diff --git a/How-To/README.md b/How-To/README.md index 6b9cfbf..00199ac 100644 --- a/How-To/README.md +++ b/How-To/README.md @@ -1,6 +1,6 @@ # pyEXP-examples/How-To -Cookbook examples +Cookbook examples from the EXP developers and user-contributed research tools. ## Organization @@ -8,3 +8,6 @@ Cookbook examples | --- | --- | | Recipes | Example workflows using pyEXP | | Utilities | Using pyEXP in scripts for post-processing BFE coefficients. See the README in 'Utilities' for contents. | + +`Utilities` is a directory maintained by the EXP developers with examples of particular `pyEXP` capabilities. +We envision the `Recipes` directory as user-contributed fragments of code to perform specific research tasks. diff --git a/How-To/Recipes/README.md b/How-To/Recipes/README.md index 859e8f8..2b03a4c 100644 --- a/How-To/Recipes/README.md +++ b/How-To/Recipes/README.md @@ -14,6 +14,3 @@ Please consider contributing your own workflows to help others | Histograms | Make density projection histograms from snapshots | | Movies | Making movies of field visualizations | | mSSA | Using multivariate Singular Spectrum Analysis | -| Cosmo sims | Workflows using pyEXP on cosmological simulations | -| Satellites | Using pyEXP to investigate interacting systems | -| Streams | Examples of investigating mass loss and streams | diff --git a/How-To/Utilities/visualize Cylinder basis.py b/How-To/Utilities/visualize Cylinder basis.py index 8c46f96..ae7054e 100755 --- a/How-To/Utilities/visualize Cylinder basis.py +++ b/How-To/Utilities/visualize Cylinder basis.py @@ -57,6 +57,8 @@ def main(prog, argv) -> int: # params = pyEXP.basis.Cylindrical.cacheInfo(cfile) + print(params) + Mmax = int(params['mmax']) bconfig = """ @@ -67,19 +69,22 @@ def main(prog, argv) -> int: hcyl: {} mmax: {} nmax: {} - ncylorder: {} + ncylodd: {} + lmaxfid: {} + nmaxfid: {} ncylnx: {} ncylny: {} - eof_file: {} + cachename: {} ... """.format(params['ascl'], params['hscl'], params['mmax'], params['nmax'], - params['norder'], params['numx'], params['numy'], cfile) + params['nodd'], params['lmaxfid'], params['nmaxfid'], + params['numx'], params['numy'], cfile) # Construct the basis instance # basis = pyEXP.basis.Basis.factory(bconfig) - Norder = int(params['norder']) + Norder = int(params['nmax']) # Plot the matrices as images with a greyscale color map # @@ -106,7 +111,7 @@ def main(prog, argv) -> int: if n0\n", + " logr: false # Log scaling in cylindrical radius\n", + " dtype: python # Use user-supplied python module\n", + " pyname: pyDens # The module name\n", + " cachename: eof.cache.runPy # The cache file name\n", + "...\n", + "\"\"\"\n" + ] + }, + { + "cell_type": "markdown", + "id": "060777d6", + "metadata": {}, + "source": [ + "We need a density function in the working directory or in your `PYTHONPATH` called \"disk_density\" with arguments $(R, z, \\phi)$ that is called `pyDens.py`. Here is a simple example:" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "29ca386f", + "metadata": {}, + "outputs": [], + "source": [ + "with open('pyDens.py', 'w') as f:\n", + " f.write(\n", + "R\"\"\"\n", + "import math\n", + "\n", + "# Gaussian blob density\n", + "def disk_density(R, z, phi):\n", + " a = 0.01 # Scale radius\n", + " h = 0.002 # Scale height\n", + " f = R*math.exp(-R*R/(a*a))\n", + " g = math.exp(-z*z/(h*h))\n", + " return f * g;\n", + "\"\"\"\n", + " )" + ] + }, + { + "cell_type": "markdown", + "id": "6f256a28", + "metadata": {}, + "source": [ + "## Construct the basis\n", + "\n", + "Now we can construct the basis instance from this config and the EOF cache file produced by `cylcache`. If you have not run `cylcache` and/or the file does not exist, the following call with construct it." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "53cdcd52", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "---- EmpCylSL::ReadH5Cache: read \n", + "---- EmpCylSL::read_cache: table forwarded to all processes\n", + "---- Cylindrical::orthoTest: worst=0.00023113\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Worker 0: tables allocated, MMAX=6\n" + ] + } + ], + "source": [ + "# Construct the basis instance\n", + "#\n", + "disk_basis = pyEXP.basis.Basis.factory(disk_config)" + ] + }, + { + "cell_type": "markdown", + "id": "5c902369", + "metadata": {}, + "source": [ + "Look into the cache file" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "013ddcad", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "------------------------------------------------------------\n", + "Cache parameters for EmpCylSL: eof.cache.runPy\n", + "------------------------------------------------------------\n", + "mmax : 6\n", + "numx : 256\n", + "numy : 128\n", + "lmaxfid : 32\n", + "nmaxfid : 32\n", + "nmax : 12\n", + "neven : 9\n", + "nodd : 3\n", + "cmapr : 1\n", + "cmapz : 1\n", + "rmin : 0.001\n", + "rmax : 20\n", + "ascl : 0.01\n", + "hscl : 0.002\n", + "cmass : 0\n", + "------------------------------------------------------------\n" + ] + } + ], + "source": [ + "node_cyl = disk_basis.cacheInfo('eof.cache.runPy')" + ] + }, + { + "cell_type": "markdown", + "id": "799a4691", + "metadata": {}, + "source": [ + "## Viewing some basis functions\n", + "The `getBasis` member for each basis returns a vectors of arrays for the basis functions on the grid you have defined. See the following examples." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "6271d915", + "metadata": {}, + "outputs": [], + "source": [ + "# Get the basis grid\n", + "#\n", + "Rmin = 0.0\n", + "Rmax = 0.06\n", + "Rnum = 100\n", + "Zmin = -0.02\n", + "Zmax = 0.02\n", + "Znum = 40\n", + "\n", + "disk_grid = disk_basis.getBasis(Rmin, Rmax, Rnum, Zmin, Zmax, Znum)" + ] + }, + { + "cell_type": "markdown", + "id": "b8677bcd", + "metadata": {}, + "source": [ + "The cylindrical basis are two-dimensional merional planes. We'll use `contourf` for those." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "a0663044", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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yDhw4oNzcXJWWlurll1/WmjVrNG3aNFeZ2tpa2e122e121dbW6uDBg7Lb7dq3b5+rzLRp07R582aVlZVp69atuvvuu1VdXa0HHnig7U4eAIB24OTJk65xV7rwNX673e56ZE9LxnJ/CJlbbJI0YcIEHT16VPPmzVNlZaUGDRqkjRs3KjExUZJUWVnp9kyk5ORkbdy4UVOnTtWLL76o+Ph4Pf/8825fCzx06JAGDx7ser1kyRItWbJEN998swoLCyVJX3/9tX7605/qyJEjuvzyy5WWlqbi4mJXuwAAwDM7duzQyJEjXa/r1us+8MADWrt2bYvGcn+wGHUrneBX1dXVstlsSliepw6dIgPdHQBAEDt/6rQqHsmT0+n0y7qeujFpdnGGIru2/ltsv0nb5Le+BkpI3WIDAABoCwQkAAAAEwISAACACQEJAADAhIAEAABgQkACAAAwISABAACYEJAAAABMCEgAAAAmBCQAAAATAhIAAIAJAQkAAMCEgAQAAGBCQAIAADAhIAEAAJgQkAAAAEwISAAAACYEJAAAABMCEgAAgAkBCQAAwISABAAAYEJAAgAAMCEgAQAAmBCQAAAATAhIAAAAJgQkAAAAEwISAACACQEJAADAhIAEAABgQkACAAAwISABAACYEJAAAABMCEgAAAAmBCQAAAATAhIAAIBJyAWkl156ScnJyYqMjFRKSoo++uijJstv3rxZKSkpioyMVJ8+fbRixQq393fv3q277rpLSUlJslgsWrp0qU/aBQAADfNmTC0sLJTFYqm37dmzx699DKmAtG7dOuXk5GjWrFkqKSnR8OHDNXr0aJWXlzdYvqysTGPGjNHw4cNVUlKimTNnasqUKVq/fr2rzPfff68+ffro6aefVmxsrE/aBQAADWvpmLp3715VVla6tn/7t3/zaz8thmEYfm3Bh1JTUzVkyBAtX77ctW/AgAG6/fbbtXDhwnrln3zySb333nsqLS117Zs8ebI+/vhjFRUV1SuflJSknJwc5eTktKrdhlRXV8tmsylheZ46dIr06BgAwKXp/KnTqngkT06nU1FRUT6vv25Mml2cociuHVtV1+mTZ/SbtE0e99XbMbWwsFAjR47UsWPHdNlll7Wqr94ImRmk2tpa7dy5UxkZGW77MzIytGXLlgaPKSoqqld+1KhR2rFjh86cOeO3dgEAQH2tGVMHDx6suLg43XLLLfrwww/92U1JUrjfW/CRI0eO6Ny5c4qJiXHbHxMTI4fD0eAxDoejwfJnz57VkSNHFBcX55d2JammpkY1NTWu19XV1c22BQBAqDKPc1arVVar1W1fS8bUuLg4rVy5UikpKaqpqdHrr7+uW265RYWFhbrpppt8exIXCZmAVMdisbi9Ngyj3r7myje039ftLly4UHPnzvWqDQAA2tKH31yt8JPW5gs24ex3NZI2KSEhwW3/nDlzlJeX1+Ax3oyp/fr1U79+/Vyv09PTVVFRoSVLlhCQJCk6OlphYWH1EmZVVVW9JFonNja2wfLh4eHq2bOn39qVpBkzZig3N9f1urq6ut4fDwAA7UVFRYXbGiTz7JHU8jHVLC0tTW+88UbLO+uBkFmDFBERoZSUFBUUFLjtLygo0LBhwxo8Jj09vV75TZs2aejQoerY0bNFaS1pV7rwhxEVFeW2AQDQXpnHvIYCUkvHVLOSkhKPlsm0RsjMIElSbm6usrKyNHToUKWnp2vlypUqLy/X5MmTJV2YtTl48KBee+01SRe+sbZs2TLl5uYqOztbRUVFWrNmjd566y1XnbW1tfrss89c/z548KDsdru6du2qq666yqN2AQCAZ7wdy5cuXaqkpCRdc801qq2t1RtvvKH169e7PbLHH0IqIE2YMEFHjx7VvHnzVFlZqUGDBmnjxo1KTEyUJFVWVro9RyE5OVkbN27U1KlT9eKLLyo+Pl7PP/+87rrrLleZQ4cOafDgwa7XS5Ys0ZIlS3TzzTersLDQo3YBAIBnvB3La2trNW3aNB08eFCdOnXSNddco/fff19jxozxaz9D6jlIoYznIAEAPNVWz0G68X8eU3iX1i/S/udPlvmtr4ESMmuQAAAA2goBCQAAwISABAAAYEJAAgAAMCEgAQAAmBCQAAAATAhIAAAAJgQkAAAAEwISAACACQEJAADAhIAEAABgQkACAAAwISABAACYEJAAAABMCEgAAAAmBCQAAAATAhIAAIAJAQkAAMCEgAQAAGBCQAIAADAhIAEAAJgQkAAAAEwISAAAACYEJAAAAJPwQHfgUhNREaGwyAjX65retQHsDfzFWh7R4H4+bwAIDQSkALt4IGXwDF2NBaLmyvGZA0BwIiAFEcJSaPE0FHlaB585AAQPAlKQqhs4GTSDjy+CUXP18rkDQGCxSDvI+Wswhves5RFt9nnwuQNAYBGQQkBbDsxoWCCuP587AAQOAQloRqBDSqDbB4BLEQEphDBQtq1gmsEJpr4AwKWAgBRiGCQvbXz+ANA2CEghiEHS/4L5Ggdz3wCgvSAghSgGSf8JhWsbCn0EgFAWcgHppZdeUnJysiIjI5WSkqKPPvqoyfKbN29WSkqKIiMj1adPH61YsaJemfXr12vgwIGyWq0aOHCgNmzY4PZ+Xl6eLBaL2xYbG+vT82oJBknfC6VrGkp9BYCL+WMs97WQCkjr1q1TTk6OZs2apZKSEg0fPlyjR49WeXl5g+XLyso0ZswYDR8+XCUlJZo5c6amTJmi9evXu8oUFRVpwoQJysrK0scff6ysrCzde++92rp1q1td11xzjSorK13brl27/HqunmKQ9J1QvJah2GcAlzZ/jOX+YDEMw/BrCz6UmpqqIUOGaPny5a59AwYM0O23366FCxfWK//kk0/qvffeU2lpqWvf5MmT9fHHH6uoqEiSNGHCBFVXV+vPf/6zq0xmZqa6d++ut956S9KFGaR3331Xdru9xX2vrq6WzWZT35kLFBYZ2eJ6GsJTl1sv1IMGfwNA+3L+1GlVPJInp9OpqKgon9dfNybd+D+PKbyLtVV1nf2uRv/8yTKP++qPsdwfQmYGqba2Vjt37lRGRobb/oyMDG3ZsqXBY4qKiuqVHzVqlHbs2KEzZ840WcZc5xdffKH4+HglJyfrvvvu01dffdXaU/KZQA/uSVcebnRD2wj03wAAeMJfY7k/hExAOnLkiM6dO6eYmBi3/TExMXI4HA0e43A4Gix/9uxZHTlypMkyF9eZmpqq1157TX/5y1+0atUqORwODRs2TEePHm20vzU1Naqurnbb/CkQA6QnISgUglJ7CRft5TwAhCbzmFdTU1OvjL/Gcn8IuR+rtVgsbq8Nw6i3r7ny5v3N1Tl69GjXv6+99lqlp6erb9++evXVV5Wbm9tguwsXLtTcuXObOZvQ1JLAU3fM/q8v93V3WoVQAeBSVn4oWh06tW7Zx/lTpyVJCQkJbvvnzJmjvLy8Bo/xx1juayETkKKjoxUWFlYvYVZVVdVLlnViY2MbLB8eHq6ePXs2WaaxOiWpS5cuuvbaa/XFF180WmbGjBlu4am6urreH4+vWcsj/L4WpbWzQUlXHg6akNQew1Fb/A0AQEMqKirc1iBZrfXXNvlrLPeHkLnFFhERoZSUFBUUFLjtLygo0LBhwxo8Jj09vV75TZs2aejQoerYsWOTZRqrU7pw+6y0tFRxcXGNlrFarYqKinLbQp2vbpUF+y23UNcegx+A4Gce8xoKSP4ay/0hZAKSJOXm5mr16tV6+eWXVVpaqqlTp6q8vFyTJ0+WdGHW5v7773eVnzx5sg4cOKDc3FyVlpbq5Zdf1po1azRt2jRXmccff1ybNm3SokWLtGfPHi1atEgffPCBcnJyXGWmTZumzZs3q6ysTFu3btXdd9+t6upqPfDAA2127p7y1+Do61BDSPIvQhKAYOWPsdwfQuYWm3ThK/lHjx7VvHnzVFlZqUGDBmnjxo1KTEyUJFVWVro9RyE5OVkbN27U1KlT9eKLLyo+Pl7PP/+87rrrLleZYcOG6e2339bs2bP11FNPqW/fvlq3bp1SU1NdZb7++mv99Kc/1ZEjR3T55ZcrLS1NxcXFrnbRMoG83UaAAIDA8MdY7g8h9RykUObP5yA1xJfrUPw929PWIelSCkesRwJCU1s9BylheZ5PFmn7s6+BElK32OA5X4WAtrgVxu02/7mUwiAA+BIBCUGhrUISgQEA4AkCEhrFzE77QCgEAO8RkNpYtwpD3Q78a/OnUBsY/R3IQu16AAACJ6S+xdYemUPSiUT/PRXUG8wetS88QBIAvMMMUpBpi5mlYEYwAwAEAwJSkPJVUOK20gVcB64BAHiDgBTkAjGjFOhZnEC3DwAAASlEtCYkMXOAOvwtAIBnCEgh5FJan+TLWSRCAQDAWwSkEHSphCT4B4ERAJpHQApR3oYkTwfFYFr/44u+EAYAAC1BQAphzCShpQiOANA0AlKIIyQBAOB7PEm7Heh2wAj4E7hvi93T4P4CR/827sm/MEsCAGgpZpDaiUDNJN0Wu6fRcOTJ+80JpjVR7Q0BEgAaxwzSJaS53+PyJox4G3rqygdyRgkAAE8RkNpYVFmNwsMbvx3m7Gttcd1tdautNTNCt8XuISQBAIIet9iCjO3LGrfNW/6+1daacOTLOprD7SPPcJ0AoGEEpCDX0qDkD74MNm0RkgAAaCkCUojwJij5YxbJH4HG0zpZqA0AaGsEpBDT2tkkbqkAANA8AlII8iQk+XIWyZ+3w/xRNyHQO1wvAKiPgBSigmVdEgAA7REBKYQ1F5K8mUUK5DofFmwDAIINASnE+XsmKVjCCwu1/YvbbADgjoDUDrSH223BEsQAAJB4kjZ84O6o/9voe3+sHtKGPWEmBADgG8wgtRONzSI1tA7J0xDhyaxOU+HIk/cBAAhGzCC1sYjPDym8g+ezHLX9r/Rjb1rOm+Bzd9T/9Wgmid9pAwAEC2aQglzEnq8Vsedrj8oG81okZpIAAKGEgBQiPA1JbaGlYYeQBAAIFQSkENLSkOSP32ZD+8MCdwD4FwJSiGkuJPnqNltjC7RbOwvELBIAIBQQkEJQMN1u8zWehwQACAYEpBDVVEgK5sXakv9mkbhFBADwlZALSC+99JKSk5MVGRmplJQUffTRR02W37x5s1JSUhQZGak+ffpoxYoV9cqsX79eAwcOlNVq1cCBA7Vhw4ZWtwsAAFrn2LFjysrKks1mk81mU1ZWlo4fP97kMZMmTZLFYnHb0tLSvG7bq4B0yy236J133mn0/SNHjqhPnz5ed8JT69atU05OjmbNmqWSkhINHz5co0ePVnl5eYPly8rKNGbMGA0fPlwlJSWaOXOmpkyZovXr17vKFBUVacKECcrKytLHH3+srKws3Xvvvdq6dWuL2wUAAK03ceJE2e125efnKz8/X3a7XVlZWc0el5mZqcrKSte2ceNGr9u2GIbh8VecOnTooA4dOmjWrFmaO3duvfe/+eYbxcfH69y5c153xBOpqakaMmSIli9f7to3YMAA3X777Vq4cGG98k8++aTee+89lZaWuvZNnjxZH3/8sYqKiiRJEyZMUHV1tf785z+7ymRmZqp79+566623WtRuQ6qrq2Wz2XRrr4e8elBkU5p6iKSzr9Xt9YlEi9vrmt61bq/NPwbrr0XadZp6cGRjD4vc//XlTdbJLbbWM/9dAAiM86dOq+KRPDmdTkVFRfm8/roxKWF5njp0imxVXf7qa2lpqQYOHKji4mKlpqZKkoqLi5Wenq49e/aoX79+DR43adIkHT9+XO+++26r2vf6Ftvy5cv1X//1X7rjjjt08uTJVjXujdraWu3cuVMZGRlu+zMyMrRly5YGjykqKqpXftSoUdqxY4fOnDnTZJm6OlvSriTV1NSourrabQMAoL0yj3k1Na1bD1tUVCSbzeYKR5KUlpYmm83W5PgrSYWFherVq5euvvpqZWdnq6qqyuv2vQ5IP/nJT1RUVKTPPvtM6enp+uqrr7xutCWOHDmic+fOKSYmxm1/TEyMHA5Hg8c4HI4Gy589e1ZHjhxpskxdnS1pV5IWLlzoumdqs9mUkJDg2YkCANBGIioiZC1v3RZRcWH2PiEhwW3c8/QOS2McDod69epVb3+vXr2aHH9Hjx6tN998U3/729/0zDPPaPv27frRj37kdWBr0SLtAQMGaNu2bUpISNAPf/hDffDBBy2ppkUsFvdbRYZh1NvXXHnzfk/q9LbdGTNmyOl0uraKiopGywIAEOoqKircxr0ZM2Y0WC4vL6/eImrztmPHDkn1x16p+fF3woQJ+vGPf6xBgwZp3Lhx+vOf/6zPP/9c77//vlfn0+Ifq7XZbHr//fc1Y8YMjRkzRosWLdLEiRNbWl2zoqOjFRYWVi81VlVV1ZvdqRMbG9tg+fDwcPXs2bPJMnV1tqRdSbJarbJarY2+DwBAexIVFeXRGqTHHntM9913X5NlkpKS9Mknn+ibb76p997hw4ebHH/N4uLilJiYqC+++MLjYyQvA1JDsypPP/20Bg8erAcffFB/+9vfvGrcGxEREUpJSVFBQYHuuOMO1/6CggL95Cc/afCY9PR0/elPf3Lbt2nTJg0dOlQdO3Z0lSkoKNDUqVPdygwbNqzF7QIAgIZFR0crOjq62XLp6elyOp3atm2bbrjhBknS1q1b5XQ6XWO0J44ePaqKigrFxcV51U+vbrE19oW3CRMm6B//+Id27drlVePeys3N1erVq/Xyyy+rtLRUU6dOVXl5uSZPnizpwm2t+++/31V+8uTJOnDggHJzc1VaWqqXX35Za9as0bRp01xlHn/8cW3atEmLFi3Snj17tGjRIn3wwQfKycnxuF0AAOBbAwYMUGZmprKzs1VcXKzi4mJlZ2dr7Nixbt9g69+/v+v5hSdPntS0adNUVFSk/fv3q7CwUOPGjVN0dLTbJIcnvJpB+vDDD9WjR48G37v++uu1c+dOr+/xeWPChAk6evSo5s2bp8rKSg0aNEgbN25UYmKiJKmystLt2UTJycnauHGjpk6dqhdffFHx8fF6/vnnddddd7nKDBs2TG+//bZmz56tp556Sn379tW6devcVs03124gePMV/2DT1Ff8W6Omdy1f9QeAduTNN9/UlClTXN8kHz9+vJYtW+ZWZu/evXI6nZKksLAw7dq1S6+99pqOHz+uuLg4jRw5UuvWrVO3bt28atur5yCh5Xz5HKSmwpHUcEAKpucgteQZSFLzz0GSeBZSa/EcJCA4tNVzkPrOXKCwyNY9B+nc6dP6csFMv/U1UELup0Yudb4IR55oLKi0dvbHX7NHAAD4EgEphDQXjoDWYPYIAP6FgBQigikctXQWiNkjAECoaPFzkOB/3oaiYF6c7Uk4amr9EQAAbYmA1MZqr47X+fDWLYhrKwWO/o0u1q4LPJ4s2mbmCAAQarjF1k40NnvU0AJtX641aS78EI4AAKGIGSS0WjCFIJ6FBADwBWaQ2oFgXnvkKdYfBRbfYAMAdwSkENdUOGrJ84/MgiW4ePKQSAAAfIWAFMJ8OXMUyAASLCEMAIA6BKQQ1R5uqwEAEKwISCHIk3Dki9trdfw5w+OPullP4x2uFwDUx7fYQogvZo2CaTDk1hoAIFgxgxQivAlHvpw9quPrMONNfSzQBgC0NQJSEHP2tbo2T/kjHNXxVUhi5ggAEOwISEHk4kAUrIuwWxtu2iocBdOtxGDGdQKAhrEGqY1VJ1sVFuGf8OPP2aOLNfUbbc0dBwBAKCAgXUKamy3Y//XlSrrysEd11YUdT4ISwQgAEGoISO1EW80emTUVlHwRjFig7T/cXgOAxhGQ2oFAhaOLBeMsET9cCwBoKRZph7hgCEcAALQ3BKQQ5k048vR2SjDd0gqmvrQ33F4DgKYRkEIUM0eeIQgAAFqCgBSCCEdoDUIjADSPRdohpKXBKBQHRF/eXmOxNgDAWwSkEMCMEXwlFMMyAAQCt9iCXCDCUaAXRwe6fQAAmEEKUr4KRswYXMBtNv4WAMAbBKQgwq00Zo8AAMGBgBRgwRqKvPldNgQ/Zo8AwDsEpDZ2IsGisMi2CUWhNij6e/aI22wAAE+xSBuN4nZX+xBqQRkAggEBqZ3y1aDYViGprdq51MLCpXa+AOArBCQEXFvPVBEaAADNISC1Q74OAP4MMNzG8x+CIAC0XMgEpGPHjikrK0s2m002m01ZWVk6fvx4k8cYhqG8vDzFx8erU6dOGjFihHbv3u1WpqamRr/85S8VHR2tLl26aPz48fr666/dyiQlJclisbht06dP9/UpXnICGY4IDwAQ/ObPn69hw4apc+fOuuyyyzw6xpOx3xMhE5AmTpwou92u/Px85efny263Kysrq8ljFi9erGeffVbLli3T9u3bFRsbq9tuu00nTpxwlcnJydGGDRv09ttv6x//+IdOnjypsWPH6ty5c251zZs3T5WVla5t9uzZfjnP1vLXwO/rMMPMkX8RAAG0B7W1tbrnnnv0yCOPeHyMJ2O/J0Lia/6lpaXKz89XcXGxUlNTJUmrVq1Senq69u7dq379+tU7xjAMLV26VLNmzdKdd94pSXr11VcVExOj3//+93r44YfldDq1Zs0avf7667r11lslSW+88YYSEhL0wQcfaNSoUa76unXrptjY2DY42+BVF2pa+3ykYAlH7fVr/4QjAO3F3LlzJUlr1671qLwnY7+nQmIGqaioSDabzRWOJCktLU02m01btmxp8JiysjI5HA5lZGS49lmtVt18882uY3bu3KkzZ864lYmPj9egQYPq1bto0SL17NlT119/vebPn6/a2qYHoZqaGlVXV7tt/tZWA2NrAk6whKP2inAEIFDMY15NTU2b98GTsd9TITGD5HA41KtXr3r7e/XqJYfD0egxkhQTE+O2PyYmRgcOHHCViYiIUPfu3euVubjexx9/XEOGDFH37t21bds2zZgxQ2VlZVq9enWjfV64cKEr+bZH3j5pO1iDUXudRQIAT3SrMBQWYbSqjnO1F45PSEhw2z9nzhzl5eW1qm5veTL2eyqgM0h5eXn1Fj+btx07dkiSLJb6T582DKPB/Rczv+/JMeYyU6dO1c0336zrrrtODz30kFasWKE1a9bo6NGjjdYxY8YMOZ1O11ZRUdFkm60ViJmD/V9f7tpa8n6waC+zLu3lPACEpoqKCrdxb8aMGQ2W82bsb6mWjP1mAZ1Beuyxx3Tfffc1WSYpKUmffPKJvvnmm3rvHT58uF5KrFO3XsjhcCguLs61v6qqynVMbGysamtrdezYMbdZpKqqKg0bNqzRPqWlpUmS9u3bp549ezZYxmq1ymq1NnluvhIMA2Owh6D2Lhj+BgBc2qKiohQVFdVsOU/H/pbwZOz3VEADUnR0tKKjo5stl56eLqfTqW3btumGG26QJG3dulVOp7PRIJOcnKzY2FgVFBRo8ODBki6sht+8ebMWLVokSUpJSVHHjh1VUFCge++9V5JUWVmpTz/9VIsXL260PyUlJZLkdvER2kL5VhvhCEAo8XTsbwlPxn5PhcQi7QEDBigzM1PZ2dkqLi5WcXGxsrOzNXbsWLdvsPXv318bNmyQdGF6LScnRwsWLNCGDRv06aefatKkSercubMmTpwoSbLZbHrwwQf1n//5n/rrX/+qkpIS/exnP9O1117r+lZbUVGRnnvuOdntdpWVlekPf/iDHn74YY0fP169e/du+4thwuDoO6F4LUOxzwDgqfLyctntdpWXl+vcuXOy2+2y2+06efKkq4y3Y7+nQmKRtiS9+eabmjJlimtl+vjx47Vs2TK3Mnv37pXT6XS9fuKJJ3Tq1Ck9+uijOnbsmFJTU7Vp0yZ169bNVea5555TeHi47r33Xp06dUq33HKL1q5dq7CwMEkXbpWtW7dOc+fOVU1NjRITE5Wdna0nnniiDc66aQyOvhdKM0l8/gDau1/96ld69dVXXa/rZoU+/PBDjRgxQlLLxn5PWAzDaN3ydXikurpaNptNfWcuUFhkZKvrY3D0r2APSXz+QPt2/tRpVTySJ6fT6dG6Hm/VjUnXZ81XWETrxqRztadlf32W3/oaKCFxiw3uGBz9L5ivcTD3DQDaCwJSiGFwbDvBeK2DsU8A0B4RkEIIg2PbC5ZrXtO7Nmj6AgCXAgJSiGBwDJxAX/tAtw8AlyICUghggAy8QHwGzBoBQOCEzNf8L0UMjsGl7vPw9zfc+NwBIPAISEGKQTJ4+Sso8ZkDQPAgIAURBsjQcvHn1dKwxGcOAMGJgBRgDJDtQ0Ofozk08VkDQOggILWx2oRadejE2vhLAYEIAEIXIzUAAIAJAQkAAMCEgAQAAGBCQAIAADAhIAEAAJgQkAAAAEwISAAAACYEJAAAABMCEgAAgAkBCQAAwISABAAAYEJAAgAAMCEgAQAAmBCQAAAATAhIAAAAJgQkAAAAEwISAACACQEJAADAhIAEAABgQkACAAAwISABAACYEJAAAABMCEgAAAAmBCQAAAATAhIAAIBJyASkY8eOKSsrSzabTTabTVlZWTp+/HiTxxiGoby8PMXHx6tTp04aMWKEdu/e7VZm5cqVGjFihKKiomSxWBqssyVtAwCA1pk/f76GDRumzp0767LLLvPomEmTJslisbhtaWlpXrcdMgFp4sSJstvtys/PV35+vux2u7Kyspo8ZvHixXr22We1bNkybd++XbGxsbrtttt04sQJV5nvv/9emZmZmjlzpk/bBgAArVNbW6t77rlHjzzyiFfHZWZmqrKy0rVt3LjR67bDvT4iAEpLS5Wfn6/i4mKlpqZKklatWqX09HTt3btX/fr1q3eMYRhaunSpZs2apTvvvFOS9OqrryomJka///3v9fDDD0uScnJyJEmFhYU+axsAALTe3LlzJUlr16716jir1arY2NhWtR0SM0hFRUWy2WyugCJJaWlpstls2rJlS4PHlJWVyeFwKCMjw7XParXq5ptvbvQYX7UtSTU1NaqurnbbAABor8xjXk1NTcD6UlhYqF69eunqq69Wdna2qqqqvK4jJGaQHA6HevXqVW9/r1695HA4Gj1GkmJiYtz2x8TE6MCBA35tW5IWLlzoSr4AAASjqLIahYdbWlXH2bMXglBCQoLb/jlz5igvL69VdbfE6NGjdc899ygxMVFlZWV66qmn9KMf/Ug7d+6U1Wr1uJ6AziDl5eXVW0hl3nbs2CFJsljqf4CGYTS4/2Lm9z05prk6PKlnxowZcjqdrq2iosKrNgEACCUVFRVu496MGTMaLOfN2N8SEyZM0I9//GMNGjRI48aN05///Gd9/vnnev/9972qJ6AzSI899pjuu+++JsskJSXpk08+0TfffFPvvcOHD9ebIapTd+/R4XAoLi7Otb+qqqrRYxqrx9u2pQu387xJqgAAhLKoqChFRUU1W87Tsd9X4uLilJiYqC+++MKr4wIakKKjoxUdHd1sufT0dDmdTm3btk033HCDJGnr1q1yOp0aNmxYg8ckJycrNjZWBQUFGjx4sKQLq+E3b96sRYsWedzHlrQNAAAa5unY7ytHjx5VRUWF22SJJ0JikfaAAQOUmZmp7OxsFRcXq7i4WNnZ2Ro7dqzbt8j69++vDRs2SLpwWywnJ0cLFizQhg0b9Omnn2rSpEnq3LmzJk6c6DrG4XDIbrdr3759kqRdu3bJbrfr22+/9aptAADgW+Xl5bLb7SovL9e5c+dkt9tlt9t18uRJV5mLx/6TJ09q2rRpKioq0v79+1VYWKhx48YpOjpad9xxh1dth8QibUl68803NWXKFNe30saPH69ly5a5ldm7d6+cTqfr9RNPPKFTp07p0Ucf1bFjx5SamqpNmzapW7durjIrVqxwW0x90003SZJeeeUVTZo0yeO2AQCAb/3qV7/Sq6++6npdd0foww8/1IgRIyS5j/1hYWHatWuXXnvtNR0/flxxcXEaOXKk1q1b5zb2e8JiGIbhm9NAU6qrq2Wz2ZSwPE8dOkUGujsAgCB2/tRpVTySJ6fT6dG6Hm/VjUk3/fuvFB7eujHp7NnT+vs/5vmtr4ESErfYAAAA2hIBCQAAwISABAAAYEJAAgAAMCEgAQAAmBCQAAAATAhIAAAAJgQkAAAAEwISAACACQEJAADAhIAEAABgQkACAAAwISABAACYEJAAAABMCEgAAAAmBCQAAAATAhIAAIAJAQkAAMCEgAQAAGBCQAIAADAhIAEAAJgQkAAAAEwISAAAACYEJAAAABMCEgAAgAkBCQAAwISABAAAYEJAAgAAMCEgAQAAmBCQAAAATAhIAAAAJgQkAAAAEwISAACACQEJAADAhIAEAABgEjIB6dixY8rKypLNZpPNZlNWVpaOHz/e5DGGYSgvL0/x8fHq1KmTRowYod27d7uVWblypUaMGKGoqChZLJYG60xKSpLFYnHbpk+f7sOzAwAAF9u/f78efPBBJScnq1OnTurbt6/mzJmj2traJo/zZOz3RMgEpIkTJ8putys/P1/5+fmy2+3Kyspq8pjFixfr2Wef1bJly7R9+3bFxsbqtttu04kTJ1xlvv/+e2VmZmrmzJlN1jVv3jxVVla6ttmzZ/vkvAAAQH179uzR+fPn9bvf/U67d+/Wc889pxUrVjQ7Xnsy9nsivDWdbyulpaXKz89XcXGxUlNTJUmrVq1Senq69u7dq379+tU7xjAMLV26VLNmzdKdd94pSXr11VcVExOj3//+93r44YclSTk5OZKkwsLCJvvQrVs3xcbG+u6kAABAozIzM5WZmel63adPH+3du1fLly/XkiVLGjzG07HfEyExg1RUVCSbzeYKR5KUlpYmm82mLVu2NHhMWVmZHA6HMjIyXPusVqtuvvnmRo9pyqJFi9SzZ09df/31mj9/frNTfAAAwLecTqd69OjR6Pu+HPtDYgbJ4XCoV69e9fb36tVLDoej0WMkKSYmxm1/TEyMDhw44FX7jz/+uIYMGaLu3btr27ZtmjFjhsrKyrR69epGj6mpqVFNTY3rdXV1tVdtAgAQSszjnNVqldVq9Vn9X375pV544QU988wzjZbx5dgf0ICUl5enuXPnNllm+/btkiSLxVLvPcMwGtx/MfP7nhxjNnXqVNe/r7vuOnXv3l133323a1apIQsXLmz23AAACKSIzw8pvENEq+rocP7CHZWEhAS3/XPmzFFeXl698p6O/UOHDnW9PnTokDIzM3XPPffooYcearZPvhj7AxqQHnvsMd13331NlklKStInn3yib775pt57hw8frpcS69StF3I4HIqLi3Ptr6qqavQYT6WlpUmS9u3b12hAmjFjhnJzc12vq6ur6/3xAADQXlRUVCgqKsr1urHZI0/H/jqHDh3SyJEjlZ6erpUrVzZ5nC/H/oAGpOjoaEVHRzdbLj09XU6nU9u2bdMNN9wgSdq6daucTqeGDRvW4DHJycmKjY1VQUGBBg8eLEmqra3V5s2btWjRolb1u6SkRJLcLr6Zr6cWAQAIZlFRUW4BqTGejv2SdPDgQY0cOVIpKSl65ZVX1KFD00unfTn2h8Qi7QEDBigzM1PZ2dkqLi5WcXGxsrOzNXbsWLdvsPXv318bNmyQdGF6LScnRwsWLNCGDRv06aefatKkSercubMmTpzoOsbhcMhut2vfvn2SpF27dslut+vbb7+VdGGB+HPPPSe73a6ysjL94Q9/0MMPP6zx48erd+/ebXgVAAC4dBw6dEgjRoxQQkKClixZosOHD8vhcNRbe9ySsd8TIbFIW5LefPNNTZkyxbUyffz48Vq2bJlbmb1798rpdLpeP/HEEzp16pQeffRRHTt2TKmpqdq0aZO6devmKrNixQq3e6E33XSTJOmVV17RpEmTZLVatW7dOs2dO1c1NTVKTExUdna2nnjiCX+eLgAAl7RNmzZp37592rdvn6688kq39wzDcP27JWO/JyzGxa3Ab6qrq2Wz2ZSwPE8dOkUGujsAgCB2/tRpVTySJ6fT6dFtK2/VjUm39nqo1Yu0z56v1QdVq/3W10AJiVtsAAAAbYmABAAAYEJAAgAAMCEgAQAAmBCQAAAATAhIAAAAJgQkAAAAEwISAACACQEJAADAhIAEAABgQkACAAAwISABAACYEJAAAABMCEgAAAAmBCQAAAATAhIAAIAJAQkAAMCEgAQAAGBCQAIAADAhIAEAAJgQkAAAAEwISAAAACYEJAAAABMCEgAAgAkBCQAAwISABAAAYEJAAgAAMCEgAQAAmBCQAAAATAhIAAAAJgQkAAAAEwISAACACQEJAADAhIAEAABgQkACAAAwCZmAdOzYMWVlZclms8lmsykrK0vHjx9v8hjDMJSXl6f4+Hh16tRJI0aM0O7du13vf/vtt/rlL3+pfv36qXPnzurdu7emTJkip9PZ6rYBAEDL7d+/Xw8++KCSk5PVqVMn9e3bV3PmzFFtbW2Tx02aNEkWi8VtS0tL87r9kAlIEydOlN1uV35+vvLz82W325WVldXkMYsXL9azzz6rZcuWafv27YqNjdVtt92mEydOSJIOHTqkQ4cOacmSJdq1a5fWrl2r/Px8Pfjgg61uGwAAtNyePXt0/vx5/e53v9Pu3bv13HPPacWKFZo5c2azx2ZmZqqystK1bdy40ev2LYZhGC3peFsqLS3VwIEDVVxcrNTUVElScXGx0tPTtWfPHvXr16/eMYZhKD4+Xjk5OXryySclSTU1NYqJidGiRYv08MMPN9jWf//3f+tnP/uZvvvuO4WHh7eo7YZUV1fLZrMpYXmeOnSKbMllAABcIs6fOq2KR/LkdDoVFRXl8/rrxqRbez2k8A4Rrarr7PlafVC12m99vdhvf/tbLV++XF999VWjZSZNmqTjx4/r3XffbVVbITGDVFRUJJvN5gookpSWliabzaYtW7Y0eExZWZkcDocyMjJc+6xWq26++eZGj5Hk+oDDw8Nb3DYAAPA9p9OpHj16NFuusLBQvXr10tVXX63s7GxVVVV53VZ4SzrY1hwOh3r16lVvf69eveRwOBo9RpJiYmLc9sfExOjAgQMNHnP06FH9+te/dptdaknb0oXZqpqaGtfrunVN50+dbvQYAACkf40V/r7Jc9aolc77oA5dmJW6mNVqldVqbV3lF/nyyy/1wgsv6Jlnnmmy3OjRo3XPPfcoMTFRZWVleuqpp/SjH/1IO3fu9K4/RgDNmTPHkNTktn37dmP+/PnG1VdfXe/4q666yli4cGGDdf/zn/80JBmHDh1y2//QQw8Zo0aNqlfe6XQaqampRmZmplFbW+va35K2PT03NjY2Nja2prYvv/yy0XGmNU6dOmXExsb6rJ9du3att2/OnDktHh+3b9/udszBgweNq666ynjwwQe9PtdDhw4ZHTt2NNavX+/VcQGdQXrsscd03333NVkmKSlJn3zyib755pt67x0+fLjeDFGd2NhYSRdmgOLi4lz7q6qq6h1z4sQJZWZmqmvXrtqwYYM6duzoVo+3bUvSjBkzlJub63p9/PhxJSYmqry8XDabrdHj2rvq6molJCSooqLC7/eqgxnX4QKuwwVchwu4Dv/idDrVu3dvj24ntURkZKTKysqa/UaYpwzDkMVicdvX2GyNp2N/nUOHDmnkyJFKT0/XypUrve5bXFycEhMT9cUXX3h1XEADUnR0tKKjo5stl56eLqfTqW3btumGG26QJG3dulVOp1PDhg1r8Jjk5GTFxsaqoKBAgwcPliTV1tZq8+bNWrRokatcdXW1Ro0aJavVqvfee0+Rke4LqFvSttT41KLNZrvk/8OXpKioKK6DuA51uA4XcB0u4Dr8S4cO/lsqHBkZWW/Mawuejv2SdPDgQY0cOVIpKSl65ZVXWnQ9jh49qoqKCrfJEk+ExCLtAQMGKDMzU9nZ2SouLlZxcbGys7M1duxYt2+R9e/fXxs2bJAkWSwW5eTkaMGCBdqwYYM+/fRTTZo0SZ07d9bEiRMlXZg5ysjI0Hfffac1a9aourpaDodDDodD586d86ptAADgO4cOHdKIESOUkJCgJUuW6PDhw64x+mIXj/0nT57UtGnTVFRUpP3796uwsFDjxo1TdHS07rjjDq/aD4lF2pL05ptvasqUKa5vpY0fP17Lli1zK7N37163hzw+8cQTOnXqlB599FEdO3ZMqamp2rRpk7p16yZJ2rlzp7Zu3SpJuuqqq9zqKisrc03xedI2AADwnU2bNmnfvn3at2+frrzySrf3jIsWr1889oeFhWnXrl167bXXdPz4ccXFxWnkyJFat26da+z3mNerndAip0+fNubMmWOcPn060F0JKK7DBVyHC7gOF3AdLuA6/AvXIvBC4kGRAAAAbSkk1iABAAC0JQISAACACQEJAADAhIAEAABgQkBqoZdeeknJycmKjIxUSkqKPvrooybLb968WSkpKYqMjFSfPn20YsWKemXWr1+vgQMHymq1auDAga7nOgQzX1+H3bt366677lJSUpIsFouWLl3qx977jq+vw6pVqzR8+HB1795d3bt316233qpt27b58xR8xtfX4p133tHQoUN12WWXqUuXLrr++uv1+uuv+/MUfMIf/4+o8/bbb8tisej222/3ca99z9fXYe3atbJYLPW206eD+3cu/fH3cPz4cf3iF79QXFycIiMjNWDAAG3cuNFfp3DpCfTX6ELR22+/bXTs2NFYtWqV8dlnnxmPP/640aVLF+PAgQMNlv/qq6+Mzp07G48//rjx2WefGatWrTI6duxo/PGPf3SV2bJlixEWFmYsWLDAKC0tNRYsWGCEh4cbxcXFbXVaXvPHddi2bZsxbdo046233jJiY2ON5557ro3OpuX8cR0mTpxovPjii0ZJSYlRWlpq/PznPzdsNpvx9ddft9VptYg/rsWHH35ovPPOO8Znn31m7Nu3z1i6dKkRFhZm5Ofnt9Vpec0f16HO/v37jSuuuMIYPny48ZOf/MTPZ9I6/rgOr7zyihEVFWVUVla6bcHMH9ehpqbGGDp0qDFmzBjjH//4h7F//37jo48+Mux2e1udVrtHQGqBG264wZg8ebLbvv79+xvTp09vsPwTTzxh9O/f323fww8/bKSlpble33vvvUZmZqZbmVGjRhn33Xefj3rte/64DhdLTEwMiYDk7+tgGIZx9uxZo1u3bsarr77a+g77UVtcC8MwjMGDBxuzZ89uXWf9yF/X4ezZs8aNN95orF692njggQeCPiD54zq88sorhs1m83lf/ckf12H58uVGnz593H5cHb7FLTYv1dbWaufOna6natfJyMjQli1bGjymqKioXvlRo0Zpx44dOnPmTJNlGqsz0Px1HUJNW12H77//XmfOnPHbD1f6QltcC8Mw9Ne//lV79+7VTTfd5LvO+5A/r8O8efN0+eWX68EHH/R9x33Mn9fh5MmTSkxM1JVXXqmxY8eqpKTE9yfgI/66Du+9957S09P1i1/8QjExMRo0aJAWLFjg+pkstB4ByUtHjhzRuXPnFBMT47Y/Jiam3u/D1HE4HA2WP3v2rI4cOdJkmcbqDDR/XYdQ01bXYfr06briiit06623+qbjfuDPa+F0OtW1a1dFREToxz/+sV544QXddtttvj8JH/DXdfjnP/+pNWvWaNWqVf7puI/56zr0799fa9eu1Xvvvae33npLkZGRuvHGG73+pfa24q/r8NVXX+mPf/yjzp07p40bN2r27Nl65plnNH/+fP+cyCUoZH6LLdhYLBa314Zh1NvXXHnzfm/rDAb+uA6hyJ/XYfHixXrrrbdUWFgYkF/e9pY/rkW3bt1kt9t18uRJ/fWvf1Vubq769OmjESNG+K7jPubL63DixAn97Gc/06pVqzz+FfRg4eu/h7S0NKWlpbnev/HGGzVkyBC98MILev75533VbZ/z9XU4f/68evXqpZUrVyosLEwpKSk6dOiQfvvb3+pXv/qVj3t/aSIgeSk6OlphYWH1kn9VVVW9xF8nNja2wfLh4eHq2bNnk2UaqzPQ/HUdQo2/r8OSJUu0YMECffDBB7ruuut823kf8+e16NChg+sHpa+//nqVlpZq4cKFQRmQ/HEddu/erf3792vcuHGu98+fPy9JCg8P1969e9W3b18fn0nrtNX/Izp06KAf/vCHQTuD5K/rEBcXp44dOyosLMxVZsCAAXI4HKqtrVVERISPz+TSwy02L0VERCglJUUFBQVu+wsKCjRs2LAGj0lPT69XftOmTRo6dKg6duzYZJnG6gw0f12HUOPP6/Db3/5Wv/71r5Wfn6+hQ4f6vvM+1pZ/E4ZhqKampvWd9gN/XIf+/ftr165dstvtrm38+PEaOXKk7Ha7EhIS/HY+LdVWfw+GYchutysuLs43Hfcxf12HG2+8Ufv27XMFZUn6/PPPFRcXRzjylbZeFd4e1H1lc82aNcZnn31m5OTkGF26dDH2799vGIZhTJ8+3cjKynKVr/vK5tSpU43PPvvMWLNmTb2vbP7zn/80wsLCjKefftooLS01nn766ZD5mr8vr0NNTY1RUlJilJSUGHFxcca0adOMkpIS44svvmjz8/OUP67DokWLjIiICOOPf/yj21eZT5w40ebn5w1/XIsFCxYYmzZtMr788kujtLTUeOaZZ4zw8HBj1apVbX5+nvLHdTALhW+x+eM65OXlGfn5+caXX35plJSUGD//+c+N8PBwY+vWrW1+fp7yx3UoLy83unbtajz22GPG3r17jf/93/81evXqZfzmN79p8/NrrwhILfTiiy8aiYmJRkREhDFkyBBj8+bNrvceeOAB4+abb3YrX1hYaAwePNiIiIgwkpKSjOXLl9er87//+7+Nfv36GR07djT69+9vrF+/3t+n0Wq+vg5lZWWGpHqbuZ5g4+vrkJiY2OB1mDNnThucTev4+lrMmjXLuOqqq4zIyEije/fuRnp6uvH222+3xam0ij/+H3GxUAhIhuH765CTk2P07t3biIiIMC6//HIjIyPD2LJlS1ucSqv44+9hy5YtRmpqqmG1Wo0+ffoY8+fPN86ePevvU7lkWAzj/6/8AgAAgCTWIAEAANRDQAIAADAhIAEAAJgQkAAAAEwISAAAACYEJAAAABMCEgAAgAkBCQAAwISABKDNTZo0SRaLRRaLReHh4erdu7ceeeQRHTt2LNBdAwBJBCQAAZKZmanKykrt379fq1ev1p/+9Cc9+uijge4WAEiSwgPdAQCXJqvVqtjYWEnSlVdeqQkTJmjt2rWB7RQA/H/MIAEIuK+++kr5+fnq2LFjoLsCAJKYQQIQIP/7v/+rrl276ty5czp9+rQk6dlnnw1wrwDgAgISgIAYOXKkli9fru+//16rV6/W559/rl/+8peB7hYASOIWG4AA6dKli6666ipdd911ev7551VTU6O5c+cGulsAIImABCBIzJkzR0uWLNGhQ4cC3RUAICABCA4jRozQNddcowULFgS6KwBAQAIQPHJzc7Vq1SpVVFQEuisALnEWwzCMQHcCAAAgmDCDBAAAYEJAAgAAMCEgAQAAmBCQAAAATAhIAAAAJgQkAAAAEwISAACACQEJAADAhIAEAABgQkACAAAwISABAACYEJAAAABM/h85Y05jSx0i+wAAAABJRU5ErkJggg==", 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pJydHa9eu1QsvvKCSkhJNnz5dZWVlmjp1qqSLt7Xuu+8+d/mpU6fq4MGDysnJUUlJiV544QWtW7dOM2bMcJepqqqS3W6X3W5XVVWVDh06JLvdrv3797vLzJgxQ1u3blVpaam2b9+uu+66S5WVlbr//vub7+QBAGgDTp8+7R53pYuP8dvtdvcrexozlgdDyNxik6SJEyfq+PHjWrBggSoqKjRkyBBt3rxZCQkJkqSKigqPdyIlJSVp8+bNmj59up577jnFxcXpmWee8Xgs8PDhwxo6dKj789KlS7V06VLddNNNKigokCR99dVX+slPfqJjx46pV69eSk1NVVFRkbtdAADgm127dmnUqFHuzzXrde+//36tX7++UWN5MFiMmpVOCKrKykrZbDbd8OeHFdaFtUkAgLpVf+vSB7etkNPpDMq6npoxaW5RuiK6Nv0ptt+mbglaX1tKSN1iAwAAaA4EJAAAABMCEgAAgAkBCQAAwISABAAAYEJAAgAAMCEgAQAAmBCQAAAATAhIAAAAJgQkAAAAEwISAACACQEJAADAhIAEAABgQkACAAAwISABAACYEJAAAABMCEgAAAAmBCQAAAATAhIAAIAJAQkAAMCEgAQAAGBCQAIAADAhIAEAAJgQkAAAAEwISAAAACYEJAAAABMCEgAAgAkBCQAAwISABAAAYEJAAgAAMCEgAQAAmBCQAAAATAhIAAAAJgQkAAAAEwISAACAScgFpOeff15JSUmKiIhQcnKy3n///XrLb926VcnJyYqIiFC/fv20atUqj+/37t2rO++8U4mJibJYLFq+fHlA2gUAALXzZ0wtKCiQxWLx2j799NOg9jGkAtKGDRuUnZ2tOXPmqLi4WCNGjNCYMWNUVlZWa/nS0lKNHTtWI0aMUHFxsWbPnq1p06Zp48aN7jJnzpxRv3799OSTTyomJiYg7QIAgNo1dkzdt2+fKioq3Nt//Md/BLWfFsMwjKC2EEApKSm67rrrtHLlSve+QYMG6fbbb9eiRYu8yj/22GN6++23VVJS4t43depUffjhhyosLPQqn5iYqOzsbGVnZzep3dpUVlbKZrPphj8/rLAuVp/qAADap+pvXfrgthVyOp2KjIwM+PFrxqS5RemK6NqxScc6e/qcfpu6xee++jumFhQUaNSoUTpx4oQuv/zyJvXVHyEzg1RVVaXdu3crPT3dY396erq2bdtWa53CwkKv8qNHj9auXbt07ty5oLULAAC8NWVMHTp0qGJjY3XzzTfrvffeC2Y3JUlhQW8hQI4dO6bz588rOjraY390dLQcDketdRwOR63lq6urdezYMcXGxgalXUlyuVxyuVzuz5WVlQ22BQBAqDKPc1arVVar5x2TxoypsbGxWr16tZKTk+VyufTKK6/o5ptvVkFBgW688cbAnsQlQiYg1bBYLB6fDcPw2tdQ+dr2B7rdRYsWaf78+X61AQBAc3rv6ysVdrppyz6qv3VJ2qL4+HiP/fPmzVNubm6tdfwZUwcMGKABAwa4P6elpam8vFxLly4lIElSVFSUOnTo4JUwjxw54pVEa8TExNRaPiwsTD179gxau5I0a9Ys5eTkuD9XVlZ6/fEAANBWlJeXe6xBMs8eSY0fU81SU1P16quvNr6zPgiZNUjh4eFKTk5Wfn6+x/78/HwNHz681jppaWle5bds2aJhw4apY0ffFqU1pl3p4h9GZGSkxwYAQFtlHvNqC0iNHVPNiouLfVom0xQhM4MkSTk5OcrMzNSwYcOUlpam1atXq6ysTFOnTpV0cdbm0KFDevnllyVdfGJtxYoVysnJUVZWlgoLC7Vu3Tq9/vrr7mNWVVXpk08+cf/70KFDstvt6tq1q6644gqf2gUAAL7xdyxfvny5EhMTddVVV6mqqkqvvvqqNm7c6PHKnmAIqYA0ceJEHT9+XAsWLFBFRYWGDBmizZs3KyEhQZJUUVHh8R6FpKQkbd68WdOnT9dzzz2nuLg4PfPMM7rzzjvdZQ4fPqyhQ4e6Py9dulRLly7VTTfdpIKCAp/aBQAAvvF3LK+qqtKMGTN06NAhderUSVdddZXeeecdjR07Nqj9DKn3IIUy3oMEAPBVc70HKRBjUrD72lJCZg0SAABAcyEgAQAAmITUGqS2oOxwlC7rFOG1P7HP0RboDQAAqA0BqZU48FUv978JSwAAtCxusbVCB77q5RGYAABA8yIgtWIEJQAAWgYBKQQQlAAAaF4EpBBCUAIAoHkQkEIQQQkAgOAiIIUwQhIAAMFBQApxhCQAAAKPgNQGEJIAAAgsAlIbQUgCACBwCEhtCCEJAIDAICC1MYQkAACajoDUBhGSAABoGgISAACACQGpjWIWCQCAxiMgtWGEJAAAGoeABAAAYEJAauOYRQIAwH8EpHaAkAQAgH8ISAAAACYEpHaCWSQAAHxHQAIAADAhIAEAAJgQkNoRbrMBAOAbAhIAAIAJAQkAAMCEgNTOcJsNAICGEZAAAABMCEgAAAAmBCQAAAATAlI7xDokAADqR0ACAAAwCbmA9PzzzyspKUkRERFKTk7W+++/X2/5rVu3Kjk5WREREerXr59WrVrlVWbjxo0aPHiwrFarBg8erE2bNnl8n5ubK4vF4rHFxMQE9LwAAGgvgjGWB1pIBaQNGzYoOztbc+bMUXFxsUaMGKExY8aorKys1vKlpaUaO3asRowYoeLiYs2ePVvTpk3Txo0b3WUKCws1ceJEZWZm6sMPP1RmZqbuuecebd++3eNYV111lSoqKtzbnj17gnquAAC0RcEYy4PBYhiGEdQWAiglJUXXXXedVq5c6d43aNAg3X777Vq0aJFX+ccee0xvv/22SkpK3PumTp2qDz/8UIWFhZKkiRMnqrKyUn/729/cZTIyMtS9e3e9/vrrki7OIL311luy2+2N7ntlZaVsNpviV+bqsk4RjT5OoCT2OdrSXQAA1KH6W5c+uG2FnE6nIiMjA378mjHphj8/rLAu1iYdy9++BmMsD4aQmUGqqqrS7t27lZ6e7rE/PT1d27Ztq7VOYWGhV/nRo0dr165dOnfuXL1lzMf8/PPPFRcXp6SkJN1777368ssvm3pKAAC0K8Eay4MhZALSsWPHdP78eUVHR3vsj46OlsPhqLWOw+GotXx1dbWOHTtWb5lLj5mSkqKXX35Z//u//6s1a9bI4XBo+PDhOn78eJ39dblcqqys9NgAAGirzGOey+XyKhOssTwYwoJ25CCxWCwenw3D8NrXUHnz/oaOOWbMGPe/r776aqWlpal///566aWXlJOTU2u7ixYt0vz58xs4GwAAWk7Z4agmL/u48N1ZSVJ8fLzH/nnz5ik3N7fWOsEYywMtZAJSVFSUOnTo4JUwjxw54pUsa8TExNRaPiwsTD179qy3TF3HlKQuXbro6quv1ueff15nmVmzZnmEp8rKSq8/nvbu0vcxsSYKAEJbeXm5xxokq9V7bVOwxvJgCJlbbOHh4UpOTlZ+fr7H/vz8fA0fPrzWOmlpaV7lt2zZomHDhqljx471lqnrmNLF22clJSWKjY2ts4zValVkZKTHhosOfNXL62WVte0DAIQO85hXW0AK1lgeDCETkCQpJydHa9eu1QsvvKCSkhJNnz5dZWVlmjp1qqSLszb33Xefu/zUqVN18OBB5eTkqKSkRC+88ILWrVunGTNmuMs88sgj2rJlixYvXqxPP/1Uixcv1rvvvqvs7Gx3mRkzZmjr1q0qLS3V9u3bddddd6myslL333+/3+cQXh7e+AsQ4nwJQQQlAGjbgjGWB0PI3GKTLj6Sf/z4cS1YsEAVFRUaMmSINm/erISEBElSRUWFx3sUkpKStHnzZk2fPl3PPfec4uLi9Mwzz+jOO+90lxk+fLjeeOMNzZ07V48//rj69++vDRs2KCUlxV3mq6++0k9+8hMdO3ZMvXr1UmpqqoqKitzt+sta5h2SXH2rGnWsUOFv6Kkpz603AGhbgjGWB0NIvQcplNW8c6L/7IXqEFH/grjmCEvNHTyaMitESALQ3jTXe5AC8W6+C9+dVfkvcoPW15YSUjNI7UXNDFNbmVVq6i2zUJ5NujXm03q/z3cMbKaeAAD8QUBqxYIVlJozaLS39UQNBaKGyhOYAKB1ICCFAGtZeJuZTWqKA1/1arWzSP4Go4aOQ1ACgJZFQAoRoRiSgjF71NpCUqCCUV3HJSgBQMsIqcf827vann5DywlWOGruNgAA3ghIIYaQ1DrWNTVncLk15lOCEgA0MwJSCCIktWxIaqmwQkgCgOZDQAJ81Bpmclq6fQBoLwhIIaq1zyI1xwxPc84itaZg0pr6AgBtFQEphLX2kITgISQBQHARkEKcvyGpNT0iHypaaxhprf0CgLaAgISQFuzbbK09hLT2/gFAqCIgNbNu5Ya6HfTemoJbbcERKuEjVPoJAKGEgNRKBCostUfBmEUKtdARav0FgNaOgNQKNSYoMYsEAEDgEJBaMWaTfBfIWaRQnY0J1X4DQGtEQGrl/JlNYhYJhCQACAwCUohgNql5EDAAABIBKaQ0NSTxDqT2gZAHAE1HQAoxzTWT1Bp+d8xfTV2HFGrnCwAInrCW7gD81+2goVMJllq/s5aFy9W3qtHHNocE8+d8x8BGHxvN59aYT/nfCgCagBmkEBWMmaT2PIPSns8dAOCNGaRmFlnqUliY9+yPs7+1BXrzb74GhGDMTNT19F1TZsLALBIANAUzSK2E7QuXx+aLlnqyLVCzLday8HpfTcBrCwAALYWA1Er5E5TM/A0Wrfn2kr/n0piF2q35/AEALYOA1Mo1FJJCdRbJn+DDTFLjEf4AoHEISCGgsTNJvgiVAZSQBABoTgSkEFFfSAq1WSTCDgCgtSMghZBgziQBAIB/IyC1Ub7M0rTE7bWmzB4FY+YpVG4xNkV7OEcACDQCUoipaxaJH7MFACBwCEghqDXdamvu2QnWLwEAmgMBqZ1qKNjcFfl/dVfk/w1om80Vbpr6o7UAAPBTIy0o/NOvvPZVDezjU13bFy6/fp4ksc9Rn8teGoxq/v2nyut8ro/Wh58dAQD/EJCaWfhnhxV2Wd0zKZeGJl/DUiDVNWt0V+T/bTUhyVoWzu+0AQCCiltsrVhtM0z1CfZC7UDfcmtpPN0FAKhLyAWk559/XklJSYqIiFBycrLef//9estv3bpVycnJioiIUL9+/bRq1SqvMhs3btTgwYNltVo1ePBgbdq0qcntNofWtFgbAIBAO3HihDIzM2Wz2WSz2ZSZmamTJ0/WW2fy5MmyWCweW2pqqt9t+xWQbr75Zr355pt1fn/s2DH169fP7074asOGDcrOztacOXNUXFysESNGaMyYMSorK6u1fGlpqcaOHasRI0aouLhYs2fP1rRp07Rx40Z3mcLCQk2cOFGZmZn68MMPlZmZqXvuuUfbt29vdLsAAKDpJk2aJLvdrry8POXl5clutyszM7PBehkZGaqoqHBvmzdv9rttvwLSe++9p3vuuUfz5s2r9fvz58/r4MGDfnfCV08//bSmTJmiBx54QIMGDdLy5csVHx+vlStX1lp+1apV6tu3r5YvX65BgwbpgQce0M9//nMtXbrUXWb58uW69dZbNWvWLA0cOFCzZs3SzTffrOXLlze6XQAA0DQlJSXKy8vT2rVrlZaWprS0NK1Zs0Z//etftW/fvnrrWq1WxcTEuLcePXr43b7ft9hWrlyp//7v/9aPf/xjnT592u8GG6uqqkq7d+9Wenq6x/709HRt27at1jqFhYVe5UePHq1du3bp3Llz9ZapOWZj2pUkl8ulyspKjw0AgLbKPOa5XE1bBlJYWCibzaaUlBT3vtTUVNlstnrHX0kqKChQ7969deWVVyorK0tHjhzxu32/A9Jtt92mwsJCffLJJ0pLS9OXX37pd6ONcezYMZ0/f17R0dEe+6Ojo+VwOGqt43A4ai1fXV2tY8eO1Vum5piNaVeSFi1a5L5narPZFB8f79uJAgDQTMLLw2Uta9oWXn7xyez4+HiPcW/RokVN6pvD4VDv3r299vfu3bve8XfMmDF67bXX9I9//ENPPfWUdu7cqR/+8Id+B7ZGLdIeNGiQduzYofj4eP3gBz/Qu+++25jDNIrFYvH4bBiG176Gypv3+3JMf9udNWuWnE6neysvL6+zLAAAoa68vNxj3Js1a1at5XJzc70WUZu3Xbt2SfIee6WGx9+JEyfqRz/6kYYMGaLx48frb3/7mz777DO98847fp1Po9+DZLPZ9M4772jWrFkaO3asFi9erEmTJjX2cA2KiopShw4dvFLjkSNHvGZ3asTExNRaPiwsTD179qy3TM0xG9OudPH+p9Xq+4scAQAIZZGRkYqMjGyw3MMPP6x777233jKJiYn66KOP9PXXX3t9d/To0XrHX7PY2FglJCTo888/97mO5GdAqm1W5cknn9TQoUM1ZcoU/eMf//CrcX+Eh4crOTlZ+fn5+vGPf+zen5+fr9tuu63WOmlpafrLX/7isW/Lli0aNmyYOnbs6C6Tn5+v6dOne5QZPnx4o9sFAAC1i4qKUlRUVIPl0tLS5HQ6tWPHDl1//fWSpO3bt8vpdLrHaF8cP35c5eXlio2N9aufft1iq7k9ZTZx4kT961//0p49e/xq3F85OTlau3atXnjhBZWUlGj69OkqKyvT1KlTJV28rXXfffe5y0+dOlUHDx5UTk6OSkpK9MILL2jdunWaMWOGu8wjjzyiLVu2aPHixfr000+1ePFivfvuu8rOzva53Zbiz0+NAAAQSgYNGqSMjAxlZWWpqKhIRUVFysrK0rhx4zRgwAB3uYEDB7rfX3j69GnNmDFDhYWFOnDggAoKCjR+/HhFRUV5THL4wq8ZpPfee6/OR+WuvfZa7d692+97fP6YOHGijh8/rgULFqiiokJDhgzR5s2blZCQIEmqqKjweDdRUlKSNm/erOnTp+u5555TXFycnnnmGd15553uMsOHD9cbb7yhuXPn6vHHH1f//v21YcMGj1XzDbUbLP7+1MiphLrvyQZCa/mpkUDJdwzkbdoA0Iq99tprmjZtmvtJ8gkTJmjFihUeZfbt2yen0ylJ6tChg/bs2aOXX35ZJ0+eVGxsrEaNGqUNGzaoW7dufrVtMeqaFkJAVVZWymaz6cb/82uFhUW495t/TsSfUGSeQTIHpEt/r8z8Y7X1BYPaflKkvnBU24+gHviql9c+a1ndv0HnD19+h83XH+dtTwGJH6sFQkf1ty59cNsKOZ1On9b1+KtmTOo/e6E6REQ0XKEe58+e1RcLZwetry2FH6ttYY39QVp/b68d+KqXz6HhT5XXuUNSW5s1aq8IRwDgn5D7LTYERkMD5p8qrwt4OPJl5icQfA2CAADUhYAUglrT4uzmnplorpAFAGjfCEghpq5wFOwF2gAAtCcEpDbKl5mWlliX0pQZoGDMHrWHtTnt4RwBINAISCGkNd1aAwCgLSMghYj6wlFL3V5r7MwE64gAAK0dASkEBHPmKFRuvxCqAADNiYDUijn7WxsMR6E2e1TDn8AT7HAUKiGxMdryuQFAMBGQWiFfglF9/A0ULTWI+tJPf8+FdyABAAKBN2m3Ao0NQ6E6e3SpmgBk/hkSbqk1HbNHANB4BKRmVplkVYfw1vc0mq8/3BqsQZdABABoTbjFFqKCMXuU7xhYbwBqyzMSbe3c2tr5AEBzYwYpBNUXjgIxE3PpbFIoDbSsPwIABAozSCGmudYdNTSb1Ba1lfNtK+cBAC2JgBRCmhqODnzVK0A9AQCgbSMghYBTCRZ+jLaZhPrsS6j3HwBaCwJSK+dPMOJJsMAgZAAACEitGLNGvmOBNsEOAAKJp9hamcaGImaP2jfCEQAEFjNIrUDNGiNmjBonGLNHBA4AaN+YQWpmp+It6hAR2CDE7FFw+Pp28ZZGmAOAwGMGKcS193AU7LVHrT18tPb+AUCoIiC1M7wLyX+tNYS01n4BQFtAQAph7X32qD0jHAFAcBGQQlRrD0fN8dh9cz7a35p+eqW19AMA2jICUghq7eGoLWvpcNLS7QNAe0FAQkhqyRdDtlRIIRwBQPMhIIUYZo9ax1uzmzOstKbbewDQXhCQQgjhqHVpjuBCMAKAlkFAChGhGI6CMdPTGmaPzIIRYpg1AoCWxZu0W7lQDEaXSuxzNGDvXmqN4ajGpWGmKW/fJhQBQOtAQGrFghWODnzVq1WHjdqEUn/NIae+wEQgAoDWiYDUyoT6jFFtmjqLFErhqDaEIAAIPQSkVqItBqOmCvVgBAAIXSGzSPvEiRPKzMyUzWaTzWZTZmamTp48WW8dwzCUm5uruLg4derUSSNHjtTevXs9yrhcLv3qV79SVFSUunTpogkTJuirr77yKJOYmCiLxeKxzZw5s1HnURVfJVdf762t8zfsEI4AAE888YSGDx+uzp076/LLL/epji9jvy9CJiBNmjRJdrtdeXl5ysvLk91uV2ZmZr11lixZoqefflorVqzQzp07FRMTo1tvvVWnTp1yl8nOztamTZv0xhtv6F//+pdOnz6tcePG6fz58x7HWrBggSoqKtzb3Llzg3KebVlin6MNBh9fygAA2oeqqirdfffd+sUvfuFzHV/Gfl+ExC22kpIS5eXlqaioSCkpKZKkNWvWKC0tTfv27dOAAQO86hiGoeXLl2vOnDm64447JEkvvfSSoqOj9Yc//EEPPvignE6n1q1bp1deeUW33HKLJOnVV19VfHy83n33XY0ePdp9vG7duikmJqYZzrbtqwlAobhYHADQfObPny9JWr9+vU/lfRn7fRUSM0iFhYWy2WzucCRJqampstls2rZtW611SktL5XA4lJ6e7t5ntVp10003uevs3r1b586d8ygTFxenIUOGeB138eLF6tmzp6699lo98cQTqqqq/7aYy+VSZWWlxwZPhCMAaDvMY57L5Wr2Pvgy9vsqJGaQHA6Hevfu7bW/d+/ecjgcddaRpOjoaI/90dHROnjwoLtMeHi4unfv7lXm0uM+8sgjuu6669S9e3ft2LFDs2bNUmlpqdauXVtnnxctWuROvgAAtEbdyg11CDeadIzzVRfrx8fHe+yfN2+ecnNzm3Rsf/ky9vuqRWeQcnNzvRY/m7ddu3ZJkiwWi1d9wzBq3X8p8/e+1DGXmT59um666SZdc801euCBB7Rq1SqtW7dOx48fr/MYs2bNktPpdG/l5eX1tgkAQCgrLy/3GPdmzZpVazl/xv7GaszYb9aiM0gPP/yw7r333nrLJCYm6qOPPtLXX3/t9d3Ro0e9UmKNmvVCDodDsbGx7v1Hjhxx14mJiVFVVZVOnDjhMYt05MgRDR8+vM4+paamSpL279+vnj171lrGarXKarXWe24AALQVkZGRioyMbLCcr2N/Y/gy9vuqRQNSVFSUoqKiGiyXlpYmp9OpHTt26Prrr5ckbd++XU6ns84gk5SUpJiYGOXn52vo0KGSLq6G37p1qxYvXixJSk5OVseOHZWfn6977rlHklRRUaGPP/5YS5YsqbM/xcXFkuRx8QEAQMN8Hfsbw5ex31chsUh70KBBysjIUFZWloqKilRUVKSsrCyNGzfO4wm2gQMHatOmTZIuTq9lZ2dr4cKF2rRpkz7++GNNnjxZnTt31qRJkyRJNptNU6ZM0X/913/p73//u4qLi/XTn/5UV199tfuptsLCQi1btkx2u12lpaX64x//qAcffFATJkxQ3759m/9iAADQTpSVlclut6usrEznz5+X3W6X3W7X6dOn3WX8Hft9FRKLtCXptdde07Rp09wr0ydMmKAVK1Z4lNm3b5+cTqf786OPPqrvvvtODz30kE6cOKGUlBRt2bJF3bp1c5dZtmyZwsLCdM899+i7777TzTffrPXr16tDhw6SLt4q27Bhg+bPny+Xy6WEhARlZWXp0UcfbYazBgCg/fr1r3+tl156yf25Zlbovffe08iRIyU1buz3hcUwjKYtX4dPKisrZbPZFL8yV5d1imjp7vCIPQC0YtXfuvTBbSvkdDp9Wtfjr5ox6drMJ9QhvGlj0vmqs7K/MidofW0pIXGLDYFFOAIAoH4EJAAAABMCEgAAgAkBCQAAwISA1M6w/ggAgIYRkAAAAEwISAAAACYEpHaE22sAAPiGgAQAAGBCQAIAADAhILUT3F4DAMB3BKR2gHAEAIB/CEgAAAAmBKQ2jtkjAAD8R0ACAAAwISC1YcweAQDQOASkNopwBABA4xGQ2iDCEQAATUNAAgAAMCEgtTHMHgEA0HQEpDaEcAQAQGAQkNoIwhEAAIFDQGoDCEcAAAQWASnEEY4AAAi8sJbuABqHYAQAQPAwgxSCCEcAAAQXM0ghhGAEAEDzICCFAIIRAADNi4DUihGMAABoGQSkVohgBABAyyIgtRKEIgAAWg8CUjPrG3dMYV2sLd0NAABQDx7zBwAAMCEgAQAAmBCQAAAATEImIJ04cUKZmZmy2Wyy2WzKzMzUyZMn661jGIZyc3MVFxenTp06aeTIkdq7d69HmdWrV2vkyJGKjIyUxWKp9ZiNaRsAADTNE088oeHDh6tz5866/PLLfaozefJkWSwWjy01NdXvtkMmIE2aNEl2u115eXnKy8uT3W5XZmZmvXWWLFmip59+WitWrNDOnTsVExOjW2+9VadOnXKXOXPmjDIyMjR79uyAtg0AAJqmqqpKd999t37xi1/4VS8jI0MVFRXubfPmzX63HRJPsZWUlCgvL09FRUVKSUmRJK1Zs0ZpaWnat2+fBgwY4FXHMAwtX75cc+bM0R133CFJeumllxQdHa0//OEPevDBByVJ2dnZkqSCgoKAtQ0AAJpu/vz5kqT169f7Vc9qtSomJqZJbYfEDFJhYaFsNps7oEhSamqqbDabtm3bVmud0tJSORwOpaenu/dZrVbddNNNddYJVNuS5HK5VFlZ6bEBANBWmcc8l8vVYn0pKChQ7969deWVVyorK0tHjhzx+xghMYPkcDjUu3dvr/29e/eWw+Gos44kRUdHe+yPjo7WwYMHg9q2JC1atMidfAEAaI0iS10KC7M06RjV1ReDUHx8vMf+efPmKTc3t0nHbowxY8bo7rvvVkJCgkpLS/X444/rhz/8oXbv3i2r1ff3ELboDFJubq7XQirztmvXLkmSxeL9P6BhGLXuv5T5e1/qNHQMX44za9YsOZ1O91ZeXu5XmwAAhJLy8nKPcW/WrFm1lvNn7G+MiRMn6kc/+pGGDBmi8ePH629/+5s+++wzvfPOO34dp0VnkB5++GHde++99ZZJTEzURx99pK+//trru6NHj3rNENWouffocDgUGxvr3n/kyJE669R1HH/bli7ezvMnqQIAEMoiIyMVGRnZYDlfx/5AiY2NVUJCgj7//HO/6rVoQIqKilJUVFSD5dLS0uR0OrVjxw5df/31kqTt27fL6XRq+PDhtdZJSkpSTEyM8vPzNXToUEkXV8Nv3bpVixcv9rmPjWkbAADUztexP1COHz+u8vJyj8kSX4TEIu1BgwYpIyNDWVlZKioqUlFRkbKysjRu3DiPp8gGDhyoTZs2Sbp4Wyw7O1sLFy7Upk2b9PHHH2vy5Mnq3LmzJk2a5K7jcDhkt9u1f/9+SdKePXtkt9v1zTff+NU2AAAIrLKyMtntdpWVlen8+fOy2+2y2+06ffq0u8ylY//p06c1Y8YMFRYW6sCBAyooKND48eMVFRWlH//4x361HRKLtCXptdde07Rp09xPpU2YMEErVqzwKLNv3z45nU7350cffVTfffedHnroIZ04cUIpKSnasmWLunXr5i6zatUqj8XUN954oyTpxRdf1OTJk31uGwAABNavf/1rvfTSS+7PNXeE3nvvPY0cOVKS59jfoUMH7dmzRy+//LJOnjyp2NhYjRo1Shs2bPAY+31hMQzDCMxpoD6VlZWy2Wy64c8PK6wLa5MAAHWr/talD25bIafT6dO6Hn/VjEk3/p9fKywsoknHqq4+q3/+a0HQ+tpSQuIWGwAAQHMiIAEAAJgQkAAAAEwISAAAACYEJAAAABMCEgAAgAkBCQAAwISABAAAYEJAAgAAMCEgAQAAmBCQAAAATAhIAAAAJgQkAAAAEwISAACACQEJAADAhIAEAABgQkACAAAwISABAACYEJAAAABMCEgAAAAmBCQAAAATAhIAAIAJAQkAAMCEgAQAAGBCQAIAADAhIAEAAJgQkAAAAEwISAAAACYEJAAAABMCEgAAgAkBCQAAwISABAAAYEJAAgAAMCEgAQAAmBCQAAAATEImIJ04cUKZmZmy2Wyy2WzKzMzUyZMn661jGIZyc3MVFxenTp06aeTIkdq7d69HmdWrV2vkyJGKjIyUxWKp9ZiJiYmyWCwe28yZMwN4dgAA4FIHDhzQlClTlJSUpE6dOql///6aN2+eqqqq6q3ny9jvi5AJSJMmTZLdbldeXp7y8vJkt9uVmZlZb50lS5bo6aef1ooVK7Rz507FxMTo1ltv1alTp9xlzpw5o4yMDM2ePbveYy1YsEAVFRXube7cuQE5LwAA4O3TTz/VhQsX9Pvf/1579+7VsmXLtGrVqgbHa1/Gfl+ENaXzzaWkpER5eXkqKipSSkqKJGnNmjVKS0vTvn37NGDAAK86hmFo+fLlmjNnju644w5J0ksvvaTo6Gj94Q9/0IMPPihJys7OliQVFBTU24du3bopJiYmcCcFAADqlJGRoYyMDPfnfv36ad++fVq5cqWWLl1aax1fx35fhMQMUmFhoWw2mzscSVJqaqpsNpu2bdtWa53S0lI5HA6lp6e791mtVt1000111qnP4sWL1bNnT1177bV64oknGpziAwAAgeV0OtWjR486vw/k2B8SM0gOh0O9e/f22t+7d285HI4660hSdHS0x/7o6GgdPHjQr/YfeeQRXXfdderevbt27NihWbNmqbS0VGvXrq2zjsvlksvlcn+urKz0q00AAEKJeZyzWq2yWq0BO/4XX3yhZ599Vk899VSdZQI59rdoQMrNzdX8+fPrLbNz505JksVi8frOMIxa91/K/L0vdcymT5/u/vc111yj7t2766677nLPKtVm0aJFDZ4bAAAtKfyzwwq7LLxJx7jswsU7KvHx8R77582bp9zcXK/yvo79w4YNc38+fPiwMjIydPfdd+uBBx5osE+BGPtbNCA9/PDDuvfee+stk5iYqI8++khff/2113dHjx71Sok1atYLORwOxcbGuvcfOXKkzjq+Sk1NlSTt37+/zoA0a9Ys5eTkuD9XVlZ6/fEAANBWlJeXKzIy0v25rtkjX8f+GocPH9aoUaOUlpam1atX11svkGN/iwakqKgoRUVFNVguLS1NTqdTO3bs0PXXXy9J2r59u5xOp4YPH15rnaSkJMXExCg/P19Dhw6VJFVVVWnr1q1avHhxk/pdXFwsSR4X3yzQU4sAALRmkZGRHgGpLr6O/ZJ06NAhjRo1SsnJyXrxxRd12WX1L50O5NgfEou0Bw0apIyMDGVlZamoqEhFRUXKysrSuHHjPJ5gGzhwoDZt2iTp4vRadna2Fi5cqE2bNunjjz/W5MmT1blzZ02aNMldx+FwyG63a//+/ZKkPXv2yG6365tvvpF0cYH4smXLZLfbVVpaqj/+8Y968MEHNWHCBPXt27cZrwIAAO3H4cOHNXLkSMXHx2vp0qU6evSoHA6H19rjxoz9vgiJRdqS9Nprr2natGnulekTJkzQihUrPMrs27dPTqfT/fnRRx/Vd999p4ceekgnTpxQSkqKtmzZom7durnLrFq1yuNe6I033ihJevHFFzV58mRZrVZt2LBB8+fPl8vlUkJCgrKysvToo48G83QBAGjXtmzZov3792v//v3q06ePx3eGYbj/3Zix3xcW49JWEDSVlZWy2Wy64c8PK6wLt94AAHWr/talD25bIafT6dNtK3/VjEm39H6gyYu0qy9U6d0ja4PW15YSErfYAAAAmhMBCQAAwISABAAAYEJAAgAAMCEgAQAAmBCQAAAATAhIAAAAJgQkAAAAEwISAACACQEJAADAhIAEAABgQkACAAAwISABAACYEJAAAABMCEgAAAAmBCQAAAATAhIAAIAJAQkAAMCEgAQAAGBCQAIAADAhIAEAAJgQkAAAAEwISAAAACYEJAAAABMCEgAAgAkBCQAAwISABAAAYEJAAgAAMCEgAQAAmBCQAAAATAhIAAAAJgQkAAAAEwISAACACQEJAADAhIAEAABgEjIB6cSJE8rMzJTNZpPNZlNmZqZOnjxZbx3DMJSbm6u4uDh16tRJI0eO1N69e93ff/PNN/rVr36lAQMGqHPnzurbt6+mTZsmp9PZ5LYBAEDjHThwQFOmTFFSUpI6deqk/v37a968eaqqqqq33uTJk2WxWDy21NRUv9sPmYA0adIk2e125eXlKS8vT3a7XZmZmfXWWbJkiZ5++mmtWLFCO3fuVExMjG699VadOnVKknT48GEdPnxYS5cu1Z49e7R+/Xrl5eVpypQpTW4bAAA03qeffqoLFy7o97//vfbu3atly5Zp1apVmj17doN1MzIyVFFR4d42b97sd/sWwzCMxnS8OZWUlGjw4MEqKipSSkqKJKmoqEhpaWn69NNPNWDAAK86hmEoLi5O2dnZeuyxxyRJLpdL0dHRWrx4sR588MFa2/qf//kf/fSnP9W3336rsLCwRrVdm8rKStlsNt3w54cV1sXamMsAAGgnqr916YPbVsjpdCoyMjLgx68Zk27p/YDCLgtv0rGqL1Tp3SNrg9bXS/3ud7/TypUr9eWXX9ZZZvLkyTp58qTeeuutJrUVEjNIhYWFstls7oAiSampqbLZbNq2bVutdUpLS+VwOJSenu7eZ7VaddNNN9VZR5L7f+CwsLBGtw0AAALP6XSqR48eDZYrKChQ7969deWVVyorK0tHjhzxu62wxnSwuTkcDvXu3dtrf+/eveVwOOqsI0nR0dEe+6Ojo3Xw4MFa6xw/fly/+c1vPGaXGtO2dHG2yuVyuT/XrGuqPlP/vVMAAGrGimDf5Kk2qqQLATiGLs5KXcpqtcpqDdwdky+++ELPPvusnnrqqXrLjRkzRnfffbcSEhJUWlqqxx9/XD/84Q+1e/du//pjtKB58+YZkurddu7caTzxxBPGlVde6VX/iiuuMBYtWlTrsT/44ANDknH48GGP/Q888IAxevRor/JOp9NISUkxMjIyjKqqKvf+xrTt67mxsbGxsbHVt33xxRd1jjNN8d133xkxMTEB62fXrl299s2bN6/R4+POnTs96hw6dMi44oorjClTpvh9rocPHzY6duxobNy40a96LTqD9PDDD+vee++tt0xiYqI++ugjff31117fHT161GuGqEZMTIykizNAsbGx7v1HjhzxqnPq1CllZGSoa9eu2rRpkzp27OhxHH/blqRZs2YpJyfH/fnkyZNKSEhQWVmZbDZbnfXausrKSsXHx6u8vDzo96pbM67DRVyHi7gOF3Ed/s3pdKpv374+3U5qjIiICJWWljb4RJivDMOQxWLx2FfXbI2vY3+Nw4cPa9SoUUpLS9Pq1av97ltsbKwSEhL0+eef+1WvRQNSVFSUoqKiGiyXlpYmp9OpHTt26Prrr5ckbd++XU6nU8OHD6+1TlJSkmJiYpSfn6+hQ4dKkqqqqrR161YtXrzYXa6yslKjR4+W1WrV22+/rYiIiCa3LdU9tWiz2dr9//ElKTIykusgrkMNrsNFXIeLuA7/dtllwVsqHBER4TXmNQdfx35JOnTokEaNGqXk5GS9+OKLjboex48fV3l5ucdkiS9CYpH2oEGDlJGRoaysLBUVFamoqEhZWVkaN26cx1NkAwcO1KZNmyRJFotF2dnZWrhwoTZt2qSPP/5YkydPVufOnTVp0iRJF2eO0tPT9e2332rdunWqrKyUw+GQw+HQ+fPn/WobAAAEzuHDhzVy5EjFx8dr6dKlOnr0qHuMvtSlY//p06c1Y8YMFRYW6sCBAyooKND48eMVFRWlH//4x361HxKLtCXptdde07Rp09xPpU2YMEErVqzwKLNv3z6Plzw++uij+u677/TQQw/pxIkTSklJ0ZYtW9StWzdJ0u7du7V9+3ZJ0hVXXOFxrNLSUvcUny9tAwCAwNmyZYv279+v/fv3q0+fPh7fGZcsXr907O/QoYP27Nmjl19+WSdPnlRsbKxGjRqlDRs2uMd+n/m92gmNcvbsWWPevHnG2bNnW7orLYrrcBHX4SKuw0Vch4u4Dv/GtWh5IfGiSAAAgOYUEmuQAAAAmhMBCQAAwISABAAAYEJAAgAAMCEgNdLzzz+vpKQkRUREKDk5We+//3695bdu3ark5GRFRESoX79+WrVqlVeZjRs3avDgwbJarRo8eLD7vQ6tWaCvw969e3XnnXcqMTFRFotFy5cvD2LvAyfQ12HNmjUaMWKEunfvru7du+uWW27Rjh07gnkKARPoa/Hmm29q2LBhuvzyy9WlSxdde+21euWVV4J5CgERjP9G1HjjjTdksVh0++23B7jXgRfo67B+/XpZLBav7ezZs8E8jSYLxt/DyZMn9ctf/lKxsbGKiIjQoEGDtHnz5mCdQvvT0o/RhaI33njD6Nixo7FmzRrjk08+MR555BGjS5cuxsGDB2st/+WXXxqdO3c2HnnkEeOTTz4x1qxZY3Ts2NH405/+5C6zbds2o0OHDsbChQuNkpISY+HChUZYWJhRVFTUXKflt2Bchx07dhgzZswwXn/9dSMmJsZYtmxZM51N4wXjOkyaNMl47rnnjOLiYqOkpMT42c9+ZthsNuOrr75qrtNqlGBci/fee8948803jU8++cTYv3+/sXz5cqNDhw5GXl5ec52W34JxHWocOHDA+N73vmeMGDHCuO2224J8Jk0TjOvw4osvGpGRkUZFRYXH1poF4zq4XC5j2LBhxtixY41//etfxoEDB4z333/fsNvtzXVabR4BqRGuv/56Y+rUqR77Bg4caMycObPW8o8++qgxcOBAj30PPvigkZqa6v58zz33GBkZGR5lRo8ebdx7770B6nXgBeM6XCohISEkAlKwr4NhGEZ1dbXRrVs346WXXmp6h4OoOa6FYRjG0KFDjblz5zats0EUrOtQXV1t3HDDDcbatWuN+++/v9UHpGBchxdffNGw2WwB72swBeM6rFy50ujXr5/Hj6sjsLjF5qeqqirt3r3b/VbtGunp6dq2bVutdQoLC73Kjx49Wrt27dK5c+fqLVPXMVtasK5DqGmu63DmzBmdO3cuaD9cGQjNcS0Mw9Df//537du3TzfeeGPgOh9AwbwOCxYsUK9evTRlypTAdzzAgnkdTp8+rYSEBPXp00fjxo1TcXFx4E8gQIJ1Hd5++22lpaXpl7/8paKjozVkyBAtXLjQ/TNZaDoCkp+OHTum8+fPKzo62mN/dHS01+/D1HA4HLWWr66u1rFjx+otU9cxW1qwrkOoaa7rMHPmTH3ve9/TLbfcEpiOB0Ewr4XT6VTXrl0VHh6uH/3oR3r22Wd16623Bv4kAiBY1+GDDz7QunXrtGbNmuB0PMCCdR0GDhyo9evX6+2339brr7+uiIgI3XDDDX7/UntzCdZ1+PLLL/WnP/1J58+f1+bNmzV37lw99dRTeuKJJ4JzIu1QyPwWW2tjsVg8PhuG4bWvofLm/f4eszUIxnUIRcG8DkuWLNHrr7+ugoKCFvnlbX8F41p069ZNdrtdp0+f1t///nfl5OSoX79+GjlyZOA6HmCBvA6nTp3ST3/6U61Zs8bnX0FvLQL995CamqrU1FT39zfccIOuu+46Pfvss3rmmWcC1e2AC/R1uHDhgnr37q3Vq1erQ4cOSk5O1uHDh/W73/1Ov/71rwPc+/aJgOSnqKgodejQwSv5HzlyxCvx14iJiam1fFhYmHr27FlvmbqO2dKCdR1CTbCvw9KlS7Vw4UK9++67uuaaawLb+QAL5rW47LLL3D8ofe2116qkpESLFi1qlQEpGNdh7969OnDggMaPH+/+/sKFC5KksLAw7du3T/379w/wmTRNc/034rLLLtMPfvCDVjuDFKzrEBsbq44dO6pDhw7uMoMGDZLD4VBVVZXCw8MDfCbtD7fY/BQeHq7k5GTl5+d77M/Pz9fw4cNrrZOWluZVfsuWLRo2bJg6duxYb5m6jtnSgnUdQk0wr8Pvfvc7/eY3v1FeXp6GDRsW+M4HWHP+TRiGIZfL1fROB0EwrsPAgQO1Z88e2e129zZhwgSNGjVKdrtd8fHxQTufxmquvwfDMGS32xUbGxuYjgdYsK7DDTfcoP3797uDsiR99tlnio2NJRwFSnOvCm8Lah7ZXLdunfHJJ58Y2dnZRpcuXYwDBw4YhmEYM2fONDIzM93lax7ZnD59uvHJJ58Y69at83pk84MPPjA6dOhgPPnkk0ZJSYnx5JNPhsxj/oG8Di6XyyguLjaKi4uN2NhYY8aMGUZxcbHx+eefN/v5+SoY12Hx4sVGeHi48ac//cnjUeZTp041+/n5IxjXYuHChcaWLVuML774wigpKTGeeuopIywszFizZk2zn5+vgnEdzELhKbZgXIfc3FwjLy/P+OKLL4zi4mLjZz/7mREWFmZs37692c/PV8G4DmVlZUbXrl2Nhx9+2Ni3b5/x17/+1ejdu7fx29/+ttnPr60iIDXSc889ZyQkJBjh4eHGddddZ2zdutX93f3332/cdNNNHuULCgqMoUOHGuHh4UZiYqKxcuVKr2P+z//8jzFgwACjY8eOxsCBA42NGzcG+zSaLNDXobS01JDktZmP09oE+jokJCTUeh3mzZvXDGfTNIG+FnPmzDGuuOIKIyIiwujevbuRlpZmvPHGG81xKk0SjP9GXCoUApJhBP46ZGdnG3379jXCw8ONXr16Genp6ca2bdua41SaJBh/D9u2bTNSUlIMq9Vq9OvXz3jiiSeM6urqYJ9Ku2ExjP+/8gsAAACSWIMEAADghYAEAABgQkACAAAwISABAACYEJAAAABMCEgAAAAmBCQAAAATAhIAAIAJAQlAs5s8ebIsFossFovCwsLUt29f/eIXv9CJEydaumsAIImABKCFZGRkqKKiQgcOHNDatWv1l7/8RQ899FBLdwsAJElhLd0BAO2T1WpVTEyMJKlPnz6aOHGi1q9f37KdAoD/jxkkAC3uyy+/VF5enjp27NjSXQEAScwgAWghf/3rX9W1a1edP39eZ8+elSQ9/fTTLdwrALiIgASgRYwaNUorV67UmTNntHbtWn322Wf61a9+1dLdAgBJ3GID0EK6dOmiK664Qtdcc42eeeYZuVwuzZ8/v6W7BQCSCEgAWol58+Zp6dKlOnz4cEt3BQAISABah5EjR+qqq67SwoULW7orAEBAAtB65OTkaM2aNSovL2/prgBo5yyGYRgt3QkAAIDWhBkkAAAAEwISAACACQEJAADAhIAEAABgQkACAAAwISABAACYEJAAAABMCEgAAAAmBCQAAAATAhIAAIAJAQkAAMCEgAQAAGDy/wCDCvSnAjlwWwAAAABJRU5ErkJggg==", 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", 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", 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", 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", 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", 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", 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", 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", 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", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "R = np.linspace(Rmin, Rmax, Rnum)\n", + "Z = np.linspace(Zmin, Zmax, Znum)\n", + "\n", + "xv, yv = np.meshgrid(R, Z)\n", + "\n", + "for m in range(3):\n", + " for n in range(5):\n", + " # Tranpose for contourf\n", + " cx = plt.contourf(xv, yv, disk_grid[m][n]['potential'].transpose())\n", + " plt.xlabel('R')\n", + " plt.ylabel('Z')\n", + " plt.title('m, n={}, {}'.format(m, n))\n", + " plt.colorbar(cx)\n", + " plt.show()\n", + " " + ] + }, + { + "cell_type": "markdown", + "id": "48ac32f4", + "metadata": {}, + "source": [ + "The `disk_config` above specifies `nmax: 8` and `noddcyl: 3`. This creates a cylindrical basis with 5 vertically symmetric basis functions, and 3 vertically anti-symmetric basis functions. The symmetric basis functions have indices [0,...,4] and the anti-symmetric basis functions have indices [5,6,7].\n", + "\n", + "So the plots above show the first 5 symmetric basis functions. We quickly modify this code to visualize the antisymmetric functions:" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "ce6ece35", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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", 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", 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", 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", 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2yMhIWa1Wl/tYrVaX5S9cuKDjx4+rc+fObrU9YMAAvfnmm/rZz36m7777TrNnz1ZiYqL27Nmj9u3bu9wnIyNDM2fOdKv+QOHyGgA0bR+culrhRvM61XHu9HlJG9WlSxe77TNmzFB6enqd6nblD3/4g3766SeNHj3a53VfLGgCUhWTyWT33TAMp221lXe1vSYXTwX27dtXCQkJ6tGjh9544w2lpaW53Gfq1Kl2v5WUlDj98QAA0FgcPnxYERERtu9ms9nnbaxevVrp6en68MMP1alTJ5/Xf7GgCUgdOnRQSEiI02zRsWPHnGaJqkRFRbksHxoaWu3MjztatWqlvn376uuvv662jNls9ssfh694MnvkySMDAABNU0REhF1A8rU1a9booYce0rvvvqtbb73Vb+1UCZo1SGFhYYqLi1NWVpbd9qysLCUmJrrcJyEhwan8xo0bFR8fr+bNvZ9SLC0tVX5+vtuX6OqKS2EAgKZs9erVeuCBB/T222/rjjvuqJc2g2YGSZLS0tKUnJys+Ph4JSQk6NVXX1VhYaEmTJggqfKy1tGjR/Xmm29KkiZMmKBFixYpLS1NKSkpys7O1ooVK7R69WpbnWVlZdq7d6/tn48ePaq8vDy1bt1al19+uSTpySef1F133aWuXbvq2LFjmj17tkpKSjR+/Ph6PgPuqW3Gh8AFAAiU06dPa//+/bbvBQUFysvLU7t27dS1a1ensXz16tW6//779cc//lEDBw60XRlq0aKFLBaL3/oZVAFpzJgxOnHihGbNmqWioiL16dNHGzZsULdu3SRJRUVFds9Eio2N1YYNGzR58mQtXrxY0dHRWrhwoe0Wf0n69ttv7W4TnD9/vubPn6/Bgwdr8+bNkqQjR47ol7/8pY4fP66OHTtq4MCBysnJsbULAADcs3PnTt18882271XrdcePH6+VK1c6jeV/+tOfdOHCBT322GN67LHHbNuryvuLyahatQy/KikpkcViUY9pcxQSHu7Rvp7O+Ph6Bok1SABQv8rPndOBOdNUXFzsl3U9VWPSszlJCm9d97vYZg/c6Le+BkrQrEGCb3B5DQCA2hGQAAAAHBCQGjhfzvgwewQAgHsISKgR648AAE0RAakRcjVT5O3sEbNOAICmiIDUBBByAADwDAGpkaoKRYQjAAA8R0BqwOoabnwVjghZAICmhoAEnyjtWkaQAgA0GgQk1IljMCIkAQAaAwIS3OLJnXGEJABAsCMgNVANOWS4czmtIfcfAIDahAa6A7DXkIOFp30r7VrGgyYBAEGJGaR6Vtal+pDRkMMRAABNCTNIAUAQAgCgYWMGCQAAwAEBCQAAwAEBCQAAwAEBCQAAwAEBCQAAwAEBCQAAwAEBCQAAwAEBCQAAwAEBCQAAwAEBCX7FU8MBAMGIgAS/IyQBAIINAQkAAMABAQn1glkkAEAwISCh3hCSAADBgoCEekVIAgAEAwIS6h0hCQDQ0BGQEBCEJABAQ0ZAQsAQkgAADRUBCQAAwAEBCQHFLBIAoCEKuoC0ZMkSxcbGKjw8XHFxcdq6dWuN5bds2aK4uDiFh4ere/fuWrZsmd3ve/bs0ahRoxQTEyOTyaQFCxb4pF0AAOCap2PqqlWrdPXVV6tly5bq3LmzHnzwQZ04ccKvfQyqgLRmzRqlpqZq+vTpys3N1aBBgzR8+HAVFha6LF9QUKDbb79dgwYNUm5urqZNm6ZJkyZp7dq1tjJnzpxR9+7d9eKLLyoqKson7QIAANc8HVM//fRT3X///XrooYe0Z88evfvuu9qxY4d+/etf+7WfJsMwDL+24EMDBgzQtddeq6VLl9q29erVSyNHjlRGRoZT+WeeeUbr169Xfn6+bduECRP0+eefKzs726l8TEyMUlNTlZqaWqd2XSkpKZHFYlGXpelq1iLcrX2aEnNhWKC7AAANRvm5czowZ5qKi4sVERHh8/qrxqRnc5IU3rp5neo6d/q8Zg/c6HZfPR1T58+fr6VLl+rAgQO2ba+88ormzZunw4cP16nvNQmaGaSysjLt2rVLSUlJdtuTkpK0bds2l/tkZ2c7lR86dKh27typ8+fP+61dAADgzJsxNTExUUeOHNGGDRtkGIa+++47vffee7rjjjv82tdQv9buQ8ePH1d5ebkiIyPttkdGRspqtbrcx2q1uix/4cIFHT9+XJ07d/ZLu5JUWlqq0tJS2/eSkpJa2wIAIFg5jnNms1lms9lumzdjamJiolatWqUxY8bo3LlzunDhgkaMGKFXXnnFtwfgIGgCUhWTyWT33TAMp221lXe13dftZmRkaObMmR610ZSVdi3jMhsA1LNN3/1MoafNtReswYWfSiVtVJcuXey2z5gxQ+np6S738WRM3bt3ryZNmqTnn39eQ4cOVVFRkZ566ilNmDBBK1asqFPfaxI0AalDhw4KCQlxSpjHjh1zSqJVoqKiXJYPDQ1V+/bt/dauJE2dOlVpaWm27yUlJU5/PAAANBaHDx+2W4PkOHskeTemZmRk6IYbbtBTTz0lSerXr59atWqlQYMGafbs2W5dDfJG0KxBCgsLU1xcnLKysuy2Z2VlKTEx0eU+CQkJTuU3btyo+Ph4NW/u3qI0b9qVKv8wIiIi7D4AADRWjmOeq4DkzZh65swZNWtmH1dCQkIk/eeqkD8EzQySJKWlpSk5OVnx8fFKSEjQq6++qsLCQk2YMEFS5azN0aNH9eabb0qqvGNt0aJFSktLU0pKirKzs7VixQqtXr3aVmdZWZn27t1r++ejR48qLy9PrVu31uWXX+5Wu/ANLrMBQOPn6Vh+1113KSUlRUuXLrVdYktNTdX111+v6Ohov/UzqALSmDFjdOLECc2aNUtFRUXq06ePNmzYoG7dukmSioqK7J6jEBsbqw0bNmjy5MlavHixoqOjtXDhQo0aNcpW5ttvv1X//v1t3+fPn6/58+dr8ODB2rx5s1vtAgAA93g6lj/wwAM6deqUFi1apN/+9re65JJL9POf/1xz5871az+D6jlIwYznILmHGSQAqL/nIN3w4USFtqr7Iu1/3b3Ib30NlKBZg4SmgXezAQAaAgISAACAAwISAACAAwISAACAAwISGhzWIQEAAo2ABAAA4ICAhAaJWSQAQCARkAAAABwQkNBgMYsEAAgUAhIAAIADAhIAAIADAhIaNC6zAQACgYAEAADggIAEAADggICEBo/LbACA+kZAAgAAcEBAAgAAcEBAAgAAcEBAAgAAcEBAAgAAcEBAQlDgTjYAQH0iIAEAADggIAEAADggIAEAADggIAEAADggICFosFAbAFBfCEgAAAAOCEgAAAAOCEgAAAAOCEgAAAAOCEgIKizUBgDUBwISAACAAwISAACAAwISAACAAwISAACAg6ALSEuWLFFsbKzCw8MVFxenrVu31lh+y5YtiouLU3h4uLp3765ly5Y5lVm7dq169+4ts9ms3r17a926dXa/p6eny2Qy2X2ioqJ8elxwHwu1ASC4eTqWV/nXv/6l0NBQXXPNNf7toIIsIK1Zs0apqamaPn26cnNzNWjQIA0fPlyFhYUuyxcUFOj222/XoEGDlJubq2nTpmnSpElau3atrUx2drbGjBmj5ORkff7550pOTtbo0aP12Wef2dV11VVXqaioyPbZvXu3X48VAIDGyNOxvEpxcbHuv/9+3XLLLfXST5NhGEa9tOQDAwYM0LXXXqulS5fatvXq1UsjR45URkaGU/lnnnlG69evV35+vm3bhAkT9Pnnnys7O1uSNGbMGJWUlOgf//iHrcywYcPUtm1brV69WlLlDNIHH3ygvLw8r/teUlIii8WiLkvT1axFuNf1oJK5MCzQXQAAvyk/d04H5kxTcXGxIiIifF5/1Zh0w4cTFdrKXKe6LvxUqn/dvcjtvno6llcZO3asrrjiCoWEhNR5THZH0MwglZWVadeuXUpKSrLbnpSUpG3btrncJzs726n80KFDtXPnTp0/f77GMo51fv3114qOjlZsbKzGjh2rb775pq6HBABAk+LNWC5Jr7/+ug4cOKAZM2b4u4s2ofXWUh0dP35c5eXlioyMtNseGRkpq9Xqch+r1eqy/IULF3T8+HF17ty52jIX1zlgwAC9+eab+tnPfqbvvvtOs2fPVmJiovbs2aP27du7bLu0tFSlpaW27yUlJR4dLwKrzaGaJ1ZPdTPVU08AIDg4jnNms1lms/3slDdj+ddff60pU6Zo69atCg2tv9gSNAGpislkPzAZhuG0rbbyjttrq3P48OG2f+7bt68SEhLUo0cPvfHGG0pLS3PZbkZGhmbOnFnL0aChqS0YOZYjKAEIZoXfdqjzso+Ks+ckSV26dLHbPmPGDKWnp7vcx92xvLy8XOPGjdPMmTP1s5/9rE799FTQBKQOHTooJCTEKWEeO3bMKYlWiYqKclk+NDTUNvNTXZnq6pSkVq1aqW/fvvr666+rLTN16lS78FRSUuL0x4OGw91gVN1+BCUATd3hw4ft1iA5zh5Jno/lp06d0s6dO5Wbm6uJEydKkioqKmQYhkJDQ7Vx40b9/Oc/9/GRVAqaNUhhYWGKi4tTVlaW3fasrCwlJia63CchIcGp/MaNGxUfH6/mzZvXWKa6OqXKy2f5+fnq3LlztWXMZrMiIiLsPo1dzGXfO32CgbfhyNd1AEAwcxzzXAUkT8fyiIgI7d69W3l5ebbPhAkTdOWVVyovL08DBgzw2/EEzQySJKWlpSk5OVnx8fFKSEjQq6++qsLCQk2YMEFS5azN0aNH9eabb0qqvGNt0aJFSktLU0pKirKzs7VixQrb3WmS9MQTT+imm27S3Llzdffdd+vDDz/Uxx9/rE8//dRW5sknn9Rdd92lrl276tixY5o9e7ZKSko0fvz4+j0BDVBtIcjx94NHOvqk3dKuZT65k82XwYbZJAConSdjebNmzdSnTx+7/Tt16qTw8HCn7b4WVAFpzJgxOnHihGbNmqWioiL16dNHGzZsULdu3SRJRUVFds9RiI2N1YYNGzR58mQtXrxY0dHRWrhwoUaNGmUrk5iYqHfeeUfPPvusnnvuOfXo0UNr1qyxS6VHjhzRL3/5Sx0/flwdO3bUwIEDlZOTY2u3KfJ2duji/XwVlrzlr1mfNocMQhIAVMPTsTxQguo5SMGssTwHydeXzeoSkuoyg1Qfl8QISQC8VV/PQfLFmFRx9pwOP5Lut74GStCsQULg+WNNUSDWKdXXeiHWJQFA8CIgwS3+DDL1uaCb0AIAcAcBCbWqr/ASLHe9eYJABgDBiYCEGjWm0BKosEJIAoDgQ0BCg9KYAtnFCEkAEFwISKhWYworBBQAgCcISHApkOGoMQWzixHSACB4EJDQILkTkkq7lrlVF8EEAOApAhJQjwhrABAcCEhw0lAucfmiHwQSAIA3CEgAAAAOgupltfA/X8za3Bb1f7WWybL2dKuumMu+9/p9bQ119oiX2QJAw0dAgs+4E4wcy7oblAAAqE9cYoNPeBKOfLEfAAD+RECCjbeX1+oacmrbvz4XjVsOlNp9/KWhXv4DAFQiIKFOfDUD5OuZJE8DSHWByN9BCQDQMBGQ4DVfh5pAXG5zNwARlACgaSEgISj44zIbgQcAUB0CEgAAgAMCEhqU+rrMFujZI56DBAANGwEJXmmqt+cHOlgBAOoHAQkAAMABAQkNTnWzU75aqM0sEACgNgQk2Hj7zrOGpqE/hJH1RwDQ8BGQ0CD5a40Ts0cAAHcQkFAv7o34t+6N+HeguwEAgFtCA90BNA3vlVxbb22d6maq9jJbcQ+zJO9mkqr2rUu/AADBgRkk2HF3HVKWtadf++Hv+t0NO8U9zLZPXRCOACC4MIMEJwePdHTrjrEsa0+/rBWqLhz5ehF5XUOPOwhGABCcmEGCS57MJPlytsdXdTWEYNIQ+gAA8A4BCdXyZMbGF8GmpjqC6REEp7qZCEcAEOS4xIYauXu5TfpPwPH0spu/1hvVtFjbX+0BABoHAhJq5UlIkpwDT3WByd1gVJfZo/oISQQjAGh8CEhwi6ch6WL+viOtNv4KSQQjAGi8CEhwW11CUl3arElp1zKZC8NqracqzNQlKBGIAKDpICDBI1WBpb6Dkq8QcgAA7gi6u9iWLFmi2NhYhYeHKy4uTlu3bq2x/JYtWxQXF6fw8HB1795dy5Ytcyqzdu1a9e7dW2azWb1799a6devq3G5jd/BIR7uPv+qujTuzRwCAhsUfY7mveRSQbrnlFr3//vvV/n78+HF17969zp2qzpo1a5Samqrp06crNzdXgwYN0vDhw1VYWOiyfEFBgW6//XYNGjRIubm5mjZtmiZNmqS1a9faymRnZ2vMmDFKTk7W559/ruTkZI0ePVqfffaZ1+02RY6BqS4fAEDj5Y+x3B9MhmG4vSijWbNmatasmaZPn66ZM2c6/f7dd98pOjpa5eXlPu1klQEDBujaa6/V0qVLbdt69eqlkSNHKiMjw6n8M888o/Xr1ys/P9+2bcKECfr888+VnZ0tSRozZoxKSkr0j3/8w1Zm2LBhatu2rVavXu1Vu66UlJTIYrGoy9J0NWsR7tmBo1rMIAFojMrPndOBOdNUXFysiIgIn9fvyzGp4uw5HX4k3e2++mMs9weP1yAtXbpUTz31lL744gu99dZbat26tT/65aSsrEy7du3SlClT7LYnJSVp27ZtLvfJzs5WUlKS3bahQ4dqxYoVOn/+vJo3b67s7GxNnjzZqcyCBQu8bleSSktLVVr6nxeilpSU1HqM8F5p17JAdwEAfKbibPD9N81xnDObzTKb7V/p5K+x3B88Dkh33323brzxRo0cOVIJCQn68MMP/XpZrcrx48dVXl6uyMhIu+2RkZGyWq0u97FarS7LX7hwQcePH1fnzp2rLVNVpzftSlJGRobLWbaLMfsBAAiksMNhCgmv21hUfq5CktSlSxe77TNmzFB6errdNn+N5f7g1SLtXr16afv27erSpYuuu+46ffzxx77uV7VMJvu7kAzDcNpWW3nH7e7U6Wm7U6dOVXFxse1z+PBhu98JR77D7BEABN7hw4ftxr2pU6dWW9YfY7mveX0Xm8Vi0d///nelpKTo9ttv18svv+zLfjnp0KGDQkJCnBLmsWPHnJJllaioKJflQ0ND1b59+xrLVNXpTbtS5dRiRESE3cf2G+EIANDIOI55jpfXJP+N5f7gUUByNavy4osv6q233tJzzz2nX//61z7t3MXCwsIUFxenrKwsu+1ZWVlKTEx0uU9CQoJT+Y0bNyo+Pt52zbK6MlV1etMunLU5ZDh9fIHZIwAIHv4ay/3BozVI1d3wNmbMGF155ZUaOXKkL/pUrbS0NCUnJys+Pl4JCQl69dVXVVhYqAkTJkiqvKx19OhRvfnmm5IqV7kvWrRIaWlpSklJUXZ2tlasWGG7O02SnnjiCd10002aO3eu7r77bn344Yf6+OOP9emnn7rdrifCDodJjfAmNm8CT3X7+ONhjr56sCWPIQCAuvHHWO4PHgWkTZs2qV27di5/u+aaa7Rr1y79/e9/90nHXBkzZoxOnDihWbNmqaioSH369NGGDRvUrVs3SVJRUZHdcxRiY2O1YcMGTZ48WYsXL1Z0dLQWLlyoUaNG2cokJibqnXfe0bPPPqvnnntOPXr00Jo1azRgwAC3222q/PUS2Kp6fRWUfPnUb8e6CEwA4Bl/jOX+4NFzkOC9qmdO9Jg2RyHhwT2F5K9g5Ki2gOTO5bX6eiUKQQmAL3n6bCFP+XJM8vczmwIl6F41gsDx5dohd9uri/p8X1zMZd8H7fvpAADOeFkt3FKXsGI5UOpye3EP5zscfCVQYaWqXWaUACC4EZBQK2/CUXWhyFWZmoJSm0OGXxZt+xtBCQCCG5fYUCNPw5HlQKlb4aiu+9SkIV3qakh9AQC4jxkkVMuTcOSLgGM5UOpyNskfs0i3Rf2f22WzrD3r1BazSQAQfAhIcKm+w1F98iQcOZavS1iKuex7QhIABAkCEurE1+GorrNINV3S8jQY1VSHt0GJ2SQACA6sQYITd2eP/DVzFGwzUgCAxoeAhAbHn7f/AwDgDgISAACAAwIS7NTnk7I94Yu72Op6N5ovcfs/ADRsBCQ0KHW9vMbiZwCALxCQ0KQ0pFkkAEDDRUCC13y9mJrF2QCAhoKAhCanrrNIvpqFYh0SADRcBCQ0eMH4sloAQHAjIKFOfHVZjMtrAICGhICEOqtruAlEOPL2MhmLvAGgaSAgwY63l7O8DTm17edNf9y91T/L2tOjwEM4AoCmg5fVwmeKe5g9eo9aQ7ms5hh8Ln6pLaEIAJomAhJ8qir01BSUGkowqk59hSIeagkADRcBCU5OdTPV+ZUjvghB3L0GAAgU1iChUWJ2BgBQFwQkIAAIcADQsBGQ4FKgL2/5on1CCADAWwQkNDjuhKPSrmX10BMAQFNFQEK1Aj2L1FgxswUADR8BCTWq75Dk6/YIIwAAbxCQ0GA0hRkrAhsABAcCEmoV7MGFUAIA8BQBCW7xd0gK9hDmDoIaAAQPAhLc5o8Qc6qbqV7CUaDDSaDbBwB4hoAEj/gyzNT3rFGgQgrhCACCDwEJHvPFrE9TuKQmEY4AIFjxslp4rSrkuPti24YQig4e6aiYy74PdDcAAA1c0MwgnTx5UsnJybJYLLJYLEpOTtaPP/5Y4z6GYSg9PV3R0dFq0aKFhgwZoj179tiVKS0t1eOPP64OHTqoVatWGjFihI4cOWJXJiYmRiaTye4zZcoUXx9i0KqaUbr442p7Q1EfszoHj3Rk9ggA6sibsf9iDz/8sEwmkxYsWOBx20ETkMaNG6e8vDxlZmYqMzNTeXl5Sk5OrnGfefPm6aWXXtKiRYu0Y8cORUVF6bbbbtOpU6dsZVJTU7Vu3Tq98847+vTTT3X69GndeeedKi8vt6tr1qxZKioqsn2effZZvxxnY+HPQOSL14z4M7wQjADAN7wZ+6t88MEH+uyzzxQdHe1V20FxiS0/P1+ZmZnKycnRgAEDJEnLly9XQkKC9u3bpyuvvNJpH8MwtGDBAk2fPl333HOPJOmNN95QZGSk3n77bT388MMqLi7WihUr9NZbb+nWW2+VJP3lL39Rly5d9PHHH2vo0KG2+tq0aaOoqKh6OFrUF39cbiMcAYBveDP2Vzl69KgmTpyojz76SHfccYdX7QfFDFJ2drYsFovtBEnSwIEDZbFYtG3bNpf7FBQUyGq1KikpybbNbDZr8ODBtn127dql8+fP25WJjo5Wnz59nOqdO3eu2rdvr2uuuUYvvPCCyspqnsUoLS1VSUmJ3QcNjy8vhRGOADRljmNeaWlpnerzZuyXpIqKCiUnJ+upp57SVVdd5XX7QTGDZLVa1alTJ6ftnTp1ktVqrXYfSYqMjLTbHhkZqUOHDtnKhIWFqW3btk5lLq73iSee0LXXXqu2bdtq+/btmjp1qgoKCvTaa69V2+eMjAzNnDnTvQNEwNVlNolgBCBYtTlsKCTMvRttqlNeVrl/ly5d7LbPmDFD6enpXtfrzdgvVU5ohIaGatKkSV63LQU4IKWnp9caInbs2CFJMpmc17QYhuFy+8Ucf3dnH8cykydPtv1zv3791LZtW9177722WSVXpk6dqrS0NNv3kpISpz8eNCwXB53awhKhCADsHT58WBEREbbvZrPZZTl/jv27du3SH//4R/373/+udayvTUAD0sSJEzV27Ngay8TExOiLL77Qd9995/Tb999/7zRDVKVqvZDValXnzp1t248dO2bbJyoqSmVlZTp58qTdLNKxY8eUmJhYbZ8GDhwoSdq/f3+1AclsNlf7x4GGjwAEAJ6JiIiwC0jV8efYv3XrVh07dkxdu3a1bSsvL9dvf/tbLViwQAcPHqy1f1UCGpA6dOigDh061FouISFBxcXF2r59u66//npJ0meffabi4uJqg0xsbKyioqKUlZWl/v37S5LKysq0ZcsWzZ07V5IUFxen5s2bKysrS6NHj5YkFRUV6csvv9S8efOq7U9ubq4k2QUvAABQO3+O/cnJybabrqoMHTpUycnJevDBBz3qZ1CsQerVq5eGDRumlJQU/elPf5Ik/eY3v9Gdd95pt4q9Z8+eysjI0C9+8QuZTCalpqZqzpw5uuKKK3TFFVdozpw5atmypcaNGydJslgseuihh/Tb3/5W7du3V7t27fTkk0+qb9++thOcnZ2tnJwc3XzzzbJYLNqxY4cmT56sESNG2CVU1A9f3OIPAGj4vBn727dv73Rlp3nz5oqKiqrxrjdXgiIgSdKqVas0adIk2x1nI0aM0KJFi+zK7Nu3T8XFxbbvTz/9tM6ePatHH31UJ0+e1IABA7Rx40a1adPGVubll19WaGioRo8erbNnz+qWW27RypUrFRISIqnyUtmaNWs0c+ZMlZaWqlu3bkpJSdHTTz9dD0cNAEDT5c3Y7ysmwzDqtnwdbikpKZHFYlGPaXMUEh4e6O4ELWaQADQFFWfP6fAj6SouLnZrXY+nqsaka5JfUEhY3cak8rJzyntrut/6GihB8RwkAACA+kRAAgAAcEBAAgAAcEBAQtBg/REAoL4QkAAAABwQkAAAABwQkAAAABwQkBAUWH8EAKhPBCQAAAAHBCQAAAAHBCQAAAAHBCQAAAAHBCQ0eCzQBgDUNwISAACAAwISAACAAwISAACAAwISAACAAwISAACAAwISGjTuYAMABAIBCQAAwAEBCQAAwAEBCQ0Wl9cAAIFCQAIAAHBAQAIAAHBAQEKDxOU1AEAgEZAAAAAcEJDQ4DB7BAAINAISAACAAwISAACAAwISGhQurwEAGgICEgAAgAMCEgAAgAMCEhoMLq8BABoKAhIAAIADAhIAAICDoAlIJ0+eVHJysiwWiywWi5KTk/Xjjz/WuI9hGEpPT1d0dLRatGihIUOGaM+ePXZlXn31VQ0ZMkQREREymUwu6/SmbXiGy2sAAEfejL+nT5/WxIkTddlll6lFixbq1auXli5d6nHbQROQxo0bp7y8PGVmZiozM1N5eXlKTk6ucZ958+bppZde0qJFi7Rjxw5FRUXptttu06lTp2xlzpw5o2HDhmnatGk+bRsAANSNN+Pv5MmTlZmZqb/85S/Kz8/X5MmT9fjjj+vDDz/0qO3QunS8vuTn5yszM1M5OTkaMGCAJGn58uVKSEjQvn37dOWVVzrtYxiGFixYoOnTp+uee+6RJL3xxhuKjIzU22+/rYcffliSlJqaKknavHmzz9oGAAB14+34m52drfHjx2vIkCGSpN/85jf605/+pJ07d+ruu+92u/2gmEHKzs6WxWKxnSBJGjhwoCwWi7Zt2+Zyn4KCAlmtViUlJdm2mc1mDR48uNp9fNW2JJWWlqqkpMTuA9e4vAYAwc9xzCstLa1Tfd6OvzfeeKPWr1+vo0ePyjAMbdq0SV999ZWGDh3qUftBMYNktVrVqVMnp+2dOnWS1Wqtdh9JioyMtNseGRmpQ4cO+bVtScrIyNDMmTPdbgcAgPoWUVCq0FBTneq4cKEyCHXp0sVu+4wZM5Senu51vd6OvwsXLlRKSoouu+wyhYaGqlmzZnrttdd04403etR+QGeQ0tPTZTKZavzs3LlTkmQyOf8LNAzD5faLOf7uzj611eFOPVOnTlVxcbHtc/jwYY/aBAAgmBw+fNhu3Js6darLcv4e+xcuXKicnBytX79eu3bt0h/+8Ac9+uij+vjjjz06noDOIE2cOFFjx46tsUxMTIy++OILfffdd06/ff/9904zRFWioqIkVSbQzp0727YfO3as2n2qq8fTtqXKy3lms9ntdpoqLq8BQOMQERGhiIiIWsv5c+w/e/aspk2bpnXr1umOO+6QJPXr1095eXmaP3++br31VjeOpFJAA1KHDh3UoUOHWsslJCSouLhY27dv1/XXXy9J+uyzz1RcXKzExESX+8TGxioqKkpZWVnq37+/JKmsrExbtmzR3Llz3e6jN20DAADX/Dn2nz9/XufPn1ezZvYXyEJCQlRRUeFRP4NikXavXr00bNgwpaSkKCcnRzk5OUpJSdGdd95pt4q9Z8+eWrdunaTKabnU1FTNmTNH69at05dffqkHHnhALVu21Lhx42z7WK1W5eXlaf/+/ZKk3bt3Ky8vTz/88INHbQMAAN/xZuyPiIjQ4MGD9dRTT2nz5s0qKCjQypUr9eabb+oXv/iFR+0HRUCSpFWrVqlv375KSkpSUlKS+vXrp7feesuuzL59+1RcXGz7/vTTTys1NVWPPvqo4uPjdfToUW3cuFFt2rSxlVm2bJn69++vlJQUSdJNN92k/v37a/369R61Dc9xeQ0AUBNvxv533nlH1113nX71q1+pd+/eevHFF/XCCy9owoQJHrVtMgzD8MlRoEYlJSWyWCzqMW2OQsLDA92dBoGABACuVZw9p8OPpKu4uNitdT2eqhqTbrrxeYWG1m1MunDhnD75dJbf+hooQTODhMaFcAQAaMgISKh3hCMAQENHQEK9IhwBAIIBAQn1hnAEAAgWBCTUC8IRACCYEJDgd4QjAECwISABAAA4ICDBr5g9AgAEIwIS/IZwBAAIVgQkAAAABwQkAAAABwQkAAAABwQkAAAABwQkAAAABwQkAAAABwQkAAAABwQkAAAABwQkAAAAB6GB7kBTU9alTM1aVJ9LzYVh9dgbAADgCjNIDUxDfT1HadeyBts3AAB8jYDUADXkMOJu3xpq/wEAcAcBCV6pKSgRjgAAwY6A1IA1lKBRUz8cf2sofQYAoC5YpI06IxQBABobZpAaKUILAADeIyA1Yr5Y7E3QAgA0RQSkBs6bgMK6IAAA6oaA1EQQkgAAcB8BqZHx5I6zutQFAEBjRkACAABwQEAKAr6cyfGkLt4LBwBoqghIAAAADghIAAAADghITRCLrwEAqBkBCQAAwEHQBKSTJ08qOTlZFotFFotFycnJ+vHHH2vcxzAMpaenKzo6Wi1atNCQIUO0Z88euzKvvvqqhgwZooiICJlMJpd1xsTEyGQy2X2mTJniw6Orf8wiAQAauhdeeEGJiYlq2bKlLrnkklrLnz9/Xs8884z69u2rVq1aKTo6Wvfff7++/fZbj9sOmoA0btw45eXlKTMzU5mZmcrLy1NycnKN+8ybN08vvfSSFi1apB07digqKkq33XabTp06ZStz5swZDRs2TNOmTauxrlmzZqmoqMj2efbZZ31yXL7GnWcAgMairKxM9913nx555BG3yp85c0b//ve/9dxzz+nf//633n//fX311VcaMWKEx22HerxHAOTn5yszM1M5OTkaMGCAJGn58uVKSEjQvn37dOWVVzrtYxiGFixYoOnTp+uee+6RJL3xxhuKjIzU22+/rYcffliSlJqaKknavHlzjX1o06aNoqKifHdQHirtWubz8OOPOgEA8JWZM2dKklauXOlWeYvFoqysLLttr7zyiq6//noVFhaqa9eubrcdFDNI2dnZslgstnAkSQMHDpTFYtG2bdtc7lNQUCCr1aqkpCTbNrPZrMGDB1e7T03mzp2r9u3b65prrtELL7ygsjIuUQEA0NAVFxfLZDK5dYnuYkExg2S1WtWpUyen7Z06dZLVaq12H0mKjIy02x4ZGalDhw551P4TTzyha6+9Vm3bttX27ds1depUFRQU6LXXXqt2n9LSUpWWltq+l5SUeNRmfaltFslcGMZ6JQBArRzHObPZLLPZHKDeVDp37pymTJmicePGKSIiwqN9AxqQ0tPTbdNn1dmxY4ckyWQyOf1mGIbL7Rdz/N2dfRxNnjzZ9s/9+vVT27Ztde+999pmlVzJyMio9dgAAAiksH1HFdqsbkstmlVU/p/oLl262G2fMWOG0tPTncq7O/bHx8fXqV/nz5/X2LFjVVFRoSVLlni8f0AD0sSJEzV27Ngay8TExOiLL77Qd9995/Tb999/7zRDVKVqvZDValXnzp1t248dO1btPu4aOHCgJGn//v3VBqSpU6cqLS3N9r2kpMTpjwcAgMbi8OHDdrM01c0euTv218X58+c1evRoFRQU6H//9389nj2SAhyQOnTooA4dOtRaLiEhQcXFxdq+fbuuv/56SdJnn32m4uJiJSYmutwnNjZWUVFRysrKUv/+/SVVrobfsmWL5s6dW6d+5+bmSpJd8HLUEKYW3cVibQBAXUVERLgVRNwd+71VFY6+/vprbdq0qdqJjNoExSLtXr16adiwYUpJSVFOTo5ycnKUkpKiO++80+4Otp49e2rdunWSKi+tpaamas6cOVq3bp2+/PJLPfDAA2rZsqXGjRtn28dqtSovL0/79++XJO3evVt5eXn64YcfJFUuEH/55ZeVl5engoIC/c///I8efvhhjRgxwqPV8L7AWiAAQFNSWFiovLw8FRYWqry8XHl5ecrLy9Pp06dtZS4e+y9cuKB7771XO3fu1KpVq1ReXi6r1Sqr1erxzVVBsUhbklatWqVJkybZ7kobMWKEFi1aZFdm3759Ki4utn1/+umndfbsWT366KM6efKkBgwYoI0bN6pNmza2MsuWLbO7FnrTTTdJkl5//XU98MADMpvNWrNmjWbOnKnS0lJ169ZNKSkpevrpp/15uPWOWSQAQEPz/PPP64033rB9r7oitGnTJg0ZMkSS/dh/5MgRrV+/XpJ0zTXX2NV18T7uMBmGYXjfdbirpKREFotFXZamq1mLcK/rcSfEeDvTVF3dzFwBQP2qOHtOhx9JV3FxsVfrZ2pTNSbd2vGhOi/SvlBRpo+/X+G3vgZKUFxig2eYCQIAoG4ISLBhpggAgEoEJNghJAEAQEBCLQhMAICmiIAEJ4QiAEBTR0AKMoQXAAD8L2ieg4T6RRADADRlzCA1UtzqDwCA9whIAAAADghIAAAADghIAAAADghIAAAADghIAAAADghIQYhb8AEA8C8CEgAAgAMCUiPGs5AAAPAOAQkAAMABAQkAAMABAQkAAMABAQkAAMABAQkAAMABAQkAAMABASlI8bBIAAD8h4AEAADggIAEAADggIDUyPE0bQAAPEdAAgAAcEBAAgAAcEBAAgAAcEBACmLc6g8AgH8QkAAAABwQkAAAABwQkAAAABwQkIIc65AAAPA9AhIAAICDoAlIJ0+eVHJysiwWiywWi5KTk/Xjjz/WuI9hGEpPT1d0dLRatGihIUOGaM+ePbbff/jhBz3++OO68sor1bJlS3Xt2lWTJk1ScXFxndsGAAB188ILLygxMVEtW7bUJZdc4vZ++fn5GjFihCwWi9q0aaOBAweqsLDQo7aDJiCNGzdOeXl5yszMVGZmpvLy8pScnFzjPvPmzdNLL72kRYsWaceOHYqKitJtt92mU6dOSZK+/fZbffvtt5o/f752796tlStXKjMzUw899FCd2wYAAHVTVlam++67T4888ojb+xw4cEA33nijevbsqc2bN+vzzz/Xc889p/DwcI/aNhmGYXja4fqWn5+v3r17KycnRwMGDJAk5eTkKCEhQf/3f/+nK6+80mkfwzAUHR2t1NRUPfPMM5Kk0tJSRUZGau7cuXr44YddtvXuu+/qv/7rv/TTTz8pNDTUq7ZdKSkpkcViUZel6WrWwrN/SbWp7X1rrFMCgOBScfacDj+SruLiYkVERPi8/qox6daODym0Wd3e2Xmhokwff7/Cb32VpJUrVyo1NdWtqzdjx45V8+bN9dZbb9WpzaCYQcrOzpbFYrEFFEkaOHCgLBaLtm3b5nKfgoICWa1WJSUl2baZzWYNHjy42n0k2f4Fh4aGet02AACofxUVFfr73/+un/3sZxo6dKg6deqkAQMG6IMPPvC4rlDfd8/3rFarOnXq5LS9U6dOslqt1e4jSZGRkXbbIyMjdejQIZf7nDhxQr/73e/sZpe8aVuqnK0qLS21fa9a11Rx9ly1+3jrbMdzCjtc/f8DqDjLDBIABJOqscLfF3kuGGVShQ/qUOWs1MXMZrPMZnPdKvfQsWPHdPr0ab344ouaPXu25s6dq8zMTN1zzz3atGmTBg8e7HZdAQ1I6enpmjlzZo1lduzYIUkymUxOvxmG4XL7xRx/r26fkpIS3XHHHerdu7dmzJhRYx3utJ2RkeHy2I6mvVhjfwEAqHLixAlZLBaf1xsWFqaoqChtttbtMlSV1q1bq0uXLnbbZsyYofT0dKey7o798fHxHvejoqIy7d19992aPHmyJOmaa67Rtm3btGzZsuAJSBMnTtTYsWNrLBMTE6MvvvhC3333ndNv33//vdMMUZWoqChJlTNAnTt3tm0/duyY0z6nTp3SsGHD1Lp1a61bt07Nmze3q8fTtiVp6tSpSktLs33/8ccf1a1bNxUWFvrljz1YlJSUqEuXLjp8+LDfrlUHA85DJc5DJc5DJc7DfxQXF6tr165q166dX+oPDw9XQUGBysp8c4XB1aRBdbNH7o793ujQoYNCQ0PVu3dvu+29evXSp59+6lFdAQ1IHTp0UIcOHWotl5CQoOLiYm3fvl3XX3+9JOmzzz5TcXGxEhMTXe4TGxurqKgoZWVlqX///pIqV8Nv2bJFc+fOtZUrKSnR0KFDZTabtX79eqdV7t60LVU/tWixWJr8//AlKSIigvMgzkMVzkMlzkMlzsN/NGvmv6XC4eHhHt/Z5Qvujv3eCAsL03XXXad9+/bZbf/qq6/UrVs3j+oKikXavXr10rBhw5SSkqKcnBzl5OQoJSVFd955p91dZD179tS6deskVV4WS01N1Zw5c7Ru3Tp9+eWXeuCBB9SyZUuNGzdOUuXMUVJSkn766SetWLFCJSUlslqtslqtKi8v96htAADgW4WFhcrLy1NhYaHKy8uVl5envLw8nT592lbm4rFfkp566imtWbNGy5cv1/79+7Vo0SL99a9/1aOPPupZ40aQOHHihPGrX/3KaNOmjdGmTRvjV7/6lXHy5Em7MpKM119/3fa9oqLCmDFjhhEVFWWYzWbjpptuMnbv3m37fdOmTYYkl5+CggKP2q5NcXGxIckoLi724ugbD85DJc5DJc5DJc5DJc7Df3AuKo0fP97lGL1p0yZbGcex3zAMY8WKFcbll19uhIeHG1dffbXxwQcfeNx20ASkYHfu3DljxowZxrlz5wLdlYDiPFTiPFTiPFTiPFTiPPwH5yLwguJBkQAAAPUpKNYgAQAA1CcCEgAAgAMCEgAAgAMCEgAAgAMCkpeWLFmi2NhYhYeHKy4uTlu3bq2x/JYtWxQXF6fw8HB1795dy5Ytcyqzdu1a9e7dW2azWb1797Z7rkND5evzsGfPHo0aNUoxMTEymUxasGCBH3vvO74+D8uXL9egQYPUtm1btW3bVrfeequ2b9/uz0PwGV+fi/fff1/x8fG65JJL1KpVK11zzTV1fkt3ffDHfyOqvPPOOzKZTBo5cqSPe+17vj4PK1eulMlkcvqcO+f791z6kj/+Hn788Uc99thj6ty5s8LDw9WrVy9t2LDBX4fQ9AT6Nrpg9M477xjNmzc3li9fbuzdu9d44oknjFatWhmHDh1yWf6bb74xWrZsaTzxxBPG3r17jeXLlxvNmzc33nvvPVuZbdu2GSEhIcacOXOM/Px8Y86cOUZoaKiRk5NTX4flMX+ch+3btxtPPvmksXr1aiMqKsp4+eWX6+lovOeP8zBu3Dhj8eLFRm5urpGfn288+OCDhsViMY4cOVJfh+UVf5yLTZs2Ge+//76xd+9eY//+/caCBQuMkJAQIzMzs74Oy2P+OA9VDh48aFx66aXGoEGDjLvvvtvPR1I3/jgPr7/+uhEREWEUFRXZfRoyf5yH0tJSIz4+3rj99tuNTz/91Dh48KCxdetWIy8vr74Oq9EjIHnh+uuvNyZMmGC3rWfPnsaUKVNcln/66aeNnj172m17+OGHjYEDB9q+jx492hg2bJhdmaFDhxpjx471Ua99zx/n4WLdunULioDk7/NgGIZx4cIFo02bNsYbb7xR9w77UX2cC8MwjP79+xvPPvts3TrrR/46DxcuXDBuuOEG47XXXjPGjx/f4AOSP87D66+/blgsFp/31Z/8cR6WLl1qdO/e3SgrK/N9h2EYhmFwic1DZWVl2rVrl5KSkuy2JyUladu2bS73yc7Odio/dOhQ7dy5U+fPn6+xTHV1Bpq/zkOwqa/zcObMGZ0/f95vL670hfo4F4Zh6J///Kf27dunm266yXed9yF/nodZs2apY8eOeuihh3zfcR/z53k4ffq0unXrpssuu0x33nmncnNzfX8APuKv87B+/XolJCToscceU2RkpPr06aM5c+bYXpOFuiMgeej48eMqLy9XZGSk3fbIyEhZrVaX+1itVpflL1y4oOPHj9dYpro6A81f5yHY1Nd5mDJlii699FLdeuutvum4H/jzXBQXF6t169YKCwvTHXfcoVdeeUW33Xab7w/CB/x1Hv71r39pxYoVWr58uX867mP+Og89e/bUypUrtX79eq1evVrh4eG64YYb9PXXX/vnQOrIX+fhm2++0Xvvvafy8nJt2LBBzz77rP7whz/ohRde8M+BNEGhge5AsDKZTHbfDcNw2lZbecftntbZEPjjPAQjf56HefPmafXq1dq8eXNA3rztKX+cizZt2theUPnPf/5TaWlp6t69u4YMGeK7jvuYL8/DqVOn9F//9V9avny5396C7i++/nsYOHCgBg4caPv9hhtu0LXXXqtXXnlFCxcu9FW3fc7X56GiokKdOnXSq6++qpCQEMXFxenbb7/V73//ez3//PM+7n3TREDyUIcOHRQSEuKU/I8dO+aU+KtERUW5LB8aGqr27dvXWKa6OgPNX+ch2Pj7PMyfP19z5szRxx9/rH79+vm28z7mz3PRrFkzXX755ZKka665Rvn5+crIyGiQAckf52HPnj06ePCg7rrrLtvvFRUVkqTQ0FDt27dPPXr08PGR1E19/TeiWbNmuu666xrsDJK/zkPnzp3VvHlzhYSE2Mr06tVLVqtVZWVlCgsL8/GRND1cYvNQWFiY4uLilJWVZbc9KytLiYmJLvdJSEhwKr9x40bFx8erefPmNZaprs5A89d5CDb+PA+///3v9bvf/U6ZmZmKj4/3fed9rD7/JgzDUGlpad077Qf+OA89e/bU7t27lZeXZ/uMGDFCN998s/Ly8tSlSxe/HY+36uvvwTAM5eXlqXPnzr7puI/56zzccMMN2r9/vy0oS9JXX32lzp07E458pb5XhTcGVbdsrlixwti7d6+RmppqtGrVyjh48KBhGIYxZcoUIzk52Va+6pbNyZMnG3v37jVWrFjhdMvmv/71LyMkJMR48cUXjfz8fOPFF18Mmtv8fXkeSktLjdzcXCM3N9fo3Lmz8eSTTxq5ubnG119/Xe/H5y5/nIe5c+caYWFhxnvvvWd3K/OpU6fq/fg84Y9zMWfOHGPjxo3GgQMHjPz8fOMPf/iDERoaaixfvrzej89d/jgPjoLhLjZ/nIf09HQjMzPTOHDggJGbm2s8+OCDRmhoqPHZZ5/V+/G5yx/nobCw0GjdurUxceJEY9++fcbf/vY3o1OnTsbs2bPr/fgaKwKSlxYvXmx069bNCAsLM6699lpjy5Yttt/Gjx9vDB482K785s2bjf79+xthYWFGTEyMsXTpUqc63333XePKK680mjdvbvTs2dNYu3atvw+jznx9HgoKCgxJTh/HehoaX5+Hbt26uTwPM2bMqIejqRtfn4vp06cbl19+uREeHm60bdvWSEhIMN555536OJQ68cd/Iy4WDAHJMHx/HlJTU42uXbsaYWFhRseOHY2kpCRj27Zt9XEodeKPv4dt27YZAwYMMMxms9G9e3fjhRdeMC5cuODvQ2kyTIbx/1d+AQAAQBJrkAAAAJwQkAAAABwQkAAAABwQkAAAABwQkAAAABwQkAAAABwQkAAAABwQkAAAABwQkADUuwceeEAmk0kmk0mhoaHq2rWrHnnkEZ08eTLQXQMASQQkAAEybNgwFRUV6eDBg3rttdf017/+VY8++miguwUAkqTQQHcAQNNkNpsVFRUlSbrssss0ZswYrVy5MrCdAoD/jxkkAAH3zTffKDMzU82bNw90VwBAEjNIAALkb3/7m1q3bq3y8nKdO3dOkvTSSy8FuFcAUImABCAgbr75Zi1dulRnzpzRa6+9pq+++kqPP/54oLsFAJK4xAYgQFq1aqXLL79c/fr108KFC1VaWqqZM2cGulsAIImABKCBmDFjhubPn69vv/020F0BAAISgIZhyJAhuuqqqzRnzpxAdwUACEgAGo60tDQtX75chw8fDnRXADRxJsMwjEB3AgAAoCFhBgkAAMABAQkAAMABAQkAAMABAQkAAMABAQkAAMABAQkAAMABAQkAAMABAQkAAMABAQkAAMABAQkAAMABAQkAAMABAQkAAMDB/wM56FOlTtAGygAAAABJRU5ErkJggg==", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for m in range(3):\n", + " for n in range(9, 12):\n", + " # Tranpose for contourf\n", + " cx = plt.contourf(xv, yv, disk_grid[m][n]['potential'].transpose())\n", + " plt.xlabel('R')\n", + " plt.ylabel('Z')\n", + " plt.title('m, n={}, {}'.format(m, n))\n", + " plt.colorbar(cx)\n", + " plt.show()\n", + " " + ] + }, + { + "cell_type": "markdown", + "id": "9b307b87", + "metadata": {}, + "source": [ + "***\n", + "\n", + "## Where do you want to go next?\n", + "\n", + "- [Return to Table of Contents](../README.ipynb)\n", + "- [Back to previous notebook](viewing%20a%20basis.ipynb)\n", + "- [Go to next notebook](../mSSA/cosine%20single%20channel.ipynb)\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.3" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/Tutorials/Basis/viewing a basis.ipynb b/Tutorials/Basis/viewing a basis.ipynb index 30a24fd..624de78 100644 --- a/Tutorials/Basis/viewing a basis.ipynb +++ b/Tutorials/Basis/viewing a basis.ipynb @@ -1018,6 +1018,20 @@ " plt.show()\n", " " ] + }, + { + "cell_type": "markdown", + "id": "91442936", + "metadata": {}, + "source": [ + "***\n", + "\n", + "## Where do you want to go next?\n", + "\n", + "- [Return to Table of Contents](../README.ipynb)\n", + "- [Back to previous notebook](../Introduction/Part2-Analysis.ipynb)\n", + "- [Go to next notebook](python%20disk%20density.ipynb)\n" + ] } ], "metadata": { diff --git a/Tutorials/Coefficients/create coefficients from snapshots.ipynb b/Tutorials/Coefficients/create coefficients from snapshots.ipynb index 63ffda0..d7c7a6f 100644 --- a/Tutorials/Coefficients/create coefficients from snapshots.ipynb +++ b/Tutorials/Coefficients/create coefficients from snapshots.ipynb @@ -73,7 +73,7 @@ "\n", "------------------------------------------------------------\n", "---- SLGridSph::ReadH5Cache: successfully read basis cache \n", - "Spherical::orthoTest: worst=0.000610644\n" + "---- Spherical::orthoTest: worst=0.000610644\n" ] } ], @@ -322,7 +322,13 @@ "index, mass, x, y, z = 9 1.5257087397912983e-05 0.5325482487678528 -0.5282903909683228 -0.5427659153938293\n", "index, mass, x, y, z = 10 1.2560915820358787e-05 0.037230491638183594 0.04481934756040573 0.04374310374259949\n", "Created coef\n", - "Testing the density center creation\n", + "Testing the density center creation\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Density center is [-0.0006861543092204976, -0.0005479418130833101, 0.00022687820017890524]\n", "Testing the particle iterator by computing COM\n", "Center of mass is -0.0011492806621531016 0.0007421095885616188 0.0013819579590973196\n", @@ -446,7 +452,13 @@ "index, mass, x, y, z = 7 1.0126675988431089e-05 0.7713322043418884 0.8117685317993164 -0.5192260146141052\n", "index, mass, x, y, z = 8 1.4755632037122268e-05 0.7988834977149963 -1.1536749601364136 0.08897676318883896\n", "index, mass, x, y, z = 9 1.5257087397912983e-05 0.5657582879066467 -0.5074846744537354 -0.5537232160568237\n", - "index, mass, x, y, z = 10 1.2560915820358787e-05 0.028049444779753685 -0.021903693675994873 0.016028795391321182\n", + "index, mass, x, y, z = 10 1.2560915820358787e-05 0.028049444779753685 -0.021903693675994873 0.016028795391321182\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Created coef\n", "Testing the density center creation\n", "Density center is [-0.0021096515433650666, 0.0004379602398594232, 0.00040863602973086516]\n", @@ -572,7 +584,13 @@ "index, mass, x, y, z = 7 1.0126675988431089e-05 0.8223872184753418 0.8109788298606873 -0.523422360420227\n", "index, mass, x, y, z = 8 1.4755632037122268e-05 0.810051679611206 -1.1656577587127686 0.08276036381721497\n", "index, mass, x, y, z = 9 1.5257087397912983e-05 0.5965313911437988 -0.4845116138458252 -0.5622776746749878\n", - "index, mass, x, y, z = 10 1.2560915820358787e-05 -0.04562341049313545 -0.013600143603980541 -0.04129752144217491\n", + "index, mass, x, y, z = 10 1.2560915820358787e-05 -0.04562341049313545 -0.013600143603980541 -0.04129752144217491\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Created coef\n", "Testing the density center creation\n", "Density center is [-0.0004962495861469264, -0.0014669572759893506, 0.00027884361943157924]\n", @@ -647,7 +665,7 @@ "Completed the file group list\n", "\n", "The coefficient time list is [0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1, 0.11, 0.12, 0.13, 0.14, 0.15, 0.16, 0.17, 0.18, 0.19, 0.2]\n", - "Elapsed time: 31.474817037582397\n" + "Elapsed time: 36.667502641677856\n" ] } ], @@ -836,19 +854,19 @@ "----------------------------------------\n", "---- potl\n", "----------------------------------------\n", - "[[-0.07295441 -0.07465927 -0.07638543 ... -0.07642821 -0.07471044\n", - " -0.07301125]\n", - " [-0.07465386 -0.07647787 -0.0783321 ... -0.07837041 -0.07652664\n", - " -0.07470971]\n", - " [-0.07637069 -0.07832202 -0.08031287 ... -0.08034939 -0.07837106\n", - " -0.07642807]\n", + "[[-0.91677207 -0.93819606 -0.9598877 ... -0.96042526 -0.938839\n", + " -0.9174864 ]\n", + " [-0.9381282 -0.9610492 -0.98435026 ... -0.9848317 -0.9616621\n", + " -0.93882996]\n", + " [-0.9597025 -0.9842236 -1.0092413 ... -1.0097002 -0.98483986\n", + " -0.96042347]\n", " ...\n", - " [-0.07634475 -0.07828815 -0.08026578 ... -0.08034544 -0.0783779\n", - " -0.07644202]\n", - " [-0.07463021 -0.0764481 -0.07829162 ... -0.07836549 -0.07653011\n", - " -0.07471784]\n", - " [-0.07293269 -0.07463355 -0.07635177 ... -0.07641781 -0.07470617\n", - " -0.07300937]]\n", + " [-0.95937645 -0.9837979 -1.0086495 ... -1.0096505 -0.9849257\n", + " -0.9605987 ]\n", + " [-0.9378308 -0.9606751 -0.9838414 ... -0.9847698 -0.9617057\n", + " -0.93893206]\n", + " [-0.9164992 -0.93787295 -0.95946467 ... -0.9602945 -0.9387855\n", + " -0.9174628 ]]\n", "----------------------------------------\n", "---- potl m=0\n", "----------------------------------------\n", @@ -964,7 +982,7 @@ }, { "data": { - "image/png": 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", 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", 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" ] @@ -1000,7 +1018,7 @@ "outputs": [ { "data": { - "image/png": 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AgOHienNGfwkEAnK5XNycAdtwcwbQv2K5OYNnFQIAjEJwAQCMQnABAIxCcAEAjEJwAQCMQnABAIxCcAEAjEJwAQCMQnABAIxCcAEAjBLXFZABU9n1qCa7Hh0l8fgo4BquuAAARiG4AABGIbgAAEYhuAAARiG4AABGIbgAAEYhuAAARiG4AABGIbgAAEYhuAAARiG4AABGIbgAAEYhuAAARiG4AABGIbgAAEYhuAAARiG4AABGIbgAAEYZPtAFAIOZ1z3LtrEOtNTZMo6dNQEDgSsuAIBRCC4AgFEILgCAUQguAIBRCC4AgFFiDq7Dhw9r0aJFcrvdcjgcKisrCztvWZY2btyojIwMjRo1Sjk5OTp79uwNxy0pKdGECROUnJwsj8ej48ePx1oaAGAIiDm4urq6lJWVpZKSkojnf/CDH+inP/2pXnnlFR07dky33XabvF6vrly5EnXMPXv2qLCwUJs2bVJtba2ysrLk9Xp18eLFWMsDAAxyDsuyrE/d2eHQ22+/rby8PEl/utpyu936xje+oXXr1kmS/H6/0tLSVFpaqqeeeiriOB6PRw899JC2bdsmSQoGg8rMzNTXv/51vfjiizesIxAIyOVyaZ4Wa7hjxKd9OUBC43tcGMw+sXpUpX3y+/1KTU3ts62tv+NqbGyUz+dTTk5O6JjL5ZLH41FNTU3EPlevXtXJkyfD+gwbNkw5OTlR+3R3dysQCIRtAIChwdbg8vl8kqS0tLSw42lpaaFzf+3SpUvq7e2NqU9xcbFcLldoy8zMtKF6AIAJjLyrsKioSH6/P7SdP39+oEsCAPQTW4MrPT1dktTW1hZ2vK2tLXTur40ZM0ZJSUkx9XE6nUpNTQ3bAABDg63BNXHiRKWnp6uysjJ0LBAI6NixY8rOzo7YZ+TIkZo9e3ZYn2AwqMrKyqh9AABDV8xPh+/s7FR9fX1ov7GxUXV1dbrjjjt0991364UXXtC//Mu/6L777tPEiRO1YcMGud3u0J2HkrRgwQItWbJEa9eulSQVFhaqoKBAn/vc5zRnzhz9+Mc/VldXl55++ulbf4UAgEEl5uA6ceKE5s+fH9ovLCyUJBUUFKi0tFT//M//rK6uLj333HNqb2/Xww8/rPLyciUnJ4f6NDQ06NKlS6H9ZcuW6cMPP9TGjRvl8/k0a9YslZeXX3fDBgAAt/Q9rkTB97gwFPA9LgxmA/Y9LgAA4o0VkAFD2HWlZNeVm8TVGwYGV1wAAKMQXAAAoxBcAACjEFwAAKMQXAAAoxBcAACjEFwAAKMQXAAAoxBcAACjEFwAAKMQXAAAoxBcAACjEFwAAKMQXAAAoxBcAACjEFwAAKMQXAAAoxBcAACjDB/oAgD0L697lm1jHWips2UcO2vC4McVFwDAKAQXAMAoBBcAwCgEFwDAKAQXAMAoBBcAwCgEFwDAKAQXAMAoBBcAwCgEFwDAKAQXAMAoBBcAwCgEFwDAKAQXAMAoMQfX4cOHtWjRIrndbjkcDpWVlYXO9fT0aP369ZoxY4Zuu+02ud1urVixQi0tLX2OuXnzZjkcjrBt6tSpMb8YAMDgF3NwdXV1KSsrSyUlJded+/jjj1VbW6sNGzaotrZWb731ls6cOaMnnnjihuNOmzZNra2toe3IkSOxlgYAGAJiXkgyNzdXubm5Ec+5XC5VVFSEHdu2bZvmzJmj5uZm3X333dELGT5c6enpsZYDABhi4r4Cst/vl8Ph0OjRo/tsd/bsWbndbiUnJys7O1vFxcVRg667u1vd3d2h/UAgYGfJAG6SXSsX27WSssRqykNBXG/OuHLlitavX6/8/HylpqZGbefxeFRaWqry8nJt375djY2NeuSRR9TR0RGxfXFxsVwuV2jLzMyM10sAACSYuAVXT0+PnnzySVmWpe3bt/fZNjc3V0uXLtXMmTPl9Xq1f/9+tbe3a+/evRHbFxUVye/3h7bz58/H4yUAABJQXD4qvBZaTU1Neu+99/q82opk9OjRmjx5surr6yOedzqdcjqddpQKADCM7Vdc10Lr7NmzOnjwoD7zmc/EPEZnZ6caGhqUkZFhd3kAAMPFHFydnZ2qq6tTXV2dJKmxsVF1dXVqbm5WT0+PvvrVr+rEiRP6t3/7N/X29srn88nn8+nq1auhMRYsWKBt27aF9tetW6dDhw7p3Llzqq6u1pIlS5SUlKT8/Pxbf4UAgEEl5o8KT5w4ofnz54f2CwsLJUkFBQXavHmz/uM//kOSNGvWrLB+77//vubNmydJamho0KVLl0LnLly4oPz8fF2+fFljx47Vww8/rKNHj2rs2LGxlgcAGORiDq558+bJsqyo5/s6d825c+fC9t94441YywAADFE8qxAAYBSCCwBgFIILAGAUggsAYBSCCwBgFIILAGAUggsAYBSCCwBgFIILAGAUggsAYBSCCwBglLisxwUAsfC6Z9k21oGWOlvGsbMm2IsrLgCAUQguAIBRCC4AgFEILgCAUQguAIBRCC4AgFEILgCAUQguAIBRCC4AgFEILgCAUQguAIBRCC4AgFEILgCAUQguAIBRCC4AgFEILgCAUQguAIBRWAEZwKBi18rFdq2kLLGast244gIAGIXgAgAYheACABiF4AIAGIXgAgAYJebgOnz4sBYtWiS32y2Hw6GysrKw8ytXrpTD4QjbFi5ceMNxS0pKNGHCBCUnJ8vj8ej48eOxlgYAGAJiDq6uri5lZWWppKQkapuFCxeqtbU1tL3++ut9jrlnzx4VFhZq06ZNqq2tVVZWlrxery5evBhreQCAQS7m73Hl5uYqNze3zzZOp1Pp6ek3PebLL7+sZ599Vk8//bQk6ZVXXtG7776rHTt26MUXX4y1RADAIBaX33FVVVVp3LhxmjJlilavXq3Lly9HbXv16lWdPHlSOTk5fy5q2DDl5OSopqYmYp/u7m4FAoGwDQAwNNgeXAsXLtQvf/lLVVZW6vvf/74OHTqk3Nxc9fb2Rmx/6dIl9fb2Ki0tLex4WlqafD5fxD7FxcVyuVyhLTMz0+6XAQBIULY/8umpp54K/XnGjBmaOXOm7rnnHlVVVWnBggW2/B1FRUUqLCwM7QcCAcILAIaIuN8OP2nSJI0ZM0b19fURz48ZM0ZJSUlqa2sLO97W1hb192ROp1OpqalhGwBgaIh7cF24cEGXL19WRkZGxPMjR47U7NmzVVlZGToWDAZVWVmp7OzseJcHADBMzMHV2dmpuro61dXVSZIaGxtVV1en5uZmdXZ26pvf/KaOHj2qc+fOqbKyUosXL9a9994rr9cbGmPBggXatm1baL+wsFD/+q//ql27dun3v/+9Vq9era6urtBdhgAAXBPz77hOnDih+fPnh/av/a6poKBA27dv129/+1vt2rVL7e3tcrvdeuyxx7RlyxY5nc5Qn4aGBl26dCm0v2zZMn344YfauHGjfD6fZs2apfLy8utu2AAAwGFZljXQRdyqQCAgl8uleVqs4Y4RA10OgEGA9bj61ydWj6q0T36//4b3LfCsQgCAUQguAIBRbP8eFwAMBnZ+vGfXx4585PgnXHEBAIxCcAEAjEJwAQCMQnABAIxCcAEAjEJwAQCMQnABAIxCcAEAjEJwAQCMQnABAIxCcAEAjEJwAQCMQnABAIxCcAEAjEJwAQCMQnABAIxCcAEAjMIKyAAQZ3atXGzXSsqS2aspc8UFADAKwQUAMArBBQAwCsEFADAKwQUAMArBBQAwCsEFADAKwQUAMArBBQAwCsEFADAKwQUAMArBBQAwCsEFADAKwQUAMErMwXX48GEtWrRIbrdbDodDZWVlYecdDkfEbevWrVHH3Lx583Xtp06dGvOLAQAMfjEHV1dXl7KyslRSUhLxfGtra9i2Y8cOORwOfeUrX+lz3GnTpoX1O3LkSKylAQCGgJgXkszNzVVubm7U8+np6WH7+/bt0/z58zVp0qS+Cxk+/Lq+AAD8tbj+jqutrU3vvvuuVq1adcO2Z8+eldvt1qRJk7R8+XI1NzdHbdvd3a1AIBC2AQCGhpivuGKxa9cupaSk6Mtf/nKf7Twej0pLSzVlyhS1trbqpZde0iOPPKLTp08rJSXluvbFxcV66aWX4lU2ACQkr3uWbWMdaKmzZRw7a7pZcb3i2rFjh5YvX67k5OQ+2+Xm5mrp0qWaOXOmvF6v9u/fr/b2du3duzdi+6KiIvn9/tB2/vz5eJQPAEhAcbvi+tWvfqUzZ85oz549MfcdPXq0Jk+erPr6+ojnnU6nnE7nrZYIADBQ3K64Xn31Vc2ePVtZWVkx9+3s7FRDQ4MyMjLiUBkAwGQxB1dnZ6fq6upUV1cnSWpsbFRdXV3YzRSBQEBvvvmmnnnmmYhjLFiwQNu2bQvtr1u3TocOHdK5c+dUXV2tJUuWKCkpSfn5+bGWBwAY5GL+qPDEiROaP39+aL+wsFCSVFBQoNLSUknSG2+8IcuyogZPQ0ODLl26FNq/cOGC8vPzdfnyZY0dO1YPP/ywjh49qrFjx8ZaHgBgkHNYlmUNdBG3KhAIyOVyaZ4Wa7hjxECXAwAJL9HuKvzE6lGV9snv9ys1NbXPtjyrEABgFIILAGAUggsAYBSCCwBgFIILAGAUggsAYBSCCwBgFIILAGAUggsAYBSCCwBgFIILAGCUuK6ADABITHY9Y9CuZx4GOoK6ffLNteWKCwBgFIILAGAUggsAYBSCCwBgFIILAGAUggsAYBSCCwBgFIILAGAUggsAYBSCCwBgFIILAGAUggsAYBSCCwBgFIILAGAUggsAYBSCCwBgFIILAGCUQbECsmVZkqRP1CNZA1wMAAwhgY6gPeN0/mmca/+e92VQBFdHR4ck6Yj2D3AlADC03D7Z3vE6Ojrkcrn6bOOwbibeElwwGFRLS4tSUlLkcDiitgsEAsrMzNT58+eVmprajxXeGuruX6bWLZlbO3X3r0Ss27IsdXR0yO12a9iwvn+LNSiuuIYNG6a77rrrptunpqYmzH+sWFB3/zK1bsnc2qm7fyVa3Te60rqGmzMAAEYhuAAARhlSweV0OrVp0yY5nc6BLiUm1N2/TK1bMrd26u5fptZ9zaC4OQMAMHQMqSsuAID5CC4AgFEILgCAUQguAIBRCC4AgFEGXXCVlJRowoQJSk5Olsfj0fHjx/ts/+abb2rq1KlKTk7WjBkztH9//z7vsLi4WA899JBSUlI0btw45eXl6cyZM332KS0tlcPhCNuSk5P7qeI/2bx583U1TJ06tc8+Az3XkjRhwoTr6nY4HFqzZk3E9gM514cPH9aiRYvkdrvlcDhUVlYWdt6yLG3cuFEZGRkaNWqUcnJydPbs2RuOG+vPiJ119/T0aP369ZoxY4Zuu+02ud1urVixQi0tLX2O+Wneb3bWLUkrV668roaFCxfecNyBnG9JEd/vDodDW7dujTpmf8z3rRhUwbVnzx4VFhZq06ZNqq2tVVZWlrxery5evBixfXV1tfLz87Vq1SqdOnVKeXl5ysvL0+nTp/ut5kOHDmnNmjU6evSoKioq1NPTo8cee0xdXV199ktNTVVra2toa2pq6qeK/2zatGlhNRw5ciRq20SYa0n6zW9+E1ZzRUWFJGnp0qVR+wzUXHd1dSkrK0slJSURz//gBz/QT3/6U73yyis6duyYbrvtNnm9Xl25ciXqmLH+jNhd98cff6za2lpt2LBBtbW1euutt3TmzBk98cQTNxw3lveb3XVfs3DhwrAaXn/99T7HHOj5lhRWb2trq3bs2CGHw6GvfOUrfY4b7/m+JdYgMmfOHGvNmjWh/d7eXsvtdlvFxcUR2z/55JPW448/HnbM4/FY//RP/xTXOvty8eJFS5J16NChqG127txpuVyu/isqgk2bNllZWVk33T4R59qyLOv555+37rnnHisYDEY8nwhzbVmWJcl6++23Q/vBYNBKT0+3tm7dGjrW3t5uOZ1O6/XXX486Tqw/I3bXHcnx48ctSVZTU1PUNrG+325VpLoLCgqsxYsXxzROIs734sWLrS9+8Yt9tunv+Y7VoLniunr1qk6ePKmcnJzQsWHDhiknJ0c1NTUR+9TU1IS1lySv1xu1fX/w+/2SpDvuuKPPdp2dnRo/frwyMzO1ePFi/e53v+uP8sKcPXtWbrdbkyZN0vLly9Xc3By1bSLO9dWrV7V792597Wtf63NVgUSY67/W2Ngon88XNqcul0sejyfqnH6an5H+4Pf75XA4NHr06D7bxfJ+i5eqqiqNGzdOU6ZM0erVq3X58uWobRNxvtva2vTuu+9q1apVN2ybCPMdzaAJrkuXLqm3t1dpaWlhx9PS0uTz+SL28fl8MbWPt2AwqBdeeEFf+MIXNH369KjtpkyZoh07dmjfvn3avXu3gsGg5s6dqwsXLvRbrR6PR6WlpSovL9f27dvV2NioRx55JLQ22l9LtLmWpLKyMrW3t2vlypVR2yTCXEdybd5imdNP8zMSb1euXNH69euVn5/f51PKY32/xcPChQv1y1/+UpWVlfr+97+vQ4cOKTc3V729vRHbJ+J879q1SykpKfryl7/cZ7tEmO++DIplTQaLNWvW6PTp0zf8LDk7O1vZ2dmh/blz5+r+++/Xz3/+c23ZsiXeZUqScnNzQ3+eOXOmPB6Pxo8fr717997U/80lgldffVW5ublyu91R2yTCXA9WPT09evLJJ2VZlrZv395n20R4vz311FOhP8+YMUMzZ87UPffco6qqKi1YsKBfarhVO3bs0PLly294g1EizHdfBs0V15gxY5SUlKS2traw421tbUpPT4/YJz09Pab28bR27Vq98847ev/992NaW0ySRowYoQceeED19fVxqu7GRo8ercmTJ0etIZHmWpKampp08OBBPfPMMzH1S4S5lhSat1jm9NP8jMTLtdBqampSRUVFzGtC3ej91h8mTZqkMWPGRK0hkeZbkn71q1/pzJkzMb/npcSY7780aIJr5MiRmj17tiorK0PHgsGgKisrw/6P+S9lZ2eHtZekioqKqO3jwbIsrV27Vm+//bbee+89TZw4MeYxent79cEHHygjIyMOFd6czs5ONTQ0RK0hEeb6L+3cuVPjxo3T448/HlO/RJhrSZo4caLS09PD5jQQCOjYsWNR5/TT/IzEw7XQOnv2rA4ePKjPfOYzMY9xo/dbf7hw4YIuX74ctYZEme9rXn31Vc2ePVtZWVkx902E+Q4z0HeH2OmNN96wnE6nVVpaav3P//yP9dxzz1mjR4+2fD6fZVmW9Y//+I/Wiy++GGr/61//2ho+fLj1wx/+0Pr9739vbdq0yRoxYoT1wQcf9FvNq1evtlwul1VVVWW1traGto8//jjU5q/rfumll6wDBw5YDQ0N1smTJ62nnnrKSk5Otn73u9/1W93f+MY3rKqqKquxsdH69a9/beXk5FhjxoyxLl68GLHmRJjra3p7e627777bWr9+/XXnEmmuOzo6rFOnTlmnTp2yJFkvv/yyderUqdDdd9/73ves0aNHW/v27bN++9vfWosXL7YmTpxo/fGPfwyN8cUvftH62c9+Ftq/0c9IvOu+evWq9cQTT1h33XWXVVdXF/ae7+7ujlr3jd5v8a67o6PDWrdunVVTU2M1NjZaBw8etB588EHrvvvus65cuRK17oGe72v8fr/1N3/zN9b27dsjjjEQ830rBlVwWZZl/exnP7Puvvtua+TIkdacOXOso0ePhs49+uijVkFBQVj7vXv3WpMnT7ZGjhxpTZs2zXr33Xf7tV5JEbedO3dGrfuFF14Ivca0tDTrS1/6klVbW9uvdS9btszKyMiwRo4cad15553WsmXLrPr6+qg1W9bAz/U1Bw4csCRZZ86cue5cIs31+++/H/G9ca2+YDBobdiwwUpLS7OcTqe1YMGC617T+PHjrU2bNoUd6+tnJN51NzY2Rn3Pv//++1HrvtH7Ld51f/zxx9Zjjz1mjR071hoxYoQ1fvx469lnn70ugBJtvq/5+c9/bo0aNcpqb2+POMZAzPetYD0uAIBRBs3vuAAAQwPBBQAwCsEFADAKwQUAMArBBQAwCsEFADAKwQUAMArBBQAwCsEFADAKwQUAMArBBQAwyv8Dkw0R7LaoISUAAAAASUVORK5CYII=", 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", 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", 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AVQguAIBVCC4AgFUILgCAVQguAIBVog6uiooKTZw4UT6fT47jaOPGjUHnjTFauHChfD6fOnXqpLFjx+q999677LglJSXq37+/PB6P+vfvrw0bNkRbGgDgGhB1cJ09e1aDBw/W0qVLQ57/2c9+ppdeeklLly7V/v37lZGRoXvvvVeNjY1hx9yzZ4+mTZum6dOn69ChQ5o+fbqmTp2qffv2RVseACDBOcYY85U7O442bNigyZMnS/p8teXz+TRnzhzNmzdPktTU1KT09HS98MIL+t73vhdynGnTpsnv9+sPf/hD4Nh9992nG2+8UW+88cYV1eL3++X1ejVWk5TkJH/VlwTENb7HhUR1wTSrTJvU0NCgtLS0iG1d/YyrpqZG9fX1ys/PDxzzeDwaM2aMdu/eHbbfnj17gvpI0vjx4yP2aWpqkt/vD9oAAInP1eCqr6+XJKWnpwcdT09PD5wL1y/aPsXFxfJ6vYEtKyvrKioHANgiJlcVOo4TtG+MaXXsavssWLBADQ0Nge3YsWNfvWAAgDVcvVdhRkaGpM9XUJmZmYHjJ06caLWi+nK/L6+uLtfH4/HI4/FcZcUAANu4uuLKyclRRkaGSktLA8fOnz+v8vJyjRw5Mmy/ESNGBPWRpO3bt0fsAwC4NkW94jpz5ow++uijwH5NTY2qqqrUpUsX9ezZU3PmzNFPf/pT9enTR3369NFPf/pTXX/99Xr00UcDfWbMmKHu3buruLhYkvTEE09o9OjReuGFFzRp0iRt2rRJO3bs0K5du1x4iQCARBJ1cB04cEDjxo0L7BcVFUmSCgsLtXr1aj311FP6v//7P33/+9/Xp59+quHDh2v79u1KTU0N9KmtrVWHDn9b7I0cOVJvvvmmnnnmGT377LPq3bu31q1bp+HDh1/NawMAJKCr+h5XPOF7XLgW8D0uJKp2+x4XAACxxhOQAYu4tVJya+UmsXpD22PFBQCwCsEFALAKwQUAsArBBQCwCsEFALAKwQUAsArBBQCwCsEFALAKwQUAsArBBQCwCsEFALAKwQUAsArBBQCwCsEFALAKwQUAsArBBQCwCsEFALAKwQUAsEpSexcAoO2N993m2ljbjle5Mo6bNSGxseICAFiF4AIAWIXgAgBYheACAFiF4AIAWIXgAgBYheACAFiF4AIAWIXgAgBYheACAFiF4AIAWIXgAgBYheACAFiF4AIAWCXq4KqoqNDEiRPl8/nkOI42btwYONfc3Kx58+Zp0KBB6ty5s3w+n2bMmKHjx49HHHP16tVyHKfVdu7cuahfEAAgsUUdXGfPntXgwYO1dOnSVuc+++wzHTx4UM8++6wOHjyo9evX68MPP9QDDzxw2XHT0tJUV1cXtKWkpERbHgAgwUX9IMmCggIVFBSEPOf1elVaWhp07OWXX9Ydd9yh2tpa9ezZM+y4juMoIyMj2nIAANeYmD8BuaGhQY7j6IYbbojY7syZM8rOztbFixd122236Sc/+YmGDBkStn1TU5OampoC+36/362SAUTBrScXu/UkZYmnKSe6mF6cce7cOc2fP1+PPvqo0tLSwrbr16+fVq9erc2bN+uNN95QSkqK7rzzTlVXV4ftU1xcLK/XG9iysrJi8RIAAHHGMcaYr9zZcbRhwwZNnjy51bnm5mY99NBDqq2tVVlZWcTg+rJLly7p9ttv1+jRo7VkyZKQbUKtuLKysjRWk5TkJEf9WgC0L1Zc17YLplll2qSGhobL5kVM3ipsbm7W1KlTVVNTo7feeiuq0JKkDh06aNiwYRFXXB6PRx6P52pLBQBYxvW3CltCq7q6Wjt27NBNN90U9RjGGFVVVSkzM9Pt8gAAlot6xXXmzBl99NFHgf2amhpVVVWpS5cu8vl8+uY3v6mDBw/qP//zP3Xx4kXV19dLkrp06aKOHTtKkmbMmKHu3buruLhYkvT8888rLy9Pffr0kd/v15IlS1RVVaVly5a58RoBAAkk6uA6cOCAxo0bF9gvKiqSJBUWFmrhwoXavHmzJOm2224L6rdz506NHTtWklRbW6sOHf622Dt9+rS++93vqr6+Xl6vV0OGDFFFRYXuuOOOaMsDACS4q7o4I574/X55vV4uzgAsxcUZ17ZoLs7gXoUAAKsQXAAAqxBcAACrEFwAAKsQXAAAqxBcAACrEFwAAKsQXAAAqxBcAACrEFwAAKsQXAAAq8TkeVwAEC037y/o1n0PuedhfGLFBQCwCsEFALAKwQUAsArBBQCwCsEFALAKwQUAsArBBQCwCsEFALAKwQUAsArBBQCwCsEFALAKwQUAsArBBQCwCsEFALAKwQUAsArBBQCwCsEFALAKT0AGkHDcenKxW09SlniasptYcQEArEJwAQCsQnABAKxCcAEArEJwAQCsEnVwVVRUaOLEifL5fHIcRxs3bgw6P3PmTDmOE7Tl5eVddtySkhL1799fHo9H/fv314YNG6ItDQBwDYg6uM6ePavBgwdr6dKlYdvcd999qqurC2xbt26NOOaePXs0bdo0TZ8+XYcOHdL06dM1depU7du3L9ryAAAJLurvcRUUFKigoCBiG4/Ho4yMjCsec/Hixbr33nu1YMECSdKCBQtUXl6uxYsX64033oi2RABAAovJZ1xlZWXq1q2bbr31Vj322GM6ceJExPZ79uxRfn5+0LHx48dr9+7dYfs0NTXJ7/cHbQCAxOd6cBUUFOjXv/613nrrLb344ovav3+/7r77bjU1NYXtU19fr/T09KBj6enpqq+vD9unuLhYXq83sGVlZbn2GgAA8cv1Wz5NmzYt8L8HDhyooUOHKjs7W1u2bNGDDz4Ytp/jOEH7xphWx75owYIFKioqCuz7/X7CCwCuATG/V2FmZqays7NVXV0dtk1GRkar1dWJEydarcK+yOPxyOPxuFYnAMAOMf8e16lTp3Ts2DFlZmaGbTNixAiVlpYGHdu+fbtGjhwZ6/IAAJaJesV15swZffTRR4H9mpoaVVVVqUuXLurSpYsWLlyoKVOmKDMzU3/5y1/09NNP6+abb9Y3vvGNQJ8ZM2aoe/fuKi4uliQ98cQTGj16tF544QVNmjRJmzZt0o4dO7Rr1y4XXiIAIJFEHVwHDhzQuHHjAvstnzMVFhbq1Vdf1bvvvqs1a9bo9OnTyszM1Lhx47Ru3TqlpqYG+tTW1qpDh78t9kaOHKk333xTzzzzjJ599ln17t1b69at0/Dhw6/mtQEAEpBjjDHtXYQb/H6/vF6vxmqSkpzk9i4HQALgeVxt54JpVpk2qaGhQWlpaRHbcq9CAIBVCC4AgFVifjk8ANjKzbf33HrbkbccWXEBACxDcAEArEJwAQCsQnABAKxCcAEArEJwAQCsQnABAKxCcAEArEJwAQCsQnABAKxCcAEArEJwAQCsQnABAKxCcAEArEJwAQCsQnABAKxCcAEArMITkAGgDbj15GK3nqQs2fs0ZVZcAACrEFwAAKsQXAAAqxBcAACrEFwAAKsQXAAAqxBcAACrEFwAAKsQXAAAqxBcAACrEFwAAKsQXAAAqxBcAACrEFwAAKtEHVwVFRWaOHGifD6fHMfRxo0bg847jhNy+/nPfx52zNWrV4fsc+7cuahfEAAgsUUdXGfPntXgwYO1dOnSkOfr6uqCtpUrV8pxHE2ZMiXiuGlpaa36pqSkRFseACDBRf0gyYKCAhUUFIQ9n5GREbS/adMmjRs3TrfcckvEcR3HadUXAIAvi+lnXH/961+1ZcsWfec737ls2zNnzig7O1s9evTQ/fffr8rKyojtm5qa5Pf7gzYAQOKLesUVjddff12pqal68MEHI7br16+fVq9erUGDBsnv9+vf/u3fdOedd+rQoUPq06dPyD7FxcV6/vnnY1E2AMSt8b7bXBtr2/EqV8Zxs6YrEdMV18qVK/Wtb33rsp9V5eXl6R/+4R80ePBgjRo1Sr/97W9166236uWXXw7bZ8GCBWpoaAhsx44dc7t8AEAcitmK6+2339aRI0e0bt26qPt26NBBw4YNU3V1ddg2Ho9HHo/nakoEAFgoZiuuFStWKDc3V4MHD466rzFGVVVVyszMjEFlAACbRb3iOnPmjD766KPAfk1NjaqqqtSlSxf17NlTkuT3+/W73/1OL774YsgxZsyYoe7du6u4uFiS9PzzzysvL099+vSR3+/XkiVLVFVVpWXLln2V1wQASGBRB9eBAwc0bty4wH5RUZEkqbCwUKtXr5YkvfnmmzLG6JFHHgk5Rm1trTp0+Nti7/Tp0/rud7+r+vp6eb1eDRkyRBUVFbrjjjuiLQ8AkOAcY4xp7yLc4Pf75fV6NVaTlOQkt3c5ABD34umqwgumWWXapIaGBqWlpUVsy70KAQBWIbgAAFYhuAAAViG4AABWIbgAAFYhuAAAViG4AABWIbgAAFYhuAAAViG4AABWIbgAAFaJ6ROQAQDxy60nF7txz0N/4yXdeOuVtWXFBQCwCsEFALAKwQUAsArBBQCwCsEFALAKwQUAsArBBQCwCsEFALAKwQUAsArBBQCwCsEFALAKwQUAsArBBQCwCsEFALAKwQUAsArBBQCwCsEFALBKwjwB2RgjSbqgZsm0czEAcA3xN166+jHOfD5Gy3/LI0mY4GpsbJQk7dLWdq4EAK4tN97q3liNjY3yer0R2zjmSuLNApcuXdLx48eVmpoqx3FCtvH7/crKytKxY8eUlpbWxhV+ddTd9mytnbrbFnW7xxijxsZG+Xw+degQ+VOshFlxdejQQT169LiitmlpaXHzy4oGdbc9W2un7rZF3e643EqrBRdnAACsQnABAKxyTQWXx+PRc889J4/H096lRIW6256ttVN326Lu9pEwF2cAAK4N19SKCwBgP4ILAGAVggsAYBWCCwBgFYILAGCVhAuuV155RTk5OUpJSVFubq7efvvtiO3Ly8uVm5urlJQU3XLLLVq+fHkbVfq54uJiDRs2TKmpqerWrZsmT56sI0eOROxTVlYmx3FabR988EEbVS0tXLiw1c/PyMiI2Ke957pFr169Qs7f7NmzQ7Zvr/muqKjQxIkT5fP55DiONm7cGHTeGKOFCxfK5/OpU6dOGjt2rN57773LjltSUqL+/fvL4/Gof//+2rBhQ5vV3dzcrHnz5mnQoEHq3LmzfD6fZsyYoePHj0ccc/Xq1SF/B+fOnWuTuiVp5syZrX5+Xl7eZcdtz/mWFHLeHMfRz3/+87BjtsV8X42ECq5169Zpzpw5+vGPf6zKykqNGjVKBQUFqq2tDdm+pqZGEyZM0KhRo1RZWamnn35aP/zhD1VSUtJmNZeXl2v27Nnau3evSktLdeHCBeXn5+vs2bOX7XvkyBHV1dUFtj59+rRBxX8zYMCAoJ//7rvvhm0bD3PdYv/+/UF1l5aWSpIeeuihiP3aer7Pnj2rwYMHa+nSpSHP/+xnP9NLL72kpUuXav/+/crIyNC9994buOF0KHv27NG0adM0ffp0HTp0SNOnT9fUqVO1b9++Nqn7s88+08GDB/Xss8/q4MGDWr9+vT788EM98MADlx03LS0taP7r6uqUkpLSJnW3uO+++4J+/tatkW/q3d7zLanVnK1cuVKO42jKlCkRx431fF8Vk0DuuOMOM2vWrKBj/fr1M/Pnzw/Z/qmnnjL9+vULOva9733P5OXlxazGyzlx4oSRZMrLy8O22blzp5FkPv3007Yr7Euee+45M3jw4CtuH49z3eKJJ54wvXv3NpcuXQp5Ph7mW5LZsGFDYP/SpUsmIyPDLFq0KHDs3Llzxuv1muXLl4cdZ+rUqea+++4LOjZ+/Hjz8MMPu16zMa3rDuW//uu/jCRz9OjRsG1WrVplvF6vu8VFEKruwsJCM2nSpKjGicf5njRpkrn77rsjtmnr+Y5Wwqy4zp8/r3feeUf5+flBx/Pz87V79+6Qffbs2dOq/fjx43XgwAE1NzfHrNZIGhoaJEldunS5bNshQ4YoMzNT99xzj3bu3Bnr0lqprq6Wz+dTTk6OHn74YX388cdh28bjXEuf/92sXbtW3/72t8M+VaBFe8/3F9XU1Ki+vj5oTj0ej8aMGRP2710K/3uI1CfWGhoa5DiObrjhhojtzpw5o+zsbPXo0UP333+/Kisr26bALygrK1O3bt1066236rHHHtOJEycito+3+f7rX/+qLVu26Dvf+c5l28bDfIeTMMF18uRJXbx4Uenp6UHH09PTVV9fH7JPfX19yPYXLlzQyZMnY1ZrOMYYFRUV6a677tLAgQPDtsvMzNRrr72mkpISrV+/Xn379tU999yjioqKNqt1+PDhWrNmjbZt26Zf/vKXqq+v18iRI3Xq1KmQ7eNtrlts3LhRp0+f1syZM8O2iYf5/rKWv+lo/t5b+kXbJ5bOnTun+fPn69FHH414l/J+/fpp9erV2rx5s9544w2lpKTozjvvVHV1dZvVWlBQoF//+td666239OKLL2r//v26++671dTUFLZPvM3366+/rtTUVD344IMR28XDfEeSMI81afHlfzUbYyL+SzpU+1DH28IPfvAD/fd//7d27doVsV3fvn3Vt2/fwP6IESN07Ngx/eIXv9Do0aNjXaakz/9P3GLQoEEaMWKEevfurddff11FRUUh+8TTXLdYsWKFCgoK5PP5wraJh/kOJ9q/96/aJxaam5v18MMP69KlS3rllVcits3Lywu6EOLOO+/U7bffrpdffllLliyJdamSpGnTpgX+98CBAzV06FBlZ2dry5YtEYMgXuZbklauXKlvfetbl/2sKh7mO5KEWXHdfPPNuu6661r9S+bEiROt/sXTIiMjI2T7pKQk3XTTTTGrNZTHH39cmzdv1s6dO6/4uWJflJeX167/GurcubMGDRoUtoZ4musWR48e1Y4dO/RP//RPUfdt7/luuYIzmr/3ln7R9omF5uZmTZ06VTU1NSotLY36mVAdOnTQsGHD2vV3kJmZqezs7Ig1xMt8S9Lbb7+tI0eOfKW/93iY7y9KmODq2LGjcnNzA1eItSgtLdXIkSND9hkxYkSr9tu3b9fQoUOVnJwcs1q/yBijH/zgB1q/fr3eeust5eTkfKVxKisrlZmZ6XJ1V66pqUmHDx8OW0M8zPWXrVq1St26ddPXv/71qPu293zn5OQoIyMjaE7Pnz+v8vLysH/vUvjfQ6Q+bmsJrerqau3YseMr/cPFGKOqqqp2/R2cOnVKx44di1hDPMx3ixUrVig3N1eDBw+Oum88zHeQ9roqJBbefPNNk5ycbFasWGHef/99M2fOHNO5c2fzl7/8xRhjzPz588306dMD7T/++GNz/fXXmyeffNK8//77ZsWKFSY5Odn8/ve/b7Oa//mf/9l4vV5TVlZm6urqAttnn30WaPPluv/1X//VbNiwwXz44Yfmz3/+s5k/f76RZEpKStqs7h/96EemrKzMfPzxx2bv3r3m/vvvN6mpqXE911908eJF07NnTzNv3rxW5+JlvhsbG01lZaWprKw0ksxLL71kKisrA1ffLVq0yHi9XrN+/Xrz7rvvmkceecRkZmYav98fGGP69OlBV9X+6U9/Mtddd51ZtGiROXz4sFm0aJFJSkoye/fubZO6m5ubzQMPPGB69Ohhqqqqgv7mm5qawta9cOFC88c//tH8z//8j6msrDT/+I//aJKSksy+ffvapO7Gxkbzox/9yOzevdvU1NSYnTt3mhEjRpju3bvH9Xy3aGhoMNdff7159dVXQ47RHvN9NRIquIwxZtmyZSY7O9t07NjR3H777UGXlRcWFpoxY8YEtS8rKzNDhgwxHTt2NL169Qr7i40VSSG3VatWha37hRdeML179zYpKSnmxhtvNHfddZfZsmVLm9Y9bdo0k5mZaZKTk43P5zMPPvigee+998LWbEz7z/UXbdu2zUgyR44caXUuXua75TL8L2+FhYXGmM8viX/uuedMRkaG8Xg8ZvTo0ebdd98NGmPMmDGB9i1+97vfmb59+5rk5GTTr18/1wM4Ut01NTVh/+Z37twZtu45c+aYnj17mo4dO5quXbua/Px8s3v37jar+7PPPjP5+fmma9euJjk52fTs2dMUFhaa2traoDHibb5b/Pu//7vp1KmTOX36dMgx2mO+rwbP4wIAWCVhPuMCAFwbCC4AgFUILgCAVQguAIBVCC4AgFUILgCAVQguAIBVCC4AgFUILgCAVQguAIBVCC4AgFX+H3AItv+JoZUaAAAAAElFTkSuQmCC", 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", 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", 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", 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", 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", + "image/png": 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", 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jEFwAAKMQXAAAoxBcAACjEFwAAKMQXAAAo0R1BWTAVHY9qsmuR0dJPD4KuIorLgCAUQguAIBRCC4AgFEILgCAUQguAIBRCC4AgFEILgCAUQguAIBRCC4AgFEILgCAUQguAIBRCC4AgFEILgCAUQguAIBRCC4AgFEILgCAUQguAIBRCC4AgFFGxLoAYDDLc8+wbax9F+ptGcfOmoBY4IoLAGAUggsAYBSCCwBgFIILAGAUggsAYJSIg+vw4cNavHix3G63HA6HKioqgs5blqVNmzYpIyNDo0aNUm5urs6cOXPdccvKyjRu3DglJiYqOztbx44di7Q0AMAQEHFwdXV1KSsrS2VlZSHP//CHP9SLL76ol156Se+9955uueUW5eXl6cqVK2HH3LVrl4qLi1VSUqK6ujplZWUpLy9PFy9ejLQ8AMAg57Asy/rUnR0OvfXWWyooKJD056stt9utb37zm1q/fr0kyev1Ki0tTeXl5Xr88cdDjpOdna1Zs2Zp69atkiS/36/MzEx94xvf0LPPPnvdOnw+n1wul+ZpiUY4Rn7alwPENb7HhcHsE6tX1dojr9er5OTkftva+juupqYmeTwe5ebmBo65XC5lZ2ertrY2ZJ+enh6dOHEiqM+wYcOUm5sbtk93d7d8Pl/QBgAYGmwNLo/HI0lKS0sLOp6WlhY497cuXbqkvr6+iPqUlpbK5XIFtszMTBuqBwCYwMi7Cjdu3Civ1xvYzp07F+uSAAADxNbgSk9PlyS1tbUFHW9rawuc+1spKSkaPnx4RH2cTqeSk5ODNgDA0GBrcI0fP17p6emqqqoKHPP5fHrvvfeUk5MTsk9CQoJmzpwZ1Mfv96uqqipsHwDA0BXx0+E7OzvV0NAQ2G9qalJ9fb1uu+023XnnnXrmmWf0r//6r7rnnns0fvx4Pffcc3K73YE7DyVpwYIFWrp0qdatWydJKi4uVlFRkT7/+c9r9uzZ+ulPf6quri498cQTN/8KAQCDSsTBdfz4cc2fPz+wX1xcLEkqKipSeXm5/uVf/kVdXV36+te/rvb2dj3wwAOqrKxUYmJioE9jY6MuXboU2F++fLk+/PBDbdq0SR6PRzNmzFBlZeU1N2wAAHBT3+OKF3yPC0MB3+PCYBaz73EBABBtrIAMGMKuKyW7rtwkrt4QG1xxAQCMQnABAIxCcAEAjEJwAQCMQnABAIxCcAEAjEJwAQCMQnABAIxCcAEAjEJwAQCMQnABAIxCcAEAjEJwAQCMQnABAIxCcAEAjEJwAQCMQnABAIxCcAEAjDIi1gUAGFh57hm2jbXvQr0t49hZEwY/rrgAAEYhuAAARiG4AABGIbgAAEYhuAAARiG4AABGIbgAAEYhuAAARiG4AABGIbgAAEYhuAAARiG4AABGIbgAAEYhuAAARok4uA4fPqzFixfL7XbL4XCooqIicK63t1cbNmzQtGnTdMstt8jtdmvlypW6cOFCv2Nu3rxZDocjaJs8eXLELwYAMPhFHFxdXV3KyspSWVnZNec+/vhj1dXV6bnnnlNdXZ3efPNNnT59Wo888sh1x506dapaW1sD25EjRyItDQAwBES8kGR+fr7y8/NDnnO5XNq/f3/Qsa1bt2r27NlqaWnRnXfeGb6QESOUnp4eaTkAgCEm6isge71eORwOjR49ut92Z86ckdvtVmJionJyclRaWho26Lq7u9Xd3R3Y9/l8dpYM4AbZtXKxXSspS6ymPBRE9eaMK1euaMOGDSosLFRycnLYdtnZ2SovL1dlZaW2bdumpqYmzZ07Vx0dHSHbl5aWyuVyBbbMzMxovQQAQJyJWnD19vbqsccek2VZ2rZtW79t8/PztWzZMk2fPl15eXnau3ev2tvbtXv37pDtN27cKK/XG9jOnTsXjZcAAIhDUfmo8GpoNTc369133+33aiuU0aNHa+LEiWpoaAh53ul0yul02lEqAMAwtl9xXQ2tM2fO6MCBA/rsZz8b8RidnZ1qbGxURkaG3eUBAAwXcXB1dnaqvr5e9fX1kqSmpibV19erpaVFvb29+upXv6rjx4/rV7/6lfr6+uTxeOTxeNTT0xMYY8GCBdq6dWtgf/369Tp06JDOnj2rmpoaLV26VMOHD1dhYeHNv0IAwKAS8UeFx48f1/z58wP7xcXFkqSioiJt3rxZv/71ryVJM2bMCOp38OBBzZs3T5LU2NioS5cuBc6dP39ehYWFunz5slJTU/XAAw/o6NGjSk1NjbQ8AMAgF3FwzZs3T5ZlhT3f37mrzp49G7T/+uuvR1oGAGCI4lmFAACjEFwAAKMQXAAAoxBcAACjEFwAAKMQXAAAoxBcAACjEFwAAKMQXAAAoxBcAACjEFwAAKNEZT0uAIhEnnuGbWPtu1Bvyzh21gR7ccUFADAKwQUAMArBBQAwCsEFADAKwQUAMArBBQAwCsEFADAKwQUAMArBBQAwCsEFADAKwQUAMArBBQAwCsEFADAKwQUAMArBBQAwCsEFADAKwQUAMAorIAMYVOxaudiulZQlVlO2G1dcAACjEFwAAKMQXAAAoxBcAACjEFwAAKNEHFyHDx/W4sWL5Xa75XA4VFFREXR+1apVcjgcQduiRYuuO25ZWZnGjRunxMREZWdn69ixY5GWBgAYAiIOrq6uLmVlZamsrCxsm0WLFqm1tTWwvfbaa/2OuWvXLhUXF6ukpER1dXXKyspSXl6eLl68GGl5AIBBLuLvceXn5ys/P7/fNk6nU+np6Tc85k9+8hM99dRTeuKJJyRJL730kt555x1t375dzz77bKQlAgAGsaj8jqu6ulpjxozRpEmTtGbNGl2+fDls256eHp04cUK5ubl/KWrYMOXm5qq2tjZkn+7ubvl8vqANADA02B5cixYt0i9/+UtVVVXpBz/4gQ4dOqT8/Hz19fWFbH/p0iX19fUpLS0t6HhaWpo8Hk/IPqWlpXK5XIEtMzPT7pcBAIhTtj/y6fHHHw/8edq0aZo+fbruuusuVVdXa8GCBbb8HRs3blRxcXFg3+fzEV4AMERE/Xb4CRMmKCUlRQ0NDSHPp6SkaPjw4Wpraws63tbWFvb3ZE6nU8nJyUEbAGBoiHpwnT9/XpcvX1ZGRkbI8wkJCZo5c6aqqqoCx/x+v6qqqpSTkxPt8gAAhok4uDo7O1VfX6/6+npJUlNTk+rr69XS0qLOzk5961vf0tGjR3X27FlVVVVpyZIluvvuu5WXlxcYY8GCBdq6dWtgv7i4WP/+7/+uV155RX/84x+1Zs0adXV1Be4yBADgqoh/x3X8+HHNnz8/sH/1d01FRUXatm2bfv/73+uVV15Re3u73G63Fi5cqC1btsjpdAb6NDY26tKlS4H95cuX68MPP9SmTZvk8Xg0Y8YMVVZWXnPDBgAADsuyrFgXcbN8Pp9cLpfmaYlGOEbGuhwAgwDrcQ2sT6xeVWuPvF7vde9b4FmFAACjEFwAAKPY/j0uABgM7Px4z66PHfnI8c+44gIAGIXgAgAYheACABiF4AIAGIXgAgAYheACABiF4AIAGIXgAgAYheACABiF4AIAGIXgAgAYheACABiF4AIAGIXgAgAYheACABiF4AIAGIXgAgAYhRWQASDK7Fq52K6VlCWzV1PmigsAYBSCCwBgFIILAGAUggsAYBSCCwBgFIILAGAUggsAYBSCCwBgFIILAGAUggsAYBSCCwBgFIILAGAUggsAYBSCCwBglIiD6/Dhw1q8eLHcbrccDocqKiqCzjscjpDbCy+8EHbMzZs3X9N+8uTJEb8YAMDgF3FwdXV1KSsrS2VlZSHPt7a2Bm3bt2+Xw+HQo48+2u+4U6dODep35MiRSEsDAAwBES8kmZ+fr/z8/LDn09PTg/b37Nmj+fPna8KECf0XMmLENX0BAPhbUf0dV1tbm9555x2tXr36um3PnDkjt9utCRMmaMWKFWppaQnbtru7Wz6fL2gDAAwNEV9xReKVV15RUlKSvvKVr/TbLjs7W+Xl5Zo0aZJaW1v1/PPPa+7cuTp16pSSkpKuaV9aWqrnn38+WmUDQFzKc8+wbax9F+ptGcfOmm5UVK+4tm/frhUrVigxMbHfdvn5+Vq2bJmmT5+uvLw87d27V+3t7dq9e3fI9hs3bpTX6w1s586di0b5AIA4FLUrrt/85jc6ffq0du3aFXHf0aNHa+LEiWpoaAh53ul0yul03myJAAADRe2K6+WXX9bMmTOVlZUVcd/Ozk41NjYqIyMjCpUBAEwWcXB1dnaqvr5e9fX1kqSmpibV19cH3Uzh8/n0xhtv6Mknnww5xoIFC7R169bA/vr163Xo0CGdPXtWNTU1Wrp0qYYPH67CwsJIywMADHIRf1R4/PhxzZ8/P7BfXFwsSSoqKlJ5ebkk6fXXX5dlWWGDp7GxUZcuXQrsnz9/XoWFhbp8+bJSU1P1wAMP6OjRo0pNTY20PADAIOewLMuKdRE3y+fzyeVyaZ6WaIRjZKzLAYC4F293FX5i9apae+T1epWcnNxvW55VCAAwCsEFADAKwQUAMArBBQAwCsEFADAKwQUAMArBBQAwCsEFADAKwQUAMArBBQAwCsEFADBKVFdABgDEJ7ueMWjXMw99HX7dOvHG2nLFBQAwCsEFADAKwQUAMArBBQAwCsEFADAKwQUAMArBBQAwCsEFADAKwQUAMArBBQAwCsEFADAKwQUAMArBBQAwCsEFADAKwQUAMArBBQAwCsEFADDKoFgB2bIsSdIn6pWsGBcDAEOIr8Nvzzidfx7n6r/n/RkUwdXR0SFJOqK9Ma4EAIaWWyfaO15HR4dcLle/bRzWjcRbnPP7/bpw4YKSkpLkcDjCtvP5fMrMzNS5c+eUnJw8gBXeHOoeWKbWLZlbO3UPrHis27IsdXR0yO12a9iw/n+LNSiuuIYNG6Y77rjjhtsnJyfHzX+sSFD3wDK1bsnc2ql7YMVb3de70rqKmzMAAEYhuAAARhlSweV0OlVSUiKn0xnrUiJC3QPL1Lolc2un7oFlat1XDYqbMwAAQ8eQuuICAJiP4AIAGIXgAgAYheACABiF4AIAGGXQBVdZWZnGjRunxMREZWdn69ixY/22f+ONNzR58mQlJiZq2rRp2rt3YJ93WFpaqlmzZikpKUljxoxRQUGBTp8+3W+f8vJyORyOoC0xMXGAKv6zzZs3X1PD5MmT++0T67mWpHHjxl1Tt8Ph0Nq1a0O2j+VcHz58WIsXL5bb7ZbD4VBFRUXQecuytGnTJmVkZGjUqFHKzc3VmTNnrjtupD8jdtbd29urDRs2aNq0abrlllvkdru1cuVKXbhwod8xP837zc66JWnVqlXX1LBo0aLrjhvL+ZYU8v3ucDj0wgsvhB1zIOb7Zgyq4Nq1a5eKi4tVUlKiuro6ZWVlKS8vTxcvXgzZvqamRoWFhVq9erVOnjypgoICFRQU6NSpUwNW86FDh7R27VodPXpU+/fvV29vrxYuXKiurq5++yUnJ6u1tTWwNTc3D1DFfzF16tSgGo4cORK2bTzMtST97ne/C6p5//79kqRly5aF7ROrue7q6lJWVpbKyspCnv/hD3+oF198US+99JLee+893XLLLcrLy9OVK1fCjhnpz4jddX/88ceqq6vTc889p7q6Or355ps6ffq0HnnkkeuOG8n7ze66r1q0aFFQDa+99lq/Y8Z6viUF1dva2qrt27fL4XDo0Ucf7XfcaM/3TbEGkdmzZ1tr164N7Pf19Vlut9sqLS0N2f6xxx6zHn744aBj2dnZ1j/90z9Ftc7+XLx40ZJkHTp0KGybHTt2WC6Xa+CKCqGkpMTKysq64fbxONeWZVlPP/20ddddd1l+vz/k+XiYa8uyLEnWW2+9Fdj3+/1Wenq69cILLwSOtbe3W06n03rttdfCjhPpz4jddYdy7NgxS5LV3Nwctk2k77ebFaruoqIia8mSJRGNE4/zvWTJEuuhhx7qt81Az3ekBs0VV09Pj06cOKHc3NzAsWHDhik3N1e1tbUh+9TW1ga1l6S8vLyw7QeC1+uVJN122239tuvs7NTYsWOVmZmpJUuW6A9/+MNAlBfkzJkzcrvdmjBhglasWKGWlpawbeNxrnt6erRz50597Wtf63dVgXiY67/V1NQkj8cTNKcul0vZ2dlh5/TT/IwMBK/XK4fDodGjR/fbLpL3W7RUV1drzJgxmjRpktasWaPLly+HbRuP893W1qZ33nlHq1evvm7beJjvcAZNcF26dEl9fX1KS0sLOp6WliaPxxOyj8fjiah9tPn9fj3zzDP64he/qHvvvTdsu0mTJmn79u3as2ePdu7cKb/frzlz5uj8+fMDVmt2drbKy8tVWVmpbdu2qampSXPnzg2sjfa34m2uJamiokLt7e1atWpV2DbxMNehXJ23SOb00/yMRNuVK1e0YcMGFRYW9vuU8kjfb9GwaNEi/fKXv1RVVZV+8IMf6NChQ8rPz1dfX1/I9vE436+88oqSkpL0la98pd928TDf/RkUy5oMFmvXrtWpU6eu+1lyTk6OcnJyAvtz5szRlClT9POf/1xbtmyJdpmSpPz8/MCfp0+fruzsbI0dO1a7d+++of+biwcvv/yy8vPz5Xa7w7aJh7kerHp7e/XYY4/Jsixt27at37bx8H57/PHHA3+eNm2apk+frrvuukvV1dVasGDBgNRws7Zv364VK1Zc9wajeJjv/gyaK66UlBQNHz5cbW1tQcfb2tqUnp4esk96enpE7aNp3bp1evvtt3Xw4MGI1haTpJEjR+q+++5TQ0NDlKq7vtGjR2vixIlha4inuZak5uZmHThwQE8++WRE/eJhriUF5i2SOf00PyPRcjW0mpubtX///ojXhLre+20gTJgwQSkpKWFriKf5lqTf/OY3On36dMTveSk+5vuvDZrgSkhI0MyZM1VVVRU45vf7VVVVFfR/zH8tJycnqL0k7d+/P2z7aLAsS+vWrdNbb72ld999V+PHj494jL6+Pr3//vvKyMiIQoU3prOzU42NjWFriIe5/ms7duzQmDFj9PDDD0fULx7mWpLGjx+v9PT0oDn1+Xx67733ws7pp/kZiYaroXXmzBkdOHBAn/3sZyMe43rvt4Fw/vx5Xb58OWwN8TLfV7388suaOXOmsrKyIu4bD/MdJNZ3h9jp9ddft5xOp1VeXm598MEH1te//nVr9OjRlsfjsSzLsv7xH//RevbZZwPtf/vb31ojRoywfvSjH1l//OMfrZKSEmvkyJHW+++/P2A1r1mzxnK5XFZ1dbXV2toa2D7++ONAm7+t+/nnn7f27dtnNTY2WidOnLAef/xxKzEx0frDH/4wYHV/85vftKqrq62mpibrt7/9rZWbm2ulpKRYFy9eDFlzPMz1VX19fdadd95pbdiw4Zpz8TTXHR0d1smTJ62TJ09akqyf/OQn1smTJwN3333/+9+3Ro8ebe3Zs8f6/e9/by1ZssQaP3689X//93+BMR566CHrZz/7WWD/ej8j0a67p6fHeuSRR6w77rjDqq+vD3rPd3d3h637eu+3aNfd0dFhrV+/3qqtrbWampqsAwcOWPfff791zz33WFeuXAlbd6zn+yqv12v93d/9nbVt27aQY8Rivm/GoAouy7Ksn/3sZ9add95pJSQkWLNnz7aOHj0aOPfggw9aRUVFQe13795tTZw40UpISLCmTp1qvfPOOwNar6SQ244dO8LW/cwzzwReY1pamvXlL3/ZqqurG9C6ly9fbmVkZFgJCQnW7bffbi1fvtxqaGgIW7NlxX6ur9q3b58lyTp9+vQ15+Jprg8ePBjyvXG1Pr/fbz333HNWWlqa5XQ6rQULFlzzmsaOHWuVlJQEHevvZyTadTc1NYV9zx88eDBs3dd7v0W77o8//thauHChlZqaao0cOdIaO3as9dRTT10TQPE231f9/Oc/t0aNGmW1t7eHHCMW830zWI8LAGCUQfM7LgDA0EBwAQCMQnABAIxCcAEAjEJwAQCMQnABAIxCcAEAjEJwAQCMQnABAIxCcAEAjEJwAQCM8v8AXtj0lxIcR5MAAAAASUVORK5CYII=", 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", 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", 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", 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" ] @@ -1131,8 +1149,7 @@ "output_type": "stream", "text": [ "Type is sphere\n", - "Times are the same, now checking parameters at each time\n", - "Parameters are the same, now checking coefficients\n" + "Times are the same, now checking parameters at each time\n" ] }, { @@ -1144,6 +1161,13 @@ "execution_count": 11, "metadata": {}, "output_type": "execute_result" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Parameters are the same, now checking coefficients\n" + ] } ], "source": [ diff --git a/Tutorials/Coefficients/read and plot coefficients.ipynb b/Tutorials/Coefficients/read and plot coefficients.ipynb index c1d1379..178e181 100644 --- a/Tutorials/Coefficients/read and plot coefficients.ipynb +++ b/Tutorials/Coefficients/read and plot coefficients.ipynb @@ -70,13 +70,13 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "id": "31b7d164", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -90,7 +90,7 @@ "data = coefs.getAllCoefs()\n", "\n", "for m in range(3):\n", - " for n in range(1,3):\n", + " for n in range(0,3):\n", " if m==0:\n", " plt.plot(times, np.real(data[m, n, :]), label='{} {}'.format(m, n))\n", " else:\n", diff --git a/Tutorials/Data/halo.cache.run0 b/Tutorials/Data/halo.cache.run0 index 3960424..af5329e 100644 Binary files a/Tutorials/Data/halo.cache.run0 and b/Tutorials/Data/halo.cache.run0 differ diff --git a/Tutorials/EXP/DiskHalo/config.yml b/Tutorials/EXP/DiskHalo/config.yml index 1282039..8e7dd53 100644 --- a/Tutorials/EXP/DiskHalo/config.yml +++ b/Tutorials/EXP/DiskHalo/config.yml @@ -39,7 +39,7 @@ Components: bodyfile : disk.bods force : id : cylinder - parameters : {acyl: 0.01, lmaxfid: 48, nmaxfid: 48, mmax: 2, hcyl: 0.002, nmax: 8, ncylodd: 2, ncylnx: 256, ncylny: 128, cachename: eof.cache.test} + parameters : {acyl: 0.01, lmaxfid: 72, nmaxfid: 64, mmax: 2, hcyl: 0.002, nmax: 8, ncylodd: 2, ncylnx: 256, ncylny: 128, cachename: eof.cache.test} # # The parameters could be expressed like this, equivalently: # diff --git a/Tutorials/EXP/Zang/config.yml b/Tutorials/EXP/Zang/config.yml index 0e9e0f4..c28f910 100644 --- a/Tutorials/EXP/Zang/config.yml +++ b/Tutorials/EXP/Zang/config.yml @@ -35,6 +35,7 @@ Components: id : flatdisk parameters: diskconf : {name: zang, parameters: {vrot: 1.0, Ninner: 4.0, Mouter: 5.0, Ri: 1.0, Ro: 11.5}} + background : {name: zang, parameters: {vrot: 1.0, Ninner: 4.0, Mouter: 5.0, Ri: 1.0, Ro: 11.5}} rcylmin : 0.01 rcylmax : 50.0 numx : 128 diff --git a/Tutorials/EXP/Zang/config_vels.yml b/Tutorials/EXP/Zang/config_vels.yml new file mode 100644 index 0000000..13c2cad --- /dev/null +++ b/Tutorials/EXP/Zang/config_vels.yml @@ -0,0 +1,85 @@ +--- +# YAML 1.2 +# See: http://yaml.org for more info. EXP uses the yaml-cpp library +# (http://github.com/jbeder/yaml-cpp) for parsing and emitting YAML +# +# ------------------------------------------------------------------------ +# These parameters control the simulation +# ------------------------------------------------------------------------ +Global: + outdir : data + dtime : 0.1 + ldlibdir : /usr/local/EXP/lib/user + infile : OUT.run0.chkpt + runtag : run0 + nsteps : 1000 + multistep : 6 + dynfracA : 0.01 + dynfracV : 0.01 + VERBOSE : 5 + cuda : false + ngpus : 4 + +# ------------------------------------------------------------------------ +# This is a sequence of components. The parameters for the force are +# now included as a parameter map, rather than a separate file. +# +# Each indented stanza beginning with '-' is a component +# ------------------------------------------------------------------------ +Components: + - name : disk + parameters : {nlevel: 1} + bodyfile : zang.bods + force : +# see src/Component.H for the available force routines + id : flatdisk + parameters: + diskconf : {name: zang, parameters: {vrot: 1.0, Ninner: 4.0, Mouter: 5.0, Ri: 1.0, Ro: 11.5}} + background : {name: zang, parameters: {vrot: 1.0, Ninner: 4.0, Mouter: 5.0, Ri: 1.0, Ro: 11.5}} + rcylmin : 0.01 + rcylmax : 50.0 + numx : 128 + numy : 64 + nmaxfid : 256 + scale : 1.0 + Lmax : 4 + nmax : 6 + EVEN_M : true + NO_MONO : true + M0_BACK : true + self_consistent: true + cachename : eof_cache_2d.50 +# + +# ------------------------------------------------------------------------ +# This is a sequence of outputs +# ------------------------------------------------------------------------ +Output: + - id : outlog + parameters : {nint: 10} + - id : outpsn + parameters : {nint: 500} + - id : outchkpt + parameters : {nint: 1000} + - id : outcoef + parameters : {nint: 10, name: disk, filename: outcoef.disk.run0 } + - id : outvel + parameters : {nint: 10, name: disk, model: file, modelname: density.model, dof: 2, mmax: 2, nmax: 4 } + +# ------------------------------------------------------------------------ +# This is a sequence of external forces +# This can be empty (or missing) +# ------------------------------------------------------------------------ +External: +# put in a rigid halo, just for stability testing +# - id: userhalo +# parameters : +# modelfile : SLGridSph.model + + +# ------------------------------------------------------------------------ +# List of interations as name1 : name2 map entries +# This can be empty (or missing) +# ------------------------------------------------------------------------ +Interaction: + diff --git a/Tutorials/EXP/cube run.ipynb b/Tutorials/EXP/cube run.ipynb index f94ea6b..a827dc3 100644 --- a/Tutorials/EXP/cube run.ipynb +++ b/Tutorials/EXP/cube run.ipynb @@ -24711,6 +24711,20 @@ "plot.camera = [-0.35, -0.8, 1.5, 0.5, 0.5, 0.5, 0, 0, 1]\n", "\n" ] + }, + { + "cell_type": "markdown", + "id": "5b319dc9", + "metadata": {}, + "source": [ + "***\n", + "\n", + "## Where do you want to go next?\n", + "\n", + "- [Return to Table of Contents](../README.ipynb)\n", + "- [Back to previous notebook](disk%20halo.ipynb)\n", + "- [Go to next notebook](zang%20disk.ipynb)\n" + ] } ], "metadata": { diff --git a/Tutorials/EXP/disk halo.ipynb b/Tutorials/EXP/disk halo.ipynb index 113d895..70aac1f 100644 --- a/Tutorials/EXP/disk halo.ipynb +++ b/Tutorials/EXP/disk halo.ipynb @@ -67,7 +67,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "id": "c48a43c6-8aed-4146-bc8e-bd1d977b342f", "metadata": {}, "outputs": [ @@ -75,143 +75,42 @@ "name": "stdout", "output_type": "stream", "text": [ + "--------------------------------------------------------------------------\n", + "WARNING: Linux kernel CMA support was requested via the\n", + "btl_vader_single_copy_mechanism MCA variable, but CMA support is\n", + "not available due to restrictive ptrace settings.\n", + "\n", + "The vader shared memory BTL will fall back on another single-copy\n", + "mechanism if one is available. This may result in lower performance.\n", + "\n", + " Local host: f9b35aac147f\n", + "--------------------------------------------------------------------------\n", "%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n", "%%%%% Node, process, and communicator assignment %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n", "%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n", " Node # | Hostname | PID | Status\n", "%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n", - " 0 | raven | 222347 | ROOT\n", - " 1 | raven | 222348 | WORKER 0\n", - " 2 | raven | 222349 | WORKER 1\n", - " 3 | raven | 222350 | WORKER 2\n", - " 4 | raven | 222351 | WORKER 3\n", - " 5 | raven | 222352 | WORKER 4\n", - " 6 | raven | 222353 | WORKER 5\n", - " 7 | raven | 222360 | WORKER 6\n", - " 8 | raven | 222362 | WORKER 7\n", - " 9 | raven | 222365 | WORKER 8\n", - " 10 | raven | 222368 | WORKER 9\n", - " 11 | raven | 222371 | WORKER 10\n", - " 12 | raven | 222373 | WORKER 11\n", - " 13 | raven | 222376 | WORKER 12\n", - "DiskType is \n", + " 0 | f9b35aac147f | 1780 | ROOT\n", + " 1 | f9b35aac147f | 1783 | WORKER 0\n", + " 2 | f9b35aac147f | 1786 | WORKER 1\n", + " 3 | f9b35aac147f | 1789 | WORKER 2\n", + " 4 | f9b35aac147f | 1792 | WORKER 3\n", + " 5 | f9b35aac147f | 1795 | WORKER 4\n", + " 6 | f9b35aac147f | 1798 | WORKER 5\n", + " 7 | f9b35aac147f | 1801 | WORKER 6\n", + " 8 | f9b35aac147f | 1804 | WORKER 7\n", + " 9 | f9b35aac147f | 1807 | WORKER 8\n", + " 10 | f9b35aac147f | 1810 | WORKER 9\n", + " 11 | f9b35aac147f | 1813 | WORKER 10\n", + " 12 | f9b35aac147f | 1816 | WORKER 11\n", + " 13 | f9b35aac147f | 1819 | WORKER 12\n", + "---- DiskType is \n", "---- Number of threads=1\n", "---- Maximum # threads=1\n", "---- SLGridSph::ReadH5Cache: successfully read basis cache <.slgrid_sph_cache>\n", "---- EmpCylSL::make_sl(): making SLGridSph with model\n", - "\n", - "Quadrature loop progress\n", - "\n", - "0% 10 20 30 40 50 60 70 80 90 100%\n", - "|----|----|----|----|----|----|----|----|----|----|\n", - "***************************************************\n", - "\n", - " Process Completion time\n", - " ------- ---------------\n", - " 0 0\n", - " 1 0\n", - " 2 0\n", - " 3 0\n", - " 4 0\n", - " 5 0\n", - " 6 0\n", - " 7 0\n", - " 8 0\n", - " 9 0\n", - " 10 0\n", - " 11 0\n", - " 12 0\n", - " 13 0\n", - "\n", - "Process 2: completed basis in 131.483 seconds\n", - "Process 3: completed basis in 131.488 seconds\n", - "Process 5: completed basis in 131.488 seconds\n", - "Process 6: completed basis in 131.484 seconds\n", - "Process 7: completed basis in 131.488 seconds\n", - "Process 8: completed basis in 131.484 seconds\n", - "Process 1: completed basis in 131.488 seconds\n", - "Process 4: completed basis in 131.484 seconds\n", - "Process 12: completed basis in 131.484 seconds\n", - "Process 11: completed basis in 131.489 seconds\n", - "Process 13: completed basis in 131.49 seconds\n", - "Process 10: completed basis in 131.489 seconds\n", - "Process 9: completed basis in 131.496 seconds\n", - "---- EmpCylSL::cache_grid: cache file exists\n", - "---- EmpCylSL::cache_grid: existing file backed up to \n", - "---- EmpCylSL::WriteH5Cache: wrote \n", - "Process 0: completed basis in 131.553 seconds\n", - "Initializing for a SINGLE-MASS halo . . . done\n", - "Generating halo coordinates . . . \n", - " ***** min(r)=0.000694815 max(r)=1.99988\n", - " (x, y, z)=(0.000310363, 0.000376549, 0.00193222)\n", - "done\n", - "Generating disk coordinates . . . \n", - " ***** min(r)=0.000122959 max(r)=0.131088\n", - " ***** (x, y, z)=(-7.01295e-05, 9.23864e-06, 1.19417e-06)\n", - "done\n", - "Beginning halo accumulation . . . done\n", - "Beginning disk accumulation . . . done\n", - "Making disk coefficients . . . done\n", - "Reexpand . . . done\n", - "Generating halo velocities . . . \n", - "[table] (u, v, w)=(0.00434421, -0.00150984, -0.00288594)\n", - "Velocity calls: Eddington=60000 Jeans=0\n", - "done\n", - "Generating disk velocities . . . \n", - "\n", - "Table disk epi parameters:\n", - " RDMIN=0.0001\n", - " maxr=0.131153\n", - " maxz=0.032\n", - " Xmin=-9.21034\n", - " Xmax=-2.03139\n", - " dR=0.00898492\n", - " dZ=4.00501e-05\n", - "\n", - "Nzero=13/50\n", - "Nzero=220/800\n", - "\n", - " *** Processor phi angles *** \n", - "# 0: 0 1\n", - "# 1: 1 2\n", - "# 2: 2 3\n", - "# 3: 3 4\n", - "# 4: 4 5\n", - "# 5: 5 6\n", - "# 6: 6 7\n", - "# 7: 7 8\n", - "# 8: 0 0\n", - "# 9: 0 0\n", - "# 10: 0 0\n", - "# 11: 0 0\n", - "# 12: 0 0\n", - "# 13: 0 0\n", - "NZEPI=17/800\n", - "[table] ***** (u, v, w)=(-1.86416e-05, 0.000237405, 0.000132578)\n", - " ***** maxVZ=0.36638 (0.000736468), maxVR=5.73656 (9.25592e-05), maxVP=1.43414 (9.25592e-05)\n", - " ***** # adrift overrides=704\n", - "done\n", - "Writing phase space file for halo . . . done\n", - "Writing phase space file for disk . . . done\n", - "\n", - "****************************\n", - " KE_halo = 0.970915\n", - " KE_disk = 0.0522711\n", - "\n", - " PE_halo(halo) = -1.7129\n", - " PE_halo(disk) = -0.304771\n", - " PE_disk(disk) = -0.0683723\n", - " PE_disk(halo) = -0.0383231\n", - "\n", - "-2T/W_halo = 0.962412\n", - "-2T/W_disk = 0.979819\n", - "\n", - " Halo mass=1.325 Disk mass=0.05\n", - "\n", - " KE = 1.02319\n", - " PE = -2.12437\n", - " -2T/W = 0.963286\n", - "****************************\n" + "[f9b35aac147f:01775] 13 more processes have sent help message help-btl-vader.txt / cma-permission-denied\n", + "[f9b35aac147f:01775] Set MCA parameter \"orte_base_help_aggregate\" to 0 to see all help / error messages\n" ] } ], @@ -271,7 +170,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "id": "afb2096c-c8e0-4941-987d-5ee19857c286", "metadata": {}, "outputs": [ @@ -279,206 +178,18 @@ "name": "stdout", "output_type": "stream", "text": [ - "%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n", - "\n", - "# Node name PID Executable \n", - "- --------- --- ---------- \n", - "0 raven 224435 exp \n", - "1 raven 224436 exp \n", - "2 raven 224437 exp \n", - "3 raven 224438 exp \n", - "4 raven 224439 exp \n", - "5 raven 224440 exp \n", - "6 raven 224441 exp \n", - "7 raven 224444 exp \n", - "8 raven 224445 exp \n", - "9 raven 224448 exp \n", - "10 raven 224449 exp \n", - "11 raven 224451 exp \n", - "12 raven 224454 exp \n", - "13 raven 224456 exp \n", - "%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n", - "\n", - "\n", - "\n", - "%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n", - "%%%%% This is EXP 7.7.99 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n", - "%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n", - "%%%%% Repository URL | https://github.com/EXP-code/EXP %\n", - "%%%%% Current branch | ClangCompliance %\n", - "%%%%% Current commit | e735406b0be2619c015867a19c270342b35ebebe %\n", - "%%%%% Compile time | 2024-10-16 10:27:41 EDT %\n", - "%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n", - "\n", - "---- Random seed for Node 0 is: 11\n", - "---- Output path is a directory . . . good\n", - "---- Test file opened and deleted in output directory, good!\n", - "---- ComponentContainer can not find . . . will assume homogeneous cluster\n", - "---- ComponentContainer could not open , assuming a new run\n", - "---- SLGridSph::ReadH5Cache: error reading \n", - "---- SLGridSph::ReadH5Cache: HDF5 error is \n", - "---- SLGridSph::WriteH5Cache: wrote \n", - "---- Sphere parameters: \n", - "---- lmax=2\n", - "---- nmax=6\n", - "---- rmapping=0.13065\n", - "---- cmap=1\n", - "---- rmin=2e-05\n", - "---- rmax=1.95\n", - "---- logr=false\n", - "---- NO_L0=false\n", - "---- NO_L1=false\n", - "---- EVEN_L=false\n", - "---- EVEN_M=false\n", - "---- M0_ONLY=false\n", - "---- selfgrav=true\n", - "---- Sphere: biorthogonal check passed\n", - "---- Component : user specified initial center: x, y, z: 0, 0, 0\n", - "---- Component : multistep level reporting every 1 steps\n", - "---- Component : multistep noswitching is false, freezeL is false, and last step criteria is true\n", - "---- EmpCylSL::ReadH5Cache: read \n", - "---- EmpCylSL::read_cache: table forwarded to all processes\n", - "---- Cylinder parameters: \n", - "---- nmaxfid=48\n", - "---- lmaxfid=48\n", - "---- mmax=2\n", - "---- mlim=-1\n", - "---- nmax=8\n", - "---- ncylodd=2\n", - "---- rcylmin=0.001\n", - "---- rcylmax=20\n", - "---- acyl=0.01\n", - "---- hcyl=0.002\n", - "---- precond=true\n", - "---- pcavar=false\n", - "---- pcaeof=false\n", - "---- nvtk=1\n", - "---- npca=50\n", - "---- npca0=0\n", - "---- pcadiag=false\n", - "---- cachename=eof.cache.test\n", - "---- selfgrav=true\n", - "---- logarithmic=false\n", - "---- vflag=0\n", - "---- Cylinder: biorthogonal check passed\n", - "---- Component : user specified initial center: x, y, z: 0, 0, 0\n", - "---- Component : multistep level reporting every 1 steps\n", - "---- Component : multistep noswitching is false, freezeL is false, and last step criteria is true\n", - "\n", - "Using the following component interation list:\n", - "-----------------------------------------------------------------------\n", - "dark halo acts on star disk\n", - "-----------------------------------------------------------------------\n", - "star disk acts on dark halo\n", - "-----------------------------------------------------------------------\n", - "\n", - "\n", - "ExternalCollection:\n", - "-----------------------------------------------------------------------\n", - "scandir: No such file or directory\n", - "scandir: No such file or directory\n", - "scandir: No such file or directory\n", - "scandir: No such file or directory\n", - "scandir: No such file or directory\n", - "scandir: No such file or directory\n", - "scandir: No such file or directory\n", - "scandir: No such file or directory\n", - "scandir: No such file or directory\n", - "scandir: No such file or directory\n", - "scandir: No such file or directory\n", - "scandir: No such file or directory\n", - "scandir: No such file or directory\n", - "scandir: No such file or directory\n", - "Loaded user libraries <>\n", - "-----------------------------------------------------------------------\n", - "Available user routines are <>\n", - "-----------------------------------------------------------------------\n", - "\n", - "------------------------------------------------------------------------\n", - "No external force entries\n", - "------------------------------------------------------------------------\n", - "OutCHKPT::Run(): error unlinking old backup file , it may not exist\n", - "OutCHKPT: renaming backup file , it may not exist\n", - "\n", - "----------------------------------------------------------------------\n", - "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.8%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.3258e-01 sec\n", - "--- Collate = 1.3818e-02 sec\n", - "----------------------------------------------------------------------\n", - "\n", - "----------------------------------------------------------------------\n", - "--- Multistepping overrun\n", - "--- Min DT=3.019475e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.408675e-02 > 2.000000e-03 [41874]\n", - "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41874/60000\n", - " Component | high: 0/20000\n", - "----------------------------------------------------------------------\n", - "\n", - "----------------------------------------------------------------------\n", - "--- Timer info [T=0.002] ---------------------------------------------\n", - "----------------------------------------------------------------------\n", - "Drift : 0.00203138 [ 0.00 %]\n", - "Velocity : 0.0119635 [ 0.01 %]\n", - "Force : 11.6632 [ 12.95 %]\n", - "Coefs : 50.0268 [ 55.54 %]\n", - "Output : 0.0339827 [ 0.04 %]\n", - "Levels : 0.00259418 [ 0.00 %]\n", - "Report : 7.782e-06 [ 0.00 %]\n", - "Balance : 3.914e-06 [ 0.00 %]\n", - "Adjust : 28.3269 [ 31.45 %]\n", - "Total : 90.0685 [100.00 %]\n", - "----------------------------------------------------------------------\n", - "\n", - "----------------------------------------------------------------------\n", - "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.9%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 9.1300e-02 sec\n", - "--- Collate = 3.0716e-03 sec\n", - "----------------------------------------------------------------------\n", - "\n", - "----------------------------------------------------------------------\n", - "--- Multistepping overrun\n", - "--- Min DT=3.144419e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.407919e-02 > 2.000000e-03 [41882]\n", - "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41882/60000\n", - " Component | high: 0/20000\n", - "----------------------------------------------------------------------\n", - "\n", - "----------------------------------------------------------------------\n", - "--- Timer info [T=0.004] ---------------------------------------------\n", - "----------------------------------------------------------------------\n", - "Drift : 0.00204909 [ 0.00 %]\n", - "Velocity : 0.01164 [ 0.01 %]\n", - "Force : 12.3266 [ 13.22 %]\n", - "Coefs : 52.07 [ 55.84 %]\n", - "Output : 0.0405146 [ 0.04 %]\n", - "Levels : 0.00913156 [ 0.01 %]\n", - "Report : 1.404e-06 [ 0.00 %]\n", - "Balance : 7.76e-07 [ 0.00 %]\n", - "Adjust : 28.7942 [ 30.88 %]\n", - "Total : 93.2551 [100.00 %]\n", - "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.4%\n", + "--- Coef/DT = 5.3%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.9117e-01 sec\n", - "--- Collate = 4.0497e-03 sec\n", + "--- Update = 9.8817e-03 sec\n", + "--- Collate = 1.0700e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.407151e-02 > 2.000000e-03 [41880]\n", + "--- Max DT=2.407124e-02 > 2.000000e-03 [41880]\n", "----------------------------------------------------------------------\n", " Component | high: 41880/60000\n", " Component | high: 0/20000\n", @@ -487,125 +198,95 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.006] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00201868 [ 0.00 %]\n", - "Velocity : 0.0146033 [ 0.02 %]\n", - "Force : 10.933 [ 12.83 %]\n", - "Coefs : 47.4833 [ 55.71 %]\n", - "Output : 0.0267204 [ 0.03 %]\n", - "Levels : 0.000606925 [ 0.00 %]\n", - "Report : 1.34e-06 [ 0.00 %]\n", - "Balance : 6.17e-07 [ 0.00 %]\n", - "Adjust : 26.7761 [ 31.41 %]\n", - "Total : 85.2373 [100.00 %]\n", - "----------------------------------------------------------------------\n", - "\n", - "----------------------------------------------------------------------\n", - "--- Timer info in comp, mlevel=7--------------------------------------\n", - "----------------------------------------------------------------------\n", - " COM: 1.594910e-04\n", - " Position: 6.022908e+00\n", - " --------------------------------------------------\n", - " *** fix pos : 4.025430e+00 \n", - " --------------------------------------------------\n", - " Ang mom: 1.081665e+00\n", - " Zero: 2.200327e-02\n", - " Accel: 1.475987e+00\n", - " Interaction: 4.400127e-01\n", - " --------------------------------------------------\n", - " *** dark halo <=> star disk : 2.489194e-01\n", - " *** star disk <=> dark halo : 1.900325e-01\n", - " --------------------------------------------------\n", - " External: 6.531120e-04\n", - " Expand: 1.674514e+02\n", - " Force: 1.504000e+00\n", - " Elapsed: 3.001340e+02\n", - "----------------------------------------------------------------------\n", - "\n", - "mstep/Mstep=74/256\n", - "0 |6 1 |3 2 |7 3 |13 4 |26 \n", - "5 |53 6 |105 7 |211 8 |421 \n", + "Drift : 0.000679069 [ 0.06 %]\n", + "Velocity : 0.00312527 [ 0.26 %]\n", + "Force : 0.392649 [ 33.24 %]\n", + "Coefs : 0.14879 [ 12.60 %]\n", + "Output : 0.0122979 [ 1.04 %]\n", + "Levels : 0.000623455 [ 0.05 %]\n", + "Report : 1.404e-06 [ 0.00 %]\n", + "Balance : 8.53e-07 [ 0.00 %]\n", + "Adjust : 0.622587 [ 52.70 %]\n", + "Total : 1.1813 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 23.1%\n", + "--- Coef/DT = 5.2%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.1763e-01 sec\n", - "--- Collate = 2.1054e-03 sec\n", + "--- Update = 9.0768e-03 sec\n", + "--- Collate = 7.3506e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.993555e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.406666e-02 > 2.000000e-03 [41889]\n", + "--- Min DT=3.061323e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.406640e-02 > 2.000000e-03 [41888]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 41889/60000\n", + " Component | high: 41888/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.008] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00231523 [ 0.00 %]\n", - "Velocity : 0.0122072 [ 0.01 %]\n", - "Force : 12.7667 [ 13.08 %]\n", - "Coefs : 54.3929 [ 55.74 %]\n", - "Output : 0.0282994 [ 0.03 %]\n", - "Levels : 0.00478791 [ 0.00 %]\n", - "Report : 1.599e-06 [ 0.00 %]\n", - "Balance : 1.081e-06 [ 0.00 %]\n", - "Adjust : 30.3761 [ 31.13 %]\n", - "Total : 97.5844 [100.00 %]\n", + "Drift : 0.00118847 [ 0.09 %]\n", + "Velocity : 0.0045572 [ 0.34 %]\n", + "Force : 0.468316 [ 34.45 %]\n", + "Coefs : 0.175099 [ 12.88 %]\n", + "Output : 0.0128976 [ 0.95 %]\n", + "Levels : 0.000393417 [ 0.03 %]\n", + "Report : 1.168e-06 [ 0.00 %]\n", + "Balance : 5.72e-07 [ 0.00 %]\n", + "Adjust : 0.696116 [ 51.21 %]\n", + "Total : 1.35923 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 16.8%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.7963e-01 sec\n", - "--- Collate = 7.9196e-03 sec\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.5247e-03 sec\n", + "--- Collate = 1.0563e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.406297e-02 > 2.000000e-03 [41863]\n", + "--- Max DT=2.406272e-02 > 2.000000e-03 [41864]\n", "----------------------------------------------------------------------\n", - " Component | high: 41863/60000\n", + " Component | high: 41864/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.01] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0146655 [ 0.02 %]\n", - "Velocity : 0.0144949 [ 0.01 %]\n", - "Force : 12.6156 [ 12.94 %]\n", - "Coefs : 54.4158 [ 55.81 %]\n", - "Output : 0.0326949 [ 0.03 %]\n", - "Levels : 0.000582471 [ 0.00 %]\n", - "Report : 1.201e-06 [ 0.00 %]\n", - "Balance : 6.42e-07 [ 0.00 %]\n", - "Adjust : 30.4015 [ 31.18 %]\n", - "Total : 97.4963 [100.00 %]\n", + "Drift : 0.00106014 [ 0.08 %]\n", + "Velocity : 0.00428004 [ 0.34 %]\n", + "Force : 0.430515 [ 33.89 %]\n", + "Coefs : 0.159906 [ 12.59 %]\n", + "Output : 0.0143927 [ 1.13 %]\n", + "Levels : 0.00055173 [ 0.04 %]\n", + "Report : 1.306e-06 [ 0.00 %]\n", + "Balance : 6.95e-07 [ 0.00 %]\n", + "Adjust : 0.659025 [ 51.88 %]\n", + "Total : 1.27035 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 27.2%\n", + "--- Coef/DT = 5.1%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.8577e-02 sec\n", - "--- Collate = 1.0558e-04 sec\n", + "--- Update = 8.7295e-03 sec\n", + "--- Collate = 7.5807e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.777397e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.405835e-02 > 2.000000e-03 [41834]\n", + "--- Max DT=2.405811e-02 > 2.000000e-03 [41834]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", " Component | high: 41834/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -613,29 +294,29 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.012] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0015375 [ 0.01 %]\n", - "Velocity : 0.009871 [ 0.04 %]\n", - "Force : 3.9609 [ 14.31 %]\n", - "Coefs : 15.1767 [ 54.84 %]\n", - "Output : 0.0286294 [ 0.10 %]\n", - "Levels : 0.000649285 [ 0.00 %]\n", - "Report : 1.245e-06 [ 0.00 %]\n", - "Balance : 8.15e-07 [ 0.00 %]\n", - "Adjust : 8.49691 [ 30.70 %]\n", - "Total : 27.6761 [100.00 %]\n", + "Drift : 0.00113218 [ 0.09 %]\n", + "Velocity : 0.00437739 [ 0.35 %]\n", + "Force : 0.436732 [ 34.44 %]\n", + "Coefs : 0.162022 [ 12.78 %]\n", + "Output : 0.012421 [ 0.98 %]\n", + "Levels : 0.000425499 [ 0.03 %]\n", + "Report : 1.312e-06 [ 0.00 %]\n", + "Balance : 5.3e-07 [ 0.00 %]\n", + "Adjust : 0.650316 [ 51.28 %]\n", + "Total : 1.26807 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", + "--- Coef/DT = 5.7%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.1724e-02 sec\n", - "--- Collate = 9.3827e-05 sec\n", + "--- Update = 8.7627e-03 sec\n", + "--- Collate = 7.3257e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.406229e-02 > 2.000000e-03 [41823]\n", + "--- Max DT=2.406205e-02 > 2.000000e-03 [41823]\n", "----------------------------------------------------------------------\n", " Component | high: 41823/60000\n", " Component | high: 0/20000\n", @@ -644,29 +325,29 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.014] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00146723 [ 0.09 %]\n", - "Velocity : 0.00570975 [ 0.34 %]\n", - "Force : 0.534349 [ 31.58 %]\n", - "Coefs : 0.270301 [ 15.98 %]\n", - "Output : 0.0163243 [ 0.96 %]\n", - "Levels : 0.000353966 [ 0.02 %]\n", - "Report : 1.599e-06 [ 0.00 %]\n", - "Balance : 7.5e-07 [ 0.00 %]\n", - "Adjust : 0.862573 [ 50.98 %]\n", - "Total : 1.69186 [100.00 %]\n", + "Drift : 0.00103287 [ 0.08 %]\n", + "Velocity : 0.00459296 [ 0.35 %]\n", + "Force : 0.460435 [ 35.16 %]\n", + "Coefs : 0.168256 [ 12.85 %]\n", + "Output : 0.0118593 [ 0.91 %]\n", + "Levels : 0.000410107 [ 0.03 %]\n", + "Report : 1.194e-06 [ 0.00 %]\n", + "Balance : 5.62e-07 [ 0.00 %]\n", + "Adjust : 0.662231 [ 50.57 %]\n", + "Total : 1.3094 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.9%\n", + "--- Coef/DT = 5.0%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0001e-02 sec\n", - "--- Collate = 8.4880e-05 sec\n", + "--- Update = 8.7464e-03 sec\n", + "--- Collate = 8.5095e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.406494e-02 > 2.000000e-03 [41821]\n", + "--- Max DT=2.406468e-02 > 2.000000e-03 [41821]\n", "----------------------------------------------------------------------\n", " Component | high: 41821/60000\n", " Component | high: 0/20000\n", @@ -675,29 +356,35 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.016] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00134305 [ 0.08 %]\n", - "Velocity : 0.00587317 [ 0.35 %]\n", - "Force : 0.549578 [ 33.01 %]\n", - "Coefs : 0.233134 [ 14.00 %]\n", - "Output : 0.0161623 [ 0.97 %]\n", - "Levels : 0.000548677 [ 0.03 %]\n", - "Report : 1.394e-06 [ 0.00 %]\n", - "Balance : 1.046e-06 [ 0.00 %]\n", - "Adjust : 0.857729 [ 51.51 %]\n", - "Total : 1.66513 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.0008545 [ 0.07 %]\n", + "Velocity : 0.00378002 [ 0.30 %]\n", + "Force : 0.445835 [ 34.81 %]\n", + "Coefs : 0.163356 [ 12.76 %]\n", + "Output : 0.0116561 [ 0.91 %]\n", + "Levels : 0.000385179 [ 0.03 %]\n", + "Report : 9.47e-07 [ 0.00 %]\n", + "Balance : 4.98e-07 [ 0.00 %]\n", + "Adjust : 0.654325 [ 51.09 %]\n", + "Total : 1.2807 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.9%\n", + "--- Coef/DT = 6.4%\n", "--- Adj/Tot = 1.4%\n", - "--- Update = 1.1399e-02 sec\n", - "--- Collate = 8.7677e-05 sec\n", + "--- Update = 8.2789e-03 sec\n", + "--- Collate = 9.0633e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.406715e-02 > 2.000000e-03 [41810]\n", + "--- Max DT=2.406686e-02 > 2.000000e-03 [41810]\n", "----------------------------------------------------------------------\n", " Component | high: 41810/60000\n", " Component | high: 0/20000\n", @@ -706,29 +393,29 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.018] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00146032 [ 0.07 %]\n", - "Velocity : 0.00657273 [ 0.30 %]\n", - "Force : 0.581176 [ 26.24 %]\n", - "Coefs : 0.391164 [ 17.66 %]\n", - "Output : 0.0201249 [ 0.91 %]\n", - "Levels : 0.00127148 [ 0.06 %]\n", - "Report : 1.185e-06 [ 0.00 %]\n", - "Balance : 6.98e-07 [ 0.00 %]\n", - "Adjust : 1.21194 [ 54.73 %]\n", - "Total : 2.21452 [100.00 %]\n", + "Drift : 0.000850232 [ 0.07 %]\n", + "Velocity : 0.00399054 [ 0.31 %]\n", + "Force : 0.446642 [ 34.59 %]\n", + "Coefs : 0.165456 [ 12.82 %]\n", + "Output : 0.0118792 [ 0.92 %]\n", + "Levels : 0.000364027 [ 0.03 %]\n", + "Report : 1.064e-06 [ 0.00 %]\n", + "Balance : 5.9e-07 [ 0.00 %]\n", + "Adjust : 0.661361 [ 51.22 %]\n", + "Total : 1.29109 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.9%\n", + "--- Coef/DT = 6.4%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 1.6374e-02 sec\n", - "--- Collate = 7.5743e-05 sec\n", + "--- Update = 8.6956e-03 sec\n", + "--- Collate = 9.7506e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.407071e-02 > 2.000000e-03 [41809]\n", + "--- Max DT=2.407043e-02 > 2.000000e-03 [41809]\n", "----------------------------------------------------------------------\n", " Component | high: 41809/60000\n", " Component | high: 0/20000\n", @@ -737,29 +424,29 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.02] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00143692 [ 0.08 %]\n", - "Velocity : 0.00728185 [ 0.39 %]\n", - "Force : 0.580826 [ 30.95 %]\n", - "Coefs : 0.257188 [ 13.71 %]\n", - "Output : 0.159225 [ 8.49 %]\n", - "Levels : 0.00066517 [ 0.04 %]\n", - "Report : 1.03e-06 [ 0.00 %]\n", - "Balance : 8.19e-07 [ 0.00 %]\n", - "Adjust : 0.869119 [ 46.32 %]\n", - "Total : 1.87646 [100.00 %]\n", + "Drift : 0.00102973 [ 0.08 %]\n", + "Velocity : 0.00399148 [ 0.30 %]\n", + "Force : 0.428349 [ 31.88 %]\n", + "Coefs : 0.162382 [ 12.08 %]\n", + "Output : 0.0997862 [ 7.43 %]\n", + "Levels : 0.00031113 [ 0.02 %]\n", + "Report : 1.238e-06 [ 0.00 %]\n", + "Balance : 4.73e-07 [ 0.00 %]\n", + "Adjust : 0.647353 [ 48.17 %]\n", + "Total : 1.34379 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.9%\n", + "--- Coef/DT = 5.7%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.4421e-02 sec\n", - "--- Collate = 1.7413e-04 sec\n", + "--- Update = 8.8484e-03 sec\n", + "--- Collate = 7.2100e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.406947e-02 > 2.000000e-03 [41821]\n", + "--- Max DT=2.406919e-02 > 2.000000e-03 [41821]\n", "----------------------------------------------------------------------\n", " Component | high: 41821/60000\n", " Component | high: 0/20000\n", @@ -768,29 +455,29 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.022] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00172951 [ 0.10 %]\n", - "Velocity : 0.00809337 [ 0.45 %]\n", - "Force : 0.566716 [ 31.16 %]\n", - "Coefs : 0.230773 [ 12.69 %]\n", - "Output : 0.027026 [ 1.49 %]\n", - "Levels : 0.000586423 [ 0.03 %]\n", - "Report : 1.339e-06 [ 0.00 %]\n", - "Balance : 6.97e-07 [ 0.00 %]\n", - "Adjust : 0.982999 [ 54.05 %]\n", - "Total : 1.81862 [100.00 %]\n", + "Drift : 0.00121992 [ 0.09 %]\n", + "Velocity : 0.00475102 [ 0.37 %]\n", + "Force : 0.430018 [ 33.48 %]\n", + "Coefs : 0.162023 [ 12.61 %]\n", + "Output : 0.0146043 [ 1.14 %]\n", + "Levels : 0.000378943 [ 0.03 %]\n", + "Report : 1.41e-06 [ 0.00 %]\n", + "Balance : 5.58e-07 [ 0.00 %]\n", + "Adjust : 0.670894 [ 52.23 %]\n", + "Total : 1.28452 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.7%\n", + "--- Coef/DT = 6.3%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0047e-02 sec\n", - "--- Collate = 2.5356e-04 sec\n", + "--- Update = 8.1798e-03 sec\n", + "--- Collate = 7.8201e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.406140e-02 > 2.000000e-03 [41825]\n", + "--- Max DT=2.406121e-02 > 2.000000e-03 [41825]\n", "----------------------------------------------------------------------\n", " Component | high: 41825/60000\n", " Component | high: 0/20000\n", @@ -799,29 +486,29 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.024] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00171578 [ 0.09 %]\n", - "Velocity : 0.00770319 [ 0.43 %]\n", - "Force : 0.542261 [ 29.99 %]\n", - "Coefs : 0.29201 [ 16.15 %]\n", - "Output : 0.0220698 [ 1.22 %]\n", - "Levels : 0.000530315 [ 0.03 %]\n", - "Report : 1.048e-06 [ 0.00 %]\n", - "Balance : 8.39e-07 [ 0.00 %]\n", - "Adjust : 0.941276 [ 52.05 %]\n", - "Total : 1.80835 [100.00 %]\n", + "Drift : 0.000980013 [ 0.08 %]\n", + "Velocity : 0.00405969 [ 0.32 %]\n", + "Force : 0.435873 [ 34.32 %]\n", + "Coefs : 0.16177 [ 12.74 %]\n", + "Output : 0.0126579 [ 1.00 %]\n", + "Levels : 0.000463976 [ 0.04 %]\n", + "Report : 1.397e-06 [ 0.00 %]\n", + "Balance : 5.97e-07 [ 0.00 %]\n", + "Adjust : 0.653742 [ 51.47 %]\n", + "Total : 1.27011 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.7%\n", + "--- Coef/DT = 5.4%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 9.7786e-03 sec\n", - "--- Collate = 7.4198e-05 sec\n", + "--- Update = 8.0206e-03 sec\n", + "--- Collate = 6.7739e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.405728e-02 > 2.000000e-03 [41819]\n", + "--- Max DT=2.405711e-02 > 2.000000e-03 [41819]\n", "----------------------------------------------------------------------\n", " Component | high: 41819/60000\n", " Component | high: 0/20000\n", @@ -830,29 +517,29 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.026] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00175486 [ 0.09 %]\n", - "Velocity : 0.00825454 [ 0.43 %]\n", - "Force : 0.576949 [ 29.74 %]\n", - "Coefs : 0.262172 [ 13.51 %]\n", - "Output : 0.0221688 [ 1.14 %]\n", - "Levels : 0.000533784 [ 0.03 %]\n", - "Report : 1.093e-06 [ 0.00 %]\n", - "Balance : 8.58e-07 [ 0.00 %]\n", - "Adjust : 1.06745 [ 55.02 %]\n", - "Total : 1.94 [100.00 %]\n", + "Drift : 0.000747412 [ 0.06 %]\n", + "Velocity : 0.00328717 [ 0.28 %]\n", + "Force : 0.407724 [ 34.14 %]\n", + "Coefs : 0.151896 [ 12.72 %]\n", + "Output : 0.0101335 [ 0.85 %]\n", + "Levels : 0.000319871 [ 0.03 %]\n", + "Report : 1.312e-06 [ 0.00 %]\n", + "Balance : 5.47e-07 [ 0.00 %]\n", + "Adjust : 0.61971 [ 51.89 %]\n", + "Total : 1.19431 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 26.5%\n", + "--- Coef/DT = 5.6%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.5726e-02 sec\n", - "--- Collate = 7.8988e-05 sec\n", + "--- Update = 8.7821e-03 sec\n", + "--- Collate = 9.2942e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.405121e-02 > 2.000000e-03 [41809]\n", + "--- Max DT=2.405106e-02 > 2.000000e-03 [41809]\n", "----------------------------------------------------------------------\n", " Component | high: 41809/60000\n", " Component | high: 0/20000\n", @@ -861,29 +548,35 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.028] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00186312 [ 0.10 %]\n", - "Velocity : 0.00799561 [ 0.45 %]\n", - "Force : 0.561855 [ 31.48 %]\n", - "Coefs : 0.234764 [ 13.15 %]\n", - "Output : 0.0221656 [ 1.24 %]\n", - "Levels : 0.000544818 [ 0.03 %]\n", - "Report : 1.313e-06 [ 0.00 %]\n", - "Balance : 7.86e-07 [ 0.00 %]\n", - "Adjust : 0.954962 [ 53.50 %]\n", - "Total : 1.78494 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000786589 [ 0.06 %]\n", + "Velocity : 0.00404908 [ 0.33 %]\n", + "Force : 0.420734 [ 34.02 %]\n", + "Coefs : 0.153679 [ 12.42 %]\n", + "Output : 0.0112738 [ 0.91 %]\n", + "Levels : 0.000421185 [ 0.03 %]\n", + "Report : 1.199e-06 [ 0.00 %]\n", + "Balance : 5.42e-07 [ 0.00 %]\n", + "Adjust : 0.645396 [ 52.18 %]\n", + "Total : 1.23688 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.4%\n", - "--- Adj/Tot = 1.4%\n", - "--- Update = 9.1768e-03 sec\n", - "--- Collate = 7.9740e-05 sec\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.9971e-03 sec\n", + "--- Collate = 7.3019e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.404693e-02 > 2.000000e-03 [41807]\n", + "--- Max DT=2.404666e-02 > 2.000000e-03 [41807]\n", "----------------------------------------------------------------------\n", " Component | high: 41807/60000\n", " Component | high: 0/20000\n", @@ -892,30 +585,30 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.03] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00164804 [ 0.10 %]\n", - "Velocity : 0.00753811 [ 0.43 %]\n", - "Force : 0.531494 [ 30.65 %]\n", - "Coefs : 0.247506 [ 14.27 %]\n", - "Output : 0.020938 [ 1.21 %]\n", - "Levels : 0.000546973 [ 0.03 %]\n", - "Report : 1.541e-06 [ 0.00 %]\n", - "Balance : 6.87e-07 [ 0.00 %]\n", - "Adjust : 0.923694 [ 53.27 %]\n", - "Total : 1.7341 [100.00 %]\n", + "Drift : 0.000864963 [ 0.07 %]\n", + "Velocity : 0.00369417 [ 0.31 %]\n", + "Force : 0.402359 [ 33.87 %]\n", + "Coefs : 0.150594 [ 12.68 %]\n", + "Output : 0.0105156 [ 0.89 %]\n", + "Levels : 0.000343374 [ 0.03 %]\n", + "Report : 1.25e-06 [ 0.00 %]\n", + "Balance : 6.59e-07 [ 0.00 %]\n", + "Adjust : 0.619003 [ 52.11 %]\n", + "Total : 1.18782 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.5%\n", + "--- Coef/DT = 5.2%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 1.0074e-02 sec\n", - "--- Collate = 7.7165e-05 sec\n", + "--- Update = 8.8435e-03 sec\n", + "--- Collate = 7.7708e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.281647e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.404271e-02 > 2.000000e-03 [41804]\n", + "--- Min DT=2.062579e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.404233e-02 > 2.000000e-03 [41804]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", @@ -926,33 +619,33 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.032] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00180837 [ 0.09 %]\n", - "Velocity : 0.00747416 [ 0.37 %]\n", - "Force : 0.607585 [ 30.48 %]\n", - "Coefs : 0.302893 [ 15.20 %]\n", - "Output : 0.0254859 [ 1.28 %]\n", - "Levels : 0.000686022 [ 0.03 %]\n", - "Report : 1.037e-06 [ 0.00 %]\n", - "Balance : 5.61e-07 [ 0.00 %]\n", - "Adjust : 1.04657 [ 52.50 %]\n", - "Total : 1.99334 [100.00 %]\n", + "Drift : 0.00074372 [ 0.06 %]\n", + "Velocity : 0.00336442 [ 0.28 %]\n", + "Force : 0.399225 [ 33.52 %]\n", + "Coefs : 0.15447 [ 12.97 %]\n", + "Output : 0.0101466 [ 0.85 %]\n", + "Levels : 0.00043239 [ 0.04 %]\n", + "Report : 1.348e-06 [ 0.00 %]\n", + "Balance : 4.55e-07 [ 0.00 %]\n", + "Adjust : 0.622122 [ 52.24 %]\n", + "Total : 1.19095 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 8.0%\n", + "--- Coef/DT = 6.2%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 1.3575e-02 sec\n", - "--- Collate = 9.1821e-05 sec\n", + "--- Update = 8.0622e-03 sec\n", + "--- Collate = 7.9185e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.757803e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.403950e-02 > 2.000000e-03 [41801]\n", + "--- Min DT=2.733864e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.403908e-02 > 2.000000e-03 [41801]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 2/20000\n", + " Component | low: 1/20000\n", " Component | high: 41801/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -960,29 +653,29 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.034] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00213367 [ 0.11 %]\n", - "Velocity : 0.00898254 [ 0.45 %]\n", - "Force : 0.59602 [ 29.93 %]\n", - "Coefs : 0.257293 [ 12.92 %]\n", - "Output : 0.0249793 [ 1.25 %]\n", - "Levels : 0.000659183 [ 0.03 %]\n", - "Report : 1.297e-06 [ 0.00 %]\n", - "Balance : 7.61e-07 [ 0.00 %]\n", - "Adjust : 1.10042 [ 55.26 %]\n", - "Total : 1.99127 [100.00 %]\n", + "Drift : 0.000807185 [ 0.07 %]\n", + "Velocity : 0.00349707 [ 0.29 %]\n", + "Force : 0.417986 [ 34.17 %]\n", + "Coefs : 0.157389 [ 12.87 %]\n", + "Output : 0.0105511 [ 0.86 %]\n", + "Levels : 0.000364771 [ 0.03 %]\n", + "Report : 1.27e-06 [ 0.00 %]\n", + "Balance : 5.87e-07 [ 0.00 %]\n", + "Adjust : 0.632191 [ 51.68 %]\n", + "Total : 1.22327 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 31.6%\n", + "--- Coef/DT = 4.6%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.4364e-02 sec\n", - "--- Collate = 2.1395e-04 sec\n", + "--- Update = 8.0699e-03 sec\n", + "--- Collate = 8.5649e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.403778e-02 > 2.000000e-03 [41816]\n", + "--- Max DT=2.403736e-02 > 2.000000e-03 [41816]\n", "----------------------------------------------------------------------\n", " Component | high: 41816/60000\n", " Component | high: 0/20000\n", @@ -991,29 +684,29 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.036] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00255328 [ 0.12 %]\n", - "Velocity : 0.00949246 [ 0.46 %]\n", - "Force : 0.562977 [ 27.18 %]\n", - "Coefs : 0.290899 [ 14.05 %]\n", - "Output : 0.0300339 [ 1.45 %]\n", - "Levels : 0.000583716 [ 0.03 %]\n", - "Report : 1.506e-06 [ 0.00 %]\n", - "Balance : 8.24e-07 [ 0.00 %]\n", - "Adjust : 1.1738 [ 56.68 %]\n", - "Total : 2.071 [100.00 %]\n", + "Drift : 0.000743852 [ 0.06 %]\n", + "Velocity : 0.00339598 [ 0.29 %]\n", + "Force : 0.406286 [ 34.15 %]\n", + "Coefs : 0.152582 [ 12.83 %]\n", + "Output : 0.00959607 [ 0.81 %]\n", + "Levels : 0.000333002 [ 0.03 %]\n", + "Report : 1.166e-06 [ 0.00 %]\n", + "Balance : 6.54e-07 [ 0.00 %]\n", + "Adjust : 0.61627 [ 51.80 %]\n", + "Total : 1.18962 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 7.0%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.0201e-02 sec\n", - "--- Collate = 7.7955e-05 sec\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.8371e-03 sec\n", + "--- Collate = 7.6276e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.404014e-02 > 2.000000e-03 [41818]\n", + "--- Max DT=2.403975e-02 > 2.000000e-03 [41818]\n", "----------------------------------------------------------------------\n", " Component | high: 41818/60000\n", " Component | high: 0/20000\n", @@ -1022,123 +715,132 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.038] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00139842 [ 0.07 %]\n", - "Velocity : 0.00586764 [ 0.31 %]\n", - "Force : 0.575891 [ 30.78 %]\n", - "Coefs : 0.258773 [ 13.83 %]\n", - "Output : 0.0216377 [ 1.16 %]\n", - "Levels : 0.000592867 [ 0.03 %]\n", - "Report : 1.997e-06 [ 0.00 %]\n", - "Balance : 7.49e-07 [ 0.00 %]\n", - "Adjust : 1.00576 [ 53.76 %]\n", - "Total : 1.87076 [100.00 %]\n", + "Drift : 0.000849089 [ 0.07 %]\n", + "Velocity : 0.00411066 [ 0.33 %]\n", + "Force : 0.414564 [ 33.62 %]\n", + "Coefs : 0.156802 [ 12.72 %]\n", + "Output : 0.0119426 [ 0.97 %]\n", + "Levels : 0.000423244 [ 0.03 %]\n", + "Report : 1.281e-06 [ 0.00 %]\n", + "Balance : 5.96e-07 [ 0.00 %]\n", + "Adjust : 0.643896 [ 52.22 %]\n", + "Total : 1.2331 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.1%\n", - "--- Adj/Tot = 1.4%\n", - "--- Update = 9.6353e-03 sec\n", - "--- Collate = 8.9127e-05 sec\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.9115e-03 sec\n", + "--- Collate = 8.1121e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.404327e-02 > 2.000000e-03 [41824]\n", + "--- Max DT=2.404292e-02 > 2.000000e-03 [41825]\n", "----------------------------------------------------------------------\n", - " Component | high: 41824/60000\n", + " Component | high: 41825/60000\n", " Component | high: 0/20000\n", - "----------------------------------------------------------------------\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.04] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00151092 [ 0.07 %]\n", - "Velocity : 0.00723168 [ 0.34 %]\n", - "Force : 0.61143 [ 29.05 %]\n", - "Coefs : 0.241886 [ 11.49 %]\n", - "Output : 0.155318 [ 7.38 %]\n", - "Levels : 0.00136877 [ 0.07 %]\n", - "Report : 1.313e-06 [ 0.00 %]\n", - "Balance : 8.24e-07 [ 0.00 %]\n", - "Adjust : 1.08488 [ 51.55 %]\n", - "Total : 2.10441 [100.00 %]\n", + "Drift : 0.000891268 [ 0.07 %]\n", + "Velocity : 0.00371508 [ 0.28 %]\n", + "Force : 0.424954 [ 31.93 %]\n", + "Coefs : 0.15773 [ 11.85 %]\n", + "Output : 0.10045 [ 7.55 %]\n", + "Levels : 0.000456962 [ 0.03 %]\n", + "Report : 1.726e-06 [ 0.00 %]\n", + "Balance : 6.77e-07 [ 0.00 %]\n", + "Adjust : 0.642113 [ 48.25 %]\n", + "Total : 1.33081 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", + "--- Coef/DT = 5.3%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 1.0821e-02 sec\n", - "--- Collate = 9.1646e-05 sec\n", + "--- Update = 8.1831e-03 sec\n", + "--- Collate = 7.2639e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.404430e-02 > 2.000000e-03 [41828]\n", + "--- Max DT=2.404405e-02 > 2.000000e-03 [41827]\n", "----------------------------------------------------------------------\n", - " Component | high: 41828/60000\n", + " Component | high: 41827/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.042] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00155498 [ 0.08 %]\n", - "Velocity : 0.00740529 [ 0.38 %]\n", - "Force : 0.557684 [ 28.35 %]\n", - "Coefs : 0.274679 [ 13.97 %]\n", - "Output : 0.0240202 [ 1.22 %]\n", - "Levels : 0.000516569 [ 0.03 %]\n", - "Report : 9.57e-07 [ 0.00 %]\n", - "Balance : 6.82e-07 [ 0.00 %]\n", - "Adjust : 1.10018 [ 55.94 %]\n", - "Total : 1.96689 [100.00 %]\n", + "Drift : 0.00107466 [ 0.09 %]\n", + "Velocity : 0.00448987 [ 0.36 %]\n", + "Force : 0.416178 [ 33.69 %]\n", + "Coefs : 0.156663 [ 12.68 %]\n", + "Output : 0.01253 [ 1.01 %]\n", + "Levels : 0.000372587 [ 0.03 %]\n", + "Report : 1.105e-06 [ 0.00 %]\n", + "Balance : 5.13e-07 [ 0.00 %]\n", + "Adjust : 0.643393 [ 52.09 %]\n", + "Total : 1.23521 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.6%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.3688e-02 sec\n", - "--- Collate = 8.9009e-05 sec\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.1181e-03 sec\n", + "--- Collate = 6.6701e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.404415e-02 > 2.000000e-03 [41859]\n", + "--- Max DT=2.404382e-02 > 2.000000e-03 [41858]\n", "----------------------------------------------------------------------\n", " Component | high: 41858/60000\n", - " Component | high: 1/20000\n", + " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.044] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00136569 [ 0.08 %]\n", - "Velocity : 0.00705962 [ 0.42 %]\n", - "Force : 0.529076 [ 31.75 %]\n", - "Coefs : 0.227976 [ 13.68 %]\n", - "Output : 0.0247871 [ 1.49 %]\n", - "Levels : 0.000611503 [ 0.04 %]\n", - "Report : 1.583e-06 [ 0.00 %]\n", - "Balance : 7.87e-07 [ 0.00 %]\n", - "Adjust : 0.874988 [ 52.50 %]\n", - "Total : 1.66656 [100.00 %]\n", + "Drift : 0.000750768 [ 0.06 %]\n", + "Velocity : 0.00314528 [ 0.27 %]\n", + "Force : 0.392369 [ 33.86 %]\n", + "Coefs : 0.148815 [ 12.84 %]\n", + "Output : 0.00960828 [ 0.83 %]\n", + "Levels : 0.000417219 [ 0.04 %]\n", + "Report : 1.178e-06 [ 0.00 %]\n", + "Balance : 6.05e-07 [ 0.00 %]\n", + "Adjust : 0.603245 [ 52.06 %]\n", + "Total : 1.15878 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.6%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.9634e-03 sec\n", - "--- Collate = 7.3544e-05 sec\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.8458e-03 sec\n", + "--- Collate = 7.0030e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.403845e-02 > 2.000000e-03 [41840]\n", + "--- Min DT=3.102090e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.403810e-02 > 2.000000e-03 [41840]\n", "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", " Component | high: 41840/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -1146,29 +848,29 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.046] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00208768 [ 0.10 %]\n", - "Velocity : 0.00811787 [ 0.38 %]\n", - "Force : 0.66959 [ 31.33 %]\n", - "Coefs : 0.359191 [ 16.81 %]\n", - "Output : 0.0236727 [ 1.11 %]\n", - "Levels : 0.000655039 [ 0.03 %]\n", - "Report : 1.761e-06 [ 0.00 %]\n", - "Balance : 6.04e-07 [ 0.00 %]\n", - "Adjust : 1.07314 [ 50.21 %]\n", - "Total : 2.13722 [100.00 %]\n", + "Drift : 0.000784003 [ 0.07 %]\n", + "Velocity : 0.00352481 [ 0.30 %]\n", + "Force : 0.400402 [ 34.01 %]\n", + "Coefs : 0.149889 [ 12.73 %]\n", + "Output : 0.0103357 [ 0.88 %]\n", + "Levels : 0.000326347 [ 0.03 %]\n", + "Report : 1.016e-06 [ 0.00 %]\n", + "Balance : 4.59e-07 [ 0.00 %]\n", + "Adjust : 0.611485 [ 51.94 %]\n", + "Total : 1.17719 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", + "--- Coef/DT = 5.3%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.1900e-02 sec\n", - "--- Collate = 9.4329e-05 sec\n", + "--- Update = 8.1597e-03 sec\n", + "--- Collate = 6.5781e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.403483e-02 > 2.000000e-03 [41835]\n", + "--- Max DT=2.403425e-02 > 2.000000e-03 [41835]\n", "----------------------------------------------------------------------\n", " Component | high: 41835/60000\n", " Component | high: 0/20000\n", @@ -1177,29 +879,29 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.048] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00176756 [ 0.09 %]\n", - "Velocity : 0.00782898 [ 0.40 %]\n", - "Force : 0.57299 [ 29.31 %]\n", - "Coefs : 0.307555 [ 15.73 %]\n", - "Output : 0.0270696 [ 1.38 %]\n", - "Levels : 0.000545105 [ 0.03 %]\n", - "Report : 1.114e-06 [ 0.00 %]\n", - "Balance : 6.33e-07 [ 0.00 %]\n", - "Adjust : 1.03643 [ 53.02 %]\n", - "Total : 1.95494 [100.00 %]\n", + "Drift : 0.000857155 [ 0.07 %]\n", + "Velocity : 0.00348897 [ 0.29 %]\n", + "Force : 0.412307 [ 33.88 %]\n", + "Coefs : 0.154426 [ 12.69 %]\n", + "Output : 0.0113684 [ 0.93 %]\n", + "Levels : 0.000329128 [ 0.03 %]\n", + "Report : 1.28e-06 [ 0.00 %]\n", + "Balance : 5.49e-07 [ 0.00 %]\n", + "Adjust : 0.633563 [ 52.07 %]\n", + "Total : 1.21685 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.4%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.9800e-02 sec\n", - "--- Collate = 8.4293e-05 sec\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.7574e-03 sec\n", + "--- Collate = 8.6257e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.403694e-02 > 2.000000e-03 [41845]\n", + "--- Max DT=2.403650e-02 > 2.000000e-03 [41845]\n", "----------------------------------------------------------------------\n", " Component | high: 41845/60000\n", " Component | high: 0/20000\n", @@ -1208,30 +910,36 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.05] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00147479 [ 0.05 %]\n", - "Velocity : 0.00719543 [ 0.25 %]\n", - "Force : 0.746637 [ 26.38 %]\n", - "Coefs : 0.36811 [ 13.00 %]\n", - "Output : 0.0237636 [ 0.84 %]\n", - "Levels : 0.000676748 [ 0.02 %]\n", - "Report : 1.442e-06 [ 0.00 %]\n", - "Balance : 7.96e-07 [ 0.00 %]\n", - "Adjust : 1.68205 [ 59.42 %]\n", - "Total : 2.83073 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000908392 [ 0.07 %]\n", + "Velocity : 0.0043931 [ 0.35 %]\n", + "Force : 0.415493 [ 33.54 %]\n", + "Coefs : 0.157896 [ 12.75 %]\n", + "Output : 0.021569 [ 1.74 %]\n", + "Levels : 0.000406303 [ 0.03 %]\n", + "Report : 1.737e-06 [ 0.00 %]\n", + "Balance : 7.17e-07 [ 0.00 %]\n", + "Adjust : 0.637527 [ 51.46 %]\n", + "Total : 1.23878 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.6110e-02 sec\n", - "--- Collate = 1.0998e-04 sec\n", + "--- Coef/DT = 6.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.9165e-03 sec\n", + "--- Collate = 6.8103e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.394463e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.404635e-02 > 2.000000e-03 [41852]\n", + "--- Min DT=3.026128e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.404592e-02 > 2.000000e-03 [41852]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", @@ -1242,29 +950,29 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.052] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00190198 [ 0.06 %]\n", - "Velocity : 0.00859731 [ 0.26 %]\n", - "Force : 0.860146 [ 26.12 %]\n", - "Coefs : 0.526197 [ 15.98 %]\n", - "Output : 0.0250023 [ 0.76 %]\n", - "Levels : 0.00426414 [ 0.13 %]\n", - "Report : 1.927e-06 [ 0.00 %]\n", - "Balance : 8.5e-07 [ 0.00 %]\n", - "Adjust : 1.86545 [ 56.66 %]\n", - "Total : 3.29249 [100.00 %]\n", + "Drift : 0.00160633 [ 0.12 %]\n", + "Velocity : 0.00781927 [ 0.61 %]\n", + "Force : 0.423993 [ 32.89 %]\n", + "Coefs : 0.158537 [ 12.30 %]\n", + "Output : 0.0217253 [ 1.69 %]\n", + "Levels : 0.000546964 [ 0.04 %]\n", + "Report : 1.159e-06 [ 0.00 %]\n", + "Balance : 7.25e-07 [ 0.00 %]\n", + "Adjust : 0.674226 [ 52.30 %]\n", + "Total : 1.28906 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.1753e-02 sec\n", - "--- Collate = 1.0571e-04 sec\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.2655e-03 sec\n", + "--- Collate = 7.9834e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.405602e-02 > 2.000000e-03 [41856]\n", + "--- Max DT=2.405568e-02 > 2.000000e-03 [41856]\n", "----------------------------------------------------------------------\n", " Component | high: 41856/60000\n", " Component | high: 0/20000\n", @@ -1273,61 +981,64 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.054] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00173626 [ 0.08 %]\n", - "Velocity : 0.00797395 [ 0.35 %]\n", - "Force : 0.681577 [ 29.63 %]\n", - "Coefs : 0.349876 [ 15.21 %]\n", - "Output : 0.0247031 [ 1.07 %]\n", - "Levels : 0.000690083 [ 0.03 %]\n", - "Report : 1.123e-06 [ 0.00 %]\n", - "Balance : 5.97e-07 [ 0.00 %]\n", - "Adjust : 1.23255 [ 53.59 %]\n", - "Total : 2.29998 [100.00 %]\n", + "Drift : 0.00177107 [ 0.14 %]\n", + "Velocity : 0.0079772 [ 0.63 %]\n", + "Force : 0.419357 [ 32.97 %]\n", + "Coefs : 0.154807 [ 12.17 %]\n", + "Output : 0.0210546 [ 1.66 %]\n", + "Levels : 0.000594177 [ 0.05 %]\n", + "Report : 1.356e-06 [ 0.00 %]\n", + "Balance : 7.73e-07 [ 0.00 %]\n", + "Adjust : 0.665638 [ 52.34 %]\n", + "Total : 1.27177 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.8%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.1262e-02 sec\n", - "--- Collate = 9.3012e-05 sec\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.7065e-03 sec\n", + "--- Collate = 6.4945e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.405940e-02 > 2.000000e-03 [41855]\n", + "--- Max DT=2.405900e-02 > 2.000000e-03 [41856]\n", "----------------------------------------------------------------------\n", - " Component | high: 41855/60000\n", + " Component | high: 41856/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.056] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.001927 [ 0.08 %]\n", - "Velocity : 0.00754738 [ 0.31 %]\n", - "Force : 0.682524 [ 27.99 %]\n", - "Coefs : 0.395957 [ 16.24 %]\n", - "Output : 0.0205986 [ 0.84 %]\n", - "Levels : 0.000786412 [ 0.03 %]\n", - "Report : 1.244e-06 [ 0.00 %]\n", - "Balance : 7.42e-07 [ 0.00 %]\n", - "Adjust : 1.32826 [ 54.47 %]\n", - "Total : 2.43846 [100.00 %]\n", + "Drift : 0.00173424 [ 0.14 %]\n", + "Velocity : 0.00734395 [ 0.58 %]\n", + "Force : 0.419472 [ 33.24 %]\n", + "Coefs : 0.153231 [ 12.14 %]\n", + "Output : 0.0207373 [ 1.64 %]\n", + "Levels : 0.000552866 [ 0.04 %]\n", + "Report : 8.27e-07 [ 0.00 %]\n", + "Balance : 7.14e-07 [ 0.00 %]\n", + "Adjust : 0.658404 [ 52.17 %]\n", + "Total : 1.26203 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.1%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.4266e-02 sec\n", - "--- Collate = 1.4928e-04 sec\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.9062e-03 sec\n", + "--- Collate = 7.5537e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.405281e-02 > 2.000000e-03 [41845]\n", + "--- Min DT=3.786591e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.405225e-02 > 2.000000e-03 [41845]\n", "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", " Component | high: 41845/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -1335,32 +1046,32 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.058] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00169454 [ 0.07 %]\n", - "Velocity : 0.00724606 [ 0.28 %]\n", - "Force : 0.719422 [ 27.96 %]\n", - "Coefs : 0.360843 [ 14.02 %]\n", - "Output : 0.0221535 [ 0.86 %]\n", - "Levels : 0.000626265 [ 0.02 %]\n", - "Report : 1.651e-06 [ 0.00 %]\n", - "Balance : 9.08e-07 [ 0.00 %]\n", - "Adjust : 1.46016 [ 56.75 %]\n", - "Total : 2.57301 [100.00 %]\n", + "Drift : 0.0017017 [ 0.14 %]\n", + "Velocity : 0.00723369 [ 0.58 %]\n", + "Force : 0.400384 [ 32.18 %]\n", + "Coefs : 0.152755 [ 12.28 %]\n", + "Output : 0.0279317 [ 2.25 %]\n", + "Levels : 0.000477117 [ 0.04 %]\n", + "Report : 1.325e-06 [ 0.00 %]\n", + "Balance : 6.62e-07 [ 0.00 %]\n", + "Adjust : 0.653073 [ 52.49 %]\n", + "Total : 1.24414 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", + "--- Coef/DT = 5.2%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 1.1498e-02 sec\n", - "--- Collate = 1.1057e-04 sec\n", + "--- Update = 7.5162e-03 sec\n", + "--- Collate = 9.2151e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.503596e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.404499e-02 > 2.000000e-03 [41843]\n", + "--- Min DT=2.137066e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.404433e-02 > 2.000000e-03 [41843]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", + " Component | low: 1/60000\n", " Component | low: 1/20000\n", " Component | high: 41843/60000\n", " Component | high: 0/20000\n", @@ -1369,95 +1080,101 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.06] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00174426 [ 0.07 %]\n", - "Velocity : 0.00748218 [ 0.32 %]\n", - "Force : 0.627268 [ 26.71 %]\n", - "Coefs : 0.338818 [ 14.43 %]\n", - "Output : 0.168303 [ 7.17 %]\n", - "Levels : 0.000697488 [ 0.03 %]\n", - "Report : 9.13e-07 [ 0.00 %]\n", - "Balance : 5.92e-07 [ 0.00 %]\n", - "Adjust : 1.20321 [ 51.24 %]\n", - "Total : 2.34837 [100.00 %]\n", + "Drift : 0.00177695 [ 0.13 %]\n", + "Velocity : 0.0070584 [ 0.53 %]\n", + "Force : 0.407117 [ 30.54 %]\n", + "Coefs : 0.148457 [ 11.14 %]\n", + "Output : 0.128601 [ 9.65 %]\n", + "Levels : 0.000566468 [ 0.04 %]\n", + "Report : 1.212e-06 [ 0.00 %]\n", + "Balance : 5.82e-07 [ 0.00 %]\n", + "Adjust : 0.638756 [ 47.92 %]\n", + "Total : 1.3329 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.8%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.7640e-02 sec\n", - "--- Collate = 1.7822e-04 sec\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.5835e-03 sec\n", + "--- Collate = 7.1840e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.403536e-02 > 2.000000e-03 [41826]\n", + "--- Min DT=3.264776e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.403506e-02 > 2.000000e-03 [41827]\n", "----------------------------------------------------------------------\n", - " Component | high: 41826/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41827/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.062] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0018279 [ 0.06 %]\n", - "Velocity : 0.00690649 [ 0.24 %]\n", - "Force : 0.845087 [ 29.93 %]\n", - "Coefs : 0.435214 [ 15.41 %]\n", - "Output : 0.0236177 [ 0.84 %]\n", - "Levels : 0.000720076 [ 0.03 %]\n", - "Report : 2.063e-06 [ 0.00 %]\n", - "Balance : 1.033e-06 [ 0.00 %]\n", - "Adjust : 1.50941 [ 53.45 %]\n", - "Total : 2.82376 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00177662 [ 0.14 %]\n", + "Velocity : 0.00745846 [ 0.59 %]\n", + "Force : 0.413039 [ 32.52 %]\n", + "Coefs : 0.15639 [ 12.31 %]\n", + "Output : 0.0210107 [ 1.65 %]\n", + "Levels : 0.00050972 [ 0.04 %]\n", + "Report : 1.158e-06 [ 0.00 %]\n", + "Balance : 7.67e-07 [ 0.00 %]\n", + "Adjust : 0.669197 [ 52.69 %]\n", + "Total : 1.26996 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.0%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.1730e-02 sec\n", - "--- Collate = 9.2930e-05 sec\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.0590e-03 sec\n", + "--- Collate = 6.1835e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.141394e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.402475e-02 > 2.000000e-03 [41817]\n", + "--- Max DT=2.402471e-02 > 2.000000e-03 [41818]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41817/60000\n", + " Component | high: 41818/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.064] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00142792 [ 0.06 %]\n", - "Velocity : 0.00701247 [ 0.32 %]\n", - "Force : 0.663233 [ 30.04 %]\n", - "Coefs : 0.324767 [ 14.71 %]\n", - "Output : 0.0183954 [ 0.83 %]\n", - "Levels : 0.00064643 [ 0.03 %]\n", - "Report : 1.494e-06 [ 0.00 %]\n", - "Balance : 1.098e-06 [ 0.00 %]\n", - "Adjust : 1.19169 [ 53.97 %]\n", - "Total : 2.20815 [100.00 %]\n", + "Drift : 0.00169485 [ 0.14 %]\n", + "Velocity : 0.00711574 [ 0.58 %]\n", + "Force : 0.402197 [ 32.86 %]\n", + "Coefs : 0.150239 [ 12.28 %]\n", + "Output : 0.0200275 [ 1.64 %]\n", + "Levels : 0.000459181 [ 0.04 %]\n", + "Report : 1.062e-06 [ 0.00 %]\n", + "Balance : 5.51e-07 [ 0.00 %]\n", + "Adjust : 0.641537 [ 52.42 %]\n", + "Total : 1.22386 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.1%\n", + "--- Coef/DT = 4.9%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 1.7305e-02 sec\n", - "--- Collate = 1.0988e-04 sec\n", + "--- Update = 7.6900e-03 sec\n", + "--- Collate = 7.3609e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.281205e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.402014e-02 > 2.000000e-03 [41818]\n", + "--- Min DT=3.346879e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.402021e-02 > 2.000000e-03 [41818]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", @@ -1468,29 +1185,29 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.066] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00165736 [ 0.08 %]\n", - "Velocity : 0.00659194 [ 0.30 %]\n", - "Force : 0.684508 [ 31.07 %]\n", - "Coefs : 0.317254 [ 14.40 %]\n", - "Output : 0.0183916 [ 0.83 %]\n", - "Levels : 0.000745823 [ 0.03 %]\n", - "Report : 1.823e-06 [ 0.00 %]\n", - "Balance : 1.185e-06 [ 0.00 %]\n", - "Adjust : 1.17333 [ 53.25 %]\n", - "Total : 2.20335 [100.00 %]\n", + "Drift : 0.00168467 [ 0.13 %]\n", + "Velocity : 0.0080657 [ 0.62 %]\n", + "Force : 0.423315 [ 32.70 %]\n", + "Coefs : 0.157779 [ 12.19 %]\n", + "Output : 0.0289396 [ 2.24 %]\n", + "Levels : 0.000835233 [ 0.06 %]\n", + "Report : 1.339e-06 [ 0.00 %]\n", + "Balance : 5.89e-07 [ 0.00 %]\n", + "Adjust : 0.673192 [ 52.01 %]\n", + "Total : 1.29442 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.4%\n", + "--- Coef/DT = 5.5%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 1.7517e-02 sec\n", - "--- Collate = 1.0031e-04 sec\n", + "--- Update = 8.2188e-03 sec\n", + "--- Collate = 9.0884e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.402356e-02 > 2.000000e-03 [41825]\n", + "--- Max DT=2.402365e-02 > 2.000000e-03 [41825]\n", "----------------------------------------------------------------------\n", " Component | high: 41825/60000\n", " Component | high: 0/20000\n", @@ -1499,33 +1216,30 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.068] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00140703 [ 0.06 %]\n", - "Velocity : 0.00586464 [ 0.24 %]\n", - "Force : 0.648894 [ 26.60 %]\n", - "Coefs : 0.570504 [ 23.39 %]\n", - "Output : 0.0170609 [ 0.70 %]\n", - "Levels : 0.000686886 [ 0.03 %]\n", - "Report : 1.748e-06 [ 0.00 %]\n", - "Balance : 1.115e-06 [ 0.00 %]\n", - "Adjust : 1.19401 [ 48.95 %]\n", - "Total : 2.4393 [100.00 %]\n", + "Drift : 0.00122941 [ 0.10 %]\n", + "Velocity : 0.00429513 [ 0.34 %]\n", + "Force : 0.44346 [ 35.04 %]\n", + "Coefs : 0.159544 [ 12.61 %]\n", + "Output : 0.0118215 [ 0.93 %]\n", + "Levels : 0.000383085 [ 0.03 %]\n", + "Report : 1.219e-06 [ 0.00 %]\n", + "Balance : 4.14e-07 [ 0.00 %]\n", + "Adjust : 0.644457 [ 50.92 %]\n", + "Total : 1.26572 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.0%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.8082e-02 sec\n", - "--- Collate = 6.9073e-05 sec\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.0137e-03 sec\n", + "--- Collate = 9.7247e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.775574e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.402756e-02 > 2.000000e-03 [41841]\n", + "--- Max DT=2.402733e-02 > 2.000000e-03 [41841]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", " Component | high: 41841/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -1533,29 +1247,29 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.07] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00171759 [ 0.08 %]\n", - "Velocity : 0.00788885 [ 0.36 %]\n", - "Force : 0.678808 [ 30.96 %]\n", - "Coefs : 0.367953 [ 16.78 %]\n", - "Output : 0.0254004 [ 1.16 %]\n", - "Levels : 0.00396466 [ 0.18 %]\n", - "Report : 1.236e-06 [ 0.00 %]\n", - "Balance : 9.22e-07 [ 0.00 %]\n", - "Adjust : 1.10582 [ 50.44 %]\n", - "Total : 2.19234 [100.00 %]\n", + "Drift : 0.000791463 [ 0.07 %]\n", + "Velocity : 0.00304729 [ 0.25 %]\n", + "Force : 0.413609 [ 34.48 %]\n", + "Coefs : 0.154174 [ 12.85 %]\n", + "Output : 0.0100831 [ 0.84 %]\n", + "Levels : 0.000312573 [ 0.03 %]\n", + "Report : 1.201e-06 [ 0.00 %]\n", + "Balance : 6.66e-07 [ 0.00 %]\n", + "Adjust : 0.61697 [ 51.44 %]\n", + "Total : 1.19945 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", + "--- Coef/DT = 5.7%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.4467e-02 sec\n", - "--- Collate = 1.5135e-04 sec\n", + "--- Update = 8.5006e-03 sec\n", + "--- Collate = 7.2742e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.403458e-02 > 2.000000e-03 [41860]\n", + "--- Max DT=2.403421e-02 > 2.000000e-03 [41860]\n", "----------------------------------------------------------------------\n", " Component | high: 41860/60000\n", " Component | high: 0/20000\n", @@ -1564,61 +1278,73 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.072] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00190828 [ 0.08 %]\n", - "Velocity : 0.00836554 [ 0.36 %]\n", - "Force : 0.638606 [ 27.57 %]\n", - "Coefs : 0.372248 [ 16.07 %]\n", - "Output : 0.0252464 [ 1.09 %]\n", - "Levels : 0.000686966 [ 0.03 %]\n", - "Report : 1.376e-06 [ 0.00 %]\n", - "Balance : 9.43e-07 [ 0.00 %]\n", - "Adjust : 1.26847 [ 54.76 %]\n", - "Total : 2.31632 [100.00 %]\n", + "Drift : 0.000787069 [ 0.06 %]\n", + "Velocity : 0.0032909 [ 0.27 %]\n", + "Force : 0.420143 [ 34.35 %]\n", + "Coefs : 0.155407 [ 12.70 %]\n", + "Output : 0.0105704 [ 0.86 %]\n", + "Levels : 0.000412401 [ 0.03 %]\n", + "Report : 1.168e-06 [ 0.00 %]\n", + "Balance : 6.19e-07 [ 0.00 %]\n", + "Adjust : 0.632208 [ 51.68 %]\n", + "Total : 1.2233 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.3127e-02 sec\n", - "--- Collate = 1.0660e-04 sec\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.0791e-03 sec\n", + "--- Collate = 7.3367e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.404142e-02 > 2.000000e-03 [41846]\n", + "--- Min DT=3.762982e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.404092e-02 > 2.000000e-03 [41845]\n", "----------------------------------------------------------------------\n", - " Component | high: 41846/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41845/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.074] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00170377 [ 0.06 %]\n", - "Velocity : 0.0080707 [ 0.29 %]\n", - "Force : 0.787559 [ 28.20 %]\n", - "Coefs : 0.47874 [ 17.14 %]\n", - "Output : 0.0257601 [ 0.92 %]\n", - "Levels : 0.000683231 [ 0.02 %]\n", - "Report : 1.961e-06 [ 0.00 %]\n", - "Balance : 8.73e-07 [ 0.00 %]\n", - "Adjust : 1.48939 [ 53.33 %]\n", - "Total : 2.79277 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000745406 [ 0.06 %]\n", + "Velocity : 0.00302954 [ 0.26 %]\n", + "Force : 0.394712 [ 33.65 %]\n", + "Coefs : 0.151629 [ 12.93 %]\n", + "Output : 0.00999431 [ 0.85 %]\n", + "Levels : 0.000424563 [ 0.04 %]\n", + "Report : 1.27e-06 [ 0.00 %]\n", + "Balance : 7.19e-07 [ 0.00 %]\n", + "Adjust : 0.612023 [ 52.17 %]\n", + "Total : 1.17303 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.7%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.1290e-02 sec\n", - "--- Collate = 7.6752e-05 sec\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.8007e-03 sec\n", + "--- Collate = 8.3127e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.405822e-02 > 2.000000e-03 [41841]\n", + "--- Min DT=3.123764e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.405719e-02 > 2.000000e-03 [41841]\n", "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", " Component | high: 41841/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -1626,55 +1352,55 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.076] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00139187 [ 0.07 %]\n", - "Velocity : 0.00697841 [ 0.33 %]\n", - "Force : 0.652148 [ 30.57 %]\n", - "Coefs : 0.345595 [ 16.20 %]\n", - "Output : 0.0199793 [ 0.94 %]\n", - "Levels : 0.000610833 [ 0.03 %]\n", - "Report : 1.585e-06 [ 0.00 %]\n", - "Balance : 1.031e-06 [ 0.00 %]\n", - "Adjust : 1.10546 [ 51.82 %]\n", - "Total : 2.13307 [100.00 %]\n", + "Drift : 0.000846645 [ 0.07 %]\n", + "Velocity : 0.00327226 [ 0.27 %]\n", + "Force : 0.414088 [ 34.09 %]\n", + "Coefs : 0.156047 [ 12.85 %]\n", + "Output : 0.010772 [ 0.89 %]\n", + "Levels : 0.000421058 [ 0.03 %]\n", + "Report : 1.288e-06 [ 0.00 %]\n", + "Balance : 7.76e-07 [ 0.00 %]\n", + "Adjust : 0.62868 [ 51.76 %]\n", + "Total : 1.21462 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.4%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.1577e-02 sec\n", - "--- Collate = 8.6527e-05 sec\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.5367e-03 sec\n", + "--- Collate = 9.8041e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.406429e-02 > 2.000000e-03 [41852]\n", + "--- Max DT=2.406392e-02 > 2.000000e-03 [41853]\n", "----------------------------------------------------------------------\n", - " Component | high: 41852/60000\n", + " Component | high: 41853/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.078] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00173763 [ 0.09 %]\n", - "Velocity : 0.00723428 [ 0.37 %]\n", - "Force : 0.595276 [ 30.05 %]\n", - "Coefs : 0.274508 [ 13.86 %]\n", - "Output : 0.0183196 [ 0.92 %]\n", - "Levels : 0.000672568 [ 0.03 %]\n", - "Report : 1.406e-06 [ 0.00 %]\n", - "Balance : 6.77e-07 [ 0.00 %]\n", - "Adjust : 1.08212 [ 54.63 %]\n", - "Total : 1.9807 [100.00 %]\n", + "Drift : 0.000869809 [ 0.07 %]\n", + "Velocity : 0.00341922 [ 0.28 %]\n", + "Force : 0.407843 [ 33.99 %]\n", + "Coefs : 0.154133 [ 12.85 %]\n", + "Output : 0.0114509 [ 0.95 %]\n", + "Levels : 0.0005594 [ 0.05 %]\n", + "Report : 1.532e-06 [ 0.00 %]\n", + "Balance : 4.77e-07 [ 0.00 %]\n", + "Adjust : 0.621002 [ 51.76 %]\n", + "Total : 1.19976 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 4.7%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.1647e-02 sec\n", - "--- Collate = 1.0221e-04 sec\n", + "--- Update = 8.3176e-03 sec\n", + "--- Collate = 9.8142e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", @@ -1688,29 +1414,29 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.08] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00158004 [ 0.07 %]\n", - "Velocity : 0.0054058 [ 0.22 %]\n", - "Force : 0.63535 [ 26.15 %]\n", - "Coefs : 0.318618 [ 13.11 %]\n", - "Output : 0.25276 [ 10.40 %]\n", - "Levels : 0.000717024 [ 0.03 %]\n", - "Report : 1.421e-06 [ 0.00 %]\n", - "Balance : 7.72e-07 [ 0.00 %]\n", - "Adjust : 1.21429 [ 49.98 %]\n", - "Total : 2.42958 [100.00 %]\n", + "Drift : 0.000847139 [ 0.07 %]\n", + "Velocity : 0.00334595 [ 0.26 %]\n", + "Force : 0.401063 [ 31.16 %]\n", + "Coefs : 0.15002 [ 11.66 %]\n", + "Output : 0.115924 [ 9.01 %]\n", + "Levels : 0.000408763 [ 0.03 %]\n", + "Report : 1.293e-06 [ 0.00 %]\n", + "Balance : 6.53e-07 [ 0.00 %]\n", + "Adjust : 0.614956 [ 47.78 %]\n", + "Total : 1.28707 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.9%\n", + "--- Coef/DT = 6.0%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 1.1569e-02 sec\n", - "--- Collate = 1.0625e-04 sec\n", + "--- Update = 8.1876e-03 sec\n", + "--- Collate = 7.6512e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.405996e-02 > 2.000000e-03 [41871]\n", + "--- Max DT=2.405965e-02 > 2.000000e-03 [41871]\n", "----------------------------------------------------------------------\n", " Component | high: 41871/60000\n", " Component | high: 0/20000\n", @@ -1719,30 +1445,30 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.082] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00145433 [ 0.07 %]\n", - "Velocity : 0.00737318 [ 0.34 %]\n", - "Force : 0.650599 [ 29.74 %]\n", - "Coefs : 0.345832 [ 15.81 %]\n", - "Output : 0.0175105 [ 0.80 %]\n", - "Levels : 0.000628585 [ 0.03 %]\n", - "Report : 1.816e-06 [ 0.00 %]\n", - "Balance : 9.06e-07 [ 0.00 %]\n", - "Adjust : 1.16374 [ 53.19 %]\n", - "Total : 2.18798 [100.00 %]\n", + "Drift : 0.000929368 [ 0.08 %]\n", + "Velocity : 0.00409337 [ 0.34 %]\n", + "Force : 0.40203 [ 33.77 %]\n", + "Coefs : 0.153817 [ 12.92 %]\n", + "Output : 0.0102868 [ 0.86 %]\n", + "Levels : 0.000373905 [ 0.03 %]\n", + "Report : 1.234e-06 [ 0.00 %]\n", + "Balance : 7.34e-07 [ 0.00 %]\n", + "Adjust : 0.618465 [ 51.95 %]\n", + "Total : 1.19047 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.2081e-02 sec\n", - "--- Collate = 1.2597e-04 sec\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.8468e-03 sec\n", + "--- Collate = 7.8991e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.280955e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.405644e-02 > 2.000000e-03 [41872]\n", + "--- Min DT=1.705879e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.405628e-02 > 2.000000e-03 [41872]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", @@ -1753,125 +1479,134 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.084] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00150925 [ 0.07 %]\n", - "Velocity : 0.00739274 [ 0.32 %]\n", - "Force : 0.669897 [ 29.23 %]\n", - "Coefs : 0.3278 [ 14.30 %]\n", - "Output : 0.0232151 [ 1.01 %]\n", - "Levels : 0.000720077 [ 0.03 %]\n", - "Report : 1.163e-06 [ 0.00 %]\n", - "Balance : 7.2e-07 [ 0.00 %]\n", - "Adjust : 1.2606 [ 55.00 %]\n", - "Total : 2.29197 [100.00 %]\n", + "Drift : 0.000835706 [ 0.07 %]\n", + "Velocity : 0.00344881 [ 0.28 %]\n", + "Force : 0.411999 [ 33.81 %]\n", + "Coefs : 0.153125 [ 12.57 %]\n", + "Output : 0.011685 [ 0.96 %]\n", + "Levels : 0.000369129 [ 0.03 %]\n", + "Report : 1.156e-06 [ 0.00 %]\n", + "Balance : 6.74e-07 [ 0.00 %]\n", + "Adjust : 0.636622 [ 52.24 %]\n", + "Total : 1.21864 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 2.1633e-02 sec\n", - "--- Collate = 8.0309e-05 sec\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 9.1066e-03 sec\n", + "--- Collate = 8.5278e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.405579e-02 > 2.000000e-03 [41907]\n", + "--- Min DT=3.354250e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.405626e-02 > 2.000000e-03 [41907]\n", "----------------------------------------------------------------------\n", - " Component | high: 41906/60000\n", - " Component | high: 1/20000\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41907/60000\n", + " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.086] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00196566 [ 0.08 %]\n", - "Velocity : 0.00832549 [ 0.36 %]\n", - "Force : 0.706759 [ 30.40 %]\n", - "Coefs : 0.355852 [ 15.31 %]\n", - "Output : 0.0323131 [ 1.39 %]\n", - "Levels : 0.000743017 [ 0.03 %]\n", - "Report : 1.231e-06 [ 0.00 %]\n", - "Balance : 7.23e-07 [ 0.00 %]\n", - "Adjust : 1.21817 [ 52.39 %]\n", - "Total : 2.325 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000841586 [ 0.07 %]\n", + "Velocity : 0.00355194 [ 0.30 %]\n", + "Force : 0.402477 [ 33.46 %]\n", + "Coefs : 0.156752 [ 13.03 %]\n", + "Output : 0.0109218 [ 0.91 %]\n", + "Levels : 0.000340887 [ 0.03 %]\n", + "Report : 1.677e-06 [ 0.00 %]\n", + "Balance : 6.35e-07 [ 0.00 %]\n", + "Adjust : 0.627651 [ 52.17 %]\n", + "Total : 1.20303 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.4%\n", + "--- Coef/DT = 5.5%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 2.4733e-02 sec\n", - "--- Collate = 8.6039e-05 sec\n", + "--- Update = 8.3897e-03 sec\n", + "--- Collate = 9.4676e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.405700e-02 > 2.000000e-03 [41919]\n", + "--- Max DT=2.405719e-02 > 2.000000e-03 [41918]\n", "----------------------------------------------------------------------\n", - " Component | high: 41919/60000\n", + " Component | high: 41918/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.088] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00207879 [ 0.07 %]\n", - "Velocity : 0.00826842 [ 0.29 %]\n", - "Force : 0.781112 [ 27.11 %]\n", - "Coefs : 0.418097 [ 14.51 %]\n", - "Output : 0.0273503 [ 0.95 %]\n", - "Levels : 0.000753962 [ 0.03 %]\n", - "Report : 1.26e-06 [ 0.00 %]\n", - "Balance : 8.39e-07 [ 0.00 %]\n", - "Adjust : 1.64324 [ 57.02 %]\n", - "Total : 2.88168 [100.00 %]\n", + "Drift : 0.00105388 [ 0.09 %]\n", + "Velocity : 0.00387588 [ 0.32 %]\n", + "Force : 0.41087 [ 33.91 %]\n", + "Coefs : 0.152679 [ 12.60 %]\n", + "Output : 0.0119961 [ 0.99 %]\n", + "Levels : 0.00049053 [ 0.04 %]\n", + "Report : 1.28e-06 [ 0.00 %]\n", + "Balance : 8.02e-07 [ 0.00 %]\n", + "Adjust : 0.63023 [ 52.01 %]\n", + "Total : 1.21171 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.8%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0568e-02 sec\n", - "--- Collate = 9.3732e-05 sec\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 8.7038e-03 sec\n", + "--- Collate = 7.5519e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.845182e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.405925e-02 > 2.000000e-03 [41913]\n", + "--- Min DT=1.584997e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.405918e-02 > 2.000000e-03 [41912]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41913/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41912/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.09] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00163912 [ 0.06 %]\n", - "Velocity : 0.00812769 [ 0.31 %]\n", - "Force : 0.723494 [ 28.03 %]\n", - "Coefs : 0.369997 [ 14.34 %]\n", - "Output : 0.0232621 [ 0.90 %]\n", - "Levels : 0.00540633 [ 0.21 %]\n", - "Report : 1.602e-06 [ 0.00 %]\n", - "Balance : 9.22e-07 [ 0.00 %]\n", - "Adjust : 1.44834 [ 56.11 %]\n", - "Total : 2.58105 [100.00 %]\n", + "Drift : 0.000916451 [ 0.08 %]\n", + "Velocity : 0.00374031 [ 0.32 %]\n", + "Force : 0.400783 [ 33.84 %]\n", + "Coefs : 0.152759 [ 12.90 %]\n", + "Output : 0.0106291 [ 0.90 %]\n", + "Levels : 0.000401693 [ 0.03 %]\n", + "Report : 1.156e-06 [ 0.00 %]\n", + "Balance : 5.94e-07 [ 0.00 %]\n", + "Adjust : 0.614505 [ 51.89 %]\n", + "Total : 1.18426 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.8%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.5557e-02 sec\n", - "--- Collate = 9.2414e-05 sec\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.0786e-03 sec\n", + "--- Collate = 6.9677e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.405831e-02 > 2.000000e-03 [41915]\n", + "--- Max DT=2.405843e-02 > 2.000000e-03 [41915]\n", "----------------------------------------------------------------------\n", " Component | high: 41915/60000\n", " Component | high: 0/20000\n", @@ -1880,29 +1615,29 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.092] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00193471 [ 0.09 %]\n", - "Velocity : 0.00652062 [ 0.32 %]\n", - "Force : 0.639487 [ 31.19 %]\n", - "Coefs : 0.315724 [ 15.40 %]\n", - "Output : 0.0203333 [ 0.99 %]\n", - "Levels : 0.000635406 [ 0.03 %]\n", - "Report : 1.334e-06 [ 0.00 %]\n", - "Balance : 7.76e-07 [ 0.00 %]\n", - "Adjust : 1.06495 [ 51.94 %]\n", - "Total : 2.05043 [100.00 %]\n", + "Drift : 0.000820606 [ 0.07 %]\n", + "Velocity : 0.00380119 [ 0.31 %]\n", + "Force : 0.40679 [ 33.49 %]\n", + "Coefs : 0.156154 [ 12.85 %]\n", + "Output : 0.0120961 [ 1.00 %]\n", + "Levels : 0.000301439 [ 0.02 %]\n", + "Report : 1.048e-06 [ 0.00 %]\n", + "Balance : 8.65e-07 [ 0.00 %]\n", + "Adjust : 0.634338 [ 52.22 %]\n", + "Total : 1.21484 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", + "--- Coef/DT = 5.4%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.4218e-02 sec\n", - "--- Collate = 9.6871e-05 sec\n", + "--- Update = 7.9303e-03 sec\n", + "--- Collate = 6.2851e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.405644e-02 > 2.000000e-03 [41919]\n", + "--- Max DT=2.405670e-02 > 2.000000e-03 [41919]\n", "----------------------------------------------------------------------\n", " Component | high: 41919/60000\n", " Component | high: 0/20000\n", @@ -1911,29 +1646,29 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.094] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00140446 [ 0.06 %]\n", - "Velocity : 0.00703948 [ 0.31 %]\n", - "Force : 0.669975 [ 29.84 %]\n", - "Coefs : 0.347684 [ 15.49 %]\n", - "Output : 0.0178485 [ 0.79 %]\n", - "Levels : 0.000680818 [ 0.03 %]\n", - "Report : 1.451e-06 [ 0.00 %]\n", - "Balance : 8.35e-07 [ 0.00 %]\n", - "Adjust : 1.19976 [ 53.44 %]\n", - "Total : 2.24524 [100.00 %]\n", + "Drift : 0.00074592 [ 0.06 %]\n", + "Velocity : 0.00314641 [ 0.27 %]\n", + "Force : 0.39189 [ 33.76 %]\n", + "Coefs : 0.149069 [ 12.84 %]\n", + "Output : 0.00989243 [ 0.85 %]\n", + "Levels : 0.000350299 [ 0.03 %]\n", + "Report : 1.057e-06 [ 0.00 %]\n", + "Balance : 3.84e-07 [ 0.00 %]\n", + "Adjust : 0.605156 [ 52.14 %]\n", + "Total : 1.1607 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.4%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.6903e-02 sec\n", - "--- Collate = 1.0454e-04 sec\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.6898e-03 sec\n", + "--- Collate = 8.7536e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.405919e-02 > 2.000000e-03 [41929]\n", + "--- Max DT=2.405991e-02 > 2.000000e-03 [41929]\n", "----------------------------------------------------------------------\n", " Component | high: 41929/60000\n", " Component | high: 0/20000\n", @@ -1942,63 +1677,69 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.096] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00187116 [ 0.08 %]\n", - "Velocity : 0.00817981 [ 0.37 %]\n", - "Force : 0.674796 [ 30.37 %]\n", - "Coefs : 0.346575 [ 15.60 %]\n", - "Output : 0.0265698 [ 1.20 %]\n", - "Levels : 0.000621928 [ 0.03 %]\n", - "Report : 1.473e-06 [ 0.00 %]\n", - "Balance : 6.32e-07 [ 0.00 %]\n", - "Adjust : 1.16212 [ 52.31 %]\n", - "Total : 2.22162 [100.00 %]\n", + "Drift : 0.000839467 [ 0.07 %]\n", + "Velocity : 0.00426015 [ 0.34 %]\n", + "Force : 0.422773 [ 33.76 %]\n", + "Coefs : 0.162564 [ 12.98 %]\n", + "Output : 0.0127125 [ 1.02 %]\n", + "Levels : 0.000362524 [ 0.03 %]\n", + "Report : 1.186e-06 [ 0.00 %]\n", + "Balance : 5.24e-07 [ 0.00 %]\n", + "Adjust : 0.648303 [ 51.77 %]\n", + "Total : 1.25238 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.6%\n", + "--- Coef/DT = 5.5%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.3591e-02 sec\n", - "--- Collate = 1.4072e-04 sec\n", + "--- Update = 8.1257e-03 sec\n", + "--- Collate = 7.5786e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.952045e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.406495e-02 > 2.000000e-03 [41936]\n", + "--- Min DT=1.599954e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.406506e-02 > 2.000000e-03 [41937]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 41936/60000\n", + " Component | high: 41937/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.098] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.002032 [ 0.08 %]\n", - "Velocity : 0.00900618 [ 0.37 %]\n", - "Force : 0.675729 [ 28.09 %]\n", - "Coefs : 0.340831 [ 14.17 %]\n", - "Output : 0.0245612 [ 1.02 %]\n", - "Levels : 0.000687745 [ 0.03 %]\n", - "Report : 1.384e-06 [ 0.00 %]\n", - "Balance : 8.32e-07 [ 0.00 %]\n", - "Adjust : 1.35163 [ 56.19 %]\n", - "Total : 2.4053 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00073534 [ 0.06 %]\n", + "Velocity : 0.00312001 [ 0.27 %]\n", + "Force : 0.392403 [ 33.93 %]\n", + "Coefs : 0.149024 [ 12.89 %]\n", + "Output : 0.00965416 [ 0.83 %]\n", + "Levels : 0.000385684 [ 0.03 %]\n", + "Report : 1.192e-06 [ 0.00 %]\n", + "Balance : 7.21e-07 [ 0.00 %]\n", + "Adjust : 0.600601 [ 51.94 %]\n", + "Total : 1.15637 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.3%\n", + "--- Coef/DT = 7.1%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 1.5886e-02 sec\n", - "--- Collate = 9.7087e-05 sec\n", + "--- Update = 8.6464e-03 sec\n", + "--- Collate = 7.6377e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.406760e-02 > 2.000000e-03 [41935]\n", + "--- Max DT=2.406678e-02 > 2.000000e-03 [41935]\n", "----------------------------------------------------------------------\n", " Component | high: 41935/60000\n", " Component | high: 0/20000\n", @@ -2007,29 +1748,29 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.1] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00198196 [ 0.08 %]\n", - "Velocity : 0.00745632 [ 0.31 %]\n", - "Force : 0.659709 [ 26.99 %]\n", - "Coefs : 0.33458 [ 13.69 %]\n", - "Output : 0.187831 [ 7.68 %]\n", - "Levels : 0.00070372 [ 0.03 %]\n", - "Report : 1.594e-06 [ 0.00 %]\n", - "Balance : 6.79e-07 [ 0.00 %]\n", - "Adjust : 1.25145 [ 51.19 %]\n", - "Total : 2.44451 [100.00 %]\n", + "Drift : 0.000745361 [ 0.06 %]\n", + "Velocity : 0.00333682 [ 0.26 %]\n", + "Force : 0.40345 [ 31.55 %]\n", + "Coefs : 0.154609 [ 12.09 %]\n", + "Output : 0.0958519 [ 7.50 %]\n", + "Levels : 0.0003621 [ 0.03 %]\n", + "Report : 1.158e-06 [ 0.00 %]\n", + "Balance : 4.2e-07 [ 0.00 %]\n", + "Adjust : 0.620039 [ 48.48 %]\n", + "Total : 1.27887 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.1642e-02 sec\n", - "--- Collate = 9.9488e-05 sec\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.2040e-03 sec\n", + "--- Collate = 8.5412e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.406431e-02 > 2.000000e-03 [41931]\n", + "--- Max DT=2.406311e-02 > 2.000000e-03 [41931]\n", "----------------------------------------------------------------------\n", " Component | high: 41931/60000\n", " Component | high: 0/20000\n", @@ -2038,347 +1779,320 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.102] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00143993 [ 0.07 %]\n", - "Velocity : 0.00568399 [ 0.30 %]\n", - "Force : 0.584625 [ 30.40 %]\n", - "Coefs : 0.272198 [ 14.16 %]\n", - "Output : 0.0236699 [ 1.23 %]\n", - "Levels : 0.000657218 [ 0.03 %]\n", - "Report : 1.347e-06 [ 0.00 %]\n", - "Balance : 8.28e-07 [ 0.00 %]\n", - "Adjust : 1.03378 [ 53.76 %]\n", - "Total : 1.92298 [100.00 %]\n", + "Drift : 0.00102843 [ 0.09 %]\n", + "Velocity : 0.00361156 [ 0.30 %]\n", + "Force : 0.415667 [ 34.47 %]\n", + "Coefs : 0.155442 [ 12.89 %]\n", + "Output : 0.010689 [ 0.89 %]\n", + "Levels : 0.000437125 [ 0.04 %]\n", + "Report : 1.112e-06 [ 0.00 %]\n", + "Balance : 4.29e-07 [ 0.00 %]\n", + "Adjust : 0.618469 [ 51.29 %]\n", + "Total : 1.20584 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 2.1357e-02 sec\n", - "--- Collate = 9.5608e-05 sec\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.3264e-03 sec\n", + "--- Collate = 7.8023e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.911699e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.406078e-02 > 2.000000e-03 [41931]\n", + "--- Max DT=2.406017e-02 > 2.000000e-03 [41932]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", " Component | high: 41931/60000\n", - " Component | high: 0/20000\n", + " Component | high: 1/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.104] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00154654 [ 0.07 %]\n", - "Velocity : 0.00719246 [ 0.33 %]\n", - "Force : 0.648216 [ 29.57 %]\n", - "Coefs : 0.351938 [ 16.05 %]\n", - "Output : 0.028885 [ 1.32 %]\n", - "Levels : 0.000912215 [ 0.04 %]\n", - "Report : 1.491e-06 [ 0.00 %]\n", - "Balance : 9.77e-07 [ 0.00 %]\n", - "Adjust : 1.15282 [ 52.58 %]\n", - "Total : 2.19235 [100.00 %]\n", + "Drift : 0.00083199 [ 0.07 %]\n", + "Velocity : 0.00332069 [ 0.28 %]\n", + "Force : 0.40069 [ 33.79 %]\n", + "Coefs : 0.151949 [ 12.81 %]\n", + "Output : 0.0109673 [ 0.92 %]\n", + "Levels : 0.000363647 [ 0.03 %]\n", + "Report : 1.272e-06 [ 0.00 %]\n", + "Balance : 6.31e-07 [ 0.00 %]\n", + "Adjust : 0.617269 [ 52.05 %]\n", + "Total : 1.18588 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", + "--- Coef/DT = 5.4%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 3.0965e-02 sec\n", - "--- Collate = 6.8627e-05 sec\n", + "--- Update = 7.6634e-03 sec\n", + "--- Collate = 7.2664e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.405922e-02 > 2.000000e-03 [41920]\n", + "--- Min DT=2.597764e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.405897e-02 > 2.000000e-03 [41921]\n", "----------------------------------------------------------------------\n", - " Component | high: 41920/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41921/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.106] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00212983 [ 0.08 %]\n", - "Velocity : 0.00888904 [ 0.34 %]\n", - "Force : 0.70781 [ 27.32 %]\n", - "Coefs : 0.40438 [ 15.61 %]\n", - "Output : 0.0242828 [ 0.94 %]\n", - "Levels : 0.000660857 [ 0.03 %]\n", - "Report : 1.424e-06 [ 0.00 %]\n", - "Balance : 9.48e-07 [ 0.00 %]\n", - "Adjust : 1.44163 [ 55.65 %]\n", - "Total : 2.59064 [100.00 %]\n", - "----------------------------------------------------------------------\n", - "\n", - "----------------------------------------------------------------------\n", - "--- Timer info in comp, mlevel=3--------------------------------------\n", - "----------------------------------------------------------------------\n", - " COM: 1.279415e-03\n", - " Position: 6.955114e+00\n", - " --------------------------------------------------\n", - " *** fix pos : 5.543994e+00 \n", - " --------------------------------------------------\n", - " Ang mom: 2.881209e+00\n", - " Zero: 2.594460e-01\n", - " Accel: 1.663526e+01\n", - " Interaction: 4.446137e+00\n", - " --------------------------------------------------\n", - " *** dark halo <=> star disk : 2.386798e+00\n", - " *** star disk <=> dark halo : 2.042113e+00\n", - " --------------------------------------------------\n", - " External: 8.101337e-03\n", - " Expand: 1.231980e+02\n", - " Force: 1.697590e+01\n", - " Elapsed: 3.000075e+02\n", - "----------------------------------------------------------------------\n", - "\n", - "mstep/Mstep=224/256\n", - "0 |50 1 |51 2 |101 3 |203 4 |405 \n", - "5 |809 6 |1619 7 |3237 8 |6475 \n", + "Drift : 0.000784615 [ 0.07 %]\n", + "Velocity : 0.00381768 [ 0.32 %]\n", + "Force : 0.404673 [ 33.72 %]\n", + "Coefs : 0.153864 [ 12.82 %]\n", + "Output : 0.0109248 [ 0.91 %]\n", + "Levels : 0.00035869 [ 0.03 %]\n", + "Report : 1.373e-06 [ 0.00 %]\n", + "Balance : 4.78e-07 [ 0.00 %]\n", + "Adjust : 0.625341 [ 52.10 %]\n", + "Total : 1.20027 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.8%\n", + "--- Coef/DT = 5.6%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0319e-02 sec\n", - "--- Collate = 8.4697e-05 sec\n", + "--- Update = 8.6219e-03 sec\n", + "--- Collate = 9.5871e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.336845e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.406039e-02 > 2.000000e-03 [41940]\n", + "--- Max DT=2.405969e-02 > 2.000000e-03 [41941]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41940/60000\n", + " Component | high: 41941/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.108] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00192475 [ 0.08 %]\n", - "Velocity : 0.00821689 [ 0.34 %]\n", - "Force : 0.660435 [ 26.97 %]\n", - "Coefs : 0.43232 [ 17.66 %]\n", - "Output : 0.0244817 [ 1.00 %]\n", - "Levels : 0.000705805 [ 0.03 %]\n", - "Report : 1.486e-06 [ 0.00 %]\n", - "Balance : 1.124e-06 [ 0.00 %]\n", - "Adjust : 1.31946 [ 53.89 %]\n", - "Total : 2.44843 [100.00 %]\n", + "Drift : 0.000832883 [ 0.07 %]\n", + "Velocity : 0.00410454 [ 0.35 %]\n", + "Force : 0.405374 [ 34.17 %]\n", + "Coefs : 0.152643 [ 12.87 %]\n", + "Output : 0.0112009 [ 0.94 %]\n", + "Levels : 0.000366022 [ 0.03 %]\n", + "Report : 1.212e-06 [ 0.00 %]\n", + "Balance : 4.85e-07 [ 0.00 %]\n", + "Adjust : 0.611363 [ 51.53 %]\n", + "Total : 1.18637 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.4%\n", + "--- Coef/DT = 4.7%\n", "--- Adj/Tot = 1.4%\n", - "--- Update = 1.1034e-02 sec\n", - "--- Collate = 1.1743e-04 sec\n", + "--- Update = 8.5653e-03 sec\n", + "--- Collate = 7.0325e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.406726e-02 > 2.000000e-03 [41919]\n", + "--- Min DT=3.248577e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.406648e-02 > 2.000000e-03 [41920]\n", "----------------------------------------------------------------------\n", - " Component | high: 41919/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41920/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.11] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00156351 [ 0.06 %]\n", - "Velocity : 0.00847346 [ 0.32 %]\n", - "Force : 0.739106 [ 27.55 %]\n", - "Coefs : 0.443691 [ 16.54 %]\n", - "Output : 0.0254519 [ 0.95 %]\n", - "Levels : 0.000725422 [ 0.03 %]\n", - "Report : 1.09e-06 [ 0.00 %]\n", - "Balance : 5.82e-07 [ 0.00 %]\n", - "Adjust : 1.46282 [ 54.53 %]\n", - "Total : 2.6828 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000830532 [ 0.07 %]\n", + "Velocity : 0.00372492 [ 0.31 %]\n", + "Force : 0.406181 [ 34.00 %]\n", + "Coefs : 0.154005 [ 12.89 %]\n", + "Output : 0.0114743 [ 0.96 %]\n", + "Levels : 0.000397104 [ 0.03 %]\n", + "Report : 1.067e-06 [ 0.00 %]\n", + "Balance : 6.39e-07 [ 0.00 %]\n", + "Adjust : 0.617678 [ 51.70 %]\n", + "Total : 1.19479 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.4%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.6537e-02 sec\n", - "--- Collate = 8.0882e-05 sec\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.2077e-03 sec\n", + "--- Collate = 5.8864e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.650001e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.406858e-02 > 2.000000e-03 [41912]\n", + "--- Max DT=2.406804e-02 > 2.000000e-03 [41913]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41912/60000\n", + " Component | high: 41913/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.112] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00223362 [ 0.10 %]\n", - "Velocity : 0.00948844 [ 0.41 %]\n", - "Force : 0.660368 [ 28.39 %]\n", - "Coefs : 0.355321 [ 15.27 %]\n", - "Output : 0.0297779 [ 1.28 %]\n", - "Levels : 0.000754385 [ 0.03 %]\n", - "Report : 1.522e-06 [ 0.00 %]\n", - "Balance : 7.49e-07 [ 0.00 %]\n", - "Adjust : 1.26742 [ 54.48 %]\n", - "Total : 2.32635 [100.00 %]\n", + "Drift : 0.000857912 [ 0.07 %]\n", + "Velocity : 0.00376216 [ 0.31 %]\n", + "Force : 0.412282 [ 33.67 %]\n", + "Coefs : 0.160894 [ 13.14 %]\n", + "Output : 0.0116948 [ 0.96 %]\n", + "Levels : 0.000427118 [ 0.03 %]\n", + "Report : 1.373e-06 [ 0.00 %]\n", + "Balance : 6.13e-07 [ 0.00 %]\n", + "Adjust : 0.633978 [ 51.78 %]\n", + "Total : 1.22441 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.3%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0351e-02 sec\n", - "--- Collate = 8.4079e-05 sec\n", + "--- Coef/DT = 4.7%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.3618e-03 sec\n", + "--- Collate = 6.8691e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.406294e-02 > 2.000000e-03 [41907]\n", + "--- Max DT=2.406352e-02 > 2.000000e-03 [41908]\n", "----------------------------------------------------------------------\n", - " Component | high: 41907/60000\n", + " Component | high: 41908/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.114] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00237067 [ 0.12 %]\n", - "Velocity : 0.00910205 [ 0.46 %]\n", - "Force : 0.597105 [ 30.30 %]\n", - "Coefs : 0.27145 [ 13.78 %]\n", - "Output : 0.0306911 [ 1.56 %]\n", - "Levels : 0.000578875 [ 0.03 %]\n", - "Report : 1.055e-06 [ 0.00 %]\n", - "Balance : 7.25e-07 [ 0.00 %]\n", - "Adjust : 1.05835 [ 53.71 %]\n", - "Total : 1.97044 [100.00 %]\n", + "Drift : 0.000731638 [ 0.06 %]\n", + "Velocity : 0.00344174 [ 0.30 %]\n", + "Force : 0.393513 [ 33.75 %]\n", + "Coefs : 0.150119 [ 12.88 %]\n", + "Output : 0.0103851 [ 0.89 %]\n", + "Levels : 0.000347824 [ 0.03 %]\n", + "Report : 1.424e-06 [ 0.00 %]\n", + "Balance : 6.47e-07 [ 0.00 %]\n", + "Adjust : 0.6068 [ 52.05 %]\n", + "Total : 1.16579 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.2%\n", + "--- Coef/DT = 4.8%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 1.0444e-02 sec\n", - "--- Collate = 8.5111e-05 sec\n", + "--- Update = 8.4533e-03 sec\n", + "--- Collate = 7.7607e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.406150e-02 > 2.000000e-03 [41899]\n", + "--- Max DT=2.406219e-02 > 2.000000e-03 [41899]\n", "----------------------------------------------------------------------\n", - " Component | high: 41899/60000\n", - " Component | high: 0/20000\n", + " Component | high: 41898/60000\n", + " Component | high: 1/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.116] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00173853 [ 0.08 %]\n", - "Velocity : 0.00841573 [ 0.39 %]\n", - "Force : 0.614515 [ 28.82 %]\n", - "Coefs : 0.268205 [ 12.58 %]\n", - "Output : 0.029204 [ 1.37 %]\n", - "Levels : 0.000845682 [ 0.04 %]\n", - "Report : 1.063e-06 [ 0.00 %]\n", - "Balance : 7.28e-07 [ 0.00 %]\n", - "Adjust : 1.20877 [ 56.68 %]\n", - "Total : 2.13257 [100.00 %]\n", + "Drift : 0.000796156 [ 0.07 %]\n", + "Velocity : 0.00376771 [ 0.31 %]\n", + "Force : 0.406511 [ 33.20 %]\n", + "Coefs : 0.159362 [ 13.01 %]\n", + "Output : 0.0114262 [ 0.93 %]\n", + "Levels : 0.000359005 [ 0.03 %]\n", + "Report : 1.234e-06 [ 0.00 %]\n", + "Balance : 6.11e-07 [ 0.00 %]\n", + "Adjust : 0.641808 [ 52.41 %]\n", + "Total : 1.22449 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.3%\n", + "--- Coef/DT = 5.4%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 1.8200e-02 sec\n", - "--- Collate = 1.2432e-04 sec\n", + "--- Update = 8.1690e-03 sec\n", + "--- Collate = 7.8702e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.406402e-02 > 2.000000e-03 [41893]\n", + "--- Max DT=2.406469e-02 > 2.000000e-03 [41894]\n", "----------------------------------------------------------------------\n", - " Component | high: 41893/60000\n", + " Component | high: 41894/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.118] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00202624 [ 0.06 %]\n", - "Velocity : 0.00981949 [ 0.30 %]\n", - "Force : 0.817111 [ 24.64 %]\n", - "Coefs : 0.653831 [ 19.71 %]\n", - "Output : 0.0293255 [ 0.88 %]\n", - "Levels : 0.000820865 [ 0.02 %]\n", - "Report : 1.495e-06 [ 0.00 %]\n", - "Balance : 9.38e-07 [ 0.00 %]\n", - "Adjust : 1.80269 [ 54.35 %]\n", - "Total : 3.31663 [100.00 %]\n", + "Drift : 0.000913166 [ 0.08 %]\n", + "Velocity : 0.0036979 [ 0.31 %]\n", + "Force : 0.398374 [ 33.57 %]\n", + "Coefs : 0.155073 [ 13.07 %]\n", + "Output : 0.0107565 [ 0.91 %]\n", + "Levels : 0.000418309 [ 0.04 %]\n", + "Report : 1.395e-06 [ 0.00 %]\n", + "Balance : 5.85e-07 [ 0.00 %]\n", + "Adjust : 0.617066 [ 52.00 %]\n", + "Total : 1.18676 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.3%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.5551e-02 sec\n", - "--- Collate = 9.8908e-05 sec\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.5232e-03 sec\n", + "--- Collate = 7.1470e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.864866e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.406519e-02 > 2.000000e-03 [41910]\n", + "--- Max DT=2.406542e-02 > 2.000000e-03 [41911]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", " Component | high: 41910/60000\n", - " Component | high: 0/20000\n", + " Component | high: 1/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.12] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.002049 [ 0.07 %]\n", - "Velocity : 0.00973068 [ 0.35 %]\n", - "Force : 0.751109 [ 26.91 %]\n", - "Coefs : 0.499989 [ 17.91 %]\n", - "Output : 0.192099 [ 6.88 %]\n", - "Levels : 0.000858185 [ 0.03 %]\n", - "Report : 1.973e-06 [ 0.00 %]\n", - "Balance : 1.041e-06 [ 0.00 %]\n", - "Adjust : 1.33441 [ 47.81 %]\n", - "Total : 2.79106 [100.00 %]\n", + "Drift : 0.000720065 [ 0.06 %]\n", + "Velocity : 0.00335151 [ 0.26 %]\n", + "Force : 0.395969 [ 30.69 %]\n", + "Coefs : 0.151627 [ 11.75 %]\n", + "Output : 0.133725 [ 10.36 %]\n", + "Levels : 0.000464642 [ 0.04 %]\n", + "Report : 1.328e-06 [ 0.00 %]\n", + "Balance : 5.17e-07 [ 0.00 %]\n", + "Adjust : 0.604111 [ 46.82 %]\n", + "Total : 1.2904 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.4%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.7379e-02 sec\n", - "--- Collate = 4.7454e-05 sec\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.6758e-03 sec\n", + "--- Collate = 8.2057e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.405928e-02 > 2.000000e-03 [41910]\n", + "--- Max DT=2.406058e-02 > 2.000000e-03 [41910]\n", "----------------------------------------------------------------------\n", " Component | high: 41910/60000\n", " Component | high: 0/20000\n", @@ -2387,129 +2101,132 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.122] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00254337 [ 0.10 %]\n", - "Velocity : 0.0095116 [ 0.36 %]\n", - "Force : 0.760183 [ 28.79 %]\n", - "Coefs : 0.40614 [ 15.38 %]\n", - "Output : 0.0291925 [ 1.11 %]\n", - "Levels : 0.000619254 [ 0.02 %]\n", - "Report : 1.432e-06 [ 0.00 %]\n", - "Balance : 6.6e-07 [ 0.00 %]\n", - "Adjust : 1.43147 [ 54.21 %]\n", - "Total : 2.64051 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00128532 [ 0.10 %]\n", + "Velocity : 0.00576458 [ 0.44 %]\n", + "Force : 0.455033 [ 34.68 %]\n", + "Coefs : 0.166882 [ 12.72 %]\n", + "Output : 0.0149281 [ 1.14 %]\n", + "Levels : 0.000371205 [ 0.03 %]\n", + "Report : 1.156e-06 [ 0.00 %]\n", + "Balance : 4.85e-07 [ 0.00 %]\n", + "Adjust : 0.667326 [ 50.86 %]\n", + "Total : 1.3122 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", + "--- Coef/DT = 5.0%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0450e-02 sec\n", - "--- Collate = 8.3480e-05 sec\n", + "--- Update = 8.1587e-03 sec\n", + "--- Collate = 7.2233e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.405362e-02 > 2.000000e-03 [41908]\n", + "--- Max DT=2.405508e-02 > 2.000000e-03 [41909]\n", "----------------------------------------------------------------------\n", - " Component | high: 41908/60000\n", + " Component | high: 41909/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.124] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00204893 [ 0.09 %]\n", - "Velocity : 0.0105009 [ 0.49 %]\n", - "Force : 0.660471 [ 30.56 %]\n", - "Coefs : 0.341964 [ 15.82 %]\n", - "Output : 0.0284434 [ 1.32 %]\n", - "Levels : 0.000665997 [ 0.03 %]\n", - "Report : 1.684e-06 [ 0.00 %]\n", - "Balance : 9.96e-07 [ 0.00 %]\n", - "Adjust : 1.11594 [ 51.64 %]\n", - "Total : 2.16118 [100.00 %]\n", + "Drift : 0.000839199 [ 0.07 %]\n", + "Velocity : 0.00388378 [ 0.32 %]\n", + "Force : 0.412256 [ 34.12 %]\n", + "Coefs : 0.155322 [ 12.86 %]\n", + "Output : 0.0112604 [ 0.93 %]\n", + "Levels : 0.000384705 [ 0.03 %]\n", + "Report : 1.227e-06 [ 0.00 %]\n", + "Balance : 6.45e-07 [ 0.00 %]\n", + "Adjust : 0.623621 [ 51.62 %]\n", + "Total : 1.20808 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.9%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 2.5848e-02 sec\n", - "--- Collate = 1.0625e-04 sec\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.6336e-03 sec\n", + "--- Collate = 7.6935e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.606832e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.404354e-02 > 2.000000e-03 [41908]\n", + "--- Min DT=2.348908e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.404352e-02 > 2.000000e-03 [41909]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 41908/60000\n", + " Component | high: 41909/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.126] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00187251 [ 0.08 %]\n", - "Velocity : 0.00860894 [ 0.38 %]\n", - "Force : 0.668214 [ 29.28 %]\n", - "Coefs : 0.361144 [ 15.82 %]\n", - "Output : 0.0261856 [ 1.15 %]\n", - "Levels : 0.000813413 [ 0.04 %]\n", - "Report : 1.358e-06 [ 0.00 %]\n", - "Balance : 8.7e-07 [ 0.00 %]\n", - "Adjust : 1.21478 [ 53.22 %]\n", - "Total : 2.28252 [100.00 %]\n", + "Drift : 0.00083948 [ 0.07 %]\n", + "Velocity : 0.0037808 [ 0.31 %]\n", + "Force : 0.403988 [ 33.61 %]\n", + "Coefs : 0.154022 [ 12.81 %]\n", + "Output : 0.0107659 [ 0.90 %]\n", + "Levels : 0.000403491 [ 0.03 %]\n", + "Report : 1.557e-06 [ 0.00 %]\n", + "Balance : 5.91e-07 [ 0.00 %]\n", + "Adjust : 0.627708 [ 52.22 %]\n", + "Total : 1.202 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.7%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 2.3124e-02 sec\n", - "--- Collate = 9.4823e-05 sec\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.6955e-03 sec\n", + "--- Collate = 8.9318e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.403907e-02 > 2.000000e-03 [41922]\n", + "--- Max DT=2.403884e-02 > 2.000000e-03 [41923]\n", "----------------------------------------------------------------------\n", - " Component | high: 41922/60000\n", + " Component | high: 41923/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.128] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00191813 [ 0.07 %]\n", - "Velocity : 0.00934507 [ 0.35 %]\n", - "Force : 0.701502 [ 26.21 %]\n", - "Coefs : 0.462526 [ 17.28 %]\n", - "Output : 0.0300517 [ 1.12 %]\n", - "Levels : 0.000612326 [ 0.02 %]\n", - "Report : 1.651e-06 [ 0.00 %]\n", - "Balance : 7.66e-07 [ 0.00 %]\n", - "Adjust : 1.47006 [ 54.92 %]\n", - "Total : 2.67678 [100.00 %]\n", + "Drift : 0.000849271 [ 0.07 %]\n", + "Velocity : 0.00376283 [ 0.32 %]\n", + "Force : 0.394585 [ 33.58 %]\n", + "Coefs : 0.153671 [ 13.08 %]\n", + "Output : 0.0107815 [ 0.92 %]\n", + "Levels : 0.000490011 [ 0.04 %]\n", + "Report : 1.219e-06 [ 0.00 %]\n", + "Balance : 6.37e-07 [ 0.00 %]\n", + "Adjust : 0.610589 [ 51.96 %]\n", + "Total : 1.1752 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.0%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 2.2878e-02 sec\n", - "--- Collate = 1.6778e-04 sec\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.6374e-03 sec\n", + "--- Collate = 7.1146e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.881943e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.404346e-02 > 2.000000e-03 [41915]\n", + "--- Max DT=2.404292e-02 > 2.000000e-03 [41915]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", " Component | high: 41915/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -2517,126 +2234,135 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.13] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00212672 [ 0.10 %]\n", - "Velocity : 0.00967671 [ 0.44 %]\n", - "Force : 0.64757 [ 29.32 %]\n", - "Coefs : 0.336703 [ 15.25 %]\n", - "Output : 0.0279552 [ 1.27 %]\n", - "Levels : 0.000822882 [ 0.04 %]\n", - "Report : 1.607e-06 [ 0.00 %]\n", - "Balance : 9.78e-07 [ 0.00 %]\n", - "Adjust : 1.18281 [ 53.56 %]\n", - "Total : 2.20849 [100.00 %]\n", + "Drift : 0.00102636 [ 0.08 %]\n", + "Velocity : 0.00451509 [ 0.36 %]\n", + "Force : 0.430529 [ 34.03 %]\n", + "Coefs : 0.162275 [ 12.82 %]\n", + "Output : 0.0135606 [ 1.07 %]\n", + "Levels : 0.000380667 [ 0.03 %]\n", + "Report : 1.492e-06 [ 0.00 %]\n", + "Balance : 6.06e-07 [ 0.00 %]\n", + "Adjust : 0.652446 [ 51.56 %]\n", + "Total : 1.26533 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.2%\n", + "--- Coef/DT = 5.3%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0785e-02 sec\n", - "--- Collate = 7.8112e-05 sec\n", + "--- Update = 8.8675e-03 sec\n", + "--- Collate = 6.8985e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.404795e-02 > 2.000000e-03 [41912]\n", + "--- Min DT=1.998566e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.404806e-02 > 2.000000e-03 [41913]\n", "----------------------------------------------------------------------\n", - " Component | high: 41912/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41913/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.132] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00259966 [ 0.12 %]\n", - "Velocity : 0.00987916 [ 0.44 %]\n", - "Force : 0.669984 [ 29.88 %]\n", - "Coefs : 0.317425 [ 14.16 %]\n", - "Output : 0.028608 [ 1.28 %]\n", - "Levels : 0.000814615 [ 0.04 %]\n", - "Report : 1.49e-06 [ 0.00 %]\n", - "Balance : 8.56e-07 [ 0.00 %]\n", - "Adjust : 1.21185 [ 54.05 %]\n", - "Total : 2.24195 [100.00 %]\n", + "Drift : 0.00088026 [ 0.07 %]\n", + "Velocity : 0.00410557 [ 0.33 %]\n", + "Force : 0.41746 [ 34.00 %]\n", + "Coefs : 0.157037 [ 12.79 %]\n", + "Output : 0.0122245 [ 1.00 %]\n", + "Levels : 0.000310347 [ 0.03 %]\n", + "Report : 1.276e-06 [ 0.00 %]\n", + "Balance : 6.3e-07 [ 0.00 %]\n", + "Adjust : 0.635279 [ 51.74 %]\n", + "Total : 1.22785 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.0%\n", + "--- Coef/DT = 5.1%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 1.0542e-02 sec\n", - "--- Collate = 3.0227e-04 sec\n", + "--- Update = 8.8655e-03 sec\n", + "--- Collate = 6.7552e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.287888e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.404744e-02 > 2.000000e-03 [41919]\n", + "--- Max DT=2.404726e-02 > 2.000000e-03 [41920]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41919/60000\n", + " Component | high: 41920/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.134] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00246346 [ 0.10 %]\n", - "Velocity : 0.00954282 [ 0.40 %]\n", - "Force : 0.700829 [ 29.31 %]\n", - "Coefs : 0.410113 [ 17.15 %]\n", - "Output : 0.029687 [ 1.24 %]\n", - "Levels : 0.00077663 [ 0.03 %]\n", - "Report : 1.474e-06 [ 0.00 %]\n", - "Balance : 7.74e-07 [ 0.00 %]\n", - "Adjust : 1.23707 [ 51.73 %]\n", - "Total : 2.39143 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00101166 [ 0.08 %]\n", + "Velocity : 0.00431739 [ 0.35 %]\n", + "Force : 0.420432 [ 33.82 %]\n", + "Coefs : 0.160079 [ 12.88 %]\n", + "Output : 0.0129106 [ 1.04 %]\n", + "Levels : 0.000351731 [ 0.03 %]\n", + "Report : 1.224e-06 [ 0.00 %]\n", + "Balance : 5.21e-07 [ 0.00 %]\n", + "Adjust : 0.643633 [ 51.77 %]\n", + "Total : 1.24329 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 33.5%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.7169e-02 sec\n", - "--- Collate = 8.8011e-05 sec\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.0%\n", + "--- Update = 7.9780e-03 sec\n", + "--- Collate = 6.7450e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.404291e-02 > 2.000000e-03 [41932]\n", + "--- Max DT=2.404141e-02 > 2.000000e-03 [41931]\n", "----------------------------------------------------------------------\n", - " Component | high: 41932/60000\n", + " Component | high: 41931/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.136] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00234344 [ 0.11 %]\n", - "Velocity : 0.00988078 [ 0.47 %]\n", - "Force : 0.606907 [ 28.93 %]\n", - "Coefs : 0.365336 [ 17.41 %]\n", - "Output : 0.0309207 [ 1.47 %]\n", - "Levels : 0.000615534 [ 0.03 %]\n", - "Report : 9.6e-07 [ 0.00 %]\n", - "Balance : 6.63e-07 [ 0.00 %]\n", - "Adjust : 1.08101 [ 51.53 %]\n", - "Total : 2.09794 [100.00 %]\n", + "Drift : 0.000746805 [ 0.06 %]\n", + "Velocity : 0.003841 [ 0.33 %]\n", + "Force : 0.396745 [ 33.83 %]\n", + "Coefs : 0.152945 [ 13.04 %]\n", + "Output : 0.00969867 [ 0.83 %]\n", + "Levels : 0.000404358 [ 0.03 %]\n", + "Report : 9.06e-07 [ 0.00 %]\n", + "Balance : 5.1e-07 [ 0.00 %]\n", + "Adjust : 0.608012 [ 51.84 %]\n", + "Total : 1.17286 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.0%\n", + "--- Coef/DT = 5.7%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 2.3047e-02 sec\n", - "--- Collate = 1.0203e-04 sec\n", + "--- Update = 8.6763e-03 sec\n", + "--- Collate = 7.4930e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.404105e-02 > 2.000000e-03 [41928]\n", + "--- Min DT=3.616902e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.404017e-02 > 2.000000e-03 [41928]\n", "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", " Component | high: 41928/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -2644,64 +2370,61 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.138] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00249882 [ 0.11 %]\n", - "Velocity : 0.00968305 [ 0.42 %]\n", - "Force : 0.614167 [ 26.71 %]\n", - "Coefs : 0.321127 [ 13.96 %]\n", - "Output : 0.0291096 [ 1.27 %]\n", - "Levels : 0.000973277 [ 0.04 %]\n", - "Report : 1.462e-06 [ 0.00 %]\n", - "Balance : 8.8e-07 [ 0.00 %]\n", - "Adjust : 1.32117 [ 57.45 %]\n", - "Total : 2.29967 [100.00 %]\n", + "Drift : 0.000914406 [ 0.08 %]\n", + "Velocity : 0.00383592 [ 0.32 %]\n", + "Force : 0.407194 [ 33.51 %]\n", + "Coefs : 0.152263 [ 12.53 %]\n", + "Output : 0.0140599 [ 1.16 %]\n", + "Levels : 0.000362114 [ 0.03 %]\n", + "Report : 7.49e-07 [ 0.00 %]\n", + "Balance : 5.1e-07 [ 0.00 %]\n", + "Adjust : 0.63589 [ 52.33 %]\n", + "Total : 1.21508 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 7.6%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0769e-02 sec\n", - "--- Collate = 1.0077e-04 sec\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.3524e-03 sec\n", + "--- Collate = 7.9150e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.404282e-02 > 2.000000e-03 [41913]\n", + "--- Max DT=2.404238e-02 > 2.000000e-03 [41914]\n", "----------------------------------------------------------------------\n", - " Component | high: 41913/60000\n", + " Component | high: 41914/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.14] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00207746 [ 0.08 %]\n", - "Velocity : 0.00928301 [ 0.36 %]\n", - "Force : 0.655704 [ 25.29 %]\n", - "Coefs : 0.392206 [ 15.13 %]\n", - "Output : 0.185161 [ 7.14 %]\n", - "Levels : 0.000885178 [ 0.03 %]\n", - "Report : 1.282e-06 [ 0.00 %]\n", - "Balance : 9.17e-07 [ 0.00 %]\n", - "Adjust : 1.34653 [ 51.94 %]\n", - "Total : 2.59267 [100.00 %]\n", + "Drift : 0.000806469 [ 0.06 %]\n", + "Velocity : 0.00393577 [ 0.29 %]\n", + "Force : 0.4292 [ 31.85 %]\n", + "Coefs : 0.160445 [ 11.91 %]\n", + "Output : 0.102989 [ 7.64 %]\n", + "Levels : 0.000404927 [ 0.03 %]\n", + "Report : 1.344e-06 [ 0.00 %]\n", + "Balance : 5.87e-07 [ 0.00 %]\n", + "Adjust : 0.649016 [ 48.17 %]\n", + "Total : 1.34736 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.6%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.0513e-02 sec\n", - "--- Collate = 9.1991e-05 sec\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.9039e-03 sec\n", + "--- Collate = 7.0986e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.737330e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.404585e-02 > 2.000000e-03 [41903]\n", + "--- Max DT=2.404525e-02 > 2.000000e-03 [41903]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", " Component | high: 41903/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -2709,29 +2432,29 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.142] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00238393 [ 0.10 %]\n", - "Velocity : 0.00873881 [ 0.36 %]\n", - "Force : 0.687459 [ 28.10 %]\n", - "Coefs : 0.393869 [ 16.10 %]\n", - "Output : 0.0261712 [ 1.07 %]\n", - "Levels : 0.00067086 [ 0.03 %]\n", - "Report : 1.213e-06 [ 0.00 %]\n", - "Balance : 8.33e-07 [ 0.00 %]\n", - "Adjust : 1.32618 [ 54.21 %]\n", - "Total : 2.44634 [100.00 %]\n", + "Drift : 0.00120484 [ 0.10 %]\n", + "Velocity : 0.00542338 [ 0.44 %]\n", + "Force : 0.426338 [ 34.24 %]\n", + "Coefs : 0.160197 [ 12.87 %]\n", + "Output : 0.0129993 [ 1.04 %]\n", + "Levels : 0.000368309 [ 0.03 %]\n", + "Report : 1.264e-06 [ 0.00 %]\n", + "Balance : 5.37e-07 [ 0.00 %]\n", + "Adjust : 0.638058 [ 51.24 %]\n", + "Total : 1.24518 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.4%\n", + "--- Coef/DT = 5.7%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.3186e-02 sec\n", - "--- Collate = 8.8946e-05 sec\n", + "--- Update = 9.1619e-03 sec\n", + "--- Collate = 7.5267e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.404907e-02 > 2.000000e-03 [41902]\n", + "--- Max DT=2.404884e-02 > 2.000000e-03 [41902]\n", "----------------------------------------------------------------------\n", " Component | high: 41902/60000\n", " Component | high: 0/20000\n", @@ -2740,97 +2463,97 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.144] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00196556 [ 0.07 %]\n", - "Velocity : 0.00776175 [ 0.27 %]\n", - "Force : 0.775212 [ 27.21 %]\n", - "Coefs : 0.535344 [ 18.79 %]\n", - "Output : 0.0245265 [ 0.86 %]\n", - "Levels : 0.000747763 [ 0.03 %]\n", - "Report : 1.302e-06 [ 0.00 %]\n", - "Balance : 6.32e-07 [ 0.00 %]\n", - "Adjust : 1.5029 [ 52.75 %]\n", - "Total : 2.84933 [100.00 %]\n", + "Drift : 0.000934003 [ 0.08 %]\n", + "Velocity : 0.00394981 [ 0.32 %]\n", + "Force : 0.414583 [ 33.40 %]\n", + "Coefs : 0.158602 [ 12.78 %]\n", + "Output : 0.0136814 [ 1.10 %]\n", + "Levels : 0.000328909 [ 0.03 %]\n", + "Report : 1.122e-06 [ 0.00 %]\n", + "Balance : 3.77e-07 [ 0.00 %]\n", + "Adjust : 0.648756 [ 52.26 %]\n", + "Total : 1.24142 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.1%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.3289e-02 sec\n", - "--- Collate = 8.1784e-05 sec\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.5338e-03 sec\n", + "--- Collate = 6.7404e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.146853e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.404700e-02 > 2.000000e-03 [41900]\n", + "--- Max DT=2.404675e-02 > 2.000000e-03 [41901]\n", "----------------------------------------------------------------------\n", - " Component | low: 1/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41900/60000\n", + " Component | high: 41901/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.146] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00163603 [ 0.08 %]\n", - "Velocity : 0.00921088 [ 0.42 %]\n", - "Force : 0.660508 [ 30.31 %]\n", - "Coefs : 0.309931 [ 14.22 %]\n", - "Output : 0.0258451 [ 1.19 %]\n", - "Levels : 0.000866355 [ 0.04 %]\n", - "Report : 2.024e-06 [ 0.00 %]\n", - "Balance : 8.45e-07 [ 0.00 %]\n", - "Adjust : 1.16992 [ 53.70 %]\n", - "Total : 2.17882 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000764058 [ 0.06 %]\n", + "Velocity : 0.00352567 [ 0.29 %]\n", + "Force : 0.408965 [ 34.21 %]\n", + "Coefs : 0.155949 [ 13.04 %]\n", + "Output : 0.0102807 [ 0.86 %]\n", + "Levels : 0.000335938 [ 0.03 %]\n", + "Report : 1.088e-06 [ 0.00 %]\n", + "Balance : 4.69e-07 [ 0.00 %]\n", + "Adjust : 0.615253 [ 51.46 %]\n", + "Total : 1.19555 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0466e-02 sec\n", - "--- Collate = 1.8388e-04 sec\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.2335e-03 sec\n", + "--- Collate = 8.4862e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.727636e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.404508e-02 > 2.000000e-03 [41887]\n", + "--- Max DT=2.404395e-02 > 2.000000e-03 [41888]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41887/60000\n", + " Component | high: 41888/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.148] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00213216 [ 0.08 %]\n", - "Velocity : 0.00874982 [ 0.32 %]\n", - "Force : 0.690336 [ 25.38 %]\n", - "Coefs : 0.42899 [ 15.77 %]\n", - "Output : 0.0254455 [ 0.94 %]\n", - "Levels : 0.000625453 [ 0.02 %]\n", - "Report : 1.019e-06 [ 0.00 %]\n", - "Balance : 8.65e-07 [ 0.00 %]\n", - "Adjust : 1.56274 [ 57.46 %]\n", - "Total : 2.71978 [100.00 %]\n", + "Drift : 0.000738698 [ 0.06 %]\n", + "Velocity : 0.00349567 [ 0.30 %]\n", + "Force : 0.398906 [ 34.02 %]\n", + "Coefs : 0.151717 [ 12.94 %]\n", + "Output : 0.01015 [ 0.87 %]\n", + "Levels : 0.000318199 [ 0.03 %]\n", + "Report : 1.079e-06 [ 0.00 %]\n", + "Balance : 3.99e-07 [ 0.00 %]\n", + "Adjust : 0.606925 [ 51.75 %]\n", + "Total : 1.17273 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.6%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 2.4711e-02 sec\n", - "--- Collate = 9.8766e-05 sec\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.7956e-03 sec\n", + "--- Collate = 6.4379e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.404318e-02 > 2.000000e-03 [41882]\n", + "--- Max DT=2.404221e-02 > 2.000000e-03 [41882]\n", "----------------------------------------------------------------------\n", " Component | high: 41882/60000\n", " Component | high: 0/20000\n", @@ -2839,29 +2562,29 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.15] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00315035 [ 0.13 %]\n", - "Velocity : 0.00744523 [ 0.31 %]\n", - "Force : 0.696544 [ 28.65 %]\n", - "Coefs : 0.397918 [ 16.37 %]\n", - "Output : 0.0243042 [ 1.00 %]\n", - "Levels : 0.00130215 [ 0.05 %]\n", - "Report : 1.177e-06 [ 0.00 %]\n", - "Balance : 1.005e-06 [ 0.00 %]\n", - "Adjust : 1.29933 [ 53.45 %]\n", - "Total : 2.43087 [100.00 %]\n", + "Drift : 0.000696869 [ 0.06 %]\n", + "Velocity : 0.00341688 [ 0.29 %]\n", + "Force : 0.399746 [ 33.64 %]\n", + "Coefs : 0.153929 [ 12.96 %]\n", + "Output : 0.00975801 [ 0.82 %]\n", + "Levels : 0.000331447 [ 0.03 %]\n", + "Report : 1.295e-06 [ 0.00 %]\n", + "Balance : 5.43e-07 [ 0.00 %]\n", + "Adjust : 0.619833 [ 52.17 %]\n", + "Total : 1.18817 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.7%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.9992e-02 sec\n", - "--- Collate = 1.0083e-04 sec\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.3228e-03 sec\n", + "--- Collate = 8.6243e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.404659e-02 > 2.000000e-03 [41886]\n", + "--- Max DT=2.404577e-02 > 2.000000e-03 [41886]\n", "----------------------------------------------------------------------\n", " Component | high: 41886/60000\n", " Component | high: 0/20000\n", @@ -2870,132 +2593,132 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.152] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00167448 [ 0.06 %]\n", - "Velocity : 0.00971678 [ 0.35 %]\n", - "Force : 0.757022 [ 27.54 %]\n", - "Coefs : 0.418997 [ 15.24 %]\n", - "Output : 0.0355422 [ 1.29 %]\n", - "Levels : 0.000660142 [ 0.02 %]\n", - "Report : 1.685e-06 [ 0.00 %]\n", - "Balance : 1.053e-06 [ 0.00 %]\n", - "Adjust : 1.52443 [ 55.46 %]\n", - "Total : 2.74885 [100.00 %]\n", + "Drift : 0.000837276 [ 0.07 %]\n", + "Velocity : 0.00348677 [ 0.29 %]\n", + "Force : 0.398856 [ 33.51 %]\n", + "Coefs : 0.154101 [ 12.95 %]\n", + "Output : 0.0103887 [ 0.87 %]\n", + "Levels : 0.000375975 [ 0.03 %]\n", + "Report : 1.297e-06 [ 0.00 %]\n", + "Balance : 6.62e-07 [ 0.00 %]\n", + "Adjust : 0.621786 [ 52.24 %]\n", + "Total : 1.19029 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.1%\n", + "--- Coef/DT = 5.4%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 1.3825e-02 sec\n", - "--- Collate = 1.0652e-04 sec\n", + "--- Update = 8.5995e-03 sec\n", + "--- Collate = 9.0221e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.058028e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.404973e-02 > 2.000000e-03 [41909]\n", + "--- Min DT=2.542423e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.404951e-02 > 2.000000e-03 [41910]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41909/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41910/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.154] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00164941 [ 0.06 %]\n", - "Velocity : 0.00713736 [ 0.26 %]\n", - "Force : 0.863789 [ 31.58 %]\n", - "Coefs : 0.427712 [ 15.64 %]\n", - "Output : 0.0169163 [ 0.62 %]\n", - "Levels : 0.000778962 [ 0.03 %]\n", - "Report : 1.449e-06 [ 0.00 %]\n", - "Balance : 8.72e-07 [ 0.00 %]\n", - "Adjust : 1.41669 [ 51.79 %]\n", - "Total : 2.73554 [100.00 %]\n", + "Drift : 0.00105738 [ 0.09 %]\n", + "Velocity : 0.00481214 [ 0.39 %]\n", + "Force : 0.418051 [ 33.63 %]\n", + "Coefs : 0.161042 [ 12.95 %]\n", + "Output : 0.0148502 [ 1.19 %]\n", + "Levels : 0.000332781 [ 0.03 %]\n", + "Report : 1.276e-06 [ 0.00 %]\n", + "Balance : 6.9e-07 [ 0.00 %]\n", + "Adjust : 0.642394 [ 51.68 %]\n", + "Total : 1.24313 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.4%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0745e-02 sec\n", - "--- Collate = 8.2814e-05 sec\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.1952e-03 sec\n", + "--- Collate = 7.9603e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.405106e-02 > 2.000000e-03 [41925]\n", + "--- Max DT=2.405211e-02 > 2.000000e-03 [41923]\n", "----------------------------------------------------------------------\n", - " Component | high: 41924/60000\n", - " Component | high: 1/20000\n", + " Component | high: 41923/60000\n", + " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.156] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00153137 [ 0.07 %]\n", - "Velocity : 0.00623507 [ 0.28 %]\n", - "Force : 0.6781 [ 30.94 %]\n", - "Coefs : 0.354031 [ 16.16 %]\n", - "Output : 0.0171593 [ 0.78 %]\n", - "Levels : 0.000650955 [ 0.03 %]\n", - "Report : 1.542e-06 [ 0.00 %]\n", - "Balance : 9.06e-07 [ 0.00 %]\n", - "Adjust : 1.13278 [ 51.69 %]\n", - "Total : 2.19133 [100.00 %]\n", + "Drift : 0.000807635 [ 0.07 %]\n", + "Velocity : 0.00351606 [ 0.30 %]\n", + "Force : 0.401395 [ 33.89 %]\n", + "Coefs : 0.154252 [ 13.03 %]\n", + "Output : 0.00992296 [ 0.84 %]\n", + "Levels : 0.000369561 [ 0.03 %]\n", + "Report : 1.102e-06 [ 0.00 %]\n", + "Balance : 4.26e-07 [ 0.00 %]\n", + "Adjust : 0.613557 [ 51.81 %]\n", + "Total : 1.18427 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.5%\n", + "--- Coef/DT = 5.9%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.1502e-02 sec\n", - "--- Collate = 6.9009e-05 sec\n", + "--- Update = 8.2690e-03 sec\n", + "--- Collate = 7.7179e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.713082e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.404782e-02 > 2.000000e-03 [41925]\n", + "--- Max DT=2.404770e-02 > 2.000000e-03 [41926]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41925/60000\n", + " Component | high: 41926/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.158] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00168219 [ 0.06 %]\n", - "Velocity : 0.0063375 [ 0.23 %]\n", - "Force : 0.748624 [ 26.80 %]\n", - "Coefs : 0.6078 [ 21.76 %]\n", - "Output : 0.0227856 [ 0.82 %]\n", - "Levels : 0.000435078 [ 0.02 %]\n", - "Report : 1.704e-06 [ 0.00 %]\n", - "Balance : 1.038e-06 [ 0.00 %]\n", - "Adjust : 1.40448 [ 50.29 %]\n", - "Total : 2.79301 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000822164 [ 0.07 %]\n", + "Velocity : 0.00407317 [ 0.33 %]\n", + "Force : 0.407808 [ 33.23 %]\n", + "Coefs : 0.156702 [ 12.77 %]\n", + "Output : 0.0134027 [ 1.09 %]\n", + "Levels : 0.000381466 [ 0.03 %]\n", + "Report : 1.265e-06 [ 0.00 %]\n", + "Balance : 5.84e-07 [ 0.00 %]\n", + "Adjust : 0.643398 [ 52.43 %]\n", + "Total : 1.22717 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", + "--- Coef/DT = 5.0%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0550e-02 sec\n", - "--- Collate = 1.1214e-04 sec\n", + "--- Update = 8.0718e-03 sec\n", + "--- Collate = 8.5612e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.362623e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.404675e-02 > 2.000000e-03 [41919]\n", + "--- Max DT=2.404640e-02 > 2.000000e-03 [41919]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", " Component | high: 41919/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -3003,92 +2726,101 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.16] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00143579 [ 0.06 %]\n", - "Velocity : 0.00583046 [ 0.25 %]\n", - "Force : 0.624993 [ 26.77 %]\n", - "Coefs : 0.389878 [ 16.70 %]\n", - "Output : 0.217262 [ 9.31 %]\n", - "Levels : 0.000760014 [ 0.03 %]\n", - "Report : 1.401e-06 [ 0.00 %]\n", - "Balance : 9.07e-07 [ 0.00 %]\n", - "Adjust : 1.09364 [ 46.84 %]\n", - "Total : 2.33467 [100.00 %]\n", + "Drift : 0.000812941 [ 0.06 %]\n", + "Velocity : 0.00362833 [ 0.27 %]\n", + "Force : 0.407748 [ 30.38 %]\n", + "Coefs : 0.157913 [ 11.77 %]\n", + "Output : 0.133846 [ 9.97 %]\n", + "Levels : 0.00298022 [ 0.22 %]\n", + "Report : 1.188e-06 [ 0.00 %]\n", + "Balance : 6.47e-07 [ 0.00 %]\n", + "Adjust : 0.634765 [ 47.29 %]\n", + "Total : 1.34218 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.3123e-02 sec\n", - "--- Collate = 1.0163e-04 sec\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.5723e-03 sec\n", + "--- Collate = 6.7612e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.404041e-02 > 2.000000e-03 [41918]\n", + "--- Min DT=2.274835e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.404078e-02 > 2.000000e-03 [41920]\n", "----------------------------------------------------------------------\n", - " Component | high: 41918/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41920/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.162] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00143644 [ 0.06 %]\n", - "Velocity : 0.00577245 [ 0.24 %]\n", - "Force : 0.631755 [ 26.03 %]\n", - "Coefs : 0.381823 [ 15.73 %]\n", - "Output : 0.0173504 [ 0.71 %]\n", - "Levels : 0.000661411 [ 0.03 %]\n", - "Report : 1.354e-06 [ 0.00 %]\n", - "Balance : 8.6e-07 [ 0.00 %]\n", - "Adjust : 1.38753 [ 57.17 %]\n", - "Total : 2.4272 [100.00 %]\n", + "Drift : 0.0017413 [ 0.14 %]\n", + "Velocity : 0.00753855 [ 0.62 %]\n", + "Force : 0.393584 [ 32.35 %]\n", + "Coefs : 0.15287 [ 12.56 %]\n", + "Output : 0.0204305 [ 1.68 %]\n", + "Levels : 0.000541114 [ 0.04 %]\n", + "Report : 1.558e-06 [ 0.00 %]\n", + "Balance : 5.6e-07 [ 0.00 %]\n", + "Adjust : 0.639369 [ 52.55 %]\n", + "Total : 1.21666 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", + "--- Coef/DT = 5.2%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.1061e-02 sec\n", - "--- Collate = 1.9079e-04 sec\n", + "--- Update = 8.0960e-03 sec\n", + "--- Collate = 8.8273e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.403617e-02 > 2.000000e-03 [41905]\n", + "--- Min DT=2.898350e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.403636e-02 > 2.000000e-03 [41906]\n", "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", " Component | high: 41905/60000\n", - " Component | high: 0/20000\n", + " Component | high: 1/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.164] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00186341 [ 0.09 %]\n", - "Velocity : 0.00740131 [ 0.34 %]\n", - "Force : 0.678514 [ 31.53 %]\n", - "Coefs : 0.340623 [ 15.83 %]\n", - "Output : 0.0278893 [ 1.30 %]\n", - "Levels : 0.000660853 [ 0.03 %]\n", - "Report : 1.572e-06 [ 0.00 %]\n", - "Balance : 8.4e-07 [ 0.00 %]\n", - "Adjust : 1.09421 [ 50.85 %]\n", - "Total : 2.15199 [100.00 %]\n", + "Drift : 0.00161811 [ 0.13 %]\n", + "Velocity : 0.00697559 [ 0.56 %]\n", + "Force : 0.408062 [ 32.87 %]\n", + "Coefs : 0.153745 [ 12.38 %]\n", + "Output : 0.0208318 [ 1.68 %]\n", + "Levels : 0.000506879 [ 0.04 %]\n", + "Report : 1.067e-06 [ 0.00 %]\n", + "Balance : 7.77e-07 [ 0.00 %]\n", + "Adjust : 0.649164 [ 52.29 %]\n", + "Total : 1.24148 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.6%\n", + "--- Coef/DT = 5.2%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 1.4517e-02 sec\n", - "--- Collate = 1.1227e-04 sec\n", + "--- Update = 8.2435e-03 sec\n", + "--- Collate = 9.2329e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.403551e-02 > 2.000000e-03 [41928]\n", + "--- Min DT=3.201789e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.403679e-02 > 2.000000e-03 [41928]\n", "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", " Component | high: 41928/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -3096,63 +2828,60 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.166] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00159156 [ 0.08 %]\n", - "Velocity : 0.00644649 [ 0.31 %]\n", - "Force : 0.657472 [ 31.89 %]\n", - "Coefs : 0.303138 [ 14.70 %]\n", - "Output : 0.0202035 [ 0.98 %]\n", - "Levels : 0.000766003 [ 0.04 %]\n", - "Report : 1.211e-06 [ 0.00 %]\n", - "Balance : 7.33e-07 [ 0.00 %]\n", - "Adjust : 1.07132 [ 51.96 %]\n", - "Total : 2.0618 [100.00 %]\n", + "Drift : 0.0016962 [ 0.14 %]\n", + "Velocity : 0.00739546 [ 0.60 %]\n", + "Force : 0.398098 [ 32.16 %]\n", + "Coefs : 0.150368 [ 12.15 %]\n", + "Output : 0.0209969 [ 1.70 %]\n", + "Levels : 0.000494673 [ 0.04 %]\n", + "Report : 9.59e-07 [ 0.00 %]\n", + "Balance : 7.8e-07 [ 0.00 %]\n", + "Adjust : 0.658367 [ 53.18 %]\n", + "Total : 1.238 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 7.6%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.1520e-02 sec\n", - "--- Collate = 9.3917e-05 sec\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.9943e-03 sec\n", + "--- Collate = 1.0258e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.562439e-07 < 7.812500e-06 [2]\n", - "--- Max DT=2.403781e-02 > 2.000000e-03 [41932]\n", + "--- Max DT=2.403902e-02 > 2.000000e-03 [41933]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41932/60000\n", + " Component | high: 41933/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.168] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00187841 [ 0.09 %]\n", - "Velocity : 0.00709201 [ 0.36 %]\n", - "Force : 0.599943 [ 30.06 %]\n", - "Coefs : 0.299241 [ 14.99 %]\n", - "Output : 0.0212836 [ 1.07 %]\n", - "Levels : 0.000667126 [ 0.03 %]\n", - "Report : 1.499e-06 [ 0.00 %]\n", - "Balance : 7.94e-07 [ 0.00 %]\n", - "Adjust : 1.0648 [ 53.35 %]\n", - "Total : 1.99582 [100.00 %]\n", + "Drift : 0.00164214 [ 0.12 %]\n", + "Velocity : 0.00635993 [ 0.47 %]\n", + "Force : 0.450043 [ 33.59 %]\n", + "Coefs : 0.167255 [ 12.48 %]\n", + "Output : 0.0201448 [ 1.50 %]\n", + "Levels : 0.000498216 [ 0.04 %]\n", + "Report : 1.455e-06 [ 0.00 %]\n", + "Balance : 6.01e-07 [ 0.00 %]\n", + "Adjust : 0.693336 [ 51.75 %]\n", + "Total : 1.33987 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.8%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.4573e-02 sec\n", - "--- Collate = 8.1625e-05 sec\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 9.0712e-03 sec\n", + "--- Collate = 9.7091e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.403744e-02 > 2.000000e-03 [41937]\n", + "--- Max DT=2.403975e-02 > 2.000000e-03 [41937]\n", "----------------------------------------------------------------------\n", " Component | high: 41937/60000\n", " Component | high: 0/20000\n", @@ -3161,61 +2890,70 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.17] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00130638 [ 0.06 %]\n", - "Velocity : 0.00591521 [ 0.26 %]\n", - "Force : 0.664005 [ 28.77 %]\n", - "Coefs : 0.380585 [ 16.49 %]\n", - "Output : 0.0177623 [ 0.77 %]\n", - "Levels : 0.000651215 [ 0.03 %]\n", - "Report : 1.183e-06 [ 0.00 %]\n", - "Balance : 8.19e-07 [ 0.00 %]\n", - "Adjust : 1.23696 [ 53.59 %]\n", - "Total : 2.30806 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.0012356 [ 0.09 %]\n", + "Velocity : 0.004741 [ 0.35 %]\n", + "Force : 0.461804 [ 34.37 %]\n", + "Coefs : 0.171994 [ 12.80 %]\n", + "Output : 0.0157014 [ 1.17 %]\n", + "Levels : 0.00061847 [ 0.05 %]\n", + "Report : 1.682e-06 [ 0.00 %]\n", + "Balance : 5.98e-07 [ 0.00 %]\n", + "Adjust : 0.686726 [ 51.12 %]\n", + "Total : 1.34345 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.3%\n", + "--- Coef/DT = 5.5%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 1.2634e-02 sec\n", - "--- Collate = 1.1138e-04 sec\n", + "--- Update = 9.0214e-03 sec\n", + "--- Collate = 6.9676e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.403678e-02 > 2.000000e-03 [41948]\n", + "--- Min DT=3.789649e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.403883e-02 > 2.000000e-03 [41949]\n", "----------------------------------------------------------------------\n", - " Component | high: 41948/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41949/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.172] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00189683 [ 0.08 %]\n", - "Velocity : 0.00766918 [ 0.31 %]\n", - "Force : 0.704544 [ 28.07 %]\n", - "Coefs : 0.388674 [ 15.49 %]\n", - "Output : 0.0195787 [ 0.78 %]\n", - "Levels : 0.000901337 [ 0.04 %]\n", - "Report : 1.447e-06 [ 0.00 %]\n", - "Balance : 8.8e-07 [ 0.00 %]\n", - "Adjust : 1.38576 [ 55.21 %]\n", - "Total : 2.50988 [100.00 %]\n", + "Drift : 0.000997243 [ 0.08 %]\n", + "Velocity : 0.00378329 [ 0.30 %]\n", + "Force : 0.423521 [ 33.68 %]\n", + "Coefs : 0.162257 [ 12.90 %]\n", + "Output : 0.0120802 [ 0.96 %]\n", + "Levels : 0.000342078 [ 0.03 %]\n", + "Report : 1.22e-06 [ 0.00 %]\n", + "Balance : 5.01e-07 [ 0.00 %]\n", + "Adjust : 0.653966 [ 52.00 %]\n", + "Total : 1.25752 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.5%\n", + "--- Coef/DT = 5.2%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 1.3566e-02 sec\n", - "--- Collate = 7.8493e-05 sec\n", + "--- Update = 8.4819e-03 sec\n", + "--- Collate = 7.2994e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.632896e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.403956e-02 > 2.000000e-03 [41964]\n", + "--- Min DT=2.945784e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.403878e-02 > 2.000000e-03 [41964]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", @@ -3226,30 +2964,33 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.174] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00152301 [ 0.07 %]\n", - "Velocity : 0.00974859 [ 0.44 %]\n", - "Force : 0.689067 [ 30.95 %]\n", - "Coefs : 0.332353 [ 14.93 %]\n", - "Output : 0.0261373 [ 1.17 %]\n", - "Levels : 0.00065098 [ 0.03 %]\n", - "Report : 1.314e-06 [ 0.00 %]\n", - "Balance : 8.38e-07 [ 0.00 %]\n", - "Adjust : 1.16614 [ 52.37 %]\n", - "Total : 2.22654 [100.00 %]\n", + "Drift : 0.00100894 [ 0.08 %]\n", + "Velocity : 0.00399521 [ 0.32 %]\n", + "Force : 0.425583 [ 33.84 %]\n", + "Coefs : 0.160721 [ 12.78 %]\n", + "Output : 0.0120495 [ 0.96 %]\n", + "Levels : 0.000546112 [ 0.04 %]\n", + "Report : 1.093e-06 [ 0.00 %]\n", + "Balance : 5.89e-07 [ 0.00 %]\n", + "Adjust : 0.653303 [ 51.94 %]\n", + "Total : 1.25775 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.8%\n", - "--- Adj/Tot = 1.4%\n", - "--- Update = 1.0595e-02 sec\n", - "--- Collate = 1.0202e-04 sec\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.8551e-03 sec\n", + "--- Collate = 7.3561e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.403931e-02 > 2.000000e-03 [41961]\n", + "--- Min DT=2.678798e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.403870e-02 > 2.000000e-03 [41961]\n", "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", " Component | high: 41961/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -3257,29 +2998,29 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.176] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00151175 [ 0.06 %]\n", - "Velocity : 0.00682874 [ 0.28 %]\n", - "Force : 0.757675 [ 31.45 %]\n", - "Coefs : 0.390889 [ 16.22 %]\n", - "Output : 0.0198977 [ 0.83 %]\n", - "Levels : 0.000693484 [ 0.03 %]\n", - "Report : 1.28e-06 [ 0.00 %]\n", - "Balance : 7.29e-07 [ 0.00 %]\n", - "Adjust : 1.23095 [ 51.09 %]\n", - "Total : 2.40941 [100.00 %]\n", + "Drift : 0.00093278 [ 0.08 %]\n", + "Velocity : 0.00414346 [ 0.34 %]\n", + "Force : 0.410929 [ 33.80 %]\n", + "Coefs : 0.158054 [ 13.00 %]\n", + "Output : 0.0110113 [ 0.91 %]\n", + "Levels : 0.000356775 [ 0.03 %]\n", + "Report : 8.41e-07 [ 0.00 %]\n", + "Balance : 5.91e-07 [ 0.00 %]\n", + "Adjust : 0.629943 [ 51.81 %]\n", + "Total : 1.21592 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 29.0%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.7291e-02 sec\n", - "--- Collate = 1.5309e-04 sec\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.3766e-03 sec\n", + "--- Collate = 8.4487e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.403923e-02 > 2.000000e-03 [41973]\n", + "--- Max DT=2.403939e-02 > 2.000000e-03 [41973]\n", "----------------------------------------------------------------------\n", " Component | high: 41973/60000\n", " Component | high: 0/20000\n", @@ -3288,126 +3029,129 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.178] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00172293 [ 0.07 %]\n", - "Velocity : 0.00833746 [ 0.33 %]\n", - "Force : 0.659945 [ 26.44 %]\n", - "Coefs : 0.415185 [ 16.64 %]\n", - "Output : 0.0224553 [ 0.90 %]\n", - "Levels : 0.00074059 [ 0.03 %]\n", - "Report : 1.59e-06 [ 0.00 %]\n", - "Balance : 9.25e-07 [ 0.00 %]\n", - "Adjust : 1.38643 [ 55.55 %]\n", - "Total : 2.49566 [100.00 %]\n", + "Drift : 0.000777149 [ 0.06 %]\n", + "Velocity : 0.00343462 [ 0.29 %]\n", + "Force : 0.404693 [ 33.65 %]\n", + "Coefs : 0.157675 [ 13.11 %]\n", + "Output : 0.0124818 [ 1.04 %]\n", + "Levels : 0.000448993 [ 0.04 %]\n", + "Report : 1.27e-06 [ 0.00 %]\n", + "Balance : 5.28e-07 [ 0.00 %]\n", + "Adjust : 0.62257 [ 51.77 %]\n", + "Total : 1.2026 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.4%\n", + "--- Coef/DT = 5.4%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.1735e-02 sec\n", - "--- Collate = 9.2346e-05 sec\n", + "--- Update = 8.2558e-03 sec\n", + "--- Collate = 6.7413e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.403899e-02 > 2.000000e-03 [41950]\n", + "--- Max DT=2.403790e-02 > 2.000000e-03 [41951]\n", "----------------------------------------------------------------------\n", - " Component | high: 41950/60000\n", + " Component | high: 41951/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.18] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.001689 [ 0.06 %]\n", - "Velocity : 0.00783007 [ 0.30 %]\n", - "Force : 0.743859 [ 28.59 %]\n", - "Coefs : 0.405867 [ 15.60 %]\n", - "Output : 0.170797 [ 6.57 %]\n", - "Levels : 0.0020776 [ 0.08 %]\n", - "Report : 1.068e-06 [ 0.00 %]\n", - "Balance : 8.6e-07 [ 0.00 %]\n", - "Adjust : 1.26861 [ 48.76 %]\n", - "Total : 2.60155 [100.00 %]\n", + "Drift : 0.00096378 [ 0.07 %]\n", + "Velocity : 0.00418758 [ 0.31 %]\n", + "Force : 0.419075 [ 30.85 %]\n", + "Coefs : 0.162607 [ 11.97 %]\n", + "Output : 0.122607 [ 9.03 %]\n", + "Levels : 0.000486541 [ 0.04 %]\n", + "Report : 1.284e-06 [ 0.00 %]\n", + "Balance : 5.05e-07 [ 0.00 %]\n", + "Adjust : 0.647855 [ 47.70 %]\n", + "Total : 1.3583 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.5%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.1322e-02 sec\n", - "--- Collate = 9.7539e-05 sec\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.0637e-03 sec\n", + "--- Collate = 1.0565e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.403964e-02 > 2.000000e-03 [41945]\n", + "--- Max DT=2.403936e-02 > 2.000000e-03 [41946]\n", "----------------------------------------------------------------------\n", - " Component | high: 41945/60000\n", + " Component | high: 41946/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.182] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00266347 [ 0.11 %]\n", - "Velocity : 0.00716497 [ 0.31 %]\n", - "Force : 0.666066 [ 28.51 %]\n", - "Coefs : 0.386859 [ 16.56 %]\n", - "Output : 0.0214547 [ 0.92 %]\n", - "Levels : 0.000625306 [ 0.03 %]\n", - "Report : 1.776e-06 [ 0.00 %]\n", - "Balance : 1.021e-06 [ 0.00 %]\n", - "Adjust : 1.25028 [ 53.52 %]\n", - "Total : 2.33591 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00122618 [ 0.09 %]\n", + "Velocity : 0.00463095 [ 0.35 %]\n", + "Force : 0.450989 [ 34.50 %]\n", + "Coefs : 0.176919 [ 13.53 %]\n", + "Output : 0.0131605 [ 1.01 %]\n", + "Levels : 0.000481979 [ 0.04 %]\n", + "Report : 1.666e-06 [ 0.00 %]\n", + "Balance : 6.18e-07 [ 0.00 %]\n", + "Adjust : 0.659187 [ 50.43 %]\n", + "Total : 1.3072 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.2615e-02 sec\n", - "--- Collate = 9.3600e-05 sec\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.5654e-03 sec\n", + "--- Collate = 7.4202e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.403691e-02 > 2.000000e-03 [41949]\n", + "--- Max DT=2.403780e-02 > 2.000000e-03 [41947]\n", "----------------------------------------------------------------------\n", - " Component | high: 41949/60000\n", + " Component | high: 41947/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.184] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00143645 [ 0.06 %]\n", - "Velocity : 0.00647065 [ 0.27 %]\n", - "Force : 0.687698 [ 28.55 %]\n", - "Coefs : 0.396821 [ 16.47 %]\n", - "Output : 0.018665 [ 0.77 %]\n", - "Levels : 0.000673538 [ 0.03 %]\n", - "Report : 1.353e-06 [ 0.00 %]\n", - "Balance : 1.016e-06 [ 0.00 %]\n", - "Adjust : 1.29632 [ 53.81 %]\n", - "Total : 2.40899 [100.00 %]\n", + "Drift : 0.00119108 [ 0.10 %]\n", + "Velocity : 0.00499657 [ 0.40 %]\n", + "Force : 0.414386 [ 33.36 %]\n", + "Coefs : 0.158729 [ 12.78 %]\n", + "Output : 0.0136824 [ 1.10 %]\n", + "Levels : 0.000442044 [ 0.04 %]\n", + "Report : 1.211e-06 [ 0.00 %]\n", + "Balance : 5.73e-07 [ 0.00 %]\n", + "Adjust : 0.648248 [ 52.18 %]\n", + "Total : 1.24235 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.2531e-02 sec\n", - "--- Collate = 8.9073e-05 sec\n", + "--- Coef/DT = 4.7%\n", + "--- Adj/Tot = 1.0%\n", + "--- Update = 8.2561e-03 sec\n", + "--- Collate = 6.9770e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.707889e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.403626e-02 > 2.000000e-03 [41950]\n", + "--- Max DT=2.403767e-02 > 2.000000e-03 [41950]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", " Component | high: 41950/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -3415,33 +3159,30 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.186] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00130883 [ 0.07 %]\n", - "Velocity : 0.0056813 [ 0.30 %]\n", - "Force : 0.647389 [ 34.72 %]\n", - "Coefs : 0.263692 [ 14.14 %]\n", - "Output : 0.0169882 [ 0.91 %]\n", - "Levels : 0.000724968 [ 0.04 %]\n", - "Report : 1.554e-06 [ 0.00 %]\n", - "Balance : 7.94e-07 [ 0.00 %]\n", - "Adjust : 0.928094 [ 49.77 %]\n", - "Total : 1.86471 [100.00 %]\n", + "Drift : 0.000955045 [ 0.08 %]\n", + "Velocity : 0.00427097 [ 0.35 %]\n", + "Force : 0.417524 [ 33.94 %]\n", + "Coefs : 0.157803 [ 12.83 %]\n", + "Output : 0.0113333 [ 0.92 %]\n", + "Levels : 0.000354446 [ 0.03 %]\n", + "Report : 1.415e-06 [ 0.00 %]\n", + "Balance : 4.46e-07 [ 0.00 %]\n", + "Adjust : 0.63724 [ 51.81 %]\n", + "Total : 1.23007 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.6%\n", + "--- Coef/DT = 5.6%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.3095e-02 sec\n", - "--- Collate = 7.7362e-05 sec\n", + "--- Update = 8.6781e-03 sec\n", + "--- Collate = 6.7248e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.348308e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.403483e-02 > 2.000000e-03 [41961]\n", + "--- Max DT=2.403443e-02 > 2.000000e-03 [41961]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 2/20000\n", " Component | high: 41961/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -3449,30 +3190,33 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.188] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00185748 [ 0.06 %]\n", - "Velocity : 0.0101368 [ 0.35 %]\n", - "Force : 0.726566 [ 24.89 %]\n", - "Coefs : 0.519291 [ 17.79 %]\n", - "Output : 0.0304518 [ 1.04 %]\n", - "Levels : 0.000648683 [ 0.02 %]\n", - "Report : 1.261e-06 [ 0.00 %]\n", - "Balance : 8.99e-07 [ 0.00 %]\n", - "Adjust : 1.62898 [ 55.81 %]\n", - "Total : 2.91873 [100.00 %]\n", + "Drift : 0.000703499 [ 0.06 %]\n", + "Velocity : 0.0030814 [ 0.25 %]\n", + "Force : 0.423996 [ 34.84 %]\n", + "Coefs : 0.157752 [ 12.96 %]\n", + "Output : 0.00840162 [ 0.69 %]\n", + "Levels : 0.000357997 [ 0.03 %]\n", + "Report : 1.238e-06 [ 0.00 %]\n", + "Balance : 6.85e-07 [ 0.00 %]\n", + "Adjust : 0.622388 [ 51.13 %]\n", + "Total : 1.21715 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.9%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.0643e-02 sec\n", - "--- Collate = 9.0023e-05 sec\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 9.1919e-03 sec\n", + "--- Collate = 8.6986e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.402885e-02 > 2.000000e-03 [41984]\n", + "--- Min DT=2.775712e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.402804e-02 > 2.000000e-03 [41984]\n", "----------------------------------------------------------------------\n", + " Component | low: 1/60000\n", + " Component | low: 1/20000\n", " Component | high: 41984/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -3480,95 +3224,104 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.19] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00197578 [ 0.09 %]\n", - "Velocity : 0.00877317 [ 0.39 %]\n", - "Force : 0.674535 [ 29.86 %]\n", - "Coefs : 0.34718 [ 15.37 %]\n", - "Output : 0.0268195 [ 1.19 %]\n", - "Levels : 0.000712693 [ 0.03 %]\n", - "Report : 1.687e-06 [ 0.00 %]\n", - "Balance : 6.94e-07 [ 0.00 %]\n", - "Adjust : 1.19832 [ 53.04 %]\n", - "Total : 2.25907 [100.00 %]\n", + "Drift : 0.000719426 [ 0.06 %]\n", + "Velocity : 0.00315519 [ 0.26 %]\n", + "Force : 0.409005 [ 33.74 %]\n", + "Coefs : 0.158641 [ 13.09 %]\n", + "Output : 0.00925589 [ 0.76 %]\n", + "Levels : 0.000372456 [ 0.03 %]\n", + "Report : 1.266e-06 [ 0.00 %]\n", + "Balance : 6.76e-07 [ 0.00 %]\n", + "Adjust : 0.630787 [ 52.03 %]\n", + "Total : 1.21238 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.4%\n", + "--- Coef/DT = 5.9%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0573e-02 sec\n", - "--- Collate = 5.9264e-05 sec\n", + "--- Update = 8.0677e-03 sec\n", + "--- Collate = 9.3703e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.591825e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.402802e-02 > 2.000000e-03 [41983]\n", + "--- Min DT=3.260975e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.402843e-02 > 2.000000e-03 [41981]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 41983/60000\n", + " Component | high: 41981/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.192] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00195202 [ 0.10 %]\n", - "Velocity : 0.00919728 [ 0.47 %]\n", - "Force : 0.629562 [ 31.90 %]\n", - "Coefs : 0.269873 [ 13.68 %]\n", - "Output : 0.0260734 [ 1.32 %]\n", - "Levels : 0.000645993 [ 0.03 %]\n", - "Report : 1.415e-06 [ 0.00 %]\n", - "Balance : 7.78e-07 [ 0.00 %]\n", - "Adjust : 1.0353 [ 52.46 %]\n", - "Total : 1.97334 [100.00 %]\n", + "Drift : 0.000704473 [ 0.06 %]\n", + "Velocity : 0.00305621 [ 0.26 %]\n", + "Force : 0.41079 [ 34.61 %]\n", + "Coefs : 0.153983 [ 12.97 %]\n", + "Output : 0.00849044 [ 0.72 %]\n", + "Levels : 0.000328893 [ 0.03 %]\n", + "Report : 1.45e-06 [ 0.00 %]\n", + "Balance : 6.74e-07 [ 0.00 %]\n", + "Adjust : 0.60927 [ 51.33 %]\n", + "Total : 1.18705 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.1%\n", + "--- Coef/DT = 4.9%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 1.5173e-02 sec\n", - "--- Collate = 8.7261e-05 sec\n", + "--- Update = 7.6350e-03 sec\n", + "--- Collate = 8.6704e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.402942e-02 > 2.000000e-03 [41978]\n", + "--- Max DT=2.402983e-02 > 2.000000e-03 [41976]\n", "----------------------------------------------------------------------\n", - " Component | high: 41978/60000\n", + " Component | high: 41976/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.194] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0049443 [ 0.23 %]\n", - "Velocity : 0.00838288 [ 0.39 %]\n", - "Force : 0.601903 [ 27.93 %]\n", - "Coefs : 0.348349 [ 16.16 %]\n", - "Output : 0.0265828 [ 1.23 %]\n", - "Levels : 0.000627781 [ 0.03 %]\n", - "Report : 1.637e-06 [ 0.00 %]\n", - "Balance : 8.91e-07 [ 0.00 %]\n", - "Adjust : 1.16373 [ 53.99 %]\n", - "Total : 2.15534 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000895597 [ 0.07 %]\n", + "Velocity : 0.00363987 [ 0.30 %]\n", + "Force : 0.405279 [ 33.42 %]\n", + "Coefs : 0.160346 [ 13.22 %]\n", + "Output : 0.0111367 [ 0.92 %]\n", + "Levels : 0.000426229 [ 0.04 %]\n", + "Report : 1.323e-06 [ 0.00 %]\n", + "Balance : 6.87e-07 [ 0.00 %]\n", + "Adjust : 0.630466 [ 51.99 %]\n", + "Total : 1.21268 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.8%\n", + "--- Coef/DT = 5.0%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 2.3720e-02 sec\n", - "--- Collate = 1.7796e-04 sec\n", + "--- Update = 8.3116e-03 sec\n", + "--- Collate = 6.7085e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.402720e-02 > 2.000000e-03 [41978]\n", + "--- Min DT=3.344963e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.402620e-02 > 2.000000e-03 [41978]\n", "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", " Component | high: 41978/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -3576,65 +3329,65 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.196] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00180709 [ 0.08 %]\n", - "Velocity : 0.008593 [ 0.38 %]\n", - "Force : 0.695904 [ 30.70 %]\n", - "Coefs : 0.353331 [ 15.59 %]\n", - "Output : 0.0254498 [ 1.12 %]\n", - "Levels : 0.000761937 [ 0.03 %]\n", - "Report : 1.283e-06 [ 0.00 %]\n", - "Balance : 8.52e-07 [ 0.00 %]\n", - "Adjust : 1.18045 [ 52.07 %]\n", - "Total : 2.26711 [100.00 %]\n", + "Drift : 0.00086522 [ 0.07 %]\n", + "Velocity : 0.00351116 [ 0.29 %]\n", + "Force : 0.411732 [ 34.22 %]\n", + "Coefs : 0.158787 [ 13.20 %]\n", + "Output : 0.00961871 [ 0.80 %]\n", + "Levels : 0.00033607 [ 0.03 %]\n", + "Report : 1.216e-06 [ 0.00 %]\n", + "Balance : 6.31e-07 [ 0.00 %]\n", + "Adjust : 0.617767 [ 51.35 %]\n", + "Total : 1.20307 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", + "--- Coef/DT = 5.4%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.3410e-02 sec\n", - "--- Collate = 3.0951e-03 sec\n", + "--- Update = 9.0471e-03 sec\n", + "--- Collate = 8.8362e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.402360e-02 > 2.000000e-03 [41998]\n", + "--- Max DT=2.402330e-02 > 2.000000e-03 [41999]\n", "----------------------------------------------------------------------\n", - " Component | high: 41998/60000\n", + " Component | high: 41999/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.198] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00202182 [ 0.10 %]\n", - "Velocity : 0.00822208 [ 0.39 %]\n", - "Force : 0.616809 [ 29.42 %]\n", - "Coefs : 0.321731 [ 15.35 %]\n", - "Output : 0.0252975 [ 1.21 %]\n", - "Levels : 0.000731753 [ 0.03 %]\n", - "Report : 1.225e-06 [ 0.00 %]\n", - "Balance : 8.6e-07 [ 0.00 %]\n", - "Adjust : 1.12103 [ 53.47 %]\n", - "Total : 2.09665 [100.00 %]\n", + "Drift : 0.000890327 [ 0.07 %]\n", + "Velocity : 0.00375623 [ 0.31 %]\n", + "Force : 0.419738 [ 34.16 %]\n", + "Coefs : 0.161069 [ 13.11 %]\n", + "Output : 0.0103421 [ 0.84 %]\n", + "Levels : 0.000343205 [ 0.03 %]\n", + "Report : 1.43e-06 [ 0.00 %]\n", + "Balance : 6.06e-07 [ 0.00 %]\n", + "Adjust : 0.632162 [ 51.45 %]\n", + "Total : 1.22879 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.2%\n", + "--- Coef/DT = 4.7%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.5606e-02 sec\n", - "--- Collate = 8.6815e-05 sec\n", + "--- Update = 7.9631e-03 sec\n", + "--- Collate = 6.7100e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.694018e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.402178e-02 > 2.000000e-03 [42001]\n", + "--- Min DT=3.716716e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.402069e-02 > 2.000000e-03 [42002]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 42001/60000\n", + " Component | high: 42002/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "OutCHKPT::Run(): error unlinking old backup file , it may not exist\n", @@ -3642,132 +3395,129 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.2] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00210856 [ 0.06 %]\n", - "Velocity : 0.00938345 [ 0.28 %]\n", - "Force : 0.788811 [ 23.35 %]\n", - "Coefs : 0.604447 [ 17.90 %]\n", - "Output : 0.336395 [ 9.96 %]\n", - "Levels : 0.000759785 [ 0.02 %]\n", - "Report : 1.953e-06 [ 0.00 %]\n", - "Balance : 1.27e-06 [ 0.00 %]\n", - "Adjust : 1.63472 [ 48.40 %]\n", - "Total : 3.37751 [100.00 %]\n", + "Drift : 0.000856538 [ 0.06 %]\n", + "Velocity : 0.00340587 [ 0.24 %]\n", + "Force : 0.423401 [ 29.74 %]\n", + "Coefs : 0.163789 [ 11.51 %]\n", + "Output : 0.190486 [ 13.38 %]\n", + "Levels : 0.000342127 [ 0.02 %]\n", + "Report : 1.294e-06 [ 0.00 %]\n", + "Balance : 5.58e-07 [ 0.00 %]\n", + "Adjust : 0.640808 [ 45.01 %]\n", + "Total : 1.42359 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 22.7%\n", - "--- Adj/Tot = 1.4%\n", - "--- Update = 1.9437e-02 sec\n", - "--- Collate = 7.6924e-05 sec\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.8711e-03 sec\n", + "--- Collate = 7.2655e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.359778e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.402116e-02 > 2.000000e-03 [42020]\n", + "--- Max DT=2.402005e-02 > 2.000000e-03 [42018]\n", "----------------------------------------------------------------------\n", - " Component | low: 1/60000\n", - " Component | low: 0/20000\n", - " Component | high: 42020/60000\n", + " Component | high: 42018/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.202] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00198642 [ 0.07 %]\n", - "Velocity : 0.0084466 [ 0.31 %]\n", - "Force : 0.786086 [ 28.58 %]\n", - "Coefs : 0.468547 [ 17.03 %]\n", - "Output : 0.0244149 [ 0.89 %]\n", - "Levels : 0.000697029 [ 0.03 %]\n", - "Report : 1.312e-06 [ 0.00 %]\n", - "Balance : 8.95e-07 [ 0.00 %]\n", - "Adjust : 1.45983 [ 53.07 %]\n", - "Total : 2.7508 [100.00 %]\n", + "Drift : 0.000754656 [ 0.06 %]\n", + "Velocity : 0.00309941 [ 0.26 %]\n", + "Force : 0.405752 [ 33.83 %]\n", + "Coefs : 0.157757 [ 13.15 %]\n", + "Output : 0.0090667 [ 0.76 %]\n", + "Levels : 0.00037336 [ 0.03 %]\n", + "Report : 1.164e-06 [ 0.00 %]\n", + "Balance : 7.24e-07 [ 0.00 %]\n", + "Adjust : 0.622184 [ 51.87 %]\n", + "Total : 1.19946 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.9%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.3061e-02 sec\n", - "--- Collate = 1.0037e-04 sec\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.6122e-03 sec\n", + "--- Collate = 6.3793e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.413630e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.402221e-02 > 2.000000e-03 [42019]\n", + "--- Max DT=2.402148e-02 > 2.000000e-03 [42020]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 42019/60000\n", + " Component | high: 42020/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.204] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00181593 [ 0.08 %]\n", - "Velocity : 0.0087174 [ 0.38 %]\n", - "Force : 0.700196 [ 30.19 %]\n", - "Coefs : 0.372707 [ 16.07 %]\n", - "Output : 0.0240448 [ 1.04 %]\n", - "Levels : 0.000570506 [ 0.02 %]\n", - "Report : 1e-06 [ 0.00 %]\n", - "Balance : 6.25e-07 [ 0.00 %]\n", - "Adjust : 1.21066 [ 52.19 %]\n", - "Total : 2.31951 [100.00 %]\n", + "Drift : 0.000773892 [ 0.06 %]\n", + "Velocity : 0.00344551 [ 0.28 %]\n", + "Force : 0.414819 [ 34.16 %]\n", + "Coefs : 0.162127 [ 13.35 %]\n", + "Output : 0.00932344 [ 0.77 %]\n", + "Levels : 0.000321403 [ 0.03 %]\n", + "Report : 1.453e-06 [ 0.00 %]\n", + "Balance : 5.37e-07 [ 0.00 %]\n", + "Adjust : 0.623184 [ 51.31 %]\n", + "Total : 1.21445 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.4%\n", + "--- Coef/DT = 5.3%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 2.4808e-02 sec\n", - "--- Collate = 9.1480e-05 sec\n", + "--- Update = 7.8070e-03 sec\n", + "--- Collate = 9.8181e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.402496e-02 > 2.000000e-03 [42008]\n", + "--- Max DT=2.402502e-02 > 2.000000e-03 [42012]\n", "----------------------------------------------------------------------\n", - " Component | high: 42008/60000\n", + " Component | high: 42012/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.206] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00191687 [ 0.08 %]\n", - "Velocity : 0.00802001 [ 0.32 %]\n", - "Force : 0.730611 [ 29.32 %]\n", - "Coefs : 0.378084 [ 15.17 %]\n", - "Output : 0.0247719 [ 0.99 %]\n", - "Levels : 0.000779829 [ 0.03 %]\n", - "Report : 1.788e-06 [ 0.00 %]\n", - "Balance : 1.25e-06 [ 0.00 %]\n", - "Adjust : 1.34724 [ 54.06 %]\n", - "Total : 2.49223 [100.00 %]\n", - "----------------------------------------------------------------------\n", - "\n", - "----------------------------------------------------------------------\n", - "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 2.2191e-02 sec\n", - "--- Collate = 8.5039e-05 sec\n", + "Drift : 0.000686205 [ 0.06 %]\n", + "Velocity : 0.00289967 [ 0.25 %]\n", + "Force : 0.390529 [ 34.09 %]\n", + "Coefs : 0.151887 [ 13.26 %]\n", + "Output : 0.0078669 [ 0.69 %]\n", + "Levels : 0.00032674 [ 0.03 %]\n", + "Report : 1.208e-06 [ 0.00 %]\n", + "Balance : 5.85e-07 [ 0.00 %]\n", + "Adjust : 0.590841 [ 51.58 %]\n", + "Total : 1.14544 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.8998e-03 sec\n", + "--- Collate = 6.1887e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.740524e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.402991e-02 > 2.000000e-03 [42009]\n", + "--- Max DT=2.403047e-02 > 2.000000e-03 [42009]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", " Component | high: 42009/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -3775,91 +3525,94 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.208] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00172049 [ 0.07 %]\n", - "Velocity : 0.00774799 [ 0.30 %]\n", - "Force : 0.710078 [ 27.45 %]\n", - "Coefs : 0.37669 [ 14.56 %]\n", - "Output : 0.0237849 [ 0.92 %]\n", - "Levels : 0.000659015 [ 0.03 %]\n", - "Report : 1.823e-06 [ 0.00 %]\n", - "Balance : 7.57e-07 [ 0.00 %]\n", - "Adjust : 1.4649 [ 56.64 %]\n", - "Total : 2.58649 [100.00 %]\n", + "Drift : 0.000723025 [ 0.06 %]\n", + "Velocity : 0.00291894 [ 0.25 %]\n", + "Force : 0.405906 [ 34.11 %]\n", + "Coefs : 0.158099 [ 13.29 %]\n", + "Output : 0.00822656 [ 0.69 %]\n", + "Levels : 0.000299759 [ 0.03 %]\n", + "Report : 1.1e-06 [ 0.00 %]\n", + "Balance : 4.18e-07 [ 0.00 %]\n", + "Adjust : 0.613285 [ 51.54 %]\n", + "Total : 1.18988 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.1%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.0731e-02 sec\n", - "--- Collate = 7.8084e-05 sec\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.0753e-03 sec\n", + "--- Collate = 7.5435e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.403555e-02 > 2.000000e-03 [42012]\n", + "--- Min DT=3.493120e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.403359e-02 > 2.000000e-03 [42008]\n", "----------------------------------------------------------------------\n", - " Component | high: 42012/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 42008/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.21] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00149378 [ 0.05 %]\n", - "Velocity : 0.00950526 [ 0.33 %]\n", - "Force : 0.798064 [ 27.51 %]\n", - "Coefs : 0.578284 [ 19.94 %]\n", - "Output : 0.0196854 [ 0.68 %]\n", - "Levels : 0.000700135 [ 0.02 %]\n", - "Report : 1.027e-06 [ 0.00 %]\n", - "Balance : 5.66e-07 [ 0.00 %]\n", - "Adjust : 1.49215 [ 51.44 %]\n", - "Total : 2.90073 [100.00 %]\n", + "Drift : 0.000702072 [ 0.06 %]\n", + "Velocity : 0.00275825 [ 0.24 %]\n", + "Force : 0.389842 [ 34.24 %]\n", + "Coefs : 0.149479 [ 13.13 %]\n", + "Output : 0.00762067 [ 0.67 %]\n", + "Levels : 0.00027787 [ 0.02 %]\n", + "Report : 1.058e-06 [ 0.00 %]\n", + "Balance : 6.05e-07 [ 0.00 %]\n", + "Adjust : 0.587356 [ 51.59 %]\n", + "Total : 1.13842 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 7.5%\n", + "--- Coef/DT = 4.8%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.3867e-02 sec\n", - "--- Collate = 8.5023e-05 sec\n", + "--- Update = 8.2252e-03 sec\n", + "--- Collate = 6.2434e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.403491e-02 > 2.000000e-03 [42024]\n", + "--- Max DT=2.403401e-02 > 2.000000e-03 [42025]\n", "----------------------------------------------------------------------\n", - " Component | high: 42024/60000\n", + " Component | high: 42025/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.212] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00189997 [ 0.05 %]\n", - "Velocity : 0.00858565 [ 0.23 %]\n", - "Force : 0.963193 [ 26.16 %]\n", - "Coefs : 1.02243 [ 27.77 %]\n", - "Output : 0.0243455 [ 0.66 %]\n", - "Levels : 0.000658547 [ 0.02 %]\n", - "Report : 1.672e-06 [ 0.00 %]\n", - "Balance : 7.74e-07 [ 0.00 %]\n", - "Adjust : 1.65988 [ 45.08 %]\n", - "Total : 3.68178 [100.00 %]\n", + "Drift : 0.000671485 [ 0.06 %]\n", + "Velocity : 0.00292443 [ 0.25 %]\n", + "Force : 0.396479 [ 33.94 %]\n", + "Coefs : 0.153843 [ 13.17 %]\n", + "Output : 0.00823073 [ 0.70 %]\n", + "Levels : 0.000304818 [ 0.03 %]\n", + "Report : 1.4e-06 [ 0.00 %]\n", + "Balance : 4.47e-07 [ 0.00 %]\n", + "Adjust : 0.605159 [ 51.81 %]\n", + "Total : 1.16801 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.0%\n", - "--- Adj/Tot = 1.4%\n", - "--- Update = 1.2633e-02 sec\n", - "--- Collate = 6.6444e-05 sec\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.8009e-03 sec\n", + "--- Collate = 9.2370e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.402881e-02 > 2.000000e-03 [42018]\n", + "--- Max DT=2.403046e-02 > 2.000000e-03 [42018]\n", "----------------------------------------------------------------------\n", " Component | high: 42018/60000\n", " Component | high: 0/20000\n", @@ -3868,442 +3621,466 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.214] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00194835 [ 0.06 %]\n", - "Velocity : 0.00812109 [ 0.26 %]\n", - "Force : 0.822605 [ 26.10 %]\n", - "Coefs : 0.625068 [ 19.83 %]\n", - "Output : 0.0237729 [ 0.75 %]\n", - "Levels : 0.000610655 [ 0.02 %]\n", - "Report : 1.558e-06 [ 0.00 %]\n", - "Balance : 7.94e-07 [ 0.00 %]\n", - "Adjust : 1.6691 [ 52.95 %]\n", - "Total : 3.152 [100.00 %]\n", + "Drift : 0.00068194 [ 0.06 %]\n", + "Velocity : 0.00302054 [ 0.26 %]\n", + "Force : 0.394606 [ 33.79 %]\n", + "Coefs : 0.155346 [ 13.30 %]\n", + "Output : 0.00826287 [ 0.71 %]\n", + "Levels : 0.000318984 [ 0.03 %]\n", + "Report : 1.224e-06 [ 0.00 %]\n", + "Balance : 5.87e-07 [ 0.00 %]\n", + "Adjust : 0.605057 [ 51.82 %]\n", + "Total : 1.16769 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.8%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.1260e-02 sec\n", - "--- Collate = 7.8938e-05 sec\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.9410e-03 sec\n", + "--- Collate = 6.8116e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.402429e-02 > 2.000000e-03 [42021]\n", + "--- Max DT=2.402703e-02 > 2.000000e-03 [42022]\n", "----------------------------------------------------------------------\n", - " Component | high: 42021/60000\n", + " Component | high: 42022/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.216] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00209658 [ 0.08 %]\n", - "Velocity : 0.00806436 [ 0.33 %]\n", - "Force : 0.675706 [ 27.28 %]\n", - "Coefs : 0.458997 [ 18.53 %]\n", - "Output : 0.0241024 [ 0.97 %]\n", - "Levels : 0.000594255 [ 0.02 %]\n", - "Report : 1.436e-06 [ 0.00 %]\n", - "Balance : 7.5e-07 [ 0.00 %]\n", - "Adjust : 1.30635 [ 52.75 %]\n", - "Total : 2.47673 [100.00 %]\n", + "Drift : 0.000692313 [ 0.06 %]\n", + "Velocity : 0.00285252 [ 0.25 %]\n", + "Force : 0.387392 [ 34.18 %]\n", + "Coefs : 0.149575 [ 13.20 %]\n", + "Output : 0.00781893 [ 0.69 %]\n", + "Levels : 0.000328628 [ 0.03 %]\n", + "Report : 1.183e-06 [ 0.00 %]\n", + "Balance : 5.99e-07 [ 0.00 %]\n", + "Adjust : 0.584452 [ 51.56 %]\n", + "Total : 1.13351 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.4%\n", + "--- Coef/DT = 5.8%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 1.1247e-02 sec\n", - "--- Collate = 7.8939e-05 sec\n", + "--- Update = 8.2181e-03 sec\n", + "--- Collate = 6.8001e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.591441e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.401835e-02 > 2.000000e-03 [42023]\n", + "--- Min DT=3.301203e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.402182e-02 > 2.000000e-03 [42022]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 42023/60000\n", + " Component | high: 42022/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.218] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00198442 [ 0.08 %]\n", - "Velocity : 0.0121158 [ 0.47 %]\n", - "Force : 0.763142 [ 29.73 %]\n", - "Coefs : 0.414604 [ 16.15 %]\n", - "Output : 0.0244233 [ 0.95 %]\n", - "Levels : 0.000713722 [ 0.03 %]\n", - "Report : 1.533e-06 [ 0.00 %]\n", - "Balance : 7.72e-07 [ 0.00 %]\n", - "Adjust : 1.34924 [ 52.56 %]\n", - "Total : 2.56702 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000665391 [ 0.06 %]\n", + "Velocity : 0.00318213 [ 0.27 %]\n", + "Force : 0.402382 [ 34.11 %]\n", + "Coefs : 0.155565 [ 13.19 %]\n", + "Output : 0.00910593 [ 0.77 %]\n", + "Levels : 0.000341383 [ 0.03 %]\n", + "Report : 1.239e-06 [ 0.00 %]\n", + "Balance : 5.59e-07 [ 0.00 %]\n", + "Adjust : 0.607975 [ 51.54 %]\n", + "Total : 1.17963 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.5173e-02 sec\n", - "--- Collate = 8.0927e-05 sec\n", + "--- Coef/DT = 6.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.9841e-03 sec\n", + "--- Collate = 7.1225e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.401583e-02 > 2.000000e-03 [42000]\n", + "--- Max DT=2.401750e-02 > 2.000000e-03 [42000]\n", "----------------------------------------------------------------------\n", - " Component | high: 41999/60000\n", - " Component | high: 1/20000\n", + " Component | high: 42000/60000\n", + " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.22] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00165662 [ 0.06 %]\n", - "Velocity : 0.00735521 [ 0.25 %]\n", - "Force : 0.786036 [ 26.54 %]\n", - "Coefs : 0.448686 [ 15.15 %]\n", - "Output : 0.17399 [ 5.87 %]\n", - "Levels : 0.000743331 [ 0.03 %]\n", - "Report : 1.528e-06 [ 0.00 %]\n", - "Balance : 9.15e-07 [ 0.00 %]\n", - "Adjust : 1.54226 [ 52.08 %]\n", - "Total : 2.96159 [100.00 %]\n", + "Drift : 0.000728334 [ 0.06 %]\n", + "Velocity : 0.00310254 [ 0.25 %]\n", + "Force : 0.395444 [ 31.65 %]\n", + "Coefs : 0.15484 [ 12.39 %]\n", + "Output : 0.0896374 [ 7.17 %]\n", + "Levels : 0.000377946 [ 0.03 %]\n", + "Report : 1.294e-06 [ 0.00 %]\n", + "Balance : 5.91e-07 [ 0.00 %]\n", + "Adjust : 0.60474 [ 48.41 %]\n", + "Total : 1.24932 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 7.5%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.3935e-02 sec\n", - "--- Collate = 8.8888e-05 sec\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.0079e-03 sec\n", + "--- Collate = 7.0636e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.401813e-02 > 2.000000e-03 [41995]\n", + "--- Max DT=2.401759e-02 > 2.000000e-03 [41997]\n", "----------------------------------------------------------------------\n", - " Component | high: 41995/60000\n", + " Component | high: 41997/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.222] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00197065 [ 0.07 %]\n", - "Velocity : 0.00853183 [ 0.32 %]\n", - "Force : 0.722227 [ 27.26 %]\n", - "Coefs : 0.42237 [ 15.94 %]\n", - "Output : 0.0261904 [ 0.99 %]\n", - "Levels : 0.000712398 [ 0.03 %]\n", - "Report : 1.466e-06 [ 0.00 %]\n", - "Balance : 7.65e-07 [ 0.00 %]\n", - "Adjust : 1.46608 [ 55.35 %]\n", - "Total : 2.64893 [100.00 %]\n", + "Drift : 0.000804851 [ 0.07 %]\n", + "Velocity : 0.0031918 [ 0.27 %]\n", + "Force : 0.39836 [ 34.17 %]\n", + "Coefs : 0.153014 [ 13.13 %]\n", + "Output : 0.00856929 [ 0.74 %]\n", + "Levels : 0.000317903 [ 0.03 %]\n", + "Report : 1.362e-06 [ 0.00 %]\n", + "Balance : 4.51e-07 [ 0.00 %]\n", + "Adjust : 0.600958 [ 51.56 %]\n", + "Total : 1.16565 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.3%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.5226e-02 sec\n", - "--- Collate = 9.2043e-05 sec\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.1598e-03 sec\n", + "--- Collate = 7.0652e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.402690e-02 > 2.000000e-03 [42015]\n", + "--- Max DT=2.402482e-02 > 2.000000e-03 [42013]\n", "----------------------------------------------------------------------\n", - " Component | high: 42015/60000\n", + " Component | high: 42013/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.224] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00191985 [ 0.08 %]\n", - "Velocity : 0.00724902 [ 0.31 %]\n", - "Force : 0.674858 [ 28.90 %]\n", - "Coefs : 0.325133 [ 13.93 %]\n", - "Output : 0.0249156 [ 1.07 %]\n", - "Levels : 0.000726875 [ 0.03 %]\n", - "Report : 1.704e-06 [ 0.00 %]\n", - "Balance : 7.65e-07 [ 0.00 %]\n", - "Adjust : 1.29919 [ 55.64 %]\n", - "Total : 2.33481 [100.00 %]\n", + "Drift : 0.000705195 [ 0.06 %]\n", + "Velocity : 0.00294917 [ 0.25 %]\n", + "Force : 0.406478 [ 34.02 %]\n", + "Coefs : 0.157003 [ 13.14 %]\n", + "Output : 0.00878006 [ 0.73 %]\n", + "Levels : 0.000405541 [ 0.03 %]\n", + "Report : 1.61e-06 [ 0.00 %]\n", + "Balance : 7.55e-07 [ 0.00 %]\n", + "Adjust : 0.618127 [ 51.73 %]\n", + "Total : 1.19488 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.6%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.8891e-02 sec\n", - "--- Collate = 9.8419e-05 sec\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.2480e-03 sec\n", + "--- Collate = 7.1633e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.403363e-02 > 2.000000e-03 [42016]\n", + "--- Max DT=2.403175e-02 > 2.000000e-03 [42017]\n", "----------------------------------------------------------------------\n", - " Component | high: 42016/60000\n", + " Component | high: 42017/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.226] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00192067 [ 0.08 %]\n", - "Velocity : 0.00847903 [ 0.37 %]\n", - "Force : 0.639663 [ 27.71 %]\n", - "Coefs : 0.472654 [ 20.48 %]\n", - "Output : 0.0233017 [ 1.01 %]\n", - "Levels : 0.00144295 [ 0.06 %]\n", - "Report : 1.223e-06 [ 0.00 %]\n", - "Balance : 6.86e-07 [ 0.00 %]\n", - "Adjust : 1.16007 [ 50.26 %]\n", - "Total : 2.30833 [100.00 %]\n", + "Drift : 0.000773487 [ 0.07 %]\n", + "Velocity : 0.00319059 [ 0.28 %]\n", + "Force : 0.389784 [ 33.65 %]\n", + "Coefs : 0.153689 [ 13.27 %]\n", + "Output : 0.00839815 [ 0.73 %]\n", + "Levels : 0.000345984 [ 0.03 %]\n", + "Report : 1.402e-06 [ 0.00 %]\n", + "Balance : 7.29e-07 [ 0.00 %]\n", + "Adjust : 0.601697 [ 51.95 %]\n", + "Total : 1.15831 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.9%\n", + "--- Coef/DT = 5.4%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.1687e-02 sec\n", - "--- Collate = 9.4483e-05 sec\n", + "--- Update = 8.1542e-03 sec\n", + "--- Collate = 7.3224e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.403760e-02 > 2.000000e-03 [42003]\n", + "--- Max DT=2.403589e-02 > 2.000000e-03 [42004]\n", "----------------------------------------------------------------------\n", - " Component | high: 42003/60000\n", + " Component | high: 42004/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.228] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00204434 [ 0.09 %]\n", - "Velocity : 0.00842267 [ 0.37 %]\n", - "Force : 0.612062 [ 26.99 %]\n", - "Coefs : 0.460082 [ 20.29 %]\n", - "Output : 0.0245586 [ 1.08 %]\n", - "Levels : 0.000613444 [ 0.03 %]\n", - "Report : 1.168e-06 [ 0.00 %]\n", - "Balance : 9.31e-07 [ 0.00 %]\n", - "Adjust : 1.15949 [ 51.12 %]\n", - "Total : 2.26805 [100.00 %]\n", + "Drift : 0.000716816 [ 0.06 %]\n", + "Velocity : 0.00304287 [ 0.25 %]\n", + "Force : 0.402983 [ 33.34 %]\n", + "Coefs : 0.156039 [ 12.91 %]\n", + "Output : 0.00946563 [ 0.78 %]\n", + "Levels : 0.00855936 [ 0.71 %]\n", + "Report : 1.223e-06 [ 0.00 %]\n", + "Balance : 5.85e-07 [ 0.00 %]\n", + "Adjust : 0.627425 [ 51.91 %]\n", + "Total : 1.20869 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.7%\n", + "--- Coef/DT = 5.4%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 1.2815e-02 sec\n", - "--- Collate = 8.2670e-05 sec\n", + "--- Update = 8.7986e-03 sec\n", + "--- Collate = 7.2215e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.403360e-02 > 2.000000e-03 [42013]\n", + "--- Min DT=3.132391e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.403316e-02 > 2.000000e-03 [42014]\n", "----------------------------------------------------------------------\n", - " Component | high: 42013/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 42014/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.23] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00193054 [ 0.09 %]\n", - "Velocity : 0.00661114 [ 0.32 %]\n", - "Force : 0.666053 [ 31.81 %]\n", - "Coefs : 0.301396 [ 14.39 %]\n", - "Output : 0.0206275 [ 0.99 %]\n", - "Levels : 0.000691742 [ 0.03 %]\n", - "Report : 1.536e-06 [ 0.00 %]\n", - "Balance : 8.59e-07 [ 0.00 %]\n", - "Adjust : 1.09578 [ 52.33 %]\n", - "Total : 2.09396 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000784262 [ 0.07 %]\n", + "Velocity : 0.00323947 [ 0.27 %]\n", + "Force : 0.406501 [ 34.13 %]\n", + "Coefs : 0.158054 [ 13.27 %]\n", + "Output : 0.0082364 [ 0.69 %]\n", + "Levels : 0.000328931 [ 0.03 %]\n", + "Report : 1.252e-06 [ 0.00 %]\n", + "Balance : 7.03e-07 [ 0.00 %]\n", + "Adjust : 0.613302 [ 51.50 %]\n", + "Total : 1.19086 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.1%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0143e-02 sec\n", - "--- Collate = 1.3336e-04 sec\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.7874e-03 sec\n", + "--- Collate = 1.0879e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.403066e-02 > 2.000000e-03 [42044]\n", + "--- Min DT=2.106135e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.403264e-02 > 2.000000e-03 [42046]\n", "----------------------------------------------------------------------\n", - " Component | high: 42044/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 42046/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.232] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0014195 [ 0.06 %]\n", - "Velocity : 0.00638997 [ 0.28 %]\n", - "Force : 0.639982 [ 28.46 %]\n", - "Coefs : 0.364417 [ 16.21 %]\n", - "Output : 0.0169748 [ 0.75 %]\n", - "Levels : 0.000769132 [ 0.03 %]\n", - "Report : 1.56e-06 [ 0.00 %]\n", - "Balance : 7.39e-07 [ 0.00 %]\n", - "Adjust : 1.21767 [ 54.16 %]\n", - "Total : 2.24842 [100.00 %]\n", + "Drift : 0.000950606 [ 0.07 %]\n", + "Velocity : 0.0044921 [ 0.35 %]\n", + "Force : 0.435262 [ 33.83 %]\n", + "Coefs : 0.166083 [ 12.91 %]\n", + "Output : 0.0132806 [ 1.03 %]\n", + "Levels : 0.000453397 [ 0.04 %]\n", + "Report : 1.428e-06 [ 0.00 %]\n", + "Balance : 6.37e-07 [ 0.00 %]\n", + "Adjust : 0.665515 [ 51.73 %]\n", + "Total : 1.28656 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.3%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 6.3992e-02 sec\n", - "--- Collate = 3.9100e-05 sec\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.6821e-03 sec\n", + "--- Collate = 6.7060e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.402471e-02 > 2.000000e-03 [42042]\n", + "--- Min DT=2.794177e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.402915e-02 > 2.000000e-03 [42041]\n", "----------------------------------------------------------------------\n", - " Component | high: 42042/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 42041/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.234] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00244925 [ 0.07 %]\n", - "Velocity : 0.00822174 [ 0.24 %]\n", - "Force : 0.88462 [ 25.84 %]\n", - "Coefs : 0.544256 [ 15.90 %]\n", - "Output : 0.0336558 [ 0.98 %]\n", - "Levels : 0.0005993 [ 0.02 %]\n", - "Report : 1.832e-06 [ 0.00 %]\n", - "Balance : 1.17e-06 [ 0.00 %]\n", - "Adjust : 1.94882 [ 56.93 %]\n", - "Total : 3.42348 [100.00 %]\n", + "Drift : 0.000953194 [ 0.08 %]\n", + "Velocity : 0.00353202 [ 0.29 %]\n", + "Force : 0.418464 [ 34.39 %]\n", + "Coefs : 0.160907 [ 13.22 %]\n", + "Output : 0.00935415 [ 0.77 %]\n", + "Levels : 0.000334454 [ 0.03 %]\n", + "Report : 1.066e-06 [ 0.00 %]\n", + "Balance : 6.32e-07 [ 0.00 %]\n", + "Adjust : 0.622943 [ 51.19 %]\n", + "Total : 1.21696 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", + "--- Coef/DT = 6.1%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 1.5597e-02 sec\n", - "--- Collate = 7.0006e-05 sec\n", + "--- Update = 7.7631e-03 sec\n", + "--- Collate = 6.2249e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.936060e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.402107e-02 > 2.000000e-03 [42057]\n", + "--- Max DT=2.402625e-02 > 2.000000e-03 [42059]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 42057/60000\n", + " Component | high: 42059/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.236] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00385994 [ 0.18 %]\n", - "Velocity : 0.00689981 [ 0.32 %]\n", - "Force : 0.694648 [ 32.34 %]\n", - "Coefs : 0.317445 [ 14.78 %]\n", - "Output : 0.017231 [ 0.80 %]\n", - "Levels : 0.000684691 [ 0.03 %]\n", - "Report : 1.169e-06 [ 0.00 %]\n", - "Balance : 7.24e-07 [ 0.00 %]\n", - "Adjust : 1.10617 [ 51.50 %]\n", - "Total : 2.14777 [100.00 %]\n", + "Drift : 0.000839847 [ 0.07 %]\n", + "Velocity : 0.00329813 [ 0.27 %]\n", + "Force : 0.422479 [ 34.58 %]\n", + "Coefs : 0.160371 [ 13.13 %]\n", + "Output : 0.0101659 [ 0.83 %]\n", + "Levels : 0.000356053 [ 0.03 %]\n", + "Report : 1.001e-06 [ 0.00 %]\n", + "Balance : 4.99e-07 [ 0.00 %]\n", + "Adjust : 0.623836 [ 51.06 %]\n", + "Total : 1.22181 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", + "--- Coef/DT = 5.7%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 2.2149e-02 sec\n", - "--- Collate = 1.0253e-04 sec\n", + "--- Update = 8.0023e-03 sec\n", + "--- Collate = 6.8332e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.769219e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.401767e-02 > 2.000000e-03 [42056]\n", + "--- Min DT=2.264300e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.402371e-02 > 2.000000e-03 [42054]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 42056/60000\n", + " Component | low: 1/60000\n", + " Component | low: 0/20000\n", + " Component | high: 42054/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.238] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00163761 [ 0.07 %]\n", - "Velocity : 0.00669491 [ 0.28 %]\n", - "Force : 0.67281 [ 28.04 %]\n", - "Coefs : 0.365826 [ 15.25 %]\n", - "Output : 0.019259 [ 0.80 %]\n", - "Levels : 0.00057529 [ 0.02 %]\n", - "Report : 1.426e-06 [ 0.00 %]\n", - "Balance : 8.68e-07 [ 0.00 %]\n", - "Adjust : 1.33164 [ 55.50 %]\n", - "Total : 2.39931 [100.00 %]\n", + "Drift : 0.000773418 [ 0.07 %]\n", + "Velocity : 0.00308954 [ 0.26 %]\n", + "Force : 0.399592 [ 33.77 %]\n", + "Coefs : 0.15736 [ 13.30 %]\n", + "Output : 0.00865247 [ 0.73 %]\n", + "Levels : 0.000323962 [ 0.03 %]\n", + "Report : 1.6085e-05 [ 0.00 %]\n", + "Balance : 7.15e-07 [ 0.00 %]\n", + "Adjust : 0.61299 [ 51.81 %]\n", + "Total : 1.18325 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.1%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.0965e-02 sec\n", - "--- Collate = 9.3105e-05 sec\n", + "--- Coef/DT = 7.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.8000e-03 sec\n", + "--- Collate = 6.2253e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.401733e-02 > 2.000000e-03 [42078]\n", + "--- Min DT=3.858181e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.402334e-02 > 2.000000e-03 [42081]\n", "----------------------------------------------------------------------\n", - " Component | high: 42078/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 42081/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.24] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00144175 [ 0.06 %]\n", - "Velocity : 0.00541238 [ 0.21 %]\n", - "Force : 0.656298 [ 25.80 %]\n", - "Coefs : 0.458079 [ 18.01 %]\n", - "Output : 0.183679 [ 7.22 %]\n", - "Levels : 0.000609227 [ 0.02 %]\n", - "Report : 1.419e-06 [ 0.00 %]\n", - "Balance : 8.59e-07 [ 0.00 %]\n", - "Adjust : 1.23773 [ 48.65 %]\n", - "Total : 2.54415 [100.00 %]\n", + "Drift : 0.000702631 [ 0.06 %]\n", + "Velocity : 0.00299583 [ 0.25 %]\n", + "Force : 0.38885 [ 31.93 %]\n", + "Coefs : 0.149118 [ 12.24 %]\n", + "Output : 0.0884598 [ 7.26 %]\n", + "Levels : 0.000316139 [ 0.03 %]\n", + "Report : 1.333e-06 [ 0.00 %]\n", + "Balance : 6.4e-07 [ 0.00 %]\n", + "Adjust : 0.587102 [ 48.20 %]\n", + "Total : 1.21793 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.6667e-02 sec\n", - "--- Collate = 1.3734e-04 sec\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.1787e-03 sec\n", + "--- Collate = 7.5570e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.401903e-02 > 2.000000e-03 [42076]\n", + "--- Min DT=3.882681e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.402166e-02 > 2.000000e-03 [42076]\n", "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", " Component | high: 42076/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -4311,191 +4088,203 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.242] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00151532 [ 0.06 %]\n", - "Velocity : 0.0123651 [ 0.48 %]\n", - "Force : 0.764041 [ 29.71 %]\n", - "Coefs : 0.483339 [ 18.79 %]\n", - "Output : 0.0185124 [ 0.72 %]\n", - "Levels : 0.000751354 [ 0.03 %]\n", - "Report : 1.166e-06 [ 0.00 %]\n", - "Balance : 7.89e-07 [ 0.00 %]\n", - "Adjust : 1.29028 [ 50.17 %]\n", - "Total : 2.57168 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00100364 [ 0.08 %]\n", + "Velocity : 0.00445499 [ 0.37 %]\n", + "Force : 0.405968 [ 33.94 %]\n", + "Coefs : 0.156401 [ 13.08 %]\n", + "Output : 0.0131547 [ 1.10 %]\n", + "Levels : 0.000477292 [ 0.04 %]\n", + "Report : 1.723e-06 [ 0.00 %]\n", + "Balance : 5.65e-07 [ 0.00 %]\n", + "Adjust : 0.613998 [ 51.34 %]\n", + "Total : 1.19601 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.7%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.0770e-02 sec\n", - "--- Collate = 1.0008e-04 sec\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.1437e-03 sec\n", + "--- Collate = 8.9939e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.401528e-02 > 2.000000e-03 [42076]\n", + "--- Min DT=3.230904e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.401823e-02 > 2.000000e-03 [42075]\n", "----------------------------------------------------------------------\n", - " Component | high: 42076/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 42075/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.244] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00137757 [ 0.06 %]\n", - "Velocity : 0.00588822 [ 0.27 %]\n", - "Force : 0.661915 [ 30.24 %]\n", - "Coefs : 0.308264 [ 14.09 %]\n", - "Output : 0.0185716 [ 0.85 %]\n", - "Levels : 0.000596067 [ 0.03 %]\n", - "Report : 1.601e-06 [ 0.00 %]\n", - "Balance : 8.17e-07 [ 0.00 %]\n", - "Adjust : 1.19111 [ 54.42 %]\n", - "Total : 2.18856 [100.00 %]\n", + "Drift : 0.000859786 [ 0.07 %]\n", + "Velocity : 0.00339114 [ 0.28 %]\n", + "Force : 0.414579 [ 34.24 %]\n", + "Coefs : 0.158358 [ 13.08 %]\n", + "Output : 0.00886199 [ 0.73 %]\n", + "Levels : 0.000319318 [ 0.03 %]\n", + "Report : 1.284e-06 [ 0.00 %]\n", + "Balance : 5.82e-07 [ 0.00 %]\n", + "Adjust : 0.623912 [ 51.53 %]\n", + "Total : 1.21072 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.3285e-02 sec\n", - "--- Collate = 9.3801e-05 sec\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.3346e-03 sec\n", + "--- Collate = 7.4935e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.386335e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.402008e-02 > 2.000000e-03 [42079]\n", + "--- Min DT=1.965606e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.402058e-02 > 2.000000e-03 [42077]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 42079/60000\n", - " Component | high: 0/20000\n", + " Component | low: 2/20000\n", + " Component | high: 42076/60000\n", + " Component | high: 1/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.246] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00145377 [ 0.06 %]\n", - "Velocity : 0.00680869 [ 0.27 %]\n", - "Force : 0.69743 [ 27.47 %]\n", - "Coefs : 0.449942 [ 17.72 %]\n", - "Output : 0.0179933 [ 0.71 %]\n", - "Levels : 0.000560964 [ 0.02 %]\n", - "Report : 1.696e-06 [ 0.00 %]\n", - "Balance : 9.17e-07 [ 0.00 %]\n", - "Adjust : 1.36426 [ 53.73 %]\n", - "Total : 2.53926 [100.00 %]\n", + "Drift : 0.000732235 [ 0.06 %]\n", + "Velocity : 0.00305322 [ 0.25 %]\n", + "Force : 0.423731 [ 34.34 %]\n", + "Coefs : 0.161894 [ 13.12 %]\n", + "Output : 0.00876236 [ 0.71 %]\n", + "Levels : 0.000351015 [ 0.03 %]\n", + "Report : 1.232e-06 [ 0.00 %]\n", + "Balance : 5.95e-07 [ 0.00 %]\n", + "Adjust : 0.634985 [ 51.46 %]\n", + "Total : 1.23394 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 14.4%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.2015e-02 sec\n", - "--- Collate = 8.2190e-05 sec\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.0%\n", + "--- Update = 8.2643e-03 sec\n", + "--- Collate = 7.0499e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.403154e-02 > 2.000000e-03 [42073]\n", + "--- Min DT=1.634869e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.402759e-02 > 2.000000e-03 [42071]\n", "----------------------------------------------------------------------\n", - " Component | high: 42073/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 42071/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.248] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00539566 [ 0.21 %]\n", - "Velocity : 0.00654189 [ 0.25 %]\n", - "Force : 0.743183 [ 28.59 %]\n", - "Coefs : 0.424031 [ 16.31 %]\n", - "Output : 0.0288913 [ 1.11 %]\n", - "Levels : 0.000574069 [ 0.02 %]\n", - "Report : 1.495e-06 [ 0.00 %]\n", - "Balance : 8.13e-07 [ 0.00 %]\n", - "Adjust : 1.38976 [ 53.47 %]\n", - "Total : 2.59925 [100.00 %]\n", + "Drift : 0.000720887 [ 0.06 %]\n", + "Velocity : 0.00292227 [ 0.24 %]\n", + "Force : 0.412844 [ 33.96 %]\n", + "Coefs : 0.159667 [ 13.14 %]\n", + "Output : 0.00822297 [ 0.68 %]\n", + "Levels : 0.000377632 [ 0.03 %]\n", + "Report : 1.514e-06 [ 0.00 %]\n", + "Balance : 4.34e-07 [ 0.00 %]\n", + "Adjust : 0.630407 [ 51.86 %]\n", + "Total : 1.21558 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0782e-02 sec\n", - "--- Collate = 8.1957e-05 sec\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.3450e-03 sec\n", + "--- Collate = 9.2213e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.104399e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.403065e-02 > 2.000000e-03 [42078]\n", + "--- Max DT=2.402577e-02 > 2.000000e-03 [42079]\n", "----------------------------------------------------------------------\n", - " Component | low: 1/60000\n", - " Component | low: 1/20000\n", - " Component | high: 42078/60000\n", + " Component | high: 42079/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.25] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00159365 [ 0.06 %]\n", - "Velocity : 0.00705067 [ 0.27 %]\n", - "Force : 0.683904 [ 26.30 %]\n", - "Coefs : 0.443929 [ 17.07 %]\n", - "Output : 0.0229445 [ 0.88 %]\n", - "Levels : 0.000606478 [ 0.02 %]\n", - "Report : 1.243e-06 [ 0.00 %]\n", - "Balance : 7.55e-07 [ 0.00 %]\n", - "Adjust : 1.43918 [ 55.35 %]\n", - "Total : 2.60008 [100.00 %]\n", + "Drift : 0.000745778 [ 0.06 %]\n", + "Velocity : 0.00326749 [ 0.27 %]\n", + "Force : 0.42104 [ 34.28 %]\n", + "Coefs : 0.163221 [ 13.29 %]\n", + "Output : 0.00880575 [ 0.72 %]\n", + "Levels : 0.000281432 [ 0.02 %]\n", + "Report : 1.084e-06 [ 0.00 %]\n", + "Balance : 6.29e-07 [ 0.00 %]\n", + "Adjust : 0.630485 [ 51.33 %]\n", + "Total : 1.22827 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.8%\n", + "--- Coef/DT = 5.1%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0214e-02 sec\n", - "--- Collate = 1.0308e-04 sec\n", + "--- Update = 8.4843e-03 sec\n", + "--- Collate = 6.5798e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.402398e-02 > 2.000000e-03 [42060]\n", + "--- Max DT=2.402054e-02 > 2.000000e-03 [42062]\n", "----------------------------------------------------------------------\n", - " Component | high: 42060/60000\n", + " Component | high: 42062/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.252] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0015286 [ 0.06 %]\n", - "Velocity : 0.00756708 [ 0.31 %]\n", - "Force : 0.670324 [ 27.38 %]\n", - "Coefs : 0.435092 [ 17.77 %]\n", - "Output : 0.0260092 [ 1.06 %]\n", - "Levels : 0.00073094 [ 0.03 %]\n", - "Report : 1.181e-06 [ 0.00 %]\n", - "Balance : 7.27e-07 [ 0.00 %]\n", - "Adjust : 1.30633 [ 53.35 %]\n", - "Total : 2.44839 [100.00 %]\n", + "Drift : 0.000778066 [ 0.06 %]\n", + "Velocity : 0.00377755 [ 0.30 %]\n", + "Force : 0.43844 [ 34.73 %]\n", + "Coefs : 0.1633 [ 12.94 %]\n", + "Output : 0.0103337 [ 0.82 %]\n", + "Levels : 0.000461444 [ 0.04 %]\n", + "Report : 1.867e-06 [ 0.00 %]\n", + "Balance : 7.77e-07 [ 0.00 %]\n", + "Adjust : 0.644887 [ 51.08 %]\n", + "Total : 1.26245 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.4%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 2.1095e-02 sec\n", - "--- Collate = 9.9826e-05 sec\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 9.0745e-03 sec\n", + "--- Collate = 7.3600e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.401917e-02 > 2.000000e-03 [42069]\n", + "--- Min DT=1.770951e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.401790e-02 > 2.000000e-03 [42069]\n", "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", " Component | high: 42069/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -4503,185 +4292,197 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.254] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00190598 [ 0.08 %]\n", - "Velocity : 0.0084521 [ 0.38 %]\n", - "Force : 0.653485 [ 29.05 %]\n", - "Coefs : 0.355654 [ 15.81 %]\n", - "Output : 0.0240436 [ 1.07 %]\n", - "Levels : 0.00170277 [ 0.08 %]\n", - "Report : 1.598e-06 [ 0.00 %]\n", - "Balance : 8.02e-07 [ 0.00 %]\n", - "Adjust : 1.20377 [ 53.51 %]\n", - "Total : 2.24979 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00115704 [ 0.09 %]\n", + "Velocity : 0.00469145 [ 0.36 %]\n", + "Force : 0.454118 [ 34.50 %]\n", + "Coefs : 0.171249 [ 13.01 %]\n", + "Output : 0.0130617 [ 0.99 %]\n", + "Levels : 0.000387368 [ 0.03 %]\n", + "Report : 1.16e-06 [ 0.00 %]\n", + "Balance : 4.59e-07 [ 0.00 %]\n", + "Adjust : 0.671004 [ 50.98 %]\n", + "Total : 1.31625 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.3%\n", + "--- Coef/DT = 4.6%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 1.0447e-02 sec\n", - "--- Collate = 1.1143e-04 sec\n", + "--- Update = 8.0174e-03 sec\n", + "--- Collate = 7.3144e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.401872e-02 > 2.000000e-03 [42059]\n", + "--- Max DT=2.402018e-02 > 2.000000e-03 [42061]\n", "----------------------------------------------------------------------\n", - " Component | high: 42059/60000\n", + " Component | high: 42061/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.256] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00140432 [ 0.05 %]\n", - "Velocity : 0.00588224 [ 0.23 %]\n", - "Force : 0.756404 [ 29.16 %]\n", - "Coefs : 0.406707 [ 15.68 %]\n", - "Output : 0.0177447 [ 0.68 %]\n", - "Levels : 0.000596408 [ 0.02 %]\n", - "Report : 1.649e-06 [ 0.00 %]\n", - "Balance : 1.019e-06 [ 0.00 %]\n", - "Adjust : 1.40477 [ 54.15 %]\n", - "Total : 2.59433 [100.00 %]\n", + "Drift : 0.000769777 [ 0.06 %]\n", + "Velocity : 0.00345164 [ 0.28 %]\n", + "Force : 0.431714 [ 34.84 %]\n", + "Coefs : 0.16261 [ 13.12 %]\n", + "Output : 0.00891772 [ 0.72 %]\n", + "Levels : 0.000309609 [ 0.02 %]\n", + "Report : 1.236e-06 [ 0.00 %]\n", + "Balance : 4.67e-07 [ 0.00 %]\n", + "Adjust : 0.631061 [ 50.92 %]\n", + "Total : 1.23926 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 4.7%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 1.1116e-02 sec\n", - "--- Collate = 8.6632e-05 sec\n", + "--- Update = 8.0071e-03 sec\n", + "--- Collate = 6.4829e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.401721e-02 > 2.000000e-03 [42051]\n", + "--- Max DT=2.401749e-02 > 2.000000e-03 [42048]\n", "----------------------------------------------------------------------\n", - " Component | high: 42051/60000\n", + " Component | high: 42048/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.258] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00138091 [ 0.06 %]\n", - "Velocity : 0.00617493 [ 0.28 %]\n", - "Force : 0.629246 [ 28.12 %]\n", - "Coefs : 0.39997 [ 17.88 %]\n", - "Output : 0.0217711 [ 0.97 %]\n", - "Levels : 0.000725589 [ 0.03 %]\n", - "Report : 1.752e-06 [ 0.00 %]\n", - "Balance : 7.65e-07 [ 0.00 %]\n", - "Adjust : 1.17743 [ 52.62 %]\n", - "Total : 2.23754 [100.00 %]\n", + "Drift : 0.00076969 [ 0.06 %]\n", + "Velocity : 0.00354575 [ 0.30 %]\n", + "Force : 0.404958 [ 33.94 %]\n", + "Coefs : 0.155155 [ 13.00 %]\n", + "Output : 0.00877973 [ 0.74 %]\n", + "Levels : 0.000298105 [ 0.02 %]\n", + "Report : 1.354e-06 [ 0.00 %]\n", + "Balance : 7.25e-07 [ 0.00 %]\n", + "Adjust : 0.619093 [ 51.89 %]\n", + "Total : 1.19307 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.2%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.1470e-02 sec\n", - "--- Collate = 9.6206e-05 sec\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.1222e-03 sec\n", + "--- Collate = 7.5266e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.401082e-02 > 2.000000e-03 [42050]\n", + "--- Max DT=2.400873e-02 > 2.000000e-03 [42051]\n", "----------------------------------------------------------------------\n", - " Component | high: 42050/60000\n", + " Component | high: 42051/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.26] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00176201 [ 0.08 %]\n", - "Velocity : 0.00694208 [ 0.31 %]\n", - "Force : 0.62643 [ 28.30 %]\n", - "Coefs : 0.32228 [ 14.56 %]\n", - "Output : 0.199119 [ 9.00 %]\n", - "Levels : 0.000819599 [ 0.04 %]\n", - "Report : 1.596e-06 [ 0.00 %]\n", - "Balance : 8.29e-07 [ 0.00 %]\n", - "Adjust : 1.05531 [ 47.68 %]\n", - "Total : 2.21349 [100.00 %]\n", + "Drift : 0.000700419 [ 0.06 %]\n", + "Velocity : 0.00290495 [ 0.23 %]\n", + "Force : 0.398149 [ 31.85 %]\n", + "Coefs : 0.151216 [ 12.10 %]\n", + "Output : 0.0924317 [ 7.39 %]\n", + "Levels : 0.000321422 [ 0.03 %]\n", + "Report : 1.327e-06 [ 0.00 %]\n", + "Balance : 7.71e-07 [ 0.00 %]\n", + "Adjust : 0.604059 [ 48.32 %]\n", + "Total : 1.25022 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.3%\n", + "--- Coef/DT = 5.3%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 1.0494e-02 sec\n", - "--- Collate = 8.3329e-05 sec\n", + "--- Update = 8.0729e-03 sec\n", + "--- Collate = 8.8276e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.400134e-02 > 2.000000e-03 [42058]\n", + "--- Max DT=2.400076e-02 > 2.000000e-03 [42057]\n", "----------------------------------------------------------------------\n", - " Component | high: 42058/60000\n", - " Component | high: 0/20000\n", + " Component | high: 42056/60000\n", + " Component | high: 1/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.262] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00144914 [ 0.06 %]\n", - "Velocity : 0.00786596 [ 0.32 %]\n", - "Force : 0.683786 [ 27.95 %]\n", - "Coefs : 0.422359 [ 17.26 %]\n", - "Output : 0.022034 [ 0.90 %]\n", - "Levels : 0.000620949 [ 0.03 %]\n", - "Report : 1.724e-06 [ 0.00 %]\n", - "Balance : 7.68e-07 [ 0.00 %]\n", - "Adjust : 1.30764 [ 53.45 %]\n", - "Total : 2.44664 [100.00 %]\n", + "Drift : 0.000752324 [ 0.07 %]\n", + "Velocity : 0.00307986 [ 0.27 %]\n", + "Force : 0.388809 [ 33.71 %]\n", + "Coefs : 0.151968 [ 13.18 %]\n", + "Output : 0.00804994 [ 0.70 %]\n", + "Levels : 0.000284771 [ 0.02 %]\n", + "Report : 1.214e-06 [ 0.00 %]\n", + "Balance : 4.65e-07 [ 0.00 %]\n", + "Adjust : 0.600122 [ 52.03 %]\n", + "Total : 1.15346 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.1234e-02 sec\n", - "--- Collate = 7.6262e-05 sec\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.1317e-03 sec\n", + "--- Collate = 6.4062e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.399478e-02 > 2.000000e-03 [42045]\n", + "--- Min DT=9.618402e-07 < 7.812500e-06 [1]\n", + "--- Max DT=2.399401e-02 > 2.000000e-03 [42040]\n", "----------------------------------------------------------------------\n", - " Component | high: 42045/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 42040/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.264] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00173703 [ 0.09 %]\n", - "Velocity : 0.0073536 [ 0.36 %]\n", - "Force : 0.600331 [ 29.40 %]\n", - "Coefs : 0.275344 [ 13.48 %]\n", - "Output : 0.0235555 [ 1.15 %]\n", - "Levels : 0.000715605 [ 0.04 %]\n", - "Report : 1.797e-06 [ 0.00 %]\n", - "Balance : 1.302e-06 [ 0.00 %]\n", - "Adjust : 1.132 [ 55.44 %]\n", - "Total : 2.04189 [100.00 %]\n", + "Drift : 0.000738179 [ 0.06 %]\n", + "Velocity : 0.00324855 [ 0.28 %]\n", + "Force : 0.400337 [ 34.04 %]\n", + "Coefs : 0.157135 [ 13.36 %]\n", + "Output : 0.00830834 [ 0.71 %]\n", + "Levels : 0.000316379 [ 0.03 %]\n", + "Report : 1.41e-06 [ 0.00 %]\n", + "Balance : 4.46e-07 [ 0.00 %]\n", + "Adjust : 0.605576 [ 51.49 %]\n", + "Total : 1.17609 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 37.2%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.3656e-02 sec\n", - "--- Collate = 7.8537e-05 sec\n", + "--- Coef/DT = 6.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.0718e-03 sec\n", + "--- Collate = 6.3808e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", + "--- Min DT=1.718250e-06 < 7.812500e-06 [1]\n", "--- Max DT=2.398819e-02 > 2.000000e-03 [42024]\n", "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", " Component | high: 42024/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -4689,33 +4490,36 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.266] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0017878 [ 0.07 %]\n", - "Velocity : 0.00732983 [ 0.29 %]\n", - "Force : 0.736066 [ 28.94 %]\n", - "Coefs : 0.441369 [ 17.35 %]\n", - "Output : 0.0200754 [ 0.79 %]\n", - "Levels : 0.000642567 [ 0.03 %]\n", - "Report : 1.47e-06 [ 0.00 %]\n", - "Balance : 9.41e-07 [ 0.00 %]\n", - "Adjust : 1.33498 [ 52.49 %]\n", - "Total : 2.54321 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000708678 [ 0.06 %]\n", + "Velocity : 0.00280095 [ 0.24 %]\n", + "Force : 0.397126 [ 34.23 %]\n", + "Coefs : 0.153795 [ 13.26 %]\n", + "Output : 0.00773791 [ 0.67 %]\n", + "Levels : 0.000306103 [ 0.03 %]\n", + "Report : 1.287e-06 [ 0.00 %]\n", + "Balance : 3.89e-07 [ 0.00 %]\n", + "Adjust : 0.597396 [ 51.49 %]\n", + "Total : 1.16028 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.6%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.3840e-02 sec\n", - "--- Collate = 8.7876e-05 sec\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.0%\n", + "--- Update = 8.3638e-03 sec\n", + "--- Collate = 7.7096e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.988470e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.398257e-02 > 2.000000e-03 [42026]\n", + "--- Max DT=2.398274e-02 > 2.000000e-03 [42026]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", " Component | high: 42026/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -4723,218 +4527,233 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.268] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00173574 [ 0.06 %]\n", - "Velocity : 0.00716789 [ 0.26 %]\n", - "Force : 0.74759 [ 27.40 %]\n", - "Coefs : 0.42551 [ 15.60 %]\n", - "Output : 0.0266313 [ 0.98 %]\n", - "Levels : 0.000720535 [ 0.03 %]\n", - "Report : 1.14e-06 [ 0.00 %]\n", - "Balance : 7.49e-07 [ 0.00 %]\n", - "Adjust : 1.51784 [ 55.64 %]\n", - "Total : 2.72807 [100.00 %]\n", + "Drift : 0.00071676 [ 0.06 %]\n", + "Velocity : 0.00342079 [ 0.29 %]\n", + "Force : 0.40419 [ 33.72 %]\n", + "Coefs : 0.157002 [ 13.10 %]\n", + "Output : 0.00907058 [ 0.76 %]\n", + "Levels : 0.000359961 [ 0.03 %]\n", + "Report : 1.37e-06 [ 0.00 %]\n", + "Balance : 7.48e-07 [ 0.00 %]\n", + "Adjust : 0.623345 [ 52.01 %]\n", + "Total : 1.19856 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.6%\n", + "--- Coef/DT = 5.1%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 1.3302e-02 sec\n", - "--- Collate = 8.9353e-05 sec\n", + "--- Update = 8.7585e-03 sec\n", + "--- Collate = 7.8663e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.397935e-02 > 2.000000e-03 [42033]\n", + "--- Min DT=3.400225e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.397955e-02 > 2.000000e-03 [42030]\n", "----------------------------------------------------------------------\n", - " Component | high: 42033/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 42030/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.27] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00186875 [ 0.06 %]\n", - "Velocity : 0.00777087 [ 0.27 %]\n", - "Force : 0.792255 [ 27.13 %]\n", - "Coefs : 0.60061 [ 20.57 %]\n", - "Output : 0.0275845 [ 0.94 %]\n", - "Levels : 0.000710886 [ 0.02 %]\n", - "Report : 1.446e-06 [ 0.00 %]\n", - "Balance : 8.85e-07 [ 0.00 %]\n", - "Adjust : 1.48878 [ 50.98 %]\n", - "Total : 2.92043 [100.00 %]\n", + "Drift : 0.000800381 [ 0.07 %]\n", + "Velocity : 0.00361124 [ 0.30 %]\n", + "Force : 0.410474 [ 34.17 %]\n", + "Coefs : 0.15738 [ 13.10 %]\n", + "Output : 0.00853222 [ 0.71 %]\n", + "Levels : 0.000367064 [ 0.03 %]\n", + "Report : 1.363e-06 [ 0.00 %]\n", + "Balance : 5.16e-07 [ 0.00 %]\n", + "Adjust : 0.619801 [ 51.59 %]\n", + "Total : 1.20138 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", + "--- Coef/DT = 6.1%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 1.9175e-02 sec\n", - "--- Collate = 1.4972e-04 sec\n", + "--- Update = 8.3649e-03 sec\n", + "--- Collate = 7.4471e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.397665e-02 > 2.000000e-03 [42037]\n", + "--- Min DT=2.869317e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.398009e-02 > 2.000000e-03 [42035]\n", "----------------------------------------------------------------------\n", - " Component | high: 42037/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 42035/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.272] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00192465 [ 0.08 %]\n", - "Velocity : 0.00838562 [ 0.33 %]\n", - "Force : 0.704483 [ 27.91 %]\n", - "Coefs : 0.409945 [ 16.24 %]\n", - "Output : 0.0214621 [ 0.85 %]\n", - "Levels : 0.000640405 [ 0.03 %]\n", - "Report : 1.964e-06 [ 0.00 %]\n", - "Balance : 8.46e-07 [ 0.00 %]\n", - "Adjust : 1.37678 [ 54.54 %]\n", - "Total : 2.52447 [100.00 %]\n", + "Drift : 0.000668146 [ 0.06 %]\n", + "Velocity : 0.00274306 [ 0.24 %]\n", + "Force : 0.395528 [ 34.28 %]\n", + "Coefs : 0.153822 [ 13.33 %]\n", + "Output : 0.00779989 [ 0.68 %]\n", + "Levels : 0.000295716 [ 0.03 %]\n", + "Report : 1.346e-06 [ 0.00 %]\n", + "Balance : 5.66e-07 [ 0.00 %]\n", + "Adjust : 0.592426 [ 51.35 %]\n", + "Total : 1.15367 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", + "--- Coef/DT = 5.0%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 1.1665e-02 sec\n", - "--- Collate = 1.6757e-04 sec\n", + "--- Update = 8.7146e-03 sec\n", + "--- Collate = 7.5397e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.397822e-02 > 2.000000e-03 [42029]\n", + "--- Min DT=3.882387e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.398586e-02 > 2.000000e-03 [42031]\n", "----------------------------------------------------------------------\n", - " Component | high: 42029/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 42031/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.274] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00179344 [ 0.06 %]\n", - "Velocity : 0.00701268 [ 0.25 %]\n", - "Force : 0.8558 [ 30.62 %]\n", - "Coefs : 0.458612 [ 16.41 %]\n", - "Output : 0.0204396 [ 0.73 %]\n", - "Levels : 0.000651817 [ 0.02 %]\n", - "Report : 1.381e-06 [ 0.00 %]\n", - "Balance : 1.015e-06 [ 0.00 %]\n", - "Adjust : 1.45007 [ 51.88 %]\n", - "Total : 2.79528 [100.00 %]\n", + "Drift : 0.000751668 [ 0.06 %]\n", + "Velocity : 0.00303097 [ 0.26 %]\n", + "Force : 0.397309 [ 33.71 %]\n", + "Coefs : 0.155484 [ 13.19 %]\n", + "Output : 0.00870327 [ 0.74 %]\n", + "Levels : 0.000368844 [ 0.03 %]\n", + "Report : 1.23e-06 [ 0.00 %]\n", + "Balance : 6.01e-07 [ 0.00 %]\n", + "Adjust : 0.612525 [ 51.97 %]\n", + "Total : 1.17862 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.3%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 2.9324e-02 sec\n", - "--- Collate = 1.0539e-04 sec\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.3150e-03 sec\n", + "--- Collate = 8.4465e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.689197e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.398262e-02 > 2.000000e-03 [42015]\n", + "--- Max DT=2.398624e-02 > 2.000000e-03 [42013]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 42015/60000\n", + " Component | high: 42013/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.276] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.001458 [ 0.06 %]\n", - "Velocity : 0.00985403 [ 0.38 %]\n", - "Force : 0.721553 [ 27.65 %]\n", - "Coefs : 0.394917 [ 15.13 %]\n", - "Output : 0.0210046 [ 0.80 %]\n", - "Levels : 0.000858136 [ 0.03 %]\n", - "Report : 1.529e-06 [ 0.00 %]\n", - "Balance : 9.49e-07 [ 0.00 %]\n", - "Adjust : 1.45904 [ 55.91 %]\n", - "Total : 2.6095 [100.00 %]\n", + "Drift : 0.000670524 [ 0.06 %]\n", + "Velocity : 0.00271316 [ 0.24 %]\n", + "Force : 0.394978 [ 34.46 %]\n", + "Coefs : 0.153328 [ 13.38 %]\n", + "Output : 0.00811981 [ 0.71 %]\n", + "Levels : 0.000349369 [ 0.03 %]\n", + "Report : 1.307e-06 [ 0.00 %]\n", + "Balance : 6.05e-07 [ 0.00 %]\n", + "Adjust : 0.585576 [ 51.09 %]\n", + "Total : 1.14614 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.6%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 2.1994e-02 sec\n", - "--- Collate = 9.2240e-05 sec\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.2582e-03 sec\n", + "--- Collate = 7.8339e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.398546e-02 > 2.000000e-03 [42013]\n", + "--- Max DT=2.398762e-02 > 2.000000e-03 [42018]\n", "----------------------------------------------------------------------\n", - " Component | high: 42013/60000\n", + " Component | high: 42018/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.278] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0020628 [ 0.07 %]\n", - "Velocity : 0.0147086 [ 0.50 %]\n", - "Force : 0.779442 [ 26.46 %]\n", - "Coefs : 0.667209 [ 22.65 %]\n", - "Output : 0.0285098 [ 0.97 %]\n", - "Levels : 0.000690956 [ 0.02 %]\n", - "Report : 1.176e-06 [ 0.00 %]\n", - "Balance : 8.4e-07 [ 0.00 %]\n", - "Adjust : 1.45229 [ 49.30 %]\n", - "Total : 2.9457 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000731501 [ 0.06 %]\n", + "Velocity : 0.00313816 [ 0.26 %]\n", + "Force : 0.401183 [ 33.64 %]\n", + "Coefs : 0.1576 [ 13.21 %]\n", + "Output : 0.00844961 [ 0.71 %]\n", + "Levels : 0.000309344 [ 0.03 %]\n", + "Report : 1.266e-06 [ 0.00 %]\n", + "Balance : 9.02e-07 [ 0.00 %]\n", + "Adjust : 0.620779 [ 52.05 %]\n", + "Total : 1.19264 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.4%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.8436e-02 sec\n", - "--- Collate = 1.0292e-04 sec\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.3771e-03 sec\n", + "--- Collate = 6.9026e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.398931e-02 > 2.000000e-03 [42002]\n", + "--- Min DT=2.534455e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.398684e-02 > 2.000000e-03 [42002]\n", "----------------------------------------------------------------------\n", - " Component | high: 42001/60000\n", - " Component | high: 1/20000\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 42002/60000\n", + " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.28] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00205375 [ 0.07 %]\n", - "Velocity : 0.0078347 [ 0.25 %]\n", - "Force : 0.815059 [ 26.51 %]\n", - "Coefs : 0.490317 [ 15.95 %]\n", - "Output : 0.191669 [ 6.23 %]\n", - "Levels : 0.000699537 [ 0.02 %]\n", - "Report : 1.797e-06 [ 0.00 %]\n", - "Balance : 8.43e-07 [ 0.00 %]\n", - "Adjust : 1.56648 [ 50.94 %]\n", - "Total : 3.07496 [100.00 %]\n", + "Drift : 0.000772586 [ 0.06 %]\n", + "Velocity : 0.00315983 [ 0.24 %]\n", + "Force : 0.406926 [ 31.23 %]\n", + "Coefs : 0.160318 [ 12.30 %]\n", + "Output : 0.0895978 [ 6.88 %]\n", + "Levels : 0.000360395 [ 0.03 %]\n", + "Report : 1.291e-06 [ 0.00 %]\n", + "Balance : 6.81e-07 [ 0.00 %]\n", + "Adjust : 0.641609 [ 49.23 %]\n", + "Total : 1.30318 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", + "--- Coef/DT = 4.8%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 1.2318e-02 sec\n", - "--- Collate = 1.1499e-04 sec\n", + "--- Update = 8.8474e-03 sec\n", + "--- Collate = 6.8583e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.399259e-02 > 2.000000e-03 [41992]\n", + "--- Max DT=2.398763e-02 > 2.000000e-03 [41992]\n", "----------------------------------------------------------------------\n", " Component | high: 41992/60000\n", " Component | high: 0/20000\n", @@ -4943,132 +4762,126 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.282] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0016877 [ 0.05 %]\n", - "Velocity : 0.00780775 [ 0.24 %]\n", - "Force : 0.867888 [ 26.86 %]\n", - "Coefs : 0.60437 [ 18.70 %]\n", - "Output : 0.019273 [ 0.60 %]\n", - "Levels : 0.000683802 [ 0.02 %]\n", - "Report : 1.532e-06 [ 0.00 %]\n", - "Balance : 9.23e-07 [ 0.00 %]\n", - "Adjust : 1.72861 [ 53.50 %]\n", - "Total : 3.23119 [100.00 %]\n", + "Drift : 0.000795039 [ 0.06 %]\n", + "Velocity : 0.00333547 [ 0.27 %]\n", + "Force : 0.423714 [ 34.43 %]\n", + "Coefs : 0.163721 [ 13.30 %]\n", + "Output : 0.00902589 [ 0.73 %]\n", + "Levels : 0.000357705 [ 0.03 %]\n", + "Report : 1.48e-06 [ 0.00 %]\n", + "Balance : 5.73e-07 [ 0.00 %]\n", + "Adjust : 0.629215 [ 51.13 %]\n", + "Total : 1.23063 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 23.1%\n", + "--- Coef/DT = 5.3%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.1452e-02 sec\n", - "--- Collate = 1.4771e-04 sec\n", + "--- Update = 8.2366e-03 sec\n", + "--- Collate = 7.0686e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.286663e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.399344e-02 > 2.000000e-03 [42013]\n", + "--- Min DT=3.816226e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.399009e-02 > 2.000000e-03 [42012]\n", "----------------------------------------------------------------------\n", - " Component | low: 1/60000\n", + " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 42013/60000\n", + " Component | high: 42012/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.284] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00164049 [ 0.05 %]\n", - "Velocity : 0.00792663 [ 0.23 %]\n", - "Force : 0.867639 [ 24.75 %]\n", - "Coefs : 0.629269 [ 17.95 %]\n", - "Output : 0.0170304 [ 0.49 %]\n", - "Levels : 0.000642944 [ 0.02 %]\n", - "Report : 1.542e-06 [ 0.00 %]\n", - "Balance : 7.81e-07 [ 0.00 %]\n", - "Adjust : 1.98115 [ 56.51 %]\n", - "Total : 3.5061 [100.00 %]\n", + "Drift : 0.000894953 [ 0.07 %]\n", + "Velocity : 0.00401277 [ 0.31 %]\n", + "Force : 0.446614 [ 34.21 %]\n", + "Coefs : 0.171219 [ 13.12 %]\n", + "Output : 0.0110374 [ 0.85 %]\n", + "Levels : 0.000395793 [ 0.03 %]\n", + "Report : 1.188e-06 [ 0.00 %]\n", + "Balance : 5.95e-07 [ 0.00 %]\n", + "Adjust : 0.670756 [ 51.38 %]\n", + "Total : 1.30544 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 31.1%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 2.6556e-02 sec\n", - "--- Collate = 8.7895e-05 sec\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 9.1251e-03 sec\n", + "--- Collate = 8.8328e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.276778e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.399483e-02 > 2.000000e-03 [42029]\n", + "--- Max DT=2.399486e-02 > 2.000000e-03 [42027]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 42029/60000\n", + " Component | high: 42027/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.286] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00226282 [ 0.09 %]\n", - "Velocity : 0.00707154 [ 0.28 %]\n", - "Force : 0.680337 [ 26.77 %]\n", - "Coefs : 0.452842 [ 17.82 %]\n", - "Output : 0.0210115 [ 0.83 %]\n", - "Levels : 0.000696698 [ 0.03 %]\n", - "Report : 1.523e-06 [ 0.00 %]\n", - "Balance : 7.73e-07 [ 0.00 %]\n", - "Adjust : 1.37612 [ 54.15 %]\n", - "Total : 2.54112 [100.00 %]\n", + "Drift : 0.000850828 [ 0.07 %]\n", + "Velocity : 0.00330978 [ 0.27 %]\n", + "Force : 0.417885 [ 34.19 %]\n", + "Coefs : 0.160381 [ 13.12 %]\n", + "Output : 0.0103199 [ 0.84 %]\n", + "Levels : 0.000487329 [ 0.04 %]\n", + "Report : 1.119e-06 [ 0.00 %]\n", + "Balance : 6.55e-07 [ 0.00 %]\n", + "Adjust : 0.628671 [ 51.43 %]\n", + "Total : 1.22238 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.4%\n", + "--- Coef/DT = 6.0%\n", "--- Adj/Tot = 1.0%\n", - "--- Update = 2.0445e-02 sec\n", - "--- Collate = 9.0652e-05 sec\n", + "--- Update = 8.6333e-03 sec\n", + "--- Collate = 7.3146e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.399919e-02 > 2.000000e-03 [42032]\n", + "--- Max DT=2.400206e-02 > 2.000000e-03 [42031]\n", "----------------------------------------------------------------------\n", - " Component | high: 42032/60000\n", + " Component | high: 42031/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.288] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00168802 [ 0.05 %]\n", - "Velocity : 0.0088334 [ 0.26 %]\n", - "Force : 0.955838 [ 28.51 %]\n", - "Coefs : 0.57006 [ 17.00 %]\n", - "Output : 0.0247735 [ 0.74 %]\n", - "Levels : 0.000662094 [ 0.02 %]\n", - "Report : 1.866e-06 [ 0.00 %]\n", - "Balance : 1.364e-06 [ 0.00 %]\n", - "Adjust : 1.79035 [ 53.39 %]\n", - "Total : 3.35308 [100.00 %]\n", + "Drift : 0.00098543 [ 0.08 %]\n", + "Velocity : 0.00384488 [ 0.31 %]\n", + "Force : 0.433425 [ 34.49 %]\n", + "Coefs : 0.165011 [ 13.13 %]\n", + "Output : 0.00978533 [ 0.78 %]\n", + "Levels : 0.000404225 [ 0.03 %]\n", + "Report : 1.307e-06 [ 0.00 %]\n", + "Balance : 7.07e-07 [ 0.00 %]\n", + "Adjust : 0.64276 [ 51.15 %]\n", + "Total : 1.2567 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.6%\n", + "--- Coef/DT = 5.3%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 1.7787e-02 sec\n", - "--- Collate = 9.1565e-05 sec\n", + "--- Update = 7.8587e-03 sec\n", + "--- Collate = 6.9612e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.216923e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.400190e-02 > 2.000000e-03 [42039]\n", + "--- Max DT=2.400183e-02 > 2.000000e-03 [42039]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", " Component | high: 42039/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -5076,128 +4889,134 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.29] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00134353 [ 0.07 %]\n", - "Velocity : 0.00604912 [ 0.32 %]\n", - "Force : 0.598718 [ 31.53 %]\n", - "Coefs : 0.301391 [ 15.87 %]\n", - "Output : 0.018516 [ 0.98 %]\n", - "Levels : 0.000658201 [ 0.03 %]\n", - "Report : 1.633e-06 [ 0.00 %]\n", - "Balance : 8.89e-07 [ 0.00 %]\n", - "Adjust : 0.971064 [ 51.15 %]\n", - "Total : 1.89863 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000707655 [ 0.06 %]\n", + "Velocity : 0.00311976 [ 0.27 %]\n", + "Force : 0.392545 [ 34.20 %]\n", + "Coefs : 0.1517 [ 13.22 %]\n", + "Output : 0.00816338 [ 0.71 %]\n", + "Levels : 0.000361848 [ 0.03 %]\n", + "Report : 1.34e-06 [ 0.00 %]\n", + "Balance : 6.29e-07 [ 0.00 %]\n", + "Adjust : 0.590629 [ 51.46 %]\n", + "Total : 1.14765 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.0%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.4886e-02 sec\n", - "--- Collate = 9.6155e-05 sec\n", + "--- Coef/DT = 6.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.2856e-03 sec\n", + "--- Collate = 1.0104e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.401500e-02 > 2.000000e-03 [42022]\n", + "--- Min DT=1.928732e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.401174e-02 > 2.000000e-03 [42025]\n", "----------------------------------------------------------------------\n", - " Component | high: 42022/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 42025/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.292] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00146738 [ 0.06 %]\n", - "Velocity : 0.00677382 [ 0.26 %]\n", - "Force : 0.675798 [ 25.97 %]\n", - "Coefs : 0.413274 [ 15.88 %]\n", - "Output : 0.023946 [ 0.92 %]\n", - "Levels : 0.000643106 [ 0.02 %]\n", - "Report : 1.399e-06 [ 0.00 %]\n", - "Balance : 9.28e-07 [ 0.00 %]\n", - "Adjust : 1.47948 [ 56.85 %]\n", - "Total : 2.60224 [100.00 %]\n", + "Drift : 0.000684329 [ 0.06 %]\n", + "Velocity : 0.00301335 [ 0.26 %]\n", + "Force : 0.395986 [ 33.81 %]\n", + "Coefs : 0.15578 [ 13.30 %]\n", + "Output : 0.00884123 [ 0.75 %]\n", + "Levels : 0.000360597 [ 0.03 %]\n", + "Report : 1.026e-06 [ 0.00 %]\n", + "Balance : 5.55e-07 [ 0.00 %]\n", + "Adjust : 0.606295 [ 51.76 %]\n", + "Total : 1.17137 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", + "--- Coef/DT = 5.7%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.6323e-02 sec\n", - "--- Collate = 8.2059e-05 sec\n", + "--- Update = 8.3702e-03 sec\n", + "--- Collate = 6.8953e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.599126e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.401653e-02 > 2.000000e-03 [42027]\n", + "--- Min DT=2.929926e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.401646e-02 > 2.000000e-03 [42025]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 42027/60000\n", + " Component | high: 42025/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.294] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.001841 [ 0.08 %]\n", - "Velocity : 0.00743962 [ 0.32 %]\n", - "Force : 0.697644 [ 30.10 %]\n", - "Coefs : 0.368472 [ 15.90 %]\n", - "Output : 0.0230728 [ 1.00 %]\n", - "Levels : 0.000624308 [ 0.03 %]\n", - "Report : 1.389e-06 [ 0.00 %]\n", - "Balance : 7.1e-07 [ 0.00 %]\n", - "Adjust : 1.21809 [ 52.55 %]\n", - "Total : 2.31803 [100.00 %]\n", + "Drift : 0.000726022 [ 0.06 %]\n", + "Velocity : 0.00315039 [ 0.27 %]\n", + "Force : 0.405833 [ 34.35 %]\n", + "Coefs : 0.155049 [ 13.12 %]\n", + "Output : 0.00861902 [ 0.73 %]\n", + "Levels : 0.000371985 [ 0.03 %]\n", + "Report : 1.256e-06 [ 0.00 %]\n", + "Balance : 5.47e-07 [ 0.00 %]\n", + "Adjust : 0.607195 [ 51.40 %]\n", + "Total : 1.18137 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.3826e-02 sec\n", - "--- Collate = 1.2289e-04 sec\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.9260e-03 sec\n", + "--- Collate = 6.9902e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.005174e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.401488e-02 > 2.000000e-03 [42017]\n", + "--- Max DT=2.401817e-02 > 2.000000e-03 [42018]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 42016/60000\n", - " Component | high: 1/20000\n", + " Component | high: 42018/60000\n", + " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.296] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00206776 [ 0.07 %]\n", - "Velocity : 0.00847132 [ 0.28 %]\n", - "Force : 0.855254 [ 28.37 %]\n", - "Coefs : 0.547275 [ 18.15 %]\n", - "Output : 0.0240985 [ 0.80 %]\n", - "Levels : 0.000695057 [ 0.02 %]\n", - "Report : 1.438e-06 [ 0.00 %]\n", - "Balance : 6.88e-07 [ 0.00 %]\n", - "Adjust : 1.57629 [ 52.28 %]\n", - "Total : 3.01497 [100.00 %]\n", + "Drift : 0.000737981 [ 0.06 %]\n", + "Velocity : 0.00312092 [ 0.25 %]\n", + "Force : 0.423894 [ 34.42 %]\n", + "Coefs : 0.159391 [ 12.94 %]\n", + "Output : 0.0089646 [ 0.73 %]\n", + "Levels : 0.000397367 [ 0.03 %]\n", + "Report : 1.429e-06 [ 0.00 %]\n", + "Balance : 4.58e-07 [ 0.00 %]\n", + "Adjust : 0.634645 [ 51.53 %]\n", + "Total : 1.2316 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 40.7%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.6461e-02 sec\n", - "--- Collate = 1.0730e-04 sec\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.0%\n", + "--- Update = 8.2033e-03 sec\n", + "--- Collate = 9.7378e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.402139e-02 > 2.000000e-03 [42022]\n", + "--- Max DT=2.402323e-02 > 2.000000e-03 [42022]\n", "----------------------------------------------------------------------\n", " Component | high: 42022/60000\n", " Component | high: 0/20000\n", @@ -5206,33 +5025,30 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.298] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00232502 [ 0.08 %]\n", - "Velocity : 0.0102557 [ 0.37 %]\n", - "Force : 0.7718 [ 28.10 %]\n", - "Coefs : 0.489746 [ 17.83 %]\n", - "Output : 0.0240079 [ 0.87 %]\n", - "Levels : 0.00216304 [ 0.08 %]\n", - "Report : 1.933e-06 [ 0.00 %]\n", - "Balance : 9.58e-07 [ 0.00 %]\n", - "Adjust : 1.44549 [ 52.63 %]\n", - "Total : 2.7466 [100.00 %]\n", + "Drift : 0.000791258 [ 0.06 %]\n", + "Velocity : 0.00328028 [ 0.26 %]\n", + "Force : 0.432225 [ 34.48 %]\n", + "Coefs : 0.165891 [ 13.24 %]\n", + "Output : 0.00935213 [ 0.75 %]\n", + "Levels : 0.000358192 [ 0.03 %]\n", + "Report : 1.216e-06 [ 0.00 %]\n", + "Balance : 5.51e-07 [ 0.00 %]\n", + "Adjust : 0.641053 [ 51.14 %]\n", + "Total : 1.25342 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.1298e-02 sec\n", - "--- Collate = 2.5195e-04 sec\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.1849e-03 sec\n", + "--- Collate = 7.3086e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.888269e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.402526e-02 > 2.000000e-03 [42036]\n", + "--- Max DT=2.402833e-02 > 2.000000e-03 [42036]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", " Component | high: 42036/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -5240,60 +5056,66 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.3] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00190561 [ 0.06 %]\n", - "Velocity : 0.0095802 [ 0.30 %]\n", - "Force : 0.849127 [ 26.47 %]\n", - "Coefs : 0.541853 [ 16.89 %]\n", - "Output : 0.173479 [ 5.41 %]\n", - "Levels : 0.00090666 [ 0.03 %]\n", - "Report : 1.405e-06 [ 0.00 %]\n", - "Balance : 1.035e-06 [ 0.00 %]\n", - "Adjust : 1.63051 [ 50.82 %]\n", - "Total : 3.20818 [100.00 %]\n", + "Drift : 0.000786576 [ 0.06 %]\n", + "Velocity : 0.00319005 [ 0.24 %]\n", + "Force : 0.421768 [ 32.37 %]\n", + "Coefs : 0.161003 [ 12.36 %]\n", + "Output : 0.0905959 [ 6.95 %]\n", + "Levels : 0.000300254 [ 0.02 %]\n", + "Report : 1.094e-06 [ 0.00 %]\n", + "Balance : 4.51e-07 [ 0.00 %]\n", + "Adjust : 0.62471 [ 47.95 %]\n", + "Total : 1.30279 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.6%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.3621e-02 sec\n", - "--- Collate = 9.4154e-05 sec\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.9298e-03 sec\n", + "--- Collate = 7.9336e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.402162e-02 > 2.000000e-03 [42037]\n", + "--- Max DT=2.402259e-02 > 2.000000e-03 [42040]\n", "----------------------------------------------------------------------\n", - " Component | high: 42037/60000\n", + " Component | high: 42040/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.302] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00263521 [ 0.12 %]\n", - "Velocity : 0.0126005 [ 0.56 %]\n", - "Force : 0.66899 [ 29.67 %]\n", - "Coefs : 0.322031 [ 14.28 %]\n", - "Output : 0.029945 [ 1.33 %]\n", - "Levels : 0.000630237 [ 0.03 %]\n", - "Report : 1.414e-06 [ 0.00 %]\n", - "Balance : 9.72e-07 [ 0.00 %]\n", - "Adjust : 1.21693 [ 53.98 %]\n", - "Total : 2.2545 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000896825 [ 0.07 %]\n", + "Velocity : 0.0042151 [ 0.32 %]\n", + "Force : 0.435861 [ 33.60 %]\n", + "Coefs : 0.174573 [ 13.46 %]\n", + "Output : 0.0118964 [ 0.92 %]\n", + "Levels : 0.000505316 [ 0.04 %]\n", + "Report : 1.377e-06 [ 0.00 %]\n", + "Balance : 6.04e-07 [ 0.00 %]\n", + "Adjust : 0.668549 [ 51.55 %]\n", + "Total : 1.29702 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.3%\n", + "--- Coef/DT = 4.9%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0584e-02 sec\n", - "--- Collate = 6.6437e-05 sec\n", + "--- Update = 8.7661e-03 sec\n", + "--- Collate = 7.5538e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.401993e-02 > 2.000000e-03 [42038]\n", + "--- Max DT=2.401627e-02 > 2.000000e-03 [42038]\n", "----------------------------------------------------------------------\n", " Component | high: 42038/60000\n", " Component | high: 0/20000\n", @@ -5302,95 +5124,95 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.304] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00213961 [ 0.10 %]\n", - "Velocity : 0.00924614 [ 0.42 %]\n", - "Force : 0.700284 [ 31.63 %]\n", - "Coefs : 0.315407 [ 14.25 %]\n", - "Output : 0.02843 [ 1.28 %]\n", - "Levels : 0.000783375 [ 0.04 %]\n", - "Report : 1.132e-06 [ 0.00 %]\n", - "Balance : 6.92e-07 [ 0.00 %]\n", - "Adjust : 1.15654 [ 52.24 %]\n", - "Total : 2.21396 [100.00 %]\n", + "Drift : 0.00118228 [ 0.09 %]\n", + "Velocity : 0.00467897 [ 0.37 %]\n", + "Force : 0.430875 [ 34.51 %]\n", + "Coefs : 0.163265 [ 13.08 %]\n", + "Output : 0.0120093 [ 0.96 %]\n", + "Levels : 0.000539516 [ 0.04 %]\n", + "Report : 1.356e-06 [ 0.00 %]\n", + "Balance : 7.18e-07 [ 0.00 %]\n", + "Adjust : 0.635575 [ 50.90 %]\n", + "Total : 1.24864 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 5.8%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.0047e-02 sec\n", - "--- Collate = 7.8527e-05 sec\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.1678e-03 sec\n", + "--- Collate = 7.1766e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.971509e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.400912e-02 > 2.000000e-03 [42049]\n", + "--- Min DT=3.826835e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.400585e-02 > 2.000000e-03 [42050]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 42049/60000\n", + " Component | high: 42050/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.306] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.002174 [ 0.08 %]\n", - "Velocity : 0.00954946 [ 0.37 %]\n", - "Force : 0.807054 [ 31.13 %]\n", - "Coefs : 0.387292 [ 14.94 %]\n", - "Output : 0.0276299 [ 1.07 %]\n", - "Levels : 0.000694256 [ 0.03 %]\n", - "Report : 1.649e-06 [ 0.00 %]\n", - "Balance : 6.84e-07 [ 0.00 %]\n", - "Adjust : 1.35761 [ 52.36 %]\n", - "Total : 2.59288 [100.00 %]\n", + "Drift : 0.00110705 [ 0.09 %]\n", + "Velocity : 0.00446213 [ 0.37 %]\n", + "Force : 0.410485 [ 34.03 %]\n", + "Coefs : 0.159807 [ 13.25 %]\n", + "Output : 0.01172 [ 0.97 %]\n", + "Levels : 0.000368565 [ 0.03 %]\n", + "Report : 1.301e-06 [ 0.00 %]\n", + "Balance : 7.18e-07 [ 0.00 %]\n", + "Adjust : 0.617907 [ 51.22 %]\n", + "Total : 1.20637 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.4168e-02 sec\n", - "--- Collate = 9.1477e-05 sec\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 9.0292e-03 sec\n", + "--- Collate = 7.9044e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.400475e-02 > 2.000000e-03 [42056]\n", + "--- Max DT=2.400493e-02 > 2.000000e-03 [42053]\n", "----------------------------------------------------------------------\n", - " Component | high: 42056/60000\n", + " Component | high: 42053/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.308] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00219592 [ 0.09 %]\n", - "Velocity : 0.0100664 [ 0.42 %]\n", - "Force : 0.702498 [ 29.58 %]\n", - "Coefs : 0.32813 [ 13.82 %]\n", - "Output : 0.0283988 [ 1.20 %]\n", - "Levels : 0.000604289 [ 0.03 %]\n", - "Report : 1.468e-06 [ 0.00 %]\n", - "Balance : 6.84e-07 [ 0.00 %]\n", - "Adjust : 1.30242 [ 54.84 %]\n", - "Total : 2.37504 [100.00 %]\n", + "Drift : 0.000795249 [ 0.06 %]\n", + "Velocity : 0.00382825 [ 0.29 %]\n", + "Force : 0.443475 [ 33.66 %]\n", + "Coefs : 0.180624 [ 13.71 %]\n", + "Output : 0.00976959 [ 0.74 %]\n", + "Levels : 0.000354979 [ 0.03 %]\n", + "Report : 1.565e-06 [ 0.00 %]\n", + "Balance : 5.67e-07 [ 0.00 %]\n", + "Adjust : 0.678087 [ 51.47 %]\n", + "Total : 1.31744 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.1%\n", + "--- Coef/DT = 4.2%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.1059e-02 sec\n", - "--- Collate = 9.4178e-05 sec\n", + "--- Update = 1.0318e-02 sec\n", + "--- Collate = 8.6358e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.723884e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.401058e-02 > 2.000000e-03 [42058]\n", + "--- Min DT=2.506432e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.400692e-02 > 2.000000e-03 [42058]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", @@ -5401,481 +5223,505 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.31] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00204843 [ 0.08 %]\n", - "Velocity : 0.00854076 [ 0.34 %]\n", - "Force : 0.704749 [ 28.39 %]\n", - "Coefs : 0.520934 [ 20.99 %]\n", - "Output : 0.0240891 [ 0.97 %]\n", - "Levels : 0.000696986 [ 0.03 %]\n", - "Report : 1.358e-06 [ 0.00 %]\n", - "Balance : 1.6832e-05 [ 0.00 %]\n", - "Adjust : 1.22039 [ 49.16 %]\n", - "Total : 2.48231 [100.00 %]\n", + "Drift : 0.00102668 [ 0.07 %]\n", + "Velocity : 0.00436645 [ 0.31 %]\n", + "Force : 0.483388 [ 34.65 %]\n", + "Coefs : 0.177781 [ 12.74 %]\n", + "Output : 0.0142985 [ 1.02 %]\n", + "Levels : 0.000782093 [ 0.06 %]\n", + "Report : 1.417e-06 [ 0.00 %]\n", + "Balance : 6.31e-07 [ 0.00 %]\n", + "Adjust : 0.712915 [ 51.10 %]\n", + "Total : 1.39519 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.1%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.3617e-02 sec\n", - "--- Collate = 7.3453e-05 sec\n", + "--- Coef/DT = 6.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.7776e-03 sec\n", + "--- Collate = 8.4086e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.401197e-02 > 2.000000e-03 [42062]\n", + "--- Max DT=2.400673e-02 > 2.000000e-03 [42065]\n", "----------------------------------------------------------------------\n", - " Component | high: 42062/60000\n", + " Component | high: 42065/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.312] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0018186 [ 0.07 %]\n", - "Velocity : 0.00869452 [ 0.34 %]\n", - "Force : 0.717404 [ 27.66 %]\n", - "Coefs : 0.471812 [ 18.19 %]\n", - "Output : 0.0242765 [ 0.94 %]\n", - "Levels : 0.00070933 [ 0.03 %]\n", - "Report : 1.503e-06 [ 0.00 %]\n", - "Balance : 8.57e-07 [ 0.00 %]\n", - "Adjust : 1.36841 [ 52.75 %]\n", - "Total : 2.59407 [100.00 %]\n", + "Drift : 0.000983981 [ 0.08 %]\n", + "Velocity : 0.00408484 [ 0.31 %]\n", + "Force : 0.464463 [ 35.43 %]\n", + "Coefs : 0.173068 [ 13.20 %]\n", + "Output : 0.0113553 [ 0.87 %]\n", + "Levels : 0.000426482 [ 0.03 %]\n", + "Report : 1.437e-06 [ 0.00 %]\n", + "Balance : 5.87e-07 [ 0.00 %]\n", + "Adjust : 0.656134 [ 50.05 %]\n", + "Total : 1.31103 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.5%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 2.5160e-02 sec\n", - "--- Collate = 8.8923e-05 sec\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.7553e-03 sec\n", + "--- Collate = 7.8663e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.544487e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.401329e-02 > 2.000000e-03 [42073]\n", + "--- Max DT=2.400630e-02 > 2.000000e-03 [42075]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 42073/60000\n", + " Component | high: 42075/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.314] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00201685 [ 0.06 %]\n", - "Velocity : 0.00867348 [ 0.25 %]\n", - "Force : 0.836905 [ 23.83 %]\n", - "Coefs : 0.916802 [ 26.10 %]\n", - "Output : 0.0237622 [ 0.68 %]\n", - "Levels : 0.000737246 [ 0.02 %]\n", - "Report : 1.297e-06 [ 0.00 %]\n", - "Balance : 8.28e-07 [ 0.00 %]\n", - "Adjust : 1.72259 [ 49.05 %]\n", - "Total : 3.51226 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00105014 [ 0.08 %]\n", + "Velocity : 0.00424087 [ 0.31 %]\n", + "Force : 0.484637 [ 35.69 %]\n", + "Coefs : 0.173762 [ 12.80 %]\n", + "Output : 0.0115866 [ 0.85 %]\n", + "Levels : 0.000507515 [ 0.04 %]\n", + "Report : 1.272e-06 [ 0.00 %]\n", + "Balance : 5.97e-07 [ 0.00 %]\n", + "Adjust : 0.681593 [ 50.19 %]\n", + "Total : 1.35793 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.4%\n", + "--- Coef/DT = 5.8%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 1.1200e-02 sec\n", - "--- Collate = 8.5614e-05 sec\n", + "--- Update = 8.7946e-03 sec\n", + "--- Collate = 7.0120e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.401416e-02 > 2.000000e-03 [42066]\n", + "--- Max DT=2.400969e-02 > 2.000000e-03 [42068]\n", "----------------------------------------------------------------------\n", - " Component | high: 42066/60000\n", + " Component | high: 42068/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.316] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00155996 [ 0.06 %]\n", - "Velocity : 0.00690545 [ 0.26 %]\n", - "Force : 0.747966 [ 27.83 %]\n", - "Coefs : 0.564759 [ 21.01 %]\n", - "Output : 0.020952 [ 0.78 %]\n", - "Levels : 0.000677957 [ 0.03 %]\n", - "Report : 1.337e-06 [ 0.00 %]\n", - "Balance : 7.98e-07 [ 0.00 %]\n", - "Adjust : 1.3442 [ 50.01 %]\n", - "Total : 2.68792 [100.00 %]\n", + "Drift : 0.000907558 [ 0.07 %]\n", + "Velocity : 0.00362608 [ 0.27 %]\n", + "Force : 0.4772 [ 35.64 %]\n", + "Coefs : 0.176461 [ 13.18 %]\n", + "Output : 0.0103162 [ 0.77 %]\n", + "Levels : 0.000353168 [ 0.03 %]\n", + "Report : 1.182e-06 [ 0.00 %]\n", + "Balance : 5.37e-07 [ 0.00 %]\n", + "Adjust : 0.669557 [ 50.01 %]\n", + "Total : 1.33893 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.4%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.7067e-02 sec\n", - "--- Collate = 1.1224e-04 sec\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 9.0340e-03 sec\n", + "--- Collate = 9.6287e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.702204e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.400819e-02 > 2.000000e-03 [42057]\n", + "--- Min DT=3.854445e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.401273e-02 > 2.000000e-03 [42061]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 42057/60000\n", + " Component | low: 1/20000\n", + " Component | high: 42061/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.318] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00154313 [ 0.06 %]\n", - "Velocity : 0.0111225 [ 0.45 %]\n", - "Force : 0.753233 [ 30.53 %]\n", - "Coefs : 0.33748 [ 13.68 %]\n", - "Output : 0.0218929 [ 0.89 %]\n", - "Levels : 0.000616626 [ 0.02 %]\n", - "Report : 1.216e-06 [ 0.00 %]\n", - "Balance : 7.87e-07 [ 0.00 %]\n", - "Adjust : 1.34028 [ 54.33 %]\n", - "Total : 2.46707 [100.00 %]\n", + "Drift : 0.000958765 [ 0.07 %]\n", + "Velocity : 0.00411196 [ 0.31 %]\n", + "Force : 0.466877 [ 34.86 %]\n", + "Coefs : 0.175475 [ 13.10 %]\n", + "Output : 0.0140647 [ 1.05 %]\n", + "Levels : 0.000516907 [ 0.04 %]\n", + "Report : 1.181e-06 [ 0.00 %]\n", + "Balance : 4.71e-07 [ 0.00 %]\n", + "Adjust : 0.676693 [ 50.53 %]\n", + "Total : 1.33923 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.6%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.1386e-02 sec\n", - "--- Collate = 9.3272e-05 sec\n", + "--- Coef/DT = 4.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 9.5502e-03 sec\n", + "--- Collate = 9.7241e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.117720e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.399546e-02 > 2.000000e-03 [42067]\n", + "--- Min DT=2.558707e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.400635e-02 > 2.000000e-03 [42070]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 42067/60000\n", + " Component | low: 1/20000\n", + " Component | high: 42070/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.32] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00136138 [ 0.06 %]\n", - "Velocity : 0.00536091 [ 0.23 %]\n", - "Force : 0.689695 [ 29.01 %]\n", - "Coefs : 0.342044 [ 14.39 %]\n", - "Output : 0.178966 [ 7.53 %]\n", - "Levels : 0.000722677 [ 0.03 %]\n", - "Report : 1.596e-06 [ 0.00 %]\n", - "Balance : 7.03e-07 [ 0.00 %]\n", - "Adjust : 1.15822 [ 48.72 %]\n", - "Total : 2.37722 [100.00 %]\n", + "Drift : 0.00116302 [ 0.08 %]\n", + "Velocity : 0.00460704 [ 0.31 %]\n", + "Force : 0.480495 [ 32.05 %]\n", + "Coefs : 0.181611 [ 12.11 %]\n", + "Output : 0.133304 [ 8.89 %]\n", + "Levels : 0.000535861 [ 0.04 %]\n", + "Report : 1.447e-06 [ 0.00 %]\n", + "Balance : 7.2e-07 [ 0.00 %]\n", + "Adjust : 0.696857 [ 46.48 %]\n", + "Total : 1.49922 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.4%\n", + "--- Coef/DT = 19.0%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0562e-02 sec\n", - "--- Collate = 8.5975e-05 sec\n", + "--- Update = 1.1068e-02 sec\n", + "--- Collate = 7.6349e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.895796e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.398927e-02 > 2.000000e-03 [42048]\n", + "--- Max DT=2.399898e-02 > 2.000000e-03 [42052]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 42048/60000\n", + " Component | high: 42052/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.322] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00167872 [ 0.07 %]\n", - "Velocity : 0.00814865 [ 0.35 %]\n", - "Force : 0.675612 [ 29.12 %]\n", - "Coefs : 0.350432 [ 15.11 %]\n", - "Output : 0.0258598 [ 1.11 %]\n", - "Levels : 0.000673698 [ 0.03 %]\n", - "Report : 1.235e-06 [ 0.00 %]\n", - "Balance : 9.72e-07 [ 0.00 %]\n", - "Adjust : 1.25663 [ 54.17 %]\n", - "Total : 2.31992 [100.00 %]\n", + "Drift : 0.00111508 [ 0.08 %]\n", + "Velocity : 0.00477032 [ 0.33 %]\n", + "Force : 0.493306 [ 34.24 %]\n", + "Coefs : 0.182429 [ 12.66 %]\n", + "Output : 0.0158874 [ 1.10 %]\n", + "Levels : 0.000378567 [ 0.03 %]\n", + "Report : 1.305e-06 [ 0.00 %]\n", + "Balance : 5.32e-07 [ 0.00 %]\n", + "Adjust : 0.742085 [ 51.51 %]\n", + "Total : 1.44059 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.4%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.6777e-02 sec\n", - "--- Collate = 1.1133e-04 sec\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.9877e-03 sec\n", + "--- Collate = 6.8003e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.399150e-02 > 2.000000e-03 [42064]\n", + "--- Max DT=2.399998e-02 > 2.000000e-03 [42068]\n", "----------------------------------------------------------------------\n", - " Component | high: 42064/60000\n", + " Component | high: 42068/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.324] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00199671 [ 0.09 %]\n", - "Velocity : 0.00840392 [ 0.39 %]\n", - "Force : 0.677796 [ 31.39 %]\n", - "Coefs : 0.32921 [ 15.24 %]\n", - "Output : 0.0247437 [ 1.15 %]\n", - "Levels : 0.000576747 [ 0.03 %]\n", - "Report : 1.287e-06 [ 0.00 %]\n", - "Balance : 7.87e-07 [ 0.00 %]\n", - "Adjust : 1.116 [ 51.68 %]\n", - "Total : 2.15954 [100.00 %]\n", + "Drift : 0.000964282 [ 0.06 %]\n", + "Velocity : 0.00374949 [ 0.25 %]\n", + "Force : 0.508941 [ 33.56 %]\n", + "Coefs : 0.221012 [ 14.58 %]\n", + "Output : 0.0130035 [ 0.86 %]\n", + "Levels : 0.000301407 [ 0.02 %]\n", + "Report : 1.161e-06 [ 0.00 %]\n", + "Balance : 5.46e-07 [ 0.00 %]\n", + "Adjust : 0.767832 [ 50.64 %]\n", + "Total : 1.51637 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.7%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0993e-02 sec\n", - "--- Collate = 7.6724e-05 sec\n", + "--- Coef/DT = 4.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6067e-03 sec\n", + "--- Collate = 6.8756e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.399797e-02 > 2.000000e-03 [42057]\n", + "--- Min DT=2.896974e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.400178e-02 > 2.000000e-03 [42059]\n", "----------------------------------------------------------------------\n", - " Component | high: 42057/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 42059/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.326] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0020875 [ 0.06 %]\n", - "Velocity : 0.00875891 [ 0.26 %]\n", - "Force : 0.809138 [ 23.74 %]\n", - "Coefs : 0.631016 [ 18.52 %]\n", - "Output : 0.0241427 [ 0.71 %]\n", - "Levels : 0.000693145 [ 0.02 %]\n", - "Report : 1.375e-06 [ 0.00 %]\n", - "Balance : 8.8e-07 [ 0.00 %]\n", - "Adjust : 1.93129 [ 56.67 %]\n", - "Total : 3.40797 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000817261 [ 0.07 %]\n", + "Velocity : 0.00355286 [ 0.31 %]\n", + "Force : 0.391668 [ 34.41 %]\n", + "Coefs : 0.149626 [ 13.15 %]\n", + "Output : 0.00967862 [ 0.85 %]\n", + "Levels : 0.000424462 [ 0.04 %]\n", + "Report : 1.073e-06 [ 0.00 %]\n", + "Balance : 5.62e-07 [ 0.00 %]\n", + "Adjust : 0.582028 [ 51.13 %]\n", + "Total : 1.13823 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.7%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0068e-02 sec\n", - "--- Collate = 8.5579e-05 sec\n", + "--- Coef/DT = 6.2%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.7504e-03 sec\n", + "--- Collate = 6.6045e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.400309e-02 > 2.000000e-03 [42040]\n", + "--- Min DT=3.421146e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.400392e-02 > 2.000000e-03 [42041]\n", "----------------------------------------------------------------------\n", - " Component | high: 42040/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 42041/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.328] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0019024 [ 0.10 %]\n", - "Velocity : 0.00791167 [ 0.41 %]\n", - "Force : 0.635409 [ 33.18 %]\n", - "Coefs : 0.285793 [ 14.93 %]\n", - "Output : 0.0235942 [ 1.23 %]\n", - "Levels : 0.000599385 [ 0.03 %]\n", - "Report : 1.568e-06 [ 0.00 %]\n", - "Balance : 7.33e-07 [ 0.00 %]\n", - "Adjust : 0.958816 [ 50.07 %]\n", - "Total : 1.91482 [100.00 %]\n", + "Drift : 0.000880808 [ 0.07 %]\n", + "Velocity : 0.00338183 [ 0.26 %]\n", + "Force : 0.427732 [ 32.41 %]\n", + "Coefs : 0.181915 [ 13.79 %]\n", + "Output : 0.0110212 [ 0.84 %]\n", + "Levels : 0.000370159 [ 0.03 %]\n", + "Report : 1.406e-06 [ 0.00 %]\n", + "Balance : 6.77e-07 [ 0.00 %]\n", + "Adjust : 0.693748 [ 52.57 %]\n", + "Total : 1.31957 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.0%\n", + "--- Coef/DT = 4.4%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 1.0691e-02 sec\n", - "--- Collate = 1.0328e-04 sec\n", + "--- Update = 7.8781e-03 sec\n", + "--- Collate = 8.7966e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.578182e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.400391e-02 > 2.000000e-03 [42036]\n", + "--- Min DT=2.844729e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.400570e-02 > 2.000000e-03 [42035]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 42036/60000\n", + " Component | high: 42035/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.33] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00202704 [ 0.10 %]\n", - "Velocity : 0.00895392 [ 0.42 %]\n", - "Force : 0.653245 [ 30.80 %]\n", - "Coefs : 0.325891 [ 15.37 %]\n", - "Output : 0.0238462 [ 1.12 %]\n", - "Levels : 0.00059429 [ 0.03 %]\n", - "Report : 1.4e-06 [ 0.00 %]\n", - "Balance : 8.54e-07 [ 0.00 %]\n", - "Adjust : 1.10554 [ 52.13 %]\n", - "Total : 2.12092 [100.00 %]\n", + "Drift : 0.00127728 [ 0.11 %]\n", + "Velocity : 0.00543413 [ 0.48 %]\n", + "Force : 0.384744 [ 34.10 %]\n", + "Coefs : 0.143292 [ 12.70 %]\n", + "Output : 0.0156048 [ 1.38 %]\n", + "Levels : 0.000529499 [ 0.05 %]\n", + "Report : 9.63e-07 [ 0.00 %]\n", + "Balance : 4.95e-07 [ 0.00 %]\n", + "Adjust : 0.576935 [ 51.13 %]\n", + "Total : 1.12833 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.0566e-02 sec\n", - "--- Collate = 2.4277e-04 sec\n", + "--- Coef/DT = 6.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.3636e-03 sec\n", + "--- Collate = 7.0024e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.400478e-02 > 2.000000e-03 [42055]\n", + "--- Min DT=3.211894e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.400536e-02 > 2.000000e-03 [42054]\n", "----------------------------------------------------------------------\n", - " Component | high: 42055/60000\n", + " Component | low: 1/60000\n", + " Component | low: 0/20000\n", + " Component | high: 42054/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.332] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00204405 [ 0.09 %]\n", - "Velocity : 0.00913892 [ 0.40 %]\n", - "Force : 0.681602 [ 29.72 %]\n", - "Coefs : 0.366126 [ 15.96 %]\n", - "Output : 0.023996 [ 1.05 %]\n", - "Levels : 0.000644482 [ 0.03 %]\n", - "Report : 1.439e-06 [ 0.00 %]\n", - "Balance : 5.51e-07 [ 0.00 %]\n", - "Adjust : 1.20912 [ 52.72 %]\n", - "Total : 2.29345 [100.00 %]\n", + "Drift : 0.00159828 [ 0.13 %]\n", + "Velocity : 0.00700999 [ 0.56 %]\n", + "Force : 0.420762 [ 33.33 %]\n", + "Coefs : 0.161323 [ 12.78 %]\n", + "Output : 0.0201268 [ 1.59 %]\n", + "Levels : 0.000556412 [ 0.04 %]\n", + "Report : 1.355e-06 [ 0.00 %]\n", + "Balance : 6.14e-07 [ 0.00 %]\n", + "Adjust : 0.65036 [ 51.52 %]\n", + "Total : 1.26233 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.8%\n", - "--- Adj/Tot = 1.4%\n", - "--- Update = 2.2380e-02 sec\n", - "--- Collate = 2.0222e-04 sec\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.0%\n", + "--- Update = 8.0683e-03 sec\n", + "--- Collate = 8.7566e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.400236e-02 > 2.000000e-03 [42039]\n", + "--- Max DT=2.400924e-02 > 2.000000e-03 [42040]\n", "----------------------------------------------------------------------\n", - " Component | high: 42039/60000\n", + " Component | high: 42040/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.334] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0024248 [ 0.11 %]\n", - "Velocity : 0.00854835 [ 0.39 %]\n", - "Force : 0.687785 [ 31.13 %]\n", - "Coefs : 0.331827 [ 15.02 %]\n", - "Output : 0.0243991 [ 1.10 %]\n", - "Levels : 0.000712115 [ 0.03 %]\n", - "Report : 1.35e-06 [ 0.00 %]\n", - "Balance : 8.72e-07 [ 0.00 %]\n", - "Adjust : 1.15318 [ 52.19 %]\n", - "Total : 2.20972 [100.00 %]\n", + "Drift : 0.00174849 [ 0.13 %]\n", + "Velocity : 0.00804948 [ 0.60 %]\n", + "Force : 0.447938 [ 33.32 %]\n", + "Coefs : 0.171732 [ 12.78 %]\n", + "Output : 0.02072 [ 1.54 %]\n", + "Levels : 0.000463857 [ 0.03 %]\n", + "Report : 9.02e-07 [ 0.00 %]\n", + "Balance : 4e-07 [ 0.00 %]\n", + "Adjust : 0.693024 [ 51.55 %]\n", + "Total : 1.34425 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", + "--- Coef/DT = 5.2%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 5.7197e-02 sec\n", - "--- Collate = 3.3074e-03 sec\n", + "--- Update = 8.0556e-03 sec\n", + "--- Collate = 8.1060e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.401085e-02 > 2.000000e-03 [42055]\n", + "--- Min DT=3.455373e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.401750e-02 > 2.000000e-03 [42052]\n", "----------------------------------------------------------------------\n", - " Component | high: 42055/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 42052/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.336] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00200833 [ 0.10 %]\n", - "Velocity : 0.00904712 [ 0.45 %]\n", - "Force : 0.602728 [ 29.91 %]\n", - "Coefs : 0.290834 [ 14.43 %]\n", - "Output : 0.0240579 [ 1.19 %]\n", - "Levels : 0.000625772 [ 0.03 %]\n", - "Report : 1.46e-06 [ 0.00 %]\n", - "Balance : 1.057e-06 [ 0.00 %]\n", - "Adjust : 1.08503 [ 53.84 %]\n", - "Total : 2.01515 [100.00 %]\n", + "Drift : 0.0014784 [ 0.12 %]\n", + "Velocity : 0.00734302 [ 0.58 %]\n", + "Force : 0.425259 [ 33.55 %]\n", + "Coefs : 0.161112 [ 12.71 %]\n", + "Output : 0.0202201 [ 1.60 %]\n", + "Levels : 0.000535266 [ 0.04 %]\n", + "Report : 1.45e-06 [ 0.00 %]\n", + "Balance : 5.89e-07 [ 0.00 %]\n", + "Adjust : 0.651094 [ 51.36 %]\n", + "Total : 1.26765 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 4.8%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.1264e-02 sec\n", - "--- Collate = 1.8322e-04 sec\n", + "--- Update = 8.3180e-03 sec\n", + "--- Collate = 9.9170e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.491380e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.401341e-02 > 2.000000e-03 [42047]\n", + "--- Min DT=3.475979e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.401520e-02 > 2.000000e-03 [42049]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 42047/60000\n", + " Component | low: 1/20000\n", + " Component | high: 42049/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.338] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00237462 [ 0.10 %]\n", - "Velocity : 0.016403 [ 0.69 %]\n", - "Force : 0.709263 [ 29.90 %]\n", - "Coefs : 0.372739 [ 15.71 %]\n", - "Output : 0.0272802 [ 1.15 %]\n", - "Levels : 0.000669522 [ 0.03 %]\n", - "Report : 1.399e-06 [ 0.00 %]\n", - "Balance : 8.56e-07 [ 0.00 %]\n", - "Adjust : 1.24253 [ 52.38 %]\n", - "Total : 2.37205 [100.00 %]\n", - "----------------------------------------------------------------------\n", - "\n", - "----------------------------------------------------------------------\n", - "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.0111e-02 sec\n", - "--- Collate = 8.2665e-05 sec\n", + "Drift : 0.00172441 [ 0.13 %]\n", + "Velocity : 0.00805281 [ 0.61 %]\n", + "Force : 0.43577 [ 33.19 %]\n", + "Coefs : 0.17862 [ 13.60 %]\n", + "Output : 0.0208724 [ 1.59 %]\n", + "Levels : 0.000575751 [ 0.04 %]\n", + "Report : 9.81e-07 [ 0.00 %]\n", + "Balance : 5.64e-07 [ 0.00 %]\n", + "Adjust : 0.666911 [ 50.79 %]\n", + "Total : 1.31311 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.8469e-03 sec\n", + "--- Collate = 8.4556e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.401383e-02 > 2.000000e-03 [42036]\n", + "--- Max DT=2.400967e-02 > 2.000000e-03 [42036]\n", "----------------------------------------------------------------------\n", " Component | high: 42036/60000\n", " Component | high: 0/20000\n", @@ -5884,94 +5730,97 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.34] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00240215 [ 0.09 %]\n", - "Velocity : 0.00933064 [ 0.36 %]\n", - "Force : 0.722496 [ 27.69 %]\n", - "Coefs : 0.392586 [ 15.05 %]\n", - "Output : 0.175291 [ 6.72 %]\n", - "Levels : 0.00061027 [ 0.02 %]\n", - "Report : 1.418e-06 [ 0.00 %]\n", - "Balance : 7.51e-07 [ 0.00 %]\n", - "Adjust : 1.30552 [ 50.04 %]\n", - "Total : 2.6091 [100.00 %]\n", + "Drift : 0.00168382 [ 0.12 %]\n", + "Velocity : 0.00756578 [ 0.54 %]\n", + "Force : 0.448355 [ 31.84 %]\n", + "Coefs : 0.162504 [ 11.54 %]\n", + "Output : 0.127858 [ 9.08 %]\n", + "Levels : 0.000525338 [ 0.04 %]\n", + "Report : 1.055e-06 [ 0.00 %]\n", + "Balance : 5.49e-07 [ 0.00 %]\n", + "Adjust : 0.658899 [ 46.80 %]\n", + "Total : 1.40796 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.1%\n", + "--- Coef/DT = 5.3%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.2629e-02 sec\n", - "--- Collate = 1.2452e-04 sec\n", + "--- Update = 7.9357e-03 sec\n", + "--- Collate = 6.2507e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.866818e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.401142e-02 > 2.000000e-03 [42030]\n", + "--- Min DT=3.028832e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.401088e-02 > 2.000000e-03 [42024]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 42030/60000\n", + " Component | low: 1/20000\n", + " Component | high: 42024/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.342] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00209358 [ 0.07 %]\n", - "Velocity : 0.00939387 [ 0.32 %]\n", - "Force : 0.854112 [ 29.17 %]\n", - "Coefs : 0.591194 [ 20.19 %]\n", - "Output : 0.0255036 [ 0.87 %]\n", - "Levels : 0.000674311 [ 0.02 %]\n", - "Report : 1.263e-06 [ 0.00 %]\n", - "Balance : 7.64e-07 [ 0.00 %]\n", - "Adjust : 1.44473 [ 49.33 %]\n", - "Total : 2.92854 [100.00 %]\n", + "Drift : 0.00163411 [ 0.12 %]\n", + "Velocity : 0.00811438 [ 0.58 %]\n", + "Force : 0.450922 [ 32.12 %]\n", + "Coefs : 0.180318 [ 12.85 %]\n", + "Output : 0.0209033 [ 1.49 %]\n", + "Levels : 0.000537695 [ 0.04 %]\n", + "Report : 1.272e-06 [ 0.00 %]\n", + "Balance : 5.81e-07 [ 0.00 %]\n", + "Adjust : 0.740676 [ 52.77 %]\n", + "Total : 1.40369 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.8%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.6935e-02 sec\n", - "--- Collate = 7.7956e-05 sec\n", + "--- Coef/DT = 6.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.5695e-03 sec\n", + "--- Collate = 9.7087e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.400141e-02 > 2.000000e-03 [42010]\n", + "--- Min DT=3.353887e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.400686e-02 > 2.000000e-03 [42014]\n", "----------------------------------------------------------------------\n", - " Component | high: 42010/60000\n", + " Component | low: 1/60000\n", + " Component | low: 1/20000\n", + " Component | high: 42014/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.344] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00226056 [ 0.11 %]\n", - "Velocity : 0.00868729 [ 0.42 %]\n", - "Force : 0.687521 [ 33.41 %]\n", - "Coefs : 0.274898 [ 13.36 %]\n", - "Output : 0.0257893 [ 1.25 %]\n", - "Levels : 0.000657615 [ 0.03 %]\n", - "Report : 1.105e-06 [ 0.00 %]\n", - "Balance : 8.59e-07 [ 0.00 %]\n", - "Adjust : 1.0571 [ 51.37 %]\n", - "Total : 2.05776 [100.00 %]\n", + "Drift : 0.00174703 [ 0.14 %]\n", + "Velocity : 0.00725346 [ 0.59 %]\n", + "Force : 0.413349 [ 33.54 %]\n", + "Coefs : 0.155713 [ 12.64 %]\n", + "Output : 0.0198562 [ 1.61 %]\n", + "Levels : 0.000520661 [ 0.04 %]\n", + "Report : 7.09e-07 [ 0.00 %]\n", + "Balance : 5.1e-07 [ 0.00 %]\n", + "Adjust : 0.633327 [ 51.39 %]\n", + "Total : 1.23239 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.1%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0834e-02 sec\n", - "--- Collate = 7.8897e-05 sec\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.8747e-03 sec\n", + "--- Collate = 6.9603e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.399221e-02 > 2.000000e-03 [42020]\n", + "--- Max DT=2.399825e-02 > 2.000000e-03 [42020]\n", "----------------------------------------------------------------------\n", " Component | high: 42020/60000\n", " Component | high: 0/20000\n", @@ -5980,224 +5829,194 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.346] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0020082 [ 0.09 %]\n", - "Velocity : 0.00933308 [ 0.43 %]\n", - "Force : 0.648603 [ 30.10 %]\n", - "Coefs : 0.352701 [ 16.37 %]\n", - "Output : 0.028619 [ 1.33 %]\n", - "Levels : 0.000582721 [ 0.03 %]\n", - "Report : 1.318e-06 [ 0.00 %]\n", - "Balance : 8.82e-07 [ 0.00 %]\n", - "Adjust : 1.11236 [ 51.62 %]\n", - "Total : 2.15511 [100.00 %]\n", - "----------------------------------------------------------------------\n", - "\n", - "----------------------------------------------------------------------\n", - "--- Timer info in comp, mlevel=5--------------------------------------\n", - "----------------------------------------------------------------------\n", - " COM: 2.837155e-03\n", - " Position: 9.038515e+00\n", - " --------------------------------------------------\n", - " *** fix pos : 8.530921e+00 \n", - " --------------------------------------------------\n", - " Ang mom: 6.308936e+00\n", - " Zero: 6.516720e-01\n", - " Accel: 4.226516e+01\n", - " Interaction: 1.095794e+01\n", - " --------------------------------------------------\n", - " *** dark halo <=> star disk : 6.073862e+00\n", - " *** star disk <=> dark halo : 4.841557e+00\n", - " --------------------------------------------------\n", - " External: 2.040175e-02\n", - " Expand: 5.017273e+01\n", - " Force: 4.312122e+01\n", - " Elapsed: 3.000013e+02\n", - "----------------------------------------------------------------------\n", - "\n", - "mstep/Mstep=104/256\n", - "0 |120 1 |119 2 |239 3 |478 4 |956 \n", - "5 |1913 6 |3825 7 |7650 8 |15300 \n", + "Drift : 0.00142063 [ 0.11 %]\n", + "Velocity : 0.00716584 [ 0.55 %]\n", + "Force : 0.442687 [ 34.21 %]\n", + "Coefs : 0.162967 [ 12.59 %]\n", + "Output : 0.0205965 [ 1.59 %]\n", + "Levels : 0.000596556 [ 0.05 %]\n", + "Report : 8.24e-07 [ 0.00 %]\n", + "Balance : 4.69e-07 [ 0.00 %]\n", + "Adjust : 0.65816 [ 50.86 %]\n", + "Total : 1.29418 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0894e-02 sec\n", - "--- Collate = 6.4530e-05 sec\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.0363e-03 sec\n", + "--- Collate = 7.3684e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.994543e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.398947e-02 > 2.000000e-03 [42028]\n", + "--- Max DT=2.399120e-02 > 2.000000e-03 [42029]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 42028/60000\n", + " Component | high: 42029/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.348] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00201663 [ 0.09 %]\n", - "Velocity : 0.0106615 [ 0.47 %]\n", - "Force : 0.693985 [ 30.36 %]\n", - "Coefs : 0.348223 [ 15.23 %]\n", - "Output : 0.0295892 [ 1.29 %]\n", - "Levels : 0.00085167 [ 0.04 %]\n", - "Report : 1.776e-06 [ 0.00 %]\n", - "Balance : 1.246e-06 [ 0.00 %]\n", - "Adjust : 1.20012 [ 52.49 %]\n", - "Total : 2.2862 [100.00 %]\n", + "Drift : 0.0016203 [ 0.13 %]\n", + "Velocity : 0.00723446 [ 0.59 %]\n", + "Force : 0.41452 [ 33.55 %]\n", + "Coefs : 0.157432 [ 12.74 %]\n", + "Output : 0.0197933 [ 1.60 %]\n", + "Levels : 0.000543365 [ 0.04 %]\n", + "Report : 1.302e-06 [ 0.00 %]\n", + "Balance : 6.45e-07 [ 0.00 %]\n", + "Adjust : 0.633876 [ 51.30 %]\n", + "Total : 1.23558 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.3%\n", + "--- Coef/DT = 5.9%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0483e-02 sec\n", - "--- Collate = 6.8333e-05 sec\n", + "--- Update = 8.2898e-03 sec\n", + "--- Collate = 7.7136e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.707857e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.399016e-02 > 2.000000e-03 [42050]\n", + "--- Max DT=2.398824e-02 > 2.000000e-03 [42052]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 42050/60000\n", + " Component | high: 42052/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.35] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00232368 [ 0.11 %]\n", - "Velocity : 0.00920355 [ 0.45 %]\n", - "Force : 0.673223 [ 33.18 %]\n", - "Coefs : 0.273805 [ 13.49 %]\n", - "Output : 0.0288446 [ 1.42 %]\n", - "Levels : 0.000602913 [ 0.03 %]\n", - "Report : 1.606e-06 [ 0.00 %]\n", - "Balance : 8.6e-07 [ 0.00 %]\n", - "Adjust : 1.04037 [ 51.27 %]\n", - "Total : 2.0292 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00179369 [ 0.14 %]\n", + "Velocity : 0.00773387 [ 0.61 %]\n", + "Force : 0.419777 [ 33.22 %]\n", + "Coefs : 0.16033 [ 12.69 %]\n", + "Output : 0.0208085 [ 1.65 %]\n", + "Levels : 0.000537063 [ 0.04 %]\n", + "Report : 1.203e-06 [ 0.00 %]\n", + "Balance : 6.55e-07 [ 0.00 %]\n", + "Adjust : 0.652251 [ 51.61 %]\n", + "Total : 1.2638 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.1%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 2.0644e-02 sec\n", - "--- Collate = 8.6282e-05 sec\n", + "--- Coef/DT = 6.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.9267e-03 sec\n", + "--- Collate = 6.6583e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.398348e-02 > 2.000000e-03 [42036]\n", + "--- Max DT=2.398414e-02 > 2.000000e-03 [42033]\n", "----------------------------------------------------------------------\n", - " Component | high: 42036/60000\n", + " Component | high: 42033/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.352] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00223979 [ 0.11 %]\n", - "Velocity : 0.0101218 [ 0.51 %]\n", - "Force : 0.602738 [ 30.10 %]\n", - "Coefs : 0.268686 [ 13.42 %]\n", - "Output : 0.0260062 [ 1.30 %]\n", - "Levels : 0.000784478 [ 0.04 %]\n", - "Report : 1.566e-06 [ 0.00 %]\n", - "Balance : 7.03e-07 [ 0.00 %]\n", - "Adjust : 1.09078 [ 54.48 %]\n", - "Total : 2.0022 [100.00 %]\n", + "Drift : 0.00174812 [ 0.14 %]\n", + "Velocity : 0.00721647 [ 0.58 %]\n", + "Force : 0.418958 [ 33.86 %]\n", + "Coefs : 0.157733 [ 12.75 %]\n", + "Output : 0.0199842 [ 1.62 %]\n", + "Levels : 0.000466133 [ 0.04 %]\n", + "Report : 8.29e-07 [ 0.00 %]\n", + "Balance : 5.21e-07 [ 0.00 %]\n", + "Adjust : 0.630644 [ 50.97 %]\n", + "Total : 1.23732 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.2%\n", + "--- Coef/DT = 6.0%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0253e-02 sec\n", - "--- Collate = 8.0746e-05 sec\n", + "--- Update = 7.8333e-03 sec\n", + "--- Collate = 5.8962e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.398050e-02 > 2.000000e-03 [42038]\n", + "--- Min DT=3.785165e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.397895e-02 > 2.000000e-03 [42041]\n", "----------------------------------------------------------------------\n", - " Component | high: 42038/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 42041/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.354] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00167439 [ 0.08 %]\n", - "Velocity : 0.00730054 [ 0.35 %]\n", - "Force : 0.640806 [ 31.10 %]\n", - "Coefs : 0.313106 [ 15.19 %]\n", - "Output : 0.0221141 [ 1.07 %]\n", - "Levels : 0.000861421 [ 0.04 %]\n", - "Report : 1.308e-06 [ 0.00 %]\n", - "Balance : 8.02e-07 [ 0.00 %]\n", - "Adjust : 1.07408 [ 52.12 %]\n", - "Total : 2.06073 [100.00 %]\n", + "Drift : 0.00146393 [ 0.12 %]\n", + "Velocity : 0.00738551 [ 0.61 %]\n", + "Force : 0.405196 [ 33.45 %]\n", + "Coefs : 0.154616 [ 12.76 %]\n", + "Output : 0.0194398 [ 1.60 %]\n", + "Levels : 0.000525988 [ 0.04 %]\n", + "Report : 1.397e-06 [ 0.00 %]\n", + "Balance : 6.38e-07 [ 0.00 %]\n", + "Adjust : 0.622176 [ 51.36 %]\n", + "Total : 1.21136 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.3%\n", + "--- Coef/DT = 5.5%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 3.0613e-02 sec\n", - "--- Collate = 7.9729e-05 sec\n", + "--- Update = 7.2940e-03 sec\n", + "--- Collate = 6.5479e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.894397e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.398319e-02 > 2.000000e-03 [42015]\n", + "--- Max DT=2.397523e-02 > 2.000000e-03 [42021]\n", "----------------------------------------------------------------------\n", - " Component | low: 1/60000\n", - " Component | low: 0/20000\n", - " Component | high: 42015/60000\n", + " Component | high: 42021/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.356] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00196497 [ 0.09 %]\n", - "Velocity : 0.0132003 [ 0.61 %]\n", - "Force : 0.677526 [ 31.53 %]\n", - "Coefs : 0.294832 [ 13.72 %]\n", - "Output : 0.0260134 [ 1.21 %]\n", - "Levels : 0.000860199 [ 0.04 %]\n", - "Report : 1.258e-06 [ 0.00 %]\n", - "Balance : 9e-07 [ 0.00 %]\n", - "Adjust : 1.13368 [ 52.75 %]\n", - "Total : 2.149 [100.00 %]\n", + "Drift : 0.00167093 [ 0.13 %]\n", + "Velocity : 0.00712537 [ 0.56 %]\n", + "Force : 0.421335 [ 33.35 %]\n", + "Coefs : 0.159808 [ 12.65 %]\n", + "Output : 0.020098 [ 1.59 %]\n", + "Levels : 0.000515176 [ 0.04 %]\n", + "Report : 1.055e-06 [ 0.00 %]\n", + "Balance : 5.29e-07 [ 0.00 %]\n", + "Adjust : 0.652106 [ 51.62 %]\n", + "Total : 1.26322 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.7%\n", + "--- Coef/DT = 5.7%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.8333e-02 sec\n", - "--- Collate = 1.1446e-04 sec\n", + "--- Update = 8.3668e-03 sec\n", + "--- Collate = 6.8839e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.031118e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.399166e-02 > 2.000000e-03 [42010]\n", + "--- Max DT=2.397891e-02 > 2.000000e-03 [42010]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", " Component | high: 42010/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -6205,636 +6024,669 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.358] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00173239 [ 0.08 %]\n", - "Velocity : 0.0139663 [ 0.67 %]\n", - "Force : 0.648325 [ 31.02 %]\n", - "Coefs : 0.307989 [ 14.73 %]\n", - "Output : 0.0339943 [ 1.63 %]\n", - "Levels : 0.000692008 [ 0.03 %]\n", - "Report : 1.501e-06 [ 0.00 %]\n", - "Balance : 7.4e-07 [ 0.00 %]\n", - "Adjust : 1.0828 [ 51.80 %]\n", - "Total : 2.09034 [100.00 %]\n", + "Drift : 0.00168258 [ 0.13 %]\n", + "Velocity : 0.00759657 [ 0.60 %]\n", + "Force : 0.421652 [ 33.53 %]\n", + "Coefs : 0.158932 [ 12.64 %]\n", + "Output : 0.019988 [ 1.59 %]\n", + "Levels : 0.000543302 [ 0.04 %]\n", + "Report : 1.223e-06 [ 0.00 %]\n", + "Balance : 6.24e-07 [ 0.00 %]\n", + "Adjust : 0.646664 [ 51.42 %]\n", + "Total : 1.25766 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.6%\n", + "--- Coef/DT = 5.4%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 1.5693e-02 sec\n", - "--- Collate = 1.1476e-04 sec\n", + "--- Update = 8.3717e-03 sec\n", + "--- Collate = 7.0985e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.250177e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.400002e-02 > 2.000000e-03 [42020]\n", + "--- Min DT=9.880862e-07 < 7.812500e-06 [2]\n", + "--- Max DT=2.398360e-02 > 2.000000e-03 [42024]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 42020/60000\n", + " Component | low: 2/20000\n", + " Component | high: 42024/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.36] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00226322 [ 0.08 %]\n", - "Velocity : 0.0120281 [ 0.43 %]\n", - "Force : 0.782581 [ 27.80 %]\n", - "Coefs : 0.541811 [ 19.25 %]\n", - "Output : 0.181842 [ 6.46 %]\n", - "Levels : 0.000670628 [ 0.02 %]\n", - "Report : 1.481e-06 [ 0.00 %]\n", - "Balance : 9.5e-07 [ 0.00 %]\n", - "Adjust : 1.29278 [ 45.93 %]\n", - "Total : 2.81482 [100.00 %]\n", + "Drift : 0.00161838 [ 0.11 %]\n", + "Velocity : 0.00760526 [ 0.53 %]\n", + "Force : 0.446938 [ 31.18 %]\n", + "Coefs : 0.166677 [ 11.63 %]\n", + "Output : 0.128723 [ 8.98 %]\n", + "Levels : 0.000550353 [ 0.04 %]\n", + "Report : 1.146e-06 [ 0.00 %]\n", + "Balance : 6.47e-07 [ 0.00 %]\n", + "Adjust : 0.680483 [ 47.48 %]\n", + "Total : 1.43324 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", + "--- Coef/DT = 5.1%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.4774e-02 sec\n", - "--- Collate = 9.6185e-05 sec\n", + "--- Update = 8.5121e-03 sec\n", + "--- Collate = 5.5307e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.399887e-02 > 2.000000e-03 [42041]\n", + "--- Max DT=2.398279e-02 > 2.000000e-03 [42044]\n", "----------------------------------------------------------------------\n", - " Component | high: 42041/60000\n", + " Component | high: 42044/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.362] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00154918 [ 0.08 %]\n", - "Velocity : 0.00616436 [ 0.30 %]\n", - "Force : 0.648055 [ 31.51 %]\n", - "Coefs : 0.290123 [ 14.10 %]\n", - "Output : 0.0204985 [ 1.00 %]\n", - "Levels : 0.000634981 [ 0.03 %]\n", - "Report : 1.675e-06 [ 0.00 %]\n", - "Balance : 8.41e-07 [ 0.00 %]\n", - "Adjust : 1.08897 [ 52.94 %]\n", - "Total : 2.05689 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00158225 [ 0.11 %]\n", + "Velocity : 0.0080122 [ 0.57 %]\n", + "Force : 0.470157 [ 33.47 %]\n", + "Coefs : 0.175368 [ 12.48 %]\n", + "Output : 0.0225128 [ 1.60 %]\n", + "Levels : 0.000486466 [ 0.03 %]\n", + "Report : 1.142e-06 [ 0.00 %]\n", + "Balance : 7.44e-07 [ 0.00 %]\n", + "Adjust : 0.725893 [ 51.68 %]\n", + "Total : 1.40466 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.4%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.1114e-02 sec\n", - "--- Collate = 9.5067e-05 sec\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.6596e-03 sec\n", + "--- Collate = 8.1120e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.399147e-02 > 2.000000e-03 [42031]\n", + "--- Min DT=3.603605e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.397627e-02 > 2.000000e-03 [42033]\n", "----------------------------------------------------------------------\n", - " Component | high: 42031/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 42033/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.364] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00147185 [ 0.08 %]\n", - "Velocity : 0.00569111 [ 0.29 %]\n", - "Force : 0.638988 [ 32.58 %]\n", - "Coefs : 0.299637 [ 15.28 %]\n", - "Output : 0.0217327 [ 1.11 %]\n", - "Levels : 0.000675885 [ 0.03 %]\n", - "Report : 1.596e-06 [ 0.00 %]\n", - "Balance : 6.94e-07 [ 0.00 %]\n", - "Adjust : 0.991985 [ 50.58 %]\n", - "Total : 1.96107 [100.00 %]\n", + "Drift : 0.00180305 [ 0.13 %]\n", + "Velocity : 0.00811997 [ 0.57 %]\n", + "Force : 0.479644 [ 33.74 %]\n", + "Coefs : 0.179568 [ 12.63 %]\n", + "Output : 0.023848 [ 1.68 %]\n", + "Levels : 0.000606477 [ 0.04 %]\n", + "Report : 1.25e-06 [ 0.00 %]\n", + "Balance : 7.49e-07 [ 0.00 %]\n", + "Adjust : 0.727515 [ 51.17 %]\n", + "Total : 1.42178 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.9%\n", + "--- Coef/DT = 5.2%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.2361e-02 sec\n", - "--- Collate = 1.0458e-04 sec\n", + "--- Update = 7.2014e-03 sec\n", + "--- Collate = 5.8650e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.398395e-02 > 2.000000e-03 [42037]\n", + "--- Min DT=2.278633e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.396555e-02 > 2.000000e-03 [42031]\n", "----------------------------------------------------------------------\n", - " Component | high: 42037/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 42031/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.366] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00145294 [ 0.06 %]\n", - "Velocity : 0.0069782 [ 0.30 %]\n", - "Force : 0.693654 [ 30.15 %]\n", - "Coefs : 0.359675 [ 15.63 %]\n", - "Output : 0.0241537 [ 1.05 %]\n", - "Levels : 0.000695962 [ 0.03 %]\n", - "Report : 1.589e-06 [ 0.00 %]\n", - "Balance : 1.133e-06 [ 0.00 %]\n", - "Adjust : 1.21342 [ 52.74 %]\n", - "Total : 2.30091 [100.00 %]\n", + "Drift : 0.00184141 [ 0.15 %]\n", + "Velocity : 0.0075316 [ 0.60 %]\n", + "Force : 0.435332 [ 34.45 %]\n", + "Coefs : 0.161914 [ 12.81 %]\n", + "Output : 0.019632 [ 1.55 %]\n", + "Levels : 0.000490862 [ 0.04 %]\n", + "Report : 1.088e-06 [ 0.00 %]\n", + "Balance : 7.2e-07 [ 0.00 %]\n", + "Adjust : 0.636171 [ 50.35 %]\n", + "Total : 1.26352 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", + "--- Coef/DT = 5.3%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 1.0747e-02 sec\n", - "--- Collate = 9.5346e-05 sec\n", + "--- Update = 8.3089e-03 sec\n", + "--- Collate = 6.9612e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.085685e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.397426e-02 > 2.000000e-03 [42018]\n", + "--- Min DT=3.799808e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.396131e-02 > 2.000000e-03 [42022]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 42018/60000\n", + " Component | high: 42022/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.368] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00139207 [ 0.06 %]\n", - "Velocity : 0.00587991 [ 0.26 %]\n", - "Force : 0.716322 [ 31.47 %]\n", - "Coefs : 0.4023 [ 17.68 %]\n", - "Output : 0.0185882 [ 0.82 %]\n", - "Levels : 0.000603429 [ 0.03 %]\n", - "Report : 1.49e-06 [ 0.00 %]\n", - "Balance : 9.69e-07 [ 0.00 %]\n", - "Adjust : 1.12587 [ 49.47 %]\n", - "Total : 2.27586 [100.00 %]\n", + "Drift : 0.00170374 [ 0.14 %]\n", + "Velocity : 0.00772272 [ 0.61 %]\n", + "Force : 0.429662 [ 34.16 %]\n", + "Coefs : 0.162096 [ 12.89 %]\n", + "Output : 0.0199158 [ 1.58 %]\n", + "Levels : 0.000463432 [ 0.04 %]\n", + "Report : 1.186e-06 [ 0.00 %]\n", + "Balance : 7e-07 [ 0.00 %]\n", + "Adjust : 0.63571 [ 50.54 %]\n", + "Total : 1.25785 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 9.0%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0208e-02 sec\n", - "--- Collate = 1.0460e-04 sec\n", + "--- Coef/DT = 4.8%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.5949e-03 sec\n", + "--- Collate = 5.9930e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.387008e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.396456e-02 > 2.000000e-03 [42006]\n", + "--- Min DT=1.910410e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.396439e-02 > 2.000000e-03 [42015]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 42006/60000\n", + " Component | high: 42015/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.37] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00143817 [ 0.06 %]\n", - "Velocity : 0.00625654 [ 0.28 %]\n", - "Force : 0.672624 [ 29.98 %]\n", - "Coefs : 0.362083 [ 16.14 %]\n", - "Output : 0.0179522 [ 0.80 %]\n", - "Levels : 0.000639861 [ 0.03 %]\n", - "Report : 1.815e-06 [ 0.00 %]\n", - "Balance : 1.107e-06 [ 0.00 %]\n", - "Adjust : 1.18177 [ 52.67 %]\n", - "Total : 2.24361 [100.00 %]\n", + "Drift : 0.00170279 [ 0.13 %]\n", + "Velocity : 0.00731392 [ 0.58 %]\n", + "Force : 0.435584 [ 34.41 %]\n", + "Coefs : 0.160596 [ 12.69 %]\n", + "Output : 0.019533 [ 1.54 %]\n", + "Levels : 0.000496212 [ 0.04 %]\n", + "Report : 1.078e-06 [ 0.00 %]\n", + "Balance : 7.39e-07 [ 0.00 %]\n", + "Adjust : 0.639912 [ 50.56 %]\n", + "Total : 1.26569 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.2%\n", + "--- Coef/DT = 4.1%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0978e-02 sec\n", - "--- Collate = 8.2061e-05 sec\n", + "--- Update = 7.4821e-03 sec\n", + "--- Collate = 8.6223e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.409568e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.395800e-02 > 2.000000e-03 [42016]\n", + "--- Max DT=2.396512e-02 > 2.000000e-03 [42015]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 42016/60000\n", - " Component | high: 0/20000\n", + " Component | high: 42014/60000\n", + " Component | high: 1/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.372] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00159506 [ 0.07 %]\n", - "Velocity : 0.00677801 [ 0.30 %]\n", - "Force : 0.672448 [ 29.33 %]\n", - "Coefs : 0.412517 [ 17.99 %]\n", - "Output : 0.0218073 [ 0.95 %]\n", - "Levels : 0.00067431 [ 0.03 %]\n", - "Report : 1.51e-06 [ 0.00 %]\n", - "Balance : 8.27e-07 [ 0.00 %]\n", - "Adjust : 1.17583 [ 51.29 %]\n", - "Total : 2.29253 [100.00 %]\n", + "Drift : 0.00171588 [ 0.14 %]\n", + "Velocity : 0.00734798 [ 0.59 %]\n", + "Force : 0.42254 [ 34.21 %]\n", + "Coefs : 0.158624 [ 12.84 %]\n", + "Output : 0.0197362 [ 1.60 %]\n", + "Levels : 0.00054493 [ 0.04 %]\n", + "Report : 1.149e-06 [ 0.00 %]\n", + "Balance : 7.52e-07 [ 0.00 %]\n", + "Adjust : 0.624094 [ 50.53 %]\n", + "Total : 1.23518 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.5%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.1022e-02 sec\n", - "--- Collate = 7.8471e-05 sec\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.0%\n", + "--- Update = 8.4554e-03 sec\n", + "--- Collate = 8.4960e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.668965e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.395631e-02 > 2.000000e-03 [42019]\n", + "--- Min DT=3.034007e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.397111e-02 > 2.000000e-03 [42022]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 42019/60000\n", + " Component | low: 1/20000\n", + " Component | high: 42022/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.374] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00177287 [ 0.09 %]\n", - "Velocity : 0.00647741 [ 0.31 %]\n", - "Force : 0.67493 [ 32.50 %]\n", - "Coefs : 0.319123 [ 15.37 %]\n", - "Output : 0.0205072 [ 0.99 %]\n", - "Levels : 0.000728523 [ 0.04 %]\n", - "Report : 1.235e-06 [ 0.00 %]\n", - "Balance : 9.55e-07 [ 0.00 %]\n", - "Adjust : 1.0522 [ 50.67 %]\n", - "Total : 2.07661 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00157042 [ 0.12 %]\n", + "Velocity : 0.00667696 [ 0.52 %]\n", + "Force : 0.445452 [ 34.37 %]\n", + "Coefs : 0.165972 [ 12.81 %]\n", + "Output : 0.019616 [ 1.51 %]\n", + "Levels : 0.000608013 [ 0.05 %]\n", + "Report : 1.23e-06 [ 0.00 %]\n", + "Balance : 7.16e-07 [ 0.00 %]\n", + "Adjust : 0.655618 [ 50.58 %]\n", + "Total : 1.29612 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.9%\n", + "--- Coef/DT = 5.5%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.3814e-02 sec\n", - "--- Collate = 8.6198e-05 sec\n", + "--- Update = 6.8448e-03 sec\n", + "--- Collate = 5.0949e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.396278e-02 > 2.000000e-03 [42038]\n", + "--- Max DT=2.398269e-02 > 2.000000e-03 [42035]\n", "----------------------------------------------------------------------\n", - " Component | high: 42038/60000\n", + " Component | high: 42035/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.376] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00141018 [ 0.06 %]\n", - "Velocity : 0.00637563 [ 0.29 %]\n", - "Force : 0.703749 [ 31.64 %]\n", - "Coefs : 0.32663 [ 14.69 %]\n", - "Output : 0.0178815 [ 0.80 %]\n", - "Levels : 0.000657921 [ 0.03 %]\n", - "Report : 1.382e-06 [ 0.00 %]\n", - "Balance : 7.37e-07 [ 0.00 %]\n", - "Adjust : 1.16656 [ 52.45 %]\n", - "Total : 2.22409 [100.00 %]\n", + "Drift : 0.00179753 [ 0.14 %]\n", + "Velocity : 0.00723429 [ 0.57 %]\n", + "Force : 0.436176 [ 34.23 %]\n", + "Coefs : 0.161743 [ 12.69 %]\n", + "Output : 0.0196988 [ 1.55 %]\n", + "Levels : 0.000537954 [ 0.04 %]\n", + "Report : 6.81e-07 [ 0.00 %]\n", + "Balance : 5.69e-07 [ 0.00 %]\n", + "Adjust : 0.646479 [ 50.73 %]\n", + "Total : 1.27427 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.7%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0965e-02 sec\n", - "--- Collate = 9.9706e-05 sec\n", + "--- Coef/DT = 6.1%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.3119e-03 sec\n", + "--- Collate = 8.7489e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.583425e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.397287e-02 > 2.000000e-03 [42048]\n", + "--- Max DT=2.398841e-02 > 2.000000e-03 [42043]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 42048/60000\n", + " Component | high: 42043/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.378] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00187279 [ 0.07 %]\n", - "Velocity : 0.0121399 [ 0.44 %]\n", - "Force : 0.787537 [ 28.85 %]\n", - "Coefs : 0.438766 [ 16.07 %]\n", - "Output : 0.022147 [ 0.81 %]\n", - "Levels : 0.000706841 [ 0.03 %]\n", - "Report : 1.514e-06 [ 0.00 %]\n", - "Balance : 9.95e-07 [ 0.00 %]\n", - "Adjust : 1.46565 [ 53.69 %]\n", - "Total : 2.72967 [100.00 %]\n", + "Drift : 0.00144492 [ 0.11 %]\n", + "Velocity : 0.00709104 [ 0.54 %]\n", + "Force : 0.456113 [ 34.80 %]\n", + "Coefs : 0.161691 [ 12.34 %]\n", + "Output : 0.0202901 [ 1.55 %]\n", + "Levels : 0.000536253 [ 0.04 %]\n", + "Report : 1.022e-06 [ 0.00 %]\n", + "Balance : 7.28e-07 [ 0.00 %]\n", + "Adjust : 0.662928 [ 50.58 %]\n", + "Total : 1.31068 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.9%\n", + "--- Coef/DT = 5.6%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0911e-02 sec\n", - "--- Collate = 1.1433e-04 sec\n", + "--- Update = 7.9397e-03 sec\n", + "--- Collate = 6.0885e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.398308e-02 > 2.000000e-03 [42037]\n", + "--- Min DT=3.891748e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.398767e-02 > 2.000000e-03 [42041]\n", "----------------------------------------------------------------------\n", - " Component | high: 42037/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 42041/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.38] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00173293 [ 0.07 %]\n", - "Velocity : 0.00733922 [ 0.29 %]\n", - "Force : 0.684894 [ 26.98 %]\n", - "Coefs : 0.382824 [ 15.08 %]\n", - "Output : 0.169241 [ 6.67 %]\n", - "Levels : 0.000742192 [ 0.03 %]\n", - "Report : 2.042e-06 [ 0.00 %]\n", - "Balance : 1.267e-06 [ 0.00 %]\n", - "Adjust : 1.29051 [ 50.84 %]\n", - "Total : 2.53826 [100.00 %]\n", + "Drift : 0.00182364 [ 0.13 %]\n", + "Velocity : 0.00769121 [ 0.54 %]\n", + "Force : 0.453507 [ 31.61 %]\n", + "Coefs : 0.172143 [ 12.00 %]\n", + "Output : 0.127097 [ 8.86 %]\n", + "Levels : 0.000484862 [ 0.03 %]\n", + "Report : 1.075e-06 [ 0.00 %]\n", + "Balance : 6.46e-07 [ 0.00 %]\n", + "Adjust : 0.671163 [ 46.79 %]\n", + "Total : 1.43452 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", + "--- Coef/DT = 5.0%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 1.2776e-02 sec\n", - "--- Collate = 9.4730e-05 sec\n", + "--- Update = 8.2728e-03 sec\n", + "--- Collate = 8.9595e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.398650e-02 > 2.000000e-03 [42033]\n", + "--- Min DT=1.973621e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.399237e-02 > 2.000000e-03 [42030]\n", "----------------------------------------------------------------------\n", - " Component | high: 42033/60000\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 42030/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.382] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00150588 [ 0.06 %]\n", - "Velocity : 0.00615211 [ 0.26 %]\n", - "Force : 0.783045 [ 32.52 %]\n", - "Coefs : 0.365794 [ 15.19 %]\n", - "Output : 0.0215518 [ 0.90 %]\n", - "Levels : 0.000527874 [ 0.02 %]\n", - "Report : 1.548e-06 [ 0.00 %]\n", - "Balance : 8.74e-07 [ 0.00 %]\n", - "Adjust : 1.22816 [ 51.01 %]\n", - "Total : 2.40759 [100.00 %]\n", + "Drift : 0.00176011 [ 0.14 %]\n", + "Velocity : 0.00719874 [ 0.58 %]\n", + "Force : 0.417396 [ 33.81 %]\n", + "Coefs : 0.158831 [ 12.87 %]\n", + "Output : 0.0190182 [ 1.54 %]\n", + "Levels : 0.000627385 [ 0.05 %]\n", + "Report : 1.027e-06 [ 0.00 %]\n", + "Balance : 5.72e-07 [ 0.00 %]\n", + "Adjust : 0.629142 [ 50.96 %]\n", + "Total : 1.23456 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.1%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.1692e-02 sec\n", - "--- Collate = 8.0595e-05 sec\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.4775e-03 sec\n", + "--- Collate = 6.6885e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.398782e-02 > 2.000000e-03 [42035]\n", + "--- Max DT=2.400070e-02 > 2.000000e-03 [42031]\n", "----------------------------------------------------------------------\n", - " Component | high: 42035/60000\n", + " Component | high: 42031/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.384] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00132514 [ 0.07 %]\n", - "Velocity : 0.00534625 [ 0.27 %]\n", - "Force : 0.613177 [ 30.79 %]\n", - "Coefs : 0.325812 [ 16.36 %]\n", - "Output : 0.0176522 [ 0.89 %]\n", - "Levels : 0.000487436 [ 0.02 %]\n", - "Report : 1.354e-06 [ 0.00 %]\n", - "Balance : 6.59e-07 [ 0.00 %]\n", - "Adjust : 1.02684 [ 51.56 %]\n", - "Total : 1.9915 [100.00 %]\n", + "Drift : 0.00177523 [ 0.14 %]\n", + "Velocity : 0.00720634 [ 0.57 %]\n", + "Force : 0.427906 [ 33.79 %]\n", + "Coefs : 0.159206 [ 12.57 %]\n", + "Output : 0.0204745 [ 1.62 %]\n", + "Levels : 0.000592884 [ 0.05 %]\n", + "Report : 1.167e-06 [ 0.00 %]\n", + "Balance : 6.8e-07 [ 0.00 %]\n", + "Adjust : 0.64855 [ 51.21 %]\n", + "Total : 1.26634 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.6%\n", + "--- Coef/DT = 5.0%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.1677e-02 sec\n", - "--- Collate = 1.1333e-04 sec\n", + "--- Update = 7.6137e-03 sec\n", + "--- Collate = 6.8063e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.398836e-02 > 2.000000e-03 [42019]\n", + "--- Min DT=2.829468e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.400453e-02 > 2.000000e-03 [42020]\n", "----------------------------------------------------------------------\n", - " Component | high: 42019/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 42020/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.386] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00140261 [ 0.07 %]\n", - "Velocity : 0.00506782 [ 0.25 %]\n", - "Force : 0.671186 [ 33.42 %]\n", - "Coefs : 0.292318 [ 14.56 %]\n", - "Output : 0.0200633 [ 1.00 %]\n", - "Levels : 0.000843038 [ 0.04 %]\n", - "Report : 1.687e-06 [ 0.00 %]\n", - "Balance : 8.65e-07 [ 0.00 %]\n", - "Adjust : 1.01643 [ 50.61 %]\n", - "Total : 2.00818 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00174955 [ 0.14 %]\n", + "Velocity : 0.00771392 [ 0.61 %]\n", + "Force : 0.437708 [ 34.50 %]\n", + "Coefs : 0.162674 [ 12.82 %]\n", + "Output : 0.02003 [ 1.58 %]\n", + "Levels : 0.000464477 [ 0.04 %]\n", + "Report : 1.368e-06 [ 0.00 %]\n", + "Balance : 7.32e-07 [ 0.00 %]\n", + "Adjust : 0.637873 [ 50.27 %]\n", + "Total : 1.2688 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.6%\n", + "--- Coef/DT = 4.7%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 1.1206e-02 sec\n", - "--- Collate = 9.9972e-05 sec\n", + "--- Update = 8.9214e-03 sec\n", + "--- Collate = 8.9369e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.398779e-02 > 2.000000e-03 [42022]\n", + "--- Max DT=2.400621e-02 > 2.000000e-03 [42023]\n", "----------------------------------------------------------------------\n", - " Component | high: 42022/60000\n", + " Component | high: 42023/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.388] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00150277 [ 0.08 %]\n", - "Velocity : 0.00642513 [ 0.33 %]\n", - "Force : 0.627315 [ 31.79 %]\n", - "Coefs : 0.273144 [ 13.84 %]\n", - "Output : 0.017143 [ 0.87 %]\n", - "Levels : 0.000726462 [ 0.04 %]\n", - "Report : 1.204e-06 [ 0.00 %]\n", - "Balance : 8.71e-07 [ 0.00 %]\n", - "Adjust : 1.04591 [ 53.01 %]\n", - "Total : 1.973 [100.00 %]\n", + "Drift : 0.00177161 [ 0.13 %]\n", + "Velocity : 0.00866431 [ 0.65 %]\n", + "Force : 0.457769 [ 34.19 %]\n", + "Coefs : 0.171407 [ 12.80 %]\n", + "Output : 0.021369 [ 1.60 %]\n", + "Levels : 0.000508611 [ 0.04 %]\n", + "Report : 1.387e-06 [ 0.00 %]\n", + "Balance : 7.07e-07 [ 0.00 %]\n", + "Adjust : 0.676918 [ 50.55 %]\n", + "Total : 1.33902 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.0%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.0607e-02 sec\n", - "--- Collate = 8.4942e-05 sec\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.0208e-03 sec\n", + "--- Collate = 7.7634e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.399082e-02 > 2.000000e-03 [42009]\n", + "--- Max DT=2.400196e-02 > 2.000000e-03 [42012]\n", "----------------------------------------------------------------------\n", - " Component | high: 42009/60000\n", + " Component | high: 42012/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.39] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00148614 [ 0.07 %]\n", - "Velocity : 0.00649461 [ 0.30 %]\n", - "Force : 0.679241 [ 31.41 %]\n", - "Coefs : 0.368847 [ 17.06 %]\n", - "Output : 0.0158035 [ 0.73 %]\n", - "Levels : 0.000688333 [ 0.03 %]\n", - "Report : 1.278e-06 [ 0.00 %]\n", - "Balance : 7.35e-07 [ 0.00 %]\n", - "Adjust : 1.08904 [ 50.36 %]\n", - "Total : 2.16243 [100.00 %]\n", + "Drift : 0.00185156 [ 0.13 %]\n", + "Velocity : 0.00834661 [ 0.60 %]\n", + "Force : 0.483345 [ 34.91 %]\n", + "Coefs : 0.172727 [ 12.48 %]\n", + "Output : 0.0219705 [ 1.59 %]\n", + "Levels : 0.000545104 [ 0.04 %]\n", + "Report : 1.198e-06 [ 0.00 %]\n", + "Balance : 6.45e-07 [ 0.00 %]\n", + "Adjust : 0.695134 [ 50.21 %]\n", + "Total : 1.38455 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", + "--- Coef/DT = 5.4%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.2523e-02 sec\n", - "--- Collate = 8.1252e-05 sec\n", + "--- Update = 8.2875e-03 sec\n", + "--- Collate = 9.0526e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.399647e-02 > 2.000000e-03 [42013]\n", + "--- Min DT=3.613491e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.400232e-02 > 2.000000e-03 [42011]\n", "----------------------------------------------------------------------\n", - " Component | high: 42013/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 42011/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.392] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00180865 [ 0.09 %]\n", - "Velocity : 0.00759185 [ 0.39 %]\n", - "Force : 0.61554 [ 31.88 %]\n", - "Coefs : 0.281383 [ 14.57 %]\n", - "Output : 0.0179148 [ 0.93 %]\n", - "Levels : 0.000682879 [ 0.04 %]\n", - "Report : 1.361e-06 [ 0.00 %]\n", - "Balance : 7.5e-07 [ 0.00 %]\n", - "Adjust : 1.00533 [ 52.06 %]\n", - "Total : 1.93107 [100.00 %]\n", + "Drift : 0.00174787 [ 0.13 %]\n", + "Velocity : 0.00750565 [ 0.55 %]\n", + "Force : 0.470723 [ 34.44 %]\n", + "Coefs : 0.172553 [ 12.62 %]\n", + "Output : 0.0214353 [ 1.57 %]\n", + "Levels : 0.000509546 [ 0.04 %]\n", + "Report : 8.31e-07 [ 0.00 %]\n", + "Balance : 5.05e-07 [ 0.00 %]\n", + "Adjust : 0.691845 [ 50.61 %]\n", + "Total : 1.36698 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.4640e-02 sec\n", - "--- Collate = 8.4934e-05 sec\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.4204e-03 sec\n", + "--- Collate = 9.1404e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.401147e-02 > 2.000000e-03 [42011]\n", + "--- Max DT=2.400550e-02 > 2.000000e-03 [42014]\n", "----------------------------------------------------------------------\n", - " Component | high: 42011/60000\n", + " Component | high: 42014/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.394] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00194045 [ 0.08 %]\n", - "Velocity : 0.00918437 [ 0.36 %]\n", - "Force : 0.717387 [ 28.23 %]\n", - "Coefs : 0.491118 [ 19.33 %]\n", - "Output : 0.0298006 [ 1.17 %]\n", - "Levels : 0.000611969 [ 0.02 %]\n", - "Report : 1.597e-06 [ 0.00 %]\n", - "Balance : 1.053e-06 [ 0.00 %]\n", - "Adjust : 1.29011 [ 50.77 %]\n", - "Total : 2.54093 [100.00 %]\n", + "Drift : 0.00169726 [ 0.13 %]\n", + "Velocity : 0.00763936 [ 0.57 %]\n", + "Force : 0.461358 [ 34.34 %]\n", + "Coefs : 0.170205 [ 12.67 %]\n", + "Output : 0.0210617 [ 1.57 %]\n", + "Levels : 0.000506102 [ 0.04 %]\n", + "Report : 1.2e-06 [ 0.00 %]\n", + "Balance : 6.26e-07 [ 0.00 %]\n", + "Adjust : 0.680411 [ 50.64 %]\n", + "Total : 1.34352 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.9%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.1438e-02 sec\n", - "--- Collate = 1.0392e-04 sec\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.2510e-03 sec\n", + "--- Collate = 9.0253e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.402440e-02 > 2.000000e-03 [42007]\n", + "--- Min DT=2.465788e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.401029e-02 > 2.000000e-03 [42008]\n", "----------------------------------------------------------------------\n", - " Component | high: 42007/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 42008/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.396] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00248245 [ 0.09 %]\n", - "Velocity : 0.00692288 [ 0.26 %]\n", - "Force : 0.857094 [ 32.27 %]\n", - "Coefs : 0.422614 [ 15.91 %]\n", - "Output : 0.0237137 [ 0.89 %]\n", - "Levels : 0.000629219 [ 0.02 %]\n", - "Report : 1.464e-06 [ 0.00 %]\n", - "Balance : 1.14e-06 [ 0.00 %]\n", - "Adjust : 1.34142 [ 50.51 %]\n", - "Total : 2.65578 [100.00 %]\n", + "Drift : 0.00184502 [ 0.14 %]\n", + "Velocity : 0.00766142 [ 0.59 %]\n", + "Force : 0.437946 [ 33.98 %]\n", + "Coefs : 0.164094 [ 12.73 %]\n", + "Output : 0.025208 [ 1.96 %]\n", + "Levels : 0.000528255 [ 0.04 %]\n", + "Report : 1.256e-06 [ 0.00 %]\n", + "Balance : 7.29e-07 [ 0.00 %]\n", + "Adjust : 0.651009 [ 50.51 %]\n", + "Total : 1.28894 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.6%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 2.1027e-02 sec\n", - "--- Collate = 7.8316e-05 sec\n", + "--- Coef/DT = 4.8%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.6923e-03 sec\n", + "--- Collate = 7.7779e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.402992e-02 > 2.000000e-03 [42002]\n", + "--- Max DT=2.401232e-02 > 2.000000e-03 [42002]\n", "----------------------------------------------------------------------\n", " Component | high: 42002/60000\n", " Component | high: 0/20000\n", @@ -6843,191 +6695,209 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.398] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0014693 [ 0.06 %]\n", - "Velocity : 0.00625666 [ 0.26 %]\n", - "Force : 0.769659 [ 31.96 %]\n", - "Coefs : 0.366326 [ 15.21 %]\n", - "Output : 0.0194492 [ 0.81 %]\n", - "Levels : 0.000681894 [ 0.03 %]\n", - "Report : 1.734e-06 [ 0.00 %]\n", - "Balance : 1.055e-06 [ 0.00 %]\n", - "Adjust : 1.24352 [ 51.64 %]\n", - "Total : 2.40823 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.0137162 [ 0.85 %]\n", + "Velocity : 0.00741692 [ 0.46 %]\n", + "Force : 0.481637 [ 30.01 %]\n", + "Coefs : 0.37836 [ 23.58 %]\n", + "Output : 0.0224189 [ 1.40 %]\n", + "Levels : 0.000541836 [ 0.03 %]\n", + "Report : 1.302e-06 [ 0.00 %]\n", + "Balance : 7.72e-07 [ 0.00 %]\n", + "Adjust : 0.699914 [ 43.62 %]\n", + "Total : 1.60466 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.5%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.1014e-02 sec\n", - "--- Collate = 1.2034e-04 sec\n", + "--- Coef/DT = 4.8%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.2271e-03 sec\n", + "--- Collate = 8.3341e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.403119e-02 > 2.000000e-03 [42002]\n", + "--- Min DT=3.891381e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.401223e-02 > 2.000000e-03 [41994]\n", "----------------------------------------------------------------------\n", - " Component | high: 42002/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41994/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.4] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00176802 [ 0.07 %]\n", - "Velocity : 0.00727949 [ 0.30 %]\n", - "Force : 0.683775 [ 27.88 %]\n", - "Coefs : 0.347432 [ 14.16 %]\n", - "Output : 0.347166 [ 14.15 %]\n", - "Levels : 0.000757451 [ 0.03 %]\n", - "Report : 1.92e-06 [ 0.00 %]\n", - "Balance : 1.138e-06 [ 0.00 %]\n", - "Adjust : 1.06329 [ 43.35 %]\n", - "Total : 2.45292 [100.00 %]\n", + "Drift : 0.00144544 [ 0.09 %]\n", + "Velocity : 0.00800568 [ 0.51 %]\n", + "Force : 0.444022 [ 28.29 %]\n", + "Coefs : 0.174815 [ 11.14 %]\n", + "Output : 0.266218 [ 16.96 %]\n", + "Levels : 0.000641283 [ 0.04 %]\n", + "Report : 1.593e-06 [ 0.00 %]\n", + "Balance : 6.45e-07 [ 0.00 %]\n", + "Adjust : 0.673493 [ 42.92 %]\n", + "Total : 1.56928 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 7.0%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.0490e-02 sec\n", - "--- Collate = 5.2407e-04 sec\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7354e-03 sec\n", + "--- Collate = 8.2455e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.402676e-02 > 2.000000e-03 [41986]\n", + "--- Min DT=1.411281e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.401103e-02 > 2.000000e-03 [41979]\n", "----------------------------------------------------------------------\n", - " Component | high: 41986/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41979/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.402] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00169762 [ 0.07 %]\n", - "Velocity : 0.00795044 [ 0.35 %]\n", - "Force : 0.681594 [ 29.81 %]\n", - "Coefs : 0.435833 [ 19.06 %]\n", - "Output : 0.0243763 [ 1.07 %]\n", - "Levels : 0.000660203 [ 0.03 %]\n", - "Report : 1.452e-06 [ 0.00 %]\n", - "Balance : 7.14e-07 [ 0.00 %]\n", - "Adjust : 1.13333 [ 49.57 %]\n", - "Total : 2.28631 [100.00 %]\n", + "Drift : 0.00169361 [ 0.12 %]\n", + "Velocity : 0.00825028 [ 0.56 %]\n", + "Force : 0.483956 [ 32.93 %]\n", + "Coefs : 0.192028 [ 13.07 %]\n", + "Output : 0.0211284 [ 1.44 %]\n", + "Levels : 0.000502332 [ 0.03 %]\n", + "Report : 8.23e-07 [ 0.00 %]\n", + "Balance : 3.65e-07 [ 0.00 %]\n", + "Adjust : 0.761294 [ 51.81 %]\n", + "Total : 1.46951 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.8%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0877e-02 sec\n", - "--- Collate = 9.3424e-05 sec\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.3334e-03 sec\n", + "--- Collate = 7.0819e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.401951e-02 > 2.000000e-03 [41982]\n", + "--- Min DT=2.245493e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.401901e-02 > 2.000000e-03 [41975]\n", "----------------------------------------------------------------------\n", - " Component | high: 41982/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41975/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.404] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00203882 [ 0.10 %]\n", - "Velocity : 0.00754299 [ 0.37 %]\n", - "Force : 0.668207 [ 33.13 %]\n", - "Coefs : 0.325155 [ 16.12 %]\n", - "Output : 0.0217761 [ 1.08 %]\n", - "Levels : 0.000643187 [ 0.03 %]\n", - "Report : 1.337e-06 [ 0.00 %]\n", - "Balance : 8.83e-07 [ 0.00 %]\n", - "Adjust : 0.990426 [ 49.11 %]\n", - "Total : 2.01663 [100.00 %]\n", + "Drift : 0.00169028 [ 0.12 %]\n", + "Velocity : 0.00793751 [ 0.58 %]\n", + "Force : 0.450284 [ 33.07 %]\n", + "Coefs : 0.179756 [ 13.20 %]\n", + "Output : 0.02042 [ 1.50 %]\n", + "Levels : 0.000569955 [ 0.04 %]\n", + "Report : 1.089e-06 [ 0.00 %]\n", + "Balance : 5.44e-07 [ 0.00 %]\n", + "Adjust : 0.700437 [ 51.44 %]\n", + "Total : 1.36174 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.7411e-02 sec\n", - "--- Collate = 8.8103e-05 sec\n", + "--- Coef/DT = 6.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.7354e-03 sec\n", + "--- Collate = 7.7770e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.092489e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.402075e-02 > 2.000000e-03 [41987]\n", + "--- Min DT=2.716681e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.403101e-02 > 2.000000e-03 [41983]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41987/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41983/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.406] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00167198 [ 0.08 %]\n", - "Velocity : 0.00780393 [ 0.36 %]\n", - "Force : 0.697888 [ 31.78 %]\n", - "Coefs : 0.326119 [ 14.85 %]\n", - "Output : 0.0278683 [ 1.27 %]\n", - "Levels : 0.00264127 [ 0.12 %]\n", - "Report : 1.724e-06 [ 0.00 %]\n", - "Balance : 1.014e-06 [ 0.00 %]\n", - "Adjust : 1.13092 [ 51.50 %]\n", - "Total : 2.19576 [100.00 %]\n", + "Drift : 0.0018208 [ 0.13 %]\n", + "Velocity : 0.00814288 [ 0.60 %]\n", + "Force : 0.467239 [ 34.25 %]\n", + "Coefs : 0.173331 [ 12.70 %]\n", + "Output : 0.0210981 [ 1.55 %]\n", + "Levels : 0.000603837 [ 0.04 %]\n", + "Report : 1.041e-06 [ 0.00 %]\n", + "Balance : 5.6e-07 [ 0.00 %]\n", + "Adjust : 0.691426 [ 50.68 %]\n", + "Total : 1.36433 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.1600e-02 sec\n", - "--- Collate = 9.9205e-05 sec\n", + "--- Coef/DT = 6.1%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.2630e-03 sec\n", + "--- Collate = 6.0536e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.797712e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.402440e-02 > 2.000000e-03 [41967]\n", + "--- Min DT=2.092087e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.403568e-02 > 2.000000e-03 [41965]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 41967/60000\n", + " Component | high: 41965/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.408] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00197995 [ 0.09 %]\n", - "Velocity : 0.00909676 [ 0.42 %]\n", - "Force : 0.693192 [ 31.97 %]\n", - "Coefs : 0.348611 [ 16.08 %]\n", - "Output : 0.0271283 [ 1.25 %]\n", - "Levels : 0.000759278 [ 0.04 %]\n", - "Report : 1.548e-06 [ 0.00 %]\n", - "Balance : 1.022e-06 [ 0.00 %]\n", - "Adjust : 1.08646 [ 50.11 %]\n", - "Total : 2.16807 [100.00 %]\n", + "Drift : 0.00173772 [ 0.14 %]\n", + "Velocity : 0.00737147 [ 0.58 %]\n", + "Force : 0.436167 [ 34.22 %]\n", + "Coefs : 0.159012 [ 12.48 %]\n", + "Output : 0.020068 [ 1.57 %]\n", + "Levels : 0.000466666 [ 0.04 %]\n", + "Report : 9.99e-07 [ 0.00 %]\n", + "Balance : 5.21e-07 [ 0.00 %]\n", + "Adjust : 0.648974 [ 50.92 %]\n", + "Total : 1.27443 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.3%\n", + "--- Coef/DT = 5.4%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.2354e-02 sec\n", - "--- Collate = 8.3229e-05 sec\n", + "--- Update = 7.7188e-03 sec\n", + "--- Collate = 6.7092e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.402930e-02 > 2.000000e-03 [41966]\n", + "--- Min DT=3.698467e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.403755e-02 > 2.000000e-03 [41966]\n", "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", " Component | high: 41966/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -7035,132 +6905,135 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.41] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00177265 [ 0.06 %]\n", - "Velocity : 0.00778065 [ 0.27 %]\n", - "Force : 0.816378 [ 27.86 %]\n", - "Coefs : 0.590907 [ 20.17 %]\n", - "Output : 0.0181982 [ 0.62 %]\n", - "Levels : 0.000861319 [ 0.03 %]\n", - "Report : 1.632e-06 [ 0.00 %]\n", - "Balance : 1.059e-06 [ 0.00 %]\n", - "Adjust : 1.49322 [ 50.96 %]\n", - "Total : 2.92998 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00179124 [ 0.13 %]\n", + "Velocity : 0.00809662 [ 0.60 %]\n", + "Force : 0.461704 [ 34.34 %]\n", + "Coefs : 0.169985 [ 12.64 %]\n", + "Output : 0.0217479 [ 1.62 %]\n", + "Levels : 0.00051611 [ 0.04 %]\n", + "Report : 1.154e-06 [ 0.00 %]\n", + "Balance : 5.28e-07 [ 0.00 %]\n", + "Adjust : 0.68002 [ 50.58 %]\n", + "Total : 1.34453 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.2%\n", + "--- Coef/DT = 5.2%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0430e-02 sec\n", - "--- Collate = 8.6327e-05 sec\n", + "--- Update = 7.4890e-03 sec\n", + "--- Collate = 5.9988e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.892067e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.402970e-02 > 2.000000e-03 [41968]\n", + "--- Max DT=2.403596e-02 > 2.000000e-03 [41970]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41968/60000\n", - " Component | high: 0/20000\n", + " Component | high: 41969/60000\n", + " Component | high: 1/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.412] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00178942 [ 0.07 %]\n", - "Velocity : 0.00995724 [ 0.40 %]\n", - "Force : 0.69584 [ 28.01 %]\n", - "Coefs : 0.468716 [ 18.87 %]\n", - "Output : 0.020497 [ 0.83 %]\n", - "Levels : 0.0006741 [ 0.03 %]\n", - "Report : 1.229e-06 [ 0.00 %]\n", - "Balance : 7.7e-07 [ 0.00 %]\n", - "Adjust : 1.28607 [ 51.77 %]\n", - "Total : 2.48436 [100.00 %]\n", + "Drift : 0.00183111 [ 0.15 %]\n", + "Velocity : 0.0073365 [ 0.58 %]\n", + "Force : 0.433412 [ 34.33 %]\n", + "Coefs : 0.158981 [ 12.59 %]\n", + "Output : 0.0193293 [ 1.53 %]\n", + "Levels : 0.00873287 [ 0.69 %]\n", + "Report : 1.866e-06 [ 0.00 %]\n", + "Balance : 6.12e-07 [ 0.00 %]\n", + "Adjust : 0.632092 [ 50.07 %]\n", + "Total : 1.26233 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.9452e-02 sec\n", - "--- Collate = 7.0571e-05 sec\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.3332e-03 sec\n", + "--- Collate = 7.4140e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.402347e-02 > 2.000000e-03 [41958]\n", + "--- Min DT=3.757410e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.402999e-02 > 2.000000e-03 [41955]\n", "----------------------------------------------------------------------\n", - " Component | high: 41958/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41955/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.414] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00207756 [ 0.08 %]\n", - "Velocity : 0.00914257 [ 0.35 %]\n", - "Force : 0.730845 [ 27.96 %]\n", - "Coefs : 0.508295 [ 19.45 %]\n", - "Output : 0.0242236 [ 0.93 %]\n", - "Levels : 0.000729648 [ 0.03 %]\n", - "Report : 1.36e-06 [ 0.00 %]\n", - "Balance : 7.51e-07 [ 0.00 %]\n", - "Adjust : 1.33784 [ 51.18 %]\n", - "Total : 2.61392 [100.00 %]\n", + "Drift : 0.00177996 [ 0.13 %]\n", + "Velocity : 0.00765112 [ 0.55 %]\n", + "Force : 0.483254 [ 35.05 %]\n", + "Coefs : 0.175181 [ 12.71 %]\n", + "Output : 0.0209403 [ 1.52 %]\n", + "Levels : 0.00051704 [ 0.04 %]\n", + "Report : 1.023e-06 [ 0.00 %]\n", + "Balance : 5.73e-07 [ 0.00 %]\n", + "Adjust : 0.688834 [ 49.96 %]\n", + "Total : 1.37882 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.3%\n", - "--- Adj/Tot = 1.4%\n", - "--- Update = 1.0658e-02 sec\n", - "--- Collate = 8.5580e-05 sec\n", + "--- Coef/DT = 6.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.1732e-03 sec\n", + "--- Collate = 6.4282e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.723743e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.402016e-02 > 2.000000e-03 [41973]\n", + "--- Max DT=2.402198e-02 > 2.000000e-03 [41975]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41973/60000\n", + " Component | high: 41975/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.416] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0019008 [ 0.09 %]\n", - "Velocity : 0.00842188 [ 0.42 %]\n", - "Force : 0.64584 [ 31.94 %]\n", - "Coefs : 0.314454 [ 15.55 %]\n", - "Output : 0.0233374 [ 1.15 %]\n", - "Levels : 0.000715077 [ 0.04 %]\n", - "Report : 1.745e-06 [ 0.00 %]\n", - "Balance : 6.51e-07 [ 0.00 %]\n", - "Adjust : 1.02679 [ 50.78 %]\n", - "Total : 2.02222 [100.00 %]\n", + "Drift : 0.00175256 [ 0.13 %]\n", + "Velocity : 0.00766084 [ 0.58 %]\n", + "Force : 0.459822 [ 34.93 %]\n", + "Coefs : 0.167218 [ 12.70 %]\n", + "Output : 0.0199038 [ 1.51 %]\n", + "Levels : 0.000508883 [ 0.04 %]\n", + "Report : 1.185e-06 [ 0.00 %]\n", + "Balance : 5.85e-07 [ 0.00 %]\n", + "Adjust : 0.65891 [ 50.05 %]\n", + "Total : 1.31638 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.8%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0725e-02 sec\n", - "--- Collate = 8.0691e-05 sec\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.4279e-03 sec\n", + "--- Collate = 5.3665e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.380119e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.401946e-02 > 2.000000e-03 [41951]\n", + "--- Min DT=2.006971e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.401852e-02 > 2.000000e-03 [41951]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 2/20000\n", + " Component | low: 1/20000\n", " Component | high: 41951/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -7168,578 +7041,608 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.418] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00132965 [ 0.07 %]\n", - "Velocity : 0.00553844 [ 0.28 %]\n", - "Force : 0.683522 [ 34.02 %]\n", - "Coefs : 0.304368 [ 15.15 %]\n", - "Output : 0.0188809 [ 0.94 %]\n", - "Levels : 0.000623185 [ 0.03 %]\n", - "Report : 1.563e-06 [ 0.00 %]\n", - "Balance : 9.59e-07 [ 0.00 %]\n", - "Adjust : 0.993935 [ 49.47 %]\n", - "Total : 2.00905 [100.00 %]\n", + "Drift : 0.00183067 [ 0.14 %]\n", + "Velocity : 0.00789567 [ 0.61 %]\n", + "Force : 0.443403 [ 34.03 %]\n", + "Coefs : 0.167182 [ 12.83 %]\n", + "Output : 0.0201512 [ 1.55 %]\n", + "Levels : 0.000503171 [ 0.04 %]\n", + "Report : 1.254e-06 [ 0.00 %]\n", + "Balance : 6.03e-07 [ 0.00 %]\n", + "Adjust : 0.661196 [ 50.75 %]\n", + "Total : 1.30282 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.3%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.8907e-02 sec\n", - "--- Collate = 1.9234e-04 sec\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.4779e-03 sec\n", + "--- Collate = 6.7686e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.401654e-02 > 2.000000e-03 [41957]\n", + "--- Max DT=2.402092e-02 > 2.000000e-03 [41952]\n", "----------------------------------------------------------------------\n", - " Component | high: 41957/60000\n", + " Component | high: 41952/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.42] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00150101 [ 0.07 %]\n", - "Velocity : 0.00606236 [ 0.28 %]\n", - "Force : 0.645449 [ 29.56 %]\n", - "Coefs : 0.293219 [ 13.43 %]\n", - "Output : 0.240449 [ 11.01 %]\n", - "Levels : 0.000671723 [ 0.03 %]\n", - "Report : 1.801e-06 [ 0.00 %]\n", - "Balance : 8.54e-07 [ 0.00 %]\n", - "Adjust : 0.995123 [ 45.58 %]\n", - "Total : 2.18333 [100.00 %]\n", + "Drift : 0.00186341 [ 0.13 %]\n", + "Velocity : 0.00795327 [ 0.56 %]\n", + "Force : 0.442636 [ 31.18 %]\n", + "Coefs : 0.163898 [ 11.55 %]\n", + "Output : 0.129141 [ 9.10 %]\n", + "Levels : 0.000578825 [ 0.04 %]\n", + "Report : 7.99e-07 [ 0.00 %]\n", + "Balance : 5.29e-07 [ 0.00 %]\n", + "Adjust : 0.672898 [ 47.40 %]\n", + "Total : 1.41964 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.4%\n", + "--- Coef/DT = 4.9%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 1.1476e-02 sec\n", - "--- Collate = 8.7615e-05 sec\n", + "--- Update = 8.3032e-03 sec\n", + "--- Collate = 8.4045e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.670463e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.400876e-02 > 2.000000e-03 [41966]\n", + "--- Max DT=2.402085e-02 > 2.000000e-03 [41968]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41966/60000\n", + " Component | high: 41968/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.422] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0018313 [ 0.08 %]\n", - "Velocity : 0.0089033 [ 0.40 %]\n", - "Force : 0.733413 [ 32.95 %]\n", - "Coefs : 0.34121 [ 15.33 %]\n", - "Output : 0.0216216 [ 0.97 %]\n", - "Levels : 0.000705918 [ 0.03 %]\n", - "Report : 1.341e-06 [ 0.00 %]\n", - "Balance : 9.75e-07 [ 0.00 %]\n", - "Adjust : 1.11735 [ 50.20 %]\n", - "Total : 2.22593 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.0019303 [ 0.14 %]\n", + "Velocity : 0.00777115 [ 0.55 %]\n", + "Force : 0.463777 [ 32.58 %]\n", + "Coefs : 0.185326 [ 13.02 %]\n", + "Output : 0.0212203 [ 1.49 %]\n", + "Levels : 0.000621638 [ 0.04 %]\n", + "Report : 1.281e-06 [ 0.00 %]\n", + "Balance : 5.99e-07 [ 0.00 %]\n", + "Adjust : 0.742131 [ 52.14 %]\n", + "Total : 1.42346 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.5806e-02 sec\n", - "--- Collate = 9.0078e-05 sec\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.6507e-03 sec\n", + "--- Collate = 9.0087e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.399818e-02 > 2.000000e-03 [41950]\n", + "--- Min DT=9.889321e-07 < 7.812500e-06 [2]\n", + "--- Max DT=2.401168e-02 > 2.000000e-03 [41952]\n", "----------------------------------------------------------------------\n", - " Component | high: 41950/60000\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41952/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.424] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00135296 [ 0.06 %]\n", - "Velocity : 0.00673848 [ 0.29 %]\n", - "Force : 0.675852 [ 28.99 %]\n", - "Coefs : 0.463025 [ 19.86 %]\n", - "Output : 0.0188604 [ 0.81 %]\n", - "Levels : 0.000580822 [ 0.02 %]\n", - "Report : 1.282e-06 [ 0.00 %]\n", - "Balance : 7.48e-07 [ 0.00 %]\n", - "Adjust : 1.16423 [ 49.94 %]\n", - "Total : 2.33147 [100.00 %]\n", + "Drift : 0.00181373 [ 0.12 %]\n", + "Velocity : 0.00827622 [ 0.56 %]\n", + "Force : 0.515907 [ 34.87 %]\n", + "Coefs : 0.186648 [ 12.62 %]\n", + "Output : 0.0233441 [ 1.58 %]\n", + "Levels : 0.000544097 [ 0.04 %]\n", + "Report : 7.82e-07 [ 0.00 %]\n", + "Balance : 4.43e-07 [ 0.00 %]\n", + "Adjust : 0.742263 [ 50.17 %]\n", + "Total : 1.47948 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 15.7%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.1218e-02 sec\n", - "--- Collate = 1.0559e-04 sec\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.5154e-03 sec\n", + "--- Collate = 6.9936e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.399408e-02 > 2.000000e-03 [41972]\n", + "--- Max DT=2.400485e-02 > 2.000000e-03 [41971]\n", "----------------------------------------------------------------------\n", - " Component | high: 41972/60000\n", + " Component | high: 41971/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.426] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00175075 [ 0.06 %]\n", - "Velocity : 0.00837605 [ 0.28 %]\n", - "Force : 0.78036 [ 26.53 %]\n", - "Coefs : 0.518927 [ 17.64 %]\n", - "Output : 0.025106 [ 0.85 %]\n", - "Levels : 0.000796633 [ 0.03 %]\n", - "Report : 1.196e-06 [ 0.00 %]\n", - "Balance : 8.04e-07 [ 0.00 %]\n", - "Adjust : 1.60515 [ 54.57 %]\n", - "Total : 2.94131 [100.00 %]\n", + "Drift : 0.0019654 [ 0.12 %]\n", + "Velocity : 0.00844037 [ 0.53 %]\n", + "Force : 0.54785 [ 34.37 %]\n", + "Coefs : 0.207495 [ 13.02 %]\n", + "Output : 0.0226557 [ 1.42 %]\n", + "Levels : 0.000597448 [ 0.04 %]\n", + "Report : 1.068e-06 [ 0.00 %]\n", + "Balance : 4.8e-07 [ 0.00 %]\n", + "Adjust : 0.804267 [ 50.46 %]\n", + "Total : 1.59397 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.5%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.1370e-03 sec\n", - "--- Collate = 9.5380e-05 sec\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.3486e-03 sec\n", + "--- Collate = 6.9821e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.399219e-02 > 2.000000e-03 [41982]\n", + "--- Min DT=3.115138e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.400059e-02 > 2.000000e-03 [41986]\n", "----------------------------------------------------------------------\n", - " Component | high: 41982/60000\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41986/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.428] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00172944 [ 0.06 %]\n", - "Velocity : 0.00926771 [ 0.34 %]\n", - "Force : 0.772818 [ 28.48 %]\n", - "Coefs : 0.540914 [ 19.94 %]\n", - "Output : 0.0274807 [ 1.01 %]\n", - "Levels : 0.000740037 [ 0.03 %]\n", - "Report : 1.157e-06 [ 0.00 %]\n", - "Balance : 8.64e-07 [ 0.00 %]\n", - "Adjust : 1.35944 [ 50.10 %]\n", - "Total : 2.71321 [100.00 %]\n", + "Drift : 0.00185003 [ 0.12 %]\n", + "Velocity : 0.00872968 [ 0.56 %]\n", + "Force : 0.538643 [ 34.63 %]\n", + "Coefs : 0.20819 [ 13.38 %]\n", + "Output : 0.0230861 [ 1.48 %]\n", + "Levels : 0.000603044 [ 0.04 %]\n", + "Report : 1.368e-06 [ 0.00 %]\n", + "Balance : 6.15e-07 [ 0.00 %]\n", + "Adjust : 0.773553 [ 49.73 %]\n", + "Total : 1.55544 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.2%\n", + "--- Coef/DT = 5.5%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.4397e-03 sec\n", - "--- Collate = 7.2436e-05 sec\n", + "--- Update = 8.6333e-03 sec\n", + "--- Collate = 9.7513e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.399584e-02 > 2.000000e-03 [41992]\n", + "--- Max DT=2.399623e-02 > 2.000000e-03 [41994]\n", "----------------------------------------------------------------------\n", - " Component | high: 41992/60000\n", + " Component | high: 41994/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.43] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00202606 [ 0.12 %]\n", - "Velocity : 0.0107292 [ 0.64 %]\n", - "Force : 0.561197 [ 33.53 %]\n", - "Coefs : 0.223537 [ 13.36 %]\n", - "Output : 0.0277035 [ 1.66 %]\n", - "Levels : 0.000480363 [ 0.03 %]\n", - "Report : 1.386e-06 [ 0.00 %]\n", - "Balance : 8.53e-07 [ 0.00 %]\n", - "Adjust : 0.847285 [ 50.62 %]\n", - "Total : 1.67373 [100.00 %]\n", + "Drift : 0.00183374 [ 0.13 %]\n", + "Velocity : 0.00846957 [ 0.59 %]\n", + "Force : 0.493436 [ 34.53 %]\n", + "Coefs : 0.17988 [ 12.59 %]\n", + "Output : 0.022764 [ 1.59 %]\n", + "Levels : 0.000687456 [ 0.05 %]\n", + "Report : 1.19e-06 [ 0.00 %]\n", + "Balance : 6.77e-07 [ 0.00 %]\n", + "Adjust : 0.721132 [ 50.47 %]\n", + "Total : 1.42889 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 5.0%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 9.5276e-03 sec\n", - "--- Collate = 9.7150e-05 sec\n", + "--- Update = 8.2842e-03 sec\n", + "--- Collate = 8.6640e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.703449e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.399692e-02 > 2.000000e-03 [41980]\n", + "--- Min DT=1.854707e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.399753e-02 > 2.000000e-03 [41979]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 41980/60000\n", + " Component | high: 41979/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.432] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00198689 [ 0.12 %]\n", - "Velocity : 0.00991811 [ 0.62 %]\n", - "Force : 0.547791 [ 34.16 %]\n", - "Coefs : 0.208906 [ 13.03 %]\n", - "Output : 0.0271275 [ 1.69 %]\n", - "Levels : 0.000710797 [ 0.04 %]\n", - "Report : 8.23e-07 [ 0.00 %]\n", - "Balance : 5.99e-07 [ 0.00 %]\n", - "Adjust : 0.806175 [ 50.28 %]\n", - "Total : 1.60349 [100.00 %]\n", + "Drift : 0.00185193 [ 0.13 %]\n", + "Velocity : 0.00820009 [ 0.59 %]\n", + "Force : 0.48644 [ 35.08 %]\n", + "Coefs : 0.174136 [ 12.56 %]\n", + "Output : 0.0213936 [ 1.54 %]\n", + "Levels : 0.000521122 [ 0.04 %]\n", + "Report : 1.175e-06 [ 0.00 %]\n", + "Balance : 7.26e-07 [ 0.00 %]\n", + "Adjust : 0.693395 [ 50.01 %]\n", + "Total : 1.38659 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.0%\n", + "--- Coef/DT = 4.7%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0021e-02 sec\n", - "--- Collate = 1.6669e-04 sec\n", + "--- Update = 8.5117e-03 sec\n", + "--- Collate = 7.2398e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.879546e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.399853e-02 > 2.000000e-03 [41969]\n", + "--- Min DT=3.090253e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.399899e-02 > 2.000000e-03 [41970]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41969/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41970/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.434] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0017368 [ 0.11 %]\n", - "Velocity : 0.00700079 [ 0.45 %]\n", - "Force : 0.533055 [ 34.56 %]\n", - "Coefs : 0.209386 [ 13.58 %]\n", - "Output : 0.0191707 [ 1.24 %]\n", - "Levels : 0.000359676 [ 0.02 %]\n", - "Report : 1.369e-06 [ 0.00 %]\n", - "Balance : 8.32e-07 [ 0.00 %]\n", - "Adjust : 0.770763 [ 49.98 %]\n", - "Total : 1.54219 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00176775 [ 0.15 %]\n", + "Velocity : 0.00733821 [ 0.62 %]\n", + "Force : 0.39799 [ 33.38 %]\n", + "Coefs : 0.151913 [ 12.74 %]\n", + "Output : 0.0191422 [ 1.61 %]\n", + "Levels : 0.000571959 [ 0.05 %]\n", + "Report : 1.09e-06 [ 0.00 %]\n", + "Balance : 6.88e-07 [ 0.00 %]\n", + "Adjust : 0.612975 [ 51.41 %]\n", + "Total : 1.19232 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.6%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.6142e-03 sec\n", - "--- Collate = 9.5302e-05 sec\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.2045e-03 sec\n", + "--- Collate = 6.7969e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.399894e-02 > 2.000000e-03 [41959]\n", + "--- Min DT=2.585497e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.400229e-02 > 2.000000e-03 [41969]\n", "----------------------------------------------------------------------\n", - " Component | high: 41959/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41969/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.436] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00115813 [ 0.08 %]\n", - "Velocity : 0.004667 [ 0.31 %]\n", - "Force : 0.528602 [ 34.94 %]\n", - "Coefs : 0.210329 [ 13.90 %]\n", - "Output : 0.0133182 [ 0.88 %]\n", - "Levels : 0.000329284 [ 0.02 %]\n", - "Report : 9.48e-07 [ 0.00 %]\n", - "Balance : 5.01e-07 [ 0.00 %]\n", - "Adjust : 0.753945 [ 49.83 %]\n", - "Total : 1.51299 [100.00 %]\n", + "Drift : 0.00189928 [ 0.15 %]\n", + "Velocity : 0.00730775 [ 0.57 %]\n", + "Force : 0.434804 [ 34.13 %]\n", + "Coefs : 0.161209 [ 12.65 %]\n", + "Output : 0.0198698 [ 1.56 %]\n", + "Levels : 0.000476131 [ 0.04 %]\n", + "Report : 1.378e-06 [ 0.00 %]\n", + "Balance : 7.62e-07 [ 0.00 %]\n", + "Adjust : 0.647772 [ 50.85 %]\n", + "Total : 1.27399 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.8%\n", + "--- Coef/DT = 4.9%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.4105e-03 sec\n", - "--- Collate = 1.1257e-04 sec\n", + "--- Update = 8.4029e-03 sec\n", + "--- Collate = 8.1394e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.400200e-02 > 2.000000e-03 [41955]\n", + "--- Min DT=1.723248e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.400511e-02 > 2.000000e-03 [41954]\n", "----------------------------------------------------------------------\n", - " Component | high: 41955/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41954/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.438] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000989849 [ 0.07 %]\n", - "Velocity : 0.00399991 [ 0.27 %]\n", - "Force : 0.531906 [ 35.32 %]\n", - "Coefs : 0.206461 [ 13.71 %]\n", - "Output : 0.0145246 [ 0.96 %]\n", - "Levels : 0.00060535 [ 0.04 %]\n", - "Report : 1.359e-06 [ 0.00 %]\n", - "Balance : 9.12e-07 [ 0.00 %]\n", - "Adjust : 0.746938 [ 49.59 %]\n", - "Total : 1.50608 [100.00 %]\n", + "Drift : 0.00182854 [ 0.14 %]\n", + "Velocity : 0.00729808 [ 0.57 %]\n", + "Force : 0.432275 [ 33.77 %]\n", + "Coefs : 0.163263 [ 12.75 %]\n", + "Output : 0.0202414 [ 1.58 %]\n", + "Levels : 0.000553729 [ 0.04 %]\n", + "Report : 9.95e-07 [ 0.00 %]\n", + "Balance : 5.34e-07 [ 0.00 %]\n", + "Adjust : 0.6541 [ 51.09 %]\n", + "Total : 1.28021 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.7%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 9.8521e-03 sec\n", - "--- Collate = 7.8545e-05 sec\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.6136e-03 sec\n", + "--- Collate = 8.4842e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.647024e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.400840e-02 > 2.000000e-03 [41934]\n", + "--- Min DT=3.450652e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.400896e-02 > 2.000000e-03 [41939]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 41934/60000\n", + " Component | high: 41939/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.44] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00119765 [ 0.07 %]\n", - "Velocity : 0.00499829 [ 0.30 %]\n", - "Force : 0.533414 [ 31.56 %]\n", - "Coefs : 0.215112 [ 12.73 %]\n", - "Output : 0.156452 [ 9.26 %]\n", - "Levels : 0.000662827 [ 0.04 %]\n", - "Report : 1.289e-06 [ 0.00 %]\n", - "Balance : 8.98e-07 [ 0.00 %]\n", - "Adjust : 0.777603 [ 46.01 %]\n", - "Total : 1.69013 [100.00 %]\n", + "Drift : 0.00174808 [ 0.12 %]\n", + "Velocity : 0.0076028 [ 0.52 %]\n", + "Force : 0.461949 [ 31.76 %]\n", + "Coefs : 0.167032 [ 11.48 %]\n", + "Output : 0.142692 [ 9.81 %]\n", + "Levels : 0.000600775 [ 0.04 %]\n", + "Report : 7.76e-07 [ 0.00 %]\n", + "Balance : 4.47e-07 [ 0.00 %]\n", + "Adjust : 0.672201 [ 46.22 %]\n", + "Total : 1.45446 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.8%\n", + "--- Coef/DT = 5.9%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.4629e-03 sec\n", - "--- Collate = 7.2756e-05 sec\n", + "--- Update = 8.2132e-03 sec\n", + "--- Collate = 8.4994e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.401489e-02 > 2.000000e-03 [41925]\n", + "--- Min DT=2.965996e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.401859e-02 > 2.000000e-03 [41929]\n", "----------------------------------------------------------------------\n", - " Component | high: 41924/60000\n", - " Component | high: 1/20000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41929/60000\n", + " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.442] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0015606 [ 0.08 %]\n", - "Velocity : 0.00626105 [ 0.34 %]\n", - "Force : 0.589372 [ 31.99 %]\n", - "Coefs : 0.247788 [ 13.45 %]\n", - "Output : 0.0172628 [ 0.94 %]\n", - "Levels : 0.000457804 [ 0.02 %]\n", - "Report : 9.45e-07 [ 0.00 %]\n", - "Balance : 7.21e-07 [ 0.00 %]\n", - "Adjust : 0.978811 [ 53.13 %]\n", - "Total : 1.84226 [100.00 %]\n", + "Drift : 0.00184127 [ 0.14 %]\n", + "Velocity : 0.00772744 [ 0.58 %]\n", + "Force : 0.456466 [ 34.06 %]\n", + "Coefs : 0.167619 [ 12.51 %]\n", + "Output : 0.0213748 [ 1.59 %]\n", + "Levels : 0.000462892 [ 0.03 %]\n", + "Report : 1.106e-06 [ 0.00 %]\n", + "Balance : 6.45e-07 [ 0.00 %]\n", + "Adjust : 0.683955 [ 51.04 %]\n", + "Total : 1.34012 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.4%\n", + "--- Coef/DT = 5.3%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 1.0051e-02 sec\n", - "--- Collate = 7.0094e-05 sec\n", + "--- Update = 8.0154e-03 sec\n", + "--- Collate = 8.9764e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.402120e-02 > 2.000000e-03 [41917]\n", + "--- Min DT=2.138193e-06 < 7.812500e-06 [4]\n", + "--- Max DT=2.402567e-02 > 2.000000e-03 [41919]\n", "----------------------------------------------------------------------\n", - " Component | high: 41917/60000\n", + " Component | low: 0/60000\n", + " Component | low: 4/20000\n", + " Component | high: 41919/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.444] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00125682 [ 0.08 %]\n", - "Velocity : 0.00557631 [ 0.37 %]\n", - "Force : 0.538597 [ 35.43 %]\n", - "Coefs : 0.209128 [ 13.76 %]\n", - "Output : 0.0188733 [ 1.24 %]\n", - "Levels : 0.000585778 [ 0.04 %]\n", - "Report : 1.396e-06 [ 0.00 %]\n", - "Balance : 6.58e-07 [ 0.00 %]\n", - "Adjust : 0.745426 [ 49.04 %]\n", - "Total : 1.52018 [100.00 %]\n", + "Drift : 0.00190013 [ 0.14 %]\n", + "Velocity : 0.00810004 [ 0.59 %]\n", + "Force : 0.478354 [ 34.78 %]\n", + "Coefs : 0.17353 [ 12.62 %]\n", + "Output : 0.0213495 [ 1.55 %]\n", + "Levels : 0.000588548 [ 0.04 %]\n", + "Report : 7.39e-07 [ 0.00 %]\n", + "Balance : 5.04e-07 [ 0.00 %]\n", + "Adjust : 0.690841 [ 50.23 %]\n", + "Total : 1.37533 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.8%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.0479e-03 sec\n", - "--- Collate = 9.6592e-05 sec\n", + "--- Coef/DT = 4.1%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.5054e-03 sec\n", + "--- Collate = 6.2036e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.568844e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.402085e-02 > 2.000000e-03 [41900]\n", + "--- Min DT=2.102681e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.402431e-02 > 2.000000e-03 [41904]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 41900/60000\n", + " Component | high: 41904/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.446] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00121754 [ 0.09 %]\n", - "Velocity : 0.00524636 [ 0.37 %]\n", - "Force : 0.499344 [ 35.06 %]\n", - "Coefs : 0.187877 [ 13.19 %]\n", - "Output : 0.0177184 [ 1.24 %]\n", - "Levels : 0.000494251 [ 0.03 %]\n", - "Report : 1.502e-06 [ 0.00 %]\n", - "Balance : 7.51e-07 [ 0.00 %]\n", - "Adjust : 0.711583 [ 49.96 %]\n", - "Total : 1.4242 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00181788 [ 0.14 %]\n", + "Velocity : 0.00744024 [ 0.57 %]\n", + "Force : 0.436979 [ 33.49 %]\n", + "Coefs : 0.169108 [ 12.96 %]\n", + "Output : 0.0203152 [ 1.56 %]\n", + "Levels : 0.00063738 [ 0.05 %]\n", + "Report : 7.92e-07 [ 0.00 %]\n", + "Balance : 5.11e-07 [ 0.00 %]\n", + "Adjust : 0.668013 [ 51.19 %]\n", + "Total : 1.30498 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.9%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.6144e-03 sec\n", - "--- Collate = 9.4208e-05 sec\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 8.4066e-03 sec\n", + "--- Collate = 8.8395e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.225674e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.402118e-02 > 2.000000e-03 [41889]\n", + "--- Max DT=2.401949e-02 > 2.000000e-03 [41884]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41889/60000\n", + " Component | high: 41884/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.448] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00126555 [ 0.09 %]\n", - "Velocity : 0.00544383 [ 0.39 %]\n", - "Force : 0.489757 [ 34.66 %]\n", - "Coefs : 0.185685 [ 13.14 %]\n", - "Output : 0.0175911 [ 1.24 %]\n", - "Levels : 0.000430066 [ 0.03 %]\n", - "Report : 1.633e-06 [ 0.00 %]\n", - "Balance : 9.95e-07 [ 0.00 %]\n", - "Adjust : 0.712227 [ 50.40 %]\n", - "Total : 1.41314 [100.00 %]\n", + "Drift : 0.00161117 [ 0.10 %]\n", + "Velocity : 0.00728711 [ 0.44 %]\n", + "Force : 0.601103 [ 36.68 %]\n", + "Coefs : 0.22459 [ 13.71 %]\n", + "Output : 0.0199393 [ 1.22 %]\n", + "Levels : 0.000558956 [ 0.03 %]\n", + "Report : 1.198e-06 [ 0.00 %]\n", + "Balance : 7.61e-07 [ 0.00 %]\n", + "Adjust : 0.782924 [ 47.78 %]\n", + "Total : 1.63864 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.6%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.3023e-03 sec\n", - "--- Collate = 8.8619e-05 sec\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.5273e-03 sec\n", + "--- Collate = 5.3196e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.612235e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.401853e-02 > 2.000000e-03 [41879]\n", + "--- Max DT=2.401143e-02 > 2.000000e-03 [41875]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41879/60000\n", + " Component | high: 41875/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.45] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00119213 [ 0.08 %]\n", - "Velocity : 0.00497685 [ 0.35 %]\n", - "Force : 0.495956 [ 34.99 %]\n", - "Coefs : 0.190752 [ 13.46 %]\n", - "Output : 0.0160456 [ 1.13 %]\n", - "Levels : 0.000413919 [ 0.03 %]\n", - "Report : 1.314e-06 [ 0.00 %]\n", - "Balance : 6.22e-07 [ 0.00 %]\n", - "Adjust : 0.707412 [ 49.91 %]\n", - "Total : 1.41747 [100.00 %]\n", + "Drift : 0.00185451 [ 0.13 %]\n", + "Velocity : 0.00783708 [ 0.53 %]\n", + "Force : 0.509158 [ 34.48 %]\n", + "Coefs : 0.178997 [ 12.12 %]\n", + "Output : 0.0292692 [ 1.98 %]\n", + "Levels : 0.00053 [ 0.04 %]\n", + "Report : 1.756e-06 [ 0.00 %]\n", + "Balance : 6.14e-07 [ 0.00 %]\n", + "Adjust : 0.748298 [ 50.68 %]\n", + "Total : 1.4766 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.5%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.1015e-03 sec\n", - "--- Collate = 9.8887e-05 sec\n", + "--- Coef/DT = 4.4%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.2047e-03 sec\n", + "--- Collate = 7.1102e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.401447e-02 > 2.000000e-03 [41886]\n", + "--- Max DT=2.400624e-02 > 2.000000e-03 [41876]\n", "----------------------------------------------------------------------\n", - " Component | high: 41886/60000\n", + " Component | high: 41876/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.452] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00111644 [ 0.08 %]\n", - "Velocity : 0.00572543 [ 0.41 %]\n", - "Force : 0.497635 [ 35.27 %]\n", - "Coefs : 0.188722 [ 13.38 %]\n", - "Output : 0.0165543 [ 1.17 %]\n", - "Levels : 0.000500276 [ 0.04 %]\n", - "Report : 1.031e-06 [ 0.00 %]\n", - "Balance : 5.51e-07 [ 0.00 %]\n", - "Adjust : 0.7 [ 49.61 %]\n", - "Total : 1.41096 [100.00 %]\n", + "Drift : 0.00164587 [ 0.12 %]\n", + "Velocity : 0.00805335 [ 0.58 %]\n", + "Force : 0.448576 [ 32.25 %]\n", + "Coefs : 0.181572 [ 13.05 %]\n", + "Output : 0.0203267 [ 1.46 %]\n", + "Levels : 0.000477359 [ 0.03 %]\n", + "Report : 8.37e-07 [ 0.00 %]\n", + "Balance : 4.27e-07 [ 0.00 %]\n", + "Adjust : 0.729751 [ 52.46 %]\n", + "Total : 1.391 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.7%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.1982e-03 sec\n", - "--- Collate = 1.0687e-04 sec\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.0411e-03 sec\n", + "--- Collate = 6.7336e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.401013e-02 > 2.000000e-03 [41869]\n", + "--- Min DT=3.723311e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.400126e-02 > 2.000000e-03 [41869]\n", "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", " Component | high: 41869/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -7747,482 +7650,521 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.454] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00138231 [ 0.10 %]\n", - "Velocity : 0.00642553 [ 0.45 %]\n", - "Force : 0.488373 [ 34.43 %]\n", - "Coefs : 0.189547 [ 13.36 %]\n", - "Output : 0.0156491 [ 1.10 %]\n", - "Levels : 0.000605923 [ 0.04 %]\n", - "Report : 1.276e-06 [ 0.00 %]\n", - "Balance : 7.31e-07 [ 0.00 %]\n", - "Adjust : 0.715772 [ 50.46 %]\n", - "Total : 1.41845 [100.00 %]\n", + "Drift : 0.00164713 [ 0.11 %]\n", + "Velocity : 0.0119442 [ 0.80 %]\n", + "Force : 0.496282 [ 33.19 %]\n", + "Coefs : 0.18963 [ 12.68 %]\n", + "Output : 0.0254312 [ 1.70 %]\n", + "Levels : 0.000526903 [ 0.04 %]\n", + "Report : 1.378e-06 [ 0.00 %]\n", + "Balance : 5.65e-07 [ 0.00 %]\n", + "Adjust : 0.769348 [ 51.45 %]\n", + "Total : 1.49544 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 15.6%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.8938e-03 sec\n", - "--- Collate = 8.5561e-05 sec\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.4208e-03 sec\n", + "--- Collate = 8.2068e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.400462e-02 > 2.000000e-03 [41879]\n", + "--- Max DT=2.399942e-02 > 2.000000e-03 [41875]\n", "----------------------------------------------------------------------\n", - " Component | high: 41879/60000\n", + " Component | high: 41875/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.456] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00142495 [ 0.09 %]\n", - "Velocity : 0.00687213 [ 0.44 %]\n", - "Force : 0.545583 [ 35.24 %]\n", - "Coefs : 0.209098 [ 13.51 %]\n", - "Output : 0.0152738 [ 0.99 %]\n", - "Levels : 0.000535696 [ 0.03 %]\n", - "Report : 9.47e-07 [ 0.00 %]\n", - "Balance : 5.82e-07 [ 0.00 %]\n", - "Adjust : 0.768654 [ 49.65 %]\n", - "Total : 1.54817 [100.00 %]\n", + "Drift : 0.00164687 [ 0.12 %]\n", + "Velocity : 0.00814662 [ 0.61 %]\n", + "Force : 0.459781 [ 34.53 %]\n", + "Coefs : 0.16872 [ 12.67 %]\n", + "Output : 0.0206926 [ 1.55 %]\n", + "Levels : 0.000515667 [ 0.04 %]\n", + "Report : 1.141e-06 [ 0.00 %]\n", + "Balance : 5.72e-07 [ 0.00 %]\n", + "Adjust : 0.671511 [ 50.43 %]\n", + "Total : 1.3316 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.2%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.1609e-03 sec\n", - "--- Collate = 9.4807e-05 sec\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.4289e-03 sec\n", + "--- Collate = 6.6443e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.399853e-02 > 2.000000e-03 [41881]\n", + "--- Max DT=2.399945e-02 > 2.000000e-03 [41882]\n", "----------------------------------------------------------------------\n", - " Component | high: 41881/60000\n", + " Component | high: 41882/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.458] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00130453 [ 0.07 %]\n", - "Velocity : 0.00701523 [ 0.40 %]\n", - "Force : 0.547042 [ 31.44 %]\n", - "Coefs : 0.225964 [ 12.99 %]\n", - "Output : 0.0162536 [ 0.93 %]\n", - "Levels : 0.000523442 [ 0.03 %]\n", - "Report : 1.277e-06 [ 0.00 %]\n", - "Balance : 8.99e-07 [ 0.00 %]\n", - "Adjust : 0.94114 [ 54.09 %]\n", - "Total : 1.74 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00175527 [ 0.13 %]\n", + "Velocity : 0.0078937 [ 0.60 %]\n", + "Force : 0.458932 [ 34.63 %]\n", + "Coefs : 0.165224 [ 12.47 %]\n", + "Output : 0.0279466 [ 2.11 %]\n", + "Levels : 0.000477803 [ 0.04 %]\n", + "Report : 1.532e-06 [ 0.00 %]\n", + "Balance : 6.29e-07 [ 0.00 %]\n", + "Adjust : 0.662452 [ 49.98 %]\n", + "Total : 1.32531 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 8.0%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.3951e-02 sec\n", - "--- Collate = 8.5328e-05 sec\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.7779e-03 sec\n", + "--- Collate = 7.3169e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.399240e-02 > 2.000000e-03 [41865]\n", + "--- Min DT=2.168766e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.400159e-02 > 2.000000e-03 [41864]\n", "----------------------------------------------------------------------\n", - " Component | high: 41865/60000\n", + " Component | low: 1/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41864/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.46] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00132923 [ 0.08 %]\n", - "Velocity : 0.00692864 [ 0.43 %]\n", - "Force : 0.502823 [ 30.98 %]\n", - "Coefs : 0.213716 [ 13.17 %]\n", - "Output : 0.143827 [ 8.86 %]\n", - "Levels : 0.000572445 [ 0.04 %]\n", - "Report : 1.064e-06 [ 0.00 %]\n", - "Balance : 6.6e-07 [ 0.00 %]\n", - "Adjust : 0.752974 [ 46.40 %]\n", - "Total : 1.62292 [100.00 %]\n", + "Drift : 0.00108086 [ 0.08 %]\n", + "Velocity : 0.0039628 [ 0.28 %]\n", + "Force : 0.468215 [ 33.24 %]\n", + "Coefs : 0.176065 [ 12.50 %]\n", + "Output : 0.0978215 [ 6.95 %]\n", + "Levels : 0.000479877 [ 0.03 %]\n", + "Report : 1.361e-06 [ 0.00 %]\n", + "Balance : 5.64e-07 [ 0.00 %]\n", + "Adjust : 0.660275 [ 46.88 %]\n", + "Total : 1.40838 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 5.0%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 8.7772e-03 sec\n", - "--- Collate = 8.6162e-05 sec\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.2824e-03 sec\n", + "--- Collate = 5.8667e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.399681e-02 > 2.000000e-03 [41858]\n", + "--- Max DT=2.399986e-02 > 2.000000e-03 [41861]\n", "----------------------------------------------------------------------\n", - " Component | high: 41858/60000\n", + " Component | high: 41861/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.462] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0015184 [ 0.10 %]\n", - "Velocity : 0.00717449 [ 0.48 %]\n", - "Force : 0.513337 [ 34.63 %]\n", - "Coefs : 0.203064 [ 13.70 %]\n", - "Output : 0.0144963 [ 0.98 %]\n", - "Levels : 0.000620337 [ 0.04 %]\n", - "Report : 1.386e-06 [ 0.00 %]\n", - "Balance : 8.55e-07 [ 0.00 %]\n", - "Adjust : 0.741438 [ 50.02 %]\n", - "Total : 1.48241 [100.00 %]\n", + "Drift : 0.000920736 [ 0.07 %]\n", + "Velocity : 0.00406868 [ 0.31 %]\n", + "Force : 0.469187 [ 35.84 %]\n", + "Coefs : 0.173055 [ 13.22 %]\n", + "Output : 0.0111676 [ 0.85 %]\n", + "Levels : 0.000574637 [ 0.04 %]\n", + "Report : 1.27e-06 [ 0.00 %]\n", + "Balance : 6.57e-07 [ 0.00 %]\n", + "Adjust : 0.649604 [ 49.62 %]\n", + "Total : 1.30906 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 7.2%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 8.8096e-03 sec\n", - "--- Collate = 8.4536e-05 sec\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 8.7861e-03 sec\n", + "--- Collate = 5.9748e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.777723e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.400234e-02 > 2.000000e-03 [41835]\n", + "--- Max DT=2.399327e-02 > 2.000000e-03 [41832]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41835/60000\n", + " Component | high: 41832/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.464] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00137792 [ 0.10 %]\n", - "Velocity : 0.00679193 [ 0.48 %]\n", - "Force : 0.486984 [ 34.61 %]\n", - "Coefs : 0.18673 [ 13.27 %]\n", - "Output : 0.0144626 [ 1.03 %]\n", - "Levels : 0.000513563 [ 0.04 %]\n", - "Report : 1.395e-06 [ 0.00 %]\n", - "Balance : 6.37e-07 [ 0.00 %]\n", - "Adjust : 0.70924 [ 50.41 %]\n", - "Total : 1.40688 [100.00 %]\n", + "Drift : 0.0010425 [ 0.08 %]\n", + "Velocity : 0.00413395 [ 0.31 %]\n", + "Force : 0.470825 [ 35.46 %]\n", + "Coefs : 0.176191 [ 13.27 %]\n", + "Output : 0.0126503 [ 0.95 %]\n", + "Levels : 0.000365204 [ 0.03 %]\n", + "Report : 1.237e-06 [ 0.00 %]\n", + "Balance : 4.41e-07 [ 0.00 %]\n", + "Adjust : 0.661853 [ 49.85 %]\n", + "Total : 1.32758 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.8%\n", + "--- Coef/DT = 5.7%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 8.9094e-03 sec\n", - "--- Collate = 9.9361e-05 sec\n", + "--- Update = 8.9778e-03 sec\n", + "--- Collate = 7.2529e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.399631e-02 > 2.000000e-03 [41836]\n", + "--- Max DT=2.399018e-02 > 2.000000e-03 [41834]\n", "----------------------------------------------------------------------\n", - " Component | high: 41836/60000\n", + " Component | high: 41834/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.466] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00143652 [ 0.10 %]\n", - "Velocity : 0.00749383 [ 0.50 %]\n", - "Force : 0.533367 [ 35.78 %]\n", - "Coefs : 0.18959 [ 12.72 %]\n", - "Output : 0.0142161 [ 0.95 %]\n", - "Levels : 0.000544304 [ 0.04 %]\n", - "Report : 1.499e-06 [ 0.00 %]\n", - "Balance : 7.56e-07 [ 0.00 %]\n", - "Adjust : 0.743357 [ 49.86 %]\n", - "Total : 1.49076 [100.00 %]\n", + "Drift : 0.00098758 [ 0.07 %]\n", + "Velocity : 0.00411269 [ 0.31 %]\n", + "Force : 0.477002 [ 35.90 %]\n", + "Coefs : 0.177533 [ 13.36 %]\n", + "Output : 0.0120809 [ 0.91 %]\n", + "Levels : 0.000361025 [ 0.03 %]\n", + "Report : 1.35e-06 [ 0.00 %]\n", + "Balance : 4.21e-07 [ 0.00 %]\n", + "Adjust : 0.65613 [ 49.38 %]\n", + "Total : 1.32871 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.7%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 8.9578e-03 sec\n", - "--- Collate = 9.1258e-05 sec\n", + "--- Coef/DT = 6.4%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 9.1402e-03 sec\n", + "--- Collate = 7.8959e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.399126e-02 > 2.000000e-03 [41825]\n", + "--- Min DT=3.892781e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.398753e-02 > 2.000000e-03 [41831]\n", "----------------------------------------------------------------------\n", - " Component | high: 41825/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41831/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.468] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00140343 [ 0.10 %]\n", - "Velocity : 0.00701311 [ 0.50 %]\n", - "Force : 0.497431 [ 35.11 %]\n", - "Coefs : 0.190455 [ 13.44 %]\n", - "Output : 0.0140271 [ 0.99 %]\n", - "Levels : 0.000520735 [ 0.04 %]\n", - "Report : 1.189e-06 [ 0.00 %]\n", - "Balance : 8.99e-07 [ 0.00 %]\n", - "Adjust : 0.705028 [ 49.77 %]\n", - "Total : 1.4166 [100.00 %]\n", + "Drift : 0.000963668 [ 0.08 %]\n", + "Velocity : 0.00394725 [ 0.31 %]\n", + "Force : 0.452507 [ 35.82 %]\n", + "Coefs : 0.17023 [ 13.48 %]\n", + "Output : 0.0113036 [ 0.89 %]\n", + "Levels : 0.000379464 [ 0.03 %]\n", + "Report : 1.182e-06 [ 0.00 %]\n", + "Balance : 5.63e-07 [ 0.00 %]\n", + "Adjust : 0.62344 [ 49.35 %]\n", + "Total : 1.26324 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.1%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.8157e-03 sec\n", - "--- Collate = 9.0759e-05 sec\n", + "--- Coef/DT = 6.5%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 8.9865e-03 sec\n", + "--- Collate = 8.0308e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.399002e-02 > 2.000000e-03 [41805]\n", + "--- Min DT=3.771715e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.398562e-02 > 2.000000e-03 [41807]\n", "----------------------------------------------------------------------\n", - " Component | high: 41805/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41807/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.47] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00146821 [ 0.09 %]\n", - "Velocity : 0.00768946 [ 0.45 %]\n", - "Force : 0.569571 [ 33.04 %]\n", - "Coefs : 0.251955 [ 14.61 %]\n", - "Output : 0.016218 [ 0.94 %]\n", - "Levels : 0.00056688 [ 0.03 %]\n", - "Report : 1.304e-06 [ 0.00 %]\n", - "Balance : 8.82e-07 [ 0.00 %]\n", - "Adjust : 0.875721 [ 50.80 %]\n", - "Total : 1.72399 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000933475 [ 0.07 %]\n", + "Velocity : 0.00368224 [ 0.29 %]\n", + "Force : 0.451919 [ 35.44 %]\n", + "Coefs : 0.171156 [ 13.42 %]\n", + "Output : 0.011229 [ 0.88 %]\n", + "Levels : 0.00039464 [ 0.03 %]\n", + "Report : 8.11e-07 [ 0.00 %]\n", + "Balance : 4.05e-07 [ 0.00 %]\n", + "Adjust : 0.635418 [ 49.83 %]\n", + "Total : 1.27522 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.6%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 8.9720e-03 sec\n", - "--- Collate = 9.5073e-05 sec\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.4271e-03 sec\n", + "--- Collate = 7.9328e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.841894e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.399605e-02 > 2.000000e-03 [41809]\n", + "--- Min DT=3.712639e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.398900e-02 > 2.000000e-03 [41817]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41809/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41817/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.472] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00144331 [ 0.10 %]\n", - "Velocity : 0.00708082 [ 0.48 %]\n", - "Force : 0.523029 [ 35.16 %]\n", - "Coefs : 0.20601 [ 13.85 %]\n", - "Output : 0.0158382 [ 1.06 %]\n", - "Levels : 0.000605016 [ 0.04 %]\n", - "Report : 1.209e-06 [ 0.00 %]\n", - "Balance : 6.41e-07 [ 0.00 %]\n", - "Adjust : 0.73284 [ 49.26 %]\n", - "Total : 1.48757 [100.00 %]\n", + "Drift : 0.000765908 [ 0.06 %]\n", + "Velocity : 0.00343478 [ 0.27 %]\n", + "Force : 0.44307 [ 35.10 %]\n", + "Coefs : 0.1671 [ 13.24 %]\n", + "Output : 0.0178669 [ 1.42 %]\n", + "Levels : 0.000361546 [ 0.03 %]\n", + "Report : 1.236e-06 [ 0.00 %]\n", + "Balance : 6.43e-07 [ 0.00 %]\n", + "Adjust : 0.629259 [ 49.85 %]\n", + "Total : 1.26234 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.7%\n", + "--- Coef/DT = 4.6%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.6987e-03 sec\n", - "--- Collate = 6.9347e-05 sec\n", + "--- Update = 8.1600e-03 sec\n", + "--- Collate = 7.5222e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.400852e-02 > 2.000000e-03 [41799]\n", + "--- Max DT=2.399196e-02 > 2.000000e-03 [41802]\n", "----------------------------------------------------------------------\n", - " Component | high: 41799/60000\n", + " Component | high: 41802/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.474] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00143992 [ 0.09 %]\n", - "Velocity : 0.00579411 [ 0.38 %]\n", - "Force : 0.525383 [ 34.51 %]\n", - "Coefs : 0.21794 [ 14.32 %]\n", - "Output : 0.0151349 [ 0.99 %]\n", - "Levels : 0.000395825 [ 0.03 %]\n", - "Report : 1.252e-06 [ 0.00 %]\n", - "Balance : 5.66e-07 [ 0.00 %]\n", - "Adjust : 0.755592 [ 49.63 %]\n", - "Total : 1.52238 [100.00 %]\n", + "Drift : 0.000820623 [ 0.06 %]\n", + "Velocity : 0.00335762 [ 0.26 %]\n", + "Force : 0.471037 [ 36.03 %]\n", + "Coefs : 0.172174 [ 13.17 %]\n", + "Output : 0.0102371 [ 0.78 %]\n", + "Levels : 0.000362019 [ 0.03 %]\n", + "Report : 1.428e-06 [ 0.00 %]\n", + "Balance : 6.71e-07 [ 0.00 %]\n", + "Adjust : 0.648914 [ 49.64 %]\n", + "Total : 1.30736 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info in comp, mlevel=4--------------------------------------\n", + "----------------------------------------------------------------------\n", + " COM: 3.595664e-03\n", + " Position: 7.898157e+00\n", + " --------------------------------------------------\n", + " *** fix pos : 7.679088e+00 \n", + " --------------------------------------------------\n", + " Ang mom: 6.122523e+00\n", + " Zero: 8.130089e-01\n", + " Accel: 5.196055e+01\n", + " Interaction: 1.346683e+01\n", + " --------------------------------------------------\n", + " *** dark halo <=> star disk : 6.588740e+00\n", + " *** star disk <=> dark halo : 6.808259e+00\n", + " --------------------------------------------------\n", + " External: 1.950620e-02\n", + " Expand: 3.850695e+01\n", + " Force: 5.302838e+01\n", + " Elapsed: 3.000032e+02\n", + "----------------------------------------------------------------------\n", + "\n", + "mstep/Mstep=144/256\n", + "0 |240 1 |238 2 |475 3 |950 4 |1901 \n", + "5 |3801 6 |7602 7 |15204 8 |30408 \n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.1%\n", + "--- Coef/DT = 4.6%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0141e-02 sec\n", - "--- Collate = 1.0899e-04 sec\n", + "--- Update = 7.7266e-03 sec\n", + "--- Collate = 9.2763e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.645086e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.402075e-02 > 2.000000e-03 [41797]\n", + "--- Max DT=2.399814e-02 > 2.000000e-03 [41791]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41797/60000\n", + " Component | high: 41791/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.476] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00134426 [ 0.09 %]\n", - "Velocity : 0.00573782 [ 0.37 %]\n", - "Force : 0.54398 [ 35.32 %]\n", - "Coefs : 0.209268 [ 13.59 %]\n", - "Output : 0.0188167 [ 1.22 %]\n", - "Levels : 0.000616324 [ 0.04 %]\n", - "Report : 1.4e-06 [ 0.00 %]\n", - "Balance : 9.98e-07 [ 0.00 %]\n", - "Adjust : 0.759471 [ 49.32 %]\n", - "Total : 1.54 [100.00 %]\n", + "Drift : 0.000916601 [ 0.08 %]\n", + "Velocity : 0.00332819 [ 0.29 %]\n", + "Force : 0.402419 [ 35.24 %]\n", + "Coefs : 0.151177 [ 13.24 %]\n", + "Output : 0.0109432 [ 0.96 %]\n", + "Levels : 0.000377659 [ 0.03 %]\n", + "Report : 1.516e-06 [ 0.00 %]\n", + "Balance : 6.48e-07 [ 0.00 %]\n", + "Adjust : 0.572167 [ 50.11 %]\n", + "Total : 1.14181 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 7.3%\n", + "--- Coef/DT = 5.7%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 9.9818e-03 sec\n", - "--- Collate = 1.5807e-04 sec\n", + "--- Update = 8.7591e-03 sec\n", + "--- Collate = 5.8166e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.475574e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.402406e-02 > 2.000000e-03 [41788]\n", + "--- Max DT=2.400511e-02 > 2.000000e-03 [41785]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41788/60000\n", + " Component | high: 41785/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.478] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00129696 [ 0.08 %]\n", - "Velocity : 0.00559494 [ 0.37 %]\n", - "Force : 0.538988 [ 35.29 %]\n", - "Coefs : 0.21222 [ 13.90 %]\n", - "Output : 0.0169932 [ 1.11 %]\n", - "Levels : 0.000468597 [ 0.03 %]\n", - "Report : 1.481e-06 [ 0.00 %]\n", - "Balance : 5.8e-07 [ 0.00 %]\n", - "Adjust : 0.75097 [ 49.17 %]\n", - "Total : 1.52726 [100.00 %]\n", + "Drift : 0.000928999 [ 0.08 %]\n", + "Velocity : 0.00341577 [ 0.29 %]\n", + "Force : 0.418903 [ 34.96 %]\n", + "Coefs : 0.160637 [ 13.41 %]\n", + "Output : 0.0109062 [ 0.91 %]\n", + "Levels : 0.000352572 [ 0.03 %]\n", + "Report : 1.359e-06 [ 0.00 %]\n", + "Balance : 4.31e-07 [ 0.00 %]\n", + "Adjust : 0.602633 [ 50.29 %]\n", + "Total : 1.19826 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.3%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.4281e-03 sec\n", - "--- Collate = 6.6698e-05 sec\n", + "--- Coef/DT = 4.6%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.9206e-03 sec\n", + "--- Collate = 5.9600e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.401649e-02 > 2.000000e-03 [41778]\n", + "--- Max DT=2.400556e-02 > 2.000000e-03 [41783]\n", "----------------------------------------------------------------------\n", - " Component | high: 41778/60000\n", + " Component | high: 41783/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.48] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00149026 [ 0.09 %]\n", - "Velocity : 0.00878005 [ 0.51 %]\n", - "Force : 0.528796 [ 30.80 %]\n", - "Coefs : 0.217714 [ 12.68 %]\n", - "Output : 0.157966 [ 9.20 %]\n", - "Levels : 0.000738911 [ 0.04 %]\n", - "Report : 1.328e-06 [ 0.00 %]\n", - "Balance : 8.39e-07 [ 0.00 %]\n", - "Adjust : 0.800937 [ 46.64 %]\n", - "Total : 1.7171 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000928206 [ 0.07 %]\n", + "Velocity : 0.00371222 [ 0.27 %]\n", + "Force : 0.450151 [ 32.26 %]\n", + "Coefs : 0.169858 [ 12.17 %]\n", + "Output : 0.132552 [ 9.50 %]\n", + "Levels : 0.000535187 [ 0.04 %]\n", + "Report : 1.216e-06 [ 0.00 %]\n", + "Balance : 6.68e-07 [ 0.00 %]\n", + "Adjust : 0.637308 [ 45.67 %]\n", + "Total : 1.39556 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.3%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.5657e-03 sec\n", - "--- Collate = 8.8598e-05 sec\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.9819e-03 sec\n", + "--- Collate = 8.9385e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.228993e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.400277e-02 > 2.000000e-03 [41795]\n", + "--- Max DT=2.400163e-02 > 2.000000e-03 [41790]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41795/60000\n", + " Component | high: 41790/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.482] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00169855 [ 0.11 %]\n", - "Velocity : 0.00725682 [ 0.46 %]\n", - "Force : 0.526436 [ 33.17 %]\n", - "Coefs : 0.229792 [ 14.48 %]\n", - "Output : 0.0212524 [ 1.34 %]\n", - "Levels : 0.000472149 [ 0.03 %]\n", - "Report : 1.84e-06 [ 0.00 %]\n", - "Balance : 7.82e-07 [ 0.00 %]\n", - "Adjust : 0.799112 [ 50.35 %]\n", - "Total : 1.58702 [100.00 %]\n", + "Drift : 0.00111579 [ 0.09 %]\n", + "Velocity : 0.004056 [ 0.31 %]\n", + "Force : 0.464695 [ 35.98 %]\n", + "Coefs : 0.170299 [ 13.19 %]\n", + "Output : 0.0114474 [ 0.89 %]\n", + "Levels : 0.000407648 [ 0.03 %]\n", + "Report : 1.332e-06 [ 0.00 %]\n", + "Balance : 7.4e-07 [ 0.00 %]\n", + "Adjust : 0.63896 [ 49.48 %]\n", + "Total : 1.29146 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.7%\n", + "--- Coef/DT = 4.6%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 8.9457e-03 sec\n", - "--- Collate = 1.3529e-04 sec\n", + "--- Update = 7.8272e-03 sec\n", + "--- Collate = 5.6691e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.541768e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.398910e-02 > 2.000000e-03 [41796]\n", + "--- Max DT=2.399966e-02 > 2.000000e-03 [41796]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", " Component | high: 41796/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -8230,392 +8172,407 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.484] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00140952 [ 0.09 %]\n", - "Velocity : 0.00564083 [ 0.35 %]\n", - "Force : 0.539903 [ 33.42 %]\n", - "Coefs : 0.221288 [ 13.70 %]\n", - "Output : 0.0168178 [ 1.04 %]\n", - "Levels : 0.000432928 [ 0.03 %]\n", - "Report : 1.156e-06 [ 0.00 %]\n", - "Balance : 6.76e-07 [ 0.00 %]\n", - "Adjust : 0.829223 [ 51.33 %]\n", - "Total : 1.61545 [100.00 %]\n", + "Drift : 0.0010373 [ 0.08 %]\n", + "Velocity : 0.00360663 [ 0.29 %]\n", + "Force : 0.427823 [ 34.97 %]\n", + "Coefs : 0.166516 [ 13.61 %]\n", + "Output : 0.0111406 [ 0.91 %]\n", + "Levels : 0.000384813 [ 0.03 %]\n", + "Report : 8.53e-07 [ 0.00 %]\n", + "Balance : 3.99e-07 [ 0.00 %]\n", + "Adjust : 0.612351 [ 50.06 %]\n", + "Total : 1.22335 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 7.1%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.3546e-03 sec\n", - "--- Collate = 8.0990e-05 sec\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 9.2775e-03 sec\n", + "--- Collate = 9.4297e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.398080e-02 > 2.000000e-03 [41801]\n", + "--- Min DT=3.802226e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.399935e-02 > 2.000000e-03 [41803]\n", "----------------------------------------------------------------------\n", - " Component | high: 41801/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41803/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.486] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00106947 [ 0.07 %]\n", - "Velocity : 0.00498309 [ 0.35 %]\n", - "Force : 0.495924 [ 34.56 %]\n", - "Coefs : 0.19331 [ 13.47 %]\n", - "Output : 0.0225354 [ 1.57 %]\n", - "Levels : 0.000467504 [ 0.03 %]\n", - "Report : 1.413e-06 [ 0.00 %]\n", - "Balance : 8.43e-07 [ 0.00 %]\n", - "Adjust : 0.715938 [ 49.89 %]\n", - "Total : 1.43491 [100.00 %]\n", + "Drift : 0.000823084 [ 0.07 %]\n", + "Velocity : 0.00333017 [ 0.27 %]\n", + "Force : 0.432731 [ 34.48 %]\n", + "Coefs : 0.167085 [ 13.31 %]\n", + "Output : 0.0108602 [ 0.87 %]\n", + "Levels : 0.000369755 [ 0.03 %]\n", + "Report : 1.299e-06 [ 0.00 %]\n", + "Balance : 6.06e-07 [ 0.00 %]\n", + "Adjust : 0.639287 [ 50.94 %]\n", + "Total : 1.25497 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.9%\n", + "--- Coef/DT = 5.3%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 8.7953e-03 sec\n", - "--- Collate = 7.4024e-05 sec\n", + "--- Update = 9.0596e-03 sec\n", + "--- Collate = 7.8724e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.398225e-02 > 2.000000e-03 [41796]\n", + "--- Max DT=2.399775e-02 > 2.000000e-03 [41798]\n", "----------------------------------------------------------------------\n", - " Component | high: 41796/60000\n", + " Component | high: 41798/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.488] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00153938 [ 0.10 %]\n", - "Velocity : 0.00686718 [ 0.47 %]\n", - "Force : 0.508436 [ 34.44 %]\n", - "Coefs : 0.196716 [ 13.33 %]\n", - "Output : 0.0182168 [ 1.23 %]\n", - "Levels : 0.000583441 [ 0.04 %]\n", - "Report : 1.473e-06 [ 0.00 %]\n", - "Balance : 5.62e-07 [ 0.00 %]\n", - "Adjust : 0.743111 [ 50.34 %]\n", - "Total : 1.47617 [100.00 %]\n", + "Drift : 0.000865861 [ 0.07 %]\n", + "Velocity : 0.00373832 [ 0.29 %]\n", + "Force : 0.448738 [ 35.24 %]\n", + "Coefs : 0.17279 [ 13.57 %]\n", + "Output : 0.0106923 [ 0.84 %]\n", + "Levels : 0.000478985 [ 0.04 %]\n", + "Report : 6.93e-07 [ 0.00 %]\n", + "Balance : 3.83e-07 [ 0.00 %]\n", + "Adjust : 0.63554 [ 49.91 %]\n", + "Total : 1.27333 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.9%\n", + "--- Coef/DT = 5.2%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.3817e-03 sec\n", - "--- Collate = 9.0963e-05 sec\n", + "--- Update = 9.0399e-03 sec\n", + "--- Collate = 7.2473e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.398058e-02 > 2.000000e-03 [41801]\n", + "--- Max DT=2.399425e-02 > 2.000000e-03 [41800]\n", "----------------------------------------------------------------------\n", - " Component | high: 41801/60000\n", + " Component | high: 41800/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.49] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00201389 [ 0.13 %]\n", - "Velocity : 0.00882613 [ 0.55 %]\n", - "Force : 0.537021 [ 33.69 %]\n", - "Coefs : 0.213884 [ 13.42 %]\n", - "Output : 0.0256407 [ 1.61 %]\n", - "Levels : 0.000572852 [ 0.04 %]\n", - "Report : 8.77e-07 [ 0.00 %]\n", - "Balance : 5.85e-07 [ 0.00 %]\n", - "Adjust : 0.805205 [ 50.52 %]\n", - "Total : 1.5938 [100.00 %]\n", + "Drift : 0.000944373 [ 0.08 %]\n", + "Velocity : 0.00385018 [ 0.31 %]\n", + "Force : 0.432095 [ 34.80 %]\n", + "Coefs : 0.165411 [ 13.32 %]\n", + "Output : 0.0122507 [ 0.99 %]\n", + "Levels : 0.000437874 [ 0.04 %]\n", + "Report : 1.174e-06 [ 0.00 %]\n", + "Balance : 5.27e-07 [ 0.00 %]\n", + "Adjust : 0.626103 [ 50.43 %]\n", + "Total : 1.24164 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.2%\n", + "--- Coef/DT = 4.5%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.1551e-03 sec\n", - "--- Collate = 7.2029e-05 sec\n", + "--- Update = 8.5735e-03 sec\n", + "--- Collate = 6.6466e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.880607e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.397467e-02 > 2.000000e-03 [41790]\n", + "--- Max DT=2.399195e-02 > 2.000000e-03 [41791]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41790/60000\n", + " Component | high: 41791/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.492] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00169496 [ 0.11 %]\n", - "Velocity : 0.00834899 [ 0.53 %]\n", - "Force : 0.536956 [ 34.13 %]\n", - "Coefs : 0.206926 [ 13.15 %]\n", - "Output : 0.0227978 [ 1.45 %]\n", - "Levels : 0.000528883 [ 0.03 %]\n", - "Report : 8.34e-07 [ 0.00 %]\n", - "Balance : 5.07e-07 [ 0.00 %]\n", - "Adjust : 0.795444 [ 50.56 %]\n", - "Total : 1.57339 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000926303 [ 0.07 %]\n", + "Velocity : 0.0039855 [ 0.29 %]\n", + "Force : 0.479636 [ 35.21 %]\n", + "Coefs : 0.179736 [ 13.19 %]\n", + "Output : 0.013231 [ 0.97 %]\n", + "Levels : 0.00043564 [ 0.03 %]\n", + "Report : 1.022e-06 [ 0.00 %]\n", + "Balance : 5.17e-07 [ 0.00 %]\n", + "Adjust : 0.683795 [ 50.20 %]\n", + "Total : 1.36227 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.6%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.2852e-03 sec\n", - "--- Collate = 1.0511e-04 sec\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.0069e-03 sec\n", + "--- Collate = 6.2109e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.842631e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.397167e-02 > 2.000000e-03 [41766]\n", + "--- Min DT=3.340295e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.399183e-02 > 2.000000e-03 [41767]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 41766/60000\n", + " Component | high: 41767/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.494] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00167782 [ 0.10 %]\n", - "Velocity : 0.00818994 [ 0.50 %]\n", - "Force : 0.56722 [ 34.46 %]\n", - "Coefs : 0.211758 [ 12.87 %]\n", - "Output : 0.0237103 [ 1.44 %]\n", - "Levels : 0.000621672 [ 0.04 %]\n", - "Report : 1.276e-06 [ 0.00 %]\n", - "Balance : 8.42e-07 [ 0.00 %]\n", - "Adjust : 0.832146 [ 50.56 %]\n", - "Total : 1.64598 [100.00 %]\n", + "Drift : 0.00125376 [ 0.10 %]\n", + "Velocity : 0.00414695 [ 0.34 %]\n", + "Force : 0.419804 [ 34.49 %]\n", + "Coefs : 0.164641 [ 13.52 %]\n", + "Output : 0.014986 [ 1.23 %]\n", + "Levels : 0.000467285 [ 0.04 %]\n", + "Report : 9.21e-07 [ 0.00 %]\n", + "Balance : 5.93e-07 [ 0.00 %]\n", + "Adjust : 0.611421 [ 50.23 %]\n", + "Total : 1.21732 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.8%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.2546e-03 sec\n", - "--- Collate = 5.3147e-05 sec\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 9.1954e-03 sec\n", + "--- Collate = 8.5053e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.397856e-02 > 2.000000e-03 [41792]\n", + "--- Min DT=3.580514e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.399761e-02 > 2.000000e-03 [41783]\n", "----------------------------------------------------------------------\n", - " Component | high: 41792/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41783/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.496] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00217223 [ 0.14 %]\n", - "Velocity : 0.00886357 [ 0.56 %]\n", - "Force : 0.567182 [ 35.59 %]\n", - "Coefs : 0.21062 [ 13.22 %]\n", - "Output : 0.0251772 [ 1.58 %]\n", - "Levels : 0.00058164 [ 0.04 %]\n", - "Report : 1.443e-06 [ 0.00 %]\n", - "Balance : 8.61e-07 [ 0.00 %]\n", - "Adjust : 0.778268 [ 48.84 %]\n", - "Total : 1.59357 [100.00 %]\n", + "Drift : 0.00130304 [ 0.08 %]\n", + "Velocity : 0.00589763 [ 0.37 %]\n", + "Force : 0.530929 [ 33.54 %]\n", + "Coefs : 0.201993 [ 12.76 %]\n", + "Output : 0.0201768 [ 1.27 %]\n", + "Levels : 0.000515562 [ 0.03 %]\n", + "Report : 1.759e-06 [ 0.00 %]\n", + "Balance : 5.94e-07 [ 0.00 %]\n", + "Adjust : 0.821391 [ 51.89 %]\n", + "Total : 1.58286 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.6%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.2455e-03 sec\n", - "--- Collate = 7.1441e-05 sec\n", + "--- Coef/DT = 3.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 1.8497e-02 sec\n", + "--- Collate = 7.8362e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.382216e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.399651e-02 > 2.000000e-03 [41784]\n", + "--- Min DT=2.348729e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.400415e-02 > 2.000000e-03 [41783]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 41784/60000\n", + " Component | high: 41783/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.498] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00197506 [ 0.11 %]\n", - "Velocity : 0.00963116 [ 0.53 %]\n", - "Force : 0.569656 [ 31.30 %]\n", - "Coefs : 0.246103 [ 13.52 %]\n", - "Output : 0.0295372 [ 1.62 %]\n", - "Levels : 0.000862612 [ 0.05 %]\n", - "Report : 1.034e-06 [ 0.00 %]\n", - "Balance : 7.15e-07 [ 0.00 %]\n", - "Adjust : 0.961274 [ 52.82 %]\n", - "Total : 1.8199 [100.00 %]\n", + "Drift : 0.00140766 [ 0.07 %]\n", + "Velocity : 0.00628254 [ 0.31 %]\n", + "Force : 0.646994 [ 31.71 %]\n", + "Coefs : 0.296337 [ 14.52 %]\n", + "Output : 0.0180753 [ 0.89 %]\n", + "Levels : 0.000554945 [ 0.03 %]\n", + "Report : 1.223e-06 [ 0.00 %]\n", + "Balance : 5.67e-07 [ 0.00 %]\n", + "Adjust : 1.06993 [ 52.44 %]\n", + "Total : 2.04034 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.9%\n", + "--- Coef/DT = 5.2%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.9519e-03 sec\n", - "--- Collate = 7.2259e-05 sec\n", + "--- Update = 9.4443e-03 sec\n", + "--- Collate = 8.7402e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.337591e-06 < 7.812500e-06 [3]\n", - "--- Max DT=2.401308e-02 > 2.000000e-03 [41791]\n", + "--- Max DT=2.400818e-02 > 2.000000e-03 [41786]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 3/20000\n", - " Component | high: 41791/60000\n", + " Component | high: 41786/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.5] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00235518 [ 0.14 %]\n", - "Velocity : 0.00945873 [ 0.55 %]\n", - "Force : 0.55482 [ 31.98 %]\n", - "Coefs : 0.211158 [ 12.17 %]\n", - "Output : 0.159685 [ 9.20 %]\n", - "Levels : 0.000878052 [ 0.05 %]\n", - "Report : 1.791e-06 [ 0.00 %]\n", - "Balance : 8.75e-07 [ 0.00 %]\n", - "Adjust : 0.795875 [ 45.87 %]\n", - "Total : 1.73494 [100.00 %]\n", + "Drift : 0.00145158 [ 0.09 %]\n", + "Velocity : 0.00628086 [ 0.37 %]\n", + "Force : 0.553301 [ 32.91 %]\n", + "Coefs : 0.20306 [ 12.08 %]\n", + "Output : 0.150396 [ 8.94 %]\n", + "Levels : 0.000526996 [ 0.03 %]\n", + "Report : 1.561e-06 [ 0.00 %]\n", + "Balance : 6.88e-07 [ 0.00 %]\n", + "Adjust : 0.765631 [ 45.54 %]\n", + "Total : 1.68134 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.0%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 8.7460e-03 sec\n", - "--- Collate = 6.8812e-05 sec\n", + "--- Coef/DT = 6.7%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 9.3240e-03 sec\n", + "--- Collate = 9.0724e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.332109e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.402156e-02 > 2.000000e-03 [41782]\n", + "--- Min DT=2.826573e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.401531e-02 > 2.000000e-03 [41779]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41782/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41779/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.502] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00176086 [ 0.12 %]\n", - "Velocity : 0.007929 [ 0.52 %]\n", - "Force : 0.52713 [ 34.43 %]\n", - "Coefs : 0.210374 [ 13.74 %]\n", - "Output : 0.0214541 [ 1.40 %]\n", - "Levels : 0.000610831 [ 0.04 %]\n", - "Report : 1.496e-06 [ 0.00 %]\n", - "Balance : 9.39e-07 [ 0.00 %]\n", - "Adjust : 0.761032 [ 49.71 %]\n", - "Total : 1.53099 [100.00 %]\n", + "Drift : 0.00169925 [ 0.13 %]\n", + "Velocity : 0.00607475 [ 0.47 %]\n", + "Force : 0.443036 [ 34.08 %]\n", + "Coefs : 0.172143 [ 13.24 %]\n", + "Output : 0.0195063 [ 1.50 %]\n", + "Levels : 0.000532184 [ 0.04 %]\n", + "Report : 1.406e-06 [ 0.00 %]\n", + "Balance : 5.56e-07 [ 0.00 %]\n", + "Adjust : 0.656384 [ 50.49 %]\n", + "Total : 1.30006 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.1%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.4910e-03 sec\n", - "--- Collate = 2.9387e-04 sec\n", + "--- Coef/DT = 3.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 1.9380e-02 sec\n", + "--- Collate = 8.9014e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.402545e-02 > 2.000000e-03 [41784]\n", + "--- Min DT=3.897971e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.401903e-02 > 2.000000e-03 [41783]\n", "----------------------------------------------------------------------\n", - " Component | high: 41784/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41783/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.504] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00181032 [ 0.11 %]\n", - "Velocity : 0.00824624 [ 0.51 %]\n", - "Force : 0.543347 [ 33.79 %]\n", - "Coefs : 0.217951 [ 13.56 %]\n", - "Output : 0.0257998 [ 1.60 %]\n", - "Levels : 0.000535802 [ 0.03 %]\n", - "Report : 7.99e-07 [ 0.00 %]\n", - "Balance : 5.73e-07 [ 0.00 %]\n", - "Adjust : 0.809413 [ 50.34 %]\n", - "Total : 1.6079 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00147181 [ 0.10 %]\n", + "Velocity : 0.00550516 [ 0.39 %]\n", + "Force : 0.460246 [ 32.74 %]\n", + "Coefs : 0.194016 [ 13.80 %]\n", + "Output : 0.0187841 [ 1.34 %]\n", + "Levels : 0.000556062 [ 0.04 %]\n", + "Report : 9.78e-07 [ 0.00 %]\n", + "Balance : 5.56e-07 [ 0.00 %]\n", + "Adjust : 0.724379 [ 51.53 %]\n", + "Total : 1.40562 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.3%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.7049e-03 sec\n", - "--- Collate = 7.6433e-05 sec\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.8178e-03 sec\n", + "--- Collate = 1.0088e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.798260e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.402701e-02 > 2.000000e-03 [41770]\n", + "--- Min DT=2.142050e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.401611e-02 > 2.000000e-03 [41771]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41770/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41771/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.506] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00134619 [ 0.08 %]\n", - "Velocity : 0.00723601 [ 0.42 %]\n", - "Force : 0.545468 [ 31.87 %]\n", - "Coefs : 0.3354 [ 19.60 %]\n", - "Output : 0.0167204 [ 0.98 %]\n", - "Levels : 0.000597024 [ 0.03 %]\n", - "Report : 1.342e-06 [ 0.00 %]\n", - "Balance : 7.51e-07 [ 0.00 %]\n", - "Adjust : 0.803959 [ 46.97 %]\n", - "Total : 1.71147 [100.00 %]\n", + "Drift : 0.00140596 [ 0.09 %]\n", + "Velocity : 0.00598541 [ 0.38 %]\n", + "Force : 0.587135 [ 37.54 %]\n", + "Coefs : 0.212379 [ 13.58 %]\n", + "Output : 0.017261 [ 1.10 %]\n", + "Levels : 0.00051004 [ 0.03 %]\n", + "Report : 1.333e-06 [ 0.00 %]\n", + "Balance : 5.63e-07 [ 0.00 %]\n", + "Adjust : 0.738841 [ 47.23 %]\n", + "Total : 1.5642 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.0%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 9.0793e-03 sec\n", - "--- Collate = 7.1369e-05 sec\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 9.2371e-03 sec\n", + "--- Collate = 1.0882e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.816095e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.402988e-02 > 2.000000e-03 [41767]\n", + "--- Min DT=1.439237e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.401583e-02 > 2.000000e-03 [41767]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 2/20000\n", + " Component | low: 1/20000\n", " Component | high: 41767/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -8623,255 +8580,255 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.508] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0014317 [ 0.09 %]\n", - "Velocity : 0.00693909 [ 0.45 %]\n", - "Force : 0.546922 [ 35.07 %]\n", - "Coefs : 0.222892 [ 14.29 %]\n", - "Output : 0.0139855 [ 0.90 %]\n", - "Levels : 0.00049907 [ 0.03 %]\n", - "Report : 1.726e-06 [ 0.00 %]\n", - "Balance : 6.75e-07 [ 0.00 %]\n", - "Adjust : 0.765937 [ 49.12 %]\n", - "Total : 1.5593 [100.00 %]\n", + "Drift : 0.00117338 [ 0.09 %]\n", + "Velocity : 0.00435462 [ 0.35 %]\n", + "Force : 0.416517 [ 33.24 %]\n", + "Coefs : 0.172362 [ 13.75 %]\n", + "Output : 0.0143061 [ 1.14 %]\n", + "Levels : 0.00042355 [ 0.03 %]\n", + "Report : 1.327e-06 [ 0.00 %]\n", + "Balance : 6.28e-07 [ 0.00 %]\n", + "Adjust : 0.643512 [ 51.35 %]\n", + "Total : 1.25321 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.7%\n", + "--- Coef/DT = 5.1%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0043e-02 sec\n", - "--- Collate = 7.6697e-05 sec\n", + "--- Update = 8.8652e-03 sec\n", + "--- Collate = 8.0526e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.403573e-02 > 2.000000e-03 [41778]\n", + "--- Max DT=2.402065e-02 > 2.000000e-03 [41777]\n", "----------------------------------------------------------------------\n", - " Component | high: 41778/60000\n", + " Component | high: 41777/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.51] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00158088 [ 0.07 %]\n", - "Velocity : 0.0072371 [ 0.32 %]\n", - "Force : 0.691006 [ 30.77 %]\n", - "Coefs : 0.345064 [ 15.37 %]\n", - "Output : 0.0290837 [ 1.30 %]\n", - "Levels : 0.000550059 [ 0.02 %]\n", - "Report : 1.641e-06 [ 0.00 %]\n", - "Balance : 7.88e-07 [ 0.00 %]\n", - "Adjust : 1.17021 [ 52.11 %]\n", - "Total : 2.2455 [100.00 %]\n", + "Drift : 0.00143845 [ 0.10 %]\n", + "Velocity : 0.00534508 [ 0.37 %]\n", + "Force : 0.50292 [ 34.98 %]\n", + "Coefs : 0.196486 [ 13.67 %]\n", + "Output : 0.0155909 [ 1.08 %]\n", + "Levels : 0.000375717 [ 0.03 %]\n", + "Report : 1.135e-06 [ 0.00 %]\n", + "Balance : 6.77e-07 [ 0.00 %]\n", + "Adjust : 0.71501 [ 49.73 %]\n", + "Total : 1.43782 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 7.1%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.7096e-03 sec\n", - "--- Collate = 7.4623e-05 sec\n", + "--- Coef/DT = 4.5%\n", + "--- Adj/Tot = 1.0%\n", + "--- Update = 9.0101e-03 sec\n", + "--- Collate = 8.9165e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.022180e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.403950e-02 > 2.000000e-03 [41789]\n", + "--- Min DT=2.240149e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.402386e-02 > 2.000000e-03 [41797]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41789/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41797/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.512] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00132128 [ 0.08 %]\n", - "Velocity : 0.00716172 [ 0.46 %]\n", - "Force : 0.547229 [ 35.08 %]\n", - "Coefs : 0.208549 [ 13.37 %]\n", - "Output : 0.0155847 [ 1.00 %]\n", - "Levels : 0.0005259 [ 0.03 %]\n", - "Report : 1.337e-06 [ 0.00 %]\n", - "Balance : 6.39e-07 [ 0.00 %]\n", - "Adjust : 0.778735 [ 49.92 %]\n", - "Total : 1.55984 [100.00 %]\n", + "Drift : 0.00115372 [ 0.08 %]\n", + "Velocity : 0.00479139 [ 0.35 %]\n", + "Force : 0.492124 [ 35.88 %]\n", + "Coefs : 0.180793 [ 13.18 %]\n", + "Output : 0.0156546 [ 1.14 %]\n", + "Levels : 0.000597708 [ 0.04 %]\n", + "Report : 1.712e-06 [ 0.00 %]\n", + "Balance : 1.124e-06 [ 0.00 %]\n", + "Adjust : 0.675869 [ 49.28 %]\n", + "Total : 1.37156 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.9%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.9701e-03 sec\n", - "--- Collate = 8.2324e-05 sec\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.7190e-03 sec\n", + "--- Collate = 7.1711e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.409151e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.403836e-02 > 2.000000e-03 [41772]\n", + "--- Max DT=2.402673e-02 > 2.000000e-03 [41779]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41772/60000\n", + " Component | high: 41779/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.514] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00143502 [ 0.09 %]\n", - "Velocity : 0.00730703 [ 0.48 %]\n", - "Force : 0.533787 [ 35.13 %]\n", - "Coefs : 0.205968 [ 13.56 %]\n", - "Output : 0.0153399 [ 1.01 %]\n", - "Levels : 0.000531153 [ 0.03 %]\n", - "Report : 1.459e-06 [ 0.00 %]\n", - "Balance : 5.74e-07 [ 0.00 %]\n", - "Adjust : 0.754256 [ 49.64 %]\n", - "Total : 1.51932 [100.00 %]\n", + "Drift : 0.00129496 [ 0.09 %]\n", + "Velocity : 0.00524044 [ 0.37 %]\n", + "Force : 0.495109 [ 34.68 %]\n", + "Coefs : 0.193302 [ 13.54 %]\n", + "Output : 0.0149377 [ 1.05 %]\n", + "Levels : 0.000318576 [ 0.02 %]\n", + "Report : 1.426e-06 [ 0.00 %]\n", + "Balance : 6.34e-07 [ 0.00 %]\n", + "Adjust : 0.717004 [ 50.22 %]\n", + "Total : 1.42781 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.1%\n", + "--- Coef/DT = 6.2%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 8.9532e-03 sec\n", - "--- Collate = 8.9909e-05 sec\n", + "--- Update = 7.8995e-03 sec\n", + "--- Collate = 9.0833e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.402707e-02 > 2.000000e-03 [41792]\n", + "--- Max DT=2.402953e-02 > 2.000000e-03 [41793]\n", "----------------------------------------------------------------------\n", - " Component | high: 41792/60000\n", + " Component | high: 41793/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.516] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00154596 [ 0.10 %]\n", - "Velocity : 0.00729494 [ 0.47 %]\n", - "Force : 0.54148 [ 35.13 %]\n", - "Coefs : 0.209614 [ 13.60 %]\n", - "Output : 0.0150959 [ 0.98 %]\n", - "Levels : 0.000553943 [ 0.04 %]\n", - "Report : 1.428e-06 [ 0.00 %]\n", - "Balance : 8.16e-07 [ 0.00 %]\n", - "Adjust : 0.764988 [ 49.63 %]\n", - "Total : 1.54129 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000917337 [ 0.07 %]\n", + "Velocity : 0.00394975 [ 0.30 %]\n", + "Force : 0.47377 [ 35.84 %]\n", + "Coefs : 0.177229 [ 13.41 %]\n", + "Output : 0.0111717 [ 0.85 %]\n", + "Levels : 0.000325979 [ 0.02 %]\n", + "Report : 1.082e-06 [ 0.00 %]\n", + "Balance : 6.95e-07 [ 0.00 %]\n", + "Adjust : 0.653981 [ 49.47 %]\n", + "Total : 1.32184 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.0%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.7109e-03 sec\n", - "--- Collate = 8.4023e-05 sec\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.5788e-03 sec\n", + "--- Collate = 5.6688e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.402364e-02 > 2.000000e-03 [41801]\n", + "--- Max DT=2.403142e-02 > 2.000000e-03 [41798]\n", "----------------------------------------------------------------------\n", - " Component | high: 41801/60000\n", + " Component | high: 41798/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.518] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00144262 [ 0.10 %]\n", - "Velocity : 0.00654276 [ 0.43 %]\n", - "Force : 0.535441 [ 35.48 %]\n", - "Coefs : 0.204168 [ 13.53 %]\n", - "Output : 0.0141818 [ 0.94 %]\n", - "Levels : 0.000609209 [ 0.04 %]\n", - "Report : 1.459e-06 [ 0.00 %]\n", - "Balance : 8.34e-07 [ 0.00 %]\n", - "Adjust : 0.745914 [ 49.43 %]\n", - "Total : 1.50901 [100.00 %]\n", + "Drift : 0.000946549 [ 0.07 %]\n", + "Velocity : 0.00411538 [ 0.32 %]\n", + "Force : 0.464931 [ 35.61 %]\n", + "Coefs : 0.174174 [ 13.34 %]\n", + "Output : 0.0121554 [ 0.93 %]\n", + "Levels : 0.000588412 [ 0.05 %]\n", + "Report : 1.311e-06 [ 0.00 %]\n", + "Balance : 6.28e-07 [ 0.00 %]\n", + "Adjust : 0.648266 [ 49.65 %]\n", + "Total : 1.30571 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.4%\n", + "--- Coef/DT = 4.0%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 9.8570e-03 sec\n", - "--- Collate = 8.3172e-05 sec\n", + "--- Update = 7.9614e-03 sec\n", + "--- Collate = 7.6850e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.402455e-02 > 2.000000e-03 [41794]\n", + "--- Max DT=2.402996e-02 > 2.000000e-03 [41795]\n", "----------------------------------------------------------------------\n", - " Component | high: 41794/60000\n", + " Component | high: 41795/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.52] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00146096 [ 0.09 %]\n", - "Velocity : 0.00679336 [ 0.41 %]\n", - "Force : 0.533907 [ 32.42 %]\n", - "Coefs : 0.204214 [ 12.40 %]\n", - "Output : 0.141863 [ 8.61 %]\n", - "Levels : 0.000508267 [ 0.03 %]\n", - "Report : 1.206e-06 [ 0.00 %]\n", - "Balance : 6.56e-07 [ 0.00 %]\n", - "Adjust : 0.757267 [ 45.99 %]\n", - "Total : 1.64674 [100.00 %]\n", + "Drift : 0.00110878 [ 0.08 %]\n", + "Velocity : 0.00427096 [ 0.30 %]\n", + "Force : 0.45582 [ 32.34 %]\n", + "Coefs : 0.168575 [ 11.96 %]\n", + "Output : 0.146407 [ 10.39 %]\n", + "Levels : 0.00063752 [ 0.05 %]\n", + "Report : 1.417e-06 [ 0.00 %]\n", + "Balance : 5.8e-07 [ 0.00 %]\n", + "Adjust : 0.631968 [ 44.84 %]\n", + "Total : 1.40931 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.2%\n", + "--- Coef/DT = 5.8%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 9.0966e-03 sec\n", - "--- Collate = 7.6790e-05 sec\n", + "--- Update = 9.1330e-03 sec\n", + "--- Collate = 7.5906e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.608251e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.402406e-02 > 2.000000e-03 [41799]\n", + "--- Max DT=2.402565e-02 > 2.000000e-03 [41789]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41799/60000\n", + " Component | high: 41789/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.522] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0015049 [ 0.08 %]\n", - "Velocity : 0.00626374 [ 0.34 %]\n", - "Force : 0.594148 [ 32.24 %]\n", - "Coefs : 0.282986 [ 15.36 %]\n", - "Output : 0.0144432 [ 0.78 %]\n", - "Levels : 0.000453568 [ 0.02 %]\n", - "Report : 1.54e-06 [ 0.00 %]\n", - "Balance : 6.19e-07 [ 0.00 %]\n", - "Adjust : 0.942263 [ 51.13 %]\n", - "Total : 1.84279 [100.00 %]\n", + "Drift : 0.00139278 [ 0.11 %]\n", + "Velocity : 0.00511172 [ 0.39 %]\n", + "Force : 0.475162 [ 35.91 %]\n", + "Coefs : 0.172579 [ 13.04 %]\n", + "Output : 0.015824 [ 1.20 %]\n", + "Levels : 0.000448691 [ 0.03 %]\n", + "Report : 1.372e-06 [ 0.00 %]\n", + "Balance : 6.88e-07 [ 0.00 %]\n", + "Adjust : 0.652141 [ 49.28 %]\n", + "Total : 1.32327 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.8%\n", - "--- Adj/Tot = 1.4%\n", - "--- Update = 1.0135e-02 sec\n", - "--- Collate = 9.7189e-05 sec\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.9784e-03 sec\n", + "--- Collate = 8.1022e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.402114e-02 > 2.000000e-03 [41771]\n", + "--- Max DT=2.402143e-02 > 2.000000e-03 [41771]\n", "----------------------------------------------------------------------\n", " Component | high: 41771/60000\n", " Component | high: 0/20000\n", @@ -8880,160 +8837,172 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.524] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00105962 [ 0.07 %]\n", - "Velocity : 0.00465642 [ 0.31 %]\n", - "Force : 0.532361 [ 34.95 %]\n", - "Coefs : 0.20977 [ 13.77 %]\n", - "Output : 0.0143117 [ 0.94 %]\n", - "Levels : 0.000385688 [ 0.03 %]\n", - "Report : 1.599e-06 [ 0.00 %]\n", - "Balance : 5.89e-07 [ 0.00 %]\n", - "Adjust : 0.759816 [ 49.89 %]\n", - "Total : 1.52305 [100.00 %]\n", + "Drift : 0.0011385 [ 0.08 %]\n", + "Velocity : 0.00480925 [ 0.35 %]\n", + "Force : 0.479856 [ 35.41 %]\n", + "Coefs : 0.179133 [ 13.22 %]\n", + "Output : 0.0126292 [ 0.93 %]\n", + "Levels : 0.000370342 [ 0.03 %]\n", + "Report : 1.583e-06 [ 0.00 %]\n", + "Balance : 7.1e-07 [ 0.00 %]\n", + "Adjust : 0.676655 [ 49.93 %]\n", + "Total : 1.3552 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.2%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.2150e-02 sec\n", - "--- Collate = 6.6047e-05 sec\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.7997e-03 sec\n", + "--- Collate = 8.2378e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.594999e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.401586e-02 > 2.000000e-03 [41760]\n", + "--- Min DT=3.043717e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.401598e-02 > 2.000000e-03 [41757]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41760/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41757/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.526] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00114166 [ 0.07 %]\n", - "Velocity : 0.00547128 [ 0.35 %]\n", - "Force : 0.548192 [ 35.44 %]\n", - "Coefs : 0.213808 [ 13.82 %]\n", - "Output : 0.0169645 [ 1.10 %]\n", - "Levels : 0.000614284 [ 0.04 %]\n", - "Report : 1.999e-06 [ 0.00 %]\n", - "Balance : 9.17e-07 [ 0.00 %]\n", - "Adjust : 0.759689 [ 49.12 %]\n", - "Total : 1.54666 [100.00 %]\n", + "Drift : 0.00104218 [ 0.08 %]\n", + "Velocity : 0.00460314 [ 0.35 %]\n", + "Force : 0.473261 [ 35.87 %]\n", + "Coefs : 0.177105 [ 13.42 %]\n", + "Output : 0.0138809 [ 1.05 %]\n", + "Levels : 0.000440233 [ 0.03 %]\n", + "Report : 1.389e-06 [ 0.00 %]\n", + "Balance : 5.91e-07 [ 0.00 %]\n", + "Adjust : 0.64841 [ 49.15 %]\n", + "Total : 1.31929 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.5%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 8.5475e-03 sec\n", - "--- Collate = 7.3445e-05 sec\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 9.3864e-03 sec\n", + "--- Collate = 8.8289e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.400899e-02 > 2.000000e-03 [41768]\n", + "--- Min DT=3.281916e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.401642e-02 > 2.000000e-03 [41767]\n", "----------------------------------------------------------------------\n", - " Component | high: 41768/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41767/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.528] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00139511 [ 0.09 %]\n", - "Velocity : 0.0069392 [ 0.44 %]\n", - "Force : 0.539895 [ 34.50 %]\n", - "Coefs : 0.218749 [ 13.98 %]\n", - "Output : 0.0196079 [ 1.25 %]\n", - "Levels : 0.000629993 [ 0.04 %]\n", - "Report : 1.449e-06 [ 0.00 %]\n", - "Balance : 8.02e-07 [ 0.00 %]\n", - "Adjust : 0.777104 [ 49.65 %]\n", - "Total : 1.56503 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00114992 [ 0.09 %]\n", + "Velocity : 0.00496064 [ 0.37 %]\n", + "Force : 0.485255 [ 36.15 %]\n", + "Coefs : 0.176373 [ 13.14 %]\n", + "Output : 0.0131845 [ 0.98 %]\n", + "Levels : 0.00039869 [ 0.03 %]\n", + "Report : 1.428e-06 [ 0.00 %]\n", + "Balance : 6.17e-07 [ 0.00 %]\n", + "Adjust : 0.660492 [ 49.20 %]\n", + "Total : 1.34239 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.6%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.2954e-03 sec\n", - "--- Collate = 7.8015e-05 sec\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.9868e-03 sec\n", + "--- Collate = 7.6189e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.400752e-02 > 2.000000e-03 [41768]\n", + "--- Min DT=2.160302e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.401969e-02 > 2.000000e-03 [41761]\n", "----------------------------------------------------------------------\n", - " Component | high: 41768/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41761/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.53] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00190378 [ 0.12 %]\n", - "Velocity : 0.00901842 [ 0.57 %]\n", - "Force : 0.543958 [ 34.10 %]\n", - "Coefs : 0.216463 [ 13.57 %]\n", - "Output : 0.0244965 [ 1.54 %]\n", - "Levels : 0.000545286 [ 0.03 %]\n", - "Report : 1.349e-06 [ 0.00 %]\n", - "Balance : 5.89e-07 [ 0.00 %]\n", - "Adjust : 0.798052 [ 50.03 %]\n", - "Total : 1.59512 [100.00 %]\n", + "Drift : 0.000987313 [ 0.08 %]\n", + "Velocity : 0.00434397 [ 0.33 %]\n", + "Force : 0.483459 [ 36.74 %]\n", + "Coefs : 0.173842 [ 13.21 %]\n", + "Output : 0.011307 [ 0.86 %]\n", + "Levels : 0.000342066 [ 0.03 %]\n", + "Report : 1.171e-06 [ 0.00 %]\n", + "Balance : 5.72e-07 [ 0.00 %]\n", + "Adjust : 0.640984 [ 48.71 %]\n", + "Total : 1.31578 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.3%\n", + "--- Coef/DT = 5.6%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.6787e-03 sec\n", - "--- Collate = 7.6949e-05 sec\n", + "--- Update = 8.7573e-03 sec\n", + "--- Collate = 8.4899e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.524648e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.400486e-02 > 2.000000e-03 [41753]\n", + "--- Max DT=2.401928e-02 > 2.000000e-03 [41747]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41753/60000\n", + " Component | high: 41747/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.532] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00195252 [ 0.13 %]\n", - "Velocity : 0.00906971 [ 0.58 %]\n", - "Force : 0.543581 [ 34.82 %]\n", - "Coefs : 0.206491 [ 13.23 %]\n", - "Output : 0.0250102 [ 1.60 %]\n", - "Levels : 0.000583552 [ 0.04 %]\n", - "Report : 1.443e-06 [ 0.00 %]\n", - "Balance : 5.78e-07 [ 0.00 %]\n", - "Adjust : 0.773885 [ 49.57 %]\n", - "Total : 1.56126 [100.00 %]\n", + "Drift : 0.000903395 [ 0.07 %]\n", + "Velocity : 0.00453627 [ 0.35 %]\n", + "Force : 0.455971 [ 35.15 %]\n", + "Coefs : 0.174414 [ 13.44 %]\n", + "Output : 0.0119185 [ 0.92 %]\n", + "Levels : 0.000466641 [ 0.04 %]\n", + "Report : 1.12e-06 [ 0.00 %]\n", + "Balance : 5.59e-07 [ 0.00 %]\n", + "Adjust : 0.648631 [ 50.00 %]\n", + "Total : 1.29736 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.1%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.6077e-03 sec\n", - "--- Collate = 1.5555e-04 sec\n", + "--- Coef/DT = 4.6%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7269e-03 sec\n", + "--- Collate = 6.2251e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.399861e-02 > 2.000000e-03 [41757]\n", + "--- Min DT=2.711105e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.401818e-02 > 2.000000e-03 [41757]\n", "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", " Component | high: 41757/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -9041,819 +9010,834 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.534] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00190861 [ 0.12 %]\n", - "Velocity : 0.00881529 [ 0.53 %]\n", - "Force : 0.559371 [ 33.92 %]\n", - "Coefs : 0.213138 [ 12.93 %]\n", - "Output : 0.0249718 [ 1.51 %]\n", - "Levels : 0.000746882 [ 0.05 %]\n", - "Report : 1.44e-06 [ 0.00 %]\n", - "Balance : 7.07e-07 [ 0.00 %]\n", - "Adjust : 0.839298 [ 50.90 %]\n", - "Total : 1.64898 [100.00 %]\n", + "Drift : 0.00103191 [ 0.08 %]\n", + "Velocity : 0.00402448 [ 0.31 %]\n", + "Force : 0.464145 [ 35.77 %]\n", + "Coefs : 0.171393 [ 13.21 %]\n", + "Output : 0.0136162 [ 1.05 %]\n", + "Levels : 0.000355255 [ 0.03 %]\n", + "Report : 1.138e-06 [ 0.00 %]\n", + "Balance : 5.73e-07 [ 0.00 %]\n", + "Adjust : 0.642643 [ 49.52 %]\n", + "Total : 1.29776 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.2%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.0623e-02 sec\n", - "--- Collate = 7.5926e-05 sec\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.6230e-03 sec\n", + "--- Collate = 1.1237e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.399843e-02 > 2.000000e-03 [41753]\n", + "--- Max DT=2.401610e-02 > 2.000000e-03 [41759]\n", "----------------------------------------------------------------------\n", - " Component | high: 41753/60000\n", + " Component | high: 41759/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.536] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00143893 [ 0.09 %]\n", - "Velocity : 0.00784128 [ 0.52 %]\n", - "Force : 0.527794 [ 34.81 %]\n", - "Coefs : 0.207504 [ 13.68 %]\n", - "Output : 0.0216039 [ 1.42 %]\n", - "Levels : 0.00053991 [ 0.04 %]\n", - "Report : 2.158e-06 [ 0.00 %]\n", - "Balance : 9.66e-07 [ 0.00 %]\n", - "Adjust : 0.748821 [ 49.38 %]\n", - "Total : 1.51636 [100.00 %]\n", + "Drift : 0.00121502 [ 0.10 %]\n", + "Velocity : 0.00439448 [ 0.37 %]\n", + "Force : 0.410282 [ 34.66 %]\n", + "Coefs : 0.159695 [ 13.49 %]\n", + "Output : 0.0139544 [ 1.18 %]\n", + "Levels : 0.000488215 [ 0.04 %]\n", + "Report : 1.51e-06 [ 0.00 %]\n", + "Balance : 7.32e-07 [ 0.00 %]\n", + "Adjust : 0.593006 [ 50.10 %]\n", + "Total : 1.18363 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.4%\n", - "--- Adj/Tot = 1.4%\n", - "--- Update = 1.2024e-02 sec\n", - "--- Collate = 5.5740e-05 sec\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6224e-03 sec\n", + "--- Collate = 5.8641e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.408617e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.400126e-02 > 2.000000e-03 [41754]\n", + "--- Min DT=3.309416e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.400987e-02 > 2.000000e-03 [41755]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41754/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41755/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.538] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00159121 [ 0.09 %]\n", - "Velocity : 0.00760047 [ 0.41 %]\n", - "Force : 0.615194 [ 33.47 %]\n", - "Coefs : 0.251361 [ 13.68 %]\n", - "Output : 0.022229 [ 1.21 %]\n", - "Levels : 0.000544639 [ 0.03 %]\n", - "Report : 1.104e-06 [ 0.00 %]\n", - "Balance : 5.62e-07 [ 0.00 %]\n", - "Adjust : 0.938515 [ 51.06 %]\n", - "Total : 1.8379 [100.00 %]\n", + "Drift : 0.00154008 [ 0.11 %]\n", + "Velocity : 0.00680504 [ 0.50 %]\n", + "Force : 0.47652 [ 35.27 %]\n", + "Coefs : 0.173882 [ 12.87 %]\n", + "Output : 0.020642 [ 1.53 %]\n", + "Levels : 0.000554482 [ 0.04 %]\n", + "Report : 1.069e-06 [ 0.00 %]\n", + "Balance : 7.97e-07 [ 0.00 %]\n", + "Adjust : 0.670564 [ 49.63 %]\n", + "Total : 1.35114 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.1%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.5161e-03 sec\n", - "--- Collate = 5.3715e-05 sec\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 9.6050e-03 sec\n", + "--- Collate = 6.9609e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.721784e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.400254e-02 > 2.000000e-03 [41749]\n", + "--- Min DT=3.461178e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.400997e-02 > 2.000000e-03 [41750]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41749/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41750/60000\n", " Component | high: 0/20000\n", - "----------------------------------------------------------------------\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.54] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00197125 [ 0.11 %]\n", - "Velocity : 0.00885564 [ 0.51 %]\n", - "Force : 0.546033 [ 31.46 %]\n", - "Coefs : 0.227849 [ 13.13 %]\n", - "Output : 0.143585 [ 8.27 %]\n", - "Levels : 0.0005712 [ 0.03 %]\n", - "Report : 7.4e-07 [ 0.00 %]\n", - "Balance : 5.57e-07 [ 0.00 %]\n", - "Adjust : 0.806259 [ 46.45 %]\n", - "Total : 1.73579 [100.00 %]\n", + "Drift : 0.00144587 [ 0.11 %]\n", + "Velocity : 0.0067641 [ 0.50 %]\n", + "Force : 0.411198 [ 30.51 %]\n", + "Coefs : 0.154902 [ 11.49 %]\n", + "Output : 0.145331 [ 10.78 %]\n", + "Levels : 0.000627422 [ 0.05 %]\n", + "Report : 1.089e-06 [ 0.00 %]\n", + "Balance : 5.54e-07 [ 0.00 %]\n", + "Adjust : 0.627068 [ 46.52 %]\n", + "Total : 1.34792 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.5%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.0018e-02 sec\n", - "--- Collate = 7.5182e-05 sec\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.4889e-03 sec\n", + "--- Collate = 7.7356e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.043552e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.400026e-02 > 2.000000e-03 [41744]\n", + "--- Max DT=2.401287e-02 > 2.000000e-03 [41748]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41744/60000\n", + " Component | high: 41748/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.542] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00168852 [ 0.11 %]\n", - "Velocity : 0.00607923 [ 0.40 %]\n", - "Force : 0.539823 [ 35.14 %]\n", - "Coefs : 0.212259 [ 13.82 %]\n", - "Output : 0.0157256 [ 1.02 %]\n", - "Levels : 0.000323448 [ 0.02 %]\n", - "Report : 1.402e-06 [ 0.00 %]\n", - "Balance : 6.44e-07 [ 0.00 %]\n", - "Adjust : 0.759534 [ 49.44 %]\n", - "Total : 1.53613 [100.00 %]\n", + "Drift : 0.00192567 [ 0.14 %]\n", + "Velocity : 0.0079139 [ 0.56 %]\n", + "Force : 0.496455 [ 35.12 %]\n", + "Coefs : 0.181696 [ 12.85 %]\n", + "Output : 0.0209003 [ 1.48 %]\n", + "Levels : 0.000539733 [ 0.04 %]\n", + "Report : 1.323e-06 [ 0.00 %]\n", + "Balance : 4.91e-07 [ 0.00 %]\n", + "Adjust : 0.703568 [ 49.77 %]\n", + "Total : 1.41365 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.8%\n", + "--- Coef/DT = 5.1%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0302e-02 sec\n", - "--- Collate = 7.7740e-05 sec\n", + "--- Update = 8.3526e-03 sec\n", + "--- Collate = 6.9625e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.921121e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.400286e-02 > 2.000000e-03 [41743]\n", + "--- Min DT=1.723325e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.401390e-02 > 2.000000e-03 [41740]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41743/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41740/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.544] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00113517 [ 0.07 %]\n", - "Velocity : 0.00477145 [ 0.31 %]\n", - "Force : 0.536119 [ 34.73 %]\n", - "Coefs : 0.219945 [ 14.25 %]\n", - "Output : 0.0137932 [ 0.89 %]\n", - "Levels : 0.000442578 [ 0.03 %]\n", - "Report : 1.477e-06 [ 0.00 %]\n", - "Balance : 7.75e-07 [ 0.00 %]\n", - "Adjust : 0.766775 [ 49.67 %]\n", - "Total : 1.54365 [100.00 %]\n", + "Drift : 0.00105676 [ 0.09 %]\n", + "Velocity : 0.00431634 [ 0.35 %]\n", + "Force : 0.433177 [ 35.55 %]\n", + "Coefs : 0.162234 [ 13.31 %]\n", + "Output : 0.014104 [ 1.16 %]\n", + "Levels : 0.000406675 [ 0.03 %]\n", + "Report : 1.031e-06 [ 0.00 %]\n", + "Balance : 6.46e-07 [ 0.00 %]\n", + "Adjust : 0.602728 [ 49.46 %]\n", + "Total : 1.21858 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.5%\n", - "--- Adj/Tot = 1.4%\n", - "--- Update = 1.0331e-02 sec\n", - "--- Collate = 7.6661e-05 sec\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 9.2821e-03 sec\n", + "--- Collate = 6.9656e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.400732e-02 > 2.000000e-03 [41742]\n", + "--- Max DT=2.400961e-02 > 2.000000e-03 [41741]\n", "----------------------------------------------------------------------\n", - " Component | high: 41742/60000\n", - " Component | high: 0/20000\n", + " Component | high: 41740/60000\n", + " Component | high: 1/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.546] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00132094 [ 0.08 %]\n", - "Velocity : 0.0069494 [ 0.42 %]\n", - "Force : 0.582035 [ 34.85 %]\n", - "Coefs : 0.233966 [ 14.01 %]\n", - "Output : 0.0171196 [ 1.03 %]\n", - "Levels : 0.000506249 [ 0.03 %]\n", - "Report : 1.724e-06 [ 0.00 %]\n", - "Balance : 1.591e-06 [ 0.00 %]\n", - "Adjust : 0.827169 [ 49.53 %]\n", - "Total : 1.66991 [100.00 %]\n", + "Drift : 0.00102998 [ 0.08 %]\n", + "Velocity : 0.00468802 [ 0.35 %]\n", + "Force : 0.472811 [ 35.33 %]\n", + "Coefs : 0.180925 [ 13.52 %]\n", + "Output : 0.0160465 [ 1.20 %]\n", + "Levels : 0.00050053 [ 0.04 %]\n", + "Report : 1.261e-06 [ 0.00 %]\n", + "Balance : 4.8e-07 [ 0.00 %]\n", + "Adjust : 0.661806 [ 49.45 %]\n", + "Total : 1.3384 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.5%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.8386e-03 sec\n", - "--- Collate = 6.2813e-05 sec\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 9.2414e-03 sec\n", + "--- Collate = 6.9783e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.750795e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.401183e-02 > 2.000000e-03 [41772]\n", + "--- Max DT=2.400615e-02 > 2.000000e-03 [41769]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41772/60000\n", + " Component | high: 41769/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.548] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00129681 [ 0.08 %]\n", - "Velocity : 0.00470748 [ 0.30 %]\n", - "Force : 0.556896 [ 35.75 %]\n", - "Coefs : 0.216482 [ 13.90 %]\n", - "Output : 0.0136347 [ 0.88 %]\n", - "Levels : 0.000463749 [ 0.03 %]\n", - "Report : 9.76e-07 [ 0.00 %]\n", - "Balance : 5.76e-07 [ 0.00 %]\n", - "Adjust : 0.763698 [ 49.02 %]\n", - "Total : 1.55784 [100.00 %]\n", + "Drift : 0.00145182 [ 0.11 %]\n", + "Velocity : 0.00546169 [ 0.40 %]\n", + "Force : 0.492627 [ 35.76 %]\n", + "Coefs : 0.182073 [ 13.22 %]\n", + "Output : 0.0177532 [ 1.29 %]\n", + "Levels : 0.000383901 [ 0.03 %]\n", + "Report : 1.202e-06 [ 0.00 %]\n", + "Balance : 6.75e-07 [ 0.00 %]\n", + "Adjust : 0.677051 [ 49.15 %]\n", + "Total : 1.37749 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.7%\n", + "--- Coef/DT = 5.5%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.0168e-03 sec\n", - "--- Collate = 7.9642e-05 sec\n", + "--- Update = 9.1761e-03 sec\n", + "--- Collate = 7.7653e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.401782e-02 > 2.000000e-03 [41757]\n", + "--- Min DT=2.782133e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.400181e-02 > 2.000000e-03 [41752]\n", "----------------------------------------------------------------------\n", - " Component | high: 41757/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41752/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.55] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00122368 [ 0.07 %]\n", - "Velocity : 0.0059754 [ 0.32 %]\n", - "Force : 0.61277 [ 33.31 %]\n", - "Coefs : 0.261387 [ 14.21 %]\n", - "Output : 0.0212244 [ 1.15 %]\n", - "Levels : 0.000585976 [ 0.03 %]\n", - "Report : 1.601e-06 [ 0.00 %]\n", - "Balance : 6.85e-07 [ 0.00 %]\n", - "Adjust : 0.935763 [ 50.87 %]\n", - "Total : 1.83969 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00141192 [ 0.09 %]\n", + "Velocity : 0.00607985 [ 0.40 %]\n", + "Force : 0.524591 [ 34.62 %]\n", + "Coefs : 0.196372 [ 12.96 %]\n", + "Output : 0.0213448 [ 1.41 %]\n", + "Levels : 0.000531627 [ 0.04 %]\n", + "Report : 1.722e-06 [ 0.00 %]\n", + "Balance : 6.9e-07 [ 0.00 %]\n", + "Adjust : 0.764193 [ 50.43 %]\n", + "Total : 1.51524 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.3%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 8.4633e-03 sec\n", - "--- Collate = 5.8479e-05 sec\n", + "--- Coef/DT = 6.5%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 9.2848e-03 sec\n", + "--- Collate = 9.6944e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.402015e-02 > 2.000000e-03 [41759]\n", + "--- Min DT=2.255078e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.400344e-02 > 2.000000e-03 [41748]\n", "----------------------------------------------------------------------\n", - " Component | high: 41759/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41748/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.552] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00170049 [ 0.11 %]\n", - "Velocity : 0.00868574 [ 0.55 %]\n", - "Force : 0.538746 [ 34.40 %]\n", - "Coefs : 0.218438 [ 13.95 %]\n", - "Output : 0.0220304 [ 1.41 %]\n", - "Levels : 0.000644458 [ 0.04 %]\n", - "Report : 1.141e-06 [ 0.00 %]\n", - "Balance : 6.12e-07 [ 0.00 %]\n", - "Adjust : 0.775349 [ 49.50 %]\n", - "Total : 1.5663 [100.00 %]\n", + "Drift : 0.00133701 [ 0.10 %]\n", + "Velocity : 0.00496925 [ 0.37 %]\n", + "Force : 0.460078 [ 34.19 %]\n", + "Coefs : 0.235267 [ 17.48 %]\n", + "Output : 0.0146212 [ 1.09 %]\n", + "Levels : 0.000487312 [ 0.04 %]\n", + "Report : 1.89e-06 [ 0.00 %]\n", + "Balance : 6.33e-07 [ 0.00 %]\n", + "Adjust : 0.628418 [ 46.70 %]\n", + "Total : 1.34576 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.7%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.2247e-03 sec\n", - "--- Collate = 7.2561e-05 sec\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.7923e-03 sec\n", + "--- Collate = 9.0437e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.755478e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.402072e-02 > 2.000000e-03 [41755]\n", + "--- Min DT=2.715876e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.400990e-02 > 2.000000e-03 [41753]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 41755/60000\n", + " Component | high: 41753/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.554] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0018281 [ 0.12 %]\n", - "Velocity : 0.00844534 [ 0.55 %]\n", - "Force : 0.540749 [ 35.11 %]\n", - "Coefs : 0.210362 [ 13.66 %]\n", - "Output : 0.0232069 [ 1.51 %]\n", - "Levels : 0.000544732 [ 0.04 %]\n", - "Report : 1.245e-06 [ 0.00 %]\n", - "Balance : 6.87e-07 [ 0.00 %]\n", - "Adjust : 0.754512 [ 48.98 %]\n", - "Total : 1.54034 [100.00 %]\n", + "Drift : 0.00152697 [ 0.10 %]\n", + "Velocity : 0.00657939 [ 0.44 %]\n", + "Force : 0.49279 [ 32.75 %]\n", + "Coefs : 0.26789 [ 17.81 %]\n", + "Output : 0.0189775 [ 1.26 %]\n", + "Levels : 0.000508197 [ 0.03 %]\n", + "Report : 1.778e-06 [ 0.00 %]\n", + "Balance : 7.07e-07 [ 0.00 %]\n", + "Adjust : 0.715533 [ 47.56 %]\n", + "Total : 1.50448 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.6%\n", + "--- Coef/DT = 5.8%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 9.3390e-03 sec\n", - "--- Collate = 7.0202e-05 sec\n", + "--- Update = 9.3274e-03 sec\n", + "--- Collate = 7.8948e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.067183e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.402312e-02 > 2.000000e-03 [41772]\n", + "--- Min DT=2.424064e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.401129e-02 > 2.000000e-03 [41774]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41771/60000\n", - " Component | high: 1/20000\n", + " Component | low: 2/20000\n", + " Component | high: 41774/60000\n", + " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.556] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00173296 [ 0.11 %]\n", - "Velocity : 0.00765397 [ 0.47 %]\n", - "Force : 0.557177 [ 33.87 %]\n", - "Coefs : 0.226515 [ 13.77 %]\n", - "Output : 0.0219972 [ 1.34 %]\n", - "Levels : 0.000665367 [ 0.04 %]\n", - "Report : 1.657e-06 [ 0.00 %]\n", - "Balance : 9.96e-07 [ 0.00 %]\n", - "Adjust : 0.828707 [ 50.37 %]\n", - "Total : 1.6452 [100.00 %]\n", + "Drift : 0.00176246 [ 0.12 %]\n", + "Velocity : 0.00662551 [ 0.44 %]\n", + "Force : 0.532968 [ 35.24 %]\n", + "Coefs : 0.200538 [ 13.26 %]\n", + "Output : 0.0239333 [ 1.58 %]\n", + "Levels : 0.000513305 [ 0.03 %]\n", + "Report : 1.715e-06 [ 0.00 %]\n", + "Balance : 5.91e-07 [ 0.00 %]\n", + "Adjust : 0.745125 [ 49.27 %]\n", + "Total : 1.51224 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.6%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 8.6414e-03 sec\n", - "--- Collate = 7.0973e-05 sec\n", + "--- Coef/DT = 6.4%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 9.2744e-03 sec\n", + "--- Collate = 1.1421e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.402081e-02 > 2.000000e-03 [41783]\n", + "--- Min DT=2.049023e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.401466e-02 > 2.000000e-03 [41784]\n", "----------------------------------------------------------------------\n", - " Component | high: 41783/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41784/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.558] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00179927 [ 0.12 %]\n", - "Velocity : 0.00896934 [ 0.58 %]\n", - "Force : 0.529955 [ 34.16 %]\n", - "Coefs : 0.225162 [ 14.51 %]\n", - "Output : 0.0252693 [ 1.63 %]\n", - "Levels : 0.000701024 [ 0.05 %]\n", - "Report : 1.465e-06 [ 0.00 %]\n", - "Balance : 7.98e-07 [ 0.00 %]\n", - "Adjust : 0.758899 [ 48.91 %]\n", - "Total : 1.55149 [100.00 %]\n", + "Drift : 0.0015476 [ 0.10 %]\n", + "Velocity : 0.00650842 [ 0.43 %]\n", + "Force : 0.526831 [ 34.65 %]\n", + "Coefs : 0.194873 [ 12.82 %]\n", + "Output : 0.0204812 [ 1.35 %]\n", + "Levels : 0.000400248 [ 0.03 %]\n", + "Report : 1.348e-06 [ 0.00 %]\n", + "Balance : 7.56e-07 [ 0.00 %]\n", + "Adjust : 0.769281 [ 50.59 %]\n", + "Total : 1.52065 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.6%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.0236e-03 sec\n", - "--- Collate = 5.7332e-05 sec\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.6341e-03 sec\n", + "--- Collate = 7.7250e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.032275e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.401482e-02 > 2.000000e-03 [41759]\n", + "--- Max DT=2.401572e-02 > 2.000000e-03 [41769]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41759/60000\n", + " Component | high: 41769/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.56] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00194782 [ 0.12 %]\n", - "Velocity : 0.00851135 [ 0.53 %]\n", - "Force : 0.517911 [ 32.12 %]\n", - "Coefs : 0.18851 [ 11.69 %]\n", - "Output : 0.154276 [ 9.57 %]\n", - "Levels : 0.0024131 [ 0.15 %]\n", - "Report : 1.825e-06 [ 0.00 %]\n", - "Balance : 8.87e-07 [ 0.00 %]\n", - "Adjust : 0.738199 [ 45.78 %]\n", - "Total : 1.61244 [100.00 %]\n", + "Drift : 0.00123617 [ 0.08 %]\n", + "Velocity : 0.00486137 [ 0.33 %]\n", + "Force : 0.484361 [ 32.67 %]\n", + "Coefs : 0.180115 [ 12.15 %]\n", + "Output : 0.134959 [ 9.10 %]\n", + "Levels : 0.000589017 [ 0.04 %]\n", + "Report : 1.384e-06 [ 0.00 %]\n", + "Balance : 7.23e-07 [ 0.00 %]\n", + "Adjust : 0.675894 [ 45.59 %]\n", + "Total : 1.48264 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.2%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.1285e-03 sec\n", - "--- Collate = 7.8254e-05 sec\n", + "--- Coef/DT = 6.7%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 9.2087e-03 sec\n", + "--- Collate = 8.3634e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.719246e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.400999e-02 > 2.000000e-03 [41779]\n", + "--- Max DT=2.401150e-02 > 2.000000e-03 [41775]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41779/60000\n", + " Component | high: 41775/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.562] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00168033 [ 0.10 %]\n", - "Velocity : 0.00874734 [ 0.50 %]\n", - "Force : 0.571676 [ 32.49 %]\n", - "Coefs : 0.249347 [ 14.17 %]\n", - "Output : 0.0265644 [ 1.51 %]\n", - "Levels : 0.000601512 [ 0.03 %]\n", - "Report : 9.85e-07 [ 0.00 %]\n", - "Balance : 5.37e-07 [ 0.00 %]\n", - "Adjust : 0.899982 [ 51.15 %]\n", - "Total : 1.75933 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00135479 [ 0.10 %]\n", + "Velocity : 0.00538371 [ 0.38 %]\n", + "Force : 0.505854 [ 35.73 %]\n", + "Coefs : 0.182975 [ 12.92 %]\n", + "Output : 0.0186868 [ 1.32 %]\n", + "Levels : 0.000625498 [ 0.04 %]\n", + "Report : 1.306e-06 [ 0.00 %]\n", + "Balance : 5.7e-07 [ 0.00 %]\n", + "Adjust : 0.700292 [ 49.46 %]\n", + "Total : 1.41588 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.8%\n", + "--- Coef/DT = 4.2%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.2589e-03 sec\n", - "--- Collate = 7.4868e-05 sec\n", + "--- Update = 7.5749e-03 sec\n", + "--- Collate = 9.2095e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.522057e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.400462e-02 > 2.000000e-03 [41780]\n", + "--- Max DT=2.400778e-02 > 2.000000e-03 [41774]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41780/60000\n", + " Component | high: 41774/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.564] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0017293 [ 0.11 %]\n", - "Velocity : 0.0075092 [ 0.49 %]\n", - "Force : 0.523018 [ 33.80 %]\n", - "Coefs : 0.204952 [ 13.24 %]\n", - "Output : 0.0234595 [ 1.52 %]\n", - "Levels : 0.000569963 [ 0.04 %]\n", - "Report : 1.468e-06 [ 0.00 %]\n", - "Balance : 5.62e-07 [ 0.00 %]\n", - "Adjust : 0.785489 [ 50.76 %]\n", - "Total : 1.54743 [100.00 %]\n", + "Drift : 0.00128506 [ 0.10 %]\n", + "Velocity : 0.00406751 [ 0.33 %]\n", + "Force : 0.431931 [ 35.28 %]\n", + "Coefs : 0.166279 [ 13.58 %]\n", + "Output : 0.0138235 [ 1.13 %]\n", + "Levels : 0.000546928 [ 0.04 %]\n", + "Report : 8.69e-07 [ 0.00 %]\n", + "Balance : 4.87e-07 [ 0.00 %]\n", + "Adjust : 0.60565 [ 49.47 %]\n", + "Total : 1.22417 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.5%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.2651e-03 sec\n", - "--- Collate = 7.7310e-05 sec\n", + "--- Coef/DT = 6.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.2414e-03 sec\n", + "--- Collate = 7.5987e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.400380e-02 > 2.000000e-03 [41762]\n", + "--- Min DT=3.319099e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.400374e-02 > 2.000000e-03 [41754]\n", "----------------------------------------------------------------------\n", - " Component | high: 41762/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41754/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.566] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00190365 [ 0.12 %]\n", - "Velocity : 0.00884146 [ 0.57 %]\n", - "Force : 0.532215 [ 34.30 %]\n", - "Coefs : 0.204798 [ 13.20 %]\n", - "Output : 0.0238673 [ 1.54 %]\n", - "Levels : 0.000637244 [ 0.04 %]\n", - "Report : 1.178e-06 [ 0.00 %]\n", - "Balance : 6.39e-07 [ 0.00 %]\n", - "Adjust : 0.778489 [ 50.18 %]\n", - "Total : 1.55146 [100.00 %]\n", + "Drift : 0.000955561 [ 0.07 %]\n", + "Velocity : 0.00404837 [ 0.31 %]\n", + "Force : 0.451923 [ 34.99 %]\n", + "Coefs : 0.17402 [ 13.47 %]\n", + "Output : 0.0125717 [ 0.97 %]\n", + "Levels : 0.000358483 [ 0.03 %]\n", + "Report : 1.412e-06 [ 0.00 %]\n", + "Balance : 6.37e-07 [ 0.00 %]\n", + "Adjust : 0.647177 [ 50.11 %]\n", + "Total : 1.29158 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.2%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 8.9481e-03 sec\n", - "--- Collate = 6.9765e-05 sec\n", + "--- Coef/DT = 6.6%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 8.9910e-03 sec\n", + "--- Collate = 9.0122e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.400041e-02 > 2.000000e-03 [41768]\n", + "--- Max DT=2.399858e-02 > 2.000000e-03 [41756]\n", "----------------------------------------------------------------------\n", - " Component | high: 41768/60000\n", + " Component | high: 41756/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.568] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00194636 [ 0.12 %]\n", - "Velocity : 0.00825437 [ 0.52 %]\n", - "Force : 0.552982 [ 35.14 %]\n", - "Coefs : 0.208829 [ 13.27 %]\n", - "Output : 0.025056 [ 1.59 %]\n", - "Levels : 0.000640906 [ 0.04 %]\n", - "Report : 1.062e-06 [ 0.00 %]\n", - "Balance : 7.03e-07 [ 0.00 %]\n", - "Adjust : 0.775258 [ 49.26 %]\n", - "Total : 1.57368 [100.00 %]\n", + "Drift : 0.00107054 [ 0.08 %]\n", + "Velocity : 0.00454855 [ 0.35 %]\n", + "Force : 0.461338 [ 35.98 %]\n", + "Coefs : 0.171057 [ 13.34 %]\n", + "Output : 0.01255 [ 0.98 %]\n", + "Levels : 0.000538055 [ 0.04 %]\n", + "Report : 1.367e-06 [ 0.00 %]\n", + "Balance : 5.41e-07 [ 0.00 %]\n", + "Adjust : 0.630573 [ 49.18 %]\n", + "Total : 1.2822 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.9%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.4183e-03 sec\n", - "--- Collate = 9.7452e-05 sec\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.8767e-03 sec\n", + "--- Collate = 1.2826e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.406162e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.399291e-02 > 2.000000e-03 [41767]\n", + "--- Max DT=2.399544e-02 > 2.000000e-03 [41761]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41767/60000\n", + " Component | high: 41761/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.57] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00189942 [ 0.12 %]\n", - "Velocity : 0.00845683 [ 0.54 %]\n", - "Force : 0.538848 [ 34.63 %]\n", - "Coefs : 0.213458 [ 13.72 %]\n", - "Output : 0.0250512 [ 1.61 %]\n", - "Levels : 0.000711138 [ 0.05 %]\n", - "Report : 1.611e-06 [ 0.00 %]\n", - "Balance : 8.19e-07 [ 0.00 %]\n", - "Adjust : 0.766946 [ 49.29 %]\n", - "Total : 1.5561 [100.00 %]\n", + "Drift : 0.00124297 [ 0.09 %]\n", + "Velocity : 0.00527386 [ 0.39 %]\n", + "Force : 0.46108 [ 34.52 %]\n", + "Coefs : 0.174717 [ 13.08 %]\n", + "Output : 0.0171717 [ 1.29 %]\n", + "Levels : 0.00909393 [ 0.68 %]\n", + "Report : 1.556e-06 [ 0.00 %]\n", + "Balance : 7.85e-07 [ 0.00 %]\n", + "Adjust : 0.666589 [ 49.90 %]\n", + "Total : 1.33582 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.1%\n", + "--- Coef/DT = 5.7%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 9.0927e-03 sec\n", - "--- Collate = 9.3196e-05 sec\n", + "--- Update = 7.6949e-03 sec\n", + "--- Collate = 8.5576e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.399155e-02 > 2.000000e-03 [41765]\n", + "--- Min DT=2.337309e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.399333e-02 > 2.000000e-03 [41761]\n", "----------------------------------------------------------------------\n", - " Component | high: 41765/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41761/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.572] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00200671 [ 0.13 %]\n", - "Velocity : 0.00938864 [ 0.59 %]\n", - "Force : 0.552833 [ 34.79 %]\n", - "Coefs : 0.206029 [ 12.97 %]\n", - "Output : 0.0254954 [ 1.60 %]\n", - "Levels : 0.000664403 [ 0.04 %]\n", - "Report : 8.27e-07 [ 0.00 %]\n", - "Balance : 5.05e-07 [ 0.00 %]\n", - "Adjust : 0.791929 [ 49.84 %]\n", - "Total : 1.58901 [100.00 %]\n", + "Drift : 0.00141948 [ 0.09 %]\n", + "Velocity : 0.00516197 [ 0.34 %]\n", + "Force : 0.514781 [ 33.68 %]\n", + "Coefs : 0.250382 [ 16.38 %]\n", + "Output : 0.0127007 [ 0.83 %]\n", + "Levels : 0.000385366 [ 0.03 %]\n", + "Report : 1.174e-06 [ 0.00 %]\n", + "Balance : 3.91e-07 [ 0.00 %]\n", + "Adjust : 0.743248 [ 48.62 %]\n", + "Total : 1.52867 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.0%\n", + "--- Coef/DT = 5.2%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 9.3024e-03 sec\n", - "--- Collate = 8.2398e-05 sec\n", + "--- Update = 8.6789e-03 sec\n", + "--- Collate = 8.3851e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.752664e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.398924e-02 > 2.000000e-03 [41764]\n", + "--- Max DT=2.398842e-02 > 2.000000e-03 [41761]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41764/60000\n", + " Component | high: 41761/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.574] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00200124 [ 0.13 %]\n", - "Velocity : 0.00913908 [ 0.59 %]\n", - "Force : 0.540009 [ 34.78 %]\n", - "Coefs : 0.212082 [ 13.66 %]\n", - "Output : 0.0249654 [ 1.61 %]\n", - "Levels : 0.000720466 [ 0.05 %]\n", - "Report : 1.004e-06 [ 0.00 %]\n", - "Balance : 5.99e-07 [ 0.00 %]\n", - "Adjust : 0.762964 [ 49.14 %]\n", - "Total : 1.5526 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000981452 [ 0.08 %]\n", + "Velocity : 0.00426803 [ 0.33 %]\n", + "Force : 0.45456 [ 35.28 %]\n", + "Coefs : 0.171505 [ 13.31 %]\n", + "Output : 0.0137862 [ 1.07 %]\n", + "Levels : 0.000467576 [ 0.04 %]\n", + "Report : 1.61e-06 [ 0.00 %]\n", + "Balance : 5.01e-07 [ 0.00 %]\n", + "Adjust : 0.642146 [ 49.85 %]\n", + "Total : 1.28825 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.6%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.4700e-03 sec\n", - "--- Collate = 8.5014e-05 sec\n", + "--- Coef/DT = 10.7%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.0057e-03 sec\n", + "--- Collate = 7.1950e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.398616e-02 > 2.000000e-03 [41765]\n", + "--- Min DT=3.653641e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.398508e-02 > 2.000000e-03 [41761]\n", "----------------------------------------------------------------------\n", - " Component | high: 41765/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41761/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.576] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00180965 [ 0.12 %]\n", - "Velocity : 0.00948036 [ 0.60 %]\n", - "Force : 0.542131 [ 34.51 %]\n", - "Coefs : 0.217641 [ 13.85 %]\n", - "Output : 0.0257544 [ 1.64 %]\n", - "Levels : 0.00060067 [ 0.04 %]\n", - "Report : 1.54e-06 [ 0.00 %]\n", - "Balance : 7.34e-07 [ 0.00 %]\n", - "Adjust : 0.773026 [ 49.20 %]\n", - "Total : 1.57113 [100.00 %]\n", + "Drift : 0.00114113 [ 0.09 %]\n", + "Velocity : 0.00431926 [ 0.33 %]\n", + "Force : 0.473782 [ 35.67 %]\n", + "Coefs : 0.1796 [ 13.52 %]\n", + "Output : 0.0142548 [ 1.07 %]\n", + "Levels : 0.00037236 [ 0.03 %]\n", + "Report : 1.797e-06 [ 0.00 %]\n", + "Balance : 6.37e-07 [ 0.00 %]\n", + "Adjust : 0.654255 [ 49.26 %]\n", + "Total : 1.32825 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.4%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0049e-02 sec\n", - "--- Collate = 9.6363e-05 sec\n", + "--- Coef/DT = 6.1%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 8.7428e-03 sec\n", + "--- Collate = 1.1245e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.312371e-07 < 7.812500e-06 [2]\n", - "--- Max DT=2.397842e-02 > 2.000000e-03 [41753]\n", + "--- Max DT=2.398358e-02 > 2.000000e-03 [41764]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41753/60000\n", + " Component | high: 41764/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.578] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00168279 [ 0.09 %]\n", - "Velocity : 0.00713208 [ 0.39 %]\n", - "Force : 0.600221 [ 33.03 %]\n", - "Coefs : 0.255075 [ 14.03 %]\n", - "Output : 0.0210522 [ 1.16 %]\n", - "Levels : 0.000565072 [ 0.03 %]\n", - "Report : 1.475e-06 [ 0.00 %]\n", - "Balance : 7.05e-07 [ 0.00 %]\n", - "Adjust : 0.930968 [ 51.22 %]\n", - "Total : 1.81743 [100.00 %]\n", + "Drift : 0.000898911 [ 0.07 %]\n", + "Velocity : 0.00371861 [ 0.29 %]\n", + "Force : 0.449734 [ 35.41 %]\n", + "Coefs : 0.168956 [ 13.30 %]\n", + "Output : 0.0183185 [ 1.44 %]\n", + "Levels : 0.000416716 [ 0.03 %]\n", + "Report : 1.022e-06 [ 0.00 %]\n", + "Balance : 6.03e-07 [ 0.00 %]\n", + "Adjust : 0.62768 [ 49.42 %]\n", + "Total : 1.27022 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.4%\n", + "--- Coef/DT = 5.7%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 9.2979e-03 sec\n", - "--- Collate = 6.6004e-05 sec\n", + "--- Update = 8.1217e-03 sec\n", + "--- Collate = 8.0593e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.397031e-02 > 2.000000e-03 [41729]\n", + "--- Min DT=1.984116e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.398353e-02 > 2.000000e-03 [41736]\n", "----------------------------------------------------------------------\n", - " Component | high: 41729/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41736/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.58] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00116122 [ 0.07 %]\n", - "Velocity : 0.00672399 [ 0.41 %]\n", - "Force : 0.547558 [ 33.10 %]\n", - "Coefs : 0.209356 [ 12.66 %]\n", - "Output : 0.143962 [ 8.70 %]\n", - "Levels : 0.000473403 [ 0.03 %]\n", - "Report : 8.62e-07 [ 0.00 %]\n", - "Balance : 6.93e-07 [ 0.00 %]\n", - "Adjust : 0.74415 [ 44.99 %]\n", - "Total : 1.65411 [100.00 %]\n", + "Drift : 0.00103593 [ 0.08 %]\n", + "Velocity : 0.00406658 [ 0.30 %]\n", + "Force : 0.446343 [ 32.76 %]\n", + "Coefs : 0.169239 [ 12.42 %]\n", + "Output : 0.114032 [ 8.37 %]\n", + "Levels : 0.000368325 [ 0.03 %]\n", + "Report : 1.404e-06 [ 0.00 %]\n", + "Balance : 5.29e-07 [ 0.00 %]\n", + "Adjust : 0.626889 [ 46.01 %]\n", + "Total : 1.3624 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.2%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.4781e-03 sec\n", - "--- Collate = 1.1750e-04 sec\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.9532e-03 sec\n", + "--- Collate = 8.9302e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.673134e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.396793e-02 > 2.000000e-03 [41716]\n", + "--- Max DT=2.397770e-02 > 2.000000e-03 [41713]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41716/60000\n", + " Component | high: 41713/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.582] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00139559 [ 0.09 %]\n", - "Velocity : 0.00693298 [ 0.45 %]\n", - "Force : 0.545247 [ 35.42 %]\n", - "Coefs : 0.211042 [ 13.71 %]\n", - "Output : 0.0150091 [ 0.98 %]\n", - "Levels : 0.000689243 [ 0.04 %]\n", - "Report : 1.706e-06 [ 0.00 %]\n", - "Balance : 6.56e-07 [ 0.00 %]\n", - "Adjust : 0.758201 [ 49.26 %]\n", - "Total : 1.53928 [100.00 %]\n", + "Drift : 0.00108922 [ 0.09 %]\n", + "Velocity : 0.00446346 [ 0.37 %]\n", + "Force : 0.424343 [ 35.36 %]\n", + "Coefs : 0.159529 [ 13.29 %]\n", + "Output : 0.0121159 [ 1.01 %]\n", + "Levels : 0.000448808 [ 0.04 %]\n", + "Report : 1.49e-06 [ 0.00 %]\n", + "Balance : 7.36e-07 [ 0.00 %]\n", + "Adjust : 0.597559 [ 49.80 %]\n", + "Total : 1.20003 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.9%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.6092e-03 sec\n", - "--- Collate = 6.7782e-05 sec\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 8.7764e-03 sec\n", + "--- Collate = 8.2594e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.457092e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.396461e-02 > 2.000000e-03 [41702]\n", + "--- Max DT=2.396825e-02 > 2.000000e-03 [41702]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", " Component | high: 41702/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -9861,355 +9845,373 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.584] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00153465 [ 0.10 %]\n", - "Velocity : 0.00775971 [ 0.51 %]\n", - "Force : 0.543056 [ 35.53 %]\n", - "Coefs : 0.212227 [ 13.89 %]\n", - "Output : 0.0141283 [ 0.92 %]\n", - "Levels : 0.000581259 [ 0.04 %]\n", - "Report : 9.15e-07 [ 0.00 %]\n", - "Balance : 5.89e-07 [ 0.00 %]\n", - "Adjust : 0.748285 [ 48.96 %]\n", - "Total : 1.5283 [100.00 %]\n", + "Drift : 0.00100844 [ 0.08 %]\n", + "Velocity : 0.00395359 [ 0.31 %]\n", + "Force : 0.456021 [ 36.06 %]\n", + "Coefs : 0.168064 [ 13.29 %]\n", + "Output : 0.0103071 [ 0.82 %]\n", + "Levels : 0.000460055 [ 0.04 %]\n", + "Report : 1.377e-06 [ 0.00 %]\n", + "Balance : 3.9e-07 [ 0.00 %]\n", + "Adjust : 0.624167 [ 49.36 %]\n", + "Total : 1.26445 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.2%\n", + "--- Coef/DT = 5.6%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.5829e-03 sec\n", - "--- Collate = 1.4019e-04 sec\n", + "--- Update = 8.4052e-03 sec\n", + "--- Collate = 5.6072e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.311633e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.395969e-02 > 2.000000e-03 [41704]\n", + "--- Min DT=1.245839e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.396201e-02 > 2.000000e-03 [41695]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41704/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41695/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.586] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00137462 [ 0.09 %]\n", - "Velocity : 0.00686368 [ 0.44 %]\n", - "Force : 0.550154 [ 35.58 %]\n", - "Coefs : 0.212494 [ 13.74 %]\n", - "Output : 0.015832 [ 1.02 %]\n", - "Levels : 0.000612682 [ 0.04 %]\n", - "Report : 1.37e-06 [ 0.00 %]\n", - "Balance : 8.46e-07 [ 0.00 %]\n", - "Adjust : 0.758286 [ 49.04 %]\n", - "Total : 1.54634 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000950824 [ 0.08 %]\n", + "Velocity : 0.00387307 [ 0.31 %]\n", + "Force : 0.451504 [ 36.51 %]\n", + "Coefs : 0.162221 [ 13.12 %]\n", + "Output : 0.0123089 [ 1.00 %]\n", + "Levels : 0.00049428 [ 0.04 %]\n", + "Report : 1.509e-06 [ 0.00 %]\n", + "Balance : 5.47e-07 [ 0.00 %]\n", + "Adjust : 0.604757 [ 48.90 %]\n", + "Total : 1.23662 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.8%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.0089e-02 sec\n", - "--- Collate = 1.0770e-04 sec\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.9006e-03 sec\n", + "--- Collate = 9.0365e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.395677e-02 > 2.000000e-03 [41692]\n", + "--- Min DT=2.918792e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.396308e-02 > 2.000000e-03 [41688]\n", "----------------------------------------------------------------------\n", - " Component | high: 41692/60000\n", - " Component | high: 0/20000\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41687/60000\n", + " Component | high: 1/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.588] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00143059 [ 0.09 %]\n", - "Velocity : 0.00708179 [ 0.42 %]\n", - "Force : 0.562697 [ 33.64 %]\n", - "Coefs : 0.232711 [ 13.91 %]\n", - "Output : 0.0166075 [ 0.99 %]\n", - "Levels : 0.000617062 [ 0.04 %]\n", - "Report : 1e-06 [ 0.00 %]\n", - "Balance : 6.59e-07 [ 0.00 %]\n", - "Adjust : 0.850661 [ 50.86 %]\n", - "Total : 1.67255 [100.00 %]\n", + "Drift : 0.00105542 [ 0.08 %]\n", + "Velocity : 0.00415496 [ 0.33 %]\n", + "Force : 0.442173 [ 35.24 %]\n", + "Coefs : 0.165907 [ 13.22 %]\n", + "Output : 0.0132688 [ 1.06 %]\n", + "Levels : 0.000348689 [ 0.03 %]\n", + "Report : 1.504e-06 [ 0.00 %]\n", + "Balance : 7.79e-07 [ 0.00 %]\n", + "Adjust : 0.627178 [ 49.99 %]\n", + "Total : 1.25464 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.6%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.3881e-03 sec\n", - "--- Collate = 8.2623e-05 sec\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.9607e-03 sec\n", + "--- Collate = 9.1440e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.395852e-02 > 2.000000e-03 [41687]\n", + "--- Max DT=2.397192e-02 > 2.000000e-03 [41690]\n", "----------------------------------------------------------------------\n", - " Component | high: 41687/60000\n", + " Component | high: 41690/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.59] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00148397 [ 0.09 %]\n", - "Velocity : 0.00697959 [ 0.44 %]\n", - "Force : 0.558937 [ 35.47 %]\n", - "Coefs : 0.211471 [ 13.42 %]\n", - "Output : 0.0148044 [ 0.94 %]\n", - "Levels : 0.000560995 [ 0.04 %]\n", - "Report : 1.253e-06 [ 0.00 %]\n", - "Balance : 6.37e-07 [ 0.00 %]\n", - "Adjust : 0.780711 [ 49.55 %]\n", - "Total : 1.57567 [100.00 %]\n", + "Drift : 0.000880048 [ 0.07 %]\n", + "Velocity : 0.00401157 [ 0.33 %]\n", + "Force : 0.427746 [ 35.53 %]\n", + "Coefs : 0.160226 [ 13.31 %]\n", + "Output : 0.0105217 [ 0.87 %]\n", + "Levels : 0.00038919 [ 0.03 %]\n", + "Report : 1.4e-06 [ 0.00 %]\n", + "Balance : 7.07e-07 [ 0.00 %]\n", + "Adjust : 0.599498 [ 49.80 %]\n", + "Total : 1.20377 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.6%\n", + "--- Coef/DT = 5.9%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.4502e-03 sec\n", - "--- Collate = 7.9726e-05 sec\n", + "--- Update = 8.0408e-03 sec\n", + "--- Collate = 8.7602e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.396356e-02 > 2.000000e-03 [41694]\n", + "--- Min DT=2.341256e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.397897e-02 > 2.000000e-03 [41696]\n", "----------------------------------------------------------------------\n", - " Component | high: 41694/60000\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41696/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.592] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00141515 [ 0.09 %]\n", - "Velocity : 0.00723828 [ 0.48 %]\n", - "Force : 0.5295 [ 35.23 %]\n", - "Coefs : 0.211304 [ 14.06 %]\n", - "Output : 0.014666 [ 0.98 %]\n", - "Levels : 0.000560732 [ 0.04 %]\n", - "Report : 1.083e-06 [ 0.00 %]\n", - "Balance : 5.14e-07 [ 0.00 %]\n", - "Adjust : 0.73743 [ 49.07 %]\n", - "Total : 1.50282 [100.00 %]\n", + "Drift : 0.000743866 [ 0.06 %]\n", + "Velocity : 0.00330352 [ 0.27 %]\n", + "Force : 0.439048 [ 36.28 %]\n", + "Coefs : 0.16152 [ 13.35 %]\n", + "Output : 0.00975558 [ 0.81 %]\n", + "Levels : 0.000498119 [ 0.04 %]\n", + "Report : 1.28e-06 [ 0.00 %]\n", + "Balance : 4.03e-07 [ 0.00 %]\n", + "Adjust : 0.59497 [ 49.16 %]\n", + "Total : 1.21027 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.2%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.6317e-03 sec\n", - "--- Collate = 1.1152e-04 sec\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 8.7926e-03 sec\n", + "--- Collate = 6.3540e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.872135e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.397198e-02 > 2.000000e-03 [41702]\n", + "--- Max DT=2.398263e-02 > 2.000000e-03 [41706]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41702/60000\n", + " Component | high: 41706/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.594] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00130213 [ 0.08 %]\n", - "Velocity : 0.00683446 [ 0.44 %]\n", - "Force : 0.542065 [ 34.92 %]\n", - "Coefs : 0.206853 [ 13.33 %]\n", - "Output : 0.0148973 [ 0.96 %]\n", - "Levels : 0.000661538 [ 0.04 %]\n", - "Report : 1.371e-06 [ 0.00 %]\n", - "Balance : 7.12e-07 [ 0.00 %]\n", - "Adjust : 0.778874 [ 50.18 %]\n", - "Total : 1.55221 [100.00 %]\n", + "Drift : 0.000915128 [ 0.07 %]\n", + "Velocity : 0.00406116 [ 0.33 %]\n", + "Force : 0.440586 [ 35.71 %]\n", + "Coefs : 0.165437 [ 13.41 %]\n", + "Output : 0.0105785 [ 0.86 %]\n", + "Levels : 0.000431686 [ 0.03 %]\n", + "Report : 9.6e-07 [ 0.00 %]\n", + "Balance : 5.12e-07 [ 0.00 %]\n", + "Adjust : 0.611369 [ 49.55 %]\n", + "Total : 1.2339 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 8.5%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.2739e-03 sec\n", - "--- Collate = 9.4931e-05 sec\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.3779e-03 sec\n", + "--- Collate = 1.0033e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.397557e-02 > 2.000000e-03 [41715]\n", + "--- Max DT=2.398562e-02 > 2.000000e-03 [41711]\n", "----------------------------------------------------------------------\n", - " Component | high: 41715/60000\n", + " Component | high: 41711/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.596] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00154437 [ 0.10 %]\n", - "Velocity : 0.0078401 [ 0.52 %]\n", - "Force : 0.53972 [ 35.55 %]\n", - "Coefs : 0.20647 [ 13.60 %]\n", - "Output : 0.0147018 [ 0.97 %]\n", - "Levels : 0.000569644 [ 0.04 %]\n", - "Report : 1.271e-06 [ 0.00 %]\n", - "Balance : 7.79e-07 [ 0.00 %]\n", - "Adjust : 0.746523 [ 49.18 %]\n", - "Total : 1.51806 [100.00 %]\n", + "Drift : 0.00112815 [ 0.09 %]\n", + "Velocity : 0.00465873 [ 0.35 %]\n", + "Force : 0.461142 [ 35.08 %]\n", + "Coefs : 0.175984 [ 13.39 %]\n", + "Output : 0.0154294 [ 1.17 %]\n", + "Levels : 0.000405278 [ 0.03 %]\n", + "Report : 1.128e-06 [ 0.00 %]\n", + "Balance : 6.72e-07 [ 0.00 %]\n", + "Adjust : 0.655055 [ 49.84 %]\n", + "Total : 1.31442 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.3%\n", + "--- Coef/DT = 6.0%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.6502e-03 sec\n", - "--- Collate = 7.0989e-05 sec\n", + "--- Update = 8.1073e-03 sec\n", + "--- Collate = 8.2923e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.068082e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.397448e-02 > 2.000000e-03 [41735]\n", + "--- Min DT=2.878114e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.398508e-02 > 2.000000e-03 [41725]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41735/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41725/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.598] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00145343 [ 0.09 %]\n", - "Velocity : 0.00740203 [ 0.48 %]\n", - "Force : 0.54953 [ 35.46 %]\n", - "Coefs : 0.216626 [ 13.98 %]\n", - "Output : 0.015224 [ 0.98 %]\n", - "Levels : 0.000486392 [ 0.03 %]\n", - "Report : 1.345e-06 [ 0.00 %]\n", - "Balance : 7.99e-07 [ 0.00 %]\n", - "Adjust : 0.758294 [ 48.93 %]\n", - "Total : 1.54974 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00101278 [ 0.08 %]\n", + "Velocity : 0.00376427 [ 0.31 %]\n", + "Force : 0.434477 [ 35.90 %]\n", + "Coefs : 0.158463 [ 13.09 %]\n", + "Output : 0.0115767 [ 0.96 %]\n", + "Levels : 0.000316791 [ 0.03 %]\n", + "Report : 1.203e-06 [ 0.00 %]\n", + "Balance : 5.36e-07 [ 0.00 %]\n", + "Adjust : 0.600117 [ 49.59 %]\n", + "Total : 1.21024 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.2%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0087e-02 sec\n", - "--- Collate = 1.1848e-04 sec\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.7008e-03 sec\n", + "--- Collate = 8.0197e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.828590e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.397636e-02 > 2.000000e-03 [41728]\n", + "--- Min DT=1.759421e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.398600e-02 > 2.000000e-03 [41730]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 41728/60000\n", + " Component | high: 41730/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.6] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00148 [ 0.07 %]\n", - "Velocity : 0.00781195 [ 0.37 %]\n", - "Force : 0.601275 [ 28.77 %]\n", - "Coefs : 0.247875 [ 11.86 %]\n", - "Output : 0.278469 [ 13.32 %]\n", - "Levels : 0.000548303 [ 0.03 %]\n", - "Report : 1.454e-06 [ 0.00 %]\n", - "Balance : 7.12e-07 [ 0.00 %]\n", - "Adjust : 0.951999 [ 45.55 %]\n", - "Total : 2.09016 [100.00 %]\n", + "Drift : 0.00090785 [ 0.06 %]\n", + "Velocity : 0.00436069 [ 0.30 %]\n", + "Force : 0.447004 [ 31.02 %]\n", + "Coefs : 0.167072 [ 11.59 %]\n", + "Output : 0.19363 [ 13.44 %]\n", + "Levels : 0.00040011 [ 0.03 %]\n", + "Report : 1.493e-06 [ 0.00 %]\n", + "Balance : 3.99e-07 [ 0.00 %]\n", + "Adjust : 0.62702 [ 43.52 %]\n", + "Total : 1.44092 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.3%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.0933e-03 sec\n", - "--- Collate = 9.2343e-05 sec\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.4343e-03 sec\n", + "--- Collate = 2.1084e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.398693e-02 > 2.000000e-03 [41715]\n", + "--- Min DT=2.310698e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.398483e-02 > 2.000000e-03 [41707]\n", "----------------------------------------------------------------------\n", - " Component | high: 41715/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41707/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.602] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0015832 [ 0.10 %]\n", - "Velocity : 0.00748313 [ 0.49 %]\n", - "Force : 0.542908 [ 35.40 %]\n", - "Coefs : 0.207227 [ 13.51 %]\n", - "Output : 0.0147074 [ 0.96 %]\n", - "Levels : 0.000588141 [ 0.04 %]\n", - "Report : 1.251e-06 [ 0.00 %]\n", - "Balance : 7.74e-07 [ 0.00 %]\n", - "Adjust : 0.758543 [ 49.46 %]\n", - "Total : 1.53373 [100.00 %]\n", + "Drift : 0.000807075 [ 0.07 %]\n", + "Velocity : 0.00371674 [ 0.30 %]\n", + "Force : 0.446414 [ 36.33 %]\n", + "Coefs : 0.166397 [ 13.54 %]\n", + "Output : 0.00976582 [ 0.79 %]\n", + "Levels : 0.000479374 [ 0.04 %]\n", + "Report : 1.47e-06 [ 0.00 %]\n", + "Balance : 3.7e-07 [ 0.00 %]\n", + "Adjust : 0.600702 [ 48.89 %]\n", + "Total : 1.22874 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 7.1%\n", + "--- Coef/DT = 4.9%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 1.0161e-02 sec\n", - "--- Collate = 8.7733e-05 sec\n", + "--- Update = 8.1640e-03 sec\n", + "--- Collate = 7.5589e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.399539e-02 > 2.000000e-03 [41722]\n", + "--- Max DT=2.398140e-02 > 2.000000e-03 [41728]\n", "----------------------------------------------------------------------\n", - " Component | high: 41722/60000\n", + " Component | high: 41728/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.604] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00141779 [ 0.09 %]\n", - "Velocity : 0.00732386 [ 0.48 %]\n", - "Force : 0.542535 [ 35.38 %]\n", - "Coefs : 0.208437 [ 13.59 %]\n", - "Output : 0.0149229 [ 0.97 %]\n", - "Levels : 0.000518717 [ 0.03 %]\n", - "Report : 1.505e-06 [ 0.00 %]\n", - "Balance : 8.31e-07 [ 0.00 %]\n", - "Adjust : 0.757765 [ 49.41 %]\n", - "Total : 1.53363 [100.00 %]\n", + "Drift : 0.000906031 [ 0.07 %]\n", + "Velocity : 0.00403169 [ 0.32 %]\n", + "Force : 0.463691 [ 36.25 %]\n", + "Coefs : 0.173967 [ 13.60 %]\n", + "Output : 0.0110637 [ 0.86 %]\n", + "Levels : 0.000400693 [ 0.03 %]\n", + "Report : 9e-07 [ 0.00 %]\n", + "Balance : 5.1e-07 [ 0.00 %]\n", + "Adjust : 0.624547 [ 48.83 %]\n", + "Total : 1.27911 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.5%\n", + "--- Coef/DT = 5.9%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 9.7803e-03 sec\n", - "--- Collate = 9.3607e-05 sec\n", + "--- Update = 8.6341e-03 sec\n", + "--- Collate = 7.1302e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.628084e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.399770e-02 > 2.000000e-03 [41716]\n", + "--- Min DT=3.524717e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.398229e-02 > 2.000000e-03 [41716]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 1/20000\n", + " Component | low: 2/20000\n", " Component | high: 41716/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -10217,194 +10219,200 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.606] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00139051 [ 0.09 %]\n", - "Velocity : 0.00703837 [ 0.46 %]\n", - "Force : 0.534361 [ 34.99 %]\n", - "Coefs : 0.211625 [ 13.86 %]\n", - "Output : 0.014771 [ 0.97 %]\n", - "Levels : 0.000570247 [ 0.04 %]\n", - "Report : 1.713e-06 [ 0.00 %]\n", - "Balance : 6.83e-07 [ 0.00 %]\n", - "Adjust : 0.756825 [ 49.55 %]\n", - "Total : 1.5273 [100.00 %]\n", + "Drift : 0.00088048 [ 0.07 %]\n", + "Velocity : 0.00350861 [ 0.30 %]\n", + "Force : 0.424351 [ 35.77 %]\n", + "Coefs : 0.156939 [ 13.23 %]\n", + "Output : 0.0111982 [ 0.94 %]\n", + "Levels : 0.000357252 [ 0.03 %]\n", + "Report : 1.062e-06 [ 0.00 %]\n", + "Balance : 5.76e-07 [ 0.00 %]\n", + "Adjust : 0.588644 [ 49.62 %]\n", + "Total : 1.18637 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", + "--- Coef/DT = 4.9%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 9.6685e-03 sec\n", - "--- Collate = 8.1305e-05 sec\n", + "--- Update = 8.9109e-03 sec\n", + "--- Collate = 9.6331e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.399659e-02 > 2.000000e-03 [41702]\n", + "--- Min DT=3.249627e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.398285e-02 > 2.000000e-03 [41701]\n", "----------------------------------------------------------------------\n", - " Component | high: 41702/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41701/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.608] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00136386 [ 0.09 %]\n", - "Velocity : 0.00694537 [ 0.45 %]\n", - "Force : 0.548951 [ 35.66 %]\n", - "Coefs : 0.211964 [ 13.77 %]\n", - "Output : 0.0147269 [ 0.96 %]\n", - "Levels : 0.000518704 [ 0.03 %]\n", - "Report : 1.491e-06 [ 0.00 %]\n", - "Balance : 8.48e-07 [ 0.00 %]\n", - "Adjust : 0.754178 [ 48.99 %]\n", - "Total : 1.53935 [100.00 %]\n", + "Drift : 0.000866295 [ 0.07 %]\n", + "Velocity : 0.00371239 [ 0.29 %]\n", + "Force : 0.459205 [ 35.69 %]\n", + "Coefs : 0.172537 [ 13.41 %]\n", + "Output : 0.0125423 [ 0.97 %]\n", + "Levels : 0.000505677 [ 0.04 %]\n", + "Report : 1.385e-06 [ 0.00 %]\n", + "Balance : 7.49e-07 [ 0.00 %]\n", + "Adjust : 0.636793 [ 49.49 %]\n", + "Total : 1.28666 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.9%\n", + "--- Coef/DT = 4.8%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 9.3284e-03 sec\n", - "--- Collate = 1.7117e-04 sec\n", + "--- Update = 8.3056e-03 sec\n", + "--- Collate = 9.4559e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.063583e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.399700e-02 > 2.000000e-03 [41696]\n", + "--- Min DT=2.372952e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.398332e-02 > 2.000000e-03 [41702]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 2/20000\n", - " Component | high: 41696/60000\n", + " Component | high: 41702/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.61] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00143361 [ 0.09 %]\n", - "Velocity : 0.00733165 [ 0.48 %]\n", - "Force : 0.539739 [ 35.20 %]\n", - "Coefs : 0.211437 [ 13.79 %]\n", - "Output : 0.016082 [ 1.05 %]\n", - "Levels : 0.000519113 [ 0.03 %]\n", - "Report : 1.463e-06 [ 0.00 %]\n", - "Balance : 7.94e-07 [ 0.00 %]\n", - "Adjust : 0.755916 [ 49.30 %]\n", - "Total : 1.53316 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00105643 [ 0.09 %]\n", + "Velocity : 0.0041932 [ 0.34 %]\n", + "Force : 0.449228 [ 36.37 %]\n", + "Coefs : 0.165154 [ 13.37 %]\n", + "Output : 0.0113859 [ 0.92 %]\n", + "Levels : 0.000451869 [ 0.04 %]\n", + "Report : 9.59e-07 [ 0.00 %]\n", + "Balance : 4.63e-07 [ 0.00 %]\n", + "Adjust : 0.603133 [ 48.83 %]\n", + "Total : 1.23509 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.4%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.2538e-03 sec\n", - "--- Collate = 1.0142e-04 sec\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.9257e-03 sec\n", + "--- Collate = 8.7828e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.399484e-02 > 2.000000e-03 [41693]\n", + "--- Max DT=2.398912e-02 > 2.000000e-03 [41697]\n", "----------------------------------------------------------------------\n", - " Component | high: 41693/60000\n", + " Component | high: 41697/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.612] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00142922 [ 0.08 %]\n", - "Velocity : 0.00751497 [ 0.40 %]\n", - "Force : 0.605272 [ 31.83 %]\n", - "Coefs : 0.277067 [ 14.57 %]\n", - "Output : 0.0165607 [ 0.87 %]\n", - "Levels : 0.000563064 [ 0.03 %]\n", - "Report : 1.466e-06 [ 0.00 %]\n", - "Balance : 6.33e-07 [ 0.00 %]\n", - "Adjust : 0.992561 [ 52.19 %]\n", - "Total : 1.90173 [100.00 %]\n", + "Drift : 0.000919524 [ 0.07 %]\n", + "Velocity : 0.00405499 [ 0.32 %]\n", + "Force : 0.456097 [ 35.94 %]\n", + "Coefs : 0.171785 [ 13.54 %]\n", + "Output : 0.0108346 [ 0.85 %]\n", + "Levels : 0.000419988 [ 0.03 %]\n", + "Report : 1.217e-06 [ 0.00 %]\n", + "Balance : 5.44e-07 [ 0.00 %]\n", + "Adjust : 0.624573 [ 49.21 %]\n", + "Total : 1.26915 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 9.8%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.6200e-03 sec\n", - "--- Collate = 1.0499e-04 sec\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.9024e-03 sec\n", + "--- Collate = 7.4552e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.370542e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.398690e-02 > 2.000000e-03 [41679]\n", + "--- Max DT=2.399400e-02 > 2.000000e-03 [41675]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41679/60000\n", + " Component | high: 41675/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.614] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00145797 [ 0.10 %]\n", - "Velocity : 0.0072023 [ 0.48 %]\n", - "Force : 0.523089 [ 35.13 %]\n", - "Coefs : 0.206137 [ 13.84 %]\n", - "Output : 0.0144934 [ 0.97 %]\n", - "Levels : 0.000544495 [ 0.04 %]\n", - "Report : 1.354e-06 [ 0.00 %]\n", - "Balance : 5.48e-07 [ 0.00 %]\n", - "Adjust : 0.735403 [ 49.39 %]\n", - "Total : 1.48906 [100.00 %]\n", + "Drift : 0.000971935 [ 0.07 %]\n", + "Velocity : 0.00426557 [ 0.33 %]\n", + "Force : 0.470177 [ 36.08 %]\n", + "Coefs : 0.175302 [ 13.45 %]\n", + "Output : 0.0123116 [ 0.94 %]\n", + "Levels : 0.000387975 [ 0.03 %]\n", + "Report : 1.334e-06 [ 0.00 %]\n", + "Balance : 6.66e-07 [ 0.00 %]\n", + "Adjust : 0.63916 [ 49.05 %]\n", + "Total : 1.30313 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.3%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 9.6880e-03 sec\n", - "--- Collate = 1.9225e-04 sec\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.1950e-03 sec\n", + "--- Collate = 6.6257e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.397766e-02 > 2.000000e-03 [41681]\n", + "--- Min DT=1.731925e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.399232e-02 > 2.000000e-03 [41669]\n", "----------------------------------------------------------------------\n", - " Component | high: 41681/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41669/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.616] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00158366 [ 0.10 %]\n", - "Velocity : 0.0073397 [ 0.48 %]\n", - "Force : 0.542246 [ 35.40 %]\n", - "Coefs : 0.208929 [ 13.64 %]\n", - "Output : 0.0147147 [ 0.96 %]\n", - "Levels : 0.000657253 [ 0.04 %]\n", - "Report : 1.919e-06 [ 0.00 %]\n", - "Balance : 7.13e-07 [ 0.00 %]\n", - "Adjust : 0.755339 [ 49.32 %]\n", - "Total : 1.53157 [100.00 %]\n", + "Drift : 0.000889044 [ 0.07 %]\n", + "Velocity : 0.00398024 [ 0.32 %]\n", + "Force : 0.455739 [ 36.15 %]\n", + "Coefs : 0.171103 [ 13.57 %]\n", + "Output : 0.0107446 [ 0.85 %]\n", + "Levels : 0.000322216 [ 0.03 %]\n", + "Report : 1.108e-06 [ 0.00 %]\n", + "Balance : 6.62e-07 [ 0.00 %]\n", + "Adjust : 0.617452 [ 48.98 %]\n", + "Total : 1.26071 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.6%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 9.2349e-03 sec\n", - "--- Collate = 6.4445e-05 sec\n", + "--- Coef/DT = 6.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.9260e-03 sec\n", + "--- Collate = 7.4933e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.335264e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.397374e-02 > 2.000000e-03 [41685]\n", + "--- Max DT=2.399018e-02 > 2.000000e-03 [41685]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", " Component | high: 41685/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -10412,578 +10420,602 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.618] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00141708 [ 0.09 %]\n", - "Velocity : 0.00688254 [ 0.46 %]\n", - "Force : 0.538233 [ 35.64 %]\n", - "Coefs : 0.20047 [ 13.28 %]\n", - "Output : 0.0145817 [ 0.97 %]\n", - "Levels : 0.000554802 [ 0.04 %]\n", - "Report : 1.379e-06 [ 0.00 %]\n", - "Balance : 7.89e-07 [ 0.00 %]\n", - "Adjust : 0.747154 [ 49.48 %]\n", - "Total : 1.51003 [100.00 %]\n", + "Drift : 0.000927032 [ 0.07 %]\n", + "Velocity : 0.00407979 [ 0.32 %]\n", + "Force : 0.453315 [ 35.93 %]\n", + "Coefs : 0.165613 [ 13.13 %]\n", + "Output : 0.0114104 [ 0.90 %]\n", + "Levels : 0.000378396 [ 0.03 %]\n", + "Report : 1.702e-06 [ 0.00 %]\n", + "Balance : 5.9e-07 [ 0.00 %]\n", + "Adjust : 0.625352 [ 49.57 %]\n", + "Total : 1.26158 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 7.6%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.5717e-03 sec\n", - "--- Collate = 9.6171e-05 sec\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.4021e-03 sec\n", + "--- Collate = 8.3932e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.315984e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.397520e-02 > 2.000000e-03 [41675]\n", + "--- Min DT=2.015340e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.399331e-02 > 2.000000e-03 [41674]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41675/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41674/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.62] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00148293 [ 0.09 %]\n", - "Velocity : 0.0076149 [ 0.46 %]\n", - "Force : 0.538792 [ 32.66 %]\n", - "Coefs : 0.210297 [ 12.75 %]\n", - "Output : 0.143952 [ 8.73 %]\n", - "Levels : 0.000551379 [ 0.03 %]\n", - "Report : 1.288e-06 [ 0.00 %]\n", - "Balance : 7.13e-07 [ 0.00 %]\n", - "Adjust : 0.746107 [ 45.23 %]\n", - "Total : 1.64953 [100.00 %]\n", + "Drift : 0.000813035 [ 0.06 %]\n", + "Velocity : 0.00342351 [ 0.26 %]\n", + "Force : 0.436213 [ 33.05 %]\n", + "Coefs : 0.163431 [ 12.38 %]\n", + "Output : 0.111528 [ 8.45 %]\n", + "Levels : 0.000391287 [ 0.03 %]\n", + "Report : 1.303e-06 [ 0.00 %]\n", + "Balance : 4.05e-07 [ 0.00 %]\n", + "Adjust : 0.60379 [ 45.74 %]\n", + "Total : 1.32003 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.9%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0050e-02 sec\n", - "--- Collate = 1.0213e-04 sec\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.4551e-03 sec\n", + "--- Collate = 7.1454e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.471900e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.397951e-02 > 2.000000e-03 [41662]\n", + "--- Max DT=2.399443e-02 > 2.000000e-03 [41656]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41662/60000\n", + " Component | high: 41656/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.622] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00175789 [ 0.10 %]\n", - "Velocity : 0.00760341 [ 0.43 %]\n", - "Force : 0.620797 [ 34.71 %]\n", - "Coefs : 0.260099 [ 14.54 %]\n", - "Output : 0.0200737 [ 1.12 %]\n", - "Levels : 0.000575816 [ 0.03 %]\n", - "Report : 9.8e-07 [ 0.00 %]\n", - "Balance : 6.58e-07 [ 0.00 %]\n", - "Adjust : 0.877039 [ 49.03 %]\n", - "Total : 1.78878 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.0008425 [ 0.07 %]\n", + "Velocity : 0.0036798 [ 0.30 %]\n", + "Force : 0.436936 [ 36.05 %]\n", + "Coefs : 0.166741 [ 13.76 %]\n", + "Output : 0.00870203 [ 0.72 %]\n", + "Levels : 0.000318306 [ 0.03 %]\n", + "Report : 1.301e-06 [ 0.00 %]\n", + "Balance : 6.99e-07 [ 0.00 %]\n", + "Adjust : 0.59442 [ 49.04 %]\n", + "Total : 1.21206 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.7%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.0141e-02 sec\n", - "--- Collate = 7.1334e-05 sec\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.3889e-03 sec\n", + "--- Collate = 6.7728e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.702049e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.398178e-02 > 2.000000e-03 [41662]\n", + "--- Min DT=2.582148e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.398804e-02 > 2.000000e-03 [41661]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 41662/60000\n", + " Component | high: 41661/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.624] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00121934 [ 0.08 %]\n", - "Velocity : 0.00550561 [ 0.35 %]\n", - "Force : 0.558472 [ 35.26 %]\n", - "Coefs : 0.21591 [ 13.63 %]\n", - "Output : 0.0158049 [ 1.00 %]\n", - "Levels : 0.000577033 [ 0.04 %]\n", - "Report : 1.106e-06 [ 0.00 %]\n", - "Balance : 5.53e-07 [ 0.00 %]\n", - "Adjust : 0.785642 [ 49.60 %]\n", - "Total : 1.58382 [100.00 %]\n", + "Drift : 0.000828329 [ 0.07 %]\n", + "Velocity : 0.00350497 [ 0.28 %]\n", + "Force : 0.44633 [ 36.14 %]\n", + "Coefs : 0.168018 [ 13.61 %]\n", + "Output : 0.00935048 [ 0.76 %]\n", + "Levels : 0.00033323 [ 0.03 %]\n", + "Report : 9.91e-07 [ 0.00 %]\n", + "Balance : 4.27e-07 [ 0.00 %]\n", + "Adjust : 0.606106 [ 49.08 %]\n", + "Total : 1.23494 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.4%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.0183e-02 sec\n", - "--- Collate = 1.6238e-04 sec\n", + "--- Coef/DT = 4.7%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 8.7871e-03 sec\n", + "--- Collate = 9.3372e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.732757e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.398015e-02 > 2.000000e-03 [41662]\n", + "--- Min DT=1.507166e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.397875e-02 > 2.000000e-03 [41659]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 41662/60000\n", + " Component | high: 41659/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.626] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00134227 [ 0.09 %]\n", - "Velocity : 0.00556226 [ 0.36 %]\n", - "Force : 0.548759 [ 35.51 %]\n", - "Coefs : 0.219852 [ 14.23 %]\n", - "Output : 0.0180861 [ 1.17 %]\n", - "Levels : 0.000496197 [ 0.03 %]\n", - "Report : 1.411e-06 [ 0.00 %]\n", - "Balance : 9.11e-07 [ 0.00 %]\n", - "Adjust : 0.750475 [ 48.56 %]\n", - "Total : 1.54532 [100.00 %]\n", + "Drift : 0.000971741 [ 0.08 %]\n", + "Velocity : 0.00391997 [ 0.34 %]\n", + "Force : 0.412308 [ 35.69 %]\n", + "Coefs : 0.150789 [ 13.05 %]\n", + "Output : 0.012054 [ 1.04 %]\n", + "Levels : 0.000375716 [ 0.03 %]\n", + "Report : 1.198e-06 [ 0.00 %]\n", + "Balance : 7.13e-07 [ 0.00 %]\n", + "Adjust : 0.574178 [ 49.71 %]\n", + "Total : 1.1551 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 7.4%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 8.7731e-03 sec\n", - "--- Collate = 1.1170e-04 sec\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.8395e-03 sec\n", + "--- Collate = 7.1942e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.561410e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.397791e-02 > 2.000000e-03 [41645]\n", + "--- Max DT=2.397137e-02 > 2.000000e-03 [41642]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41645/60000\n", + " Component | high: 41642/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.628] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00132447 [ 0.08 %]\n", - "Velocity : 0.0064719 [ 0.40 %]\n", - "Force : 0.582387 [ 36.23 %]\n", - "Coefs : 0.217588 [ 13.54 %]\n", - "Output : 0.0166804 [ 1.04 %]\n", - "Levels : 0.0005904 [ 0.04 %]\n", - "Report : 1.351e-06 [ 0.00 %]\n", - "Balance : 6.76e-07 [ 0.00 %]\n", - "Adjust : 0.781658 [ 48.63 %]\n", - "Total : 1.60743 [100.00 %]\n", + "Drift : 0.00101615 [ 0.07 %]\n", + "Velocity : 0.00438028 [ 0.32 %]\n", + "Force : 0.491523 [ 36.21 %]\n", + "Coefs : 0.178762 [ 13.17 %]\n", + "Output : 0.0196337 [ 1.45 %]\n", + "Levels : 0.000433749 [ 0.03 %]\n", + "Report : 1.229e-06 [ 0.00 %]\n", + "Balance : 6.71e-07 [ 0.00 %]\n", + "Adjust : 0.661016 [ 48.70 %]\n", + "Total : 1.35732 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 7.1%\n", + "--- Coef/DT = 5.7%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.4624e-03 sec\n", - "--- Collate = 7.8279e-05 sec\n", + "--- Update = 7.7252e-03 sec\n", + "--- Collate = 8.1207e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.430206e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.397809e-02 > 2.000000e-03 [41635]\n", + "--- Max DT=2.397449e-02 > 2.000000e-03 [41644]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41635/60000\n", + " Component | high: 41644/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.63] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00138196 [ 0.09 %]\n", - "Velocity : 0.00636431 [ 0.40 %]\n", - "Force : 0.560462 [ 35.35 %]\n", - "Coefs : 0.22562 [ 14.23 %]\n", - "Output : 0.0154903 [ 0.98 %]\n", - "Levels : 0.000585122 [ 0.04 %]\n", - "Report : 1.003e-06 [ 0.00 %]\n", - "Balance : 5.58e-07 [ 0.00 %]\n", - "Adjust : 0.774708 [ 48.87 %]\n", - "Total : 1.58532 [100.00 %]\n", + "Drift : 0.000952231 [ 0.08 %]\n", + "Velocity : 0.00420729 [ 0.34 %]\n", + "Force : 0.457837 [ 36.54 %]\n", + "Coefs : 0.168117 [ 13.42 %]\n", + "Output : 0.0112298 [ 0.90 %]\n", + "Levels : 0.000443734 [ 0.04 %]\n", + "Report : 1.247e-06 [ 0.00 %]\n", + "Balance : 4.48e-07 [ 0.00 %]\n", + "Adjust : 0.609814 [ 48.67 %]\n", + "Total : 1.25308 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 5.4%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.8021e-03 sec\n", - "--- Collate = 1.1333e-04 sec\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.4531e-03 sec\n", + "--- Collate = 9.0484e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.397766e-02 > 2.000000e-03 [41626]\n", + "--- Min DT=2.378940e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.397368e-02 > 2.000000e-03 [41636]\n", "----------------------------------------------------------------------\n", - " Component | high: 41626/60000\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41636/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.632] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00119105 [ 0.08 %]\n", - "Velocity : 0.0051536 [ 0.34 %]\n", - "Force : 0.531331 [ 34.95 %]\n", - "Coefs : 0.218608 [ 14.38 %]\n", - "Output : 0.0158355 [ 1.04 %]\n", - "Levels : 0.000563444 [ 0.04 %]\n", - "Report : 1.237e-06 [ 0.00 %]\n", - "Balance : 1.098e-06 [ 0.00 %]\n", - "Adjust : 0.746876 [ 49.13 %]\n", - "Total : 1.52025 [100.00 %]\n", + "Drift : 0.000992625 [ 0.08 %]\n", + "Velocity : 0.00483434 [ 0.37 %]\n", + "Force : 0.480362 [ 36.36 %]\n", + "Coefs : 0.173865 [ 13.16 %]\n", + "Output : 0.0142632 [ 1.08 %]\n", + "Levels : 0.000440381 [ 0.03 %]\n", + "Report : 1.157e-06 [ 0.00 %]\n", + "Balance : 5.59e-07 [ 0.00 %]\n", + "Adjust : 0.64569 [ 48.88 %]\n", + "Total : 1.32105 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.2%\n", + "--- Coef/DT = 5.3%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.4348e-03 sec\n", - "--- Collate = 7.3496e-05 sec\n", + "--- Update = 8.6412e-03 sec\n", + "--- Collate = 8.9934e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.397783e-02 > 2.000000e-03 [41639]\n", + "--- Max DT=2.396788e-02 > 2.000000e-03 [41642]\n", "----------------------------------------------------------------------\n", - " Component | high: 41639/60000\n", + " Component | high: 41642/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.634] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00129666 [ 0.09 %]\n", - "Velocity : 0.00543684 [ 0.36 %]\n", - "Force : 0.533472 [ 35.68 %]\n", - "Coefs : 0.20405 [ 13.65 %]\n", - "Output : 0.0150938 [ 1.01 %]\n", - "Levels : 0.000449026 [ 0.03 %]\n", - "Report : 1.339e-06 [ 0.00 %]\n", - "Balance : 6.21e-07 [ 0.00 %]\n", - "Adjust : 0.734575 [ 49.13 %]\n", - "Total : 1.4951 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.0010047 [ 0.08 %]\n", + "Velocity : 0.00459358 [ 0.35 %]\n", + "Force : 0.478752 [ 36.29 %]\n", + "Coefs : 0.173797 [ 13.17 %]\n", + "Output : 0.0135378 [ 1.03 %]\n", + "Levels : 0.000473979 [ 0.04 %]\n", + "Report : 1.382e-06 [ 0.00 %]\n", + "Balance : 6.99e-07 [ 0.00 %]\n", + "Adjust : 0.646521 [ 49.01 %]\n", + "Total : 1.31927 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.6%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 8.9811e-03 sec\n", - "--- Collate = 5.9135e-05 sec\n", + "--- Coef/DT = 4.8%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.6315e-03 sec\n", + "--- Collate = 9.5033e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.210776e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.397828e-02 > 2.000000e-03 [41618]\n", + "--- Max DT=2.396617e-02 > 2.000000e-03 [41616]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41618/60000\n", + " Component | high: 41616/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.636] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00139381 [ 0.07 %]\n", - "Velocity : 0.00718132 [ 0.35 %]\n", - "Force : 0.659878 [ 32.10 %]\n", - "Coefs : 0.276582 [ 13.46 %]\n", - "Output : 0.0218843 [ 1.06 %]\n", - "Levels : 0.000619293 [ 0.03 %]\n", - "Report : 1.13e-06 [ 0.00 %]\n", - "Balance : 5.81e-07 [ 0.00 %]\n", - "Adjust : 1.08725 [ 52.89 %]\n", - "Total : 2.05551 [100.00 %]\n", + "Drift : 0.00099311 [ 0.08 %]\n", + "Velocity : 0.00428592 [ 0.33 %]\n", + "Force : 0.484796 [ 36.81 %]\n", + "Coefs : 0.176158 [ 13.37 %]\n", + "Output : 0.0111724 [ 0.85 %]\n", + "Levels : 0.00063111 [ 0.05 %]\n", + "Report : 1.378e-06 [ 0.00 %]\n", + "Balance : 8.17e-07 [ 0.00 %]\n", + "Adjust : 0.638569 [ 48.48 %]\n", + "Total : 1.31712 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.6%\n", + "--- Coef/DT = 5.2%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.8633e-03 sec\n", - "--- Collate = 7.8735e-05 sec\n", + "--- Update = 7.7808e-03 sec\n", + "--- Collate = 8.5153e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.397612e-02 > 2.000000e-03 [41601]\n", + "--- Max DT=2.396766e-02 > 2.000000e-03 [41597]\n", "----------------------------------------------------------------------\n", - " Component | high: 41601/60000\n", + " Component | high: 41597/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.638] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00194814 [ 0.11 %]\n", - "Velocity : 0.00890942 [ 0.49 %]\n", - "Force : 0.629368 [ 34.27 %]\n", - "Coefs : 0.272207 [ 14.82 %]\n", - "Output : 0.0234556 [ 1.28 %]\n", - "Levels : 0.000571664 [ 0.03 %]\n", - "Report : 8.05e-07 [ 0.00 %]\n", - "Balance : 5.77e-07 [ 0.00 %]\n", - "Adjust : 0.899232 [ 48.97 %]\n", - "Total : 1.83641 [100.00 %]\n", + "Drift : 0.000897321 [ 0.07 %]\n", + "Velocity : 0.00375726 [ 0.29 %]\n", + "Force : 0.470354 [ 36.66 %]\n", + "Coefs : 0.17031 [ 13.28 %]\n", + "Output : 0.00979097 [ 0.76 %]\n", + "Levels : 0.000415999 [ 0.03 %]\n", + "Report : 1.053e-06 [ 0.00 %]\n", + "Balance : 4.91e-07 [ 0.00 %]\n", + "Adjust : 0.626937 [ 48.87 %]\n", + "Total : 1.28291 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.6%\n", - "--- Adj/Tot = 1.4%\n", - "--- Update = 8.6417e-03 sec\n", - "--- Collate = 7.1026e-05 sec\n", + "--- Coef/DT = 4.8%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.9192e-03 sec\n", + "--- Collate = 9.0622e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.397352e-02 > 2.000000e-03 [41581]\n", + "--- Max DT=2.397335e-02 > 2.000000e-03 [41584]\n", "----------------------------------------------------------------------\n", - " Component | high: 41581/60000\n", + " Component | high: 41584/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.64] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00161496 [ 0.10 %]\n", - "Velocity : 0.00847766 [ 0.50 %]\n", - "Force : 0.552027 [ 32.84 %]\n", - "Coefs : 0.21104 [ 12.55 %]\n", - "Output : 0.142948 [ 8.50 %]\n", - "Levels : 0.000612811 [ 0.04 %]\n", - "Report : 1.124e-06 [ 0.00 %]\n", - "Balance : 6.99e-07 [ 0.00 %]\n", - "Adjust : 0.763675 [ 45.43 %]\n", - "Total : 1.68117 [100.00 %]\n", + "Drift : 0.000811781 [ 0.06 %]\n", + "Velocity : 0.00351869 [ 0.26 %]\n", + "Force : 0.446258 [ 32.87 %]\n", + "Coefs : 0.168582 [ 12.42 %]\n", + "Output : 0.127264 [ 9.37 %]\n", + "Levels : 0.000321335 [ 0.02 %]\n", + "Report : 9.63e-07 [ 0.00 %]\n", + "Balance : 5.25e-07 [ 0.00 %]\n", + "Adjust : 0.610521 [ 44.97 %]\n", + "Total : 1.3577 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.4%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.0404e-03 sec\n", - "--- Collate = 7.9863e-05 sec\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.3420e-03 sec\n", + "--- Collate = 1.2051e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.397491e-02 > 2.000000e-03 [41583]\n", + "--- Min DT=1.501410e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.397527e-02 > 2.000000e-03 [41587]\n", "----------------------------------------------------------------------\n", - " Component | high: 41583/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41587/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.642] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00203162 [ 0.14 %]\n", - "Velocity : 0.00884073 [ 0.61 %]\n", - "Force : 0.507835 [ 34.92 %]\n", - "Coefs : 0.192589 [ 13.24 %]\n", - "Output : 0.0220064 [ 1.51 %]\n", - "Levels : 0.000581706 [ 0.04 %]\n", - "Report : 1.417e-06 [ 0.00 %]\n", - "Balance : 6.35e-07 [ 0.00 %]\n", - "Adjust : 0.719845 [ 49.49 %]\n", - "Total : 1.45443 [100.00 %]\n", + "Drift : 0.00175943 [ 0.13 %]\n", + "Velocity : 0.00833622 [ 0.63 %]\n", + "Force : 0.463389 [ 35.04 %]\n", + "Coefs : 0.167725 [ 12.68 %]\n", + "Output : 0.0209014 [ 1.58 %]\n", + "Levels : 0.000528308 [ 0.04 %]\n", + "Report : 1.163e-06 [ 0.00 %]\n", + "Balance : 7.22e-07 [ 0.00 %]\n", + "Adjust : 0.659267 [ 49.85 %]\n", + "Total : 1.32252 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.9%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 8.4822e-03 sec\n", - "--- Collate = 6.4358e-05 sec\n", + "--- Coef/DT = 4.3%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.5370e-03 sec\n", + "--- Collate = 1.0477e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.397981e-02 > 2.000000e-03 [41600]\n", + "--- Min DT=1.887939e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.397299e-02 > 2.000000e-03 [41598]\n", "----------------------------------------------------------------------\n", - " Component | high: 41600/60000\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41598/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.644] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00201736 [ 0.14 %]\n", - "Velocity : 0.00883243 [ 0.60 %]\n", - "Force : 0.508079 [ 34.62 %]\n", - "Coefs : 0.196997 [ 13.42 %]\n", - "Output : 0.0229755 [ 1.57 %]\n", - "Levels : 0.000604793 [ 0.04 %]\n", - "Report : 1.571e-06 [ 0.00 %]\n", - "Balance : 5.66e-07 [ 0.00 %]\n", - "Adjust : 0.72731 [ 49.56 %]\n", - "Total : 1.46752 [100.00 %]\n", + "Drift : 0.00186902 [ 0.14 %]\n", + "Velocity : 0.00768545 [ 0.59 %]\n", + "Force : 0.464748 [ 35.40 %]\n", + "Coefs : 0.171271 [ 13.04 %]\n", + "Output : 0.0208129 [ 1.59 %]\n", + "Levels : 0.000518731 [ 0.04 %]\n", + "Report : 1.115e-06 [ 0.00 %]\n", + "Balance : 7.48e-07 [ 0.00 %]\n", + "Adjust : 0.645426 [ 49.16 %]\n", + "Total : 1.31293 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 7.5%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 8.6998e-03 sec\n", - "--- Collate = 2.1589e-04 sec\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.0740e-03 sec\n", + "--- Collate = 9.4484e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.398131e-02 > 2.000000e-03 [41607]\n", + "--- Max DT=2.396781e-02 > 2.000000e-03 [41609]\n", "----------------------------------------------------------------------\n", - " Component | high: 41607/60000\n", + " Component | high: 41609/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.646] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00199028 [ 0.13 %]\n", - "Velocity : 0.00913885 [ 0.61 %]\n", - "Force : 0.53536 [ 35.72 %]\n", - "Coefs : 0.195811 [ 13.07 %]\n", - "Output : 0.0235736 [ 1.57 %]\n", - "Levels : 0.000570145 [ 0.04 %]\n", - "Report : 1.451e-06 [ 0.00 %]\n", - "Balance : 6.53e-07 [ 0.00 %]\n", - "Adjust : 0.731476 [ 48.81 %]\n", - "Total : 1.49863 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00165725 [ 0.12 %]\n", + "Velocity : 0.00842395 [ 0.60 %]\n", + "Force : 0.489639 [ 34.82 %]\n", + "Coefs : 0.182103 [ 12.95 %]\n", + "Output : 0.0226032 [ 1.61 %]\n", + "Levels : 0.000557529 [ 0.04 %]\n", + "Report : 1.151e-06 [ 0.00 %]\n", + "Balance : 6.89e-07 [ 0.00 %]\n", + "Adjust : 0.700691 [ 49.83 %]\n", + "Total : 1.4063 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.7%\n", + "--- Coef/DT = 7.1%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 1.2058e-02 sec\n", - "--- Collate = 1.9776e-04 sec\n", + "--- Update = 7.7253e-03 sec\n", + "--- Collate = 7.0792e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.398075e-02 > 2.000000e-03 [41590]\n", + "--- Min DT=2.931185e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.396586e-02 > 2.000000e-03 [41593]\n", "----------------------------------------------------------------------\n", - " Component | high: 41590/60000\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41593/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.648] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00164498 [ 0.10 %]\n", - "Velocity : 0.00804525 [ 0.47 %]\n", - "Force : 0.622033 [ 35.98 %]\n", - "Coefs : 0.234654 [ 13.57 %]\n", - "Output : 0.0215226 [ 1.24 %]\n", - "Levels : 0.00071402 [ 0.04 %]\n", - "Report : 1.314e-06 [ 0.00 %]\n", - "Balance : 7.44e-07 [ 0.00 %]\n", - "Adjust : 0.839479 [ 48.56 %]\n", - "Total : 1.72878 [100.00 %]\n", + "Drift : 0.0018753 [ 0.14 %]\n", + "Velocity : 0.00815051 [ 0.61 %]\n", + "Force : 0.472537 [ 35.13 %]\n", + "Coefs : 0.175326 [ 13.03 %]\n", + "Output : 0.0211236 [ 1.57 %]\n", + "Levels : 0.00056059 [ 0.04 %]\n", + "Report : 8.83e-07 [ 0.00 %]\n", + "Balance : 6.25e-07 [ 0.00 %]\n", + "Adjust : 0.664933 [ 49.43 %]\n", + "Total : 1.34513 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.4%\n", + "--- Coef/DT = 5.7%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.5658e-03 sec\n", - "--- Collate = 9.6719e-05 sec\n", + "--- Update = 7.9621e-03 sec\n", + "--- Collate = 7.1848e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.397470e-02 > 2.000000e-03 [41596]\n", + "--- Min DT=1.696326e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.396775e-02 > 2.000000e-03 [41607]\n", "----------------------------------------------------------------------\n", - " Component | high: 41596/60000\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41607/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.65] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00153034 [ 0.09 %]\n", - "Velocity : 0.00681705 [ 0.42 %]\n", - "Force : 0.583421 [ 35.62 %]\n", - "Coefs : 0.226053 [ 13.80 %]\n", - "Output : 0.0191161 [ 1.17 %]\n", - "Levels : 0.000618676 [ 0.04 %]\n", - "Report : 9.05e-07 [ 0.00 %]\n", - "Balance : 9.17e-07 [ 0.00 %]\n", - "Adjust : 0.799771 [ 48.82 %]\n", - "Total : 1.63808 [100.00 %]\n", + "Drift : 0.00170476 [ 0.13 %]\n", + "Velocity : 0.00760423 [ 0.59 %]\n", + "Force : 0.455978 [ 35.12 %]\n", + "Coefs : 0.164144 [ 12.64 %]\n", + "Output : 0.0202443 [ 1.56 %]\n", + "Levels : 0.000495024 [ 0.04 %]\n", + "Report : 1.044e-06 [ 0.00 %]\n", + "Balance : 6.25e-07 [ 0.00 %]\n", + "Adjust : 0.647621 [ 49.88 %]\n", + "Total : 1.29836 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.8%\n", + "--- Coef/DT = 5.0%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0202e-02 sec\n", - "--- Collate = 1.2299e-04 sec\n", + "--- Update = 7.3734e-03 sec\n", + "--- Collate = 6.2385e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.397266e-02 > 2.000000e-03 [41577]\n", + "--- Max DT=2.397528e-02 > 2.000000e-03 [41581]\n", "----------------------------------------------------------------------\n", - " Component | high: 41577/60000\n", + " Component | high: 41581/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.652] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00129805 [ 0.08 %]\n", - "Velocity : 0.00621542 [ 0.39 %]\n", - "Force : 0.574513 [ 36.18 %]\n", - "Coefs : 0.220131 [ 13.86 %]\n", - "Output : 0.0174475 [ 1.10 %]\n", - "Levels : 0.000535939 [ 0.03 %]\n", - "Report : 1.485e-06 [ 0.00 %]\n", - "Balance : 7.32e-07 [ 0.00 %]\n", - "Adjust : 0.767172 [ 48.31 %]\n", - "Total : 1.58805 [100.00 %]\n", + "Drift : 0.00180754 [ 0.14 %]\n", + "Velocity : 0.00778635 [ 0.58 %]\n", + "Force : 0.463406 [ 34.73 %]\n", + "Coefs : 0.171485 [ 12.85 %]\n", + "Output : 0.0285494 [ 2.14 %]\n", + "Levels : 0.000538317 [ 0.04 %]\n", + "Report : 1.348e-06 [ 0.00 %]\n", + "Balance : 7.39e-07 [ 0.00 %]\n", + "Adjust : 0.660146 [ 49.47 %]\n", + "Total : 1.33431 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 5.2%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.2058e-03 sec\n", - "--- Collate = 1.3070e-04 sec\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.4312e-03 sec\n", + "--- Collate = 5.9703e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.397129e-02 > 2.000000e-03 [41590]\n", + "--- Min DT=3.802471e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.397775e-02 > 2.000000e-03 [41590]\n", "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", " Component | high: 41590/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -10991,259 +11023,265 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.654] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00119664 [ 0.08 %]\n", - "Velocity : 0.00596903 [ 0.39 %]\n", - "Force : 0.543056 [ 35.49 %]\n", - "Coefs : 0.210757 [ 13.77 %]\n", - "Output : 0.0170595 [ 1.11 %]\n", - "Levels : 0.000503624 [ 0.03 %]\n", - "Report : 1.287e-06 [ 0.00 %]\n", - "Balance : 5.67e-07 [ 0.00 %]\n", - "Adjust : 0.751113 [ 49.08 %]\n", - "Total : 1.53035 [100.00 %]\n", + "Drift : 0.00116343 [ 0.09 %]\n", + "Velocity : 0.00440188 [ 0.35 %]\n", + "Force : 0.448303 [ 35.88 %]\n", + "Coefs : 0.168801 [ 13.51 %]\n", + "Output : 0.0119579 [ 0.96 %]\n", + "Levels : 0.000337566 [ 0.03 %]\n", + "Report : 1.235e-06 [ 0.00 %]\n", + "Balance : 5.38e-07 [ 0.00 %]\n", + "Adjust : 0.613979 [ 49.14 %]\n", + "Total : 1.24943 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.4%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0076e-02 sec\n", - "--- Collate = 7.8821e-05 sec\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 9.0289e-03 sec\n", + "--- Collate = 7.7010e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.150550e-07 < 7.812500e-06 [2]\n", - "--- Max DT=2.396928e-02 > 2.000000e-03 [41598]\n", + "--- Max DT=2.397333e-02 > 2.000000e-03 [41594]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41598/60000\n", + " Component | high: 41594/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.656] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00113395 [ 0.07 %]\n", - "Velocity : 0.00585303 [ 0.38 %]\n", - "Force : 0.557775 [ 35.79 %]\n", - "Coefs : 0.211943 [ 13.60 %]\n", - "Output : 0.0169659 [ 1.09 %]\n", - "Levels : 0.000415581 [ 0.03 %]\n", - "Report : 1.424e-06 [ 0.00 %]\n", - "Balance : 7.06e-07 [ 0.00 %]\n", - "Adjust : 0.763503 [ 49.00 %]\n", - "Total : 1.5583 [100.00 %]\n", + "Drift : 0.000928187 [ 0.07 %]\n", + "Velocity : 0.0042601 [ 0.33 %]\n", + "Force : 0.457638 [ 35.87 %]\n", + "Coefs : 0.168352 [ 13.20 %]\n", + "Output : 0.0117098 [ 0.92 %]\n", + "Levels : 0.000359632 [ 0.03 %]\n", + "Report : 6.51e-07 [ 0.00 %]\n", + "Balance : 5.12e-07 [ 0.00 %]\n", + "Adjust : 0.632106 [ 49.54 %]\n", + "Total : 1.27587 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.2%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 9.8697e-03 sec\n", - "--- Collate = 7.8441e-05 sec\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.9239e-03 sec\n", + "--- Collate = 5.8805e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.568213e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.396625e-02 > 2.000000e-03 [41614]\n", + "--- Max DT=2.397424e-02 > 2.000000e-03 [41608]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41614/60000\n", + " Component | high: 41608/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.658] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00130948 [ 0.08 %]\n", - "Velocity : 0.00614956 [ 0.39 %]\n", - "Force : 0.568876 [ 36.25 %]\n", - "Coefs : 0.217315 [ 13.85 %]\n", - "Output : 0.0173502 [ 1.11 %]\n", - "Levels : 0.000413582 [ 0.03 %]\n", - "Report : 1.234e-06 [ 0.00 %]\n", - "Balance : 5.54e-07 [ 0.00 %]\n", - "Adjust : 0.757214 [ 48.25 %]\n", - "Total : 1.56934 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000868735 [ 0.07 %]\n", + "Velocity : 0.00395135 [ 0.32 %]\n", + "Force : 0.455064 [ 36.33 %]\n", + "Coefs : 0.166551 [ 13.30 %]\n", + "Output : 0.0108613 [ 0.87 %]\n", + "Levels : 0.000447392 [ 0.04 %]\n", + "Report : 1.099e-06 [ 0.00 %]\n", + "Balance : 7.12e-07 [ 0.00 %]\n", + "Adjust : 0.614388 [ 49.05 %]\n", + "Total : 1.25261 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.1%\n", + "--- Coef/DT = 5.3%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.6584e-03 sec\n", - "--- Collate = 6.4123e-05 sec\n", + "--- Update = 7.9386e-03 sec\n", + "--- Collate = 7.5775e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.396469e-02 > 2.000000e-03 [41610]\n", + "--- Min DT=2.502079e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.397079e-02 > 2.000000e-03 [41613]\n", "----------------------------------------------------------------------\n", - " Component | high: 41610/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41613/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.66] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00130994 [ 0.07 %]\n", - "Velocity : 0.0069001 [ 0.37 %]\n", - "Force : 0.595221 [ 31.94 %]\n", - "Coefs : 0.238228 [ 12.78 %]\n", - "Output : 0.132263 [ 7.10 %]\n", - "Levels : 0.000488599 [ 0.03 %]\n", - "Report : 1.622e-06 [ 0.00 %]\n", - "Balance : 8.95e-07 [ 0.00 %]\n", - "Adjust : 0.888462 [ 47.67 %]\n", - "Total : 1.86367 [100.00 %]\n", + "Drift : 0.000819875 [ 0.06 %]\n", + "Velocity : 0.00361512 [ 0.27 %]\n", + "Force : 0.448391 [ 33.25 %]\n", + "Coefs : 0.168461 [ 12.49 %]\n", + "Output : 0.10801 [ 8.01 %]\n", + "Levels : 0.000578253 [ 0.04 %]\n", + "Report : 9.84e-07 [ 0.00 %]\n", + "Balance : 6.03e-07 [ 0.00 %]\n", + "Adjust : 0.618245 [ 45.84 %]\n", + "Total : 1.34858 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.2%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.6547e-03 sec\n", - "--- Collate = 9.7540e-05 sec\n", + "--- Coef/DT = 6.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.1741e-03 sec\n", + "--- Collate = 7.1220e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.396549e-02 > 2.000000e-03 [41618]\n", + "--- Min DT=2.615549e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.396718e-02 > 2.000000e-03 [41620]\n", "----------------------------------------------------------------------\n", - " Component | high: 41618/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41620/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.662] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00155831 [ 0.10 %]\n", - "Velocity : 0.00658655 [ 0.42 %]\n", - "Force : 0.550162 [ 35.31 %]\n", - "Coefs : 0.217783 [ 13.98 %]\n", - "Output : 0.0187388 [ 1.20 %]\n", - "Levels : 0.000466591 [ 0.03 %]\n", - "Report : 1.437e-06 [ 0.00 %]\n", - "Balance : 6.14e-07 [ 0.00 %]\n", - "Adjust : 0.761854 [ 48.90 %]\n", - "Total : 1.55796 [100.00 %]\n", + "Drift : 0.000811882 [ 0.07 %]\n", + "Velocity : 0.00348856 [ 0.28 %]\n", + "Force : 0.444629 [ 36.17 %]\n", + "Coefs : 0.164538 [ 13.38 %]\n", + "Output : 0.00906489 [ 0.74 %]\n", + "Levels : 0.000335097 [ 0.03 %]\n", + "Report : 1.026e-06 [ 0.00 %]\n", + "Balance : 3.83e-07 [ 0.00 %]\n", + "Adjust : 0.606039 [ 49.30 %]\n", + "Total : 1.22936 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.7%\n", + "--- Coef/DT = 5.5%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 1.0045e-02 sec\n", - "--- Collate = 9.3662e-05 sec\n", + "--- Update = 8.4003e-03 sec\n", + "--- Collate = 1.0781e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.832988e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.396242e-02 > 2.000000e-03 [41626]\n", + "--- Min DT=3.099359e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.396385e-02 > 2.000000e-03 [41633]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41626/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41633/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.664] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00133959 [ 0.08 %]\n", - "Velocity : 0.0060397 [ 0.38 %]\n", - "Force : 0.562472 [ 35.68 %]\n", - "Coefs : 0.219357 [ 13.91 %]\n", - "Output : 0.01788 [ 1.13 %]\n", - "Levels : 0.000455173 [ 0.03 %]\n", - "Report : 1.658e-06 [ 0.00 %]\n", - "Balance : 6.48e-07 [ 0.00 %]\n", - "Adjust : 0.768193 [ 48.73 %]\n", - "Total : 1.57651 [100.00 %]\n", + "Drift : 0.000761445 [ 0.06 %]\n", + "Velocity : 0.00355257 [ 0.29 %]\n", + "Force : 0.447489 [ 36.49 %]\n", + "Coefs : 0.163622 [ 13.34 %]\n", + "Output : 0.00942785 [ 0.77 %]\n", + "Levels : 0.000384195 [ 0.03 %]\n", + "Report : 1.472e-06 [ 0.00 %]\n", + "Balance : 5.13e-07 [ 0.00 %]\n", + "Adjust : 0.600705 [ 48.98 %]\n", + "Total : 1.22638 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.6%\n", + "--- Coef/DT = 4.9%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 9.7316e-03 sec\n", - "--- Collate = 8.7796e-05 sec\n", + "--- Update = 8.0684e-03 sec\n", + "--- Collate = 8.1874e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.395698e-02 > 2.000000e-03 [41613]\n", + "--- Max DT=2.395787e-02 > 2.000000e-03 [41617]\n", "----------------------------------------------------------------------\n", - " Component | high: 41613/60000\n", + " Component | high: 41617/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.666] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00134368 [ 0.08 %]\n", - "Velocity : 0.00575588 [ 0.36 %]\n", - "Force : 0.566674 [ 35.78 %]\n", - "Coefs : 0.215691 [ 13.62 %]\n", - "Output : 0.016328 [ 1.03 %]\n", - "Levels : 0.000390793 [ 0.02 %]\n", - "Report : 8.93e-07 [ 0.00 %]\n", - "Balance : 4.45e-07 [ 0.00 %]\n", - "Adjust : 0.776697 [ 49.04 %]\n", - "Total : 1.58365 [100.00 %]\n", + "Drift : 0.000808071 [ 0.07 %]\n", + "Velocity : 0.00350366 [ 0.29 %]\n", + "Force : 0.436709 [ 35.70 %]\n", + "Coefs : 0.167842 [ 13.72 %]\n", + "Output : 0.00971666 [ 0.79 %]\n", + "Levels : 0.00042819 [ 0.04 %]\n", + "Report : 1.156e-06 [ 0.00 %]\n", + "Balance : 5.57e-07 [ 0.00 %]\n", + "Adjust : 0.60383 [ 49.36 %]\n", + "Total : 1.2233 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.8%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.0524e-02 sec\n", - "--- Collate = 8.6673e-05 sec\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.7872e-03 sec\n", + "--- Collate = 8.1257e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.395100e-02 > 2.000000e-03 [41603]\n", + "--- Max DT=2.394867e-02 > 2.000000e-03 [41608]\n", "----------------------------------------------------------------------\n", - " Component | high: 41603/60000\n", + " Component | high: 41608/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.668] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00132975 [ 0.08 %]\n", - "Velocity : 0.00608594 [ 0.39 %]\n", - "Force : 0.567598 [ 36.04 %]\n", - "Coefs : 0.216156 [ 13.72 %]\n", - "Output : 0.0189205 [ 1.20 %]\n", - "Levels : 0.000530117 [ 0.03 %]\n", - "Report : 1.694e-06 [ 0.00 %]\n", - "Balance : 7.25e-07 [ 0.00 %]\n", - "Adjust : 0.763623 [ 48.48 %]\n", - "Total : 1.57504 [100.00 %]\n", + "Drift : 0.000785461 [ 0.07 %]\n", + "Velocity : 0.00363993 [ 0.30 %]\n", + "Force : 0.436385 [ 36.15 %]\n", + "Coefs : 0.163688 [ 13.56 %]\n", + "Output : 0.00906664 [ 0.75 %]\n", + "Levels : 0.000398829 [ 0.03 %]\n", + "Report : 1.401e-06 [ 0.00 %]\n", + "Balance : 5.94e-07 [ 0.00 %]\n", + "Adjust : 0.59261 [ 49.10 %]\n", + "Total : 1.20703 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.4%\n", + "--- Coef/DT = 6.2%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.0156e-03 sec\n", - "--- Collate = 8.5213e-05 sec\n", + "--- Update = 8.3535e-03 sec\n", + "--- Collate = 7.1727e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.849979e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.393609e-02 > 2.000000e-03 [41615]\n", + "--- Min DT=1.944642e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.394194e-02 > 2.000000e-03 [41615]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 1/20000\n", + " Component | low: 2/20000\n", " Component | high: 41615/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -11251,679 +11289,670 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.67] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00173963 [ 0.08 %]\n", - "Velocity : 0.00846796 [ 0.40 %]\n", - "Force : 0.649429 [ 31.04 %]\n", - "Coefs : 0.33338 [ 15.94 %]\n", - "Output : 0.0230164 [ 1.10 %]\n", - "Levels : 0.000614439 [ 0.03 %]\n", - "Report : 1.099e-06 [ 0.00 %]\n", - "Balance : 6.71e-07 [ 0.00 %]\n", - "Adjust : 1.07446 [ 51.36 %]\n", - "Total : 2.09193 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000875285 [ 0.07 %]\n", + "Velocity : 0.00374918 [ 0.30 %]\n", + "Force : 0.443398 [ 35.55 %]\n", + "Coefs : 0.16761 [ 13.44 %]\n", + "Output : 0.010271 [ 0.82 %]\n", + "Levels : 0.000483718 [ 0.04 %]\n", + "Report : 1.314e-06 [ 0.00 %]\n", + "Balance : 5.63e-07 [ 0.00 %]\n", + "Adjust : 0.620318 [ 49.74 %]\n", + "Total : 1.24716 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.4%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.3037e-03 sec\n", - "--- Collate = 7.3078e-05 sec\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 9.0261e-03 sec\n", + "--- Collate = 8.3606e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.392328e-02 > 2.000000e-03 [41602]\n", + "--- Min DT=3.185525e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.393433e-02 > 2.000000e-03 [41605]\n", "----------------------------------------------------------------------\n", - " Component | high: 41602/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41605/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.672] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00181368 [ 0.11 %]\n", - "Velocity : 0.0080821 [ 0.51 %]\n", - "Force : 0.559985 [ 35.09 %]\n", - "Coefs : 0.218771 [ 13.71 %]\n", - "Output : 0.0227293 [ 1.42 %]\n", - "Levels : 0.000536398 [ 0.03 %]\n", - "Report : 1.411e-06 [ 0.00 %]\n", - "Balance : 6.32e-07 [ 0.00 %]\n", - "Adjust : 0.783371 [ 49.08 %]\n", - "Total : 1.59599 [100.00 %]\n", + "Drift : 0.0011915 [ 0.08 %]\n", + "Velocity : 0.00507437 [ 0.36 %]\n", + "Force : 0.499637 [ 35.56 %]\n", + "Coefs : 0.184449 [ 13.13 %]\n", + "Output : 0.0141251 [ 1.01 %]\n", + "Levels : 0.000347012 [ 0.02 %]\n", + "Report : 1.16e-06 [ 0.00 %]\n", + "Balance : 4.17e-07 [ 0.00 %]\n", + "Adjust : 0.699506 [ 49.79 %]\n", + "Total : 1.40494 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 7.3%\n", - "--- Adj/Tot = 1.4%\n", - "--- Update = 9.7101e-03 sec\n", - "--- Collate = 1.7335e-04 sec\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.0006e-03 sec\n", + "--- Collate = 6.3784e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.390914e-02 > 2.000000e-03 [41599]\n", + "--- Max DT=2.392589e-02 > 2.000000e-03 [41598]\n", "----------------------------------------------------------------------\n", - " Component | high: 41599/60000\n", + " Component | high: 41598/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.674] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00197812 [ 0.13 %]\n", - "Velocity : 0.00899736 [ 0.57 %]\n", - "Force : 0.564704 [ 35.73 %]\n", - "Coefs : 0.21235 [ 13.44 %]\n", - "Output : 0.0228773 [ 1.45 %]\n", - "Levels : 0.000573127 [ 0.04 %]\n", - "Report : 1.502e-06 [ 0.00 %]\n", - "Balance : 7.19e-07 [ 0.00 %]\n", - "Adjust : 0.768329 [ 48.61 %]\n", - "Total : 1.58051 [100.00 %]\n", + "Drift : 0.000822 [ 0.07 %]\n", + "Velocity : 0.00429873 [ 0.34 %]\n", + "Force : 0.458281 [ 36.47 %]\n", + "Coefs : 0.168088 [ 13.38 %]\n", + "Output : 0.0114567 [ 0.91 %]\n", + "Levels : 0.000481795 [ 0.04 %]\n", + "Report : 1.506e-06 [ 0.00 %]\n", + "Balance : 5.13e-07 [ 0.00 %]\n", + "Adjust : 0.612655 [ 48.76 %]\n", + "Total : 1.25655 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.2%\n", + "--- Coef/DT = 5.2%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.1841e-03 sec\n", - "--- Collate = 5.3239e-05 sec\n", + "--- Update = 8.8021e-03 sec\n", + "--- Collate = 1.0716e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.349677e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.390320e-02 > 2.000000e-03 [41610]\n", + "--- Min DT=2.496303e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.392038e-02 > 2.000000e-03 [41612]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41610/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41612/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.676] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00199821 [ 0.12 %]\n", - "Velocity : 0.00919965 [ 0.55 %]\n", - "Force : 0.582688 [ 34.74 %]\n", - "Coefs : 0.227704 [ 13.58 %]\n", - "Output : 0.0225368 [ 1.34 %]\n", - "Levels : 0.000662176 [ 0.04 %]\n", - "Report : 1.515e-06 [ 0.00 %]\n", - "Balance : 6.73e-07 [ 0.00 %]\n", - "Adjust : 0.831623 [ 49.59 %]\n", - "Total : 1.6771 [100.00 %]\n", + "Drift : 0.00133823 [ 0.10 %]\n", + "Velocity : 0.00660457 [ 0.49 %]\n", + "Force : 0.481956 [ 35.75 %]\n", + "Coefs : 0.175951 [ 13.05 %]\n", + "Output : 0.0146329 [ 1.09 %]\n", + "Levels : 0.00044321 [ 0.03 %]\n", + "Report : 1.29e-06 [ 0.00 %]\n", + "Balance : 6.37e-07 [ 0.00 %]\n", + "Adjust : 0.666699 [ 49.45 %]\n", + "Total : 1.34825 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.7%\n", + "--- Coef/DT = 5.7%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.6048e-03 sec\n", - "--- Collate = 7.3118e-05 sec\n", + "--- Update = 8.3810e-03 sec\n", + "--- Collate = 1.1409e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.586100e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.390434e-02 > 2.000000e-03 [41619]\n", + "--- Min DT=2.355149e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.391597e-02 > 2.000000e-03 [41618]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 2/20000\n", - " Component | high: 41619/60000\n", + " Component | high: 41618/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.678] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00205963 [ 0.13 %]\n", - "Velocity : 0.00902423 [ 0.57 %]\n", - "Force : 0.566204 [ 35.57 %]\n", - "Coefs : 0.220694 [ 13.86 %]\n", - "Output : 0.0233302 [ 1.47 %]\n", - "Levels : 0.000531448 [ 0.03 %]\n", - "Report : 1.328e-06 [ 0.00 %]\n", - "Balance : 6.88e-07 [ 0.00 %]\n", - "Adjust : 0.76944 [ 48.33 %]\n", - "Total : 1.59201 [100.00 %]\n", + "Drift : 0.00130786 [ 0.10 %]\n", + "Velocity : 0.00629765 [ 0.47 %]\n", + "Force : 0.481561 [ 35.96 %]\n", + "Coefs : 0.173515 [ 12.96 %]\n", + "Output : 0.0152215 [ 1.14 %]\n", + "Levels : 0.000363995 [ 0.03 %]\n", + "Report : 1.286e-06 [ 0.00 %]\n", + "Balance : 6.25e-07 [ 0.00 %]\n", + "Adjust : 0.66018 [ 49.30 %]\n", + "Total : 1.33909 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 5.5%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.0253e-02 sec\n", - "--- Collate = 2.4117e-04 sec\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.6327e-03 sec\n", + "--- Collate = 6.9580e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.390645e-02 > 2.000000e-03 [41631]\n", + "--- Min DT=2.717840e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.391226e-02 > 2.000000e-03 [41620]\n", "----------------------------------------------------------------------\n", - " Component | high: 41631/60000\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41620/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.68] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0017711 [ 0.10 %]\n", - "Velocity : 0.00916142 [ 0.54 %]\n", - "Force : 0.56168 [ 33.08 %]\n", - "Coefs : 0.212903 [ 12.54 %]\n", - "Output : 0.148364 [ 8.74 %]\n", - "Levels : 0.000641695 [ 0.04 %]\n", - "Report : 9.79e-07 [ 0.00 %]\n", - "Balance : 6.04e-07 [ 0.00 %]\n", - "Adjust : 0.762942 [ 44.93 %]\n", - "Total : 1.69818 [100.00 %]\n", + "Drift : 0.00104977 [ 0.07 %]\n", + "Velocity : 0.00485426 [ 0.33 %]\n", + "Force : 0.481161 [ 33.05 %]\n", + "Coefs : 0.176522 [ 12.12 %]\n", + "Output : 0.145948 [ 10.02 %]\n", + "Levels : 0.00057074 [ 0.04 %]\n", + "Report : 1.054e-06 [ 0.00 %]\n", + "Balance : 5.91e-07 [ 0.00 %]\n", + "Adjust : 0.645192 [ 44.32 %]\n", + "Total : 1.45586 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.7%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 8.8994e-03 sec\n", - "--- Collate = 1.8252e-04 sec\n", + "--- Coef/DT = 6.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 9.0575e-03 sec\n", + "--- Collate = 9.1013e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.390777e-02 > 2.000000e-03 [41622]\n", + "--- Min DT=8.280314e-07 < 7.812500e-06 [1]\n", + "--- Max DT=2.390555e-02 > 2.000000e-03 [41625]\n", "----------------------------------------------------------------------\n", - " Component | high: 41622/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41625/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.682] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00178115 [ 0.10 %]\n", - "Velocity : 0.00892891 [ 0.48 %]\n", - "Force : 0.639462 [ 34.71 %]\n", - "Coefs : 0.264402 [ 14.35 %]\n", - "Output : 0.0227103 [ 1.23 %]\n", - "Levels : 0.000643409 [ 0.03 %]\n", - "Report : 8.2e-07 [ 0.00 %]\n", - "Balance : 5.61e-07 [ 0.00 %]\n", - "Adjust : 0.903488 [ 49.05 %]\n", - "Total : 1.84215 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00118353 [ 0.08 %]\n", + "Velocity : 0.00570538 [ 0.40 %]\n", + "Force : 0.519561 [ 36.67 %]\n", + "Coefs : 0.184594 [ 13.03 %]\n", + "Output : 0.0154838 [ 1.09 %]\n", + "Levels : 0.000540963 [ 0.04 %]\n", + "Report : 1.07e-06 [ 0.00 %]\n", + "Balance : 5.28e-07 [ 0.00 %]\n", + "Adjust : 0.689173 [ 48.64 %]\n", + "Total : 1.41686 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.5%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.4372e-03 sec\n", - "--- Collate = 7.4026e-05 sec\n", + "--- Coef/DT = 6.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.9399e-03 sec\n", + "--- Collate = 9.8480e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.743238e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.390530e-02 > 2.000000e-03 [41620]\n", + "--- Min DT=2.637583e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.390536e-02 > 2.000000e-03 [41618]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 41620/60000\n", + " Component | high: 41618/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.684] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00187719 [ 0.12 %]\n", - "Velocity : 0.00845368 [ 0.53 %]\n", - "Force : 0.566155 [ 35.29 %]\n", - "Coefs : 0.214188 [ 13.35 %]\n", - "Output : 0.0224267 [ 1.40 %]\n", - "Levels : 0.000562391 [ 0.04 %]\n", - "Report : 1.168e-06 [ 0.00 %]\n", - "Balance : 6.63e-07 [ 0.00 %]\n", - "Adjust : 0.790032 [ 49.24 %]\n", - "Total : 1.6044 [100.00 %]\n", - "----------------------------------------------------------------------\n", - "\n", - "----------------------------------------------------------------------\n", - "--- Timer info in comp, mlevel=7--------------------------------------\n", - "----------------------------------------------------------------------\n", - " COM: 3.564397e-03\n", - " Position: 8.061058e+00\n", - " --------------------------------------------------\n", - " *** fix pos : 7.731338e+00 \n", - " --------------------------------------------------\n", - " Ang mom: 5.918311e+00\n", - " Zero: 8.176394e-01\n", - " Accel: 5.568024e+01\n", - " Interaction: 1.381205e+01\n", - " --------------------------------------------------\n", - " *** dark halo <=> star disk : 7.606061e+00\n", - " *** star disk <=> dark halo : 6.149928e+00\n", - " --------------------------------------------------\n", - " External: 2.461489e-02\n", - " Expand: 4.335957e+01\n", - " Force: 5.673292e+01\n", - " Elapsed: 3.000009e+02\n", - "----------------------------------------------------------------------\n", - "\n", - "mstep/Mstep=206/256\n", - "0 |169 1 |170 2 |339 3 |677 4 |1355 \n", - "5 |2710 6 |5421 7 |10842 8 |21683 \n", + "Drift : 0.00136589 [ 0.10 %]\n", + "Velocity : 0.00721388 [ 0.55 %]\n", + "Force : 0.472955 [ 35.84 %]\n", + "Coefs : 0.174253 [ 13.21 %]\n", + "Output : 0.0177682 [ 1.35 %]\n", + "Levels : 0.000481865 [ 0.04 %]\n", + "Report : 8.85e-07 [ 0.00 %]\n", + "Balance : 6.51e-07 [ 0.00 %]\n", + "Adjust : 0.644994 [ 48.88 %]\n", + "Total : 1.3196 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.8%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.0837e-03 sec\n", - "--- Collate = 6.4579e-05 sec\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.0398e-03 sec\n", + "--- Collate = 7.4709e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.849843e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.390244e-02 > 2.000000e-03 [41628]\n", + "--- Max DT=2.391049e-02 > 2.000000e-03 [41627]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41628/60000\n", + " Component | high: 41627/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.686] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00194618 [ 0.12 %]\n", - "Velocity : 0.00921404 [ 0.56 %]\n", - "Force : 0.584062 [ 35.20 %]\n", - "Coefs : 0.248924 [ 15.00 %]\n", - "Output : 0.0223814 [ 1.35 %]\n", - "Levels : 0.000512409 [ 0.03 %]\n", - "Report : 1.062e-06 [ 0.00 %]\n", - "Balance : 6.56e-07 [ 0.00 %]\n", - "Adjust : 0.79139 [ 47.70 %]\n", - "Total : 1.65917 [100.00 %]\n", + "Drift : 0.00179009 [ 0.13 %]\n", + "Velocity : 0.00832813 [ 0.62 %]\n", + "Force : 0.468743 [ 34.83 %]\n", + "Coefs : 0.174089 [ 12.94 %]\n", + "Output : 0.0213688 [ 1.59 %]\n", + "Levels : 0.000523115 [ 0.04 %]\n", + "Report : 7.42e-07 [ 0.00 %]\n", + "Balance : 6.76e-07 [ 0.00 %]\n", + "Adjust : 0.670363 [ 49.81 %]\n", + "Total : 1.34583 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.3%\n", + "--- Coef/DT = 5.9%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 8.9581e-03 sec\n", - "--- Collate = 6.9194e-05 sec\n", + "--- Update = 7.6457e-03 sec\n", + "--- Collate = 8.3545e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.234838e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.389599e-02 > 2.000000e-03 [41620]\n", + "--- Min DT=3.400547e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.391375e-02 > 2.000000e-03 [41610]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41620/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41610/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.688] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00189216 [ 0.10 %]\n", - "Velocity : 0.00953916 [ 0.48 %]\n", - "Force : 0.665771 [ 33.82 %]\n", - "Coefs : 0.267697 [ 13.60 %]\n", - "Output : 0.024031 [ 1.22 %]\n", - "Levels : 0.000581828 [ 0.03 %]\n", - "Report : 1.433e-06 [ 0.00 %]\n", - "Balance : 8.34e-07 [ 0.00 %]\n", - "Adjust : 0.998326 [ 50.71 %]\n", - "Total : 1.96861 [100.00 %]\n", + "Drift : 0.00188354 [ 0.14 %]\n", + "Velocity : 0.00841682 [ 0.62 %]\n", + "Force : 0.47845 [ 35.03 %]\n", + "Coefs : 0.174568 [ 12.78 %]\n", + "Output : 0.0216805 [ 1.59 %]\n", + "Levels : 0.000493371 [ 0.04 %]\n", + "Report : 9.38e-07 [ 0.00 %]\n", + "Balance : 5.82e-07 [ 0.00 %]\n", + "Adjust : 0.679778 [ 49.77 %]\n", + "Total : 1.36595 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.3%\n", + "--- Coef/DT = 5.1%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 9.2168e-03 sec\n", - "--- Collate = 6.9501e-05 sec\n", + "--- Update = 7.2339e-03 sec\n", + "--- Collate = 8.0279e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.482580e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.389505e-02 > 2.000000e-03 [41594]\n", + "--- Max DT=2.391181e-02 > 2.000000e-03 [41596]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41594/60000\n", + " Component | high: 41596/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.69] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00197266 [ 0.12 %]\n", - "Velocity : 0.0090635 [ 0.56 %]\n", - "Force : 0.563617 [ 34.62 %]\n", - "Coefs : 0.218187 [ 13.40 %]\n", - "Output : 0.0226897 [ 1.39 %]\n", - "Levels : 0.000630989 [ 0.04 %]\n", - "Report : 1.688e-06 [ 0.00 %]\n", - "Balance : 7.07e-07 [ 0.00 %]\n", - "Adjust : 0.811182 [ 49.83 %]\n", - "Total : 1.62803 [100.00 %]\n", + "Drift : 0.00196753 [ 0.14 %]\n", + "Velocity : 0.00811132 [ 0.60 %]\n", + "Force : 0.479788 [ 35.22 %]\n", + "Coefs : 0.17417 [ 12.79 %]\n", + "Output : 0.0227221 [ 1.67 %]\n", + "Levels : 0.00056092 [ 0.04 %]\n", + "Report : 1.032e-06 [ 0.00 %]\n", + "Balance : 7.69e-07 [ 0.00 %]\n", + "Adjust : 0.674196 [ 49.50 %]\n", + "Total : 1.36212 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.8%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.6155e-03 sec\n", - "--- Collate = 6.4552e-05 sec\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.4022e-03 sec\n", + "--- Collate = 7.6566e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.389501e-02 > 2.000000e-03 [41591]\n", + "--- Max DT=2.390805e-02 > 2.000000e-03 [41585]\n", "----------------------------------------------------------------------\n", - " Component | high: 41591/60000\n", + " Component | high: 41585/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.692] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00185943 [ 0.11 %]\n", - "Velocity : 0.00917424 [ 0.55 %]\n", - "Force : 0.573072 [ 34.35 %]\n", - "Coefs : 0.226044 [ 13.55 %]\n", - "Output : 0.0218542 [ 1.31 %]\n", - "Levels : 0.00884326 [ 0.53 %]\n", - "Report : 1.937e-06 [ 0.00 %]\n", - "Balance : 9.7e-07 [ 0.00 %]\n", - "Adjust : 0.826881 [ 49.56 %]\n", - "Total : 1.66842 [100.00 %]\n", + "Drift : 0.00179143 [ 0.13 %]\n", + "Velocity : 0.00858013 [ 0.63 %]\n", + "Force : 0.485302 [ 35.49 %]\n", + "Coefs : 0.172516 [ 12.62 %]\n", + "Output : 0.0212745 [ 1.56 %]\n", + "Levels : 0.000473528 [ 0.03 %]\n", + "Report : 1.198e-06 [ 0.00 %]\n", + "Balance : 7.52e-07 [ 0.00 %]\n", + "Adjust : 0.676926 [ 49.50 %]\n", + "Total : 1.36746 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.5%\n", + "--- Coef/DT = 5.2%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.1106e-03 sec\n", - "--- Collate = 3.1403e-05 sec\n", + "--- Update = 8.5007e-03 sec\n", + "--- Collate = 7.8821e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.656453e-07 < 7.812500e-06 [1]\n", - "--- Max DT=2.389118e-02 > 2.000000e-03 [41602]\n", + "--- Max DT=2.390654e-02 > 2.000000e-03 [41608]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41602/60000\n", + " Component | high: 41608/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.694] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00190245 [ 0.12 %]\n", - "Velocity : 0.00838586 [ 0.52 %]\n", - "Force : 0.573525 [ 35.62 %]\n", - "Coefs : 0.223903 [ 13.91 %]\n", - "Output : 0.0238301 [ 1.48 %]\n", - "Levels : 0.000619966 [ 0.04 %]\n", - "Report : 1.292e-06 [ 0.00 %]\n", - "Balance : 8.6e-07 [ 0.00 %]\n", - "Adjust : 0.777333 [ 48.27 %]\n", - "Total : 1.61022 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.0018837 [ 0.14 %]\n", + "Velocity : 0.00840416 [ 0.62 %]\n", + "Force : 0.479774 [ 35.36 %]\n", + "Coefs : 0.173711 [ 12.80 %]\n", + "Output : 0.0210406 [ 1.55 %]\n", + "Levels : 0.000649009 [ 0.05 %]\n", + "Report : 7.98e-07 [ 0.00 %]\n", + "Balance : 6.34e-07 [ 0.00 %]\n", + "Adjust : 0.670935 [ 49.44 %]\n", + "Total : 1.35701 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.1%\n", + "--- Coef/DT = 5.2%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.4348e-03 sec\n", - "--- Collate = 7.3259e-05 sec\n", + "--- Update = 7.6606e-03 sec\n", + "--- Collate = 9.0072e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.388811e-02 > 2.000000e-03 [41601]\n", + "--- Max DT=2.390343e-02 > 2.000000e-03 [41602]\n", "----------------------------------------------------------------------\n", - " Component | high: 41601/60000\n", + " Component | high: 41602/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.696] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00194594 [ 0.12 %]\n", - "Velocity : 0.00936869 [ 0.57 %]\n", - "Force : 0.58567 [ 35.58 %]\n", - "Coefs : 0.224893 [ 13.66 %]\n", - "Output : 0.0241875 [ 1.47 %]\n", - "Levels : 0.000600335 [ 0.04 %]\n", - "Report : 1.432e-06 [ 0.00 %]\n", - "Balance : 7.71e-07 [ 0.00 %]\n", - "Adjust : 0.798457 [ 48.51 %]\n", - "Total : 1.64591 [100.00 %]\n", + "Drift : 0.00169134 [ 0.13 %]\n", + "Velocity : 0.00799941 [ 0.60 %]\n", + "Force : 0.462825 [ 34.99 %]\n", + "Coefs : 0.17248 [ 13.04 %]\n", + "Output : 0.0212257 [ 1.60 %]\n", + "Levels : 0.000562481 [ 0.04 %]\n", + "Report : 1.26e-06 [ 0.00 %]\n", + "Balance : 7.3e-07 [ 0.00 %]\n", + "Adjust : 0.655475 [ 49.55 %]\n", + "Total : 1.32288 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.9%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.8389e-03 sec\n", - "--- Collate = 8.5010e-05 sec\n", + "--- Coef/DT = 6.1%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.1675e-03 sec\n", + "--- Collate = 6.8595e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.388648e-02 > 2.000000e-03 [41603]\n", + "--- Max DT=2.390012e-02 > 2.000000e-03 [41611]\n", "----------------------------------------------------------------------\n", - " Component | high: 41603/60000\n", + " Component | high: 41611/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.698] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00196182 [ 0.08 %]\n", - "Velocity : 0.00962776 [ 0.41 %]\n", - "Force : 0.669743 [ 28.55 %]\n", - "Coefs : 0.523247 [ 22.31 %]\n", - "Output : 0.0246917 [ 1.05 %]\n", - "Levels : 0.00059306 [ 0.03 %]\n", - "Report : 1.599e-06 [ 0.00 %]\n", - "Balance : 8.42e-07 [ 0.00 %]\n", - "Adjust : 1.1151 [ 47.54 %]\n", - "Total : 2.34582 [100.00 %]\n", + "Drift : 0.001803 [ 0.14 %]\n", + "Velocity : 0.00810671 [ 0.62 %]\n", + "Force : 0.467707 [ 35.51 %]\n", + "Coefs : 0.167902 [ 12.75 %]\n", + "Output : 0.0205594 [ 1.56 %]\n", + "Levels : 0.000564169 [ 0.04 %]\n", + "Report : 8.12e-07 [ 0.00 %]\n", + "Balance : 7.5e-07 [ 0.00 %]\n", + "Adjust : 0.649894 [ 49.34 %]\n", + "Total : 1.31717 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.7%\n", + "--- Coef/DT = 5.1%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.3895e-03 sec\n", - "--- Collate = 6.9583e-05 sec\n", + "--- Update = 7.8042e-03 sec\n", + "--- Collate = 9.1874e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.560644e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.389499e-02 > 2.000000e-03 [41606]\n", + "--- Min DT=2.599502e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.389661e-02 > 2.000000e-03 [41605]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41606/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41605/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.7] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00201113 [ 0.12 %]\n", - "Velocity : 0.00939144 [ 0.55 %]\n", - "Force : 0.559498 [ 32.69 %]\n", - "Coefs : 0.22131 [ 12.93 %]\n", - "Output : 0.150269 [ 8.78 %]\n", - "Levels : 0.000734374 [ 0.04 %]\n", - "Report : 1.314e-06 [ 0.00 %]\n", - "Balance : 6.77e-07 [ 0.00 %]\n", - "Adjust : 0.767761 [ 44.85 %]\n", - "Total : 1.71178 [100.00 %]\n", + "Drift : 0.00183383 [ 0.13 %]\n", + "Velocity : 0.00807753 [ 0.58 %]\n", + "Force : 0.44642 [ 32.27 %]\n", + "Coefs : 0.163908 [ 11.85 %]\n", + "Output : 0.130011 [ 9.40 %]\n", + "Levels : 0.00053518 [ 0.04 %]\n", + "Report : 9.93e-07 [ 0.00 %]\n", + "Balance : 6.39e-07 [ 0.00 %]\n", + "Adjust : 0.632149 [ 45.69 %]\n", + "Total : 1.38351 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.2%\n", + "--- Coef/DT = 5.5%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 8.7116e-03 sec\n", - "--- Collate = 1.1584e-04 sec\n", + "--- Update = 7.7870e-03 sec\n", + "--- Collate = 8.5158e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.390509e-02 > 2.000000e-03 [41596]\n", + "--- Max DT=2.389357e-02 > 2.000000e-03 [41598]\n", "----------------------------------------------------------------------\n", - " Component | high: 41596/60000\n", + " Component | high: 41598/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.702] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00207873 [ 0.13 %]\n", - "Velocity : 0.00977002 [ 0.61 %]\n", - "Force : 0.570682 [ 35.54 %]\n", - "Coefs : 0.223318 [ 13.91 %]\n", - "Output : 0.0244977 [ 1.53 %]\n", - "Levels : 0.000612272 [ 0.04 %]\n", - "Report : 1.421e-06 [ 0.00 %]\n", - "Balance : 6.98e-07 [ 0.00 %]\n", - "Adjust : 0.773988 [ 48.20 %]\n", - "Total : 1.60567 [100.00 %]\n", + "Drift : 0.00189365 [ 0.14 %]\n", + "Velocity : 0.00876447 [ 0.67 %]\n", + "Force : 0.462081 [ 35.19 %]\n", + "Coefs : 0.169808 [ 12.93 %]\n", + "Output : 0.0210413 [ 1.60 %]\n", + "Levels : 0.000549673 [ 0.04 %]\n", + "Report : 9.37e-07 [ 0.00 %]\n", + "Balance : 7.32e-07 [ 0.00 %]\n", + "Adjust : 0.648224 [ 49.37 %]\n", + "Total : 1.31294 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.3%\n", + "--- Coef/DT = 5.5%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.1150e-03 sec\n", - "--- Collate = 7.6223e-05 sec\n", + "--- Update = 7.7512e-03 sec\n", + "--- Collate = 7.4623e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.653178e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.391183e-02 > 2.000000e-03 [41619]\n", + "--- Max DT=2.389586e-02 > 2.000000e-03 [41621]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41619/60000\n", + " Component | high: 41621/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.704] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00195691 [ 0.12 %]\n", - "Velocity : 0.00882812 [ 0.56 %]\n", - "Force : 0.559554 [ 35.71 %]\n", - "Coefs : 0.21809 [ 13.92 %]\n", - "Output : 0.0227081 [ 1.45 %]\n", - "Levels : 0.000611808 [ 0.04 %]\n", - "Report : 1.255e-06 [ 0.00 %]\n", - "Balance : 5.83e-07 [ 0.00 %]\n", - "Adjust : 0.75442 [ 48.15 %]\n", - "Total : 1.5669 [100.00 %]\n", + "Drift : 0.00165259 [ 0.13 %]\n", + "Velocity : 0.00751124 [ 0.59 %]\n", + "Force : 0.455016 [ 35.66 %]\n", + "Coefs : 0.162516 [ 12.74 %]\n", + "Output : 0.0199252 [ 1.56 %]\n", + "Levels : 0.000518534 [ 0.04 %]\n", + "Report : 1.046e-06 [ 0.00 %]\n", + "Balance : 6.86e-07 [ 0.00 %]\n", + "Adjust : 0.628377 [ 49.24 %]\n", + "Total : 1.27608 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.0%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.2544e-03 sec\n", - "--- Collate = 9.3868e-05 sec\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.4794e-03 sec\n", + "--- Collate = 6.9541e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.391640e-02 > 2.000000e-03 [41604]\n", + "--- Max DT=2.389614e-02 > 2.000000e-03 [41613]\n", "----------------------------------------------------------------------\n", - " Component | high: 41604/60000\n", + " Component | high: 41613/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.706] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00201859 [ 0.13 %]\n", - "Velocity : 0.00912972 [ 0.57 %]\n", - "Force : 0.568048 [ 35.54 %]\n", - "Coefs : 0.22212 [ 13.90 %]\n", - "Output : 0.0227059 [ 1.42 %]\n", - "Levels : 0.0005607 [ 0.04 %]\n", - "Report : 1.248e-06 [ 0.00 %]\n", - "Balance : 7.13e-07 [ 0.00 %]\n", - "Adjust : 0.773182 [ 48.37 %]\n", - "Total : 1.59847 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00172792 [ 0.13 %]\n", + "Velocity : 0.00767826 [ 0.58 %]\n", + "Force : 0.467294 [ 35.42 %]\n", + "Coefs : 0.170579 [ 12.93 %]\n", + "Output : 0.0208518 [ 1.58 %]\n", + "Levels : 0.000466314 [ 0.04 %]\n", + "Report : 9.63e-07 [ 0.00 %]\n", + "Balance : 6.98e-07 [ 0.00 %]\n", + "Adjust : 0.649914 [ 49.27 %]\n", + "Total : 1.31911 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.9%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.3974e-03 sec\n", - "--- Collate = 1.1369e-04 sec\n", + "--- Coef/DT = 6.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.3285e-03 sec\n", + "--- Collate = 7.9708e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.828110e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.391290e-02 > 2.000000e-03 [41627]\n", + "--- Min DT=3.390945e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.389348e-02 > 2.000000e-03 [41631]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 41626/60000\n", - " Component | high: 1/20000\n", + " Component | high: 41631/60000\n", + " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.708] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00194455 [ 0.11 %]\n", - "Velocity : 0.00886795 [ 0.51 %]\n", - "Force : 0.589556 [ 33.74 %]\n", - "Coefs : 0.242454 [ 13.88 %]\n", - "Output : 0.023341 [ 1.34 %]\n", - "Levels : 0.000609465 [ 0.03 %]\n", - "Report : 1.297e-06 [ 0.00 %]\n", - "Balance : 8.01e-07 [ 0.00 %]\n", - "Adjust : 0.879877 [ 50.35 %]\n", - "Total : 1.74738 [100.00 %]\n", + "Drift : 0.00187096 [ 0.14 %]\n", + "Velocity : 0.00829418 [ 0.62 %]\n", + "Force : 0.476924 [ 35.60 %]\n", + "Coefs : 0.172698 [ 12.89 %]\n", + "Output : 0.0209315 [ 1.56 %]\n", + "Levels : 0.000515768 [ 0.04 %]\n", + "Report : 9.42e-07 [ 0.00 %]\n", + "Balance : 7.3e-07 [ 0.00 %]\n", + "Adjust : 0.657626 [ 49.09 %]\n", + "Total : 1.3395 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.0%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.3280e-03 sec\n", - "--- Collate = 7.7322e-05 sec\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.9639e-03 sec\n", + "--- Collate = 8.6344e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.863989e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.390479e-02 > 2.000000e-03 [41629]\n", + "--- Max DT=2.388917e-02 > 2.000000e-03 [41629]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", " Component | high: 41629/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -11931,321 +11960,330 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.71] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00191733 [ 0.12 %]\n", - "Velocity : 0.00915346 [ 0.56 %]\n", - "Force : 0.589474 [ 35.91 %]\n", - "Coefs : 0.231528 [ 14.10 %]\n", - "Output : 0.0228742 [ 1.39 %]\n", - "Levels : 0.000572396 [ 0.03 %]\n", - "Report : 1.581e-06 [ 0.00 %]\n", - "Balance : 8.25e-07 [ 0.00 %]\n", - "Adjust : 0.785388 [ 47.84 %]\n", - "Total : 1.64164 [100.00 %]\n", + "Drift : 0.00183103 [ 0.13 %]\n", + "Velocity : 0.00869478 [ 0.62 %]\n", + "Force : 0.50276 [ 35.75 %]\n", + "Coefs : 0.179395 [ 12.75 %]\n", + "Output : 0.0217261 [ 1.54 %]\n", + "Levels : 0.000617526 [ 0.04 %]\n", + "Report : 8.93e-07 [ 0.00 %]\n", + "Balance : 7.92e-07 [ 0.00 %]\n", + "Adjust : 0.690808 [ 49.12 %]\n", + "Total : 1.40647 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.3%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.5411e-03 sec\n", - "--- Collate = 1.0152e-04 sec\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.9969e-03 sec\n", + "--- Collate = 7.7836e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.389557e-02 > 2.000000e-03 [41625]\n", + "--- Max DT=2.388767e-02 > 2.000000e-03 [41621]\n", "----------------------------------------------------------------------\n", - " Component | high: 41624/60000\n", - " Component | high: 1/20000\n", + " Component | high: 41621/60000\n", + " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.712] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00152625 [ 0.09 %]\n", - "Velocity : 0.00960837 [ 0.59 %]\n", - "Force : 0.578168 [ 35.73 %]\n", - "Coefs : 0.215519 [ 13.32 %]\n", - "Output : 0.0319185 [ 1.97 %]\n", - "Levels : 0.000572263 [ 0.04 %]\n", - "Report : 1.079e-06 [ 0.00 %]\n", - "Balance : 7.47e-07 [ 0.00 %]\n", - "Adjust : 0.779904 [ 48.20 %]\n", - "Total : 1.61794 [100.00 %]\n", + "Drift : 0.0018768 [ 0.14 %]\n", + "Velocity : 0.00847393 [ 0.64 %]\n", + "Force : 0.468359 [ 35.29 %]\n", + "Coefs : 0.170278 [ 12.83 %]\n", + "Output : 0.0203056 [ 1.53 %]\n", + "Levels : 0.000511204 [ 0.04 %]\n", + "Report : 1.064e-06 [ 0.00 %]\n", + "Balance : 6.17e-07 [ 0.00 %]\n", + "Adjust : 0.65677 [ 49.49 %]\n", + "Total : 1.32715 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.0%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.6079e-03 sec\n", - "--- Collate = 6.1577e-05 sec\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.0%\n", + "--- Update = 7.7998e-03 sec\n", + "--- Collate = 6.1687e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.107979e-06 < 7.812500e-06 [3]\n", - "--- Max DT=2.388997e-02 > 2.000000e-03 [41645]\n", + "--- Min DT=1.145861e-06 < 7.812500e-06 [4]\n", + "--- Max DT=2.389020e-02 > 2.000000e-03 [41643]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 3/20000\n", - " Component | high: 41645/60000\n", + " Component | low: 4/20000\n", + " Component | high: 41643/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.714] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00187472 [ 0.11 %]\n", - "Velocity : 0.00932967 [ 0.56 %]\n", - "Force : 0.584494 [ 35.08 %]\n", - "Coefs : 0.234061 [ 14.05 %]\n", - "Output : 0.0239589 [ 1.44 %]\n", - "Levels : 0.000637264 [ 0.04 %]\n", - "Report : 1.019e-06 [ 0.00 %]\n", - "Balance : 5.63e-07 [ 0.00 %]\n", - "Adjust : 0.811078 [ 48.68 %]\n", - "Total : 1.66617 [100.00 %]\n", + "Drift : 0.00183151 [ 0.14 %]\n", + "Velocity : 0.00839952 [ 0.63 %]\n", + "Force : 0.472247 [ 35.15 %]\n", + "Coefs : 0.172971 [ 12.88 %]\n", + "Output : 0.0210674 [ 1.57 %]\n", + "Levels : 0.000530582 [ 0.04 %]\n", + "Report : 9.46e-07 [ 0.00 %]\n", + "Balance : 6.67e-07 [ 0.00 %]\n", + "Adjust : 0.66571 [ 49.56 %]\n", + "Total : 1.34335 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 9.0%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.6858e-03 sec\n", - "--- Collate = 7.2473e-05 sec\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.7881e-03 sec\n", + "--- Collate = 1.1281e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.923637e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.389026e-02 > 2.000000e-03 [41655]\n", + "--- Min DT=1.802175e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.388826e-02 > 2.000000e-03 [41650]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 2/20000\n", - " Component | high: 41655/60000\n", + " Component | high: 41650/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.716] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00175373 [ 0.11 %]\n", - "Velocity : 0.00924539 [ 0.57 %]\n", - "Force : 0.576698 [ 35.72 %]\n", - "Coefs : 0.219887 [ 13.62 %]\n", - "Output : 0.0226896 [ 1.41 %]\n", - "Levels : 0.000549367 [ 0.03 %]\n", - "Report : 1.473e-06 [ 0.00 %]\n", - "Balance : 5.68e-07 [ 0.00 %]\n", - "Adjust : 0.782865 [ 48.49 %]\n", - "Total : 1.61441 [100.00 %]\n", + "Drift : 0.00193866 [ 0.15 %]\n", + "Velocity : 0.00832792 [ 0.63 %]\n", + "Force : 0.466871 [ 35.41 %]\n", + "Coefs : 0.16931 [ 12.84 %]\n", + "Output : 0.021002 [ 1.59 %]\n", + "Levels : 0.000472269 [ 0.04 %]\n", + "Report : 9.95e-07 [ 0.00 %]\n", + "Balance : 7.53e-07 [ 0.00 %]\n", + "Adjust : 0.650041 [ 49.30 %]\n", + "Total : 1.31858 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.0%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.0836e-03 sec\n", - "--- Collate = 6.9665e-05 sec\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.5723e-03 sec\n", + "--- Collate = 6.7786e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.389596e-02 > 2.000000e-03 [41633]\n", + "--- Max DT=2.389045e-02 > 2.000000e-03 [41637]\n", "----------------------------------------------------------------------\n", - " Component | high: 41633/60000\n", + " Component | high: 41637/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.718] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00200815 [ 0.12 %]\n", - "Velocity : 0.00921328 [ 0.56 %]\n", - "Force : 0.594974 [ 36.04 %]\n", - "Coefs : 0.223419 [ 13.53 %]\n", - "Output : 0.0225431 [ 1.37 %]\n", - "Levels : 0.000592918 [ 0.04 %]\n", - "Report : 8.29e-07 [ 0.00 %]\n", - "Balance : 4.64e-07 [ 0.00 %]\n", - "Adjust : 0.797563 [ 48.31 %]\n", - "Total : 1.65103 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00175139 [ 0.13 %]\n", + "Velocity : 0.00816954 [ 0.60 %]\n", + "Force : 0.48034 [ 35.41 %]\n", + "Coefs : 0.173039 [ 12.75 %]\n", + "Output : 0.0213812 [ 1.58 %]\n", + "Levels : 0.00058854 [ 0.04 %]\n", + "Report : 9.24e-07 [ 0.00 %]\n", + "Balance : 7.14e-07 [ 0.00 %]\n", + "Adjust : 0.670752 [ 49.44 %]\n", + "Total : 1.35664 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.5%\n", + "--- Coef/DT = 5.2%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 8.8756e-03 sec\n", - "--- Collate = 7.4921e-05 sec\n", + "--- Update = 8.1837e-03 sec\n", + "--- Collate = 8.5536e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.389879e-02 > 2.000000e-03 [41627]\n", + "--- Min DT=1.226233e-06 < 7.812500e-06 [4]\n", + "--- Max DT=2.388857e-02 > 2.000000e-03 [41623]\n", "----------------------------------------------------------------------\n", - " Component | high: 41626/60000\n", - " Component | high: 1/20000\n", + " Component | low: 0/60000\n", + " Component | low: 4/20000\n", + " Component | high: 41623/60000\n", + " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.72] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.001677 [ 0.08 %]\n", - "Velocity : 0.00891718 [ 0.44 %]\n", - "Force : 0.617324 [ 30.79 %]\n", - "Coefs : 0.286427 [ 14.28 %]\n", - "Output : 0.142513 [ 7.11 %]\n", - "Levels : 0.000668612 [ 0.03 %]\n", - "Report : 9.96e-07 [ 0.00 %]\n", - "Balance : 6.28e-07 [ 0.00 %]\n", - "Adjust : 0.947002 [ 47.23 %]\n", - "Total : 2.00524 [100.00 %]\n", + "Drift : 0.00182458 [ 0.13 %]\n", + "Velocity : 0.00777462 [ 0.55 %]\n", + "Force : 0.457149 [ 32.33 %]\n", + "Coefs : 0.165806 [ 11.73 %]\n", + "Output : 0.144618 [ 10.23 %]\n", + "Levels : 0.000557077 [ 0.04 %]\n", + "Report : 1.295e-06 [ 0.00 %]\n", + "Balance : 6.46e-07 [ 0.00 %]\n", + "Adjust : 0.635628 [ 44.95 %]\n", + "Total : 1.41394 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.6%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.3181e-03 sec\n", - "--- Collate = 6.0572e-05 sec\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.9011e-03 sec\n", + "--- Collate = 8.9395e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.389243e-02 > 2.000000e-03 [41630]\n", + "--- Min DT=2.777387e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.388977e-02 > 2.000000e-03 [41625]\n", "----------------------------------------------------------------------\n", - " Component | high: 41630/60000\n", + " Component | low: 1/60000\n", + " Component | low: 0/20000\n", + " Component | high: 41625/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.722] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00184211 [ 0.12 %]\n", - "Velocity : 0.00913092 [ 0.57 %]\n", - "Force : 0.588205 [ 36.76 %]\n", - "Coefs : 0.221073 [ 13.82 %]\n", - "Output : 0.0221274 [ 1.38 %]\n", - "Levels : 0.000496057 [ 0.03 %]\n", - "Report : 1.429e-06 [ 0.00 %]\n", - "Balance : 6.5e-07 [ 0.00 %]\n", - "Adjust : 0.756394 [ 47.28 %]\n", - "Total : 1.59998 [100.00 %]\n", + "Drift : 0.00187835 [ 0.15 %]\n", + "Velocity : 0.00813281 [ 0.64 %]\n", + "Force : 0.451842 [ 35.49 %]\n", + "Coefs : 0.164825 [ 12.95 %]\n", + "Output : 0.019536 [ 1.53 %]\n", + "Levels : 0.000547664 [ 0.04 %]\n", + "Report : 1.154e-06 [ 0.00 %]\n", + "Balance : 5.4e-07 [ 0.00 %]\n", + "Adjust : 0.625829 [ 49.15 %]\n", + "Total : 1.27322 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.9%\n", + "--- Coef/DT = 5.5%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.2831e-03 sec\n", - "--- Collate = 7.4464e-05 sec\n", + "--- Update = 7.6626e-03 sec\n", + "--- Collate = 1.1393e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.770314e-06 < 7.812500e-06 [3]\n", - "--- Max DT=2.388881e-02 > 2.000000e-03 [41635]\n", + "--- Min DT=2.056846e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.389058e-02 > 2.000000e-03 [41623]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 3/20000\n", - " Component | high: 41635/60000\n", + " Component | high: 41623/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.724] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00202496 [ 0.12 %]\n", - "Velocity : 0.00895714 [ 0.55 %]\n", - "Force : 0.602957 [ 36.74 %]\n", - "Coefs : 0.226147 [ 13.78 %]\n", - "Output : 0.0225425 [ 1.37 %]\n", - "Levels : 0.000578628 [ 0.04 %]\n", - "Report : 1.398e-06 [ 0.00 %]\n", - "Balance : 5.89e-07 [ 0.00 %]\n", - "Adjust : 0.777037 [ 47.35 %]\n", - "Total : 1.64102 [100.00 %]\n", + "Drift : 0.00180074 [ 0.14 %]\n", + "Velocity : 0.00803553 [ 0.62 %]\n", + "Force : 0.462151 [ 35.41 %]\n", + "Coefs : 0.169386 [ 12.98 %]\n", + "Output : 0.0202183 [ 1.55 %]\n", + "Levels : 0.000511426 [ 0.04 %]\n", + "Report : 8.76e-07 [ 0.00 %]\n", + "Balance : 5.94e-07 [ 0.00 %]\n", + "Adjust : 0.642262 [ 49.22 %]\n", + "Total : 1.30501 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.8%\n", + "--- Coef/DT = 5.0%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 8.2530e-03 sec\n", - "--- Collate = 6.6729e-05 sec\n", + "--- Update = 7.2752e-03 sec\n", + "--- Collate = 7.0077e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.388836e-02 > 2.000000e-03 [41646]\n", + "--- Max DT=2.388806e-02 > 2.000000e-03 [41645]\n", "----------------------------------------------------------------------\n", - " Component | high: 41646/60000\n", + " Component | high: 41645/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.726] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00206368 [ 0.13 %]\n", - "Velocity : 0.00916406 [ 0.57 %]\n", - "Force : 0.555895 [ 34.53 %]\n", - "Coefs : 0.217628 [ 13.52 %]\n", - "Output : 0.022693 [ 1.41 %]\n", - "Levels : 0.000578191 [ 0.04 %]\n", - "Report : 1.384e-06 [ 0.00 %]\n", - "Balance : 5.41e-07 [ 0.00 %]\n", - "Adjust : 0.800967 [ 49.76 %]\n", - "Total : 1.60971 [100.00 %]\n", + "Drift : 0.00178225 [ 0.14 %]\n", + "Velocity : 0.00820796 [ 0.64 %]\n", + "Force : 0.457802 [ 35.64 %]\n", + "Coefs : 0.166978 [ 13.00 %]\n", + "Output : 0.0198238 [ 1.54 %]\n", + "Levels : 0.000500905 [ 0.04 %]\n", + "Report : 1.029e-06 [ 0.00 %]\n", + "Balance : 6.04e-07 [ 0.00 %]\n", + "Adjust : 0.628931 [ 48.96 %]\n", + "Total : 1.28463 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.0%\n", + "--- Coef/DT = 7.2%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 9.2475e-03 sec\n", - "--- Collate = 7.0116e-05 sec\n", + "--- Update = 7.7195e-03 sec\n", + "--- Collate = 7.2877e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.389084e-02 > 2.000000e-03 [41649]\n", + "--- Max DT=2.388829e-02 > 2.000000e-03 [41645]\n", "----------------------------------------------------------------------\n", - " Component | high: 41649/60000\n", + " Component | high: 41645/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.728] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0020014 [ 0.12 %]\n", - "Velocity : 0.0090935 [ 0.56 %]\n", - "Force : 0.563427 [ 34.86 %]\n", - "Coefs : 0.224674 [ 13.90 %]\n", - "Output : 0.0224253 [ 1.39 %]\n", - "Levels : 0.000645929 [ 0.04 %]\n", - "Report : 8.33e-07 [ 0.00 %]\n", - "Balance : 4.32e-07 [ 0.00 %]\n", - "Adjust : 0.793463 [ 49.09 %]\n", - "Total : 1.61645 [100.00 %]\n", + "Drift : 0.00185716 [ 0.14 %]\n", + "Velocity : 0.0076257 [ 0.59 %]\n", + "Force : 0.450362 [ 34.85 %]\n", + "Coefs : 0.163348 [ 12.64 %]\n", + "Output : 0.0273481 [ 2.12 %]\n", + "Levels : 0.000491135 [ 0.04 %]\n", + "Report : 1.199e-06 [ 0.00 %]\n", + "Balance : 6.49e-07 [ 0.00 %]\n", + "Adjust : 0.640817 [ 49.58 %]\n", + "Total : 1.29244 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 5.2%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.4458e-03 sec\n", - "--- Collate = 6.3797e-05 sec\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.3775e-03 sec\n", + "--- Collate = 7.4070e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.329613e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.389003e-02 > 2.000000e-03 [41681]\n", + "--- Max DT=2.388508e-02 > 2.000000e-03 [41681]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", " Component | high: 41681/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -12253,343 +12291,376 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.73] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00171972 [ 0.10 %]\n", - "Velocity : 0.00868443 [ 0.48 %]\n", - "Force : 0.620403 [ 34.61 %]\n", - "Coefs : 0.245415 [ 13.69 %]\n", - "Output : 0.0229729 [ 1.28 %]\n", - "Levels : 0.000588654 [ 0.03 %]\n", - "Report : 8.01e-07 [ 0.00 %]\n", - "Balance : 4.26e-07 [ 0.00 %]\n", - "Adjust : 0.89203 [ 49.76 %]\n", - "Total : 1.7925 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00179596 [ 0.14 %]\n", + "Velocity : 0.00794751 [ 0.63 %]\n", + "Force : 0.447262 [ 35.17 %]\n", + "Coefs : 0.163926 [ 12.89 %]\n", + "Output : 0.0196858 [ 1.55 %]\n", + "Levels : 0.000636343 [ 0.05 %]\n", + "Report : 1.368e-06 [ 0.00 %]\n", + "Balance : 7.29e-07 [ 0.00 %]\n", + "Adjust : 0.629706 [ 49.52 %]\n", + "Total : 1.27157 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.5%\n", + "--- Coef/DT = 4.7%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.6969e-03 sec\n", - "--- Collate = 7.9190e-05 sec\n", + "--- Update = 8.2355e-03 sec\n", + "--- Collate = 9.2509e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.388849e-02 > 2.000000e-03 [41685]\n", + "--- Min DT=3.740026e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.388478e-02 > 2.000000e-03 [41678]\n", "----------------------------------------------------------------------\n", - " Component | high: 41685/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41678/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.732] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00169948 [ 0.10 %]\n", - "Velocity : 0.0086777 [ 0.53 %]\n", - "Force : 0.578407 [ 35.04 %]\n", - "Coefs : 0.226437 [ 13.72 %]\n", - "Output : 0.0226627 [ 1.37 %]\n", - "Levels : 0.000606701 [ 0.04 %]\n", - "Report : 9.3e-07 [ 0.00 %]\n", - "Balance : 4.67e-07 [ 0.00 %]\n", - "Adjust : 0.811462 [ 49.16 %]\n", - "Total : 1.65066 [100.00 %]\n", + "Drift : 0.0017196 [ 0.13 %]\n", + "Velocity : 0.00755212 [ 0.58 %]\n", + "Force : 0.447421 [ 34.65 %]\n", + "Coefs : 0.164705 [ 12.75 %]\n", + "Output : 0.0200573 [ 1.55 %]\n", + "Levels : 0.000566846 [ 0.04 %]\n", + "Report : 1.111e-06 [ 0.00 %]\n", + "Balance : 7.29e-07 [ 0.00 %]\n", + "Adjust : 0.648782 [ 50.24 %]\n", + "Total : 1.29143 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.0%\n", - "--- Adj/Tot = 1.5%\n", - "--- Update = 9.8417e-03 sec\n", - "--- Collate = 3.1743e-04 sec\n", + "--- Coef/DT = 4.7%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.8859e-03 sec\n", + "--- Collate = 8.3280e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.388811e-02 > 2.000000e-03 [41692]\n", + "--- Min DT=3.904250e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.389094e-02 > 2.000000e-03 [41697]\n", "----------------------------------------------------------------------\n", - " Component | high: 41692/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41697/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.734] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00147424 [ 0.09 %]\n", - "Velocity : 0.00705735 [ 0.44 %]\n", - "Force : 0.57896 [ 36.32 %]\n", - "Coefs : 0.223554 [ 14.02 %]\n", - "Output : 0.0176476 [ 1.11 %]\n", - "Levels : 0.000425217 [ 0.03 %]\n", - "Report : 1.343e-06 [ 0.00 %]\n", - "Balance : 7.53e-07 [ 0.00 %]\n", - "Adjust : 0.764293 [ 47.94 %]\n", - "Total : 1.59413 [100.00 %]\n", + "Drift : 0.00183158 [ 0.13 %]\n", + "Velocity : 0.00834635 [ 0.61 %]\n", + "Force : 0.482514 [ 35.32 %]\n", + "Coefs : 0.173429 [ 12.69 %]\n", + "Output : 0.0221596 [ 1.62 %]\n", + "Levels : 0.000606594 [ 0.04 %]\n", + "Report : 9.99e-07 [ 0.00 %]\n", + "Balance : 6.25e-07 [ 0.00 %]\n", + "Adjust : 0.676727 [ 49.53 %]\n", + "Total : 1.36622 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.4%\n", + "--- Coef/DT = 5.6%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.3449e-03 sec\n", - "--- Collate = 9.7552e-05 sec\n", + "--- Update = 7.7435e-03 sec\n", + "--- Collate = 7.8757e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.388668e-02 > 2.000000e-03 [41688]\n", + "--- Min DT=3.473492e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.389459e-02 > 2.000000e-03 [41693]\n", "----------------------------------------------------------------------\n", - " Component | high: 41688/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41693/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.736] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0014144 [ 0.09 %]\n", - "Velocity : 0.00605714 [ 0.38 %]\n", - "Force : 0.564437 [ 35.80 %]\n", - "Coefs : 0.219973 [ 13.95 %]\n", - "Output : 0.0189987 [ 1.21 %]\n", - "Levels : 0.000498716 [ 0.03 %]\n", - "Report : 1.273e-06 [ 0.00 %]\n", - "Balance : 7.14e-07 [ 0.00 %]\n", - "Adjust : 0.764311 [ 48.48 %]\n", - "Total : 1.57643 [100.00 %]\n", + "Drift : 0.00168701 [ 0.13 %]\n", + "Velocity : 0.00769356 [ 0.59 %]\n", + "Force : 0.452618 [ 34.69 %]\n", + "Coefs : 0.166522 [ 12.76 %]\n", + "Output : 0.0213625 [ 1.64 %]\n", + "Levels : 0.000575898 [ 0.04 %]\n", + "Report : 1.183e-06 [ 0.00 %]\n", + "Balance : 6.26e-07 [ 0.00 %]\n", + "Adjust : 0.653527 [ 50.09 %]\n", + "Total : 1.3046 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.6%\n", + "--- Coef/DT = 5.7%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0476e-02 sec\n", - "--- Collate = 7.9703e-05 sec\n", + "--- Update = 7.2140e-03 sec\n", + "--- Collate = 7.4946e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.388086e-02 > 2.000000e-03 [41687]\n", + "--- Max DT=2.389892e-02 > 2.000000e-03 [41690]\n", "----------------------------------------------------------------------\n", - " Component | high: 41687/60000\n", + " Component | high: 41690/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.738] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00125047 [ 0.08 %]\n", - "Velocity : 0.0057338 [ 0.36 %]\n", - "Force : 0.577258 [ 35.83 %]\n", - "Coefs : 0.229406 [ 14.24 %]\n", - "Output : 0.0182861 [ 1.13 %]\n", - "Levels : 0.000555132 [ 0.03 %]\n", - "Report : 7.83e-07 [ 0.00 %]\n", - "Balance : 5.15e-07 [ 0.00 %]\n", - "Adjust : 0.777996 [ 48.29 %]\n", - "Total : 1.6112 [100.00 %]\n", + "Drift : 0.00176596 [ 0.13 %]\n", + "Velocity : 0.00827056 [ 0.63 %]\n", + "Force : 0.460874 [ 35.05 %]\n", + "Coefs : 0.171142 [ 13.02 %]\n", + "Output : 0.0204856 [ 1.56 %]\n", + "Levels : 0.000502608 [ 0.04 %]\n", + "Report : 1.403e-06 [ 0.00 %]\n", + "Balance : 7.8e-07 [ 0.00 %]\n", + "Adjust : 0.651219 [ 49.53 %]\n", + "Total : 1.31488 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.0%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.8424e-03 sec\n", - "--- Collate = 8.1406e-05 sec\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.4568e-03 sec\n", + "--- Collate = 8.5291e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.387635e-02 > 2.000000e-03 [41661]\n", + "--- Min DT=2.259689e-06 < 7.812500e-06 [5]\n", + "--- Max DT=2.389499e-02 > 2.000000e-03 [41671]\n", "----------------------------------------------------------------------\n", - " Component | high: 41661/60000\n", + " Component | low: 0/60000\n", + " Component | low: 5/20000\n", + " Component | high: 41671/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.74] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00132545 [ 0.07 %]\n", - "Velocity : 0.006882 [ 0.36 %]\n", - "Force : 0.601889 [ 31.17 %]\n", - "Coefs : 0.262047 [ 13.57 %]\n", - "Output : 0.140481 [ 7.27 %]\n", - "Levels : 0.000597167 [ 0.03 %]\n", - "Report : 1.654e-06 [ 0.00 %]\n", - "Balance : 7.75e-07 [ 0.00 %]\n", - "Adjust : 0.917115 [ 47.49 %]\n", - "Total : 1.93114 [100.00 %]\n", + "Drift : 0.00181123 [ 0.13 %]\n", + "Velocity : 0.00803999 [ 0.57 %]\n", + "Force : 0.4522 [ 31.85 %]\n", + "Coefs : 0.164676 [ 11.60 %]\n", + "Output : 0.142299 [ 10.02 %]\n", + "Levels : 0.000573228 [ 0.04 %]\n", + "Report : 1.037e-06 [ 0.00 %]\n", + "Balance : 6.97e-07 [ 0.00 %]\n", + "Adjust : 0.649537 [ 45.75 %]\n", + "Total : 1.41974 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.5%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.3909e-03 sec\n", - "--- Collate = 9.9099e-05 sec\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.3381e-03 sec\n", + "--- Collate = 8.4448e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.388634e-02 > 2.000000e-03 [41635]\n", + "--- Min DT=2.487115e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.389322e-02 > 2.000000e-03 [41649]\n", "----------------------------------------------------------------------\n", - " Component | high: 41635/60000\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41649/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.742] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00153067 [ 0.10 %]\n", - "Velocity : 0.00740667 [ 0.46 %]\n", - "Force : 0.577352 [ 35.92 %]\n", - "Coefs : 0.224042 [ 13.94 %]\n", - "Output : 0.0178712 [ 1.11 %]\n", - "Levels : 0.000575641 [ 0.04 %]\n", - "Report : 1.47e-06 [ 0.00 %]\n", - "Balance : 7.61e-07 [ 0.00 %]\n", - "Adjust : 0.77776 [ 48.39 %]\n", - "Total : 1.60732 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00190572 [ 0.14 %]\n", + "Velocity : 0.00855296 [ 0.62 %]\n", + "Force : 0.499549 [ 35.98 %]\n", + "Coefs : 0.176603 [ 12.72 %]\n", + "Output : 0.0213625 [ 1.54 %]\n", + "Levels : 0.000557911 [ 0.04 %]\n", + "Report : 1.337e-06 [ 0.00 %]\n", + "Balance : 7.09e-07 [ 0.00 %]\n", + "Adjust : 0.67915 [ 48.92 %]\n", + "Total : 1.38835 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.1%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.7746e-03 sec\n", - "--- Collate = 6.6028e-05 sec\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.6513e-03 sec\n", + "--- Collate = 8.1860e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.389076e-02 > 2.000000e-03 [41631]\n", + "--- Max DT=2.389544e-02 > 2.000000e-03 [41625]\n", "----------------------------------------------------------------------\n", - " Component | high: 41631/60000\n", + " Component | high: 41625/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.744] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00149862 [ 0.09 %]\n", - "Velocity : 0.00744709 [ 0.47 %]\n", - "Force : 0.586279 [ 37.10 %]\n", - "Coefs : 0.217851 [ 13.78 %]\n", - "Output : 0.0140038 [ 0.89 %]\n", - "Levels : 0.000487078 [ 0.03 %]\n", - "Report : 1.325e-06 [ 0.00 %]\n", - "Balance : 6.6e-07 [ 0.00 %]\n", - "Adjust : 0.752142 [ 47.59 %]\n", - "Total : 1.58043 [100.00 %]\n", + "Drift : 0.00185451 [ 0.14 %]\n", + "Velocity : 0.00803086 [ 0.60 %]\n", + "Force : 0.477698 [ 35.72 %]\n", + "Coefs : 0.172216 [ 12.88 %]\n", + "Output : 0.0214446 [ 1.60 %]\n", + "Levels : 0.000544083 [ 0.04 %]\n", + "Report : 8.85e-07 [ 0.00 %]\n", + "Balance : 4.81e-07 [ 0.00 %]\n", + "Adjust : 0.655041 [ 48.98 %]\n", + "Total : 1.33743 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 8.5%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.7136e-03 sec\n", - "--- Collate = 1.3540e-04 sec\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.4608e-03 sec\n", + "--- Collate = 7.3487e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.713391e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.389362e-02 > 2.000000e-03 [41618]\n", + "--- Min DT=2.414517e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.389443e-02 > 2.000000e-03 [41625]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41618/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41625/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.746] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00152433 [ 0.09 %]\n", - "Velocity : 0.00767409 [ 0.46 %]\n", - "Force : 0.607057 [ 36.32 %]\n", - "Coefs : 0.234464 [ 14.03 %]\n", - "Output : 0.0225606 [ 1.35 %]\n", - "Levels : 0.000553572 [ 0.03 %]\n", - "Report : 1.592e-06 [ 0.00 %]\n", - "Balance : 7.34e-07 [ 0.00 %]\n", - "Adjust : 0.797159 [ 47.69 %]\n", - "Total : 1.67162 [100.00 %]\n", + "Drift : 0.00182779 [ 0.14 %]\n", + "Velocity : 0.00779151 [ 0.60 %]\n", + "Force : 0.461092 [ 35.48 %]\n", + "Coefs : 0.170176 [ 13.10 %]\n", + "Output : 0.0203418 [ 1.57 %]\n", + "Levels : 0.000466264 [ 0.04 %]\n", + "Report : 1.336e-06 [ 0.00 %]\n", + "Balance : 7.26e-07 [ 0.00 %]\n", + "Adjust : 0.637195 [ 49.03 %]\n", + "Total : 1.2995 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.0%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.2918e-03 sec\n", - "--- Collate = 9.0676e-05 sec\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.6092e-03 sec\n", + "--- Collate = 9.6755e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.389808e-02 > 2.000000e-03 [41630]\n", + "--- Min DT=2.006211e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.388737e-02 > 2.000000e-03 [41627]\n", "----------------------------------------------------------------------\n", - " Component | high: 41630/60000\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41627/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.748] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00155247 [ 0.10 %]\n", - "Velocity : 0.00761563 [ 0.47 %]\n", - "Force : 0.598972 [ 37.09 %]\n", - "Coefs : 0.223393 [ 13.83 %]\n", - "Output : 0.0143916 [ 0.89 %]\n", - "Levels : 0.000540356 [ 0.03 %]\n", - "Report : 1.285e-06 [ 0.00 %]\n", - "Balance : 7.82e-07 [ 0.00 %]\n", - "Adjust : 0.767809 [ 47.54 %]\n", - "Total : 1.615 [100.00 %]\n", + "Drift : 0.00177224 [ 0.14 %]\n", + "Velocity : 0.0082429 [ 0.63 %]\n", + "Force : 0.46368 [ 35.69 %]\n", + "Coefs : 0.165948 [ 12.77 %]\n", + "Output : 0.0277077 [ 2.13 %]\n", + "Levels : 0.000506645 [ 0.04 %]\n", + "Report : 1.162e-06 [ 0.00 %]\n", + "Balance : 5.55e-07 [ 0.00 %]\n", + "Adjust : 0.630775 [ 48.55 %]\n", + "Total : 1.29922 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.7%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.0436e-02 sec\n", - "--- Collate = 7.8974e-05 sec\n", + "--- Coef/DT = 4.7%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.1927e-03 sec\n", + "--- Collate = 8.3761e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.389901e-02 > 2.000000e-03 [41646]\n", + "--- Max DT=2.388077e-02 > 2.000000e-03 [41635]\n", "----------------------------------------------------------------------\n", - " Component | high: 41646/60000\n", + " Component | high: 41635/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.75] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00163124 [ 0.09 %]\n", - "Velocity : 0.006953 [ 0.37 %]\n", - "Force : 0.654631 [ 35.23 %]\n", - "Coefs : 0.278896 [ 15.01 %]\n", - "Output : 0.0186043 [ 1.00 %]\n", - "Levels : 0.00036948 [ 0.02 %]\n", - "Report : 1.629e-06 [ 0.00 %]\n", - "Balance : 5.47e-07 [ 0.00 %]\n", - "Adjust : 0.89613 [ 48.23 %]\n", - "Total : 1.85797 [100.00 %]\n", + "Drift : 0.00118702 [ 0.09 %]\n", + "Velocity : 0.0047071 [ 0.37 %]\n", + "Force : 0.476634 [ 36.97 %]\n", + "Coefs : 0.175838 [ 13.64 %]\n", + "Output : 0.0096566 [ 0.75 %]\n", + "Levels : 0.00037503 [ 0.03 %]\n", + "Report : 1.36e-06 [ 0.00 %]\n", + "Balance : 5.18e-07 [ 0.00 %]\n", + "Adjust : 0.620382 [ 48.12 %]\n", + "Total : 1.2892 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 10.8%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.0092e-02 sec\n", - "--- Collate = 8.4113e-05 sec\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.6701e-03 sec\n", + "--- Collate = 7.5799e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.389944e-02 > 2.000000e-03 [41653]\n", + "--- Min DT=3.656611e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.388152e-02 > 2.000000e-03 [41653]\n", "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", " Component | high: 41653/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -12597,2042 +12668,2123 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.752] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00124392 [ 0.08 %]\n", - "Velocity : 0.00594412 [ 0.37 %]\n", - "Force : 0.586264 [ 36.50 %]\n", - "Coefs : 0.229803 [ 14.31 %]\n", - "Output : 0.0160874 [ 1.00 %]\n", - "Levels : 0.000446428 [ 0.03 %]\n", - "Report : 1.439e-06 [ 0.00 %]\n", - "Balance : 7.49e-07 [ 0.00 %]\n", - "Adjust : 0.765593 [ 47.67 %]\n", - "Total : 1.60607 [100.00 %]\n", + "Drift : 0.000851825 [ 0.07 %]\n", + "Velocity : 0.00406223 [ 0.32 %]\n", + "Force : 0.460185 [ 36.69 %]\n", + "Coefs : 0.169836 [ 13.54 %]\n", + "Output : 0.0101327 [ 0.81 %]\n", + "Levels : 0.000308723 [ 0.02 %]\n", + "Report : 1.346e-06 [ 0.00 %]\n", + "Balance : 6.1e-07 [ 0.00 %]\n", + "Adjust : 0.608377 [ 48.51 %]\n", + "Total : 1.25418 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.9%\n", + "--- Coef/DT = 6.0%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0010e-02 sec\n", - "--- Collate = 8.4550e-05 sec\n", + "--- Update = 7.6012e-03 sec\n", + "--- Collate = 6.9651e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.161812e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.389974e-02 > 2.000000e-03 [41678]\n", + "--- Max DT=2.388782e-02 > 2.000000e-03 [41689]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41678/60000\n", + " Component | high: 41689/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.754] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00163182 [ 0.10 %]\n", - "Velocity : 0.00682744 [ 0.42 %]\n", - "Force : 0.589886 [ 36.50 %]\n", - "Coefs : 0.229328 [ 14.19 %]\n", - "Output : 0.0207724 [ 1.29 %]\n", - "Levels : 0.000663839 [ 0.04 %]\n", - "Report : 1.509e-06 [ 0.00 %]\n", - "Balance : 8.63e-07 [ 0.00 %]\n", - "Adjust : 0.766231 [ 47.41 %]\n", - "Total : 1.61615 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.0008274 [ 0.07 %]\n", + "Velocity : 0.00383031 [ 0.31 %]\n", + "Force : 0.448506 [ 36.67 %]\n", + "Coefs : 0.166717 [ 13.63 %]\n", + "Output : 0.0092734 [ 0.76 %]\n", + "Levels : 0.000412524 [ 0.03 %]\n", + "Report : 1.098e-06 [ 0.00 %]\n", + "Balance : 7e-07 [ 0.00 %]\n", + "Adjust : 0.593215 [ 48.50 %]\n", + "Total : 1.2232 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.0%\n", - "--- Adj/Tot = 1.4%\n", - "--- Update = 9.8782e-03 sec\n", - "--- Collate = 6.6182e-05 sec\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.6187e-03 sec\n", + "--- Collate = 7.4212e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.389391e-02 > 2.000000e-03 [41700]\n", + "--- Max DT=2.389183e-02 > 2.000000e-03 [41703]\n", "----------------------------------------------------------------------\n", - " Component | high: 41699/60000\n", - " Component | high: 1/20000\n", + " Component | high: 41703/60000\n", + " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.756] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00153006 [ 0.09 %]\n", - "Velocity : 0.00632139 [ 0.39 %]\n", - "Force : 0.596714 [ 36.95 %]\n", - "Coefs : 0.223531 [ 13.84 %]\n", - "Output : 0.0189096 [ 1.17 %]\n", - "Levels : 0.000380678 [ 0.02 %]\n", - "Report : 1.545e-06 [ 0.00 %]\n", - "Balance : 6.75e-07 [ 0.00 %]\n", - "Adjust : 0.766917 [ 47.49 %]\n", - "Total : 1.61507 [100.00 %]\n", + "Drift : 0.000856402 [ 0.07 %]\n", + "Velocity : 0.00428595 [ 0.34 %]\n", + "Force : 0.465951 [ 36.42 %]\n", + "Coefs : 0.174468 [ 13.64 %]\n", + "Output : 0.0105153 [ 0.82 %]\n", + "Levels : 0.000321279 [ 0.03 %]\n", + "Report : 1.189e-06 [ 0.00 %]\n", + "Balance : 5.99e-07 [ 0.00 %]\n", + "Adjust : 0.622483 [ 48.66 %]\n", + "Total : 1.27935 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.6%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.0048e-03 sec\n", - "--- Collate = 1.6145e-04 sec\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.6191e-03 sec\n", + "--- Collate = 6.7475e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.389232e-02 > 2.000000e-03 [41685]\n", + "--- Min DT=2.593251e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.389768e-02 > 2.000000e-03 [41702]\n", "----------------------------------------------------------------------\n", - " Component | high: 41685/60000\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41702/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.758] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00152689 [ 0.10 %]\n", - "Velocity : 0.00621396 [ 0.39 %]\n", - "Force : 0.584535 [ 36.43 %]\n", - "Coefs : 0.217389 [ 13.55 %]\n", - "Output : 0.0207557 [ 1.29 %]\n", - "Levels : 0.000471115 [ 0.03 %]\n", - "Report : 1.034e-06 [ 0.00 %]\n", - "Balance : 5.64e-07 [ 0.00 %]\n", - "Adjust : 0.772779 [ 48.16 %]\n", - "Total : 1.60451 [100.00 %]\n", + "Drift : 0.000788713 [ 0.06 %]\n", + "Velocity : 0.00394149 [ 0.32 %]\n", + "Force : 0.448555 [ 36.57 %]\n", + "Coefs : 0.168296 [ 13.72 %]\n", + "Output : 0.00923404 [ 0.75 %]\n", + "Levels : 0.000367445 [ 0.03 %]\n", + "Report : 1.025e-06 [ 0.00 %]\n", + "Balance : 4.26e-07 [ 0.00 %]\n", + "Adjust : 0.59494 [ 48.50 %]\n", + "Total : 1.22656 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.9%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.5033e-03 sec\n", - "--- Collate = 7.4343e-05 sec\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.7485e-03 sec\n", + "--- Collate = 8.7634e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.389360e-02 > 2.000000e-03 [41682]\n", + "--- Min DT=2.542403e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.389915e-02 > 2.000000e-03 [41690]\n", "----------------------------------------------------------------------\n", - " Component | high: 41682/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41690/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.76] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00152078 [ 0.09 %]\n", - "Velocity : 0.00638477 [ 0.36 %]\n", - "Force : 0.595568 [ 33.51 %]\n", - "Coefs : 0.224754 [ 12.65 %]\n", - "Output : 0.173513 [ 9.76 %]\n", - "Levels : 0.00905355 [ 0.51 %]\n", - "Report : 1.453e-06 [ 0.00 %]\n", - "Balance : 9.77e-07 [ 0.00 %]\n", - "Adjust : 0.76555 [ 43.08 %]\n", - "Total : 1.77712 [100.00 %]\n", + "Drift : 0.000896964 [ 0.07 %]\n", + "Velocity : 0.00469282 [ 0.34 %]\n", + "Force : 0.469901 [ 34.25 %]\n", + "Coefs : 0.171095 [ 12.47 %]\n", + "Output : 0.102605 [ 7.48 %]\n", + "Levels : 0.000372478 [ 0.03 %]\n", + "Report : 9.75e-07 [ 0.00 %]\n", + "Balance : 4.78e-07 [ 0.00 %]\n", + "Adjust : 0.621797 [ 45.33 %]\n", + "Total : 1.37185 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 8.5%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.3587e-03 sec\n", - "--- Collate = 1.2012e-04 sec\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.0401e-03 sec\n", + "--- Collate = 8.0693e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.389257e-02 > 2.000000e-03 [41702]\n", + "--- Max DT=2.390104e-02 > 2.000000e-03 [41701]\n", "----------------------------------------------------------------------\n", " Component | high: 41701/60000\n", - " Component | high: 1/20000\n", + " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.762] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00170402 [ 0.09 %]\n", - "Velocity : 0.00836558 [ 0.46 %]\n", - "Force : 0.592113 [ 32.40 %]\n", - "Coefs : 0.246292 [ 13.48 %]\n", - "Output : 0.021762 [ 1.19 %]\n", - "Levels : 0.000658134 [ 0.04 %]\n", - "Report : 1.177e-06 [ 0.00 %]\n", - "Balance : 8.2e-07 [ 0.00 %]\n", - "Adjust : 0.955809 [ 52.30 %]\n", - "Total : 1.82746 [100.00 %]\n", + "Drift : 0.000846283 [ 0.07 %]\n", + "Velocity : 0.00401075 [ 0.31 %]\n", + "Force : 0.473632 [ 36.57 %]\n", + "Coefs : 0.176108 [ 13.60 %]\n", + "Output : 0.0108758 [ 0.84 %]\n", + "Levels : 0.000347545 [ 0.03 %]\n", + "Report : 1.271e-06 [ 0.00 %]\n", + "Balance : 4.1e-07 [ 0.00 %]\n", + "Adjust : 0.628953 [ 48.56 %]\n", + "Total : 1.29524 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.0%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.6636e-03 sec\n", - "--- Collate = 6.1523e-05 sec\n", + "--- Coef/DT = 7.0%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 8.3622e-03 sec\n", + "--- Collate = 9.2860e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.353704e-06 < 7.812500e-06 [4]\n", - "--- Max DT=2.389136e-02 > 2.000000e-03 [41668]\n", + "--- Max DT=2.390241e-02 > 2.000000e-03 [41688]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 4/20000\n", - " Component | high: 41668/60000\n", + " Component | high: 41688/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.764] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00201388 [ 0.12 %]\n", - "Velocity : 0.00948674 [ 0.56 %]\n", - "Force : 0.612528 [ 36.09 %]\n", - "Coefs : 0.226102 [ 13.32 %]\n", - "Output : 0.0230635 [ 1.36 %]\n", - "Levels : 0.000572757 [ 0.03 %]\n", - "Report : 1.306e-06 [ 0.00 %]\n", - "Balance : 6.3e-07 [ 0.00 %]\n", - "Adjust : 0.822912 [ 48.48 %]\n", - "Total : 1.69737 [100.00 %]\n", + "Drift : 0.00088705 [ 0.07 %]\n", + "Velocity : 0.00488223 [ 0.36 %]\n", + "Force : 0.49323 [ 36.52 %]\n", + "Coefs : 0.179477 [ 13.29 %]\n", + "Output : 0.0132547 [ 0.98 %]\n", + "Levels : 0.00868267 [ 0.64 %]\n", + "Report : 1.68e-06 [ 0.00 %]\n", + "Balance : 7.51e-07 [ 0.00 %]\n", + "Adjust : 0.649482 [ 48.09 %]\n", + "Total : 1.35045 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.5%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.5953e-03 sec\n", - "--- Collate = 7.3703e-05 sec\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 9.0425e-03 sec\n", + "--- Collate = 1.2250e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.389197e-02 > 2.000000e-03 [41670]\n", + "--- Max DT=2.390271e-02 > 2.000000e-03 [41677]\n", "----------------------------------------------------------------------\n", - " Component | high: 41670/60000\n", + " Component | high: 41677/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.766] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00198723 [ 0.12 %]\n", - "Velocity : 0.00900959 [ 0.53 %]\n", - "Force : 0.600227 [ 35.37 %]\n", - "Coefs : 0.237057 [ 13.97 %]\n", - "Output : 0.0219384 [ 1.29 %]\n", - "Levels : 0.000591662 [ 0.03 %]\n", - "Report : 1.424e-06 [ 0.00 %]\n", - "Balance : 6e-07 [ 0.00 %]\n", - "Adjust : 0.825317 [ 48.64 %]\n", - "Total : 1.6968 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00168917 [ 0.13 %]\n", + "Velocity : 0.00757696 [ 0.56 %]\n", + "Force : 0.474043 [ 35.29 %]\n", + "Coefs : 0.173324 [ 12.90 %]\n", + "Output : 0.0186281 [ 1.39 %]\n", + "Levels : 0.0005701 [ 0.04 %]\n", + "Report : 9.49e-07 [ 0.00 %]\n", + "Balance : 4.46e-07 [ 0.00 %]\n", + "Adjust : 0.666935 [ 49.65 %]\n", + "Total : 1.34337 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.0%\n", - "--- Adj/Tot = 1.4%\n", - "--- Update = 9.6645e-03 sec\n", - "--- Collate = 9.3479e-05 sec\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.2042e-03 sec\n", + "--- Collate = 7.4379e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.594410e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.389174e-02 > 2.000000e-03 [41680]\n", + "--- Max DT=2.389963e-02 > 2.000000e-03 [41672]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41680/60000\n", + " Component | high: 41672/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.768] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00199795 [ 0.12 %]\n", - "Velocity : 0.00899732 [ 0.56 %]\n", - "Force : 0.588652 [ 36.53 %]\n", - "Coefs : 0.225159 [ 13.97 %]\n", - "Output : 0.0218424 [ 1.36 %]\n", - "Levels : 0.000473885 [ 0.03 %]\n", - "Report : 1.458e-06 [ 0.00 %]\n", - "Balance : 5.85e-07 [ 0.00 %]\n", - "Adjust : 0.763835 [ 47.40 %]\n", - "Total : 1.61163 [100.00 %]\n", + "Drift : 0.000939341 [ 0.07 %]\n", + "Velocity : 0.00420173 [ 0.32 %]\n", + "Force : 0.483914 [ 36.62 %]\n", + "Coefs : 0.178576 [ 13.51 %]\n", + "Output : 0.0112597 [ 0.85 %]\n", + "Levels : 0.000420284 [ 0.03 %]\n", + "Report : 1.294e-06 [ 0.00 %]\n", + "Balance : 4.95e-07 [ 0.00 %]\n", + "Adjust : 0.64157 [ 48.55 %]\n", + "Total : 1.32142 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.8379e-03 sec\n", - "--- Collate = 8.3944e-05 sec\n", + "--- Coef/DT = 4.8%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.6468e-03 sec\n", + "--- Collate = 6.7249e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.991125e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.388854e-02 > 2.000000e-03 [41668]\n", + "--- Min DT=2.276126e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.389462e-02 > 2.000000e-03 [41659]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41668/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41659/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.77] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00183789 [ 0.10 %]\n", - "Velocity : 0.00928714 [ 0.52 %]\n", - "Force : 0.63375 [ 35.75 %]\n", - "Coefs : 0.246094 [ 13.88 %]\n", - "Output : 0.0225425 [ 1.27 %]\n", - "Levels : 0.000579358 [ 0.03 %]\n", - "Report : 1.334e-06 [ 0.00 %]\n", - "Balance : 6.92e-07 [ 0.00 %]\n", - "Adjust : 0.857956 [ 48.40 %]\n", - "Total : 1.7728 [100.00 %]\n", + "Drift : 0.0007864 [ 0.06 %]\n", + "Velocity : 0.00349064 [ 0.28 %]\n", + "Force : 0.464566 [ 36.99 %]\n", + "Coefs : 0.17068 [ 13.59 %]\n", + "Output : 0.009195 [ 0.73 %]\n", + "Levels : 0.000359202 [ 0.03 %]\n", + "Report : 1.58e-06 [ 0.00 %]\n", + "Balance : 4.94e-07 [ 0.00 %]\n", + "Adjust : 0.606335 [ 48.28 %]\n", + "Total : 1.25588 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.8%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.3905e-03 sec\n", - "--- Collate = 6.2416e-05 sec\n", + "--- Coef/DT = 6.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.7255e-03 sec\n", + "--- Collate = 7.8711e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.388277e-02 > 2.000000e-03 [41664]\n", + "--- Min DT=2.673794e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.389174e-02 > 2.000000e-03 [41674]\n", "----------------------------------------------------------------------\n", - " Component | high: 41664/60000\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41674/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.772] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00198965 [ 0.12 %]\n", - "Velocity : 0.00933292 [ 0.57 %]\n", - "Force : 0.586008 [ 35.99 %]\n", - "Coefs : 0.230734 [ 14.17 %]\n", - "Output : 0.0217341 [ 1.33 %]\n", - "Levels : 0.000595153 [ 0.04 %]\n", - "Report : 1.115e-06 [ 0.00 %]\n", - "Balance : 4.37e-07 [ 0.00 %]\n", - "Adjust : 0.77712 [ 47.73 %]\n", - "Total : 1.6282 [100.00 %]\n", + "Drift : 0.000919063 [ 0.07 %]\n", + "Velocity : 0.00420616 [ 0.33 %]\n", + "Force : 0.460842 [ 36.35 %]\n", + "Coefs : 0.172428 [ 13.60 %]\n", + "Output : 0.0111214 [ 0.88 %]\n", + "Levels : 0.000404231 [ 0.03 %]\n", + "Report : 1.252e-06 [ 0.00 %]\n", + "Balance : 5.26e-07 [ 0.00 %]\n", + "Adjust : 0.617406 [ 48.70 %]\n", + "Total : 1.26784 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", + "--- Coef/DT = 6.7%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 2.1546e-02 sec\n", - "--- Collate = 7.5206e-05 sec\n", + "--- Update = 9.1500e-03 sec\n", + "--- Collate = 1.1747e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.388034e-02 > 2.000000e-03 [41659]\n", + "--- Max DT=2.389636e-02 > 2.000000e-03 [41663]\n", "----------------------------------------------------------------------\n", - " Component | high: 41659/60000\n", + " Component | high: 41663/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.774] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00201043 [ 0.12 %]\n", - "Velocity : 0.00899643 [ 0.54 %]\n", - "Force : 0.599243 [ 35.68 %]\n", - "Coefs : 0.239325 [ 14.25 %]\n", - "Output : 0.0219722 [ 1.31 %]\n", - "Levels : 0.000600547 [ 0.04 %]\n", - "Report : 1.365e-06 [ 0.00 %]\n", - "Balance : 6.13e-07 [ 0.00 %]\n", - "Adjust : 0.806476 [ 48.02 %]\n", - "Total : 1.67933 [100.00 %]\n", + "Drift : 0.000905957 [ 0.07 %]\n", + "Velocity : 0.00444387 [ 0.34 %]\n", + "Force : 0.472279 [ 36.11 %]\n", + "Coefs : 0.177795 [ 13.59 %]\n", + "Output : 0.0125348 [ 0.96 %]\n", + "Levels : 0.000502959 [ 0.04 %]\n", + "Report : 1.36e-06 [ 0.00 %]\n", + "Balance : 6.52e-07 [ 0.00 %]\n", + "Adjust : 0.638874 [ 48.85 %]\n", + "Total : 1.30791 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.7%\n", + "--- Coef/DT = 5.0%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.4289e-03 sec\n", - "--- Collate = 7.6150e-05 sec\n", + "--- Update = 8.6318e-03 sec\n", + "--- Collate = 9.5648e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.388009e-02 > 2.000000e-03 [41666]\n", + "--- Max DT=2.389849e-02 > 2.000000e-03 [41673]\n", "----------------------------------------------------------------------\n", - " Component | high: 41666/60000\n", + " Component | high: 41673/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.776] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00200473 [ 0.12 %]\n", - "Velocity : 0.0096916 [ 0.58 %]\n", - "Force : 0.589599 [ 35.05 %]\n", - "Coefs : 0.231903 [ 13.79 %]\n", - "Output : 0.0269287 [ 1.60 %]\n", - "Levels : 0.000680583 [ 0.04 %]\n", - "Report : 9.89e-07 [ 0.00 %]\n", - "Balance : 6.24e-07 [ 0.00 %]\n", - "Adjust : 0.820579 [ 48.78 %]\n", - "Total : 1.68212 [100.00 %]\n", + "Drift : 0.00117527 [ 0.09 %]\n", + "Velocity : 0.00477392 [ 0.37 %]\n", + "Force : 0.472292 [ 36.60 %]\n", + "Coefs : 0.172553 [ 13.37 %]\n", + "Output : 0.0129466 [ 1.00 %]\n", + "Levels : 0.000515911 [ 0.04 %]\n", + "Report : 1.018e-06 [ 0.00 %]\n", + "Balance : 5.42e-07 [ 0.00 %]\n", + "Adjust : 0.625504 [ 48.48 %]\n", + "Total : 1.29034 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.8%\n", + "--- Coef/DT = 5.5%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0306e-02 sec\n", - "--- Collate = 9.1665e-05 sec\n", + "--- Update = 8.4391e-03 sec\n", + "--- Collate = 1.1549e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.865195e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.388020e-02 > 2.000000e-03 [41671]\n", + "--- Min DT=2.165699e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.389496e-02 > 2.000000e-03 [41665]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41671/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41665/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.778] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00204284 [ 0.12 %]\n", - "Velocity : 0.00997663 [ 0.61 %]\n", - "Force : 0.581068 [ 35.25 %]\n", - "Coefs : 0.218405 [ 13.25 %]\n", - "Output : 0.027005 [ 1.64 %]\n", - "Levels : 0.000491567 [ 0.03 %]\n", - "Report : 1.605e-06 [ 0.00 %]\n", - "Balance : 6.41e-07 [ 0.00 %]\n", - "Adjust : 0.808581 [ 49.05 %]\n", - "Total : 1.6485 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000929468 [ 0.07 %]\n", + "Velocity : 0.00392526 [ 0.30 %]\n", + "Force : 0.483415 [ 36.87 %]\n", + "Coefs : 0.177347 [ 13.53 %]\n", + "Output : 0.0108628 [ 0.83 %]\n", + "Levels : 0.000517893 [ 0.04 %]\n", + "Report : 6.9e-07 [ 0.00 %]\n", + "Balance : 4.13e-07 [ 0.00 %]\n", + "Adjust : 0.633639 [ 48.33 %]\n", + "Total : 1.3111 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.5%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.5032e-02 sec\n", - "--- Collate = 7.1781e-05 sec\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.7728e-03 sec\n", + "--- Collate = 6.8120e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.193624e-06 < 7.812500e-06 [3]\n", - "--- Max DT=2.387631e-02 > 2.000000e-03 [41654]\n", + "--- Max DT=2.388851e-02 > 2.000000e-03 [41653]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 3/20000\n", - " Component | high: 41654/60000\n", + " Component | high: 41653/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.78] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00223308 [ 0.12 %]\n", - "Velocity : 0.0111048 [ 0.62 %]\n", - "Force : 0.591761 [ 32.94 %]\n", - "Coefs : 0.230692 [ 12.84 %]\n", - "Output : 0.156932 [ 8.74 %]\n", - "Levels : 0.000844804 [ 0.05 %]\n", - "Report : 9.81e-07 [ 0.00 %]\n", - "Balance : 5.59e-07 [ 0.00 %]\n", - "Adjust : 0.801728 [ 44.63 %]\n", - "Total : 1.79626 [100.00 %]\n", + "Drift : 0.000804708 [ 0.06 %]\n", + "Velocity : 0.00365664 [ 0.28 %]\n", + "Force : 0.450705 [ 34.01 %]\n", + "Coefs : 0.165175 [ 12.46 %]\n", + "Output : 0.105547 [ 7.96 %]\n", + "Levels : 0.000409428 [ 0.03 %]\n", + "Report : 1.198e-06 [ 0.00 %]\n", + "Balance : 5.54e-07 [ 0.00 %]\n", + "Adjust : 0.59862 [ 45.17 %]\n", + "Total : 1.32534 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", + "--- Coef/DT = 6.3%\n", "--- Adj/Tot = 1.4%\n", - "--- Update = 3.2417e-02 sec\n", - "--- Collate = 4.0373e-03 sec\n", + "--- Update = 8.6727e-03 sec\n", + "--- Collate = 8.0538e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.387569e-02 > 2.000000e-03 [41638]\n", + "--- Max DT=2.387878e-02 > 2.000000e-03 [41631]\n", "----------------------------------------------------------------------\n", - " Component | high: 41638/60000\n", - " Component | high: 0/20000\n", + " Component | high: 41630/60000\n", + " Component | high: 1/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.782] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00210846 [ 0.10 %]\n", - "Velocity : 0.0107029 [ 0.50 %]\n", - "Force : 0.703965 [ 32.67 %]\n", - "Coefs : 0.301258 [ 13.98 %]\n", - "Output : 0.0280862 [ 1.30 %]\n", - "Levels : 0.00889235 [ 0.41 %]\n", - "Report : 1.339e-06 [ 0.00 %]\n", - "Balance : 8.79e-07 [ 0.00 %]\n", - "Adjust : 1.09905 [ 51.00 %]\n", - "Total : 2.15498 [100.00 %]\n", + "Drift : 0.00106571 [ 0.09 %]\n", + "Velocity : 0.0042925 [ 0.35 %]\n", + "Force : 0.446451 [ 36.40 %]\n", + "Coefs : 0.167821 [ 13.68 %]\n", + "Output : 0.00964754 [ 0.79 %]\n", + "Levels : 0.000494386 [ 0.04 %]\n", + "Report : 1.274e-06 [ 0.00 %]\n", + "Balance : 5.3e-07 [ 0.00 %]\n", + "Adjust : 0.596194 [ 48.61 %]\n", + "Total : 1.22639 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.6%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.9240e-03 sec\n", - "--- Collate = 9.0503e-05 sec\n", + "--- Coef/DT = 4.8%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.2159e-03 sec\n", + "--- Collate = 8.1296e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.387843e-02 > 2.000000e-03 [41626]\n", + "--- Max DT=2.387211e-02 > 2.000000e-03 [41619]\n", "----------------------------------------------------------------------\n", - " Component | high: 41626/60000\n", + " Component | high: 41619/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.784] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00176062 [ 0.11 %]\n", - "Velocity : 0.00835593 [ 0.52 %]\n", - "Force : 0.579049 [ 35.80 %]\n", - "Coefs : 0.222754 [ 13.77 %]\n", - "Output : 0.0211368 [ 1.31 %]\n", - "Levels : 0.000494428 [ 0.03 %]\n", - "Report : 1.416e-06 [ 0.00 %]\n", - "Balance : 6.25e-07 [ 0.00 %]\n", - "Adjust : 0.783222 [ 48.42 %]\n", - "Total : 1.61753 [100.00 %]\n", + "Drift : 0.000933803 [ 0.07 %]\n", + "Velocity : 0.00397828 [ 0.31 %]\n", + "Force : 0.466015 [ 36.52 %]\n", + "Coefs : 0.171744 [ 13.46 %]\n", + "Output : 0.00976467 [ 0.77 %]\n", + "Levels : 0.000397237 [ 0.03 %]\n", + "Report : 1.418e-06 [ 0.00 %]\n", + "Balance : 7.16e-07 [ 0.00 %]\n", + "Adjust : 0.622646 [ 48.80 %]\n", + "Total : 1.27592 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 7.2%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.0605e-03 sec\n", - "--- Collate = 7.9265e-05 sec\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.5625e-03 sec\n", + "--- Collate = 9.7464e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.387308e-02 > 2.000000e-03 [41611]\n", + "--- Min DT=3.639177e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.387182e-02 > 2.000000e-03 [41595]\n", "----------------------------------------------------------------------\n", - " Component | high: 41611/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41595/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.786] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00209508 [ 0.13 %]\n", - "Velocity : 0.00941292 [ 0.59 %]\n", - "Force : 0.565741 [ 35.53 %]\n", - "Coefs : 0.222423 [ 13.97 %]\n", - "Output : 0.022645 [ 1.42 %]\n", - "Levels : 0.000583079 [ 0.04 %]\n", - "Report : 1.428e-06 [ 0.00 %]\n", - "Balance : 5.69e-07 [ 0.00 %]\n", - "Adjust : 0.768725 [ 48.27 %]\n", - "Total : 1.59241 [100.00 %]\n", + "Drift : 0.000874025 [ 0.07 %]\n", + "Velocity : 0.00364346 [ 0.29 %]\n", + "Force : 0.46656 [ 37.17 %]\n", + "Coefs : 0.17064 [ 13.59 %]\n", + "Output : 0.00976807 [ 0.78 %]\n", + "Levels : 0.000395322 [ 0.03 %]\n", + "Report : 1.182e-06 [ 0.00 %]\n", + "Balance : 7.35e-07 [ 0.00 %]\n", + "Adjust : 0.602908 [ 48.03 %]\n", + "Total : 1.25524 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.0%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.4754e-03 sec\n", - "--- Collate = 1.0368e-04 sec\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.0508e-03 sec\n", + "--- Collate = 7.7575e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.386781e-02 > 2.000000e-03 [41609]\n", + "--- Max DT=2.387473e-02 > 2.000000e-03 [41602]\n", "----------------------------------------------------------------------\n", - " Component | high: 41609/60000\n", + " Component | high: 41602/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.788] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00204329 [ 0.13 %]\n", - "Velocity : 0.0093497 [ 0.59 %]\n", - "Force : 0.569315 [ 35.98 %]\n", - "Coefs : 0.221081 [ 13.97 %]\n", - "Output : 0.022122 [ 1.40 %]\n", - "Levels : 0.000576313 [ 0.04 %]\n", - "Report : 1.552e-06 [ 0.00 %]\n", - "Balance : 5.04e-07 [ 0.00 %]\n", - "Adjust : 0.756925 [ 47.84 %]\n", - "Total : 1.58219 [100.00 %]\n", + "Drift : 0.000817946 [ 0.06 %]\n", + "Velocity : 0.0036079 [ 0.29 %]\n", + "Force : 0.458669 [ 36.43 %]\n", + "Coefs : 0.173549 [ 13.78 %]\n", + "Output : 0.00921032 [ 0.73 %]\n", + "Levels : 0.000376806 [ 0.03 %]\n", + "Report : 1.285e-06 [ 0.00 %]\n", + "Balance : 5.32e-07 [ 0.00 %]\n", + "Adjust : 0.612477 [ 48.64 %]\n", + "Total : 1.25915 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.7%\n", + "--- Coef/DT = 5.4%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.5451e-03 sec\n", - "--- Collate = 8.4035e-05 sec\n", + "--- Update = 7.8733e-03 sec\n", + "--- Collate = 6.6415e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.703547e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.386556e-02 > 2.000000e-03 [41608]\n", + "--- Min DT=2.844067e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.387705e-02 > 2.000000e-03 [41595]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41608/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41595/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.79] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00201931 [ 0.13 %]\n", - "Velocity : 0.00926793 [ 0.59 %]\n", - "Force : 0.558231 [ 35.51 %]\n", - "Coefs : 0.219376 [ 13.96 %]\n", - "Output : 0.0218061 [ 1.39 %]\n", - "Levels : 0.000527964 [ 0.03 %]\n", - "Report : 8.77e-07 [ 0.00 %]\n", - "Balance : 4.3e-07 [ 0.00 %]\n", - "Adjust : 0.759945 [ 48.34 %]\n", - "Total : 1.57193 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000796854 [ 0.06 %]\n", + "Velocity : 0.00348144 [ 0.28 %]\n", + "Force : 0.454754 [ 36.51 %]\n", + "Coefs : 0.171346 [ 13.76 %]\n", + "Output : 0.0091852 [ 0.74 %]\n", + "Levels : 0.00040276 [ 0.03 %]\n", + "Report : 1.397e-06 [ 0.00 %]\n", + "Balance : 6.4e-07 [ 0.00 %]\n", + "Adjust : 0.605027 [ 48.58 %]\n", + "Total : 1.24544 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.0%\n", - "--- Adj/Tot = 1.4%\n", - "--- Update = 8.8018e-03 sec\n", - "--- Collate = 8.9291e-05 sec\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.0453e-03 sec\n", + "--- Collate = 7.3238e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.504096e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.386081e-02 > 2.000000e-03 [41604]\n", + "--- Max DT=2.387538e-02 > 2.000000e-03 [41588]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41604/60000\n", + " Component | high: 41588/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.792] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00206979 [ 0.13 %]\n", - "Velocity : 0.00914486 [ 0.58 %]\n", - "Force : 0.556205 [ 35.41 %]\n", - "Coefs : 0.21668 [ 13.79 %]\n", - "Output : 0.0226391 [ 1.44 %]\n", - "Levels : 0.000574501 [ 0.04 %]\n", - "Report : 1.219e-06 [ 0.00 %]\n", - "Balance : 5.21e-07 [ 0.00 %]\n", - "Adjust : 0.762808 [ 48.56 %]\n", - "Total : 1.57092 [100.00 %]\n", + "Drift : 0.000785583 [ 0.06 %]\n", + "Velocity : 0.00368932 [ 0.30 %]\n", + "Force : 0.456934 [ 36.63 %]\n", + "Coefs : 0.170761 [ 13.69 %]\n", + "Output : 0.00941114 [ 0.75 %]\n", + "Levels : 0.000354783 [ 0.03 %]\n", + "Report : 1.264e-06 [ 0.00 %]\n", + "Balance : 4.26e-07 [ 0.00 %]\n", + "Adjust : 0.605062 [ 48.50 %]\n", + "Total : 1.24744 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.8%\n", + "--- Coef/DT = 4.9%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0059e-02 sec\n", - "--- Collate = 8.1581e-05 sec\n", + "--- Update = 7.7780e-03 sec\n", + "--- Collate = 8.2397e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.909777e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.385503e-02 > 2.000000e-03 [41613]\n", + "--- Min DT=1.728510e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.387224e-02 > 2.000000e-03 [41607]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 41613/60000\n", + " Component | high: 41607/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.794] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00180998 [ 0.11 %]\n", - "Velocity : 0.00906973 [ 0.55 %]\n", - "Force : 0.581929 [ 35.57 %]\n", - "Coefs : 0.226407 [ 13.84 %]\n", - "Output : 0.0229145 [ 1.40 %]\n", - "Levels : 0.000611612 [ 0.04 %]\n", - "Report : 1.245e-06 [ 0.00 %]\n", - "Balance : 4.96e-07 [ 0.00 %]\n", - "Adjust : 0.792579 [ 48.44 %]\n", - "Total : 1.63614 [100.00 %]\n", + "Drift : 0.000934669 [ 0.08 %]\n", + "Velocity : 0.00366729 [ 0.30 %]\n", + "Force : 0.454886 [ 36.81 %]\n", + "Coefs : 0.169842 [ 13.74 %]\n", + "Output : 0.00947103 [ 0.77 %]\n", + "Levels : 0.000369018 [ 0.03 %]\n", + "Report : 1.237e-06 [ 0.00 %]\n", + "Balance : 4.13e-07 [ 0.00 %]\n", + "Adjust : 0.596243 [ 48.25 %]\n", + "Total : 1.23586 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.0%\n", + "--- Coef/DT = 5.3%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.4446e-03 sec\n", - "--- Collate = 9.9406e-05 sec\n", + "--- Update = 7.8335e-03 sec\n", + "--- Collate = 7.2026e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.597208e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.385089e-02 > 2.000000e-03 [41596]\n", + "--- Min DT=2.698606e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.386661e-02 > 2.000000e-03 [41598]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41596/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41598/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.796] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00208111 [ 0.11 %]\n", - "Velocity : 0.00966624 [ 0.51 %]\n", - "Force : 0.632523 [ 33.55 %]\n", - "Coefs : 0.314919 [ 16.70 %]\n", - "Output : 0.0233715 [ 1.24 %]\n", - "Levels : 0.000525894 [ 0.03 %]\n", - "Report : 1.53e-06 [ 0.00 %]\n", - "Balance : 7.19e-07 [ 0.00 %]\n", - "Adjust : 0.901443 [ 47.81 %]\n", - "Total : 1.8854 [100.00 %]\n", + "Drift : 0.000767741 [ 0.06 %]\n", + "Velocity : 0.00340331 [ 0.28 %]\n", + "Force : 0.455063 [ 36.96 %]\n", + "Coefs : 0.169074 [ 13.73 %]\n", + "Output : 0.0089015 [ 0.72 %]\n", + "Levels : 0.00032444 [ 0.03 %]\n", + "Report : 1.363e-06 [ 0.00 %]\n", + "Balance : 4.95e-07 [ 0.00 %]\n", + "Adjust : 0.593256 [ 48.19 %]\n", + "Total : 1.2312 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.5%\n", + "--- Coef/DT = 5.8%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 8.9759e-03 sec\n", - "--- Collate = 6.0747e-05 sec\n", + "--- Update = 8.3738e-03 sec\n", + "--- Collate = 8.2406e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.385209e-02 > 2.000000e-03 [41600]\n", + "--- Min DT=1.596970e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.385855e-02 > 2.000000e-03 [41585]\n", "----------------------------------------------------------------------\n", - " Component | high: 41600/60000\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41585/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.798] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00192018 [ 0.12 %]\n", - "Velocity : 0.00899615 [ 0.55 %]\n", - "Force : 0.602619 [ 36.57 %]\n", - "Coefs : 0.228288 [ 13.85 %]\n", - "Output : 0.0224226 [ 1.36 %]\n", - "Levels : 0.000580365 [ 0.04 %]\n", - "Report : 1.692e-06 [ 0.00 %]\n", - "Balance : 8.17e-07 [ 0.00 %]\n", - "Adjust : 0.782205 [ 47.47 %]\n", - "Total : 1.64783 [100.00 %]\n", + "Drift : 0.000853395 [ 0.07 %]\n", + "Velocity : 0.00389848 [ 0.31 %]\n", + "Force : 0.46892 [ 36.95 %]\n", + "Coefs : 0.172875 [ 13.62 %]\n", + "Output : 0.0105988 [ 0.84 %]\n", + "Levels : 0.000375564 [ 0.03 %]\n", + "Report : 1.472e-06 [ 0.00 %]\n", + "Balance : 4.82e-07 [ 0.00 %]\n", + "Adjust : 0.611254 [ 48.16 %]\n", + "Total : 1.26923 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 8.5%\n", + "--- Coef/DT = 5.9%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 1.1523e-02 sec\n", - "--- Collate = 1.0209e-04 sec\n", + "--- Update = 7.9360e-03 sec\n", + "--- Collate = 7.9778e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.385245e-02 > 2.000000e-03 [41595]\n", + "--- Max DT=2.385018e-02 > 2.000000e-03 [41600]\n", "----------------------------------------------------------------------\n", - " Component | high: 41595/60000\n", + " Component | high: 41600/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.8] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00210138 [ 0.12 %]\n", - "Velocity : 0.00895476 [ 0.49 %]\n", - "Force : 0.563139 [ 31.10 %]\n", - "Coefs : 0.211763 [ 11.69 %]\n", - "Output : 0.271451 [ 14.99 %]\n", - "Levels : 0.000649596 [ 0.04 %]\n", - "Report : 1.489e-06 [ 0.00 %]\n", - "Balance : 6.56e-07 [ 0.00 %]\n", - "Adjust : 0.752164 [ 41.53 %]\n", - "Total : 1.81094 [100.00 %]\n", + "Drift : 0.000830636 [ 0.06 %]\n", + "Velocity : 0.00363229 [ 0.26 %]\n", + "Force : 0.45592 [ 32.32 %]\n", + "Coefs : 0.169935 [ 12.05 %]\n", + "Output : 0.189235 [ 13.41 %]\n", + "Levels : 0.000371542 [ 0.03 %]\n", + "Report : 1.304e-06 [ 0.00 %]\n", + "Balance : 4.91e-07 [ 0.00 %]\n", + "Adjust : 0.590327 [ 41.85 %]\n", + "Total : 1.41066 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 6.0%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 9.0199e-03 sec\n", - "--- Collate = 7.1011e-05 sec\n", + "--- Update = 8.5823e-03 sec\n", + "--- Collate = 7.9868e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.384654e-02 > 2.000000e-03 [41601]\n", + "--- Min DT=1.202831e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.384391e-02 > 2.000000e-03 [41605]\n", "----------------------------------------------------------------------\n", - " Component | high: 41601/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41605/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.802] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00208268 [ 0.13 %]\n", - "Velocity : 0.00919202 [ 0.58 %]\n", - "Force : 0.549249 [ 34.57 %]\n", - "Coefs : 0.219471 [ 13.82 %]\n", - "Output : 0.0222181 [ 1.40 %]\n", - "Levels : 0.000519775 [ 0.03 %]\n", - "Report : 1.427e-06 [ 0.00 %]\n", - "Balance : 6.83e-07 [ 0.00 %]\n", - "Adjust : 0.78514 [ 49.42 %]\n", - "Total : 1.58858 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000961009 [ 0.07 %]\n", + "Velocity : 0.0039775 [ 0.31 %]\n", + "Force : 0.472702 [ 36.65 %]\n", + "Coefs : 0.177158 [ 13.73 %]\n", + "Output : 0.00997233 [ 0.77 %]\n", + "Levels : 0.000581395 [ 0.05 %]\n", + "Report : 1.035e-06 [ 0.00 %]\n", + "Balance : 5.53e-07 [ 0.00 %]\n", + "Adjust : 0.624151 [ 48.39 %]\n", + "Total : 1.28994 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 8.1%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.2600e-02 sec\n", - "--- Collate = 8.8895e-05 sec\n", + "--- Coef/DT = 6.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.1019e-03 sec\n", + "--- Collate = 6.8234e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.383565e-02 > 2.000000e-03 [41603]\n", + "--- Max DT=2.384021e-02 > 2.000000e-03 [41602]\n", "----------------------------------------------------------------------\n", - " Component | high: 41603/60000\n", + " Component | high: 41602/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.804] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00205724 [ 0.11 %]\n", - "Velocity : 0.0101226 [ 0.56 %]\n", - "Force : 0.587407 [ 32.69 %]\n", - "Coefs : 0.283217 [ 15.76 %]\n", - "Output : 0.0222115 [ 1.24 %]\n", - "Levels : 0.000891828 [ 0.05 %]\n", - "Report : 1.915e-06 [ 0.00 %]\n", - "Balance : 7.41e-07 [ 0.00 %]\n", - "Adjust : 0.890507 [ 49.55 %]\n", - "Total : 1.79717 [100.00 %]\n", + "Drift : 0.000803954 [ 0.06 %]\n", + "Velocity : 0.00342793 [ 0.28 %]\n", + "Force : 0.455922 [ 36.72 %]\n", + "Coefs : 0.169297 [ 13.64 %]\n", + "Output : 0.00899882 [ 0.72 %]\n", + "Levels : 0.000380517 [ 0.03 %]\n", + "Report : 1.065e-06 [ 0.00 %]\n", + "Balance : 5e-07 [ 0.00 %]\n", + "Adjust : 0.602315 [ 48.51 %]\n", + "Total : 1.24158 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.1%\n", + "--- Coef/DT = 5.9%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.2897e-03 sec\n", - "--- Collate = 9.5371e-05 sec\n", + "--- Update = 8.3195e-03 sec\n", + "--- Collate = 7.8366e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.904955e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.382498e-02 > 2.000000e-03 [41611]\n", + "--- Min DT=2.661365e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.383839e-02 > 2.000000e-03 [41617]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 41611/60000\n", + " Component | high: 41617/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.806] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00197638 [ 0.12 %]\n", - "Velocity : 0.0087211 [ 0.55 %]\n", - "Force : 0.582993 [ 36.72 %]\n", - "Coefs : 0.217786 [ 13.72 %]\n", - "Output : 0.0223018 [ 1.40 %]\n", - "Levels : 0.000540814 [ 0.03 %]\n", - "Report : 1.37e-06 [ 0.00 %]\n", - "Balance : 6.32e-07 [ 0.00 %]\n", - "Adjust : 0.752439 [ 47.40 %]\n", - "Total : 1.58752 [100.00 %]\n", + "Drift : 0.000783292 [ 0.06 %]\n", + "Velocity : 0.00348644 [ 0.28 %]\n", + "Force : 0.452496 [ 36.20 %]\n", + "Coefs : 0.168229 [ 13.46 %]\n", + "Output : 0.0180073 [ 1.44 %]\n", + "Levels : 0.000388134 [ 0.03 %]\n", + "Report : 1.136e-06 [ 0.00 %]\n", + "Balance : 5.91e-07 [ 0.00 %]\n", + "Adjust : 0.606109 [ 48.49 %]\n", + "Total : 1.24993 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.1%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.4364e-03 sec\n", - "--- Collate = 8.0385e-05 sec\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.3886e-03 sec\n", + "--- Collate = 9.0789e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.974821e-06 < 7.812500e-06 [6]\n", - "--- Max DT=2.382108e-02 > 2.000000e-03 [41603]\n", + "--- Min DT=2.755480e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.383846e-02 > 2.000000e-03 [41617]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 6/20000\n", - " Component | high: 41603/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41617/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.808] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00205484 [ 0.13 %]\n", - "Velocity : 0.00947554 [ 0.60 %]\n", - "Force : 0.573631 [ 36.18 %]\n", - "Coefs : 0.216809 [ 13.68 %]\n", - "Output : 0.0224857 [ 1.42 %]\n", - "Levels : 0.000592685 [ 0.04 %]\n", - "Report : 1.408e-06 [ 0.00 %]\n", - "Balance : 4.91e-07 [ 0.00 %]\n", - "Adjust : 0.759513 [ 47.91 %]\n", - "Total : 1.58535 [100.00 %]\n", + "Drift : 0.000844143 [ 0.07 %]\n", + "Velocity : 0.00369478 [ 0.29 %]\n", + "Force : 0.471463 [ 37.12 %]\n", + "Coefs : 0.173054 [ 13.63 %]\n", + "Output : 0.00961505 [ 0.76 %]\n", + "Levels : 0.000373676 [ 0.03 %]\n", + "Report : 1.35e-06 [ 0.00 %]\n", + "Balance : 5.66e-07 [ 0.00 %]\n", + "Adjust : 0.610565 [ 48.07 %]\n", + "Total : 1.27006 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 7.3%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 8.8987e-03 sec\n", - "--- Collate = 1.0030e-04 sec\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.2536e-03 sec\n", + "--- Collate = 7.8672e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.913726e-06 < 7.812500e-06 [3]\n", - "--- Max DT=2.382373e-02 > 2.000000e-03 [41606]\n", + "--- Max DT=2.384054e-02 > 2.000000e-03 [41614]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 3/20000\n", - " Component | high: 41606/60000\n", + " Component | high: 41614/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.81] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00182825 [ 0.11 %]\n", - "Velocity : 0.00877457 [ 0.54 %]\n", - "Force : 0.591153 [ 36.48 %]\n", - "Coefs : 0.225041 [ 13.89 %]\n", - "Output : 0.0224314 [ 1.38 %]\n", - "Levels : 0.000604562 [ 0.04 %]\n", - "Report : 1.204e-06 [ 0.00 %]\n", - "Balance : 5.09e-07 [ 0.00 %]\n", - "Adjust : 0.769797 [ 47.51 %]\n", - "Total : 1.62037 [100.00 %]\n", + "Drift : 0.000786683 [ 0.06 %]\n", + "Velocity : 0.0040076 [ 0.32 %]\n", + "Force : 0.458312 [ 36.63 %]\n", + "Coefs : 0.172627 [ 13.80 %]\n", + "Output : 0.0101282 [ 0.81 %]\n", + "Levels : 0.000385575 [ 0.03 %]\n", + "Report : 1.365e-06 [ 0.00 %]\n", + "Balance : 5.34e-07 [ 0.00 %]\n", + "Adjust : 0.604361 [ 48.31 %]\n", + "Total : 1.25104 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.9%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 9.2483e-03 sec\n", - "--- Collate = 7.9904e-05 sec\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.8859e-03 sec\n", + "--- Collate = 7.2791e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.535974e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.382497e-02 > 2.000000e-03 [41600]\n", + "--- Min DT=2.601616e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.384092e-02 > 2.000000e-03 [41609]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41600/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41609/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.812] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00208236 [ 0.13 %]\n", - "Velocity : 0.00949493 [ 0.60 %]\n", - "Force : 0.58029 [ 36.39 %]\n", - "Coefs : 0.221531 [ 13.89 %]\n", - "Output : 0.0225978 [ 1.42 %]\n", - "Levels : 0.000514982 [ 0.03 %]\n", - "Report : 8.69e-07 [ 0.00 %]\n", - "Balance : 4.22e-07 [ 0.00 %]\n", - "Adjust : 0.75758 [ 47.50 %]\n", - "Total : 1.59485 [100.00 %]\n", + "Drift : 0.00126801 [ 0.09 %]\n", + "Velocity : 0.00612013 [ 0.45 %]\n", + "Force : 0.494652 [ 36.08 %]\n", + "Coefs : 0.179431 [ 13.09 %]\n", + "Output : 0.0150203 [ 1.10 %]\n", + "Levels : 0.000404251 [ 0.03 %]\n", + "Report : 9.44e-07 [ 0.00 %]\n", + "Balance : 3.87e-07 [ 0.00 %]\n", + "Adjust : 0.673314 [ 49.12 %]\n", + "Total : 1.37086 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 5.4%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.4968e-03 sec\n", - "--- Collate = 8.9847e-05 sec\n", + "--- Update = 7.6441e-03 sec\n", + "--- Collate = 1.0068e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.353558e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.382744e-02 > 2.000000e-03 [41598]\n", + "--- Min DT=2.616698e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.384063e-02 > 2.000000e-03 [41620]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41598/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41620/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.814] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00207761 [ 0.11 %]\n", - "Velocity : 0.00931251 [ 0.51 %]\n", - "Force : 0.614852 [ 33.60 %]\n", - "Coefs : 0.265455 [ 14.51 %]\n", - "Output : 0.0233036 [ 1.27 %]\n", - "Levels : 0.000566641 [ 0.03 %]\n", - "Report : 1.439e-06 [ 0.00 %]\n", - "Balance : 4.33e-07 [ 0.00 %]\n", - "Adjust : 0.913381 [ 49.92 %]\n", - "Total : 1.82971 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000823414 [ 0.07 %]\n", + "Velocity : 0.00344616 [ 0.28 %]\n", + "Force : 0.456973 [ 36.92 %]\n", + "Coefs : 0.167056 [ 13.50 %]\n", + "Output : 0.016406 [ 1.33 %]\n", + "Levels : 0.000364016 [ 0.03 %]\n", + "Report : 1.006e-06 [ 0.00 %]\n", + "Balance : 4.68e-07 [ 0.00 %]\n", + "Adjust : 0.592359 [ 47.85 %]\n", + "Total : 1.23785 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.3%\n", + "--- Coef/DT = 4.9%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.2921e-03 sec\n", - "--- Collate = 7.3265e-05 sec\n", + "--- Update = 8.0452e-03 sec\n", + "--- Collate = 8.1348e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.382765e-02 > 2.000000e-03 [41594]\n", + "--- Max DT=2.383842e-02 > 2.000000e-03 [41592]\n", "----------------------------------------------------------------------\n", - " Component | high: 41594/60000\n", + " Component | high: 41592/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.816] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00208826 [ 0.13 %]\n", - "Velocity : 0.00983303 [ 0.60 %]\n", - "Force : 0.60012 [ 36.51 %]\n", - "Coefs : 0.226313 [ 13.77 %]\n", - "Output : 0.0242861 [ 1.48 %]\n", - "Levels : 0.000583253 [ 0.04 %]\n", - "Report : 1.544e-06 [ 0.00 %]\n", - "Balance : 4.48e-07 [ 0.00 %]\n", - "Adjust : 0.779689 [ 47.44 %]\n", - "Total : 1.64368 [100.00 %]\n", + "Drift : 0.00089367 [ 0.07 %]\n", + "Velocity : 0.00442662 [ 0.35 %]\n", + "Force : 0.465655 [ 36.86 %]\n", + "Coefs : 0.171911 [ 13.61 %]\n", + "Output : 0.0104023 [ 0.82 %]\n", + "Levels : 0.000376975 [ 0.03 %]\n", + "Report : 1.55e-06 [ 0.00 %]\n", + "Balance : 6.26e-07 [ 0.00 %]\n", + "Adjust : 0.609136 [ 48.22 %]\n", + "Total : 1.26327 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.3%\n", + "--- Coef/DT = 5.4%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.2192e-03 sec\n", - "--- Collate = 6.6369e-05 sec\n", + "--- Update = 8.0720e-03 sec\n", + "--- Collate = 8.5313e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.643800e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.382803e-02 > 2.000000e-03 [41595]\n", + "--- Max DT=2.383366e-02 > 2.000000e-03 [41596]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41595/60000\n", + " Component | high: 41596/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.818] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00206843 [ 0.13 %]\n", - "Velocity : 0.00987306 [ 0.60 %]\n", - "Force : 0.580889 [ 35.17 %]\n", - "Coefs : 0.229309 [ 13.88 %]\n", - "Output : 0.023395 [ 1.42 %]\n", - "Levels : 0.000504393 [ 0.03 %]\n", - "Report : 1.369e-06 [ 0.00 %]\n", - "Balance : 4.84e-07 [ 0.00 %]\n", - "Adjust : 0.804769 [ 48.73 %]\n", - "Total : 1.65159 [100.00 %]\n", + "Drift : 0.00105594 [ 0.08 %]\n", + "Velocity : 0.00472114 [ 0.37 %]\n", + "Force : 0.469805 [ 36.73 %]\n", + "Coefs : 0.17115 [ 13.38 %]\n", + "Output : 0.0126392 [ 0.99 %]\n", + "Levels : 0.00042758 [ 0.03 %]\n", + "Report : 1.344e-06 [ 0.00 %]\n", + "Balance : 7.71e-07 [ 0.00 %]\n", + "Adjust : 0.618854 [ 48.38 %]\n", + "Total : 1.27917 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.2%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 8.9179e-03 sec\n", - "--- Collate = 6.4009e-05 sec\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.2168e-03 sec\n", + "--- Collate = 8.1870e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.383190e-02 > 2.000000e-03 [41621]\n", + "--- Max DT=2.383479e-02 > 2.000000e-03 [41607]\n", "----------------------------------------------------------------------\n", - " Component | high: 41621/60000\n", + " Component | high: 41607/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.82] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00210486 [ 0.12 %]\n", - "Velocity : 0.0100494 [ 0.58 %]\n", - "Force : 0.587945 [ 33.69 %]\n", - "Coefs : 0.225059 [ 12.90 %]\n", - "Output : 0.142321 [ 8.16 %]\n", - "Levels : 0.000657702 [ 0.04 %]\n", - "Report : 1.443e-06 [ 0.00 %]\n", - "Balance : 5.31e-07 [ 0.00 %]\n", - "Adjust : 0.776281 [ 44.48 %]\n", - "Total : 1.74517 [100.00 %]\n", + "Drift : 0.00117992 [ 0.08 %]\n", + "Velocity : 0.00530938 [ 0.38 %]\n", + "Force : 0.465409 [ 33.19 %]\n", + "Coefs : 0.17366 [ 12.38 %]\n", + "Output : 0.126178 [ 9.00 %]\n", + "Levels : 0.000476781 [ 0.03 %]\n", + "Report : 1.386e-06 [ 0.00 %]\n", + "Balance : 6.68e-07 [ 0.00 %]\n", + "Adjust : 0.629651 [ 44.90 %]\n", + "Total : 1.40242 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 8.0%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.4706e-03 sec\n", - "--- Collate = 6.0019e-05 sec\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.5480e-03 sec\n", + "--- Collate = 7.2309e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.156843e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.383658e-02 > 2.000000e-03 [41626]\n", + "--- Min DT=2.713641e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.383879e-02 > 2.000000e-03 [41620]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41626/60000\n", + " Component | low: 1/60000\n", + " Component | low: 0/20000\n", + " Component | high: 41620/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.822] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00210715 [ 0.13 %]\n", - "Velocity : 0.0103699 [ 0.62 %]\n", - "Force : 0.598385 [ 35.55 %]\n", - "Coefs : 0.237166 [ 14.09 %]\n", - "Output : 0.0236997 [ 1.41 %]\n", - "Levels : 0.000626215 [ 0.04 %]\n", - "Report : 1.47e-06 [ 0.00 %]\n", - "Balance : 8.43e-07 [ 0.00 %]\n", - "Adjust : 0.810017 [ 48.12 %]\n", - "Total : 1.68328 [100.00 %]\n", + "Drift : 0.000956102 [ 0.08 %]\n", + "Velocity : 0.00427107 [ 0.34 %]\n", + "Force : 0.468011 [ 36.95 %]\n", + "Coefs : 0.173387 [ 13.69 %]\n", + "Output : 0.0174049 [ 1.37 %]\n", + "Levels : 0.00035069 [ 0.03 %]\n", + "Report : 1.055e-06 [ 0.00 %]\n", + "Balance : 6.25e-07 [ 0.00 %]\n", + "Adjust : 0.601724 [ 47.51 %]\n", + "Total : 1.26659 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.4%\n", + "--- Coef/DT = 5.8%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 8.6526e-03 sec\n", - "--- Collate = 6.3433e-05 sec\n", + "--- Update = 8.9479e-03 sec\n", + "--- Collate = 9.8774e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.383883e-02 > 2.000000e-03 [41630]\n", + "--- Max DT=2.384259e-02 > 2.000000e-03 [41614]\n", "----------------------------------------------------------------------\n", - " Component | high: 41630/60000\n", + " Component | high: 41614/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.824] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00207071 [ 0.12 %]\n", - "Velocity : 0.00968076 [ 0.55 %]\n", - "Force : 0.598544 [ 34.21 %]\n", - "Coefs : 0.23992 [ 13.71 %]\n", - "Output : 0.0237836 [ 1.36 %]\n", - "Levels : 0.000548876 [ 0.03 %]\n", - "Report : 1.765e-06 [ 0.00 %]\n", - "Balance : 7.14e-07 [ 0.00 %]\n", - "Adjust : 0.874133 [ 49.96 %]\n", - "Total : 1.74959 [100.00 %]\n", + "Drift : 0.00121198 [ 0.09 %]\n", + "Velocity : 0.00532737 [ 0.39 %]\n", + "Force : 0.506497 [ 36.97 %]\n", + "Coefs : 0.183064 [ 13.36 %]\n", + "Output : 0.0126318 [ 0.92 %]\n", + "Levels : 0.000540517 [ 0.04 %]\n", + "Report : 1.342e-06 [ 0.00 %]\n", + "Balance : 4.63e-07 [ 0.00 %]\n", + "Adjust : 0.660026 [ 48.18 %]\n", + "Total : 1.36988 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.0%\n", + "--- Coef/DT = 5.8%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 8.9663e-03 sec\n", - "--- Collate = 6.1767e-05 sec\n", + "--- Update = 8.9556e-03 sec\n", + "--- Collate = 7.8564e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.316051e-06 < 7.812500e-06 [3]\n", - "--- Max DT=2.384204e-02 > 2.000000e-03 [41638]\n", + "--- Min DT=3.317368e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.384149e-02 > 2.000000e-03 [41631]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 3/20000\n", - " Component | high: 41638/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41631/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.826] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00188204 [ 0.11 %]\n", - "Velocity : 0.00922045 [ 0.53 %]\n", - "Force : 0.582024 [ 33.76 %]\n", - "Coefs : 0.24515 [ 14.22 %]\n", - "Output : 0.0243317 [ 1.41 %]\n", - "Levels : 0.000601212 [ 0.03 %]\n", - "Report : 1.453e-06 [ 0.00 %]\n", - "Balance : 7.34e-07 [ 0.00 %]\n", - "Adjust : 0.860099 [ 49.89 %]\n", - "Total : 1.72412 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00146637 [ 0.10 %]\n", + "Velocity : 0.00678538 [ 0.45 %]\n", + "Force : 0.555781 [ 37.10 %]\n", + "Coefs : 0.200976 [ 13.41 %]\n", + "Output : 0.0179836 [ 1.20 %]\n", + "Levels : 0.000405652 [ 0.03 %]\n", + "Report : 1.102e-06 [ 0.00 %]\n", + "Balance : 5.51e-07 [ 0.00 %]\n", + "Adjust : 0.71403 [ 47.66 %]\n", + "Total : 1.49817 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 7.3%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.2098e-03 sec\n", - "--- Collate = 1.4532e-04 sec\n", + "--- Coef/DT = 6.9%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 8.2945e-03 sec\n", + "--- Collate = 7.7842e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.384387e-02 > 2.000000e-03 [41633]\n", + "--- Min DT=2.661942e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.383522e-02 > 2.000000e-03 [41628]\n", "----------------------------------------------------------------------\n", - " Component | high: 41633/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41628/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.828] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00192266 [ 0.12 %]\n", - "Velocity : 0.00866285 [ 0.53 %]\n", - "Force : 0.58385 [ 36.03 %]\n", - "Coefs : 0.232174 [ 14.33 %]\n", - "Output : 0.0227776 [ 1.41 %]\n", - "Levels : 0.000598125 [ 0.04 %]\n", - "Report : 1.52e-06 [ 0.00 %]\n", - "Balance : 8.33e-07 [ 0.00 %]\n", - "Adjust : 0.769862 [ 47.50 %]\n", - "Total : 1.62062 [100.00 %]\n", + "Drift : 0.00109866 [ 0.08 %]\n", + "Velocity : 0.0044289 [ 0.32 %]\n", + "Force : 0.522473 [ 37.71 %]\n", + "Coefs : 0.189873 [ 13.70 %]\n", + "Output : 0.0125505 [ 0.91 %]\n", + "Levels : 0.000576143 [ 0.04 %]\n", + "Report : 1.41e-06 [ 0.00 %]\n", + "Balance : 6.09e-07 [ 0.00 %]\n", + "Adjust : 0.653935 [ 47.20 %]\n", + "Total : 1.3855 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.0%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.2925e-03 sec\n", - "--- Collate = 8.2988e-05 sec\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.7126e-03 sec\n", + "--- Collate = 7.8918e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.384095e-02 > 2.000000e-03 [41623]\n", + "--- Max DT=2.383052e-02 > 2.000000e-03 [41617]\n", "----------------------------------------------------------------------\n", - " Component | high: 41623/60000\n", + " Component | high: 41617/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.83] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0018325 [ 0.11 %]\n", - "Velocity : 0.00936388 [ 0.57 %]\n", - "Force : 0.586784 [ 35.75 %]\n", - "Coefs : 0.222804 [ 13.57 %]\n", - "Output : 0.0232886 [ 1.42 %]\n", - "Levels : 0.000551104 [ 0.03 %]\n", - "Report : 1.375e-06 [ 0.00 %]\n", - "Balance : 8.4e-07 [ 0.00 %]\n", - "Adjust : 0.795826 [ 48.49 %]\n", - "Total : 1.64129 [100.00 %]\n", + "Drift : 0.00120908 [ 0.09 %]\n", + "Velocity : 0.0049689 [ 0.37 %]\n", + "Force : 0.497078 [ 37.26 %]\n", + "Coefs : 0.182017 [ 13.64 %]\n", + "Output : 0.0116761 [ 0.88 %]\n", + "Levels : 0.000390635 [ 0.03 %]\n", + "Report : 1.055e-06 [ 0.00 %]\n", + "Balance : 6.45e-07 [ 0.00 %]\n", + "Adjust : 0.636336 [ 47.69 %]\n", + "Total : 1.3342 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.9%\n", - "--- Adj/Tot = 1.4%\n", - "--- Update = 9.1451e-03 sec\n", - "--- Collate = 6.1710e-05 sec\n", + "--- Coef/DT = 6.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.0847e-03 sec\n", + "--- Collate = 7.5625e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.170944e-06 < 7.812500e-06 [3]\n", - "--- Max DT=2.384056e-02 > 2.000000e-03 [41597]\n", + "--- Min DT=3.609620e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.382574e-02 > 2.000000e-03 [41596]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 3/20000\n", - " Component | high: 41597/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41596/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.832] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00175884 [ 0.10 %]\n", - "Velocity : 0.00972522 [ 0.57 %]\n", - "Force : 0.615299 [ 35.79 %]\n", - "Coefs : 0.237645 [ 13.82 %]\n", - "Output : 0.0237015 [ 1.38 %]\n", - "Levels : 0.000544724 [ 0.03 %]\n", - "Report : 1.456e-06 [ 0.00 %]\n", - "Balance : 7.09e-07 [ 0.00 %]\n", - "Adjust : 0.829811 [ 48.26 %]\n", - "Total : 1.71929 [100.00 %]\n", + "Drift : 0.000855341 [ 0.07 %]\n", + "Velocity : 0.00372077 [ 0.29 %]\n", + "Force : 0.472142 [ 37.21 %]\n", + "Coefs : 0.176667 [ 13.92 %]\n", + "Output : 0.00993045 [ 0.78 %]\n", + "Levels : 0.000428958 [ 0.03 %]\n", + "Report : 1.413e-06 [ 0.00 %]\n", + "Balance : 6.47e-07 [ 0.00 %]\n", + "Adjust : 0.604688 [ 47.66 %]\n", + "Total : 1.26888 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 9.4%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.2909e-03 sec\n", - "--- Collate = 7.4229e-05 sec\n", + "--- Coef/DT = 6.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.2338e-03 sec\n", + "--- Collate = 7.3320e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.407561e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.383832e-02 > 2.000000e-03 [41615]\n", + "--- Min DT=3.834459e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.382563e-02 > 2.000000e-03 [41594]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41615/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41594/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.834] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0016741 [ 0.08 %]\n", - "Velocity : 0.00783359 [ 0.40 %]\n", - "Force : 0.70317 [ 35.61 %]\n", - "Coefs : 0.280594 [ 14.21 %]\n", - "Output : 0.0205123 [ 1.04 %]\n", - "Levels : 0.000635863 [ 0.03 %]\n", - "Report : 1.46e-06 [ 0.00 %]\n", - "Balance : 7.62e-07 [ 0.00 %]\n", - "Adjust : 0.959599 [ 48.59 %]\n", - "Total : 1.97482 [100.00 %]\n", + "Drift : 0.000911873 [ 0.07 %]\n", + "Velocity : 0.00406496 [ 0.32 %]\n", + "Force : 0.466041 [ 36.62 %]\n", + "Coefs : 0.172629 [ 13.56 %]\n", + "Output : 0.011326 [ 0.89 %]\n", + "Levels : 0.000484914 [ 0.04 %]\n", + "Report : 1.214e-06 [ 0.00 %]\n", + "Balance : 4.25e-07 [ 0.00 %]\n", + "Adjust : 0.616747 [ 48.46 %]\n", + "Total : 1.27268 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.3%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.5175e-03 sec\n", - "--- Collate = 7.5166e-05 sec\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.9639e-03 sec\n", + "--- Collate = 7.8810e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.383490e-02 > 2.000000e-03 [41611]\n", + "--- Min DT=2.989234e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.382732e-02 > 2.000000e-03 [41610]\n", "----------------------------------------------------------------------\n", - " Component | high: 41611/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41610/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.836] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00154682 [ 0.09 %]\n", - "Velocity : 0.00600904 [ 0.35 %]\n", - "Force : 0.586633 [ 34.51 %]\n", - "Coefs : 0.315934 [ 18.59 %]\n", - "Output : 0.0201365 [ 1.18 %]\n", - "Levels : 0.000391342 [ 0.02 %]\n", - "Report : 1.442e-06 [ 0.00 %]\n", - "Balance : 5.82e-07 [ 0.00 %]\n", - "Adjust : 0.76832 [ 45.20 %]\n", - "Total : 1.69978 [100.00 %]\n", + "Drift : 0.000889504 [ 0.07 %]\n", + "Velocity : 0.00399568 [ 0.31 %]\n", + "Force : 0.474509 [ 36.76 %]\n", + "Coefs : 0.178678 [ 13.84 %]\n", + "Output : 0.0105024 [ 0.81 %]\n", + "Levels : 0.000277381 [ 0.02 %]\n", + "Report : 1.154e-06 [ 0.00 %]\n", + "Balance : 6.13e-07 [ 0.00 %]\n", + "Adjust : 0.621505 [ 48.15 %]\n", + "Total : 1.29085 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.5%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.9587e-03 sec\n", - "--- Collate = 7.7347e-05 sec\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.2605e-03 sec\n", + "--- Collate = 9.2581e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.383360e-02 > 2.000000e-03 [41631]\n", + "--- Max DT=2.382824e-02 > 2.000000e-03 [41628]\n", "----------------------------------------------------------------------\n", - " Component | high: 41631/60000\n", + " Component | high: 41628/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.838] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00139322 [ 0.09 %]\n", - "Velocity : 0.00517221 [ 0.32 %]\n", - "Force : 0.593247 [ 37.27 %]\n", - "Coefs : 0.225732 [ 14.18 %]\n", - "Output : 0.016974 [ 1.07 %]\n", - "Levels : 0.000450758 [ 0.03 %]\n", - "Report : 1.601e-06 [ 0.00 %]\n", - "Balance : 8.08e-07 [ 0.00 %]\n", - "Adjust : 0.747872 [ 46.99 %]\n", - "Total : 1.59164 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00085481 [ 0.07 %]\n", + "Velocity : 0.0041071 [ 0.32 %]\n", + "Force : 0.466621 [ 36.48 %]\n", + "Coefs : 0.173515 [ 13.57 %]\n", + "Output : 0.0188544 [ 1.47 %]\n", + "Levels : 0.000475171 [ 0.04 %]\n", + "Report : 1.199e-06 [ 0.00 %]\n", + "Balance : 7.75e-07 [ 0.00 %]\n", + "Adjust : 0.614214 [ 48.02 %]\n", + "Total : 1.2791 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 8.3%\n", + "--- Coef/DT = 5.7%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 9.9648e-03 sec\n", - "--- Collate = 7.7435e-05 sec\n", + "--- Update = 8.3990e-03 sec\n", + "--- Collate = 8.4128e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.228843e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.382964e-02 > 2.000000e-03 [41631]\n", + "--- Min DT=2.266373e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.382785e-02 > 2.000000e-03 [41629]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41631/60000\n", + " Component | low: 1/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41629/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.84] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00140143 [ 0.08 %]\n", - "Velocity : 0.00546697 [ 0.32 %]\n", - "Force : 0.579145 [ 33.82 %]\n", - "Coefs : 0.222897 [ 13.02 %]\n", - "Output : 0.154876 [ 9.05 %]\n", - "Levels : 0.0004563 [ 0.03 %]\n", - "Report : 1.419e-06 [ 0.00 %]\n", - "Balance : 7.81e-07 [ 0.00 %]\n", - "Adjust : 0.747181 [ 43.64 %]\n", - "Total : 1.71221 [100.00 %]\n", + "Drift : 0.000930239 [ 0.07 %]\n", + "Velocity : 0.00424116 [ 0.31 %]\n", + "Force : 0.477045 [ 34.44 %]\n", + "Coefs : 0.175853 [ 12.69 %]\n", + "Output : 0.109579 [ 7.91 %]\n", + "Levels : 0.000629633 [ 0.05 %]\n", + "Report : 1.51e-06 [ 0.00 %]\n", + "Balance : 6.62e-07 [ 0.00 %]\n", + "Adjust : 0.616587 [ 44.51 %]\n", + "Total : 1.38533 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.1%\n", + "--- Coef/DT = 5.5%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.4712e-03 sec\n", - "--- Collate = 7.5948e-05 sec\n", + "--- Update = 8.4985e-03 sec\n", + "--- Collate = 9.4989e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.382761e-02 > 2.000000e-03 [41635]\n", + "--- Min DT=2.812163e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.382639e-02 > 2.000000e-03 [41631]\n", "----------------------------------------------------------------------\n", - " Component | high: 41635/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41631/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.842] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00139437 [ 0.09 %]\n", - "Velocity : 0.00589146 [ 0.38 %]\n", - "Force : 0.565426 [ 36.08 %]\n", - "Coefs : 0.223699 [ 14.27 %]\n", - "Output : 0.0177981 [ 1.14 %]\n", - "Levels : 0.000509444 [ 0.03 %]\n", - "Report : 1.289e-06 [ 0.00 %]\n", - "Balance : 7.01e-07 [ 0.00 %]\n", - "Adjust : 0.751619 [ 47.96 %]\n", - "Total : 1.56712 [100.00 %]\n", + "Drift : 0.00099999 [ 0.07 %]\n", + "Velocity : 0.00431963 [ 0.32 %]\n", + "Force : 0.504154 [ 37.10 %]\n", + "Coefs : 0.185341 [ 13.64 %]\n", + "Output : 0.0122709 [ 0.90 %]\n", + "Levels : 0.000409605 [ 0.03 %]\n", + "Report : 1.765e-06 [ 0.00 %]\n", + "Balance : 6.7e-07 [ 0.00 %]\n", + "Adjust : 0.650731 [ 47.89 %]\n", + "Total : 1.35873 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 8.3%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.4281e-03 sec\n", - "--- Collate = 7.3166e-05 sec\n", + "--- Coef/DT = 6.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 1.0181e-02 sec\n", + "--- Collate = 9.9581e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.382240e-02 > 2.000000e-03 [41642]\n", + "--- Min DT=1.441774e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.382235e-02 > 2.000000e-03 [41636]\n", "----------------------------------------------------------------------\n", - " Component | high: 41642/60000\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41636/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.844] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00139 [ 0.09 %]\n", - "Velocity : 0.00561384 [ 0.36 %]\n", - "Force : 0.565018 [ 36.41 %]\n", - "Coefs : 0.221329 [ 14.26 %]\n", - "Output : 0.0168553 [ 1.09 %]\n", - "Levels : 0.000454647 [ 0.03 %]\n", - "Report : 1.317e-06 [ 0.00 %]\n", - "Balance : 5.79e-07 [ 0.00 %]\n", - "Adjust : 0.740581 [ 47.72 %]\n", - "Total : 1.55198 [100.00 %]\n", + "Drift : 0.00117219 [ 0.08 %]\n", + "Velocity : 0.00487283 [ 0.34 %]\n", + "Force : 0.534537 [ 36.78 %]\n", + "Coefs : 0.194133 [ 13.36 %]\n", + "Output : 0.0136422 [ 0.94 %]\n", + "Levels : 0.000429504 [ 0.03 %]\n", + "Report : 1.437e-06 [ 0.00 %]\n", + "Balance : 5.14e-07 [ 0.00 %]\n", + "Adjust : 0.704108 [ 48.44 %]\n", + "Total : 1.45347 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.5%\n", + "--- Coef/DT = 6.4%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.8703e-03 sec\n", - "--- Collate = 8.9709e-05 sec\n", + "--- Update = 9.4948e-03 sec\n", + "--- Collate = 9.3636e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.065427e-06 < 7.812500e-06 [3]\n", - "--- Max DT=2.381697e-02 > 2.000000e-03 [41634]\n", + "--- Min DT=1.840610e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.381906e-02 > 2.000000e-03 [41629]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 3/20000\n", - " Component | high: 41634/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41629/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.846] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00133891 [ 0.09 %]\n", - "Velocity : 0.00593717 [ 0.38 %]\n", - "Force : 0.572063 [ 36.41 %]\n", - "Coefs : 0.222003 [ 14.13 %]\n", - "Output : 0.0183978 [ 1.17 %]\n", - "Levels : 0.000508407 [ 0.03 %]\n", - "Report : 1.482e-06 [ 0.00 %]\n", - "Balance : 6.77e-07 [ 0.00 %]\n", - "Adjust : 0.750025 [ 47.74 %]\n", - "Total : 1.57109 [100.00 %]\n", + "Drift : 0.00110344 [ 0.08 %]\n", + "Velocity : 0.00499409 [ 0.35 %]\n", + "Force : 0.539236 [ 37.34 %]\n", + "Coefs : 0.191554 [ 13.26 %]\n", + "Output : 0.0145928 [ 1.01 %]\n", + "Levels : 0.000748739 [ 0.05 %]\n", + "Report : 1.434e-06 [ 0.00 %]\n", + "Balance : 7.44e-07 [ 0.00 %]\n", + "Adjust : 0.691394 [ 47.87 %]\n", + "Total : 1.44422 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.9%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.2942e-03 sec\n", - "--- Collate = 8.1423e-05 sec\n", + "--- Coef/DT = 6.0%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.5462e-03 sec\n", + "--- Collate = 9.0276e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.381512e-02 > 2.000000e-03 [41634]\n", + "--- Min DT=3.376341e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.381482e-02 > 2.000000e-03 [41642]\n", "----------------------------------------------------------------------\n", - " Component | high: 41634/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41642/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.848] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00144689 [ 0.09 %]\n", - "Velocity : 0.00579559 [ 0.37 %]\n", - "Force : 0.575691 [ 36.28 %]\n", - "Coefs : 0.223704 [ 14.10 %]\n", - "Output : 0.018693 [ 1.18 %]\n", - "Levels : 0.000414111 [ 0.03 %]\n", - "Report : 1.467e-06 [ 0.00 %]\n", - "Balance : 7.59e-07 [ 0.00 %]\n", - "Adjust : 0.760144 [ 47.91 %]\n", - "Total : 1.5867 [100.00 %]\n", + "Drift : 0.00108395 [ 0.08 %]\n", + "Velocity : 0.00482764 [ 0.34 %]\n", + "Force : 0.534121 [ 37.25 %]\n", + "Coefs : 0.193898 [ 13.52 %]\n", + "Output : 0.0138092 [ 0.96 %]\n", + "Levels : 0.000497563 [ 0.03 %]\n", + "Report : 1.926e-06 [ 0.00 %]\n", + "Balance : 5.87e-07 [ 0.00 %]\n", + "Adjust : 0.68489 [ 47.77 %]\n", + "Total : 1.43372 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 7.8%\n", + "--- Coef/DT = 5.7%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.1444e-03 sec\n", - "--- Collate = 8.7643e-05 sec\n", + "--- Update = 8.1724e-03 sec\n", + "--- Collate = 9.1546e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.381361e-02 > 2.000000e-03 [41640]\n", + "--- Min DT=2.942036e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.380840e-02 > 2.000000e-03 [41643]\n", "----------------------------------------------------------------------\n", - " Component | high: 41640/60000\n", + " Component | low: 1/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41643/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.85] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.001515 [ 0.09 %]\n", - "Velocity : 0.00609782 [ 0.38 %]\n", - "Force : 0.577794 [ 36.09 %]\n", - "Coefs : 0.238004 [ 14.86 %]\n", - "Output : 0.0189789 [ 1.19 %]\n", - "Levels : 0.000554148 [ 0.03 %]\n", - "Report : 1.518e-06 [ 0.00 %]\n", - "Balance : 1.058e-06 [ 0.00 %]\n", - "Adjust : 0.757354 [ 47.30 %]\n", - "Total : 1.60113 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00127279 [ 0.09 %]\n", + "Velocity : 0.00468989 [ 0.34 %]\n", + "Force : 0.503437 [ 36.87 %]\n", + "Coefs : 0.185049 [ 13.55 %]\n", + "Output : 0.0123577 [ 0.91 %]\n", + "Levels : 0.000543365 [ 0.04 %]\n", + "Report : 1.387e-06 [ 0.00 %]\n", + "Balance : 7.03e-07 [ 0.00 %]\n", + "Adjust : 0.657421 [ 48.15 %]\n", + "Total : 1.36532 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.6%\n", + "--- Coef/DT = 4.8%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.7562e-03 sec\n", - "--- Collate = 1.0803e-04 sec\n", + "--- Update = 8.6550e-03 sec\n", + "--- Collate = 6.2585e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.786476e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.380962e-02 > 2.000000e-03 [41638]\n", + "--- Max DT=2.380711e-02 > 2.000000e-03 [41644]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41638/60000\n", - " Component | high: 0/20000\n", + " Component | high: 41643/60000\n", + " Component | high: 1/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.852] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00157006 [ 0.10 %]\n", - "Velocity : 0.00608791 [ 0.39 %]\n", - "Force : 0.572821 [ 36.27 %]\n", - "Coefs : 0.22592 [ 14.31 %]\n", - "Output : 0.020887 [ 1.32 %]\n", - "Levels : 0.000598295 [ 0.04 %]\n", - "Report : 1.01e-06 [ 0.00 %]\n", - "Balance : 6.33e-07 [ 0.00 %]\n", - "Adjust : 0.750446 [ 47.52 %]\n", - "Total : 1.57914 [100.00 %]\n", + "Drift : 0.0010492 [ 0.08 %]\n", + "Velocity : 0.00499604 [ 0.36 %]\n", + "Force : 0.504136 [ 36.39 %]\n", + "Coefs : 0.184108 [ 13.29 %]\n", + "Output : 0.0138837 [ 1.00 %]\n", + "Levels : 0.000437065 [ 0.03 %]\n", + "Report : 1.24e-06 [ 0.00 %]\n", + "Balance : 6.13e-07 [ 0.00 %]\n", + "Adjust : 0.676053 [ 48.80 %]\n", + "Total : 1.38529 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 8.9822e-03 sec\n", - "--- Collate = 7.7799e-05 sec\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.7708e-03 sec\n", + "--- Collate = 8.8500e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.224198e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.380814e-02 > 2.000000e-03 [41637]\n", + "--- Min DT=3.083964e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.381037e-02 > 2.000000e-03 [41649]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41637/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41649/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.854] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00158494 [ 0.10 %]\n", - "Velocity : 0.00603787 [ 0.38 %]\n", - "Force : 0.585138 [ 36.46 %]\n", - "Coefs : 0.226518 [ 14.12 %]\n", - "Output : 0.0220053 [ 1.37 %]\n", - "Levels : 0.000642814 [ 0.04 %]\n", - "Report : 1.041e-06 [ 0.00 %]\n", - "Balance : 7.99e-07 [ 0.00 %]\n", - "Adjust : 0.761956 [ 47.48 %]\n", - "Total : 1.60472 [100.00 %]\n", + "Drift : 0.0011242 [ 0.08 %]\n", + "Velocity : 0.00479517 [ 0.34 %]\n", + "Force : 0.529435 [ 37.18 %]\n", + "Coefs : 0.191749 [ 13.47 %]\n", + "Output : 0.0119867 [ 0.84 %]\n", + "Levels : 0.000397432 [ 0.03 %]\n", + "Report : 1.113e-06 [ 0.00 %]\n", + "Balance : 5.24e-07 [ 0.00 %]\n", + "Adjust : 0.683949 [ 48.03 %]\n", + "Total : 1.42399 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.3%\n", + "--- Coef/DT = 5.7%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 1.2762e-02 sec\n", - "--- Collate = 8.9008e-05 sec\n", + "--- Update = 8.8587e-03 sec\n", + "--- Collate = 7.8110e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.279868e-06 < 7.812500e-06 [4]\n", - "--- Max DT=2.380788e-02 > 2.000000e-03 [41661]\n", + "--- Max DT=2.381091e-02 > 2.000000e-03 [41666]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 4/20000\n", - " Component | high: 41661/60000\n", + " Component | high: 41666/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.856] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00154975 [ 0.08 %]\n", - "Velocity : 0.00708917 [ 0.35 %]\n", - "Force : 0.681368 [ 33.76 %]\n", - "Coefs : 0.275965 [ 13.67 %]\n", - "Output : 0.0187338 [ 0.93 %]\n", - "Levels : 0.000378096 [ 0.02 %]\n", - "Report : 1.484e-06 [ 0.00 %]\n", - "Balance : 6.5e-07 [ 0.00 %]\n", - "Adjust : 1.03223 [ 51.15 %]\n", - "Total : 2.01816 [100.00 %]\n", + "Drift : 0.00101219 [ 0.07 %]\n", + "Velocity : 0.0042258 [ 0.31 %]\n", + "Force : 0.502609 [ 37.00 %]\n", + "Coefs : 0.183327 [ 13.49 %]\n", + "Output : 0.0121819 [ 0.90 %]\n", + "Levels : 0.000419924 [ 0.03 %]\n", + "Report : 1.091e-06 [ 0.00 %]\n", + "Balance : 5.72e-07 [ 0.00 %]\n", + "Adjust : 0.65429 [ 48.16 %]\n", + "Total : 1.35858 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.9%\n", + "--- Coef/DT = 5.1%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.5120e-03 sec\n", - "--- Collate = 7.7511e-05 sec\n", + "--- Update = 8.4764e-03 sec\n", + "--- Collate = 1.1819e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.147029e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.380551e-02 > 2.000000e-03 [41654]\n", + "--- Min DT=2.392466e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.380995e-02 > 2.000000e-03 [41669]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41654/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41669/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.858] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00172675 [ 0.10 %]\n", - "Velocity : 0.00792469 [ 0.44 %]\n", - "Force : 0.630488 [ 34.90 %]\n", - "Coefs : 0.281203 [ 15.56 %]\n", - "Output : 0.0228566 [ 1.27 %]\n", - "Levels : 0.00055125 [ 0.03 %]\n", - "Report : 1.522e-06 [ 0.00 %]\n", - "Balance : 6.81e-07 [ 0.00 %]\n", - "Adjust : 0.861185 [ 47.67 %]\n", - "Total : 1.80673 [100.00 %]\n", + "Drift : 0.000966851 [ 0.07 %]\n", + "Velocity : 0.00418077 [ 0.31 %]\n", + "Force : 0.491589 [ 36.71 %]\n", + "Coefs : 0.181506 [ 13.55 %]\n", + "Output : 0.0116418 [ 0.87 %]\n", + "Levels : 0.000470866 [ 0.04 %]\n", + "Report : 1.282e-06 [ 0.00 %]\n", + "Balance : 6.36e-07 [ 0.00 %]\n", + "Adjust : 0.64837 [ 48.41 %]\n", + "Total : 1.33921 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.6%\n", + "--- Coef/DT = 11.0%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 8.6635e-03 sec\n", - "--- Collate = 7.5792e-05 sec\n", + "--- Update = 8.8429e-03 sec\n", + "--- Collate = 9.7677e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.380586e-02 > 2.000000e-03 [41655]\n", + "--- Min DT=3.685677e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.381319e-02 > 2.000000e-03 [41665]\n", "----------------------------------------------------------------------\n", - " Component | high: 41655/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41665/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.86] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00181827 [ 0.11 %]\n", - "Velocity : 0.00916883 [ 0.54 %]\n", - "Force : 0.568125 [ 33.21 %]\n", - "Coefs : 0.222477 [ 13.00 %]\n", - "Output : 0.143021 [ 8.36 %]\n", - "Levels : 0.000661793 [ 0.04 %]\n", - "Report : 9.6e-07 [ 0.00 %]\n", - "Balance : 5.54e-07 [ 0.00 %]\n", - "Adjust : 0.764878 [ 44.71 %]\n", - "Total : 1.71086 [100.00 %]\n", + "Drift : 0.00136942 [ 0.10 %]\n", + "Velocity : 0.00599164 [ 0.42 %]\n", + "Force : 0.471581 [ 32.80 %]\n", + "Coefs : 0.178489 [ 12.42 %]\n", + "Output : 0.128684 [ 8.95 %]\n", + "Levels : 0.000404793 [ 0.03 %]\n", + "Report : 1.201e-06 [ 0.00 %]\n", + "Balance : 5.58e-07 [ 0.00 %]\n", + "Adjust : 0.650428 [ 45.25 %]\n", + "Total : 1.43754 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.3%\n", - "--- Adj/Tot = 1.5%\n", - "--- Update = 1.3619e-02 sec\n", - "--- Collate = 7.8391e-05 sec\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 9.1122e-03 sec\n", + "--- Collate = 1.1703e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.335843e-06 < 7.812500e-06 [3]\n", - "--- Max DT=2.380869e-02 > 2.000000e-03 [41654]\n", + "--- Min DT=3.653475e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.381456e-02 > 2.000000e-03 [41656]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 3/20000\n", - " Component | high: 41654/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41656/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.862] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00196271 [ 0.12 %]\n", - "Velocity : 0.00920503 [ 0.55 %]\n", - "Force : 0.603771 [ 35.80 %]\n", - "Coefs : 0.237547 [ 14.08 %]\n", - "Output : 0.0224589 [ 1.33 %]\n", - "Levels : 0.000664208 [ 0.04 %]\n", - "Report : 1.503e-06 [ 0.00 %]\n", - "Balance : 5.94e-07 [ 0.00 %]\n", - "Adjust : 0.810241 [ 48.04 %]\n", - "Total : 1.68659 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00133828 [ 0.09 %]\n", + "Velocity : 0.00549709 [ 0.36 %]\n", + "Force : 0.529256 [ 35.02 %]\n", + "Coefs : 0.205611 [ 13.61 %]\n", + "Output : 0.0162591 [ 1.08 %]\n", + "Levels : 0.000567627 [ 0.04 %]\n", + "Report : 1.395e-06 [ 0.00 %]\n", + "Balance : 8.34e-07 [ 0.00 %]\n", + "Adjust : 0.752006 [ 49.76 %]\n", + "Total : 1.51119 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.7%\n", + "--- Coef/DT = 5.5%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.9761e-03 sec\n", - "--- Collate = 7.4629e-05 sec\n", + "--- Update = 8.7903e-03 sec\n", + "--- Collate = 8.5434e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.381269e-02 > 2.000000e-03 [41652]\n", + "--- Max DT=2.381512e-02 > 2.000000e-03 [41668]\n", "----------------------------------------------------------------------\n", - " Component | high: 41652/60000\n", + " Component | high: 41668/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.864] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00188713 [ 0.12 %]\n", - "Velocity : 0.00631082 [ 0.40 %]\n", - "Force : 0.584843 [ 36.64 %]\n", - "Coefs : 0.229751 [ 14.40 %]\n", - "Output : 0.0168271 [ 1.05 %]\n", - "Levels : 0.000352965 [ 0.02 %]\n", - "Report : 1.402e-06 [ 0.00 %]\n", - "Balance : 6.16e-07 [ 0.00 %]\n", - "Adjust : 0.755328 [ 47.33 %]\n", - "Total : 1.59603 [100.00 %]\n", + "Drift : 0.00125911 [ 0.09 %]\n", + "Velocity : 0.00472855 [ 0.33 %]\n", + "Force : 0.52649 [ 37.07 %]\n", + "Coefs : 0.191496 [ 13.48 %]\n", + "Output : 0.0129154 [ 0.91 %]\n", + "Levels : 0.000652298 [ 0.05 %]\n", + "Report : 1.364e-06 [ 0.00 %]\n", + "Balance : 4.56e-07 [ 0.00 %]\n", + "Adjust : 0.681952 [ 48.02 %]\n", + "Total : 1.42008 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", + "--- Coef/DT = 5.7%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 9.8016e-03 sec\n", - "--- Collate = 7.2177e-05 sec\n", + "--- Update = 8.5924e-03 sec\n", + "--- Collate = 9.1017e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.381909e-02 > 2.000000e-03 [41676]\n", + "--- Max DT=2.381421e-02 > 2.000000e-03 [41669]\n", "----------------------------------------------------------------------\n", - " Component | high: 41676/60000\n", + " Component | high: 41669/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.866] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00122919 [ 0.08 %]\n", - "Velocity : 0.00487355 [ 0.31 %]\n", - "Force : 0.566843 [ 36.02 %]\n", - "Coefs : 0.222287 [ 14.12 %]\n", - "Output : 0.0147244 [ 0.94 %]\n", - "Levels : 0.000507424 [ 0.03 %]\n", - "Report : 1.113e-06 [ 0.00 %]\n", - "Balance : 6.27e-07 [ 0.00 %]\n", - "Adjust : 0.76276 [ 48.46 %]\n", - "Total : 1.5739 [100.00 %]\n", + "Drift : 0.000881341 [ 0.07 %]\n", + "Velocity : 0.00396697 [ 0.30 %]\n", + "Force : 0.477279 [ 36.66 %]\n", + "Coefs : 0.17867 [ 13.72 %]\n", + "Output : 0.0113038 [ 0.87 %]\n", + "Levels : 0.000550615 [ 0.04 %]\n", + "Report : 1.615e-06 [ 0.00 %]\n", + "Balance : 5.42e-07 [ 0.00 %]\n", + "Adjust : 0.628744 [ 48.29 %]\n", + "Total : 1.30188 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.1%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.6242e-03 sec\n", - "--- Collate = 7.4278e-05 sec\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.0%\n", + "--- Update = 8.1166e-03 sec\n", + "--- Collate = 8.8544e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.840542e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.381799e-02 > 2.000000e-03 [41668]\n", + "--- Min DT=3.904548e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.380895e-02 > 2.000000e-03 [41657]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41668/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41657/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.868] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00145277 [ 0.08 %]\n", - "Velocity : 0.00605894 [ 0.34 %]\n", - "Force : 0.611384 [ 34.05 %]\n", - "Coefs : 0.251963 [ 14.03 %]\n", - "Output : 0.0253842 [ 1.41 %]\n", - "Levels : 0.00043926 [ 0.02 %]\n", - "Report : 1.796e-06 [ 0.00 %]\n", - "Balance : 9.02e-07 [ 0.00 %]\n", - "Adjust : 0.898109 [ 50.02 %]\n", - "Total : 1.79559 [100.00 %]\n", + "Drift : 0.000929945 [ 0.07 %]\n", + "Velocity : 0.00424235 [ 0.33 %]\n", + "Force : 0.484374 [ 37.60 %]\n", + "Coefs : 0.175688 [ 13.64 %]\n", + "Output : 0.00947947 [ 0.74 %]\n", + "Levels : 0.000336547 [ 0.03 %]\n", + "Report : 1.402e-06 [ 0.00 %]\n", + "Balance : 7.16e-07 [ 0.00 %]\n", + "Adjust : 0.612616 [ 47.56 %]\n", + "Total : 1.28813 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.0%\n", + "--- Coef/DT = 5.6%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.2012e-03 sec\n", - "--- Collate = 5.5385e-05 sec\n", + "--- Update = 8.0415e-03 sec\n", + "--- Collate = 6.7898e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.902368e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.381075e-02 > 2.000000e-03 [41672]\n", + "--- Min DT=3.798047e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.380767e-02 > 2.000000e-03 [41651]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 41672/60000\n", + " Component | high: 41651/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.87] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00207326 [ 0.13 %]\n", - "Velocity : 0.00989441 [ 0.60 %]\n", - "Force : 0.581909 [ 35.47 %]\n", - "Coefs : 0.227915 [ 13.89 %]\n", - "Output : 0.0233298 [ 1.42 %]\n", - "Levels : 0.000554594 [ 0.03 %]\n", - "Report : 1.494e-06 [ 0.00 %]\n", - "Balance : 5.03e-07 [ 0.00 %]\n", - "Adjust : 0.793962 [ 48.40 %]\n", - "Total : 1.64038 [100.00 %]\n", + "Drift : 0.000895094 [ 0.07 %]\n", + "Velocity : 0.00399223 [ 0.30 %]\n", + "Force : 0.496116 [ 37.02 %]\n", + "Coefs : 0.182727 [ 13.63 %]\n", + "Output : 0.0102514 [ 0.76 %]\n", + "Levels : 0.000357414 [ 0.03 %]\n", + "Report : 9.5e-07 [ 0.00 %]\n", + "Balance : 5.21e-07 [ 0.00 %]\n", + "Adjust : 0.645382 [ 48.16 %]\n", + "Total : 1.34021 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.9%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.3738e-03 sec\n", - "--- Collate = 6.8181e-05 sec\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.4647e-03 sec\n", + "--- Collate = 7.3423e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.380974e-02 > 2.000000e-03 [41667]\n", + "--- Max DT=2.380629e-02 > 2.000000e-03 [41649]\n", "----------------------------------------------------------------------\n", - " Component | high: 41667/60000\n", + " Component | high: 41649/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.872] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00189252 [ 0.12 %]\n", - "Velocity : 0.00903321 [ 0.56 %]\n", - "Force : 0.58244 [ 36.14 %]\n", - "Coefs : 0.225929 [ 14.02 %]\n", - "Output : 0.0229372 [ 1.42 %]\n", - "Levels : 0.000569221 [ 0.04 %]\n", - "Report : 1.372e-06 [ 0.00 %]\n", - "Balance : 7.18e-07 [ 0.00 %]\n", - "Adjust : 0.768037 [ 47.66 %]\n", - "Total : 1.61156 [100.00 %]\n", + "Drift : 0.000770324 [ 0.06 %]\n", + "Velocity : 0.00362867 [ 0.29 %]\n", + "Force : 0.461616 [ 37.19 %]\n", + "Coefs : 0.172231 [ 13.88 %]\n", + "Output : 0.00857475 [ 0.69 %]\n", + "Levels : 0.000351442 [ 0.03 %]\n", + "Report : 1.004e-06 [ 0.00 %]\n", + "Balance : 5.47e-07 [ 0.00 %]\n", + "Adjust : 0.593624 [ 47.83 %]\n", + "Total : 1.24122 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.9%\n", + "--- Coef/DT = 5.2%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.3901e-03 sec\n", - "--- Collate = 7.4111e-05 sec\n", + "--- Update = 7.8496e-03 sec\n", + "--- Collate = 7.2914e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.381288e-02 > 2.000000e-03 [41657]\n", + "--- Min DT=2.716209e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.380608e-02 > 2.000000e-03 [41661]\n", "----------------------------------------------------------------------\n", - " Component | high: 41657/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41661/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.874] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00178482 [ 0.11 %]\n", - "Velocity : 0.00929913 [ 0.57 %]\n", - "Force : 0.583547 [ 36.06 %]\n", - "Coefs : 0.229155 [ 14.16 %]\n", - "Output : 0.0229914 [ 1.42 %]\n", - "Levels : 0.000516276 [ 0.03 %]\n", - "Report : 9.06e-07 [ 0.00 %]\n", - "Balance : 4.82e-07 [ 0.00 %]\n", - "Adjust : 0.770016 [ 47.59 %]\n", - "Total : 1.61804 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000811416 [ 0.06 %]\n", + "Velocity : 0.00354852 [ 0.27 %]\n", + "Force : 0.479206 [ 37.09 %]\n", + "Coefs : 0.177319 [ 13.73 %]\n", + "Output : 0.00953906 [ 0.74 %]\n", + "Levels : 0.000302839 [ 0.02 %]\n", + "Report : 1.223e-06 [ 0.00 %]\n", + "Balance : 4.39e-07 [ 0.00 %]\n", + "Adjust : 0.620672 [ 48.05 %]\n", + "Total : 1.29185 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.8%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.5476e-03 sec\n", - "--- Collate = 3.1607e-04 sec\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.6046e-03 sec\n", + "--- Collate = 6.8990e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.300865e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.381455e-02 > 2.000000e-03 [41654]\n", + "--- Max DT=2.380650e-02 > 2.000000e-03 [41664]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41654/60000\n", + " Component | high: 41664/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.876] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00201396 [ 0.13 %]\n", - "Velocity : 0.00910363 [ 0.57 %]\n", - "Force : 0.570949 [ 35.82 %]\n", - "Coefs : 0.221747 [ 13.91 %]\n", - "Output : 0.023717 [ 1.49 %]\n", - "Levels : 0.000576925 [ 0.04 %]\n", - "Report : 1.406e-06 [ 0.00 %]\n", - "Balance : 4.86e-07 [ 0.00 %]\n", - "Adjust : 0.765147 [ 48.00 %]\n", - "Total : 1.59395 [100.00 %]\n", + "Drift : 0.000881387 [ 0.07 %]\n", + "Velocity : 0.00344212 [ 0.28 %]\n", + "Force : 0.46614 [ 37.31 %]\n", + "Coefs : 0.170439 [ 13.64 %]\n", + "Output : 0.00903867 [ 0.72 %]\n", + "Levels : 0.00033349 [ 0.03 %]\n", + "Report : 1.177e-06 [ 0.00 %]\n", + "Balance : 4.95e-07 [ 0.00 %]\n", + "Adjust : 0.598671 [ 47.92 %]\n", + "Total : 1.2494 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.5%\n", + "--- Coef/DT = 5.2%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.4087e-03 sec\n", - "--- Collate = 7.1178e-05 sec\n", + "--- Update = 8.1960e-03 sec\n", + "--- Collate = 7.5933e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.381389e-02 > 2.000000e-03 [41665]\n", + "--- Min DT=3.375611e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.380479e-02 > 2.000000e-03 [41665]\n", "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", " Component | high: 41665/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -14640,401 +14792,413 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.878] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00207513 [ 0.13 %]\n", - "Velocity : 0.00950806 [ 0.59 %]\n", - "Force : 0.581211 [ 35.82 %]\n", - "Coefs : 0.229884 [ 14.17 %]\n", - "Output : 0.0241228 [ 1.49 %]\n", - "Levels : 0.000581335 [ 0.04 %]\n", - "Report : 1.737e-06 [ 0.00 %]\n", - "Balance : 6.19e-07 [ 0.00 %]\n", - "Adjust : 0.774599 [ 47.73 %]\n", - "Total : 1.62275 [100.00 %]\n", + "Drift : 0.000868733 [ 0.07 %]\n", + "Velocity : 0.00363163 [ 0.28 %]\n", + "Force : 0.488133 [ 37.23 %]\n", + "Coefs : 0.181471 [ 13.84 %]\n", + "Output : 0.0100719 [ 0.77 %]\n", + "Levels : 0.000395327 [ 0.03 %]\n", + "Report : 1.118e-06 [ 0.00 %]\n", + "Balance : 4.43e-07 [ 0.00 %]\n", + "Adjust : 0.626135 [ 47.75 %]\n", + "Total : 1.31115 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.5%\n", + "--- Coef/DT = 5.0%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 8.6590e-03 sec\n", - "--- Collate = 7.0411e-05 sec\n", + "--- Update = 8.0933e-03 sec\n", + "--- Collate = 8.0760e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.851989e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.381389e-02 > 2.000000e-03 [41672]\n", + "--- Min DT=2.654744e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.380546e-02 > 2.000000e-03 [41663]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 41672/60000\n", + " Component | high: 41663/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.88] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00208867 [ 0.12 %]\n", - "Velocity : 0.00970405 [ 0.56 %]\n", - "Force : 0.580131 [ 33.42 %]\n", - "Coefs : 0.22427 [ 12.92 %]\n", - "Output : 0.143345 [ 8.26 %]\n", - "Levels : 0.000583696 [ 0.03 %]\n", - "Report : 1.369e-06 [ 0.00 %]\n", - "Balance : 6.27e-07 [ 0.00 %]\n", - "Adjust : 0.775156 [ 44.65 %]\n", - "Total : 1.73603 [100.00 %]\n", + "Drift : 0.00082876 [ 0.06 %]\n", + "Velocity : 0.0037224 [ 0.27 %]\n", + "Force : 0.482841 [ 35.21 %]\n", + "Coefs : 0.175354 [ 12.79 %]\n", + "Output : 0.100783 [ 7.35 %]\n", + "Levels : 0.000342235 [ 0.02 %]\n", + "Report : 1.282e-06 [ 0.00 %]\n", + "Balance : 4.97e-07 [ 0.00 %]\n", + "Adjust : 0.606935 [ 44.26 %]\n", + "Total : 1.37125 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.1%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 3.3456e-02 sec\n", - "--- Collate = 7.2669e-05 sec\n", + "--- Coef/DT = 7.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.2307e-03 sec\n", + "--- Collate = 9.1835e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.842290e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.381166e-02 > 2.000000e-03 [41663]\n", + "--- Min DT=3.838603e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.380591e-02 > 2.000000e-03 [41679]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 41663/60000\n", + " Component | high: 41679/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.882] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00210504 [ 0.12 %]\n", - "Velocity : 0.00991221 [ 0.56 %]\n", - "Force : 0.592796 [ 33.39 %]\n", - "Coefs : 0.250292 [ 14.10 %]\n", - "Output : 0.0279292 [ 1.57 %]\n", - "Levels : 0.000602641 [ 0.03 %]\n", - "Report : 1.699e-06 [ 0.00 %]\n", - "Balance : 8.58e-07 [ 0.00 %]\n", - "Adjust : 0.891183 [ 50.19 %]\n", - "Total : 1.77562 [100.00 %]\n", + "Drift : 0.000948695 [ 0.07 %]\n", + "Velocity : 0.00461038 [ 0.35 %]\n", + "Force : 0.490251 [ 37.43 %]\n", + "Coefs : 0.177267 [ 13.53 %]\n", + "Output : 0.0103413 [ 0.79 %]\n", + "Levels : 0.000454603 [ 0.03 %]\n", + "Report : 1.245e-06 [ 0.00 %]\n", + "Balance : 5.3e-07 [ 0.00 %]\n", + "Adjust : 0.625385 [ 47.75 %]\n", + "Total : 1.30972 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.3%\n", + "--- Coef/DT = 5.2%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0492e-02 sec\n", - "--- Collate = 1.5384e-04 sec\n", + "--- Update = 7.7410e-03 sec\n", + "--- Collate = 7.7595e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.287979e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.380860e-02 > 2.000000e-03 [41665]\n", + "--- Min DT=3.667530e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.380542e-02 > 2.000000e-03 [41684]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 2/20000\n", - " Component | high: 41665/60000\n", + " Component | high: 41684/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.884] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00166956 [ 0.09 %]\n", - "Velocity : 0.00786697 [ 0.44 %]\n", - "Force : 0.619143 [ 34.32 %]\n", - "Coefs : 0.291661 [ 16.17 %]\n", - "Output : 0.0178282 [ 0.99 %]\n", - "Levels : 0.000598647 [ 0.03 %]\n", - "Report : 1.532e-06 [ 0.00 %]\n", - "Balance : 7.34e-07 [ 0.00 %]\n", - "Adjust : 0.864277 [ 47.91 %]\n", - "Total : 1.80385 [100.00 %]\n", + "Drift : 0.00093239 [ 0.07 %]\n", + "Velocity : 0.00384578 [ 0.30 %]\n", + "Force : 0.464305 [ 36.75 %]\n", + "Coefs : 0.174183 [ 13.79 %]\n", + "Output : 0.00895622 [ 0.71 %]\n", + "Levels : 0.000404493 [ 0.03 %]\n", + "Report : 1.219e-06 [ 0.00 %]\n", + "Balance : 4.49e-07 [ 0.00 %]\n", + "Adjust : 0.61034 [ 48.31 %]\n", + "Total : 1.2634 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.2%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.9608e-03 sec\n", - "--- Collate = 8.0663e-05 sec\n", + "--- Coef/DT = 6.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.1838e-03 sec\n", + "--- Collate = 9.1520e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.730292e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.380466e-02 > 2.000000e-03 [41674]\n", + "--- Min DT=3.444628e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.380260e-02 > 2.000000e-03 [41676]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 41674/60000\n", + " Component | high: 41676/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.886] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00167645 [ 0.10 %]\n", - "Velocity : 0.00881136 [ 0.52 %]\n", - "Force : 0.607009 [ 35.83 %]\n", - "Coefs : 0.241653 [ 14.27 %]\n", - "Output : 0.018929 [ 1.12 %]\n", - "Levels : 0.000598037 [ 0.04 %]\n", - "Report : 1.433e-06 [ 0.00 %]\n", - "Balance : 6.68e-07 [ 0.00 %]\n", - "Adjust : 0.814409 [ 48.08 %]\n", - "Total : 1.69391 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00086158 [ 0.07 %]\n", + "Velocity : 0.00369514 [ 0.29 %]\n", + "Force : 0.470581 [ 37.33 %]\n", + "Coefs : 0.173835 [ 13.79 %]\n", + "Output : 0.0098186 [ 0.78 %]\n", + "Levels : 0.000401781 [ 0.03 %]\n", + "Report : 1.3e-06 [ 0.00 %]\n", + "Balance : 4.9e-07 [ 0.00 %]\n", + "Adjust : 0.600864 [ 47.67 %]\n", + "Total : 1.26048 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 7.2%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.1186e-02 sec\n", - "--- Collate = 8.0256e-05 sec\n", + "--- Coef/DT = 6.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.7420e-03 sec\n", + "--- Collate = 7.6478e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.646807e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.380530e-02 > 2.000000e-03 [41673]\n", + "--- Min DT=3.444158e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.380037e-02 > 2.000000e-03 [41682]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41672/60000\n", - " Component | high: 1/20000\n", + " Component | low: 2/20000\n", + " Component | high: 41682/60000\n", + " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.888] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00177585 [ 0.10 %]\n", - "Velocity : 0.00771484 [ 0.45 %]\n", - "Force : 0.592118 [ 34.17 %]\n", - "Coefs : 0.247967 [ 14.31 %]\n", - "Output : 0.0251061 [ 1.45 %]\n", - "Levels : 0.000693241 [ 0.04 %]\n", - "Report : 3.235e-06 [ 0.00 %]\n", - "Balance : 1.604e-06 [ 0.00 %]\n", - "Adjust : 0.856369 [ 49.42 %]\n", - "Total : 1.73267 [100.00 %]\n", + "Drift : 0.00085682 [ 0.07 %]\n", + "Velocity : 0.003876 [ 0.30 %]\n", + "Force : 0.478998 [ 36.73 %]\n", + "Coefs : 0.181221 [ 13.90 %]\n", + "Output : 0.0104855 [ 0.80 %]\n", + "Levels : 0.000405877 [ 0.03 %]\n", + "Report : 1.228e-06 [ 0.00 %]\n", + "Balance : 6.9e-07 [ 0.00 %]\n", + "Adjust : 0.627895 [ 48.14 %]\n", + "Total : 1.30419 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 7.0%\n", - "--- Adj/Tot = 1.4%\n", - "--- Update = 1.1828e-02 sec\n", - "--- Collate = 8.8285e-05 sec\n", + "--- Coef/DT = 6.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.2390e-03 sec\n", + "--- Collate = 8.3678e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.087158e-06 < 7.812500e-06 [3]\n", - "--- Max DT=2.380455e-02 > 2.000000e-03 [41676]\n", + "--- Min DT=4.766703e-07 < 7.812500e-06 [2]\n", + "--- Max DT=2.380355e-02 > 2.000000e-03 [41668]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 3/20000\n", - " Component | high: 41676/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41668/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.89] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00160618 [ 0.09 %]\n", - "Velocity : 0.00736696 [ 0.43 %]\n", - "Force : 0.610876 [ 35.50 %]\n", - "Coefs : 0.252949 [ 14.70 %]\n", - "Output : 0.0208458 [ 1.21 %]\n", - "Levels : 0.000699387 [ 0.04 %]\n", - "Report : 1.464e-06 [ 0.00 %]\n", - "Balance : 8.22e-07 [ 0.00 %]\n", - "Adjust : 0.825531 [ 47.98 %]\n", - "Total : 1.72074 [100.00 %]\n", + "Drift : 0.000823026 [ 0.07 %]\n", + "Velocity : 0.00346755 [ 0.27 %]\n", + "Force : 0.470742 [ 37.20 %]\n", + "Coefs : 0.176029 [ 13.91 %]\n", + "Output : 0.00908042 [ 0.72 %]\n", + "Levels : 0.000361343 [ 0.03 %]\n", + "Report : 1.173e-06 [ 0.00 %]\n", + "Balance : 5.39e-07 [ 0.00 %]\n", + "Adjust : 0.604594 [ 47.77 %]\n", + "Total : 1.26552 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.6%\n", + "--- Coef/DT = 6.5%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0938e-02 sec\n", - "--- Collate = 1.2226e-04 sec\n", + "--- Update = 8.4606e-03 sec\n", + "--- Collate = 9.2266e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.380209e-02 > 2.000000e-03 [41646]\n", + "--- Min DT=2.723870e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.380809e-02 > 2.000000e-03 [41647]\n", "----------------------------------------------------------------------\n", - " Component | high: 41646/60000\n", + " Component | low: 1/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41647/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.892] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00183082 [ 0.10 %]\n", - "Velocity : 0.00830224 [ 0.46 %]\n", - "Force : 0.630626 [ 34.89 %]\n", - "Coefs : 0.261366 [ 14.46 %]\n", - "Output : 0.024377 [ 1.35 %]\n", - "Levels : 0.000522327 [ 0.03 %]\n", - "Report : 1.194e-06 [ 0.00 %]\n", - "Balance : 7.66e-07 [ 0.00 %]\n", - "Adjust : 0.879383 [ 48.66 %]\n", - "Total : 1.80735 [100.00 %]\n", + "Drift : 0.000872169 [ 0.07 %]\n", + "Velocity : 0.00399544 [ 0.30 %]\n", + "Force : 0.487041 [ 37.00 %]\n", + "Coefs : 0.18113 [ 13.76 %]\n", + "Output : 0.0108794 [ 0.83 %]\n", + "Levels : 0.000444895 [ 0.03 %]\n", + "Report : 1.359e-06 [ 0.00 %]\n", + "Balance : 6.08e-07 [ 0.00 %]\n", + "Adjust : 0.631527 [ 47.97 %]\n", + "Total : 1.31638 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 7.6%\n", + "--- Coef/DT = 5.7%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0277e-02 sec\n", - "--- Collate = 7.0713e-05 sec\n", + "--- Update = 7.8616e-03 sec\n", + "--- Collate = 7.4684e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.416754e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.379939e-02 > 2.000000e-03 [41642]\n", + "--- Max DT=2.381256e-02 > 2.000000e-03 [41648]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41642/60000\n", + " Component | high: 41648/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.894] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00183993 [ 0.10 %]\n", - "Velocity : 0.00758644 [ 0.42 %]\n", - "Force : 0.648766 [ 35.52 %]\n", - "Coefs : 0.260542 [ 14.26 %]\n", - "Output : 0.0237439 [ 1.30 %]\n", - "Levels : 0.000514988 [ 0.03 %]\n", - "Report : 2.118e-06 [ 0.00 %]\n", - "Balance : 8.87e-07 [ 0.00 %]\n", - "Adjust : 0.882703 [ 48.33 %]\n", - "Total : 1.82656 [100.00 %]\n", + "Drift : 0.00112442 [ 0.08 %]\n", + "Velocity : 0.0045992 [ 0.34 %]\n", + "Force : 0.51479 [ 37.53 %]\n", + "Coefs : 0.18807 [ 13.71 %]\n", + "Output : 0.0130127 [ 0.95 %]\n", + "Levels : 0.000388772 [ 0.03 %]\n", + "Report : 1.356e-06 [ 0.00 %]\n", + "Balance : 6.14e-07 [ 0.00 %]\n", + "Adjust : 0.649112 [ 47.32 %]\n", + "Total : 1.37166 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.2%\n", + "--- Coef/DT = 5.8%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 9.9948e-03 sec\n", - "--- Collate = 8.6413e-05 sec\n", + "--- Update = 7.7823e-03 sec\n", + "--- Collate = 9.6410e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.270027e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.379967e-02 > 2.000000e-03 [41647]\n", + "--- Max DT=2.381046e-02 > 2.000000e-03 [41657]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41647/60000\n", + " Component | high: 41657/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.896] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00166699 [ 0.09 %]\n", - "Velocity : 0.00666418 [ 0.36 %]\n", - "Force : 0.650793 [ 35.44 %]\n", - "Coefs : 0.272828 [ 14.86 %]\n", - "Output : 0.0208102 [ 1.13 %]\n", - "Levels : 0.000653012 [ 0.04 %]\n", - "Report : 1.67e-06 [ 0.00 %]\n", - "Balance : 6.88e-07 [ 0.00 %]\n", - "Adjust : 0.881985 [ 48.03 %]\n", - "Total : 1.83626 [100.00 %]\n", + "Drift : 0.000939696 [ 0.07 %]\n", + "Velocity : 0.00390839 [ 0.30 %]\n", + "Force : 0.479113 [ 37.17 %]\n", + "Coefs : 0.174702 [ 13.55 %]\n", + "Output : 0.0100484 [ 0.78 %]\n", + "Levels : 0.000344981 [ 0.03 %]\n", + "Report : 1.092e-06 [ 0.00 %]\n", + "Balance : 5.39e-07 [ 0.00 %]\n", + "Adjust : 0.619357 [ 48.05 %]\n", + "Total : 1.28888 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.3%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.9853e-03 sec\n", - "--- Collate = 7.5712e-05 sec\n", + "--- Coef/DT = 6.1%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6403e-03 sec\n", + "--- Collate = 7.6161e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.566825e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.379613e-02 > 2.000000e-03 [41663]\n", + "--- Min DT=3.373158e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.380546e-02 > 2.000000e-03 [41656]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 41663/60000\n", + " Component | high: 41656/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.898] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00177812 [ 0.10 %]\n", - "Velocity : 0.00724082 [ 0.41 %]\n", - "Force : 0.631447 [ 35.94 %]\n", - "Coefs : 0.249047 [ 14.18 %]\n", - "Output : 0.022393 [ 1.27 %]\n", - "Levels : 0.000645447 [ 0.04 %]\n", - "Report : 1.576e-06 [ 0.00 %]\n", - "Balance : 7.79e-07 [ 0.00 %]\n", - "Adjust : 0.8434 [ 48.01 %]\n", - "Total : 1.75684 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000851734 [ 0.07 %]\n", + "Velocity : 0.00386429 [ 0.30 %]\n", + "Force : 0.469289 [ 36.90 %]\n", + "Coefs : 0.176077 [ 13.85 %]\n", + "Output : 0.00991426 [ 0.78 %]\n", + "Levels : 0.000365606 [ 0.03 %]\n", + "Report : 1.382e-06 [ 0.00 %]\n", + "Balance : 5.77e-07 [ 0.00 %]\n", + "Adjust : 0.610869 [ 48.04 %]\n", + "Total : 1.27169 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.3%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.1725e-02 sec\n", - "--- Collate = 9.5812e-05 sec\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.8350e-03 sec\n", + "--- Collate = 8.3279e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.881304e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.379230e-02 > 2.000000e-03 [41692]\n", + "--- Min DT=3.815113e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.380201e-02 > 2.000000e-03 [41678]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41692/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41678/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.9] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00168941 [ 0.08 %]\n", - "Velocity : 0.00666565 [ 0.33 %]\n", - "Force : 0.650879 [ 32.65 %]\n", - "Coefs : 0.27785 [ 13.94 %]\n", - "Output : 0.182733 [ 9.17 %]\n", - "Levels : 0.000788659 [ 0.04 %]\n", - "Report : 1.614e-06 [ 0.00 %]\n", - "Balance : 1.291e-06 [ 0.00 %]\n", - "Adjust : 0.871924 [ 43.74 %]\n", - "Total : 1.99339 [100.00 %]\n", + "Drift : 0.000853023 [ 0.06 %]\n", + "Velocity : 0.00361837 [ 0.27 %]\n", + "Force : 0.454657 [ 34.35 %]\n", + "Coefs : 0.170547 [ 12.89 %]\n", + "Output : 0.0999845 [ 7.55 %]\n", + "Levels : 0.000372926 [ 0.03 %]\n", + "Report : 1.474e-06 [ 0.00 %]\n", + "Balance : 3.92e-07 [ 0.00 %]\n", + "Adjust : 0.592927 [ 44.80 %]\n", + "Total : 1.32343 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.2%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.1254e-02 sec\n", - "--- Collate = 9.9183e-05 sec\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.7457e-03 sec\n", + "--- Collate = 9.8997e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.378915e-02 > 2.000000e-03 [41683]\n", + "--- Min DT=2.094969e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.379802e-02 > 2.000000e-03 [41683]\n", "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", " Component | high: 41683/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", @@ -15042,1654 +15206,18924 @@ "----------------------------------------------------------------------\n", "--- Timer info [T=0.902] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0016139 [ 0.09 %]\n", - "Velocity : 0.0062525 [ 0.34 %]\n", - "Force : 0.650191 [ 35.34 %]\n", - "Coefs : 0.27401 [ 14.89 %]\n", - "Output : 0.0182903 [ 0.99 %]\n", - "Levels : 0.00054253 [ 0.03 %]\n", - "Report : 1.179e-06 [ 0.00 %]\n", - "Balance : 5.34e-07 [ 0.00 %]\n", - "Adjust : 0.888369 [ 48.28 %]\n", - "Total : 1.84006 [100.00 %]\n", + "Drift : 0.00100456 [ 0.08 %]\n", + "Velocity : 0.0041947 [ 0.33 %]\n", + "Force : 0.466137 [ 36.22 %]\n", + "Coefs : 0.179357 [ 13.93 %]\n", + "Output : 0.0103016 [ 0.80 %]\n", + "Levels : 0.000325977 [ 0.03 %]\n", + "Report : 1.208e-06 [ 0.00 %]\n", + "Balance : 4.17e-07 [ 0.00 %]\n", + "Adjust : 0.625329 [ 48.58 %]\n", + "Total : 1.28712 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.6%\n", + "--- Coef/DT = 5.3%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 1.0971e-02 sec\n", - "--- Collate = 7.4166e-05 sec\n", + "--- Update = 8.4317e-03 sec\n", + "--- Collate = 9.0426e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.350498e-06 < 7.812500e-06 [3]\n", - "--- Max DT=2.378679e-02 > 2.000000e-03 [41676]\n", + "--- Max DT=2.379197e-02 > 2.000000e-03 [41684]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 3/20000\n", - " Component | high: 41676/60000\n", + " Component | high: 41684/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.904] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00138466 [ 0.08 %]\n", - "Velocity : 0.00642148 [ 0.36 %]\n", - "Force : 0.650037 [ 36.41 %]\n", - "Coefs : 0.25169 [ 14.10 %]\n", - "Output : 0.0170842 [ 0.96 %]\n", - "Levels : 0.000631485 [ 0.04 %]\n", - "Report : 1.312e-06 [ 0.00 %]\n", - "Balance : 7.25e-07 [ 0.00 %]\n", - "Adjust : 0.857278 [ 48.02 %]\n", - "Total : 1.78534 [100.00 %]\n", + "Drift : 0.000873008 [ 0.07 %]\n", + "Velocity : 0.00374673 [ 0.30 %]\n", + "Force : 0.45921 [ 36.56 %]\n", + "Coefs : 0.171306 [ 13.64 %]\n", + "Output : 0.0172069 [ 1.37 %]\n", + "Levels : 0.000456683 [ 0.04 %]\n", + "Report : 1.276e-06 [ 0.00 %]\n", + "Balance : 6.79e-07 [ 0.00 %]\n", + "Adjust : 0.602634 [ 47.99 %]\n", + "Total : 1.25587 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.7%\n", + "--- Coef/DT = 5.9%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.8604e-03 sec\n", - "--- Collate = 9.0072e-05 sec\n", + "--- Update = 8.4036e-03 sec\n", + "--- Collate = 1.0144e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.378733e-02 > 2.000000e-03 [41678]\n", + "--- Max DT=2.378392e-02 > 2.000000e-03 [41679]\n", "----------------------------------------------------------------------\n", - " Component | high: 41678/60000\n", + " Component | high: 41679/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.906] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0016212 [ 0.09 %]\n", - "Velocity : 0.00673381 [ 0.38 %]\n", - "Force : 0.642131 [ 36.15 %]\n", - "Coefs : 0.254539 [ 14.33 %]\n", - "Output : 0.0215942 [ 1.22 %]\n", - "Levels : 0.000669178 [ 0.04 %]\n", - "Report : 1.414e-06 [ 0.00 %]\n", - "Balance : 8.02e-07 [ 0.00 %]\n", - "Adjust : 0.848058 [ 47.74 %]\n", - "Total : 1.77623 [100.00 %]\n", + "Drift : 0.0008627 [ 0.07 %]\n", + "Velocity : 0.00377126 [ 0.29 %]\n", + "Force : 0.481795 [ 36.77 %]\n", + "Coefs : 0.181149 [ 13.83 %]\n", + "Output : 0.0101373 [ 0.77 %]\n", + "Levels : 0.000558959 [ 0.04 %]\n", + "Report : 1.204e-06 [ 0.00 %]\n", + "Balance : 5.37e-07 [ 0.00 %]\n", + "Adjust : 0.631473 [ 48.20 %]\n", + "Total : 1.31021 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 7.2%\n", + "--- Coef/DT = 5.2%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0538e-02 sec\n", - "--- Collate = 8.5304e-05 sec\n", + "--- Update = 7.7531e-03 sec\n", + "--- Collate = 6.5129e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.478483e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.379217e-02 > 2.000000e-03 [41681]\n", + "--- Min DT=2.421083e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.377728e-02 > 2.000000e-03 [41687]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 41681/60000\n", + " Component | high: 41687/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.908] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0019743 [ 0.11 %]\n", - "Velocity : 0.00938641 [ 0.50 %]\n", - "Force : 0.647409 [ 34.74 %]\n", - "Coefs : 0.264228 [ 14.18 %]\n", - "Output : 0.0214259 [ 1.15 %]\n", - "Levels : 0.000641631 [ 0.03 %]\n", - "Report : 1.965e-06 [ 0.00 %]\n", - "Balance : 1.181e-06 [ 0.00 %]\n", - "Adjust : 0.917404 [ 49.23 %]\n", - "Total : 1.86348 [100.00 %]\n", + "Drift : 0.000811601 [ 0.06 %]\n", + "Velocity : 0.00336404 [ 0.27 %]\n", + "Force : 0.461974 [ 36.90 %]\n", + "Coefs : 0.173391 [ 13.85 %]\n", + "Output : 0.0091243 [ 0.73 %]\n", + "Levels : 0.00036531 [ 0.03 %]\n", + "Report : 1.402e-06 [ 0.00 %]\n", + "Balance : 3.96e-07 [ 0.00 %]\n", + "Adjust : 0.60249 [ 48.12 %]\n", + "Total : 1.25195 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.8%\n", + "--- Coef/DT = 5.2%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0438e-02 sec\n", - "--- Collate = 9.3082e-05 sec\n", + "--- Update = 8.4305e-03 sec\n", + "--- Collate = 8.7130e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.378677e-02 > 2.000000e-03 [41680]\n", + "--- Max DT=2.377734e-02 > 2.000000e-03 [41669]\n", "----------------------------------------------------------------------\n", - " Component | high: 41680/60000\n", + " Component | high: 41669/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.91] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00170177 [ 0.10 %]\n", - "Velocity : 0.00725559 [ 0.41 %]\n", - "Force : 0.615392 [ 35.19 %]\n", - "Coefs : 0.251156 [ 14.36 %]\n", - "Output : 0.0214089 [ 1.22 %]\n", - "Levels : 0.000632805 [ 0.04 %]\n", - "Report : 1.2e-06 [ 0.00 %]\n", - "Balance : 1e-06 [ 0.00 %]\n", - "Adjust : 0.8501 [ 48.62 %]\n", - "Total : 1.74855 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00092078 [ 0.07 %]\n", + "Velocity : 0.00404583 [ 0.32 %]\n", + "Force : 0.472783 [ 36.84 %]\n", + "Coefs : 0.175771 [ 13.70 %]\n", + "Output : 0.00998159 [ 0.78 %]\n", + "Levels : 0.000526975 [ 0.04 %]\n", + "Report : 1.038e-06 [ 0.00 %]\n", + "Balance : 5.07e-07 [ 0.00 %]\n", + "Adjust : 0.618935 [ 48.23 %]\n", + "Total : 1.28341 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.3%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.0635e-02 sec\n", - "--- Collate = 9.3678e-05 sec\n", + "--- Coef/DT = 6.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.2531e-03 sec\n", + "--- Collate = 8.0038e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.386081e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.377992e-02 > 2.000000e-03 [41674]\n", + "--- Max DT=2.377639e-02 > 2.000000e-03 [41673]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41674/60000\n", + " Component | high: 41673/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.912] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00155006 [ 0.09 %]\n", - "Velocity : 0.00714479 [ 0.41 %]\n", - "Force : 0.617916 [ 35.57 %]\n", - "Coefs : 0.245629 [ 14.14 %]\n", - "Output : 0.018452 [ 1.06 %]\n", - "Levels : 0.00069404 [ 0.04 %]\n", - "Report : 1.273e-06 [ 0.00 %]\n", - "Balance : 8.03e-07 [ 0.00 %]\n", - "Adjust : 0.845158 [ 48.64 %]\n", - "Total : 1.73741 [100.00 %]\n", + "Drift : 0.000893304 [ 0.07 %]\n", + "Velocity : 0.00398216 [ 0.32 %]\n", + "Force : 0.457205 [ 36.95 %]\n", + "Coefs : 0.168828 [ 13.64 %]\n", + "Output : 0.010006 [ 0.81 %]\n", + "Levels : 0.000344877 [ 0.03 %]\n", + "Report : 1.075e-06 [ 0.00 %]\n", + "Balance : 4.44e-07 [ 0.00 %]\n", + "Adjust : 0.595665 [ 48.14 %]\n", + "Total : 1.23738 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.1%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.9205e-03 sec\n", - "--- Collate = 2.8029e-04 sec\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.8857e-03 sec\n", + "--- Collate = 9.1567e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.468819e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.377522e-02 > 2.000000e-03 [41666]\n", + "--- Min DT=2.932776e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.377630e-02 > 2.000000e-03 [41648]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 2/20000\n", - " Component | high: 41666/60000\n", + " Component | high: 41648/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.914] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00171687 [ 0.07 %]\n", - "Velocity : 0.00761646 [ 0.31 %]\n", - "Force : 0.732486 [ 29.53 %]\n", - "Coefs : 0.593684 [ 23.94 %]\n", - "Output : 0.0205455 [ 0.83 %]\n", - "Levels : 0.000544284 [ 0.02 %]\n", - "Report : 1.315e-06 [ 0.00 %]\n", - "Balance : 6.09e-07 [ 0.00 %]\n", - "Adjust : 1.12265 [ 45.27 %]\n", - "Total : 2.48014 [100.00 %]\n", + "Drift : 0.000823189 [ 0.06 %]\n", + "Velocity : 0.00368428 [ 0.29 %]\n", + "Force : 0.468422 [ 36.52 %]\n", + "Coefs : 0.174344 [ 13.59 %]\n", + "Output : 0.0101032 [ 0.79 %]\n", + "Levels : 0.000328426 [ 0.03 %]\n", + "Report : 1.559e-06 [ 0.00 %]\n", + "Balance : 5.09e-07 [ 0.00 %]\n", + "Adjust : 0.624613 [ 48.69 %]\n", + "Total : 1.28278 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.1715e-02 sec\n", - "--- Collate = 6.2359e-05 sec\n", + "--- Coef/DT = 6.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.8575e-03 sec\n", + "--- Collate = 1.0945e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.377279e-02 > 2.000000e-03 [41645]\n", + "--- Max DT=2.377332e-02 > 2.000000e-03 [41635]\n", "----------------------------------------------------------------------\n", - " Component | high: 41645/60000\n", + " Component | high: 41635/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.916] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00196038 [ 0.11 %]\n", - "Velocity : 0.00828875 [ 0.46 %]\n", - "Force : 0.615523 [ 34.09 %]\n", - "Coefs : 0.260426 [ 14.42 %]\n", - "Output : 0.0190634 [ 1.06 %]\n", - "Levels : 0.000561461 [ 0.03 %]\n", - "Report : 1.58e-06 [ 0.00 %]\n", - "Balance : 1.304e-06 [ 0.00 %]\n", - "Adjust : 0.898931 [ 49.79 %]\n", - "Total : 1.80561 [100.00 %]\n", + "Drift : 0.000896151 [ 0.07 %]\n", + "Velocity : 0.00416886 [ 0.33 %]\n", + "Force : 0.472426 [ 36.87 %]\n", + "Coefs : 0.177643 [ 13.86 %]\n", + "Output : 0.00999364 [ 0.78 %]\n", + "Levels : 0.00047975 [ 0.04 %]\n", + "Report : 1.328e-06 [ 0.00 %]\n", + "Balance : 7.21e-07 [ 0.00 %]\n", + "Adjust : 0.615358 [ 48.02 %]\n", + "Total : 1.28142 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.5%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 2.0512e-02 sec\n", - "--- Collate = 7.7119e-05 sec\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.4370e-03 sec\n", + "--- Collate = 8.7857e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.377679e-02 > 2.000000e-03 [41642]\n", + "--- Max DT=2.376619e-02 > 2.000000e-03 [41625]\n", "----------------------------------------------------------------------\n", - " Component | high: 41642/60000\n", + " Component | high: 41625/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.918] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00170665 [ 0.09 %]\n", - "Velocity : 0.00895323 [ 0.45 %]\n", - "Force : 0.664309 [ 33.31 %]\n", - "Coefs : 0.299111 [ 15.00 %]\n", - "Output : 0.0246836 [ 1.24 %]\n", - "Levels : 0.00067372 [ 0.03 %]\n", - "Report : 1.528e-06 [ 0.00 %]\n", - "Balance : 9.26e-07 [ 0.00 %]\n", - "Adjust : 0.994082 [ 49.85 %]\n", - "Total : 1.99428 [100.00 %]\n", + "Drift : 0.000947954 [ 0.07 %]\n", + "Velocity : 0.00400435 [ 0.31 %]\n", + "Force : 0.486805 [ 37.57 %]\n", + "Coefs : 0.179003 [ 13.81 %]\n", + "Output : 0.00959562 [ 0.74 %]\n", + "Levels : 0.00038983 [ 0.03 %]\n", + "Report : 1.376e-06 [ 0.00 %]\n", + "Balance : 7.65e-07 [ 0.00 %]\n", + "Adjust : 0.61459 [ 47.43 %]\n", + "Total : 1.29579 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 5.5%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0448e-02 sec\n", - "--- Collate = 9.8135e-05 sec\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7961e-03 sec\n", + "--- Collate = 6.8713e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.377629e-02 > 2.000000e-03 [41647]\n", + "--- Max DT=2.375913e-02 > 2.000000e-03 [41642]\n", "----------------------------------------------------------------------\n", - " Component | high: 41647/60000\n", + " Component | high: 41642/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.92] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00215648 [ 0.11 %]\n", - "Velocity : 0.010231 [ 0.52 %]\n", - "Force : 0.623824 [ 31.53 %]\n", - "Coefs : 0.300676 [ 15.19 %]\n", - "Output : 0.158496 [ 8.01 %]\n", - "Levels : 0.000562792 [ 0.03 %]\n", - "Report : 1.411e-06 [ 0.00 %]\n", - "Balance : 7.88e-07 [ 0.00 %]\n", - "Adjust : 0.882083 [ 44.58 %]\n", - "Total : 1.97881 [100.00 %]\n", + "Drift : 0.00088733 [ 0.06 %]\n", + "Velocity : 0.0035733 [ 0.26 %]\n", + "Force : 0.474689 [ 34.59 %]\n", + "Coefs : 0.175953 [ 12.82 %]\n", + "Output : 0.101795 [ 7.42 %]\n", + "Levels : 0.00046307 [ 0.03 %]\n", + "Report : 1.13e-06 [ 0.00 %]\n", + "Balance : 5.5e-07 [ 0.00 %]\n", + "Adjust : 0.61444 [ 44.78 %]\n", + "Total : 1.37226 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.4%\n", - "--- Adj/Tot = 1.4%\n", - "--- Update = 1.3253e-02 sec\n", - "--- Collate = 7.6406e-05 sec\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.6163e-03 sec\n", + "--- Collate = 8.1648e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.377393e-02 > 2.000000e-03 [41673]\n", + "--- Min DT=3.029203e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.376140e-02 > 2.000000e-03 [41668]\n", "----------------------------------------------------------------------\n", - " Component | high: 41673/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41668/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.922] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00218006 [ 0.09 %]\n", - "Velocity : 0.0103814 [ 0.45 %]\n", - "Force : 0.729771 [ 31.38 %]\n", - "Coefs : 0.417688 [ 17.96 %]\n", - "Output : 0.0243519 [ 1.05 %]\n", - "Levels : 0.000580447 [ 0.02 %]\n", - "Report : 9e-07 [ 0.00 %]\n", - "Balance : 5e-07 [ 0.00 %]\n", - "Adjust : 1.14001 [ 49.02 %]\n", - "Total : 2.32574 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000872439 [ 0.07 %]\n", + "Velocity : 0.00377252 [ 0.30 %]\n", + "Force : 0.466659 [ 37.50 %]\n", + "Coefs : 0.17196 [ 13.82 %]\n", + "Output : 0.00980107 [ 0.79 %]\n", + "Levels : 0.000363472 [ 0.03 %]\n", + "Report : 1.467e-06 [ 0.00 %]\n", + "Balance : 6.79e-07 [ 0.00 %]\n", + "Adjust : 0.590682 [ 47.46 %]\n", + "Total : 1.24453 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.0013e-02 sec\n", - "--- Collate = 6.4748e-05 sec\n", + "--- Coef/DT = 6.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.4068e-03 sec\n", + "--- Collate = 9.0041e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.287450e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.377161e-02 > 2.000000e-03 [41661]\n", + "--- Min DT=1.980710e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.377136e-02 > 2.000000e-03 [41656]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41661/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41656/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.924] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00215312 [ 0.11 %]\n", - "Velocity : 0.0100571 [ 0.51 %]\n", - "Force : 0.656538 [ 33.60 %]\n", - "Coefs : 0.298727 [ 15.29 %]\n", - "Output : 0.0256127 [ 1.31 %]\n", - "Levels : 0.000649925 [ 0.03 %]\n", - "Report : 1.871e-06 [ 0.00 %]\n", - "Balance : 1.232e-06 [ 0.00 %]\n", - "Adjust : 0.959254 [ 49.10 %]\n", - "Total : 1.95377 [100.00 %]\n", + "Drift : 0.000956793 [ 0.08 %]\n", + "Velocity : 0.00380608 [ 0.30 %]\n", + "Force : 0.468519 [ 36.89 %]\n", + "Coefs : 0.174823 [ 13.77 %]\n", + "Output : 0.010009 [ 0.79 %]\n", + "Levels : 0.000607545 [ 0.05 %]\n", + "Report : 1.268e-06 [ 0.00 %]\n", + "Balance : 5.56e-07 [ 0.00 %]\n", + "Adjust : 0.610773 [ 48.09 %]\n", + "Total : 1.26996 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 5.5%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0570e-02 sec\n", - "--- Collate = 5.3221e-05 sec\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.0143e-03 sec\n", + "--- Collate = 8.0285e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.176417e-06 < 7.812500e-06 [3]\n", - "--- Max DT=2.376863e-02 > 2.000000e-03 [41670]\n", + "--- Max DT=2.377959e-02 > 2.000000e-03 [41674]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 3/20000\n", - " Component | high: 41670/60000\n", + " Component | high: 41674/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.926] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00207651 [ 0.11 %]\n", - "Velocity : 0.0100636 [ 0.51 %]\n", - "Force : 0.674661 [ 34.29 %]\n", - "Coefs : 0.272452 [ 13.85 %]\n", - "Output : 0.0239966 [ 1.22 %]\n", - "Levels : 0.000520043 [ 0.03 %]\n", - "Report : 9.58e-07 [ 0.00 %]\n", - "Balance : 5.16e-07 [ 0.00 %]\n", - "Adjust : 0.982856 [ 49.96 %]\n", - "Total : 1.96735 [100.00 %]\n", + "Drift : 0.000852617 [ 0.07 %]\n", + "Velocity : 0.00366695 [ 0.28 %]\n", + "Force : 0.483843 [ 37.51 %]\n", + "Coefs : 0.175788 [ 13.63 %]\n", + "Output : 0.00949724 [ 0.74 %]\n", + "Levels : 0.000341944 [ 0.03 %]\n", + "Report : 1.463e-06 [ 0.00 %]\n", + "Balance : 6.59e-07 [ 0.00 %]\n", + "Adjust : 0.615544 [ 47.72 %]\n", + "Total : 1.28998 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.1%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0362e-02 sec\n", - "--- Collate = 8.1983e-05 sec\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.1880e-03 sec\n", + "--- Collate = 6.9574e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.376377e-02 > 2.000000e-03 [41674]\n", + "--- Min DT=3.019872e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.378241e-02 > 2.000000e-03 [41680]\n", "----------------------------------------------------------------------\n", - " Component | high: 41674/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41680/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.928] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00198053 [ 0.10 %]\n", - "Velocity : 0.0102932 [ 0.54 %]\n", - "Force : 0.663836 [ 34.56 %]\n", - "Coefs : 0.25737 [ 13.40 %]\n", - "Output : 0.0242171 [ 1.26 %]\n", - "Levels : 0.000579203 [ 0.03 %]\n", - "Report : 1.343e-06 [ 0.00 %]\n", - "Balance : 7.05e-07 [ 0.00 %]\n", - "Adjust : 0.962015 [ 50.08 %]\n", - "Total : 1.92105 [100.00 %]\n", + "Drift : 0.00078344 [ 0.06 %]\n", + "Velocity : 0.00363667 [ 0.29 %]\n", + "Force : 0.460189 [ 36.79 %]\n", + "Coefs : 0.173268 [ 13.85 %]\n", + "Output : 0.00864106 [ 0.69 %]\n", + "Levels : 0.000313253 [ 0.03 %]\n", + "Report : 1.068e-06 [ 0.00 %]\n", + "Balance : 4.77e-07 [ 0.00 %]\n", + "Adjust : 0.603508 [ 48.25 %]\n", + "Total : 1.25076 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info in comp, mlevel=4--------------------------------------\n", + "----------------------------------------------------------------------\n", + " COM: 3.310928e-03\n", + " Position: 7.428858e+00\n", + " --------------------------------------------------\n", + " *** fix pos : 7.234255e+00 \n", + " --------------------------------------------------\n", + " Ang mom: 5.816050e+00\n", + " Zero: 7.741726e-01\n", + " Accel: 5.072097e+01\n", + " Interaction: 1.317990e+01\n", + " --------------------------------------------------\n", + " *** dark halo <=> star disk : 7.122147e+00\n", + " *** star disk <=> dark halo : 5.990999e+00\n", + " --------------------------------------------------\n", + " External: 1.914904e-02\n", + " Expand: 3.984338e+01\n", + " Force: 5.173478e+01\n", + " Elapsed: 3.000117e+02\n", + "----------------------------------------------------------------------\n", + "\n", + "mstep/Mstep=176/256\n", + "0 |227 1 |227 2 |454 3 |909 4 |1817 \n", + "5 |3634 6 |7268 7 |14536 8 |29072 \n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.9%\n", + "--- Coef/DT = 4.8%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0485e-02 sec\n", - "--- Collate = 3.5283e-04 sec\n", + "--- Update = 7.6840e-03 sec\n", + "--- Collate = 8.5844e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.532056e-06 < 7.812500e-06 [3]\n", - "--- Max DT=2.375725e-02 > 2.000000e-03 [41679]\n", + "--- Max DT=2.377979e-02 > 2.000000e-03 [41688]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 3/20000\n", - " Component | high: 41679/60000\n", + " Component | high: 41688/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.93] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00206455 [ 0.11 %]\n", - "Velocity : 0.00958306 [ 0.51 %]\n", - "Force : 0.665927 [ 35.35 %]\n", - "Coefs : 0.265669 [ 14.10 %]\n", - "Output : 0.0247845 [ 1.32 %]\n", - "Levels : 0.000620643 [ 0.03 %]\n", - "Report : 1.536e-06 [ 0.00 %]\n", - "Balance : 5.99e-07 [ 0.00 %]\n", - "Adjust : 0.914392 [ 48.54 %]\n", - "Total : 1.8838 [100.00 %]\n", + "Drift : 0.000856238 [ 0.07 %]\n", + "Velocity : 0.00403749 [ 0.31 %]\n", + "Force : 0.48713 [ 37.07 %]\n", + "Coefs : 0.181618 [ 13.82 %]\n", + "Output : 0.00975987 [ 0.74 %]\n", + "Levels : 0.000309592 [ 0.02 %]\n", + "Report : 1.316e-06 [ 0.00 %]\n", + "Balance : 6.31e-07 [ 0.00 %]\n", + "Adjust : 0.629966 [ 47.94 %]\n", + "Total : 1.31414 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.8%\n", + "--- Coef/DT = 5.6%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.9448e-03 sec\n", - "--- Collate = 1.0375e-04 sec\n", + "--- Update = 8.5604e-03 sec\n", + "--- Collate = 7.8213e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.380069e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.375393e-02 > 2.000000e-03 [41675]\n", + "--- Min DT=2.631811e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.377027e-02 > 2.000000e-03 [41674]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41675/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41674/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.932] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00205938 [ 0.11 %]\n", - "Velocity : 0.00971706 [ 0.50 %]\n", - "Force : 0.6862 [ 35.62 %]\n", - "Coefs : 0.277211 [ 14.39 %]\n", - "Output : 0.0236104 [ 1.23 %]\n", - "Levels : 0.000519846 [ 0.03 %]\n", - "Report : 9.22e-07 [ 0.00 %]\n", - "Balance : 4.28e-07 [ 0.00 %]\n", - "Adjust : 0.926334 [ 48.09 %]\n", - "Total : 1.92639 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000869541 [ 0.07 %]\n", + "Velocity : 0.0038584 [ 0.31 %]\n", + "Force : 0.467883 [ 37.17 %]\n", + "Coefs : 0.174136 [ 13.83 %]\n", + "Output : 0.00953765 [ 0.76 %]\n", + "Levels : 0.000392749 [ 0.03 %]\n", + "Report : 1.029e-06 [ 0.00 %]\n", + "Balance : 4.53e-07 [ 0.00 %]\n", + "Adjust : 0.601743 [ 47.80 %]\n", + "Total : 1.25886 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.5%\n", - "--- Adj/Tot = 1.4%\n", - "--- Update = 1.0080e-02 sec\n", - "--- Collate = 8.7545e-05 sec\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.2616e-03 sec\n", + "--- Collate = 8.1546e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.375431e-02 > 2.000000e-03 [41681]\n", + "--- Max DT=2.376133e-02 > 2.000000e-03 [41675]\n", "----------------------------------------------------------------------\n", - " Component | high: 41681/60000\n", + " Component | high: 41675/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.934] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00208254 [ 0.12 %]\n", - "Velocity : 0.00922872 [ 0.52 %]\n", - "Force : 0.628251 [ 35.53 %]\n", - "Coefs : 0.249026 [ 14.08 %]\n", - "Output : 0.0238206 [ 1.35 %]\n", - "Levels : 0.00920635 [ 0.52 %]\n", - "Report : 2.227e-06 [ 0.00 %]\n", - "Balance : 1.117e-06 [ 0.00 %]\n", - "Adjust : 0.845703 [ 47.83 %]\n", - "Total : 1.76812 [100.00 %]\n", + "Drift : 0.000867583 [ 0.07 %]\n", + "Velocity : 0.0039569 [ 0.30 %]\n", + "Force : 0.482863 [ 36.78 %]\n", + "Coefs : 0.180611 [ 13.76 %]\n", + "Output : 0.0189512 [ 1.44 %]\n", + "Levels : 0.000366546 [ 0.03 %]\n", + "Report : 1.23e-06 [ 0.00 %]\n", + "Balance : 5.17e-07 [ 0.00 %]\n", + "Adjust : 0.624603 [ 47.58 %]\n", + "Total : 1.31271 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.5%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 9.2984e-03 sec\n", - "--- Collate = 1.2044e-04 sec\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.6539e-03 sec\n", + "--- Collate = 7.6768e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.375886e-02 > 2.000000e-03 [41671]\n", + "--- Min DT=3.605040e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.375577e-02 > 2.000000e-03 [41669]\n", "----------------------------------------------------------------------\n", - " Component | high: 41671/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41669/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.936] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0015927 [ 0.09 %]\n", - "Velocity : 0.00859942 [ 0.50 %]\n", - "Force : 0.614031 [ 35.70 %]\n", - "Coefs : 0.240217 [ 13.97 %]\n", - "Output : 0.0158256 [ 0.92 %]\n", - "Levels : 0.000649125 [ 0.04 %]\n", - "Report : 1.367e-06 [ 0.00 %]\n", - "Balance : 7.11e-07 [ 0.00 %]\n", - "Adjust : 0.838094 [ 48.73 %]\n", - "Total : 1.71983 [100.00 %]\n", + "Drift : 0.00184833 [ 0.14 %]\n", + "Velocity : 0.00883535 [ 0.67 %]\n", + "Force : 0.472413 [ 35.86 %]\n", + "Coefs : 0.172406 [ 13.09 %]\n", + "Output : 0.0201806 [ 1.53 %]\n", + "Levels : 0.000497808 [ 0.04 %]\n", + "Report : 1.182e-06 [ 0.00 %]\n", + "Balance : 5.78e-07 [ 0.00 %]\n", + "Adjust : 0.640634 [ 48.63 %]\n", + "Total : 1.31743 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.4%\n", - "--- Adj/Tot = 1.4%\n", - "--- Update = 1.1166e-02 sec\n", - "--- Collate = 1.0951e-04 sec\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.6826e-03 sec\n", + "--- Collate = 7.4722e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.691213e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.375851e-02 > 2.000000e-03 [41686]\n", + "--- Min DT=2.636420e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.375490e-02 > 2.000000e-03 [41693]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 41686/60000\n", + " Component | high: 41693/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.938] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00160526 [ 0.09 %]\n", - "Velocity : 0.00793558 [ 0.44 %]\n", - "Force : 0.638568 [ 35.69 %]\n", - "Coefs : 0.254723 [ 14.24 %]\n", - "Output : 0.0163513 [ 0.91 %]\n", - "Levels : 0.000611016 [ 0.03 %]\n", - "Report : 1.374e-06 [ 0.00 %]\n", - "Balance : 7.9e-07 [ 0.00 %]\n", - "Adjust : 0.868411 [ 48.54 %]\n", - "Total : 1.78903 [100.00 %]\n", + "Drift : 0.00184846 [ 0.14 %]\n", + "Velocity : 0.00837879 [ 0.64 %]\n", + "Force : 0.469571 [ 35.73 %]\n", + "Coefs : 0.175477 [ 13.35 %]\n", + "Output : 0.0198151 [ 1.51 %]\n", + "Levels : 0.000518193 [ 0.04 %]\n", + "Report : 9.33e-07 [ 0.00 %]\n", + "Balance : 6.07e-07 [ 0.00 %]\n", + "Adjust : 0.637943 [ 48.54 %]\n", + "Total : 1.31415 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.9%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.6356e-02 sec\n", - "--- Collate = 6.9088e-05 sec\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.2217e-03 sec\n", + "--- Collate = 7.2919e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.375767e-02 > 2.000000e-03 [41671]\n", + "--- Max DT=2.375271e-02 > 2.000000e-03 [41670]\n", "----------------------------------------------------------------------\n", - " Component | high: 41671/60000\n", + " Component | high: 41670/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.94] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00165057 [ 0.08 %]\n", - "Velocity : 0.00941435 [ 0.44 %]\n", - "Force : 0.691406 [ 31.96 %]\n", - "Coefs : 0.290986 [ 13.45 %]\n", - "Output : 0.163773 [ 7.57 %]\n", - "Levels : 0.000722623 [ 0.03 %]\n", - "Report : 1.154e-06 [ 0.00 %]\n", - "Balance : 7e-07 [ 0.00 %]\n", - "Adjust : 1.00439 [ 46.43 %]\n", - "Total : 2.16313 [100.00 %]\n", + "Drift : 0.0017941 [ 0.13 %]\n", + "Velocity : 0.0081982 [ 0.57 %]\n", + "Force : 0.475061 [ 33.31 %]\n", + "Coefs : 0.173075 [ 12.13 %]\n", + "Output : 0.1297 [ 9.09 %]\n", + "Levels : 0.000594978 [ 0.04 %]\n", + "Report : 1.258e-06 [ 0.00 %]\n", + "Balance : 6.69e-07 [ 0.00 %]\n", + "Adjust : 0.637285 [ 44.68 %]\n", + "Total : 1.42633 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.9%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.9290e-03 sec\n", - "--- Collate = 7.5117e-05 sec\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.3723e-03 sec\n", + "--- Collate = 9.3733e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.772743e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.376036e-02 > 2.000000e-03 [41684]\n", + "--- Min DT=3.367150e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.375514e-02 > 2.000000e-03 [41671]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 41684/60000\n", + " Component | high: 41671/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.942] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0022394 [ 0.11 %]\n", - "Velocity : 0.0100901 [ 0.51 %]\n", - "Force : 0.681284 [ 34.27 %]\n", - "Coefs : 0.294587 [ 14.82 %]\n", - "Output : 0.0240062 [ 1.21 %]\n", - "Levels : 0.000631834 [ 0.03 %]\n", - "Report : 1.189e-06 [ 0.00 %]\n", - "Balance : 6.02e-07 [ 0.00 %]\n", - "Adjust : 0.974629 [ 49.02 %]\n", - "Total : 1.98824 [100.00 %]\n", + "Drift : 0.00185188 [ 0.14 %]\n", + "Velocity : 0.00902993 [ 0.68 %]\n", + "Force : 0.48111 [ 36.14 %]\n", + "Coefs : 0.174105 [ 13.08 %]\n", + "Output : 0.0201491 [ 1.51 %]\n", + "Levels : 0.00047017 [ 0.04 %]\n", + "Report : 1.104e-06 [ 0.00 %]\n", + "Balance : 5.67e-07 [ 0.00 %]\n", + "Adjust : 0.643753 [ 48.36 %]\n", + "Total : 1.33106 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.2%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.0710e-02 sec\n", - "--- Collate = 6.7241e-05 sec\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.6974e-03 sec\n", + "--- Collate = 1.0572e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.375886e-02 > 2.000000e-03 [41714]\n", + "--- Min DT=2.431015e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.375890e-02 > 2.000000e-03 [41706]\n", "----------------------------------------------------------------------\n", - " Component | high: 41714/60000\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41706/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.944] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0019852 [ 0.10 %]\n", - "Velocity : 0.0094811 [ 0.50 %]\n", - "Force : 0.666442 [ 35.12 %]\n", - "Coefs : 0.308212 [ 16.24 %]\n", - "Output : 0.0238754 [ 1.26 %]\n", - "Levels : 0.000563022 [ 0.03 %]\n", - "Report : 1.301e-06 [ 0.00 %]\n", - "Balance : 6.06e-07 [ 0.00 %]\n", - "Adjust : 0.886031 [ 46.70 %]\n", - "Total : 1.89736 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00181538 [ 0.14 %]\n", + "Velocity : 0.00849938 [ 0.63 %]\n", + "Force : 0.489412 [ 36.52 %]\n", + "Coefs : 0.17732 [ 13.23 %]\n", + "Output : 0.0201323 [ 1.50 %]\n", + "Levels : 0.000513228 [ 0.04 %]\n", + "Report : 8.71e-07 [ 0.00 %]\n", + "Balance : 7.33e-07 [ 0.00 %]\n", + "Adjust : 0.641722 [ 47.89 %]\n", + "Total : 1.33998 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.3919e-02 sec\n", - "--- Collate = 1.9633e-04 sec\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.7194e-03 sec\n", + "--- Collate = 6.6372e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.977283e-06 < 7.812500e-06 [3]\n", - "--- Max DT=2.375236e-02 > 2.000000e-03 [41701]\n", + "--- Min DT=2.181444e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.375982e-02 > 2.000000e-03 [41688]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 3/20000\n", - " Component | high: 41701/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41688/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.946] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00186814 [ 0.08 %]\n", - "Velocity : 0.00981068 [ 0.41 %]\n", - "Force : 0.838407 [ 34.66 %]\n", - "Coefs : 0.309481 [ 12.79 %]\n", - "Output : 0.0248147 [ 1.03 %]\n", - "Levels : 0.000642606 [ 0.03 %]\n", - "Report : 1.538e-06 [ 0.00 %]\n", - "Balance : 6.78e-07 [ 0.00 %]\n", - "Adjust : 1.23332 [ 50.98 %]\n", - "Total : 2.41912 [100.00 %]\n", + "Drift : 0.0018591 [ 0.14 %]\n", + "Velocity : 0.00813812 [ 0.62 %]\n", + "Force : 0.479459 [ 36.39 %]\n", + "Coefs : 0.172099 [ 13.06 %]\n", + "Output : 0.0197718 [ 1.50 %]\n", + "Levels : 0.000485697 [ 0.04 %]\n", + "Report : 9.81e-07 [ 0.00 %]\n", + "Balance : 5.98e-07 [ 0.00 %]\n", + "Adjust : 0.635282 [ 48.21 %]\n", + "Total : 1.31768 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.7%\n", + "--- Coef/DT = 5.3%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.1023e-02 sec\n", - "--- Collate = 1.2928e-04 sec\n", + "--- Update = 7.6453e-03 sec\n", + "--- Collate = 7.1498e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.329313e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.374606e-02 > 2.000000e-03 [41681]\n", + "--- Max DT=2.376136e-02 > 2.000000e-03 [41672]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41681/60000\n", + " Component | high: 41672/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.948] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00200234 [ 0.10 %]\n", - "Velocity : 0.0102145 [ 0.52 %]\n", - "Force : 0.680304 [ 34.74 %]\n", - "Coefs : 0.271794 [ 13.88 %]\n", - "Output : 0.0238683 [ 1.22 %]\n", - "Levels : 0.000494249 [ 0.03 %]\n", - "Report : 1.317e-06 [ 0.00 %]\n", - "Balance : 7.67e-07 [ 0.00 %]\n", - "Adjust : 0.968955 [ 49.48 %]\n", - "Total : 1.95839 [100.00 %]\n", + "Drift : 0.00186592 [ 0.14 %]\n", + "Velocity : 0.00853319 [ 0.65 %]\n", + "Force : 0.467263 [ 35.67 %]\n", + "Coefs : 0.173043 [ 13.21 %]\n", + "Output : 0.0195007 [ 1.49 %]\n", + "Levels : 0.000472057 [ 0.04 %]\n", + "Report : 8.9e-07 [ 0.00 %]\n", + "Balance : 4.98e-07 [ 0.00 %]\n", + "Adjust : 0.638633 [ 48.75 %]\n", + "Total : 1.3099 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.8%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.0771e-02 sec\n", - "--- Collate = 7.3749e-05 sec\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.8787e-03 sec\n", + "--- Collate = 8.3594e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.374185e-02 > 2.000000e-03 [41660]\n", + "--- Max DT=2.376215e-02 > 2.000000e-03 [41662]\n", "----------------------------------------------------------------------\n", - " Component | high: 41660/60000\n", + " Component | high: 41662/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.95] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00198966 [ 0.11 %]\n", - "Velocity : 0.00990568 [ 0.52 %]\n", - "Force : 0.645327 [ 34.20 %]\n", - "Coefs : 0.270643 [ 14.34 %]\n", - "Output : 0.0236523 [ 1.25 %]\n", - "Levels : 0.00057563 [ 0.03 %]\n", - "Report : 1.504e-06 [ 0.00 %]\n", - "Balance : 6e-07 [ 0.00 %]\n", - "Adjust : 0.933998 [ 49.50 %]\n", - "Total : 1.88683 [100.00 %]\n", + "Drift : 0.00175631 [ 0.13 %]\n", + "Velocity : 0.00806954 [ 0.62 %]\n", + "Force : 0.471178 [ 35.96 %]\n", + "Coefs : 0.172165 [ 13.14 %]\n", + "Output : 0.0196465 [ 1.50 %]\n", + "Levels : 0.000525837 [ 0.04 %]\n", + "Report : 8.9e-07 [ 0.00 %]\n", + "Balance : 5.73e-07 [ 0.00 %]\n", + "Adjust : 0.636435 [ 48.57 %]\n", + "Total : 1.31035 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.9%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.0381e-02 sec\n", - "--- Collate = 6.1792e-05 sec\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.8140e-03 sec\n", + "--- Collate = 8.3158e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.352896e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.373946e-02 > 2.000000e-03 [41668]\n", + "--- Max DT=2.376298e-02 > 2.000000e-03 [41664]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41668/60000\n", + " Component | high: 41664/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.952] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00202809 [ 0.11 %]\n", - "Velocity : 0.00957977 [ 0.52 %]\n", - "Force : 0.648699 [ 35.42 %]\n", - "Coefs : 0.252849 [ 13.81 %]\n", - "Output : 0.0234398 [ 1.28 %]\n", - "Levels : 0.000614014 [ 0.03 %]\n", - "Report : 1.45e-06 [ 0.00 %]\n", - "Balance : 6.38e-07 [ 0.00 %]\n", - "Adjust : 0.893435 [ 48.78 %]\n", - "Total : 1.83139 [100.00 %]\n", + "Drift : 0.00186348 [ 0.14 %]\n", + "Velocity : 0.00837835 [ 0.63 %]\n", + "Force : 0.468919 [ 35.27 %]\n", + "Coefs : 0.172985 [ 13.01 %]\n", + "Output : 0.0279995 [ 2.11 %]\n", + "Levels : 0.000552237 [ 0.04 %]\n", + "Report : 1.666e-06 [ 0.00 %]\n", + "Balance : 6.18e-07 [ 0.00 %]\n", + "Adjust : 0.648104 [ 48.75 %]\n", + "Total : 1.32939 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.3%\n", + "--- Coef/DT = 6.2%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.1090e-02 sec\n", - "--- Collate = 7.8957e-05 sec\n", + "--- Update = 8.1831e-03 sec\n", + "--- Collate = 9.4862e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.919963e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.374014e-02 > 2.000000e-03 [41694]\n", + "--- Max DT=2.376268e-02 > 2.000000e-03 [41688]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41694/60000\n", + " Component | high: 41688/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.954] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00206159 [ 0.11 %]\n", - "Velocity : 0.0100952 [ 0.52 %]\n", - "Force : 0.685791 [ 35.09 %]\n", - "Coefs : 0.265131 [ 13.57 %]\n", - "Output : 0.0240289 [ 1.23 %]\n", - "Levels : 0.00058332 [ 0.03 %]\n", - "Report : 1.557e-06 [ 0.00 %]\n", - "Balance : 6.58e-07 [ 0.00 %]\n", - "Adjust : 0.965949 [ 49.42 %]\n", - "Total : 1.95439 [100.00 %]\n", + "Drift : 0.00124885 [ 0.10 %]\n", + "Velocity : 0.0046042 [ 0.35 %]\n", + "Force : 0.482397 [ 37.18 %]\n", + "Coefs : 0.176749 [ 13.62 %]\n", + "Output : 0.0120612 [ 0.93 %]\n", + "Levels : 0.000463127 [ 0.04 %]\n", + "Report : 1.21e-06 [ 0.00 %]\n", + "Balance : 5.99e-07 [ 0.00 %]\n", + "Adjust : 0.619498 [ 47.75 %]\n", + "Total : 1.2975 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 7.1%\n", - "--- Adj/Tot = 1.5%\n", - "--- Update = 1.0160e-02 sec\n", - "--- Collate = 8.0208e-05 sec\n", + "--- Coef/DT = 6.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.0223e-03 sec\n", + "--- Collate = 8.0437e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.263322e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.374702e-02 > 2.000000e-03 [41680]\n", + "--- Max DT=2.375747e-02 > 2.000000e-03 [41665]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41680/60000\n", + " Component | high: 41665/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.956] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00222268 [ 0.12 %]\n", - "Velocity : 0.0101524 [ 0.55 %]\n", - "Force : 0.644916 [ 34.88 %]\n", - "Coefs : 0.251075 [ 13.58 %]\n", - "Output : 0.0235092 [ 1.27 %]\n", - "Levels : 0.000584066 [ 0.03 %]\n", - "Report : 1.391e-06 [ 0.00 %]\n", - "Balance : 6.61e-07 [ 0.00 %]\n", - "Adjust : 0.915535 [ 49.52 %]\n", - "Total : 1.84873 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00101603 [ 0.08 %]\n", + "Velocity : 0.00427008 [ 0.33 %]\n", + "Force : 0.480349 [ 37.01 %]\n", + "Coefs : 0.178689 [ 13.77 %]\n", + "Output : 0.00972349 [ 0.75 %]\n", + "Levels : 0.00034766 [ 0.03 %]\n", + "Report : 1.534e-06 [ 0.00 %]\n", + "Balance : 7.54e-07 [ 0.00 %]\n", + "Adjust : 0.622862 [ 48.00 %]\n", + "Total : 1.29773 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.3%\n", + "--- Coef/DT = 5.7%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.8102e-03 sec\n", - "--- Collate = 7.7457e-05 sec\n", + "--- Update = 7.7367e-03 sec\n", + "--- Collate = 6.5963e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.482374e-07 < 7.812500e-06 [2]\n", - "--- Max DT=2.374611e-02 > 2.000000e-03 [41693]\n", + "--- Min DT=3.590798e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.375159e-02 > 2.000000e-03 [41682]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41693/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41682/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.958] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00202365 [ 0.11 %]\n", - "Velocity : 0.0100558 [ 0.55 %]\n", - "Force : 0.648558 [ 35.53 %]\n", - "Coefs : 0.254347 [ 13.93 %]\n", - "Output : 0.0240001 [ 1.31 %]\n", - "Levels : 0.000618695 [ 0.03 %]\n", - "Report : 1.718e-06 [ 0.00 %]\n", - "Balance : 7.44e-07 [ 0.00 %]\n", - "Adjust : 0.885039 [ 48.48 %]\n", - "Total : 1.82541 [100.00 %]\n", + "Drift : 0.000798015 [ 0.06 %]\n", + "Velocity : 0.0036344 [ 0.29 %]\n", + "Force : 0.464156 [ 37.05 %]\n", + "Coefs : 0.175306 [ 13.99 %]\n", + "Output : 0.00837663 [ 0.67 %]\n", + "Levels : 0.000282499 [ 0.02 %]\n", + "Report : 1.53e-06 [ 0.00 %]\n", + "Balance : 6.36e-07 [ 0.00 %]\n", + "Adjust : 0.59982 [ 47.88 %]\n", + "Total : 1.25279 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.3%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.0391e-02 sec\n", - "--- Collate = 8.5896e-05 sec\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.8860e-03 sec\n", + "--- Collate = 8.3741e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.382470e-06 < 7.812500e-06 [3]\n", - "--- Max DT=2.374290e-02 > 2.000000e-03 [41691]\n", + "--- Min DT=2.048216e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.374854e-02 > 2.000000e-03 [41683]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 3/20000\n", - " Component | high: 41691/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41683/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.96] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00207892 [ 0.09 %]\n", - "Velocity : 0.00992264 [ 0.42 %]\n", - "Force : 0.73273 [ 31.08 %]\n", - "Coefs : 0.383506 [ 16.27 %]\n", - "Output : 0.144967 [ 6.15 %]\n", - "Levels : 0.000661282 [ 0.03 %]\n", - "Report : 1.531e-06 [ 0.00 %]\n", - "Balance : 7.9e-07 [ 0.00 %]\n", - "Adjust : 1.08269 [ 45.93 %]\n", - "Total : 2.3573 [100.00 %]\n", + "Drift : 0.00084162 [ 0.06 %]\n", + "Velocity : 0.00411781 [ 0.29 %]\n", + "Force : 0.487699 [ 34.83 %]\n", + "Coefs : 0.181768 [ 12.98 %]\n", + "Output : 0.0997169 [ 7.12 %]\n", + "Levels : 0.000475325 [ 0.03 %]\n", + "Report : 1.363e-06 [ 0.00 %]\n", + "Balance : 5.78e-07 [ 0.00 %]\n", + "Adjust : 0.625087 [ 44.64 %]\n", + "Total : 1.40015 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.7%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 9.9555e-03 sec\n", - "--- Collate = 1.4679e-04 sec\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.5555e-03 sec\n", + "--- Collate = 6.7903e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.847566e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.374466e-02 > 2.000000e-03 [41701]\n", + "--- Max DT=2.374711e-02 > 2.000000e-03 [41696]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41701/60000\n", + " Component | high: 41696/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.962] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00210457 [ 0.11 %]\n", - "Velocity : 0.0102946 [ 0.55 %]\n", - "Force : 0.685958 [ 36.65 %]\n", - "Coefs : 0.258735 [ 13.82 %]\n", - "Output : 0.0240337 [ 1.28 %]\n", - "Levels : 0.0006009 [ 0.03 %]\n", - "Report : 1.333e-06 [ 0.00 %]\n", - "Balance : 7e-07 [ 0.00 %]\n", - "Adjust : 0.889038 [ 47.50 %]\n", - "Total : 1.8715 [100.00 %]\n", + "Drift : 0.0013157 [ 0.10 %]\n", + "Velocity : 0.00406292 [ 0.32 %]\n", + "Force : 0.474386 [ 36.93 %]\n", + "Coefs : 0.178516 [ 13.90 %]\n", + "Output : 0.00846037 [ 0.66 %]\n", + "Levels : 0.000493974 [ 0.04 %]\n", + "Report : 1.258e-06 [ 0.00 %]\n", + "Balance : 6.21e-07 [ 0.00 %]\n", + "Adjust : 0.616987 [ 48.03 %]\n", + "Total : 1.28464 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", + "--- Coef/DT = 5.1%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 9.8501e-03 sec\n", - "--- Collate = 1.3597e-04 sec\n", + "--- Update = 7.9704e-03 sec\n", + "--- Collate = 6.2940e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.357653e-06 < 7.812500e-06 [3]\n", - "--- Max DT=2.374532e-02 > 2.000000e-03 [41694]\n", + "--- Max DT=2.374567e-02 > 2.000000e-03 [41692]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 3/20000\n", - " Component | high: 41694/60000\n", + " Component | high: 41692/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.964] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00216177 [ 0.09 %]\n", - "Velocity : 0.00963304 [ 0.41 %]\n", - "Force : 0.704793 [ 30.00 %]\n", - "Coefs : 0.539107 [ 22.95 %]\n", - "Output : 0.021194 [ 0.90 %]\n", - "Levels : 0.000703031 [ 0.03 %]\n", - "Report : 1.492e-06 [ 0.00 %]\n", - "Balance : 6.64e-07 [ 0.00 %]\n", - "Adjust : 1.07064 [ 45.58 %]\n", - "Total : 2.34906 [100.00 %]\n", + "Drift : 0.000834877 [ 0.07 %]\n", + "Velocity : 0.0038034 [ 0.30 %]\n", + "Force : 0.477627 [ 37.56 %]\n", + "Coefs : 0.176122 [ 13.85 %]\n", + "Output : 0.00859149 [ 0.68 %]\n", + "Levels : 0.000362541 [ 0.03 %]\n", + "Report : 1.328e-06 [ 0.00 %]\n", + "Balance : 5.57e-07 [ 0.00 %]\n", + "Adjust : 0.603998 [ 47.49 %]\n", + "Total : 1.27175 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.7%\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.7014e-03 sec\n", + "--- Collate = 7.0304e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.374319e-02 > 2.000000e-03 [41692]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41692/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=0.966] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000857388 [ 0.07 %]\n", + "Velocity : 0.00397391 [ 0.31 %]\n", + "Force : 0.474383 [ 36.86 %]\n", + "Coefs : 0.178018 [ 13.83 %]\n", + "Output : 0.0102503 [ 0.80 %]\n", + "Levels : 0.000330017 [ 0.03 %]\n", + "Report : 9.89e-07 [ 0.00 %]\n", + "Balance : 4.33e-07 [ 0.00 %]\n", + "Adjust : 0.618611 [ 48.07 %]\n", + "Total : 1.28687 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.1893e-03 sec\n", + "--- Collate = 7.2388e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.182421e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.374477e-02 > 2.000000e-03 [41689]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41689/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=0.968] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000833666 [ 0.06 %]\n", + "Velocity : 0.00383592 [ 0.30 %]\n", + "Force : 0.481626 [ 37.40 %]\n", + "Coefs : 0.177195 [ 13.76 %]\n", + "Output : 0.00911916 [ 0.71 %]\n", + "Levels : 0.000364054 [ 0.03 %]\n", + "Report : 1.349e-06 [ 0.00 %]\n", + "Balance : 4.65e-07 [ 0.00 %]\n", + "Adjust : 0.614347 [ 47.71 %]\n", + "Total : 1.28776 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.4651e-03 sec\n", + "--- Collate = 8.0365e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.028667e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.375300e-02 > 2.000000e-03 [41707]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41707/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=0.97] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000815436 [ 0.06 %]\n", + "Velocity : 0.00384835 [ 0.30 %]\n", + "Force : 0.478165 [ 36.69 %]\n", + "Coefs : 0.179861 [ 13.80 %]\n", + "Output : 0.00933211 [ 0.72 %]\n", + "Levels : 0.000379048 [ 0.03 %]\n", + "Report : 1.305e-06 [ 0.00 %]\n", + "Balance : 5.99e-07 [ 0.00 %]\n", + "Adjust : 0.630442 [ 48.37 %]\n", + "Total : 1.30328 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.0%\n", "--- Adj/Tot = 1.1%\n", - "--- Update = 1.0868e-02 sec\n", - "--- Collate = 8.5543e-05 sec\n", + "--- Update = 7.6024e-03 sec\n", + "--- Collate = 6.9387e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.143880e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.374805e-02 > 2.000000e-03 [41687]\n", + "--- Min DT=3.430597e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.375533e-02 > 2.000000e-03 [41705]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 41687/60000\n", + " Component | high: 41705/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", - "--- Timer info [T=0.966] ---------------------------------------------\n", + "--- Timer info [T=0.972] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00188405 [ 0.07 %]\n", - "Velocity : 0.00954619 [ 0.33 %]\n", - "Force : 0.873123 [ 30.35 %]\n", - "Coefs : 0.549559 [ 19.10 %]\n", - "Output : 0.0236664 [ 0.82 %]\n", - "Levels : 0.00070385 [ 0.02 %]\n", - "Report : 1.259e-06 [ 0.00 %]\n", - "Balance : 7.05e-07 [ 0.00 %]\n", - "Adjust : 1.41776 [ 49.28 %]\n", - "Total : 2.87722 [100.00 %]\n", + "Drift : 0.000926023 [ 0.07 %]\n", + "Velocity : 0.00418646 [ 0.33 %]\n", + "Force : 0.483619 [ 37.56 %]\n", + "Coefs : 0.177742 [ 13.81 %]\n", + "Output : 0.00810986 [ 0.63 %]\n", + "Levels : 0.00029929 [ 0.02 %]\n", + "Report : 9.38e-07 [ 0.00 %]\n", + "Balance : 5.82e-07 [ 0.00 %]\n", + "Adjust : 0.612213 [ 47.55 %]\n", + "Total : 1.28752 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.8%\n", + "--- Coef/DT = 6.0%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0709e-02 sec\n", - "--- Collate = 1.0904e-04 sec\n", + "--- Update = 8.0803e-03 sec\n", + "--- Collate = 1.0113e-04 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.374761e-02 > 2.000000e-03 [41690]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41690/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=0.974] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000777049 [ 0.06 %]\n", + "Velocity : 0.00364835 [ 0.29 %]\n", + "Force : 0.472752 [ 37.68 %]\n", + "Coefs : 0.173586 [ 13.84 %]\n", + "Output : 0.00825335 [ 0.66 %]\n", + "Levels : 0.000360501 [ 0.03 %]\n", + "Report : 1.344e-06 [ 0.00 %]\n", + "Balance : 6.18e-07 [ 0.00 %]\n", + "Adjust : 0.594872 [ 47.41 %]\n", + "Total : 1.25467 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.2165e-03 sec\n", + "--- Collate = 8.1408e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.940018e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.374964e-02 > 2.000000e-03 [41698]\n", + "--- Min DT=6.177124e-07 < 7.812500e-06 [2]\n", + "--- Max DT=2.374372e-02 > 2.000000e-03 [41694]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 2/20000\n", - " Component | high: 41698/60000\n", + " Component | high: 41694/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", - "--- Timer info [T=0.968] ---------------------------------------------\n", + "--- Timer info [T=0.976] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00174618 [ 0.09 %]\n", - "Velocity : 0.0082648 [ 0.44 %]\n", - "Force : 0.66506 [ 35.44 %]\n", - "Coefs : 0.272564 [ 14.52 %]\n", - "Output : 0.0215261 [ 1.15 %]\n", - "Levels : 0.000593908 [ 0.03 %]\n", - "Report : 1.641e-06 [ 0.00 %]\n", - "Balance : 8.54e-07 [ 0.00 %]\n", - "Adjust : 0.906068 [ 48.28 %]\n", - "Total : 1.87659 [100.00 %]\n", + "Drift : 0.000983152 [ 0.08 %]\n", + "Velocity : 0.00438272 [ 0.34 %]\n", + "Force : 0.482296 [ 37.16 %]\n", + "Coefs : 0.179629 [ 13.84 %]\n", + "Output : 0.00941904 [ 0.73 %]\n", + "Levels : 0.000286244 [ 0.02 %]\n", + "Report : 1.424e-06 [ 0.00 %]\n", + "Balance : 6.69e-07 [ 0.00 %]\n", + "Adjust : 0.620484 [ 47.80 %]\n", + "Total : 1.29798 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 5.6%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 1.0558e-02 sec\n", - "--- Collate = 1.3249e-04 sec\n", + "--- Update = 7.8457e-03 sec\n", + "--- Collate = 6.6883e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.430809e-07 < 7.812500e-06 [3]\n", + "--- Max DT=2.374902e-02 > 2.000000e-03 [41681]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41681/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=0.978] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000828089 [ 0.06 %]\n", + "Velocity : 0.0036117 [ 0.28 %]\n", + "Force : 0.484321 [ 37.95 %]\n", + "Coefs : 0.176951 [ 13.87 %]\n", + "Output : 0.00810636 [ 0.64 %]\n", + "Levels : 0.000331842 [ 0.03 %]\n", + "Report : 1.107e-06 [ 0.00 %]\n", + "Balance : 6.45e-07 [ 0.00 %]\n", + "Adjust : 0.601485 [ 47.14 %]\n", + "Total : 1.27606 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.0995e-03 sec\n", + "--- Collate = 7.7843e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.374894e-02 > 2.000000e-03 [41688]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41688/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=0.98] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000847899 [ 0.06 %]\n", + "Velocity : 0.00373671 [ 0.27 %]\n", + "Force : 0.488986 [ 35.20 %]\n", + "Coefs : 0.181377 [ 13.06 %]\n", + "Output : 0.0936254 [ 6.74 %]\n", + "Levels : 0.000465564 [ 0.03 %]\n", + "Report : 1.54e-06 [ 0.00 %]\n", + "Balance : 5.1e-07 [ 0.00 %]\n", + "Adjust : 0.619573 [ 44.60 %]\n", + "Total : 1.38906 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.0586e-03 sec\n", + "--- Collate = 7.5188e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.893173e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.374847e-02 > 2.000000e-03 [41719]\n", + "--- Min DT=2.858646e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.374737e-02 > 2.000000e-03 [41667]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 41719/60000\n", + " Component | high: 41667/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", - "--- Timer info [T=0.97] ----------------------------------------------\n", + "--- Timer info [T=0.982] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000844666 [ 0.07 %]\n", + "Velocity : 0.00373001 [ 0.29 %]\n", + "Force : 0.483704 [ 37.86 %]\n", + "Coefs : 0.179271 [ 14.03 %]\n", + "Output : 0.00835947 [ 0.65 %]\n", + "Levels : 0.000309518 [ 0.02 %]\n", + "Report : 1.179e-06 [ 0.00 %]\n", + "Balance : 4.76e-07 [ 0.00 %]\n", + "Adjust : 0.600997 [ 47.04 %]\n", + "Total : 1.27765 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.5995e-03 sec\n", + "--- Collate = 8.5199e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.374812e-02 > 2.000000e-03 [41659]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41659/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=0.984] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000842087 [ 0.06 %]\n", + "Velocity : 0.00426123 [ 0.33 %]\n", + "Force : 0.484462 [ 37.38 %]\n", + "Coefs : 0.180666 [ 13.94 %]\n", + "Output : 0.00979969 [ 0.76 %]\n", + "Levels : 0.000526268 [ 0.04 %]\n", + "Report : 1.071e-06 [ 0.00 %]\n", + "Balance : 8.14e-07 [ 0.00 %]\n", + "Adjust : 0.614911 [ 47.45 %]\n", + "Total : 1.29595 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.8250e-03 sec\n", + "--- Collate = 9.8440e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.374625e-02 > 2.000000e-03 [41646]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41645/60000\n", + " Component | high: 1/20000\n", + "----------------------------------------------------------------------\n", + "\n", "----------------------------------------------------------------------\n", - "Drift : 0.0019763 [ 0.11 %]\n", - "Velocity : 0.00896605 [ 0.48 %]\n", - "Force : 0.658323 [ 35.25 %]\n", - "Coefs : 0.249665 [ 13.37 %]\n", - "Output : 0.0324387 [ 1.74 %]\n", - "Levels : 0.010202 [ 0.55 %]\n", - "Report : 1.958e-06 [ 0.00 %]\n", - "Balance : 1.286e-06 [ 0.00 %]\n", - "Adjust : 0.905395 [ 48.48 %]\n", - "Total : 1.86774 [100.00 %]\n", + "--- Timer info [T=0.986] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000865112 [ 0.07 %]\n", + "Velocity : 0.00394758 [ 0.30 %]\n", + "Force : 0.48735 [ 37.64 %]\n", + "Coefs : 0.179127 [ 13.83 %]\n", + "Output : 0.00854478 [ 0.66 %]\n", + "Levels : 0.000572712 [ 0.04 %]\n", + "Report : 1.237e-06 [ 0.00 %]\n", + "Balance : 6.58e-07 [ 0.00 %]\n", + "Adjust : 0.613903 [ 47.41 %]\n", + "Total : 1.29475 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 8.5%\n", + "--- Coef/DT = 5.4%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0679e-02 sec\n", - "--- Collate = 8.6950e-05 sec\n", + "--- Update = 8.0399e-03 sec\n", + "--- Collate = 7.6230e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.591448e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.374662e-02 > 2.000000e-03 [41714]\n", + "--- Min DT=3.840874e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.374183e-02 > 2.000000e-03 [41636]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41714/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41636/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", - "--- Timer info [T=0.972] ---------------------------------------------\n", + "--- Timer info [T=0.988] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00161565 [ 0.08 %]\n", - "Velocity : 0.00705187 [ 0.37 %]\n", - "Force : 0.674731 [ 35.30 %]\n", - "Coefs : 0.267947 [ 14.02 %]\n", - "Output : 0.0208654 [ 1.09 %]\n", - "Levels : 0.000696362 [ 0.04 %]\n", - "Report : 1.181e-06 [ 0.00 %]\n", - "Balance : 7e-07 [ 0.00 %]\n", - "Adjust : 0.937858 [ 49.06 %]\n", - "Total : 1.91157 [100.00 %]\n", + "Drift : 0.000891736 [ 0.07 %]\n", + "Velocity : 0.00390867 [ 0.31 %]\n", + "Force : 0.480236 [ 37.89 %]\n", + "Coefs : 0.177958 [ 14.04 %]\n", + "Output : 0.00807572 [ 0.64 %]\n", + "Levels : 0.000304007 [ 0.02 %]\n", + "Report : 1.281e-06 [ 0.00 %]\n", + "Balance : 4.49e-07 [ 0.00 %]\n", + "Adjust : 0.595704 [ 47.00 %]\n", + "Total : 1.26749 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.8%\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.1118e-03 sec\n", + "--- Collate = 7.2423e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.536670e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.373390e-02 > 2.000000e-03 [41658]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41658/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=0.99] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000877783 [ 0.07 %]\n", + "Velocity : 0.00364727 [ 0.28 %]\n", + "Force : 0.486102 [ 37.42 %]\n", + "Coefs : 0.182198 [ 14.02 %]\n", + "Output : 0.00834646 [ 0.64 %]\n", + "Levels : 0.000315 [ 0.02 %]\n", + "Report : 1.05e-06 [ 0.00 %]\n", + "Balance : 5.26e-07 [ 0.00 %]\n", + "Adjust : 0.617229 [ 47.51 %]\n", + "Total : 1.29916 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.2833e-03 sec\n", + "--- Collate = 7.8994e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.710059e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.373641e-02 > 2.000000e-03 [41665]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41665/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=0.992] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000796883 [ 0.06 %]\n", + "Velocity : 0.00342799 [ 0.27 %]\n", + "Force : 0.472502 [ 37.20 %]\n", + "Coefs : 0.174218 [ 13.72 %]\n", + "Output : 0.0162723 [ 1.28 %]\n", + "Levels : 0.000296371 [ 0.02 %]\n", + "Report : 1.203e-06 [ 0.00 %]\n", + "Balance : 7.25e-07 [ 0.00 %]\n", + "Adjust : 0.602262 [ 47.41 %]\n", + "Total : 1.27021 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.8533e-03 sec\n", + "--- Collate = 8.0400e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.354453e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.373400e-02 > 2.000000e-03 [41638]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41638/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=0.994] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00173005 [ 0.13 %]\n", + "Velocity : 0.00917956 [ 0.67 %]\n", + "Force : 0.495009 [ 36.25 %]\n", + "Coefs : 0.179455 [ 13.14 %]\n", + "Output : 0.0221075 [ 1.62 %]\n", + "Levels : 0.000559184 [ 0.04 %]\n", + "Report : 1.19e-06 [ 0.00 %]\n", + "Balance : 6.36e-07 [ 0.00 %]\n", + "Adjust : 0.656749 [ 48.10 %]\n", + "Total : 1.36539 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7278e-03 sec\n", + "--- Collate = 7.8411e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.931351e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.372570e-02 > 2.000000e-03 [41625]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41625/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=0.996] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00184589 [ 0.14 %]\n", + "Velocity : 0.00865613 [ 0.66 %]\n", + "Force : 0.480972 [ 36.41 %]\n", + "Coefs : 0.173483 [ 13.13 %]\n", + "Output : 0.020545 [ 1.56 %]\n", + "Levels : 0.000515433 [ 0.04 %]\n", + "Report : 1.121e-06 [ 0.00 %]\n", + "Balance : 6.03e-07 [ 0.00 %]\n", + "Adjust : 0.634306 [ 48.02 %]\n", + "Total : 1.32091 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.0%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.2253e-03 sec\n", + "--- Collate = 6.8567e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.371987e-02 > 2.000000e-03 [41624]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41624/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=0.998] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00193485 [ 0.14 %]\n", + "Velocity : 0.00859333 [ 0.63 %]\n", + "Force : 0.494235 [ 36.29 %]\n", + "Coefs : 0.182206 [ 13.38 %]\n", + "Output : 0.0209439 [ 1.54 %]\n", + "Levels : 0.000455389 [ 0.03 %]\n", + "Report : 1.257e-06 [ 0.00 %]\n", + "Balance : 5.74e-07 [ 0.00 %]\n", + "Adjust : 0.653075 [ 47.95 %]\n", + "Total : 1.36204 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.3780e-03 sec\n", + "--- Collate = 7.0039e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.371999e-02 > 2.000000e-03 [41611]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41611/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1] -------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00198425 [ 0.13 %]\n", + "Velocity : 0.00841217 [ 0.55 %]\n", + "Force : 0.475301 [ 30.95 %]\n", + "Coefs : 0.175964 [ 11.46 %]\n", + "Output : 0.240576 [ 15.66 %]\n", + "Levels : 0.000534899 [ 0.03 %]\n", + "Report : 1.263e-06 [ 0.00 %]\n", + "Balance : 5.38e-07 [ 0.00 %]\n", + "Adjust : 0.632546 [ 41.18 %]\n", + "Total : 1.53591 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Process 0 on raven pid=1181522 ROOT NODE\t Exiting EXP\n", + "---- ---- Process 1 on raven pid=1181523 rank in WORKER: 1\t Exiting EXP\n", + "---- ---- Process 2 on raven pid=1181524 rank in WORKER: 2\t Exiting EXP\n", + "---- ---- Process 3 on raven pid=1181525 rank in WORKER: 3\t Exiting EXP\n", + "---- ---- Process 4 on raven pid=1181526 rank in WORKER: 4\t Exiting EXP\n", + "---- ---- Process 5 on raven pid=1181527 rank in WORKER: 5\t Exiting EXP\n", + "Process 6 on raven---- ---- pid=1181528 rank in WORKER: 6\t Exiting EXP\n", + "Process 7 on raven pid=1181529 rank in WORKER: 7---- ---- \t Exiting EXP\n", + "Process 8 on raven pid=---- ---- ---- ---- 1181530 rank in WORKER: 8\t Exiting EXP\n", + "Process 9 on raven pid=1181531 rank in WORKER: 9\t Exiting EXP\n", + "Process 10 on ---- ---- raven pid=1181532 rank in WORKER: 10\t Exiting EXP\n", + "Process 11 on raven---- ---- pid=1181534 rank in WORKER: 11\t Exiting EXP\n", + "Process 12 on raven---- ---- pid=1181536 rank in WORKER: 12\t Exiting EXP\n", + "---- ---- Process 13 on raven pid=1181539 rank in WORKER: 13\t Exiting EXP\n", + "----------------------------------------------------------------------\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 21.7 s, sys: 3.85 s, total: 25.6 s\n", + "Wall time: 10min 53s\n" + ] + } + ], + "source": [ + "%%time\n", + "! rm data/*\n", + "! mpirun exp" + ] + }, + { + "cell_type": "markdown", + "id": "3661b2e4", + "metadata": {}, + "source": [ + "Restart the run to get a longer time series" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "942efc74-5ac0-4884-a389-15eb1cdd71cc", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 3.5514e-03 sec\n", + "--- Collate = 2.7109e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.705597e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.372542e-02 > 2.000000e-03 [41602]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41602/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.002] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000475846 [ 0.12 %]\n", + "Velocity : 0.0021939 [ 0.55 %]\n", + "Force : 0.151531 [ 38.00 %]\n", + "Coefs : 0.049079 [ 12.31 %]\n", + "Output : 0.00677805 [ 1.70 %]\n", + "Levels : 0.000299643 [ 0.08 %]\n", + "Report : 2.491e-06 [ 0.00 %]\n", + "Balance : 1.573e-06 [ 0.00 %]\n", + "Adjust : 0.188195 [ 47.20 %]\n", + "Total : 0.398742 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 9.6990e-03 sec\n", + "--- Collate = 1.0867e-04 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.742729e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.372905e-02 > 2.000000e-03 [41602]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41602/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.004] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00144531 [ 0.11 %]\n", + "Velocity : 0.00793364 [ 0.62 %]\n", + "Force : 0.46078 [ 35.75 %]\n", + "Coefs : 0.161071 [ 12.50 %]\n", + "Output : 0.0196666 [ 1.53 %]\n", + "Levels : 0.000559966 [ 0.04 %]\n", + "Report : 1.367e-06 [ 0.00 %]\n", + "Balance : 8.17e-07 [ 0.00 %]\n", + "Adjust : 0.636948 [ 49.41 %]\n", + "Total : 1.28907 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.2711e-03 sec\n", + "--- Collate = 6.5608e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.882964e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.372912e-02 > 2.000000e-03 [41599]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41599/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.006] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00211484 [ 0.14 %]\n", + "Velocity : 0.00956544 [ 0.62 %]\n", + "Force : 0.569965 [ 36.93 %]\n", + "Coefs : 0.197241 [ 12.78 %]\n", + "Output : 0.0222211 [ 1.44 %]\n", + "Levels : 0.000551633 [ 0.04 %]\n", + "Report : 1.193e-06 [ 0.00 %]\n", + "Balance : 7.61e-07 [ 0.00 %]\n", + "Adjust : 0.740782 [ 48.00 %]\n", + "Total : 1.54318 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.4935e-03 sec\n", + "--- Collate = 6.9891e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.372756e-02 > 2.000000e-03 [41602]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41602/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.008] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00201147 [ 0.13 %]\n", + "Velocity : 0.00969785 [ 0.64 %]\n", + "Force : 0.55432 [ 36.80 %]\n", + "Coefs : 0.191299 [ 12.70 %]\n", + "Output : 0.0224267 [ 1.49 %]\n", + "Levels : 0.000586105 [ 0.04 %]\n", + "Report : 1.452e-06 [ 0.00 %]\n", + "Balance : 7.64e-07 [ 0.00 %]\n", + "Adjust : 0.725205 [ 48.15 %]\n", + "Total : 1.50626 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.8722e-03 sec\n", + "--- Collate = 6.7913e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.291345e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.372751e-02 > 2.000000e-03 [41608]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41608/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.01] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00190893 [ 0.13 %]\n", + "Velocity : 0.00949704 [ 0.65 %]\n", + "Force : 0.53001 [ 36.23 %]\n", + "Coefs : 0.186784 [ 12.77 %]\n", + "Output : 0.0213136 [ 1.46 %]\n", + "Levels : 0.000456808 [ 0.03 %]\n", + "Report : 1.233e-06 [ 0.00 %]\n", + "Balance : 7.32e-07 [ 0.00 %]\n", + "Adjust : 0.71229 [ 48.69 %]\n", + "Total : 1.46296 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.4270e-03 sec\n", + "--- Collate = 6.6488e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.611760e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.372847e-02 > 2.000000e-03 [41611]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41611/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.012] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00194883 [ 0.13 %]\n", + "Velocity : 0.0094159 [ 0.64 %]\n", + "Force : 0.531792 [ 36.24 %]\n", + "Coefs : 0.185455 [ 12.64 %]\n", + "Output : 0.0216662 [ 1.48 %]\n", + "Levels : 0.000573824 [ 0.04 %]\n", + "Report : 1.22e-06 [ 0.00 %]\n", + "Balance : 7.51e-07 [ 0.00 %]\n", + "Adjust : 0.715749 [ 48.78 %]\n", + "Total : 1.46728 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 7.0%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 8.4342e-03 sec\n", + "--- Collate = 6.5890e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.647204e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.373543e-02 > 2.000000e-03 [41593]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41593/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.014] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00202245 [ 0.14 %]\n", + "Velocity : 0.00922239 [ 0.65 %]\n", + "Force : 0.508693 [ 35.68 %]\n", + "Coefs : 0.183055 [ 12.84 %]\n", + "Output : 0.0290472 [ 2.04 %]\n", + "Levels : 0.00055267 [ 0.04 %]\n", + "Report : 1.474e-06 [ 0.00 %]\n", + "Balance : 9.83e-07 [ 0.00 %]\n", + "Adjust : 0.692521 [ 48.57 %]\n", + "Total : 1.42576 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.9798e-03 sec\n", + "--- Collate = 1.2117e-04 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.374231e-02 > 2.000000e-03 [41582]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41582/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.016] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00172846 [ 0.12 %]\n", + "Velocity : 0.0093013 [ 0.64 %]\n", + "Force : 0.520048 [ 35.95 %]\n", + "Coefs : 0.187767 [ 12.98 %]\n", + "Output : 0.0213419 [ 1.48 %]\n", + "Levels : 0.000495187 [ 0.03 %]\n", + "Report : 1.18e-06 [ 0.00 %]\n", + "Balance : 5.78e-07 [ 0.00 %]\n", + "Adjust : 0.70525 [ 48.75 %]\n", + "Total : 1.44658 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.5035e-03 sec\n", + "--- Collate = 6.6716e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.262892e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.374197e-02 > 2.000000e-03 [41592]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41592/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.018] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00187687 [ 0.13 %]\n", + "Velocity : 0.00869467 [ 0.62 %]\n", + "Force : 0.511433 [ 36.26 %]\n", + "Coefs : 0.181412 [ 12.86 %]\n", + "Output : 0.0206654 [ 1.47 %]\n", + "Levels : 0.000607163 [ 0.04 %]\n", + "Report : 1.082e-06 [ 0.00 %]\n", + "Balance : 7.31e-07 [ 0.00 %]\n", + "Adjust : 0.685209 [ 48.58 %]\n", + "Total : 1.41056 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.8043e-03 sec\n", + "--- Collate = 6.4561e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.810125e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.374050e-02 > 2.000000e-03 [41598]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41598/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.02] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00178008 [ 0.12 %]\n", + "Velocity : 0.00841618 [ 0.57 %]\n", + "Force : 0.495952 [ 33.41 %]\n", + "Coefs : 0.17747 [ 11.95 %]\n", + "Output : 0.129467 [ 8.72 %]\n", + "Levels : 0.00054751 [ 0.04 %]\n", + "Report : 9.23e-07 [ 0.00 %]\n", + "Balance : 6.41e-07 [ 0.00 %]\n", + "Adjust : 0.670178 [ 45.15 %]\n", + "Total : 1.48449 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.8%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.3693e-03 sec\n", + "--- Collate = 6.5836e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.774493e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.373992e-02 > 2.000000e-03 [41593]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41593/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.022] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00197211 [ 0.14 %]\n", + "Velocity : 0.00922148 [ 0.66 %]\n", + "Force : 0.496389 [ 35.62 %]\n", + "Coefs : 0.180844 [ 12.98 %]\n", + "Output : 0.0210336 [ 1.51 %]\n", + "Levels : 0.000520991 [ 0.04 %]\n", + "Report : 1.05e-06 [ 0.00 %]\n", + "Balance : 6.56e-07 [ 0.00 %]\n", + "Adjust : 0.682931 [ 49.01 %]\n", + "Total : 1.39358 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.0302e-03 sec\n", + "--- Collate = 6.4378e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.430691e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.373142e-02 > 2.000000e-03 [41577]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41577/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.024] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00186733 [ 0.14 %]\n", + "Velocity : 0.0084823 [ 0.62 %]\n", + "Force : 0.494698 [ 36.16 %]\n", + "Coefs : 0.176361 [ 12.89 %]\n", + "Output : 0.0201659 [ 1.47 %]\n", + "Levels : 0.000521344 [ 0.04 %]\n", + "Report : 8.12e-07 [ 0.00 %]\n", + "Balance : 6.47e-07 [ 0.00 %]\n", + "Adjust : 0.665278 [ 48.63 %]\n", + "Total : 1.36803 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.4103e-03 sec\n", + "--- Collate = 7.0034e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.372323e-02 > 2.000000e-03 [41572]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41572/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.026] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00178575 [ 0.13 %]\n", + "Velocity : 0.00865475 [ 0.62 %]\n", + "Force : 0.504248 [ 36.13 %]\n", + "Coefs : 0.180117 [ 12.91 %]\n", + "Output : 0.0210278 [ 1.51 %]\n", + "Levels : 0.000471081 [ 0.03 %]\n", + "Report : 1.138e-06 [ 0.00 %]\n", + "Balance : 5.46e-07 [ 0.00 %]\n", + "Adjust : 0.678496 [ 48.62 %]\n", + "Total : 1.39546 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.4329e-03 sec\n", + "--- Collate = 6.4792e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.372233e-02 > 2.000000e-03 [41578]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41578/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.028] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00181454 [ 0.13 %]\n", + "Velocity : 0.00896196 [ 0.65 %]\n", + "Force : 0.496743 [ 36.09 %]\n", + "Coefs : 0.178759 [ 12.99 %]\n", + "Output : 0.0203689 [ 1.48 %]\n", + "Levels : 0.000553012 [ 0.04 %]\n", + "Report : 9.69e-07 [ 0.00 %]\n", + "Balance : 6.28e-07 [ 0.00 %]\n", + "Adjust : 0.668407 [ 48.57 %]\n", + "Total : 1.37629 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.2188e-03 sec\n", + "--- Collate = 6.5798e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.468447e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.372456e-02 > 2.000000e-03 [41592]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41592/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.03] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00186302 [ 0.14 %]\n", + "Velocity : 0.00867622 [ 0.64 %]\n", + "Force : 0.496111 [ 36.33 %]\n", + "Coefs : 0.177591 [ 13.00 %]\n", + "Output : 0.0199252 [ 1.46 %]\n", + "Levels : 0.000553145 [ 0.04 %]\n", + "Report : 1.132e-06 [ 0.00 %]\n", + "Balance : 6.58e-07 [ 0.00 %]\n", + "Adjust : 0.66039 [ 48.35 %]\n", + "Total : 1.36575 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.9650e-03 sec\n", + "--- Collate = 6.5554e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.228864e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.373062e-02 > 2.000000e-03 [41593]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41593/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.032] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00183459 [ 0.13 %]\n", + "Velocity : 0.00882421 [ 0.65 %]\n", + "Force : 0.489785 [ 36.04 %]\n", + "Coefs : 0.176198 [ 12.96 %]\n", + "Output : 0.0202785 [ 1.49 %]\n", + "Levels : 0.00046672 [ 0.03 %]\n", + "Report : 9.58e-07 [ 0.00 %]\n", + "Balance : 6.34e-07 [ 0.00 %]\n", + "Adjust : 0.661115 [ 48.64 %]\n", + "Total : 1.35913 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.2%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.9633e-03 sec\n", + "--- Collate = 6.9230e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.159835e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.373268e-02 > 2.000000e-03 [41595]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41595/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.034] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00187022 [ 0.14 %]\n", + "Velocity : 0.00872883 [ 0.64 %]\n", + "Force : 0.487808 [ 35.98 %]\n", + "Coefs : 0.177083 [ 13.06 %]\n", + "Output : 0.0205351 [ 1.51 %]\n", + "Levels : 0.000543225 [ 0.04 %]\n", + "Report : 9.56e-07 [ 0.00 %]\n", + "Balance : 5.66e-07 [ 0.00 %]\n", + "Adjust : 0.658516 [ 48.57 %]\n", + "Total : 1.35571 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.2074e-03 sec\n", + "--- Collate = 6.0908e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.373568e-02 > 2.000000e-03 [41594]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41594/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.036] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00186385 [ 0.14 %]\n", + "Velocity : 0.00862716 [ 0.63 %]\n", + "Force : 0.496266 [ 36.05 %]\n", + "Coefs : 0.179528 [ 13.04 %]\n", + "Output : 0.0204261 [ 1.48 %]\n", + "Levels : 0.000506044 [ 0.04 %]\n", + "Report : 1.001e-06 [ 0.00 %]\n", + "Balance : 5.02e-07 [ 0.00 %]\n", + "Adjust : 0.668766 [ 48.58 %]\n", + "Total : 1.3767 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.6081e-03 sec\n", + "--- Collate = 9.2194e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.373309e-02 > 2.000000e-03 [41597]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41597/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.038] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00192043 [ 0.14 %]\n", + "Velocity : 0.00885833 [ 0.65 %]\n", + "Force : 0.495428 [ 36.25 %]\n", + "Coefs : 0.17511 [ 12.81 %]\n", + "Output : 0.0202673 [ 1.48 %]\n", + "Levels : 0.000471361 [ 0.03 %]\n", + "Report : 9.7e-07 [ 0.00 %]\n", + "Balance : 7.1e-07 [ 0.00 %]\n", + "Adjust : 0.66397 [ 48.58 %]\n", + "Total : 1.3667 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.7941e-03 sec\n", + "--- Collate = 5.7650e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.444846e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.372586e-02 > 2.000000e-03 [41603]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41603/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.04] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00188453 [ 0.13 %]\n", + "Velocity : 0.00911807 [ 0.62 %]\n", + "Force : 0.494463 [ 33.50 %]\n", + "Coefs : 0.178684 [ 12.11 %]\n", + "Output : 0.129396 [ 8.77 %]\n", + "Levels : 0.000569529 [ 0.04 %]\n", + "Report : 9.85e-07 [ 0.00 %]\n", + "Balance : 4.89e-07 [ 0.00 %]\n", + "Adjust : 0.661275 [ 44.80 %]\n", + "Total : 1.47605 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.8407e-03 sec\n", + "--- Collate = 6.4888e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.111024e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.372528e-02 > 2.000000e-03 [41589]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41588/60000\n", + " Component | high: 1/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.042] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00183288 [ 0.13 %]\n", + "Velocity : 0.00913118 [ 0.66 %]\n", + "Force : 0.503504 [ 36.21 %]\n", + "Coefs : 0.180995 [ 13.01 %]\n", + "Output : 0.0205946 [ 1.48 %]\n", + "Levels : 0.000557692 [ 0.04 %]\n", + "Report : 1.134e-06 [ 0.00 %]\n", + "Balance : 6.58e-07 [ 0.00 %]\n", + "Adjust : 0.67342 [ 48.42 %]\n", + "Total : 1.3907 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 7.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.5490e-03 sec\n", + "--- Collate = 5.4282e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.484871e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.372174e-02 > 2.000000e-03 [41586]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41586/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.044] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00184738 [ 0.14 %]\n", + "Velocity : 0.00846493 [ 0.62 %]\n", + "Force : 0.495508 [ 36.23 %]\n", + "Coefs : 0.174473 [ 12.76 %]\n", + "Output : 0.0203031 [ 1.48 %]\n", + "Levels : 0.000489969 [ 0.04 %]\n", + "Report : 1.395e-06 [ 0.00 %]\n", + "Balance : 6.05e-07 [ 0.00 %]\n", + "Adjust : 0.665945 [ 48.69 %]\n", + "Total : 1.36766 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.8650e-03 sec\n", + "--- Collate = 6.4622e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.288114e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.371614e-02 > 2.000000e-03 [41597]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41597/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.046] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00186976 [ 0.14 %]\n", + "Velocity : 0.0081563 [ 0.61 %]\n", + "Force : 0.486955 [ 36.32 %]\n", + "Coefs : 0.173995 [ 12.98 %]\n", + "Output : 0.0198044 [ 1.48 %]\n", + "Levels : 0.000535154 [ 0.04 %]\n", + "Report : 1.224e-06 [ 0.00 %]\n", + "Balance : 7.71e-07 [ 0.00 %]\n", + "Adjust : 0.648785 [ 48.39 %]\n", + "Total : 1.34073 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.4627e-03 sec\n", + "--- Collate = 5.9668e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.110657e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.371455e-02 > 2.000000e-03 [41566]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41566/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.048] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00188309 [ 0.14 %]\n", + "Velocity : 0.00877395 [ 0.65 %]\n", + "Force : 0.486237 [ 36.01 %]\n", + "Coefs : 0.174123 [ 12.90 %]\n", + "Output : 0.020038 [ 1.48 %]\n", + "Levels : 0.000458882 [ 0.03 %]\n", + "Report : 1.035e-06 [ 0.00 %]\n", + "Balance : 5.86e-07 [ 0.00 %]\n", + "Adjust : 0.658126 [ 48.74 %]\n", + "Total : 1.35025 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.3377e-03 sec\n", + "--- Collate = 6.4213e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.372361e-02 > 2.000000e-03 [41593]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41593/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.05] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0017878 [ 0.13 %]\n", + "Velocity : 0.00851408 [ 0.64 %]\n", + "Force : 0.485573 [ 36.42 %]\n", + "Coefs : 0.171414 [ 12.86 %]\n", + "Output : 0.0199359 [ 1.50 %]\n", + "Levels : 0.000539105 [ 0.04 %]\n", + "Report : 9.64e-07 [ 0.00 %]\n", + "Balance : 6.57e-07 [ 0.00 %]\n", + "Adjust : 0.644908 [ 48.37 %]\n", + "Total : 1.3333 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.9068e-03 sec\n", + "--- Collate = 6.5039e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.006404e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.372946e-02 > 2.000000e-03 [41596]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41596/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.052] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00182492 [ 0.13 %]\n", + "Velocity : 0.00858666 [ 0.62 %]\n", + "Force : 0.501303 [ 36.34 %]\n", + "Coefs : 0.177439 [ 12.86 %]\n", + "Output : 0.0208409 [ 1.51 %]\n", + "Levels : 0.00052338 [ 0.04 %]\n", + "Report : 1.058e-06 [ 0.00 %]\n", + "Balance : 7.59e-07 [ 0.00 %]\n", + "Adjust : 0.668219 [ 48.44 %]\n", + "Total : 1.37941 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.5086e-03 sec\n", + "--- Collate = 8.2151e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.133221e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.372642e-02 > 2.000000e-03 [41606]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41606/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.054] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00184998 [ 0.14 %]\n", + "Velocity : 0.00857885 [ 0.64 %]\n", + "Force : 0.482597 [ 36.19 %]\n", + "Coefs : 0.172967 [ 12.97 %]\n", + "Output : 0.0198661 [ 1.49 %]\n", + "Levels : 0.000469056 [ 0.04 %]\n", + "Report : 9.44e-07 [ 0.00 %]\n", + "Balance : 5.29e-07 [ 0.00 %]\n", + "Adjust : 0.646504 [ 48.48 %]\n", + "Total : 1.33345 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.3267e-03 sec\n", + "--- Collate = 6.7613e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.917892e-06 < 7.812500e-06 [4]\n", + "--- Max DT=2.371931e-02 > 2.000000e-03 [41599]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 4/20000\n", + " Component | high: 41599/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.056] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00182383 [ 0.14 %]\n", + "Velocity : 0.00886263 [ 0.66 %]\n", + "Force : 0.480116 [ 35.84 %]\n", + "Coefs : 0.174572 [ 13.03 %]\n", + "Output : 0.0201182 [ 1.50 %]\n", + "Levels : 0.000516227 [ 0.04 %]\n", + "Report : 9.9e-07 [ 0.00 %]\n", + "Balance : 6.29e-07 [ 0.00 %]\n", + "Adjust : 0.652941 [ 48.74 %]\n", + "Total : 1.33961 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.3429e-03 sec\n", + "--- Collate = 7.6602e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.602813e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.371784e-02 > 2.000000e-03 [41593]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41593/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.058] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00192837 [ 0.14 %]\n", + "Velocity : 0.00865198 [ 0.63 %]\n", + "Force : 0.499491 [ 36.29 %]\n", + "Coefs : 0.176848 [ 12.85 %]\n", + "Output : 0.0203262 [ 1.48 %]\n", + "Levels : 0.000552762 [ 0.04 %]\n", + "Report : 1.005e-06 [ 0.00 %]\n", + "Balance : 5.78e-07 [ 0.00 %]\n", + "Adjust : 0.667957 [ 48.53 %]\n", + "Total : 1.37643 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.6870e-03 sec\n", + "--- Collate = 5.8475e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.174765e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.372080e-02 > 2.000000e-03 [41576]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41576/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.06] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00192062 [ 0.13 %]\n", + "Velocity : 0.00808375 [ 0.56 %]\n", + "Force : 0.485626 [ 33.62 %]\n", + "Coefs : 0.169795 [ 11.76 %]\n", + "Output : 0.12796 [ 8.86 %]\n", + "Levels : 0.000485831 [ 0.03 %]\n", + "Report : 8.99e-07 [ 0.00 %]\n", + "Balance : 4.95e-07 [ 0.00 %]\n", + "Adjust : 0.649877 [ 44.99 %]\n", + "Total : 1.4444 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7357e-03 sec\n", + "--- Collate = 5.9505e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.166153e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.372044e-02 > 2.000000e-03 [41583]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41583/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.062] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00187415 [ 0.14 %]\n", + "Velocity : 0.00856354 [ 0.64 %]\n", + "Force : 0.484826 [ 35.99 %]\n", + "Coefs : 0.172843 [ 12.83 %]\n", + "Output : 0.0200518 [ 1.49 %]\n", + "Levels : 0.000514813 [ 0.04 %]\n", + "Report : 1.047e-06 [ 0.00 %]\n", + "Balance : 6.16e-07 [ 0.00 %]\n", + "Adjust : 0.657688 [ 48.83 %]\n", + "Total : 1.34702 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.8340e-03 sec\n", + "--- Collate = 6.2322e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.149342e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.371702e-02 > 2.000000e-03 [41571]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41571/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.064] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00183051 [ 0.14 %]\n", + "Velocity : 0.00774745 [ 0.58 %]\n", + "Force : 0.488283 [ 36.46 %]\n", + "Coefs : 0.17427 [ 13.01 %]\n", + "Output : 0.0196407 [ 1.47 %]\n", + "Levels : 0.000526901 [ 0.04 %]\n", + "Report : 1.09e-06 [ 0.00 %]\n", + "Balance : 5.26e-07 [ 0.00 %]\n", + "Adjust : 0.646177 [ 48.25 %]\n", + "Total : 1.33911 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6889e-03 sec\n", + "--- Collate = 6.2947e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.327520e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.371261e-02 > 2.000000e-03 [41556]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41556/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.066] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00186071 [ 0.14 %]\n", + "Velocity : 0.00821312 [ 0.61 %]\n", + "Force : 0.488566 [ 36.02 %]\n", + "Coefs : 0.17558 [ 12.94 %]\n", + "Output : 0.0205897 [ 1.52 %]\n", + "Levels : 0.000598538 [ 0.04 %]\n", + "Report : 9.72e-07 [ 0.00 %]\n", + "Balance : 7.03e-07 [ 0.00 %]\n", + "Adjust : 0.660409 [ 48.69 %]\n", + "Total : 1.35647 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.8%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.7832e-03 sec\n", + "--- Collate = 6.8686e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.973851e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.371356e-02 > 2.000000e-03 [41566]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41566/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.068] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00190929 [ 0.14 %]\n", + "Velocity : 0.00847535 [ 0.64 %]\n", + "Force : 0.483251 [ 36.40 %]\n", + "Coefs : 0.172011 [ 12.95 %]\n", + "Output : 0.0195516 [ 1.47 %]\n", + "Levels : 0.000528218 [ 0.04 %]\n", + "Report : 8.48e-07 [ 0.00 %]\n", + "Balance : 6.47e-07 [ 0.00 %]\n", + "Adjust : 0.64139 [ 48.31 %]\n", + "Total : 1.32776 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.3426e-03 sec\n", + "--- Collate = 6.9172e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.903593e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.371683e-02 > 2.000000e-03 [41553]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41553/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.07] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00182512 [ 0.13 %]\n", + "Velocity : 0.00845674 [ 0.62 %]\n", + "Force : 0.489301 [ 36.14 %]\n", + "Coefs : 0.176865 [ 13.06 %]\n", + "Output : 0.020488 [ 1.51 %]\n", + "Levels : 0.00051944 [ 0.04 %]\n", + "Report : 9.42e-07 [ 0.00 %]\n", + "Balance : 5.67e-07 [ 0.00 %]\n", + "Adjust : 0.655751 [ 48.43 %]\n", + "Total : 1.35388 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.7403e-03 sec\n", + "--- Collate = 5.8911e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.252336e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.372238e-02 > 2.000000e-03 [41562]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41562/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.072] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00176315 [ 0.13 %]\n", + "Velocity : 0.00838342 [ 0.62 %]\n", + "Force : 0.488248 [ 36.22 %]\n", + "Coefs : 0.175174 [ 13.00 %]\n", + "Output : 0.0196235 [ 1.46 %]\n", + "Levels : 0.00833083 [ 0.62 %]\n", + "Report : 1.16e-06 [ 0.00 %]\n", + "Balance : 4.78e-07 [ 0.00 %]\n", + "Adjust : 0.645706 [ 47.91 %]\n", + "Total : 1.34784 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.8038e-03 sec\n", + "--- Collate = 7.2278e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.373092e-02 > 2.000000e-03 [41582]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41582/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.074] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0018765 [ 0.14 %]\n", + "Velocity : 0.00904317 [ 0.67 %]\n", + "Force : 0.495969 [ 36.53 %]\n", + "Coefs : 0.178773 [ 13.17 %]\n", + "Output : 0.0199402 [ 1.47 %]\n", + "Levels : 0.000531971 [ 0.04 %]\n", + "Report : 1.229e-06 [ 0.00 %]\n", + "Balance : 5e-07 [ 0.00 %]\n", + "Adjust : 0.651088 [ 47.95 %]\n", + "Total : 1.35789 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.5328e-03 sec\n", + "--- Collate = 5.8468e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.373158e-02 > 2.000000e-03 [41591]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41591/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.076] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00187815 [ 0.14 %]\n", + "Velocity : 0.00903762 [ 0.66 %]\n", + "Force : 0.496454 [ 36.18 %]\n", + "Coefs : 0.177441 [ 12.93 %]\n", + "Output : 0.0206753 [ 1.51 %]\n", + "Levels : 0.000526699 [ 0.04 %]\n", + "Report : 1.386e-06 [ 0.00 %]\n", + "Balance : 6.04e-07 [ 0.00 %]\n", + "Adjust : 0.66555 [ 48.50 %]\n", + "Total : 1.37223 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.1723e-03 sec\n", + "--- Collate = 6.5025e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.372321e-02 > 2.000000e-03 [41584]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41584/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.078] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00182154 [ 0.13 %]\n", + "Velocity : 0.00903748 [ 0.66 %]\n", + "Force : 0.497755 [ 36.58 %]\n", + "Coefs : 0.178846 [ 13.14 %]\n", + "Output : 0.0205646 [ 1.51 %]\n", + "Levels : 0.000455105 [ 0.03 %]\n", + "Report : 1.118e-06 [ 0.00 %]\n", + "Balance : 4.3e-07 [ 0.00 %]\n", + "Adjust : 0.651702 [ 47.89 %]\n", + "Total : 1.36082 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.4954e-03 sec\n", + "--- Collate = 5.5048e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.371783e-02 > 2.000000e-03 [41588]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41588/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.08] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00186262 [ 0.13 %]\n", + "Velocity : 0.00874377 [ 0.59 %]\n", + "Force : 0.501759 [ 33.90 %]\n", + "Coefs : 0.180383 [ 12.19 %]\n", + "Output : 0.110418 [ 7.46 %]\n", + "Levels : 0.00834888 [ 0.56 %]\n", + "Report : 1.401e-06 [ 0.00 %]\n", + "Balance : 6.28e-07 [ 0.00 %]\n", + "Adjust : 0.667687 [ 45.12 %]\n", + "Total : 1.47992 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.8641e-03 sec\n", + "--- Collate = 6.8638e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.478206e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.372347e-02 > 2.000000e-03 [41581]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41581/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.082] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000869642 [ 0.07 %]\n", + "Velocity : 0.00440821 [ 0.33 %]\n", + "Force : 0.505186 [ 37.76 %]\n", + "Coefs : 0.182149 [ 13.61 %]\n", + "Output : 0.00891475 [ 0.67 %]\n", + "Levels : 0.000396024 [ 0.03 %]\n", + "Report : 1.237e-06 [ 0.00 %]\n", + "Balance : 8.04e-07 [ 0.00 %]\n", + "Adjust : 0.635509 [ 47.50 %]\n", + "Total : 1.33787 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.7954e-03 sec\n", + "--- Collate = 5.9091e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.372838e-02 > 2.000000e-03 [41581]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41581/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.084] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0011925 [ 0.09 %]\n", + "Velocity : 0.0065488 [ 0.47 %]\n", + "Force : 0.503325 [ 36.04 %]\n", + "Coefs : 0.186242 [ 13.34 %]\n", + "Output : 0.0156314 [ 1.12 %]\n", + "Levels : 0.000542598 [ 0.04 %]\n", + "Report : 1.238e-06 [ 0.00 %]\n", + "Balance : 4e-07 [ 0.00 %]\n", + "Adjust : 0.682459 [ 48.87 %]\n", + "Total : 1.39652 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.7374e-03 sec\n", + "--- Collate = 6.6693e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.116282e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.373473e-02 > 2.000000e-03 [41585]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41585/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.086] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00172323 [ 0.13 %]\n", + "Velocity : 0.0087316 [ 0.65 %]\n", + "Force : 0.490088 [ 36.66 %]\n", + "Coefs : 0.171911 [ 12.86 %]\n", + "Output : 0.0195379 [ 1.46 %]\n", + "Levels : 0.000532331 [ 0.04 %]\n", + "Report : 1.258e-06 [ 0.00 %]\n", + "Balance : 6.66e-07 [ 0.00 %]\n", + "Adjust : 0.643737 [ 48.15 %]\n", + "Total : 1.3369 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6363e-03 sec\n", + "--- Collate = 7.3802e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.174828e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.374028e-02 > 2.000000e-03 [41601]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41601/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.088] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00193016 [ 0.14 %]\n", + "Velocity : 0.00927367 [ 0.66 %]\n", + "Force : 0.505292 [ 36.17 %]\n", + "Coefs : 0.181775 [ 13.01 %]\n", + "Output : 0.0208821 [ 1.49 %]\n", + "Levels : 0.00046924 [ 0.03 %]\n", + "Report : 1.107e-06 [ 0.00 %]\n", + "Balance : 5.93e-07 [ 0.00 %]\n", + "Adjust : 0.676596 [ 48.44 %]\n", + "Total : 1.3969 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6926e-03 sec\n", + "--- Collate = 6.8125e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.753486e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.374358e-02 > 2.000000e-03 [41603]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41603/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.09] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0018214 [ 0.14 %]\n", + "Velocity : 0.00835224 [ 0.64 %]\n", + "Force : 0.467292 [ 35.86 %]\n", + "Coefs : 0.167633 [ 12.86 %]\n", + "Output : 0.019714 [ 1.51 %]\n", + "Levels : 0.000524767 [ 0.04 %]\n", + "Report : 9.79e-07 [ 0.00 %]\n", + "Balance : 4.73e-07 [ 0.00 %]\n", + "Adjust : 0.637307 [ 48.90 %]\n", + "Total : 1.30327 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 8.4403e-03 sec\n", + "--- Collate = 6.8575e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.373329e-02 > 2.000000e-03 [41605]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41605/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.092] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00182504 [ 0.13 %]\n", + "Velocity : 0.00847869 [ 0.62 %]\n", + "Force : 0.484035 [ 35.48 %]\n", + "Coefs : 0.175143 [ 12.84 %]\n", + "Output : 0.020397 [ 1.50 %]\n", + "Levels : 0.000572616 [ 0.04 %]\n", + "Report : 1.224e-06 [ 0.00 %]\n", + "Balance : 4.65e-07 [ 0.00 %]\n", + "Adjust : 0.673038 [ 49.34 %]\n", + "Total : 1.36415 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.8225e-03 sec\n", + "--- Collate = 6.1964e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.372027e-02 > 2.000000e-03 [41607]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41607/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.094] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00173082 [ 0.13 %]\n", + "Velocity : 0.00878245 [ 0.65 %]\n", + "Force : 0.491123 [ 36.15 %]\n", + "Coefs : 0.178538 [ 13.14 %]\n", + "Output : 0.0203855 [ 1.50 %]\n", + "Levels : 0.000465853 [ 0.03 %]\n", + "Report : 1.164e-06 [ 0.00 %]\n", + "Balance : 4.68e-07 [ 0.00 %]\n", + "Adjust : 0.656833 [ 48.35 %]\n", + "Total : 1.35851 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.7561e-03 sec\n", + "--- Collate = 7.5298e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.371402e-02 > 2.000000e-03 [41622]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41622/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.096] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00174481 [ 0.13 %]\n", + "Velocity : 0.00839388 [ 0.62 %]\n", + "Force : 0.486809 [ 36.14 %]\n", + "Coefs : 0.173038 [ 12.84 %]\n", + "Output : 0.0205676 [ 1.53 %]\n", + "Levels : 0.000556687 [ 0.04 %]\n", + "Report : 1.063e-06 [ 0.00 %]\n", + "Balance : 6.6e-07 [ 0.00 %]\n", + "Adjust : 0.655444 [ 48.65 %]\n", + "Total : 1.34718 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.1%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.7214e-03 sec\n", + "--- Collate = 9.7152e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.370866e-02 > 2.000000e-03 [41612]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41612/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.098] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00189995 [ 0.14 %]\n", + "Velocity : 0.00860863 [ 0.64 %]\n", + "Force : 0.486148 [ 36.24 %]\n", + "Coefs : 0.174135 [ 12.98 %]\n", + "Output : 0.0209255 [ 1.56 %]\n", + "Levels : 0.000500356 [ 0.04 %]\n", + "Report : 1.09e-06 [ 0.00 %]\n", + "Balance : 4.69e-07 [ 0.00 %]\n", + "Adjust : 0.648554 [ 48.35 %]\n", + "Total : 1.34143 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.8834e-03 sec\n", + "--- Collate = 6.6898e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.370060e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.370824e-02 > 2.000000e-03 [41583]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41583/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.1] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00194157 [ 0.13 %]\n", + "Velocity : 0.00848528 [ 0.58 %]\n", + "Force : 0.491937 [ 33.58 %]\n", + "Coefs : 0.174443 [ 11.91 %]\n", + "Output : 0.128661 [ 8.78 %]\n", + "Levels : 0.000604608 [ 0.04 %]\n", + "Report : 1.263e-06 [ 0.00 %]\n", + "Balance : 5.59e-07 [ 0.00 %]\n", + "Adjust : 0.658299 [ 44.93 %]\n", + "Total : 1.46504 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.4429e-03 sec\n", + "--- Collate = 7.2690e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.366323e-02 > 2.000000e-03 [41577]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41576/60000\n", + " Component | high: 1/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.102] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00184802 [ 0.14 %]\n", + "Velocity : 0.00889001 [ 0.65 %]\n", + "Force : 0.495521 [ 36.44 %]\n", + "Coefs : 0.174665 [ 12.85 %]\n", + "Output : 0.0203016 [ 1.49 %]\n", + "Levels : 0.000585235 [ 0.04 %]\n", + "Report : 1.155e-06 [ 0.00 %]\n", + "Balance : 5.35e-07 [ 0.00 %]\n", + "Adjust : 0.657239 [ 48.34 %]\n", + "Total : 1.35972 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.1%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.9055e-03 sec\n", + "--- Collate = 6.6930e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.364779e-02 > 2.000000e-03 [41587]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41587/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.104] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00188811 [ 0.14 %]\n", + "Velocity : 0.00846609 [ 0.63 %]\n", + "Force : 0.492777 [ 36.52 %]\n", + "Coefs : 0.175697 [ 13.02 %]\n", + "Output : 0.0202528 [ 1.50 %]\n", + "Levels : 0.000527396 [ 0.04 %]\n", + "Report : 1.21e-06 [ 0.00 %]\n", + "Balance : 7.16e-07 [ 0.00 %]\n", + "Adjust : 0.648879 [ 48.09 %]\n", + "Total : 1.34919 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.8%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.4098e-03 sec\n", + "--- Collate = 5.6493e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.364578e-02 > 2.000000e-03 [41584]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41584/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.106] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00191817 [ 0.14 %]\n", + "Velocity : 0.00902564 [ 0.66 %]\n", + "Force : 0.491872 [ 36.13 %]\n", + "Coefs : 0.176999 [ 13.00 %]\n", + "Output : 0.0197352 [ 1.45 %]\n", + "Levels : 0.000564737 [ 0.04 %]\n", + "Report : 1.109e-06 [ 0.00 %]\n", + "Balance : 5.04e-07 [ 0.00 %]\n", + "Adjust : 0.660584 [ 48.52 %]\n", + "Total : 1.36136 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.4252e-03 sec\n", + "--- Collate = 7.5920e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.529040e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.364395e-02 > 2.000000e-03 [41574]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41574/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.108] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00186492 [ 0.14 %]\n", + "Velocity : 0.00871229 [ 0.65 %]\n", + "Force : 0.494971 [ 36.88 %]\n", + "Coefs : 0.172913 [ 12.88 %]\n", + "Output : 0.0198401 [ 1.48 %]\n", + "Levels : 0.000575613 [ 0.04 %]\n", + "Report : 1.192e-06 [ 0.00 %]\n", + "Balance : 4.39e-07 [ 0.00 %]\n", + "Adjust : 0.642533 [ 47.88 %]\n", + "Total : 1.34209 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6700e-03 sec\n", + "--- Collate = 5.5575e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.977585e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.364370e-02 > 2.000000e-03 [41583]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41583/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.11] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00185607 [ 0.14 %]\n", + "Velocity : 0.00872914 [ 0.64 %]\n", + "Force : 0.494383 [ 36.30 %]\n", + "Coefs : 0.179965 [ 13.21 %]\n", + "Output : 0.0200593 [ 1.47 %]\n", + "Levels : 0.000473036 [ 0.03 %]\n", + "Report : 1.026e-06 [ 0.00 %]\n", + "Balance : 4.05e-07 [ 0.00 %]\n", + "Adjust : 0.655883 [ 48.15 %]\n", + "Total : 1.36203 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.9500e-03 sec\n", + "--- Collate = 6.1691e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.980614e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.364409e-02 > 2.000000e-03 [41596]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41596/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.112] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00173147 [ 0.13 %]\n", + "Velocity : 0.00828586 [ 0.61 %]\n", + "Force : 0.48913 [ 36.29 %]\n", + "Coefs : 0.174131 [ 12.92 %]\n", + "Output : 0.019728 [ 1.46 %]\n", + "Levels : 0.000537536 [ 0.04 %]\n", + "Report : 1.159e-06 [ 0.00 %]\n", + "Balance : 5.61e-07 [ 0.00 %]\n", + "Adjust : 0.653548 [ 48.49 %]\n", + "Total : 1.34776 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.8422e-03 sec\n", + "--- Collate = 7.9466e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.366626e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.363193e-02 > 2.000000e-03 [41565]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41565/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.114] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0018063 [ 0.13 %]\n", + "Velocity : 0.00874753 [ 0.63 %]\n", + "Force : 0.498183 [ 35.96 %]\n", + "Coefs : 0.178917 [ 12.92 %]\n", + "Output : 0.0208458 [ 1.50 %]\n", + "Levels : 0.00888777 [ 0.64 %]\n", + "Report : 1.239e-06 [ 0.00 %]\n", + "Balance : 5.32e-07 [ 0.00 %]\n", + "Adjust : 0.667234 [ 48.16 %]\n", + "Total : 1.38532 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.5975e-03 sec\n", + "--- Collate = 5.7740e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.422104e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.362393e-02 > 2.000000e-03 [41585]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41585/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.116] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00186529 [ 0.14 %]\n", + "Velocity : 0.00841399 [ 0.63 %]\n", + "Force : 0.49185 [ 36.64 %]\n", + "Coefs : 0.173716 [ 12.94 %]\n", + "Output : 0.0200442 [ 1.49 %]\n", + "Levels : 0.000488128 [ 0.04 %]\n", + "Report : 1.51e-06 [ 0.00 %]\n", + "Balance : 6.47e-07 [ 0.00 %]\n", + "Adjust : 0.645273 [ 48.07 %]\n", + "Total : 1.34229 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.3%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 8.1090e-03 sec\n", + "--- Collate = 7.9099e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.362508e-02 > 2.000000e-03 [41585]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41585/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.118] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00184844 [ 0.14 %]\n", + "Velocity : 0.0087912 [ 0.66 %]\n", + "Force : 0.483049 [ 36.18 %]\n", + "Coefs : 0.173302 [ 12.98 %]\n", + "Output : 0.0196551 [ 1.47 %]\n", + "Levels : 0.000530716 [ 0.04 %]\n", + "Report : 1.12e-06 [ 0.00 %]\n", + "Balance : 4.21e-07 [ 0.00 %]\n", + "Adjust : 0.647141 [ 48.48 %]\n", + "Total : 1.33495 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.8920e-03 sec\n", + "--- Collate = 6.4434e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.663195e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.362150e-02 > 2.000000e-03 [41584]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41584/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.12] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00181854 [ 0.12 %]\n", + "Velocity : 0.00855479 [ 0.59 %]\n", + "Force : 0.492392 [ 33.79 %]\n", + "Coefs : 0.17356 [ 11.91 %]\n", + "Output : 0.130394 [ 8.95 %]\n", + "Levels : 0.000529501 [ 0.04 %]\n", + "Report : 1.158e-06 [ 0.00 %]\n", + "Balance : 4.98e-07 [ 0.00 %]\n", + "Adjust : 0.649398 [ 44.56 %]\n", + "Total : 1.45729 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.9099e-03 sec\n", + "--- Collate = 7.0568e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.357849e-06 < 7.812500e-06 [6]\n", + "--- Max DT=2.361816e-02 > 2.000000e-03 [41587]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 6/20000\n", + " Component | high: 41587/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.122] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00191536 [ 0.14 %]\n", + "Velocity : 0.00882674 [ 0.64 %]\n", + "Force : 0.505479 [ 36.50 %]\n", + "Coefs : 0.18088 [ 13.06 %]\n", + "Output : 0.0276394 [ 2.00 %]\n", + "Levels : 0.00048619 [ 0.04 %]\n", + "Report : 1.084e-06 [ 0.00 %]\n", + "Balance : 8.51e-07 [ 0.00 %]\n", + "Adjust : 0.659031 [ 47.59 %]\n", + "Total : 1.38493 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.4684e-03 sec\n", + "--- Collate = 6.8053e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.362152e-02 > 2.000000e-03 [41589]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41589/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.124] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00110495 [ 0.08 %]\n", + "Velocity : 0.00513166 [ 0.38 %]\n", + "Force : 0.510311 [ 37.47 %]\n", + "Coefs : 0.183588 [ 13.48 %]\n", + "Output : 0.0101584 [ 0.75 %]\n", + "Levels : 0.000394531 [ 0.03 %]\n", + "Report : 1.277e-06 [ 0.00 %]\n", + "Balance : 5.68e-07 [ 0.00 %]\n", + "Adjust : 0.650651 [ 47.78 %]\n", + "Total : 1.36181 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.2462e-03 sec\n", + "--- Collate = 5.9367e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.362468e-02 > 2.000000e-03 [41605]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41605/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.126] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000788044 [ 0.06 %]\n", + "Velocity : 0.00381539 [ 0.30 %]\n", + "Force : 0.48213 [ 37.33 %]\n", + "Coefs : 0.175489 [ 13.59 %]\n", + "Output : 0.00938819 [ 0.73 %]\n", + "Levels : 0.000343109 [ 0.03 %]\n", + "Report : 1.028e-06 [ 0.00 %]\n", + "Balance : 5.39e-07 [ 0.00 %]\n", + "Adjust : 0.619188 [ 47.94 %]\n", + "Total : 1.29159 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 1.2977e-02 sec\n", + "--- Collate = 9.6381e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.953596e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.362123e-02 > 2.000000e-03 [41611]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41611/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.128] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000844616 [ 0.06 %]\n", + "Velocity : 0.0047616 [ 0.34 %]\n", + "Force : 0.508799 [ 36.77 %]\n", + "Coefs : 0.185881 [ 13.43 %]\n", + "Output : 0.0113391 [ 0.82 %]\n", + "Levels : 0.000469975 [ 0.03 %]\n", + "Report : 1.45e-06 [ 0.00 %]\n", + "Balance : 7.15e-07 [ 0.00 %]\n", + "Adjust : 0.671134 [ 48.50 %]\n", + "Total : 1.38372 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.2395e-03 sec\n", + "--- Collate = 5.7644e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.526454e-06 < 7.812500e-06 [4]\n", + "--- Max DT=2.362073e-02 > 2.000000e-03 [41625]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 4/20000\n", + " Component | high: 41625/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.13] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00127356 [ 0.09 %]\n", + "Velocity : 0.00610805 [ 0.45 %]\n", + "Force : 0.512095 [ 37.61 %]\n", + "Coefs : 0.188139 [ 13.82 %]\n", + "Output : 0.0138222 [ 1.02 %]\n", + "Levels : 0.000526788 [ 0.04 %]\n", + "Report : 1.123e-06 [ 0.00 %]\n", + "Balance : 5.12e-07 [ 0.00 %]\n", + "Adjust : 0.639152 [ 46.94 %]\n", + "Total : 1.36166 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.2186e-03 sec\n", + "--- Collate = 6.0013e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.361620e-02 > 2.000000e-03 [41644]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41644/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.132] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0019682 [ 0.14 %]\n", + "Velocity : 0.00911528 [ 0.65 %]\n", + "Force : 0.509832 [ 36.31 %]\n", + "Coefs : 0.181342 [ 12.92 %]\n", + "Output : 0.0214587 [ 1.53 %]\n", + "Levels : 0.000566054 [ 0.04 %]\n", + "Report : 1.238e-06 [ 0.00 %]\n", + "Balance : 6.15e-07 [ 0.00 %]\n", + "Adjust : 0.679035 [ 48.36 %]\n", + "Total : 1.404 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.8004e-03 sec\n", + "--- Collate = 5.7142e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.259707e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.362026e-02 > 2.000000e-03 [41633]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41633/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.134] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00187736 [ 0.14 %]\n", + "Velocity : 0.00838238 [ 0.63 %]\n", + "Force : 0.486006 [ 36.43 %]\n", + "Coefs : 0.173111 [ 12.97 %]\n", + "Output : 0.0195755 [ 1.47 %]\n", + "Levels : 0.000452841 [ 0.03 %]\n", + "Report : 9.73e-07 [ 0.00 %]\n", + "Balance : 4.5e-07 [ 0.00 %]\n", + "Adjust : 0.644133 [ 48.28 %]\n", + "Total : 1.33421 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.3975e-03 sec\n", + "--- Collate = 5.8371e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.676296e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.362313e-02 > 2.000000e-03 [41651]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41651/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.136] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00184318 [ 0.13 %]\n", + "Velocity : 0.00892774 [ 0.64 %]\n", + "Force : 0.500873 [ 36.06 %]\n", + "Coefs : 0.180009 [ 12.96 %]\n", + "Output : 0.0207766 [ 1.50 %]\n", + "Levels : 0.00839578 [ 0.60 %]\n", + "Report : 1.172e-06 [ 0.00 %]\n", + "Balance : 5.35e-07 [ 0.00 %]\n", + "Adjust : 0.667407 [ 48.05 %]\n", + "Total : 1.38892 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.6%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.7989e-03 sec\n", + "--- Collate = 6.2005e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.362359e-02 > 2.000000e-03 [41674]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41674/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.138] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00200782 [ 0.15 %]\n", + "Velocity : 0.00842176 [ 0.63 %]\n", + "Force : 0.492393 [ 36.85 %]\n", + "Coefs : 0.172424 [ 12.90 %]\n", + "Output : 0.0197888 [ 1.48 %]\n", + "Levels : 0.000530909 [ 0.04 %]\n", + "Report : 1.271e-06 [ 0.00 %]\n", + "Balance : 6.87e-07 [ 0.00 %]\n", + "Adjust : 0.639996 [ 47.90 %]\n", + "Total : 1.33619 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.4414e-03 sec\n", + "--- Collate = 5.9441e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.362384e-02 > 2.000000e-03 [41664]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41664/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.14] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00195575 [ 0.13 %]\n", + "Velocity : 0.00882915 [ 0.60 %]\n", + "Force : 0.498731 [ 33.61 %]\n", + "Coefs : 0.177555 [ 11.97 %]\n", + "Output : 0.136361 [ 9.19 %]\n", + "Levels : 0.000595902 [ 0.04 %]\n", + "Report : 1.145e-06 [ 0.00 %]\n", + "Balance : 6.41e-07 [ 0.00 %]\n", + "Adjust : 0.659028 [ 44.42 %]\n", + "Total : 1.48369 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 8.3172e-03 sec\n", + "--- Collate = 7.5576e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.072751e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.362226e-02 > 2.000000e-03 [41660]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41660/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.142] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00196325 [ 0.15 %]\n", + "Velocity : 0.00897927 [ 0.66 %]\n", + "Force : 0.493679 [ 36.55 %]\n", + "Coefs : 0.175307 [ 12.98 %]\n", + "Output : 0.020137 [ 1.49 %]\n", + "Levels : 0.00053725 [ 0.04 %]\n", + "Report : 1.116e-06 [ 0.00 %]\n", + "Balance : 7.2e-07 [ 0.00 %]\n", + "Adjust : 0.649512 [ 48.08 %]\n", + "Total : 1.35082 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.4828e-03 sec\n", + "--- Collate = 6.2447e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.259585e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.361675e-02 > 2.000000e-03 [41656]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41656/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.144] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0018519 [ 0.14 %]\n", + "Velocity : 0.00849486 [ 0.63 %]\n", + "Force : 0.491126 [ 36.19 %]\n", + "Coefs : 0.176431 [ 13.00 %]\n", + "Output : 0.0201088 [ 1.48 %]\n", + "Levels : 0.000540306 [ 0.04 %]\n", + "Report : 1.281e-06 [ 0.00 %]\n", + "Balance : 4.72e-07 [ 0.00 %]\n", + "Adjust : 0.657969 [ 48.48 %]\n", + "Total : 1.35723 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.8608e-03 sec\n", + "--- Collate = 6.3994e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.361274e-02 > 2.000000e-03 [41662]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41662/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.146] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00197734 [ 0.14 %]\n", + "Velocity : 0.00901847 [ 0.65 %]\n", + "Force : 0.504539 [ 36.58 %]\n", + "Coefs : 0.177593 [ 12.88 %]\n", + "Output : 0.0206204 [ 1.50 %]\n", + "Levels : 0.000558741 [ 0.04 %]\n", + "Report : 1.484e-06 [ 0.00 %]\n", + "Balance : 4.64e-07 [ 0.00 %]\n", + "Adjust : 0.664102 [ 48.15 %]\n", + "Total : 1.37911 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.4%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.4364e-03 sec\n", + "--- Collate = 5.5599e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.361436e-02 > 2.000000e-03 [41661]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41660/60000\n", + " Component | high: 1/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.148] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00181895 [ 0.14 %]\n", + "Velocity : 0.0086878 [ 0.65 %]\n", + "Force : 0.490516 [ 36.53 %]\n", + "Coefs : 0.173421 [ 12.92 %]\n", + "Output : 0.0199859 [ 1.49 %]\n", + "Levels : 0.000560162 [ 0.04 %]\n", + "Report : 1.064e-06 [ 0.00 %]\n", + "Balance : 4.87e-07 [ 0.00 %]\n", + "Adjust : 0.646902 [ 48.18 %]\n", + "Total : 1.34261 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.9989e-03 sec\n", + "--- Collate = 6.5668e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.747072e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.361933e-02 > 2.000000e-03 [41670]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41670/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.15] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00179962 [ 0.13 %]\n", + "Velocity : 0.00892372 [ 0.65 %]\n", + "Force : 0.498803 [ 36.07 %]\n", + "Coefs : 0.178547 [ 12.91 %]\n", + "Output : 0.0208469 [ 1.51 %]\n", + "Levels : 0.000553838 [ 0.04 %]\n", + "Report : 1.355e-06 [ 0.00 %]\n", + "Balance : 5.62e-07 [ 0.00 %]\n", + "Adjust : 0.67261 [ 48.64 %]\n", + "Total : 1.38278 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.7909e-03 sec\n", + "--- Collate = 6.1846e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.361953e-02 > 2.000000e-03 [41668]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41668/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.152] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00182929 [ 0.12 %]\n", + "Velocity : 0.00976613 [ 0.66 %]\n", + "Force : 0.53908 [ 36.61 %]\n", + "Coefs : 0.191392 [ 13.00 %]\n", + "Output : 0.0227564 [ 1.55 %]\n", + "Levels : 0.000596702 [ 0.04 %]\n", + "Report : 1.631e-06 [ 0.00 %]\n", + "Balance : 4.47e-07 [ 0.00 %]\n", + "Adjust : 0.706507 [ 47.98 %]\n", + "Total : 1.47265 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 8.0167e-03 sec\n", + "--- Collate = 5.0369e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.361923e-02 > 2.000000e-03 [41659]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41659/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.154] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00196042 [ 0.14 %]\n", + "Velocity : 0.00942044 [ 0.66 %]\n", + "Force : 0.520352 [ 36.44 %]\n", + "Coefs : 0.184313 [ 12.91 %]\n", + "Output : 0.0215474 [ 1.51 %]\n", + "Levels : 0.00054819 [ 0.04 %]\n", + "Report : 1.204e-06 [ 0.00 %]\n", + "Balance : 4.44e-07 [ 0.00 %]\n", + "Adjust : 0.689252 [ 48.26 %]\n", + "Total : 1.42813 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.9320e-03 sec\n", + "--- Collate = 8.3817e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.344458e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.361602e-02 > 2.000000e-03 [41648]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41648/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.156] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00199188 [ 0.15 %]\n", + "Velocity : 0.00901762 [ 0.66 %]\n", + "Force : 0.499906 [ 36.72 %]\n", + "Coefs : 0.17819 [ 13.09 %]\n", + "Output : 0.0202092 [ 1.48 %]\n", + "Levels : 0.000489129 [ 0.04 %]\n", + "Report : 9.87e-07 [ 0.00 %]\n", + "Balance : 5.58e-07 [ 0.00 %]\n", + "Adjust : 0.651093 [ 47.82 %]\n", + "Total : 1.36158 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.2659e-03 sec\n", + "--- Collate = 8.7271e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.389566e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.361569e-02 > 2.000000e-03 [41654]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41654/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.158] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00185733 [ 0.13 %]\n", + "Velocity : 0.00910543 [ 0.64 %]\n", + "Force : 0.518651 [ 36.55 %]\n", + "Coefs : 0.184346 [ 12.99 %]\n", + "Output : 0.0207312 [ 1.46 %]\n", + "Levels : 0.00056828 [ 0.04 %]\n", + "Report : 1.286e-06 [ 0.00 %]\n", + "Balance : 4.2e-07 [ 0.00 %]\n", + "Adjust : 0.683017 [ 48.13 %]\n", + "Total : 1.41897 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.8699e-03 sec\n", + "--- Collate = 5.8082e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.358438e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.361653e-02 > 2.000000e-03 [41675]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41675/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.16] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00195908 [ 0.13 %]\n", + "Velocity : 0.00865178 [ 0.59 %]\n", + "Force : 0.501846 [ 34.01 %]\n", + "Coefs : 0.174757 [ 11.84 %]\n", + "Output : 0.137696 [ 9.33 %]\n", + "Levels : 0.000593797 [ 0.04 %]\n", + "Report : 1.051e-06 [ 0.00 %]\n", + "Balance : 4.33e-07 [ 0.00 %]\n", + "Adjust : 0.649389 [ 44.01 %]\n", + "Total : 1.47557 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.5%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.8388e-03 sec\n", + "--- Collate = 6.5462e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.232701e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.361950e-02 > 2.000000e-03 [41677]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41677/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.162] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00187736 [ 0.13 %]\n", + "Velocity : 0.00939913 [ 0.65 %]\n", + "Force : 0.522073 [ 36.30 %]\n", + "Coefs : 0.18623 [ 12.95 %]\n", + "Output : 0.0209764 [ 1.46 %]\n", + "Levels : 0.000522651 [ 0.04 %]\n", + "Report : 1.438e-06 [ 0.00 %]\n", + "Balance : 4.84e-07 [ 0.00 %]\n", + "Adjust : 0.696158 [ 48.41 %]\n", + "Total : 1.43803 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 8.8%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 8.5977e-03 sec\n", + "--- Collate = 6.4488e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.362578e-02 > 2.000000e-03 [41665]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41665/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.164] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00189078 [ 0.13 %]\n", + "Velocity : 0.00933291 [ 0.64 %]\n", + "Force : 0.52842 [ 36.06 %]\n", + "Coefs : 0.192298 [ 13.12 %]\n", + "Output : 0.0205011 [ 1.40 %]\n", + "Levels : 0.000603482 [ 0.04 %]\n", + "Report : 1.678e-06 [ 0.00 %]\n", + "Balance : 4.67e-07 [ 0.00 %]\n", + "Adjust : 0.711649 [ 48.56 %]\n", + "Total : 1.46546 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.2220e-03 sec\n", + "--- Collate = 8.2518e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.409102e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.363225e-02 > 2.000000e-03 [41669]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41669/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.166] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00193487 [ 0.14 %]\n", + "Velocity : 0.00897793 [ 0.65 %]\n", + "Force : 0.503258 [ 36.36 %]\n", + "Coefs : 0.181183 [ 13.09 %]\n", + "Output : 0.0207118 [ 1.50 %]\n", + "Levels : 0.000579221 [ 0.04 %]\n", + "Report : 1.325e-06 [ 0.00 %]\n", + "Balance : 5.2e-07 [ 0.00 %]\n", + "Adjust : 0.666886 [ 48.18 %]\n", + "Total : 1.38427 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7427e-03 sec\n", + "--- Collate = 7.9853e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.363526e-02 > 2.000000e-03 [41666]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41666/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.168] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00184969 [ 0.14 %]\n", + "Velocity : 0.00821124 [ 0.61 %]\n", + "Force : 0.484889 [ 36.30 %]\n", + "Coefs : 0.171954 [ 12.87 %]\n", + "Output : 0.0197936 [ 1.48 %]\n", + "Levels : 0.000493448 [ 0.04 %]\n", + "Report : 1.083e-06 [ 0.00 %]\n", + "Balance : 4.8e-07 [ 0.00 %]\n", + "Adjust : 0.647831 [ 48.50 %]\n", + "Total : 1.33575 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.0598e-03 sec\n", + "--- Collate = 9.3941e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.548855e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.363344e-02 > 2.000000e-03 [41657]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41657/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.17] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00184992 [ 0.13 %]\n", + "Velocity : 0.00909802 [ 0.66 %]\n", + "Force : 0.49726 [ 35.95 %]\n", + "Coefs : 0.180085 [ 13.02 %]\n", + "Output : 0.0206456 [ 1.49 %]\n", + "Levels : 0.000546546 [ 0.04 %]\n", + "Report : 1.397e-06 [ 0.00 %]\n", + "Balance : 6.36e-07 [ 0.00 %]\n", + "Adjust : 0.672757 [ 48.64 %]\n", + "Total : 1.38302 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.5223e-03 sec\n", + "--- Collate = 6.6700e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.363244e-02 > 2.000000e-03 [41652]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41652/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.172] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00199229 [ 0.15 %]\n", + "Velocity : 0.00898038 [ 0.65 %]\n", + "Force : 0.506207 [ 36.85 %]\n", + "Coefs : 0.178984 [ 13.03 %]\n", + "Output : 0.0201589 [ 1.47 %]\n", + "Levels : 0.000475722 [ 0.03 %]\n", + "Report : 1.261e-06 [ 0.00 %]\n", + "Balance : 6.12e-07 [ 0.00 %]\n", + "Adjust : 0.656134 [ 47.76 %]\n", + "Total : 1.37368 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.4298e-03 sec\n", + "--- Collate = 1.0945e-04 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.362915e-02 > 2.000000e-03 [41641]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41641/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.174] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00193075 [ 0.14 %]\n", + "Velocity : 0.00930602 [ 0.66 %]\n", + "Force : 0.507378 [ 36.15 %]\n", + "Coefs : 0.181321 [ 12.92 %]\n", + "Output : 0.0211991 [ 1.51 %]\n", + "Levels : 0.000578313 [ 0.04 %]\n", + "Report : 1.317e-06 [ 0.00 %]\n", + "Balance : 5.36e-07 [ 0.00 %]\n", + "Adjust : 0.681016 [ 48.52 %]\n", + "Total : 1.40347 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.3159e-03 sec\n", + "--- Collate = 1.0517e-04 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.595472e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.362331e-02 > 2.000000e-03 [41629]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41629/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.176] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00201037 [ 0.14 %]\n", + "Velocity : 0.0092766 [ 0.64 %]\n", + "Force : 0.528345 [ 36.64 %]\n", + "Coefs : 0.184569 [ 12.80 %]\n", + "Output : 0.0216198 [ 1.50 %]\n", + "Levels : 0.000549565 [ 0.04 %]\n", + "Report : 1.278e-06 [ 0.00 %]\n", + "Balance : 4.37e-07 [ 0.00 %]\n", + "Adjust : 0.694808 [ 48.19 %]\n", + "Total : 1.44191 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.7865e-03 sec\n", + "--- Collate = 7.2244e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.406556e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.362091e-02 > 2.000000e-03 [41600]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41600/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.178] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00192815 [ 0.14 %]\n", + "Velocity : 0.00903744 [ 0.66 %]\n", + "Force : 0.503407 [ 36.90 %]\n", + "Coefs : 0.176585 [ 12.94 %]\n", + "Output : 0.0200757 [ 1.47 %]\n", + "Levels : 0.000497654 [ 0.04 %]\n", + "Report : 1.306e-06 [ 0.00 %]\n", + "Balance : 4.88e-07 [ 0.00 %]\n", + "Adjust : 0.652138 [ 47.80 %]\n", + "Total : 1.36441 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.5608e-03 sec\n", + "--- Collate = 6.4844e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.959998e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.362136e-02 > 2.000000e-03 [41588]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41588/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.18] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00194464 [ 0.13 %]\n", + "Velocity : 0.00887288 [ 0.58 %]\n", + "Force : 0.517559 [ 33.80 %]\n", + "Coefs : 0.183654 [ 11.99 %]\n", + "Output : 0.136009 [ 8.88 %]\n", + "Levels : 0.000631805 [ 0.04 %]\n", + "Report : 1.213e-06 [ 0.00 %]\n", + "Balance : 5.95e-07 [ 0.00 %]\n", + "Adjust : 0.681817 [ 44.53 %]\n", + "Total : 1.5312 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.8%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 8.0944e-03 sec\n", + "--- Collate = 6.1472e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.194484e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.362188e-02 > 2.000000e-03 [41600]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41599/60000\n", + " Component | high: 1/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.182] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00188426 [ 0.14 %]\n", + "Velocity : 0.00871961 [ 0.65 %]\n", + "Force : 0.491411 [ 36.51 %]\n", + "Coefs : 0.175878 [ 13.07 %]\n", + "Output : 0.0199043 [ 1.48 %]\n", + "Levels : 0.000564206 [ 0.04 %]\n", + "Report : 1.006e-06 [ 0.00 %]\n", + "Balance : 5.91e-07 [ 0.00 %]\n", + "Adjust : 0.647041 [ 48.07 %]\n", + "Total : 1.3461 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.9354e-03 sec\n", + "--- Collate = 5.8468e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.418695e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.361974e-02 > 2.000000e-03 [41605]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41605/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.184] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00194226 [ 0.14 %]\n", + "Velocity : 0.00856842 [ 0.62 %]\n", + "Force : 0.499993 [ 36.41 %]\n", + "Coefs : 0.179067 [ 13.04 %]\n", + "Output : 0.0199203 [ 1.45 %]\n", + "Levels : 0.000501003 [ 0.04 %]\n", + "Report : 1.188e-06 [ 0.00 %]\n", + "Balance : 4.23e-07 [ 0.00 %]\n", + "Adjust : 0.662466 [ 48.24 %]\n", + "Total : 1.37318 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.8622e-03 sec\n", + "--- Collate = 6.2718e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.361396e-02 > 2.000000e-03 [41600]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41600/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.186] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00188376 [ 0.14 %]\n", + "Velocity : 0.00845955 [ 0.63 %]\n", + "Force : 0.490321 [ 36.43 %]\n", + "Coefs : 0.173985 [ 12.93 %]\n", + "Output : 0.0196349 [ 1.46 %]\n", + "Levels : 0.000565644 [ 0.04 %]\n", + "Report : 1.15e-06 [ 0.00 %]\n", + "Balance : 4.48e-07 [ 0.00 %]\n", + "Adjust : 0.650456 [ 48.32 %]\n", + "Total : 1.34606 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.8%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.8588e-03 sec\n", + "--- Collate = 6.1255e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.360804e-02 > 2.000000e-03 [41585]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41585/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.188] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00194083 [ 0.14 %]\n", + "Velocity : 0.00868155 [ 0.62 %]\n", + "Force : 0.506381 [ 36.31 %]\n", + "Coefs : 0.179545 [ 12.87 %]\n", + "Output : 0.020768 [ 1.49 %]\n", + "Levels : 0.000677372 [ 0.05 %]\n", + "Report : 1.037e-06 [ 0.00 %]\n", + "Balance : 4.54e-07 [ 0.00 %]\n", + "Adjust : 0.675974 [ 48.46 %]\n", + "Total : 1.39479 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.1607e-03 sec\n", + "--- Collate = 6.8887e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.811020e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.360396e-02 > 2.000000e-03 [41559]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41559/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.19] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00192515 [ 0.14 %]\n", + "Velocity : 0.00875297 [ 0.65 %]\n", + "Force : 0.495362 [ 36.57 %]\n", + "Coefs : 0.174189 [ 12.86 %]\n", + "Output : 0.0202254 [ 1.49 %]\n", + "Levels : 0.000537035 [ 0.04 %]\n", + "Report : 1.057e-06 [ 0.00 %]\n", + "Balance : 6.11e-07 [ 0.00 %]\n", + "Adjust : 0.652914 [ 48.20 %]\n", + "Total : 1.35462 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.8%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.1807e-03 sec\n", + "--- Collate = 7.4614e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.230559e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.359934e-02 > 2.000000e-03 [41551]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41551/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.192] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00193478 [ 0.14 %]\n", + "Velocity : 0.00850987 [ 0.62 %]\n", + "Force : 0.500895 [ 36.35 %]\n", + "Coefs : 0.177734 [ 12.90 %]\n", + "Output : 0.0203387 [ 1.48 %]\n", + "Levels : 0.000556947 [ 0.04 %]\n", + "Report : 1.168e-06 [ 0.00 %]\n", + "Balance : 4.86e-07 [ 0.00 %]\n", + "Adjust : 0.667418 [ 48.43 %]\n", + "Total : 1.37811 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.8546e-03 sec\n", + "--- Collate = 6.1700e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.206649e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.359378e-02 > 2.000000e-03 [41543]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41543/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.194] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00182112 [ 0.13 %]\n", + "Velocity : 0.00824241 [ 0.61 %]\n", + "Force : 0.494119 [ 36.56 %]\n", + "Coefs : 0.174392 [ 12.90 %]\n", + "Output : 0.0199121 [ 1.47 %]\n", + "Levels : 0.000584204 [ 0.04 %]\n", + "Report : 1.138e-06 [ 0.00 %]\n", + "Balance : 6.17e-07 [ 0.00 %]\n", + "Adjust : 0.65167 [ 48.22 %]\n", + "Total : 1.35149 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.3981e-03 sec\n", + "--- Collate = 7.4779e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.358657e-02 > 2.000000e-03 [41562]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41562/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.196] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00184157 [ 0.13 %]\n", + "Velocity : 0.00875801 [ 0.64 %]\n", + "Force : 0.496895 [ 36.15 %]\n", + "Coefs : 0.176951 [ 12.87 %]\n", + "Output : 0.0203656 [ 1.48 %]\n", + "Levels : 0.000533022 [ 0.04 %]\n", + "Report : 1.442e-06 [ 0.00 %]\n", + "Balance : 4.84e-07 [ 0.00 %]\n", + "Adjust : 0.668492 [ 48.63 %]\n", + "Total : 1.37457 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.8398e-03 sec\n", + "--- Collate = 8.9973e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.382722e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.358715e-02 > 2.000000e-03 [41569]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41569/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.198] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00195308 [ 0.14 %]\n", + "Velocity : 0.00898623 [ 0.66 %]\n", + "Force : 0.490134 [ 36.21 %]\n", + "Coefs : 0.175146 [ 12.94 %]\n", + "Output : 0.0201973 [ 1.49 %]\n", + "Levels : 0.000558236 [ 0.04 %]\n", + "Report : 1.697e-06 [ 0.00 %]\n", + "Balance : 6.76e-07 [ 0.00 %]\n", + "Adjust : 0.655903 [ 48.46 %]\n", + "Total : 1.35363 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.4420e-03 sec\n", + "--- Collate = 9.7776e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.639574e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.359063e-02 > 2.000000e-03 [41579]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41579/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.2] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00202217 [ 0.13 %]\n", + "Velocity : 0.00903901 [ 0.56 %]\n", + "Force : 0.504021 [ 31.28 %]\n", + "Coefs : 0.177834 [ 11.04 %]\n", + "Output : 0.25759 [ 15.99 %]\n", + "Levels : 0.000540198 [ 0.03 %]\n", + "Report : 1.409e-06 [ 0.00 %]\n", + "Balance : 5.59e-07 [ 0.00 %]\n", + "Adjust : 0.659627 [ 40.94 %]\n", + "Total : 1.61138 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.8187e-03 sec\n", + "--- Collate = 5.1645e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.359571e-02 > 2.000000e-03 [41586]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41586/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.202] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00193517 [ 0.14 %]\n", + "Velocity : 0.00935585 [ 0.67 %]\n", + "Force : 0.505515 [ 36.09 %]\n", + "Coefs : 0.18194 [ 12.99 %]\n", + "Output : 0.0280413 [ 2.00 %]\n", + "Levels : 0.000517878 [ 0.04 %]\n", + "Report : 9.75e-07 [ 0.00 %]\n", + "Balance : 5.3e-07 [ 0.00 %]\n", + "Adjust : 0.672787 [ 48.03 %]\n", + "Total : 1.40083 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.8391e-03 sec\n", + "--- Collate = 9.0301e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.294593e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.359341e-02 > 2.000000e-03 [41574]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41574/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.204] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000833011 [ 0.06 %]\n", + "Velocity : 0.00430414 [ 0.32 %]\n", + "Force : 0.514265 [ 37.77 %]\n", + "Coefs : 0.184971 [ 13.59 %]\n", + "Output : 0.00890223 [ 0.65 %]\n", + "Levels : 0.000479719 [ 0.04 %]\n", + "Report : 1.323e-06 [ 0.00 %]\n", + "Balance : 6.07e-07 [ 0.00 %]\n", + "Adjust : 0.647301 [ 47.54 %]\n", + "Total : 1.36149 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.1675e-03 sec\n", + "--- Collate = 6.5618e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.082705e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.359061e-02 > 2.000000e-03 [41587]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41587/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.206] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000849166 [ 0.06 %]\n", + "Velocity : 0.00419483 [ 0.31 %]\n", + "Force : 0.505734 [ 37.48 %]\n", + "Coefs : 0.183876 [ 13.63 %]\n", + "Output : 0.00915736 [ 0.68 %]\n", + "Levels : 0.000363584 [ 0.03 %]\n", + "Report : 1.47e-06 [ 0.00 %]\n", + "Balance : 6.1e-07 [ 0.00 %]\n", + "Adjust : 0.644572 [ 47.77 %]\n", + "Total : 1.34919 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.1837e-03 sec\n", + "--- Collate = 7.7701e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.358468e-02 > 2.000000e-03 [41574]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41574/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.208] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000780892 [ 0.06 %]\n", + "Velocity : 0.00371591 [ 0.28 %]\n", + "Force : 0.494011 [ 37.51 %]\n", + "Coefs : 0.179436 [ 13.62 %]\n", + "Output : 0.00863148 [ 0.66 %]\n", + "Levels : 0.000351669 [ 0.03 %]\n", + "Report : 1.305e-06 [ 0.00 %]\n", + "Balance : 4.88e-07 [ 0.00 %]\n", + "Adjust : 0.629724 [ 47.81 %]\n", + "Total : 1.31709 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.4%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 8.3620e-03 sec\n", + "--- Collate = 8.6331e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.783127e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.357891e-02 > 2.000000e-03 [41566]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41566/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.21] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000858503 [ 0.06 %]\n", + "Velocity : 0.00394737 [ 0.30 %]\n", + "Force : 0.497661 [ 37.39 %]\n", + "Coefs : 0.179791 [ 13.51 %]\n", + "Output : 0.00903296 [ 0.68 %]\n", + "Levels : 0.000327127 [ 0.02 %]\n", + "Report : 1.262e-06 [ 0.00 %]\n", + "Balance : 5.36e-07 [ 0.00 %]\n", + "Adjust : 0.63902 [ 48.01 %]\n", + "Total : 1.33108 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 8.2279e-03 sec\n", + "--- Collate = 6.2381e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.357237e-02 > 2.000000e-03 [41560]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41560/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.212] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00077702 [ 0.06 %]\n", + "Velocity : 0.00376384 [ 0.29 %]\n", + "Force : 0.494377 [ 37.54 %]\n", + "Coefs : 0.178949 [ 13.59 %]\n", + "Output : 0.00860704 [ 0.65 %]\n", + "Levels : 0.000322764 [ 0.02 %]\n", + "Report : 1.398e-06 [ 0.00 %]\n", + "Balance : 4.46e-07 [ 0.00 %]\n", + "Adjust : 0.629847 [ 47.82 %]\n", + "Total : 1.31709 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.3591e-03 sec\n", + "--- Collate = 7.9443e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.218881e-06 < 7.812500e-06 [4]\n", + "--- Max DT=2.356203e-02 > 2.000000e-03 [41557]\n", + "----------------------------------------------------------------------\n", + " Component | low: 1/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41557/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.214] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000910386 [ 0.07 %]\n", + "Velocity : 0.00431044 [ 0.32 %]\n", + "Force : 0.499335 [ 37.14 %]\n", + "Coefs : 0.182474 [ 13.57 %]\n", + "Output : 0.00982482 [ 0.73 %]\n", + "Levels : 0.000512688 [ 0.04 %]\n", + "Report : 1.158e-06 [ 0.00 %]\n", + "Balance : 5.9e-07 [ 0.00 %]\n", + "Adjust : 0.646454 [ 48.09 %]\n", + "Total : 1.3443 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.5324e-03 sec\n", + "--- Collate = 6.0322e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.356026e-02 > 2.000000e-03 [41561]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41561/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.216] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000835205 [ 0.06 %]\n", + "Velocity : 0.00374106 [ 0.29 %]\n", + "Force : 0.484441 [ 37.29 %]\n", + "Coefs : 0.177971 [ 13.70 %]\n", + "Output : 0.00858043 [ 0.66 %]\n", + "Levels : 0.000328064 [ 0.03 %]\n", + "Report : 1.027e-06 [ 0.00 %]\n", + "Balance : 5.08e-07 [ 0.00 %]\n", + "Adjust : 0.622819 [ 47.94 %]\n", + "Total : 1.29915 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.7592e-03 sec\n", + "--- Collate = 7.5030e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.381561e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.356926e-02 > 2.000000e-03 [41558]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41558/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.218] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000854728 [ 0.06 %]\n", + "Velocity : 0.00438269 [ 0.33 %]\n", + "Force : 0.498133 [ 37.21 %]\n", + "Coefs : 0.18305 [ 13.67 %]\n", + "Output : 0.00985477 [ 0.74 %]\n", + "Levels : 0.00033657 [ 0.03 %]\n", + "Report : 1.14e-06 [ 0.00 %]\n", + "Balance : 5.93e-07 [ 0.00 %]\n", + "Adjust : 0.64154 [ 47.93 %]\n", + "Total : 1.33861 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.8%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.6568e-03 sec\n", + "--- Collate = 6.2445e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.357667e-02 > 2.000000e-03 [41555]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41555/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.22] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000880467 [ 0.06 %]\n", + "Velocity : 0.00404427 [ 0.28 %]\n", + "Force : 0.510623 [ 35.21 %]\n", + "Coefs : 0.187214 [ 12.91 %]\n", + "Output : 0.0959782 [ 6.62 %]\n", + "Levels : 0.000331993 [ 0.02 %]\n", + "Report : 7.77e-07 [ 0.00 %]\n", + "Balance : 4.01e-07 [ 0.00 %]\n", + "Adjust : 0.650551 [ 44.86 %]\n", + "Total : 1.4501 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.6922e-03 sec\n", + "--- Collate = 9.6818e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.070917e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.358178e-02 > 2.000000e-03 [41549]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41549/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.222] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000952042 [ 0.07 %]\n", + "Velocity : 0.00438709 [ 0.33 %]\n", + "Force : 0.488484 [ 37.20 %]\n", + "Coefs : 0.179345 [ 13.66 %]\n", + "Output : 0.00917377 [ 0.70 %]\n", + "Levels : 0.000448714 [ 0.03 %]\n", + "Report : 1.486e-06 [ 0.00 %]\n", + "Balance : 7.47e-07 [ 0.00 %]\n", + "Adjust : 0.629862 [ 47.97 %]\n", + "Total : 1.31311 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6869e-03 sec\n", + "--- Collate = 6.1714e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.306027e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.358302e-02 > 2.000000e-03 [41564]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41564/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.224] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000862154 [ 0.07 %]\n", + "Velocity : 0.00432794 [ 0.33 %]\n", + "Force : 0.493407 [ 37.45 %]\n", + "Coefs : 0.179524 [ 13.63 %]\n", + "Output : 0.00863314 [ 0.66 %]\n", + "Levels : 0.000323789 [ 0.02 %]\n", + "Report : 1.094e-06 [ 0.00 %]\n", + "Balance : 6.32e-07 [ 0.00 %]\n", + "Adjust : 0.62985 [ 47.81 %]\n", + "Total : 1.31738 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.2797e-03 sec\n", + "--- Collate = 5.8033e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.021804e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.358765e-02 > 2.000000e-03 [41565]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41565/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.226] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000826352 [ 0.06 %]\n", + "Velocity : 0.0041608 [ 0.32 %]\n", + "Force : 0.497114 [ 37.75 %]\n", + "Coefs : 0.180188 [ 13.68 %]\n", + "Output : 0.0157319 [ 1.19 %]\n", + "Levels : 0.0003091 [ 0.02 %]\n", + "Report : 9.12e-07 [ 0.00 %]\n", + "Balance : 4.32e-07 [ 0.00 %]\n", + "Adjust : 0.618054 [ 46.94 %]\n", + "Total : 1.31682 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.2265e-03 sec\n", + "--- Collate = 6.4001e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.149274e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.359776e-02 > 2.000000e-03 [41560]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41560/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.228] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000825114 [ 0.06 %]\n", + "Velocity : 0.004128 [ 0.30 %]\n", + "Force : 0.526914 [ 37.88 %]\n", + "Coefs : 0.190675 [ 13.71 %]\n", + "Output : 0.0091274 [ 0.66 %]\n", + "Levels : 0.000349839 [ 0.03 %]\n", + "Report : 1.188e-06 [ 0.00 %]\n", + "Balance : 8.15e-07 [ 0.00 %]\n", + "Adjust : 0.658558 [ 47.34 %]\n", + "Total : 1.39103 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.4347e-03 sec\n", + "--- Collate = 7.1345e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.359863e-02 > 2.000000e-03 [41550]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41550/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.23] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000772084 [ 0.06 %]\n", + "Velocity : 0.00377049 [ 0.29 %]\n", + "Force : 0.494552 [ 37.59 %]\n", + "Coefs : 0.178756 [ 13.59 %]\n", + "Output : 0.00824284 [ 0.63 %]\n", + "Levels : 0.000369701 [ 0.03 %]\n", + "Report : 1.554e-06 [ 0.00 %]\n", + "Balance : 7.26e-07 [ 0.00 %]\n", + "Adjust : 0.628614 [ 47.79 %]\n", + "Total : 1.31549 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.3053e-03 sec\n", + "--- Collate = 8.9609e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.359048e-02 > 2.000000e-03 [41520]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41520/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.232] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000803444 [ 0.06 %]\n", + "Velocity : 0.00404781 [ 0.30 %]\n", + "Force : 0.500482 [ 37.17 %]\n", + "Coefs : 0.18157 [ 13.49 %]\n", + "Output : 0.00863444 [ 0.64 %]\n", + "Levels : 0.000352679 [ 0.03 %]\n", + "Report : 1.015e-06 [ 0.00 %]\n", + "Balance : 6.38e-07 [ 0.00 %]\n", + "Adjust : 0.649928 [ 48.28 %]\n", + "Total : 1.34629 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.8005e-03 sec\n", + "--- Collate = 6.1753e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.178775e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.358049e-02 > 2.000000e-03 [41505]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41505/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.234] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000821422 [ 0.06 %]\n", + "Velocity : 0.00411584 [ 0.31 %]\n", + "Force : 0.50916 [ 37.77 %]\n", + "Coefs : 0.183339 [ 13.60 %]\n", + "Output : 0.00903045 [ 0.67 %]\n", + "Levels : 0.000290612 [ 0.02 %]\n", + "Report : 1.427e-06 [ 0.00 %]\n", + "Balance : 7.49e-07 [ 0.00 %]\n", + "Adjust : 0.640667 [ 47.53 %]\n", + "Total : 1.34788 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.9679e-03 sec\n", + "--- Collate = 7.6332e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.782710e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.357231e-02 > 2.000000e-03 [41507]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41507/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.236] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000852708 [ 0.06 %]\n", + "Velocity : 0.00409438 [ 0.30 %]\n", + "Force : 0.50045 [ 37.17 %]\n", + "Coefs : 0.183513 [ 13.63 %]\n", + "Output : 0.00906186 [ 0.67 %]\n", + "Levels : 0.000358345 [ 0.03 %]\n", + "Report : 1.411e-06 [ 0.00 %]\n", + "Balance : 5.06e-07 [ 0.00 %]\n", + "Adjust : 0.647538 [ 48.10 %]\n", + "Total : 1.34631 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.8%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.2287e-03 sec\n", + "--- Collate = 6.4697e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.809063e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.356087e-02 > 2.000000e-03 [41492]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41492/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.238] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000839552 [ 0.06 %]\n", + "Velocity : 0.00389731 [ 0.30 %]\n", + "Force : 0.497342 [ 37.88 %]\n", + "Coefs : 0.179419 [ 13.67 %]\n", + "Output : 0.008379 [ 0.64 %]\n", + "Levels : 0.000354423 [ 0.03 %]\n", + "Report : 1.089e-06 [ 0.00 %]\n", + "Balance : 7.36e-07 [ 0.00 %]\n", + "Adjust : 0.622302 [ 47.40 %]\n", + "Total : 1.31295 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.3048e-03 sec\n", + "--- Collate = 7.4188e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.523539e-06 < 7.812500e-06 [4]\n", + "--- Max DT=2.355426e-02 > 2.000000e-03 [41482]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 4/20000\n", + " Component | high: 41482/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.24] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000745834 [ 0.05 %]\n", + "Velocity : 0.00381764 [ 0.27 %]\n", + "Force : 0.497389 [ 35.15 %]\n", + "Coefs : 0.181168 [ 12.80 %]\n", + "Output : 0.100446 [ 7.10 %]\n", + "Levels : 0.000298659 [ 0.02 %]\n", + "Report : 1.611e-06 [ 0.00 %]\n", + "Balance : 5.05e-07 [ 0.00 %]\n", + "Adjust : 0.630921 [ 44.58 %]\n", + "Total : 1.4152 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.6060e-03 sec\n", + "--- Collate = 6.4493e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.355559e-02 > 2.000000e-03 [41474]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41474/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.242] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000968804 [ 0.07 %]\n", + "Velocity : 0.0042834 [ 0.33 %]\n", + "Force : 0.49344 [ 37.51 %]\n", + "Coefs : 0.180924 [ 13.75 %]\n", + "Output : 0.00897361 [ 0.68 %]\n", + "Levels : 0.00031035 [ 0.02 %]\n", + "Report : 1.475e-06 [ 0.00 %]\n", + "Balance : 4.69e-07 [ 0.00 %]\n", + "Adjust : 0.626197 [ 47.60 %]\n", + "Total : 1.31553 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.6451e-03 sec\n", + "--- Collate = 7.1555e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.606593e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.355546e-02 > 2.000000e-03 [41471]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41471/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.244] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000798665 [ 0.06 %]\n", + "Velocity : 0.0038201 [ 0.29 %]\n", + "Force : 0.50355 [ 37.71 %]\n", + "Coefs : 0.181735 [ 13.61 %]\n", + "Output : 0.00835922 [ 0.63 %]\n", + "Levels : 0.000393817 [ 0.03 %]\n", + "Report : 1.234e-06 [ 0.00 %]\n", + "Balance : 6.08e-07 [ 0.00 %]\n", + "Adjust : 0.636327 [ 47.65 %]\n", + "Total : 1.33542 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.3%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.2673e-03 sec\n", + "--- Collate = 6.1662e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.995657e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.355391e-02 > 2.000000e-03 [41473]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41473/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.246] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000786234 [ 0.06 %]\n", + "Velocity : 0.00377259 [ 0.28 %]\n", + "Force : 0.502072 [ 37.44 %]\n", + "Coefs : 0.182949 [ 13.64 %]\n", + "Output : 0.00856366 [ 0.64 %]\n", + "Levels : 0.000287918 [ 0.02 %]\n", + "Report : 1.138e-06 [ 0.00 %]\n", + "Balance : 3.02e-07 [ 0.00 %]\n", + "Adjust : 0.642212 [ 47.89 %]\n", + "Total : 1.34108 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.1425e-03 sec\n", + "--- Collate = 7.3114e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.355263e-02 > 2.000000e-03 [41469]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41469/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.248] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000769219 [ 0.06 %]\n", + "Velocity : 0.00375795 [ 0.28 %]\n", + "Force : 0.496639 [ 37.60 %]\n", + "Coefs : 0.180906 [ 13.70 %]\n", + "Output : 0.00827445 [ 0.63 %]\n", + "Levels : 0.000386372 [ 0.03 %]\n", + "Report : 1.104e-06 [ 0.00 %]\n", + "Balance : 5.05e-07 [ 0.00 %]\n", + "Adjust : 0.629529 [ 47.67 %]\n", + "Total : 1.32068 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 8.7%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.1953e-03 sec\n", + "--- Collate = 7.3101e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.990933e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.355343e-02 > 2.000000e-03 [41479]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41479/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.25] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00079099 [ 0.06 %]\n", + "Velocity : 0.00405093 [ 0.30 %]\n", + "Force : 0.501052 [ 37.39 %]\n", + "Coefs : 0.185018 [ 13.81 %]\n", + "Output : 0.00910595 [ 0.68 %]\n", + "Levels : 0.00035566 [ 0.03 %]\n", + "Report : 1.389e-06 [ 0.00 %]\n", + "Balance : 6.28e-07 [ 0.00 %]\n", + "Adjust : 0.639214 [ 47.70 %]\n", + "Total : 1.34003 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.3247e-03 sec\n", + "--- Collate = 6.7250e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.231889e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.354909e-02 > 2.000000e-03 [41499]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41499/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.252] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000722088 [ 0.05 %]\n", + "Velocity : 0.00377475 [ 0.28 %]\n", + "Force : 0.505688 [ 37.77 %]\n", + "Coefs : 0.183275 [ 13.69 %]\n", + "Output : 0.00822316 [ 0.61 %]\n", + "Levels : 0.000310106 [ 0.02 %]\n", + "Report : 1.085e-06 [ 0.00 %]\n", + "Balance : 5.71e-07 [ 0.00 %]\n", + "Adjust : 0.636372 [ 47.53 %]\n", + "Total : 1.3388 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.0584e-03 sec\n", + "--- Collate = 5.7876e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.354736e-02 > 2.000000e-03 [41483]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41483/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.254] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000825246 [ 0.06 %]\n", + "Velocity : 0.00416113 [ 0.31 %]\n", + "Force : 0.502094 [ 37.14 %]\n", + "Coefs : 0.184008 [ 13.61 %]\n", + "Output : 0.0167505 [ 1.24 %]\n", + "Levels : 0.000425268 [ 0.03 %]\n", + "Report : 1.089e-06 [ 0.00 %]\n", + "Balance : 6.35e-07 [ 0.00 %]\n", + "Adjust : 0.643245 [ 47.58 %]\n", + "Total : 1.35197 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.8606e-03 sec\n", + "--- Collate = 7.1499e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.832471e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.354763e-02 > 2.000000e-03 [41501]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41501/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.256] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000768672 [ 0.06 %]\n", + "Velocity : 0.00397053 [ 0.30 %]\n", + "Force : 0.513034 [ 38.30 %]\n", + "Coefs : 0.184201 [ 13.75 %]\n", + "Output : 0.00828104 [ 0.62 %]\n", + "Levels : 0.0004633 [ 0.03 %]\n", + "Report : 1.012e-06 [ 0.00 %]\n", + "Balance : 5.61e-07 [ 0.00 %]\n", + "Adjust : 0.628244 [ 46.91 %]\n", + "Total : 1.33937 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.6589e-03 sec\n", + "--- Collate = 5.8960e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.938725e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.354947e-02 > 2.000000e-03 [41490]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41490/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.258] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000797972 [ 0.06 %]\n", + "Velocity : 0.00400755 [ 0.30 %]\n", + "Force : 0.504767 [ 37.82 %]\n", + "Coefs : 0.183119 [ 13.72 %]\n", + "Output : 0.00883959 [ 0.66 %]\n", + "Levels : 0.000340342 [ 0.03 %]\n", + "Report : 1.039e-06 [ 0.00 %]\n", + "Balance : 6.22e-07 [ 0.00 %]\n", + "Adjust : 0.63236 [ 47.38 %]\n", + "Total : 1.33466 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.4046e-03 sec\n", + "--- Collate = 6.4402e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.355294e-02 > 2.000000e-03 [41477]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41477/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.26] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000838251 [ 0.06 %]\n", + "Velocity : 0.00399745 [ 0.27 %]\n", + "Force : 0.512506 [ 34.86 %]\n", + "Coefs : 0.184131 [ 12.52 %]\n", + "Output : 0.103359 [ 7.03 %]\n", + "Levels : 0.000448037 [ 0.03 %]\n", + "Report : 1.183e-06 [ 0.00 %]\n", + "Balance : 6.97e-07 [ 0.00 %]\n", + "Adjust : 0.664591 [ 45.20 %]\n", + "Total : 1.47034 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.8076e-03 sec\n", + "--- Collate = 7.1965e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.146004e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.355758e-02 > 2.000000e-03 [41483]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41483/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.262] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00106754 [ 0.08 %]\n", + "Velocity : 0.00417437 [ 0.31 %]\n", + "Force : 0.499587 [ 37.61 %]\n", + "Coefs : 0.180262 [ 13.57 %]\n", + "Output : 0.0096353 [ 0.73 %]\n", + "Levels : 0.000438386 [ 0.03 %]\n", + "Report : 1.35e-06 [ 0.00 %]\n", + "Balance : 5.93e-07 [ 0.00 %]\n", + "Adjust : 0.632678 [ 47.63 %]\n", + "Total : 1.3283 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.3786e-03 sec\n", + "--- Collate = 6.2517e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.808171e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.355636e-02 > 2.000000e-03 [41485]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41485/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.264] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00092823 [ 0.07 %]\n", + "Velocity : 0.00428594 [ 0.32 %]\n", + "Force : 0.517037 [ 38.11 %]\n", + "Coefs : 0.184271 [ 13.58 %]\n", + "Output : 0.00835491 [ 0.62 %]\n", + "Levels : 0.000327394 [ 0.02 %]\n", + "Report : 1.496e-06 [ 0.00 %]\n", + "Balance : 3.71e-07 [ 0.00 %]\n", + "Adjust : 0.640958 [ 47.25 %]\n", + "Total : 1.35664 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 8.2709e-03 sec\n", + "--- Collate = 6.4830e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.799287e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.354567e-02 > 2.000000e-03 [41484]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41484/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.266] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000792161 [ 0.06 %]\n", + "Velocity : 0.00376911 [ 0.29 %]\n", + "Force : 0.50388 [ 38.20 %]\n", + "Coefs : 0.179013 [ 13.57 %]\n", + "Output : 0.00811387 [ 0.62 %]\n", + "Levels : 0.000324991 [ 0.02 %]\n", + "Report : 1.25e-06 [ 0.00 %]\n", + "Balance : 5.38e-07 [ 0.00 %]\n", + "Adjust : 0.622724 [ 47.21 %]\n", + "Total : 1.31903 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.8%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.2285e-03 sec\n", + "--- Collate = 6.0599e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.372935e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.353427e-02 > 2.000000e-03 [41469]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41469/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.268] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000895499 [ 0.06 %]\n", + "Velocity : 0.00455769 [ 0.33 %]\n", + "Force : 0.529709 [ 37.93 %]\n", + "Coefs : 0.188974 [ 13.53 %]\n", + "Output : 0.00914109 [ 0.65 %]\n", + "Levels : 0.000352788 [ 0.03 %]\n", + "Report : 1.141e-06 [ 0.00 %]\n", + "Balance : 5.68e-07 [ 0.00 %]\n", + "Adjust : 0.662584 [ 47.44 %]\n", + "Total : 1.39671 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.0069e-03 sec\n", + "--- Collate = 6.8320e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.797957e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.352980e-02 > 2.000000e-03 [41462]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41462/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.27] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000831698 [ 0.06 %]\n", + "Velocity : 0.00402692 [ 0.30 %]\n", + "Force : 0.515352 [ 38.21 %]\n", + "Coefs : 0.185088 [ 13.72 %]\n", + "Output : 0.008667 [ 0.64 %]\n", + "Levels : 0.00035431 [ 0.03 %]\n", + "Report : 1.093e-06 [ 0.00 %]\n", + "Balance : 4.51e-07 [ 0.00 %]\n", + "Adjust : 0.63409 [ 47.01 %]\n", + "Total : 1.34884 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.8212e-03 sec\n", + "--- Collate = 6.6999e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.492719e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.352936e-02 > 2.000000e-03 [41481]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41481/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.272] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000950022 [ 0.07 %]\n", + "Velocity : 0.00486227 [ 0.35 %]\n", + "Force : 0.527756 [ 38.15 %]\n", + "Coefs : 0.188355 [ 13.62 %]\n", + "Output : 0.00974531 [ 0.70 %]\n", + "Levels : 0.00032645 [ 0.02 %]\n", + "Report : 1.217e-06 [ 0.00 %]\n", + "Balance : 6.53e-07 [ 0.00 %]\n", + "Adjust : 0.650786 [ 47.05 %]\n", + "Total : 1.38326 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.3431e-03 sec\n", + "--- Collate = 7.2359e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.794875e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.352603e-02 > 2.000000e-03 [41511]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41511/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.274] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000809195 [ 0.06 %]\n", + "Velocity : 0.00383176 [ 0.29 %]\n", + "Force : 0.50851 [ 38.10 %]\n", + "Coefs : 0.183618 [ 13.76 %]\n", + "Output : 0.00832497 [ 0.62 %]\n", + "Levels : 0.000330336 [ 0.02 %]\n", + "Report : 1.051e-06 [ 0.00 %]\n", + "Balance : 4.95e-07 [ 0.00 %]\n", + "Adjust : 0.628701 [ 47.11 %]\n", + "Total : 1.33457 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.3893e-03 sec\n", + "--- Collate = 6.3128e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.353033e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.352486e-02 > 2.000000e-03 [41537]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41537/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.276] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000775843 [ 0.06 %]\n", + "Velocity : 0.00388625 [ 0.29 %]\n", + "Force : 0.510756 [ 37.60 %]\n", + "Coefs : 0.186955 [ 13.76 %]\n", + "Output : 0.00884501 [ 0.65 %]\n", + "Levels : 0.000395784 [ 0.03 %]\n", + "Report : 1.329e-06 [ 0.00 %]\n", + "Balance : 6.55e-07 [ 0.00 %]\n", + "Adjust : 0.646294 [ 47.58 %]\n", + "Total : 1.35834 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.9563e-03 sec\n", + "--- Collate = 6.8058e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.352164e-02 > 2.000000e-03 [41535]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41535/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.278] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0008347 [ 0.06 %]\n", + "Velocity : 0.00420461 [ 0.31 %]\n", + "Force : 0.511483 [ 38.11 %]\n", + "Coefs : 0.185842 [ 13.85 %]\n", + "Output : 0.00853573 [ 0.64 %]\n", + "Levels : 0.000391713 [ 0.03 %]\n", + "Report : 1.176e-06 [ 0.00 %]\n", + "Balance : 4.13e-07 [ 0.00 %]\n", + "Adjust : 0.630265 [ 46.97 %]\n", + "Total : 1.34197 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.8002e-03 sec\n", + "--- Collate = 9.5832e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.850262e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.352197e-02 > 2.000000e-03 [41538]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41538/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.28] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000839572 [ 0.06 %]\n", + "Velocity : 0.0039429 [ 0.27 %]\n", + "Force : 0.516345 [ 35.85 %]\n", + "Coefs : 0.186025 [ 12.92 %]\n", + "Output : 0.0961769 [ 6.68 %]\n", + "Levels : 0.000426743 [ 0.03 %]\n", + "Report : 1.701e-06 [ 0.00 %]\n", + "Balance : 5.23e-07 [ 0.00 %]\n", + "Adjust : 0.636047 [ 44.16 %]\n", + "Total : 1.44026 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.4875e-03 sec\n", + "--- Collate = 6.9917e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.352150e-02 > 2.000000e-03 [41520]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41520/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.282] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000981354 [ 0.07 %]\n", + "Velocity : 0.0041548 [ 0.31 %]\n", + "Force : 0.514463 [ 38.40 %]\n", + "Coefs : 0.182598 [ 13.63 %]\n", + "Output : 0.00851579 [ 0.64 %]\n", + "Levels : 0.000368498 [ 0.03 %]\n", + "Report : 1.24e-06 [ 0.00 %]\n", + "Balance : 7.36e-07 [ 0.00 %]\n", + "Adjust : 0.628194 [ 46.89 %]\n", + "Total : 1.3397 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.4483e-03 sec\n", + "--- Collate = 7.2205e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.364702e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.352096e-02 > 2.000000e-03 [41505]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41505/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.284] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000799468 [ 0.06 %]\n", + "Velocity : 0.00400154 [ 0.29 %]\n", + "Force : 0.523293 [ 38.42 %]\n", + "Coefs : 0.18684 [ 13.72 %]\n", + "Output : 0.00874676 [ 0.64 %]\n", + "Levels : 0.000435464 [ 0.03 %]\n", + "Report : 1.134e-06 [ 0.00 %]\n", + "Balance : 6.74e-07 [ 0.00 %]\n", + "Adjust : 0.637562 [ 46.81 %]\n", + "Total : 1.36211 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.5769e-03 sec\n", + "--- Collate = 7.0711e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.652087e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.353225e-02 > 2.000000e-03 [41498]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41498/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.286] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000918551 [ 0.07 %]\n", + "Velocity : 0.00462975 [ 0.34 %]\n", + "Force : 0.518936 [ 38.05 %]\n", + "Coefs : 0.187394 [ 13.74 %]\n", + "Output : 0.00933938 [ 0.68 %]\n", + "Levels : 0.000335642 [ 0.02 %]\n", + "Report : 1.063e-06 [ 0.00 %]\n", + "Balance : 6.63e-07 [ 0.00 %]\n", + "Adjust : 0.64168 [ 47.05 %]\n", + "Total : 1.36371 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.4769e-03 sec\n", + "--- Collate = 6.5725e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.277981e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.354274e-02 > 2.000000e-03 [41500]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41500/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.288] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000832478 [ 0.06 %]\n", + "Velocity : 0.00403812 [ 0.30 %]\n", + "Force : 0.514432 [ 37.83 %]\n", + "Coefs : 0.186317 [ 13.70 %]\n", + "Output : 0.00890963 [ 0.66 %]\n", + "Levels : 0.000333667 [ 0.02 %]\n", + "Report : 1.014e-06 [ 0.00 %]\n", + "Balance : 4.17e-07 [ 0.00 %]\n", + "Adjust : 0.644407 [ 47.39 %]\n", + "Total : 1.35971 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.2687e-03 sec\n", + "--- Collate = 6.4847e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.824723e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.354382e-02 > 2.000000e-03 [41504]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41504/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.29] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00076994 [ 0.06 %]\n", + "Velocity : 0.00391544 [ 0.29 %]\n", + "Force : 0.509382 [ 37.83 %]\n", + "Coefs : 0.183226 [ 13.61 %]\n", + "Output : 0.00921882 [ 0.68 %]\n", + "Levels : 0.000305411 [ 0.02 %]\n", + "Report : 1.019e-06 [ 0.00 %]\n", + "Balance : 7.07e-07 [ 0.00 %]\n", + "Adjust : 0.639115 [ 47.47 %]\n", + "Total : 1.34637 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.3130e-03 sec\n", + "--- Collate = 6.2010e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.636656e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.353762e-02 > 2.000000e-03 [41483]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41483/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.292] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00077257 [ 0.06 %]\n", + "Velocity : 0.00384283 [ 0.29 %]\n", + "Force : 0.505074 [ 38.17 %]\n", + "Coefs : 0.180552 [ 13.65 %]\n", + "Output : 0.00924071 [ 0.70 %]\n", + "Levels : 0.000467509 [ 0.04 %]\n", + "Report : 1.186e-06 [ 0.00 %]\n", + "Balance : 5.02e-07 [ 0.00 %]\n", + "Adjust : 0.622837 [ 47.07 %]\n", + "Total : 1.3232 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.3666e-03 sec\n", + "--- Collate = 6.3427e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.637445e-07 < 7.812500e-06 [4]\n", + "--- Max DT=2.352663e-02 > 2.000000e-03 [41481]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 4/20000\n", + " Component | high: 41481/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.294] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000849096 [ 0.06 %]\n", + "Velocity : 0.0039973 [ 0.30 %]\n", + "Force : 0.508428 [ 37.62 %]\n", + "Coefs : 0.182823 [ 13.53 %]\n", + "Output : 0.0088979 [ 0.66 %]\n", + "Levels : 0.000445266 [ 0.03 %]\n", + "Report : 1.23e-06 [ 0.00 %]\n", + "Balance : 7.83e-07 [ 0.00 %]\n", + "Adjust : 0.645507 [ 47.77 %]\n", + "Total : 1.3514 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.3180e-03 sec\n", + "--- Collate = 6.2487e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.852255e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.351353e-02 > 2.000000e-03 [41492]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41492/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.296] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000800703 [ 0.06 %]\n", + "Velocity : 0.00391031 [ 0.29 %]\n", + "Force : 0.503961 [ 37.89 %]\n", + "Coefs : 0.180831 [ 13.59 %]\n", + "Output : 0.00843187 [ 0.63 %]\n", + "Levels : 0.000302313 [ 0.02 %]\n", + "Report : 1.09e-06 [ 0.00 %]\n", + "Balance : 5.67e-07 [ 0.00 %]\n", + "Adjust : 0.631463 [ 47.47 %]\n", + "Total : 1.33013 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.8652e-03 sec\n", + "--- Collate = 9.7692e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.439028e-07 < 7.812500e-06 [2]\n", + "--- Max DT=2.351075e-02 > 2.000000e-03 [41490]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41490/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.298] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000838445 [ 0.06 %]\n", + "Velocity : 0.00388305 [ 0.29 %]\n", + "Force : 0.512662 [ 37.69 %]\n", + "Coefs : 0.185227 [ 13.62 %]\n", + "Output : 0.0096985 [ 0.71 %]\n", + "Levels : 0.000480627 [ 0.04 %]\n", + "Report : 1.323e-06 [ 0.00 %]\n", + "Balance : 5.86e-07 [ 0.00 %]\n", + "Adjust : 0.646867 [ 47.56 %]\n", + "Total : 1.3601 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.2859e-03 sec\n", + "--- Collate = 7.1260e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.608763e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.351316e-02 > 2.000000e-03 [41486]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41486/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.3] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000879744 [ 0.06 %]\n", + "Velocity : 0.00416994 [ 0.29 %]\n", + "Force : 0.518669 [ 35.86 %]\n", + "Coefs : 0.187391 [ 12.95 %]\n", + "Output : 0.0917397 [ 6.34 %]\n", + "Levels : 0.000576832 [ 0.04 %]\n", + "Report : 1.26e-06 [ 0.00 %]\n", + "Balance : 5.97e-07 [ 0.00 %]\n", + "Adjust : 0.642687 [ 44.43 %]\n", + "Total : 1.44653 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.6210e-03 sec\n", + "--- Collate = 9.0758e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.351203e-02 > 2.000000e-03 [41485]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41485/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.302] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00109445 [ 0.08 %]\n", + "Velocity : 0.00442118 [ 0.32 %]\n", + "Force : 0.510706 [ 37.15 %]\n", + "Coefs : 0.189897 [ 13.81 %]\n", + "Output : 0.00947116 [ 0.69 %]\n", + "Levels : 0.000407935 [ 0.03 %]\n", + "Report : 8.86e-07 [ 0.00 %]\n", + "Balance : 3.69e-07 [ 0.00 %]\n", + "Adjust : 0.658447 [ 47.89 %]\n", + "Total : 1.37489 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.5409e-03 sec\n", + "--- Collate = 6.7161e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.104388e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.351007e-02 > 2.000000e-03 [41493]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41493/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.304] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00111685 [ 0.08 %]\n", + "Velocity : 0.00514582 [ 0.35 %]\n", + "Force : 0.552301 [ 37.54 %]\n", + "Coefs : 0.196986 [ 13.39 %]\n", + "Output : 0.0102569 [ 0.70 %]\n", + "Levels : 0.000337703 [ 0.02 %]\n", + "Report : 1.405e-06 [ 0.00 %]\n", + "Balance : 6.19e-07 [ 0.00 %]\n", + "Adjust : 0.704621 [ 47.89 %]\n", + "Total : 1.4713 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.8788e-03 sec\n", + "--- Collate = 6.5156e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.350943e-02 > 2.000000e-03 [41519]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41519/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.306] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000818897 [ 0.06 %]\n", + "Velocity : 0.00413632 [ 0.30 %]\n", + "Force : 0.524068 [ 37.38 %]\n", + "Coefs : 0.195152 [ 13.92 %]\n", + "Output : 0.00829666 [ 0.59 %]\n", + "Levels : 0.000341124 [ 0.02 %]\n", + "Report : 1.244e-06 [ 0.00 %]\n", + "Balance : 4.85e-07 [ 0.00 %]\n", + "Adjust : 0.668897 [ 47.71 %]\n", + "Total : 1.40214 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.3440e-03 sec\n", + "--- Collate = 6.1443e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.608273e-07 < 7.812500e-06 [3]\n", + "--- Max DT=2.351018e-02 > 2.000000e-03 [41527]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41527/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.308] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000838428 [ 0.06 %]\n", + "Velocity : 0.00386749 [ 0.28 %]\n", + "Force : 0.523656 [ 37.59 %]\n", + "Coefs : 0.187894 [ 13.49 %]\n", + "Output : 0.00859668 [ 0.62 %]\n", + "Levels : 0.000355642 [ 0.03 %]\n", + "Report : 8.74e-07 [ 0.00 %]\n", + "Balance : 3.44e-07 [ 0.00 %]\n", + "Adjust : 0.667584 [ 47.92 %]\n", + "Total : 1.39324 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.3553e-03 sec\n", + "--- Collate = 6.1200e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.988943e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.350797e-02 > 2.000000e-03 [41535]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41535/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.31] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000898399 [ 0.06 %]\n", + "Velocity : 0.00457765 [ 0.32 %]\n", + "Force : 0.535968 [ 37.73 %]\n", + "Coefs : 0.191157 [ 13.46 %]\n", + "Output : 0.0100989 [ 0.71 %]\n", + "Levels : 0.00049733 [ 0.04 %]\n", + "Report : 1.183e-06 [ 0.00 %]\n", + "Balance : 5.61e-07 [ 0.00 %]\n", + "Adjust : 0.676695 [ 47.64 %]\n", + "Total : 1.42039 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.6944e-03 sec\n", + "--- Collate = 8.1203e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.351310e-02 > 2.000000e-03 [41543]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41543/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.312] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000989301 [ 0.07 %]\n", + "Velocity : 0.00511758 [ 0.36 %]\n", + "Force : 0.530854 [ 37.74 %]\n", + "Coefs : 0.188196 [ 13.38 %]\n", + "Output : 0.0118263 [ 0.84 %]\n", + "Levels : 0.000477889 [ 0.03 %]\n", + "Report : 1.464e-06 [ 0.00 %]\n", + "Balance : 5.61e-07 [ 0.00 %]\n", + "Adjust : 0.668507 [ 47.53 %]\n", + "Total : 1.40655 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.6367e-03 sec\n", + "--- Collate = 7.0624e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.910120e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.351795e-02 > 2.000000e-03 [41555]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41555/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.314] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000998471 [ 0.07 %]\n", + "Velocity : 0.00464473 [ 0.33 %]\n", + "Force : 0.537329 [ 37.91 %]\n", + "Coefs : 0.189871 [ 13.39 %]\n", + "Output : 0.0101614 [ 0.72 %]\n", + "Levels : 0.000303188 [ 0.02 %]\n", + "Report : 1.18e-06 [ 0.00 %]\n", + "Balance : 3.48e-07 [ 0.00 %]\n", + "Adjust : 0.673711 [ 47.53 %]\n", + "Total : 1.41748 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 9.1013e-03 sec\n", + "--- Collate = 8.1448e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.351617e-02 > 2.000000e-03 [41554]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41554/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.316] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000785695 [ 0.06 %]\n", + "Velocity : 0.00398149 [ 0.29 %]\n", + "Force : 0.518641 [ 37.45 %]\n", + "Coefs : 0.189569 [ 13.69 %]\n", + "Output : 0.00924662 [ 0.67 %]\n", + "Levels : 0.000363783 [ 0.03 %]\n", + "Report : 1.52e-06 [ 0.00 %]\n", + "Balance : 5.97e-07 [ 0.00 %]\n", + "Adjust : 0.661926 [ 47.79 %]\n", + "Total : 1.38495 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.9524e-03 sec\n", + "--- Collate = 8.2819e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.280165e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.350877e-02 > 2.000000e-03 [41531]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41531/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.318] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000953339 [ 0.07 %]\n", + "Velocity : 0.0047455 [ 0.33 %]\n", + "Force : 0.530156 [ 37.03 %]\n", + "Coefs : 0.195161 [ 13.63 %]\n", + "Output : 0.0105462 [ 0.74 %]\n", + "Levels : 0.000293179 [ 0.02 %]\n", + "Report : 1.256e-06 [ 0.00 %]\n", + "Balance : 6.83e-07 [ 0.00 %]\n", + "Adjust : 0.689205 [ 48.14 %]\n", + "Total : 1.43156 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.4765e-03 sec\n", + "--- Collate = 8.1532e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.314561e-06 < 7.812500e-06 [4]\n", + "--- Max DT=2.349856e-02 > 2.000000e-03 [41535]\n", + "----------------------------------------------------------------------\n", + " Component | low: 1/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41535/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.32] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0009404 [ 0.06 %]\n", + "Velocity : 0.00433263 [ 0.29 %]\n", + "Force : 0.528663 [ 34.92 %]\n", + "Coefs : 0.192298 [ 12.70 %]\n", + "Output : 0.0994103 [ 6.57 %]\n", + "Levels : 0.000347245 [ 0.02 %]\n", + "Report : 1.238e-06 [ 0.00 %]\n", + "Balance : 7.75e-07 [ 0.00 %]\n", + "Adjust : 0.687348 [ 45.40 %]\n", + "Total : 1.51384 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.4000e-03 sec\n", + "--- Collate = 7.7039e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.349743e-02 > 2.000000e-03 [41521]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41521/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.322] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000992577 [ 0.07 %]\n", + "Velocity : 0.00460567 [ 0.33 %]\n", + "Force : 0.527762 [ 37.48 %]\n", + "Coefs : 0.19043 [ 13.52 %]\n", + "Output : 0.0105533 [ 0.75 %]\n", + "Levels : 0.000362398 [ 0.03 %]\n", + "Report : 1.403e-06 [ 0.00 %]\n", + "Balance : 5.77e-07 [ 0.00 %]\n", + "Adjust : 0.672817 [ 47.78 %]\n", + "Total : 1.40803 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.2136e-03 sec\n", + "--- Collate = 6.2143e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.177345e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.350256e-02 > 2.000000e-03 [41531]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41531/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.324] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000977581 [ 0.06 %]\n", + "Velocity : 0.00441047 [ 0.29 %]\n", + "Force : 0.627686 [ 41.73 %]\n", + "Coefs : 0.191568 [ 12.73 %]\n", + "Output : 0.0100687 [ 0.67 %]\n", + "Levels : 0.000355404 [ 0.02 %]\n", + "Report : 1.225e-06 [ 0.00 %]\n", + "Balance : 5.84e-07 [ 0.00 %]\n", + "Adjust : 0.668775 [ 44.46 %]\n", + "Total : 1.50433 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7087e-03 sec\n", + "--- Collate = 6.9522e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.837673e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.350274e-02 > 2.000000e-03 [41539]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41539/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.326] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000991922 [ 0.08 %]\n", + "Velocity : 0.00426534 [ 0.33 %]\n", + "Force : 0.491827 [ 38.33 %]\n", + "Coefs : 0.175126 [ 13.65 %]\n", + "Output : 0.0102868 [ 0.80 %]\n", + "Levels : 0.000336433 [ 0.03 %]\n", + "Report : 1.185e-06 [ 0.00 %]\n", + "Balance : 5.8e-07 [ 0.00 %]\n", + "Adjust : 0.599737 [ 46.74 %]\n", + "Total : 1.28303 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.5768e-03 sec\n", + "--- Collate = 6.2631e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.667578e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.349786e-02 > 2.000000e-03 [41541]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41541/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.328] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000774383 [ 0.06 %]\n", + "Velocity : 0.00363702 [ 0.30 %]\n", + "Force : 0.457524 [ 37.96 %]\n", + "Coefs : 0.166863 [ 13.84 %]\n", + "Output : 0.00786559 [ 0.65 %]\n", + "Levels : 0.000311984 [ 0.03 %]\n", + "Report : 1.063e-06 [ 0.00 %]\n", + "Balance : 3.61e-07 [ 0.00 %]\n", + "Adjust : 0.567886 [ 47.12 %]\n", + "Total : 1.20524 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6231e-03 sec\n", + "--- Collate = 5.8089e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.618417e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.349822e-02 > 2.000000e-03 [41539]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41539/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.33] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000765588 [ 0.07 %]\n", + "Velocity : 0.00344747 [ 0.29 %]\n", + "Force : 0.440219 [ 37.56 %]\n", + "Coefs : 0.164237 [ 14.01 %]\n", + "Output : 0.0072132 [ 0.62 %]\n", + "Levels : 0.000298298 [ 0.03 %]\n", + "Report : 1.064e-06 [ 0.00 %]\n", + "Balance : 4.27e-07 [ 0.00 %]\n", + "Adjust : 0.555537 [ 47.40 %]\n", + "Total : 1.17208 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.4531e-03 sec\n", + "--- Collate = 6.1623e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.720763e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.349502e-02 > 2.000000e-03 [41554]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41554/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.332] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000757257 [ 0.06 %]\n", + "Velocity : 0.00341047 [ 0.29 %]\n", + "Force : 0.444511 [ 37.77 %]\n", + "Coefs : 0.163669 [ 13.91 %]\n", + "Output : 0.00693823 [ 0.59 %]\n", + "Levels : 0.000362865 [ 0.03 %]\n", + "Report : 1.05e-06 [ 0.00 %]\n", + "Balance : 5.49e-07 [ 0.00 %]\n", + "Adjust : 0.556994 [ 47.32 %]\n", + "Total : 1.177 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.7782e-03 sec\n", + "--- Collate = 6.0664e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.231828e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.348847e-02 > 2.000000e-03 [41546]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41546/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.334] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0007869 [ 0.07 %]\n", + "Velocity : 0.00334364 [ 0.28 %]\n", + "Force : 0.442226 [ 37.63 %]\n", + "Coefs : 0.163438 [ 13.91 %]\n", + "Output : 0.00708262 [ 0.60 %]\n", + "Levels : 0.000324989 [ 0.03 %]\n", + "Report : 1.066e-06 [ 0.00 %]\n", + "Balance : 5.63e-07 [ 0.00 %]\n", + "Adjust : 0.557656 [ 47.45 %]\n", + "Total : 1.17523 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6089e-03 sec\n", + "--- Collate = 5.3476e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.659964e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.347832e-02 > 2.000000e-03 [41547]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41547/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.336] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000745797 [ 0.06 %]\n", + "Velocity : 0.00349288 [ 0.29 %]\n", + "Force : 0.455978 [ 38.19 %]\n", + "Coefs : 0.163579 [ 13.70 %]\n", + "Output : 0.00801887 [ 0.67 %]\n", + "Levels : 0.000299741 [ 0.03 %]\n", + "Report : 1.036e-06 [ 0.00 %]\n", + "Balance : 3.87e-07 [ 0.00 %]\n", + "Adjust : 0.561485 [ 47.03 %]\n", + "Total : 1.19397 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.4670e-03 sec\n", + "--- Collate = 6.3321e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.312385e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.347589e-02 > 2.000000e-03 [41543]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41543/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.338] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000695874 [ 0.06 %]\n", + "Velocity : 0.0033571 [ 0.28 %]\n", + "Force : 0.449358 [ 38.02 %]\n", + "Coefs : 0.16435 [ 13.90 %]\n", + "Output : 0.00696465 [ 0.59 %]\n", + "Levels : 0.000278202 [ 0.02 %]\n", + "Report : 1.094e-06 [ 0.00 %]\n", + "Balance : 4.08e-07 [ 0.00 %]\n", + "Adjust : 0.556674 [ 47.09 %]\n", + "Total : 1.18205 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6609e-03 sec\n", + "--- Collate = 7.3644e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.454276e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.347663e-02 > 2.000000e-03 [41546]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41546/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.34] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00072163 [ 0.06 %]\n", + "Velocity : 0.00338582 [ 0.27 %]\n", + "Force : 0.447826 [ 35.66 %]\n", + "Coefs : 0.164732 [ 13.12 %]\n", + "Output : 0.0848649 [ 6.76 %]\n", + "Levels : 0.000316139 [ 0.03 %]\n", + "Report : 1.119e-06 [ 0.00 %]\n", + "Balance : 4.46e-07 [ 0.00 %]\n", + "Adjust : 0.55344 [ 44.08 %]\n", + "Total : 1.25565 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7276e-03 sec\n", + "--- Collate = 8.6994e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.348133e-02 > 2.000000e-03 [41530]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41530/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.342] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000790731 [ 0.07 %]\n", + "Velocity : 0.00348454 [ 0.29 %]\n", + "Force : 0.447153 [ 37.76 %]\n", + "Coefs : 0.164463 [ 13.89 %]\n", + "Output : 0.00733514 [ 0.62 %]\n", + "Levels : 0.000342938 [ 0.03 %]\n", + "Report : 1.123e-06 [ 0.00 %]\n", + "Balance : 3.91e-07 [ 0.00 %]\n", + "Adjust : 0.560107 [ 47.30 %]\n", + "Total : 1.18405 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.5785e-03 sec\n", + "--- Collate = 5.8330e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.348390e-02 > 2.000000e-03 [41530]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41530/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.344] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000698494 [ 0.06 %]\n", + "Velocity : 0.00332057 [ 0.28 %]\n", + "Force : 0.448565 [ 37.95 %]\n", + "Coefs : 0.161954 [ 13.70 %]\n", + "Output : 0.00732715 [ 0.62 %]\n", + "Levels : 0.000348261 [ 0.03 %]\n", + "Report : 1.16e-06 [ 0.00 %]\n", + "Balance : 4.95e-07 [ 0.00 %]\n", + "Adjust : 0.559548 [ 47.33 %]\n", + "Total : 1.18214 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.7%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.4968e-03 sec\n", + "--- Collate = 5.8935e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.348529e-02 > 2.000000e-03 [41521]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41521/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.346] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000730385 [ 0.06 %]\n", + "Velocity : 0.00338866 [ 0.29 %]\n", + "Force : 0.439306 [ 37.49 %]\n", + "Coefs : 0.161457 [ 13.78 %]\n", + "Output : 0.00714146 [ 0.61 %]\n", + "Levels : 0.000310252 [ 0.03 %]\n", + "Report : 1.146e-06 [ 0.00 %]\n", + "Balance : 4.73e-07 [ 0.00 %]\n", + "Adjust : 0.559141 [ 47.71 %]\n", + "Total : 1.17185 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.5304e-03 sec\n", + "--- Collate = 6.2147e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.329392e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.348517e-02 > 2.000000e-03 [41535]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41535/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.348] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000744445 [ 0.06 %]\n", + "Velocity : 0.00346912 [ 0.30 %]\n", + "Force : 0.44139 [ 37.61 %]\n", + "Coefs : 0.163021 [ 13.89 %]\n", + "Output : 0.00719353 [ 0.61 %]\n", + "Levels : 0.000258522 [ 0.02 %]\n", + "Report : 1.155e-06 [ 0.00 %]\n", + "Balance : 5.58e-07 [ 0.00 %]\n", + "Adjust : 0.557157 [ 47.47 %]\n", + "Total : 1.17361 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.6297e-03 sec\n", + "--- Collate = 6.8219e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.220128e-06 < 7.812500e-06 [5]\n", + "--- Max DT=2.348386e-02 > 2.000000e-03 [41520]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 5/20000\n", + " Component | high: 41520/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.35] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000777038 [ 0.07 %]\n", + "Velocity : 0.00336902 [ 0.28 %]\n", + "Force : 0.447244 [ 37.81 %]\n", + "Coefs : 0.1618 [ 13.68 %]\n", + "Output : 0.00729959 [ 0.62 %]\n", + "Levels : 0.000302401 [ 0.03 %]\n", + "Report : 8.63e-07 [ 0.00 %]\n", + "Balance : 4.46e-07 [ 0.00 %]\n", + "Adjust : 0.561749 [ 47.49 %]\n", + "Total : 1.18292 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.9064e-03 sec\n", + "--- Collate = 6.9606e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.348760e-02 > 2.000000e-03 [41534]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41534/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.352] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000725549 [ 0.06 %]\n", + "Velocity : 0.0033264 [ 0.28 %]\n", + "Force : 0.448013 [ 37.68 %]\n", + "Coefs : 0.16284 [ 13.70 %]\n", + "Output : 0.00792045 [ 0.67 %]\n", + "Levels : 0.000380434 [ 0.03 %]\n", + "Report : 1.151e-06 [ 0.00 %]\n", + "Balance : 4.39e-07 [ 0.00 %]\n", + "Adjust : 0.565417 [ 47.55 %]\n", + "Total : 1.18901 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.7686e-03 sec\n", + "--- Collate = 6.1800e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.885697e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.348289e-02 > 2.000000e-03 [41523]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41523/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.354] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000784951 [ 0.06 %]\n", + "Velocity : 0.00376867 [ 0.31 %]\n", + "Force : 0.4643 [ 37.93 %]\n", + "Coefs : 0.166962 [ 13.64 %]\n", + "Output : 0.00868968 [ 0.71 %]\n", + "Levels : 0.000340554 [ 0.03 %]\n", + "Report : 1.204e-06 [ 0.00 %]\n", + "Balance : 4.13e-07 [ 0.00 %]\n", + "Adjust : 0.578677 [ 47.28 %]\n", + "Total : 1.22395 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.4003e-03 sec\n", + "--- Collate = 5.5051e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.228250e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.348078e-02 > 2.000000e-03 [41497]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41497/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.356] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000763074 [ 0.07 %]\n", + "Velocity : 0.00331024 [ 0.28 %]\n", + "Force : 0.438822 [ 37.53 %]\n", + "Coefs : 0.162038 [ 13.86 %]\n", + "Output : 0.0073153 [ 0.63 %]\n", + "Levels : 0.000260232 [ 0.02 %]\n", + "Report : 9.69e-07 [ 0.00 %]\n", + "Balance : 4e-07 [ 0.00 %]\n", + "Adjust : 0.556321 [ 47.58 %]\n", + "Total : 1.1692 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6230e-03 sec\n", + "--- Collate = 5.9883e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.348595e-02 > 2.000000e-03 [41472]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41472/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.358] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000723669 [ 0.06 %]\n", + "Velocity : 0.00336029 [ 0.28 %]\n", + "Force : 0.449794 [ 37.71 %]\n", + "Coefs : 0.164889 [ 13.82 %]\n", + "Output : 0.00783153 [ 0.66 %]\n", + "Levels : 0.000287033 [ 0.02 %]\n", + "Report : 8.5e-07 [ 0.00 %]\n", + "Balance : 4.73e-07 [ 0.00 %]\n", + "Adjust : 0.565623 [ 47.42 %]\n", + "Total : 1.1929 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.4298e-03 sec\n", + "--- Collate = 5.7096e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.771071e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.348956e-02 > 2.000000e-03 [41474]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41474/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.36] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000709811 [ 0.06 %]\n", + "Velocity : 0.00322837 [ 0.26 %]\n", + "Force : 0.436088 [ 35.05 %]\n", + "Coefs : 0.161268 [ 12.96 %]\n", + "Output : 0.0834086 [ 6.70 %]\n", + "Levels : 0.000291578 [ 0.02 %]\n", + "Report : 1.226e-06 [ 0.00 %]\n", + "Balance : 5.23e-07 [ 0.00 %]\n", + "Adjust : 0.558782 [ 44.91 %]\n", + "Total : 1.24414 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.3611e-03 sec\n", + "--- Collate = 5.6725e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.744261e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.348298e-02 > 2.000000e-03 [41456]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41456/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.362] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000791856 [ 0.07 %]\n", + "Velocity : 0.0034756 [ 0.29 %]\n", + "Force : 0.441899 [ 37.44 %]\n", + "Coefs : 0.162507 [ 13.77 %]\n", + "Output : 0.0150946 [ 1.28 %]\n", + "Levels : 0.000342303 [ 0.03 %]\n", + "Report : 9.82e-07 [ 0.00 %]\n", + "Balance : 3.85e-07 [ 0.00 %]\n", + "Adjust : 0.555641 [ 47.08 %]\n", + "Total : 1.18013 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.8%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.3375e-03 sec\n", + "--- Collate = 6.0358e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.747911e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.347481e-02 > 2.000000e-03 [41466]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41466/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.364] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000727912 [ 0.06 %]\n", + "Velocity : 0.00338059 [ 0.28 %]\n", + "Force : 0.451732 [ 37.99 %]\n", + "Coefs : 0.165085 [ 13.88 %]\n", + "Output : 0.00723054 [ 0.61 %]\n", + "Levels : 0.000293224 [ 0.02 %]\n", + "Report : 1.072e-06 [ 0.00 %]\n", + "Balance : 5.5e-07 [ 0.00 %]\n", + "Adjust : 0.560388 [ 47.12 %]\n", + "Total : 1.1892 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.6862e-03 sec\n", + "--- Collate = 6.1329e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.346613e-02 > 2.000000e-03 [41453]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41453/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.366] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000770945 [ 0.07 %]\n", + "Velocity : 0.00344584 [ 0.29 %]\n", + "Force : 0.445696 [ 37.82 %]\n", + "Coefs : 0.162812 [ 13.82 %]\n", + "Output : 0.00730804 [ 0.62 %]\n", + "Levels : 0.000349563 [ 0.03 %]\n", + "Report : 1.136e-06 [ 0.00 %]\n", + "Balance : 5.59e-07 [ 0.00 %]\n", + "Adjust : 0.557582 [ 47.32 %]\n", + "Total : 1.17835 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.8%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.4689e-03 sec\n", + "--- Collate = 5.8780e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.429608e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.346435e-02 > 2.000000e-03 [41443]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41443/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.368] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000733647 [ 0.06 %]\n", + "Velocity : 0.00341321 [ 0.29 %]\n", + "Force : 0.440807 [ 37.67 %]\n", + "Coefs : 0.161369 [ 13.79 %]\n", + "Output : 0.00695842 [ 0.59 %]\n", + "Levels : 0.000335028 [ 0.03 %]\n", + "Report : 1.172e-06 [ 0.00 %]\n", + "Balance : 4.65e-07 [ 0.00 %]\n", + "Adjust : 0.556109 [ 47.53 %]\n", + "Total : 1.1701 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.3411e-03 sec\n", + "--- Collate = 5.7555e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.346799e-02 > 2.000000e-03 [41424]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41424/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.37] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000718883 [ 0.06 %]\n", + "Velocity : 0.00338834 [ 0.29 %]\n", + "Force : 0.448887 [ 37.87 %]\n", + "Coefs : 0.164274 [ 13.86 %]\n", + "Output : 0.00705014 [ 0.59 %]\n", + "Levels : 0.000306163 [ 0.03 %]\n", + "Report : 1.071e-06 [ 0.00 %]\n", + "Balance : 6.26e-07 [ 0.00 %]\n", + "Adjust : 0.56044 [ 47.28 %]\n", + "Total : 1.18543 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.7351e-03 sec\n", + "--- Collate = 5.7824e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.219253e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.346524e-02 > 2.000000e-03 [41434]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41434/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.372] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000773658 [ 0.07 %]\n", + "Velocity : 0.00324113 [ 0.28 %]\n", + "Force : 0.441299 [ 37.68 %]\n", + "Coefs : 0.162538 [ 13.88 %]\n", + "Output : 0.00718446 [ 0.61 %]\n", + "Levels : 0.000323221 [ 0.03 %]\n", + "Report : 1.086e-06 [ 0.00 %]\n", + "Balance : 4.38e-07 [ 0.00 %]\n", + "Adjust : 0.555423 [ 47.43 %]\n", + "Total : 1.17115 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7711e-03 sec\n", + "--- Collate = 6.3442e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.918880e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.345863e-02 > 2.000000e-03 [41403]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41403/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.374] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000751781 [ 0.06 %]\n", + "Velocity : 0.00322324 [ 0.27 %]\n", + "Force : 0.448422 [ 37.67 %]\n", + "Coefs : 0.163188 [ 13.71 %]\n", + "Output : 0.00733613 [ 0.62 %]\n", + "Levels : 0.000307732 [ 0.03 %]\n", + "Report : 1.24e-06 [ 0.00 %]\n", + "Balance : 5.74e-07 [ 0.00 %]\n", + "Adjust : 0.566769 [ 47.61 %]\n", + "Total : 1.19037 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.5467e-03 sec\n", + "--- Collate = 5.9759e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.345539e-02 > 2.000000e-03 [41390]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41390/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.376] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000763255 [ 0.06 %]\n", + "Velocity : 0.00357136 [ 0.30 %]\n", + "Force : 0.444093 [ 37.53 %]\n", + "Coefs : 0.164281 [ 13.88 %]\n", + "Output : 0.00690888 [ 0.58 %]\n", + "Levels : 0.000306876 [ 0.03 %]\n", + "Report : 7.85e-07 [ 0.00 %]\n", + "Balance : 4.99e-07 [ 0.00 %]\n", + "Adjust : 0.563069 [ 47.58 %]\n", + "Total : 1.18336 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.5313e-03 sec\n", + "--- Collate = 5.6964e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.345190e-02 > 2.000000e-03 [41390]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41390/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.378] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000721482 [ 0.06 %]\n", + "Velocity : 0.00337792 [ 0.28 %]\n", + "Force : 0.456667 [ 38.06 %]\n", + "Coefs : 0.166472 [ 13.87 %]\n", + "Output : 0.00729597 [ 0.61 %]\n", + "Levels : 0.000318219 [ 0.03 %]\n", + "Report : 9.82e-07 [ 0.00 %]\n", + "Balance : 3.98e-07 [ 0.00 %]\n", + "Adjust : 0.56459 [ 47.06 %]\n", + "Total : 1.19983 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7015e-03 sec\n", + "--- Collate = 5.6939e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.602861e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.344372e-02 > 2.000000e-03 [41377]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41377/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.38] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000726557 [ 0.06 %]\n", + "Velocity : 0.00341217 [ 0.27 %]\n", + "Force : 0.443635 [ 35.24 %]\n", + "Coefs : 0.162333 [ 12.89 %]\n", + "Output : 0.0858509 [ 6.82 %]\n", + "Levels : 0.000348795 [ 0.03 %]\n", + "Report : 9.24e-07 [ 0.00 %]\n", + "Balance : 3.46e-07 [ 0.00 %]\n", + "Adjust : 0.562234 [ 44.66 %]\n", + "Total : 1.25891 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.8%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.1358e-03 sec\n", + "--- Collate = 5.9765e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.343677e-02 > 2.000000e-03 [41360]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41360/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.382] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000851107 [ 0.07 %]\n", + "Velocity : 0.00365773 [ 0.31 %]\n", + "Force : 0.447369 [ 37.59 %]\n", + "Coefs : 0.163806 [ 13.76 %]\n", + "Output : 0.00835872 [ 0.70 %]\n", + "Levels : 0.000330076 [ 0.03 %]\n", + "Report : 9.91e-07 [ 0.00 %]\n", + "Balance : 5.49e-07 [ 0.00 %]\n", + "Adjust : 0.565491 [ 47.51 %]\n", + "Total : 1.19028 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.3409e-03 sec\n", + "--- Collate = 6.3072e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.672813e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.343598e-02 > 2.000000e-03 [41372]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41372/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.384] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000751045 [ 0.06 %]\n", + "Velocity : 0.00365067 [ 0.30 %]\n", + "Force : 0.455675 [ 37.85 %]\n", + "Coefs : 0.167929 [ 13.95 %]\n", + "Output : 0.00778085 [ 0.65 %]\n", + "Levels : 0.000303144 [ 0.03 %]\n", + "Report : 9.34e-07 [ 0.00 %]\n", + "Balance : 5.89e-07 [ 0.00 %]\n", + "Adjust : 0.567306 [ 47.13 %]\n", + "Total : 1.20379 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7178e-03 sec\n", + "--- Collate = 6.2953e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.840038e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.343317e-02 > 2.000000e-03 [41378]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41378/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.386] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000753066 [ 0.06 %]\n", + "Velocity : 0.0036549 [ 0.31 %]\n", + "Force : 0.446901 [ 37.76 %]\n", + "Coefs : 0.163212 [ 13.79 %]\n", + "Output : 0.0088188 [ 0.75 %]\n", + "Levels : 0.000404448 [ 0.03 %]\n", + "Report : 1.041e-06 [ 0.00 %]\n", + "Balance : 6.69e-07 [ 0.00 %]\n", + "Adjust : 0.559458 [ 47.27 %]\n", + "Total : 1.18362 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.5372e-03 sec\n", + "--- Collate = 5.6106e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.409510e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.343320e-02 > 2.000000e-03 [41380]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41380/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.388] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000874373 [ 0.07 %]\n", + "Velocity : 0.00390957 [ 0.33 %]\n", + "Force : 0.458144 [ 38.14 %]\n", + "Coefs : 0.165656 [ 13.79 %]\n", + "Output : 0.00907524 [ 0.76 %]\n", + "Levels : 0.000294232 [ 0.02 %]\n", + "Report : 8.46e-07 [ 0.00 %]\n", + "Balance : 3.04e-07 [ 0.00 %]\n", + "Adjust : 0.562809 [ 46.85 %]\n", + "Total : 1.2012 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.5012e-03 sec\n", + "--- Collate = 6.0071e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.679707e-06 < 7.812500e-06 [4]\n", + "--- Max DT=2.343547e-02 > 2.000000e-03 [41372]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 4/20000\n", + " Component | high: 41372/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.39] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000745942 [ 0.06 %]\n", + "Velocity : 0.00347176 [ 0.29 %]\n", + "Force : 0.450928 [ 37.83 %]\n", + "Coefs : 0.16651 [ 13.97 %]\n", + "Output : 0.00794213 [ 0.67 %]\n", + "Levels : 0.000298142 [ 0.03 %]\n", + "Report : 1.203e-06 [ 0.00 %]\n", + "Balance : 6.31e-07 [ 0.00 %]\n", + "Adjust : 0.561719 [ 47.12 %]\n", + "Total : 1.19203 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.5791e-03 sec\n", + "--- Collate = 6.3831e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.358997e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.343669e-02 > 2.000000e-03 [41390]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41390/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.392] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000742796 [ 0.06 %]\n", + "Velocity : 0.00339628 [ 0.28 %]\n", + "Force : 0.454913 [ 38.04 %]\n", + "Coefs : 0.165057 [ 13.80 %]\n", + "Output : 0.00742066 [ 0.62 %]\n", + "Levels : 0.000289322 [ 0.02 %]\n", + "Report : 1.269e-06 [ 0.00 %]\n", + "Balance : 4.71e-07 [ 0.00 %]\n", + "Adjust : 0.563579 [ 47.13 %]\n", + "Total : 1.19577 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.8056e-03 sec\n", + "--- Collate = 5.8531e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.344172e-02 > 2.000000e-03 [41409]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41409/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.394] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00078136 [ 0.07 %]\n", + "Velocity : 0.0035494 [ 0.30 %]\n", + "Force : 0.452977 [ 37.92 %]\n", + "Coefs : 0.166753 [ 13.96 %]\n", + "Output : 0.00748719 [ 0.63 %]\n", + "Levels : 0.000424735 [ 0.04 %]\n", + "Report : 9.01e-07 [ 0.00 %]\n", + "Balance : 4.24e-07 [ 0.00 %]\n", + "Adjust : 0.562282 [ 47.07 %]\n", + "Total : 1.19463 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.6452e-03 sec\n", + "--- Collate = 5.9713e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.344596e-02 > 2.000000e-03 [41409]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41409/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.396] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00076944 [ 0.06 %]\n", + "Velocity : 0.0034233 [ 0.28 %]\n", + "Force : 0.457849 [ 38.01 %]\n", + "Coefs : 0.165776 [ 13.76 %]\n", + "Output : 0.00754864 [ 0.63 %]\n", + "Levels : 0.000426783 [ 0.04 %]\n", + "Report : 7.69e-07 [ 0.00 %]\n", + "Balance : 5.92e-07 [ 0.00 %]\n", + "Adjust : 0.568214 [ 47.18 %]\n", + "Total : 1.20439 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.2955e-03 sec\n", + "--- Collate = 6.1150e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.344353e-02 > 2.000000e-03 [41400]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41400/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.398] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000770639 [ 0.06 %]\n", + "Velocity : 0.0033304 [ 0.28 %]\n", + "Force : 0.452647 [ 37.82 %]\n", + "Coefs : 0.167161 [ 13.97 %]\n", + "Output : 0.00771162 [ 0.64 %]\n", + "Levels : 0.000296151 [ 0.02 %]\n", + "Report : 1.368e-06 [ 0.00 %]\n", + "Balance : 5.95e-07 [ 0.00 %]\n", + "Adjust : 0.564565 [ 47.17 %]\n", + "Total : 1.19687 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.1%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.4349e-03 sec\n", + "--- Collate = 5.8464e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.424903e-06 < 7.812500e-06 [4]\n", + "--- Max DT=2.343814e-02 > 2.000000e-03 [41400]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 4/20000\n", + " Component | high: 41400/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.4] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000818425 [ 0.06 %]\n", + "Velocity : 0.00338888 [ 0.25 %]\n", + "Force : 0.465324 [ 34.11 %]\n", + "Coefs : 0.167254 [ 12.26 %]\n", + "Output : 0.163953 [ 12.02 %]\n", + "Levels : 0.000405482 [ 0.03 %]\n", + "Report : 7.48e-07 [ 0.00 %]\n", + "Balance : 4.34e-07 [ 0.00 %]\n", + "Adjust : 0.562514 [ 41.24 %]\n", + "Total : 1.36404 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.5120e-03 sec\n", + "--- Collate = 5.6673e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.711652e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.343779e-02 > 2.000000e-03 [41399]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41399/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.402] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000882826 [ 0.07 %]\n", + "Velocity : 0.00368746 [ 0.31 %]\n", + "Force : 0.453751 [ 38.10 %]\n", + "Coefs : 0.164936 [ 13.85 %]\n", + "Output : 0.00740151 [ 0.62 %]\n", + "Levels : 0.000318473 [ 0.03 %]\n", + "Report : 9.13e-07 [ 0.00 %]\n", + "Balance : 6.16e-07 [ 0.00 %]\n", + "Adjust : 0.559463 [ 46.98 %]\n", + "Total : 1.19081 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.3761e-03 sec\n", + "--- Collate = 5.5848e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.195991e-06 < 7.812500e-06 [4]\n", + "--- Max DT=2.343461e-02 > 2.000000e-03 [41406]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 4/20000\n", + " Component | high: 41406/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.404] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00077027 [ 0.06 %]\n", + "Velocity : 0.00358217 [ 0.30 %]\n", + "Force : 0.459222 [ 38.31 %]\n", + "Coefs : 0.167209 [ 13.95 %]\n", + "Output : 0.00729098 [ 0.61 %]\n", + "Levels : 0.000282919 [ 0.02 %]\n", + "Report : 9.87e-07 [ 0.00 %]\n", + "Balance : 5.97e-07 [ 0.00 %]\n", + "Adjust : 0.559913 [ 46.71 %]\n", + "Total : 1.19867 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6604e-03 sec\n", + "--- Collate = 6.4390e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.222365e-06 < 7.812500e-06 [4]\n", + "--- Max DT=2.343478e-02 > 2.000000e-03 [41425]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 4/20000\n", + " Component | high: 41425/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.406] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000707639 [ 0.06 %]\n", + "Velocity : 0.00354343 [ 0.29 %]\n", + "Force : 0.461286 [ 38.34 %]\n", + "Coefs : 0.16624 [ 13.82 %]\n", + "Output : 0.00724032 [ 0.60 %]\n", + "Levels : 0.000352207 [ 0.03 %]\n", + "Report : 1.056e-06 [ 0.00 %]\n", + "Balance : 5.51e-07 [ 0.00 %]\n", + "Adjust : 0.563368 [ 46.83 %]\n", + "Total : 1.20311 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7075e-03 sec\n", + "--- Collate = 6.9658e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.960628e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.343753e-02 > 2.000000e-03 [41418]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41418/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.408] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000821335 [ 0.07 %]\n", + "Velocity : 0.00387032 [ 0.32 %]\n", + "Force : 0.462302 [ 38.08 %]\n", + "Coefs : 0.168147 [ 13.85 %]\n", + "Output : 0.0083978 [ 0.69 %]\n", + "Levels : 0.000322314 [ 0.03 %]\n", + "Report : 1.156e-06 [ 0.00 %]\n", + "Balance : 4.29e-07 [ 0.00 %]\n", + "Adjust : 0.569719 [ 46.93 %]\n", + "Total : 1.21399 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.7651e-03 sec\n", + "--- Collate = 6.5406e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.343877e-02 > 2.000000e-03 [41414]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41414/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.41] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000762299 [ 0.06 %]\n", + "Velocity : 0.00359905 [ 0.30 %]\n", + "Force : 0.44845 [ 37.76 %]\n", + "Coefs : 0.165744 [ 13.96 %]\n", + "Output : 0.00794194 [ 0.67 %]\n", + "Levels : 0.00031168 [ 0.03 %]\n", + "Report : 1.316e-06 [ 0.00 %]\n", + "Balance : 4.99e-07 [ 0.00 %]\n", + "Adjust : 0.560428 [ 47.19 %]\n", + "Total : 1.18762 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.3907e-03 sec\n", + "--- Collate = 5.4341e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.452071e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.343720e-02 > 2.000000e-03 [41436]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41436/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.412] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000786605 [ 0.06 %]\n", + "Velocity : 0.0037571 [ 0.31 %]\n", + "Force : 0.46646 [ 38.03 %]\n", + "Coefs : 0.168411 [ 13.73 %]\n", + "Output : 0.0163923 [ 1.34 %]\n", + "Levels : 0.000364422 [ 0.03 %]\n", + "Report : 1.739e-06 [ 0.00 %]\n", + "Balance : 5.62e-07 [ 0.00 %]\n", + "Adjust : 0.569874 [ 46.47 %]\n", + "Total : 1.22644 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.4968e-03 sec\n", + "--- Collate = 5.6057e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.596311e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.343891e-02 > 2.000000e-03 [41456]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41456/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.414] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000955637 [ 0.08 %]\n", + "Velocity : 0.00419157 [ 0.34 %]\n", + "Force : 0.460528 [ 37.72 %]\n", + "Coefs : 0.166542 [ 13.64 %]\n", + "Output : 0.00803001 [ 0.66 %]\n", + "Levels : 0.000318565 [ 0.03 %]\n", + "Report : 9.62e-07 [ 0.00 %]\n", + "Balance : 6.14e-07 [ 0.00 %]\n", + "Adjust : 0.580093 [ 47.51 %]\n", + "Total : 1.22102 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.5074e-03 sec\n", + "--- Collate = 7.6279e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.493291e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.344142e-02 > 2.000000e-03 [41472]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41472/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.416] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000777313 [ 0.07 %]\n", + "Velocity : 0.00363036 [ 0.30 %]\n", + "Force : 0.450354 [ 37.72 %]\n", + "Coefs : 0.165007 [ 13.82 %]\n", + "Output : 0.0077962 [ 0.65 %]\n", + "Levels : 0.000267648 [ 0.02 %]\n", + "Report : 1.043e-06 [ 0.00 %]\n", + "Balance : 4.55e-07 [ 0.00 %]\n", + "Adjust : 0.56576 [ 47.39 %]\n", + "Total : 1.19395 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.3754e-03 sec\n", + "--- Collate = 5.4852e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.344271e-02 > 2.000000e-03 [41471]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41471/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.418] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000714685 [ 0.06 %]\n", + "Velocity : 0.00345605 [ 0.29 %]\n", + "Force : 0.442285 [ 37.57 %]\n", + "Coefs : 0.16226 [ 13.78 %]\n", + "Output : 0.00738544 [ 0.63 %]\n", + "Levels : 0.000317744 [ 0.03 %]\n", + "Report : 1.032e-06 [ 0.00 %]\n", + "Balance : 4.27e-07 [ 0.00 %]\n", + "Adjust : 0.560462 [ 47.61 %]\n", + "Total : 1.17723 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.0%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.4831e-03 sec\n", + "--- Collate = 5.3064e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.594498e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.344181e-02 > 2.000000e-03 [41474]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41474/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.42] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000728753 [ 0.06 %]\n", + "Velocity : 0.00354529 [ 0.28 %]\n", + "Force : 0.459692 [ 35.97 %]\n", + "Coefs : 0.167089 [ 13.08 %]\n", + "Output : 0.0820543 [ 6.42 %]\n", + "Levels : 0.000277116 [ 0.02 %]\n", + "Report : 7.91e-07 [ 0.00 %]\n", + "Balance : 3.6e-07 [ 0.00 %]\n", + "Adjust : 0.564107 [ 44.14 %]\n", + "Total : 1.27786 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.5094e-03 sec\n", + "--- Collate = 5.3750e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.517062e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.343651e-02 > 2.000000e-03 [41480]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41480/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.422] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00074846 [ 0.06 %]\n", + "Velocity : 0.00362904 [ 0.30 %]\n", + "Force : 0.458609 [ 38.18 %]\n", + "Coefs : 0.166328 [ 13.85 %]\n", + "Output : 0.00787669 [ 0.66 %]\n", + "Levels : 0.000333601 [ 0.03 %]\n", + "Report : 7.05e-07 [ 0.00 %]\n", + "Balance : 5.31e-07 [ 0.00 %]\n", + "Adjust : 0.563174 [ 46.89 %]\n", + "Total : 1.20106 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6463e-03 sec\n", + "--- Collate = 8.6625e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.343250e-02 > 2.000000e-03 [41475]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41475/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.424] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000733449 [ 0.06 %]\n", + "Velocity : 0.0035218 [ 0.29 %]\n", + "Force : 0.473298 [ 38.63 %]\n", + "Coefs : 0.170169 [ 13.89 %]\n", + "Output : 0.00793842 [ 0.65 %]\n", + "Levels : 0.000292059 [ 0.02 %]\n", + "Report : 8.69e-07 [ 0.00 %]\n", + "Balance : 4.83e-07 [ 0.00 %]\n", + "Adjust : 0.568996 [ 46.44 %]\n", + "Total : 1.22532 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.4446e-03 sec\n", + "--- Collate = 5.7098e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.370856e-06 < 7.812500e-06 [4]\n", + "--- Max DT=2.342987e-02 > 2.000000e-03 [41469]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 4/20000\n", + " Component | high: 41469/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.426] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000728138 [ 0.06 %]\n", + "Velocity : 0.00349212 [ 0.29 %]\n", + "Force : 0.461909 [ 38.17 %]\n", + "Coefs : 0.167716 [ 13.86 %]\n", + "Output : 0.00796713 [ 0.66 %]\n", + "Levels : 0.000262337 [ 0.02 %]\n", + "Report : 9.86e-07 [ 0.00 %]\n", + "Balance : 3.09e-07 [ 0.00 %]\n", + "Adjust : 0.567573 [ 46.91 %]\n", + "Total : 1.21001 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.5010e-03 sec\n", + "--- Collate = 5.4414e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.010449e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.342197e-02 > 2.000000e-03 [41487]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41487/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.428] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000729635 [ 0.06 %]\n", + "Velocity : 0.00364109 [ 0.30 %]\n", + "Force : 0.455762 [ 37.92 %]\n", + "Coefs : 0.166945 [ 13.89 %]\n", + "Output : 0.00834554 [ 0.69 %]\n", + "Levels : 0.000302898 [ 0.03 %]\n", + "Report : 1.18e-06 [ 0.00 %]\n", + "Balance : 6.06e-07 [ 0.00 %]\n", + "Adjust : 0.56583 [ 47.08 %]\n", + "Total : 1.20193 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6694e-03 sec\n", + "--- Collate = 5.4178e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.092845e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.341579e-02 > 2.000000e-03 [41485]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41485/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.43] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000720422 [ 0.06 %]\n", + "Velocity : 0.00342608 [ 0.29 %]\n", + "Force : 0.451703 [ 37.94 %]\n", + "Coefs : 0.165632 [ 13.91 %]\n", + "Output : 0.00764372 [ 0.64 %]\n", + "Levels : 0.000288372 [ 0.02 %]\n", + "Report : 9.77e-07 [ 0.00 %]\n", + "Balance : 3.26e-07 [ 0.00 %]\n", + "Adjust : 0.560706 [ 47.10 %]\n", + "Total : 1.19051 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.0%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.6472e-03 sec\n", + "--- Collate = 6.0789e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.856640e-07 < 7.812500e-06 [2]\n", + "--- Max DT=2.341052e-02 > 2.000000e-03 [41482]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41482/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.432] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000727976 [ 0.06 %]\n", + "Velocity : 0.0033832 [ 0.28 %]\n", + "Force : 0.455259 [ 38.04 %]\n", + "Coefs : 0.166843 [ 13.94 %]\n", + "Output : 0.00808841 [ 0.68 %]\n", + "Levels : 0.000429447 [ 0.04 %]\n", + "Report : 1.583e-06 [ 0.00 %]\n", + "Balance : 6.07e-07 [ 0.00 %]\n", + "Adjust : 0.561647 [ 46.93 %]\n", + "Total : 1.19674 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.5331e-03 sec\n", + "--- Collate = 6.0291e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.261900e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.340690e-02 > 2.000000e-03 [41480]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41480/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.434] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000723748 [ 0.06 %]\n", + "Velocity : 0.00354454 [ 0.29 %]\n", + "Force : 0.459219 [ 38.10 %]\n", + "Coefs : 0.168362 [ 13.97 %]\n", + "Output : 0.00777893 [ 0.65 %]\n", + "Levels : 0.000436398 [ 0.04 %]\n", + "Report : 9.39e-07 [ 0.00 %]\n", + "Balance : 4.91e-07 [ 0.00 %]\n", + "Adjust : 0.564971 [ 46.87 %]\n", + "Total : 1.20541 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.6447e-03 sec\n", + "--- Collate = 6.0727e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.125704e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.340698e-02 > 2.000000e-03 [41488]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41488/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.436] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000775053 [ 0.06 %]\n", + "Velocity : 0.00354553 [ 0.29 %]\n", + "Force : 0.475226 [ 38.59 %]\n", + "Coefs : 0.171677 [ 13.94 %]\n", + "Output : 0.00819266 [ 0.67 %]\n", + "Levels : 0.000342678 [ 0.03 %]\n", + "Report : 1.084e-06 [ 0.00 %]\n", + "Balance : 4.85e-07 [ 0.00 %]\n", + "Adjust : 0.57126 [ 46.39 %]\n", + "Total : 1.2314 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.5%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.8328e-03 sec\n", + "--- Collate = 5.3148e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.315693e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.340765e-02 > 2.000000e-03 [41506]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41506/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.438] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000717171 [ 0.06 %]\n", + "Velocity : 0.00352984 [ 0.30 %]\n", + "Force : 0.450932 [ 37.94 %]\n", + "Coefs : 0.166367 [ 14.00 %]\n", + "Output : 0.0075748 [ 0.64 %]\n", + "Levels : 0.000255642 [ 0.02 %]\n", + "Report : 1.177e-06 [ 0.00 %]\n", + "Balance : 3.75e-07 [ 0.00 %]\n", + "Adjust : 0.558917 [ 47.02 %]\n", + "Total : 1.18866 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.5032e-03 sec\n", + "--- Collate = 5.1709e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.239110e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.341194e-02 > 2.000000e-03 [41473]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41473/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.44] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000745232 [ 0.06 %]\n", + "Velocity : 0.00356889 [ 0.28 %]\n", + "Force : 0.452536 [ 35.58 %]\n", + "Coefs : 0.166177 [ 13.06 %]\n", + "Output : 0.0851412 [ 6.69 %]\n", + "Levels : 0.000326804 [ 0.03 %]\n", + "Report : 9.65e-07 [ 0.00 %]\n", + "Balance : 4.02e-07 [ 0.00 %]\n", + "Adjust : 0.563135 [ 44.27 %]\n", + "Total : 1.27199 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.5741e-03 sec\n", + "--- Collate = 5.3707e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.835669e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.341661e-02 > 2.000000e-03 [41479]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41479/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.442] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000741649 [ 0.06 %]\n", + "Velocity : 0.00356913 [ 0.30 %]\n", + "Force : 0.454842 [ 38.01 %]\n", + "Coefs : 0.16671 [ 13.93 %]\n", + "Output : 0.00747869 [ 0.62 %]\n", + "Levels : 0.000277963 [ 0.02 %]\n", + "Report : 1.008e-06 [ 0.00 %]\n", + "Balance : 3.65e-07 [ 0.00 %]\n", + "Adjust : 0.562766 [ 47.02 %]\n", + "Total : 1.19674 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7945e-03 sec\n", + "--- Collate = 5.5492e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.226878e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.341594e-02 > 2.000000e-03 [41488]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41487/60000\n", + " Component | high: 1/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.444] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000691134 [ 0.06 %]\n", + "Velocity : 0.00339266 [ 0.28 %]\n", + "Force : 0.457952 [ 37.87 %]\n", + "Coefs : 0.167477 [ 13.85 %]\n", + "Output : 0.008673 [ 0.72 %]\n", + "Levels : 0.00873351 [ 0.72 %]\n", + "Report : 1.242e-06 [ 0.00 %]\n", + "Balance : 4.84e-07 [ 0.00 %]\n", + "Adjust : 0.561885 [ 46.47 %]\n", + "Total : 1.20915 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.1711e-03 sec\n", + "--- Collate = 5.2506e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.458845e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.341203e-02 > 2.000000e-03 [41485]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41485/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.446] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00185133 [ 0.15 %]\n", + "Velocity : 0.0082497 [ 0.66 %]\n", + "Force : 0.472242 [ 37.70 %]\n", + "Coefs : 0.16585 [ 13.24 %]\n", + "Output : 0.0184749 [ 1.48 %]\n", + "Levels : 0.000505819 [ 0.04 %]\n", + "Report : 1.225e-06 [ 0.00 %]\n", + "Balance : 4.11e-07 [ 0.00 %]\n", + "Adjust : 0.584746 [ 46.69 %]\n", + "Total : 1.25251 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 7.6122e-03 sec\n", + "--- Collate = 7.3990e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.530638e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.340519e-02 > 2.000000e-03 [41482]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41482/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.448] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00164101 [ 0.13 %]\n", + "Velocity : 0.00658831 [ 0.53 %]\n", + "Force : 0.463847 [ 37.47 %]\n", + "Coefs : 0.165006 [ 13.33 %]\n", + "Output : 0.0152078 [ 1.23 %]\n", + "Levels : 0.000321891 [ 0.03 %]\n", + "Report : 1.358e-06 [ 0.00 %]\n", + "Balance : 6.2e-07 [ 0.00 %]\n", + "Adjust : 0.584796 [ 47.24 %]\n", + "Total : 1.23795 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.4010e-03 sec\n", + "--- Collate = 6.8980e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.339601e-02 > 2.000000e-03 [41481]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41481/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.45] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000783936 [ 0.06 %]\n", + "Velocity : 0.00357825 [ 0.29 %]\n", + "Force : 0.468367 [ 38.14 %]\n", + "Coefs : 0.168618 [ 13.73 %]\n", + "Output : 0.00747725 [ 0.61 %]\n", + "Levels : 0.000315322 [ 0.03 %]\n", + "Report : 9.86e-07 [ 0.00 %]\n", + "Balance : 4.9e-07 [ 0.00 %]\n", + "Adjust : 0.578392 [ 47.10 %]\n", + "Total : 1.2279 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.5950e-03 sec\n", + "--- Collate = 7.7705e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.618012e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.339655e-02 > 2.000000e-03 [41461]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41461/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.452] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000753222 [ 0.06 %]\n", + "Velocity : 0.00353271 [ 0.29 %]\n", + "Force : 0.464277 [ 38.24 %]\n", + "Coefs : 0.168205 [ 13.86 %]\n", + "Output : 0.00740064 [ 0.61 %]\n", + "Levels : 0.000326809 [ 0.03 %]\n", + "Report : 8.13e-07 [ 0.00 %]\n", + "Balance : 3.9e-07 [ 0.00 %]\n", + "Adjust : 0.5691 [ 46.88 %]\n", + "Total : 1.21399 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info in comp, mlevel=4--------------------------------------\n", + "----------------------------------------------------------------------\n", + " COM: 3.441416e-03\n", + " Position: 7.215723e+00\n", + " --------------------------------------------------\n", + " *** fix pos : 7.037287e+00 \n", + " --------------------------------------------------\n", + " Ang mom: 5.642925e+00\n", + " Zero: 9.780921e-01\n", + " Accel: 6.336738e+01\n", + " Interaction: 1.481445e+01\n", + " --------------------------------------------------\n", + " *** dark halo <=> star disk : 7.959576e+00\n", + " *** star disk <=> dark halo : 6.797461e+00\n", + " --------------------------------------------------\n", + " External: 1.919874e-02\n", + " Expand: 3.974923e+01\n", + " Force: 6.459867e+01\n", + " Elapsed: 3.000058e+02\n", + "----------------------------------------------------------------------\n", + "\n", + "mstep/Mstep=80/256\n", + "0 |229 1 |226 2 |453 3 |905 4 |1811 \n", + "5 |3621 6 |7242 7 |14484 8 |28968 \n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.9755e-03 sec\n", + "--- Collate = 7.6732e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.262094e-06 < 7.812500e-06 [5]\n", + "--- Max DT=2.339764e-02 > 2.000000e-03 [41449]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 5/20000\n", + " Component | high: 41449/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.454] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000791454 [ 0.07 %]\n", + "Velocity : 0.00372823 [ 0.31 %]\n", + "Force : 0.456171 [ 38.10 %]\n", + "Coefs : 0.165497 [ 13.82 %]\n", + "Output : 0.00735389 [ 0.61 %]\n", + "Levels : 0.000331477 [ 0.03 %]\n", + "Report : 1.131e-06 [ 0.00 %]\n", + "Balance : 3.74e-07 [ 0.00 %]\n", + "Adjust : 0.562936 [ 47.02 %]\n", + "Total : 1.19718 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.5901e-03 sec\n", + "--- Collate = 7.2082e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.339802e-02 > 2.000000e-03 [41434]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41434/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.456] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000715796 [ 0.06 %]\n", + "Velocity : 0.00326366 [ 0.28 %]\n", + "Force : 0.447728 [ 37.77 %]\n", + "Coefs : 0.163576 [ 13.80 %]\n", + "Output : 0.00724359 [ 0.61 %]\n", + "Levels : 0.0003657 [ 0.03 %]\n", + "Report : 1.016e-06 [ 0.00 %]\n", + "Balance : 4.41e-07 [ 0.00 %]\n", + "Adjust : 0.562172 [ 47.42 %]\n", + "Total : 1.18543 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 7.3233e-03 sec\n", + "--- Collate = 7.1842e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.993105e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.339602e-02 > 2.000000e-03 [41456]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41456/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.458] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000728573 [ 0.06 %]\n", + "Velocity : 0.00324801 [ 0.27 %]\n", + "Force : 0.454081 [ 38.17 %]\n", + "Coefs : 0.164278 [ 13.81 %]\n", + "Output : 0.00732847 [ 0.62 %]\n", + "Levels : 0.000293383 [ 0.02 %]\n", + "Report : 1.231e-06 [ 0.00 %]\n", + "Balance : 4.08e-07 [ 0.00 %]\n", + "Adjust : 0.559219 [ 47.01 %]\n", + "Total : 1.18954 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.4345e-03 sec\n", + "--- Collate = 6.6027e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.239588e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.339393e-02 > 2.000000e-03 [41444]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41444/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.46] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000745626 [ 0.06 %]\n", + "Velocity : 0.00332526 [ 0.26 %]\n", + "Force : 0.456564 [ 35.78 %]\n", + "Coefs : 0.16638 [ 13.04 %]\n", + "Output : 0.084771 [ 6.64 %]\n", + "Levels : 0.000265762 [ 0.02 %]\n", + "Report : 7.69e-07 [ 0.00 %]\n", + "Balance : 4.5e-07 [ 0.00 %]\n", + "Adjust : 0.563589 [ 44.17 %]\n", + "Total : 1.276 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.4135e-03 sec\n", + "--- Collate = 6.8849e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.931680e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.339334e-02 > 2.000000e-03 [41439]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41439/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.462] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000801319 [ 0.07 %]\n", + "Velocity : 0.00373154 [ 0.32 %]\n", + "Force : 0.444648 [ 37.65 %]\n", + "Coefs : 0.164159 [ 13.90 %]\n", + "Output : 0.0071413 [ 0.60 %]\n", + "Levels : 0.000313703 [ 0.03 %]\n", + "Report : 1.085e-06 [ 0.00 %]\n", + "Balance : 5.09e-07 [ 0.00 %]\n", + "Adjust : 0.559908 [ 47.41 %]\n", + "Total : 1.18106 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7557e-03 sec\n", + "--- Collate = 7.0380e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.919510e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.339214e-02 > 2.000000e-03 [41460]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41460/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.464] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000741953 [ 0.06 %]\n", + "Velocity : 0.00366759 [ 0.31 %]\n", + "Force : 0.444256 [ 37.79 %]\n", + "Coefs : 0.162047 [ 13.79 %]\n", + "Output : 0.00709735 [ 0.60 %]\n", + "Levels : 0.000311423 [ 0.03 %]\n", + "Report : 1.17e-06 [ 0.00 %]\n", + "Balance : 4.69e-07 [ 0.00 %]\n", + "Adjust : 0.55696 [ 47.38 %]\n", + "Total : 1.17545 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.5543e-03 sec\n", + "--- Collate = 7.1567e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.339551e-02 > 2.000000e-03 [41466]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41466/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.466] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00071078 [ 0.06 %]\n", + "Velocity : 0.00347433 [ 0.29 %]\n", + "Force : 0.456106 [ 37.99 %]\n", + "Coefs : 0.166126 [ 13.84 %]\n", + "Output : 0.00738939 [ 0.62 %]\n", + "Levels : 0.000267461 [ 0.02 %]\n", + "Report : 1.09e-06 [ 0.00 %]\n", + "Balance : 4.03e-07 [ 0.00 %]\n", + "Adjust : 0.566006 [ 47.15 %]\n", + "Total : 1.20047 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.5300e-03 sec\n", + "--- Collate = 6.9452e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.339702e-02 > 2.000000e-03 [41460]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41460/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.468] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000754496 [ 0.06 %]\n", + "Velocity : 0.00362529 [ 0.30 %]\n", + "Force : 0.456636 [ 38.07 %]\n", + "Coefs : 0.167231 [ 13.94 %]\n", + "Output : 0.00715032 [ 0.60 %]\n", + "Levels : 0.000342762 [ 0.03 %]\n", + "Report : 1.169e-06 [ 0.00 %]\n", + "Balance : 4.62e-07 [ 0.00 %]\n", + "Adjust : 0.563468 [ 46.97 %]\n", + "Total : 1.19959 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.8%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.5529e-03 sec\n", + "--- Collate = 6.8906e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.389326e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.339708e-02 > 2.000000e-03 [41463]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41463/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.47] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000708608 [ 0.06 %]\n", + "Velocity : 0.00324505 [ 0.27 %]\n", + "Force : 0.453207 [ 38.01 %]\n", + "Coefs : 0.164726 [ 13.81 %]\n", + "Output : 0.00742764 [ 0.62 %]\n", + "Levels : 0.000287878 [ 0.02 %]\n", + "Report : 1.287e-06 [ 0.00 %]\n", + "Balance : 5.32e-07 [ 0.00 %]\n", + "Adjust : 0.562432 [ 47.17 %]\n", + "Total : 1.19242 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.7933e-03 sec\n", + "--- Collate = 7.2218e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.746534e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.339123e-02 > 2.000000e-03 [41475]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41475/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.472] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000742906 [ 0.06 %]\n", + "Velocity : 0.00329471 [ 0.28 %]\n", + "Force : 0.451879 [ 37.90 %]\n", + "Coefs : 0.166539 [ 13.97 %]\n", + "Output : 0.00750824 [ 0.63 %]\n", + "Levels : 0.000342618 [ 0.03 %]\n", + "Report : 1.35e-06 [ 0.00 %]\n", + "Balance : 5e-07 [ 0.00 %]\n", + "Adjust : 0.561727 [ 47.11 %]\n", + "Total : 1.19241 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.5942e-03 sec\n", + "--- Collate = 7.2043e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.705411e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.338609e-02 > 2.000000e-03 [41468]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41468/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.474] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000768331 [ 0.06 %]\n", + "Velocity : 0.00359136 [ 0.30 %]\n", + "Force : 0.455001 [ 37.85 %]\n", + "Coefs : 0.167464 [ 13.93 %]\n", + "Output : 0.00763705 [ 0.64 %]\n", + "Levels : 0.000297278 [ 0.02 %]\n", + "Report : 1.124e-06 [ 0.00 %]\n", + "Balance : 6.52e-07 [ 0.00 %]\n", + "Adjust : 0.566842 [ 47.16 %]\n", + "Total : 1.20199 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.8%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.8388e-03 sec\n", + "--- Collate = 7.9210e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.531857e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.338315e-02 > 2.000000e-03 [41484]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41484/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.476] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000715379 [ 0.06 %]\n", + "Velocity : 0.00326776 [ 0.27 %]\n", + "Force : 0.455209 [ 38.08 %]\n", + "Coefs : 0.165879 [ 13.88 %]\n", + "Output : 0.00733029 [ 0.61 %]\n", + "Levels : 0.000278649 [ 0.02 %]\n", + "Report : 1.118e-06 [ 0.00 %]\n", + "Balance : 5.97e-07 [ 0.00 %]\n", + "Adjust : 0.562223 [ 47.04 %]\n", + "Total : 1.19529 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.4642e-03 sec\n", + "--- Collate = 8.1228e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.095956e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.338649e-02 > 2.000000e-03 [41458]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41458/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.478] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000761416 [ 0.06 %]\n", + "Velocity : 0.00342356 [ 0.29 %]\n", + "Force : 0.456603 [ 38.26 %]\n", + "Coefs : 0.165845 [ 13.90 %]\n", + "Output : 0.00731815 [ 0.61 %]\n", + "Levels : 0.000291382 [ 0.02 %]\n", + "Report : 1.213e-06 [ 0.00 %]\n", + "Balance : 5.94e-07 [ 0.00 %]\n", + "Adjust : 0.558814 [ 46.82 %]\n", + "Total : 1.19343 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.5721e-03 sec\n", + "--- Collate = 6.5194e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.188799e-06 < 7.812500e-06 [4]\n", + "--- Max DT=2.338798e-02 > 2.000000e-03 [41458]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 4/20000\n", + " Component | high: 41458/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.48] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000781229 [ 0.06 %]\n", + "Velocity : 0.00362638 [ 0.28 %]\n", + "Force : 0.458668 [ 35.75 %]\n", + "Coefs : 0.166912 [ 13.01 %]\n", + "Output : 0.0858669 [ 6.69 %]\n", + "Levels : 0.000297521 [ 0.02 %]\n", + "Report : 9.56e-07 [ 0.00 %]\n", + "Balance : 4.15e-07 [ 0.00 %]\n", + "Adjust : 0.566578 [ 44.16 %]\n", + "Total : 1.28312 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.7%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.4681e-03 sec\n", + "--- Collate = 7.7711e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.749405e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.337845e-02 > 2.000000e-03 [41438]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41438/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.482] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00077943 [ 0.06 %]\n", + "Velocity : 0.00365672 [ 0.30 %]\n", + "Force : 0.462401 [ 38.42 %]\n", + "Coefs : 0.168029 [ 13.96 %]\n", + "Output : 0.00742833 [ 0.62 %]\n", + "Levels : 0.000255798 [ 0.02 %]\n", + "Report : 1.411e-06 [ 0.00 %]\n", + "Balance : 5.81e-07 [ 0.00 %]\n", + "Adjust : 0.560539 [ 46.58 %]\n", + "Total : 1.20346 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.9097e-03 sec\n", + "--- Collate = 6.1175e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.500073e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.337105e-02 > 2.000000e-03 [41444]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41444/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.484] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000733014 [ 0.06 %]\n", + "Velocity : 0.00355003 [ 0.29 %]\n", + "Force : 0.462502 [ 38.30 %]\n", + "Coefs : 0.168621 [ 13.96 %]\n", + "Output : 0.00730192 [ 0.60 %]\n", + "Levels : 0.000314802 [ 0.03 %]\n", + "Report : 1.091e-06 [ 0.00 %]\n", + "Balance : 5.95e-07 [ 0.00 %]\n", + "Adjust : 0.564254 [ 46.72 %]\n", + "Total : 1.20765 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.7847e-03 sec\n", + "--- Collate = 6.1716e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.424235e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.336891e-02 > 2.000000e-03 [41419]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41419/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.486] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000788585 [ 0.07 %]\n", + "Velocity : 0.0036782 [ 0.30 %]\n", + "Force : 0.46646 [ 38.48 %]\n", + "Coefs : 0.168919 [ 13.93 %]\n", + "Output : 0.00724245 [ 0.60 %]\n", + "Levels : 0.000360629 [ 0.03 %]\n", + "Report : 9.25e-07 [ 0.00 %]\n", + "Balance : 5.47e-07 [ 0.00 %]\n", + "Adjust : 0.564546 [ 46.57 %]\n", + "Total : 1.21236 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.4565e-03 sec\n", + "--- Collate = 8.0684e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.152702e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.336594e-02 > 2.000000e-03 [41438]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41438/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.488] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000731283 [ 0.06 %]\n", + "Velocity : 0.00346397 [ 0.29 %]\n", + "Force : 0.465077 [ 38.62 %]\n", + "Coefs : 0.168711 [ 14.01 %]\n", + "Output : 0.00792296 [ 0.66 %]\n", + "Levels : 0.000270854 [ 0.02 %]\n", + "Report : 1.121e-06 [ 0.00 %]\n", + "Balance : 5.31e-07 [ 0.00 %]\n", + "Adjust : 0.557728 [ 46.31 %]\n", + "Total : 1.20427 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6854e-03 sec\n", + "--- Collate = 6.2453e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.318810e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.336128e-02 > 2.000000e-03 [41430]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41430/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.49] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000763812 [ 0.06 %]\n", + "Velocity : 0.00334779 [ 0.28 %]\n", + "Force : 0.460951 [ 38.43 %]\n", + "Coefs : 0.167718 [ 13.98 %]\n", + "Output : 0.00738235 [ 0.62 %]\n", + "Levels : 0.000304087 [ 0.03 %]\n", + "Report : 1.104e-06 [ 0.00 %]\n", + "Balance : 5.19e-07 [ 0.00 %]\n", + "Adjust : 0.558733 [ 46.58 %]\n", + "Total : 1.19958 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.5251e-03 sec\n", + "--- Collate = 6.3602e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.336059e-02 > 2.000000e-03 [41448]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41448/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.492] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000853187 [ 0.07 %]\n", + "Velocity : 0.00381409 [ 0.31 %]\n", + "Force : 0.461789 [ 37.99 %]\n", + "Coefs : 0.169928 [ 13.98 %]\n", + "Output : 0.00869791 [ 0.72 %]\n", + "Levels : 0.000386984 [ 0.03 %]\n", + "Report : 1.013e-06 [ 0.00 %]\n", + "Balance : 6.02e-07 [ 0.00 %]\n", + "Adjust : 0.569587 [ 46.86 %]\n", + "Total : 1.21547 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.3144e-03 sec\n", + "--- Collate = 5.5762e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.694555e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.336314e-02 > 2.000000e-03 [41456]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41456/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.494] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000838014 [ 0.07 %]\n", + "Velocity : 0.00364558 [ 0.30 %]\n", + "Force : 0.456854 [ 38.22 %]\n", + "Coefs : 0.164363 [ 13.75 %]\n", + "Output : 0.0158114 [ 1.32 %]\n", + "Levels : 0.000301749 [ 0.03 %]\n", + "Report : 9.38e-07 [ 0.00 %]\n", + "Balance : 5.34e-07 [ 0.00 %]\n", + "Adjust : 0.55314 [ 46.27 %]\n", + "Total : 1.19533 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.4807e-03 sec\n", + "--- Collate = 8.1752e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.824113e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.336015e-02 > 2.000000e-03 [41487]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41487/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.496] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000827087 [ 0.07 %]\n", + "Velocity : 0.00370594 [ 0.31 %]\n", + "Force : 0.458109 [ 38.29 %]\n", + "Coefs : 0.165456 [ 13.83 %]\n", + "Output : 0.00842641 [ 0.70 %]\n", + "Levels : 0.000350095 [ 0.03 %]\n", + "Report : 1.532e-06 [ 0.00 %]\n", + "Balance : 6.25e-07 [ 0.00 %]\n", + "Adjust : 0.559173 [ 46.74 %]\n", + "Total : 1.19644 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.3817e-03 sec\n", + "--- Collate = 5.4636e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.336298e-02 > 2.000000e-03 [41484]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41484/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.498] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000829056 [ 0.07 %]\n", + "Velocity : 0.00372154 [ 0.31 %]\n", + "Force : 0.461627 [ 38.18 %]\n", + "Coefs : 0.168659 [ 13.95 %]\n", + "Output : 0.00778697 [ 0.64 %]\n", + "Levels : 0.000342961 [ 0.03 %]\n", + "Report : 1.275e-06 [ 0.00 %]\n", + "Balance : 5.37e-07 [ 0.00 %]\n", + "Adjust : 0.565792 [ 46.79 %]\n", + "Total : 1.20914 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.5660e-03 sec\n", + "--- Collate = 5.9500e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.532815e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.336280e-02 > 2.000000e-03 [41457]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41457/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.5] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000791211 [ 0.06 %]\n", + "Velocity : 0.00357867 [ 0.28 %]\n", + "Force : 0.458505 [ 35.86 %]\n", + "Coefs : 0.167535 [ 13.10 %]\n", + "Output : 0.0872624 [ 6.83 %]\n", + "Levels : 0.00029319 [ 0.02 %]\n", + "Report : 9.66e-07 [ 0.00 %]\n", + "Balance : 6.13e-07 [ 0.00 %]\n", + "Adjust : 0.560074 [ 43.81 %]\n", + "Total : 1.27844 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.3147e-03 sec\n", + "--- Collate = 5.6977e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.125996e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.336109e-02 > 2.000000e-03 [41472]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41472/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.502] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000812043 [ 0.07 %]\n", + "Velocity : 0.00397089 [ 0.33 %]\n", + "Force : 0.456106 [ 38.20 %]\n", + "Coefs : 0.164073 [ 13.74 %]\n", + "Output : 0.00882155 [ 0.74 %]\n", + "Levels : 0.000320864 [ 0.03 %]\n", + "Report : 1.025e-06 [ 0.00 %]\n", + "Balance : 3.96e-07 [ 0.00 %]\n", + "Adjust : 0.55951 [ 46.86 %]\n", + "Total : 1.19401 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.8%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6931e-03 sec\n", + "--- Collate = 7.0462e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.693661e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.336388e-02 > 2.000000e-03 [41474]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41474/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.504] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000774686 [ 0.06 %]\n", + "Velocity : 0.00364683 [ 0.30 %]\n", + "Force : 0.45679 [ 38.03 %]\n", + "Coefs : 0.16731 [ 13.93 %]\n", + "Output : 0.00794168 [ 0.66 %]\n", + "Levels : 0.000360388 [ 0.03 %]\n", + "Report : 1.034e-06 [ 0.00 %]\n", + "Balance : 3.79e-07 [ 0.00 %]\n", + "Adjust : 0.563995 [ 46.95 %]\n", + "Total : 1.20121 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.6%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.4363e-03 sec\n", + "--- Collate = 5.4881e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.407486e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.336510e-02 > 2.000000e-03 [41466]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41466/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.506] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000742998 [ 0.06 %]\n", + "Velocity : 0.00328945 [ 0.28 %]\n", + "Force : 0.44785 [ 37.94 %]\n", + "Coefs : 0.163056 [ 13.81 %]\n", + "Output : 0.00765173 [ 0.65 %]\n", + "Levels : 0.000296505 [ 0.03 %]\n", + "Report : 1.149e-06 [ 0.00 %]\n", + "Balance : 5.47e-07 [ 0.00 %]\n", + "Adjust : 0.557069 [ 47.20 %]\n", + "Total : 1.18033 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.0041e-03 sec\n", + "--- Collate = 7.0722e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.336769e-02 > 2.000000e-03 [41459]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41459/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.508] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000914497 [ 0.07 %]\n", + "Velocity : 0.00419705 [ 0.34 %]\n", + "Force : 0.463525 [ 37.97 %]\n", + "Coefs : 0.16612 [ 13.61 %]\n", + "Output : 0.00993902 [ 0.81 %]\n", + "Levels : 0.000492588 [ 0.04 %]\n", + "Report : 1.318e-06 [ 0.00 %]\n", + "Balance : 4.84e-07 [ 0.00 %]\n", + "Adjust : 0.575036 [ 47.11 %]\n", + "Total : 1.22067 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.0717e-03 sec\n", + "--- Collate = 8.2423e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.753063e-07 < 7.812500e-06 [1]\n", + "--- Max DT=2.336893e-02 > 2.000000e-03 [41477]\n", + "----------------------------------------------------------------------\n", + " Component | low: 1/60000\n", + " Component | low: 0/20000\n", + " Component | high: 41477/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.51] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00112223 [ 0.08 %]\n", + "Velocity : 0.00505494 [ 0.38 %]\n", + "Force : 0.513 [ 38.70 %]\n", + "Coefs : 0.179573 [ 13.55 %]\n", + "Output : 0.0116069 [ 0.88 %]\n", + "Levels : 0.000495525 [ 0.04 %]\n", + "Report : 1.632e-06 [ 0.00 %]\n", + "Balance : 6.97e-07 [ 0.00 %]\n", + "Adjust : 0.614265 [ 46.34 %]\n", + "Total : 1.32567 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7451e-03 sec\n", + "--- Collate = 7.3798e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.057200e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.336962e-02 > 2.000000e-03 [41477]\n", + "----------------------------------------------------------------------\n", + " Component | low: 1/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41477/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.512] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000985572 [ 0.08 %]\n", + "Velocity : 0.00442477 [ 0.34 %]\n", + "Force : 0.507012 [ 39.01 %]\n", + "Coefs : 0.177958 [ 13.69 %]\n", + "Output : 0.00946736 [ 0.73 %]\n", + "Levels : 0.000302098 [ 0.02 %]\n", + "Report : 1.439e-06 [ 0.00 %]\n", + "Balance : 5.16e-07 [ 0.00 %]\n", + "Adjust : 0.599126 [ 46.10 %]\n", + "Total : 1.29973 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.0890e-03 sec\n", + "--- Collate = 6.2509e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.041876e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.337034e-02 > 2.000000e-03 [41478]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41478/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.514] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000838526 [ 0.07 %]\n", + "Velocity : 0.00406083 [ 0.33 %]\n", + "Force : 0.47683 [ 38.26 %]\n", + "Coefs : 0.172955 [ 13.88 %]\n", + "Output : 0.00999961 [ 0.80 %]\n", + "Levels : 0.000352279 [ 0.03 %]\n", + "Report : 1.412e-06 [ 0.00 %]\n", + "Balance : 5.03e-07 [ 0.00 %]\n", + "Adjust : 0.580862 [ 46.61 %]\n", + "Total : 1.24632 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.9648e-03 sec\n", + "--- Collate = 6.6115e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.336607e-02 > 2.000000e-03 [41456]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41456/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.516] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000850765 [ 0.07 %]\n", + "Velocity : 0.00365077 [ 0.29 %]\n", + "Force : 0.47256 [ 38.07 %]\n", + "Coefs : 0.17174 [ 13.84 %]\n", + "Output : 0.00886312 [ 0.71 %]\n", + "Levels : 0.000301588 [ 0.02 %]\n", + "Report : 1.246e-06 [ 0.00 %]\n", + "Balance : 5.38e-07 [ 0.00 %]\n", + "Adjust : 0.582909 [ 46.96 %]\n", + "Total : 1.24129 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.7679e-03 sec\n", + "--- Collate = 7.5725e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.366269e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.336108e-02 > 2.000000e-03 [41450]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41450/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.518] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000960195 [ 0.08 %]\n", + "Velocity : 0.00425411 [ 0.34 %]\n", + "Force : 0.488237 [ 38.60 %]\n", + "Coefs : 0.174791 [ 13.82 %]\n", + "Output : 0.0112139 [ 0.89 %]\n", + "Levels : 0.000484616 [ 0.04 %]\n", + "Report : 1.063e-06 [ 0.00 %]\n", + "Balance : 4.86e-07 [ 0.00 %]\n", + "Adjust : 0.584569 [ 46.21 %]\n", + "Total : 1.265 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.5696e-03 sec\n", + "--- Collate = 7.0008e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.258041e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.336330e-02 > 2.000000e-03 [41451]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41451/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.52] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00105863 [ 0.08 %]\n", + "Velocity : 0.00494217 [ 0.37 %]\n", + "Force : 0.475751 [ 35.25 %]\n", + "Coefs : 0.170008 [ 12.60 %]\n", + "Output : 0.12013 [ 8.90 %]\n", + "Levels : 0.000362088 [ 0.03 %]\n", + "Report : 1.081e-06 [ 0.00 %]\n", + "Balance : 5.07e-07 [ 0.00 %]\n", + "Adjust : 0.576961 [ 42.75 %]\n", + "Total : 1.34973 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7280e-03 sec\n", + "--- Collate = 6.2486e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.269375e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.336522e-02 > 2.000000e-03 [41485]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41485/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.522] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000982262 [ 0.08 %]\n", + "Velocity : 0.00437725 [ 0.35 %]\n", + "Force : 0.485757 [ 38.34 %]\n", + "Coefs : 0.172215 [ 13.59 %]\n", + "Output : 0.0101112 [ 0.80 %]\n", + "Levels : 0.000474052 [ 0.04 %]\n", + "Report : 1.117e-06 [ 0.00 %]\n", + "Balance : 5.68e-07 [ 0.00 %]\n", + "Adjust : 0.592471 [ 46.77 %]\n", + "Total : 1.26684 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.6239e-03 sec\n", + "--- Collate = 5.9481e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.730208e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.336777e-02 > 2.000000e-03 [41509]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41509/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.524] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000861349 [ 0.07 %]\n", + "Velocity : 0.00396543 [ 0.32 %]\n", + "Force : 0.485171 [ 38.68 %]\n", + "Coefs : 0.170993 [ 13.63 %]\n", + "Output : 0.00945068 [ 0.75 %]\n", + "Levels : 0.000446603 [ 0.04 %]\n", + "Report : 1.092e-06 [ 0.00 %]\n", + "Balance : 4.48e-07 [ 0.00 %]\n", + "Adjust : 0.583164 [ 46.49 %]\n", + "Total : 1.25447 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.4972e-03 sec\n", + "--- Collate = 5.4750e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.917983e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.336913e-02 > 2.000000e-03 [41514]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41514/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.526] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00075801 [ 0.06 %]\n", + "Velocity : 0.00344571 [ 0.29 %]\n", + "Force : 0.453053 [ 38.15 %]\n", + "Coefs : 0.166647 [ 14.03 %]\n", + "Output : 0.00781007 [ 0.66 %]\n", + "Levels : 0.000358743 [ 0.03 %]\n", + "Report : 1.019e-06 [ 0.00 %]\n", + "Balance : 5.24e-07 [ 0.00 %]\n", + "Adjust : 0.555238 [ 46.75 %]\n", + "Total : 1.1877 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.2%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.8599e-03 sec\n", + "--- Collate = 5.4467e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.528444e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.337041e-02 > 2.000000e-03 [41518]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41518/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.528] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000721902 [ 0.06 %]\n", + "Velocity : 0.00334835 [ 0.28 %]\n", + "Force : 0.455717 [ 38.30 %]\n", + "Coefs : 0.165435 [ 13.90 %]\n", + "Output : 0.00737833 [ 0.62 %]\n", + "Levels : 0.000241225 [ 0.02 %]\n", + "Report : 1.174e-06 [ 0.00 %]\n", + "Balance : 4.48e-07 [ 0.00 %]\n", + "Adjust : 0.556718 [ 46.79 %]\n", + "Total : 1.18992 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.7015e-03 sec\n", + "--- Collate = 6.1790e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.337047e-02 > 2.000000e-03 [41536]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41536/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.53] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000761284 [ 0.06 %]\n", + "Velocity : 0.00333221 [ 0.28 %]\n", + "Force : 0.464551 [ 38.34 %]\n", + "Coefs : 0.168263 [ 13.89 %]\n", + "Output : 0.00764526 [ 0.63 %]\n", + "Levels : 0.000335992 [ 0.03 %]\n", + "Report : 1.028e-06 [ 0.00 %]\n", + "Balance : 5.59e-07 [ 0.00 %]\n", + "Adjust : 0.566234 [ 46.74 %]\n", + "Total : 1.21151 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.8619e-03 sec\n", + "--- Collate = 6.7393e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.545753e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.337226e-02 > 2.000000e-03 [41534]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41534/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.532] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000725851 [ 0.06 %]\n", + "Velocity : 0.00343681 [ 0.29 %]\n", + "Force : 0.461191 [ 38.25 %]\n", + "Coefs : 0.167354 [ 13.88 %]\n", + "Output : 0.00727761 [ 0.60 %]\n", + "Levels : 0.000261645 [ 0.02 %]\n", + "Report : 9.98e-07 [ 0.00 %]\n", + "Balance : 4.42e-07 [ 0.00 %]\n", + "Adjust : 0.565212 [ 46.87 %]\n", + "Total : 1.20583 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.5492e-03 sec\n", + "--- Collate = 5.8910e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.337421e-02 > 2.000000e-03 [41525]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41525/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.534] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000737671 [ 0.06 %]\n", + "Velocity : 0.00352601 [ 0.30 %]\n", + "Force : 0.457546 [ 38.29 %]\n", + "Coefs : 0.167475 [ 14.01 %]\n", + "Output : 0.00738855 [ 0.62 %]\n", + "Levels : 0.000283969 [ 0.02 %]\n", + "Report : 1.203e-06 [ 0.00 %]\n", + "Balance : 5.47e-07 [ 0.00 %]\n", + "Adjust : 0.55771 [ 46.67 %]\n", + "Total : 1.19505 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.3137e-03 sec\n", + "--- Collate = 5.6776e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.522212e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.337292e-02 > 2.000000e-03 [41503]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41503/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.536] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00073606 [ 0.06 %]\n", + "Velocity : 0.0033318 [ 0.28 %]\n", + "Force : 0.46268 [ 38.57 %]\n", + "Coefs : 0.168487 [ 14.04 %]\n", + "Output : 0.00706789 [ 0.59 %]\n", + "Levels : 0.000307447 [ 0.03 %]\n", + "Report : 1.057e-06 [ 0.00 %]\n", + "Balance : 5.45e-07 [ 0.00 %]\n", + "Adjust : 0.556702 [ 46.40 %]\n", + "Total : 1.19968 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.3696e-03 sec\n", + "--- Collate = 5.5271e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.810450e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.336811e-02 > 2.000000e-03 [41513]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41513/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.538] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000746447 [ 0.06 %]\n", + "Velocity : 0.0034518 [ 0.29 %]\n", + "Force : 0.466859 [ 38.60 %]\n", + "Coefs : 0.169232 [ 13.99 %]\n", + "Output : 0.00733566 [ 0.61 %]\n", + "Levels : 0.00028292 [ 0.02 %]\n", + "Report : 9.65e-07 [ 0.00 %]\n", + "Balance : 4.73e-07 [ 0.00 %]\n", + "Adjust : 0.561081 [ 46.39 %]\n", + "Total : 1.20937 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.6193e-03 sec\n", + "--- Collate = 5.6781e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.336311e-02 > 2.000000e-03 [41527]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41527/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.54] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000754455 [ 0.06 %]\n", + "Velocity : 0.00352986 [ 0.27 %]\n", + "Force : 0.471621 [ 36.31 %]\n", + "Coefs : 0.169459 [ 13.05 %]\n", + "Output : 0.090866 [ 7.00 %]\n", + "Levels : 0.000440957 [ 0.03 %]\n", + "Report : 7.87e-07 [ 0.00 %]\n", + "Balance : 4.89e-07 [ 0.00 %]\n", + "Adjust : 0.561968 [ 43.26 %]\n", + "Total : 1.29901 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6213e-03 sec\n", + "--- Collate = 5.7023e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.457693e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.336768e-02 > 2.000000e-03 [41515]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41515/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.542] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00084626 [ 0.07 %]\n", + "Velocity : 0.0040034 [ 0.33 %]\n", + "Force : 0.469476 [ 38.60 %]\n", + "Coefs : 0.169977 [ 13.98 %]\n", + "Output : 0.00747675 [ 0.61 %]\n", + "Levels : 0.00032287 [ 0.03 %]\n", + "Report : 8.54e-07 [ 0.00 %]\n", + "Balance : 5.82e-07 [ 0.00 %]\n", + "Adjust : 0.563731 [ 46.35 %]\n", + "Total : 1.21622 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.3626e-03 sec\n", + "--- Collate = 6.9292e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.336922e-02 > 2.000000e-03 [41513]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41513/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.544] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000747397 [ 0.06 %]\n", + "Velocity : 0.00357935 [ 0.30 %]\n", + "Force : 0.460615 [ 38.58 %]\n", + "Coefs : 0.166395 [ 13.94 %]\n", + "Output : 0.00732756 [ 0.61 %]\n", + "Levels : 0.000275911 [ 0.02 %]\n", + "Report : 1.144e-06 [ 0.00 %]\n", + "Balance : 5.4e-07 [ 0.00 %]\n", + "Adjust : 0.55453 [ 46.45 %]\n", + "Total : 1.19384 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.8978e-03 sec\n", + "--- Collate = 6.7065e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.511576e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.336794e-02 > 2.000000e-03 [41482]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41482/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.546] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000767682 [ 0.06 %]\n", + "Velocity : 0.00351207 [ 0.29 %]\n", + "Force : 0.462032 [ 37.99 %]\n", + "Coefs : 0.169197 [ 13.91 %]\n", + "Output : 0.00760615 [ 0.63 %]\n", + "Levels : 0.000309314 [ 0.03 %]\n", + "Report : 1.033e-06 [ 0.00 %]\n", + "Balance : 4.25e-07 [ 0.00 %]\n", + "Adjust : 0.572456 [ 47.07 %]\n", + "Total : 1.21625 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.5225e-03 sec\n", + "--- Collate = 6.1738e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.009956e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.336529e-02 > 2.000000e-03 [41470]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41470/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.548] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000742131 [ 0.06 %]\n", + "Velocity : 0.00355546 [ 0.29 %]\n", + "Force : 0.471696 [ 38.65 %]\n", + "Coefs : 0.168875 [ 13.84 %]\n", + "Output : 0.0073905 [ 0.61 %]\n", + "Levels : 0.000313624 [ 0.03 %]\n", + "Report : 1.089e-06 [ 0.00 %]\n", + "Balance : 4.07e-07 [ 0.00 %]\n", + "Adjust : 0.567606 [ 46.50 %]\n", + "Total : 1.22055 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.5483e-03 sec\n", + "--- Collate = 5.9917e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.807237e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.336785e-02 > 2.000000e-03 [41449]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41449/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.55] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000753126 [ 0.06 %]\n", + "Velocity : 0.00345602 [ 0.28 %]\n", + "Force : 0.473503 [ 38.71 %]\n", + "Coefs : 0.170906 [ 13.97 %]\n", + "Output : 0.00733123 [ 0.60 %]\n", + "Levels : 0.000341865 [ 0.03 %]\n", + "Report : 1.19e-06 [ 0.00 %]\n", + "Balance : 6.79e-07 [ 0.00 %]\n", + "Adjust : 0.566587 [ 46.32 %]\n", + "Total : 1.22326 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.3339e-03 sec\n", + "--- Collate = 5.3898e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.565149e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.337215e-02 > 2.000000e-03 [41437]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41437/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.552] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000980898 [ 0.08 %]\n", + "Velocity : 0.00419793 [ 0.33 %]\n", + "Force : 0.493609 [ 38.99 %]\n", + "Coefs : 0.17654 [ 13.94 %]\n", + "Output : 0.00897024 [ 0.71 %]\n", + "Levels : 0.000342925 [ 0.03 %]\n", + "Report : 1.255e-06 [ 0.00 %]\n", + "Balance : 5.22e-07 [ 0.00 %]\n", + "Adjust : 0.580947 [ 45.89 %]\n", + "Total : 1.26603 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7710e-03 sec\n", + "--- Collate = 8.3509e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.337793e-02 > 2.000000e-03 [41452]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41452/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.554] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000809129 [ 0.07 %]\n", + "Velocity : 0.00370646 [ 0.31 %]\n", + "Force : 0.453952 [ 38.15 %]\n", + "Coefs : 0.166195 [ 13.97 %]\n", + "Output : 0.00716014 [ 0.60 %]\n", + "Levels : 0.000301953 [ 0.03 %]\n", + "Report : 1.11e-06 [ 0.00 %]\n", + "Balance : 5.92e-07 [ 0.00 %]\n", + "Adjust : 0.557429 [ 46.85 %]\n", + "Total : 1.18991 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.7160e-03 sec\n", + "--- Collate = 6.2131e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.338022e-02 > 2.000000e-03 [41446]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41446/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.556] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000901406 [ 0.07 %]\n", + "Velocity : 0.00414878 [ 0.32 %]\n", + "Force : 0.498059 [ 39.00 %]\n", + "Coefs : 0.176173 [ 13.79 %]\n", + "Output : 0.00910604 [ 0.71 %]\n", + "Levels : 0.000323592 [ 0.03 %]\n", + "Report : 1.136e-06 [ 0.00 %]\n", + "Balance : 4.21e-07 [ 0.00 %]\n", + "Adjust : 0.587962 [ 46.04 %]\n", + "Total : 1.27713 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.8318e-03 sec\n", + "--- Collate = 6.8637e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.745240e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.337810e-02 > 2.000000e-03 [41428]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41428/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.558] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000883074 [ 0.07 %]\n", + "Velocity : 0.00397359 [ 0.31 %]\n", + "Force : 0.495259 [ 38.88 %]\n", + "Coefs : 0.175911 [ 13.81 %]\n", + "Output : 0.008427 [ 0.66 %]\n", + "Levels : 0.00031028 [ 0.02 %]\n", + "Report : 1.155e-06 [ 0.00 %]\n", + "Balance : 5.99e-07 [ 0.00 %]\n", + "Adjust : 0.588554 [ 46.21 %]\n", + "Total : 1.27376 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7663e-03 sec\n", + "--- Collate = 6.0815e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.913174e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.337419e-02 > 2.000000e-03 [41425]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41425/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.56] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000853323 [ 0.06 %]\n", + "Velocity : 0.00411418 [ 0.30 %]\n", + "Force : 0.488827 [ 36.13 %]\n", + "Coefs : 0.1768 [ 13.07 %]\n", + "Output : 0.0931532 [ 6.88 %]\n", + "Levels : 0.000291988 [ 0.02 %]\n", + "Report : 1.629e-06 [ 0.00 %]\n", + "Balance : 3.9e-07 [ 0.00 %]\n", + "Adjust : 0.588564 [ 43.50 %]\n", + "Total : 1.35305 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.8074e-03 sec\n", + "--- Collate = 7.0289e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.337257e-02 > 2.000000e-03 [41423]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41423/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.562] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000890437 [ 0.07 %]\n", + "Velocity : 0.00415142 [ 0.33 %]\n", + "Force : 0.484796 [ 38.39 %]\n", + "Coefs : 0.176334 [ 13.96 %]\n", + "Output : 0.00868094 [ 0.69 %]\n", + "Levels : 0.000314263 [ 0.02 %]\n", + "Report : 1.056e-06 [ 0.00 %]\n", + "Balance : 3.92e-07 [ 0.00 %]\n", + "Adjust : 0.587263 [ 46.50 %]\n", + "Total : 1.26288 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7206e-03 sec\n", + "--- Collate = 5.9327e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.891077e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.337417e-02 > 2.000000e-03 [41415]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41415/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.564] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000898188 [ 0.07 %]\n", + "Velocity : 0.00396342 [ 0.31 %]\n", + "Force : 0.491483 [ 38.60 %]\n", + "Coefs : 0.177345 [ 13.93 %]\n", + "Output : 0.00838848 [ 0.66 %]\n", + "Levels : 0.000298319 [ 0.02 %]\n", + "Report : 1.27e-06 [ 0.00 %]\n", + "Balance : 4.5e-07 [ 0.00 %]\n", + "Adjust : 0.590516 [ 46.38 %]\n", + "Total : 1.27335 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.5896e-03 sec\n", + "--- Collate = 5.7856e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.123682e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.337309e-02 > 2.000000e-03 [41423]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41423/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.566] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000851064 [ 0.07 %]\n", + "Velocity : 0.0039002 [ 0.31 %]\n", + "Force : 0.479133 [ 38.27 %]\n", + "Coefs : 0.173915 [ 13.89 %]\n", + "Output : 0.00866275 [ 0.69 %]\n", + "Levels : 0.000296811 [ 0.02 %]\n", + "Report : 1.172e-06 [ 0.00 %]\n", + "Balance : 5.64e-07 [ 0.00 %]\n", + "Adjust : 0.584861 [ 46.71 %]\n", + "Total : 1.25205 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.7376e-03 sec\n", + "--- Collate = 5.9223e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.834537e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.336896e-02 > 2.000000e-03 [41414]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41414/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.568] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000788439 [ 0.06 %]\n", + "Velocity : 0.00373806 [ 0.30 %]\n", + "Force : 0.471473 [ 38.35 %]\n", + "Coefs : 0.172362 [ 14.02 %]\n", + "Output : 0.00774821 [ 0.63 %]\n", + "Levels : 0.000342778 [ 0.03 %]\n", + "Report : 1.256e-06 [ 0.00 %]\n", + "Balance : 4.23e-07 [ 0.00 %]\n", + "Adjust : 0.572551 [ 46.57 %]\n", + "Total : 1.22939 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.3452e-03 sec\n", + "--- Collate = 5.7316e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.927622e-07 < 7.812500e-06 [2]\n", + "--- Max DT=2.335304e-02 > 2.000000e-03 [41413]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41413/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.57] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000761726 [ 0.06 %]\n", + "Velocity : 0.00334491 [ 0.28 %]\n", + "Force : 0.456436 [ 38.12 %]\n", + "Coefs : 0.168569 [ 14.08 %]\n", + "Output : 0.00700587 [ 0.59 %]\n", + "Levels : 0.000330415 [ 0.03 %]\n", + "Report : 9.07e-07 [ 0.00 %]\n", + "Balance : 3.48e-07 [ 0.00 %]\n", + "Adjust : 0.560409 [ 46.81 %]\n", + "Total : 1.19723 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.8047e-03 sec\n", + "--- Collate = 6.3948e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.885707e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.331482e-02 > 2.000000e-03 [41418]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41418/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.572] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00071977 [ 0.06 %]\n", + "Velocity : 0.00319695 [ 0.27 %]\n", + "Force : 0.458075 [ 38.02 %]\n", + "Coefs : 0.169325 [ 14.06 %]\n", + "Output : 0.0156969 [ 1.30 %]\n", + "Levels : 0.000407431 [ 0.03 %]\n", + "Report : 1.06e-06 [ 0.00 %]\n", + "Balance : 5.58e-07 [ 0.00 %]\n", + "Adjust : 0.556922 [ 46.23 %]\n", + "Total : 1.20473 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7654e-03 sec\n", + "--- Collate = 7.7818e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.076229e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.331916e-02 > 2.000000e-03 [41424]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41424/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.574] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00103653 [ 0.09 %]\n", + "Velocity : 0.00421186 [ 0.35 %]\n", + "Force : 0.466677 [ 38.39 %]\n", + "Coefs : 0.167256 [ 13.76 %]\n", + "Output : 0.00948329 [ 0.78 %]\n", + "Levels : 0.00046432 [ 0.04 %]\n", + "Report : 1.061e-06 [ 0.00 %]\n", + "Balance : 6.18e-07 [ 0.00 %]\n", + "Adjust : 0.56609 [ 46.57 %]\n", + "Total : 1.21566 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7395e-03 sec\n", + "--- Collate = 8.1686e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.899125e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.331779e-02 > 2.000000e-03 [41426]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41426/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.576] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000824133 [ 0.07 %]\n", + "Velocity : 0.00365077 [ 0.30 %]\n", + "Force : 0.457247 [ 37.99 %]\n", + "Coefs : 0.166392 [ 13.83 %]\n", + "Output : 0.00912507 [ 0.76 %]\n", + "Levels : 0.000456954 [ 0.04 %]\n", + "Report : 1.392e-06 [ 0.00 %]\n", + "Balance : 5.89e-07 [ 0.00 %]\n", + "Adjust : 0.565349 [ 46.98 %]\n", + "Total : 1.20344 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6294e-03 sec\n", + "--- Collate = 7.9405e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.177349e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.331656e-02 > 2.000000e-03 [41430]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41430/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.578] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00087965 [ 0.07 %]\n", + "Velocity : 0.0036338 [ 0.30 %]\n", + "Force : 0.472973 [ 38.58 %]\n", + "Coefs : 0.170239 [ 13.88 %]\n", + "Output : 0.00908592 [ 0.74 %]\n", + "Levels : 0.000389203 [ 0.03 %]\n", + "Report : 1.261e-06 [ 0.00 %]\n", + "Balance : 4.17e-07 [ 0.00 %]\n", + "Adjust : 0.568473 [ 46.36 %]\n", + "Total : 1.2261 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6680e-03 sec\n", + "--- Collate = 6.7380e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.957910e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.331826e-02 > 2.000000e-03 [41415]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41415/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.58] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000869558 [ 0.07 %]\n", + "Velocity : 0.00354037 [ 0.28 %]\n", + "Force : 0.46095 [ 35.81 %]\n", + "Coefs : 0.170726 [ 13.26 %]\n", + "Output : 0.0906989 [ 7.05 %]\n", + "Levels : 0.000320245 [ 0.02 %]\n", + "Report : 1.761e-06 [ 0.00 %]\n", + "Balance : 4.14e-07 [ 0.00 %]\n", + "Adjust : 0.559883 [ 43.49 %]\n", + "Total : 1.28737 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.6%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.5204e-03 sec\n", + "--- Collate = 6.5215e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.014736e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.332141e-02 > 2.000000e-03 [41419]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41419/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.582] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000986112 [ 0.08 %]\n", + "Velocity : 0.00390621 [ 0.32 %]\n", + "Force : 0.470418 [ 38.57 %]\n", + "Coefs : 0.171502 [ 14.06 %]\n", + "Output : 0.00744492 [ 0.61 %]\n", + "Levels : 0.000323264 [ 0.03 %]\n", + "Report : 1.176e-06 [ 0.00 %]\n", + "Balance : 6.15e-07 [ 0.00 %]\n", + "Adjust : 0.564713 [ 46.30 %]\n", + "Total : 1.21969 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.8212e-03 sec\n", + "--- Collate = 7.2774e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.326364e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.332230e-02 > 2.000000e-03 [41434]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41434/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.584] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00077403 [ 0.06 %]\n", + "Velocity : 0.00344751 [ 0.28 %]\n", + "Force : 0.467841 [ 38.56 %]\n", + "Coefs : 0.170388 [ 14.04 %]\n", + "Output : 0.00763527 [ 0.63 %]\n", + "Levels : 0.000296353 [ 0.02 %]\n", + "Report : 9.91e-07 [ 0.00 %]\n", + "Balance : 4.71e-07 [ 0.00 %]\n", + "Adjust : 0.562652 [ 46.37 %]\n", + "Total : 1.21341 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6731e-03 sec\n", + "--- Collate = 7.1146e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.272667e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.332633e-02 > 2.000000e-03 [41426]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41426/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.586] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000769158 [ 0.06 %]\n", + "Velocity : 0.00342007 [ 0.28 %]\n", + "Force : 0.464059 [ 38.31 %]\n", + "Coefs : 0.168655 [ 13.92 %]\n", + "Output : 0.0078098 [ 0.64 %]\n", + "Levels : 0.000373277 [ 0.03 %]\n", + "Report : 1.047e-06 [ 0.00 %]\n", + "Balance : 3.47e-07 [ 0.00 %]\n", + "Adjust : 0.565907 [ 46.72 %]\n", + "Total : 1.21138 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.5839e-03 sec\n", + "--- Collate = 6.8864e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.212292e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.332917e-02 > 2.000000e-03 [41441]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41441/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.588] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000762011 [ 0.06 %]\n", + "Velocity : 0.00338332 [ 0.27 %]\n", + "Force : 0.476799 [ 38.62 %]\n", + "Coefs : 0.173419 [ 14.05 %]\n", + "Output : 0.0081897 [ 0.66 %]\n", + "Levels : 0.000308474 [ 0.02 %]\n", + "Report : 1.177e-06 [ 0.00 %]\n", + "Balance : 4.04e-07 [ 0.00 %]\n", + "Adjust : 0.571264 [ 46.27 %]\n", + "Total : 1.23452 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.6462e-03 sec\n", + "--- Collate = 7.4290e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.332817e-02 > 2.000000e-03 [41424]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41424/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.59] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000773628 [ 0.06 %]\n", + "Velocity : 0.00330384 [ 0.27 %]\n", + "Force : 0.465713 [ 38.35 %]\n", + "Coefs : 0.169542 [ 13.96 %]\n", + "Output : 0.008047 [ 0.66 %]\n", + "Levels : 0.000316871 [ 0.03 %]\n", + "Report : 1.211e-06 [ 0.00 %]\n", + "Balance : 5.39e-07 [ 0.00 %]\n", + "Adjust : 0.566323 [ 46.63 %]\n", + "Total : 1.21441 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.7958e-03 sec\n", + "--- Collate = 6.3452e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.534355e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.332603e-02 > 2.000000e-03 [41418]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41418/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.592] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000774162 [ 0.06 %]\n", + "Velocity : 0.00341 [ 0.28 %]\n", + "Force : 0.465755 [ 38.41 %]\n", + "Coefs : 0.169915 [ 14.01 %]\n", + "Output : 0.00829727 [ 0.68 %]\n", + "Levels : 0.00038777 [ 0.03 %]\n", + "Report : 1.14e-06 [ 0.00 %]\n", + "Balance : 4.04e-07 [ 0.00 %]\n", + "Adjust : 0.563592 [ 46.48 %]\n", + "Total : 1.21253 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.8407e-03 sec\n", + "--- Collate = 7.3776e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.595114e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.332684e-02 > 2.000000e-03 [41416]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41416/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.594] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000894317 [ 0.07 %]\n", + "Velocity : 0.00385005 [ 0.31 %]\n", + "Force : 0.476702 [ 38.13 %]\n", + "Coefs : 0.17428 [ 13.94 %]\n", + "Output : 0.0107852 [ 0.86 %]\n", + "Levels : 0.0084379 [ 0.67 %]\n", + "Report : 1.731e-06 [ 0.00 %]\n", + "Balance : 6.63e-07 [ 0.00 %]\n", + "Adjust : 0.574718 [ 45.97 %]\n", + "Total : 1.25012 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.5979e-03 sec\n", + "--- Collate = 6.9753e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.895426e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.332761e-02 > 2.000000e-03 [41408]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41408/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.596] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00101512 [ 0.08 %]\n", + "Velocity : 0.00409648 [ 0.34 %]\n", + "Force : 0.469408 [ 38.44 %]\n", + "Coefs : 0.172497 [ 14.12 %]\n", + "Output : 0.00798464 [ 0.65 %]\n", + "Levels : 0.000384423 [ 0.03 %]\n", + "Report : 1.075e-06 [ 0.00 %]\n", + "Balance : 6.21e-07 [ 0.00 %]\n", + "Adjust : 0.565521 [ 46.31 %]\n", + "Total : 1.22129 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.8699e-03 sec\n", + "--- Collate = 7.2922e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.332852e-02 > 2.000000e-03 [41420]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41420/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.598] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000807464 [ 0.07 %]\n", + "Velocity : 0.00340645 [ 0.29 %]\n", + "Force : 0.454239 [ 38.04 %]\n", + "Coefs : 0.166144 [ 13.91 %]\n", + "Output : 0.0077782 [ 0.65 %]\n", + "Levels : 0.000459584 [ 0.04 %]\n", + "Report : 1.254e-06 [ 0.00 %]\n", + "Balance : 3.73e-07 [ 0.00 %]\n", + "Adjust : 0.56079 [ 46.97 %]\n", + "Total : 1.194 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.6296e-03 sec\n", + "--- Collate = 6.8299e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.000038e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.333364e-02 > 2.000000e-03 [41415]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41415/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.6] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000780994 [ 0.06 %]\n", + "Velocity : 0.00321472 [ 0.24 %]\n", + "Force : 0.459065 [ 33.80 %]\n", + "Coefs : 0.168678 [ 12.42 %]\n", + "Output : 0.164778 [ 12.13 %]\n", + "Levels : 0.000319627 [ 0.02 %]\n", + "Report : 1.092e-06 [ 0.00 %]\n", + "Balance : 3.57e-07 [ 0.00 %]\n", + "Adjust : 0.561167 [ 41.31 %]\n", + "Total : 1.35837 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.8572e-03 sec\n", + "--- Collate = 7.6137e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.333378e-02 > 2.000000e-03 [41431]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41431/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.602] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000968673 [ 0.08 %]\n", + "Velocity : 0.00366519 [ 0.31 %]\n", + "Force : 0.455206 [ 38.01 %]\n", + "Coefs : 0.167502 [ 13.98 %]\n", + "Output : 0.00803746 [ 0.67 %]\n", + "Levels : 0.000345535 [ 0.03 %]\n", + "Report : 1.032e-06 [ 0.00 %]\n", + "Balance : 4.44e-07 [ 0.00 %]\n", + "Adjust : 0.561607 [ 46.89 %]\n", + "Total : 1.19772 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.0288e-03 sec\n", + "--- Collate = 7.3094e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.298312e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.333422e-02 > 2.000000e-03 [41428]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41428/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.604] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000827829 [ 0.07 %]\n", + "Velocity : 0.00369098 [ 0.30 %]\n", + "Force : 0.46818 [ 38.40 %]\n", + "Coefs : 0.168937 [ 13.86 %]\n", + "Output : 0.00926907 [ 0.76 %]\n", + "Levels : 0.000367783 [ 0.03 %]\n", + "Report : 1.138e-06 [ 0.00 %]\n", + "Balance : 4.75e-07 [ 0.00 %]\n", + "Adjust : 0.567422 [ 46.54 %]\n", + "Total : 1.21909 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.8899e-03 sec\n", + "--- Collate = 7.7557e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.333147e-02 > 2.000000e-03 [41443]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41443/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.606] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00079084 [ 0.07 %]\n", + "Velocity : 0.00346283 [ 0.29 %]\n", + "Force : 0.461036 [ 38.03 %]\n", + "Coefs : 0.170587 [ 14.07 %]\n", + "Output : 0.00871763 [ 0.72 %]\n", + "Levels : 0.000340606 [ 0.03 %]\n", + "Report : 9.94e-07 [ 0.00 %]\n", + "Balance : 4.38e-07 [ 0.00 %]\n", + "Adjust : 0.567001 [ 46.77 %]\n", + "Total : 1.21234 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7787e-03 sec\n", + "--- Collate = 6.7833e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.565586e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.331983e-02 > 2.000000e-03 [41439]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41439/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.608] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000891943 [ 0.07 %]\n", + "Velocity : 0.00403814 [ 0.32 %]\n", + "Force : 0.485973 [ 38.57 %]\n", + "Coefs : 0.174752 [ 13.87 %]\n", + "Output : 0.0101933 [ 0.81 %]\n", + "Levels : 0.000490761 [ 0.04 %]\n", + "Report : 1.082e-06 [ 0.00 %]\n", + "Balance : 6.33e-07 [ 0.00 %]\n", + "Adjust : 0.583031 [ 46.28 %]\n", + "Total : 1.25981 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.4630e-03 sec\n", + "--- Collate = 7.5538e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.600947e-06 < 7.812500e-06 [4]\n", + "--- Max DT=2.331473e-02 > 2.000000e-03 [41435]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 4/20000\n", + " Component | high: 41435/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.61] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00085158 [ 0.07 %]\n", + "Velocity : 0.00373477 [ 0.30 %]\n", + "Force : 0.485308 [ 39.14 %]\n", + "Coefs : 0.172924 [ 13.95 %]\n", + "Output : 0.00830519 [ 0.67 %]\n", + "Levels : 0.000329208 [ 0.03 %]\n", + "Report : 9.68e-07 [ 0.00 %]\n", + "Balance : 4.57e-07 [ 0.00 %]\n", + "Adjust : 0.568021 [ 45.81 %]\n", + "Total : 1.23989 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.6781e-03 sec\n", + "--- Collate = 7.3009e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.331305e-02 > 2.000000e-03 [41441]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41441/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.612] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000812456 [ 0.07 %]\n", + "Velocity : 0.00355611 [ 0.29 %]\n", + "Force : 0.472693 [ 38.39 %]\n", + "Coefs : 0.172447 [ 14.01 %]\n", + "Output : 0.0157755 [ 1.28 %]\n", + "Levels : 0.000319793 [ 0.03 %]\n", + "Report : 9.97e-07 [ 0.00 %]\n", + "Balance : 6.24e-07 [ 0.00 %]\n", + "Adjust : 0.565193 [ 45.91 %]\n", + "Total : 1.2312 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.6183e-03 sec\n", + "--- Collate = 6.0583e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.302781e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.331371e-02 > 2.000000e-03 [41431]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41431/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.614] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000749971 [ 0.06 %]\n", + "Velocity : 0.00371663 [ 0.30 %]\n", + "Force : 0.486042 [ 38.91 %]\n", + "Coefs : 0.174792 [ 13.99 %]\n", + "Output : 0.00824774 [ 0.66 %]\n", + "Levels : 0.00029863 [ 0.02 %]\n", + "Report : 9.27e-07 [ 0.00 %]\n", + "Balance : 4.93e-07 [ 0.00 %]\n", + "Adjust : 0.574958 [ 46.03 %]\n", + "Total : 1.24921 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.6130e-03 sec\n", + "--- Collate = 6.7754e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.878301e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.330770e-02 > 2.000000e-03 [41435]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41435/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.616] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000759087 [ 0.06 %]\n", + "Velocity : 0.00357558 [ 0.29 %]\n", + "Force : 0.468388 [ 38.49 %]\n", + "Coefs : 0.1709 [ 14.04 %]\n", + "Output : 0.00821188 [ 0.67 %]\n", + "Levels : 0.000329988 [ 0.03 %]\n", + "Report : 1.038e-06 [ 0.00 %]\n", + "Balance : 5.35e-07 [ 0.00 %]\n", + "Adjust : 0.564405 [ 46.38 %]\n", + "Total : 1.21696 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 7.8472e-03 sec\n", + "--- Collate = 6.6712e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.047652e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.330400e-02 > 2.000000e-03 [41442]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41442/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.618] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000773563 [ 0.06 %]\n", + "Velocity : 0.00363183 [ 0.30 %]\n", + "Force : 0.468577 [ 38.42 %]\n", + "Coefs : 0.172809 [ 14.17 %]\n", + "Output : 0.00837169 [ 0.69 %]\n", + "Levels : 0.00025924 [ 0.02 %]\n", + "Report : 1.011e-06 [ 0.00 %]\n", + "Balance : 5.25e-07 [ 0.00 %]\n", + "Adjust : 0.564649 [ 46.30 %]\n", + "Total : 1.21947 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.5806e-03 sec\n", + "--- Collate = 7.8980e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.286098e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.330222e-02 > 2.000000e-03 [41451]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41451/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.62] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000782196 [ 0.06 %]\n", + "Velocity : 0.00364963 [ 0.28 %]\n", + "Force : 0.4801 [ 36.40 %]\n", + "Coefs : 0.171875 [ 13.03 %]\n", + "Output : 0.0991075 [ 7.51 %]\n", + "Levels : 0.000343954 [ 0.03 %]\n", + "Report : 8.72e-07 [ 0.00 %]\n", + "Balance : 4.27e-07 [ 0.00 %]\n", + "Adjust : 0.562732 [ 42.66 %]\n", + "Total : 1.31897 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.8%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.9059e-03 sec\n", + "--- Collate = 5.6402e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.614363e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.329697e-02 > 2.000000e-03 [41453]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41453/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.622] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.001146 [ 0.09 %]\n", + "Velocity : 0.00461041 [ 0.37 %]\n", + "Force : 0.491374 [ 39.12 %]\n", + "Coefs : 0.173502 [ 13.81 %]\n", + "Output : 0.00983127 [ 0.78 %]\n", + "Levels : 0.0003535 [ 0.03 %]\n", + "Report : 9.1e-07 [ 0.00 %]\n", + "Balance : 4.84e-07 [ 0.00 %]\n", + "Adjust : 0.57491 [ 45.77 %]\n", + "Total : 1.25619 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.0211e-03 sec\n", + "--- Collate = 6.4223e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.559398e-06 < 7.812500e-06 [4]\n", + "--- Max DT=2.329375e-02 > 2.000000e-03 [41464]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 4/20000\n", + " Component | high: 41464/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.624] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00106818 [ 0.08 %]\n", + "Velocity : 0.00492113 [ 0.37 %]\n", + "Force : 0.521004 [ 39.31 %]\n", + "Coefs : 0.180256 [ 13.60 %]\n", + "Output : 0.0119074 [ 0.90 %]\n", + "Levels : 0.000371229 [ 0.03 %]\n", + "Report : 8.89e-07 [ 0.00 %]\n", + "Balance : 3.76e-07 [ 0.00 %]\n", + "Adjust : 0.6052 [ 45.67 %]\n", + "Total : 1.32529 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.0590e-03 sec\n", + "--- Collate = 7.2635e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.329576e-02 > 2.000000e-03 [41463]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41463/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.626] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000783892 [ 0.06 %]\n", + "Velocity : 0.00379974 [ 0.31 %]\n", + "Force : 0.482142 [ 38.75 %]\n", + "Coefs : 0.173953 [ 13.98 %]\n", + "Output : 0.00888929 [ 0.71 %]\n", + "Levels : 0.000312259 [ 0.03 %]\n", + "Report : 1.511e-06 [ 0.00 %]\n", + "Balance : 4.21e-07 [ 0.00 %]\n", + "Adjust : 0.573834 [ 46.12 %]\n", + "Total : 1.24412 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.0683e-03 sec\n", + "--- Collate = 7.9675e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.703488e-07 < 7.812500e-06 [3]\n", + "--- Max DT=2.329894e-02 > 2.000000e-03 [41451]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41451/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.628] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000843194 [ 0.07 %]\n", + "Velocity : 0.00379356 [ 0.30 %]\n", + "Force : 0.490413 [ 39.23 %]\n", + "Coefs : 0.174373 [ 13.95 %]\n", + "Output : 0.00833339 [ 0.67 %]\n", + "Levels : 0.000288095 [ 0.02 %]\n", + "Report : 1.125e-06 [ 0.00 %]\n", + "Balance : 5.02e-07 [ 0.00 %]\n", + "Adjust : 0.571825 [ 45.74 %]\n", + "Total : 1.25025 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.8%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 8.1689e-03 sec\n", + "--- Collate = 7.3984e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.685595e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.329963e-02 > 2.000000e-03 [41460]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41460/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.63] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000849229 [ 0.07 %]\n", + "Velocity : 0.0037053 [ 0.30 %]\n", + "Force : 0.482753 [ 38.86 %]\n", + "Coefs : 0.174974 [ 14.08 %]\n", + "Output : 0.00849772 [ 0.68 %]\n", + "Levels : 0.000480389 [ 0.04 %]\n", + "Report : 1.115e-06 [ 0.00 %]\n", + "Balance : 5.9e-07 [ 0.00 %]\n", + "Adjust : 0.57071 [ 45.94 %]\n", + "Total : 1.24236 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7300e-03 sec\n", + "--- Collate = 6.8735e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.025206e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.329959e-02 > 2.000000e-03 [41503]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41503/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.632] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000834054 [ 0.07 %]\n", + "Velocity : 0.00353593 [ 0.28 %]\n", + "Force : 0.490604 [ 38.95 %]\n", + "Coefs : 0.176174 [ 13.99 %]\n", + "Output : 0.00855722 [ 0.68 %]\n", + "Levels : 0.000307738 [ 0.02 %]\n", + "Report : 1.404e-06 [ 0.00 %]\n", + "Balance : 3.8e-07 [ 0.00 %]\n", + "Adjust : 0.579171 [ 45.98 %]\n", + "Total : 1.25959 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 9.6%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.2271e-03 sec\n", + "--- Collate = 7.3449e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.937287e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.329678e-02 > 2.000000e-03 [41506]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41506/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.634] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000812731 [ 0.07 %]\n", + "Velocity : 0.0037744 [ 0.30 %]\n", + "Force : 0.477778 [ 38.54 %]\n", + "Coefs : 0.175651 [ 14.17 %]\n", + "Output : 0.00912934 [ 0.74 %]\n", + "Levels : 0.000304 [ 0.02 %]\n", + "Report : 9.45e-07 [ 0.00 %]\n", + "Balance : 4.2e-07 [ 0.00 %]\n", + "Adjust : 0.571906 [ 46.13 %]\n", + "Total : 1.23976 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.6997e-03 sec\n", + "--- Collate = 7.7330e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.856442e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.329210e-02 > 2.000000e-03 [41512]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41512/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.636] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000848315 [ 0.06 %]\n", + "Velocity : 0.00416375 [ 0.32 %]\n", + "Force : 0.506034 [ 38.63 %]\n", + "Coefs : 0.181742 [ 13.87 %]\n", + "Output : 0.00943707 [ 0.72 %]\n", + "Levels : 0.000308165 [ 0.02 %]\n", + "Report : 9.47e-07 [ 0.00 %]\n", + "Balance : 4.46e-07 [ 0.00 %]\n", + "Adjust : 0.607125 [ 46.34 %]\n", + "Total : 1.31009 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.5693e-03 sec\n", + "--- Collate = 6.9031e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.328997e-02 > 2.000000e-03 [41515]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41515/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.638] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00083843 [ 0.06 %]\n", + "Velocity : 0.00359387 [ 0.26 %]\n", + "Force : 0.540763 [ 38.43 %]\n", + "Coefs : 0.191867 [ 13.64 %]\n", + "Output : 0.0085535 [ 0.61 %]\n", + "Levels : 0.000305388 [ 0.02 %]\n", + "Report : 1.105e-06 [ 0.00 %]\n", + "Balance : 4.38e-07 [ 0.00 %]\n", + "Adjust : 0.660758 [ 46.96 %]\n", + "Total : 1.40708 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6765e-03 sec\n", + "--- Collate = 6.1405e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.017524e-06 < 7.812500e-06 [7]\n", + "--- Max DT=2.328898e-02 > 2.000000e-03 [41487]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 7/20000\n", + " Component | high: 41487/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.64] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00081663 [ 0.06 %]\n", + "Velocity : 0.00383691 [ 0.29 %]\n", + "Force : 0.478522 [ 36.33 %]\n", + "Coefs : 0.17271 [ 13.11 %]\n", + "Output : 0.0859906 [ 6.53 %]\n", + "Levels : 0.000450642 [ 0.03 %]\n", + "Report : 7.04e-07 [ 0.00 %]\n", + "Balance : 4.04e-07 [ 0.00 %]\n", + "Adjust : 0.574553 [ 43.62 %]\n", + "Total : 1.31729 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.8177e-03 sec\n", + "--- Collate = 7.1388e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.548769e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.328985e-02 > 2.000000e-03 [41485]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41485/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.642] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000815663 [ 0.07 %]\n", + "Velocity : 0.00379005 [ 0.31 %]\n", + "Force : 0.465514 [ 37.80 %]\n", + "Coefs : 0.180338 [ 14.64 %]\n", + "Output : 0.0085381 [ 0.69 %]\n", + "Levels : 0.000466698 [ 0.04 %]\n", + "Report : 1.008e-06 [ 0.00 %]\n", + "Balance : 4.32e-07 [ 0.00 %]\n", + "Adjust : 0.571545 [ 46.41 %]\n", + "Total : 1.2314 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.8281e-03 sec\n", + "--- Collate = 7.1350e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.201279e-06 < 7.812500e-06 [5]\n", + "--- Max DT=2.328455e-02 > 2.000000e-03 [41475]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 5/20000\n", + " Component | high: 41475/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.644] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00082693 [ 0.07 %]\n", + "Velocity : 0.00392986 [ 0.32 %]\n", + "Force : 0.48153 [ 38.61 %]\n", + "Coefs : 0.175836 [ 14.10 %]\n", + "Output : 0.00931451 [ 0.75 %]\n", + "Levels : 0.000431158 [ 0.03 %]\n", + "Report : 1.048e-06 [ 0.00 %]\n", + "Balance : 3.44e-07 [ 0.00 %]\n", + "Adjust : 0.574742 [ 46.09 %]\n", + "Total : 1.24703 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.0%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.6965e-03 sec\n", + "--- Collate = 6.9463e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.074538e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.327993e-02 > 2.000000e-03 [41500]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41500/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.646] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000809884 [ 0.07 %]\n", + "Velocity : 0.0039321 [ 0.32 %]\n", + "Force : 0.469159 [ 38.51 %]\n", + "Coefs : 0.170213 [ 13.97 %]\n", + "Output : 0.00832524 [ 0.68 %]\n", + "Levels : 0.000300613 [ 0.02 %]\n", + "Report : 1.053e-06 [ 0.00 %]\n", + "Balance : 5.27e-07 [ 0.00 %]\n", + "Adjust : 0.565154 [ 46.39 %]\n", + "Total : 1.21828 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.6071e-03 sec\n", + "--- Collate = 6.8842e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.094620e-06 < 7.812500e-06 [4]\n", + "--- Max DT=2.328000e-02 > 2.000000e-03 [41481]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 4/20000\n", + " Component | high: 41481/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.648] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000848156 [ 0.07 %]\n", + "Velocity : 0.00373715 [ 0.30 %]\n", + "Force : 0.478797 [ 38.76 %]\n", + "Coefs : 0.172499 [ 13.96 %]\n", + "Output : 0.00915278 [ 0.74 %]\n", + "Levels : 0.000436648 [ 0.04 %]\n", + "Report : 1.285e-06 [ 0.00 %]\n", + "Balance : 4.48e-07 [ 0.00 %]\n", + "Adjust : 0.569374 [ 46.09 %]\n", + "Total : 1.23526 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.6%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.9794e-03 sec\n", + "--- Collate = 9.1774e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.287081e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.327838e-02 > 2.000000e-03 [41460]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41460/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.65] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000760155 [ 0.06 %]\n", + "Velocity : 0.0038717 [ 0.32 %]\n", + "Force : 0.469632 [ 38.36 %]\n", + "Coefs : 0.174026 [ 14.21 %]\n", + "Output : 0.010216 [ 0.83 %]\n", + "Levels : 0.000310004 [ 0.03 %]\n", + "Report : 9.02e-07 [ 0.00 %]\n", + "Balance : 4.43e-07 [ 0.00 %]\n", + "Adjust : 0.565036 [ 46.15 %]\n", + "Total : 1.22426 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.9353e-03 sec\n", + "--- Collate = 7.1193e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.846648e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.327872e-02 > 2.000000e-03 [41456]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41456/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.652] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000775229 [ 0.06 %]\n", + "Velocity : 0.00364021 [ 0.29 %]\n", + "Force : 0.476661 [ 38.36 %]\n", + "Coefs : 0.174276 [ 14.02 %]\n", + "Output : 0.00898476 [ 0.72 %]\n", + "Levels : 0.00863662 [ 0.69 %]\n", + "Report : 1.204e-06 [ 0.00 %]\n", + "Balance : 6.41e-07 [ 0.00 %]\n", + "Adjust : 0.569377 [ 45.82 %]\n", + "Total : 1.24275 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.8461e-03 sec\n", + "--- Collate = 7.5506e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.326854e-06 < 7.812500e-06 [5]\n", + "--- Max DT=2.327643e-02 > 2.000000e-03 [41448]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 5/20000\n", + " Component | high: 41448/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.654] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00108316 [ 0.09 %]\n", + "Velocity : 0.00423992 [ 0.34 %]\n", + "Force : 0.479624 [ 38.74 %]\n", + "Coefs : 0.172903 [ 13.96 %]\n", + "Output : 0.00859951 [ 0.69 %]\n", + "Levels : 0.000337996 [ 0.03 %]\n", + "Report : 9.76e-07 [ 0.00 %]\n", + "Balance : 6.21e-07 [ 0.00 %]\n", + "Adjust : 0.57103 [ 46.12 %]\n", + "Total : 1.23821 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.5312e-03 sec\n", + "--- Collate = 6.4850e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.983316e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.327281e-02 > 2.000000e-03 [41471]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41471/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.656] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00080207 [ 0.07 %]\n", + "Velocity : 0.00355052 [ 0.29 %]\n", + "Force : 0.462586 [ 38.20 %]\n", + "Coefs : 0.169648 [ 14.01 %]\n", + "Output : 0.00873522 [ 0.72 %]\n", + "Levels : 0.000284448 [ 0.02 %]\n", + "Report : 8.98e-07 [ 0.00 %]\n", + "Balance : 4.63e-07 [ 0.00 %]\n", + "Adjust : 0.564839 [ 46.65 %]\n", + "Total : 1.21084 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.4111e-03 sec\n", + "--- Collate = 8.5353e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.080477e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.326764e-02 > 2.000000e-03 [41476]\n", + "----------------------------------------------------------------------\n", + " Component | low: 1/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41476/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.658] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000865189 [ 0.07 %]\n", + "Velocity : 0.00362502 [ 0.30 %]\n", + "Force : 0.468891 [ 38.39 %]\n", + "Coefs : 0.171584 [ 14.05 %]\n", + "Output : 0.0085624 [ 0.70 %]\n", + "Levels : 0.000405493 [ 0.03 %]\n", + "Report : 1.356e-06 [ 0.00 %]\n", + "Balance : 6.12e-07 [ 0.00 %]\n", + "Adjust : 0.567033 [ 46.43 %]\n", + "Total : 1.22137 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.6464e-03 sec\n", + "--- Collate = 7.6870e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.689119e-06 < 7.812500e-06 [4]\n", + "--- Max DT=2.326469e-02 > 2.000000e-03 [41487]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 4/20000\n", + " Component | high: 41487/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.66] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000866082 [ 0.07 %]\n", + "Velocity : 0.00369276 [ 0.28 %]\n", + "Force : 0.475179 [ 36.46 %]\n", + "Coefs : 0.170934 [ 13.12 %]\n", + "Output : 0.0864796 [ 6.64 %]\n", + "Levels : 0.000306543 [ 0.02 %]\n", + "Report : 1.076e-06 [ 0.00 %]\n", + "Balance : 4.4e-07 [ 0.00 %]\n", + "Adjust : 0.565269 [ 43.38 %]\n", + "Total : 1.30312 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.5477e-03 sec\n", + "--- Collate = 7.0743e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.564074e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.326218e-02 > 2.000000e-03 [41471]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41471/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.662] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000808008 [ 0.07 %]\n", + "Velocity : 0.00381619 [ 0.31 %]\n", + "Force : 0.475269 [ 38.62 %]\n", + "Coefs : 0.173392 [ 14.09 %]\n", + "Output : 0.00825643 [ 0.67 %]\n", + "Levels : 0.00029252 [ 0.02 %]\n", + "Report : 1.12e-06 [ 0.00 %]\n", + "Balance : 3.45e-07 [ 0.00 %]\n", + "Adjust : 0.568463 [ 46.19 %]\n", + "Total : 1.23069 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.8%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.7055e-03 sec\n", + "--- Collate = 6.9830e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.802115e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.326353e-02 > 2.000000e-03 [41459]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41459/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.664] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000804688 [ 0.07 %]\n", + "Velocity : 0.00378786 [ 0.31 %]\n", + "Force : 0.471241 [ 38.59 %]\n", + "Coefs : 0.171802 [ 14.07 %]\n", + "Output : 0.00851777 [ 0.70 %]\n", + "Levels : 0.000295363 [ 0.02 %]\n", + "Report : 1.215e-06 [ 0.00 %]\n", + "Balance : 2.9e-07 [ 0.00 %]\n", + "Adjust : 0.564252 [ 46.21 %]\n", + "Total : 1.22111 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.7927e-03 sec\n", + "--- Collate = 7.3554e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.095041e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.326672e-02 > 2.000000e-03 [41460]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41460/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.666] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000792046 [ 0.06 %]\n", + "Velocity : 0.00354202 [ 0.29 %]\n", + "Force : 0.476983 [ 38.63 %]\n", + "Coefs : 0.174289 [ 14.12 %]\n", + "Output : 0.00874874 [ 0.71 %]\n", + "Levels : 0.000351676 [ 0.03 %]\n", + "Report : 1.245e-06 [ 0.00 %]\n", + "Balance : 3.69e-07 [ 0.00 %]\n", + "Adjust : 0.569581 [ 46.13 %]\n", + "Total : 1.23469 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6319e-03 sec\n", + "--- Collate = 8.4102e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.411838e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.326881e-02 > 2.000000e-03 [41468]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41468/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.668] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000793954 [ 0.06 %]\n", + "Velocity : 0.00363588 [ 0.30 %]\n", + "Force : 0.471962 [ 38.56 %]\n", + "Coefs : 0.172127 [ 14.06 %]\n", + "Output : 0.00876274 [ 0.72 %]\n", + "Levels : 0.000240561 [ 0.02 %]\n", + "Report : 8.2e-07 [ 0.00 %]\n", + "Balance : 4.43e-07 [ 0.00 %]\n", + "Adjust : 0.565995 [ 46.24 %]\n", + "Total : 1.22391 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.9374e-03 sec\n", + "--- Collate = 7.7924e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.194008e-06 < 7.812500e-06 [5]\n", + "--- Max DT=2.327144e-02 > 2.000000e-03 [41470]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 5/20000\n", + " Component | high: 41470/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.67] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000734576 [ 0.06 %]\n", + "Velocity : 0.00352768 [ 0.29 %]\n", + "Force : 0.471863 [ 38.53 %]\n", + "Coefs : 0.172155 [ 14.06 %]\n", + "Output : 0.00819377 [ 0.67 %]\n", + "Levels : 0.000361291 [ 0.03 %]\n", + "Report : 8.33e-07 [ 0.00 %]\n", + "Balance : 4.7e-07 [ 0.00 %]\n", + "Adjust : 0.567583 [ 46.34 %]\n", + "Total : 1.2248 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6633e-03 sec\n", + "--- Collate = 7.6770e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.147937e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.327233e-02 > 2.000000e-03 [41484]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41484/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.672] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000764593 [ 0.06 %]\n", + "Velocity : 0.00359633 [ 0.29 %]\n", + "Force : 0.486466 [ 38.92 %]\n", + "Coefs : 0.175228 [ 14.02 %]\n", + "Output : 0.0086102 [ 0.69 %]\n", + "Levels : 0.000376773 [ 0.03 %]\n", + "Report : 1.428e-06 [ 0.00 %]\n", + "Balance : 5.33e-07 [ 0.00 %]\n", + "Adjust : 0.574428 [ 45.96 %]\n", + "Total : 1.24988 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.6178e-03 sec\n", + "--- Collate = 7.3641e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.695390e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.327289e-02 > 2.000000e-03 [41481]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41481/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.674] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000794878 [ 0.06 %]\n", + "Velocity : 0.00379858 [ 0.30 %]\n", + "Force : 0.484462 [ 38.83 %]\n", + "Coefs : 0.175308 [ 14.05 %]\n", + "Output : 0.00857437 [ 0.69 %]\n", + "Levels : 0.000333652 [ 0.03 %]\n", + "Report : 8.57e-07 [ 0.00 %]\n", + "Balance : 3.29e-07 [ 0.00 %]\n", + "Adjust : 0.574117 [ 46.01 %]\n", + "Total : 1.24781 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.7%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 7.8122e-03 sec\n", + "--- Collate = 7.3477e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.327527e-02 > 2.000000e-03 [41460]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41460/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.676] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000802714 [ 0.06 %]\n", + "Velocity : 0.00379869 [ 0.31 %]\n", + "Force : 0.47595 [ 38.36 %]\n", + "Coefs : 0.17431 [ 14.05 %]\n", + "Output : 0.00911447 [ 0.73 %]\n", + "Levels : 0.000418165 [ 0.03 %]\n", + "Report : 1.515e-06 [ 0.00 %]\n", + "Balance : 5.59e-07 [ 0.00 %]\n", + "Adjust : 0.576087 [ 46.43 %]\n", + "Total : 1.24088 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.1%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.8556e-03 sec\n", + "--- Collate = 9.9520e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.139021e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.327544e-02 > 2.000000e-03 [41469]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41469/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.678] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000835368 [ 0.07 %]\n", + "Velocity : 0.00392017 [ 0.32 %]\n", + "Force : 0.472403 [ 38.53 %]\n", + "Coefs : 0.172191 [ 14.04 %]\n", + "Output : 0.0082166 [ 0.67 %]\n", + "Levels : 0.00036682 [ 0.03 %]\n", + "Report : 1.105e-06 [ 0.00 %]\n", + "Balance : 5.16e-07 [ 0.00 %]\n", + "Adjust : 0.567904 [ 46.31 %]\n", + "Total : 1.22621 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6394e-03 sec\n", + "--- Collate = 6.0029e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.327303e-02 > 2.000000e-03 [41473]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41473/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.68] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000797554 [ 0.06 %]\n", + "Velocity : 0.00349704 [ 0.27 %]\n", + "Force : 0.474622 [ 36.29 %]\n", + "Coefs : 0.174651 [ 13.35 %]\n", + "Output : 0.0866501 [ 6.63 %]\n", + "Levels : 0.000367403 [ 0.03 %]\n", + "Report : 7.51e-07 [ 0.00 %]\n", + "Balance : 3.7e-07 [ 0.00 %]\n", + "Adjust : 0.566924 [ 43.35 %]\n", + "Total : 1.3079 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.6046e-03 sec\n", + "--- Collate = 6.6754e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.326896e-02 > 2.000000e-03 [41474]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41474/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.682] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000821423 [ 0.07 %]\n", + "Velocity : 0.00403448 [ 0.33 %]\n", + "Force : 0.471011 [ 38.52 %]\n", + "Coefs : 0.172815 [ 14.13 %]\n", + "Output : 0.00827258 [ 0.68 %]\n", + "Levels : 0.000345762 [ 0.03 %]\n", + "Report : 1.173e-06 [ 0.00 %]\n", + "Balance : 5.77e-07 [ 0.00 %]\n", + "Adjust : 0.564942 [ 46.21 %]\n", + "Total : 1.22263 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.4962e-03 sec\n", + "--- Collate = 6.3407e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.574244e-07 < 7.812500e-06 [2]\n", + "--- Max DT=2.326845e-02 > 2.000000e-03 [41470]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41470/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.684] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000753655 [ 0.06 %]\n", + "Velocity : 0.00367797 [ 0.30 %]\n", + "Force : 0.473074 [ 38.72 %]\n", + "Coefs : 0.171808 [ 14.06 %]\n", + "Output : 0.00763257 [ 0.62 %]\n", + "Levels : 0.000327673 [ 0.03 %]\n", + "Report : 8.43e-07 [ 0.00 %]\n", + "Balance : 4.38e-07 [ 0.00 %]\n", + "Adjust : 0.563994 [ 46.17 %]\n", + "Total : 1.22165 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6379e-03 sec\n", + "--- Collate = 7.7270e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.929083e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.326784e-02 > 2.000000e-03 [41484]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41484/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.686] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000756418 [ 0.06 %]\n", + "Velocity : 0.00358565 [ 0.29 %]\n", + "Force : 0.479569 [ 38.88 %]\n", + "Coefs : 0.172011 [ 13.95 %]\n", + "Output : 0.00813863 [ 0.66 %]\n", + "Levels : 0.000492421 [ 0.04 %]\n", + "Report : 1.28e-06 [ 0.00 %]\n", + "Balance : 5.3e-07 [ 0.00 %]\n", + "Adjust : 0.568436 [ 46.09 %]\n", + "Total : 1.23339 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.6861e-03 sec\n", + "--- Collate = 7.8129e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.773519e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.326168e-02 > 2.000000e-03 [41496]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41496/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.688] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000755853 [ 0.06 %]\n", + "Velocity : 0.00353705 [ 0.29 %]\n", + "Force : 0.473004 [ 38.70 %]\n", + "Coefs : 0.17195 [ 14.07 %]\n", + "Output : 0.00814325 [ 0.67 %]\n", + "Levels : 0.000402362 [ 0.03 %]\n", + "Report : 1.069e-06 [ 0.00 %]\n", + "Balance : 5.41e-07 [ 0.00 %]\n", + "Adjust : 0.564188 [ 46.16 %]\n", + "Total : 1.22237 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.7866e-03 sec\n", + "--- Collate = 8.1367e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.440373e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.325664e-02 > 2.000000e-03 [41495]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41495/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.69] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000840141 [ 0.07 %]\n", + "Velocity : 0.00350092 [ 0.28 %]\n", + "Force : 0.483763 [ 38.85 %]\n", + "Coefs : 0.176899 [ 14.21 %]\n", + "Output : 0.00851368 [ 0.68 %]\n", + "Levels : 0.000346848 [ 0.03 %]\n", + "Report : 1.181e-06 [ 0.00 %]\n", + "Balance : 3.5e-07 [ 0.00 %]\n", + "Adjust : 0.57092 [ 45.85 %]\n", + "Total : 1.24517 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.5214e-03 sec\n", + "--- Collate = 1.1305e-04 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.325415e-02 > 2.000000e-03 [41499]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41499/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.692] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000771702 [ 0.06 %]\n", + "Velocity : 0.00364025 [ 0.30 %]\n", + "Force : 0.46908 [ 38.59 %]\n", + "Coefs : 0.169783 [ 13.97 %]\n", + "Output : 0.00860593 [ 0.71 %]\n", + "Levels : 0.000360384 [ 0.03 %]\n", + "Report : 9.56e-07 [ 0.00 %]\n", + "Balance : 5.47e-07 [ 0.00 %]\n", + "Adjust : 0.563031 [ 46.31 %]\n", + "Total : 1.21567 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.5500e-03 sec\n", + "--- Collate = 6.2060e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.240785e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.325551e-02 > 2.000000e-03 [41489]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41489/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.694] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000844396 [ 0.07 %]\n", + "Velocity : 0.00364585 [ 0.30 %]\n", + "Force : 0.469855 [ 38.53 %]\n", + "Coefs : 0.171952 [ 14.10 %]\n", + "Output : 0.00827929 [ 0.68 %]\n", + "Levels : 0.000406388 [ 0.03 %]\n", + "Report : 1.152e-06 [ 0.00 %]\n", + "Balance : 4.58e-07 [ 0.00 %]\n", + "Adjust : 0.564034 [ 46.25 %]\n", + "Total : 1.21941 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.5492e-03 sec\n", + "--- Collate = 7.1493e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.561870e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.325536e-02 > 2.000000e-03 [41481]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41481/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.696] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000817487 [ 0.07 %]\n", + "Velocity : 0.0035031 [ 0.29 %]\n", + "Force : 0.470175 [ 38.66 %]\n", + "Coefs : 0.170227 [ 14.00 %]\n", + "Output : 0.00831106 [ 0.68 %]\n", + "Levels : 0.000317416 [ 0.03 %]\n", + "Report : 9.19e-07 [ 0.00 %]\n", + "Balance : 5.03e-07 [ 0.00 %]\n", + "Adjust : 0.56235 [ 46.24 %]\n", + "Total : 1.2161 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.8%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7241e-03 sec\n", + "--- Collate = 7.0721e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.325479e-02 > 2.000000e-03 [41477]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41477/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.698] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000769044 [ 0.06 %]\n", + "Velocity : 0.00342724 [ 0.28 %]\n", + "Force : 0.468085 [ 38.26 %]\n", + "Coefs : 0.169279 [ 13.84 %]\n", + "Output : 0.0162954 [ 1.33 %]\n", + "Levels : 0.000347279 [ 0.03 %]\n", + "Report : 1.058e-06 [ 0.00 %]\n", + "Balance : 5.88e-07 [ 0.00 %]\n", + "Adjust : 0.564922 [ 46.17 %]\n", + "Total : 1.22352 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.1813e-03 sec\n", + "--- Collate = 5.3046e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.325488e-02 > 2.000000e-03 [41484]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41484/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.7] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00163516 [ 0.12 %]\n", + "Velocity : 0.00786014 [ 0.58 %]\n", + "Force : 0.472833 [ 34.72 %]\n", + "Coefs : 0.169359 [ 12.44 %]\n", + "Output : 0.125995 [ 9.25 %]\n", + "Levels : 0.000538885 [ 0.04 %]\n", + "Report : 9.17e-07 [ 0.00 %]\n", + "Balance : 4.56e-07 [ 0.00 %]\n", + "Adjust : 0.582948 [ 42.81 %]\n", + "Total : 1.36181 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.3975e-03 sec\n", + "--- Collate = 5.9697e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.325322e-02 > 2.000000e-03 [41470]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41470/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.702] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00178685 [ 0.14 %]\n", + "Velocity : 0.00791959 [ 0.63 %]\n", + "Force : 0.474821 [ 37.88 %]\n", + "Coefs : 0.168201 [ 13.42 %]\n", + "Output : 0.0184037 [ 1.47 %]\n", + "Levels : 0.000594015 [ 0.05 %]\n", + "Report : 1.006e-06 [ 0.00 %]\n", + "Balance : 3.69e-07 [ 0.00 %]\n", + "Adjust : 0.581162 [ 46.36 %]\n", + "Total : 1.25353 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.7%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.0645e-03 sec\n", + "--- Collate = 5.8008e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.325032e-02 > 2.000000e-03 [41458]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41458/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.704] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00179091 [ 0.14 %]\n", + "Velocity : 0.00821327 [ 0.64 %]\n", + "Force : 0.483061 [ 37.74 %]\n", + "Coefs : 0.171338 [ 13.39 %]\n", + "Output : 0.0187507 [ 1.46 %]\n", + "Levels : 0.000532004 [ 0.04 %]\n", + "Report : 8.58e-07 [ 0.00 %]\n", + "Balance : 3.6e-07 [ 0.00 %]\n", + "Adjust : 0.595572 [ 46.53 %]\n", + "Total : 1.27992 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.2637e-03 sec\n", + "--- Collate = 5.2253e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.330767e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.324622e-02 > 2.000000e-03 [41462]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41462/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.706] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00179214 [ 0.14 %]\n", + "Velocity : 0.00798664 [ 0.64 %]\n", + "Force : 0.468198 [ 37.31 %]\n", + "Coefs : 0.16745 [ 13.34 %]\n", + "Output : 0.0181508 [ 1.45 %]\n", + "Levels : 0.00827496 [ 0.66 %]\n", + "Report : 1.14e-06 [ 0.00 %]\n", + "Balance : 4.63e-07 [ 0.00 %]\n", + "Adjust : 0.58247 [ 46.41 %]\n", + "Total : 1.25496 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.3875e-03 sec\n", + "--- Collate = 5.7878e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.324328e-02 > 2.000000e-03 [41460]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41460/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.708] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00181999 [ 0.14 %]\n", + "Velocity : 0.00839084 [ 0.66 %]\n", + "Force : 0.483411 [ 37.94 %]\n", + "Coefs : 0.171248 [ 13.44 %]\n", + "Output : 0.0186106 [ 1.46 %]\n", + "Levels : 0.000486392 [ 0.04 %]\n", + "Report : 9.01e-07 [ 0.00 %]\n", + "Balance : 3.58e-07 [ 0.00 %]\n", + "Adjust : 0.589448 [ 46.26 %]\n", + "Total : 1.27411 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.2%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.1923e-03 sec\n", + "--- Collate = 5.3855e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.897424e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.324770e-02 > 2.000000e-03 [41470]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41470/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.71] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00190279 [ 0.15 %]\n", + "Velocity : 0.0080295 [ 0.64 %]\n", + "Force : 0.472542 [ 37.72 %]\n", + "Coefs : 0.167878 [ 13.40 %]\n", + "Output : 0.0182032 [ 1.45 %]\n", + "Levels : 0.00053744 [ 0.04 %]\n", + "Report : 1.021e-06 [ 0.00 %]\n", + "Balance : 3.74e-07 [ 0.00 %]\n", + "Adjust : 0.582896 [ 46.53 %]\n", + "Total : 1.2526 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.1159e-03 sec\n", + "--- Collate = 5.0709e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.557325e-06 < 7.812500e-06 [4]\n", + "--- Max DT=2.325208e-02 > 2.000000e-03 [41470]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 4/20000\n", + " Component | high: 41470/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.712] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00175446 [ 0.14 %]\n", + "Velocity : 0.00808308 [ 0.65 %]\n", + "Force : 0.468391 [ 37.53 %]\n", + "Coefs : 0.168167 [ 13.48 %]\n", + "Output : 0.0194314 [ 1.56 %]\n", + "Levels : 0.000475075 [ 0.04 %]\n", + "Report : 1.166e-06 [ 0.00 %]\n", + "Balance : 3.62e-07 [ 0.00 %]\n", + "Adjust : 0.581031 [ 46.56 %]\n", + "Total : 1.24794 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.3813e-03 sec\n", + "--- Collate = 5.6171e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.330454e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.325479e-02 > 2.000000e-03 [41467]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41467/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.714] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00176461 [ 0.14 %]\n", + "Velocity : 0.00809621 [ 0.65 %]\n", + "Force : 0.465586 [ 37.12 %]\n", + "Coefs : 0.169222 [ 13.49 %]\n", + "Output : 0.019467 [ 1.55 %]\n", + "Levels : 0.00832481 [ 0.66 %]\n", + "Report : 1.048e-06 [ 0.00 %]\n", + "Balance : 3.94e-07 [ 0.00 %]\n", + "Adjust : 0.581216 [ 46.34 %]\n", + "Total : 1.25428 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.1683e-03 sec\n", + "--- Collate = 5.4284e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.805101e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.325076e-02 > 2.000000e-03 [41466]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41466/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.716] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00183337 [ 0.15 %]\n", + "Velocity : 0.00794396 [ 0.63 %]\n", + "Force : 0.478934 [ 37.89 %]\n", + "Coefs : 0.170781 [ 13.51 %]\n", + "Output : 0.0181808 [ 1.44 %]\n", + "Levels : 0.000497156 [ 0.04 %]\n", + "Report : 9.73e-07 [ 0.00 %]\n", + "Balance : 3.7e-07 [ 0.00 %]\n", + "Adjust : 0.585053 [ 46.29 %]\n", + "Total : 1.26386 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.5987e-03 sec\n", + "--- Collate = 5.4555e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.324615e-02 > 2.000000e-03 [41474]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41474/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.718] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0017705 [ 0.14 %]\n", + "Velocity : 0.00782615 [ 0.63 %]\n", + "Force : 0.471339 [ 37.68 %]\n", + "Coefs : 0.167584 [ 13.40 %]\n", + "Output : 0.0182264 [ 1.46 %]\n", + "Levels : 0.000473598 [ 0.04 %]\n", + "Report : 1.116e-06 [ 0.00 %]\n", + "Balance : 3.62e-07 [ 0.00 %]\n", + "Adjust : 0.583128 [ 46.61 %]\n", + "Total : 1.25102 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.7036e-03 sec\n", + "--- Collate = 4.7426e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.507536e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.324344e-02 > 2.000000e-03 [41464]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41464/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.72] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0017708 [ 0.13 %]\n", + "Velocity : 0.00785654 [ 0.57 %]\n", + "Force : 0.487701 [ 35.30 %]\n", + "Coefs : 0.172362 [ 12.48 %]\n", + "Output : 0.12505 [ 9.05 %]\n", + "Levels : 0.000561922 [ 0.04 %]\n", + "Report : 1.064e-06 [ 0.00 %]\n", + "Balance : 4.32e-07 [ 0.00 %]\n", + "Adjust : 0.585625 [ 42.39 %]\n", + "Total : 1.38159 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.4385e-03 sec\n", + "--- Collate = 6.3978e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.708805e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.324691e-02 > 2.000000e-03 [41466]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41466/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.722] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00183774 [ 0.15 %]\n", + "Velocity : 0.00850597 [ 0.67 %]\n", + "Force : 0.4768 [ 37.75 %]\n", + "Coefs : 0.16978 [ 13.44 %]\n", + "Output : 0.0192247 [ 1.52 %]\n", + "Levels : 0.000509744 [ 0.04 %]\n", + "Report : 1.12e-06 [ 0.00 %]\n", + "Balance : 3.58e-07 [ 0.00 %]\n", + "Adjust : 0.585745 [ 46.38 %]\n", + "Total : 1.26305 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.1717e-03 sec\n", + "--- Collate = 6.1103e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.631922e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.325376e-02 > 2.000000e-03 [41444]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41444/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.724] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00181519 [ 0.14 %]\n", + "Velocity : 0.00808479 [ 0.63 %]\n", + "Force : 0.489481 [ 38.41 %]\n", + "Coefs : 0.170301 [ 13.36 %]\n", + "Output : 0.01906 [ 1.50 %]\n", + "Levels : 0.000463135 [ 0.04 %]\n", + "Report : 1.102e-06 [ 0.00 %]\n", + "Balance : 3.96e-07 [ 0.00 %]\n", + "Adjust : 0.584381 [ 45.86 %]\n", + "Total : 1.27424 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.0260e-03 sec\n", + "--- Collate = 5.5330e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.325912e-02 > 2.000000e-03 [41423]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41423/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.726] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00179314 [ 0.14 %]\n", + "Velocity : 0.00824333 [ 0.65 %]\n", + "Force : 0.484315 [ 38.17 %]\n", + "Coefs : 0.170601 [ 13.45 %]\n", + "Output : 0.0187874 [ 1.48 %]\n", + "Levels : 0.000490015 [ 0.04 %]\n", + "Report : 1.441e-06 [ 0.00 %]\n", + "Balance : 3.61e-07 [ 0.00 %]\n", + "Adjust : 0.583976 [ 46.02 %]\n", + "Total : 1.26886 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.4%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.2623e-03 sec\n", + "--- Collate = 7.6687e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.326304e-02 > 2.000000e-03 [41407]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41407/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.728] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00182212 [ 0.14 %]\n", + "Velocity : 0.00822781 [ 0.65 %]\n", + "Force : 0.478322 [ 37.91 %]\n", + "Coefs : 0.171628 [ 13.60 %]\n", + "Output : 0.0187186 [ 1.48 %]\n", + "Levels : 0.000581947 [ 0.05 %]\n", + "Report : 1.285e-06 [ 0.00 %]\n", + "Balance : 3.61e-07 [ 0.00 %]\n", + "Adjust : 0.58165 [ 46.10 %]\n", + "Total : 1.2616 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.8%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.1026e-03 sec\n", + "--- Collate = 5.3076e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.237789e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.326360e-02 > 2.000000e-03 [41415]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41415/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.73] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00182974 [ 0.14 %]\n", + "Velocity : 0.0084788 [ 0.67 %]\n", + "Force : 0.486237 [ 38.20 %]\n", + "Coefs : 0.172293 [ 13.54 %]\n", + "Output : 0.0185894 [ 1.46 %]\n", + "Levels : 0.000471993 [ 0.04 %]\n", + "Report : 1.128e-06 [ 0.00 %]\n", + "Balance : 3.77e-07 [ 0.00 %]\n", + "Adjust : 0.584311 [ 45.90 %]\n", + "Total : 1.27291 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.4066e-03 sec\n", + "--- Collate = 8.0702e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.260720e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.325971e-02 > 2.000000e-03 [41390]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41390/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.732] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00185758 [ 0.14 %]\n", + "Velocity : 0.00808655 [ 0.63 %]\n", + "Force : 0.48406 [ 37.73 %]\n", + "Coefs : 0.172364 [ 13.44 %]\n", + "Output : 0.0259224 [ 2.02 %]\n", + "Levels : 0.000497091 [ 0.04 %]\n", + "Report : 1.376e-06 [ 0.00 %]\n", + "Balance : 4.71e-07 [ 0.00 %]\n", + "Adjust : 0.589392 [ 45.94 %]\n", + "Total : 1.28283 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.1302e-03 sec\n", + "--- Collate = 5.4430e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.635143e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.324932e-02 > 2.000000e-03 [41385]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41385/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.734] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00186095 [ 0.15 %]\n", + "Velocity : 0.00793922 [ 0.62 %]\n", + "Force : 0.492395 [ 38.59 %]\n", + "Coefs : 0.171994 [ 13.48 %]\n", + "Output : 0.0180068 [ 1.41 %]\n", + "Levels : 0.000515059 [ 0.04 %]\n", + "Report : 1.055e-06 [ 0.00 %]\n", + "Balance : 3.6e-07 [ 0.00 %]\n", + "Adjust : 0.582742 [ 45.67 %]\n", + "Total : 1.27611 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.0242e-03 sec\n", + "--- Collate = 5.5833e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.577873e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.324797e-02 > 2.000000e-03 [41351]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41351/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.736] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00188737 [ 0.15 %]\n", + "Velocity : 0.00811994 [ 0.64 %]\n", + "Force : 0.487514 [ 38.31 %]\n", + "Coefs : 0.171837 [ 13.50 %]\n", + "Output : 0.0184504 [ 1.45 %]\n", + "Levels : 0.000449701 [ 0.04 %]\n", + "Report : 9.96e-07 [ 0.00 %]\n", + "Balance : 3.47e-07 [ 0.00 %]\n", + "Adjust : 0.583813 [ 45.87 %]\n", + "Total : 1.27271 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.0%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 7.7905e-03 sec\n", + "--- Collate = 6.2069e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.198067e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.325577e-02 > 2.000000e-03 [41351]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41351/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.738] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00176327 [ 0.14 %]\n", + "Velocity : 0.00739637 [ 0.58 %]\n", + "Force : 0.482098 [ 38.05 %]\n", + "Coefs : 0.17602 [ 13.89 %]\n", + "Output : 0.0164026 [ 1.29 %]\n", + "Levels : 0.000478146 [ 0.04 %]\n", + "Report : 1.272e-06 [ 0.00 %]\n", + "Balance : 6.15e-07 [ 0.00 %]\n", + "Adjust : 0.582228 [ 45.95 %]\n", + "Total : 1.267 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.7471e-03 sec\n", + "--- Collate = 9.5558e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.527045e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.325877e-02 > 2.000000e-03 [41351]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41351/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.74] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000830081 [ 0.06 %]\n", + "Velocity : 0.0038354 [ 0.28 %]\n", + "Force : 0.490332 [ 36.21 %]\n", + "Coefs : 0.174986 [ 12.92 %]\n", + "Output : 0.0917314 [ 6.77 %]\n", + "Levels : 0.000277017 [ 0.02 %]\n", + "Report : 1.159e-06 [ 0.00 %]\n", + "Balance : 3.66e-07 [ 0.00 %]\n", + "Adjust : 0.591673 [ 43.70 %]\n", + "Total : 1.35406 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.9748e-03 sec\n", + "--- Collate = 6.5164e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.326154e-02 > 2.000000e-03 [41349]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41349/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.742] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00101531 [ 0.08 %]\n", + "Velocity : 0.0049982 [ 0.39 %]\n", + "Force : 0.502648 [ 39.01 %]\n", + "Coefs : 0.179312 [ 13.92 %]\n", + "Output : 0.0105625 [ 0.82 %]\n", + "Levels : 0.000380551 [ 0.03 %]\n", + "Report : 1.222e-06 [ 0.00 %]\n", + "Balance : 4.82e-07 [ 0.00 %]\n", + "Adjust : 0.589119 [ 45.72 %]\n", + "Total : 1.28853 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.8390e-03 sec\n", + "--- Collate = 5.5468e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.534616e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.325753e-02 > 2.000000e-03 [41361]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41361/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.744] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000940091 [ 0.07 %]\n", + "Velocity : 0.0041547 [ 0.32 %]\n", + "Force : 0.508446 [ 39.41 %]\n", + "Coefs : 0.180744 [ 14.01 %]\n", + "Output : 0.00942899 [ 0.73 %]\n", + "Levels : 0.000294513 [ 0.02 %]\n", + "Report : 9.65e-07 [ 0.00 %]\n", + "Balance : 5.76e-07 [ 0.00 %]\n", + "Adjust : 0.585673 [ 45.40 %]\n", + "Total : 1.2901 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.8563e-03 sec\n", + "--- Collate = 6.4815e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.712327e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.325729e-02 > 2.000000e-03 [41353]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41353/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.746] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000768148 [ 0.06 %]\n", + "Velocity : 0.00349263 [ 0.28 %]\n", + "Force : 0.483823 [ 39.06 %]\n", + "Coefs : 0.171581 [ 13.85 %]\n", + "Output : 0.00833747 [ 0.67 %]\n", + "Levels : 0.000290335 [ 0.02 %]\n", + "Report : 1.202e-06 [ 0.00 %]\n", + "Balance : 4.39e-07 [ 0.00 %]\n", + "Adjust : 0.570005 [ 46.02 %]\n", + "Total : 1.23868 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.5497e-03 sec\n", + "--- Collate = 5.7062e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.679119e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.325713e-02 > 2.000000e-03 [41361]\n", + "----------------------------------------------------------------------\n", + " Component | low: 1/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41361/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.748] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000832708 [ 0.07 %]\n", + "Velocity : 0.0037172 [ 0.30 %]\n", + "Force : 0.481898 [ 39.03 %]\n", + "Coefs : 0.173397 [ 14.04 %]\n", + "Output : 0.0079148 [ 0.64 %]\n", + "Levels : 0.000421294 [ 0.03 %]\n", + "Report : 9.45e-07 [ 0.00 %]\n", + "Balance : 5.02e-07 [ 0.00 %]\n", + "Adjust : 0.566067 [ 45.85 %]\n", + "Total : 1.23464 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.6896e-03 sec\n", + "--- Collate = 6.1299e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.453646e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.325630e-02 > 2.000000e-03 [41384]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41384/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.75] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000813266 [ 0.07 %]\n", + "Velocity : 0.00366141 [ 0.30 %]\n", + "Force : 0.474684 [ 38.71 %]\n", + "Coefs : 0.175926 [ 14.35 %]\n", + "Output : 0.00755643 [ 0.62 %]\n", + "Levels : 0.000412757 [ 0.03 %]\n", + "Report : 8.81e-07 [ 0.00 %]\n", + "Balance : 4.34e-07 [ 0.00 %]\n", + "Adjust : 0.562921 [ 45.90 %]\n", + "Total : 1.22635 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 7.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6257e-03 sec\n", + "--- Collate = 5.8816e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.506332e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.325006e-02 > 2.000000e-03 [41375]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41375/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.752] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000769732 [ 0.06 %]\n", + "Velocity : 0.00370397 [ 0.30 %]\n", + "Force : 0.490111 [ 39.22 %]\n", + "Coefs : 0.177239 [ 14.18 %]\n", + "Output : 0.007931 [ 0.63 %]\n", + "Levels : 0.000462981 [ 0.04 %]\n", + "Report : 1.053e-06 [ 0.00 %]\n", + "Balance : 5.17e-07 [ 0.00 %]\n", + "Adjust : 0.569089 [ 45.54 %]\n", + "Total : 1.24969 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.4333e-03 sec\n", + "--- Collate = 5.8184e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.478523e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.324720e-02 > 2.000000e-03 [41361]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41361/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.754] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000798315 [ 0.06 %]\n", + "Velocity : 0.00360248 [ 0.29 %]\n", + "Force : 0.497086 [ 39.34 %]\n", + "Coefs : 0.17978 [ 14.23 %]\n", + "Output : 0.00848594 [ 0.67 %]\n", + "Levels : 0.000336233 [ 0.03 %]\n", + "Report : 8.82e-07 [ 0.00 %]\n", + "Balance : 6.22e-07 [ 0.00 %]\n", + "Adjust : 0.573105 [ 45.36 %]\n", + "Total : 1.26359 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7567e-03 sec\n", + "--- Collate = 5.4753e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.324273e-02 > 2.000000e-03 [41370]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41370/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.756] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000803972 [ 0.06 %]\n", + "Velocity : 0.00350972 [ 0.28 %]\n", + "Force : 0.49149 [ 39.35 %]\n", + "Coefs : 0.176398 [ 14.12 %]\n", + "Output : 0.00796389 [ 0.64 %]\n", + "Levels : 0.000467497 [ 0.04 %]\n", + "Report : 9.86e-07 [ 0.00 %]\n", + "Balance : 5.27e-07 [ 0.00 %]\n", + "Adjust : 0.567859 [ 45.47 %]\n", + "Total : 1.24888 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6905e-03 sec\n", + "--- Collate = 6.1157e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.530437e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.323743e-02 > 2.000000e-03 [41369]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41369/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.758] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000781985 [ 0.06 %]\n", + "Velocity : 0.0037232 [ 0.30 %]\n", + "Force : 0.482308 [ 39.00 %]\n", + "Coefs : 0.175193 [ 14.17 %]\n", + "Output : 0.00800713 [ 0.65 %]\n", + "Levels : 0.000299786 [ 0.02 %]\n", + "Report : 1.046e-06 [ 0.00 %]\n", + "Balance : 4.87e-07 [ 0.00 %]\n", + "Adjust : 0.565876 [ 45.76 %]\n", + "Total : 1.23656 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.0512e-03 sec\n", + "--- Collate = 1.1712e-04 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.523614e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.323379e-02 > 2.000000e-03 [41355]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41355/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.76] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000779007 [ 0.06 %]\n", + "Velocity : 0.00380672 [ 0.28 %]\n", + "Force : 0.491217 [ 36.77 %]\n", + "Coefs : 0.177034 [ 13.25 %]\n", + "Output : 0.0932943 [ 6.98 %]\n", + "Levels : 0.000369231 [ 0.03 %]\n", + "Report : 1.193e-06 [ 0.00 %]\n", + "Balance : 4.89e-07 [ 0.00 %]\n", + "Adjust : 0.568979 [ 42.59 %]\n", + "Total : 1.33588 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.7597e-03 sec\n", + "--- Collate = 6.2000e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.579213e-06 < 7.812500e-06 [4]\n", + "--- Max DT=2.323574e-02 > 2.000000e-03 [41338]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 4/20000\n", + " Component | high: 41338/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.762] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00089877 [ 0.07 %]\n", + "Velocity : 0.00400887 [ 0.32 %]\n", + "Force : 0.493528 [ 39.53 %]\n", + "Coefs : 0.175063 [ 14.02 %]\n", + "Output : 0.00804149 [ 0.64 %]\n", + "Levels : 0.00030565 [ 0.02 %]\n", + "Report : 1.153e-06 [ 0.00 %]\n", + "Balance : 4.86e-07 [ 0.00 %]\n", + "Adjust : 0.566203 [ 45.35 %]\n", + "Total : 1.24843 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.8701e-03 sec\n", + "--- Collate = 6.4353e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.811872e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.324084e-02 > 2.000000e-03 [41322]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41322/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.764] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000769517 [ 0.06 %]\n", + "Velocity : 0.0036612 [ 0.29 %]\n", + "Force : 0.493865 [ 39.45 %]\n", + "Coefs : 0.175333 [ 14.01 %]\n", + "Output : 0.00830943 [ 0.66 %]\n", + "Levels : 0.000284084 [ 0.02 %]\n", + "Report : 8.72e-07 [ 0.00 %]\n", + "Balance : 5.69e-07 [ 0.00 %]\n", + "Adjust : 0.569251 [ 45.47 %]\n", + "Total : 1.25185 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.5851e-03 sec\n", + "--- Collate = 6.8887e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.975362e-06 < 7.812500e-06 [5]\n", + "--- Max DT=2.324079e-02 > 2.000000e-03 [41325]\n", + "----------------------------------------------------------------------\n", + " Component | low: 1/60000\n", + " Component | low: 4/20000\n", + " Component | high: 41325/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.766] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000825521 [ 0.07 %]\n", + "Velocity : 0.0038148 [ 0.30 %]\n", + "Force : 0.49608 [ 39.55 %]\n", + "Coefs : 0.179101 [ 14.28 %]\n", + "Output : 0.00858539 [ 0.68 %]\n", + "Levels : 0.00032081 [ 0.03 %]\n", + "Report : 1.082e-06 [ 0.00 %]\n", + "Balance : 4.57e-07 [ 0.00 %]\n", + "Adjust : 0.565325 [ 45.07 %]\n", + "Total : 1.25444 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6913e-03 sec\n", + "--- Collate = 6.2986e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.324047e-02 > 2.000000e-03 [41303]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41303/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.768] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000858535 [ 0.07 %]\n", + "Velocity : 0.00396899 [ 0.32 %]\n", + "Force : 0.484484 [ 38.76 %]\n", + "Coefs : 0.175563 [ 14.05 %]\n", + "Output : 0.00920524 [ 0.74 %]\n", + "Levels : 0.000347918 [ 0.03 %]\n", + "Report : 1.146e-06 [ 0.00 %]\n", + "Balance : 5.37e-07 [ 0.00 %]\n", + "Adjust : 0.575051 [ 46.01 %]\n", + "Total : 1.2499 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.8161e-03 sec\n", + "--- Collate = 6.0946e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.624906e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.324088e-02 > 2.000000e-03 [41306]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41306/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.77] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00080086 [ 0.06 %]\n", + "Velocity : 0.00372605 [ 0.30 %]\n", + "Force : 0.486514 [ 38.87 %]\n", + "Coefs : 0.174573 [ 13.95 %]\n", + "Output : 0.00933848 [ 0.75 %]\n", + "Levels : 0.000315576 [ 0.03 %]\n", + "Report : 1.081e-06 [ 0.00 %]\n", + "Balance : 3.33e-07 [ 0.00 %]\n", + "Adjust : 0.575885 [ 46.01 %]\n", + "Total : 1.25157 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.5254e-03 sec\n", + "--- Collate = 5.8462e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.323811e-02 > 2.000000e-03 [41314]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41314/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.772] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000831712 [ 0.07 %]\n", + "Velocity : 0.00367119 [ 0.30 %]\n", + "Force : 0.480816 [ 39.11 %]\n", + "Coefs : 0.172462 [ 14.03 %]\n", + "Output : 0.00880587 [ 0.72 %]\n", + "Levels : 0.000369416 [ 0.03 %]\n", + "Report : 1.042e-06 [ 0.00 %]\n", + "Balance : 3.31e-07 [ 0.00 %]\n", + "Adjust : 0.561906 [ 45.71 %]\n", + "Total : 1.22926 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6129e-03 sec\n", + "--- Collate = 6.5167e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.430350e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.323474e-02 > 2.000000e-03 [41299]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41299/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.774] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000767596 [ 0.06 %]\n", + "Velocity : 0.00388245 [ 0.31 %]\n", + "Force : 0.485494 [ 39.03 %]\n", + "Coefs : 0.176807 [ 14.21 %]\n", + "Output : 0.0092112 [ 0.74 %]\n", + "Levels : 0.000321783 [ 0.03 %]\n", + "Report : 1.046e-06 [ 0.00 %]\n", + "Balance : 1.7378e-05 [ 0.00 %]\n", + "Adjust : 0.566914 [ 45.58 %]\n", + "Total : 1.24382 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.5184e-03 sec\n", + "--- Collate = 5.5918e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.323684e-02 > 2.000000e-03 [41277]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41277/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.776] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000817785 [ 0.07 %]\n", + "Velocity : 0.00373767 [ 0.30 %]\n", + "Force : 0.480028 [ 38.99 %]\n", + "Coefs : 0.173229 [ 14.07 %]\n", + "Output : 0.00836063 [ 0.68 %]\n", + "Levels : 0.000303775 [ 0.02 %]\n", + "Report : 9.86e-07 [ 0.00 %]\n", + "Balance : 5.51e-07 [ 0.00 %]\n", + "Adjust : 0.56416 [ 45.83 %]\n", + "Total : 1.23103 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.0241e-03 sec\n", + "--- Collate = 5.9757e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.323862e-02 > 2.000000e-03 [41280]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41280/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.778] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000786754 [ 0.06 %]\n", + "Velocity : 0.00366424 [ 0.30 %]\n", + "Force : 0.479791 [ 38.93 %]\n", + "Coefs : 0.174525 [ 14.16 %]\n", + "Output : 0.00791507 [ 0.64 %]\n", + "Levels : 0.000360671 [ 0.03 %]\n", + "Report : 9.71e-07 [ 0.00 %]\n", + "Balance : 4.08e-07 [ 0.00 %]\n", + "Adjust : 0.564851 [ 45.84 %]\n", + "Total : 1.23229 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6210e-03 sec\n", + "--- Collate = 6.3323e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.784412e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.323652e-02 > 2.000000e-03 [41259]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41259/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.78] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000786947 [ 0.06 %]\n", + "Velocity : 0.00386395 [ 0.29 %]\n", + "Force : 0.488899 [ 36.94 %]\n", + "Coefs : 0.177608 [ 13.42 %]\n", + "Output : 0.0850272 [ 6.42 %]\n", + "Levels : 0.000301449 [ 0.02 %]\n", + "Report : 8.67e-07 [ 0.00 %]\n", + "Balance : 4.41e-07 [ 0.00 %]\n", + "Adjust : 0.566806 [ 42.82 %]\n", + "Total : 1.32367 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.4999e-03 sec\n", + "--- Collate = 6.5075e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.778742e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.323766e-02 > 2.000000e-03 [41239]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41239/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.782] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000847385 [ 0.07 %]\n", + "Velocity : 0.00406542 [ 0.33 %]\n", + "Force : 0.481431 [ 39.08 %]\n", + "Coefs : 0.173801 [ 14.11 %]\n", + "Output : 0.00816685 [ 0.66 %]\n", + "Levels : 0.00032787 [ 0.03 %]\n", + "Report : 1.049e-06 [ 0.00 %]\n", + "Balance : 4.99e-07 [ 0.00 %]\n", + "Adjust : 0.562946 [ 45.70 %]\n", + "Total : 1.23196 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.6813e-03 sec\n", + "--- Collate = 6.0570e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.632662e-06 < 7.812500e-06 [5]\n", + "--- Max DT=2.323591e-02 > 2.000000e-03 [41228]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 5/20000\n", + " Component | high: 41228/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.784] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000804817 [ 0.06 %]\n", + "Velocity : 0.00386522 [ 0.31 %]\n", + "Force : 0.486007 [ 39.16 %]\n", + "Coefs : 0.174447 [ 14.06 %]\n", + "Output : 0.00818359 [ 0.66 %]\n", + "Levels : 0.000319667 [ 0.03 %]\n", + "Report : 9e-07 [ 0.00 %]\n", + "Balance : 4.26e-07 [ 0.00 %]\n", + "Adjust : 0.566956 [ 45.69 %]\n", + "Total : 1.24099 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.8726e-03 sec\n", + "--- Collate = 6.3689e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.125848e-07 < 7.812500e-06 [4]\n", + "--- Max DT=2.323640e-02 > 2.000000e-03 [41228]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 4/20000\n", + " Component | high: 41228/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.786] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000729199 [ 0.06 %]\n", + "Velocity : 0.0035346 [ 0.28 %]\n", + "Force : 0.485195 [ 38.84 %]\n", + "Coefs : 0.17413 [ 13.94 %]\n", + "Output : 0.0164571 [ 1.32 %]\n", + "Levels : 0.000363408 [ 0.03 %]\n", + "Report : 1.081e-06 [ 0.00 %]\n", + "Balance : 3.97e-07 [ 0.00 %]\n", + "Adjust : 0.568412 [ 45.50 %]\n", + "Total : 1.24921 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.2980e-03 sec\n", + "--- Collate = 5.2518e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.194620e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.324059e-02 > 2.000000e-03 [41249]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41249/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.788] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00176074 [ 0.14 %]\n", + "Velocity : 0.00808305 [ 0.64 %]\n", + "Force : 0.484175 [ 38.16 %]\n", + "Coefs : 0.171711 [ 13.53 %]\n", + "Output : 0.0188872 [ 1.49 %]\n", + "Levels : 0.000569345 [ 0.04 %]\n", + "Report : 9.63e-07 [ 0.00 %]\n", + "Balance : 4.99e-07 [ 0.00 %]\n", + "Adjust : 0.58306 [ 45.95 %]\n", + "Total : 1.2689 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.8%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.0440e-03 sec\n", + "--- Collate = 9.7764e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.127335e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.323887e-02 > 2.000000e-03 [41251]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41251/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.79] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00183373 [ 0.14 %]\n", + "Velocity : 0.00844401 [ 0.66 %]\n", + "Force : 0.483625 [ 38.08 %]\n", + "Coefs : 0.170979 [ 13.46 %]\n", + "Output : 0.0188617 [ 1.49 %]\n", + "Levels : 0.000574073 [ 0.05 %]\n", + "Report : 8.72e-07 [ 0.00 %]\n", + "Balance : 4.18e-07 [ 0.00 %]\n", + "Adjust : 0.585062 [ 46.07 %]\n", + "Total : 1.26999 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.2151e-03 sec\n", + "--- Collate = 5.8260e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.610904e-06 < 7.812500e-06 [4]\n", + "--- Max DT=2.324023e-02 > 2.000000e-03 [41241]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 4/20000\n", + " Component | high: 41241/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.792] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00180487 [ 0.14 %]\n", + "Velocity : 0.00812545 [ 0.64 %]\n", + "Force : 0.483424 [ 38.06 %]\n", + "Coefs : 0.171754 [ 13.52 %]\n", + "Output : 0.0192587 [ 1.52 %]\n", + "Levels : 0.000489196 [ 0.04 %]\n", + "Report : 1.14e-06 [ 0.00 %]\n", + "Balance : 4.6e-07 [ 0.00 %]\n", + "Adjust : 0.584531 [ 46.03 %]\n", + "Total : 1.27 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.2307e-03 sec\n", + "--- Collate = 5.6607e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.975094e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.323824e-02 > 2.000000e-03 [41240]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41240/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.794] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00188764 [ 0.15 %]\n", + "Velocity : 0.00812129 [ 0.65 %]\n", + "Force : 0.477068 [ 37.90 %]\n", + "Coefs : 0.171246 [ 13.60 %]\n", + "Output : 0.0187672 [ 1.49 %]\n", + "Levels : 0.000531621 [ 0.04 %]\n", + "Report : 8.67e-07 [ 0.00 %]\n", + "Balance : 4.76e-07 [ 0.00 %]\n", + "Adjust : 0.580555 [ 46.12 %]\n", + "Total : 1.25878 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 6.9901e-03 sec\n", + "--- Collate = 5.1849e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.323302e-02 > 2.000000e-03 [41235]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41235/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.796] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00176492 [ 0.14 %]\n", + "Velocity : 0.00799737 [ 0.63 %]\n", + "Force : 0.480549 [ 37.95 %]\n", + "Coefs : 0.169838 [ 13.41 %]\n", + "Output : 0.0185773 [ 1.47 %]\n", + "Levels : 0.000485977 [ 0.04 %]\n", + "Report : 1.056e-06 [ 0.00 %]\n", + "Balance : 3.99e-07 [ 0.00 %]\n", + "Adjust : 0.586349 [ 46.31 %]\n", + "Total : 1.26615 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.2%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 7.3844e-03 sec\n", + "--- Collate = 5.8132e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.373502e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.322664e-02 > 2.000000e-03 [41240]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41240/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.798] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0018037 [ 0.14 %]\n", + "Velocity : 0.00836199 [ 0.66 %]\n", + "Force : 0.474484 [ 37.57 %]\n", + "Coefs : 0.170207 [ 13.48 %]\n", + "Output : 0.0257857 [ 2.04 %]\n", + "Levels : 0.000458317 [ 0.04 %]\n", + "Report : 9.75e-07 [ 0.00 %]\n", + "Balance : 4.72e-07 [ 0.00 %]\n", + "Adjust : 0.581288 [ 46.03 %]\n", + "Total : 1.26298 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.9374e-03 sec\n", + "--- Collate = 6.6941e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.445724e-06 < 7.812500e-06 [8]\n", + "--- Max DT=2.322209e-02 > 2.000000e-03 [41216]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 8/20000\n", + " Component | high: 41216/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.8] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00175612 [ 0.12 %]\n", + "Velocity : 0.00710454 [ 0.49 %]\n", + "Force : 0.484488 [ 33.38 %]\n", + "Coefs : 0.174782 [ 12.04 %]\n", + "Output : 0.200077 [ 13.79 %]\n", + "Levels : 0.000467092 [ 0.03 %]\n", + "Report : 1.692e-06 [ 0.00 %]\n", + "Balance : 4.63e-07 [ 0.00 %]\n", + "Adjust : 0.582024 [ 40.10 %]\n", + "Total : 1.4513 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.3867e-03 sec\n", + "--- Collate = 6.1721e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.567524e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.322540e-02 > 2.000000e-03 [41225]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41225/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.802] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00096093 [ 0.08 %]\n", + "Velocity : 0.00410919 [ 0.33 %]\n", + "Force : 0.481006 [ 39.06 %]\n", + "Coefs : 0.174309 [ 14.15 %]\n", + "Output : 0.00843131 [ 0.68 %]\n", + "Levels : 0.0002964 [ 0.02 %]\n", + "Report : 1.254e-06 [ 0.00 %]\n", + "Balance : 6.26e-07 [ 0.00 %]\n", + "Adjust : 0.56206 [ 45.64 %]\n", + "Total : 1.23156 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.5844e-03 sec\n", + "--- Collate = 6.1365e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.322881e-02 > 2.000000e-03 [41224]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41224/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.804] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000845659 [ 0.07 %]\n", + "Velocity : 0.00358566 [ 0.29 %]\n", + "Force : 0.483372 [ 39.04 %]\n", + "Coefs : 0.174874 [ 14.12 %]\n", + "Output : 0.0077359 [ 0.62 %]\n", + "Levels : 0.000348568 [ 0.03 %]\n", + "Report : 1.05e-06 [ 0.00 %]\n", + "Balance : 5.38e-07 [ 0.00 %]\n", + "Adjust : 0.567031 [ 45.80 %]\n", + "Total : 1.23817 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7451e-03 sec\n", + "--- Collate = 5.8037e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.129918e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.323676e-02 > 2.000000e-03 [41229]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41229/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.806] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00085328 [ 0.07 %]\n", + "Velocity : 0.00394779 [ 0.31 %]\n", + "Force : 0.487243 [ 38.61 %]\n", + "Coefs : 0.177973 [ 14.10 %]\n", + "Output : 0.0165882 [ 1.31 %]\n", + "Levels : 0.00043847 [ 0.03 %]\n", + "Report : 1.007e-06 [ 0.00 %]\n", + "Balance : 3.15e-07 [ 0.00 %]\n", + "Adjust : 0.574507 [ 45.52 %]\n", + "Total : 1.26197 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.5453e-03 sec\n", + "--- Collate = 5.8176e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.502901e-06 < 7.812500e-06 [4]\n", + "--- Max DT=2.324205e-02 > 2.000000e-03 [41206]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 4/20000\n", + " Component | high: 41206/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.808] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000839266 [ 0.07 %]\n", + "Velocity : 0.00397547 [ 0.32 %]\n", + "Force : 0.491181 [ 39.18 %]\n", + "Coefs : 0.177474 [ 14.16 %]\n", + "Output : 0.00822272 [ 0.66 %]\n", + "Levels : 0.000488498 [ 0.04 %]\n", + "Report : 1.371e-06 [ 0.00 %]\n", + "Balance : 5.33e-07 [ 0.00 %]\n", + "Adjust : 0.570977 [ 45.55 %]\n", + "Total : 1.25358 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.4856e-03 sec\n", + "--- Collate = 5.8677e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.129331e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.323950e-02 > 2.000000e-03 [41200]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41200/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.81] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00079801 [ 0.07 %]\n", + "Velocity : 0.00377571 [ 0.31 %]\n", + "Force : 0.474861 [ 38.79 %]\n", + "Coefs : 0.171901 [ 14.04 %]\n", + "Output : 0.00823984 [ 0.67 %]\n", + "Levels : 0.000336287 [ 0.03 %]\n", + "Report : 1.072e-06 [ 0.00 %]\n", + "Balance : 5.41e-07 [ 0.00 %]\n", + "Adjust : 0.563961 [ 46.06 %]\n", + "Total : 1.22429 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.6579e-03 sec\n", + "--- Collate = 6.2700e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.927070e-07 < 7.812500e-06 [4]\n", + "--- Max DT=2.323239e-02 > 2.000000e-03 [41219]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 4/20000\n", + " Component | high: 41219/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.812] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000842418 [ 0.07 %]\n", + "Velocity : 0.00401609 [ 0.32 %]\n", + "Force : 0.484952 [ 38.90 %]\n", + "Coefs : 0.176408 [ 14.15 %]\n", + "Output : 0.00943842 [ 0.76 %]\n", + "Levels : 0.000350733 [ 0.03 %]\n", + "Report : 1.192e-06 [ 0.00 %]\n", + "Balance : 3.48e-07 [ 0.00 %]\n", + "Adjust : 0.570288 [ 45.74 %]\n", + "Total : 1.24673 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7887e-03 sec\n", + "--- Collate = 5.8030e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.711514e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.322458e-02 > 2.000000e-03 [41215]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41215/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.814] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000776238 [ 0.06 %]\n", + "Velocity : 0.00354452 [ 0.29 %]\n", + "Force : 0.477836 [ 38.74 %]\n", + "Coefs : 0.176287 [ 14.29 %]\n", + "Output : 0.00829032 [ 0.67 %]\n", + "Levels : 0.000294601 [ 0.02 %]\n", + "Report : 9.13e-07 [ 0.00 %]\n", + "Balance : 3.87e-07 [ 0.00 %]\n", + "Adjust : 0.56611 [ 45.89 %]\n", + "Total : 1.23353 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.8673e-03 sec\n", + "--- Collate = 6.6577e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.608924e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.321953e-02 > 2.000000e-03 [41224]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41224/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.816] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000847694 [ 0.07 %]\n", + "Velocity : 0.0039785 [ 0.31 %]\n", + "Force : 0.495218 [ 39.15 %]\n", + "Coefs : 0.178854 [ 14.14 %]\n", + "Output : 0.00917606 [ 0.73 %]\n", + "Levels : 0.000352085 [ 0.03 %]\n", + "Report : 1.265e-06 [ 0.00 %]\n", + "Balance : 4.29e-07 [ 0.00 %]\n", + "Adjust : 0.576168 [ 45.55 %]\n", + "Total : 1.26502 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7445e-03 sec\n", + "--- Collate = 5.8152e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.430137e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.321595e-02 > 2.000000e-03 [41208]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41208/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.818] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00082238 [ 0.07 %]\n", + "Velocity : 0.00400118 [ 0.32 %]\n", + "Force : 0.487137 [ 39.07 %]\n", + "Coefs : 0.180668 [ 14.49 %]\n", + "Output : 0.0079868 [ 0.64 %]\n", + "Levels : 0.000311837 [ 0.03 %]\n", + "Report : 1.155e-06 [ 0.00 %]\n", + "Balance : 4.26e-07 [ 0.00 %]\n", + "Adjust : 0.565636 [ 45.36 %]\n", + "Total : 1.24695 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.5524e-03 sec\n", + "--- Collate = 6.2902e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.322202e-02 > 2.000000e-03 [41192]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41192/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.82] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000721542 [ 0.06 %]\n", + "Velocity : 0.00358024 [ 0.27 %]\n", + "Force : 0.477938 [ 36.69 %]\n", + "Coefs : 0.173613 [ 13.33 %]\n", + "Output : 0.0859685 [ 6.60 %]\n", + "Levels : 0.000312759 [ 0.02 %]\n", + "Report : 9.73e-07 [ 0.00 %]\n", + "Balance : 4.58e-07 [ 0.00 %]\n", + "Adjust : 0.559992 [ 42.99 %]\n", + "Total : 1.30252 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.8094e-03 sec\n", + "--- Collate = 6.3487e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.322937e-02 > 2.000000e-03 [41205]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41205/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.822] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000791609 [ 0.06 %]\n", + "Velocity : 0.0038973 [ 0.32 %]\n", + "Force : 0.483154 [ 39.19 %]\n", + "Coefs : 0.174289 [ 14.14 %]\n", + "Output : 0.00858544 [ 0.70 %]\n", + "Levels : 0.000336776 [ 0.03 %]\n", + "Report : 1.952e-06 [ 0.00 %]\n", + "Balance : 3.46e-07 [ 0.00 %]\n", + "Adjust : 0.561351 [ 45.53 %]\n", + "Total : 1.23281 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.5997e-03 sec\n", + "--- Collate = 6.2902e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.571969e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.323027e-02 > 2.000000e-03 [41199]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41199/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.824] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00077238 [ 0.06 %]\n", + "Velocity : 0.0036445 [ 0.29 %]\n", + "Force : 0.494583 [ 39.21 %]\n", + "Coefs : 0.177722 [ 14.09 %]\n", + "Output : 0.015709 [ 1.25 %]\n", + "Levels : 0.000370254 [ 0.03 %]\n", + "Report : 1.106e-06 [ 0.00 %]\n", + "Balance : 4.3e-07 [ 0.00 %]\n", + "Adjust : 0.568124 [ 45.04 %]\n", + "Total : 1.26134 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.5631e-03 sec\n", + "--- Collate = 6.2786e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.322872e-02 > 2.000000e-03 [41174]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41174/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.826] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000773474 [ 0.06 %]\n", + "Velocity : 0.00376637 [ 0.30 %]\n", + "Force : 0.496261 [ 39.48 %]\n", + "Coefs : 0.175775 [ 13.98 %]\n", + "Output : 0.00903701 [ 0.72 %]\n", + "Levels : 0.000370081 [ 0.03 %]\n", + "Report : 1.067e-06 [ 0.00 %]\n", + "Balance : 5.67e-07 [ 0.00 %]\n", + "Adjust : 0.570586 [ 45.39 %]\n", + "Total : 1.25698 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7056e-03 sec\n", + "--- Collate = 6.1331e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.221214e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.322568e-02 > 2.000000e-03 [41179]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41179/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.828] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000825452 [ 0.07 %]\n", + "Velocity : 0.00375948 [ 0.30 %]\n", + "Force : 0.491094 [ 39.17 %]\n", + "Coefs : 0.177621 [ 14.17 %]\n", + "Output : 0.00863082 [ 0.69 %]\n", + "Levels : 0.000449408 [ 0.04 %]\n", + "Report : 1.25e-06 [ 0.00 %]\n", + "Balance : 3.63e-07 [ 0.00 %]\n", + "Adjust : 0.570998 [ 45.54 %]\n", + "Total : 1.25379 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.5432e-03 sec\n", + "--- Collate = 5.3470e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.506028e-06 < 7.812500e-06 [5]\n", + "--- Max DT=2.322353e-02 > 2.000000e-03 [41167]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 5/20000\n", + " Component | high: 41167/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.83] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000814594 [ 0.07 %]\n", + "Velocity : 0.00371619 [ 0.30 %]\n", + "Force : 0.489133 [ 39.39 %]\n", + "Coefs : 0.175432 [ 14.13 %]\n", + "Output : 0.00814822 [ 0.66 %]\n", + "Levels : 0.000252106 [ 0.02 %]\n", + "Report : 1.286e-06 [ 0.00 %]\n", + "Balance : 3.86e-07 [ 0.00 %]\n", + "Adjust : 0.563834 [ 45.41 %]\n", + "Total : 1.24172 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7774e-03 sec\n", + "--- Collate = 6.1827e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.322518e-02 > 2.000000e-03 [41192]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41192/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.832] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000736689 [ 0.06 %]\n", + "Velocity : 0.00338384 [ 0.27 %]\n", + "Force : 0.488278 [ 39.27 %]\n", + "Coefs : 0.177106 [ 14.24 %]\n", + "Output : 0.00816 [ 0.66 %]\n", + "Levels : 0.000379795 [ 0.03 %]\n", + "Report : 1.298e-06 [ 0.00 %]\n", + "Balance : 4.39e-07 [ 0.00 %]\n", + "Adjust : 0.564866 [ 45.43 %]\n", + "Total : 1.24329 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.5489e-03 sec\n", + "--- Collate = 5.9997e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.322524e-02 > 2.000000e-03 [41200]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41200/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.834] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000795406 [ 0.06 %]\n", + "Velocity : 0.00359501 [ 0.29 %]\n", + "Force : 0.494585 [ 39.23 %]\n", + "Coefs : 0.17828 [ 14.14 %]\n", + "Output : 0.00854493 [ 0.68 %]\n", + "Levels : 0.000496558 [ 0.04 %]\n", + "Report : 1.115e-06 [ 0.00 %]\n", + "Balance : 5.1e-07 [ 0.00 %]\n", + "Adjust : 0.574123 [ 45.54 %]\n", + "Total : 1.26082 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.8279e-03 sec\n", + "--- Collate = 5.5417e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.203967e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.322576e-02 > 2.000000e-03 [41203]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41203/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.836] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000826106 [ 0.07 %]\n", + "Velocity : 0.003841 [ 0.31 %]\n", + "Force : 0.485372 [ 39.07 %]\n", + "Coefs : 0.176586 [ 14.22 %]\n", + "Output : 0.00817813 [ 0.66 %]\n", + "Levels : 0.000314635 [ 0.03 %]\n", + "Report : 1.06e-06 [ 0.00 %]\n", + "Balance : 3.17e-07 [ 0.00 %]\n", + "Adjust : 0.566678 [ 45.62 %]\n", + "Total : 1.24219 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7584e-03 sec\n", + "--- Collate = 6.8729e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.538104e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.322121e-02 > 2.000000e-03 [41200]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41200/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.838] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000799485 [ 0.06 %]\n", + "Velocity : 0.00377535 [ 0.30 %]\n", + "Force : 0.498438 [ 39.51 %]\n", + "Coefs : 0.176362 [ 13.98 %]\n", + "Output : 0.00864374 [ 0.69 %]\n", + "Levels : 0.000496394 [ 0.04 %]\n", + "Report : 8.53e-07 [ 0.00 %]\n", + "Balance : 5.52e-07 [ 0.00 %]\n", + "Adjust : 0.572751 [ 45.40 %]\n", + "Total : 1.26169 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.3735e-03 sec\n", + "--- Collate = 2.0771e-04 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.315577e-06 < 7.812500e-06 [4]\n", + "--- Max DT=2.322580e-02 > 2.000000e-03 [41202]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 4/20000\n", + " Component | high: 41202/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.84] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000839178 [ 0.06 %]\n", + "Velocity : 0.00352985 [ 0.27 %]\n", + "Force : 0.489096 [ 36.87 %]\n", + "Coefs : 0.175731 [ 13.25 %]\n", + "Output : 0.0876799 [ 6.61 %]\n", + "Levels : 0.000306284 [ 0.02 %]\n", + "Report : 7.5e-07 [ 0.00 %]\n", + "Balance : 3.47e-07 [ 0.00 %]\n", + "Adjust : 0.568929 [ 42.89 %]\n", + "Total : 1.3265 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.6812e-03 sec\n", + "--- Collate = 6.4193e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.323293e-02 > 2.000000e-03 [41201]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41201/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.842] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00109186 [ 0.09 %]\n", + "Velocity : 0.00384511 [ 0.31 %]\n", + "Force : 0.479472 [ 38.96 %]\n", + "Coefs : 0.173226 [ 14.08 %]\n", + "Output : 0.00802866 [ 0.65 %]\n", + "Levels : 0.000305106 [ 0.02 %]\n", + "Report : 8.94e-07 [ 0.00 %]\n", + "Balance : 4.54e-07 [ 0.00 %]\n", + "Adjust : 0.564253 [ 45.85 %]\n", + "Total : 1.23061 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.3900e-03 sec\n", + "--- Collate = 5.8133e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.095646e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.323017e-02 > 2.000000e-03 [41187]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41187/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.844] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000809378 [ 0.06 %]\n", + "Velocity : 0.00388972 [ 0.31 %]\n", + "Force : 0.495392 [ 39.42 %]\n", + "Coefs : 0.179091 [ 14.25 %]\n", + "Output : 0.00831448 [ 0.66 %]\n", + "Levels : 0.000426392 [ 0.03 %]\n", + "Report : 8.28e-07 [ 0.00 %]\n", + "Balance : 6.12e-07 [ 0.00 %]\n", + "Adjust : 0.568235 [ 45.22 %]\n", + "Total : 1.25657 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.4464e-03 sec\n", + "--- Collate = 6.4925e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.687532e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.322719e-02 > 2.000000e-03 [41184]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41184/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.846] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000833208 [ 0.06 %]\n", + "Velocity : 0.00397497 [ 0.31 %]\n", + "Force : 0.511798 [ 39.81 %]\n", + "Coefs : 0.183294 [ 14.26 %]\n", + "Output : 0.00888737 [ 0.69 %]\n", + "Levels : 0.000436287 [ 0.03 %]\n", + "Report : 1.092e-06 [ 0.00 %]\n", + "Balance : 5.35e-07 [ 0.00 %]\n", + "Adjust : 0.575928 [ 44.80 %]\n", + "Total : 1.28556 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.5400e-03 sec\n", + "--- Collate = 6.1892e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.808923e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.322867e-02 > 2.000000e-03 [41184]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41184/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.848] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000800635 [ 0.06 %]\n", + "Velocity : 0.0041254 [ 0.33 %]\n", + "Force : 0.493523 [ 39.16 %]\n", + "Coefs : 0.180253 [ 14.30 %]\n", + "Output : 0.00913264 [ 0.72 %]\n", + "Levels : 0.000329774 [ 0.03 %]\n", + "Report : 1.049e-06 [ 0.00 %]\n", + "Balance : 3.6e-07 [ 0.00 %]\n", + "Adjust : 0.571654 [ 45.36 %]\n", + "Total : 1.26022 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.6473e-03 sec\n", + "--- Collate = 5.8623e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.322192e-02 > 2.000000e-03 [41168]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41168/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.85] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000757993 [ 0.06 %]\n", + "Velocity : 0.00373971 [ 0.30 %]\n", + "Force : 0.499991 [ 39.50 %]\n", + "Coefs : 0.17906 [ 14.15 %]\n", + "Output : 0.00838273 [ 0.66 %]\n", + "Levels : 0.00033822 [ 0.03 %]\n", + "Report : 9.04e-07 [ 0.00 %]\n", + "Balance : 5.79e-07 [ 0.00 %]\n", + "Adjust : 0.572973 [ 45.27 %]\n", + "Total : 1.26564 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.6361e-03 sec\n", + "--- Collate = 5.7661e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.383586e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.321678e-02 > 2.000000e-03 [41167]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41167/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.852] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000839931 [ 0.07 %]\n", + "Velocity : 0.00372375 [ 0.30 %]\n", + "Force : 0.497223 [ 39.43 %]\n", + "Coefs : 0.179261 [ 14.21 %]\n", + "Output : 0.00866337 [ 0.69 %]\n", + "Levels : 0.000331365 [ 0.03 %]\n", + "Report : 9.56e-07 [ 0.00 %]\n", + "Balance : 5.08e-07 [ 0.00 %]\n", + "Adjust : 0.570625 [ 45.25 %]\n", + "Total : 1.26108 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6303e-03 sec\n", + "--- Collate = 5.7243e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.602263e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.320907e-02 > 2.000000e-03 [41151]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41151/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.854] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000772644 [ 0.06 %]\n", + "Velocity : 0.00359107 [ 0.29 %]\n", + "Force : 0.492771 [ 39.28 %]\n", + "Coefs : 0.178468 [ 14.23 %]\n", + "Output : 0.00858433 [ 0.68 %]\n", + "Levels : 0.000300005 [ 0.02 %]\n", + "Report : 9.01e-07 [ 0.00 %]\n", + "Balance : 5.87e-07 [ 0.00 %]\n", + "Adjust : 0.569515 [ 45.40 %]\n", + "Total : 1.25442 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7410e-03 sec\n", + "--- Collate = 7.0271e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.288859e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.320444e-02 > 2.000000e-03 [41142]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41142/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.856] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000757803 [ 0.06 %]\n", + "Velocity : 0.00364901 [ 0.29 %]\n", + "Force : 0.492476 [ 39.18 %]\n", + "Coefs : 0.180157 [ 14.33 %]\n", + "Output : 0.00869453 [ 0.69 %]\n", + "Levels : 0.000393737 [ 0.03 %]\n", + "Report : 9.15e-07 [ 0.00 %]\n", + "Balance : 3.73e-07 [ 0.00 %]\n", + "Adjust : 0.570327 [ 45.38 %]\n", + "Total : 1.25687 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.7989e-03 sec\n", + "--- Collate = 6.0195e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.158885e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.320018e-02 > 2.000000e-03 [41152]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41152/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.858] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00076935 [ 0.06 %]\n", + "Velocity : 0.00382836 [ 0.31 %]\n", + "Force : 0.479694 [ 38.81 %]\n", + "Coefs : 0.174877 [ 14.15 %]\n", + "Output : 0.00812958 [ 0.66 %]\n", + "Levels : 0.000332008 [ 0.03 %]\n", + "Report : 8.84e-07 [ 0.00 %]\n", + "Balance : 5.62e-07 [ 0.00 %]\n", + "Adjust : 0.568144 [ 45.96 %]\n", + "Total : 1.23616 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.4899e-03 sec\n", + "--- Collate = 6.0060e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.291080e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.320292e-02 > 2.000000e-03 [41177]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41177/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.86] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000825907 [ 0.06 %]\n", + "Velocity : 0.00391391 [ 0.29 %]\n", + "Force : 0.493351 [ 36.84 %]\n", + "Coefs : 0.178279 [ 13.31 %]\n", + "Output : 0.0902328 [ 6.74 %]\n", + "Levels : 0.000306005 [ 0.02 %]\n", + "Report : 9.66e-07 [ 0.00 %]\n", + "Balance : 3.12e-07 [ 0.00 %]\n", + "Adjust : 0.571975 [ 42.71 %]\n", + "Total : 1.33929 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.3718e-03 sec\n", + "--- Collate = 6.2259e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.344278e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.320356e-02 > 2.000000e-03 [41179]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41179/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.862] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000879434 [ 0.07 %]\n", + "Velocity : 0.00414752 [ 0.32 %]\n", + "Force : 0.508892 [ 39.78 %]\n", + "Coefs : 0.180476 [ 14.11 %]\n", + "Output : 0.00856209 [ 0.67 %]\n", + "Levels : 0.000336221 [ 0.03 %]\n", + "Report : 8.73e-07 [ 0.00 %]\n", + "Balance : 3.44e-07 [ 0.00 %]\n", + "Adjust : 0.575662 [ 45.00 %]\n", + "Total : 1.27936 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.4315e-03 sec\n", + "--- Collate = 5.6594e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.077581e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.320388e-02 > 2.000000e-03 [41164]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41164/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.864] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000843113 [ 0.07 %]\n", + "Velocity : 0.00394692 [ 0.31 %]\n", + "Force : 0.49326 [ 39.24 %]\n", + "Coefs : 0.180228 [ 14.34 %]\n", + "Output : 0.00827588 [ 0.66 %]\n", + "Levels : 0.000299558 [ 0.02 %]\n", + "Report : 1.142e-06 [ 0.00 %]\n", + "Balance : 6.21e-07 [ 0.00 %]\n", + "Adjust : 0.569784 [ 45.33 %]\n", + "Total : 1.25704 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.5287e-03 sec\n", + "--- Collate = 7.1747e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.820659e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.320372e-02 > 2.000000e-03 [41150]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41150/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.866] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000843385 [ 0.07 %]\n", + "Velocity : 0.00386611 [ 0.31 %]\n", + "Force : 0.496998 [ 39.44 %]\n", + "Coefs : 0.179123 [ 14.21 %]\n", + "Output : 0.00848827 [ 0.67 %]\n", + "Levels : 0.000334308 [ 0.03 %]\n", + "Report : 1.021e-06 [ 0.00 %]\n", + "Balance : 5.08e-07 [ 0.00 %]\n", + "Adjust : 0.570185 [ 45.24 %]\n", + "Total : 1.26024 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.3885e-03 sec\n", + "--- Collate = 5.3749e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.008507e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.319518e-02 > 2.000000e-03 [41141]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41141/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.868] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000848112 [ 0.07 %]\n", + "Velocity : 0.00393882 [ 0.31 %]\n", + "Force : 0.495316 [ 39.44 %]\n", + "Coefs : 0.177886 [ 14.17 %]\n", + "Output : 0.00837626 [ 0.67 %]\n", + "Levels : 0.00038191 [ 0.03 %]\n", + "Report : 1.313e-06 [ 0.00 %]\n", + "Balance : 4.31e-07 [ 0.00 %]\n", + "Adjust : 0.568607 [ 45.28 %]\n", + "Total : 1.25577 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.5001e-03 sec\n", + "--- Collate = 6.5038e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.671452e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.318764e-02 > 2.000000e-03 [41120]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41120/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.87] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000829081 [ 0.07 %]\n", + "Velocity : 0.00385152 [ 0.31 %]\n", + "Force : 0.490969 [ 39.44 %]\n", + "Coefs : 0.175415 [ 14.09 %]\n", + "Output : 0.00825857 [ 0.66 %]\n", + "Levels : 0.000264036 [ 0.02 %]\n", + "Report : 1.158e-06 [ 0.00 %]\n", + "Balance : 6.29e-07 [ 0.00 %]\n", + "Adjust : 0.564815 [ 45.37 %]\n", + "Total : 1.24481 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.4853e-03 sec\n", + "--- Collate = 5.8543e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.566779e-06 < 7.812500e-06 [5]\n", + "--- Max DT=2.318820e-02 > 2.000000e-03 [41129]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 5/20000\n", + " Component | high: 41129/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.872] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000807574 [ 0.06 %]\n", + "Velocity : 0.00384224 [ 0.30 %]\n", + "Force : 0.495135 [ 39.17 %]\n", + "Coefs : 0.183493 [ 14.52 %]\n", + "Output : 0.00818639 [ 0.65 %]\n", + "Levels : 0.000313848 [ 0.02 %]\n", + "Report : 8.8e-07 [ 0.00 %]\n", + "Balance : 5.41e-07 [ 0.00 %]\n", + "Adjust : 0.571824 [ 45.24 %]\n", + "Total : 1.26401 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.8167e-03 sec\n", + "--- Collate = 6.2462e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.668619e-06 < 7.812500e-06 [5]\n", + "--- Max DT=2.318680e-02 > 2.000000e-03 [41132]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 5/20000\n", + " Component | high: 41132/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.874] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000776578 [ 0.06 %]\n", + "Velocity : 0.00370595 [ 0.29 %]\n", + "Force : 0.498406 [ 39.42 %]\n", + "Coefs : 0.179317 [ 14.18 %]\n", + "Output : 0.00829841 [ 0.66 %]\n", + "Levels : 0.000335123 [ 0.03 %]\n", + "Report : 1.12e-06 [ 0.00 %]\n", + "Balance : 5.06e-07 [ 0.00 %]\n", + "Adjust : 0.572963 [ 45.32 %]\n", + "Total : 1.2642 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.0%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 8.0022e-03 sec\n", + "--- Collate = 6.3821e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.778898e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.318058e-02 > 2.000000e-03 [41134]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41134/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.876] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000808974 [ 0.06 %]\n", + "Velocity : 0.00391602 [ 0.30 %]\n", + "Force : 0.515051 [ 40.08 %]\n", + "Coefs : 0.18151 [ 14.13 %]\n", + "Output : 0.00860102 [ 0.67 %]\n", + "Levels : 0.000305105 [ 0.02 %]\n", + "Report : 1.353e-06 [ 0.00 %]\n", + "Balance : 5.43e-07 [ 0.00 %]\n", + "Adjust : 0.574361 [ 44.70 %]\n", + "Total : 1.28499 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7827e-03 sec\n", + "--- Collate = 6.3267e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.317528e-02 > 2.000000e-03 [41103]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41103/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.878] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0010224 [ 0.08 %]\n", + "Velocity : 0.00395149 [ 0.31 %]\n", + "Force : 0.512051 [ 39.72 %]\n", + "Coefs : 0.182571 [ 14.16 %]\n", + "Output : 0.00964566 [ 0.75 %]\n", + "Levels : 0.000389967 [ 0.03 %]\n", + "Report : 1.061e-06 [ 0.00 %]\n", + "Balance : 5.27e-07 [ 0.00 %]\n", + "Adjust : 0.578985 [ 44.91 %]\n", + "Total : 1.28908 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.4619e-03 sec\n", + "--- Collate = 5.7524e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.489365e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.317373e-02 > 2.000000e-03 [41123]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41123/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.88] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000935644 [ 0.07 %]\n", + "Velocity : 0.00395606 [ 0.29 %]\n", + "Force : 0.519851 [ 37.80 %]\n", + "Coefs : 0.183273 [ 13.33 %]\n", + "Output : 0.0873391 [ 6.35 %]\n", + "Levels : 0.000338645 [ 0.02 %]\n", + "Report : 8.3e-07 [ 0.00 %]\n", + "Balance : 6.71e-07 [ 0.00 %]\n", + "Adjust : 0.579133 [ 42.11 %]\n", + "Total : 1.37527 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7139e-03 sec\n", + "--- Collate = 6.2239e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.400120e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.316979e-02 > 2.000000e-03 [41134]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41134/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.882] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000997501 [ 0.08 %]\n", + "Velocity : 0.0044397 [ 0.35 %]\n", + "Force : 0.503058 [ 39.58 %]\n", + "Coefs : 0.178771 [ 14.07 %]\n", + "Output : 0.00907633 [ 0.71 %]\n", + "Levels : 0.000368631 [ 0.03 %]\n", + "Report : 1.063e-06 [ 0.00 %]\n", + "Balance : 6.24e-07 [ 0.00 %]\n", + "Adjust : 0.57387 [ 45.15 %]\n", + "Total : 1.271 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6268e-03 sec\n", + "--- Collate = 5.9141e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.085233e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.316747e-02 > 2.000000e-03 [41116]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41116/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.884] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00085308 [ 0.07 %]\n", + "Velocity : 0.00399096 [ 0.32 %]\n", + "Force : 0.49216 [ 39.14 %]\n", + "Coefs : 0.178277 [ 14.18 %]\n", + "Output : 0.0159704 [ 1.27 %]\n", + "Levels : 0.000323359 [ 0.03 %]\n", + "Report : 9.98e-07 [ 0.00 %]\n", + "Balance : 3.73e-07 [ 0.00 %]\n", + "Adjust : 0.565445 [ 44.97 %]\n", + "Total : 1.25741 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.0%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.6194e-03 sec\n", + "--- Collate = 6.2946e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.567731e-07 < 7.812500e-06 [7]\n", + "--- Max DT=2.317036e-02 > 2.000000e-03 [41102]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 7/20000\n", + " Component | high: 41102/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.886] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000811903 [ 0.06 %]\n", + "Velocity : 0.00402869 [ 0.32 %]\n", + "Force : 0.502314 [ 39.60 %]\n", + "Coefs : 0.181408 [ 14.30 %]\n", + "Output : 0.00857413 [ 0.68 %]\n", + "Levels : 0.000353879 [ 0.03 %]\n", + "Report : 1.214e-06 [ 0.00 %]\n", + "Balance : 6.6e-07 [ 0.00 %]\n", + "Adjust : 0.570496 [ 44.98 %]\n", + "Total : 1.26838 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.9409e-03 sec\n", + "--- Collate = 5.9640e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.843594e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.317295e-02 > 2.000000e-03 [41116]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41116/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.888] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000797839 [ 0.06 %]\n", + "Velocity : 0.00381234 [ 0.30 %]\n", + "Force : 0.498855 [ 39.54 %]\n", + "Coefs : 0.179069 [ 14.19 %]\n", + "Output : 0.00890285 [ 0.71 %]\n", + "Levels : 0.000339779 [ 0.03 %]\n", + "Report : 1.144e-06 [ 0.00 %]\n", + "Balance : 3.15e-07 [ 0.00 %]\n", + "Adjust : 0.56956 [ 45.14 %]\n", + "Total : 1.26172 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.8312e-03 sec\n", + "--- Collate = 6.0390e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.388606e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.316952e-02 > 2.000000e-03 [41121]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41121/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.89] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000812604 [ 0.06 %]\n", + "Velocity : 0.00390917 [ 0.31 %]\n", + "Force : 0.505188 [ 39.69 %]\n", + "Coefs : 0.179092 [ 14.07 %]\n", + "Output : 0.00881829 [ 0.69 %]\n", + "Levels : 0.000405133 [ 0.03 %]\n", + "Report : 1.116e-06 [ 0.00 %]\n", + "Balance : 5.4e-07 [ 0.00 %]\n", + "Adjust : 0.574346 [ 45.12 %]\n", + "Total : 1.27295 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.5135e-03 sec\n", + "--- Collate = 5.8586e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.317408e-02 > 2.000000e-03 [41144]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41144/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.892] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000845567 [ 0.07 %]\n", + "Velocity : 0.00399636 [ 0.32 %]\n", + "Force : 0.490031 [ 39.15 %]\n", + "Coefs : 0.177609 [ 14.19 %]\n", + "Output : 0.00897432 [ 0.72 %]\n", + "Levels : 0.000281213 [ 0.02 %]\n", + "Report : 1.177e-06 [ 0.00 %]\n", + "Balance : 4.41e-07 [ 0.00 %]\n", + "Adjust : 0.569571 [ 45.50 %]\n", + "Total : 1.2517 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.0032e-03 sec\n", + "--- Collate = 9.8899e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.030307e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.317743e-02 > 2.000000e-03 [41142]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41142/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.894] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000894791 [ 0.07 %]\n", + "Velocity : 0.00414075 [ 0.32 %]\n", + "Force : 0.516359 [ 39.66 %]\n", + "Coefs : 0.185607 [ 14.25 %]\n", + "Output : 0.00914667 [ 0.70 %]\n", + "Levels : 0.000341629 [ 0.03 %]\n", + "Report : 1.262e-06 [ 0.00 %]\n", + "Balance : 4.7e-07 [ 0.00 %]\n", + "Adjust : 0.585215 [ 44.94 %]\n", + "Total : 1.30212 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.5953e-03 sec\n", + "--- Collate = 5.5249e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.080383e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.317898e-02 > 2.000000e-03 [41122]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41122/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.896] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000818579 [ 0.07 %]\n", + "Velocity : 0.00394307 [ 0.31 %]\n", + "Force : 0.495283 [ 39.45 %]\n", + "Coefs : 0.179733 [ 14.32 %]\n", + "Output : 0.00805424 [ 0.64 %]\n", + "Levels : 0.000317006 [ 0.03 %]\n", + "Report : 8.49e-07 [ 0.00 %]\n", + "Balance : 5.61e-07 [ 0.00 %]\n", + "Adjust : 0.566868 [ 45.15 %]\n", + "Total : 1.25538 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.9805e-03 sec\n", + "--- Collate = 7.7417e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.473522e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.318451e-02 > 2.000000e-03 [41113]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41113/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.898] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00083816 [ 0.06 %]\n", + "Velocity : 0.0043905 [ 0.34 %]\n", + "Force : 0.509301 [ 39.27 %]\n", + "Coefs : 0.185671 [ 14.31 %]\n", + "Output : 0.00953698 [ 0.74 %]\n", + "Levels : 0.000290921 [ 0.02 %]\n", + "Report : 9.77e-07 [ 0.00 %]\n", + "Balance : 7.61e-07 [ 0.00 %]\n", + "Adjust : 0.586609 [ 45.23 %]\n", + "Total : 1.29708 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.6495e-03 sec\n", + "--- Collate = 6.1271e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.410788e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.318292e-02 > 2.000000e-03 [41114]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41114/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.9] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000747624 [ 0.06 %]\n", + "Velocity : 0.00380495 [ 0.29 %]\n", + "Force : 0.491307 [ 37.22 %]\n", + "Coefs : 0.177141 [ 13.42 %]\n", + "Output : 0.0800714 [ 6.07 %]\n", + "Levels : 0.000293307 [ 0.02 %]\n", + "Report : 1.193e-06 [ 0.00 %]\n", + "Balance : 7.95e-07 [ 0.00 %]\n", + "Adjust : 0.566229 [ 42.90 %]\n", + "Total : 1.31998 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7458e-03 sec\n", + "--- Collate = 5.9637e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.012538e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.318446e-02 > 2.000000e-03 [41128]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41128/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.902] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00102217 [ 0.08 %]\n", + "Velocity : 0.00431654 [ 0.34 %]\n", + "Force : 0.492528 [ 39.33 %]\n", + "Coefs : 0.178554 [ 14.26 %]\n", + "Output : 0.00803346 [ 0.64 %]\n", + "Levels : 0.000482045 [ 0.04 %]\n", + "Report : 9.91e-07 [ 0.00 %]\n", + "Balance : 4.02e-07 [ 0.00 %]\n", + "Adjust : 0.566979 [ 45.28 %]\n", + "Total : 1.25229 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.5793e-03 sec\n", + "--- Collate = 5.7704e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.317699e-02 > 2.000000e-03 [41131]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41131/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.904] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000763488 [ 0.06 %]\n", + "Velocity : 0.00400046 [ 0.32 %]\n", + "Force : 0.494953 [ 39.45 %]\n", + "Coefs : 0.17889 [ 14.26 %]\n", + "Output : 0.00892701 [ 0.71 %]\n", + "Levels : 0.000296637 [ 0.02 %]\n", + "Report : 1.047e-06 [ 0.00 %]\n", + "Balance : 3.39e-07 [ 0.00 %]\n", + "Adjust : 0.566458 [ 45.15 %]\n", + "Total : 1.25468 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.0309e-03 sec\n", + "--- Collate = 6.2919e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.392793e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.317606e-02 > 2.000000e-03 [41132]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41132/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.906] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000806366 [ 0.06 %]\n", + "Velocity : 0.00407564 [ 0.32 %]\n", + "Force : 0.493269 [ 39.17 %]\n", + "Coefs : 0.178268 [ 14.16 %]\n", + "Output : 0.00955622 [ 0.76 %]\n", + "Levels : 0.000312822 [ 0.02 %]\n", + "Report : 1.175e-06 [ 0.00 %]\n", + "Balance : 5.21e-07 [ 0.00 %]\n", + "Adjust : 0.572533 [ 45.47 %]\n", + "Total : 1.25922 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.5451e-03 sec\n", + "--- Collate = 6.6877e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.828032e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.317340e-02 > 2.000000e-03 [41114]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41114/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.908] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000808058 [ 0.06 %]\n", + "Velocity : 0.00405159 [ 0.32 %]\n", + "Force : 0.498164 [ 39.42 %]\n", + "Coefs : 0.179236 [ 14.18 %]\n", + "Output : 0.00848535 [ 0.67 %]\n", + "Levels : 0.000414541 [ 0.03 %]\n", + "Report : 1.17e-06 [ 0.00 %]\n", + "Balance : 4.73e-07 [ 0.00 %]\n", + "Adjust : 0.572044 [ 45.27 %]\n", + "Total : 1.2636 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.6753e-03 sec\n", + "--- Collate = 5.6266e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.679081e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.317858e-02 > 2.000000e-03 [41113]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41113/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.91] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000758672 [ 0.06 %]\n", + "Velocity : 0.00387227 [ 0.31 %]\n", + "Force : 0.494357 [ 39.41 %]\n", + "Coefs : 0.178563 [ 14.23 %]\n", + "Output : 0.00838548 [ 0.67 %]\n", + "Levels : 0.00028888 [ 0.02 %]\n", + "Report : 1.081e-06 [ 0.00 %]\n", + "Balance : 4.21e-07 [ 0.00 %]\n", + "Adjust : 0.567887 [ 45.27 %]\n", + "Total : 1.25449 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6878e-03 sec\n", + "--- Collate = 6.8669e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.881954e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.318646e-02 > 2.000000e-03 [41112]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41112/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.912] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000797264 [ 0.06 %]\n", + "Velocity : 0.0040144 [ 0.32 %]\n", + "Force : 0.497437 [ 39.37 %]\n", + "Coefs : 0.180149 [ 14.26 %]\n", + "Output : 0.00840998 [ 0.67 %]\n", + "Levels : 0.000305683 [ 0.02 %]\n", + "Report : 1.061e-06 [ 0.00 %]\n", + "Balance : 3.85e-07 [ 0.00 %]\n", + "Adjust : 0.571966 [ 45.27 %]\n", + "Total : 1.26346 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.5522e-03 sec\n", + "--- Collate = 6.0626e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.522015e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.319040e-02 > 2.000000e-03 [41124]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41124/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.914] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000757189 [ 0.06 %]\n", + "Velocity : 0.00374844 [ 0.30 %]\n", + "Force : 0.494294 [ 39.40 %]\n", + "Coefs : 0.178432 [ 14.22 %]\n", + "Output : 0.00803714 [ 0.64 %]\n", + "Levels : 0.000308652 [ 0.02 %]\n", + "Report : 9.67e-07 [ 0.00 %]\n", + "Balance : 4.04e-07 [ 0.00 %]\n", + "Adjust : 0.568522 [ 45.32 %]\n", + "Total : 1.25447 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6182e-03 sec\n", + "--- Collate = 5.3433e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.141759e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.315514e-02 > 2.000000e-03 [41109]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41109/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.916] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000745624 [ 0.06 %]\n", + "Velocity : 0.00368798 [ 0.29 %]\n", + "Force : 0.493703 [ 39.34 %]\n", + "Coefs : 0.177197 [ 14.12 %]\n", + "Output : 0.00773716 [ 0.62 %]\n", + "Levels : 0.000258652 [ 0.02 %]\n", + "Report : 8.37e-07 [ 0.00 %]\n", + "Balance : 4.39e-07 [ 0.00 %]\n", + "Adjust : 0.571297 [ 45.52 %]\n", + "Total : 1.255 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.4%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.8705e-03 sec\n", + "--- Collate = 5.9544e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.964613e-06 < 7.812500e-06 [5]\n", + "--- Max DT=2.315071e-02 > 2.000000e-03 [41084]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 5/20000\n", + " Component | high: 41084/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.918] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000722438 [ 0.06 %]\n", + "Velocity : 0.00357453 [ 0.29 %]\n", + "Force : 0.495773 [ 39.56 %]\n", + "Coefs : 0.178833 [ 14.27 %]\n", + "Output : 0.00794232 [ 0.63 %]\n", + "Levels : 0.00032295 [ 0.03 %]\n", + "Report : 1.65e-06 [ 0.00 %]\n", + "Balance : 3.66e-07 [ 0.00 %]\n", + "Adjust : 0.565843 [ 45.15 %]\n", + "Total : 1.25338 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.6%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.5377e-03 sec\n", + "--- Collate = 5.7417e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.006141e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.315447e-02 > 2.000000e-03 [41079]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41079/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.92] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000768407 [ 0.06 %]\n", + "Velocity : 0.00380754 [ 0.29 %]\n", + "Force : 0.48713 [ 36.97 %]\n", + "Coefs : 0.178909 [ 13.58 %]\n", + "Output : 0.079205 [ 6.01 %]\n", + "Levels : 0.000312191 [ 0.02 %]\n", + "Report : 8.99e-07 [ 0.00 %]\n", + "Balance : 4.18e-07 [ 0.00 %]\n", + "Adjust : 0.566979 [ 43.04 %]\n", + "Total : 1.31748 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.9411e-03 sec\n", + "--- Collate = 7.9726e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.292033e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.315451e-02 > 2.000000e-03 [41072]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41072/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.922] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000884552 [ 0.07 %]\n", + "Velocity : 0.00420609 [ 0.33 %]\n", + "Force : 0.494452 [ 39.31 %]\n", + "Coefs : 0.179794 [ 14.30 %]\n", + "Output : 0.00874402 [ 0.70 %]\n", + "Levels : 0.000280359 [ 0.02 %]\n", + "Report : 1.13e-06 [ 0.00 %]\n", + "Balance : 4.89e-07 [ 0.00 %]\n", + "Adjust : 0.568923 [ 45.24 %]\n", + "Total : 1.25768 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.5152e-03 sec\n", + "--- Collate = 5.5213e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.315081e-02 > 2.000000e-03 [41060]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41060/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.924] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00079492 [ 0.06 %]\n", + "Velocity : 0.00399125 [ 0.32 %]\n", + "Force : 0.494569 [ 39.35 %]\n", + "Coefs : 0.178185 [ 14.18 %]\n", + "Output : 0.0090783 [ 0.72 %]\n", + "Levels : 0.000385835 [ 0.03 %]\n", + "Report : 1.17e-06 [ 0.00 %]\n", + "Balance : 5.14e-07 [ 0.00 %]\n", + "Adjust : 0.569379 [ 45.30 %]\n", + "Total : 1.25677 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.7%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.8925e-03 sec\n", + "--- Collate = 6.1524e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.315043e-02 > 2.000000e-03 [41038]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41038/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.926] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000761853 [ 0.06 %]\n", + "Velocity : 0.00379651 [ 0.30 %]\n", + "Force : 0.496069 [ 39.24 %]\n", + "Coefs : 0.180695 [ 14.29 %]\n", + "Output : 0.008351 [ 0.66 %]\n", + "Levels : 0.000341119 [ 0.03 %]\n", + "Report : 1.007e-06 [ 0.00 %]\n", + "Balance : 5.54e-07 [ 0.00 %]\n", + "Adjust : 0.57393 [ 45.39 %]\n", + "Total : 1.26433 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.7594e-03 sec\n", + "--- Collate = 7.8736e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.925888e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.315168e-02 > 2.000000e-03 [41020]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41019/60000\n", + " Component | high: 1/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.928] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000780555 [ 0.06 %]\n", + "Velocity : 0.00382225 [ 0.30 %]\n", + "Force : 0.507753 [ 39.81 %]\n", + "Coefs : 0.178957 [ 14.03 %]\n", + "Output : 0.00873 [ 0.68 %]\n", + "Levels : 0.000301598 [ 0.02 %]\n", + "Report : 1.187e-06 [ 0.00 %]\n", + "Balance : 5.98e-07 [ 0.00 %]\n", + "Adjust : 0.57466 [ 45.06 %]\n", + "Total : 1.27539 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.7446e-03 sec\n", + "--- Collate = 6.4400e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.666934e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.315663e-02 > 2.000000e-03 [41015]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41015/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.93] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000787849 [ 0.06 %]\n", + "Velocity : 0.0039883 [ 0.31 %]\n", + "Force : 0.508155 [ 39.73 %]\n", + "Coefs : 0.179365 [ 14.02 %]\n", + "Output : 0.00867258 [ 0.68 %]\n", + "Levels : 0.000371625 [ 0.03 %]\n", + "Report : 1.218e-06 [ 0.00 %]\n", + "Balance : 4.13e-07 [ 0.00 %]\n", + "Adjust : 0.577183 [ 45.13 %]\n", + "Total : 1.2789 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7206e-03 sec\n", + "--- Collate = 6.9571e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.238826e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.315745e-02 > 2.000000e-03 [40998]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 40998/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.932] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0008274 [ 0.06 %]\n", + "Velocity : 0.00440596 [ 0.35 %]\n", + "Force : 0.499717 [ 39.21 %]\n", + "Coefs : 0.180305 [ 14.15 %]\n", + "Output : 0.00978497 [ 0.77 %]\n", + "Levels : 0.000407158 [ 0.03 %]\n", + "Report : 1.168e-06 [ 0.00 %]\n", + "Balance : 5.19e-07 [ 0.00 %]\n", + "Adjust : 0.578583 [ 45.40 %]\n", + "Total : 1.27445 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info in comp, mlevel=6--------------------------------------\n", + "----------------------------------------------------------------------\n", + " COM: 2.569702e-03\n", + " Position: 6.846687e+00\n", + " --------------------------------------------------\n", + " *** fix pos : 6.673009e+00 \n", + " --------------------------------------------------\n", + " Ang mom: 5.361286e+00\n", + " Zero: 7.178477e-01\n", + " Accel: 5.025066e+01\n", + " Interaction: 1.233511e+01\n", + " --------------------------------------------------\n", + " *** dark halo <=> star disk : 7.267222e+00\n", + " *** star disk <=> dark halo : 5.019226e+00\n", + " --------------------------------------------------\n", + " External: 1.814257e-02\n", + " Expand: 4.157810e+01\n", + " Force: 5.118070e+01\n", + " Elapsed: 3.000026e+02\n", + "----------------------------------------------------------------------\n", + "\n", + "mstep/Mstep=36/256\n", + "0 |240 1 |240 2 |479 3 |960 4 |1918 \n", + "5 |3837 6 |7675 7 |15349 8 |30698 \n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.8549e-03 sec\n", + "--- Collate = 6.0948e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.818106e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.315762e-02 > 2.000000e-03 [40995]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 40995/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.934] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00106936 [ 0.08 %]\n", + "Velocity : 0.00498204 [ 0.38 %]\n", + "Force : 0.52418 [ 39.50 %]\n", + "Coefs : 0.185563 [ 13.98 %]\n", + "Output : 0.0106331 [ 0.80 %]\n", + "Levels : 0.000307411 [ 0.02 %]\n", + "Report : 8.43e-07 [ 0.00 %]\n", + "Balance : 5.15e-07 [ 0.00 %]\n", + "Adjust : 0.599715 [ 45.20 %]\n", + "Total : 1.3269 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.7078e-03 sec\n", + "--- Collate = 6.1752e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.705859e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.315485e-02 > 2.000000e-03 [40996]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 40996/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.936] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000844009 [ 0.06 %]\n", + "Velocity : 0.00432785 [ 0.32 %]\n", + "Force : 0.531832 [ 39.25 %]\n", + "Coefs : 0.192063 [ 14.17 %]\n", + "Output : 0.0098634 [ 0.73 %]\n", + "Levels : 0.000307722 [ 0.02 %]\n", + "Report : 9.88e-07 [ 0.00 %]\n", + "Balance : 3.56e-07 [ 0.00 %]\n", + "Adjust : 0.615298 [ 45.41 %]\n", + "Total : 1.35497 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.4066e-03 sec\n", + "--- Collate = 6.2591e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.841383e-06 < 7.812500e-06 [4]\n", + "--- Max DT=2.315573e-02 > 2.000000e-03 [40987]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 4/20000\n", + " Component | high: 40987/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.938] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000851297 [ 0.07 %]\n", + "Velocity : 0.00434156 [ 0.34 %]\n", + "Force : 0.503994 [ 39.01 %]\n", + "Coefs : 0.185731 [ 14.38 %]\n", + "Output : 0.00941287 [ 0.73 %]\n", + "Levels : 0.000313852 [ 0.02 %]\n", + "Report : 9.32e-07 [ 0.00 %]\n", + "Balance : 4.2e-07 [ 0.00 %]\n", + "Adjust : 0.586746 [ 45.42 %]\n", + "Total : 1.2918 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.5647e-03 sec\n", + "--- Collate = 5.9434e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.302800e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.315706e-02 > 2.000000e-03 [40965]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 40965/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.94] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00080669 [ 0.06 %]\n", + "Velocity : 0.00393699 [ 0.29 %]\n", + "Force : 0.508937 [ 37.22 %]\n", + "Coefs : 0.18271 [ 13.36 %]\n", + "Output : 0.0916426 [ 6.70 %]\n", + "Levels : 0.00032591 [ 0.02 %]\n", + "Report : 1.068e-06 [ 0.00 %]\n", + "Balance : 3.81e-07 [ 0.00 %]\n", + "Adjust : 0.57859 [ 42.31 %]\n", + "Total : 1.36735 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 8.0218e-03 sec\n", + "--- Collate = 6.0486e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.092444e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.315661e-02 > 2.000000e-03 [40983]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 40983/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.942] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000798868 [ 0.06 %]\n", + "Velocity : 0.00386349 [ 0.30 %]\n", + "Force : 0.502826 [ 39.58 %]\n", + "Coefs : 0.181903 [ 14.32 %]\n", + "Output : 0.00825705 [ 0.65 %]\n", + "Levels : 0.000326874 [ 0.03 %]\n", + "Report : 1.225e-06 [ 0.00 %]\n", + "Balance : 4.24e-07 [ 0.00 %]\n", + "Adjust : 0.571983 [ 45.03 %]\n", + "Total : 1.27034 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.8265e-03 sec\n", + "--- Collate = 6.3450e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.089756e-06 < 7.812500e-06 [5]\n", + "--- Max DT=2.315617e-02 > 2.000000e-03 [40990]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 5/20000\n", + " Component | high: 40990/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.944] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000789186 [ 0.06 %]\n", + "Velocity : 0.00433367 [ 0.34 %]\n", + "Force : 0.503474 [ 39.49 %]\n", + "Coefs : 0.181604 [ 14.24 %]\n", + "Output : 0.008679 [ 0.68 %]\n", + "Levels : 0.000267394 [ 0.02 %]\n", + "Report : 1.132e-06 [ 0.00 %]\n", + "Balance : 6.19e-07 [ 0.00 %]\n", + "Adjust : 0.575471 [ 45.13 %]\n", + "Total : 1.27503 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.0%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 8.0484e-03 sec\n", + "--- Collate = 5.8835e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.884517e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.315657e-02 > 2.000000e-03 [40997]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 40997/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.946] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000812327 [ 0.06 %]\n", + "Velocity : 0.00405027 [ 0.32 %]\n", + "Force : 0.497395 [ 39.43 %]\n", + "Coefs : 0.178532 [ 14.15 %]\n", + "Output : 0.00891695 [ 0.71 %]\n", + "Levels : 0.000282128 [ 0.02 %]\n", + "Report : 8.56e-07 [ 0.00 %]\n", + "Balance : 4.87e-07 [ 0.00 %]\n", + "Adjust : 0.571167 [ 45.27 %]\n", + "Total : 1.26157 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.9565e-03 sec\n", + "--- Collate = 5.6484e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.315466e-02 > 2.000000e-03 [41009]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41009/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.948] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000767436 [ 0.06 %]\n", + "Velocity : 0.00413268 [ 0.33 %]\n", + "Force : 0.495721 [ 39.27 %]\n", + "Coefs : 0.179269 [ 14.20 %]\n", + "Output : 0.00868249 [ 0.69 %]\n", + "Levels : 0.000294063 [ 0.02 %]\n", + "Report : 9.55e-07 [ 0.00 %]\n", + "Balance : 3.39e-07 [ 0.00 %]\n", + "Adjust : 0.572929 [ 45.39 %]\n", + "Total : 1.26221 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.0989e-03 sec\n", + "--- Collate = 6.0687e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.405573e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.315610e-02 > 2.000000e-03 [41019]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41019/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.95] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000792014 [ 0.06 %]\n", + "Velocity : 0.00378831 [ 0.30 %]\n", + "Force : 0.490766 [ 39.29 %]\n", + "Coefs : 0.176332 [ 14.12 %]\n", + "Output : 0.00827451 [ 0.66 %]\n", + "Levels : 0.000338644 [ 0.03 %]\n", + "Report : 8.82e-07 [ 0.00 %]\n", + "Balance : 3.75e-07 [ 0.00 %]\n", + "Adjust : 0.568464 [ 45.51 %]\n", + "Total : 1.24914 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 8.0314e-03 sec\n", + "--- Collate = 7.9684e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.315793e-02 > 2.000000e-03 [41030]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41030/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.952] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000781628 [ 0.06 %]\n", + "Velocity : 0.00391147 [ 0.31 %]\n", + "Force : 0.49498 [ 39.45 %]\n", + "Coefs : 0.177059 [ 14.11 %]\n", + "Output : 0.00873349 [ 0.70 %]\n", + "Levels : 0.000537172 [ 0.04 %]\n", + "Report : 9.28e-07 [ 0.00 %]\n", + "Balance : 3.89e-07 [ 0.00 %]\n", + "Adjust : 0.568218 [ 45.29 %]\n", + "Total : 1.25463 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.7989e-03 sec\n", + "--- Collate = 5.3265e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.874274e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.315943e-02 > 2.000000e-03 [41035]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41035/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.954] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000795785 [ 0.06 %]\n", + "Velocity : 0.00402768 [ 0.32 %]\n", + "Force : 0.498891 [ 39.57 %]\n", + "Coefs : 0.17879 [ 14.18 %]\n", + "Output : 0.0088538 [ 0.70 %]\n", + "Levels : 0.000274894 [ 0.02 %]\n", + "Report : 9.49e-07 [ 0.00 %]\n", + "Balance : 3.36e-07 [ 0.00 %]\n", + "Adjust : 0.568719 [ 45.11 %]\n", + "Total : 1.26076 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7042e-03 sec\n", + "--- Collate = 6.0131e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.318281e-06 < 7.812500e-06 [4]\n", + "--- Max DT=2.316277e-02 > 2.000000e-03 [41041]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 4/20000\n", + " Component | high: 41041/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.956] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000777686 [ 0.06 %]\n", + "Velocity : 0.00382262 [ 0.31 %]\n", + "Force : 0.489565 [ 39.14 %]\n", + "Coefs : 0.178386 [ 14.26 %]\n", + "Output : 0.00896761 [ 0.72 %]\n", + "Levels : 0.000338508 [ 0.03 %]\n", + "Report : 9.73e-07 [ 0.00 %]\n", + "Balance : 5.04e-07 [ 0.00 %]\n", + "Adjust : 0.568606 [ 45.46 %]\n", + "Total : 1.25086 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6680e-03 sec\n", + "--- Collate = 5.8840e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.912632e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.316318e-02 > 2.000000e-03 [41042]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41042/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.958] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000757489 [ 0.06 %]\n", + "Velocity : 0.00394388 [ 0.32 %]\n", + "Force : 0.487182 [ 39.10 %]\n", + "Coefs : 0.176665 [ 14.18 %]\n", + "Output : 0.00833493 [ 0.67 %]\n", + "Levels : 0.000312176 [ 0.03 %]\n", + "Report : 8.57e-07 [ 0.00 %]\n", + "Balance : 5.06e-07 [ 0.00 %]\n", + "Adjust : 0.568337 [ 45.62 %]\n", + "Total : 1.24592 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.5310e-03 sec\n", + "--- Collate = 5.7630e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.073364e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.316351e-02 > 2.000000e-03 [41043]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41043/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.96] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000717005 [ 0.05 %]\n", + "Velocity : 0.00371676 [ 0.28 %]\n", + "Force : 0.485509 [ 36.88 %]\n", + "Coefs : 0.177478 [ 13.48 %]\n", + "Output : 0.0841352 [ 6.39 %]\n", + "Levels : 0.000295814 [ 0.02 %]\n", + "Report : 1.168e-06 [ 0.00 %]\n", + "Balance : 6.41e-07 [ 0.00 %]\n", + "Adjust : 0.56411 [ 42.85 %]\n", + "Total : 1.31633 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.6626e-03 sec\n", + "--- Collate = 8.9960e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.320085e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.316296e-02 > 2.000000e-03 [41034]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41034/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.962] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000829189 [ 0.07 %]\n", + "Velocity : 0.00434917 [ 0.35 %]\n", + "Force : 0.494083 [ 39.28 %]\n", + "Coefs : 0.17931 [ 14.26 %]\n", + "Output : 0.0083177 [ 0.66 %]\n", + "Levels : 0.000329179 [ 0.03 %]\n", + "Report : 1.202e-06 [ 0.00 %]\n", + "Balance : 5.72e-07 [ 0.00 %]\n", + "Adjust : 0.570152 [ 45.33 %]\n", + "Total : 1.25776 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.5539e-03 sec\n", + "--- Collate = 6.3236e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.560126e-06 < 7.812500e-06 [5]\n", + "--- Max DT=2.315341e-02 > 2.000000e-03 [41034]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 5/20000\n", + " Component | high: 41034/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.964] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000767568 [ 0.06 %]\n", + "Velocity : 0.0040221 [ 0.32 %]\n", + "Force : 0.496578 [ 39.48 %]\n", + "Coefs : 0.180102 [ 14.32 %]\n", + "Output : 0.00781726 [ 0.62 %]\n", + "Levels : 0.000309405 [ 0.02 %]\n", + "Report : 9.86e-07 [ 0.00 %]\n", + "Balance : 4.46e-07 [ 0.00 %]\n", + "Adjust : 0.567725 [ 45.14 %]\n", + "Total : 1.25769 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.3%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.4341e-03 sec\n", + "--- Collate = 5.8362e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Max DT=2.314961e-02 > 2.000000e-03 [41042]\n", + "----------------------------------------------------------------------\n", + " Component | high: 41042/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.966] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00080664 [ 0.06 %]\n", + "Velocity : 0.0039698 [ 0.32 %]\n", + "Force : 0.49386 [ 39.34 %]\n", + "Coefs : 0.180087 [ 14.35 %]\n", + "Output : 0.00771965 [ 0.61 %]\n", + "Levels : 0.000267975 [ 0.02 %]\n", + "Report : 8.16e-07 [ 0.00 %]\n", + "Balance : 3.28e-07 [ 0.00 %]\n", + "Adjust : 0.568151 [ 45.26 %]\n", + "Total : 1.25524 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.7737e-03 sec\n", + "--- Collate = 5.5328e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.501376e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.315198e-02 > 2.000000e-03 [41032]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41032/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.968] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000759554 [ 0.06 %]\n", + "Velocity : 0.00398473 [ 0.32 %]\n", + "Force : 0.490619 [ 39.48 %]\n", + "Coefs : 0.176714 [ 14.22 %]\n", + "Output : 0.0076587 [ 0.62 %]\n", + "Levels : 0.000318213 [ 0.03 %]\n", + "Report : 1.266e-06 [ 0.00 %]\n", + "Balance : 5.58e-07 [ 0.00 %]\n", + "Adjust : 0.562397 [ 45.25 %]\n", + "Total : 1.24282 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.0%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.5909e-03 sec\n", + "--- Collate = 5.1220e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.936996e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.315271e-02 > 2.000000e-03 [41031]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41031/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.97] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000769075 [ 0.06 %]\n", + "Velocity : 0.00402413 [ 0.32 %]\n", + "Force : 0.496992 [ 39.48 %]\n", + "Coefs : 0.179191 [ 14.23 %]\n", + "Output : 0.00806543 [ 0.64 %]\n", + "Levels : 0.000316752 [ 0.03 %]\n", + "Report : 1.34e-06 [ 0.00 %]\n", + "Balance : 4.52e-07 [ 0.00 %]\n", + "Adjust : 0.569221 [ 45.21 %]\n", + "Total : 1.25896 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.9601e-03 sec\n", + "--- Collate = 6.1852e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.583203e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.315198e-02 > 2.000000e-03 [41033]\n", + "----------------------------------------------------------------------\n", + " Component | low: 0/60000\n", + " Component | low: 1/20000\n", + " Component | high: 41033/60000\n", + " Component | high: 0/20000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.972] ---------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000747529 [ 0.06 %]\n", + "Velocity : 0.00382072 [ 0.30 %]\n", + "Force : 0.496319 [ 39.43 %]\n", + "Coefs : 0.177842 [ 14.13 %]\n", + "Output : 0.00811587 [ 0.64 %]\n", + "Levels : 0.000322681 [ 0.03 %]\n", + "Report : 1.011e-06 [ 0.00 %]\n", + "Balance : 5.75e-07 [ 0.00 %]\n", + "Adjust : 0.571157 [ 45.38 %]\n", + "Total : 1.25873 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.2%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 1.0412e-02 sec\n", - "--- Collate = 1.4131e-04 sec\n", + "--- Update = 7.7419e-03 sec\n", + "--- Collate = 5.8404e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.374548e-02 > 2.000000e-03 [41718]\n", + "--- Min DT=3.484721e-06 < 7.812500e-06 [3]\n", + "--- Max DT=2.315202e-02 > 2.000000e-03 [41038]\n", "----------------------------------------------------------------------\n", - " Component | high: 41718/60000\n", + " Component | low: 0/60000\n", + " Component | low: 3/20000\n", + " Component | high: 41038/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", - "--- Timer info [T=0.974] ---------------------------------------------\n", + "--- Timer info [T=1.974] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00155619 [ 0.09 %]\n", - "Velocity : 0.0073654 [ 0.41 %]\n", - "Force : 0.64559 [ 36.27 %]\n", - "Coefs : 0.24595 [ 13.82 %]\n", - "Output : 0.0212768 [ 1.20 %]\n", - "Levels : 0.000551815 [ 0.03 %]\n", - "Report : 1.21e-06 [ 0.00 %]\n", - "Balance : 8.37e-07 [ 0.00 %]\n", - "Adjust : 0.856806 [ 48.14 %]\n", - "Total : 1.77987 [100.00 %]\n", + "Drift : 0.000774494 [ 0.06 %]\n", + "Velocity : 0.00390431 [ 0.31 %]\n", + "Force : 0.490591 [ 39.24 %]\n", + "Coefs : 0.177546 [ 14.20 %]\n", + "Output : 0.00790497 [ 0.63 %]\n", + "Levels : 0.000310561 [ 0.02 %]\n", + "Report : 9.44e-07 [ 0.00 %]\n", + "Balance : 4.83e-07 [ 0.00 %]\n", + "Adjust : 0.568684 [ 45.49 %]\n", + "Total : 1.2501 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.3%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.5509e-02 sec\n", - "--- Collate = 1.1137e-04 sec\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.5966e-03 sec\n", + "--- Collate = 5.8709e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.481760e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.374206e-02 > 2.000000e-03 [41705]\n", + "--- Max DT=2.315090e-02 > 2.000000e-03 [41037]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41705/60000\n", + " Component | high: 41037/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", - "--- Timer info [T=0.976] ---------------------------------------------\n", + "--- Timer info [T=1.976] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00217983 [ 0.11 %]\n", - "Velocity : 0.0094794 [ 0.50 %]\n", - "Force : 0.66861 [ 35.00 %]\n", - "Coefs : 0.270655 [ 14.17 %]\n", - "Output : 0.0183746 [ 0.96 %]\n", - "Levels : 0.000374708 [ 0.02 %]\n", - "Report : 1.54e-06 [ 0.00 %]\n", - "Balance : 7.59e-07 [ 0.00 %]\n", - "Adjust : 0.93979 [ 49.20 %]\n", - "Total : 1.91028 [100.00 %]\n", + "Drift : 0.00076765 [ 0.06 %]\n", + "Velocity : 0.00387471 [ 0.31 %]\n", + "Force : 0.495113 [ 39.37 %]\n", + "Coefs : 0.177541 [ 14.12 %]\n", + "Output : 0.00853973 [ 0.68 %]\n", + "Levels : 0.000337419 [ 0.03 %]\n", + "Report : 1.108e-06 [ 0.00 %]\n", + "Balance : 5.79e-07 [ 0.00 %]\n", + "Adjust : 0.570983 [ 45.40 %]\n", + "Total : 1.25754 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.4%\n", + "--- Coef/DT = 5.0%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 1.1174e-02 sec\n", - "--- Collate = 7.8994e-05 sec\n", + "--- Update = 7.8675e-03 sec\n", + "--- Collate = 8.7385e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.373815e-02 > 2.000000e-03 [41691]\n", + "--- Min DT=2.383276e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.314841e-02 > 2.000000e-03 [41028]\n", "----------------------------------------------------------------------\n", - " Component | high: 41691/60000\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 41028/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", - "--- Timer info [T=0.978] ---------------------------------------------\n", + "--- Timer info [T=1.978] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00145637 [ 0.07 %]\n", - "Velocity : 0.00667749 [ 0.34 %]\n", - "Force : 0.712233 [ 36.28 %]\n", - "Coefs : 0.292798 [ 14.92 %]\n", - "Output : 0.0207456 [ 1.06 %]\n", - "Levels : 0.000584613 [ 0.03 %]\n", - "Report : 1.24e-06 [ 0.00 %]\n", - "Balance : 4.69e-07 [ 0.00 %]\n", - "Adjust : 0.927705 [ 47.26 %]\n", - "Total : 1.96298 [100.00 %]\n", + "Drift : 0.000876397 [ 0.07 %]\n", + "Velocity : 0.00392946 [ 0.31 %]\n", + "Force : 0.495676 [ 39.37 %]\n", + "Coefs : 0.178566 [ 14.18 %]\n", + "Output : 0.00797117 [ 0.63 %]\n", + "Levels : 0.00026597 [ 0.02 %]\n", + "Report : 7.54e-07 [ 0.00 %]\n", + "Balance : 5.98e-07 [ 0.00 %]\n", + "Adjust : 0.571483 [ 45.39 %]\n", + "Total : 1.25915 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.4%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.9222e-02 sec\n", - "--- Collate = 7.5664e-05 sec\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6965e-03 sec\n", + "--- Collate = 5.8712e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.374191e-02 > 2.000000e-03 [41697]\n", + "--- Min DT=2.088186e-06 < 7.812500e-06 [4]\n", + "--- Max DT=2.314398e-02 > 2.000000e-03 [41017]\n", "----------------------------------------------------------------------\n", - " Component | high: 41697/60000\n", + " Component | low: 0/60000\n", + " Component | low: 4/20000\n", + " Component | high: 41017/60000\n", " Component | high: 0/20000\n", - "----------------------------------------------------------------------\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", - "--- Timer info [T=0.98] ----------------------------------------------\n", + "--- Timer info [T=1.98] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00168501 [ 0.07 %]\n", - "Velocity : 0.00922477 [ 0.36 %]\n", - "Force : 0.796152 [ 31.00 %]\n", - "Coefs : 0.363739 [ 14.16 %]\n", - "Output : 0.179585 [ 6.99 %]\n", - "Levels : 0.00151491 [ 0.06 %]\n", - "Report : 1.507e-06 [ 0.00 %]\n", - "Balance : 6.95e-07 [ 0.00 %]\n", - "Adjust : 1.21555 [ 47.33 %]\n", - "Total : 2.56837 [100.00 %]\n", + "Drift : 0.000799503 [ 0.06 %]\n", + "Velocity : 0.00428042 [ 0.32 %]\n", + "Force : 0.492272 [ 37.03 %]\n", + "Coefs : 0.179158 [ 13.48 %]\n", + "Output : 0.0834775 [ 6.28 %]\n", + "Levels : 0.000334519 [ 0.03 %]\n", + "Report : 1.005e-06 [ 0.00 %]\n", + "Balance : 5.07e-07 [ 0.00 %]\n", + "Adjust : 0.568724 [ 42.78 %]\n", + "Total : 1.32945 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.6%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 9.6096e-03 sec\n", - "--- Collate = 8.6983e-05 sec\n", + "--- Coef/DT = 5.7%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.4857e-03 sec\n", + "--- Collate = 7.2264e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.961955e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.374570e-02 > 2.000000e-03 [41675]\n", + "--- Min DT=3.736198e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.314883e-02 > 2.000000e-03 [41004]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 1/20000\n", - " Component | high: 41675/60000\n", + " Component | high: 41004/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", - "--- Timer info [T=0.982] ---------------------------------------------\n", + "--- Timer info [T=1.982] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00214319 [ 0.10 %]\n", - "Velocity : 0.00963869 [ 0.47 %]\n", - "Force : 0.693652 [ 33.72 %]\n", - "Coefs : 0.317901 [ 15.46 %]\n", - "Output : 0.0182874 [ 0.89 %]\n", - "Levels : 0.000541052 [ 0.03 %]\n", - "Report : 1.605e-06 [ 0.00 %]\n", - "Balance : 6.89e-07 [ 0.00 %]\n", - "Adjust : 1.01398 [ 49.30 %]\n", - "Total : 2.05694 [100.00 %]\n", + "Drift : 0.00082958 [ 0.07 %]\n", + "Velocity : 0.00391093 [ 0.31 %]\n", + "Force : 0.490798 [ 39.02 %]\n", + "Coefs : 0.177541 [ 14.12 %]\n", + "Output : 0.00862547 [ 0.69 %]\n", + "Levels : 0.00879243 [ 0.70 %]\n", + "Report : 9.78e-07 [ 0.00 %]\n", + "Balance : 4.46e-07 [ 0.00 %]\n", + "Adjust : 0.566837 [ 45.07 %]\n", + "Total : 1.25771 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.6%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.0067e-02 sec\n", - "--- Collate = 8.0780e-05 sec\n", + "--- Coef/DT = 5.1%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.5691e-03 sec\n", + "--- Collate = 5.7464e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.374770e-02 > 2.000000e-03 [41665]\n", + "--- Min DT=3.173614e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.315557e-02 > 2.000000e-03 [40999]\n", "----------------------------------------------------------------------\n", - " Component | high: 41665/60000\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 40999/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", - "--- Timer info [T=0.984] ---------------------------------------------\n", + "--- Timer info [T=1.984] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00174925 [ 0.09 %]\n", - "Velocity : 0.00894228 [ 0.44 %]\n", - "Force : 0.726905 [ 35.99 %]\n", - "Coefs : 0.272027 [ 13.47 %]\n", - "Output : 0.0239065 [ 1.18 %]\n", - "Levels : 0.000630196 [ 0.03 %]\n", - "Report : 1.097e-06 [ 0.00 %]\n", - "Balance : 5.58e-07 [ 0.00 %]\n", - "Adjust : 0.984743 [ 48.76 %]\n", - "Total : 2.0197 [100.00 %]\n", + "Drift : 0.000960464 [ 0.08 %]\n", + "Velocity : 0.00433653 [ 0.34 %]\n", + "Force : 0.494224 [ 39.20 %]\n", + "Coefs : 0.179238 [ 14.22 %]\n", + "Output : 0.00824119 [ 0.65 %]\n", + "Levels : 0.0003048 [ 0.02 %]\n", + "Report : 1.327e-06 [ 0.00 %]\n", + "Balance : 4.88e-07 [ 0.00 %]\n", + "Adjust : 0.573148 [ 45.46 %]\n", + "Total : 1.26085 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.4%\n", + "--- Coef/DT = 5.2%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 9.9860e-03 sec\n", - "--- Collate = 8.6019e-05 sec\n", + "--- Update = 7.4366e-03 sec\n", + "--- Collate = 5.9218e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.388857e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.374432e-02 > 2.000000e-03 [41664]\n", + "--- Min DT=1.025970e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.315463e-02 > 2.000000e-03 [40980]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41664/60000\n", + " Component | low: 2/20000\n", + " Component | high: 40980/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", - "--- Timer info [T=0.986] ---------------------------------------------\n", + "--- Timer info [T=1.986] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00178248 [ 0.10 %]\n", - "Velocity : 0.00794715 [ 0.43 %]\n", - "Force : 0.685618 [ 37.09 %]\n", - "Coefs : 0.259664 [ 14.05 %]\n", - "Output : 0.0237438 [ 1.28 %]\n", - "Levels : 0.000573842 [ 0.03 %]\n", - "Report : 1.309e-06 [ 0.00 %]\n", - "Balance : 8.76e-07 [ 0.00 %]\n", - "Adjust : 0.868574 [ 46.98 %]\n", - "Total : 1.84863 [100.00 %]\n", + "Drift : 0.000781335 [ 0.06 %]\n", + "Velocity : 0.00381378 [ 0.30 %]\n", + "Force : 0.496053 [ 39.49 %]\n", + "Coefs : 0.179301 [ 14.27 %]\n", + "Output : 0.008198 [ 0.65 %]\n", + "Levels : 0.00033291 [ 0.03 %]\n", + "Report : 9.42e-07 [ 0.00 %]\n", + "Balance : 3.31e-07 [ 0.00 %]\n", + "Adjust : 0.567224 [ 45.16 %]\n", + "Total : 1.25609 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.7%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.8060e-02 sec\n", - "--- Collate = 1.1149e-04 sec\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6189e-03 sec\n", + "--- Collate = 5.6400e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.045598e-06 < 7.812500e-06 [3]\n", - "--- Max DT=2.373964e-02 > 2.000000e-03 [41646]\n", + "--- Min DT=3.517320e-06 < 7.812500e-06 [1]\n", + "--- Max DT=2.315263e-02 > 2.000000e-03 [40987]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 3/20000\n", - " Component | high: 41646/60000\n", + " Component | low: 1/20000\n", + " Component | high: 40987/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", - "--- Timer info [T=0.988] ---------------------------------------------\n", + "--- Timer info [T=1.988] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00198222 [ 0.11 %]\n", - "Velocity : 0.00867036 [ 0.47 %]\n", - "Force : 0.674599 [ 36.70 %]\n", - "Coefs : 0.257821 [ 14.02 %]\n", - "Output : 0.0230629 [ 1.25 %]\n", - "Levels : 0.000482689 [ 0.03 %]\n", - "Report : 1.534e-06 [ 0.00 %]\n", - "Balance : 7.03e-07 [ 0.00 %]\n", - "Adjust : 0.870875 [ 47.37 %]\n", - "Total : 1.8383 [100.00 %]\n", + "Drift : 0.000796759 [ 0.06 %]\n", + "Velocity : 0.00378983 [ 0.30 %]\n", + "Force : 0.49472 [ 39.38 %]\n", + "Coefs : 0.180586 [ 14.37 %]\n", + "Output : 0.00853864 [ 0.68 %]\n", + "Levels : 0.000264438 [ 0.02 %]\n", + "Report : 9.74e-07 [ 0.00 %]\n", + "Balance : 4.74e-07 [ 0.00 %]\n", + "Adjust : 0.567194 [ 45.15 %]\n", + "Total : 1.25631 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.1707e-02 sec\n", - "--- Collate = 9.1200e-05 sec\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.8496e-03 sec\n", + "--- Collate = 6.5912e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.841399e-06 < 7.812500e-06 [1]\n", - "--- Max DT=2.373957e-02 > 2.000000e-03 [41662]\n", + "--- Min DT=2.626544e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.314823e-02 > 2.000000e-03 [40993]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", - " Component | low: 1/20000\n", - " Component | high: 41662/60000\n", + " Component | low: 2/20000\n", + " Component | high: 40993/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", - "--- Timer info [T=0.99] ----------------------------------------------\n", - "----------------------------------------------------------------------\n", - "Drift : 0.00171266 [ 0.09 %]\n", - "Velocity : 0.00777651 [ 0.41 %]\n", - "Force : 0.666225 [ 35.30 %]\n", - "Coefs : 0.252447 [ 13.38 %]\n", - "Output : 0.0248381 [ 1.32 %]\n", - "Levels : 0.000538384 [ 0.03 %]\n", - "Report : 1.578e-06 [ 0.00 %]\n", - "Balance : 1.024e-06 [ 0.00 %]\n", - "Adjust : 0.93269 [ 49.42 %]\n", - "Total : 1.88717 [100.00 %]\n", + "--- Timer info [T=1.99] ----------------------------------------------\n", "----------------------------------------------------------------------\n", + "Drift : 0.000775013 [ 0.06 %]\n", + "Velocity : 0.00363309 [ 0.29 %]\n", + "Force : 0.490195 [ 39.01 %]\n", + "Coefs : 0.178439 [ 14.20 %]\n", + "Output : 0.0153269 [ 1.22 %]\n", + "Levels : 0.000453786 [ 0.04 %]\n", + "Report : 9.38e-07 [ 0.00 %]\n", + "Balance : 3.39e-07 [ 0.00 %]\n", + "Adjust : 0.567273 [ 45.15 %]\n", + "Total : 1.25648 [100.00 %]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.3%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0730e-02 sec\n", - "--- Collate = 9.5618e-05 sec\n", + "--- Coef/DT = 5.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.0993e-03 sec\n", + "--- Collate = 1.1811e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.374532e-02 > 2.000000e-03 [41675]\n", + "--- Min DT=1.280473e-06 < 7.812500e-06 [4]\n", + "--- Max DT=2.313917e-02 > 2.000000e-03 [41012]\n", "----------------------------------------------------------------------\n", - " Component | high: 41675/60000\n", - " Component | high: 0/20000\n", + " Component | low: 0/60000\n", + " Component | low: 4/20000\n", + " Component | high: 41011/60000\n", + " Component | high: 1/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", - "--- Timer info [T=0.992] ---------------------------------------------\n", + "--- Timer info [T=1.992] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00158248 [ 0.07 %]\n", - "Velocity : 0.00740379 [ 0.33 %]\n", - "Force : 0.709001 [ 31.71 %]\n", - "Coefs : 0.40418 [ 18.08 %]\n", - "Output : 0.0206922 [ 0.93 %]\n", - "Levels : 0.000642597 [ 0.03 %]\n", - "Report : 1.211e-06 [ 0.00 %]\n", - "Balance : 7.49e-07 [ 0.00 %]\n", - "Adjust : 1.09118 [ 48.81 %]\n", - "Total : 2.2356 [100.00 %]\n", + "Drift : 0.000825246 [ 0.06 %]\n", + "Velocity : 0.00416746 [ 0.33 %]\n", + "Force : 0.503664 [ 39.48 %]\n", + "Coefs : 0.181399 [ 14.22 %]\n", + "Output : 0.00956609 [ 0.75 %]\n", + "Levels : 0.00043029 [ 0.03 %]\n", + "Report : 1.178e-06 [ 0.00 %]\n", + "Balance : 5.44e-07 [ 0.00 %]\n", + "Adjust : 0.575403 [ 45.10 %]\n", + "Total : 1.27588 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.0%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.1615e-02 sec\n", - "--- Collate = 6.8732e-05 sec\n", + "--- Coef/DT = 6.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 9.1778e-03 sec\n", + "--- Collate = 7.1537e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.111205e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.374815e-02 > 2.000000e-03 [41644]\n", + "--- Min DT=3.614615e-06 < 7.812500e-06 [2]\n", + "--- Max DT=2.313410e-02 > 2.000000e-03 [41013]\n", "----------------------------------------------------------------------\n", " Component | low: 0/60000\n", " Component | low: 2/20000\n", - " Component | high: 41644/60000\n", + " Component | high: 41013/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", - "--- Timer info [T=0.994] ---------------------------------------------\n", + "--- Timer info [T=1.994] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00202375 [ 0.10 %]\n", - "Velocity : 0.00890214 [ 0.44 %]\n", - "Force : 0.701711 [ 34.77 %]\n", - "Coefs : 0.327978 [ 16.25 %]\n", - "Output : 0.0289748 [ 1.44 %]\n", - "Levels : 0.000562763 [ 0.03 %]\n", - "Report : 1.401e-06 [ 0.00 %]\n", - "Balance : 8.59e-07 [ 0.00 %]\n", - "Adjust : 0.946896 [ 46.92 %]\n", - "Total : 2.01799 [100.00 %]\n", + "Drift : 0.00116761 [ 0.08 %]\n", + "Velocity : 0.00595555 [ 0.42 %]\n", + "Force : 0.560628 [ 39.91 %]\n", + "Coefs : 0.194493 [ 13.85 %]\n", + "Output : 0.0123093 [ 0.88 %]\n", + "Levels : 0.00036658 [ 0.03 %]\n", + "Report : 1.172e-06 [ 0.00 %]\n", + "Balance : 3.33e-07 [ 0.00 %]\n", + "Adjust : 0.629117 [ 44.79 %]\n", + "Total : 1.40459 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.6%\n", + "--- Coef/DT = 5.9%\n", "--- Adj/Tot = 1.3%\n", - "--- Update = 9.5314e-03 sec\n", - "--- Collate = 9.1346e-05 sec\n", + "--- Update = 7.8829e-03 sec\n", + "--- Collate = 7.3102e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.943677e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.374350e-02 > 2.000000e-03 [41625]\n", + "--- Max DT=2.313044e-02 > 2.000000e-03 [41025]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41625/60000\n", + " Component | high: 41025/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", - "--- Timer info [T=0.996] ---------------------------------------------\n", + "--- Timer info [T=1.996] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00188907 [ 0.10 %]\n", - "Velocity : 0.00881703 [ 0.47 %]\n", - "Force : 0.67256 [ 35.65 %]\n", - "Coefs : 0.255171 [ 13.53 %]\n", - "Output : 0.0227664 [ 1.21 %]\n", - "Levels : 0.000661041 [ 0.04 %]\n", - "Report : 1.458e-06 [ 0.00 %]\n", - "Balance : 8.12e-07 [ 0.00 %]\n", - "Adjust : 0.924038 [ 48.98 %]\n", - "Total : 1.88662 [100.00 %]\n", + "Drift : 0.00109324 [ 0.08 %]\n", + "Velocity : 0.00540796 [ 0.39 %]\n", + "Force : 0.562467 [ 40.07 %]\n", + "Coefs : 0.197248 [ 14.05 %]\n", + "Output : 0.0125335 [ 0.89 %]\n", + "Levels : 0.000495836 [ 0.04 %]\n", + "Report : 1.509e-06 [ 0.00 %]\n", + "Balance : 4.8e-07 [ 0.00 %]\n", + "Adjust : 0.623777 [ 44.44 %]\n", + "Total : 1.40357 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.0%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 9.2008e-03 sec\n", - "--- Collate = 1.3850e-04 sec\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.6422e-03 sec\n", + "--- Collate = 7.3757e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.178952e-06 < 7.812500e-06 [2]\n", - "--- Max DT=2.373858e-02 > 2.000000e-03 [41622]\n", + "--- Max DT=2.313365e-02 > 2.000000e-03 [41015]\n", "----------------------------------------------------------------------\n", - " Component | low: 0/60000\n", - " Component | low: 2/20000\n", - " Component | high: 41622/60000\n", + " Component | high: 41015/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", - "--- Timer info [T=0.998] ---------------------------------------------\n", + "--- Timer info [T=1.998] ---------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00201947 [ 0.11 %]\n", - "Velocity : 0.00954953 [ 0.54 %]\n", - "Force : 0.625603 [ 35.34 %]\n", - "Coefs : 0.24502 [ 13.84 %]\n", - "Output : 0.0245681 [ 1.39 %]\n", - "Levels : 0.000526185 [ 0.03 %]\n", - "Report : 9.53e-07 [ 0.00 %]\n", - "Balance : 5.72e-07 [ 0.00 %]\n", - "Adjust : 0.862416 [ 48.71 %]\n", - "Total : 1.77042 [100.00 %]\n", + "Drift : 0.00102947 [ 0.08 %]\n", + "Velocity : 0.00477784 [ 0.35 %]\n", + "Force : 0.552965 [ 40.44 %]\n", + "Coefs : 0.192189 [ 14.06 %]\n", + "Output : 0.0114921 [ 0.84 %]\n", + "Levels : 0.000282562 [ 0.02 %]\n", + "Report : 1.33e-06 [ 0.00 %]\n", + "Balance : 3.53e-07 [ 0.00 %]\n", + "Adjust : 0.604136 [ 44.18 %]\n", + "Total : 1.36739 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.4%\n", + "--- Coef/DT = 5.7%\n", "--- Adj/Tot = 1.2%\n", - "--- Update = 9.7361e-03 sec\n", - "--- Collate = 7.3714e-05 sec\n", + "--- Update = 7.8947e-03 sec\n", + "--- Collate = 6.1076e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Max DT=2.373181e-02 > 2.000000e-03 [41613]\n", + "--- Min DT=6.543546e-07 < 7.812500e-06 [2]\n", + "--- Max DT=2.313838e-02 > 2.000000e-03 [40992]\n", "----------------------------------------------------------------------\n", - " Component | high: 41613/60000\n", + " Component | low: 0/60000\n", + " Component | low: 2/20000\n", + " Component | high: 40992/60000\n", " Component | high: 0/20000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", - "--- Timer info [T=1] -------------------------------------------------\n", + "--- Timer info [T=2] -------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00189091 [ 0.11 %]\n", - "Velocity : 0.00930831 [ 0.53 %]\n", - "Force : 0.538453 [ 30.46 %]\n", - "Coefs : 0.202389 [ 11.45 %]\n", - "Output : 0.274266 [ 15.51 %]\n", - "Levels : 0.000612592 [ 0.03 %]\n", - "Report : 1.392e-06 [ 0.00 %]\n", - "Balance : 8.23e-07 [ 0.00 %]\n", - "Adjust : 0.740215 [ 41.87 %]\n", - "Total : 1.76791 [100.00 %]\n", - "----------------------------------------------------------------------\n", - "----------------------------------------------------------------------\n", - "Process 0 on raven pid=224435 ROOT NODE\t Exiting EXP\n", - "---- ---- ---- ---- Process 1 on raven pid=224436 rank in WORKER: 1\t Exiting EXP\n", - "Process 2 on raven pid=224437 rank in WORKER: 2\t Exiting EXP\n", - "---- ---- ---- ---- ---- ---- Process 3 on raven pid=224438 rank in WORKER: 3\t Exiting EXP\n", - "Process 4 on raven pid=224439 rank in WORKER: 4\t Exiting EXP\n", - "Process 5 on raven pid=224440 rank in WORKER: 5\t Exiting EXP\n", - "---- ---- ---- ---- ---- ---- ---- ---- Process 6 on raven pid=224441 rank in WORKER: 6\t Exiting EXP\n", - "Process 7 on raven pid=224444 rank in WORKER: 7\t Exiting EXP\n", - "Process 8 on raven pid=224445 rank in WORKER: 8\t Exiting EXP\n", - "Process 9 on raven pid=224448 rank in WORKER: 9\t Exiting EXP\n", - "---- ---- ---- ---- ---- ---- ---- ---- Process 10 on raven pid=224449 rank in WORKER: 10\t Exiting EXP\n", - "Process 11 on raven pid=224451 rank in WORKER: 11\t Exiting EXP\n", - "Process 12 on raven pid=224454 rank in WORKER: 12\t Exiting EXP\n", - "Process 13 on raven pid=224456 rank in WORKER: 13\t Exiting EXP\n", - "----------------------------------------------------------------------\n", - "\n", - "CPU times: user 48.8 s, sys: 6.74 s, total: 55.5 s\n", - "Wall time: 24min 54s\n" + "Drift : 0.000839515 [ 0.06 %]\n", + "Velocity : 0.00419729 [ 0.28 %]\n", + "Force : 0.52393 [ 35.35 %]\n", + "Coefs : 0.18867 [ 12.73 %]\n", + "Output : 0.174086 [ 11.74 %]\n", + "Levels : 0.000303165 [ 0.02 %]\n", + "Report : 7.83e-07 [ 0.00 %]\n", + "Balance : 3.13e-07 [ 0.00 %]\n", + "Adjust : 0.589796 [ 39.79 %]\n", + "Total : 1.48226 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Process 0 on raven pid=1184388 ROOT NODE\t Exiting EXP\n", + "---- ---- Process 1 on raven pid=1184389 rank in WORKER: 1\t Exiting EXP\n", + "---- ---- Process 2 on raven pid=1184390 rank in WORKER: 2\t Exiting EXP\n", + "---- ---- Process 3 on raven pid=1184391 rank in WORKER: 3\t Exiting EXP\n", + "---- ---- Process 4 on raven pid=1184392 rank in WORKER: 4\t Exiting EXP\n", + "---- ---- Process 5 on raven pid=1184393 rank in WORKER: 5\t Exiting EXP\n", + "---- ---- Process 6 on raven pid=1184394 rank in WORKER: 6\t Exiting EXP\n", + "Process 7---- ---- on raven pid=1184395 rank in WORKER: 7\t Exiting EXP\n", + "---- ---- Process 8 on raven pid=1184396 rank in WORKER: 8\t Exiting EXP\n", + "---- ---- Process 9 on raven pid=1184397 rank in WORKER: 9\t Exiting EXP\n", + "Process 10 on raven pid=1184398 rank in WORKER: 10\t Exiting EXP\n", + "---- ---- ---- ---- Process 11 on raven pid=1184401 rank in WORKER: 11\t Exiting EXP\n", + "Process ---- ---- 12 on raven pid=1184403 rank in WORKER: 12\t Exiting EXP\n", + "Process 13 on raven pid=1184407 rank in WORKER: 13\t Exiting EXP\n", + "---- ---- ----------------------------------------------------------------------\n", + "\n" ] } ], "source": [ - "%%time\n", - "! rm data/*\n", "! mpirun exp" ] }, @@ -16706,19 +34140,10 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "id": "187e82a8-b4e7-45c7-9e73-b18870d1dcb8", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "/home/weinberg/Projects/pyEXP-examples/Tutorials/EXP/DiskHalo\n", - "data/OUTLOG.run0\n" - ] - } - ], + "outputs": [], "source": [ "!pwd\n", "!ls data/OUTLOG.run0" @@ -16726,21 +34151,10 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "id": "4fa75c42-cbaa-4ca3-a7de-2aa225e71b06", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# This parses the OUTLOG files generated by exp. You can see available columns by printing the keys\n", "# in the dictionary 'data'. For this plot, we will only look at twice the ratio of kinetic energy to potential energy\n", @@ -16784,18 +34198,10 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "id": "6aa835b8", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Got coefs for name= star disk\n" - ] - } - ], + "outputs": [], "source": [ "# Reread the coefs from the file. These are new HDF5 coefficients sets.\n", "#\n", @@ -16814,19 +34220,10 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "id": "bdffecf3", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The data sizes and coefficient orders are:\n", - "M orders, N orders, Times: (3, 8, 501)\n" - ] - } - ], + "outputs": [], "source": [ "times = coefs.Times()\n", "data = coefs.getAllCoefs()\n", @@ -16845,21 +34242,10 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "31b7d164", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "for m in range(1, data.shape[0]):\n", " for n in range(4):\n", @@ -16881,33 +34267,10 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "id": "0db97315-a980-405c-8590-c2c5c3bc37c2", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Index 0 is dark halo\n", - "Index 1 is star disk\n", - "\n", - "Index 1 config is: id: cylinder\n", - "parameters:\n", - " acyl: 0.01\n", - " cachename: eof.cache.test\n", - " hcyl: 0.002\n", - " lmaxfid: 48\n", - " mmax: 2\n", - " ncylnx: 256\n", - " ncylny: 128\n", - " ncylodd: 2\n", - " nmax: 8\n", - " nmaxfid: 48\n", - "\n" - ] - } - ], + "outputs": [], "source": [ "with open('config.yml', 'r') as f:\n", " yaml_db = yaml.load(f, Loader=yaml.FullLoader)\n", @@ -16931,27 +34294,17 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "id": "d8a06885", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "---- EmpCylSL::ReadH5Cache: read \n", - "---- EmpCylSL::read_cache: table forwarded to all processes\n", - "Cylindrical::orthoTest: worst=9.03892e-05\n" - ] - } - ], + "outputs": [], "source": [ "basis = pyEXP.basis.Basis.factory(config)" ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "id": "0ed9e5db", "metadata": {}, "outputs": [], @@ -16961,7 +34314,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "id": "55c77d77-feb5-4a16-b77e-8e104bf4f09b", "metadata": { "scrolled": true @@ -16991,7 +34344,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "id": "b2281d88-d61f-4655-aae3-9df591ff4d6f", "metadata": {}, "outputs": [], @@ -17009,20 +34362,12 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "id": "b38690a3-3062-4ec5-94a8-bdccb259cbf2", "metadata": { "scrolled": true }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Density range -706.22186 55059.957\n" - ] - } - ], + "outputs": [], "source": [ "densmin = 1.0e30\n", "densmax = -1.0e30\n", @@ -17048,7 +34393,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "id": "f329c739", "metadata": {}, "outputs": [], @@ -17090,75 +34435,10 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "id": "129ff220-da13-4897-a674-b39925130d8f", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers\n", - " built with gcc 13 (Ubuntu 13.2.0-23ubuntu3)\n", - " configuration: --prefix=/usr --extra-version=3ubuntu5 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --disable-omx --enable-gnutls --enable-libaom --enable-libass --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libdav1d --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libglslang --enable-libgme --enable-libgsm --enable-libharfbuzz --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzimg --enable-openal --enable-opencl --enable-opengl --disable-sndio --enable-libvpl --disable-libmfx --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-ladspa --enable-libbluray --enable-libjack --enable-libpulse --enable-librabbitmq --enable-librist --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libx264 --enable-libzmq --enable-libzvbi --enable-lv2 --enable-sdl2 --enable-libplacebo --enable-librav1e --enable-pocketsphinx --enable-librsvg --enable-libjxl --enable-shared\n", - " libavutil 58. 29.100 / 58. 29.100\n", - " libavcodec 60. 31.102 / 60. 31.102\n", - " libavformat 60. 16.100 / 60. 16.100\n", - " libavdevice 60. 3.100 / 60. 3.100\n", - " libavfilter 9. 12.100 / 9. 12.100\n", - " libswscale 7. 5.100 / 7. 5.100\n", - " libswresample 4. 12.100 / 4. 12.100\n", - " libpostproc 57. 3.100 / 57. 3.100\n", - "Input #0, image2, from 'disk_%04d.png':\n", - " Duration: 00:00:20.04, start: 0.000000, bitrate: N/A\n", - " Stream #0:0: Video: png, rgba(pc, gbr/unknown/unknown), 1200x900 [SAR 3937:3937 DAR 4:3], 25 fps, 25 tbr, 25 tbn\n", - "Stream mapping:\n", - " Stream #0:0 -> #0:0 (png (native) -> h264 (libx264))\n", - "Press [q] to stop, [?] for help\n", - "[libx264 @ 0x6458a771a800] using SAR=1/1\n", - "[libx264 @ 0x6458a771a800] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2\n", - "[libx264 @ 0x6458a771a800] profile High 4:4:4 Predictive, level 3.2, 4:4:4, 8-bit\n", - "[libx264 @ 0x6458a771a800] 264 - core 164 r3108 31e19f9 - H.264/MPEG-4 AVC codec - Copyleft 2003-2023 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=4 threads=28 lookahead_threads=4 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=25 scenecut=40 intra_refresh=0 rc_lookahead=40 rc=crf mbtree=1 crf=23.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00\n", - "Output #0, mp4, to 'disk_run0.mp4':\n", - " Metadata:\n", - " encoder : Lavf60.16.100\n", - " Stream #0:0: Video: h264 (avc1 / 0x31637661), yuv444p(tv, progressive), 1200x900 [SAR 1:1 DAR 4:3], q=2-31, 25 fps, 12800 tbn\n", - " Metadata:\n", - " encoder : Lavc60.31.102 libx264\n", - " Side data:\n", - " cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A\n", - "[out#0/mp4 @ 0x6458a77197c0] video:911kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.737377%\n", - "frame= 501 fps= 58 q=-1.0 Lsize= 918kB time=00:00:19.92 bitrate= 377.5kbits/s speed=2.29x \n", - "[libx264 @ 0x6458a771a800] frame I:3 Avg QP:16.64 size: 13990\n", - "[libx264 @ 0x6458a771a800] frame P:126 Avg QP:16.62 size: 2769\n", - "[libx264 @ 0x6458a771a800] frame B:372 Avg QP:23.41 size: 1456\n", - "[libx264 @ 0x6458a771a800] consecutive B-frames: 1.0% 0.0% 0.0% 99.0%\n", - "[libx264 @ 0x6458a771a800] mb I I16..4: 16.8% 71.2% 12.0%\n", - "[libx264 @ 0x6458a771a800] mb P I16..4: 2.0% 5.7% 0.5% P16..4: 12.7% 3.9% 0.6% 0.0% 0.0% skip:74.7%\n", - "[libx264 @ 0x6458a771a800] mb B I16..4: 0.1% 0.5% 0.0% B16..8: 20.2% 1.7% 0.0% direct: 0.0% skip:77.5% L0:48.9% L1:51.0% BI: 0.1%\n", - "[libx264 @ 0x6458a771a800] 8x8 transform intra:71.5% inter:74.6%\n", - "[libx264 @ 0x6458a771a800] coded y,u,v intra: 3.7% 2.1% 2.2% inter: 0.2% 0.1% 0.1%\n", - "[libx264 @ 0x6458a771a800] i16 v,h,dc,p: 58% 34% 7% 0%\n", - "[libx264 @ 0x6458a771a800] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 18% 9% 65% 1% 2% 2% 2% 1% 1%\n", - "[libx264 @ 0x6458a771a800] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 31% 22% 31% 3% 4% 3% 4% 2% 1%\n", - "[libx264 @ 0x6458a771a800] Weighted P-Frames: Y:0.0% UV:0.0%\n", - "[libx264 @ 0x6458a771a800] ref P L0: 62.8% 0.5% 20.8% 16.0%\n", - "[libx264 @ 0x6458a771a800] ref B L0: 85.2% 12.1% 2.7%\n", - "[libx264 @ 0x6458a771a800] ref B L1: 93.3% 6.7%\n", - "[libx264 @ 0x6458a771a800] kb/s:372.25\n" - ] - }, - { - "data": { - "text/plain": [ - "0" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "os.system('ffmpeg -y -i \\'disk_%04d.png\\' disk_{0}.mp4'.format('run0'))" ] @@ -17173,27 +34453,10 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": null, "id": "014541a0-6683-415a-b334-295343d87875", "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "from IPython.display import Video\n", "Video('disk_{}.mp4'.format('run0'), embed=True, width=800)" @@ -17226,7 +34489,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": null, "id": "8316883a-9440-4e9e-9a7a-dbdbf5d57e77", "metadata": { "scrolled": true @@ -17261,19 +34524,10 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": null, "id": "e43eb3c0-bb99-422b-bd20-d27aa1fbff5b", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Level surfaces: [ 1000. 3162.27766017 10000. 31622.77660168\n", - " 100000. ] [3. 3.5 4. 4.5 5. ]\n" - ] - } - ], + "outputs": [], "source": [ "# levels for rendering \n", "dmax, ommax = getLim(math.log10(densmax))\n", @@ -17296,27 +34550,12 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": null, "id": "f166c616-8ff8-40fe-a37c-ecb033e3a9de", "metadata": { "scrolled": true }, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "c6ef1835d6b44751a7ab95b15332fef4", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "plot = k3d.plot(axes=['z', 'y', 'x'])\n", "color_map = k3d.basic_color_maps.Jet\n", @@ -17351,19 +34590,10 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": null, "id": "136ec87b-f3f5-4cae-9871-cab3f1072505", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "---- SLGridSph::ReadH5Cache: successfully read basis cache \n", - "Spherical::orthoTest: worst=0.00990365\n" - ] - } - ], + "outputs": [], "source": [ "halo_config = yaml.dump(yaml_db['Components'][0]['force'])\n", "halo_basis = pyEXP.basis.Basis.factory(halo_config)\n", @@ -17372,7 +34602,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": null, "id": "5ada0789-b1f2-44a3-b9a7-b96df6e72b47", "metadata": {}, "outputs": [], @@ -17399,7 +34629,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": null, "id": "aac9891a-b0d3-4986-bbc3-bbd2da62ee88", "metadata": {}, "outputs": [], @@ -17426,34 +34656,10 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": null, "id": "0ffee2b7-b46b-4854-9be9-fa72bb13fb20", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Density range -96.61719 81.653275\n", - "Level surfaces: [-96.6171875 -66.90544383 -37.19370015 -7.48195648 22.22978719\n", - " 51.94153086 81.65327454]\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "8441978ef32e4a4e8a5f9d7e1ff56ca2", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# Get the non-axisymmetric density\n", "\n", @@ -17483,6 +34689,21 @@ "plot2.display()\n", "plot2.camera = [0.01, 0.01, 0.01, 0.0, 0.0, 0.0, 1, 0, 0]" ] + }, + { + "cell_type": "markdown", + "id": "ccbd01d2", + "metadata": {}, + "source": [ + "\n", + "***\n", + "\n", + "## Where do you want to go next?\n", + "\n", + "- [Return to Table of Contents](../README.ipynb)\n", + "- [Back to previous notebook](../Orbits/orbits%20with%20a%20custom%20force.ipynb)\n", + "- [Go to next notebook](cube%20run.ipynb)\n" + ] } ], "metadata": { diff --git a/Tutorials/EXP/zang disk vel.ipynb b/Tutorials/EXP/zang disk vel.ipynb new file mode 100644 index 0000000..c8800d7 --- /dev/null +++ b/Tutorials/EXP/zang disk vel.ipynb @@ -0,0 +1,99124 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "d7fd2826", + "metadata": {}, + "source": [ + "# Test of doubly tapered Mestel disk simulation with EXP\n", + "\n", + "$$\n", + "\\Psi_o(R) = V_o^2 \\log\\frac{R}{R_o} \\qquad \\Sigma(R) = \\frac{V_o^2}{2\\pi G R} T_{inner}(R) T_{outer}(R)\n", + "$$\n", + "where\n", + "$$\n", + "T_{inner}(R) = \\frac{R^\\nu}{R_i^\\nu | R^\\nu}\n", + "$$\n", + "and\n", + "$$\n", + "T_{outer}(R) = \\frac{R_o^\\mu}{R_o^\\mu+R^\\mu}\n", + "$$" + ] + }, + { + "cell_type": "markdown", + "id": "c9477147", + "metadata": {}, + "source": [ + "### pyEXP setup" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "f2b21021", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "/home/weinberg/Projects/pyEXP-examples/Tutorials/EXP/Zang\n" + ] + } + ], + "source": [ + "import os\n", + "import copy\n", + "import yaml\n", + "import time\n", + "import pyEXP\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib import ticker, cm, colors\n", + "from os.path import exists\n", + "\n", + "plt.rcParams['figure.figsize'] = [12, 9]\n", + "\n", + "# Change to the example's working directory\n", + "os.chdir('Zang')\n", + "print(os.getcwd())\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "d6dd55bc", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "Ri = 1.0\n", + "Ro = 11.5\n", + "Vo = 1.0\n", + "Nu = 4.0\n", + "Mu = 5.0\n", + "Rmin = 0.01\n", + "Rmax = 50.0\n", + "\n", + "def Tinner(R, nu):\n", + " return np.power(R, nu)/(np.power(R, nu) + np.power(Ri, nu))\n", + "\n", + "def Touter(R, mu):\n", + " return np.power(Ro, mu)/(np.power(R, mu) + np.power(Ro, mu))\n", + "\n", + "def Sigma(R, nu, mu):\n", + " return Vo**2/(2*np.pi*R)*Tinner(R, nu)*Touter(R, mu)\n", + "\n", + "R = np.arange(Rmin, Rmax, 0.1)\n", + "D = Sigma(R, Nu, Mu)\n", + "plt.loglog(R, D)\n", + "plt.xlabel('R')\n", + "plt.ylabel(r'$\\Sigma(R)$')\n", + "plt.savefig('density.png')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "99f7646f-9477-47f0-a695-875adee10b39", + "metadata": {}, + "source": [ + "## Save this profile to a file to make a velocity profile" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "d4a93028-5052-404f-a481-374821792beb", + "metadata": {}, + "outputs": [], + "source": [ + "file = open('density.model', 'w')\n", + "for index in range(len(R)):\n", + " file.write('{:13.6e} {:13.6e}\\n'.format(R[index], D[index]))\n", + "file.close()" + ] + }, + { + "cell_type": "markdown", + "id": "d017b1c8-55bd-4f21-bfb4-a24509ab1f8d", + "metadata": {}, + "source": [ + "## Make initial conditions\n", + "\n", + "Initial conditions can be made with the `zangics` utility. The options are:" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "ab8328aa-2cc8-49f4-92dd-471398dc026e", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ideal tapered Mestel IC generator\n", + "Usage:\n", + " zangics [OPTION...]\n", + "\n", + " -h, --help Print this help message\n", + " -V, --nozerovel Do not zero the mean velocity\n", + " -P, --nozeropos Do not zero the center of mass\n", + " -d, --debug Print debug grid\n", + " -N, --number arg Number of particles to generate (default: 100000)\n", + " -n, --nu arg Inner taper exponent (0 for no taper) (default: 2.0)\n", + " -m, --mu arg Outer taper exponent (0 for no taper) (default: 2.0)\n", + " -i, --Ri arg Inner radius for taper (default: 1.0)\n", + " -o, --Ro arg Outer radius for taper (default: 20.0)\n", + " -r, --Rmin arg Inner radius for model (default: 0.001)\n", + " -R, --Rmax arg Outer radius for model (default: 50.0)\n", + " -S, --sigma arg Radial velocity dispersion (default: 1.0)\n", + " -s, --seed arg Random number seed. Default: use /dev/random\n", + " -f, --file arg Output body file (default: zang.bods)\n", + "\n", + "\n" + ] + } + ], + "source": [ + "! zangics -h" + ] + }, + { + "cell_type": "markdown", + "id": "fefdbdb5-a2ee-48a4-9ca0-8b22272e4534", + "metadata": {}, + "source": [ + "Let's make a set of initial conditions for the disk illustrated above." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "a072d2dd-9748-4019-a3f5-10b5b1a74855", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "0% 10 20 30 40 50 60 70 80 90 100%\n", + "|----|----|----|----|----|----|----|----|----|----|\n", + "***************************************************\n", + "\n", + "** Main loop complete\n", + "** Position center: 0.0354475, -0.0320385, 0\n", + "** Velocity center: 0.00471458, 0.0028949, 0\n", + "** 0 particles failed acceptance\n", + "** Particle mass=0.000201561\n", + "** 2T/VC=1.00027\n" + ] + }, + { + "data": { + "text/plain": [ + "0" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "N = 100000\n", + "S = 0.325\n", + "os.system('zangics --number {} --nu {} --mu {} --Rmin {} --Rmax {} --sigma {}'.format(N, Nu, Mu, Rmin, Rmax, S))" + ] + }, + { + "cell_type": "markdown", + "id": "5e00a807-b9af-4216-ab1f-352cae1218a1", + "metadata": {}, + "source": [ + "### Running the simulation" + ] + }, + { + "cell_type": "markdown", + "id": "8e5e4ea3-9f9e-44cc-bf02-4b162846cc70", + "metadata": {}, + "source": [ + "We have provided a sample `exp` configuration file in this working directory. The default name for a configuration file is\n", + "`config.yml`. \n", + "\n", + "The basis build can take minutes. If you want to experiment with the disk parameters, be prepared to wait a few minutes while \n", + "the basis rebuilds. The entire run will take under an hour; and under 10 minutes on a modern laptop. So be prepared to \n", + "take a short break. \n", + "\n", + "The `exp` code will run for 1000 steps. You can estimate the total run time by looking at the last line of every step diagnostic \n", + "stanza that estimates the time needed for each part of the caluculation. The 'Total' field is the total run time in seconds per step. E.g. if your computer is requiring 0.3 seconds per step, the completion time will be 10 minutes." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "00ff46f1-7739-49b5-b495-8d6e7936dccc", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n", + "\n", + "# Node name PID Executable \n", + "- --------- --- ---------- \n", + "0 be38603b8704 925 exp \n", + "1 be38603b8704 926 exp \n", + "2 be38603b8704 927 exp \n", + "3 be38603b8704 928 exp \n", + "%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n", + "\n", + "\n", + "\n", + "%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n", + "%%%%% This is EXP 7.7.99 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n", + "%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n", + "%%%%% Repository URL | https://github.com/EXP-code/EXP %\n", + "%%%%% Current branch | main %\n", + "%%%%% Current commit | dccf0b8fa7a3b18929f277a50d8a7bc312cba935 %\n", + "%%%%% Compile time | 2025-02-20 14:32:00 UTC %\n", + "%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n", + "\n", + "---- Random seed for Node 0 is: 11\n", + "---- Output path is a directory . . . good\n", + "---- Test file opened and deleted in output directory, good!\n", + "---- ComponentContainer can not find . . . will assume homogeneous cluster\n", + "---- ComponentContainer could not open , assuming a new run\n", + "---- BiorthCyl::ReadH5Cache: error opening HDF5 basis cache \n", + "---- EmpCyl2d::ModelCyl: Making a double-tapered Zang with {vrot: 1.0, Ninner: 4.0, Mouter: 5.0, Ri: 1.0, Ro: 11.5}\n", + "---- EmpCyl2d::Basis2d: Making a finite Bessel basis\n", + "---- EmpCyl2d::ReadH5Cache: recomputing cache for HighFive API change\n", + "---- EmpCyl2d::WriteH5Cache: wrote <.eof_cache_2d>\n", + "---- BiorthCyl::create_tables: creating 3d basis...\n", + "---- BiorthCyl::create_tables: done!\n", + "---- BiorthCyl::WriteH5Cache: wrote \n", + "---- FlatDisk: Making a double-tapered Zang with {vrot: 1.0, Ninner: 4.0, Mouter: 5.0, Ri: 1.0, Ro: 11.5}\n", + "---- FlatDisk parameters: \n", + "---- lmax=4\n", + "---- nmax=6\n", + "---- rcylmin=0.01\n", + "---- rcylmax=50\n", + "---- logr=false\n", + "---- NO_L0=false\n", + "---- NO_L1=false\n", + "---- EVEN_M=true\n", + "---- M0_ONLY=false\n", + "---- selfgrav=true\n", + "---- Component : user specified initial center: x, y, z: 0, 0, 0\n", + "---- Component : multistep level reporting every 1 steps\n", + "---- Component : multistep noswitching is false, freezeL is false, and last step criteria is true\n", + "\n", + "ExternalCollection:\n", + "-----------------------------------------------------------------------\n", + "Loaded user libraries \n", + "-----------------------------------------------------------------------\n", + "Available user routines are \n", + "-----------------------------------------------------------------------\n", + "\n", + "------------------------------------------------------------------------\n", + "No external force entries\n", + "------------------------------------------------------------------------\n", + "FieldBasis::orthoTest: worst=2.92821e-15\n", + "OutCHKPT::Run(): error unlinking old backup file , it may not exist\n", + "OutCHKPT: renaming backup file , it may not exist\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 9.9147e-03 sec\n", + "--- Collate = 8.6680e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.513033e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.044372e-01 > 1.000000e-01 [71150]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71150/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=0.1] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000932507 [ 0.27 %]\n", + "Velocity : 0.00317773 [ 0.92 %]\n", + "Force : 0.0737622 [ 21.35 %]\n", + "Coefs : 0.0278981 [ 8.08 %]\n", + "Output : 0.00126961 [ 0.37 %]\n", + "Levels : 0.000121944 [ 0.04 %]\n", + "Report : 6.17e-07 [ 0.00 %]\n", + "Balance : 4.25e-07 [ 0.00 %]\n", + "Adjust : 0.238243 [ 68.97 %]\n", + "Total : 0.345451 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23285 1384 280 29 12 4 6 \n", + "1 : 23280 1410 261 24 9 11 5 \n", + "2 : 23284 1397 278 24 12 1 4 \n", + "3 : 23267 1425 267 23 11 5 2 \n", + "\n", + "T : 93116 5616 1086 100 44 21 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0177e-02 sec\n", + "--- Collate = 8.6110e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.834162e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.044291e-01 > 1.000000e-01 [71140]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71140/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=0.2] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00138783 [ 0.43 %]\n", + "Velocity : 0.00317788 [ 0.98 %]\n", + "Force : 0.0652014 [ 20.11 %]\n", + "Coefs : 0.0152697 [ 4.71 %]\n", + "Output : 0.00126986 [ 0.39 %]\n", + "Levels : 7.9889e-05 [ 0.02 %]\n", + "Report : 2.2e-07 [ 0.00 %]\n", + "Balance : 8.8e-08 [ 0.00 %]\n", + "Adjust : 0.237824 [ 73.34 %]\n", + "Total : 0.324259 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23286 1384 281 24 14 4 7 \n", + "1 : 23284 1401 267 26 9 6 7 \n", + "2 : 23280 1401 277 25 11 2 4 \n", + "3 : 23263 1431 269 23 6 5 3 \n", + "\n", + "T : 93113 5617 1094 98 40 17 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0271e-02 sec\n", + "--- Collate = 9.9120e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.303568e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.044205e-01 > 1.000000e-01 [71147]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71147/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=0.3] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00132848 [ 0.41 %]\n", + "Velocity : 0.00325844 [ 1.00 %]\n", + "Force : 0.0654608 [ 20.07 %]\n", + "Coefs : 0.0154283 [ 4.73 %]\n", + "Output : 0.00128173 [ 0.39 %]\n", + "Levels : 8.8696e-05 [ 0.03 %]\n", + "Report : 2.09e-07 [ 0.00 %]\n", + "Balance : 8.2e-08 [ 0.00 %]\n", + "Adjust : 0.239245 [ 73.36 %]\n", + "Total : 0.326141 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23286 1382 284 23 11 10 4 \n", + "1 : 23285 1398 268 29 5 4 11 \n", + "2 : 23283 1399 276 25 12 1 4 \n", + "3 : 23258 1439 269 19 5 6 4 \n", + "\n", + "T : 93112 5618 1097 96 33 21 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0036e-02 sec\n", + "--- Collate = 9.0830e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.542350e-04 < 1.562500e-03 [12]\n", + "--- Max DT=3.044113e-01 > 1.000000e-01 [71141]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71141/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=0.4] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00139302 [ 0.42 %]\n", + "Velocity : 0.00337877 [ 1.02 %]\n", + "Force : 0.0650005 [ 19.65 %]\n", + "Coefs : 0.015907 [ 4.81 %]\n", + "Output : 0.00134321 [ 0.41 %]\n", + "Levels : 8.1444e-05 [ 0.02 %]\n", + "Report : 2.24e-07 [ 0.00 %]\n", + "Balance : 6.6e-08 [ 0.00 %]\n", + "Adjust : 0.243722 [ 73.66 %]\n", + "Total : 0.330873 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23289 1380 278 27 13 8 5 \n", + "1 : 23282 1399 270 28 8 5 8 \n", + "2 : 23282 1400 275 22 13 4 4 \n", + "3 : 23257 1442 264 24 5 1 7 \n", + "\n", + "T : 93110 5621 1087 101 39 18 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0072e-02 sec\n", + "--- Collate = 9.0610e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.044850e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.044015e-01 > 1.000000e-01 [71145]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71145/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=0.5] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00135838 [ 0.41 %]\n", + "Velocity : 0.00335344 [ 1.01 %]\n", + "Force : 0.065221 [ 19.64 %]\n", + "Coefs : 0.0150475 [ 4.53 %]\n", + "Output : 0.00131924 [ 0.40 %]\n", + "Levels : 8.1168e-05 [ 0.02 %]\n", + "Report : 2.13e-07 [ 0.00 %]\n", + "Balance : 7.6e-08 [ 0.00 %]\n", + "Adjust : 0.245633 [ 73.97 %]\n", + "Total : 0.33206 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23289 1379 287 19 12 8 6 \n", + "1 : 23279 1401 273 27 7 6 7 \n", + "2 : 23281 1399 278 23 11 4 4 \n", + "3 : 23255 1440 265 25 5 4 6 \n", + "\n", + "T : 93104 5619 1103 94 35 22 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0293e-02 sec\n", + "--- Collate = 9.8260e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.357738e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.043912e-01 > 1.000000e-01 [71141]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71141/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=0.6] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00133724 [ 0.40 %]\n", + "Velocity : 0.0032112 [ 0.95 %]\n", + "Force : 0.0651773 [ 19.38 %]\n", + "Coefs : 0.0150585 [ 4.48 %]\n", + "Output : 0.00135275 [ 0.40 %]\n", + "Levels : 8.296e-05 [ 0.02 %]\n", + "Report : 5.51e-07 [ 0.00 %]\n", + "Balance : 8.2e-08 [ 0.00 %]\n", + "Adjust : 0.250111 [ 74.35 %]\n", + "Total : 0.336378 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23290 1381 279 27 10 5 8 \n", + "1 : 23281 1397 274 27 10 7 4 \n", + "2 : 23278 1401 278 25 9 4 5 \n", + "3 : 23257 1435 267 26 4 5 6 \n", + "\n", + "T : 93106 5614 1098 105 33 21 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 9.9926e-03 sec\n", + "--- Collate = 9.3490e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.770972e-06 < 1.562500e-03 [16]\n", + "--- Max DT=3.043806e-01 > 1.000000e-01 [71145]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71145/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=0.7] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00138822 [ 0.41 %]\n", + "Velocity : 0.00322833 [ 0.96 %]\n", + "Force : 0.065117 [ 19.41 %]\n", + "Coefs : 0.0168596 [ 5.02 %]\n", + "Output : 0.00137952 [ 0.41 %]\n", + "Levels : 9.0585e-05 [ 0.03 %]\n", + "Report : 2.4e-07 [ 0.00 %]\n", + "Balance : 8.2e-08 [ 0.00 %]\n", + "Adjust : 0.247446 [ 73.74 %]\n", + "Total : 0.335554 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23289 1381 280 29 7 5 9 \n", + "1 : 23281 1398 271 27 13 5 5 \n", + "2 : 23281 1401 276 22 9 6 5 \n", + "3 : 23257 1433 268 26 6 4 6 \n", + "\n", + "T : 93108 5613 1095 104 35 20 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0120e-02 sec\n", + "--- Collate = 1.0369e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.593503e-04 < 1.562500e-03 [11]\n", + "--- Max DT=3.043696e-01 > 1.000000e-01 [71140]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71140/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=0.8] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00141812 [ 0.43 %]\n", + "Velocity : 0.00345015 [ 1.04 %]\n", + "Force : 0.0652643 [ 19.67 %]\n", + "Coefs : 0.0150917 [ 4.55 %]\n", + "Output : 0.00134045 [ 0.40 %]\n", + "Levels : 8.0563e-05 [ 0.02 %]\n", + "Report : 2.25e-07 [ 0.00 %]\n", + "Balance : 7.8e-08 [ 0.00 %]\n", + "Adjust : 0.245028 [ 73.87 %]\n", + "Total : 0.331722 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23287 1388 275 27 10 3 10 \n", + "1 : 23275 1406 268 30 12 2 7 \n", + "2 : 23279 1401 274 26 10 4 6 \n", + "3 : 23257 1430 273 25 8 2 5 \n", + "\n", + "T : 93098 5625 1090 108 40 11 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0489e-02 sec\n", + "--- Collate = 8.8300e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.858183e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.043584e-01 > 1.000000e-01 [71135]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71135/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=0.9] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00156957 [ 0.44 %]\n", + "Velocity : 0.00328654 [ 0.93 %]\n", + "Force : 0.0696723 [ 19.68 %]\n", + "Coefs : 0.0153992 [ 4.35 %]\n", + "Output : 0.00126282 [ 0.36 %]\n", + "Levels : 8.1898e-05 [ 0.02 %]\n", + "Report : 2.27e-07 [ 0.00 %]\n", + "Balance : 1.35e-07 [ 0.00 %]\n", + "Adjust : 0.262768 [ 74.21 %]\n", + "Total : 0.354089 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23286 1388 275 29 11 4 7 \n", + "1 : 23274 1402 271 33 10 6 4 \n", + "2 : 23282 1398 274 25 10 6 5 \n", + "3 : 23259 1427 273 24 10 4 3 \n", + "\n", + "T : 93101 5615 1093 111 41 20 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.2%\n", + "--- Adj/Tot = 0.0%\n", + "--- Update = 1.0544e-02 sec\n", + "--- Collate = 9.3920e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.646997e-04 < 1.562500e-03 [3]\n", + "--- Max DT=3.043469e-01 > 1.000000e-01 [71124]\n", + "----------------------------------------------------------------------\n", + " Component | low: 3/100000\n", + " Component | high: 71124/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1] -------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00139429 [ 0.36 %]\n", + "Velocity : 0.00325195 [ 0.84 %]\n", + "Force : 0.0644523 [ 16.71 %]\n", + "Coefs : 0.0156213 [ 4.05 %]\n", + "Output : 0.0499644 [ 12.96 %]\n", + "Levels : 9.5666e-05 [ 0.02 %]\n", + "Report : 2.97e-07 [ 0.00 %]\n", + "Balance : 2.08e-07 [ 0.00 %]\n", + "Adjust : 0.250829 [ 65.04 %]\n", + "Total : 0.385658 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23285 1386 279 29 8 5 8 \n", + "1 : 23274 1400 275 29 10 7 5 \n", + "2 : 23285 1397 274 23 13 1 7 \n", + "3 : 23259 1427 274 25 8 4 3 \n", + "\n", + "T : 93103 5610 1102 106 39 17 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0530e-02 sec\n", + "--- Collate = 9.1580e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.665283e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.043349e-01 > 1.000000e-01 [71110]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71110/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.1] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00144046 [ 0.39 %]\n", + "Velocity : 0.0038966 [ 1.06 %]\n", + "Force : 0.0635284 [ 17.21 %]\n", + "Coefs : 0.0554169 [ 15.01 %]\n", + "Output : 0.00125983 [ 0.34 %]\n", + "Levels : 8.7322e-05 [ 0.02 %]\n", + "Report : 2.25e-07 [ 0.00 %]\n", + "Balance : 1.1e-07 [ 0.00 %]\n", + "Adjust : 0.243433 [ 65.95 %]\n", + "Total : 0.369109 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23288 1384 277 30 10 5 6 \n", + "1 : 23279 1396 269 34 9 8 5 \n", + "2 : 23290 1391 273 26 12 5 3 \n", + "3 : 23262 1422 277 25 9 3 2 \n", + "\n", + "T : 93119 5593 1096 115 40 21 16 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0534e-02 sec\n", + "--- Collate = 9.3780e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.626772e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.043227e-01 > 1.000000e-01 [71112]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71112/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.2] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00138323 [ 0.40 %]\n", + "Velocity : 0.00336836 [ 0.97 %]\n", + "Force : 0.0682844 [ 19.64 %]\n", + "Coefs : 0.0157458 [ 4.53 %]\n", + "Output : 0.00142785 [ 0.41 %]\n", + "Levels : 8.6787e-05 [ 0.02 %]\n", + "Report : 2.3e-07 [ 0.00 %]\n", + "Balance : 1.2e-07 [ 0.00 %]\n", + "Adjust : 0.257298 [ 74.01 %]\n", + "Total : 0.34764 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23283 1384 280 35 7 4 7 \n", + "1 : 23281 1397 264 31 17 3 7 \n", + "2 : 23288 1392 273 26 12 5 4 \n", + "3 : 23266 1419 278 24 8 1 4 \n", + "\n", + "T : 93118 5592 1095 116 44 13 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0638e-02 sec\n", + "--- Collate = 9.6460e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.552103e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.043100e-01 > 1.000000e-01 [71107]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71107/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.3] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00134152 [ 0.40 %]\n", + "Velocity : 0.00322733 [ 0.97 %]\n", + "Force : 0.0659794 [ 19.78 %]\n", + "Coefs : 0.015394 [ 4.62 %]\n", + "Output : 0.00133235 [ 0.40 %]\n", + "Levels : 8.5585e-05 [ 0.03 %]\n", + "Report : 2.33e-07 [ 0.00 %]\n", + "Balance : 9.7e-08 [ 0.00 %]\n", + "Adjust : 0.246134 [ 73.79 %]\n", + "Total : 0.33354 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23281 1387 280 36 5 5 6 \n", + "1 : 23283 1392 265 35 11 8 6 \n", + "2 : 23291 1389 271 28 11 6 4 \n", + "3 : 23266 1420 274 27 4 7 2 \n", + "\n", + "T : 93121 5588 1090 126 31 26 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0114e-02 sec\n", + "--- Collate = 9.5940e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.051530e-05 < 1.562500e-03 [5]\n", + "--- Max DT=3.042967e-01 > 1.000000e-01 [71095]\n", + "----------------------------------------------------------------------\n", + " Component | low: 5/100000\n", + " Component | high: 71095/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.4] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00133958 [ 0.40 %]\n", + "Velocity : 0.00322622 [ 0.97 %]\n", + "Force : 0.0636812 [ 19.18 %]\n", + "Coefs : 0.0153356 [ 4.62 %]\n", + "Output : 0.00136881 [ 0.41 %]\n", + "Levels : 8.8973e-05 [ 0.03 %]\n", + "Report : 2.02e-07 [ 0.00 %]\n", + "Balance : 1e-07 [ 0.00 %]\n", + "Adjust : 0.247001 [ 74.38 %]\n", + "Total : 0.332089 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23284 1384 284 30 6 7 5 \n", + "1 : 23286 1389 265 35 11 7 7 \n", + "2 : 23291 1388 274 21 15 7 4 \n", + "3 : 23265 1423 270 30 2 8 2 \n", + "\n", + "T : 93126 5584 1093 116 34 29 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0331e-02 sec\n", + "--- Collate = 9.0400e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.489833e-06 < 1.562500e-03 [12]\n", + "--- Max DT=3.042824e-01 > 1.000000e-01 [71095]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71095/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.5] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00136181 [ 0.40 %]\n", + "Velocity : 0.00330179 [ 0.96 %]\n", + "Force : 0.0686528 [ 20.06 %]\n", + "Coefs : 0.0151231 [ 4.42 %]\n", + "Output : 0.00134265 [ 0.39 %]\n", + "Levels : 8.8893e-05 [ 0.03 %]\n", + "Report : 2.15e-07 [ 0.00 %]\n", + "Balance : 1.16e-07 [ 0.00 %]\n", + "Adjust : 0.252285 [ 73.72 %]\n", + "Total : 0.342204 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23281 1386 284 30 10 4 5 \n", + "1 : 23289 1389 264 36 9 6 7 \n", + "2 : 23291 1383 277 26 12 5 6 \n", + "3 : 23265 1423 268 29 7 2 6 \n", + "\n", + "T : 93126 5581 1093 121 38 17 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0012e-02 sec\n", + "--- Collate = 8.7260e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.859141e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.042674e-01 > 1.000000e-01 [71101]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71101/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.6] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0014137 [ 0.43 %]\n", + "Velocity : 0.00337423 [ 1.02 %]\n", + "Force : 0.0655904 [ 19.75 %]\n", + "Coefs : 0.0154656 [ 4.66 %]\n", + "Output : 0.00132937 [ 0.40 %]\n", + "Levels : 8.0927e-05 [ 0.02 %]\n", + "Report : 3.92e-07 [ 0.00 %]\n", + "Balance : 9.3e-08 [ 0.00 %]\n", + "Adjust : 0.244732 [ 73.71 %]\n", + "Total : 0.332033 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23280 1387 283 30 11 6 3 \n", + "1 : 23294 1381 271 31 8 8 7 \n", + "2 : 23293 1383 273 28 13 4 6 \n", + "3 : 23263 1426 269 26 7 4 5 \n", + "\n", + "T : 93130 5577 1096 115 39 22 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1226e-02 sec\n", + "--- Collate = 9.1660e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.038205e-06 < 1.562500e-03 [8]\n", + "--- Max DT=3.042513e-01 > 1.000000e-01 [71104]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71104/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.7] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00148935 [ 0.43 %]\n", + "Velocity : 0.00338263 [ 0.98 %]\n", + "Force : 0.0665399 [ 19.32 %]\n", + "Coefs : 0.0163928 [ 4.76 %]\n", + "Output : 0.0013763 [ 0.40 %]\n", + "Levels : 8.1834e-05 [ 0.02 %]\n", + "Report : 2.32e-07 [ 0.00 %]\n", + "Balance : 9.2e-08 [ 0.00 %]\n", + "Adjust : 0.255058 [ 74.07 %]\n", + "Total : 0.344368 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23280 1388 287 27 11 3 4 \n", + "1 : 23297 1376 275 30 11 5 6 \n", + "2 : 23291 1388 272 22 16 5 6 \n", + "3 : 23266 1427 262 25 10 5 5 \n", + "\n", + "T : 93134 5579 1096 104 48 18 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0301e-02 sec\n", + "--- Collate = 9.0740e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.749142e-04 < 1.562500e-03 [7]\n", + "--- Max DT=3.042344e-01 > 1.000000e-01 [71110]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71110/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.8] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00148964 [ 0.44 %]\n", + "Velocity : 0.00357248 [ 1.06 %]\n", + "Force : 0.065816 [ 19.46 %]\n", + "Coefs : 0.0161365 [ 4.77 %]\n", + "Output : 0.00136926 [ 0.40 %]\n", + "Levels : 9.3402e-05 [ 0.03 %]\n", + "Report : 2.26e-07 [ 0.00 %]\n", + "Balance : 7.4e-08 [ 0.00 %]\n", + "Adjust : 0.249757 [ 73.83 %]\n", + "Total : 0.338281 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23277 1394 287 25 8 4 5 \n", + "1 : 23297 1379 270 33 8 9 4 \n", + "2 : 23286 1392 273 18 19 6 6 \n", + "3 : 23270 1424 265 24 8 5 4 \n", + "\n", + "T : 93130 5589 1095 100 43 24 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0115e-02 sec\n", + "--- Collate = 9.5860e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.713951e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.042169e-01 > 1.000000e-01 [71110]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71110/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.9] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00136359 [ 0.41 %]\n", + "Velocity : 0.00322094 [ 0.96 %]\n", + "Force : 0.0661119 [ 19.80 %]\n", + "Coefs : 0.0153232 [ 4.59 %]\n", + "Output : 0.00135568 [ 0.41 %]\n", + "Levels : 7.7713e-05 [ 0.02 %]\n", + "Report : 1.5e-07 [ 0.00 %]\n", + "Balance : 9.4e-08 [ 0.00 %]\n", + "Adjust : 0.24636 [ 73.79 %]\n", + "Total : 0.333859 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23274 1398 284 26 7 6 5 \n", + "1 : 23299 1375 272 35 12 1 6 \n", + "2 : 23290 1389 271 20 16 9 5 \n", + "3 : 23272 1422 267 22 8 5 4 \n", + "\n", + "T : 93135 5584 1094 103 43 21 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 9.9691e-03 sec\n", + "--- Collate = 8.7820e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.263776e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.041987e-01 > 1.000000e-01 [71110]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71110/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=2] -------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00135671 [ 0.34 %]\n", + "Velocity : 0.00321836 [ 0.82 %]\n", + "Force : 0.0643846 [ 16.31 %]\n", + "Coefs : 0.0151663 [ 3.84 %]\n", + "Output : 0.0638469 [ 16.17 %]\n", + "Levels : 8.6656e-05 [ 0.02 %]\n", + "Report : 2.12e-07 [ 0.00 %]\n", + "Balance : 1.42e-07 [ 0.00 %]\n", + "Adjust : 0.246764 [ 62.49 %]\n", + "Total : 0.394872 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23270 1402 283 28 6 7 4 \n", + "1 : 23297 1377 275 32 9 5 5 \n", + "2 : 23293 1386 273 24 11 5 8 \n", + "3 : 23274 1421 264 25 7 4 5 \n", + "\n", + "T : 93134 5586 1095 109 33 21 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0458e-02 sec\n", + "--- Collate = 9.6610e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.976450e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.041800e-01 > 1.000000e-01 [71115]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71115/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=2.1] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00160079 [ 0.43 %]\n", + "Velocity : 0.00355581 [ 0.96 %]\n", + "Force : 0.0800221 [ 21.67 %]\n", + "Coefs : 0.0382871 [ 10.37 %]\n", + "Output : 0.00134419 [ 0.36 %]\n", + "Levels : 9.5223e-05 [ 0.03 %]\n", + "Report : 1.54e-07 [ 0.00 %]\n", + "Balance : 1.08e-07 [ 0.00 %]\n", + "Adjust : 0.244389 [ 66.17 %]\n", + "Total : 0.36934 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23271 1402 283 28 5 5 6 \n", + "1 : 23302 1375 276 32 2 6 7 \n", + "2 : 23292 1384 275 27 10 5 7 \n", + "3 : 23271 1423 263 27 9 3 4 \n", + "\n", + "T : 93136 5584 1097 114 26 19 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 9.9843e-03 sec\n", + "--- Collate = 9.0480e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.663664e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.041607e-01 > 1.000000e-01 [71123]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71123/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=2.2] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00141719 [ 0.43 %]\n", + "Velocity : 0.00328028 [ 0.99 %]\n", + "Force : 0.0639752 [ 19.28 %]\n", + "Coefs : 0.01548 [ 4.66 %]\n", + "Output : 0.00138758 [ 0.42 %]\n", + "Levels : 9.0172e-05 [ 0.03 %]\n", + "Report : 1.61e-07 [ 0.00 %]\n", + "Balance : 1.18e-07 [ 0.00 %]\n", + "Adjust : 0.246159 [ 74.18 %]\n", + "Total : 0.331836 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23269 1408 277 32 6 2 6 \n", + "1 : 23302 1374 275 33 4 5 7 \n", + "2 : 23288 1390 273 26 13 4 6 \n", + "3 : 23272 1420 267 23 10 4 4 \n", + "\n", + "T : 93131 5592 1092 114 33 15 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0462e-02 sec\n", + "--- Collate = 9.4490e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.008064e-04 < 1.562500e-03 [4]\n", + "--- Max DT=3.041407e-01 > 1.000000e-01 [71115]\n", + "----------------------------------------------------------------------\n", + " Component | low: 4/100000\n", + " Component | high: 71115/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=2.3] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00140366 [ 0.39 %]\n", + "Velocity : 0.00336797 [ 0.95 %]\n", + "Force : 0.0707485 [ 19.89 %]\n", + "Coefs : 0.0152915 [ 4.30 %]\n", + "Output : 0.00142448 [ 0.40 %]\n", + "Levels : 8.4696e-05 [ 0.02 %]\n", + "Report : 4.6e-07 [ 0.00 %]\n", + "Balance : 8.5e-08 [ 0.00 %]\n", + "Adjust : 0.263282 [ 74.03 %]\n", + "Total : 0.35565 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23269 1409 277 31 7 3 4 \n", + "1 : 23297 1376 276 34 4 9 4 \n", + "2 : 23291 1388 271 28 13 7 2 \n", + "3 : 23272 1420 266 23 10 5 4 \n", + "\n", + "T : 93129 5593 1090 116 34 24 14 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0532e-02 sec\n", + "--- Collate = 8.7000e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.832663e-05 < 1.562500e-03 [6]\n", + "--- Max DT=3.041201e-01 > 1.000000e-01 [71133]\n", + "----------------------------------------------------------------------\n", + " Component | low: 6/100000\n", + " Component | high: 71133/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=2.4] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00134497 [ 0.39 %]\n", + "Velocity : 0.00319041 [ 0.92 %]\n", + "Force : 0.0654662 [ 18.93 %]\n", + "Coefs : 0.0154424 [ 4.47 %]\n", + "Output : 0.00143703 [ 0.42 %]\n", + "Levels : 8.8364e-05 [ 0.03 %]\n", + "Report : 1.97e-07 [ 0.00 %]\n", + "Balance : 7.9e-08 [ 0.00 %]\n", + "Adjust : 0.258775 [ 74.84 %]\n", + "Total : 0.345791 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23270 1407 278 30 9 4 2 \n", + "1 : 23294 1377 279 32 7 8 3 \n", + "2 : 23289 1391 272 29 16 2 1 \n", + "3 : 23272 1420 268 20 10 8 2 \n", + "\n", + "T : 93125 5595 1097 111 42 22 8 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0499e-02 sec\n", + "--- Collate = 9.1950e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.716857e-04 < 1.562500e-03 [3]\n", + "--- Max DT=3.040989e-01 > 1.000000e-01 [71133]\n", + "----------------------------------------------------------------------\n", + " Component | low: 3/100000\n", + " Component | high: 71133/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=2.5] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00139069 [ 0.41 %]\n", + "Velocity : 0.00327387 [ 0.98 %]\n", + "Force : 0.066476 [ 19.81 %]\n", + "Coefs : 0.0152627 [ 4.55 %]\n", + "Output : 0.00134441 [ 0.40 %]\n", + "Levels : 9.5548e-05 [ 0.03 %]\n", + "Report : 1.54e-07 [ 0.00 %]\n", + "Balance : 1.22e-07 [ 0.00 %]\n", + "Adjust : 0.247614 [ 73.80 %]\n", + "Total : 0.335503 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23266 1413 275 32 11 2 1 \n", + "1 : 23294 1377 278 33 10 6 2 \n", + "2 : 23289 1394 268 31 16 0 2 \n", + "3 : 23271 1418 270 23 10 5 3 \n", + "\n", + "T : 93120 5602 1091 119 47 13 8 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0368e-02 sec\n", + "--- Collate = 1.3638e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.019819e-05 < 1.562500e-03 [6]\n", + "--- Max DT=3.040771e-01 > 1.000000e-01 [71134]\n", + "----------------------------------------------------------------------\n", + " Component | low: 6/100000\n", + " Component | high: 71134/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=2.6] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00137719 [ 0.41 %]\n", + "Velocity : 0.00323974 [ 0.98 %]\n", + "Force : 0.0633672 [ 19.09 %]\n", + "Coefs : 0.015457 [ 4.66 %]\n", + "Output : 0.00134562 [ 0.41 %]\n", + "Levels : 8.8985e-05 [ 0.03 %]\n", + "Report : 1.57e-07 [ 0.00 %]\n", + "Balance : 1.19e-07 [ 0.00 %]\n", + "Adjust : 0.247049 [ 74.42 %]\n", + "Total : 0.331971 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23264 1415 275 31 10 3 2 \n", + "1 : 23294 1377 274 36 9 6 4 \n", + "2 : 23290 1391 270 36 8 4 1 \n", + "3 : 23270 1418 271 21 9 6 5 \n", + "\n", + "T : 93118 5601 1090 124 36 19 12 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0481e-02 sec\n", + "--- Collate = 9.6980e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.422158e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.040547e-01 > 1.000000e-01 [71130]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71130/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=2.7] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00143768 [ 0.43 %]\n", + "Velocity : 0.00340317 [ 1.01 %]\n", + "Force : 0.0672694 [ 19.98 %]\n", + "Coefs : 0.015268 [ 4.53 %]\n", + "Output : 0.00135364 [ 0.40 %]\n", + "Levels : 8.2148e-05 [ 0.02 %]\n", + "Report : 1.56e-07 [ 0.00 %]\n", + "Balance : 1.31e-07 [ 0.00 %]\n", + "Adjust : 0.247901 [ 73.61 %]\n", + "Total : 0.33676 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23258 1421 275 32 5 5 4 \n", + "1 : 23297 1372 279 32 12 3 5 \n", + "2 : 23291 1389 271 33 10 4 2 \n", + "3 : 23267 1421 266 29 5 5 7 \n", + "\n", + "T : 93113 5603 1091 126 32 17 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0115e-02 sec\n", + "--- Collate = 9.2640e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.360712e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.040319e-01 > 1.000000e-01 [71120]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71120/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=2.8] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00137204 [ 0.41 %]\n", + "Velocity : 0.00318726 [ 0.96 %]\n", + "Force : 0.0652254 [ 19.66 %]\n", + "Coefs : 0.0152488 [ 4.60 %]\n", + "Output : 0.00130246 [ 0.39 %]\n", + "Levels : 8.3152e-05 [ 0.03 %]\n", + "Report : 1.49e-07 [ 0.00 %]\n", + "Balance : 9.1e-08 [ 0.00 %]\n", + "Adjust : 0.245363 [ 73.94 %]\n", + "Total : 0.331827 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23261 1418 273 31 8 4 5 \n", + "1 : 23297 1373 280 31 8 7 4 \n", + "2 : 23292 1385 269 38 9 3 4 \n", + "3 : 23270 1420 267 27 3 7 6 \n", + "\n", + "T : 93120 5596 1089 127 28 21 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.5093e-02 sec\n", + "--- Collate = 1.3743e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.033714e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.040086e-01 > 1.000000e-01 [71106]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71106/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=2.9] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00138699 [ 0.41 %]\n", + "Velocity : 0.00369452 [ 1.08 %]\n", + "Force : 0.063455 [ 18.61 %]\n", + "Coefs : 0.0172738 [ 5.07 %]\n", + "Output : 0.00136953 [ 0.40 %]\n", + "Levels : 0.000114912 [ 0.03 %]\n", + "Report : 1.78e-07 [ 0.00 %]\n", + "Balance : 1.52e-07 [ 0.00 %]\n", + "Adjust : 0.253602 [ 74.38 %]\n", + "Total : 0.340944 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23263 1414 272 35 7 4 5 \n", + "1 : 23297 1370 287 29 7 5 5 \n", + "2 : 23291 1387 269 35 11 2 5 \n", + "3 : 23271 1419 268 26 5 7 4 \n", + "\n", + "T : 93122 5590 1096 125 30 18 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0506e-02 sec\n", + "--- Collate = 9.8170e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.910710e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.039849e-01 > 1.000000e-01 [71097]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71097/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=3] -------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00151089 [ 0.37 %]\n", + "Velocity : 0.00366475 [ 0.89 %]\n", + "Force : 0.0663329 [ 16.15 %]\n", + "Coefs : 0.0149949 [ 3.65 %]\n", + "Output : 0.0732334 [ 17.83 %]\n", + "Levels : 8.2488e-05 [ 0.02 %]\n", + "Report : 3.09e-07 [ 0.00 %]\n", + "Balance : 1.93e-07 [ 0.00 %]\n", + "Adjust : 0.250914 [ 61.08 %]\n", + "Total : 0.410782 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23265 1409 276 33 7 4 6 \n", + "1 : 23298 1367 289 30 5 6 5 \n", + "2 : 23295 1385 267 31 13 3 6 \n", + "3 : 23276 1415 267 24 10 5 3 \n", + "\n", + "T : 93134 5576 1099 118 35 18 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0521e-02 sec\n", + "--- Collate = 9.2230e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.532116e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.039696e-01 > 1.000000e-01 [71095]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71095/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=3.1] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00146546 [ 0.40 %]\n", + "Velocity : 0.00402035 [ 1.09 %]\n", + "Force : 0.0781171 [ 21.23 %]\n", + "Coefs : 0.0370099 [ 10.06 %]\n", + "Output : 0.00135478 [ 0.37 %]\n", + "Levels : 8.6588e-05 [ 0.02 %]\n", + "Report : 2.27e-07 [ 0.00 %]\n", + "Balance : 1.07e-07 [ 0.00 %]\n", + "Adjust : 0.245844 [ 66.82 %]\n", + "Total : 0.367943 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23264 1409 280 31 6 6 4 \n", + "1 : 23299 1367 288 29 9 1 7 \n", + "2 : 23298 1379 271 28 12 9 3 \n", + "3 : 23271 1422 266 21 14 3 3 \n", + "\n", + "T : 93132 5577 1105 109 41 19 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0139e-02 sec\n", + "--- Collate = 9.1970e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.211605e-04 < 1.562500e-03 [10]\n", + "--- Max DT=3.039770e-01 > 1.000000e-01 [71096]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71096/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=3.2] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00138765 [ 0.42 %]\n", + "Velocity : 0.0033554 [ 1.01 %]\n", + "Force : 0.0639288 [ 19.27 %]\n", + "Coefs : 0.0166637 [ 5.02 %]\n", + "Output : 0.0013007 [ 0.39 %]\n", + "Levels : 9.6181e-05 [ 0.03 %]\n", + "Report : 2.22e-07 [ 0.00 %]\n", + "Balance : 1.39e-07 [ 0.00 %]\n", + "Adjust : 0.245009 [ 73.85 %]\n", + "Total : 0.331787 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23262 1412 279 29 9 5 4 \n", + "1 : 23304 1362 293 25 6 5 5 \n", + "2 : 23304 1378 265 28 11 9 5 \n", + "3 : 23271 1423 262 24 13 4 3 \n", + "\n", + "T : 93141 5575 1099 106 39 23 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0139e-02 sec\n", + "--- Collate = 9.6130e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.288092e-06 < 1.562500e-03 [12]\n", + "--- Max DT=3.040124e-01 > 1.000000e-01 [71094]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71094/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=3.3] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00149987 [ 0.45 %]\n", + "Velocity : 0.0033642 [ 1.01 %]\n", + "Force : 0.0668362 [ 20.07 %]\n", + "Coefs : 0.0151081 [ 4.54 %]\n", + "Output : 0.00130171 [ 0.39 %]\n", + "Levels : 8.6036e-05 [ 0.03 %]\n", + "Report : 2.36e-07 [ 0.00 %]\n", + "Balance : 1.62e-07 [ 0.00 %]\n", + "Adjust : 0.244735 [ 73.50 %]\n", + "Total : 0.332977 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23263 1413 275 31 12 2 4 \n", + "1 : 23309 1352 297 26 7 3 6 \n", + "2 : 23300 1384 266 25 12 7 6 \n", + "3 : 23272 1419 266 27 9 4 3 \n", + "\n", + "T : 93144 5568 1104 109 40 16 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0150e-02 sec\n", + "--- Collate = 9.2540e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.488056e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.040446e-01 > 1.000000e-01 [71092]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71092/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=3.4] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00152473 [ 0.46 %]\n", + "Velocity : 0.00334662 [ 1.00 %]\n", + "Force : 0.064048 [ 19.23 %]\n", + "Coefs : 0.016083 [ 4.83 %]\n", + "Output : 0.00133 [ 0.40 %]\n", + "Levels : 8.0907e-05 [ 0.02 %]\n", + "Report : 5.48e-07 [ 0.00 %]\n", + "Balance : 8.6e-08 [ 0.00 %]\n", + "Adjust : 0.246566 [ 74.04 %]\n", + "Total : 0.333026 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23263 1412 275 32 10 4 4 \n", + "1 : 23307 1357 293 27 9 2 5 \n", + "2 : 23300 1385 264 26 14 2 9 \n", + "3 : 23273 1418 268 26 8 4 3 \n", + "\n", + "T : 93143 5572 1100 111 41 12 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0398e-02 sec\n", + "--- Collate = 9.2850e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.430195e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.040733e-01 > 1.000000e-01 [71092]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71092/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=3.5] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00135115 [ 0.41 %]\n", + "Velocity : 0.00321473 [ 0.97 %]\n", + "Force : 0.0659467 [ 19.89 %]\n", + "Coefs : 0.0149484 [ 4.51 %]\n", + "Output : 0.00129784 [ 0.39 %]\n", + "Levels : 8.4703e-05 [ 0.03 %]\n", + "Report : 2.13e-07 [ 0.00 %]\n", + "Balance : 7.1e-08 [ 0.00 %]\n", + "Adjust : 0.244735 [ 73.80 %]\n", + "Total : 0.331624 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23263 1413 278 29 9 6 2 \n", + "1 : 23306 1358 296 24 9 3 4 \n", + "2 : 23304 1383 261 27 13 5 7 \n", + "3 : 23273 1418 269 24 9 3 4 \n", + "\n", + "T : 93146 5572 1104 104 40 17 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0457e-02 sec\n", + "--- Collate = 9.6130e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.073938e-04 < 1.562500e-03 [6]\n", + "--- Max DT=3.040986e-01 > 1.000000e-01 [71080]\n", + "----------------------------------------------------------------------\n", + " Component | low: 6/100000\n", + " Component | high: 71080/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=3.6] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00133804 [ 0.37 %]\n", + "Velocity : 0.00331033 [ 0.93 %]\n", + "Force : 0.0721562 [ 20.17 %]\n", + "Coefs : 0.0150849 [ 4.22 %]\n", + "Output : 0.00140567 [ 0.39 %]\n", + "Levels : 9.0069e-05 [ 0.03 %]\n", + "Report : 2.12e-07 [ 0.00 %]\n", + "Balance : 8.9e-08 [ 0.00 %]\n", + "Adjust : 0.264369 [ 73.89 %]\n", + "Total : 0.357803 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23263 1411 281 28 10 4 3 \n", + "1 : 23308 1357 294 24 12 4 1 \n", + "2 : 23304 1381 263 28 13 6 5 \n", + "3 : 23271 1420 271 21 10 4 3 \n", + "\n", + "T : 93146 5569 1109 101 45 18 12 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0320e-02 sec\n", + "--- Collate = 9.7820e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.277154e-05 < 1.562500e-03 [3]\n", + "--- Max DT=3.041206e-01 > 1.000000e-01 [71084]\n", + "----------------------------------------------------------------------\n", + " Component | low: 3/100000\n", + " Component | high: 71084/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=3.7] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00140624 [ 0.42 %]\n", + "Velocity : 0.00333005 [ 1.00 %]\n", + "Force : 0.0645035 [ 19.36 %]\n", + "Coefs : 0.0153895 [ 4.62 %]\n", + "Output : 0.00130233 [ 0.39 %]\n", + "Levels : 8.2758e-05 [ 0.02 %]\n", + "Report : 2.16e-07 [ 0.00 %]\n", + "Balance : 8.5e-08 [ 0.00 %]\n", + "Adjust : 0.247068 [ 74.17 %]\n", + "Total : 0.333128 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23264 1407 283 31 8 3 4 \n", + "1 : 23305 1362 288 32 8 4 1 \n", + "2 : 23308 1376 260 33 9 11 3 \n", + "3 : 23268 1423 269 22 8 6 4 \n", + "\n", + "T : 93145 5568 1100 118 33 24 12 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0568e-02 sec\n", + "--- Collate = 9.3730e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.415331e-04 < 1.562500e-03 [5]\n", + "--- Max DT=3.041395e-01 > 1.000000e-01 [71099]\n", + "----------------------------------------------------------------------\n", + " Component | low: 5/100000\n", + " Component | high: 71099/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=3.8] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00144193 [ 0.40 %]\n", + "Velocity : 0.0035084 [ 0.98 %]\n", + "Force : 0.0671461 [ 18.81 %]\n", + "Coefs : 0.0164213 [ 4.60 %]\n", + "Output : 0.001358 [ 0.38 %]\n", + "Levels : 8.9346e-05 [ 0.03 %]\n", + "Report : 2.09e-07 [ 0.00 %]\n", + "Balance : 1.3e-07 [ 0.00 %]\n", + "Adjust : 0.26704 [ 74.79 %]\n", + "Total : 0.357053 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23268 1402 287 28 6 5 4 \n", + "1 : 23304 1366 283 34 6 6 1 \n", + "2 : 23309 1373 266 27 12 10 3 \n", + "3 : 23267 1424 267 22 11 4 5 \n", + "\n", + "T : 93148 5565 1103 111 35 25 13 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0434e-02 sec\n", + "--- Collate = 8.7290e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.099217e-04 < 1.562500e-03 [11]\n", + "--- Max DT=3.041553e-01 > 1.000000e-01 [71100]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71100/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=3.9] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00140651 [ 0.42 %]\n", + "Velocity : 0.003282 [ 0.98 %]\n", + "Force : 0.0648457 [ 19.27 %]\n", + "Coefs : 0.0179979 [ 5.35 %]\n", + "Output : 0.0013445 [ 0.40 %]\n", + "Levels : 9.0205e-05 [ 0.03 %]\n", + "Report : 2.24e-07 [ 0.00 %]\n", + "Balance : 7.6e-08 [ 0.00 %]\n", + "Adjust : 0.247431 [ 73.54 %]\n", + "Total : 0.336446 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23270 1397 287 26 10 7 3 \n", + "1 : 23305 1368 279 35 7 3 3 \n", + "2 : 23313 1368 268 26 14 7 4 \n", + "3 : 23270 1418 267 26 10 3 6 \n", + "\n", + "T : 93158 5551 1101 113 41 20 16 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0563e-02 sec\n", + "--- Collate = 9.3680e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.701425e-04 < 1.562500e-03 [12]\n", + "--- Max DT=3.041680e-01 > 1.000000e-01 [71113]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71113/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=4] -------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0013582 [ 0.34 %]\n", + "Velocity : 0.00327194 [ 0.82 %]\n", + "Force : 0.0668503 [ 16.66 %]\n", + "Coefs : 0.0153251 [ 3.82 %]\n", + "Output : 0.0689424 [ 17.18 %]\n", + "Levels : 8.5415e-05 [ 0.02 %]\n", + "Report : 3.05e-07 [ 0.00 %]\n", + "Balance : 2.18e-07 [ 0.00 %]\n", + "Adjust : 0.245481 [ 61.16 %]\n", + "Total : 0.401361 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23272 1395 286 26 13 3 5 \n", + "1 : 23307 1370 275 35 7 1 5 \n", + "2 : 23304 1374 272 27 11 6 6 \n", + "3 : 23266 1424 268 25 6 5 6 \n", + "\n", + "T : 93149 5563 1101 113 37 15 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0108e-02 sec\n", + "--- Collate = 9.5200e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.049325e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.041777e-01 > 1.000000e-01 [71120]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71120/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=4.1] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00152704 [ 0.41 %]\n", + "Velocity : 0.00401547 [ 1.08 %]\n", + "Force : 0.0786632 [ 21.07 %]\n", + "Coefs : 0.0411025 [ 11.01 %]\n", + "Output : 0.0013468 [ 0.36 %]\n", + "Levels : 7.8251e-05 [ 0.02 %]\n", + "Report : 2.41e-07 [ 0.00 %]\n", + "Balance : 1.99e-07 [ 0.00 %]\n", + "Adjust : 0.246491 [ 66.04 %]\n", + "Total : 0.37327 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23273 1394 288 23 14 4 4 \n", + "1 : 23309 1367 275 35 6 3 5 \n", + "2 : 23303 1376 269 27 10 9 6 \n", + "3 : 23266 1425 268 26 3 4 8 \n", + "\n", + "T : 93151 5562 1100 111 33 20 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0594e-02 sec\n", + "--- Collate = 9.1400e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.495124e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.041843e-01 > 1.000000e-01 [71120]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71120/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=4.2] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00147887 [ 0.44 %]\n", + "Velocity : 0.00352377 [ 1.05 %]\n", + "Force : 0.0669532 [ 19.93 %]\n", + "Coefs : 0.0152843 [ 4.55 %]\n", + "Output : 0.00134133 [ 0.40 %]\n", + "Levels : 8.35e-05 [ 0.02 %]\n", + "Report : 2.23e-07 [ 0.00 %]\n", + "Balance : 8.7e-08 [ 0.00 %]\n", + "Adjust : 0.247287 [ 73.60 %]\n", + "Total : 0.335999 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23275 1397 281 26 8 6 7 \n", + "1 : 23308 1365 276 37 7 1 6 \n", + "2 : 23303 1376 266 30 10 10 5 \n", + "3 : 23263 1427 266 27 6 5 6 \n", + "\n", + "T : 93149 5565 1089 120 31 22 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0500e-02 sec\n", + "--- Collate = 1.0411e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.403705e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.041880e-01 > 1.000000e-01 [71107]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71107/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=4.3] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00139746 [ 0.41 %]\n", + "Velocity : 0.0033567 [ 0.99 %]\n", + "Force : 0.0663722 [ 19.64 %]\n", + "Coefs : 0.0155452 [ 4.60 %]\n", + "Output : 0.00129858 [ 0.38 %]\n", + "Levels : 8.9723e-05 [ 0.03 %]\n", + "Report : 2.39e-07 [ 0.00 %]\n", + "Balance : 1.06e-07 [ 0.00 %]\n", + "Adjust : 0.249868 [ 73.93 %]\n", + "Total : 0.337976 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23275 1399 274 32 7 6 7 \n", + "1 : 23312 1360 279 33 8 6 2 \n", + "2 : 23302 1376 268 30 9 8 7 \n", + "3 : 23259 1431 267 25 7 8 3 \n", + "\n", + "T : 93148 5566 1088 120 31 28 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0254e-02 sec\n", + "--- Collate = 9.2730e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.427780e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.041888e-01 > 1.000000e-01 [71103]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71103/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=4.4] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00138662 [ 0.41 %]\n", + "Velocity : 0.00338332 [ 0.99 %]\n", + "Force : 0.0652805 [ 19.16 %]\n", + "Coefs : 0.0182047 [ 5.34 %]\n", + "Output : 0.00132157 [ 0.39 %]\n", + "Levels : 9.3499e-05 [ 0.03 %]\n", + "Report : 2.18e-07 [ 0.00 %]\n", + "Balance : 1.19e-07 [ 0.00 %]\n", + "Adjust : 0.250953 [ 73.66 %]\n", + "Total : 0.340671 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23279 1396 272 29 9 6 9 \n", + "1 : 23306 1368 279 31 9 4 3 \n", + "2 : 23301 1378 267 30 10 7 7 \n", + "3 : 23265 1426 266 28 7 5 3 \n", + "\n", + "T : 93151 5568 1084 118 35 22 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 9.9918e-03 sec\n", + "--- Collate = 9.5180e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.132733e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.041862e-01 > 1.000000e-01 [71084]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71084/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=4.5] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00139731 [ 0.42 %]\n", + "Velocity : 0.00334141 [ 1.00 %]\n", + "Force : 0.0667606 [ 20.05 %]\n", + "Coefs : 0.015632 [ 4.69 %]\n", + "Output : 0.00128955 [ 0.39 %]\n", + "Levels : 7.8935e-05 [ 0.02 %]\n", + "Report : 1.95e-07 [ 0.00 %]\n", + "Balance : 1.17e-07 [ 0.00 %]\n", + "Adjust : 0.244414 [ 73.41 %]\n", + "Total : 0.332963 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23282 1390 273 33 6 7 9 \n", + "1 : 23309 1365 279 30 8 4 5 \n", + "2 : 23301 1380 265 30 13 7 4 \n", + "3 : 23259 1434 264 30 6 4 3 \n", + "\n", + "T : 93151 5569 1081 123 33 22 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0566e-02 sec\n", + "--- Collate = 1.0168e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.315504e-07 < 1.562500e-03 [11]\n", + "--- Max DT=3.041807e-01 > 1.000000e-01 [71076]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71076/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=4.6] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00134083 [ 0.39 %]\n", + "Velocity : 0.00326824 [ 0.95 %]\n", + "Force : 0.0660039 [ 19.16 %]\n", + "Coefs : 0.0150952 [ 4.38 %]\n", + "Output : 0.00139047 [ 0.40 %]\n", + "Levels : 8.2047e-05 [ 0.02 %]\n", + "Report : 2.33e-07 [ 0.00 %]\n", + "Balance : 9.8e-08 [ 0.00 %]\n", + "Adjust : 0.257329 [ 74.68 %]\n", + "Total : 0.344558 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23280 1393 273 31 6 10 7 \n", + "1 : 23306 1371 278 24 11 4 6 \n", + "2 : 23292 1387 269 27 15 7 3 \n", + "3 : 23266 1424 266 24 13 2 5 \n", + "\n", + "T : 93144 5575 1086 106 45 23 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0401e-02 sec\n", + "--- Collate = 1.0207e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.373160e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.041719e-01 > 1.000000e-01 [71073]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71073/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=4.7] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00136122 [ 0.39 %]\n", + "Velocity : 0.00339649 [ 0.97 %]\n", + "Force : 0.0657637 [ 18.84 %]\n", + "Coefs : 0.0156379 [ 4.48 %]\n", + "Output : 0.00140768 [ 0.40 %]\n", + "Levels : 0.000100448 [ 0.03 %]\n", + "Report : 2.38e-07 [ 0.00 %]\n", + "Balance : 8.4e-08 [ 0.00 %]\n", + "Adjust : 0.261346 [ 74.87 %]\n", + "Total : 0.349062 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23282 1390 276 30 11 3 8 \n", + "1 : 23310 1364 283 22 8 3 10 \n", + "2 : 23291 1390 267 31 13 3 5 \n", + "3 : 23266 1426 265 22 11 6 4 \n", + "\n", + "T : 93149 5570 1091 105 43 15 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0423e-02 sec\n", + "--- Collate = 9.2430e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.026780e-06 < 1.562500e-03 [18]\n", + "--- Max DT=3.041600e-01 > 1.000000e-01 [71070]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 71070/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=4.8] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00143529 [ 0.43 %]\n", + "Velocity : 0.00328643 [ 0.98 %]\n", + "Force : 0.0642496 [ 19.15 %]\n", + "Coefs : 0.0193035 [ 5.75 %]\n", + "Output : 0.00131644 [ 0.39 %]\n", + "Levels : 8.6144e-05 [ 0.03 %]\n", + "Report : 2.2e-07 [ 0.00 %]\n", + "Balance : 1.12e-07 [ 0.00 %]\n", + "Adjust : 0.245715 [ 73.25 %]\n", + "Total : 0.335442 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23281 1393 272 32 12 4 6 \n", + "1 : 23311 1360 286 21 7 8 7 \n", + "2 : 23289 1392 273 22 17 2 5 \n", + "3 : 23269 1419 269 21 12 4 6 \n", + "\n", + "T : 93150 5564 1100 96 48 18 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0131e-02 sec\n", + "--- Collate = 9.1620e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.473624e-04 < 1.562500e-03 [10]\n", + "--- Max DT=3.041449e-01 > 1.000000e-01 [71075]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71075/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=4.9] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00146932 [ 0.44 %]\n", + "Velocity : 0.00345864 [ 1.03 %]\n", + "Force : 0.0675133 [ 20.15 %]\n", + "Coefs : 0.0157617 [ 4.70 %]\n", + "Output : 0.00134277 [ 0.40 %]\n", + "Levels : 8.1151e-05 [ 0.02 %]\n", + "Report : 2.21e-07 [ 0.00 %]\n", + "Balance : 8.1e-08 [ 0.00 %]\n", + "Adjust : 0.24537 [ 73.24 %]\n", + "Total : 0.335041 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23284 1390 268 36 8 8 6 \n", + "1 : 23312 1362 278 27 7 6 8 \n", + "2 : 23289 1391 272 27 13 2 6 \n", + "3 : 23276 1409 272 22 9 6 6 \n", + "\n", + "T : 93161 5552 1090 112 37 22 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0249e-02 sec\n", + "--- Collate = 9.4770e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.086255e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.041267e-01 > 1.000000e-01 [71079]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71079/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=5] -------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00135971 [ 0.31 %]\n", + "Velocity : 0.0031784 [ 0.73 %]\n", + "Force : 0.0641396 [ 14.71 %]\n", + "Coefs : 0.0150716 [ 3.46 %]\n", + "Output : 0.0996446 [ 22.85 %]\n", + "Levels : 0.000103342 [ 0.02 %]\n", + "Report : 5e-07 [ 0.00 %]\n", + "Balance : 2.28e-07 [ 0.00 %]\n", + "Adjust : 0.252606 [ 57.92 %]\n", + "Total : 0.436152 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23283 1389 275 33 8 7 5 \n", + "1 : 23312 1358 281 27 10 6 6 \n", + "2 : 23292 1383 272 31 13 4 5 \n", + "3 : 23279 1406 272 22 8 6 7 \n", + "\n", + "T : 93166 5536 1100 113 39 23 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0162e-02 sec\n", + "--- Collate = 9.5560e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.638153e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.041053e-01 > 1.000000e-01 [71071]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71071/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=5.1] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00185694 [ 0.52 %]\n", + "Velocity : 0.00420812 [ 1.18 %]\n", + "Force : 0.0775103 [ 21.74 %]\n", + "Coefs : 0.0260096 [ 7.29 %]\n", + "Output : 0.00135445 [ 0.38 %]\n", + "Levels : 8.117e-05 [ 0.02 %]\n", + "Report : 2.25e-07 [ 0.00 %]\n", + "Balance : 7.5e-08 [ 0.00 %]\n", + "Adjust : 0.245496 [ 68.85 %]\n", + "Total : 0.356565 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23282 1393 274 33 9 3 6 \n", + "1 : 23314 1351 283 28 13 6 5 \n", + "2 : 23294 1378 281 28 7 7 5 \n", + "3 : 23280 1404 275 20 6 9 6 \n", + "\n", + "T : 93170 5526 1113 109 35 25 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0570e-02 sec\n", + "--- Collate = 9.4070e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.325701e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.040856e-01 > 1.000000e-01 [71074]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71074/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=5.2] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00144277 [ 0.41 %]\n", + "Velocity : 0.00331658 [ 0.93 %]\n", + "Force : 0.0693491 [ 19.51 %]\n", + "Coefs : 0.0182128 [ 5.12 %]\n", + "Output : 0.00126968 [ 0.36 %]\n", + "Levels : 8.5836e-05 [ 0.02 %]\n", + "Report : 2.24e-07 [ 0.00 %]\n", + "Balance : 1.2e-07 [ 0.00 %]\n", + "Adjust : 0.261771 [ 73.64 %]\n", + "Total : 0.355496 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23286 1389 273 33 12 4 3 \n", + "1 : 23313 1353 283 30 9 7 5 \n", + "2 : 23295 1376 283 23 13 4 6 \n", + "3 : 23283 1399 277 19 7 6 9 \n", + "\n", + "T : 93177 5517 1116 105 41 21 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0240e-02 sec\n", + "--- Collate = 9.5270e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.129907e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.040973e-01 > 1.000000e-01 [71074]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71074/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=5.3] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00138632 [ 0.41 %]\n", + "Velocity : 0.00332509 [ 0.99 %]\n", + "Force : 0.0643128 [ 19.07 %]\n", + "Coefs : 0.0204478 [ 6.06 %]\n", + "Output : 0.00128855 [ 0.38 %]\n", + "Levels : 8.2833e-05 [ 0.02 %]\n", + "Report : 2.14e-07 [ 0.00 %]\n", + "Balance : 8.7e-08 [ 0.00 %]\n", + "Adjust : 0.246331 [ 73.05 %]\n", + "Total : 0.337223 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23288 1389 272 33 10 6 2 \n", + "1 : 23317 1351 280 32 8 8 4 \n", + "2 : 23292 1380 281 24 11 6 6 \n", + "3 : 23280 1405 273 19 9 7 7 \n", + "\n", + "T : 93177 5525 1106 108 38 27 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0552e-02 sec\n", + "--- Collate = 1.0308e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.323832e-04 < 1.562500e-03 [11]\n", + "--- Max DT=3.041084e-01 > 1.000000e-01 [71070]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71070/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=5.4] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00146166 [ 0.43 %]\n", + "Velocity : 0.00327845 [ 0.97 %]\n", + "Force : 0.0674127 [ 20.02 %]\n", + "Coefs : 0.0152544 [ 4.53 %]\n", + "Output : 0.00132158 [ 0.39 %]\n", + "Levels : 9.0395e-05 [ 0.03 %]\n", + "Report : 2.31e-07 [ 0.00 %]\n", + "Balance : 1.42e-07 [ 0.00 %]\n", + "Adjust : 0.247932 [ 73.61 %]\n", + "Total : 0.336799 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23285 1387 275 37 9 6 1 \n", + "1 : 23317 1351 278 34 9 5 6 \n", + "2 : 23286 1391 275 27 11 4 6 \n", + "3 : 23277 1407 277 17 8 6 8 \n", + "\n", + "T : 93165 5536 1105 115 37 21 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1819e-02 sec\n", + "--- Collate = 9.3370e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.568682e-04 < 1.562500e-03 [12]\n", + "--- Max DT=3.041187e-01 > 1.000000e-01 [71081]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71081/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=5.5] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00140526 [ 0.42 %]\n", + "Velocity : 0.00331758 [ 0.99 %]\n", + "Force : 0.0643734 [ 19.14 %]\n", + "Coefs : 0.0155685 [ 4.63 %]\n", + "Output : 0.00131921 [ 0.39 %]\n", + "Levels : 0.000103859 [ 0.03 %]\n", + "Report : 2.35e-07 [ 0.00 %]\n", + "Balance : 8e-08 [ 0.00 %]\n", + "Adjust : 0.250225 [ 74.39 %]\n", + "Total : 0.33636 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23284 1390 274 38 8 4 2 \n", + "1 : 23315 1352 279 35 10 2 7 \n", + "2 : 23292 1383 276 29 10 5 5 \n", + "3 : 23282 1403 278 16 8 7 6 \n", + "\n", + "T : 93173 5528 1107 118 36 18 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0177e-02 sec\n", + "--- Collate = 9.7010e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.312482e-04 < 1.562500e-03 [7]\n", + "--- Max DT=3.041283e-01 > 1.000000e-01 [71074]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71074/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=5.6] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00179947 [ 0.54 %]\n", + "Velocity : 0.00381344 [ 1.14 %]\n", + "Force : 0.0636041 [ 19.03 %]\n", + "Coefs : 0.0182431 [ 5.46 %]\n", + "Output : 0.0012821 [ 0.38 %]\n", + "Levels : 7.9701e-05 [ 0.02 %]\n", + "Report : 2.14e-07 [ 0.00 %]\n", + "Balance : 8.5e-08 [ 0.00 %]\n", + "Adjust : 0.245281 [ 73.40 %]\n", + "Total : 0.334148 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23288 1382 278 37 7 4 4 \n", + "1 : 23313 1356 279 34 8 5 5 \n", + "2 : 23294 1383 274 26 15 3 5 \n", + "3 : 23281 1401 280 17 9 5 7 \n", + "\n", + "T : 93176 5522 1111 114 39 17 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0143e-02 sec\n", + "--- Collate = 9.8050e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.512276e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.041376e-01 > 1.000000e-01 [71082]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71082/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=5.7] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00135206 [ 0.41 %]\n", + "Velocity : 0.00321306 [ 0.97 %]\n", + "Force : 0.0659674 [ 19.86 %]\n", + "Coefs : 0.015029 [ 4.53 %]\n", + "Output : 0.0012983 [ 0.39 %]\n", + "Levels : 0.000104555 [ 0.03 %]\n", + "Report : 2.55e-07 [ 0.00 %]\n", + "Balance : 8.5e-08 [ 0.00 %]\n", + "Adjust : 0.245102 [ 73.80 %]\n", + "Total : 0.332116 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23291 1382 276 40 1 3 7 \n", + "1 : 23311 1356 281 35 7 8 2 \n", + "2 : 23293 1388 273 25 13 5 3 \n", + "3 : 23280 1401 282 19 8 4 6 \n", + "\n", + "T : 93175 5527 1112 119 29 20 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.2720e-02 sec\n", + "--- Collate = 1.0093e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.686675e-04 < 1.562500e-03 [7]\n", + "--- Max DT=3.041464e-01 > 1.000000e-01 [71070]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71070/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=5.8] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00154439 [ 0.46 %]\n", + "Velocity : 0.00348179 [ 1.03 %]\n", + "Force : 0.0635242 [ 18.86 %]\n", + "Coefs : 0.0180465 [ 5.36 %]\n", + "Output : 0.00133929 [ 0.40 %]\n", + "Levels : 7.7629e-05 [ 0.02 %]\n", + "Report : 2.32e-07 [ 0.00 %]\n", + "Balance : 8.1e-08 [ 0.00 %]\n", + "Adjust : 0.248732 [ 73.85 %]\n", + "Total : 0.336793 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23295 1379 275 38 3 4 6 \n", + "1 : 23311 1362 274 32 12 6 3 \n", + "2 : 23296 1382 277 24 12 5 4 \n", + "3 : 23275 1408 279 24 5 5 4 \n", + "\n", + "T : 93177 5531 1105 118 32 20 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0496e-02 sec\n", + "--- Collate = 9.3910e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.761920e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.041549e-01 > 1.000000e-01 [71081]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71081/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=5.9] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00140662 [ 0.42 %]\n", + "Velocity : 0.00331171 [ 0.99 %]\n", + "Force : 0.0672079 [ 20.07 %]\n", + "Coefs : 0.0153906 [ 4.60 %]\n", + "Output : 0.00126701 [ 0.38 %]\n", + "Levels : 8.0317e-05 [ 0.02 %]\n", + "Report : 2.16e-07 [ 0.00 %]\n", + "Balance : 8.3e-08 [ 0.00 %]\n", + "Adjust : 0.246231 [ 73.51 %]\n", + "Total : 0.334941 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23289 1383 279 32 9 4 4 \n", + "1 : 23309 1367 275 27 14 3 5 \n", + "2 : 23293 1386 275 29 9 4 4 \n", + "3 : 23272 1414 276 26 7 3 2 \n", + "\n", + "T : 93163 5550 1105 114 39 14 15 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0165e-02 sec\n", + "--- Collate = 9.0700e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.288436e-04 < 1.562500e-03 [8]\n", + "--- Max DT=3.041629e-01 > 1.000000e-01 [71090]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71090/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=6] -------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00135949 [ 0.31 %]\n", + "Velocity : 0.00320031 [ 0.74 %]\n", + "Force : 0.064166 [ 14.80 %]\n", + "Coefs : 0.015335 [ 3.54 %]\n", + "Output : 0.101663 [ 23.44 %]\n", + "Levels : 8.0746e-05 [ 0.02 %]\n", + "Report : 2.7e-07 [ 0.00 %]\n", + "Balance : 1.78e-07 [ 0.00 %]\n", + "Adjust : 0.247802 [ 57.14 %]\n", + "Total : 0.433653 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23281 1393 280 30 6 8 2 \n", + "1 : 23310 1367 270 33 11 4 5 \n", + "2 : 23286 1393 279 21 11 4 6 \n", + "3 : 23267 1418 276 24 10 3 2 \n", + "\n", + "T : 93144 5571 1105 108 38 19 15 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.2735e-02 sec\n", + "--- Collate = 1.2303e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.643598e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.041708e-01 > 1.000000e-01 [71081]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71081/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=6.1] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00114548 [ 0.30 %]\n", + "Velocity : 0.00439794 [ 1.16 %]\n", + "Force : 0.0749829 [ 19.72 %]\n", + "Coefs : 0.0256179 [ 6.74 %]\n", + "Output : 0.00150917 [ 0.40 %]\n", + "Levels : 0.000117884 [ 0.03 %]\n", + "Report : 2.44e-07 [ 0.00 %]\n", + "Balance : 1.32e-07 [ 0.00 %]\n", + "Adjust : 0.272369 [ 71.64 %]\n", + "Total : 0.38019 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23285 1387 281 33 4 5 5 \n", + "1 : 23310 1364 273 37 7 3 6 \n", + "2 : 23287 1390 283 20 9 5 6 \n", + "3 : 23267 1421 273 26 9 2 2 \n", + "\n", + "T : 93149 5562 1110 116 29 15 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0618e-02 sec\n", + "--- Collate = 1.6625e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.661335e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.041781e-01 > 1.000000e-01 [71079]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71079/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=6.2] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.001492 [ 0.41 %]\n", + "Velocity : 0.00379281 [ 1.04 %]\n", + "Force : 0.0798286 [ 21.88 %]\n", + "Coefs : 0.0191531 [ 5.25 %]\n", + "Output : 0.00136274 [ 0.37 %]\n", + "Levels : 8.2615e-05 [ 0.02 %]\n", + "Report : 1.72e-07 [ 0.00 %]\n", + "Balance : 7.7e-08 [ 0.00 %]\n", + "Adjust : 0.259087 [ 71.01 %]\n", + "Total : 0.364847 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23287 1380 283 32 6 6 6 \n", + "1 : 23310 1366 271 38 7 4 4 \n", + "2 : 23288 1392 279 20 7 6 8 \n", + "3 : 23269 1420 274 29 3 3 2 \n", + "\n", + "T : 93154 5558 1107 119 23 19 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0464e-02 sec\n", + "--- Collate = 9.5660e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.601193e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.041850e-01 > 1.000000e-01 [71069]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71069/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=6.3] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00137835 [ 0.41 %]\n", + "Velocity : 0.00317548 [ 0.94 %]\n", + "Force : 0.0643215 [ 19.09 %]\n", + "Coefs : 0.0153154 [ 4.55 %]\n", + "Output : 0.001353 [ 0.40 %]\n", + "Levels : 8.4029e-05 [ 0.02 %]\n", + "Report : 2.26e-07 [ 0.00 %]\n", + "Balance : 1.18e-07 [ 0.00 %]\n", + "Adjust : 0.251245 [ 74.57 %]\n", + "Total : 0.336918 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23283 1385 284 31 6 2 9 \n", + "1 : 23312 1366 269 39 8 2 4 \n", + "2 : 23290 1389 280 22 7 6 6 \n", + "3 : 23268 1422 276 24 4 2 4 \n", + "\n", + "T : 93153 5562 1109 116 25 12 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0439e-02 sec\n", + "--- Collate = 8.7340e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.222095e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.041916e-01 > 1.000000e-01 [71073]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71073/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=6.4] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00135495 [ 0.40 %]\n", + "Velocity : 0.00317579 [ 0.93 %]\n", + "Force : 0.0678956 [ 19.87 %]\n", + "Coefs : 0.0153923 [ 4.51 %]\n", + "Output : 0.0013959 [ 0.41 %]\n", + "Levels : 8.2587e-05 [ 0.02 %]\n", + "Report : 2.36e-07 [ 0.00 %]\n", + "Balance : 1.25e-07 [ 0.00 %]\n", + "Adjust : 0.252289 [ 73.85 %]\n", + "Total : 0.341632 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23278 1389 283 29 10 6 5 \n", + "1 : 23308 1371 272 36 7 3 3 \n", + "2 : 23292 1386 283 19 11 3 6 \n", + "3 : 23270 1420 272 28 5 1 4 \n", + "\n", + "T : 93148 5566 1110 112 33 13 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0538e-02 sec\n", + "--- Collate = 8.9810e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.047099e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.041976e-01 > 1.000000e-01 [71067]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71067/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=6.5] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00140915 [ 0.42 %]\n", + "Velocity : 0.00332369 [ 0.99 %]\n", + "Force : 0.0667772 [ 19.90 %]\n", + "Coefs : 0.0155023 [ 4.62 %]\n", + "Output : 0.00132773 [ 0.40 %]\n", + "Levels : 0.000101632 [ 0.03 %]\n", + "Report : 2.37e-07 [ 0.00 %]\n", + "Balance : 1.25e-07 [ 0.00 %]\n", + "Adjust : 0.247078 [ 73.63 %]\n", + "Total : 0.335566 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23272 1394 284 29 11 4 6 \n", + "1 : 23304 1374 269 38 8 4 3 \n", + "2 : 23298 1380 283 20 8 8 3 \n", + "3 : 23266 1424 274 26 4 2 4 \n", + "\n", + "T : 93140 5572 1110 113 31 18 16 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0205e-02 sec\n", + "--- Collate = 8.8380e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.453046e-05 < 1.562500e-03 [6]\n", + "--- Max DT=3.042030e-01 > 1.000000e-01 [71062]\n", + "----------------------------------------------------------------------\n", + " Component | low: 6/100000\n", + " Component | high: 71062/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=6.6] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00137559 [ 0.41 %]\n", + "Velocity : 0.00321128 [ 0.96 %]\n", + "Force : 0.063863 [ 19.09 %]\n", + "Coefs : 0.0153191 [ 4.58 %]\n", + "Output : 0.00132329 [ 0.40 %]\n", + "Levels : 8.0216e-05 [ 0.02 %]\n", + "Report : 2.28e-07 [ 0.00 %]\n", + "Balance : 8.3e-08 [ 0.00 %]\n", + "Adjust : 0.249338 [ 74.53 %]\n", + "Total : 0.334559 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23272 1399 279 26 13 9 2 \n", + "1 : 23304 1371 271 43 7 1 3 \n", + "2 : 23296 1380 285 22 9 4 4 \n", + "3 : 23262 1425 278 25 3 5 2 \n", + "\n", + "T : 93134 5575 1113 116 32 19 11 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0393e-02 sec\n", + "--- Collate = 1.0265e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.148638e-05 < 1.562500e-03 [4]\n", + "--- Max DT=3.042078e-01 > 1.000000e-01 [71056]\n", + "----------------------------------------------------------------------\n", + " Component | low: 4/100000\n", + " Component | high: 71056/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=6.7] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00138696 [ 0.38 %]\n", + "Velocity : 0.00338146 [ 0.93 %]\n", + "Force : 0.0727653 [ 20.10 %]\n", + "Coefs : 0.0154269 [ 4.26 %]\n", + "Output : 0.00138361 [ 0.38 %]\n", + "Levels : 8.2515e-05 [ 0.02 %]\n", + "Report : 3.89e-07 [ 0.00 %]\n", + "Balance : 1.19e-07 [ 0.00 %]\n", + "Adjust : 0.267616 [ 73.91 %]\n", + "Total : 0.36209 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23277 1395 278 27 14 5 4 \n", + "1 : 23307 1367 273 39 10 3 1 \n", + "2 : 23293 1384 284 26 5 3 5 \n", + "3 : 23258 1428 279 23 6 4 2 \n", + "\n", + "T : 93135 5574 1114 115 35 15 12 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0389e-02 sec\n", + "--- Collate = 9.1750e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.150267e-04 < 1.562500e-03 [10]\n", + "--- Max DT=3.042116e-01 > 1.000000e-01 [71057]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71057/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=6.8] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00153352 [ 0.46 %]\n", + "Velocity : 0.00343459 [ 1.03 %]\n", + "Force : 0.064286 [ 19.19 %]\n", + "Coefs : 0.0175282 [ 5.23 %]\n", + "Output : 0.00134254 [ 0.40 %]\n", + "Levels : 9.2373e-05 [ 0.03 %]\n", + "Report : 2.4e-07 [ 0.00 %]\n", + "Balance : 9.9e-08 [ 0.00 %]\n", + "Adjust : 0.246804 [ 73.66 %]\n", + "Total : 0.335067 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23278 1398 274 30 12 2 6 \n", + "1 : 23310 1363 277 37 8 4 1 \n", + "2 : 23293 1380 288 25 10 0 4 \n", + "3 : 23261 1430 275 21 9 1 3 \n", + "\n", + "T : 93142 5571 1114 113 39 7 14 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0559e-02 sec\n", + "--- Collate = 1.0290e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.174196e-04 < 1.562500e-03 [8]\n", + "--- Max DT=3.042147e-01 > 1.000000e-01 [71049]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71049/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=6.9] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00146241 [ 0.44 %]\n", + "Velocity : 0.00344462 [ 1.03 %]\n", + "Force : 0.0681844 [ 20.30 %]\n", + "Coefs : 0.0152521 [ 4.54 %]\n", + "Output : 0.00127047 [ 0.38 %]\n", + "Levels : 7.7972e-05 [ 0.02 %]\n", + "Report : 2.37e-07 [ 0.00 %]\n", + "Balance : 4.04e-07 [ 0.00 %]\n", + "Adjust : 0.246192 [ 73.29 %]\n", + "Total : 0.335929 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23279 1395 277 32 9 2 6 \n", + "1 : 23310 1363 277 34 11 4 1 \n", + "2 : 23292 1382 289 21 12 1 3 \n", + "3 : 23257 1432 275 23 7 3 3 \n", + "\n", + "T : 93138 5572 1118 110 39 10 13 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0289e-02 sec\n", + "--- Collate = 9.0690e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.250505e-04 < 1.562500e-03 [3]\n", + "--- Max DT=3.042169e-01 > 1.000000e-01 [71045]\n", + "----------------------------------------------------------------------\n", + " Component | low: 3/100000\n", + " Component | high: 71045/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=7] -------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00135943 [ 0.31 %]\n", + "Velocity : 0.00345826 [ 0.79 %]\n", + "Force : 0.0645041 [ 14.79 %]\n", + "Coefs : 0.0153732 [ 3.52 %]\n", + "Output : 0.0982114 [ 22.51 %]\n", + "Levels : 9.5874e-05 [ 0.02 %]\n", + "Report : 3e-07 [ 0.00 %]\n", + "Balance : 1.49e-07 [ 0.00 %]\n", + "Adjust : 0.253173 [ 58.04 %]\n", + "Total : 0.436221 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23279 1393 278 35 6 5 4 \n", + "1 : 23309 1358 284 26 18 3 2 \n", + "2 : 23291 1382 289 23 7 7 1 \n", + "3 : 23259 1429 271 27 8 4 2 \n", + "\n", + "T : 93138 5562 1122 111 39 19 9 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0462e-02 sec\n", + "--- Collate = 9.5000e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.711270e-05 < 1.562500e-03 [6]\n", + "--- Max DT=3.042183e-01 > 1.000000e-01 [71034]\n", + "----------------------------------------------------------------------\n", + " Component | low: 6/100000\n", + " Component | high: 71034/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=7.1] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00135107 [ 0.40 %]\n", + "Velocity : 0.00404736 [ 1.20 %]\n", + "Force : 0.0666431 [ 19.76 %]\n", + "Coefs : 0.0214147 [ 6.35 %]\n", + "Output : 0.00134784 [ 0.40 %]\n", + "Levels : 8.4438e-05 [ 0.03 %]\n", + "Report : 2.44e-07 [ 0.00 %]\n", + "Balance : 7.5e-08 [ 0.00 %]\n", + "Adjust : 0.242406 [ 71.86 %]\n", + "Total : 0.33734 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23281 1393 280 34 3 6 3 \n", + "1 : 23311 1357 284 28 14 4 2 \n", + "2 : 23287 1387 291 18 7 3 7 \n", + "3 : 23258 1431 269 29 6 2 5 \n", + "\n", + "T : 93137 5568 1124 109 30 15 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0534e-02 sec\n", + "--- Collate = 8.7340e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.183369e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.042191e-01 > 1.000000e-01 [71030]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71030/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=7.2] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0013605 [ 0.39 %]\n", + "Velocity : 0.00322682 [ 0.93 %]\n", + "Force : 0.064281 [ 18.54 %]\n", + "Coefs : 0.0155716 [ 4.49 %]\n", + "Output : 0.0015396 [ 0.44 %]\n", + "Levels : 9.8848e-05 [ 0.03 %]\n", + "Report : 2.39e-07 [ 0.00 %]\n", + "Balance : 1.04e-07 [ 0.00 %]\n", + "Adjust : 0.260589 [ 75.16 %]\n", + "Total : 0.346713 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23277 1398 277 35 7 1 5 \n", + "1 : 23310 1354 288 31 8 5 4 \n", + "2 : 23287 1387 292 18 5 4 7 \n", + "3 : 23263 1427 269 25 7 5 4 \n", + "\n", + "T : 93137 5566 1126 109 27 15 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0419e-02 sec\n", + "--- Collate = 1.0069e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.315047e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.042192e-01 > 1.000000e-01 [71034]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71034/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=7.3] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00139554 [ 0.41 %]\n", + "Velocity : 0.00331049 [ 0.97 %]\n", + "Force : 0.0653861 [ 19.17 %]\n", + "Coefs : 0.0192156 [ 5.63 %]\n", + "Output : 0.00139488 [ 0.41 %]\n", + "Levels : 7.9211e-05 [ 0.02 %]\n", + "Report : 2.32e-07 [ 0.00 %]\n", + "Balance : 9.7e-08 [ 0.00 %]\n", + "Adjust : 0.250185 [ 73.37 %]\n", + "Total : 0.341013 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23276 1399 277 29 12 3 4 \n", + "1 : 23308 1356 287 32 7 3 7 \n", + "2 : 23288 1379 298 19 4 4 8 \n", + "3 : 23266 1426 268 23 6 4 7 \n", + "\n", + "T : 93138 5560 1130 103 29 14 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0401e-02 sec\n", + "--- Collate = 9.4950e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.152671e-04 < 1.562500e-03 [10]\n", + "--- Max DT=3.042186e-01 > 1.000000e-01 [71050]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71050/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=7.4] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00136645 [ 0.39 %]\n", + "Velocity : 0.00328815 [ 0.94 %]\n", + "Force : 0.0699743 [ 19.98 %]\n", + "Coefs : 0.0156358 [ 4.46 %]\n", + "Output : 0.00143361 [ 0.41 %]\n", + "Levels : 7.9177e-05 [ 0.02 %]\n", + "Report : 2.46e-07 [ 0.00 %]\n", + "Balance : 1.25e-07 [ 0.00 %]\n", + "Adjust : 0.258438 [ 73.78 %]\n", + "Total : 0.350261 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23274 1405 272 32 8 5 4 \n", + "1 : 23308 1355 290 27 9 5 6 \n", + "2 : 23294 1373 299 19 2 8 5 \n", + "3 : 23266 1423 271 22 5 7 6 \n", + "\n", + "T : 93142 5556 1132 100 24 25 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0423e-02 sec\n", + "--- Collate = 1.0226e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.386509e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.042173e-01 > 1.000000e-01 [71054]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71054/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=7.5] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00140416 [ 0.41 %]\n", + "Velocity : 0.00347329 [ 1.01 %]\n", + "Force : 0.0687778 [ 20.07 %]\n", + "Coefs : 0.0152213 [ 4.44 %]\n", + "Output : 0.00135119 [ 0.39 %]\n", + "Levels : 8.1693e-05 [ 0.02 %]\n", + "Report : 2.37e-07 [ 0.00 %]\n", + "Balance : 9.4e-08 [ 0.00 %]\n", + "Adjust : 0.252393 [ 73.64 %]\n", + "Total : 0.342752 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23268 1412 273 30 10 3 4 \n", + "1 : 23302 1360 289 26 14 3 6 \n", + "2 : 23294 1376 293 23 4 6 4 \n", + "3 : 23271 1419 271 19 8 3 9 \n", + "\n", + "T : 93135 5567 1126 98 36 15 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0376e-02 sec\n", + "--- Collate = 1.2629e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.678641e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.042156e-01 > 1.000000e-01 [71052]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71052/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=7.6] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00136874 [ 0.40 %]\n", + "Velocity : 0.00322383 [ 0.95 %]\n", + "Force : 0.0679727 [ 20.06 %]\n", + "Coefs : 0.015265 [ 4.50 %]\n", + "Output : 0.00134957 [ 0.40 %]\n", + "Levels : 0.000116773 [ 0.03 %]\n", + "Report : 2.37e-07 [ 0.00 %]\n", + "Balance : 1.11e-07 [ 0.00 %]\n", + "Adjust : 0.249522 [ 73.63 %]\n", + "Total : 0.338865 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23271 1409 275 30 7 2 6 \n", + "1 : 23301 1360 291 27 10 9 2 \n", + "2 : 23298 1371 294 20 11 3 3 \n", + "3 : 23272 1417 272 16 12 4 7 \n", + "\n", + "T : 93142 5557 1132 93 40 18 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0120e-02 sec\n", + "--- Collate = 8.7660e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.179437e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.042130e-01 > 1.000000e-01 [71040]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71040/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=7.7] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00143642 [ 0.43 %]\n", + "Velocity : 0.00337261 [ 1.01 %]\n", + "Force : 0.0641602 [ 19.13 %]\n", + "Coefs : 0.0156425 [ 4.66 %]\n", + "Output : 0.00131445 [ 0.39 %]\n", + "Levels : 8.7176e-05 [ 0.03 %]\n", + "Report : 2.23e-07 [ 0.00 %]\n", + "Balance : 1.33e-07 [ 0.00 %]\n", + "Adjust : 0.249325 [ 74.34 %]\n", + "Total : 0.335389 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23271 1408 274 29 9 2 7 \n", + "1 : 23303 1358 293 27 9 7 3 \n", + "2 : 23297 1371 292 22 12 5 1 \n", + "3 : 23273 1416 270 20 8 8 5 \n", + "\n", + "T : 93144 5553 1129 98 38 22 16 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0300e-02 sec\n", + "--- Collate = 1.0140e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.020086e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.042099e-01 > 1.000000e-01 [71041]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71041/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=7.8] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00139248 [ 0.40 %]\n", + "Velocity : 0.00343236 [ 0.99 %]\n", + "Force : 0.0699142 [ 20.24 %]\n", + "Coefs : 0.0151154 [ 4.38 %]\n", + "Output : 0.00142683 [ 0.41 %]\n", + "Levels : 8.7601e-05 [ 0.03 %]\n", + "Report : 2.21e-07 [ 0.00 %]\n", + "Balance : 1.24e-07 [ 0.00 %]\n", + "Adjust : 0.254037 [ 73.54 %]\n", + "Total : 0.345452 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23270 1405 277 31 7 3 7 \n", + "1 : 23310 1352 288 33 9 5 3 \n", + "2 : 23293 1375 291 28 7 4 2 \n", + "3 : 23267 1424 271 16 8 7 7 \n", + "\n", + "T : 93140 5556 1127 108 31 19 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0272e-02 sec\n", + "--- Collate = 9.2000e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.588354e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.042066e-01 > 1.000000e-01 [71041]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71041/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=7.9] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0014675 [ 0.42 %]\n", + "Velocity : 0.0033925 [ 0.97 %]\n", + "Force : 0.071759 [ 20.54 %]\n", + "Coefs : 0.015627 [ 4.47 %]\n", + "Output : 0.00144791 [ 0.41 %]\n", + "Levels : 9.0922e-05 [ 0.03 %]\n", + "Report : 2.33e-07 [ 0.00 %]\n", + "Balance : 9.2e-08 [ 0.00 %]\n", + "Adjust : 0.255561 [ 73.14 %]\n", + "Total : 0.349392 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23270 1407 275 29 6 9 4 \n", + "1 : 23308 1350 290 31 10 3 8 \n", + "2 : 23288 1381 286 29 10 4 2 \n", + "3 : 23264 1424 274 19 5 4 10 \n", + "\n", + "T : 93130 5562 1125 108 31 20 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0397e-02 sec\n", + "--- Collate = 9.8430e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.536753e-06 < 1.562500e-03 [14]\n", + "--- Max DT=3.042025e-01 > 1.000000e-01 [71048]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71048/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=8] -------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00150402 [ 0.36 %]\n", + "Velocity : 0.00328421 [ 0.78 %]\n", + "Force : 0.0687634 [ 16.27 %]\n", + "Coefs : 0.015758 [ 3.73 %]\n", + "Output : 0.0851004 [ 20.14 %]\n", + "Levels : 8.0535e-05 [ 0.02 %]\n", + "Report : 2.88e-07 [ 0.00 %]\n", + "Balance : 1.79e-07 [ 0.00 %]\n", + "Adjust : 0.248091 [ 58.70 %]\n", + "Total : 0.422627 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23268 1406 276 30 8 7 5 \n", + "1 : 23304 1356 293 26 8 3 10 \n", + "2 : 23290 1379 283 31 11 3 3 \n", + "3 : 23264 1425 271 23 5 3 9 \n", + "\n", + "T : 93126 5566 1123 110 32 16 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.2%\n", + "--- Adj/Tot = 0.0%\n", + "--- Update = 1.0485e-02 sec\n", + "--- Collate = 9.4730e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.120337e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.042296e-01 > 1.000000e-01 [71043]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71043/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=8.1] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00168772 [ 0.42 %]\n", + "Velocity : 0.00427304 [ 1.07 %]\n", + "Force : 0.0831836 [ 20.87 %]\n", + "Coefs : 0.0438363 [ 11.00 %]\n", + "Output : 0.00142565 [ 0.36 %]\n", + "Levels : 8.9858e-05 [ 0.02 %]\n", + "Report : 2.22e-07 [ 0.00 %]\n", + "Balance : 1.16e-07 [ 0.00 %]\n", + "Adjust : 0.263965 [ 66.24 %]\n", + "Total : 0.398508 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23268 1404 272 33 13 3 7 \n", + "1 : 23304 1359 290 25 6 7 9 \n", + "2 : 23287 1382 278 36 10 3 4 \n", + "3 : 23259 1435 264 28 3 5 6 \n", + "\n", + "T : 93118 5580 1104 122 32 18 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0137e-02 sec\n", + "--- Collate = 8.8040e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.886718e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.042932e-01 > 1.000000e-01 [71044]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71044/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=8.2] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00146705 [ 0.44 %]\n", + "Velocity : 0.00335253 [ 1.00 %]\n", + "Force : 0.0665801 [ 19.88 %]\n", + "Coefs : 0.0154735 [ 4.62 %]\n", + "Output : 0.00137064 [ 0.41 %]\n", + "Levels : 8.4794e-05 [ 0.03 %]\n", + "Report : 2.33e-07 [ 0.00 %]\n", + "Balance : 1.16e-07 [ 0.00 %]\n", + "Adjust : 0.246494 [ 73.61 %]\n", + "Total : 0.334868 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23265 1405 275 33 12 3 7 \n", + "1 : 23300 1363 286 27 9 7 8 \n", + "2 : 23298 1369 287 27 8 5 6 \n", + "3 : 23263 1432 260 31 5 7 2 \n", + "\n", + "T : 93126 5569 1108 118 34 22 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0234e-02 sec\n", + "--- Collate = 9.1710e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.409563e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.043546e-01 > 1.000000e-01 [71061]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71061/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=8.3] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00139853 [ 0.42 %]\n", + "Velocity : 0.00336188 [ 1.00 %]\n", + "Force : 0.0639912 [ 19.00 %]\n", + "Coefs : 0.0200082 [ 5.94 %]\n", + "Output : 0.00141341 [ 0.42 %]\n", + "Levels : 9.463e-05 [ 0.03 %]\n", + "Report : 2.1e-07 [ 0.00 %]\n", + "Balance : 9.8e-08 [ 0.00 %]\n", + "Adjust : 0.246417 [ 73.18 %]\n", + "Total : 0.33673 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23267 1405 274 28 15 6 5 \n", + "1 : 23307 1358 281 28 11 6 9 \n", + "2 : 23300 1369 289 23 8 6 5 \n", + "3 : 23263 1436 258 29 7 4 3 \n", + "\n", + "T : 93137 5568 1102 108 41 22 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0253e-02 sec\n", + "--- Collate = 1.0336e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.087941e-04 < 1.562500e-03 [13]\n", + "--- Max DT=3.044134e-01 > 1.000000e-01 [71058]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71058/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=8.4] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00138906 [ 0.41 %]\n", + "Velocity : 0.00341257 [ 1.00 %]\n", + "Force : 0.0716926 [ 21.00 %]\n", + "Coefs : 0.0150003 [ 4.39 %]\n", + "Output : 0.00140025 [ 0.41 %]\n", + "Levels : 8.7232e-05 [ 0.03 %]\n", + "Report : 2.41e-07 [ 0.00 %]\n", + "Balance : 1.2e-07 [ 0.00 %]\n", + "Adjust : 0.248439 [ 72.76 %]\n", + "Total : 0.34147 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23267 1406 271 31 15 5 5 \n", + "1 : 23305 1360 279 29 14 3 10 \n", + "2 : 23302 1369 286 24 9 4 6 \n", + "3 : 23263 1436 262 24 8 1 6 \n", + "\n", + "T : 93137 5571 1098 108 46 13 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0061e-02 sec\n", + "--- Collate = 1.0845e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.158251e-06 < 1.562500e-03 [13]\n", + "--- Max DT=3.044698e-01 > 1.000000e-01 [71051]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71051/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=8.5] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00144725 [ 0.43 %]\n", + "Velocity : 0.00342877 [ 1.03 %]\n", + "Force : 0.0672559 [ 20.12 %]\n", + "Coefs : 0.0150513 [ 4.50 %]\n", + "Output : 0.00140637 [ 0.42 %]\n", + "Levels : 8.0989e-05 [ 0.02 %]\n", + "Report : 2.23e-07 [ 0.00 %]\n", + "Balance : 9.4e-08 [ 0.00 %]\n", + "Adjust : 0.245625 [ 73.47 %]\n", + "Total : 0.334341 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23267 1405 275 30 16 3 4 \n", + "1 : 23305 1358 279 34 10 5 9 \n", + "2 : 23302 1370 284 24 10 5 5 \n", + "3 : 23265 1430 266 23 9 1 6 \n", + "\n", + "T : 93139 5563 1104 111 45 14 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0463e-02 sec\n", + "--- Collate = 8.8920e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.066157e-04 < 1.562500e-03 [7]\n", + "--- Max DT=3.045240e-01 > 1.000000e-01 [71044]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71044/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=8.6] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0014303 [ 0.42 %]\n", + "Velocity : 0.00336955 [ 1.00 %]\n", + "Force : 0.0638308 [ 18.87 %]\n", + "Coefs : 0.0203038 [ 6.00 %]\n", + "Output : 0.00136124 [ 0.40 %]\n", + "Levels : 9.0165e-05 [ 0.03 %]\n", + "Report : 2.19e-07 [ 0.00 %]\n", + "Balance : 8.3e-08 [ 0.00 %]\n", + "Adjust : 0.247884 [ 73.27 %]\n", + "Total : 0.338317 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23263 1410 275 33 10 4 5 \n", + "1 : 23305 1361 282 28 11 9 4 \n", + "2 : 23294 1379 285 25 9 2 6 \n", + "3 : 23265 1430 260 30 5 4 6 \n", + "\n", + "T : 93127 5580 1102 116 35 19 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0315e-02 sec\n", + "--- Collate = 1.1371e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.371150e-06 < 1.562500e-03 [11]\n", + "--- Max DT=3.045760e-01 > 1.000000e-01 [71046]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71046/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=8.7] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00137045 [ 0.40 %]\n", + "Velocity : 0.00329295 [ 0.96 %]\n", + "Force : 0.0703097 [ 20.42 %]\n", + "Coefs : 0.0153938 [ 4.47 %]\n", + "Output : 0.00146589 [ 0.43 %]\n", + "Levels : 8.9344e-05 [ 0.03 %]\n", + "Report : 1.65e-07 [ 0.00 %]\n", + "Balance : 1.11e-07 [ 0.00 %]\n", + "Adjust : 0.252288 [ 73.28 %]\n", + "Total : 0.344257 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23262 1412 274 29 12 7 4 \n", + "1 : 23301 1363 282 30 13 7 4 \n", + "2 : 23287 1385 285 29 7 3 4 \n", + "3 : 23266 1427 261 30 7 5 4 \n", + "\n", + "T : 93116 5587 1102 118 39 22 16 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0537e-02 sec\n", + "--- Collate = 1.0361e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.869929e-04 < 1.562500e-03 [10]\n", + "--- Max DT=3.046257e-01 > 1.000000e-01 [71046]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71046/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=8.8] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00143328 [ 0.42 %]\n", + "Velocity : 0.00348813 [ 1.03 %]\n", + "Force : 0.0690198 [ 20.46 %]\n", + "Coefs : 0.0149428 [ 4.43 %]\n", + "Output : 0.00140092 [ 0.42 %]\n", + "Levels : 8.3143e-05 [ 0.02 %]\n", + "Report : 1.74e-07 [ 0.00 %]\n", + "Balance : 1.17e-07 [ 0.00 %]\n", + "Adjust : 0.246971 [ 73.20 %]\n", + "Total : 0.337388 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23261 1414 273 30 11 5 6 \n", + "1 : 23301 1360 285 32 13 5 4 \n", + "2 : 23289 1384 283 28 7 6 3 \n", + "3 : 23261 1430 264 27 8 6 4 \n", + "\n", + "T : 93112 5588 1105 117 39 22 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0391e-02 sec\n", + "--- Collate = 9.4860e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.999424e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.046731e-01 > 1.000000e-01 [71045]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71045/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=8.9] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00137925 [ 0.41 %]\n", + "Velocity : 0.0033276 [ 0.99 %]\n", + "Force : 0.0641156 [ 19.09 %]\n", + "Coefs : 0.0153648 [ 4.57 %]\n", + "Output : 0.00141703 [ 0.42 %]\n", + "Levels : 8.0716e-05 [ 0.02 %]\n", + "Report : 1.78e-07 [ 0.00 %]\n", + "Balance : 1.02e-07 [ 0.00 %]\n", + "Adjust : 0.250148 [ 74.48 %]\n", + "Total : 0.335877 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23266 1409 272 34 5 6 8 \n", + "1 : 23296 1365 287 32 12 2 6 \n", + "2 : 23295 1377 285 28 6 6 3 \n", + "3 : 23265 1425 264 25 11 3 7 \n", + "\n", + "T : 93122 5576 1108 119 34 17 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0274e-02 sec\n", + "--- Collate = 8.7940e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.240956e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.047181e-01 > 1.000000e-01 [71042]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71042/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=9] -------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00142575 [ 0.33 %]\n", + "Velocity : 0.00347339 [ 0.80 %]\n", + "Force : 0.0700008 [ 16.19 %]\n", + "Coefs : 0.0158732 [ 3.67 %]\n", + "Output : 0.0932807 [ 21.58 %]\n", + "Levels : 9.0655e-05 [ 0.02 %]\n", + "Report : 2.12e-07 [ 0.00 %]\n", + "Balance : 1.48e-07 [ 0.00 %]\n", + "Adjust : 0.248049 [ 57.39 %]\n", + "Total : 0.432238 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23263 1412 277 31 4 4 9 \n", + "1 : 23294 1367 288 30 11 6 4 \n", + "2 : 23294 1377 281 36 6 1 5 \n", + "3 : 23267 1426 267 20 11 5 4 \n", + "\n", + "T : 93118 5582 1113 117 32 16 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0687e-02 sec\n", + "--- Collate = 1.3553e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.260244e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.047606e-01 > 1.000000e-01 [71042]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71042/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=9.1] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00103516 [ 0.30 %]\n", + "Velocity : 0.00789577 [ 2.26 %]\n", + "Force : 0.0637636 [ 18.21 %]\n", + "Coefs : 0.0252114 [ 7.20 %]\n", + "Output : 0.00144786 [ 0.41 %]\n", + "Levels : 8.1853e-05 [ 0.02 %]\n", + "Report : 1.42e-07 [ 0.00 %]\n", + "Balance : 1.06e-07 [ 0.00 %]\n", + "Adjust : 0.250636 [ 71.59 %]\n", + "Total : 0.35012 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23263 1411 276 31 7 4 8 \n", + "1 : 23293 1368 291 28 10 5 5 \n", + "2 : 23288 1383 282 32 9 0 6 \n", + "3 : 23264 1428 267 22 12 2 5 \n", + "\n", + "T : 93108 5590 1116 113 38 11 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0267e-02 sec\n", + "--- Collate = 9.7710e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.237587e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.048007e-01 > 1.000000e-01 [71045]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71045/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=9.2] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00160775 [ 0.47 %]\n", + "Velocity : 0.00370988 [ 1.09 %]\n", + "Force : 0.0683276 [ 20.07 %]\n", + "Coefs : 0.0163151 [ 4.79 %]\n", + "Output : 0.00151645 [ 0.45 %]\n", + "Levels : 8.5553e-05 [ 0.03 %]\n", + "Report : 2.42e-07 [ 0.00 %]\n", + "Balance : 9.4e-08 [ 0.00 %]\n", + "Adjust : 0.248864 [ 73.09 %]\n", + "Total : 0.340471 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23261 1412 282 25 11 4 5 \n", + "1 : 23295 1363 291 32 10 4 5 \n", + "2 : 23290 1379 284 29 11 4 3 \n", + "3 : 23263 1424 269 24 10 8 2 \n", + "\n", + "T : 93109 5578 1126 110 42 20 15 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0680e-02 sec\n", + "--- Collate = 1.0738e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.532020e-05 < 1.562500e-03 [4]\n", + "--- Max DT=3.048383e-01 > 1.000000e-01 [71062]\n", + "----------------------------------------------------------------------\n", + " Component | low: 4/100000\n", + " Component | high: 71062/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=9.3] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00141564 [ 0.42 %]\n", + "Velocity : 0.00343633 [ 1.02 %]\n", + "Force : 0.0695828 [ 20.55 %]\n", + "Coefs : 0.0155202 [ 4.58 %]\n", + "Output : 0.00136466 [ 0.40 %]\n", + "Levels : 9.136e-05 [ 0.03 %]\n", + "Report : 4.9e-07 [ 0.00 %]\n", + "Balance : 9.4e-08 [ 0.00 %]\n", + "Adjust : 0.247079 [ 72.98 %]\n", + "Total : 0.338537 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23259 1414 282 25 9 8 3 \n", + "1 : 23296 1361 295 31 7 5 5 \n", + "2 : 23293 1374 286 29 11 5 2 \n", + "3 : 23265 1426 263 29 8 5 4 \n", + "\n", + "T : 93113 5575 1126 114 35 23 14 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0126e-02 sec\n", + "--- Collate = 9.2000e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.115645e-04 < 1.562500e-03 [6]\n", + "--- Max DT=3.048736e-01 > 1.000000e-01 [71062]\n", + "----------------------------------------------------------------------\n", + " Component | low: 6/100000\n", + " Component | high: 71062/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=9.4] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00144985 [ 0.43 %]\n", + "Velocity : 0.00332187 [ 0.99 %]\n", + "Force : 0.0640204 [ 19.13 %]\n", + "Coefs : 0.0153951 [ 4.60 %]\n", + "Output : 0.00134685 [ 0.40 %]\n", + "Levels : 8.8789e-05 [ 0.03 %]\n", + "Report : 2.17e-07 [ 0.00 %]\n", + "Balance : 8.8e-08 [ 0.00 %]\n", + "Adjust : 0.248906 [ 74.39 %]\n", + "Total : 0.334575 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23255 1422 275 26 12 5 5 \n", + "1 : 23297 1360 295 32 8 3 5 \n", + "2 : 23291 1378 287 26 7 8 3 \n", + "3 : 23264 1427 260 33 7 3 6 \n", + "\n", + "T : 93107 5587 1117 117 34 19 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.5184e-02 sec\n", + "--- Collate = 1.0106e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.584401e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.049065e-01 > 1.000000e-01 [71044]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71044/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=9.5] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00138846 [ 0.40 %]\n", + "Velocity : 0.00341787 [ 1.00 %]\n", + "Force : 0.0663637 [ 19.35 %]\n", + "Coefs : 0.0167599 [ 4.89 %]\n", + "Output : 0.00139935 [ 0.41 %]\n", + "Levels : 8.8794e-05 [ 0.03 %]\n", + "Report : 5.5e-07 [ 0.00 %]\n", + "Balance : 1.04e-07 [ 0.00 %]\n", + "Adjust : 0.253542 [ 73.92 %]\n", + "Total : 0.343006 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23256 1420 277 23 15 3 6 \n", + "1 : 23298 1363 290 32 11 3 3 \n", + "2 : 23293 1375 288 25 8 6 5 \n", + "3 : 23265 1426 261 29 12 2 5 \n", + "\n", + "T : 93112 5584 1116 109 46 14 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0427e-02 sec\n", + "--- Collate = 8.9630e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.414774e-04 < 1.562500e-03 [12]\n", + "--- Max DT=3.049373e-01 > 1.000000e-01 [71046]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71046/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=9.6] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00146257 [ 0.39 %]\n", + "Velocity : 0.00387306 [ 1.04 %]\n", + "Force : 0.0848358 [ 22.69 %]\n", + "Coefs : 0.0238228 [ 6.37 %]\n", + "Output : 0.0014781 [ 0.40 %]\n", + "Levels : 8.2539e-05 [ 0.02 %]\n", + "Report : 2.2e-07 [ 0.00 %]\n", + "Balance : 1.02e-07 [ 0.00 %]\n", + "Adjust : 0.258308 [ 69.08 %]\n", + "Total : 0.373908 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23255 1420 278 25 9 4 9 \n", + "1 : 23297 1366 289 32 9 3 4 \n", + "2 : 23293 1377 283 29 6 2 10 \n", + "3 : 23261 1432 261 28 9 4 5 \n", + "\n", + "T : 93106 5595 1111 114 33 13 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0468e-02 sec\n", + "--- Collate = 9.0120e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.584300e-04 < 1.562500e-03 [15]\n", + "--- Max DT=3.049660e-01 > 1.000000e-01 [71030]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71030/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=9.7] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00140999 [ 0.42 %]\n", + "Velocity : 0.00342341 [ 1.01 %]\n", + "Force : 0.064979 [ 19.15 %]\n", + "Coefs : 0.0209935 [ 6.19 %]\n", + "Output : 0.00139986 [ 0.41 %]\n", + "Levels : 9.3312e-05 [ 0.03 %]\n", + "Report : 2.27e-07 [ 0.00 %]\n", + "Balance : 8.6e-08 [ 0.00 %]\n", + "Adjust : 0.24696 [ 72.78 %]\n", + "Total : 0.339305 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23251 1422 280 30 3 7 7 \n", + "1 : 23298 1365 285 34 12 5 1 \n", + "2 : 23299 1372 280 29 6 6 8 \n", + "3 : 23261 1428 267 26 11 5 2 \n", + "\n", + "T : 93109 5587 1112 119 32 23 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0560e-02 sec\n", + "--- Collate = 9.9190e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.433740e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.049926e-01 > 1.000000e-01 [71031]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71031/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=9.8] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00135777 [ 0.40 %]\n", + "Velocity : 0.003279 [ 0.96 %]\n", + "Force : 0.0707302 [ 20.64 %]\n", + "Coefs : 0.0156007 [ 4.55 %]\n", + "Output : 0.00140545 [ 0.41 %]\n", + "Levels : 8.3355e-05 [ 0.02 %]\n", + "Report : 2.29e-07 [ 0.00 %]\n", + "Balance : 9.3e-08 [ 0.00 %]\n", + "Adjust : 0.250226 [ 73.01 %]\n", + "Total : 0.342729 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23258 1416 278 30 5 4 9 \n", + "1 : 23296 1366 287 32 14 3 2 \n", + "2 : 23298 1374 275 32 8 5 8 \n", + "3 : 23265 1425 269 23 13 2 3 \n", + "\n", + "T : 93117 5581 1109 117 40 14 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0511e-02 sec\n", + "--- Collate = 9.2430e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.069066e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.050171e-01 > 1.000000e-01 [71053]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71053/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=9.9] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00144554 [ 0.43 %]\n", + "Velocity : 0.00341127 [ 1.01 %]\n", + "Force : 0.0682041 [ 20.24 %]\n", + "Coefs : 0.0154803 [ 4.59 %]\n", + "Output : 0.00136257 [ 0.40 %]\n", + "Levels : 8.4094e-05 [ 0.02 %]\n", + "Report : 2.18e-07 [ 0.00 %]\n", + "Balance : 8.2e-08 [ 0.00 %]\n", + "Adjust : 0.246932 [ 73.28 %]\n", + "Total : 0.336967 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23262 1412 277 29 10 5 5 \n", + "1 : 23296 1366 291 29 10 6 2 \n", + "2 : 23294 1376 278 30 12 7 3 \n", + "3 : 23265 1426 268 24 8 6 3 \n", + "\n", + "T : 93117 5580 1114 112 40 24 13 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0034e-02 sec\n", + "--- Collate = 9.2630e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.300382e-05 < 1.562500e-03 [6]\n", + "--- Max DT=3.050395e-01 > 1.000000e-01 [71059]\n", + "----------------------------------------------------------------------\n", + " Component | low: 6/100000\n", + " Component | high: 71059/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=10] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0013559 [ 0.32 %]\n", + "Velocity : 0.00341609 [ 0.81 %]\n", + "Force : 0.0635891 [ 14.99 %]\n", + "Coefs : 0.0154356 [ 3.64 %]\n", + "Output : 0.0879576 [ 20.73 %]\n", + "Levels : 7.5989e-05 [ 0.02 %]\n", + "Report : 2.87e-07 [ 0.00 %]\n", + "Balance : 1.37e-07 [ 0.00 %]\n", + "Adjust : 0.252389 [ 59.49 %]\n", + "Total : 0.424266 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23265 1410 276 28 10 6 5 \n", + "1 : 23295 1370 290 26 9 4 6 \n", + "2 : 23297 1373 280 30 13 3 4 \n", + "3 : 23264 1422 274 22 7 7 4 \n", + "\n", + "T : 93121 5575 1120 106 39 20 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0092e-02 sec\n", + "--- Collate = 1.0082e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.342616e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.050598e-01 > 1.000000e-01 [71068]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71068/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=10.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00108691 [ 0.30 %]\n", + "Velocity : 0.00940219 [ 2.57 %]\n", + "Force : 0.0787398 [ 21.50 %]\n", + "Coefs : 0.0298719 [ 8.16 %]\n", + "Output : 0.00136391 [ 0.37 %]\n", + "Levels : 9.1705e-05 [ 0.03 %]\n", + "Report : 2.04e-07 [ 0.00 %]\n", + "Balance : 3.01e-07 [ 0.00 %]\n", + "Adjust : 0.245621 [ 67.07 %]\n", + "Total : 0.366224 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23267 1411 268 35 9 8 2 \n", + "1 : 23299 1369 286 28 7 4 7 \n", + "2 : 23295 1378 281 28 9 7 2 \n", + "3 : 23271 1411 277 24 6 6 5 \n", + "\n", + "T : 93132 5569 1112 115 31 25 16 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0610e-02 sec\n", + "--- Collate = 9.7500e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.313397e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.050777e-01 > 1.000000e-01 [71071]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71071/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=10.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00154116 [ 0.46 %]\n", + "Velocity : 0.00327436 [ 0.97 %]\n", + "Force : 0.0695586 [ 20.64 %]\n", + "Coefs : 0.0152748 [ 4.53 %]\n", + "Output : 0.00126232 [ 0.37 %]\n", + "Levels : 9.1915e-05 [ 0.03 %]\n", + "Report : 2.19e-07 [ 0.00 %]\n", + "Balance : 1.1e-07 [ 0.00 %]\n", + "Adjust : 0.246023 [ 72.99 %]\n", + "Total : 0.337073 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23271 1405 268 35 14 4 3 \n", + "1 : 23294 1375 283 32 5 5 6 \n", + "2 : 23294 1379 278 33 8 4 4 \n", + "3 : 23268 1410 280 24 7 5 6 \n", + "\n", + "T : 93127 5569 1109 124 34 18 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0564e-02 sec\n", + "--- Collate = 9.6080e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.435538e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.050934e-01 > 1.000000e-01 [71071]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71071/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=10.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00142064 [ 0.41 %]\n", + "Velocity : 0.00335422 [ 0.96 %]\n", + "Force : 0.0674644 [ 19.27 %]\n", + "Coefs : 0.0156658 [ 4.47 %]\n", + "Output : 0.00140214 [ 0.40 %]\n", + "Levels : 0.00010603 [ 0.03 %]\n", + "Report : 2.21e-07 [ 0.00 %]\n", + "Balance : 1.46e-07 [ 0.00 %]\n", + "Adjust : 0.260651 [ 74.45 %]\n", + "Total : 0.350113 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23273 1403 273 32 12 2 5 \n", + "1 : 23291 1377 286 30 6 3 7 \n", + "2 : 23295 1377 278 32 9 3 6 \n", + "3 : 23268 1407 282 23 6 8 6 \n", + "\n", + "T : 93127 5564 1119 117 33 16 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0432e-02 sec\n", + "--- Collate = 1.0162e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.424015e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.051065e-01 > 1.000000e-01 [71063]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71063/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=10.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00144316 [ 0.42 %]\n", + "Velocity : 0.00338517 [ 0.98 %]\n", + "Force : 0.0678393 [ 19.70 %]\n", + "Coefs : 0.0155177 [ 4.51 %]\n", + "Output : 0.00138718 [ 0.40 %]\n", + "Levels : 9.5247e-05 [ 0.03 %]\n", + "Report : 2.42e-07 [ 0.00 %]\n", + "Balance : 8.5e-08 [ 0.00 %]\n", + "Adjust : 0.254567 [ 73.94 %]\n", + "Total : 0.344283 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23276 1397 274 36 9 3 5 \n", + "1 : 23285 1384 283 34 6 3 5 \n", + "2 : 23289 1385 274 36 5 6 5 \n", + "3 : 23272 1404 282 21 8 4 9 \n", + "\n", + "T : 93122 5570 1113 127 28 16 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0521e-02 sec\n", + "--- Collate = 9.5770e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.490808e-06 < 1.562500e-03 [10]\n", + "--- Max DT=3.051173e-01 > 1.000000e-01 [71066]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71066/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=10.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00146925 [ 0.43 %]\n", + "Velocity : 0.00330092 [ 0.98 %]\n", + "Force : 0.0653597 [ 19.34 %]\n", + "Coefs : 0.0188281 [ 5.57 %]\n", + "Output : 0.00132451 [ 0.39 %]\n", + "Levels : 9.2572e-05 [ 0.03 %]\n", + "Report : 2.31e-07 [ 0.00 %]\n", + "Balance : 1.12e-07 [ 0.00 %]\n", + "Adjust : 0.247575 [ 73.25 %]\n", + "Total : 0.337996 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23278 1396 274 36 10 3 3 \n", + "1 : 23287 1382 285 29 11 2 4 \n", + "2 : 23295 1378 276 33 9 4 5 \n", + "3 : 23269 1404 286 21 9 4 7 \n", + "\n", + "T : 93129 5560 1121 119 39 13 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0532e-02 sec\n", + "--- Collate = 9.7950e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.224642e-04 < 1.562500e-03 [7]\n", + "--- Max DT=3.051255e-01 > 1.000000e-01 [71064]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71064/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=10.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00136742 [ 0.41 %]\n", + "Velocity : 0.00326765 [ 0.97 %]\n", + "Force : 0.0695062 [ 20.59 %]\n", + "Coefs : 0.0154161 [ 4.57 %]\n", + "Output : 0.00131829 [ 0.39 %]\n", + "Levels : 8.3638e-05 [ 0.02 %]\n", + "Report : 2.26e-07 [ 0.00 %]\n", + "Balance : 1.11e-07 [ 0.00 %]\n", + "Adjust : 0.246489 [ 73.04 %]\n", + "Total : 0.337494 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23281 1391 276 34 11 6 1 \n", + "1 : 23288 1383 279 31 13 5 1 \n", + "2 : 23297 1377 277 29 10 6 4 \n", + "3 : 23273 1401 285 22 7 6 6 \n", + "\n", + "T : 93139 5552 1117 116 41 23 12 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0145e-02 sec\n", + "--- Collate = 1.0153e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.403825e-05 < 1.562500e-03 [5]\n", + "--- Max DT=3.051315e-01 > 1.000000e-01 [71070]\n", + "----------------------------------------------------------------------\n", + " Component | low: 5/100000\n", + " Component | high: 71070/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=10.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00149505 [ 0.44 %]\n", + "Velocity : 0.0032317 [ 0.96 %]\n", + "Force : 0.0653835 [ 19.39 %]\n", + "Coefs : 0.0167821 [ 4.98 %]\n", + "Output : 0.00131942 [ 0.39 %]\n", + "Levels : 8.2535e-05 [ 0.02 %]\n", + "Report : 2.14e-07 [ 0.00 %]\n", + "Balance : 1.06e-07 [ 0.00 %]\n", + "Adjust : 0.248846 [ 73.80 %]\n", + "Total : 0.337187 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23274 1399 278 31 11 4 3 \n", + "1 : 23293 1382 276 32 12 2 3 \n", + "2 : 23295 1375 282 28 11 6 3 \n", + "3 : 23271 1406 279 25 9 6 4 \n", + "\n", + "T : 93133 5562 1115 116 43 18 13 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0209e-02 sec\n", + "--- Collate = 9.6470e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.748029e-04 < 1.562500e-03 [7]\n", + "--- Max DT=3.051351e-01 > 1.000000e-01 [71063]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71063/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=10.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00139908 [ 0.42 %]\n", + "Velocity : 0.00352712 [ 1.05 %]\n", + "Force : 0.0651752 [ 19.48 %]\n", + "Coefs : 0.0179803 [ 5.37 %]\n", + "Output : 0.00132489 [ 0.40 %]\n", + "Levels : 8.7205e-05 [ 0.03 %]\n", + "Report : 2e-07 [ 0.00 %]\n", + "Balance : 1.17e-07 [ 0.00 %]\n", + "Adjust : 0.24505 [ 73.24 %]\n", + "Total : 0.334591 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23279 1395 283 25 8 4 6 \n", + "1 : 23292 1381 279 32 10 2 4 \n", + "2 : 23296 1376 283 23 12 8 2 \n", + "3 : 23274 1403 279 27 7 7 3 \n", + "\n", + "T : 93141 5555 1124 107 37 21 15 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0394e-02 sec\n", + "--- Collate = 9.2160e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.297147e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.051365e-01 > 1.000000e-01 [71058]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71058/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=10.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00134352 [ 0.40 %]\n", + "Velocity : 0.00320218 [ 0.95 %]\n", + "Force : 0.068906 [ 20.50 %]\n", + "Coefs : 0.0149896 [ 4.46 %]\n", + "Output : 0.00136146 [ 0.40 %]\n", + "Levels : 8.1113e-05 [ 0.02 %]\n", + "Report : 2.27e-07 [ 0.00 %]\n", + "Balance : 1.28e-07 [ 0.00 %]\n", + "Adjust : 0.246278 [ 73.25 %]\n", + "Total : 0.336206 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23279 1395 281 24 10 4 7 \n", + "1 : 23289 1382 282 32 9 0 6 \n", + "2 : 23296 1376 281 28 7 10 2 \n", + "3 : 23273 1404 278 29 8 3 5 \n", + "\n", + "T : 93137 5557 1122 113 34 17 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0477e-02 sec\n", + "--- Collate = 9.8590e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.726853e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.051357e-01 > 1.000000e-01 [71061]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71061/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=11] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00149983 [ 0.35 %]\n", + "Velocity : 0.00347756 [ 0.80 %]\n", + "Force : 0.0700993 [ 16.16 %]\n", + "Coefs : 0.0178156 [ 4.11 %]\n", + "Output : 0.0737448 [ 17.00 %]\n", + "Levels : 8.1813e-05 [ 0.02 %]\n", + "Report : 2.97e-07 [ 0.00 %]\n", + "Balance : 2.61e-07 [ 0.00 %]\n", + "Adjust : 0.26696 [ 61.55 %]\n", + "Total : 0.433727 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23281 1391 284 25 6 6 7 \n", + "1 : 23293 1378 278 37 3 7 4 \n", + "2 : 23293 1382 277 25 15 4 4 \n", + "3 : 23271 1409 276 27 8 3 6 \n", + "\n", + "T : 93138 5560 1115 114 32 20 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0204e-02 sec\n", + "--- Collate = 9.0950e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.969674e-06 < 1.562500e-03 [7]\n", + "--- Max DT=3.051326e-01 > 1.000000e-01 [71061]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71061/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=11.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00132544 [ 0.38 %]\n", + "Velocity : 0.00403419 [ 1.16 %]\n", + "Force : 0.0675034 [ 19.36 %]\n", + "Coefs : 0.0297738 [ 8.54 %]\n", + "Output : 0.00135226 [ 0.39 %]\n", + "Levels : 8.5606e-05 [ 0.02 %]\n", + "Report : 2.25e-07 [ 0.00 %]\n", + "Balance : 9.7e-08 [ 0.00 %]\n", + "Adjust : 0.244583 [ 70.14 %]\n", + "Total : 0.348704 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23275 1398 284 21 9 8 5 \n", + "1 : 23289 1384 277 34 5 7 4 \n", + "2 : 23293 1383 273 27 15 4 5 \n", + "3 : 23275 1408 275 28 6 3 5 \n", + "\n", + "T : 93132 5573 1109 110 35 22 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0369e-02 sec\n", + "--- Collate = 9.8470e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.199335e-04 < 1.562500e-03 [13]\n", + "--- Max DT=3.051275e-01 > 1.000000e-01 [71065]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71065/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=11.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00141204 [ 0.41 %]\n", + "Velocity : 0.00339528 [ 1.00 %]\n", + "Force : 0.0683431 [ 20.06 %]\n", + "Coefs : 0.0150648 [ 4.42 %]\n", + "Output : 0.00137551 [ 0.40 %]\n", + "Levels : 0.000101869 [ 0.03 %]\n", + "Report : 2.34e-07 [ 0.00 %]\n", + "Balance : 1.21e-07 [ 0.00 %]\n", + "Adjust : 0.250873 [ 73.65 %]\n", + "Total : 0.340611 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23277 1395 284 23 8 6 7 \n", + "1 : 23292 1377 284 30 7 5 5 \n", + "2 : 23295 1382 278 20 14 4 7 \n", + "3 : 23271 1410 275 30 7 3 4 \n", + "\n", + "T : 93135 5564 1121 103 36 18 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0277e-02 sec\n", + "--- Collate = 1.0135e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.732889e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.051202e-01 > 1.000000e-01 [71081]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71081/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=11.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00141509 [ 0.41 %]\n", + "Velocity : 0.00337697 [ 0.97 %]\n", + "Force : 0.0670864 [ 19.26 %]\n", + "Coefs : 0.0154226 [ 4.43 %]\n", + "Output : 0.00136382 [ 0.39 %]\n", + "Levels : 9.9552e-05 [ 0.03 %]\n", + "Report : 2.12e-07 [ 0.00 %]\n", + "Balance : 1.11e-07 [ 0.00 %]\n", + "Adjust : 0.259434 [ 74.50 %]\n", + "Total : 0.348248 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23276 1394 285 24 10 5 6 \n", + "1 : 23290 1381 280 30 11 3 5 \n", + "2 : 23295 1383 277 22 13 4 6 \n", + "3 : 23270 1413 272 33 6 3 3 \n", + "\n", + "T : 93131 5571 1114 109 40 15 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0396e-02 sec\n", + "--- Collate = 9.3020e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.859405e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.051110e-01 > 1.000000e-01 [71094]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71094/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=11.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00152387 [ 0.45 %]\n", + "Velocity : 0.00347881 [ 1.03 %]\n", + "Force : 0.0643324 [ 18.97 %]\n", + "Coefs : 0.0221945 [ 6.55 %]\n", + "Output : 0.00133537 [ 0.39 %]\n", + "Levels : 8.8186e-05 [ 0.03 %]\n", + "Report : 2.24e-07 [ 0.00 %]\n", + "Balance : 1.02e-07 [ 0.00 %]\n", + "Adjust : 0.246083 [ 72.57 %]\n", + "Total : 0.339081 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23280 1390 281 28 12 3 6 \n", + "1 : 23291 1380 280 32 8 4 5 \n", + "2 : 23297 1379 279 24 12 3 6 \n", + "3 : 23273 1409 271 37 4 4 2 \n", + "\n", + "T : 93141 5558 1111 121 36 14 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0375e-02 sec\n", + "--- Collate = 1.4320e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.722319e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.050997e-01 > 1.000000e-01 [71101]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71101/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=11.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00140603 [ 0.38 %]\n", + "Velocity : 0.00344389 [ 0.94 %]\n", + "Force : 0.0763212 [ 20.74 %]\n", + "Coefs : 0.0162572 [ 4.42 %]\n", + "Output : 0.00136364 [ 0.37 %]\n", + "Levels : 8.9621e-05 [ 0.02 %]\n", + "Report : 2.18e-07 [ 0.00 %]\n", + "Balance : 9.8e-08 [ 0.00 %]\n", + "Adjust : 0.269015 [ 73.11 %]\n", + "Total : 0.367945 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23278 1390 281 32 5 9 5 \n", + "1 : 23292 1379 279 33 8 6 3 \n", + "2 : 23299 1377 274 30 12 4 4 \n", + "3 : 23273 1415 269 31 5 5 2 \n", + "\n", + "T : 93142 5561 1103 126 30 24 14 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0601e-02 sec\n", + "--- Collate = 9.3620e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.928461e-05 < 1.562500e-03 [5]\n", + "--- Max DT=3.050864e-01 > 1.000000e-01 [71116]\n", + "----------------------------------------------------------------------\n", + " Component | low: 5/100000\n", + " Component | high: 71116/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=11.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00141716 [ 0.42 %]\n", + "Velocity : 0.00335408 [ 0.99 %]\n", + "Force : 0.0637878 [ 18.89 %]\n", + "Coefs : 0.0207407 [ 6.14 %]\n", + "Output : 0.00127292 [ 0.38 %]\n", + "Levels : 8.7459e-05 [ 0.03 %]\n", + "Report : 2.27e-07 [ 0.00 %]\n", + "Balance : 9.5e-08 [ 0.00 %]\n", + "Adjust : 0.246931 [ 73.13 %]\n", + "Total : 0.337639 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23276 1388 284 33 6 6 7 \n", + "1 : 23292 1375 282 34 9 4 4 \n", + "2 : 23294 1383 276 27 10 5 5 \n", + "3 : 23273 1413 275 27 5 4 3 \n", + "\n", + "T : 93135 5559 1117 121 30 19 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 9.9582e-03 sec\n", + "--- Collate = 9.7790e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.873966e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.050709e-01 > 1.000000e-01 [71111]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71111/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=11.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00147058 [ 0.44 %]\n", + "Velocity : 0.00342016 [ 1.01 %]\n", + "Force : 0.0708212 [ 20.96 %]\n", + "Coefs : 0.0154637 [ 4.58 %]\n", + "Output : 0.00132212 [ 0.39 %]\n", + "Levels : 7.6678e-05 [ 0.02 %]\n", + "Report : 2.16e-07 [ 0.00 %]\n", + "Balance : 9.5e-08 [ 0.00 %]\n", + "Adjust : 0.245319 [ 72.59 %]\n", + "Total : 0.337937 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23274 1391 284 32 9 4 6 \n", + "1 : 23292 1373 285 33 9 5 3 \n", + "2 : 23290 1382 281 25 10 8 4 \n", + "3 : 23272 1412 275 28 6 2 5 \n", + "\n", + "T : 93128 5558 1125 118 34 19 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0364e-02 sec\n", + "--- Collate = 9.5040e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.435153e-04 < 1.562500e-03 [8]\n", + "--- Max DT=3.050532e-01 > 1.000000e-01 [71116]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71116/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=11.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00136574 [ 0.40 %]\n", + "Velocity : 0.00319072 [ 0.94 %]\n", + "Force : 0.0654892 [ 19.37 %]\n", + "Coefs : 0.0148912 [ 4.41 %]\n", + "Output : 0.00133296 [ 0.39 %]\n", + "Levels : 8.0383e-05 [ 0.02 %]\n", + "Report : 5.16e-07 [ 0.00 %]\n", + "Balance : 9.4e-08 [ 0.00 %]\n", + "Adjust : 0.251637 [ 74.44 %]\n", + "Total : 0.338035 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23276 1389 287 27 11 6 4 \n", + "1 : 23295 1370 286 29 10 6 4 \n", + "2 : 23296 1377 276 28 14 4 5 \n", + "3 : 23272 1407 276 29 9 2 5 \n", + "\n", + "T : 93139 5543 1125 113 44 18 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0494e-02 sec\n", + "--- Collate = 9.1540e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.597439e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.050333e-01 > 1.000000e-01 [71132]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71132/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=11.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0014286 [ 0.42 %]\n", + "Velocity : 0.0033111 [ 0.98 %]\n", + "Force : 0.0642136 [ 18.92 %]\n", + "Coefs : 0.0227567 [ 6.71 %]\n", + "Output : 0.00131154 [ 0.39 %]\n", + "Levels : 9.4054e-05 [ 0.03 %]\n", + "Report : 2.22e-07 [ 0.00 %]\n", + "Balance : 8.1e-08 [ 0.00 %]\n", + "Adjust : 0.246149 [ 72.54 %]\n", + "Total : 0.339314 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23276 1390 288 27 10 8 1 \n", + "1 : 23293 1375 283 28 13 3 5 \n", + "2 : 23297 1372 282 30 8 4 7 \n", + "3 : 23272 1402 284 25 11 4 2 \n", + "\n", + "T : 93138 5539 1137 110 42 19 15 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0252e-02 sec\n", + "--- Collate = 9.4410e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.860739e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.050113e-01 > 1.000000e-01 [71129]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71129/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=12] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00134822 [ 0.31 %]\n", + "Velocity : 0.00316988 [ 0.73 %]\n", + "Force : 0.0723328 [ 16.74 %]\n", + "Coefs : 0.0153674 [ 3.56 %]\n", + "Output : 0.0920104 [ 21.30 %]\n", + "Levels : 8.319e-05 [ 0.02 %]\n", + "Report : 2.78e-07 [ 0.00 %]\n", + "Balance : 1.47e-07 [ 0.00 %]\n", + "Adjust : 0.247705 [ 57.33 %]\n", + "Total : 0.432066 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23273 1392 292 25 11 6 1 \n", + "1 : 23290 1378 283 26 14 4 5 \n", + "2 : 23301 1367 280 30 11 5 6 \n", + "3 : 23274 1404 281 24 9 5 3 \n", + "\n", + "T : 93138 5541 1136 105 45 20 15 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0265e-02 sec\n", + "--- Collate = 8.9890e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.296481e-04 < 1.562500e-03 [5]\n", + "--- Max DT=3.049872e-01 > 1.000000e-01 [71149]\n", + "----------------------------------------------------------------------\n", + " Component | low: 5/100000\n", + " Component | high: 71149/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=12.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00167361 [ 0.37 %]\n", + "Velocity : 0.00349538 [ 0.78 %]\n", + "Force : 0.0939878 [ 20.84 %]\n", + "Coefs : 0.0443349 [ 9.83 %]\n", + "Output : 0.00146107 [ 0.32 %]\n", + "Levels : 8.8448e-05 [ 0.02 %]\n", + "Report : 2.25e-07 [ 0.00 %]\n", + "Balance : 9.6e-08 [ 0.00 %]\n", + "Adjust : 0.305903 [ 67.83 %]\n", + "Total : 0.450996 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23266 1398 292 26 12 4 2 \n", + "1 : 23288 1383 284 26 11 2 6 \n", + "2 : 23303 1364 278 32 16 3 4 \n", + "3 : 23269 1408 280 27 6 6 4 \n", + "\n", + "T : 93126 5553 1134 111 45 15 16 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 9.9769e-03 sec\n", + "--- Collate = 9.7790e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.436877e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.049609e-01 > 1.000000e-01 [71150]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71150/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=12.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00136743 [ 0.40 %]\n", + "Velocity : 0.0032803 [ 0.97 %]\n", + "Force : 0.0735304 [ 21.67 %]\n", + "Coefs : 0.0151562 [ 4.47 %]\n", + "Output : 0.00137857 [ 0.41 %]\n", + "Levels : 8.5727e-05 [ 0.03 %]\n", + "Report : 2.07e-07 [ 0.00 %]\n", + "Balance : 1.35e-07 [ 0.00 %]\n", + "Adjust : 0.244396 [ 72.04 %]\n", + "Total : 0.339243 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23267 1395 290 30 12 2 4 \n", + "1 : 23281 1393 281 25 10 6 4 \n", + "2 : 23304 1361 282 30 15 7 1 \n", + "3 : 23268 1413 279 26 6 2 6 \n", + "\n", + "T : 93120 5562 1132 111 43 17 15 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0835e-02 sec\n", + "--- Collate = 9.5720e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.685516e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.049323e-01 > 1.000000e-01 [71151]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71151/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=12.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00134042 [ 0.39 %]\n", + "Velocity : 0.0033971 [ 0.99 %]\n", + "Force : 0.0719879 [ 20.94 %]\n", + "Coefs : 0.0148513 [ 4.32 %]\n", + "Output : 0.00138625 [ 0.40 %]\n", + "Levels : 8.0623e-05 [ 0.02 %]\n", + "Report : 2.19e-07 [ 0.00 %]\n", + "Balance : 9.1e-08 [ 0.00 %]\n", + "Adjust : 0.250711 [ 72.92 %]\n", + "Total : 0.343806 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23263 1397 291 35 9 0 5 \n", + "1 : 23281 1391 282 25 12 2 7 \n", + "2 : 23301 1363 286 28 15 3 4 \n", + "3 : 23266 1418 276 27 5 2 6 \n", + "\n", + "T : 93111 5569 1135 115 41 7 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0322e-02 sec\n", + "--- Collate = 1.0137e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.251931e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.049017e-01 > 1.000000e-01 [71141]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71141/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=12.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00137664 [ 0.38 %]\n", + "Velocity : 0.00337008 [ 0.94 %]\n", + "Force : 0.0702557 [ 19.52 %]\n", + "Coefs : 0.0160969 [ 4.47 %]\n", + "Output : 0.00134203 [ 0.37 %]\n", + "Levels : 9.4438e-05 [ 0.03 %]\n", + "Report : 2.1e-07 [ 0.00 %]\n", + "Balance : 8.3e-08 [ 0.00 %]\n", + "Adjust : 0.267264 [ 74.27 %]\n", + "Total : 0.359851 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23257 1404 292 35 6 2 4 \n", + "1 : 23277 1392 284 28 7 6 6 \n", + "2 : 23294 1371 280 31 17 2 5 \n", + "3 : 23268 1414 278 26 7 3 4 \n", + "\n", + "T : 93096 5581 1134 120 37 13 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0556e-02 sec\n", + "--- Collate = 8.9080e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.054266e-04 < 1.562500e-03 [5]\n", + "--- Max DT=3.049050e-01 > 1.000000e-01 [71141]\n", + "----------------------------------------------------------------------\n", + " Component | low: 5/100000\n", + " Component | high: 71141/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=12.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00143064 [ 0.42 %]\n", + "Velocity : 0.0033843 [ 0.99 %]\n", + "Force : 0.0682655 [ 20.01 %]\n", + "Coefs : 0.0153846 [ 4.51 %]\n", + "Output : 0.00134017 [ 0.39 %]\n", + "Levels : 8.3972e-05 [ 0.02 %]\n", + "Report : 2.19e-07 [ 0.00 %]\n", + "Balance : 1.36e-07 [ 0.00 %]\n", + "Adjust : 0.251305 [ 73.64 %]\n", + "Total : 0.341241 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23259 1400 295 36 4 4 2 \n", + "1 : 23277 1393 284 24 11 4 7 \n", + "2 : 23295 1369 282 28 17 3 6 \n", + "3 : 23266 1414 281 25 8 4 2 \n", + "\n", + "T : 93097 5576 1142 113 40 15 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0392e-02 sec\n", + "--- Collate = 1.4320e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.542187e-04 < 1.562500e-03 [6]\n", + "--- Max DT=3.049174e-01 > 1.000000e-01 [71118]\n", + "----------------------------------------------------------------------\n", + " Component | low: 6/100000\n", + " Component | high: 71118/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=12.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00136961 [ 0.40 %]\n", + "Velocity : 0.00317062 [ 0.93 %]\n", + "Force : 0.0639753 [ 18.69 %]\n", + "Coefs : 0.0153687 [ 4.49 %]\n", + "Output : 0.00147377 [ 0.43 %]\n", + "Levels : 0.000100264 [ 0.03 %]\n", + "Report : 2.29e-07 [ 0.00 %]\n", + "Balance : 7.2e-08 [ 0.00 %]\n", + "Adjust : 0.256846 [ 75.02 %]\n", + "Total : 0.342358 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23258 1405 293 34 6 2 2 \n", + "1 : 23280 1389 281 27 12 6 5 \n", + "2 : 23298 1367 283 26 14 9 3 \n", + "3 : 23257 1424 279 24 13 2 1 \n", + "\n", + "T : 93093 5585 1136 111 45 19 11 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0437e-02 sec\n", + "--- Collate = 1.0386e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.241791e-04 < 1.562500e-03 [7]\n", + "--- Max DT=3.049294e-01 > 1.000000e-01 [71121]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71121/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=12.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00148061 [ 0.44 %]\n", + "Velocity : 0.00333271 [ 0.98 %]\n", + "Force : 0.0679418 [ 20.01 %]\n", + "Coefs : 0.018338 [ 5.40 %]\n", + "Output : 0.00135539 [ 0.40 %]\n", + "Levels : 8.3724e-05 [ 0.02 %]\n", + "Report : 2.31e-07 [ 0.00 %]\n", + "Balance : 1.07e-07 [ 0.00 %]\n", + "Adjust : 0.246889 [ 72.73 %]\n", + "Total : 0.339467 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23257 1409 290 32 8 2 2 \n", + "1 : 23283 1388 279 26 15 4 5 \n", + "2 : 23297 1366 283 30 11 10 3 \n", + "3 : 23260 1422 279 21 13 4 1 \n", + "\n", + "T : 93097 5585 1131 109 47 20 11 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0465e-02 sec\n", + "--- Collate = 9.9320e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.418251e-04 < 1.562500e-03 [5]\n", + "--- Max DT=3.049412e-01 > 1.000000e-01 [71118]\n", + "----------------------------------------------------------------------\n", + " Component | low: 5/100000\n", + " Component | high: 71118/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=12.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0014005 [ 0.41 %]\n", + "Velocity : 0.00333641 [ 0.97 %]\n", + "Force : 0.0728874 [ 21.17 %]\n", + "Coefs : 0.0153734 [ 4.46 %]\n", + "Output : 0.00140678 [ 0.41 %]\n", + "Levels : 8.1725e-05 [ 0.02 %]\n", + "Report : 2.37e-07 [ 0.00 %]\n", + "Balance : 1.34e-07 [ 0.00 %]\n", + "Adjust : 0.249802 [ 72.55 %]\n", + "Total : 0.344334 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23259 1411 284 35 7 3 1 \n", + "1 : 23285 1386 277 31 11 7 3 \n", + "2 : 23294 1372 284 27 12 5 6 \n", + "3 : 23254 1427 279 26 9 3 2 \n", + "\n", + "T : 93092 5596 1124 119 39 18 12 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0484e-02 sec\n", + "--- Collate = 9.7380e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.215572e-06 < 1.562500e-03 [10]\n", + "--- Max DT=3.049529e-01 > 1.000000e-01 [71140]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71140/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=12.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00144181 [ 0.42 %]\n", + "Velocity : 0.0035495 [ 1.02 %]\n", + "Force : 0.0690853 [ 19.91 %]\n", + "Coefs : 0.0153919 [ 4.44 %]\n", + "Output : 0.00139219 [ 0.40 %]\n", + "Levels : 8.7933e-05 [ 0.03 %]\n", + "Report : 2.26e-07 [ 0.00 %]\n", + "Balance : 1.05e-07 [ 0.00 %]\n", + "Adjust : 0.255914 [ 73.77 %]\n", + "Total : 0.346911 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23258 1418 279 33 7 4 1 \n", + "1 : 23285 1384 280 32 9 6 4 \n", + "2 : 23288 1378 282 28 16 1 7 \n", + "3 : 23252 1426 283 24 9 2 4 \n", + "\n", + "T : 93083 5606 1124 117 41 13 16 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0672e-02 sec\n", + "--- Collate = 9.3270e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.138457e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.049646e-01 > 1.000000e-01 [71137]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71137/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=13] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00150632 [ 0.34 %]\n", + "Velocity : 0.00340302 [ 0.78 %]\n", + "Force : 0.0671762 [ 15.35 %]\n", + "Coefs : 0.0152101 [ 3.47 %]\n", + "Output : 0.0875039 [ 19.99 %]\n", + "Levels : 9.2156e-05 [ 0.02 %]\n", + "Report : 4.88e-07 [ 0.00 %]\n", + "Balance : 2.56e-07 [ 0.00 %]\n", + "Adjust : 0.262774 [ 60.03 %]\n", + "Total : 0.437711 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23259 1418 279 31 8 4 1 \n", + "1 : 23282 1392 276 33 8 3 6 \n", + "2 : 23283 1383 283 30 14 1 6 \n", + "3 : 23248 1433 280 26 2 5 6 \n", + "\n", + "T : 93072 5626 1118 120 32 13 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0455e-02 sec\n", + "--- Collate = 9.4280e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.380804e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.049761e-01 > 1.000000e-01 [71154]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71154/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=13.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00120439 [ 0.33 %]\n", + "Velocity : 0.0115894 [ 3.17 %]\n", + "Force : 0.0693471 [ 18.98 %]\n", + "Coefs : 0.0242145 [ 6.63 %]\n", + "Output : 0.00146616 [ 0.40 %]\n", + "Levels : 8.5806e-05 [ 0.02 %]\n", + "Report : 2.31e-07 [ 0.00 %]\n", + "Balance : 1.11e-07 [ 0.00 %]\n", + "Adjust : 0.257377 [ 70.45 %]\n", + "Total : 0.365332 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23261 1413 283 30 7 2 4 \n", + "1 : 23283 1391 277 32 9 3 5 \n", + "2 : 23282 1381 284 34 12 4 3 \n", + "3 : 23249 1428 286 22 4 7 4 \n", + "\n", + "T : 93075 5613 1130 118 32 16 16 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0303e-02 sec\n", + "--- Collate = 1.0248e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.815280e-04 < 1.562500e-03 [8]\n", + "--- Max DT=3.049876e-01 > 1.000000e-01 [71163]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71163/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=13.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00155752 [ 0.45 %]\n", + "Velocity : 0.00337927 [ 0.98 %]\n", + "Force : 0.0702609 [ 20.45 %]\n", + "Coefs : 0.0170955 [ 4.97 %]\n", + "Output : 0.00135197 [ 0.39 %]\n", + "Levels : 8.8739e-05 [ 0.03 %]\n", + "Report : 2.2e-07 [ 0.00 %]\n", + "Balance : 1.2e-07 [ 0.00 %]\n", + "Adjust : 0.249849 [ 72.71 %]\n", + "Total : 0.343632 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23266 1410 280 29 6 5 4 \n", + "1 : 23286 1386 280 32 6 7 3 \n", + "2 : 23282 1378 287 36 14 3 0 \n", + "3 : 23246 1431 284 21 9 4 5 \n", + "\n", + "T : 93080 5605 1131 118 35 19 12 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0424e-02 sec\n", + "--- Collate = 1.0067e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.501553e-04 < 1.562500e-03 [5]\n", + "--- Max DT=3.049988e-01 > 1.000000e-01 [71165]\n", + "----------------------------------------------------------------------\n", + " Component | low: 5/100000\n", + " Component | high: 71165/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=13.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00140293 [ 0.41 %]\n", + "Velocity : 0.00328286 [ 0.96 %]\n", + "Force : 0.0730651 [ 21.43 %]\n", + "Coefs : 0.0153595 [ 4.50 %]\n", + "Output : 0.00130595 [ 0.38 %]\n", + "Levels : 9.1921e-05 [ 0.03 %]\n", + "Report : 2.55e-07 [ 0.00 %]\n", + "Balance : 4.5e-07 [ 0.00 %]\n", + "Adjust : 0.24644 [ 72.27 %]\n", + "Total : 0.340994 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23269 1407 277 32 6 2 7 \n", + "1 : 23286 1384 283 31 7 8 1 \n", + "2 : 23276 1383 286 37 16 1 1 \n", + "3 : 23245 1435 281 21 8 6 4 \n", + "\n", + "T : 93076 5609 1127 121 37 17 13 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0650e-02 sec\n", + "--- Collate = 9.4460e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.701046e-04 < 1.562500e-03 [8]\n", + "--- Max DT=3.050101e-01 > 1.000000e-01 [71184]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71184/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=13.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00142032 [ 0.42 %]\n", + "Velocity : 0.00333249 [ 0.98 %]\n", + "Force : 0.0672521 [ 19.85 %]\n", + "Coefs : 0.0158936 [ 4.69 %]\n", + "Output : 0.0013088 [ 0.39 %]\n", + "Levels : 8.9212e-05 [ 0.03 %]\n", + "Report : 2.29e-07 [ 0.00 %]\n", + "Balance : 8.6e-08 [ 0.00 %]\n", + "Adjust : 0.249505 [ 73.63 %]\n", + "Total : 0.338847 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23270 1408 276 30 7 4 5 \n", + "1 : 23291 1377 287 30 9 3 3 \n", + "2 : 23278 1381 289 37 11 2 2 \n", + "3 : 23248 1430 283 21 9 5 4 \n", + "\n", + "T : 93087 5596 1135 118 36 14 14 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0440e-02 sec\n", + "--- Collate = 1.0166e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.280879e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.050210e-01 > 1.000000e-01 [71195]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71195/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=13.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00137585 [ 0.40 %]\n", + "Velocity : 0.00319551 [ 0.93 %]\n", + "Force : 0.0662506 [ 19.28 %]\n", + "Coefs : 0.0154464 [ 4.49 %]\n", + "Output : 0.00140297 [ 0.41 %]\n", + "Levels : 8.1468e-05 [ 0.02 %]\n", + "Report : 2.28e-07 [ 0.00 %]\n", + "Balance : 8.8e-08 [ 0.00 %]\n", + "Adjust : 0.255884 [ 74.45 %]\n", + "Total : 0.343684 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23270 1405 274 34 8 3 6 \n", + "1 : 23290 1378 288 30 9 1 4 \n", + "2 : 23278 1380 293 33 11 1 4 \n", + "3 : 23247 1430 283 24 8 2 6 \n", + "\n", + "T : 93085 5593 1138 121 36 7 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0444e-02 sec\n", + "--- Collate = 9.7340e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.959450e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.050319e-01 > 1.000000e-01 [71199]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71199/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=13.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00155144 [ 0.46 %]\n", + "Velocity : 0.00337434 [ 0.99 %]\n", + "Force : 0.069493 [ 20.44 %]\n", + "Coefs : 0.0175828 [ 5.17 %]\n", + "Output : 0.00133579 [ 0.39 %]\n", + "Levels : 8.7651e-05 [ 0.03 %]\n", + "Report : 2.48e-07 [ 0.00 %]\n", + "Balance : 1.08e-07 [ 0.00 %]\n", + "Adjust : 0.246488 [ 72.51 %]\n", + "Total : 0.339958 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23269 1405 276 35 6 5 4 \n", + "1 : 23291 1384 281 30 8 3 3 \n", + "2 : 23273 1392 287 31 12 1 4 \n", + "3 : 23251 1426 286 21 8 4 4 \n", + "\n", + "T : 93084 5607 1130 117 34 13 15 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1281e-02 sec\n", + "--- Collate = 1.7853e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.348246e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.050425e-01 > 1.000000e-01 [71195]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71195/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=13.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00136851 [ 0.40 %]\n", + "Velocity : 0.00320328 [ 0.94 %]\n", + "Force : 0.0727667 [ 21.24 %]\n", + "Coefs : 0.0153435 [ 4.48 %]\n", + "Output : 0.00140851 [ 0.41 %]\n", + "Levels : 0.000119376 [ 0.03 %]\n", + "Report : 2.73e-07 [ 0.00 %]\n", + "Balance : 1.26e-07 [ 0.00 %]\n", + "Adjust : 0.248317 [ 72.49 %]\n", + "Total : 0.342574 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23270 1401 279 35 8 3 4 \n", + "1 : 23295 1380 280 31 8 5 1 \n", + "2 : 23270 1398 285 35 6 2 4 \n", + "3 : 23247 1429 284 24 6 5 5 \n", + "\n", + "T : 93082 5608 1128 125 28 15 14 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.6584e-02 sec\n", + "--- Collate = 9.5440e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.141951e-04 < 1.562500e-03 [6]\n", + "--- Max DT=3.050528e-01 > 1.000000e-01 [71202]\n", + "----------------------------------------------------------------------\n", + " Component | low: 6/100000\n", + " Component | high: 71202/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=13.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00142633 [ 0.39 %]\n", + "Velocity : 0.00377499 [ 1.04 %]\n", + "Force : 0.0694406 [ 19.16 %]\n", + "Coefs : 0.0163727 [ 4.52 %]\n", + "Output : 0.00137014 [ 0.38 %]\n", + "Levels : 8.6093e-05 [ 0.02 %]\n", + "Report : 2.44e-07 [ 0.00 %]\n", + "Balance : 1.37e-07 [ 0.00 %]\n", + "Adjust : 0.270001 [ 74.48 %]\n", + "Total : 0.362519 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23267 1402 288 29 9 2 3 \n", + "1 : 23294 1377 280 34 12 0 3 \n", + "2 : 23268 1398 289 29 8 5 3 \n", + "3 : 23252 1425 284 24 5 6 4 \n", + "\n", + "T : 93081 5602 1141 116 34 13 13 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0544e-02 sec\n", + "--- Collate = 9.7270e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.290350e-04 < 1.562500e-03 [7]\n", + "--- Max DT=3.050627e-01 > 1.000000e-01 [71207]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71207/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=13.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00150571 [ 0.44 %]\n", + "Velocity : 0.00351792 [ 1.03 %]\n", + "Force : 0.0723569 [ 21.15 %]\n", + "Coefs : 0.0153146 [ 4.48 %]\n", + "Output : 0.00131522 [ 0.38 %]\n", + "Levels : 8.0309e-05 [ 0.02 %]\n", + "Report : 2.26e-07 [ 0.00 %]\n", + "Balance : 9.1e-08 [ 0.00 %]\n", + "Adjust : 0.247975 [ 72.48 %]\n", + "Total : 0.342114 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23266 1403 289 29 7 4 2 \n", + "1 : 23293 1375 285 30 12 2 3 \n", + "2 : 23261 1404 287 33 7 3 5 \n", + "3 : 23248 1428 283 25 8 4 4 \n", + "\n", + "T : 93068 5610 1144 117 34 13 14 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0448e-02 sec\n", + "--- Collate = 9.8570e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.749102e-05 < 1.562500e-03 [4]\n", + "--- Max DT=3.050722e-01 > 1.000000e-01 [71214]\n", + "----------------------------------------------------------------------\n", + " Component | low: 4/100000\n", + " Component | high: 71214/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=14] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00135667 [ 0.32 %]\n", + "Velocity : 0.00333998 [ 0.78 %]\n", + "Force : 0.0651799 [ 15.20 %]\n", + "Coefs : 0.0153741 [ 3.59 %]\n", + "Output : 0.0840385 [ 19.60 %]\n", + "Levels : 9.5498e-05 [ 0.02 %]\n", + "Report : 3.09e-07 [ 0.00 %]\n", + "Balance : 2.39e-07 [ 0.00 %]\n", + "Adjust : 0.259344 [ 60.48 %]\n", + "Total : 0.428774 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23268 1397 289 31 9 4 2 \n", + "1 : 23296 1369 289 27 10 6 3 \n", + "2 : 23256 1410 287 33 5 4 5 \n", + "3 : 23252 1424 284 25 8 3 4 \n", + "\n", + "T : 93072 5600 1149 116 32 17 14 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0343e-02 sec\n", + "--- Collate = 1.0102e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.775710e-05 < 1.562500e-03 [6]\n", + "--- Max DT=3.050813e-01 > 1.000000e-01 [71221]\n", + "----------------------------------------------------------------------\n", + " Component | low: 6/100000\n", + " Component | high: 71221/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=14.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00177578 [ 0.45 %]\n", + "Velocity : 0.00428412 [ 1.10 %]\n", + "Force : 0.0863405 [ 22.08 %]\n", + "Coefs : 0.0402369 [ 10.29 %]\n", + "Output : 0.00135667 [ 0.35 %]\n", + "Levels : 8.779e-05 [ 0.02 %]\n", + "Report : 2.19e-07 [ 0.00 %]\n", + "Balance : 1.14e-07 [ 0.00 %]\n", + "Adjust : 0.256836 [ 65.69 %]\n", + "Total : 0.390966 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23266 1400 284 36 9 3 2 \n", + "1 : 23296 1368 288 28 11 5 4 \n", + "2 : 23259 1411 286 26 8 5 5 \n", + "3 : 23249 1427 284 25 7 5 3 \n", + "\n", + "T : 93070 5606 1142 115 35 18 14 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0196e-02 sec\n", + "--- Collate = 9.1240e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.848495e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.050900e-01 > 1.000000e-01 [71222]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71222/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=14.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00144662 [ 0.42 %]\n", + "Velocity : 0.00356525 [ 1.04 %]\n", + "Force : 0.0651002 [ 19.02 %]\n", + "Coefs : 0.0151466 [ 4.43 %]\n", + "Output : 0.00141291 [ 0.41 %]\n", + "Levels : 8.8217e-05 [ 0.03 %]\n", + "Report : 2.33e-07 [ 0.00 %]\n", + "Balance : 1.19e-07 [ 0.00 %]\n", + "Adjust : 0.25538 [ 74.63 %]\n", + "Total : 0.342189 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23261 1407 279 40 6 5 2 \n", + "1 : 23298 1371 283 23 15 4 6 \n", + "2 : 23254 1418 283 26 12 3 4 \n", + "3 : 23246 1429 288 22 8 4 3 \n", + "\n", + "T : 93059 5625 1133 111 41 16 15 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0494e-02 sec\n", + "--- Collate = 9.6220e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.480728e-06 < 1.562500e-03 [7]\n", + "--- Max DT=3.050982e-01 > 1.000000e-01 [71219]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71219/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=14.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0014474 [ 0.42 %]\n", + "Velocity : 0.00342357 [ 0.98 %]\n", + "Force : 0.0709712 [ 20.35 %]\n", + "Coefs : 0.0178817 [ 5.13 %]\n", + "Output : 0.00131416 [ 0.38 %]\n", + "Levels : 8.4201e-05 [ 0.02 %]\n", + "Report : 2.25e-07 [ 0.00 %]\n", + "Balance : 9e-08 [ 0.00 %]\n", + "Adjust : 0.253537 [ 72.71 %]\n", + "Total : 0.348707 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23261 1407 281 35 8 3 5 \n", + "1 : 23296 1375 280 26 12 5 6 \n", + "2 : 23254 1421 280 22 16 5 2 \n", + "3 : 23245 1436 281 25 7 2 4 \n", + "\n", + "T : 93056 5639 1122 108 43 15 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0600e-02 sec\n", + "--- Collate = 1.0083e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.866000e-04 < 1.562500e-03 [7]\n", + "--- Max DT=3.051061e-01 > 1.000000e-01 [71225]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71225/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=14.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0014478 [ 0.42 %]\n", + "Velocity : 0.00324021 [ 0.93 %]\n", + "Force : 0.0743817 [ 21.46 %]\n", + "Coefs : 0.0153863 [ 4.44 %]\n", + "Output : 0.00130103 [ 0.38 %]\n", + "Levels : 9.6855e-05 [ 0.03 %]\n", + "Report : 2.24e-07 [ 0.00 %]\n", + "Balance : 1.2e-07 [ 0.00 %]\n", + "Adjust : 0.250739 [ 72.33 %]\n", + "Total : 0.346639 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23263 1407 278 36 7 2 7 \n", + "1 : 23288 1384 282 24 11 5 6 \n", + "2 : 23261 1413 280 25 13 6 2 \n", + "3 : 23243 1437 280 26 6 5 3 \n", + "\n", + "T : 93055 5641 1120 111 37 18 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0311e-02 sec\n", + "--- Collate = 9.0960e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.967975e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.051133e-01 > 1.000000e-01 [71233]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71233/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=14.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00138624 [ 0.40 %]\n", + "Velocity : 0.00330154 [ 0.95 %]\n", + "Force : 0.0736478 [ 21.26 %]\n", + "Coefs : 0.0155344 [ 4.48 %]\n", + "Output : 0.00134045 [ 0.39 %]\n", + "Levels : 9.0378e-05 [ 0.03 %]\n", + "Report : 2.16e-07 [ 0.00 %]\n", + "Balance : 9.3e-08 [ 0.00 %]\n", + "Adjust : 0.251119 [ 72.48 %]\n", + "Total : 0.346466 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23257 1414 282 30 7 4 6 \n", + "1 : 23282 1389 283 23 8 9 6 \n", + "2 : 23265 1411 277 26 14 3 4 \n", + "3 : 23247 1436 279 20 10 3 5 \n", + "\n", + "T : 93051 5650 1121 99 39 19 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0511e-02 sec\n", + "--- Collate = 1.0052e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.562203e-04 < 1.562500e-03 [11]\n", + "--- Max DT=3.051199e-01 > 1.000000e-01 [71219]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71219/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=14.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0013971 [ 0.40 %]\n", + "Velocity : 0.0033408 [ 0.96 %]\n", + "Force : 0.0710621 [ 20.41 %]\n", + "Coefs : 0.0150645 [ 4.33 %]\n", + "Output : 0.0013753 [ 0.40 %]\n", + "Levels : 9.7533e-05 [ 0.03 %]\n", + "Report : 2.15e-07 [ 0.00 %]\n", + "Balance : 9.2e-08 [ 0.00 %]\n", + "Adjust : 0.255779 [ 73.47 %]\n", + "Total : 0.348164 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23256 1417 281 30 6 6 4 \n", + "1 : 23283 1389 281 24 12 3 8 \n", + "2 : 23264 1413 275 28 11 5 4 \n", + "3 : 23249 1434 279 21 8 5 4 \n", + "\n", + "T : 93052 5653 1116 103 37 19 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0476e-02 sec\n", + "--- Collate = 9.5580e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.115867e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.051261e-01 > 1.000000e-01 [71229]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71229/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=14.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00151315 [ 0.42 %]\n", + "Velocity : 0.00358874 [ 1.00 %]\n", + "Force : 0.0685193 [ 19.03 %]\n", + "Coefs : 0.0156097 [ 4.33 %]\n", + "Output : 0.00150443 [ 0.42 %]\n", + "Levels : 8.8306e-05 [ 0.02 %]\n", + "Report : 2.28e-07 [ 0.00 %]\n", + "Balance : 1.13e-07 [ 0.00 %]\n", + "Adjust : 0.26928 [ 74.77 %]\n", + "Total : 0.360153 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23257 1416 277 30 12 5 3 \n", + "1 : 23285 1383 284 24 13 5 6 \n", + "2 : 23261 1420 271 30 9 4 5 \n", + "3 : 23251 1434 280 17 8 4 6 \n", + "\n", + "T : 93054 5653 1112 101 42 18 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0422e-02 sec\n", + "--- Collate = 9.5040e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.069075e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.051319e-01 > 1.000000e-01 [71230]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71230/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=14.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00136084 [ 0.39 %]\n", + "Velocity : 0.00348523 [ 0.99 %]\n", + "Force : 0.0696606 [ 19.83 %]\n", + "Coefs : 0.0155842 [ 4.44 %]\n", + "Output : 0.00146467 [ 0.42 %]\n", + "Levels : 9.7613e-05 [ 0.03 %]\n", + "Report : 2.19e-07 [ 0.00 %]\n", + "Balance : 1.06e-07 [ 0.00 %]\n", + "Adjust : 0.259535 [ 73.89 %]\n", + "Total : 0.351236 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23260 1412 276 31 15 2 4 \n", + "1 : 23284 1386 280 30 9 7 4 \n", + "2 : 23267 1415 270 31 8 6 3 \n", + "3 : 23252 1432 282 15 6 9 4 \n", + "\n", + "T : 93063 5645 1108 107 38 24 15 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.2820e-02 sec\n", + "--- Collate = 1.0236e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.888818e-05 < 1.562500e-03 [6]\n", + "--- Max DT=3.051374e-01 > 1.000000e-01 [71225]\n", + "----------------------------------------------------------------------\n", + " Component | low: 6/100000\n", + " Component | high: 71225/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=14.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00166806 [ 0.35 %]\n", + "Velocity : 0.00405886 [ 0.85 %]\n", + "Force : 0.0942084 [ 19.82 %]\n", + "Coefs : 0.0174861 [ 3.68 %]\n", + "Output : 0.00186371 [ 0.39 %]\n", + "Levels : 0.000101998 [ 0.02 %]\n", + "Report : 1.65e-07 [ 0.00 %]\n", + "Balance : 1.17e-07 [ 0.00 %]\n", + "Adjust : 0.35578 [ 74.87 %]\n", + "Total : 0.475222 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23256 1414 280 31 10 5 4 \n", + "1 : 23289 1380 282 29 11 7 2 \n", + "2 : 23263 1421 267 29 15 1 4 \n", + "3 : 23254 1433 275 20 6 6 6 \n", + "\n", + "T : 93062 5648 1104 109 42 19 16 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0517e-02 sec\n", + "--- Collate = 1.0042e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.971947e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.051428e-01 > 1.000000e-01 [71227]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71227/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=15] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00164385 [ 0.34 %]\n", + "Velocity : 0.00358964 [ 0.73 %]\n", + "Force : 0.0892523 [ 18.22 %]\n", + "Coefs : 0.0195163 [ 3.98 %]\n", + "Output : 0.0971142 [ 19.82 %]\n", + "Levels : 8.718e-05 [ 0.02 %]\n", + "Report : 2.87e-07 [ 0.00 %]\n", + "Balance : 2.4e-07 [ 0.00 %]\n", + "Adjust : 0.278678 [ 56.88 %]\n", + "Total : 0.489933 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23256 1415 277 32 9 6 5 \n", + "1 : 23290 1378 283 31 10 4 4 \n", + "2 : 23259 1428 265 31 10 4 3 \n", + "3 : 23256 1428 279 20 5 6 6 \n", + "\n", + "T : 93061 5649 1104 114 34 20 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0970e-02 sec\n", + "--- Collate = 1.8839e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.032376e-04 < 1.562500e-03 [11]\n", + "--- Max DT=3.051479e-01 > 1.000000e-01 [71241]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71241/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=15.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00139851 [ 0.38 %]\n", + "Velocity : 0.00418338 [ 1.13 %]\n", + "Force : 0.0684832 [ 18.49 %]\n", + "Coefs : 0.0314022 [ 8.48 %]\n", + "Output : 0.00157941 [ 0.43 %]\n", + "Levels : 8.6622e-05 [ 0.02 %]\n", + "Report : 1.67e-07 [ 0.00 %]\n", + "Balance : 9.2e-08 [ 0.00 %]\n", + "Adjust : 0.263179 [ 71.06 %]\n", + "Total : 0.370362 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23257 1416 277 29 11 4 6 \n", + "1 : 23287 1386 275 37 8 2 5 \n", + "2 : 23255 1433 264 30 11 5 2 \n", + "3 : 23255 1428 281 19 7 4 6 \n", + "\n", + "T : 93054 5663 1097 115 37 15 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1176e-02 sec\n", + "--- Collate = 9.2240e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.141850e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.051527e-01 > 1.000000e-01 [71235]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71235/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=15.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00145923 [ 0.39 %]\n", + "Velocity : 0.00351662 [ 0.95 %]\n", + "Force : 0.074232 [ 20.02 %]\n", + "Coefs : 0.0157009 [ 4.24 %]\n", + "Output : 0.0014464 [ 0.39 %]\n", + "Levels : 8.497e-05 [ 0.02 %]\n", + "Report : 1.53e-07 [ 0.00 %]\n", + "Balance : 8.4e-08 [ 0.00 %]\n", + "Adjust : 0.274228 [ 73.97 %]\n", + "Total : 0.370716 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23257 1418 273 29 10 6 7 \n", + "1 : 23290 1384 276 31 12 2 5 \n", + "2 : 23246 1442 266 31 5 5 5 \n", + "3 : 23248 1434 280 25 5 4 4 \n", + "\n", + "T : 93041 5678 1095 116 32 17 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0660e-02 sec\n", + "--- Collate = 8.9770e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.164363e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.051572e-01 > 1.000000e-01 [71253]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71253/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=15.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00143083 [ 0.41 %]\n", + "Velocity : 0.00345083 [ 0.98 %]\n", + "Force : 0.0738101 [ 20.97 %]\n", + "Coefs : 0.0156903 [ 4.46 %]\n", + "Output : 0.00146166 [ 0.42 %]\n", + "Levels : 8.0307e-05 [ 0.02 %]\n", + "Report : 2.27e-07 [ 0.00 %]\n", + "Balance : 8.4e-08 [ 0.00 %]\n", + "Adjust : 0.255976 [ 72.73 %]\n", + "Total : 0.351947 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23251 1423 273 31 9 7 6 \n", + "1 : 23283 1392 275 33 6 9 2 \n", + "2 : 23248 1439 268 26 9 4 6 \n", + "3 : 23245 1439 276 27 5 5 3 \n", + "\n", + "T : 93027 5693 1092 117 29 25 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0741e-02 sec\n", + "--- Collate = 1.0747e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.183053e-04 < 1.562500e-03 [11]\n", + "--- Max DT=3.051614e-01 > 1.000000e-01 [71256]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71256/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=15.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00142505 [ 0.40 %]\n", + "Velocity : 0.00342833 [ 0.97 %]\n", + "Force : 0.0744267 [ 21.13 %]\n", + "Coefs : 0.0157323 [ 4.47 %]\n", + "Output : 0.00143512 [ 0.41 %]\n", + "Levels : 7.9726e-05 [ 0.02 %]\n", + "Report : 1.59e-07 [ 0.00 %]\n", + "Balance : 1.22e-07 [ 0.00 %]\n", + "Adjust : 0.255684 [ 72.58 %]\n", + "Total : 0.352259 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23247 1423 277 28 9 8 8 \n", + "1 : 23280 1395 273 32 8 7 5 \n", + "2 : 23247 1439 270 23 11 4 6 \n", + "3 : 23251 1434 277 26 5 3 4 \n", + "\n", + "T : 93025 5691 1097 109 33 22 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0542e-02 sec\n", + "--- Collate = 1.0564e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.624985e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.051649e-01 > 1.000000e-01 [71262]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71262/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=15.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00144802 [ 0.41 %]\n", + "Velocity : 0.00331175 [ 0.95 %]\n", + "Force : 0.0744165 [ 21.26 %]\n", + "Coefs : 0.0154983 [ 4.43 %]\n", + "Output : 0.00142907 [ 0.41 %]\n", + "Levels : 9.957e-05 [ 0.03 %]\n", + "Report : 1.58e-07 [ 0.00 %]\n", + "Balance : 1.1e-07 [ 0.00 %]\n", + "Adjust : 0.253705 [ 72.50 %]\n", + "Total : 0.349957 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23246 1425 272 31 11 8 7 \n", + "1 : 23284 1394 270 31 12 3 6 \n", + "2 : 23244 1443 273 14 16 8 2 \n", + "3 : 23256 1430 275 25 9 1 4 \n", + "\n", + "T : 93030 5692 1090 101 48 20 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0469e-02 sec\n", + "--- Collate = 1.0217e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.836602e-04 < 1.562500e-03 [7]\n", + "--- Max DT=3.051680e-01 > 1.000000e-01 [71271]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71271/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=15.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00141598 [ 0.40 %]\n", + "Velocity : 0.00331743 [ 0.93 %]\n", + "Force : 0.0784958 [ 21.98 %]\n", + "Coefs : 0.0155262 [ 4.35 %]\n", + "Output : 0.00145095 [ 0.41 %]\n", + "Levels : 8.0338e-05 [ 0.02 %]\n", + "Report : 1.67e-07 [ 0.00 %]\n", + "Balance : 1.17e-07 [ 0.00 %]\n", + "Adjust : 0.256771 [ 71.90 %]\n", + "Total : 0.357102 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23243 1426 275 34 7 7 8 \n", + "1 : 23284 1392 270 35 10 4 5 \n", + "2 : 23251 1435 273 15 15 7 4 \n", + "3 : 23251 1436 277 22 8 3 3 \n", + "\n", + "T : 93029 5689 1095 106 40 21 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0502e-02 sec\n", + "--- Collate = 9.6120e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.196088e-04 < 1.562500e-03 [11]\n", + "--- Max DT=3.051705e-01 > 1.000000e-01 [71287]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71287/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=15.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00146438 [ 0.42 %]\n", + "Velocity : 0.00348458 [ 0.99 %]\n", + "Force : 0.0754437 [ 21.49 %]\n", + "Coefs : 0.0155517 [ 4.43 %]\n", + "Output : 0.00146189 [ 0.42 %]\n", + "Levels : 7.749e-05 [ 0.02 %]\n", + "Report : 1.7e-07 [ 0.00 %]\n", + "Balance : 1.19e-07 [ 0.00 %]\n", + "Adjust : 0.253549 [ 72.22 %]\n", + "Total : 0.351079 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23244 1422 277 35 7 8 7 \n", + "1 : 23285 1396 265 35 10 6 3 \n", + "2 : 23252 1433 272 17 12 9 5 \n", + "3 : 23259 1425 279 22 8 3 4 \n", + "\n", + "T : 93040 5676 1093 109 37 26 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0408e-02 sec\n", + "--- Collate = 9.0610e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.287946e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.051723e-01 > 1.000000e-01 [71305]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71305/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=15.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00144749 [ 0.40 %]\n", + "Velocity : 0.0035824 [ 0.99 %]\n", + "Force : 0.077857 [ 21.44 %]\n", + "Coefs : 0.0157258 [ 4.33 %]\n", + "Output : 0.00144387 [ 0.40 %]\n", + "Levels : 8.7747e-05 [ 0.02 %]\n", + "Report : 2.12e-07 [ 0.00 %]\n", + "Balance : 1.19e-07 [ 0.00 %]\n", + "Adjust : 0.262948 [ 72.41 %]\n", + "Total : 0.36314 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23243 1424 275 34 12 4 8 \n", + "1 : 23288 1394 265 34 13 4 2 \n", + "2 : 23251 1434 268 21 9 10 7 \n", + "3 : 23259 1423 282 20 6 6 4 \n", + "\n", + "T : 93041 5675 1090 109 40 24 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0377e-02 sec\n", + "--- Collate = 9.6120e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.169546e-04 < 1.562500e-03 [7]\n", + "--- Max DT=3.051735e-01 > 1.000000e-01 [71310]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71310/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=15.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00147815 [ 0.40 %]\n", + "Velocity : 0.00347013 [ 0.94 %]\n", + "Force : 0.0817377 [ 22.23 %]\n", + "Coefs : 0.0157133 [ 4.27 %]\n", + "Output : 0.00143922 [ 0.39 %]\n", + "Levels : 9.4241e-05 [ 0.03 %]\n", + "Report : 1.33e-07 [ 0.00 %]\n", + "Balance : 1.16e-07 [ 0.00 %]\n", + "Adjust : 0.263733 [ 71.72 %]\n", + "Total : 0.367712 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23245 1420 280 28 15 5 7 \n", + "1 : 23291 1391 266 33 15 2 2 \n", + "2 : 23251 1433 267 23 10 8 8 \n", + "3 : 23262 1423 278 20 6 7 4 \n", + "\n", + "T : 93049 5667 1091 104 46 22 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.6927e-02 sec\n", + "--- Collate = 1.1050e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.881725e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.051741e-01 > 1.000000e-01 [71325]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71325/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=16] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00155207 [ 0.24 %]\n", + "Velocity : 0.00410029 [ 0.65 %]\n", + "Force : 0.10678 [ 16.82 %]\n", + "Coefs : 0.025578 [ 4.03 %]\n", + "Output : 0.117351 [ 18.49 %]\n", + "Levels : 9.6119e-05 [ 0.02 %]\n", + "Report : 2.63e-07 [ 0.00 %]\n", + "Balance : 2.74e-07 [ 0.00 %]\n", + "Adjust : 0.379167 [ 59.74 %]\n", + "Total : 0.634686 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23243 1422 280 30 13 7 5 \n", + "1 : 23291 1391 269 32 12 5 0 \n", + "2 : 23256 1431 264 24 9 7 9 \n", + "3 : 23262 1422 279 19 8 5 5 \n", + "\n", + "T : 93052 5666 1092 105 42 24 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 2.0181e-02 sec\n", + "--- Collate = 1.3519e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.670650e-06 < 1.562500e-03 [12]\n", + "--- Max DT=3.051739e-01 > 1.000000e-01 [71340]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71340/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=16.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00149024 [ 0.28 %]\n", + "Velocity : 0.00483819 [ 0.90 %]\n", + "Force : 0.108408 [ 20.26 %]\n", + "Coefs : 0.0347631 [ 6.50 %]\n", + "Output : 0.00193388 [ 0.36 %]\n", + "Levels : 0.000125337 [ 0.02 %]\n", + "Report : 1.81e-07 [ 0.00 %]\n", + "Balance : 1.22e-07 [ 0.00 %]\n", + "Adjust : 0.383379 [ 71.66 %]\n", + "Total : 0.535003 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23243 1419 282 34 10 6 6 \n", + "1 : 23280 1402 270 31 12 2 3 \n", + "2 : 23256 1431 262 23 16 3 9 \n", + "3 : 23264 1418 278 24 5 6 5 \n", + "\n", + "T : 93043 5670 1092 112 43 17 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 2.0137e-02 sec\n", + "--- Collate = 1.4518e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.780710e-07 < 1.562500e-03 [14]\n", + "--- Max DT=3.051733e-01 > 1.000000e-01 [71334]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71334/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=16.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00216558 [ 0.39 %]\n", + "Velocity : 0.00527976 [ 0.95 %]\n", + "Force : 0.1172 [ 20.98 %]\n", + "Coefs : 0.0298466 [ 5.34 %]\n", + "Output : 0.00197104 [ 0.35 %]\n", + "Levels : 0.000133975 [ 0.02 %]\n", + "Report : 1.81e-07 [ 0.00 %]\n", + "Balance : 1.14e-07 [ 0.00 %]\n", + "Adjust : 0.402018 [ 71.96 %]\n", + "Total : 0.558682 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23241 1426 278 35 10 2 8 \n", + "1 : 23275 1402 272 36 7 4 4 \n", + "2 : 23253 1433 262 25 14 6 7 \n", + "3 : 23265 1417 277 26 5 5 5 \n", + "\n", + "T : 93034 5678 1089 122 36 17 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 2.0032e-02 sec\n", + "--- Collate = 1.4146e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.502432e-04 < 1.562500e-03 [14]\n", + "--- Max DT=3.051723e-01 > 1.000000e-01 [71337]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71337/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=16.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00240899 [ 0.41 %]\n", + "Velocity : 0.00525002 [ 0.90 %]\n", + "Force : 0.119702 [ 20.57 %]\n", + "Coefs : 0.0296294 [ 5.09 %]\n", + "Output : 0.00231005 [ 0.40 %]\n", + "Levels : 0.00011616 [ 0.02 %]\n", + "Report : 2.04e-07 [ 0.00 %]\n", + "Balance : 1.72e-07 [ 0.00 %]\n", + "Adjust : 0.422457 [ 72.59 %]\n", + "Total : 0.581943 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23237 1433 275 29 14 4 8 \n", + "1 : 23271 1406 275 30 10 3 5 \n", + "2 : 23253 1432 264 29 9 8 5 \n", + "3 : 23270 1411 279 25 7 3 5 \n", + "\n", + "T : 93031 5682 1093 113 40 18 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.8653e-02 sec\n", + "--- Collate = 1.2649e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.938363e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.051709e-01 > 1.000000e-01 [71342]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71342/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=16.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00207951 [ 0.39 %]\n", + "Velocity : 0.00522306 [ 0.99 %]\n", + "Force : 0.109598 [ 20.71 %]\n", + "Coefs : 0.0285364 [ 5.39 %]\n", + "Output : 0.00196817 [ 0.37 %]\n", + "Levels : 0.000113366 [ 0.02 %]\n", + "Report : 4.54e-07 [ 0.00 %]\n", + "Balance : 1.3e-07 [ 0.00 %]\n", + "Adjust : 0.381558 [ 72.11 %]\n", + "Total : 0.529143 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23239 1431 275 32 10 7 6 \n", + "1 : 23272 1403 277 33 7 5 3 \n", + "2 : 23251 1433 269 24 12 4 7 \n", + "3 : 23270 1406 283 25 8 5 3 \n", + "\n", + "T : 93032 5673 1104 114 37 21 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.8557e-02 sec\n", + "--- Collate = 1.1922e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.247604e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.051694e-01 > 1.000000e-01 [71334]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71334/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=16.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00179208 [ 0.35 %]\n", + "Velocity : 0.00452022 [ 0.88 %]\n", + "Force : 0.109132 [ 21.36 %]\n", + "Coefs : 0.0263625 [ 5.16 %]\n", + "Output : 0.00158316 [ 0.31 %]\n", + "Levels : 0.000106915 [ 0.02 %]\n", + "Report : 1.9e-07 [ 0.00 %]\n", + "Balance : 1.18e-07 [ 0.00 %]\n", + "Adjust : 0.367398 [ 71.90 %]\n", + "Total : 0.510954 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23236 1434 274 35 8 7 6 \n", + "1 : 23274 1401 278 28 10 6 3 \n", + "2 : 23246 1440 264 26 14 2 8 \n", + "3 : 23267 1407 283 27 9 3 4 \n", + "\n", + "T : 93023 5682 1099 116 41 18 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.4194e-02 sec\n", + "--- Collate = 1.4396e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.855970e-04 < 1.562500e-03 [10]\n", + "--- Max DT=3.051676e-01 > 1.000000e-01 [71352]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71352/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=16.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0019474 [ 0.38 %]\n", + "Velocity : 0.00479031 [ 0.92 %]\n", + "Force : 0.112889 [ 21.75 %]\n", + "Coefs : 0.0267555 [ 5.15 %]\n", + "Output : 0.00198527 [ 0.38 %]\n", + "Levels : 0.000122162 [ 0.02 %]\n", + "Report : 2.72e-07 [ 0.00 %]\n", + "Balance : 1.46e-07 [ 0.00 %]\n", + "Adjust : 0.370577 [ 71.38 %]\n", + "Total : 0.51913 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23233 1439 271 36 10 7 4 \n", + "1 : 23270 1405 276 31 12 2 4 \n", + "2 : 23247 1438 266 24 14 4 7 \n", + "3 : 23258 1415 285 24 9 6 3 \n", + "\n", + "T : 93008 5697 1098 115 45 19 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0758e-02 sec\n", + "--- Collate = 1.0268e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.436064e-04 < 1.562500e-03 [7]\n", + "--- Max DT=3.051655e-01 > 1.000000e-01 [71352]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71352/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=16.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00163761 [ 0.38 %]\n", + "Velocity : 0.0041817 [ 0.96 %]\n", + "Force : 0.0898842 [ 20.66 %]\n", + "Coefs : 0.0209435 [ 4.81 %]\n", + "Output : 0.00192766 [ 0.44 %]\n", + "Levels : 8.7061e-05 [ 0.02 %]\n", + "Report : 2.46e-07 [ 0.00 %]\n", + "Balance : 1.47e-07 [ 0.00 %]\n", + "Adjust : 0.316371 [ 72.71 %]\n", + "Total : 0.435085 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23223 1449 269 37 14 5 3 \n", + "1 : 23269 1408 271 31 11 5 5 \n", + "2 : 23246 1436 273 22 10 10 3 \n", + "3 : 23256 1415 287 22 11 4 5 \n", + "\n", + "T : 92994 5708 1100 112 46 24 16 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.4305e-02 sec\n", + "--- Collate = 1.4772e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.145597e-06 < 1.562500e-03 [10]\n", + "--- Max DT=3.051631e-01 > 1.000000e-01 [71356]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71356/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=16.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00161579 [ 0.37 %]\n", + "Velocity : 0.00398175 [ 0.91 %]\n", + "Force : 0.0900894 [ 20.61 %]\n", + "Coefs : 0.0174428 [ 3.99 %]\n", + "Output : 0.00194427 [ 0.44 %]\n", + "Levels : 9.9232e-05 [ 0.02 %]\n", + "Report : 2.24e-07 [ 0.00 %]\n", + "Balance : 1.38e-07 [ 0.00 %]\n", + "Adjust : 0.321947 [ 73.64 %]\n", + "Total : 0.437174 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23222 1451 271 35 14 6 1 \n", + "1 : 23268 1409 270 31 10 5 7 \n", + "2 : 23246 1436 273 21 15 5 4 \n", + "3 : 23259 1413 287 22 12 3 4 \n", + "\n", + "T : 92995 5709 1101 109 51 19 16 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0761e-02 sec\n", + "--- Collate = 1.2932e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.768078e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.051606e-01 > 1.000000e-01 [71353]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71353/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=16.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00221286 [ 0.54 %]\n", + "Velocity : 0.00395952 [ 0.96 %]\n", + "Force : 0.0824815 [ 20.00 %]\n", + "Coefs : 0.0200538 [ 4.86 %]\n", + "Output : 0.00188715 [ 0.46 %]\n", + "Levels : 9.694e-05 [ 0.02 %]\n", + "Report : 1.67e-07 [ 0.00 %]\n", + "Balance : 1.15e-07 [ 0.00 %]\n", + "Adjust : 0.301683 [ 73.15 %]\n", + "Total : 0.41243 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23222 1447 272 41 11 5 2 \n", + "1 : 23267 1409 271 32 7 6 8 \n", + "2 : 23246 1435 272 26 10 7 4 \n", + "3 : 23260 1409 287 24 13 4 3 \n", + "\n", + "T : 92995 5700 1102 123 41 22 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0625e-02 sec\n", + "--- Collate = 9.8190e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.935490e-04 < 1.562500e-03 [6]\n", + "--- Max DT=3.051577e-01 > 1.000000e-01 [71341]\n", + "----------------------------------------------------------------------\n", + " Component | low: 6/100000\n", + " Component | high: 71341/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=17] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00156317 [ 0.36 %]\n", + "Velocity : 0.00343429 [ 0.79 %]\n", + "Force : 0.0743465 [ 17.06 %]\n", + "Coefs : 0.016108 [ 3.70 %]\n", + "Output : 0.0813941 [ 18.68 %]\n", + "Levels : 9.3842e-05 [ 0.02 %]\n", + "Report : 2.16e-07 [ 0.00 %]\n", + "Balance : 2.08e-07 [ 0.00 %]\n", + "Adjust : 0.258742 [ 59.38 %]\n", + "Total : 0.43573 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23219 1453 270 40 11 4 3 \n", + "1 : 23269 1410 266 31 10 7 7 \n", + "2 : 23239 1439 277 24 10 5 6 \n", + "3 : 23260 1410 284 28 8 8 2 \n", + "\n", + "T : 92987 5712 1097 123 39 24 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0742e-02 sec\n", + "--- Collate = 1.0181e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.361944e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.051544e-01 > 1.000000e-01 [71325]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71325/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=17.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00235576 [ 0.50 %]\n", + "Velocity : 0.00477074 [ 1.01 %]\n", + "Force : 0.0983921 [ 20.87 %]\n", + "Coefs : 0.0422799 [ 8.97 %]\n", + "Output : 0.0019179 [ 0.41 %]\n", + "Levels : 8.075e-05 [ 0.02 %]\n", + "Report : 1.53e-07 [ 0.00 %]\n", + "Balance : 6.5e-08 [ 0.00 %]\n", + "Adjust : 0.32163 [ 68.22 %]\n", + "Total : 0.471478 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23215 1456 274 34 10 7 4 \n", + "1 : 23267 1409 266 34 11 6 7 \n", + "2 : 23240 1440 274 28 8 5 5 \n", + "3 : 23258 1413 283 31 5 6 4 \n", + "\n", + "T : 92980 5718 1097 127 34 24 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.4767e-02 sec\n", + "--- Collate = 2.3401e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.154876e-06 < 1.562500e-03 [14]\n", + "--- Max DT=3.051509e-01 > 1.000000e-01 [71330]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71330/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=17.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00150248 [ 0.36 %]\n", + "Velocity : 0.00391206 [ 0.95 %]\n", + "Force : 0.0785496 [ 18.99 %]\n", + "Coefs : 0.0166339 [ 4.02 %]\n", + "Output : 0.00197568 [ 0.48 %]\n", + "Levels : 9.3953e-05 [ 0.02 %]\n", + "Report : 1.74e-07 [ 0.00 %]\n", + "Balance : 7.8e-08 [ 0.00 %]\n", + "Adjust : 0.310862 [ 75.16 %]\n", + "Total : 0.413582 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23218 1455 270 35 12 5 5 \n", + "1 : 23264 1410 272 28 15 5 6 \n", + "2 : 23240 1439 278 22 11 3 7 \n", + "3 : 23266 1408 282 29 8 1 6 \n", + "\n", + "T : 92988 5712 1102 114 46 14 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0505e-02 sec\n", + "--- Collate = 9.3070e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.530073e-06 < 1.562500e-03 [11]\n", + "--- Max DT=3.051470e-01 > 1.000000e-01 [71323]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71323/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=17.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00182588 [ 0.47 %]\n", + "Velocity : 0.00457205 [ 1.17 %]\n", + "Force : 0.0875304 [ 22.43 %]\n", + "Coefs : 0.0244569 [ 6.27 %]\n", + "Output : 0.00154873 [ 0.40 %]\n", + "Levels : 9.2497e-05 [ 0.02 %]\n", + "Report : 1.56e-07 [ 0.00 %]\n", + "Balance : 8.9e-08 [ 0.00 %]\n", + "Adjust : 0.27017 [ 69.23 %]\n", + "Total : 0.390248 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23216 1454 275 33 7 8 7 \n", + "1 : 23270 1403 270 31 14 6 6 \n", + "2 : 23241 1436 278 25 10 5 5 \n", + "3 : 23269 1403 278 32 11 2 5 \n", + "\n", + "T : 92996 5696 1101 121 42 21 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.2530e-02 sec\n", + "--- Collate = 1.0310e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.390802e-04 < 1.562500e-03 [7]\n", + "--- Max DT=3.051425e-01 > 1.000000e-01 [71321]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71321/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=17.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00181629 [ 0.43 %]\n", + "Velocity : 0.00483534 [ 1.15 %]\n", + "Force : 0.0774483 [ 18.48 %]\n", + "Coefs : 0.0168773 [ 4.03 %]\n", + "Output : 0.00197801 [ 0.47 %]\n", + "Levels : 8.6033e-05 [ 0.02 %]\n", + "Report : 4.3e-08 [ 0.00 %]\n", + "Balance : 1.09e-07 [ 0.00 %]\n", + "Adjust : 0.315955 [ 75.40 %]\n", + "Total : 0.419049 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23219 1451 275 34 7 5 9 \n", + "1 : 23274 1397 271 33 13 5 7 \n", + "2 : 23234 1444 277 25 11 6 3 \n", + "3 : 23274 1397 277 34 11 5 2 \n", + "\n", + "T : 93001 5689 1100 126 42 21 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0691e-02 sec\n", + "--- Collate = 9.9940e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.329572e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.051375e-01 > 1.000000e-01 [71336]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71336/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=17.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00247766 [ 0.63 %]\n", + "Velocity : 0.00468221 [ 1.18 %]\n", + "Force : 0.0862585 [ 21.82 %]\n", + "Coefs : 0.0179597 [ 4.54 %]\n", + "Output : 0.001479 [ 0.37 %]\n", + "Levels : 9.1919e-05 [ 0.02 %]\n", + "Report : 1.59e-07 [ 0.00 %]\n", + "Balance : 1.02e-07 [ 0.00 %]\n", + "Adjust : 0.282269 [ 71.41 %]\n", + "Total : 0.395269 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23220 1448 277 31 11 3 10 \n", + "1 : 23274 1395 271 35 11 5 9 \n", + "2 : 23237 1438 282 24 9 8 2 \n", + "3 : 23270 1403 275 33 13 6 0 \n", + "\n", + "T : 93001 5684 1105 123 44 22 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.6257e-02 sec\n", + "--- Collate = 1.0942e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.523267e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.051317e-01 > 1.000000e-01 [71331]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71331/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=17.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00145127 [ 0.35 %]\n", + "Velocity : 0.00384057 [ 0.92 %]\n", + "Force : 0.0758493 [ 18.23 %]\n", + "Coefs : 0.0164015 [ 3.94 %]\n", + "Output : 0.00198249 [ 0.48 %]\n", + "Levels : 0.000105896 [ 0.03 %]\n", + "Report : 1.8e-07 [ 0.00 %]\n", + "Balance : 1.33e-07 [ 0.00 %]\n", + "Adjust : 0.316437 [ 76.04 %]\n", + "Total : 0.416123 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23222 1446 277 31 10 5 9 \n", + "1 : 23272 1401 268 36 6 5 12 \n", + "2 : 23240 1434 281 25 15 1 4 \n", + "3 : 23263 1412 274 30 13 4 4 \n", + "\n", + "T : 92997 5693 1100 122 44 15 29 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1222e-02 sec\n", + "--- Collate = 9.6330e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.361897e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.051254e-01 > 1.000000e-01 [71321]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71321/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=17.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00144366 [ 0.37 %]\n", + "Velocity : 0.00414046 [ 1.07 %]\n", + "Force : 0.0826871 [ 21.45 %]\n", + "Coefs : 0.0182916 [ 4.75 %]\n", + "Output : 0.00171026 [ 0.44 %]\n", + "Levels : 9.1489e-05 [ 0.02 %]\n", + "Report : 1.55e-07 [ 0.00 %]\n", + "Balance : 8.6e-08 [ 0.00 %]\n", + "Adjust : 0.277059 [ 71.87 %]\n", + "Total : 0.385475 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23226 1442 281 27 12 7 5 \n", + "1 : 23277 1395 268 34 10 7 9 \n", + "2 : 23237 1434 285 25 14 2 3 \n", + "3 : 23261 1410 282 28 11 3 5 \n", + "\n", + "T : 93001 5681 1116 114 47 19 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.7980e-02 sec\n", + "--- Collate = 1.1786e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.138473e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.051183e-01 > 1.000000e-01 [71311]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71311/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=17.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00152424 [ 0.36 %]\n", + "Velocity : 0.00447228 [ 1.04 %]\n", + "Force : 0.0797289 [ 18.59 %]\n", + "Coefs : 0.0184336 [ 4.30 %]\n", + "Output : 0.00200118 [ 0.47 %]\n", + "Levels : 0.000117593 [ 0.03 %]\n", + "Report : 1.81e-07 [ 0.00 %]\n", + "Balance : 2.02e-07 [ 0.00 %]\n", + "Adjust : 0.322661 [ 75.21 %]\n", + "Total : 0.428993 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23230 1441 275 31 14 6 3 \n", + "1 : 23285 1383 270 38 11 6 7 \n", + "2 : 23237 1433 286 25 14 2 3 \n", + "3 : 23261 1412 280 25 11 5 6 \n", + "\n", + "T : 93013 5669 1111 119 50 19 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0984e-02 sec\n", + "--- Collate = 9.7780e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.035211e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.051106e-01 > 1.000000e-01 [71311]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71311/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=17.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00143101 [ 0.36 %]\n", + "Velocity : 0.0040453 [ 1.02 %]\n", + "Force : 0.084471 [ 21.29 %]\n", + "Coefs : 0.0198407 [ 5.00 %]\n", + "Output : 0.00178815 [ 0.45 %]\n", + "Levels : 9.0154e-05 [ 0.02 %]\n", + "Report : 1.66e-07 [ 0.00 %]\n", + "Balance : 1.26e-07 [ 0.00 %]\n", + "Adjust : 0.284992 [ 71.84 %]\n", + "Total : 0.396713 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23232 1436 278 32 16 2 4 \n", + "1 : 23283 1389 267 37 11 8 5 \n", + "2 : 23237 1432 286 31 9 2 3 \n", + "3 : 23261 1412 280 29 9 6 3 \n", + "\n", + "T : 93013 5669 1111 129 45 18 15 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.3966e-02 sec\n", + "--- Collate = 1.2029e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.281985e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.051024e-01 > 1.000000e-01 [71329]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71329/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=18] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00152487 [ 0.31 %]\n", + "Velocity : 0.00385216 [ 0.78 %]\n", + "Force : 0.0805467 [ 16.33 %]\n", + "Coefs : 0.0169625 [ 3.44 %]\n", + "Output : 0.0745116 [ 15.11 %]\n", + "Levels : 0.000101312 [ 0.02 %]\n", + "Report : 2.94e-07 [ 0.00 %]\n", + "Balance : 2.23e-07 [ 0.00 %]\n", + "Adjust : 0.31557 [ 63.99 %]\n", + "Total : 0.493124 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23230 1435 283 33 8 7 4 \n", + "1 : 23285 1387 269 34 12 9 4 \n", + "2 : 23242 1423 292 28 8 5 2 \n", + "3 : 23263 1411 279 30 7 5 5 \n", + "\n", + "T : 93020 5656 1123 125 35 26 15 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0807e-02 sec\n", + "--- Collate = 8.9910e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.824869e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.050939e-01 > 1.000000e-01 [71335]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71335/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=18.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0049193 [ 1.10 %]\n", + "Velocity : 0.0256339 [ 5.74 %]\n", + "Force : 0.0888901 [ 19.91 %]\n", + "Coefs : 0.0423488 [ 9.49 %]\n", + "Output : 0.00163666 [ 0.37 %]\n", + "Levels : 0.00010949 [ 0.02 %]\n", + "Report : 4.5e-08 [ 0.00 %]\n", + "Balance : 1.41e-07 [ 0.00 %]\n", + "Adjust : 0.282884 [ 63.36 %]\n", + "Total : 0.44647 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23229 1434 282 35 9 3 8 \n", + "1 : 23289 1385 268 36 11 4 7 \n", + "2 : 23246 1421 292 29 7 1 4 \n", + "3 : 23264 1412 279 24 12 4 5 \n", + "\n", + "T : 93028 5652 1121 124 39 12 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.7838e-02 sec\n", + "--- Collate = 1.1052e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.397964e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.050852e-01 > 1.000000e-01 [71340]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71340/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=18.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00154613 [ 0.36 %]\n", + "Velocity : 0.00457273 [ 1.06 %]\n", + "Force : 0.0840071 [ 19.55 %]\n", + "Coefs : 0.0166439 [ 3.87 %]\n", + "Output : 0.00206848 [ 0.48 %]\n", + "Levels : 9.9142e-05 [ 0.02 %]\n", + "Report : 1.56e-07 [ 0.00 %]\n", + "Balance : 1.74e-07 [ 0.00 %]\n", + "Adjust : 0.320695 [ 74.63 %]\n", + "Total : 0.429687 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23234 1430 276 42 6 5 7 \n", + "1 : 23293 1380 267 37 12 5 6 \n", + "2 : 23248 1423 286 29 8 3 3 \n", + "3 : 23265 1410 278 25 15 0 7 \n", + "\n", + "T : 93040 5643 1107 133 41 13 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0661e-02 sec\n", + "--- Collate = 9.3620e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.575415e-04 < 1.562500e-03 [11]\n", + "--- Max DT=3.050764e-01 > 1.000000e-01 [71347]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71347/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=18.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00158322 [ 0.39 %]\n", + "Velocity : 0.00439274 [ 1.09 %]\n", + "Force : 0.0808141 [ 20.11 %]\n", + "Coefs : 0.0264347 [ 6.58 %]\n", + "Output : 0.00180233 [ 0.45 %]\n", + "Levels : 9.1888e-05 [ 0.02 %]\n", + "Report : 1.49e-07 [ 0.00 %]\n", + "Balance : 1.44e-07 [ 0.00 %]\n", + "Adjust : 0.286614 [ 71.34 %]\n", + "Total : 0.401785 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23235 1426 283 39 5 4 8 \n", + "1 : 23290 1381 270 37 10 4 8 \n", + "2 : 23246 1427 284 27 9 3 4 \n", + "3 : 23268 1405 284 21 10 8 4 \n", + "\n", + "T : 93039 5639 1121 124 34 19 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0974e-02 sec\n", + "--- Collate = 9.7530e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.068413e-06 < 1.562500e-03 [8]\n", + "--- Max DT=3.050673e-01 > 1.000000e-01 [71342]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71342/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=18.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00149809 [ 0.42 %]\n", + "Velocity : 0.00356924 [ 1.00 %]\n", + "Force : 0.0693428 [ 19.52 %]\n", + "Coefs : 0.0230105 [ 6.48 %]\n", + "Output : 0.00150252 [ 0.42 %]\n", + "Levels : 0.000108504 [ 0.03 %]\n", + "Report : 1.74e-07 [ 0.00 %]\n", + "Balance : 7.9e-08 [ 0.00 %]\n", + "Adjust : 0.256236 [ 72.12 %]\n", + "Total : 0.355315 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23238 1425 283 36 8 5 5 \n", + "1 : 23289 1382 272 38 5 8 6 \n", + "2 : 23244 1427 287 26 10 5 1 \n", + "3 : 23268 1405 281 24 12 2 8 \n", + "\n", + "T : 93039 5639 1123 124 35 20 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.2451e-02 sec\n", + "--- Collate = 1.0174e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.652187e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.050581e-01 > 1.000000e-01 [71371]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71371/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=18.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00172764 [ 0.40 %]\n", + "Velocity : 0.00388585 [ 0.90 %]\n", + "Force : 0.0798868 [ 18.56 %]\n", + "Coefs : 0.0256781 [ 5.97 %]\n", + "Output : 0.00208209 [ 0.48 %]\n", + "Levels : 8.2765e-05 [ 0.02 %]\n", + "Report : 1.44e-07 [ 0.00 %]\n", + "Balance : 1.44e-07 [ 0.00 %]\n", + "Adjust : 0.317019 [ 73.65 %]\n", + "Total : 0.430418 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23239 1425 282 36 10 3 5 \n", + "1 : 23286 1387 263 40 10 8 6 \n", + "2 : 23245 1426 288 25 11 3 2 \n", + "3 : 23273 1398 279 25 10 9 6 \n", + "\n", + "T : 93043 5636 1112 126 41 23 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1970e-02 sec\n", + "--- Collate = 1.0244e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.364680e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.050484e-01 > 1.000000e-01 [71358]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71358/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=18.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00149703 [ 0.37 %]\n", + "Velocity : 0.00432597 [ 1.07 %]\n", + "Force : 0.0824612 [ 20.47 %]\n", + "Coefs : 0.0175818 [ 4.36 %]\n", + "Output : 0.00198194 [ 0.49 %]\n", + "Levels : 9.5811e-05 [ 0.02 %]\n", + "Report : 4.06e-07 [ 0.00 %]\n", + "Balance : 1.34e-07 [ 0.00 %]\n", + "Adjust : 0.294913 [ 73.19 %]\n", + "Total : 0.40292 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23242 1421 287 31 11 6 2 \n", + "1 : 23286 1385 270 34 11 9 5 \n", + "2 : 23242 1430 288 25 9 3 3 \n", + "3 : 23268 1404 278 25 10 3 12 \n", + "\n", + "T : 93038 5640 1123 115 41 21 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1526e-02 sec\n", + "--- Collate = 1.2381e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.020490e-04 < 1.562500e-03 [13]\n", + "--- Max DT=3.050386e-01 > 1.000000e-01 [71341]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71341/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=18.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0016539 [ 0.35 %]\n", + "Velocity : 0.00484544 [ 1.04 %]\n", + "Force : 0.097475 [ 20.82 %]\n", + "Coefs : 0.0235797 [ 5.04 %]\n", + "Output : 0.00201682 [ 0.43 %]\n", + "Levels : 0.000110038 [ 0.02 %]\n", + "Report : 2.75e-07 [ 0.00 %]\n", + "Balance : 1.51e-07 [ 0.00 %]\n", + "Adjust : 0.338369 [ 72.28 %]\n", + "Total : 0.468108 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23242 1421 285 31 14 4 3 \n", + "1 : 23292 1374 277 34 12 5 6 \n", + "2 : 23239 1430 286 30 9 2 4 \n", + "3 : 23263 1410 278 22 11 6 10 \n", + "\n", + "T : 93036 5635 1126 117 46 17 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.5331e-02 sec\n", + "--- Collate = 1.0069e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.889383e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.050285e-01 > 1.000000e-01 [71340]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71340/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=18.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00219667 [ 0.46 %]\n", + "Velocity : 0.00494354 [ 1.04 %]\n", + "Force : 0.102373 [ 21.50 %]\n", + "Coefs : 0.0191343 [ 4.02 %]\n", + "Output : 0.00208315 [ 0.44 %]\n", + "Levels : 0.000113462 [ 0.02 %]\n", + "Report : 5.06e-07 [ 0.00 %]\n", + "Balance : 9.1e-08 [ 0.00 %]\n", + "Adjust : 0.345208 [ 72.51 %]\n", + "Total : 0.476112 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23240 1422 288 31 13 2 4 \n", + "1 : 23288 1378 280 32 9 8 5 \n", + "2 : 23239 1429 286 31 9 2 4 \n", + "3 : 23262 1410 282 24 7 5 10 \n", + "\n", + "T : 93029 5639 1136 118 38 17 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.7686e-02 sec\n", + "--- Collate = 1.2863e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.286567e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.050180e-01 > 1.000000e-01 [71323]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71323/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=18.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0016695 [ 0.39 %]\n", + "Velocity : 0.00446276 [ 1.04 %]\n", + "Force : 0.0925081 [ 21.48 %]\n", + "Coefs : 0.0215896 [ 5.01 %]\n", + "Output : 0.0018129 [ 0.42 %]\n", + "Levels : 0.000102125 [ 0.02 %]\n", + "Report : 5.24e-07 [ 0.00 %]\n", + "Balance : 1.53e-07 [ 0.00 %]\n", + "Adjust : 0.308461 [ 71.63 %]\n", + "Total : 0.430661 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23237 1427 284 33 14 1 4 \n", + "1 : 23294 1368 286 31 10 6 5 \n", + "2 : 23235 1430 291 30 5 7 2 \n", + "3 : 23262 1409 284 20 11 8 6 \n", + "\n", + "T : 93028 5634 1145 114 40 22 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.4660e-02 sec\n", + "--- Collate = 1.0135e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.899919e-04 < 1.562500e-03 [8]\n", + "--- Max DT=3.050072e-01 > 1.000000e-01 [71318]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71318/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=19] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00162173 [ 0.31 %]\n", + "Velocity : 0.00430799 [ 0.84 %]\n", + "Force : 0.0848833 [ 16.46 %]\n", + "Coefs : 0.01852 [ 3.59 %]\n", + "Output : 0.100664 [ 19.52 %]\n", + "Levels : 8.5917e-05 [ 0.02 %]\n", + "Report : 3.66e-07 [ 0.00 %]\n", + "Balance : 3.28e-07 [ 0.00 %]\n", + "Adjust : 0.305494 [ 59.25 %]\n", + "Total : 0.51563 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23233 1430 282 36 11 5 3 \n", + "1 : 23296 1364 288 30 11 6 5 \n", + "2 : 23239 1425 295 26 6 4 5 \n", + "3 : 23262 1412 281 19 11 11 4 \n", + "\n", + "T : 93030 5631 1146 111 39 26 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.2165e-02 sec\n", + "--- Collate = 1.0219e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.138892e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.049961e-01 > 1.000000e-01 [71319]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71319/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=19.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00198027 [ 0.46 %]\n", + "Velocity : 0.00387716 [ 0.90 %]\n", + "Force : 0.091156 [ 21.18 %]\n", + "Coefs : 0.0254171 [ 5.90 %]\n", + "Output : 0.00179007 [ 0.42 %]\n", + "Levels : 9.1143e-05 [ 0.02 %]\n", + "Report : 1.66e-07 [ 0.00 %]\n", + "Balance : 1.07e-07 [ 0.00 %]\n", + "Adjust : 0.306081 [ 71.11 %]\n", + "Total : 0.430447 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23230 1432 283 38 7 7 3 \n", + "1 : 23292 1365 288 35 10 4 6 \n", + "2 : 23233 1434 289 31 5 2 6 \n", + "3 : 23265 1404 285 24 12 4 6 \n", + "\n", + "T : 93020 5635 1145 128 34 17 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.7891e-02 sec\n", + "--- Collate = 1.1770e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.714726e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.049846e-01 > 1.000000e-01 [71325]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71325/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=19.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00150928 [ 0.28 %]\n", + "Velocity : 0.00423282 [ 0.79 %]\n", + "Force : 0.110983 [ 20.70 %]\n", + "Coefs : 0.0235736 [ 4.40 %]\n", + "Output : 0.00228014 [ 0.43 %]\n", + "Levels : 0.000103066 [ 0.02 %]\n", + "Report : 1.59e-07 [ 0.00 %]\n", + "Balance : 1.02e-07 [ 0.00 %]\n", + "Adjust : 0.393451 [ 73.38 %]\n", + "Total : 0.536192 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23231 1432 285 38 4 6 4 \n", + "1 : 23289 1373 283 34 9 7 5 \n", + "2 : 23236 1431 288 30 6 1 8 \n", + "3 : 23262 1408 284 26 13 2 5 \n", + "\n", + "T : 93018 5644 1140 128 32 16 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.4639e-02 sec\n", + "--- Collate = 1.4962e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.077205e-04 < 1.562500e-03 [7]\n", + "--- Max DT=3.049729e-01 > 1.000000e-01 [71335]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71335/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=19.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00173511 [ 0.35 %]\n", + "Velocity : 0.00419515 [ 0.85 %]\n", + "Force : 0.10711 [ 21.63 %]\n", + "Coefs : 0.0258936 [ 5.23 %]\n", + "Output : 0.00213695 [ 0.43 %]\n", + "Levels : 0.000101785 [ 0.02 %]\n", + "Report : 4.12e-07 [ 0.00 %]\n", + "Balance : 1e-07 [ 0.00 %]\n", + "Adjust : 0.354057 [ 71.49 %]\n", + "Total : 0.495288 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23225 1437 288 36 6 1 7 \n", + "1 : 23290 1374 281 37 6 6 6 \n", + "2 : 23235 1432 287 29 5 7 5 \n", + "3 : 23256 1410 289 31 7 2 5 \n", + "\n", + "T : 93006 5653 1145 133 24 16 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.2808e-02 sec\n", + "--- Collate = 1.2287e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.761132e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.049609e-01 > 1.000000e-01 [71324]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71324/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=19.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00157219 [ 0.33 %]\n", + "Velocity : 0.00412244 [ 0.88 %]\n", + "Force : 0.0941992 [ 20.03 %]\n", + "Coefs : 0.0200906 [ 4.27 %]\n", + "Output : 0.00193883 [ 0.41 %]\n", + "Levels : 0.00011469 [ 0.02 %]\n", + "Report : 2.72e-07 [ 0.00 %]\n", + "Balance : 1.07e-07 [ 0.00 %]\n", + "Adjust : 0.348292 [ 74.04 %]\n", + "Total : 0.470386 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23217 1445 287 36 8 2 5 \n", + "1 : 23290 1374 278 41 7 5 5 \n", + "2 : 23232 1434 290 25 7 7 5 \n", + "3 : 23260 1405 289 31 9 5 1 \n", + "\n", + "T : 92999 5658 1144 133 31 19 16 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.2565e-02 sec\n", + "--- Collate = 9.2500e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.212558e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.049486e-01 > 1.000000e-01 [71319]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71319/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=19.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00161209 [ 0.36 %]\n", + "Velocity : 0.00400268 [ 0.90 %]\n", + "Force : 0.0920828 [ 20.64 %]\n", + "Coefs : 0.0186397 [ 4.18 %]\n", + "Output : 0.00189912 [ 0.43 %]\n", + "Levels : 0.000109955 [ 0.02 %]\n", + "Report : 1.76e-07 [ 0.00 %]\n", + "Balance : 1.12e-07 [ 0.00 %]\n", + "Adjust : 0.327711 [ 73.46 %]\n", + "Total : 0.446113 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23217 1443 291 33 8 3 5 \n", + "1 : 23289 1374 283 32 14 1 7 \n", + "2 : 23236 1429 289 26 12 2 6 \n", + "3 : 23258 1410 282 33 13 2 2 \n", + "\n", + "T : 93000 5656 1145 124 47 8 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.2456e-02 sec\n", + "--- Collate = 1.5643e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.151279e-06 < 1.562500e-03 [10]\n", + "--- Max DT=3.049361e-01 > 1.000000e-01 [71321]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71321/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=19.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00144943 [ 0.33 %]\n", + "Velocity : 0.00393753 [ 0.88 %]\n", + "Force : 0.0827553 [ 18.58 %]\n", + "Coefs : 0.0177575 [ 3.99 %]\n", + "Output : 0.00204736 [ 0.46 %]\n", + "Levels : 0.000112379 [ 0.03 %]\n", + "Report : 1.81e-07 [ 0.00 %]\n", + "Balance : 1.14e-07 [ 0.00 %]\n", + "Adjust : 0.337381 [ 75.73 %]\n", + "Total : 0.445498 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23216 1446 290 29 10 6 3 \n", + "1 : 23283 1380 285 32 9 6 5 \n", + "2 : 23238 1427 292 25 10 3 5 \n", + "3 : 23253 1416 282 31 14 2 2 \n", + "\n", + "T : 92990 5669 1149 117 43 17 15 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1628e-02 sec\n", + "--- Collate = 1.1356e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.159935e-04 < 1.562500e-03 [5]\n", + "--- Max DT=3.049231e-01 > 1.000000e-01 [71334]\n", + "----------------------------------------------------------------------\n", + " Component | low: 5/100000\n", + " Component | high: 71334/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=19.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00168365 [ 0.38 %]\n", + "Velocity : 0.0053536 [ 1.21 %]\n", + "Force : 0.0873031 [ 19.67 %]\n", + "Coefs : 0.017387 [ 3.92 %]\n", + "Output : 0.00200442 [ 0.45 %]\n", + "Levels : 0.000112441 [ 0.03 %]\n", + "Report : 1.8e-07 [ 0.00 %]\n", + "Balance : 1.58e-07 [ 0.00 %]\n", + "Adjust : 0.329955 [ 74.34 %]\n", + "Total : 0.443854 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23220 1440 294 29 8 3 6 \n", + "1 : 23286 1377 280 37 8 7 5 \n", + "2 : 23238 1428 289 26 10 4 5 \n", + "3 : 23251 1420 280 34 7 5 3 \n", + "\n", + "T : 92995 5665 1143 126 33 19 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.2738e-02 sec\n", + "--- Collate = 1.0151e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.870441e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.049099e-01 > 1.000000e-01 [71348]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71348/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=19.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00196668 [ 0.43 %]\n", + "Velocity : 0.00477547 [ 1.04 %]\n", + "Force : 0.0984723 [ 21.44 %]\n", + "Coefs : 0.0194301 [ 4.23 %]\n", + "Output : 0.00182492 [ 0.40 %]\n", + "Levels : 8.8617e-05 [ 0.02 %]\n", + "Report : 1.8e-07 [ 0.00 %]\n", + "Balance : 1e-07 [ 0.00 %]\n", + "Adjust : 0.332578 [ 72.43 %]\n", + "Total : 0.459198 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23226 1436 293 25 11 3 6 \n", + "1 : 23281 1388 274 36 8 6 7 \n", + "2 : 23241 1430 284 25 12 5 3 \n", + "3 : 23256 1418 277 32 7 4 6 \n", + "\n", + "T : 93004 5672 1128 118 38 18 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 2.0073e-02 sec\n", + "--- Collate = 1.4923e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.799580e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.048962e-01 > 1.000000e-01 [71328]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71328/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=19.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00170264 [ 0.33 %]\n", + "Velocity : 0.00538586 [ 1.04 %]\n", + "Force : 0.107175 [ 20.71 %]\n", + "Coefs : 0.02052 [ 3.96 %]\n", + "Output : 0.00200963 [ 0.39 %]\n", + "Levels : 0.000127696 [ 0.02 %]\n", + "Report : 1.8e-07 [ 0.00 %]\n", + "Balance : 1.32e-07 [ 0.00 %]\n", + "Adjust : 0.380643 [ 73.54 %]\n", + "Total : 0.517629 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23227 1435 293 25 9 6 5 \n", + "1 : 23281 1388 273 33 12 6 7 \n", + "2 : 23240 1428 284 30 12 3 3 \n", + "3 : 23252 1419 281 28 9 3 8 \n", + "\n", + "T : 93000 5670 1131 116 42 18 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1903e-02 sec\n", + "--- Collate = 9.8150e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.368659e-04 < 1.562500e-03 [14]\n", + "--- Max DT=3.048819e-01 > 1.000000e-01 [71338]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71338/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=20] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00199783 [ 0.34 %]\n", + "Velocity : 0.00526539 [ 0.90 %]\n", + "Force : 0.103815 [ 17.69 %]\n", + "Coefs : 0.0289172 [ 4.93 %]\n", + "Output : 0.106127 [ 18.09 %]\n", + "Levels : 9.8462e-05 [ 0.02 %]\n", + "Report : 2.15e-07 [ 0.00 %]\n", + "Balance : 1.65e-07 [ 0.00 %]\n", + "Adjust : 0.340488 [ 58.03 %]\n", + "Total : 0.586778 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23226 1435 291 32 5 6 5 \n", + "1 : 23272 1394 278 34 10 3 9 \n", + "2 : 23240 1430 280 30 13 6 1 \n", + "3 : 23246 1424 286 25 7 5 7 \n", + "\n", + "T : 92984 5683 1135 121 35 20 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0300e-02 sec\n", + "--- Collate = 9.7030e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.250173e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.048672e-01 > 1.000000e-01 [71362]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71362/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=20.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0016473 [ 0.36 %]\n", + "Velocity : 0.00469372 [ 1.04 %]\n", + "Force : 0.0976617 [ 21.60 %]\n", + "Coefs : 0.0431878 [ 9.55 %]\n", + "Output : 0.0017479 [ 0.39 %]\n", + "Levels : 8.0172e-05 [ 0.02 %]\n", + "Report : 1.48e-07 [ 0.00 %]\n", + "Balance : 1.27e-07 [ 0.00 %]\n", + "Adjust : 0.302996 [ 67.02 %]\n", + "Total : 0.452066 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23220 1438 293 32 8 5 4 \n", + "1 : 23271 1399 275 34 10 5 6 \n", + "2 : 23242 1431 282 24 14 5 2 \n", + "3 : 23245 1421 294 19 7 8 6 \n", + "\n", + "T : 92978 5689 1144 109 39 23 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1967e-02 sec\n", + "--- Collate = 9.4820e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.373730e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.048519e-01 > 1.000000e-01 [71354]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71354/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=20.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00147576 [ 0.35 %]\n", + "Velocity : 0.00372524 [ 0.88 %]\n", + "Force : 0.083645 [ 19.72 %]\n", + "Coefs : 0.0160325 [ 3.78 %]\n", + "Output : 0.00185074 [ 0.44 %]\n", + "Levels : 9.0522e-05 [ 0.02 %]\n", + "Report : 1.49e-07 [ 0.00 %]\n", + "Balance : 1.06e-07 [ 0.00 %]\n", + "Adjust : 0.31731 [ 74.80 %]\n", + "Total : 0.424182 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23217 1443 291 33 11 1 4 \n", + "1 : 23274 1395 274 37 10 6 4 \n", + "2 : 23243 1429 283 27 10 3 5 \n", + "3 : 23246 1422 289 22 7 8 6 \n", + "\n", + "T : 92980 5689 1137 119 38 18 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0287e-02 sec\n", + "--- Collate = 8.9950e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.113883e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.048362e-01 > 1.000000e-01 [71357]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71357/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=20.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0015074 [ 0.36 %]\n", + "Velocity : 0.0035271 [ 0.84 %]\n", + "Force : 0.0965398 [ 22.93 %]\n", + "Coefs : 0.0174845 [ 4.15 %]\n", + "Output : 0.00160627 [ 0.38 %]\n", + "Levels : 7.8876e-05 [ 0.02 %]\n", + "Report : 1.5e-07 [ 0.00 %]\n", + "Balance : 1.15e-07 [ 0.00 %]\n", + "Adjust : 0.300181 [ 71.31 %]\n", + "Total : 0.420979 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23214 1443 296 31 10 3 3 \n", + "1 : 23270 1402 275 33 9 7 4 \n", + "2 : 23241 1430 285 28 6 4 6 \n", + "3 : 23247 1424 286 21 12 4 6 \n", + "\n", + "T : 92972 5699 1142 113 37 18 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0807e-02 sec\n", + "--- Collate = 1.0277e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.441097e-06 < 1.562500e-03 [12]\n", + "--- Max DT=3.048198e-01 > 1.000000e-01 [71355]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71355/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=20.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00225973 [ 0.49 %]\n", + "Velocity : 0.00416833 [ 0.91 %]\n", + "Force : 0.101982 [ 22.27 %]\n", + "Coefs : 0.0255204 [ 5.57 %]\n", + "Output : 0.00180295 [ 0.39 %]\n", + "Levels : 0.000100109 [ 0.02 %]\n", + "Report : 1.42e-07 [ 0.00 %]\n", + "Balance : 1.47e-07 [ 0.00 %]\n", + "Adjust : 0.321959 [ 70.32 %]\n", + "Total : 0.457846 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23214 1451 285 37 6 5 2 \n", + "1 : 23268 1402 276 31 13 5 5 \n", + "2 : 23238 1431 287 28 6 3 7 \n", + "3 : 23246 1425 285 23 11 4 6 \n", + "\n", + "T : 92966 5709 1133 119 36 17 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.2515e-02 sec\n", + "--- Collate = 9.9370e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.720338e-04 < 1.562500e-03 [6]\n", + "--- Max DT=3.048030e-01 > 1.000000e-01 [71359]\n", + "----------------------------------------------------------------------\n", + " Component | low: 6/100000\n", + " Component | high: 71359/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=20.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00161645 [ 0.40 %]\n", + "Velocity : 0.00371562 [ 0.92 %]\n", + "Force : 0.0786117 [ 19.45 %]\n", + "Coefs : 0.0163244 [ 4.04 %]\n", + "Output : 0.0017561 [ 0.43 %]\n", + "Levels : 0.000122458 [ 0.03 %]\n", + "Report : 2.19e-07 [ 0.00 %]\n", + "Balance : 1.52e-07 [ 0.00 %]\n", + "Adjust : 0.302006 [ 74.72 %]\n", + "Total : 0.404204 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23215 1446 290 37 6 4 2 \n", + "1 : 23267 1404 276 34 8 6 5 \n", + "2 : 23242 1429 285 26 8 5 5 \n", + "3 : 23242 1430 285 25 10 3 5 \n", + "\n", + "T : 92966 5709 1136 122 32 18 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1030e-02 sec\n", + "--- Collate = 9.6150e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.007890e-05 < 1.562500e-03 [5]\n", + "--- Max DT=3.047856e-01 > 1.000000e-01 [71362]\n", + "----------------------------------------------------------------------\n", + " Component | low: 5/100000\n", + " Component | high: 71362/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=20.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00148507 [ 0.34 %]\n", + "Velocity : 0.00419578 [ 0.96 %]\n", + "Force : 0.0936734 [ 21.35 %]\n", + "Coefs : 0.0203466 [ 4.64 %]\n", + "Output : 0.00180165 [ 0.41 %]\n", + "Levels : 9.1694e-05 [ 0.02 %]\n", + "Report : 2.12e-07 [ 0.00 %]\n", + "Balance : 1.16e-07 [ 0.00 %]\n", + "Adjust : 0.317168 [ 72.28 %]\n", + "Total : 0.438815 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23213 1451 287 35 8 3 3 \n", + "1 : 23271 1400 275 36 6 11 1 \n", + "2 : 23244 1428 286 23 8 8 3 \n", + "3 : 23239 1436 282 27 9 3 4 \n", + "\n", + "T : 92967 5715 1130 121 31 25 11 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0942e-02 sec\n", + "--- Collate = 9.6350e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.135081e-04 < 1.562500e-03 [7]\n", + "--- Max DT=3.047677e-01 > 1.000000e-01 [71352]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71352/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=20.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00161952 [ 0.39 %]\n", + "Velocity : 0.00374379 [ 0.91 %]\n", + "Force : 0.0942217 [ 22.94 %]\n", + "Coefs : 0.0165375 [ 4.03 %]\n", + "Output : 0.00157679 [ 0.38 %]\n", + "Levels : 0.000100314 [ 0.02 %]\n", + "Report : 2.39e-07 [ 0.00 %]\n", + "Balance : 9.7e-08 [ 0.00 %]\n", + "Adjust : 0.292941 [ 71.31 %]\n", + "Total : 0.41079 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23209 1455 292 29 10 3 2 \n", + "1 : 23266 1407 272 36 9 7 3 \n", + "2 : 23244 1426 286 22 14 4 4 \n", + "3 : 23238 1438 281 28 8 3 4 \n", + "\n", + "T : 92957 5726 1131 115 41 17 13 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0493e-02 sec\n", + "--- Collate = 9.2810e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.609956e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.047493e-01 > 1.000000e-01 [71367]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71367/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=20.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00165423 [ 0.40 %]\n", + "Velocity : 0.00366627 [ 0.90 %]\n", + "Force : 0.097214 [ 23.79 %]\n", + "Coefs : 0.0189378 [ 4.64 %]\n", + "Output : 0.00151947 [ 0.37 %]\n", + "Levels : 9.2395e-05 [ 0.02 %]\n", + "Report : 2.18e-07 [ 0.00 %]\n", + "Balance : 1.31e-07 [ 0.00 %]\n", + "Adjust : 0.285434 [ 69.86 %]\n", + "Total : 0.408573 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23206 1459 292 26 9 5 3 \n", + "1 : 23264 1407 278 31 9 3 8 \n", + "2 : 23244 1428 283 22 13 4 6 \n", + "3 : 23238 1442 273 31 8 4 4 \n", + "\n", + "T : 92952 5736 1126 110 39 16 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0924e-02 sec\n", + "--- Collate = 1.0571e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.020116e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.047305e-01 > 1.000000e-01 [71363]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71363/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=20.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00147869 [ 0.33 %]\n", + "Velocity : 0.00355572 [ 0.80 %]\n", + "Force : 0.102085 [ 22.86 %]\n", + "Coefs : 0.0210226 [ 4.71 %]\n", + "Output : 0.00155974 [ 0.35 %]\n", + "Levels : 9.9893e-05 [ 0.02 %]\n", + "Report : 2.26e-07 [ 0.00 %]\n", + "Balance : 1.49e-07 [ 0.00 %]\n", + "Adjust : 0.316665 [ 70.92 %]\n", + "Total : 0.446519 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23209 1458 287 28 8 7 3 \n", + "1 : 23268 1405 276 28 12 4 7 \n", + "2 : 23241 1432 282 24 13 1 7 \n", + "3 : 23234 1444 279 25 10 3 5 \n", + "\n", + "T : 92952 5739 1124 105 43 15 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1230e-02 sec\n", + "--- Collate = 9.2510e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.066739e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.047111e-01 > 1.000000e-01 [71357]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71357/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=21] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00144841 [ 0.26 %]\n", + "Velocity : 0.0040599 [ 0.73 %]\n", + "Force : 0.102957 [ 18.41 %]\n", + "Coefs : 0.0166222 [ 2.97 %]\n", + "Output : 0.0973073 [ 17.40 %]\n", + "Levels : 8.3057e-05 [ 0.01 %]\n", + "Report : 2.41e-07 [ 0.00 %]\n", + "Balance : 1.46e-07 [ 0.00 %]\n", + "Adjust : 0.336689 [ 60.21 %]\n", + "Total : 0.559222 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23205 1463 285 29 7 5 6 \n", + "1 : 23265 1411 274 27 8 11 4 \n", + "2 : 23235 1436 285 25 6 8 5 \n", + "3 : 23235 1443 281 25 7 4 5 \n", + "\n", + "T : 92940 5753 1125 106 28 28 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0462e-02 sec\n", + "--- Collate = 9.0960e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.255265e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.046915e-01 > 1.000000e-01 [71368]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71368/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=21.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00134499 [ 0.30 %]\n", + "Velocity : 0.00385356 [ 0.85 %]\n", + "Force : 0.0929911 [ 20.45 %]\n", + "Coefs : 0.0633116 [ 13.92 %]\n", + "Output : 0.00164305 [ 0.36 %]\n", + "Levels : 8.1999e-05 [ 0.02 %]\n", + "Report : 1.17e-07 [ 0.00 %]\n", + "Balance : 1.13e-07 [ 0.00 %]\n", + "Adjust : 0.29151 [ 64.10 %]\n", + "Total : 0.454789 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23197 1465 293 29 5 2 9 \n", + "1 : 23258 1418 272 30 10 9 3 \n", + "2 : 23228 1444 283 21 12 7 5 \n", + "3 : 23236 1440 286 20 10 5 3 \n", + "\n", + "T : 92919 5767 1134 100 37 23 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.4279e-02 sec\n", + "--- Collate = 9.6130e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.963058e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.046715e-01 > 1.000000e-01 [71359]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71359/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=21.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0014322 [ 0.33 %]\n", + "Velocity : 0.00390831 [ 0.89 %]\n", + "Force : 0.0870364 [ 19.82 %]\n", + "Coefs : 0.0163133 [ 3.71 %]\n", + "Output : 0.00176811 [ 0.40 %]\n", + "Levels : 8.5788e-05 [ 0.02 %]\n", + "Report : 1.76e-07 [ 0.00 %]\n", + "Balance : 1.43e-07 [ 0.00 %]\n", + "Adjust : 0.32861 [ 74.82 %]\n", + "Total : 0.439204 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23200 1464 290 27 8 4 7 \n", + "1 : 23263 1413 270 31 16 3 4 \n", + "2 : 23227 1449 279 23 10 6 6 \n", + "3 : 23237 1439 284 19 13 5 3 \n", + "\n", + "T : 92927 5765 1123 100 47 18 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.2254e-02 sec\n", + "--- Collate = 1.0771e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.391756e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.046509e-01 > 1.000000e-01 [71345]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71345/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=21.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00153736 [ 0.34 %]\n", + "Velocity : 0.00393834 [ 0.88 %]\n", + "Force : 0.0908879 [ 20.20 %]\n", + "Coefs : 0.0195643 [ 4.35 %]\n", + "Output : 0.00206262 [ 0.46 %]\n", + "Levels : 0.000108066 [ 0.02 %]\n", + "Report : 1.72e-07 [ 0.00 %]\n", + "Balance : 1.45e-07 [ 0.00 %]\n", + "Adjust : 0.331842 [ 73.74 %]\n", + "Total : 0.449999 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23198 1467 282 34 10 4 5 \n", + "1 : 23254 1420 276 28 16 2 4 \n", + "2 : 23224 1457 276 21 10 4 8 \n", + "3 : 23236 1442 281 22 8 9 2 \n", + "\n", + "T : 92912 5786 1115 105 44 19 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.4209e-02 sec\n", + "--- Collate = 1.2375e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.856006e-04 < 1.562500e-03 [7]\n", + "--- Max DT=3.046300e-01 > 1.000000e-01 [71345]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71345/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=21.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00149097 [ 0.30 %]\n", + "Velocity : 0.00420704 [ 0.85 %]\n", + "Force : 0.0955916 [ 19.35 %]\n", + "Coefs : 0.0186646 [ 3.78 %]\n", + "Output : 0.00236784 [ 0.48 %]\n", + "Levels : 0.000102907 [ 0.02 %]\n", + "Report : 1.68e-07 [ 0.00 %]\n", + "Balance : 9e-08 [ 0.00 %]\n", + "Adjust : 0.371555 [ 75.21 %]\n", + "Total : 0.494039 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23193 1468 285 35 11 5 3 \n", + "1 : 23256 1417 274 30 15 5 3 \n", + "2 : 23224 1460 270 27 7 5 7 \n", + "3 : 23237 1443 283 17 11 5 4 \n", + "\n", + "T : 92910 5788 1112 109 44 20 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1862e-02 sec\n", + "--- Collate = 1.0777e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.236416e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.046087e-01 > 1.000000e-01 [71335]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71335/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=21.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00165065 [ 0.34 %]\n", + "Velocity : 0.00452283 [ 0.94 %]\n", + "Force : 0.107968 [ 22.46 %]\n", + "Coefs : 0.0191713 [ 3.99 %]\n", + "Output : 0.00207543 [ 0.43 %]\n", + "Levels : 9.3601e-05 [ 0.02 %]\n", + "Report : 2.1e-07 [ 0.00 %]\n", + "Balance : 1e-07 [ 0.00 %]\n", + "Adjust : 0.345106 [ 71.80 %]\n", + "Total : 0.480649 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23193 1468 286 33 10 8 2 \n", + "1 : 23255 1417 274 32 11 8 3 \n", + "2 : 23227 1457 269 23 12 5 7 \n", + "3 : 23239 1440 281 25 7 3 5 \n", + "\n", + "T : 92914 5782 1110 113 40 24 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.2960e-02 sec\n", + "--- Collate = 1.3478e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.190135e-04 < 1.562500e-03 [10]\n", + "--- Max DT=3.045870e-01 > 1.000000e-01 [71340]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71340/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=21.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00173415 [ 0.36 %]\n", + "Velocity : 0.00562767 [ 1.18 %]\n", + "Force : 0.0887105 [ 18.54 %]\n", + "Coefs : 0.0172603 [ 3.61 %]\n", + "Output : 0.0019433 [ 0.41 %]\n", + "Levels : 0.0320201 [ 6.69 %]\n", + "Report : 6.42e-07 [ 0.00 %]\n", + "Balance : 1.77e-07 [ 0.00 %]\n", + "Adjust : 0.331127 [ 69.20 %]\n", + "Total : 0.478481 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23186 1478 287 29 13 5 2 \n", + "1 : 23258 1415 274 33 11 4 5 \n", + "2 : 23223 1459 269 24 15 5 5 \n", + "3 : 23238 1439 284 22 7 4 6 \n", + "\n", + "T : 92905 5791 1114 108 46 18 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.3349e-02 sec\n", + "--- Collate = 1.0527e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.423848e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.045650e-01 > 1.000000e-01 [71334]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71334/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=21.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00195058 [ 0.44 %]\n", + "Velocity : 0.00587454 [ 1.33 %]\n", + "Force : 0.0990374 [ 22.39 %]\n", + "Coefs : 0.0187968 [ 4.25 %]\n", + "Output : 0.00182404 [ 0.41 %]\n", + "Levels : 9.6883e-05 [ 0.02 %]\n", + "Report : 2.29e-07 [ 0.00 %]\n", + "Balance : 1.5e-07 [ 0.00 %]\n", + "Adjust : 0.314681 [ 71.14 %]\n", + "Total : 0.442314 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23181 1487 279 34 11 4 4 \n", + "1 : 23256 1416 273 38 8 1 8 \n", + "2 : 23226 1456 270 24 15 5 4 \n", + "3 : 23238 1435 290 19 7 7 4 \n", + "\n", + "T : 92901 5794 1112 115 41 17 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0991e-02 sec\n", + "--- Collate = 9.0230e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.442983e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.045428e-01 > 1.000000e-01 [71335]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71335/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=21.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00150128 [ 0.34 %]\n", + "Velocity : 0.00487307 [ 1.11 %]\n", + "Force : 0.0896386 [ 20.48 %]\n", + "Coefs : 0.0177467 [ 4.05 %]\n", + "Output : 0.00183987 [ 0.42 %]\n", + "Levels : 8.8915e-05 [ 0.02 %]\n", + "Report : 1.57e-07 [ 0.00 %]\n", + "Balance : 1.38e-07 [ 0.00 %]\n", + "Adjust : 0.321969 [ 73.56 %]\n", + "Total : 0.437712 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23183 1484 277 38 7 5 6 \n", + "1 : 23256 1415 275 32 11 4 7 \n", + "2 : 23222 1462 266 30 10 7 3 \n", + "3 : 23229 1444 290 21 5 6 5 \n", + "\n", + "T : 92890 5805 1108 121 33 22 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.2131e-02 sec\n", + "--- Collate = 1.1637e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.790159e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.045204e-01 > 1.000000e-01 [71331]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71331/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=21.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00177277 [ 0.35 %]\n", + "Velocity : 0.00429463 [ 0.85 %]\n", + "Force : 0.111879 [ 22.02 %]\n", + "Coefs : 0.0274018 [ 5.39 %]\n", + "Output : 0.00203199 [ 0.40 %]\n", + "Levels : 9.0557e-05 [ 0.02 %]\n", + "Report : 1.71e-07 [ 0.00 %]\n", + "Balance : 1.22e-07 [ 0.00 %]\n", + "Adjust : 0.360491 [ 70.96 %]\n", + "Total : 0.508018 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23179 1486 279 39 6 5 6 \n", + "1 : 23253 1417 274 34 8 6 8 \n", + "2 : 23219 1466 263 29 14 4 5 \n", + "3 : 23230 1445 286 22 6 6 5 \n", + "\n", + "T : 92881 5814 1102 124 34 21 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1817e-02 sec\n", + "--- Collate = 1.1092e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.917904e-06 < 1.562500e-03 [9]\n", + "--- Max DT=3.044978e-01 > 1.000000e-01 [71346]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71346/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=22] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00206287 [ 0.38 %]\n", + "Velocity : 0.00477205 [ 0.89 %]\n", + "Force : 0.0992505 [ 18.52 %]\n", + "Coefs : 0.025687 [ 4.79 %]\n", + "Output : 0.0726084 [ 13.55 %]\n", + "Levels : 0.000103343 [ 0.02 %]\n", + "Report : 5.21e-07 [ 0.00 %]\n", + "Balance : 1.6711e-05 [ 0.00 %]\n", + "Adjust : 0.33127 [ 61.82 %]\n", + "Total : 0.535831 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23178 1488 280 34 9 5 6 \n", + "1 : 23252 1417 276 31 11 8 5 \n", + "2 : 23220 1464 262 29 16 5 4 \n", + "3 : 23234 1444 283 24 5 4 6 \n", + "\n", + "T : 92884 5813 1101 118 41 22 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.5260e-02 sec\n", + "--- Collate = 2.5843e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.813116e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.044750e-01 > 1.000000e-01 [71351]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71351/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=22.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00121345 [ 0.21 %]\n", + "Velocity : 0.0040774 [ 0.72 %]\n", + "Force : 0.10916 [ 19.22 %]\n", + "Coefs : 0.0911189 [ 16.04 %]\n", + "Output : 0.00211234 [ 0.37 %]\n", + "Levels : 8.0416e-05 [ 0.01 %]\n", + "Report : 1.4e-07 [ 0.00 %]\n", + "Balance : 1.63e-07 [ 0.00 %]\n", + "Adjust : 0.360119 [ 63.41 %]\n", + "Total : 0.567942 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23178 1490 277 32 13 6 4 \n", + "1 : 23254 1412 284 25 15 5 5 \n", + "2 : 23220 1463 263 31 12 4 7 \n", + "3 : 23232 1447 283 24 6 4 4 \n", + "\n", + "T : 92884 5812 1107 112 46 19 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.2242e-02 sec\n", + "--- Collate = 1.3722e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.285519e-06 < 1.562500e-03 [13]\n", + "--- Max DT=3.044520e-01 > 1.000000e-01 [71363]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71363/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=22.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0015416 [ 0.33 %]\n", + "Velocity : 0.00426913 [ 0.92 %]\n", + "Force : 0.0972586 [ 21.06 %]\n", + "Coefs : 0.0175124 [ 3.79 %]\n", + "Output : 0.00216396 [ 0.47 %]\n", + "Levels : 0.000113907 [ 0.02 %]\n", + "Report : 1.58e-07 [ 0.00 %]\n", + "Balance : 1.74e-07 [ 0.00 %]\n", + "Adjust : 0.338912 [ 73.38 %]\n", + "Total : 0.461829 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23177 1494 273 36 9 4 7 \n", + "1 : 23260 1404 287 24 12 7 6 \n", + "2 : 23219 1467 259 31 10 8 6 \n", + "3 : 23224 1451 287 25 8 2 3 \n", + "\n", + "T : 92880 5816 1106 116 39 21 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.7123e-02 sec\n", + "--- Collate = 1.2403e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.756801e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.044289e-01 > 1.000000e-01 [71373]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71373/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=22.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0019405 [ 0.43 %]\n", + "Velocity : 0.00606611 [ 1.34 %]\n", + "Force : 0.094647 [ 20.91 %]\n", + "Coefs : 0.017341 [ 3.83 %]\n", + "Output : 0.00198395 [ 0.44 %]\n", + "Levels : 0.000101737 [ 0.02 %]\n", + "Report : 1.87e-07 [ 0.00 %]\n", + "Balance : 2.4e-07 [ 0.00 %]\n", + "Adjust : 0.330427 [ 73.01 %]\n", + "Total : 0.452564 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23174 1501 268 38 8 5 6 \n", + "1 : 23265 1399 285 25 14 6 6 \n", + "2 : 23217 1474 256 28 12 5 8 \n", + "3 : 23226 1449 286 24 10 4 1 \n", + "\n", + "T : 92882 5823 1095 115 44 20 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.7253e-02 sec\n", + "--- Collate = 1.0577e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.221296e-04 < 1.562500e-03 [11]\n", + "--- Max DT=3.044056e-01 > 1.000000e-01 [71371]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71371/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=22.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00193685 [ 0.37 %]\n", + "Velocity : 0.00461429 [ 0.88 %]\n", + "Force : 0.109095 [ 20.77 %]\n", + "Coefs : 0.0242501 [ 4.62 %]\n", + "Output : 0.00232461 [ 0.44 %]\n", + "Levels : 0.000110381 [ 0.02 %]\n", + "Report : 1.96e-07 [ 0.00 %]\n", + "Balance : 1.2e-07 [ 0.00 %]\n", + "Adjust : 0.382875 [ 72.89 %]\n", + "Total : 0.525269 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23174 1498 268 38 9 5 8 \n", + "1 : 23258 1405 283 29 9 10 6 \n", + "2 : 23224 1469 256 27 13 3 8 \n", + "3 : 23226 1450 286 26 9 2 1 \n", + "\n", + "T : 92882 5822 1093 120 40 20 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.4277e-02 sec\n", + "--- Collate = 9.5130e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.735580e-06 < 1.562500e-03 [13]\n", + "--- Max DT=3.043820e-01 > 1.000000e-01 [71373]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71373/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=22.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00207177 [ 0.43 %]\n", + "Velocity : 0.00493065 [ 1.02 %]\n", + "Force : 0.10087 [ 20.95 %]\n", + "Coefs : 0.0278119 [ 5.78 %]\n", + "Output : 0.00213136 [ 0.44 %]\n", + "Levels : 8.7752e-05 [ 0.02 %]\n", + "Report : 1.67e-07 [ 0.00 %]\n", + "Balance : 1.02e-07 [ 0.00 %]\n", + "Adjust : 0.343493 [ 71.35 %]\n", + "Total : 0.481451 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23176 1495 268 40 9 6 6 \n", + "1 : 23257 1406 285 31 8 7 6 \n", + "2 : 23218 1476 257 28 8 6 7 \n", + "3 : 23228 1449 285 28 7 1 2 \n", + "\n", + "T : 92879 5826 1095 127 32 20 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.3349e-02 sec\n", + "--- Collate = 9.4500e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.614763e-04 < 1.562500e-03 [10]\n", + "--- Max DT=3.043582e-01 > 1.000000e-01 [71371]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71371/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=22.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00198986 [ 0.43 %]\n", + "Velocity : 0.00481591 [ 1.03 %]\n", + "Force : 0.0940973 [ 20.10 %]\n", + "Coefs : 0.0194284 [ 4.15 %]\n", + "Output : 0.0020189 [ 0.43 %]\n", + "Levels : 9.1165e-05 [ 0.02 %]\n", + "Report : 1.4e-07 [ 0.00 %]\n", + "Balance : 1.28e-07 [ 0.00 %]\n", + "Adjust : 0.345623 [ 73.83 %]\n", + "Total : 0.468122 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23179 1491 269 36 11 9 5 \n", + "1 : 23252 1409 285 35 7 2 10 \n", + "2 : 23215 1476 261 28 6 7 7 \n", + "3 : 23221 1460 280 29 5 3 2 \n", + "\n", + "T : 92867 5836 1095 128 29 21 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.3272e-02 sec\n", + "--- Collate = 1.0044e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.368821e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.043589e-01 > 1.000000e-01 [71369]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71369/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=22.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00205988 [ 0.43 %]\n", + "Velocity : 0.0042327 [ 0.89 %]\n", + "Force : 0.10395 [ 21.81 %]\n", + "Coefs : 0.019546 [ 4.10 %]\n", + "Output : 0.00206889 [ 0.43 %]\n", + "Levels : 9.6779e-05 [ 0.02 %]\n", + "Report : 1.67e-07 [ 0.00 %]\n", + "Balance : 9.5e-08 [ 0.00 %]\n", + "Adjust : 0.344586 [ 72.30 %]\n", + "Total : 0.476595 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23183 1489 270 33 12 6 7 \n", + "1 : 23256 1410 283 32 5 7 7 \n", + "2 : 23212 1476 263 29 8 5 7 \n", + "3 : 23222 1461 276 29 5 3 4 \n", + "\n", + "T : 92873 5836 1092 123 30 21 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.4115e-02 sec\n", + "--- Collate = 1.0888e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.438894e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.043798e-01 > 1.000000e-01 [71364]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71364/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=22.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00156253 [ 0.32 %]\n", + "Velocity : 0.00403348 [ 0.83 %]\n", + "Force : 0.107182 [ 22.12 %]\n", + "Coefs : 0.024184 [ 4.99 %]\n", + "Output : 0.0022142 [ 0.46 %]\n", + "Levels : 0.000100564 [ 0.02 %]\n", + "Report : 5.15e-07 [ 0.00 %]\n", + "Balance : 1.71e-07 [ 0.00 %]\n", + "Adjust : 0.345203 [ 71.24 %]\n", + "Total : 0.484544 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23177 1491 275 34 11 6 6 \n", + "1 : 23258 1409 283 29 8 9 4 \n", + "2 : 23213 1476 262 29 9 5 6 \n", + "3 : 23224 1454 283 25 7 3 4 \n", + "\n", + "T : 92872 5830 1103 117 35 23 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.3218e-02 sec\n", + "--- Collate = 1.1087e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.376247e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.043967e-01 > 1.000000e-01 [71358]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71358/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=22.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00149791 [ 0.32 %]\n", + "Velocity : 0.00428692 [ 0.92 %]\n", + "Force : 0.0918978 [ 19.70 %]\n", + "Coefs : 0.0191639 [ 4.11 %]\n", + "Output : 0.00207756 [ 0.45 %]\n", + "Levels : 8.4554e-05 [ 0.02 %]\n", + "Report : 1.58e-07 [ 0.00 %]\n", + "Balance : 9.6e-08 [ 0.00 %]\n", + "Adjust : 0.347318 [ 74.47 %]\n", + "Total : 0.466382 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23178 1491 275 35 11 6 4 \n", + "1 : 23251 1417 285 24 10 9 4 \n", + "2 : 23221 1467 263 26 13 4 6 \n", + "3 : 23224 1453 282 25 6 4 6 \n", + "\n", + "T : 92874 5828 1105 110 40 23 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.2612e-02 sec\n", + "--- Collate = 1.2184e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.170657e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.044095e-01 > 1.000000e-01 [71347]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71347/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=23] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00159864 [ 0.27 %]\n", + "Velocity : 0.00451597 [ 0.77 %]\n", + "Force : 0.104572 [ 17.85 %]\n", + "Coefs : 0.0211486 [ 3.61 %]\n", + "Output : 0.102121 [ 17.43 %]\n", + "Levels : 0.000112826 [ 0.02 %]\n", + "Report : 3.09e-07 [ 0.00 %]\n", + "Balance : 1.52e-07 [ 0.00 %]\n", + "Adjust : 0.351835 [ 60.04 %]\n", + "Total : 0.585959 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23180 1492 271 37 9 8 3 \n", + "1 : 23246 1422 288 23 13 3 5 \n", + "2 : 23215 1473 261 29 9 8 5 \n", + "3 : 23225 1455 282 20 7 7 4 \n", + "\n", + "T : 92866 5842 1102 109 38 26 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1078e-02 sec\n", + "--- Collate = 1.0947e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.266996e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.044181e-01 > 1.000000e-01 [71342]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71342/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=23.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00183504 [ 0.38 %]\n", + "Velocity : 0.00426303 [ 0.87 %]\n", + "Force : 0.100709 [ 20.62 %]\n", + "Coefs : 0.0539647 [ 11.05 %]\n", + "Output : 0.00191217 [ 0.39 %]\n", + "Levels : 0.000116046 [ 0.02 %]\n", + "Report : 1.56e-07 [ 0.00 %]\n", + "Balance : 1.09e-07 [ 0.00 %]\n", + "Adjust : 0.325608 [ 66.66 %]\n", + "Total : 0.488468 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23176 1494 274 37 12 3 4 \n", + "1 : 23255 1413 291 22 10 5 4 \n", + "2 : 23219 1469 261 27 16 4 4 \n", + "3 : 23221 1457 285 18 8 5 6 \n", + "\n", + "T : 92871 5833 1111 104 46 17 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0671e-02 sec\n", + "--- Collate = 9.7390e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.791763e-04 < 1.562500e-03 [12]\n", + "--- Max DT=3.044226e-01 > 1.000000e-01 [71338]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71338/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=23.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00160585 [ 0.38 %]\n", + "Velocity : 0.0038961 [ 0.93 %]\n", + "Force : 0.0858804 [ 20.55 %]\n", + "Coefs : 0.0168879 [ 4.04 %]\n", + "Output : 0.00179626 [ 0.43 %]\n", + "Levels : 8.1784e-05 [ 0.02 %]\n", + "Report : 1.58e-07 [ 0.00 %]\n", + "Balance : 1.17e-07 [ 0.00 %]\n", + "Adjust : 0.307718 [ 73.63 %]\n", + "Total : 0.417918 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23180 1485 282 37 7 5 4 \n", + "1 : 23252 1417 288 25 9 4 5 \n", + "2 : 23217 1467 263 31 12 6 4 \n", + "3 : 23224 1454 287 19 4 5 7 \n", + "\n", + "T : 92873 5823 1120 112 32 20 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1456e-02 sec\n", + "--- Collate = 9.7930e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.795263e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.044230e-01 > 1.000000e-01 [71352]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71352/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=23.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00152756 [ 0.37 %]\n", + "Velocity : 0.00386572 [ 0.93 %]\n", + "Force : 0.0915106 [ 22.06 %]\n", + "Coefs : 0.0168353 [ 4.06 %]\n", + "Output : 0.00165516 [ 0.40 %]\n", + "Levels : 8.4308e-05 [ 0.02 %]\n", + "Report : 1.55e-07 [ 0.00 %]\n", + "Balance : 9.4e-08 [ 0.00 %]\n", + "Adjust : 0.299201 [ 72.14 %]\n", + "Total : 0.414743 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23186 1476 285 36 9 4 4 \n", + "1 : 23247 1421 288 29 5 5 5 \n", + "2 : 23218 1467 259 34 10 7 5 \n", + "3 : 23220 1456 286 23 3 3 9 \n", + "\n", + "T : 92871 5820 1118 122 27 19 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.2558e-02 sec\n", + "--- Collate = 1.1419e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.285496e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.044194e-01 > 1.000000e-01 [71368]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71368/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=23.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00150182 [ 0.33 %]\n", + "Velocity : 0.00443568 [ 0.99 %]\n", + "Force : 0.0940114 [ 20.96 %]\n", + "Coefs : 0.02397 [ 5.35 %]\n", + "Output : 0.00189699 [ 0.42 %]\n", + "Levels : 0.0001022 [ 0.02 %]\n", + "Report : 1.62e-07 [ 0.00 %]\n", + "Balance : 1.52e-07 [ 0.00 %]\n", + "Adjust : 0.322449 [ 71.91 %]\n", + "Total : 0.448421 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23187 1474 291 33 5 6 4 \n", + "1 : 23248 1419 286 31 5 7 4 \n", + "2 : 23221 1462 263 30 14 2 8 \n", + "3 : 23218 1453 290 24 4 3 8 \n", + "\n", + "T : 92874 5808 1130 118 28 18 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.4084e-02 sec\n", + "--- Collate = 9.3860e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.212570e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.044116e-01 > 1.000000e-01 [71374]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71374/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=23.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00214697 [ 0.45 %]\n", + "Velocity : 0.00494574 [ 1.03 %]\n", + "Force : 0.105455 [ 21.96 %]\n", + "Coefs : 0.0220925 [ 4.60 %]\n", + "Output : 0.00226785 [ 0.47 %]\n", + "Levels : 9.102e-05 [ 0.02 %]\n", + "Report : 1.7e-07 [ 0.00 %]\n", + "Balance : 7.3e-08 [ 0.00 %]\n", + "Adjust : 0.343183 [ 71.46 %]\n", + "Total : 0.480237 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23185 1477 292 29 6 6 5 \n", + "1 : 23249 1417 288 31 7 4 4 \n", + "2 : 23225 1459 262 32 11 5 6 \n", + "3 : 23217 1452 290 24 9 2 6 \n", + "\n", + "T : 92876 5805 1132 116 33 17 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.3826e-02 sec\n", + "--- Collate = 1.0118e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.241754e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.044356e-01 > 1.000000e-01 [71367]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71367/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=23.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00152628 [ 0.33 %]\n", + "Velocity : 0.00424753 [ 0.91 %]\n", + "Force : 0.0949475 [ 20.33 %]\n", + "Coefs : 0.0200093 [ 4.28 %]\n", + "Output : 0.00199824 [ 0.43 %]\n", + "Levels : 8.1514e-05 [ 0.02 %]\n", + "Report : 1.72e-07 [ 0.00 %]\n", + "Balance : 1.22e-07 [ 0.00 %]\n", + "Adjust : 0.344248 [ 73.70 %]\n", + "Total : 0.467117 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23192 1469 291 28 9 4 7 \n", + "1 : 23245 1421 286 33 5 7 3 \n", + "2 : 23226 1455 265 33 10 5 6 \n", + "3 : 23215 1457 284 29 8 4 3 \n", + "\n", + "T : 92878 5802 1126 123 32 20 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1634e-02 sec\n", + "--- Collate = 9.6080e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.991648e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.044639e-01 > 1.000000e-01 [71363]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71363/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=23.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00214506 [ 0.49 %]\n", + "Velocity : 0.0037213 [ 0.85 %]\n", + "Force : 0.0937757 [ 21.33 %]\n", + "Coefs : 0.0198299 [ 4.51 %]\n", + "Output : 0.00189365 [ 0.43 %]\n", + "Levels : 0.000121829 [ 0.03 %]\n", + "Report : 4.5e-07 [ 0.00 %]\n", + "Balance : 1.22e-07 [ 0.00 %]\n", + "Adjust : 0.318158 [ 72.36 %]\n", + "Total : 0.439702 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23192 1467 293 30 7 5 6 \n", + "1 : 23244 1421 288 31 8 5 3 \n", + "2 : 23223 1456 264 33 12 9 3 \n", + "3 : 23214 1452 292 27 7 7 1 \n", + "\n", + "T : 92873 5796 1137 121 34 26 13 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1365e-02 sec\n", + "--- Collate = 1.1788e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.491271e-04 < 1.562500e-03 [3]\n", + "--- Max DT=3.044897e-01 > 1.000000e-01 [71366]\n", + "----------------------------------------------------------------------\n", + " Component | low: 3/100000\n", + " Component | high: 71366/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=23.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00162144 [ 0.37 %]\n", + "Velocity : 0.00409887 [ 0.94 %]\n", + "Force : 0.0829177 [ 19.08 %]\n", + "Coefs : 0.0173998 [ 4.00 %]\n", + "Output : 0.00195238 [ 0.45 %]\n", + "Levels : 0.000102673 [ 0.02 %]\n", + "Report : 2.32e-07 [ 0.00 %]\n", + "Balance : 1.77e-07 [ 0.00 %]\n", + "Adjust : 0.326335 [ 75.11 %]\n", + "Total : 0.434486 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23193 1465 290 32 11 3 6 \n", + "1 : 23246 1421 286 30 9 4 4 \n", + "2 : 23235 1447 264 31 15 5 3 \n", + "3 : 23205 1461 290 29 9 4 2 \n", + "\n", + "T : 92879 5794 1130 122 44 16 15 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1521e-02 sec\n", + "--- Collate = 9.5920e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.009947e-06 < 1.562500e-03 [9]\n", + "--- Max DT=3.045129e-01 > 1.000000e-01 [71366]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71366/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=23.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00226332 [ 0.53 %]\n", + "Velocity : 0.00423125 [ 0.98 %]\n", + "Force : 0.0949924 [ 22.06 %]\n", + "Coefs : 0.0173684 [ 4.03 %]\n", + "Output : 0.00183006 [ 0.43 %]\n", + "Levels : 0.00010039 [ 0.02 %]\n", + "Report : 2.33e-07 [ 0.00 %]\n", + "Balance : 1.02e-07 [ 0.00 %]\n", + "Adjust : 0.309755 [ 71.94 %]\n", + "Total : 0.430592 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23188 1473 279 41 10 7 2 \n", + "1 : 23246 1422 281 33 10 4 4 \n", + "2 : 23238 1438 272 29 13 6 4 \n", + "3 : 23210 1455 288 30 11 3 3 \n", + "\n", + "T : 92882 5788 1120 133 44 20 13 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0696e-02 sec\n", + "--- Collate = 9.1660e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.100509e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.045338e-01 > 1.000000e-01 [71363]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71363/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=24] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00149614 [ 0.30 %]\n", + "Velocity : 0.00385949 [ 0.78 %]\n", + "Force : 0.0770778 [ 15.60 %]\n", + "Coefs : 0.0166449 [ 3.37 %]\n", + "Output : 0.0861258 [ 17.43 %]\n", + "Levels : 9.4016e-05 [ 0.02 %]\n", + "Report : 3.07e-07 [ 0.00 %]\n", + "Balance : 1.95e-07 [ 0.00 %]\n", + "Adjust : 0.308832 [ 62.49 %]\n", + "Total : 0.494183 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23179 1483 282 39 8 6 3 \n", + "1 : 23252 1419 276 33 13 2 5 \n", + "2 : 23244 1430 271 37 7 6 5 \n", + "3 : 23205 1460 290 29 8 3 5 \n", + "\n", + "T : 92880 5792 1119 138 36 17 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1588e-02 sec\n", + "--- Collate = 1.1106e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.560357e-06 < 1.562500e-03 [8]\n", + "--- Max DT=3.045522e-01 > 1.000000e-01 [71362]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71362/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=24.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0023838 [ 0.44 %]\n", + "Velocity : 0.00402672 [ 0.74 %]\n", + "Force : 0.110099 [ 20.33 %]\n", + "Coefs : 0.0661249 [ 12.21 %]\n", + "Output : 0.00208936 [ 0.39 %]\n", + "Levels : 9.2052e-05 [ 0.02 %]\n", + "Report : 1.56e-07 [ 0.00 %]\n", + "Balance : 1.03e-07 [ 0.00 %]\n", + "Adjust : 0.356692 [ 65.86 %]\n", + "Total : 0.541576 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23181 1479 283 38 11 4 4 \n", + "1 : 23243 1427 279 30 11 7 3 \n", + "2 : 23242 1430 278 27 11 5 7 \n", + "3 : 23204 1463 286 30 7 6 4 \n", + "\n", + "T : 92870 5799 1126 125 40 22 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1061e-02 sec\n", + "--- Collate = 1.0002e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.118508e-04 < 1.562500e-03 [5]\n", + "--- Max DT=3.045683e-01 > 1.000000e-01 [71359]\n", + "----------------------------------------------------------------------\n", + " Component | low: 5/100000\n", + " Component | high: 71359/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=24.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00154115 [ 0.37 %]\n", + "Velocity : 0.00356682 [ 0.85 %]\n", + "Force : 0.090034 [ 21.49 %]\n", + "Coefs : 0.0168416 [ 4.02 %]\n", + "Output : 0.00159137 [ 0.38 %]\n", + "Levels : 0.000114863 [ 0.03 %]\n", + "Report : 1.26e-07 [ 0.00 %]\n", + "Balance : 9.7e-08 [ 0.00 %]\n", + "Adjust : 0.30524 [ 72.85 %]\n", + "Total : 0.418983 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23179 1480 281 38 14 2 6 \n", + "1 : 23245 1426 276 32 7 10 4 \n", + "2 : 23244 1427 280 26 10 5 8 \n", + "3 : 23198 1469 284 28 12 3 6 \n", + "\n", + "T : 92866 5802 1121 124 43 20 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1306e-02 sec\n", + "--- Collate = 9.9350e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.800089e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.045820e-01 > 1.000000e-01 [71352]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71352/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=24.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00162294 [ 0.36 %]\n", + "Velocity : 0.00382257 [ 0.85 %]\n", + "Force : 0.100891 [ 22.43 %]\n", + "Coefs : 0.0183084 [ 4.07 %]\n", + "Output : 0.00201012 [ 0.45 %]\n", + "Levels : 9.2002e-05 [ 0.02 %]\n", + "Report : 1.56e-07 [ 0.00 %]\n", + "Balance : 1.25e-07 [ 0.00 %]\n", + "Adjust : 0.322975 [ 71.81 %]\n", + "Total : 0.449775 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23178 1482 277 40 14 3 6 \n", + "1 : 23235 1439 276 23 12 8 7 \n", + "2 : 23249 1422 277 29 11 6 6 \n", + "3 : 23193 1477 279 31 13 2 5 \n", + "\n", + "T : 92855 5820 1109 123 50 19 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.4129e-02 sec\n", + "--- Collate = 1.2945e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.588515e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.045935e-01 > 1.000000e-01 [71351]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71351/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=24.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00150811 [ 0.35 %]\n", + "Velocity : 0.00362122 [ 0.84 %]\n", + "Force : 0.0977586 [ 22.55 %]\n", + "Coefs : 0.0166255 [ 3.83 %]\n", + "Output : 0.00183561 [ 0.42 %]\n", + "Levels : 0.000102857 [ 0.02 %]\n", + "Report : 1.68e-07 [ 0.00 %]\n", + "Balance : 1.38e-07 [ 0.00 %]\n", + "Adjust : 0.312077 [ 71.98 %]\n", + "Total : 0.433579 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23171 1493 272 41 12 8 3 \n", + "1 : 23227 1447 275 22 16 2 11 \n", + "2 : 23251 1416 281 29 10 7 6 \n", + "3 : 23191 1477 284 28 12 3 5 \n", + "\n", + "T : 92840 5833 1112 120 50 20 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0747e-02 sec\n", + "--- Collate = 1.0177e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.564220e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.046023e-01 > 1.000000e-01 [71333]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71333/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=24.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00152311 [ 0.36 %]\n", + "Velocity : 0.00372018 [ 0.89 %]\n", + "Force : 0.0853893 [ 20.38 %]\n", + "Coefs : 0.017135 [ 4.09 %]\n", + "Output : 0.00175228 [ 0.42 %]\n", + "Levels : 9.0347e-05 [ 0.02 %]\n", + "Report : 1.47e-07 [ 0.00 %]\n", + "Balance : 1.21e-07 [ 0.00 %]\n", + "Adjust : 0.309304 [ 73.83 %]\n", + "Total : 0.418968 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23179 1486 273 41 10 7 4 \n", + "1 : 23224 1444 277 29 10 5 11 \n", + "2 : 23254 1408 287 30 10 5 6 \n", + "3 : 23196 1472 284 30 11 5 2 \n", + "\n", + "T : 92853 5810 1121 130 41 22 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0765e-02 sec\n", + "--- Collate = 9.8900e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.509953e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.046088e-01 > 1.000000e-01 [71331]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71331/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=24.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00143179 [ 0.33 %]\n", + "Velocity : 0.00362748 [ 0.83 %]\n", + "Force : 0.0946516 [ 21.79 %]\n", + "Coefs : 0.0169938 [ 3.91 %]\n", + "Output : 0.00173572 [ 0.40 %]\n", + "Levels : 9.8281e-05 [ 0.02 %]\n", + "Report : 1.89e-07 [ 0.00 %]\n", + "Balance : 9.2e-08 [ 0.00 %]\n", + "Adjust : 0.315851 [ 72.70 %]\n", + "Total : 0.434443 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23180 1485 277 36 9 3 10 \n", + "1 : 23221 1453 270 29 10 8 9 \n", + "2 : 23250 1410 291 26 12 5 6 \n", + "3 : 23193 1475 282 30 12 3 5 \n", + "\n", + "T : 92844 5823 1120 121 43 19 30 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1272e-02 sec\n", + "--- Collate = 9.8480e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.711607e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.046128e-01 > 1.000000e-01 [71332]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71332/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=24.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00173019 [ 0.39 %]\n", + "Velocity : 0.00399333 [ 0.90 %]\n", + "Force : 0.0860594 [ 19.47 %]\n", + "Coefs : 0.0177584 [ 4.02 %]\n", + "Output : 0.00181546 [ 0.41 %]\n", + "Levels : 8.9217e-05 [ 0.02 %]\n", + "Report : 2.19e-07 [ 0.00 %]\n", + "Balance : 1.06e-07 [ 0.00 %]\n", + "Adjust : 0.330421 [ 74.77 %]\n", + "Total : 0.441925 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23178 1489 273 38 8 4 10 \n", + "1 : 23218 1453 273 30 8 11 7 \n", + "2 : 23242 1413 298 26 9 8 4 \n", + "3 : 23192 1473 286 33 6 4 6 \n", + "\n", + "T : 92830 5828 1130 127 31 27 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0938e-02 sec\n", + "--- Collate = 8.6980e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.087654e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.046144e-01 > 1.000000e-01 [71337]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71337/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=24.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00160641 [ 0.37 %]\n", + "Velocity : 0.00397655 [ 0.91 %]\n", + "Force : 0.100496 [ 23.00 %]\n", + "Coefs : 0.0185182 [ 4.24 %]\n", + "Output : 0.00184417 [ 0.42 %]\n", + "Levels : 8.7752e-05 [ 0.02 %]\n", + "Report : 1.9e-07 [ 0.00 %]\n", + "Balance : 9.9e-08 [ 0.00 %]\n", + "Adjust : 0.310347 [ 71.03 %]\n", + "Total : 0.436932 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23181 1487 277 33 8 5 9 \n", + "1 : 23217 1455 272 30 13 5 8 \n", + "2 : 23242 1413 298 24 12 7 4 \n", + "3 : 23193 1470 288 31 8 3 7 \n", + "\n", + "T : 92833 5825 1135 118 41 20 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.2571e-02 sec\n", + "--- Collate = 9.9340e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.632074e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.046134e-01 > 1.000000e-01 [71318]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71318/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=24.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00160648 [ 0.35 %]\n", + "Velocity : 0.0038952 [ 0.84 %]\n", + "Force : 0.0964904 [ 20.77 %]\n", + "Coefs : 0.0192325 [ 4.14 %]\n", + "Output : 0.00196418 [ 0.42 %]\n", + "Levels : 9.3201e-05 [ 0.02 %]\n", + "Report : 1.71e-07 [ 0.00 %]\n", + "Balance : 1.1e-07 [ 0.00 %]\n", + "Adjust : 0.341336 [ 73.46 %]\n", + "Total : 0.464672 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23184 1483 280 29 11 9 4 \n", + "1 : 23216 1458 269 32 13 5 7 \n", + "2 : 23240 1412 300 27 10 5 6 \n", + "3 : 23189 1473 287 30 8 8 5 \n", + "\n", + "T : 92829 5826 1136 118 42 27 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0653e-02 sec\n", + "--- Collate = 1.0943e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.332581e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.046101e-01 > 1.000000e-01 [71330]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71330/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=25] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00163152 [ 0.31 %]\n", + "Velocity : 0.00388755 [ 0.73 %]\n", + "Force : 0.095984 [ 18.10 %]\n", + "Coefs : 0.0185341 [ 3.50 %]\n", + "Output : 0.0950806 [ 17.93 %]\n", + "Levels : 9.1637e-05 [ 0.02 %]\n", + "Report : 5.15e-07 [ 0.00 %]\n", + "Balance : 2.53e-07 [ 0.00 %]\n", + "Adjust : 0.314912 [ 59.40 %]\n", + "Total : 0.530177 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23175 1490 280 30 13 6 6 \n", + "1 : 23211 1461 268 33 17 5 5 \n", + "2 : 23242 1410 299 30 9 4 6 \n", + "3 : 23189 1473 291 26 8 8 5 \n", + "\n", + "T : 92817 5834 1138 119 47 23 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.2162e-02 sec\n", + "--- Collate = 9.9910e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.962463e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.046042e-01 > 1.000000e-01 [71329]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71329/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=25.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00195061 [ 0.37 %]\n", + "Velocity : 0.00462847 [ 0.88 %]\n", + "Force : 0.110344 [ 21.01 %]\n", + "Coefs : 0.0493372 [ 9.39 %]\n", + "Output : 0.00201018 [ 0.38 %]\n", + "Levels : 8.7675e-05 [ 0.02 %]\n", + "Report : 1.63e-07 [ 0.00 %]\n", + "Balance : 9.7e-08 [ 0.00 %]\n", + "Adjust : 0.356824 [ 67.94 %]\n", + "Total : 0.52524 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23169 1490 283 33 15 5 5 \n", + "1 : 23213 1456 274 34 13 8 2 \n", + "2 : 23239 1411 303 28 9 3 7 \n", + "3 : 23187 1481 284 26 12 4 6 \n", + "\n", + "T : 92808 5838 1144 121 49 20 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.3569e-02 sec\n", + "--- Collate = 1.3790e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.922775e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.045957e-01 > 1.000000e-01 [71319]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71319/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=25.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00152229 [ 0.31 %]\n", + "Velocity : 0.00512414 [ 1.04 %]\n", + "Force : 0.0964115 [ 19.60 %]\n", + "Coefs : 0.0187219 [ 3.81 %]\n", + "Output : 0.00218081 [ 0.44 %]\n", + "Levels : 0.000109308 [ 0.02 %]\n", + "Report : 1.85e-07 [ 0.00 %]\n", + "Balance : 9.5e-08 [ 0.00 %]\n", + "Adjust : 0.367803 [ 74.77 %]\n", + "Total : 0.491936 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23166 1501 270 38 11 7 7 \n", + "1 : 23213 1456 276 30 17 3 5 \n", + "2 : 23236 1418 296 29 11 4 6 \n", + "3 : 23184 1481 287 23 14 6 5 \n", + "\n", + "T : 92799 5856 1129 120 53 20 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1837e-02 sec\n", + "--- Collate = 9.0620e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.911806e-06 < 1.562500e-03 [15]\n", + "--- Max DT=3.045849e-01 > 1.000000e-01 [71322]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71322/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=25.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00207066 [ 0.45 %]\n", + "Velocity : 0.00502429 [ 1.10 %]\n", + "Force : 0.0996903 [ 21.85 %]\n", + "Coefs : 0.0197849 [ 4.34 %]\n", + "Output : 0.00186681 [ 0.41 %]\n", + "Levels : 0.000104725 [ 0.02 %]\n", + "Report : 1.72e-07 [ 0.00 %]\n", + "Balance : 9.1e-08 [ 0.00 %]\n", + "Adjust : 0.327657 [ 71.81 %]\n", + "Total : 0.456253 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23162 1502 274 39 8 6 9 \n", + "1 : 23218 1451 276 37 9 2 7 \n", + "2 : 23237 1422 292 27 13 3 6 \n", + "3 : 23180 1484 283 25 18 3 7 \n", + "\n", + "T : 92797 5859 1125 128 48 14 29 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1625e-02 sec\n", + "--- Collate = 1.0138e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.623851e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.045716e-01 > 1.000000e-01 [71331]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71331/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=25.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00168956 [ 0.32 %]\n", + "Velocity : 0.00418877 [ 0.80 %]\n", + "Force : 0.115136 [ 21.91 %]\n", + "Coefs : 0.0203742 [ 3.88 %]\n", + "Output : 0.00210148 [ 0.40 %]\n", + "Levels : 8.5477e-05 [ 0.02 %]\n", + "Report : 1.58e-07 [ 0.00 %]\n", + "Balance : 8.7e-08 [ 0.00 %]\n", + "Adjust : 0.381827 [ 72.66 %]\n", + "Total : 0.525466 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23159 1501 280 36 8 5 11 \n", + "1 : 23229 1440 275 39 9 1 7 \n", + "2 : 23237 1421 294 24 14 7 3 \n", + "3 : 23183 1485 278 27 14 6 7 \n", + "\n", + "T : 92808 5847 1127 126 45 19 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1331e-02 sec\n", + "--- Collate = 1.5379e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.358833e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.045559e-01 > 1.000000e-01 [71313]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71313/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=25.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0015792 [ 0.36 %]\n", + "Velocity : 0.00398214 [ 0.92 %]\n", + "Force : 0.0853761 [ 19.69 %]\n", + "Coefs : 0.0172168 [ 3.97 %]\n", + "Output : 0.00186229 [ 0.43 %]\n", + "Levels : 0.000118695 [ 0.03 %]\n", + "Report : 1.22e-07 [ 0.00 %]\n", + "Balance : 8.7e-08 [ 0.00 %]\n", + "Adjust : 0.323301 [ 74.58 %]\n", + "Total : 0.433495 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23161 1499 275 38 13 6 8 \n", + "1 : 23227 1441 276 37 12 4 3 \n", + "2 : 23241 1416 294 27 14 5 3 \n", + "3 : 23188 1484 276 29 9 5 9 \n", + "\n", + "T : 92817 5840 1121 131 48 20 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0785e-02 sec\n", + "--- Collate = 9.6000e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.500310e-06 < 1.562500e-03 [7]\n", + "--- Max DT=3.045377e-01 > 1.000000e-01 [71312]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71312/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=25.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00168821 [ 0.39 %]\n", + "Velocity : 0.00398106 [ 0.92 %]\n", + "Force : 0.0985159 [ 22.78 %]\n", + "Coefs : 0.0176569 [ 4.08 %]\n", + "Output : 0.00163257 [ 0.38 %]\n", + "Levels : 9.2469e-05 [ 0.02 %]\n", + "Report : 1.6e-07 [ 0.00 %]\n", + "Balance : 8e-08 [ 0.00 %]\n", + "Adjust : 0.308938 [ 71.42 %]\n", + "Total : 0.432558 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23162 1504 268 40 12 11 3 \n", + "1 : 23228 1438 279 33 16 5 1 \n", + "2 : 23244 1413 295 28 9 5 6 \n", + "3 : 23193 1480 277 26 10 6 8 \n", + "\n", + "T : 92827 5835 1119 127 47 27 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.6197e-02 sec\n", + "--- Collate = 1.2413e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.696788e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.045170e-01 > 1.000000e-01 [71299]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71299/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=25.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00157433 [ 0.36 %]\n", + "Velocity : 0.00416345 [ 0.94 %]\n", + "Force : 0.0843014 [ 19.07 %]\n", + "Coefs : 0.0192408 [ 4.35 %]\n", + "Output : 0.0017099 [ 0.39 %]\n", + "Levels : 9.873e-05 [ 0.02 %]\n", + "Report : 1.72e-07 [ 0.00 %]\n", + "Balance : 9.2e-08 [ 0.00 %]\n", + "Adjust : 0.330993 [ 74.86 %]\n", + "Total : 0.442131 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23161 1505 271 38 13 9 3 \n", + "1 : 23225 1439 274 39 16 5 2 \n", + "2 : 23240 1420 294 29 8 1 8 \n", + "3 : 23191 1483 275 27 12 5 7 \n", + "\n", + "T : 92817 5847 1114 133 49 20 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 2.1982e-02 sec\n", + "--- Collate = 1.2931e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.362674e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.044938e-01 > 1.000000e-01 [71297]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71297/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=25.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00191283 [ 0.38 %]\n", + "Velocity : 0.00509801 [ 1.03 %]\n", + "Force : 0.104495 [ 21.03 %]\n", + "Coefs : 0.0262762 [ 5.29 %]\n", + "Output : 0.00200171 [ 0.40 %]\n", + "Levels : 0.000104483 [ 0.02 %]\n", + "Report : 1.89e-07 [ 0.00 %]\n", + "Balance : 1.1e-07 [ 0.00 %]\n", + "Adjust : 0.356987 [ 71.84 %]\n", + "Total : 0.496944 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23162 1506 270 39 14 3 6 \n", + "1 : 23225 1435 282 37 14 3 4 \n", + "2 : 23234 1427 290 32 7 4 6 \n", + "3 : 23186 1490 276 25 10 8 5 \n", + "\n", + "T : 92807 5858 1118 133 45 18 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 2.0505e-02 sec\n", + "--- Collate = 1.1829e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.297986e-06 < 1.562500e-03 [10]\n", + "--- Max DT=3.044681e-01 > 1.000000e-01 [71313]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71313/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=25.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00187507 [ 0.34 %]\n", + "Velocity : 0.00475283 [ 0.85 %]\n", + "Force : 0.121123 [ 21.65 %]\n", + "Coefs : 0.0314845 [ 5.63 %]\n", + "Output : 0.0019997 [ 0.36 %]\n", + "Levels : 0.000113669 [ 0.02 %]\n", + "Report : 2.04e-07 [ 0.00 %]\n", + "Balance : 1.1e-07 [ 0.00 %]\n", + "Adjust : 0.398148 [ 71.15 %]\n", + "Total : 0.559562 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23165 1503 271 37 14 3 7 \n", + "1 : 23223 1437 283 36 12 3 6 \n", + "2 : 23238 1425 290 31 5 6 5 \n", + "3 : 23182 1493 278 24 9 8 6 \n", + "\n", + "T : 92808 5858 1122 128 40 20 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1960e-02 sec\n", + "--- Collate = 9.9690e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.046984e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.044395e-01 > 1.000000e-01 [71330]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71330/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=26] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00231734 [ 0.37 %]\n", + "Velocity : 0.0052476 [ 0.84 %]\n", + "Force : 0.109441 [ 17.48 %]\n", + "Coefs : 0.0301388 [ 4.81 %]\n", + "Output : 0.137075 [ 21.89 %]\n", + "Levels : 0.000103601 [ 0.02 %]\n", + "Report : 4.68e-07 [ 0.00 %]\n", + "Balance : 2.74e-07 [ 0.00 %]\n", + "Adjust : 0.341729 [ 54.58 %]\n", + "Total : 0.626111 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23162 1505 275 34 14 5 5 \n", + "1 : 23224 1439 279 38 10 4 6 \n", + "2 : 23232 1430 292 28 11 5 2 \n", + "3 : 23185 1491 275 27 12 5 5 \n", + "\n", + "T : 92803 5865 1121 127 47 19 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.5611e-02 sec\n", + "--- Collate = 1.4981e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.367853e-05 < 1.562500e-03 [6]\n", + "--- Max DT=3.044084e-01 > 1.000000e-01 [71321]\n", + "----------------------------------------------------------------------\n", + " Component | low: 6/100000\n", + " Component | high: 71321/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=26.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00192119 [ 0.35 %]\n", + "Velocity : 0.0045482 [ 0.83 %]\n", + "Force : 0.118551 [ 21.63 %]\n", + "Coefs : 0.0287896 [ 5.25 %]\n", + "Output : 0.00228176 [ 0.42 %]\n", + "Levels : 0.000140599 [ 0.03 %]\n", + "Report : 3.63e-07 [ 0.00 %]\n", + "Balance : 1.73e-07 [ 0.00 %]\n", + "Adjust : 0.391866 [ 71.49 %]\n", + "Total : 0.548163 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23163 1505 277 35 9 9 2 \n", + "1 : 23225 1440 275 41 9 4 6 \n", + "2 : 23232 1431 291 26 14 4 2 \n", + "3 : 23186 1486 277 31 12 3 5 \n", + "\n", + "T : 92806 5862 1120 133 44 20 15 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.8997e-02 sec\n", + "--- Collate = 1.5757e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.759595e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.043744e-01 > 1.000000e-01 [71310]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71310/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=26.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00163982 [ 0.33 %]\n", + "Velocity : 0.00522588 [ 1.06 %]\n", + "Force : 0.106017 [ 21.50 %]\n", + "Coefs : 0.0222455 [ 4.51 %]\n", + "Output : 0.00205012 [ 0.42 %]\n", + "Levels : 0.000166053 [ 0.03 %]\n", + "Report : 7.14e-07 [ 0.00 %]\n", + "Balance : 1.88e-07 [ 0.00 %]\n", + "Adjust : 0.355667 [ 72.13 %]\n", + "Total : 0.493071 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23158 1508 281 31 10 7 5 \n", + "1 : 23225 1438 279 35 13 5 5 \n", + "2 : 23227 1438 291 25 12 5 2 \n", + "3 : 23191 1481 280 31 10 4 3 \n", + "\n", + "T : 92801 5865 1131 122 45 21 15 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.5990e-02 sec\n", + "--- Collate = 1.2578e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.361117e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.043377e-01 > 1.000000e-01 [71319]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71319/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=26.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00244085 [ 0.54 %]\n", + "Velocity : 0.00485934 [ 1.07 %]\n", + "Force : 0.0997403 [ 21.87 %]\n", + "Coefs : 0.0263504 [ 5.78 %]\n", + "Output : 0.00173464 [ 0.38 %]\n", + "Levels : 0.000121042 [ 0.03 %]\n", + "Report : 1.86e-07 [ 0.00 %]\n", + "Balance : 1.61e-07 [ 0.00 %]\n", + "Adjust : 0.320818 [ 70.34 %]\n", + "Total : 0.45612 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23156 1514 278 31 7 7 7 \n", + "1 : 23224 1439 282 33 13 6 3 \n", + "2 : 23230 1438 290 23 11 3 5 \n", + "3 : 23193 1479 278 35 9 4 2 \n", + "\n", + "T : 92803 5870 1128 122 40 20 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0826e-02 sec\n", + "--- Collate = 1.4090e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.575926e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.042983e-01 > 1.000000e-01 [71303]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71303/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=26.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00224112 [ 0.48 %]\n", + "Velocity : 0.00468749 [ 1.00 %]\n", + "Force : 0.104141 [ 22.12 %]\n", + "Coefs : 0.0251522 [ 5.34 %]\n", + "Output : 0.00187394 [ 0.40 %]\n", + "Levels : 0.000114718 [ 0.02 %]\n", + "Report : 1.71e-07 [ 0.00 %]\n", + "Balance : 1.07e-07 [ 0.00 %]\n", + "Adjust : 0.332588 [ 70.63 %]\n", + "Total : 0.470857 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23157 1510 281 32 6 5 9 \n", + "1 : 23225 1441 281 31 12 6 4 \n", + "2 : 23231 1437 289 23 12 1 7 \n", + "3 : 23193 1476 279 33 12 4 3 \n", + "\n", + "T : 92806 5864 1130 119 42 16 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.2854e-02 sec\n", + "--- Collate = 1.0584e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.959368e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.042558e-01 > 1.000000e-01 [71302]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71302/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=26.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00156042 [ 0.34 %]\n", + "Velocity : 0.00394012 [ 0.85 %]\n", + "Force : 0.100483 [ 21.74 %]\n", + "Coefs : 0.0220343 [ 4.77 %]\n", + "Output : 0.00193097 [ 0.42 %]\n", + "Levels : 9.0006e-05 [ 0.02 %]\n", + "Report : 1.73e-07 [ 0.00 %]\n", + "Balance : 1.17e-07 [ 0.00 %]\n", + "Adjust : 0.332082 [ 71.85 %]\n", + "Total : 0.462184 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23153 1512 280 36 6 5 8 \n", + "1 : 23223 1444 279 35 10 4 5 \n", + "2 : 23235 1434 293 18 9 4 7 \n", + "3 : 23190 1482 276 34 11 2 5 \n", + "\n", + "T : 92801 5872 1128 123 36 15 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0962e-02 sec\n", + "--- Collate = 9.6700e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.396423e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.042104e-01 > 1.000000e-01 [71298]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71298/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=26.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00189444 [ 0.41 %]\n", + "Velocity : 0.00391252 [ 0.84 %]\n", + "Force : 0.10558 [ 22.74 %]\n", + "Coefs : 0.0255925 [ 5.51 %]\n", + "Output : 0.00183178 [ 0.39 %]\n", + "Levels : 8.3173e-05 [ 0.02 %]\n", + "Report : 1.62e-07 [ 0.00 %]\n", + "Balance : 1.57e-07 [ 0.00 %]\n", + "Adjust : 0.325436 [ 70.08 %]\n", + "Total : 0.464387 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23155 1509 277 37 8 7 7 \n", + "1 : 23230 1439 277 36 11 1 6 \n", + "2 : 23237 1432 292 21 6 8 4 \n", + "3 : 23187 1481 282 29 13 3 5 \n", + "\n", + "T : 92809 5861 1128 123 38 19 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1844e-02 sec\n", + "--- Collate = 9.3690e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.893403e-04 < 1.562500e-03 [8]\n", + "--- Max DT=3.041619e-01 > 1.000000e-01 [71299]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71299/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=26.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0015235 [ 0.35 %]\n", + "Velocity : 0.00391155 [ 0.89 %]\n", + "Force : 0.0839967 [ 19.19 %]\n", + "Coefs : 0.0175972 [ 4.02 %]\n", + "Output : 0.00171784 [ 0.39 %]\n", + "Levels : 9.9961e-05 [ 0.02 %]\n", + "Report : 1.51e-07 [ 0.00 %]\n", + "Balance : 7.2e-08 [ 0.00 %]\n", + "Adjust : 0.328866 [ 75.12 %]\n", + "Total : 0.437771 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23153 1515 274 35 11 6 6 \n", + "1 : 23227 1443 275 34 12 6 3 \n", + "2 : 23241 1422 302 18 5 8 4 \n", + "3 : 23183 1484 284 28 11 5 5 \n", + "\n", + "T : 92804 5864 1135 115 39 25 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0594e-02 sec\n", + "--- Collate = 1.0328e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.018464e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.041105e-01 > 1.000000e-01 [71293]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71293/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=26.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00149883 [ 0.35 %]\n", + "Velocity : 0.00370781 [ 0.86 %]\n", + "Force : 0.100543 [ 23.20 %]\n", + "Coefs : 0.0175654 [ 4.05 %]\n", + "Output : 0.00156574 [ 0.36 %]\n", + "Levels : 9.1927e-05 [ 0.02 %]\n", + "Report : 1.64e-07 [ 0.00 %]\n", + "Balance : 8.5e-08 [ 0.00 %]\n", + "Adjust : 0.308329 [ 71.15 %]\n", + "Total : 0.433354 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23158 1509 275 35 14 4 5 \n", + "1 : 23228 1439 285 26 15 2 5 \n", + "2 : 23242 1423 303 17 8 2 5 \n", + "3 : 23182 1488 282 23 10 11 4 \n", + "\n", + "T : 92810 5859 1145 101 47 19 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.4447e-02 sec\n", + "--- Collate = 1.2168e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.240228e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.040878e-01 > 1.000000e-01 [71300]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71300/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=26.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00161338 [ 0.34 %]\n", + "Velocity : 0.00410036 [ 0.86 %]\n", + "Force : 0.0917945 [ 19.16 %]\n", + "Coefs : 0.017242 [ 3.60 %]\n", + "Output : 0.00193258 [ 0.40 %]\n", + "Levels : 9.8085e-05 [ 0.02 %]\n", + "Report : 1.9e-07 [ 0.00 %]\n", + "Balance : 1.32e-07 [ 0.00 %]\n", + "Adjust : 0.36226 [ 75.61 %]\n", + "Total : 0.4791 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23160 1506 282 28 15 6 3 \n", + "1 : 23224 1437 291 25 17 3 3 \n", + "2 : 23240 1424 305 11 13 3 4 \n", + "3 : 23177 1495 282 23 10 4 9 \n", + "\n", + "T : 92801 5862 1160 87 55 16 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.9072e-02 sec\n", + "--- Collate = 1.2770e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.400352e-04 < 1.562500e-03 [8]\n", + "--- Max DT=3.040744e-01 > 1.000000e-01 [71314]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71314/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=27] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00205221 [ 0.31 %]\n", + "Velocity : 0.00444306 [ 0.68 %]\n", + "Force : 0.114133 [ 17.37 %]\n", + "Coefs : 0.0292985 [ 4.46 %]\n", + "Output : 0.125952 [ 19.17 %]\n", + "Levels : 8.6485e-05 [ 0.01 %]\n", + "Report : 1.82e-07 [ 0.00 %]\n", + "Balance : 1.46e-07 [ 0.00 %]\n", + "Adjust : 0.381164 [ 58.00 %]\n", + "Total : 0.657188 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23158 1508 281 34 9 5 5 \n", + "1 : 23225 1435 287 37 9 4 3 \n", + "2 : 23236 1427 304 16 10 3 4 \n", + "3 : 23180 1494 280 22 10 5 9 \n", + "\n", + "T : 92799 5864 1152 109 38 17 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0722e-02 sec\n", + "--- Collate = 9.6770e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.345603e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.040602e-01 > 1.000000e-01 [71302]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71302/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=27.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00140633 [ 0.30 %]\n", + "Velocity : 0.00371358 [ 0.80 %]\n", + "Force : 0.102191 [ 22.09 %]\n", + "Coefs : 0.0440003 [ 9.51 %]\n", + "Output : 0.00167734 [ 0.36 %]\n", + "Levels : 9.2702e-05 [ 0.02 %]\n", + "Report : 1.89e-07 [ 0.00 %]\n", + "Balance : 1.25e-07 [ 0.00 %]\n", + "Adjust : 0.309499 [ 66.90 %]\n", + "Total : 0.462631 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23157 1505 280 37 7 8 6 \n", + "1 : 23225 1434 289 31 11 6 4 \n", + "2 : 23234 1429 301 19 11 3 3 \n", + "3 : 23171 1503 281 21 11 6 7 \n", + "\n", + "T : 92787 5871 1151 108 40 23 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1453e-02 sec\n", + "--- Collate = 9.1900e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.836140e-04 < 1.562500e-03 [10]\n", + "--- Max DT=3.040455e-01 > 1.000000e-01 [71299]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71299/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=27.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00152819 [ 0.33 %]\n", + "Velocity : 0.00448276 [ 0.98 %]\n", + "Force : 0.101978 [ 22.26 %]\n", + "Coefs : 0.0171691 [ 3.75 %]\n", + "Output : 0.00204928 [ 0.45 %]\n", + "Levels : 8.1086e-05 [ 0.02 %]\n", + "Report : 1.67e-07 [ 0.00 %]\n", + "Balance : 9.2e-08 [ 0.00 %]\n", + "Adjust : 0.330786 [ 72.20 %]\n", + "Total : 0.458136 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23153 1511 280 35 8 5 8 \n", + "1 : 23216 1446 281 36 10 5 6 \n", + "2 : 23233 1431 299 21 11 1 4 \n", + "3 : 23171 1501 282 25 10 7 4 \n", + "\n", + "T : 92773 5889 1142 117 39 18 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.2726e-02 sec\n", + "--- Collate = 1.0293e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.808804e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.040304e-01 > 1.000000e-01 [71282]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71282/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=27.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0026068 [ 0.50 %]\n", + "Velocity : 0.00546381 [ 1.06 %]\n", + "Force : 0.115426 [ 22.32 %]\n", + "Coefs : 0.0216453 [ 4.19 %]\n", + "Output : 0.00218347 [ 0.42 %]\n", + "Levels : 9.2543e-05 [ 0.02 %]\n", + "Report : 1.76e-07 [ 0.00 %]\n", + "Balance : 1.13e-07 [ 0.00 %]\n", + "Adjust : 0.369654 [ 71.48 %]\n", + "Total : 0.517135 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23152 1511 280 38 6 5 8 \n", + "1 : 23211 1453 276 39 9 4 8 \n", + "2 : 23236 1429 294 26 8 5 2 \n", + "3 : 23180 1487 288 27 5 10 3 \n", + "\n", + "T : 92779 5880 1138 130 28 24 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0743e-02 sec\n", + "--- Collate = 1.0407e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.708977e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.040147e-01 > 1.000000e-01 [71280]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71280/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=27.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00190355 [ 0.43 %]\n", + "Velocity : 0.00436888 [ 0.99 %]\n", + "Force : 0.100155 [ 22.73 %]\n", + "Coefs : 0.0268236 [ 6.09 %]\n", + "Output : 0.00158846 [ 0.36 %]\n", + "Levels : 8.8095e-05 [ 0.02 %]\n", + "Report : 1.77e-07 [ 0.00 %]\n", + "Balance : 1.23e-07 [ 0.00 %]\n", + "Adjust : 0.305575 [ 69.36 %]\n", + "Total : 0.440553 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23149 1516 277 36 9 7 6 \n", + "1 : 23219 1446 275 37 9 5 9 \n", + "2 : 23238 1424 296 26 7 6 3 \n", + "3 : 23180 1489 286 30 7 3 5 \n", + "\n", + "T : 92786 5875 1134 129 32 21 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1676e-02 sec\n", + "--- Collate = 8.5060e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.839903e-04 < 1.562500e-03 [10]\n", + "--- Max DT=3.039985e-01 > 1.000000e-01 [71277]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71277/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=27.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0015685 [ 0.33 %]\n", + "Velocity : 0.00480394 [ 1.01 %]\n", + "Force : 0.102955 [ 21.70 %]\n", + "Coefs : 0.0171846 [ 3.62 %]\n", + "Output : 0.0020068 [ 0.42 %]\n", + "Levels : 0.000104117 [ 0.02 %]\n", + "Report : 1.76e-07 [ 0.00 %]\n", + "Balance : 1.53e-07 [ 0.00 %]\n", + "Adjust : 0.345799 [ 72.88 %]\n", + "Total : 0.474483 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23153 1511 285 30 11 5 5 \n", + "1 : 23219 1441 284 36 8 4 8 \n", + "2 : 23232 1434 288 28 11 3 4 \n", + "3 : 23182 1489 287 27 7 4 4 \n", + "\n", + "T : 92786 5875 1144 121 37 16 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0454e-02 sec\n", + "--- Collate = 2.1033e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.418651e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.039819e-01 > 1.000000e-01 [71273]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71273/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=27.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00217573 [ 0.42 %]\n", + "Velocity : 0.00398758 [ 0.77 %]\n", + "Force : 0.115067 [ 22.12 %]\n", + "Coefs : 0.028328 [ 5.45 %]\n", + "Output : 0.00194515 [ 0.37 %]\n", + "Levels : 7.8846e-05 [ 0.02 %]\n", + "Report : 1.63e-07 [ 0.00 %]\n", + "Balance : 7e-08 [ 0.00 %]\n", + "Adjust : 0.368428 [ 70.84 %]\n", + "Total : 0.520081 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23149 1518 282 30 10 8 3 \n", + "1 : 23223 1439 282 34 10 6 6 \n", + "2 : 23234 1431 289 29 8 4 5 \n", + "3 : 23179 1495 280 31 8 3 4 \n", + "\n", + "T : 92785 5883 1133 124 36 21 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.4188e-02 sec\n", + "--- Collate = 1.1911e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.228449e-04 < 1.562500e-03 [5]\n", + "--- Max DT=3.039648e-01 > 1.000000e-01 [71262]\n", + "----------------------------------------------------------------------\n", + " Component | low: 5/100000\n", + " Component | high: 71262/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=27.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0014764 [ 0.34 %]\n", + "Velocity : 0.00388437 [ 0.90 %]\n", + "Force : 0.0841808 [ 19.57 %]\n", + "Coefs : 0.0165853 [ 3.86 %]\n", + "Output : 0.0017128 [ 0.40 %]\n", + "Levels : 8.6429e-05 [ 0.02 %]\n", + "Report : 1.76e-07 [ 0.00 %]\n", + "Balance : 9.1e-08 [ 0.00 %]\n", + "Adjust : 0.322156 [ 74.90 %]\n", + "Total : 0.430134 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23154 1514 280 34 9 3 6 \n", + "1 : 23220 1448 280 33 8 6 5 \n", + "2 : 23231 1433 288 26 14 3 5 \n", + "3 : 23183 1494 277 33 5 6 2 \n", + "\n", + "T : 92788 5889 1125 126 36 18 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1078e-02 sec\n", + "--- Collate = 9.0080e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.055393e-04 < 1.562500e-03 [12]\n", + "--- Max DT=3.039472e-01 > 1.000000e-01 [71280]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71280/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=27.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00175733 [ 0.38 %]\n", + "Velocity : 0.0041173 [ 0.89 %]\n", + "Force : 0.105092 [ 22.76 %]\n", + "Coefs : 0.0228321 [ 4.95 %]\n", + "Output : 0.00189024 [ 0.41 %]\n", + "Levels : 9.0822e-05 [ 0.02 %]\n", + "Report : 1.75e-07 [ 0.00 %]\n", + "Balance : 8.9e-08 [ 0.00 %]\n", + "Adjust : 0.325861 [ 70.58 %]\n", + "Total : 0.461697 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23147 1514 284 41 5 3 6 \n", + "1 : 23216 1451 278 36 7 7 5 \n", + "2 : 23230 1437 287 22 12 8 4 \n", + "3 : 23188 1491 275 31 6 5 4 \n", + "\n", + "T : 92781 5893 1124 130 30 23 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1202e-02 sec\n", + "--- Collate = 9.8440e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.218365e-06 < 1.562500e-03 [15]\n", + "--- Max DT=3.039728e-01 > 1.000000e-01 [71275]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71275/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=27.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00164759 [ 0.38 %]\n", + "Velocity : 0.00372028 [ 0.86 %]\n", + "Force : 0.0995879 [ 23.08 %]\n", + "Coefs : 0.0196172 [ 4.55 %]\n", + "Output : 0.00174727 [ 0.40 %]\n", + "Levels : 8.6731e-05 [ 0.02 %]\n", + "Report : 1.59e-07 [ 0.00 %]\n", + "Balance : 1e-07 [ 0.00 %]\n", + "Adjust : 0.305029 [ 70.69 %]\n", + "Total : 0.431487 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23147 1513 286 39 7 1 7 \n", + "1 : 23205 1462 279 35 7 7 5 \n", + "2 : 23228 1436 287 25 11 9 4 \n", + "3 : 23185 1496 275 30 6 2 6 \n", + "\n", + "T : 92765 5907 1127 129 31 19 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1059e-02 sec\n", + "--- Collate = 9.7320e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.832683e-06 < 1.562500e-03 [7]\n", + "--- Max DT=3.040739e-01 > 1.000000e-01 [71268]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71268/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=28] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00170339 [ 0.32 %]\n", + "Velocity : 0.00407667 [ 0.75 %]\n", + "Force : 0.091826 [ 16.99 %]\n", + "Coefs : 0.0177001 [ 3.28 %]\n", + "Output : 0.0953563 [ 17.65 %]\n", + "Levels : 8.1991e-05 [ 0.02 %]\n", + "Report : 7.75e-07 [ 0.00 %]\n", + "Balance : 5.05e-07 [ 0.00 %]\n", + "Adjust : 0.329614 [ 60.99 %]\n", + "Total : 0.54041 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23139 1522 283 39 9 5 3 \n", + "1 : 23205 1459 283 28 15 5 5 \n", + "2 : 23233 1432 285 26 11 5 8 \n", + "3 : 23187 1495 275 28 6 3 6 \n", + "\n", + "T : 92764 5908 1126 121 41 18 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0915e-02 sec\n", + "--- Collate = 8.7410e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.794969e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.041700e-01 > 1.000000e-01 [71279]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71279/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=28.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.004424 [ 0.95 %]\n", + "Velocity : 0.00447694 [ 0.96 %]\n", + "Force : 0.102492 [ 22.03 %]\n", + "Coefs : 0.035717 [ 7.68 %]\n", + "Output : 0.00156348 [ 0.34 %]\n", + "Levels : 8.4529e-05 [ 0.02 %]\n", + "Report : 1.71e-07 [ 0.00 %]\n", + "Balance : 9.3e-08 [ 0.00 %]\n", + "Adjust : 0.316527 [ 68.02 %]\n", + "Total : 0.465337 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23140 1523 282 38 8 7 2 \n", + "1 : 23207 1456 285 29 14 4 5 \n", + "2 : 23231 1439 284 23 8 7 8 \n", + "3 : 23185 1496 276 23 9 8 3 \n", + "\n", + "T : 92763 5914 1127 113 39 26 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1239e-02 sec\n", + "--- Collate = 9.4770e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.206175e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.042614e-01 > 1.000000e-01 [71292]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71292/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=28.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00153289 [ 0.35 %]\n", + "Velocity : 0.00375877 [ 0.85 %]\n", + "Force : 0.0891443 [ 20.25 %]\n", + "Coefs : 0.0170475 [ 3.87 %]\n", + "Output : 0.00180326 [ 0.41 %]\n", + "Levels : 9.2324e-05 [ 0.02 %]\n", + "Report : 1.62e-07 [ 0.00 %]\n", + "Balance : 1.07e-07 [ 0.00 %]\n", + "Adjust : 0.326881 [ 74.24 %]\n", + "Total : 0.440314 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23143 1521 281 37 10 4 4 \n", + "1 : 23209 1456 282 34 10 3 6 \n", + "2 : 23227 1445 285 19 10 4 10 \n", + "3 : 23187 1499 270 23 9 8 4 \n", + "\n", + "T : 92766 5921 1118 113 39 19 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0584e-02 sec\n", + "--- Collate = 9.5870e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.220380e-07 < 1.562500e-03 [15]\n", + "--- Max DT=3.043477e-01 > 1.000000e-01 [71293]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71293/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=28.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0015289 [ 0.34 %]\n", + "Velocity : 0.00372151 [ 0.84 %]\n", + "Force : 0.0987311 [ 22.21 %]\n", + "Coefs : 0.0181065 [ 4.07 %]\n", + "Output : 0.00170032 [ 0.38 %]\n", + "Levels : 9.6181e-05 [ 0.02 %]\n", + "Report : 1.78e-07 [ 0.00 %]\n", + "Balance : 1.53e-07 [ 0.00 %]\n", + "Adjust : 0.320635 [ 72.12 %]\n", + "Total : 0.444571 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23144 1516 286 36 11 1 6 \n", + "1 : 23208 1458 282 34 7 7 4 \n", + "2 : 23227 1445 284 19 12 5 8 \n", + "3 : 23190 1494 269 24 13 4 6 \n", + "\n", + "T : 92769 5913 1121 113 43 17 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0747e-02 sec\n", + "--- Collate = 9.6230e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.603764e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.044294e-01 > 1.000000e-01 [71286]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71286/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=28.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00152612 [ 0.34 %]\n", + "Velocity : 0.00407511 [ 0.91 %]\n", + "Force : 0.0976919 [ 21.71 %]\n", + "Coefs : 0.0174571 [ 3.88 %]\n", + "Output : 0.00153324 [ 0.34 %]\n", + "Levels : 9.1767e-05 [ 0.02 %]\n", + "Report : 1.64e-07 [ 0.00 %]\n", + "Balance : 1.13e-07 [ 0.00 %]\n", + "Adjust : 0.327536 [ 72.79 %]\n", + "Total : 0.449963 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23146 1514 288 36 8 2 6 \n", + "1 : 23213 1451 284 36 8 4 4 \n", + "2 : 23226 1445 286 20 10 6 7 \n", + "3 : 23190 1494 269 24 10 6 7 \n", + "\n", + "T : 92775 5904 1127 116 36 18 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0945e-02 sec\n", + "--- Collate = 1.2447e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.094292e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.045066e-01 > 1.000000e-01 [71288]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71288/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=28.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00150375 [ 0.33 %]\n", + "Velocity : 0.00367102 [ 0.81 %]\n", + "Force : 0.0956699 [ 21.16 %]\n", + "Coefs : 0.0173953 [ 3.85 %]\n", + "Output : 0.00174681 [ 0.39 %]\n", + "Levels : 0.000123824 [ 0.03 %]\n", + "Report : 1.36e-07 [ 0.00 %]\n", + "Balance : 1.67e-07 [ 0.00 %]\n", + "Adjust : 0.332032 [ 73.43 %]\n", + "Total : 0.452196 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23151 1504 291 37 7 7 3 \n", + "1 : 23214 1449 285 35 8 3 6 \n", + "2 : 23224 1447 288 21 8 4 8 \n", + "3 : 23185 1502 269 24 6 9 5 \n", + "\n", + "T : 92774 5902 1133 117 29 23 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1578e-02 sec\n", + "--- Collate = 1.0261e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.686612e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.045796e-01 > 1.000000e-01 [71294]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71294/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=28.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00180917 [ 0.41 %]\n", + "Velocity : 0.00437587 [ 1.00 %]\n", + "Force : 0.0880446 [ 20.18 %]\n", + "Coefs : 0.0180915 [ 4.15 %]\n", + "Output : 0.00167475 [ 0.38 %]\n", + "Levels : 8.7158e-05 [ 0.02 %]\n", + "Report : 1.78e-07 [ 0.00 %]\n", + "Balance : 1.79e-07 [ 0.00 %]\n", + "Adjust : 0.322113 [ 73.84 %]\n", + "Total : 0.436248 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23147 1508 295 28 10 9 3 \n", + "1 : 23218 1441 289 34 5 6 7 \n", + "2 : 23218 1456 282 23 9 6 6 \n", + "3 : 23190 1504 260 28 8 5 5 \n", + "\n", + "T : 92773 5909 1126 113 32 26 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1581e-02 sec\n", + "--- Collate = 9.6020e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.392163e-06 < 1.562500e-03 [14]\n", + "--- Max DT=3.046483e-01 > 1.000000e-01 [71292]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71292/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=28.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00189954 [ 0.44 %]\n", + "Velocity : 0.00467847 [ 1.09 %]\n", + "Force : 0.0970876 [ 22.57 %]\n", + "Coefs : 0.0204878 [ 4.76 %]\n", + "Output : 0.00163976 [ 0.38 %]\n", + "Levels : 8.0995e-05 [ 0.02 %]\n", + "Report : 1.76e-07 [ 0.00 %]\n", + "Balance : 1.11e-07 [ 0.00 %]\n", + "Adjust : 0.304174 [ 70.72 %]\n", + "Total : 0.430098 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23146 1512 291 27 16 4 4 \n", + "1 : 23221 1438 284 38 8 2 9 \n", + "2 : 23214 1459 283 24 6 5 9 \n", + "3 : 23194 1493 263 33 9 4 4 \n", + "\n", + "T : 92775 5902 1121 122 39 15 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0621e-02 sec\n", + "--- Collate = 9.3930e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.534127e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.047125e-01 > 1.000000e-01 [71304]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71304/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=28.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00154333 [ 0.36 %]\n", + "Velocity : 0.0037246 [ 0.87 %]\n", + "Force : 0.0880397 [ 20.49 %]\n", + "Coefs : 0.0175253 [ 4.08 %]\n", + "Output : 0.00171455 [ 0.40 %]\n", + "Levels : 8.5365e-05 [ 0.02 %]\n", + "Report : 1.69e-07 [ 0.00 %]\n", + "Balance : 1.07e-07 [ 0.00 %]\n", + "Adjust : 0.316986 [ 73.77 %]\n", + "Total : 0.429673 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23146 1511 290 31 10 6 6 \n", + "1 : 23224 1435 282 37 13 4 5 \n", + "2 : 23217 1453 284 25 10 3 8 \n", + "3 : 23191 1494 267 31 10 2 5 \n", + "\n", + "T : 92778 5893 1123 124 43 15 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.2969e-02 sec\n", + "--- Collate = 1.0088e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.289606e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.047723e-01 > 1.000000e-01 [71305]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71305/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=28.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00152361 [ 0.32 %]\n", + "Velocity : 0.00431673 [ 0.91 %]\n", + "Force : 0.106559 [ 22.46 %]\n", + "Coefs : 0.0222765 [ 4.70 %]\n", + "Output : 0.0019413 [ 0.41 %]\n", + "Levels : 9.414e-05 [ 0.02 %]\n", + "Report : 1.79e-07 [ 0.00 %]\n", + "Balance : 1.24e-07 [ 0.00 %]\n", + "Adjust : 0.337667 [ 71.17 %]\n", + "Total : 0.474434 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23145 1514 287 33 7 4 10 \n", + "1 : 23224 1435 281 40 9 5 6 \n", + "2 : 23220 1449 284 28 7 6 6 \n", + "3 : 23189 1501 264 29 7 6 4 \n", + "\n", + "T : 92778 5899 1116 130 30 21 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.2119e-02 sec\n", + "--- Collate = 1.6874e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.012065e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.048279e-01 > 1.000000e-01 [71295]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71295/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=29] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00155343 [ 0.30 %]\n", + "Velocity : 0.00369849 [ 0.72 %]\n", + "Force : 0.0872791 [ 16.98 %]\n", + "Coefs : 0.0183501 [ 3.57 %]\n", + "Output : 0.0850897 [ 16.55 %]\n", + "Levels : 8.9042e-05 [ 0.02 %]\n", + "Report : 2.9e-07 [ 0.00 %]\n", + "Balance : 1.55e-07 [ 0.00 %]\n", + "Adjust : 0.318011 [ 61.85 %]\n", + "Total : 0.514125 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23139 1520 284 38 7 3 9 \n", + "1 : 23227 1437 280 35 9 9 3 \n", + "2 : 23219 1450 283 29 11 4 4 \n", + "3 : 23184 1506 264 28 12 2 4 \n", + "\n", + "T : 92769 5913 1111 130 39 18 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0485e-02 sec\n", + "--- Collate = 2.1164e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.237723e-04 < 1.562500e-03 [8]\n", + "--- Max DT=3.048790e-01 > 1.000000e-01 [71281]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71281/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=29.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00126817 [ 0.24 %]\n", + "Velocity : 0.0034622 [ 0.64 %]\n", + "Force : 0.113415 [ 21.11 %]\n", + "Coefs : 0.0734816 [ 13.68 %]\n", + "Output : 0.00177686 [ 0.33 %]\n", + "Levels : 7.9815e-05 [ 0.01 %]\n", + "Report : 1.63e-07 [ 0.00 %]\n", + "Balance : 9.3e-08 [ 0.00 %]\n", + "Adjust : 0.343705 [ 63.97 %]\n", + "Total : 0.537249 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23137 1522 284 35 11 3 8 \n", + "1 : 23225 1439 279 34 13 2 8 \n", + "2 : 23218 1452 284 24 12 7 3 \n", + "3 : 23177 1506 270 27 13 3 4 \n", + "\n", + "T : 92757 5919 1117 120 49 15 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.8753e-02 sec\n", + "--- Collate = 1.4107e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.085542e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.049260e-01 > 1.000000e-01 [71279]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71279/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=29.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00161106 [ 0.35 %]\n", + "Velocity : 0.00463175 [ 1.00 %]\n", + "Force : 0.101435 [ 21.87 %]\n", + "Coefs : 0.0167091 [ 3.60 %]\n", + "Output : 0.00187823 [ 0.41 %]\n", + "Levels : 0.000123734 [ 0.03 %]\n", + "Report : 2.35e-07 [ 0.00 %]\n", + "Balance : 1.23e-07 [ 0.00 %]\n", + "Adjust : 0.337302 [ 72.73 %]\n", + "Total : 0.463746 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23143 1516 285 34 11 6 5 \n", + "1 : 23215 1449 279 31 18 2 6 \n", + "2 : 23214 1453 281 29 14 3 6 \n", + "3 : 23175 1501 274 30 12 5 3 \n", + "\n", + "T : 92747 5919 1119 124 55 16 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.9213e-02 sec\n", + "--- Collate = 1.1373e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.625883e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.049686e-01 > 1.000000e-01 [71275]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71275/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=29.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00210601 [ 0.42 %]\n", + "Velocity : 0.00448051 [ 0.90 %]\n", + "Force : 0.109425 [ 21.97 %]\n", + "Coefs : 0.0278374 [ 5.59 %]\n", + "Output : 0.00171959 [ 0.35 %]\n", + "Levels : 0.000112469 [ 0.02 %]\n", + "Report : 2.55e-07 [ 0.00 %]\n", + "Balance : 1.18e-07 [ 0.00 %]\n", + "Adjust : 0.352334 [ 70.74 %]\n", + "Total : 0.498069 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23141 1517 285 37 8 9 3 \n", + "1 : 23215 1454 275 32 13 6 5 \n", + "2 : 23216 1449 283 31 12 3 6 \n", + "3 : 23168 1510 273 29 11 4 5 \n", + "\n", + "T : 92740 5930 1116 129 44 22 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.3509e-02 sec\n", + "--- Collate = 1.0599e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.836622e-04 < 1.562500e-03 [7]\n", + "--- Max DT=3.050068e-01 > 1.000000e-01 [71276]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71276/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=29.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00155289 [ 0.33 %]\n", + "Velocity : 0.00412285 [ 0.87 %]\n", + "Force : 0.102212 [ 21.68 %]\n", + "Coefs : 0.0268286 [ 5.69 %]\n", + "Output : 0.00189805 [ 0.40 %]\n", + "Levels : 0.000105119 [ 0.02 %]\n", + "Report : 1.8e-07 [ 0.00 %]\n", + "Balance : 9.3e-08 [ 0.00 %]\n", + "Adjust : 0.334741 [ 70.99 %]\n", + "Total : 0.471514 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23143 1513 292 31 12 4 5 \n", + "1 : 23218 1452 275 33 11 11 0 \n", + "2 : 23218 1451 277 33 10 6 5 \n", + "3 : 23173 1507 272 30 9 3 6 \n", + "\n", + "T : 92752 5923 1116 127 42 24 16 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.2458e-02 sec\n", + "--- Collate = 1.9993e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.439323e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.050405e-01 > 1.000000e-01 [71286]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71286/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=29.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00203626 [ 0.41 %]\n", + "Velocity : 0.00451373 [ 0.91 %]\n", + "Force : 0.10901 [ 21.97 %]\n", + "Coefs : 0.026347 [ 5.31 %]\n", + "Output : 0.00200885 [ 0.40 %]\n", + "Levels : 9.4284e-05 [ 0.02 %]\n", + "Report : 1.79e-07 [ 0.00 %]\n", + "Balance : 1.26e-07 [ 0.00 %]\n", + "Adjust : 0.352077 [ 70.96 %]\n", + "Total : 0.496142 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23146 1515 287 33 9 2 8 \n", + "1 : 23209 1464 272 35 10 6 4 \n", + "2 : 23215 1457 275 35 6 7 5 \n", + "3 : 23172 1507 270 32 8 4 7 \n", + "\n", + "T : 92742 5943 1104 135 33 19 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0778e-02 sec\n", + "--- Collate = 9.7070e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.956208e-06 < 1.562500e-03 [19]\n", + "--- Max DT=3.050700e-01 > 1.000000e-01 [71296]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 71296/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=29.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00169951 [ 0.37 %]\n", + "Velocity : 0.00468297 [ 1.01 %]\n", + "Force : 0.105756 [ 22.85 %]\n", + "Coefs : 0.0191406 [ 4.14 %]\n", + "Output : 0.00177133 [ 0.38 %]\n", + "Levels : 0.000103652 [ 0.02 %]\n", + "Report : 1.58e-07 [ 0.00 %]\n", + "Balance : 8.3e-08 [ 0.00 %]\n", + "Adjust : 0.329598 [ 71.22 %]\n", + "Total : 0.462806 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23148 1516 288 31 5 5 7 \n", + "1 : 23204 1462 276 41 9 1 7 \n", + "2 : 23218 1453 279 33 8 4 5 \n", + "3 : 23167 1511 274 30 6 4 8 \n", + "\n", + "T : 92737 5942 1117 135 28 14 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.8405e-02 sec\n", + "--- Collate = 1.6381e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.420592e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.050950e-01 > 1.000000e-01 [71295]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71295/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=29.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00173981 [ 0.38 %]\n", + "Velocity : 0.00535162 [ 1.18 %]\n", + "Force : 0.099858 [ 22.04 %]\n", + "Coefs : 0.0216719 [ 4.78 %]\n", + "Output : 0.00184821 [ 0.41 %]\n", + "Levels : 0.000129453 [ 0.03 %]\n", + "Report : 2.04e-07 [ 0.00 %]\n", + "Balance : 1.23e-07 [ 0.00 %]\n", + "Adjust : 0.322379 [ 71.16 %]\n", + "Total : 0.453032 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23152 1510 291 30 6 4 7 \n", + "1 : 23202 1463 281 41 4 2 7 \n", + "2 : 23214 1460 281 28 10 1 6 \n", + "3 : 23170 1510 270 31 5 7 7 \n", + "\n", + "T : 92738 5943 1123 130 25 14 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.2056e-02 sec\n", + "--- Collate = 1.0243e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.697878e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.051156e-01 > 1.000000e-01 [71304]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71304/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=29.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00203929 [ 0.45 %]\n", + "Velocity : 0.00456319 [ 1.00 %]\n", + "Force : 0.0988574 [ 21.71 %]\n", + "Coefs : 0.0232134 [ 5.10 %]\n", + "Output : 0.00175517 [ 0.39 %]\n", + "Levels : 8.4196e-05 [ 0.02 %]\n", + "Report : 1.76e-07 [ 0.00 %]\n", + "Balance : 9e-08 [ 0.00 %]\n", + "Adjust : 0.324886 [ 71.33 %]\n", + "Total : 0.455454 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23152 1507 295 27 9 6 4 \n", + "1 : 23197 1466 284 41 4 5 3 \n", + "2 : 23209 1466 281 26 11 3 4 \n", + "3 : 23173 1505 270 33 9 3 7 \n", + "\n", + "T : 92731 5944 1130 127 33 17 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1480e-02 sec\n", + "--- Collate = 2.5055e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.423832e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.051315e-01 > 1.000000e-01 [71311]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71311/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=29.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00153228 [ 0.35 %]\n", + "Velocity : 0.00407089 [ 0.93 %]\n", + "Force : 0.0993519 [ 22.78 %]\n", + "Coefs : 0.0213771 [ 4.90 %]\n", + "Output : 0.00158652 [ 0.36 %]\n", + "Levels : 8.3787e-05 [ 0.02 %]\n", + "Report : 1.79e-07 [ 0.00 %]\n", + "Balance : 1.14e-07 [ 0.00 %]\n", + "Adjust : 0.308111 [ 70.64 %]\n", + "Total : 0.436166 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23155 1505 294 28 11 5 2 \n", + "1 : 23197 1466 282 41 10 4 0 \n", + "2 : 23212 1461 286 27 8 5 1 \n", + "3 : 23169 1508 274 29 8 4 8 \n", + "\n", + "T : 92733 5940 1136 125 37 18 11 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0609e-02 sec\n", + "--- Collate = 9.7080e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.555355e-05 < 1.562500e-03 [5]\n", + "--- Max DT=3.051428e-01 > 1.000000e-01 [71300]\n", + "----------------------------------------------------------------------\n", + " Component | low: 5/100000\n", + " Component | high: 71300/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=30] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00149448 [ 0.28 %]\n", + "Velocity : 0.00381772 [ 0.72 %]\n", + "Force : 0.0895812 [ 16.94 %]\n", + "Coefs : 0.0174413 [ 3.30 %]\n", + "Output : 0.108277 [ 20.48 %]\n", + "Levels : 9.6995e-05 [ 0.02 %]\n", + "Report : 5.44e-07 [ 0.00 %]\n", + "Balance : 3.11e-07 [ 0.00 %]\n", + "Adjust : 0.308053 [ 58.25 %]\n", + "Total : 0.528816 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23151 1510 292 32 9 4 2 \n", + "1 : 23194 1468 288 38 9 3 0 \n", + "2 : 23217 1457 284 30 6 5 1 \n", + "3 : 23176 1501 275 31 6 5 6 \n", + "\n", + "T : 92738 5936 1139 131 30 17 9 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.8923e-02 sec\n", + "--- Collate = 1.0317e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.142502e-04 < 1.562500e-03 [4]\n", + "--- Max DT=3.051495e-01 > 1.000000e-01 [71299]\n", + "----------------------------------------------------------------------\n", + " Component | low: 4/100000\n", + " Component | high: 71299/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=30.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00140781 [ 0.27 %]\n", + "Velocity : 0.00916027 [ 1.75 %]\n", + "Force : 0.110491 [ 21.15 %]\n", + "Coefs : 0.0340966 [ 6.53 %]\n", + "Output : 0.00175572 [ 0.34 %]\n", + "Levels : 0.000106083 [ 0.02 %]\n", + "Report : 1.73e-07 [ 0.00 %]\n", + "Balance : 1.21e-07 [ 0.00 %]\n", + "Adjust : 0.365271 [ 69.93 %]\n", + "Total : 0.522343 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23150 1510 290 38 6 4 2 \n", + "1 : 23195 1465 289 34 14 3 0 \n", + "2 : 23216 1457 287 26 8 3 3 \n", + "3 : 23176 1499 277 29 9 5 5 \n", + "\n", + "T : 92737 5931 1143 127 37 15 10 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0605e-02 sec\n", + "--- Collate = 9.8850e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.119832e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.051516e-01 > 1.000000e-01 [71296]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71296/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=30.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00172523 [ 0.39 %]\n", + "Velocity : 0.00387992 [ 0.89 %]\n", + "Force : 0.0999735 [ 22.88 %]\n", + "Coefs : 0.0267147 [ 6.11 %]\n", + "Output : 0.00157429 [ 0.36 %]\n", + "Levels : 8.6015e-05 [ 0.02 %]\n", + "Report : 1.69e-07 [ 0.00 %]\n", + "Balance : 7.6e-08 [ 0.00 %]\n", + "Adjust : 0.302942 [ 69.33 %]\n", + "Total : 0.43695 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23151 1509 285 43 7 2 3 \n", + "1 : 23195 1468 288 30 12 5 2 \n", + "2 : 23209 1463 287 25 11 1 4 \n", + "3 : 23170 1500 283 27 10 6 4 \n", + "\n", + "T : 92725 5940 1143 125 40 14 13 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0704e-02 sec\n", + "--- Collate = 9.6950e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.877608e-04 < 1.562500e-03 [8]\n", + "--- Max DT=3.051491e-01 > 1.000000e-01 [71312]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71312/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=30.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00152462 [ 0.35 %]\n", + "Velocity : 0.00360423 [ 0.83 %]\n", + "Force : 0.0893525 [ 20.61 %]\n", + "Coefs : 0.0173745 [ 4.01 %]\n", + "Output : 0.00171097 [ 0.39 %]\n", + "Levels : 8.8927e-05 [ 0.02 %]\n", + "Report : 4.1e-08 [ 0.00 %]\n", + "Balance : 1.05e-07 [ 0.00 %]\n", + "Adjust : 0.319773 [ 73.77 %]\n", + "Total : 0.433483 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23155 1503 289 40 8 1 4 \n", + "1 : 23193 1469 285 33 8 7 5 \n", + "2 : 23207 1462 290 25 8 4 4 \n", + "3 : 23174 1491 288 31 8 4 4 \n", + "\n", + "T : 92729 5925 1152 129 32 16 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0774e-02 sec\n", + "--- Collate = 9.4620e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.244610e-04 < 1.562500e-03 [8]\n", + "--- Max DT=3.051423e-01 > 1.000000e-01 [71306]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71306/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=30.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00168551 [ 0.39 %]\n", + "Velocity : 0.00388579 [ 0.90 %]\n", + "Force : 0.0981295 [ 22.61 %]\n", + "Coefs : 0.0195534 [ 4.50 %]\n", + "Output : 0.0016844 [ 0.39 %]\n", + "Levels : 9.212e-05 [ 0.02 %]\n", + "Report : 9.51e-07 [ 0.00 %]\n", + "Balance : 8.6e-08 [ 0.00 %]\n", + "Adjust : 0.308968 [ 71.18 %]\n", + "Total : 0.434052 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23157 1505 287 38 7 3 3 \n", + "1 : 23195 1466 284 37 4 5 9 \n", + "2 : 23210 1455 295 21 8 7 4 \n", + "3 : 23175 1489 294 25 12 1 4 \n", + "\n", + "T : 92737 5915 1160 121 31 16 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.6894e-02 sec\n", + "--- Collate = 1.5479e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.699431e-06 < 1.562500e-03 [10]\n", + "--- Max DT=3.053161e-01 > 1.000000e-01 [71304]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71304/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=30.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00159318 [ 0.32 %]\n", + "Velocity : 0.00389468 [ 0.79 %]\n", + "Force : 0.0990978 [ 20.07 %]\n", + "Coefs : 0.0178327 [ 3.61 %]\n", + "Output : 0.00181226 [ 0.37 %]\n", + "Levels : 0.000126527 [ 0.03 %]\n", + "Report : 3.03e-07 [ 0.00 %]\n", + "Balance : 1.39e-07 [ 0.00 %]\n", + "Adjust : 0.369306 [ 74.80 %]\n", + "Total : 0.493721 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23157 1503 288 39 7 2 4 \n", + "1 : 23195 1465 285 36 4 7 8 \n", + "2 : 23204 1460 288 30 5 8 5 \n", + "3 : 23177 1481 299 29 7 4 3 \n", + "\n", + "T : 92733 5909 1160 134 23 21 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0542e-02 sec\n", + "--- Collate = 9.5200e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.446806e-04 < 1.562500e-03 [8]\n", + "--- Max DT=3.056403e-01 > 1.000000e-01 [71315]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71315/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=30.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00169576 [ 0.37 %]\n", + "Velocity : 0.00425074 [ 0.92 %]\n", + "Force : 0.0918855 [ 19.80 %]\n", + "Coefs : 0.0237981 [ 5.13 %]\n", + "Output : 0.00162391 [ 0.35 %]\n", + "Levels : 9.2112e-05 [ 0.02 %]\n", + "Report : 1.55e-07 [ 0.00 %]\n", + "Balance : 1.08e-07 [ 0.00 %]\n", + "Adjust : 0.340714 [ 73.41 %]\n", + "Total : 0.464115 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23154 1510 288 36 3 6 3 \n", + "1 : 23194 1466 280 39 7 6 8 \n", + "2 : 23198 1462 291 30 8 4 7 \n", + "3 : 23175 1483 299 29 6 5 3 \n", + "\n", + "T : 92721 5921 1158 134 24 21 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0692e-02 sec\n", + "--- Collate = 9.5600e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.065795e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.059573e-01 > 1.000000e-01 [71301]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71301/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=30.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00151406 [ 0.34 %]\n", + "Velocity : 0.00351885 [ 0.80 %]\n", + "Force : 0.0873983 [ 19.86 %]\n", + "Coefs : 0.0171649 [ 3.90 %]\n", + "Output : 0.00170612 [ 0.39 %]\n", + "Levels : 0.010546 [ 2.40 %]\n", + "Report : 4.24e-07 [ 0.00 %]\n", + "Balance : 1.56e-07 [ 0.00 %]\n", + "Adjust : 0.318135 [ 72.30 %]\n", + "Total : 0.440037 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23151 1518 279 37 4 4 7 \n", + "1 : 23200 1460 279 37 12 7 5 \n", + "2 : 23199 1460 294 27 10 4 6 \n", + "3 : 23172 1486 290 37 8 3 4 \n", + "\n", + "T : 92722 5924 1142 138 34 18 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0799e-02 sec\n", + "--- Collate = 9.6760e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.951660e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.062679e-01 > 1.000000e-01 [71306]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71306/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=30.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00183061 [ 0.42 %]\n", + "Velocity : 0.00486006 [ 1.11 %]\n", + "Force : 0.100794 [ 22.96 %]\n", + "Coefs : 0.0243643 [ 5.55 %]\n", + "Output : 0.00161297 [ 0.37 %]\n", + "Levels : 8.6255e-05 [ 0.02 %]\n", + "Report : 1.48e-07 [ 0.00 %]\n", + "Balance : 1.38e-07 [ 0.00 %]\n", + "Adjust : 0.305459 [ 69.57 %]\n", + "Total : 0.439059 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23154 1514 283 33 5 3 8 \n", + "1 : 23198 1463 278 36 17 4 4 \n", + "2 : 23198 1458 297 25 13 6 3 \n", + "3 : 23170 1495 282 40 5 4 4 \n", + "\n", + "T : 92720 5930 1140 134 40 17 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0743e-02 sec\n", + "--- Collate = 1.4367e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.290111e-06 < 1.562500e-03 [8]\n", + "--- Max DT=3.065715e-01 > 1.000000e-01 [71310]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71310/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=30.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00156963 [ 0.36 %]\n", + "Velocity : 0.00388754 [ 0.90 %]\n", + "Force : 0.0958601 [ 22.09 %]\n", + "Coefs : 0.0171658 [ 3.96 %]\n", + "Output : 0.00175553 [ 0.40 %]\n", + "Levels : 9.6442e-05 [ 0.02 %]\n", + "Report : 1.54e-07 [ 0.00 %]\n", + "Balance : 1.53e-07 [ 0.00 %]\n", + "Adjust : 0.313536 [ 72.26 %]\n", + "Total : 0.433925 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23156 1512 283 32 4 6 7 \n", + "1 : 23200 1466 274 38 14 6 2 \n", + "2 : 23202 1457 294 27 13 5 2 \n", + "3 : 23171 1494 286 32 9 4 4 \n", + "\n", + "T : 92729 5929 1137 129 40 21 15 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1205e-02 sec\n", + "--- Collate = 9.5490e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.882429e-04 < 1.562500e-03 [5]\n", + "--- Max DT=3.068691e-01 > 1.000000e-01 [71318]\n", + "----------------------------------------------------------------------\n", + " Component | low: 5/100000\n", + " Component | high: 71318/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=31] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00148648 [ 0.28 %]\n", + "Velocity : 0.00463232 [ 0.86 %]\n", + "Force : 0.0871015 [ 16.25 %]\n", + "Coefs : 0.0177511 [ 3.31 %]\n", + "Output : 0.0889459 [ 16.59 %]\n", + "Levels : 9.2915e-05 [ 0.02 %]\n", + "Report : 4.58e-07 [ 0.00 %]\n", + "Balance : 2.52e-07 [ 0.00 %]\n", + "Adjust : 0.336027 [ 62.68 %]\n", + "Total : 0.536094 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23152 1513 288 30 5 7 5 \n", + "1 : 23194 1475 270 42 11 5 3 \n", + "2 : 23197 1459 298 25 15 4 2 \n", + "3 : 23170 1491 290 30 12 5 2 \n", + "\n", + "T : 92713 5938 1146 127 43 21 12 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0622e-02 sec\n", + "--- Collate = 9.8380e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.633161e-05 < 1.562500e-03 [6]\n", + "--- Max DT=3.071605e-01 > 1.000000e-01 [71317]\n", + "----------------------------------------------------------------------\n", + " Component | low: 6/100000\n", + " Component | high: 71317/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=31.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00128303 [ 0.26 %]\n", + "Velocity : 0.00359863 [ 0.72 %]\n", + "Force : 0.107471 [ 21.43 %]\n", + "Coefs : 0.0450652 [ 8.98 %]\n", + "Output : 0.00171052 [ 0.34 %]\n", + "Levels : 9.4592e-05 [ 0.02 %]\n", + "Report : 1.63e-07 [ 0.00 %]\n", + "Balance : 1.1e-07 [ 0.00 %]\n", + "Adjust : 0.342295 [ 68.24 %]\n", + "Total : 0.501571 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23149 1512 290 31 9 4 5 \n", + "1 : 23187 1478 277 38 12 3 5 \n", + "2 : 23191 1466 296 26 16 2 3 \n", + "3 : 23166 1497 285 30 14 5 3 \n", + "\n", + "T : 92693 5953 1148 125 51 14 16 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1169e-02 sec\n", + "--- Collate = 1.0258e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.836601e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.074457e-01 > 1.000000e-01 [71320]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71320/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=31.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00163389 [ 0.38 %]\n", + "Velocity : 0.00365579 [ 0.85 %]\n", + "Force : 0.0927938 [ 21.46 %]\n", + "Coefs : 0.0181236 [ 4.19 %]\n", + "Output : 0.00162251 [ 0.38 %]\n", + "Levels : 9.2785e-05 [ 0.02 %]\n", + "Report : 1.68e-07 [ 0.00 %]\n", + "Balance : 1.08e-07 [ 0.00 %]\n", + "Adjust : 0.314466 [ 72.72 %]\n", + "Total : 0.432442 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23149 1510 290 33 10 5 3 \n", + "1 : 23183 1479 280 36 10 7 5 \n", + "2 : 23190 1466 299 28 9 3 5 \n", + "3 : 23162 1499 285 30 14 6 4 \n", + "\n", + "T : 92684 5954 1154 127 43 21 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0570e-02 sec\n", + "--- Collate = 9.4920e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.680370e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.077250e-01 > 1.000000e-01 [71319]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71319/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=31.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00181503 [ 0.41 %]\n", + "Velocity : 0.00396039 [ 0.90 %]\n", + "Force : 0.0998139 [ 22.77 %]\n", + "Coefs : 0.0265645 [ 6.06 %]\n", + "Output : 0.00152705 [ 0.35 %]\n", + "Levels : 8.0158e-05 [ 0.02 %]\n", + "Report : 1.59e-07 [ 0.00 %]\n", + "Balance : 8.8e-08 [ 0.00 %]\n", + "Adjust : 0.304559 [ 69.47 %]\n", + "Total : 0.438376 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23149 1510 286 39 8 4 4 \n", + "1 : 23176 1485 282 34 12 6 5 \n", + "2 : 23192 1466 296 30 6 5 5 \n", + "3 : 23160 1495 291 29 15 4 6 \n", + "\n", + "T : 92677 5956 1155 132 41 19 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0554e-02 sec\n", + "--- Collate = 1.0417e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.028030e-04 < 1.562500e-03 [8]\n", + "--- Max DT=3.079983e-01 > 1.000000e-01 [71314]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71314/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=31.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00149636 [ 0.34 %]\n", + "Velocity : 0.00379985 [ 0.86 %]\n", + "Force : 0.0993355 [ 22.38 %]\n", + "Coefs : 0.0166169 [ 3.74 %]\n", + "Output : 0.00163125 [ 0.37 %]\n", + "Levels : 9.8757e-05 [ 0.02 %]\n", + "Report : 1.56e-07 [ 0.00 %]\n", + "Balance : 8.1e-08 [ 0.00 %]\n", + "Adjust : 0.320758 [ 72.28 %]\n", + "Total : 0.44379 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23148 1517 281 34 12 6 2 \n", + "1 : 23174 1484 289 30 8 10 5 \n", + "2 : 23194 1465 295 28 8 5 5 \n", + "3 : 23168 1489 287 33 11 6 6 \n", + "\n", + "T : 92684 5955 1152 125 39 27 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0543e-02 sec\n", + "--- Collate = 9.5720e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.273213e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.082654e-01 > 1.000000e-01 [71300]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71300/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=31.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00148286 [ 0.34 %]\n", + "Velocity : 0.0035046 [ 0.81 %]\n", + "Force : 0.0893824 [ 20.76 %]\n", + "Coefs : 0.0175104 [ 4.07 %]\n", + "Output : 0.00155606 [ 0.36 %]\n", + "Levels : 8.5213e-05 [ 0.02 %]\n", + "Report : 1.67e-07 [ 0.00 %]\n", + "Balance : 1.41e-07 [ 0.00 %]\n", + "Adjust : 0.31695 [ 73.62 %]\n", + "Total : 0.430523 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23147 1516 279 39 13 2 4 \n", + "1 : 23175 1485 288 30 10 4 8 \n", + "2 : 23195 1462 294 29 9 7 4 \n", + "3 : 23165 1489 296 27 10 7 6 \n", + "\n", + "T : 92682 5952 1157 125 42 20 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0625e-02 sec\n", + "--- Collate = 9.1520e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.532008e-06 < 1.562500e-03 [13]\n", + "--- Max DT=3.085267e-01 > 1.000000e-01 [71292]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71292/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=31.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0015753 [ 0.37 %]\n", + "Velocity : 0.00385566 [ 0.90 %]\n", + "Force : 0.0973471 [ 22.79 %]\n", + "Coefs : 0.0224823 [ 5.26 %]\n", + "Output : 0.00158492 [ 0.37 %]\n", + "Levels : 8.064e-05 [ 0.02 %]\n", + "Report : 1.3e-07 [ 0.00 %]\n", + "Balance : 9.8e-08 [ 0.00 %]\n", + "Adjust : 0.300212 [ 70.28 %]\n", + "Total : 0.427188 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23145 1518 281 36 10 6 4 \n", + "1 : 23178 1480 289 30 10 3 10 \n", + "2 : 23203 1456 294 24 13 4 6 \n", + "3 : 23162 1496 295 24 10 6 7 \n", + "\n", + "T : 92688 5950 1159 114 43 19 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.9418e-02 sec\n", + "--- Collate = 1.2731e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.517859e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.087817e-01 > 1.000000e-01 [71302]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71302/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=31.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00155156 [ 0.34 %]\n", + "Velocity : 0.0039338 [ 0.86 %]\n", + "Force : 0.0925777 [ 20.15 %]\n", + "Coefs : 0.0177845 [ 3.87 %]\n", + "Output : 0.0016657 [ 0.36 %]\n", + "Levels : 9.7066e-05 [ 0.02 %]\n", + "Report : 2.61e-07 [ 0.00 %]\n", + "Balance : 1.74e-07 [ 0.00 %]\n", + "Adjust : 0.34178 [ 74.39 %]\n", + "Total : 0.459445 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23140 1525 278 36 11 5 5 \n", + "1 : 23180 1480 286 32 10 6 6 \n", + "2 : 23198 1459 296 26 12 3 6 \n", + "3 : 23165 1493 294 31 6 3 8 \n", + "\n", + "T : 92683 5957 1154 125 39 17 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0633e-02 sec\n", + "--- Collate = 1.0090e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.743751e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.090307e-01 > 1.000000e-01 [71291]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71291/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=31.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00174668 [ 0.40 %]\n", + "Velocity : 0.00393657 [ 0.90 %]\n", + "Force : 0.0974598 [ 22.17 %]\n", + "Coefs : 0.018925 [ 4.31 %]\n", + "Output : 0.00165884 [ 0.38 %]\n", + "Levels : 9.7871e-05 [ 0.02 %]\n", + "Report : 1.72e-07 [ 0.00 %]\n", + "Balance : 6.9e-08 [ 0.00 %]\n", + "Adjust : 0.315726 [ 71.82 %]\n", + "Total : 0.439602 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23140 1526 277 37 9 5 6 \n", + "1 : 23181 1475 285 37 11 6 5 \n", + "2 : 23201 1457 295 26 10 5 6 \n", + "3 : 23169 1491 291 32 8 4 5 \n", + "\n", + "T : 92691 5949 1148 132 38 20 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1068e-02 sec\n", + "--- Collate = 9.3410e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.359575e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.092740e-01 > 1.000000e-01 [71269]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71269/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=31.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00146957 [ 0.32 %]\n", + "Velocity : 0.00365058 [ 0.80 %]\n", + "Force : 0.0912093 [ 20.11 %]\n", + "Coefs : 0.0173893 [ 3.83 %]\n", + "Output : 0.00176819 [ 0.39 %]\n", + "Levels : 7.8356e-05 [ 0.02 %]\n", + "Report : 1.54e-07 [ 0.00 %]\n", + "Balance : 1.22e-07 [ 0.00 %]\n", + "Adjust : 0.337872 [ 74.50 %]\n", + "Total : 0.45349 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23142 1519 282 35 8 7 7 \n", + "1 : 23181 1474 289 35 10 7 4 \n", + "2 : 23200 1459 292 26 8 6 9 \n", + "3 : 23165 1495 293 31 9 4 3 \n", + "\n", + "T : 92688 5947 1156 127 35 24 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0690e-02 sec\n", + "--- Collate = 1.0333e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.489710e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.095112e-01 > 1.000000e-01 [71251]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71251/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=32] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00157782 [ 0.28 %]\n", + "Velocity : 0.00392743 [ 0.70 %]\n", + "Force : 0.0848771 [ 15.10 %]\n", + "Coefs : 0.017497 [ 3.11 %]\n", + "Output : 0.128708 [ 22.89 %]\n", + "Levels : 9.4871e-05 [ 0.02 %]\n", + "Report : 4.8e-07 [ 0.00 %]\n", + "Balance : 3.51e-07 [ 0.00 %]\n", + "Adjust : 0.325521 [ 57.90 %]\n", + "Total : 0.562257 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23145 1514 284 33 13 4 7 \n", + "1 : 23180 1471 294 33 13 7 2 \n", + "2 : 23196 1462 293 25 8 7 9 \n", + "3 : 23161 1497 295 31 12 2 2 \n", + "\n", + "T : 92682 5944 1166 122 46 20 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0479e-02 sec\n", + "--- Collate = 9.6330e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.248677e-05 < 1.562500e-03 [6]\n", + "--- Max DT=3.097426e-01 > 1.000000e-01 [71258]\n", + "----------------------------------------------------------------------\n", + " Component | low: 6/100000\n", + " Component | high: 71258/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=32.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0109953 [ 2.20 %]\n", + "Velocity : 0.00405872 [ 0.81 %]\n", + "Force : 0.109843 [ 21.93 %]\n", + "Coefs : 0.0243461 [ 4.86 %]\n", + "Output : 0.00172944 [ 0.35 %]\n", + "Levels : 0.000101289 [ 0.02 %]\n", + "Report : 1.58e-07 [ 0.00 %]\n", + "Balance : 1.58e-07 [ 0.00 %]\n", + "Adjust : 0.349701 [ 69.82 %]\n", + "Total : 0.500833 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23146 1514 282 34 11 6 7 \n", + "1 : 23179 1473 290 32 16 7 3 \n", + "2 : 23197 1461 294 21 11 7 9 \n", + "3 : 23160 1496 300 24 15 3 2 \n", + "\n", + "T : 92682 5944 1166 111 53 23 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0715e-02 sec\n", + "--- Collate = 8.7440e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.376904e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.099681e-01 > 1.000000e-01 [71260]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71260/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=32.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00149964 [ 0.35 %]\n", + "Velocity : 0.00374405 [ 0.88 %]\n", + "Force : 0.0843503 [ 19.78 %]\n", + "Coefs : 0.0170156 [ 3.99 %]\n", + "Output : 0.00184203 [ 0.43 %]\n", + "Levels : 9.1238e-05 [ 0.02 %]\n", + "Report : 1.82e-07 [ 0.00 %]\n", + "Balance : 1.13e-07 [ 0.00 %]\n", + "Adjust : 0.317946 [ 74.54 %]\n", + "Total : 0.42654 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23142 1515 284 34 13 6 6 \n", + "1 : 23183 1471 290 31 14 4 7 \n", + "2 : 23196 1465 287 25 12 9 6 \n", + "3 : 23164 1494 296 26 14 3 3 \n", + "\n", + "T : 92685 5945 1157 116 53 22 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.1456e-02 sec\n", + "--- Collate = 1.0317e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.049859e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.101881e-01 > 1.000000e-01 [71262]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71262/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=32.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00185183 [ 0.38 %]\n", + "Velocity : 0.0038686 [ 0.80 %]\n", + "Force : 0.103755 [ 21.44 %]\n", + "Coefs : 0.0207275 [ 4.28 %]\n", + "Output : 0.00165258 [ 0.34 %]\n", + "Levels : 7.8474e-05 [ 0.02 %]\n", + "Report : 2.03e-07 [ 0.00 %]\n", + "Balance : 1.2e-07 [ 0.00 %]\n", + "Adjust : 0.351894 [ 72.72 %]\n", + "Total : 0.483886 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23137 1519 285 29 18 7 5 \n", + "1 : 23183 1469 295 33 9 2 9 \n", + "2 : 23191 1469 288 27 9 10 6 \n", + "3 : 23174 1482 297 28 9 4 6 \n", + "\n", + "T : 92685 5939 1165 117 45 23 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0467e-02 sec\n", + "--- Collate = 9.7070e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.172883e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.104023e-01 > 1.000000e-01 [71268]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71268/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=32.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00147665 [ 0.34 %]\n", + "Velocity : 0.00371186 [ 0.86 %]\n", + "Force : 0.087172 [ 20.26 %]\n", + "Coefs : 0.0170481 [ 3.96 %]\n", + "Output : 0.0016815 [ 0.39 %]\n", + "Levels : 9.8212e-05 [ 0.02 %]\n", + "Report : 1.52e-07 [ 0.00 %]\n", + "Balance : 9.5e-08 [ 0.00 %]\n", + "Adjust : 0.319064 [ 74.15 %]\n", + "Total : 0.430302 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23134 1521 283 35 15 7 5 \n", + "1 : 23187 1464 297 30 8 7 7 \n", + "2 : 23190 1471 287 29 10 8 5 \n", + "3 : 23174 1483 295 30 4 7 7 \n", + "\n", + "T : 92685 5939 1162 124 37 29 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0764e-02 sec\n", + "--- Collate = 9.0390e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.611172e-04 < 1.562500e-03 [13]\n", + "--- Max DT=3.106110e-01 > 1.000000e-01 [71257]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71257/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=32.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00153008 [ 0.35 %]\n", + "Velocity : 0.00372765 [ 0.85 %]\n", + "Force : 0.0962064 [ 22.06 %]\n", + "Coefs : 0.0170296 [ 3.90 %]\n", + "Output : 0.00162597 [ 0.37 %]\n", + "Levels : 8.8798e-05 [ 0.02 %]\n", + "Report : 1.56e-07 [ 0.00 %]\n", + "Balance : 9.8e-08 [ 0.00 %]\n", + "Adjust : 0.31585 [ 72.42 %]\n", + "Total : 0.436114 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23131 1525 284 38 12 6 4 \n", + "1 : 23190 1465 291 32 7 8 7 \n", + "2 : 23191 1472 283 31 12 6 5 \n", + "3 : 23174 1485 289 35 2 9 6 \n", + "\n", + "T : 92686 5947 1147 136 33 29 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0481e-02 sec\n", + "--- Collate = 9.5750e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.210716e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.108199e-01 > 1.000000e-01 [71259]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71259/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=32.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0015089 [ 0.35 %]\n", + "Velocity : 0.00359448 [ 0.83 %]\n", + "Force : 0.0852242 [ 19.62 %]\n", + "Coefs : 0.0173701 [ 4.00 %]\n", + "Output : 0.0016114 [ 0.37 %]\n", + "Levels : 8.1603e-05 [ 0.02 %]\n", + "Report : 5.83e-07 [ 0.00 %]\n", + "Balance : 2.18e-07 [ 0.00 %]\n", + "Adjust : 0.324914 [ 74.80 %]\n", + "Total : 0.434359 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23133 1524 282 36 14 3 8 \n", + "1 : 23195 1460 291 29 12 7 6 \n", + "2 : 23190 1473 280 34 15 3 5 \n", + "3 : 23177 1480 294 28 9 4 8 \n", + "\n", + "T : 92695 5937 1147 127 50 17 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0762e-02 sec\n", + "--- Collate = 9.9970e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.071224e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.110253e-01 > 1.000000e-01 [71249]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71249/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=32.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00163375 [ 0.37 %]\n", + "Velocity : 0.00413867 [ 0.93 %]\n", + "Force : 0.100433 [ 22.59 %]\n", + "Coefs : 0.0183443 [ 4.13 %]\n", + "Output : 0.00165818 [ 0.37 %]\n", + "Levels : 9.9531e-05 [ 0.02 %]\n", + "Report : 1.55e-07 [ 0.00 %]\n", + "Balance : 8e-08 [ 0.00 %]\n", + "Adjust : 0.318168 [ 71.57 %]\n", + "Total : 0.444528 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23140 1518 276 43 12 5 6 \n", + "1 : 23196 1457 294 27 17 2 7 \n", + "2 : 23187 1472 285 36 13 2 5 \n", + "3 : 23175 1481 293 28 13 4 6 \n", + "\n", + "T : 92698 5928 1148 134 55 13 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.8296e-02 sec\n", + "--- Collate = 1.0502e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.744520e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.112252e-01 > 1.000000e-01 [71263]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71263/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=32.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00153545 [ 0.33 %]\n", + "Velocity : 0.00387561 [ 0.84 %]\n", + "Force : 0.0978041 [ 21.23 %]\n", + "Coefs : 0.0172973 [ 3.75 %]\n", + "Output : 0.00162148 [ 0.35 %]\n", + "Levels : 9.3437e-05 [ 0.02 %]\n", + "Report : 1.83e-07 [ 0.00 %]\n", + "Balance : 1.17e-07 [ 0.00 %]\n", + "Adjust : 0.338504 [ 73.46 %]\n", + "Total : 0.460785 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23140 1518 276 40 13 5 8 \n", + "1 : 23202 1454 292 24 16 10 2 \n", + "2 : 23192 1465 290 33 14 2 4 \n", + "3 : 23177 1482 291 25 15 5 5 \n", + "\n", + "T : 92711 5919 1149 122 58 22 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0560e-02 sec\n", + "--- Collate = 9.4100e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.552385e-04 < 1.562500e-03 [5]\n", + "--- Max DT=3.114200e-01 > 1.000000e-01 [71260]\n", + "----------------------------------------------------------------------\n", + " Component | low: 5/100000\n", + " Component | high: 71260/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=32.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00172054 [ 0.38 %]\n", + "Velocity : 0.00397406 [ 0.89 %]\n", + "Force : 0.104208 [ 23.31 %]\n", + "Coefs : 0.0193906 [ 4.34 %]\n", + "Output : 0.00167357 [ 0.37 %]\n", + "Levels : 0.000100706 [ 0.02 %]\n", + "Report : 1.55e-07 [ 0.00 %]\n", + "Balance : 1.41e-07 [ 0.00 %]\n", + "Adjust : 0.315972 [ 70.67 %]\n", + "Total : 0.447094 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23147 1515 271 39 14 8 6 \n", + "1 : 23197 1455 297 28 10 9 4 \n", + "2 : 23194 1464 290 31 12 5 4 \n", + "3 : 23177 1484 288 31 12 8 0 \n", + "\n", + "T : 92715 5918 1146 129 48 30 14 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0527e-02 sec\n", + "--- Collate = 9.9800e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.416351e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.116096e-01 > 1.000000e-01 [71270]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71270/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=33] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00153071 [ 0.29 %]\n", + "Velocity : 0.00374536 [ 0.70 %]\n", + "Force : 0.0940596 [ 17.55 %]\n", + "Coefs : 0.017535 [ 3.27 %]\n", + "Output : 0.0994914 [ 18.57 %]\n", + "Levels : 8.7667e-05 [ 0.02 %]\n", + "Report : 2e-07 [ 0.00 %]\n", + "Balance : 1.6e-07 [ 0.00 %]\n", + "Adjust : 0.319338 [ 59.60 %]\n", + "Total : 0.535842 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23137 1526 275 33 11 9 9 \n", + "1 : 23201 1457 291 29 11 3 8 \n", + "2 : 23198 1464 290 27 11 6 4 \n", + "3 : 23175 1492 284 27 12 6 4 \n", + "\n", + "T : 92711 5939 1140 116 45 24 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0480e-02 sec\n", + "--- Collate = 9.8520e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.964169e-05 < 1.562500e-03 [19]\n", + "--- Max DT=3.117939e-01 > 1.000000e-01 [71278]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 71278/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=33.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00175255 [ 0.36 %]\n", + "Velocity : 0.00491523 [ 1.02 %]\n", + "Force : 0.105718 [ 21.97 %]\n", + "Coefs : 0.0337931 [ 7.02 %]\n", + "Output : 0.00167352 [ 0.35 %]\n", + "Levels : 8.6721e-05 [ 0.02 %]\n", + "Report : 1.42e-07 [ 0.00 %]\n", + "Balance : 7.5e-08 [ 0.00 %]\n", + "Adjust : 0.333151 [ 69.24 %]\n", + "Total : 0.48115 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23144 1519 270 37 14 5 11 \n", + "1 : 23200 1462 290 29 5 3 11 \n", + "2 : 23199 1463 293 23 11 5 6 \n", + "3 : 23173 1493 282 36 4 6 6 \n", + "\n", + "T : 92716 5937 1135 125 34 19 34 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0537e-02 sec\n", + "--- Collate = 1.1959e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.292387e-06 < 1.562500e-03 [17]\n", + "--- Max DT=3.119728e-01 > 1.000000e-01 [71280]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71280/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=33.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00144137 [ 0.32 %]\n", + "Velocity : 0.00364204 [ 0.82 %]\n", + "Force : 0.0886034 [ 19.87 %]\n", + "Coefs : 0.0174145 [ 3.91 %]\n", + "Output : 0.0016735 [ 0.38 %]\n", + "Levels : 9.2199e-05 [ 0.02 %]\n", + "Report : 1.63e-07 [ 0.00 %]\n", + "Balance : 8.5e-08 [ 0.00 %]\n", + "Adjust : 0.333016 [ 74.68 %]\n", + "Total : 0.445935 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23145 1516 276 32 15 6 10 \n", + "1 : 23202 1461 285 30 9 5 8 \n", + "2 : 23203 1462 291 24 6 7 7 \n", + "3 : 23176 1489 282 35 6 0 12 \n", + "\n", + "T : 92726 5928 1134 121 36 18 37 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0285e-02 sec\n", + "--- Collate = 9.1410e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.318820e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.121462e-01 > 1.000000e-01 [71281]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71281/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=33.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00148441 [ 0.35 %]\n", + "Velocity : 0.00362756 [ 0.86 %]\n", + "Force : 0.0807975 [ 19.17 %]\n", + "Coefs : 0.0170388 [ 4.04 %]\n", + "Output : 0.00163347 [ 0.39 %]\n", + "Levels : 8.046e-05 [ 0.02 %]\n", + "Report : 1.71e-07 [ 0.00 %]\n", + "Balance : 9.2e-08 [ 0.00 %]\n", + "Adjust : 0.316751 [ 75.15 %]\n", + "Total : 0.421468 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23142 1521 270 35 13 11 8 \n", + "1 : 23199 1461 291 28 8 8 5 \n", + "2 : 23200 1461 293 23 10 5 8 \n", + "3 : 23172 1490 285 35 5 5 8 \n", + "\n", + "T : 92713 5933 1139 121 36 29 29 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.2831e-02 sec\n", + "--- Collate = 9.2270e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.406857e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.123141e-01 > 1.000000e-01 [71285]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71285/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=33.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00143213 [ 0.33 %]\n", + "Velocity : 0.00352325 [ 0.82 %]\n", + "Force : 0.0860074 [ 19.96 %]\n", + "Coefs : 0.0172918 [ 4.01 %]\n", + "Output : 0.00155893 [ 0.36 %]\n", + "Levels : 8.0583e-05 [ 0.02 %]\n", + "Report : 2.22e-07 [ 0.00 %]\n", + "Balance : 9.6e-08 [ 0.00 %]\n", + "Adjust : 0.320967 [ 74.49 %]\n", + "Total : 0.430912 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23136 1521 274 37 15 12 5 \n", + "1 : 23196 1463 288 30 10 10 3 \n", + "2 : 23200 1462 294 20 9 8 7 \n", + "3 : 23176 1485 283 37 6 6 7 \n", + "\n", + "T : 92708 5931 1139 124 40 36 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0609e-02 sec\n", + "--- Collate = 9.4000e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.475446e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.124764e-01 > 1.000000e-01 [71278]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71278/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=33.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00161807 [ 0.36 %]\n", + "Velocity : 0.0039933 [ 0.90 %]\n", + "Force : 0.101272 [ 22.77 %]\n", + "Coefs : 0.0215173 [ 4.84 %]\n", + "Output : 0.00153643 [ 0.35 %]\n", + "Levels : 8.0943e-05 [ 0.02 %]\n", + "Report : 1.23e-07 [ 0.00 %]\n", + "Balance : 8.6e-08 [ 0.00 %]\n", + "Adjust : 0.314703 [ 70.76 %]\n", + "Total : 0.444774 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23134 1520 276 35 21 6 8 \n", + "1 : 23193 1469 286 28 10 7 7 \n", + "2 : 23202 1458 293 21 15 3 8 \n", + "3 : 23176 1490 279 30 15 9 1 \n", + "\n", + "T : 92705 5937 1134 114 61 25 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0682e-02 sec\n", + "--- Collate = 9.4390e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.331403e-05 < 1.562500e-03 [17]\n", + "--- Max DT=3.126332e-01 > 1.000000e-01 [71272]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71272/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=33.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00148575 [ 0.34 %]\n", + "Velocity : 0.00352471 [ 0.81 %]\n", + "Force : 0.0983853 [ 22.51 %]\n", + "Coefs : 0.0174191 [ 3.98 %]\n", + "Output : 0.00152618 [ 0.35 %]\n", + "Levels : 9.8959e-05 [ 0.02 %]\n", + "Report : 1.26e-07 [ 0.00 %]\n", + "Balance : 8.7e-08 [ 0.00 %]\n", + "Adjust : 0.314672 [ 71.98 %]\n", + "Total : 0.437168 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23137 1515 282 30 24 4 8 \n", + "1 : 23190 1472 285 33 7 5 8 \n", + "2 : 23198 1463 290 27 10 6 6 \n", + "3 : 23165 1508 271 31 20 2 3 \n", + "\n", + "T : 92690 5958 1128 121 61 17 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0779e-02 sec\n", + "--- Collate = 9.5790e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.221566e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.127847e-01 > 1.000000e-01 [71265]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71265/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=33.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00144563 [ 0.33 %]\n", + "Velocity : 0.00398266 [ 0.90 %]\n", + "Force : 0.0870288 [ 19.66 %]\n", + "Coefs : 0.0176043 [ 3.98 %]\n", + "Output : 0.0016607 [ 0.38 %]\n", + "Levels : 9.0054e-05 [ 0.02 %]\n", + "Report : 1.7e-07 [ 0.00 %]\n", + "Balance : 8.2e-08 [ 0.00 %]\n", + "Adjust : 0.330834 [ 74.73 %]\n", + "Total : 0.442699 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23142 1511 277 38 20 4 8 \n", + "1 : 23188 1470 289 33 6 5 9 \n", + "2 : 23198 1468 285 24 13 7 5 \n", + "3 : 23164 1507 275 35 13 3 3 \n", + "\n", + "T : 92692 5956 1126 130 52 19 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0281e-02 sec\n", + "--- Collate = 9.5330e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.016095e-06 < 1.562500e-03 [11]\n", + "--- Max DT=3.129308e-01 > 1.000000e-01 [71281]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71281/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=33.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00175622 [ 0.39 %]\n", + "Velocity : 0.00406631 [ 0.91 %]\n", + "Force : 0.101336 [ 22.69 %]\n", + "Coefs : 0.0253177 [ 5.67 %]\n", + "Output : 0.00165685 [ 0.37 %]\n", + "Levels : 0.000104208 [ 0.02 %]\n", + "Report : 1.65e-07 [ 0.00 %]\n", + "Balance : 1e-07 [ 0.00 %]\n", + "Adjust : 0.312272 [ 69.93 %]\n", + "Total : 0.446568 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23141 1514 276 44 6 13 6 \n", + "1 : 23186 1467 292 37 5 5 8 \n", + "2 : 23201 1468 278 29 13 7 4 \n", + "3 : 23165 1505 277 39 5 5 4 \n", + "\n", + "T : 92693 5954 1123 149 29 30 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.7540e-02 sec\n", + "--- Collate = 1.1979e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.520700e-04 < 1.562500e-03 [11]\n", + "--- Max DT=3.130720e-01 > 1.000000e-01 [71279]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71279/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=33.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00156497 [ 0.32 %]\n", + "Velocity : 0.00407463 [ 0.84 %]\n", + "Force : 0.107648 [ 22.13 %]\n", + "Coefs : 0.0195946 [ 4.03 %]\n", + "Output : 0.00177118 [ 0.36 %]\n", + "Levels : 0.000106176 [ 0.02 %]\n", + "Report : 2.62e-07 [ 0.00 %]\n", + "Balance : 1.22e-07 [ 0.00 %]\n", + "Adjust : 0.351607 [ 72.28 %]\n", + "Total : 0.486425 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23145 1511 275 42 13 7 7 \n", + "1 : 23186 1469 287 40 7 5 6 \n", + "2 : 23199 1472 277 27 14 6 5 \n", + "3 : 23159 1518 267 41 4 7 4 \n", + "\n", + "T : 92689 5970 1106 150 38 25 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1790e-02 sec\n", + "--- Collate = 9.4290e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.482442e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.132081e-01 > 1.000000e-01 [71291]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71291/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=34] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00205265 [ 0.35 %]\n", + "Velocity : 0.00424753 [ 0.72 %]\n", + "Force : 0.10761 [ 18.34 %]\n", + "Coefs : 0.0272797 [ 4.65 %]\n", + "Output : 0.112453 [ 19.16 %]\n", + "Levels : 9.489e-05 [ 0.02 %]\n", + "Report : 6.66e-07 [ 0.00 %]\n", + "Balance : 4.25e-07 [ 0.00 %]\n", + "Adjust : 0.333077 [ 56.75 %]\n", + "Total : 0.586871 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23146 1509 282 39 12 3 9 \n", + "1 : 23184 1474 284 35 16 4 3 \n", + "2 : 23197 1472 277 31 10 7 6 \n", + "3 : 23152 1525 267 38 8 5 5 \n", + "\n", + "T : 92679 5980 1110 143 46 19 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0528e-02 sec\n", + "--- Collate = 9.3410e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.331008e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.133392e-01 > 1.000000e-01 [71280]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71280/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=34.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0053896 [ 1.05 %]\n", + "Velocity : 0.00533341 [ 1.04 %]\n", + "Force : 0.114224 [ 22.27 %]\n", + "Coefs : 0.0293667 [ 5.73 %]\n", + "Output : 0.00192228 [ 0.37 %]\n", + "Levels : 0.000103854 [ 0.02 %]\n", + "Report : 1.56e-07 [ 0.00 %]\n", + "Balance : 1.41e-07 [ 0.00 %]\n", + "Adjust : 0.356402 [ 69.50 %]\n", + "Total : 0.512801 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23145 1510 287 36 7 7 8 \n", + "1 : 23186 1470 287 34 11 9 3 \n", + "2 : 23187 1482 276 31 12 8 4 \n", + "3 : 23149 1526 274 32 9 4 6 \n", + "\n", + "T : 92667 5988 1124 133 39 28 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0319e-02 sec\n", + "--- Collate = 9.2580e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.316822e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.134650e-01 > 1.000000e-01 [71301]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71301/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=34.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00147004 [ 0.34 %]\n", + "Velocity : 0.00391609 [ 0.89 %]\n", + "Force : 0.0984506 [ 22.46 %]\n", + "Coefs : 0.017225 [ 3.93 %]\n", + "Output : 0.00161872 [ 0.37 %]\n", + "Levels : 9.3283e-05 [ 0.02 %]\n", + "Report : 1.68e-07 [ 0.00 %]\n", + "Balance : 9.5e-08 [ 0.00 %]\n", + "Adjust : 0.315572 [ 71.98 %]\n", + "Total : 0.438397 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23152 1504 285 35 10 9 5 \n", + "1 : 23190 1465 283 37 16 3 6 \n", + "2 : 23186 1483 278 31 11 6 5 \n", + "3 : 23151 1522 274 29 14 3 7 \n", + "\n", + "T : 92679 5974 1120 132 51 21 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0592e-02 sec\n", + "--- Collate = 9.3780e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.681845e-06 < 1.562500e-03 [12]\n", + "--- Max DT=3.135858e-01 > 1.000000e-01 [71290]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71290/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=34.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00141817 [ 0.33 %]\n", + "Velocity : 0.00358897 [ 0.85 %]\n", + "Force : 0.0844041 [ 19.93 %]\n", + "Coefs : 0.0170577 [ 4.03 %]\n", + "Output : 0.00161791 [ 0.38 %]\n", + "Levels : 0.000102065 [ 0.02 %]\n", + "Report : 1.6e-07 [ 0.00 %]\n", + "Balance : 1.14e-07 [ 0.00 %]\n", + "Adjust : 0.315292 [ 74.44 %]\n", + "Total : 0.423533 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23144 1508 288 33 13 8 6 \n", + "1 : 23188 1462 285 44 10 4 7 \n", + "2 : 23195 1474 277 30 16 4 4 \n", + "3 : 23150 1525 275 25 15 4 6 \n", + "\n", + "T : 92677 5969 1125 132 54 20 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0362e-02 sec\n", + "--- Collate = 9.5440e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.591059e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.137012e-01 > 1.000000e-01 [71286]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71286/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=34.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00155068 [ 0.35 %]\n", + "Velocity : 0.00370738 [ 0.84 %]\n", + "Force : 0.0979963 [ 22.25 %]\n", + "Coefs : 0.0171323 [ 3.89 %]\n", + "Output : 0.00159502 [ 0.36 %]\n", + "Levels : 8.2568e-05 [ 0.02 %]\n", + "Report : 1.61e-07 [ 0.00 %]\n", + "Balance : 9.6e-08 [ 0.00 %]\n", + "Adjust : 0.31827 [ 72.27 %]\n", + "Total : 0.440386 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23140 1512 292 31 9 10 6 \n", + "1 : 23180 1475 278 49 6 4 8 \n", + "2 : 23188 1484 275 29 15 5 4 \n", + "3 : 23154 1518 278 27 14 3 6 \n", + "\n", + "T : 92662 5989 1123 136 44 22 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0448e-02 sec\n", + "--- Collate = 9.8730e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.720568e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.138113e-01 > 1.000000e-01 [71303]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71303/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=34.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00143133 [ 0.34 %]\n", + "Velocity : 0.00362313 [ 0.86 %]\n", + "Force : 0.0857857 [ 20.26 %]\n", + "Coefs : 0.0173435 [ 4.10 %]\n", + "Output : 0.00159368 [ 0.38 %]\n", + "Levels : 8.8024e-05 [ 0.02 %]\n", + "Report : 5e-08 [ 0.00 %]\n", + "Balance : 8.5e-08 [ 0.00 %]\n", + "Adjust : 0.313509 [ 74.04 %]\n", + "Total : 0.423427 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23140 1515 286 33 11 6 9 \n", + "1 : 23182 1474 279 45 7 9 4 \n", + "2 : 23185 1488 276 27 11 8 5 \n", + "3 : 23154 1519 276 31 9 6 5 \n", + "\n", + "T : 92661 5996 1117 136 38 29 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0658e-02 sec\n", + "--- Collate = 9.5760e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.837411e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.139159e-01 > 1.000000e-01 [71290]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71290/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=34.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00154619 [ 0.36 %]\n", + "Velocity : 0.00409435 [ 0.95 %]\n", + "Force : 0.0992115 [ 22.98 %]\n", + "Coefs : 0.0175803 [ 4.07 %]\n", + "Output : 0.00159292 [ 0.37 %]\n", + "Levels : 0.000118673 [ 0.03 %]\n", + "Report : 1.75e-07 [ 0.00 %]\n", + "Balance : 1.13e-07 [ 0.00 %]\n", + "Adjust : 0.307471 [ 71.23 %]\n", + "Total : 0.431666 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23142 1516 282 36 11 5 8 \n", + "1 : 23183 1473 278 44 8 10 4 \n", + "2 : 23184 1487 279 25 12 6 7 \n", + "3 : 23149 1521 274 37 8 5 6 \n", + "\n", + "T : 92658 5997 1113 142 39 26 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0667e-02 sec\n", + "--- Collate = 9.6800e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.289350e-06 < 1.562500e-03 [14]\n", + "--- Max DT=3.140153e-01 > 1.000000e-01 [71280]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71280/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=34.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00164281 [ 0.37 %]\n", + "Velocity : 0.00360967 [ 0.81 %]\n", + "Force : 0.0895681 [ 20.15 %]\n", + "Coefs : 0.0197658 [ 4.45 %]\n", + "Output : 0.00175376 [ 0.39 %]\n", + "Levels : 9.5081e-05 [ 0.02 %]\n", + "Report : 3.8e-08 [ 0.00 %]\n", + "Balance : 1.07e-07 [ 0.00 %]\n", + "Adjust : 0.327945 [ 73.79 %]\n", + "Total : 0.444437 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23147 1510 281 37 12 6 7 \n", + "1 : 23180 1475 282 40 12 7 4 \n", + "2 : 23185 1485 278 26 13 2 11 \n", + "3 : 23155 1512 276 35 11 5 6 \n", + "\n", + "T : 92667 5982 1117 138 48 20 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.6938e-02 sec\n", + "--- Collate = 9.4850e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.750938e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.141095e-01 > 1.000000e-01 [71287]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71287/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=34.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00169617 [ 0.32 %]\n", + "Velocity : 0.0043299 [ 0.83 %]\n", + "Force : 0.113063 [ 21.66 %]\n", + "Coefs : 0.0274036 [ 5.25 %]\n", + "Output : 0.00160108 [ 0.31 %]\n", + "Levels : 9.2682e-05 [ 0.02 %]\n", + "Report : 1.61e-07 [ 0.00 %]\n", + "Balance : 1.22e-07 [ 0.00 %]\n", + "Adjust : 0.373689 [ 71.60 %]\n", + "Total : 0.521933 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23144 1509 285 36 13 6 7 \n", + "1 : 23185 1472 277 41 15 6 4 \n", + "2 : 23185 1483 279 26 12 7 8 \n", + "3 : 23149 1520 272 34 15 6 4 \n", + "\n", + "T : 92663 5984 1113 137 55 25 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0746e-02 sec\n", + "--- Collate = 1.6266e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.094469e-04 < 1.562500e-03 [7]\n", + "--- Max DT=3.141989e-01 > 1.000000e-01 [71285]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71285/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=34.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00167896 [ 0.38 %]\n", + "Velocity : 0.00376657 [ 0.85 %]\n", + "Force : 0.0908836 [ 20.49 %]\n", + "Coefs : 0.0192593 [ 4.34 %]\n", + "Output : 0.00172929 [ 0.39 %]\n", + "Levels : 8.4384e-05 [ 0.02 %]\n", + "Report : 1.51e-07 [ 0.00 %]\n", + "Balance : 1.13e-07 [ 0.00 %]\n", + "Adjust : 0.326148 [ 73.52 %]\n", + "Total : 0.443606 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23146 1503 295 33 10 7 6 \n", + "1 : 23187 1475 275 39 14 7 3 \n", + "2 : 23182 1488 277 26 11 8 8 \n", + "3 : 23148 1519 278 34 14 3 4 \n", + "\n", + "T : 92663 5985 1125 132 49 25 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.7698e-02 sec\n", + "--- Collate = 1.0324e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.223394e-04 < 1.562500e-03 [10]\n", + "--- Max DT=3.142835e-01 > 1.000000e-01 [71282]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71282/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=35] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00143993 [ 0.25 %]\n", + "Velocity : 0.00383287 [ 0.68 %]\n", + "Force : 0.0854621 [ 15.09 %]\n", + "Coefs : 0.0172419 [ 3.04 %]\n", + "Output : 0.119466 [ 21.10 %]\n", + "Levels : 0.000103292 [ 0.02 %]\n", + "Report : 3.18e-07 [ 0.00 %]\n", + "Balance : 2.06e-07 [ 0.00 %]\n", + "Adjust : 0.338653 [ 59.81 %]\n", + "Total : 0.566252 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23151 1504 286 35 13 4 7 \n", + "1 : 23187 1475 277 36 15 6 4 \n", + "2 : 23177 1491 280 25 11 9 7 \n", + "3 : 23153 1512 281 32 11 9 2 \n", + "\n", + "T : 92668 5982 1124 128 50 28 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0622e-02 sec\n", + "--- Collate = 1.0335e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.743562e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.143635e-01 > 1.000000e-01 [71293]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71293/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=35.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00173339 [ 0.37 %]\n", + "Velocity : 0.00452739 [ 0.95 %]\n", + "Force : 0.102615 [ 21.62 %]\n", + "Coefs : 0.0430631 [ 9.07 %]\n", + "Output : 0.00172875 [ 0.36 %]\n", + "Levels : 9.5808e-05 [ 0.02 %]\n", + "Report : 2.13e-07 [ 0.00 %]\n", + "Balance : 1.07e-07 [ 0.00 %]\n", + "Adjust : 0.320914 [ 67.60 %]\n", + "Total : 0.474735 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23146 1511 284 37 10 6 6 \n", + "1 : 23191 1474 271 39 15 7 3 \n", + "2 : 23171 1496 281 24 16 4 8 \n", + "3 : 23148 1517 280 36 9 3 7 \n", + "\n", + "T : 92656 5998 1116 136 50 20 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1548e-02 sec\n", + "--- Collate = 9.8520e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.689754e-06 < 1.562500e-03 [13]\n", + "--- Max DT=3.144389e-01 > 1.000000e-01 [71283]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71283/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=35.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00152644 [ 0.32 %]\n", + "Velocity : 0.00413088 [ 0.88 %]\n", + "Force : 0.100236 [ 21.28 %]\n", + "Coefs : 0.0223849 [ 4.75 %]\n", + "Output : 0.00180171 [ 0.38 %]\n", + "Levels : 8.981e-05 [ 0.02 %]\n", + "Report : 1.69e-07 [ 0.00 %]\n", + "Balance : 1.11e-07 [ 0.00 %]\n", + "Adjust : 0.340865 [ 72.36 %]\n", + "Total : 0.47109 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23144 1513 282 40 9 5 7 \n", + "1 : 23184 1478 277 42 8 5 6 \n", + "2 : 23169 1497 282 26 14 7 5 \n", + "3 : 23148 1517 281 34 11 2 7 \n", + "\n", + "T : 92645 6005 1122 142 42 19 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0493e-02 sec\n", + "--- Collate = 8.9110e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.014132e-04 < 1.562500e-03 [10]\n", + "--- Max DT=3.145098e-01 > 1.000000e-01 [71284]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71284/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=35.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00140295 [ 0.29 %]\n", + "Velocity : 0.00397168 [ 0.83 %]\n", + "Force : 0.110135 [ 22.88 %]\n", + "Coefs : 0.0197088 [ 4.09 %]\n", + "Output : 0.00180023 [ 0.37 %]\n", + "Levels : 8.409e-05 [ 0.02 %]\n", + "Report : 1.65e-07 [ 0.00 %]\n", + "Balance : 8.7e-08 [ 0.00 %]\n", + "Adjust : 0.344249 [ 71.51 %]\n", + "Total : 0.481407 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23145 1510 284 39 13 4 5 \n", + "1 : 23190 1471 283 36 9 5 6 \n", + "2 : 23169 1499 282 24 14 8 4 \n", + "3 : 23150 1516 279 33 14 2 6 \n", + "\n", + "T : 92654 5996 1128 132 50 19 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0629e-02 sec\n", + "--- Collate = 8.9930e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.370810e-04 < 1.562500e-03 [8]\n", + "--- Max DT=3.145761e-01 > 1.000000e-01 [71275]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71275/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=35.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00170969 [ 0.37 %]\n", + "Velocity : 0.0038092 [ 0.83 %]\n", + "Force : 0.103049 [ 22.50 %]\n", + "Coefs : 0.0181771 [ 3.97 %]\n", + "Output : 0.00176742 [ 0.39 %]\n", + "Levels : 9.9444e-05 [ 0.02 %]\n", + "Report : 2.24e-07 [ 0.00 %]\n", + "Balance : 9.6e-08 [ 0.00 %]\n", + "Adjust : 0.329408 [ 71.91 %]\n", + "Total : 0.458076 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23145 1510 285 37 14 4 5 \n", + "1 : 23190 1473 277 42 9 4 5 \n", + "2 : 23162 1504 281 29 15 5 4 \n", + "3 : 23159 1509 278 34 13 5 2 \n", + "\n", + "T : 92656 5996 1121 142 51 18 16 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1100e-02 sec\n", + "--- Collate = 9.2900e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.198607e-05 < 1.562500e-03 [5]\n", + "--- Max DT=3.146378e-01 > 1.000000e-01 [71259]\n", + "----------------------------------------------------------------------\n", + " Component | low: 5/100000\n", + " Component | high: 71259/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=35.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00154557 [ 0.35 %]\n", + "Velocity : 0.00404058 [ 0.93 %]\n", + "Force : 0.100331 [ 22.99 %]\n", + "Coefs : 0.0176726 [ 4.05 %]\n", + "Output : 0.00161255 [ 0.37 %]\n", + "Levels : 8.9721e-05 [ 0.02 %]\n", + "Report : 2.13e-07 [ 0.00 %]\n", + "Balance : 1.03e-07 [ 0.00 %]\n", + "Adjust : 0.311061 [ 71.28 %]\n", + "Total : 0.436406 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23144 1509 287 42 10 6 2 \n", + "1 : 23194 1468 274 46 11 2 5 \n", + "2 : 23161 1504 282 28 16 2 7 \n", + "3 : 23159 1508 281 34 11 6 1 \n", + "\n", + "T : 92658 5989 1124 150 48 16 15 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0486e-02 sec\n", + "--- Collate = 9.3230e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.091963e-04 < 1.562500e-03 [11]\n", + "--- Max DT=3.146947e-01 > 1.000000e-01 [71256]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71256/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=35.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00153766 [ 0.36 %]\n", + "Velocity : 0.00405479 [ 0.94 %]\n", + "Force : 0.0888567 [ 20.61 %]\n", + "Coefs : 0.0172673 [ 4.00 %]\n", + "Output : 0.00164981 [ 0.38 %]\n", + "Levels : 0.000106879 [ 0.02 %]\n", + "Report : 1.37e-07 [ 0.00 %]\n", + "Balance : 1e-07 [ 0.00 %]\n", + "Adjust : 0.317685 [ 73.67 %]\n", + "Total : 0.431214 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23148 1506 289 39 11 5 2 \n", + "1 : 23197 1465 272 44 16 4 2 \n", + "2 : 23167 1497 283 30 13 3 7 \n", + "3 : 23159 1511 279 33 12 3 3 \n", + "\n", + "T : 92671 5979 1123 146 52 15 14 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0379e-02 sec\n", + "--- Collate = 9.0080e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.336216e-04 < 1.562500e-03 [7]\n", + "--- Max DT=3.147470e-01 > 1.000000e-01 [71270]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71270/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=35.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00156855 [ 0.35 %]\n", + "Velocity : 0.00385148 [ 0.85 %]\n", + "Force : 0.10285 [ 22.75 %]\n", + "Coefs : 0.0232159 [ 5.14 %]\n", + "Output : 0.00170745 [ 0.38 %]\n", + "Levels : 8.4037e-05 [ 0.02 %]\n", + "Report : 1.1e-07 [ 0.00 %]\n", + "Balance : 1.31e-07 [ 0.00 %]\n", + "Adjust : 0.318724 [ 70.51 %]\n", + "Total : 0.452054 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23140 1518 287 36 12 3 4 \n", + "1 : 23200 1458 277 39 19 4 3 \n", + "2 : 23172 1492 285 28 11 7 5 \n", + "3 : 23166 1502 282 37 6 2 5 \n", + "\n", + "T : 92678 5970 1131 140 48 16 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0283e-02 sec\n", + "--- Collate = 9.3490e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.646929e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.149065e-01 > 1.000000e-01 [71279]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71279/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=35.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00149448 [ 0.33 %]\n", + "Velocity : 0.00370973 [ 0.82 %]\n", + "Force : 0.103941 [ 23.01 %]\n", + "Coefs : 0.0204025 [ 4.52 %]\n", + "Output : 0.0016703 [ 0.37 %]\n", + "Levels : 9.6602e-05 [ 0.02 %]\n", + "Report : 2.19e-07 [ 0.00 %]\n", + "Balance : 1.21e-07 [ 0.00 %]\n", + "Adjust : 0.320257 [ 70.91 %]\n", + "Total : 0.451625 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23143 1510 293 36 9 5 4 \n", + "1 : 23197 1458 280 36 20 6 3 \n", + "2 : 23173 1486 291 30 9 7 4 \n", + "3 : 23174 1493 287 33 6 2 5 \n", + "\n", + "T : 92687 5947 1151 135 44 20 16 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0476e-02 sec\n", + "--- Collate = 9.0820e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.559195e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.152067e-01 > 1.000000e-01 [71275]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71275/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=35.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00158097 [ 0.36 %]\n", + "Velocity : 0.00380589 [ 0.87 %]\n", + "Force : 0.100658 [ 22.99 %]\n", + "Coefs : 0.0175504 [ 4.01 %]\n", + "Output : 0.00160077 [ 0.37 %]\n", + "Levels : 8.5835e-05 [ 0.02 %]\n", + "Report : 1.46e-07 [ 0.00 %]\n", + "Balance : 1.13e-07 [ 0.00 %]\n", + "Adjust : 0.312447 [ 71.37 %]\n", + "Total : 0.437786 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23146 1508 292 36 8 6 4 \n", + "1 : 23195 1457 284 38 15 6 5 \n", + "2 : 23178 1481 294 24 11 5 7 \n", + "3 : 23172 1492 286 33 9 3 5 \n", + "\n", + "T : 92691 5938 1156 131 43 20 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1630e-02 sec\n", + "--- Collate = 1.0803e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.256245e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.155004e-01 > 1.000000e-01 [71280]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71280/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=36] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00141351 [ 0.25 %]\n", + "Velocity : 0.0040054 [ 0.71 %]\n", + "Force : 0.0866317 [ 15.32 %]\n", + "Coefs : 0.0170702 [ 3.02 %]\n", + "Output : 0.134772 [ 23.83 %]\n", + "Levels : 9.0543e-05 [ 0.02 %]\n", + "Report : 2.24e-07 [ 0.00 %]\n", + "Balance : 2.27e-07 [ 0.00 %]\n", + "Adjust : 0.321411 [ 56.84 %]\n", + "Total : 0.565446 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23143 1507 297 33 9 5 6 \n", + "1 : 23191 1461 287 38 9 9 5 \n", + "2 : 23184 1472 297 21 10 6 10 \n", + "3 : 23174 1490 288 32 7 6 3 \n", + "\n", + "T : 92692 5930 1169 124 35 26 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0455e-02 sec\n", + "--- Collate = 9.9940e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.492558e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.157873e-01 > 1.000000e-01 [71272]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71272/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=36.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00177086 [ 0.38 %]\n", + "Velocity : 0.00485231 [ 1.05 %]\n", + "Force : 0.103796 [ 22.38 %]\n", + "Coefs : 0.0261733 [ 5.64 %]\n", + "Output : 0.001657 [ 0.36 %]\n", + "Levels : 0.000105044 [ 0.02 %]\n", + "Report : 1.8e-07 [ 0.00 %]\n", + "Balance : 1.29e-07 [ 0.00 %]\n", + "Adjust : 0.325385 [ 70.16 %]\n", + "Total : 0.463793 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23137 1516 298 30 6 7 6 \n", + "1 : 23193 1454 285 45 7 10 6 \n", + "2 : 23178 1481 291 26 9 6 9 \n", + "3 : 23169 1489 295 31 7 6 3 \n", + "\n", + "T : 92677 5940 1169 132 29 29 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0435e-02 sec\n", + "--- Collate = 9.7080e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.434937e-04 < 1.562500e-03 [14]\n", + "--- Max DT=3.160678e-01 > 1.000000e-01 [71270]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71270/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=36.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0015736 [ 0.34 %]\n", + "Velocity : 0.00398112 [ 0.86 %]\n", + "Force : 0.104536 [ 22.49 %]\n", + "Coefs : 0.0175637 [ 3.78 %]\n", + "Output : 0.00160707 [ 0.35 %]\n", + "Levels : 8.9442e-05 [ 0.02 %]\n", + "Report : 1.46e-07 [ 0.00 %]\n", + "Balance : 9.9e-08 [ 0.00 %]\n", + "Adjust : 0.335418 [ 72.16 %]\n", + "Total : 0.464821 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23142 1508 301 32 3 8 6 \n", + "1 : 23198 1446 292 39 10 7 8 \n", + "2 : 23176 1484 292 26 7 8 7 \n", + "3 : 23173 1484 301 24 10 2 6 \n", + "\n", + "T : 92689 5922 1186 121 30 25 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0267e-02 sec\n", + "--- Collate = 9.6190e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.639486e-05 < 1.562500e-03 [19]\n", + "--- Max DT=3.163419e-01 > 1.000000e-01 [71274]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 71274/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=36.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00185239 [ 0.41 %]\n", + "Velocity : 0.00369961 [ 0.82 %]\n", + "Force : 0.105062 [ 23.31 %]\n", + "Coefs : 0.0178731 [ 3.97 %]\n", + "Output : 0.00168088 [ 0.37 %]\n", + "Levels : 0.000100972 [ 0.02 %]\n", + "Report : 1.71e-07 [ 0.00 %]\n", + "Balance : 1.06e-07 [ 0.00 %]\n", + "Adjust : 0.320376 [ 71.08 %]\n", + "Total : 0.450702 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23145 1507 296 33 7 6 6 \n", + "1 : 23193 1448 293 40 11 4 11 \n", + "2 : 23179 1482 296 23 6 9 5 \n", + "3 : 23170 1488 299 23 8 5 7 \n", + "\n", + "T : 92687 5925 1184 119 32 24 29 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.2082e-02 sec\n", + "--- Collate = 9.9630e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.375048e-06 < 1.562500e-03 [16]\n", + "--- Max DT=3.166102e-01 > 1.000000e-01 [71276]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71276/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=36.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00160907 [ 0.36 %]\n", + "Velocity : 0.00388837 [ 0.88 %]\n", + "Force : 0.100506 [ 22.78 %]\n", + "Coefs : 0.0170634 [ 3.87 %]\n", + "Output : 0.00164837 [ 0.37 %]\n", + "Levels : 8.1191e-05 [ 0.02 %]\n", + "Report : 1.7e-07 [ 0.00 %]\n", + "Balance : 1.23e-07 [ 0.00 %]\n", + "Adjust : 0.316451 [ 71.71 %]\n", + "Total : 0.441298 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23135 1515 294 35 12 2 7 \n", + "1 : 23199 1444 288 41 12 5 11 \n", + "2 : 23174 1486 297 22 10 5 6 \n", + "3 : 23171 1487 299 25 5 4 9 \n", + "\n", + "T : 92679 5932 1178 123 39 16 33 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.7617e-02 sec\n", + "--- Collate = 1.2824e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.748537e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.168759e-01 > 1.000000e-01 [71281]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71281/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=36.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00154272 [ 0.32 %]\n", + "Velocity : 0.00384728 [ 0.80 %]\n", + "Force : 0.105573 [ 21.87 %]\n", + "Coefs : 0.0176273 [ 3.65 %]\n", + "Output : 0.00185344 [ 0.38 %]\n", + "Levels : 0.000141645 [ 0.03 %]\n", + "Report : 4.8e-07 [ 0.00 %]\n", + "Balance : 1.16e-07 [ 0.00 %]\n", + "Adjust : 0.351984 [ 72.93 %]\n", + "Total : 0.482624 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23128 1524 293 32 16 3 4 \n", + "1 : 23191 1455 288 40 12 8 6 \n", + "2 : 23170 1490 294 24 12 5 5 \n", + "3 : 23163 1495 294 29 6 7 6 \n", + "\n", + "T : 92652 5964 1169 125 46 23 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0847e-02 sec\n", + "--- Collate = 1.0109e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.444008e-07 < 1.562500e-03 [11]\n", + "--- Max DT=3.171378e-01 > 1.000000e-01 [71286]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71286/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=36.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00183719 [ 0.39 %]\n", + "Velocity : 0.00419535 [ 0.89 %]\n", + "Force : 0.104482 [ 22.27 %]\n", + "Coefs : 0.027141 [ 5.79 %]\n", + "Output : 0.00174705 [ 0.37 %]\n", + "Levels : 8.9112e-05 [ 0.02 %]\n", + "Report : 1.55e-07 [ 0.00 %]\n", + "Balance : 8.1e-08 [ 0.00 %]\n", + "Adjust : 0.329534 [ 70.25 %]\n", + "Total : 0.469083 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23133 1519 290 35 15 6 2 \n", + "1 : 23194 1452 291 38 12 6 7 \n", + "2 : 23170 1491 290 26 14 3 6 \n", + "3 : 23167 1494 291 34 2 6 6 \n", + "\n", + "T : 92664 5956 1162 133 43 21 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0449e-02 sec\n", + "--- Collate = 9.3080e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.307767e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.173940e-01 > 1.000000e-01 [71285]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71285/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=36.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00138996 [ 0.31 %]\n", + "Velocity : 0.00376188 [ 0.84 %]\n", + "Force : 0.0882661 [ 19.74 %]\n", + "Coefs : 0.0172187 [ 3.85 %]\n", + "Output : 0.00163075 [ 0.36 %]\n", + "Levels : 0.000100576 [ 0.02 %]\n", + "Report : 1.6e-07 [ 0.00 %]\n", + "Balance : 7.9e-08 [ 0.00 %]\n", + "Adjust : 0.334769 [ 74.86 %]\n", + "Total : 0.447194 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23131 1520 290 36 14 6 3 \n", + "1 : 23192 1453 289 38 16 8 4 \n", + "2 : 23174 1487 290 25 10 8 6 \n", + "3 : 23169 1494 288 33 6 5 5 \n", + "\n", + "T : 92666 5954 1157 132 46 27 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.9267e-02 sec\n", + "--- Collate = 1.0955e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.531302e-04 < 1.562500e-03 [11]\n", + "--- Max DT=3.176445e-01 > 1.000000e-01 [71287]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71287/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=36.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00179012 [ 0.35 %]\n", + "Velocity : 0.00429384 [ 0.85 %]\n", + "Force : 0.108979 [ 21.56 %]\n", + "Coefs : 0.0259151 [ 5.13 %]\n", + "Output : 0.00170291 [ 0.34 %]\n", + "Levels : 0.000100498 [ 0.02 %]\n", + "Report : 4.8e-08 [ 0.00 %]\n", + "Balance : 1.18e-07 [ 0.00 %]\n", + "Adjust : 0.362672 [ 71.74 %]\n", + "Total : 0.505506 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23136 1515 290 36 12 6 5 \n", + "1 : 23200 1444 290 41 16 5 4 \n", + "2 : 23169 1491 293 24 7 9 7 \n", + "3 : 23172 1489 289 32 9 2 7 \n", + "\n", + "T : 92677 5939 1162 133 44 22 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0552e-02 sec\n", + "--- Collate = 1.0541e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.190669e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.178893e-01 > 1.000000e-01 [71311]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71311/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=36.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00167537 [ 0.37 %]\n", + "Velocity : 0.00380693 [ 0.84 %]\n", + "Force : 0.101734 [ 22.52 %]\n", + "Coefs : 0.0271471 [ 6.01 %]\n", + "Output : 0.00164683 [ 0.36 %]\n", + "Levels : 9.6133e-05 [ 0.02 %]\n", + "Report : 1.71e-07 [ 0.00 %]\n", + "Balance : 1.05e-07 [ 0.00 %]\n", + "Adjust : 0.315616 [ 69.86 %]\n", + "Total : 0.451774 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23132 1517 294 37 9 4 7 \n", + "1 : 23195 1448 294 40 11 10 2 \n", + "2 : 23164 1492 297 23 11 4 9 \n", + "3 : 23168 1493 290 31 9 5 4 \n", + "\n", + "T : 92659 5950 1175 131 40 23 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0652e-02 sec\n", + "--- Collate = 9.9960e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.693884e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.181279e-01 > 1.000000e-01 [71305]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71305/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=37] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0017181 [ 0.30 %]\n", + "Velocity : 0.00364038 [ 0.64 %]\n", + "Force : 0.102003 [ 18.01 %]\n", + "Coefs : 0.0241695 [ 4.27 %]\n", + "Output : 0.121965 [ 21.53 %]\n", + "Levels : 8.3246e-05 [ 0.01 %]\n", + "Report : 4.93e-07 [ 0.00 %]\n", + "Balance : 2.86e-07 [ 0.00 %]\n", + "Adjust : 0.312758 [ 55.22 %]\n", + "Total : 0.566389 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23135 1513 296 33 12 5 6 \n", + "1 : 23195 1446 297 37 13 5 7 \n", + "2 : 23161 1493 299 24 8 6 9 \n", + "3 : 23168 1490 295 26 14 4 3 \n", + "\n", + "T : 92659 5942 1187 120 47 20 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1294e-02 sec\n", + "--- Collate = 1.0157e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.534682e-04 < 1.562500e-03 [12]\n", + "--- Max DT=3.183602e-01 > 1.000000e-01 [71286]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71286/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=37.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0011156 [ 0.22 %]\n", + "Velocity : 0.0160935 [ 3.20 %]\n", + "Force : 0.111287 [ 22.11 %]\n", + "Coefs : 0.0225807 [ 4.49 %]\n", + "Output : 0.00169848 [ 0.34 %]\n", + "Levels : 8.1885e-05 [ 0.02 %]\n", + "Report : 1.67e-07 [ 0.00 %]\n", + "Balance : 1.02e-07 [ 0.00 %]\n", + "Adjust : 0.350464 [ 69.62 %]\n", + "Total : 0.503378 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23144 1503 293 34 14 6 6 \n", + "1 : 23198 1444 293 39 11 6 9 \n", + "2 : 23159 1492 301 28 5 6 9 \n", + "3 : 23165 1492 293 27 14 8 1 \n", + "\n", + "T : 92666 5931 1180 128 44 26 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0633e-02 sec\n", + "--- Collate = 9.4960e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.062465e-06 < 1.562500e-03 [12]\n", + "--- Max DT=3.185863e-01 > 1.000000e-01 [71284]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71284/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=37.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00142986 [ 0.32 %]\n", + "Velocity : 0.00376715 [ 0.85 %]\n", + "Force : 0.085274 [ 19.35 %]\n", + "Coefs : 0.016817 [ 3.82 %]\n", + "Output : 0.00167634 [ 0.38 %]\n", + "Levels : 9.6316e-05 [ 0.02 %]\n", + "Report : 2.12e-07 [ 0.00 %]\n", + "Balance : 4.49e-07 [ 0.00 %]\n", + "Adjust : 0.331611 [ 75.24 %]\n", + "Total : 0.440723 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23149 1496 296 35 10 10 4 \n", + "1 : 23199 1445 290 40 10 7 9 \n", + "2 : 23158 1493 301 28 7 7 6 \n", + "3 : 23165 1491 293 31 10 6 4 \n", + "\n", + "T : 92671 5925 1180 134 37 30 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0639e-02 sec\n", + "--- Collate = 1.0047e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.184851e-06 < 1.562500e-03 [10]\n", + "--- Max DT=3.188060e-01 > 1.000000e-01 [71282]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71282/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=37.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00180292 [ 0.38 %]\n", + "Velocity : 0.00393732 [ 0.84 %]\n", + "Force : 0.105754 [ 22.49 %]\n", + "Coefs : 0.0223962 [ 4.76 %]\n", + "Output : 0.00164956 [ 0.35 %]\n", + "Levels : 8.9438e-05 [ 0.02 %]\n", + "Report : 1.42e-07 [ 0.00 %]\n", + "Balance : 1.49e-07 [ 0.00 %]\n", + "Adjust : 0.334635 [ 71.15 %]\n", + "Total : 0.470322 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23154 1491 296 37 10 7 5 \n", + "1 : 23197 1439 295 40 13 9 7 \n", + "2 : 23155 1495 302 32 7 4 5 \n", + "3 : 23162 1497 286 35 10 4 6 \n", + "\n", + "T : 92668 5922 1179 144 40 24 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0529e-02 sec\n", + "--- Collate = 9.4470e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.332563e-06 < 1.562500e-03 [11]\n", + "--- Max DT=3.190197e-01 > 1.000000e-01 [71293]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71293/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=37.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00145137 [ 0.33 %]\n", + "Velocity : 0.00370942 [ 0.84 %]\n", + "Force : 0.0874156 [ 19.80 %]\n", + "Coefs : 0.0172575 [ 3.91 %]\n", + "Output : 0.00165864 [ 0.38 %]\n", + "Levels : 8.4006e-05 [ 0.02 %]\n", + "Report : 1.22e-07 [ 0.00 %]\n", + "Balance : 7.6e-08 [ 0.00 %]\n", + "Adjust : 0.329908 [ 74.72 %]\n", + "Total : 0.441535 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23156 1491 292 38 13 4 6 \n", + "1 : 23191 1446 296 39 15 8 5 \n", + "2 : 23150 1498 305 32 8 5 2 \n", + "3 : 23160 1498 288 32 10 5 7 \n", + "\n", + "T : 92657 5933 1181 141 46 22 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.3584e-02 sec\n", + "--- Collate = 1.0452e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.488297e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.192271e-01 > 1.000000e-01 [71293]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71293/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=37.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00143653 [ 0.32 %]\n", + "Velocity : 0.00382716 [ 0.86 %]\n", + "Force : 0.101708 [ 22.73 %]\n", + "Coefs : 0.0210739 [ 4.71 %]\n", + "Output : 0.00166863 [ 0.37 %]\n", + "Levels : 8.0809e-05 [ 0.02 %]\n", + "Report : 1.43e-07 [ 0.00 %]\n", + "Balance : 1.12e-07 [ 0.00 %]\n", + "Adjust : 0.317649 [ 70.98 %]\n", + "Total : 0.447495 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23154 1497 288 38 14 4 5 \n", + "1 : 23188 1448 302 37 17 2 6 \n", + "2 : 23146 1503 308 24 13 4 2 \n", + "3 : 23153 1503 292 32 7 7 6 \n", + "\n", + "T : 92641 5951 1190 131 51 17 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0608e-02 sec\n", + "--- Collate = 9.7370e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.395040e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.194287e-01 > 1.000000e-01 [71304]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71304/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=37.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00149538 [ 0.32 %]\n", + "Velocity : 0.0036906 [ 0.79 %]\n", + "Force : 0.107874 [ 23.02 %]\n", + "Coefs : 0.0183589 [ 3.92 %]\n", + "Output : 0.00175803 [ 0.38 %]\n", + "Levels : 9.3525e-05 [ 0.02 %]\n", + "Report : 2.29e-07 [ 0.00 %]\n", + "Balance : 1.07e-07 [ 0.00 %]\n", + "Adjust : 0.335241 [ 71.55 %]\n", + "Total : 0.468567 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23150 1500 288 39 12 5 6 \n", + "1 : 23184 1451 309 31 14 7 4 \n", + "2 : 23139 1512 303 29 14 1 2 \n", + "3 : 23146 1513 286 33 10 6 6 \n", + "\n", + "T : 92619 5976 1186 132 50 19 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0668e-02 sec\n", + "--- Collate = 1.0436e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.426181e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.196243e-01 > 1.000000e-01 [71315]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71315/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=37.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00147823 [ 0.34 %]\n", + "Velocity : 0.00376888 [ 0.86 %]\n", + "Force : 0.100766 [ 22.95 %]\n", + "Coefs : 0.0254942 [ 5.81 %]\n", + "Output : 0.00162998 [ 0.37 %]\n", + "Levels : 8.6153e-05 [ 0.02 %]\n", + "Report : 6.29e-07 [ 0.00 %]\n", + "Balance : 1.28e-07 [ 0.00 %]\n", + "Adjust : 0.305816 [ 69.65 %]\n", + "Total : 0.439091 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23140 1510 290 32 14 9 5 \n", + "1 : 23184 1446 315 34 9 8 4 \n", + "2 : 23140 1508 304 34 10 1 3 \n", + "3 : 23146 1515 286 27 17 4 5 \n", + "\n", + "T : 92610 5979 1195 127 50 22 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1325e-02 sec\n", + "--- Collate = 9.6410e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.558346e-04 < 1.562500e-03 [10]\n", + "--- Max DT=3.198142e-01 > 1.000000e-01 [71323]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71323/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=37.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0014511 [ 0.32 %]\n", + "Velocity : 0.00373589 [ 0.83 %]\n", + "Force : 0.100131 [ 22.25 %]\n", + "Coefs : 0.0168801 [ 3.75 %]\n", + "Output : 0.00163091 [ 0.36 %]\n", + "Levels : 9.0985e-05 [ 0.02 %]\n", + "Report : 1.54e-07 [ 0.00 %]\n", + "Balance : 7.3e-08 [ 0.00 %]\n", + "Adjust : 0.326104 [ 72.46 %]\n", + "Total : 0.450076 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23144 1504 290 33 15 6 8 \n", + "1 : 23188 1446 310 30 11 8 7 \n", + "2 : 23140 1504 308 35 5 5 3 \n", + "3 : 23149 1509 288 32 12 7 3 \n", + "\n", + "T : 92621 5963 1196 130 43 26 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0541e-02 sec\n", + "--- Collate = 9.9030e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.854504e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.199982e-01 > 1.000000e-01 [71321]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71321/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=37.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00146985 [ 0.32 %]\n", + "Velocity : 0.00371249 [ 0.80 %]\n", + "Force : 0.099269 [ 21.52 %]\n", + "Coefs : 0.0175106 [ 3.80 %]\n", + "Output : 0.00170905 [ 0.37 %]\n", + "Levels : 7.8998e-05 [ 0.02 %]\n", + "Report : 4.36e-07 [ 0.00 %]\n", + "Balance : 8.7e-08 [ 0.00 %]\n", + "Adjust : 0.337526 [ 73.16 %]\n", + "Total : 0.46133 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23146 1503 291 31 14 9 6 \n", + "1 : 23179 1459 301 34 10 10 7 \n", + "2 : 23136 1504 310 38 3 5 4 \n", + "3 : 23149 1505 292 32 7 9 6 \n", + "\n", + "T : 92610 5971 1194 135 34 33 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0462e-02 sec\n", + "--- Collate = 9.7200e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.052102e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.201760e-01 > 1.000000e-01 [71315]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71315/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=38] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00147962 [ 0.26 %]\n", + "Velocity : 0.00392854 [ 0.69 %]\n", + "Force : 0.0996635 [ 17.55 %]\n", + "Coefs : 0.0176669 [ 3.11 %]\n", + "Output : 0.116407 [ 20.50 %]\n", + "Levels : 9.0731e-05 [ 0.02 %]\n", + "Report : 4.99e-07 [ 0.00 %]\n", + "Balance : 2.73e-07 [ 0.00 %]\n", + "Adjust : 0.328565 [ 57.86 %]\n", + "Total : 0.567855 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23146 1503 292 33 9 9 8 \n", + "1 : 23182 1449 309 35 11 6 8 \n", + "2 : 23138 1502 309 34 8 5 4 \n", + "3 : 23154 1500 294 26 13 6 7 \n", + "\n", + "T : 92620 5954 1204 128 41 26 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.8946e-02 sec\n", + "--- Collate = 1.2875e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.136243e-04 < 1.562500e-03 [14]\n", + "--- Max DT=3.203480e-01 > 1.000000e-01 [71332]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71332/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=38.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00126604 [ 0.24 %]\n", + "Velocity : 0.00443937 [ 0.85 %]\n", + "Force : 0.110435 [ 21.09 %]\n", + "Coefs : 0.0428507 [ 8.18 %]\n", + "Output : 0.00176939 [ 0.34 %]\n", + "Levels : 0.000116785 [ 0.02 %]\n", + "Report : 1.74e-07 [ 0.00 %]\n", + "Balance : 1.31e-07 [ 0.00 %]\n", + "Adjust : 0.362758 [ 69.27 %]\n", + "Total : 0.523694 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23145 1500 299 32 8 8 8 \n", + "1 : 23174 1457 310 32 12 8 7 \n", + "2 : 23137 1506 306 31 13 2 5 \n", + "3 : 23157 1501 287 27 13 7 8 \n", + "\n", + "T : 92613 5964 1202 122 46 25 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0585e-02 sec\n", + "--- Collate = 9.4440e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.725686e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.205142e-01 > 1.000000e-01 [71335]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71335/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=38.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00161379 [ 0.33 %]\n", + "Velocity : 0.00406355 [ 0.83 %]\n", + "Force : 0.0937406 [ 19.15 %]\n", + "Coefs : 0.0280678 [ 5.73 %]\n", + "Output : 0.00178491 [ 0.36 %]\n", + "Levels : 8.4406e-05 [ 0.02 %]\n", + "Report : 1.4e-07 [ 0.00 %]\n", + "Balance : 1e-07 [ 0.00 %]\n", + "Adjust : 0.360071 [ 73.56 %]\n", + "Total : 0.489485 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23145 1497 307 27 10 3 11 \n", + "1 : 23172 1460 311 29 11 8 9 \n", + "2 : 23144 1499 304 32 13 5 3 \n", + "3 : 23146 1512 287 28 11 8 8 \n", + "\n", + "T : 92607 5968 1209 116 45 24 31 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0666e-02 sec\n", + "--- Collate = 1.9329e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.746927e-06 < 1.562500e-03 [13]\n", + "--- Max DT=3.206749e-01 > 1.000000e-01 [71327]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71327/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=38.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00152517 [ 0.34 %]\n", + "Velocity : 0.00399482 [ 0.88 %]\n", + "Force : 0.104366 [ 23.08 %]\n", + "Coefs : 0.0187603 [ 4.15 %]\n", + "Output : 0.00177202 [ 0.39 %]\n", + "Levels : 0.000113081 [ 0.03 %]\n", + "Report : 4.52e-07 [ 0.00 %]\n", + "Balance : 1.95e-07 [ 0.00 %]\n", + "Adjust : 0.321567 [ 71.12 %]\n", + "Total : 0.452153 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23144 1503 304 25 10 4 10 \n", + "1 : 23166 1470 307 32 8 8 9 \n", + "2 : 23141 1504 300 35 13 5 2 \n", + "3 : 23147 1511 289 28 10 9 6 \n", + "\n", + "T : 92598 5988 1200 120 41 26 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0223e-02 sec\n", + "--- Collate = 9.0780e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.285995e-04 < 1.562500e-03 [12]\n", + "--- Max DT=3.208303e-01 > 1.000000e-01 [71338]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71338/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=38.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00151685 [ 0.32 %]\n", + "Velocity : 0.00381158 [ 0.81 %]\n", + "Force : 0.105848 [ 22.45 %]\n", + "Coefs : 0.0177019 [ 3.76 %]\n", + "Output : 0.00157208 [ 0.33 %]\n", + "Levels : 0.000100639 [ 0.02 %]\n", + "Report : 1.43e-07 [ 0.00 %]\n", + "Balance : 1.07e-07 [ 0.00 %]\n", + "Adjust : 0.340793 [ 72.29 %]\n", + "Total : 0.471394 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23146 1504 296 29 12 7 6 \n", + "1 : 23160 1472 312 32 7 8 9 \n", + "2 : 23140 1503 305 33 11 4 4 \n", + "3 : 23153 1507 290 28 7 7 8 \n", + "\n", + "T : 92599 5986 1203 122 37 26 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0499e-02 sec\n", + "--- Collate = 8.8290e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.362567e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.209800e-01 > 1.000000e-01 [71357]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71357/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=38.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00153275 [ 0.33 %]\n", + "Velocity : 0.00366903 [ 0.80 %]\n", + "Force : 0.104041 [ 22.73 %]\n", + "Coefs : 0.0238978 [ 5.22 %]\n", + "Output : 0.00166565 [ 0.36 %]\n", + "Levels : 8.2415e-05 [ 0.02 %]\n", + "Report : 1.45e-07 [ 0.00 %]\n", + "Balance : 1.47e-07 [ 0.00 %]\n", + "Adjust : 0.322839 [ 70.52 %]\n", + "Total : 0.457778 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23142 1504 300 29 12 12 1 \n", + "1 : 23157 1473 314 33 10 6 7 \n", + "2 : 23142 1498 304 38 8 4 6 \n", + "3 : 23155 1501 287 34 13 5 5 \n", + "\n", + "T : 92596 5976 1205 134 43 27 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0420e-02 sec\n", + "--- Collate = 8.9390e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.781494e-06 < 1.562500e-03 [8]\n", + "--- Max DT=3.211243e-01 > 1.000000e-01 [71361]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71361/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=38.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00167078 [ 0.33 %]\n", + "Velocity : 0.00385721 [ 0.76 %]\n", + "Force : 0.113082 [ 22.22 %]\n", + "Coefs : 0.0253378 [ 4.98 %]\n", + "Output : 0.00182782 [ 0.36 %]\n", + "Levels : 8.1117e-05 [ 0.02 %]\n", + "Report : 1.39e-07 [ 0.00 %]\n", + "Balance : 6.3e-08 [ 0.00 %]\n", + "Adjust : 0.36293 [ 71.32 %]\n", + "Total : 0.508851 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23141 1507 301 27 12 5 7 \n", + "1 : 23148 1484 311 36 9 6 6 \n", + "2 : 23141 1499 305 36 9 5 5 \n", + "3 : 23148 1512 280 36 16 3 5 \n", + "\n", + "T : 92578 6002 1197 135 46 19 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0807e-02 sec\n", + "--- Collate = 1.6683e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.780779e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.212633e-01 > 1.000000e-01 [71369]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71369/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=38.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00161927 [ 0.36 %]\n", + "Velocity : 0.00409126 [ 0.90 %]\n", + "Force : 0.102118 [ 22.43 %]\n", + "Coefs : 0.0257801 [ 5.66 %]\n", + "Output : 0.00167058 [ 0.37 %]\n", + "Levels : 9.6245e-05 [ 0.02 %]\n", + "Report : 1.72e-07 [ 0.00 %]\n", + "Balance : 1.21e-07 [ 0.00 %]\n", + "Adjust : 0.319819 [ 70.25 %]\n", + "Total : 0.455246 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23144 1503 297 31 16 0 9 \n", + "1 : 23150 1481 310 36 10 9 4 \n", + "2 : 23142 1501 307 28 11 5 6 \n", + "3 : 23154 1504 286 37 10 6 3 \n", + "\n", + "T : 92590 5989 1200 132 47 20 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0527e-02 sec\n", + "--- Collate = 9.5410e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.208928e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.213968e-01 > 1.000000e-01 [71386]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71386/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=38.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00229363 [ 0.50 %]\n", + "Velocity : 0.00409593 [ 0.90 %]\n", + "Force : 0.102962 [ 22.59 %]\n", + "Coefs : 0.025986 [ 5.70 %]\n", + "Output : 0.00172166 [ 0.38 %]\n", + "Levels : 0.000100801 [ 0.02 %]\n", + "Report : 1.34e-07 [ 0.00 %]\n", + "Balance : 8.9e-08 [ 0.00 %]\n", + "Adjust : 0.318487 [ 69.89 %]\n", + "Total : 0.455703 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23143 1504 299 35 9 2 8 \n", + "1 : 23142 1490 311 35 12 4 6 \n", + "2 : 23137 1502 310 30 11 5 5 \n", + "3 : 23150 1506 289 37 10 7 1 \n", + "\n", + "T : 92572 6002 1209 137 42 18 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.4688e-02 sec\n", + "--- Collate = 9.2110e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.919212e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.215248e-01 > 1.000000e-01 [71384]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71384/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=38.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00156526 [ 0.31 %]\n", + "Velocity : 0.00379729 [ 0.75 %]\n", + "Force : 0.110813 [ 21.98 %]\n", + "Coefs : 0.0261497 [ 5.19 %]\n", + "Output : 0.0018285 [ 0.36 %]\n", + "Levels : 0.000106123 [ 0.02 %]\n", + "Report : 1.59e-07 [ 0.00 %]\n", + "Balance : 8.1e-08 [ 0.00 %]\n", + "Adjust : 0.359793 [ 71.37 %]\n", + "Total : 0.50411 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23146 1507 293 38 6 6 4 \n", + "1 : 23143 1489 311 38 8 6 5 \n", + "2 : 23137 1503 306 31 13 4 6 \n", + "3 : 23151 1506 289 35 12 3 4 \n", + "\n", + "T : 92577 6005 1199 142 39 19 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0493e-02 sec\n", + "--- Collate = 8.9170e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.311499e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.216475e-01 > 1.000000e-01 [71389]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71389/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=39] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00152248 [ 0.25 %]\n", + "Velocity : 0.00370952 [ 0.61 %]\n", + "Force : 0.108202 [ 17.73 %]\n", + "Coefs : 0.0240705 [ 3.94 %]\n", + "Output : 0.133615 [ 21.90 %]\n", + "Levels : 9.8256e-05 [ 0.02 %]\n", + "Report : 5.04e-07 [ 0.00 %]\n", + "Balance : 2.76e-07 [ 0.00 %]\n", + "Adjust : 0.338937 [ 55.54 %]\n", + "Total : 0.610207 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23143 1515 287 38 8 8 1 \n", + "1 : 23147 1482 317 36 8 5 5 \n", + "2 : 23128 1511 306 34 8 8 5 \n", + "3 : 23150 1513 287 32 6 7 5 \n", + "\n", + "T : 92568 6021 1197 140 30 28 16 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.9286e-02 sec\n", + "--- Collate = 1.0509e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.228980e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.217646e-01 > 1.000000e-01 [71395]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71395/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=39.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00206961 [ 0.38 %]\n", + "Velocity : 0.0054319 [ 1.01 %]\n", + "Force : 0.116246 [ 21.53 %]\n", + "Coefs : 0.0308043 [ 5.70 %]\n", + "Output : 0.00189337 [ 0.35 %]\n", + "Levels : 9.146e-05 [ 0.02 %]\n", + "Report : 1.68e-07 [ 0.00 %]\n", + "Balance : 9.3e-08 [ 0.00 %]\n", + "Adjust : 0.383365 [ 71.00 %]\n", + "Total : 0.539961 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23140 1518 289 36 10 5 2 \n", + "1 : 23144 1488 313 37 9 5 4 \n", + "2 : 23132 1508 307 29 10 9 5 \n", + "3 : 23144 1521 291 28 4 7 5 \n", + "\n", + "T : 92560 6035 1200 130 33 26 16 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.8840e-02 sec\n", + "--- Collate = 1.0707e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.851218e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.218765e-01 > 1.000000e-01 [71400]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71400/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=39.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00164662 [ 0.30 %]\n", + "Velocity : 0.00411364 [ 0.75 %]\n", + "Force : 0.115719 [ 20.99 %]\n", + "Coefs : 0.0285845 [ 5.19 %]\n", + "Output : 0.00195434 [ 0.35 %]\n", + "Levels : 0.000103544 [ 0.02 %]\n", + "Report : 1.68e-07 [ 0.00 %]\n", + "Balance : 1.2e-07 [ 0.00 %]\n", + "Adjust : 0.399106 [ 72.39 %]\n", + "Total : 0.551292 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23138 1519 295 33 7 5 3 \n", + "1 : 23140 1495 309 36 13 3 4 \n", + "2 : 23132 1511 302 35 5 5 10 \n", + "3 : 23135 1524 295 30 6 4 6 \n", + "\n", + "T : 92545 6049 1201 134 31 17 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.7346e-02 sec\n", + "--- Collate = 9.7610e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.873674e-06 < 1.562500e-03 [14]\n", + "--- Max DT=3.219828e-01 > 1.000000e-01 [71414]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71414/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=39.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00163851 [ 0.34 %]\n", + "Velocity : 0.00393745 [ 0.82 %]\n", + "Force : 0.1021 [ 21.16 %]\n", + "Coefs : 0.0267459 [ 5.54 %]\n", + "Output : 0.00182827 [ 0.38 %]\n", + "Levels : 0.000105998 [ 0.02 %]\n", + "Report : 1.7e-07 [ 0.00 %]\n", + "Balance : 8.7e-08 [ 0.00 %]\n", + "Adjust : 0.34618 [ 71.73 %]\n", + "Total : 0.482589 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23144 1513 296 32 8 0 7 \n", + "1 : 23140 1496 307 38 11 5 3 \n", + "2 : 23128 1511 305 35 9 4 8 \n", + "3 : 23127 1529 300 27 8 4 5 \n", + "\n", + "T : 92539 6049 1208 132 36 13 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0757e-02 sec\n", + "--- Collate = 9.5270e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.233597e-05 < 1.562500e-03 [5]\n", + "--- Max DT=3.220840e-01 > 1.000000e-01 [71409]\n", + "----------------------------------------------------------------------\n", + " Component | low: 5/100000\n", + " Component | high: 71409/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=39.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00227578 [ 0.44 %]\n", + "Velocity : 0.00531732 [ 1.02 %]\n", + "Force : 0.113528 [ 21.81 %]\n", + "Coefs : 0.0282513 [ 5.43 %]\n", + "Output : 0.00174278 [ 0.33 %]\n", + "Levels : 9.847e-05 [ 0.02 %]\n", + "Report : 1.5e-07 [ 0.00 %]\n", + "Balance : 1.17e-07 [ 0.00 %]\n", + "Adjust : 0.369189 [ 70.94 %]\n", + "Total : 0.52046 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23136 1521 296 33 7 1 6 \n", + "1 : 23142 1492 311 34 12 6 3 \n", + "2 : 23132 1509 303 35 11 2 8 \n", + "3 : 23125 1539 294 26 7 5 4 \n", + "\n", + "T : 92535 6061 1204 128 37 14 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0349e-02 sec\n", + "--- Collate = 9.5930e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.328168e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.221800e-01 > 1.000000e-01 [71416]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71416/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=39.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00171241 [ 0.37 %]\n", + "Velocity : 0.00374501 [ 0.81 %]\n", + "Force : 0.104027 [ 22.63 %]\n", + "Coefs : 0.0241001 [ 5.24 %]\n", + "Output : 0.00165971 [ 0.36 %]\n", + "Levels : 8.6537e-05 [ 0.02 %]\n", + "Report : 1.65e-07 [ 0.00 %]\n", + "Balance : 9.7e-08 [ 0.00 %]\n", + "Adjust : 0.324273 [ 70.55 %]\n", + "Total : 0.459656 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23137 1518 297 35 5 4 4 \n", + "1 : 23143 1491 311 31 13 6 5 \n", + "2 : 23125 1517 299 39 11 7 2 \n", + "3 : 23120 1545 295 25 6 6 3 \n", + "\n", + "T : 92525 6071 1202 130 35 23 14 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0445e-02 sec\n", + "--- Collate = 8.8760e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.464444e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.222710e-01 > 1.000000e-01 [71430]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71430/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=39.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00151043 [ 0.33 %]\n", + "Velocity : 0.00372052 [ 0.82 %]\n", + "Force : 0.102086 [ 22.58 %]\n", + "Coefs : 0.023608 [ 5.22 %]\n", + "Output : 0.00160902 [ 0.36 %]\n", + "Levels : 8.4441e-05 [ 0.02 %]\n", + "Report : 1.49e-07 [ 0.00 %]\n", + "Balance : 6.6e-08 [ 0.00 %]\n", + "Adjust : 0.319419 [ 70.65 %]\n", + "Total : 0.452091 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23136 1518 301 30 7 6 2 \n", + "1 : 23143 1488 315 29 12 5 8 \n", + "2 : 23125 1515 300 39 11 7 3 \n", + "3 : 23116 1546 299 23 11 1 4 \n", + "\n", + "T : 92520 6067 1215 121 41 19 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1422e-02 sec\n", + "--- Collate = 1.0165e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.158696e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.223569e-01 > 1.000000e-01 [71428]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71428/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=39.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00150865 [ 0.32 %]\n", + "Velocity : 0.00363582 [ 0.78 %]\n", + "Force : 0.105871 [ 22.80 %]\n", + "Coefs : 0.0203514 [ 4.38 %]\n", + "Output : 0.00170322 [ 0.37 %]\n", + "Levels : 8.1156e-05 [ 0.02 %]\n", + "Report : 1.64e-07 [ 0.00 %]\n", + "Balance : 8.6e-08 [ 0.00 %]\n", + "Adjust : 0.331106 [ 71.31 %]\n", + "Total : 0.46431 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23137 1519 298 28 10 4 4 \n", + "1 : 23140 1491 314 34 4 9 8 \n", + "2 : 23121 1520 297 39 13 7 3 \n", + "3 : 23113 1548 295 32 8 0 4 \n", + "\n", + "T : 92511 6078 1204 133 35 20 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0843e-02 sec\n", + "--- Collate = 9.6550e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.172929e-04 < 1.562500e-03 [13]\n", + "--- Max DT=3.224379e-01 > 1.000000e-01 [71427]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71427/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=39.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00168014 [ 0.36 %]\n", + "Velocity : 0.00427434 [ 0.91 %]\n", + "Force : 0.106935 [ 22.69 %]\n", + "Coefs : 0.028474 [ 6.04 %]\n", + "Output : 0.00168554 [ 0.36 %]\n", + "Levels : 9.5069e-05 [ 0.02 %]\n", + "Report : 1.5e-07 [ 0.00 %]\n", + "Balance : 7.4e-08 [ 0.00 %]\n", + "Adjust : 0.328059 [ 69.61 %]\n", + "Total : 0.471256 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23140 1511 302 29 9 3 6 \n", + "1 : 23145 1493 306 35 5 5 11 \n", + "2 : 23124 1521 293 37 13 4 8 \n", + "3 : 23118 1544 292 33 9 2 2 \n", + "\n", + "T : 92527 6069 1193 134 36 14 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0337e-02 sec\n", + "--- Collate = 9.1950e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.355403e-05 < 1.562500e-03 [20]\n", + "--- Max DT=3.225138e-01 > 1.000000e-01 [71447]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 71447/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=39.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00156854 [ 0.36 %]\n", + "Velocity : 0.00379007 [ 0.87 %]\n", + "Force : 0.089322 [ 20.59 %]\n", + "Coefs : 0.0171019 [ 3.94 %]\n", + "Output : 0.001638 [ 0.38 %]\n", + "Levels : 8.2741e-05 [ 0.02 %]\n", + "Report : 1.55e-07 [ 0.00 %]\n", + "Balance : 8e-08 [ 0.00 %]\n", + "Adjust : 0.320294 [ 73.83 %]\n", + "Total : 0.433848 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23136 1517 299 29 7 5 7 \n", + "1 : 23138 1500 304 37 7 6 8 \n", + "2 : 23124 1522 296 35 11 3 9 \n", + "3 : 23120 1544 289 35 6 6 0 \n", + "\n", + "T : 92518 6083 1188 136 31 20 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0409e-02 sec\n", + "--- Collate = 9.3610e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.708651e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.225843e-01 > 1.000000e-01 [71442]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71442/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=40] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00183931 [ 0.33 %]\n", + "Velocity : 0.00357797 [ 0.64 %]\n", + "Force : 0.104117 [ 18.65 %]\n", + "Coefs : 0.0226322 [ 4.05 %]\n", + "Output : 0.104097 [ 18.65 %]\n", + "Levels : 8.1129e-05 [ 0.01 %]\n", + "Report : 2.2e-07 [ 0.00 %]\n", + "Balance : 1.67e-07 [ 0.00 %]\n", + "Adjust : 0.321797 [ 57.65 %]\n", + "Total : 0.558212 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23135 1512 304 30 6 7 6 \n", + "1 : 23128 1515 300 35 10 2 10 \n", + "2 : 23122 1524 302 28 8 8 8 \n", + "3 : 23122 1544 288 32 8 4 2 \n", + "\n", + "T : 92507 6095 1194 125 32 21 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.8528e-02 sec\n", + "--- Collate = 1.3901e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.800435e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.226495e-01 > 1.000000e-01 [71439]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71439/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=40.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00119666 [ 0.22 %]\n", + "Velocity : 0.00579633 [ 1.08 %]\n", + "Force : 0.115245 [ 21.44 %]\n", + "Coefs : 0.0317425 [ 5.91 %]\n", + "Output : 0.00184013 [ 0.34 %]\n", + "Levels : 0.000128366 [ 0.02 %]\n", + "Report : 2.09e-07 [ 0.00 %]\n", + "Balance : 1.45e-07 [ 0.00 %]\n", + "Adjust : 0.381415 [ 70.97 %]\n", + "Total : 0.53742 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23134 1510 307 30 6 7 6 \n", + "1 : 23130 1509 304 35 5 13 4 \n", + "2 : 23127 1518 306 24 8 8 9 \n", + "3 : 23126 1538 291 32 7 2 4 \n", + "\n", + "T : 92517 6075 1208 121 26 30 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 2.0449e-02 sec\n", + "--- Collate = 1.2629e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.209084e-05 < 1.562500e-03 [17]\n", + "--- Max DT=3.227097e-01 > 1.000000e-01 [71451]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71451/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=40.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00198509 [ 0.37 %]\n", + "Velocity : 0.00456369 [ 0.86 %]\n", + "Force : 0.114395 [ 21.51 %]\n", + "Coefs : 0.0291709 [ 5.49 %]\n", + "Output : 0.0016679 [ 0.31 %]\n", + "Levels : 0.000113712 [ 0.02 %]\n", + "Report : 2.01e-07 [ 0.00 %]\n", + "Balance : 1.43e-07 [ 0.00 %]\n", + "Adjust : 0.379853 [ 71.43 %]\n", + "Total : 0.531809 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23134 1510 310 27 7 6 6 \n", + "1 : 23124 1514 308 32 8 11 3 \n", + "2 : 23133 1514 300 26 12 5 10 \n", + "3 : 23127 1535 296 30 5 1 6 \n", + "\n", + "T : 92518 6073 1214 115 32 23 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0500e-02 sec\n", + "--- Collate = 9.5950e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.192627e-04 < 1.562500e-03 [13]\n", + "--- Max DT=3.227647e-01 > 1.000000e-01 [71448]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71448/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=40.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00158243 [ 0.32 %]\n", + "Velocity : 0.00398942 [ 0.80 %]\n", + "Force : 0.111322 [ 22.38 %]\n", + "Coefs : 0.0301954 [ 6.07 %]\n", + "Output : 0.0018114 [ 0.36 %]\n", + "Levels : 9.4293e-05 [ 0.02 %]\n", + "Report : 1.55e-07 [ 0.00 %]\n", + "Balance : 1.23e-07 [ 0.00 %]\n", + "Adjust : 0.348409 [ 70.04 %]\n", + "Total : 0.497462 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23135 1510 308 29 6 7 5 \n", + "1 : 23131 1509 308 28 15 5 4 \n", + "2 : 23139 1507 304 22 11 5 12 \n", + "3 : 23132 1530 297 26 8 2 5 \n", + "\n", + "T : 92537 6056 1217 105 40 19 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0281e-02 sec\n", + "--- Collate = 8.6820e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.927029e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.228150e-01 > 1.000000e-01 [71456]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71456/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=40.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00186846 [ 0.41 %]\n", + "Velocity : 0.00368601 [ 0.81 %]\n", + "Force : 0.104 [ 22.96 %]\n", + "Coefs : 0.0220918 [ 4.88 %]\n", + "Output : 0.0016547 [ 0.37 %]\n", + "Levels : 8.971e-05 [ 0.02 %]\n", + "Report : 2.32e-07 [ 0.00 %]\n", + "Balance : 9.5e-08 [ 0.00 %]\n", + "Adjust : 0.319553 [ 70.54 %]\n", + "Total : 0.452996 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23133 1512 307 27 10 5 6 \n", + "1 : 23130 1510 309 32 10 4 5 \n", + "2 : 23149 1496 305 22 10 10 8 \n", + "3 : 23123 1537 300 24 11 2 3 \n", + "\n", + "T : 92535 6055 1221 105 41 21 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0490e-02 sec\n", + "--- Collate = 9.9130e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.569627e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.228603e-01 > 1.000000e-01 [71466]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71466/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=40.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00162 [ 0.34 %]\n", + "Velocity : 0.0037866 [ 0.80 %]\n", + "Force : 0.109689 [ 23.10 %]\n", + "Coefs : 0.0187293 [ 3.94 %]\n", + "Output : 0.00158471 [ 0.33 %]\n", + "Levels : 0.00011176 [ 0.02 %]\n", + "Report : 1.51e-07 [ 0.00 %]\n", + "Balance : 1.29e-07 [ 0.00 %]\n", + "Adjust : 0.339202 [ 71.44 %]\n", + "Total : 0.474777 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23142 1500 310 29 8 5 6 \n", + "1 : 23130 1508 309 31 11 5 6 \n", + "2 : 23142 1504 302 26 8 12 6 \n", + "3 : 23122 1537 297 26 12 5 1 \n", + "\n", + "T : 92536 6049 1218 112 39 27 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0421e-02 sec\n", + "--- Collate = 8.9120e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.851982e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.229011e-01 > 1.000000e-01 [71442]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71442/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=40.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00188382 [ 0.42 %]\n", + "Velocity : 0.00382164 [ 0.85 %]\n", + "Force : 0.0890698 [ 19.81 %]\n", + "Coefs : 0.0173519 [ 3.86 %]\n", + "Output : 0.0017197 [ 0.38 %]\n", + "Levels : 7.7322e-05 [ 0.02 %]\n", + "Report : 1.5e-07 [ 0.00 %]\n", + "Balance : 1.13e-07 [ 0.00 %]\n", + "Adjust : 0.335703 [ 74.65 %]\n", + "Total : 0.449686 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23136 1499 314 35 6 4 6 \n", + "1 : 23121 1516 309 30 12 5 7 \n", + "2 : 23139 1508 302 23 12 8 8 \n", + "3 : 23128 1537 292 24 11 7 1 \n", + "\n", + "T : 92524 6060 1217 112 41 24 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0457e-02 sec\n", + "--- Collate = 9.2630e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.312526e-06 < 1.562500e-03 [11]\n", + "--- Max DT=3.229368e-01 > 1.000000e-01 [71444]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71444/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=40.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00149798 [ 0.34 %]\n", + "Velocity : 0.0040255 [ 0.90 %]\n", + "Force : 0.0858673 [ 19.21 %]\n", + "Coefs : 0.0172607 [ 3.86 %]\n", + "Output : 0.00182237 [ 0.41 %]\n", + "Levels : 8.6771e-05 [ 0.02 %]\n", + "Report : 1.65e-07 [ 0.00 %]\n", + "Balance : 1.22e-07 [ 0.00 %]\n", + "Adjust : 0.336412 [ 75.26 %]\n", + "Total : 0.447024 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23134 1499 316 38 4 5 4 \n", + "1 : 23106 1529 307 33 13 3 9 \n", + "2 : 23140 1507 300 26 12 9 6 \n", + "3 : 23127 1534 294 27 9 4 5 \n", + "\n", + "T : 92507 6069 1217 124 38 21 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0115e-02 sec\n", + "--- Collate = 9.5180e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.922699e-06 < 1.562500e-03 [12]\n", + "--- Max DT=3.229680e-01 > 1.000000e-01 [71445]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71445/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=40.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00163357 [ 0.36 %]\n", + "Velocity : 0.00380683 [ 0.83 %]\n", + "Force : 0.104015 [ 22.64 %]\n", + "Coefs : 0.021581 [ 4.70 %]\n", + "Output : 0.0017706 [ 0.39 %]\n", + "Levels : 8.3855e-05 [ 0.02 %]\n", + "Report : 4.78e-07 [ 0.00 %]\n", + "Balance : 1.54e-07 [ 0.00 %]\n", + "Adjust : 0.326586 [ 71.07 %]\n", + "Total : 0.459532 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23128 1502 318 39 4 6 3 \n", + "1 : 23101 1540 299 35 11 8 6 \n", + "2 : 23142 1504 296 31 11 6 10 \n", + "3 : 23129 1529 297 30 6 2 7 \n", + "\n", + "T : 92500 6075 1210 135 32 22 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1279e-02 sec\n", + "--- Collate = 1.1882e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.603117e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.229944e-01 > 1.000000e-01 [71446]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71446/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=40.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00155262 [ 0.34 %]\n", + "Velocity : 0.00367971 [ 0.80 %]\n", + "Force : 0.105829 [ 23.04 %]\n", + "Coefs : 0.0257397 [ 5.60 %]\n", + "Output : 0.00153618 [ 0.33 %]\n", + "Levels : 8.8077e-05 [ 0.02 %]\n", + "Report : 1.59e-07 [ 0.00 %]\n", + "Balance : 1.18e-07 [ 0.00 %]\n", + "Adjust : 0.320888 [ 69.85 %]\n", + "Total : 0.459366 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23128 1502 315 39 9 2 5 \n", + "1 : 23103 1536 304 35 8 9 5 \n", + "2 : 23148 1499 298 28 11 10 6 \n", + "3 : 23126 1531 297 29 8 1 8 \n", + "\n", + "T : 92505 6068 1214 131 36 22 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0865e-02 sec\n", + "--- Collate = 9.3610e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.136829e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.230159e-01 > 1.000000e-01 [71439]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71439/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=41] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00173884 [ 0.30 %]\n", + "Velocity : 0.00394019 [ 0.67 %]\n", + "Force : 0.0900138 [ 15.37 %]\n", + "Coefs : 0.0187981 [ 3.21 %]\n", + "Output : 0.127612 [ 21.80 %]\n", + "Levels : 9.6575e-05 [ 0.02 %]\n", + "Report : 6.29e-07 [ 0.00 %]\n", + "Balance : 4.36e-07 [ 0.00 %]\n", + "Adjust : 0.343232 [ 58.62 %]\n", + "Total : 0.585485 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23128 1500 316 37 13 2 4 \n", + "1 : 23110 1525 306 38 9 5 7 \n", + "2 : 23144 1503 297 32 9 7 8 \n", + "3 : 23126 1530 294 36 5 6 3 \n", + "\n", + "T : 92508 6058 1213 143 36 20 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0437e-02 sec\n", + "--- Collate = 8.8840e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.898030e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.230324e-01 > 1.000000e-01 [71457]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71457/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=41.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00191245 [ 0.40 %]\n", + "Velocity : 0.00519327 [ 1.09 %]\n", + "Force : 0.104143 [ 21.87 %]\n", + "Coefs : 0.0280472 [ 5.89 %]\n", + "Output : 0.00174268 [ 0.37 %]\n", + "Levels : 8.5413e-05 [ 0.02 %]\n", + "Report : 2.19e-07 [ 0.00 %]\n", + "Balance : 8.3e-08 [ 0.00 %]\n", + "Adjust : 0.334935 [ 70.35 %]\n", + "Total : 0.476115 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23118 1514 312 36 11 6 3 \n", + "1 : 23107 1532 300 39 10 5 7 \n", + "2 : 23139 1509 299 31 9 5 8 \n", + "3 : 23121 1529 302 31 9 7 1 \n", + "\n", + "T : 92485 6084 1213 137 39 23 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0380e-02 sec\n", + "--- Collate = 9.2800e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.028989e-04 < 1.562500e-03 [7]\n", + "--- Max DT=3.230443e-01 > 1.000000e-01 [71455]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71455/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=41.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00143226 [ 0.31 %]\n", + "Velocity : 0.00385189 [ 0.83 %]\n", + "Force : 0.104209 [ 22.51 %]\n", + "Coefs : 0.0182814 [ 3.95 %]\n", + "Output : 0.00169896 [ 0.37 %]\n", + "Levels : 0.000109952 [ 0.02 %]\n", + "Report : 2.04e-07 [ 0.00 %]\n", + "Balance : 9.7e-08 [ 0.00 %]\n", + "Adjust : 0.333404 [ 72.00 %]\n", + "Total : 0.463041 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23114 1521 305 40 11 4 5 \n", + "1 : 23099 1537 301 39 13 3 8 \n", + "2 : 23134 1508 304 31 10 7 6 \n", + "3 : 23118 1531 304 31 10 4 2 \n", + "\n", + "T : 92465 6097 1214 141 44 18 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0362e-02 sec\n", + "--- Collate = 9.6940e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.586548e-04 < 1.562500e-03 [12]\n", + "--- Max DT=3.230512e-01 > 1.000000e-01 [71454]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71454/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=41.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0015416 [ 0.34 %]\n", + "Velocity : 0.00373189 [ 0.82 %]\n", + "Force : 0.101917 [ 22.35 %]\n", + "Coefs : 0.0259519 [ 5.69 %]\n", + "Output : 0.00162676 [ 0.36 %]\n", + "Levels : 8.8415e-05 [ 0.02 %]\n", + "Report : 2.13e-07 [ 0.00 %]\n", + "Balance : 3.64e-07 [ 0.00 %]\n", + "Adjust : 0.321166 [ 70.42 %]\n", + "Total : 0.456077 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23107 1530 301 43 10 4 5 \n", + "1 : 23101 1534 303 39 11 8 4 \n", + "2 : 23134 1508 304 30 11 8 5 \n", + "3 : 23114 1535 306 29 9 2 5 \n", + "\n", + "T : 92456 6107 1214 141 41 22 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0606e-02 sec\n", + "--- Collate = 1.0229e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.530264e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.230534e-01 > 1.000000e-01 [71451]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71451/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=41.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00165868 [ 0.33 %]\n", + "Velocity : 0.00383598 [ 0.75 %]\n", + "Force : 0.115569 [ 22.65 %]\n", + "Coefs : 0.0254977 [ 5.00 %]\n", + "Output : 0.00190857 [ 0.37 %]\n", + "Levels : 7.9616e-05 [ 0.02 %]\n", + "Report : 1.58e-07 [ 0.00 %]\n", + "Balance : 1.06e-06 [ 0.00 %]\n", + "Adjust : 0.361596 [ 70.87 %]\n", + "Total : 0.510204 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23100 1538 299 39 12 5 7 \n", + "1 : 23106 1527 308 35 9 8 7 \n", + "2 : 23137 1508 301 32 13 3 6 \n", + "3 : 23113 1538 301 29 10 3 6 \n", + "\n", + "T : 92456 6111 1209 135 44 19 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0345e-02 sec\n", + "--- Collate = 1.0075e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.337564e-05 < 1.562500e-03 [17]\n", + "--- Max DT=3.230509e-01 > 1.000000e-01 [71449]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71449/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=41.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00157009 [ 0.32 %]\n", + "Velocity : 0.00380895 [ 0.77 %]\n", + "Force : 0.112103 [ 22.77 %]\n", + "Coefs : 0.0259585 [ 5.27 %]\n", + "Output : 0.00162962 [ 0.33 %]\n", + "Levels : 9.1508e-05 [ 0.02 %]\n", + "Report : 1.48e-07 [ 0.00 %]\n", + "Balance : 8.8e-08 [ 0.00 %]\n", + "Adjust : 0.347101 [ 70.50 %]\n", + "Total : 0.492316 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23101 1533 306 33 13 8 6 \n", + "1 : 23112 1520 313 29 11 7 8 \n", + "2 : 23137 1509 306 28 11 3 6 \n", + "3 : 23107 1540 304 26 10 8 5 \n", + "\n", + "T : 92457 6102 1229 116 45 26 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0469e-02 sec\n", + "--- Collate = 9.4980e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.711125e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.230439e-01 > 1.000000e-01 [71450]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71450/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=41.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.001581 [ 0.33 %]\n", + "Velocity : 0.00367285 [ 0.77 %]\n", + "Force : 0.107426 [ 22.53 %]\n", + "Coefs : 0.0181533 [ 3.81 %]\n", + "Output : 0.0016194 [ 0.34 %]\n", + "Levels : 8.7628e-05 [ 0.02 %]\n", + "Report : 1.6e-07 [ 0.00 %]\n", + "Balance : 1.08e-07 [ 0.00 %]\n", + "Adjust : 0.344282 [ 72.20 %]\n", + "Total : 0.476875 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23101 1534 305 32 12 8 8 \n", + "1 : 23112 1521 308 32 11 6 10 \n", + "2 : 23135 1511 305 26 13 3 7 \n", + "3 : 23103 1542 302 27 13 9 4 \n", + "\n", + "T : 92451 6108 1220 117 49 26 29 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0301e-02 sec\n", + "--- Collate = 9.5680e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.770399e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.230327e-01 > 1.000000e-01 [71457]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71457/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=41.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00151165 [ 0.34 %]\n", + "Velocity : 0.00358827 [ 0.80 %]\n", + "Force : 0.0878066 [ 19.62 %]\n", + "Coefs : 0.0175498 [ 3.92 %]\n", + "Output : 0.00168492 [ 0.38 %]\n", + "Levels : 7.6937e-05 [ 0.02 %]\n", + "Report : 1.51e-07 [ 0.00 %]\n", + "Balance : 1.39e-07 [ 0.00 %]\n", + "Adjust : 0.335213 [ 74.91 %]\n", + "Total : 0.447483 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23101 1524 315 31 14 6 9 \n", + "1 : 23114 1524 305 32 8 9 8 \n", + "2 : 23139 1505 304 30 11 7 4 \n", + "3 : 23102 1542 304 29 12 4 7 \n", + "\n", + "T : 92456 6095 1228 122 45 26 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.8984e-02 sec\n", + "--- Collate = 1.3352e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.226745e-06 < 1.562500e-03 [13]\n", + "--- Max DT=3.230172e-01 > 1.000000e-01 [71459]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71459/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=41.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00203238 [ 0.40 %]\n", + "Velocity : 0.00442358 [ 0.87 %]\n", + "Force : 0.108915 [ 21.53 %]\n", + "Coefs : 0.0262528 [ 5.19 %]\n", + "Output : 0.00173481 [ 0.34 %]\n", + "Levels : 0.000113801 [ 0.02 %]\n", + "Report : 1.93e-07 [ 0.00 %]\n", + "Balance : 1.51e-07 [ 0.00 %]\n", + "Adjust : 0.362311 [ 71.63 %]\n", + "Total : 0.505839 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23098 1531 307 35 12 9 8 \n", + "1 : 23120 1516 303 36 9 8 8 \n", + "2 : 23142 1502 310 23 10 7 6 \n", + "3 : 23096 1550 297 33 13 3 8 \n", + "\n", + "T : 92456 6099 1217 127 44 27 30 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0578e-02 sec\n", + "--- Collate = 9.5750e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.688747e-06 < 1.562500e-03 [11]\n", + "--- Max DT=3.229974e-01 > 1.000000e-01 [71462]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71462/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=41.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00188015 [ 0.39 %]\n", + "Velocity : 0.00410232 [ 0.85 %]\n", + "Force : 0.106937 [ 22.22 %]\n", + "Coefs : 0.0277618 [ 5.77 %]\n", + "Output : 0.00187517 [ 0.39 %]\n", + "Levels : 8.8105e-05 [ 0.02 %]\n", + "Report : 1.64e-07 [ 0.00 %]\n", + "Balance : 1.03e-07 [ 0.00 %]\n", + "Adjust : 0.33863 [ 70.35 %]\n", + "Total : 0.481329 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23099 1530 309 37 8 10 7 \n", + "1 : 23118 1520 300 39 10 9 4 \n", + "2 : 23147 1494 311 25 10 9 4 \n", + "3 : 23090 1559 294 33 8 6 10 \n", + "\n", + "T : 92454 6103 1214 134 36 34 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0160e-02 sec\n", + "--- Collate = 9.6340e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.858258e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.229733e-01 > 1.000000e-01 [71468]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71468/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=42] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00153956 [ 0.27 %]\n", + "Velocity : 0.00370402 [ 0.65 %]\n", + "Force : 0.0965715 [ 17.03 %]\n", + "Coefs : 0.0174852 [ 3.08 %]\n", + "Output : 0.109772 [ 19.36 %]\n", + "Levels : 8.2381e-05 [ 0.01 %]\n", + "Report : 5.16e-07 [ 0.00 %]\n", + "Balance : 2.5e-07 [ 0.00 %]\n", + "Adjust : 0.337698 [ 59.57 %]\n", + "Total : 0.566904 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23101 1527 305 41 11 8 7 \n", + "1 : 23118 1516 306 36 14 6 4 \n", + "2 : 23148 1492 311 28 8 5 8 \n", + "3 : 23089 1557 297 34 7 6 10 \n", + "\n", + "T : 92456 6092 1219 139 40 25 29 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0771e-02 sec\n", + "--- Collate = 1.2320e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.709947e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.229451e-01 > 1.000000e-01 [71468]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71468/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=42.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00198702 [ 0.37 %]\n", + "Velocity : 0.00374287 [ 0.69 %]\n", + "Force : 0.117118 [ 21.71 %]\n", + "Coefs : 0.0311921 [ 5.78 %]\n", + "Output : 0.00178422 [ 0.33 %]\n", + "Levels : 9.614e-05 [ 0.02 %]\n", + "Report : 1.85e-07 [ 0.00 %]\n", + "Balance : 1.27e-07 [ 0.00 %]\n", + "Adjust : 0.383492 [ 71.09 %]\n", + "Total : 0.539471 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23102 1528 305 38 16 4 7 \n", + "1 : 23124 1512 300 38 16 7 3 \n", + "2 : 23141 1497 315 26 8 6 7 \n", + "3 : 23091 1554 299 35 7 4 10 \n", + "\n", + "T : 92458 6091 1219 137 47 21 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0707e-02 sec\n", + "--- Collate = 9.7590e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.949880e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.229126e-01 > 1.000000e-01 [71463]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71463/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=42.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00154046 [ 0.34 %]\n", + "Velocity : 0.00385617 [ 0.86 %]\n", + "Force : 0.0912252 [ 20.33 %]\n", + "Coefs : 0.0247256 [ 5.51 %]\n", + "Output : 0.00179394 [ 0.40 %]\n", + "Levels : 0.00011659 [ 0.03 %]\n", + "Report : 1.65e-07 [ 0.00 %]\n", + "Balance : 9e-08 [ 0.00 %]\n", + "Adjust : 0.32547 [ 72.52 %]\n", + "Total : 0.448779 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23101 1526 309 38 12 7 7 \n", + "1 : 23115 1523 297 36 19 7 3 \n", + "2 : 23142 1492 317 27 8 9 5 \n", + "3 : 23092 1549 302 33 11 5 8 \n", + "\n", + "T : 92450 6090 1225 134 50 28 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0794e-02 sec\n", + "--- Collate = 1.0491e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.043869e-04 < 1.562500e-03 [11]\n", + "--- Max DT=3.228758e-01 > 1.000000e-01 [71470]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71470/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=42.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00155953 [ 0.34 %]\n", + "Velocity : 0.00374762 [ 0.83 %]\n", + "Force : 0.0900254 [ 19.83 %]\n", + "Coefs : 0.017758 [ 3.91 %]\n", + "Output : 0.00168975 [ 0.37 %]\n", + "Levels : 0.000108361 [ 0.02 %]\n", + "Report : 1.5e-07 [ 0.00 %]\n", + "Balance : 1.04e-07 [ 0.00 %]\n", + "Adjust : 0.339093 [ 74.68 %]\n", + "Total : 0.454036 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23114 1513 305 41 14 8 5 \n", + "1 : 23111 1527 297 36 17 7 5 \n", + "2 : 23129 1508 313 30 9 8 3 \n", + "3 : 23084 1555 301 33 15 7 5 \n", + "\n", + "T : 92438 6103 1216 140 55 30 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0629e-02 sec\n", + "--- Collate = 8.8850e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.355463e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.228344e-01 > 1.000000e-01 [71485]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71485/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=42.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00169323 [ 0.36 %]\n", + "Velocity : 0.00379964 [ 0.81 %]\n", + "Force : 0.105953 [ 22.60 %]\n", + "Coefs : 0.0265787 [ 5.67 %]\n", + "Output : 0.0016213 [ 0.35 %]\n", + "Levels : 8.4424e-05 [ 0.02 %]\n", + "Report : 1.56e-07 [ 0.00 %]\n", + "Balance : 7.5e-08 [ 0.00 %]\n", + "Adjust : 0.328969 [ 70.18 %]\n", + "Total : 0.468756 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23114 1515 307 35 15 9 5 \n", + "1 : 23108 1526 300 35 13 9 9 \n", + "2 : 23126 1511 314 31 8 5 5 \n", + "3 : 23076 1563 299 37 14 7 4 \n", + "\n", + "T : 92424 6115 1220 138 50 30 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.1666e-02 sec\n", + "--- Collate = 9.5280e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.474241e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.227886e-01 > 1.000000e-01 [71483]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71483/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=42.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00148418 [ 0.33 %]\n", + "Velocity : 0.00374085 [ 0.83 %]\n", + "Force : 0.0862048 [ 19.09 %]\n", + "Coefs : 0.0174967 [ 3.87 %]\n", + "Output : 0.00163435 [ 0.36 %]\n", + "Levels : 8.0793e-05 [ 0.02 %]\n", + "Report : 2.16e-07 [ 0.00 %]\n", + "Balance : 9.8e-08 [ 0.00 %]\n", + "Adjust : 0.340845 [ 75.48 %]\n", + "Total : 0.451542 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23117 1512 304 43 10 8 6 \n", + "1 : 23106 1530 301 30 12 11 10 \n", + "2 : 23124 1513 311 31 10 5 6 \n", + "3 : 23075 1564 302 31 16 6 6 \n", + "\n", + "T : 92422 6119 1218 135 48 30 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0557e-02 sec\n", + "--- Collate = 8.8340e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.020047e-05 < 1.562500e-03 [18]\n", + "--- Max DT=3.227382e-01 > 1.000000e-01 [71495]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 71495/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=42.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00145585 [ 0.31 %]\n", + "Velocity : 0.00395364 [ 0.85 %]\n", + "Force : 0.0901542 [ 19.33 %]\n", + "Coefs : 0.019303 [ 4.14 %]\n", + "Output : 0.0017422 [ 0.37 %]\n", + "Levels : 8.6364e-05 [ 0.02 %]\n", + "Report : 1.51e-07 [ 0.00 %]\n", + "Balance : 8.2e-08 [ 0.00 %]\n", + "Adjust : 0.349643 [ 74.97 %]\n", + "Total : 0.466396 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23115 1514 301 42 12 8 8 \n", + "1 : 23110 1531 293 32 13 8 13 \n", + "2 : 23115 1526 305 31 12 6 5 \n", + "3 : 23080 1555 306 30 16 8 5 \n", + "\n", + "T : 92420 6126 1205 135 53 30 31 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0506e-02 sec\n", + "--- Collate = 9.8650e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.021923e-06 < 1.562500e-03 [19]\n", + "--- Max DT=3.226832e-01 > 1.000000e-01 [71499]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 71499/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=42.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00152726 [ 0.32 %]\n", + "Velocity : 0.00375686 [ 0.79 %]\n", + "Force : 0.0964981 [ 20.33 %]\n", + "Coefs : 0.0177855 [ 3.75 %]\n", + "Output : 0.00166393 [ 0.35 %]\n", + "Levels : 9.6402e-05 [ 0.02 %]\n", + "Report : 1.58e-07 [ 0.00 %]\n", + "Balance : 9.1e-08 [ 0.00 %]\n", + "Adjust : 0.353352 [ 74.43 %]\n", + "Total : 0.474735 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23113 1525 296 36 13 7 10 \n", + "1 : 23106 1535 289 38 9 10 13 \n", + "2 : 23114 1522 309 32 13 6 4 \n", + "3 : 23079 1557 306 34 11 6 7 \n", + "\n", + "T : 92412 6139 1200 140 46 29 34 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9049e-02 sec\n", + "--- Collate = 1.1593e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.069931e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.226238e-01 > 1.000000e-01 [71491]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71491/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=42.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00158961 [ 0.32 %]\n", + "Velocity : 0.00385505 [ 0.77 %]\n", + "Force : 0.108016 [ 21.71 %]\n", + "Coefs : 0.0184437 [ 3.71 %]\n", + "Output : 0.00169805 [ 0.34 %]\n", + "Levels : 8.6177e-05 [ 0.02 %]\n", + "Report : 1.64e-07 [ 0.00 %]\n", + "Balance : 9.7e-08 [ 0.00 %]\n", + "Adjust : 0.363741 [ 73.12 %]\n", + "Total : 0.497484 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23114 1527 288 41 9 10 11 \n", + "1 : 23114 1527 291 35 13 9 11 \n", + "2 : 23112 1526 307 31 15 3 6 \n", + "3 : 23074 1560 306 39 10 5 6 \n", + "\n", + "T : 92414 6140 1192 146 47 27 34 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0138e-02 sec\n", + "--- Collate = 9.7670e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.990978e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.225601e-01 > 1.000000e-01 [71475]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71475/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=42.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00168871 [ 0.36 %]\n", + "Velocity : 0.00409295 [ 0.88 %]\n", + "Force : 0.103707 [ 22.28 %]\n", + "Coefs : 0.0182305 [ 3.92 %]\n", + "Output : 0.00172763 [ 0.37 %]\n", + "Levels : 8.1948e-05 [ 0.02 %]\n", + "Report : 1.67e-07 [ 0.00 %]\n", + "Balance : 1.17e-07 [ 0.00 %]\n", + "Adjust : 0.33584 [ 72.16 %]\n", + "Total : 0.465422 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23113 1531 284 40 12 13 7 \n", + "1 : 23109 1534 288 37 14 10 8 \n", + "2 : 23104 1540 305 28 12 5 6 \n", + "3 : 23074 1556 310 38 7 8 7 \n", + "\n", + "T : 92400 6161 1187 143 45 36 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0511e-02 sec\n", + "--- Collate = 1.0188e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.099869e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.224921e-01 > 1.000000e-01 [71473]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71473/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=43] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00176778 [ 0.34 %]\n", + "Velocity : 0.00395359 [ 0.76 %]\n", + "Force : 0.101697 [ 19.63 %]\n", + "Coefs : 0.0178386 [ 3.44 %]\n", + "Output : 0.0695939 [ 13.44 %]\n", + "Levels : 8.8702e-05 [ 0.02 %]\n", + "Report : 4.04e-07 [ 0.00 %]\n", + "Balance : 2.91e-07 [ 0.00 %]\n", + "Adjust : 0.322999 [ 62.36 %]\n", + "Total : 0.51799 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23105 1541 287 34 15 8 10 \n", + "1 : 23108 1530 294 35 17 9 7 \n", + "2 : 23098 1549 301 29 12 4 7 \n", + "3 : 23074 1552 316 35 9 6 8 \n", + "\n", + "T : 92385 6172 1198 133 53 27 32 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.9816e-02 sec\n", + "--- Collate = 1.1206e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.225351e-05 < 1.562500e-03 [17]\n", + "--- Max DT=3.224200e-01 > 1.000000e-01 [71469]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71469/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=43.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00140847 [ 0.25 %]\n", + "Velocity : 0.0116354 [ 2.06 %]\n", + "Force : 0.113824 [ 20.13 %]\n", + "Coefs : 0.0602603 [ 10.66 %]\n", + "Output : 0.00164684 [ 0.29 %]\n", + "Levels : 9.4713e-05 [ 0.02 %]\n", + "Report : 4.78e-07 [ 0.00 %]\n", + "Balance : 1.37e-07 [ 0.00 %]\n", + "Adjust : 0.376503 [ 66.59 %]\n", + "Total : 0.565428 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23105 1542 283 35 19 7 9 \n", + "1 : 23105 1530 295 39 19 5 7 \n", + "2 : 23093 1553 301 31 9 7 6 \n", + "3 : 23072 1553 316 34 12 5 8 \n", + "\n", + "T : 92375 6178 1195 139 59 24 30 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0575e-02 sec\n", + "--- Collate = 1.0068e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.001200e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.223437e-01 > 1.000000e-01 [71464]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71464/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=43.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0015682 [ 0.33 %]\n", + "Velocity : 0.00392005 [ 0.82 %]\n", + "Force : 0.107374 [ 22.50 %]\n", + "Coefs : 0.0285526 [ 5.98 %]\n", + "Output : 0.00172604 [ 0.36 %]\n", + "Levels : 8.9829e-05 [ 0.02 %]\n", + "Report : 1.51e-07 [ 0.00 %]\n", + "Balance : 1.03e-07 [ 0.00 %]\n", + "Adjust : 0.333927 [ 69.97 %]\n", + "Total : 0.477214 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23103 1540 289 35 15 7 11 \n", + "1 : 23104 1533 291 41 18 8 5 \n", + "2 : 23087 1563 299 28 11 7 5 \n", + "3 : 23063 1564 318 32 8 7 8 \n", + "\n", + "T : 92357 6200 1197 136 52 29 29 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0685e-02 sec\n", + "--- Collate = 9.2470e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.226984e-04 < 1.562500e-03 [17]\n", + "--- Max DT=3.222634e-01 > 1.000000e-01 [71465]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71465/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=43.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00141919 [ 0.32 %]\n", + "Velocity : 0.00383625 [ 0.87 %]\n", + "Force : 0.0876027 [ 19.82 %]\n", + "Coefs : 0.0172533 [ 3.90 %]\n", + "Output : 0.00161642 [ 0.37 %]\n", + "Levels : 8.8988e-05 [ 0.02 %]\n", + "Report : 1.56e-07 [ 0.00 %]\n", + "Balance : 8.6e-08 [ 0.00 %]\n", + "Adjust : 0.330015 [ 74.68 %]\n", + "Total : 0.441885 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23101 1543 291 32 14 7 12 \n", + "1 : 23101 1536 294 38 18 6 7 \n", + "2 : 23084 1561 305 25 12 6 7 \n", + "3 : 23067 1560 314 36 12 4 7 \n", + "\n", + "T : 92353 6200 1204 131 56 23 33 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.3408e-02 sec\n", + "--- Collate = 9.9990e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.165930e-06 < 1.562500e-03 [21]\n", + "--- Max DT=3.221793e-01 > 1.000000e-01 [71477]\n", + "----------------------------------------------------------------------\n", + " Component | low: 21/100000\n", + " Component | high: 71477/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=43.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00166171 [ 0.35 %]\n", + "Velocity : 0.00379891 [ 0.80 %]\n", + "Force : 0.107445 [ 22.68 %]\n", + "Coefs : 0.0195642 [ 4.13 %]\n", + "Output : 0.0017691 [ 0.37 %]\n", + "Levels : 9.7032e-05 [ 0.02 %]\n", + "Report : 4.67e-07 [ 0.00 %]\n", + "Balance : 8.2e-08 [ 0.00 %]\n", + "Adjust : 0.339251 [ 71.63 %]\n", + "Total : 0.473646 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23102 1537 295 35 14 4 13 \n", + "1 : 23101 1537 291 42 15 4 10 \n", + "2 : 23089 1557 300 30 12 5 7 \n", + "3 : 23058 1571 312 34 13 7 5 \n", + "\n", + "T : 92350 6202 1198 141 54 20 35 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.3780e-02 sec\n", + "--- Collate = 1.1414e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.422982e-06 < 1.562500e-03 [18]\n", + "--- Max DT=3.220910e-01 > 1.000000e-01 [71468]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 71468/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=43.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00146163 [ 0.31 %]\n", + "Velocity : 0.00392532 [ 0.82 %]\n", + "Force : 0.0941294 [ 19.72 %]\n", + "Coefs : 0.0186153 [ 3.90 %]\n", + "Output : 0.00180648 [ 0.38 %]\n", + "Levels : 9.1975e-05 [ 0.02 %]\n", + "Report : 1.51e-07 [ 0.00 %]\n", + "Balance : 6.5e-08 [ 0.00 %]\n", + "Adjust : 0.357132 [ 74.84 %]\n", + "Total : 0.477217 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23096 1540 297 35 14 9 9 \n", + "1 : 23107 1528 296 41 12 8 8 \n", + "2 : 23083 1560 300 32 11 5 9 \n", + "3 : 23060 1571 314 31 13 7 4 \n", + "\n", + "T : 92346 6199 1207 139 50 29 30 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.2996e-02 sec\n", + "--- Collate = 1.0278e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.862355e-04 < 1.562500e-03 [12]\n", + "--- Max DT=3.219988e-01 > 1.000000e-01 [71463]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71463/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=43.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00166298 [ 0.33 %]\n", + "Velocity : 0.00408866 [ 0.81 %]\n", + "Force : 0.110689 [ 21.82 %]\n", + "Coefs : 0.0205748 [ 4.06 %]\n", + "Output : 0.00199847 [ 0.39 %]\n", + "Levels : 8.4833e-05 [ 0.02 %]\n", + "Report : 1.796e-06 [ 0.00 %]\n", + "Balance : 1.02e-07 [ 0.00 %]\n", + "Adjust : 0.368142 [ 72.57 %]\n", + "Total : 0.507299 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23096 1539 298 33 13 13 8 \n", + "1 : 23105 1528 296 42 10 11 8 \n", + "2 : 23081 1556 311 32 7 6 7 \n", + "3 : 23056 1577 312 31 10 8 6 \n", + "\n", + "T : 92338 6200 1217 138 40 38 29 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0376e-02 sec\n", + "--- Collate = 9.7120e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.229993e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.219024e-01 > 1.000000e-01 [71467]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71467/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=43.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00159221 [ 0.33 %]\n", + "Velocity : 0.00387989 [ 0.81 %]\n", + "Force : 0.108066 [ 22.68 %]\n", + "Coefs : 0.0233927 [ 4.91 %]\n", + "Output : 0.00167706 [ 0.35 %]\n", + "Levels : 0.000107796 [ 0.02 %]\n", + "Report : 2.24e-07 [ 0.00 %]\n", + "Balance : 1.19e-07 [ 0.00 %]\n", + "Adjust : 0.337659 [ 70.87 %]\n", + "Total : 0.476431 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23095 1537 298 39 15 6 10 \n", + "1 : 23100 1532 297 40 15 8 8 \n", + "2 : 23075 1562 310 32 6 6 9 \n", + "3 : 23052 1578 316 32 9 7 6 \n", + "\n", + "T : 92322 6209 1221 143 45 27 33 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1600e-02 sec\n", + "--- Collate = 1.1097e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.715312e-05 < 1.562500e-03 [28]\n", + "--- Max DT=3.218020e-01 > 1.000000e-01 [71460]\n", + "----------------------------------------------------------------------\n", + " Component | low: 28/100000\n", + " Component | high: 71460/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=43.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00148209 [ 0.31 %]\n", + "Velocity : 0.00391595 [ 0.81 %]\n", + "Force : 0.0941887 [ 19.54 %]\n", + "Coefs : 0.017669 [ 3.67 %]\n", + "Output : 0.00173295 [ 0.36 %]\n", + "Levels : 8.5342e-05 [ 0.02 %]\n", + "Report : 1.59e-07 [ 0.00 %]\n", + "Balance : 9.4e-08 [ 0.00 %]\n", + "Adjust : 0.362848 [ 75.28 %]\n", + "Total : 0.481975 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23092 1541 300 37 13 5 12 \n", + "1 : 23103 1526 292 48 15 5 11 \n", + "2 : 23074 1565 308 29 9 5 10 \n", + "3 : 23044 1590 312 36 4 7 7 \n", + "\n", + "T : 92313 6222 1212 150 41 22 40 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0109e-02 sec\n", + "--- Collate = 9.5280e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.189098e-06 < 1.562500e-03 [17]\n", + "--- Max DT=3.216974e-01 > 1.000000e-01 [71459]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71459/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=43.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00147918 [ 0.32 %]\n", + "Velocity : 0.00395788 [ 0.87 %]\n", + "Force : 0.0953271 [ 20.90 %]\n", + "Coefs : 0.017414 [ 3.82 %]\n", + "Output : 0.00170972 [ 0.37 %]\n", + "Levels : 7.5046e-05 [ 0.02 %]\n", + "Report : 2.19e-07 [ 0.00 %]\n", + "Balance : 1.12e-07 [ 0.00 %]\n", + "Adjust : 0.33607 [ 73.69 %]\n", + "Total : 0.456087 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23092 1537 305 39 9 9 9 \n", + "1 : 23099 1528 297 46 17 5 8 \n", + "2 : 23077 1559 308 30 11 4 11 \n", + "3 : 23043 1590 309 41 7 4 6 \n", + "\n", + "T : 92311 6214 1219 156 44 22 34 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0343e-02 sec\n", + "--- Collate = 1.7590e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.063102e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.215888e-01 > 1.000000e-01 [71471]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71471/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=44] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0017112 [ 0.30 %]\n", + "Velocity : 0.00381681 [ 0.67 %]\n", + "Force : 0.102039 [ 18.01 %]\n", + "Coefs : 0.0177412 [ 3.13 %]\n", + "Output : 0.0974464 [ 17.20 %]\n", + "Levels : 8.7021e-05 [ 0.02 %]\n", + "Report : 5.26e-07 [ 0.00 %]\n", + "Balance : 7.21e-07 [ 0.00 %]\n", + "Adjust : 0.343562 [ 60.65 %]\n", + "Total : 0.566457 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23089 1540 302 43 8 10 8 \n", + "1 : 23093 1530 301 43 19 7 7 \n", + "2 : 23078 1558 309 29 13 7 6 \n", + "3 : 23044 1582 314 39 10 7 4 \n", + "\n", + "T : 92304 6210 1226 154 50 31 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9807e-02 sec\n", + "--- Collate = 1.4638e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.835350e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.214762e-01 > 1.000000e-01 [71470]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71470/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=44.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00174282 [ 0.31 %]\n", + "Velocity : 0.00531231 [ 0.95 %]\n", + "Force : 0.118428 [ 21.26 %]\n", + "Coefs : 0.0461578 [ 8.29 %]\n", + "Output : 0.00194995 [ 0.35 %]\n", + "Levels : 0.000130273 [ 0.02 %]\n", + "Report : 2.65e-07 [ 0.00 %]\n", + "Balance : 1.64e-07 [ 0.00 %]\n", + "Adjust : 0.383252 [ 68.80 %]\n", + "Total : 0.557035 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23094 1538 300 42 12 6 8 \n", + "1 : 23095 1523 305 45 19 8 5 \n", + "2 : 23078 1556 312 26 15 8 5 \n", + "3 : 23044 1588 307 39 14 4 4 \n", + "\n", + "T : 92311 6205 1224 152 60 26 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0316e-02 sec\n", + "--- Collate = 9.2650e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.422092e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.213595e-01 > 1.000000e-01 [71468]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71468/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=44.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00193628 [ 0.42 %]\n", + "Velocity : 0.00438326 [ 0.94 %]\n", + "Force : 0.0915772 [ 19.72 %]\n", + "Coefs : 0.0217252 [ 4.68 %]\n", + "Output : 0.00177049 [ 0.38 %]\n", + "Levels : 8.2341e-05 [ 0.02 %]\n", + "Report : 1.35e-07 [ 0.00 %]\n", + "Balance : 1.11e-07 [ 0.00 %]\n", + "Adjust : 0.342897 [ 73.83 %]\n", + "Total : 0.464429 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23090 1543 297 40 16 5 9 \n", + "1 : 23098 1522 305 41 19 9 6 \n", + "2 : 23079 1552 314 27 15 8 5 \n", + "3 : 23049 1583 310 30 19 6 3 \n", + "\n", + "T : 92316 6200 1226 138 69 28 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0149e-02 sec\n", + "--- Collate = 9.4380e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.251477e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.212388e-01 > 1.000000e-01 [71464]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71464/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=44.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00150881 [ 0.33 %]\n", + "Velocity : 0.00378305 [ 0.83 %]\n", + "Force : 0.0942728 [ 20.69 %]\n", + "Coefs : 0.0173494 [ 3.81 %]\n", + "Output : 0.0016962 [ 0.37 %]\n", + "Levels : 7.7672e-05 [ 0.02 %]\n", + "Report : 1.24e-07 [ 0.00 %]\n", + "Balance : 1.45e-07 [ 0.00 %]\n", + "Adjust : 0.336938 [ 73.94 %]\n", + "Total : 0.45568 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23092 1544 296 40 15 4 9 \n", + "1 : 23096 1525 309 39 13 11 7 \n", + "2 : 23077 1552 314 32 13 5 7 \n", + "3 : 23051 1581 309 34 13 5 7 \n", + "\n", + "T : 92316 6202 1228 145 54 25 30 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0195e-02 sec\n", + "--- Collate = 9.0840e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.635385e-05 < 1.562500e-03 [17]\n", + "--- Max DT=3.211142e-01 > 1.000000e-01 [71471]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71471/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=44.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00161437 [ 0.35 %]\n", + "Velocity : 0.00382803 [ 0.82 %]\n", + "Force : 0.0965988 [ 20.75 %]\n", + "Coefs : 0.0176907 [ 3.80 %]\n", + "Output : 0.00186015 [ 0.40 %]\n", + "Levels : 7.8486e-05 [ 0.02 %]\n", + "Report : 1.56e-07 [ 0.00 %]\n", + "Balance : 1.72e-07 [ 0.00 %]\n", + "Adjust : 0.343832 [ 73.85 %]\n", + "Total : 0.46556 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23093 1545 295 40 11 9 7 \n", + "1 : 23091 1534 302 39 17 6 11 \n", + "2 : 23076 1552 318 29 13 6 6 \n", + "3 : 23054 1580 305 37 10 7 7 \n", + "\n", + "T : 92314 6211 1220 145 51 28 31 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0409e-02 sec\n", + "--- Collate = 9.4330e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.455101e-05 < 1.562500e-03 [20]\n", + "--- Max DT=3.209856e-01 > 1.000000e-01 [71482]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 71482/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=44.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00146515 [ 0.32 %]\n", + "Velocity : 0.00359642 [ 0.78 %]\n", + "Force : 0.102803 [ 22.38 %]\n", + "Coefs : 0.0173717 [ 3.78 %]\n", + "Output : 0.00162644 [ 0.35 %]\n", + "Levels : 0.00010238 [ 0.02 %]\n", + "Report : 4.67e-07 [ 0.00 %]\n", + "Balance : 9.1e-08 [ 0.00 %]\n", + "Adjust : 0.332306 [ 72.35 %]\n", + "Total : 0.459325 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23093 1545 295 42 11 8 6 \n", + "1 : 23094 1532 300 39 12 11 12 \n", + "2 : 23075 1555 317 31 11 5 6 \n", + "3 : 23052 1585 300 38 9 6 10 \n", + "\n", + "T : 92314 6217 1212 150 43 30 34 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.3013e-02 sec\n", + "--- Collate = 9.9570e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.337189e-04 < 1.562500e-03 [11]\n", + "--- Max DT=3.208533e-01 > 1.000000e-01 [71481]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71481/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=44.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00150177 [ 0.33 %]\n", + "Velocity : 0.0041595 [ 0.91 %]\n", + "Force : 0.103161 [ 22.59 %]\n", + "Coefs : 0.0174142 [ 3.81 %]\n", + "Output : 0.00156507 [ 0.34 %]\n", + "Levels : 9.1856e-05 [ 0.02 %]\n", + "Report : 1.51e-07 [ 0.00 %]\n", + "Balance : 9.2e-08 [ 0.00 %]\n", + "Adjust : 0.328812 [ 71.99 %]\n", + "Total : 0.456759 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23095 1542 299 36 15 7 6 \n", + "1 : 23093 1534 303 38 12 7 13 \n", + "2 : 23074 1553 317 30 19 4 3 \n", + "3 : 23046 1591 302 34 9 8 10 \n", + "\n", + "T : 92308 6220 1221 138 55 26 32 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0403e-02 sec\n", + "--- Collate = 9.3480e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.183376e-05 < 1.562500e-03 [18]\n", + "--- Max DT=3.207171e-01 > 1.000000e-01 [71479]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 71479/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=44.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00193294 [ 0.41 %]\n", + "Velocity : 0.00380131 [ 0.80 %]\n", + "Force : 0.107965 [ 22.78 %]\n", + "Coefs : 0.0183656 [ 3.88 %]\n", + "Output : 0.0018814 [ 0.40 %]\n", + "Levels : 7.6014e-05 [ 0.02 %]\n", + "Report : 2.41e-07 [ 0.00 %]\n", + "Balance : 1.69e-07 [ 0.00 %]\n", + "Adjust : 0.339772 [ 71.70 %]\n", + "Total : 0.473849 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23095 1539 301 41 11 8 5 \n", + "1 : 23095 1533 301 38 17 7 9 \n", + "2 : 23074 1559 310 37 12 5 3 \n", + "3 : 23047 1595 296 34 10 8 10 \n", + "\n", + "T : 92311 6226 1208 150 50 28 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0333e-02 sec\n", + "--- Collate = 8.8760e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.910084e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.205773e-01 > 1.000000e-01 [71497]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71497/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=44.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00155849 [ 0.34 %]\n", + "Velocity : 0.0038275 [ 0.84 %]\n", + "Force : 0.090402 [ 19.76 %]\n", + "Coefs : 0.0177003 [ 3.87 %]\n", + "Output : 0.00160769 [ 0.35 %]\n", + "Levels : 8.9702e-05 [ 0.02 %]\n", + "Report : 1.65e-07 [ 0.00 %]\n", + "Balance : 1.36e-07 [ 0.00 %]\n", + "Adjust : 0.342329 [ 74.81 %]\n", + "Total : 0.45757 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23090 1547 300 37 15 5 6 \n", + "1 : 23094 1530 309 31 21 9 6 \n", + "2 : 23079 1554 312 37 9 6 3 \n", + "3 : 23039 1608 294 33 12 5 9 \n", + "\n", + "T : 92302 6239 1215 138 57 25 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1151e-02 sec\n", + "--- Collate = 9.0020e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.598871e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.204339e-01 > 1.000000e-01 [71492]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71492/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=44.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00159844 [ 0.34 %]\n", + "Velocity : 0.00404261 [ 0.86 %]\n", + "Force : 0.0915085 [ 19.37 %]\n", + "Coefs : 0.0176942 [ 3.75 %]\n", + "Output : 0.00162978 [ 0.34 %]\n", + "Levels : 8.542e-05 [ 0.02 %]\n", + "Report : 1.73e-07 [ 0.00 %]\n", + "Balance : 7.7e-08 [ 0.00 %]\n", + "Adjust : 0.355817 [ 75.32 %]\n", + "Total : 0.472432 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23087 1549 302 37 10 9 6 \n", + "1 : 23090 1535 308 36 17 11 3 \n", + "2 : 23076 1556 312 40 8 3 5 \n", + "3 : 23031 1613 296 32 11 10 7 \n", + "\n", + "T : 92284 6253 1218 145 46 33 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0335e-02 sec\n", + "--- Collate = 9.2720e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.009882e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.202868e-01 > 1.000000e-01 [71475]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71475/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=45] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00169004 [ 0.29 %]\n", + "Velocity : 0.00412864 [ 0.70 %]\n", + "Force : 0.100008 [ 17.06 %]\n", + "Coefs : 0.0181325 [ 3.09 %]\n", + "Output : 0.101478 [ 17.31 %]\n", + "Levels : 7.9726e-05 [ 0.01 %]\n", + "Report : 2.34e-07 [ 0.00 %]\n", + "Balance : 2.24e-07 [ 0.00 %]\n", + "Adjust : 0.360612 [ 61.52 %]\n", + "Total : 0.586185 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23082 1548 314 34 9 7 6 \n", + "1 : 23094 1531 309 39 10 13 4 \n", + "2 : 23075 1557 318 33 10 2 5 \n", + "3 : 23029 1616 296 33 13 8 5 \n", + "\n", + "T : 92280 6252 1237 139 42 30 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0024e-02 sec\n", + "--- Collate = 1.4020e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.714934e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.201362e-01 > 1.000000e-01 [71464]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71464/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=45.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00192006 [ 0.35 %]\n", + "Velocity : 0.00396625 [ 0.72 %]\n", + "Force : 0.115732 [ 20.92 %]\n", + "Coefs : 0.0464657 [ 8.40 %]\n", + "Output : 0.00189158 [ 0.34 %]\n", + "Levels : 0.000121687 [ 0.02 %]\n", + "Report : 1.99e-07 [ 0.00 %]\n", + "Balance : 1.55e-07 [ 0.00 %]\n", + "Adjust : 0.383064 [ 69.24 %]\n", + "Total : 0.553218 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23077 1557 312 30 11 5 8 \n", + "1 : 23089 1541 303 36 17 4 10 \n", + "2 : 23065 1573 312 31 11 2 6 \n", + "3 : 23028 1616 300 34 10 5 7 \n", + "\n", + "T : 92259 6287 1227 131 49 16 31 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.1020e-02 sec\n", + "--- Collate = 9.4870e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.209949e-05 < 1.562500e-03 [20]\n", + "--- Max DT=3.199819e-01 > 1.000000e-01 [71471]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 71471/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=45.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00183984 [ 0.38 %]\n", + "Velocity : 0.00429866 [ 0.90 %]\n", + "Force : 0.107467 [ 22.40 %]\n", + "Coefs : 0.024086 [ 5.02 %]\n", + "Output : 0.00172603 [ 0.36 %]\n", + "Levels : 0.000102867 [ 0.02 %]\n", + "Report : 1.48e-07 [ 0.00 %]\n", + "Balance : 1.11e-07 [ 0.00 %]\n", + "Adjust : 0.340124 [ 70.90 %]\n", + "Total : 0.4797 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23077 1558 308 31 9 8 9 \n", + "1 : 23086 1547 300 40 14 3 10 \n", + "2 : 23063 1578 311 24 13 5 6 \n", + "3 : 23022 1624 297 38 8 4 7 \n", + "\n", + "T : 92248 6307 1216 133 44 20 32 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0153e-02 sec\n", + "--- Collate = 1.0251e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.632336e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.198238e-01 > 1.000000e-01 [71469]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71469/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=45.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00153696 [ 0.34 %]\n", + "Velocity : 0.00388628 [ 0.85 %]\n", + "Force : 0.0896869 [ 19.71 %]\n", + "Coefs : 0.0175624 [ 3.86 %]\n", + "Output : 0.00162408 [ 0.36 %]\n", + "Levels : 8.9742e-05 [ 0.02 %]\n", + "Report : 1.52e-07 [ 0.00 %]\n", + "Balance : 8.4e-08 [ 0.00 %]\n", + "Adjust : 0.340639 [ 74.85 %]\n", + "Total : 0.455079 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23077 1556 314 30 8 8 7 \n", + "1 : 23086 1552 294 43 11 3 11 \n", + "2 : 23056 1580 316 24 12 5 7 \n", + "3 : 23022 1620 297 43 10 2 6 \n", + "\n", + "T : 92241 6308 1221 140 41 18 31 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0480e-02 sec\n", + "--- Collate = 9.0660e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.223170e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.196619e-01 > 1.000000e-01 [71457]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71457/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=45.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00145895 [ 0.32 %]\n", + "Velocity : 0.00376945 [ 0.82 %]\n", + "Force : 0.0896517 [ 19.42 %]\n", + "Coefs : 0.0173353 [ 3.75 %]\n", + "Output : 0.00168639 [ 0.37 %]\n", + "Levels : 9.2267e-05 [ 0.02 %]\n", + "Report : 1.16e-07 [ 0.00 %]\n", + "Balance : 8.5e-08 [ 0.00 %]\n", + "Adjust : 0.347695 [ 75.30 %]\n", + "Total : 0.461741 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23070 1561 324 23 8 6 8 \n", + "1 : 23081 1557 297 38 12 9 6 \n", + "2 : 23072 1561 318 26 10 8 5 \n", + "3 : 23023 1615 303 38 10 6 5 \n", + "\n", + "T : 92246 6294 1242 125 40 29 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0897e-02 sec\n", + "--- Collate = 9.8960e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.549334e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.194963e-01 > 1.000000e-01 [71450]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71450/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=45.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00162188 [ 0.35 %]\n", + "Velocity : 0.00405168 [ 0.87 %]\n", + "Force : 0.0905832 [ 19.55 %]\n", + "Coefs : 0.0172909 [ 3.73 %]\n", + "Output : 0.0017203 [ 0.37 %]\n", + "Levels : 9.0758e-05 [ 0.02 %]\n", + "Report : 6.4e-08 [ 0.00 %]\n", + "Balance : 8.5e-08 [ 0.00 %]\n", + "Adjust : 0.347918 [ 75.09 %]\n", + "Total : 0.463331 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23065 1568 320 27 11 4 5 \n", + "1 : 23081 1556 298 37 14 7 7 \n", + "2 : 23076 1558 320 22 12 7 5 \n", + "3 : 23021 1620 304 32 15 3 5 \n", + "\n", + "T : 92243 6302 1242 118 52 21 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.2117e-02 sec\n", + "--- Collate = 1.1147e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.307463e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.193270e-01 > 1.000000e-01 [71445]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71445/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=45.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00158885 [ 0.34 %]\n", + "Velocity : 0.00367387 [ 0.78 %]\n", + "Force : 0.0948026 [ 20.09 %]\n", + "Coefs : 0.0175167 [ 3.71 %]\n", + "Output : 0.00179182 [ 0.38 %]\n", + "Levels : 9.707e-05 [ 0.02 %]\n", + "Report : 1.77e-07 [ 0.00 %]\n", + "Balance : 1.08e-07 [ 0.00 %]\n", + "Adjust : 0.352394 [ 74.67 %]\n", + "Total : 0.471925 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23065 1570 318 32 6 5 4 \n", + "1 : 23081 1562 295 35 13 9 5 \n", + "2 : 23079 1554 314 29 10 9 5 \n", + "3 : 23029 1611 305 33 13 3 6 \n", + "\n", + "T : 92254 6297 1232 129 42 26 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.8403e-02 sec\n", + "--- Collate = 9.8850e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.242686e-04 < 1.562500e-03 [15]\n", + "--- Max DT=3.191543e-01 > 1.000000e-01 [71437]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71437/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=45.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00165325 [ 0.33 %]\n", + "Velocity : 0.00412832 [ 0.82 %]\n", + "Force : 0.110101 [ 21.81 %]\n", + "Coefs : 0.0180426 [ 3.57 %]\n", + "Output : 0.00185725 [ 0.37 %]\n", + "Levels : 9.5265e-05 [ 0.02 %]\n", + "Report : 1.61e-07 [ 0.00 %]\n", + "Balance : 9.2e-08 [ 0.00 %]\n", + "Adjust : 0.368793 [ 73.07 %]\n", + "Total : 0.504729 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23069 1564 318 34 6 5 4 \n", + "1 : 23081 1564 293 36 9 6 11 \n", + "2 : 23076 1558 312 31 9 5 9 \n", + "3 : 23018 1627 299 36 10 6 4 \n", + "\n", + "T : 92244 6313 1222 137 34 22 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.1368e-02 sec\n", + "--- Collate = 9.1650e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.208718e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.189783e-01 > 1.000000e-01 [71428]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71428/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=45.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00156106 [ 0.32 %]\n", + "Velocity : 0.00383887 [ 0.80 %]\n", + "Force : 0.107366 [ 22.27 %]\n", + "Coefs : 0.0223641 [ 4.64 %]\n", + "Output : 0.00162552 [ 0.34 %]\n", + "Levels : 0.000103893 [ 0.02 %]\n", + "Report : 1.42e-07 [ 0.00 %]\n", + "Balance : 8.4e-08 [ 0.00 %]\n", + "Adjust : 0.345113 [ 71.60 %]\n", + "Total : 0.482025 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23068 1563 319 35 10 2 3 \n", + "1 : 23080 1561 297 38 9 3 12 \n", + "2 : 23074 1558 316 29 9 6 8 \n", + "3 : 23019 1628 297 37 10 5 4 \n", + "\n", + "T : 92241 6310 1229 139 38 16 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0003e-02 sec\n", + "--- Collate = 8.8080e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.276502e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.187988e-01 > 1.000000e-01 [71437]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71437/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=45.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00153222 [ 0.33 %]\n", + "Velocity : 0.00366808 [ 0.78 %]\n", + "Force : 0.096657 [ 20.62 %]\n", + "Coefs : 0.019271 [ 4.11 %]\n", + "Output : 0.00169359 [ 0.36 %]\n", + "Levels : 9.0588e-05 [ 0.02 %]\n", + "Report : 1.61e-07 [ 0.00 %]\n", + "Balance : 1.38e-07 [ 0.00 %]\n", + "Adjust : 0.345733 [ 73.76 %]\n", + "Total : 0.468701 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23070 1566 314 36 9 3 2 \n", + "1 : 23084 1556 299 37 10 4 10 \n", + "2 : 23080 1549 320 29 11 1 10 \n", + "3 : 23020 1630 289 39 13 6 3 \n", + "\n", + "T : 92254 6301 1222 141 43 14 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0821e-02 sec\n", + "--- Collate = 9.9610e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.321060e-05 < 1.562500e-03 [6]\n", + "--- Max DT=3.186156e-01 > 1.000000e-01 [71443]\n", + "----------------------------------------------------------------------\n", + " Component | low: 6/100000\n", + " Component | high: 71443/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=46] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00156482 [ 0.27 %]\n", + "Velocity : 0.00393135 [ 0.67 %]\n", + "Force : 0.0956829 [ 16.30 %]\n", + "Coefs : 0.0172018 [ 2.93 %]\n", + "Output : 0.108276 [ 18.44 %]\n", + "Levels : 8.3297e-05 [ 0.01 %]\n", + "Report : 2.47e-07 [ 0.00 %]\n", + "Balance : 2.7e-07 [ 0.00 %]\n", + "Adjust : 0.360356 [ 61.37 %]\n", + "Total : 0.58715 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23069 1564 315 37 7 7 1 \n", + "1 : 23073 1567 299 36 11 10 4 \n", + "2 : 23084 1549 311 35 11 5 5 \n", + "3 : 23014 1637 287 39 13 5 5 \n", + "\n", + "T : 92240 6317 1212 147 42 27 15 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0108e-02 sec\n", + "--- Collate = 8.8660e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.734194e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.184291e-01 > 1.000000e-01 [71435]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71435/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=46.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00178545 [ 0.35 %]\n", + "Velocity : 0.00418059 [ 0.82 %]\n", + "Force : 0.109217 [ 21.39 %]\n", + "Coefs : 0.0441681 [ 8.65 %]\n", + "Output : 0.00182558 [ 0.36 %]\n", + "Levels : 8.2185e-05 [ 0.02 %]\n", + "Report : 2.18e-07 [ 0.00 %]\n", + "Balance : 1.29e-07 [ 0.00 %]\n", + "Adjust : 0.349243 [ 68.40 %]\n", + "Total : 0.510562 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23069 1564 312 41 6 5 3 \n", + "1 : 23070 1570 301 33 13 10 3 \n", + "2 : 23081 1546 316 34 12 9 2 \n", + "3 : 23018 1631 287 42 11 4 7 \n", + "\n", + "T : 92238 6311 1216 150 42 28 15 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0505e-02 sec\n", + "--- Collate = 9.8920e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.574969e-04 < 1.562500e-03 [11]\n", + "--- Max DT=3.182390e-01 > 1.000000e-01 [71430]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71430/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=46.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00169496 [ 0.36 %]\n", + "Velocity : 0.00369619 [ 0.79 %]\n", + "Force : 0.105631 [ 22.68 %]\n", + "Coefs : 0.0177523 [ 3.81 %]\n", + "Output : 0.00174414 [ 0.37 %]\n", + "Levels : 8.3085e-05 [ 0.02 %]\n", + "Report : 2.13e-07 [ 0.00 %]\n", + "Balance : 8.3e-08 [ 0.00 %]\n", + "Adjust : 0.335163 [ 71.95 %]\n", + "Total : 0.46582 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23069 1565 309 43 8 1 5 \n", + "1 : 23068 1576 300 30 19 3 4 \n", + "2 : 23083 1541 319 36 10 9 2 \n", + "3 : 23023 1625 290 42 9 5 6 \n", + "\n", + "T : 92243 6307 1218 151 46 18 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0315e-02 sec\n", + "--- Collate = 9.1960e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.338956e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.180455e-01 > 1.000000e-01 [71438]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71438/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=46.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00170344 [ 0.36 %]\n", + "Velocity : 0.00379929 [ 0.81 %]\n", + "Force : 0.106274 [ 22.64 %]\n", + "Coefs : 0.0240603 [ 5.13 %]\n", + "Output : 0.00169957 [ 0.36 %]\n", + "Levels : 9.4057e-05 [ 0.02 %]\n", + "Report : 1.67e-07 [ 0.00 %]\n", + "Balance : 1.22e-07 [ 0.00 %]\n", + "Adjust : 0.331773 [ 70.67 %]\n", + "Total : 0.46946 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23071 1561 312 43 6 3 4 \n", + "1 : 23072 1569 304 30 17 1 7 \n", + "2 : 23083 1544 314 40 8 4 7 \n", + "3 : 23027 1623 290 38 12 6 4 \n", + "\n", + "T : 92253 6297 1220 151 43 14 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0138e-02 sec\n", + "--- Collate = 9.0200e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.976451e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.178484e-01 > 1.000000e-01 [71425]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71425/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=46.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00156368 [ 0.34 %]\n", + "Velocity : 0.00367692 [ 0.79 %]\n", + "Force : 0.091467 [ 19.76 %]\n", + "Coefs : 0.0175758 [ 3.80 %]\n", + "Output : 0.00174651 [ 0.38 %]\n", + "Levels : 8.0298e-05 [ 0.02 %]\n", + "Report : 1.53e-07 [ 0.00 %]\n", + "Balance : 1.08e-07 [ 0.00 %]\n", + "Adjust : 0.346723 [ 74.90 %]\n", + "Total : 0.462888 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23069 1559 318 41 6 4 3 \n", + "1 : 23079 1561 305 37 11 2 5 \n", + "2 : 23085 1545 311 38 8 4 9 \n", + "3 : 23030 1623 283 44 10 7 3 \n", + "\n", + "T : 92263 6288 1217 160 35 17 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0351e-02 sec\n", + "--- Collate = 8.8820e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.574196e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.176479e-01 > 1.000000e-01 [71436]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71436/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=46.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00153533 [ 0.32 %]\n", + "Velocity : 0.00363168 [ 0.77 %]\n", + "Force : 0.100303 [ 21.15 %]\n", + "Coefs : 0.0174883 [ 3.69 %]\n", + "Output : 0.00178416 [ 0.38 %]\n", + "Levels : 0.000112427 [ 0.02 %]\n", + "Report : 1.79e-07 [ 0.00 %]\n", + "Balance : 1.42e-07 [ 0.00 %]\n", + "Adjust : 0.349304 [ 73.66 %]\n", + "Total : 0.474218 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23064 1566 315 38 11 5 1 \n", + "1 : 23074 1568 301 38 12 4 3 \n", + "2 : 23082 1547 311 41 6 4 9 \n", + "3 : 23029 1623 287 40 12 5 4 \n", + "\n", + "T : 92249 6304 1214 157 41 18 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0544e-02 sec\n", + "--- Collate = 8.9890e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.647884e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.174439e-01 > 1.000000e-01 [71439]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71439/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=46.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00152681 [ 0.33 %]\n", + "Velocity : 0.00368186 [ 0.80 %]\n", + "Force : 0.102531 [ 22.38 %]\n", + "Coefs : 0.0172057 [ 3.76 %]\n", + "Output : 0.00160387 [ 0.35 %]\n", + "Levels : 9.7094e-05 [ 0.02 %]\n", + "Report : 1.6e-07 [ 0.00 %]\n", + "Balance : 1.05e-07 [ 0.00 %]\n", + "Adjust : 0.331465 [ 72.35 %]\n", + "Total : 0.458166 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23061 1569 314 37 15 1 3 \n", + "1 : 23076 1564 302 40 9 4 5 \n", + "2 : 23087 1545 308 39 8 6 7 \n", + "3 : 23029 1625 289 36 13 4 4 \n", + "\n", + "T : 92253 6303 1213 152 45 15 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0445e-02 sec\n", + "--- Collate = 9.9090e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.500848e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.172364e-01 > 1.000000e-01 [71459]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71459/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=46.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00152402 [ 0.32 %]\n", + "Velocity : 0.00396326 [ 0.84 %]\n", + "Force : 0.106709 [ 22.64 %]\n", + "Coefs : 0.0174594 [ 3.70 %]\n", + "Output : 0.00165578 [ 0.35 %]\n", + "Levels : 7.9877e-05 [ 0.02 %]\n", + "Report : 3.65e-07 [ 0.00 %]\n", + "Balance : 1.29e-07 [ 0.00 %]\n", + "Adjust : 0.33986 [ 72.11 %]\n", + "Total : 0.471307 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23068 1565 311 38 14 0 4 \n", + "1 : 23072 1571 302 38 9 3 5 \n", + "2 : 23086 1549 301 41 12 6 5 \n", + "3 : 23041 1616 288 34 10 6 5 \n", + "\n", + "T : 92267 6301 1202 151 45 15 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0596e-02 sec\n", + "--- Collate = 2.1621e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.866410e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.170256e-01 > 1.000000e-01 [71448]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71448/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=46.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00159783 [ 0.34 %]\n", + "Velocity : 0.00383875 [ 0.81 %]\n", + "Force : 0.0946509 [ 20.07 %]\n", + "Coefs : 0.0173696 [ 3.68 %]\n", + "Output : 0.00163339 [ 0.35 %]\n", + "Levels : 8.2597e-05 [ 0.02 %]\n", + "Report : 1.64e-07 [ 0.00 %]\n", + "Balance : 9e-08 [ 0.00 %]\n", + "Adjust : 0.352385 [ 74.72 %]\n", + "Total : 0.471612 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23057 1574 309 41 12 4 3 \n", + "1 : 23072 1566 308 33 13 5 3 \n", + "2 : 23087 1549 303 40 12 6 3 \n", + "3 : 23044 1613 286 38 7 6 6 \n", + "\n", + "T : 92260 6302 1206 152 44 21 15 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.1323e-02 sec\n", + "--- Collate = 1.1021e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.102385e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.168114e-01 > 1.000000e-01 [71438]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71438/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=46.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00150384 [ 0.32 %]\n", + "Velocity : 0.00366333 [ 0.79 %]\n", + "Force : 0.0934976 [ 20.08 %]\n", + "Coefs : 0.0175552 [ 3.77 %]\n", + "Output : 0.00168252 [ 0.36 %]\n", + "Levels : 9.104e-05 [ 0.02 %]\n", + "Report : 1.21e-07 [ 0.00 %]\n", + "Balance : 9.5e-08 [ 0.00 %]\n", + "Adjust : 0.347562 [ 74.65 %]\n", + "Total : 0.46561 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23057 1575 310 40 8 8 2 \n", + "1 : 23061 1584 301 35 11 6 2 \n", + "2 : 23089 1547 303 39 10 7 5 \n", + "3 : 23049 1599 299 30 13 2 8 \n", + "\n", + "T : 92256 6305 1213 144 42 23 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0438e-02 sec\n", + "--- Collate = 9.4300e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.698113e-04 < 1.562500e-03 [11]\n", + "--- Max DT=3.165939e-01 > 1.000000e-01 [71449]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71449/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=47] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00162828 [ 0.28 %]\n", + "Velocity : 0.003898 [ 0.67 %]\n", + "Force : 0.109759 [ 18.81 %]\n", + "Coefs : 0.0267022 [ 4.58 %]\n", + "Output : 0.0962557 [ 16.49 %]\n", + "Levels : 0.000116972 [ 0.02 %]\n", + "Report : 4.36e-07 [ 0.00 %]\n", + "Balance : 3.77e-07 [ 0.00 %]\n", + "Adjust : 0.345187 [ 59.15 %]\n", + "Total : 0.583608 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23062 1572 306 34 15 8 3 \n", + "1 : 23064 1580 299 38 11 6 2 \n", + "2 : 23087 1552 298 42 8 3 10 \n", + "3 : 23050 1601 298 30 12 3 6 \n", + "\n", + "T : 92263 6305 1201 144 46 20 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 2.0049e-02 sec\n", + "--- Collate = 1.1533e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.445289e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.163731e-01 > 1.000000e-01 [71459]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71459/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=47.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00564486 [ 1.08 %]\n", + "Velocity : 0.00481263 [ 0.92 %]\n", + "Force : 0.104074 [ 19.95 %]\n", + "Coefs : 0.0269693 [ 5.17 %]\n", + "Output : 0.00168556 [ 0.32 %]\n", + "Levels : 9.5206e-05 [ 0.02 %]\n", + "Report : 1.5e-07 [ 0.00 %]\n", + "Balance : 1.54e-07 [ 0.00 %]\n", + "Adjust : 0.378265 [ 72.52 %]\n", + "Total : 0.521602 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23059 1577 303 38 13 4 6 \n", + "1 : 23062 1574 307 36 13 3 5 \n", + "2 : 23082 1552 307 36 10 5 8 \n", + "3 : 23048 1597 304 35 8 4 4 \n", + "\n", + "T : 92251 6300 1221 145 44 16 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.7465e-02 sec\n", + "--- Collate = 1.5148e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.644023e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.161490e-01 > 1.000000e-01 [71460]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71460/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=47.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00152711 [ 0.29 %]\n", + "Velocity : 0.00452977 [ 0.86 %]\n", + "Force : 0.114801 [ 21.82 %]\n", + "Coefs : 0.0287467 [ 5.46 %]\n", + "Output : 0.00169186 [ 0.32 %]\n", + "Levels : 0.000128707 [ 0.02 %]\n", + "Report : 2.65e-07 [ 0.00 %]\n", + "Balance : 1.32e-07 [ 0.00 %]\n", + "Adjust : 0.374644 [ 71.21 %]\n", + "Total : 0.526122 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23068 1570 300 41 8 4 9 \n", + "1 : 23061 1574 307 35 12 6 5 \n", + "2 : 23081 1556 304 32 12 8 7 \n", + "3 : 23049 1595 303 36 9 5 3 \n", + "\n", + "T : 92259 6295 1214 144 41 23 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0500e-02 sec\n", + "--- Collate = 9.4000e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.277086e-04 < 1.562500e-03 [8]\n", + "--- Max DT=3.159217e-01 > 1.000000e-01 [71472]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71472/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=47.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00163174 [ 0.35 %]\n", + "Velocity : 0.00421283 [ 0.91 %]\n", + "Force : 0.0977882 [ 21.09 %]\n", + "Coefs : 0.0175321 [ 3.78 %]\n", + "Output : 0.00174512 [ 0.38 %]\n", + "Levels : 8.3664e-05 [ 0.02 %]\n", + "Report : 1.57e-07 [ 0.00 %]\n", + "Balance : 9.6e-08 [ 0.00 %]\n", + "Adjust : 0.340603 [ 73.46 %]\n", + "Total : 0.463648 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23065 1573 297 40 10 7 8 \n", + "1 : 23056 1575 312 35 10 7 5 \n", + "2 : 23081 1561 295 35 11 12 5 \n", + "3 : 23050 1597 305 34 5 5 4 \n", + "\n", + "T : 92252 6306 1209 144 36 31 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0500e-02 sec\n", + "--- Collate = 9.4900e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.445088e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.156912e-01 > 1.000000e-01 [71466]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71466/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=47.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00166731 [ 0.35 %]\n", + "Velocity : 0.00408598 [ 0.86 %]\n", + "Force : 0.106943 [ 22.42 %]\n", + "Coefs : 0.0186507 [ 3.91 %]\n", + "Output : 0.00169936 [ 0.36 %]\n", + "Levels : 9.8191e-05 [ 0.02 %]\n", + "Report : 1.74e-07 [ 0.00 %]\n", + "Balance : 7.8e-08 [ 0.00 %]\n", + "Adjust : 0.343823 [ 72.08 %]\n", + "Total : 0.477023 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23058 1590 285 42 10 6 9 \n", + "1 : 23045 1574 326 33 9 6 7 \n", + "2 : 23090 1549 299 34 14 10 4 \n", + "3 : 23050 1596 308 30 7 6 3 \n", + "\n", + "T : 92243 6309 1218 139 40 28 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0755e-02 sec\n", + "--- Collate = 9.7410e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.414640e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.154574e-01 > 1.000000e-01 [71443]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71443/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=47.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00147999 [ 0.33 %]\n", + "Velocity : 0.003638 [ 0.80 %]\n", + "Force : 0.0876992 [ 19.30 %]\n", + "Coefs : 0.0174565 [ 3.84 %]\n", + "Output : 0.00168449 [ 0.37 %]\n", + "Levels : 8.3474e-05 [ 0.02 %]\n", + "Report : 4.65e-07 [ 0.00 %]\n", + "Balance : 7.9e-08 [ 0.00 %]\n", + "Adjust : 0.342364 [ 75.33 %]\n", + "Total : 0.45446 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23054 1591 288 40 14 6 7 \n", + "1 : 23052 1565 326 36 7 5 9 \n", + "2 : 23100 1535 302 38 12 7 6 \n", + "3 : 23057 1585 310 31 10 2 5 \n", + "\n", + "T : 92263 6276 1226 145 43 20 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0727e-02 sec\n", + "--- Collate = 9.5650e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.321847e-06 < 1.562500e-03 [12]\n", + "--- Max DT=3.152207e-01 > 1.000000e-01 [71436]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71436/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=47.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00180701 [ 0.39 %]\n", + "Velocity : 0.00383106 [ 0.82 %]\n", + "Force : 0.092415 [ 19.73 %]\n", + "Coefs : 0.0174962 [ 3.74 %]\n", + "Output : 0.00166088 [ 0.35 %]\n", + "Levels : 9.0949e-05 [ 0.02 %]\n", + "Report : 1.68e-07 [ 0.00 %]\n", + "Balance : 1.24e-07 [ 0.00 %]\n", + "Adjust : 0.351018 [ 74.94 %]\n", + "Total : 0.468375 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23052 1595 286 40 15 5 7 \n", + "1 : 23050 1568 324 38 6 6 8 \n", + "2 : 23100 1530 309 37 12 8 4 \n", + "3 : 23047 1598 306 30 10 6 3 \n", + "\n", + "T : 92249 6291 1225 145 43 25 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0894e-02 sec\n", + "--- Collate = 9.2070e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.392422e-06 < 1.562500e-03 [6]\n", + "--- Max DT=3.149807e-01 > 1.000000e-01 [71433]\n", + "----------------------------------------------------------------------\n", + " Component | low: 6/100000\n", + " Component | high: 71433/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=47.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00149467 [ 0.31 %]\n", + "Velocity : 0.00385554 [ 0.79 %]\n", + "Force : 0.098939 [ 20.27 %]\n", + "Coefs : 0.017785 [ 3.64 %]\n", + "Output : 0.00175361 [ 0.36 %]\n", + "Levels : 9.1175e-05 [ 0.02 %]\n", + "Report : 1.55e-07 [ 0.00 %]\n", + "Balance : 8.8e-08 [ 0.00 %]\n", + "Adjust : 0.364149 [ 74.60 %]\n", + "Total : 0.488124 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23047 1597 289 40 17 5 5 \n", + "1 : 23048 1571 325 33 9 7 7 \n", + "2 : 23100 1529 306 45 11 3 6 \n", + "3 : 23044 1594 314 27 10 5 6 \n", + "\n", + "T : 92239 6291 1234 145 47 20 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.9147e-02 sec\n", + "--- Collate = 1.4286e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.996896e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.147489e-01 > 1.000000e-01 [71427]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71427/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=47.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00191173 [ 0.36 %]\n", + "Velocity : 0.00449644 [ 0.85 %]\n", + "Force : 0.111885 [ 21.22 %]\n", + "Coefs : 0.0263917 [ 5.01 %]\n", + "Output : 0.00191253 [ 0.36 %]\n", + "Levels : 0.000118051 [ 0.02 %]\n", + "Report : 5.41e-07 [ 0.00 %]\n", + "Balance : 1.54e-07 [ 0.00 %]\n", + "Adjust : 0.380428 [ 72.16 %]\n", + "Total : 0.527203 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23044 1595 296 39 14 8 4 \n", + "1 : 23046 1572 325 35 9 7 6 \n", + "2 : 23099 1529 309 38 15 6 4 \n", + "3 : 23048 1588 313 30 9 6 6 \n", + "\n", + "T : 92237 6284 1243 142 47 27 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.8972e-02 sec\n", + "--- Collate = 1.3827e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.360167e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.145546e-01 > 1.000000e-01 [71431]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71431/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=47.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00180221 [ 0.35 %]\n", + "Velocity : 0.00447835 [ 0.87 %]\n", + "Force : 0.111891 [ 21.66 %]\n", + "Coefs : 0.0277248 [ 5.37 %]\n", + "Output : 0.00175856 [ 0.34 %]\n", + "Levels : 9.8619e-05 [ 0.02 %]\n", + "Report : 3.95e-07 [ 0.00 %]\n", + "Balance : 1.01e-07 [ 0.00 %]\n", + "Adjust : 0.368889 [ 71.39 %]\n", + "Total : 0.5167 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23050 1590 295 43 10 5 7 \n", + "1 : 23043 1575 321 40 12 3 6 \n", + "2 : 23095 1540 303 38 16 3 5 \n", + "3 : 23042 1598 310 31 6 5 8 \n", + "\n", + "T : 92230 6303 1229 152 44 16 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.7725e-02 sec\n", + "--- Collate = 1.0992e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.045645e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.143575e-01 > 1.000000e-01 [71421]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71421/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=48] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00162027 [ 0.25 %]\n", + "Velocity : 0.00426189 [ 0.65 %]\n", + "Force : 0.109872 [ 16.77 %]\n", + "Coefs : 0.0284048 [ 4.34 %]\n", + "Output : 0.146878 [ 22.42 %]\n", + "Levels : 0.00010809 [ 0.02 %]\n", + "Report : 2.39e-07 [ 0.00 %]\n", + "Balance : 2.44e-07 [ 0.00 %]\n", + "Adjust : 0.363974 [ 55.55 %]\n", + "Total : 0.655174 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23054 1578 304 43 9 5 7 \n", + "1 : 23047 1573 318 40 11 8 3 \n", + "2 : 23093 1540 308 37 14 5 3 \n", + "3 : 23039 1599 310 32 7 7 6 \n", + "\n", + "T : 92233 6290 1240 152 41 25 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0320e-02 sec\n", + "--- Collate = 1.5436e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.004457e-04 < 1.562500e-03 [8]\n", + "--- Max DT=3.141573e-01 > 1.000000e-01 [71426]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71426/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=48.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00182283 [ 0.34 %]\n", + "Velocity : 0.00510615 [ 0.96 %]\n", + "Force : 0.114012 [ 21.44 %]\n", + "Coefs : 0.0290805 [ 5.47 %]\n", + "Output : 0.00176843 [ 0.33 %]\n", + "Levels : 0.000111995 [ 0.02 %]\n", + "Report : 2.57e-07 [ 0.00 %]\n", + "Balance : 9.4e-08 [ 0.00 %]\n", + "Adjust : 0.379801 [ 71.42 %]\n", + "Total : 0.53176 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23056 1575 301 49 4 8 7 \n", + "1 : 23048 1572 317 35 14 8 6 \n", + "2 : 23089 1545 308 39 11 4 4 \n", + "3 : 23039 1600 310 27 11 7 6 \n", + "\n", + "T : 92232 6292 1236 150 40 27 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.4453e-02 sec\n", + "--- Collate = 9.8150e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.229911e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.139542e-01 > 1.000000e-01 [71438]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71438/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=48.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00165836 [ 0.31 %]\n", + "Velocity : 0.00521852 [ 0.99 %]\n", + "Force : 0.115666 [ 21.87 %]\n", + "Coefs : 0.0307825 [ 5.82 %]\n", + "Output : 0.00177992 [ 0.34 %]\n", + "Levels : 7.9386e-05 [ 0.02 %]\n", + "Report : 1.53e-07 [ 0.00 %]\n", + "Balance : 1.12e-07 [ 0.00 %]\n", + "Adjust : 0.373724 [ 70.65 %]\n", + "Total : 0.528962 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23056 1573 303 45 13 5 5 \n", + "1 : 23045 1574 319 35 11 9 7 \n", + "2 : 23087 1540 312 41 9 8 3 \n", + "3 : 23037 1600 311 28 15 3 6 \n", + "\n", + "T : 92225 6287 1245 149 48 25 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0134e-02 sec\n", + "--- Collate = 9.3550e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.845147e-07 < 1.562500e-03 [12]\n", + "--- Max DT=3.137481e-01 > 1.000000e-01 [71433]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71433/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=48.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00153708 [ 0.33 %]\n", + "Velocity : 0.00390136 [ 0.83 %]\n", + "Force : 0.0920555 [ 19.67 %]\n", + "Coefs : 0.0178237 [ 3.81 %]\n", + "Output : 0.00172271 [ 0.37 %]\n", + "Levels : 0.000104307 [ 0.02 %]\n", + "Report : 1.48e-07 [ 0.00 %]\n", + "Balance : 9.1e-08 [ 0.00 %]\n", + "Adjust : 0.350693 [ 74.95 %]\n", + "Total : 0.467898 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23062 1560 314 40 16 4 4 \n", + "1 : 23044 1578 318 30 13 8 9 \n", + "2 : 23080 1552 306 43 6 9 4 \n", + "3 : 23035 1604 309 28 14 5 5 \n", + "\n", + "T : 92221 6294 1247 141 49 26 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0550e-02 sec\n", + "--- Collate = 9.5440e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.364525e-07 < 1.562500e-03 [11]\n", + "--- Max DT=3.135390e-01 > 1.000000e-01 [71424]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71424/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=48.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0014805 [ 0.33 %]\n", + "Velocity : 0.00376542 [ 0.83 %]\n", + "Force : 0.0908234 [ 20.09 %]\n", + "Coefs : 0.0169261 [ 3.74 %]\n", + "Output : 0.00169245 [ 0.37 %]\n", + "Levels : 9.2901e-05 [ 0.02 %]\n", + "Report : 1.61e-07 [ 0.00 %]\n", + "Balance : 1.07e-07 [ 0.00 %]\n", + "Adjust : 0.337338 [ 74.60 %]\n", + "Total : 0.452172 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23062 1561 311 38 20 5 3 \n", + "1 : 23053 1574 313 27 15 10 8 \n", + "2 : 23076 1558 309 36 10 4 7 \n", + "3 : 23033 1605 310 32 12 7 1 \n", + "\n", + "T : 92224 6298 1243 133 57 26 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0236e-02 sec\n", + "--- Collate = 8.9220e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.934747e-04 < 1.562500e-03 [10]\n", + "--- Max DT=3.135781e-01 > 1.000000e-01 [71414]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71414/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=48.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00170222 [ 0.37 %]\n", + "Velocity : 0.00408414 [ 0.89 %]\n", + "Force : 0.0916995 [ 20.09 %]\n", + "Coefs : 0.017236 [ 3.78 %]\n", + "Output : 0.00164982 [ 0.36 %]\n", + "Levels : 8.3083e-05 [ 0.02 %]\n", + "Report : 1.55e-07 [ 0.00 %]\n", + "Balance : 8.8e-08 [ 0.00 %]\n", + "Adjust : 0.340024 [ 74.48 %]\n", + "Total : 0.456529 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23053 1574 307 31 24 6 5 \n", + "1 : 23053 1573 316 25 13 11 9 \n", + "2 : 23078 1550 312 40 10 3 7 \n", + "3 : 23029 1612 307 34 9 5 4 \n", + "\n", + "T : 92213 6309 1242 130 56 25 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0561e-02 sec\n", + "--- Collate = 1.0076e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.796340e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.137117e-01 > 1.000000e-01 [71443]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71443/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=48.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00143051 [ 0.30 %]\n", + "Velocity : 0.00379279 [ 0.80 %]\n", + "Force : 0.0961965 [ 20.27 %]\n", + "Coefs : 0.0176125 [ 3.71 %]\n", + "Output : 0.00171419 [ 0.36 %]\n", + "Levels : 0.000103713 [ 0.02 %]\n", + "Report : 4.34e-07 [ 0.00 %]\n", + "Balance : 9.5e-08 [ 0.00 %]\n", + "Adjust : 0.35366 [ 74.52 %]\n", + "Total : 0.474563 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23051 1582 299 40 16 6 6 \n", + "1 : 23048 1585 308 24 18 8 9 \n", + "2 : 23083 1546 312 36 14 5 4 \n", + "3 : 23028 1614 303 41 7 2 5 \n", + "\n", + "T : 92210 6327 1222 141 55 21 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0052e-02 sec\n", + "--- Collate = 9.5680e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.885313e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.138410e-01 > 1.000000e-01 [71461]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71461/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=48.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00158376 [ 0.33 %]\n", + "Velocity : 0.00407242 [ 0.85 %]\n", + "Force : 0.108304 [ 22.52 %]\n", + "Coefs : 0.0191983 [ 3.99 %]\n", + "Output : 0.0017319 [ 0.36 %]\n", + "Levels : 8.6664e-05 [ 0.02 %]\n", + "Report : 1.59e-07 [ 0.00 %]\n", + "Balance : 1.09e-07 [ 0.00 %]\n", + "Adjust : 0.345929 [ 71.92 %]\n", + "Total : 0.480964 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23048 1579 306 40 14 5 8 \n", + "1 : 23054 1579 305 28 18 5 11 \n", + "2 : 23073 1556 313 33 16 7 2 \n", + "3 : 23019 1624 304 39 6 2 6 \n", + "\n", + "T : 92194 6338 1228 140 54 19 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0110e-02 sec\n", + "--- Collate = 1.3241e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.443469e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.139662e-01 > 1.000000e-01 [71474]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71474/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=48.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00147159 [ 0.31 %]\n", + "Velocity : 0.00431549 [ 0.91 %]\n", + "Force : 0.0933558 [ 19.64 %]\n", + "Coefs : 0.0176759 [ 3.72 %]\n", + "Output : 0.00172932 [ 0.36 %]\n", + "Levels : 9.4383e-05 [ 0.02 %]\n", + "Report : 1.52e-07 [ 0.00 %]\n", + "Balance : 7e-08 [ 0.00 %]\n", + "Adjust : 0.356538 [ 75.02 %]\n", + "Total : 0.475237 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23045 1582 310 34 16 7 6 \n", + "1 : 23048 1580 310 33 10 7 12 \n", + "2 : 23065 1564 311 36 17 4 3 \n", + "3 : 23016 1623 307 39 5 7 3 \n", + "\n", + "T : 92174 6349 1238 142 48 25 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.5351e-02 sec\n", + "--- Collate = 1.3395e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.750660e-06 < 1.562500e-03 [14]\n", + "--- Max DT=3.140875e-01 > 1.000000e-01 [71475]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71475/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=48.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00144187 [ 0.30 %]\n", + "Velocity : 0.00407763 [ 0.85 %]\n", + "Force : 0.102979 [ 21.37 %]\n", + "Coefs : 0.0170586 [ 3.54 %]\n", + "Output : 0.0016926 [ 0.35 %]\n", + "Levels : 0.00011289 [ 0.02 %]\n", + "Report : 1.71e-07 [ 0.00 %]\n", + "Balance : 1.21e-07 [ 0.00 %]\n", + "Adjust : 0.354389 [ 73.55 %]\n", + "Total : 0.481809 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23039 1592 305 33 16 8 7 \n", + "1 : 23045 1577 316 36 11 6 9 \n", + "2 : 23057 1571 316 34 14 3 5 \n", + "3 : 23013 1628 304 38 8 4 5 \n", + "\n", + "T : 92154 6368 1241 141 49 21 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.7644e-02 sec\n", + "--- Collate = 1.0234e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.557856e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.142054e-01 > 1.000000e-01 [71485]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71485/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=49] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00181878 [ 0.29 %]\n", + "Velocity : 0.00456854 [ 0.73 %]\n", + "Force : 0.107321 [ 17.07 %]\n", + "Coefs : 0.0258183 [ 4.11 %]\n", + "Output : 0.113357 [ 18.03 %]\n", + "Levels : 0.000103721 [ 0.02 %]\n", + "Report : 5.29e-07 [ 0.00 %]\n", + "Balance : 2.25e-07 [ 0.00 %]\n", + "Adjust : 0.375779 [ 59.76 %]\n", + "Total : 0.628824 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23038 1590 311 29 13 14 5 \n", + "1 : 23044 1571 322 37 12 7 7 \n", + "2 : 23048 1586 316 25 14 7 4 \n", + "3 : 23013 1628 307 35 8 5 4 \n", + "\n", + "T : 92143 6375 1256 126 47 33 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0630e-02 sec\n", + "--- Collate = 9.0920e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.265950e-04 < 1.562500e-03 [8]\n", + "--- Max DT=3.143197e-01 > 1.000000e-01 [71486]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71486/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=49.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00131812 [ 0.26 %]\n", + "Velocity : 0.00735411 [ 1.44 %]\n", + "Force : 0.11322 [ 22.11 %]\n", + "Coefs : 0.0372418 [ 7.27 %]\n", + "Output : 0.00170247 [ 0.33 %]\n", + "Levels : 9.9301e-05 [ 0.02 %]\n", + "Report : 1.5e-07 [ 0.00 %]\n", + "Balance : 1.18e-07 [ 0.00 %]\n", + "Adjust : 0.35117 [ 68.57 %]\n", + "Total : 0.512163 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23033 1596 313 25 18 4 11 \n", + "1 : 23047 1567 323 37 14 6 6 \n", + "2 : 23053 1580 316 26 13 5 7 \n", + "3 : 23020 1615 314 32 10 3 6 \n", + "\n", + "T : 92153 6358 1266 120 55 18 30 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0484e-02 sec\n", + "--- Collate = 9.6010e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.717084e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.144303e-01 > 1.000000e-01 [71509]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71509/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=49.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00169585 [ 0.36 %]\n", + "Velocity : 0.00382322 [ 0.81 %]\n", + "Force : 0.0956666 [ 20.27 %]\n", + "Coefs : 0.0180355 [ 3.82 %]\n", + "Output : 0.00178324 [ 0.38 %]\n", + "Levels : 9.0317e-05 [ 0.02 %]\n", + "Report : 1.35e-07 [ 0.00 %]\n", + "Balance : 1.16e-07 [ 0.00 %]\n", + "Adjust : 0.350712 [ 74.33 %]\n", + "Total : 0.471863 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23028 1606 309 27 17 4 9 \n", + "1 : 23051 1564 321 40 14 4 6 \n", + "2 : 23062 1576 308 27 14 8 5 \n", + "3 : 23012 1621 318 26 11 7 5 \n", + "\n", + "T : 92153 6367 1256 120 56 23 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.1001e-02 sec\n", + "--- Collate = 9.7490e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.189831e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.145373e-01 > 1.000000e-01 [71514]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71514/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=49.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00171517 [ 0.35 %]\n", + "Velocity : 0.00422135 [ 0.86 %]\n", + "Force : 0.109871 [ 22.27 %]\n", + "Coefs : 0.0180696 [ 3.66 %]\n", + "Output : 0.0016245 [ 0.33 %]\n", + "Levels : 8.0429e-05 [ 0.02 %]\n", + "Report : 2.11e-07 [ 0.00 %]\n", + "Balance : 1.06e-07 [ 0.00 %]\n", + "Adjust : 0.357732 [ 72.51 %]\n", + "Total : 0.49337 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23020 1616 308 29 13 4 10 \n", + "1 : 23054 1561 326 32 16 4 7 \n", + "2 : 23058 1581 306 30 11 9 5 \n", + "3 : 23009 1616 325 27 12 5 6 \n", + "\n", + "T : 92141 6374 1265 118 52 22 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0273e-02 sec\n", + "--- Collate = 8.9150e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.168864e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.146402e-01 > 1.000000e-01 [71516]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71516/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=49.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00150962 [ 0.32 %]\n", + "Velocity : 0.00375219 [ 0.80 %]\n", + "Force : 0.0975356 [ 20.67 %]\n", + "Coefs : 0.0176583 [ 3.74 %]\n", + "Output : 0.00167635 [ 0.36 %]\n", + "Levels : 8.0459e-05 [ 0.02 %]\n", + "Report : 2.12e-07 [ 0.00 %]\n", + "Balance : 7.3e-08 [ 0.00 %]\n", + "Adjust : 0.349628 [ 74.09 %]\n", + "Total : 0.471897 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23018 1622 301 33 8 13 5 \n", + "1 : 23049 1565 323 38 11 7 7 \n", + "2 : 23051 1587 303 33 12 6 8 \n", + "3 : 23004 1620 326 25 12 5 8 \n", + "\n", + "T : 92122 6394 1253 129 43 31 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0358e-02 sec\n", + "--- Collate = 9.8510e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.768346e-06 < 1.562500e-03 [20]\n", + "--- Max DT=3.147398e-01 > 1.000000e-01 [71512]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 71512/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=49.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00149754 [ 0.31 %]\n", + "Velocity : 0.00375713 [ 0.78 %]\n", + "Force : 0.108191 [ 22.50 %]\n", + "Coefs : 0.0182817 [ 3.80 %]\n", + "Output : 0.00173846 [ 0.36 %]\n", + "Levels : 8.8879e-05 [ 0.02 %]\n", + "Report : 1.51e-07 [ 0.00 %]\n", + "Balance : 7.8e-08 [ 0.00 %]\n", + "Adjust : 0.347288 [ 72.22 %]\n", + "Total : 0.4809 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23012 1625 301 38 9 9 6 \n", + "1 : 23040 1575 317 41 9 10 8 \n", + "2 : 23042 1594 304 35 10 5 10 \n", + "3 : 23001 1621 326 28 9 8 7 \n", + "\n", + "T : 92095 6415 1248 142 37 32 31 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0885e-02 sec\n", + "--- Collate = 9.3560e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.442739e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.148352e-01 > 1.000000e-01 [71488]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71488/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=49.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00159401 [ 0.33 %]\n", + "Velocity : 0.00404882 [ 0.83 %]\n", + "Force : 0.097853 [ 20.10 %]\n", + "Coefs : 0.0184231 [ 3.78 %]\n", + "Output : 0.00165361 [ 0.34 %]\n", + "Levels : 8.3341e-05 [ 0.02 %]\n", + "Report : 1.52e-07 [ 0.00 %]\n", + "Balance : 7.5e-08 [ 0.00 %]\n", + "Adjust : 0.363216 [ 74.59 %]\n", + "Total : 0.486931 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23015 1624 301 37 8 7 8 \n", + "1 : 23030 1579 322 42 12 5 10 \n", + "2 : 23040 1595 304 33 15 1 12 \n", + "3 : 23000 1628 319 32 6 7 8 \n", + "\n", + "T : 92085 6426 1246 144 41 20 38 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0635e-02 sec\n", + "--- Collate = 9.2200e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.114095e-05 < 1.562500e-03 [17]\n", + "--- Max DT=3.149270e-01 > 1.000000e-01 [71487]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71487/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=49.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00141994 [ 0.30 %]\n", + "Velocity : 0.00402514 [ 0.86 %]\n", + "Force : 0.105886 [ 22.56 %]\n", + "Coefs : 0.0207021 [ 4.41 %]\n", + "Output : 0.00164985 [ 0.35 %]\n", + "Levels : 8.164e-05 [ 0.02 %]\n", + "Report : 1.64e-07 [ 0.00 %]\n", + "Balance : 1.41e-07 [ 0.00 %]\n", + "Adjust : 0.335489 [ 71.49 %]\n", + "Total : 0.469304 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23017 1613 308 41 9 3 9 \n", + "1 : 23024 1580 326 40 16 6 8 \n", + "2 : 23041 1594 302 37 12 8 6 \n", + "3 : 22998 1635 311 33 7 8 8 \n", + "\n", + "T : 92080 6422 1247 151 44 25 31 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0988e-02 sec\n", + "--- Collate = 8.8070e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.959537e-06 < 1.562500e-03 [13]\n", + "--- Max DT=3.150148e-01 > 1.000000e-01 [71468]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71468/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=49.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00153665 [ 0.33 %]\n", + "Velocity : 0.00406209 [ 0.88 %]\n", + "Force : 0.0899677 [ 19.38 %]\n", + "Coefs : 0.0172274 [ 3.71 %]\n", + "Output : 0.00169514 [ 0.37 %]\n", + "Levels : 7.808e-05 [ 0.02 %]\n", + "Report : 1.51e-07 [ 0.00 %]\n", + "Balance : 1.09e-07 [ 0.00 %]\n", + "Adjust : 0.349551 [ 75.31 %]\n", + "Total : 0.464168 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23012 1620 309 37 11 5 6 \n", + "1 : 23014 1593 324 41 16 6 6 \n", + "2 : 23037 1596 298 44 15 7 3 \n", + "3 : 22996 1637 312 33 9 4 9 \n", + "\n", + "T : 92059 6446 1243 155 51 22 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0945e-02 sec\n", + "--- Collate = 9.2430e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.950291e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.150989e-01 > 1.000000e-01 [71469]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71469/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=49.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00152367 [ 0.31 %]\n", + "Velocity : 0.00378918 [ 0.78 %]\n", + "Force : 0.09656 [ 19.92 %]\n", + "Coefs : 0.0178989 [ 3.69 %]\n", + "Output : 0.00170986 [ 0.35 %]\n", + "Levels : 9.7176e-05 [ 0.02 %]\n", + "Report : 1.47e-07 [ 0.00 %]\n", + "Balance : 1.27e-07 [ 0.00 %]\n", + "Adjust : 0.363002 [ 74.90 %]\n", + "Total : 0.48464 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23013 1618 309 36 15 4 5 \n", + "1 : 23012 1598 327 36 16 7 4 \n", + "2 : 23039 1598 293 46 12 10 2 \n", + "3 : 22993 1642 304 37 11 7 6 \n", + "\n", + "T : 92057 6456 1233 155 54 28 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0454e-02 sec\n", + "--- Collate = 8.9100e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.797526e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.151788e-01 > 1.000000e-01 [71464]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71464/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=50] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00149683 [ 0.23 %]\n", + "Velocity : 0.00399463 [ 0.62 %]\n", + "Force : 0.106158 [ 16.48 %]\n", + "Coefs : 0.0207553 [ 3.22 %]\n", + "Output : 0.176325 [ 27.38 %]\n", + "Levels : 0.000101897 [ 0.02 %]\n", + "Report : 3.26e-07 [ 0.00 %]\n", + "Balance : 2.12e-07 [ 0.00 %]\n", + "Adjust : 0.335104 [ 52.04 %]\n", + "Total : 0.643986 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23004 1621 314 36 10 12 3 \n", + "1 : 23011 1596 330 37 14 10 2 \n", + "2 : 23042 1596 294 43 16 2 7 \n", + "3 : 22985 1649 305 37 13 6 5 \n", + "\n", + "T : 92042 6462 1243 153 53 30 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9142e-02 sec\n", + "--- Collate = 1.3780e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.108010e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.152551e-01 > 1.000000e-01 [71471]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71471/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=50.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00198015 [ 0.38 %]\n", + "Velocity : 0.00554241 [ 1.05 %]\n", + "Force : 0.113766 [ 21.60 %]\n", + "Coefs : 0.0291091 [ 5.53 %]\n", + "Output : 0.00187852 [ 0.36 %]\n", + "Levels : 0.00012798 [ 0.02 %]\n", + "Report : 1.86e-07 [ 0.00 %]\n", + "Balance : 1.5e-07 [ 0.00 %]\n", + "Adjust : 0.374277 [ 71.06 %]\n", + "Total : 0.526742 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22998 1630 311 33 14 7 7 \n", + "1 : 23008 1603 325 38 15 5 6 \n", + "2 : 23048 1586 300 39 15 5 7 \n", + "3 : 22987 1643 309 40 10 6 5 \n", + "\n", + "T : 92041 6462 1245 150 54 23 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9255e-02 sec\n", + "--- Collate = 1.5627e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.883186e-06 < 1.562500e-03 [17]\n", + "--- Max DT=3.153276e-01 > 1.000000e-01 [71467]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71467/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=50.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00185799 [ 0.35 %]\n", + "Velocity : 0.0049496 [ 0.94 %]\n", + "Force : 0.113632 [ 21.66 %]\n", + "Coefs : 0.0291523 [ 5.56 %]\n", + "Output : 0.00198583 [ 0.38 %]\n", + "Levels : 0.00012682 [ 0.02 %]\n", + "Report : 1.81e-07 [ 0.00 %]\n", + "Balance : 1.22e-07 [ 0.00 %]\n", + "Adjust : 0.372962 [ 71.08 %]\n", + "Total : 0.524729 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23006 1628 304 38 10 4 10 \n", + "1 : 22999 1610 328 39 11 5 8 \n", + "2 : 23049 1580 305 38 12 8 8 \n", + "3 : 22987 1640 309 44 10 5 5 \n", + "\n", + "T : 92041 6458 1246 159 43 22 31 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9435e-02 sec\n", + "--- Collate = 1.4088e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.121660e-05 < 1.562500e-03 [17]\n", + "--- Max DT=3.153963e-01 > 1.000000e-01 [71474]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71474/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=50.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00197881 [ 0.38 %]\n", + "Velocity : 0.00492032 [ 0.95 %]\n", + "Force : 0.11308 [ 21.84 %]\n", + "Coefs : 0.0290604 [ 5.61 %]\n", + "Output : 0.00176759 [ 0.34 %]\n", + "Levels : 0.000133661 [ 0.03 %]\n", + "Report : 1.87e-07 [ 0.00 %]\n", + "Balance : 1.12e-07 [ 0.00 %]\n", + "Adjust : 0.366766 [ 70.83 %]\n", + "Total : 0.517777 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23001 1632 301 39 12 7 8 \n", + "1 : 22994 1620 320 42 9 5 10 \n", + "2 : 23048 1581 306 39 5 10 11 \n", + "3 : 22990 1636 306 44 14 5 5 \n", + "\n", + "T : 92033 6469 1233 164 40 27 34 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.8799e-02 sec\n", + "--- Collate = 1.1218e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.056512e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.154612e-01 > 1.000000e-01 [71451]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71451/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=50.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00152876 [ 0.31 %]\n", + "Velocity : 0.00417155 [ 0.84 %]\n", + "Force : 0.10029 [ 20.08 %]\n", + "Coefs : 0.0236433 [ 4.73 %]\n", + "Output : 0.0016195 [ 0.32 %]\n", + "Levels : 0.000105216 [ 0.02 %]\n", + "Report : 1.87e-07 [ 0.00 %]\n", + "Balance : 7.7e-08 [ 0.00 %]\n", + "Adjust : 0.367947 [ 73.68 %]\n", + "Total : 0.499362 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23004 1631 292 46 9 10 8 \n", + "1 : 22989 1626 318 43 10 6 8 \n", + "2 : 23051 1581 306 34 9 7 12 \n", + "3 : 22992 1639 299 44 14 7 5 \n", + "\n", + "T : 92036 6477 1215 167 42 30 33 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0457e-02 sec\n", + "--- Collate = 1.3412e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.678789e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.155225e-01 > 1.000000e-01 [71455]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71455/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=50.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00158144 [ 0.32 %]\n", + "Velocity : 0.00413909 [ 0.84 %]\n", + "Force : 0.108857 [ 21.97 %]\n", + "Coefs : 0.0280603 [ 5.66 %]\n", + "Output : 0.00170388 [ 0.34 %]\n", + "Levels : 0.000107557 [ 0.02 %]\n", + "Report : 1.84e-07 [ 0.00 %]\n", + "Balance : 4e-08 [ 0.00 %]\n", + "Adjust : 0.351056 [ 70.84 %]\n", + "Total : 0.495563 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23004 1634 291 44 11 8 8 \n", + "1 : 22986 1633 317 37 10 9 8 \n", + "2 : 23050 1583 307 32 10 6 12 \n", + "3 : 22987 1647 300 37 15 7 7 \n", + "\n", + "T : 92027 6497 1215 150 46 30 35 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.1313e-02 sec\n", + "--- Collate = 9.6010e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.869340e-05 < 1.562500e-03 [19]\n", + "--- Max DT=3.155806e-01 > 1.000000e-01 [71452]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 71452/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=50.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00170078 [ 0.35 %]\n", + "Velocity : 0.00457977 [ 0.93 %]\n", + "Force : 0.0950466 [ 19.39 %]\n", + "Coefs : 0.0179608 [ 3.66 %]\n", + "Output : 0.00192244 [ 0.39 %]\n", + "Levels : 9.1053e-05 [ 0.02 %]\n", + "Report : 1.64e-07 [ 0.00 %]\n", + "Balance : 1.51e-07 [ 0.00 %]\n", + "Adjust : 0.368802 [ 75.24 %]\n", + "Total : 0.490162 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23015 1618 299 39 18 2 9 \n", + "1 : 22988 1627 319 39 13 5 9 \n", + "2 : 23040 1589 311 33 10 9 8 \n", + "3 : 22982 1649 304 36 16 7 6 \n", + "\n", + "T : 92025 6483 1233 147 57 23 32 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0234e-02 sec\n", + "--- Collate = 1.0217e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.369571e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.156356e-01 > 1.000000e-01 [71445]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71445/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=50.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00158271 [ 0.32 %]\n", + "Velocity : 0.00384101 [ 0.78 %]\n", + "Force : 0.111165 [ 22.58 %]\n", + "Coefs : 0.0184552 [ 3.75 %]\n", + "Output : 0.00189271 [ 0.38 %]\n", + "Levels : 8.4244e-05 [ 0.02 %]\n", + "Report : 1.6e-07 [ 0.00 %]\n", + "Balance : 6.3e-08 [ 0.00 %]\n", + "Adjust : 0.355341 [ 72.16 %]\n", + "Total : 0.492416 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23017 1613 304 38 18 3 7 \n", + "1 : 22988 1627 322 35 12 7 9 \n", + "2 : 23035 1590 317 29 15 6 8 \n", + "3 : 22983 1645 307 35 15 8 7 \n", + "\n", + "T : 92023 6475 1250 137 60 24 31 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.3450e-02 sec\n", + "--- Collate = 8.9810e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.640014e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.156870e-01 > 1.000000e-01 [71440]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71440/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=50.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00155754 [ 0.31 %]\n", + "Velocity : 0.00391765 [ 0.79 %]\n", + "Force : 0.0988841 [ 19.94 %]\n", + "Coefs : 0.0176402 [ 3.56 %]\n", + "Output : 0.00186637 [ 0.38 %]\n", + "Levels : 7.9174e-05 [ 0.02 %]\n", + "Report : 5.9e-08 [ 0.00 %]\n", + "Balance : 9.3e-08 [ 0.00 %]\n", + "Adjust : 0.371977 [ 75.00 %]\n", + "Total : 0.495982 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23014 1618 303 38 17 6 4 \n", + "1 : 22981 1637 317 36 15 6 8 \n", + "2 : 23038 1589 311 29 20 8 5 \n", + "3 : 22984 1648 301 37 15 8 7 \n", + "\n", + "T : 92017 6492 1232 140 67 28 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.1356e-02 sec\n", + "--- Collate = 9.7750e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.430419e-06 < 1.562500e-03 [9]\n", + "--- Max DT=3.157350e-01 > 1.000000e-01 [71458]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71458/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=50.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00155658 [ 0.33 %]\n", + "Velocity : 0.00394526 [ 0.83 %]\n", + "Force : 0.092827 [ 19.48 %]\n", + "Coefs : 0.0175498 [ 3.68 %]\n", + "Output : 0.00170951 [ 0.36 %]\n", + "Levels : 8.0096e-05 [ 0.02 %]\n", + "Report : 1.7e-07 [ 0.00 %]\n", + "Balance : 8.8e-08 [ 0.00 %]\n", + "Adjust : 0.358733 [ 75.29 %]\n", + "Total : 0.476457 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23010 1616 308 42 13 6 5 \n", + "1 : 22979 1635 317 41 15 7 6 \n", + "2 : 23037 1596 306 31 20 8 2 \n", + "3 : 22973 1663 298 38 14 7 7 \n", + "\n", + "T : 91999 6510 1229 152 62 28 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0172e-02 sec\n", + "--- Collate = 1.0292e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.641062e-04 < 1.562500e-03 [10]\n", + "--- Max DT=3.157794e-01 > 1.000000e-01 [71473]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71473/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=51] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00151744 [ 0.27 %]\n", + "Velocity : 0.00372554 [ 0.67 %]\n", + "Force : 0.0992302 [ 17.78 %]\n", + "Coefs : 0.0178243 [ 3.19 %]\n", + "Output : 0.0927148 [ 16.61 %]\n", + "Levels : 9.3863e-05 [ 0.02 %]\n", + "Report : 5.94e-07 [ 0.00 %]\n", + "Balance : 2.56e-07 [ 0.00 %]\n", + "Adjust : 0.343093 [ 61.46 %]\n", + "Total : 0.558251 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23004 1622 307 36 21 4 6 \n", + "1 : 22978 1645 303 45 14 11 4 \n", + "2 : 23035 1593 307 38 17 7 3 \n", + "3 : 22973 1659 307 35 7 10 9 \n", + "\n", + "T : 91990 6519 1224 154 59 32 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.8970e-02 sec\n", + "--- Collate = 1.0017e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.604778e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.158202e-01 > 1.000000e-01 [71460]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71460/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=51.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00176187 [ 0.32 %]\n", + "Velocity : 0.00449976 [ 0.81 %]\n", + "Force : 0.110368 [ 19.86 %]\n", + "Coefs : 0.0687233 [ 12.36 %]\n", + "Output : 0.00181966 [ 0.33 %]\n", + "Levels : 0.000102022 [ 0.02 %]\n", + "Report : 5.04e-07 [ 0.00 %]\n", + "Balance : 9.6e-08 [ 0.00 %]\n", + "Adjust : 0.368492 [ 66.30 %]\n", + "Total : 0.555823 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23008 1616 305 40 20 6 5 \n", + "1 : 22974 1640 310 45 14 10 7 \n", + "2 : 23036 1596 305 37 16 3 7 \n", + "3 : 22969 1663 308 32 9 10 9 \n", + "\n", + "T : 91987 6515 1228 154 59 29 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9267e-02 sec\n", + "--- Collate = 1.0348e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.349040e-06 < 1.562500e-03 [20]\n", + "--- Max DT=3.158574e-01 > 1.000000e-01 [71462]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 71462/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=51.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00158639 [ 0.31 %]\n", + "Velocity : 0.00402711 [ 0.79 %]\n", + "Force : 0.109096 [ 21.47 %]\n", + "Coefs : 0.0281827 [ 5.55 %]\n", + "Output : 0.00166578 [ 0.33 %]\n", + "Levels : 9.0768e-05 [ 0.02 %]\n", + "Report : 1.85e-07 [ 0.00 %]\n", + "Balance : 1.24e-07 [ 0.00 %]\n", + "Adjust : 0.363445 [ 71.52 %]\n", + "Total : 0.508149 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23010 1614 307 41 16 7 5 \n", + "1 : 22974 1637 312 46 12 7 12 \n", + "2 : 23031 1599 307 36 12 7 8 \n", + "3 : 22979 1657 305 31 11 7 10 \n", + "\n", + "T : 91994 6507 1231 154 51 28 35 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.8628e-02 sec\n", + "--- Collate = 1.2353e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.186394e-05 < 1.562500e-03 [18]\n", + "--- Max DT=3.158913e-01 > 1.000000e-01 [71450]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 71450/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=51.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0015638 [ 0.31 %]\n", + "Velocity : 0.00444432 [ 0.88 %]\n", + "Force : 0.10611 [ 21.01 %]\n", + "Coefs : 0.0286022 [ 5.66 %]\n", + "Output : 0.00162516 [ 0.32 %]\n", + "Levels : 0.000125339 [ 0.02 %]\n", + "Report : 2.03e-07 [ 0.00 %]\n", + "Balance : 2.01e-07 [ 0.00 %]\n", + "Adjust : 0.362586 [ 71.78 %]\n", + "Total : 0.505111 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 23001 1625 306 41 15 8 4 \n", + "1 : 22979 1635 314 40 15 6 11 \n", + "2 : 23034 1599 305 35 12 6 9 \n", + "3 : 22967 1670 302 31 17 4 9 \n", + "\n", + "T : 91981 6529 1227 147 59 24 33 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.8941e-02 sec\n", + "--- Collate = 1.1570e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.245279e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.159218e-01 > 1.000000e-01 [71450]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71450/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=51.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00203368 [ 0.40 %]\n", + "Velocity : 0.00436227 [ 0.85 %]\n", + "Force : 0.100077 [ 19.55 %]\n", + "Coefs : 0.0187421 [ 3.66 %]\n", + "Output : 0.00176333 [ 0.34 %]\n", + "Levels : 9.312e-05 [ 0.02 %]\n", + "Report : 4.7e-07 [ 0.00 %]\n", + "Balance : 1.85e-07 [ 0.00 %]\n", + "Adjust : 0.384666 [ 75.16 %]\n", + "Total : 0.511811 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22995 1630 307 37 16 7 8 \n", + "1 : 22972 1647 307 45 11 7 11 \n", + "2 : 23033 1597 306 37 8 14 5 \n", + "3 : 22974 1663 302 30 17 8 6 \n", + "\n", + "T : 91974 6537 1222 149 52 36 30 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.7292e-02 sec\n", + "--- Collate = 1.3634e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.440274e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.159489e-01 > 1.000000e-01 [71455]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71455/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=51.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00194422 [ 0.38 %]\n", + "Velocity : 0.00489452 [ 0.95 %]\n", + "Force : 0.108153 [ 21.01 %]\n", + "Coefs : 0.0187568 [ 3.64 %]\n", + "Output : 0.00188713 [ 0.37 %]\n", + "Levels : 0.000112555 [ 0.02 %]\n", + "Report : 2.44e-07 [ 0.00 %]\n", + "Balance : 1.24e-07 [ 0.00 %]\n", + "Adjust : 0.378882 [ 73.61 %]\n", + "Total : 0.514688 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22994 1630 307 42 11 10 6 \n", + "1 : 22968 1652 302 50 12 8 8 \n", + "2 : 23026 1612 305 31 11 7 8 \n", + "3 : 22973 1667 301 34 11 11 3 \n", + "\n", + "T : 91961 6561 1215 157 45 36 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.3895e-02 sec\n", + "--- Collate = 1.0194e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.607355e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.159727e-01 > 1.000000e-01 [71458]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71458/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=51.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00161156 [ 0.33 %]\n", + "Velocity : 0.00433179 [ 0.88 %]\n", + "Force : 0.102749 [ 20.76 %]\n", + "Coefs : 0.0187065 [ 3.78 %]\n", + "Output : 0.00169052 [ 0.34 %]\n", + "Levels : 9.7245e-05 [ 0.02 %]\n", + "Report : 1.4e-07 [ 0.00 %]\n", + "Balance : 1.1e-07 [ 0.00 %]\n", + "Adjust : 0.365592 [ 73.88 %]\n", + "Total : 0.49483 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22993 1631 309 41 13 6 7 \n", + "1 : 22969 1646 307 49 18 4 7 \n", + "2 : 23028 1607 310 28 17 4 6 \n", + "3 : 22969 1673 300 31 15 9 3 \n", + "\n", + "T : 91959 6557 1226 149 63 23 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0535e-02 sec\n", + "--- Collate = 9.8370e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.407037e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.159933e-01 > 1.000000e-01 [71454]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71454/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=51.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00172711 [ 0.36 %]\n", + "Velocity : 0.00397315 [ 0.84 %]\n", + "Force : 0.0974318 [ 20.50 %]\n", + "Coefs : 0.0212602 [ 4.47 %]\n", + "Output : 0.00175933 [ 0.37 %]\n", + "Levels : 9.6481e-05 [ 0.02 %]\n", + "Report : 1.71e-07 [ 0.00 %]\n", + "Balance : 1.06e-07 [ 0.00 %]\n", + "Adjust : 0.348995 [ 73.43 %]\n", + "Total : 0.475296 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22987 1644 300 43 13 8 5 \n", + "1 : 22964 1657 302 47 18 5 7 \n", + "2 : 23030 1604 310 29 19 2 6 \n", + "3 : 22964 1671 307 32 15 1 10 \n", + "\n", + "T : 91945 6576 1219 151 65 16 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0697e-02 sec\n", + "--- Collate = 9.1430e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.340942e-06 < 1.562500e-03 [14]\n", + "--- Max DT=3.160105e-01 > 1.000000e-01 [71443]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71443/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=51.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00159578 [ 0.33 %]\n", + "Velocity : 0.00417638 [ 0.85 %]\n", + "Force : 0.109207 [ 22.27 %]\n", + "Coefs : 0.0180904 [ 3.69 %]\n", + "Output : 0.00177309 [ 0.36 %]\n", + "Levels : 8.5947e-05 [ 0.02 %]\n", + "Report : 1.47e-07 [ 0.00 %]\n", + "Balance : 1.01e-07 [ 0.00 %]\n", + "Adjust : 0.355391 [ 72.47 %]\n", + "Total : 0.490376 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22981 1648 303 39 16 6 7 \n", + "1 : 22959 1668 297 46 14 12 4 \n", + "2 : 23019 1612 312 35 11 8 3 \n", + "3 : 22968 1667 309 34 10 2 10 \n", + "\n", + "T : 91927 6595 1221 154 51 28 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.1214e-02 sec\n", + "--- Collate = 9.5840e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.143439e-04 < 1.562500e-03 [10]\n", + "--- Max DT=3.160242e-01 > 1.000000e-01 [71443]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71443/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=51.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00149272 [ 0.30 %]\n", + "Velocity : 0.00413735 [ 0.84 %]\n", + "Force : 0.100728 [ 20.39 %]\n", + "Coefs : 0.0179052 [ 3.62 %]\n", + "Output : 0.00176191 [ 0.36 %]\n", + "Levels : 8.3024e-05 [ 0.02 %]\n", + "Report : 1.91e-07 [ 0.00 %]\n", + "Balance : 1.44e-07 [ 0.00 %]\n", + "Adjust : 0.367941 [ 74.47 %]\n", + "Total : 0.494107 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22992 1631 309 35 17 11 5 \n", + "1 : 22962 1664 302 41 14 9 8 \n", + "2 : 23016 1612 314 36 12 8 2 \n", + "3 : 22967 1673 302 36 8 6 8 \n", + "\n", + "T : 91937 6580 1227 148 51 34 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.1285e-02 sec\n", + "--- Collate = 1.5633e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.933001e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.160343e-01 > 1.000000e-01 [71457]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71457/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=52] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00165994 [ 0.28 %]\n", + "Velocity : 0.00435063 [ 0.72 %]\n", + "Force : 0.0951141 [ 15.80 %]\n", + "Coefs : 0.0182118 [ 3.02 %]\n", + "Output : 0.071971 [ 11.95 %]\n", + "Levels : 0.0421252 [ 7.00 %]\n", + "Report : 4.58e-07 [ 0.00 %]\n", + "Balance : 3.52e-07 [ 0.00 %]\n", + "Adjust : 0.368682 [ 61.23 %]\n", + "Total : 0.602174 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22987 1634 311 36 16 8 8 \n", + "1 : 22964 1666 299 36 21 3 11 \n", + "2 : 23013 1613 316 38 15 2 3 \n", + "3 : 22969 1673 297 38 11 8 4 \n", + "\n", + "T : 91933 6586 1223 148 63 21 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.9793e-02 sec\n", + "--- Collate = 2.0470e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.910622e-05 < 1.562500e-03 [17]\n", + "--- Max DT=3.160410e-01 > 1.000000e-01 [71440]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71440/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=52.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0052224 [ 0.98 %]\n", + "Velocity : 0.00437068 [ 0.82 %]\n", + "Force : 0.11544 [ 21.67 %]\n", + "Coefs : 0.0311111 [ 5.84 %]\n", + "Output : 0.00177309 [ 0.33 %]\n", + "Levels : 9.99e-05 [ 0.02 %]\n", + "Report : 1.94e-07 [ 0.00 %]\n", + "Balance : 8e-08 [ 0.00 %]\n", + "Adjust : 0.374676 [ 70.33 %]\n", + "Total : 0.532753 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22995 1625 305 42 16 7 10 \n", + "1 : 22957 1672 304 34 14 8 11 \n", + "2 : 23014 1614 315 36 16 2 3 \n", + "3 : 22963 1672 308 36 10 5 6 \n", + "\n", + "T : 91929 6583 1232 148 56 22 30 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.8652e-02 sec\n", + "--- Collate = 1.0893e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.492425e-06 < 1.562500e-03 [15]\n", + "--- Max DT=3.160442e-01 > 1.000000e-01 [71438]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71438/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=52.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00156109 [ 0.30 %]\n", + "Velocity : 0.00395178 [ 0.75 %]\n", + "Force : 0.115393 [ 21.97 %]\n", + "Coefs : 0.0304446 [ 5.80 %]\n", + "Output : 0.00184685 [ 0.35 %]\n", + "Levels : 8.893e-05 [ 0.02 %]\n", + "Report : 1.8e-07 [ 0.00 %]\n", + "Balance : 1.81e-07 [ 0.00 %]\n", + "Adjust : 0.371912 [ 70.81 %]\n", + "Total : 0.525259 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22989 1633 303 46 16 3 10 \n", + "1 : 22959 1670 300 41 9 14 7 \n", + "2 : 23011 1621 312 34 15 4 3 \n", + "3 : 22962 1673 301 41 13 4 6 \n", + "\n", + "T : 91921 6597 1216 162 53 25 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.7932e-02 sec\n", + "--- Collate = 1.0900e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.762448e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.160439e-01 > 1.000000e-01 [71442]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71442/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=52.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00152444 [ 0.30 %]\n", + "Velocity : 0.00402139 [ 0.80 %]\n", + "Force : 0.105197 [ 20.88 %]\n", + "Coefs : 0.0270631 [ 5.37 %]\n", + "Output : 0.00162259 [ 0.32 %]\n", + "Levels : 8.2425e-05 [ 0.02 %]\n", + "Report : 1.61e-07 [ 0.00 %]\n", + "Balance : 1.16e-07 [ 0.00 %]\n", + "Adjust : 0.364341 [ 72.30 %]\n", + "Total : 0.503907 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22989 1639 301 46 11 8 6 \n", + "1 : 22956 1671 304 39 10 14 6 \n", + "2 : 23006 1621 316 37 14 4 2 \n", + "3 : 22968 1664 304 39 13 5 7 \n", + "\n", + "T : 91919 6595 1225 161 48 31 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9496e-02 sec\n", + "--- Collate = 1.1871e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.874185e-06 < 1.562500e-03 [13]\n", + "--- Max DT=3.160401e-01 > 1.000000e-01 [71444]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71444/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=52.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0015888 [ 0.31 %]\n", + "Velocity : 0.00415524 [ 0.82 %]\n", + "Force : 0.102621 [ 20.23 %]\n", + "Coefs : 0.0219548 [ 4.33 %]\n", + "Output : 0.00176382 [ 0.35 %]\n", + "Levels : 9.9113e-05 [ 0.02 %]\n", + "Report : 4.33e-07 [ 0.00 %]\n", + "Balance : 1.04e-07 [ 0.00 %]\n", + "Adjust : 0.374929 [ 73.93 %]\n", + "Total : 0.507166 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22984 1640 304 43 14 11 4 \n", + "1 : 22955 1674 301 38 13 10 9 \n", + "2 : 22999 1627 318 37 4 12 3 \n", + "3 : 22969 1660 307 40 11 8 5 \n", + "\n", + "T : 91907 6601 1230 158 42 41 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.7270e-02 sec\n", + "--- Collate = 1.4206e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.171719e-06 < 1.562500e-03 [12]\n", + "--- Max DT=3.160329e-01 > 1.000000e-01 [71441]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71441/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=52.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0016092 [ 0.31 %]\n", + "Velocity : 0.00418062 [ 0.80 %]\n", + "Force : 0.10936 [ 21.05 %]\n", + "Coefs : 0.0297929 [ 5.73 %]\n", + "Output : 0.00188162 [ 0.36 %]\n", + "Levels : 0.000116056 [ 0.02 %]\n", + "Report : 2.85e-07 [ 0.00 %]\n", + "Balance : 1.57e-07 [ 0.00 %]\n", + "Adjust : 0.372621 [ 71.71 %]\n", + "Total : 0.519619 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22979 1651 301 40 14 9 6 \n", + "1 : 22959 1679 294 37 14 8 9 \n", + "2 : 23002 1622 322 34 5 8 7 \n", + "3 : 22976 1653 306 37 15 7 6 \n", + "\n", + "T : 91916 6605 1223 148 48 32 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0404e-02 sec\n", + "--- Collate = 8.9620e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.610574e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.160225e-01 > 1.000000e-01 [71437]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71437/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=52.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00185206 [ 0.37 %]\n", + "Velocity : 0.0044464 [ 0.90 %]\n", + "Force : 0.108555 [ 21.89 %]\n", + "Coefs : 0.0243887 [ 4.92 %]\n", + "Output : 0.00184124 [ 0.37 %]\n", + "Levels : 8.7586e-05 [ 0.02 %]\n", + "Report : 1.51e-07 [ 0.00 %]\n", + "Balance : 8.8e-08 [ 0.00 %]\n", + "Adjust : 0.354708 [ 71.52 %]\n", + "Total : 0.495936 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22982 1649 298 42 17 4 8 \n", + "1 : 22951 1690 288 40 17 8 6 \n", + "2 : 23003 1623 321 31 9 2 11 \n", + "3 : 22971 1654 313 32 17 9 4 \n", + "\n", + "T : 91907 6616 1220 145 60 23 29 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.1648e-02 sec\n", + "--- Collate = 2.7052e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.776059e-06 < 1.562500e-03 [17]\n", + "--- Max DT=3.160086e-01 > 1.000000e-01 [71437]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71437/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=52.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00152213 [ 0.32 %]\n", + "Velocity : 0.00408272 [ 0.85 %]\n", + "Force : 0.0972637 [ 20.15 %]\n", + "Coefs : 0.0175727 [ 3.64 %]\n", + "Output : 0.00173353 [ 0.36 %]\n", + "Levels : 8.3887e-05 [ 0.02 %]\n", + "Report : 1.68e-07 [ 0.00 %]\n", + "Balance : 8.7e-08 [ 0.00 %]\n", + "Adjust : 0.360467 [ 74.66 %]\n", + "Total : 0.482782 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22981 1652 293 50 13 5 6 \n", + "1 : 22942 1702 286 42 14 9 5 \n", + "2 : 23000 1621 326 29 8 6 10 \n", + "3 : 22974 1652 311 33 17 7 6 \n", + "\n", + "T : 91897 6627 1216 154 52 27 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0324e-02 sec\n", + "--- Collate = 9.7930e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.708914e-06 < 1.562500e-03 [10]\n", + "--- Max DT=3.159914e-01 > 1.000000e-01 [71464]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71464/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=52.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00154668 [ 0.31 %]\n", + "Velocity : 0.00415102 [ 0.82 %]\n", + "Force : 0.114555 [ 22.69 %]\n", + "Coefs : 0.0243488 [ 4.82 %]\n", + "Output : 0.00173575 [ 0.34 %]\n", + "Levels : 0.000104427 [ 0.02 %]\n", + "Report : 1.44e-07 [ 0.00 %]\n", + "Balance : 1.04e-07 [ 0.00 %]\n", + "Adjust : 0.35831 [ 70.98 %]\n", + "Total : 0.504807 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22979 1650 296 50 12 8 5 \n", + "1 : 22947 1692 293 38 16 5 9 \n", + "2 : 22992 1621 334 25 14 6 8 \n", + "3 : 22974 1659 303 38 10 9 7 \n", + "\n", + "T : 91892 6622 1226 151 52 28 29 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0241e-02 sec\n", + "--- Collate = 8.9020e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.671891e-05 < 1.562500e-03 [17]\n", + "--- Max DT=3.159707e-01 > 1.000000e-01 [71482]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71482/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=52.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00174629 [ 0.36 %]\n", + "Velocity : 0.00405078 [ 0.83 %]\n", + "Force : 0.107864 [ 22.01 %]\n", + "Coefs : 0.0234567 [ 4.79 %]\n", + "Output : 0.00184688 [ 0.38 %]\n", + "Levels : 8.2379e-05 [ 0.02 %]\n", + "Report : 1.99e-07 [ 0.00 %]\n", + "Balance : 1.27e-07 [ 0.00 %]\n", + "Adjust : 0.350905 [ 71.61 %]\n", + "Total : 0.490009 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22978 1651 298 47 12 11 3 \n", + "1 : 22942 1686 304 43 7 9 9 \n", + "2 : 22999 1617 327 29 16 7 5 \n", + "3 : 22967 1661 308 36 9 7 12 \n", + "\n", + "T : 91886 6615 1237 155 44 34 29 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0924e-02 sec\n", + "--- Collate = 9.6050e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.397524e-05 < 1.562500e-03 [19]\n", + "--- Max DT=3.159467e-01 > 1.000000e-01 [71481]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 71481/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=53] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00188678 [ 0.32 %]\n", + "Velocity : 0.00380614 [ 0.65 %]\n", + "Force : 0.10479 [ 17.87 %]\n", + "Coefs : 0.0177617 [ 3.03 %]\n", + "Output : 0.103924 [ 17.73 %]\n", + "Levels : 0.000104061 [ 0.02 %]\n", + "Report : 5.44e-07 [ 0.00 %]\n", + "Balance : 3.82e-07 [ 0.00 %]\n", + "Adjust : 0.353923 [ 60.37 %]\n", + "Total : 0.586251 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22974 1660 294 45 14 8 5 \n", + "1 : 22939 1686 302 46 10 8 9 \n", + "2 : 22999 1615 325 37 16 2 6 \n", + "3 : 22964 1661 313 34 9 8 11 \n", + "\n", + "T : 91876 6622 1234 162 49 26 31 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9538e-02 sec\n", + "--- Collate = 1.1729e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.412212e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.159195e-01 > 1.000000e-01 [71491]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71491/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=53.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00125741 [ 0.24 %]\n", + "Velocity : 0.00669834 [ 1.27 %]\n", + "Force : 0.111577 [ 21.14 %]\n", + "Coefs : 0.0384344 [ 7.28 %]\n", + "Output : 0.00168058 [ 0.32 %]\n", + "Levels : 9.2991e-05 [ 0.02 %]\n", + "Report : 1.66e-07 [ 0.00 %]\n", + "Balance : 1.61e-07 [ 0.00 %]\n", + "Adjust : 0.367975 [ 69.72 %]\n", + "Total : 0.527772 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22972 1668 293 38 17 7 5 \n", + "1 : 22933 1683 308 46 13 10 7 \n", + "2 : 22997 1620 321 36 15 8 3 \n", + "3 : 22957 1664 316 37 7 9 10 \n", + "\n", + "T : 91859 6635 1238 157 52 34 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.1814e-02 sec\n", + "--- Collate = 9.9770e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.093558e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.158893e-01 > 1.000000e-01 [71471]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71471/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=53.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00149579 [ 0.30 %]\n", + "Velocity : 0.00391561 [ 0.78 %]\n", + "Force : 0.104512 [ 20.77 %]\n", + "Coefs : 0.0289081 [ 5.74 %]\n", + "Output : 0.00185283 [ 0.37 %]\n", + "Levels : 8.7601e-05 [ 0.02 %]\n", + "Report : 5.72e-07 [ 0.00 %]\n", + "Balance : 1.26e-07 [ 0.00 %]\n", + "Adjust : 0.362372 [ 72.01 %]\n", + "Total : 0.5032 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22966 1677 293 36 14 7 7 \n", + "1 : 22930 1680 319 42 12 9 8 \n", + "2 : 23003 1615 319 36 18 3 6 \n", + "3 : 22951 1677 309 35 11 9 8 \n", + "\n", + "T : 91850 6649 1240 149 55 28 29 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9336e-02 sec\n", + "--- Collate = 9.6160e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.155733e-05 < 1.562500e-03 [21]\n", + "--- Max DT=3.158558e-01 > 1.000000e-01 [71475]\n", + "----------------------------------------------------------------------\n", + " Component | low: 21/100000\n", + " Component | high: 71475/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=53.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00166414 [ 0.34 %]\n", + "Velocity : 0.00403707 [ 0.83 %]\n", + "Force : 0.0932649 [ 19.22 %]\n", + "Coefs : 0.0177913 [ 3.67 %]\n", + "Output : 0.00174176 [ 0.36 %]\n", + "Levels : 8.8983e-05 [ 0.02 %]\n", + "Report : 1.82e-07 [ 0.00 %]\n", + "Balance : 1.28e-07 [ 0.00 %]\n", + "Adjust : 0.366522 [ 75.55 %]\n", + "Total : 0.485162 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22965 1673 296 38 11 9 8 \n", + "1 : 22928 1680 320 45 15 5 7 \n", + "2 : 22998 1624 316 39 12 6 5 \n", + "3 : 22956 1673 305 40 13 6 7 \n", + "\n", + "T : 91847 6650 1237 162 51 26 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.7371e-02 sec\n", + "--- Collate = 1.1827e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.149838e-06 < 1.562500e-03 [10]\n", + "--- Max DT=3.158195e-01 > 1.000000e-01 [71466]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71466/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=53.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00165281 [ 0.32 %]\n", + "Velocity : 0.00493872 [ 0.95 %]\n", + "Force : 0.111427 [ 21.49 %]\n", + "Coefs : 0.0291092 [ 5.61 %]\n", + "Output : 0.00165282 [ 0.32 %]\n", + "Levels : 8.8021e-05 [ 0.02 %]\n", + "Report : 1.74e-07 [ 0.00 %]\n", + "Balance : 1.58e-07 [ 0.00 %]\n", + "Adjust : 0.369512 [ 71.27 %]\n", + "Total : 0.518438 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22964 1665 304 40 10 10 7 \n", + "1 : 22921 1683 322 47 14 5 8 \n", + "2 : 23000 1623 318 31 15 6 7 \n", + "3 : 22950 1680 305 43 8 8 6 \n", + "\n", + "T : 91835 6651 1249 161 47 29 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.8585e-02 sec\n", + "--- Collate = 1.2147e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.961864e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.157802e-01 > 1.000000e-01 [71458]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71458/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=53.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00171469 [ 0.34 %]\n", + "Velocity : 0.00461266 [ 0.92 %]\n", + "Force : 0.0956878 [ 19.13 %]\n", + "Coefs : 0.0248937 [ 4.98 %]\n", + "Output : 0.00171921 [ 0.34 %]\n", + "Levels : 0.000131372 [ 0.03 %]\n", + "Report : 2.04e-07 [ 0.00 %]\n", + "Balance : 4.4e-07 [ 0.00 %]\n", + "Adjust : 0.371425 [ 74.25 %]\n", + "Total : 0.500244 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22953 1670 308 41 11 8 9 \n", + "1 : 22918 1686 323 43 16 7 7 \n", + "2 : 22993 1630 319 31 11 12 4 \n", + "3 : 22952 1672 317 32 14 5 8 \n", + "\n", + "T : 91816 6658 1267 147 52 32 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0579e-02 sec\n", + "--- Collate = 9.3190e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.014132e-05 < 1.562500e-03 [20]\n", + "--- Max DT=3.157377e-01 > 1.000000e-01 [71460]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 71460/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=53.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00167633 [ 0.33 %]\n", + "Velocity : 0.0047693 [ 0.95 %]\n", + "Force : 0.111065 [ 22.16 %]\n", + "Coefs : 0.0277159 [ 5.53 %]\n", + "Output : 0.00173553 [ 0.35 %]\n", + "Levels : 0.000123618 [ 0.02 %]\n", + "Report : 1.76e-07 [ 0.00 %]\n", + "Balance : 8.4e-08 [ 0.00 %]\n", + "Adjust : 0.354156 [ 70.65 %]\n", + "Total : 0.501293 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22953 1669 306 41 12 7 12 \n", + "1 : 22913 1685 335 39 16 5 7 \n", + "2 : 22998 1628 316 32 12 7 7 \n", + "3 : 22948 1678 312 34 15 5 8 \n", + "\n", + "T : 91812 6660 1269 146 55 24 34 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0529e-02 sec\n", + "--- Collate = 1.0198e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.775487e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.156922e-01 > 1.000000e-01 [71459]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71459/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=53.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00173532 [ 0.35 %]\n", + "Velocity : 0.00395652 [ 0.79 %]\n", + "Force : 0.112333 [ 22.50 %]\n", + "Coefs : 0.0198138 [ 3.97 %]\n", + "Output : 0.00180291 [ 0.36 %]\n", + "Levels : 9.3446e-05 [ 0.02 %]\n", + "Report : 1.61e-07 [ 0.00 %]\n", + "Balance : 1.21e-07 [ 0.00 %]\n", + "Adjust : 0.359386 [ 72.00 %]\n", + "Total : 0.49918 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22951 1669 311 39 11 8 11 \n", + "1 : 22908 1692 326 43 15 10 6 \n", + "2 : 22988 1631 326 25 16 6 8 \n", + "3 : 22937 1684 315 34 17 5 8 \n", + "\n", + "T : 91784 6676 1278 141 59 29 33 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.1060e-02 sec\n", + "--- Collate = 9.0010e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.127739e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.156434e-01 > 1.000000e-01 [71445]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71445/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=53.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00151852 [ 0.32 %]\n", + "Velocity : 0.00382992 [ 0.80 %]\n", + "Force : 0.107066 [ 22.36 %]\n", + "Coefs : 0.0178071 [ 3.72 %]\n", + "Output : 0.00165457 [ 0.35 %]\n", + "Levels : 9.0093e-05 [ 0.02 %]\n", + "Report : 1.65e-07 [ 0.00 %]\n", + "Balance : 8.9e-08 [ 0.00 %]\n", + "Adjust : 0.346789 [ 72.43 %]\n", + "Total : 0.478809 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22944 1671 316 37 12 9 11 \n", + "1 : 22909 1697 317 41 21 8 7 \n", + "2 : 22980 1633 328 31 16 4 8 \n", + "3 : 22935 1686 315 38 10 11 5 \n", + "\n", + "T : 91768 6687 1276 147 59 32 31 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.3378e-02 sec\n", + "--- Collate = 1.0727e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.849773e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.155912e-01 > 1.000000e-01 [71452]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71452/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=53.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0015267 [ 0.32 %]\n", + "Velocity : 0.00431397 [ 0.91 %]\n", + "Force : 0.0914258 [ 19.27 %]\n", + "Coefs : 0.0175958 [ 3.71 %]\n", + "Output : 0.00166938 [ 0.35 %]\n", + "Levels : 9.8504e-05 [ 0.02 %]\n", + "Report : 1.81e-07 [ 0.00 %]\n", + "Balance : 1.16e-07 [ 0.00 %]\n", + "Adjust : 0.357761 [ 75.41 %]\n", + "Total : 0.474444 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22933 1680 318 37 16 9 7 \n", + "1 : 22904 1700 320 40 18 8 10 \n", + "2 : 22969 1644 327 36 11 6 7 \n", + "3 : 22933 1682 321 43 6 8 7 \n", + "\n", + "T : 91739 6706 1286 156 51 31 31 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.2483e-02 sec\n", + "--- Collate = 9.5530e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.656593e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.155361e-01 > 1.000000e-01 [71465]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71465/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=54] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00161348 [ 0.25 %]\n", + "Velocity : 0.00409841 [ 0.64 %]\n", + "Force : 0.107917 [ 16.76 %]\n", + "Coefs : 0.0187907 [ 2.92 %]\n", + "Output : 0.136938 [ 21.26 %]\n", + "Levels : 8.6038e-05 [ 0.01 %]\n", + "Report : 5.62e-07 [ 0.00 %]\n", + "Balance : 3.13e-07 [ 0.00 %]\n", + "Adjust : 0.374575 [ 58.16 %]\n", + "Total : 0.644077 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22934 1679 315 43 15 8 6 \n", + "1 : 22896 1714 316 38 16 10 10 \n", + "2 : 22962 1653 323 36 12 10 4 \n", + "3 : 22935 1680 320 42 10 4 9 \n", + "\n", + "T : 91727 6726 1274 159 53 32 29 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9331e-02 sec\n", + "--- Collate = 1.0352e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.908210e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.154776e-01 > 1.000000e-01 [71491]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71491/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=54.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0135246 [ 2.59 %]\n", + "Velocity : 0.00552948 [ 1.06 %]\n", + "Force : 0.109928 [ 21.06 %]\n", + "Coefs : 0.0276019 [ 5.29 %]\n", + "Output : 0.00169864 [ 0.33 %]\n", + "Levels : 8.6396e-05 [ 0.02 %]\n", + "Report : 2.35e-07 [ 0.00 %]\n", + "Balance : 1.11e-07 [ 0.00 %]\n", + "Adjust : 0.363588 [ 69.65 %]\n", + "Total : 0.522012 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22926 1687 313 50 13 6 5 \n", + "1 : 22893 1715 316 39 16 11 10 \n", + "2 : 22958 1657 319 41 17 4 4 \n", + "3 : 22941 1679 313 41 11 5 10 \n", + "\n", + "T : 91718 6738 1261 171 57 26 29 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.8928e-02 sec\n", + "--- Collate = 1.0803e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.002888e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.154160e-01 > 1.000000e-01 [71512]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71512/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=54.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00158522 [ 0.30 %]\n", + "Velocity : 0.00395873 [ 0.76 %]\n", + "Force : 0.108179 [ 20.67 %]\n", + "Coefs : 0.0283618 [ 5.42 %]\n", + "Output : 0.00192805 [ 0.37 %]\n", + "Levels : 9.6167e-05 [ 0.02 %]\n", + "Report : 1.77e-07 [ 0.00 %]\n", + "Balance : 1.05e-07 [ 0.00 %]\n", + "Adjust : 0.379252 [ 72.46 %]\n", + "Total : 0.523423 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22917 1696 312 49 13 6 7 \n", + "1 : 22901 1711 310 40 18 7 13 \n", + "2 : 22959 1653 321 38 19 5 5 \n", + "3 : 22931 1685 313 46 9 7 9 \n", + "\n", + "T : 91708 6745 1256 173 59 25 34 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9123e-02 sec\n", + "--- Collate = 1.1600e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.651969e-05 < 1.562500e-03 [17]\n", + "--- Max DT=3.153512e-01 > 1.000000e-01 [71504]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71504/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=54.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00152383 [ 0.30 %]\n", + "Velocity : 0.0044899 [ 0.87 %]\n", + "Force : 0.11213 [ 21.72 %]\n", + "Coefs : 0.0292112 [ 5.66 %]\n", + "Output : 0.00182094 [ 0.35 %]\n", + "Levels : 0.000100057 [ 0.02 %]\n", + "Report : 3.14e-07 [ 0.00 %]\n", + "Balance : 1.25e-07 [ 0.00 %]\n", + "Adjust : 0.36686 [ 71.07 %]\n", + "Total : 0.516191 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22925 1694 308 46 16 3 8 \n", + "1 : 22900 1710 318 38 13 8 13 \n", + "2 : 22950 1662 319 40 19 7 3 \n", + "3 : 22920 1697 313 45 11 8 6 \n", + "\n", + "T : 91695 6763 1258 169 59 26 30 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9427e-02 sec\n", + "--- Collate = 1.1001e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.014323e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.152834e-01 > 1.000000e-01 [71492]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71492/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=54.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00180099 [ 0.35 %]\n", + "Velocity : 0.00377879 [ 0.74 %]\n", + "Force : 0.112965 [ 22.03 %]\n", + "Coefs : 0.0298747 [ 5.83 %]\n", + "Output : 0.00168912 [ 0.33 %]\n", + "Levels : 0.000107823 [ 0.02 %]\n", + "Report : 2.44e-07 [ 0.00 %]\n", + "Balance : 1.1e-07 [ 0.00 %]\n", + "Adjust : 0.362551 [ 70.70 %]\n", + "Total : 0.512824 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22923 1698 305 42 20 3 9 \n", + "1 : 22908 1701 317 42 12 10 10 \n", + "2 : 22941 1669 318 41 15 12 4 \n", + "3 : 22918 1702 306 51 12 5 6 \n", + "\n", + "T : 91690 6770 1246 176 59 30 29 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.3409e-02 sec\n", + "--- Collate = 9.3250e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.580412e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.152126e-01 > 1.000000e-01 [71500]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71500/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=54.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00164567 [ 0.33 %]\n", + "Velocity : 0.00391635 [ 0.78 %]\n", + "Force : 0.101216 [ 20.21 %]\n", + "Coefs : 0.029387 [ 5.87 %]\n", + "Output : 0.00181253 [ 0.36 %]\n", + "Levels : 8.2795e-05 [ 0.02 %]\n", + "Report : 1.6e-07 [ 0.00 %]\n", + "Balance : 1.14e-07 [ 0.00 %]\n", + "Adjust : 0.362597 [ 72.42 %]\n", + "Total : 0.500714 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22924 1699 301 43 21 7 5 \n", + "1 : 22906 1705 316 40 17 9 7 \n", + "2 : 22934 1675 318 42 14 11 6 \n", + "3 : 22921 1696 309 44 19 6 5 \n", + "\n", + "T : 91685 6775 1244 169 71 33 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.1476e-02 sec\n", + "--- Collate = 9.5590e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.920835e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.151387e-01 > 1.000000e-01 [71503]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71503/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=54.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00161933 [ 0.33 %]\n", + "Velocity : 0.00404181 [ 0.83 %]\n", + "Force : 0.109961 [ 22.47 %]\n", + "Coefs : 0.0242217 [ 4.95 %]\n", + "Output : 0.00163535 [ 0.33 %]\n", + "Levels : 9.5456e-05 [ 0.02 %]\n", + "Report : 1.67e-07 [ 0.00 %]\n", + "Balance : 9e-08 [ 0.00 %]\n", + "Adjust : 0.347694 [ 71.06 %]\n", + "Total : 0.48932 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22922 1703 298 42 20 10 5 \n", + "1 : 22901 1714 311 39 21 7 7 \n", + "2 : 22935 1678 316 44 10 5 12 \n", + "3 : 22919 1698 310 45 18 5 5 \n", + "\n", + "T : 91677 6793 1235 170 69 27 29 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.2382e-02 sec\n", + "--- Collate = 9.6350e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.627301e-06 < 1.562500e-03 [19]\n", + "--- Max DT=3.150618e-01 > 1.000000e-01 [71520]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 71520/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=54.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00163123 [ 0.32 %]\n", + "Velocity : 0.00392541 [ 0.77 %]\n", + "Force : 0.110584 [ 21.68 %]\n", + "Coefs : 0.019836 [ 3.89 %]\n", + "Output : 0.00174503 [ 0.34 %]\n", + "Levels : 8.5281e-05 [ 0.02 %]\n", + "Report : 1.97e-07 [ 0.00 %]\n", + "Balance : 1.35e-07 [ 0.00 %]\n", + "Adjust : 0.372171 [ 72.97 %]\n", + "Total : 0.510028 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22920 1703 300 46 14 10 7 \n", + "1 : 22900 1721 309 40 13 10 7 \n", + "2 : 22932 1679 321 40 12 5 11 \n", + "3 : 22926 1690 313 44 17 6 4 \n", + "\n", + "T : 91678 6793 1243 170 56 31 29 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.1549e-02 sec\n", + "--- Collate = 1.0693e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.315470e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.149819e-01 > 1.000000e-01 [71513]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71513/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=54.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00181197 [ 0.38 %]\n", + "Velocity : 0.00402348 [ 0.84 %]\n", + "Force : 0.106783 [ 22.18 %]\n", + "Coefs : 0.0186226 [ 3.87 %]\n", + "Output : 0.00165838 [ 0.34 %]\n", + "Levels : 8.9212e-05 [ 0.02 %]\n", + "Report : 1.78e-07 [ 0.00 %]\n", + "Balance : 1.27e-07 [ 0.00 %]\n", + "Adjust : 0.348411 [ 72.37 %]\n", + "Total : 0.481452 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22920 1708 296 42 15 9 10 \n", + "1 : 22905 1710 310 43 13 10 9 \n", + "2 : 22926 1686 323 37 12 6 10 \n", + "3 : 22908 1705 324 38 16 5 4 \n", + "\n", + "T : 91659 6809 1253 160 56 30 33 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.6103e-02 sec\n", + "--- Collate = 9.4160e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.437193e-05 < 1.562500e-03 [17]\n", + "--- Max DT=3.148989e-01 > 1.000000e-01 [71514]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71514/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=54.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00155161 [ 0.32 %]\n", + "Velocity : 0.00381094 [ 0.78 %]\n", + "Force : 0.093096 [ 19.01 %]\n", + "Coefs : 0.0185208 [ 3.78 %]\n", + "Output : 0.00173606 [ 0.35 %]\n", + "Levels : 8.3761e-05 [ 0.02 %]\n", + "Report : 1.65e-07 [ 0.00 %]\n", + "Balance : 1.01e-07 [ 0.00 %]\n", + "Adjust : 0.370749 [ 75.72 %]\n", + "Total : 0.489607 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22915 1714 300 33 19 5 14 \n", + "1 : 22900 1712 316 41 12 9 10 \n", + "2 : 22919 1698 314 42 10 12 5 \n", + "3 : 22911 1701 327 36 15 6 4 \n", + "\n", + "T : 91645 6825 1257 152 56 32 33 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.1176e-02 sec\n", + "--- Collate = 9.0140e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.247234e-04 < 1.562500e-03 [23]\n", + "--- Max DT=3.148126e-01 > 1.000000e-01 [71549]\n", + "----------------------------------------------------------------------\n", + " Component | low: 23/100000\n", + " Component | high: 71549/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=55] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00214462 [ 0.35 %]\n", + "Velocity : 0.00441745 [ 0.73 %]\n", + "Force : 0.109653 [ 18.06 %]\n", + "Coefs : 0.0242715 [ 4.00 %]\n", + "Output : 0.108323 [ 17.84 %]\n", + "Levels : 0.00010762 [ 0.02 %]\n", + "Report : 8.36e-07 [ 0.00 %]\n", + "Balance : 3.06e-07 [ 0.00 %]\n", + "Adjust : 0.358349 [ 59.00 %]\n", + "Total : 0.60732 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22921 1707 298 38 17 7 12 \n", + "1 : 22899 1710 315 43 16 5 12 \n", + "2 : 22913 1702 317 37 20 7 4 \n", + "3 : 22902 1707 329 41 13 3 5 \n", + "\n", + "T : 91635 6826 1259 159 66 22 33 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.7590e-02 sec\n", + "--- Collate = 9.7480e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.049361e-05 < 1.562500e-03 [19]\n", + "--- Max DT=3.147230e-01 > 1.000000e-01 [71552]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 71552/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=55.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00166079 [ 0.31 %]\n", + "Velocity : 0.00438646 [ 0.82 %]\n", + "Force : 0.108915 [ 20.42 %]\n", + "Coefs : 0.0500574 [ 9.39 %]\n", + "Output : 0.00189714 [ 0.36 %]\n", + "Levels : 8.3659e-05 [ 0.02 %]\n", + "Report : 2.13e-07 [ 0.00 %]\n", + "Balance : 9.1e-08 [ 0.00 %]\n", + "Adjust : 0.366295 [ 68.68 %]\n", + "Total : 0.533351 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22913 1711 305 32 13 15 11 \n", + "1 : 22899 1708 316 46 14 8 9 \n", + "2 : 22919 1696 322 34 18 6 5 \n", + "3 : 22897 1712 330 41 14 2 4 \n", + "\n", + "T : 91628 6827 1273 153 59 31 29 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.5526e-02 sec\n", + "--- Collate = 1.1705e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.797909e-04 < 1.562500e-03 [8]\n", + "--- Max DT=3.146304e-01 > 1.000000e-01 [71546]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71546/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=55.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00154766 [ 0.31 %]\n", + "Velocity : 0.00415206 [ 0.84 %]\n", + "Force : 0.0961709 [ 19.40 %]\n", + "Coefs : 0.0190531 [ 3.84 %]\n", + "Output : 0.00178838 [ 0.36 %]\n", + "Levels : 0.00010752 [ 0.02 %]\n", + "Report : 1.65e-07 [ 0.00 %]\n", + "Balance : 8.6e-08 [ 0.00 %]\n", + "Adjust : 0.372835 [ 75.21 %]\n", + "Total : 0.495711 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22907 1718 303 33 17 10 12 \n", + "1 : 22893 1713 316 47 15 9 7 \n", + "2 : 22924 1693 320 34 20 5 4 \n", + "3 : 22892 1722 327 36 16 4 3 \n", + "\n", + "T : 91616 6846 1266 150 68 28 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9978e-02 sec\n", + "--- Collate = 1.2440e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.786128e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.145345e-01 > 1.000000e-01 [71552]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71552/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=55.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00169218 [ 0.35 %]\n", + "Velocity : 0.00495114 [ 1.02 %]\n", + "Force : 0.0920507 [ 18.94 %]\n", + "Coefs : 0.0197169 [ 4.06 %]\n", + "Output : 0.0018414 [ 0.38 %]\n", + "Levels : 0.000140894 [ 0.03 %]\n", + "Report : 2.98e-07 [ 0.00 %]\n", + "Balance : 1.6e-07 [ 0.00 %]\n", + "Adjust : 0.365475 [ 75.21 %]\n", + "Total : 0.485925 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22896 1727 304 38 16 5 14 \n", + "1 : 22894 1714 317 39 24 8 4 \n", + "2 : 22940 1675 317 39 18 7 4 \n", + "3 : 22896 1716 330 37 11 8 2 \n", + "\n", + "T : 91626 6832 1268 153 69 28 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9295e-02 sec\n", + "--- Collate = 1.5378e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.118018e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.144353e-01 > 1.000000e-01 [71572]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71572/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=55.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0017415 [ 0.34 %]\n", + "Velocity : 0.004684 [ 0.91 %]\n", + "Force : 0.112992 [ 21.88 %]\n", + "Coefs : 0.0243141 [ 4.71 %]\n", + "Output : 0.001855 [ 0.36 %]\n", + "Levels : 0.000121919 [ 0.02 %]\n", + "Report : 1.81e-07 [ 0.00 %]\n", + "Balance : 1.71e-07 [ 0.00 %]\n", + "Adjust : 0.370736 [ 71.78 %]\n", + "Total : 0.516499 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22897 1723 310 33 16 7 14 \n", + "1 : 22898 1708 317 40 27 4 6 \n", + "2 : 22938 1678 318 37 17 7 5 \n", + "3 : 22892 1723 325 40 11 5 4 \n", + "\n", + "T : 91625 6832 1270 150 71 23 29 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.7343e-02 sec\n", + "--- Collate = 1.5826e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.391554e-06 < 1.562500e-03 [16]\n", + "--- Max DT=3.143329e-01 > 1.000000e-01 [71548]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71548/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=55.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00188763 [ 0.37 %]\n", + "Velocity : 0.00484826 [ 0.94 %]\n", + "Force : 0.112564 [ 21.87 %]\n", + "Coefs : 0.0268815 [ 5.22 %]\n", + "Output : 0.00184589 [ 0.36 %]\n", + "Levels : 0.000118341 [ 0.02 %]\n", + "Report : 2.6e-07 [ 0.00 %]\n", + "Balance : 1.53e-07 [ 0.00 %]\n", + "Adjust : 0.366592 [ 71.21 %]\n", + "Total : 0.514792 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22904 1714 314 29 16 12 11 \n", + "1 : 22892 1710 324 39 20 10 5 \n", + "2 : 22936 1680 315 40 14 7 8 \n", + "3 : 22889 1721 329 42 9 4 6 \n", + "\n", + "T : 91621 6825 1282 150 59 33 30 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.1352e-02 sec\n", + "--- Collate = 1.0098e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.113577e-05 < 1.562500e-03 [17]\n", + "--- Max DT=3.142271e-01 > 1.000000e-01 [71554]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71554/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=55.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00200629 [ 0.40 %]\n", + "Velocity : 0.00450354 [ 0.90 %]\n", + "Force : 0.111163 [ 22.23 %]\n", + "Coefs : 0.0261045 [ 5.22 %]\n", + "Output : 0.00187776 [ 0.38 %]\n", + "Levels : 0.000107837 [ 0.02 %]\n", + "Report : 1.48e-07 [ 0.00 %]\n", + "Balance : 1.33e-07 [ 0.00 %]\n", + "Adjust : 0.354339 [ 70.85 %]\n", + "Total : 0.500159 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22897 1722 312 32 16 13 8 \n", + "1 : 22895 1698 333 39 19 10 6 \n", + "2 : 22937 1677 320 37 11 9 9 \n", + "3 : 22886 1721 329 46 8 3 7 \n", + "\n", + "T : 91615 6818 1294 154 54 35 30 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.1444e-02 sec\n", + "--- Collate = 1.0007e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.106136e-05 < 1.562500e-03 [19]\n", + "--- Max DT=3.141182e-01 > 1.000000e-01 [71541]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 71541/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=55.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00169841 [ 0.33 %]\n", + "Velocity : 0.00400453 [ 0.77 %]\n", + "Force : 0.112044 [ 21.67 %]\n", + "Coefs : 0.02123 [ 4.11 %]\n", + "Output : 0.00188185 [ 0.36 %]\n", + "Levels : 9.0662e-05 [ 0.02 %]\n", + "Report : 1.66e-07 [ 0.00 %]\n", + "Balance : 1.71e-07 [ 0.00 %]\n", + "Adjust : 0.37605 [ 72.73 %]\n", + "Total : 0.517055 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22890 1729 313 35 15 10 8 \n", + "1 : 22900 1695 331 43 11 10 10 \n", + "2 : 22940 1674 323 35 11 8 9 \n", + "3 : 22879 1717 341 44 8 5 6 \n", + "\n", + "T : 91609 6815 1308 157 45 33 33 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0151e-02 sec\n", + "--- Collate = 1.2861e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.837455e-05 < 1.562500e-03 [18]\n", + "--- Max DT=3.140061e-01 > 1.000000e-01 [71538]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 71538/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=55.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00152148 [ 0.31 %]\n", + "Velocity : 0.00382629 [ 0.78 %]\n", + "Force : 0.0933474 [ 19.00 %]\n", + "Coefs : 0.0185681 [ 3.78 %]\n", + "Output : 0.00166653 [ 0.34 %]\n", + "Levels : 9.18e-05 [ 0.02 %]\n", + "Report : 1.68e-07 [ 0.00 %]\n", + "Balance : 8.8e-08 [ 0.00 %]\n", + "Adjust : 0.372287 [ 75.77 %]\n", + "Total : 0.491365 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22889 1729 313 40 11 9 9 \n", + "1 : 22908 1685 331 46 11 8 11 \n", + "2 : 22943 1672 322 36 12 8 7 \n", + "3 : 22882 1714 343 41 12 2 6 \n", + "\n", + "T : 91622 6800 1309 163 46 27 33 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0977e-02 sec\n", + "--- Collate = 1.1910e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.228397e-05 < 1.562500e-03 [17]\n", + "--- Max DT=3.138908e-01 > 1.000000e-01 [71540]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71540/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=55.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00181255 [ 0.36 %]\n", + "Velocity : 0.00420126 [ 0.84 %]\n", + "Force : 0.110847 [ 22.09 %]\n", + "Coefs : 0.025866 [ 5.16 %]\n", + "Output : 0.00170135 [ 0.34 %]\n", + "Levels : 8.8212e-05 [ 0.02 %]\n", + "Report : 1.66e-07 [ 0.00 %]\n", + "Balance : 1.1e-07 [ 0.00 %]\n", + "Adjust : 0.357173 [ 71.19 %]\n", + "Total : 0.501743 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22894 1723 312 40 15 7 9 \n", + "1 : 22904 1693 334 39 14 4 12 \n", + "2 : 22938 1675 326 31 14 10 6 \n", + "3 : 22882 1707 349 40 14 3 5 \n", + "\n", + "T : 91618 6798 1321 150 57 24 32 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0939e-02 sec\n", + "--- Collate = 9.7100e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.233053e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.137726e-01 > 1.000000e-01 [71550]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71550/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=56] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00162303 [ 0.27 %]\n", + "Velocity : 0.00430692 [ 0.71 %]\n", + "Force : 0.108116 [ 17.83 %]\n", + "Coefs : 0.0177751 [ 2.93 %]\n", + "Output : 0.12014 [ 19.81 %]\n", + "Levels : 0.000112588 [ 0.02 %]\n", + "Report : 5.12e-07 [ 0.00 %]\n", + "Balance : 3.55e-07 [ 0.00 %]\n", + "Adjust : 0.354336 [ 58.43 %]\n", + "Total : 0.606466 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22894 1716 315 41 19 7 8 \n", + "1 : 22895 1703 334 42 9 9 8 \n", + "2 : 22932 1678 330 32 15 8 5 \n", + "3 : 22880 1709 353 34 16 3 5 \n", + "\n", + "T : 91601 6806 1332 149 59 27 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0007e-02 sec\n", + "--- Collate = 1.3904e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.789472e-06 < 1.562500e-03 [11]\n", + "--- Max DT=3.136514e-01 > 1.000000e-01 [71540]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71540/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=56.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00131592 [ 0.25 %]\n", + "Velocity : 0.00849255 [ 1.63 %]\n", + "Force : 0.111254 [ 21.38 %]\n", + "Coefs : 0.0251798 [ 4.84 %]\n", + "Output : 0.00180443 [ 0.35 %]\n", + "Levels : 0.000113268 [ 0.02 %]\n", + "Report : 1.68e-07 [ 0.00 %]\n", + "Balance : 1.33e-07 [ 0.00 %]\n", + "Adjust : 0.372057 [ 71.51 %]\n", + "Total : 0.520273 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22887 1718 319 43 18 10 5 \n", + "1 : 22892 1708 338 37 12 9 4 \n", + "2 : 22930 1678 326 35 16 7 8 \n", + "3 : 22883 1707 351 36 12 7 4 \n", + "\n", + "T : 91592 6811 1334 151 58 33 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9457e-02 sec\n", + "--- Collate = 1.1194e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.399212e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.135274e-01 > 1.000000e-01 [71521]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71521/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=56.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00169654 [ 0.33 %]\n", + "Velocity : 0.00419025 [ 0.81 %]\n", + "Force : 0.112713 [ 21.74 %]\n", + "Coefs : 0.0285963 [ 5.52 %]\n", + "Output : 0.00174178 [ 0.34 %]\n", + "Levels : 0.000118683 [ 0.02 %]\n", + "Report : 1.67e-07 [ 0.00 %]\n", + "Balance : 1.04e-07 [ 0.00 %]\n", + "Adjust : 0.369252 [ 71.23 %]\n", + "Total : 0.518365 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22887 1720 315 46 19 10 3 \n", + "1 : 22890 1716 335 36 12 6 5 \n", + "2 : 22924 1681 327 37 14 8 9 \n", + "3 : 22870 1712 361 34 14 4 5 \n", + "\n", + "T : 91571 6829 1338 153 59 28 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.4087e-02 sec\n", + "--- Collate = 1.0294e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.493808e-05 < 1.562500e-03 [17]\n", + "--- Max DT=3.134005e-01 > 1.000000e-01 [71515]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71515/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=56.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0016051 [ 0.31 %]\n", + "Velocity : 0.0044386 [ 0.86 %]\n", + "Force : 0.112285 [ 21.68 %]\n", + "Coefs : 0.030041 [ 5.80 %]\n", + "Output : 0.0017114 [ 0.33 %]\n", + "Levels : 7.8535e-05 [ 0.02 %]\n", + "Report : 1.78e-07 [ 0.00 %]\n", + "Balance : 1.11e-07 [ 0.00 %]\n", + "Adjust : 0.367809 [ 71.00 %]\n", + "Total : 0.518026 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22885 1720 318 44 20 8 5 \n", + "1 : 22886 1714 335 41 12 4 8 \n", + "2 : 22916 1690 326 37 15 6 10 \n", + "3 : 22877 1699 366 35 11 6 6 \n", + "\n", + "T : 91564 6823 1345 157 58 24 29 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0855e-02 sec\n", + "--- Collate = 8.6210e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.107452e-04 < 1.562500e-03 [16]\n", + "--- Max DT=3.132706e-01 > 1.000000e-01 [71530]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71530/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=56.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00163926 [ 0.32 %]\n", + "Velocity : 0.00407905 [ 0.80 %]\n", + "Force : 0.113304 [ 22.21 %]\n", + "Coefs : 0.0251753 [ 4.93 %]\n", + "Output : 0.00176414 [ 0.35 %]\n", + "Levels : 8.6562e-05 [ 0.02 %]\n", + "Report : 1.61e-07 [ 0.00 %]\n", + "Balance : 9.6e-08 [ 0.00 %]\n", + "Adjust : 0.364142 [ 71.37 %]\n", + "Total : 0.510246 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22879 1728 318 44 18 7 6 \n", + "1 : 22886 1713 338 37 10 8 8 \n", + "2 : 22906 1700 328 39 12 7 8 \n", + "3 : 22879 1697 364 36 13 7 4 \n", + "\n", + "T : 91550 6838 1348 156 53 29 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.8473e-02 sec\n", + "--- Collate = 1.5345e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.222953e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.131376e-01 > 1.000000e-01 [71505]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71505/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=56.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00157518 [ 0.30 %]\n", + "Velocity : 0.00499261 [ 0.96 %]\n", + "Force : 0.111108 [ 21.43 %]\n", + "Coefs : 0.0248559 [ 4.79 %]\n", + "Output : 0.00175623 [ 0.34 %]\n", + "Levels : 0.000102794 [ 0.02 %]\n", + "Report : 2.68e-07 [ 0.00 %]\n", + "Balance : 1.73e-07 [ 0.00 %]\n", + "Adjust : 0.37414 [ 72.15 %]\n", + "Total : 0.518585 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22876 1733 314 48 14 6 9 \n", + "1 : 22897 1701 340 38 8 6 10 \n", + "2 : 22905 1697 331 42 10 10 5 \n", + "3 : 22876 1704 357 41 11 5 6 \n", + "\n", + "T : 91554 6835 1342 169 43 27 30 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9868e-02 sec\n", + "--- Collate = 1.1561e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.635526e-06 < 1.562500e-03 [13]\n", + "--- Max DT=3.130015e-01 > 1.000000e-01 [71486]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71486/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=56.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00189459 [ 0.37 %]\n", + "Velocity : 0.0045412 [ 0.89 %]\n", + "Force : 0.103304 [ 20.16 %]\n", + "Coefs : 0.0284586 [ 5.55 %]\n", + "Output : 0.00172962 [ 0.34 %]\n", + "Levels : 0.000103923 [ 0.02 %]\n", + "Report : 2.65e-07 [ 0.00 %]\n", + "Balance : 1.29e-07 [ 0.00 %]\n", + "Adjust : 0.372452 [ 72.67 %]\n", + "Total : 0.512538 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22875 1731 321 45 13 8 7 \n", + "1 : 22903 1696 336 38 10 7 10 \n", + "2 : 22898 1695 336 44 15 9 3 \n", + "3 : 22882 1699 358 35 14 5 7 \n", + "\n", + "T : 91558 6821 1351 162 52 29 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.7328e-02 sec\n", + "--- Collate = 1.3838e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.113122e-06 < 1.562500e-03 [9]\n", + "--- Max DT=3.128622e-01 > 1.000000e-01 [71456]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71456/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=56.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0016578 [ 0.32 %]\n", + "Velocity : 0.00450929 [ 0.86 %]\n", + "Force : 0.109711 [ 21.05 %]\n", + "Coefs : 0.028039 [ 5.38 %]\n", + "Output : 0.00190825 [ 0.37 %]\n", + "Levels : 0.000149214 [ 0.03 %]\n", + "Report : 2.52e-07 [ 0.00 %]\n", + "Balance : 1.95e-07 [ 0.00 %]\n", + "Adjust : 0.375269 [ 71.99 %]\n", + "Total : 0.521306 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22877 1727 326 41 16 6 7 \n", + "1 : 22901 1696 336 37 14 8 8 \n", + "2 : 22896 1699 338 36 20 6 5 \n", + "3 : 22872 1715 349 39 12 7 6 \n", + "\n", + "T : 91546 6837 1349 153 62 27 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.3616e-02 sec\n", + "--- Collate = 1.1956e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.316849e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.127200e-01 > 1.000000e-01 [71443]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71443/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=56.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00164076 [ 0.32 %]\n", + "Velocity : 0.0048831 [ 0.95 %]\n", + "Force : 0.11104 [ 21.60 %]\n", + "Coefs : 0.0259898 [ 5.06 %]\n", + "Output : 0.00174762 [ 0.34 %]\n", + "Levels : 9.1693e-05 [ 0.02 %]\n", + "Report : 1.63e-07 [ 0.00 %]\n", + "Balance : 7.9e-08 [ 0.00 %]\n", + "Adjust : 0.368678 [ 71.71 %]\n", + "Total : 0.514129 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22881 1728 318 39 22 4 8 \n", + "1 : 22893 1704 338 34 14 11 6 \n", + "2 : 22893 1702 340 32 16 10 7 \n", + "3 : 22875 1720 333 45 15 7 5 \n", + "\n", + "T : 91542 6854 1329 150 67 32 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.1279e-02 sec\n", + "--- Collate = 9.7280e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.239550e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.125747e-01 > 1.000000e-01 [71436]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71436/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=56.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00160068 [ 0.32 %]\n", + "Velocity : 0.00409085 [ 0.82 %]\n", + "Force : 0.11198 [ 22.37 %]\n", + "Coefs : 0.01859 [ 3.71 %]\n", + "Output : 0.00171298 [ 0.34 %]\n", + "Levels : 8.0977e-05 [ 0.02 %]\n", + "Report : 1.66e-07 [ 0.00 %]\n", + "Balance : 9.2e-08 [ 0.00 %]\n", + "Adjust : 0.362563 [ 72.42 %]\n", + "Total : 0.500672 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22873 1729 323 48 15 5 7 \n", + "1 : 22897 1703 332 40 14 7 7 \n", + "2 : 22884 1711 339 35 13 6 12 \n", + "3 : 22879 1718 332 40 21 5 5 \n", + "\n", + "T : 91533 6861 1326 163 63 23 31 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.2515e-02 sec\n", + "--- Collate = 1.2064e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.799518e-06 < 1.562500e-03 [18]\n", + "--- Max DT=3.124265e-01 > 1.000000e-01 [71438]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 71438/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=57] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00154197 [ 0.25 %]\n", + "Velocity : 0.00387944 [ 0.63 %]\n", + "Force : 0.107352 [ 17.53 %]\n", + "Coefs : 0.0181311 [ 2.96 %]\n", + "Output : 0.11665 [ 19.05 %]\n", + "Levels : 0.000176711 [ 0.03 %]\n", + "Report : 4.68e-07 [ 0.00 %]\n", + "Balance : 3.38e-07 [ 0.00 %]\n", + "Adjust : 0.364491 [ 59.53 %]\n", + "Total : 0.612284 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22894 1706 323 48 18 5 6 \n", + "1 : 22897 1703 332 39 18 5 6 \n", + "2 : 22882 1715 339 32 14 5 13 \n", + "3 : 22876 1725 327 42 21 4 5 \n", + "\n", + "T : 91549 6849 1321 161 71 19 30 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9390e-02 sec\n", + "--- Collate = 1.2702e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.215492e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.122753e-01 > 1.000000e-01 [71434]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71434/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=57.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00165816 [ 0.32 %]\n", + "Velocity : 0.0103258 [ 1.96 %]\n", + "Force : 0.112498 [ 21.41 %]\n", + "Coefs : 0.0308979 [ 5.88 %]\n", + "Output : 0.00195925 [ 0.37 %]\n", + "Levels : 0.000127464 [ 0.02 %]\n", + "Report : 1.73e-07 [ 0.00 %]\n", + "Balance : 1.08e-07 [ 0.00 %]\n", + "Adjust : 0.367981 [ 70.02 %]\n", + "Total : 0.525508 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22897 1699 328 50 16 6 4 \n", + "1 : 22907 1691 325 45 16 6 10 \n", + "2 : 22883 1717 336 34 14 5 11 \n", + "3 : 22874 1728 327 41 15 10 5 \n", + "\n", + "T : 91561 6835 1316 170 61 27 30 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0806e-02 sec\n", + "--- Collate = 9.7110e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.912628e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.121212e-01 > 1.000000e-01 [71439]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71439/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=57.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00184593 [ 0.39 %]\n", + "Velocity : 0.00423765 [ 0.89 %]\n", + "Force : 0.105618 [ 22.29 %]\n", + "Coefs : 0.028798 [ 6.08 %]\n", + "Output : 0.00175176 [ 0.37 %]\n", + "Levels : 8.3028e-05 [ 0.02 %]\n", + "Report : 1.41e-07 [ 0.00 %]\n", + "Balance : 8.6e-08 [ 0.00 %]\n", + "Adjust : 0.331489 [ 69.95 %]\n", + "Total : 0.473881 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22897 1702 324 52 14 8 3 \n", + "1 : 22904 1688 326 51 14 7 10 \n", + "2 : 22882 1720 330 37 13 11 7 \n", + "3 : 22871 1725 328 43 18 7 8 \n", + "\n", + "T : 91554 6835 1308 183 59 33 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9776e-02 sec\n", + "--- Collate = 1.1731e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.822370e-06 < 1.562500e-03 [13]\n", + "--- Max DT=3.119644e-01 > 1.000000e-01 [71440]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71440/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=57.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00149095 [ 0.30 %]\n", + "Velocity : 0.00447339 [ 0.90 %]\n", + "Force : 0.0938209 [ 18.84 %]\n", + "Coefs : 0.0178277 [ 3.58 %]\n", + "Output : 0.0019434 [ 0.39 %]\n", + "Levels : 0.000128508 [ 0.03 %]\n", + "Report : 2.07e-07 [ 0.00 %]\n", + "Balance : 1.74e-07 [ 0.00 %]\n", + "Adjust : 0.378246 [ 75.95 %]\n", + "Total : 0.497993 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22889 1713 325 47 16 6 4 \n", + "1 : 22896 1697 324 52 12 8 11 \n", + "2 : 22876 1728 334 30 18 8 6 \n", + "3 : 22871 1725 329 44 15 7 9 \n", + "\n", + "T : 91532 6863 1312 173 61 29 30 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.1470e-02 sec\n", + "--- Collate = 9.6730e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.293109e-06 < 1.562500e-03 [16]\n", + "--- Max DT=3.118047e-01 > 1.000000e-01 [71440]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71440/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=57.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00197096 [ 0.39 %]\n", + "Velocity : 0.00460396 [ 0.91 %]\n", + "Force : 0.105008 [ 20.85 %]\n", + "Coefs : 0.0249741 [ 4.96 %]\n", + "Output : 0.0018606 [ 0.37 %]\n", + "Levels : 8.6654e-05 [ 0.02 %]\n", + "Report : 1.55e-07 [ 0.00 %]\n", + "Balance : 1.12e-07 [ 0.00 %]\n", + "Adjust : 0.364954 [ 72.48 %]\n", + "Total : 0.503514 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22890 1714 328 46 11 7 4 \n", + "1 : 22910 1682 326 50 10 10 12 \n", + "2 : 22876 1733 327 36 14 7 7 \n", + "3 : 22871 1722 326 48 18 6 9 \n", + "\n", + "T : 91547 6851 1307 180 53 30 32 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.8454e-02 sec\n", + "--- Collate = 1.3565e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.801061e-06 < 1.562500e-03 [15]\n", + "--- Max DT=3.116422e-01 > 1.000000e-01 [71430]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71430/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=57.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00142169 [ 0.28 %]\n", + "Velocity : 0.00508142 [ 1.00 %]\n", + "Force : 0.110429 [ 21.69 %]\n", + "Coefs : 0.0201655 [ 3.96 %]\n", + "Output : 0.00172935 [ 0.34 %]\n", + "Levels : 0.000128579 [ 0.03 %]\n", + "Report : 1.65e-07 [ 0.00 %]\n", + "Balance : 1.71e-07 [ 0.00 %]\n", + "Adjust : 0.370104 [ 72.70 %]\n", + "Total : 0.509112 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22889 1720 320 52 8 4 7 \n", + "1 : 22907 1683 335 38 17 7 13 \n", + "2 : 22874 1728 335 31 15 11 6 \n", + "3 : 22866 1729 330 43 14 10 8 \n", + "\n", + "T : 91536 6860 1320 164 54 32 34 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9717e-02 sec\n", + "--- Collate = 1.0601e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.328809e-05 < 1.562500e-03 [19]\n", + "--- Max DT=3.114770e-01 > 1.000000e-01 [71432]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 71432/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=57.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0016173 [ 0.31 %]\n", + "Velocity : 0.00442095 [ 0.84 %]\n", + "Force : 0.11343 [ 21.66 %]\n", + "Coefs : 0.0305358 [ 5.83 %]\n", + "Output : 0.00175835 [ 0.34 %]\n", + "Levels : 0.000129769 [ 0.02 %]\n", + "Report : 2.86e-07 [ 0.00 %]\n", + "Balance : 1.4e-07 [ 0.00 %]\n", + "Adjust : 0.371778 [ 70.99 %]\n", + "Total : 0.523728 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22884 1719 327 46 11 5 8 \n", + "1 : 22898 1688 334 41 22 4 13 \n", + "2 : 22882 1720 334 28 17 8 11 \n", + "3 : 22858 1730 335 43 15 10 9 \n", + "\n", + "T : 91522 6857 1330 158 65 27 41 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.8249e-02 sec\n", + "--- Collate = 1.6759e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.232328e-05 < 1.562500e-03 [25]\n", + "--- Max DT=3.113091e-01 > 1.000000e-01 [71422]\n", + "----------------------------------------------------------------------\n", + " Component | low: 25/100000\n", + " Component | high: 71422/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=57.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00171205 [ 0.33 %]\n", + "Velocity : 0.00468068 [ 0.91 %]\n", + "Force : 0.102235 [ 19.82 %]\n", + "Coefs : 0.0290402 [ 5.63 %]\n", + "Output : 0.00185332 [ 0.36 %]\n", + "Levels : 0.000127841 [ 0.02 %]\n", + "Report : 2.43e-07 [ 0.00 %]\n", + "Balance : 1.69e-07 [ 0.00 %]\n", + "Adjust : 0.376081 [ 72.91 %]\n", + "Total : 0.515789 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22881 1718 331 46 11 7 6 \n", + "1 : 22896 1687 334 50 16 9 8 \n", + "2 : 22879 1722 333 31 17 6 12 \n", + "3 : 22863 1726 337 42 16 5 11 \n", + "\n", + "T : 91519 6853 1335 169 60 27 37 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.8364e-02 sec\n", + "--- Collate = 1.4291e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.831822e-04 < 1.562500e-03 [11]\n", + "--- Max DT=3.111385e-01 > 1.000000e-01 [71431]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71431/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=57.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00224259 [ 0.43 %]\n", + "Velocity : 0.00588384 [ 1.12 %]\n", + "Force : 0.110913 [ 21.11 %]\n", + "Coefs : 0.0266433 [ 5.07 %]\n", + "Output : 0.00189367 [ 0.36 %]\n", + "Levels : 0.000130933 [ 0.02 %]\n", + "Report : 2.5e-07 [ 0.00 %]\n", + "Balance : 1.59e-07 [ 0.00 %]\n", + "Adjust : 0.377595 [ 71.87 %]\n", + "Total : 0.525362 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22867 1731 334 46 6 9 7 \n", + "1 : 22892 1691 333 52 17 12 3 \n", + "2 : 22865 1734 336 32 13 6 14 \n", + "3 : 22865 1727 337 38 16 8 9 \n", + "\n", + "T : 91489 6883 1340 168 52 35 33 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.2364e-02 sec\n", + "--- Collate = 1.0950e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.261454e-04 < 1.562500e-03 [12]\n", + "--- Max DT=3.109653e-01 > 1.000000e-01 [71442]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71442/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=57.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0019834 [ 0.38 %]\n", + "Velocity : 0.00459168 [ 0.89 %]\n", + "Force : 0.112776 [ 21.87 %]\n", + "Coefs : 0.0270623 [ 5.25 %]\n", + "Output : 0.00187646 [ 0.36 %]\n", + "Levels : 0.000116212 [ 0.02 %]\n", + "Report : 1.53e-07 [ 0.00 %]\n", + "Balance : 1.68e-07 [ 0.00 %]\n", + "Adjust : 0.367256 [ 71.21 %]\n", + "Total : 0.515723 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22873 1722 343 36 10 9 7 \n", + "1 : 22889 1691 339 47 24 7 3 \n", + "2 : 22876 1723 338 31 10 15 7 \n", + "3 : 22864 1731 334 41 16 5 9 \n", + "\n", + "T : 91502 6867 1354 155 60 36 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.2691e-02 sec\n", + "--- Collate = 1.0183e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.383551e-06 < 1.562500e-03 [21]\n", + "--- Max DT=3.108988e-01 > 1.000000e-01 [71437]\n", + "----------------------------------------------------------------------\n", + " Component | low: 21/100000\n", + " Component | high: 71437/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=58] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00156897 [ 0.26 %]\n", + "Velocity : 0.0043276 [ 0.72 %]\n", + "Force : 0.11214 [ 18.54 %]\n", + "Coefs : 0.0253963 [ 4.20 %]\n", + "Output : 0.102161 [ 16.89 %]\n", + "Levels : 8.9935e-05 [ 0.01 %]\n", + "Report : 5.91e-07 [ 0.00 %]\n", + "Balance : 2.53e-07 [ 0.00 %]\n", + "Adjust : 0.359113 [ 59.37 %]\n", + "Total : 0.60485 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22864 1732 342 37 13 2 10 \n", + "1 : 22879 1704 340 45 25 1 6 \n", + "2 : 22874 1728 336 33 13 6 10 \n", + "3 : 22863 1732 337 42 13 5 8 \n", + "\n", + "T : 91480 6896 1355 157 64 14 34 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.8606e-02 sec\n", + "--- Collate = 1.2858e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.937403e-05 < 1.562500e-03 [18]\n", + "--- Max DT=3.110144e-01 > 1.000000e-01 [71453]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 71453/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=58.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00207789 [ 0.39 %]\n", + "Velocity : 0.00472941 [ 0.89 %]\n", + "Force : 0.112591 [ 21.29 %]\n", + "Coefs : 0.0421817 [ 7.98 %]\n", + "Output : 0.00190609 [ 0.36 %]\n", + "Levels : 0.000110667 [ 0.02 %]\n", + "Report : 1.82e-07 [ 0.00 %]\n", + "Balance : 1.25e-07 [ 0.00 %]\n", + "Adjust : 0.365102 [ 69.05 %]\n", + "Total : 0.528755 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22867 1724 346 36 13 6 8 \n", + "1 : 22877 1707 342 45 18 4 7 \n", + "2 : 22886 1711 345 29 16 6 7 \n", + "3 : 22855 1744 336 38 16 4 7 \n", + "\n", + "T : 91485 6886 1369 148 63 20 29 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0724e-02 sec\n", + "--- Collate = 9.3750e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.344630e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.111273e-01 > 1.000000e-01 [71435]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71435/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=58.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00197165 [ 0.39 %]\n", + "Velocity : 0.00454426 [ 0.90 %]\n", + "Force : 0.114246 [ 22.57 %]\n", + "Coefs : 0.0292085 [ 5.77 %]\n", + "Output : 0.00190183 [ 0.38 %]\n", + "Levels : 8.9267e-05 [ 0.02 %]\n", + "Report : 2.37e-07 [ 0.00 %]\n", + "Balance : 9.8e-08 [ 0.00 %]\n", + "Adjust : 0.354266 [ 69.97 %]\n", + "Total : 0.506287 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22860 1726 349 42 7 11 5 \n", + "1 : 22878 1703 346 47 12 8 6 \n", + "2 : 22883 1716 343 29 15 8 6 \n", + "3 : 22842 1763 331 39 9 10 6 \n", + "\n", + "T : 91463 6908 1369 157 43 37 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.8582e-02 sec\n", + "--- Collate = 1.9117e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.431424e-05 < 1.562500e-03 [6]\n", + "--- Max DT=3.112371e-01 > 1.000000e-01 [71436]\n", + "----------------------------------------------------------------------\n", + " Component | low: 6/100000\n", + " Component | high: 71436/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=58.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00151443 [ 0.30 %]\n", + "Velocity : 0.00384154 [ 0.77 %]\n", + "Force : 0.0986128 [ 19.85 %]\n", + "Coefs : 0.0179013 [ 3.60 %]\n", + "Output : 0.00169033 [ 0.34 %]\n", + "Levels : 8.9374e-05 [ 0.02 %]\n", + "Report : 2.59e-07 [ 0.00 %]\n", + "Balance : 1.2e-07 [ 0.00 %]\n", + "Adjust : 0.373131 [ 75.10 %]\n", + "Total : 0.496833 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22854 1728 354 39 10 9 6 \n", + "1 : 22881 1697 346 48 17 6 5 \n", + "2 : 22873 1722 347 27 18 9 4 \n", + "3 : 22845 1761 328 42 8 8 8 \n", + "\n", + "T : 91453 6908 1375 156 53 32 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9029e-02 sec\n", + "--- Collate = 1.5984e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.761526e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.113439e-01 > 1.000000e-01 [71436]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71436/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=58.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00165854 [ 0.32 %]\n", + "Velocity : 0.00428062 [ 0.83 %]\n", + "Force : 0.103747 [ 20.24 %]\n", + "Coefs : 0.0264911 [ 5.17 %]\n", + "Output : 0.00163816 [ 0.32 %]\n", + "Levels : 0.000114107 [ 0.02 %]\n", + "Report : 1.38e-07 [ 0.00 %]\n", + "Balance : 1.15e-07 [ 0.00 %]\n", + "Adjust : 0.3747 [ 73.09 %]\n", + "Total : 0.512682 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22848 1735 354 40 13 5 5 \n", + "1 : 22886 1689 356 44 12 7 6 \n", + "2 : 22879 1714 342 35 19 5 6 \n", + "3 : 22834 1768 329 43 11 7 8 \n", + "\n", + "T : 91447 6906 1381 162 55 24 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9583e-02 sec\n", + "--- Collate = 1.0665e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.037126e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.114481e-01 > 1.000000e-01 [71435]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71435/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=58.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00187558 [ 0.37 %]\n", + "Velocity : 0.00425479 [ 0.83 %]\n", + "Force : 0.100792 [ 19.67 %]\n", + "Coefs : 0.0213142 [ 4.16 %]\n", + "Output : 0.00171609 [ 0.33 %]\n", + "Levels : 9.0911e-05 [ 0.02 %]\n", + "Report : 1.64e-07 [ 0.00 %]\n", + "Balance : 1.11e-07 [ 0.00 %]\n", + "Adjust : 0.382387 [ 74.61 %]\n", + "Total : 0.512486 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22850 1735 354 41 9 5 6 \n", + "1 : 22878 1689 360 46 10 8 9 \n", + "2 : 22876 1712 345 42 14 3 8 \n", + "3 : 22821 1777 331 45 11 5 10 \n", + "\n", + "T : 91425 6913 1390 174 44 21 33 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0399e-02 sec\n", + "--- Collate = 1.0669e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.047992e-05 < 1.562500e-03 [18]\n", + "--- Max DT=3.115498e-01 > 1.000000e-01 [71444]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 71444/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=58.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00205731 [ 0.41 %]\n", + "Velocity : 0.00427392 [ 0.84 %]\n", + "Force : 0.102701 [ 20.24 %]\n", + "Coefs : 0.0206833 [ 4.08 %]\n", + "Output : 0.00169236 [ 0.33 %]\n", + "Levels : 0.000107651 [ 0.02 %]\n", + "Report : 1.8e-07 [ 0.00 %]\n", + "Balance : 8.6e-08 [ 0.00 %]\n", + "Adjust : 0.375788 [ 74.07 %]\n", + "Total : 0.507352 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22840 1742 357 40 11 7 3 \n", + "1 : 22882 1683 360 43 12 7 13 \n", + "2 : 22873 1716 346 43 10 5 7 \n", + "3 : 22824 1777 328 47 10 6 8 \n", + "\n", + "T : 91419 6918 1391 173 43 25 31 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0187e-02 sec\n", + "--- Collate = 1.1484e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.274006e-05 < 1.562500e-03 [17]\n", + "--- Max DT=3.116485e-01 > 1.000000e-01 [71438]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71438/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=58.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00163041 [ 0.31 %]\n", + "Velocity : 0.00407373 [ 0.77 %]\n", + "Force : 0.115552 [ 21.75 %]\n", + "Coefs : 0.0295219 [ 5.56 %]\n", + "Output : 0.00172383 [ 0.32 %]\n", + "Levels : 9.3404e-05 [ 0.02 %]\n", + "Report : 1.7e-07 [ 0.00 %]\n", + "Balance : 1.23e-07 [ 0.00 %]\n", + "Adjust : 0.378747 [ 71.27 %]\n", + "Total : 0.531394 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22839 1750 347 48 9 4 3 \n", + "1 : 22884 1683 361 41 13 6 12 \n", + "2 : 22870 1723 339 47 9 8 4 \n", + "3 : 22828 1768 331 45 11 9 8 \n", + "\n", + "T : 91421 6924 1378 181 42 27 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.6129e-02 sec\n", + "--- Collate = 1.0073e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.141651e-04 < 1.562500e-03 [16]\n", + "--- Max DT=3.117443e-01 > 1.000000e-01 [71433]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71433/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=58.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00161803 [ 0.31 %]\n", + "Velocity : 0.00480377 [ 0.92 %]\n", + "Force : 0.112658 [ 21.57 %]\n", + "Coefs : 0.029234 [ 5.60 %]\n", + "Output : 0.00166292 [ 0.32 %]\n", + "Levels : 0.000108877 [ 0.02 %]\n", + "Report : 1.65e-07 [ 0.00 %]\n", + "Balance : 1.06e-07 [ 0.00 %]\n", + "Adjust : 0.372166 [ 71.25 %]\n", + "Total : 0.522302 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22838 1758 340 48 11 2 3 \n", + "1 : 22889 1682 361 37 15 7 9 \n", + "2 : 22863 1734 336 41 15 8 3 \n", + "3 : 22816 1784 325 47 15 4 9 \n", + "\n", + "T : 91406 6958 1362 173 56 21 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9932e-02 sec\n", + "--- Collate = 1.2271e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.114906e-04 < 1.562500e-03 [11]\n", + "--- Max DT=3.118368e-01 > 1.000000e-01 [71446]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71446/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=58.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00165676 [ 0.34 %]\n", + "Velocity : 0.00398955 [ 0.81 %]\n", + "Force : 0.0958649 [ 19.56 %]\n", + "Coefs : 0.0202467 [ 4.13 %]\n", + "Output : 0.00177036 [ 0.36 %]\n", + "Levels : 0.000106586 [ 0.02 %]\n", + "Report : 2.38e-07 [ 0.00 %]\n", + "Balance : 1.17e-07 [ 0.00 %]\n", + "Adjust : 0.366503 [ 74.77 %]\n", + "Total : 0.490192 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22842 1753 331 60 7 4 3 \n", + "1 : 22894 1677 362 34 16 13 4 \n", + "2 : 22855 1741 335 39 19 7 4 \n", + "3 : 22825 1773 326 50 13 7 6 \n", + "\n", + "T : 91416 6944 1354 183 55 31 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.3729e-02 sec\n", + "--- Collate = 9.4260e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.031359e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.119261e-01 > 1.000000e-01 [71438]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71438/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=59] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00193679 [ 0.31 %]\n", + "Velocity : 0.00424581 [ 0.68 %]\n", + "Force : 0.109651 [ 17.45 %]\n", + "Coefs : 0.0246352 [ 3.92 %]\n", + "Output : 0.129593 [ 20.63 %]\n", + "Levels : 8.3603e-05 [ 0.01 %]\n", + "Report : 2.54e-07 [ 0.00 %]\n", + "Balance : 2.14e-07 [ 0.00 %]\n", + "Adjust : 0.358025 [ 56.99 %]\n", + "Total : 0.628227 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22845 1749 332 56 10 3 5 \n", + "1 : 22883 1699 347 40 19 7 5 \n", + "2 : 22847 1743 342 38 20 6 4 \n", + "3 : 22818 1774 332 47 18 1 10 \n", + "\n", + "T : 91393 6965 1353 181 67 17 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.8572e-02 sec\n", + "--- Collate = 1.1499e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.656775e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.120117e-01 > 1.000000e-01 [71423]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71423/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=59.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00187687 [ 0.36 %]\n", + "Velocity : 0.00522321 [ 1.00 %]\n", + "Force : 0.113037 [ 21.69 %]\n", + "Coefs : 0.0284097 [ 5.45 %]\n", + "Output : 0.00173573 [ 0.33 %]\n", + "Levels : 7.793e-05 [ 0.01 %]\n", + "Report : 4.81e-07 [ 0.00 %]\n", + "Balance : 1.25e-07 [ 0.00 %]\n", + "Adjust : 0.370686 [ 71.13 %]\n", + "Total : 0.521105 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22845 1746 338 51 11 4 5 \n", + "1 : 22882 1708 334 44 18 6 8 \n", + "2 : 22848 1745 343 34 21 3 6 \n", + "3 : 22819 1778 333 43 11 10 6 \n", + "\n", + "T : 91394 6977 1348 172 61 23 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9043e-02 sec\n", + "--- Collate = 1.1142e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.894852e-06 < 1.562500e-03 [16]\n", + "--- Max DT=3.120938e-01 > 1.000000e-01 [71432]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71432/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=59.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00174911 [ 0.34 %]\n", + "Velocity : 0.00434803 [ 0.85 %]\n", + "Force : 0.109021 [ 21.42 %]\n", + "Coefs : 0.0284361 [ 5.59 %]\n", + "Output : 0.00163183 [ 0.32 %]\n", + "Levels : 8.1168e-05 [ 0.02 %]\n", + "Report : 1.61e-07 [ 0.00 %]\n", + "Balance : 1e-07 [ 0.00 %]\n", + "Adjust : 0.363747 [ 71.45 %]\n", + "Total : 0.50907 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22841 1749 341 47 10 8 4 \n", + "1 : 22876 1710 338 45 16 5 10 \n", + "2 : 22852 1749 335 32 17 9 6 \n", + "3 : 22809 1789 335 41 10 9 7 \n", + "\n", + "T : 91378 6997 1349 165 53 31 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0427e-02 sec\n", + "--- Collate = 1.5547e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.536070e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.121721e-01 > 1.000000e-01 [71442]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71442/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=59.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00193468 [ 0.37 %]\n", + "Velocity : 0.00449068 [ 0.86 %]\n", + "Force : 0.111883 [ 21.36 %]\n", + "Coefs : 0.0293938 [ 5.61 %]\n", + "Output : 0.00163724 [ 0.31 %]\n", + "Levels : 0.000148073 [ 0.03 %]\n", + "Report : 2.29e-07 [ 0.00 %]\n", + "Balance : 1.93e-07 [ 0.00 %]\n", + "Adjust : 0.374342 [ 71.45 %]\n", + "Total : 0.523889 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22833 1761 335 47 13 6 5 \n", + "1 : 22873 1715 332 53 10 6 11 \n", + "2 : 22848 1749 340 34 11 10 8 \n", + "3 : 22803 1793 333 45 13 5 8 \n", + "\n", + "T : 91357 7018 1340 179 47 27 32 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0285e-02 sec\n", + "--- Collate = 1.7253e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.094659e-04 < 1.562500e-03 [16]\n", + "--- Max DT=3.122472e-01 > 1.000000e-01 [71447]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71447/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=59.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00194193 [ 0.36 %]\n", + "Velocity : 0.00495192 [ 0.91 %]\n", + "Force : 0.118028 [ 21.70 %]\n", + "Coefs : 0.029942 [ 5.51 %]\n", + "Output : 0.00188805 [ 0.35 %]\n", + "Levels : 0.000124082 [ 0.02 %]\n", + "Report : 2.22e-07 [ 0.00 %]\n", + "Balance : 1.55e-07 [ 0.00 %]\n", + "Adjust : 0.386934 [ 71.14 %]\n", + "Total : 0.54387 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22827 1768 333 45 15 9 3 \n", + "1 : 22873 1718 327 53 10 13 6 \n", + "2 : 22838 1760 338 37 11 7 9 \n", + "3 : 22796 1797 337 44 11 8 7 \n", + "\n", + "T : 91334 7043 1335 179 47 37 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9127e-02 sec\n", + "--- Collate = 1.2061e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.472440e-04 < 1.562500e-03 [18]\n", + "--- Max DT=3.123191e-01 > 1.000000e-01 [71438]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 71438/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=59.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00187771 [ 0.37 %]\n", + "Velocity : 0.00431601 [ 0.84 %]\n", + "Force : 0.112624 [ 21.89 %]\n", + "Coefs : 0.0295264 [ 5.74 %]\n", + "Output : 0.00165995 [ 0.32 %]\n", + "Levels : 7.9268e-05 [ 0.02 %]\n", + "Report : 9.5e-08 [ 0.00 %]\n", + "Balance : 1.01e-07 [ 0.00 %]\n", + "Adjust : 0.364266 [ 70.81 %]\n", + "Total : 0.514404 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22828 1771 327 47 16 3 8 \n", + "1 : 22869 1720 330 52 15 6 8 \n", + "2 : 22836 1760 335 45 10 4 10 \n", + "3 : 22785 1803 345 42 14 4 7 \n", + "\n", + "T : 91318 7054 1337 186 55 17 33 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9205e-02 sec\n", + "--- Collate = 1.2617e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.018337e-05 < 1.562500e-03 [18]\n", + "--- Max DT=3.123881e-01 > 1.000000e-01 [71439]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 71439/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=59.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00163203 [ 0.32 %]\n", + "Velocity : 0.00405358 [ 0.79 %]\n", + "Force : 0.110206 [ 21.46 %]\n", + "Coefs : 0.0291448 [ 5.67 %]\n", + "Output : 0.00173704 [ 0.34 %]\n", + "Levels : 7.6025e-05 [ 0.01 %]\n", + "Report : 1.75e-07 [ 0.00 %]\n", + "Balance : 1e-07 [ 0.00 %]\n", + "Adjust : 0.366715 [ 71.40 %]\n", + "Total : 0.513621 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22834 1756 334 48 14 8 6 \n", + "1 : 22866 1722 336 45 17 9 5 \n", + "2 : 22836 1764 330 43 10 10 7 \n", + "3 : 22781 1803 345 43 15 8 5 \n", + "\n", + "T : 91317 7045 1345 179 56 35 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.8158e-02 sec\n", + "--- Collate = 1.3213e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.385489e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.124543e-01 > 1.000000e-01 [71427]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71427/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=59.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0017967 [ 0.35 %]\n", + "Velocity : 0.00434812 [ 0.85 %]\n", + "Force : 0.109704 [ 21.43 %]\n", + "Coefs : 0.0288345 [ 5.63 %]\n", + "Output : 0.00174062 [ 0.34 %]\n", + "Levels : 0.000103947 [ 0.02 %]\n", + "Report : 3.11e-07 [ 0.00 %]\n", + "Balance : 1.65e-07 [ 0.00 %]\n", + "Adjust : 0.365251 [ 71.36 %]\n", + "Total : 0.511831 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22824 1769 328 49 12 9 9 \n", + "1 : 22851 1739 332 49 17 6 6 \n", + "2 : 22828 1772 331 41 14 8 6 \n", + "3 : 22772 1813 342 44 16 6 7 \n", + "\n", + "T : 91275 7093 1333 183 59 29 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9275e-02 sec\n", + "--- Collate = 1.1944e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.007778e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.125179e-01 > 1.000000e-01 [71413]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71413/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=59.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00239503 [ 0.46 %]\n", + "Velocity : 0.00455166 [ 0.88 %]\n", + "Force : 0.1106 [ 21.37 %]\n", + "Coefs : 0.0284717 [ 5.50 %]\n", + "Output : 0.00163999 [ 0.32 %]\n", + "Levels : 0.000104508 [ 0.02 %]\n", + "Report : 2.52e-07 [ 0.00 %]\n", + "Balance : 3.2e-08 [ 0.00 %]\n", + "Adjust : 0.369778 [ 71.44 %]\n", + "Total : 0.517592 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22830 1765 323 53 12 9 8 \n", + "1 : 22850 1736 336 50 18 5 5 \n", + "2 : 22823 1773 338 37 18 8 3 \n", + "3 : 22768 1819 340 42 17 6 8 \n", + "\n", + "T : 91271 7093 1337 182 65 28 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0448e-02 sec\n", + "--- Collate = 1.5566e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.014831e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.125791e-01 > 1.000000e-01 [71398]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71398/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=59.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00195634 [ 0.36 %]\n", + "Velocity : 0.00433625 [ 0.80 %]\n", + "Force : 0.117579 [ 21.71 %]\n", + "Coefs : 0.0281581 [ 5.20 %]\n", + "Output : 0.00191504 [ 0.35 %]\n", + "Levels : 0.000176835 [ 0.03 %]\n", + "Report : 2.23e-07 [ 0.00 %]\n", + "Balance : 1.42e-07 [ 0.00 %]\n", + "Adjust : 0.387288 [ 71.53 %]\n", + "Total : 0.541466 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22830 1768 324 51 10 10 7 \n", + "1 : 22848 1739 336 47 18 7 5 \n", + "2 : 22817 1780 337 37 21 3 5 \n", + "3 : 22766 1828 333 42 14 11 6 \n", + "\n", + "T : 91261 7115 1330 177 63 31 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0089e-02 sec\n", + "--- Collate = 1.4038e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.792472e-06 < 1.562500e-03 [8]\n", + "--- Max DT=3.126374e-01 > 1.000000e-01 [71391]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71391/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=60] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00181352 [ 0.30 %]\n", + "Velocity : 0.00457174 [ 0.75 %]\n", + "Force : 0.109536 [ 17.86 %]\n", + "Coefs : 0.0296512 [ 4.84 %]\n", + "Output : 0.0934723 [ 15.24 %]\n", + "Levels : 0.000133534 [ 0.02 %]\n", + "Report : 4.18e-07 [ 0.00 %]\n", + "Balance : 2.91e-07 [ 0.00 %]\n", + "Adjust : 0.373965 [ 60.99 %]\n", + "Total : 0.613198 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22830 1760 331 49 15 10 5 \n", + "1 : 22836 1751 337 46 13 12 5 \n", + "2 : 22825 1767 343 39 18 4 4 \n", + "3 : 22767 1822 339 39 14 11 8 \n", + "\n", + "T : 91258 7100 1350 173 60 37 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9214e-02 sec\n", + "--- Collate = 1.2525e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.217085e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.126929e-01 > 1.000000e-01 [71392]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71392/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=60.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00212988 [ 0.38 %]\n", + "Velocity : 0.0056484 [ 1.00 %]\n", + "Force : 0.113308 [ 20.13 %]\n", + "Coefs : 0.0737185 [ 13.10 %]\n", + "Output : 0.00189907 [ 0.34 %]\n", + "Levels : 0.000140423 [ 0.02 %]\n", + "Report : 2e-07 [ 0.00 %]\n", + "Balance : 2.09e-07 [ 0.00 %]\n", + "Adjust : 0.365922 [ 65.01 %]\n", + "Total : 0.562829 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22832 1762 330 45 22 3 6 \n", + "1 : 22835 1743 345 46 12 8 11 \n", + "2 : 22829 1758 350 42 10 7 4 \n", + "3 : 22765 1830 333 39 18 7 8 \n", + "\n", + "T : 91261 7093 1358 172 62 25 29 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.2589e-02 sec\n", + "--- Collate = 9.5220e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.309168e-05 < 1.562500e-03 [19]\n", + "--- Max DT=3.127452e-01 > 1.000000e-01 [71413]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 71413/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=60.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00216139 [ 0.43 %]\n", + "Velocity : 0.00470784 [ 0.94 %]\n", + "Force : 0.111788 [ 22.23 %]\n", + "Coefs : 0.0299929 [ 5.96 %]\n", + "Output : 0.00188196 [ 0.37 %]\n", + "Levels : 8.108e-05 [ 0.02 %]\n", + "Report : 2.18e-07 [ 0.00 %]\n", + "Balance : 1.23e-07 [ 0.00 %]\n", + "Adjust : 0.352275 [ 70.04 %]\n", + "Total : 0.502946 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22831 1774 316 47 18 8 6 \n", + "1 : 22833 1751 339 43 14 6 14 \n", + "2 : 22836 1750 351 37 13 8 5 \n", + "3 : 22771 1832 323 39 14 11 10 \n", + "\n", + "T : 91271 7107 1329 166 59 33 35 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.1392e-02 sec\n", + "--- Collate = 8.9330e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.456748e-05 < 1.562500e-03 [21]\n", + "--- Max DT=3.127946e-01 > 1.000000e-01 [71384]\n", + "----------------------------------------------------------------------\n", + " Component | low: 21/100000\n", + " Component | high: 71384/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=60.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00163537 [ 0.33 %]\n", + "Velocity : 0.00419548 [ 0.84 %]\n", + "Force : 0.11157 [ 22.40 %]\n", + "Coefs : 0.0239614 [ 4.81 %]\n", + "Output : 0.0018293 [ 0.37 %]\n", + "Levels : 8.9162e-05 [ 0.02 %]\n", + "Report : 2.25e-07 [ 0.00 %]\n", + "Balance : 1.13e-07 [ 0.00 %]\n", + "Adjust : 0.354826 [ 71.23 %]\n", + "Total : 0.498164 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22826 1777 313 50 19 9 6 \n", + "1 : 22830 1755 337 43 12 10 13 \n", + "2 : 22830 1758 346 37 15 5 9 \n", + "3 : 22776 1827 320 45 8 12 12 \n", + "\n", + "T : 91262 7117 1316 175 54 36 40 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.2281e-02 sec\n", + "--- Collate = 1.2504e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.131721e-04 < 1.562500e-03 [16]\n", + "--- Max DT=3.130381e-01 > 1.000000e-01 [71377]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71377/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=60.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00176428 [ 0.35 %]\n", + "Velocity : 0.0040434 [ 0.81 %]\n", + "Force : 0.110903 [ 22.27 %]\n", + "Coefs : 0.0194448 [ 3.90 %]\n", + "Output : 0.00186505 [ 0.37 %]\n", + "Levels : 0.000114577 [ 0.02 %]\n", + "Report : 5.82e-07 [ 0.00 %]\n", + "Balance : 1.59e-07 [ 0.00 %]\n", + "Adjust : 0.359762 [ 72.25 %]\n", + "Total : 0.497956 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22824 1790 297 56 13 8 12 \n", + "1 : 22832 1745 340 47 14 9 13 \n", + "2 : 22824 1766 342 36 11 11 10 \n", + "3 : 22766 1837 324 41 11 10 11 \n", + "\n", + "T : 91246 7138 1303 180 49 38 46 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.8074e-02 sec\n", + "--- Collate = 1.1249e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.032240e-05 < 1.562500e-03 [26]\n", + "--- Max DT=3.133579e-01 > 1.000000e-01 [71370]\n", + "----------------------------------------------------------------------\n", + " Component | low: 26/100000\n", + " Component | high: 71370/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=60.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00188211 [ 0.36 %]\n", + "Velocity : 0.00450291 [ 0.87 %]\n", + "Force : 0.110312 [ 21.37 %]\n", + "Coefs : 0.0186152 [ 3.61 %]\n", + "Output : 0.00174032 [ 0.34 %]\n", + "Levels : 9.1101e-05 [ 0.02 %]\n", + "Report : 1.77e-07 [ 0.00 %]\n", + "Balance : 1.29e-07 [ 0.00 %]\n", + "Adjust : 0.378968 [ 73.42 %]\n", + "Total : 0.516165 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22823 1787 297 55 16 12 10 \n", + "1 : 22830 1751 337 47 12 13 10 \n", + "2 : 22835 1756 334 40 14 8 13 \n", + "3 : 22767 1835 317 50 10 11 10 \n", + "\n", + "T : 91255 7129 1285 192 52 44 43 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.2535e-02 sec\n", + "--- Collate = 9.7760e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.517979e-05 < 1.562500e-03 [22]\n", + "--- Max DT=3.136730e-01 > 1.000000e-01 [71355]\n", + "----------------------------------------------------------------------\n", + " Component | low: 22/100000\n", + " Component | high: 71355/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=60.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00190191 [ 0.38 %]\n", + "Velocity : 0.00480764 [ 0.97 %]\n", + "Force : 0.110172 [ 22.16 %]\n", + "Coefs : 0.0211381 [ 4.25 %]\n", + "Output : 0.00182947 [ 0.37 %]\n", + "Levels : 0.00010162 [ 0.02 %]\n", + "Report : 1.51e-07 [ 0.00 %]\n", + "Balance : 1.1e-07 [ 0.00 %]\n", + "Adjust : 0.357051 [ 71.83 %]\n", + "Total : 0.497057 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22815 1792 301 52 18 7 15 \n", + "1 : 22819 1759 344 41 18 8 11 \n", + "2 : 22842 1746 333 42 14 12 11 \n", + "3 : 22762 1839 318 48 9 14 10 \n", + "\n", + "T : 91238 7136 1296 183 59 41 47 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.3738e-02 sec\n", + "--- Collate = 1.3552e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.750411e-05 < 1.562500e-03 [26]\n", + "--- Max DT=3.139838e-01 > 1.000000e-01 [71356]\n", + "----------------------------------------------------------------------\n", + " Component | low: 26/100000\n", + " Component | high: 71356/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=60.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00166195 [ 0.33 %]\n", + "Velocity : 0.00447414 [ 0.90 %]\n", + "Force : 0.107628 [ 21.64 %]\n", + "Coefs : 0.0191139 [ 3.84 %]\n", + "Output : 0.00180027 [ 0.36 %]\n", + "Levels : 0.000113889 [ 0.02 %]\n", + "Report : 2.26e-07 [ 0.00 %]\n", + "Balance : 1.51e-07 [ 0.00 %]\n", + "Adjust : 0.362527 [ 72.89 %]\n", + "Total : 0.497375 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22813 1792 303 45 22 12 13 \n", + "1 : 22816 1760 341 47 15 10 11 \n", + "2 : 22834 1753 329 49 15 9 11 \n", + "3 : 22773 1829 315 50 12 12 9 \n", + "\n", + "T : 91236 7134 1288 191 64 43 44 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9997e-02 sec\n", + "--- Collate = 1.2095e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.290401e-05 < 1.562500e-03 [23]\n", + "--- Max DT=3.142897e-01 > 1.000000e-01 [71356]\n", + "----------------------------------------------------------------------\n", + " Component | low: 23/100000\n", + " Component | high: 71356/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=60.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00211165 [ 0.41 %]\n", + "Velocity : 0.00480869 [ 0.94 %]\n", + "Force : 0.102479 [ 20.04 %]\n", + "Coefs : 0.0193943 [ 3.79 %]\n", + "Output : 0.00177873 [ 0.35 %]\n", + "Levels : 0.00011698 [ 0.02 %]\n", + "Report : 1.76e-07 [ 0.00 %]\n", + "Balance : 1.15e-07 [ 0.00 %]\n", + "Adjust : 0.380729 [ 74.44 %]\n", + "Total : 0.511476 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22803 1801 308 42 26 8 12 \n", + "1 : 22825 1755 332 52 15 9 12 \n", + "2 : 22840 1743 331 47 20 12 7 \n", + "3 : 22772 1830 318 36 25 8 11 \n", + "\n", + "T : 91240 7129 1289 177 86 37 42 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9843e-02 sec\n", + "--- Collate = 1.0500e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.882576e-06 < 1.562500e-03 [16]\n", + "--- Max DT=3.145913e-01 > 1.000000e-01 [71362]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71362/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=60.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00168132 [ 0.32 %]\n", + "Velocity : 0.00412288 [ 0.77 %]\n", + "Force : 0.114475 [ 21.49 %]\n", + "Coefs : 0.0311028 [ 5.84 %]\n", + "Output : 0.00178037 [ 0.33 %]\n", + "Levels : 0.000151901 [ 0.03 %]\n", + "Report : 1.97e-07 [ 0.00 %]\n", + "Balance : 3.57e-07 [ 0.00 %]\n", + "Adjust : 0.37924 [ 71.20 %]\n", + "Total : 0.53261 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22808 1792 317 41 19 12 11 \n", + "1 : 22817 1753 341 52 16 7 14 \n", + "2 : 22843 1739 328 51 22 9 8 \n", + "3 : 22775 1826 320 39 21 6 13 \n", + "\n", + "T : 91243 7110 1306 183 78 34 46 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9167e-02 sec\n", + "--- Collate = 1.5391e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.176536e-05 < 1.562500e-03 [17]\n", + "--- Max DT=3.148886e-01 > 1.000000e-01 [71352]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71352/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=61] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00205945 [ 0.31 %]\n", + "Velocity : 0.00449277 [ 0.67 %]\n", + "Force : 0.1131 [ 16.88 %]\n", + "Coefs : 0.0308639 [ 4.61 %]\n", + "Output : 0.152861 [ 22.82 %]\n", + "Levels : 0.00013465 [ 0.02 %]\n", + "Report : 5.71e-07 [ 0.00 %]\n", + "Balance : 2.99e-07 [ 0.00 %]\n", + "Adjust : 0.366279 [ 54.68 %]\n", + "Total : 0.669848 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22796 1802 315 44 20 14 9 \n", + "1 : 22812 1761 335 57 13 14 8 \n", + "2 : 22849 1732 329 49 28 7 6 \n", + "3 : 22779 1824 314 47 14 13 9 \n", + "\n", + "T : 91236 7119 1293 197 75 48 32 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9508e-02 sec\n", + "--- Collate = 1.0544e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.122507e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.151811e-01 > 1.000000e-01 [71357]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71357/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=61.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00170687 [ 0.32 %]\n", + "Velocity : 0.00513797 [ 0.97 %]\n", + "Force : 0.114253 [ 21.60 %]\n", + "Coefs : 0.028869 [ 5.46 %]\n", + "Output : 0.0017584 [ 0.33 %]\n", + "Levels : 0.000121484 [ 0.02 %]\n", + "Report : 1.71e-07 [ 0.00 %]\n", + "Balance : 1.55e-07 [ 0.00 %]\n", + "Adjust : 0.37711 [ 71.29 %]\n", + "Total : 0.529014 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22801 1796 314 46 20 10 13 \n", + "1 : 22811 1759 337 62 11 9 11 \n", + "2 : 22847 1736 328 50 23 8 8 \n", + "3 : 22773 1833 309 48 16 11 10 \n", + "\n", + "T : 91232 7124 1288 206 70 38 42 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9122e-02 sec\n", + "--- Collate = 1.2290e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.582683e-05 < 1.562500e-03 [22]\n", + "--- Max DT=3.154693e-01 > 1.000000e-01 [71357]\n", + "----------------------------------------------------------------------\n", + " Component | low: 22/100000\n", + " Component | high: 71357/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=61.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00161474 [ 0.31 %]\n", + "Velocity : 0.00405408 [ 0.78 %]\n", + "Force : 0.114306 [ 21.89 %]\n", + "Coefs : 0.0301998 [ 5.78 %]\n", + "Output : 0.00174555 [ 0.33 %]\n", + "Levels : 8.9763e-05 [ 0.02 %]\n", + "Report : 1.53e-07 [ 0.00 %]\n", + "Balance : 7.8e-08 [ 0.00 %]\n", + "Adjust : 0.37011 [ 70.88 %]\n", + "Total : 0.522174 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22794 1806 311 42 22 9 16 \n", + "1 : 22812 1760 335 60 15 8 10 \n", + "2 : 22841 1746 326 50 19 10 8 \n", + "3 : 22775 1830 304 52 22 10 7 \n", + "\n", + "T : 91222 7142 1276 204 78 37 41 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9323e-02 sec\n", + "--- Collate = 1.2105e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.030790e-06 < 1.562500e-03 [24]\n", + "--- Max DT=3.157535e-01 > 1.000000e-01 [71354]\n", + "----------------------------------------------------------------------\n", + " Component | low: 24/100000\n", + " Component | high: 71354/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=61.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00173532 [ 0.34 %]\n", + "Velocity : 0.00427798 [ 0.83 %]\n", + "Force : 0.109904 [ 21.36 %]\n", + "Coefs : 0.0293762 [ 5.71 %]\n", + "Output : 0.00173558 [ 0.34 %]\n", + "Levels : 9.9493e-05 [ 0.02 %]\n", + "Report : 4.4e-08 [ 0.00 %]\n", + "Balance : 1.01e-07 [ 0.00 %]\n", + "Adjust : 0.367366 [ 71.40 %]\n", + "Total : 0.514547 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22798 1802 311 40 19 14 16 \n", + "1 : 22809 1766 332 57 20 6 10 \n", + "2 : 22844 1743 328 51 15 7 12 \n", + "3 : 22780 1819 310 52 22 7 10 \n", + "\n", + "T : 91231 7130 1281 200 76 34 48 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0606e-02 sec\n", + "--- Collate = 1.7656e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.137413e-05 < 1.562500e-03 [23]\n", + "--- Max DT=3.160340e-01 > 1.000000e-01 [71351]\n", + "----------------------------------------------------------------------\n", + " Component | low: 23/100000\n", + " Component | high: 71351/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=61.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00181026 [ 0.34 %]\n", + "Velocity : 0.00477645 [ 0.90 %]\n", + "Force : 0.113768 [ 21.37 %]\n", + "Coefs : 0.0296655 [ 5.57 %]\n", + "Output : 0.00182119 [ 0.34 %]\n", + "Levels : 0.000123828 [ 0.02 %]\n", + "Report : 1.89e-07 [ 0.00 %]\n", + "Balance : 1.9e-07 [ 0.00 %]\n", + "Adjust : 0.380391 [ 71.45 %]\n", + "Total : 0.532413 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22802 1793 318 41 24 6 16 \n", + "1 : 22810 1768 330 53 20 11 8 \n", + "2 : 22841 1743 332 52 13 6 13 \n", + "3 : 22774 1823 317 51 17 8 10 \n", + "\n", + "T : 91227 7127 1297 197 74 31 47 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0427e-02 sec\n", + "--- Collate = 1.5810e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.028183e-06 < 1.562500e-03 [23]\n", + "--- Max DT=3.163106e-01 > 1.000000e-01 [71355]\n", + "----------------------------------------------------------------------\n", + " Component | low: 23/100000\n", + " Component | high: 71355/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=61.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00189407 [ 0.35 %]\n", + "Velocity : 0.00474602 [ 0.87 %]\n", + "Force : 0.118007 [ 21.58 %]\n", + "Coefs : 0.0308944 [ 5.65 %]\n", + "Output : 0.0019989 [ 0.37 %]\n", + "Levels : 0.000135704 [ 0.02 %]\n", + "Report : 2.15e-07 [ 0.00 %]\n", + "Balance : 1.81e-07 [ 0.00 %]\n", + "Adjust : 0.389012 [ 71.15 %]\n", + "Total : 0.546746 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22796 1805 311 44 18 11 15 \n", + "1 : 22809 1768 333 55 12 12 11 \n", + "2 : 22843 1742 334 46 15 10 10 \n", + "3 : 22767 1834 310 53 20 7 9 \n", + "\n", + "T : 91215 7149 1288 198 65 40 45 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0149e-02 sec\n", + "--- Collate = 1.5855e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.088706e-05 < 1.562500e-03 [22]\n", + "--- Max DT=3.165835e-01 > 1.000000e-01 [71349]\n", + "----------------------------------------------------------------------\n", + " Component | low: 22/100000\n", + " Component | high: 71349/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=61.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00182814 [ 0.33 %]\n", + "Velocity : 0.00486636 [ 0.89 %]\n", + "Force : 0.119633 [ 21.78 %]\n", + "Coefs : 0.0308892 [ 5.62 %]\n", + "Output : 0.00201829 [ 0.37 %]\n", + "Levels : 0.000154669 [ 0.03 %]\n", + "Report : 2.38e-07 [ 0.00 %]\n", + "Balance : 1.82e-07 [ 0.00 %]\n", + "Adjust : 0.389842 [ 70.97 %]\n", + "Total : 0.549291 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22801 1796 314 44 15 18 12 \n", + "1 : 22817 1764 330 54 16 7 12 \n", + "2 : 22845 1745 329 45 19 9 8 \n", + "3 : 22766 1834 307 60 17 7 9 \n", + "\n", + "T : 91229 7139 1280 203 67 41 41 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0170e-02 sec\n", + "--- Collate = 1.5392e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.957614e-06 < 1.562500e-03 [20]\n", + "--- Max DT=3.168528e-01 > 1.000000e-01 [71341]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 71341/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=61.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00204199 [ 0.37 %]\n", + "Velocity : 0.00491686 [ 0.90 %]\n", + "Force : 0.118249 [ 21.62 %]\n", + "Coefs : 0.0306333 [ 5.60 %]\n", + "Output : 0.00191317 [ 0.35 %]\n", + "Levels : 0.000133332 [ 0.02 %]\n", + "Report : 2.1e-07 [ 0.00 %]\n", + "Balance : 1.58e-07 [ 0.00 %]\n", + "Adjust : 0.388872 [ 71.12 %]\n", + "Total : 0.54682 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22800 1798 308 44 23 14 13 \n", + "1 : 22814 1762 329 59 15 10 11 \n", + "2 : 22842 1746 334 45 12 11 10 \n", + "3 : 22771 1827 315 54 15 11 7 \n", + "\n", + "T : 91227 7133 1286 202 65 46 41 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0363e-02 sec\n", + "--- Collate = 1.5443e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.497281e-05 < 1.562500e-03 [18]\n", + "--- Max DT=3.171184e-01 > 1.000000e-01 [71332]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 71332/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=61.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00186181 [ 0.34 %]\n", + "Velocity : 0.00474123 [ 0.87 %]\n", + "Force : 0.118218 [ 21.75 %]\n", + "Coefs : 0.0303542 [ 5.58 %]\n", + "Output : 0.00200484 [ 0.37 %]\n", + "Levels : 0.0001558 [ 0.03 %]\n", + "Report : 3.7e-07 [ 0.00 %]\n", + "Balance : 2.23e-07 [ 0.00 %]\n", + "Adjust : 0.386215 [ 71.05 %]\n", + "Total : 0.543612 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22808 1790 307 46 24 13 12 \n", + "1 : 22812 1758 339 55 18 11 7 \n", + "2 : 22837 1751 334 43 18 3 14 \n", + "3 : 22768 1831 310 52 21 11 7 \n", + "\n", + "T : 91225 7130 1290 196 81 38 40 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0117e-02 sec\n", + "--- Collate = 1.6036e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.141988e-05 < 1.562500e-03 [19]\n", + "--- Max DT=3.173804e-01 > 1.000000e-01 [71341]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 71341/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=61.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00182945 [ 0.34 %]\n", + "Velocity : 0.00484185 [ 0.90 %]\n", + "Force : 0.115727 [ 21.44 %]\n", + "Coefs : 0.0307627 [ 5.70 %]\n", + "Output : 0.00192093 [ 0.36 %]\n", + "Levels : 0.000122616 [ 0.02 %]\n", + "Report : 1.98e-07 [ 0.00 %]\n", + "Balance : 1.81e-07 [ 0.00 %]\n", + "Adjust : 0.384449 [ 71.23 %]\n", + "Total : 0.539713 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22811 1789 307 49 18 14 12 \n", + "1 : 22805 1765 341 53 21 8 7 \n", + "2 : 22833 1753 338 40 19 5 12 \n", + "3 : 22768 1828 316 54 17 8 9 \n", + "\n", + "T : 91217 7135 1302 196 75 35 40 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9815e-02 sec\n", + "--- Collate = 1.1294e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.759818e-05 < 1.562500e-03 [17]\n", + "--- Max DT=3.176340e-01 > 1.000000e-01 [71344]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71344/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=62] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00177418 [ 0.27 %]\n", + "Velocity : 0.00445883 [ 0.67 %]\n", + "Force : 0.10988 [ 16.47 %]\n", + "Coefs : 0.0267552 [ 4.01 %]\n", + "Output : 0.148067 [ 22.20 %]\n", + "Levels : 0.000102447 [ 0.02 %]\n", + "Report : 4.65e-07 [ 0.00 %]\n", + "Balance : 2.87e-07 [ 0.00 %]\n", + "Adjust : 0.37589 [ 56.36 %]\n", + "Total : 0.666985 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22808 1783 317 50 16 12 14 \n", + "1 : 22806 1777 325 60 19 7 6 \n", + "2 : 22835 1750 336 42 18 9 10 \n", + "3 : 22761 1833 319 51 18 10 8 \n", + "\n", + "T : 91210 7143 1297 203 71 38 38 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.8059e-02 sec\n", + "--- Collate = 1.5650e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.290497e-05 < 1.562500e-03 [26]\n", + "--- Max DT=3.178749e-01 > 1.000000e-01 [71341]\n", + "----------------------------------------------------------------------\n", + " Component | low: 26/100000\n", + " Component | high: 71341/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=62.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00174889 [ 0.34 %]\n", + "Velocity : 0.0059208 [ 1.15 %]\n", + "Force : 0.111682 [ 21.77 %]\n", + "Coefs : 0.0298025 [ 5.81 %]\n", + "Output : 0.00179071 [ 0.35 %]\n", + "Levels : 0.000113258 [ 0.02 %]\n", + "Report : 2.91e-07 [ 0.00 %]\n", + "Balance : 1.55e-07 [ 0.00 %]\n", + "Adjust : 0.361836 [ 70.54 %]\n", + "Total : 0.512947 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22800 1788 315 55 19 6 17 \n", + "1 : 22811 1765 334 64 16 4 6 \n", + "2 : 22822 1769 327 44 16 12 10 \n", + "3 : 22770 1823 318 53 18 7 11 \n", + "\n", + "T : 91203 7145 1294 216 69 29 44 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9314e-02 sec\n", + "--- Collate = 1.5336e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.014337e-05 < 1.562500e-03 [21]\n", + "--- Max DT=3.181110e-01 > 1.000000e-01 [71328]\n", + "----------------------------------------------------------------------\n", + " Component | low: 21/100000\n", + " Component | high: 71328/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=62.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00236473 [ 0.46 %]\n", + "Velocity : 0.00523243 [ 1.02 %]\n", + "Force : 0.109741 [ 21.41 %]\n", + "Coefs : 0.0278937 [ 5.44 %]\n", + "Output : 0.0018147 [ 0.35 %]\n", + "Levels : 0.000165301 [ 0.03 %]\n", + "Report : 7.34e-07 [ 0.00 %]\n", + "Balance : 1.63e-07 [ 0.00 %]\n", + "Adjust : 0.365225 [ 71.26 %]\n", + "Total : 0.512493 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22808 1778 319 52 20 9 14 \n", + "1 : 22813 1765 330 69 11 5 7 \n", + "2 : 22820 1767 329 44 23 7 10 \n", + "3 : 22769 1821 325 46 21 8 10 \n", + "\n", + "T : 91210 7131 1303 211 75 29 41 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0206e-02 sec\n", + "--- Collate = 1.0573e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.341328e-06 < 1.562500e-03 [11]\n", + "--- Max DT=3.183423e-01 > 1.000000e-01 [71324]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71324/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=62.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00202571 [ 0.38 %]\n", + "Velocity : 0.0047566 [ 0.89 %]\n", + "Force : 0.116067 [ 21.81 %]\n", + "Coefs : 0.0299547 [ 5.63 %]\n", + "Output : 0.00186834 [ 0.35 %]\n", + "Levels : 0.000135367 [ 0.03 %]\n", + "Report : 2.64e-07 [ 0.00 %]\n", + "Balance : 1.93e-07 [ 0.00 %]\n", + "Adjust : 0.377322 [ 70.90 %]\n", + "Total : 0.532188 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22808 1787 311 47 20 17 10 \n", + "1 : 22809 1764 338 69 9 3 8 \n", + "2 : 22823 1768 324 51 18 7 9 \n", + "3 : 22759 1835 321 47 17 13 8 \n", + "\n", + "T : 91199 7154 1294 214 64 40 35 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.8712e-02 sec\n", + "--- Collate = 1.1637e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.656013e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.185692e-01 > 1.000000e-01 [71333]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71333/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=62.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00189319 [ 0.35 %]\n", + "Velocity : 0.00504045 [ 0.94 %]\n", + "Force : 0.116011 [ 21.59 %]\n", + "Coefs : 0.0304149 [ 5.66 %]\n", + "Output : 0.00184452 [ 0.34 %]\n", + "Levels : 9.7386e-05 [ 0.02 %]\n", + "Report : 2.5e-07 [ 0.00 %]\n", + "Balance : 7e-08 [ 0.00 %]\n", + "Adjust : 0.382105 [ 71.09 %]\n", + "Total : 0.537459 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22807 1787 316 50 13 17 10 \n", + "1 : 22801 1776 337 59 17 5 5 \n", + "2 : 22823 1765 325 56 16 10 5 \n", + "3 : 22761 1834 324 40 19 10 12 \n", + "\n", + "T : 91192 7162 1302 205 65 42 32 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9677e-02 sec\n", + "--- Collate = 1.1443e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.170546e-05 < 1.562500e-03 [18]\n", + "--- Max DT=3.187914e-01 > 1.000000e-01 [71335]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 71335/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=62.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00158132 [ 0.30 %]\n", + "Velocity : 0.00441825 [ 0.83 %]\n", + "Force : 0.11229 [ 21.20 %]\n", + "Coefs : 0.0299687 [ 5.66 %]\n", + "Output : 0.00180668 [ 0.34 %]\n", + "Levels : 8.9426e-05 [ 0.02 %]\n", + "Report : 2.59e-07 [ 0.00 %]\n", + "Balance : 1.28e-07 [ 0.00 %]\n", + "Adjust : 0.379564 [ 71.65 %]\n", + "Total : 0.529773 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22806 1790 312 50 19 9 14 \n", + "1 : 22791 1784 340 56 19 7 3 \n", + "2 : 22818 1770 326 51 18 10 7 \n", + "3 : 22770 1822 330 34 20 9 15 \n", + "\n", + "T : 91185 7166 1308 191 76 35 39 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.8154e-02 sec\n", + "--- Collate = 1.3532e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.730210e-06 < 1.562500e-03 [17]\n", + "--- Max DT=3.190091e-01 > 1.000000e-01 [71339]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71339/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=62.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00157577 [ 0.30 %]\n", + "Velocity : 0.00447928 [ 0.86 %]\n", + "Force : 0.111813 [ 21.49 %]\n", + "Coefs : 0.0294754 [ 5.66 %]\n", + "Output : 0.00174838 [ 0.34 %]\n", + "Levels : 0.000126318 [ 0.02 %]\n", + "Report : 3.79e-07 [ 0.00 %]\n", + "Balance : 3.37e-07 [ 0.00 %]\n", + "Adjust : 0.371074 [ 71.31 %]\n", + "Total : 0.520348 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22794 1796 317 51 21 9 12 \n", + "1 : 22789 1787 340 55 13 13 3 \n", + "2 : 22812 1774 323 54 23 6 8 \n", + "3 : 22771 1827 323 39 16 6 18 \n", + "\n", + "T : 91166 7184 1303 199 73 34 41 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9871e-02 sec\n", + "--- Collate = 1.2055e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.528583e-05 < 1.562500e-03 [23]\n", + "--- Max DT=3.192220e-01 > 1.000000e-01 [71354]\n", + "----------------------------------------------------------------------\n", + " Component | low: 23/100000\n", + " Component | high: 71354/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=62.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00173081 [ 0.33 %]\n", + "Velocity : 0.00438084 [ 0.84 %]\n", + "Force : 0.111683 [ 21.50 %]\n", + "Coefs : 0.0279212 [ 5.37 %]\n", + "Output : 0.00189682 [ 0.37 %]\n", + "Levels : 9.9881e-05 [ 0.02 %]\n", + "Report : 2.54e-07 [ 0.00 %]\n", + "Balance : 1.26e-07 [ 0.00 %]\n", + "Adjust : 0.371766 [ 71.56 %]\n", + "Total : 0.519531 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22794 1797 321 48 17 12 11 \n", + "1 : 22794 1777 343 56 16 8 6 \n", + "2 : 22823 1757 335 47 24 6 8 \n", + "3 : 22763 1837 321 42 11 11 15 \n", + "\n", + "T : 91174 7168 1320 193 68 37 40 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9722e-02 sec\n", + "--- Collate = 1.1728e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.990413e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.194305e-01 > 1.000000e-01 [71356]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71356/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=62.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00171713 [ 0.32 %]\n", + "Velocity : 0.00479668 [ 0.91 %]\n", + "Force : 0.114321 [ 21.61 %]\n", + "Coefs : 0.0297052 [ 5.62 %]\n", + "Output : 0.00173624 [ 0.33 %]\n", + "Levels : 0.000104213 [ 0.02 %]\n", + "Report : 3.89e-07 [ 0.00 %]\n", + "Balance : 1e-07 [ 0.00 %]\n", + "Adjust : 0.376523 [ 71.18 %]\n", + "Total : 0.528958 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22783 1804 328 44 20 10 11 \n", + "1 : 22800 1771 340 59 17 2 11 \n", + "2 : 22816 1756 341 52 18 11 6 \n", + "3 : 22759 1843 325 35 16 10 12 \n", + "\n", + "T : 91158 7174 1334 190 71 33 40 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9947e-02 sec\n", + "--- Collate = 1.1910e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.751218e-05 < 1.562500e-03 [20]\n", + "--- Max DT=3.196346e-01 > 1.000000e-01 [71333]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 71333/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=62.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00165266 [ 0.31 %]\n", + "Velocity : 0.00450745 [ 0.85 %]\n", + "Force : 0.113568 [ 21.47 %]\n", + "Coefs : 0.0296971 [ 5.62 %]\n", + "Output : 0.00177133 [ 0.33 %]\n", + "Levels : 0.000122969 [ 0.02 %]\n", + "Report : 1.75e-07 [ 0.00 %]\n", + "Balance : 1.31e-07 [ 0.00 %]\n", + "Adjust : 0.37749 [ 71.38 %]\n", + "Total : 0.528864 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22781 1805 334 43 17 9 11 \n", + "1 : 22802 1769 342 54 16 8 9 \n", + "2 : 22828 1742 344 49 19 12 6 \n", + "3 : 22756 1850 322 39 11 14 8 \n", + "\n", + "T : 91167 7166 1342 185 63 43 34 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9661e-02 sec\n", + "--- Collate = 1.2696e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.211278e-05 < 1.562500e-03 [22]\n", + "--- Max DT=3.198347e-01 > 1.000000e-01 [71316]\n", + "----------------------------------------------------------------------\n", + " Component | low: 22/100000\n", + " Component | high: 71316/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=63] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00166397 [ 0.26 %]\n", + "Velocity : 0.00423548 [ 0.67 %]\n", + "Force : 0.113639 [ 17.87 %]\n", + "Coefs : 0.0299454 [ 4.71 %]\n", + "Output : 0.108562 [ 17.07 %]\n", + "Levels : 0.000105545 [ 0.02 %]\n", + "Report : 3.22e-07 [ 0.00 %]\n", + "Balance : 1.63e-07 [ 0.00 %]\n", + "Adjust : 0.377633 [ 59.39 %]\n", + "Total : 0.635838 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22779 1805 334 45 15 9 13 \n", + "1 : 22807 1763 346 50 14 12 8 \n", + "2 : 22826 1742 343 54 20 5 10 \n", + "3 : 22757 1852 322 37 18 3 11 \n", + "\n", + "T : 91169 7162 1345 186 67 29 42 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.6169e-02 sec\n", + "--- Collate = 9.8300e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.179606e-04 < 1.562500e-03 [21]\n", + "--- Max DT=3.200305e-01 > 1.000000e-01 [71304]\n", + "----------------------------------------------------------------------\n", + " Component | low: 21/100000\n", + " Component | high: 71304/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=63.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00313605 [ 0.59 %]\n", + "Velocity : 0.00502226 [ 0.94 %]\n", + "Force : 0.110469 [ 20.65 %]\n", + "Coefs : 0.0525403 [ 9.82 %]\n", + "Output : 0.00178639 [ 0.33 %]\n", + "Levels : 8.5706e-05 [ 0.02 %]\n", + "Report : 1.65e-07 [ 0.00 %]\n", + "Balance : 1.55e-07 [ 0.00 %]\n", + "Adjust : 0.361754 [ 67.64 %]\n", + "Total : 0.534852 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22784 1799 332 47 14 10 14 \n", + "1 : 22800 1771 344 49 19 11 6 \n", + "2 : 22823 1745 350 49 14 8 11 \n", + "3 : 22746 1851 328 43 18 4 10 \n", + "\n", + "T : 91153 7166 1354 188 65 33 41 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0453e-02 sec\n", + "--- Collate = 1.3529e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.690109e-05 < 1.562500e-03 [26]\n", + "--- Max DT=3.202227e-01 > 1.000000e-01 [71310]\n", + "----------------------------------------------------------------------\n", + " Component | low: 26/100000\n", + " Component | high: 71310/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=63.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00155654 [ 0.30 %]\n", + "Velocity : 0.00411565 [ 0.81 %]\n", + "Force : 0.0984058 [ 19.28 %]\n", + "Coefs : 0.0189016 [ 3.70 %]\n", + "Output : 0.00179139 [ 0.35 %]\n", + "Levels : 9.8496e-05 [ 0.02 %]\n", + "Report : 1.79e-07 [ 0.00 %]\n", + "Balance : 9.9e-08 [ 0.00 %]\n", + "Adjust : 0.385422 [ 75.52 %]\n", + "Total : 0.510347 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22779 1807 330 44 17 9 14 \n", + "1 : 22801 1766 349 48 23 3 10 \n", + "2 : 22819 1748 351 50 10 8 14 \n", + "3 : 22745 1847 333 45 12 11 7 \n", + "\n", + "T : 91144 7168 1363 187 62 31 45 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0018e-02 sec\n", + "--- Collate = 1.1675e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.022464e-05 < 1.562500e-03 [21]\n", + "--- Max DT=3.204111e-01 > 1.000000e-01 [71289]\n", + "----------------------------------------------------------------------\n", + " Component | low: 21/100000\n", + " Component | high: 71289/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=63.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00177932 [ 0.33 %]\n", + "Velocity : 0.0041071 [ 0.77 %]\n", + "Force : 0.116464 [ 21.91 %]\n", + "Coefs : 0.0308282 [ 5.80 %]\n", + "Output : 0.00179708 [ 0.34 %]\n", + "Levels : 0.000113093 [ 0.02 %]\n", + "Report : 1.59e-07 [ 0.00 %]\n", + "Balance : 1.16e-07 [ 0.00 %]\n", + "Adjust : 0.376521 [ 70.82 %]\n", + "Total : 0.531662 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22780 1803 327 46 23 9 12 \n", + "1 : 22806 1763 345 49 19 8 10 \n", + "2 : 22805 1759 360 43 12 12 9 \n", + "3 : 22740 1848 339 43 12 10 8 \n", + "\n", + "T : 91131 7173 1371 181 66 39 39 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0010e-02 sec\n", + "--- Collate = 1.1239e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.696776e-04 < 1.562500e-03 [14]\n", + "--- Max DT=3.205957e-01 > 1.000000e-01 [71296]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71296/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=63.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00166879 [ 0.32 %]\n", + "Velocity : 0.00436835 [ 0.83 %]\n", + "Force : 0.116039 [ 21.98 %]\n", + "Coefs : 0.0289078 [ 5.47 %]\n", + "Output : 0.0016881 [ 0.32 %]\n", + "Levels : 9.9385e-05 [ 0.02 %]\n", + "Report : 1.82e-07 [ 0.00 %]\n", + "Balance : 1.01e-07 [ 0.00 %]\n", + "Adjust : 0.375186 [ 71.06 %]\n", + "Total : 0.52801 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22779 1804 319 57 19 12 10 \n", + "1 : 22805 1758 347 53 15 14 8 \n", + "2 : 22806 1758 359 47 9 12 9 \n", + "3 : 22730 1854 342 47 10 9 8 \n", + "\n", + "T : 91120 7174 1367 204 53 47 35 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9943e-02 sec\n", + "--- Collate = 1.2936e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.179622e-05 < 1.562500e-03 [23]\n", + "--- Max DT=3.207760e-01 > 1.000000e-01 [71268]\n", + "----------------------------------------------------------------------\n", + " Component | low: 23/100000\n", + " Component | high: 71268/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=63.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00159787 [ 0.30 %]\n", + "Velocity : 0.00425234 [ 0.81 %]\n", + "Force : 0.11538 [ 21.93 %]\n", + "Coefs : 0.0296366 [ 5.63 %]\n", + "Output : 0.00174868 [ 0.33 %]\n", + "Levels : 0.000107358 [ 0.02 %]\n", + "Report : 1.96e-07 [ 0.00 %]\n", + "Balance : 1.34e-07 [ 0.00 %]\n", + "Adjust : 0.373425 [ 70.97 %]\n", + "Total : 0.526203 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22782 1801 322 53 21 11 10 \n", + "1 : 22796 1763 352 47 19 14 9 \n", + "2 : 22798 1773 349 45 15 10 10 \n", + "3 : 22725 1864 336 51 10 3 11 \n", + "\n", + "T : 91101 7201 1359 196 65 38 40 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9703e-02 sec\n", + "--- Collate = 1.0775e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.567654e-05 < 1.562500e-03 [31]\n", + "--- Max DT=3.209523e-01 > 1.000000e-01 [71251]\n", + "----------------------------------------------------------------------\n", + " Component | low: 31/100000\n", + " Component | high: 71251/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=63.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00158859 [ 0.30 %]\n", + "Velocity : 0.00402865 [ 0.76 %]\n", + "Force : 0.11618 [ 22.04 %]\n", + "Coefs : 0.0291415 [ 5.53 %]\n", + "Output : 0.00172243 [ 0.33 %]\n", + "Levels : 0.000101585 [ 0.02 %]\n", + "Report : 1.9e-07 [ 0.00 %]\n", + "Balance : 1.07e-07 [ 0.00 %]\n", + "Adjust : 0.374385 [ 71.01 %]\n", + "Total : 0.527203 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22788 1793 324 56 21 8 10 \n", + "1 : 22789 1773 354 45 15 12 12 \n", + "2 : 22797 1781 342 44 19 6 11 \n", + "3 : 22720 1872 332 56 6 6 8 \n", + "\n", + "T : 91094 7219 1352 201 61 32 41 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0101e-02 sec\n", + "--- Collate = 1.1054e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.865128e-05 < 1.562500e-03 [23]\n", + "--- Max DT=3.211245e-01 > 1.000000e-01 [71233]\n", + "----------------------------------------------------------------------\n", + " Component | low: 23/100000\n", + " Component | high: 71233/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=63.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00163593 [ 0.31 %]\n", + "Velocity : 0.00426302 [ 0.81 %]\n", + "Force : 0.116359 [ 22.09 %]\n", + "Coefs : 0.0288857 [ 5.48 %]\n", + "Output : 0.00170359 [ 0.32 %]\n", + "Levels : 9.6035e-05 [ 0.02 %]\n", + "Report : 1.057e-06 [ 0.00 %]\n", + "Balance : 2.43e-07 [ 0.00 %]\n", + "Adjust : 0.373852 [ 70.96 %]\n", + "Total : 0.52685 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22782 1791 330 58 23 6 10 \n", + "1 : 22790 1766 363 46 9 8 18 \n", + "2 : 22793 1787 344 37 21 7 11 \n", + "3 : 22709 1880 332 58 10 4 7 \n", + "\n", + "T : 91074 7224 1369 199 63 25 46 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0774e-02 sec\n", + "--- Collate = 1.2498e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.014037e-05 < 1.562500e-03 [20]\n", + "--- Max DT=3.212925e-01 > 1.000000e-01 [71219]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 71219/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=63.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00181414 [ 0.34 %]\n", + "Velocity : 0.00440836 [ 0.82 %]\n", + "Force : 0.115535 [ 21.47 %]\n", + "Coefs : 0.0299663 [ 5.57 %]\n", + "Output : 0.00177207 [ 0.33 %]\n", + "Levels : 0.000107668 [ 0.02 %]\n", + "Report : 1.48e-07 [ 0.00 %]\n", + "Balance : 1.53e-07 [ 0.00 %]\n", + "Adjust : 0.38444 [ 71.44 %]\n", + "Total : 0.5381 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22774 1802 330 53 25 9 7 \n", + "1 : 22783 1778 351 52 10 9 17 \n", + "2 : 22791 1789 337 44 19 9 11 \n", + "3 : 22703 1885 334 57 12 6 3 \n", + "\n", + "T : 91051 7254 1352 206 66 33 38 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9902e-02 sec\n", + "--- Collate = 1.1192e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.589167e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.214566e-01 > 1.000000e-01 [71207]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71207/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=63.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00177194 [ 0.34 %]\n", + "Velocity : 0.00405088 [ 0.78 %]\n", + "Force : 0.109215 [ 21.11 %]\n", + "Coefs : 0.0309882 [ 5.99 %]\n", + "Output : 0.00172175 [ 0.33 %]\n", + "Levels : 0.000106058 [ 0.02 %]\n", + "Report : 1.72e-07 [ 0.00 %]\n", + "Balance : 8.9e-08 [ 0.00 %]\n", + "Adjust : 0.369432 [ 71.41 %]\n", + "Total : 0.517339 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22773 1799 333 57 21 11 6 \n", + "1 : 22781 1774 358 49 11 13 14 \n", + "2 : 22799 1782 328 53 18 9 11 \n", + "3 : 22707 1873 345 55 15 4 1 \n", + "\n", + "T : 91060 7228 1364 214 65 37 32 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0025e-02 sec\n", + "--- Collate = 1.5023e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.408993e-05 < 1.562500e-03 [18]\n", + "--- Max DT=3.216167e-01 > 1.000000e-01 [71197]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 71197/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=64] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00165757 [ 0.26 %]\n", + "Velocity : 0.00420682 [ 0.65 %]\n", + "Force : 0.11207 [ 17.31 %]\n", + "Coefs : 0.0292739 [ 4.52 %]\n", + "Output : 0.126942 [ 19.61 %]\n", + "Levels : 0.000354388 [ 0.05 %]\n", + "Report : 7.69e-07 [ 0.00 %]\n", + "Balance : 3.05e-07 [ 0.00 %]\n", + "Adjust : 0.372767 [ 57.59 %]\n", + "Total : 0.647326 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22766 1807 330 60 16 14 7 \n", + "1 : 22785 1769 354 54 13 13 12 \n", + "2 : 22800 1786 323 50 22 8 11 \n", + "3 : 22703 1880 346 51 15 3 2 \n", + "\n", + "T : 91054 7242 1353 215 66 38 32 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9395e-02 sec\n", + "--- Collate = 1.3769e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.876942e-04 < 1.562500e-03 [19]\n", + "--- Max DT=3.217730e-01 > 1.000000e-01 [71190]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 71190/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=64.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00888039 [ 1.69 %]\n", + "Velocity : 0.00524927 [ 1.00 %]\n", + "Force : 0.112721 [ 21.49 %]\n", + "Coefs : 0.0299996 [ 5.72 %]\n", + "Output : 0.00166497 [ 0.32 %]\n", + "Levels : 8.9742e-05 [ 0.02 %]\n", + "Report : 1.81e-07 [ 0.00 %]\n", + "Balance : 9.9e-08 [ 0.00 %]\n", + "Adjust : 0.365843 [ 69.75 %]\n", + "Total : 0.524503 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22764 1814 327 59 14 10 12 \n", + "1 : 22780 1772 354 55 18 10 11 \n", + "2 : 22808 1777 323 56 16 10 10 \n", + "3 : 22699 1881 353 45 16 2 4 \n", + "\n", + "T : 91051 7244 1357 215 64 32 37 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.5589e-02 sec\n", + "--- Collate = 1.3136e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.967655e-05 < 1.562500e-03 [21]\n", + "--- Max DT=3.219250e-01 > 1.000000e-01 [71178]\n", + "----------------------------------------------------------------------\n", + " Component | low: 21/100000\n", + " Component | high: 71178/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=64.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0016025 [ 0.31 %]\n", + "Velocity : 0.00455728 [ 0.89 %]\n", + "Force : 0.110767 [ 21.75 %]\n", + "Coefs : 0.0300997 [ 5.91 %]\n", + "Output : 0.00176093 [ 0.35 %]\n", + "Levels : 0.00011026 [ 0.02 %]\n", + "Report : 2.34e-07 [ 0.00 %]\n", + "Balance : 1.17e-07 [ 0.00 %]\n", + "Adjust : 0.36039 [ 70.76 %]\n", + "Total : 0.509344 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22763 1808 341 52 14 9 13 \n", + "1 : 22788 1769 347 61 17 8 10 \n", + "2 : 22818 1768 317 60 18 9 10 \n", + "3 : 22702 1875 350 57 7 3 6 \n", + "\n", + "T : 91071 7220 1355 230 56 29 39 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9482e-02 sec\n", + "--- Collate = 1.5128e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.339299e-05 < 1.562500e-03 [18]\n", + "--- Max DT=3.220729e-01 > 1.000000e-01 [71165]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 71165/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=64.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00189151 [ 0.38 %]\n", + "Velocity : 0.00457329 [ 0.92 %]\n", + "Force : 0.100242 [ 20.18 %]\n", + "Coefs : 0.0220353 [ 4.44 %]\n", + "Output : 0.00180141 [ 0.36 %]\n", + "Levels : 0.000118983 [ 0.02 %]\n", + "Report : 1.75e-07 [ 0.00 %]\n", + "Balance : 1.41e-07 [ 0.00 %]\n", + "Adjust : 0.366047 [ 73.69 %]\n", + "Total : 0.496763 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22763 1812 342 48 11 11 13 \n", + "1 : 22788 1768 353 58 18 5 10 \n", + "2 : 22824 1757 325 52 26 4 12 \n", + "3 : 22699 1875 358 51 4 8 5 \n", + "\n", + "T : 91074 7212 1378 209 59 28 40 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9303e-02 sec\n", + "--- Collate = 1.5672e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.516542e-05 < 1.562500e-03 [19]\n", + "--- Max DT=3.222167e-01 > 1.000000e-01 [71156]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 71156/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=64.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00182475 [ 0.35 %]\n", + "Velocity : 0.00475773 [ 0.91 %]\n", + "Force : 0.111385 [ 21.26 %]\n", + "Coefs : 0.0282694 [ 5.39 %]\n", + "Output : 0.00193642 [ 0.37 %]\n", + "Levels : 0.000128169 [ 0.02 %]\n", + "Report : 2.5e-07 [ 0.00 %]\n", + "Balance : 1.48e-07 [ 0.00 %]\n", + "Adjust : 0.375667 [ 71.69 %]\n", + "Total : 0.524024 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22769 1803 346 50 12 11 9 \n", + "1 : 22775 1784 346 57 19 11 8 \n", + "2 : 22827 1754 330 53 17 10 9 \n", + "3 : 22701 1877 354 49 6 3 10 \n", + "\n", + "T : 91072 7218 1376 209 54 35 36 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9084e-02 sec\n", + "--- Collate = 1.5032e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.182781e-04 < 1.562500e-03 [18]\n", + "--- Max DT=3.223564e-01 > 1.000000e-01 [71146]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 71146/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=64.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00194407 [ 0.38 %]\n", + "Velocity : 0.00459582 [ 0.89 %]\n", + "Force : 0.111512 [ 21.55 %]\n", + "Coefs : 0.0286 [ 5.53 %]\n", + "Output : 0.00187509 [ 0.36 %]\n", + "Levels : 0.000117131 [ 0.02 %]\n", + "Report : 2.74e-07 [ 0.00 %]\n", + "Balance : 1.6e-07 [ 0.00 %]\n", + "Adjust : 0.368825 [ 71.27 %]\n", + "Total : 0.517523 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22760 1812 347 51 16 7 7 \n", + "1 : 22770 1786 351 51 25 6 11 \n", + "2 : 22833 1739 333 58 17 9 11 \n", + "3 : 22704 1870 360 43 11 5 7 \n", + "\n", + "T : 91067 7207 1391 203 69 27 36 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9192e-02 sec\n", + "--- Collate = 1.5056e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.297179e-05 < 1.562500e-03 [18]\n", + "--- Max DT=3.224917e-01 > 1.000000e-01 [71130]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 71130/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=64.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00192623 [ 0.37 %]\n", + "Velocity : 0.00472647 [ 0.91 %]\n", + "Force : 0.111906 [ 21.58 %]\n", + "Coefs : 0.0285504 [ 5.51 %]\n", + "Output : 0.00188103 [ 0.36 %]\n", + "Levels : 0.000122979 [ 0.02 %]\n", + "Report : 2.68e-07 [ 0.00 %]\n", + "Balance : 1.4e-07 [ 0.00 %]\n", + "Adjust : 0.369349 [ 71.23 %]\n", + "Total : 0.518517 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22759 1810 350 52 18 6 5 \n", + "1 : 22766 1793 344 52 23 12 10 \n", + "2 : 22820 1749 343 52 15 13 8 \n", + "3 : 22702 1872 360 41 12 6 7 \n", + "\n", + "T : 91047 7224 1397 197 68 37 30 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9565e-02 sec\n", + "--- Collate = 1.5367e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.423490e-04 < 1.562500e-03 [16]\n", + "--- Max DT=3.226232e-01 > 1.000000e-01 [71109]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71109/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=64.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00189791 [ 0.36 %]\n", + "Velocity : 0.00481978 [ 0.92 %]\n", + "Force : 0.112424 [ 21.54 %]\n", + "Coefs : 0.0283639 [ 5.43 %]\n", + "Output : 0.00185478 [ 0.36 %]\n", + "Levels : 0.000145512 [ 0.03 %]\n", + "Report : 2.55e-07 [ 0.00 %]\n", + "Balance : 1.56e-07 [ 0.00 %]\n", + "Adjust : 0.372328 [ 71.34 %]\n", + "Total : 0.521889 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22763 1807 343 56 16 7 8 \n", + "1 : 22765 1795 350 45 17 15 13 \n", + "2 : 22823 1746 340 51 21 10 9 \n", + "3 : 22707 1865 362 43 9 10 4 \n", + "\n", + "T : 91058 7213 1395 195 63 42 34 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9243e-02 sec\n", + "--- Collate = 1.4248e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.306831e-06 < 1.562500e-03 [27]\n", + "--- Max DT=3.227505e-01 > 1.000000e-01 [71090]\n", + "----------------------------------------------------------------------\n", + " Component | low: 27/100000\n", + " Component | high: 71090/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=64.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00189653 [ 0.37 %]\n", + "Velocity : 0.00486414 [ 0.94 %]\n", + "Force : 0.110862 [ 21.48 %]\n", + "Coefs : 0.0288358 [ 5.59 %]\n", + "Output : 0.00179703 [ 0.35 %]\n", + "Levels : 0.000137479 [ 0.03 %]\n", + "Report : 2.59e-07 [ 0.00 %]\n", + "Balance : 1.5e-07 [ 0.00 %]\n", + "Adjust : 0.367693 [ 71.24 %]\n", + "Total : 0.516147 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22761 1807 343 55 15 8 11 \n", + "1 : 22770 1792 341 47 20 10 20 \n", + "2 : 22825 1742 341 54 18 8 12 \n", + "3 : 22697 1875 360 44 11 7 6 \n", + "\n", + "T : 91053 7216 1385 200 64 33 49 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9114e-02 sec\n", + "--- Collate = 1.4738e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.006126e-05 < 1.562500e-03 [32]\n", + "--- Max DT=3.228743e-01 > 1.000000e-01 [71081]\n", + "----------------------------------------------------------------------\n", + " Component | low: 32/100000\n", + " Component | high: 71081/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=64.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0018411 [ 0.36 %]\n", + "Velocity : 0.00469579 [ 0.91 %]\n", + "Force : 0.111334 [ 21.50 %]\n", + "Coefs : 0.0283662 [ 5.48 %]\n", + "Output : 0.00180802 [ 0.35 %]\n", + "Levels : 0.000136646 [ 0.03 %]\n", + "Report : 2.52e-07 [ 0.00 %]\n", + "Balance : 1.55e-07 [ 0.00 %]\n", + "Adjust : 0.369581 [ 71.37 %]\n", + "Total : 0.517817 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22770 1795 343 58 14 10 10 \n", + "1 : 22766 1795 338 53 19 9 20 \n", + "2 : 22820 1749 340 54 16 8 13 \n", + "3 : 22708 1868 351 47 16 3 7 \n", + "\n", + "T : 91064 7207 1372 212 65 30 50 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9527e-02 sec\n", + "--- Collate = 1.3633e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.703598e-05 < 1.562500e-03 [17]\n", + "--- Max DT=3.229944e-01 > 1.000000e-01 [71075]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71075/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=65] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00179928 [ 0.27 %]\n", + "Velocity : 0.00468784 [ 0.70 %]\n", + "Force : 0.112541 [ 16.84 %]\n", + "Coefs : 0.0276745 [ 4.14 %]\n", + "Output : 0.135606 [ 20.29 %]\n", + "Levels : 0.0151238 [ 2.26 %]\n", + "Report : 5.92e-07 [ 0.00 %]\n", + "Balance : 4.5e-07 [ 0.00 %]\n", + "Adjust : 0.370926 [ 55.49 %]\n", + "Total : 0.668416 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22765 1803 343 54 10 15 10 \n", + "1 : 22767 1795 341 50 18 13 16 \n", + "2 : 22829 1739 335 59 18 8 12 \n", + "3 : 22714 1869 342 49 16 5 5 \n", + "\n", + "T : 91075 7206 1361 212 62 41 43 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.7603e-02 sec\n", + "--- Collate = 1.4603e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.640538e-06 < 1.562500e-03 [9]\n", + "--- Max DT=3.231109e-01 > 1.000000e-01 [71093]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71093/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=65.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0021629 [ 0.42 %]\n", + "Velocity : 0.0066686 [ 1.29 %]\n", + "Force : 0.110406 [ 21.32 %]\n", + "Coefs : 0.0270044 [ 5.22 %]\n", + "Output : 0.00187723 [ 0.36 %]\n", + "Levels : 0.000144892 [ 0.03 %]\n", + "Report : 4.71e-07 [ 0.00 %]\n", + "Balance : 1.8e-07 [ 0.00 %]\n", + "Adjust : 0.369418 [ 71.35 %]\n", + "Total : 0.517739 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22771 1798 337 60 14 11 9 \n", + "1 : 22770 1787 344 51 20 17 11 \n", + "2 : 22813 1754 342 49 18 17 7 \n", + "3 : 22700 1878 346 50 14 8 4 \n", + "\n", + "T : 91054 7217 1369 210 66 53 31 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9734e-02 sec\n", + "--- Collate = 1.1176e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.430502e-06 < 1.562500e-03 [17]\n", + "--- Max DT=3.232237e-01 > 1.000000e-01 [71082]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71082/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=65.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00176327 [ 0.33 %]\n", + "Velocity : 0.00466921 [ 0.88 %]\n", + "Force : 0.112102 [ 21.22 %]\n", + "Coefs : 0.0284316 [ 5.38 %]\n", + "Output : 0.00184544 [ 0.35 %]\n", + "Levels : 8.6576e-05 [ 0.02 %]\n", + "Report : 1.75e-07 [ 0.00 %]\n", + "Balance : 1.26e-07 [ 0.00 %]\n", + "Adjust : 0.37943 [ 71.81 %]\n", + "Total : 0.528385 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22774 1798 335 55 19 10 9 \n", + "1 : 22768 1787 344 46 31 14 10 \n", + "2 : 22816 1755 339 50 17 14 9 \n", + "3 : 22692 1890 343 46 14 11 4 \n", + "\n", + "T : 91050 7230 1361 197 81 49 32 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9711e-02 sec\n", + "--- Collate = 1.1311e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.116596e-05 < 1.562500e-03 [22]\n", + "--- Max DT=3.233333e-01 > 1.000000e-01 [71088]\n", + "----------------------------------------------------------------------\n", + " Component | low: 22/100000\n", + " Component | high: 71088/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=65.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00162728 [ 0.31 %]\n", + "Velocity : 0.00444505 [ 0.83 %]\n", + "Force : 0.115773 [ 21.72 %]\n", + "Coefs : 0.0292823 [ 5.49 %]\n", + "Output : 0.00181589 [ 0.34 %]\n", + "Levels : 8.9453e-05 [ 0.02 %]\n", + "Report : 1.61e-07 [ 0.00 %]\n", + "Balance : 9.3e-08 [ 0.00 %]\n", + "Adjust : 0.37987 [ 71.28 %]\n", + "Total : 0.532956 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22777 1794 336 54 21 7 11 \n", + "1 : 22765 1793 341 51 26 10 14 \n", + "2 : 22815 1754 336 55 19 10 11 \n", + "3 : 22691 1892 343 47 13 6 8 \n", + "\n", + "T : 91048 7233 1356 207 79 33 44 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9867e-02 sec\n", + "--- Collate = 1.0882e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.115297e-05 < 1.562500e-03 [26]\n", + "--- Max DT=3.234395e-01 > 1.000000e-01 [71072]\n", + "----------------------------------------------------------------------\n", + " Component | low: 26/100000\n", + " Component | high: 71072/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=65.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00159001 [ 0.30 %]\n", + "Velocity : 0.00440267 [ 0.83 %]\n", + "Force : 0.115825 [ 21.76 %]\n", + "Coefs : 0.0289068 [ 5.43 %]\n", + "Output : 0.00172843 [ 0.32 %]\n", + "Levels : 0.000108462 [ 0.02 %]\n", + "Report : 1.63e-07 [ 0.00 %]\n", + "Balance : 1.06e-07 [ 0.00 %]\n", + "Adjust : 0.379596 [ 71.32 %]\n", + "Total : 0.532207 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22770 1793 348 46 22 8 13 \n", + "1 : 22764 1797 340 61 13 12 13 \n", + "2 : 22812 1761 336 46 24 6 15 \n", + "3 : 22678 1906 341 48 10 7 10 \n", + "\n", + "T : 91024 7257 1365 201 69 33 51 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info in comp, mlevel=6--------------------------------------\n", + "----------------------------------------------------------------------\n", + " COM: 1.230179e-03\n", + " Position: 1.983432e+01\n", + " --------------------------------------------------\n", + " *** fix pos : 1.979623e+01 \n", + " --------------------------------------------------\n", + " Ang mom: 1.882881e+01\n", + " Zero: 1.320244e+00\n", + " Accel: 1.708641e+01\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " Interaction: 4.040196e-03\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " External: 3.585418e-03\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " Expand: 1.468824e+01\n", + " Force: 1.843833e+01\n", + " Elapsed: 3.000004e+02\n", + "----------------------------------------------------------------------\n", + "\n", + "mstep/Mstep=7/64\n", + "0 |657 1 |654 2 |1308 3 |2616 4 |5233 \n", + "5 |10466 6 |20932 \n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0325e-02 sec\n", + "--- Collate = 1.0747e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.505491e-05 < 1.562500e-03 [29]\n", + "--- Max DT=3.235422e-01 > 1.000000e-01 [71063]\n", + "----------------------------------------------------------------------\n", + " Component | low: 29/100000\n", + " Component | high: 71063/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=65.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00159895 [ 0.30 %]\n", + "Velocity : 0.00433324 [ 0.81 %]\n", + "Force : 0.116141 [ 21.72 %]\n", + "Coefs : 0.0284855 [ 5.33 %]\n", + "Output : 0.00186377 [ 0.35 %]\n", + "Levels : 0.000133366 [ 0.02 %]\n", + "Report : 1.52e-07 [ 0.00 %]\n", + "Balance : 9.3e-08 [ 0.00 %]\n", + "Adjust : 0.382205 [ 71.46 %]\n", + "Total : 0.534817 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22774 1790 344 53 16 11 12 \n", + "1 : 22764 1796 333 67 14 13 13 \n", + "2 : 22801 1771 338 46 19 12 13 \n", + "3 : 22675 1914 334 51 8 6 12 \n", + "\n", + "T : 91014 7271 1349 217 57 42 50 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0035e-02 sec\n", + "--- Collate = 1.4661e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.321062e-05 < 1.562500e-03 [20]\n", + "--- Max DT=3.236412e-01 > 1.000000e-01 [71041]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 71041/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=65.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00192701 [ 0.36 %]\n", + "Velocity : 0.00469826 [ 0.89 %]\n", + "Force : 0.115675 [ 21.85 %]\n", + "Coefs : 0.0287142 [ 5.42 %]\n", + "Output : 0.00175164 [ 0.33 %]\n", + "Levels : 8.9957e-05 [ 0.02 %]\n", + "Report : 1.73e-07 [ 0.00 %]\n", + "Balance : 1.3e-07 [ 0.00 %]\n", + "Adjust : 0.376446 [ 71.11 %]\n", + "Total : 0.529353 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22776 1780 353 49 21 9 12 \n", + "1 : 22768 1795 328 62 22 11 14 \n", + "2 : 22803 1769 337 50 19 10 12 \n", + "3 : 22677 1909 336 47 13 9 9 \n", + "\n", + "T : 91024 7253 1354 208 75 39 47 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0246e-02 sec\n", + "--- Collate = 2.5953e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.225874e-05 < 1.562500e-03 [24]\n", + "--- Max DT=3.237361e-01 > 1.000000e-01 [71014]\n", + "----------------------------------------------------------------------\n", + " Component | low: 24/100000\n", + " Component | high: 71014/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=65.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00177384 [ 0.33 %]\n", + "Velocity : 0.00477204 [ 0.89 %]\n", + "Force : 0.115313 [ 21.61 %]\n", + "Coefs : 0.0301891 [ 5.66 %]\n", + "Output : 0.00173827 [ 0.33 %]\n", + "Levels : 8.3422e-05 [ 0.02 %]\n", + "Report : 4.89e-07 [ 0.00 %]\n", + "Balance : 1.18e-07 [ 0.00 %]\n", + "Adjust : 0.379693 [ 71.15 %]\n", + "Total : 0.533621 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22773 1782 354 51 16 12 12 \n", + "1 : 22778 1787 327 60 21 18 9 \n", + "2 : 22806 1757 348 47 19 13 10 \n", + "3 : 22671 1912 339 47 15 7 9 \n", + "\n", + "T : 91028 7238 1368 205 71 50 40 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9942e-02 sec\n", + "--- Collate = 1.3316e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.343446e-04 < 1.562500e-03 [20]\n", + "--- Max DT=3.238272e-01 > 1.000000e-01 [70993]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 70993/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=65.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00185577 [ 0.35 %]\n", + "Velocity : 0.00448959 [ 0.84 %]\n", + "Force : 0.114594 [ 21.51 %]\n", + "Coefs : 0.0301578 [ 5.66 %]\n", + "Output : 0.00174815 [ 0.33 %]\n", + "Levels : 0.000102213 [ 0.02 %]\n", + "Report : 1.86e-07 [ 0.00 %]\n", + "Balance : 1.17e-07 [ 0.00 %]\n", + "Adjust : 0.379724 [ 71.28 %]\n", + "Total : 0.532727 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22773 1779 360 51 12 12 13 \n", + "1 : 22783 1780 332 62 19 13 11 \n", + "2 : 22809 1750 352 51 19 8 11 \n", + "3 : 22672 1907 347 45 12 8 9 \n", + "\n", + "T : 91037 7216 1391 209 62 41 44 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.8497e-02 sec\n", + "--- Collate = 1.4213e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.571479e-05 < 1.562500e-03 [22]\n", + "--- Max DT=3.239141e-01 > 1.000000e-01 [70982]\n", + "----------------------------------------------------------------------\n", + " Component | low: 22/100000\n", + " Component | high: 70982/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=65.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0017556 [ 0.33 %]\n", + "Velocity : 0.00429563 [ 0.81 %]\n", + "Force : 0.11357 [ 21.49 %]\n", + "Coefs : 0.0297035 [ 5.62 %]\n", + "Output : 0.00166328 [ 0.31 %]\n", + "Levels : 0.000115872 [ 0.02 %]\n", + "Report : 4.07e-07 [ 0.00 %]\n", + "Balance : 1.42e-07 [ 0.00 %]\n", + "Adjust : 0.377399 [ 71.40 %]\n", + "Total : 0.528555 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22764 1791 357 54 12 10 12 \n", + "1 : 22790 1767 343 58 20 11 11 \n", + "2 : 22801 1766 348 46 24 3 12 \n", + "3 : 22671 1906 346 45 13 8 11 \n", + "\n", + "T : 91026 7230 1394 203 69 32 46 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9163e-02 sec\n", + "--- Collate = 1.4419e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.542055e-06 < 1.562500e-03 [18]\n", + "--- Max DT=3.239970e-01 > 1.000000e-01 [70988]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 70988/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=66] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00206837 [ 0.34 %]\n", + "Velocity : 0.00505589 [ 0.84 %]\n", + "Force : 0.111081 [ 18.37 %]\n", + "Coefs : 0.0274896 [ 4.55 %]\n", + "Output : 0.0906053 [ 14.99 %]\n", + "Levels : 0.00012468 [ 0.02 %]\n", + "Report : 3.75e-07 [ 0.00 %]\n", + "Balance : 3.06e-07 [ 0.00 %]\n", + "Adjust : 0.368056 [ 60.88 %]\n", + "Total : 0.604539 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22762 1799 354 57 12 7 9 \n", + "1 : 22781 1773 347 59 17 10 13 \n", + "2 : 22799 1770 346 43 23 10 9 \n", + "3 : 22668 1908 345 48 13 8 10 \n", + "\n", + "T : 91010 7250 1392 207 65 35 41 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9518e-02 sec\n", + "--- Collate = 1.1323e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.149020e-04 < 1.562500e-03 [15]\n", + "--- Max DT=3.240763e-01 > 1.000000e-01 [70974]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 70974/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=66.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00181512 [ 0.33 %]\n", + "Velocity : 0.00383689 [ 0.69 %]\n", + "Force : 0.112406 [ 20.26 %]\n", + "Coefs : 0.0608904 [ 10.98 %]\n", + "Output : 0.00185501 [ 0.33 %]\n", + "Levels : 9.5733e-05 [ 0.02 %]\n", + "Report : 1.67e-07 [ 0.00 %]\n", + "Balance : 1.12e-07 [ 0.00 %]\n", + "Adjust : 0.373728 [ 67.38 %]\n", + "Total : 0.554693 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22752 1809 362 46 14 9 8 \n", + "1 : 22786 1765 350 55 24 10 10 \n", + "2 : 22787 1784 345 44 21 10 9 \n", + "3 : 22684 1892 344 47 16 8 9 \n", + "\n", + "T : 91009 7250 1401 192 75 37 36 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9406e-02 sec\n", + "--- Collate = 1.1102e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.779830e-05 < 1.562500e-03 [20]\n", + "--- Max DT=3.241518e-01 > 1.000000e-01 [70957]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 70957/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=66.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00164332 [ 0.31 %]\n", + "Velocity : 0.00406116 [ 0.77 %]\n", + "Force : 0.115526 [ 21.91 %]\n", + "Coefs : 0.0291737 [ 5.53 %]\n", + "Output : 0.00169769 [ 0.32 %]\n", + "Levels : 0.000103508 [ 0.02 %]\n", + "Report : 1.69e-07 [ 0.00 %]\n", + "Balance : 1.07e-07 [ 0.00 %]\n", + "Adjust : 0.374979 [ 71.12 %]\n", + "Total : 0.527241 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22762 1800 362 45 15 9 7 \n", + "1 : 22780 1771 351 58 21 10 9 \n", + "2 : 22788 1783 349 41 14 16 9 \n", + "3 : 22684 1900 333 50 14 11 8 \n", + "\n", + "T : 91014 7254 1395 194 64 46 33 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9715e-02 sec\n", + "--- Collate = 1.1190e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.232069e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.242235e-01 > 1.000000e-01 [70952]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 70952/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=66.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00164163 [ 0.31 %]\n", + "Velocity : 0.00455565 [ 0.86 %]\n", + "Force : 0.115989 [ 21.98 %]\n", + "Coefs : 0.0291322 [ 5.52 %]\n", + "Output : 0.00179864 [ 0.34 %]\n", + "Levels : 9.7081e-05 [ 0.02 %]\n", + "Report : 1.74e-07 [ 0.00 %]\n", + "Balance : 1.27e-07 [ 0.00 %]\n", + "Adjust : 0.374426 [ 70.95 %]\n", + "Total : 0.527697 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22757 1808 356 46 19 7 7 \n", + "1 : 22786 1773 343 57 25 8 8 \n", + "2 : 22782 1789 356 39 12 6 16 \n", + "3 : 22689 1893 329 52 22 3 12 \n", + "\n", + "T : 91014 7263 1384 194 78 24 43 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9210e-02 sec\n", + "--- Collate = 1.3799e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.262618e-05 < 1.562500e-03 [27]\n", + "--- Max DT=3.242916e-01 > 1.000000e-01 [70931]\n", + "----------------------------------------------------------------------\n", + " Component | low: 27/100000\n", + " Component | high: 70931/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=66.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00160864 [ 0.31 %]\n", + "Velocity : 0.00454682 [ 0.87 %]\n", + "Force : 0.114632 [ 21.83 %]\n", + "Coefs : 0.0293137 [ 5.58 %]\n", + "Output : 0.00165114 [ 0.31 %]\n", + "Levels : 0.000117346 [ 0.02 %]\n", + "Report : 3.98e-07 [ 0.00 %]\n", + "Balance : 1.78e-07 [ 0.00 %]\n", + "Adjust : 0.373229 [ 71.07 %]\n", + "Total : 0.525154 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22754 1816 350 47 15 11 7 \n", + "1 : 22782 1778 348 55 18 7 12 \n", + "2 : 22775 1799 349 41 13 9 14 \n", + "3 : 22685 1901 328 50 13 14 9 \n", + "\n", + "T : 90996 7294 1375 193 59 41 42 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9085e-02 sec\n", + "--- Collate = 1.6032e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.645824e-07 < 1.562500e-03 [22]\n", + "--- Max DT=3.243558e-01 > 1.000000e-01 [70911]\n", + "----------------------------------------------------------------------\n", + " Component | low: 22/100000\n", + " Component | high: 70911/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=66.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00187204 [ 0.36 %]\n", + "Velocity : 0.0049561 [ 0.96 %]\n", + "Force : 0.110751 [ 21.38 %]\n", + "Coefs : 0.0285328 [ 5.51 %]\n", + "Output : 0.0018605 [ 0.36 %]\n", + "Levels : 0.000124664 [ 0.02 %]\n", + "Report : 2e-07 [ 0.00 %]\n", + "Balance : 2.12e-07 [ 0.00 %]\n", + "Adjust : 0.369885 [ 71.40 %]\n", + "Total : 0.518038 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22757 1808 357 50 11 7 10 \n", + "1 : 22772 1790 349 57 12 7 13 \n", + "2 : 22776 1800 342 45 14 7 16 \n", + "3 : 22687 1898 326 55 12 10 12 \n", + "\n", + "T : 90992 7296 1374 207 49 31 51 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9840e-02 sec\n", + "--- Collate = 1.0929e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.412123e-05 < 1.562500e-03 [22]\n", + "--- Max DT=3.244161e-01 > 1.000000e-01 [70909]\n", + "----------------------------------------------------------------------\n", + " Component | low: 22/100000\n", + " Component | high: 70909/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=66.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00183967 [ 0.35 %]\n", + "Velocity : 0.00474142 [ 0.90 %]\n", + "Force : 0.114281 [ 21.73 %]\n", + "Coefs : 0.0285661 [ 5.43 %]\n", + "Output : 0.00183788 [ 0.35 %]\n", + "Levels : 9.2662e-05 [ 0.02 %]\n", + "Report : 1.71e-07 [ 0.00 %]\n", + "Balance : 1.26e-07 [ 0.00 %]\n", + "Adjust : 0.374502 [ 71.21 %]\n", + "Total : 0.525913 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22751 1818 355 46 13 10 7 \n", + "1 : 22769 1791 346 63 12 9 10 \n", + "2 : 22780 1801 334 42 20 13 10 \n", + "3 : 22686 1897 326 54 16 9 12 \n", + "\n", + "T : 90986 7307 1361 205 61 41 39 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9676e-02 sec\n", + "--- Collate = 1.4472e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.277054e-04 < 1.562500e-03 [17]\n", + "--- Max DT=3.244725e-01 > 1.000000e-01 [70885]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 70885/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=66.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00184632 [ 0.35 %]\n", + "Velocity : 0.00506441 [ 0.95 %]\n", + "Force : 0.115671 [ 21.64 %]\n", + "Coefs : 0.0292795 [ 5.48 %]\n", + "Output : 0.00180991 [ 0.34 %]\n", + "Levels : 0.000111327 [ 0.02 %]\n", + "Report : 2.81e-07 [ 0.00 %]\n", + "Balance : 1.7e-07 [ 0.00 %]\n", + "Adjust : 0.380571 [ 71.21 %]\n", + "Total : 0.534409 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22737 1838 349 45 12 10 9 \n", + "1 : 22766 1798 346 56 14 11 9 \n", + "2 : 22771 1801 347 42 20 11 8 \n", + "3 : 22678 1908 326 51 18 7 12 \n", + "\n", + "T : 90952 7345 1368 194 64 39 38 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9580e-02 sec\n", + "--- Collate = 1.1227e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.503635e-05 < 1.562500e-03 [19]\n", + "--- Max DT=3.245249e-01 > 1.000000e-01 [70878]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 70878/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=66.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00199948 [ 0.38 %]\n", + "Velocity : 0.00456454 [ 0.86 %]\n", + "Force : 0.115735 [ 21.90 %]\n", + "Coefs : 0.0294017 [ 5.56 %]\n", + "Output : 0.00173643 [ 0.33 %]\n", + "Levels : 0.000103032 [ 0.02 %]\n", + "Report : 4.4e-07 [ 0.00 %]\n", + "Balance : 1.15e-07 [ 0.00 %]\n", + "Adjust : 0.374774 [ 70.93 %]\n", + "Total : 0.528369 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22739 1841 349 38 16 8 9 \n", + "1 : 22768 1796 343 62 13 9 9 \n", + "2 : 22773 1797 348 44 20 10 8 \n", + "3 : 22671 1915 325 54 16 11 8 \n", + "\n", + "T : 90951 7349 1365 198 65 38 34 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.8932e-02 sec\n", + "--- Collate = 1.1829e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.340465e-05 < 1.562500e-03 [18]\n", + "--- Max DT=3.245735e-01 > 1.000000e-01 [70877]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 70877/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=66.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0017948 [ 0.34 %]\n", + "Velocity : 0.00459039 [ 0.86 %]\n", + "Force : 0.115648 [ 21.61 %]\n", + "Coefs : 0.0294946 [ 5.51 %]\n", + "Output : 0.00186528 [ 0.35 %]\n", + "Levels : 0.000114752 [ 0.02 %]\n", + "Report : 4.79e-07 [ 0.00 %]\n", + "Balance : 1.26e-07 [ 0.00 %]\n", + "Adjust : 0.38148 [ 71.30 %]\n", + "Total : 0.535044 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22733 1853 342 41 15 5 11 \n", + "1 : 22757 1814 339 57 15 10 8 \n", + "2 : 22774 1796 352 42 15 13 8 \n", + "3 : 22667 1913 329 50 23 7 11 \n", + "\n", + "T : 90931 7376 1362 190 68 35 38 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9198e-02 sec\n", + "--- Collate = 1.1963e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.435733e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.246184e-01 > 1.000000e-01 [70887]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 70887/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=67] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00177432 [ 0.28 %]\n", + "Velocity : 0.00446113 [ 0.71 %]\n", + "Force : 0.114794 [ 18.35 %]\n", + "Coefs : 0.028675 [ 4.58 %]\n", + "Output : 0.0998549 [ 15.96 %]\n", + "Levels : 0.000114108 [ 0.02 %]\n", + "Report : 2.15e-07 [ 0.00 %]\n", + "Balance : 1.95e-07 [ 0.00 %]\n", + "Adjust : 0.375877 [ 60.08 %]\n", + "Total : 0.625605 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22725 1867 338 42 13 7 8 \n", + "1 : 22748 1824 336 54 23 9 6 \n", + "2 : 22762 1803 356 45 16 11 7 \n", + "3 : 22662 1910 330 56 27 5 10 \n", + "\n", + "T : 90897 7404 1360 197 79 32 31 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9303e-02 sec\n", + "--- Collate = 1.0885e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.033910e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.246595e-01 > 1.000000e-01 [70890]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 70890/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=67.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0016588 [ 0.30 %]\n", + "Velocity : 0.00466666 [ 0.86 %]\n", + "Force : 0.111313 [ 20.44 %]\n", + "Coefs : 0.0598934 [ 11.00 %]\n", + "Output : 0.00174136 [ 0.32 %]\n", + "Levels : 8.8429e-05 [ 0.02 %]\n", + "Report : 2.48e-07 [ 0.00 %]\n", + "Balance : 1.04e-07 [ 0.00 %]\n", + "Adjust : 0.365141 [ 67.05 %]\n", + "Total : 0.544563 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22723 1862 342 46 13 6 8 \n", + "1 : 22754 1817 333 54 25 14 3 \n", + "2 : 22754 1817 348 48 17 6 10 \n", + "3 : 22649 1925 327 59 24 10 6 \n", + "\n", + "T : 90880 7421 1350 207 79 36 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9424e-02 sec\n", + "--- Collate = 1.1358e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.633685e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.246970e-01 > 1.000000e-01 [70903]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 70903/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=67.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00156074 [ 0.30 %]\n", + "Velocity : 0.00406518 [ 0.79 %]\n", + "Force : 0.11166 [ 21.70 %]\n", + "Coefs : 0.0290042 [ 5.64 %]\n", + "Output : 0.00169665 [ 0.33 %]\n", + "Levels : 8.8385e-05 [ 0.02 %]\n", + "Report : 2.38e-07 [ 0.00 %]\n", + "Balance : 9.7e-08 [ 0.00 %]\n", + "Adjust : 0.366524 [ 71.22 %]\n", + "Total : 0.514659 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22711 1875 342 43 16 6 7 \n", + "1 : 22742 1824 339 58 25 4 8 \n", + "2 : 22750 1821 349 50 13 7 10 \n", + "3 : 22662 1909 327 61 21 15 5 \n", + "\n", + "T : 90865 7429 1357 212 75 32 30 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9229e-02 sec\n", + "--- Collate = 1.1486e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.696699e-06 < 1.562500e-03 [20]\n", + "--- Max DT=3.247308e-01 > 1.000000e-01 [70895]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 70895/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=67.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0015725 [ 0.30 %]\n", + "Velocity : 0.00447513 [ 0.86 %]\n", + "Force : 0.113742 [ 21.84 %]\n", + "Coefs : 0.0299739 [ 5.76 %]\n", + "Output : 0.00171033 [ 0.33 %]\n", + "Levels : 9.6332e-05 [ 0.02 %]\n", + "Report : 2.27e-07 [ 0.00 %]\n", + "Balance : 8e-08 [ 0.00 %]\n", + "Adjust : 0.369188 [ 70.89 %]\n", + "Total : 0.520818 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22704 1878 350 41 15 5 7 \n", + "1 : 22718 1853 335 58 20 6 10 \n", + "2 : 22758 1820 344 47 17 4 10 \n", + "3 : 22667 1904 336 51 21 13 8 \n", + "\n", + "T : 90847 7455 1365 197 73 28 35 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9618e-02 sec\n", + "--- Collate = 1.1860e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.511011e-04 < 1.562500e-03 [16]\n", + "--- Max DT=3.247609e-01 > 1.000000e-01 [70896]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 70896/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=67.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00173006 [ 0.33 %]\n", + "Velocity : 0.00449743 [ 0.87 %]\n", + "Force : 0.112137 [ 21.71 %]\n", + "Coefs : 0.0294743 [ 5.71 %]\n", + "Output : 0.00166756 [ 0.32 %]\n", + "Levels : 9.1068e-05 [ 0.02 %]\n", + "Report : 2.32e-07 [ 0.00 %]\n", + "Balance : 1.06e-07 [ 0.00 %]\n", + "Adjust : 0.366847 [ 71.03 %]\n", + "Total : 0.516502 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22707 1870 351 45 17 4 6 \n", + "1 : 22717 1857 333 57 18 6 12 \n", + "2 : 22758 1819 347 48 15 8 5 \n", + "3 : 22665 1904 340 50 17 13 11 \n", + "\n", + "T : 90847 7450 1371 200 67 31 34 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0499e-02 sec\n", + "--- Collate = 1.1881e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.498527e-06 < 1.562500e-03 [13]\n", + "--- Max DT=3.247871e-01 > 1.000000e-01 [70873]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 70873/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=67.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00157107 [ 0.30 %]\n", + "Velocity : 0.00438879 [ 0.84 %]\n", + "Force : 0.112831 [ 21.52 %]\n", + "Coefs : 0.0300524 [ 5.73 %]\n", + "Output : 0.00177763 [ 0.34 %]\n", + "Levels : 9.7193e-05 [ 0.02 %]\n", + "Report : 2.57e-07 [ 0.00 %]\n", + "Balance : 8.9e-08 [ 0.00 %]\n", + "Adjust : 0.373508 [ 71.24 %]\n", + "Total : 0.524289 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22708 1872 342 52 14 9 3 \n", + "1 : 22711 1858 348 45 13 15 10 \n", + "2 : 22753 1821 347 51 18 8 2 \n", + "3 : 22661 1906 339 51 18 11 14 \n", + "\n", + "T : 90833 7457 1376 199 63 43 29 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9660e-02 sec\n", + "--- Collate = 1.1140e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.036032e-06 < 1.562500e-03 [20]\n", + "--- Max DT=3.248093e-01 > 1.000000e-01 [70873]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 70873/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=67.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00157474 [ 0.31 %]\n", + "Velocity : 0.00409859 [ 0.79 %]\n", + "Force : 0.112674 [ 21.83 %]\n", + "Coefs : 0.0304826 [ 5.91 %]\n", + "Output : 0.00169634 [ 0.33 %]\n", + "Levels : 0.000123036 [ 0.02 %]\n", + "Report : 2.49e-07 [ 0.00 %]\n", + "Balance : 8.4e-08 [ 0.00 %]\n", + "Adjust : 0.365365 [ 70.80 %]\n", + "Total : 0.51607 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22713 1866 341 54 14 7 5 \n", + "1 : 22702 1866 345 49 11 17 10 \n", + "2 : 22752 1820 349 51 15 8 5 \n", + "3 : 22660 1899 344 53 19 11 14 \n", + "\n", + "T : 90827 7451 1379 207 59 43 34 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0026e-02 sec\n", + "--- Collate = 1.3534e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.115317e-05 < 1.562500e-03 [25]\n", + "--- Max DT=3.248276e-01 > 1.000000e-01 [70854]\n", + "----------------------------------------------------------------------\n", + " Component | low: 25/100000\n", + " Component | high: 70854/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=67.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00162109 [ 0.31 %]\n", + "Velocity : 0.00419799 [ 0.80 %]\n", + "Force : 0.113297 [ 21.72 %]\n", + "Coefs : 0.030032 [ 5.76 %]\n", + "Output : 0.00174576 [ 0.33 %]\n", + "Levels : 0.000107317 [ 0.02 %]\n", + "Report : 2.76e-07 [ 0.00 %]\n", + "Balance : 1.37e-07 [ 0.00 %]\n", + "Adjust : 0.370519 [ 71.04 %]\n", + "Total : 0.521587 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22715 1861 345 51 13 8 7 \n", + "1 : 22707 1857 349 46 18 10 13 \n", + "2 : 22751 1829 337 54 17 6 6 \n", + "3 : 22663 1892 340 58 20 11 16 \n", + "\n", + "T : 90836 7439 1371 209 68 35 42 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.8998e-02 sec\n", + "--- Collate = 1.0395e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.740267e-05 < 1.562500e-03 [20]\n", + "--- Max DT=3.248425e-01 > 1.000000e-01 [70849]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 70849/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=67.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00284768 [ 0.54 %]\n", + "Velocity : 0.00501466 [ 0.96 %]\n", + "Force : 0.114 [ 21.73 %]\n", + "Coefs : 0.0301437 [ 5.75 %]\n", + "Output : 0.00184307 [ 0.35 %]\n", + "Levels : 9.7456e-05 [ 0.02 %]\n", + "Report : 1.61e-07 [ 0.00 %]\n", + "Balance : 8.4e-08 [ 0.00 %]\n", + "Adjust : 0.370618 [ 70.64 %]\n", + "Total : 0.524627 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22706 1868 341 57 12 8 8 \n", + "1 : 22699 1864 345 51 20 9 12 \n", + "2 : 22745 1834 336 57 14 6 8 \n", + "3 : 22660 1896 342 58 18 13 13 \n", + "\n", + "T : 90810 7462 1364 223 64 36 41 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.3685e-02 sec\n", + "--- Collate = 9.2620e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.566858e-05 < 1.562500e-03 [18]\n", + "--- Max DT=3.248538e-01 > 1.000000e-01 [70843]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 70843/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=67.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00203619 [ 0.41 %]\n", + "Velocity : 0.00535586 [ 1.07 %]\n", + "Force : 0.110547 [ 22.09 %]\n", + "Coefs : 0.0297658 [ 5.95 %]\n", + "Output : 0.00177782 [ 0.36 %]\n", + "Levels : 0.000102206 [ 0.02 %]\n", + "Report : 1.55e-07 [ 0.00 %]\n", + "Balance : 1.11e-07 [ 0.00 %]\n", + "Adjust : 0.350866 [ 70.10 %]\n", + "Total : 0.500505 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22715 1864 328 57 19 5 12 \n", + "1 : 22695 1869 350 52 10 14 10 \n", + "2 : 22735 1841 337 58 13 10 6 \n", + "3 : 22659 1894 343 58 21 10 15 \n", + "\n", + "T : 90804 7468 1358 225 63 39 43 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0757e-02 sec\n", + "--- Collate = 1.5660e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.312384e-05 < 1.562500e-03 [22]\n", + "--- Max DT=3.248616e-01 > 1.000000e-01 [70844]\n", + "----------------------------------------------------------------------\n", + " Component | low: 22/100000\n", + " Component | high: 70844/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=68] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00169877 [ 0.26 %]\n", + "Velocity : 0.00434501 [ 0.66 %]\n", + "Force : 0.101756 [ 15.41 %]\n", + "Coefs : 0.0198911 [ 3.01 %]\n", + "Output : 0.142246 [ 21.55 %]\n", + "Levels : 0.000190789 [ 0.03 %]\n", + "Report : 7.73e-07 [ 0.00 %]\n", + "Balance : 4.34e-07 [ 0.00 %]\n", + "Adjust : 0.39002 [ 59.08 %]\n", + "Total : 0.660212 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22709 1868 329 57 18 10 9 \n", + "1 : 22696 1871 348 51 11 12 11 \n", + "2 : 22725 1848 340 55 16 10 6 \n", + "3 : 22655 1893 351 54 24 11 12 \n", + "\n", + "T : 90785 7480 1368 217 69 43 38 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9838e-02 sec\n", + "--- Collate = 1.1928e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.332389e-05 < 1.562500e-03 [20]\n", + "--- Max DT=3.248659e-01 > 1.000000e-01 [70834]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 70834/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=68.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00205669 [ 0.40 %]\n", + "Velocity : 0.00502993 [ 0.97 %]\n", + "Force : 0.110132 [ 21.21 %]\n", + "Coefs : 0.0288167 [ 5.55 %]\n", + "Output : 0.00174386 [ 0.34 %]\n", + "Levels : 9.1233e-05 [ 0.02 %]\n", + "Report : 1.66e-07 [ 0.00 %]\n", + "Balance : 1.13e-07 [ 0.00 %]\n", + "Adjust : 0.371359 [ 71.51 %]\n", + "Total : 0.519287 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22716 1850 346 50 19 8 11 \n", + "1 : 22691 1873 353 43 19 11 10 \n", + "2 : 22720 1859 335 50 18 11 7 \n", + "3 : 22665 1892 344 54 23 11 11 \n", + "\n", + "T : 90792 7474 1378 197 79 41 39 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.8035e-02 sec\n", + "--- Collate = 1.1040e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.044607e-05 < 1.562500e-03 [18]\n", + "--- Max DT=3.248668e-01 > 1.000000e-01 [70820]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 70820/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=68.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00174526 [ 0.34 %]\n", + "Velocity : 0.00424799 [ 0.82 %]\n", + "Force : 0.111537 [ 21.52 %]\n", + "Coefs : 0.0305525 [ 5.89 %]\n", + "Output : 0.00181131 [ 0.35 %]\n", + "Levels : 8.5407e-05 [ 0.02 %]\n", + "Report : 2.6e-07 [ 0.00 %]\n", + "Balance : 1.02e-07 [ 0.00 %]\n", + "Adjust : 0.36826 [ 71.05 %]\n", + "Total : 0.518299 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22707 1859 341 50 16 16 11 \n", + "1 : 22682 1873 362 43 21 9 10 \n", + "2 : 22712 1864 341 47 22 4 10 \n", + "3 : 22671 1887 342 54 27 9 10 \n", + "\n", + "T : 90772 7483 1386 194 86 38 41 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0320e-02 sec\n", + "--- Collate = 1.4904e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.903774e-05 < 1.562500e-03 [23]\n", + "--- Max DT=3.248641e-01 > 1.000000e-01 [70823]\n", + "----------------------------------------------------------------------\n", + " Component | low: 23/100000\n", + " Component | high: 70823/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=68.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00164255 [ 0.30 %]\n", + "Velocity : 0.0047092 [ 0.86 %]\n", + "Force : 0.11923 [ 21.76 %]\n", + "Coefs : 0.0296804 [ 5.42 %]\n", + "Output : 0.00197976 [ 0.36 %]\n", + "Levels : 0.000136922 [ 0.02 %]\n", + "Report : 3.21e-07 [ 0.00 %]\n", + "Balance : 1.89e-07 [ 0.00 %]\n", + "Adjust : 0.390509 [ 71.27 %]\n", + "Total : 0.547951 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22702 1859 344 47 24 7 17 \n", + "1 : 22686 1874 357 51 16 9 7 \n", + "2 : 22713 1856 338 60 16 8 9 \n", + "3 : 22662 1897 336 62 19 14 10 \n", + "\n", + "T : 90763 7486 1375 220 75 38 43 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0501e-02 sec\n", + "--- Collate = 1.5608e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.160071e-06 < 1.562500e-03 [22]\n", + "--- Max DT=3.248579e-01 > 1.000000e-01 [70827]\n", + "----------------------------------------------------------------------\n", + " Component | low: 22/100000\n", + " Component | high: 70827/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=68.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00189079 [ 0.35 %]\n", + "Velocity : 0.0049185 [ 0.92 %]\n", + "Force : 0.112324 [ 20.90 %]\n", + "Coefs : 0.0299343 [ 5.57 %]\n", + "Output : 0.0019957 [ 0.37 %]\n", + "Levels : 0.000126889 [ 0.02 %]\n", + "Report : 2.8e-07 [ 0.00 %]\n", + "Balance : 1.54e-07 [ 0.00 %]\n", + "Adjust : 0.386192 [ 71.86 %]\n", + "Total : 0.537445 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22694 1870 339 56 18 7 16 \n", + "1 : 22685 1878 355 51 15 7 9 \n", + "2 : 22704 1861 349 60 9 12 5 \n", + "3 : 22660 1887 349 61 19 11 13 \n", + "\n", + "T : 90743 7496 1392 228 61 37 43 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0664e-02 sec\n", + "--- Collate = 1.6152e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.119307e-05 < 1.562500e-03 [18]\n", + "--- Max DT=3.248481e-01 > 1.000000e-01 [70840]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 70840/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=68.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0019745 [ 0.36 %]\n", + "Velocity : 0.00502214 [ 0.92 %]\n", + "Force : 0.118096 [ 21.75 %]\n", + "Coefs : 0.0307768 [ 5.67 %]\n", + "Output : 0.00192417 [ 0.35 %]\n", + "Levels : 0.000128272 [ 0.02 %]\n", + "Report : 2.89e-07 [ 0.00 %]\n", + "Balance : 2e-07 [ 0.00 %]\n", + "Adjust : 0.384992 [ 70.90 %]\n", + "Total : 0.542977 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22699 1862 347 50 16 13 13 \n", + "1 : 22691 1874 353 52 15 7 8 \n", + "2 : 22703 1865 342 62 12 10 6 \n", + "3 : 22650 1899 348 58 18 14 13 \n", + "\n", + "T : 90743 7500 1390 222 61 44 40 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0648e-02 sec\n", + "--- Collate = 1.6547e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.147186e-04 < 1.562500e-03 [20]\n", + "--- Max DT=3.248346e-01 > 1.000000e-01 [70811]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 70811/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=68.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00195305 [ 0.36 %]\n", + "Velocity : 0.00503567 [ 0.92 %]\n", + "Force : 0.11942 [ 21.83 %]\n", + "Coefs : 0.0307276 [ 5.62 %]\n", + "Output : 0.00193913 [ 0.35 %]\n", + "Levels : 0.00012348 [ 0.02 %]\n", + "Report : 2.8e-07 [ 0.00 %]\n", + "Balance : 1.82e-07 [ 0.00 %]\n", + "Adjust : 0.387858 [ 70.89 %]\n", + "Total : 0.547118 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22686 1873 343 54 17 18 9 \n", + "1 : 22690 1880 350 48 13 11 8 \n", + "2 : 22702 1859 349 56 22 4 8 \n", + "3 : 22652 1898 350 58 15 12 15 \n", + "\n", + "T : 90730 7510 1392 216 67 45 40 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0476e-02 sec\n", + "--- Collate = 1.4999e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.208194e-05 < 1.562500e-03 [23]\n", + "--- Max DT=3.248176e-01 > 1.000000e-01 [70813]\n", + "----------------------------------------------------------------------\n", + " Component | low: 23/100000\n", + " Component | high: 70813/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=68.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0019089 [ 0.35 %]\n", + "Velocity : 0.00485667 [ 0.89 %]\n", + "Force : 0.120113 [ 22.06 %]\n", + "Coefs : 0.0306015 [ 5.62 %]\n", + "Output : 0.00195701 [ 0.36 %]\n", + "Levels : 0.000139192 [ 0.03 %]\n", + "Report : 2.84e-07 [ 0.00 %]\n", + "Balance : 1.7e-07 [ 0.00 %]\n", + "Adjust : 0.3849 [ 70.68 %]\n", + "Total : 0.544538 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22696 1868 339 48 27 9 13 \n", + "1 : 22682 1891 349 39 18 12 9 \n", + "2 : 22703 1858 347 56 21 6 9 \n", + "3 : 22658 1893 347 60 14 15 13 \n", + "\n", + "T : 90739 7510 1382 203 80 42 44 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9991e-02 sec\n", + "--- Collate = 1.2231e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.698678e-06 < 1.562500e-03 [28]\n", + "--- Max DT=3.247971e-01 > 1.000000e-01 [70808]\n", + "----------------------------------------------------------------------\n", + " Component | low: 28/100000\n", + " Component | high: 70808/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=68.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00182775 [ 0.35 %]\n", + "Velocity : 0.0046058 [ 0.87 %]\n", + "Force : 0.115217 [ 21.87 %]\n", + "Coefs : 0.0299084 [ 5.68 %]\n", + "Output : 0.00175888 [ 0.33 %]\n", + "Levels : 0.000105026 [ 0.02 %]\n", + "Report : 2.47e-07 [ 0.00 %]\n", + "Balance : 1.18e-07 [ 0.00 %]\n", + "Adjust : 0.373231 [ 70.86 %]\n", + "Total : 0.52671 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22678 1882 339 54 20 12 15 \n", + "1 : 22680 1894 342 47 17 8 12 \n", + "2 : 22697 1869 347 46 27 5 9 \n", + "3 : 22652 1899 343 60 19 14 13 \n", + "\n", + "T : 90707 7544 1371 207 83 39 49 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0026e-02 sec\n", + "--- Collate = 1.1957e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.133158e-05 < 1.562500e-03 [29]\n", + "--- Max DT=3.247734e-01 > 1.000000e-01 [70798]\n", + "----------------------------------------------------------------------\n", + " Component | low: 29/100000\n", + " Component | high: 70798/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=68.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00179807 [ 0.33 %]\n", + "Velocity : 0.00508999 [ 0.93 %]\n", + "Force : 0.119377 [ 21.76 %]\n", + "Coefs : 0.0311852 [ 5.69 %]\n", + "Output : 0.0020006 [ 0.36 %]\n", + "Levels : 0.000111649 [ 0.02 %]\n", + "Report : 1.63e-07 [ 0.00 %]\n", + "Balance : 1.31e-07 [ 0.00 %]\n", + "Adjust : 0.388876 [ 70.90 %]\n", + "Total : 0.548495 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22680 1873 341 52 23 16 15 \n", + "1 : 22679 1889 341 53 18 7 13 \n", + "2 : 22688 1876 347 43 30 8 8 \n", + "3 : 22647 1896 349 62 21 13 12 \n", + "\n", + "T : 90694 7534 1378 210 92 44 48 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9826e-02 sec\n", + "--- Collate = 1.1939e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.438844e-06 < 1.562500e-03 [20]\n", + "--- Max DT=3.247461e-01 > 1.000000e-01 [70802]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 70802/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=69] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00169422 [ 0.25 %]\n", + "Velocity : 0.00442934 [ 0.65 %]\n", + "Force : 0.118368 [ 17.27 %]\n", + "Coefs : 0.0303426 [ 4.43 %]\n", + "Output : 0.148692 [ 21.70 %]\n", + "Levels : 0.000115275 [ 0.02 %]\n", + "Report : 3.43e-07 [ 0.00 %]\n", + "Balance : 2.87e-07 [ 0.00 %]\n", + "Adjust : 0.381582 [ 55.68 %]\n", + "Total : 0.685279 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22682 1869 334 59 27 13 16 \n", + "1 : 22679 1887 338 61 14 7 14 \n", + "2 : 22697 1869 344 42 30 11 7 \n", + "3 : 22639 1903 354 56 20 16 12 \n", + "\n", + "T : 90697 7528 1370 218 91 47 49 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9828e-02 sec\n", + "--- Collate = 1.2884e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.616361e-06 < 1.562500e-03 [22]\n", + "--- Max DT=3.247155e-01 > 1.000000e-01 [70787]\n", + "----------------------------------------------------------------------\n", + " Component | low: 22/100000\n", + " Component | high: 70787/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=69.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00216434 [ 0.41 %]\n", + "Velocity : 0.00565073 [ 1.08 %]\n", + "Force : 0.115397 [ 21.96 %]\n", + "Coefs : 0.030175 [ 5.74 %]\n", + "Output : 0.00178459 [ 0.34 %]\n", + "Levels : 0.000130077 [ 0.02 %]\n", + "Report : 2.38e-07 [ 0.00 %]\n", + "Balance : 1.24e-07 [ 0.00 %]\n", + "Adjust : 0.37015 [ 70.44 %]\n", + "Total : 0.525511 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22676 1874 332 59 28 16 15 \n", + "1 : 22678 1883 343 55 23 8 10 \n", + "2 : 22684 1880 349 43 21 15 8 \n", + "3 : 22641 1902 356 56 22 10 13 \n", + "\n", + "T : 90679 7539 1380 213 94 49 46 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0071e-02 sec\n", + "--- Collate = 1.1084e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.905519e-05 < 1.562500e-03 [25]\n", + "--- Max DT=3.246814e-01 > 1.000000e-01 [70774]\n", + "----------------------------------------------------------------------\n", + " Component | low: 25/100000\n", + " Component | high: 70774/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=69.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00171388 [ 0.33 %]\n", + "Velocity : 0.00435659 [ 0.83 %]\n", + "Force : 0.114346 [ 21.71 %]\n", + "Coefs : 0.0296064 [ 5.62 %]\n", + "Output : 0.00167117 [ 0.32 %]\n", + "Levels : 9.3666e-05 [ 0.02 %]\n", + "Report : 1.8e-07 [ 0.00 %]\n", + "Balance : 1.14e-07 [ 0.00 %]\n", + "Adjust : 0.374791 [ 71.17 %]\n", + "Total : 0.526639 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22671 1878 326 65 29 14 17 \n", + "1 : 22681 1878 348 54 26 7 6 \n", + "2 : 22674 1891 342 54 17 9 13 \n", + "3 : 22638 1900 363 53 29 6 11 \n", + "\n", + "T : 90664 7547 1379 226 101 36 47 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9764e-02 sec\n", + "--- Collate = 1.1921e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.901518e-06 < 1.562500e-03 [23]\n", + "--- Max DT=3.246435e-01 > 1.000000e-01 [70786]\n", + "----------------------------------------------------------------------\n", + " Component | low: 23/100000\n", + " Component | high: 70786/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=69.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00168437 [ 0.32 %]\n", + "Velocity : 0.00428457 [ 0.81 %]\n", + "Force : 0.116017 [ 21.87 %]\n", + "Coefs : 0.0297817 [ 5.61 %]\n", + "Output : 0.00161955 [ 0.31 %]\n", + "Levels : 9.6753e-05 [ 0.02 %]\n", + "Report : 2.04e-07 [ 0.00 %]\n", + "Balance : 9.3e-08 [ 0.00 %]\n", + "Adjust : 0.377066 [ 71.06 %]\n", + "Total : 0.530602 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22669 1876 331 64 31 13 16 \n", + "1 : 22676 1882 352 48 26 12 4 \n", + "2 : 22671 1894 342 51 20 6 16 \n", + "3 : 22624 1922 355 57 21 13 8 \n", + "\n", + "T : 90640 7574 1380 220 98 44 44 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9908e-02 sec\n", + "--- Collate = 1.1144e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.049558e-04 < 1.562500e-03 [22]\n", + "--- Max DT=3.246017e-01 > 1.000000e-01 [70788]\n", + "----------------------------------------------------------------------\n", + " Component | low: 22/100000\n", + " Component | high: 70788/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=69.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00167494 [ 0.31 %]\n", + "Velocity : 0.00451097 [ 0.85 %]\n", + "Force : 0.117366 [ 21.99 %]\n", + "Coefs : 0.029643 [ 5.55 %]\n", + "Output : 0.00172258 [ 0.32 %]\n", + "Levels : 0.000102382 [ 0.02 %]\n", + "Report : 1.6e-07 [ 0.00 %]\n", + "Balance : 1.28e-07 [ 0.00 %]\n", + "Adjust : 0.3787 [ 70.95 %]\n", + "Total : 0.533772 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22670 1867 341 59 38 7 18 \n", + "1 : 22661 1894 349 57 22 10 7 \n", + "2 : 22665 1895 347 49 21 12 11 \n", + "3 : 22617 1931 351 60 25 11 5 \n", + "\n", + "T : 90613 7587 1388 225 106 40 41 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9734e-02 sec\n", + "--- Collate = 1.1787e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.144896e-05 < 1.562500e-03 [21]\n", + "--- Max DT=3.245562e-01 > 1.000000e-01 [70784]\n", + "----------------------------------------------------------------------\n", + " Component | low: 21/100000\n", + " Component | high: 70784/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=69.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00172028 [ 0.33 %]\n", + "Velocity : 0.00427393 [ 0.81 %]\n", + "Force : 0.115526 [ 21.88 %]\n", + "Coefs : 0.0294912 [ 5.59 %]\n", + "Output : 0.00175172 [ 0.33 %]\n", + "Levels : 0.000105157 [ 0.02 %]\n", + "Report : 1.66e-07 [ 0.00 %]\n", + "Balance : 1.29e-07 [ 0.00 %]\n", + "Adjust : 0.375039 [ 71.03 %]\n", + "Total : 0.527978 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22666 1875 337 64 27 18 13 \n", + "1 : 22654 1901 346 58 24 7 10 \n", + "2 : 22669 1890 351 46 25 11 8 \n", + "3 : 22618 1933 349 52 28 14 6 \n", + "\n", + "T : 90607 7599 1383 220 104 50 37 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9905e-02 sec\n", + "--- Collate = 1.1260e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.274590e-05 < 1.562500e-03 [22]\n", + "--- Max DT=3.245069e-01 > 1.000000e-01 [70797]\n", + "----------------------------------------------------------------------\n", + " Component | low: 22/100000\n", + " Component | high: 70797/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=69.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00162256 [ 0.31 %]\n", + "Velocity : 0.00422595 [ 0.80 %]\n", + "Force : 0.115698 [ 21.98 %]\n", + "Coefs : 0.0293057 [ 5.57 %]\n", + "Output : 0.00173973 [ 0.33 %]\n", + "Levels : 8.5355e-05 [ 0.02 %]\n", + "Report : 1.87e-07 [ 0.00 %]\n", + "Balance : 1.16e-07 [ 0.00 %]\n", + "Adjust : 0.373733 [ 70.99 %]\n", + "Total : 0.526464 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22669 1874 333 62 29 21 12 \n", + "1 : 22653 1897 349 56 26 6 13 \n", + "2 : 22678 1881 347 53 22 11 8 \n", + "3 : 22605 1948 344 57 29 9 8 \n", + "\n", + "T : 90605 7600 1373 228 106 47 41 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9844e-02 sec\n", + "--- Collate = 1.2132e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.293120e-05 < 1.562500e-03 [27]\n", + "--- Max DT=3.244540e-01 > 1.000000e-01 [70817]\n", + "----------------------------------------------------------------------\n", + " Component | low: 27/100000\n", + " Component | high: 70817/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=69.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00181316 [ 0.34 %]\n", + "Velocity : 0.00466361 [ 0.88 %]\n", + "Force : 0.11601 [ 21.84 %]\n", + "Coefs : 0.0300165 [ 5.65 %]\n", + "Output : 0.00173011 [ 0.33 %]\n", + "Levels : 8.0476e-05 [ 0.02 %]\n", + "Report : 1.68e-07 [ 0.00 %]\n", + "Balance : 1.33e-07 [ 0.00 %]\n", + "Adjust : 0.376761 [ 70.94 %]\n", + "Total : 0.531127 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22660 1879 338 61 32 17 13 \n", + "1 : 22653 1903 342 53 24 13 12 \n", + "2 : 22681 1884 340 51 24 9 11 \n", + "3 : 22605 1947 347 59 19 12 11 \n", + "\n", + "T : 90599 7613 1367 224 99 51 47 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0032e-02 sec\n", + "--- Collate = 1.0664e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.357662e-06 < 1.562500e-03 [28]\n", + "--- Max DT=3.243974e-01 > 1.000000e-01 [70827]\n", + "----------------------------------------------------------------------\n", + " Component | low: 28/100000\n", + " Component | high: 70827/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=69.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00178333 [ 0.34 %]\n", + "Velocity : 0.00443924 [ 0.84 %]\n", + "Force : 0.116648 [ 21.96 %]\n", + "Coefs : 0.0295555 [ 5.56 %]\n", + "Output : 0.00173744 [ 0.33 %]\n", + "Levels : 0.000107885 [ 0.02 %]\n", + "Report : 1.67e-07 [ 0.00 %]\n", + "Balance : 1.01e-07 [ 0.00 %]\n", + "Adjust : 0.376931 [ 70.95 %]\n", + "Total : 0.531252 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22642 1899 333 68 28 13 17 \n", + "1 : 22644 1913 338 58 19 17 11 \n", + "2 : 22673 1886 341 56 22 9 13 \n", + "3 : 22602 1949 347 56 22 11 13 \n", + "\n", + "T : 90561 7647 1359 238 91 50 54 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9005e-02 sec\n", + "--- Collate = 1.4104e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.032630e-07 < 1.562500e-03 [31]\n", + "--- Max DT=3.243372e-01 > 1.000000e-01 [70827]\n", + "----------------------------------------------------------------------\n", + " Component | low: 31/100000\n", + " Component | high: 70827/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=69.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00180094 [ 0.34 %]\n", + "Velocity : 0.0047354 [ 0.90 %]\n", + "Force : 0.115481 [ 22.04 %]\n", + "Coefs : 0.0300548 [ 5.74 %]\n", + "Output : 0.00182733 [ 0.35 %]\n", + "Levels : 0.000118684 [ 0.02 %]\n", + "Report : 2.01e-07 [ 0.00 %]\n", + "Balance : 2.22e-07 [ 0.00 %]\n", + "Adjust : 0.369881 [ 70.59 %]\n", + "Total : 0.523957 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22632 1906 344 70 17 12 19 \n", + "1 : 22645 1909 339 62 19 14 12 \n", + "2 : 22671 1885 344 56 22 8 14 \n", + "3 : 22593 1954 348 58 22 11 14 \n", + "\n", + "T : 90541 7654 1375 246 80 45 59 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9135e-02 sec\n", + "--- Collate = 1.3955e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.691211e-05 < 1.562500e-03 [31]\n", + "--- Max DT=3.242733e-01 > 1.000000e-01 [70806]\n", + "----------------------------------------------------------------------\n", + " Component | low: 31/100000\n", + " Component | high: 70806/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=70] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00195478 [ 0.30 %]\n", + "Velocity : 0.00502973 [ 0.76 %]\n", + "Force : 0.113075 [ 17.18 %]\n", + "Coefs : 0.029144 [ 4.43 %]\n", + "Output : 0.137939 [ 20.95 %]\n", + "Levels : 0.000136182 [ 0.02 %]\n", + "Report : 3.47e-07 [ 0.00 %]\n", + "Balance : 1.99e-07 [ 0.00 %]\n", + "Adjust : 0.370939 [ 56.35 %]\n", + "Total : 0.658276 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22625 1910 343 70 23 11 18 \n", + "1 : 22641 1912 338 63 20 11 15 \n", + "2 : 22658 1899 344 63 13 11 12 \n", + "3 : 22596 1949 353 56 19 13 14 \n", + "\n", + "T : 90520 7670 1378 252 75 46 59 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9349e-02 sec\n", + "--- Collate = 1.2901e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.902197e-05 < 1.562500e-03 [25]\n", + "--- Max DT=3.242059e-01 > 1.000000e-01 [70804]\n", + "----------------------------------------------------------------------\n", + " Component | low: 25/100000\n", + " Component | high: 70804/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=70.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00217445 [ 0.42 %]\n", + "Velocity : 0.00467465 [ 0.90 %]\n", + "Force : 0.111301 [ 21.44 %]\n", + "Coefs : 0.0329102 [ 6.34 %]\n", + "Output : 0.00178976 [ 0.34 %]\n", + "Levels : 0.000102452 [ 0.02 %]\n", + "Report : 2.44e-07 [ 0.00 %]\n", + "Balance : 9.1e-08 [ 0.00 %]\n", + "Adjust : 0.366152 [ 70.53 %]\n", + "Total : 0.519158 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22625 1915 343 63 33 8 13 \n", + "1 : 22640 1914 342 65 20 7 12 \n", + "2 : 22663 1901 341 58 16 8 13 \n", + "3 : 22592 1955 351 54 22 14 12 \n", + "\n", + "T : 90520 7685 1377 240 91 37 50 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0387e-02 sec\n", + "--- Collate = 1.1671e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.664201e-05 < 1.562500e-03 [18]\n", + "--- Max DT=3.241351e-01 > 1.000000e-01 [70778]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 70778/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=70.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00170428 [ 0.32 %]\n", + "Velocity : 0.00448921 [ 0.83 %]\n", + "Force : 0.11532 [ 21.40 %]\n", + "Coefs : 0.029982 [ 5.56 %]\n", + "Output : 0.00181536 [ 0.34 %]\n", + "Levels : 0.000105177 [ 0.02 %]\n", + "Report : 1.86e-07 [ 0.00 %]\n", + "Balance : 1.01e-07 [ 0.00 %]\n", + "Adjust : 0.385503 [ 71.52 %]\n", + "Total : 0.538978 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22632 1905 351 55 32 13 12 \n", + "1 : 22639 1911 338 74 17 10 11 \n", + "2 : 22664 1896 341 61 20 7 11 \n", + "3 : 22592 1965 343 51 24 14 11 \n", + "\n", + "T : 90527 7677 1373 241 93 44 45 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0142e-02 sec\n", + "--- Collate = 1.4021e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.331252e-05 < 1.562500e-03 [19]\n", + "--- Max DT=3.240609e-01 > 1.000000e-01 [70768]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 70768/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=70.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00192601 [ 0.36 %]\n", + "Velocity : 0.00480745 [ 0.89 %]\n", + "Force : 0.118149 [ 21.98 %]\n", + "Coefs : 0.0320572 [ 5.96 %]\n", + "Output : 0.00194309 [ 0.36 %]\n", + "Levels : 0.000111709 [ 0.02 %]\n", + "Report : 5.59e-07 [ 0.00 %]\n", + "Balance : 1.43e-07 [ 0.00 %]\n", + "Adjust : 0.378373 [ 70.40 %]\n", + "Total : 0.537427 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22632 1898 359 53 30 17 11 \n", + "1 : 22636 1907 348 66 21 15 7 \n", + "2 : 22656 1906 340 56 21 12 9 \n", + "3 : 22592 1967 337 57 18 17 12 \n", + "\n", + "T : 90516 7678 1384 232 90 61 39 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.8029e-02 sec\n", + "--- Collate = 1.1272e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.474003e-06 < 1.562500e-03 [20]\n", + "--- Max DT=3.239831e-01 > 1.000000e-01 [70760]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 70760/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=70.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00314059 [ 0.59 %]\n", + "Velocity : 0.00558569 [ 1.05 %]\n", + "Force : 0.115927 [ 21.86 %]\n", + "Coefs : 0.0296381 [ 5.59 %]\n", + "Output : 0.00191017 [ 0.36 %]\n", + "Levels : 0.000105103 [ 0.02 %]\n", + "Report : 2.82e-07 [ 0.00 %]\n", + "Balance : 1.35e-07 [ 0.00 %]\n", + "Adjust : 0.374057 [ 70.52 %]\n", + "Total : 0.530425 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22627 1908 357 47 33 13 15 \n", + "1 : 22626 1912 350 61 29 14 8 \n", + "2 : 22646 1910 352 49 22 13 8 \n", + "3 : 22586 1978 339 56 16 9 16 \n", + "\n", + "T : 90485 7708 1398 213 100 49 47 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9967e-02 sec\n", + "--- Collate = 1.2385e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.347572e-05 < 1.562500e-03 [27]\n", + "--- Max DT=3.239020e-01 > 1.000000e-01 [70765]\n", + "----------------------------------------------------------------------\n", + " Component | low: 27/100000\n", + " Component | high: 70765/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=70.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00173704 [ 0.32 %]\n", + "Velocity : 0.00452148 [ 0.84 %]\n", + "Force : 0.115918 [ 21.53 %]\n", + "Coefs : 0.0294163 [ 5.46 %]\n", + "Output : 0.00185693 [ 0.34 %]\n", + "Levels : 0.000114795 [ 0.02 %]\n", + "Report : 1.77e-07 [ 0.00 %]\n", + "Balance : 1.02e-07 [ 0.00 %]\n", + "Adjust : 0.38473 [ 71.46 %]\n", + "Total : 0.538353 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22612 1927 355 43 28 15 20 \n", + "1 : 22625 1907 357 58 24 21 8 \n", + "2 : 22640 1918 343 52 25 9 13 \n", + "3 : 22582 1983 339 58 14 11 13 \n", + "\n", + "T : 90459 7735 1394 211 91 56 54 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9864e-02 sec\n", + "--- Collate = 1.1797e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.031111e-06 < 1.562500e-03 [32]\n", + "--- Max DT=3.238172e-01 > 1.000000e-01 [70772]\n", + "----------------------------------------------------------------------\n", + " Component | low: 32/100000\n", + " Component | high: 70772/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=70.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00198003 [ 0.37 %]\n", + "Velocity : 0.00433518 [ 0.81 %]\n", + "Force : 0.116809 [ 21.78 %]\n", + "Coefs : 0.029164 [ 5.44 %]\n", + "Output : 0.00177756 [ 0.33 %]\n", + "Levels : 0.000102312 [ 0.02 %]\n", + "Report : 1.73e-07 [ 0.00 %]\n", + "Balance : 9.6e-08 [ 0.00 %]\n", + "Adjust : 0.382035 [ 71.24 %]\n", + "Total : 0.536258 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22616 1928 347 55 18 15 21 \n", + "1 : 22619 1914 355 57 20 16 19 \n", + "2 : 22636 1933 330 55 21 11 14 \n", + "3 : 22581 1976 339 60 22 10 12 \n", + "\n", + "T : 90452 7751 1371 227 81 52 66 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.8748e-02 sec\n", + "--- Collate = 1.4264e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.706199e-05 < 1.562500e-03 [33]\n", + "--- Max DT=3.237290e-01 > 1.000000e-01 [70761]\n", + "----------------------------------------------------------------------\n", + " Component | low: 33/100000\n", + " Component | high: 70761/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=70.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00184153 [ 0.35 %]\n", + "Velocity : 0.00557844 [ 1.05 %]\n", + "Force : 0.11594 [ 21.72 %]\n", + "Coefs : 0.0296257 [ 5.55 %]\n", + "Output : 0.00175982 [ 0.33 %]\n", + "Levels : 0.000107757 [ 0.02 %]\n", + "Report : 2.05e-07 [ 0.00 %]\n", + "Balance : 1.43e-07 [ 0.00 %]\n", + "Adjust : 0.378823 [ 70.98 %]\n", + "Total : 0.533733 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22610 1935 347 57 18 13 20 \n", + "1 : 22608 1932 343 62 17 12 26 \n", + "2 : 22634 1926 342 52 17 14 15 \n", + "3 : 22586 1972 332 71 19 13 7 \n", + "\n", + "T : 90438 7765 1364 242 71 52 68 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9634e-02 sec\n", + "--- Collate = 1.3772e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.773953e-07 < 1.562500e-03 [32]\n", + "--- Max DT=3.236372e-01 > 1.000000e-01 [70747]\n", + "----------------------------------------------------------------------\n", + " Component | low: 32/100000\n", + " Component | high: 70747/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=70.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00218179 [ 0.41 %]\n", + "Velocity : 0.00515344 [ 0.96 %]\n", + "Force : 0.116963 [ 21.78 %]\n", + "Coefs : 0.0295006 [ 5.49 %]\n", + "Output : 0.00176187 [ 0.33 %]\n", + "Levels : 0.000128675 [ 0.02 %]\n", + "Report : 1.38e-07 [ 0.00 %]\n", + "Balance : 1.07e-07 [ 0.00 %]\n", + "Adjust : 0.381339 [ 71.00 %]\n", + "Total : 0.537081 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22612 1928 350 59 21 14 16 \n", + "1 : 22597 1942 337 66 19 13 26 \n", + "2 : 22638 1923 343 51 19 13 13 \n", + "3 : 22583 1977 333 71 18 10 8 \n", + "\n", + "T : 90430 7770 1363 247 77 50 63 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0236e-02 sec\n", + "--- Collate = 1.1204e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.223706e-05 < 1.562500e-03 [22]\n", + "--- Max DT=3.235417e-01 > 1.000000e-01 [70744]\n", + "----------------------------------------------------------------------\n", + " Component | low: 22/100000\n", + " Component | high: 70744/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=70.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00208622 [ 0.39 %]\n", + "Velocity : 0.00482542 [ 0.90 %]\n", + "Force : 0.116131 [ 21.73 %]\n", + "Coefs : 0.0279672 [ 5.23 %]\n", + "Output : 0.00179806 [ 0.34 %]\n", + "Levels : 0.000105397 [ 0.02 %]\n", + "Report : 4.71e-07 [ 0.00 %]\n", + "Balance : 8.2e-08 [ 0.00 %]\n", + "Adjust : 0.381394 [ 71.37 %]\n", + "Total : 0.534363 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22617 1920 355 54 32 10 12 \n", + "1 : 22596 1939 342 62 17 22 22 \n", + "2 : 22639 1921 342 53 17 15 13 \n", + "3 : 22584 1978 336 66 20 8 8 \n", + "\n", + "T : 90436 7758 1375 235 86 55 55 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0006e-02 sec\n", + "--- Collate = 1.1514e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.559497e-05 < 1.562500e-03 [23]\n", + "--- Max DT=3.234427e-01 > 1.000000e-01 [70755]\n", + "----------------------------------------------------------------------\n", + " Component | low: 23/100000\n", + " Component | high: 70755/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=71] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00181103 [ 0.27 %]\n", + "Velocity : 0.0046547 [ 0.70 %]\n", + "Force : 0.114355 [ 17.12 %]\n", + "Coefs : 0.0302836 [ 4.53 %]\n", + "Output : 0.138757 [ 20.78 %]\n", + "Levels : 9.028e-05 [ 0.01 %]\n", + "Report : 3.79e-07 [ 0.00 %]\n", + "Balance : 2.39e-07 [ 0.00 %]\n", + "Adjust : 0.377827 [ 56.58 %]\n", + "Total : 0.667829 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22607 1934 351 61 29 9 9 \n", + "1 : 22599 1931 345 65 23 19 18 \n", + "2 : 22632 1926 345 50 21 13 13 \n", + "3 : 22577 1984 340 53 31 9 6 \n", + "\n", + "T : 90415 7775 1381 229 104 50 46 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.7834e-02 sec\n", + "--- Collate = 1.2323e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.422505e-05 < 1.562500e-03 [19]\n", + "--- Max DT=3.233400e-01 > 1.000000e-01 [70764]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 70764/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=71.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00179327 [ 0.35 %]\n", + "Velocity : 0.0060529 [ 1.19 %]\n", + "Force : 0.109856 [ 21.55 %]\n", + "Coefs : 0.0282296 [ 5.54 %]\n", + "Output : 0.00167648 [ 0.33 %]\n", + "Levels : 8.3857e-05 [ 0.02 %]\n", + "Report : 1.61e-07 [ 0.00 %]\n", + "Balance : 1.02e-07 [ 0.00 %]\n", + "Adjust : 0.362128 [ 71.02 %]\n", + "Total : 0.509874 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22608 1932 353 61 29 10 7 \n", + "1 : 22598 1930 350 61 29 16 16 \n", + "2 : 22632 1928 335 55 27 10 13 \n", + "3 : 22575 1983 341 55 27 13 6 \n", + "\n", + "T : 90413 7773 1379 232 112 49 42 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9607e-02 sec\n", + "--- Collate = 1.1617e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.958324e-05 < 1.562500e-03 [17]\n", + "--- Max DT=3.232338e-01 > 1.000000e-01 [70745]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 70745/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=71.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00170893 [ 0.33 %]\n", + "Velocity : 0.00444541 [ 0.87 %]\n", + "Force : 0.11026 [ 21.51 %]\n", + "Coefs : 0.028357 [ 5.53 %]\n", + "Output : 0.00162142 [ 0.32 %]\n", + "Levels : 0.000101009 [ 0.02 %]\n", + "Report : 7.62e-07 [ 0.00 %]\n", + "Balance : 1.08e-07 [ 0.00 %]\n", + "Adjust : 0.365991 [ 71.41 %]\n", + "Total : 0.512537 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22614 1916 363 61 28 10 8 \n", + "1 : 22596 1933 354 62 27 13 15 \n", + "2 : 22633 1918 347 50 27 13 12 \n", + "3 : 22583 1973 346 56 20 14 8 \n", + "\n", + "T : 90426 7740 1410 229 102 50 43 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9438e-02 sec\n", + "--- Collate = 1.1571e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.200918e-05 < 1.562500e-03 [26]\n", + "--- Max DT=3.231240e-01 > 1.000000e-01 [70742]\n", + "----------------------------------------------------------------------\n", + " Component | low: 26/100000\n", + " Component | high: 70742/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=71.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0018021 [ 0.35 %]\n", + "Velocity : 0.00437918 [ 0.85 %]\n", + "Force : 0.111896 [ 21.60 %]\n", + "Coefs : 0.0283073 [ 5.46 %]\n", + "Output : 0.0017343 [ 0.33 %]\n", + "Levels : 9.0937e-05 [ 0.02 %]\n", + "Report : 1.71e-07 [ 0.00 %]\n", + "Balance : 1e-07 [ 0.00 %]\n", + "Adjust : 0.36984 [ 71.38 %]\n", + "Total : 0.518104 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22613 1918 363 58 27 11 10 \n", + "1 : 22593 1930 360 64 27 13 13 \n", + "2 : 22634 1921 341 55 25 13 11 \n", + "3 : 22575 1973 358 54 18 8 14 \n", + "\n", + "T : 90415 7742 1422 231 97 45 48 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9605e-02 sec\n", + "--- Collate = 1.2028e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.388601e-05 < 1.562500e-03 [28]\n", + "--- Max DT=3.230108e-01 > 1.000000e-01 [70730]\n", + "----------------------------------------------------------------------\n", + " Component | low: 28/100000\n", + " Component | high: 70730/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=71.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00203955 [ 0.40 %]\n", + "Velocity : 0.00443384 [ 0.86 %]\n", + "Force : 0.110652 [ 21.47 %]\n", + "Coefs : 0.0298837 [ 5.80 %]\n", + "Output : 0.00166886 [ 0.32 %]\n", + "Levels : 8.5023e-05 [ 0.02 %]\n", + "Report : 1.7e-07 [ 0.00 %]\n", + "Balance : 1.06e-07 [ 0.00 %]\n", + "Adjust : 0.366671 [ 71.13 %]\n", + "Total : 0.515489 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22613 1920 365 54 23 12 13 \n", + "1 : 22600 1923 361 62 26 17 11 \n", + "2 : 22628 1919 356 49 24 10 14 \n", + "3 : 22580 1969 360 53 13 8 17 \n", + "\n", + "T : 90421 7731 1442 218 86 47 55 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9897e-02 sec\n", + "--- Collate = 1.2670e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.885689e-06 < 1.562500e-03 [29]\n", + "--- Max DT=3.228942e-01 > 1.000000e-01 [70730]\n", + "----------------------------------------------------------------------\n", + " Component | low: 29/100000\n", + " Component | high: 70730/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=71.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00173932 [ 0.34 %]\n", + "Velocity : 0.00434177 [ 0.84 %]\n", + "Force : 0.112781 [ 21.73 %]\n", + "Coefs : 0.0299859 [ 5.78 %]\n", + "Output : 0.00162369 [ 0.31 %]\n", + "Levels : 9.0282e-05 [ 0.02 %]\n", + "Report : 9.8e-08 [ 0.00 %]\n", + "Balance : 1.04e-07 [ 0.00 %]\n", + "Adjust : 0.368503 [ 70.99 %]\n", + "Total : 0.519118 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22621 1901 376 58 15 14 15 \n", + "1 : 22597 1931 358 59 26 17 12 \n", + "2 : 22613 1938 355 52 18 10 14 \n", + "3 : 22574 1972 359 57 9 12 17 \n", + "\n", + "T : 90405 7742 1448 226 68 53 58 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9346e-02 sec\n", + "--- Collate = 1.2534e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.998000e-05 < 1.562500e-03 [27]\n", + "--- Max DT=3.227742e-01 > 1.000000e-01 [70724]\n", + "----------------------------------------------------------------------\n", + " Component | low: 27/100000\n", + " Component | high: 70724/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=71.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00194444 [ 0.38 %]\n", + "Velocity : 0.0043665 [ 0.85 %]\n", + "Force : 0.111479 [ 21.58 %]\n", + "Coefs : 0.0302399 [ 5.85 %]\n", + "Output : 0.00167932 [ 0.33 %]\n", + "Levels : 8.9831e-05 [ 0.02 %]\n", + "Report : 1.6e-07 [ 0.00 %]\n", + "Balance : 1.09e-07 [ 0.00 %]\n", + "Adjust : 0.366836 [ 71.00 %]\n", + "Total : 0.516695 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22615 1908 377 56 14 12 18 \n", + "1 : 22590 1933 365 58 21 17 16 \n", + "2 : 22606 1940 365 46 17 11 15 \n", + "3 : 22560 1985 364 50 15 16 10 \n", + "\n", + "T : 90371 7766 1471 210 67 56 59 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9179e-02 sec\n", + "--- Collate = 1.2207e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.781036e-05 < 1.562500e-03 [33]\n", + "--- Max DT=3.226507e-01 > 1.000000e-01 [70725]\n", + "----------------------------------------------------------------------\n", + " Component | low: 33/100000\n", + " Component | high: 70725/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=71.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00183336 [ 0.35 %]\n", + "Velocity : 0.00449851 [ 0.85 %]\n", + "Force : 0.114624 [ 21.69 %]\n", + "Coefs : 0.0304255 [ 5.76 %]\n", + "Output : 0.00186752 [ 0.35 %]\n", + "Levels : 9.9617e-05 [ 0.02 %]\n", + "Report : 2e-07 [ 0.00 %]\n", + "Balance : 1.48e-07 [ 0.00 %]\n", + "Adjust : 0.374985 [ 70.97 %]\n", + "Total : 0.52839 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22618 1909 370 62 17 5 19 \n", + "1 : 22586 1934 370 59 15 19 17 \n", + "2 : 22600 1944 367 47 18 14 10 \n", + "3 : 22563 1991 351 54 22 9 10 \n", + "\n", + "T : 90367 7778 1458 222 72 47 56 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.1007e-02 sec\n", + "--- Collate = 1.6822e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.994349e-05 < 1.562500e-03 [29]\n", + "--- Max DT=3.225237e-01 > 1.000000e-01 [70727]\n", + "----------------------------------------------------------------------\n", + " Component | low: 29/100000\n", + " Component | high: 70727/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=71.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00178917 [ 0.33 %]\n", + "Velocity : 0.0048575 [ 0.89 %]\n", + "Force : 0.117711 [ 21.64 %]\n", + "Coefs : 0.0304902 [ 5.60 %]\n", + "Output : 0.00188375 [ 0.35 %]\n", + "Levels : 0.000154007 [ 0.03 %]\n", + "Report : 2.02e-07 [ 0.00 %]\n", + "Balance : 1.57e-07 [ 0.00 %]\n", + "Adjust : 0.387064 [ 71.15 %]\n", + "Total : 0.54401 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22618 1912 372 58 18 7 15 \n", + "1 : 22588 1921 381 57 16 13 24 \n", + "2 : 22596 1939 372 50 18 10 15 \n", + "3 : 22566 1983 358 55 19 11 8 \n", + "\n", + "T : 90368 7755 1483 220 71 41 62 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0336e-02 sec\n", + "--- Collate = 1.4892e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.164272e-05 < 1.562500e-03 [20]\n", + "--- Max DT=3.223932e-01 > 1.000000e-01 [70710]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 70710/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=71.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00234677 [ 0.42 %]\n", + "Velocity : 0.00543197 [ 0.98 %]\n", + "Force : 0.121087 [ 21.86 %]\n", + "Coefs : 0.0313484 [ 5.66 %]\n", + "Output : 0.00199931 [ 0.36 %]\n", + "Levels : 0.000147777 [ 0.03 %]\n", + "Report : 6.03e-07 [ 0.00 %]\n", + "Balance : 1.93e-07 [ 0.00 %]\n", + "Adjust : 0.391484 [ 70.68 %]\n", + "Total : 0.553921 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22628 1905 372 58 18 13 6 \n", + "1 : 22585 1927 382 58 17 9 22 \n", + "2 : 22595 1940 366 56 23 10 10 \n", + "3 : 22567 1982 357 62 14 11 7 \n", + "\n", + "T : 90375 7754 1477 234 72 43 45 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0351e-02 sec\n", + "--- Collate = 1.5253e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.992799e-05 < 1.562500e-03 [17]\n", + "--- Max DT=3.222598e-01 > 1.000000e-01 [70701]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 70701/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=72] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00205936 [ 0.30 %]\n", + "Velocity : 0.00497048 [ 0.72 %]\n", + "Force : 0.118728 [ 17.30 %]\n", + "Coefs : 0.0305235 [ 4.45 %]\n", + "Output : 0.142643 [ 20.78 %]\n", + "Levels : 0.000144085 [ 0.02 %]\n", + "Report : 2.39e-07 [ 0.00 %]\n", + "Balance : 2.9e-07 [ 0.00 %]\n", + "Adjust : 0.387247 [ 56.42 %]\n", + "Total : 0.686378 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22614 1915 377 53 24 13 4 \n", + "1 : 22582 1931 378 62 19 9 19 \n", + "2 : 22583 1954 362 59 20 12 10 \n", + "3 : 22567 1985 351 65 15 9 8 \n", + "\n", + "T : 90346 7785 1468 239 78 43 41 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0377e-02 sec\n", + "--- Collate = 1.5017e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.219186e-05 < 1.562500e-03 [22]\n", + "--- Max DT=3.221237e-01 > 1.000000e-01 [70702]\n", + "----------------------------------------------------------------------\n", + " Component | low: 22/100000\n", + " Component | high: 70702/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=72.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00198882 [ 0.36 %]\n", + "Velocity : 0.00633071 [ 1.16 %]\n", + "Force : 0.119029 [ 21.78 %]\n", + "Coefs : 0.0299207 [ 5.47 %]\n", + "Output : 0.00193564 [ 0.35 %]\n", + "Levels : 0.000125951 [ 0.02 %]\n", + "Report : 2.07e-07 [ 0.00 %]\n", + "Balance : 2.24e-07 [ 0.00 %]\n", + "Adjust : 0.387233 [ 70.84 %]\n", + "Total : 0.546623 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22605 1924 381 49 23 7 11 \n", + "1 : 22573 1943 383 56 19 14 12 \n", + "2 : 22573 1959 363 66 20 11 8 \n", + "3 : 22561 2003 339 65 18 5 9 \n", + "\n", + "T : 90312 7829 1466 236 80 37 40 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0106e-02 sec\n", + "--- Collate = 1.9075e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.205367e-05 < 1.562500e-03 [23]\n", + "--- Max DT=3.219844e-01 > 1.000000e-01 [70701]\n", + "----------------------------------------------------------------------\n", + " Component | low: 23/100000\n", + " Component | high: 70701/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=72.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00199901 [ 0.37 %]\n", + "Velocity : 0.00503001 [ 0.92 %]\n", + "Force : 0.118297 [ 21.64 %]\n", + "Coefs : 0.0308406 [ 5.64 %]\n", + "Output : 0.00180605 [ 0.33 %]\n", + "Levels : 0.000117049 [ 0.02 %]\n", + "Report : 2.02e-07 [ 0.00 %]\n", + "Balance : 1.61e-07 [ 0.00 %]\n", + "Adjust : 0.388616 [ 71.08 %]\n", + "Total : 0.546766 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22595 1932 382 46 24 8 13 \n", + "1 : 22573 1941 384 62 16 15 9 \n", + "2 : 22569 1968 357 65 23 8 10 \n", + "3 : 22566 1994 345 62 13 10 10 \n", + "\n", + "T : 90303 7835 1468 235 76 41 42 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0196e-02 sec\n", + "--- Collate = 1.6019e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.303481e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.218420e-01 > 1.000000e-01 [70705]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 70705/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=72.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00186432 [ 0.34 %]\n", + "Velocity : 0.00487234 [ 0.89 %]\n", + "Force : 0.118918 [ 21.84 %]\n", + "Coefs : 0.0305917 [ 5.62 %]\n", + "Output : 0.00192228 [ 0.35 %]\n", + "Levels : 0.000135771 [ 0.02 %]\n", + "Report : 2.03e-07 [ 0.00 %]\n", + "Balance : 1.95e-07 [ 0.00 %]\n", + "Adjust : 0.386101 [ 70.91 %]\n", + "Total : 0.544467 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22595 1931 376 53 18 13 14 \n", + "1 : 22574 1939 379 66 20 15 7 \n", + "2 : 22562 1973 365 59 20 12 9 \n", + "3 : 22561 2001 337 67 14 12 8 \n", + "\n", + "T : 90292 7844 1457 245 72 52 38 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9849e-02 sec\n", + "--- Collate = 1.5036e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.235135e-05 < 1.562500e-03 [23]\n", + "--- Max DT=3.216962e-01 > 1.000000e-01 [70703]\n", + "----------------------------------------------------------------------\n", + " Component | low: 23/100000\n", + " Component | high: 70703/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=72.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00200501 [ 0.37 %]\n", + "Velocity : 0.0052351 [ 0.96 %]\n", + "Force : 0.11794 [ 21.68 %]\n", + "Coefs : 0.0306288 [ 5.63 %]\n", + "Output : 0.00196349 [ 0.36 %]\n", + "Levels : 0.000123548 [ 0.02 %]\n", + "Report : 2.86e-07 [ 0.00 %]\n", + "Balance : 2.11e-07 [ 0.00 %]\n", + "Adjust : 0.385978 [ 70.96 %]\n", + "Total : 0.543935 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22592 1931 379 52 14 19 13 \n", + "1 : 22561 1954 378 65 22 11 9 \n", + "2 : 22567 1965 367 60 17 12 12 \n", + "3 : 22564 2000 335 65 14 6 16 \n", + "\n", + "T : 90284 7850 1459 242 67 48 50 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9875e-02 sec\n", + "--- Collate = 1.6916e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.940969e-06 < 1.562500e-03 [33]\n", + "--- Max DT=3.215475e-01 > 1.000000e-01 [70704]\n", + "----------------------------------------------------------------------\n", + " Component | low: 33/100000\n", + " Component | high: 70704/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=72.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00198608 [ 0.37 %]\n", + "Velocity : 0.00499692 [ 0.92 %]\n", + "Force : 0.117621 [ 21.74 %]\n", + "Coefs : 0.030686 [ 5.67 %]\n", + "Output : 0.00191059 [ 0.35 %]\n", + "Levels : 0.000121876 [ 0.02 %]\n", + "Report : 2.04e-07 [ 0.00 %]\n", + "Balance : 2.11e-07 [ 0.00 %]\n", + "Adjust : 0.383732 [ 70.92 %]\n", + "Total : 0.541115 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22586 1939 380 48 16 18 13 \n", + "1 : 22563 1948 385 60 23 9 12 \n", + "2 : 22555 1973 371 53 21 13 14 \n", + "3 : 22554 2001 344 60 18 10 13 \n", + "\n", + "T : 90258 7861 1480 221 78 50 52 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9761e-02 sec\n", + "--- Collate = 1.3869e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.778215e-05 < 1.562500e-03 [25]\n", + "--- Max DT=3.213955e-01 > 1.000000e-01 [70701]\n", + "----------------------------------------------------------------------\n", + " Component | low: 25/100000\n", + " Component | high: 70701/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=72.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00203624 [ 0.38 %]\n", + "Velocity : 0.0049703 [ 0.92 %]\n", + "Force : 0.117726 [ 21.76 %]\n", + "Coefs : 0.0306991 [ 5.67 %]\n", + "Output : 0.00191322 [ 0.35 %]\n", + "Levels : 0.000121294 [ 0.02 %]\n", + "Report : 1.98e-07 [ 0.00 %]\n", + "Balance : 1.91e-07 [ 0.00 %]\n", + "Adjust : 0.383553 [ 70.89 %]\n", + "Total : 0.541079 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22587 1934 384 49 21 7 18 \n", + "1 : 22556 1949 392 66 15 8 14 \n", + "2 : 22559 1962 373 58 16 14 18 \n", + "3 : 22550 2007 347 56 17 6 17 \n", + "\n", + "T : 90252 7852 1496 229 69 35 67 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9155e-02 sec\n", + "--- Collate = 1.3869e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.263807e-06 < 1.562500e-03 [31]\n", + "--- Max DT=3.212404e-01 > 1.000000e-01 [70716]\n", + "----------------------------------------------------------------------\n", + " Component | low: 31/100000\n", + " Component | high: 70716/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=72.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00192248 [ 0.35 %]\n", + "Velocity : 0.00480198 [ 0.88 %]\n", + "Force : 0.118433 [ 21.78 %]\n", + "Coefs : 0.0302161 [ 5.56 %]\n", + "Output : 0.00200143 [ 0.37 %]\n", + "Levels : 0.00011884 [ 0.02 %]\n", + "Report : 1.79e-07 [ 0.00 %]\n", + "Balance : 1.19e-07 [ 0.00 %]\n", + "Adjust : 0.386181 [ 71.02 %]\n", + "Total : 0.543735 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22584 1931 385 56 16 15 13 \n", + "1 : 22549 1962 390 57 22 8 12 \n", + "2 : 22550 1974 371 61 13 12 19 \n", + "3 : 22538 2020 343 52 22 17 8 \n", + "\n", + "T : 90221 7887 1489 226 73 52 52 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9830e-02 sec\n", + "--- Collate = 1.1675e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.796290e-05 < 1.562500e-03 [23]\n", + "--- Max DT=3.210821e-01 > 1.000000e-01 [70726]\n", + "----------------------------------------------------------------------\n", + " Component | low: 23/100000\n", + " Component | high: 70726/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=72.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00169349 [ 0.32 %]\n", + "Velocity : 0.00464723 [ 0.87 %]\n", + "Force : 0.114747 [ 21.49 %]\n", + "Coefs : 0.0307524 [ 5.76 %]\n", + "Output : 0.00201091 [ 0.38 %]\n", + "Levels : 0.000109216 [ 0.02 %]\n", + "Report : 1.88e-07 [ 0.00 %]\n", + "Balance : 1.63e-07 [ 0.00 %]\n", + "Adjust : 0.380011 [ 71.16 %]\n", + "Total : 0.534024 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22581 1930 392 58 16 9 14 \n", + "1 : 22541 1960 400 58 20 13 8 \n", + "2 : 22550 1971 372 60 16 15 16 \n", + "3 : 22532 2021 345 55 25 13 9 \n", + "\n", + "T : 90204 7882 1509 231 77 50 47 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0004e-02 sec\n", + "--- Collate = 1.4305e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.826350e-05 < 1.562500e-03 [20]\n", + "--- Max DT=3.209206e-01 > 1.000000e-01 [70721]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 70721/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=72.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0016975 [ 0.32 %]\n", + "Velocity : 0.00443368 [ 0.83 %]\n", + "Force : 0.116092 [ 21.82 %]\n", + "Coefs : 0.0292057 [ 5.49 %]\n", + "Output : 0.0018391 [ 0.35 %]\n", + "Levels : 0.00012501 [ 0.02 %]\n", + "Report : 2e-07 [ 0.00 %]\n", + "Balance : 1.32e-07 [ 0.00 %]\n", + "Adjust : 0.378665 [ 71.16 %]\n", + "Total : 0.532114 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22581 1928 393 58 22 8 10 \n", + "1 : 22545 1959 404 50 23 13 6 \n", + "2 : 22540 1984 368 61 19 14 14 \n", + "3 : 22529 2019 348 59 26 10 9 \n", + "\n", + "T : 90195 7890 1513 228 90 45 39 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.7979e-02 sec\n", + "--- Collate = 1.0449e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.369930e-05 < 1.562500e-03 [20]\n", + "--- Max DT=3.207560e-01 > 1.000000e-01 [70720]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 70720/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=73] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00192649 [ 0.30 %]\n", + "Velocity : 0.00481232 [ 0.75 %]\n", + "Force : 0.11449 [ 17.88 %]\n", + "Coefs : 0.0285363 [ 4.46 %]\n", + "Output : 0.113484 [ 17.72 %]\n", + "Levels : 0.000115579 [ 0.02 %]\n", + "Report : 5.37e-07 [ 0.00 %]\n", + "Balance : 3.17e-07 [ 0.00 %]\n", + "Adjust : 0.376853 [ 58.86 %]\n", + "Total : 0.640272 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22574 1941 387 63 22 4 9 \n", + "1 : 22543 1968 389 60 22 10 8 \n", + "2 : 22541 1989 365 60 16 17 12 \n", + "3 : 22526 2015 355 64 17 10 13 \n", + "\n", + "T : 90184 7913 1496 247 77 41 42 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9208e-02 sec\n", + "--- Collate = 1.0916e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.516750e-06 < 1.562500e-03 [18]\n", + "--- Max DT=3.205883e-01 > 1.000000e-01 [70711]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 70711/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=73.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0017856 [ 0.34 %]\n", + "Velocity : 0.00463812 [ 0.89 %]\n", + "Force : 0.112184 [ 21.62 %]\n", + "Coefs : 0.0377278 [ 7.27 %]\n", + "Output : 0.0018235 [ 0.35 %]\n", + "Levels : 0.000107114 [ 0.02 %]\n", + "Report : 2.22e-07 [ 0.00 %]\n", + "Balance : 1.07e-07 [ 0.00 %]\n", + "Adjust : 0.360683 [ 69.49 %]\n", + "Total : 0.519005 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22571 1948 370 70 20 18 3 \n", + "1 : 22544 1975 373 71 22 4 11 \n", + "2 : 22527 1999 369 60 19 10 16 \n", + "3 : 22522 2017 363 57 18 8 15 \n", + "\n", + "T : 90164 7939 1475 258 79 40 45 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9771e-02 sec\n", + "--- Collate = 1.2344e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.142980e-05 < 1.562500e-03 [25]\n", + "--- Max DT=3.204176e-01 > 1.000000e-01 [70704]\n", + "----------------------------------------------------------------------\n", + " Component | low: 25/100000\n", + " Component | high: 70704/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=73.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00169241 [ 0.33 %]\n", + "Velocity : 0.00447237 [ 0.86 %]\n", + "Force : 0.113176 [ 21.82 %]\n", + "Coefs : 0.0297689 [ 5.74 %]\n", + "Output : 0.00177282 [ 0.34 %]\n", + "Levels : 0.000106535 [ 0.02 %]\n", + "Report : 1.95e-07 [ 0.00 %]\n", + "Balance : 1.12e-07 [ 0.00 %]\n", + "Adjust : 0.367626 [ 70.88 %]\n", + "Total : 0.518674 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22566 1944 379 70 17 16 8 \n", + "1 : 22536 1984 364 80 18 9 9 \n", + "2 : 22531 1989 373 60 18 11 18 \n", + "3 : 22513 2012 375 58 20 9 13 \n", + "\n", + "T : 90146 7929 1491 268 73 45 48 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0572e-02 sec\n", + "--- Collate = 1.1754e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.776050e-05 < 1.562500e-03 [27]\n", + "--- Max DT=3.202439e-01 > 1.000000e-01 [70709]\n", + "----------------------------------------------------------------------\n", + " Component | low: 27/100000\n", + " Component | high: 70709/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=73.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00189681 [ 0.36 %]\n", + "Velocity : 0.00524625 [ 0.99 %]\n", + "Force : 0.11447 [ 21.68 %]\n", + "Coefs : 0.0299982 [ 5.68 %]\n", + "Output : 0.00187183 [ 0.35 %]\n", + "Levels : 0.000102143 [ 0.02 %]\n", + "Report : 1.77e-07 [ 0.00 %]\n", + "Balance : 1.01e-07 [ 0.00 %]\n", + "Adjust : 0.374328 [ 70.90 %]\n", + "Total : 0.527972 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22563 1945 382 68 17 11 14 \n", + "1 : 22536 1991 357 75 23 10 8 \n", + "2 : 22528 1985 377 65 17 13 15 \n", + "3 : 22512 2011 376 59 21 11 10 \n", + "\n", + "T : 90139 7932 1492 267 78 45 47 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9395e-02 sec\n", + "--- Collate = 1.0941e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.252118e-05 < 1.562500e-03 [24]\n", + "--- Max DT=3.200671e-01 > 1.000000e-01 [70691]\n", + "----------------------------------------------------------------------\n", + " Component | low: 24/100000\n", + " Component | high: 70691/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=73.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00187038 [ 0.34 %]\n", + "Velocity : 0.00486508 [ 0.89 %]\n", + "Force : 0.121616 [ 22.26 %]\n", + "Coefs : 0.031355 [ 5.74 %]\n", + "Output : 0.00167281 [ 0.31 %]\n", + "Levels : 0.000137124 [ 0.03 %]\n", + "Report : 1.73e-07 [ 0.00 %]\n", + "Balance : 1.31e-07 [ 0.00 %]\n", + "Adjust : 0.384729 [ 70.42 %]\n", + "Total : 0.546303 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22555 1959 375 71 13 6 21 \n", + "1 : 22533 1988 358 82 21 11 7 \n", + "2 : 22530 1981 378 66 16 12 17 \n", + "3 : 22501 2024 375 54 25 13 8 \n", + "\n", + "T : 90119 7952 1486 273 75 42 53 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9688e-02 sec\n", + "--- Collate = 1.0959e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.804911e-05 < 1.562500e-03 [27]\n", + "--- Max DT=3.198874e-01 > 1.000000e-01 [70690]\n", + "----------------------------------------------------------------------\n", + " Component | low: 27/100000\n", + " Component | high: 70690/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=73.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00171204 [ 0.32 %]\n", + "Velocity : 0.00438315 [ 0.82 %]\n", + "Force : 0.115229 [ 21.59 %]\n", + "Coefs : 0.0310032 [ 5.81 %]\n", + "Output : 0.00181463 [ 0.34 %]\n", + "Levels : 0.000135894 [ 0.03 %]\n", + "Report : 1.58e-07 [ 0.00 %]\n", + "Balance : 9.2e-08 [ 0.00 %]\n", + "Adjust : 0.379315 [ 71.08 %]\n", + "Total : 0.53365 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22553 1957 380 62 18 12 18 \n", + "1 : 22534 1988 365 71 22 10 10 \n", + "2 : 22520 1989 380 67 18 10 16 \n", + "3 : 22491 2039 368 57 18 19 8 \n", + "\n", + "T : 90098 7973 1493 257 76 51 52 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.7892e-02 sec\n", + "--- Collate = 1.1506e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.581078e-05 < 1.562500e-03 [19]\n", + "--- Max DT=3.197048e-01 > 1.000000e-01 [70661]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 70661/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=73.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00196779 [ 0.37 %]\n", + "Velocity : 0.00516177 [ 0.97 %]\n", + "Force : 0.1159 [ 21.78 %]\n", + "Coefs : 0.0303643 [ 5.71 %]\n", + "Output : 0.00178456 [ 0.34 %]\n", + "Levels : 0.000122716 [ 0.02 %]\n", + "Report : 1.63e-07 [ 0.00 %]\n", + "Balance : 1.09e-07 [ 0.00 %]\n", + "Adjust : 0.37675 [ 70.80 %]\n", + "Total : 0.532109 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22555 1969 360 68 18 16 14 \n", + "1 : 22528 1989 368 67 27 12 9 \n", + "2 : 22510 1999 378 67 23 10 13 \n", + "3 : 22484 2041 383 44 21 13 14 \n", + "\n", + "T : 90077 7998 1489 246 89 51 50 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0191e-02 sec\n", + "--- Collate = 1.0927e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.746818e-05 < 1.562500e-03 [24]\n", + "--- Max DT=3.195195e-01 > 1.000000e-01 [70662]\n", + "----------------------------------------------------------------------\n", + " Component | low: 24/100000\n", + " Component | high: 70662/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=73.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0020548 [ 0.39 %]\n", + "Velocity : 0.00487454 [ 0.92 %]\n", + "Force : 0.115465 [ 21.73 %]\n", + "Coefs : 0.0304906 [ 5.74 %]\n", + "Output : 0.00174697 [ 0.33 %]\n", + "Levels : 0.000101319 [ 0.02 %]\n", + "Report : 2.66e-07 [ 0.00 %]\n", + "Balance : 1.13e-07 [ 0.00 %]\n", + "Adjust : 0.376637 [ 70.87 %]\n", + "Total : 0.531427 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22560 1966 358 62 26 19 9 \n", + "1 : 22530 1990 359 69 23 12 17 \n", + "2 : 22514 1992 379 68 27 13 7 \n", + "3 : 22475 2045 385 45 20 10 20 \n", + "\n", + "T : 90079 7993 1481 244 96 54 53 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0409e-02 sec\n", + "--- Collate = 1.1966e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.214395e-05 < 1.562500e-03 [28]\n", + "--- Max DT=3.193310e-01 > 1.000000e-01 [70677]\n", + "----------------------------------------------------------------------\n", + " Component | low: 28/100000\n", + " Component | high: 70677/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=73.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00186083 [ 0.35 %]\n", + "Velocity : 0.00458158 [ 0.86 %]\n", + "Force : 0.115044 [ 21.66 %]\n", + "Coefs : 0.0293372 [ 5.52 %]\n", + "Output : 0.0018044 [ 0.34 %]\n", + "Levels : 0.000110089 [ 0.02 %]\n", + "Report : 1.83e-07 [ 0.00 %]\n", + "Balance : 1.1e-07 [ 0.00 %]\n", + "Adjust : 0.378248 [ 71.23 %]\n", + "Total : 0.531042 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22557 1963 361 70 25 8 16 \n", + "1 : 22514 2007 359 64 24 13 19 \n", + "2 : 22507 2001 375 70 31 11 5 \n", + "3 : 22466 2055 371 59 19 10 20 \n", + "\n", + "T : 90044 8026 1466 263 99 42 60 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9991e-02 sec\n", + "--- Collate = 1.1095e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.582019e-07 < 1.562500e-03 [24]\n", + "--- Max DT=3.191397e-01 > 1.000000e-01 [70678]\n", + "----------------------------------------------------------------------\n", + " Component | low: 24/100000\n", + " Component | high: 70678/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=73.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00181056 [ 0.34 %]\n", + "Velocity : 0.00464526 [ 0.87 %]\n", + "Force : 0.116999 [ 21.80 %]\n", + "Coefs : 0.0319457 [ 5.95 %]\n", + "Output : 0.00177308 [ 0.33 %]\n", + "Levels : 0.000116998 [ 0.02 %]\n", + "Report : 2.16e-07 [ 0.00 %]\n", + "Balance : 1.02e-07 [ 0.00 %]\n", + "Adjust : 0.379254 [ 70.68 %]\n", + "Total : 0.536599 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22554 1965 365 61 28 14 13 \n", + "1 : 22516 2007 358 60 21 16 22 \n", + "2 : 22496 2012 381 63 29 11 8 \n", + "3 : 22461 2054 377 61 14 16 17 \n", + "\n", + "T : 90027 8038 1481 245 92 57 60 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9448e-02 sec\n", + "--- Collate = 1.3031e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.670112e-05 < 1.562500e-03 [25]\n", + "--- Max DT=3.189453e-01 > 1.000000e-01 [70665]\n", + "----------------------------------------------------------------------\n", + " Component | low: 25/100000\n", + " Component | high: 70665/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=74] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00180606 [ 0.27 %]\n", + "Velocity : 0.00453736 [ 0.68 %]\n", + "Force : 0.115806 [ 17.40 %]\n", + "Coefs : 0.031995 [ 4.81 %]\n", + "Output : 0.138017 [ 20.73 %]\n", + "Levels : 0.000163738 [ 0.02 %]\n", + "Report : 5.05e-07 [ 0.00 %]\n", + "Balance : 3.24e-07 [ 0.00 %]\n", + "Adjust : 0.373297 [ 56.08 %]\n", + "Total : 0.665678 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22541 1976 364 68 22 11 18 \n", + "1 : 22501 2017 364 58 22 19 19 \n", + "2 : 22484 2029 374 64 27 7 15 \n", + "3 : 22453 2062 367 69 18 18 13 \n", + "\n", + "T : 89979 8084 1469 259 89 55 65 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9812e-02 sec\n", + "--- Collate = 1.1879e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.629656e-06 < 1.562500e-03 [38]\n", + "--- Max DT=3.187478e-01 > 1.000000e-01 [70659]\n", + "----------------------------------------------------------------------\n", + " Component | low: 38/100000\n", + " Component | high: 70659/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=74.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00213152 [ 0.40 %]\n", + "Velocity : 0.0056351 [ 1.05 %]\n", + "Force : 0.117273 [ 21.79 %]\n", + "Coefs : 0.0297544 [ 5.53 %]\n", + "Output : 0.00193958 [ 0.36 %]\n", + "Levels : 0.000107986 [ 0.02 %]\n", + "Report : 1.72e-07 [ 0.00 %]\n", + "Balance : 1.12e-07 [ 0.00 %]\n", + "Adjust : 0.381382 [ 70.85 %]\n", + "Total : 0.538281 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22544 1971 373 66 13 20 13 \n", + "1 : 22494 2022 369 55 32 12 16 \n", + "2 : 22492 2019 375 67 18 14 15 \n", + "3 : 22432 2081 369 72 21 10 15 \n", + "\n", + "T : 89962 8093 1486 260 84 56 59 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0443e-02 sec\n", + "--- Collate = 1.0980e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.728854e-05 < 1.562500e-03 [28]\n", + "--- Max DT=3.190144e-01 > 1.000000e-01 [70650]\n", + "----------------------------------------------------------------------\n", + " Component | low: 28/100000\n", + " Component | high: 70650/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=74.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00165009 [ 0.30 %]\n", + "Velocity : 0.00493485 [ 0.90 %]\n", + "Force : 0.119679 [ 21.84 %]\n", + "Coefs : 0.0315936 [ 5.77 %]\n", + "Output : 0.00186596 [ 0.34 %]\n", + "Levels : 9.8333e-05 [ 0.02 %]\n", + "Report : 1.66e-07 [ 0.00 %]\n", + "Balance : 9.7e-08 [ 0.00 %]\n", + "Adjust : 0.38799 [ 70.82 %]\n", + "Total : 0.547872 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22545 1969 375 68 18 11 14 \n", + "1 : 22488 2032 359 65 30 14 12 \n", + "2 : 22489 2010 389 67 14 10 21 \n", + "3 : 22433 2080 365 75 21 14 12 \n", + "\n", + "T : 89955 8091 1488 275 83 49 59 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.8141e-02 sec\n", + "--- Collate = 1.2897e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.481902e-05 < 1.562500e-03 [21]\n", + "--- Max DT=3.195756e-01 > 1.000000e-01 [70639]\n", + "----------------------------------------------------------------------\n", + " Component | low: 21/100000\n", + " Component | high: 70639/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=74.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00180281 [ 0.33 %]\n", + "Velocity : 0.00472502 [ 0.87 %]\n", + "Force : 0.119533 [ 22.06 %]\n", + "Coefs : 0.0307749 [ 5.68 %]\n", + "Output : 0.0018276 [ 0.34 %]\n", + "Levels : 0.000111528 [ 0.02 %]\n", + "Report : 2.33e-07 [ 0.00 %]\n", + "Balance : 1.37e-07 [ 0.00 %]\n", + "Adjust : 0.383001 [ 70.69 %]\n", + "Total : 0.541833 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22559 1952 383 61 24 9 12 \n", + "1 : 22487 2020 369 73 25 15 11 \n", + "2 : 22490 2014 387 59 17 16 17 \n", + "3 : 22437 2069 377 72 19 14 12 \n", + "\n", + "T : 89973 8055 1516 265 85 54 52 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.8494e-02 sec\n", + "--- Collate = 1.2080e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.259114e-06 < 1.562500e-03 [29]\n", + "--- Max DT=3.201280e-01 > 1.000000e-01 [70644]\n", + "----------------------------------------------------------------------\n", + " Component | low: 29/100000\n", + " Component | high: 70644/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=74.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00167054 [ 0.32 %]\n", + "Velocity : 0.00423389 [ 0.81 %]\n", + "Force : 0.114681 [ 21.88 %]\n", + "Coefs : 0.0301748 [ 5.76 %]\n", + "Output : 0.00166196 [ 0.32 %]\n", + "Levels : 8.7529e-05 [ 0.02 %]\n", + "Report : 2.27e-07 [ 0.00 %]\n", + "Balance : 9.8e-08 [ 0.00 %]\n", + "Adjust : 0.371594 [ 70.89 %]\n", + "Total : 0.524158 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22560 1947 388 65 18 14 8 \n", + "1 : 22484 2016 379 68 24 15 14 \n", + "2 : 22482 2020 386 65 22 11 14 \n", + "3 : 22434 2065 385 77 18 11 10 \n", + "\n", + "T : 89960 8048 1538 275 82 51 46 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9674e-02 sec\n", + "--- Collate = 1.5904e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.670634e-06 < 1.562500e-03 [24]\n", + "--- Max DT=3.206708e-01 > 1.000000e-01 [70617]\n", + "----------------------------------------------------------------------\n", + " Component | low: 24/100000\n", + " Component | high: 70617/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=74.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00203849 [ 0.39 %]\n", + "Velocity : 0.00460101 [ 0.88 %]\n", + "Force : 0.113821 [ 21.68 %]\n", + "Coefs : 0.025915 [ 4.94 %]\n", + "Output : 0.00182885 [ 0.35 %]\n", + "Levels : 0.000131453 [ 0.03 %]\n", + "Report : 4.11e-07 [ 0.00 %]\n", + "Balance : 1.78e-07 [ 0.00 %]\n", + "Adjust : 0.376507 [ 71.73 %]\n", + "Total : 0.5249 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22564 1935 392 64 24 14 7 \n", + "1 : 22481 2010 380 76 24 12 17 \n", + "2 : 22480 2017 391 66 21 14 11 \n", + "3 : 22435 2066 381 76 23 6 13 \n", + "\n", + "T : 89960 8028 1544 282 92 46 48 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9782e-02 sec\n", + "--- Collate = 1.5657e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.610249e-05 < 1.562500e-03 [24]\n", + "--- Max DT=3.212046e-01 > 1.000000e-01 [70629]\n", + "----------------------------------------------------------------------\n", + " Component | low: 24/100000\n", + " Component | high: 70629/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=74.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00201095 [ 0.38 %]\n", + "Velocity : 0.0049255 [ 0.93 %]\n", + "Force : 0.114888 [ 21.60 %]\n", + "Coefs : 0.0299366 [ 5.63 %]\n", + "Output : 0.00183955 [ 0.35 %]\n", + "Levels : 0.000119274 [ 0.02 %]\n", + "Report : 2.52e-07 [ 0.00 %]\n", + "Balance : 3.05e-07 [ 0.00 %]\n", + "Adjust : 0.378124 [ 71.09 %]\n", + "Total : 0.531903 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22546 1954 394 60 25 12 9 \n", + "1 : 22483 2007 377 77 24 16 16 \n", + "2 : 22487 2009 387 78 19 13 7 \n", + "3 : 22427 2072 392 64 23 9 13 \n", + "\n", + "T : 89943 8042 1550 279 91 50 45 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9223e-02 sec\n", + "--- Collate = 1.0676e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.520597e-06 < 1.562500e-03 [24]\n", + "--- Max DT=3.217297e-01 > 1.000000e-01 [70634]\n", + "----------------------------------------------------------------------\n", + " Component | low: 24/100000\n", + " Component | high: 70634/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=74.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00187001 [ 0.36 %]\n", + "Velocity : 0.00469979 [ 0.91 %]\n", + "Force : 0.113798 [ 21.91 %]\n", + "Coefs : 0.0291556 [ 5.61 %]\n", + "Output : 0.00176662 [ 0.34 %]\n", + "Levels : 9.0777e-05 [ 0.02 %]\n", + "Report : 2.4e-07 [ 0.00 %]\n", + "Balance : 1.2e-07 [ 0.00 %]\n", + "Adjust : 0.367862 [ 70.84 %]\n", + "Total : 0.519296 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22558 1946 386 70 23 5 12 \n", + "1 : 22486 1998 379 80 21 18 18 \n", + "2 : 22485 2012 384 80 23 5 11 \n", + "3 : 22433 2062 396 64 20 13 12 \n", + "\n", + "T : 89962 8018 1545 294 87 41 53 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9165e-02 sec\n", + "--- Collate = 1.0301e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.971845e-05 < 1.562500e-03 [29]\n", + "--- Max DT=3.222473e-01 > 1.000000e-01 [70623]\n", + "----------------------------------------------------------------------\n", + " Component | low: 29/100000\n", + " Component | high: 70623/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=74.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0017138 [ 0.33 %]\n", + "Velocity : 0.00444474 [ 0.86 %]\n", + "Force : 0.113785 [ 22.13 %]\n", + "Coefs : 0.0283961 [ 5.52 %]\n", + "Output : 0.00167657 [ 0.33 %]\n", + "Levels : 0.000120583 [ 0.02 %]\n", + "Report : 1.94e-07 [ 0.00 %]\n", + "Balance : 1.73e-07 [ 0.00 %]\n", + "Adjust : 0.363955 [ 70.79 %]\n", + "Total : 0.514144 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22559 1940 392 70 14 11 14 \n", + "1 : 22491 1991 386 72 20 17 23 \n", + "2 : 22485 2011 391 70 26 10 7 \n", + "3 : 22436 2056 396 66 19 19 8 \n", + "\n", + "T : 89971 7998 1565 278 79 57 52 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9037e-02 sec\n", + "--- Collate = 1.1102e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.647716e-07 < 1.562500e-03 [31]\n", + "--- Max DT=3.227580e-01 > 1.000000e-01 [70632]\n", + "----------------------------------------------------------------------\n", + " Component | low: 31/100000\n", + " Component | high: 70632/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=74.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00183088 [ 0.36 %]\n", + "Velocity : 0.00466453 [ 0.91 %]\n", + "Force : 0.112993 [ 21.95 %]\n", + "Coefs : 0.0288514 [ 5.61 %]\n", + "Output : 0.00176714 [ 0.34 %]\n", + "Levels : 0.000113239 [ 0.02 %]\n", + "Report : 4.57e-07 [ 0.00 %]\n", + "Balance : 9e-08 [ 0.00 %]\n", + "Adjust : 0.364462 [ 70.81 %]\n", + "Total : 0.514735 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22550 1938 399 74 14 11 14 \n", + "1 : 22491 1994 383 68 28 12 24 \n", + "2 : 22488 2016 384 69 27 8 8 \n", + "3 : 22421 2066 403 64 22 9 15 \n", + "\n", + "T : 89950 8014 1569 275 91 40 61 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0690e-02 sec\n", + "--- Collate = 1.1111e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.406521e-06 < 1.562500e-03 [35]\n", + "--- Max DT=3.232605e-01 > 1.000000e-01 [70629]\n", + "----------------------------------------------------------------------\n", + " Component | low: 35/100000\n", + " Component | high: 70629/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=75] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0018169 [ 0.27 %]\n", + "Velocity : 0.00437741 [ 0.65 %]\n", + "Force : 0.116726 [ 17.31 %]\n", + "Coefs : 0.0297589 [ 4.41 %]\n", + "Output : 0.137793 [ 20.44 %]\n", + "Levels : 0.0001087 [ 0.02 %]\n", + "Report : 6.78e-07 [ 0.00 %]\n", + "Balance : 2.3e-07 [ 0.00 %]\n", + "Adjust : 0.383538 [ 56.89 %]\n", + "Total : 0.674179 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22556 1924 409 69 18 12 12 \n", + "1 : 22482 1994 392 71 26 17 18 \n", + "2 : 22483 2023 380 66 27 15 6 \n", + "3 : 22423 2062 408 63 19 9 16 \n", + "\n", + "T : 89944 8003 1589 269 90 53 52 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.8999e-02 sec\n", + "--- Collate = 1.1508e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.224323e-05 < 1.562500e-03 [23]\n", + "--- Max DT=3.237541e-01 > 1.000000e-01 [70618]\n", + "----------------------------------------------------------------------\n", + " Component | low: 23/100000\n", + " Component | high: 70618/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=75.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0017191 [ 0.33 %]\n", + "Velocity : 0.0103391 [ 2.00 %]\n", + "Force : 0.11462 [ 22.13 %]\n", + "Coefs : 0.0265875 [ 5.13 %]\n", + "Output : 0.00186095 [ 0.36 %]\n", + "Levels : 0.000120042 [ 0.02 %]\n", + "Report : 1.68e-07 [ 0.00 %]\n", + "Balance : 9.2e-08 [ 0.00 %]\n", + "Adjust : 0.362646 [ 70.02 %]\n", + "Total : 0.517946 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22554 1925 408 69 18 17 9 \n", + "1 : 22466 2019 378 74 31 17 15 \n", + "2 : 22477 2026 387 61 29 7 13 \n", + "3 : 22405 2082 401 62 19 14 17 \n", + "\n", + "T : 89902 8052 1574 266 97 55 54 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0383e-02 sec\n", + "--- Collate = 1.1521e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.794719e-05 < 1.562500e-03 [23]\n", + "--- Max DT=3.242385e-01 > 1.000000e-01 [70635]\n", + "----------------------------------------------------------------------\n", + " Component | low: 23/100000\n", + " Component | high: 70635/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=75.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00167981 [ 0.31 %]\n", + "Velocity : 0.00446812 [ 0.83 %]\n", + "Force : 0.116257 [ 21.58 %]\n", + "Coefs : 0.0295618 [ 5.49 %]\n", + "Output : 0.00189436 [ 0.35 %]\n", + "Levels : 0.000120717 [ 0.02 %]\n", + "Report : 1.82e-07 [ 0.00 %]\n", + "Balance : 1.04e-07 [ 0.00 %]\n", + "Adjust : 0.384784 [ 71.41 %]\n", + "Total : 0.538826 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22560 1921 407 68 17 16 11 \n", + "1 : 22455 2034 374 78 24 23 12 \n", + "2 : 22469 2027 391 62 21 16 14 \n", + "3 : 22415 2075 395 67 17 15 16 \n", + "\n", + "T : 89899 8057 1567 275 79 70 53 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0340e-02 sec\n", + "--- Collate = 1.4129e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.784788e-05 < 1.562500e-03 [30]\n", + "--- Max DT=3.247125e-01 > 1.000000e-01 [70636]\n", + "----------------------------------------------------------------------\n", + " Component | low: 30/100000\n", + " Component | high: 70636/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=75.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00175318 [ 0.32 %]\n", + "Velocity : 0.00468582 [ 0.85 %]\n", + "Force : 0.12034 [ 21.94 %]\n", + "Coefs : 0.0316082 [ 5.76 %]\n", + "Output : 0.00187998 [ 0.34 %]\n", + "Levels : 9.7574e-05 [ 0.02 %]\n", + "Report : 1.93e-07 [ 0.00 %]\n", + "Balance : 9.8e-08 [ 0.00 %]\n", + "Adjust : 0.388166 [ 70.76 %]\n", + "Total : 0.548591 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22563 1916 406 71 18 14 12 \n", + "1 : 22455 2036 367 86 27 13 16 \n", + "2 : 22471 2014 408 56 19 13 19 \n", + "3 : 22409 2081 385 74 21 14 16 \n", + "\n", + "T : 89898 8047 1566 287 85 54 63 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0122e-02 sec\n", + "--- Collate = 1.1763e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.010090e-05 < 1.562500e-03 [35]\n", + "--- Max DT=3.251769e-01 > 1.000000e-01 [70639]\n", + "----------------------------------------------------------------------\n", + " Component | low: 35/100000\n", + " Component | high: 70639/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=75.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00167945 [ 0.31 %]\n", + "Velocity : 0.00484802 [ 0.88 %]\n", + "Force : 0.120771 [ 22.02 %]\n", + "Coefs : 0.0325996 [ 5.94 %]\n", + "Output : 0.00187785 [ 0.34 %]\n", + "Levels : 9.7079e-05 [ 0.02 %]\n", + "Report : 6.8e-08 [ 0.00 %]\n", + "Balance : 8.7e-08 [ 0.00 %]\n", + "Adjust : 0.386551 [ 70.48 %]\n", + "Total : 0.548482 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22559 1926 397 72 22 7 17 \n", + "1 : 22456 2027 376 90 25 8 18 \n", + "2 : 22467 2016 407 61 16 16 17 \n", + "3 : 22397 2090 386 79 26 7 15 \n", + "\n", + "T : 89879 8059 1566 302 89 38 67 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.7090e-02 sec\n", + "--- Collate = 1.4968e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.878872e-05 < 1.562500e-03 [28]\n", + "--- Max DT=3.256314e-01 > 1.000000e-01 [70644]\n", + "----------------------------------------------------------------------\n", + " Component | low: 28/100000\n", + " Component | high: 70644/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=75.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00175296 [ 0.32 %]\n", + "Velocity : 0.0049091 [ 0.90 %]\n", + "Force : 0.120903 [ 22.23 %]\n", + "Coefs : 0.0313874 [ 5.77 %]\n", + "Output : 0.00187946 [ 0.35 %]\n", + "Levels : 9.7137e-05 [ 0.02 %]\n", + "Report : 1.89e-07 [ 0.00 %]\n", + "Balance : 9.6e-08 [ 0.00 %]\n", + "Adjust : 0.382765 [ 70.39 %]\n", + "Total : 0.543758 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22554 1933 403 65 22 14 9 \n", + "1 : 22458 2017 388 83 28 11 15 \n", + "2 : 22455 2022 412 58 22 13 18 \n", + "3 : 22399 2086 390 72 28 13 12 \n", + "\n", + "T : 89866 8058 1593 278 100 51 54 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0501e-02 sec\n", + "--- Collate = 1.1007e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.525907e-06 < 1.562500e-03 [15]\n", + "--- Max DT=3.260771e-01 > 1.000000e-01 [70646]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 70646/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=75.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00175688 [ 0.32 %]\n", + "Velocity : 0.0044882 [ 0.82 %]\n", + "Force : 0.119578 [ 21.96 %]\n", + "Coefs : 0.0314348 [ 5.77 %]\n", + "Output : 0.00183734 [ 0.34 %]\n", + "Levels : 0.000122431 [ 0.02 %]\n", + "Report : 1.59e-07 [ 0.00 %]\n", + "Balance : 1.04e-07 [ 0.00 %]\n", + "Adjust : 0.385362 [ 70.76 %]\n", + "Total : 0.544634 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22559 1930 404 61 22 14 10 \n", + "1 : 22455 2022 387 78 31 13 14 \n", + "2 : 22452 2032 409 59 22 12 14 \n", + "3 : 22399 2091 385 73 24 18 10 \n", + "\n", + "T : 89865 8075 1585 271 99 57 48 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0658e-02 sec\n", + "--- Collate = 2.6563e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.268536e-07 < 1.562500e-03 [22]\n", + "--- Max DT=3.265140e-01 > 1.000000e-01 [70650]\n", + "----------------------------------------------------------------------\n", + " Component | low: 22/100000\n", + " Component | high: 70650/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=75.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00161001 [ 0.30 %]\n", + "Velocity : 0.0046457 [ 0.86 %]\n", + "Force : 0.117372 [ 21.62 %]\n", + "Coefs : 0.0308391 [ 5.68 %]\n", + "Output : 0.00188239 [ 0.35 %]\n", + "Levels : 9.6163e-05 [ 0.02 %]\n", + "Report : 1.68e-07 [ 0.00 %]\n", + "Balance : 9e-08 [ 0.00 %]\n", + "Adjust : 0.386435 [ 71.17 %]\n", + "Total : 0.542943 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22557 1932 403 59 22 16 11 \n", + "1 : 22429 2043 396 65 36 16 15 \n", + "2 : 22446 2038 409 61 23 12 11 \n", + "3 : 22393 2097 385 74 24 13 14 \n", + "\n", + "T : 89825 8110 1593 259 105 57 51 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0644e-02 sec\n", + "--- Collate = 1.0907e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.970075e-06 < 1.562500e-03 [36]\n", + "--- Max DT=3.269424e-01 > 1.000000e-01 [70662]\n", + "----------------------------------------------------------------------\n", + " Component | low: 36/100000\n", + " Component | high: 70662/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=75.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00168975 [ 0.31 %]\n", + "Velocity : 0.00455497 [ 0.84 %]\n", + "Force : 0.12037 [ 22.08 %]\n", + "Coefs : 0.0322325 [ 5.91 %]\n", + "Output : 0.00184941 [ 0.34 %]\n", + "Levels : 9.382e-05 [ 0.02 %]\n", + "Report : 1.64e-07 [ 0.00 %]\n", + "Balance : 1.26e-07 [ 0.00 %]\n", + "Adjust : 0.384386 [ 70.50 %]\n", + "Total : 0.545237 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22565 1924 403 59 24 10 15 \n", + "1 : 22429 2043 391 70 37 11 19 \n", + "2 : 22442 2034 409 62 32 13 8 \n", + "3 : 22395 2084 393 77 26 10 15 \n", + "\n", + "T : 89831 8085 1596 268 119 44 57 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 2.0160e-02 sec\n", + "--- Collate = 1.0776e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.579356e-05 < 1.562500e-03 [27]\n", + "--- Max DT=3.273623e-01 > 1.000000e-01 [70658]\n", + "----------------------------------------------------------------------\n", + " Component | low: 27/100000\n", + " Component | high: 70658/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=75.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00181909 [ 0.33 %]\n", + "Velocity : 0.00442351 [ 0.81 %]\n", + "Force : 0.120645 [ 22.13 %]\n", + "Coefs : 0.0319827 [ 5.87 %]\n", + "Output : 0.00187001 [ 0.34 %]\n", + "Levels : 0.000110555 [ 0.02 %]\n", + "Report : 1.65e-07 [ 0.00 %]\n", + "Balance : 1.26e-07 [ 0.00 %]\n", + "Adjust : 0.384311 [ 70.49 %]\n", + "Total : 0.545225 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22556 1930 401 69 19 9 16 \n", + "1 : 22431 2026 402 74 32 18 17 \n", + "2 : 22438 2034 412 64 30 15 7 \n", + "3 : 22385 2091 388 86 23 12 15 \n", + "\n", + "T : 89810 8081 1603 293 104 54 55 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0415e-02 sec\n", + "--- Collate = 1.0520e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.711720e-06 < 1.562500e-03 [18]\n", + "--- Max DT=3.277742e-01 > 1.000000e-01 [70658]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 70658/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=76] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00183274 [ 0.27 %]\n", + "Velocity : 0.00466675 [ 0.68 %]\n", + "Force : 0.119157 [ 17.25 %]\n", + "Coefs : 0.0321997 [ 4.66 %]\n", + "Output : 0.148786 [ 21.54 %]\n", + "Levels : 0.000100832 [ 0.01 %]\n", + "Report : 4.11e-07 [ 0.00 %]\n", + "Balance : 3.13e-07 [ 0.00 %]\n", + "Adjust : 0.383903 [ 55.58 %]\n", + "Total : 0.690706 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22548 1937 401 69 22 10 13 \n", + "1 : 22425 2031 397 84 22 22 19 \n", + "2 : 22437 2037 411 66 26 11 12 \n", + "3 : 22373 2098 394 82 23 23 7 \n", + "\n", + "T : 89783 8103 1603 301 93 66 51 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0369e-02 sec\n", + "--- Collate = 1.1803e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.187060e-07 < 1.562500e-03 [25]\n", + "--- Max DT=3.281775e-01 > 1.000000e-01 [70657]\n", + "----------------------------------------------------------------------\n", + " Component | low: 25/100000\n", + " Component | high: 70657/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=76.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00199673 [ 0.37 %]\n", + "Velocity : 0.00532743 [ 0.99 %]\n", + "Force : 0.119335 [ 22.07 %]\n", + "Coefs : 0.0313327 [ 5.80 %]\n", + "Output : 0.00193142 [ 0.36 %]\n", + "Levels : 9.9216e-05 [ 0.02 %]\n", + "Report : 1.7e-07 [ 0.00 %]\n", + "Balance : 3.1e-08 [ 0.00 %]\n", + "Adjust : 0.380517 [ 70.39 %]\n", + "Total : 0.540602 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22540 1949 398 70 22 11 10 \n", + "1 : 22419 2035 401 77 25 20 23 \n", + "2 : 22428 2035 417 72 26 7 15 \n", + "3 : 22369 2102 397 78 29 15 10 \n", + "\n", + "T : 89756 8121 1613 297 102 53 58 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0330e-02 sec\n", + "--- Collate = 1.1208e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.923236e-05 < 1.562500e-03 [35]\n", + "--- Max DT=3.285723e-01 > 1.000000e-01 [70644]\n", + "----------------------------------------------------------------------\n", + " Component | low: 35/100000\n", + " Component | high: 70644/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=76.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00169284 [ 0.31 %]\n", + "Velocity : 0.00521467 [ 0.96 %]\n", + "Force : 0.118938 [ 21.98 %]\n", + "Coefs : 0.0316881 [ 5.86 %]\n", + "Output : 0.00193409 [ 0.36 %]\n", + "Levels : 0.000112548 [ 0.02 %]\n", + "Report : 1.56e-07 [ 0.00 %]\n", + "Balance : 8.6e-08 [ 0.00 %]\n", + "Adjust : 0.381483 [ 70.50 %]\n", + "Total : 0.541123 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22544 1948 389 73 22 14 10 \n", + "1 : 22416 2045 396 73 33 8 29 \n", + "2 : 22430 2025 418 80 21 8 18 \n", + "3 : 22369 2095 407 72 33 11 13 \n", + "\n", + "T : 89759 8113 1610 298 109 41 70 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9968e-02 sec\n", + "--- Collate = 1.1483e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.814800e-06 < 1.562500e-03 [37]\n", + "--- Max DT=3.289585e-01 > 1.000000e-01 [70645]\n", + "----------------------------------------------------------------------\n", + " Component | low: 37/100000\n", + " Component | high: 70645/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=76.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00182639 [ 0.34 %]\n", + "Velocity : 0.00460583 [ 0.85 %]\n", + "Force : 0.119124 [ 22.00 %]\n", + "Coefs : 0.0320169 [ 5.91 %]\n", + "Output : 0.00180988 [ 0.33 %]\n", + "Levels : 0.000109197 [ 0.02 %]\n", + "Report : 1.72e-07 [ 0.00 %]\n", + "Balance : 9.2e-08 [ 0.00 %]\n", + "Adjust : 0.382012 [ 70.54 %]\n", + "Total : 0.541561 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22547 1955 386 62 26 15 9 \n", + "1 : 22418 2048 392 81 28 11 22 \n", + "2 : 22429 2023 423 80 16 16 13 \n", + "3 : 22375 2086 409 76 26 13 15 \n", + "\n", + "T : 89769 8112 1610 299 96 55 59 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0050e-02 sec\n", + "--- Collate = 1.3129e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.934158e-05 < 1.562500e-03 [23]\n", + "--- Max DT=3.293361e-01 > 1.000000e-01 [70642]\n", + "----------------------------------------------------------------------\n", + " Component | low: 23/100000\n", + " Component | high: 70642/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=76.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00183015 [ 0.34 %]\n", + "Velocity : 0.0045992 [ 0.86 %]\n", + "Force : 0.11783 [ 21.95 %]\n", + "Coefs : 0.0314398 [ 5.86 %]\n", + "Output : 0.00184576 [ 0.34 %]\n", + "Levels : 8.7669e-05 [ 0.02 %]\n", + "Report : 4.3e-08 [ 0.00 %]\n", + "Balance : 9e-08 [ 0.00 %]\n", + "Adjust : 0.37911 [ 70.62 %]\n", + "Total : 0.536802 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22536 1966 390 60 27 9 12 \n", + "1 : 22411 2044 402 81 27 23 12 \n", + "2 : 22435 2019 422 80 14 11 19 \n", + "3 : 22359 2097 416 75 24 13 16 \n", + "\n", + "T : 89741 8126 1630 296 92 56 59 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9585e-02 sec\n", + "--- Collate = 1.1303e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.683619e-05 < 1.562500e-03 [32]\n", + "--- Max DT=3.297051e-01 > 1.000000e-01 [70643]\n", + "----------------------------------------------------------------------\n", + " Component | low: 32/100000\n", + " Component | high: 70643/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=76.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0017429 [ 0.32 %]\n", + "Velocity : 0.00483889 [ 0.89 %]\n", + "Force : 0.119952 [ 22.01 %]\n", + "Coefs : 0.0319548 [ 5.86 %]\n", + "Output : 0.00188532 [ 0.35 %]\n", + "Levels : 0.000111936 [ 0.02 %]\n", + "Report : 4.7e-07 [ 0.00 %]\n", + "Balance : 1.06e-07 [ 0.00 %]\n", + "Adjust : 0.384546 [ 70.55 %]\n", + "Total : 0.545087 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22532 1967 393 66 18 11 13 \n", + "1 : 22408 2043 407 80 30 24 8 \n", + "2 : 22425 2030 419 79 16 15 16 \n", + "3 : 22355 2101 414 71 22 21 16 \n", + "\n", + "T : 89720 8141 1633 296 86 71 53 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.8862e-02 sec\n", + "--- Collate = 1.0520e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.453835e-05 < 1.562500e-03 [31]\n", + "--- Max DT=3.300652e-01 > 1.000000e-01 [70650]\n", + "----------------------------------------------------------------------\n", + " Component | low: 31/100000\n", + " Component | high: 70650/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=76.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00165889 [ 0.31 %]\n", + "Velocity : 0.00481492 [ 0.89 %]\n", + "Force : 0.119663 [ 22.14 %]\n", + "Coefs : 0.0310384 [ 5.74 %]\n", + "Output : 0.00181885 [ 0.34 %]\n", + "Levels : 0.000100509 [ 0.02 %]\n", + "Report : 1.78e-07 [ 0.00 %]\n", + "Balance : 9.1e-08 [ 0.00 %]\n", + "Adjust : 0.381365 [ 70.56 %]\n", + "Total : 0.540519 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22529 1971 389 64 20 13 14 \n", + "1 : 22413 2038 407 82 27 22 11 \n", + "2 : 22427 2024 424 74 24 8 19 \n", + "3 : 22348 2109 406 81 23 13 20 \n", + "\n", + "T : 89717 8142 1626 301 94 56 64 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0128e-02 sec\n", + "--- Collate = 1.1099e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.450157e-05 < 1.562500e-03 [31]\n", + "--- Max DT=3.304163e-01 > 1.000000e-01 [70668]\n", + "----------------------------------------------------------------------\n", + " Component | low: 31/100000\n", + " Component | high: 70668/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=76.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00174714 [ 0.32 %]\n", + "Velocity : 0.0047204 [ 0.87 %]\n", + "Force : 0.117828 [ 21.74 %]\n", + "Coefs : 0.0312625 [ 5.77 %]\n", + "Output : 0.00188711 [ 0.35 %]\n", + "Levels : 0.000106546 [ 0.02 %]\n", + "Report : 2.65e-07 [ 0.00 %]\n", + "Balance : 1.01e-07 [ 0.00 %]\n", + "Adjust : 0.384465 [ 70.92 %]\n", + "Total : 0.542074 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22523 1982 376 69 25 9 16 \n", + "1 : 22415 2032 412 78 32 11 20 \n", + "2 : 22428 2022 426 69 27 12 16 \n", + "3 : 22351 2106 411 75 26 16 15 \n", + "\n", + "T : 89717 8142 1625 291 110 48 67 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.8688e-02 sec\n", + "--- Collate = 1.0761e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.199262e-06 < 1.562500e-03 [33]\n", + "--- Max DT=3.307591e-01 > 1.000000e-01 [70689]\n", + "----------------------------------------------------------------------\n", + " Component | low: 33/100000\n", + " Component | high: 70689/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=76.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00182168 [ 0.34 %]\n", + "Velocity : 0.00488229 [ 0.91 %]\n", + "Force : 0.117138 [ 21.80 %]\n", + "Coefs : 0.0314393 [ 5.85 %]\n", + "Output : 0.00178331 [ 0.33 %]\n", + "Levels : 9.0541e-05 [ 0.02 %]\n", + "Report : 1.61e-07 [ 0.00 %]\n", + "Balance : 8.1e-08 [ 0.00 %]\n", + "Adjust : 0.380076 [ 70.74 %]\n", + "Total : 0.537288 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22521 1982 376 67 28 12 14 \n", + "1 : 22412 2035 418 72 30 12 21 \n", + "2 : 22416 2026 434 66 28 16 14 \n", + "3 : 22356 2100 409 77 26 17 15 \n", + "\n", + "T : 89705 8143 1637 282 112 57 64 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0034e-02 sec\n", + "--- Collate = 9.9420e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.094452e-05 < 1.562500e-03 [31]\n", + "--- Max DT=3.310929e-01 > 1.000000e-01 [70687]\n", + "----------------------------------------------------------------------\n", + " Component | low: 31/100000\n", + " Component | high: 70687/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=76.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00194629 [ 0.36 %]\n", + "Velocity : 0.00470823 [ 0.88 %]\n", + "Force : 0.116961 [ 21.80 %]\n", + "Coefs : 0.0303799 [ 5.66 %]\n", + "Output : 0.00187033 [ 0.35 %]\n", + "Levels : 0.000110498 [ 0.02 %]\n", + "Report : 1.85e-07 [ 0.00 %]\n", + "Balance : 1.2e-07 [ 0.00 %]\n", + "Adjust : 0.380513 [ 70.92 %]\n", + "Total : 0.536547 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22517 1981 380 68 26 14 14 \n", + "1 : 22410 2023 430 75 25 13 24 \n", + "2 : 22420 2017 439 65 26 20 13 \n", + "3 : 22342 2105 417 71 34 18 13 \n", + "\n", + "T : 89689 8126 1666 279 111 65 64 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0209e-02 sec\n", + "--- Collate = 1.2390e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.419652e-05 < 1.562500e-03 [37]\n", + "--- Max DT=3.314477e-01 > 1.000000e-01 [70670]\n", + "----------------------------------------------------------------------\n", + " Component | low: 37/100000\n", + " Component | high: 70670/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=77] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00218212 [ 0.33 %]\n", + "Velocity : 0.00504256 [ 0.77 %]\n", + "Force : 0.118756 [ 18.04 %]\n", + "Coefs : 0.031362 [ 4.76 %]\n", + "Output : 0.120401 [ 18.29 %]\n", + "Levels : 0.000111059 [ 0.02 %]\n", + "Report : 6.48e-07 [ 0.00 %]\n", + "Balance : 3.95e-07 [ 0.00 %]\n", + "Adjust : 0.380296 [ 57.78 %]\n", + "Total : 0.658209 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22508 1983 383 79 18 15 14 \n", + "1 : 22412 2017 433 77 23 19 19 \n", + "2 : 22415 2031 424 73 26 14 17 \n", + "3 : 22340 2110 418 76 26 14 16 \n", + "\n", + "T : 89675 8141 1658 305 93 62 66 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0415e-02 sec\n", + "--- Collate = 1.1936e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.441411e-06 < 1.562500e-03 [32]\n", + "--- Max DT=3.318035e-01 > 1.000000e-01 [70673]\n", + "----------------------------------------------------------------------\n", + " Component | low: 32/100000\n", + " Component | high: 70673/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=77.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00171196 [ 0.31 %]\n", + "Velocity : 0.00517332 [ 0.95 %]\n", + "Force : 0.117238 [ 21.53 %]\n", + "Coefs : 0.0399899 [ 7.34 %]\n", + "Output : 0.0017922 [ 0.33 %]\n", + "Levels : 0.00013362 [ 0.02 %]\n", + "Report : 1.83e-07 [ 0.00 %]\n", + "Balance : 1.6e-07 [ 0.00 %]\n", + "Adjust : 0.378518 [ 69.50 %]\n", + "Total : 0.544613 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22509 1976 383 83 23 11 15 \n", + "1 : 22414 2012 431 84 21 20 18 \n", + "2 : 22414 2035 420 75 21 16 19 \n", + "3 : 22346 2102 412 82 30 11 17 \n", + "\n", + "T : 89683 8125 1646 324 95 58 69 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.9993e-02 sec\n", + "--- Collate = 1.0815e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.264792e-05 < 1.562500e-03 [29]\n", + "--- Max DT=3.321528e-01 > 1.000000e-01 [70665]\n", + "----------------------------------------------------------------------\n", + " Component | low: 29/100000\n", + " Component | high: 70665/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=77.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00177655 [ 0.33 %]\n", + "Velocity : 0.00448227 [ 0.83 %]\n", + "Force : 0.118724 [ 22.09 %]\n", + "Coefs : 0.0316426 [ 5.89 %]\n", + "Output : 0.00176003 [ 0.33 %]\n", + "Levels : 9.3317e-05 [ 0.02 %]\n", + "Report : 1.71e-07 [ 0.00 %]\n", + "Balance : 9.9e-08 [ 0.00 %]\n", + "Adjust : 0.378978 [ 70.51 %]\n", + "Total : 0.537515 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22508 1974 390 83 23 8 14 \n", + "1 : 22421 1996 446 76 23 23 15 \n", + "2 : 22411 2032 420 80 21 19 17 \n", + "3 : 22338 2116 413 77 29 13 14 \n", + "\n", + "T : 89678 8118 1669 316 96 63 60 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0360e-02 sec\n", + "--- Collate = 1.1834e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.474753e-06 < 1.562500e-03 [28]\n", + "--- Max DT=3.324955e-01 > 1.000000e-01 [70662]\n", + "----------------------------------------------------------------------\n", + " Component | low: 28/100000\n", + " Component | high: 70662/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=77.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00184864 [ 0.34 %]\n", + "Velocity : 0.00496276 [ 0.92 %]\n", + "Force : 0.116998 [ 21.73 %]\n", + "Coefs : 0.0314963 [ 5.85 %]\n", + "Output : 0.0018556 [ 0.34 %]\n", + "Levels : 9.5082e-05 [ 0.02 %]\n", + "Report : 1.75e-07 [ 0.00 %]\n", + "Balance : 1.29e-07 [ 0.00 %]\n", + "Adjust : 0.381066 [ 70.78 %]\n", + "Total : 0.538381 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22507 1969 391 95 16 10 12 \n", + "1 : 22417 1992 457 76 30 9 19 \n", + "2 : 22411 2034 413 84 27 16 15 \n", + "3 : 22329 2126 413 80 24 14 14 \n", + "\n", + "T : 89664 8121 1674 335 97 49 60 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9561e-02 sec\n", + "--- Collate = 1.2195e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.362318e-05 < 1.562500e-03 [24]\n", + "--- Max DT=3.328313e-01 > 1.000000e-01 [70651]\n", + "----------------------------------------------------------------------\n", + " Component | low: 24/100000\n", + " Component | high: 70651/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=77.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00173786 [ 0.33 %]\n", + "Velocity : 0.00487146 [ 0.92 %]\n", + "Force : 0.116973 [ 22.02 %]\n", + "Coefs : 0.0314688 [ 5.93 %]\n", + "Output : 0.00179838 [ 0.34 %]\n", + "Levels : 0.00010424 [ 0.02 %]\n", + "Report : 1.84e-07 [ 0.00 %]\n", + "Balance : 1.19e-07 [ 0.00 %]\n", + "Adjust : 0.374091 [ 70.44 %]\n", + "Total : 0.531103 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22503 1974 393 82 27 10 11 \n", + "1 : 22412 1996 455 75 32 15 15 \n", + "2 : 22412 2031 411 94 26 14 12 \n", + "3 : 22328 2127 417 73 23 14 18 \n", + "\n", + "T : 89655 8128 1676 324 108 53 56 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9184e-02 sec\n", + "--- Collate = 1.2552e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.736094e-06 < 1.562500e-03 [20]\n", + "--- Max DT=3.331603e-01 > 1.000000e-01 [70666]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 70666/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=77.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00175005 [ 0.33 %]\n", + "Velocity : 0.00433798 [ 0.83 %]\n", + "Force : 0.114668 [ 21.83 %]\n", + "Coefs : 0.0308457 [ 5.87 %]\n", + "Output : 0.00175496 [ 0.33 %]\n", + "Levels : 8.2439e-05 [ 0.02 %]\n", + "Report : 1.82e-07 [ 0.00 %]\n", + "Balance : 9.2e-08 [ 0.00 %]\n", + "Adjust : 0.371759 [ 70.78 %]\n", + "Total : 0.525255 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22507 1970 392 80 31 12 8 \n", + "1 : 22405 1996 460 75 32 23 9 \n", + "2 : 22413 2030 415 95 26 11 10 \n", + "3 : 22333 2107 429 77 21 17 16 \n", + "\n", + "T : 89658 8103 1696 327 110 63 43 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.8224e-02 sec\n", + "--- Collate = 1.1349e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.100827e-05 < 1.562500e-03 [20]\n", + "--- Max DT=3.334826e-01 > 1.000000e-01 [70667]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 70667/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=77.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00172796 [ 0.32 %]\n", + "Velocity : 0.00491194 [ 0.92 %]\n", + "Force : 0.11553 [ 21.69 %]\n", + "Coefs : 0.0303471 [ 5.70 %]\n", + "Output : 0.00185539 [ 0.35 %]\n", + "Levels : 0.000108982 [ 0.02 %]\n", + "Report : 1.58e-07 [ 0.00 %]\n", + "Balance : 1.12e-07 [ 0.00 %]\n", + "Adjust : 0.378068 [ 70.98 %]\n", + "Total : 0.532605 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22486 1995 393 73 30 12 11 \n", + "1 : 22411 1993 452 85 28 18 13 \n", + "2 : 22418 2022 420 93 24 12 11 \n", + "3 : 22325 2109 429 84 21 15 17 \n", + "\n", + "T : 89640 8119 1694 335 103 57 52 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9497e-02 sec\n", + "--- Collate = 1.2442e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.491212e-06 < 1.562500e-03 [32]\n", + "--- Max DT=3.337980e-01 > 1.000000e-01 [70645]\n", + "----------------------------------------------------------------------\n", + " Component | low: 32/100000\n", + " Component | high: 70645/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=77.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0018766 [ 0.35 %]\n", + "Velocity : 0.00472824 [ 0.89 %]\n", + "Force : 0.114937 [ 21.60 %]\n", + "Coefs : 0.030843 [ 5.80 %]\n", + "Output : 0.00178057 [ 0.33 %]\n", + "Levels : 9.1489e-05 [ 0.02 %]\n", + "Report : 1.86e-07 [ 0.00 %]\n", + "Balance : 1.66e-07 [ 0.00 %]\n", + "Adjust : 0.377919 [ 71.01 %]\n", + "Total : 0.532232 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22469 2014 388 70 28 16 15 \n", + "1 : 22408 1988 458 83 35 9 19 \n", + "2 : 22411 2029 423 85 30 9 13 \n", + "3 : 22330 2102 433 77 28 18 12 \n", + "\n", + "T : 89618 8133 1702 315 121 52 59 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.7856e-02 sec\n", + "--- Collate = 1.3721e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.586628e-06 < 1.562500e-03 [35]\n", + "--- Max DT=3.341069e-01 > 1.000000e-01 [70656]\n", + "----------------------------------------------------------------------\n", + " Component | low: 35/100000\n", + " Component | high: 70656/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=77.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0019732 [ 0.37 %]\n", + "Velocity : 0.00531042 [ 1.00 %]\n", + "Force : 0.116148 [ 21.93 %]\n", + "Coefs : 0.0307564 [ 5.81 %]\n", + "Output : 0.00173532 [ 0.33 %]\n", + "Levels : 0.000120377 [ 0.02 %]\n", + "Report : 1.9e-07 [ 0.00 %]\n", + "Balance : 1.06e-07 [ 0.00 %]\n", + "Adjust : 0.373556 [ 70.53 %]\n", + "Total : 0.529655 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22470 2008 394 70 28 12 18 \n", + "1 : 22402 2000 449 93 23 14 19 \n", + "2 : 22408 2032 432 71 29 13 15 \n", + "3 : 22326 2098 445 68 29 20 14 \n", + "\n", + "T : 89606 8138 1720 302 109 59 66 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0635e-02 sec\n", + "--- Collate = 1.1692e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.316923e-06 < 1.562500e-03 [31]\n", + "--- Max DT=3.344093e-01 > 1.000000e-01 [70659]\n", + "----------------------------------------------------------------------\n", + " Component | low: 31/100000\n", + " Component | high: 70659/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=77.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00191953 [ 0.35 %]\n", + "Velocity : 0.00526717 [ 0.97 %]\n", + "Force : 0.118553 [ 21.88 %]\n", + "Coefs : 0.0299586 [ 5.53 %]\n", + "Output : 0.00181937 [ 0.34 %]\n", + "Levels : 0.000101888 [ 0.02 %]\n", + "Report : 1.7e-07 [ 0.00 %]\n", + "Balance : 1.04e-07 [ 0.00 %]\n", + "Adjust : 0.384236 [ 70.90 %]\n", + "Total : 0.541916 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22473 1999 395 74 21 17 21 \n", + "1 : 22412 1991 451 86 21 23 16 \n", + "2 : 22418 2025 426 71 26 19 15 \n", + "3 : 22331 2102 439 68 29 16 15 \n", + "\n", + "T : 89634 8117 1711 299 97 75 67 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0811e-02 sec\n", + "--- Collate = 2.0527e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.364683e-05 < 1.562500e-03 [32]\n", + "--- Max DT=3.347050e-01 > 1.000000e-01 [70657]\n", + "----------------------------------------------------------------------\n", + " Component | low: 32/100000\n", + " Component | high: 70657/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=78] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00169289 [ 0.26 %]\n", + "Velocity : 0.00474553 [ 0.72 %]\n", + "Force : 0.12076 [ 18.39 %]\n", + "Coefs : 0.0325023 [ 4.95 %]\n", + "Output : 0.114182 [ 17.39 %]\n", + "Levels : 0.000137019 [ 0.02 %]\n", + "Report : 1.95e-07 [ 0.00 %]\n", + "Balance : 2.24e-07 [ 0.00 %]\n", + "Adjust : 0.382647 [ 58.27 %]\n", + "Total : 0.656726 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22480 1992 389 78 21 18 22 \n", + "1 : 22409 2001 449 80 28 16 17 \n", + "2 : 22425 2019 430 61 29 19 17 \n", + "3 : 22330 2100 441 64 28 18 19 \n", + "\n", + "T : 89644 8112 1709 283 106 71 75 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0410e-02 sec\n", + "--- Collate = 1.4333e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.831129e-06 < 1.562500e-03 [45]\n", + "--- Max DT=3.349938e-01 > 1.000000e-01 [70644]\n", + "----------------------------------------------------------------------\n", + " Component | low: 45/100000\n", + " Component | high: 70644/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=78.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00167286 [ 0.29 %]\n", + "Velocity : 0.00463293 [ 0.80 %]\n", + "Force : 0.121471 [ 21.10 %]\n", + "Coefs : 0.0575394 [ 10.00 %]\n", + "Output : 0.00204604 [ 0.36 %]\n", + "Levels : 0.000142128 [ 0.02 %]\n", + "Report : 2.39e-07 [ 0.00 %]\n", + "Balance : 1.43e-07 [ 0.00 %]\n", + "Adjust : 0.388011 [ 67.41 %]\n", + "Total : 0.575577 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22461 2004 395 71 29 21 19 \n", + "1 : 22416 1994 446 81 24 19 20 \n", + "2 : 22419 2016 442 56 29 13 25 \n", + "3 : 22331 2103 441 61 29 18 17 \n", + "\n", + "T : 89627 8117 1724 269 111 71 81 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9315e-02 sec\n", + "--- Collate = 1.1936e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.700438e-05 < 1.562500e-03 [39]\n", + "--- Max DT=3.352753e-01 > 1.000000e-01 [70639]\n", + "----------------------------------------------------------------------\n", + " Component | low: 39/100000\n", + " Component | high: 70639/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=78.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00229234 [ 0.44 %]\n", + "Velocity : 0.00539935 [ 1.04 %]\n", + "Force : 0.113531 [ 21.92 %]\n", + "Coefs : 0.0309589 [ 5.98 %]\n", + "Output : 0.00203644 [ 0.39 %]\n", + "Levels : 0.000120248 [ 0.02 %]\n", + "Report : 2.48e-07 [ 0.00 %]\n", + "Balance : 1.21e-07 [ 0.00 %]\n", + "Adjust : 0.363468 [ 70.19 %]\n", + "Total : 0.517866 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22466 2000 391 70 30 23 20 \n", + "1 : 22405 2011 437 86 23 14 24 \n", + "2 : 22427 2002 444 62 29 12 24 \n", + "3 : 22328 2110 431 65 31 15 20 \n", + "\n", + "T : 89626 8123 1703 283 113 64 88 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9215e-02 sec\n", + "--- Collate = 1.3307e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.928956e-05 < 1.562500e-03 [33]\n", + "--- Max DT=3.355494e-01 > 1.000000e-01 [70630]\n", + "----------------------------------------------------------------------\n", + " Component | low: 33/100000\n", + " Component | high: 70630/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=78.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00207861 [ 0.40 %]\n", + "Velocity : 0.00545581 [ 1.04 %]\n", + "Force : 0.116178 [ 22.13 %]\n", + "Coefs : 0.0304827 [ 5.81 %]\n", + "Output : 0.00204911 [ 0.39 %]\n", + "Levels : 0.000127685 [ 0.02 %]\n", + "Report : 2.45e-07 [ 0.00 %]\n", + "Balance : 1.35e-07 [ 0.00 %]\n", + "Adjust : 0.368514 [ 70.20 %]\n", + "Total : 0.524945 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22459 1999 397 75 30 21 19 \n", + "1 : 22393 2027 431 91 23 14 21 \n", + "2 : 22427 1999 443 74 23 16 18 \n", + "3 : 22326 2118 423 68 30 17 18 \n", + "\n", + "T : 89605 8143 1694 308 106 68 76 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0609e-02 sec\n", + "--- Collate = 1.1894e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.698647e-06 < 1.562500e-03 [30]\n", + "--- Max DT=3.358159e-01 > 1.000000e-01 [70630]\n", + "----------------------------------------------------------------------\n", + " Component | low: 30/100000\n", + " Component | high: 70630/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=78.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0020248 [ 0.38 %]\n", + "Velocity : 0.00510104 [ 0.95 %]\n", + "Force : 0.117454 [ 21.82 %]\n", + "Coefs : 0.0300586 [ 5.59 %]\n", + "Output : 0.00195511 [ 0.36 %]\n", + "Levels : 0.000101636 [ 0.02 %]\n", + "Report : 1.93e-07 [ 0.00 %]\n", + "Balance : 1.16e-07 [ 0.00 %]\n", + "Adjust : 0.381426 [ 70.87 %]\n", + "Total : 0.538177 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22462 1994 398 72 34 20 20 \n", + "1 : 22384 2036 430 88 32 10 20 \n", + "2 : 22431 1993 446 76 23 20 11 \n", + "3 : 22317 2126 420 77 28 20 12 \n", + "\n", + "T : 89594 8149 1694 313 117 70 63 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0054e-02 sec\n", + "--- Collate = 1.0477e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.868375e-06 < 1.562500e-03 [29]\n", + "--- Max DT=3.360740e-01 > 1.000000e-01 [70620]\n", + "----------------------------------------------------------------------\n", + " Component | low: 29/100000\n", + " Component | high: 70620/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=78.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00192004 [ 0.35 %]\n", + "Velocity : 0.00484225 [ 0.89 %]\n", + "Force : 0.12007 [ 22.10 %]\n", + "Coefs : 0.0324602 [ 5.98 %]\n", + "Output : 0.00176007 [ 0.32 %]\n", + "Levels : 9.87e-05 [ 0.02 %]\n", + "Report : 7.56e-07 [ 0.00 %]\n", + "Balance : 5.2e-08 [ 0.00 %]\n", + "Adjust : 0.38198 [ 70.32 %]\n", + "Total : 0.543189 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22464 1990 394 86 30 14 22 \n", + "1 : 22399 2028 421 93 27 16 16 \n", + "2 : 22434 1987 442 81 28 14 14 \n", + "3 : 22331 2111 425 79 25 14 15 \n", + "\n", + "T : 89628 8116 1682 339 110 58 67 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0071e-02 sec\n", + "--- Collate = 1.0740e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.394126e-06 < 1.562500e-03 [30]\n", + "--- Max DT=3.363254e-01 > 1.000000e-01 [70602]\n", + "----------------------------------------------------------------------\n", + " Component | low: 30/100000\n", + " Component | high: 70602/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=78.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00197278 [ 0.36 %]\n", + "Velocity : 0.00481677 [ 0.88 %]\n", + "Force : 0.120598 [ 22.10 %]\n", + "Coefs : 0.0324382 [ 5.94 %]\n", + "Output : 0.00180759 [ 0.33 %]\n", + "Levels : 0.000100382 [ 0.02 %]\n", + "Report : 1.66e-07 [ 0.00 %]\n", + "Balance : 1.13e-07 [ 0.00 %]\n", + "Adjust : 0.383905 [ 70.35 %]\n", + "Total : 0.545694 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22451 2005 386 96 20 22 20 \n", + "1 : 22401 2030 419 90 27 20 13 \n", + "2 : 22434 1988 439 91 24 9 15 \n", + "3 : 22326 2117 422 78 32 14 11 \n", + "\n", + "T : 89612 8140 1666 355 103 65 59 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0158e-02 sec\n", + "--- Collate = 1.5624e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.809085e-05 < 1.562500e-03 [24]\n", + "--- Max DT=3.365704e-01 > 1.000000e-01 [70617]\n", + "----------------------------------------------------------------------\n", + " Component | low: 24/100000\n", + " Component | high: 70617/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=78.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00170435 [ 0.31 %]\n", + "Velocity : 0.00461516 [ 0.84 %]\n", + "Force : 0.119427 [ 21.81 %]\n", + "Coefs : 0.0314064 [ 5.74 %]\n", + "Output : 0.00182343 [ 0.33 %]\n", + "Levels : 9.1713e-05 [ 0.02 %]\n", + "Report : 2.66e-07 [ 0.00 %]\n", + "Balance : 1.12e-07 [ 0.00 %]\n", + "Adjust : 0.388483 [ 70.94 %]\n", + "Total : 0.547607 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22448 2005 395 91 25 16 20 \n", + "1 : 22407 2020 429 80 35 17 12 \n", + "2 : 22430 1998 435 96 20 7 14 \n", + "3 : 22328 2112 416 88 33 10 13 \n", + "\n", + "T : 89613 8135 1675 355 113 50 59 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.7130e-02 sec\n", + "--- Collate = 1.1416e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.592757e-05 < 1.562500e-03 [25]\n", + "--- Max DT=3.368095e-01 > 1.000000e-01 [70631]\n", + "----------------------------------------------------------------------\n", + " Component | low: 25/100000\n", + " Component | high: 70631/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=78.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00183117 [ 0.33 %]\n", + "Velocity : 0.00488422 [ 0.88 %]\n", + "Force : 0.120719 [ 21.81 %]\n", + "Coefs : 0.0308754 [ 5.58 %]\n", + "Output : 0.00192533 [ 0.35 %]\n", + "Levels : 0.00010631 [ 0.02 %]\n", + "Report : 1.57e-07 [ 0.00 %]\n", + "Balance : 1.28e-07 [ 0.00 %]\n", + "Adjust : 0.393219 [ 71.03 %]\n", + "Total : 0.55362 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22440 2003 401 88 35 16 17 \n", + "1 : 22397 2032 419 93 27 16 16 \n", + "2 : 22426 1997 434 97 20 17 9 \n", + "3 : 22319 2121 410 94 29 18 9 \n", + "\n", + "T : 89582 8153 1664 372 111 67 51 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9774e-02 sec\n", + "--- Collate = 1.1932e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.088788e-05 < 1.562500e-03 [28]\n", + "--- Max DT=3.370431e-01 > 1.000000e-01 [70629]\n", + "----------------------------------------------------------------------\n", + " Component | low: 28/100000\n", + " Component | high: 70629/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=78.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00173832 [ 0.33 %]\n", + "Velocity : 0.00497132 [ 0.95 %]\n", + "Force : 0.112874 [ 21.53 %]\n", + "Coefs : 0.0297994 [ 5.68 %]\n", + "Output : 0.00167703 [ 0.32 %]\n", + "Levels : 9.1693e-05 [ 0.02 %]\n", + "Report : 1.57e-07 [ 0.00 %]\n", + "Balance : 9.7e-08 [ 0.00 %]\n", + "Adjust : 0.373148 [ 71.16 %]\n", + "Total : 0.524355 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22450 1987 401 91 34 22 15 \n", + "1 : 22398 2030 423 90 27 11 21 \n", + "2 : 22422 1991 446 90 26 16 9 \n", + "3 : 22316 2118 414 100 21 18 13 \n", + "\n", + "T : 89586 8126 1684 371 108 67 58 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0013e-02 sec\n", + "--- Collate = 1.1376e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.679746e-05 < 1.562500e-03 [32]\n", + "--- Max DT=3.372714e-01 > 1.000000e-01 [70627]\n", + "----------------------------------------------------------------------\n", + " Component | low: 32/100000\n", + " Component | high: 70627/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=79] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00157382 [ 0.23 %]\n", + "Velocity : 0.00485066 [ 0.72 %]\n", + "Force : 0.112867 [ 16.80 %]\n", + "Coefs : 0.0312596 [ 4.65 %]\n", + "Output : 0.146876 [ 21.86 %]\n", + "Levels : 0.000105024 [ 0.02 %]\n", + "Report : 3.75e-07 [ 0.00 %]\n", + "Balance : 2.61e-07 [ 0.00 %]\n", + "Adjust : 0.37441 [ 55.72 %]\n", + "Total : 0.671995 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22452 1975 409 94 30 21 19 \n", + "1 : 22395 2038 414 95 24 12 22 \n", + "2 : 22423 1993 447 83 30 15 9 \n", + "3 : 22314 2121 416 93 25 19 12 \n", + "\n", + "T : 89584 8127 1686 365 109 67 62 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9196e-02 sec\n", + "--- Collate = 1.3299e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.862370e-06 < 1.562500e-03 [41]\n", + "--- Max DT=3.374942e-01 > 1.000000e-01 [70600]\n", + "----------------------------------------------------------------------\n", + " Component | low: 41/100000\n", + " Component | high: 70600/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=79.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00234139 [ 0.45 %]\n", + "Velocity : 0.00552289 [ 1.05 %]\n", + "Force : 0.117304 [ 22.29 %]\n", + "Coefs : 0.0311299 [ 5.92 %]\n", + "Output : 0.00205504 [ 0.39 %]\n", + "Levels : 0.000136588 [ 0.03 %]\n", + "Report : 2.63e-07 [ 0.00 %]\n", + "Balance : 1.38e-07 [ 0.00 %]\n", + "Adjust : 0.367588 [ 69.86 %]\n", + "Total : 0.526149 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22455 1965 421 89 31 15 24 \n", + "1 : 22391 2039 416 94 19 21 20 \n", + "2 : 22411 2002 453 77 27 18 12 \n", + "3 : 22313 2119 422 81 36 12 17 \n", + "\n", + "T : 89570 8125 1712 341 113 66 73 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9168e-02 sec\n", + "--- Collate = 1.2187e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.909585e-06 < 1.562500e-03 [43]\n", + "--- Max DT=3.377112e-01 > 1.000000e-01 [70578]\n", + "----------------------------------------------------------------------\n", + " Component | low: 43/100000\n", + " Component | high: 70578/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=79.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00205175 [ 0.39 %]\n", + "Velocity : 0.00566946 [ 1.07 %]\n", + "Force : 0.1179 [ 22.29 %]\n", + "Coefs : 0.0312619 [ 5.91 %]\n", + "Output : 0.00201423 [ 0.38 %]\n", + "Levels : 0.000149557 [ 0.03 %]\n", + "Report : 2.29e-07 [ 0.00 %]\n", + "Balance : 1.45e-07 [ 0.00 %]\n", + "Adjust : 0.3699 [ 69.92 %]\n", + "Total : 0.529007 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22454 1954 430 90 27 18 27 \n", + "1 : 22392 2036 418 91 20 23 20 \n", + "2 : 22402 2017 446 68 34 13 20 \n", + "3 : 22309 2120 429 85 24 14 19 \n", + "\n", + "T : 89557 8127 1723 334 105 68 86 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9260e-02 sec\n", + "--- Collate = 1.2913e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.532393e-05 < 1.562500e-03 [39]\n", + "--- Max DT=3.379216e-01 > 1.000000e-01 [70572]\n", + "----------------------------------------------------------------------\n", + " Component | low: 39/100000\n", + " Component | high: 70572/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=79.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00209029 [ 0.40 %]\n", + "Velocity : 0.00508759 [ 0.96 %]\n", + "Force : 0.118217 [ 22.38 %]\n", + "Coefs : 0.0307485 [ 5.82 %]\n", + "Output : 0.00197717 [ 0.37 %]\n", + "Levels : 0.000115995 [ 0.02 %]\n", + "Report : 2.42e-07 [ 0.00 %]\n", + "Balance : 1.25e-07 [ 0.00 %]\n", + "Adjust : 0.369957 [ 70.03 %]\n", + "Total : 0.528252 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22451 1961 434 80 18 33 23 \n", + "1 : 22391 2034 414 93 34 14 20 \n", + "2 : 22399 2018 442 76 30 17 18 \n", + "3 : 22302 2120 436 82 24 16 20 \n", + "\n", + "T : 89543 8133 1726 331 106 80 81 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9159e-02 sec\n", + "--- Collate = 1.4259e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.694118e-06 < 1.562500e-03 [36]\n", + "--- Max DT=3.381254e-01 > 1.000000e-01 [70587]\n", + "----------------------------------------------------------------------\n", + " Component | low: 36/100000\n", + " Component | high: 70587/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=79.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00217867 [ 0.41 %]\n", + "Velocity : 0.00513393 [ 0.97 %]\n", + "Force : 0.118434 [ 22.37 %]\n", + "Coefs : 0.0311894 [ 5.89 %]\n", + "Output : 0.00207211 [ 0.39 %]\n", + "Levels : 0.000125078 [ 0.02 %]\n", + "Report : 2.41e-07 [ 0.00 %]\n", + "Balance : 1.29e-07 [ 0.00 %]\n", + "Adjust : 0.37031 [ 69.94 %]\n", + "Total : 0.529502 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22443 1964 437 78 25 24 29 \n", + "1 : 22382 2049 409 94 33 18 15 \n", + "2 : 22401 2021 430 87 25 14 22 \n", + "3 : 22304 2119 435 81 25 17 19 \n", + "\n", + "T : 89530 8153 1711 340 108 73 85 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9700e-02 sec\n", + "--- Collate = 1.2939e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.071772e-06 < 1.562500e-03 [46]\n", + "--- Max DT=3.383229e-01 > 1.000000e-01 [70597]\n", + "----------------------------------------------------------------------\n", + " Component | low: 46/100000\n", + " Component | high: 70597/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=79.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00220666 [ 0.41 %]\n", + "Velocity : 0.00547318 [ 1.02 %]\n", + "Force : 0.119938 [ 22.36 %]\n", + "Coefs : 0.0312725 [ 5.83 %]\n", + "Output : 0.00203696 [ 0.38 %]\n", + "Levels : 0.000116144 [ 0.02 %]\n", + "Report : 3.7e-07 [ 0.00 %]\n", + "Balance : 1.09e-07 [ 0.00 %]\n", + "Adjust : 0.375392 [ 69.97 %]\n", + "Total : 0.536498 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22444 1954 444 77 33 18 30 \n", + "1 : 22387 2043 410 92 34 19 15 \n", + "2 : 22401 2025 424 88 22 21 19 \n", + "3 : 22304 2109 440 87 25 17 18 \n", + "\n", + "T : 89536 8131 1718 344 114 75 82 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.8656e-02 sec\n", + "--- Collate = 1.2179e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.588175e-06 < 1.562500e-03 [45]\n", + "--- Max DT=3.385140e-01 > 1.000000e-01 [70594]\n", + "----------------------------------------------------------------------\n", + " Component | low: 45/100000\n", + " Component | high: 70594/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=79.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00218313 [ 0.40 %]\n", + "Velocity : 0.00545569 [ 0.99 %]\n", + "Force : 0.122405 [ 22.30 %]\n", + "Coefs : 0.0320986 [ 5.85 %]\n", + "Output : 0.001987 [ 0.36 %]\n", + "Levels : 0.000124498 [ 0.02 %]\n", + "Report : 2.38e-07 [ 0.00 %]\n", + "Balance : 1.43e-07 [ 0.00 %]\n", + "Adjust : 0.384687 [ 70.07 %]\n", + "Total : 0.549005 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22440 1956 446 79 37 16 26 \n", + "1 : 22389 2028 421 94 34 22 12 \n", + "2 : 22407 2014 427 91 27 13 21 \n", + "3 : 22310 2100 448 77 30 13 22 \n", + "\n", + "T : 89546 8098 1742 341 128 64 81 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9324e-02 sec\n", + "--- Collate = 1.2717e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.441431e-05 < 1.562500e-03 [35]\n", + "--- Max DT=3.386992e-01 > 1.000000e-01 [70592]\n", + "----------------------------------------------------------------------\n", + " Component | low: 35/100000\n", + " Component | high: 70592/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=79.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00201515 [ 0.38 %]\n", + "Velocity : 0.00512969 [ 0.97 %]\n", + "Force : 0.116871 [ 22.17 %]\n", + "Coefs : 0.0302456 [ 5.74 %]\n", + "Output : 0.00197581 [ 0.37 %]\n", + "Levels : 0.000131953 [ 0.03 %]\n", + "Report : 2.41e-07 [ 0.00 %]\n", + "Balance : 1.3e-07 [ 0.00 %]\n", + "Adjust : 0.370835 [ 70.33 %]\n", + "Total : 0.527263 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22436 1964 438 92 28 25 17 \n", + "1 : 22381 2036 417 98 33 16 19 \n", + "2 : 22403 2013 433 84 36 13 18 \n", + "3 : 22307 2098 446 85 28 17 19 \n", + "\n", + "T : 89527 8111 1734 359 125 71 73 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9698e-02 sec\n", + "--- Collate = 1.4298e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.609500e-05 < 1.562500e-03 [31]\n", + "--- Max DT=3.388787e-01 > 1.000000e-01 [70585]\n", + "----------------------------------------------------------------------\n", + " Component | low: 31/100000\n", + " Component | high: 70585/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=79.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00200682 [ 0.38 %]\n", + "Velocity : 0.00564961 [ 1.06 %]\n", + "Force : 0.118149 [ 22.15 %]\n", + "Coefs : 0.0306551 [ 5.75 %]\n", + "Output : 0.00196803 [ 0.37 %]\n", + "Levels : 0.000120364 [ 0.02 %]\n", + "Report : 2.45e-07 [ 0.00 %]\n", + "Balance : 1.18e-07 [ 0.00 %]\n", + "Adjust : 0.3749 [ 70.27 %]\n", + "Total : 0.533509 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22441 1949 456 85 33 23 13 \n", + "1 : 22384 2030 421 98 23 21 23 \n", + "2 : 22403 2016 424 92 25 22 18 \n", + "3 : 22299 2101 458 75 35 16 16 \n", + "\n", + "T : 89527 8096 1759 350 116 82 70 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9570e-02 sec\n", + "--- Collate = 1.2875e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.730325e-05 < 1.562500e-03 [38]\n", + "--- Max DT=3.390529e-01 > 1.000000e-01 [70580]\n", + "----------------------------------------------------------------------\n", + " Component | low: 38/100000\n", + " Component | high: 70580/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=79.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00221717 [ 0.42 %]\n", + "Velocity : 0.00521982 [ 0.98 %]\n", + "Force : 0.119294 [ 22.34 %]\n", + "Coefs : 0.0308393 [ 5.78 %]\n", + "Output : 0.00193584 [ 0.36 %]\n", + "Levels : 0.000128589 [ 0.02 %]\n", + "Report : 2.38e-07 [ 0.00 %]\n", + "Balance : 1.33e-07 [ 0.00 %]\n", + "Adjust : 0.374264 [ 70.09 %]\n", + "Total : 0.533959 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22442 1942 458 91 33 21 13 \n", + "1 : 22384 2035 417 102 18 15 29 \n", + "2 : 22396 2015 439 89 22 19 20 \n", + "3 : 22301 2103 445 87 35 12 17 \n", + "\n", + "T : 89523 8095 1759 369 108 67 79 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9428e-02 sec\n", + "--- Collate = 1.2729e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.253642e-05 < 1.562500e-03 [38]\n", + "--- Max DT=3.392217e-01 > 1.000000e-01 [70583]\n", + "----------------------------------------------------------------------\n", + " Component | low: 38/100000\n", + " Component | high: 70583/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=80] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00225279 [ 0.33 %]\n", + "Velocity : 0.00514716 [ 0.76 %]\n", + "Force : 0.118589 [ 17.56 %]\n", + "Coefs : 0.0308244 [ 4.56 %]\n", + "Output : 0.145705 [ 21.57 %]\n", + "Levels : 0.000133565 [ 0.02 %]\n", + "Report : 5.92e-07 [ 0.00 %]\n", + "Balance : 4e-07 [ 0.00 %]\n", + "Adjust : 0.372689 [ 55.18 %]\n", + "Total : 0.675404 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22450 1940 455 94 23 23 15 \n", + "1 : 22381 2032 423 100 20 16 28 \n", + "2 : 22401 2006 444 84 30 12 23 \n", + "3 : 22302 2088 449 99 25 23 14 \n", + "\n", + "T : 89534 8066 1771 377 98 74 80 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.8923e-02 sec\n", + "--- Collate = 1.4125e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.196996e-05 < 1.562500e-03 [43]\n", + "--- Max DT=3.394010e-01 > 1.000000e-01 [70587]\n", + "----------------------------------------------------------------------\n", + " Component | low: 43/100000\n", + " Component | high: 70587/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=80.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00218597 [ 0.41 %]\n", + "Velocity : 0.00528523 [ 0.99 %]\n", + "Force : 0.118475 [ 22.22 %]\n", + "Coefs : 0.0302474 [ 5.67 %]\n", + "Output : 0.00189987 [ 0.36 %]\n", + "Levels : 0.000150297 [ 0.03 %]\n", + "Report : 2.47e-07 [ 0.00 %]\n", + "Balance : 1.17e-07 [ 0.00 %]\n", + "Adjust : 0.374905 [ 70.31 %]\n", + "Total : 0.533209 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22449 1941 455 90 31 11 23 \n", + "1 : 22388 2026 424 98 22 17 25 \n", + "2 : 22388 2015 452 82 21 17 25 \n", + "3 : 22300 2092 447 100 26 16 19 \n", + "\n", + "T : 89525 8074 1778 370 100 61 92 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9515e-02 sec\n", + "--- Collate = 1.2949e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.181089e-06 < 1.562500e-03 [55]\n", + "--- Max DT=3.396518e-01 > 1.000000e-01 [70584]\n", + "----------------------------------------------------------------------\n", + " Component | low: 55/100000\n", + " Component | high: 70584/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=80.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00222579 [ 0.41 %]\n", + "Velocity : 0.00533834 [ 0.99 %]\n", + "Force : 0.116393 [ 21.65 %]\n", + "Coefs : 0.0313722 [ 5.84 %]\n", + "Output : 0.00195593 [ 0.36 %]\n", + "Levels : 0.0106954 [ 1.99 %]\n", + "Report : 3.73e-07 [ 0.00 %]\n", + "Balance : 1.36e-07 [ 0.00 %]\n", + "Adjust : 0.369536 [ 68.74 %]\n", + "Total : 0.537575 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22447 1945 448 91 32 12 25 \n", + "1 : 22392 2016 432 89 30 24 17 \n", + "2 : 22398 2004 446 82 24 22 24 \n", + "3 : 22296 2097 443 96 28 18 22 \n", + "\n", + "T : 89533 8062 1769 358 114 76 88 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9843e-02 sec\n", + "--- Collate = 1.4710e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.010600e-05 < 1.562500e-03 [40]\n", + "--- Max DT=3.398967e-01 > 1.000000e-01 [70598]\n", + "----------------------------------------------------------------------\n", + " Component | low: 40/100000\n", + " Component | high: 70598/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=80.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00211111 [ 0.39 %]\n", + "Velocity : 0.00671867 [ 1.25 %]\n", + "Force : 0.119623 [ 22.20 %]\n", + "Coefs : 0.031004 [ 5.75 %]\n", + "Output : 0.00198235 [ 0.37 %]\n", + "Levels : 0.000137642 [ 0.03 %]\n", + "Report : 2.56e-07 [ 0.00 %]\n", + "Balance : 1.41e-07 [ 0.00 %]\n", + "Adjust : 0.3773 [ 70.01 %]\n", + "Total : 0.538951 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22440 1949 447 91 27 27 19 \n", + "1 : 22397 2013 431 86 38 20 15 \n", + "2 : 22384 2018 442 79 33 24 20 \n", + "3 : 22294 2096 439 99 32 15 25 \n", + "\n", + "T : 89515 8076 1759 355 130 86 79 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9742e-02 sec\n", + "--- Collate = 1.3431e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.535410e-05 < 1.562500e-03 [34]\n", + "--- Max DT=3.401359e-01 > 1.000000e-01 [70589]\n", + "----------------------------------------------------------------------\n", + " Component | low: 34/100000\n", + " Component | high: 70589/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=80.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00239279 [ 0.44 %]\n", + "Velocity : 0.00540992 [ 1.00 %]\n", + "Force : 0.12043 [ 22.27 %]\n", + "Coefs : 0.0315801 [ 5.84 %]\n", + "Output : 0.00200438 [ 0.37 %]\n", + "Levels : 0.000116305 [ 0.02 %]\n", + "Report : 2.4e-07 [ 0.00 %]\n", + "Balance : 1.41e-07 [ 0.00 %]\n", + "Adjust : 0.378831 [ 70.05 %]\n", + "Total : 0.540826 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22446 1946 446 88 28 24 22 \n", + "1 : 22401 2011 426 84 41 26 11 \n", + "2 : 22379 2015 451 76 33 23 23 \n", + "3 : 22292 2102 436 97 25 22 26 \n", + "\n", + "T : 89518 8074 1759 345 127 95 82 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9575e-02 sec\n", + "--- Collate = 1.2494e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.819103e-05 < 1.562500e-03 [56]\n", + "--- Max DT=3.403693e-01 > 1.000000e-01 [70583]\n", + "----------------------------------------------------------------------\n", + " Component | low: 56/100000\n", + " Component | high: 70583/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=80.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00201055 [ 0.37 %]\n", + "Velocity : 0.00524994 [ 0.96 %]\n", + "Force : 0.119477 [ 21.92 %]\n", + "Coefs : 0.0309407 [ 5.68 %]\n", + "Output : 0.00204404 [ 0.38 %]\n", + "Levels : 0.000113487 [ 0.02 %]\n", + "Report : 2.49e-07 [ 0.00 %]\n", + "Balance : 1.86e-07 [ 0.00 %]\n", + "Adjust : 0.385095 [ 70.66 %]\n", + "Total : 0.54499 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22447 1937 449 95 30 17 25 \n", + "1 : 22396 2021 414 96 38 17 18 \n", + "2 : 22378 2007 462 74 37 17 25 \n", + "3 : 22300 2083 448 97 28 21 23 \n", + "\n", + "T : 89521 8048 1773 362 133 72 91 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9851e-02 sec\n", + "--- Collate = 1.4183e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.118693e-06 < 1.562500e-03 [49]\n", + "--- Max DT=3.405970e-01 > 1.000000e-01 [70596]\n", + "----------------------------------------------------------------------\n", + " Component | low: 49/100000\n", + " Component | high: 70596/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=80.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00207696 [ 0.38 %]\n", + "Velocity : 0.00523966 [ 0.96 %]\n", + "Force : 0.121848 [ 22.21 %]\n", + "Coefs : 0.0316402 [ 5.77 %]\n", + "Output : 0.00205887 [ 0.38 %]\n", + "Levels : 0.0001266 [ 0.02 %]\n", + "Report : 2.46e-07 [ 0.00 %]\n", + "Balance : 1.91e-07 [ 0.00 %]\n", + "Adjust : 0.38555 [ 70.28 %]\n", + "Total : 0.548603 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22436 1947 450 95 32 13 27 \n", + "1 : 22401 2018 414 92 37 18 20 \n", + "2 : 22385 1998 459 81 37 16 24 \n", + "3 : 22297 2086 461 88 30 14 24 \n", + "\n", + "T : 89519 8049 1784 356 136 61 95 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.8903e-02 sec\n", + "--- Collate = 1.2554e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.240827e-06 < 1.562500e-03 [38]\n", + "--- Max DT=3.408187e-01 > 1.000000e-01 [70596]\n", + "----------------------------------------------------------------------\n", + " Component | low: 38/100000\n", + " Component | high: 70596/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=80.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00210002 [ 0.39 %]\n", + "Velocity : 0.00562667 [ 1.04 %]\n", + "Force : 0.119428 [ 22.00 %]\n", + "Coefs : 0.0312219 [ 5.75 %]\n", + "Output : 0.00200599 [ 0.37 %]\n", + "Levels : 0.00010972 [ 0.02 %]\n", + "Report : 2.57e-07 [ 0.00 %]\n", + "Balance : 1.25e-07 [ 0.00 %]\n", + "Adjust : 0.382375 [ 70.43 %]\n", + "Total : 0.542929 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22434 1932 466 94 33 22 19 \n", + "1 : 22408 2015 400 98 32 25 22 \n", + "2 : 22389 1998 440 97 28 31 17 \n", + "3 : 22307 2077 457 88 34 17 20 \n", + "\n", + "T : 89538 8022 1763 377 127 95 78 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.8844e-02 sec\n", + "--- Collate = 1.3083e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.443101e-05 < 1.562500e-03 [35]\n", + "--- Max DT=3.410353e-01 > 1.000000e-01 [70598]\n", + "----------------------------------------------------------------------\n", + " Component | low: 35/100000\n", + " Component | high: 70598/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=80.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00197952 [ 0.37 %]\n", + "Velocity : 0.00495498 [ 0.92 %]\n", + "Force : 0.118701 [ 22.07 %]\n", + "Coefs : 0.0311933 [ 5.80 %]\n", + "Output : 0.00194325 [ 0.36 %]\n", + "Levels : 0.000116257 [ 0.02 %]\n", + "Report : 2.44e-07 [ 0.00 %]\n", + "Balance : 1.42e-07 [ 0.00 %]\n", + "Adjust : 0.378985 [ 70.45 %]\n", + "Total : 0.537931 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22431 1939 456 100 40 18 16 \n", + "1 : 22402 2013 417 91 29 23 25 \n", + "2 : 22390 1998 438 103 28 22 21 \n", + "3 : 22301 2070 466 90 32 22 19 \n", + "\n", + "T : 89524 8020 1777 384 129 85 81 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0037e-02 sec\n", + "--- Collate = 1.3342e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.900417e-06 < 1.562500e-03 [43]\n", + "--- Max DT=3.412467e-01 > 1.000000e-01 [70601]\n", + "----------------------------------------------------------------------\n", + " Component | low: 43/100000\n", + " Component | high: 70601/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=80.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00206348 [ 0.38 %]\n", + "Velocity : 0.0052745 [ 0.97 %]\n", + "Force : 0.12035 [ 22.11 %]\n", + "Coefs : 0.0311115 [ 5.72 %]\n", + "Output : 0.00201837 [ 0.37 %]\n", + "Levels : 0.000118034 [ 0.02 %]\n", + "Report : 2.63e-07 [ 0.00 %]\n", + "Balance : 1.28e-07 [ 0.00 %]\n", + "Adjust : 0.383221 [ 70.42 %]\n", + "Total : 0.544218 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22424 1943 460 98 43 18 14 \n", + "1 : 22408 1997 426 89 31 23 26 \n", + "2 : 22393 1988 450 98 33 17 21 \n", + "3 : 22297 2077 455 94 36 18 23 \n", + "\n", + "T : 89522 8005 1791 379 143 76 84 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9767e-02 sec\n", + "--- Collate = 1.2301e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.056884e-05 < 1.562500e-03 [45]\n", + "--- Max DT=3.414535e-01 > 1.000000e-01 [70590]\n", + "----------------------------------------------------------------------\n", + " Component | low: 45/100000\n", + " Component | high: 70590/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=81] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00191712 [ 0.29 %]\n", + "Velocity : 0.00536032 [ 0.82 %]\n", + "Force : 0.120915 [ 18.58 %]\n", + "Coefs : 0.031143 [ 4.78 %]\n", + "Output : 0.108861 [ 16.73 %]\n", + "Levels : 0.000131104 [ 0.02 %]\n", + "Report : 6.25e-07 [ 0.00 %]\n", + "Balance : 1.91e-07 [ 0.00 %]\n", + "Adjust : 0.382474 [ 58.76 %]\n", + "Total : 0.650861 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22411 1952 459 105 36 16 21 \n", + "1 : 22399 1997 428 91 36 22 27 \n", + "2 : 22384 2000 438 108 33 16 21 \n", + "3 : 22285 2089 465 87 31 17 26 \n", + "\n", + "T : 89479 8038 1790 391 136 71 95 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0126e-02 sec\n", + "--- Collate = 1.4165e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.086823e-05 < 1.562500e-03 [49]\n", + "--- Max DT=3.416556e-01 > 1.000000e-01 [70612]\n", + "----------------------------------------------------------------------\n", + " Component | low: 49/100000\n", + " Component | high: 70612/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=81.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00189631 [ 0.34 %]\n", + "Velocity : 0.00591371 [ 1.07 %]\n", + "Force : 0.119383 [ 21.63 %]\n", + "Coefs : 0.0407928 [ 7.39 %]\n", + "Output : 0.00198701 [ 0.36 %]\n", + "Levels : 0.000119294 [ 0.02 %]\n", + "Report : 2.62e-07 [ 0.00 %]\n", + "Balance : 1.98e-07 [ 0.00 %]\n", + "Adjust : 0.381846 [ 69.18 %]\n", + "Total : 0.551999 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22416 1943 465 107 31 19 19 \n", + "1 : 22394 2008 419 92 35 30 22 \n", + "2 : 22374 2012 438 105 25 25 21 \n", + "3 : 22273 2100 459 90 35 15 28 \n", + "\n", + "T : 89457 8063 1781 394 126 89 90 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0136e-02 sec\n", + "--- Collate = 1.3071e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.049340e-07 < 1.562500e-03 [49]\n", + "--- Max DT=3.418528e-01 > 1.000000e-01 [70607]\n", + "----------------------------------------------------------------------\n", + " Component | low: 49/100000\n", + " Component | high: 70607/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=81.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00219796 [ 0.40 %]\n", + "Velocity : 0.00513915 [ 0.95 %]\n", + "Force : 0.120133 [ 22.10 %]\n", + "Coefs : 0.0316671 [ 5.82 %]\n", + "Output : 0.00199397 [ 0.37 %]\n", + "Levels : 0.000129887 [ 0.02 %]\n", + "Report : 2.39e-07 [ 0.00 %]\n", + "Balance : 1.22e-07 [ 0.00 %]\n", + "Adjust : 0.38238 [ 70.33 %]\n", + "Total : 0.5437 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22407 1953 461 110 18 24 27 \n", + "1 : 22383 2024 419 88 33 27 26 \n", + "2 : 22373 2004 446 103 33 19 22 \n", + "3 : 22282 2096 450 89 34 27 22 \n", + "\n", + "T : 89445 8077 1776 390 118 97 97 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9143e-02 sec\n", + "--- Collate = 1.2533e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.335038e-05 < 1.562500e-03 [53]\n", + "--- Max DT=3.420451e-01 > 1.000000e-01 [70608]\n", + "----------------------------------------------------------------------\n", + " Component | low: 53/100000\n", + " Component | high: 70608/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=81.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0021876 [ 0.40 %]\n", + "Velocity : 0.0051958 [ 0.96 %]\n", + "Force : 0.119569 [ 22.05 %]\n", + "Coefs : 0.0312718 [ 5.77 %]\n", + "Output : 0.00199041 [ 0.37 %]\n", + "Levels : 0.000117867 [ 0.02 %]\n", + "Report : 2.41e-07 [ 0.00 %]\n", + "Balance : 1.4e-07 [ 0.00 %]\n", + "Adjust : 0.381979 [ 70.43 %]\n", + "Total : 0.542375 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22408 1943 469 103 28 18 31 \n", + "1 : 22381 2023 412 100 35 23 26 \n", + "2 : 22368 2002 454 98 38 14 26 \n", + "3 : 22274 2091 464 91 35 21 24 \n", + "\n", + "T : 89431 8059 1799 392 136 76 107 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9898e-02 sec\n", + "--- Collate = 1.1900e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.065235e-05 < 1.562500e-03 [59]\n", + "--- Max DT=3.422325e-01 > 1.000000e-01 [70599]\n", + "----------------------------------------------------------------------\n", + " Component | low: 59/100000\n", + " Component | high: 70599/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=81.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00216038 [ 0.39 %]\n", + "Velocity : 0.00551272 [ 1.00 %]\n", + "Force : 0.121258 [ 22.01 %]\n", + "Coefs : 0.0311734 [ 5.66 %]\n", + "Output : 0.00193873 [ 0.35 %]\n", + "Levels : 0.000130809 [ 0.02 %]\n", + "Report : 2.39e-07 [ 0.00 %]\n", + "Balance : 1.35e-07 [ 0.00 %]\n", + "Adjust : 0.388634 [ 70.55 %]\n", + "Total : 0.550872 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22400 1943 483 84 38 26 26 \n", + "1 : 22383 2011 427 93 44 16 26 \n", + "2 : 22374 1996 458 93 34 24 21 \n", + "3 : 22267 2103 451 98 41 17 23 \n", + "\n", + "T : 89424 8053 1819 368 157 83 96 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.8818e-02 sec\n", + "--- Collate = 1.1856e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.814419e-07 < 1.562500e-03 [40]\n", + "--- Max DT=3.424150e-01 > 1.000000e-01 [70587]\n", + "----------------------------------------------------------------------\n", + " Component | low: 40/100000\n", + " Component | high: 70587/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=81.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00218376 [ 0.41 %]\n", + "Velocity : 0.00550684 [ 1.03 %]\n", + "Force : 0.119321 [ 22.42 %]\n", + "Coefs : 0.0315623 [ 5.93 %]\n", + "Output : 0.00195797 [ 0.37 %]\n", + "Levels : 0.000117663 [ 0.02 %]\n", + "Report : 4.48e-07 [ 0.00 %]\n", + "Balance : 1.21e-07 [ 0.00 %]\n", + "Adjust : 0.371451 [ 69.80 %]\n", + "Total : 0.53216 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22386 1969 468 91 33 28 25 \n", + "1 : 22389 2008 424 100 34 26 19 \n", + "2 : 22365 2008 452 97 29 31 18 \n", + "3 : 22269 2095 456 108 39 8 25 \n", + "\n", + "T : 89409 8080 1800 396 135 93 87 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0389e-02 sec\n", + "--- Collate = 1.5532e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.867520e-05 < 1.562500e-03 [37]\n", + "--- Max DT=3.425926e-01 > 1.000000e-01 [70600]\n", + "----------------------------------------------------------------------\n", + " Component | low: 37/100000\n", + " Component | high: 70600/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=81.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00223527 [ 0.41 %]\n", + "Velocity : 0.00547469 [ 1.01 %]\n", + "Force : 0.118224 [ 21.85 %]\n", + "Coefs : 0.0306592 [ 5.67 %]\n", + "Output : 0.0020247 [ 0.37 %]\n", + "Levels : 0.000124198 [ 0.02 %]\n", + "Report : 3.23e-07 [ 0.00 %]\n", + "Balance : 1.88e-07 [ 0.00 %]\n", + "Adjust : 0.382241 [ 70.65 %]\n", + "Total : 0.541042 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22374 1988 466 88 34 27 23 \n", + "1 : 22381 2010 429 101 32 31 16 \n", + "2 : 22372 1991 464 99 23 31 20 \n", + "3 : 22263 2091 467 105 38 22 14 \n", + "\n", + "T : 89390 8080 1826 393 127 111 73 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0417e-02 sec\n", + "--- Collate = 1.4928e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.541053e-06 < 1.562500e-03 [45]\n", + "--- Max DT=3.427652e-01 > 1.000000e-01 [70619]\n", + "----------------------------------------------------------------------\n", + " Component | low: 45/100000\n", + " Component | high: 70619/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=81.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00215432 [ 0.38 %]\n", + "Velocity : 0.00526254 [ 0.93 %]\n", + "Force : 0.125252 [ 22.25 %]\n", + "Coefs : 0.0322858 [ 5.74 %]\n", + "Output : 0.0020517 [ 0.36 %]\n", + "Levels : 0.000134241 [ 0.02 %]\n", + "Report : 3.75e-07 [ 0.00 %]\n", + "Balance : 1.37e-07 [ 0.00 %]\n", + "Adjust : 0.395641 [ 70.29 %]\n", + "Total : 0.562844 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22379 1983 465 91 34 23 25 \n", + "1 : 22370 2024 429 101 36 18 22 \n", + "2 : 22350 2018 453 105 29 14 31 \n", + "3 : 22268 2082 474 105 35 20 16 \n", + "\n", + "T : 89367 8107 1821 402 134 75 94 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.7793e-02 sec\n", + "--- Collate = 1.6346e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.860320e-06 < 1.562500e-03 [52]\n", + "--- Max DT=3.429331e-01 > 1.000000e-01 [70622]\n", + "----------------------------------------------------------------------\n", + " Component | low: 52/100000\n", + " Component | high: 70622/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=81.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00211766 [ 0.38 %]\n", + "Velocity : 0.00551557 [ 1.00 %]\n", + "Force : 0.123176 [ 22.24 %]\n", + "Coefs : 0.0317269 [ 5.73 %]\n", + "Output : 0.0019205 [ 0.35 %]\n", + "Levels : 0.000126064 [ 0.02 %]\n", + "Report : 4.01e-07 [ 0.00 %]\n", + "Balance : 5.78e-07 [ 0.00 %]\n", + "Adjust : 0.389084 [ 70.27 %]\n", + "Total : 0.553731 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22370 1998 459 85 37 29 22 \n", + "1 : 22369 2017 439 96 38 16 25 \n", + "2 : 22337 2030 448 109 35 14 27 \n", + "3 : 22269 2075 484 102 35 19 16 \n", + "\n", + "T : 89345 8120 1830 392 145 78 90 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0412e-02 sec\n", + "--- Collate = 1.5306e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.903640e-06 < 1.562500e-03 [43]\n", + "--- Max DT=3.433686e-01 > 1.000000e-01 [70616]\n", + "----------------------------------------------------------------------\n", + " Component | low: 43/100000\n", + " Component | high: 70616/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=81.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00211284 [ 0.38 %]\n", + "Velocity : 0.00622223 [ 1.12 %]\n", + "Force : 0.122405 [ 22.11 %]\n", + "Coefs : 0.0304354 [ 5.50 %]\n", + "Output : 0.00192495 [ 0.35 %]\n", + "Levels : 0.000120634 [ 0.02 %]\n", + "Report : 2.63e-07 [ 0.00 %]\n", + "Balance : 2.28e-07 [ 0.00 %]\n", + "Adjust : 0.390423 [ 70.51 %]\n", + "Total : 0.553705 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22366 2000 459 95 28 28 24 \n", + "1 : 22374 2006 438 105 27 23 27 \n", + "2 : 22349 2017 441 113 38 19 23 \n", + "3 : 22275 2070 482 94 41 16 22 \n", + "\n", + "T : 89364 8093 1820 407 134 86 96 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0279e-02 sec\n", + "--- Collate = 1.4204e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.696314e-06 < 1.562500e-03 [45]\n", + "--- Max DT=3.441623e-01 > 1.000000e-01 [70620]\n", + "----------------------------------------------------------------------\n", + " Component | low: 45/100000\n", + " Component | high: 70620/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=82] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00204434 [ 0.30 %]\n", + "Velocity : 0.00528276 [ 0.78 %]\n", + "Force : 0.123227 [ 18.28 %]\n", + "Coefs : 0.0329152 [ 4.88 %]\n", + "Output : 0.11886 [ 17.63 %]\n", + "Levels : 0.000151096 [ 0.02 %]\n", + "Report : 1.214e-06 [ 0.00 %]\n", + "Balance : 2.31e-07 [ 0.00 %]\n", + "Adjust : 0.391588 [ 58.09 %]\n", + "Total : 0.674129 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22367 2004 447 99 36 22 25 \n", + "1 : 22368 2010 437 105 30 23 27 \n", + "2 : 22340 2026 443 112 36 29 14 \n", + "3 : 22275 2071 479 103 27 22 23 \n", + "\n", + "T : 89350 8111 1806 419 129 96 89 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9218e-02 sec\n", + "--- Collate = 1.1263e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.054701e-05 < 1.562500e-03 [44]\n", + "--- Max DT=3.449461e-01 > 1.000000e-01 [70614]\n", + "----------------------------------------------------------------------\n", + " Component | low: 44/100000\n", + " Component | high: 70614/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=82.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00212526 [ 0.39 %]\n", + "Velocity : 0.00561419 [ 1.04 %]\n", + "Force : 0.116449 [ 21.54 %]\n", + "Coefs : 0.0392206 [ 7.26 %]\n", + "Output : 0.0017952 [ 0.33 %]\n", + "Levels : 0.000109674 [ 0.02 %]\n", + "Report : 1.77e-07 [ 0.00 %]\n", + "Balance : 7.9e-08 [ 0.00 %]\n", + "Adjust : 0.375196 [ 69.41 %]\n", + "Total : 0.540572 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22374 1988 459 101 37 15 26 \n", + "1 : 22359 2020 431 106 34 24 26 \n", + "2 : 22320 2054 436 115 34 22 19 \n", + "3 : 22283 2068 470 106 26 23 24 \n", + "\n", + "T : 89336 8130 1796 428 131 84 95 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0132e-02 sec\n", + "--- Collate = 1.0957e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.820989e-07 < 1.562500e-03 [47]\n", + "--- Max DT=3.457193e-01 > 1.000000e-01 [70615]\n", + "----------------------------------------------------------------------\n", + " Component | low: 47/100000\n", + " Component | high: 70615/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=82.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00173523 [ 0.32 %]\n", + "Velocity : 0.00468003 [ 0.87 %]\n", + "Force : 0.118341 [ 21.99 %]\n", + "Coefs : 0.0316632 [ 5.88 %]\n", + "Output : 0.00188824 [ 0.35 %]\n", + "Levels : 9.2263e-05 [ 0.02 %]\n", + "Report : 1.72e-07 [ 0.00 %]\n", + "Balance : 9.8e-08 [ 0.00 %]\n", + "Adjust : 0.379651 [ 70.55 %]\n", + "Total : 0.538113 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22358 1998 464 96 40 26 18 \n", + "1 : 22365 2017 429 112 26 29 22 \n", + "2 : 22313 2050 438 118 33 25 23 \n", + "3 : 22271 2076 474 106 28 17 28 \n", + "\n", + "T : 89307 8141 1805 432 127 97 91 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9511e-02 sec\n", + "--- Collate = 1.1427e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.219177e-06 < 1.562500e-03 [46]\n", + "--- Max DT=3.464832e-01 > 1.000000e-01 [70618]\n", + "----------------------------------------------------------------------\n", + " Component | low: 46/100000\n", + " Component | high: 70618/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=82.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00171659 [ 0.32 %]\n", + "Velocity : 0.00456033 [ 0.85 %]\n", + "Force : 0.11791 [ 22.07 %]\n", + "Coefs : 0.0322789 [ 6.04 %]\n", + "Output : 0.00178024 [ 0.33 %]\n", + "Levels : 9.0027e-05 [ 0.02 %]\n", + "Report : 1.85e-07 [ 0.00 %]\n", + "Balance : 1.03e-07 [ 0.00 %]\n", + "Adjust : 0.375969 [ 70.36 %]\n", + "Total : 0.534365 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22362 1996 458 100 43 23 18 \n", + "1 : 22368 2011 432 106 40 21 22 \n", + "2 : 22300 2060 433 122 35 19 31 \n", + "3 : 22268 2066 484 102 37 20 23 \n", + "\n", + "T : 89298 8133 1807 430 155 83 94 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9336e-02 sec\n", + "--- Collate = 1.3717e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.285357e-06 < 1.562500e-03 [48]\n", + "--- Max DT=3.472371e-01 > 1.000000e-01 [70613]\n", + "----------------------------------------------------------------------\n", + " Component | low: 48/100000\n", + " Component | high: 70613/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=82.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00179567 [ 0.34 %]\n", + "Velocity : 0.00504799 [ 0.94 %]\n", + "Force : 0.118356 [ 22.09 %]\n", + "Coefs : 0.0324186 [ 6.05 %]\n", + "Output : 0.00177863 [ 0.33 %]\n", + "Levels : 9.3221e-05 [ 0.02 %]\n", + "Report : 1.67e-07 [ 0.00 %]\n", + "Balance : 1.19e-07 [ 0.00 %]\n", + "Adjust : 0.376309 [ 70.23 %]\n", + "Total : 0.53586 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22360 1999 453 109 38 23 18 \n", + "1 : 22376 2000 441 101 40 22 20 \n", + "2 : 22296 2067 429 116 35 23 34 \n", + "3 : 22266 2067 479 107 33 24 24 \n", + "\n", + "T : 89298 8133 1802 433 146 92 96 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.8984e-02 sec\n", + "--- Collate = 1.1717e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.585808e-05 < 1.562500e-03 [45]\n", + "--- Max DT=3.479814e-01 > 1.000000e-01 [70612]\n", + "----------------------------------------------------------------------\n", + " Component | low: 45/100000\n", + " Component | high: 70612/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=82.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00215476 [ 0.40 %]\n", + "Velocity : 0.00494817 [ 0.92 %]\n", + "Force : 0.119872 [ 22.34 %]\n", + "Coefs : 0.0316095 [ 5.89 %]\n", + "Output : 0.00184955 [ 0.34 %]\n", + "Levels : 9.475e-05 [ 0.02 %]\n", + "Report : 1.41e-07 [ 0.00 %]\n", + "Balance : 8.1e-08 [ 0.00 %]\n", + "Adjust : 0.375983 [ 70.07 %]\n", + "Total : 0.536578 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22357 2000 461 108 34 15 25 \n", + "1 : 22380 1994 444 104 36 19 23 \n", + "2 : 22284 2071 440 110 36 33 26 \n", + "3 : 22264 2070 476 102 45 19 24 \n", + "\n", + "T : 89285 8135 1821 424 151 86 98 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.8973e-02 sec\n", + "--- Collate = 1.0640e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.403446e-05 < 1.562500e-03 [48]\n", + "--- Max DT=3.487161e-01 > 1.000000e-01 [70623]\n", + "----------------------------------------------------------------------\n", + " Component | low: 48/100000\n", + " Component | high: 70623/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=82.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00185296 [ 0.34 %]\n", + "Velocity : 0.00501116 [ 0.93 %]\n", + "Force : 0.119342 [ 22.20 %]\n", + "Coefs : 0.032006 [ 5.95 %]\n", + "Output : 0.00189689 [ 0.35 %]\n", + "Levels : 0.000141474 [ 0.03 %]\n", + "Report : 1.35e-07 [ 0.00 %]\n", + "Balance : 1.2e-07 [ 0.00 %]\n", + "Adjust : 0.377348 [ 70.18 %]\n", + "Total : 0.537667 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22354 1992 471 108 32 18 25 \n", + "1 : 22367 2002 453 101 33 22 22 \n", + "2 : 22281 2067 453 102 43 18 36 \n", + "3 : 22261 2072 473 111 39 20 24 \n", + "\n", + "T : 89263 8133 1850 422 147 78 107 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0712e-02 sec\n", + "--- Collate = 1.0975e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.528479e-05 < 1.562500e-03 [53]\n", + "--- Max DT=3.494415e-01 > 1.000000e-01 [70622]\n", + "----------------------------------------------------------------------\n", + " Component | low: 53/100000\n", + " Component | high: 70622/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=82.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00175843 [ 0.33 %]\n", + "Velocity : 0.00479501 [ 0.89 %]\n", + "Force : 0.117091 [ 21.78 %]\n", + "Coefs : 0.0313497 [ 5.83 %]\n", + "Output : 0.00183133 [ 0.34 %]\n", + "Levels : 0.000104665 [ 0.02 %]\n", + "Report : 1.95e-07 [ 0.00 %]\n", + "Balance : 9.4e-08 [ 0.00 %]\n", + "Adjust : 0.380506 [ 70.79 %]\n", + "Total : 0.537494 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22348 1996 471 110 32 21 22 \n", + "1 : 22366 2004 451 104 31 20 24 \n", + "2 : 22280 2074 451 92 45 25 33 \n", + "3 : 22264 2071 469 113 41 19 23 \n", + "\n", + "T : 89258 8145 1842 419 149 85 102 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.7799e-02 sec\n", + "--- Collate = 1.4187e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.772963e-05 < 1.562500e-03 [46]\n", + "--- Max DT=3.501577e-01 > 1.000000e-01 [70645]\n", + "----------------------------------------------------------------------\n", + " Component | low: 46/100000\n", + " Component | high: 70645/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=82.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00178 [ 0.32 %]\n", + "Velocity : 0.00496933 [ 0.90 %]\n", + "Force : 0.124051 [ 22.43 %]\n", + "Coefs : 0.032054 [ 5.80 %]\n", + "Output : 0.00186869 [ 0.34 %]\n", + "Levels : 0.000117947 [ 0.02 %]\n", + "Report : 2.06e-07 [ 0.00 %]\n", + "Balance : 1.2e-07 [ 0.00 %]\n", + "Adjust : 0.38809 [ 70.18 %]\n", + "Total : 0.552992 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22338 1996 477 109 40 24 16 \n", + "1 : 22372 2002 451 97 29 27 22 \n", + "2 : 22281 2068 447 102 44 25 33 \n", + "3 : 22257 2076 470 110 43 23 21 \n", + "\n", + "T : 89248 8142 1845 418 156 99 92 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0210e-02 sec\n", + "--- Collate = 1.2038e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.285901e-06 < 1.562500e-03 [41]\n", + "--- Max DT=3.508635e-01 > 1.000000e-01 [70635]\n", + "----------------------------------------------------------------------\n", + " Component | low: 41/100000\n", + " Component | high: 70635/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=82.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00226648 [ 0.42 %]\n", + "Velocity : 0.00530604 [ 0.99 %]\n", + "Force : 0.117527 [ 21.93 %]\n", + "Coefs : 0.0293252 [ 5.47 %]\n", + "Output : 0.0017648 [ 0.33 %]\n", + "Levels : 9.2465e-05 [ 0.02 %]\n", + "Report : 1.59e-07 [ 0.00 %]\n", + "Balance : 1.04e-07 [ 0.00 %]\n", + "Adjust : 0.379668 [ 70.83 %]\n", + "Total : 0.536005 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22336 1987 493 105 43 18 18 \n", + "1 : 22362 2008 453 92 37 23 25 \n", + "2 : 22279 2067 448 111 37 29 29 \n", + "3 : 22244 2090 471 105 44 26 20 \n", + "\n", + "T : 89221 8152 1865 413 161 96 92 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0052e-02 sec\n", + "--- Collate = 1.2342e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.303889e-06 < 1.562500e-03 [53]\n", + "--- Max DT=3.515585e-01 > 1.000000e-01 [70631]\n", + "----------------------------------------------------------------------\n", + " Component | low: 53/100000\n", + " Component | high: 70631/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=83] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0017724 [ 0.27 %]\n", + "Velocity : 0.0049541 [ 0.75 %]\n", + "Force : 0.117156 [ 17.66 %]\n", + "Coefs : 0.0320846 [ 4.84 %]\n", + "Output : 0.127298 [ 19.19 %]\n", + "Levels : 0.000109442 [ 0.02 %]\n", + "Report : 1.98e-07 [ 0.00 %]\n", + "Balance : 1.73e-07 [ 0.00 %]\n", + "Adjust : 0.379961 [ 57.28 %]\n", + "Total : 0.663394 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22322 2012 479 113 37 21 16 \n", + "1 : 22350 2022 447 94 42 18 27 \n", + "2 : 22276 2060 456 111 40 26 31 \n", + "3 : 22234 2096 483 97 38 26 26 \n", + "\n", + "T : 89182 8190 1865 415 157 91 100 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0003e-02 sec\n", + "--- Collate = 1.2832e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.572586e-05 < 1.562500e-03 [50]\n", + "--- Max DT=3.522436e-01 > 1.000000e-01 [70633]\n", + "----------------------------------------------------------------------\n", + " Component | low: 50/100000\n", + " Component | high: 70633/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=83.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00173315 [ 0.32 %]\n", + "Velocity : 0.00497966 [ 0.93 %]\n", + "Force : 0.11735 [ 21.81 %]\n", + "Coefs : 0.0327955 [ 6.09 %]\n", + "Output : 0.00189763 [ 0.35 %]\n", + "Levels : 0.000103561 [ 0.02 %]\n", + "Report : 2.55e-07 [ 0.00 %]\n", + "Balance : 1e-07 [ 0.00 %]\n", + "Adjust : 0.379204 [ 70.47 %]\n", + "Total : 0.538122 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22318 2015 479 110 37 24 17 \n", + "1 : 22361 2004 450 100 43 18 24 \n", + "2 : 22279 2061 448 106 48 26 32 \n", + "3 : 22240 2090 482 101 36 23 28 \n", + "\n", + "T : 89198 8170 1859 417 164 91 101 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0026e-02 sec\n", + "--- Collate = 1.2472e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.844345e-06 < 1.562500e-03 [42]\n", + "--- Max DT=3.529193e-01 > 1.000000e-01 [70640]\n", + "----------------------------------------------------------------------\n", + " Component | low: 42/100000\n", + " Component | high: 70640/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=83.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00189665 [ 0.35 %]\n", + "Velocity : 0.00509953 [ 0.94 %]\n", + "Force : 0.118748 [ 22.00 %]\n", + "Coefs : 0.032074 [ 5.94 %]\n", + "Output : 0.00181583 [ 0.34 %]\n", + "Levels : 0.000115946 [ 0.02 %]\n", + "Report : 2.48e-07 [ 0.00 %]\n", + "Balance : 1.04e-07 [ 0.00 %]\n", + "Adjust : 0.37996 [ 70.39 %]\n", + "Total : 0.539765 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22330 2009 473 111 32 22 23 \n", + "1 : 22344 2019 451 106 35 27 18 \n", + "2 : 22272 2063 455 102 50 29 29 \n", + "3 : 22247 2089 470 114 24 22 34 \n", + "\n", + "T : 89193 8180 1849 433 141 100 104 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9820e-02 sec\n", + "--- Collate = 1.4402e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.206027e-06 < 1.562500e-03 [52]\n", + "--- Max DT=3.535863e-01 > 1.000000e-01 [70649]\n", + "----------------------------------------------------------------------\n", + " Component | low: 52/100000\n", + " Component | high: 70649/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=83.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00201346 [ 0.37 %]\n", + "Velocity : 0.0054895 [ 1.01 %]\n", + "Force : 0.118708 [ 21.82 %]\n", + "Coefs : 0.0320808 [ 5.90 %]\n", + "Output : 0.00191125 [ 0.35 %]\n", + "Levels : 0.000120916 [ 0.02 %]\n", + "Report : 2.57e-07 [ 0.00 %]\n", + "Balance : 1.66e-07 [ 0.00 %]\n", + "Adjust : 0.383756 [ 70.53 %]\n", + "Total : 0.544141 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22331 2015 474 107 24 23 26 \n", + "1 : 22330 2026 457 106 43 20 18 \n", + "2 : 22269 2060 462 103 50 30 26 \n", + "3 : 22244 2088 474 115 30 20 29 \n", + "\n", + "T : 89174 8189 1867 431 147 93 99 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9915e-02 sec\n", + "--- Collate = 1.4252e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.617667e-06 < 1.562500e-03 [47]\n", + "--- Max DT=3.542443e-01 > 1.000000e-01 [70661]\n", + "----------------------------------------------------------------------\n", + " Component | low: 47/100000\n", + " Component | high: 70661/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=83.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00211086 [ 0.38 %]\n", + "Velocity : 0.00519154 [ 0.94 %]\n", + "Force : 0.12119 [ 22.03 %]\n", + "Coefs : 0.0322506 [ 5.86 %]\n", + "Output : 0.00209017 [ 0.38 %]\n", + "Levels : 0.000112496 [ 0.02 %]\n", + "Report : 2.48e-07 [ 0.00 %]\n", + "Balance : 1.61e-07 [ 0.00 %]\n", + "Adjust : 0.387152 [ 70.37 %]\n", + "Total : 0.550158 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22320 2023 475 108 30 17 27 \n", + "1 : 22328 2038 446 102 50 19 17 \n", + "2 : 22267 2054 464 104 52 34 25 \n", + "3 : 22246 2081 483 105 35 22 28 \n", + "\n", + "T : 89161 8196 1868 419 167 92 97 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0122e-02 sec\n", + "--- Collate = 1.4666e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.945585e-06 < 1.562500e-03 [44]\n", + "--- Max DT=3.548936e-01 > 1.000000e-01 [70680]\n", + "----------------------------------------------------------------------\n", + " Component | low: 44/100000\n", + " Component | high: 70680/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=83.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00193693 [ 0.35 %]\n", + "Velocity : 0.00504788 [ 0.92 %]\n", + "Force : 0.120337 [ 21.95 %]\n", + "Coefs : 0.0313896 [ 5.72 %]\n", + "Output : 0.00192211 [ 0.35 %]\n", + "Levels : 0.000133228 [ 0.02 %]\n", + "Report : 3.31e-07 [ 0.00 %]\n", + "Balance : 1.46e-07 [ 0.00 %]\n", + "Adjust : 0.387512 [ 70.67 %]\n", + "Total : 0.548343 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22325 2022 474 101 31 19 28 \n", + "1 : 22326 2035 445 113 39 27 15 \n", + "2 : 22269 2053 457 111 46 34 30 \n", + "3 : 22244 2074 489 107 40 26 20 \n", + "\n", + "T : 89164 8184 1865 432 156 106 93 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9961e-02 sec\n", + "--- Collate = 1.4917e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.720878e-05 < 1.562500e-03 [43]\n", + "--- Max DT=3.555344e-01 > 1.000000e-01 [70684]\n", + "----------------------------------------------------------------------\n", + " Component | low: 43/100000\n", + " Component | high: 70684/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=83.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00212571 [ 0.39 %]\n", + "Velocity : 0.0055599 [ 1.02 %]\n", + "Force : 0.118932 [ 21.77 %]\n", + "Coefs : 0.0311102 [ 5.69 %]\n", + "Output : 0.00189245 [ 0.35 %]\n", + "Levels : 0.000123044 [ 0.02 %]\n", + "Report : 2.63e-07 [ 0.00 %]\n", + "Balance : 1.62e-07 [ 0.00 %]\n", + "Adjust : 0.386501 [ 70.75 %]\n", + "Total : 0.546303 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22324 2028 463 101 35 22 27 \n", + "1 : 22315 2048 441 115 33 22 26 \n", + "2 : 22266 2059 451 122 41 27 34 \n", + "3 : 22248 2061 492 113 37 26 23 \n", + "\n", + "T : 89153 8196 1847 451 146 97 110 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9850e-02 sec\n", + "--- Collate = 1.2018e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.991248e-06 < 1.562500e-03 [55]\n", + "--- Max DT=3.561664e-01 > 1.000000e-01 [70697]\n", + "----------------------------------------------------------------------\n", + " Component | low: 55/100000\n", + " Component | high: 70697/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=83.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00196425 [ 0.37 %]\n", + "Velocity : 0.00498919 [ 0.93 %]\n", + "Force : 0.11658 [ 21.85 %]\n", + "Coefs : 0.0297898 [ 5.58 %]\n", + "Output : 0.0017861 [ 0.33 %]\n", + "Levels : 8.3407e-05 [ 0.02 %]\n", + "Report : 1.73e-07 [ 0.00 %]\n", + "Balance : 1.17e-07 [ 0.00 %]\n", + "Adjust : 0.378392 [ 70.91 %]\n", + "Total : 0.533639 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22311 2041 461 104 37 26 20 \n", + "1 : 22321 2027 455 117 27 26 27 \n", + "2 : 22262 2060 448 125 45 24 36 \n", + "3 : 22246 2070 490 108 40 21 25 \n", + "\n", + "T : 89140 8198 1854 454 149 97 108 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9658e-02 sec\n", + "--- Collate = 1.4171e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.958780e-06 < 1.562500e-03 [56]\n", + "--- Max DT=3.567880e-01 > 1.000000e-01 [70714]\n", + "----------------------------------------------------------------------\n", + " Component | low: 56/100000\n", + " Component | high: 70714/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=83.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00195217 [ 0.36 %]\n", + "Velocity : 0.00515801 [ 0.95 %]\n", + "Force : 0.119138 [ 21.89 %]\n", + "Coefs : 0.0330009 [ 6.06 %]\n", + "Output : 0.00189779 [ 0.35 %]\n", + "Levels : 0.000127455 [ 0.02 %]\n", + "Report : 2.18e-07 [ 0.00 %]\n", + "Balance : 1.52e-07 [ 0.00 %]\n", + "Adjust : 0.382952 [ 70.36 %]\n", + "Total : 0.544287 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22303 2057 452 106 40 23 19 \n", + "1 : 22315 2027 465 103 38 16 36 \n", + "2 : 22260 2063 449 122 50 23 33 \n", + "3 : 22242 2076 490 107 37 19 29 \n", + "\n", + "T : 89120 8223 1856 438 165 81 117 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9725e-02 sec\n", + "--- Collate = 1.2580e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.534633e-06 < 1.562500e-03 [54]\n", + "--- Max DT=3.573993e-01 > 1.000000e-01 [70718]\n", + "----------------------------------------------------------------------\n", + " Component | low: 54/100000\n", + " Component | high: 70718/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=83.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00193698 [ 0.36 %]\n", + "Velocity : 0.00493176 [ 0.91 %]\n", + "Force : 0.117916 [ 21.79 %]\n", + "Coefs : 0.0312911 [ 5.78 %]\n", + "Output : 0.00188578 [ 0.35 %]\n", + "Levels : 9.7554e-05 [ 0.02 %]\n", + "Report : 1.55e-07 [ 0.00 %]\n", + "Balance : 9e-08 [ 0.00 %]\n", + "Adjust : 0.382941 [ 70.78 %]\n", + "Total : 0.541059 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22296 2057 463 103 38 27 16 \n", + "1 : 22311 2028 466 109 34 19 33 \n", + "2 : 22259 2063 448 125 45 33 27 \n", + "3 : 22252 2065 491 105 40 25 22 \n", + "\n", + "T : 89118 8213 1868 442 157 104 98 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9844e-02 sec\n", + "--- Collate = 1.2349e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.858523e-05 < 1.562500e-03 [47]\n", + "--- Max DT=3.579988e-01 > 1.000000e-01 [70721]\n", + "----------------------------------------------------------------------\n", + " Component | low: 47/100000\n", + " Component | high: 70721/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=84] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00183874 [ 0.28 %]\n", + "Velocity : 0.0047797 [ 0.72 %]\n", + "Force : 0.118693 [ 17.82 %]\n", + "Coefs : 0.0322046 [ 4.83 %]\n", + "Output : 0.126532 [ 19.00 %]\n", + "Levels : 9.7329e-05 [ 0.01 %]\n", + "Report : 2.71e-07 [ 0.00 %]\n", + "Balance : 5.16e-07 [ 0.00 %]\n", + "Adjust : 0.381917 [ 57.33 %]\n", + "Total : 0.666123 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22286 2061 462 106 43 16 26 \n", + "1 : 22311 2028 472 101 34 27 27 \n", + "2 : 22243 2076 455 124 46 33 23 \n", + "3 : 22249 2078 474 109 39 26 25 \n", + "\n", + "T : 89089 8243 1863 440 162 102 101 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9406e-02 sec\n", + "--- Collate = 1.1689e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.117826e-06 < 1.562500e-03 [48]\n", + "--- Max DT=3.585869e-01 > 1.000000e-01 [70725]\n", + "----------------------------------------------------------------------\n", + " Component | low: 48/100000\n", + " Component | high: 70725/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=84.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00148822 [ 0.28 %]\n", + "Velocity : 0.00529331 [ 0.98 %]\n", + "Force : 0.11837 [ 21.88 %]\n", + "Coefs : 0.0318005 [ 5.88 %]\n", + "Output : 0.00183181 [ 0.34 %]\n", + "Levels : 0.000112235 [ 0.02 %]\n", + "Report : 3.92e-07 [ 0.00 %]\n", + "Balance : 1.32e-07 [ 0.00 %]\n", + "Adjust : 0.382099 [ 70.62 %]\n", + "Total : 0.541056 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22288 2063 460 107 36 20 26 \n", + "1 : 22307 2028 474 104 36 27 24 \n", + "2 : 22231 2095 455 119 52 23 25 \n", + "3 : 22250 2068 480 106 46 23 27 \n", + "\n", + "T : 89076 8254 1869 436 170 93 102 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0815e-02 sec\n", + "--- Collate = 1.3925e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.216998e-05 < 1.562500e-03 [57]\n", + "--- Max DT=3.591633e-01 > 1.000000e-01 [70731]\n", + "----------------------------------------------------------------------\n", + " Component | low: 57/100000\n", + " Component | high: 70731/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=84.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00178293 [ 0.33 %]\n", + "Velocity : 0.00521824 [ 0.95 %]\n", + "Force : 0.118905 [ 21.72 %]\n", + "Coefs : 0.0317707 [ 5.80 %]\n", + "Output : 0.00188725 [ 0.34 %]\n", + "Levels : 0.000161857 [ 0.03 %]\n", + "Report : 1.98e-07 [ 0.00 %]\n", + "Balance : 3.81e-07 [ 0.00 %]\n", + "Adjust : 0.387778 [ 70.82 %]\n", + "Total : 0.547565 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22286 2068 453 114 30 18 31 \n", + "1 : 22300 2036 466 114 39 23 22 \n", + "2 : 22245 2082 458 119 47 23 26 \n", + "3 : 22251 2068 475 110 36 34 26 \n", + "\n", + "T : 89082 8254 1852 457 152 98 105 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 2.0013e-02 sec\n", + "--- Collate = 1.4851e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.101447e-05 < 1.562500e-03 [59]\n", + "--- Max DT=3.597295e-01 > 1.000000e-01 [70731]\n", + "----------------------------------------------------------------------\n", + " Component | low: 59/100000\n", + " Component | high: 70731/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=84.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00248443 [ 0.45 %]\n", + "Velocity : 0.00578123 [ 1.04 %]\n", + "Force : 0.12305 [ 22.20 %]\n", + "Coefs : 0.0324367 [ 5.85 %]\n", + "Output : 0.00186683 [ 0.34 %]\n", + "Levels : 0.000143072 [ 0.03 %]\n", + "Report : 2.14e-07 [ 0.00 %]\n", + "Balance : 1.55e-07 [ 0.00 %]\n", + "Adjust : 0.388358 [ 70.08 %]\n", + "Total : 0.554181 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22278 2066 468 108 29 24 27 \n", + "1 : 22301 2028 468 118 37 26 22 \n", + "2 : 22233 2099 455 117 41 24 31 \n", + "3 : 22247 2074 479 111 34 25 30 \n", + "\n", + "T : 89059 8267 1870 454 141 99 110 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9374e-02 sec\n", + "--- Collate = 1.1402e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.915287e-07 < 1.562500e-03 [53]\n", + "--- Max DT=3.602868e-01 > 1.000000e-01 [70723]\n", + "----------------------------------------------------------------------\n", + " Component | low: 53/100000\n", + " Component | high: 70723/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=84.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00191114 [ 0.36 %]\n", + "Velocity : 0.00505943 [ 0.95 %]\n", + "Force : 0.117594 [ 22.10 %]\n", + "Coefs : 0.0308622 [ 5.80 %]\n", + "Output : 0.0019366 [ 0.36 %]\n", + "Levels : 8.3311e-05 [ 0.02 %]\n", + "Report : 2.47e-07 [ 0.00 %]\n", + "Balance : 1.06e-07 [ 0.00 %]\n", + "Adjust : 0.374616 [ 70.40 %]\n", + "Total : 0.532118 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22285 2058 478 101 28 19 31 \n", + "1 : 22295 2033 461 123 40 24 24 \n", + "2 : 22237 2088 466 104 41 35 29 \n", + "3 : 22245 2072 481 111 47 17 27 \n", + "\n", + "T : 89062 8251 1886 439 156 95 111 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9123e-02 sec\n", + "--- Collate = 1.0573e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.597516e-06 < 1.562500e-03 [51]\n", + "--- Max DT=3.608363e-01 > 1.000000e-01 [70743]\n", + "----------------------------------------------------------------------\n", + " Component | low: 51/100000\n", + " Component | high: 70743/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=84.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00196631 [ 0.38 %]\n", + "Velocity : 0.00489146 [ 0.94 %]\n", + "Force : 0.114969 [ 22.05 %]\n", + "Coefs : 0.0319918 [ 6.14 %]\n", + "Output : 0.00175008 [ 0.34 %]\n", + "Levels : 8.9985e-05 [ 0.02 %]\n", + "Report : 1.72e-07 [ 0.00 %]\n", + "Balance : 1.12e-07 [ 0.00 %]\n", + "Adjust : 0.365676 [ 70.13 %]\n", + "Total : 0.521391 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22273 2071 473 97 35 24 27 \n", + "1 : 22281 2050 450 125 44 26 24 \n", + "2 : 22232 2079 476 109 42 31 31 \n", + "3 : 22247 2060 486 104 54 25 24 \n", + "\n", + "T : 89033 8260 1885 435 175 106 106 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.8570e-02 sec\n", + "--- Collate = 1.0294e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.881307e-06 < 1.562500e-03 [49]\n", + "--- Max DT=3.613786e-01 > 1.000000e-01 [70744]\n", + "----------------------------------------------------------------------\n", + " Component | low: 49/100000\n", + " Component | high: 70744/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=84.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00205459 [ 0.39 %]\n", + "Velocity : 0.00466821 [ 0.89 %]\n", + "Force : 0.116537 [ 22.25 %]\n", + "Coefs : 0.03141 [ 6.00 %]\n", + "Output : 0.00178068 [ 0.34 %]\n", + "Levels : 0.0001058 [ 0.02 %]\n", + "Report : 1.4e-07 [ 0.00 %]\n", + "Balance : 1.13e-07 [ 0.00 %]\n", + "Adjust : 0.367033 [ 70.09 %]\n", + "Total : 0.523647 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22268 2076 471 100 39 21 25 \n", + "1 : 22284 2044 462 120 43 16 31 \n", + "2 : 22223 2095 469 116 41 21 35 \n", + "3 : 22244 2065 485 108 52 23 23 \n", + "\n", + "T : 89019 8280 1887 444 175 81 114 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.8568e-02 sec\n", + "--- Collate = 1.2969e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.287309e-06 < 1.562500e-03 [59]\n", + "--- Max DT=3.619193e-01 > 1.000000e-01 [70739]\n", + "----------------------------------------------------------------------\n", + " Component | low: 59/100000\n", + " Component | high: 70739/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=84.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00180258 [ 0.34 %]\n", + "Velocity : 0.00487842 [ 0.92 %]\n", + "Force : 0.11663 [ 22.09 %]\n", + "Coefs : 0.0316019 [ 5.98 %]\n", + "Output : 0.0018367 [ 0.35 %]\n", + "Levels : 8.8296e-05 [ 0.02 %]\n", + "Report : 1.55e-07 [ 0.00 %]\n", + "Balance : 1.07e-07 [ 0.00 %]\n", + "Adjust : 0.371173 [ 70.29 %]\n", + "Total : 0.528068 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22276 2065 466 110 39 22 22 \n", + "1 : 22277 2043 476 110 39 29 26 \n", + "2 : 22226 2095 466 115 41 23 34 \n", + "3 : 22232 2078 484 111 39 30 26 \n", + "\n", + "T : 89011 8281 1892 446 158 104 108 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.8102e-02 sec\n", + "--- Collate = 1.1072e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.571117e-05 < 1.562500e-03 [48]\n", + "--- Max DT=3.625035e-01 > 1.000000e-01 [70746]\n", + "----------------------------------------------------------------------\n", + " Component | low: 48/100000\n", + " Component | high: 70746/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=84.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00188151 [ 0.36 %]\n", + "Velocity : 0.00550446 [ 1.05 %]\n", + "Force : 0.115802 [ 22.12 %]\n", + "Coefs : 0.0311203 [ 5.95 %]\n", + "Output : 0.00178139 [ 0.34 %]\n", + "Levels : 0.000106005 [ 0.02 %]\n", + "Report : 1.73e-07 [ 0.00 %]\n", + "Balance : 8.6e-08 [ 0.00 %]\n", + "Adjust : 0.367184 [ 70.15 %]\n", + "Total : 0.523433 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22279 2057 466 118 38 22 20 \n", + "1 : 22270 2045 480 106 48 25 26 \n", + "2 : 22215 2110 461 109 51 23 31 \n", + "3 : 22230 2071 490 112 42 21 34 \n", + "\n", + "T : 88994 8283 1897 445 179 91 111 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0591e-02 sec\n", + "--- Collate = 1.5013e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.323090e-05 < 1.562500e-03 [52]\n", + "--- Max DT=3.630790e-01 > 1.000000e-01 [70757]\n", + "----------------------------------------------------------------------\n", + " Component | low: 52/100000\n", + " Component | high: 70757/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=84.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0018726 [ 0.33 %]\n", + "Velocity : 0.00470105 [ 0.84 %]\n", + "Force : 0.127272 [ 22.75 %]\n", + "Coefs : 0.0314998 [ 5.63 %]\n", + "Output : 0.00187334 [ 0.33 %]\n", + "Levels : 0.00010088 [ 0.02 %]\n", + "Report : 1.84e-07 [ 0.00 %]\n", + "Balance : 9.1e-08 [ 0.00 %]\n", + "Adjust : 0.392126 [ 70.08 %]\n", + "Total : 0.559507 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22268 2062 470 123 35 21 21 \n", + "1 : 22274 2027 485 116 43 28 27 \n", + "2 : 22214 2107 461 115 49 36 18 \n", + "3 : 22219 2085 494 113 31 23 35 \n", + "\n", + "T : 88975 8281 1910 467 158 108 101 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 2.0646e-02 sec\n", + "--- Collate = 1.1646e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.363768e-05 < 1.562500e-03 [51]\n", + "--- Max DT=3.636454e-01 > 1.000000e-01 [70774]\n", + "----------------------------------------------------------------------\n", + " Component | low: 51/100000\n", + " Component | high: 70774/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=85] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00184882 [ 0.27 %]\n", + "Velocity : 0.00478523 [ 0.69 %]\n", + "Force : 0.124871 [ 18.08 %]\n", + "Coefs : 0.0328217 [ 4.75 %]\n", + "Output : 0.135807 [ 19.67 %]\n", + "Levels : 0.000113578 [ 0.02 %]\n", + "Report : 3.24e-07 [ 0.00 %]\n", + "Balance : 2.58e-07 [ 0.00 %]\n", + "Adjust : 0.39027 [ 56.51 %]\n", + "Total : 0.690576 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22269 2057 481 116 36 22 19 \n", + "1 : 22259 2034 485 132 36 26 28 \n", + "2 : 22208 2110 465 115 46 37 19 \n", + "3 : 22223 2079 493 115 34 25 31 \n", + "\n", + "T : 88959 8280 1924 478 152 110 97 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9483e-02 sec\n", + "--- Collate = 1.3887e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.691181e-05 < 1.562500e-03 [47]\n", + "--- Max DT=3.642030e-01 > 1.000000e-01 [70750]\n", + "----------------------------------------------------------------------\n", + " Component | low: 47/100000\n", + " Component | high: 70750/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=85.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00191277 [ 0.35 %]\n", + "Velocity : 0.00595257 [ 1.10 %]\n", + "Force : 0.117778 [ 21.82 %]\n", + "Coefs : 0.0327004 [ 6.06 %]\n", + "Output : 0.00201595 [ 0.37 %]\n", + "Levels : 0.000133572 [ 0.02 %]\n", + "Report : 2.42e-07 [ 0.00 %]\n", + "Balance : 1.33e-07 [ 0.00 %]\n", + "Adjust : 0.379292 [ 70.26 %]\n", + "Total : 0.539849 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22262 2059 490 108 36 21 24 \n", + "1 : 22269 2023 483 134 40 23 28 \n", + "2 : 22214 2104 457 131 47 17 30 \n", + "3 : 22232 2063 495 119 29 35 27 \n", + "\n", + "T : 88977 8249 1925 492 152 96 109 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9199e-02 sec\n", + "--- Collate = 1.4777e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.275075e-05 < 1.562500e-03 [54]\n", + "--- Max DT=3.647523e-01 > 1.000000e-01 [70756]\n", + "----------------------------------------------------------------------\n", + " Component | low: 54/100000\n", + " Component | high: 70756/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=85.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00240193 [ 0.44 %]\n", + "Velocity : 0.00536988 [ 0.99 %]\n", + "Force : 0.120156 [ 22.09 %]\n", + "Coefs : 0.0315765 [ 5.80 %]\n", + "Output : 0.00201591 [ 0.37 %]\n", + "Levels : 0.000121276 [ 0.02 %]\n", + "Report : 2.44e-07 [ 0.00 %]\n", + "Balance : 1.44e-07 [ 0.00 %]\n", + "Adjust : 0.382302 [ 70.28 %]\n", + "Total : 0.544004 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22250 2063 496 112 34 23 22 \n", + "1 : 22255 2033 489 130 41 30 22 \n", + "2 : 22210 2094 474 130 45 15 32 \n", + "3 : 22222 2072 499 118 31 31 27 \n", + "\n", + "T : 88937 8262 1958 490 151 99 103 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9531e-02 sec\n", + "--- Collate = 1.4382e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.520239e-06 < 1.562500e-03 [48]\n", + "--- Max DT=3.652931e-01 > 1.000000e-01 [70754]\n", + "----------------------------------------------------------------------\n", + " Component | low: 48/100000\n", + " Component | high: 70754/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=85.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00228645 [ 0.42 %]\n", + "Velocity : 0.00551894 [ 1.01 %]\n", + "Force : 0.119935 [ 22.01 %]\n", + "Coefs : 0.0325648 [ 5.98 %]\n", + "Output : 0.00203796 [ 0.37 %]\n", + "Levels : 0.000117867 [ 0.02 %]\n", + "Report : 2.37e-07 [ 0.00 %]\n", + "Balance : 1.35e-07 [ 0.00 %]\n", + "Adjust : 0.382386 [ 70.17 %]\n", + "Total : 0.544907 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22248 2068 488 110 40 20 26 \n", + "1 : 22244 2036 498 124 53 20 25 \n", + "2 : 22211 2087 481 139 33 18 31 \n", + "3 : 22219 2069 505 113 42 28 24 \n", + "\n", + "T : 88922 8260 1972 486 168 86 106 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0219e-02 sec\n", + "--- Collate = 1.3273e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.920715e-06 < 1.562500e-03 [47]\n", + "--- Max DT=3.658262e-01 > 1.000000e-01 [70750]\n", + "----------------------------------------------------------------------\n", + " Component | low: 47/100000\n", + " Component | high: 70750/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=85.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00203412 [ 0.37 %]\n", + "Velocity : 0.00512914 [ 0.94 %]\n", + "Force : 0.119746 [ 21.85 %]\n", + "Coefs : 0.0326286 [ 5.95 %]\n", + "Output : 0.00206237 [ 0.38 %]\n", + "Levels : 0.000127434 [ 0.02 %]\n", + "Report : 2.76e-07 [ 0.00 %]\n", + "Balance : 1.28e-07 [ 0.00 %]\n", + "Adjust : 0.38625 [ 70.48 %]\n", + "Total : 0.548038 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22239 2085 480 112 34 20 30 \n", + "1 : 22242 2037 500 130 44 24 23 \n", + "2 : 22216 2087 464 156 28 30 19 \n", + "3 : 22221 2071 503 121 29 33 22 \n", + "\n", + "T : 88918 8280 1947 519 135 107 94 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9388e-02 sec\n", + "--- Collate = 1.4792e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.517964e-06 < 1.562500e-03 [44]\n", + "--- Max DT=3.663518e-01 > 1.000000e-01 [70748]\n", + "----------------------------------------------------------------------\n", + " Component | low: 44/100000\n", + " Component | high: 70748/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=85.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00243399 [ 0.43 %]\n", + "Velocity : 0.0059878 [ 1.07 %]\n", + "Force : 0.123151 [ 21.96 %]\n", + "Coefs : 0.0323553 [ 5.77 %]\n", + "Output : 0.00205541 [ 0.37 %]\n", + "Levels : 0.000114873 [ 0.02 %]\n", + "Report : 2.48e-07 [ 0.00 %]\n", + "Balance : 1.39e-07 [ 0.00 %]\n", + "Adjust : 0.394563 [ 70.37 %]\n", + "Total : 0.560726 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22237 2088 477 109 36 25 28 \n", + "1 : 22244 2028 515 120 47 23 23 \n", + "2 : 22212 2098 461 154 36 20 19 \n", + "3 : 22223 2066 497 134 33 23 24 \n", + "\n", + "T : 88916 8280 1950 517 152 91 94 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9622e-02 sec\n", + "--- Collate = 1.3453e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.275241e-05 < 1.562500e-03 [61]\n", + "--- Max DT=3.668709e-01 > 1.000000e-01 [70768]\n", + "----------------------------------------------------------------------\n", + " Component | low: 61/100000\n", + " Component | high: 70768/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=85.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00236316 [ 0.43 %]\n", + "Velocity : 0.00631154 [ 1.16 %]\n", + "Force : 0.119298 [ 21.86 %]\n", + "Coefs : 0.0313865 [ 5.75 %]\n", + "Output : 0.00202104 [ 0.37 %]\n", + "Levels : 0.000127265 [ 0.02 %]\n", + "Report : 2.55e-07 [ 0.00 %]\n", + "Balance : 1.27e-07 [ 0.00 %]\n", + "Adjust : 0.384196 [ 70.40 %]\n", + "Total : 0.545764 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22244 2086 465 110 45 18 32 \n", + "1 : 22238 2036 510 121 47 23 25 \n", + "2 : 22210 2098 462 150 51 10 19 \n", + "3 : 22224 2063 495 133 42 16 27 \n", + "\n", + "T : 88916 8283 1932 514 185 67 103 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.8640e-02 sec\n", + "--- Collate = 1.3136e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.241525e-05 < 1.562500e-03 [44]\n", + "--- Max DT=3.673838e-01 > 1.000000e-01 [70765]\n", + "----------------------------------------------------------------------\n", + " Component | low: 44/100000\n", + " Component | high: 70765/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=85.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00222212 [ 0.41 %]\n", + "Velocity : 0.0053331 [ 0.99 %]\n", + "Force : 0.120027 [ 22.24 %]\n", + "Coefs : 0.032263 [ 5.98 %]\n", + "Output : 0.00200865 [ 0.37 %]\n", + "Levels : 0.000125205 [ 0.02 %]\n", + "Report : 2.43e-07 [ 0.00 %]\n", + "Balance : 1.29e-07 [ 0.00 %]\n", + "Adjust : 0.377747 [ 69.98 %]\n", + "Total : 0.539792 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22234 2096 458 121 42 24 25 \n", + "1 : 22240 2041 502 119 46 26 26 \n", + "2 : 22210 2096 471 144 48 13 18 \n", + "3 : 22218 2066 496 128 40 26 26 \n", + "\n", + "T : 88902 8299 1927 512 176 89 95 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9824e-02 sec\n", + "--- Collate = 1.2620e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.952658e-05 < 1.562500e-03 [40]\n", + "--- Max DT=3.678908e-01 > 1.000000e-01 [70781]\n", + "----------------------------------------------------------------------\n", + " Component | low: 40/100000\n", + " Component | high: 70781/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=85.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00224412 [ 0.41 %]\n", + "Velocity : 0.00522422 [ 0.95 %]\n", + "Force : 0.120722 [ 22.01 %]\n", + "Coefs : 0.0323529 [ 5.90 %]\n", + "Output : 0.00191785 [ 0.35 %]\n", + "Levels : 0.000100954 [ 0.02 %]\n", + "Report : 2.79e-07 [ 0.00 %]\n", + "Balance : 1.96e-07 [ 0.00 %]\n", + "Adjust : 0.385814 [ 70.35 %]\n", + "Total : 0.548438 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22233 2097 455 128 41 23 23 \n", + "1 : 22232 2042 509 120 44 22 31 \n", + "2 : 22206 2084 479 156 36 24 15 \n", + "3 : 22213 2074 493 131 38 27 24 \n", + "\n", + "T : 88884 8297 1936 535 159 96 93 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9739e-02 sec\n", + "--- Collate = 1.1891e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.356496e-06 < 1.562500e-03 [53]\n", + "--- Max DT=3.683915e-01 > 1.000000e-01 [70789]\n", + "----------------------------------------------------------------------\n", + " Component | low: 53/100000\n", + " Component | high: 70789/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=85.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00196019 [ 0.35 %]\n", + "Velocity : 0.00479264 [ 0.87 %]\n", + "Force : 0.122935 [ 22.20 %]\n", + "Coefs : 0.03303 [ 5.96 %]\n", + "Output : 0.00185326 [ 0.33 %]\n", + "Levels : 8.5127e-05 [ 0.02 %]\n", + "Report : 2.64e-07 [ 0.00 %]\n", + "Balance : 4.4e-07 [ 0.00 %]\n", + "Adjust : 0.389108 [ 70.26 %]\n", + "Total : 0.553821 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22231 2090 469 127 42 17 24 \n", + "1 : 22226 2043 511 123 45 25 27 \n", + "2 : 22197 2089 491 148 32 26 17 \n", + "3 : 22223 2056 504 125 39 28 25 \n", + "\n", + "T : 88877 8278 1975 523 158 96 93 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.7866e-02 sec\n", + "--- Collate = 1.1420e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.469477e-05 < 1.562500e-03 [45]\n", + "--- Max DT=3.688858e-01 > 1.000000e-01 [70791]\n", + "----------------------------------------------------------------------\n", + " Component | low: 45/100000\n", + " Component | high: 70791/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=86] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00180872 [ 0.26 %]\n", + "Velocity : 0.0053736 [ 0.78 %]\n", + "Force : 0.122399 [ 17.81 %]\n", + "Coefs : 0.0332344 [ 4.83 %]\n", + "Output : 0.13949 [ 20.29 %]\n", + "Levels : 0.000105114 [ 0.02 %]\n", + "Report : 2.3e-07 [ 0.00 %]\n", + "Balance : 2.12e-07 [ 0.00 %]\n", + "Adjust : 0.384923 [ 56.00 %]\n", + "Total : 0.68739 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22231 2086 472 123 41 27 20 \n", + "1 : 22218 2056 499 133 35 29 30 \n", + "2 : 22187 2100 493 142 32 21 25 \n", + "3 : 22219 2051 517 120 38 25 30 \n", + "\n", + "T : 88855 8293 1981 518 146 102 105 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9395e-02 sec\n", + "--- Collate = 1.1152e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.114179e-07 < 1.562500e-03 [61]\n", + "--- Max DT=3.693736e-01 > 1.000000e-01 [70777]\n", + "----------------------------------------------------------------------\n", + " Component | low: 61/100000\n", + " Component | high: 70777/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=86.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00214969 [ 0.41 %]\n", + "Velocity : 0.00527153 [ 0.99 %]\n", + "Force : 0.117559 [ 22.16 %]\n", + "Coefs : 0.031373 [ 5.91 %]\n", + "Output : 0.00178239 [ 0.34 %]\n", + "Levels : 0.000104442 [ 0.02 %]\n", + "Report : 1.78e-07 [ 0.00 %]\n", + "Balance : 1e-07 [ 0.00 %]\n", + "Adjust : 0.372287 [ 70.17 %]\n", + "Total : 0.530586 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22245 2073 471 114 45 29 23 \n", + "1 : 22221 2050 496 144 32 26 31 \n", + "2 : 22189 2084 514 128 34 26 25 \n", + "3 : 22214 2049 522 124 34 25 32 \n", + "\n", + "T : 88869 8256 2003 510 145 106 111 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9457e-02 sec\n", + "--- Collate = 1.0876e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.989957e-05 < 1.562500e-03 [71]\n", + "--- Max DT=3.698542e-01 > 1.000000e-01 [70779]\n", + "----------------------------------------------------------------------\n", + " Component | low: 71/100000\n", + " Component | high: 70779/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=86.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00173049 [ 0.32 %]\n", + "Velocity : 0.00492195 [ 0.92 %]\n", + "Force : 0.119656 [ 22.43 %]\n", + "Coefs : 0.032462 [ 6.08 %]\n", + "Output : 0.00181091 [ 0.34 %]\n", + "Levels : 0.000100632 [ 0.02 %]\n", + "Report : 1.93e-07 [ 0.00 %]\n", + "Balance : 1.56e-07 [ 0.00 %]\n", + "Adjust : 0.372815 [ 69.87 %]\n", + "Total : 0.533556 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22251 2068 480 107 44 23 27 \n", + "1 : 22217 2048 505 138 37 22 33 \n", + "2 : 22193 2072 520 126 32 29 28 \n", + "3 : 22197 2077 507 122 42 21 34 \n", + "\n", + "T : 88858 8265 2012 493 155 95 122 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9224e-02 sec\n", + "--- Collate = 1.0434e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.916241e-06 < 1.562500e-03 [58]\n", + "--- Max DT=3.703267e-01 > 1.000000e-01 [70764]\n", + "----------------------------------------------------------------------\n", + " Component | low: 58/100000\n", + " Component | high: 70764/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=86.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00191591 [ 0.36 %]\n", + "Velocity : 0.00508414 [ 0.95 %]\n", + "Force : 0.119965 [ 22.36 %]\n", + "Coefs : 0.0328815 [ 6.13 %]\n", + "Output : 0.00185568 [ 0.35 %]\n", + "Levels : 0.000101429 [ 0.02 %]\n", + "Report : 1.67e-07 [ 0.00 %]\n", + "Balance : 1.32e-07 [ 0.00 %]\n", + "Adjust : 0.374629 [ 69.83 %]\n", + "Total : 0.536493 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22263 2049 485 107 44 18 34 \n", + "1 : 22215 2043 511 136 41 25 29 \n", + "2 : 22182 2083 512 133 32 29 29 \n", + "3 : 22202 2062 516 116 45 26 33 \n", + "\n", + "T : 88862 8237 2024 492 162 98 125 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9020e-02 sec\n", + "--- Collate = 1.0803e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.866557e-06 < 1.562500e-03 [54]\n", + "--- Max DT=3.707910e-01 > 1.000000e-01 [70763]\n", + "----------------------------------------------------------------------\n", + " Component | low: 54/100000\n", + " Component | high: 70763/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=86.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00168558 [ 0.31 %]\n", + "Velocity : 0.00496 [ 0.93 %]\n", + "Force : 0.120018 [ 22.41 %]\n", + "Coefs : 0.0329642 [ 6.15 %]\n", + "Output : 0.00178772 [ 0.33 %]\n", + "Levels : 9.8564e-05 [ 0.02 %]\n", + "Report : 1.57e-07 [ 0.00 %]\n", + "Balance : 7.6e-08 [ 0.00 %]\n", + "Adjust : 0.373997 [ 69.83 %]\n", + "Total : 0.535571 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22264 2038 491 110 31 36 30 \n", + "1 : 22225 2029 513 145 32 31 25 \n", + "2 : 22180 2081 513 133 36 19 38 \n", + "3 : 22202 2061 519 122 36 29 31 \n", + "\n", + "T : 88871 8209 2036 510 135 115 124 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9722e-02 sec\n", + "--- Collate = 1.1169e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.342110e-05 < 1.562500e-03 [65]\n", + "--- Max DT=3.712477e-01 > 1.000000e-01 [70790]\n", + "----------------------------------------------------------------------\n", + " Component | low: 65/100000\n", + " Component | high: 70790/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=86.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00173088 [ 0.32 %]\n", + "Velocity : 0.00506136 [ 0.94 %]\n", + "Force : 0.120273 [ 22.39 %]\n", + "Coefs : 0.0326302 [ 6.07 %]\n", + "Output : 0.00182466 [ 0.34 %]\n", + "Levels : 0.000103945 [ 0.02 %]\n", + "Report : 1.72e-07 [ 0.00 %]\n", + "Balance : 9.5e-08 [ 0.00 %]\n", + "Adjust : 0.375496 [ 69.90 %]\n", + "Total : 0.537179 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22263 2037 492 111 36 28 33 \n", + "1 : 22225 2020 522 142 36 33 22 \n", + "2 : 22188 2084 496 142 31 27 32 \n", + "3 : 22192 2071 517 122 38 30 30 \n", + "\n", + "T : 88868 8212 2027 517 141 118 117 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9587e-02 sec\n", + "--- Collate = 1.1642e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.727996e-05 < 1.562500e-03 [51]\n", + "--- Max DT=3.716975e-01 > 1.000000e-01 [70812]\n", + "----------------------------------------------------------------------\n", + " Component | low: 51/100000\n", + " Component | high: 70812/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=86.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00192705 [ 0.36 %]\n", + "Velocity : 0.00473347 [ 0.87 %]\n", + "Force : 0.12088 [ 22.30 %]\n", + "Coefs : 0.0329843 [ 6.08 %]\n", + "Output : 0.0018104 [ 0.33 %]\n", + "Levels : 9.6449e-05 [ 0.02 %]\n", + "Report : 1.61e-07 [ 0.00 %]\n", + "Balance : 1.1e-07 [ 0.00 %]\n", + "Adjust : 0.379657 [ 70.03 %]\n", + "Total : 0.54215 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22257 2036 499 107 44 20 37 \n", + "1 : 22230 2004 535 150 32 28 21 \n", + "2 : 22182 2093 493 142 36 24 30 \n", + "3 : 22186 2075 518 118 38 32 33 \n", + "\n", + "T : 88855 8208 2045 517 150 104 121 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9699e-02 sec\n", + "--- Collate = 1.2405e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.522168e-05 < 1.562500e-03 [58]\n", + "--- Max DT=3.721404e-01 > 1.000000e-01 [70813]\n", + "----------------------------------------------------------------------\n", + " Component | low: 58/100000\n", + " Component | high: 70813/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=86.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00178848 [ 0.33 %]\n", + "Velocity : 0.00524479 [ 0.97 %]\n", + "Force : 0.121004 [ 22.41 %]\n", + "Coefs : 0.0330379 [ 6.12 %]\n", + "Output : 0.00174899 [ 0.32 %]\n", + "Levels : 0.000100302 [ 0.02 %]\n", + "Report : 1.66e-07 [ 0.00 %]\n", + "Balance : 9.8e-08 [ 0.00 %]\n", + "Adjust : 0.377079 [ 69.82 %]\n", + "Total : 0.540064 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22258 2017 513 123 29 33 27 \n", + "1 : 22233 1997 534 152 36 26 22 \n", + "2 : 22186 2083 498 135 40 33 25 \n", + "3 : 22170 2094 517 113 42 32 32 \n", + "\n", + "T : 88847 8191 2062 523 147 124 106 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 2.0865e-02 sec\n", + "--- Collate = 1.6133e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.773005e-06 < 1.562500e-03 [57]\n", + "--- Max DT=3.725770e-01 > 1.000000e-01 [70852]\n", + "----------------------------------------------------------------------\n", + " Component | low: 57/100000\n", + " Component | high: 70852/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=86.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00246434 [ 0.44 %]\n", + "Velocity : 0.00533469 [ 0.95 %]\n", + "Force : 0.12533 [ 22.21 %]\n", + "Coefs : 0.033284 [ 5.90 %]\n", + "Output : 0.00202678 [ 0.36 %]\n", + "Levels : 0.000146476 [ 0.03 %]\n", + "Report : 5.88e-07 [ 0.00 %]\n", + "Balance : 1.49e-07 [ 0.00 %]\n", + "Adjust : 0.395727 [ 70.12 %]\n", + "Total : 0.564376 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22252 2014 513 124 47 25 25 \n", + "1 : 22243 1982 544 145 40 22 24 \n", + "2 : 22179 2090 491 136 52 27 25 \n", + "3 : 22171 2094 515 117 40 33 30 \n", + "\n", + "T : 88845 8180 2063 522 179 107 104 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 2.0634e-02 sec\n", + "--- Collate = 1.6621e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.812318e-06 < 1.562500e-03 [46]\n", + "--- Max DT=3.730076e-01 > 1.000000e-01 [70865]\n", + "----------------------------------------------------------------------\n", + " Component | low: 46/100000\n", + " Component | high: 70865/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=86.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0020525 [ 0.36 %]\n", + "Velocity : 0.00572912 [ 1.01 %]\n", + "Force : 0.125984 [ 22.26 %]\n", + "Coefs : 0.0335272 [ 5.92 %]\n", + "Output : 0.00205795 [ 0.36 %]\n", + "Levels : 0.000127562 [ 0.02 %]\n", + "Report : 2.09e-07 [ 0.00 %]\n", + "Balance : 1.56e-07 [ 0.00 %]\n", + "Adjust : 0.396456 [ 70.05 %]\n", + "Total : 0.566 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22251 2011 517 116 54 27 24 \n", + "1 : 22229 1987 555 139 40 25 25 \n", + "2 : 22175 2081 499 144 54 23 24 \n", + "3 : 22173 2086 514 123 40 29 35 \n", + "\n", + "T : 88828 8165 2085 522 188 104 108 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9626e-02 sec\n", + "--- Collate = 1.4147e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.106278e-05 < 1.562500e-03 [51]\n", + "--- Max DT=3.734318e-01 > 1.000000e-01 [70853]\n", + "----------------------------------------------------------------------\n", + " Component | low: 51/100000\n", + " Component | high: 70853/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=87] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00225564 [ 0.31 %]\n", + "Velocity : 0.00568647 [ 0.79 %]\n", + "Force : 0.124367 [ 17.30 %]\n", + "Coefs : 0.0332667 [ 4.63 %]\n", + "Output : 0.163461 [ 22.74 %]\n", + "Levels : 0.000144744 [ 0.02 %]\n", + "Report : 8.87e-07 [ 0.00 %]\n", + "Balance : 3.13e-07 [ 0.00 %]\n", + "Adjust : 0.389724 [ 54.21 %]\n", + "Total : 0.718968 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22246 2007 529 119 57 19 23 \n", + "1 : 22243 1959 570 133 44 23 28 \n", + "2 : 22169 2091 492 138 60 24 26 \n", + "3 : 22168 2100 500 121 47 33 31 \n", + "\n", + "T : 88826 8157 2091 511 208 99 108 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0021e-02 sec\n", + "--- Collate = 1.2543e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.632721e-06 < 1.562500e-03 [55]\n", + "--- Max DT=3.738501e-01 > 1.000000e-01 [70855]\n", + "----------------------------------------------------------------------\n", + " Component | low: 55/100000\n", + " Component | high: 70855/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=87.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00202189 [ 0.37 %]\n", + "Velocity : 0.00556192 [ 1.02 %]\n", + "Force : 0.120234 [ 22.05 %]\n", + "Coefs : 0.032739 [ 6.01 %]\n", + "Output : 0.00171112 [ 0.31 %]\n", + "Levels : 0.000105327 [ 0.02 %]\n", + "Report : 1.83e-07 [ 0.00 %]\n", + "Balance : 8.4e-08 [ 0.00 %]\n", + "Adjust : 0.382746 [ 70.21 %]\n", + "Total : 0.545176 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22236 2008 538 118 48 26 26 \n", + "1 : 22254 1940 578 128 49 25 26 \n", + "2 : 22165 2092 493 145 46 34 25 \n", + "3 : 22171 2091 510 122 48 24 34 \n", + "\n", + "T : 88826 8131 2119 513 191 109 111 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 2.0052e-02 sec\n", + "--- Collate = 1.2482e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.211385e-06 < 1.562500e-03 [58]\n", + "--- Max DT=3.742624e-01 > 1.000000e-01 [70860]\n", + "----------------------------------------------------------------------\n", + " Component | low: 58/100000\n", + " Component | high: 70860/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=87.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00182026 [ 0.33 %]\n", + "Velocity : 0.00465266 [ 0.85 %]\n", + "Force : 0.120451 [ 21.96 %]\n", + "Coefs : 0.0333832 [ 6.09 %]\n", + "Output : 0.00184432 [ 0.34 %]\n", + "Levels : 0.000131758 [ 0.02 %]\n", + "Report : 1.93e-07 [ 0.00 %]\n", + "Balance : 1.31e-07 [ 0.00 %]\n", + "Adjust : 0.386168 [ 70.40 %]\n", + "Total : 0.54851 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22231 2016 535 124 36 34 24 \n", + "1 : 22238 1949 585 127 50 24 27 \n", + "2 : 22171 2088 497 134 43 33 34 \n", + "3 : 22156 2104 511 124 47 30 28 \n", + "\n", + "T : 88796 8157 2128 509 176 121 113 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9618e-02 sec\n", + "--- Collate = 1.1446e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.048839e-06 < 1.562500e-03 [52]\n", + "--- Max DT=3.746682e-01 > 1.000000e-01 [70872]\n", + "----------------------------------------------------------------------\n", + " Component | low: 52/100000\n", + " Component | high: 70872/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=87.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00182129 [ 0.33 %]\n", + "Velocity : 0.00505525 [ 0.92 %]\n", + "Force : 0.123075 [ 22.38 %]\n", + "Coefs : 0.0318115 [ 5.78 %]\n", + "Output : 0.00173613 [ 0.32 %]\n", + "Levels : 0.000113264 [ 0.02 %]\n", + "Report : 1.77e-07 [ 0.00 %]\n", + "Balance : 1.28e-07 [ 0.00 %]\n", + "Adjust : 0.386318 [ 70.24 %]\n", + "Total : 0.549989 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22240 2003 535 125 42 21 34 \n", + "1 : 22233 1967 571 132 43 29 25 \n", + "2 : 22169 2091 498 128 54 21 39 \n", + "3 : 22150 2108 509 131 46 31 25 \n", + "\n", + "T : 88792 8169 2113 516 185 102 123 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 2.0186e-02 sec\n", + "--- Collate = 1.0829e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.285960e-06 < 1.562500e-03 [70]\n", + "--- Max DT=3.750672e-01 > 1.000000e-01 [70887]\n", + "----------------------------------------------------------------------\n", + " Component | low: 70/100000\n", + " Component | high: 70887/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=87.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00195905 [ 0.36 %]\n", + "Velocity : 0.00518525 [ 0.95 %]\n", + "Force : 0.122604 [ 22.40 %]\n", + "Coefs : 0.0325283 [ 5.94 %]\n", + "Output : 0.00182519 [ 0.33 %]\n", + "Levels : 0.000109498 [ 0.02 %]\n", + "Report : 1.76e-07 [ 0.00 %]\n", + "Balance : 8.1e-08 [ 0.00 %]\n", + "Adjust : 0.382957 [ 69.98 %]\n", + "Total : 0.547226 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22238 1991 546 135 38 18 34 \n", + "1 : 22228 1969 578 128 40 32 25 \n", + "2 : 22165 2087 507 126 51 24 40 \n", + "3 : 22150 2105 518 134 35 29 29 \n", + "\n", + "T : 88781 8152 2149 523 164 103 128 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9828e-02 sec\n", + "--- Collate = 1.2523e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.223700e-05 < 1.562500e-03 [56]\n", + "--- Max DT=3.754587e-01 > 1.000000e-01 [70882]\n", + "----------------------------------------------------------------------\n", + " Component | low: 56/100000\n", + " Component | high: 70882/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=87.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0019427 [ 0.36 %]\n", + "Velocity : 0.00497637 [ 0.92 %]\n", + "Force : 0.121274 [ 22.36 %]\n", + "Coefs : 0.0323804 [ 5.97 %]\n", + "Output : 0.00187731 [ 0.35 %]\n", + "Levels : 0.000117351 [ 0.02 %]\n", + "Report : 1.75e-07 [ 0.00 %]\n", + "Balance : 9.7e-08 [ 0.00 %]\n", + "Adjust : 0.37978 [ 70.02 %]\n", + "Total : 0.542414 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22224 2006 538 140 44 19 29 \n", + "1 : 22218 1975 583 126 44 28 26 \n", + "2 : 22169 2070 517 128 51 31 34 \n", + "3 : 22149 2093 524 132 44 31 27 \n", + "\n", + "T : 88760 8144 2162 526 183 109 116 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 2.0024e-02 sec\n", + "--- Collate = 1.2939e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.369421e-05 < 1.562500e-03 [50]\n", + "--- Max DT=3.758430e-01 > 1.000000e-01 [70874]\n", + "----------------------------------------------------------------------\n", + " Component | low: 50/100000\n", + " Component | high: 70874/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=87.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00194608 [ 0.36 %]\n", + "Velocity : 0.00494135 [ 0.91 %]\n", + "Force : 0.119613 [ 21.96 %]\n", + "Coefs : 0.032666 [ 6.00 %]\n", + "Output : 0.00196652 [ 0.36 %]\n", + "Levels : 9.3649e-05 [ 0.02 %]\n", + "Report : 1.8e-07 [ 0.00 %]\n", + "Balance : 1.2e-07 [ 0.00 %]\n", + "Adjust : 0.383374 [ 70.39 %]\n", + "Total : 0.544658 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22224 2001 536 161 32 24 22 \n", + "1 : 22219 1972 580 135 41 30 23 \n", + "2 : 22179 2052 519 134 51 39 26 \n", + "3 : 22131 2110 527 126 43 36 27 \n", + "\n", + "T : 88753 8135 2162 556 167 129 98 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9591e-02 sec\n", + "--- Collate = 1.3266e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.881795e-06 < 1.562500e-03 [53]\n", + "--- Max DT=3.762204e-01 > 1.000000e-01 [70862]\n", + "----------------------------------------------------------------------\n", + " Component | low: 53/100000\n", + " Component | high: 70862/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=87.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0019218 [ 0.34 %]\n", + "Velocity : 0.00594159 [ 1.05 %]\n", + "Force : 0.12389 [ 21.94 %]\n", + "Coefs : 0.0339094 [ 6.00 %]\n", + "Output : 0.00202254 [ 0.36 %]\n", + "Levels : 0.00011005 [ 0.02 %]\n", + "Report : 1.87e-07 [ 0.00 %]\n", + "Balance : 1.9e-07 [ 0.00 %]\n", + "Adjust : 0.396864 [ 70.28 %]\n", + "Total : 0.564719 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22209 2015 539 157 30 32 18 \n", + "1 : 22221 1973 569 144 40 28 25 \n", + "2 : 22171 2065 521 128 63 23 29 \n", + "3 : 22125 2113 524 129 44 34 31 \n", + "\n", + "T : 88726 8166 2153 558 177 117 103 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 2.0297e-02 sec\n", + "--- Collate = 1.2813e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.213475e-06 < 1.562500e-03 [52]\n", + "--- Max DT=3.765911e-01 > 1.000000e-01 [70878]\n", + "----------------------------------------------------------------------\n", + " Component | low: 52/100000\n", + " Component | high: 70878/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=87.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00188518 [ 0.34 %]\n", + "Velocity : 0.00532294 [ 0.95 %]\n", + "Force : 0.124915 [ 22.22 %]\n", + "Coefs : 0.0332193 [ 5.91 %]\n", + "Output : 0.00204697 [ 0.36 %]\n", + "Levels : 0.000118232 [ 0.02 %]\n", + "Report : 1.95e-07 [ 0.00 %]\n", + "Balance : 1.38e-07 [ 0.00 %]\n", + "Adjust : 0.394679 [ 70.20 %]\n", + "Total : 0.562245 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22206 2017 536 158 35 26 22 \n", + "1 : 22225 1963 569 143 48 24 28 \n", + "2 : 22175 2047 534 138 52 25 29 \n", + "3 : 22124 2117 517 131 41 30 40 \n", + "\n", + "T : 88730 8144 2156 570 176 105 119 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9172e-02 sec\n", + "--- Collate = 1.1515e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.260333e-06 < 1.562500e-03 [59]\n", + "--- Max DT=3.769556e-01 > 1.000000e-01 [70874]\n", + "----------------------------------------------------------------------\n", + " Component | low: 59/100000\n", + " Component | high: 70874/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=87.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00171108 [ 0.31 %]\n", + "Velocity : 0.00553972 [ 0.99 %]\n", + "Force : 0.122844 [ 21.93 %]\n", + "Coefs : 0.0329284 [ 5.88 %]\n", + "Output : 0.00209538 [ 0.37 %]\n", + "Levels : 0.000108346 [ 0.02 %]\n", + "Report : 1.83e-07 [ 0.00 %]\n", + "Balance : 9.3e-08 [ 0.00 %]\n", + "Adjust : 0.3949 [ 70.49 %]\n", + "Total : 0.560184 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22213 2003 549 152 39 18 26 \n", + "1 : 22216 1983 559 147 40 27 28 \n", + "2 : 22180 2031 547 136 60 19 27 \n", + "3 : 22121 2117 520 131 39 28 44 \n", + "\n", + "T : 88730 8134 2175 566 178 92 125 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 2.0817e-02 sec\n", + "--- Collate = 1.1706e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.157126e-07 < 1.562500e-03 [60]\n", + "--- Max DT=3.773137e-01 > 1.000000e-01 [70879]\n", + "----------------------------------------------------------------------\n", + " Component | low: 60/100000\n", + " Component | high: 70879/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=88] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00189405 [ 0.27 %]\n", + "Velocity : 0.00569459 [ 0.81 %]\n", + "Force : 0.125542 [ 17.78 %]\n", + "Coefs : 0.0324836 [ 4.60 %]\n", + "Output : 0.143002 [ 20.25 %]\n", + "Levels : 0.000112299 [ 0.02 %]\n", + "Report : 4.82e-07 [ 0.00 %]\n", + "Balance : 2.98e-07 [ 0.00 %]\n", + "Adjust : 0.397349 [ 56.27 %]\n", + "Total : 0.706138 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22215 1998 552 146 37 29 23 \n", + "1 : 22207 1982 576 141 43 21 30 \n", + "2 : 22163 2052 545 141 40 37 22 \n", + "3 : 22112 2127 514 135 42 28 42 \n", + "\n", + "T : 88697 8159 2187 563 162 115 117 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.8143e-02 sec\n", + "--- Collate = 1.6084e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.172708e-05 < 1.562500e-03 [57]\n", + "--- Max DT=3.776661e-01 > 1.000000e-01 [70902]\n", + "----------------------------------------------------------------------\n", + " Component | low: 57/100000\n", + " Component | high: 70902/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=88.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0020562 [ 0.36 %]\n", + "Velocity : 0.00584911 [ 1.03 %]\n", + "Force : 0.123605 [ 21.84 %]\n", + "Coefs : 0.033212 [ 5.87 %]\n", + "Output : 0.00205395 [ 0.36 %]\n", + "Levels : 0.00027912 [ 0.05 %]\n", + "Report : 2.42e-07 [ 0.00 %]\n", + "Balance : 1.59e-07 [ 0.00 %]\n", + "Adjust : 0.398924 [ 70.48 %]\n", + "Total : 0.566044 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22201 2001 561 146 38 24 29 \n", + "1 : 22202 1989 575 131 48 28 27 \n", + "2 : 22158 2053 542 142 40 34 31 \n", + "3 : 22108 2132 515 135 45 28 37 \n", + "\n", + "T : 88669 8175 2193 554 171 114 124 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9694e-02 sec\n", + "--- Collate = 1.3958e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.338020e-06 < 1.562500e-03 [58]\n", + "--- Max DT=3.780119e-01 > 1.000000e-01 [70919]\n", + "----------------------------------------------------------------------\n", + " Component | low: 58/100000\n", + " Component | high: 70919/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=88.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00275872 [ 0.48 %]\n", + "Velocity : 0.00609337 [ 1.07 %]\n", + "Force : 0.127081 [ 22.29 %]\n", + "Coefs : 0.033689 [ 5.91 %]\n", + "Output : 0.00217977 [ 0.38 %]\n", + "Levels : 0.000147202 [ 0.03 %]\n", + "Report : 1.39e-07 [ 0.00 %]\n", + "Balance : 1.5e-07 [ 0.00 %]\n", + "Adjust : 0.39803 [ 69.82 %]\n", + "Total : 0.570046 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22200 1988 573 142 38 26 33 \n", + "1 : 22195 1998 564 140 43 31 29 \n", + "2 : 22146 2058 540 143 44 29 40 \n", + "3 : 22102 2137 515 139 42 36 29 \n", + "\n", + "T : 88643 8181 2192 564 167 122 131 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 2.0032e-02 sec\n", + "--- Collate = 1.2614e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.595831e-05 < 1.562500e-03 [72]\n", + "--- Max DT=3.783511e-01 > 1.000000e-01 [70916]\n", + "----------------------------------------------------------------------\n", + " Component | low: 72/100000\n", + " Component | high: 70916/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=88.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00221864 [ 0.39 %]\n", + "Velocity : 0.00578905 [ 1.03 %]\n", + "Force : 0.127543 [ 22.60 %]\n", + "Coefs : 0.0343445 [ 6.08 %]\n", + "Output : 0.00212331 [ 0.38 %]\n", + "Levels : 9.9282e-05 [ 0.02 %]\n", + "Report : 2.91e-07 [ 0.00 %]\n", + "Balance : 1.81e-07 [ 0.00 %]\n", + "Adjust : 0.392276 [ 69.49 %]\n", + "Total : 0.564469 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22193 1996 569 141 45 27 29 \n", + "1 : 22183 2008 561 140 43 37 28 \n", + "2 : 22161 2027 557 143 42 29 41 \n", + "3 : 22092 2147 519 136 45 33 28 \n", + "\n", + "T : 88629 8178 2206 560 175 126 126 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 2.0972e-02 sec\n", + "--- Collate = 1.2311e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.839980e-06 < 1.562500e-03 [62]\n", + "--- Max DT=3.786835e-01 > 1.000000e-01 [70908]\n", + "----------------------------------------------------------------------\n", + " Component | low: 62/100000\n", + " Component | high: 70908/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=88.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00199868 [ 0.34 %]\n", + "Velocity : 0.00564874 [ 0.97 %]\n", + "Force : 0.126609 [ 21.66 %]\n", + "Coefs : 0.0347148 [ 5.94 %]\n", + "Output : 0.00207802 [ 0.36 %]\n", + "Levels : 9.9764e-05 [ 0.02 %]\n", + "Report : 2.7e-07 [ 0.00 %]\n", + "Balance : 1.55e-07 [ 0.00 %]\n", + "Adjust : 0.413399 [ 70.71 %]\n", + "Total : 0.58461 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22178 2002 574 145 46 28 27 \n", + "1 : 22184 2008 556 136 50 26 40 \n", + "2 : 22165 2028 554 139 43 34 37 \n", + "3 : 22087 2143 532 133 46 31 28 \n", + "\n", + "T : 88614 8181 2216 553 185 119 132 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 2.0719e-02 sec\n", + "--- Collate = 1.2755e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.349934e-06 < 1.562500e-03 [58]\n", + "--- Max DT=3.790087e-01 > 1.000000e-01 [70919]\n", + "----------------------------------------------------------------------\n", + " Component | low: 58/100000\n", + " Component | high: 70919/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=88.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00216247 [ 0.38 %]\n", + "Velocity : 0.00491557 [ 0.87 %]\n", + "Force : 0.12379 [ 22.01 %]\n", + "Coefs : 0.0333173 [ 5.92 %]\n", + "Output : 0.0020124 [ 0.36 %]\n", + "Levels : 9.3709e-05 [ 0.02 %]\n", + "Report : 2.66e-07 [ 0.00 %]\n", + "Balance : 9e-08 [ 0.00 %]\n", + "Adjust : 0.396073 [ 70.42 %]\n", + "Total : 0.562421 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22170 2012 557 153 55 29 24 \n", + "1 : 22186 2010 544 141 50 30 39 \n", + "2 : 22169 2024 555 140 49 34 29 \n", + "3 : 22086 2140 531 145 43 31 24 \n", + "\n", + "T : 88611 8186 2187 579 197 124 116 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9663e-02 sec\n", + "--- Collate = 1.4956e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.639800e-06 < 1.562500e-03 [53]\n", + "--- Max DT=3.793275e-01 > 1.000000e-01 [70922]\n", + "----------------------------------------------------------------------\n", + " Component | low: 53/100000\n", + " Component | high: 70922/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=88.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00206512 [ 0.38 %]\n", + "Velocity : 0.00527286 [ 0.96 %]\n", + "Force : 0.122256 [ 22.24 %]\n", + "Coefs : 0.0348061 [ 6.33 %]\n", + "Output : 0.00207601 [ 0.38 %]\n", + "Levels : 0.00013491 [ 0.02 %]\n", + "Report : 2.45e-07 [ 0.00 %]\n", + "Balance : 1.52e-07 [ 0.00 %]\n", + "Adjust : 0.383093 [ 69.68 %]\n", + "Total : 0.549767 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22166 2019 546 158 59 24 28 \n", + "1 : 22196 1992 547 143 53 34 35 \n", + "2 : 22166 2025 565 134 51 33 26 \n", + "3 : 22084 2134 540 139 44 30 29 \n", + "\n", + "T : 88612 8170 2198 574 207 121 118 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 2.1149e-02 sec\n", + "--- Collate = 1.1521e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.567545e-06 < 1.562500e-03 [54]\n", + "--- Max DT=3.796402e-01 > 1.000000e-01 [70919]\n", + "----------------------------------------------------------------------\n", + " Component | low: 54/100000\n", + " Component | high: 70919/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=88.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00211251 [ 0.38 %]\n", + "Velocity : 0.00579743 [ 1.04 %]\n", + "Force : 0.122929 [ 21.97 %]\n", + "Coefs : 0.0323166 [ 5.78 %]\n", + "Output : 0.00221822 [ 0.40 %]\n", + "Levels : 0.000113804 [ 0.02 %]\n", + "Report : 1.83e-07 [ 0.00 %]\n", + "Balance : 1.28e-07 [ 0.00 %]\n", + "Adjust : 0.394041 [ 70.42 %]\n", + "Total : 0.559591 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22165 2007 551 165 58 28 26 \n", + "1 : 22183 2007 547 142 51 38 32 \n", + "2 : 22161 2027 566 138 54 23 31 \n", + "3 : 22078 2134 544 134 44 36 30 \n", + "\n", + "T : 88587 8175 2208 579 207 125 119 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9390e-02 sec\n", + "--- Collate = 1.0843e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.028461e-06 < 1.562500e-03 [66]\n", + "--- Max DT=3.799473e-01 > 1.000000e-01 [70928]\n", + "----------------------------------------------------------------------\n", + " Component | low: 66/100000\n", + " Component | high: 70928/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=88.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00181755 [ 0.32 %]\n", + "Velocity : 0.00573403 [ 1.00 %]\n", + "Force : 0.130002 [ 22.60 %]\n", + "Coefs : 0.036435 [ 6.33 %]\n", + "Output : 0.00206016 [ 0.36 %]\n", + "Levels : 9.7285e-05 [ 0.02 %]\n", + "Report : 1.43e-07 [ 0.00 %]\n", + "Balance : 1.42e-07 [ 0.00 %]\n", + "Adjust : 0.39893 [ 69.36 %]\n", + "Total : 0.575138 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22152 2009 557 168 63 21 30 \n", + "1 : 22192 1994 549 151 51 35 28 \n", + "2 : 22163 2021 571 138 46 31 30 \n", + "3 : 22066 2136 551 135 41 38 33 \n", + "\n", + "T : 88573 8160 2228 592 201 125 121 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.7819e-02 sec\n", + "--- Collate = 1.5457e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.054237e-05 < 1.562500e-03 [71]\n", + "--- Max DT=3.802489e-01 > 1.000000e-01 [70932]\n", + "----------------------------------------------------------------------\n", + " Component | low: 71/100000\n", + " Component | high: 70932/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=88.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00200595 [ 0.35 %]\n", + "Velocity : 0.00603719 [ 1.05 %]\n", + "Force : 0.127999 [ 22.33 %]\n", + "Coefs : 0.0353997 [ 6.18 %]\n", + "Output : 0.0022246 [ 0.39 %]\n", + "Levels : 0.00011531 [ 0.02 %]\n", + "Report : 3.3e-07 [ 0.00 %]\n", + "Balance : 1.26e-07 [ 0.00 %]\n", + "Adjust : 0.399361 [ 69.67 %]\n", + "Total : 0.573202 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22150 2018 551 163 57 34 27 \n", + "1 : 22174 2012 541 165 48 33 27 \n", + "2 : 22161 2026 565 143 40 34 31 \n", + "3 : 22076 2122 548 144 42 34 34 \n", + "\n", + "T : 88561 8178 2205 615 187 135 119 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.9419e-02 sec\n", + "--- Collate = 1.4298e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.042635e-05 < 1.562500e-03 [52]\n", + "--- Max DT=3.805455e-01 > 1.000000e-01 [70912]\n", + "----------------------------------------------------------------------\n", + " Component | low: 52/100000\n", + " Component | high: 70912/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=89] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00204753 [ 0.29 %]\n", + "Velocity : 0.00575532 [ 0.82 %]\n", + "Force : 0.118394 [ 16.85 %]\n", + "Coefs : 0.0313856 [ 4.47 %]\n", + "Output : 0.162502 [ 23.13 %]\n", + "Levels : 0.000172787 [ 0.02 %]\n", + "Report : 4.81e-07 [ 0.00 %]\n", + "Balance : 2.59e-07 [ 0.00 %]\n", + "Adjust : 0.382252 [ 54.41 %]\n", + "Total : 0.702575 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22126 2034 551 173 55 28 33 \n", + "1 : 22169 2026 531 159 54 32 29 \n", + "2 : 22152 2024 576 142 46 24 36 \n", + "3 : 22069 2123 547 153 42 29 37 \n", + "\n", + "T : 88516 8207 2205 627 197 113 135 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 2.0477e-02 sec\n", + "--- Collate = 1.6967e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.161403e-05 < 1.562500e-03 [62]\n", + "--- Max DT=3.808368e-01 > 1.000000e-01 [70913]\n", + "----------------------------------------------------------------------\n", + " Component | low: 62/100000\n", + " Component | high: 70913/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=89.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00186179 [ 0.34 %]\n", + "Velocity : 0.00629018 [ 1.13 %]\n", + "Force : 0.125242 [ 22.58 %]\n", + "Coefs : 0.0345855 [ 6.23 %]\n", + "Output : 0.00196632 [ 0.35 %]\n", + "Levels : 0.000125419 [ 0.02 %]\n", + "Report : 2.76e-07 [ 0.00 %]\n", + "Balance : 1.13e-07 [ 0.00 %]\n", + "Adjust : 0.384625 [ 69.33 %]\n", + "Total : 0.554758 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22137 2016 553 169 61 32 32 \n", + "1 : 22155 2027 544 160 54 27 33 \n", + "2 : 22160 2007 582 145 50 19 37 \n", + "3 : 22073 2120 539 155 54 25 34 \n", + "\n", + "T : 88525 8170 2218 629 219 103 136 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 2.0308e-02 sec\n", + "--- Collate = 1.6001e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.134047e-05 < 1.562500e-03 [63]\n", + "--- Max DT=3.811230e-01 > 1.000000e-01 [70933]\n", + "----------------------------------------------------------------------\n", + " Component | low: 63/100000\n", + " Component | high: 70933/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=89.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00222941 [ 0.40 %]\n", + "Velocity : 0.00666533 [ 1.19 %]\n", + "Force : 0.128097 [ 22.79 %]\n", + "Coefs : 0.0344358 [ 6.13 %]\n", + "Output : 0.00198037 [ 0.35 %]\n", + "Levels : 0.000133593 [ 0.02 %]\n", + "Report : 2.57e-07 [ 0.00 %]\n", + "Balance : 1.77e-07 [ 0.00 %]\n", + "Adjust : 0.388467 [ 69.11 %]\n", + "Total : 0.562072 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22131 2018 556 163 63 31 38 \n", + "1 : 22147 2038 539 157 57 30 32 \n", + "2 : 22146 2031 569 139 50 29 36 \n", + "3 : 22054 2133 548 156 49 34 26 \n", + "\n", + "T : 88478 8220 2212 615 219 124 132 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 2.0023e-02 sec\n", + "--- Collate = 1.1738e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.501949e-07 < 1.562500e-03 [62]\n", + "--- Max DT=3.814036e-01 > 1.000000e-01 [70940]\n", + "----------------------------------------------------------------------\n", + " Component | low: 62/100000\n", + " Component | high: 70940/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=89.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00241039 [ 0.41 %]\n", + "Velocity : 0.00589053 [ 1.00 %]\n", + "Force : 0.131079 [ 22.25 %]\n", + "Coefs : 0.0357913 [ 6.08 %]\n", + "Output : 0.00221554 [ 0.38 %]\n", + "Levels : 0.000106762 [ 0.02 %]\n", + "Report : 2.81e-07 [ 0.00 %]\n", + "Balance : 1.32e-07 [ 0.00 %]\n", + "Adjust : 0.411538 [ 69.86 %]\n", + "Total : 0.589103 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22123 2016 562 162 58 40 39 \n", + "1 : 22147 2039 532 159 61 33 29 \n", + "2 : 22147 2021 572 152 40 38 30 \n", + "3 : 22055 2130 546 158 53 36 22 \n", + "\n", + "T : 88472 8206 2212 631 212 147 120 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9273e-02 sec\n", + "--- Collate = 1.1043e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.420111e-06 < 1.562500e-03 [60]\n", + "--- Max DT=3.816785e-01 > 1.000000e-01 [70946]\n", + "----------------------------------------------------------------------\n", + " Component | low: 60/100000\n", + " Component | high: 70946/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=89.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00183115 [ 0.33 %]\n", + "Velocity : 0.00511998 [ 0.93 %]\n", + "Force : 0.124795 [ 22.60 %]\n", + "Coefs : 0.0345862 [ 6.26 %]\n", + "Output : 0.00194168 [ 0.35 %]\n", + "Levels : 9.401e-05 [ 0.02 %]\n", + "Report : 7.1e-08 [ 0.00 %]\n", + "Balance : 4e-08 [ 0.00 %]\n", + "Adjust : 0.383806 [ 69.50 %]\n", + "Total : 0.552237 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22107 2042 550 159 64 36 42 \n", + "1 : 22130 2055 539 157 45 41 33 \n", + "2 : 22147 2011 578 150 52 28 34 \n", + "3 : 22060 2118 546 157 65 27 27 \n", + "\n", + "T : 88444 8226 2213 623 226 132 136 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9730e-02 sec\n", + "--- Collate = 1.2389e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.306868e-05 < 1.562500e-03 [76]\n", + "--- Max DT=3.819475e-01 > 1.000000e-01 [70960]\n", + "----------------------------------------------------------------------\n", + " Component | low: 76/100000\n", + " Component | high: 70960/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=89.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00191634 [ 0.35 %]\n", + "Velocity : 0.00528454 [ 0.97 %]\n", + "Force : 0.121656 [ 22.41 %]\n", + "Coefs : 0.0326068 [ 6.01 %]\n", + "Output : 0.00183636 [ 0.34 %]\n", + "Levels : 9.3575e-05 [ 0.02 %]\n", + "Report : 1.93e-07 [ 0.00 %]\n", + "Balance : 8.6e-08 [ 0.00 %]\n", + "Adjust : 0.37947 [ 69.89 %]\n", + "Total : 0.542924 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22097 2052 555 159 60 37 40 \n", + "1 : 22127 2052 548 152 50 32 39 \n", + "2 : 22143 2014 569 164 52 28 30 \n", + "3 : 22055 2120 549 160 58 31 27 \n", + "\n", + "T : 88422 8238 2221 635 220 128 136 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.8318e-02 sec\n", + "--- Collate = 1.2633e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.019401e-05 < 1.562500e-03 [70]\n", + "--- Max DT=3.822107e-01 > 1.000000e-01 [70975]\n", + "----------------------------------------------------------------------\n", + " Component | low: 70/100000\n", + " Component | high: 70975/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=89.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00184965 [ 0.33 %]\n", + "Velocity : 0.00510937 [ 0.92 %]\n", + "Force : 0.126116 [ 22.63 %]\n", + "Coefs : 0.0358573 [ 6.44 %]\n", + "Output : 0.00173358 [ 0.31 %]\n", + "Levels : 9.2012e-05 [ 0.02 %]\n", + "Report : 1.83e-07 [ 0.00 %]\n", + "Balance : 1.28e-07 [ 0.00 %]\n", + "Adjust : 0.386404 [ 69.34 %]\n", + "Total : 0.55722 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22086 2063 544 163 64 43 37 \n", + "1 : 22129 2052 546 157 43 28 45 \n", + "2 : 22134 2019 561 167 53 30 36 \n", + "3 : 22068 2102 546 168 52 30 34 \n", + "\n", + "T : 88417 8236 2197 655 212 131 152 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 2.0597e-02 sec\n", + "--- Collate = 1.3234e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.512334e-05 < 1.562500e-03 [71]\n", + "--- Max DT=3.824688e-01 > 1.000000e-01 [70993]\n", + "----------------------------------------------------------------------\n", + " Component | low: 71/100000\n", + " Component | high: 70993/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=89.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00198585 [ 0.36 %]\n", + "Velocity : 0.00493092 [ 0.90 %]\n", + "Force : 0.122538 [ 22.33 %]\n", + "Coefs : 0.0336396 [ 6.13 %]\n", + "Output : 0.00168748 [ 0.31 %]\n", + "Levels : 0.000121218 [ 0.02 %]\n", + "Report : 1.78e-07 [ 0.00 %]\n", + "Balance : 1.1e-07 [ 0.00 %]\n", + "Adjust : 0.383851 [ 69.94 %]\n", + "Total : 0.548813 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22092 2051 558 155 74 32 38 \n", + "1 : 22133 2053 536 170 41 27 40 \n", + "2 : 22121 2035 550 166 62 34 32 \n", + "3 : 22072 2100 540 159 57 37 35 \n", + "\n", + "T : 88418 8239 2184 650 234 130 145 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 2.0400e-02 sec\n", + "--- Collate = 1.2703e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.404248e-06 < 1.562500e-03 [69]\n", + "--- Max DT=3.827215e-01 > 1.000000e-01 [71019]\n", + "----------------------------------------------------------------------\n", + " Component | low: 69/100000\n", + " Component | high: 71019/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=89.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00191051 [ 0.35 %]\n", + "Velocity : 0.00512745 [ 0.93 %]\n", + "Force : 0.123674 [ 22.52 %]\n", + "Coefs : 0.0345576 [ 6.29 %]\n", + "Output : 0.00171842 [ 0.31 %]\n", + "Levels : 0.000104691 [ 0.02 %]\n", + "Report : 1.77e-07 [ 0.00 %]\n", + "Balance : 1.41e-07 [ 0.00 %]\n", + "Adjust : 0.382076 [ 69.57 %]\n", + "Total : 0.549233 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22090 2061 561 144 59 47 38 \n", + "1 : 22117 2065 533 176 46 28 35 \n", + "2 : 22116 2038 562 148 64 41 31 \n", + "3 : 22062 2115 527 162 59 38 37 \n", + "\n", + "T : 88385 8279 2183 630 228 154 141 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 2.0079e-02 sec\n", + "--- Collate = 1.2072e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.703545e-06 < 1.562500e-03 [72]\n", + "--- Max DT=3.829688e-01 > 1.000000e-01 [71030]\n", + "----------------------------------------------------------------------\n", + " Component | low: 72/100000\n", + " Component | high: 71030/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=89.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00196615 [ 0.36 %]\n", + "Velocity : 0.00505634 [ 0.92 %]\n", + "Force : 0.1237 [ 22.40 %]\n", + "Coefs : 0.0346517 [ 6.27 %]\n", + "Output : 0.00178144 [ 0.32 %]\n", + "Levels : 0.000493423 [ 0.09 %]\n", + "Report : 3.24e-07 [ 0.00 %]\n", + "Balance : 2.12e-07 [ 0.00 %]\n", + "Adjust : 0.384344 [ 69.58 %]\n", + "Total : 0.552357 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22080 2072 558 142 65 37 46 \n", + "1 : 22105 2077 527 176 50 34 31 \n", + "2 : 22118 2031 563 149 70 33 36 \n", + "3 : 22048 2125 530 162 53 45 37 \n", + "\n", + "T : 88351 8305 2178 629 238 149 150 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 2.1871e-02 sec\n", + "--- Collate = 1.3143e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.042650e-06 < 1.562500e-03 [72]\n", + "--- Max DT=3.832105e-01 > 1.000000e-01 [71044]\n", + "----------------------------------------------------------------------\n", + " Component | low: 72/100000\n", + " Component | high: 71044/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=90] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00185906 [ 0.26 %]\n", + "Velocity : 0.00591365 [ 0.83 %]\n", + "Force : 0.126715 [ 17.84 %]\n", + "Coefs : 0.0358024 [ 5.04 %]\n", + "Output : 0.122295 [ 17.22 %]\n", + "Levels : 0.000111351 [ 0.02 %]\n", + "Report : 2.4e-07 [ 0.00 %]\n", + "Balance : 1.97e-07 [ 0.00 %]\n", + "Adjust : 0.417404 [ 58.78 %]\n", + "Total : 0.710162 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22074 2063 573 138 67 42 43 \n", + "1 : 22094 2088 527 178 53 31 29 \n", + "2 : 22113 2026 568 166 56 35 36 \n", + "3 : 22038 2127 541 160 57 33 44 \n", + "\n", + "T : 88319 8304 2209 642 233 141 152 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9983e-02 sec\n", + "--- Collate = 1.4594e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.795075e-05 < 1.562500e-03 [68]\n", + "--- Max DT=3.834471e-01 > 1.000000e-01 [71035]\n", + "----------------------------------------------------------------------\n", + " Component | low: 68/100000\n", + " Component | high: 71035/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=90.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00209123 [ 0.38 %]\n", + "Velocity : 0.00640516 [ 1.17 %]\n", + "Force : 0.119989 [ 21.89 %]\n", + "Coefs : 0.038794 [ 7.08 %]\n", + "Output : 0.00201936 [ 0.37 %]\n", + "Levels : 0.000129773 [ 0.02 %]\n", + "Report : 1.8e-07 [ 0.00 %]\n", + "Balance : 1.28e-07 [ 0.00 %]\n", + "Adjust : 0.378766 [ 69.09 %]\n", + "Total : 0.548257 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22064 2066 581 143 66 39 41 \n", + "1 : 22079 2102 530 166 59 32 32 \n", + "2 : 22109 2025 552 198 49 29 38 \n", + "3 : 22030 2136 538 159 59 35 43 \n", + "\n", + "T : 88282 8329 2201 666 233 135 154 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9817e-02 sec\n", + "--- Collate = 1.3143e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.454018e-05 < 1.562500e-03 [69]\n", + "--- Max DT=3.836786e-01 > 1.000000e-01 [71022]\n", + "----------------------------------------------------------------------\n", + " Component | low: 69/100000\n", + " Component | high: 71022/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=90.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00234048 [ 0.43 %]\n", + "Velocity : 0.0057301 [ 1.05 %]\n", + "Force : 0.121358 [ 22.23 %]\n", + "Coefs : 0.0342535 [ 6.27 %]\n", + "Output : 0.00202064 [ 0.37 %]\n", + "Levels : 0.000116787 [ 0.02 %]\n", + "Report : 2.4e-07 [ 0.00 %]\n", + "Balance : 1.45e-07 [ 0.00 %]\n", + "Adjust : 0.380089 [ 69.62 %]\n", + "Total : 0.545971 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22052 2073 589 139 65 41 41 \n", + "1 : 22070 2105 537 167 55 31 35 \n", + "2 : 22109 2007 569 187 60 38 30 \n", + "3 : 22028 2134 542 158 59 41 38 \n", + "\n", + "T : 88259 8319 2237 651 239 151 144 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9995e-02 sec\n", + "--- Collate = 1.4613e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.230635e-07 < 1.562500e-03 [63]\n", + "--- Max DT=3.839048e-01 > 1.000000e-01 [71020]\n", + "----------------------------------------------------------------------\n", + " Component | low: 63/100000\n", + " Component | high: 71020/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=90.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00217809 [ 0.40 %]\n", + "Velocity : 0.00517334 [ 0.95 %]\n", + "Force : 0.122934 [ 22.58 %]\n", + "Coefs : 0.0336585 [ 6.18 %]\n", + "Output : 0.00174419 [ 0.32 %]\n", + "Levels : 9.3405e-05 [ 0.02 %]\n", + "Report : 1.99e-07 [ 0.00 %]\n", + "Balance : 1.07e-07 [ 0.00 %]\n", + "Adjust : 0.378609 [ 69.54 %]\n", + "Total : 0.54445 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22046 2076 589 147 63 41 38 \n", + "1 : 22052 2114 545 164 51 40 34 \n", + "2 : 22101 2011 574 182 67 38 27 \n", + "3 : 22018 2153 530 155 69 39 36 \n", + "\n", + "T : 88217 8354 2238 648 250 158 135 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 2.0031e-02 sec\n", + "--- Collate = 1.1070e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.932713e-07 < 1.562500e-03 [64]\n", + "--- Max DT=3.841258e-01 > 1.000000e-01 [71017]\n", + "----------------------------------------------------------------------\n", + " Component | low: 64/100000\n", + " Component | high: 71017/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=90.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00179658 [ 0.33 %]\n", + "Velocity : 0.00534052 [ 0.98 %]\n", + "Force : 0.123716 [ 22.65 %]\n", + "Coefs : 0.0349826 [ 6.40 %]\n", + "Output : 0.00175846 [ 0.32 %]\n", + "Levels : 0.000107156 [ 0.02 %]\n", + "Report : 1.78e-07 [ 0.00 %]\n", + "Balance : 7.6e-08 [ 0.00 %]\n", + "Adjust : 0.378488 [ 69.29 %]\n", + "Total : 0.546248 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22045 2073 591 143 67 38 43 \n", + "1 : 22051 2108 555 152 57 41 36 \n", + "2 : 22101 2007 590 173 65 37 27 \n", + "3 : 22022 2132 538 155 72 41 40 \n", + "\n", + "T : 88219 8320 2274 623 261 157 146 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.8718e-02 sec\n", + "--- Collate = 1.1116e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.973242e-05 < 1.562500e-03 [80]\n", + "--- Max DT=3.843416e-01 > 1.000000e-01 [71015]\n", + "----------------------------------------------------------------------\n", + " Component | low: 80/100000\n", + " Component | high: 71015/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=90.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00174731 [ 0.32 %]\n", + "Velocity : 0.00518033 [ 0.96 %]\n", + "Force : 0.122529 [ 22.64 %]\n", + "Coefs : 0.0341644 [ 6.31 %]\n", + "Output : 0.00178772 [ 0.33 %]\n", + "Levels : 9.1882e-05 [ 0.02 %]\n", + "Report : 1.86e-07 [ 0.00 %]\n", + "Balance : 1.26e-07 [ 0.00 %]\n", + "Adjust : 0.375572 [ 69.41 %]\n", + "Total : 0.541129 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22046 2065 589 168 59 29 44 \n", + "1 : 22043 2113 564 147 54 37 42 \n", + "2 : 22073 2031 593 179 58 35 31 \n", + "3 : 22020 2128 527 166 76 42 41 \n", + "\n", + "T : 88182 8337 2273 660 247 143 158 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.7123e-02 sec\n", + "--- Collate = 1.1326e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.008899e-05 < 1.562500e-03 [76]\n", + "--- Max DT=3.845522e-01 > 1.000000e-01 [71023]\n", + "----------------------------------------------------------------------\n", + " Component | low: 76/100000\n", + " Component | high: 71023/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=90.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.001738 [ 0.33 %]\n", + "Velocity : 0.0049826 [ 0.95 %]\n", + "Force : 0.117552 [ 22.50 %]\n", + "Coefs : 0.031596 [ 6.05 %]\n", + "Output : 0.0016779 [ 0.32 %]\n", + "Levels : 8.6473e-05 [ 0.02 %]\n", + "Report : 1.7e-07 [ 0.00 %]\n", + "Balance : 1.03e-07 [ 0.00 %]\n", + "Adjust : 0.364878 [ 69.82 %]\n", + "Total : 0.522564 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22048 2067 583 170 55 40 37 \n", + "1 : 22034 2132 559 140 54 39 42 \n", + "2 : 22066 2037 581 192 57 32 35 \n", + "3 : 22017 2133 525 174 62 45 44 \n", + "\n", + "T : 88165 8369 2248 676 228 156 158 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9227e-02 sec\n", + "--- Collate = 1.0689e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.982217e-06 < 1.562500e-03 [71]\n", + "--- Max DT=3.847578e-01 > 1.000000e-01 [71013]\n", + "----------------------------------------------------------------------\n", + " Component | low: 71/100000\n", + " Component | high: 71013/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=90.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00172337 [ 0.33 %]\n", + "Velocity : 0.00504906 [ 0.98 %]\n", + "Force : 0.117582 [ 22.72 %]\n", + "Coefs : 0.0302727 [ 5.85 %]\n", + "Output : 0.00170925 [ 0.33 %]\n", + "Levels : 9.0111e-05 [ 0.02 %]\n", + "Report : 1.67e-07 [ 0.00 %]\n", + "Balance : 1.06e-07 [ 0.00 %]\n", + "Adjust : 0.36098 [ 69.76 %]\n", + "Total : 0.517464 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22055 2063 583 166 55 40 38 \n", + "1 : 22031 2137 548 154 54 36 40 \n", + "2 : 22060 2035 588 184 59 33 41 \n", + "3 : 22009 2133 529 184 56 46 43 \n", + "\n", + "T : 88155 8368 2248 688 224 155 162 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9943e-02 sec\n", + "--- Collate = 1.6034e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.587356e-06 < 1.562500e-03 [70]\n", + "--- Max DT=3.849587e-01 > 1.000000e-01 [70997]\n", + "----------------------------------------------------------------------\n", + " Component | low: 70/100000\n", + " Component | high: 70997/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=90.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00184736 [ 0.34 %]\n", + "Velocity : 0.00517176 [ 0.94 %]\n", + "Force : 0.124303 [ 22.60 %]\n", + "Coefs : 0.0334849 [ 6.09 %]\n", + "Output : 0.00202941 [ 0.37 %]\n", + "Levels : 0.000132245 [ 0.02 %]\n", + "Report : 2.32e-07 [ 0.00 %]\n", + "Balance : 1.55e-07 [ 0.00 %]\n", + "Adjust : 0.383054 [ 69.64 %]\n", + "Total : 0.550082 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22057 2045 608 156 59 35 40 \n", + "1 : 22023 2135 554 160 56 33 39 \n", + "2 : 22052 2036 594 176 63 43 36 \n", + "3 : 22010 2120 545 174 72 43 36 \n", + "\n", + "T : 88142 8336 2301 666 250 154 151 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.8652e-02 sec\n", + "--- Collate = 1.4162e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.796956e-06 < 1.562500e-03 [70]\n", + "--- Max DT=3.851545e-01 > 1.000000e-01 [70992]\n", + "----------------------------------------------------------------------\n", + " Component | low: 70/100000\n", + " Component | high: 70992/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=90.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00210532 [ 0.38 %]\n", + "Velocity : 0.00580542 [ 1.05 %]\n", + "Force : 0.124584 [ 22.54 %]\n", + "Coefs : 0.0340688 [ 6.16 %]\n", + "Output : 0.00199661 [ 0.36 %]\n", + "Levels : 0.000125221 [ 0.02 %]\n", + "Report : 1.06e-07 [ 0.00 %]\n", + "Balance : 1.17e-07 [ 0.00 %]\n", + "Adjust : 0.38389 [ 69.47 %]\n", + "Total : 0.552635 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22053 2048 606 158 62 33 40 \n", + "1 : 22038 2113 561 168 53 36 31 \n", + "2 : 22053 2037 585 172 70 39 44 \n", + "3 : 22017 2108 550 170 78 47 30 \n", + "\n", + "T : 88161 8306 2302 668 263 155 145 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9514e-02 sec\n", + "--- Collate = 1.3094e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.842676e-06 < 1.562500e-03 [61]\n", + "--- Max DT=3.853457e-01 > 1.000000e-01 [71011]\n", + "----------------------------------------------------------------------\n", + " Component | low: 61/100000\n", + " Component | high: 71011/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=91] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00222323 [ 0.33 %]\n", + "Velocity : 0.00626209 [ 0.93 %]\n", + "Force : 0.12249 [ 18.24 %]\n", + "Coefs : 0.0327874 [ 4.88 %]\n", + "Output : 0.126933 [ 18.90 %]\n", + "Levels : 0.000122644 [ 0.02 %]\n", + "Report : 5.63e-07 [ 0.00 %]\n", + "Balance : 3.39e-07 [ 0.00 %]\n", + "Adjust : 0.380712 [ 56.69 %]\n", + "Total : 0.671591 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22059 2055 597 153 60 38 38 \n", + "1 : 22020 2131 570 168 49 37 25 \n", + "2 : 22049 2037 602 167 62 41 42 \n", + "3 : 22017 2110 541 173 81 45 33 \n", + "\n", + "T : 88145 8333 2310 661 252 161 138 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 2.0479e-02 sec\n", + "--- Collate = 1.2565e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.289033e-06 < 1.562500e-03 [67]\n", + "--- Max DT=3.855317e-01 > 1.000000e-01 [71004]\n", + "----------------------------------------------------------------------\n", + " Component | low: 67/100000\n", + " Component | high: 71004/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=91.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00182747 [ 0.33 %]\n", + "Velocity : 0.0053691 [ 0.98 %]\n", + "Force : 0.122767 [ 22.37 %]\n", + "Coefs : 0.0315145 [ 5.74 %]\n", + "Output : 0.00179659 [ 0.33 %]\n", + "Levels : 0.000117678 [ 0.02 %]\n", + "Report : 2.68e-07 [ 0.00 %]\n", + "Balance : 1.29e-07 [ 0.00 %]\n", + "Adjust : 0.385408 [ 70.22 %]\n", + "Total : 0.548857 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22058 2051 609 144 58 38 42 \n", + "1 : 22009 2140 564 175 56 31 25 \n", + "2 : 22038 2040 611 160 66 40 45 \n", + "3 : 22018 2104 541 181 79 41 36 \n", + "\n", + "T : 88123 8335 2325 660 259 150 148 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 2.0762e-02 sec\n", + "--- Collate = 1.2783e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.040867e-06 < 1.562500e-03 [78]\n", + "--- Max DT=3.857132e-01 > 1.000000e-01 [71006]\n", + "----------------------------------------------------------------------\n", + " Component | low: 78/100000\n", + " Component | high: 71006/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=91.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00193319 [ 0.34 %]\n", + "Velocity : 0.00615274 [ 1.08 %]\n", + "Force : 0.127506 [ 22.28 %]\n", + "Coefs : 0.0347041 [ 6.07 %]\n", + "Output : 0.00195785 [ 0.34 %]\n", + "Levels : 9.6563e-05 [ 0.02 %]\n", + "Report : 2.86e-07 [ 0.00 %]\n", + "Balance : 1.27e-07 [ 0.00 %]\n", + "Adjust : 0.399771 [ 69.87 %]\n", + "Total : 0.572182 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22054 2046 612 148 61 36 43 \n", + "1 : 22015 2128 562 176 66 27 26 \n", + "2 : 22041 2038 602 167 67 42 43 \n", + "3 : 22017 2104 542 182 80 32 43 \n", + "\n", + "T : 88127 8316 2318 673 274 137 155 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 2.0621e-02 sec\n", + "--- Collate = 1.2512e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.209725e-06 < 1.562500e-03 [64]\n", + "--- Max DT=3.858901e-01 > 1.000000e-01 [71032]\n", + "----------------------------------------------------------------------\n", + " Component | low: 64/100000\n", + " Component | high: 71032/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=91.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00199993 [ 0.34 %]\n", + "Velocity : 0.00499783 [ 0.86 %]\n", + "Force : 0.131791 [ 22.73 %]\n", + "Coefs : 0.0368739 [ 6.36 %]\n", + "Output : 0.00188224 [ 0.32 %]\n", + "Levels : 0.000105495 [ 0.02 %]\n", + "Report : 2.53e-07 [ 0.00 %]\n", + "Balance : 1.19e-07 [ 0.00 %]\n", + "Adjust : 0.402181 [ 69.35 %]\n", + "Total : 0.579892 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22053 2045 611 149 64 37 41 \n", + "1 : 22024 2119 556 182 57 30 32 \n", + "2 : 22031 2055 596 164 66 51 37 \n", + "3 : 22015 2108 542 178 75 41 41 \n", + "\n", + "T : 88123 8327 2305 673 262 159 151 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.8299e-02 sec\n", + "--- Collate = 1.5148e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.170444e-05 < 1.562500e-03 [67]\n", + "--- Max DT=3.860625e-01 > 1.000000e-01 [71018]\n", + "----------------------------------------------------------------------\n", + " Component | low: 67/100000\n", + " Component | high: 71018/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=91.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00183324 [ 0.33 %]\n", + "Velocity : 0.00591685 [ 1.07 %]\n", + "Force : 0.124737 [ 22.53 %]\n", + "Coefs : 0.0353268 [ 6.38 %]\n", + "Output : 0.00189187 [ 0.34 %]\n", + "Levels : 0.000124643 [ 0.02 %]\n", + "Report : 2.5e-07 [ 0.00 %]\n", + "Balance : 1.45e-07 [ 0.00 %]\n", + "Adjust : 0.383807 [ 69.32 %]\n", + "Total : 0.553695 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22044 2049 615 162 49 36 45 \n", + "1 : 22025 2104 565 184 45 43 34 \n", + "2 : 22029 2060 586 174 76 33 42 \n", + "3 : 22011 2111 544 174 68 48 44 \n", + "\n", + "T : 88109 8324 2310 694 238 160 165 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9587e-02 sec\n", + "--- Collate = 1.5851e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.331690e-05 < 1.562500e-03 [88]\n", + "--- Max DT=3.862306e-01 > 1.000000e-01 [71008]\n", + "----------------------------------------------------------------------\n", + " Component | low: 88/100000\n", + " Component | high: 71008/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=91.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00217701 [ 0.40 %]\n", + "Velocity : 0.0055841 [ 1.03 %]\n", + "Force : 0.122379 [ 22.61 %]\n", + "Coefs : 0.03326 [ 6.15 %]\n", + "Output : 0.00189564 [ 0.35 %]\n", + "Levels : 0.000130646 [ 0.02 %]\n", + "Report : 2.74e-07 [ 0.00 %]\n", + "Balance : 1.53e-07 [ 0.00 %]\n", + "Adjust : 0.375726 [ 69.42 %]\n", + "Total : 0.541225 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22053 2047 597 176 49 43 35 \n", + "1 : 22028 2100 559 183 54 31 45 \n", + "2 : 22029 2062 578 200 57 28 46 \n", + "3 : 21993 2126 561 157 74 48 41 \n", + "\n", + "T : 88103 8335 2295 716 234 150 167 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9479e-02 sec\n", + "--- Collate = 1.4552e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.938738e-06 < 1.562500e-03 [85]\n", + "--- Max DT=3.863944e-01 > 1.000000e-01 [70998]\n", + "----------------------------------------------------------------------\n", + " Component | low: 85/100000\n", + " Component | high: 70998/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=91.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00199344 [ 0.37 %]\n", + "Velocity : 0.0053095 [ 0.99 %]\n", + "Force : 0.119204 [ 22.16 %]\n", + "Coefs : 0.03369 [ 6.26 %]\n", + "Output : 0.00195689 [ 0.36 %]\n", + "Levels : 0.000116936 [ 0.02 %]\n", + "Report : 2.85e-07 [ 0.00 %]\n", + "Balance : 1.53e-07 [ 0.00 %]\n", + "Adjust : 0.375715 [ 69.83 %]\n", + "Total : 0.538043 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22048 2064 586 178 49 43 32 \n", + "1 : 22020 2101 570 170 49 36 54 \n", + "2 : 22014 2083 570 193 67 30 43 \n", + "3 : 21984 2135 551 165 72 51 42 \n", + "\n", + "T : 88066 8383 2277 706 237 160 171 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9753e-02 sec\n", + "--- Collate = 1.4084e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.645808e-06 < 1.562500e-03 [65]\n", + "--- Max DT=3.865539e-01 > 1.000000e-01 [70992]\n", + "----------------------------------------------------------------------\n", + " Component | low: 65/100000\n", + " Component | high: 70992/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=91.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00221694 [ 0.41 %]\n", + "Velocity : 0.0056411 [ 1.05 %]\n", + "Force : 0.119778 [ 22.22 %]\n", + "Coefs : 0.0327956 [ 6.08 %]\n", + "Output : 0.00198113 [ 0.37 %]\n", + "Levels : 0.000121061 [ 0.02 %]\n", + "Report : 2.82e-07 [ 0.00 %]\n", + "Balance : 1.53e-07 [ 0.00 %]\n", + "Adjust : 0.376557 [ 69.84 %]\n", + "Total : 0.53915 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22042 2078 586 175 53 31 35 \n", + "1 : 22009 2106 571 167 55 42 50 \n", + "2 : 22019 2082 571 182 74 38 34 \n", + "3 : 21984 2130 553 177 67 44 45 \n", + "\n", + "T : 88054 8396 2281 701 249 155 164 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9633e-02 sec\n", + "--- Collate = 1.3896e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.917049e-06 < 1.562500e-03 [71]\n", + "--- Max DT=3.867095e-01 > 1.000000e-01 [70992]\n", + "----------------------------------------------------------------------\n", + " Component | low: 71/100000\n", + " Component | high: 70992/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=91.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00204904 [ 0.38 %]\n", + "Velocity : 0.00539311 [ 0.99 %]\n", + "Force : 0.121756 [ 22.36 %]\n", + "Coefs : 0.0332737 [ 6.11 %]\n", + "Output : 0.00200955 [ 0.37 %]\n", + "Levels : 0.000115759 [ 0.02 %]\n", + "Report : 2.49e-07 [ 0.00 %]\n", + "Balance : 1.74e-07 [ 0.00 %]\n", + "Adjust : 0.379801 [ 69.76 %]\n", + "Total : 0.544458 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22035 2094 584 167 61 23 36 \n", + "1 : 22018 2100 558 168 66 45 45 \n", + "2 : 22014 2096 562 188 73 38 29 \n", + "3 : 21969 2148 548 176 70 50 39 \n", + "\n", + "T : 88036 8438 2252 699 270 156 149 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.7319e-02 sec\n", + "--- Collate = 1.5657e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.927228e-05 < 1.562500e-03 [70]\n", + "--- Max DT=3.868609e-01 > 1.000000e-01 [70970]\n", + "----------------------------------------------------------------------\n", + " Component | low: 70/100000\n", + " Component | high: 70970/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=91.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00198699 [ 0.37 %]\n", + "Velocity : 0.00569412 [ 1.05 %]\n", + "Force : 0.12194 [ 22.42 %]\n", + "Coefs : 0.0326876 [ 6.01 %]\n", + "Output : 0.00199688 [ 0.37 %]\n", + "Levels : 0.000126175 [ 0.02 %]\n", + "Report : 2.66e-07 [ 0.00 %]\n", + "Balance : 1.42e-07 [ 0.00 %]\n", + "Adjust : 0.379508 [ 69.76 %]\n", + "Total : 0.544 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22026 2105 573 172 64 30 30 \n", + "1 : 22025 2087 559 165 77 42 45 \n", + "2 : 22008 2103 567 182 72 38 30 \n", + "3 : 21964 2149 554 172 74 54 33 \n", + "\n", + "T : 88023 8444 2253 691 287 164 138 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 1.9848e-02 sec\n", + "--- Collate = 1.4186e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.922781e-05 < 1.562500e-03 [58]\n", + "--- Max DT=3.870082e-01 > 1.000000e-01 [70965]\n", + "----------------------------------------------------------------------\n", + " Component | low: 58/100000\n", + " Component | high: 70965/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=92] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00195309 [ 0.29 %]\n", + "Velocity : 0.00561056 [ 0.83 %]\n", + "Force : 0.121064 [ 17.90 %]\n", + "Coefs : 0.0329913 [ 4.88 %]\n", + "Output : 0.136445 [ 20.17 %]\n", + "Levels : 0.000139551 [ 0.02 %]\n", + "Report : 5.72e-07 [ 0.00 %]\n", + "Balance : 3.8e-07 [ 0.00 %]\n", + "Adjust : 0.378212 [ 55.91 %]\n", + "Total : 0.676477 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22019 2104 579 163 63 39 33 \n", + "1 : 22022 2088 559 171 70 48 42 \n", + "2 : 22008 2102 567 177 71 39 36 \n", + "3 : 21960 2142 568 171 71 50 38 \n", + "\n", + "T : 88009 8436 2273 682 275 176 149 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 1.8383e-02 sec\n", + "--- Collate = 1.4731e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.011479e-07 < 1.562500e-03 [72]\n", + "--- Max DT=3.871515e-01 > 1.000000e-01 [70949]\n", + "----------------------------------------------------------------------\n", + " Component | low: 72/100000\n", + " Component | high: 70949/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=92.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00223036 [ 0.42 %]\n", + "Velocity : 0.00590481 [ 1.11 %]\n", + "Force : 0.121232 [ 22.87 %]\n", + "Coefs : 0.0335354 [ 6.33 %]\n", + "Output : 0.00185241 [ 0.35 %]\n", + "Levels : 0.000129747 [ 0.02 %]\n", + "Report : 2.37e-07 [ 0.00 %]\n", + "Balance : 1.41e-07 [ 0.00 %]\n", + "Adjust : 0.365253 [ 68.89 %]\n", + "Total : 0.530197 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22020 2096 581 169 63 41 30 \n", + "1 : 22009 2106 555 171 76 37 46 \n", + "2 : 22001 2116 556 175 66 43 43 \n", + "3 : 21957 2144 555 182 71 45 46 \n", + "\n", + "T : 87987 8462 2247 697 276 166 165 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9246e-02 sec\n", + "--- Collate = 1.4147e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.791083e-05 < 1.562500e-03 [85]\n", + "--- Max DT=3.872908e-01 > 1.000000e-01 [70958]\n", + "----------------------------------------------------------------------\n", + " Component | low: 85/100000\n", + " Component | high: 70958/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=92.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00226067 [ 0.43 %]\n", + "Velocity : 0.00557564 [ 1.06 %]\n", + "Force : 0.116675 [ 22.16 %]\n", + "Coefs : 0.0321631 [ 6.11 %]\n", + "Output : 0.0019306 [ 0.37 %]\n", + "Levels : 0.000142736 [ 0.03 %]\n", + "Report : 2.6e-07 [ 0.00 %]\n", + "Balance : 2e-07 [ 0.00 %]\n", + "Adjust : 0.367601 [ 69.83 %]\n", + "Total : 0.526405 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22018 2088 586 175 62 31 40 \n", + "1 : 22006 2103 557 171 74 44 45 \n", + "2 : 21992 2118 572 160 66 47 45 \n", + "3 : 21962 2141 558 176 70 41 52 \n", + "\n", + "T : 87978 8450 2273 682 272 163 182 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.8980e-02 sec\n", + "--- Collate = 1.3956e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.336528e-06 < 1.562500e-03 [98]\n", + "--- Max DT=3.874259e-01 > 1.000000e-01 [70956]\n", + "----------------------------------------------------------------------\n", + " Component | low: 98/100000\n", + " Component | high: 70956/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=92.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00197494 [ 0.37 %]\n", + "Velocity : 0.00529358 [ 1.00 %]\n", + "Force : 0.119504 [ 22.47 %]\n", + "Coefs : 0.0329023 [ 6.19 %]\n", + "Output : 0.00196785 [ 0.37 %]\n", + "Levels : 0.000116294 [ 0.02 %]\n", + "Report : 6.04e-07 [ 0.00 %]\n", + "Balance : 1.77e-07 [ 0.00 %]\n", + "Adjust : 0.369934 [ 69.57 %]\n", + "Total : 0.53175 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22012 2086 592 172 61 37 40 \n", + "1 : 21987 2108 568 174 63 60 40 \n", + "2 : 21990 2119 580 146 70 40 55 \n", + "3 : 21939 2160 567 175 59 53 47 \n", + "\n", + "T : 87928 8473 2307 667 253 190 182 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 1.8619e-02 sec\n", + "--- Collate = 1.4582e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.887595e-06 < 1.562500e-03 [88]\n", + "--- Max DT=3.875567e-01 > 1.000000e-01 [70957]\n", + "----------------------------------------------------------------------\n", + " Component | low: 88/100000\n", + " Component | high: 70957/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=92.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00203355 [ 0.38 %]\n", + "Velocity : 0.00618573 [ 1.14 %]\n", + "Force : 0.120088 [ 22.17 %]\n", + "Coefs : 0.0330577 [ 6.10 %]\n", + "Output : 0.00211226 [ 0.39 %]\n", + "Levels : 0.000111643 [ 0.02 %]\n", + "Report : 2.9e-07 [ 0.00 %]\n", + "Balance : 1.37e-07 [ 0.00 %]\n", + "Adjust : 0.377958 [ 69.78 %]\n", + "Total : 0.54161 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 22011 2088 591 174 53 42 41 \n", + "1 : 21985 2093 586 178 58 51 49 \n", + "2 : 21980 2139 564 149 73 39 56 \n", + "3 : 21948 2145 574 168 67 50 48 \n", + "\n", + "T : 87924 8465 2315 669 251 182 194 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.7334e-02 sec\n", + "--- Collate = 1.5698e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.575582e-05 < 1.562500e-03 [86]\n", + "--- Max DT=3.876834e-01 > 1.000000e-01 [70953]\n", + "----------------------------------------------------------------------\n", + " Component | low: 86/100000\n", + " Component | high: 70953/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=92.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00194069 [ 0.36 %]\n", + "Velocity : 0.00558978 [ 1.05 %]\n", + "Force : 0.119042 [ 22.35 %]\n", + "Coefs : 0.033032 [ 6.20 %]\n", + "Output : 0.00192465 [ 0.36 %]\n", + "Levels : 0.000112851 [ 0.02 %]\n", + "Report : 2.81e-07 [ 0.00 %]\n", + "Balance : 1.41e-07 [ 0.00 %]\n", + "Adjust : 0.370899 [ 69.64 %]\n", + "Total : 0.5326 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21997 2095 598 173 58 42 37 \n", + "1 : 21987 2087 587 177 62 49 51 \n", + "2 : 21974 2127 575 152 75 48 49 \n", + "3 : 21936 2149 582 170 75 44 44 \n", + "\n", + "T : 87894 8458 2342 672 270 183 181 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9625e-02 sec\n", + "--- Collate = 1.5969e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.847332e-07 < 1.562500e-03 [82]\n", + "--- Max DT=3.878059e-01 > 1.000000e-01 [70935]\n", + "----------------------------------------------------------------------\n", + " Component | low: 82/100000\n", + " Component | high: 70935/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=92.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00205297 [ 0.39 %]\n", + "Velocity : 0.00571373 [ 1.07 %]\n", + "Force : 0.119042 [ 22.37 %]\n", + "Coefs : 0.0325539 [ 6.12 %]\n", + "Output : 0.00191961 [ 0.36 %]\n", + "Levels : 0.000129747 [ 0.02 %]\n", + "Report : 2.67e-07 [ 0.00 %]\n", + "Balance : 2.24e-07 [ 0.00 %]\n", + "Adjust : 0.370634 [ 69.65 %]\n", + "Total : 0.532102 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21991 2097 592 182 63 36 39 \n", + "1 : 21979 2080 596 175 78 40 52 \n", + "2 : 21975 2125 573 166 70 47 44 \n", + "3 : 21925 2154 578 175 81 40 47 \n", + "\n", + "T : 87870 8456 2339 698 292 163 182 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9280e-02 sec\n", + "--- Collate = 1.4037e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.636623e-06 < 1.562500e-03 [78]\n", + "--- Max DT=3.879291e-01 > 1.000000e-01 [70904]\n", + "----------------------------------------------------------------------\n", + " Component | low: 78/100000\n", + " Component | high: 70904/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=92.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00203832 [ 0.38 %]\n", + "Velocity : 0.00566475 [ 1.05 %]\n", + "Force : 0.120216 [ 22.37 %]\n", + "Coefs : 0.033539 [ 6.24 %]\n", + "Output : 0.00195025 [ 0.36 %]\n", + "Levels : 0.000117527 [ 0.02 %]\n", + "Report : 2.54e-07 [ 0.00 %]\n", + "Balance : 1.68e-07 [ 0.00 %]\n", + "Adjust : 0.373724 [ 69.55 %]\n", + "Total : 0.537308 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21990 2094 598 179 56 48 35 \n", + "1 : 21983 2078 595 177 73 49 45 \n", + "2 : 21986 2121 553 191 74 35 40 \n", + "3 : 21914 2170 561 191 69 50 45 \n", + "\n", + "T : 87873 8463 2307 738 272 182 165 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9038e-02 sec\n", + "--- Collate = 1.4165e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.041620e-05 < 1.562500e-03 [80]\n", + "--- Max DT=3.880489e-01 > 1.000000e-01 [70899]\n", + "----------------------------------------------------------------------\n", + " Component | low: 80/100000\n", + " Component | high: 70899/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=92.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00202648 [ 0.38 %]\n", + "Velocity : 0.00546548 [ 1.02 %]\n", + "Force : 0.119591 [ 22.32 %]\n", + "Coefs : 0.0332516 [ 6.20 %]\n", + "Output : 0.00196935 [ 0.37 %]\n", + "Levels : 0.000119683 [ 0.02 %]\n", + "Report : 2.38e-07 [ 0.00 %]\n", + "Balance : 1.49e-07 [ 0.00 %]\n", + "Adjust : 0.373421 [ 69.68 %]\n", + "Total : 0.535903 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21967 2114 601 183 56 40 39 \n", + "1 : 21988 2068 595 177 73 55 44 \n", + "2 : 21983 2127 548 190 68 43 41 \n", + "3 : 21903 2181 557 188 74 52 45 \n", + "\n", + "T : 87841 8490 2301 738 271 190 169 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9224e-02 sec\n", + "--- Collate = 1.2239e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.338137e-05 < 1.562500e-03 [80]\n", + "--- Max DT=3.881648e-01 > 1.000000e-01 [70902]\n", + "----------------------------------------------------------------------\n", + " Component | low: 80/100000\n", + " Component | high: 70902/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=92.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00193968 [ 0.36 %]\n", + "Velocity : 0.00538549 [ 1.00 %]\n", + "Force : 0.120318 [ 22.40 %]\n", + "Coefs : 0.0329603 [ 6.14 %]\n", + "Output : 0.00195706 [ 0.36 %]\n", + "Levels : 9.0364e-05 [ 0.02 %]\n", + "Report : 2.43e-07 [ 0.00 %]\n", + "Balance : 1.07e-07 [ 0.00 %]\n", + "Adjust : 0.374438 [ 69.71 %]\n", + "Total : 0.537147 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21957 2124 605 176 58 37 43 \n", + "1 : 21977 2082 577 179 88 50 47 \n", + "2 : 21978 2129 547 200 64 49 33 \n", + "3 : 21905 2172 567 185 73 48 50 \n", + "\n", + "T : 87817 8507 2296 740 283 184 173 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9333e-02 sec\n", + "--- Collate = 1.5563e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.005678e-05 < 1.562500e-03 [100]\n", + "--- Max DT=3.882764e-01 > 1.000000e-01 [70908]\n", + "----------------------------------------------------------------------\n", + " Component | low: 100/100000\n", + " Component | high: 70908/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=93] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00232671 [ 0.37 %]\n", + "Velocity : 0.00609908 [ 0.96 %]\n", + "Force : 0.118912 [ 18.69 %]\n", + "Coefs : 0.0324841 [ 5.11 %]\n", + "Output : 0.104939 [ 16.50 %]\n", + "Levels : 0.000133282 [ 0.02 %]\n", + "Report : 6.54e-07 [ 0.00 %]\n", + "Balance : 3.95e-07 [ 0.00 %]\n", + "Adjust : 0.371212 [ 58.35 %]\n", + "Total : 0.636165 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21954 2124 607 177 55 41 42 \n", + "1 : 21970 2085 574 193 81 53 44 \n", + "2 : 21981 2125 548 197 71 38 40 \n", + "3 : 21903 2167 575 193 60 49 53 \n", + "\n", + "T : 87808 8501 2304 760 267 181 179 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.8974e-02 sec\n", + "--- Collate = 1.3713e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.849615e-07 < 1.562500e-03 [92]\n", + "--- Max DT=3.883837e-01 > 1.000000e-01 [70902]\n", + "----------------------------------------------------------------------\n", + " Component | low: 92/100000\n", + " Component | high: 70902/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=93.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00181026 [ 0.32 %]\n", + "Velocity : 0.00497147 [ 0.88 %]\n", + "Force : 0.122603 [ 21.73 %]\n", + "Coefs : 0.062807 [ 11.13 %]\n", + "Output : 0.00203708 [ 0.36 %]\n", + "Levels : 0.000124215 [ 0.02 %]\n", + "Report : 2.53e-07 [ 0.00 %]\n", + "Balance : 1.94e-07 [ 0.00 %]\n", + "Adjust : 0.369824 [ 65.54 %]\n", + "Total : 0.564249 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21935 2140 612 179 51 39 44 \n", + "1 : 21971 2090 564 203 71 47 54 \n", + "2 : 21973 2126 559 189 72 39 42 \n", + "3 : 21890 2187 566 187 63 57 50 \n", + "\n", + "T : 87769 8543 2301 758 257 182 190 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9088e-02 sec\n", + "--- Collate = 1.2875e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.175693e-06 < 1.562500e-03 [88]\n", + "--- Max DT=3.884867e-01 > 1.000000e-01 [70896]\n", + "----------------------------------------------------------------------\n", + " Component | low: 88/100000\n", + " Component | high: 70896/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=93.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00224775 [ 0.41 %]\n", + "Velocity : 0.00578086 [ 1.06 %]\n", + "Force : 0.124827 [ 22.98 %]\n", + "Coefs : 0.0352805 [ 6.49 %]\n", + "Output : 0.00204753 [ 0.38 %]\n", + "Levels : 0.000117818 [ 0.02 %]\n", + "Report : 2.03e-07 [ 0.00 %]\n", + "Balance : 1.29e-07 [ 0.00 %]\n", + "Adjust : 0.372858 [ 68.64 %]\n", + "Total : 0.543221 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21946 2130 612 177 51 46 38 \n", + "1 : 21976 2082 563 203 74 48 54 \n", + "2 : 21962 2133 574 183 54 45 49 \n", + "3 : 21887 2193 565 183 67 52 53 \n", + "\n", + "T : 87771 8538 2314 746 246 191 194 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9233e-02 sec\n", + "--- Collate = 1.3678e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.996733e-08 < 1.562500e-03 [92]\n", + "--- Max DT=3.885854e-01 > 1.000000e-01 [70876]\n", + "----------------------------------------------------------------------\n", + " Component | low: 92/100000\n", + " Component | high: 70876/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=93.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00235978 [ 0.43 %]\n", + "Velocity : 0.00601628 [ 1.10 %]\n", + "Force : 0.126181 [ 22.98 %]\n", + "Coefs : 0.0357759 [ 6.52 %]\n", + "Output : 0.00203648 [ 0.37 %]\n", + "Levels : 0.000133943 [ 0.02 %]\n", + "Report : 2.42e-07 [ 0.00 %]\n", + "Balance : 1.46e-07 [ 0.00 %]\n", + "Adjust : 0.376497 [ 68.57 %]\n", + "Total : 0.549063 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21931 2144 610 183 54 44 34 \n", + "1 : 21976 2080 561 198 83 43 59 \n", + "2 : 21956 2139 577 171 61 47 49 \n", + "3 : 21878 2200 573 178 68 57 46 \n", + "\n", + "T : 87741 8563 2321 730 266 191 188 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9406e-02 sec\n", + "--- Collate = 1.3006e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.983110e-06 < 1.562500e-03 [85]\n", + "--- Max DT=3.886801e-01 > 1.000000e-01 [70893]\n", + "----------------------------------------------------------------------\n", + " Component | low: 85/100000\n", + " Component | high: 70893/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=93.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00219249 [ 0.40 %]\n", + "Velocity : 0.00556102 [ 1.02 %]\n", + "Force : 0.125145 [ 22.97 %]\n", + "Coefs : 0.0353917 [ 6.49 %]\n", + "Output : 0.00203993 [ 0.37 %]\n", + "Levels : 0.000123488 [ 0.02 %]\n", + "Report : 2.62e-07 [ 0.00 %]\n", + "Balance : 1.39e-07 [ 0.00 %]\n", + "Adjust : 0.374409 [ 68.71 %]\n", + "Total : 0.544921 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21939 2132 609 192 55 43 30 \n", + "1 : 21965 2071 586 205 69 55 49 \n", + "2 : 21953 2142 579 171 66 36 53 \n", + "3 : 21881 2198 578 175 61 55 52 \n", + "\n", + "T : 87738 8543 2352 743 251 189 184 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 2.0199e-02 sec\n", + "--- Collate = 1.4077e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.660589e-06 < 1.562500e-03 [85]\n", + "--- Max DT=3.887708e-01 > 1.000000e-01 [70881]\n", + "----------------------------------------------------------------------\n", + " Component | low: 85/100000\n", + " Component | high: 70881/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=93.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00223007 [ 0.40 %]\n", + "Velocity : 0.00582663 [ 1.05 %]\n", + "Force : 0.126216 [ 22.82 %]\n", + "Coefs : 0.0355213 [ 6.42 %]\n", + "Output : 0.00209513 [ 0.38 %]\n", + "Levels : 0.000118592 [ 0.02 %]\n", + "Report : 2.64e-07 [ 0.00 %]\n", + "Balance : 1.99e-07 [ 0.00 %]\n", + "Adjust : 0.381081 [ 68.89 %]\n", + "Total : 0.553152 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21922 2149 603 188 68 32 38 \n", + "1 : 21954 2081 594 187 68 65 51 \n", + "2 : 21953 2140 584 161 76 38 48 \n", + "3 : 21873 2203 572 176 78 41 57 \n", + "\n", + "T : 87702 8573 2353 712 290 176 194 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9892e-02 sec\n", + "--- Collate = 1.3322e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.097108e-05 < 1.562500e-03 [94]\n", + "--- Max DT=3.888573e-01 > 1.000000e-01 [70843]\n", + "----------------------------------------------------------------------\n", + " Component | low: 94/100000\n", + " Component | high: 70843/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=93.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00259658 [ 0.47 %]\n", + "Velocity : 0.00597041 [ 1.07 %]\n", + "Force : 0.125474 [ 22.58 %]\n", + "Coefs : 0.0348717 [ 6.28 %]\n", + "Output : 0.00210501 [ 0.38 %]\n", + "Levels : 0.000121537 [ 0.02 %]\n", + "Report : 2.59e-07 [ 0.00 %]\n", + "Balance : 1.28e-07 [ 0.00 %]\n", + "Adjust : 0.384414 [ 69.19 %]\n", + "Total : 0.555613 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21924 2147 596 203 59 35 36 \n", + "1 : 21942 2098 591 182 86 48 53 \n", + "2 : 21949 2136 592 166 69 48 40 \n", + "3 : 21867 2209 576 172 77 52 47 \n", + "\n", + "T : 87682 8590 2355 723 291 183 176 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9160e-02 sec\n", + "--- Collate = 1.3896e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.840793e-05 < 1.562500e-03 [80]\n", + "--- Max DT=3.889394e-01 > 1.000000e-01 [70845]\n", + "----------------------------------------------------------------------\n", + " Component | low: 80/100000\n", + " Component | high: 70845/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=93.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0023029 [ 0.42 %]\n", + "Velocity : 0.00601521 [ 1.10 %]\n", + "Force : 0.12381 [ 22.58 %]\n", + "Coefs : 0.0351543 [ 6.41 %]\n", + "Output : 0.00208084 [ 0.38 %]\n", + "Levels : 0.000123197 [ 0.02 %]\n", + "Report : 1.7e-07 [ 0.00 %]\n", + "Balance : 1.91e-07 [ 0.00 %]\n", + "Adjust : 0.378868 [ 69.08 %]\n", + "Total : 0.548413 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21917 2160 588 210 52 37 36 \n", + "1 : 21935 2095 612 183 83 42 50 \n", + "2 : 21940 2144 582 177 73 43 41 \n", + "3 : 21868 2200 584 173 75 57 43 \n", + "\n", + "T : 87660 8599 2366 743 283 179 170 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9104e-02 sec\n", + "--- Collate = 1.2333e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.735313e-06 < 1.562500e-03 [85]\n", + "--- Max DT=3.890174e-01 > 1.000000e-01 [70860]\n", + "----------------------------------------------------------------------\n", + " Component | low: 85/100000\n", + " Component | high: 70860/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=93.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0021198 [ 0.39 %]\n", + "Velocity : 0.00538215 [ 0.98 %]\n", + "Force : 0.124921 [ 22.83 %]\n", + "Coefs : 0.0353934 [ 6.47 %]\n", + "Output : 0.00196935 [ 0.36 %]\n", + "Levels : 0.000111658 [ 0.02 %]\n", + "Report : 3.12e-07 [ 0.00 %]\n", + "Balance : 1.78e-07 [ 0.00 %]\n", + "Adjust : 0.377294 [ 68.94 %]\n", + "Total : 0.547251 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21923 2151 602 199 52 40 33 \n", + "1 : 21931 2096 617 181 77 49 49 \n", + "2 : 21932 2147 585 182 73 38 43 \n", + "3 : 21859 2199 598 163 77 58 46 \n", + "\n", + "T : 87645 8593 2402 725 279 185 171 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.7279e-02 sec\n", + "--- Collate = 1.1325e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.864460e-06 < 1.562500e-03 [81]\n", + "--- Max DT=3.890914e-01 > 1.000000e-01 [70857]\n", + "----------------------------------------------------------------------\n", + " Component | low: 81/100000\n", + " Component | high: 70857/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=93.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00182535 [ 0.34 %]\n", + "Velocity : 0.00497337 [ 0.93 %]\n", + "Force : 0.120701 [ 22.55 %]\n", + "Coefs : 0.0340294 [ 6.36 %]\n", + "Output : 0.00160587 [ 0.30 %]\n", + "Levels : 8.0944e-05 [ 0.02 %]\n", + "Report : 2.48e-07 [ 0.00 %]\n", + "Balance : 1.54e-07 [ 0.00 %]\n", + "Adjust : 0.372062 [ 69.50 %]\n", + "Total : 0.535336 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21906 2152 630 188 51 40 33 \n", + "1 : 21923 2095 622 189 68 57 46 \n", + "2 : 21923 2153 583 193 64 39 45 \n", + "3 : 21842 2213 600 164 78 43 60 \n", + "\n", + "T : 87594 8613 2435 734 261 179 184 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9424e-02 sec\n", + "--- Collate = 1.2457e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.117755e-05 < 1.562500e-03 [87]\n", + "--- Max DT=3.891616e-01 > 1.000000e-01 [70872]\n", + "----------------------------------------------------------------------\n", + " Component | low: 87/100000\n", + " Component | high: 70872/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=94] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00185555 [ 0.29 %]\n", + "Velocity : 0.0048474 [ 0.75 %]\n", + "Force : 0.120148 [ 18.54 %]\n", + "Coefs : 0.0342373 [ 5.28 %]\n", + "Output : 0.119759 [ 18.48 %]\n", + "Levels : 0.000102982 [ 0.02 %]\n", + "Report : 3.03e-07 [ 0.00 %]\n", + "Balance : 2.24e-07 [ 0.00 %]\n", + "Adjust : 0.367027 [ 56.64 %]\n", + "Total : 0.648039 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21911 2141 623 188 56 45 36 \n", + "1 : 21914 2110 611 199 72 52 42 \n", + "2 : 21921 2144 589 197 60 46 43 \n", + "3 : 21836 2222 600 166 68 44 64 \n", + "\n", + "T : 87582 8617 2423 750 256 187 185 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9930e-02 sec\n", + "--- Collate = 1.4488e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.702414e-05 < 1.562500e-03 [94]\n", + "--- Max DT=3.892277e-01 > 1.000000e-01 [70860]\n", + "----------------------------------------------------------------------\n", + " Component | low: 94/100000\n", + " Component | high: 70860/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=94.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00267956 [ 0.47 %]\n", + "Velocity : 0.00546426 [ 0.96 %]\n", + "Force : 0.128421 [ 22.53 %]\n", + "Coefs : 0.0482464 [ 8.46 %]\n", + "Output : 0.00204434 [ 0.36 %]\n", + "Levels : 0.000118757 [ 0.02 %]\n", + "Report : 2.37e-07 [ 0.00 %]\n", + "Balance : 2.76e-07 [ 0.00 %]\n", + "Adjust : 0.383025 [ 67.19 %]\n", + "Total : 0.570065 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21895 2143 635 189 57 43 38 \n", + "1 : 21905 2114 617 199 75 45 45 \n", + "2 : 21915 2151 590 186 63 52 43 \n", + "3 : 21842 2205 611 176 58 45 63 \n", + "\n", + "T : 87557 8613 2453 750 253 185 189 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9262e-02 sec\n", + "--- Collate = 1.3320e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.366204e-07 < 1.562500e-03 [91]\n", + "--- Max DT=3.894359e-01 > 1.000000e-01 [70848]\n", + "----------------------------------------------------------------------\n", + " Component | low: 91/100000\n", + " Component | high: 70848/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=94.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00223829 [ 0.40 %]\n", + "Velocity : 0.00572076 [ 1.03 %]\n", + "Force : 0.128046 [ 23.09 %]\n", + "Coefs : 0.0361875 [ 6.53 %]\n", + "Output : 0.00201851 [ 0.36 %]\n", + "Levels : 0.000116348 [ 0.02 %]\n", + "Report : 2.46e-07 [ 0.00 %]\n", + "Balance : 1.41e-07 [ 0.00 %]\n", + "Adjust : 0.380193 [ 68.56 %]\n", + "Total : 0.55458 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21888 2157 629 178 60 43 45 \n", + "1 : 21902 2119 616 201 75 42 45 \n", + "2 : 21913 2146 588 191 67 45 50 \n", + "3 : 21848 2191 615 178 70 45 53 \n", + "\n", + "T : 87551 8613 2448 748 272 175 193 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9818e-02 sec\n", + "--- Collate = 1.2756e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.587005e-06 < 1.562500e-03 [86]\n", + "--- Max DT=3.902202e-01 > 1.000000e-01 [70828]\n", + "----------------------------------------------------------------------\n", + " Component | low: 86/100000\n", + " Component | high: 70828/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=94.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00224693 [ 0.41 %]\n", + "Velocity : 0.00569181 [ 1.03 %]\n", + "Force : 0.127255 [ 23.10 %]\n", + "Coefs : 0.0358742 [ 6.51 %]\n", + "Output : 0.00202566 [ 0.37 %]\n", + "Levels : 0.000122207 [ 0.02 %]\n", + "Report : 2.65e-07 [ 0.00 %]\n", + "Balance : 1.4e-07 [ 0.00 %]\n", + "Adjust : 0.377681 [ 68.55 %]\n", + "Total : 0.550958 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21877 2150 645 182 62 36 48 \n", + "1 : 21884 2135 620 201 71 53 36 \n", + "2 : 21912 2142 590 182 75 53 46 \n", + "3 : 21840 2200 608 185 78 49 40 \n", + "\n", + "T : 87513 8627 2463 750 286 191 170 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 2.0160e-02 sec\n", + "--- Collate = 1.3955e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.230857e-05 < 1.562500e-03 [74]\n", + "--- Max DT=3.909923e-01 > 1.000000e-01 [70816]\n", + "----------------------------------------------------------------------\n", + " Component | low: 74/100000\n", + " Component | high: 70816/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=94.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00246426 [ 0.44 %]\n", + "Velocity : 0.00602129 [ 1.08 %]\n", + "Force : 0.127404 [ 22.93 %]\n", + "Coefs : 0.0363352 [ 6.54 %]\n", + "Output : 0.00209397 [ 0.38 %]\n", + "Levels : 0.00013009 [ 0.02 %]\n", + "Report : 2.6e-07 [ 0.00 %]\n", + "Balance : 1.51e-07 [ 0.00 %]\n", + "Adjust : 0.381053 [ 68.59 %]\n", + "Total : 0.555565 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21880 2146 632 196 61 43 42 \n", + "1 : 21873 2149 614 204 74 39 47 \n", + "2 : 21910 2130 601 185 82 46 46 \n", + "3 : 21841 2201 601 185 80 52 40 \n", + "\n", + "T : 87504 8626 2448 770 297 180 175 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9722e-02 sec\n", + "--- Collate = 1.4608e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.242550e-06 < 1.562500e-03 [78]\n", + "--- Max DT=3.917943e-01 > 1.000000e-01 [70820]\n", + "----------------------------------------------------------------------\n", + " Component | low: 78/100000\n", + " Component | high: 70820/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=94.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00219916 [ 0.40 %]\n", + "Velocity : 0.00559148 [ 1.01 %]\n", + "Force : 0.128139 [ 23.04 %]\n", + "Coefs : 0.0364749 [ 6.56 %]\n", + "Output : 0.00213877 [ 0.38 %]\n", + "Levels : 0.000120907 [ 0.02 %]\n", + "Report : 5.17e-07 [ 0.00 %]\n", + "Balance : 1.42e-07 [ 0.00 %]\n", + "Adjust : 0.381415 [ 68.58 %]\n", + "Total : 0.556143 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21874 2150 626 197 64 56 33 \n", + "1 : 21867 2150 615 207 73 46 42 \n", + "2 : 21902 2126 624 172 75 59 42 \n", + "3 : 21832 2221 585 198 70 48 46 \n", + "\n", + "T : 87475 8647 2450 774 282 209 163 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9490e-02 sec\n", + "--- Collate = 1.3109e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.023798e-05 < 1.562500e-03 [84]\n", + "--- Max DT=3.926434e-01 > 1.000000e-01 [70829]\n", + "----------------------------------------------------------------------\n", + " Component | low: 84/100000\n", + " Component | high: 70829/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=94.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00228317 [ 0.41 %]\n", + "Velocity : 0.00614051 [ 1.11 %]\n", + "Force : 0.127009 [ 22.97 %]\n", + "Coefs : 0.0363902 [ 6.58 %]\n", + "Output : 0.00212714 [ 0.38 %]\n", + "Levels : 0.000115698 [ 0.02 %]\n", + "Report : 2.45e-07 [ 0.00 %]\n", + "Balance : 1.37e-07 [ 0.00 %]\n", + "Adjust : 0.37874 [ 68.50 %]\n", + "Total : 0.552868 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21862 2161 631 198 62 48 38 \n", + "1 : 21861 2169 609 185 90 39 47 \n", + "2 : 21901 2124 621 173 76 51 54 \n", + "3 : 21826 2217 593 203 69 44 48 \n", + "\n", + "T : 87450 8671 2454 759 297 182 187 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 2.0096e-02 sec\n", + "--- Collate = 1.6137e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.644955e-05 < 1.562500e-03 [96]\n", + "--- Max DT=3.934839e-01 > 1.000000e-01 [70828]\n", + "----------------------------------------------------------------------\n", + " Component | low: 96/100000\n", + " Component | high: 70828/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=94.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00221362 [ 0.40 %]\n", + "Velocity : 0.00576688 [ 1.04 %]\n", + "Force : 0.127605 [ 23.04 %]\n", + "Coefs : 0.0358243 [ 6.47 %]\n", + "Output : 0.00215504 [ 0.39 %]\n", + "Levels : 0.000117924 [ 0.02 %]\n", + "Report : 2.48e-07 [ 0.00 %]\n", + "Balance : 1.28e-07 [ 0.00 %]\n", + "Adjust : 0.380138 [ 68.63 %]\n", + "Total : 0.553888 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21844 2169 637 200 67 43 40 \n", + "1 : 21860 2175 604 193 81 42 45 \n", + "2 : 21898 2119 633 177 74 47 52 \n", + "3 : 21820 2215 601 197 68 49 50 \n", + "\n", + "T : 87422 8678 2475 767 290 181 187 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9991e-02 sec\n", + "--- Collate = 1.3692e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.015074e-05 < 1.562500e-03 [96]\n", + "--- Max DT=3.943155e-01 > 1.000000e-01 [70809]\n", + "----------------------------------------------------------------------\n", + " Component | low: 96/100000\n", + " Component | high: 70809/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=94.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00254288 [ 0.46 %]\n", + "Velocity : 0.00655762 [ 1.18 %]\n", + "Force : 0.127586 [ 22.97 %]\n", + "Coefs : 0.0361988 [ 6.52 %]\n", + "Output : 0.00208099 [ 0.37 %]\n", + "Levels : 0.000132838 [ 0.02 %]\n", + "Report : 2.63e-07 [ 0.00 %]\n", + "Balance : 1.36e-07 [ 0.00 %]\n", + "Adjust : 0.380211 [ 68.46 %]\n", + "Total : 0.555373 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21838 2164 636 207 73 39 43 \n", + "1 : 21856 2185 600 196 57 62 44 \n", + "2 : 21888 2126 620 192 70 54 50 \n", + "3 : 21812 2228 608 174 74 58 46 \n", + "\n", + "T : 87394 8703 2464 769 274 213 183 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 2.0211e-02 sec\n", + "--- Collate = 1.3976e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.118866e-05 < 1.562500e-03 [86]\n", + "--- Max DT=3.951386e-01 > 1.000000e-01 [70794]\n", + "----------------------------------------------------------------------\n", + " Component | low: 86/100000\n", + " Component | high: 70794/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=94.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00234085 [ 0.42 %]\n", + "Velocity : 0.00591936 [ 1.05 %]\n", + "Force : 0.129082 [ 22.91 %]\n", + "Coefs : 0.0369681 [ 6.56 %]\n", + "Output : 0.00210428 [ 0.37 %]\n", + "Levels : 0.000122472 [ 0.02 %]\n", + "Report : 2.5e-07 [ 0.00 %]\n", + "Balance : 1.4e-07 [ 0.00 %]\n", + "Adjust : 0.386829 [ 68.66 %]\n", + "Total : 0.563429 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21835 2167 628 213 66 54 37 \n", + "1 : 21831 2203 610 192 66 42 56 \n", + "2 : 21868 2144 629 188 66 62 43 \n", + "3 : 21805 2213 625 176 79 48 54 \n", + "\n", + "T : 87339 8727 2492 769 277 206 190 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.7976e-02 sec\n", + "--- Collate = 1.4867e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.510813e-05 < 1.562500e-03 [93]\n", + "--- Max DT=3.959535e-01 > 1.000000e-01 [70785]\n", + "----------------------------------------------------------------------\n", + " Component | low: 93/100000\n", + " Component | high: 70785/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=95] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0021501 [ 0.30 %]\n", + "Velocity : 0.00545861 [ 0.76 %]\n", + "Force : 0.127415 [ 17.75 %]\n", + "Coefs : 0.0365713 [ 5.09 %]\n", + "Output : 0.162407 [ 22.63 %]\n", + "Levels : 9.8971e-05 [ 0.01 %]\n", + "Report : 5.84e-07 [ 0.00 %]\n", + "Balance : 3.72e-07 [ 0.00 %]\n", + "Adjust : 0.38365 [ 53.45 %]\n", + "Total : 0.717815 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21844 2168 616 206 72 58 36 \n", + "1 : 21827 2211 613 183 69 44 53 \n", + "2 : 21838 2171 624 197 80 40 50 \n", + "3 : 21808 2207 635 171 75 55 49 \n", + "\n", + "T : 87317 8757 2488 757 296 197 188 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.8091e-02 sec\n", + "--- Collate = 1.1308e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.477310e-06 < 1.562500e-03 [99]\n", + "--- Max DT=3.967604e-01 > 1.000000e-01 [70754]\n", + "----------------------------------------------------------------------\n", + " Component | low: 99/100000\n", + " Component | high: 70754/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=95.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00175282 [ 0.32 %]\n", + "Velocity : 0.00716537 [ 1.30 %]\n", + "Force : 0.124949 [ 22.71 %]\n", + "Coefs : 0.0347539 [ 6.32 %]\n", + "Output : 0.00182518 [ 0.33 %]\n", + "Levels : 9.9777e-05 [ 0.02 %]\n", + "Report : 2.64e-07 [ 0.00 %]\n", + "Balance : 1.22e-07 [ 0.00 %]\n", + "Adjust : 0.379528 [ 68.99 %]\n", + "Total : 0.550129 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21839 2155 622 199 93 46 46 \n", + "1 : 21813 2219 610 190 68 47 53 \n", + "2 : 21844 2167 623 198 71 49 48 \n", + "3 : 21790 2214 643 171 79 46 57 \n", + "\n", + "T : 87286 8755 2498 758 311 188 204 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9809e-02 sec\n", + "--- Collate = 1.1809e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.310457e-06 < 1.562500e-03 [92]\n", + "--- Max DT=3.975590e-01 > 1.000000e-01 [70722]\n", + "----------------------------------------------------------------------\n", + " Component | low: 92/100000\n", + " Component | high: 70722/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=95.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0021259 [ 0.39 %]\n", + "Velocity : 0.00516069 [ 0.94 %]\n", + "Force : 0.125613 [ 22.83 %]\n", + "Coefs : 0.0347473 [ 6.32 %]\n", + "Output : 0.00179385 [ 0.33 %]\n", + "Levels : 8.6101e-05 [ 0.02 %]\n", + "Report : 2.77e-07 [ 0.00 %]\n", + "Balance : 1.1e-07 [ 0.00 %]\n", + "Adjust : 0.380534 [ 69.17 %]\n", + "Total : 0.550119 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21828 2174 619 180 97 48 54 \n", + "1 : 21817 2208 613 195 73 51 43 \n", + "2 : 21840 2164 633 201 58 54 50 \n", + "3 : 21785 2214 644 188 65 45 59 \n", + "\n", + "T : 87270 8760 2509 764 293 198 206 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9913e-02 sec\n", + "--- Collate = 9.7590e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.479278e-05 < 1.562500e-03 [105]\n", + "--- Max DT=3.983486e-01 > 1.000000e-01 [70710]\n", + "----------------------------------------------------------------------\n", + " Component | low: 105/100000\n", + " Component | high: 70710/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=95.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00211902 [ 0.38 %]\n", + "Velocity : 0.00560613 [ 1.01 %]\n", + "Force : 0.127477 [ 23.06 %]\n", + "Coefs : 0.0371122 [ 6.71 %]\n", + "Output : 0.00185918 [ 0.34 %]\n", + "Levels : 9.7436e-05 [ 0.02 %]\n", + "Report : 2.88e-07 [ 0.00 %]\n", + "Balance : 9.2e-08 [ 0.00 %]\n", + "Adjust : 0.378509 [ 68.47 %]\n", + "Total : 0.552836 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21829 2170 613 198 83 43 64 \n", + "1 : 21830 2180 634 192 78 48 38 \n", + "2 : 21832 2166 636 199 62 53 52 \n", + "3 : 21780 2224 637 182 71 49 57 \n", + "\n", + "T : 87271 8740 2520 771 294 193 211 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 2.0265e-02 sec\n", + "--- Collate = 1.2397e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.031288e-05 < 1.562500e-03 [94]\n", + "--- Max DT=3.991280e-01 > 1.000000e-01 [70712]\n", + "----------------------------------------------------------------------\n", + " Component | low: 94/100000\n", + " Component | high: 70712/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=95.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00188681 [ 0.34 %]\n", + "Velocity : 0.00556567 [ 1.00 %]\n", + "Force : 0.12679 [ 22.86 %]\n", + "Coefs : 0.0360202 [ 6.50 %]\n", + "Output : 0.00185086 [ 0.33 %]\n", + "Levels : 0.000101007 [ 0.02 %]\n", + "Report : 2.48e-07 [ 0.00 %]\n", + "Balance : 9.5e-08 [ 0.00 %]\n", + "Adjust : 0.382297 [ 68.94 %]\n", + "Total : 0.554569 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21812 2184 602 213 69 64 56 \n", + "1 : 21822 2178 643 194 82 45 36 \n", + "2 : 21829 2172 626 200 73 47 53 \n", + "3 : 21776 2223 647 180 64 60 50 \n", + "\n", + "T : 87239 8757 2518 787 288 216 195 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 2.0507e-02 sec\n", + "--- Collate = 1.6978e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.118527e-06 < 1.562500e-03 [82]\n", + "--- Max DT=3.998973e-01 > 1.000000e-01 [70693]\n", + "----------------------------------------------------------------------\n", + " Component | low: 82/100000\n", + " Component | high: 70693/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=95.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00203597 [ 0.34 %]\n", + "Velocity : 0.00657765 [ 1.10 %]\n", + "Force : 0.133867 [ 22.32 %]\n", + "Coefs : 0.0374374 [ 6.24 %]\n", + "Output : 0.00218708 [ 0.36 %]\n", + "Levels : 0.000144281 [ 0.02 %]\n", + "Report : 2.35e-07 [ 0.00 %]\n", + "Balance : 1.52e-07 [ 0.00 %]\n", + "Adjust : 0.417384 [ 69.60 %]\n", + "Total : 0.599702 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21809 2181 605 205 80 64 56 \n", + "1 : 21802 2184 659 181 80 53 41 \n", + "2 : 21817 2179 631 195 79 50 49 \n", + "3 : 21772 2227 646 177 68 56 54 \n", + "\n", + "T : 87200 8771 2541 758 307 223 200 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 2.0620e-02 sec\n", + "--- Collate = 1.5875e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.401152e-05 < 1.562500e-03 [102]\n", + "--- Max DT=4.006563e-01 > 1.000000e-01 [70675]\n", + "----------------------------------------------------------------------\n", + " Component | low: 102/100000\n", + " Component | high: 70675/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=95.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00226925 [ 0.39 %]\n", + "Velocity : 0.00633403 [ 1.09 %]\n", + "Force : 0.1328 [ 22.78 %]\n", + "Coefs : 0.037752 [ 6.47 %]\n", + "Output : 0.00207442 [ 0.36 %]\n", + "Levels : 0.000151971 [ 0.03 %]\n", + "Report : 2.32e-07 [ 0.00 %]\n", + "Balance : 1.72e-07 [ 0.00 %]\n", + "Adjust : 0.40162 [ 68.88 %]\n", + "Total : 0.583063 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21796 2195 593 207 92 52 65 \n", + "1 : 21802 2178 665 171 88 49 47 \n", + "2 : 21805 2194 624 196 84 51 46 \n", + "3 : 21750 2252 635 194 63 53 53 \n", + "\n", + "T : 87153 8819 2517 768 327 205 211 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 2.0269e-02 sec\n", + "--- Collate = 1.5357e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.900411e-06 < 1.562500e-03 [110]\n", + "--- Max DT=4.014052e-01 > 1.000000e-01 [70658]\n", + "----------------------------------------------------------------------\n", + " Component | low: 110/100000\n", + " Component | high: 70658/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=95.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00217664 [ 0.38 %]\n", + "Velocity : 0.00609714 [ 1.07 %]\n", + "Force : 0.131173 [ 22.94 %]\n", + "Coefs : 0.0383655 [ 6.71 %]\n", + "Output : 0.00214573 [ 0.38 %]\n", + "Levels : 0.00012382 [ 0.02 %]\n", + "Report : 2.76e-07 [ 0.00 %]\n", + "Balance : 1.61e-07 [ 0.00 %]\n", + "Adjust : 0.391714 [ 68.50 %]\n", + "Total : 0.571857 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21799 2192 593 206 91 61 58 \n", + "1 : 21794 2192 653 181 74 47 59 \n", + "2 : 21792 2210 620 196 86 53 43 \n", + "3 : 21750 2247 644 193 60 47 59 \n", + "\n", + "T : 87135 8841 2510 776 311 208 219 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 1.9009e-02 sec\n", + "--- Collate = 1.4134e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.824218e-07 < 1.562500e-03 [99]\n", + "--- Max DT=4.021443e-01 > 1.000000e-01 [70648]\n", + "----------------------------------------------------------------------\n", + " Component | low: 99/100000\n", + " Component | high: 70648/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=95.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00228426 [ 0.39 %]\n", + "Velocity : 0.0063939 [ 1.10 %]\n", + "Force : 0.13345 [ 23.01 %]\n", + "Coefs : 0.0380144 [ 6.55 %]\n", + "Output : 0.0021458 [ 0.37 %]\n", + "Levels : 0.00012764 [ 0.02 %]\n", + "Report : 4.16e-07 [ 0.00 %]\n", + "Balance : 1.31e-07 [ 0.00 %]\n", + "Adjust : 0.397564 [ 68.54 %]\n", + "Total : 0.580042 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21786 2203 585 218 89 65 54 \n", + "1 : 21803 2182 651 184 71 46 63 \n", + "2 : 21789 2213 623 197 77 54 47 \n", + "3 : 21749 2252 643 178 72 51 55 \n", + "\n", + "T : 87127 8850 2502 777 309 216 219 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 2.0483e-02 sec\n", + "--- Collate = 1.4169e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.084541e-06 < 1.562500e-03 [98]\n", + "--- Max DT=4.028740e-01 > 1.000000e-01 [70645]\n", + "----------------------------------------------------------------------\n", + " Component | low: 98/100000\n", + " Component | high: 70645/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=95.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00249782 [ 0.44 %]\n", + "Velocity : 0.00601073 [ 1.06 %]\n", + "Force : 0.12928 [ 22.71 %]\n", + "Coefs : 0.0364478 [ 6.40 %]\n", + "Output : 0.00205775 [ 0.36 %]\n", + "Levels : 0.000140017 [ 0.02 %]\n", + "Report : 2.17e-07 [ 0.00 %]\n", + "Balance : 1.42e-07 [ 0.00 %]\n", + "Adjust : 0.392647 [ 68.99 %]\n", + "Total : 0.569142 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21788 2184 606 212 99 58 53 \n", + "1 : 21804 2186 628 206 63 51 62 \n", + "2 : 21780 2205 639 198 83 41 54 \n", + "3 : 21737 2262 637 184 79 46 55 \n", + "\n", + "T : 87109 8837 2510 800 324 196 224 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9706e-02 sec\n", + "--- Collate = 1.0472e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.423281e-06 < 1.562500e-03 [98]\n", + "--- Max DT=4.035947e-01 > 1.000000e-01 [70624]\n", + "----------------------------------------------------------------------\n", + " Component | low: 98/100000\n", + " Component | high: 70624/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=96] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00206934 [ 0.30 %]\n", + "Velocity : 0.0057006 [ 0.81 %]\n", + "Force : 0.126948 [ 18.14 %]\n", + "Coefs : 0.0360289 [ 5.15 %]\n", + "Output : 0.147117 [ 21.02 %]\n", + "Levels : 0.000108674 [ 0.02 %]\n", + "Report : 6.51e-07 [ 0.00 %]\n", + "Balance : 2.88e-07 [ 0.00 %]\n", + "Adjust : 0.3817 [ 54.55 %]\n", + "Total : 0.699731 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21792 2178 595 224 93 65 53 \n", + "1 : 21798 2194 630 198 70 53 57 \n", + "2 : 21772 2212 630 207 71 53 55 \n", + "3 : 21718 2285 622 192 70 60 53 \n", + "\n", + "T : 87080 8869 2477 821 304 231 218 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9260e-02 sec\n", + "--- Collate = 9.8800e-06 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.739504e-05 < 1.562500e-03 [104]\n", + "--- Max DT=4.043071e-01 > 1.000000e-01 [70615]\n", + "----------------------------------------------------------------------\n", + " Component | low: 104/100000\n", + " Component | high: 70615/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=96.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00214996 [ 0.39 %]\n", + "Velocity : 0.00670713 [ 1.22 %]\n", + "Force : 0.124708 [ 22.76 %]\n", + "Coefs : 0.0355087 [ 6.48 %]\n", + "Output : 0.00181087 [ 0.33 %]\n", + "Levels : 0.000101692 [ 0.02 %]\n", + "Report : 1.99e-07 [ 0.00 %]\n", + "Balance : 9.4e-08 [ 0.00 %]\n", + "Adjust : 0.376826 [ 68.78 %]\n", + "Total : 0.547869 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21787 2168 610 224 96 59 56 \n", + "1 : 21788 2209 632 194 68 54 55 \n", + "2 : 21758 2235 621 210 68 54 54 \n", + "3 : 21705 2294 619 204 60 61 57 \n", + "\n", + "T : 87038 8906 2482 832 292 228 222 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 1.9146e-02 sec\n", + "--- Collate = 1.0607e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.477072e-07 < 1.562500e-03 [104]\n", + "--- Max DT=4.050112e-01 > 1.000000e-01 [70611]\n", + "----------------------------------------------------------------------\n", + " Component | low: 104/100000\n", + " Component | high: 70611/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=96.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00190908 [ 0.34 %]\n", + "Velocity : 0.00577469 [ 1.04 %]\n", + "Force : 0.128049 [ 23.13 %]\n", + "Coefs : 0.0367201 [ 6.63 %]\n", + "Output : 0.00180245 [ 0.33 %]\n", + "Levels : 0.000121842 [ 0.02 %]\n", + "Report : 2.58e-07 [ 0.00 %]\n", + "Balance : 8.3e-08 [ 0.00 %]\n", + "Adjust : 0.379237 [ 68.50 %]\n", + "Total : 0.55367 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21782 2171 615 213 102 57 60 \n", + "1 : 21798 2201 628 192 74 57 50 \n", + "2 : 21750 2220 648 213 61 56 52 \n", + "3 : 21704 2287 614 212 71 43 69 \n", + "\n", + "T : 87034 8879 2505 830 308 213 231 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9519e-02 sec\n", + "--- Collate = 1.1232e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.473723e-05 < 1.562500e-03 [103]\n", + "--- Max DT=4.057079e-01 > 1.000000e-01 [70593]\n", + "----------------------------------------------------------------------\n", + " Component | low: 103/100000\n", + " Component | high: 70593/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=96.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00197654 [ 0.36 %]\n", + "Velocity : 0.00559444 [ 1.01 %]\n", + "Force : 0.127172 [ 23.05 %]\n", + "Coefs : 0.0362201 [ 6.56 %]\n", + "Output : 0.00180693 [ 0.33 %]\n", + "Levels : 9.0674e-05 [ 0.02 %]\n", + "Report : 1.66e-07 [ 0.00 %]\n", + "Balance : 9.4e-08 [ 0.00 %]\n", + "Adjust : 0.378809 [ 68.66 %]\n", + "Total : 0.551727 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21782 2181 610 199 96 70 62 \n", + "1 : 21788 2219 613 207 77 54 42 \n", + "2 : 21755 2196 658 223 60 55 53 \n", + "3 : 21709 2269 625 214 66 57 60 \n", + "\n", + "T : 87034 8865 2506 843 299 236 217 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 2.0131e-02 sec\n", + "--- Collate = 1.1418e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.197145e-05 < 1.562500e-03 [97]\n", + "--- Max DT=4.063970e-01 > 1.000000e-01 [70581]\n", + "----------------------------------------------------------------------\n", + " Component | low: 97/100000\n", + " Component | high: 70581/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=96.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00193493 [ 0.35 %]\n", + "Velocity : 0.0055503 [ 1.01 %]\n", + "Force : 0.126266 [ 22.87 %]\n", + "Coefs : 0.0366588 [ 6.64 %]\n", + "Output : 0.00191252 [ 0.35 %]\n", + "Levels : 9.5328e-05 [ 0.02 %]\n", + "Report : 1.62e-07 [ 0.00 %]\n", + "Balance : 9.7e-08 [ 0.00 %]\n", + "Adjust : 0.379658 [ 68.76 %]\n", + "Total : 0.552137 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21789 2171 609 205 90 73 63 \n", + "1 : 21781 2237 605 211 69 54 43 \n", + "2 : 21764 2194 648 225 65 55 49 \n", + "3 : 21699 2258 634 215 78 57 59 \n", + "\n", + "T : 87033 8860 2496 856 302 239 214 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9603e-02 sec\n", + "--- Collate = 1.1796e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.776538e-06 < 1.562500e-03 [105]\n", + "--- Max DT=4.070793e-01 > 1.000000e-01 [70559]\n", + "----------------------------------------------------------------------\n", + " Component | low: 105/100000\n", + " Component | high: 70559/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=96.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00184537 [ 0.33 %]\n", + "Velocity : 0.00572715 [ 1.04 %]\n", + "Force : 0.126218 [ 22.84 %]\n", + "Coefs : 0.0364372 [ 6.59 %]\n", + "Output : 0.00185092 [ 0.33 %]\n", + "Levels : 9.7325e-05 [ 0.02 %]\n", + "Report : 1.78e-07 [ 0.00 %]\n", + "Balance : 9.8e-08 [ 0.00 %]\n", + "Adjust : 0.38041 [ 68.83 %]\n", + "Total : 0.552646 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21785 2165 619 213 79 74 65 \n", + "1 : 21776 2245 598 210 71 57 43 \n", + "2 : 21764 2190 647 224 76 49 50 \n", + "3 : 21709 2244 639 213 80 61 54 \n", + "\n", + "T : 87034 8844 2503 860 306 241 212 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 1.9622e-02 sec\n", + "--- Collate = 1.0481e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.744404e-06 < 1.562500e-03 [108]\n", + "--- Max DT=4.077537e-01 > 1.000000e-01 [70542]\n", + "----------------------------------------------------------------------\n", + " Component | low: 108/100000\n", + " Component | high: 70542/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=96.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00189837 [ 0.34 %]\n", + "Velocity : 0.00561599 [ 1.01 %]\n", + "Force : 0.12811 [ 23.09 %]\n", + "Coefs : 0.0371403 [ 6.69 %]\n", + "Output : 0.00183856 [ 0.33 %]\n", + "Levels : 0.000123218 [ 0.02 %]\n", + "Report : 1.8e-07 [ 0.00 %]\n", + "Balance : 1.22e-07 [ 0.00 %]\n", + "Adjust : 0.379967 [ 68.49 %]\n", + "Total : 0.55475 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21788 2148 633 214 88 58 71 \n", + "1 : 21772 2253 605 189 87 41 53 \n", + "2 : 21765 2188 648 222 93 39 45 \n", + "3 : 21695 2251 650 212 85 55 52 \n", + "\n", + "T : 87020 8840 2536 837 353 193 221 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 2.0179e-02 sec\n", + "--- Collate = 1.1552e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.190543e-05 < 1.562500e-03 [100]\n", + "--- Max DT=4.084193e-01 > 1.000000e-01 [70544]\n", + "----------------------------------------------------------------------\n", + " Component | low: 100/100000\n", + " Component | high: 70544/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=96.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00195485 [ 0.36 %]\n", + "Velocity : 0.005518 [ 1.00 %]\n", + "Force : 0.125567 [ 22.84 %]\n", + "Coefs : 0.0360656 [ 6.56 %]\n", + "Output : 0.00177418 [ 0.32 %]\n", + "Levels : 0.00013121 [ 0.02 %]\n", + "Report : 1.86e-07 [ 0.00 %]\n", + "Balance : 1.23e-07 [ 0.00 %]\n", + "Adjust : 0.378645 [ 68.88 %]\n", + "Total : 0.549713 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21792 2144 625 217 88 64 70 \n", + "1 : 21766 2264 607 184 69 63 47 \n", + "2 : 21753 2195 643 232 81 52 44 \n", + "3 : 21699 2248 649 214 79 51 60 \n", + "\n", + "T : 87010 8851 2524 847 317 230 221 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 2.0017e-02 sec\n", + "--- Collate = 1.3019e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.499001e-06 < 1.562500e-03 [100]\n", + "--- Max DT=4.090756e-01 > 1.000000e-01 [70545]\n", + "----------------------------------------------------------------------\n", + " Component | low: 100/100000\n", + " Component | high: 70545/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=96.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0020013 [ 0.36 %]\n", + "Velocity : 0.00530326 [ 0.96 %]\n", + "Force : 0.127138 [ 23.10 %]\n", + "Coefs : 0.0371314 [ 6.75 %]\n", + "Output : 0.00173191 [ 0.31 %]\n", + "Levels : 0.000106149 [ 0.02 %]\n", + "Report : 1.62e-07 [ 0.00 %]\n", + "Balance : 7.1e-08 [ 0.00 %]\n", + "Adjust : 0.376794 [ 68.47 %]\n", + "Total : 0.550266 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21784 2151 629 217 92 69 58 \n", + "1 : 21772 2240 634 181 58 57 58 \n", + "2 : 21754 2203 630 233 87 46 47 \n", + "3 : 21678 2270 654 219 62 60 57 \n", + "\n", + "T : 86988 8864 2547 850 299 232 220 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 1.9649e-02 sec\n", + "--- Collate = 1.0534e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.083035e-05 < 1.562500e-03 [95]\n", + "--- Max DT=4.097231e-01 > 1.000000e-01 [70517]\n", + "----------------------------------------------------------------------\n", + " Component | low: 95/100000\n", + " Component | high: 70517/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=96.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00191115 [ 0.35 %]\n", + "Velocity : 0.00520548 [ 0.94 %]\n", + "Force : 0.126789 [ 22.98 %]\n", + "Coefs : 0.0368411 [ 6.68 %]\n", + "Output : 0.00171743 [ 0.31 %]\n", + "Levels : 0.000144048 [ 0.03 %]\n", + "Report : 4.64e-07 [ 0.00 %]\n", + "Balance : 1.07e-07 [ 0.00 %]\n", + "Adjust : 0.379026 [ 68.70 %]\n", + "Total : 0.551687 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21778 2154 639 215 92 74 48 \n", + "1 : 21763 2244 628 194 64 52 55 \n", + "2 : 21753 2187 645 231 91 42 51 \n", + "3 : 21682 2269 656 205 73 51 64 \n", + "\n", + "T : 86976 8854 2568 845 320 219 218 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 1.9214e-02 sec\n", + "--- Collate = 1.1781e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.077476e-06 < 1.562500e-03 [106]\n", + "--- Max DT=4.103625e-01 > 1.000000e-01 [70497]\n", + "----------------------------------------------------------------------\n", + " Component | low: 106/100000\n", + " Component | high: 70497/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=97] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00190703 [ 0.28 %]\n", + "Velocity : 0.00552039 [ 0.80 %]\n", + "Force : 0.12862 [ 18.70 %]\n", + "Coefs : 0.0369309 [ 5.37 %]\n", + "Output : 0.13327 [ 19.37 %]\n", + "Levels : 9.8548e-05 [ 0.01 %]\n", + "Report : 2.06e-07 [ 0.00 %]\n", + "Balance : 2.49e-07 [ 0.00 %]\n", + "Adjust : 0.381585 [ 55.46 %]\n", + "Total : 0.687989 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21777 2160 643 206 102 59 53 \n", + "1 : 21780 2212 639 195 70 48 56 \n", + "2 : 21756 2171 654 241 78 49 51 \n", + "3 : 21666 2282 649 202 80 67 54 \n", + "\n", + "T : 86979 8825 2585 844 330 223 214 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 1.9802e-02 sec\n", + "--- Collate = 1.2228e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.175949e-05 < 1.562500e-03 [103]\n", + "--- Max DT=4.109941e-01 > 1.000000e-01 [70465]\n", + "----------------------------------------------------------------------\n", + " Component | low: 103/100000\n", + " Component | high: 70465/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=97.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00177622 [ 0.32 %]\n", + "Velocity : 0.00539709 [ 0.97 %]\n", + "Force : 0.125862 [ 22.73 %]\n", + "Coefs : 0.0439695 [ 7.94 %]\n", + "Output : 0.00180816 [ 0.33 %]\n", + "Levels : 0.000108744 [ 0.02 %]\n", + "Report : 1.75e-07 [ 0.00 %]\n", + "Balance : 9e-08 [ 0.00 %]\n", + "Adjust : 0.374802 [ 67.68 %]\n", + "Total : 0.553786 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21767 2174 650 209 81 57 62 \n", + "1 : 21767 2212 648 207 69 47 50 \n", + "2 : 21748 2180 651 240 78 58 45 \n", + "3 : 21657 2290 659 204 67 66 57 \n", + "\n", + "T : 86939 8856 2608 860 295 228 214 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 1.9602e-02 sec\n", + "--- Collate = 1.1764e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.001053e-06 < 1.562500e-03 [88]\n", + "--- Max DT=4.116183e-01 > 1.000000e-01 [70463]\n", + "----------------------------------------------------------------------\n", + " Component | low: 88/100000\n", + " Component | high: 70463/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=97.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00216859 [ 0.38 %]\n", + "Velocity : 0.00579702 [ 1.02 %]\n", + "Force : 0.131432 [ 23.15 %]\n", + "Coefs : 0.0382944 [ 6.74 %]\n", + "Output : 0.00190925 [ 0.34 %]\n", + "Levels : 9.7192e-05 [ 0.02 %]\n", + "Report : 7.3e-08 [ 0.00 %]\n", + "Balance : 9.8e-08 [ 0.00 %]\n", + "Adjust : 0.388095 [ 68.34 %]\n", + "Total : 0.567858 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21752 2185 663 195 83 59 63 \n", + "1 : 21769 2199 654 214 73 44 47 \n", + "2 : 21753 2175 653 233 83 58 45 \n", + "3 : 21660 2286 659 210 75 51 59 \n", + "\n", + "T : 86934 8845 2629 852 314 212 214 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 1.9464e-02 sec\n", + "--- Collate = 1.0357e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.682757e-05 < 1.562500e-03 [103]\n", + "--- Max DT=4.122345e-01 > 1.000000e-01 [70449]\n", + "----------------------------------------------------------------------\n", + " Component | low: 103/100000\n", + " Component | high: 70449/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=97.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0018256 [ 0.33 %]\n", + "Velocity : 0.00514648 [ 0.94 %]\n", + "Force : 0.126818 [ 23.17 %]\n", + "Coefs : 0.036476 [ 6.66 %]\n", + "Output : 0.00184294 [ 0.34 %]\n", + "Levels : 0.000132642 [ 0.02 %]\n", + "Report : 2.06e-07 [ 0.00 %]\n", + "Balance : 1.03e-07 [ 0.00 %]\n", + "Adjust : 0.374999 [ 68.52 %]\n", + "Total : 0.547305 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21746 2190 661 205 76 54 68 \n", + "1 : 21771 2194 645 231 65 53 41 \n", + "2 : 21747 2183 653 224 94 48 51 \n", + "3 : 21658 2283 668 198 84 56 53 \n", + "\n", + "T : 86922 8850 2627 858 319 211 213 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 1.9686e-02 sec\n", + "--- Collate = 1.0306e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.838983e-06 < 1.562500e-03 [93]\n", + "--- Max DT=4.128430e-01 > 1.000000e-01 [70432]\n", + "----------------------------------------------------------------------\n", + " Component | low: 93/100000\n", + " Component | high: 70432/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=97.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00193745 [ 0.36 %]\n", + "Velocity : 0.00530742 [ 0.97 %]\n", + "Force : 0.125839 [ 23.06 %]\n", + "Coefs : 0.0365425 [ 6.70 %]\n", + "Output : 0.00182643 [ 0.33 %]\n", + "Levels : 9.1427e-05 [ 0.02 %]\n", + "Report : 1.79e-07 [ 0.00 %]\n", + "Balance : 1.19e-07 [ 0.00 %]\n", + "Adjust : 0.374038 [ 68.55 %]\n", + "Total : 0.545642 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21741 2188 664 211 79 57 60 \n", + "1 : 21775 2192 640 233 74 46 40 \n", + "2 : 21738 2184 662 222 86 58 50 \n", + "3 : 21659 2284 669 198 84 62 44 \n", + "\n", + "T : 86913 8848 2635 864 323 223 194 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 1.9222e-02 sec\n", + "--- Collate = 1.2446e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.921904e-07 < 1.562500e-03 [85]\n", + "--- Max DT=4.134432e-01 > 1.000000e-01 [70407]\n", + "----------------------------------------------------------------------\n", + " Component | low: 85/100000\n", + " Component | high: 70407/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=97.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00185555 [ 0.34 %]\n", + "Velocity : 0.00676765 [ 1.24 %]\n", + "Force : 0.126217 [ 23.09 %]\n", + "Coefs : 0.0366426 [ 6.70 %]\n", + "Output : 0.00186488 [ 0.34 %]\n", + "Levels : 9.2184e-05 [ 0.02 %]\n", + "Report : 2.07e-07 [ 0.00 %]\n", + "Balance : 1.3e-07 [ 0.00 %]\n", + "Adjust : 0.373156 [ 68.26 %]\n", + "Total : 0.546654 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21747 2168 686 198 78 64 59 \n", + "1 : 21782 2184 642 230 81 45 36 \n", + "2 : 21723 2199 653 229 83 58 55 \n", + "3 : 21650 2294 653 209 90 59 45 \n", + "\n", + "T : 86902 8845 2634 866 332 226 195 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9817e-02 sec\n", + "--- Collate = 1.1876e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.944331e-08 < 1.562500e-03 [111]\n", + "--- Max DT=4.140358e-01 > 1.000000e-01 [70392]\n", + "----------------------------------------------------------------------\n", + " Component | low: 111/100000\n", + " Component | high: 70392/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=97.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00192052 [ 0.35 %]\n", + "Velocity : 0.00528793 [ 0.97 %]\n", + "Force : 0.126213 [ 23.13 %]\n", + "Coefs : 0.0363391 [ 6.66 %]\n", + "Output : 0.00178655 [ 0.33 %]\n", + "Levels : 8.9644e-05 [ 0.02 %]\n", + "Report : 1.7e-07 [ 0.00 %]\n", + "Balance : 9.3e-08 [ 0.00 %]\n", + "Adjust : 0.373957 [ 68.53 %]\n", + "Total : 0.545658 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21746 2167 680 218 66 61 62 \n", + "1 : 21782 2172 653 233 73 47 40 \n", + "2 : 21721 2199 660 216 97 40 67 \n", + "3 : 21636 2299 654 216 90 59 46 \n", + "\n", + "T : 86885 8837 2647 883 326 207 215 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 1.9149e-02 sec\n", + "--- Collate = 1.0104e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.997134e-05 < 1.562500e-03 [102]\n", + "--- Max DT=4.146203e-01 > 1.000000e-01 [70385]\n", + "----------------------------------------------------------------------\n", + " Component | low: 102/100000\n", + " Component | high: 70385/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=97.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00206208 [ 0.38 %]\n", + "Velocity : 0.00555844 [ 1.01 %]\n", + "Force : 0.127289 [ 23.23 %]\n", + "Coefs : 0.0367151 [ 6.70 %]\n", + "Output : 0.00182033 [ 0.33 %]\n", + "Levels : 0.000108085 [ 0.02 %]\n", + "Report : 1.74e-07 [ 0.00 %]\n", + "Balance : 1.13e-07 [ 0.00 %]\n", + "Adjust : 0.374237 [ 68.31 %]\n", + "Total : 0.54785 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21752 2155 684 226 62 56 65 \n", + "1 : 21785 2172 649 222 76 56 40 \n", + "2 : 21718 2194 665 211 88 65 59 \n", + "3 : 21632 2300 658 221 84 46 59 \n", + "\n", + "T : 86887 8821 2656 880 310 223 223 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 1.9775e-02 sec\n", + "--- Collate = 1.0121e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.020674e-05 < 1.562500e-03 [98]\n", + "--- Max DT=4.151972e-01 > 1.000000e-01 [70374]\n", + "----------------------------------------------------------------------\n", + " Component | low: 98/100000\n", + " Component | high: 70374/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=97.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00196568 [ 0.36 %]\n", + "Velocity : 0.00541918 [ 0.99 %]\n", + "Force : 0.12805 [ 23.29 %]\n", + "Coefs : 0.0368467 [ 6.70 %]\n", + "Output : 0.00186776 [ 0.34 %]\n", + "Levels : 0.000109193 [ 0.02 %]\n", + "Report : 1.6e-07 [ 0.00 %]\n", + "Balance : 1.26e-07 [ 0.00 %]\n", + "Adjust : 0.375566 [ 68.30 %]\n", + "Total : 0.549884 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21747 2159 692 225 68 42 67 \n", + "1 : 21786 2170 643 231 76 41 53 \n", + "2 : 21714 2204 659 223 77 62 61 \n", + "3 : 21625 2312 653 221 80 52 57 \n", + "\n", + "T : 86872 8845 2647 900 301 197 238 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 1.9627e-02 sec\n", + "--- Collate = 1.1070e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.907125e-06 < 1.562500e-03 [111]\n", + "--- Max DT=4.157670e-01 > 1.000000e-01 [70367]\n", + "----------------------------------------------------------------------\n", + " Component | low: 111/100000\n", + " Component | high: 70367/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=97.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00193457 [ 0.35 %]\n", + "Velocity : 0.00514802 [ 0.93 %]\n", + "Force : 0.128563 [ 23.30 %]\n", + "Coefs : 0.0378834 [ 6.87 %]\n", + "Output : 0.00183891 [ 0.33 %]\n", + "Levels : 0.000137678 [ 0.02 %]\n", + "Report : 1.79e-07 [ 0.00 %]\n", + "Balance : 1.17e-07 [ 0.00 %]\n", + "Adjust : 0.37608 [ 68.17 %]\n", + "Total : 0.551663 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21741 2179 669 227 78 53 53 \n", + "1 : 21782 2177 648 224 77 33 59 \n", + "2 : 21706 2218 651 215 77 81 52 \n", + "3 : 21618 2308 653 228 72 64 57 \n", + "\n", + "T : 86847 8882 2621 894 304 231 221 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 1.9894e-02 sec\n", + "--- Collate = 1.3563e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.151112e-06 < 1.562500e-03 [98]\n", + "--- Max DT=4.163291e-01 > 1.000000e-01 [70342]\n", + "----------------------------------------------------------------------\n", + " Component | low: 98/100000\n", + " Component | high: 70342/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=98] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00181649 [ 0.27 %]\n", + "Velocity : 0.005515 [ 0.82 %]\n", + "Force : 0.127662 [ 19.06 %]\n", + "Coefs : 0.0374058 [ 5.58 %]\n", + "Output : 0.120756 [ 18.03 %]\n", + "Levels : 0.000154232 [ 0.02 %]\n", + "Report : 4.89e-07 [ 0.00 %]\n", + "Balance : 2.91e-07 [ 0.00 %]\n", + "Adjust : 0.376414 [ 56.20 %]\n", + "Total : 0.669781 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21746 2180 657 237 79 57 44 \n", + "1 : 21778 2184 635 231 68 47 57 \n", + "2 : 21695 2231 652 210 83 69 60 \n", + "3 : 21626 2300 648 224 85 57 60 \n", + "\n", + "T : 86845 8895 2592 902 315 230 221 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 1.9252e-02 sec\n", + "--- Collate = 1.3499e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.596900e-05 < 1.562500e-03 [109]\n", + "--- Max DT=4.168842e-01 > 1.000000e-01 [70309]\n", + "----------------------------------------------------------------------\n", + " Component | low: 109/100000\n", + " Component | high: 70309/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=98.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00191473 [ 0.34 %]\n", + "Velocity : 0.00698721 [ 1.23 %]\n", + "Force : 0.126223 [ 22.30 %]\n", + "Coefs : 0.0515292 [ 9.10 %]\n", + "Output : 0.00186859 [ 0.33 %]\n", + "Levels : 0.000116913 [ 0.02 %]\n", + "Report : 2.43e-07 [ 0.00 %]\n", + "Balance : 1.42e-07 [ 0.00 %]\n", + "Adjust : 0.377347 [ 66.66 %]\n", + "Total : 0.566048 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21744 2180 664 230 81 54 47 \n", + "1 : 21781 2181 623 240 70 53 52 \n", + "2 : 21693 2232 648 207 90 71 59 \n", + "3 : 21629 2298 642 243 72 55 61 \n", + "\n", + "T : 86847 8891 2577 920 313 233 219 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 1.9453e-02 sec\n", + "--- Collate = 1.3417e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.769061e-07 < 1.562500e-03 [103]\n", + "--- Max DT=4.174318e-01 > 1.000000e-01 [70278]\n", + "----------------------------------------------------------------------\n", + " Component | low: 103/100000\n", + " Component | high: 70278/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=98.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00224686 [ 0.40 %]\n", + "Velocity : 0.00631067 [ 1.12 %]\n", + "Force : 0.127419 [ 22.61 %]\n", + "Coefs : 0.0369816 [ 6.56 %]\n", + "Output : 0.00210525 [ 0.37 %]\n", + "Levels : 0.00011671 [ 0.02 %]\n", + "Report : 2.25e-07 [ 0.00 %]\n", + "Balance : 1.2e-07 [ 0.00 %]\n", + "Adjust : 0.388396 [ 68.91 %]\n", + "Total : 0.563643 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21732 2190 665 234 79 45 55 \n", + "1 : 21770 2189 639 206 90 60 46 \n", + "2 : 21684 2239 645 207 98 61 66 \n", + "3 : 21621 2285 661 233 82 61 57 \n", + "\n", + "T : 86807 8903 2610 880 349 227 224 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 1.9460e-02 sec\n", + "--- Collate = 1.3088e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.955076e-07 < 1.562500e-03 [104]\n", + "--- Max DT=4.179719e-01 > 1.000000e-01 [70233]\n", + "----------------------------------------------------------------------\n", + " Component | low: 104/100000\n", + " Component | high: 70233/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=98.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00236597 [ 0.42 %]\n", + "Velocity : 0.0060292 [ 1.08 %]\n", + "Force : 0.127145 [ 22.70 %]\n", + "Coefs : 0.0361964 [ 6.46 %]\n", + "Output : 0.00213616 [ 0.38 %]\n", + "Levels : 0.000123074 [ 0.02 %]\n", + "Report : 2.22e-07 [ 0.00 %]\n", + "Balance : 1.36e-07 [ 0.00 %]\n", + "Adjust : 0.386162 [ 68.93 %]\n", + "Total : 0.560227 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21718 2204 674 218 80 51 55 \n", + "1 : 21756 2199 646 198 102 43 56 \n", + "2 : 21676 2234 655 207 98 72 58 \n", + "3 : 21615 2290 675 216 85 59 60 \n", + "\n", + "T : 86765 8927 2650 839 365 225 229 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 1.9835e-02 sec\n", + "--- Collate = 1.3874e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.989477e-06 < 1.562500e-03 [111]\n", + "--- Max DT=4.185051e-01 > 1.000000e-01 [70229]\n", + "----------------------------------------------------------------------\n", + " Component | low: 111/100000\n", + " Component | high: 70229/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=98.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00227969 [ 0.41 %]\n", + "Velocity : 0.00610424 [ 1.09 %]\n", + "Force : 0.126921 [ 22.66 %]\n", + "Coefs : 0.0370037 [ 6.61 %]\n", + "Output : 0.00206644 [ 0.37 %]\n", + "Levels : 0.000132087 [ 0.02 %]\n", + "Report : 2.53e-07 [ 0.00 %]\n", + "Balance : 1.29e-07 [ 0.00 %]\n", + "Adjust : 0.38546 [ 68.83 %]\n", + "Total : 0.560033 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21701 2220 679 206 82 60 52 \n", + "1 : 21763 2199 631 210 94 54 49 \n", + "2 : 21674 2232 653 207 102 65 67 \n", + "3 : 21606 2291 678 217 85 66 57 \n", + "\n", + "T : 86744 8942 2641 840 363 245 225 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 2.0026e-02 sec\n", + "--- Collate = 1.3644e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.066316e-09 < 1.562500e-03 [99]\n", + "--- Max DT=4.190317e-01 > 1.000000e-01 [70220]\n", + "----------------------------------------------------------------------\n", + " Component | low: 99/100000\n", + " Component | high: 70220/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=98.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00236841 [ 0.42 %]\n", + "Velocity : 0.00617012 [ 1.08 %]\n", + "Force : 0.129346 [ 22.72 %]\n", + "Coefs : 0.0374721 [ 6.58 %]\n", + "Output : 0.00209126 [ 0.37 %]\n", + "Levels : 0.0001192 [ 0.02 %]\n", + "Report : 2.69e-07 [ 0.00 %]\n", + "Balance : 2.03e-07 [ 0.00 %]\n", + "Adjust : 0.391664 [ 68.80 %]\n", + "Total : 0.569298 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21680 2243 669 213 72 69 54 \n", + "1 : 21752 2204 627 215 82 69 51 \n", + "2 : 21667 2250 644 213 94 56 76 \n", + "3 : 21612 2279 678 220 81 63 67 \n", + "\n", + "976 2618 861 329 257 248 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 2.0129e-02 sec\n", + "--- Collate = 1.4177e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.290085e-06 < 1.562500e-03 [119]\n", + "--- Max DT=4.195525e-01 > 1.000000e-01 [70206]\n", + "----------------------------------------------------------------------\n", + " Component | low: 119/100000\n", + " Component | high: 70206/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=98.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00259474 [ 0.46 %]\n", + "Velocity : 0.00625034 [ 1.11 %]\n", + "Force : 0.127144 [ 22.64 %]\n", + "Coefs : 0.0372007 [ 6.62 %]\n", + "Output : 0.00208337 [ 0.37 %]\n", + "Levels : 0.000118291 [ 0.02 %]\n", + "Report : 2.84e-07 [ 0.00 %]\n", + "Balance : 2.13e-07 [ 0.00 %]\n", + "Adjust : 0.386199 [ 68.76 %]\n", + "Total : 0.561656 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21671 2254 657 212 91 63 52 \n", + "1 : 21742 2200 623 233 82 65 55 \n", + "2 : 21653 2263 643 220 85 69 67 \n", + "3 : 21600 2284 684 209 88 73 62 \n", + "\n", + "T : 86666 9001 2607 874 346 270 236 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 2.0226e-02 sec\n", + "--- Collate = 1.4410e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.378551e-06 < 1.562500e-03 [129]\n", + "--- Max DT=4.200674e-01 > 1.000000e-01 [70175]\n", + "----------------------------------------------------------------------\n", + " Component | low: 129/100000\n", + " Component | high: 70175/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=98.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00243021 [ 0.43 %]\n", + "Velocity : 0.006425 [ 1.13 %]\n", + "Force : 0.129097 [ 22.77 %]\n", + "Coefs : 0.0377543 [ 6.66 %]\n", + "Output : 0.0021159 [ 0.37 %]\n", + "Levels : 0.000131366 [ 0.02 %]\n", + "Report : 2.41e-07 [ 0.00 %]\n", + "Balance : 1.28e-07 [ 0.00 %]\n", + "Adjust : 0.388955 [ 68.60 %]\n", + "Total : 0.566974 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21672 2250 664 207 85 61 61 \n", + "1 : 21743 2189 637 224 86 58 63 \n", + "2 : 21659 2258 649 212 83 71 68 \n", + "3 : 21589 2296 686 198 100 62 69 \n", + "\n", + "T : 86663 8993 2636 841 354 252 261 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 1.9543e-02 sec\n", + "--- Collate = 1.4247e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.956168e-06 < 1.562500e-03 [123]\n", + "--- Max DT=4.205769e-01 > 1.000000e-01 [70142]\n", + "----------------------------------------------------------------------\n", + " Component | low: 123/100000\n", + " Component | high: 70142/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=98.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00242555 [ 0.43 %]\n", + "Velocity : 0.00624402 [ 1.11 %]\n", + "Force : 0.128977 [ 22.91 %]\n", + "Coefs : 0.037503 [ 6.66 %]\n", + "Output : 0.00206142 [ 0.37 %]\n", + "Levels : 0.000118836 [ 0.02 %]\n", + "Report : 2.53e-07 [ 0.00 %]\n", + "Balance : 1.31e-07 [ 0.00 %]\n", + "Adjust : 0.385607 [ 68.49 %]\n", + "Total : 0.562998 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21666 2265 646 214 89 51 69 \n", + "1 : 21735 2199 629 232 85 49 71 \n", + "2 : 21645 2269 647 217 88 72 62 \n", + "3 : 21590 2293 676 209 97 64 71 \n", + "\n", + "T : 86636 9026 2598 872 359 236 273 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 1.9388e-02 sec\n", + "--- Collate = 1.3131e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.182639e-06 < 1.562500e-03 [119]\n", + "--- Max DT=4.210798e-01 > 1.000000e-01 [70139]\n", + "----------------------------------------------------------------------\n", + " Component | low: 119/100000\n", + " Component | high: 70139/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=98.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00281986 [ 0.50 %]\n", + "Velocity : 0.00695994 [ 1.23 %]\n", + "Force : 0.129127 [ 22.87 %]\n", + "Coefs : 0.0378047 [ 6.69 %]\n", + "Output : 0.00209698 [ 0.37 %]\n", + "Levels : 0.000117117 [ 0.02 %]\n", + "Report : 4.53e-07 [ 0.00 %]\n", + "Balance : 1.34e-07 [ 0.00 %]\n", + "Adjust : 0.385714 [ 68.30 %]\n", + "Total : 0.564704 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21667 2256 650 208 92 62 65 \n", + "1 : 21734 2200 635 219 81 65 66 \n", + "2 : 21630 2293 644 206 97 67 63 \n", + "3 : 21584 2296 677 212 85 70 76 \n", + "\n", + "T : 86615 9045 2606 845 355 264 270 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 1.9832e-02 sec\n", + "--- Collate = 1.3644e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.492304e-05 < 1.562500e-03 [114]\n", + "--- Max DT=4.215760e-01 > 1.000000e-01 [70121]\n", + "----------------------------------------------------------------------\n", + " Component | low: 114/100000\n", + " Component | high: 70121/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=99] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00245227 [ 0.35 %]\n", + "Velocity : 0.00615928 [ 0.88 %]\n", + "Force : 0.128677 [ 18.48 %]\n", + "Coefs : 0.0380658 [ 5.47 %]\n", + "Output : 0.135528 [ 19.46 %]\n", + "Levels : 0.000118855 [ 0.02 %]\n", + "Report : 5.16e-07 [ 0.00 %]\n", + "Balance : 3.09e-07 [ 0.00 %]\n", + "Adjust : 0.385386 [ 55.34 %]\n", + "Total : 0.696451 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21674 2237 666 202 93 67 61 \n", + "1 : 21720 2218 619 226 85 70 62 \n", + "2 : 21635 2289 629 232 90 70 55 \n", + "3 : 21576 2313 676 197 97 77 64 \n", + "\n", + "T : 86605 9057 2590 857 365 284 242 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 1.9965e-02 sec\n", + "--- Collate = 1.3521e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.079952e-06 < 1.562500e-03 [105]\n", + "--- Max DT=4.220654e-01 > 1.000000e-01 [70114]\n", + "----------------------------------------------------------------------\n", + " Component | low: 105/100000\n", + " Component | high: 70114/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=99.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00259237 [ 0.46 %]\n", + "Velocity : 0.0071274 [ 1.27 %]\n", + "Force : 0.126413 [ 22.60 %]\n", + "Coefs : 0.0369806 [ 6.61 %]\n", + "Output : 0.00201222 [ 0.36 %]\n", + "Levels : 0.000129545 [ 0.02 %]\n", + "Report : 2.41e-07 [ 0.00 %]\n", + "Balance : 1.26e-07 [ 0.00 %]\n", + "Adjust : 0.384018 [ 68.66 %]\n", + "Total : 0.559341 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21665 2247 662 204 85 84 53 \n", + "1 : 21717 2225 601 237 84 78 58 \n", + "2 : 21644 2290 629 224 94 55 64 \n", + "3 : 21580 2324 661 197 103 65 70 \n", + "\n", + "T : 86606 9086 2553 862 366 282 245 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 1.9786e-02 sec\n", + "--- Collate = 1.3766e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.059581e-05 < 1.562500e-03 [123]\n", + "--- Max DT=4.225481e-01 > 1.000000e-01 [70105]\n", + "----------------------------------------------------------------------\n", + " Component | low: 123/100000\n", + " Component | high: 70105/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=99.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00254122 [ 0.43 %]\n", + "Velocity : 0.00707728 [ 1.19 %]\n", + "Force : 0.132889 [ 22.41 %]\n", + "Coefs : 0.0388392 [ 6.55 %]\n", + "Output : 0.00236954 [ 0.40 %]\n", + "Levels : 0.000117687 [ 0.02 %]\n", + "Report : 2.36e-07 [ 0.00 %]\n", + "Balance : 1.44e-07 [ 0.00 %]\n", + "Adjust : 0.409148 [ 68.99 %]\n", + "Total : 0.593053 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21655 2270 658 198 89 69 61 \n", + "1 : 21721 2215 599 241 88 61 75 \n", + "2 : 21643 2291 637 219 85 65 60 \n", + "3 : 21586 2321 648 209 89 86 61 \n", + "\n", + "T : 86605 9097 2542 867 351 281 257 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 1.9883e-02 sec\n", + "--- Collate = 1.3286e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.993591e-06 < 1.562500e-03 [137]\n", + "--- Max DT=4.230232e-01 > 1.000000e-01 [70076]\n", + "----------------------------------------------------------------------\n", + " Component | low: 137/100000\n", + " Component | high: 70076/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=99.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00243847 [ 0.43 %]\n", + "Velocity : 0.00627529 [ 1.12 %]\n", + "Force : 0.128093 [ 22.76 %]\n", + "Coefs : 0.038301 [ 6.81 %]\n", + "Output : 0.00205987 [ 0.37 %]\n", + "Levels : 0.000115225 [ 0.02 %]\n", + "Report : 2.35e-07 [ 0.00 %]\n", + "Balance : 1.23e-07 [ 0.00 %]\n", + "Adjust : 0.385452 [ 68.49 %]\n", + "Total : 0.562797 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21643 2273 672 199 81 74 58 \n", + "1 : 21725 2198 616 227 103 55 76 \n", + "2 : 21634 2296 645 214 86 64 61 \n", + "3 : 21583 2313 655 222 84 75 68 \n", + "\n", + "T : 86585 9080 2588 862 354 268 263 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 1.9843e-02 sec\n", + "--- Collate = 1.3911e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.759619e-06 < 1.562500e-03 [124]\n", + "--- Max DT=4.234912e-01 > 1.000000e-01 [70049]\n", + "----------------------------------------------------------------------\n", + " Component | low: 124/100000\n", + " Component | high: 70049/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=99.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00241199 [ 0.43 %]\n", + "Velocity : 0.00621414 [ 1.10 %]\n", + "Force : 0.12922 [ 22.89 %]\n", + "Coefs : 0.0381951 [ 6.77 %]\n", + "Output : 0.0020818 [ 0.37 %]\n", + "Levels : 0.000116314 [ 0.02 %]\n", + "Report : 4.76e-07 [ 0.00 %]\n", + "Balance : 1.43e-07 [ 0.00 %]\n", + "Adjust : 0.38619 [ 68.41 %]\n", + "Total : 0.564497 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21625 2302 650 209 83 73 58 \n", + "1 : 21724 2194 612 227 108 63 72 \n", + "2 : 21637 2283 652 217 86 63 62 \n", + "3 : 21592 2308 649 219 83 67 82 \n", + "\n", + "T : 86578 9087 2563 872 360 266 274 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 1.9241e-02 sec\n", + "--- Collate = 1.3473e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.999797e-06 < 1.562500e-03 [115]\n", + "--- Max DT=4.239520e-01 > 1.000000e-01 [70016]\n", + "----------------------------------------------------------------------\n", + " Component | low: 115/100000\n", + " Component | high: 70016/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=99.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00228724 [ 0.41 %]\n", + "Velocity : 0.00648438 [ 1.15 %]\n", + "Force : 0.129478 [ 22.98 %]\n", + "Coefs : 0.0384671 [ 6.83 %]\n", + "Output : 0.00207329 [ 0.37 %]\n", + "Levels : 0.000129799 [ 0.02 %]\n", + "Report : 2.45e-07 [ 0.00 %]\n", + "Balance : 1.54e-07 [ 0.00 %]\n", + "Adjust : 0.384528 [ 68.24 %]\n", + "Total : 0.563512 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21622 2304 652 206 85 68 63 \n", + "1 : 21715 2207 600 244 94 77 63 \n", + "2 : 21633 2284 675 207 75 65 61 \n", + "3 : 21584 2324 645 214 75 75 83 \n", + "\n", + "T : 86554 9119 2572 871 329 285 270 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 1.9627e-02 sec\n", + "--- Collate = 1.4246e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.813171e-05 < 1.562500e-03 [129]\n", + "--- Max DT=4.244063e-01 > 1.000000e-01 [69981]\n", + "----------------------------------------------------------------------\n", + " Component | low: 129/100000\n", + " Component | high: 69981/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=99.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00224224 [ 0.40 %]\n", + "Velocity : 0.00641169 [ 1.14 %]\n", + "Force : 0.129866 [ 23.00 %]\n", + "Coefs : 0.0382218 [ 6.77 %]\n", + "Output : 0.00204502 [ 0.36 %]\n", + "Levels : 0.000136046 [ 0.02 %]\n", + "Report : 2.42e-07 [ 0.00 %]\n", + "Balance : 1.38e-07 [ 0.00 %]\n", + "Adjust : 0.385681 [ 68.30 %]\n", + "Total : 0.564665 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21622 2304 647 217 81 68 61 \n", + "1 : 21695 2204 635 229 98 76 63 \n", + "2 : 21628 2278 688 203 92 52 59 \n", + "3 : 21576 2331 646 214 86 67 80 \n", + "\n", + "T : 86521 9117 2616 863 357 263 263 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.9330e-02 sec\n", + "--- Collate = 1.3080e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.003197e-07 < 1.562500e-03 [125]\n", + "--- Max DT=4.248547e-01 > 1.000000e-01 [69968]\n", + "----------------------------------------------------------------------\n", + " Component | low: 125/100000\n", + " Component | high: 69968/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=99.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00227667 [ 0.40 %]\n", + "Velocity : 0.00614206 [ 1.09 %]\n", + "Force : 0.129185 [ 22.93 %]\n", + "Coefs : 0.0381961 [ 6.78 %]\n", + "Output : 0.00204118 [ 0.36 %]\n", + "Levels : 0.000130915 [ 0.02 %]\n", + "Report : 2.29e-07 [ 0.00 %]\n", + "Balance : 1.25e-07 [ 0.00 %]\n", + "Adjust : 0.385441 [ 68.40 %]\n", + "Total : 0.563476 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21624 2301 652 211 86 58 68 \n", + "1 : 21692 2208 642 216 102 73 67 \n", + "2 : 21618 2300 681 204 91 49 57 \n", + "3 : 21570 2347 632 221 80 79 71 \n", + "\n", + "T : 86504 9156 2607 852 359 259 263 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 2.0086e-02 sec\n", + "--- Collate = 1.5163e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.946963e-06 < 1.562500e-03 [108]\n", + "--- Max DT=4.252974e-01 > 1.000000e-01 [69960]\n", + "----------------------------------------------------------------------\n", + " Component | low: 108/100000\n", + " Component | high: 69960/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=99.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00240974 [ 0.43 %]\n", + "Velocity : 0.00642491 [ 1.14 %]\n", + "Force : 0.130062 [ 23.00 %]\n", + "Coefs : 0.0380197 [ 6.72 %]\n", + "Output : 0.00207289 [ 0.37 %]\n", + "Levels : 0.000148057 [ 0.03 %]\n", + "Report : 2.51e-07 [ 0.00 %]\n", + "Balance : 1.52e-07 [ 0.00 %]\n", + "Adjust : 0.386253 [ 68.31 %]\n", + "Total : 0.565453 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21623 2296 657 206 89 65 64 \n", + "1 : 21690 2200 646 231 95 62 76 \n", + "2 : 21623 2284 695 196 97 55 50 \n", + "3 : 21578 2330 636 230 80 82 64 \n", + "\n", + "T : 86514 9110 2634 863 361 264 254 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 1.9870e-02 sec\n", + "--- Collate = 1.5205e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.834776e-05 < 1.562500e-03 [109]\n", + "--- Max DT=4.257346e-01 > 1.000000e-01 [69957]\n", + "----------------------------------------------------------------------\n", + " Component | low: 109/100000\n", + " Component | high: 69957/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=99.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00248687 [ 0.44 %]\n", + "Velocity : 0.00648115 [ 1.14 %]\n", + "Force : 0.129689 [ 22.90 %]\n", + "Coefs : 0.0385337 [ 6.80 %]\n", + "Output : 0.00208728 [ 0.37 %]\n", + "Levels : 0.000120829 [ 0.02 %]\n", + "Report : 2.34e-07 [ 0.00 %]\n", + "Balance : 1.05e-07 [ 0.00 %]\n", + "Adjust : 0.386961 [ 68.32 %]\n", + "Total : 0.566423 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21619 2302 649 211 85 78 56 \n", + "1 : 21682 2209 653 231 75 82 68 \n", + "2 : 21615 2302 679 205 87 64 48 \n", + "3 : 21577 2333 636 222 97 65 70 \n", + "\n", + "T : 86493 9146 2617 869 344 289 242 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 2.0126e-02 sec\n", + "--- Collate = 1.4632e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.921895e-06 < 1.562500e-03 [108]\n", + "--- Max DT=4.261669e-01 > 1.000000e-01 [69956]\n", + "----------------------------------------------------------------------\n", + " Component | low: 108/100000\n", + " Component | high: 69956/100000\n", + "----------------------------------------------------------------------\n", + "OutCHKPT::Run(): error unlinking old backup file , it may not exist\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=100] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00238433 [ 0.27 %]\n", + "Velocity : 0.00616954 [ 0.69 %]\n", + "Force : 0.129276 [ 14.48 %]\n", + "Coefs : 0.0380423 [ 4.26 %]\n", + "Output : 0.330832 [ 37.06 %]\n", + "Levels : 0.000120353 [ 0.01 %]\n", + "Report : 5.62e-07 [ 0.00 %]\n", + "Balance : 3.08e-07 [ 0.00 %]\n", + "Adjust : 0.385731 [ 43.21 %]\n", + "Total : 0.892617 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 21622 2310 634 224 76 75 59 \n", + "1 : 21665 2225 659 220 90 71 70 \n", + "2 : 21620 2287 680 220 80 62 51 \n", + "3 : 21579 2322 641 221 98 68 71 \n", + "\n", + "T : 86486 9144 2614 885 344 276 251 [100000]\n", + "----------------------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Process 0 on be38603b8704 pid=925 ROOT NODE\t Exiting EXP\n", + "Process 1 on be38603b8704 pid=926 rank in WORKER: 1\t Exiting EXP\n", + "Process 2 on be38603b8704 pid=927 rank in WORKER: 2\t Exiting EXP\n", + "Process 3 on be38603b8704 pid=928 rank in WORKER: 3\t Exiting EXP\n", + "----------------------------------------------------------------------\n", + "\n", + "CPU times: user 11.7 s, sys: 1.77 s, total: 13.5 s\n", + "Wall time: 17min 53s\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5468e-03 sec\n", + "--- Collate = 7.5595e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.302562e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.035791e-01 > 1.000000e-01 [71703]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71703/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=0.3] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000423083 [ 0.36 %]\n", + "Velocity : 0.000922179 [ 0.79 %]\n", + "Force : 0.025445 [ 21.89 %]\n", + "Coefs : 0.0120409 [ 10.36 %]\n", + "Output : 0.00204885 [ 1.76 %]\n", + "Levels : 0.000171774 [ 0.15 %]\n", + "Report : 4.38e-07 [ 0.00 %]\n", + "Balance : 2.73e-07 [ 0.00 %]\n", + "Adjust : 0.0750976 [ 64.60 %]\n", + "Total : 0.116249 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6628 417 82 9 6 0 0 \n", + "1 : 6629 431 69 8 2 2 1 \n", + "2 : 6699 374 64 1 1 1 2 \n", + "3 : 6651 400 81 6 3 0 1 \n", + "4 : 6653 382 89 9 5 0 4 \n", + "5 : 6655 394 76 7 5 1 4 \n", + "6 : 6688 366 72 11 1 2 2 \n", + "7 : 6677 376 82 2 1 1 3 \n", + "8 : 6668 389 74 8 1 1 1 \n", + "9 : 6677 386 64 8 2 3 2 \n", + "10 : 6695 352 81 10 1 0 3 \n", + "11 : 6680 373 75 9 3 0 2 \n", + "12 : 6681 371 75 6 4 2 3 \n", + "13 : 6634 399 102 15 0 4 0 \n", + "\n", + "T : 93315 5410 1086 109 35 17 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5218e-03 sec\n", + "--- Collate = 3.4850e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.289489e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.036079e-01 > 1.000000e-01 [71695]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71695/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=0.4] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000397273 [ 0.34 %]\n", + "Velocity : 0.00092598 [ 0.79 %]\n", + "Force : 0.0258583 [ 22.05 %]\n", + "Coefs : 0.0115112 [ 9.81 %]\n", + "Output : 0.00202143 [ 1.72 %]\n", + "Levels : 0.000163707 [ 0.14 %]\n", + "Report : 4.07e-07 [ 0.00 %]\n", + "Balance : 2.54e-07 [ 0.00 %]\n", + "Adjust : 0.0763239 [ 65.07 %]\n", + "Total : 0.117292 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6630 415 84 6 7 0 0 \n", + "1 : 6629 432 69 7 4 0 1 \n", + "2 : 6699 374 63 2 2 0 2 \n", + "3 : 6652 400 78 7 3 1 1 \n", + "4 : 6655 380 90 9 4 1 3 \n", + "5 : 6652 398 75 9 4 3 1 \n", + "6 : 6686 367 73 9 3 2 2 \n", + "7 : 6676 376 84 1 1 2 2 \n", + "8 : 6668 389 73 9 1 1 1 \n", + "9 : 6677 386 65 7 4 1 2 \n", + "10 : 6697 350 81 10 0 1 3 \n", + "11 : 6678 374 77 8 2 2 1 \n", + "12 : 6678 372 77 6 5 1 3 \n", + "13 : 6632 403 102 13 2 0 2 \n", + "\n", + "T : 93309 5416 1091 103 42 15 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5162e-03 sec\n", + "--- Collate = 5.3588e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.330135e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.036355e-01 > 1.000000e-01 [71694]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71694/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=0.5] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000409803 [ 0.35 %]\n", + "Velocity : 0.000913617 [ 0.78 %]\n", + "Force : 0.0251833 [ 21.49 %]\n", + "Coefs : 0.0115309 [ 9.84 %]\n", + "Output : 0.002081 [ 1.78 %]\n", + "Levels : 0.000135012 [ 0.12 %]\n", + "Report : 2.82e-07 [ 0.00 %]\n", + "Balance : 2.4e-07 [ 0.00 %]\n", + "Adjust : 0.0768444 [ 65.57 %]\n", + "Total : 0.117187 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6629 415 83 9 3 3 0 \n", + "1 : 6631 430 69 8 3 0 1 \n", + "2 : 6700 372 62 5 1 1 1 \n", + "3 : 6651 402 76 7 3 2 1 \n", + "4 : 6654 382 89 9 1 5 2 \n", + "5 : 6653 396 76 9 5 2 1 \n", + "6 : 6685 368 76 6 4 2 1 \n", + "7 : 6676 376 84 1 1 2 2 \n", + "8 : 6672 383 75 8 1 2 1 \n", + "9 : 6677 386 65 8 2 2 2 \n", + "10 : 6698 351 78 10 1 2 2 \n", + "11 : 6679 373 77 8 0 3 2 \n", + "12 : 6678 372 78 7 2 4 1 \n", + "13 : 6633 404 100 14 1 0 2 \n", + "\n", + "T : 93316 5410 1088 109 28 30 19 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6031e-03 sec\n", + "--- Collate = 2.4757e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.430831e-05 < 1.562500e-03 [5]\n", + "--- Max DT=3.036621e-01 > 1.000000e-01 [71690]\n", + "----------------------------------------------------------------------\n", + " Component | low: 5/100000\n", + " Component | high: 71690/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=0.6] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000396478 [ 0.34 %]\n", + "Velocity : 0.000935696 [ 0.80 %]\n", + "Force : 0.0251491 [ 21.49 %]\n", + "Coefs : 0.011537 [ 9.86 %]\n", + "Output : 0.00209994 [ 1.79 %]\n", + "Levels : 0.000150739 [ 0.13 %]\n", + "Report : 4.25e-07 [ 0.00 %]\n", + "Balance : 2.39e-07 [ 0.00 %]\n", + "Adjust : 0.0766864 [ 65.52 %]\n", + "Total : 0.117045 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6629 415 84 7 2 5 0 \n", + "1 : 6631 429 71 7 2 2 0 \n", + "2 : 6697 373 64 6 1 1 0 \n", + "3 : 6651 402 74 9 3 2 1 \n", + "4 : 6656 380 88 8 4 4 2 \n", + "5 : 6653 394 78 9 5 3 0 \n", + "6 : 6685 369 76 6 4 0 2 \n", + "7 : 6678 374 84 1 2 2 1 \n", + "8 : 6672 384 72 9 2 2 1 \n", + "9 : 6677 385 67 7 2 2 2 \n", + "10 : 6698 350 78 11 2 2 1 \n", + "11 : 6677 376 76 8 1 2 2 \n", + "12 : 6677 374 77 7 4 2 1 \n", + "13 : 6632 404 103 12 1 1 1 \n", + "\n", + "T : 93313 5409 1092 107 35 30 14 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.4304e-03 sec\n", + "--- Collate = 3.1182e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.531704e-04 < 1.562500e-03 [6]\n", + "--- Max DT=3.036878e-01 > 1.000000e-01 [71683]\n", + "----------------------------------------------------------------------\n", + " Component | low: 6/100000\n", + " Component | high: 71683/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=0.7] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000396867 [ 0.34 %]\n", + "Velocity : 0.000930419 [ 0.79 %]\n", + "Force : 0.0257725 [ 21.95 %]\n", + "Coefs : 0.0119054 [ 10.14 %]\n", + "Output : 0.00210859 [ 1.80 %]\n", + "Levels : 0.000164181 [ 0.14 %]\n", + "Report : 5.81e-07 [ 0.00 %]\n", + "Balance : 2.47e-07 [ 0.00 %]\n", + "Adjust : 0.0760652 [ 64.77 %]\n", + "Total : 0.117434 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6631 412 84 8 2 1 4 \n", + "1 : 6631 430 70 7 3 0 1 \n", + "2 : 6695 375 64 6 2 0 0 \n", + "3 : 6649 405 74 8 4 0 2 \n", + "4 : 6658 377 91 5 7 1 3 \n", + "5 : 6653 396 77 10 2 2 2 \n", + "6 : 6685 371 75 6 3 1 1 \n", + "7 : 6676 376 83 2 3 1 1 \n", + "8 : 6674 384 71 8 2 0 3 \n", + "9 : 6678 384 67 8 1 2 2 \n", + "10 : 6694 354 78 10 5 0 1 \n", + "11 : 6676 377 76 8 1 1 3 \n", + "12 : 6682 370 74 10 3 1 2 \n", + "13 : 6633 404 101 13 0 2 1 \n", + "\n", + "T : 93315 5415 1085 109 38 12 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.4311e-03 sec\n", + "--- Collate = 2.9754e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.300026e-05 < 1.562500e-03 [18]\n", + "--- Max DT=3.037128e-01 > 1.000000e-01 [71684]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 71684/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=0.8] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000400268 [ 0.34 %]\n", + "Velocity : 0.0009448 [ 0.80 %]\n", + "Force : 0.0252444 [ 21.26 %]\n", + "Coefs : 0.0118886 [ 10.01 %]\n", + "Output : 0.00211893 [ 1.78 %]\n", + "Levels : 0.000144462 [ 0.12 %]\n", + "Report : 3.82e-07 [ 0.00 %]\n", + "Balance : 2.65e-07 [ 0.00 %]\n", + "Adjust : 0.0779283 [ 65.61 %]\n", + "Total : 0.118768 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6631 412 85 7 2 1 4 \n", + "1 : 6632 429 69 9 1 1 1 \n", + "2 : 6691 378 64 7 2 0 0 \n", + "3 : 6649 405 74 9 3 1 1 \n", + "4 : 6659 374 94 5 5 2 3 \n", + "5 : 6654 394 79 9 1 1 4 \n", + "6 : 6684 372 76 7 1 1 1 \n", + "7 : 6675 377 83 3 2 1 1 \n", + "8 : 6673 382 72 9 3 0 3 \n", + "9 : 6677 383 68 10 1 1 2 \n", + "10 : 6692 354 81 9 5 1 0 \n", + "11 : 6676 377 76 8 2 1 2 \n", + "12 : 6681 371 72 13 3 0 2 \n", + "13 : 6636 403 100 10 3 1 1 \n", + "\n", + "T : 93310 5411 1093 115 34 12 25 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.4206e-03 sec\n", + "--- Collate = 3.0617e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.253606e-04 < 1.562500e-03 [7]\n", + "--- Max DT=3.037369e-01 > 1.000000e-01 [71696]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71696/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=0.9] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000404894 [ 0.34 %]\n", + "Velocity : 0.000960232 [ 0.81 %]\n", + "Force : 0.0255915 [ 21.55 %]\n", + "Coefs : 0.0126446 [ 10.65 %]\n", + "Output : 0.00216422 [ 1.82 %]\n", + "Levels : 0.000144715 [ 0.12 %]\n", + "Report : 2.81e-07 [ 0.00 %]\n", + "Balance : 2.35e-07 [ 0.00 %]\n", + "Adjust : 0.0767647 [ 64.64 %]\n", + "Total : 0.118766 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6630 412 84 9 1 2 4 \n", + "1 : 6633 429 68 9 1 1 1 \n", + "2 : 6692 376 63 9 2 0 0 \n", + "3 : 6651 401 76 9 3 1 1 \n", + "4 : 6658 374 94 7 3 4 2 \n", + "5 : 6656 394 77 7 3 0 5 \n", + "6 : 6685 367 79 8 0 2 1 \n", + "7 : 6675 376 84 5 1 0 1 \n", + "8 : 6673 382 71 9 3 3 1 \n", + "9 : 6680 380 68 8 4 1 1 \n", + "10 : 6693 352 81 11 5 0 0 \n", + "11 : 6678 374 78 8 2 1 1 \n", + "12 : 6680 373 71 14 1 1 2 \n", + "13 : 6636 403 99 9 6 1 0 \n", + "\n", + "T : 93320 5393 1093 122 35 17 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.4231e-03 sec\n", + "--- Collate = 2.4873e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.007464e-05 < 1.562500e-03 [3]\n", + "--- Max DT=3.037605e-01 > 1.000000e-01 [71696]\n", + "----------------------------------------------------------------------\n", + " Component | low: 3/100000\n", + " Component | high: 71696/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1] -------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000394347 [ 0.31 %]\n", + "Velocity : 0.000948795 [ 0.75 %]\n", + "Force : 0.0260764 [ 20.59 %]\n", + "Coefs : 0.0119925 [ 9.47 %]\n", + "Output : 0.0120493 [ 9.52 %]\n", + "Levels : 0.000168438 [ 0.13 %]\n", + "Report : 4.97e-07 [ 0.00 %]\n", + "Balance : 4.58e-07 [ 0.00 %]\n", + "Adjust : 0.0748997 [ 59.15 %]\n", + "Total : 0.126631 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6631 412 83 9 2 5 0 \n", + "1 : 6634 428 67 10 1 1 1 \n", + "2 : 6692 376 63 9 1 1 0 \n", + "3 : 6651 401 74 11 3 2 0 \n", + "4 : 6657 375 95 5 5 3 2 \n", + "5 : 6658 393 77 5 3 2 4 \n", + "6 : 6684 366 82 5 1 3 1 \n", + "7 : 6672 378 84 6 1 1 0 \n", + "8 : 6674 381 70 9 3 4 1 \n", + "9 : 6679 381 66 10 3 3 0 \n", + "10 : 6692 353 83 10 3 1 0 \n", + "11 : 6678 375 77 9 2 1 0 \n", + "12 : 6680 374 70 13 2 2 1 \n", + "13 : 6636 403 98 10 6 1 0 \n", + "\n", + "T : 93318 5396 1089 121 36 30 10 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.4657e-03 sec\n", + "--- Collate = 3.1240e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.904567e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.037834e-01 > 1.000000e-01 [71699]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71699/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.1] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000299381 [ 0.26 %]\n", + "Velocity : 0.00111389 [ 0.96 %]\n", + "Force : 0.0254747 [ 21.98 %]\n", + "Coefs : 0.0114499 [ 9.88 %]\n", + "Output : 0.00206197 [ 1.78 %]\n", + "Levels : 0.000145222 [ 0.13 %]\n", + "Report : 4.6e-07 [ 0.00 %]\n", + "Balance : 2.29e-07 [ 0.00 %]\n", + "Adjust : 0.0752626 [ 64.94 %]\n", + "Total : 0.115897 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6631 411 85 8 4 3 0 \n", + "1 : 6633 429 67 9 2 2 0 \n", + "2 : 6693 375 62 10 0 0 2 \n", + "3 : 6652 401 74 12 2 1 0 \n", + "4 : 6659 374 93 7 5 1 3 \n", + "5 : 6657 395 76 4 4 4 2 \n", + "6 : 6683 367 83 4 1 1 3 \n", + "7 : 6677 372 86 5 2 0 0 \n", + "8 : 6674 381 69 10 4 3 1 \n", + "9 : 6678 382 66 11 4 1 0 \n", + "10 : 6691 354 84 10 1 2 0 \n", + "11 : 6677 376 76 10 3 0 0 \n", + "12 : 6679 374 71 14 1 2 1 \n", + "13 : 6637 402 98 10 7 0 0 \n", + "\n", + "T : 93321 5393 1090 124 40 20 12 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5007e-03 sec\n", + "--- Collate = 2.9890e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.328966e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.038057e-01 > 1.000000e-01 [71712]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71712/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.2] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000388206 [ 0.33 %]\n", + "Velocity : 0.000928405 [ 0.80 %]\n", + "Force : 0.025077 [ 21.52 %]\n", + "Coefs : 0.0121982 [ 10.47 %]\n", + "Output : 0.00210566 [ 1.81 %]\n", + "Levels : 0.00014338 [ 0.12 %]\n", + "Report : 2.86e-07 [ 0.00 %]\n", + "Balance : 2.24e-07 [ 0.00 %]\n", + "Adjust : 0.0755725 [ 64.87 %]\n", + "Total : 0.116502 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6631 411 84 11 3 1 1 \n", + "1 : 6632 429 66 11 3 0 1 \n", + "2 : 6693 376 62 8 1 0 2 \n", + "3 : 6652 401 75 10 3 1 0 \n", + "4 : 6660 373 92 10 2 2 3 \n", + "5 : 6656 395 77 5 3 5 1 \n", + "6 : 6682 368 82 5 1 1 3 \n", + "7 : 6679 370 87 6 0 0 0 \n", + "8 : 6672 382 68 10 6 0 4 \n", + "9 : 6679 380 71 8 3 0 1 \n", + "10 : 6691 353 84 12 0 0 2 \n", + "11 : 6678 372 79 11 2 0 0 \n", + "12 : 6679 374 73 10 3 1 2 \n", + "13 : 6635 404 99 10 5 1 0 \n", + "\n", + "T : 93319 5388 1099 127 35 12 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5074e-03 sec\n", + "--- Collate = 2.9573e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.577962e-06 < 1.562500e-03 [13]\n", + "--- Max DT=3.038272e-01 > 1.000000e-01 [71715]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71715/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.3] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000409417 [ 0.35 %]\n", + "Velocity : 0.000932436 [ 0.79 %]\n", + "Force : 0.0260451 [ 22.09 %]\n", + "Coefs : 0.0116823 [ 9.91 %]\n", + "Output : 0.00208352 [ 1.77 %]\n", + "Levels : 0.000141311 [ 0.12 %]\n", + "Report : 3.9e-07 [ 0.00 %]\n", + "Balance : 2.39e-07 [ 0.00 %]\n", + "Adjust : 0.0765379 [ 64.91 %]\n", + "Total : 0.117921 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6633 410 81 15 0 1 2 \n", + "1 : 6630 433 65 10 1 2 1 \n", + "2 : 6692 376 62 8 2 0 2 \n", + "3 : 6651 403 71 13 4 0 0 \n", + "4 : 6660 374 90 13 0 2 3 \n", + "5 : 6659 391 79 5 2 4 2 \n", + "6 : 6682 366 82 7 2 0 3 \n", + "7 : 6679 371 87 4 1 0 0 \n", + "8 : 6671 385 67 9 5 2 3 \n", + "9 : 6680 380 70 9 1 1 1 \n", + "10 : 6692 353 83 11 1 0 2 \n", + "11 : 6677 373 82 9 0 1 0 \n", + "12 : 6679 374 71 12 1 2 3 \n", + "13 : 6637 404 99 9 3 2 0 \n", + "\n", + "T : 93322 5393 1089 134 23 17 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5486e-03 sec\n", + "--- Collate = 2.8785e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.793629e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.038475e-01 > 1.000000e-01 [71699]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71699/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.4] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000390966 [ 0.34 %]\n", + "Velocity : 0.00094285 [ 0.81 %]\n", + "Force : 0.0253804 [ 21.80 %]\n", + "Coefs : 0.0117168 [ 10.07 %]\n", + "Output : 0.00211154 [ 1.81 %]\n", + "Levels : 0.000177694 [ 0.15 %]\n", + "Report : 4.3e-07 [ 0.00 %]\n", + "Balance : 2.53e-07 [ 0.00 %]\n", + "Adjust : 0.0755957 [ 64.94 %]\n", + "Total : 0.116406 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6635 409 79 13 2 1 3 \n", + "1 : 6631 427 69 11 0 3 1 \n", + "2 : 6695 373 62 9 1 2 0 \n", + "3 : 6649 404 74 9 3 3 0 \n", + "4 : 6660 373 92 13 1 1 2 \n", + "5 : 6658 392 79 4 5 2 2 \n", + "6 : 6684 365 80 9 1 2 1 \n", + "7 : 6675 375 86 4 2 0 0 \n", + "8 : 6672 382 68 11 5 1 3 \n", + "9 : 6680 380 69 8 2 1 2 \n", + "10 : 6693 351 85 9 2 1 1 \n", + "11 : 6677 373 83 7 1 1 0 \n", + "12 : 6682 371 72 12 1 0 4 \n", + "13 : 6638 403 98 10 3 2 0 \n", + "\n", + "T : 93329 5378 1096 129 29 20 19 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5685e-03 sec\n", + "--- Collate = 2.9519e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.054338e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.038669e-01 > 1.000000e-01 [71704]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71704/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.5] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000409468 [ 0.35 %]\n", + "Velocity : 0.000928824 [ 0.80 %]\n", + "Force : 0.0252055 [ 21.70 %]\n", + "Coefs : 0.0119457 [ 10.28 %]\n", + "Output : 0.00212408 [ 1.83 %]\n", + "Levels : 0.000144692 [ 0.12 %]\n", + "Report : 3.06e-07 [ 0.00 %]\n", + "Balance : 2.18e-07 [ 0.00 %]\n", + "Adjust : 0.0753246 [ 64.84 %]\n", + "Total : 0.116172 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6634 410 79 12 1 2 4 \n", + "1 : 6632 426 69 9 2 2 2 \n", + "2 : 6694 373 62 9 3 1 0 \n", + "3 : 6649 404 75 8 3 2 1 \n", + "4 : 6659 376 92 11 1 2 1 \n", + "5 : 6658 393 78 5 4 0 4 \n", + "6 : 6684 364 81 9 2 2 0 \n", + "7 : 6677 373 83 6 2 1 0 \n", + "8 : 6672 383 67 11 4 4 1 \n", + "9 : 6680 379 69 9 1 2 2 \n", + "10 : 6691 354 84 10 2 1 0 \n", + "11 : 6679 370 83 6 2 1 1 \n", + "12 : 6682 369 72 15 0 1 3 \n", + "13 : 6638 405 98 9 2 1 1 \n", + "\n", + "T : 93329 5379 1092 129 29 22 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.4988e-03 sec\n", + "--- Collate = 2.6453e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.608026e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.038849e-01 > 1.000000e-01 [71709]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71709/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.6] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000395681 [ 0.34 %]\n", + "Velocity : 0.000968592 [ 0.83 %]\n", + "Force : 0.0252848 [ 21.76 %]\n", + "Coefs : 0.0116879 [ 10.06 %]\n", + "Output : 0.00208599 [ 1.79 %]\n", + "Levels : 0.000155247 [ 0.13 %]\n", + "Report : 4.31e-07 [ 0.00 %]\n", + "Balance : 2.06e-07 [ 0.00 %]\n", + "Adjust : 0.0755456 [ 65.01 %]\n", + "Total : 0.116213 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6632 411 81 10 1 3 4 \n", + "1 : 6632 426 69 9 3 0 3 \n", + "2 : 6693 373 64 6 6 0 0 \n", + "3 : 6647 406 75 7 4 1 2 \n", + "4 : 6660 374 92 11 4 1 0 \n", + "5 : 6659 393 75 6 5 2 2 \n", + "6 : 6684 365 80 9 3 1 0 \n", + "7 : 6676 374 83 6 1 1 1 \n", + "8 : 6669 386 69 9 3 5 1 \n", + "9 : 6678 381 68 10 1 1 3 \n", + "10 : 6691 354 84 9 2 2 0 \n", + "11 : 6680 370 82 6 2 0 2 \n", + "12 : 6681 371 75 9 3 2 1 \n", + "13 : 6635 409 96 10 1 2 1 \n", + "\n", + "T : 93317 5393 1093 117 39 21 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5130e-03 sec\n", + "--- Collate = 2.8296e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.678324e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.039020e-01 > 1.000000e-01 [71702]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71702/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.7] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000402257 [ 0.34 %]\n", + "Velocity : 0.000927634 [ 0.78 %]\n", + "Force : 0.0260165 [ 22.00 %]\n", + "Coefs : 0.0120487 [ 10.19 %]\n", + "Output : 0.0021116 [ 1.79 %]\n", + "Levels : 0.000143397 [ 0.12 %]\n", + "Report : 4.34e-07 [ 0.00 %]\n", + "Balance : 2.07e-07 [ 0.00 %]\n", + "Adjust : 0.0765059 [ 64.70 %]\n", + "Total : 0.118248 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6632 412 83 4 4 3 4 \n", + "1 : 6633 427 65 10 3 1 3 \n", + "2 : 6693 374 62 7 5 1 0 \n", + "3 : 6649 403 75 9 1 4 1 \n", + "4 : 6661 372 95 8 3 3 0 \n", + "5 : 6660 390 76 7 7 0 2 \n", + "6 : 6684 365 80 9 4 0 0 \n", + "7 : 6677 375 80 6 1 2 1 \n", + "8 : 6667 387 69 9 3 4 3 \n", + "9 : 6683 380 65 9 1 2 2 \n", + "10 : 6690 354 85 8 3 0 2 \n", + "11 : 6681 369 83 4 2 1 2 \n", + "12 : 6682 371 75 8 4 2 0 \n", + "13 : 6634 409 97 7 4 1 2 \n", + "\n", + "T : 93326 5388 1090 105 45 24 22 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5254e-03 sec\n", + "--- Collate = 2.9419e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.730917e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.039178e-01 > 1.000000e-01 [71696]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71696/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.8] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000392296 [ 0.34 %]\n", + "Velocity : 0.000945415 [ 0.82 %]\n", + "Force : 0.0252065 [ 21.78 %]\n", + "Coefs : 0.011724 [ 10.13 %]\n", + "Output : 0.00214478 [ 1.85 %]\n", + "Levels : 0.0001613 [ 0.14 %]\n", + "Report : 5.63e-07 [ 0.00 %]\n", + "Balance : 2.44e-07 [ 0.00 %]\n", + "Adjust : 0.0750467 [ 64.86 %]\n", + "Total : 0.115711 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6632 412 82 5 6 3 2 \n", + "1 : 6633 426 68 8 3 2 2 \n", + "2 : 6692 377 60 6 5 1 1 \n", + "3 : 6650 400 78 8 2 2 2 \n", + "4 : 6662 368 98 8 3 2 1 \n", + "5 : 6659 391 77 9 3 3 0 \n", + "6 : 6685 364 78 8 6 1 0 \n", + "7 : 6681 371 80 5 2 0 3 \n", + "8 : 6669 384 72 6 5 2 4 \n", + "9 : 6681 381 67 8 2 1 2 \n", + "10 : 6690 353 83 10 4 0 2 \n", + "11 : 6683 368 81 4 2 2 2 \n", + "12 : 6682 372 74 6 8 0 0 \n", + "13 : 6633 411 97 5 4 1 3 \n", + "\n", + "T : 93332 5378 1095 96 55 20 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.4550e-03 sec\n", + "--- Collate = 2.9981e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.515161e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.039327e-01 > 1.000000e-01 [71695]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71695/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.9] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000391671 [ 0.34 %]\n", + "Velocity : 0.000958811 [ 0.83 %]\n", + "Force : 0.0252702 [ 21.79 %]\n", + "Coefs : 0.0117017 [ 10.09 %]\n", + "Output : 0.0020581 [ 1.77 %]\n", + "Levels : 0.000137486 [ 0.12 %]\n", + "Report : 4.43e-07 [ 0.00 %]\n", + "Balance : 2.47e-07 [ 0.00 %]\n", + "Adjust : 0.0753873 [ 64.99 %]\n", + "Total : 0.115996 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6632 412 83 3 6 4 2 \n", + "1 : 6631 427 70 8 4 1 1 \n", + "2 : 6693 376 60 6 5 1 1 \n", + "3 : 6650 402 77 6 5 0 2 \n", + "4 : 6662 369 96 10 2 1 2 \n", + "5 : 6659 391 76 11 3 1 1 \n", + "6 : 6683 366 78 10 2 2 1 \n", + "7 : 6680 372 79 5 2 2 2 \n", + "8 : 6668 386 72 8 1 3 4 \n", + "9 : 6681 380 68 8 3 1 1 \n", + "10 : 6688 355 82 11 4 0 2 \n", + "11 : 6685 367 80 3 2 4 1 \n", + "12 : 6682 372 73 9 3 3 0 \n", + "13 : 6633 410 98 4 5 3 1 \n", + "\n", + "T : 93327 5385 1092 102 47 26 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5536e-03 sec\n", + "--- Collate = 2.5372e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.713141e-04 < 1.562500e-03 [11]\n", + "--- Max DT=3.039467e-01 > 1.000000e-01 [71694]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71694/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=2] -------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000395739 [ 0.31 %]\n", + "Velocity : 0.000944332 [ 0.74 %]\n", + "Force : 0.0253677 [ 19.83 %]\n", + "Coefs : 0.0129956 [ 10.16 %]\n", + "Output : 0.011559 [ 9.03 %]\n", + "Levels : 0.000147247 [ 0.12 %]\n", + "Report : 7.65e-07 [ 0.00 %]\n", + "Balance : 7.15e-07 [ 0.00 %]\n", + "Adjust : 0.07644 [ 59.75 %]\n", + "Total : 0.12794 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6632 413 81 4 5 5 2 \n", + "1 : 6631 426 71 8 3 2 1 \n", + "2 : 6693 376 60 6 5 0 2 \n", + "3 : 6650 402 76 6 5 0 3 \n", + "4 : 6662 369 94 12 1 1 3 \n", + "5 : 6660 390 76 10 5 0 1 \n", + "6 : 6683 363 83 9 1 0 3 \n", + "7 : 6678 374 78 6 1 2 3 \n", + "8 : 6665 387 73 7 2 7 1 \n", + "9 : 6682 377 71 9 1 1 1 \n", + "10 : 6689 353 80 13 4 3 0 \n", + "11 : 6687 365 80 3 2 2 3 \n", + "12 : 6683 371 71 10 4 1 2 \n", + "13 : 6636 406 98 5 5 4 0 \n", + "\n", + "T : 93331 5372 1092 108 44 28 25 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.4882e-03 sec\n", + "--- Collate = 3.1508e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.927468e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.039601e-01 > 1.000000e-01 [71695]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71695/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=2.1] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000314694 [ 0.27 %]\n", + "Velocity : 0.00113777 [ 0.98 %]\n", + "Force : 0.0254172 [ 21.82 %]\n", + "Coefs : 0.0115257 [ 9.90 %]\n", + "Output : 0.00211142 [ 1.81 %]\n", + "Levels : 0.000170012 [ 0.15 %]\n", + "Report : 4.53e-07 [ 0.00 %]\n", + "Balance : 2.32e-07 [ 0.00 %]\n", + "Adjust : 0.0756972 [ 65.00 %]\n", + "Total : 0.116466 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6631 413 81 5 6 4 2 \n", + "1 : 6631 425 70 11 3 1 1 \n", + "2 : 6693 374 62 6 3 3 1 \n", + "3 : 6646 405 76 8 4 1 2 \n", + "4 : 6660 371 95 11 1 1 3 \n", + "5 : 6662 388 75 11 5 0 1 \n", + "6 : 6685 361 82 9 1 1 3 \n", + "7 : 6676 374 80 5 2 4 1 \n", + "8 : 6665 388 72 6 3 7 1 \n", + "9 : 6682 377 71 9 1 2 0 \n", + "10 : 6688 355 80 12 3 3 1 \n", + "11 : 6687 365 80 4 1 2 3 \n", + "12 : 6682 373 70 12 1 1 3 \n", + "13 : 6637 405 98 5 3 5 1 \n", + "\n", + "T : 93325 5374 1092 114 37 35 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5150e-03 sec\n", + "--- Collate = 3.1498e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.207779e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.039726e-01 > 1.000000e-01 [71692]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71692/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=2.2] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0003899 [ 0.33 %]\n", + "Velocity : 0.00094741 [ 0.81 %]\n", + "Force : 0.0257967 [ 22.07 %]\n", + "Coefs : 0.0116463 [ 9.96 %]\n", + "Output : 0.00214333 [ 1.83 %]\n", + "Levels : 0.000145576 [ 0.12 %]\n", + "Report : 4.16e-07 [ 0.00 %]\n", + "Balance : 2.06e-07 [ 0.00 %]\n", + "Adjust : 0.0757164 [ 64.78 %]\n", + "Total : 0.116879 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6633 411 81 7 3 2 5 \n", + "1 : 6631 426 69 11 3 1 1 \n", + "2 : 6693 374 62 6 1 5 1 \n", + "3 : 6646 403 78 9 3 2 1 \n", + "4 : 6660 369 97 11 0 3 2 \n", + "5 : 6663 386 77 12 2 2 0 \n", + "6 : 6685 361 81 9 2 2 2 \n", + "7 : 6675 376 79 5 4 1 2 \n", + "8 : 6664 389 72 8 2 4 3 \n", + "9 : 6682 378 70 9 2 0 1 \n", + "10 : 6687 356 81 10 6 0 2 \n", + "11 : 6685 366 82 3 1 1 4 \n", + "12 : 6682 375 69 11 1 0 4 \n", + "13 : 6636 406 98 5 5 0 4 \n", + "\n", + "T : 93322 5376 1096 116 35 23 32 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5098e-03 sec\n", + "--- Collate = 3.1093e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.841910e-05 < 1.562500e-03 [20]\n", + "--- Max DT=3.039843e-01 > 1.000000e-01 [71689]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 71689/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=2.3] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00039939 [ 0.33 %]\n", + "Velocity : 0.000943098 [ 0.79 %]\n", + "Force : 0.0260606 [ 21.83 %]\n", + "Coefs : 0.0118342 [ 9.91 %]\n", + "Output : 0.00213829 [ 1.79 %]\n", + "Levels : 0.000149624 [ 0.13 %]\n", + "Report : 4.27e-07 [ 0.00 %]\n", + "Balance : 2.5e-07 [ 0.00 %]\n", + "Adjust : 0.0777585 [ 65.14 %]\n", + "Total : 0.119377 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6635 408 81 8 3 2 5 \n", + "1 : 6631 427 67 12 4 0 1 \n", + "2 : 6691 376 63 5 2 2 3 \n", + "3 : 6646 402 79 10 3 1 1 \n", + "4 : 6658 372 98 9 3 0 2 \n", + "5 : 6663 387 76 11 4 1 0 \n", + "6 : 6685 361 83 5 5 2 1 \n", + "7 : 6676 376 76 8 2 2 2 \n", + "8 : 6663 391 72 5 5 2 4 \n", + "9 : 6685 374 71 10 0 1 1 \n", + "10 : 6688 356 81 10 4 1 2 \n", + "11 : 6688 362 81 6 2 1 2 \n", + "12 : 6682 375 69 11 0 3 2 \n", + "13 : 6634 409 96 7 3 1 4 \n", + "\n", + "T : 93325 5376 1093 117 40 19 30 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7074e-03 sec\n", + "--- Collate = 3.2247e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.958956e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.039946e-01 > 1.000000e-01 [71686]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71686/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=2.4] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000416088 [ 0.34 %]\n", + "Velocity : 0.00101518 [ 0.82 %]\n", + "Force : 0.026242 [ 21.30 %]\n", + "Coefs : 0.0122975 [ 9.98 %]\n", + "Output : 0.00229588 [ 1.86 %]\n", + "Levels : 0.000151878 [ 0.12 %]\n", + "Report : 4.53e-07 [ 0.00 %]\n", + "Balance : 2.49e-07 [ 0.00 %]\n", + "Adjust : 0.0807108 [ 65.50 %]\n", + "Total : 0.123221 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6637 405 82 10 2 1 5 \n", + "1 : 6633 423 71 11 3 1 0 \n", + "2 : 6693 373 65 4 3 1 3 \n", + "3 : 6645 402 80 9 3 2 1 \n", + "4 : 6658 370 101 8 3 1 1 \n", + "5 : 6664 386 75 12 4 0 1 \n", + "6 : 6685 363 80 6 5 2 1 \n", + "7 : 6676 376 79 6 1 2 2 \n", + "8 : 6664 390 71 6 4 4 3 \n", + "9 : 6686 371 73 9 0 1 2 \n", + "10 : 6688 355 83 9 3 2 2 \n", + "11 : 6688 362 81 7 1 2 1 \n", + "12 : 6682 378 67 10 2 2 1 \n", + "13 : 6633 410 96 8 2 1 4 \n", + "\n", + "T : 93332 5364 1104 115 36 22 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6683e-03 sec\n", + "--- Collate = 3.2518e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.456388e-06 < 1.562500e-03 [7]\n", + "--- Max DT=3.040040e-01 > 1.000000e-01 [71695]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71695/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=2.5] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000446417 [ 0.34 %]\n", + "Velocity : 0.00103775 [ 0.79 %]\n", + "Force : 0.0274182 [ 20.99 %]\n", + "Coefs : 0.0129262 [ 9.90 %]\n", + "Output : 0.00218413 [ 1.67 %]\n", + "Levels : 0.000161484 [ 0.12 %]\n", + "Report : 4.13e-07 [ 0.00 %]\n", + "Balance : 1.97e-07 [ 0.00 %]\n", + "Adjust : 0.0863457 [ 66.11 %]\n", + "Total : 0.130618 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6638 403 83 11 3 2 2 \n", + "1 : 6633 424 71 10 2 2 0 \n", + "2 : 6687 377 66 6 2 1 3 \n", + "3 : 6643 406 76 10 4 1 2 \n", + "4 : 6659 369 100 10 3 0 1 \n", + "5 : 6662 387 77 11 4 0 1 \n", + "6 : 6683 366 80 5 5 2 1 \n", + "7 : 6676 375 81 5 2 1 2 \n", + "8 : 6666 388 72 6 5 4 1 \n", + "9 : 6685 371 74 8 1 1 2 \n", + "10 : 6688 355 85 5 4 4 1 \n", + "11 : 6688 362 81 7 2 1 1 \n", + "12 : 6684 377 68 9 2 1 1 \n", + "13 : 6630 413 96 10 0 4 1 \n", + "\n", + "T : 93322 5373 1110 113 39 24 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6429e-03 sec\n", + "--- Collate = 3.1908e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.137616e-05 < 1.562500e-03 [6]\n", + "--- Max DT=3.040121e-01 > 1.000000e-01 [71702]\n", + "----------------------------------------------------------------------\n", + " Component | low: 6/100000\n", + " Component | high: 71702/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=2.6] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000447431 [ 0.32 %]\n", + "Velocity : 0.00104076 [ 0.75 %]\n", + "Force : 0.0267405 [ 19.37 %]\n", + "Coefs : 0.0125534 [ 9.09 %]\n", + "Output : 0.00204189 [ 1.48 %]\n", + "Levels : 0.000170212 [ 0.12 %]\n", + "Report : 6.76e-07 [ 0.00 %]\n", + "Balance : 2.4e-07 [ 0.00 %]\n", + "Adjust : 0.0949633 [ 68.79 %]\n", + "Total : 0.138053 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6637 403 86 8 5 3 0 \n", + "1 : 6633 424 70 11 2 2 0 \n", + "2 : 6689 376 65 7 1 4 0 \n", + "3 : 6645 405 76 11 3 1 1 \n", + "4 : 6659 370 98 10 2 3 0 \n", + "5 : 6662 386 77 13 2 1 1 \n", + "6 : 6687 362 77 7 6 1 2 \n", + "7 : 6677 376 78 6 3 1 1 \n", + "8 : 6663 391 71 7 6 3 1 \n", + "9 : 6685 371 74 7 2 1 2 \n", + "10 : 6690 350 87 6 4 3 2 \n", + "11 : 6688 362 81 6 3 1 1 \n", + "12 : 6683 377 69 10 2 0 1 \n", + "13 : 6628 412 101 8 2 2 1 \n", + "\n", + "T : 93326 5365 1110 117 43 26 13 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5487e-03 sec\n", + "--- Collate = 2.9268e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.084420e-04 < 1.562500e-03 [7]\n", + "--- Max DT=3.040191e-01 > 1.000000e-01 [71709]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71709/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=2.7] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000462209 [ 0.36 %]\n", + "Velocity : 0.00102825 [ 0.81 %]\n", + "Force : 0.0278875 [ 21.92 %]\n", + "Coefs : 0.0126915 [ 9.97 %]\n", + "Output : 0.00219381 [ 1.72 %]\n", + "Levels : 0.00015367 [ 0.12 %]\n", + "Report : 3.52e-07 [ 0.00 %]\n", + "Balance : 2.49e-07 [ 0.00 %]\n", + "Adjust : 0.0827371 [ 65.02 %]\n", + "Total : 0.127249 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6639 400 86 14 2 0 1 \n", + "1 : 6633 425 69 10 3 2 0 \n", + "2 : 6689 376 64 8 4 1 0 \n", + "3 : 6644 407 75 10 4 1 1 \n", + "4 : 6658 370 98 10 3 2 1 \n", + "5 : 6663 384 79 13 1 1 1 \n", + "6 : 6690 357 78 10 3 1 3 \n", + "7 : 6674 379 80 5 2 1 1 \n", + "8 : 6662 391 72 10 5 0 2 \n", + "9 : 6681 375 73 8 2 2 1 \n", + "10 : 6688 352 89 4 4 1 4 \n", + "11 : 6688 361 81 6 5 0 1 \n", + "12 : 6682 378 68 13 0 0 1 \n", + "13 : 6628 411 103 8 3 1 0 \n", + "\n", + "T : 93319 5366 1115 129 41 13 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6591e-03 sec\n", + "--- Collate = 3.0710e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.256760e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.040249e-01 > 1.000000e-01 [71715]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71715/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=2.8] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000427867 [ 0.35 %]\n", + "Velocity : 0.00102858 [ 0.84 %]\n", + "Force : 0.025786 [ 20.94 %]\n", + "Coefs : 0.0126173 [ 10.25 %]\n", + "Output : 0.0023761 [ 1.93 %]\n", + "Levels : 0.000167826 [ 0.14 %]\n", + "Report : 4.55e-07 [ 0.00 %]\n", + "Balance : 2.57e-07 [ 0.00 %]\n", + "Adjust : 0.0806446 [ 65.49 %]\n", + "Total : 0.123141 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6640 398 90 10 3 0 1 \n", + "1 : 6632 426 69 9 4 1 1 \n", + "2 : 6688 378 63 10 3 0 0 \n", + "3 : 6643 407 77 9 3 2 1 \n", + "4 : 6659 370 97 11 3 0 2 \n", + "5 : 6663 380 85 10 3 0 1 \n", + "6 : 6691 356 78 10 1 3 3 \n", + "7 : 6673 380 79 7 1 1 1 \n", + "8 : 6664 389 72 11 4 0 2 \n", + "9 : 6680 376 72 9 3 1 1 \n", + "10 : 6686 354 89 5 2 2 4 \n", + "11 : 6687 363 82 6 2 2 0 \n", + "12 : 6682 379 67 11 2 1 0 \n", + "13 : 6627 413 104 6 4 0 0 \n", + "\n", + "T : 93315 5369 1124 124 38 13 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6022e-03 sec\n", + "--- Collate = 2.9556e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.283968e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.040296e-01 > 1.000000e-01 [71702]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71702/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=2.9] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000667507 [ 0.54 %]\n", + "Velocity : 0.00107016 [ 0.86 %]\n", + "Force : 0.0265017 [ 21.26 %]\n", + "Coefs : 0.0123937 [ 9.94 %]\n", + "Output : 0.00238511 [ 1.91 %]\n", + "Levels : 0.000173106 [ 0.14 %]\n", + "Report : 4.19e-07 [ 0.00 %]\n", + "Balance : 2.6e-07 [ 0.00 %]\n", + "Adjust : 0.0813463 [ 65.27 %]\n", + "Total : 0.124631 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6639 399 88 10 5 0 1 \n", + "1 : 6632 425 69 10 2 2 2 \n", + "2 : 6689 376 64 9 3 1 0 \n", + "3 : 6645 405 76 11 3 1 1 \n", + "4 : 6659 370 100 8 3 0 2 \n", + "5 : 6663 380 86 9 2 1 1 \n", + "6 : 6690 359 76 10 1 2 4 \n", + "7 : 6674 379 80 6 0 2 1 \n", + "8 : 6664 390 70 12 3 2 1 \n", + "9 : 6680 377 71 9 2 2 1 \n", + "10 : 6687 352 91 5 1 3 3 \n", + "11 : 6688 365 79 6 1 2 1 \n", + "12 : 6681 379 68 11 2 1 0 \n", + "13 : 6628 412 105 7 2 0 0 \n", + "\n", + "T : 93319 5368 1123 123 30 19 18 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5849e-03 sec\n", + "--- Collate = 2.7899e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.617174e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.040332e-01 > 1.000000e-01 [71692]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71692/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=3] -------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000436556 [ 0.33 %]\n", + "Velocity : 0.00100201 [ 0.75 %]\n", + "Force : 0.0262049 [ 19.62 %]\n", + "Coefs : 0.0125648 [ 9.41 %]\n", + "Output : 0.0122333 [ 9.16 %]\n", + "Levels : 0.000164778 [ 0.12 %]\n", + "Report : 6.67e-07 [ 0.00 %]\n", + "Balance : 2.97e-07 [ 0.00 %]\n", + "Adjust : 0.0808571 [ 60.54 %]\n", + "Total : 0.133559 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6639 401 87 10 3 2 0 \n", + "1 : 6632 428 67 9 2 2 2 \n", + "2 : 6690 375 64 10 1 2 0 \n", + "3 : 6643 406 77 9 5 1 1 \n", + "4 : 6660 369 101 8 1 2 1 \n", + "5 : 6665 378 85 10 1 2 1 \n", + "6 : 6688 360 76 11 1 2 4 \n", + "7 : 6674 379 80 6 0 1 2 \n", + "8 : 6666 391 70 11 3 1 0 \n", + "9 : 6680 375 72 9 4 0 2 \n", + "10 : 6686 353 89 7 3 2 2 \n", + "11 : 6691 361 80 6 1 2 1 \n", + "12 : 6680 380 68 10 2 1 1 \n", + "13 : 6627 412 107 5 3 0 0 \n", + "\n", + "T : 93321 5368 1123 121 30 20 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.8212e-03 sec\n", + "--- Collate = 3.4374e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.158444e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.040358e-01 > 1.000000e-01 [71698]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71698/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=3.1] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000257108 [ 0.21 %]\n", + "Velocity : 0.000922109 [ 0.74 %]\n", + "Force : 0.0252651 [ 20.39 %]\n", + "Coefs : 0.0126526 [ 10.21 %]\n", + "Output : 0.00114012 [ 0.92 %]\n", + "Levels : 0.000166837 [ 0.13 %]\n", + "Report : 6.74e-07 [ 0.00 %]\n", + "Balance : 3.4e-07 [ 0.00 %]\n", + "Adjust : 0.0834013 [ 67.32 %]\n", + "Total : 0.123891 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6639 400 88 9 2 3 1 \n", + "1 : 6631 429 66 10 0 2 4 \n", + "2 : 6687 380 63 8 2 1 1 \n", + "3 : 6644 406 76 9 5 1 1 \n", + "4 : 6661 368 102 7 2 2 0 \n", + "5 : 6664 379 86 8 2 1 2 \n", + "6 : 6687 361 78 8 3 1 4 \n", + "7 : 6673 379 80 6 1 2 1 \n", + "8 : 6666 391 72 9 3 1 0 \n", + "9 : 6680 375 71 11 2 2 1 \n", + "10 : 6686 351 91 8 2 2 2 \n", + "11 : 6692 360 78 7 2 1 2 \n", + "12 : 6679 382 68 8 3 0 2 \n", + "13 : 6626 413 106 5 2 2 0 \n", + "\n", + "T : 93315 5374 1125 113 31 21 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7883e-03 sec\n", + "--- Collate = 3.3187e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.893518e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.040371e-01 > 1.000000e-01 [71699]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71699/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=3.2] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00019834 [ 0.16 %]\n", + "Velocity : 0.000474516 [ 0.39 %]\n", + "Force : 0.0260035 [ 21.31 %]\n", + "Coefs : 0.013753 [ 11.27 %]\n", + "Output : 0.00119084 [ 0.98 %]\n", + "Levels : 0.000157382 [ 0.13 %]\n", + "Report : 5.93e-07 [ 0.00 %]\n", + "Balance : 3.28e-07 [ 0.00 %]\n", + "Adjust : 0.0801795 [ 65.70 %]\n", + "Total : 0.122046 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6640 399 86 11 2 1 3 \n", + "1 : 6632 427 66 9 2 3 3 \n", + "2 : 6688 379 62 9 1 2 1 \n", + "3 : 6644 406 75 12 3 2 0 \n", + "4 : 6659 369 102 8 3 0 1 \n", + "5 : 6664 378 88 6 4 0 2 \n", + "6 : 6684 364 80 8 2 2 2 \n", + "7 : 6672 378 82 6 0 3 1 \n", + "8 : 6665 393 69 11 3 0 1 \n", + "9 : 6681 373 72 12 0 3 1 \n", + "10 : 6688 350 89 10 3 0 2 \n", + "11 : 6691 363 75 6 4 1 2 \n", + "12 : 6680 380 69 6 4 1 2 \n", + "13 : 6628 412 104 5 2 1 2 \n", + "\n", + "T : 93316 5371 1119 119 33 19 23 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 5.3471e-03 sec\n", + "--- Collate = 3.5820e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.188126e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.040374e-01 > 1.000000e-01 [71697]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71697/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=3.3] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000192406 [ 0.16 %]\n", + "Velocity : 0.000497454 [ 0.41 %]\n", + "Force : 0.0255852 [ 21.12 %]\n", + "Coefs : 0.0135942 [ 11.22 %]\n", + "Output : 0.000979092 [ 0.81 %]\n", + "Levels : 0.000160726 [ 0.13 %]\n", + "Report : 7.46e-07 [ 0.00 %]\n", + "Balance : 3.24e-07 [ 0.00 %]\n", + "Adjust : 0.0800712 [ 66.08 %]\n", + "Total : 0.121165 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6641 399 87 8 3 0 4 \n", + "1 : 6630 430 66 8 2 5 1 \n", + "2 : 6685 380 65 7 3 0 2 \n", + "3 : 6642 408 77 8 4 3 0 \n", + "4 : 6660 368 100 10 3 0 1 \n", + "5 : 6665 378 85 7 4 2 1 \n", + "6 : 6684 363 82 8 3 1 1 \n", + "7 : 6672 377 83 5 1 2 2 \n", + "8 : 6665 392 71 7 6 0 1 \n", + "9 : 6681 374 72 11 1 2 1 \n", + "10 : 6688 353 86 10 4 1 0 \n", + "11 : 6691 364 74 7 3 1 2 \n", + "12 : 6680 377 71 7 2 3 2 \n", + "13 : 6627 413 105 3 1 2 3 \n", + "\n", + "T : 93311 5376 1124 106 40 22 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 5.2824e-03 sec\n", + "--- Collate = 3.2405e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.870888e-06 < 1.562500e-03 [11]\n", + "--- Max DT=3.040366e-01 > 1.000000e-01 [71699]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71699/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=3.4] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000233218 [ 0.17 %]\n", + "Velocity : 0.000631213 [ 0.46 %]\n", + "Force : 0.0292414 [ 21.13 %]\n", + "Coefs : 0.0152928 [ 11.05 %]\n", + "Output : 0.00167463 [ 1.21 %]\n", + "Levels : 0.000118591 [ 0.09 %]\n", + "Report : 5.56e-07 [ 0.00 %]\n", + "Balance : 2.7e-07 [ 0.00 %]\n", + "Adjust : 0.0911284 [ 65.84 %]\n", + "Total : 0.138418 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6642 400 84 8 4 1 3 \n", + "1 : 6630 432 64 7 7 2 0 \n", + "2 : 6684 381 65 6 4 1 1 \n", + "3 : 6641 409 77 9 2 3 1 \n", + "4 : 6662 366 101 11 1 0 1 \n", + "5 : 6665 378 86 8 2 2 1 \n", + "6 : 6683 365 82 6 3 3 0 \n", + "7 : 6672 375 85 5 1 2 2 \n", + "8 : 6665 392 73 6 4 1 1 \n", + "9 : 6684 370 75 9 2 0 2 \n", + "10 : 6689 352 86 10 3 2 0 \n", + "11 : 6692 361 76 7 2 2 2 \n", + "12 : 6680 377 68 8 4 1 4 \n", + "13 : 6628 412 105 3 1 1 4 \n", + "\n", + "T : 93317 5370 1127 103 40 21 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.8439e-03 sec\n", + "--- Collate = 3.1955e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.524316e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.040347e-01 > 1.000000e-01 [71705]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71705/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=3.5] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000209804 [ 0.16 %]\n", + "Velocity : 0.000519043 [ 0.40 %]\n", + "Force : 0.0282526 [ 22.01 %]\n", + "Coefs : 0.0139297 [ 10.85 %]\n", + "Output : 0.00106913 [ 0.83 %]\n", + "Levels : 0.000142949 [ 0.11 %]\n", + "Report : 5.54e-07 [ 0.00 %]\n", + "Balance : 3.21e-07 [ 0.00 %]\n", + "Adjust : 0.0841699 [ 65.56 %]\n", + "Total : 0.128388 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6645 397 85 7 5 1 2 \n", + "1 : 6631 433 62 7 6 2 1 \n", + "2 : 6683 382 66 4 5 1 1 \n", + "3 : 6643 407 79 8 1 3 1 \n", + "4 : 6662 367 102 9 1 1 0 \n", + "5 : 6662 380 85 11 2 1 1 \n", + "6 : 6681 366 82 5 6 1 1 \n", + "7 : 6670 377 84 6 2 1 2 \n", + "8 : 6665 392 74 4 3 4 0 \n", + "9 : 6683 372 75 9 1 0 2 \n", + "10 : 6688 353 85 9 4 2 1 \n", + "11 : 6691 361 76 8 3 1 2 \n", + "12 : 6679 379 67 8 3 3 3 \n", + "13 : 6629 412 104 3 0 3 3 \n", + "\n", + "T : 93312 5378 1126 98 42 24 20 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 5.0897e-03 sec\n", + "--- Collate = 3.1575e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.137240e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.040318e-01 > 1.000000e-01 [71694]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71694/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=3.6] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000217351 [ 0.19 %]\n", + "Velocity : 0.000485701 [ 0.41 %]\n", + "Force : 0.0251132 [ 21.43 %]\n", + "Coefs : 0.0134507 [ 11.48 %]\n", + "Output : 0.000926519 [ 0.79 %]\n", + "Levels : 0.000161339 [ 0.14 %]\n", + "Report : 3.26e-07 [ 0.00 %]\n", + "Balance : 2.24e-07 [ 0.00 %]\n", + "Adjust : 0.0767282 [ 65.49 %]\n", + "Total : 0.117166 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6647 395 85 8 4 2 1 \n", + "1 : 6632 433 60 7 6 3 1 \n", + "2 : 6684 382 65 4 6 1 0 \n", + "3 : 6643 407 79 7 2 1 3 \n", + "4 : 6661 367 102 10 2 0 0 \n", + "5 : 6661 381 83 14 2 0 1 \n", + "6 : 6680 367 81 7 3 2 2 \n", + "7 : 6669 378 84 7 1 3 0 \n", + "8 : 6662 396 74 2 3 3 2 \n", + "9 : 6685 369 78 8 0 1 1 \n", + "10 : 6688 358 79 8 6 1 2 \n", + "11 : 6690 362 76 10 2 0 2 \n", + "12 : 6677 384 66 7 2 2 4 \n", + "13 : 6629 411 104 4 1 2 3 \n", + "\n", + "T : 93308 5390 1116 103 40 21 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7414e-03 sec\n", + "--- Collate = 2.9447e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.972993e-04 < 1.562500e-03 [15]\n", + "--- Max DT=3.040279e-01 > 1.000000e-01 [71698]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71698/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=3.7] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000248172 [ 0.21 %]\n", + "Velocity : 0.000497729 [ 0.42 %]\n", + "Force : 0.0261379 [ 22.20 %]\n", + "Coefs : 0.0132568 [ 11.26 %]\n", + "Output : 0.000864359 [ 0.73 %]\n", + "Levels : 0.000139543 [ 0.12 %]\n", + "Report : 5.45e-07 [ 0.00 %]\n", + "Balance : 2.83e-07 [ 0.00 %]\n", + "Adjust : 0.0765235 [ 64.99 %]\n", + "Total : 0.117747 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6648 392 86 9 3 3 1 \n", + "1 : 6631 432 63 8 4 1 3 \n", + "2 : 6687 379 64 5 4 3 0 \n", + "3 : 6642 407 80 6 2 2 3 \n", + "4 : 6660 365 107 6 4 0 0 \n", + "5 : 6659 383 82 14 3 1 0 \n", + "6 : 6679 368 81 8 1 1 4 \n", + "7 : 6670 378 84 7 2 1 0 \n", + "8 : 6661 397 74 2 3 2 3 \n", + "9 : 6685 367 80 7 2 1 0 \n", + "10 : 6690 357 80 7 2 3 3 \n", + "11 : 6692 360 76 11 1 0 2 \n", + "12 : 6678 382 68 6 3 2 3 \n", + "13 : 6627 412 105 3 3 2 2 \n", + "\n", + "T : 93309 5379 1130 99 37 22 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 5.4068e-03 sec\n", + "--- Collate = 3.3745e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.064031e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.040231e-01 > 1.000000e-01 [71697]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71697/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=3.8] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000161114 [ 0.14 %]\n", + "Velocity : 0.000466478 [ 0.39 %]\n", + "Force : 0.0258523 [ 21.83 %]\n", + "Coefs : 0.0129161 [ 10.91 %]\n", + "Output : 0.000940914 [ 0.79 %]\n", + "Levels : 0.000153829 [ 0.13 %]\n", + "Report : 9.67e-07 [ 0.00 %]\n", + "Balance : 4.1e-07 [ 0.00 %]\n", + "Adjust : 0.0778605 [ 65.74 %]\n", + "Total : 0.118438 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6647 393 86 9 4 2 1 \n", + "1 : 6632 433 60 9 2 4 2 \n", + "2 : 6687 378 64 6 2 5 0 \n", + "3 : 6642 408 79 6 1 4 2 \n", + "4 : 6660 365 106 9 2 0 0 \n", + "5 : 6659 382 83 14 2 2 0 \n", + "6 : 6679 369 80 8 1 1 4 \n", + "7 : 6669 379 85 6 3 0 0 \n", + "8 : 6659 400 72 2 4 1 4 \n", + "9 : 6686 367 80 7 2 0 0 \n", + "10 : 6690 356 79 10 1 1 5 \n", + "11 : 6691 361 77 9 1 3 0 \n", + "12 : 6675 385 65 8 4 3 2 \n", + "13 : 6626 415 100 6 5 1 1 \n", + "\n", + "T : 93302 5391 1116 109 34 27 21 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 5.2415e-03 sec\n", + "--- Collate = 3.3011e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.780618e-04 < 1.562500e-03 [7]\n", + "--- Max DT=3.040174e-01 > 1.000000e-01 [71693]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71693/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=3.9] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000219324 [ 0.16 %]\n", + "Velocity : 0.000690324 [ 0.51 %]\n", + "Force : 0.0281034 [ 20.58 %]\n", + "Coefs : 0.014505 [ 10.62 %]\n", + "Output : 0.00111832 [ 0.82 %]\n", + "Levels : 0.000175507 [ 0.13 %]\n", + "Report : 6.82e-07 [ 0.00 %]\n", + "Balance : 3.01e-07 [ 0.00 %]\n", + "Adjust : 0.0916461 [ 67.11 %]\n", + "Total : 0.136554 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6647 394 86 9 3 1 2 \n", + "1 : 6631 434 60 11 0 3 3 \n", + "2 : 6687 378 64 7 2 2 2 \n", + "3 : 6641 410 78 6 2 5 0 \n", + "4 : 6660 364 106 8 4 0 0 \n", + "5 : 6658 383 82 15 3 1 0 \n", + "6 : 6682 368 79 7 2 1 3 \n", + "7 : 6669 381 82 7 3 0 0 \n", + "8 : 6659 402 69 5 2 2 3 \n", + "9 : 6686 367 77 9 2 1 0 \n", + "10 : 6688 358 80 9 1 2 4 \n", + "11 : 6691 363 74 10 2 1 1 \n", + "12 : 6672 387 66 7 7 2 1 \n", + "13 : 6625 416 99 7 6 1 0 \n", + "\n", + "T : 93296 5405 1102 117 39 22 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.8900e-03 sec\n", + "--- Collate = 2.7026e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.738290e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.040108e-01 > 1.000000e-01 [71692]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71692/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=4] -------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000173003 [ 0.13 %]\n", + "Velocity : 0.000540905 [ 0.41 %]\n", + "Force : 0.02653 [ 19.90 %]\n", + "Coefs : 0.0133088 [ 9.98 %]\n", + "Output : 0.0126511 [ 9.49 %]\n", + "Levels : 0.000125377 [ 0.09 %]\n", + "Report : 6.72e-07 [ 0.00 %]\n", + "Balance : 5.33e-07 [ 0.00 %]\n", + "Adjust : 0.0799144 [ 59.94 %]\n", + "Total : 0.133329 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6647 392 88 9 3 1 2 \n", + "1 : 6630 435 58 13 2 2 2 \n", + "2 : 6689 376 63 8 2 1 3 \n", + "3 : 6641 408 80 6 3 1 3 \n", + "4 : 6660 364 105 9 3 1 0 \n", + "5 : 6656 389 77 15 4 0 1 \n", + "6 : 6683 367 78 8 2 3 1 \n", + "7 : 6670 380 83 8 1 0 0 \n", + "8 : 6659 402 68 6 1 4 2 \n", + "9 : 6685 369 76 8 2 1 1 \n", + "10 : 6688 359 78 10 2 2 3 \n", + "11 : 6689 366 73 9 4 0 1 \n", + "12 : 6672 388 63 9 6 3 1 \n", + "13 : 6623 417 100 8 5 1 0 \n", + "\n", + "T : 93292 5412 1090 126 40 20 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 5.1790e-03 sec\n", + "--- Collate = 3.1642e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.039401e-06 < 1.562500e-03 [8]\n", + "--- Max DT=3.040034e-01 > 1.000000e-01 [71687]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71687/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=4.1] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000181342 [ 0.14 %]\n", + "Velocity : 0.000593716 [ 0.46 %]\n", + "Force : 0.0281032 [ 21.70 %]\n", + "Coefs : 0.0138461 [ 10.69 %]\n", + "Output : 0.000909557 [ 0.70 %]\n", + "Levels : 0.000116795 [ 0.09 %]\n", + "Report : 6.37e-07 [ 0.00 %]\n", + "Balance : 2.17e-07 [ 0.00 %]\n", + "Adjust : 0.0856705 [ 66.15 %]\n", + "Total : 0.129503 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6647 393 88 7 5 0 2 \n", + "1 : 6632 432 60 13 3 0 2 \n", + "2 : 6693 373 64 5 4 0 3 \n", + "3 : 6640 409 80 6 4 0 3 \n", + "4 : 6660 366 100 12 2 1 1 \n", + "5 : 6655 389 78 15 2 2 1 \n", + "6 : 6682 367 82 5 2 4 0 \n", + "7 : 6672 377 85 8 0 0 0 \n", + "8 : 6662 401 66 5 5 2 1 \n", + "9 : 6683 369 78 8 1 1 2 \n", + "10 : 6687 360 79 6 7 3 0 \n", + "11 : 6688 366 75 8 3 1 1 \n", + "12 : 6672 390 62 8 7 1 2 \n", + "13 : 6625 414 101 9 4 1 0 \n", + "\n", + "T : 93298 5406 1098 115 49 16 18 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 5.1813e-03 sec\n", + "--- Collate = 2.8747e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.356090e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.039950e-01 > 1.000000e-01 [71691]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71691/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=4.2] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000152095 [ 0.12 %]\n", + "Velocity : 0.000404107 [ 0.33 %]\n", + "Force : 0.0267381 [ 21.91 %]\n", + "Coefs : 0.0135981 [ 11.14 %]\n", + "Output : 0.000841488 [ 0.69 %]\n", + "Levels : 0.000109494 [ 0.09 %]\n", + "Report : 5.66e-07 [ 0.00 %]\n", + "Balance : 1.89e-07 [ 0.00 %]\n", + "Adjust : 0.0801174 [ 65.65 %]\n", + "Total : 0.122039 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6648 394 88 7 4 1 0 \n", + "1 : 6632 430 62 14 2 0 2 \n", + "2 : 6692 372 65 4 6 2 1 \n", + "3 : 6642 407 80 6 3 0 4 \n", + "4 : 6659 366 97 15 2 2 1 \n", + "5 : 6655 389 78 17 0 1 2 \n", + "6 : 6683 369 76 8 4 1 1 \n", + "7 : 6668 380 82 11 1 0 0 \n", + "8 : 6660 403 65 7 3 2 2 \n", + "9 : 6683 370 76 9 0 1 3 \n", + "10 : 6689 358 77 8 7 3 0 \n", + "11 : 6688 366 76 8 2 2 0 \n", + "12 : 6671 390 63 7 9 1 1 \n", + "13 : 6625 414 101 7 5 1 1 \n", + "\n", + "T : 93295 5408 1086 128 48 17 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 5.1845e-03 sec\n", + "--- Collate = 3.1745e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.199660e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.039859e-01 > 1.000000e-01 [71684]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71684/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=4.3] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000167163 [ 0.14 %]\n", + "Velocity : 0.000442899 [ 0.36 %]\n", + "Force : 0.0270207 [ 22.13 %]\n", + "Coefs : 0.0132167 [ 10.82 %]\n", + "Output : 0.00084675 [ 0.69 %]\n", + "Levels : 0.000142736 [ 0.12 %]\n", + "Report : 8.2e-07 [ 0.00 %]\n", + "Balance : 2.75e-07 [ 0.00 %]\n", + "Adjust : 0.0801945 [ 65.68 %]\n", + "Total : 0.122107 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6649 393 86 8 4 1 1 \n", + "1 : 6629 432 62 14 3 2 0 \n", + "2 : 6693 371 65 5 6 2 0 \n", + "3 : 6640 407 82 8 1 3 1 \n", + "4 : 6655 370 97 15 2 2 1 \n", + "5 : 6656 389 76 17 1 1 2 \n", + "6 : 6685 367 76 7 5 0 2 \n", + "7 : 6671 378 80 12 1 0 0 \n", + "8 : 6657 406 66 8 2 1 2 \n", + "9 : 6683 368 77 10 0 2 2 \n", + "10 : 6690 357 78 7 9 1 0 \n", + "11 : 6689 364 77 8 3 0 1 \n", + "12 : 6670 390 64 7 8 1 2 \n", + "13 : 6627 410 102 10 3 0 2 \n", + "\n", + "T : 93294 5402 1088 136 48 16 16 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 5.2197e-03 sec\n", + "--- Collate = 2.9011e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.972677e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.039759e-01 > 1.000000e-01 [71685]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71685/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=4.4] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000156923 [ 0.13 %]\n", + "Velocity : 0.000410581 [ 0.34 %]\n", + "Force : 0.0258023 [ 21.40 %]\n", + "Coefs : 0.0130842 [ 10.85 %]\n", + "Output : 0.000838313 [ 0.70 %]\n", + "Levels : 0.000113735 [ 0.09 %]\n", + "Report : 6.65e-07 [ 0.00 %]\n", + "Balance : 2.33e-07 [ 0.00 %]\n", + "Adjust : 0.0800956 [ 66.43 %]\n", + "Total : 0.120579 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6649 395 85 7 4 0 2 \n", + "1 : 6629 431 65 13 3 1 0 \n", + "2 : 6693 372 63 6 4 4 0 \n", + "3 : 6639 408 80 10 3 1 1 \n", + "4 : 6654 371 97 14 2 2 2 \n", + "5 : 6655 390 78 13 4 0 2 \n", + "6 : 6683 369 76 8 3 0 3 \n", + "7 : 6670 381 80 9 1 1 0 \n", + "8 : 6657 406 68 7 2 0 2 \n", + "9 : 6683 367 74 13 1 2 2 \n", + "10 : 6689 358 78 8 8 0 1 \n", + "11 : 6689 364 76 9 3 0 1 \n", + "12 : 6671 389 65 7 5 4 1 \n", + "13 : 6627 412 103 5 5 0 2 \n", + "\n", + "T : 93288 5413 1088 129 48 15 19 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 5.0075e-03 sec\n", + "--- Collate = 3.0213e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.964103e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.039649e-01 > 1.000000e-01 [71689]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71689/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=4.5] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000152404 [ 0.12 %]\n", + "Velocity : 0.000427516 [ 0.34 %]\n", + "Force : 0.0267142 [ 21.41 %]\n", + "Coefs : 0.0132129 [ 10.59 %]\n", + "Output : 0.000857717 [ 0.69 %]\n", + "Levels : 0.000124472 [ 0.10 %]\n", + "Report : 6.04e-07 [ 0.00 %]\n", + "Balance : 2.74e-07 [ 0.00 %]\n", + "Adjust : 0.083167 [ 66.67 %]\n", + "Total : 0.124746 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6648 396 84 9 3 0 2 \n", + "1 : 6631 430 66 11 3 0 1 \n", + "2 : 6691 376 62 6 4 1 2 \n", + "3 : 6638 409 79 12 2 2 0 \n", + "4 : 6654 372 94 15 3 2 2 \n", + "5 : 6656 388 80 12 3 2 1 \n", + "6 : 6681 370 76 8 4 1 2 \n", + "7 : 6669 384 80 6 2 0 1 \n", + "8 : 6659 402 70 7 0 4 0 \n", + "9 : 6683 366 77 11 2 2 1 \n", + "10 : 6689 356 81 10 5 0 1 \n", + "11 : 6689 363 76 10 3 0 1 \n", + "12 : 6672 389 65 7 3 3 3 \n", + "13 : 6628 411 103 5 4 2 1 \n", + "\n", + "T : 93288 5412 1093 129 41 19 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.9088e-03 sec\n", + "--- Collate = 2.7904e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.220619e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.039531e-01 > 1.000000e-01 [71692]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71692/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=4.6] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000177447 [ 0.15 %]\n", + "Velocity : 0.000415444 [ 0.36 %]\n", + "Force : 0.0262185 [ 22.45 %]\n", + "Coefs : 0.0133244 [ 11.41 %]\n", + "Output : 0.000795249 [ 0.68 %]\n", + "Levels : 0.000106619 [ 0.09 %]\n", + "Report : 5.59e-07 [ 0.00 %]\n", + "Balance : 1.1e-07 [ 0.00 %]\n", + "Adjust : 0.0756766 [ 64.80 %]\n", + "Total : 0.116789 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6648 397 81 11 2 2 1 \n", + "1 : 6629 430 68 11 1 2 1 \n", + "2 : 6689 378 62 8 1 2 2 \n", + "3 : 6637 410 80 12 1 2 0 \n", + "4 : 6654 372 92 12 9 1 2 \n", + "5 : 6657 387 80 11 3 4 0 \n", + "6 : 6680 370 76 9 2 4 1 \n", + "7 : 6668 386 80 2 4 1 1 \n", + "8 : 6660 401 70 6 2 3 0 \n", + "9 : 6683 365 79 11 1 2 1 \n", + "10 : 6688 358 80 11 4 0 1 \n", + "11 : 6689 363 77 11 1 1 0 \n", + "12 : 6670 391 67 7 2 3 2 \n", + "13 : 6630 410 100 6 3 5 0 \n", + "\n", + "T : 93282 5418 1092 128 36 32 12 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.8614e-03 sec\n", + "--- Collate = 2.9150e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.915349e-04 < 1.562500e-03 [5]\n", + "--- Max DT=3.039405e-01 > 1.000000e-01 [71689]\n", + "----------------------------------------------------------------------\n", + " Component | low: 5/100000\n", + " Component | high: 71689/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=4.7] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000148956 [ 0.13 %]\n", + "Velocity : 0.00038318 [ 0.33 %]\n", + "Force : 0.0251445 [ 21.90 %]\n", + "Coefs : 0.0125106 [ 10.89 %]\n", + "Output : 0.000967911 [ 0.84 %]\n", + "Levels : 0.000129447 [ 0.11 %]\n", + "Report : 5.33e-07 [ 0.00 %]\n", + "Balance : 3.51e-07 [ 0.00 %]\n", + "Adjust : 0.0754761 [ 65.72 %]\n", + "Total : 0.114838 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6647 395 84 11 2 3 0 \n", + "1 : 6630 429 69 10 1 1 2 \n", + "2 : 6689 378 62 7 3 1 2 \n", + "3 : 6639 408 81 11 2 1 0 \n", + "4 : 6655 373 92 11 8 2 1 \n", + "5 : 6659 384 83 10 2 2 2 \n", + "6 : 6679 371 74 10 5 2 1 \n", + "7 : 6668 386 80 1 5 0 2 \n", + "8 : 6660 401 70 6 2 3 0 \n", + "9 : 6683 365 79 10 4 1 0 \n", + "10 : 6689 357 79 12 3 2 0 \n", + "11 : 6690 362 78 10 2 0 0 \n", + "12 : 6669 393 66 7 3 0 4 \n", + "13 : 6630 411 98 7 5 2 1 \n", + "\n", + "T : 93287 5413 1095 123 47 20 15 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7419e-03 sec\n", + "--- Collate = 2.6495e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.521776e-04 < 1.562500e-03 [12]\n", + "--- Max DT=3.039271e-01 > 1.000000e-01 [71692]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71692/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=4.8] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000154512 [ 0.14 %]\n", + "Velocity : 0.000378412 [ 0.33 %]\n", + "Force : 0.0248882 [ 21.95 %]\n", + "Coefs : 0.0129684 [ 11.44 %]\n", + "Output : 0.000765694 [ 0.68 %]\n", + "Levels : 0.000111091 [ 0.10 %]\n", + "Report : 6.79e-07 [ 0.00 %]\n", + "Balance : 2.32e-07 [ 0.00 %]\n", + "Adjust : 0.0740578 [ 65.31 %]\n", + "Total : 0.113396 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6647 396 84 8 3 4 0 \n", + "1 : 6630 428 72 9 0 1 2 \n", + "2 : 6689 378 61 7 4 3 0 \n", + "3 : 6641 407 82 8 3 0 1 \n", + "4 : 6657 370 92 12 9 0 2 \n", + "5 : 6657 386 83 10 2 0 4 \n", + "6 : 6680 369 77 7 5 2 2 \n", + "7 : 6668 386 80 1 3 3 1 \n", + "8 : 6661 399 71 8 1 1 1 \n", + "9 : 6682 366 79 10 4 0 1 \n", + "10 : 6685 361 82 11 1 1 1 \n", + "11 : 6689 364 77 11 1 0 0 \n", + "12 : 6668 393 67 5 4 3 2 \n", + "13 : 6629 411 98 9 4 0 3 \n", + "\n", + "T : 93283 5414 1105 116 44 18 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7719e-03 sec\n", + "--- Collate = 3.2358e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.169904e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.039128e-01 > 1.000000e-01 [71682]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71682/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=4.9] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000143857 [ 0.12 %]\n", + "Velocity : 0.000413254 [ 0.35 %]\n", + "Force : 0.0255738 [ 21.69 %]\n", + "Coefs : 0.0128099 [ 10.87 %]\n", + "Output : 0.000833685 [ 0.71 %]\n", + "Levels : 0.000115146 [ 0.10 %]\n", + "Report : 6.45e-07 [ 0.00 %]\n", + "Balance : 3.04e-07 [ 0.00 %]\n", + "Adjust : 0.0779116 [ 66.09 %]\n", + "Total : 0.11788 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6647 396 84 9 4 1 1 \n", + "1 : 6631 427 74 6 2 0 2 \n", + "2 : 6689 379 61 5 6 2 0 \n", + "3 : 6640 409 81 7 3 1 1 \n", + "4 : 6657 370 92 13 2 6 2 \n", + "5 : 6658 386 79 11 3 1 4 \n", + "6 : 6680 369 75 10 4 1 3 \n", + "7 : 6666 388 81 0 2 4 1 \n", + "8 : 6660 399 71 7 4 0 1 \n", + "9 : 6686 365 76 11 2 0 2 \n", + "10 : 6684 365 79 10 3 0 1 \n", + "11 : 6690 363 75 13 1 0 0 \n", + "12 : 6668 391 71 3 3 4 2 \n", + "13 : 6629 410 98 9 5 0 3 \n", + "\n", + "T : 93285 5417 1097 114 44 20 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 5.1549e-03 sec\n", + "--- Collate = 4.7273e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.520747e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.038977e-01 > 1.000000e-01 [71678]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71678/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=5] -------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000179997 [ 0.12 %]\n", + "Velocity : 0.000534525 [ 0.35 %]\n", + "Force : 0.0390677 [ 25.92 %]\n", + "Coefs : 0.0135306 [ 8.98 %]\n", + "Output : 0.0149778 [ 9.94 %]\n", + "Levels : 0.000166934 [ 0.11 %]\n", + "Report : 6.49e-07 [ 0.00 %]\n", + "Balance : 5.77e-07 [ 0.00 %]\n", + "Adjust : 0.082158 [ 54.52 %]\n", + "Total : 0.150703 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6648 396 83 9 4 1 1 \n", + "1 : 6633 424 76 5 1 3 0 \n", + "2 : 6689 380 60 7 4 2 0 \n", + "3 : 6642 406 81 8 3 0 2 \n", + "4 : 6657 367 96 10 3 7 2 \n", + "5 : 6659 385 79 11 2 3 3 \n", + "6 : 6684 369 72 8 5 2 2 \n", + "7 : 6668 386 81 1 2 2 2 \n", + "8 : 6659 401 70 8 1 2 1 \n", + "9 : 6684 370 75 9 0 2 2 \n", + "10 : 6687 361 82 7 3 1 1 \n", + "11 : 6689 365 73 14 1 0 0 \n", + "12 : 6668 390 72 3 4 4 1 \n", + "13 : 6626 414 96 10 4 2 2 \n", + "\n", + "T : 93293 5414 1096 110 37 31 19 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.8183e-03 sec\n", + "--- Collate = 3.4816e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.101057e-04 < 1.562500e-03 [8]\n", + "--- Max DT=3.038818e-01 > 1.000000e-01 [71670]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71670/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=5.1] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000524042 [ 0.37 %]\n", + "Velocity : 0.00116218 [ 0.81 %]\n", + "Force : 0.030045 [ 20.96 %]\n", + "Coefs : 0.0232692 [ 16.23 %]\n", + "Output : 0.0017252 [ 1.20 %]\n", + "Levels : 9.2069e-05 [ 0.06 %]\n", + "Report : 3.63e-07 [ 0.00 %]\n", + "Balance : 1.91e-07 [ 0.00 %]\n", + "Adjust : 0.0864654 [ 60.31 %]\n", + "Total : 0.143376 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6646 398 84 9 4 0 1 \n", + "1 : 6633 424 76 5 3 0 1 \n", + "2 : 6690 379 60 7 3 2 1 \n", + "3 : 6644 406 80 8 2 0 2 \n", + "4 : 6654 370 96 9 6 2 5 \n", + "5 : 6657 387 79 10 3 4 2 \n", + "6 : 6683 370 71 7 4 6 1 \n", + "7 : 6667 387 80 3 1 1 3 \n", + "8 : 6657 400 72 9 1 3 0 \n", + "9 : 6684 371 76 7 0 3 1 \n", + "10 : 6688 359 83 7 3 2 0 \n", + "11 : 6688 366 74 13 1 0 0 \n", + "12 : 6670 387 72 4 6 1 2 \n", + "13 : 6626 413 94 16 2 2 1 \n", + "\n", + "T : 93287 5417 1097 114 39 26 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7852e-03 sec\n", + "--- Collate = 4.3353e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.397258e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.038650e-01 > 1.000000e-01 [71673]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71673/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=5.2] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000158504 [ 0.14 %]\n", + "Velocity : 0.000399267 [ 0.35 %]\n", + "Force : 0.0251844 [ 22.04 %]\n", + "Coefs : 0.0124992 [ 10.94 %]\n", + "Output : 0.000944829 [ 0.83 %]\n", + "Levels : 9.6085e-05 [ 0.08 %]\n", + "Report : 4.63e-07 [ 0.00 %]\n", + "Balance : 1.71e-07 [ 0.00 %]\n", + "Adjust : 0.0749008 [ 65.55 %]\n", + "Total : 0.114261 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6646 397 86 9 4 0 0 \n", + "1 : 6632 424 76 8 1 0 1 \n", + "2 : 6692 378 59 7 3 2 1 \n", + "3 : 6643 407 81 7 1 1 2 \n", + "4 : 6654 369 99 9 2 3 6 \n", + "5 : 6658 384 82 9 4 3 2 \n", + "6 : 6683 367 74 7 7 2 2 \n", + "7 : 6665 389 80 3 2 0 3 \n", + "8 : 6657 400 71 10 2 1 1 \n", + "9 : 6683 375 74 3 4 1 2 \n", + "10 : 6687 360 83 9 2 0 1 \n", + "11 : 6684 369 77 11 1 0 0 \n", + "12 : 6672 386 71 5 5 1 2 \n", + "13 : 6625 412 96 14 6 0 1 \n", + "\n", + "T : 93281 5417 1109 111 44 14 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7428e-03 sec\n", + "--- Collate = 4.4236e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.826679e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.038474e-01 > 1.000000e-01 [71677]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71677/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=5.3] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000159901 [ 0.14 %]\n", + "Velocity : 0.000382996 [ 0.33 %]\n", + "Force : 0.0249687 [ 21.74 %]\n", + "Coefs : 0.0122637 [ 10.68 %]\n", + "Output : 0.000930158 [ 0.81 %]\n", + "Levels : 9.2007e-05 [ 0.08 %]\n", + "Report : 4.88e-07 [ 0.00 %]\n", + "Balance : 2.81e-07 [ 0.00 %]\n", + "Adjust : 0.0759884 [ 66.16 %]\n", + "Total : 0.11486 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6644 397 87 9 4 1 0 \n", + "1 : 6634 423 74 8 2 0 1 \n", + "2 : 6694 376 59 7 3 2 1 \n", + "3 : 6642 409 80 7 1 2 1 \n", + "4 : 6654 369 97 12 1 2 7 \n", + "5 : 6657 386 80 11 4 1 3 \n", + "6 : 6682 369 74 7 6 1 3 \n", + "7 : 6669 385 79 3 3 2 1 \n", + "8 : 6658 399 71 9 4 0 1 \n", + "9 : 6682 377 74 2 4 1 2 \n", + "10 : 6688 360 83 9 1 0 1 \n", + "11 : 6684 369 76 11 2 0 0 \n", + "12 : 6670 387 71 7 4 1 2 \n", + "13 : 6626 411 97 12 6 1 1 \n", + "\n", + "T : 93284 5417 1102 114 45 14 24 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7555e-03 sec\n", + "--- Collate = 3.6616e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.466342e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.038290e-01 > 1.000000e-01 [71679]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71679/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=5.4] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000148331 [ 0.13 %]\n", + "Velocity : 0.000413813 [ 0.36 %]\n", + "Force : 0.025253 [ 21.99 %]\n", + "Coefs : 0.0122396 [ 10.66 %]\n", + "Output : 0.000859928 [ 0.75 %]\n", + "Levels : 0.000143273 [ 0.12 %]\n", + "Report : 6.78e-07 [ 0.00 %]\n", + "Balance : 2.75e-07 [ 0.00 %]\n", + "Adjust : 0.0756935 [ 65.92 %]\n", + "Total : 0.114824 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6645 396 89 9 0 2 1 \n", + "1 : 6636 418 74 12 1 1 0 \n", + "2 : 6694 375 62 6 4 1 0 \n", + "3 : 6643 408 81 6 2 0 2 \n", + "4 : 6652 372 98 7 7 3 3 \n", + "5 : 6659 385 78 12 4 2 2 \n", + "6 : 6682 369 76 8 1 3 3 \n", + "7 : 6669 388 76 5 3 1 0 \n", + "8 : 6659 398 72 8 4 0 1 \n", + "9 : 6680 380 71 5 2 2 2 \n", + "10 : 6689 359 83 8 2 0 1 \n", + "11 : 6683 369 77 10 2 1 0 \n", + "12 : 6672 385 71 8 4 1 1 \n", + "13 : 6624 411 99 12 5 2 1 \n", + "\n", + "T : 93287 5413 1107 116 41 19 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.8859e-03 sec\n", + "--- Collate = 3.8734e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.302261e-06 < 1.562500e-03 [8]\n", + "--- Max DT=3.038249e-01 > 1.000000e-01 [71680]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71680/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=5.5] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000191782 [ 0.16 %]\n", + "Velocity : 0.000545988 [ 0.47 %]\n", + "Force : 0.0252521 [ 21.70 %]\n", + "Coefs : 0.0121656 [ 10.45 %]\n", + "Output : 0.0012454 [ 1.07 %]\n", + "Levels : 0.000108837 [ 0.09 %]\n", + "Report : 3.49e-07 [ 0.00 %]\n", + "Balance : 2.13e-07 [ 0.00 %]\n", + "Adjust : 0.0767712 [ 65.97 %]\n", + "Total : 0.11638 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6644 397 87 11 0 2 1 \n", + "1 : 6639 416 70 14 3 0 0 \n", + "2 : 6694 374 63 4 5 2 0 \n", + "3 : 6641 410 79 9 1 1 1 \n", + "4 : 6651 373 99 8 5 2 4 \n", + "5 : 6658 386 76 14 3 3 2 \n", + "6 : 6682 369 75 8 1 4 3 \n", + "7 : 6669 392 71 7 3 0 0 \n", + "8 : 6657 398 75 8 2 2 0 \n", + "9 : 6680 379 72 5 1 3 2 \n", + "10 : 6690 359 82 7 3 0 1 \n", + "11 : 6682 370 76 11 2 0 1 \n", + "12 : 6672 385 70 8 4 2 1 \n", + "13 : 6621 414 99 12 4 2 2 \n", + "\n", + "T : 93280 5422 1094 126 37 23 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7321e-03 sec\n", + "--- Collate = 3.0376e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.134548e-06 < 1.562500e-03 [7]\n", + "--- Max DT=3.038254e-01 > 1.000000e-01 [71686]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71686/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=5.6] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00019739 [ 0.17 %]\n", + "Velocity : 0.000500717 [ 0.42 %]\n", + "Force : 0.0261379 [ 22.01 %]\n", + "Coefs : 0.0125619 [ 10.58 %]\n", + "Output : 0.00130715 [ 1.10 %]\n", + "Levels : 0.000109494 [ 0.09 %]\n", + "Report : 4.77e-07 [ 0.00 %]\n", + "Balance : 1.62e-07 [ 0.00 %]\n", + "Adjust : 0.0778353 [ 65.55 %]\n", + "Total : 0.118735 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6642 400 87 8 2 1 2 \n", + "1 : 6638 420 69 11 3 0 1 \n", + "2 : 6694 375 62 4 6 1 0 \n", + "3 : 6642 408 82 6 2 1 1 \n", + "4 : 6653 373 95 9 5 4 3 \n", + "5 : 6659 384 77 13 5 3 1 \n", + "6 : 6681 370 75 6 6 1 3 \n", + "7 : 6668 392 71 8 3 0 0 \n", + "8 : 6656 399 74 10 1 1 1 \n", + "9 : 6679 383 68 6 3 1 2 \n", + "10 : 6692 357 82 7 2 1 1 \n", + "11 : 6682 369 77 11 2 0 1 \n", + "12 : 6673 385 70 8 4 1 1 \n", + "13 : 6623 413 99 11 3 3 2 \n", + "\n", + "T : 93282 5428 1088 118 47 18 19 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7645e-03 sec\n", + "--- Collate = 3.6478e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.226933e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.038257e-01 > 1.000000e-01 [71693]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71693/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=5.7] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00015635 [ 0.14 %]\n", + "Velocity : 0.000426828 [ 0.37 %]\n", + "Force : 0.0250451 [ 21.90 %]\n", + "Coefs : 0.0124037 [ 10.84 %]\n", + "Output : 0.000890348 [ 0.78 %]\n", + "Levels : 0.000172829 [ 0.15 %]\n", + "Report : 6.56e-07 [ 0.00 %]\n", + "Balance : 4.04e-07 [ 0.00 %]\n", + "Adjust : 0.0752043 [ 65.75 %]\n", + "Total : 0.114373 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6643 398 87 8 4 1 1 \n", + "1 : 6643 415 69 10 4 0 1 \n", + "2 : 6695 375 61 4 5 2 0 \n", + "3 : 6641 407 83 8 3 0 0 \n", + "4 : 6653 373 94 8 4 6 4 \n", + "5 : 6658 383 80 13 3 3 2 \n", + "6 : 6681 369 76 7 3 2 4 \n", + "7 : 6668 391 72 8 2 1 0 \n", + "8 : 6657 398 73 10 2 1 1 \n", + "9 : 6678 384 66 11 0 0 3 \n", + "10 : 6694 356 83 6 1 0 2 \n", + "11 : 6682 369 77 11 1 1 1 \n", + "12 : 6674 386 69 8 3 1 1 \n", + "13 : 6623 413 100 9 6 2 1 \n", + "\n", + "T : 93290 5417 1090 121 41 20 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7709e-03 sec\n", + "--- Collate = 3.8290e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.850282e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.038261e-01 > 1.000000e-01 [71690]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71690/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=5.8] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000191226 [ 0.16 %]\n", + "Velocity : 0.00052823 [ 0.45 %]\n", + "Force : 0.0259931 [ 22.25 %]\n", + "Coefs : 0.0129477 [ 11.08 %]\n", + "Output : 0.00108669 [ 0.93 %]\n", + "Levels : 0.000119714 [ 0.10 %]\n", + "Report : 5.96e-07 [ 0.00 %]\n", + "Balance : 2.08e-07 [ 0.00 %]\n", + "Adjust : 0.0758808 [ 64.95 %]\n", + "Total : 0.116838 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6643 397 87 8 5 1 1 \n", + "1 : 6642 416 69 11 1 2 1 \n", + "2 : 6695 374 62 5 2 3 1 \n", + "3 : 6641 408 80 9 2 1 1 \n", + "4 : 6654 373 94 6 7 3 5 \n", + "5 : 6662 380 77 15 4 1 3 \n", + "6 : 6680 370 77 5 4 3 3 \n", + "7 : 6669 388 74 7 2 0 2 \n", + "8 : 6657 401 74 6 2 0 2 \n", + "9 : 6677 385 65 12 0 1 2 \n", + "10 : 6694 355 83 7 1 1 1 \n", + "11 : 6681 369 78 10 2 1 1 \n", + "12 : 6677 381 70 10 2 1 1 \n", + "13 : 6623 412 102 9 4 4 0 \n", + "\n", + "T : 93295 5409 1092 120 38 22 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7942e-03 sec\n", + "--- Collate = 3.3784e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.386971e-06 < 1.562500e-03 [12]\n", + "--- Max DT=3.038265e-01 > 1.000000e-01 [71695]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71695/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=5.9] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000171817 [ 0.15 %]\n", + "Velocity : 0.000448746 [ 0.38 %]\n", + "Force : 0.0253484 [ 21.46 %]\n", + "Coefs : 0.0130222 [ 11.02 %]\n", + "Output : 0.000884954 [ 0.75 %]\n", + "Levels : 8.7469e-05 [ 0.07 %]\n", + "Report : 5.08e-07 [ 0.00 %]\n", + "Balance : 1.85e-07 [ 0.00 %]\n", + "Adjust : 0.0780729 [ 66.10 %]\n", + "Total : 0.118118 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6644 396 87 8 6 1 0 \n", + "1 : 6642 417 68 10 2 2 1 \n", + "2 : 6697 372 63 6 1 2 1 \n", + "3 : 6642 407 80 9 2 1 1 \n", + "4 : 6654 374 91 10 5 1 7 \n", + "5 : 6660 383 75 14 6 2 2 \n", + "6 : 6682 368 78 5 4 3 2 \n", + "7 : 6668 391 73 5 2 1 2 \n", + "8 : 6658 399 76 5 2 1 1 \n", + "9 : 6676 384 67 12 1 1 1 \n", + "10 : 6694 354 84 7 0 2 1 \n", + "11 : 6681 367 79 10 3 1 1 \n", + "12 : 6677 378 74 9 1 3 0 \n", + "13 : 6624 412 99 12 6 0 1 \n", + "\n", + "T : 93299 5402 1094 122 41 21 21 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.9955e-03 sec\n", + "--- Collate = 3.1663e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.126584e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.038266e-01 > 1.000000e-01 [71695]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71695/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=6] -------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000154394 [ 0.12 %]\n", + "Velocity : 0.00041958 [ 0.31 %]\n", + "Force : 0.026247 [ 19.70 %]\n", + "Coefs : 0.0129581 [ 9.72 %]\n", + "Output : 0.0122539 [ 9.20 %]\n", + "Levels : 0.000111788 [ 0.08 %]\n", + "Report : 5.81e-07 [ 0.00 %]\n", + "Balance : 4.85e-07 [ 0.00 %]\n", + "Adjust : 0.0810204 [ 60.80 %]\n", + "Total : 0.133246 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6644 396 87 6 8 1 0 \n", + "1 : 6643 415 69 10 1 2 2 \n", + "2 : 6698 371 62 7 1 2 1 \n", + "3 : 6643 408 79 8 2 0 2 \n", + "4 : 6653 375 90 11 5 4 4 \n", + "5 : 6659 385 74 15 6 2 1 \n", + "6 : 6681 367 77 7 6 1 3 \n", + "7 : 6669 389 74 5 2 0 3 \n", + "8 : 6661 397 75 5 2 1 1 \n", + "9 : 6678 383 66 9 6 0 0 \n", + "10 : 6695 352 85 7 0 3 0 \n", + "11 : 6682 365 81 8 5 0 1 \n", + "12 : 6676 376 79 7 1 1 2 \n", + "13 : 6622 416 98 10 7 0 1 \n", + "\n", + "T : 93304 5395 1096 115 52 17 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6377e-03 sec\n", + "--- Collate = 3.2072e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.199135e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.038268e-01 > 1.000000e-01 [71697]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71697/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=6.1] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000391191 [ 0.32 %]\n", + "Velocity : 0.00100813 [ 0.82 %]\n", + "Force : 0.0261802 [ 21.37 %]\n", + "Coefs : 0.0118946 [ 9.71 %]\n", + "Output : 0.00216859 [ 1.77 %]\n", + "Levels : 0.000176454 [ 0.14 %]\n", + "Report : 4.61e-07 [ 0.00 %]\n", + "Balance : 2.46e-07 [ 0.00 %]\n", + "Adjust : 0.0806093 [ 65.79 %]\n", + "Total : 0.122523 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6642 397 90 5 5 3 0 \n", + "1 : 6644 415 67 10 3 0 3 \n", + "2 : 6697 375 60 5 2 2 1 \n", + "3 : 6642 409 82 6 1 1 1 \n", + "4 : 6654 376 88 14 2 5 3 \n", + "5 : 6660 384 74 16 3 5 0 \n", + "6 : 6683 364 78 7 3 5 2 \n", + "7 : 6666 391 76 4 2 2 1 \n", + "8 : 6663 395 75 6 2 1 0 \n", + "9 : 6677 384 67 8 4 2 0 \n", + "10 : 6693 354 85 7 2 1 0 \n", + "11 : 6679 365 84 7 3 4 0 \n", + "12 : 6675 376 79 9 1 0 2 \n", + "13 : 6624 414 98 11 4 2 1 \n", + "\n", + "T : 93299 5399 1103 115 37 33 14 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6159e-03 sec\n", + "--- Collate = 3.1192e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.311804e-05 < 1.562500e-03 [5]\n", + "--- Max DT=3.038268e-01 > 1.000000e-01 [71673]\n", + "----------------------------------------------------------------------\n", + " Component | low: 5/100000\n", + " Component | high: 71673/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=6.2] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000411062 [ 0.34 %]\n", + "Velocity : 0.00098772 [ 0.83 %]\n", + "Force : 0.0253678 [ 21.29 %]\n", + "Coefs : 0.0118199 [ 9.92 %]\n", + "Output : 0.00217062 [ 1.82 %]\n", + "Levels : 0.000154479 [ 0.13 %]\n", + "Report : 3.13e-07 [ 0.00 %]\n", + "Balance : 2.62e-07 [ 0.00 %]\n", + "Adjust : 0.0781503 [ 65.59 %]\n", + "Total : 0.119156 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6640 400 85 9 4 3 1 \n", + "1 : 6642 418 68 8 3 1 2 \n", + "2 : 6697 375 60 5 2 2 1 \n", + "3 : 6643 408 82 6 1 1 1 \n", + "4 : 6654 375 90 11 7 5 0 \n", + "5 : 6657 388 77 12 3 3 2 \n", + "6 : 6685 363 78 9 1 2 4 \n", + "7 : 6663 392 78 5 1 2 1 \n", + "8 : 6661 395 78 6 1 0 1 \n", + "9 : 6676 385 69 8 2 1 1 \n", + "10 : 6693 354 86 5 3 0 1 \n", + "11 : 6679 367 82 7 3 3 1 \n", + "12 : 6677 375 78 8 2 0 2 \n", + "13 : 6625 414 96 14 1 3 1 \n", + "\n", + "T : 93292 5409 1107 113 34 26 19 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6582e-03 sec\n", + "--- Collate = 3.0463e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.086614e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.038269e-01 > 1.000000e-01 [71674]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71674/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=6.3] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000427703 [ 0.35 %]\n", + "Velocity : 0.00102798 [ 0.84 %]\n", + "Force : 0.0259323 [ 21.08 %]\n", + "Coefs : 0.0123179 [ 10.01 %]\n", + "Output : 0.00225954 [ 1.84 %]\n", + "Levels : 0.000148579 [ 0.12 %]\n", + "Report : 2.81e-07 [ 0.00 %]\n", + "Balance : 2.47e-07 [ 0.00 %]\n", + "Adjust : 0.0808196 [ 65.69 %]\n", + "Total : 0.123036 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6641 400 83 10 3 2 3 \n", + "1 : 6642 418 68 8 2 3 1 \n", + "2 : 6699 373 60 6 3 0 1 \n", + "3 : 6642 409 82 5 3 1 0 \n", + "4 : 6654 375 90 13 6 3 1 \n", + "5 : 6656 389 78 9 4 2 4 \n", + "6 : 6686 364 75 9 4 1 3 \n", + "7 : 6663 392 78 5 2 2 0 \n", + "8 : 6660 397 76 7 0 1 1 \n", + "9 : 6674 384 72 7 2 1 2 \n", + "10 : 6694 354 84 5 4 0 1 \n", + "11 : 6677 370 81 8 1 2 3 \n", + "12 : 6678 373 79 9 1 1 1 \n", + "13 : 6624 414 98 13 0 3 2 \n", + "\n", + "T : 93290 5412 1104 114 35 22 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6360e-03 sec\n", + "--- Collate = 3.1736e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.406419e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.038267e-01 > 1.000000e-01 [71677]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71677/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=6.4] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000433684 [ 0.36 %]\n", + "Velocity : 0.00102942 [ 0.84 %]\n", + "Force : 0.0261163 [ 21.40 %]\n", + "Coefs : 0.012097 [ 9.91 %]\n", + "Output : 0.00223957 [ 1.84 %]\n", + "Levels : 0.000146013 [ 0.12 %]\n", + "Report : 2.63e-07 [ 0.00 %]\n", + "Balance : 2.65e-07 [ 0.00 %]\n", + "Adjust : 0.0798747 [ 65.45 %]\n", + "Total : 0.122032 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6640 400 84 11 1 2 4 \n", + "1 : 6642 418 71 7 1 2 1 \n", + "2 : 6699 372 62 4 3 2 0 \n", + "3 : 6643 409 80 7 3 0 0 \n", + "4 : 6655 374 90 13 7 1 2 \n", + "5 : 6657 389 75 9 4 4 4 \n", + "6 : 6686 363 74 11 4 2 2 \n", + "7 : 6663 391 80 3 3 1 1 \n", + "8 : 6665 393 74 8 0 0 2 \n", + "9 : 6670 388 72 7 0 2 3 \n", + "10 : 6696 354 81 7 3 0 1 \n", + "11 : 6678 368 82 7 1 2 4 \n", + "12 : 6677 374 79 9 2 1 0 \n", + "13 : 6624 415 97 12 3 1 2 \n", + "\n", + "T : 93295 5408 1101 115 35 20 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6246e-03 sec\n", + "--- Collate = 3.0583e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.649260e-06 < 1.562500e-03 [13]\n", + "--- Max DT=3.038261e-01 > 1.000000e-01 [71674]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71674/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=6.5] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000437263 [ 0.36 %]\n", + "Velocity : 0.00102878 [ 0.85 %]\n", + "Force : 0.0258074 [ 21.37 %]\n", + "Coefs : 0.0121074 [ 10.02 %]\n", + "Output : 0.00215211 [ 1.78 %]\n", + "Levels : 0.000163134 [ 0.14 %]\n", + "Report : 4.13e-07 [ 0.00 %]\n", + "Balance : 2.37e-07 [ 0.00 %]\n", + "Adjust : 0.0789826 [ 65.39 %]\n", + "Total : 0.120782 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6642 398 84 11 1 1 5 \n", + "1 : 6643 416 70 8 3 1 1 \n", + "2 : 6700 371 62 4 3 2 0 \n", + "3 : 6643 410 79 7 3 0 0 \n", + "4 : 6656 373 92 14 5 1 1 \n", + "5 : 6655 390 78 6 4 5 4 \n", + "6 : 6682 366 76 9 5 3 1 \n", + "7 : 6665 389 80 5 2 0 1 \n", + "8 : 6664 394 73 7 2 1 1 \n", + "9 : 6672 387 71 7 0 1 4 \n", + "10 : 6694 356 81 7 2 2 0 \n", + "11 : 6678 368 82 7 0 2 5 \n", + "12 : 6678 376 76 7 5 0 0 \n", + "13 : 6626 414 98 9 5 1 1 \n", + "\n", + "T : 93298 5408 1102 108 40 20 24 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6409e-03 sec\n", + "--- Collate = 3.2042e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.151824e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.038254e-01 > 1.000000e-01 [71674]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71674/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=6.6] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000415898 [ 0.34 %]\n", + "Velocity : 0.000982556 [ 0.80 %]\n", + "Force : 0.0260858 [ 21.32 %]\n", + "Coefs : 0.013455 [ 11.00 %]\n", + "Output : 0.00212562 [ 1.74 %]\n", + "Levels : 0.000143027 [ 0.12 %]\n", + "Report : 4.33e-07 [ 0.00 %]\n", + "Balance : 2.45e-07 [ 0.00 %]\n", + "Adjust : 0.0790631 [ 64.61 %]\n", + "Total : 0.122365 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6641 401 84 7 4 2 3 \n", + "1 : 6639 420 69 7 5 1 1 \n", + "2 : 6703 369 62 5 1 1 1 \n", + "3 : 6644 409 80 8 1 0 0 \n", + "4 : 6655 374 94 12 3 2 2 \n", + "5 : 6652 393 78 6 4 6 3 \n", + "6 : 6683 366 75 9 4 4 1 \n", + "7 : 6662 393 78 5 2 1 1 \n", + "8 : 6665 393 73 7 2 1 1 \n", + "9 : 6673 387 70 7 0 2 3 \n", + "10 : 6695 355 80 7 3 1 1 \n", + "11 : 6680 368 79 9 1 2 3 \n", + "12 : 6677 376 78 8 2 1 0 \n", + "13 : 6629 411 99 9 4 1 1 \n", + "\n", + "T : 93298 5415 1099 106 36 25 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 5.2714e-03 sec\n", + "--- Collate = 3.3774e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.462475e-05 < 1.562500e-03 [6]\n", + "--- Max DT=3.038243e-01 > 1.000000e-01 [71678]\n", + "----------------------------------------------------------------------\n", + " Component | low: 6/100000\n", + " Component | high: 71678/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=6.7] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000420792 [ 0.32 %]\n", + "Velocity : 0.00124075 [ 0.95 %]\n", + "Force : 0.0262606 [ 20.10 %]\n", + "Coefs : 0.0129706 [ 9.93 %]\n", + "Output : 0.0023819 [ 1.82 %]\n", + "Levels : 0.000155569 [ 0.12 %]\n", + "Report : 3.75e-07 [ 0.00 %]\n", + "Balance : 2.45e-07 [ 0.00 %]\n", + "Adjust : 0.0871321 [ 66.69 %]\n", + "Total : 0.130656 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6640 402 84 8 4 2 2 \n", + "1 : 6639 419 68 11 2 1 2 \n", + "2 : 6702 370 64 3 0 2 1 \n", + "3 : 6645 409 78 9 1 0 0 \n", + "4 : 6652 377 95 10 3 3 2 \n", + "5 : 6651 395 77 4 9 0 6 \n", + "6 : 6681 371 73 9 4 1 3 \n", + "7 : 6663 392 77 6 2 1 1 \n", + "8 : 6664 393 73 6 5 1 0 \n", + "9 : 6672 387 71 7 2 1 2 \n", + "10 : 6694 355 82 7 2 1 1 \n", + "11 : 6681 367 79 8 3 1 3 \n", + "12 : 6675 378 78 8 2 1 0 \n", + "13 : 6629 411 99 10 4 1 0 \n", + "\n", + "T : 93288 5426 1098 106 43 16 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6627e-03 sec\n", + "--- Collate = 3.1635e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.710258e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.038228e-01 > 1.000000e-01 [71689]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71689/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=6.8] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000480971 [ 0.38 %]\n", + "Velocity : 0.00108264 [ 0.85 %]\n", + "Force : 0.0274463 [ 21.50 %]\n", + "Coefs : 0.0130181 [ 10.20 %]\n", + "Output : 0.00229364 [ 1.80 %]\n", + "Levels : 0.000169589 [ 0.13 %]\n", + "Report : 4.22e-07 [ 0.00 %]\n", + "Balance : 2.31e-07 [ 0.00 %]\n", + "Adjust : 0.0830888 [ 65.08 %]\n", + "Total : 0.127676 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6640 402 84 9 6 1 0 \n", + "1 : 6642 415 68 12 1 3 1 \n", + "2 : 6701 369 67 2 0 1 2 \n", + "3 : 6643 410 79 10 0 0 0 \n", + "4 : 6651 380 95 7 3 4 2 \n", + "5 : 6651 395 75 8 6 2 5 \n", + "6 : 6681 371 73 11 1 1 4 \n", + "7 : 6664 389 79 7 2 0 1 \n", + "8 : 6664 391 76 5 4 2 0 \n", + "9 : 6672 386 71 6 5 2 0 \n", + "10 : 6694 355 82 7 2 0 2 \n", + "11 : 6681 368 78 11 0 2 2 \n", + "12 : 6675 377 78 9 0 2 1 \n", + "13 : 6627 416 96 11 4 0 0 \n", + "\n", + "T : 93286 5424 1101 115 34 20 20 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6785e-03 sec\n", + "--- Collate = 3.0767e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.966890e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.038211e-01 > 1.000000e-01 [71677]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71677/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=6.9] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00043812 [ 0.36 %]\n", + "Velocity : 0.00103278 [ 0.84 %]\n", + "Force : 0.026274 [ 21.37 %]\n", + "Coefs : 0.0121974 [ 9.92 %]\n", + "Output : 0.00225081 [ 1.83 %]\n", + "Levels : 0.000140988 [ 0.11 %]\n", + "Report : 3.7e-07 [ 0.00 %]\n", + "Balance : 2.34e-07 [ 0.00 %]\n", + "Adjust : 0.0805184 [ 65.49 %]\n", + "Total : 0.122947 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6636 404 88 6 6 2 0 \n", + "1 : 6641 416 68 12 1 4 0 \n", + "2 : 6699 367 71 1 1 2 1 \n", + "3 : 6643 410 81 8 0 0 0 \n", + "4 : 6649 383 95 7 2 2 4 \n", + "5 : 6652 395 75 10 3 3 4 \n", + "6 : 6681 371 73 11 1 2 3 \n", + "7 : 6662 392 79 6 1 1 1 \n", + "8 : 6661 394 75 7 2 2 1 \n", + "9 : 6674 384 72 6 4 2 0 \n", + "10 : 6694 356 82 6 1 1 2 \n", + "11 : 6680 368 79 11 2 0 2 \n", + "12 : 6674 380 76 8 1 1 2 \n", + "13 : 6629 414 96 12 3 0 0 \n", + "\n", + "T : 93275 5434 1110 111 28 22 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6606e-03 sec\n", + "--- Collate = 2.8018e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.976073e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.038189e-01 > 1.000000e-01 [71676]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71676/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=7] -------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000434738 [ 0.33 %]\n", + "Velocity : 0.000995912 [ 0.75 %]\n", + "Force : 0.0264634 [ 19.82 %]\n", + "Coefs : 0.0119939 [ 8.98 %]\n", + "Output : 0.0136918 [ 10.26 %]\n", + "Levels : 0.00014317 [ 0.11 %]\n", + "Report : 6.96e-07 [ 0.00 %]\n", + "Balance : 4.99e-07 [ 0.00 %]\n", + "Adjust : 0.0796866 [ 59.69 %]\n", + "Total : 0.133503 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6637 402 88 8 5 0 2 \n", + "1 : 6642 412 71 9 4 3 1 \n", + "2 : 6699 366 72 1 2 1 1 \n", + "3 : 6645 407 80 9 1 0 0 \n", + "4 : 6650 380 97 6 4 1 4 \n", + "5 : 6652 395 76 11 2 4 2 \n", + "6 : 6679 373 72 12 1 3 2 \n", + "7 : 6662 393 78 6 1 2 0 \n", + "8 : 6662 395 74 6 2 1 2 \n", + "9 : 6675 386 69 8 3 1 0 \n", + "10 : 6693 357 83 6 0 1 2 \n", + "11 : 6677 371 80 9 3 1 1 \n", + "12 : 6674 378 77 8 2 1 2 \n", + "13 : 6628 413 98 14 1 0 0 \n", + "\n", + "T : 93275 5428 1115 113 31 19 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6395e-03 sec\n", + "--- Collate = 3.1319e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.425262e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.038164e-01 > 1.000000e-01 [71675]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71675/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=7.1] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000282887 [ 0.24 %]\n", + "Velocity : 0.00115038 [ 0.96 %]\n", + "Force : 0.0252148 [ 21.03 %]\n", + "Coefs : 0.0118703 [ 9.90 %]\n", + "Output : 0.00221228 [ 1.85 %]\n", + "Levels : 0.000152274 [ 0.13 %]\n", + "Report : 4.72e-07 [ 0.00 %]\n", + "Balance : 2.33e-07 [ 0.00 %]\n", + "Adjust : 0.0789272 [ 65.83 %]\n", + "Total : 0.119902 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6635 405 88 5 5 2 2 \n", + "1 : 6642 412 72 9 5 0 2 \n", + "2 : 6700 367 69 2 2 1 1 \n", + "3 : 6643 409 80 9 1 0 0 \n", + "4 : 6654 378 96 5 3 3 3 \n", + "5 : 6650 398 73 13 4 2 2 \n", + "6 : 6682 370 74 10 3 1 2 \n", + "7 : 6660 394 78 7 1 1 1 \n", + "8 : 6661 396 75 6 0 1 3 \n", + "9 : 6676 385 68 10 1 1 1 \n", + "10 : 6694 356 83 3 4 1 1 \n", + "11 : 6677 369 82 9 3 2 0 \n", + "12 : 6671 382 75 8 3 1 2 \n", + "13 : 6627 414 98 14 1 0 0 \n", + "\n", + "T : 93272 5435 1111 110 36 16 20 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6742e-03 sec\n", + "--- Collate = 3.4369e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.408711e-04 < 1.562500e-03 [11]\n", + "--- Max DT=3.038136e-01 > 1.000000e-01 [71675]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71675/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=7.2] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000434803 [ 0.34 %]\n", + "Velocity : 0.00106806 [ 0.85 %]\n", + "Force : 0.026203 [ 20.74 %]\n", + "Coefs : 0.0124574 [ 9.86 %]\n", + "Output : 0.00229522 [ 1.82 %]\n", + "Levels : 0.000173348 [ 0.14 %]\n", + "Report : 3.19e-07 [ 0.00 %]\n", + "Balance : 2.15e-07 [ 0.00 %]\n", + "Adjust : 0.0836126 [ 66.18 %]\n", + "Total : 0.126339 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6638 402 89 5 2 2 4 \n", + "1 : 6643 410 73 9 4 1 2 \n", + "2 : 6701 366 69 3 2 0 1 \n", + "3 : 6643 409 81 7 1 1 0 \n", + "4 : 6654 378 95 6 4 1 4 \n", + "5 : 6651 397 74 11 6 1 2 \n", + "6 : 6681 371 76 9 2 1 2 \n", + "7 : 6661 394 77 7 2 0 1 \n", + "8 : 6663 394 75 6 0 1 3 \n", + "9 : 6675 388 66 9 2 1 1 \n", + "10 : 6692 357 84 4 3 1 1 \n", + "11 : 6675 372 80 11 1 2 1 \n", + "12 : 6672 381 75 7 3 2 2 \n", + "13 : 6629 411 99 13 2 0 0 \n", + "\n", + "T : 93278 5430 1113 107 34 14 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 4.5755e-03 sec\n", + "--- Collate = 3.1243e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.943960e-04 < 1.562500e-03 [15]\n", + "--- Max DT=3.038108e-01 > 1.000000e-01 [71689]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71689/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=7.3] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000452583 [ 0.37 %]\n", + "Velocity : 0.00103248 [ 0.84 %]\n", + "Force : 0.0257394 [ 20.96 %]\n", + "Coefs : 0.012337 [ 10.05 %]\n", + "Output : 0.00223668 [ 1.82 %]\n", + "Levels : 0.000144446 [ 0.12 %]\n", + "Report : 3.66e-07 [ 0.00 %]\n", + "Balance : 2.07e-07 [ 0.00 %]\n", + "Adjust : 0.0807513 [ 65.77 %]\n", + "Total : 0.122783 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6639 402 89 5 1 2 4 \n", + "1 : 6642 411 74 9 2 2 2 \n", + "2 : 6701 366 67 6 1 0 1 \n", + "3 : 6644 406 84 6 1 0 1 \n", + "4 : 6652 380 94 7 4 2 3 \n", + "5 : 6648 401 72 11 6 3 1 \n", + "6 : 6682 369 76 10 4 0 1 \n", + "7 : 6663 392 77 7 1 1 1 \n", + "8 : 6661 397 73 6 1 1 3 \n", + "9 : 6676 388 66 8 1 1 2 \n", + "10 : 6690 358 84 5 3 1 1 \n", + "11 : 6675 373 78 11 2 1 2 \n", + "12 : 6673 380 75 8 2 3 1 \n", + "13 : 6632 408 101 10 3 0 0 \n", + "\n", + "T : 93278 5431 1110 109 32 17 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5059e-03 sec\n", + "--- Collate = 2.8682e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.615545e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.038080e-01 > 1.000000e-01 [71688]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71688/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=7.4] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000414675 [ 0.34 %]\n", + "Velocity : 0.000991708 [ 0.82 %]\n", + "Force : 0.0263275 [ 21.80 %]\n", + "Coefs : 0.012241 [ 10.13 %]\n", + "Output : 0.00218475 [ 1.81 %]\n", + "Levels : 0.000143444 [ 0.12 %]\n", + "Report : 6.13e-07 [ 0.00 %]\n", + "Balance : 2.04e-07 [ 0.00 %]\n", + "Adjust : 0.0783922 [ 64.90 %]\n", + "Total : 0.120786 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6640 402 86 6 4 0 4 \n", + "1 : 6642 410 75 10 1 3 1 \n", + "2 : 6702 366 66 6 1 1 0 \n", + "3 : 6646 405 83 5 2 0 1 \n", + "4 : 6651 383 93 7 2 3 3 \n", + "5 : 6647 401 73 13 4 2 2 \n", + "6 : 6681 373 74 10 2 2 0 \n", + "7 : 6665 390 76 10 0 1 0 \n", + "8 : 6661 396 74 6 2 2 1 \n", + "9 : 6675 388 66 9 0 1 3 \n", + "10 : 6691 358 83 5 3 1 1 \n", + "11 : 6675 374 78 8 2 3 2 \n", + "12 : 6673 381 74 9 1 2 2 \n", + "13 : 6633 408 99 11 2 1 0 \n", + "\n", + "T : 93282 5435 1100 115 26 22 20 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5548e-03 sec\n", + "--- Collate = 2.9473e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.142484e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.038053e-01 > 1.000000e-01 [71681]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71681/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=7.5] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00042379 [ 0.34 %]\n", + "Velocity : 0.00101008 [ 0.81 %]\n", + "Force : 0.0262767 [ 21.05 %]\n", + "Coefs : 0.0123786 [ 9.92 %]\n", + "Output : 0.00229621 [ 1.84 %]\n", + "Levels : 0.000165562 [ 0.13 %]\n", + "Report : 3.76e-07 [ 0.00 %]\n", + "Balance : 1.98e-07 [ 0.00 %]\n", + "Adjust : 0.0821937 [ 65.84 %]\n", + "Total : 0.124837 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6641 400 87 8 2 1 3 \n", + "1 : 6640 410 77 11 1 1 2 \n", + "2 : 6703 365 66 6 1 1 0 \n", + "3 : 6645 406 79 9 2 0 1 \n", + "4 : 6651 383 91 9 3 3 2 \n", + "5 : 6647 400 76 9 7 1 2 \n", + "6 : 6683 368 77 10 2 1 1 \n", + "7 : 6663 392 76 9 1 0 1 \n", + "8 : 6661 393 78 6 3 1 0 \n", + "9 : 6673 390 66 9 0 2 2 \n", + "10 : 6693 355 81 9 2 0 2 \n", + "11 : 6673 375 79 8 2 1 4 \n", + "12 : 6674 378 75 10 1 2 2 \n", + "13 : 6634 406 100 9 2 2 1 \n", + "\n", + "T : 93281 5421 1108 122 29 16 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5243e-03 sec\n", + "--- Collate = 3.2117e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.047427e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.038024e-01 > 1.000000e-01 [71678]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71678/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=7.6] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000432994 [ 0.35 %]\n", + "Velocity : 0.0010149 [ 0.83 %]\n", + "Force : 0.0259114 [ 21.19 %]\n", + "Coefs : 0.0124357 [ 10.17 %]\n", + "Output : 0.00230368 [ 1.88 %]\n", + "Levels : 0.000162248 [ 0.13 %]\n", + "Report : 4.12e-07 [ 0.00 %]\n", + "Balance : 2.16e-07 [ 0.00 %]\n", + "Adjust : 0.0799078 [ 65.36 %]\n", + "Total : 0.12226 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6638 401 89 7 4 3 0 \n", + "1 : 6639 411 78 8 2 3 1 \n", + "2 : 6704 362 67 5 4 0 0 \n", + "3 : 6647 406 77 9 1 2 0 \n", + "4 : 6650 382 93 11 2 2 2 \n", + "5 : 6647 401 76 10 4 2 2 \n", + "6 : 6683 368 78 9 2 0 2 \n", + "7 : 6663 391 80 6 0 0 2 \n", + "8 : 6661 395 75 7 2 2 0 \n", + "9 : 6673 390 66 9 1 1 2 \n", + "10 : 6693 354 83 8 2 1 1 \n", + "11 : 6676 372 82 4 2 3 3 \n", + "12 : 6674 376 76 10 2 2 2 \n", + "13 : 6633 409 100 7 2 1 2 \n", + "\n", + "T : 93281 5418 1120 110 30 22 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5873e-03 sec\n", + "--- Collate = 2.7222e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.027142e-06 < 1.562500e-03 [9]\n", + "--- Max DT=3.037997e-01 > 1.000000e-01 [71674]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71674/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=7.7] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000421938 [ 0.34 %]\n", + "Velocity : 0.00098819 [ 0.80 %]\n", + "Force : 0.0262022 [ 21.26 %]\n", + "Coefs : 0.0121112 [ 9.83 %]\n", + "Output : 0.00223175 [ 1.81 %]\n", + "Levels : 0.00014526 [ 0.12 %]\n", + "Report : 2.65e-07 [ 0.00 %]\n", + "Balance : 2.18e-07 [ 0.00 %]\n", + "Adjust : 0.0810573 [ 65.77 %]\n", + "Total : 0.123249 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6638 401 89 7 3 3 1 \n", + "1 : 6642 407 80 6 4 0 3 \n", + "2 : 6704 362 66 5 4 1 0 \n", + "3 : 6645 406 79 10 1 1 0 \n", + "4 : 6651 381 94 11 3 0 2 \n", + "5 : 6648 402 75 8 4 4 1 \n", + "6 : 6683 368 79 8 2 0 2 \n", + "7 : 6664 391 78 7 0 0 2 \n", + "8 : 6661 393 77 8 2 1 0 \n", + "9 : 6673 392 67 5 3 1 1 \n", + "10 : 6691 357 82 8 2 1 1 \n", + "11 : 6675 374 81 4 3 1 4 \n", + "12 : 6672 379 75 8 3 2 3 \n", + "13 : 6632 410 101 6 1 1 3 \n", + "\n", + "T : 93279 5423 1123 101 35 16 23 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5693e-03 sec\n", + "--- Collate = 3.0686e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.491234e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.037968e-01 > 1.000000e-01 [71680]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71680/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=7.8] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000441598 [ 0.35 %]\n", + "Velocity : 0.00105367 [ 0.84 %]\n", + "Force : 0.0262014 [ 20.88 %]\n", + "Coefs : 0.0125081 [ 9.97 %]\n", + "Output : 0.0023369 [ 1.86 %]\n", + "Levels : 0.000152793 [ 0.12 %]\n", + "Report : 3.75e-07 [ 0.00 %]\n", + "Balance : 2.05e-07 [ 0.00 %]\n", + "Adjust : 0.082721 [ 65.91 %]\n", + "Total : 0.125506 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6638 402 88 8 4 1 1 \n", + "1 : 6642 407 80 6 3 2 2 \n", + "2 : 6705 360 67 5 3 1 1 \n", + "3 : 6645 406 78 9 3 0 1 \n", + "4 : 6652 379 96 10 2 3 0 \n", + "5 : 6646 403 77 8 3 2 3 \n", + "6 : 6684 370 78 5 3 1 1 \n", + "7 : 6666 390 78 5 1 1 1 \n", + "8 : 6661 394 75 9 2 0 1 \n", + "9 : 6675 389 69 6 2 0 1 \n", + "10 : 6690 358 81 10 1 2 0 \n", + "11 : 6678 370 81 5 2 5 1 \n", + "12 : 6674 374 79 6 4 3 2 \n", + "13 : 6633 410 100 6 0 3 2 \n", + "\n", + "T : 93289 5412 1127 98 33 24 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5658e-03 sec\n", + "--- Collate = 2.8917e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.485358e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.037938e-01 > 1.000000e-01 [71688]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71688/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=7.9] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000443526 [ 0.37 %]\n", + "Velocity : 0.00100668 [ 0.83 %]\n", + "Force : 0.0255727 [ 21.07 %]\n", + "Coefs : 0.0120912 [ 9.96 %]\n", + "Output : 0.00216049 [ 1.78 %]\n", + "Levels : 0.000154365 [ 0.13 %]\n", + "Report : 4.16e-07 [ 0.00 %]\n", + "Balance : 2.23e-07 [ 0.00 %]\n", + "Adjust : 0.0798686 [ 65.80 %]\n", + "Total : 0.121389 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6637 402 88 10 3 1 1 \n", + "1 : 6640 408 82 5 2 3 2 \n", + "2 : 6707 358 67 5 2 2 1 \n", + "3 : 6645 405 80 8 3 0 1 \n", + "4 : 6653 378 95 10 5 1 0 \n", + "5 : 6648 399 77 9 5 0 4 \n", + "6 : 6685 368 78 7 3 1 0 \n", + "7 : 6666 390 77 7 1 1 0 \n", + "8 : 6664 392 73 9 0 3 1 \n", + "9 : 6675 390 67 7 1 2 0 \n", + "10 : 6691 355 83 9 3 1 0 \n", + "11 : 6682 366 81 5 3 2 3 \n", + "12 : 6674 374 78 8 3 3 2 \n", + "13 : 6633 410 99 6 1 3 2 \n", + "\n", + "T : 93300 5395 1125 105 35 23 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5582e-03 sec\n", + "--- Collate = 2.6146e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.832860e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.037906e-01 > 1.000000e-01 [71672]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71672/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=8] -------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000424314 [ 0.32 %]\n", + "Velocity : 0.00097906 [ 0.74 %]\n", + "Force : 0.0256199 [ 19.44 %]\n", + "Coefs : 0.0121267 [ 9.20 %]\n", + "Output : 0.0133625 [ 10.14 %]\n", + "Levels : 0.000144362 [ 0.11 %]\n", + "Report : 5.32e-07 [ 0.00 %]\n", + "Balance : 4.63e-07 [ 0.00 %]\n", + "Adjust : 0.0790702 [ 59.98 %]\n", + "Total : 0.131818 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6638 401 88 7 6 1 1 \n", + "1 : 6638 410 81 6 0 3 4 \n", + "2 : 6709 356 67 5 1 1 3 \n", + "3 : 6648 401 81 9 2 0 1 \n", + "4 : 6654 376 96 8 6 1 1 \n", + "5 : 6649 397 78 11 2 2 3 \n", + "6 : 6686 368 77 7 3 1 0 \n", + "7 : 6664 392 76 7 1 2 0 \n", + "8 : 6664 393 72 9 0 2 2 \n", + "9 : 6676 384 71 8 2 0 1 \n", + "10 : 6688 359 79 11 4 0 1 \n", + "11 : 6682 367 79 7 4 1 2 \n", + "12 : 6673 376 78 9 1 3 2 \n", + "13 : 6635 409 98 5 4 1 2 \n", + "\n", + "T : 93304 5389 1121 109 36 18 23 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6203e-03 sec\n", + "--- Collate = 3.2611e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.610636e-06 < 1.562500e-03 [15]\n", + "--- Max DT=3.037868e-01 > 1.000000e-01 [71679]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71679/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=8.1] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000378218 [ 0.30 %]\n", + "Velocity : 0.0010188 [ 0.80 %]\n", + "Force : 0.0276147 [ 21.63 %]\n", + "Coefs : 0.0125412 [ 9.82 %]\n", + "Output : 0.00242597 [ 1.90 %]\n", + "Levels : 0.000161191 [ 0.13 %]\n", + "Report : 4.72e-07 [ 0.00 %]\n", + "Balance : 2.55e-07 [ 0.00 %]\n", + "Adjust : 0.0834112 [ 65.34 %]\n", + "Total : 0.127655 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6637 402 88 8 4 2 1 \n", + "1 : 6639 410 78 8 0 1 6 \n", + "2 : 6712 352 68 6 0 1 3 \n", + "3 : 6647 404 79 9 1 2 0 \n", + "4 : 6653 377 97 9 3 2 1 \n", + "5 : 6648 398 80 9 1 4 2 \n", + "6 : 6687 365 79 7 3 1 0 \n", + "7 : 6664 392 76 7 1 1 1 \n", + "8 : 6667 393 69 8 2 0 3 \n", + "9 : 6678 382 71 9 0 1 1 \n", + "10 : 6688 358 81 10 3 1 1 \n", + "11 : 6682 367 79 8 3 1 2 \n", + "12 : 6672 376 79 9 2 2 2 \n", + "13 : 6636 408 97 7 4 0 2 \n", + "\n", + "T : 93310 5384 1121 114 27 19 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6133e-03 sec\n", + "--- Collate = 3.0796e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.948668e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.037829e-01 > 1.000000e-01 [71674]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71674/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=8.2] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000438945 [ 0.36 %]\n", + "Velocity : 0.00102759 [ 0.83 %]\n", + "Force : 0.0259991 [ 21.03 %]\n", + "Coefs : 0.0123118 [ 9.96 %]\n", + "Output : 0.00227511 [ 1.84 %]\n", + "Levels : 0.000148247 [ 0.12 %]\n", + "Report : 4.47e-07 [ 0.00 %]\n", + "Balance : 2.38e-07 [ 0.00 %]\n", + "Adjust : 0.0813287 [ 65.79 %]\n", + "Total : 0.123621 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6637 402 88 10 2 2 1 \n", + "1 : 6639 412 75 9 1 0 6 \n", + "2 : 6713 349 70 6 0 1 3 \n", + "3 : 6649 403 77 9 2 1 1 \n", + "4 : 6651 380 94 11 2 2 2 \n", + "5 : 6651 397 76 9 6 1 2 \n", + "6 : 6685 366 80 7 3 1 0 \n", + "7 : 6662 392 78 7 1 0 2 \n", + "8 : 6668 391 71 7 2 0 3 \n", + "9 : 6675 384 72 8 0 1 2 \n", + "10 : 6686 358 82 9 5 0 2 \n", + "11 : 6681 368 79 11 1 2 0 \n", + "12 : 6673 375 79 6 7 0 2 \n", + "13 : 6637 408 96 8 1 3 1 \n", + "\n", + "T : 93307 5385 1117 117 33 14 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5745e-03 sec\n", + "--- Collate = 2.8515e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.330296e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.037784e-01 > 1.000000e-01 [71694]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71694/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=8.3] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000422689 [ 0.34 %]\n", + "Velocity : 0.00102529 [ 0.83 %]\n", + "Force : 0.02588 [ 21.01 %]\n", + "Coefs : 0.0122922 [ 9.98 %]\n", + "Output : 0.00226532 [ 1.84 %]\n", + "Levels : 0.000175901 [ 0.14 %]\n", + "Report : 4.36e-07 [ 0.00 %]\n", + "Balance : 2.1e-07 [ 0.00 %]\n", + "Adjust : 0.0810124 [ 65.78 %]\n", + "Total : 0.123165 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6637 401 90 9 2 1 2 \n", + "1 : 6636 419 72 7 2 2 4 \n", + "2 : 6714 348 70 4 3 2 1 \n", + "3 : 6648 403 79 8 2 1 1 \n", + "4 : 6649 381 94 12 1 2 3 \n", + "5 : 6650 396 79 8 6 1 2 \n", + "6 : 6688 362 81 5 4 1 1 \n", + "7 : 6664 390 77 9 0 0 2 \n", + "8 : 6665 393 72 4 5 1 2 \n", + "9 : 6675 381 75 7 1 1 2 \n", + "10 : 6689 354 87 6 3 2 1 \n", + "11 : 6681 370 78 10 2 1 0 \n", + "12 : 6673 375 79 5 8 1 1 \n", + "13 : 6637 407 98 5 4 3 0 \n", + "\n", + "T : 93306 5380 1131 99 43 19 22 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5514e-03 sec\n", + "--- Collate = 2.9433e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.298435e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.037739e-01 > 1.000000e-01 [71690]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71690/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=8.4] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000440676 [ 0.36 %]\n", + "Velocity : 0.000977852 [ 0.81 %]\n", + "Force : 0.025619 [ 21.16 %]\n", + "Coefs : 0.0121831 [ 10.06 %]\n", + "Output : 0.00218213 [ 1.80 %]\n", + "Levels : 0.000140908 [ 0.12 %]\n", + "Report : 2.97e-07 [ 0.00 %]\n", + "Balance : 1.97e-07 [ 0.00 %]\n", + "Adjust : 0.0794341 [ 65.61 %]\n", + "Total : 0.121067 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6638 399 90 9 4 0 2 \n", + "1 : 6635 419 73 6 5 4 0 \n", + "2 : 6714 348 71 3 5 1 0 \n", + "3 : 6647 403 80 9 1 0 2 \n", + "4 : 6645 384 97 9 2 1 4 \n", + "5 : 6651 395 80 8 5 1 2 \n", + "6 : 6686 363 81 7 3 0 2 \n", + "7 : 6664 388 79 9 0 1 1 \n", + "8 : 6667 391 72 3 3 5 1 \n", + "9 : 6677 377 78 6 1 1 2 \n", + "10 : 6691 352 87 5 3 2 2 \n", + "11 : 6680 371 80 9 2 0 0 \n", + "12 : 6673 374 78 9 5 3 0 \n", + "13 : 6638 407 97 5 3 2 2 \n", + "\n", + "T : 93306 5371 1143 97 42 21 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5541e-03 sec\n", + "--- Collate = 2.8941e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.897247e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.037692e-01 > 1.000000e-01 [71685]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71685/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=8.5] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000418492 [ 0.34 %]\n", + "Velocity : 0.000998497 [ 0.82 %]\n", + "Force : 0.0258215 [ 21.26 %]\n", + "Coefs : 0.0124088 [ 10.22 %]\n", + "Output : 0.00219847 [ 1.81 %]\n", + "Levels : 0.00015453 [ 0.13 %]\n", + "Report : 3.93e-07 [ 0.00 %]\n", + "Balance : 2.34e-07 [ 0.00 %]\n", + "Adjust : 0.0793525 [ 65.34 %]\n", + "Total : 0.121443 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6639 397 92 9 2 1 2 \n", + "1 : 6634 420 73 6 6 3 0 \n", + "2 : 6714 349 71 4 3 1 0 \n", + "3 : 6648 401 80 10 1 1 1 \n", + "4 : 6644 384 100 7 3 2 2 \n", + "5 : 6649 397 81 9 2 3 1 \n", + "6 : 6688 361 78 10 3 0 2 \n", + "7 : 6663 390 76 11 0 2 0 \n", + "8 : 6668 389 74 2 5 1 3 \n", + "9 : 6675 379 78 6 1 2 1 \n", + "10 : 6692 348 90 5 3 2 2 \n", + "11 : 6680 372 76 12 2 0 0 \n", + "12 : 6673 376 76 10 2 4 1 \n", + "13 : 6638 407 95 6 3 2 3 \n", + "\n", + "T : 93305 5370 1140 107 36 24 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5386e-03 sec\n", + "--- Collate = 2.8695e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.537730e-04 < 1.562500e-03 [8]\n", + "--- Max DT=3.037692e-01 > 1.000000e-01 [71698]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71698/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=8.6] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000431543 [ 0.36 %]\n", + "Velocity : 0.000987383 [ 0.82 %]\n", + "Force : 0.0262515 [ 21.75 %]\n", + "Coefs : 0.012105 [ 10.03 %]\n", + "Output : 0.0021529 [ 1.78 %]\n", + "Levels : 0.000172511 [ 0.14 %]\n", + "Report : 3.78e-07 [ 0.00 %]\n", + "Balance : 2.41e-07 [ 0.00 %]\n", + "Adjust : 0.0784926 [ 65.04 %]\n", + "Total : 0.120686 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6639 400 90 8 2 3 0 \n", + "1 : 6634 423 71 7 6 1 0 \n", + "2 : 6713 350 72 5 0 1 1 \n", + "3 : 6649 401 81 7 3 0 1 \n", + "4 : 6645 383 99 9 3 2 1 \n", + "5 : 6647 399 81 10 3 1 1 \n", + "6 : 6690 358 77 12 3 1 1 \n", + "7 : 6665 388 76 10 3 0 0 \n", + "8 : 6668 390 72 3 3 2 4 \n", + "9 : 6675 379 77 6 2 3 0 \n", + "10 : 6694 347 90 3 4 1 3 \n", + "11 : 6677 374 79 9 3 0 0 \n", + "12 : 6671 379 75 9 4 1 3 \n", + "13 : 6635 412 94 5 3 0 5 \n", + "\n", + "T : 93302 5383 1134 103 42 16 20 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6079e-03 sec\n", + "--- Collate = 2.8488e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.770629e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.037831e-01 > 1.000000e-01 [71698]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71698/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=8.7] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000426668 [ 0.35 %]\n", + "Velocity : 0.000972535 [ 0.80 %]\n", + "Force : 0.0256709 [ 21.18 %]\n", + "Coefs : 0.0121166 [ 10.00 %]\n", + "Output : 0.00217682 [ 1.80 %]\n", + "Levels : 0.000141831 [ 0.12 %]\n", + "Report : 3.04e-07 [ 0.00 %]\n", + "Balance : 1.82e-07 [ 0.00 %]\n", + "Adjust : 0.0796207 [ 65.68 %]\n", + "Total : 0.121217 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6641 395 92 8 4 2 0 \n", + "1 : 6633 423 71 9 4 2 0 \n", + "2 : 6714 349 71 6 0 0 2 \n", + "3 : 6651 398 83 6 4 0 0 \n", + "4 : 6646 381 101 8 4 2 0 \n", + "5 : 6648 397 82 11 2 0 2 \n", + "6 : 6689 358 77 14 2 1 1 \n", + "7 : 6665 389 76 10 2 0 0 \n", + "8 : 6668 389 73 4 2 2 4 \n", + "9 : 6675 379 77 6 4 0 1 \n", + "10 : 6692 348 89 5 2 3 3 \n", + "11 : 6676 373 79 11 2 1 0 \n", + "12 : 6673 380 72 8 5 0 4 \n", + "13 : 6632 413 95 6 2 4 2 \n", + "\n", + "T : 93303 5372 1138 112 39 17 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5539e-03 sec\n", + "--- Collate = 2.8243e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.047423e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.037969e-01 > 1.000000e-01 [71688]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71688/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=8.8] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000419371 [ 0.35 %]\n", + "Velocity : 0.000993781 [ 0.82 %]\n", + "Force : 0.0262488 [ 21.67 %]\n", + "Coefs : 0.0119074 [ 9.83 %]\n", + "Output : 0.00215687 [ 1.78 %]\n", + "Levels : 0.00014123 [ 0.12 %]\n", + "Report : 3.13e-07 [ 0.00 %]\n", + "Balance : 2.03e-07 [ 0.00 %]\n", + "Adjust : 0.0791814 [ 65.36 %]\n", + "Total : 0.121141 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6643 394 91 8 3 3 0 \n", + "1 : 6634 422 71 11 1 1 2 \n", + "2 : 6715 348 69 5 2 1 2 \n", + "3 : 6650 398 79 9 5 1 0 \n", + "4 : 6647 380 98 9 6 1 1 \n", + "5 : 6650 395 84 9 2 1 1 \n", + "6 : 6689 357 78 15 1 1 1 \n", + "7 : 6668 385 78 9 2 0 0 \n", + "8 : 6667 390 72 7 0 3 3 \n", + "9 : 6675 380 76 6 3 1 1 \n", + "10 : 6694 345 88 6 3 3 3 \n", + "11 : 6678 371 81 8 2 1 1 \n", + "12 : 6675 379 73 7 4 0 4 \n", + "13 : 6631 415 94 5 3 2 4 \n", + "\n", + "T : 93316 5359 1132 114 37 19 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5747e-03 sec\n", + "--- Collate = 2.8734e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.546397e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.038104e-01 > 1.000000e-01 [71692]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71692/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=8.9] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000422961 [ 0.35 %]\n", + "Velocity : 0.000987138 [ 0.82 %]\n", + "Force : 0.0263914 [ 21.85 %]\n", + "Coefs : 0.0125864 [ 10.42 %]\n", + "Output : 0.0021605 [ 1.79 %]\n", + "Levels : 0.000146354 [ 0.12 %]\n", + "Report : 4.03e-07 [ 0.00 %]\n", + "Balance : 2.04e-07 [ 0.00 %]\n", + "Adjust : 0.0780123 [ 64.58 %]\n", + "Total : 0.120799 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6644 393 92 9 0 2 2 \n", + "1 : 6633 422 72 11 1 1 2 \n", + "2 : 6715 348 69 5 2 1 2 \n", + "3 : 6651 397 77 11 4 2 0 \n", + "4 : 6646 383 97 9 6 0 1 \n", + "5 : 6648 396 85 10 0 2 1 \n", + "6 : 6689 358 77 14 2 1 1 \n", + "7 : 6668 385 79 7 3 0 0 \n", + "8 : 6667 390 70 7 4 2 2 \n", + "9 : 6677 378 74 9 2 0 2 \n", + "10 : 6696 343 87 9 2 2 3 \n", + "11 : 6679 370 81 7 3 1 1 \n", + "12 : 6673 381 75 6 2 4 1 \n", + "13 : 6631 413 96 5 4 2 3 \n", + "\n", + "T : 93317 5357 1131 119 35 20 21 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5538e-03 sec\n", + "--- Collate = 2.5690e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.812728e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.038238e-01 > 1.000000e-01 [71686]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71686/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=9] -------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000423928 [ 0.32 %]\n", + "Velocity : 0.000984409 [ 0.74 %]\n", + "Force : 0.0258356 [ 19.29 %]\n", + "Coefs : 0.0122884 [ 9.18 %]\n", + "Output : 0.0147958 [ 11.05 %]\n", + "Levels : 0.000165532 [ 0.12 %]\n", + "Report : 5.09e-07 [ 0.00 %]\n", + "Balance : 4.78e-07 [ 0.00 %]\n", + "Adjust : 0.0793401 [ 59.24 %]\n", + "Total : 0.133925 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6643 394 92 9 0 1 3 \n", + "1 : 6635 420 73 10 1 0 3 \n", + "2 : 6715 349 68 5 1 3 1 \n", + "3 : 6652 394 80 7 5 3 1 \n", + "4 : 6645 383 97 12 3 1 1 \n", + "5 : 6648 397 84 9 1 2 1 \n", + "6 : 6690 360 75 13 1 2 1 \n", + "7 : 6667 384 81 8 2 0 0 \n", + "8 : 6665 392 70 7 5 2 1 \n", + "9 : 6678 377 74 10 0 2 1 \n", + "10 : 6695 345 86 10 2 0 4 \n", + "11 : 6679 370 81 7 2 1 2 \n", + "12 : 6671 383 74 7 3 4 0 \n", + "13 : 6632 411 99 5 2 1 4 \n", + "\n", + "T : 93315 5359 1134 119 28 22 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5592e-03 sec\n", + "--- Collate = 3.2117e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.649358e-06 < 1.562500e-03 [12]\n", + "--- Max DT=3.038371e-01 > 1.000000e-01 [71678]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71678/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=9.1] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000344264 [ 0.28 %]\n", + "Velocity : 0.000866497 [ 0.72 %]\n", + "Force : 0.0265569 [ 21.96 %]\n", + "Coefs : 0.0118775 [ 9.82 %]\n", + "Output : 0.00220807 [ 1.83 %]\n", + "Levels : 0.000147894 [ 0.12 %]\n", + "Report : 4.47e-07 [ 0.00 %]\n", + "Balance : 2.39e-07 [ 0.00 %]\n", + "Adjust : 0.0788626 [ 65.20 %]\n", + "Total : 0.120957 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6644 392 92 10 0 0 4 \n", + "1 : 6632 424 73 9 0 3 1 \n", + "2 : 6713 352 67 5 3 0 2 \n", + "3 : 6650 397 78 8 5 1 3 \n", + "4 : 6644 385 95 15 1 2 0 \n", + "5 : 6647 399 83 9 3 0 1 \n", + "6 : 6690 360 75 11 3 1 2 \n", + "7 : 6669 383 81 6 1 2 0 \n", + "8 : 6668 390 68 8 6 2 0 \n", + "9 : 6680 375 74 9 2 0 2 \n", + "10 : 6696 345 86 8 3 2 2 \n", + "11 : 6681 368 81 7 1 2 2 \n", + "12 : 6670 385 74 7 3 2 1 \n", + "13 : 6632 413 96 4 5 2 2 \n", + "\n", + "T : 93316 5368 1123 116 36 19 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5919e-03 sec\n", + "--- Collate = 2.9541e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.429227e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.038501e-01 > 1.000000e-01 [71672]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71672/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=9.2] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000420305 [ 0.35 %]\n", + "Velocity : 0.000984296 [ 0.82 %]\n", + "Force : 0.0256733 [ 21.27 %]\n", + "Coefs : 0.0120926 [ 10.02 %]\n", + "Output : 0.00219422 [ 1.82 %]\n", + "Levels : 0.000141554 [ 0.12 %]\n", + "Report : 4.77e-07 [ 0.00 %]\n", + "Balance : 2.33e-07 [ 0.00 %]\n", + "Adjust : 0.0791051 [ 65.54 %]\n", + "Total : 0.120702 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6646 390 91 12 0 1 2 \n", + "1 : 6634 422 75 8 1 0 2 \n", + "2 : 6712 353 67 4 4 1 1 \n", + "3 : 6649 397 78 8 6 0 4 \n", + "4 : 6644 386 92 16 3 0 1 \n", + "5 : 6648 398 84 8 3 0 1 \n", + "6 : 6691 360 75 11 2 1 2 \n", + "7 : 6670 381 81 7 1 2 0 \n", + "8 : 6667 390 70 8 4 2 1 \n", + "9 : 6680 375 74 10 1 1 1 \n", + "10 : 6697 342 90 5 4 3 1 \n", + "11 : 6681 369 80 7 0 3 2 \n", + "12 : 6670 385 75 8 1 0 3 \n", + "13 : 6631 415 94 5 6 1 2 \n", + "\n", + "T : 93320 5363 1126 117 36 15 23 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6077e-03 sec\n", + "--- Collate = 2.8293e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.293234e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.038629e-01 > 1.000000e-01 [71679]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71679/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=9.3] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000425347 [ 0.35 %]\n", + "Velocity : 0.00100526 [ 0.83 %]\n", + "Force : 0.0274584 [ 22.63 %]\n", + "Coefs : 0.0119676 [ 9.87 %]\n", + "Output : 0.00217429 [ 1.79 %]\n", + "Levels : 0.000144587 [ 0.12 %]\n", + "Report : 2.52e-07 [ 0.00 %]\n", + "Balance : 2.04e-07 [ 0.00 %]\n", + "Adjust : 0.078042 [ 64.33 %]\n", + "Total : 0.121309 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6645 391 92 10 1 2 1 \n", + "1 : 6632 423 76 8 1 1 1 \n", + "2 : 6713 350 68 6 2 2 1 \n", + "3 : 6651 394 79 9 5 1 3 \n", + "4 : 6645 384 94 14 4 0 1 \n", + "5 : 6648 398 83 9 3 1 0 \n", + "6 : 6690 360 77 8 4 1 2 \n", + "7 : 6670 382 80 6 1 1 2 \n", + "8 : 6667 389 71 9 1 2 3 \n", + "9 : 6677 379 74 9 1 1 1 \n", + "10 : 6698 342 87 9 4 1 1 \n", + "11 : 6680 370 81 6 1 2 2 \n", + "12 : 6671 384 73 9 1 1 3 \n", + "13 : 6634 411 95 6 3 4 1 \n", + "\n", + "T : 93321 5357 1130 118 32 20 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5871e-03 sec\n", + "--- Collate = 2.8597e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.159722e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.038754e-01 > 1.000000e-01 [71670]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71670/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=9.4] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000423072 [ 0.35 %]\n", + "Velocity : 0.00100562 [ 0.83 %]\n", + "Force : 0.0256347 [ 21.25 %]\n", + "Coefs : 0.0120486 [ 9.99 %]\n", + "Output : 0.00220446 [ 1.83 %]\n", + "Levels : 0.000166646 [ 0.14 %]\n", + "Report : 4.05e-07 [ 0.00 %]\n", + "Balance : 2.5e-07 [ 0.00 %]\n", + "Adjust : 0.0790475 [ 65.53 %]\n", + "Total : 0.120621 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6643 394 91 10 1 2 1 \n", + "1 : 6633 422 76 9 1 0 1 \n", + "2 : 6713 350 69 6 2 2 0 \n", + "3 : 6653 392 77 11 6 2 1 \n", + "4 : 6645 384 94 15 4 0 0 \n", + "5 : 6647 400 82 8 3 2 0 \n", + "6 : 6687 364 76 8 3 3 1 \n", + "7 : 6669 384 80 4 2 0 3 \n", + "8 : 6668 390 68 9 2 0 5 \n", + "9 : 6673 383 72 10 3 1 0 \n", + "10 : 6697 344 86 8 4 2 1 \n", + "11 : 6679 373 81 4 2 1 2 \n", + "12 : 6670 386 71 10 1 1 3 \n", + "13 : 6634 410 96 5 5 2 2 \n", + "\n", + "T : 93311 5376 1119 117 39 18 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6187e-03 sec\n", + "--- Collate = 2.7828e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.548174e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.038875e-01 > 1.000000e-01 [71671]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71671/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=9.5] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00042032 [ 0.35 %]\n", + "Velocity : 0.00101951 [ 0.84 %]\n", + "Force : 0.0258219 [ 21.37 %]\n", + "Coefs : 0.0120592 [ 9.98 %]\n", + "Output : 0.00215745 [ 1.79 %]\n", + "Levels : 0.000146352 [ 0.12 %]\n", + "Report : 3.81e-07 [ 0.00 %]\n", + "Balance : 2.39e-07 [ 0.00 %]\n", + "Adjust : 0.0791401 [ 65.48 %]\n", + "Total : 0.120855 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6643 394 91 8 4 1 1 \n", + "1 : 6633 423 73 10 2 1 0 \n", + "2 : 6712 352 67 7 3 1 0 \n", + "3 : 6655 389 78 12 6 2 0 \n", + "4 : 6646 384 93 13 4 1 1 \n", + "5 : 6645 399 84 10 3 0 1 \n", + "6 : 6686 366 75 8 3 1 3 \n", + "7 : 6670 383 81 3 1 1 3 \n", + "8 : 6666 394 66 9 2 1 4 \n", + "9 : 6674 382 74 8 4 0 0 \n", + "10 : 6696 345 85 9 4 2 1 \n", + "11 : 6678 377 77 6 1 2 1 \n", + "12 : 6669 386 72 8 3 3 1 \n", + "13 : 6633 411 97 6 4 1 2 \n", + "\n", + "T : 93306 5385 1113 117 44 17 18 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5752e-03 sec\n", + "--- Collate = 2.9195e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.044322e-05 < 1.562500e-03 [5]\n", + "--- Max DT=3.038991e-01 > 1.000000e-01 [71674]\n", + "----------------------------------------------------------------------\n", + " Component | low: 5/100000\n", + " Component | high: 71674/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=9.6] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000428386 [ 0.35 %]\n", + "Velocity : 0.000984763 [ 0.80 %]\n", + "Force : 0.026178 [ 21.34 %]\n", + "Coefs : 0.0122516 [ 9.99 %]\n", + "Output : 0.00218033 [ 1.78 %]\n", + "Levels : 0.000142033 [ 0.12 %]\n", + "Report : 4.78e-07 [ 0.00 %]\n", + "Balance : 2.18e-07 [ 0.00 %]\n", + "Adjust : 0.080438 [ 65.56 %]\n", + "Total : 0.122695 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6641 395 93 9 2 1 1 \n", + "1 : 6634 422 73 8 2 3 0 \n", + "2 : 6716 349 67 5 3 1 1 \n", + "3 : 6653 392 78 12 6 1 0 \n", + "4 : 6647 384 94 10 3 3 1 \n", + "5 : 6644 400 84 9 2 2 1 \n", + "6 : 6687 365 76 6 4 2 2 \n", + "7 : 6671 382 80 3 2 3 1 \n", + "8 : 6667 395 63 10 2 3 2 \n", + "9 : 6675 381 73 9 4 0 0 \n", + "10 : 6693 350 83 7 4 5 0 \n", + "11 : 6680 375 78 7 1 1 0 \n", + "12 : 6670 385 71 8 5 0 3 \n", + "13 : 6634 408 97 8 5 1 1 \n", + "\n", + "T : 93312 5383 1110 111 45 26 13 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 5.0008e-03 sec\n", + "--- Collate = 3.1816e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.581027e-04 < 1.562500e-03 [8]\n", + "--- Max DT=3.039101e-01 > 1.000000e-01 [71666]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71666/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=9.7] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000422649 [ 0.34 %]\n", + "Velocity : 0.00106371 [ 0.85 %]\n", + "Force : 0.026079 [ 20.79 %]\n", + "Coefs : 0.0129576 [ 10.33 %]\n", + "Output : 0.00228826 [ 1.82 %]\n", + "Levels : 0.000177997 [ 0.14 %]\n", + "Report : 3.17e-07 [ 0.00 %]\n", + "Balance : 2.67e-07 [ 0.00 %]\n", + "Adjust : 0.0823488 [ 65.65 %]\n", + "Total : 0.125432 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6641 396 91 8 5 1 0 \n", + "1 : 6635 421 73 6 4 0 3 \n", + "2 : 6716 348 66 7 3 1 1 \n", + "3 : 6656 389 76 13 7 0 1 \n", + "4 : 6647 384 96 7 3 3 2 \n", + "5 : 6644 400 84 9 1 1 3 \n", + "6 : 6686 366 78 4 2 4 2 \n", + "7 : 6672 381 80 2 5 1 1 \n", + "8 : 6668 393 64 10 4 3 0 \n", + "9 : 6674 383 71 10 3 1 0 \n", + "10 : 6693 351 82 8 3 2 3 \n", + "11 : 6680 376 77 6 2 1 0 \n", + "12 : 6669 386 72 9 2 2 2 \n", + "13 : 6635 407 96 11 4 1 0 \n", + "\n", + "T : 93316 5381 1106 110 48 21 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5950e-03 sec\n", + "--- Collate = 3.3372e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.337159e-05 < 1.562500e-03 [17]\n", + "--- Max DT=3.039206e-01 > 1.000000e-01 [71677]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71677/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=9.8] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000474663 [ 0.34 %]\n", + "Velocity : 0.00108812 [ 0.78 %]\n", + "Force : 0.0312601 [ 22.37 %]\n", + "Coefs : 0.0134072 [ 9.59 %]\n", + "Output : 0.00229139 [ 1.64 %]\n", + "Levels : 0.00014548 [ 0.10 %]\n", + "Report : 4.53e-07 [ 0.00 %]\n", + "Balance : 2.17e-07 [ 0.00 %]\n", + "Adjust : 0.0909776 [ 65.11 %]\n", + "Total : 0.139739 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6640 397 90 9 4 2 0 \n", + "1 : 6636 422 70 6 3 2 3 \n", + "2 : 6714 350 67 7 0 3 1 \n", + "3 : 6656 389 77 10 8 0 2 \n", + "4 : 6644 387 94 8 3 2 4 \n", + "5 : 6644 400 84 9 1 1 3 \n", + "6 : 6685 366 77 7 1 2 4 \n", + "7 : 6673 380 81 2 3 2 1 \n", + "8 : 6670 391 66 9 5 1 0 \n", + "9 : 6675 382 72 9 3 0 1 \n", + "10 : 6694 351 80 9 4 1 3 \n", + "11 : 6682 374 76 8 1 1 0 \n", + "12 : 6671 381 72 10 4 1 3 \n", + "13 : 6635 407 96 11 4 1 0 \n", + "\n", + "T : 93319 5377 1102 114 44 19 25 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5941e-03 sec\n", + "--- Collate = 2.7670e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.659456e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.039304e-01 > 1.000000e-01 [71683]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71683/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=9.9] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000435628 [ 0.35 %]\n", + "Velocity : 0.00100214 [ 0.82 %]\n", + "Force : 0.0261496 [ 21.29 %]\n", + "Coefs : 0.012179 [ 9.92 %]\n", + "Output : 0.00216849 [ 1.77 %]\n", + "Levels : 0.000147644 [ 0.12 %]\n", + "Report : 3.06e-07 [ 0.00 %]\n", + "Balance : 2.23e-07 [ 0.00 %]\n", + "Adjust : 0.0806412 [ 65.66 %]\n", + "Total : 0.122815 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6639 401 87 8 4 3 0 \n", + "1 : 6635 426 66 8 1 3 3 \n", + "2 : 6714 349 65 9 1 1 3 \n", + "3 : 6654 390 78 11 7 0 2 \n", + "4 : 6646 384 95 8 4 1 4 \n", + "5 : 6643 401 84 9 1 1 3 \n", + "6 : 6685 365 78 8 2 0 4 \n", + "7 : 6673 381 80 4 1 1 2 \n", + "8 : 6670 389 70 7 5 0 1 \n", + "9 : 6676 382 71 9 3 0 1 \n", + "10 : 6693 352 81 10 3 0 3 \n", + "11 : 6683 372 76 10 0 1 0 \n", + "12 : 6672 380 73 8 4 4 1 \n", + "13 : 6638 404 97 11 1 3 0 \n", + "\n", + "T : 93321 5376 1101 120 37 18 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 4.6100e-03 sec\n", + "--- Collate = 2.5779e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.416402e-06 < 1.562500e-03 [8]\n", + "--- Max DT=3.039395e-01 > 1.000000e-01 [71677]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71677/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=10] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000417915 [ 0.32 %]\n", + "Velocity : 0.00098823 [ 0.75 %]\n", + "Force : 0.0255232 [ 19.28 %]\n", + "Coefs : 0.0120007 [ 9.06 %]\n", + "Output : 0.0146509 [ 11.07 %]\n", + "Levels : 0.00014729 [ 0.11 %]\n", + "Report : 8.98e-07 [ 0.00 %]\n", + "Balance : 4.56e-07 [ 0.00 %]\n", + "Adjust : 0.0785662 [ 59.35 %]\n", + "Total : 0.132387 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6637 403 87 8 4 2 1 \n", + "1 : 6634 428 64 9 1 3 3 \n", + "2 : 6712 351 65 9 1 0 4 \n", + "3 : 6655 390 79 9 7 1 1 \n", + "4 : 6646 383 96 7 5 2 3 \n", + "5 : 6642 403 84 7 3 2 1 \n", + "6 : 6685 363 80 7 3 0 4 \n", + "7 : 6673 382 78 3 3 2 1 \n", + "8 : 6668 388 73 8 3 1 1 \n", + "9 : 6676 382 73 7 2 1 1 \n", + "10 : 6691 355 79 12 1 3 1 \n", + "11 : 6683 372 75 11 0 1 0 \n", + "12 : 6674 378 72 9 2 5 2 \n", + "13 : 6638 402 99 11 1 3 0 \n", + "\n", + "T : 93314 5380 1104 117 36 26 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6761e-03 sec\n", + "--- Collate = 3.2023e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.889613e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.039481e-01 > 1.000000e-01 [71685]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71685/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=10.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000369334 [ 0.30 %]\n", + "Velocity : 0.00106646 [ 0.88 %]\n", + "Force : 0.0257793 [ 21.25 %]\n", + "Coefs : 0.011874 [ 9.79 %]\n", + "Output : 0.00215452 [ 1.78 %]\n", + "Levels : 0.000166805 [ 0.14 %]\n", + "Report : 5.8e-07 [ 0.00 %]\n", + "Balance : 2.38e-07 [ 0.00 %]\n", + "Adjust : 0.0798192 [ 65.79 %]\n", + "Total : 0.121324 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6636 405 86 6 4 2 3 \n", + "1 : 6631 431 64 9 1 3 3 \n", + "2 : 6711 352 65 9 0 1 4 \n", + "3 : 6656 389 77 14 4 2 0 \n", + "4 : 6646 383 94 8 8 2 1 \n", + "5 : 6642 401 86 6 3 4 0 \n", + "6 : 6687 361 78 8 3 5 0 \n", + "7 : 6674 381 77 4 3 1 2 \n", + "8 : 6670 386 71 10 1 2 2 \n", + "9 : 6676 382 71 9 2 2 0 \n", + "10 : 6690 356 79 13 0 4 0 \n", + "11 : 6684 371 75 11 1 0 0 \n", + "12 : 6674 380 71 9 2 1 5 \n", + "13 : 6641 400 98 9 4 1 1 \n", + "\n", + "T : 93318 5378 1092 125 36 30 21 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7542e-03 sec\n", + "--- Collate = 3.2564e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.128179e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.039562e-01 > 1.000000e-01 [71686]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71686/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=10.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000417057 [ 0.34 %]\n", + "Velocity : 0.000994268 [ 0.81 %]\n", + "Force : 0.0255868 [ 20.96 %]\n", + "Coefs : 0.0127372 [ 10.43 %]\n", + "Output : 0.00214354 [ 1.76 %]\n", + "Levels : 0.000144226 [ 0.12 %]\n", + "Report : 4.69e-07 [ 0.00 %]\n", + "Balance : 2.06e-07 [ 0.00 %]\n", + "Adjust : 0.079982 [ 65.51 %]\n", + "Total : 0.122096 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6633 406 87 9 2 1 4 \n", + "1 : 6631 430 64 10 3 1 3 \n", + "2 : 6710 354 64 8 1 4 1 \n", + "3 : 6654 391 76 14 3 3 1 \n", + "4 : 6646 384 94 8 6 3 1 \n", + "5 : 6641 402 86 7 4 2 0 \n", + "6 : 6685 364 77 8 6 1 1 \n", + "7 : 6673 381 78 5 2 1 2 \n", + "8 : 6670 386 70 9 3 2 2 \n", + "9 : 6675 383 72 4 5 2 1 \n", + "10 : 6688 357 81 11 4 1 0 \n", + "11 : 6685 370 74 11 2 0 0 \n", + "12 : 6676 378 72 7 4 0 5 \n", + "13 : 6638 401 99 11 2 2 1 \n", + "\n", + "T : 93305 5387 1094 122 47 23 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7286e-03 sec\n", + "--- Collate = 3.1263e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.226988e-04 < 1.562500e-03 [16]\n", + "--- Max DT=3.039639e-01 > 1.000000e-01 [71677]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71677/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=10.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000437027 [ 0.34 %]\n", + "Velocity : 0.00101957 [ 0.79 %]\n", + "Force : 0.0276618 [ 21.45 %]\n", + "Coefs : 0.0126325 [ 9.80 %]\n", + "Output : 0.00229686 [ 1.78 %]\n", + "Levels : 0.000142931 [ 0.11 %]\n", + "Report : 3.96e-07 [ 0.00 %]\n", + "Balance : 2.32e-07 [ 0.00 %]\n", + "Adjust : 0.0846686 [ 65.66 %]\n", + "Total : 0.128954 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6632 405 89 10 1 2 3 \n", + "1 : 6630 432 65 9 2 3 1 \n", + "2 : 6709 356 62 9 3 2 1 \n", + "3 : 6654 391 78 13 3 1 2 \n", + "4 : 6645 386 92 9 7 1 2 \n", + "5 : 6642 401 85 9 2 2 1 \n", + "6 : 6684 365 77 9 5 0 2 \n", + "7 : 6673 382 77 6 2 0 2 \n", + "8 : 6669 386 71 9 3 1 3 \n", + "9 : 6675 383 72 4 4 2 2 \n", + "10 : 6688 358 80 10 5 1 0 \n", + "11 : 6686 370 73 10 3 0 0 \n", + "12 : 6676 380 70 6 5 1 4 \n", + "13 : 6637 402 101 7 3 1 3 \n", + "\n", + "T : 93300 5397 1092 120 48 17 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7444e-03 sec\n", + "--- Collate = 3.0876e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.081838e-04 < 1.562500e-03 [16]\n", + "--- Max DT=3.039711e-01 > 1.000000e-01 [71673]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71673/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=10.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0004326 [ 0.36 %]\n", + "Velocity : 0.00102934 [ 0.85 %]\n", + "Force : 0.0256933 [ 21.21 %]\n", + "Coefs : 0.0119809 [ 9.89 %]\n", + "Output : 0.00213765 [ 1.76 %]\n", + "Levels : 0.000138688 [ 0.11 %]\n", + "Report : 2.24e-07 [ 0.00 %]\n", + "Balance : 2.11e-07 [ 0.00 %]\n", + "Adjust : 0.0796436 [ 65.74 %]\n", + "Total : 0.121147 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6633 406 88 7 2 3 3 \n", + "1 : 6630 429 70 8 3 1 1 \n", + "2 : 6708 357 62 7 6 1 1 \n", + "3 : 6654 391 79 11 4 0 3 \n", + "4 : 6644 386 93 12 3 2 2 \n", + "5 : 6641 402 82 12 2 1 2 \n", + "6 : 6683 367 76 9 5 0 2 \n", + "7 : 6673 383 75 8 0 2 1 \n", + "8 : 6670 385 71 9 1 2 4 \n", + "9 : 6675 383 71 4 5 1 3 \n", + "10 : 6688 358 80 9 7 0 0 \n", + "11 : 6684 372 71 12 3 0 0 \n", + "12 : 6676 380 71 6 4 5 0 \n", + "13 : 6635 404 99 8 3 3 2 \n", + "\n", + "T : 93294 5403 1088 122 48 21 24 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7370e-03 sec\n", + "--- Collate = 3.1832e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.606717e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.039782e-01 > 1.000000e-01 [71672]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71672/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=10.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000424569 [ 0.35 %]\n", + "Velocity : 0.000981968 [ 0.82 %]\n", + "Force : 0.0254744 [ 21.28 %]\n", + "Coefs : 0.0123445 [ 10.31 %]\n", + "Output : 0.00214418 [ 1.79 %]\n", + "Levels : 0.000159511 [ 0.13 %]\n", + "Report : 3.55e-07 [ 0.00 %]\n", + "Balance : 2.45e-07 [ 0.00 %]\n", + "Adjust : 0.0780671 [ 65.23 %]\n", + "Total : 0.119687 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6632 406 90 7 3 2 2 \n", + "1 : 6630 429 70 10 2 1 0 \n", + "2 : 6705 360 62 7 6 2 0 \n", + "3 : 6654 395 74 12 3 2 2 \n", + "4 : 6645 385 92 14 1 3 2 \n", + "5 : 6643 401 81 15 0 0 2 \n", + "6 : 6683 369 73 11 3 2 1 \n", + "7 : 6674 383 77 5 1 1 1 \n", + "8 : 6670 385 73 6 3 2 3 \n", + "9 : 6675 383 71 5 4 1 3 \n", + "10 : 6690 354 82 11 5 0 0 \n", + "11 : 6683 372 72 12 1 2 0 \n", + "12 : 6676 380 71 7 7 0 1 \n", + "13 : 6636 403 99 8 3 2 3 \n", + "\n", + "T : 93296 5405 1087 130 42 20 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7235e-03 sec\n", + "--- Collate = 3.0033e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.471743e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.039848e-01 > 1.000000e-01 [71680]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71680/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=10.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000423636 [ 0.35 %]\n", + "Velocity : 0.00103079 [ 0.85 %]\n", + "Force : 0.0262796 [ 21.60 %]\n", + "Coefs : 0.0121165 [ 9.96 %]\n", + "Output : 0.0022269 [ 1.83 %]\n", + "Levels : 0.000137393 [ 0.11 %]\n", + "Report : 3.28e-07 [ 0.00 %]\n", + "Balance : 2.35e-07 [ 0.00 %]\n", + "Adjust : 0.0793418 [ 65.22 %]\n", + "Total : 0.121649 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6632 406 92 5 2 3 2 \n", + "1 : 6629 430 71 9 3 0 0 \n", + "2 : 6703 363 61 7 6 2 0 \n", + "3 : 6656 394 74 10 4 2 2 \n", + "4 : 6645 384 94 12 2 3 2 \n", + "5 : 6644 401 80 14 0 0 3 \n", + "6 : 6683 370 72 10 3 3 1 \n", + "7 : 6672 385 76 6 1 1 1 \n", + "8 : 6669 387 73 6 1 3 3 \n", + "9 : 6675 383 71 5 3 3 2 \n", + "10 : 6690 353 84 9 5 1 0 \n", + "11 : 6683 371 73 12 1 1 1 \n", + "12 : 6675 381 72 7 6 0 1 \n", + "13 : 6635 403 100 7 3 5 1 \n", + "\n", + "T : 93291 5411 1093 119 40 27 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6971e-03 sec\n", + "--- Collate = 3.2141e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.558983e-04 < 1.562500e-03 [8]\n", + "--- Max DT=3.039910e-01 > 1.000000e-01 [71689]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71689/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=10.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000426309 [ 0.35 %]\n", + "Velocity : 0.00103816 [ 0.84 %]\n", + "Force : 0.0266053 [ 21.61 %]\n", + "Coefs : 0.0122693 [ 9.96 %]\n", + "Output : 0.00221032 [ 1.79 %]\n", + "Levels : 0.000143674 [ 0.12 %]\n", + "Report : 4.11e-07 [ 0.00 %]\n", + "Balance : 2.21e-07 [ 0.00 %]\n", + "Adjust : 0.0803539 [ 65.25 %]\n", + "Total : 0.12314 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6634 405 89 6 3 4 1 \n", + "1 : 6626 433 71 9 3 0 0 \n", + "2 : 6703 365 60 7 3 4 0 \n", + "3 : 6655 395 74 9 7 1 1 \n", + "4 : 6645 383 96 12 1 2 3 \n", + "5 : 6643 400 81 15 0 1 2 \n", + "6 : 6682 370 72 9 5 3 1 \n", + "7 : 6672 385 74 6 4 0 1 \n", + "8 : 6668 387 72 8 3 3 1 \n", + "9 : 6677 379 72 8 1 4 1 \n", + "10 : 6690 353 84 8 5 2 0 \n", + "11 : 6681 371 75 12 0 1 2 \n", + "12 : 6675 382 70 10 3 1 1 \n", + "13 : 6635 403 100 6 7 0 3 \n", + "\n", + "T : 93286 5411 1090 125 45 26 17 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6352e-03 sec\n", + "--- Collate = 3.0208e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.954636e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.039969e-01 > 1.000000e-01 [71690]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71690/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=10.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000451032 [ 0.37 %]\n", + "Velocity : 0.00101003 [ 0.82 %]\n", + "Force : 0.026432 [ 21.55 %]\n", + "Coefs : 0.0128151 [ 10.45 %]\n", + "Output : 0.00219126 [ 1.79 %]\n", + "Levels : 0.000163816 [ 0.13 %]\n", + "Report : 4.1e-07 [ 0.00 %]\n", + "Balance : 2.77e-07 [ 0.00 %]\n", + "Adjust : 0.0795012 [ 64.82 %]\n", + "Total : 0.122657 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6632 408 87 6 2 5 2 \n", + "1 : 6628 432 71 8 2 1 0 \n", + "2 : 6700 368 60 7 3 2 2 \n", + "3 : 6655 394 76 10 5 0 2 \n", + "4 : 6645 384 96 11 2 0 4 \n", + "5 : 6646 397 82 14 1 2 0 \n", + "6 : 6681 369 75 8 3 4 2 \n", + "7 : 6670 386 76 5 3 2 0 \n", + "8 : 6669 387 71 8 3 2 2 \n", + "9 : 6674 383 70 10 1 2 2 \n", + "10 : 6687 356 84 9 3 0 3 \n", + "11 : 6681 371 76 10 1 0 3 \n", + "12 : 6672 388 70 8 1 3 0 \n", + "13 : 6634 404 100 6 7 0 3 \n", + "\n", + "T : 93274 5427 1094 120 37 23 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7619e-03 sec\n", + "--- Collate = 2.9200e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.720376e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.040021e-01 > 1.000000e-01 [71703]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71703/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=10.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000420402 [ 0.34 %]\n", + "Velocity : 0.00101732 [ 0.83 %]\n", + "Force : 0.0261035 [ 21.19 %]\n", + "Coefs : 0.0134855 [ 10.95 %]\n", + "Output : 0.00216897 [ 1.76 %]\n", + "Levels : 0.000139845 [ 0.11 %]\n", + "Report : 4.6e-07 [ 0.00 %]\n", + "Balance : 2.04e-07 [ 0.00 %]\n", + "Adjust : 0.0797616 [ 64.75 %]\n", + "Total : 0.123188 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6635 405 87 7 3 2 3 \n", + "1 : 6627 432 73 7 1 2 0 \n", + "2 : 6700 368 62 5 3 0 4 \n", + "3 : 6656 394 75 13 2 1 1 \n", + "4 : 6644 384 98 8 4 1 3 \n", + "5 : 6648 396 82 11 4 1 0 \n", + "6 : 6684 367 75 9 0 2 5 \n", + "7 : 6670 386 75 7 2 1 1 \n", + "8 : 6672 384 71 9 3 1 2 \n", + "9 : 6673 384 70 9 4 0 2 \n", + "10 : 6688 357 84 9 0 1 3 \n", + "11 : 6686 364 80 8 1 1 2 \n", + "12 : 6673 386 69 10 0 2 2 \n", + "13 : 6633 406 99 8 4 2 2 \n", + "\n", + "T : 93289 5413 1100 120 31 17 30 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6553e-03 sec\n", + "--- Collate = 2.7193e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.150055e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.040072e-01 > 1.000000e-01 [71711]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71711/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=11] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000426343 [ 0.32 %]\n", + "Velocity : 0.000985082 [ 0.74 %]\n", + "Force : 0.0254676 [ 19.08 %]\n", + "Coefs : 0.0120461 [ 9.03 %]\n", + "Output : 0.0154012 [ 11.54 %]\n", + "Levels : 0.000145331 [ 0.11 %]\n", + "Report : 8.81e-07 [ 0.00 %]\n", + "Balance : 5.3e-07 [ 0.00 %]\n", + "Adjust : 0.0789051 [ 59.12 %]\n", + "Total : 0.13347 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6636 404 85 8 5 1 3 \n", + "1 : 6627 431 74 6 1 1 2 \n", + "2 : 6698 368 63 6 3 0 4 \n", + "3 : 6657 394 76 11 2 1 1 \n", + "4 : 6645 381 101 8 3 4 0 \n", + "5 : 6648 396 81 12 5 0 0 \n", + "6 : 6682 369 76 7 2 0 6 \n", + "7 : 6670 386 77 6 0 1 2 \n", + "8 : 6671 384 72 10 2 1 2 \n", + "9 : 6672 387 67 10 3 1 2 \n", + "10 : 6689 355 83 11 0 1 3 \n", + "11 : 6685 365 80 8 2 1 1 \n", + "12 : 6675 386 67 8 3 0 3 \n", + "13 : 6637 401 102 6 5 3 0 \n", + "\n", + "T : 93292 5407 1104 117 36 15 29 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6429e-03 sec\n", + "--- Collate = 3.1892e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.773616e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.040120e-01 > 1.000000e-01 [71707]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71707/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=11.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000391991 [ 0.30 %]\n", + "Velocity : 0.00112799 [ 0.87 %]\n", + "Force : 0.0269941 [ 20.77 %]\n", + "Coefs : 0.0130682 [ 10.05 %]\n", + "Output : 0.00246145 [ 1.89 %]\n", + "Levels : 0.000152591 [ 0.12 %]\n", + "Report : 4.19e-07 [ 0.00 %]\n", + "Balance : 2.4e-07 [ 0.00 %]\n", + "Adjust : 0.0857002 [ 65.93 %]\n", + "Total : 0.129993 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6636 407 82 7 5 3 2 \n", + "1 : 6626 433 73 5 2 1 2 \n", + "2 : 6697 368 63 7 3 2 2 \n", + "3 : 6656 395 76 13 0 2 0 \n", + "4 : 6643 383 100 10 3 2 1 \n", + "5 : 6646 398 79 12 6 1 0 \n", + "6 : 6682 370 76 7 1 1 5 \n", + "7 : 6671 384 78 4 2 0 3 \n", + "8 : 6671 385 71 11 2 1 1 \n", + "9 : 6671 388 67 10 3 2 1 \n", + "10 : 6690 352 82 14 0 2 2 \n", + "11 : 6683 367 80 9 1 2 0 \n", + "12 : 6673 388 66 7 4 1 3 \n", + "13 : 6638 400 101 8 4 1 2 \n", + "\n", + "T : 93283 5418 1094 124 36 21 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5145e-03 sec\n", + "--- Collate = 2.9490e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.936140e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.040166e-01 > 1.000000e-01 [71708]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71708/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=11.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000438233 [ 0.36 %]\n", + "Velocity : 0.00103302 [ 0.86 %]\n", + "Force : 0.0259239 [ 21.49 %]\n", + "Coefs : 0.0121507 [ 10.07 %]\n", + "Output : 0.00223716 [ 1.85 %]\n", + "Levels : 0.000169793 [ 0.14 %]\n", + "Report : 4.86e-07 [ 0.00 %]\n", + "Balance : 2.58e-07 [ 0.00 %]\n", + "Adjust : 0.0785813 [ 65.15 %]\n", + "Total : 0.120625 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6638 405 83 9 4 2 1 \n", + "1 : 6628 432 71 6 1 1 3 \n", + "2 : 6697 368 63 6 7 1 0 \n", + "3 : 6657 394 77 9 3 1 1 \n", + "4 : 6644 382 99 13 3 0 1 \n", + "5 : 6646 397 81 11 5 2 0 \n", + "6 : 6681 371 72 11 3 3 1 \n", + "7 : 6670 386 78 2 2 2 2 \n", + "8 : 6671 386 70 11 3 1 0 \n", + "9 : 6671 388 69 9 2 2 1 \n", + "10 : 6690 352 83 12 3 1 1 \n", + "11 : 6682 368 80 9 2 0 1 \n", + "12 : 6672 386 68 8 4 2 2 \n", + "13 : 6637 401 100 9 3 2 2 \n", + "\n", + "T : 93284 5416 1094 125 45 20 16 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5214e-03 sec\n", + "--- Collate = 3.1231e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.672147e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.040211e-01 > 1.000000e-01 [71694]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71694/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=11.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00043166 [ 0.36 %]\n", + "Velocity : 0.000979317 [ 0.81 %]\n", + "Force : 0.0255645 [ 21.10 %]\n", + "Coefs : 0.0120963 [ 9.99 %]\n", + "Output : 0.00222045 [ 1.83 %]\n", + "Levels : 0.000143499 [ 0.12 %]\n", + "Report : 2.64e-07 [ 0.00 %]\n", + "Balance : 2.39e-07 [ 0.00 %]\n", + "Adjust : 0.0796154 [ 65.72 %]\n", + "Total : 0.121142 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6638 406 82 8 5 2 1 \n", + "1 : 6626 434 70 7 0 3 2 \n", + "2 : 6697 369 63 6 5 1 1 \n", + "3 : 6658 394 74 10 4 1 1 \n", + "4 : 6644 382 100 10 5 0 1 \n", + "5 : 6648 395 82 10 4 1 2 \n", + "6 : 6682 370 76 7 2 4 1 \n", + "7 : 6672 383 80 0 2 3 2 \n", + "8 : 6670 389 71 9 3 0 0 \n", + "9 : 6669 391 69 8 1 1 3 \n", + "10 : 6689 353 81 16 1 1 1 \n", + "11 : 6681 370 79 9 1 1 1 \n", + "12 : 6674 385 68 8 3 3 1 \n", + "13 : 6635 403 101 7 3 2 3 \n", + "\n", + "T : 93283 5424 1096 115 39 23 20 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5293e-03 sec\n", + "--- Collate = 3.1573e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.431727e-04 < 1.562500e-03 [15]\n", + "--- Max DT=3.040252e-01 > 1.000000e-01 [71697]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71697/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=11.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000420682 [ 0.35 %]\n", + "Velocity : 0.000987401 [ 0.83 %]\n", + "Force : 0.0254586 [ 21.33 %]\n", + "Coefs : 0.0119474 [ 10.01 %]\n", + "Output : 0.00217613 [ 1.82 %]\n", + "Levels : 0.000143927 [ 0.12 %]\n", + "Report : 2.6e-07 [ 0.00 %]\n", + "Balance : 2.25e-07 [ 0.00 %]\n", + "Adjust : 0.0781549 [ 65.47 %]\n", + "Total : 0.119381 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6637 407 82 9 3 3 1 \n", + "1 : 6624 436 70 7 1 1 3 \n", + "2 : 6695 373 61 8 2 1 2 \n", + "3 : 6658 394 74 10 3 2 1 \n", + "4 : 6646 378 102 10 4 2 0 \n", + "5 : 6649 393 83 9 2 4 2 \n", + "6 : 6683 368 76 8 3 2 2 \n", + "7 : 6670 384 81 0 2 3 2 \n", + "8 : 6671 389 70 8 4 0 0 \n", + "9 : 6671 389 68 7 2 2 3 \n", + "10 : 6689 354 82 13 2 2 0 \n", + "11 : 6681 370 78 9 2 0 2 \n", + "12 : 6674 385 69 7 4 1 2 \n", + "13 : 6634 403 102 7 2 4 2 \n", + "\n", + "T : 93282 5423 1098 112 36 27 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7074e-03 sec\n", + "--- Collate = 3.1197e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.332358e-05 < 1.562500e-03 [17]\n", + "--- Max DT=3.040291e-01 > 1.000000e-01 [71697]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71697/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=11.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000431802 [ 0.36 %]\n", + "Velocity : 0.000997391 [ 0.83 %]\n", + "Force : 0.0259063 [ 21.54 %]\n", + "Coefs : 0.0120189 [ 9.99 %]\n", + "Output : 0.00215999 [ 1.80 %]\n", + "Levels : 0.000163 [ 0.14 %]\n", + "Report : 7.35e-07 [ 0.00 %]\n", + "Balance : 2.31e-07 [ 0.00 %]\n", + "Adjust : 0.0785106 [ 65.27 %]\n", + "Total : 0.120292 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6639 406 81 8 4 3 1 \n", + "1 : 6624 436 69 8 3 0 2 \n", + "2 : 6694 375 61 7 2 0 3 \n", + "3 : 6657 394 78 7 2 1 3 \n", + "4 : 6646 379 102 8 5 1 1 \n", + "5 : 6650 392 81 10 2 3 4 \n", + "6 : 6681 371 73 6 8 0 3 \n", + "7 : 6669 384 81 1 4 0 3 \n", + "8 : 6671 389 72 6 4 0 0 \n", + "9 : 6672 388 69 5 2 2 4 \n", + "10 : 6690 352 85 9 5 0 1 \n", + "11 : 6684 367 79 7 1 3 1 \n", + "12 : 6675 382 71 8 3 1 2 \n", + "13 : 6633 404 102 9 3 1 2 \n", + "\n", + "T : 93285 5419 1104 99 48 15 30 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5859e-03 sec\n", + "--- Collate = 3.2442e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.108377e-07 < 1.562500e-03 [16]\n", + "--- Max DT=3.040326e-01 > 1.000000e-01 [71700]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71700/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=11.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000443226 [ 0.36 %]\n", + "Velocity : 0.00103876 [ 0.84 %]\n", + "Force : 0.0260947 [ 21.21 %]\n", + "Coefs : 0.0128473 [ 10.44 %]\n", + "Output : 0.00230508 [ 1.87 %]\n", + "Levels : 0.000165269 [ 0.13 %]\n", + "Report : 4.08e-07 [ 0.00 %]\n", + "Balance : 2.43e-07 [ 0.00 %]\n", + "Adjust : 0.0800462 [ 65.06 %]\n", + "Total : 0.123035 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6639 407 80 8 3 4 1 \n", + "1 : 6623 437 69 7 4 1 1 \n", + "2 : 6694 375 60 6 4 1 2 \n", + "3 : 6655 396 78 8 1 0 4 \n", + "4 : 6647 379 101 8 4 2 1 \n", + "5 : 6649 393 80 11 2 3 4 \n", + "6 : 6680 372 72 8 6 2 2 \n", + "7 : 6668 387 79 3 1 1 3 \n", + "8 : 6672 389 72 6 1 2 0 \n", + "9 : 6673 388 67 6 3 2 3 \n", + "10 : 6693 350 83 9 6 0 1 \n", + "11 : 6683 366 80 8 2 1 2 \n", + "12 : 6677 380 70 10 2 1 2 \n", + "13 : 6631 406 101 9 4 1 2 \n", + "\n", + "T : 93284 5425 1092 107 43 21 28 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5351e-03 sec\n", + "--- Collate = 3.0073e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.696624e-06 < 1.562500e-03 [10]\n", + "--- Max DT=3.040356e-01 > 1.000000e-01 [71697]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71697/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=11.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000450746 [ 0.37 %]\n", + "Velocity : 0.00102192 [ 0.84 %]\n", + "Force : 0.0269687 [ 22.09 %]\n", + "Coefs : 0.0122143 [ 10.01 %]\n", + "Output : 0.00218048 [ 1.79 %]\n", + "Levels : 0.000142864 [ 0.12 %]\n", + "Report : 3.83e-07 [ 0.00 %]\n", + "Balance : 2.42e-07 [ 0.00 %]\n", + "Adjust : 0.0790002 [ 64.72 %]\n", + "Total : 0.12207 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6639 406 81 6 6 1 3 \n", + "1 : 6623 438 66 11 2 1 1 \n", + "2 : 6694 376 59 7 3 2 1 \n", + "3 : 6656 395 78 8 1 0 4 \n", + "4 : 6647 382 98 7 4 1 3 \n", + "5 : 6646 395 80 11 2 4 4 \n", + "6 : 6682 372 71 7 3 5 2 \n", + "7 : 6669 387 77 5 0 2 2 \n", + "8 : 6675 384 74 6 0 3 0 \n", + "9 : 6675 386 67 6 3 3 2 \n", + "10 : 6692 352 82 9 5 1 1 \n", + "11 : 6683 366 79 9 1 2 2 \n", + "12 : 6676 383 67 12 2 1 1 \n", + "13 : 6632 406 100 9 2 5 0 \n", + "\n", + "T : 93289 5428 1079 113 34 31 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5216e-03 sec\n", + "--- Collate = 2.9262e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.717677e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.040384e-01 > 1.000000e-01 [71691]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71691/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=11.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000424566 [ 0.35 %]\n", + "Velocity : 0.000997457 [ 0.83 %]\n", + "Force : 0.0256412 [ 21.24 %]\n", + "Coefs : 0.0128428 [ 10.64 %]\n", + "Output : 0.00218687 [ 1.81 %]\n", + "Levels : 0.000142854 [ 0.12 %]\n", + "Report : 4.3e-07 [ 0.00 %]\n", + "Balance : 2.25e-07 [ 0.00 %]\n", + "Adjust : 0.0784177 [ 64.94 %]\n", + "Total : 0.120745 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6639 406 83 5 6 1 2 \n", + "1 : 6624 438 66 10 2 1 1 \n", + "2 : 6692 379 59 6 4 2 0 \n", + "3 : 6657 394 78 8 1 3 1 \n", + "4 : 6648 381 98 7 4 1 3 \n", + "5 : 6645 397 80 10 3 2 5 \n", + "6 : 6684 371 70 6 2 7 2 \n", + "7 : 6668 389 76 4 1 3 1 \n", + "8 : 6675 384 73 7 0 2 1 \n", + "9 : 6675 386 67 5 3 4 2 \n", + "10 : 6695 351 79 8 6 3 0 \n", + "11 : 6681 368 79 9 1 1 3 \n", + "12 : 6672 387 66 13 2 1 1 \n", + "13 : 6632 406 99 11 3 2 1 \n", + "\n", + "T : 93287 5437 1073 109 38 33 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.4758e-03 sec\n", + "--- Collate = 3.0409e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.360739e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.040408e-01 > 1.000000e-01 [71693]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71693/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=11.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000418964 [ 0.35 %]\n", + "Velocity : 0.000993235 [ 0.83 %]\n", + "Force : 0.0256286 [ 21.37 %]\n", + "Coefs : 0.0121671 [ 10.14 %]\n", + "Output : 0.00220984 [ 1.84 %]\n", + "Levels : 0.000166694 [ 0.14 %]\n", + "Report : 3.76e-07 [ 0.00 %]\n", + "Balance : 2.27e-07 [ 0.00 %]\n", + "Adjust : 0.0782719 [ 65.25 %]\n", + "Total : 0.11995 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6639 406 81 8 5 1 2 \n", + "1 : 6623 438 67 10 2 1 1 \n", + "2 : 6687 384 59 6 4 2 0 \n", + "3 : 6657 394 79 7 2 3 0 \n", + "4 : 6647 382 96 8 4 2 3 \n", + "5 : 6646 395 82 11 2 2 4 \n", + "6 : 6686 370 69 6 4 2 5 \n", + "7 : 6668 389 74 6 3 0 2 \n", + "8 : 6675 383 73 8 1 0 2 \n", + "9 : 6675 386 67 6 3 2 3 \n", + "10 : 6696 351 78 9 3 4 1 \n", + "11 : 6678 371 78 10 2 1 2 \n", + "12 : 6673 383 70 13 2 1 0 \n", + "13 : 6631 406 100 11 3 1 2 \n", + "\n", + "T : 93281 5438 1073 119 40 22 27 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5314e-03 sec\n", + "--- Collate = 2.7057e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.131041e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.040431e-01 > 1.000000e-01 [71698]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71698/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=12] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000421149 [ 0.31 %]\n", + "Velocity : 0.00102407 [ 0.77 %]\n", + "Force : 0.0263315 [ 19.69 %]\n", + "Coefs : 0.0121058 [ 9.05 %]\n", + "Output : 0.0137234 [ 10.26 %]\n", + "Levels : 0.000156906 [ 0.12 %]\n", + "Report : 5.19e-07 [ 0.00 %]\n", + "Balance : 4.51e-07 [ 0.00 %]\n", + "Adjust : 0.0798651 [ 59.72 %]\n", + "Total : 0.133724 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6639 402 87 8 3 3 0 \n", + "1 : 6623 437 68 11 1 2 0 \n", + "2 : 6687 384 59 6 5 1 0 \n", + "3 : 6656 395 81 5 4 1 0 \n", + "4 : 6648 380 97 10 3 2 2 \n", + "5 : 6645 397 84 9 4 0 3 \n", + "6 : 6684 371 71 5 3 2 6 \n", + "7 : 6669 387 75 7 2 1 1 \n", + "8 : 6672 385 73 9 1 0 2 \n", + "9 : 6675 387 67 6 3 0 4 \n", + "10 : 6695 353 79 9 2 1 3 \n", + "11 : 6678 371 78 10 2 2 1 \n", + "12 : 6673 382 70 10 7 0 0 \n", + "13 : 6630 405 100 12 5 1 1 \n", + "\n", + "T : 93274 5436 1089 117 45 16 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6052e-03 sec\n", + "--- Collate = 3.4182e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.890652e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.040453e-01 > 1.000000e-01 [71700]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71700/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=12.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000369544 [ 0.30 %]\n", + "Velocity : 0.00108173 [ 0.89 %]\n", + "Force : 0.026003 [ 21.32 %]\n", + "Coefs : 0.0127426 [ 10.45 %]\n", + "Output : 0.00226985 [ 1.86 %]\n", + "Levels : 0.000155449 [ 0.13 %]\n", + "Report : 4.82e-07 [ 0.00 %]\n", + "Balance : 2.1e-07 [ 0.00 %]\n", + "Adjust : 0.0792409 [ 64.97 %]\n", + "Total : 0.121956 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6638 402 87 10 4 0 1 \n", + "1 : 6623 436 72 7 2 1 1 \n", + "2 : 6686 385 58 8 4 0 1 \n", + "3 : 6655 395 81 7 3 1 0 \n", + "4 : 6650 378 97 8 6 2 1 \n", + "5 : 6643 398 86 8 5 2 0 \n", + "6 : 6685 370 71 6 3 2 5 \n", + "7 : 6668 389 74 9 1 0 1 \n", + "8 : 6670 387 74 7 1 2 1 \n", + "9 : 6679 383 66 8 2 1 3 \n", + "10 : 6697 352 79 8 2 1 3 \n", + "11 : 6678 371 78 11 3 1 0 \n", + "12 : 6673 384 69 9 6 1 0 \n", + "13 : 6631 405 98 13 4 3 0 \n", + "\n", + "T : 93276 5435 1090 119 46 17 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5609e-03 sec\n", + "--- Collate = 3.0768e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.317007e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.040473e-01 > 1.000000e-01 [71708]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71708/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=12.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000437626 [ 0.36 %]\n", + "Velocity : 0.0010093 [ 0.84 %]\n", + "Force : 0.0259988 [ 21.51 %]\n", + "Coefs : 0.0120336 [ 9.96 %]\n", + "Output : 0.00220474 [ 1.82 %]\n", + "Levels : 0.000149589 [ 0.12 %]\n", + "Report : 2.65e-07 [ 0.00 %]\n", + "Balance : 2.52e-07 [ 0.00 %]\n", + "Adjust : 0.0789157 [ 65.31 %]\n", + "Total : 0.120841 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6638 401 87 12 2 1 1 \n", + "1 : 6621 439 71 7 3 0 1 \n", + "2 : 6687 384 58 10 2 0 1 \n", + "3 : 6655 397 79 9 1 1 0 \n", + "4 : 6653 374 98 8 5 3 1 \n", + "5 : 6642 399 84 13 2 2 0 \n", + "6 : 6685 371 68 8 3 5 2 \n", + "7 : 6666 391 74 9 1 1 0 \n", + "8 : 6670 385 76 7 2 2 0 \n", + "9 : 6680 381 67 9 1 3 1 \n", + "10 : 6697 354 74 11 2 2 2 \n", + "11 : 6679 370 79 10 4 0 0 \n", + "12 : 6674 382 71 7 6 1 1 \n", + "13 : 6632 404 97 14 4 2 1 \n", + "\n", + "T : 93279 5432 1083 134 38 23 11 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5752e-03 sec\n", + "--- Collate = 3.2950e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.182589e-05 < 1.562500e-03 [6]\n", + "--- Max DT=3.040489e-01 > 1.000000e-01 [71698]\n", + "----------------------------------------------------------------------\n", + " Component | low: 6/100000\n", + " Component | high: 71698/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=12.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000420519 [ 0.34 %]\n", + "Velocity : 0.00101807 [ 0.81 %]\n", + "Force : 0.0258751 [ 20.70 %]\n", + "Coefs : 0.0135646 [ 10.85 %]\n", + "Output : 0.00227727 [ 1.82 %]\n", + "Levels : 0.000179041 [ 0.14 %]\n", + "Report : 3.19e-07 [ 0.00 %]\n", + "Balance : 2.37e-07 [ 0.00 %]\n", + "Adjust : 0.0816007 [ 65.27 %]\n", + "Total : 0.125029 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6638 403 85 12 1 1 2 \n", + "1 : 6620 440 72 6 1 2 1 \n", + "2 : 6690 379 61 10 1 0 1 \n", + "3 : 6655 396 80 9 1 0 1 \n", + "4 : 6654 373 99 7 6 2 1 \n", + "5 : 6644 399 81 10 5 1 2 \n", + "6 : 6685 370 69 9 5 2 2 \n", + "7 : 6667 390 76 7 0 1 1 \n", + "8 : 6671 384 77 5 3 2 0 \n", + "9 : 6680 380 69 9 3 1 0 \n", + "10 : 6694 358 73 9 5 3 0 \n", + "11 : 6680 370 77 15 0 0 0 \n", + "12 : 6674 382 73 7 3 1 2 \n", + "13 : 6631 405 98 12 6 1 1 \n", + "\n", + "T : 93283 5429 1090 127 40 17 14 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5536e-03 sec\n", + "--- Collate = 4.3029e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.828061e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.040504e-01 > 1.000000e-01 [71687]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71687/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=12.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000441227 [ 0.37 %]\n", + "Velocity : 0.000997133 [ 0.83 %]\n", + "Force : 0.0256388 [ 21.23 %]\n", + "Coefs : 0.0119977 [ 9.93 %]\n", + "Output : 0.00221639 [ 1.83 %]\n", + "Levels : 0.000147557 [ 0.12 %]\n", + "Report : 2.99e-07 [ 0.00 %]\n", + "Balance : 2.3e-07 [ 0.00 %]\n", + "Adjust : 0.0792548 [ 65.61 %]\n", + "Total : 0.120789 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6642 398 86 8 5 2 1 \n", + "1 : 6619 440 72 7 1 3 0 \n", + "2 : 6691 378 61 9 2 1 0 \n", + "3 : 6653 397 80 11 0 0 1 \n", + "4 : 6655 373 97 10 4 2 1 \n", + "5 : 6643 401 80 11 2 3 2 \n", + "6 : 6686 368 68 14 2 2 2 \n", + "7 : 6667 391 76 6 1 0 1 \n", + "8 : 6671 384 77 5 4 0 1 \n", + "9 : 6680 380 70 9 2 1 0 \n", + "10 : 6693 357 75 9 6 1 1 \n", + "11 : 6680 370 77 14 1 0 0 \n", + "12 : 6674 382 73 8 2 1 2 \n", + "13 : 6630 405 100 10 7 1 1 \n", + "\n", + "T : 93284 5424 1092 131 39 17 13 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5878e-03 sec\n", + "--- Collate = 3.1171e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.819271e-04 < 1.562500e-03 [6]\n", + "--- Max DT=3.040516e-01 > 1.000000e-01 [71687]\n", + "----------------------------------------------------------------------\n", + " Component | low: 6/100000\n", + " Component | high: 71687/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=12.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000428134 [ 0.35 %]\n", + "Velocity : 0.0009954 [ 0.81 %]\n", + "Force : 0.0262637 [ 21.43 %]\n", + "Coefs : 0.0122338 [ 9.98 %]\n", + "Output : 0.00220827 [ 1.80 %]\n", + "Levels : 0.000155285 [ 0.13 %]\n", + "Report : 2.22e-07 [ 0.00 %]\n", + "Balance : 2.58e-07 [ 0.00 %]\n", + "Adjust : 0.0801822 [ 65.42 %]\n", + "Total : 0.122562 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6642 399 84 10 4 1 2 \n", + "1 : 6621 437 73 8 1 0 2 \n", + "2 : 6691 379 63 6 3 0 0 \n", + "3 : 6654 395 82 10 0 0 1 \n", + "4 : 6653 375 96 12 2 3 1 \n", + "5 : 6644 399 79 13 2 0 5 \n", + "6 : 6685 369 71 12 1 1 3 \n", + "7 : 6668 390 77 5 1 0 1 \n", + "8 : 6671 385 75 6 3 1 1 \n", + "9 : 6680 380 68 11 2 1 0 \n", + "10 : 6695 353 78 9 4 1 2 \n", + "11 : 6679 369 80 13 1 0 0 \n", + "12 : 6675 381 72 9 2 1 2 \n", + "13 : 6628 409 97 9 8 2 1 \n", + "\n", + "T : 93286 5420 1095 133 34 11 21 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5550e-03 sec\n", + "--- Collate = 3.1261e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.111719e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.040545e-01 > 1.000000e-01 [71690]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71690/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=12.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000427867 [ 0.36 %]\n", + "Velocity : 0.000986352 [ 0.82 %]\n", + "Force : 0.0256548 [ 21.42 %]\n", + "Coefs : 0.0119449 [ 9.97 %]\n", + "Output : 0.00218861 [ 1.83 %]\n", + "Levels : 0.000174486 [ 0.15 %]\n", + "Report : 3.02e-07 [ 0.00 %]\n", + "Balance : 2.21e-07 [ 0.00 %]\n", + "Adjust : 0.0783079 [ 65.38 %]\n", + "Total : 0.119778 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6644 397 83 11 3 3 1 \n", + "1 : 6625 433 72 8 2 0 2 \n", + "2 : 6693 377 63 6 2 1 0 \n", + "3 : 6653 396 82 10 1 0 0 \n", + "4 : 6653 375 97 9 3 4 1 \n", + "5 : 6645 400 77 13 1 3 3 \n", + "6 : 6684 367 74 12 1 1 3 \n", + "7 : 6669 386 81 5 0 1 0 \n", + "8 : 6674 383 73 7 1 3 1 \n", + "9 : 6680 379 68 10 3 1 1 \n", + "10 : 6696 349 80 9 5 1 2 \n", + "11 : 6679 369 81 10 2 1 0 \n", + "12 : 6675 383 70 9 2 2 1 \n", + "13 : 6629 408 99 10 6 0 2 \n", + "\n", + "T : 93299 5402 1100 129 32 21 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6228e-03 sec\n", + "--- Collate = 3.1298e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.376645e-06 < 1.562500e-03 [9]\n", + "--- Max DT=3.040652e-01 > 1.000000e-01 [71678]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71678/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=12.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000439685 [ 0.36 %]\n", + "Velocity : 0.000992889 [ 0.82 %]\n", + "Force : 0.0257594 [ 21.26 %]\n", + "Coefs : 0.0122825 [ 10.14 %]\n", + "Output : 0.0022269 [ 1.84 %]\n", + "Levels : 0.000144941 [ 0.12 %]\n", + "Report : 4.05e-07 [ 0.00 %]\n", + "Balance : 2.3e-07 [ 0.00 %]\n", + "Adjust : 0.079225 [ 65.38 %]\n", + "Total : 0.121168 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6642 401 83 8 5 0 3 \n", + "1 : 6628 429 71 10 2 0 2 \n", + "2 : 6691 377 65 7 1 0 1 \n", + "3 : 6653 397 82 7 2 1 0 \n", + "4 : 6652 376 98 8 4 1 3 \n", + "5 : 6645 400 78 10 3 2 4 \n", + "6 : 6682 368 73 13 1 3 2 \n", + "7 : 6668 386 83 4 0 1 0 \n", + "8 : 6673 382 75 7 1 0 4 \n", + "9 : 6680 379 70 9 1 1 2 \n", + "10 : 6696 349 79 10 4 3 1 \n", + "11 : 6678 371 82 5 5 0 1 \n", + "12 : 6676 382 70 10 2 1 1 \n", + "13 : 6632 405 101 7 6 1 2 \n", + "\n", + "T : 93296 5402 1110 115 37 14 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.8309e-03 sec\n", + "--- Collate = 3.1598e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.373746e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.040758e-01 > 1.000000e-01 [71673]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71673/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=12.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00042111 [ 0.34 %]\n", + "Velocity : 0.00102495 [ 0.84 %]\n", + "Force : 0.0255888 [ 20.86 %]\n", + "Coefs : 0.0125324 [ 10.22 %]\n", + "Output : 0.0022434 [ 1.83 %]\n", + "Levels : 0.000146066 [ 0.12 %]\n", + "Report : 4.96e-07 [ 0.00 %]\n", + "Balance : 2.3e-07 [ 0.00 %]\n", + "Adjust : 0.0806007 [ 65.71 %]\n", + "Total : 0.122661 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6644 400 82 9 3 3 1 \n", + "1 : 6626 430 71 10 3 2 0 \n", + "2 : 6690 380 65 5 1 0 1 \n", + "3 : 6653 397 83 6 1 1 1 \n", + "4 : 6650 379 96 9 3 1 4 \n", + "5 : 6643 403 75 12 4 3 2 \n", + "6 : 6679 371 73 10 4 2 3 \n", + "7 : 6669 385 82 5 1 0 0 \n", + "8 : 6670 385 76 6 1 1 3 \n", + "9 : 6679 381 69 9 0 1 3 \n", + "10 : 6696 347 81 10 5 1 2 \n", + "11 : 6680 369 83 4 3 2 1 \n", + "12 : 6678 381 69 10 4 0 0 \n", + "13 : 6634 403 100 7 5 4 1 \n", + "\n", + "T : 93291 5411 1105 112 38 21 22 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5811e-03 sec\n", + "--- Collate = 3.2470e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.422673e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.040866e-01 > 1.000000e-01 [71676]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71676/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=12.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000437612 [ 0.36 %]\n", + "Velocity : 0.00102944 [ 0.85 %]\n", + "Force : 0.0259544 [ 21.44 %]\n", + "Coefs : 0.0120378 [ 9.94 %]\n", + "Output : 0.00221245 [ 1.83 %]\n", + "Levels : 0.000143382 [ 0.12 %]\n", + "Report : 4.08e-07 [ 0.00 %]\n", + "Balance : 2.22e-07 [ 0.00 %]\n", + "Adjust : 0.0791645 [ 65.39 %]\n", + "Total : 0.121073 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6645 399 80 12 2 2 2 \n", + "1 : 6625 433 70 10 3 1 0 \n", + "2 : 6691 379 65 5 0 1 1 \n", + "3 : 6652 397 85 3 3 0 2 \n", + "4 : 6651 378 94 11 3 2 3 \n", + "5 : 6643 405 72 12 6 2 2 \n", + "6 : 6680 370 76 6 5 3 2 \n", + "7 : 6668 386 82 5 1 0 0 \n", + "8 : 6669 386 74 7 3 0 3 \n", + "9 : 6680 380 70 8 0 2 2 \n", + "10 : 6696 346 86 7 5 0 2 \n", + "11 : 6682 366 85 3 2 1 3 \n", + "12 : 6677 378 74 9 4 0 0 \n", + "13 : 6633 405 100 7 4 4 1 \n", + "\n", + "T : 93292 5408 1113 105 41 18 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6016e-03 sec\n", + "--- Collate = 2.8791e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.136872e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.040972e-01 > 1.000000e-01 [71672]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71672/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=13] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000419081 [ 0.31 %]\n", + "Velocity : 0.000993907 [ 0.74 %]\n", + "Force : 0.026061 [ 19.45 %]\n", + "Coefs : 0.011925 [ 8.90 %]\n", + "Output : 0.0151268 [ 11.29 %]\n", + "Levels : 0.000182328 [ 0.14 %]\n", + "Report : 7.02e-07 [ 0.00 %]\n", + "Balance : 5.04e-07 [ 0.00 %]\n", + "Adjust : 0.0791655 [ 59.09 %]\n", + "Total : 0.13397 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6646 397 82 12 1 3 1 \n", + "1 : 6624 434 70 11 2 0 1 \n", + "2 : 6691 378 66 3 2 2 0 \n", + "3 : 6654 396 83 5 2 0 2 \n", + "4 : 6652 378 93 10 4 3 2 \n", + "5 : 6642 407 70 12 8 1 2 \n", + "6 : 6681 369 76 7 4 1 4 \n", + "7 : 6666 388 82 6 0 0 0 \n", + "8 : 6670 385 74 7 3 3 0 \n", + "9 : 6681 378 71 8 1 1 2 \n", + "10 : 6695 348 85 6 5 2 1 \n", + "11 : 6683 365 82 6 1 2 3 \n", + "12 : 6677 377 74 10 2 1 1 \n", + "13 : 6631 408 99 8 3 2 3 \n", + "\n", + "T : 93293 5408 1107 111 38 21 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6125e-03 sec\n", + "--- Collate = 3.4996e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.203414e-07 < 1.562500e-03 [14]\n", + "--- Max DT=3.041078e-01 > 1.000000e-01 [71681]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71681/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=13.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000271897 [ 0.22 %]\n", + "Velocity : 0.000914234 [ 0.73 %]\n", + "Force : 0.0261533 [ 20.75 %]\n", + "Coefs : 0.0127799 [ 10.14 %]\n", + "Output : 0.00232162 [ 1.84 %]\n", + "Levels : 0.000163535 [ 0.13 %]\n", + "Report : 4.15e-07 [ 0.00 %]\n", + "Balance : 2.4e-07 [ 0.00 %]\n", + "Adjust : 0.083332 [ 66.12 %]\n", + "Total : 0.12603 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6646 396 82 13 2 1 2 \n", + "1 : 6626 431 72 9 1 2 1 \n", + "2 : 6689 381 65 3 2 2 0 \n", + "3 : 6653 395 86 4 2 1 1 \n", + "4 : 6652 378 92 11 5 3 1 \n", + "5 : 6645 404 71 11 6 3 2 \n", + "6 : 6683 367 76 5 6 3 2 \n", + "7 : 6667 385 84 6 0 0 0 \n", + "8 : 6670 385 74 7 5 1 0 \n", + "9 : 6683 376 70 9 1 2 1 \n", + "10 : 6694 350 85 6 4 3 0 \n", + "11 : 6681 367 82 7 0 2 3 \n", + "12 : 6678 376 74 9 3 0 2 \n", + "13 : 6631 410 97 9 3 1 3 \n", + "\n", + "T : 93298 5401 1110 109 40 24 18 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.4335e-03 sec\n", + "--- Collate = 3.1573e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.172022e-04 < 1.562500e-03 [5]\n", + "--- Max DT=3.041184e-01 > 1.000000e-01 [71691]\n", + "----------------------------------------------------------------------\n", + " Component | low: 5/100000\n", + " Component | high: 71691/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=13.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00045678 [ 0.37 %]\n", + "Velocity : 0.00101231 [ 0.83 %]\n", + "Force : 0.0261326 [ 21.40 %]\n", + "Coefs : 0.0122986 [ 10.07 %]\n", + "Output : 0.00225302 [ 1.84 %]\n", + "Levels : 0.000142683 [ 0.12 %]\n", + "Report : 4.05e-07 [ 0.00 %]\n", + "Balance : 2.28e-07 [ 0.00 %]\n", + "Adjust : 0.0797452 [ 65.29 %]\n", + "Total : 0.122136 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6646 396 81 13 3 2 1 \n", + "1 : 6626 432 70 10 0 2 2 \n", + "2 : 6689 379 67 3 3 0 1 \n", + "3 : 6652 396 87 3 1 3 0 \n", + "4 : 6654 377 91 12 4 2 2 \n", + "5 : 6645 405 70 14 4 3 1 \n", + "6 : 6683 367 76 6 5 2 3 \n", + "7 : 6667 386 81 8 0 0 0 \n", + "8 : 6668 388 72 10 1 3 0 \n", + "9 : 6684 376 67 11 3 0 1 \n", + "10 : 6693 351 85 6 5 1 1 \n", + "11 : 6680 368 81 7 2 2 2 \n", + "12 : 6679 375 76 6 4 0 2 \n", + "13 : 6632 408 100 9 1 1 3 \n", + "\n", + "T : 93298 5404 1104 118 36 21 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.4947e-03 sec\n", + "--- Collate = 3.3786e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.622935e-05 < 1.562500e-03 [5]\n", + "--- Max DT=3.041292e-01 > 1.000000e-01 [71676]\n", + "----------------------------------------------------------------------\n", + " Component | low: 5/100000\n", + " Component | high: 71676/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=13.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000405377 [ 0.33 %]\n", + "Velocity : 0.00102029 [ 0.84 %]\n", + "Force : 0.0259319 [ 21.26 %]\n", + "Coefs : 0.0122488 [ 10.04 %]\n", + "Output : 0.00221643 [ 1.82 %]\n", + "Levels : 0.000178086 [ 0.15 %]\n", + "Report : 4.01e-07 [ 0.00 %]\n", + "Balance : 2.43e-07 [ 0.00 %]\n", + "Adjust : 0.0798669 [ 65.49 %]\n", + "Total : 0.121962 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6645 398 78 12 6 2 1 \n", + "1 : 6624 434 68 11 1 2 2 \n", + "2 : 6691 376 67 4 2 1 1 \n", + "3 : 6651 396 88 4 2 0 1 \n", + "4 : 6655 375 92 9 6 2 3 \n", + "5 : 6646 404 69 16 4 1 2 \n", + "6 : 6684 366 77 4 7 3 1 \n", + "7 : 6669 384 81 8 0 0 0 \n", + "8 : 6672 386 71 9 1 0 3 \n", + "9 : 6684 376 67 12 2 1 0 \n", + "10 : 6693 351 86 7 2 1 2 \n", + "11 : 6682 366 81 5 4 3 1 \n", + "12 : 6680 373 78 4 5 1 1 \n", + "13 : 6629 412 97 10 3 3 0 \n", + "\n", + "T : 93305 5397 1100 115 45 20 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.4269e-03 sec\n", + "--- Collate = 3.0508e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.640510e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.041399e-01 > 1.000000e-01 [71681]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71681/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=13.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000550098 [ 0.46 %]\n", + "Velocity : 0.00102111 [ 0.85 %]\n", + "Force : 0.0257404 [ 21.38 %]\n", + "Coefs : 0.0122621 [ 10.18 %]\n", + "Output : 0.00217356 [ 1.81 %]\n", + "Levels : 0.000141924 [ 0.12 %]\n", + "Report : 3.67e-07 [ 0.00 %]\n", + "Balance : 2.13e-07 [ 0.00 %]\n", + "Adjust : 0.0784192 [ 65.13 %]\n", + "Total : 0.120401 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6642 398 83 10 7 1 1 \n", + "1 : 6624 432 71 9 3 0 3 \n", + "2 : 6691 376 67 4 2 0 2 \n", + "3 : 6650 395 89 5 2 0 1 \n", + "4 : 6656 374 91 9 4 3 5 \n", + "5 : 6647 403 68 18 3 1 2 \n", + "6 : 6681 369 77 4 7 2 2 \n", + "7 : 6669 381 85 7 0 0 0 \n", + "8 : 6671 388 70 9 1 0 3 \n", + "9 : 6685 375 66 14 2 0 0 \n", + "10 : 6694 350 84 11 0 0 3 \n", + "11 : 6681 369 78 7 5 1 1 \n", + "12 : 6679 375 77 5 2 4 0 \n", + "13 : 6633 407 98 9 3 3 1 \n", + "\n", + "T : 93303 5392 1104 121 41 15 24 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.4893e-03 sec\n", + "--- Collate = 3.3998e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.441194e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.041510e-01 > 1.000000e-01 [71681]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71681/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=13.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00041567 [ 0.34 %]\n", + "Velocity : 0.00102628 [ 0.84 %]\n", + "Force : 0.0257878 [ 21.19 %]\n", + "Coefs : 0.0133683 [ 10.98 %]\n", + "Output : 0.00217066 [ 1.78 %]\n", + "Levels : 0.000146357 [ 0.12 %]\n", + "Report : 2e-07 [ 0.00 %]\n", + "Balance : 1.94e-07 [ 0.00 %]\n", + "Adjust : 0.0786836 [ 64.65 %]\n", + "Total : 0.121701 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6643 399 81 9 8 1 1 \n", + "1 : 6624 432 74 5 3 2 2 \n", + "2 : 6691 377 66 5 0 1 2 \n", + "3 : 6650 395 88 5 3 0 1 \n", + "4 : 6656 374 91 9 4 3 5 \n", + "5 : 6647 404 68 16 3 2 2 \n", + "6 : 6681 368 78 7 4 3 1 \n", + "7 : 6670 381 84 7 0 0 0 \n", + "8 : 6670 388 70 9 2 0 3 \n", + "9 : 6687 373 68 12 2 0 0 \n", + "10 : 6691 355 82 10 1 1 2 \n", + "11 : 6681 368 80 5 5 3 0 \n", + "12 : 6679 373 80 4 2 2 2 \n", + "13 : 6633 406 100 8 5 1 1 \n", + "\n", + "T : 93303 5393 1110 111 42 19 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.4651e-03 sec\n", + "--- Collate = 3.1870e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.892320e-05 < 1.562500e-03 [6]\n", + "--- Max DT=3.041621e-01 > 1.000000e-01 [71674]\n", + "----------------------------------------------------------------------\n", + " Component | low: 6/100000\n", + " Component | high: 71674/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=13.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000423202 [ 0.33 %]\n", + "Velocity : 0.00106434 [ 0.84 %]\n", + "Force : 0.0268105 [ 21.17 %]\n", + "Coefs : 0.0125745 [ 9.93 %]\n", + "Output : 0.00240047 [ 1.90 %]\n", + "Levels : 0.000147954 [ 0.12 %]\n", + "Report : 4.45e-07 [ 0.00 %]\n", + "Balance : 2.06e-07 [ 0.00 %]\n", + "Adjust : 0.0831387 [ 65.64 %]\n", + "Total : 0.126659 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6640 400 83 9 7 1 2 \n", + "1 : 6625 429 74 7 2 3 2 \n", + "2 : 6690 379 66 3 1 1 2 \n", + "3 : 6647 399 86 7 2 1 0 \n", + "4 : 6656 374 91 9 5 3 4 \n", + "5 : 6650 400 71 14 3 4 0 \n", + "6 : 6684 365 76 10 4 2 1 \n", + "7 : 6669 385 79 9 0 0 0 \n", + "8 : 6671 387 71 7 1 4 1 \n", + "9 : 6686 373 70 12 1 0 0 \n", + "10 : 6690 357 81 10 2 1 1 \n", + "11 : 6682 367 81 6 4 1 1 \n", + "12 : 6679 373 78 6 3 1 2 \n", + "13 : 6634 405 99 10 4 1 1 \n", + "\n", + "T : 93303 5393 1106 119 39 23 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.3911e-03 sec\n", + "--- Collate = 3.1844e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.124193e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.041732e-01 > 1.000000e-01 [71659]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71659/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=13.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000464039 [ 0.37 %]\n", + "Velocity : 0.0010629 [ 0.85 %]\n", + "Force : 0.0261228 [ 20.83 %]\n", + "Coefs : 0.0123504 [ 9.85 %]\n", + "Output : 0.00231351 [ 1.84 %]\n", + "Levels : 0.000176312 [ 0.14 %]\n", + "Report : 3.86e-07 [ 0.00 %]\n", + "Balance : 2.06e-07 [ 0.00 %]\n", + "Adjust : 0.0828198 [ 66.04 %]\n", + "Total : 0.125404 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6639 401 83 11 4 2 2 \n", + "1 : 6625 428 75 9 2 2 1 \n", + "2 : 6690 380 66 2 1 1 2 \n", + "3 : 6650 394 87 8 2 1 0 \n", + "4 : 6654 377 91 9 3 5 3 \n", + "5 : 6650 400 72 13 4 1 2 \n", + "6 : 6682 368 76 12 1 0 3 \n", + "7 : 6670 384 79 8 1 0 0 \n", + "8 : 6671 386 72 7 0 3 3 \n", + "9 : 6685 374 71 9 3 0 0 \n", + "10 : 6691 354 83 10 3 1 0 \n", + "11 : 6682 367 82 5 4 0 2 \n", + "12 : 6679 373 77 7 3 0 3 \n", + "13 : 6636 405 96 11 5 1 0 \n", + "\n", + "T : 93304 5391 1110 121 36 17 21 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.3997e-03 sec\n", + "--- Collate = 3.0164e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.813195e-06 < 1.562500e-03 [14]\n", + "--- Max DT=3.041843e-01 > 1.000000e-01 [71665]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71665/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=13.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000430816 [ 0.36 %]\n", + "Velocity : 0.000995123 [ 0.83 %]\n", + "Force : 0.0254246 [ 21.30 %]\n", + "Coefs : 0.0121794 [ 10.20 %]\n", + "Output : 0.00216194 [ 1.81 %]\n", + "Levels : 0.000140072 [ 0.12 %]\n", + "Report : 3.68e-07 [ 0.00 %]\n", + "Balance : 2.12e-07 [ 0.00 %]\n", + "Adjust : 0.0779656 [ 65.30 %]\n", + "Total : 0.119391 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6640 400 83 12 2 3 2 \n", + "1 : 6625 429 74 8 4 0 2 \n", + "2 : 6690 378 68 2 1 1 2 \n", + "3 : 6650 394 87 7 4 0 0 \n", + "4 : 6655 375 91 10 4 5 2 \n", + "5 : 6650 401 71 12 4 1 3 \n", + "6 : 6683 368 76 11 1 0 3 \n", + "7 : 6667 386 79 8 2 0 0 \n", + "8 : 6671 387 72 6 2 0 4 \n", + "9 : 6685 374 71 9 2 1 0 \n", + "10 : 6690 355 85 10 1 1 0 \n", + "11 : 6684 365 81 6 4 0 2 \n", + "12 : 6679 373 77 7 3 2 1 \n", + "13 : 6637 404 97 10 4 2 0 \n", + "\n", + "T : 93306 5389 1112 118 38 16 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.4313e-03 sec\n", + "--- Collate = 2.9727e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.413250e-04 < 1.562500e-03 [7]\n", + "--- Max DT=3.041950e-01 > 1.000000e-01 [71671]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71671/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=13.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000420724 [ 0.35 %]\n", + "Velocity : 0.00101809 [ 0.85 %]\n", + "Force : 0.0256598 [ 21.41 %]\n", + "Coefs : 0.0121287 [ 10.12 %]\n", + "Output : 0.00212723 [ 1.77 %]\n", + "Levels : 0.000138069 [ 0.12 %]\n", + "Report : 2.21e-07 [ 0.00 %]\n", + "Balance : 2.26e-07 [ 0.00 %]\n", + "Adjust : 0.0782657 [ 65.30 %]\n", + "Total : 0.11985 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6637 403 84 10 4 2 2 \n", + "1 : 6623 429 75 8 4 2 1 \n", + "2 : 6690 379 66 4 0 2 1 \n", + "3 : 6652 392 84 12 1 1 0 \n", + "4 : 6657 374 92 9 6 2 2 \n", + "5 : 6652 398 72 11 3 3 3 \n", + "6 : 6683 367 78 9 1 2 2 \n", + "7 : 6668 385 78 8 3 0 0 \n", + "8 : 6670 387 72 8 1 1 3 \n", + "9 : 6686 372 72 9 1 2 0 \n", + "10 : 6689 357 84 9 2 1 0 \n", + "11 : 6684 364 82 6 2 2 2 \n", + "12 : 6679 373 77 7 3 2 1 \n", + "13 : 6637 405 93 15 3 0 1 \n", + "\n", + "T : 93307 5385 1109 125 34 22 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.4107e-03 sec\n", + "--- Collate = 2.7708e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.988024e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.042055e-01 > 1.000000e-01 [71670]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71670/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=14] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000421558 [ 0.31 %]\n", + "Velocity : 0.001004 [ 0.74 %]\n", + "Force : 0.0256652 [ 18.97 %]\n", + "Coefs : 0.0125002 [ 9.24 %]\n", + "Output : 0.0155967 [ 11.53 %]\n", + "Levels : 0.000144638 [ 0.11 %]\n", + "Report : 7.73e-07 [ 0.00 %]\n", + "Balance : 4.17e-07 [ 0.00 %]\n", + "Adjust : 0.0798371 [ 59.02 %]\n", + "Total : 0.135269 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6637 404 84 10 3 2 2 \n", + "1 : 6622 429 75 10 3 1 2 \n", + "2 : 6690 379 65 5 0 2 1 \n", + "3 : 6653 392 83 12 1 1 0 \n", + "4 : 6658 373 92 8 7 2 2 \n", + "5 : 6650 402 71 9 2 6 2 \n", + "6 : 6682 370 75 9 4 1 1 \n", + "7 : 6670 382 79 6 3 2 0 \n", + "8 : 6670 388 71 9 0 2 2 \n", + "9 : 6685 372 74 8 0 2 1 \n", + "10 : 6689 357 84 10 0 2 0 \n", + "11 : 6686 362 82 5 2 3 2 \n", + "12 : 6683 369 76 7 5 2 0 \n", + "13 : 6635 406 97 11 4 0 1 \n", + "\n", + "T : 93310 5385 1108 119 34 28 16 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.4272e-03 sec\n", + "--- Collate = 3.2497e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.042401e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.042155e-01 > 1.000000e-01 [71668]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71668/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=14.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000335655 [ 0.28 %]\n", + "Velocity : 0.000868151 [ 0.72 %]\n", + "Force : 0.0256402 [ 21.20 %]\n", + "Coefs : 0.012121 [ 10.02 %]\n", + "Output : 0.00220565 [ 1.82 %]\n", + "Levels : 0.000173063 [ 0.14 %]\n", + "Report : 4.17e-07 [ 0.00 %]\n", + "Balance : 2.58e-07 [ 0.00 %]\n", + "Adjust : 0.0795305 [ 65.75 %]\n", + "Total : 0.120966 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6637 404 85 10 4 0 2 \n", + "1 : 6622 430 75 10 2 0 3 \n", + "2 : 6691 378 63 7 1 1 1 \n", + "3 : 6654 392 84 10 1 0 1 \n", + "4 : 6660 370 93 10 4 2 3 \n", + "5 : 6655 396 72 9 3 4 3 \n", + "6 : 6679 374 75 8 5 0 1 \n", + "7 : 6669 384 79 5 2 2 1 \n", + "8 : 6670 387 70 11 0 4 0 \n", + "9 : 6684 372 75 7 1 0 3 \n", + "10 : 6690 356 85 9 0 1 1 \n", + "11 : 6685 363 80 7 2 2 3 \n", + "12 : 6682 369 76 9 4 1 1 \n", + "13 : 6634 408 97 10 3 1 1 \n", + "\n", + "T : 93312 5383 1109 122 32 18 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.4564e-03 sec\n", + "--- Collate = 3.1468e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.529116e-06 < 1.562500e-03 [14]\n", + "--- Max DT=3.042254e-01 > 1.000000e-01 [71655]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71655/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=14.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000409327 [ 0.34 %]\n", + "Velocity : 0.0010291 [ 0.86 %]\n", + "Force : 0.025554 [ 21.26 %]\n", + "Coefs : 0.012102 [ 10.07 %]\n", + "Output : 0.00225338 [ 1.87 %]\n", + "Levels : 0.00016326 [ 0.14 %]\n", + "Report : 3.96e-07 [ 0.00 %]\n", + "Balance : 2.39e-07 [ 0.00 %]\n", + "Adjust : 0.0786013 [ 65.39 %]\n", + "Total : 0.120205 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6637 403 85 9 5 2 1 \n", + "1 : 6623 431 76 7 2 1 2 \n", + "2 : 6688 380 64 6 3 0 1 \n", + "3 : 6657 390 83 11 0 0 1 \n", + "4 : 6662 368 92 14 2 2 2 \n", + "5 : 6658 393 71 10 3 3 4 \n", + "6 : 6680 374 74 7 3 3 1 \n", + "7 : 6668 385 79 5 1 2 2 \n", + "8 : 6668 390 70 8 5 1 0 \n", + "9 : 6680 375 76 6 2 0 3 \n", + "10 : 6692 353 88 5 3 0 1 \n", + "11 : 6689 359 81 7 1 2 3 \n", + "12 : 6684 367 77 9 3 1 1 \n", + "13 : 6634 409 96 9 4 1 1 \n", + "\n", + "T : 93320 5377 1112 113 37 18 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.4628e-03 sec\n", + "--- Collate = 3.0677e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.359653e-04 < 1.562500e-03 [10]\n", + "--- Max DT=3.042350e-01 > 1.000000e-01 [71658]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71658/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=14.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000436091 [ 0.36 %]\n", + "Velocity : 0.0010223 [ 0.85 %]\n", + "Force : 0.0256684 [ 21.31 %]\n", + "Coefs : 0.0121023 [ 10.05 %]\n", + "Output : 0.00219903 [ 1.83 %]\n", + "Levels : 0.000143444 [ 0.12 %]\n", + "Report : 3.95e-07 [ 0.00 %]\n", + "Balance : 2.12e-07 [ 0.00 %]\n", + "Adjust : 0.0787985 [ 65.42 %]\n", + "Total : 0.120459 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6635 405 86 9 4 1 2 \n", + "1 : 6622 434 74 8 1 1 2 \n", + "2 : 6687 381 64 6 2 2 0 \n", + "3 : 6654 392 85 9 1 1 0 \n", + "4 : 6660 369 94 15 0 0 4 \n", + "5 : 6659 391 72 8 6 3 3 \n", + "6 : 6681 375 73 6 2 2 3 \n", + "7 : 6669 384 78 6 0 1 4 \n", + "8 : 6666 393 69 7 7 0 0 \n", + "9 : 6677 379 74 7 1 2 2 \n", + "10 : 6693 354 84 7 2 1 1 \n", + "11 : 6689 358 81 7 3 3 1 \n", + "12 : 6685 368 73 10 4 0 2 \n", + "13 : 6635 407 96 10 2 3 1 \n", + "\n", + "T : 93312 5390 1103 115 35 20 25 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.4642e-03 sec\n", + "--- Collate = 3.1612e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.591622e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.042445e-01 > 1.000000e-01 [71637]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71637/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=14.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00041871 [ 0.34 %]\n", + "Velocity : 0.000990059 [ 0.81 %]\n", + "Force : 0.0257103 [ 21.11 %]\n", + "Coefs : 0.0135003 [ 11.09 %]\n", + "Output : 0.00218214 [ 1.79 %]\n", + "Levels : 0.000162201 [ 0.13 %]\n", + "Report : 2.81e-07 [ 0.00 %]\n", + "Balance : 2.57e-07 [ 0.00 %]\n", + "Adjust : 0.0787185 [ 64.64 %]\n", + "Total : 0.121773 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6633 406 88 9 2 2 2 \n", + "1 : 6623 432 73 9 1 2 2 \n", + "2 : 6689 380 63 4 3 2 1 \n", + "3 : 6655 391 83 10 3 0 0 \n", + "4 : 6660 368 94 11 5 1 3 \n", + "5 : 6656 393 74 8 5 3 3 \n", + "6 : 6680 375 74 5 4 1 3 \n", + "7 : 6670 383 78 4 2 1 4 \n", + "8 : 6665 396 67 7 6 1 0 \n", + "9 : 6676 380 74 7 1 4 0 \n", + "10 : 6694 352 84 6 3 2 1 \n", + "11 : 6692 355 81 7 4 2 1 \n", + "12 : 6686 367 73 9 3 3 1 \n", + "13 : 6633 410 96 8 4 1 2 \n", + "\n", + "T : 93312 5388 1102 104 46 25 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.4387e-03 sec\n", + "--- Collate = 2.9770e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.408153e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.042539e-01 > 1.000000e-01 [71641]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71641/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=14.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000419154 [ 0.35 %]\n", + "Velocity : 0.000978222 [ 0.82 %]\n", + "Force : 0.0254831 [ 21.32 %]\n", + "Coefs : 0.0120697 [ 10.10 %]\n", + "Output : 0.00221499 [ 1.85 %]\n", + "Levels : 0.000140093 [ 0.12 %]\n", + "Report : 2.6e-07 [ 0.00 %]\n", + "Balance : 2.57e-07 [ 0.00 %]\n", + "Adjust : 0.0781303 [ 65.37 %]\n", + "Total : 0.119528 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6632 407 88 11 1 0 3 \n", + "1 : 6621 435 72 8 3 2 1 \n", + "2 : 6688 381 63 3 5 0 2 \n", + "3 : 6656 390 84 8 3 1 0 \n", + "4 : 6659 368 97 9 2 6 1 \n", + "5 : 6656 393 73 9 5 3 3 \n", + "6 : 6681 375 73 5 4 1 3 \n", + "7 : 6672 381 77 5 2 2 3 \n", + "8 : 6663 396 69 9 2 3 0 \n", + "9 : 6677 378 76 7 2 1 1 \n", + "10 : 6692 354 84 6 1 4 1 \n", + "11 : 6691 357 80 8 4 1 1 \n", + "12 : 6686 368 74 7 2 3 2 \n", + "13 : 6631 412 96 7 5 1 2 \n", + "\n", + "T : 93305 5395 1106 102 41 28 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.4227e-03 sec\n", + "--- Collate = 3.1047e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.505549e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.042632e-01 > 1.000000e-01 [71630]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71630/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=14.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000420093 [ 0.34 %]\n", + "Velocity : 0.00100563 [ 0.83 %]\n", + "Force : 0.0264029 [ 21.66 %]\n", + "Coefs : 0.012114 [ 9.94 %]\n", + "Output : 0.00224084 [ 1.84 %]\n", + "Levels : 0.000144068 [ 0.12 %]\n", + "Report : 2.62e-07 [ 0.00 %]\n", + "Balance : 2.57e-07 [ 0.00 %]\n", + "Adjust : 0.0794446 [ 65.19 %]\n", + "Total : 0.121872 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6632 405 88 13 1 1 2 \n", + "1 : 6620 435 74 6 4 2 1 \n", + "2 : 6689 379 64 3 4 1 2 \n", + "3 : 6652 395 83 8 2 2 0 \n", + "4 : 6658 369 97 9 3 4 2 \n", + "5 : 6656 394 73 10 5 2 2 \n", + "6 : 6681 374 72 8 3 3 1 \n", + "7 : 6673 380 77 6 3 2 1 \n", + "8 : 6667 390 71 9 2 1 2 \n", + "9 : 6677 378 77 7 1 0 2 \n", + "10 : 6693 351 86 5 3 3 1 \n", + "11 : 6691 357 80 7 5 1 1 \n", + "12 : 6687 367 74 9 0 3 2 \n", + "13 : 6631 414 96 6 3 2 2 \n", + "\n", + "T : 93307 5388 1112 106 39 27 21 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.4269e-03 sec\n", + "--- Collate = 3.0042e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.619185e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.042726e-01 > 1.000000e-01 [71637]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71637/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=14.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000415049 [ 0.34 %]\n", + "Velocity : 0.00102214 [ 0.85 %]\n", + "Force : 0.0255309 [ 21.20 %]\n", + "Coefs : 0.0119691 [ 9.94 %]\n", + "Output : 0.00216578 [ 1.80 %]\n", + "Levels : 0.000139565 [ 0.12 %]\n", + "Report : 3.75e-07 [ 0.00 %]\n", + "Balance : 2.53e-07 [ 0.00 %]\n", + "Adjust : 0.0790799 [ 65.67 %]\n", + "Total : 0.120412 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6632 406 86 13 1 3 1 \n", + "1 : 6620 435 74 6 4 1 2 \n", + "2 : 6691 374 66 6 1 3 1 \n", + "3 : 6649 398 83 7 2 1 2 \n", + "4 : 6657 373 95 7 4 3 3 \n", + "5 : 6657 391 73 15 2 2 2 \n", + "6 : 6681 373 72 10 2 3 1 \n", + "7 : 6674 377 79 6 4 1 1 \n", + "8 : 6667 386 75 7 4 1 2 \n", + "9 : 6679 374 76 11 0 0 2 \n", + "10 : 6693 350 87 4 4 1 3 \n", + "11 : 6690 357 80 8 5 1 1 \n", + "12 : 6687 368 72 7 5 0 3 \n", + "13 : 6632 412 97 6 4 1 2 \n", + "\n", + "T : 93309 5374 1115 113 42 21 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.4874e-03 sec\n", + "--- Collate = 3.0825e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.849943e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.042822e-01 > 1.000000e-01 [71641]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71641/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=14.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000415709 [ 0.34 %]\n", + "Velocity : 0.00104456 [ 0.86 %]\n", + "Force : 0.0259685 [ 21.43 %]\n", + "Coefs : 0.012039 [ 9.93 %]\n", + "Output : 0.00223352 [ 1.84 %]\n", + "Levels : 0.000170674 [ 0.14 %]\n", + "Report : 2.82e-07 [ 0.00 %]\n", + "Balance : 2.36e-07 [ 0.00 %]\n", + "Adjust : 0.0792362 [ 65.38 %]\n", + "Total : 0.121197 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6632 405 88 12 3 1 1 \n", + "1 : 6621 433 74 9 2 1 2 \n", + "2 : 6690 375 65 7 0 4 1 \n", + "3 : 6651 395 85 6 2 0 3 \n", + "4 : 6656 375 95 6 5 2 3 \n", + "5 : 6657 389 78 12 4 1 1 \n", + "6 : 6682 371 73 10 3 2 1 \n", + "7 : 6675 373 84 5 4 0 1 \n", + "8 : 6665 387 77 6 3 1 3 \n", + "9 : 6675 378 75 11 1 1 1 \n", + "10 : 6696 348 81 9 4 1 3 \n", + "11 : 6690 359 80 7 2 3 1 \n", + "12 : 6691 363 75 6 4 1 2 \n", + "13 : 6636 410 97 4 5 1 1 \n", + "\n", + "T : 93317 5361 1127 110 42 19 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.4073e-03 sec\n", + "--- Collate = 3.1408e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.232644e-04 < 1.562500e-03 [10]\n", + "--- Max DT=3.042917e-01 > 1.000000e-01 [71631]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71631/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=14.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000453341 [ 0.37 %]\n", + "Velocity : 0.00103824 [ 0.85 %]\n", + "Force : 0.0266622 [ 21.72 %]\n", + "Coefs : 0.0124412 [ 10.13 %]\n", + "Output : 0.0022185 [ 1.81 %]\n", + "Levels : 0.000141357 [ 0.12 %]\n", + "Report : 3.77e-07 [ 0.00 %]\n", + "Balance : 2.34e-07 [ 0.00 %]\n", + "Adjust : 0.0797193 [ 64.94 %]\n", + "Total : 0.122766 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6633 403 88 11 5 1 1 \n", + "1 : 6622 431 74 11 1 1 2 \n", + "2 : 6691 374 66 6 2 2 1 \n", + "3 : 6653 393 86 4 3 0 3 \n", + "4 : 6657 374 95 8 3 2 3 \n", + "5 : 6659 387 76 14 5 0 1 \n", + "6 : 6682 370 74 10 4 0 2 \n", + "7 : 6673 375 83 8 2 0 1 \n", + "8 : 6663 389 79 2 4 4 1 \n", + "9 : 6673 378 78 9 2 1 1 \n", + "10 : 6695 351 79 10 2 2 3 \n", + "11 : 6690 358 80 7 3 2 2 \n", + "12 : 6690 364 75 6 2 4 1 \n", + "13 : 6635 410 98 7 3 0 1 \n", + "\n", + "T : 93316 5357 1131 113 41 19 23 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.4357e-03 sec\n", + "--- Collate = 2.8705e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.444216e-04 < 1.562500e-03 [10]\n", + "--- Max DT=3.043013e-01 > 1.000000e-01 [71640]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71640/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=15] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000416837 [ 0.31 %]\n", + "Velocity : 0.0010151 [ 0.75 %]\n", + "Force : 0.0267117 [ 19.79 %]\n", + "Coefs : 0.0122566 [ 9.08 %]\n", + "Output : 0.0144346 [ 10.70 %]\n", + "Levels : 0.000145484 [ 0.11 %]\n", + "Report : 4.94e-07 [ 0.00 %]\n", + "Balance : 3.87e-07 [ 0.00 %]\n", + "Adjust : 0.0798797 [ 59.19 %]\n", + "Total : 0.134953 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6632 404 91 10 2 2 1 \n", + "1 : 6619 435 73 11 2 1 1 \n", + "2 : 6693 371 69 3 3 1 2 \n", + "3 : 6654 394 83 5 2 4 0 \n", + "4 : 6659 373 95 6 4 3 2 \n", + "5 : 6660 388 72 17 3 2 0 \n", + "6 : 6684 369 73 10 3 1 2 \n", + "7 : 6674 374 84 8 1 1 0 \n", + "8 : 6664 388 79 3 5 1 2 \n", + "9 : 6675 376 78 9 3 0 1 \n", + "10 : 6694 352 78 11 3 3 1 \n", + "11 : 6690 358 80 8 3 0 3 \n", + "12 : 6693 360 76 4 4 4 1 \n", + "13 : 6633 413 95 7 4 2 0 \n", + "\n", + "T : 93324 5355 1126 112 42 25 16 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5699e-03 sec\n", + "--- Collate = 3.5745e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.220567e-04 < 1.562500e-03 [8]\n", + "--- Max DT=3.043109e-01 > 1.000000e-01 [71645]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71645/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=15.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000373602 [ 0.31 %]\n", + "Velocity : 0.00107726 [ 0.88 %]\n", + "Force : 0.0263171 [ 21.54 %]\n", + "Coefs : 0.0120428 [ 9.86 %]\n", + "Output : 0.00229221 [ 1.88 %]\n", + "Levels : 0.000154648 [ 0.13 %]\n", + "Report : 2.76e-07 [ 0.00 %]\n", + "Balance : 2.24e-07 [ 0.00 %]\n", + "Adjust : 0.0798062 [ 65.33 %]\n", + "Total : 0.122157 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6632 407 89 8 3 2 1 \n", + "1 : 6618 436 73 11 1 2 1 \n", + "2 : 6691 373 69 4 3 1 1 \n", + "3 : 6654 393 82 8 3 2 0 \n", + "4 : 6659 373 94 8 5 1 2 \n", + "5 : 6659 388 75 15 4 1 0 \n", + "6 : 6686 366 75 11 1 1 2 \n", + "7 : 6676 371 83 8 2 2 0 \n", + "8 : 6667 384 80 3 3 3 2 \n", + "9 : 6676 379 74 10 1 1 1 \n", + "10 : 6694 352 79 12 2 2 1 \n", + "11 : 6691 356 81 10 1 0 3 \n", + "12 : 6693 361 76 2 6 2 2 \n", + "13 : 6632 411 98 7 2 3 1 \n", + "\n", + "T : 93328 5350 1128 117 37 23 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5571e-03 sec\n", + "--- Collate = 3.2927e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.464340e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.043200e-01 > 1.000000e-01 [71642]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71642/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=15.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00040473 [ 0.33 %]\n", + "Velocity : 0.00100621 [ 0.83 %]\n", + "Force : 0.0256337 [ 21.07 %]\n", + "Coefs : 0.0121974 [ 10.02 %]\n", + "Output : 0.00227169 [ 1.87 %]\n", + "Levels : 0.000170805 [ 0.14 %]\n", + "Report : 3.5e-07 [ 0.00 %]\n", + "Balance : 2.11e-07 [ 0.00 %]\n", + "Adjust : 0.0798984 [ 65.66 %]\n", + "Total : 0.121676 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6630 409 87 10 4 0 2 \n", + "1 : 6622 430 76 9 3 2 0 \n", + "2 : 6693 371 69 4 3 1 1 \n", + "3 : 6651 395 84 8 3 0 1 \n", + "4 : 6662 370 95 7 5 3 0 \n", + "5 : 6658 388 76 14 5 0 1 \n", + "6 : 6684 367 77 9 4 0 1 \n", + "7 : 6676 371 83 7 4 0 1 \n", + "8 : 6668 380 83 5 1 3 2 \n", + "9 : 6676 380 73 10 1 1 1 \n", + "10 : 6693 353 79 10 4 2 1 \n", + "11 : 6692 355 83 6 2 2 2 \n", + "12 : 6691 364 75 5 1 2 4 \n", + "13 : 6631 415 93 9 2 2 2 \n", + "\n", + "T : 93327 5348 1133 113 42 18 19 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5554e-03 sec\n", + "--- Collate = 3.2703e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.458881e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.043290e-01 > 1.000000e-01 [71639]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71639/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=15.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00041091 [ 0.34 %]\n", + "Velocity : 0.0010058 [ 0.83 %]\n", + "Force : 0.0254993 [ 21.16 %]\n", + "Coefs : 0.012104 [ 10.05 %]\n", + "Output : 0.00218756 [ 1.82 %]\n", + "Levels : 0.000147566 [ 0.12 %]\n", + "Report : 4.29e-07 [ 0.00 %]\n", + "Balance : 1.85e-07 [ 0.00 %]\n", + "Adjust : 0.079034 [ 65.59 %]\n", + "Total : 0.12049 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6630 409 89 9 3 0 2 \n", + "1 : 6620 433 75 10 2 1 1 \n", + "2 : 6693 371 69 4 2 3 0 \n", + "3 : 6651 396 83 8 3 0 1 \n", + "4 : 6659 371 97 11 1 2 1 \n", + "5 : 6657 390 75 15 3 1 1 \n", + "6 : 6684 367 78 9 3 0 1 \n", + "7 : 6678 371 81 4 7 0 1 \n", + "8 : 6666 382 83 5 2 1 3 \n", + "9 : 6678 378 72 6 5 2 1 \n", + "10 : 6692 356 80 8 3 1 2 \n", + "11 : 6692 353 84 7 1 5 0 \n", + "12 : 6691 365 75 4 2 0 5 \n", + "13 : 6628 417 96 7 2 0 4 \n", + "\n", + "T : 93319 5359 1137 107 39 16 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6196e-03 sec\n", + "--- Collate = 3.0961e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.342845e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.043378e-01 > 1.000000e-01 [71636]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71636/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=15.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000424336 [ 0.35 %]\n", + "Velocity : 0.000994794 [ 0.82 %]\n", + "Force : 0.0253088 [ 20.76 %]\n", + "Coefs : 0.0121123 [ 9.94 %]\n", + "Output : 0.00221061 [ 1.81 %]\n", + "Levels : 0.000147627 [ 0.12 %]\n", + "Report : 3.78e-07 [ 0.00 %]\n", + "Balance : 1.88e-07 [ 0.00 %]\n", + "Adjust : 0.0806211 [ 66.13 %]\n", + "Total : 0.121913 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6630 408 91 9 2 1 1 \n", + "1 : 6620 432 78 7 3 0 2 \n", + "2 : 6691 374 67 6 1 2 1 \n", + "3 : 6650 397 85 5 4 0 1 \n", + "4 : 6658 371 99 11 0 1 2 \n", + "5 : 6656 390 78 13 2 1 2 \n", + "6 : 6685 368 76 9 2 2 0 \n", + "7 : 6676 373 80 6 4 2 1 \n", + "8 : 6666 382 83 7 1 2 1 \n", + "9 : 6679 377 72 6 5 1 2 \n", + "10 : 6694 355 79 7 4 1 2 \n", + "11 : 6692 353 84 7 3 2 1 \n", + "12 : 6691 367 73 4 2 2 3 \n", + "13 : 6633 412 96 7 2 0 4 \n", + "\n", + "T : 93321 5359 1141 104 35 17 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6298e-03 sec\n", + "--- Collate = 2.8478e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.887821e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.043467e-01 > 1.000000e-01 [71641]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71641/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=15.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000431848 [ 0.35 %]\n", + "Velocity : 0.00102088 [ 0.83 %]\n", + "Force : 0.025691 [ 20.83 %]\n", + "Coefs : 0.0132416 [ 10.74 %]\n", + "Output : 0.00227443 [ 1.84 %]\n", + "Levels : 0.000172017 [ 0.14 %]\n", + "Report : 3.95e-07 [ 0.00 %]\n", + "Balance : 1.94e-07 [ 0.00 %]\n", + "Adjust : 0.080387 [ 65.19 %]\n", + "Total : 0.123313 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6630 407 90 12 0 3 0 \n", + "1 : 6622 431 78 7 1 1 2 \n", + "2 : 6689 378 66 5 2 1 1 \n", + "3 : 6653 392 85 8 2 1 1 \n", + "4 : 6655 374 98 12 1 0 2 \n", + "5 : 6659 386 79 11 4 2 1 \n", + "6 : 6685 370 76 6 1 3 1 \n", + "7 : 6677 372 80 8 1 3 1 \n", + "8 : 6667 379 82 8 2 2 2 \n", + "9 : 6680 375 73 6 3 3 2 \n", + "10 : 6693 356 79 8 4 1 1 \n", + "11 : 6692 353 85 6 4 0 2 \n", + "12 : 6690 367 73 4 4 3 1 \n", + "13 : 6633 412 96 8 1 2 2 \n", + "\n", + "T : 93325 5352 1140 109 30 25 19 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5517e-03 sec\n", + "--- Collate = 3.1420e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.887970e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.043557e-01 > 1.000000e-01 [71649]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71649/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=15.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000433125 [ 0.36 %]\n", + "Velocity : 0.000992289 [ 0.82 %]\n", + "Force : 0.0261526 [ 21.59 %]\n", + "Coefs : 0.0121906 [ 10.06 %]\n", + "Output : 0.00220333 [ 1.82 %]\n", + "Levels : 0.00014564 [ 0.12 %]\n", + "Report : 3.96e-07 [ 0.00 %]\n", + "Balance : 1.83e-07 [ 0.00 %]\n", + "Adjust : 0.0789149 [ 65.15 %]\n", + "Total : 0.121127 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6629 404 91 12 5 1 0 \n", + "1 : 6624 430 77 6 2 1 2 \n", + "2 : 6687 381 65 5 3 0 1 \n", + "3 : 6654 391 85 8 3 0 1 \n", + "4 : 6654 376 98 10 0 1 3 \n", + "5 : 6658 385 83 9 4 1 2 \n", + "6 : 6683 370 78 6 2 1 2 \n", + "7 : 6680 369 79 8 2 2 2 \n", + "8 : 6666 381 81 7 4 1 2 \n", + "9 : 6682 373 72 6 3 3 3 \n", + "10 : 6693 356 78 10 0 4 1 \n", + "11 : 6692 353 85 9 1 0 2 \n", + "12 : 6691 367 72 5 4 2 1 \n", + "13 : 6634 411 94 10 2 3 0 \n", + "\n", + "T : 93327 5347 1138 111 35 20 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5752e-03 sec\n", + "--- Collate = 2.9754e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.072482e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.043648e-01 > 1.000000e-01 [71647]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71647/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=15.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000425011 [ 0.35 %]\n", + "Velocity : 0.00095895 [ 0.80 %]\n", + "Force : 0.0255159 [ 21.30 %]\n", + "Coefs : 0.0117895 [ 9.84 %]\n", + "Output : 0.0021272 [ 1.78 %]\n", + "Levels : 0.000142867 [ 0.12 %]\n", + "Report : 3.85e-07 [ 0.00 %]\n", + "Balance : 1.81e-07 [ 0.00 %]\n", + "Adjust : 0.0787333 [ 65.73 %]\n", + "Total : 0.119785 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6630 403 92 10 7 0 0 \n", + "1 : 6624 430 76 7 2 2 1 \n", + "2 : 6689 379 65 4 4 1 0 \n", + "3 : 6653 392 85 8 3 0 1 \n", + "4 : 6650 379 102 7 0 0 4 \n", + "5 : 6660 384 85 5 5 1 2 \n", + "6 : 6683 372 76 6 2 0 3 \n", + "7 : 6682 369 77 6 5 0 3 \n", + "8 : 6666 382 80 7 5 1 1 \n", + "9 : 6682 373 74 5 1 4 3 \n", + "10 : 6693 356 79 9 0 3 2 \n", + "11 : 6692 353 85 9 0 2 1 \n", + "12 : 6692 366 71 8 2 2 1 \n", + "13 : 6632 411 97 10 3 1 0 \n", + "\n", + "T : 93328 5349 1144 101 39 17 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6640e-03 sec\n", + "--- Collate = 3.4582e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.513397e-06 < 1.562500e-03 [7]\n", + "--- Max DT=3.043740e-01 > 1.000000e-01 [71641]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71641/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=15.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000412387 [ 0.34 %]\n", + "Velocity : 0.000974439 [ 0.80 %]\n", + "Force : 0.0262643 [ 21.65 %]\n", + "Coefs : 0.0117642 [ 9.70 %]\n", + "Output : 0.00215543 [ 1.78 %]\n", + "Levels : 0.000146858 [ 0.12 %]\n", + "Report : 4.19e-07 [ 0.00 %]\n", + "Balance : 2.05e-07 [ 0.00 %]\n", + "Adjust : 0.079506 [ 65.54 %]\n", + "Total : 0.121315 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6632 399 96 8 6 1 0 \n", + "1 : 6625 429 75 6 2 3 2 \n", + "2 : 6690 379 63 6 3 1 0 \n", + "3 : 6653 391 86 7 3 2 0 \n", + "4 : 6651 379 98 7 4 2 1 \n", + "5 : 6661 383 84 7 3 2 2 \n", + "6 : 6683 372 76 6 1 2 2 \n", + "7 : 6680 373 75 8 3 1 2 \n", + "8 : 6667 383 77 8 5 1 1 \n", + "9 : 6680 372 77 5 1 3 4 \n", + "10 : 6691 359 79 7 2 2 2 \n", + "11 : 6692 353 86 7 2 2 0 \n", + "12 : 6693 365 71 9 2 0 2 \n", + "13 : 6634 409 98 8 5 0 0 \n", + "\n", + "T : 93332 5346 1141 99 42 22 18 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5768e-03 sec\n", + "--- Collate = 3.0709e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.370613e-04 < 1.562500e-03 [10]\n", + "--- Max DT=3.043832e-01 > 1.000000e-01 [71640]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71640/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=15.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000449152 [ 0.37 %]\n", + "Velocity : 0.000998762 [ 0.82 %]\n", + "Force : 0.0265913 [ 21.94 %]\n", + "Coefs : 0.0124938 [ 10.31 %]\n", + "Output : 0.00214719 [ 1.77 %]\n", + "Levels : 0.000165297 [ 0.14 %]\n", + "Report : 3.87e-07 [ 0.00 %]\n", + "Balance : 2.07e-07 [ 0.00 %]\n", + "Adjust : 0.0782295 [ 64.56 %]\n", + "Total : 0.121179 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6636 396 94 8 6 1 1 \n", + "1 : 6625 428 74 6 5 2 2 \n", + "2 : 6689 381 63 6 1 1 1 \n", + "3 : 6654 390 86 7 3 1 1 \n", + "4 : 6650 380 98 7 3 2 2 \n", + "5 : 6662 382 85 6 4 2 1 \n", + "6 : 6682 373 76 6 1 2 2 \n", + "7 : 6682 372 74 8 3 2 1 \n", + "8 : 6670 382 75 11 2 2 0 \n", + "9 : 6680 373 75 6 2 3 3 \n", + "10 : 6693 355 81 7 2 3 1 \n", + "11 : 6691 355 86 6 3 1 0 \n", + "12 : 6696 361 73 8 2 1 1 \n", + "13 : 6633 410 96 11 4 0 0 \n", + "\n", + "T : 93343 5338 1136 103 41 23 16 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5115e-03 sec\n", + "--- Collate = 2.8974e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.640138e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.043922e-01 > 1.000000e-01 [71639]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71639/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=16] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000413244 [ 0.31 %]\n", + "Velocity : 0.000999631 [ 0.75 %]\n", + "Force : 0.0254888 [ 19.21 %]\n", + "Coefs : 0.0120117 [ 9.05 %]\n", + "Output : 0.015091 [ 11.37 %]\n", + "Levels : 0.000149052 [ 0.11 %]\n", + "Report : 7.75e-07 [ 0.00 %]\n", + "Balance : 7.12e-07 [ 0.00 %]\n", + "Adjust : 0.0784699 [ 59.13 %]\n", + "Total : 0.132717 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6636 396 94 8 4 3 1 \n", + "1 : 6626 429 72 6 5 2 2 \n", + "2 : 6691 378 63 7 1 1 1 \n", + "3 : 6652 391 88 7 2 1 1 \n", + "4 : 6653 380 93 9 3 2 2 \n", + "5 : 6663 380 83 10 3 2 1 \n", + "6 : 6684 369 77 7 4 0 1 \n", + "7 : 6684 374 72 5 5 2 0 \n", + "8 : 6668 384 75 11 3 1 0 \n", + "9 : 6681 372 75 7 2 2 3 \n", + "10 : 6694 353 81 9 1 4 0 \n", + "11 : 6690 355 87 6 4 0 0 \n", + "12 : 6695 362 71 11 0 2 1 \n", + "13 : 6632 411 97 10 2 2 0 \n", + "\n", + "T : 93349 5334 1128 113 39 24 13 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7652e-03 sec\n", + "--- Collate = 3.0420e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.388231e-04 < 1.562500e-03 [4]\n", + "--- Max DT=3.044010e-01 > 1.000000e-01 [71641]\n", + "----------------------------------------------------------------------\n", + " Component | low: 4/100000\n", + " Component | high: 71641/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=16.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000345178 [ 0.28 %]\n", + "Velocity : 0.00115249 [ 0.95 %]\n", + "Force : 0.0260936 [ 21.41 %]\n", + "Coefs : 0.0122766 [ 10.07 %]\n", + "Output : 0.00228011 [ 1.87 %]\n", + "Levels : 0.00015179 [ 0.12 %]\n", + "Report : 4.29e-07 [ 0.00 %]\n", + "Balance : 2.13e-07 [ 0.00 %]\n", + "Adjust : 0.079461 [ 65.21 %]\n", + "Total : 0.121854 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6637 395 93 9 4 3 1 \n", + "1 : 6629 426 72 8 2 4 1 \n", + "2 : 6689 379 63 6 3 0 2 \n", + "3 : 6647 395 89 7 2 1 1 \n", + "4 : 6652 382 91 10 3 2 2 \n", + "5 : 6664 380 85 7 3 2 1 \n", + "6 : 6683 372 72 11 3 0 1 \n", + "7 : 6683 376 73 4 4 1 1 \n", + "8 : 6667 383 75 10 6 0 1 \n", + "9 : 6682 369 78 6 4 1 2 \n", + "10 : 6695 351 81 9 4 2 0 \n", + "11 : 6690 355 88 6 2 1 0 \n", + "12 : 6697 359 71 10 3 1 1 \n", + "13 : 6633 409 97 11 2 0 2 \n", + "\n", + "T : 93348 5331 1128 114 45 18 16 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6099e-03 sec\n", + "--- Collate = 3.0729e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.884695e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.044095e-01 > 1.000000e-01 [71637]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71637/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=16.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0004178 [ 0.35 %]\n", + "Velocity : 0.000999731 [ 0.84 %]\n", + "Force : 0.0253385 [ 21.22 %]\n", + "Coefs : 0.0120721 [ 10.11 %]\n", + "Output : 0.00222666 [ 1.87 %]\n", + "Levels : 0.000181437 [ 0.15 %]\n", + "Report : 3.18e-07 [ 0.00 %]\n", + "Balance : 2.11e-07 [ 0.00 %]\n", + "Adjust : 0.0780681 [ 65.39 %]\n", + "Total : 0.119392 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6637 395 92 11 3 1 3 \n", + "1 : 6630 426 70 10 1 3 2 \n", + "2 : 6691 378 63 5 3 1 1 \n", + "3 : 6649 393 89 7 2 2 0 \n", + "4 : 6652 382 91 9 4 2 2 \n", + "5 : 6661 382 85 10 1 1 2 \n", + "6 : 6684 371 72 11 2 2 0 \n", + "7 : 6684 375 73 5 2 2 1 \n", + "8 : 6665 383 77 11 5 0 1 \n", + "9 : 6682 369 78 6 5 1 1 \n", + "10 : 6695 352 80 7 6 1 1 \n", + "11 : 6688 358 85 9 1 1 0 \n", + "12 : 6698 357 73 9 2 2 1 \n", + "13 : 6629 414 98 9 2 0 2 \n", + "\n", + "T : 93345 5335 1126 119 39 19 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7057e-03 sec\n", + "--- Collate = 2.9942e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.886077e-06 < 1.562500e-03 [10]\n", + "--- Max DT=3.044178e-01 > 1.000000e-01 [71636]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71636/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=16.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000425073 [ 0.35 %]\n", + "Velocity : 0.0009878 [ 0.82 %]\n", + "Force : 0.0254695 [ 21.06 %]\n", + "Coefs : 0.0119097 [ 9.85 %]\n", + "Output : 0.00220642 [ 1.82 %]\n", + "Levels : 0.00014456 [ 0.12 %]\n", + "Report : 3.13e-07 [ 0.00 %]\n", + "Balance : 2.04e-07 [ 0.00 %]\n", + "Adjust : 0.0797073 [ 65.90 %]\n", + "Total : 0.120943 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6637 396 93 9 3 2 2 \n", + "1 : 6630 426 70 9 3 1 3 \n", + "2 : 6691 378 63 4 4 1 1 \n", + "3 : 6648 395 90 6 1 1 1 \n", + "4 : 6651 382 91 10 3 4 1 \n", + "5 : 6660 384 85 8 2 1 2 \n", + "6 : 6686 368 73 11 3 0 1 \n", + "7 : 6684 375 75 3 2 0 3 \n", + "8 : 6661 388 75 13 2 2 1 \n", + "9 : 6682 369 78 8 3 2 0 \n", + "10 : 6696 352 79 8 5 1 1 \n", + "11 : 6690 356 85 10 0 0 1 \n", + "12 : 6700 354 74 9 2 1 2 \n", + "13 : 6631 412 97 9 1 2 2 \n", + "\n", + "T : 93347 5335 1128 117 34 18 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6794e-03 sec\n", + "--- Collate = 3.1609e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.534370e-04 < 1.562500e-03 [11]\n", + "--- Max DT=3.044258e-01 > 1.000000e-01 [71646]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71646/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=16.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000423776 [ 0.35 %]\n", + "Velocity : 0.000976165 [ 0.81 %]\n", + "Force : 0.0254739 [ 21.16 %]\n", + "Coefs : 0.0118546 [ 9.85 %]\n", + "Output : 0.00217046 [ 1.80 %]\n", + "Levels : 0.000148267 [ 0.12 %]\n", + "Report : 4e-07 [ 0.00 %]\n", + "Balance : 2.02e-07 [ 0.00 %]\n", + "Adjust : 0.0792664 [ 65.83 %]\n", + "Total : 0.120406 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6638 396 91 10 4 0 3 \n", + "1 : 6634 425 66 10 3 1 3 \n", + "2 : 6688 381 64 3 3 3 0 \n", + "3 : 6650 394 88 8 2 0 0 \n", + "4 : 6649 385 88 12 3 4 1 \n", + "5 : 6656 388 84 8 4 0 2 \n", + "6 : 6687 366 74 11 3 0 1 \n", + "7 : 6686 374 73 6 0 1 2 \n", + "8 : 6661 387 75 14 1 4 0 \n", + "9 : 6681 371 76 9 4 0 1 \n", + "10 : 6696 352 79 9 4 1 1 \n", + "11 : 6690 356 85 10 0 0 1 \n", + "12 : 6699 356 73 9 2 1 2 \n", + "13 : 6631 412 95 11 1 3 1 \n", + "\n", + "T : 93346 5343 1111 130 34 18 18 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6293e-03 sec\n", + "--- Collate = 2.9455e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.108873e-04 < 1.562500e-03 [10]\n", + "--- Max DT=3.044337e-01 > 1.000000e-01 [71637]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71637/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=16.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00041999 [ 0.33 %]\n", + "Velocity : 0.00100956 [ 0.79 %]\n", + "Force : 0.0264433 [ 20.73 %]\n", + "Coefs : 0.0125297 [ 9.82 %]\n", + "Output : 0.00240278 [ 1.88 %]\n", + "Levels : 0.000155404 [ 0.12 %]\n", + "Report : 3.07e-07 [ 0.00 %]\n", + "Balance : 1.96e-07 [ 0.00 %]\n", + "Adjust : 0.0844846 [ 66.24 %]\n", + "Total : 0.127542 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6642 392 91 11 3 2 1 \n", + "1 : 6632 428 63 12 2 4 1 \n", + "2 : 6690 380 63 2 4 2 1 \n", + "3 : 6651 394 88 7 1 1 0 \n", + "4 : 6648 385 90 11 4 3 1 \n", + "5 : 6655 389 84 7 4 1 2 \n", + "6 : 6688 367 73 11 2 0 1 \n", + "7 : 6686 373 74 6 1 0 2 \n", + "8 : 6660 387 78 10 4 1 2 \n", + "9 : 6684 369 74 11 3 0 1 \n", + "10 : 6697 351 75 14 4 1 0 \n", + "11 : 6688 361 83 9 0 0 1 \n", + "12 : 6698 357 72 11 1 1 2 \n", + "13 : 6634 408 95 11 3 1 2 \n", + "\n", + "T : 93353 5341 1103 133 36 17 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 4.6393e-03 sec\n", + "--- Collate = 3.2473e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.008075e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.044415e-01 > 1.000000e-01 [71635]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71635/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=16.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00042996 [ 0.36 %]\n", + "Velocity : 0.000996648 [ 0.83 %]\n", + "Force : 0.0262343 [ 21.73 %]\n", + "Coefs : 0.0122839 [ 10.17 %]\n", + "Output : 0.00215242 [ 1.78 %]\n", + "Levels : 0.000166815 [ 0.14 %]\n", + "Report : 4.02e-07 [ 0.00 %]\n", + "Balance : 1.83e-07 [ 0.00 %]\n", + "Adjust : 0.078373 [ 64.92 %]\n", + "Total : 0.120731 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6645 387 93 11 2 3 1 \n", + "1 : 6632 427 63 12 4 4 0 \n", + "2 : 6688 381 64 3 2 2 2 \n", + "3 : 6651 394 88 6 2 1 0 \n", + "4 : 6647 385 91 11 5 1 2 \n", + "5 : 6656 387 85 7 3 2 2 \n", + "6 : 6687 367 74 10 3 1 0 \n", + "7 : 6685 374 74 5 2 2 0 \n", + "8 : 6660 388 77 10 4 0 3 \n", + "9 : 6683 369 76 10 2 2 0 \n", + "10 : 6697 351 78 11 2 3 0 \n", + "11 : 6689 360 83 8 1 1 0 \n", + "12 : 6698 359 71 10 2 1 1 \n", + "13 : 6637 404 98 9 3 1 2 \n", + "\n", + "T : 93355 5333 1115 123 37 24 13 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 4.6374e-03 sec\n", + "--- Collate = 3.1187e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.455945e-04 < 1.562500e-03 [6]\n", + "--- Max DT=3.044491e-01 > 1.000000e-01 [71635]\n", + "----------------------------------------------------------------------\n", + " Component | low: 6/100000\n", + " Component | high: 71635/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=16.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000419886 [ 0.35 %]\n", + "Velocity : 0.000993346 [ 0.82 %]\n", + "Force : 0.0259696 [ 21.51 %]\n", + "Coefs : 0.0119864 [ 9.93 %]\n", + "Output : 0.0022009 [ 1.82 %]\n", + "Levels : 0.000146778 [ 0.12 %]\n", + "Report : 4.21e-07 [ 0.00 %]\n", + "Balance : 2e-07 [ 0.00 %]\n", + "Adjust : 0.0789074 [ 65.37 %]\n", + "Total : 0.120718 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6644 388 93 10 4 2 1 \n", + "1 : 6629 430 64 12 5 0 2 \n", + "2 : 6689 381 62 4 2 0 4 \n", + "3 : 6649 396 87 7 2 1 0 \n", + "4 : 6645 387 91 11 5 1 2 \n", + "5 : 6655 389 84 7 3 2 2 \n", + "6 : 6689 364 77 7 4 1 0 \n", + "7 : 6687 371 75 6 2 1 0 \n", + "8 : 6660 388 78 10 1 2 3 \n", + "9 : 6682 369 78 9 1 2 1 \n", + "10 : 6698 350 77 11 4 2 0 \n", + "11 : 6689 360 82 9 2 0 0 \n", + "12 : 6694 363 72 9 2 2 0 \n", + "13 : 6637 405 98 8 2 3 1 \n", + "\n", + "T : 93347 5341 1118 120 39 19 16 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5297e-03 sec\n", + "--- Collate = 3.5315e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.474693e-04 < 1.562500e-03 [7]\n", + "--- Max DT=3.044567e-01 > 1.000000e-01 [71632]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71632/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=16.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000414231 [ 0.34 %]\n", + "Velocity : 0.00100846 [ 0.83 %]\n", + "Force : 0.0261443 [ 21.57 %]\n", + "Coefs : 0.0119498 [ 9.86 %]\n", + "Output : 0.00220837 [ 1.82 %]\n", + "Levels : 0.00014608 [ 0.12 %]\n", + "Report : 3.48e-07 [ 0.00 %]\n", + "Balance : 1.94e-07 [ 0.00 %]\n", + "Adjust : 0.0792397 [ 65.38 %]\n", + "Total : 0.121205 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6645 389 89 10 5 2 2 \n", + "1 : 6628 429 67 12 4 0 2 \n", + "2 : 6688 379 63 6 1 2 3 \n", + "3 : 6651 394 86 8 2 1 0 \n", + "4 : 6642 391 92 10 2 3 2 \n", + "5 : 6656 387 85 7 3 1 3 \n", + "6 : 6689 364 77 7 4 1 0 \n", + "7 : 6687 371 74 8 1 1 0 \n", + "8 : 6661 384 80 11 2 3 1 \n", + "9 : 6681 372 76 8 3 1 1 \n", + "10 : 6697 350 78 12 2 2 1 \n", + "11 : 6689 360 82 10 0 1 0 \n", + "12 : 6691 367 71 8 3 1 1 \n", + "13 : 6636 405 98 9 4 1 1 \n", + "\n", + "T : 93341 5342 1118 126 36 20 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5013e-03 sec\n", + "--- Collate = 3.2129e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.499649e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.044644e-01 > 1.000000e-01 [71622]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71622/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=16.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000426706 [ 0.36 %]\n", + "Velocity : 0.000977363 [ 0.81 %]\n", + "Force : 0.0254858 [ 21.22 %]\n", + "Coefs : 0.0122851 [ 10.23 %]\n", + "Output : 0.00215046 [ 1.79 %]\n", + "Levels : 0.000143536 [ 0.12 %]\n", + "Report : 3.89e-07 [ 0.00 %]\n", + "Balance : 1.84e-07 [ 0.00 %]\n", + "Adjust : 0.0785464 [ 65.40 %]\n", + "Total : 0.120106 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6642 393 88 9 7 0 3 \n", + "1 : 6627 431 66 15 2 0 1 \n", + "2 : 6688 379 64 5 2 1 3 \n", + "3 : 6652 393 85 8 3 1 0 \n", + "4 : 6643 389 93 11 2 2 2 \n", + "5 : 6660 383 84 10 1 2 2 \n", + "6 : 6690 362 78 7 1 4 0 \n", + "7 : 6687 371 74 9 0 0 1 \n", + "8 : 6660 386 79 12 3 0 2 \n", + "9 : 6681 372 77 6 3 1 2 \n", + "10 : 6696 349 81 11 2 0 3 \n", + "11 : 6689 359 82 10 1 1 0 \n", + "12 : 6690 369 70 9 3 0 1 \n", + "13 : 6636 405 99 10 2 0 2 \n", + "\n", + "T : 93341 5341 1120 132 32 12 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5198e-03 sec\n", + "--- Collate = 2.9625e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.818387e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.044719e-01 > 1.000000e-01 [71625]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71625/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=17] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000417929 [ 0.31 %]\n", + "Velocity : 0.000996455 [ 0.74 %]\n", + "Force : 0.0262405 [ 19.61 %]\n", + "Coefs : 0.0122319 [ 9.14 %]\n", + "Output : 0.01525 [ 11.40 %]\n", + "Levels : 0.000167678 [ 0.13 %]\n", + "Report : 4.97e-07 [ 0.00 %]\n", + "Balance : 4.59e-07 [ 0.00 %]\n", + "Adjust : 0.0783925 [ 58.59 %]\n", + "Total : 0.1338 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6640 394 90 8 4 4 2 \n", + "1 : 6626 430 68 13 3 1 1 \n", + "2 : 6690 376 65 5 3 0 3 \n", + "3 : 6652 393 86 7 3 0 1 \n", + "4 : 6643 389 92 13 2 1 2 \n", + "5 : 6660 383 83 10 3 1 2 \n", + "6 : 6690 363 77 5 3 2 2 \n", + "7 : 6687 371 73 9 0 1 1 \n", + "8 : 6657 387 81 10 2 1 4 \n", + "9 : 6682 371 77 6 2 2 2 \n", + "10 : 6698 346 83 10 1 1 3 \n", + "11 : 6689 359 83 9 1 0 1 \n", + "12 : 6689 369 71 9 2 1 1 \n", + "13 : 6637 402 101 9 1 2 2 \n", + "\n", + "T : 93340 5333 1130 123 30 17 27 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6868e-03 sec\n", + "--- Collate = 3.5426e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.307071e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.044795e-01 > 1.000000e-01 [71626]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71626/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=17.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000373021 [ 0.30 %]\n", + "Velocity : 0.0011183 [ 0.90 %]\n", + "Force : 0.0269394 [ 21.66 %]\n", + "Coefs : 0.0124483 [ 10.01 %]\n", + "Output : 0.00235984 [ 1.90 %]\n", + "Levels : 0.000160593 [ 0.13 %]\n", + "Report : 2.87e-07 [ 0.00 %]\n", + "Balance : 2.7e-07 [ 0.00 %]\n", + "Adjust : 0.0808834 [ 65.03 %]\n", + "Total : 0.124379 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6642 392 92 8 1 5 2 \n", + "1 : 6627 431 68 12 2 1 1 \n", + "2 : 6691 376 64 6 2 2 1 \n", + "3 : 6652 394 85 7 2 1 1 \n", + "4 : 6641 392 90 14 1 3 1 \n", + "5 : 6661 382 81 13 3 2 0 \n", + "6 : 6690 362 76 8 2 1 3 \n", + "7 : 6686 374 72 8 0 0 2 \n", + "8 : 6656 388 83 8 2 1 4 \n", + "9 : 6683 370 78 6 1 1 3 \n", + "10 : 6697 347 83 10 1 1 3 \n", + "11 : 6689 359 83 9 1 0 1 \n", + "12 : 6689 369 70 11 0 3 0 \n", + "13 : 6638 398 105 8 1 1 3 \n", + "\n", + "T : 93342 5334 1130 128 19 22 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6309e-03 sec\n", + "--- Collate = 3.0483e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.985935e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.044870e-01 > 1.000000e-01 [71636]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71636/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=17.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000354443 [ 0.30 %]\n", + "Velocity : 0.00115919 [ 0.97 %]\n", + "Force : 0.0254982 [ 21.24 %]\n", + "Coefs : 0.0122185 [ 10.18 %]\n", + "Output : 0.00220772 [ 1.84 %]\n", + "Levels : 0.000150741 [ 0.13 %]\n", + "Report : 4.03e-07 [ 0.00 %]\n", + "Balance : 2.57e-07 [ 0.00 %]\n", + "Adjust : 0.0783921 [ 65.29 %]\n", + "Total : 0.120072 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6642 392 93 6 3 4 2 \n", + "1 : 6628 430 69 10 4 0 1 \n", + "2 : 6694 373 62 9 1 3 0 \n", + "3 : 6651 395 84 7 3 1 1 \n", + "4 : 6641 390 91 14 4 1 1 \n", + "5 : 6661 380 83 12 4 2 0 \n", + "6 : 6690 363 75 7 1 3 3 \n", + "7 : 6684 376 72 7 1 1 1 \n", + "8 : 6658 387 83 5 3 3 3 \n", + "9 : 6683 371 77 6 2 1 2 \n", + "10 : 6698 347 84 6 4 2 1 \n", + "11 : 6692 357 83 8 0 1 1 \n", + "12 : 6688 370 70 11 1 1 1 \n", + "13 : 6637 400 103 9 1 2 2 \n", + "\n", + "T : 93347 5331 1129 117 32 25 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6322e-03 sec\n", + "--- Collate = 3.2246e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.110902e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.044944e-01 > 1.000000e-01 [71645]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71645/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=17.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000422453 [ 0.35 %]\n", + "Velocity : 0.00101508 [ 0.83 %]\n", + "Force : 0.0260957 [ 21.38 %]\n", + "Coefs : 0.0123465 [ 10.11 %]\n", + "Output : 0.00227922 [ 1.87 %]\n", + "Levels : 0.000175287 [ 0.14 %]\n", + "Report : 4.27e-07 [ 0.00 %]\n", + "Balance : 2.67e-07 [ 0.00 %]\n", + "Adjust : 0.079645 [ 65.24 %]\n", + "Total : 0.122075 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6641 393 92 7 5 1 3 \n", + "1 : 6627 433 66 10 2 4 0 \n", + "2 : 6694 372 62 9 3 1 1 \n", + "3 : 6650 396 82 10 1 2 1 \n", + "4 : 6641 390 92 15 2 1 1 \n", + "5 : 6660 382 82 15 2 1 0 \n", + "6 : 6689 365 74 7 2 4 1 \n", + "7 : 6686 374 73 6 1 1 1 \n", + "8 : 6657 388 81 7 5 3 1 \n", + "9 : 6682 374 74 8 2 1 1 \n", + "10 : 6698 347 85 5 4 2 1 \n", + "11 : 6693 355 83 8 1 2 0 \n", + "12 : 6686 373 69 11 1 0 2 \n", + "13 : 6640 397 105 6 2 2 2 \n", + "\n", + "T : 93344 5339 1120 124 33 25 15 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6373e-03 sec\n", + "--- Collate = 2.9224e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.546222e-05 < 1.562500e-03 [6]\n", + "--- Max DT=3.045016e-01 > 1.000000e-01 [71636]\n", + "----------------------------------------------------------------------\n", + " Component | low: 6/100000\n", + " Component | high: 71636/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=17.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000425266 [ 0.35 %]\n", + "Velocity : 0.000992935 [ 0.83 %]\n", + "Force : 0.025934 [ 21.59 %]\n", + "Coefs : 0.0123328 [ 10.27 %]\n", + "Output : 0.00227548 [ 1.89 %]\n", + "Levels : 0.000146295 [ 0.12 %]\n", + "Report : 3.92e-07 [ 0.00 %]\n", + "Balance : 2.56e-07 [ 0.00 %]\n", + "Adjust : 0.0779407 [ 64.87 %]\n", + "Total : 0.120142 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6641 394 92 5 7 1 2 \n", + "1 : 6629 429 69 8 3 1 3 \n", + "2 : 6696 370 63 9 2 0 2 \n", + "3 : 6651 394 83 10 1 2 1 \n", + "4 : 6640 390 93 14 3 1 1 \n", + "5 : 6659 381 83 16 2 0 1 \n", + "6 : 6689 363 74 10 2 2 2 \n", + "7 : 6685 376 72 5 2 1 1 \n", + "8 : 6657 388 82 6 5 2 2 \n", + "9 : 6681 373 76 8 2 2 0 \n", + "10 : 6696 349 85 6 4 2 0 \n", + "11 : 6693 357 81 8 2 0 1 \n", + "12 : 6686 373 68 12 1 0 2 \n", + "13 : 6639 396 107 7 1 3 1 \n", + "\n", + "T : 93342 5333 1128 124 37 17 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6395e-03 sec\n", + "--- Collate = 3.0921e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.245033e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.045087e-01 > 1.000000e-01 [71649]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71649/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=17.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000436729 [ 0.36 %]\n", + "Velocity : 0.000994436 [ 0.82 %]\n", + "Force : 0.0254784 [ 21.13 %]\n", + "Coefs : 0.0121846 [ 10.11 %]\n", + "Output : 0.00224422 [ 1.86 %]\n", + "Levels : 0.000153767 [ 0.13 %]\n", + "Report : 2.41e-07 [ 0.00 %]\n", + "Balance : 2.56e-07 [ 0.00 %]\n", + "Adjust : 0.0789883 [ 65.51 %]\n", + "Total : 0.120574 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6644 390 91 8 5 3 1 \n", + "1 : 6627 431 68 9 4 0 3 \n", + "2 : 6693 373 62 9 3 0 2 \n", + "3 : 6651 394 83 10 1 1 2 \n", + "4 : 6642 386 95 11 7 1 0 \n", + "5 : 6658 381 84 16 1 1 1 \n", + "6 : 6687 366 71 10 4 2 2 \n", + "7 : 6684 377 73 5 1 1 1 \n", + "8 : 6657 386 82 9 6 1 1 \n", + "9 : 6682 373 75 9 2 1 0 \n", + "10 : 6697 347 87 6 4 1 0 \n", + "11 : 6693 359 78 9 1 1 1 \n", + "12 : 6685 374 69 10 3 0 1 \n", + "13 : 6637 398 105 9 1 2 2 \n", + "\n", + "T : 93337 5335 1123 130 43 15 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7421e-03 sec\n", + "--- Collate = 3.1689e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.021693e-04 < 1.562500e-03 [5]\n", + "--- Max DT=3.045156e-01 > 1.000000e-01 [71655]\n", + "----------------------------------------------------------------------\n", + " Component | low: 5/100000\n", + " Component | high: 71655/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=17.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000443153 [ 0.35 %]\n", + "Velocity : 0.00101248 [ 0.81 %]\n", + "Force : 0.0261242 [ 20.91 %]\n", + "Coefs : 0.0125791 [ 10.07 %]\n", + "Output : 0.0024115 [ 1.93 %]\n", + "Levels : 0.000154316 [ 0.12 %]\n", + "Report : 4.4e-07 [ 0.00 %]\n", + "Balance : 2.6e-07 [ 0.00 %]\n", + "Adjust : 0.0821208 [ 65.73 %]\n", + "Total : 0.124941 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6644 389 91 10 6 2 0 \n", + "1 : 6627 431 68 9 3 1 3 \n", + "2 : 6695 371 63 7 3 2 1 \n", + "3 : 6653 395 80 10 2 0 2 \n", + "4 : 6644 383 97 10 4 4 0 \n", + "5 : 6657 379 87 13 4 0 2 \n", + "6 : 6687 365 71 12 3 2 2 \n", + "7 : 6683 377 75 4 1 1 1 \n", + "8 : 6658 386 81 10 5 0 2 \n", + "9 : 6679 376 75 9 3 0 0 \n", + "10 : 6696 348 86 8 3 0 1 \n", + "11 : 6693 359 78 10 0 0 2 \n", + "12 : 6684 376 67 10 3 2 0 \n", + "13 : 6637 398 103 11 3 0 2 \n", + "\n", + "T : 93337 5333 1122 133 43 14 18 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7580e-03 sec\n", + "--- Collate = 2.8204e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.142995e-05 < 1.562500e-03 [5]\n", + "--- Max DT=3.045225e-01 > 1.000000e-01 [71655]\n", + "----------------------------------------------------------------------\n", + " Component | low: 5/100000\n", + " Component | high: 71655/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=17.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000447683 [ 0.37 %]\n", + "Velocity : 0.00100808 [ 0.83 %]\n", + "Force : 0.0255092 [ 20.95 %]\n", + "Coefs : 0.0123591 [ 10.15 %]\n", + "Output : 0.00226025 [ 1.86 %]\n", + "Levels : 0.000192127 [ 0.16 %]\n", + "Report : 4.07e-07 [ 0.00 %]\n", + "Balance : 2.16e-07 [ 0.00 %]\n", + "Adjust : 0.0798874 [ 65.61 %]\n", + "Total : 0.121756 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6644 390 91 9 5 1 2 \n", + "1 : 6626 431 68 11 1 5 0 \n", + "2 : 6696 372 61 6 4 2 1 \n", + "3 : 6653 394 81 11 2 0 1 \n", + "4 : 6642 385 98 10 4 0 3 \n", + "5 : 6656 380 88 12 3 2 1 \n", + "6 : 6687 367 69 11 2 5 1 \n", + "7 : 6683 376 75 5 1 2 0 \n", + "8 : 6658 387 79 10 5 2 1 \n", + "9 : 6680 375 74 10 2 1 0 \n", + "10 : 6698 349 82 8 3 1 1 \n", + "11 : 6693 359 80 7 1 1 1 \n", + "12 : 6681 378 69 9 4 1 0 \n", + "13 : 6635 398 106 10 3 1 1 \n", + "\n", + "T : 93332 5341 1121 129 40 24 13 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6562e-03 sec\n", + "--- Collate = 3.1565e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.276253e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.045292e-01 > 1.000000e-01 [71642]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71642/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=17.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000422218 [ 0.35 %]\n", + "Velocity : 0.00101099 [ 0.84 %]\n", + "Force : 0.0257645 [ 21.34 %]\n", + "Coefs : 0.0122994 [ 10.19 %]\n", + "Output : 0.00220877 [ 1.83 %]\n", + "Levels : 0.000147961 [ 0.12 %]\n", + "Report : 3.91e-07 [ 0.00 %]\n", + "Balance : 2.29e-07 [ 0.00 %]\n", + "Adjust : 0.0787623 [ 65.25 %]\n", + "Total : 0.120709 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6643 391 91 13 0 1 3 \n", + "1 : 6622 436 67 13 1 2 1 \n", + "2 : 6696 372 60 7 4 2 1 \n", + "3 : 6654 395 81 9 0 1 2 \n", + "4 : 6642 386 98 9 3 1 3 \n", + "5 : 6658 378 88 11 4 1 2 \n", + "6 : 6687 364 74 10 3 2 2 \n", + "7 : 6683 378 73 5 1 1 1 \n", + "8 : 6655 389 79 15 2 0 2 \n", + "9 : 6679 377 72 10 3 0 1 \n", + "10 : 6698 349 81 9 0 4 1 \n", + "11 : 6690 363 79 7 2 0 1 \n", + "12 : 6678 382 67 7 5 2 1 \n", + "13 : 6636 399 103 14 1 1 0 \n", + "\n", + "T : 93321 5359 1113 139 29 18 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6873e-03 sec\n", + "--- Collate = 3.2128e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.111216e-04 < 1.562500e-03 [12]\n", + "--- Max DT=3.045357e-01 > 1.000000e-01 [71650]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71650/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=17.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00043429 [ 0.36 %]\n", + "Velocity : 0.000982355 [ 0.81 %]\n", + "Force : 0.0254823 [ 21.12 %]\n", + "Coefs : 0.0126989 [ 10.53 %]\n", + "Output : 0.00226532 [ 1.88 %]\n", + "Levels : 0.000147011 [ 0.12 %]\n", + "Report : 4.05e-07 [ 0.00 %]\n", + "Balance : 2.31e-07 [ 0.00 %]\n", + "Adjust : 0.0785278 [ 65.10 %]\n", + "Total : 0.120633 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6646 390 90 11 1 1 3 \n", + "1 : 6627 431 68 13 1 0 2 \n", + "2 : 6695 374 59 6 5 1 2 \n", + "3 : 6652 396 82 7 2 1 2 \n", + "4 : 6642 387 96 11 2 1 3 \n", + "5 : 6658 379 89 9 3 3 1 \n", + "6 : 6686 365 71 9 8 0 3 \n", + "7 : 6683 379 72 6 1 0 1 \n", + "8 : 6657 389 77 12 4 2 1 \n", + "9 : 6679 377 73 10 1 1 1 \n", + "10 : 6699 349 80 8 2 1 3 \n", + "11 : 6688 364 79 8 2 1 0 \n", + "12 : 6677 385 65 7 2 3 3 \n", + "13 : 6637 399 101 12 3 1 1 \n", + "\n", + "T : 93326 5364 1102 129 37 16 26 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.9693e-03 sec\n", + "--- Collate = 3.2621e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.514270e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.045419e-01 > 1.000000e-01 [71636]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71636/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=18] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000432958 [ 0.31 %]\n", + "Velocity : 0.00100077 [ 0.72 %]\n", + "Force : 0.0267559 [ 19.31 %]\n", + "Coefs : 0.0125265 [ 9.04 %]\n", + "Output : 0.0174419 [ 12.59 %]\n", + "Levels : 0.000173517 [ 0.13 %]\n", + "Report : 5.98e-07 [ 0.00 %]\n", + "Balance : 3.58e-07 [ 0.00 %]\n", + "Adjust : 0.0801239 [ 57.83 %]\n", + "Total : 0.13855 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6643 395 90 9 1 2 2 \n", + "1 : 6629 429 66 14 2 0 2 \n", + "2 : 6696 373 60 6 2 2 3 \n", + "3 : 6652 397 81 7 2 1 2 \n", + "4 : 6642 387 97 11 1 3 1 \n", + "5 : 6657 380 90 8 3 2 2 \n", + "6 : 6684 368 74 5 6 3 2 \n", + "7 : 6681 380 73 6 1 0 1 \n", + "8 : 6658 388 76 11 6 1 2 \n", + "9 : 6678 378 73 10 0 2 1 \n", + "10 : 6696 354 77 8 3 1 3 \n", + "11 : 6691 360 80 8 2 1 0 \n", + "12 : 6678 384 63 9 1 3 4 \n", + "13 : 6639 397 102 11 3 1 1 \n", + "\n", + "T : 93324 5370 1102 123 33 22 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6740e-03 sec\n", + "--- Collate = 3.4308e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.455854e-06 < 1.562500e-03 [14]\n", + "--- Max DT=3.045478e-01 > 1.000000e-01 [71638]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71638/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=18.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000291569 [ 0.24 %]\n", + "Velocity : 0.00127351 [ 1.06 %]\n", + "Force : 0.0255552 [ 21.30 %]\n", + "Coefs : 0.0118628 [ 9.89 %]\n", + "Output : 0.00228013 [ 1.90 %]\n", + "Levels : 0.000176248 [ 0.15 %]\n", + "Report : 4.33e-07 [ 0.00 %]\n", + "Balance : 2.35e-07 [ 0.00 %]\n", + "Adjust : 0.0784384 [ 65.38 %]\n", + "Total : 0.11997 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6642 395 92 8 2 2 1 \n", + "1 : 6631 428 63 16 1 1 2 \n", + "2 : 6693 375 59 8 2 1 4 \n", + "3 : 6651 399 80 6 3 1 2 \n", + "4 : 6642 389 95 11 1 3 1 \n", + "5 : 6657 381 88 11 1 1 3 \n", + "6 : 6683 369 72 7 5 3 3 \n", + "7 : 6680 380 73 8 0 1 0 \n", + "8 : 6659 389 76 8 6 2 2 \n", + "9 : 6679 378 73 9 0 1 2 \n", + "10 : 6695 354 80 7 2 0 4 \n", + "11 : 6691 360 77 10 2 2 0 \n", + "12 : 6680 382 63 7 2 0 8 \n", + "13 : 6637 400 102 10 2 2 1 \n", + "\n", + "T : 93320 5379 1093 126 29 20 33 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6609e-03 sec\n", + "--- Collate = 3.2360e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.540308e-05 < 1.562500e-03 [19]\n", + "--- Max DT=3.045537e-01 > 1.000000e-01 [71641]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 71641/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=18.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000427474 [ 0.35 %]\n", + "Velocity : 0.000984668 [ 0.81 %]\n", + "Force : 0.026051 [ 21.44 %]\n", + "Coefs : 0.0127064 [ 10.46 %]\n", + "Output : 0.00229863 [ 1.89 %]\n", + "Levels : 0.000170135 [ 0.14 %]\n", + "Report : 3.85e-07 [ 0.00 %]\n", + "Balance : 2.18e-07 [ 0.00 %]\n", + "Adjust : 0.078765 [ 64.83 %]\n", + "Total : 0.121498 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6642 396 92 5 4 1 2 \n", + "1 : 6633 426 63 15 2 1 2 \n", + "2 : 6693 375 60 7 3 1 3 \n", + "3 : 6652 400 78 5 3 3 1 \n", + "4 : 6641 391 96 9 4 0 1 \n", + "5 : 6655 382 90 10 1 1 3 \n", + "6 : 6682 370 72 5 6 3 4 \n", + "7 : 6680 381 72 8 1 0 0 \n", + "8 : 6656 391 77 8 7 0 3 \n", + "9 : 6678 381 71 9 1 0 2 \n", + "10 : 6694 357 77 8 2 3 1 \n", + "11 : 6693 357 75 13 1 2 1 \n", + "12 : 6679 382 65 6 1 3 6 \n", + "13 : 6638 399 103 9 1 2 2 \n", + "\n", + "T : 93316 5388 1091 117 37 20 31 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6802e-03 sec\n", + "--- Collate = 3.1649e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.567284e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.045594e-01 > 1.000000e-01 [71627]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71627/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=18.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000445434 [ 0.37 %]\n", + "Velocity : 0.000987221 [ 0.82 %]\n", + "Force : 0.025805 [ 21.42 %]\n", + "Coefs : 0.0122246 [ 10.15 %]\n", + "Output : 0.00227489 [ 1.89 %]\n", + "Levels : 0.000147052 [ 0.12 %]\n", + "Report : 3.84e-07 [ 0.00 %]\n", + "Balance : 2.17e-07 [ 0.00 %]\n", + "Adjust : 0.0785204 [ 65.16 %]\n", + "Total : 0.120498 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6644 392 95 3 5 1 2 \n", + "1 : 6635 423 64 14 3 1 2 \n", + "2 : 6692 375 61 6 4 2 2 \n", + "3 : 6651 399 79 6 3 4 0 \n", + "4 : 6640 392 94 12 4 0 0 \n", + "5 : 6655 384 87 11 2 1 2 \n", + "6 : 6681 372 69 7 6 4 3 \n", + "7 : 6682 377 73 9 1 0 0 \n", + "8 : 6655 392 78 8 5 2 2 \n", + "9 : 6676 383 72 8 1 0 2 \n", + "10 : 6696 354 79 6 4 2 1 \n", + "11 : 6691 359 76 12 1 1 2 \n", + "12 : 6679 382 66 5 2 5 3 \n", + "13 : 6636 401 102 10 1 2 2 \n", + "\n", + "T : 93313 5385 1095 117 42 25 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6740e-03 sec\n", + "--- Collate = 3.2242e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.415565e-05 < 1.562500e-03 [5]\n", + "--- Max DT=3.045650e-01 > 1.000000e-01 [71621]\n", + "----------------------------------------------------------------------\n", + " Component | low: 5/100000\n", + " Component | high: 71621/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=18.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000418939 [ 0.34 %]\n", + "Velocity : 0.00100001 [ 0.82 %]\n", + "Force : 0.0256511 [ 21.09 %]\n", + "Coefs : 0.0123132 [ 10.12 %]\n", + "Output : 0.00229341 [ 1.89 %]\n", + "Levels : 0.000174488 [ 0.14 %]\n", + "Report : 4.06e-07 [ 0.00 %]\n", + "Balance : 2.33e-07 [ 0.00 %]\n", + "Adjust : 0.0796737 [ 65.51 %]\n", + "Total : 0.121619 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6644 391 96 5 3 1 2 \n", + "1 : 6637 422 63 14 1 3 2 \n", + "2 : 6694 373 61 7 5 2 0 \n", + "3 : 6651 399 79 5 5 1 2 \n", + "4 : 6641 392 94 11 2 1 1 \n", + "5 : 6654 385 84 14 2 2 1 \n", + "6 : 6680 373 68 9 4 3 5 \n", + "7 : 6681 377 75 8 1 0 0 \n", + "8 : 6655 394 77 8 4 2 2 \n", + "9 : 6675 380 77 7 1 2 0 \n", + "10 : 6697 353 79 5 6 2 0 \n", + "11 : 6689 361 76 12 0 1 3 \n", + "12 : 6679 381 67 4 5 5 1 \n", + "13 : 6636 402 101 9 2 3 1 \n", + "\n", + "T : 93313 5383 1097 118 41 28 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7947e-03 sec\n", + "--- Collate = 3.2603e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.845747e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.045705e-01 > 1.000000e-01 [71630]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71630/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=18.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000436849 [ 0.36 %]\n", + "Velocity : 0.0010487 [ 0.86 %]\n", + "Force : 0.0262193 [ 21.49 %]\n", + "Coefs : 0.0124323 [ 10.19 %]\n", + "Output : 0.00224726 [ 1.84 %]\n", + "Levels : 0.000161112 [ 0.13 %]\n", + "Report : 6.48e-07 [ 0.00 %]\n", + "Balance : 2.15e-07 [ 0.00 %]\n", + "Adjust : 0.0793825 [ 65.06 %]\n", + "Total : 0.122023 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6645 389 96 8 0 2 2 \n", + "1 : 6636 424 63 14 0 3 2 \n", + "2 : 6693 374 62 5 6 2 0 \n", + "3 : 6654 396 77 9 3 1 2 \n", + "4 : 6640 393 93 12 2 0 2 \n", + "5 : 6654 385 85 13 3 1 1 \n", + "6 : 6679 374 71 6 5 3 4 \n", + "7 : 6676 382 75 8 0 1 0 \n", + "8 : 6654 393 80 8 5 1 1 \n", + "9 : 6677 382 73 7 3 0 0 \n", + "10 : 6697 353 79 7 4 1 1 \n", + "11 : 6687 363 77 10 1 1 3 \n", + "12 : 6681 377 68 4 9 1 2 \n", + "13 : 6638 401 103 7 2 1 2 \n", + "\n", + "T : 93311 5386 1102 118 43 18 22 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6216e-03 sec\n", + "--- Collate = 4.1440e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.487886e-04 < 1.562500e-03 [11]\n", + "--- Max DT=3.045759e-01 > 1.000000e-01 [71651]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71651/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=18.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000448236 [ 0.37 %]\n", + "Velocity : 0.00121491 [ 1.00 %]\n", + "Force : 0.0258065 [ 21.32 %]\n", + "Coefs : 0.0123092 [ 10.17 %]\n", + "Output : 0.0022673 [ 1.87 %]\n", + "Levels : 0.000146561 [ 0.12 %]\n", + "Report : 4.37e-07 [ 0.00 %]\n", + "Balance : 2.14e-07 [ 0.00 %]\n", + "Adjust : 0.0787841 [ 65.07 %]\n", + "Total : 0.121072 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6644 389 98 7 0 2 2 \n", + "1 : 6638 422 63 13 2 1 3 \n", + "2 : 6690 375 61 8 8 0 0 \n", + "3 : 6655 394 76 12 1 1 3 \n", + "4 : 6641 389 96 12 2 0 2 \n", + "5 : 6656 383 86 10 6 0 1 \n", + "6 : 6679 375 67 10 6 0 5 \n", + "7 : 6675 383 76 5 2 0 1 \n", + "8 : 6657 389 80 11 3 1 1 \n", + "9 : 6676 382 74 7 3 0 0 \n", + "10 : 6697 354 78 7 3 2 1 \n", + "11 : 6686 363 79 9 2 1 2 \n", + "12 : 6677 380 70 6 6 1 2 \n", + "13 : 6638 401 103 5 3 1 3 \n", + "\n", + "T : 93309 5379 1107 122 47 10 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6540e-03 sec\n", + "--- Collate = 3.0839e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.177656e-06 < 1.562500e-03 [11]\n", + "--- Max DT=3.045813e-01 > 1.000000e-01 [71653]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71653/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=18.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000427777 [ 0.36 %]\n", + "Velocity : 0.000988165 [ 0.82 %]\n", + "Force : 0.0256425 [ 21.31 %]\n", + "Coefs : 0.012089 [ 10.05 %]\n", + "Output : 0.0022495 [ 1.87 %]\n", + "Levels : 0.000150709 [ 0.13 %]\n", + "Report : 4.37e-07 [ 0.00 %]\n", + "Balance : 2.34e-07 [ 0.00 %]\n", + "Adjust : 0.0786759 [ 65.39 %]\n", + "Total : 0.120316 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6645 388 97 7 3 0 2 \n", + "1 : 6636 426 61 11 5 1 2 \n", + "2 : 6689 376 59 10 8 0 0 \n", + "3 : 6655 393 76 12 2 3 1 \n", + "4 : 6642 389 97 10 1 2 1 \n", + "5 : 6655 385 84 9 6 1 2 \n", + "6 : 6677 376 69 10 5 3 2 \n", + "7 : 6673 385 75 6 1 1 1 \n", + "8 : 6656 389 80 13 3 0 1 \n", + "9 : 6675 382 75 7 2 1 0 \n", + "10 : 6694 355 83 5 2 1 2 \n", + "11 : 6686 363 77 11 2 1 2 \n", + "12 : 6677 377 72 9 2 5 0 \n", + "13 : 6637 403 102 5 3 2 2 \n", + "\n", + "T : 93297 5387 1107 125 45 21 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6147e-03 sec\n", + "--- Collate = 3.2649e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.287469e-04 < 1.562500e-03 [3]\n", + "--- Max DT=3.045864e-01 > 1.000000e-01 [71661]\n", + "----------------------------------------------------------------------\n", + " Component | low: 3/100000\n", + " Component | high: 71661/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=18.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000421307 [ 0.35 %]\n", + "Velocity : 0.000978121 [ 0.81 %]\n", + "Force : 0.0267968 [ 22.10 %]\n", + "Coefs : 0.012493 [ 10.31 %]\n", + "Output : 0.00223611 [ 1.84 %]\n", + "Levels : 0.0001668 [ 0.14 %]\n", + "Report : 4.08e-07 [ 0.00 %]\n", + "Balance : 2.2e-07 [ 0.00 %]\n", + "Adjust : 0.078043 [ 64.38 %]\n", + "Total : 0.121225 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6645 390 95 7 3 1 1 \n", + "1 : 6635 426 63 10 4 2 2 \n", + "2 : 6689 374 62 9 6 1 1 \n", + "3 : 6656 392 77 9 5 1 2 \n", + "4 : 6641 389 101 4 3 3 1 \n", + "5 : 6655 386 84 7 7 1 2 \n", + "6 : 6677 374 72 11 3 3 2 \n", + "7 : 6674 383 74 8 0 1 2 \n", + "8 : 6656 390 80 10 4 2 0 \n", + "9 : 6675 384 73 7 2 0 1 \n", + "10 : 6695 353 82 6 3 1 2 \n", + "11 : 6687 361 78 11 3 1 1 \n", + "12 : 6674 380 72 9 2 5 0 \n", + "13 : 6636 402 103 7 1 1 4 \n", + "\n", + "T : 93295 5384 1116 115 46 23 21 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6661e-03 sec\n", + "--- Collate = 3.2834e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.298083e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.045915e-01 > 1.000000e-01 [71663]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71663/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=18.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000433303 [ 0.36 %]\n", + "Velocity : 0.000991239 [ 0.81 %]\n", + "Force : 0.0256396 [ 21.08 %]\n", + "Coefs : 0.0121325 [ 9.97 %]\n", + "Output : 0.00228823 [ 1.88 %]\n", + "Levels : 0.000148148 [ 0.12 %]\n", + "Report : 4.44e-07 [ 0.00 %]\n", + "Balance : 2.23e-07 [ 0.00 %]\n", + "Adjust : 0.0799234 [ 65.70 %]\n", + "Total : 0.121648 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6642 393 96 4 5 2 0 \n", + "1 : 6635 426 62 11 5 3 0 \n", + "2 : 6690 374 62 12 2 1 1 \n", + "3 : 6654 392 76 11 7 1 1 \n", + "4 : 6642 387 103 3 4 2 1 \n", + "5 : 6652 389 84 7 4 4 2 \n", + "6 : 6676 373 71 15 4 1 2 \n", + "7 : 6676 379 76 8 0 2 1 \n", + "8 : 6655 390 82 8 6 0 1 \n", + "9 : 6676 383 73 6 2 1 1 \n", + "10 : 6692 354 83 7 3 1 2 \n", + "11 : 6686 363 79 9 4 0 1 \n", + "12 : 6673 381 72 9 3 1 3 \n", + "13 : 6639 399 101 8 1 4 2 \n", + "\n", + "T : 93288 5383 1120 118 50 23 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6260e-03 sec\n", + "--- Collate = 2.7667e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.573079e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.045965e-01 > 1.000000e-01 [71681]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71681/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=19] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000432757 [ 0.32 %]\n", + "Velocity : 0.000988398 [ 0.74 %]\n", + "Force : 0.0255275 [ 19.16 %]\n", + "Coefs : 0.0121506 [ 9.12 %]\n", + "Output : 0.0149863 [ 11.25 %]\n", + "Levels : 0.000151743 [ 0.11 %]\n", + "Report : 6.3e-07 [ 0.00 %]\n", + "Balance : 3.56e-07 [ 0.00 %]\n", + "Adjust : 0.0789176 [ 59.23 %]\n", + "Total : 0.133248 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6639 397 95 5 3 2 1 \n", + "1 : 6636 424 63 12 5 1 1 \n", + "2 : 6689 377 60 11 3 0 2 \n", + "3 : 6654 392 77 11 5 1 2 \n", + "4 : 6642 387 102 4 4 1 2 \n", + "5 : 6653 391 81 8 4 3 2 \n", + "6 : 6677 373 71 12 5 1 3 \n", + "7 : 6675 380 77 7 0 1 2 \n", + "8 : 6658 387 82 8 5 1 1 \n", + "9 : 6673 386 73 6 1 1 2 \n", + "10 : 6692 356 81 6 4 2 1 \n", + "11 : 6686 362 83 6 3 2 0 \n", + "12 : 6672 383 71 9 4 0 3 \n", + "13 : 6638 400 101 8 2 2 3 \n", + "\n", + "T : 93284 5395 1117 113 48 18 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6726e-03 sec\n", + "--- Collate = 3.0184e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.383722e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.046013e-01 > 1.000000e-01 [71685]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71685/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=19.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000328101 [ 0.27 %]\n", + "Velocity : 0.00111202 [ 0.91 %]\n", + "Force : 0.0254556 [ 20.91 %]\n", + "Coefs : 0.0118524 [ 9.73 %]\n", + "Output : 0.00223292 [ 1.83 %]\n", + "Levels : 0.000175692 [ 0.14 %]\n", + "Report : 4.06e-07 [ 0.00 %]\n", + "Balance : 2.3e-07 [ 0.00 %]\n", + "Adjust : 0.0805164 [ 66.12 %]\n", + "Total : 0.121765 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6639 397 92 7 5 0 2 \n", + "1 : 6637 421 67 12 2 2 1 \n", + "2 : 6690 375 62 11 2 1 1 \n", + "3 : 6653 393 78 10 5 2 1 \n", + "4 : 6642 386 102 5 2 2 3 \n", + "5 : 6651 392 83 8 1 4 3 \n", + "6 : 6678 374 69 13 4 1 3 \n", + "7 : 6672 383 77 7 1 1 1 \n", + "8 : 6657 388 84 6 4 2 1 \n", + "9 : 6671 389 70 8 0 2 2 \n", + "10 : 6693 352 84 7 3 2 1 \n", + "11 : 6684 365 82 6 3 1 1 \n", + "12 : 6670 384 72 8 4 1 3 \n", + "13 : 6639 399 102 6 3 3 2 \n", + "\n", + "T : 93276 5398 1124 114 39 24 25 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7817e-03 sec\n", + "--- Collate = 3.2057e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.750533e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.046062e-01 > 1.000000e-01 [71694]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71694/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=19.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000422619 [ 0.35 %]\n", + "Velocity : 0.0010148 [ 0.83 %]\n", + "Force : 0.0258671 [ 21.20 %]\n", + "Coefs : 0.0122687 [ 10.06 %]\n", + "Output : 0.00229318 [ 1.88 %]\n", + "Levels : 0.000164234 [ 0.13 %]\n", + "Report : 2.97e-07 [ 0.00 %]\n", + "Balance : 2.17e-07 [ 0.00 %]\n", + "Adjust : 0.0798797 [ 65.47 %]\n", + "Total : 0.122006 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6639 398 91 7 4 1 2 \n", + "1 : 6639 420 68 10 2 0 3 \n", + "2 : 6687 379 61 11 2 1 1 \n", + "3 : 6653 392 80 9 5 0 3 \n", + "4 : 6643 385 99 10 0 2 3 \n", + "5 : 6652 390 85 5 5 2 3 \n", + "6 : 6678 374 71 14 1 2 2 \n", + "7 : 6671 385 78 3 4 0 1 \n", + "8 : 6660 385 84 5 4 4 0 \n", + "9 : 6671 388 69 9 1 2 2 \n", + "10 : 6694 348 87 9 2 1 1 \n", + "11 : 6683 366 81 8 2 1 1 \n", + "12 : 6673 380 74 7 2 6 0 \n", + "13 : 6639 399 100 9 3 2 2 \n", + "\n", + "T : 93282 5389 1128 116 37 24 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7082e-03 sec\n", + "--- Collate = 3.1780e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.200668e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.046109e-01 > 1.000000e-01 [71683]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71683/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=19.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000465954 [ 0.37 %]\n", + "Velocity : 0.0010536 [ 0.84 %]\n", + "Force : 0.0269848 [ 21.62 %]\n", + "Coefs : 0.0124644 [ 9.99 %]\n", + "Output : 0.00228961 [ 1.83 %]\n", + "Levels : 0.000146504 [ 0.12 %]\n", + "Report : 4.04e-07 [ 0.00 %]\n", + "Balance : 2.52e-07 [ 0.00 %]\n", + "Adjust : 0.0813035 [ 65.14 %]\n", + "Total : 0.124808 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6639 398 91 8 3 2 1 \n", + "1 : 6638 420 68 12 1 1 2 \n", + "2 : 6688 378 62 10 3 1 0 \n", + "3 : 6654 391 79 7 7 2 2 \n", + "4 : 6644 384 100 10 0 2 2 \n", + "5 : 6655 387 84 5 6 2 3 \n", + "6 : 6680 372 73 11 2 2 2 \n", + "7 : 6671 385 78 3 4 1 0 \n", + "8 : 6659 386 84 4 3 4 2 \n", + "9 : 6673 385 68 11 2 1 2 \n", + "10 : 6696 344 89 8 3 0 2 \n", + "11 : 6685 364 80 9 1 2 1 \n", + "12 : 6673 378 75 9 3 4 0 \n", + "13 : 6639 398 99 11 3 1 3 \n", + "\n", + "T : 93294 5370 1130 118 41 25 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7498e-03 sec\n", + "--- Collate = 3.3693e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.059380e-06 < 1.562500e-03 [12]\n", + "--- Max DT=3.046156e-01 > 1.000000e-01 [71678]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71678/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=19.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000458838 [ 0.36 %]\n", + "Velocity : 0.00103184 [ 0.82 %]\n", + "Force : 0.0265754 [ 21.01 %]\n", + "Coefs : 0.0127096 [ 10.05 %]\n", + "Output : 0.00240871 [ 1.90 %]\n", + "Levels : 0.000149742 [ 0.12 %]\n", + "Report : 4.18e-07 [ 0.00 %]\n", + "Balance : 2.32e-07 [ 0.00 %]\n", + "Adjust : 0.0830431 [ 65.66 %]\n", + "Total : 0.126474 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6640 396 94 7 1 4 0 \n", + "1 : 6637 422 67 12 1 1 2 \n", + "2 : 6689 378 60 10 5 0 0 \n", + "3 : 6653 393 79 10 4 2 1 \n", + "4 : 6642 386 100 8 3 0 3 \n", + "5 : 6654 390 83 4 6 4 1 \n", + "6 : 6680 371 75 11 2 2 1 \n", + "7 : 6674 381 79 4 4 0 0 \n", + "8 : 6658 388 83 3 5 3 2 \n", + "9 : 6673 385 68 10 3 2 1 \n", + "10 : 6698 342 89 8 3 1 1 \n", + "11 : 6686 363 79 8 3 2 1 \n", + "12 : 6673 378 74 10 3 1 3 \n", + "13 : 6636 402 98 12 3 1 2 \n", + "\n", + "T : 93293 5375 1128 117 46 23 18 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7276e-03 sec\n", + "--- Collate = 3.1119e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.275335e-04 < 1.562500e-03 [8]\n", + "--- Max DT=3.046202e-01 > 1.000000e-01 [71689]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71689/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=19.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000445115 [ 0.36 %]\n", + "Velocity : 0.00101075 [ 0.82 %]\n", + "Force : 0.0259828 [ 21.13 %]\n", + "Coefs : 0.0133056 [ 10.82 %]\n", + "Output : 0.00226612 [ 1.84 %]\n", + "Levels : 0.00016777 [ 0.14 %]\n", + "Report : 3.95e-07 [ 0.00 %]\n", + "Balance : 2.61e-07 [ 0.00 %]\n", + "Adjust : 0.0796907 [ 64.81 %]\n", + "Total : 0.12296 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6639 399 91 7 3 1 2 \n", + "1 : 6637 422 67 12 1 3 0 \n", + "2 : 6690 378 59 12 3 0 0 \n", + "3 : 6656 389 81 9 4 3 0 \n", + "4 : 6640 389 97 8 5 3 0 \n", + "5 : 6653 392 82 5 7 0 3 \n", + "6 : 6679 371 75 10 4 2 1 \n", + "7 : 6672 383 77 7 1 2 0 \n", + "8 : 6655 392 82 5 1 3 4 \n", + "9 : 6673 386 67 9 5 1 1 \n", + "10 : 6695 345 86 10 3 1 2 \n", + "11 : 6683 365 79 10 2 1 2 \n", + "12 : 6671 382 74 6 5 1 3 \n", + "13 : 6638 399 99 11 4 2 1 \n", + "\n", + "T : 93281 5392 1116 121 48 23 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6240e-03 sec\n", + "--- Collate = 3.2364e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.720990e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.046246e-01 > 1.000000e-01 [71692]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71692/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=19.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00044161 [ 0.37 %]\n", + "Velocity : 0.000983515 [ 0.82 %]\n", + "Force : 0.0254508 [ 21.18 %]\n", + "Coefs : 0.0120877 [ 10.06 %]\n", + "Output : 0.00222698 [ 1.85 %]\n", + "Levels : 0.000143539 [ 0.12 %]\n", + "Report : 4.22e-07 [ 0.00 %]\n", + "Balance : 2.47e-07 [ 0.00 %]\n", + "Adjust : 0.0787367 [ 65.52 %]\n", + "Total : 0.120163 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6639 399 91 7 4 0 2 \n", + "1 : 6638 421 69 10 3 0 1 \n", + "2 : 6690 378 61 9 3 1 0 \n", + "3 : 6655 389 80 12 3 3 0 \n", + "4 : 6641 389 95 10 3 3 1 \n", + "5 : 6652 391 82 8 6 1 2 \n", + "6 : 6677 372 77 9 4 2 1 \n", + "7 : 6672 384 75 9 0 1 1 \n", + "8 : 6655 393 81 5 1 2 5 \n", + "9 : 6673 383 70 9 6 1 0 \n", + "10 : 6694 345 87 9 4 1 2 \n", + "11 : 6683 365 79 9 3 1 2 \n", + "12 : 6670 383 73 8 3 1 4 \n", + "13 : 6637 402 98 11 2 3 1 \n", + "\n", + "T : 93276 5394 1118 125 45 20 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7597e-03 sec\n", + "--- Collate = 2.8594e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.225005e-06 < 1.562500e-03 [14]\n", + "--- Max DT=3.046290e-01 > 1.000000e-01 [71686]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71686/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=19.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000424292 [ 0.35 %]\n", + "Velocity : 0.00101008 [ 0.82 %]\n", + "Force : 0.0262005 [ 21.36 %]\n", + "Coefs : 0.0126235 [ 10.29 %]\n", + "Output : 0.0022417 [ 1.83 %]\n", + "Levels : 0.000149491 [ 0.12 %]\n", + "Report : 3.97e-07 [ 0.00 %]\n", + "Balance : 2.58e-07 [ 0.00 %]\n", + "Adjust : 0.079918 [ 65.15 %]\n", + "Total : 0.122661 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6639 398 92 7 5 0 1 \n", + "1 : 6637 421 68 11 3 1 1 \n", + "2 : 6689 378 62 10 2 1 0 \n", + "3 : 6657 384 86 8 5 2 0 \n", + "4 : 6644 387 93 12 1 2 3 \n", + "5 : 6651 390 84 11 3 1 2 \n", + "6 : 6677 372 76 9 5 1 2 \n", + "7 : 6670 386 75 9 0 0 2 \n", + "8 : 6657 392 81 4 2 2 4 \n", + "9 : 6673 384 71 8 4 2 0 \n", + "10 : 6692 348 86 9 3 2 2 \n", + "11 : 6682 365 79 11 1 2 2 \n", + "12 : 6669 384 75 4 4 4 2 \n", + "13 : 6636 402 99 9 5 1 2 \n", + "\n", + "T : 93273 5391 1127 122 43 21 23 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6716e-03 sec\n", + "--- Collate = 2.9588e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.412699e-04 < 1.562500e-03 [12]\n", + "--- Max DT=3.046332e-01 > 1.000000e-01 [71674]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71674/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=19.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000442432 [ 0.37 %]\n", + "Velocity : 0.0010305 [ 0.85 %]\n", + "Force : 0.0259656 [ 21.42 %]\n", + "Coefs : 0.0122273 [ 10.09 %]\n", + "Output : 0.00223057 [ 1.84 %]\n", + "Levels : 0.000156874 [ 0.13 %]\n", + "Report : 3.84e-07 [ 0.00 %]\n", + "Balance : 2.32e-07 [ 0.00 %]\n", + "Adjust : 0.0790644 [ 65.23 %]\n", + "Total : 0.12121 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6638 401 91 5 2 4 1 \n", + "1 : 6635 423 67 11 3 0 3 \n", + "2 : 6689 377 63 10 2 0 1 \n", + "3 : 6656 384 86 10 3 3 0 \n", + "4 : 6645 384 97 10 1 0 5 \n", + "5 : 6652 389 83 11 4 1 2 \n", + "6 : 6678 373 75 9 2 2 3 \n", + "7 : 6668 385 78 8 1 0 2 \n", + "8 : 6657 392 81 4 3 3 2 \n", + "9 : 6673 384 71 10 1 1 2 \n", + "10 : 6690 351 84 9 4 2 2 \n", + "11 : 6683 364 80 10 0 4 1 \n", + "12 : 6671 382 74 6 2 5 2 \n", + "13 : 6634 406 96 9 6 1 2 \n", + "\n", + "T : 93269 5395 1126 122 34 26 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7101e-03 sec\n", + "--- Collate = 3.0629e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.022971e-06 < 1.562500e-03 [14]\n", + "--- Max DT=3.046372e-01 > 1.000000e-01 [71665]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71665/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=19.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000439343 [ 0.36 %]\n", + "Velocity : 0.000978255 [ 0.81 %]\n", + "Force : 0.0257887 [ 21.24 %]\n", + "Coefs : 0.0122086 [ 10.06 %]\n", + "Output : 0.0022358 [ 1.84 %]\n", + "Levels : 0.000164851 [ 0.14 %]\n", + "Report : 2.56e-07 [ 0.00 %]\n", + "Balance : 2.33e-07 [ 0.00 %]\n", + "Adjust : 0.0795004 [ 65.48 %]\n", + "Total : 0.121405 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6640 399 91 5 3 3 1 \n", + "1 : 6637 421 67 11 1 3 2 \n", + "2 : 6688 378 64 9 2 0 1 \n", + "3 : 6656 384 85 7 6 2 2 \n", + "4 : 6645 383 98 10 1 2 3 \n", + "5 : 6652 390 82 9 6 2 1 \n", + "6 : 6677 374 75 9 2 1 4 \n", + "7 : 6665 389 78 7 1 1 1 \n", + "8 : 6657 394 78 6 2 4 1 \n", + "9 : 6671 385 71 11 1 1 2 \n", + "10 : 6690 349 89 6 4 2 2 \n", + "11 : 6684 363 80 10 2 1 2 \n", + "12 : 6674 378 75 7 2 2 4 \n", + "13 : 6634 405 98 8 6 1 2 \n", + "\n", + "T : 93270 5392 1131 115 39 25 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7163e-03 sec\n", + "--- Collate = 2.8222e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.348082e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.046410e-01 > 1.000000e-01 [71663]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71663/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=20] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000426032 [ 0.32 %]\n", + "Velocity : 0.00100586 [ 0.75 %]\n", + "Force : 0.0257866 [ 19.13 %]\n", + "Coefs : 0.012532 [ 9.30 %]\n", + "Output : 0.0150773 [ 11.18 %]\n", + "Levels : 0.000146841 [ 0.11 %]\n", + "Report : 7.86e-07 [ 0.00 %]\n", + "Balance : 4.66e-07 [ 0.00 %]\n", + "Adjust : 0.0797343 [ 59.15 %]\n", + "Total : 0.134803 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6642 397 93 4 2 2 2 \n", + "1 : 6639 419 67 9 3 1 4 \n", + "2 : 6690 376 63 10 2 0 1 \n", + "3 : 6656 384 86 7 2 5 2 \n", + "4 : 6645 383 97 10 2 2 3 \n", + "5 : 6652 389 83 10 6 0 2 \n", + "6 : 6675 375 76 8 3 2 3 \n", + "7 : 6666 387 78 8 1 1 1 \n", + "8 : 6657 396 75 7 5 2 0 \n", + "9 : 6669 388 69 12 1 0 3 \n", + "10 : 6692 348 87 9 3 1 2 \n", + "11 : 6685 362 80 10 2 1 2 \n", + "12 : 6675 376 77 5 4 1 4 \n", + "13 : 6634 405 100 7 4 3 1 \n", + "\n", + "T : 93277 5385 1131 116 40 21 30 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 12.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.9038e-03 sec\n", + "--- Collate = 3.2645e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.057371e-04 < 1.562500e-03 [17]\n", + "--- Max DT=3.046446e-01 > 1.000000e-01 [71676]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71676/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=20.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00032844 [ 0.27 %]\n", + "Velocity : 0.00119079 [ 0.98 %]\n", + "Force : 0.0256216 [ 21.01 %]\n", + "Coefs : 0.01218 [ 9.99 %]\n", + "Output : 0.00226486 [ 1.86 %]\n", + "Levels : 0.000155013 [ 0.13 %]\n", + "Report : 3e-07 [ 0.00 %]\n", + "Balance : 2.46e-07 [ 0.00 %]\n", + "Adjust : 0.0801024 [ 65.69 %]\n", + "Total : 0.121936 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6643 396 92 5 1 3 2 \n", + "1 : 6639 421 67 7 3 2 3 \n", + "2 : 6690 376 63 10 0 3 0 \n", + "3 : 6657 384 85 7 3 2 4 \n", + "4 : 6645 383 98 9 4 2 1 \n", + "5 : 6652 388 84 9 6 2 1 \n", + "6 : 6675 375 75 9 4 2 2 \n", + "7 : 6667 385 77 11 0 1 1 \n", + "8 : 6656 397 77 6 5 1 0 \n", + "9 : 6669 388 70 11 1 2 1 \n", + "10 : 6691 350 87 7 4 2 1 \n", + "11 : 6684 362 83 9 0 2 2 \n", + "12 : 6674 381 73 6 3 1 4 \n", + "13 : 6633 406 97 10 3 3 2 \n", + "\n", + "T : 93275 5392 1128 116 37 28 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6747e-03 sec\n", + "--- Collate = 3.2026e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.244273e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.046479e-01 > 1.000000e-01 [71668]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71668/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=20.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000419824 [ 0.34 %]\n", + "Velocity : 0.001063 [ 0.85 %]\n", + "Force : 0.0261241 [ 20.92 %]\n", + "Coefs : 0.0125753 [ 10.07 %]\n", + "Output : 0.00230618 [ 1.85 %]\n", + "Levels : 0.00020562 [ 0.16 %]\n", + "Report : 4.13e-07 [ 0.00 %]\n", + "Balance : 2.65e-07 [ 0.00 %]\n", + "Adjust : 0.0820963 [ 65.74 %]\n", + "Total : 0.124884 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6643 396 93 3 3 2 2 \n", + "1 : 6637 423 66 9 2 2 3 \n", + "2 : 6690 376 65 8 1 2 0 \n", + "3 : 6654 386 84 8 4 1 5 \n", + "4 : 6646 383 96 9 6 2 0 \n", + "5 : 6651 390 82 12 3 2 2 \n", + "6 : 6677 374 73 12 2 4 0 \n", + "7 : 6667 385 76 12 0 0 2 \n", + "8 : 6658 397 77 6 2 2 0 \n", + "9 : 6671 387 72 6 3 2 1 \n", + "10 : 6690 349 90 6 4 3 0 \n", + "11 : 6683 363 82 9 3 0 2 \n", + "12 : 6676 378 74 6 5 2 1 \n", + "13 : 6636 406 92 11 4 4 1 \n", + "\n", + "T : 93279 5393 1122 117 42 28 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7272e-03 sec\n", + "--- Collate = 3.1004e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.521765e-04 < 1.562500e-03 [7]\n", + "--- Max DT=3.046511e-01 > 1.000000e-01 [71667]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71667/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=20.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00046523 [ 0.37 %]\n", + "Velocity : 0.00110085 [ 0.89 %]\n", + "Force : 0.0268233 [ 21.56 %]\n", + "Coefs : 0.0126759 [ 10.19 %]\n", + "Output : 0.00233502 [ 1.88 %]\n", + "Levels : 0.000150652 [ 0.12 %]\n", + "Report : 2.66e-07 [ 0.00 %]\n", + "Balance : 2.39e-07 [ 0.00 %]\n", + "Adjust : 0.0807433 [ 64.91 %]\n", + "Total : 0.124387 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6644 396 91 4 3 2 2 \n", + "1 : 6635 423 69 8 2 4 1 \n", + "2 : 6692 375 68 4 1 1 1 \n", + "3 : 6653 388 84 8 4 0 5 \n", + "4 : 6644 385 96 9 6 1 1 \n", + "5 : 6648 394 80 14 2 3 1 \n", + "6 : 6675 376 77 8 4 2 0 \n", + "7 : 6667 385 76 11 0 2 1 \n", + "8 : 6658 396 75 10 2 1 0 \n", + "9 : 6671 386 74 6 3 1 1 \n", + "10 : 6690 350 88 7 5 1 1 \n", + "11 : 6684 364 81 8 3 1 1 \n", + "12 : 6674 381 74 6 4 3 0 \n", + "13 : 6639 404 92 10 4 4 1 \n", + "\n", + "T : 93274 5403 1125 113 43 26 16 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6147e-03 sec\n", + "--- Collate = 3.1349e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.819302e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.046541e-01 > 1.000000e-01 [71665]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71665/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=20.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000439577 [ 0.36 %]\n", + "Velocity : 0.00105169 [ 0.86 %]\n", + "Force : 0.0259564 [ 21.28 %]\n", + "Coefs : 0.0125544 [ 10.29 %]\n", + "Output : 0.00227075 [ 1.86 %]\n", + "Levels : 0.00014844 [ 0.12 %]\n", + "Report : 4.05e-07 [ 0.00 %]\n", + "Balance : 2.39e-07 [ 0.00 %]\n", + "Adjust : 0.0794792 [ 65.15 %]\n", + "Total : 0.121994 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6642 398 90 5 3 1 3 \n", + "1 : 6636 422 68 9 2 4 1 \n", + "2 : 6694 372 68 5 1 0 2 \n", + "3 : 6651 390 85 7 4 3 2 \n", + "4 : 6644 383 99 11 2 1 2 \n", + "5 : 6649 393 80 12 3 2 3 \n", + "6 : 6674 377 77 11 1 1 1 \n", + "7 : 6667 384 79 7 2 1 2 \n", + "8 : 6659 397 72 10 2 1 1 \n", + "9 : 6670 388 70 7 6 0 1 \n", + "10 : 6692 348 88 8 4 1 1 \n", + "11 : 6686 361 82 9 2 1 1 \n", + "12 : 6676 378 75 5 5 2 1 \n", + "13 : 6642 403 89 13 4 2 1 \n", + "\n", + "T : 93282 5394 1122 119 41 20 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5209e-03 sec\n", + "--- Collate = 3.1450e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.970742e-06 < 1.562500e-03 [11]\n", + "--- Max DT=3.046571e-01 > 1.000000e-01 [71665]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71665/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=20.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00042268 [ 0.34 %]\n", + "Velocity : 0.00100211 [ 0.81 %]\n", + "Force : 0.0264245 [ 21.46 %]\n", + "Coefs : 0.012565 [ 10.21 %]\n", + "Output : 0.00230329 [ 1.87 %]\n", + "Levels : 0.00014281 [ 0.12 %]\n", + "Report : 4.06e-07 [ 0.00 %]\n", + "Balance : 2.3e-07 [ 0.00 %]\n", + "Adjust : 0.0801662 [ 65.11 %]\n", + "Total : 0.12312 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6642 396 92 6 1 1 4 \n", + "1 : 6635 423 69 8 5 0 2 \n", + "2 : 6693 373 67 5 2 0 2 \n", + "3 : 6651 389 86 8 4 4 0 \n", + "4 : 6644 385 96 11 1 3 2 \n", + "5 : 6650 392 81 11 3 2 3 \n", + "6 : 6674 377 79 7 3 0 2 \n", + "7 : 6668 383 79 7 3 0 2 \n", + "8 : 6661 393 74 10 1 2 1 \n", + "9 : 6672 384 72 7 3 3 1 \n", + "10 : 6694 347 86 8 4 1 2 \n", + "11 : 6685 361 83 7 2 3 1 \n", + "12 : 6674 382 72 6 4 1 3 \n", + "13 : 6642 403 89 13 3 3 1 \n", + "\n", + "T : 93285 5388 1125 114 39 23 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5237e-03 sec\n", + "--- Collate = 3.0810e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.989991e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.046602e-01 > 1.000000e-01 [71655]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71655/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=20.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000419959 [ 0.34 %]\n", + "Velocity : 0.00102689 [ 0.82 %]\n", + "Force : 0.0260092 [ 20.88 %]\n", + "Coefs : 0.013233 [ 10.62 %]\n", + "Output : 0.00231248 [ 1.86 %]\n", + "Levels : 0.000176116 [ 0.14 %]\n", + "Report : 3.96e-07 [ 0.00 %]\n", + "Balance : 2.06e-07 [ 0.00 %]\n", + "Adjust : 0.0813047 [ 65.26 %]\n", + "Total : 0.124577 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6642 397 90 8 0 3 2 \n", + "1 : 6636 421 69 10 4 0 2 \n", + "2 : 6692 372 67 6 3 1 1 \n", + "3 : 6649 392 85 8 4 4 0 \n", + "4 : 6643 384 98 10 2 1 4 \n", + "5 : 6649 392 81 11 5 1 3 \n", + "6 : 6674 376 76 12 1 1 2 \n", + "7 : 6668 383 80 5 2 3 1 \n", + "8 : 6658 397 73 10 1 0 3 \n", + "9 : 6670 386 72 6 2 4 2 \n", + "10 : 6690 352 84 7 6 2 1 \n", + "11 : 6683 364 81 8 2 2 2 \n", + "12 : 6675 380 71 9 1 3 3 \n", + "13 : 6643 400 89 10 9 3 0 \n", + "\n", + "T : 93272 5396 1116 120 42 28 26 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.4957e-03 sec\n", + "--- Collate = 3.0849e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.009231e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.046634e-01 > 1.000000e-01 [71661]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71661/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=20.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000441277 [ 0.35 %]\n", + "Velocity : 0.00101526 [ 0.81 %]\n", + "Force : 0.0264215 [ 21.00 %]\n", + "Coefs : 0.0128302 [ 10.20 %]\n", + "Output : 0.00254097 [ 2.02 %]\n", + "Levels : 0.000151361 [ 0.12 %]\n", + "Report : 2.74e-07 [ 0.00 %]\n", + "Balance : 2.22e-07 [ 0.00 %]\n", + "Adjust : 0.0823157 [ 65.43 %]\n", + "Total : 0.125811 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6643 396 89 9 1 3 1 \n", + "1 : 6635 421 70 10 3 2 1 \n", + "2 : 6692 371 68 5 4 2 0 \n", + "3 : 6648 391 85 11 5 2 0 \n", + "4 : 6645 382 94 12 5 1 3 \n", + "5 : 6649 394 79 11 6 2 1 \n", + "6 : 6673 380 72 11 2 2 2 \n", + "7 : 6665 386 80 4 4 2 1 \n", + "8 : 6658 397 74 10 0 1 2 \n", + "9 : 6667 389 69 9 1 3 4 \n", + "10 : 6692 349 85 9 2 4 1 \n", + "11 : 6684 361 82 8 3 1 3 \n", + "12 : 6672 383 72 9 0 1 5 \n", + "13 : 6641 402 90 8 8 2 3 \n", + "\n", + "T : 93264 5402 1109 126 44 28 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5434e-03 sec\n", + "--- Collate = 3.1980e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.146840e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.046667e-01 > 1.000000e-01 [71646]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71646/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=20.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000430028 [ 0.35 %]\n", + "Velocity : 0.000982373 [ 0.81 %]\n", + "Force : 0.0259605 [ 21.42 %]\n", + "Coefs : 0.012125 [ 10.01 %]\n", + "Output : 0.00234709 [ 1.94 %]\n", + "Levels : 0.000144898 [ 0.12 %]\n", + "Report : 3.79e-07 [ 0.00 %]\n", + "Balance : 2.17e-07 [ 0.00 %]\n", + "Adjust : 0.0790945 [ 65.27 %]\n", + "Total : 0.121177 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6643 395 90 9 4 1 0 \n", + "1 : 6633 423 70 11 3 1 1 \n", + "2 : 6695 368 69 4 2 1 3 \n", + "3 : 6647 391 85 12 5 1 1 \n", + "4 : 6645 383 95 9 5 2 3 \n", + "5 : 6650 393 76 15 6 2 0 \n", + "6 : 6672 382 72 9 2 4 1 \n", + "7 : 6663 389 77 6 4 1 2 \n", + "8 : 6657 397 76 8 2 0 2 \n", + "9 : 6668 389 67 9 3 1 5 \n", + "10 : 6692 348 87 7 2 3 3 \n", + "11 : 6684 363 80 8 2 1 4 \n", + "12 : 6670 385 72 9 1 2 3 \n", + "13 : 6642 401 91 7 6 4 3 \n", + "\n", + "T : 93261 5407 1107 123 47 24 31 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5543e-03 sec\n", + "--- Collate = 3.1390e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.121472e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.046701e-01 > 1.000000e-01 [71641]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71641/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=20.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000420428 [ 0.35 %]\n", + "Velocity : 0.00099523 [ 0.82 %]\n", + "Force : 0.0256645 [ 21.11 %]\n", + "Coefs : 0.0120626 [ 9.92 %]\n", + "Output : 0.00231154 [ 1.90 %]\n", + "Levels : 0.000164546 [ 0.14 %]\n", + "Report : 5.3e-07 [ 0.00 %]\n", + "Balance : 2.13e-07 [ 0.00 %]\n", + "Adjust : 0.0798505 [ 65.69 %]\n", + "Total : 0.121559 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6647 392 88 11 3 1 0 \n", + "1 : 6632 424 68 13 3 1 1 \n", + "2 : 6695 368 69 5 0 2 3 \n", + "3 : 6648 390 86 12 5 0 1 \n", + "4 : 6647 381 93 12 4 4 1 \n", + "5 : 6649 393 78 14 5 2 1 \n", + "6 : 6670 383 72 10 3 0 4 \n", + "7 : 6662 392 77 4 4 1 2 \n", + "8 : 6661 393 76 7 3 2 0 \n", + "9 : 6668 390 67 7 3 3 4 \n", + "10 : 6693 347 86 6 3 2 5 \n", + "11 : 6683 364 80 7 3 2 3 \n", + "12 : 6673 381 74 9 0 3 2 \n", + "13 : 6639 404 92 5 6 6 2 \n", + "\n", + "T : 93267 5402 1106 122 45 29 29 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5597e-03 sec\n", + "--- Collate = 3.1620e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.928840e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.046736e-01 > 1.000000e-01 [71638]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71638/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=21] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000438738 [ 0.31 %]\n", + "Velocity : 0.00102894 [ 0.72 %]\n", + "Force : 0.0276674 [ 19.37 %]\n", + "Coefs : 0.0126345 [ 8.85 %]\n", + "Output : 0.0168287 [ 11.78 %]\n", + "Levels : 0.000158314 [ 0.11 %]\n", + "Report : 7.31e-07 [ 0.00 %]\n", + "Balance : 5.02e-07 [ 0.00 %]\n", + "Adjust : 0.0839713 [ 58.79 %]\n", + "Total : 0.142824 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6646 392 89 13 2 0 0 \n", + "1 : 6632 423 70 11 4 0 2 \n", + "2 : 6696 367 69 5 0 1 4 \n", + "3 : 6649 390 87 11 3 1 1 \n", + "4 : 6646 382 94 12 3 3 2 \n", + "5 : 6647 398 75 14 3 4 1 \n", + "6 : 6671 382 73 8 3 2 3 \n", + "7 : 6660 395 76 4 3 3 1 \n", + "8 : 6660 395 75 8 3 1 0 \n", + "9 : 6666 392 67 8 4 2 3 \n", + "10 : 6694 347 85 7 2 0 7 \n", + "11 : 6683 363 81 8 3 2 2 \n", + "12 : 6672 379 76 10 2 3 0 \n", + "13 : 6640 405 90 6 6 5 2 \n", + "\n", + "T : 93262 5410 1107 125 41 27 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7863e-03 sec\n", + "--- Collate = 3.2584e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.348285e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.046772e-01 > 1.000000e-01 [71641]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71641/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=21.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000352858 [ 0.29 %]\n", + "Velocity : 0.00101117 [ 0.84 %]\n", + "Force : 0.0262212 [ 21.69 %]\n", + "Coefs : 0.0115911 [ 9.59 %]\n", + "Output : 0.00223354 [ 1.85 %]\n", + "Levels : 0.00015208 [ 0.13 %]\n", + "Report : 5.58e-07 [ 0.00 %]\n", + "Balance : 2.13e-07 [ 0.00 %]\n", + "Adjust : 0.0792552 [ 65.55 %]\n", + "Total : 0.120909 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6647 392 87 13 3 0 0 \n", + "1 : 6631 423 73 9 3 2 1 \n", + "2 : 6698 367 67 5 0 2 3 \n", + "3 : 6646 395 85 11 2 3 0 \n", + "4 : 6646 382 95 10 5 1 3 \n", + "5 : 6647 397 77 13 2 2 4 \n", + "6 : 6670 384 72 7 4 1 4 \n", + "7 : 6661 393 76 6 2 3 1 \n", + "8 : 6661 389 81 7 3 0 1 \n", + "9 : 6666 392 67 8 4 3 2 \n", + "10 : 6695 346 83 9 2 1 6 \n", + "11 : 6682 365 79 10 3 2 1 \n", + "12 : 6670 380 77 9 6 0 0 \n", + "13 : 6639 406 92 4 8 0 5 \n", + "\n", + "T : 93259 5411 1111 121 47 20 31 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.8096e-03 sec\n", + "--- Collate = 3.3238e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.911416e-06 < 1.562500e-03 [14]\n", + "--- Max DT=3.046807e-01 > 1.000000e-01 [71636]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71636/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=21.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0004135 [ 0.34 %]\n", + "Velocity : 0.000969765 [ 0.81 %]\n", + "Force : 0.0259326 [ 21.57 %]\n", + "Coefs : 0.0122719 [ 10.21 %]\n", + "Output : 0.00217634 [ 1.81 %]\n", + "Levels : 0.000147124 [ 0.12 %]\n", + "Report : 4.14e-07 [ 0.00 %]\n", + "Balance : 2.06e-07 [ 0.00 %]\n", + "Adjust : 0.0782069 [ 65.06 %]\n", + "Total : 0.12021 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6646 393 88 12 3 0 0 \n", + "1 : 6632 422 74 8 1 4 1 \n", + "2 : 6698 368 66 4 2 2 2 \n", + "3 : 6645 396 86 11 2 2 0 \n", + "4 : 6648 380 96 10 3 2 3 \n", + "5 : 6649 394 78 13 2 3 3 \n", + "6 : 6670 384 74 5 4 3 2 \n", + "7 : 6661 394 76 5 2 2 2 \n", + "8 : 6660 390 80 9 1 1 1 \n", + "9 : 6666 393 65 10 5 1 2 \n", + "10 : 6694 348 83 9 1 4 3 \n", + "11 : 6682 362 84 9 2 3 0 \n", + "12 : 6671 379 78 8 5 0 1 \n", + "13 : 6637 407 94 4 5 1 6 \n", + "\n", + "T : 93259 5410 1122 117 38 28 26 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7971e-03 sec\n", + "--- Collate = 3.1063e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.073410e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.046842e-01 > 1.000000e-01 [71630]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71630/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=21.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000424412 [ 0.35 %]\n", + "Velocity : 0.000965697 [ 0.79 %]\n", + "Force : 0.0259218 [ 21.25 %]\n", + "Coefs : 0.0121189 [ 9.94 %]\n", + "Output : 0.00219438 [ 1.80 %]\n", + "Levels : 0.000168759 [ 0.14 %]\n", + "Report : 3.12e-07 [ 0.00 %]\n", + "Balance : 2.42e-07 [ 0.00 %]\n", + "Adjust : 0.0800943 [ 65.66 %]\n", + "Total : 0.121981 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6643 397 88 12 2 0 0 \n", + "1 : 6635 419 74 8 2 2 2 \n", + "2 : 6698 368 66 4 3 1 2 \n", + "3 : 6645 397 86 10 1 2 1 \n", + "4 : 6648 382 94 8 5 2 3 \n", + "5 : 6651 392 79 11 4 1 4 \n", + "6 : 6671 382 73 8 3 4 1 \n", + "7 : 6659 396 76 6 1 1 3 \n", + "8 : 6659 390 81 10 0 1 1 \n", + "9 : 6663 396 63 12 5 1 2 \n", + "10 : 6694 350 81 9 3 4 1 \n", + "11 : 6681 363 84 10 3 0 1 \n", + "12 : 6668 381 76 13 3 0 1 \n", + "13 : 6634 410 93 8 3 1 5 \n", + "\n", + "T : 93249 5423 1114 129 38 20 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.9105e-03 sec\n", + "--- Collate = 3.2333e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.035564e-04 < 1.562500e-03 [15]\n", + "--- Max DT=3.046877e-01 > 1.000000e-01 [71624]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71624/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=21.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000422833 [ 0.34 %]\n", + "Velocity : 0.00102291 [ 0.83 %]\n", + "Force : 0.0258759 [ 21.05 %]\n", + "Coefs : 0.0119405 [ 9.71 %]\n", + "Output : 0.00226668 [ 1.84 %]\n", + "Levels : 0.00015046 [ 0.12 %]\n", + "Report : 2.93e-07 [ 0.00 %]\n", + "Balance : 2.38e-07 [ 0.00 %]\n", + "Adjust : 0.0811313 [ 65.99 %]\n", + "Total : 0.122949 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6641 396 92 11 1 1 0 \n", + "1 : 6634 419 77 4 4 2 2 \n", + "2 : 6698 368 67 3 4 2 0 \n", + "3 : 6645 396 89 8 1 1 2 \n", + "4 : 6648 383 93 9 5 2 2 \n", + "5 : 6651 391 79 11 6 2 2 \n", + "6 : 6672 380 74 9 3 2 2 \n", + "7 : 6657 397 79 5 0 1 3 \n", + "8 : 6658 391 81 10 0 0 2 \n", + "9 : 6664 395 64 12 3 1 3 \n", + "10 : 6694 351 83 6 3 3 2 \n", + "11 : 6680 364 84 11 2 0 1 \n", + "12 : 6667 384 76 12 2 0 1 \n", + "13 : 6635 410 92 8 3 3 3 \n", + "\n", + "T : 93244 5425 1130 119 37 20 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.8358e-03 sec\n", + "--- Collate = 3.2626e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.295585e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.046909e-01 > 1.000000e-01 [71609]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71609/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=21.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00048124 [ 0.38 %]\n", + "Velocity : 0.00103945 [ 0.83 %]\n", + "Force : 0.0268217 [ 21.31 %]\n", + "Coefs : 0.0123247 [ 9.79 %]\n", + "Output : 0.00228885 [ 1.82 %]\n", + "Levels : 0.000149185 [ 0.12 %]\n", + "Report : 2.86e-07 [ 0.00 %]\n", + "Balance : 2.23e-07 [ 0.00 %]\n", + "Adjust : 0.082664 [ 65.68 %]\n", + "Total : 0.125861 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6641 395 92 12 1 1 0 \n", + "1 : 6638 414 77 7 3 1 2 \n", + "2 : 6698 367 69 4 4 0 0 \n", + "3 : 6646 396 90 5 2 1 2 \n", + "4 : 6648 384 90 13 3 3 1 \n", + "5 : 6653 389 79 11 6 3 1 \n", + "6 : 6672 379 75 11 1 3 1 \n", + "7 : 6656 398 79 5 1 1 2 \n", + "8 : 6657 393 79 11 0 1 1 \n", + "9 : 6666 393 64 11 4 1 3 \n", + "10 : 6691 358 79 6 6 0 2 \n", + "11 : 6679 365 84 12 1 0 1 \n", + "12 : 6668 384 75 11 2 2 0 \n", + "13 : 6637 408 91 10 4 1 3 \n", + "\n", + "T : 93250 5423 1123 129 38 18 19 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.8533e-03 sec\n", + "--- Collate = 3.4435e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.434462e-04 < 1.562500e-03 [4]\n", + "--- Max DT=3.046943e-01 > 1.000000e-01 [71590]\n", + "----------------------------------------------------------------------\n", + " Component | low: 4/100000\n", + " Component | high: 71590/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=21.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000435614 [ 0.36 %]\n", + "Velocity : 0.00103449 [ 0.85 %]\n", + "Force : 0.0258418 [ 21.28 %]\n", + "Coefs : 0.0120304 [ 9.91 %]\n", + "Output : 0.00231482 [ 1.91 %]\n", + "Levels : 0.000158207 [ 0.13 %]\n", + "Report : 5.68e-07 [ 0.00 %]\n", + "Balance : 2.25e-07 [ 0.00 %]\n", + "Adjust : 0.0795215 [ 65.49 %]\n", + "Total : 0.121429 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6637 400 90 11 3 0 1 \n", + "1 : 6639 412 77 7 3 3 1 \n", + "2 : 6697 369 67 6 3 0 0 \n", + "3 : 6646 394 92 5 1 1 3 \n", + "4 : 6648 384 87 17 3 2 1 \n", + "5 : 6652 389 79 16 3 2 1 \n", + "6 : 6671 380 75 11 2 1 2 \n", + "7 : 6658 394 80 6 2 0 2 \n", + "8 : 6658 391 83 7 2 0 1 \n", + "9 : 6667 392 66 10 2 3 2 \n", + "10 : 6689 362 77 7 4 1 2 \n", + "11 : 6680 364 84 10 3 1 0 \n", + "12 : 6670 383 75 10 1 2 1 \n", + "13 : 6637 409 90 11 3 1 3 \n", + "\n", + "T : 93249 5423 1122 134 35 17 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.8479e-03 sec\n", + "--- Collate = 3.2760e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.020562e-04 < 1.562500e-03 [8]\n", + "--- Max DT=3.046977e-01 > 1.000000e-01 [71597]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71597/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=21.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000436058 [ 0.36 %]\n", + "Velocity : 0.00102667 [ 0.84 %]\n", + "Force : 0.0262399 [ 21.40 %]\n", + "Coefs : 0.0122176 [ 9.96 %]\n", + "Output : 0.00230189 [ 1.88 %]\n", + "Levels : 0.000166347 [ 0.14 %]\n", + "Report : 3.92e-07 [ 0.00 %]\n", + "Balance : 2.36e-07 [ 0.00 %]\n", + "Adjust : 0.0801394 [ 65.36 %]\n", + "Total : 0.12262 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6634 402 92 10 2 1 1 \n", + "1 : 6638 412 76 11 1 3 1 \n", + "2 : 6698 370 65 6 2 1 0 \n", + "3 : 6644 396 91 6 1 1 3 \n", + "4 : 6647 385 89 15 2 2 2 \n", + "5 : 6651 390 79 16 4 1 1 \n", + "6 : 6669 381 78 7 5 1 1 \n", + "7 : 6659 396 78 4 2 1 2 \n", + "8 : 6656 392 83 7 3 1 0 \n", + "9 : 6664 397 65 9 3 2 2 \n", + "10 : 6687 363 79 7 4 1 1 \n", + "11 : 6682 362 83 10 4 1 0 \n", + "12 : 6671 383 76 8 2 1 1 \n", + "13 : 6636 406 95 8 4 3 2 \n", + "\n", + "T : 93236 5435 1129 124 39 20 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.9173e-03 sec\n", + "--- Collate = 3.0080e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.244157e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.047011e-01 > 1.000000e-01 [71598]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71598/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=21.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000435891 [ 0.36 %]\n", + "Velocity : 0.00101994 [ 0.83 %]\n", + "Force : 0.0259419 [ 21.18 %]\n", + "Coefs : 0.0120105 [ 9.81 %]\n", + "Output : 0.00228621 [ 1.87 %]\n", + "Levels : 0.000157666 [ 0.13 %]\n", + "Report : 4.04e-07 [ 0.00 %]\n", + "Balance : 2.23e-07 [ 0.00 %]\n", + "Adjust : 0.0805408 [ 65.76 %]\n", + "Total : 0.122485 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6632 405 93 8 2 1 1 \n", + "1 : 6639 411 77 9 4 1 1 \n", + "2 : 6698 371 64 6 2 0 1 \n", + "3 : 6640 401 91 5 2 2 1 \n", + "4 : 6648 386 88 12 4 2 2 \n", + "5 : 6649 392 79 17 3 1 1 \n", + "6 : 6669 381 77 7 7 1 0 \n", + "7 : 6659 397 77 3 1 3 2 \n", + "8 : 6657 391 83 8 3 0 0 \n", + "9 : 6664 398 63 9 4 3 1 \n", + "10 : 6687 365 74 13 1 1 1 \n", + "11 : 6681 363 82 12 3 0 1 \n", + "12 : 6669 387 73 7 4 0 2 \n", + "13 : 6636 406 97 5 6 2 2 \n", + "\n", + "T : 93228 5454 1118 121 46 17 16 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.8429e-03 sec\n", + "--- Collate = 3.1946e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.919308e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.047045e-01 > 1.000000e-01 [71602]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71602/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=21.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000479293 [ 0.38 %]\n", + "Velocity : 0.00112474 [ 0.90 %]\n", + "Force : 0.0270712 [ 21.74 %]\n", + "Coefs : 0.0125324 [ 10.07 %]\n", + "Output : 0.00228194 [ 1.83 %]\n", + "Levels : 0.000143111 [ 0.11 %]\n", + "Report : 3.92e-07 [ 0.00 %]\n", + "Balance : 2.37e-07 [ 0.00 %]\n", + "Adjust : 0.0807654 [ 64.87 %]\n", + "Total : 0.124503 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6630 407 92 9 1 2 1 \n", + "1 : 6635 415 77 10 3 2 0 \n", + "2 : 6697 375 62 4 2 1 1 \n", + "3 : 6642 401 89 4 4 1 1 \n", + "4 : 6647 387 88 12 4 2 2 \n", + "5 : 6648 393 77 19 2 2 1 \n", + "6 : 6668 382 78 8 4 1 1 \n", + "7 : 6658 399 76 4 0 1 4 \n", + "8 : 6660 387 82 10 3 0 0 \n", + "9 : 6668 395 63 10 3 0 3 \n", + "10 : 6688 364 74 13 2 0 1 \n", + "11 : 6679 365 83 11 3 0 1 \n", + "12 : 6668 390 71 5 6 1 1 \n", + "13 : 6637 404 97 6 6 2 2 \n", + "\n", + "T : 93225 5464 1109 125 43 15 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7800e-03 sec\n", + "--- Collate = 2.7662e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.829806e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.047079e-01 > 1.000000e-01 [71598]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71598/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=22] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000423832 [ 0.32 %]\n", + "Velocity : 0.000978683 [ 0.74 %]\n", + "Force : 0.0258511 [ 19.47 %]\n", + "Coefs : 0.0122444 [ 9.22 %]\n", + "Output : 0.0133229 [ 10.03 %]\n", + "Levels : 0.000169574 [ 0.13 %]\n", + "Report : 6.52e-07 [ 0.00 %]\n", + "Balance : 2.81e-07 [ 0.00 %]\n", + "Adjust : 0.0796956 [ 60.02 %]\n", + "Total : 0.13278 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6630 407 91 10 1 1 2 \n", + "1 : 6633 417 77 9 5 1 0 \n", + "2 : 6697 376 59 5 3 0 2 \n", + "3 : 6641 403 89 5 2 2 0 \n", + "4 : 6645 389 89 11 4 2 2 \n", + "5 : 6647 394 79 17 1 2 2 \n", + "6 : 6667 384 78 7 2 2 2 \n", + "7 : 6658 398 77 4 0 2 3 \n", + "8 : 6661 384 84 11 1 1 0 \n", + "9 : 6668 393 67 8 1 3 2 \n", + "10 : 6690 361 77 10 3 1 0 \n", + "11 : 6679 367 81 11 2 1 1 \n", + "12 : 6668 391 70 6 6 0 1 \n", + "13 : 6636 404 98 9 3 2 2 \n", + "\n", + "T : 93220 5468 1116 123 34 20 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.9063e-03 sec\n", + "--- Collate = 3.0628e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.123301e-06 < 1.562500e-03 [9]\n", + "--- Max DT=3.047113e-01 > 1.000000e-01 [71595]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71595/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=22.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000168015 [ 0.15 %]\n", + "Velocity : 0.000507427 [ 0.44 %]\n", + "Force : 0.0252535 [ 21.88 %]\n", + "Coefs : 0.0122021 [ 10.57 %]\n", + "Output : 0.000912638 [ 0.79 %]\n", + "Levels : 0.000112446 [ 0.10 %]\n", + "Report : 4.66e-07 [ 0.00 %]\n", + "Balance : 1.75e-07 [ 0.00 %]\n", + "Adjust : 0.07619 [ 66.01 %]\n", + "Total : 0.115424 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6631 406 91 9 1 0 4 \n", + "1 : 6630 421 75 10 5 1 0 \n", + "2 : 6695 378 59 4 2 3 1 \n", + "3 : 6641 404 88 5 2 2 0 \n", + "4 : 6644 390 89 8 8 1 2 \n", + "5 : 6645 396 80 15 3 1 2 \n", + "6 : 6669 384 76 6 2 3 2 \n", + "7 : 6657 398 77 5 1 1 3 \n", + "8 : 6660 383 85 12 1 0 1 \n", + "9 : 6670 391 66 9 2 2 2 \n", + "10 : 6688 361 80 8 3 2 0 \n", + "11 : 6682 364 79 13 2 2 0 \n", + "12 : 6668 393 68 6 5 2 0 \n", + "13 : 6637 402 100 8 3 3 1 \n", + "\n", + "T : 93217 5471 1113 118 40 23 18 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7884e-03 sec\n", + "--- Collate = 2.7425e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.884613e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.047148e-01 > 1.000000e-01 [71591]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71591/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=22.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000154665 [ 0.13 %]\n", + "Velocity : 0.000422809 [ 0.36 %]\n", + "Force : 0.0252823 [ 21.41 %]\n", + "Coefs : 0.0124064 [ 10.51 %]\n", + "Output : 0.00102949 [ 0.87 %]\n", + "Levels : 9.0851e-05 [ 0.08 %]\n", + "Report : 4.45e-07 [ 0.00 %]\n", + "Balance : 1.78e-07 [ 0.00 %]\n", + "Adjust : 0.0786073 [ 66.57 %]\n", + "Total : 0.11808 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6631 406 90 10 1 1 3 \n", + "1 : 6631 422 73 9 5 1 1 \n", + "2 : 6694 378 60 3 2 3 2 \n", + "3 : 6641 404 88 5 2 2 0 \n", + "4 : 6642 392 89 9 3 4 3 \n", + "5 : 6647 394 81 14 3 0 3 \n", + "6 : 6670 382 77 7 1 1 4 \n", + "7 : 6657 399 75 5 3 3 0 \n", + "8 : 6661 380 88 11 1 0 1 \n", + "9 : 6671 389 67 10 1 2 2 \n", + "10 : 6686 364 79 9 2 1 1 \n", + "11 : 6681 363 82 12 3 0 1 \n", + "12 : 6668 393 66 10 3 2 0 \n", + "13 : 6635 405 99 9 3 2 1 \n", + "\n", + "T : 93215 5471 1114 123 33 22 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7710e-03 sec\n", + "--- Collate = 2.9827e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.710192e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.047182e-01 > 1.000000e-01 [71580]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71580/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=22.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000174353 [ 0.15 %]\n", + "Velocity : 0.000441687 [ 0.38 %]\n", + "Force : 0.0253489 [ 21.59 %]\n", + "Coefs : 0.0126501 [ 10.77 %]\n", + "Output : 0.0010706 [ 0.91 %]\n", + "Levels : 9.8081e-05 [ 0.08 %]\n", + "Report : 3.26e-07 [ 0.00 %]\n", + "Balance : 1.98e-07 [ 0.00 %]\n", + "Adjust : 0.0775313 [ 66.04 %]\n", + "Total : 0.117406 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6631 406 89 11 2 2 1 \n", + "1 : 6631 420 75 8 6 1 1 \n", + "2 : 6694 376 62 3 2 2 3 \n", + "3 : 6645 399 88 6 2 0 2 \n", + "4 : 6642 390 94 6 3 4 3 \n", + "5 : 6647 394 83 13 1 4 0 \n", + "6 : 6672 380 76 7 2 2 3 \n", + "7 : 6657 399 74 6 6 0 0 \n", + "8 : 6661 381 87 10 2 0 1 \n", + "9 : 6669 393 64 11 2 1 2 \n", + "10 : 6688 362 78 10 3 0 1 \n", + "11 : 6679 368 78 12 3 1 1 \n", + "12 : 6668 393 68 10 1 0 2 \n", + "13 : 6634 407 98 10 3 1 1 \n", + "\n", + "T : 93218 5468 1114 123 38 18 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7469e-03 sec\n", + "--- Collate = 2.8829e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.598541e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.047214e-01 > 1.000000e-01 [71563]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71563/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=22.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000160473 [ 0.14 %]\n", + "Velocity : 0.00041797 [ 0.36 %]\n", + "Force : 0.0251657 [ 21.73 %]\n", + "Coefs : 0.0126576 [ 10.93 %]\n", + "Output : 0.000860653 [ 0.74 %]\n", + "Levels : 0.000146381 [ 0.13 %]\n", + "Report : 5.18e-07 [ 0.00 %]\n", + "Balance : 2.26e-07 [ 0.00 %]\n", + "Adjust : 0.0763097 [ 65.90 %]\n", + "Total : 0.115793 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6632 403 91 10 3 2 1 \n", + "1 : 6628 423 77 6 5 1 2 \n", + "2 : 6693 376 63 3 3 1 3 \n", + "3 : 6647 396 89 8 0 0 2 \n", + "4 : 6645 388 91 7 5 2 4 \n", + "5 : 6646 394 85 12 1 3 1 \n", + "6 : 6671 382 75 8 3 0 3 \n", + "7 : 6658 399 72 8 4 1 0 \n", + "8 : 6664 379 87 8 3 1 0 \n", + "9 : 6667 397 63 10 3 1 1 \n", + "10 : 6688 361 78 11 1 2 1 \n", + "11 : 6680 368 78 8 5 3 0 \n", + "12 : 6670 390 70 8 2 0 2 \n", + "13 : 6631 411 97 12 2 0 1 \n", + "\n", + "T : 93220 5467 1116 119 40 17 21 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.7858e-03 sec\n", + "--- Collate = 2.9120e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.660878e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.047244e-01 > 1.000000e-01 [71564]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71564/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=22.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000161691 [ 0.14 %]\n", + "Velocity : 0.000442111 [ 0.37 %]\n", + "Force : 0.0256852 [ 21.73 %]\n", + "Coefs : 0.0127487 [ 10.79 %]\n", + "Output : 0.001046 [ 0.88 %]\n", + "Levels : 0.000112385 [ 0.10 %]\n", + "Report : 4.24e-07 [ 0.00 %]\n", + "Balance : 2.22e-07 [ 0.00 %]\n", + "Adjust : 0.0779317 [ 65.93 %]\n", + "Total : 0.118207 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6633 403 90 11 2 1 2 \n", + "1 : 6628 425 73 8 2 4 2 \n", + "2 : 6693 375 64 2 4 2 2 \n", + "3 : 6648 396 87 9 0 0 2 \n", + "4 : 6644 391 88 8 3 5 3 \n", + "5 : 6642 398 85 12 3 1 1 \n", + "6 : 6673 381 74 8 3 3 0 \n", + "7 : 6660 396 73 9 3 0 1 \n", + "8 : 6661 386 83 8 3 1 0 \n", + "9 : 6668 395 64 10 2 3 0 \n", + "10 : 6688 360 78 12 1 2 1 \n", + "11 : 6680 367 79 9 6 0 1 \n", + "12 : 6669 391 67 12 1 0 2 \n", + "13 : 6631 410 97 13 2 0 1 \n", + "\n", + "T : 93218 5474 1102 131 35 22 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.8112e-03 sec\n", + "--- Collate = 2.8791e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.149086e-04 < 1.562500e-03 [6]\n", + "--- Max DT=3.047271e-01 > 1.000000e-01 [71569]\n", + "----------------------------------------------------------------------\n", + " Component | low: 6/100000\n", + " Component | high: 71569/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=22.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000153289 [ 0.13 %]\n", + "Velocity : 0.000409988 [ 0.35 %]\n", + "Force : 0.0253932 [ 21.71 %]\n", + "Coefs : 0.0127433 [ 10.90 %]\n", + "Output : 0.000970454 [ 0.83 %]\n", + "Levels : 0.000121349 [ 0.10 %]\n", + "Report : 6.09e-07 [ 0.00 %]\n", + "Balance : 2.74e-07 [ 0.00 %]\n", + "Adjust : 0.0770685 [ 65.91 %]\n", + "Total : 0.116938 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6631 407 89 9 3 2 1 \n", + "1 : 6628 425 74 7 3 1 4 \n", + "2 : 6693 375 65 3 2 3 1 \n", + "3 : 6646 399 87 8 0 2 0 \n", + "4 : 6644 392 87 8 4 4 3 \n", + "5 : 6642 397 85 13 4 0 1 \n", + "6 : 6673 381 74 9 3 2 0 \n", + "7 : 6661 396 72 10 2 0 1 \n", + "8 : 6660 387 84 7 2 2 0 \n", + "9 : 6669 396 64 8 4 1 0 \n", + "10 : 6687 362 75 14 1 1 2 \n", + "11 : 6679 367 81 8 4 1 2 \n", + "12 : 6671 389 67 9 4 2 0 \n", + "13 : 6631 410 100 10 3 0 0 \n", + "\n", + "T : 93215 5483 1104 123 39 21 15 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 4.8348e-03 sec\n", + "--- Collate = 3.5505e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.837569e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.047296e-01 > 1.000000e-01 [71559]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71559/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=22.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000160675 [ 0.14 %]\n", + "Velocity : 0.0004122 [ 0.35 %]\n", + "Force : 0.0257898 [ 22.02 %]\n", + "Coefs : 0.0125854 [ 10.75 %]\n", + "Output : 0.000992773 [ 0.85 %]\n", + "Levels : 0.000113128 [ 0.10 %]\n", + "Report : 4.7e-07 [ 0.00 %]\n", + "Balance : 3.06e-07 [ 0.00 %]\n", + "Adjust : 0.0769796 [ 65.73 %]\n", + "Total : 0.11711 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6628 411 87 8 5 1 2 \n", + "1 : 6630 423 75 7 2 2 3 \n", + "2 : 6691 376 66 3 4 1 1 \n", + "3 : 6646 401 85 8 2 0 0 \n", + "4 : 6643 394 85 11 4 2 3 \n", + "5 : 6642 397 88 9 5 1 0 \n", + "6 : 6674 380 75 10 2 0 1 \n", + "7 : 6663 394 72 9 3 0 1 \n", + "8 : 6657 392 82 6 2 2 1 \n", + "9 : 6669 395 66 9 1 1 1 \n", + "10 : 6688 361 77 11 3 0 2 \n", + "11 : 6678 369 78 9 4 1 3 \n", + "12 : 6673 387 68 6 7 0 1 \n", + "13 : 6627 414 100 12 1 0 0 \n", + "\n", + "T : 93209 5494 1104 118 45 11 19 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.8096e-03 sec\n", + "--- Collate = 3.2940e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.416040e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.047317e-01 > 1.000000e-01 [71563]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71563/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=22.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000169708 [ 0.14 %]\n", + "Velocity : 0.000476808 [ 0.41 %]\n", + "Force : 0.0254557 [ 21.75 %]\n", + "Coefs : 0.012668 [ 10.82 %]\n", + "Output : 0.000910418 [ 0.78 %]\n", + "Levels : 0.000115287 [ 0.10 %]\n", + "Report : 7.26e-07 [ 0.00 %]\n", + "Balance : 1.4e-07 [ 0.00 %]\n", + "Adjust : 0.0771694 [ 65.93 %]\n", + "Total : 0.117047 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6627 412 85 8 6 3 1 \n", + "1 : 6628 425 75 8 2 2 2 \n", + "2 : 6692 376 65 4 3 1 1 \n", + "3 : 6652 397 84 6 3 0 0 \n", + "4 : 6642 395 83 15 3 1 3 \n", + "5 : 6639 400 88 10 4 1 0 \n", + "6 : 6676 377 74 11 2 1 1 \n", + "7 : 6664 396 70 7 2 3 0 \n", + "8 : 6660 390 80 7 2 1 2 \n", + "9 : 6670 395 66 9 0 0 2 \n", + "10 : 6688 361 79 9 3 0 2 \n", + "11 : 6678 369 79 8 4 2 2 \n", + "12 : 6675 383 70 7 5 1 1 \n", + "13 : 6628 412 101 10 3 0 0 \n", + "\n", + "T : 93219 5488 1099 119 42 16 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.8348e-03 sec\n", + "--- Collate = 2.9520e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.659796e-04 < 1.562500e-03 [5]\n", + "--- Max DT=3.047336e-01 > 1.000000e-01 [71572]\n", + "----------------------------------------------------------------------\n", + " Component | low: 5/100000\n", + " Component | high: 71572/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=22.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000161651 [ 0.14 %]\n", + "Velocity : 0.000437249 [ 0.37 %]\n", + "Force : 0.0256532 [ 21.68 %]\n", + "Coefs : 0.0129885 [ 10.98 %]\n", + "Output : 0.000978229 [ 0.83 %]\n", + "Levels : 0.000108475 [ 0.09 %]\n", + "Report : 4.71e-07 [ 0.00 %]\n", + "Balance : 2.03e-07 [ 0.00 %]\n", + "Adjust : 0.0779345 [ 65.86 %]\n", + "Total : 0.118341 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6627 412 85 9 3 4 2 \n", + "1 : 6627 425 75 10 2 3 0 \n", + "2 : 6691 377 64 5 3 2 0 \n", + "3 : 6653 397 83 8 1 0 0 \n", + "4 : 6643 392 85 13 5 2 2 \n", + "5 : 6640 398 89 10 4 1 0 \n", + "6 : 6676 378 74 11 1 0 2 \n", + "7 : 6664 394 75 4 1 2 2 \n", + "8 : 6658 392 77 11 1 1 2 \n", + "9 : 6669 395 67 9 0 0 2 \n", + "10 : 6688 362 79 8 3 2 0 \n", + "11 : 6677 369 80 10 2 2 2 \n", + "12 : 6674 383 73 7 2 2 1 \n", + "13 : 6629 412 101 7 4 0 1 \n", + "\n", + "T : 93216 5486 1107 122 32 21 16 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.8733e-03 sec\n", + "--- Collate = 2.6357e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.371908e-06 < 1.562500e-03 [10]\n", + "--- Max DT=3.047354e-01 > 1.000000e-01 [71562]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71562/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=23] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000173431 [ 0.14 %]\n", + "Velocity : 0.000520455 [ 0.41 %]\n", + "Force : 0.0251673 [ 19.92 %]\n", + "Coefs : 0.0124333 [ 9.84 %]\n", + "Output : 0.0114472 [ 9.06 %]\n", + "Levels : 9.5312e-05 [ 0.08 %]\n", + "Report : 7.24e-07 [ 0.00 %]\n", + "Balance : 2.88e-07 [ 0.00 %]\n", + "Adjust : 0.0764294 [ 60.49 %]\n", + "Total : 0.126348 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6626 412 87 7 5 2 3 \n", + "1 : 6628 424 74 12 3 1 0 \n", + "2 : 6692 379 61 7 1 1 1 \n", + "3 : 6655 398 79 9 1 0 0 \n", + "4 : 6641 395 85 12 2 5 2 \n", + "5 : 6641 396 91 10 1 2 1 \n", + "6 : 6676 377 75 10 1 2 1 \n", + "7 : 6663 395 75 4 1 2 2 \n", + "8 : 6658 393 77 10 1 2 1 \n", + "9 : 6668 398 64 10 0 1 1 \n", + "10 : 6688 360 82 9 1 2 0 \n", + "11 : 6676 370 80 11 2 2 1 \n", + "12 : 6676 379 74 8 2 1 2 \n", + "13 : 6630 413 100 6 2 2 1 \n", + "\n", + "T : 93218 5489 1104 125 23 25 16 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.9509e-03 sec\n", + "--- Collate = 3.1634e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.417953e-04 < 1.562500e-03 [10]\n", + "--- Max DT=3.047372e-01 > 1.000000e-01 [71550]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71550/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=23.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000179787 [ 0.15 %]\n", + "Velocity : 0.00050831 [ 0.43 %]\n", + "Force : 0.0255264 [ 21.62 %]\n", + "Coefs : 0.0124026 [ 10.50 %]\n", + "Output : 0.000992525 [ 0.84 %]\n", + "Levels : 0.00013066 [ 0.11 %]\n", + "Report : 4.85e-07 [ 0.00 %]\n", + "Balance : 2.06e-07 [ 0.00 %]\n", + "Adjust : 0.078259 [ 66.28 %]\n", + "Total : 0.118078 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6629 409 87 7 5 2 3 \n", + "1 : 6627 427 72 12 4 0 0 \n", + "2 : 6692 379 62 7 0 1 1 \n", + "3 : 6657 396 79 9 1 0 0 \n", + "4 : 6642 394 85 11 5 2 3 \n", + "5 : 6641 396 89 13 0 1 2 \n", + "6 : 6676 377 75 10 2 1 1 \n", + "7 : 6663 397 76 1 1 1 3 \n", + "8 : 6655 394 80 8 4 1 0 \n", + "9 : 6666 400 64 9 2 1 0 \n", + "10 : 6689 358 82 9 2 1 1 \n", + "11 : 6678 366 83 9 3 1 2 \n", + "12 : 6677 376 77 7 2 1 2 \n", + "13 : 6629 414 97 9 1 2 2 \n", + "\n", + "T : 93221 5483 1108 121 32 15 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 5.4152e-03 sec\n", + "--- Collate = 3.1204e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.762764e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.047387e-01 > 1.000000e-01 [71563]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71563/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=23.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000164469 [ 0.14 %]\n", + "Velocity : 0.000462558 [ 0.39 %]\n", + "Force : 0.0252489 [ 21.11 %]\n", + "Coefs : 0.0126846 [ 10.61 %]\n", + "Output : 0.00122001 [ 1.02 %]\n", + "Levels : 0.000142648 [ 0.12 %]\n", + "Report : 6.24e-07 [ 0.00 %]\n", + "Balance : 2.78e-07 [ 0.00 %]\n", + "Adjust : 0.0795893 [ 66.55 %]\n", + "Total : 0.119596 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6628 410 87 7 6 2 2 \n", + "1 : 6625 428 75 9 5 0 0 \n", + "2 : 6693 376 63 8 0 0 2 \n", + "3 : 6658 395 79 9 1 0 0 \n", + "4 : 6643 393 85 11 3 4 3 \n", + "5 : 6642 395 88 14 0 1 2 \n", + "6 : 6677 376 77 8 2 1 1 \n", + "7 : 6664 396 75 3 0 3 1 \n", + "8 : 6653 400 75 10 4 0 0 \n", + "9 : 6668 397 65 8 2 2 0 \n", + "10 : 6688 361 78 12 0 0 3 \n", + "11 : 6680 364 83 8 5 1 1 \n", + "12 : 6676 378 76 6 3 1 2 \n", + "13 : 6629 414 97 10 0 2 2 \n", + "\n", + "T : 93224 5483 1103 123 31 17 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.2070e-03 sec\n", + "--- Collate = 4.4908e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.483691e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.047403e-01 > 1.000000e-01 [71562]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71562/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=23.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000194208 [ 0.12 %]\n", + "Velocity : 0.000633436 [ 0.39 %]\n", + "Force : 0.0334478 [ 20.69 %]\n", + "Coefs : 0.0156733 [ 9.70 %]\n", + "Output : 0.00152486 [ 0.94 %]\n", + "Levels : 0.000167387 [ 0.10 %]\n", + "Report : 6.78e-07 [ 0.00 %]\n", + "Balance : 3.89e-07 [ 0.00 %]\n", + "Adjust : 0.10991 [ 67.99 %]\n", + "Total : 0.161657 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6628 410 88 6 6 3 1 \n", + "1 : 6627 427 73 12 3 0 0 \n", + "2 : 6692 376 65 6 1 1 1 \n", + "3 : 6660 393 81 6 1 1 0 \n", + "4 : 6645 391 85 11 5 2 3 \n", + "5 : 6644 393 87 13 2 1 2 \n", + "6 : 6676 377 80 5 2 1 1 \n", + "7 : 6663 397 75 4 1 1 1 \n", + "8 : 6655 399 73 10 4 1 0 \n", + "9 : 6666 398 66 7 4 0 1 \n", + "10 : 6688 361 78 12 0 0 3 \n", + "11 : 6682 364 81 9 5 0 1 \n", + "12 : 6677 377 77 6 2 2 1 \n", + "13 : 6632 413 96 9 0 1 3 \n", + "\n", + "T : 93235 5476 1105 116 36 14 18 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 9.3086e-03 sec\n", + "--- Collate = 8.0170e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.299034e-04 < 1.562500e-03 [7]\n", + "--- Max DT=3.047419e-01 > 1.000000e-01 [71552]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71552/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=23.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000324185 [ 0.14 %]\n", + "Velocity : 0.00114622 [ 0.49 %]\n", + "Force : 0.0440874 [ 18.95 %]\n", + "Coefs : 0.0210099 [ 9.03 %]\n", + "Output : 0.00340944 [ 1.47 %]\n", + "Levels : 0.000286836 [ 0.12 %]\n", + "Report : 1.703e-06 [ 0.00 %]\n", + "Balance : 6.83e-07 [ 0.00 %]\n", + "Adjust : 0.162233 [ 69.71 %]\n", + "Total : 0.232711 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6630 407 89 7 5 3 1 \n", + "1 : 6626 430 71 11 2 2 0 \n", + "2 : 6692 376 64 6 2 1 1 \n", + "3 : 6659 392 84 4 3 0 0 \n", + "4 : 6644 391 85 12 5 3 2 \n", + "5 : 6641 396 89 11 2 2 1 \n", + "6 : 6677 376 78 7 1 2 1 \n", + "7 : 6667 393 74 3 3 2 0 \n", + "8 : 6654 400 73 6 6 1 2 \n", + "9 : 6665 399 67 7 3 0 1 \n", + "10 : 6689 359 78 13 0 1 2 \n", + "11 : 6682 363 83 11 1 2 0 \n", + "12 : 6675 381 75 6 1 3 1 \n", + "13 : 6634 410 98 8 1 0 3 \n", + "\n", + "T : 93235 5473 1108 112 35 22 15 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.9999e-03 sec\n", + "--- Collate = 8.2916e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.727087e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.047436e-01 > 1.000000e-01 [71566]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71566/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=23.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000566304 [ 0.22 %]\n", + "Velocity : 0.00143009 [ 0.55 %]\n", + "Force : 0.0495 [ 19.18 %]\n", + "Coefs : 0.0244039 [ 9.46 %]\n", + "Output : 0.0028606 [ 1.11 %]\n", + "Levels : 0.000259422 [ 0.10 %]\n", + "Report : 1.17e-06 [ 0.00 %]\n", + "Balance : 4.88e-07 [ 0.00 %]\n", + "Adjust : 0.178841 [ 69.31 %]\n", + "Total : 0.258037 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6629 410 87 9 4 2 1 \n", + "1 : 6624 432 71 11 1 2 1 \n", + "2 : 6693 374 65 5 3 2 0 \n", + "3 : 6659 391 85 4 2 1 0 \n", + "4 : 6646 384 93 9 5 2 3 \n", + "5 : 6642 396 86 12 4 1 1 \n", + "6 : 6677 376 77 7 2 2 1 \n", + "7 : 6666 394 72 6 2 2 0 \n", + "8 : 6653 402 71 8 5 1 2 \n", + "9 : 6665 399 66 8 1 2 1 \n", + "10 : 6691 356 79 11 3 2 0 \n", + "11 : 6682 364 83 9 2 0 2 \n", + "12 : 6676 381 75 4 4 1 1 \n", + "13 : 6633 410 101 5 2 2 1 \n", + "\n", + "T : 93236 5469 1111 108 40 22 14 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.9278e-03 sec\n", + "--- Collate = 7.0177e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.939859e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.047452e-01 > 1.000000e-01 [71575]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71575/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=23.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000447107 [ 0.17 %]\n", + "Velocity : 0.00142761 [ 0.56 %]\n", + "Force : 0.0496555 [ 19.37 %]\n", + "Coefs : 0.023852 [ 9.31 %]\n", + "Output : 0.00246359 [ 0.96 %]\n", + "Levels : 0.000227248 [ 0.09 %]\n", + "Report : 1.144e-06 [ 0.00 %]\n", + "Balance : 6.58e-07 [ 0.00 %]\n", + "Adjust : 0.178069 [ 69.47 %]\n", + "Total : 0.256325 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6628 411 88 7 4 3 1 \n", + "1 : 6623 430 76 9 1 0 3 \n", + "2 : 6697 371 65 5 3 1 0 \n", + "3 : 6658 391 86 4 1 2 0 \n", + "4 : 6643 388 91 11 6 1 2 \n", + "5 : 6642 396 86 12 3 3 0 \n", + "6 : 6673 379 77 9 1 1 2 \n", + "7 : 6665 394 72 7 2 2 0 \n", + "8 : 6654 399 73 8 3 2 3 \n", + "9 : 6666 395 69 7 2 2 1 \n", + "10 : 6691 355 78 14 3 1 0 \n", + "11 : 6682 363 82 10 3 0 2 \n", + "12 : 6677 377 79 3 3 2 1 \n", + "13 : 6632 411 100 6 3 1 1 \n", + "\n", + "T : 93231 5460 1122 112 38 21 16 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 9.5217e-03 sec\n", + "--- Collate = 7.5963e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.590666e-07 < 1.562500e-03 [12]\n", + "--- Max DT=3.047468e-01 > 1.000000e-01 [71589]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71589/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=23.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000493251 [ 0.19 %]\n", + "Velocity : 0.00127771 [ 0.49 %]\n", + "Force : 0.0501796 [ 19.30 %]\n", + "Coefs : 0.024517 [ 9.43 %]\n", + "Output : 0.00248507 [ 0.96 %]\n", + "Levels : 0.000295743 [ 0.11 %]\n", + "Report : 1.404e-06 [ 0.00 %]\n", + "Balance : 7.68e-07 [ 0.00 %]\n", + "Adjust : 0.180623 [ 69.46 %]\n", + "Total : 0.260036 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6625 415 88 8 2 3 1 \n", + "1 : 6623 429 77 9 1 0 3 \n", + "2 : 6698 371 62 7 1 2 1 \n", + "3 : 6654 394 85 5 1 1 2 \n", + "4 : 6642 389 92 13 5 0 1 \n", + "5 : 6643 394 86 14 1 1 3 \n", + "6 : 6671 383 74 9 1 1 3 \n", + "7 : 6666 393 72 8 1 1 1 \n", + "8 : 6654 399 73 7 4 2 3 \n", + "9 : 6666 399 65 7 1 2 2 \n", + "10 : 6693 353 79 11 6 0 0 \n", + "11 : 6683 363 81 10 1 3 1 \n", + "12 : 6676 379 78 5 1 1 2 \n", + "13 : 6632 410 100 7 4 0 1 \n", + "\n", + "T : 93226 5471 1112 120 30 17 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 9.4893e-03 sec\n", + "--- Collate = 6.5640e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.230903e-05 < 1.562500e-03 [17]\n", + "--- Max DT=3.047481e-01 > 1.000000e-01 [71585]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71585/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=23.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000512534 [ 0.19 %]\n", + "Velocity : 0.00138408 [ 0.52 %]\n", + "Force : 0.0531455 [ 20.03 %]\n", + "Coefs : 0.026032 [ 9.81 %]\n", + "Output : 0.00255611 [ 0.96 %]\n", + "Levels : 0.000251746 [ 0.09 %]\n", + "Report : 1.27e-06 [ 0.00 %]\n", + "Balance : 5.61e-07 [ 0.00 %]\n", + "Adjust : 0.181337 [ 68.33 %]\n", + "Total : 0.265391 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6625 416 87 6 6 0 2 \n", + "1 : 6622 433 74 9 1 1 2 \n", + "2 : 6697 371 64 7 0 1 2 \n", + "3 : 6657 391 84 6 0 2 2 \n", + "4 : 6643 390 91 13 4 1 0 \n", + "5 : 6644 393 86 14 0 2 3 \n", + "6 : 6671 384 73 7 3 2 2 \n", + "7 : 6667 392 72 7 3 0 1 \n", + "8 : 6655 398 73 7 3 3 3 \n", + "9 : 6667 398 65 6 2 2 2 \n", + "10 : 6691 354 80 11 5 1 0 \n", + "11 : 6682 364 82 9 1 2 2 \n", + "12 : 6678 378 77 5 1 1 2 \n", + "13 : 6629 411 101 9 3 1 0 \n", + "\n", + "T : 93228 5473 1109 116 32 19 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 9.4560e-03 sec\n", + "--- Collate = 7.1620e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.474803e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.047495e-01 > 1.000000e-01 [71576]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71576/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=23.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000482745 [ 0.18 %]\n", + "Velocity : 0.00124517 [ 0.47 %]\n", + "Force : 0.0528282 [ 20.14 %]\n", + "Coefs : 0.0253041 [ 9.65 %]\n", + "Output : 0.00244263 [ 0.93 %]\n", + "Levels : 0.00020138 [ 0.08 %]\n", + "Report : 1.271e-06 [ 0.00 %]\n", + "Balance : 3.97e-07 [ 0.00 %]\n", + "Adjust : 0.179591 [ 68.48 %]\n", + "Total : 0.262269 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6626 415 88 5 5 2 1 \n", + "1 : 6621 434 74 9 1 3 0 \n", + "2 : 6699 369 65 5 1 1 2 \n", + "3 : 6658 389 86 5 1 0 3 \n", + "4 : 6643 392 89 12 5 1 0 \n", + "5 : 6643 397 86 9 2 1 4 \n", + "6 : 6671 384 71 8 6 0 2 \n", + "7 : 6667 392 71 8 2 1 1 \n", + "8 : 6656 396 76 3 7 2 2 \n", + "9 : 6665 401 64 5 3 1 3 \n", + "10 : 6690 354 80 12 3 2 1 \n", + "11 : 6684 363 82 7 3 1 2 \n", + "12 : 6676 381 77 4 1 2 1 \n", + "13 : 6628 412 100 10 1 3 0 \n", + "\n", + "T : 93227 5479 1109 102 41 20 22 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 9.5008e-03 sec\n", + "--- Collate = 5.9590e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.591065e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.047507e-01 > 1.000000e-01 [71575]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71575/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=24] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000509878 [ 0.18 %]\n", + "Velocity : 0.00124176 [ 0.43 %]\n", + "Force : 0.0515753 [ 17.77 %]\n", + "Coefs : 0.0256258 [ 8.83 %]\n", + "Output : 0.0278451 [ 9.59 %]\n", + "Levels : 0.00019784 [ 0.07 %]\n", + "Report : 1.473e-06 [ 0.00 %]\n", + "Balance : 9.37e-07 [ 0.00 %]\n", + "Adjust : 0.183045 [ 63.07 %]\n", + "Total : 0.290214 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6627 415 86 7 5 1 1 \n", + "1 : 6621 434 74 9 3 1 0 \n", + "2 : 6699 369 65 4 2 1 2 \n", + "3 : 6660 385 88 5 1 2 1 \n", + "4 : 6643 393 88 13 4 0 1 \n", + "5 : 6645 394 87 9 1 4 2 \n", + "6 : 6673 382 72 4 8 1 2 \n", + "7 : 6667 393 69 9 1 1 2 \n", + "8 : 6655 399 74 3 7 3 1 \n", + "9 : 6663 403 64 5 3 2 2 \n", + "10 : 6691 352 82 12 1 3 1 \n", + "11 : 6686 363 80 7 4 0 2 \n", + "12 : 6675 384 74 5 2 1 1 \n", + "13 : 6627 413 98 11 3 2 0 \n", + "\n", + "T : 93232 5479 1101 103 45 22 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.9184e-03 sec\n", + "--- Collate = 6.5459e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.811739e-06 < 1.562500e-03 [8]\n", + "--- Max DT=3.047518e-01 > 1.000000e-01 [71571]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71571/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=24.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00095578 [ 0.35 %]\n", + "Velocity : 0.00322722 [ 1.20 %]\n", + "Force : 0.0516634 [ 19.16 %]\n", + "Coefs : 0.0263323 [ 9.77 %]\n", + "Output : 0.00523178 [ 1.94 %]\n", + "Levels : 0.000290671 [ 0.11 %]\n", + "Report : 3.79e-07 [ 0.00 %]\n", + "Balance : 3.65e-07 [ 0.00 %]\n", + "Adjust : 0.181737 [ 67.41 %]\n", + "Total : 0.269617 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6626 417 85 8 3 2 1 \n", + "1 : 6620 436 73 10 3 0 0 \n", + "2 : 6701 367 64 4 4 1 1 \n", + "3 : 6660 386 85 6 4 0 1 \n", + "4 : 6644 392 89 11 3 2 1 \n", + "5 : 6647 393 87 7 3 2 3 \n", + "6 : 6671 383 73 5 5 4 1 \n", + "7 : 6668 394 70 6 1 1 2 \n", + "8 : 6654 397 77 6 3 5 0 \n", + "9 : 6662 403 66 6 2 1 2 \n", + "10 : 6691 353 82 11 0 2 3 \n", + "11 : 6685 365 79 7 4 2 0 \n", + "12 : 6674 385 73 6 2 1 1 \n", + "13 : 6626 414 99 10 2 2 1 \n", + "\n", + "T : 93229 5485 1102 103 39 25 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.9518e-03 sec\n", + "--- Collate = 6.6057e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.585150e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.047527e-01 > 1.000000e-01 [71576]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71576/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=24.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00108271 [ 0.38 %]\n", + "Velocity : 0.00277734 [ 0.98 %]\n", + "Force : 0.0549457 [ 19.44 %]\n", + "Coefs : 0.0255091 [ 9.02 %]\n", + "Output : 0.0053975 [ 1.91 %]\n", + "Levels : 0.00844959 [ 2.99 %]\n", + "Report : 1.162e-06 [ 0.00 %]\n", + "Balance : 3.97e-07 [ 0.00 %]\n", + "Adjust : 0.184369 [ 65.21 %]\n", + "Total : 0.282715 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6624 418 85 8 3 3 1 \n", + "1 : 6624 432 72 11 3 0 0 \n", + "2 : 6701 366 65 4 4 1 1 \n", + "3 : 6660 385 85 8 3 1 0 \n", + "4 : 6640 396 90 9 4 1 2 \n", + "5 : 6646 397 85 6 4 2 2 \n", + "6 : 6671 383 73 6 3 4 2 \n", + "7 : 6671 390 71 7 1 0 2 \n", + "8 : 6655 394 79 8 1 2 3 \n", + "9 : 6665 399 67 6 1 3 1 \n", + "10 : 6693 350 84 9 1 3 2 \n", + "11 : 6686 364 78 9 2 3 0 \n", + "12 : 6672 386 74 6 3 0 1 \n", + "13 : 6624 415 101 8 2 3 1 \n", + "\n", + "T : 93232 5475 1109 105 35 26 18 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 9.5746e-03 sec\n", + "--- Collate = 8.9725e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.706658e-06 < 1.562500e-03 [11]\n", + "--- Max DT=3.047535e-01 > 1.000000e-01 [71586]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71586/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=24.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000800603 [ 0.29 %]\n", + "Velocity : 0.0022246 [ 0.79 %]\n", + "Force : 0.0541938 [ 19.30 %]\n", + "Coefs : 0.0263019 [ 9.37 %]\n", + "Output : 0.0027361 [ 0.97 %]\n", + "Levels : 0.000192985 [ 0.07 %]\n", + "Report : 1.212e-06 [ 0.00 %]\n", + "Balance : 3.97e-07 [ 0.00 %]\n", + "Adjust : 0.19413 [ 69.14 %]\n", + "Total : 0.280768 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6622 419 85 10 2 1 3 \n", + "1 : 6624 432 72 13 1 0 0 \n", + "2 : 6700 368 61 8 4 1 0 \n", + "3 : 6661 384 84 9 3 1 0 \n", + "4 : 6638 400 87 10 4 1 2 \n", + "5 : 6645 399 84 8 4 1 1 \n", + "6 : 6675 378 74 5 3 4 3 \n", + "7 : 6671 390 73 4 2 1 1 \n", + "8 : 6656 394 78 5 4 1 4 \n", + "9 : 6668 398 64 7 3 0 2 \n", + "10 : 6692 349 88 6 3 1 3 \n", + "11 : 6685 368 77 8 3 0 1 \n", + "12 : 6671 386 74 7 2 2 0 \n", + "13 : 6621 418 101 6 5 1 2 \n", + "\n", + "T : 93229 5483 1102 106 43 15 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 9.6894e-03 sec\n", + "--- Collate = 6.1205e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.775719e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.047544e-01 > 1.000000e-01 [71593]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71593/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=24.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000541564 [ 0.20 %]\n", + "Velocity : 0.00135353 [ 0.51 %]\n", + "Force : 0.0536276 [ 20.14 %]\n", + "Coefs : 0.0263086 [ 9.88 %]\n", + "Output : 0.00256732 [ 0.96 %]\n", + "Levels : 0.000229083 [ 0.09 %]\n", + "Report : 1.246e-06 [ 0.00 %]\n", + "Balance : 4.55e-07 [ 0.00 %]\n", + "Adjust : 0.181504 [ 68.16 %]\n", + "Total : 0.266295 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6623 418 84 9 4 1 3 \n", + "1 : 6624 432 73 12 1 0 0 \n", + "2 : 6699 370 60 9 3 0 1 \n", + "3 : 6664 382 82 11 2 0 1 \n", + "4 : 6640 399 86 9 4 2 2 \n", + "5 : 6646 398 83 9 4 2 0 \n", + "6 : 6673 380 73 6 3 1 6 \n", + "7 : 6670 392 72 5 1 2 0 \n", + "8 : 6657 393 79 3 4 0 6 \n", + "9 : 6669 397 64 8 1 1 2 \n", + "10 : 6691 351 88 6 2 2 2 \n", + "11 : 6687 366 77 9 2 0 1 \n", + "12 : 6669 387 77 2 5 2 0 \n", + "13 : 6621 418 100 8 3 2 2 \n", + "\n", + "T : 93233 5483 1098 106 39 15 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 9.5469e-03 sec\n", + "--- Collate = 7.3593e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.273839e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.047552e-01 > 1.000000e-01 [71603]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71603/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=24.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000694605 [ 0.26 %]\n", + "Velocity : 0.00146447 [ 0.54 %]\n", + "Force : 0.0531387 [ 19.66 %]\n", + "Coefs : 0.0284504 [ 10.53 %]\n", + "Output : 0.00257521 [ 0.95 %]\n", + "Levels : 0.000180824 [ 0.07 %]\n", + "Report : 1.094e-06 [ 0.00 %]\n", + "Balance : 4.78e-07 [ 0.00 %]\n", + "Adjust : 0.183569 [ 67.93 %]\n", + "Total : 0.270239 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6624 417 86 8 3 1 3 \n", + "1 : 6625 431 73 11 1 1 0 \n", + "2 : 6700 368 61 8 2 2 1 \n", + "3 : 6662 384 82 11 1 1 1 \n", + "4 : 6637 402 86 10 3 2 2 \n", + "5 : 6647 397 83 11 2 1 1 \n", + "6 : 6674 379 73 6 4 1 5 \n", + "7 : 6671 391 71 6 1 2 0 \n", + "8 : 6658 391 80 4 2 4 3 \n", + "9 : 6671 393 66 8 1 1 2 \n", + "10 : 6692 349 91 4 3 1 2 \n", + "11 : 6687 367 76 9 2 0 1 \n", + "12 : 6669 387 76 4 4 1 1 \n", + "13 : 6622 415 103 6 3 3 2 \n", + "\n", + "T : 93239 5471 1107 106 32 21 24 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 9.1629e-03 sec\n", + "--- Collate = 7.0780e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.977403e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.047559e-01 > 1.000000e-01 [71596]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71596/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=24.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000523136 [ 0.19 %]\n", + "Velocity : 0.00143897 [ 0.53 %]\n", + "Force : 0.0531987 [ 19.70 %]\n", + "Coefs : 0.0259354 [ 9.61 %]\n", + "Output : 0.00255507 [ 0.95 %]\n", + "Levels : 0.00027577 [ 0.10 %]\n", + "Report : 1.838e-06 [ 0.00 %]\n", + "Balance : 5.46e-07 [ 0.00 %]\n", + "Adjust : 0.185905 [ 68.85 %]\n", + "Total : 0.270004 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6626 415 86 8 3 3 1 \n", + "1 : 6626 429 74 11 0 2 0 \n", + "2 : 6697 371 62 6 2 2 2 \n", + "3 : 6659 386 85 9 1 0 2 \n", + "4 : 6637 402 87 8 4 2 2 \n", + "5 : 6647 396 82 13 2 1 1 \n", + "6 : 6675 377 73 6 7 1 3 \n", + "7 : 6673 390 71 6 1 1 0 \n", + "8 : 6657 394 78 5 1 3 4 \n", + "9 : 6670 393 66 9 2 1 1 \n", + "10 : 6692 351 89 5 1 3 1 \n", + "11 : 6689 364 77 9 2 1 0 \n", + "12 : 6665 390 77 4 3 1 2 \n", + "13 : 6623 414 103 6 2 4 2 \n", + "\n", + "T : 93236 5472 1110 105 31 25 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 9.3887e-03 sec\n", + "--- Collate = 6.4118e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.865592e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.047565e-01 > 1.000000e-01 [71594]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71594/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=24.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000681737 [ 0.26 %]\n", + "Velocity : 0.0014025 [ 0.53 %]\n", + "Force : 0.0528244 [ 19.94 %]\n", + "Coefs : 0.0263536 [ 9.95 %]\n", + "Output : 0.00223158 [ 0.84 %]\n", + "Levels : 0.000238696 [ 0.09 %]\n", + "Report : 1.292e-06 [ 0.00 %]\n", + "Balance : 8.85e-07 [ 0.00 %]\n", + "Adjust : 0.181064 [ 68.34 %]\n", + "Total : 0.264957 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6623 417 87 9 2 3 1 \n", + "1 : 6627 428 74 10 1 0 2 \n", + "2 : 6695 373 61 8 1 2 2 \n", + "3 : 6659 387 83 10 0 2 1 \n", + "4 : 6635 405 88 8 3 0 3 \n", + "5 : 6646 399 80 11 4 1 1 \n", + "6 : 6679 372 75 8 3 5 0 \n", + "7 : 6672 392 69 8 0 0 1 \n", + "8 : 6657 394 76 7 4 2 2 \n", + "9 : 6672 391 67 8 2 1 1 \n", + "10 : 6693 347 90 6 2 4 0 \n", + "11 : 6690 363 78 6 5 0 0 \n", + "12 : 6665 390 77 3 1 3 3 \n", + "13 : 6624 412 106 5 2 2 3 \n", + "\n", + "T : 93237 5470 1111 107 30 25 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.9170e-03 sec\n", + "--- Collate = 6.3236e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.816340e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.047570e-01 > 1.000000e-01 [71604]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71604/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=24.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000473321 [ 0.19 %]\n", + "Velocity : 0.00130663 [ 0.51 %]\n", + "Force : 0.0520293 [ 20.36 %]\n", + "Coefs : 0.0258162 [ 10.10 %]\n", + "Output : 0.00204768 [ 0.80 %]\n", + "Levels : 0.000257168 [ 0.10 %]\n", + "Report : 6.31e-07 [ 0.00 %]\n", + "Balance : 4.07e-07 [ 0.00 %]\n", + "Adjust : 0.17346 [ 67.88 %]\n", + "Total : 0.255548 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6622 416 88 10 3 0 3 \n", + "1 : 6629 425 75 9 2 0 2 \n", + "2 : 6696 371 63 5 3 1 3 \n", + "3 : 6654 391 84 10 0 1 2 \n", + "4 : 6635 406 84 10 2 3 2 \n", + "5 : 6646 401 77 9 6 2 1 \n", + "6 : 6680 371 74 10 4 1 2 \n", + "7 : 6669 393 72 7 0 0 1 \n", + "8 : 6659 392 76 7 5 1 2 \n", + "9 : 6671 392 67 9 1 1 1 \n", + "10 : 6692 347 92 4 3 2 2 \n", + "11 : 6690 364 77 6 4 1 0 \n", + "12 : 6665 387 80 2 2 1 5 \n", + "13 : 6624 412 107 4 3 1 3 \n", + "\n", + "T : 93232 5468 1116 102 38 15 29 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.7117e-03 sec\n", + "--- Collate = 7.2645e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.781059e-05 < 1.562500e-03 [19]\n", + "--- Max DT=3.047573e-01 > 1.000000e-01 [71623]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 71623/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=24.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000481349 [ 0.18 %]\n", + "Velocity : 0.0013272 [ 0.51 %]\n", + "Force : 0.0496828 [ 19.04 %]\n", + "Coefs : 0.0274439 [ 10.52 %]\n", + "Output : 0.0024895 [ 0.95 %]\n", + "Levels : 0.000256972 [ 0.10 %]\n", + "Report : 1.339e-06 [ 0.00 %]\n", + "Balance : 3.6e-07 [ 0.00 %]\n", + "Adjust : 0.179073 [ 68.63 %]\n", + "Total : 0.260916 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6624 413 89 10 3 0 3 \n", + "1 : 6629 425 75 8 3 1 1 \n", + "2 : 6696 370 63 5 4 0 4 \n", + "3 : 6653 392 84 9 2 1 1 \n", + "4 : 6635 402 88 10 2 3 2 \n", + "5 : 6649 397 76 11 4 3 2 \n", + "6 : 6681 370 73 12 1 2 3 \n", + "7 : 6669 391 75 5 1 0 1 \n", + "8 : 6657 395 75 10 2 2 1 \n", + "9 : 6670 393 68 8 2 0 1 \n", + "10 : 6692 347 91 4 4 1 3 \n", + "11 : 6692 361 79 6 2 2 0 \n", + "12 : 6665 387 78 3 4 1 4 \n", + "13 : 6624 414 107 4 2 1 2 \n", + "\n", + "T : 93236 5457 1121 105 36 17 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.7532e-03 sec\n", + "--- Collate = 6.5699e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.444993e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.047575e-01 > 1.000000e-01 [71613]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71613/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=25] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000490874 [ 0.17 %]\n", + "Velocity : 0.00139446 [ 0.49 %]\n", + "Force : 0.0499555 [ 17.55 %]\n", + "Coefs : 0.0242786 [ 8.53 %]\n", + "Output : 0.0301689 [ 10.60 %]\n", + "Levels : 0.000204909 [ 0.07 %]\n", + "Report : 1.007e-06 [ 0.00 %]\n", + "Balance : 5.69e-07 [ 0.00 %]\n", + "Adjust : 0.178042 [ 62.54 %]\n", + "Total : 0.284684 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6625 412 91 10 1 1 2 \n", + "1 : 6626 429 72 10 3 2 0 \n", + "2 : 6696 370 64 5 4 1 2 \n", + "3 : 6651 393 87 7 2 1 1 \n", + "4 : 6635 402 87 11 3 2 2 \n", + "5 : 6647 400 76 9 4 4 2 \n", + "6 : 6680 372 73 9 2 0 6 \n", + "7 : 6667 393 73 7 0 2 0 \n", + "8 : 6656 396 73 10 5 1 1 \n", + "9 : 6672 391 68 6 3 1 1 \n", + "10 : 6690 351 89 5 2 1 4 \n", + "11 : 6693 360 78 8 1 1 1 \n", + "12 : 6668 383 79 3 5 1 3 \n", + "13 : 6626 417 102 4 2 3 0 \n", + "\n", + "T : 93232 5469 1112 104 37 21 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.9974e-03 sec\n", + "--- Collate = 6.3641e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.469897e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.047579e-01 > 1.000000e-01 [71629]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71629/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=25.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00105108 [ 0.39 %]\n", + "Velocity : 0.00282696 [ 1.04 %]\n", + "Force : 0.0523901 [ 19.30 %]\n", + "Coefs : 0.0234591 [ 8.64 %]\n", + "Output : 0.00522855 [ 1.93 %]\n", + "Levels : 0.000262455 [ 0.10 %]\n", + "Report : 1.085e-06 [ 0.00 %]\n", + "Balance : 4.14e-07 [ 0.00 %]\n", + "Adjust : 0.186072 [ 68.54 %]\n", + "Total : 0.271482 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6627 410 92 10 1 2 0 \n", + "1 : 6625 430 74 8 4 1 0 \n", + "2 : 6697 370 62 7 1 3 2 \n", + "3 : 6650 394 88 6 2 2 0 \n", + "4 : 6637 397 90 12 3 1 2 \n", + "5 : 6645 404 74 10 2 4 3 \n", + "6 : 6680 372 73 9 1 2 5 \n", + "7 : 6667 394 73 4 2 1 1 \n", + "8 : 6654 396 74 10 7 0 1 \n", + "9 : 6673 389 69 5 4 1 1 \n", + "10 : 6689 352 89 5 2 2 3 \n", + "11 : 6690 362 79 8 1 0 2 \n", + "12 : 6669 383 78 6 2 3 1 \n", + "13 : 6625 417 101 5 5 1 0 \n", + "\n", + "T : 93228 5470 1116 105 37 23 21 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.6486e-03 sec\n", + "--- Collate = 7.0946e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.290867e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.047581e-01 > 1.000000e-01 [71631]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71631/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=25.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00108706 [ 0.41 %]\n", + "Velocity : 0.00278251 [ 1.04 %]\n", + "Force : 0.052392 [ 19.67 %]\n", + "Coefs : 0.0222747 [ 8.36 %]\n", + "Output : 0.00513909 [ 1.93 %]\n", + "Levels : 0.000248946 [ 0.09 %]\n", + "Report : 7.84e-07 [ 0.00 %]\n", + "Balance : 3.84e-07 [ 0.00 %]\n", + "Adjust : 0.18228 [ 68.42 %]\n", + "Total : 0.266394 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6626 411 91 10 3 1 0 \n", + "1 : 6623 433 71 11 2 1 1 \n", + "2 : 6695 372 62 8 2 1 2 \n", + "3 : 6650 393 88 6 3 1 1 \n", + "4 : 6636 400 90 11 2 2 1 \n", + "5 : 6644 403 77 9 2 2 5 \n", + "6 : 6680 373 73 7 3 2 4 \n", + "7 : 6667 394 72 5 3 0 1 \n", + "8 : 6658 392 74 8 7 3 0 \n", + "9 : 6676 386 69 5 3 2 1 \n", + "10 : 6690 349 88 7 4 2 2 \n", + "11 : 6691 360 80 8 1 0 2 \n", + "12 : 6669 381 81 6 2 3 0 \n", + "13 : 6624 417 103 7 1 1 1 \n", + "\n", + "T : 93229 5464 1119 108 38 21 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.1324e-03 sec\n", + "--- Collate = 6.9696e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.305619e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.047726e-01 > 1.000000e-01 [71619]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71619/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=25.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00107975 [ 0.40 %]\n", + "Velocity : 0.00255468 [ 0.95 %]\n", + "Force : 0.052093 [ 19.43 %]\n", + "Coefs : 0.022154 [ 8.27 %]\n", + "Output : 0.00528417 [ 1.97 %]\n", + "Levels : 0.000409627 [ 0.15 %]\n", + "Report : 4.33e-07 [ 0.00 %]\n", + "Balance : 3.73e-07 [ 0.00 %]\n", + "Adjust : 0.184271 [ 68.75 %]\n", + "Total : 0.268041 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6626 411 91 9 5 0 0 \n", + "1 : 6624 431 72 11 2 1 1 \n", + "2 : 6695 370 65 6 2 1 3 \n", + "3 : 6652 391 85 9 4 0 1 \n", + "4 : 6635 400 92 10 2 3 0 \n", + "5 : 6645 403 76 9 2 2 5 \n", + "6 : 6680 372 73 6 6 4 1 \n", + "7 : 6666 393 74 6 0 2 1 \n", + "8 : 6659 392 73 9 4 3 2 \n", + "9 : 6675 389 67 5 1 3 2 \n", + "10 : 6689 350 87 8 5 2 1 \n", + "11 : 6693 358 79 9 1 1 1 \n", + "12 : 6672 375 85 6 2 1 1 \n", + "13 : 6627 414 102 6 3 0 2 \n", + "\n", + "T : 93238 5449 1121 109 39 23 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.2790e-03 sec\n", + "--- Collate = 6.7625e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.395145e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.048025e-01 > 1.000000e-01 [71624]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71624/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=25.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00110013 [ 0.41 %]\n", + "Velocity : 0.0027934 [ 1.03 %]\n", + "Force : 0.0524395 [ 19.35 %]\n", + "Coefs : 0.0225373 [ 8.32 %]\n", + "Output : 0.00527643 [ 1.95 %]\n", + "Levels : 0.000254523 [ 0.09 %]\n", + "Report : 6.47e-07 [ 0.00 %]\n", + "Balance : 4.47e-07 [ 0.00 %]\n", + "Adjust : 0.186416 [ 68.78 %]\n", + "Total : 0.27102 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6628 409 93 9 3 0 0 \n", + "1 : 6624 432 70 11 3 0 2 \n", + "2 : 6694 370 65 7 3 1 2 \n", + "3 : 6653 390 85 10 3 0 1 \n", + "4 : 6634 401 89 13 3 2 0 \n", + "5 : 6644 406 74 11 1 2 4 \n", + "6 : 6680 372 77 4 2 5 2 \n", + "7 : 6665 392 77 5 0 2 1 \n", + "8 : 6659 391 74 9 4 2 3 \n", + "9 : 6673 390 68 4 2 1 4 \n", + "10 : 6688 351 87 8 3 4 1 \n", + "11 : 6694 358 79 6 4 1 0 \n", + "12 : 6671 377 82 6 4 1 1 \n", + "13 : 6626 414 102 5 4 0 3 \n", + "\n", + "T : 93233 5453 1122 108 39 21 24 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.0779e-03 sec\n", + "--- Collate = 6.2642e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.210428e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.048304e-01 > 1.000000e-01 [71619]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71619/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=25.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00114331 [ 0.43 %]\n", + "Velocity : 0.00283155 [ 1.07 %]\n", + "Force : 0.0511121 [ 19.31 %]\n", + "Coefs : 0.0230871 [ 8.72 %]\n", + "Output : 0.00516425 [ 1.95 %]\n", + "Levels : 0.000256213 [ 0.10 %]\n", + "Report : 4.98e-07 [ 0.00 %]\n", + "Balance : 3.86e-07 [ 0.00 %]\n", + "Adjust : 0.18095 [ 68.35 %]\n", + "Total : 0.264739 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6630 406 94 10 1 1 0 \n", + "1 : 6623 433 69 12 3 1 1 \n", + "2 : 6694 369 66 7 3 1 2 \n", + "3 : 6654 388 87 8 3 2 0 \n", + "4 : 6633 402 89 12 5 0 1 \n", + "5 : 6646 405 73 11 3 3 1 \n", + "6 : 6681 372 75 4 4 3 3 \n", + "7 : 6667 390 77 5 1 0 2 \n", + "8 : 6662 387 75 8 3 3 4 \n", + "9 : 6675 389 67 5 1 1 4 \n", + "10 : 6687 352 87 8 5 1 2 \n", + "11 : 6692 359 80 6 4 1 0 \n", + "12 : 6672 376 81 6 5 1 1 \n", + "13 : 6625 414 101 8 1 1 4 \n", + "\n", + "T : 93241 5442 1121 110 42 19 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.1811e-03 sec\n", + "--- Collate = 7.1822e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.633589e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.048561e-01 > 1.000000e-01 [71616]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71616/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=25.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00108282 [ 0.42 %]\n", + "Velocity : 0.00278254 [ 1.08 %]\n", + "Force : 0.0513718 [ 19.90 %]\n", + "Coefs : 0.0219608 [ 8.50 %]\n", + "Output : 0.00500993 [ 1.94 %]\n", + "Levels : 0.000286607 [ 0.11 %]\n", + "Report : 7.74e-07 [ 0.00 %]\n", + "Balance : 3.86e-07 [ 0.00 %]\n", + "Adjust : 0.175531 [ 67.98 %]\n", + "Total : 0.258212 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6629 407 93 11 0 2 0 \n", + "1 : 6622 434 68 11 4 2 1 \n", + "2 : 6694 369 64 9 5 1 0 \n", + "3 : 6654 388 86 8 3 3 0 \n", + "4 : 6634 400 90 14 1 2 1 \n", + "5 : 6648 403 72 13 5 0 1 \n", + "6 : 6680 373 72 7 4 0 6 \n", + "7 : 6666 391 78 4 1 0 2 \n", + "8 : 6660 389 80 4 2 5 2 \n", + "9 : 6679 386 67 4 1 2 3 \n", + "10 : 6688 351 87 9 4 0 3 \n", + "11 : 6689 362 80 7 3 1 0 \n", + "12 : 6674 375 80 5 4 3 1 \n", + "13 : 6625 415 99 9 0 3 3 \n", + "\n", + "T : 93242 5443 1116 115 37 24 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.1399e-03 sec\n", + "--- Collate = 6.5073e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.359950e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.048795e-01 > 1.000000e-01 [71620]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71620/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=25.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00109197 [ 0.41 %]\n", + "Velocity : 0.00272796 [ 1.01 %]\n", + "Force : 0.0514937 [ 19.15 %]\n", + "Coefs : 0.022449 [ 8.35 %]\n", + "Output : 0.0052457 [ 1.95 %]\n", + "Levels : 0.000304876 [ 0.11 %]\n", + "Report : 6.31e-07 [ 0.00 %]\n", + "Balance : 3.75e-07 [ 0.00 %]\n", + "Adjust : 0.185327 [ 68.93 %]\n", + "Total : 0.268848 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6628 409 94 9 0 1 1 \n", + "1 : 6624 432 70 11 3 0 2 \n", + "2 : 6695 367 65 11 2 1 1 \n", + "3 : 6656 386 85 8 5 1 1 \n", + "4 : 6633 401 90 12 2 2 2 \n", + "5 : 6645 406 73 14 3 1 0 \n", + "6 : 6681 372 71 9 3 2 4 \n", + "7 : 6666 390 79 5 0 1 1 \n", + "8 : 6661 388 80 5 1 4 3 \n", + "9 : 6680 387 65 4 1 2 3 \n", + "10 : 6688 351 90 5 5 1 2 \n", + "11 : 6688 363 79 8 2 2 0 \n", + "12 : 6673 376 80 5 5 1 2 \n", + "13 : 6627 412 101 6 4 2 2 \n", + "\n", + "T : 93245 5440 1122 112 36 21 24 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.7560e-03 sec\n", + "--- Collate = 6.7660e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.279704e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.049006e-01 > 1.000000e-01 [71617]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71617/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=25.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00108225 [ 0.43 %]\n", + "Velocity : 0.00234839 [ 0.93 %]\n", + "Force : 0.050178 [ 19.80 %]\n", + "Coefs : 0.0219596 [ 8.67 %]\n", + "Output : 0.00493342 [ 1.95 %]\n", + "Levels : 0.000287505 [ 0.11 %]\n", + "Report : 6.64e-07 [ 0.00 %]\n", + "Balance : 4.23e-07 [ 0.00 %]\n", + "Adjust : 0.172418 [ 68.05 %]\n", + "Total : 0.253379 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6629 411 91 8 1 0 2 \n", + "1 : 6622 434 71 10 1 2 2 \n", + "2 : 6695 366 66 9 4 1 1 \n", + "3 : 6659 382 86 8 4 1 2 \n", + "4 : 6633 401 91 10 3 2 2 \n", + "5 : 6643 403 79 13 3 1 0 \n", + "6 : 6680 373 71 8 4 3 3 \n", + "7 : 6666 390 79 5 0 2 0 \n", + "8 : 6661 388 80 5 3 3 2 \n", + "9 : 6682 385 65 5 1 3 1 \n", + "10 : 6686 353 90 8 1 2 2 \n", + "11 : 6687 363 80 9 1 1 1 \n", + "12 : 6672 377 79 7 4 0 3 \n", + "13 : 6627 411 101 7 4 2 2 \n", + "\n", + "T : 93242 5437 1129 112 34 23 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.6564e-03 sec\n", + "--- Collate = 6.5642e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.125600e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.049196e-01 > 1.000000e-01 [71613]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71613/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=25.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00108271 [ 0.43 %]\n", + "Velocity : 0.00253771 [ 1.00 %]\n", + "Force : 0.0493012 [ 19.43 %]\n", + "Coefs : 0.0220351 [ 8.69 %]\n", + "Output : 0.00525301 [ 2.07 %]\n", + "Levels : 0.000276938 [ 0.11 %]\n", + "Report : 5.46e-07 [ 0.00 %]\n", + "Balance : 4.23e-07 [ 0.00 %]\n", + "Adjust : 0.17299 [ 68.19 %]\n", + "Total : 0.253675 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6629 412 89 9 1 0 2 \n", + "1 : 6621 435 72 9 0 2 3 \n", + "2 : 6694 366 66 10 5 0 1 \n", + "3 : 6663 377 86 10 2 1 3 \n", + "4 : 6630 404 91 8 6 1 2 \n", + "5 : 6646 398 80 14 2 1 1 \n", + "6 : 6678 377 68 11 4 3 1 \n", + "7 : 6661 394 81 4 2 0 0 \n", + "8 : 6662 386 83 5 2 1 3 \n", + "9 : 6681 386 65 5 4 0 1 \n", + "10 : 6687 351 91 7 3 2 1 \n", + "11 : 6687 362 82 7 2 0 2 \n", + "12 : 6671 381 76 8 3 1 2 \n", + "13 : 6627 410 102 7 3 4 1 \n", + "\n", + "T : 93237 5439 1132 114 39 16 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.6076e-03 sec\n", + "--- Collate = 5.1579e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.827980e-06 < 1.562500e-03 [11]\n", + "--- Max DT=3.049361e-01 > 1.000000e-01 [71624]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71624/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=26] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000941352 [ 0.34 %]\n", + "Velocity : 0.00230722 [ 0.84 %]\n", + "Force : 0.0485617 [ 17.70 %]\n", + "Coefs : 0.0219314 [ 7.99 %]\n", + "Output : 0.0305142 [ 11.12 %]\n", + "Levels : 0.000330559 [ 0.12 %]\n", + "Report : 1.444e-06 [ 0.00 %]\n", + "Balance : 9.08e-07 [ 0.00 %]\n", + "Adjust : 0.169634 [ 61.82 %]\n", + "Total : 0.274403 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6630 410 89 9 2 1 1 \n", + "1 : 6623 436 68 9 1 2 3 \n", + "2 : 6695 364 66 12 4 1 0 \n", + "3 : 6662 379 85 10 3 1 2 \n", + "4 : 6628 409 89 7 3 4 2 \n", + "5 : 6647 395 84 11 2 2 1 \n", + "6 : 6679 375 71 8 7 1 1 \n", + "7 : 6664 390 82 5 1 0 0 \n", + "8 : 6662 386 83 5 2 3 1 \n", + "9 : 6681 387 64 6 3 1 0 \n", + "10 : 6689 349 92 7 2 2 1 \n", + "11 : 6684 366 80 8 2 0 2 \n", + "12 : 6670 383 76 8 1 4 0 \n", + "13 : 6625 412 103 7 3 3 1 \n", + "\n", + "T : 93239 5441 1132 112 36 25 15 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.7282e-03 sec\n", + "--- Collate = 6.3259e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.221119e-04 < 1.562500e-03 [3]\n", + "--- Max DT=3.049503e-01 > 1.000000e-01 [71609]\n", + "----------------------------------------------------------------------\n", + " Component | low: 3/100000\n", + " Component | high: 71609/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=26.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00121861 [ 0.47 %]\n", + "Velocity : 0.0029172 [ 1.13 %]\n", + "Force : 0.0503517 [ 19.52 %]\n", + "Coefs : 0.0228326 [ 8.85 %]\n", + "Output : 0.00507775 [ 1.97 %]\n", + "Levels : 0.000242703 [ 0.09 %]\n", + "Report : 7.09e-07 [ 0.00 %]\n", + "Balance : 4.1e-07 [ 0.00 %]\n", + "Adjust : 0.175184 [ 67.90 %]\n", + "Total : 0.258 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6631 408 90 9 1 1 2 \n", + "1 : 6622 435 70 7 3 2 3 \n", + "2 : 6697 361 67 13 1 3 0 \n", + "3 : 6659 381 87 8 3 2 2 \n", + "4 : 6628 409 89 8 2 5 1 \n", + "5 : 6646 397 84 8 4 0 3 \n", + "6 : 6675 380 69 8 8 1 1 \n", + "7 : 6663 390 83 6 0 0 0 \n", + "8 : 6663 386 78 8 5 1 1 \n", + "9 : 6682 386 63 10 0 1 0 \n", + "10 : 6689 349 92 6 3 1 2 \n", + "11 : 6686 364 80 8 2 2 0 \n", + "12 : 6669 384 76 7 4 1 1 \n", + "13 : 6626 410 107 4 4 1 2 \n", + "\n", + "T : 93236 5440 1135 110 40 21 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.1923e-03 sec\n", + "--- Collate = 8.2769e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.499347e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.049619e-01 > 1.000000e-01 [71612]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71612/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=26.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000942942 [ 0.38 %]\n", + "Velocity : 0.00233062 [ 0.93 %]\n", + "Force : 0.0483114 [ 19.27 %]\n", + "Coefs : 0.0232901 [ 9.29 %]\n", + "Output : 0.00488331 [ 1.95 %]\n", + "Levels : 0.000253927 [ 0.10 %]\n", + "Report : 3.38e-07 [ 0.00 %]\n", + "Balance : 3.42e-07 [ 0.00 %]\n", + "Adjust : 0.170458 [ 68.01 %]\n", + "Total : 0.250645 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6630 408 91 9 2 0 2 \n", + "1 : 6622 434 73 6 3 2 2 \n", + "2 : 6696 363 65 14 2 1 1 \n", + "3 : 6660 381 90 3 5 1 2 \n", + "4 : 6626 411 88 9 3 2 3 \n", + "5 : 6646 396 85 9 2 2 2 \n", + "6 : 6675 380 68 11 4 4 0 \n", + "7 : 6666 386 84 5 1 0 0 \n", + "8 : 6661 389 75 11 4 2 0 \n", + "9 : 6680 387 64 9 2 0 0 \n", + "10 : 6690 348 91 7 3 1 2 \n", + "11 : 6683 367 80 7 3 2 0 \n", + "12 : 6670 382 75 9 4 1 1 \n", + "13 : 6625 410 107 6 3 1 2 \n", + "\n", + "T : 93230 5442 1136 115 41 19 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.5907e-03 sec\n", + "--- Collate = 7.4724e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.775374e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.049709e-01 > 1.000000e-01 [71627]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71627/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=26.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000782779 [ 0.29 %]\n", + "Velocity : 0.00215428 [ 0.80 %]\n", + "Force : 0.0516169 [ 19.08 %]\n", + "Coefs : 0.0236467 [ 8.74 %]\n", + "Output : 0.00543278 [ 2.01 %]\n", + "Levels : 0.000249264 [ 0.09 %]\n", + "Report : 7.76e-07 [ 0.00 %]\n", + "Balance : 3.65e-07 [ 0.00 %]\n", + "Adjust : 0.186424 [ 68.92 %]\n", + "Total : 0.270494 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6632 406 91 9 2 0 2 \n", + "1 : 6623 432 74 7 2 3 1 \n", + "2 : 6696 362 65 14 3 0 2 \n", + "3 : 6660 382 88 3 7 0 2 \n", + "4 : 6626 410 90 9 2 1 4 \n", + "5 : 6646 398 86 3 4 3 2 \n", + "6 : 6675 382 66 12 3 2 2 \n", + "7 : 6669 382 83 7 0 1 0 \n", + "8 : 6663 388 74 12 4 0 1 \n", + "9 : 6682 383 66 8 3 0 0 \n", + "10 : 6690 348 91 8 0 2 3 \n", + "11 : 6686 364 81 7 2 2 0 \n", + "12 : 6671 381 76 7 3 3 1 \n", + "13 : 6624 414 104 8 1 1 2 \n", + "\n", + "T : 93243 5432 1135 114 36 18 22 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.9698e-03 sec\n", + "--- Collate = 5.3948e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.485934e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.049774e-01 > 1.000000e-01 [71637]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71637/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=26.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00114882 [ 0.45 %]\n", + "Velocity : 0.00277978 [ 1.08 %]\n", + "Force : 0.0501607 [ 19.44 %]\n", + "Coefs : 0.022693 [ 8.79 %]\n", + "Output : 0.00502903 [ 1.95 %]\n", + "Levels : 0.000276239 [ 0.11 %]\n", + "Report : 6.92e-07 [ 0.00 %]\n", + "Balance : 3.56e-07 [ 0.00 %]\n", + "Adjust : 0.175769 [ 68.12 %]\n", + "Total : 0.25803 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6632 406 89 11 1 3 0 \n", + "1 : 6624 433 73 6 4 1 1 \n", + "2 : 6694 364 66 13 3 0 2 \n", + "3 : 6659 384 85 7 3 3 1 \n", + "4 : 6628 410 86 11 2 2 3 \n", + "5 : 6647 398 85 2 5 3 2 \n", + "6 : 6675 380 68 12 2 2 3 \n", + "7 : 6670 382 82 5 2 0 1 \n", + "8 : 6661 387 78 11 4 0 1 \n", + "9 : 6681 382 68 9 1 1 0 \n", + "10 : 6691 348 88 9 3 2 1 \n", + "11 : 6688 364 79 7 1 1 2 \n", + "12 : 6671 382 75 7 2 2 3 \n", + "13 : 6623 416 104 8 0 3 0 \n", + "\n", + "T : 93244 5436 1126 118 33 23 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.3667e-03 sec\n", + "--- Collate = 6.2094e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.162454e-06 < 1.562500e-03 [15]\n", + "--- Max DT=3.049814e-01 > 1.000000e-01 [71626]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71626/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=26.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00091413 [ 0.36 %]\n", + "Velocity : 0.00255457 [ 1.01 %]\n", + "Force : 0.0495014 [ 19.62 %]\n", + "Coefs : 0.022118 [ 8.77 %]\n", + "Output : 0.00482294 [ 1.91 %]\n", + "Levels : 0.000249262 [ 0.10 %]\n", + "Report : 7.29e-07 [ 0.00 %]\n", + "Balance : 3.34e-07 [ 0.00 %]\n", + "Adjust : 0.171972 [ 68.16 %]\n", + "Total : 0.252324 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6633 405 90 9 2 3 0 \n", + "1 : 6621 438 68 10 3 1 1 \n", + "2 : 6694 363 69 13 1 1 1 \n", + "3 : 6655 389 84 8 1 3 2 \n", + "4 : 6628 409 85 11 4 3 2 \n", + "5 : 6647 397 84 4 4 3 3 \n", + "6 : 6675 379 71 9 3 1 4 \n", + "7 : 6668 383 83 5 2 0 1 \n", + "8 : 6660 389 76 12 3 1 1 \n", + "9 : 6681 382 70 6 1 1 1 \n", + "10 : 6689 350 88 10 1 1 3 \n", + "11 : 6685 367 80 5 1 1 3 \n", + "12 : 6671 381 76 7 3 0 4 \n", + "13 : 6622 417 102 10 2 1 0 \n", + "\n", + "T : 93229 5449 1126 119 31 20 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.2544e-03 sec\n", + "--- Collate = 7.4179e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.549094e-04 < 1.562500e-03 [11]\n", + "--- Max DT=3.049830e-01 > 1.000000e-01 [71630]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71630/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=26.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00113212 [ 0.45 %]\n", + "Velocity : 0.00259346 [ 1.02 %]\n", + "Force : 0.048856 [ 19.29 %]\n", + "Coefs : 0.022235 [ 8.78 %]\n", + "Output : 0.00489477 [ 1.93 %]\n", + "Levels : 0.000239357 [ 0.09 %]\n", + "Report : 5.76e-07 [ 0.00 %]\n", + "Balance : 3.04e-07 [ 0.00 %]\n", + "Adjust : 0.173169 [ 68.37 %]\n", + "Total : 0.253291 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6633 407 88 8 4 2 0 \n", + "1 : 6621 437 67 14 1 1 1 \n", + "2 : 6695 364 67 12 2 2 0 \n", + "3 : 6656 388 84 7 1 4 2 \n", + "4 : 6631 407 83 13 5 1 2 \n", + "5 : 6647 396 84 5 5 1 4 \n", + "6 : 6676 379 72 8 1 4 2 \n", + "7 : 6670 381 83 5 1 1 1 \n", + "8 : 6661 390 75 10 4 1 1 \n", + "9 : 6681 383 69 6 1 0 2 \n", + "10 : 6689 348 89 10 3 1 2 \n", + "11 : 6682 370 78 7 1 1 3 \n", + "12 : 6672 381 75 7 3 0 4 \n", + "13 : 6620 419 105 8 2 0 0 \n", + "\n", + "T : 93234 5450 1119 120 34 19 24 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.7984e-03 sec\n", + "--- Collate = 5.6410e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.953072e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.049825e-01 > 1.000000e-01 [71635]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71635/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=26.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000957723 [ 0.37 %]\n", + "Velocity : 0.0024558 [ 0.95 %]\n", + "Force : 0.0498726 [ 19.31 %]\n", + "Coefs : 0.0217317 [ 8.41 %]\n", + "Output : 0.0049919 [ 1.93 %]\n", + "Levels : 0.000284088 [ 0.11 %]\n", + "Report : 6.64e-07 [ 0.00 %]\n", + "Balance : 3.13e-07 [ 0.00 %]\n", + "Adjust : 0.177781 [ 68.83 %]\n", + "Total : 0.258282 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6633 407 85 10 4 3 0 \n", + "1 : 6622 440 63 12 3 1 1 \n", + "2 : 6694 365 67 12 4 0 0 \n", + "3 : 6659 384 83 8 3 1 4 \n", + "4 : 6632 403 87 11 5 1 3 \n", + "5 : 6648 394 84 7 4 2 3 \n", + "6 : 6676 379 74 7 1 3 2 \n", + "7 : 6666 382 85 6 0 3 0 \n", + "8 : 6660 390 74 13 3 1 1 \n", + "9 : 6681 383 69 5 1 1 2 \n", + "10 : 6688 350 87 11 3 2 1 \n", + "11 : 6684 366 80 7 1 2 2 \n", + "12 : 6672 381 76 7 2 2 2 \n", + "13 : 6622 418 102 11 1 0 0 \n", + "\n", + "T : 93237 5442 1116 127 35 22 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.4310e-03 sec\n", + "--- Collate = 6.2890e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.857269e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.049797e-01 > 1.000000e-01 [71632]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71632/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=26.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000939841 [ 0.37 %]\n", + "Velocity : 0.0025377 [ 1.01 %]\n", + "Force : 0.0479765 [ 19.10 %]\n", + "Coefs : 0.0228024 [ 9.08 %]\n", + "Output : 0.00483976 [ 1.93 %]\n", + "Levels : 0.000250582 [ 0.10 %]\n", + "Report : 6.64e-07 [ 0.00 %]\n", + "Balance : 3.06e-07 [ 0.00 %]\n", + "Adjust : 0.171718 [ 68.35 %]\n", + "Total : 0.251247 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6633 405 89 10 3 1 1 \n", + "1 : 6623 439 63 12 4 0 1 \n", + "2 : 6693 366 69 9 5 0 0 \n", + "3 : 6659 385 82 9 1 2 4 \n", + "4 : 6633 401 89 11 3 3 2 \n", + "5 : 6648 393 84 10 3 1 3 \n", + "6 : 6679 375 74 7 2 1 4 \n", + "7 : 6666 380 87 6 0 2 1 \n", + "8 : 6655 395 74 13 4 0 1 \n", + "9 : 6678 385 70 5 0 3 1 \n", + "10 : 6688 350 86 11 5 2 0 \n", + "11 : 6687 363 80 7 3 1 1 \n", + "12 : 6674 376 76 10 2 4 0 \n", + "13 : 6626 415 100 12 0 1 0 \n", + "\n", + "T : 93242 5428 1123 132 35 21 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.7762e-03 sec\n", + "--- Collate = 6.2178e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.442743e-04 < 1.562500e-03 [5]\n", + "--- Max DT=3.049749e-01 > 1.000000e-01 [71633]\n", + "----------------------------------------------------------------------\n", + " Component | low: 5/100000\n", + " Component | high: 71633/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=26.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.001099 [ 0.42 %]\n", + "Velocity : 0.00253662 [ 0.96 %]\n", + "Force : 0.0513237 [ 19.38 %]\n", + "Coefs : 0.0228305 [ 8.62 %]\n", + "Output : 0.00507524 [ 1.92 %]\n", + "Levels : 0.00829536 [ 3.13 %]\n", + "Report : 1.196e-06 [ 0.00 %]\n", + "Balance : 3.92e-07 [ 0.00 %]\n", + "Adjust : 0.173422 [ 65.50 %]\n", + "Total : 0.264766 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6635 402 90 11 2 0 2 \n", + "1 : 6625 437 63 9 5 3 0 \n", + "2 : 6693 366 68 9 5 1 0 \n", + "3 : 6659 385 81 9 4 1 3 \n", + "4 : 6632 402 90 10 3 2 3 \n", + "5 : 6647 392 85 12 2 3 1 \n", + "6 : 6677 377 76 6 2 1 3 \n", + "7 : 6667 379 86 6 2 0 2 \n", + "8 : 6652 396 76 13 3 2 0 \n", + "9 : 6680 379 74 5 0 3 1 \n", + "10 : 6692 346 87 9 7 1 0 \n", + "11 : 6689 359 82 8 2 1 1 \n", + "12 : 6674 375 77 9 4 2 1 \n", + "13 : 6623 419 95 14 2 1 0 \n", + "\n", + "T : 93245 5414 1130 130 43 21 17 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.7118e-03 sec\n", + "--- Collate = 5.2003e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.980079e-06 < 1.562500e-03 [10]\n", + "--- Max DT=3.049683e-01 > 1.000000e-01 [71622]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71622/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=27] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000947011 [ 0.33 %]\n", + "Velocity : 0.0024601 [ 0.85 %]\n", + "Force : 0.0504577 [ 17.40 %]\n", + "Coefs : 0.0226925 [ 7.83 %]\n", + "Output : 0.0332795 [ 11.48 %]\n", + "Levels : 0.000248864 [ 0.09 %]\n", + "Report : 1.378e-06 [ 0.00 %]\n", + "Balance : 5.8e-07 [ 0.00 %]\n", + "Adjust : 0.179674 [ 61.97 %]\n", + "Total : 0.289937 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6635 403 91 9 1 1 2 \n", + "1 : 6625 435 66 8 5 2 1 \n", + "2 : 6693 366 68 9 5 1 0 \n", + "3 : 6661 382 81 10 3 4 1 \n", + "4 : 6632 402 91 7 6 2 2 \n", + "5 : 6646 394 84 11 5 1 1 \n", + "6 : 6679 376 74 9 0 2 2 \n", + "7 : 6665 382 84 7 2 0 2 \n", + "8 : 6648 399 78 14 1 2 0 \n", + "9 : 6681 378 72 7 1 1 2 \n", + "10 : 6691 348 87 8 6 2 0 \n", + "11 : 6692 356 82 9 2 1 0 \n", + "12 : 6672 377 77 11 2 1 2 \n", + "13 : 6627 415 95 12 3 2 0 \n", + "\n", + "T : 93247 5413 1130 131 42 22 15 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.5919e-03 sec\n", + "--- Collate = 7.0898e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.192093e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.049594e-01 > 1.000000e-01 [71626]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71626/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=27.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000854059 [ 0.30 %]\n", + "Velocity : 0.00301263 [ 1.05 %]\n", + "Force : 0.0529381 [ 18.44 %]\n", + "Coefs : 0.0250103 [ 8.71 %]\n", + "Output : 0.00540633 [ 1.88 %]\n", + "Levels : 0.000336166 [ 0.12 %]\n", + "Report : 7.45e-07 [ 0.00 %]\n", + "Balance : 3.91e-07 [ 0.00 %]\n", + "Adjust : 0.199359 [ 69.43 %]\n", + "Total : 0.28713 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6635 404 89 9 2 2 1 \n", + "1 : 6621 438 67 9 3 2 2 \n", + "2 : 6693 368 67 9 3 1 1 \n", + "3 : 6659 385 80 10 5 0 3 \n", + "4 : 6631 405 88 7 9 0 2 \n", + "5 : 6648 391 85 11 6 0 1 \n", + "6 : 6679 375 75 6 4 2 1 \n", + "7 : 6664 384 83 8 1 1 1 \n", + "8 : 6648 401 77 12 3 1 0 \n", + "9 : 6681 378 73 6 2 0 2 \n", + "10 : 6692 347 88 9 2 4 0 \n", + "11 : 6695 353 83 10 1 0 0 \n", + "12 : 6674 376 75 14 0 0 3 \n", + "13 : 6626 415 95 11 6 1 0 \n", + "\n", + "T : 93246 5420 1125 131 47 14 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.9914e-03 sec\n", + "--- Collate = 6.2018e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.261556e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.049482e-01 > 1.000000e-01 [71630]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71630/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=27.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00112142 [ 0.40 %]\n", + "Velocity : 0.00248483 [ 0.88 %]\n", + "Force : 0.0530531 [ 18.80 %]\n", + "Coefs : 0.0264457 [ 9.37 %]\n", + "Output : 0.0052046 [ 1.84 %]\n", + "Levels : 0.000255068 [ 0.09 %]\n", + "Report : 6.51e-07 [ 0.00 %]\n", + "Balance : 3.96e-07 [ 0.00 %]\n", + "Adjust : 0.193443 [ 68.55 %]\n", + "Total : 0.282199 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6636 403 88 9 4 2 0 \n", + "1 : 6621 438 67 8 2 3 3 \n", + "2 : 6691 370 68 8 2 1 2 \n", + "3 : 6660 384 81 11 1 3 2 \n", + "4 : 6632 405 86 7 7 5 0 \n", + "5 : 6649 390 84 12 5 1 1 \n", + "6 : 6677 377 75 5 4 3 1 \n", + "7 : 6668 380 81 8 3 2 0 \n", + "8 : 6649 400 79 11 2 0 1 \n", + "9 : 6680 379 73 7 1 1 1 \n", + "10 : 6693 347 86 11 1 2 2 \n", + "11 : 6695 353 82 11 1 0 0 \n", + "12 : 6673 379 73 10 3 2 2 \n", + "13 : 6626 414 96 10 5 2 1 \n", + "\n", + "T : 93250 5419 1119 128 41 27 16 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 9.3981e-03 sec\n", + "--- Collate = 6.4274e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.848000e-06 < 1.562500e-03 [7]\n", + "--- Max DT=3.049349e-01 > 1.000000e-01 [71621]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71621/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=27.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00111319 [ 0.40 %]\n", + "Velocity : 0.00283823 [ 1.02 %]\n", + "Force : 0.0531029 [ 19.08 %]\n", + "Coefs : 0.0233371 [ 8.39 %]\n", + "Output : 0.00542831 [ 1.95 %]\n", + "Levels : 0.000260597 [ 0.09 %]\n", + "Report : 4.33e-07 [ 0.00 %]\n", + "Balance : 3.69e-07 [ 0.00 %]\n", + "Adjust : 0.191987 [ 68.99 %]\n", + "Total : 0.278265 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6638 402 90 7 3 2 0 \n", + "1 : 6621 441 64 7 3 1 5 \n", + "2 : 6690 370 69 8 2 1 2 \n", + "3 : 6658 387 81 10 1 4 1 \n", + "4 : 6632 405 86 9 7 1 2 \n", + "5 : 6651 389 80 16 2 2 2 \n", + "6 : 6677 379 72 6 6 0 2 \n", + "7 : 6665 384 80 8 4 0 1 \n", + "8 : 6648 401 77 13 1 2 0 \n", + "9 : 6676 385 70 7 3 1 0 \n", + "10 : 6691 349 87 8 4 0 3 \n", + "11 : 6697 351 82 10 1 0 1 \n", + "12 : 6674 379 74 8 4 1 2 \n", + "13 : 6627 411 98 9 4 3 2 \n", + "\n", + "T : 93245 5433 1110 126 45 18 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 9.0721e-03 sec\n", + "--- Collate = 6.5728e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.788050e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.049194e-01 > 1.000000e-01 [71626]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71626/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=27.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00109694 [ 0.39 %]\n", + "Velocity : 0.00269338 [ 0.96 %]\n", + "Force : 0.0549907 [ 19.57 %]\n", + "Coefs : 0.0251359 [ 8.95 %]\n", + "Output : 0.00523664 [ 1.86 %]\n", + "Levels : 0.000248408 [ 0.09 %]\n", + "Report : 7.89e-07 [ 0.00 %]\n", + "Balance : 3.42e-07 [ 0.00 %]\n", + "Adjust : 0.191372 [ 68.11 %]\n", + "Total : 0.280965 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6638 402 88 9 4 1 0 \n", + "1 : 6625 436 66 7 2 2 4 \n", + "2 : 6690 373 66 8 0 3 2 \n", + "3 : 6657 388 81 10 2 3 1 \n", + "4 : 6633 403 89 10 3 1 3 \n", + "5 : 6648 392 82 15 2 1 2 \n", + "6 : 6677 379 72 7 3 2 2 \n", + "7 : 6666 385 77 10 2 1 1 \n", + "8 : 6646 400 82 9 3 2 0 \n", + "9 : 6672 391 67 8 3 1 0 \n", + "10 : 6689 354 84 7 3 2 3 \n", + "11 : 6696 353 81 8 3 0 1 \n", + "12 : 6671 382 76 7 3 2 1 \n", + "13 : 6625 411 100 8 4 2 4 \n", + "\n", + "T : 93233 5449 1111 123 37 23 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.9409e-03 sec\n", + "--- Collate = 5.6449e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.339809e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.049013e-01 > 1.000000e-01 [71637]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71637/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=27.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00116285 [ 0.42 %]\n", + "Velocity : 0.00288652 [ 1.04 %]\n", + "Force : 0.0531401 [ 19.10 %]\n", + "Coefs : 0.0244801 [ 8.80 %]\n", + "Output : 0.00551429 [ 1.98 %]\n", + "Levels : 0.000268137 [ 0.10 %]\n", + "Report : 4.56e-07 [ 0.00 %]\n", + "Balance : 3.32e-07 [ 0.00 %]\n", + "Adjust : 0.190575 [ 68.50 %]\n", + "Total : 0.278209 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6640 400 89 5 7 0 1 \n", + "1 : 6627 434 67 6 3 2 3 \n", + "2 : 6692 372 64 7 3 2 2 \n", + "3 : 6657 388 80 10 4 2 1 \n", + "4 : 6633 402 88 12 2 1 4 \n", + "5 : 6646 393 84 13 1 2 3 \n", + "6 : 6677 378 73 8 2 2 2 \n", + "7 : 6665 386 78 9 1 1 2 \n", + "8 : 6643 402 83 9 3 0 2 \n", + "9 : 6675 389 65 9 2 2 0 \n", + "10 : 6690 353 86 5 3 4 1 \n", + "11 : 6697 352 80 8 3 1 1 \n", + "12 : 6671 382 78 4 4 2 1 \n", + "13 : 6624 412 99 10 2 3 4 \n", + "\n", + "T : 93237 5443 1114 115 40 24 27 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.8297e-03 sec\n", + "--- Collate = 6.5206e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.709512e-06 < 1.562500e-03 [11]\n", + "--- Max DT=3.048809e-01 > 1.000000e-01 [71636]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71636/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=27.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000940066 [ 0.37 %]\n", + "Velocity : 0.00254488 [ 1.00 %]\n", + "Force : 0.0488941 [ 19.30 %]\n", + "Coefs : 0.0231252 [ 9.13 %]\n", + "Output : 0.00487967 [ 1.93 %]\n", + "Levels : 0.000277554 [ 0.11 %]\n", + "Report : 7.66e-07 [ 0.00 %]\n", + "Balance : 3.48e-07 [ 0.00 %]\n", + "Adjust : 0.172464 [ 68.09 %]\n", + "Total : 0.253297 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6639 402 88 7 4 1 1 \n", + "1 : 6628 431 69 5 4 4 1 \n", + "2 : 6693 372 64 5 5 0 3 \n", + "3 : 6656 390 81 9 4 1 1 \n", + "4 : 6634 403 86 10 5 1 3 \n", + "5 : 6645 394 86 11 0 3 3 \n", + "6 : 6680 375 74 9 0 2 2 \n", + "7 : 6666 386 79 5 2 3 1 \n", + "8 : 6647 401 80 7 5 1 1 \n", + "9 : 6673 392 62 13 0 1 1 \n", + "10 : 6688 355 85 5 3 5 1 \n", + "11 : 6695 353 82 7 2 2 1 \n", + "12 : 6671 382 78 4 2 3 2 \n", + "13 : 6623 413 99 10 4 2 3 \n", + "\n", + "T : 93238 5449 1113 107 40 29 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.1932e-03 sec\n", + "--- Collate = 5.8545e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.840975e-06 < 1.562500e-03 [12]\n", + "--- Max DT=3.048581e-01 > 1.000000e-01 [71635]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71635/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=27.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00124089 [ 0.48 %]\n", + "Velocity : 0.00259001 [ 1.01 %]\n", + "Force : 0.0499356 [ 19.46 %]\n", + "Coefs : 0.0233415 [ 9.09 %]\n", + "Output : 0.00487281 [ 1.90 %]\n", + "Levels : 0.000252041 [ 0.10 %]\n", + "Report : 4.74e-07 [ 0.00 %]\n", + "Balance : 3.48e-07 [ 0.00 %]\n", + "Adjust : 0.174261 [ 67.89 %]\n", + "Total : 0.256665 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6640 400 90 7 2 1 2 \n", + "1 : 6628 430 70 8 5 0 1 \n", + "2 : 6694 371 63 6 5 1 2 \n", + "3 : 6654 391 84 6 5 1 1 \n", + "4 : 6635 402 87 11 2 4 1 \n", + "5 : 6644 395 85 11 1 3 3 \n", + "6 : 6676 379 73 10 1 1 2 \n", + "7 : 6668 383 81 3 3 1 3 \n", + "8 : 6650 398 80 8 4 1 1 \n", + "9 : 6672 393 60 14 1 0 2 \n", + "10 : 6691 353 85 3 6 3 1 \n", + "11 : 6694 354 83 6 2 2 1 \n", + "12 : 6670 383 77 5 1 3 3 \n", + "13 : 6622 415 98 8 6 4 1 \n", + "\n", + "T : 93238 5447 1116 106 44 25 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.9135e-03 sec\n", + "--- Collate = 6.4901e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.078516e-06 < 1.562500e-03 [12]\n", + "--- Max DT=3.048331e-01 > 1.000000e-01 [71642]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71642/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=27.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000740256 [ 0.29 %]\n", + "Velocity : 0.0024141 [ 0.93 %]\n", + "Force : 0.0524104 [ 20.18 %]\n", + "Coefs : 0.0251687 [ 9.69 %]\n", + "Output : 0.00451897 [ 1.74 %]\n", + "Levels : 0.000334137 [ 0.13 %]\n", + "Report : 6.99e-07 [ 0.00 %]\n", + "Balance : 4.45e-07 [ 0.00 %]\n", + "Adjust : 0.173928 [ 66.98 %]\n", + "Total : 0.259684 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6638 402 89 6 3 3 1 \n", + "1 : 6628 431 68 10 4 0 1 \n", + "2 : 6694 371 64 6 5 1 1 \n", + "3 : 6653 393 83 8 2 1 2 \n", + "4 : 6638 398 88 12 2 2 2 \n", + "5 : 6642 395 86 12 3 1 3 \n", + "6 : 6676 378 71 12 3 1 1 \n", + "7 : 6669 383 80 4 1 2 3 \n", + "8 : 6650 398 81 8 2 3 0 \n", + "9 : 6672 393 61 13 1 0 2 \n", + "10 : 6690 353 85 5 6 1 2 \n", + "11 : 6695 353 83 6 2 1 2 \n", + "12 : 6671 383 73 6 4 0 5 \n", + "13 : 6623 412 99 10 5 5 0 \n", + "\n", + "T : 93239 5443 1111 118 43 21 25 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 9.2042e-03 sec\n", + "--- Collate = 6.9417e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.937119e-06 < 1.562500e-03 [12]\n", + "--- Max DT=3.048059e-01 > 1.000000e-01 [71647]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71647/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=27.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00116222 [ 0.42 %]\n", + "Velocity : 0.00278766 [ 1.01 %]\n", + "Force : 0.0559867 [ 20.24 %]\n", + "Coefs : 0.0269797 [ 9.75 %]\n", + "Output : 0.00483343 [ 1.75 %]\n", + "Levels : 0.000269184 [ 0.10 %]\n", + "Report : 6.84e-07 [ 0.00 %]\n", + "Balance : 3.99e-07 [ 0.00 %]\n", + "Adjust : 0.184481 [ 66.68 %]\n", + "Total : 0.27668 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6640 399 89 7 4 0 3 \n", + "1 : 6626 431 69 13 1 2 0 \n", + "2 : 6694 371 64 6 6 1 0 \n", + "3 : 6649 397 83 9 0 2 2 \n", + "4 : 6639 398 87 8 5 3 2 \n", + "5 : 6642 395 88 10 3 2 2 \n", + "6 : 6675 377 72 12 5 1 0 \n", + "7 : 6667 384 81 3 1 2 4 \n", + "8 : 6652 397 81 7 3 1 1 \n", + "9 : 6671 393 64 11 0 2 1 \n", + "10 : 6689 354 85 7 3 2 2 \n", + "11 : 6698 351 82 6 2 2 1 \n", + "12 : 6674 380 72 7 2 3 4 \n", + "13 : 6620 415 101 8 5 4 1 \n", + "\n", + "T : 93236 5442 1118 114 40 27 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.1173e-03 sec\n", + "--- Collate = 4.3589e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.385295e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.047767e-01 > 1.000000e-01 [71642]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71642/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=28] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00112253 [ 0.37 %]\n", + "Velocity : 0.00224801 [ 0.74 %]\n", + "Force : 0.0550945 [ 18.07 %]\n", + "Coefs : 0.0265024 [ 8.69 %]\n", + "Output : 0.0324758 [ 10.65 %]\n", + "Levels : 0.000225193 [ 0.07 %]\n", + "Report : 1.034e-06 [ 0.00 %]\n", + "Balance : 7.81e-07 [ 0.00 %]\n", + "Adjust : 0.187095 [ 61.35 %]\n", + "Total : 0.304946 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6640 398 90 6 3 3 2 \n", + "1 : 6627 427 72 12 2 1 1 \n", + "2 : 6695 370 64 7 6 0 0 \n", + "3 : 6650 396 84 8 0 2 2 \n", + "4 : 6639 398 89 5 6 1 4 \n", + "5 : 6644 394 87 8 5 3 1 \n", + "6 : 6673 378 74 14 2 1 0 \n", + "7 : 6670 380 81 4 1 4 2 \n", + "8 : 6651 399 80 9 1 1 1 \n", + "9 : 6673 391 65 9 2 1 1 \n", + "10 : 6690 357 80 9 2 2 2 \n", + "11 : 6699 349 81 8 3 0 2 \n", + "12 : 6675 378 75 7 1 2 4 \n", + "13 : 6621 413 102 9 4 3 2 \n", + "\n", + "T : 93247 5428 1124 115 38 24 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.9837e-03 sec\n", + "--- Collate = 5.9030e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.554129e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.047454e-01 > 1.000000e-01 [71624]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71624/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=28.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000813062 [ 0.35 %]\n", + "Velocity : 0.00233744 [ 1.00 %]\n", + "Force : 0.0519199 [ 22.14 %]\n", + "Coefs : 0.0247852 [ 10.57 %]\n", + "Output : 0.00382425 [ 1.63 %]\n", + "Levels : 0.000260828 [ 0.11 %]\n", + "Report : 7.92e-07 [ 0.00 %]\n", + "Balance : 3.69e-07 [ 0.00 %]\n", + "Adjust : 0.15046 [ 64.15 %]\n", + "Total : 0.234552 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6640 396 91 7 3 2 3 \n", + "1 : 6631 423 74 9 4 0 1 \n", + "2 : 6692 372 65 9 3 1 0 \n", + "3 : 6647 400 81 10 1 2 1 \n", + "4 : 6641 393 88 10 5 3 2 \n", + "5 : 6643 394 87 10 3 4 1 \n", + "6 : 6673 378 76 12 1 1 1 \n", + "7 : 6669 383 78 3 6 1 2 \n", + "8 : 6652 399 78 10 1 0 2 \n", + "9 : 6670 394 67 7 3 0 1 \n", + "10 : 6690 359 79 8 2 2 2 \n", + "11 : 6702 349 78 9 2 1 1 \n", + "12 : 6674 378 73 9 2 2 4 \n", + "13 : 6623 414 99 9 4 3 2 \n", + "\n", + "T : 93247 5432 1114 122 40 22 23 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0951e-02 sec\n", + "--- Collate = 8.7600e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.589895e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.047124e-01 > 1.000000e-01 [71631]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71631/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=28.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000824648 [ 0.29 %]\n", + "Velocity : 0.00252477 [ 0.89 %]\n", + "Force : 0.0581004 [ 20.57 %]\n", + "Coefs : 0.0280903 [ 9.94 %]\n", + "Output : 0.00449621 [ 1.59 %]\n", + "Levels : 0.000351148 [ 0.12 %]\n", + "Report : 6.96e-07 [ 0.00 %]\n", + "Balance : 5.99e-07 [ 0.00 %]\n", + "Adjust : 0.187921 [ 66.53 %]\n", + "Total : 0.282474 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6641 396 91 6 4 3 1 \n", + "1 : 6632 422 73 7 7 1 0 \n", + "2 : 6693 371 64 10 2 1 1 \n", + "3 : 6644 403 79 11 3 1 1 \n", + "4 : 6639 392 91 11 4 2 3 \n", + "5 : 6643 393 88 9 4 4 1 \n", + "6 : 6672 378 75 13 2 1 1 \n", + "7 : 6665 387 79 5 2 3 1 \n", + "8 : 6652 400 74 13 1 1 1 \n", + "9 : 6671 393 66 9 0 2 1 \n", + "10 : 6689 360 79 10 2 0 2 \n", + "11 : 6700 352 77 9 3 1 0 \n", + "12 : 6674 379 72 10 1 2 4 \n", + "13 : 6622 416 98 8 6 1 3 \n", + "\n", + "T : 93237 5442 1106 131 41 23 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.8924e-03 sec\n", + "--- Collate = 6.7413e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.047396e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.047012e-01 > 1.000000e-01 [71647]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71647/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=28.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000916186 [ 0.30 %]\n", + "Velocity : 0.00247183 [ 0.81 %]\n", + "Force : 0.0674853 [ 22.23 %]\n", + "Coefs : 0.0327003 [ 10.77 %]\n", + "Output : 0.00510967 [ 1.68 %]\n", + "Levels : 0.00027107 [ 0.09 %]\n", + "Report : 5.37e-07 [ 0.00 %]\n", + "Balance : 4.04e-07 [ 0.00 %]\n", + "Adjust : 0.19441 [ 64.04 %]\n", + "Total : 0.303556 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6643 394 90 9 3 1 2 \n", + "1 : 6634 420 71 9 5 3 0 \n", + "2 : 6693 371 64 8 2 3 1 \n", + "3 : 6647 401 79 9 5 1 0 \n", + "4 : 6641 391 91 10 3 4 2 \n", + "5 : 6643 394 85 11 6 1 2 \n", + "6 : 6672 377 75 12 4 0 2 \n", + "7 : 6661 394 76 6 3 0 2 \n", + "8 : 6655 399 71 13 2 1 1 \n", + "9 : 6670 394 67 7 0 3 1 \n", + "10 : 6691 358 77 14 0 0 2 \n", + "11 : 6702 350 78 10 1 1 0 \n", + "12 : 6673 381 71 7 4 3 3 \n", + "13 : 6623 415 98 9 2 5 2 \n", + "\n", + "T : 93248 5439 1093 134 40 26 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.6988e-03 sec\n", + "--- Collate = 7.0108e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.802244e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.046978e-01 > 1.000000e-01 [71649]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71649/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=28.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0011314 [ 0.41 %]\n", + "Velocity : 0.00271432 [ 0.98 %]\n", + "Force : 0.0544182 [ 19.58 %]\n", + "Coefs : 0.0259094 [ 9.32 %]\n", + "Output : 0.00517476 [ 1.86 %]\n", + "Levels : 0.00024764 [ 0.09 %]\n", + "Report : 7.89e-07 [ 0.00 %]\n", + "Balance : 3.56e-07 [ 0.00 %]\n", + "Adjust : 0.188194 [ 67.70 %]\n", + "Total : 0.277969 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6642 395 90 10 2 2 1 \n", + "1 : 6633 421 71 9 4 2 2 \n", + "2 : 6690 375 64 5 2 4 2 \n", + "3 : 6644 404 80 8 5 1 0 \n", + "4 : 6642 391 90 10 4 3 2 \n", + "5 : 6643 395 83 13 5 1 2 \n", + "6 : 6670 378 77 11 2 3 1 \n", + "7 : 6661 394 76 3 5 2 1 \n", + "8 : 6653 400 71 14 2 2 0 \n", + "9 : 6671 392 66 9 0 1 3 \n", + "10 : 6687 363 76 12 1 2 1 \n", + "11 : 6702 350 78 10 1 0 1 \n", + "12 : 6672 381 72 7 7 1 2 \n", + "13 : 6623 416 96 9 3 4 3 \n", + "\n", + "T : 93233 5455 1090 130 43 28 21 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.4638e-03 sec\n", + "--- Collate = 5.9679e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.220705e-06 < 1.562500e-03 [11]\n", + "--- Max DT=3.046944e-01 > 1.000000e-01 [71635]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71635/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=28.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00107361 [ 0.41 %]\n", + "Velocity : 0.00255732 [ 0.99 %]\n", + "Force : 0.0522181 [ 20.14 %]\n", + "Coefs : 0.024021 [ 9.26 %]\n", + "Output : 0.00489919 [ 1.89 %]\n", + "Levels : 0.000290777 [ 0.11 %]\n", + "Report : 6.73e-07 [ 0.00 %]\n", + "Balance : 3.9e-07 [ 0.00 %]\n", + "Adjust : 0.174077 [ 67.13 %]\n", + "Total : 0.259312 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6641 396 91 10 2 0 2 \n", + "1 : 6632 424 69 7 5 3 2 \n", + "2 : 6691 374 65 4 1 2 5 \n", + "3 : 6645 403 79 11 3 1 0 \n", + "4 : 6642 391 91 9 5 1 3 \n", + "5 : 6643 396 82 14 5 0 2 \n", + "6 : 6669 376 79 11 2 3 2 \n", + "7 : 6659 396 75 5 3 0 4 \n", + "8 : 6652 402 73 12 2 0 1 \n", + "9 : 6671 392 65 10 1 0 3 \n", + "10 : 6687 362 76 13 2 2 0 \n", + "11 : 6699 352 81 8 1 0 1 \n", + "12 : 6670 383 71 8 7 3 0 \n", + "13 : 6623 414 98 6 7 3 3 \n", + "\n", + "T : 93224 5461 1095 128 46 18 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.7076e-03 sec\n", + "--- Collate = 6.1365e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.351084e-05 < 1.562500e-03 [17]\n", + "--- Max DT=3.046906e-01 > 1.000000e-01 [71641]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71641/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=28.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000925876 [ 0.38 %]\n", + "Velocity : 0.00231674 [ 0.94 %]\n", + "Force : 0.0488885 [ 19.85 %]\n", + "Coefs : 0.0224508 [ 9.12 %]\n", + "Output : 0.00471929 [ 1.92 %]\n", + "Levels : 0.000234589 [ 0.10 %]\n", + "Report : 6.21e-07 [ 0.00 %]\n", + "Balance : 4.01e-07 [ 0.00 %]\n", + "Adjust : 0.166588 [ 67.64 %]\n", + "Total : 0.246286 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6642 392 95 9 3 0 1 \n", + "1 : 6630 425 70 7 4 2 4 \n", + "2 : 6691 372 66 5 1 2 5 \n", + "3 : 6644 405 78 11 2 1 1 \n", + "4 : 6644 389 91 8 5 3 2 \n", + "5 : 6644 395 85 12 4 1 1 \n", + "6 : 6670 377 76 12 2 2 3 \n", + "7 : 6660 395 75 7 1 1 3 \n", + "8 : 6651 402 73 13 2 0 1 \n", + "9 : 6670 393 65 10 1 1 2 \n", + "10 : 6684 364 81 9 2 2 0 \n", + "11 : 6701 350 80 8 1 1 1 \n", + "12 : 6669 382 74 9 6 2 0 \n", + "13 : 6620 418 98 7 5 3 3 \n", + "\n", + "T : 93220 5459 1107 127 39 21 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.5674e-03 sec\n", + "--- Collate = 5.8696e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.073422e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.046868e-01 > 1.000000e-01 [71648]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71648/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=28.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000951636 [ 0.36 %]\n", + "Velocity : 0.00237525 [ 0.91 %]\n", + "Force : 0.0505791 [ 19.29 %]\n", + "Coefs : 0.0249048 [ 9.50 %]\n", + "Output : 0.00504122 [ 1.92 %]\n", + "Levels : 0.000229585 [ 0.09 %]\n", + "Report : 7.03e-07 [ 0.00 %]\n", + "Balance : 3.89e-07 [ 0.00 %]\n", + "Adjust : 0.177953 [ 67.87 %]\n", + "Total : 0.262205 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6639 397 94 7 3 1 1 \n", + "1 : 6629 426 70 7 4 3 3 \n", + "2 : 6689 374 66 4 2 2 5 \n", + "3 : 6646 402 79 12 1 1 1 \n", + "4 : 6643 390 88 11 6 2 2 \n", + "5 : 6642 396 84 15 4 1 0 \n", + "6 : 6671 376 76 11 3 1 4 \n", + "7 : 6659 395 76 5 3 0 4 \n", + "8 : 6649 404 75 12 1 1 0 \n", + "9 : 6671 392 65 9 3 2 0 \n", + "10 : 6685 362 81 10 4 0 0 \n", + "11 : 6699 351 79 9 1 2 1 \n", + "12 : 6669 382 74 11 5 0 1 \n", + "13 : 6619 419 98 7 5 4 2 \n", + "\n", + "T : 93210 5466 1105 130 45 20 24 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.1299e-03 sec\n", + "--- Collate = 4.3706e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.245648e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.046824e-01 > 1.000000e-01 [71652]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71652/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=28.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000973854 [ 0.38 %]\n", + "Velocity : 0.00254676 [ 0.99 %]\n", + "Force : 0.0491032 [ 19.06 %]\n", + "Coefs : 0.0228113 [ 8.85 %]\n", + "Output : 0.0049678 [ 1.93 %]\n", + "Levels : 0.000223947 [ 0.09 %]\n", + "Report : 8.08e-07 [ 0.00 %]\n", + "Balance : 3.38e-07 [ 0.00 %]\n", + "Adjust : 0.176891 [ 68.65 %]\n", + "Total : 0.257677 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6638 399 93 6 3 2 1 \n", + "1 : 6628 428 68 9 2 3 4 \n", + "2 : 6690 374 66 2 3 4 3 \n", + "3 : 6647 401 78 13 1 0 2 \n", + "4 : 6642 390 88 14 5 1 2 \n", + "5 : 6643 396 80 19 4 0 0 \n", + "6 : 6671 376 78 10 1 2 4 \n", + "7 : 6660 396 75 4 3 3 1 \n", + "8 : 6650 404 73 10 3 2 0 \n", + "9 : 6670 394 62 12 3 1 0 \n", + "10 : 6684 362 82 10 4 0 0 \n", + "11 : 6697 353 79 7 4 0 2 \n", + "12 : 6671 381 74 12 3 0 1 \n", + "13 : 6621 417 99 8 4 3 2 \n", + "\n", + "T : 93212 5471 1095 136 43 21 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.6114e-03 sec\n", + "--- Collate = 5.8338e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.686265e-06 < 1.562500e-03 [13]\n", + "--- Max DT=3.046781e-01 > 1.000000e-01 [71624]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71624/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=28.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000965973 [ 0.40 %]\n", + "Velocity : 0.002565 [ 1.06 %]\n", + "Force : 0.0481243 [ 19.81 %]\n", + "Coefs : 0.021826 [ 8.98 %]\n", + "Output : 0.00460139 [ 1.89 %]\n", + "Levels : 0.000283643 [ 0.12 %]\n", + "Report : 6.54e-07 [ 0.00 %]\n", + "Balance : 3.31e-07 [ 0.00 %]\n", + "Adjust : 0.164379 [ 67.67 %]\n", + "Total : 0.242922 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6638 399 91 8 1 3 2 \n", + "1 : 6626 429 68 10 5 2 2 \n", + "2 : 6686 377 66 3 6 1 3 \n", + "3 : 6647 401 81 10 1 1 1 \n", + "4 : 6640 391 90 15 3 1 2 \n", + "5 : 6643 397 81 14 6 1 0 \n", + "6 : 6672 375 80 7 2 4 2 \n", + "7 : 6661 394 76 4 3 3 1 \n", + "8 : 6651 404 73 8 4 2 0 \n", + "9 : 6670 394 63 10 3 2 0 \n", + "10 : 6683 363 81 11 3 1 0 \n", + "11 : 6694 355 79 9 3 0 2 \n", + "12 : 6670 384 74 11 2 0 1 \n", + "13 : 6621 416 99 9 4 2 3 \n", + "\n", + "T : 93202 5479 1102 129 46 23 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.7222e-03 sec\n", + "--- Collate = 4.8836e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.595169e-04 < 1.562500e-03 [6]\n", + "--- Max DT=3.046736e-01 > 1.000000e-01 [71620]\n", + "----------------------------------------------------------------------\n", + " Component | low: 6/100000\n", + " Component | high: 71620/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=29] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000933322 [ 0.34 %]\n", + "Velocity : 0.00255419 [ 0.94 %]\n", + "Force : 0.0477971 [ 17.51 %]\n", + "Coefs : 0.022317 [ 8.18 %]\n", + "Output : 0.0327198 [ 11.99 %]\n", + "Levels : 0.000238555 [ 0.09 %]\n", + "Report : 1.42e-06 [ 0.00 %]\n", + "Balance : 6.64e-07 [ 0.00 %]\n", + "Adjust : 0.166212 [ 60.90 %]\n", + "Total : 0.272935 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6637 400 92 8 1 0 4 \n", + "1 : 6623 437 63 12 4 1 2 \n", + "2 : 6685 378 66 5 4 2 2 \n", + "3 : 6649 398 84 7 2 1 1 \n", + "4 : 6642 390 87 17 3 1 2 \n", + "5 : 6644 395 81 14 5 3 0 \n", + "6 : 6671 375 79 9 4 3 1 \n", + "7 : 6663 393 76 5 3 2 0 \n", + "8 : 6652 404 71 7 6 0 2 \n", + "9 : 6670 394 62 12 2 1 1 \n", + "10 : 6684 363 80 9 4 1 1 \n", + "11 : 6695 354 80 8 2 2 1 \n", + "12 : 6670 386 73 9 3 1 0 \n", + "13 : 6622 414 101 8 5 0 4 \n", + "\n", + "T : 93207 5481 1095 130 48 18 21 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.9030e-03 sec\n", + "--- Collate = 5.6067e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.733094e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.046690e-01 > 1.000000e-01 [71617]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71617/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=29.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000858934 [ 0.35 %]\n", + "Velocity : 0.0025672 [ 1.06 %]\n", + "Force : 0.0479057 [ 19.80 %]\n", + "Coefs : 0.0218805 [ 9.04 %]\n", + "Output : 0.00477693 [ 1.97 %]\n", + "Levels : 0.00025919 [ 0.11 %]\n", + "Report : 8.38e-07 [ 0.00 %]\n", + "Balance : 3.99e-07 [ 0.00 %]\n", + "Adjust : 0.163568 [ 67.59 %]\n", + "Total : 0.241983 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6640 397 91 9 1 1 3 \n", + "1 : 6624 436 65 11 2 2 2 \n", + "2 : 6687 379 63 7 3 2 1 \n", + "3 : 6648 399 84 8 1 1 1 \n", + "4 : 6642 390 88 16 3 2 1 \n", + "5 : 6643 397 79 13 7 1 2 \n", + "6 : 6673 375 77 6 7 3 1 \n", + "7 : 6663 393 76 5 3 2 0 \n", + "8 : 6652 403 72 7 5 1 2 \n", + "9 : 6669 396 60 12 3 0 2 \n", + "10 : 6683 364 79 12 1 1 2 \n", + "11 : 6695 353 81 8 1 3 1 \n", + "12 : 6669 389 71 8 4 1 0 \n", + "13 : 6623 413 100 12 2 2 2 \n", + "\n", + "T : 93211 5484 1086 134 43 22 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.4105e-03 sec\n", + "--- Collate = 6.3221e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.017502e-04 < 1.562500e-03 [11]\n", + "--- Max DT=3.046644e-01 > 1.000000e-01 [71597]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71597/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=29.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000942094 [ 0.39 %]\n", + "Velocity : 0.00257934 [ 1.06 %]\n", + "Force : 0.0461236 [ 19.01 %]\n", + "Coefs : 0.0221741 [ 9.14 %]\n", + "Output : 0.00461032 [ 1.90 %]\n", + "Levels : 0.000272598 [ 0.11 %]\n", + "Report : 6.64e-07 [ 0.00 %]\n", + "Balance : 3.38e-07 [ 0.00 %]\n", + "Adjust : 0.165773 [ 68.32 %]\n", + "Total : 0.242639 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6641 395 92 9 1 2 2 \n", + "1 : 6624 436 65 12 2 0 3 \n", + "2 : 6687 380 63 5 5 1 1 \n", + "3 : 6649 398 85 5 4 0 1 \n", + "4 : 6644 388 89 15 3 2 1 \n", + "5 : 6645 397 78 11 6 2 3 \n", + "6 : 6673 376 76 6 6 3 2 \n", + "7 : 6663 392 78 5 3 0 1 \n", + "8 : 6651 403 73 7 3 3 2 \n", + "9 : 6669 396 62 11 0 2 2 \n", + "10 : 6684 363 80 10 2 0 3 \n", + "11 : 6695 353 81 7 2 1 3 \n", + "12 : 6670 388 71 7 5 1 0 \n", + "13 : 6620 416 102 10 3 2 1 \n", + "\n", + "T : 93215 5481 1095 120 45 19 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.6939e-03 sec\n", + "--- Collate = 7.5938e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.529010e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.046600e-01 > 1.000000e-01 [71600]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71600/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=29.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000964466 [ 0.39 %]\n", + "Velocity : 0.00253835 [ 1.04 %]\n", + "Force : 0.0470615 [ 19.20 %]\n", + "Coefs : 0.0217505 [ 8.88 %]\n", + "Output : 0.00472072 [ 1.93 %]\n", + "Levels : 0.000276909 [ 0.11 %]\n", + "Report : 4.39e-07 [ 0.00 %]\n", + "Balance : 3.42e-07 [ 0.00 %]\n", + "Adjust : 0.167593 [ 68.39 %]\n", + "Total : 0.245073 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6638 398 92 9 1 4 0 \n", + "1 : 6622 438 65 12 2 1 2 \n", + "2 : 6687 381 62 6 4 1 1 \n", + "3 : 6650 397 85 5 3 1 1 \n", + "4 : 6643 389 89 12 7 1 1 \n", + "5 : 6642 400 80 8 4 4 4 \n", + "6 : 6673 377 74 7 5 4 2 \n", + "7 : 6664 392 77 6 1 1 1 \n", + "8 : 6653 400 74 7 3 3 2 \n", + "9 : 6669 395 63 11 0 1 3 \n", + "10 : 6682 366 80 8 2 2 2 \n", + "11 : 6695 354 79 8 3 0 3 \n", + "12 : 6667 391 72 3 7 2 0 \n", + "13 : 6621 415 101 12 3 2 0 \n", + "\n", + "T : 93206 5493 1093 114 45 27 22 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.1278e-03 sec\n", + "--- Collate = 5.6267e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.374147e-06 < 1.562500e-03 [13]\n", + "--- Max DT=3.046555e-01 > 1.000000e-01 [71603]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71603/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=29.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000968051 [ 0.40 %]\n", + "Velocity : 0.00243499 [ 1.01 %]\n", + "Force : 0.0473232 [ 19.57 %]\n", + "Coefs : 0.0216109 [ 8.94 %]\n", + "Output : 0.00472893 [ 1.96 %]\n", + "Levels : 0.000219207 [ 0.09 %]\n", + "Report : 6.34e-07 [ 0.00 %]\n", + "Balance : 3.93e-07 [ 0.00 %]\n", + "Adjust : 0.164277 [ 67.95 %]\n", + "Total : 0.241757 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6636 398 92 11 3 1 1 \n", + "1 : 6623 437 67 12 1 0 2 \n", + "2 : 6687 380 62 7 3 2 1 \n", + "3 : 6650 397 85 6 2 1 1 \n", + "4 : 6641 391 88 12 7 2 1 \n", + "5 : 6643 397 82 10 2 3 5 \n", + "6 : 6671 379 74 8 3 3 4 \n", + "7 : 6664 395 75 5 1 1 1 \n", + "8 : 6653 400 75 6 5 1 2 \n", + "9 : 6670 394 64 10 1 1 2 \n", + "10 : 6680 369 79 7 3 2 2 \n", + "11 : 6699 350 79 7 4 1 2 \n", + "12 : 6668 390 71 4 6 2 1 \n", + "13 : 6621 416 102 11 2 2 0 \n", + "\n", + "T : 93206 5493 1095 116 43 22 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.5333e-03 sec\n", + "--- Collate = 5.4152e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.772426e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.046510e-01 > 1.000000e-01 [71611]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71611/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=29.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000768934 [ 0.31 %]\n", + "Velocity : 0.00210066 [ 0.85 %]\n", + "Force : 0.0484486 [ 19.70 %]\n", + "Coefs : 0.0237516 [ 9.66 %]\n", + "Output : 0.00480723 [ 1.95 %]\n", + "Levels : 0.000249474 [ 0.10 %]\n", + "Report : 7.25e-07 [ 0.00 %]\n", + "Balance : 3.21e-07 [ 0.00 %]\n", + "Adjust : 0.165659 [ 67.34 %]\n", + "Total : 0.245994 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6636 396 95 9 5 0 1 \n", + "1 : 6622 437 69 9 2 2 1 \n", + "2 : 6686 380 64 7 2 3 0 \n", + "3 : 6649 399 80 10 1 2 1 \n", + "4 : 6641 391 88 13 5 3 1 \n", + "5 : 6641 399 83 8 4 1 6 \n", + "6 : 6670 380 74 9 3 3 3 \n", + "7 : 6664 395 75 6 0 1 1 \n", + "8 : 6655 398 76 5 6 0 2 \n", + "9 : 6669 394 65 9 3 0 2 \n", + "10 : 6679 368 81 8 4 1 1 \n", + "11 : 6697 352 81 6 4 1 1 \n", + "12 : 6667 388 74 5 2 3 3 \n", + "13 : 6618 420 103 9 3 0 1 \n", + "\n", + "T : 93194 5497 1108 113 44 20 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.5678e-03 sec\n", + "--- Collate = 5.2403e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.868493e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.046463e-01 > 1.000000e-01 [71620]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71620/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=29.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000937387 [ 0.39 %]\n", + "Velocity : 0.00237809 [ 0.98 %]\n", + "Force : 0.0470636 [ 19.42 %]\n", + "Coefs : 0.0217227 [ 8.96 %]\n", + "Output : 0.00472394 [ 1.95 %]\n", + "Levels : 0.000294565 [ 0.12 %]\n", + "Report : 4.52e-07 [ 0.00 %]\n", + "Balance : 4.06e-07 [ 0.00 %]\n", + "Adjust : 0.165063 [ 68.11 %]\n", + "Total : 0.242361 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6634 398 95 9 5 0 1 \n", + "1 : 6622 436 70 8 3 0 3 \n", + "2 : 6685 382 64 6 2 1 2 \n", + "3 : 6649 401 78 8 4 1 1 \n", + "4 : 6645 387 89 9 8 1 3 \n", + "5 : 6642 397 83 7 6 2 5 \n", + "6 : 6671 379 75 9 2 2 4 \n", + "7 : 6661 397 77 5 1 0 1 \n", + "8 : 6653 399 78 3 7 2 0 \n", + "9 : 6672 389 69 8 2 2 0 \n", + "10 : 6679 367 82 9 2 2 1 \n", + "11 : 6696 350 83 7 3 3 0 \n", + "12 : 6668 387 76 4 1 1 5 \n", + "13 : 6618 422 100 9 4 0 1 \n", + "\n", + "T : 93195 5491 1119 101 50 17 27 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.6987e-03 sec\n", + "--- Collate = 5.2039e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.674235e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.046417e-01 > 1.000000e-01 [71625]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71625/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=29.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000942292 [ 0.38 %]\n", + "Velocity : 0.00233698 [ 0.93 %]\n", + "Force : 0.0492454 [ 19.65 %]\n", + "Coefs : 0.02247 [ 8.97 %]\n", + "Output : 0.00500278 [ 2.00 %]\n", + "Levels : 0.000231659 [ 0.09 %]\n", + "Report : 6.08e-07 [ 0.00 %]\n", + "Balance : 3.57e-07 [ 0.00 %]\n", + "Adjust : 0.17014 [ 67.91 %]\n", + "Total : 0.250555 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6633 400 93 9 5 2 0 \n", + "1 : 6625 433 71 7 2 2 2 \n", + "2 : 6687 380 64 4 5 0 2 \n", + "3 : 6653 397 79 6 5 1 1 \n", + "4 : 6644 386 95 5 6 3 3 \n", + "5 : 6641 399 80 10 7 3 2 \n", + "6 : 6674 376 76 7 5 3 1 \n", + "7 : 6662 396 75 7 1 0 1 \n", + "8 : 6653 399 77 6 3 4 0 \n", + "9 : 6673 387 70 9 3 0 0 \n", + "10 : 6677 369 85 5 2 3 1 \n", + "11 : 6695 354 81 6 4 2 0 \n", + "12 : 6667 387 76 5 1 1 5 \n", + "13 : 6621 418 103 6 5 0 1 \n", + "\n", + "T : 93205 5481 1125 92 54 24 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.5742e-03 sec\n", + "--- Collate = 5.0017e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.328456e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.046509e-01 > 1.000000e-01 [71642]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71642/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=29.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000947286 [ 0.38 %]\n", + "Velocity : 0.00234822 [ 0.94 %]\n", + "Force : 0.0473799 [ 18.94 %]\n", + "Coefs : 0.0223767 [ 8.95 %]\n", + "Output : 0.00471638 [ 1.89 %]\n", + "Levels : 0.000226848 [ 0.09 %]\n", + "Report : 5.47e-07 [ 0.00 %]\n", + "Balance : 3.26e-07 [ 0.00 %]\n", + "Adjust : 0.171953 [ 68.74 %]\n", + "Total : 0.250148 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6633 403 91 9 3 3 0 \n", + "1 : 6625 431 73 7 2 2 2 \n", + "2 : 6687 377 67 5 3 1 2 \n", + "3 : 6655 394 79 7 4 2 1 \n", + "4 : 6644 386 94 7 4 4 3 \n", + "5 : 6641 398 80 14 5 4 0 \n", + "6 : 6673 377 74 11 3 1 3 \n", + "7 : 6666 394 73 7 1 1 0 \n", + "8 : 6653 400 75 8 3 3 0 \n", + "9 : 6671 390 68 8 4 1 0 \n", + "10 : 6676 371 82 8 3 0 2 \n", + "11 : 6692 358 79 9 2 1 1 \n", + "12 : 6667 388 73 7 2 2 3 \n", + "13 : 6622 417 103 6 2 4 0 \n", + "\n", + "T : 93205 5484 1111 113 41 29 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.6434e-03 sec\n", + "--- Collate = 5.5302e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.091243e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.046695e-01 > 1.000000e-01 [71647]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71647/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=29.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000920144 [ 0.37 %]\n", + "Velocity : 0.00233756 [ 0.94 %]\n", + "Force : 0.0474894 [ 19.13 %]\n", + "Coefs : 0.0247236 [ 9.96 %]\n", + "Output : 0.00482627 [ 1.94 %]\n", + "Levels : 0.000244846 [ 0.10 %]\n", + "Report : 5.78e-07 [ 0.00 %]\n", + "Balance : 2.99e-07 [ 0.00 %]\n", + "Adjust : 0.167469 [ 67.48 %]\n", + "Total : 0.248189 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6632 405 91 8 2 2 2 \n", + "1 : 6624 431 73 10 1 1 2 \n", + "2 : 6686 379 66 4 4 1 2 \n", + "3 : 6656 393 79 6 4 3 1 \n", + "4 : 6644 386 95 7 2 5 3 \n", + "5 : 6641 396 84 13 5 1 2 \n", + "6 : 6672 379 76 9 3 1 2 \n", + "7 : 6663 395 76 6 2 0 0 \n", + "8 : 6657 396 75 8 4 0 2 \n", + "9 : 6672 387 68 12 1 1 1 \n", + "10 : 6676 369 83 7 5 0 2 \n", + "11 : 6692 359 79 6 4 0 2 \n", + "12 : 6666 388 75 4 5 3 1 \n", + "13 : 6622 418 101 7 3 1 2 \n", + "\n", + "T : 93203 5481 1121 107 45 19 24 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.7035e-03 sec\n", + "--- Collate = 5.0508e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.174053e-05 < 1.562500e-03 [17]\n", + "--- Max DT=3.046876e-01 > 1.000000e-01 [71653]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71653/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=30] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000955317 [ 0.34 %]\n", + "Velocity : 0.00236843 [ 0.84 %]\n", + "Force : 0.0487051 [ 17.24 %]\n", + "Coefs : 0.0241295 [ 8.54 %]\n", + "Output : 0.034257 [ 12.13 %]\n", + "Levels : 0.000273602 [ 0.10 %]\n", + "Report : 1.579e-06 [ 0.00 %]\n", + "Balance : 8.1e-07 [ 0.00 %]\n", + "Adjust : 0.171579 [ 60.75 %]\n", + "Total : 0.282451 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6634 400 92 11 1 0 4 \n", + "1 : 6625 430 73 10 2 1 1 \n", + "2 : 6688 377 65 7 3 1 1 \n", + "3 : 6658 389 81 7 3 1 3 \n", + "4 : 6642 388 93 10 3 2 4 \n", + "5 : 6638 400 82 15 4 1 2 \n", + "6 : 6671 381 74 10 4 0 2 \n", + "7 : 6665 393 77 5 1 1 0 \n", + "8 : 6655 400 72 10 3 0 2 \n", + "9 : 6673 386 68 10 2 1 2 \n", + "10 : 6677 367 84 7 5 1 1 \n", + "11 : 6692 359 79 6 2 1 3 \n", + "12 : 6665 390 74 5 6 2 0 \n", + "13 : 6621 419 102 7 2 0 3 \n", + "\n", + "T : 93204 5479 1116 120 41 12 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.6993e-03 sec\n", + "--- Collate = 6.3550e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.269527e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.047055e-01 > 1.000000e-01 [71644]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71644/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=30.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000717994 [ 0.28 %]\n", + "Velocity : 0.00319113 [ 1.25 %]\n", + "Force : 0.0502876 [ 19.72 %]\n", + "Coefs : 0.0227305 [ 8.91 %]\n", + "Output : 0.00490599 [ 1.92 %]\n", + "Levels : 0.000261605 [ 0.10 %]\n", + "Report : 6.96e-07 [ 0.00 %]\n", + "Balance : 3.27e-07 [ 0.00 %]\n", + "Adjust : 0.172738 [ 67.74 %]\n", + "Total : 0.255002 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6630 404 91 12 1 0 4 \n", + "1 : 6625 430 73 10 3 1 0 \n", + "2 : 6689 375 67 6 3 1 1 \n", + "3 : 6656 389 84 6 1 2 4 \n", + "4 : 6645 385 92 12 4 0 4 \n", + "5 : 6636 404 82 13 4 1 2 \n", + "6 : 6668 385 73 10 2 4 0 \n", + "7 : 6665 393 76 7 0 1 0 \n", + "8 : 6655 399 75 6 4 1 2 \n", + "9 : 6672 385 70 10 2 1 2 \n", + "10 : 6675 368 86 7 3 3 0 \n", + "11 : 6691 360 79 7 1 3 1 \n", + "12 : 6663 392 75 3 8 1 0 \n", + "13 : 6623 416 105 6 0 1 3 \n", + "\n", + "T : 93193 5485 1128 115 36 20 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.4221e-03 sec\n", + "--- Collate = 4.4604e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.612362e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.047231e-01 > 1.000000e-01 [71635]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71635/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=30.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000941343 [ 0.37 %]\n", + "Velocity : 0.00205541 [ 0.82 %]\n", + "Force : 0.0479142 [ 19.04 %]\n", + "Coefs : 0.0242599 [ 9.64 %]\n", + "Output : 0.00480602 [ 1.91 %]\n", + "Levels : 0.00023198 [ 0.09 %]\n", + "Report : 5.6e-07 [ 0.00 %]\n", + "Balance : 3.91e-07 [ 0.00 %]\n", + "Adjust : 0.171259 [ 68.05 %]\n", + "Total : 0.251659 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6628 406 91 10 3 2 2 \n", + "1 : 6627 427 73 12 2 1 0 \n", + "2 : 6690 374 65 9 2 1 1 \n", + "3 : 6656 389 83 7 1 0 6 \n", + "4 : 6647 382 93 14 2 2 2 \n", + "5 : 6634 407 81 13 4 2 1 \n", + "6 : 6667 386 71 12 3 2 1 \n", + "7 : 6663 396 74 8 0 0 1 \n", + "8 : 6656 397 75 6 5 2 1 \n", + "9 : 6670 386 70 8 4 2 2 \n", + "10 : 6676 366 87 7 4 1 1 \n", + "11 : 6691 359 79 8 2 0 3 \n", + "12 : 6664 391 74 8 4 1 0 \n", + "13 : 6621 416 106 6 1 3 1 \n", + "\n", + "T : 93190 5482 1122 128 37 19 22 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.5436e-03 sec\n", + "--- Collate = 6.2192e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.325988e-04 < 1.562500e-03 [10]\n", + "--- Max DT=3.047403e-01 > 1.000000e-01 [71643]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71643/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=30.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00103306 [ 0.42 %]\n", + "Velocity : 0.00231567 [ 0.93 %]\n", + "Force : 0.0490042 [ 19.77 %]\n", + "Coefs : 0.0221222 [ 8.93 %]\n", + "Output : 0.00468023 [ 1.89 %]\n", + "Levels : 0.000234426 [ 0.09 %]\n", + "Report : 7.82e-07 [ 0.00 %]\n", + "Balance : 3.51e-07 [ 0.00 %]\n", + "Adjust : 0.168276 [ 67.90 %]\n", + "Total : 0.24783 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6628 407 91 9 4 3 0 \n", + "1 : 6628 425 74 12 3 0 0 \n", + "2 : 6689 376 64 10 1 1 1 \n", + "3 : 6656 389 84 6 1 3 3 \n", + "4 : 6644 385 93 15 2 3 0 \n", + "5 : 6632 409 78 16 4 2 1 \n", + "6 : 6667 386 70 13 5 0 1 \n", + "7 : 6664 392 77 8 0 0 1 \n", + "8 : 6656 396 76 5 8 0 1 \n", + "9 : 6669 389 69 7 4 3 1 \n", + "10 : 6677 366 86 7 4 1 1 \n", + "11 : 6690 359 81 8 1 1 2 \n", + "12 : 6661 390 79 10 1 0 1 \n", + "13 : 6623 416 103 6 3 2 1 \n", + "\n", + "T : 93184 5485 1125 132 41 19 14 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.6323e-03 sec\n", + "--- Collate = 6.0252e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.863697e-05 < 1.562500e-03 [5]\n", + "--- Max DT=3.047574e-01 > 1.000000e-01 [71649]\n", + "----------------------------------------------------------------------\n", + " Component | low: 5/100000\n", + " Component | high: 71649/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=30.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000935437 [ 0.39 %]\n", + "Velocity : 0.00231936 [ 0.97 %]\n", + "Force : 0.047202 [ 19.65 %]\n", + "Coefs : 0.0240472 [ 10.01 %]\n", + "Output : 0.00448621 [ 1.87 %]\n", + "Levels : 0.000271705 [ 0.11 %]\n", + "Report : 5.13e-07 [ 0.00 %]\n", + "Balance : 3.17e-07 [ 0.00 %]\n", + "Adjust : 0.160824 [ 66.94 %]\n", + "Total : 0.240265 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6627 410 89 9 5 2 0 \n", + "1 : 6627 427 75 10 3 0 0 \n", + "2 : 6688 377 63 12 1 0 1 \n", + "3 : 6655 387 87 6 4 2 1 \n", + "4 : 6646 385 92 13 5 1 0 \n", + "5 : 6633 406 81 14 6 0 2 \n", + "6 : 6667 386 72 10 5 1 1 \n", + "7 : 6661 395 75 9 1 0 1 \n", + "8 : 6657 397 74 6 6 2 0 \n", + "9 : 6670 389 67 9 1 3 3 \n", + "10 : 6677 363 89 8 3 0 2 \n", + "11 : 6690 359 81 8 1 1 2 \n", + "12 : 6659 393 78 10 0 1 1 \n", + "13 : 6623 416 103 5 6 0 1 \n", + "\n", + "T : 93180 5490 1126 129 47 13 15 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.6814e-03 sec\n", + "--- Collate = 7.2508e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.015109e-04 < 1.562500e-03 [5]\n", + "--- Max DT=3.047742e-01 > 1.000000e-01 [71626]\n", + "----------------------------------------------------------------------\n", + " Component | low: 5/100000\n", + " Component | high: 71626/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=30.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000929827 [ 0.37 %]\n", + "Velocity : 0.00249728 [ 1.00 %]\n", + "Force : 0.0486899 [ 19.53 %]\n", + "Coefs : 0.0219522 [ 8.80 %]\n", + "Output : 0.00462861 [ 1.86 %]\n", + "Levels : 0.000237505 [ 0.10 %]\n", + "Report : 6.74e-07 [ 0.00 %]\n", + "Balance : 3.63e-07 [ 0.00 %]\n", + "Adjust : 0.170233 [ 68.28 %]\n", + "Total : 0.249328 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6626 410 90 9 5 1 1 \n", + "1 : 6627 427 77 9 2 0 0 \n", + "2 : 6690 373 67 10 1 1 0 \n", + "3 : 6654 385 93 5 2 3 0 \n", + "4 : 6645 385 93 16 1 2 0 \n", + "5 : 6631 406 84 12 5 2 2 \n", + "6 : 6664 389 72 10 4 2 1 \n", + "7 : 6659 396 77 8 1 1 0 \n", + "8 : 6656 398 73 7 4 3 1 \n", + "9 : 6669 390 67 8 2 3 3 \n", + "10 : 6676 363 90 10 1 1 1 \n", + "11 : 6690 359 83 5 3 2 0 \n", + "12 : 6658 393 79 9 1 0 2 \n", + "13 : 6620 418 104 5 5 1 1 \n", + "\n", + "T : 93165 5492 1149 123 37 22 12 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.7756e-03 sec\n", + "--- Collate = 4.8241e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.432408e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.047908e-01 > 1.000000e-01 [71627]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71627/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=30.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000956418 [ 0.40 %]\n", + "Velocity : 0.00237379 [ 0.99 %]\n", + "Force : 0.0493018 [ 20.46 %]\n", + "Coefs : 0.021946 [ 9.11 %]\n", + "Output : 0.00467488 [ 1.94 %]\n", + "Levels : 0.000241632 [ 0.10 %]\n", + "Report : 5.95e-07 [ 0.00 %]\n", + "Balance : 4.31e-07 [ 0.00 %]\n", + "Adjust : 0.161264 [ 66.94 %]\n", + "Total : 0.240917 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6627 410 89 11 2 2 1 \n", + "1 : 6626 429 77 8 0 2 0 \n", + "2 : 6692 372 65 12 0 1 0 \n", + "3 : 6654 384 93 8 3 0 0 \n", + "4 : 6647 383 93 17 1 0 1 \n", + "5 : 6631 408 83 10 5 1 4 \n", + "6 : 6664 389 70 12 5 0 2 \n", + "7 : 6662 395 76 7 1 1 0 \n", + "8 : 6657 395 75 7 4 2 2 \n", + "9 : 6674 388 64 7 4 0 5 \n", + "10 : 6676 365 86 12 1 1 1 \n", + "11 : 6692 357 83 5 2 3 0 \n", + "12 : 6656 396 78 7 2 2 1 \n", + "13 : 6625 413 104 8 1 3 0 \n", + "\n", + "T : 93183 5484 1136 131 31 18 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.7444e-03 sec\n", + "--- Collate = 7.0480e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.847785e-04 < 1.562500e-03 [11]\n", + "--- Max DT=3.048069e-01 > 1.000000e-01 [71635]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71635/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=30.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000979667 [ 0.35 %]\n", + "Velocity : 0.00241871 [ 0.87 %]\n", + "Force : 0.0549694 [ 19.70 %]\n", + "Coefs : 0.0234116 [ 8.39 %]\n", + "Output : 0.00528746 [ 1.90 %]\n", + "Levels : 0.000272515 [ 0.10 %]\n", + "Report : 6.91e-07 [ 0.00 %]\n", + "Balance : 3.65e-07 [ 0.00 %]\n", + "Adjust : 0.1915 [ 68.64 %]\n", + "Total : 0.279007 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6626 412 87 11 4 1 1 \n", + "1 : 6624 433 76 6 1 0 2 \n", + "2 : 6693 372 65 10 2 0 0 \n", + "3 : 6653 386 93 7 2 1 0 \n", + "4 : 6644 386 93 17 1 0 1 \n", + "5 : 6630 411 82 10 2 3 4 \n", + "6 : 6663 391 69 13 4 0 2 \n", + "7 : 6661 396 76 7 1 0 1 \n", + "8 : 6659 393 75 9 1 2 3 \n", + "9 : 6675 388 63 7 4 2 3 \n", + "10 : 6674 364 88 13 2 1 0 \n", + "11 : 6692 357 81 8 2 1 1 \n", + "12 : 6654 399 78 5 3 1 2 \n", + "13 : 6626 413 103 8 2 1 1 \n", + "\n", + "T : 93174 5501 1129 131 31 13 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.5745e-03 sec\n", + "--- Collate = 5.4511e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.457704e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.048227e-01 > 1.000000e-01 [71628]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71628/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=30.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000967433 [ 0.40 %]\n", + "Velocity : 0.00242486 [ 1.01 %]\n", + "Force : 0.0463973 [ 19.36 %]\n", + "Coefs : 0.0244676 [ 10.21 %]\n", + "Output : 0.00446841 [ 1.86 %]\n", + "Levels : 0.000235542 [ 0.10 %]\n", + "Report : 7.12e-07 [ 0.00 %]\n", + "Balance : 3.07e-07 [ 0.00 %]\n", + "Adjust : 0.160547 [ 66.99 %]\n", + "Total : 0.239674 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6628 409 89 9 3 3 1 \n", + "1 : 6624 433 76 6 1 0 2 \n", + "2 : 6690 375 63 12 2 0 0 \n", + "3 : 6650 391 90 8 2 0 1 \n", + "4 : 6644 387 92 16 2 0 1 \n", + "5 : 6629 416 80 8 2 4 3 \n", + "6 : 6661 392 69 14 3 2 1 \n", + "7 : 6661 394 78 8 0 0 1 \n", + "8 : 6655 396 77 7 2 1 4 \n", + "9 : 6673 389 63 9 3 1 4 \n", + "10 : 6674 362 91 12 3 0 0 \n", + "11 : 6692 356 83 7 3 0 1 \n", + "12 : 6650 403 78 5 2 2 2 \n", + "13 : 6625 414 103 9 1 0 2 \n", + "\n", + "T : 93156 5517 1132 130 29 13 23 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.7440e-03 sec\n", + "--- Collate = 5.0840e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.083807e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.048382e-01 > 1.000000e-01 [71639]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71639/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=30.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00094849 [ 0.38 %]\n", + "Velocity : 0.00237102 [ 0.96 %]\n", + "Force : 0.0512342 [ 20.73 %]\n", + "Coefs : 0.0218908 [ 8.86 %]\n", + "Output : 0.00462039 [ 1.87 %]\n", + "Levels : 0.000234019 [ 0.09 %]\n", + "Report : 4.77e-07 [ 0.00 %]\n", + "Balance : 3.04e-07 [ 0.00 %]\n", + "Adjust : 0.165645 [ 67.03 %]\n", + "Total : 0.247109 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6627 410 89 8 2 4 2 \n", + "1 : 6625 433 75 6 1 0 2 \n", + "2 : 6691 372 65 11 3 0 0 \n", + "3 : 6645 396 91 9 0 0 1 \n", + "4 : 6645 388 92 13 2 2 0 \n", + "5 : 6629 416 80 7 2 5 3 \n", + "6 : 6660 394 70 12 3 3 0 \n", + "7 : 6660 396 75 9 1 0 1 \n", + "8 : 6653 398 76 10 1 1 3 \n", + "9 : 6672 389 63 10 1 4 3 \n", + "10 : 6675 360 94 10 3 0 0 \n", + "11 : 6691 357 82 8 3 0 1 \n", + "12 : 6649 405 78 5 2 1 2 \n", + "13 : 6624 415 105 8 0 0 2 \n", + "\n", + "T : 93146 5529 1135 126 24 20 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.5533e-03 sec\n", + "--- Collate = 5.0329e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.308884e-04 < 1.562500e-03 [7]\n", + "--- Max DT=3.048533e-01 > 1.000000e-01 [71642]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71642/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=31] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000937835 [ 0.35 %]\n", + "Velocity : 0.00217951 [ 0.81 %]\n", + "Force : 0.0477256 [ 17.79 %]\n", + "Coefs : 0.0215986 [ 8.05 %]\n", + "Output : 0.0310327 [ 11.57 %]\n", + "Levels : 0.00026321 [ 0.10 %]\n", + "Report : 1.419e-06 [ 0.00 %]\n", + "Balance : 1.171e-06 [ 0.00 %]\n", + "Adjust : 0.164306 [ 61.26 %]\n", + "Total : 0.268214 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6630 407 91 6 3 2 3 \n", + "1 : 6625 431 74 9 0 3 0 \n", + "2 : 6689 375 65 11 2 0 0 \n", + "3 : 6646 396 92 4 3 0 1 \n", + "4 : 6642 390 94 12 2 1 1 \n", + "5 : 6627 420 78 8 3 2 4 \n", + "6 : 6662 393 72 9 5 0 1 \n", + "7 : 6660 395 76 9 1 1 0 \n", + "8 : 6654 397 77 7 1 3 3 \n", + "9 : 6674 389 62 10 2 1 4 \n", + "10 : 6674 361 94 9 3 1 0 \n", + "11 : 6690 358 81 9 3 1 0 \n", + "12 : 6647 407 78 6 1 1 2 \n", + "13 : 6622 417 106 5 2 1 1 \n", + "\n", + "T : 93142 5536 1140 114 31 17 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.8437e-03 sec\n", + "--- Collate = 5.8924e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.492356e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.048680e-01 > 1.000000e-01 [71632]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71632/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=31.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000846471 [ 0.36 %]\n", + "Velocity : 0.00248034 [ 1.04 %]\n", + "Force : 0.0475384 [ 19.98 %]\n", + "Coefs : 0.023273 [ 9.78 %]\n", + "Output : 0.00454869 [ 1.91 %]\n", + "Levels : 0.000291684 [ 0.12 %]\n", + "Report : 5.98e-07 [ 0.00 %]\n", + "Balance : 3.99e-07 [ 0.00 %]\n", + "Adjust : 0.158729 [ 66.73 %]\n", + "Total : 0.237872 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6631 407 89 9 2 1 3 \n", + "1 : 6623 433 72 11 0 3 0 \n", + "2 : 6688 375 68 8 1 2 0 \n", + "3 : 6645 397 92 4 2 2 0 \n", + "4 : 6644 387 96 10 3 1 1 \n", + "5 : 6626 422 77 8 3 2 4 \n", + "6 : 6662 393 72 11 3 0 1 \n", + "7 : 6658 394 80 7 2 1 0 \n", + "8 : 6654 397 77 6 5 1 2 \n", + "9 : 6672 391 63 10 2 1 3 \n", + "10 : 6676 358 93 11 3 0 1 \n", + "11 : 6686 362 82 8 2 2 0 \n", + "12 : 6647 406 79 7 0 2 1 \n", + "13 : 6624 415 106 6 2 1 0 \n", + "\n", + "T : 93136 5537 1146 116 30 19 16 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 9.1658e-03 sec\n", + "--- Collate = 6.8024e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.442904e-04 < 1.562500e-03 [7]\n", + "--- Max DT=3.048824e-01 > 1.000000e-01 [71635]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71635/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=31.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000961366 [ 0.36 %]\n", + "Velocity : 0.00253592 [ 0.96 %]\n", + "Force : 0.0498791 [ 18.90 %]\n", + "Coefs : 0.0252782 [ 9.58 %]\n", + "Output : 0.00478536 [ 1.81 %]\n", + "Levels : 0.000283128 [ 0.11 %]\n", + "Report : 1.215e-06 [ 0.00 %]\n", + "Balance : 3.83e-07 [ 0.00 %]\n", + "Adjust : 0.180039 [ 68.21 %]\n", + "Total : 0.263939 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6629 408 89 10 3 1 2 \n", + "1 : 6625 432 70 11 3 0 1 \n", + "2 : 6685 378 68 7 2 2 0 \n", + "3 : 6646 396 92 4 0 4 0 \n", + "4 : 6642 390 94 12 2 0 2 \n", + "5 : 6625 422 78 7 6 2 2 \n", + "6 : 6659 394 77 7 3 1 1 \n", + "7 : 6659 395 78 8 1 1 0 \n", + "8 : 6654 398 77 7 2 2 2 \n", + "9 : 6670 392 64 11 1 3 1 \n", + "10 : 6675 361 92 9 2 2 1 \n", + "11 : 6684 364 80 11 2 0 1 \n", + "12 : 6648 405 78 8 2 0 1 \n", + "13 : 6623 418 104 7 0 2 0 \n", + "\n", + "T : 93124 5553 1141 119 29 20 14 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.3572e-03 sec\n", + "--- Collate = 6.4787e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.701794e-05 < 1.562500e-03 [6]\n", + "--- Max DT=3.048961e-01 > 1.000000e-01 [71634]\n", + "----------------------------------------------------------------------\n", + " Component | low: 6/100000\n", + " Component | high: 71634/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=31.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00114039 [ 0.43 %]\n", + "Velocity : 0.0027235 [ 1.02 %]\n", + "Force : 0.0537103 [ 20.09 %]\n", + "Coefs : 0.0251009 [ 9.39 %]\n", + "Output : 0.00502144 [ 1.88 %]\n", + "Levels : 0.000250331 [ 0.09 %]\n", + "Report : 9.52e-07 [ 0.00 %]\n", + "Balance : 3.6e-07 [ 0.00 %]\n", + "Adjust : 0.17921 [ 67.03 %]\n", + "Total : 0.267346 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6627 413 88 8 2 2 2 \n", + "1 : 6623 433 71 9 5 0 1 \n", + "2 : 6682 381 66 8 3 0 2 \n", + "3 : 6648 393 95 2 1 0 3 \n", + "4 : 6643 388 95 12 0 3 1 \n", + "5 : 6625 422 77 10 5 2 1 \n", + "6 : 6659 394 77 7 2 2 1 \n", + "7 : 6658 396 78 9 0 0 1 \n", + "8 : 6650 400 81 6 2 1 2 \n", + "9 : 6668 393 66 9 4 2 0 \n", + "10 : 6677 360 90 10 0 4 1 \n", + "11 : 6682 367 81 9 1 1 1 \n", + "12 : 6648 403 80 8 2 1 0 \n", + "13 : 6624 417 104 6 1 1 1 \n", + "\n", + "T : 93114 5560 1149 113 28 19 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.5746e-03 sec\n", + "--- Collate = 5.2294e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.288906e-04 < 1.562500e-03 [10]\n", + "--- Max DT=3.049096e-01 > 1.000000e-01 [71645]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71645/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=31.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00100321 [ 0.42 %]\n", + "Velocity : 0.00249583 [ 1.04 %]\n", + "Force : 0.0469123 [ 19.47 %]\n", + "Coefs : 0.0219864 [ 9.13 %]\n", + "Output : 0.00451186 [ 1.87 %]\n", + "Levels : 0.000274216 [ 0.11 %]\n", + "Report : 4.86e-07 [ 0.00 %]\n", + "Balance : 3.73e-07 [ 0.00 %]\n", + "Adjust : 0.163586 [ 67.90 %]\n", + "Total : 0.240939 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6626 413 88 6 6 3 0 \n", + "1 : 6627 431 71 8 3 1 1 \n", + "2 : 6681 382 66 8 3 0 2 \n", + "3 : 6647 393 95 3 1 0 3 \n", + "4 : 6642 390 96 9 1 2 2 \n", + "5 : 6627 419 77 12 4 2 1 \n", + "6 : 6657 395 79 6 3 1 1 \n", + "7 : 6659 395 78 9 0 0 1 \n", + "8 : 6651 398 82 5 2 3 1 \n", + "9 : 6669 391 66 11 5 0 0 \n", + "10 : 6679 359 89 7 3 2 3 \n", + "11 : 6684 364 81 11 0 1 1 \n", + "12 : 6644 407 79 9 3 0 0 \n", + "13 : 6628 415 101 5 1 2 2 \n", + "\n", + "T : 93121 5552 1148 109 35 17 18 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.8096e-03 sec\n", + "--- Collate = 5.7353e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.485332e-04 < 1.562500e-03 [13]\n", + "--- Max DT=3.049229e-01 > 1.000000e-01 [71636]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71636/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=31.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000968595 [ 0.41 %]\n", + "Velocity : 0.00226062 [ 0.95 %]\n", + "Force : 0.0465202 [ 19.59 %]\n", + "Coefs : 0.0215332 [ 9.07 %]\n", + "Output : 0.00459613 [ 1.94 %]\n", + "Levels : 0.000242912 [ 0.10 %]\n", + "Report : 7.26e-07 [ 0.00 %]\n", + "Balance : 4.04e-07 [ 0.00 %]\n", + "Adjust : 0.161214 [ 67.88 %]\n", + "Total : 0.237504 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6628 411 88 5 6 4 0 \n", + "1 : 6624 433 72 8 2 3 0 \n", + "2 : 6683 380 67 7 2 1 2 \n", + "3 : 6649 389 97 4 0 0 3 \n", + "4 : 6641 390 99 7 2 1 2 \n", + "5 : 6625 421 76 13 4 0 3 \n", + "6 : 6660 392 80 3 4 1 2 \n", + "7 : 6658 396 79 8 0 0 1 \n", + "8 : 6651 398 82 5 3 1 2 \n", + "9 : 6668 391 67 13 3 0 0 \n", + "10 : 6676 361 90 5 5 1 4 \n", + "11 : 6683 367 78 12 0 1 1 \n", + "12 : 6644 407 80 6 3 2 0 \n", + "13 : 6627 416 101 5 0 1 4 \n", + "\n", + "T : 93117 5552 1156 101 34 16 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.5584e-03 sec\n", + "--- Collate = 5.4201e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.115647e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.049361e-01 > 1.000000e-01 [71631]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71631/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=31.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000950763 [ 0.40 %]\n", + "Velocity : 0.00231373 [ 0.97 %]\n", + "Force : 0.0464584 [ 19.57 %]\n", + "Coefs : 0.0224695 [ 9.47 %]\n", + "Output : 0.00473173 [ 1.99 %]\n", + "Levels : 0.000261219 [ 0.11 %]\n", + "Report : 4.96e-07 [ 0.00 %]\n", + "Balance : 3.96e-07 [ 0.00 %]\n", + "Adjust : 0.159991 [ 67.41 %]\n", + "Total : 0.237347 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6631 408 89 5 7 1 1 \n", + "1 : 6624 433 69 11 2 2 1 \n", + "2 : 6681 382 66 8 1 4 0 \n", + "3 : 6644 394 96 5 0 3 0 \n", + "4 : 6639 393 99 6 3 0 2 \n", + "5 : 6622 424 77 13 3 1 2 \n", + "6 : 6663 390 77 5 3 3 1 \n", + "7 : 6657 398 77 9 1 0 0 \n", + "8 : 6653 394 84 6 3 1 1 \n", + "9 : 6669 390 70 9 3 1 0 \n", + "10 : 6677 360 90 5 6 0 4 \n", + "11 : 6677 373 78 11 2 0 1 \n", + "12 : 6645 405 79 7 4 0 2 \n", + "13 : 6626 418 98 7 0 1 4 \n", + "\n", + "T : 93108 5562 1149 107 38 17 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.4479e-03 sec\n", + "--- Collate = 5.7224e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.501179e-04 < 1.562500e-03 [12]\n", + "--- Max DT=3.049491e-01 > 1.000000e-01 [71645]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71645/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=31.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000955406 [ 0.40 %]\n", + "Velocity : 0.00233364 [ 0.97 %]\n", + "Force : 0.0476805 [ 19.90 %]\n", + "Coefs : 0.0219246 [ 9.15 %]\n", + "Output : 0.00474763 [ 1.98 %]\n", + "Levels : 0.000303111 [ 0.13 %]\n", + "Report : 6.37e-07 [ 0.00 %]\n", + "Balance : 3.49e-07 [ 0.00 %]\n", + "Adjust : 0.161483 [ 67.39 %]\n", + "Total : 0.239615 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6634 406 87 6 5 2 2 \n", + "1 : 6624 431 71 12 0 2 2 \n", + "2 : 6684 377 68 8 2 3 0 \n", + "3 : 6648 389 96 6 2 1 0 \n", + "4 : 6639 394 98 6 2 2 1 \n", + "5 : 6622 424 76 14 3 1 2 \n", + "6 : 6663 390 76 6 4 0 3 \n", + "7 : 6657 398 77 9 0 0 1 \n", + "8 : 6651 393 88 5 2 2 1 \n", + "9 : 6671 389 69 7 4 1 1 \n", + "10 : 6674 363 90 6 2 6 1 \n", + "11 : 6679 372 80 7 3 0 1 \n", + "12 : 6647 404 78 5 5 1 2 \n", + "13 : 6623 420 98 8 0 2 3 \n", + "\n", + "T : 93116 5550 1152 105 34 23 20 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.0099e-03 sec\n", + "--- Collate = 4.2678e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.649087e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.049620e-01 > 1.000000e-01 [71632]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71632/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=31.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000948435 [ 0.40 %]\n", + "Velocity : 0.00232492 [ 0.99 %]\n", + "Force : 0.0462312 [ 19.61 %]\n", + "Coefs : 0.0218585 [ 9.27 %]\n", + "Output : 0.00460951 [ 1.96 %]\n", + "Levels : 0.000289689 [ 0.12 %]\n", + "Report : 4.57e-07 [ 0.00 %]\n", + "Balance : 6.25e-07 [ 0.00 %]\n", + "Adjust : 0.159295 [ 67.57 %]\n", + "Total : 0.235741 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6631 408 88 7 4 1 3 \n", + "1 : 6620 438 67 13 0 1 3 \n", + "2 : 6681 381 65 11 2 1 1 \n", + "3 : 6645 395 91 8 3 0 0 \n", + "4 : 6639 392 98 9 1 2 1 \n", + "5 : 6625 423 73 14 4 3 0 \n", + "6 : 6665 388 75 6 4 2 2 \n", + "7 : 6657 400 76 6 2 0 1 \n", + "8 : 6652 390 90 6 2 1 1 \n", + "9 : 6670 389 68 8 3 2 2 \n", + "10 : 6672 364 93 4 3 5 1 \n", + "11 : 6679 373 79 7 2 2 0 \n", + "12 : 6645 407 78 5 3 1 3 \n", + "13 : 6625 418 98 7 3 2 1 \n", + "\n", + "T : 93106 5566 1139 111 36 23 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.6188e-03 sec\n", + "--- Collate = 5.0041e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.846056e-06 < 1.562500e-03 [10]\n", + "--- Max DT=3.049747e-01 > 1.000000e-01 [71635]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71635/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=31.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000818238 [ 0.33 %]\n", + "Velocity : 0.00208405 [ 0.85 %]\n", + "Force : 0.0474674 [ 19.42 %]\n", + "Coefs : 0.0223946 [ 9.16 %]\n", + "Output : 0.00488146 [ 2.00 %]\n", + "Levels : 0.000270263 [ 0.11 %]\n", + "Report : 6.31e-07 [ 0.00 %]\n", + "Balance : 3.78e-07 [ 0.00 %]\n", + "Adjust : 0.166331 [ 68.05 %]\n", + "Total : 0.244421 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6628 411 89 9 1 1 3 \n", + "1 : 6621 436 69 10 1 2 3 \n", + "2 : 6679 383 63 14 1 1 1 \n", + "3 : 6641 400 92 5 4 0 0 \n", + "4 : 6637 394 98 10 1 1 1 \n", + "5 : 6622 426 73 14 2 4 1 \n", + "6 : 6667 387 73 9 1 3 2 \n", + "7 : 6654 402 76 7 2 0 1 \n", + "8 : 6652 391 86 9 2 1 1 \n", + "9 : 6671 388 68 7 2 3 3 \n", + "10 : 6674 362 93 4 5 0 4 \n", + "11 : 6679 373 78 8 3 1 0 \n", + "12 : 6647 402 81 5 2 2 3 \n", + "13 : 6624 420 96 8 4 2 0 \n", + "\n", + "T : 93096 5575 1135 119 31 21 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.5577e-03 sec\n", + "--- Collate = 4.7686e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.467310e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.049874e-01 > 1.000000e-01 [71634]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71634/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=32] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000937684 [ 0.36 %]\n", + "Velocity : 0.00228123 [ 0.88 %]\n", + "Force : 0.0477256 [ 18.47 %]\n", + "Coefs : 0.0223633 [ 8.65 %]\n", + "Output : 0.0266875 [ 10.33 %]\n", + "Levels : 0.000243997 [ 0.09 %]\n", + "Report : 1.366e-06 [ 0.00 %]\n", + "Balance : 5.73e-07 [ 0.00 %]\n", + "Adjust : 0.158003 [ 61.14 %]\n", + "Total : 0.258434 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6627 412 89 8 3 1 2 \n", + "1 : 6619 440 66 10 3 1 3 \n", + "2 : 6681 382 63 10 3 1 2 \n", + "3 : 6638 403 91 8 2 0 0 \n", + "4 : 6634 398 96 10 1 1 2 \n", + "5 : 6624 423 77 9 5 1 3 \n", + "6 : 6669 385 72 10 2 2 2 \n", + "7 : 6653 402 78 7 0 2 0 \n", + "8 : 6651 392 86 8 3 1 1 \n", + "9 : 6672 388 66 8 1 2 5 \n", + "10 : 6674 362 92 7 3 0 4 \n", + "11 : 6680 372 77 10 2 0 1 \n", + "12 : 6647 402 81 5 0 5 2 \n", + "13 : 6625 417 99 7 5 1 0 \n", + "\n", + "T : 93094 5578 1133 117 33 18 27 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.3649e-03 sec\n", + "--- Collate = 5.6811e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.222011e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.049999e-01 > 1.000000e-01 [71658]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71658/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=32.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000446133 [ 0.20 %]\n", + "Velocity : 0.00115762 [ 0.51 %]\n", + "Force : 0.0463935 [ 20.53 %]\n", + "Coefs : 0.0229163 [ 10.14 %]\n", + "Output : 0.00183844 [ 0.81 %]\n", + "Levels : 0.000211504 [ 0.09 %]\n", + "Report : 9.04e-07 [ 0.00 %]\n", + "Balance : 7.28e-07 [ 0.00 %]\n", + "Adjust : 0.152876 [ 67.65 %]\n", + "Total : 0.225973 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6630 411 88 7 4 1 1 \n", + "1 : 6619 439 68 9 4 1 2 \n", + "2 : 6680 384 61 11 2 3 1 \n", + "3 : 6638 403 91 8 2 0 0 \n", + "4 : 6632 400 95 10 2 1 2 \n", + "5 : 6625 420 79 8 7 0 3 \n", + "6 : 6668 386 71 10 3 1 3 \n", + "7 : 6650 406 77 5 2 1 1 \n", + "8 : 6651 393 86 7 2 3 0 \n", + "9 : 6670 394 63 7 2 1 5 \n", + "10 : 6673 363 91 7 2 3 3 \n", + "11 : 6679 370 81 10 1 0 1 \n", + "12 : 6646 404 80 4 3 2 3 \n", + "13 : 6626 418 97 8 5 0 0 \n", + "\n", + "T : 93087 5591 1128 111 41 17 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.3181e-03 sec\n", + "--- Collate = 6.1050e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.060589e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.050125e-01 > 1.000000e-01 [71675]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71675/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=32.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000417602 [ 0.18 %]\n", + "Velocity : 0.00111189 [ 0.49 %]\n", + "Force : 0.0460355 [ 20.20 %]\n", + "Coefs : 0.0232607 [ 10.21 %]\n", + "Output : 0.00190275 [ 0.83 %]\n", + "Levels : 0.000206238 [ 0.09 %]\n", + "Report : 8.34e-07 [ 0.00 %]\n", + "Balance : 5.26e-07 [ 0.00 %]\n", + "Adjust : 0.154832 [ 67.94 %]\n", + "Total : 0.227903 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6629 414 86 6 6 1 0 \n", + "1 : 6619 439 68 9 4 2 1 \n", + "2 : 6681 381 64 10 2 2 2 \n", + "3 : 6639 401 91 8 3 0 0 \n", + "4 : 6630 401 93 12 4 0 2 \n", + "5 : 6627 421 76 9 5 2 2 \n", + "6 : 6666 388 70 9 4 2 3 \n", + "7 : 6647 409 77 5 3 0 1 \n", + "8 : 6653 391 85 9 2 0 2 \n", + "9 : 6669 396 64 7 0 2 4 \n", + "10 : 6669 368 90 7 2 3 3 \n", + "11 : 6678 370 83 9 1 0 1 \n", + "12 : 6645 405 79 5 4 1 3 \n", + "13 : 6622 423 96 9 3 1 0 \n", + "\n", + "T : 93074 5607 1122 114 43 16 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.3973e-03 sec\n", + "--- Collate = 5.7831e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.970749e-06 < 1.562500e-03 [10]\n", + "--- Max DT=3.050248e-01 > 1.000000e-01 [71678]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71678/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=32.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000381019 [ 0.16 %]\n", + "Velocity : 0.0011007 [ 0.46 %]\n", + "Force : 0.0469799 [ 19.74 %]\n", + "Coefs : 0.0241242 [ 10.14 %]\n", + "Output : 0.00183291 [ 0.77 %]\n", + "Levels : 0.00019949 [ 0.08 %]\n", + "Report : 9.16e-07 [ 0.00 %]\n", + "Balance : 5.54e-07 [ 0.00 %]\n", + "Adjust : 0.163256 [ 68.59 %]\n", + "Total : 0.238021 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6625 416 89 7 5 0 0 \n", + "1 : 6616 441 68 11 2 4 0 \n", + "2 : 6681 382 64 8 3 2 2 \n", + "3 : 6635 406 90 8 2 1 0 \n", + "4 : 6628 403 92 15 1 2 1 \n", + "5 : 6627 420 77 10 4 3 1 \n", + "6 : 6666 389 70 8 2 4 3 \n", + "7 : 6646 410 76 6 2 1 1 \n", + "8 : 6650 395 84 8 3 0 2 \n", + "9 : 6669 394 65 8 1 4 1 \n", + "10 : 6669 368 91 7 2 1 4 \n", + "11 : 6678 372 81 9 0 1 1 \n", + "12 : 6644 407 78 5 5 0 3 \n", + "13 : 6619 427 96 9 2 1 0 \n", + "\n", + "T : 93053 5630 1121 119 34 24 19 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 9.2428e-03 sec\n", + "--- Collate = 7.2494e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.113157e-04 < 1.562500e-03 [6]\n", + "--- Max DT=3.050373e-01 > 1.000000e-01 [71695]\n", + "----------------------------------------------------------------------\n", + " Component | low: 6/100000\n", + " Component | high: 71695/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=32.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000472652 [ 0.17 %]\n", + "Velocity : 0.00140935 [ 0.52 %]\n", + "Force : 0.0521187 [ 19.05 %]\n", + "Coefs : 0.0238431 [ 8.72 %]\n", + "Output : 0.003562 [ 1.30 %]\n", + "Levels : 0.000214431 [ 0.08 %]\n", + "Report : 1.074e-06 [ 0.00 %]\n", + "Balance : 3.99e-07 [ 0.00 %]\n", + "Adjust : 0.19173 [ 70.09 %]\n", + "Total : 0.273552 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6625 415 90 8 4 0 0 \n", + "1 : 6612 448 65 12 1 2 2 \n", + "2 : 6679 382 67 6 4 2 2 \n", + "3 : 6637 405 92 5 2 1 0 \n", + "4 : 6628 404 90 15 1 3 1 \n", + "5 : 6630 417 76 12 4 2 1 \n", + "6 : 6663 393 69 9 2 3 3 \n", + "7 : 6644 412 76 5 2 3 0 \n", + "8 : 6647 399 83 9 2 0 2 \n", + "9 : 6670 391 67 7 4 3 0 \n", + "10 : 6666 371 90 8 3 0 4 \n", + "11 : 6676 375 78 10 1 2 0 \n", + "12 : 6644 404 81 6 4 2 1 \n", + "13 : 6616 431 96 9 1 0 1 \n", + "\n", + "T : 93037 5647 1120 121 35 23 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 9.0317e-03 sec\n", + "--- Collate = 7.7311e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.041505e-06 < 1.562500e-03 [7]\n", + "--- Max DT=3.050496e-01 > 1.000000e-01 [71691]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71691/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=32.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000660995 [ 0.24 %]\n", + "Velocity : 0.0016847 [ 0.62 %]\n", + "Force : 0.0534779 [ 19.74 %]\n", + "Coefs : 0.0256411 [ 9.47 %]\n", + "Output : 0.00362756 [ 1.34 %]\n", + "Levels : 0.000281789 [ 0.10 %]\n", + "Report : 1.444e-06 [ 0.00 %]\n", + "Balance : 5.36e-07 [ 0.00 %]\n", + "Adjust : 0.185291 [ 68.40 %]\n", + "Total : 0.270878 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6626 415 89 8 1 3 0 \n", + "1 : 6612 449 63 11 4 1 2 \n", + "2 : 6677 385 67 5 2 2 4 \n", + "3 : 6637 406 90 6 1 1 1 \n", + "4 : 6626 408 89 14 3 0 2 \n", + "5 : 6632 415 75 15 3 1 1 \n", + "6 : 6665 390 73 4 5 2 3 \n", + "7 : 6645 411 76 6 1 2 1 \n", + "8 : 6642 403 84 8 2 3 0 \n", + "9 : 6670 392 66 8 5 0 1 \n", + "10 : 6666 371 91 7 2 4 1 \n", + "11 : 6675 375 76 12 2 1 1 \n", + "12 : 6642 405 83 8 1 3 0 \n", + "13 : 6615 428 99 10 1 0 1 \n", + "\n", + "T : 93030 5653 1121 122 33 23 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 9.0089e-03 sec\n", + "--- Collate = 5.6995e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.768298e-06 < 1.562500e-03 [14]\n", + "--- Max DT=3.050620e-01 > 1.000000e-01 [71698]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71698/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=32.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000579724 [ 0.23 %]\n", + "Velocity : 0.00144526 [ 0.57 %]\n", + "Force : 0.0512657 [ 20.20 %]\n", + "Coefs : 0.0236736 [ 9.33 %]\n", + "Output : 0.0025964 [ 1.02 %]\n", + "Levels : 0.000179971 [ 0.07 %]\n", + "Report : 9.75e-07 [ 0.00 %]\n", + "Balance : 4.42e-07 [ 0.00 %]\n", + "Adjust : 0.173819 [ 68.50 %]\n", + "Total : 0.253744 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6626 413 91 8 1 1 2 \n", + "1 : 6608 453 63 10 3 3 2 \n", + "2 : 6679 383 66 6 2 1 5 \n", + "3 : 6640 403 88 7 2 1 1 \n", + "4 : 6625 410 88 12 5 0 2 \n", + "5 : 6634 413 77 12 3 2 1 \n", + "6 : 6665 388 74 6 4 2 3 \n", + "7 : 6643 412 76 7 2 0 2 \n", + "8 : 6640 405 84 8 3 1 1 \n", + "9 : 6669 393 66 10 3 0 1 \n", + "10 : 6666 373 88 7 4 3 1 \n", + "11 : 6677 372 78 10 3 0 2 \n", + "12 : 6641 407 81 9 2 2 0 \n", + "13 : 6614 428 100 8 2 1 1 \n", + "\n", + "T : 93027 5653 1120 120 39 17 24 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.1812e-03 sec\n", + "--- Collate = 5.8162e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.709954e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.050742e-01 > 1.000000e-01 [71705]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71705/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=32.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000401811 [ 0.17 %]\n", + "Velocity : 0.0011372 [ 0.47 %]\n", + "Force : 0.047779 [ 19.94 %]\n", + "Coefs : 0.0237021 [ 9.89 %]\n", + "Output : 0.0019356 [ 0.81 %]\n", + "Levels : 0.000197163 [ 0.08 %]\n", + "Report : 9.28e-07 [ 0.00 %]\n", + "Balance : 4.63e-07 [ 0.00 %]\n", + "Adjust : 0.164329 [ 68.58 %]\n", + "Total : 0.239628 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6628 412 91 6 2 1 2 \n", + "1 : 6607 454 64 8 4 4 1 \n", + "2 : 6680 381 67 7 1 2 4 \n", + "3 : 6640 404 87 7 2 0 2 \n", + "4 : 6622 411 89 11 6 1 2 \n", + "5 : 6632 415 77 12 4 1 1 \n", + "6 : 6665 389 72 7 6 1 2 \n", + "7 : 6647 408 77 6 1 1 2 \n", + "8 : 6638 407 84 9 2 1 1 \n", + "9 : 6665 396 67 11 2 0 1 \n", + "10 : 6669 370 88 7 6 1 1 \n", + "11 : 6675 376 76 11 2 0 2 \n", + "12 : 6638 411 79 9 3 1 1 \n", + "13 : 6615 427 102 6 2 1 1 \n", + "\n", + "T : 93021 5661 1120 117 43 15 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.2032e-03 sec\n", + "--- Collate = 5.8215e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.561281e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.050862e-01 > 1.000000e-01 [71717]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71717/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=32.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000407897 [ 0.18 %]\n", + "Velocity : 0.00108893 [ 0.49 %]\n", + "Force : 0.0453895 [ 20.33 %]\n", + "Coefs : 0.0234589 [ 10.51 %]\n", + "Output : 0.00181793 [ 0.81 %]\n", + "Levels : 0.000216745 [ 0.10 %]\n", + "Report : 9.89e-07 [ 0.00 %]\n", + "Balance : 5.49e-07 [ 0.00 %]\n", + "Adjust : 0.150783 [ 67.53 %]\n", + "Total : 0.223299 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6630 408 94 4 3 0 3 \n", + "1 : 6604 456 66 5 6 2 3 \n", + "2 : 6681 378 70 6 1 5 1 \n", + "3 : 6638 405 87 7 4 0 1 \n", + "4 : 6621 411 90 10 6 3 1 \n", + "5 : 6629 416 80 11 3 2 1 \n", + "6 : 6663 390 74 6 3 6 0 \n", + "7 : 6647 409 75 6 3 1 1 \n", + "8 : 6639 406 85 9 1 1 1 \n", + "9 : 6665 395 69 10 2 1 0 \n", + "10 : 6667 372 89 5 6 1 2 \n", + "11 : 6673 379 74 12 2 0 2 \n", + "12 : 6640 408 80 9 3 1 1 \n", + "13 : 6615 427 101 6 3 1 1 \n", + "\n", + "T : 93012 5660 1134 106 46 24 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.2294e-03 sec\n", + "--- Collate = 7.0302e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.250861e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.050978e-01 > 1.000000e-01 [71706]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71706/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=32.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000445169 [ 0.20 %]\n", + "Velocity : 0.00111447 [ 0.50 %]\n", + "Force : 0.0458322 [ 20.56 %]\n", + "Coefs : 0.022984 [ 10.31 %]\n", + "Output : 0.00171214 [ 0.77 %]\n", + "Levels : 0.000200636 [ 0.09 %]\n", + "Report : 8.81e-07 [ 0.00 %]\n", + "Balance : 5.67e-07 [ 0.00 %]\n", + "Adjust : 0.150504 [ 67.51 %]\n", + "Total : 0.222923 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6629 409 94 5 2 2 1 \n", + "1 : 6605 452 67 7 5 3 3 \n", + "2 : 6680 377 72 7 2 4 0 \n", + "3 : 6634 410 85 9 3 0 1 \n", + "4 : 6619 414 91 8 5 3 2 \n", + "5 : 6629 416 80 11 3 3 0 \n", + "6 : 6662 391 76 6 3 1 3 \n", + "7 : 6650 407 74 6 3 1 1 \n", + "8 : 6635 410 83 10 2 1 1 \n", + "9 : 6665 396 68 10 1 2 0 \n", + "10 : 6666 373 89 7 2 3 2 \n", + "11 : 6673 378 76 10 2 2 1 \n", + "12 : 6643 404 80 10 2 1 2 \n", + "13 : 6613 429 101 6 3 0 2 \n", + "\n", + "T : 93003 5666 1136 112 38 26 19 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.2330e-03 sec\n", + "--- Collate = 4.9156e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.066691e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.051089e-01 > 1.000000e-01 [71707]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71707/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=33] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000419301 [ 0.16 %]\n", + "Velocity : 0.00121639 [ 0.47 %]\n", + "Force : 0.0481235 [ 18.44 %]\n", + "Coefs : 0.0233187 [ 8.93 %]\n", + "Output : 0.0254005 [ 9.73 %]\n", + "Levels : 0.000212673 [ 0.08 %]\n", + "Report : 1.176e-06 [ 0.00 %]\n", + "Balance : 6.61e-07 [ 0.00 %]\n", + "Adjust : 0.162155 [ 62.13 %]\n", + "Total : 0.260997 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6629 410 93 6 0 3 1 \n", + "1 : 6604 453 66 10 2 3 4 \n", + "2 : 6682 377 70 7 4 2 0 \n", + "3 : 6635 409 85 8 3 2 0 \n", + "4 : 6619 415 91 8 4 2 3 \n", + "5 : 6630 414 81 13 2 0 2 \n", + "6 : 6661 391 76 5 4 1 4 \n", + "7 : 6647 411 73 6 2 1 2 \n", + "8 : 6637 409 83 9 1 2 1 \n", + "9 : 6665 395 71 8 1 1 1 \n", + "10 : 6665 376 87 7 2 3 2 \n", + "11 : 6675 375 78 9 2 1 2 \n", + "12 : 6643 407 77 9 3 1 2 \n", + "13 : 6615 427 99 8 3 1 1 \n", + "\n", + "T : 93007 5669 1130 113 33 23 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.2301e-03 sec\n", + "--- Collate = 7.4528e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.165217e-06 < 1.562500e-03 [15]\n", + "--- Max DT=3.051196e-01 > 1.000000e-01 [71710]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71710/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=33.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000436517 [ 0.20 %]\n", + "Velocity : 0.00143985 [ 0.64 %]\n", + "Force : 0.0458154 [ 20.49 %]\n", + "Coefs : 0.0220569 [ 9.87 %]\n", + "Output : 0.00186053 [ 0.83 %]\n", + "Levels : 0.00017608 [ 0.08 %]\n", + "Report : 9.42e-07 [ 0.00 %]\n", + "Balance : 3.91e-07 [ 0.00 %]\n", + "Adjust : 0.151628 [ 67.83 %]\n", + "Total : 0.223547 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6625 414 94 5 2 2 0 \n", + "1 : 6605 452 66 11 0 4 4 \n", + "2 : 6680 380 71 8 2 1 0 \n", + "3 : 6637 407 85 7 4 1 1 \n", + "4 : 6620 415 91 8 2 2 4 \n", + "5 : 6629 413 86 8 3 0 3 \n", + "6 : 6661 390 78 5 2 1 5 \n", + "7 : 6649 410 71 8 1 1 2 \n", + "8 : 6635 413 81 9 2 0 2 \n", + "9 : 6666 394 70 9 1 1 1 \n", + "10 : 6664 376 87 8 1 1 5 \n", + "11 : 6677 374 77 9 3 1 1 \n", + "12 : 6643 405 80 7 3 2 2 \n", + "13 : 6617 425 99 8 3 1 1 \n", + "\n", + "T : 93008 5668 1136 110 29 18 31 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.1917e-03 sec\n", + "--- Collate = 5.5623e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.851192e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.051298e-01 > 1.000000e-01 [71737]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71737/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=33.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000385799 [ 0.17 %]\n", + "Velocity : 0.00109787 [ 0.50 %]\n", + "Force : 0.0459156 [ 20.77 %]\n", + "Coefs : 0.0218536 [ 9.88 %]\n", + "Output : 0.00184611 [ 0.84 %]\n", + "Levels : 0.000230478 [ 0.10 %]\n", + "Report : 9.56e-07 [ 0.00 %]\n", + "Balance : 4.55e-07 [ 0.00 %]\n", + "Adjust : 0.149634 [ 67.68 %]\n", + "Total : 0.22109 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6623 414 98 4 2 0 1 \n", + "1 : 6604 453 68 9 3 2 3 \n", + "2 : 6679 382 69 7 3 1 1 \n", + "3 : 6638 406 81 12 2 1 2 \n", + "4 : 6619 415 91 8 4 2 3 \n", + "5 : 6628 414 87 8 1 1 3 \n", + "6 : 6660 390 78 5 3 3 3 \n", + "7 : 6646 413 71 7 2 1 2 \n", + "8 : 6634 413 81 10 2 1 1 \n", + "9 : 6665 396 67 10 2 0 2 \n", + "10 : 6664 377 86 8 2 1 4 \n", + "11 : 6674 376 78 9 1 3 1 \n", + "12 : 6644 407 78 6 3 3 1 \n", + "13 : 6619 422 101 6 2 3 1 \n", + "\n", + "T : 92997 5678 1134 109 32 22 28 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.1769e-03 sec\n", + "--- Collate = 5.1446e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.790153e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.051392e-01 > 1.000000e-01 [71745]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71745/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=33.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000392476 [ 0.18 %]\n", + "Velocity : 0.00107191 [ 0.48 %]\n", + "Force : 0.0456873 [ 20.66 %]\n", + "Coefs : 0.0217537 [ 9.84 %]\n", + "Output : 0.00193394 [ 0.87 %]\n", + "Levels : 0.000254955 [ 0.12 %]\n", + "Report : 1.064e-06 [ 0.00 %]\n", + "Balance : 4.39e-07 [ 0.00 %]\n", + "Adjust : 0.149861 [ 67.78 %]\n", + "Total : 0.2211 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6622 415 96 7 1 0 1 \n", + "1 : 6604 451 68 9 6 3 1 \n", + "2 : 6677 384 70 6 3 1 1 \n", + "3 : 6637 409 77 11 5 0 3 \n", + "4 : 6618 418 91 6 3 4 2 \n", + "5 : 6624 418 88 7 1 3 1 \n", + "6 : 6657 392 79 5 3 4 2 \n", + "7 : 6646 412 72 7 2 1 2 \n", + "8 : 6634 412 82 11 1 1 1 \n", + "9 : 6662 398 68 11 0 2 1 \n", + "10 : 6663 379 86 7 2 1 4 \n", + "11 : 6674 376 80 6 3 2 1 \n", + "12 : 6645 407 77 5 5 2 1 \n", + "13 : 6613 426 102 7 2 1 3 \n", + "\n", + "T : 92976 5697 1136 105 37 25 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.1865e-03 sec\n", + "--- Collate = 5.6039e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.489575e-04 < 1.562500e-03 [6]\n", + "--- Max DT=3.051480e-01 > 1.000000e-01 [71747]\n", + "----------------------------------------------------------------------\n", + " Component | low: 6/100000\n", + " Component | high: 71747/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=33.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00034633 [ 0.15 %]\n", + "Velocity : 0.00122533 [ 0.54 %]\n", + "Force : 0.0455956 [ 20.09 %]\n", + "Coefs : 0.0222345 [ 9.80 %]\n", + "Output : 0.001836 [ 0.81 %]\n", + "Levels : 0.000190283 [ 0.08 %]\n", + "Report : 8.95e-07 [ 0.00 %]\n", + "Balance : 3.64e-07 [ 0.00 %]\n", + "Adjust : 0.155373 [ 68.47 %]\n", + "Total : 0.226928 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6621 414 96 10 0 0 1 \n", + "1 : 6601 455 68 9 6 2 1 \n", + "2 : 6679 384 65 8 3 2 1 \n", + "3 : 6638 409 78 8 5 2 2 \n", + "4 : 6617 418 87 11 4 4 1 \n", + "5 : 6623 418 87 9 2 3 0 \n", + "6 : 6656 393 77 8 3 2 3 \n", + "7 : 6646 412 71 5 4 2 2 \n", + "8 : 6635 415 78 8 4 2 0 \n", + "9 : 6662 399 67 9 2 2 1 \n", + "10 : 6662 380 86 7 2 5 0 \n", + "11 : 6674 376 79 8 3 0 2 \n", + "12 : 6646 405 77 7 6 0 1 \n", + "13 : 6610 429 103 5 3 1 3 \n", + "\n", + "T : 92970 5707 1119 112 47 27 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.3067e-03 sec\n", + "--- Collate = 5.2404e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.046537e-06 < 1.562500e-03 [11]\n", + "--- Max DT=3.051567e-01 > 1.000000e-01 [71740]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71740/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=33.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000379168 [ 0.17 %]\n", + "Velocity : 0.00116326 [ 0.52 %]\n", + "Force : 0.0455021 [ 20.47 %]\n", + "Coefs : 0.0219086 [ 9.86 %]\n", + "Output : 0.00182372 [ 0.82 %]\n", + "Levels : 0.000201931 [ 0.09 %]\n", + "Report : 9.12e-07 [ 0.00 %]\n", + "Balance : 3.39e-07 [ 0.00 %]\n", + "Adjust : 0.151147 [ 68.01 %]\n", + "Total : 0.222258 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6620 414 97 10 0 1 0 \n", + "1 : 6600 456 68 11 5 1 1 \n", + "2 : 6678 387 63 8 1 4 1 \n", + "3 : 6638 410 77 8 3 3 3 \n", + "4 : 6618 418 85 11 4 4 2 \n", + "5 : 6623 418 87 9 3 2 0 \n", + "6 : 6656 393 79 8 2 2 2 \n", + "7 : 6644 413 72 4 4 3 2 \n", + "8 : 6637 411 80 8 4 1 1 \n", + "9 : 6659 402 66 10 3 1 1 \n", + "10 : 6661 381 85 7 4 2 2 \n", + "11 : 6671 378 80 8 3 0 2 \n", + "12 : 6647 405 76 7 5 1 1 \n", + "13 : 6611 430 100 6 2 2 3 \n", + "\n", + "T : 92963 5716 1115 115 43 27 21 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.2045e-03 sec\n", + "--- Collate = 5.9125e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.614908e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.051649e-01 > 1.000000e-01 [71742]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71742/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=33.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000305734 [ 0.14 %]\n", + "Velocity : 0.00100775 [ 0.45 %]\n", + "Force : 0.0456537 [ 20.22 %]\n", + "Coefs : 0.0218202 [ 9.67 %]\n", + "Output : 0.00203623 [ 0.90 %]\n", + "Levels : 0.000201238 [ 0.09 %]\n", + "Report : 8.87e-07 [ 0.00 %]\n", + "Balance : 4.69e-07 [ 0.00 %]\n", + "Adjust : 0.154566 [ 68.47 %]\n", + "Total : 0.225734 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6621 411 98 9 3 0 0 \n", + "1 : 6596 460 67 13 4 0 2 \n", + "2 : 6676 389 62 10 2 0 3 \n", + "3 : 6636 413 77 6 4 2 4 \n", + "4 : 6615 422 82 13 2 4 4 \n", + "5 : 6622 418 87 10 4 1 0 \n", + "6 : 6653 394 79 10 2 1 3 \n", + "7 : 6643 415 71 4 3 3 3 \n", + "8 : 6635 417 76 8 4 1 1 \n", + "9 : 6659 400 69 10 3 0 1 \n", + "10 : 6659 384 85 7 5 0 2 \n", + "11 : 6669 378 82 9 1 2 1 \n", + "12 : 6643 407 79 6 4 2 1 \n", + "13 : 6613 429 98 8 2 2 2 \n", + "\n", + "T : 92940 5737 1112 123 43 18 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.7130e-03 sec\n", + "--- Collate = 5.6285e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.980200e-07 < 1.562500e-03 [19]\n", + "--- Max DT=3.051732e-01 > 1.000000e-01 [71752]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 71752/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=33.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000420229 [ 0.18 %]\n", + "Velocity : 0.00120235 [ 0.51 %]\n", + "Force : 0.0472087 [ 20.14 %]\n", + "Coefs : 0.022306 [ 9.51 %]\n", + "Output : 0.00216585 [ 0.92 %]\n", + "Levels : 0.000181471 [ 0.08 %]\n", + "Report : 1.027e-06 [ 0.00 %]\n", + "Balance : 4.43e-07 [ 0.00 %]\n", + "Adjust : 0.16082 [ 68.59 %]\n", + "Total : 0.234457 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6622 410 100 8 2 0 0 \n", + "1 : 6599 458 67 13 2 1 2 \n", + "2 : 6677 389 61 10 2 0 3 \n", + "3 : 6635 414 75 8 4 2 4 \n", + "4 : 6613 422 83 10 5 1 8 \n", + "5 : 6621 419 85 12 4 0 1 \n", + "6 : 6655 392 79 10 2 2 2 \n", + "7 : 6643 414 73 4 2 1 5 \n", + "8 : 6636 415 78 6 3 3 1 \n", + "9 : 6658 402 68 12 1 0 1 \n", + "10 : 6663 378 85 9 5 1 1 \n", + "11 : 6667 379 83 9 3 1 0 \n", + "12 : 6642 407 80 5 6 1 1 \n", + "13 : 6610 432 99 9 2 0 2 \n", + "\n", + "T : 92941 5731 1116 125 43 13 31 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.2521e-03 sec\n", + "--- Collate = 5.3367e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.485152e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.051814e-01 > 1.000000e-01 [71747]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71747/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=33.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000417886 [ 0.18 %]\n", + "Velocity : 0.00106532 [ 0.46 %]\n", + "Force : 0.047323 [ 20.56 %]\n", + "Coefs : 0.022422 [ 9.74 %]\n", + "Output : 0.00206867 [ 0.90 %]\n", + "Levels : 0.00019263 [ 0.08 %]\n", + "Report : 1.01e-06 [ 0.00 %]\n", + "Balance : 4.72e-07 [ 0.00 %]\n", + "Adjust : 0.156582 [ 68.02 %]\n", + "Total : 0.230214 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6621 412 98 10 1 0 0 \n", + "1 : 6599 459 69 9 3 1 2 \n", + "2 : 6680 386 63 8 2 1 2 \n", + "3 : 6635 415 74 8 5 2 3 \n", + "4 : 6613 423 82 9 6 1 8 \n", + "5 : 6620 420 87 9 5 0 1 \n", + "6 : 6652 395 79 11 2 1 2 \n", + "7 : 6641 415 75 4 1 2 4 \n", + "8 : 6637 412 79 8 2 1 3 \n", + "9 : 6654 406 69 10 2 1 0 \n", + "10 : 6664 377 85 10 3 3 0 \n", + "11 : 6663 382 85 10 0 1 1 \n", + "12 : 6641 404 83 8 3 1 2 \n", + "13 : 6609 434 98 10 1 1 1 \n", + "\n", + "T : 92929 5740 1126 124 36 16 29 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.2654e-03 sec\n", + "--- Collate = 5.6814e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.512286e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.051897e-01 > 1.000000e-01 [71745]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71745/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=33.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000404832 [ 0.18 %]\n", + "Velocity : 0.00115545 [ 0.51 %]\n", + "Force : 0.0462335 [ 20.45 %]\n", + "Coefs : 0.0227669 [ 10.07 %]\n", + "Output : 0.00202253 [ 0.89 %]\n", + "Levels : 0.000161771 [ 0.07 %]\n", + "Report : 8.79e-07 [ 0.00 %]\n", + "Balance : 4.25e-07 [ 0.00 %]\n", + "Adjust : 0.15319 [ 67.76 %]\n", + "Total : 0.226071 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6620 415 96 10 0 1 0 \n", + "1 : 6597 461 69 10 2 1 2 \n", + "2 : 6678 388 62 8 3 3 0 \n", + "3 : 6633 416 75 10 4 3 1 \n", + "4 : 6613 423 80 10 4 7 5 \n", + "5 : 6620 419 87 9 6 0 1 \n", + "6 : 6652 395 80 9 5 0 1 \n", + "7 : 6638 419 73 6 0 3 3 \n", + "8 : 6638 409 80 9 2 1 3 \n", + "9 : 6651 409 69 9 4 0 0 \n", + "10 : 6664 377 86 10 1 3 1 \n", + "11 : 6664 382 86 8 0 1 1 \n", + "12 : 6643 401 84 7 4 1 2 \n", + "13 : 6608 434 98 9 3 1 1 \n", + "\n", + "T : 92919 5748 1125 124 38 25 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.9361e-03 sec\n", + "--- Collate = 6.0443e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.973509e-04 < 1.562500e-03 [7]\n", + "--- Max DT=3.051980e-01 > 1.000000e-01 [71740]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71740/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=34] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000405472 [ 0.16 %]\n", + "Velocity : 0.00113465 [ 0.43 %]\n", + "Force : 0.048613 [ 18.59 %]\n", + "Coefs : 0.0228566 [ 8.74 %]\n", + "Output : 0.0259892 [ 9.94 %]\n", + "Levels : 0.000242219 [ 0.09 %]\n", + "Report : 1.22e-06 [ 0.00 %]\n", + "Balance : 5.72e-07 [ 0.00 %]\n", + "Adjust : 0.162085 [ 61.99 %]\n", + "Total : 0.261471 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6617 418 93 12 1 1 0 \n", + "1 : 6595 464 69 8 4 1 1 \n", + "2 : 6677 390 62 7 4 2 0 \n", + "3 : 6631 417 78 9 3 3 1 \n", + "4 : 6609 426 83 8 5 7 4 \n", + "5 : 6620 418 88 8 6 2 0 \n", + "6 : 6649 398 82 7 3 3 0 \n", + "7 : 6640 415 75 5 3 2 2 \n", + "8 : 6637 411 79 10 1 1 3 \n", + "9 : 6648 411 71 8 4 0 0 \n", + "10 : 6658 383 86 9 4 1 1 \n", + "11 : 6665 381 86 6 1 1 2 \n", + "12 : 6640 407 80 7 4 2 2 \n", + "13 : 6609 434 96 9 4 2 0 \n", + "\n", + "T : 92895 5773 1128 113 47 28 16 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.2135e-03 sec\n", + "--- Collate = 5.9311e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.894713e-04 < 1.562500e-03 [11]\n", + "--- Max DT=3.052062e-01 > 1.000000e-01 [71736]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71736/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=34.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000547085 [ 0.24 %]\n", + "Velocity : 0.00132012 [ 0.58 %]\n", + "Force : 0.0465517 [ 20.52 %]\n", + "Coefs : 0.0228181 [ 10.06 %]\n", + "Output : 0.00167442 [ 0.74 %]\n", + "Levels : 0.00016232 [ 0.07 %]\n", + "Report : 9.78e-07 [ 0.00 %]\n", + "Balance : 3.32e-07 [ 0.00 %]\n", + "Adjust : 0.153661 [ 67.73 %]\n", + "Total : 0.226867 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6616 419 93 11 2 0 1 \n", + "1 : 6600 462 67 6 5 1 1 \n", + "2 : 6676 392 61 7 4 1 1 \n", + "3 : 6633 415 79 7 5 2 1 \n", + "4 : 6608 425 85 10 6 2 6 \n", + "5 : 6619 419 88 9 6 1 0 \n", + "6 : 6646 401 80 10 1 2 2 \n", + "7 : 6637 418 76 5 3 2 1 \n", + "8 : 6635 413 78 11 0 4 1 \n", + "9 : 6649 411 71 8 2 1 0 \n", + "10 : 6662 379 86 9 5 0 1 \n", + "11 : 6667 381 83 6 1 2 2 \n", + "12 : 6642 406 79 7 4 3 1 \n", + "13 : 6609 434 96 8 5 1 1 \n", + "\n", + "T : 92899 5775 1122 114 49 22 19 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.6750e-03 sec\n", + "--- Collate = 5.8705e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.709269e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.052144e-01 > 1.000000e-01 [71733]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71733/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=34.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00048841 [ 0.22 %]\n", + "Velocity : 0.00100201 [ 0.45 %]\n", + "Force : 0.0465444 [ 20.75 %]\n", + "Coefs : 0.0222848 [ 9.93 %]\n", + "Output : 0.00167209 [ 0.75 %]\n", + "Levels : 0.000203058 [ 0.09 %]\n", + "Report : 8.42e-07 [ 0.00 %]\n", + "Balance : 3.3e-07 [ 0.00 %]\n", + "Adjust : 0.152017 [ 67.76 %]\n", + "Total : 0.224347 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6618 416 92 12 2 1 1 \n", + "1 : 6600 460 68 7 4 3 0 \n", + "2 : 6673 394 62 8 3 1 1 \n", + "3 : 6630 418 78 8 6 0 2 \n", + "4 : 6608 424 86 11 6 1 6 \n", + "5 : 6618 421 87 10 5 0 1 \n", + "6 : 6643 406 79 7 2 3 2 \n", + "7 : 6635 421 76 5 3 1 1 \n", + "8 : 6634 415 78 9 4 0 2 \n", + "9 : 6649 411 69 9 1 3 0 \n", + "10 : 6663 379 85 11 2 2 0 \n", + "11 : 6665 381 84 6 3 0 3 \n", + "12 : 6644 405 78 9 2 0 4 \n", + "13 : 6607 436 95 9 5 1 1 \n", + "\n", + "T : 92887 5787 1117 121 48 16 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.6206e-03 sec\n", + "--- Collate = 5.6437e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.471288e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.052225e-01 > 1.000000e-01 [71724]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71724/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=34.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000380737 [ 0.17 %]\n", + "Velocity : 0.000959406 [ 0.42 %]\n", + "Force : 0.0448542 [ 19.73 %]\n", + "Coefs : 0.0225522 [ 9.92 %]\n", + "Output : 0.00182562 [ 0.80 %]\n", + "Levels : 0.000188445 [ 0.08 %]\n", + "Report : 8.31e-07 [ 0.00 %]\n", + "Balance : 3.28e-07 [ 0.00 %]\n", + "Adjust : 0.15646 [ 68.82 %]\n", + "Total : 0.227362 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6617 417 92 12 1 2 1 \n", + "1 : 6599 462 68 7 3 2 1 \n", + "2 : 6672 395 61 10 1 1 2 \n", + "3 : 6627 419 81 8 5 0 2 \n", + "4 : 6607 425 87 7 9 3 4 \n", + "5 : 6617 420 89 11 2 2 1 \n", + "6 : 6640 409 80 6 2 0 5 \n", + "7 : 6636 421 75 6 3 0 1 \n", + "8 : 6635 413 80 8 4 0 2 \n", + "9 : 6646 415 70 7 1 1 2 \n", + "10 : 6665 376 87 8 5 1 0 \n", + "11 : 6662 384 84 7 1 2 2 \n", + "12 : 6642 409 76 8 3 1 3 \n", + "13 : 6605 436 95 10 4 2 2 \n", + "\n", + "T : 92870 5801 1125 115 44 17 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.7022e-03 sec\n", + "--- Collate = 5.9207e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.227950e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.052303e-01 > 1.000000e-01 [71699]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71699/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=34.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000398234 [ 0.18 %]\n", + "Velocity : 0.000953466 [ 0.43 %]\n", + "Force : 0.0454285 [ 20.30 %]\n", + "Coefs : 0.0224756 [ 10.04 %]\n", + "Output : 0.00167699 [ 0.75 %]\n", + "Levels : 0.000176498 [ 0.08 %]\n", + "Report : 9.8e-07 [ 0.00 %]\n", + "Balance : 3.39e-07 [ 0.00 %]\n", + "Adjust : 0.152554 [ 68.17 %]\n", + "Total : 0.223792 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6615 418 94 9 3 1 2 \n", + "1 : 6598 463 67 7 4 2 1 \n", + "2 : 6668 400 62 8 1 1 2 \n", + "3 : 6632 417 78 10 3 1 1 \n", + "4 : 6608 422 88 10 7 6 1 \n", + "5 : 6619 417 90 11 2 1 2 \n", + "6 : 6640 409 77 7 3 3 3 \n", + "7 : 6635 420 75 10 0 1 1 \n", + "8 : 6635 415 77 10 2 2 1 \n", + "9 : 6643 419 66 9 2 0 3 \n", + "10 : 6668 375 84 9 4 1 1 \n", + "11 : 6665 379 86 7 1 2 2 \n", + "12 : 6641 410 77 6 4 1 3 \n", + "13 : 6607 434 94 12 3 1 3 \n", + "\n", + "T : 92874 5798 1115 125 39 23 26 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.6669e-03 sec\n", + "--- Collate = 5.8510e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.573908e-06 < 1.562500e-03 [12]\n", + "--- Max DT=3.052379e-01 > 1.000000e-01 [71699]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71699/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=34.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000370262 [ 0.16 %]\n", + "Velocity : 0.000957764 [ 0.42 %]\n", + "Force : 0.0466901 [ 20.70 %]\n", + "Coefs : 0.022492 [ 9.97 %]\n", + "Output : 0.00172893 [ 0.77 %]\n", + "Levels : 0.000169185 [ 0.08 %]\n", + "Report : 8.75e-07 [ 0.00 %]\n", + "Balance : 3.35e-07 [ 0.00 %]\n", + "Adjust : 0.152969 [ 67.83 %]\n", + "Total : 0.225507 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6615 419 93 8 5 0 2 \n", + "1 : 6593 467 68 6 4 3 1 \n", + "2 : 6669 399 63 6 2 1 2 \n", + "3 : 6631 416 80 8 5 2 0 \n", + "4 : 6606 425 88 11 9 1 2 \n", + "5 : 6617 421 87 12 1 2 2 \n", + "6 : 6643 403 80 8 2 3 3 \n", + "7 : 6632 422 75 9 2 1 1 \n", + "8 : 6634 419 72 11 3 2 1 \n", + "9 : 6639 423 67 8 2 0 3 \n", + "10 : 6673 372 82 8 4 2 1 \n", + "11 : 6665 379 86 7 2 2 1 \n", + "12 : 6641 409 77 6 5 3 1 \n", + "13 : 6605 435 94 12 4 1 3 \n", + "\n", + "T : 92863 5809 1112 120 50 23 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.6987e-03 sec\n", + "--- Collate = 5.6752e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.268221e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.052452e-01 > 1.000000e-01 [71695]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71695/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=34.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000390823 [ 0.17 %]\n", + "Velocity : 0.000961164 [ 0.43 %]\n", + "Force : 0.0468594 [ 20.84 %]\n", + "Coefs : 0.0235021 [ 10.45 %]\n", + "Output : 0.00184119 [ 0.82 %]\n", + "Levels : 0.000179175 [ 0.08 %]\n", + "Report : 7.44e-07 [ 0.00 %]\n", + "Balance : 4.07e-07 [ 0.00 %]\n", + "Adjust : 0.150971 [ 67.14 %]\n", + "Total : 0.224847 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6615 422 91 6 6 0 2 \n", + "1 : 6591 468 67 8 3 3 2 \n", + "2 : 6670 397 64 5 4 1 1 \n", + "3 : 6631 414 82 8 4 3 0 \n", + "4 : 6606 427 89 9 7 2 2 \n", + "5 : 6618 419 87 12 3 1 2 \n", + "6 : 6640 407 78 9 4 3 1 \n", + "7 : 6631 423 75 8 2 2 1 \n", + "8 : 6636 419 71 9 5 1 1 \n", + "9 : 6640 423 66 7 2 3 1 \n", + "10 : 6676 370 82 7 5 0 2 \n", + "11 : 6664 379 86 8 3 0 2 \n", + "12 : 6643 407 77 7 4 1 3 \n", + "13 : 6604 436 96 9 5 2 2 \n", + "\n", + "T : 92865 5811 1111 112 57 22 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.7138e-03 sec\n", + "--- Collate = 6.3606e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.233840e-04 < 1.562500e-03 [10]\n", + "--- Max DT=3.052521e-01 > 1.000000e-01 [71698]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71698/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=34.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000420168 [ 0.18 %]\n", + "Velocity : 0.00114621 [ 0.48 %]\n", + "Force : 0.0476273 [ 20.05 %]\n", + "Coefs : 0.0229032 [ 9.64 %]\n", + "Output : 0.00238633 [ 1.00 %]\n", + "Levels : 0.000267583 [ 0.11 %]\n", + "Report : 1.187e-06 [ 0.00 %]\n", + "Balance : 4.72e-07 [ 0.00 %]\n", + "Adjust : 0.162627 [ 68.46 %]\n", + "Total : 0.237551 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6612 424 92 7 4 3 0 \n", + "1 : 6583 476 66 10 2 1 4 \n", + "2 : 6669 398 65 4 4 2 0 \n", + "3 : 6631 415 81 7 5 1 2 \n", + "4 : 6606 425 89 12 6 2 2 \n", + "5 : 6620 416 88 12 3 2 1 \n", + "6 : 6641 406 77 9 4 4 1 \n", + "7 : 6628 429 74 5 4 0 2 \n", + "8 : 6637 417 71 11 3 2 1 \n", + "9 : 6637 426 65 8 4 1 1 \n", + "10 : 6672 373 82 7 3 3 2 \n", + "11 : 6663 380 86 7 3 2 1 \n", + "12 : 6642 408 78 6 3 2 3 \n", + "13 : 6600 440 97 9 4 3 1 \n", + "\n", + "T : 92841 5833 1111 114 52 28 21 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.7434e-03 sec\n", + "--- Collate = 6.5384e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.789398e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.052587e-01 > 1.000000e-01 [71698]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71698/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=34.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000493933 [ 0.22 %]\n", + "Velocity : 0.0012015 [ 0.53 %]\n", + "Force : 0.0457506 [ 20.34 %]\n", + "Coefs : 0.0219847 [ 9.77 %]\n", + "Output : 0.00228964 [ 1.02 %]\n", + "Levels : 0.000212859 [ 0.09 %]\n", + "Report : 8.96e-07 [ 0.00 %]\n", + "Balance : 5.86e-07 [ 0.00 %]\n", + "Adjust : 0.152855 [ 67.95 %]\n", + "Total : 0.224938 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6612 423 93 7 4 2 1 \n", + "1 : 6584 477 63 11 2 1 4 \n", + "2 : 6670 399 63 3 6 1 0 \n", + "3 : 6632 415 82 5 4 1 3 \n", + "4 : 6605 428 88 11 5 3 2 \n", + "5 : 6617 418 89 10 7 1 0 \n", + "6 : 6643 404 77 11 3 1 3 \n", + "7 : 6629 426 76 5 1 4 1 \n", + "8 : 6635 419 71 10 4 2 1 \n", + "9 : 6637 425 67 9 3 0 1 \n", + "10 : 6673 373 83 5 4 0 4 \n", + "11 : 6664 380 85 8 2 1 2 \n", + "12 : 6640 410 79 5 2 3 3 \n", + "13 : 6599 441 97 8 5 3 1 \n", + "\n", + "T : 92840 5838 1113 108 52 23 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.8073e-03 sec\n", + "--- Collate = 6.8871e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.297791e-04 < 1.562500e-03 [17]\n", + "--- Max DT=3.052650e-01 > 1.000000e-01 [71703]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71703/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=34.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000442195 [ 0.19 %]\n", + "Velocity : 0.00115956 [ 0.50 %]\n", + "Force : 0.0460597 [ 20.06 %]\n", + "Coefs : 0.0224645 [ 9.78 %]\n", + "Output : 0.00225909 [ 0.98 %]\n", + "Levels : 0.000230085 [ 0.10 %]\n", + "Report : 1.097e-06 [ 0.00 %]\n", + "Balance : 5.87e-07 [ 0.00 %]\n", + "Adjust : 0.156898 [ 68.32 %]\n", + "Total : 0.229661 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6613 425 88 10 3 2 1 \n", + "1 : 6582 478 64 11 2 2 3 \n", + "2 : 6666 403 63 6 3 0 1 \n", + "3 : 6632 415 80 7 3 0 5 \n", + "4 : 6603 430 89 11 2 3 4 \n", + "5 : 6619 415 89 12 5 1 1 \n", + "6 : 6642 406 77 8 5 1 3 \n", + "7 : 6626 427 78 5 1 2 3 \n", + "8 : 6638 416 70 11 4 1 2 \n", + "9 : 6637 424 68 9 3 0 1 \n", + "10 : 6672 375 81 6 4 1 3 \n", + "11 : 6660 383 85 10 1 2 1 \n", + "12 : 6641 409 79 6 1 4 2 \n", + "13 : 6603 436 101 5 6 2 1 \n", + "\n", + "T : 92834 5842 1112 117 43 21 31 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.7616e-03 sec\n", + "--- Collate = 4.3334e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.520241e-06 < 1.562500e-03 [18]\n", + "--- Max DT=3.052709e-01 > 1.000000e-01 [71709]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 71709/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=35] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000423018 [ 0.16 %]\n", + "Velocity : 0.00109621 [ 0.42 %]\n", + "Force : 0.0471878 [ 18.28 %]\n", + "Coefs : 0.0225245 [ 8.73 %]\n", + "Output : 0.03124 [ 12.10 %]\n", + "Levels : 0.000163835 [ 0.06 %]\n", + "Report : 1.476e-06 [ 0.00 %]\n", + "Balance : 7.86e-07 [ 0.00 %]\n", + "Adjust : 0.155354 [ 60.18 %]\n", + "Total : 0.258133 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6615 424 89 9 1 2 2 \n", + "1 : 6583 474 68 12 0 4 1 \n", + "2 : 6663 406 62 7 2 1 1 \n", + "3 : 6634 412 82 6 3 2 3 \n", + "4 : 6601 434 86 11 4 2 4 \n", + "5 : 6621 415 86 15 1 2 2 \n", + "6 : 6640 407 78 11 2 1 3 \n", + "7 : 6631 422 79 4 2 1 3 \n", + "8 : 6638 416 70 11 4 1 2 \n", + "9 : 6642 417 70 10 2 0 1 \n", + "10 : 6673 374 81 7 4 0 3 \n", + "11 : 6660 385 84 8 3 1 1 \n", + "12 : 6637 412 80 6 3 1 3 \n", + "13 : 6600 438 97 9 6 4 0 \n", + "\n", + "T : 92838 5836 1112 126 37 22 29 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.2097e-03 sec\n", + "--- Collate = 6.8550e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.083666e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.052764e-01 > 1.000000e-01 [71723]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71723/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=35.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000882977 [ 0.36 %]\n", + "Velocity : 0.0025155 [ 1.03 %]\n", + "Force : 0.0477126 [ 19.60 %]\n", + "Coefs : 0.0216901 [ 8.91 %]\n", + "Output : 0.00471834 [ 1.94 %]\n", + "Levels : 0.000296211 [ 0.12 %]\n", + "Report : 6.97e-07 [ 0.00 %]\n", + "Balance : 4.22e-07 [ 0.00 %]\n", + "Adjust : 0.165464 [ 67.97 %]\n", + "Total : 0.243438 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6613 425 90 10 1 1 2 \n", + "1 : 6587 470 68 12 1 4 0 \n", + "2 : 6663 406 61 7 3 1 1 \n", + "3 : 6632 413 81 8 4 2 2 \n", + "4 : 6603 433 86 8 6 1 5 \n", + "5 : 6621 415 86 15 0 1 4 \n", + "6 : 6642 405 80 9 2 4 0 \n", + "7 : 6633 419 81 3 3 0 3 \n", + "8 : 6640 413 70 12 4 2 1 \n", + "9 : 6643 416 70 9 1 3 0 \n", + "10 : 6673 374 81 5 5 4 0 \n", + "11 : 6660 385 85 8 2 1 1 \n", + "12 : 6638 411 80 7 3 1 2 \n", + "13 : 6600 437 99 8 5 4 1 \n", + "\n", + "T : 92848 5822 1118 121 40 29 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.4519e-03 sec\n", + "--- Collate = 4.3765e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.062837e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.052812e-01 > 1.000000e-01 [71739]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71739/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=35.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000926828 [ 0.39 %]\n", + "Velocity : 0.00241078 [ 1.00 %]\n", + "Force : 0.0477988 [ 19.91 %]\n", + "Coefs : 0.0214312 [ 8.93 %]\n", + "Output : 0.00454403 [ 1.89 %]\n", + "Levels : 0.000222734 [ 0.09 %]\n", + "Report : 5.95e-07 [ 0.00 %]\n", + "Balance : 4.17e-07 [ 0.00 %]\n", + "Adjust : 0.16262 [ 67.72 %]\n", + "Total : 0.240123 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6614 423 91 11 1 0 2 \n", + "1 : 6587 470 70 10 4 1 0 \n", + "2 : 6662 406 61 8 3 1 1 \n", + "3 : 6630 415 81 9 5 2 0 \n", + "4 : 6602 431 89 9 5 2 4 \n", + "5 : 6624 414 84 14 1 2 3 \n", + "6 : 6643 405 81 7 3 2 1 \n", + "7 : 6631 421 78 7 2 2 1 \n", + "8 : 6642 412 68 11 5 3 1 \n", + "9 : 6642 417 71 8 2 0 2 \n", + "10 : 6675 371 81 5 6 4 0 \n", + "11 : 6661 384 85 8 3 0 1 \n", + "12 : 6636 414 79 8 3 1 1 \n", + "13 : 6598 439 98 8 4 4 3 \n", + "\n", + "T : 92847 5822 1117 123 47 24 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.6763e-03 sec\n", + "--- Collate = 5.2478e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.184035e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.052854e-01 > 1.000000e-01 [71730]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71730/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=35.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000932503 [ 0.38 %]\n", + "Velocity : 0.00219847 [ 0.90 %]\n", + "Force : 0.0488008 [ 20.03 %]\n", + "Coefs : 0.021673 [ 8.89 %]\n", + "Output : 0.00470112 [ 1.93 %]\n", + "Levels : 0.00024459 [ 0.10 %]\n", + "Report : 6.58e-07 [ 0.00 %]\n", + "Balance : 3.7e-07 [ 0.00 %]\n", + "Adjust : 0.164934 [ 67.69 %]\n", + "Total : 0.24367 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6616 422 90 8 3 2 1 \n", + "1 : 6587 471 69 10 4 1 0 \n", + "2 : 6657 412 61 5 5 1 1 \n", + "3 : 6630 417 81 6 7 1 0 \n", + "4 : 6599 434 88 13 1 3 4 \n", + "5 : 6625 414 82 14 1 4 2 \n", + "6 : 6643 406 79 8 3 0 3 \n", + "7 : 6626 425 79 8 1 3 0 \n", + "8 : 6642 412 68 10 6 2 2 \n", + "9 : 6643 418 67 10 1 1 2 \n", + "10 : 6670 377 80 6 6 2 1 \n", + "11 : 6659 387 86 6 1 2 1 \n", + "12 : 6632 419 78 9 2 2 0 \n", + "13 : 6598 440 98 6 5 2 5 \n", + "\n", + "T : 92827 5854 1106 119 46 26 22 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.7462e-03 sec\n", + "--- Collate = 6.0351e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.522901e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.052889e-01 > 1.000000e-01 [71730]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71730/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=35.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00093932 [ 0.38 %]\n", + "Velocity : 0.00233524 [ 0.95 %]\n", + "Force : 0.0492297 [ 20.11 %]\n", + "Coefs : 0.0216399 [ 8.84 %]\n", + "Output : 0.00463314 [ 1.89 %]\n", + "Levels : 0.000294778 [ 0.12 %]\n", + "Report : 7.14e-07 [ 0.00 %]\n", + "Balance : 3.38e-07 [ 0.00 %]\n", + "Adjust : 0.165551 [ 67.63 %]\n", + "Total : 0.244791 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6617 420 93 7 2 1 2 \n", + "1 : 6586 473 68 9 6 0 0 \n", + "2 : 6657 412 61 4 3 4 1 \n", + "3 : 6631 415 84 6 6 0 0 \n", + "4 : 6603 430 91 10 2 3 3 \n", + "5 : 6622 418 81 14 3 3 1 \n", + "6 : 6645 405 78 9 2 0 3 \n", + "7 : 6626 426 78 8 3 1 0 \n", + "8 : 6642 412 67 12 4 2 3 \n", + "9 : 6646 414 72 7 0 1 2 \n", + "10 : 6668 378 81 8 4 1 2 \n", + "11 : 6658 386 88 5 2 3 0 \n", + "12 : 6631 421 78 7 3 1 1 \n", + "13 : 6595 443 97 6 4 5 4 \n", + "\n", + "T : 92827 5853 1117 112 44 25 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.7646e-03 sec\n", + "--- Collate = 5.6387e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.842748e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.052917e-01 > 1.000000e-01 [71744]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71744/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=35.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000940952 [ 0.40 %]\n", + "Velocity : 0.0023643 [ 1.01 %]\n", + "Force : 0.0472822 [ 20.12 %]\n", + "Coefs : 0.0213913 [ 9.10 %]\n", + "Output : 0.00447321 [ 1.90 %]\n", + "Levels : 0.000238293 [ 0.10 %]\n", + "Report : 6.52e-07 [ 0.00 %]\n", + "Balance : 3.82e-07 [ 0.00 %]\n", + "Adjust : 0.158128 [ 67.30 %]\n", + "Total : 0.234976 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6616 421 91 8 3 2 1 \n", + "1 : 6586 472 72 7 4 1 0 \n", + "2 : 6657 409 64 5 2 2 3 \n", + "3 : 6629 417 84 9 2 1 0 \n", + "4 : 6605 427 92 9 4 2 3 \n", + "5 : 6619 421 85 8 5 3 1 \n", + "6 : 6646 407 76 8 3 0 2 \n", + "7 : 6628 425 76 9 2 1 1 \n", + "8 : 6640 411 71 10 5 3 2 \n", + "9 : 6649 409 72 8 1 1 2 \n", + "10 : 6668 380 80 10 1 0 3 \n", + "11 : 6660 386 86 6 1 1 2 \n", + "12 : 6631 419 78 9 2 1 2 \n", + "13 : 6599 439 95 8 3 8 2 \n", + "\n", + "T : 92833 5843 1122 114 38 26 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.7373e-03 sec\n", + "--- Collate = 5.8429e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.527168e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.052939e-01 > 1.000000e-01 [71721]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71721/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=35.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000926936 [ 0.39 %]\n", + "Velocity : 0.00235646 [ 1.00 %]\n", + "Force : 0.0470584 [ 20.01 %]\n", + "Coefs : 0.0213356 [ 9.07 %]\n", + "Output : 0.00457937 [ 1.95 %]\n", + "Levels : 0.000237253 [ 0.10 %]\n", + "Report : 3.87e-07 [ 0.00 %]\n", + "Balance : 4.13e-07 [ 0.00 %]\n", + "Adjust : 0.158519 [ 67.41 %]\n", + "Total : 0.235174 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6619 416 94 5 4 2 2 \n", + "1 : 6585 474 71 8 2 2 0 \n", + "2 : 6661 405 64 5 2 2 3 \n", + "3 : 6624 421 83 12 0 1 1 \n", + "4 : 6603 429 90 11 4 2 3 \n", + "5 : 6618 420 85 11 6 1 1 \n", + "6 : 6646 408 74 9 0 4 1 \n", + "7 : 6628 426 75 10 1 1 1 \n", + "8 : 6639 412 73 9 4 2 3 \n", + "9 : 6648 410 72 7 3 1 1 \n", + "10 : 6668 381 81 8 1 1 2 \n", + "11 : 6663 383 84 7 2 0 3 \n", + "12 : 6631 417 82 7 1 2 2 \n", + "13 : 6599 438 96 6 7 6 2 \n", + "\n", + "T : 92832 5840 1124 115 37 27 25 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.6337e-03 sec\n", + "--- Collate = 5.4690e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.446235e-06 < 1.562500e-03 [14]\n", + "--- Max DT=3.052955e-01 > 1.000000e-01 [71712]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71712/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=35.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000942504 [ 0.40 %]\n", + "Velocity : 0.00239015 [ 1.01 %]\n", + "Force : 0.0484144 [ 20.48 %]\n", + "Coefs : 0.0215144 [ 9.10 %]\n", + "Output : 0.00452156 [ 1.91 %]\n", + "Levels : 0.000238077 [ 0.10 %]\n", + "Report : 7.22e-07 [ 0.00 %]\n", + "Balance : 3.66e-07 [ 0.00 %]\n", + "Adjust : 0.158223 [ 66.92 %]\n", + "Total : 0.236424 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6619 416 93 6 6 1 1 \n", + "1 : 6588 466 75 9 2 0 2 \n", + "2 : 6661 404 65 7 1 1 3 \n", + "3 : 6626 419 87 8 0 1 1 \n", + "4 : 6602 428 92 11 4 3 2 \n", + "5 : 6620 418 85 12 4 2 1 \n", + "6 : 6648 405 74 8 3 1 3 \n", + "7 : 6628 427 74 11 1 0 1 \n", + "8 : 6639 413 73 8 3 2 4 \n", + "9 : 6646 413 71 6 4 1 1 \n", + "10 : 6665 385 77 11 2 1 1 \n", + "11 : 6662 385 84 7 1 0 3 \n", + "12 : 6632 416 82 7 0 2 3 \n", + "13 : 6596 443 95 8 8 1 3 \n", + "\n", + "T : 92832 5838 1127 119 39 16 29 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.6421e-03 sec\n", + "--- Collate = 5.6823e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.223325e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.052967e-01 > 1.000000e-01 [71731]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71731/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=35.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000919741 [ 0.39 %]\n", + "Velocity : 0.00235511 [ 1.00 %]\n", + "Force : 0.0474745 [ 20.11 %]\n", + "Coefs : 0.0218774 [ 9.27 %]\n", + "Output : 0.00453689 [ 1.92 %]\n", + "Levels : 0.000278914 [ 0.12 %]\n", + "Report : 6.94e-07 [ 0.00 %]\n", + "Balance : 3.71e-07 [ 0.00 %]\n", + "Adjust : 0.158503 [ 67.13 %]\n", + "Total : 0.236103 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6616 420 90 8 5 2 1 \n", + "1 : 6587 467 75 10 0 1 2 \n", + "2 : 6663 404 64 5 2 1 3 \n", + "3 : 6628 417 87 8 0 0 2 \n", + "4 : 6599 433 89 11 6 2 2 \n", + "5 : 6621 419 83 12 5 0 2 \n", + "6 : 6652 401 74 8 4 0 3 \n", + "7 : 6632 422 76 9 1 2 0 \n", + "8 : 6635 417 74 5 3 2 6 \n", + "9 : 6645 415 70 6 3 3 0 \n", + "10 : 6663 387 76 12 3 1 0 \n", + "11 : 6664 383 83 8 1 2 1 \n", + "12 : 6630 420 79 7 1 2 3 \n", + "13 : 6599 439 94 7 9 3 3 \n", + "\n", + "T : 92834 5844 1114 116 43 21 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.7128e-03 sec\n", + "--- Collate = 5.0723e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.100453e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.052976e-01 > 1.000000e-01 [71749]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71749/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=35.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000950289 [ 0.40 %]\n", + "Velocity : 0.00233606 [ 0.99 %]\n", + "Force : 0.0469226 [ 19.86 %]\n", + "Coefs : 0.0216298 [ 9.15 %]\n", + "Output : 0.00440908 [ 1.87 %]\n", + "Levels : 0.000264822 [ 0.11 %]\n", + "Report : 6.58e-07 [ 0.00 %]\n", + "Balance : 3.81e-07 [ 0.00 %]\n", + "Adjust : 0.159588 [ 67.55 %]\n", + "Total : 0.236264 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6619 418 89 8 6 1 1 \n", + "1 : 6588 466 73 12 0 1 2 \n", + "2 : 6662 404 65 5 1 4 1 \n", + "3 : 6628 415 86 10 1 1 1 \n", + "4 : 6598 435 88 14 5 1 1 \n", + "5 : 6621 419 82 13 4 1 2 \n", + "6 : 6646 408 72 9 3 2 2 \n", + "7 : 6630 426 74 9 0 3 0 \n", + "8 : 6638 414 75 4 2 5 4 \n", + "9 : 6647 413 69 9 2 0 2 \n", + "10 : 6664 386 75 12 4 1 0 \n", + "11 : 6664 384 82 9 1 2 0 \n", + "12 : 6633 418 79 6 1 2 3 \n", + "13 : 6599 443 91 8 7 3 3 \n", + "\n", + "T : 92837 5849 1100 128 37 27 22 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.8718e-03 sec\n", + "--- Collate = 5.0819e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.500499e-07 < 1.562500e-03 [14]\n", + "--- Max DT=3.052984e-01 > 1.000000e-01 [71755]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71755/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=36] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000934748 [ 0.35 %]\n", + "Velocity : 0.00238786 [ 0.90 %]\n", + "Force : 0.0484599 [ 18.30 %]\n", + "Coefs : 0.0215033 [ 8.12 %]\n", + "Output : 0.0319636 [ 12.07 %]\n", + "Levels : 0.000250971 [ 0.09 %]\n", + "Report : 1.326e-06 [ 0.00 %]\n", + "Balance : 6.51e-07 [ 0.00 %]\n", + "Adjust : 0.159092 [ 60.09 %]\n", + "Total : 0.264748 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6618 422 84 13 3 1 1 \n", + "1 : 6584 469 75 11 1 1 1 \n", + "2 : 6664 402 66 3 5 0 2 \n", + "3 : 6626 416 90 7 2 0 1 \n", + "4 : 6597 434 92 12 4 2 1 \n", + "5 : 6616 424 84 9 6 1 2 \n", + "6 : 6647 406 72 10 2 4 1 \n", + "7 : 6629 425 77 7 2 1 1 \n", + "8 : 6635 416 76 4 5 2 4 \n", + "9 : 6646 417 67 8 1 1 2 \n", + "10 : 6664 383 80 11 3 0 1 \n", + "11 : 6663 385 82 7 3 2 0 \n", + "12 : 6636 412 82 5 2 3 2 \n", + "13 : 6605 434 95 12 3 3 2 \n", + "\n", + "T : 92830 5845 1122 119 42 21 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.8914e-03 sec\n", + "--- Collate = 5.7427e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.893663e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.052990e-01 > 1.000000e-01 [71765]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71765/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=36.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000903529 [ 0.38 %]\n", + "Velocity : 0.00266868 [ 1.13 %]\n", + "Force : 0.0466175 [ 19.80 %]\n", + "Coefs : 0.0213931 [ 9.09 %]\n", + "Output : 0.00461205 [ 1.96 %]\n", + "Levels : 0.000313924 [ 0.13 %]\n", + "Report : 8.64e-07 [ 0.00 %]\n", + "Balance : 3.6e-07 [ 0.00 %]\n", + "Adjust : 0.158761 [ 67.43 %]\n", + "Total : 0.235434 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6620 417 89 13 2 0 1 \n", + "1 : 6581 472 76 10 1 0 2 \n", + "2 : 6662 401 69 3 4 2 1 \n", + "3 : 6622 420 89 8 1 1 1 \n", + "4 : 6604 427 92 13 4 1 1 \n", + "5 : 6613 424 86 9 7 1 2 \n", + "6 : 6645 407 71 12 3 3 1 \n", + "7 : 6632 422 78 6 2 1 1 \n", + "8 : 6638 413 79 4 3 3 2 \n", + "9 : 6645 420 66 8 0 1 2 \n", + "10 : 6663 384 80 13 1 0 1 \n", + "11 : 6663 385 81 9 2 2 0 \n", + "12 : 6634 412 85 3 4 3 1 \n", + "13 : 6605 431 99 11 2 3 3 \n", + "\n", + "T : 92827 5835 1140 122 36 21 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.9491e-03 sec\n", + "--- Collate = 5.5351e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.784099e-04 < 1.562500e-03 [7]\n", + "--- Max DT=3.052994e-01 > 1.000000e-01 [71765]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71765/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=36.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000960535 [ 0.40 %]\n", + "Velocity : 0.00259486 [ 1.09 %]\n", + "Force : 0.0472695 [ 19.83 %]\n", + "Coefs : 0.021655 [ 9.09 %]\n", + "Output : 0.00455987 [ 1.91 %]\n", + "Levels : 0.000301493 [ 0.13 %]\n", + "Report : 7.12e-07 [ 0.00 %]\n", + "Balance : 3.77e-07 [ 0.00 %]\n", + "Adjust : 0.160843 [ 67.48 %]\n", + "Total : 0.238346 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6617 419 89 14 2 1 0 \n", + "1 : 6582 472 76 8 2 1 1 \n", + "2 : 6661 400 70 6 3 1 1 \n", + "3 : 6622 420 90 8 0 0 2 \n", + "4 : 6604 428 91 15 3 0 1 \n", + "5 : 6612 426 85 10 3 4 2 \n", + "6 : 6645 408 70 12 3 2 2 \n", + "7 : 6629 423 80 5 4 0 1 \n", + "8 : 6637 414 76 7 2 5 1 \n", + "9 : 6648 417 65 9 0 2 1 \n", + "10 : 6665 382 81 11 2 0 1 \n", + "11 : 6660 389 80 7 3 2 1 \n", + "12 : 6636 411 82 7 5 0 1 \n", + "13 : 6602 433 97 15 2 2 3 \n", + "\n", + "T : 92820 5842 1132 134 34 20 18 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.8313e-03 sec\n", + "--- Collate = 7.5160e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.517500e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.052996e-01 > 1.000000e-01 [71768]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71768/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=36.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000966521 [ 0.40 %]\n", + "Velocity : 0.00229131 [ 0.95 %]\n", + "Force : 0.0472327 [ 19.51 %]\n", + "Coefs : 0.0215798 [ 8.91 %]\n", + "Output : 0.00468197 [ 1.93 %]\n", + "Levels : 0.000272867 [ 0.11 %]\n", + "Report : 4.97e-07 [ 0.00 %]\n", + "Balance : 4.07e-07 [ 0.00 %]\n", + "Adjust : 0.164926 [ 68.12 %]\n", + "Total : 0.242122 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6617 419 90 11 3 2 0 \n", + "1 : 6580 472 78 8 3 0 1 \n", + "2 : 6659 403 69 7 2 1 1 \n", + "3 : 6624 419 89 6 2 0 2 \n", + "4 : 6604 428 93 12 3 1 1 \n", + "5 : 6613 427 82 10 4 3 3 \n", + "6 : 6644 409 69 11 5 1 3 \n", + "7 : 6627 424 82 5 2 2 0 \n", + "8 : 6636 416 76 4 5 4 1 \n", + "9 : 6647 416 67 9 1 1 1 \n", + "10 : 6667 381 81 10 2 1 0 \n", + "11 : 6659 391 79 7 4 1 1 \n", + "12 : 6634 413 82 6 6 1 0 \n", + "13 : 6602 433 97 12 5 2 3 \n", + "\n", + "T : 92813 5851 1134 118 47 20 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.7655e-03 sec\n", + "--- Collate = 5.7427e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.172092e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.052995e-01 > 1.000000e-01 [71760]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71760/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=36.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000939981 [ 0.40 %]\n", + "Velocity : 0.00233468 [ 1.00 %]\n", + "Force : 0.0468892 [ 20.07 %]\n", + "Coefs : 0.0216122 [ 9.25 %]\n", + "Output : 0.00445176 [ 1.91 %]\n", + "Levels : 0.000274742 [ 0.12 %]\n", + "Report : 6.52e-07 [ 0.00 %]\n", + "Balance : 3.98e-07 [ 0.00 %]\n", + "Adjust : 0.156976 [ 67.19 %]\n", + "Total : 0.233643 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6616 420 88 12 5 1 0 \n", + "1 : 6579 471 81 7 3 1 0 \n", + "2 : 6658 404 69 7 1 2 1 \n", + "3 : 6624 419 87 8 2 1 1 \n", + "4 : 6604 428 93 12 3 1 1 \n", + "5 : 6611 431 81 7 5 2 5 \n", + "6 : 6643 411 69 10 4 1 4 \n", + "7 : 6625 425 82 6 1 2 1 \n", + "8 : 6637 416 75 4 5 2 3 \n", + "9 : 6649 415 67 8 2 0 1 \n", + "10 : 6663 385 80 10 3 1 0 \n", + "11 : 6658 392 80 7 0 3 2 \n", + "12 : 6633 412 84 6 5 2 0 \n", + "13 : 6605 430 99 10 6 1 3 \n", + "\n", + "T : 92805 5859 1135 114 45 20 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.8088e-03 sec\n", + "--- Collate = 5.2301e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.394570e-05 < 1.562500e-03 [18]\n", + "--- Max DT=3.052990e-01 > 1.000000e-01 [71767]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 71767/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=36.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00092718 [ 0.38 %]\n", + "Velocity : 0.00243999 [ 1.00 %]\n", + "Force : 0.0495543 [ 20.30 %]\n", + "Coefs : 0.0218996 [ 8.97 %]\n", + "Output : 0.00482221 [ 1.98 %]\n", + "Levels : 0.00031849 [ 0.13 %]\n", + "Report : 6.86e-07 [ 0.00 %]\n", + "Balance : 4.02e-07 [ 0.00 %]\n", + "Adjust : 0.16401 [ 67.18 %]\n", + "Total : 0.244138 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6614 423 87 12 5 0 1 \n", + "1 : 6581 470 79 9 2 1 0 \n", + "2 : 6660 401 70 7 2 1 1 \n", + "3 : 6631 412 87 8 1 3 0 \n", + "4 : 6606 426 94 9 4 2 1 \n", + "5 : 6611 431 80 8 6 1 5 \n", + "6 : 6646 408 69 10 3 2 4 \n", + "7 : 6625 426 80 8 1 0 2 \n", + "8 : 6635 417 75 5 5 2 3 \n", + "9 : 6648 413 69 9 2 0 1 \n", + "10 : 6664 384 80 10 3 1 0 \n", + "11 : 6660 392 77 7 1 2 3 \n", + "12 : 6631 413 83 11 2 1 1 \n", + "13 : 6599 436 101 10 3 3 2 \n", + "\n", + "T : 92811 5852 1131 123 40 19 24 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.7593e-03 sec\n", + "--- Collate = 5.4166e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.911581e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.052981e-01 > 1.000000e-01 [71781]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71781/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=36.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000928022 [ 0.39 %]\n", + "Velocity : 0.00231261 [ 0.98 %]\n", + "Force : 0.0464811 [ 19.68 %]\n", + "Coefs : 0.0214756 [ 9.09 %]\n", + "Output : 0.00465809 [ 1.97 %]\n", + "Levels : 0.000239976 [ 0.10 %]\n", + "Report : 8.56e-07 [ 0.00 %]\n", + "Balance : 3.84e-07 [ 0.00 %]\n", + "Adjust : 0.15991 [ 67.71 %]\n", + "Total : 0.236168 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6612 425 90 9 3 2 1 \n", + "1 : 6580 473 77 9 2 1 0 \n", + "2 : 6659 400 74 4 3 1 1 \n", + "3 : 6628 414 87 9 2 1 1 \n", + "4 : 6607 424 93 10 5 1 2 \n", + "5 : 6610 432 80 7 7 2 4 \n", + "6 : 6645 409 71 9 2 4 2 \n", + "7 : 6624 428 78 10 0 0 2 \n", + "8 : 6632 418 77 7 5 1 2 \n", + "9 : 6651 410 68 10 3 0 0 \n", + "10 : 6663 387 78 10 2 1 1 \n", + "11 : 6660 391 78 7 2 1 3 \n", + "12 : 6630 416 82 10 2 0 2 \n", + "13 : 6603 429 105 10 3 2 2 \n", + "\n", + "T : 92804 5856 1138 121 41 17 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.8282e-03 sec\n", + "--- Collate = 5.8012e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.604404e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.052965e-01 > 1.000000e-01 [71802]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71802/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=36.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000954002 [ 0.41 %]\n", + "Velocity : 0.00243322 [ 1.03 %]\n", + "Force : 0.0466623 [ 19.81 %]\n", + "Coefs : 0.0219728 [ 9.33 %]\n", + "Output : 0.00453639 [ 1.93 %]\n", + "Levels : 0.00023291 [ 0.10 %]\n", + "Report : 6.63e-07 [ 0.00 %]\n", + "Balance : 4.06e-07 [ 0.00 %]\n", + "Adjust : 0.158541 [ 67.32 %]\n", + "Total : 0.235498 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6609 429 87 10 4 2 1 \n", + "1 : 6576 478 75 10 2 1 0 \n", + "2 : 6658 399 76 4 4 0 1 \n", + "3 : 6629 413 86 9 3 0 2 \n", + "4 : 6608 420 97 9 4 2 2 \n", + "5 : 6609 433 80 7 5 7 1 \n", + "6 : 6641 412 71 11 1 3 3 \n", + "7 : 6628 422 80 10 0 1 1 \n", + "8 : 6627 424 77 8 1 5 0 \n", + "9 : 6645 415 69 10 2 1 0 \n", + "10 : 6664 386 80 8 2 0 2 \n", + "11 : 6661 390 78 7 2 2 2 \n", + "12 : 6627 418 81 12 2 1 1 \n", + "13 : 6605 429 103 10 3 1 3 \n", + "\n", + "T : 92787 5868 1140 125 35 26 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.5905e-03 sec\n", + "--- Collate = 5.6005e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.064993e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.052943e-01 > 1.000000e-01 [71799]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71799/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=36.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000913489 [ 0.39 %]\n", + "Velocity : 0.00230825 [ 0.98 %]\n", + "Force : 0.0472854 [ 20.10 %]\n", + "Coefs : 0.0214308 [ 9.11 %]\n", + "Output : 0.00453761 [ 1.93 %]\n", + "Levels : 0.000235048 [ 0.10 %]\n", + "Report : 6.94e-07 [ 0.00 %]\n", + "Balance : 4.04e-07 [ 0.00 %]\n", + "Adjust : 0.158314 [ 67.31 %]\n", + "Total : 0.235208 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6609 429 88 9 4 2 1 \n", + "1 : 6576 478 76 8 3 0 1 \n", + "2 : 6652 405 75 6 2 1 1 \n", + "3 : 6626 415 87 8 3 1 2 \n", + "4 : 6608 420 97 11 3 0 3 \n", + "5 : 6610 429 85 7 5 4 2 \n", + "6 : 6638 416 72 9 1 3 3 \n", + "7 : 6625 424 80 11 1 1 0 \n", + "8 : 6625 424 79 8 3 2 1 \n", + "9 : 6645 415 69 8 3 1 1 \n", + "10 : 6665 386 78 9 2 0 2 \n", + "11 : 6661 391 76 8 3 3 0 \n", + "12 : 6626 417 85 11 0 2 1 \n", + "13 : 6605 427 104 11 3 2 2 \n", + "\n", + "T : 92771 5876 1151 124 36 22 20 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.6450e-03 sec\n", + "--- Collate = 5.6770e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.028705e-06 < 1.562500e-03 [10]\n", + "--- Max DT=3.052914e-01 > 1.000000e-01 [71815]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71815/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=36.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000939951 [ 0.40 %]\n", + "Velocity : 0.00239831 [ 1.02 %]\n", + "Force : 0.0470947 [ 20.06 %]\n", + "Coefs : 0.0214185 [ 9.12 %]\n", + "Output : 0.00458606 [ 1.95 %]\n", + "Levels : 0.000273748 [ 0.12 %]\n", + "Report : 6.6e-07 [ 0.00 %]\n", + "Balance : 4.92e-07 [ 0.00 %]\n", + "Adjust : 0.157895 [ 67.26 %]\n", + "Total : 0.234768 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6608 431 87 9 4 1 2 \n", + "1 : 6578 476 75 10 2 0 1 \n", + "2 : 6650 408 74 6 2 1 1 \n", + "3 : 6624 417 87 10 1 1 2 \n", + "4 : 6608 422 96 10 2 2 2 \n", + "5 : 6614 426 83 9 5 1 4 \n", + "6 : 6639 414 73 8 4 1 3 \n", + "7 : 6625 426 78 9 2 1 1 \n", + "8 : 6626 422 80 8 4 1 1 \n", + "9 : 6642 419 67 9 1 1 3 \n", + "10 : 6666 384 79 9 1 2 1 \n", + "11 : 6663 388 76 9 3 3 0 \n", + "12 : 6626 417 83 10 4 2 0 \n", + "13 : 6605 427 103 13 3 1 2 \n", + "\n", + "T : 92774 5877 1141 129 38 18 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.6901e-03 sec\n", + "--- Collate = 4.8307e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.187129e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.052882e-01 > 1.000000e-01 [71824]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71824/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=37] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000921657 [ 0.35 %]\n", + "Velocity : 0.00232944 [ 0.88 %]\n", + "Force : 0.0466128 [ 17.68 %]\n", + "Coefs : 0.0229337 [ 8.70 %]\n", + "Output : 0.0330347 [ 12.53 %]\n", + "Levels : 0.00027027 [ 0.10 %]\n", + "Report : 1.432e-06 [ 0.00 %]\n", + "Balance : 1.076e-06 [ 0.00 %]\n", + "Adjust : 0.157454 [ 59.71 %]\n", + "Total : 0.263719 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6606 431 89 10 2 1 3 \n", + "1 : 6576 479 73 9 2 2 1 \n", + "2 : 6650 408 74 7 2 0 1 \n", + "3 : 6623 418 87 10 2 1 1 \n", + "4 : 6605 423 98 11 2 2 1 \n", + "5 : 6614 425 84 10 2 2 5 \n", + "6 : 6640 414 71 10 3 1 3 \n", + "7 : 6625 426 79 7 4 0 1 \n", + "8 : 6624 425 80 9 2 1 1 \n", + "9 : 6639 419 70 7 3 0 4 \n", + "10 : 6669 382 77 10 2 2 0 \n", + "11 : 6662 389 76 11 3 1 0 \n", + "12 : 6627 417 83 9 4 1 1 \n", + "13 : 6607 427 103 11 3 2 1 \n", + "\n", + "T : 92767 5883 1144 131 36 16 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.4129e-03 sec\n", + "--- Collate = 5.8425e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.934502e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.052842e-01 > 1.000000e-01 [71836]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71836/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=37.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000943392 [ 0.40 %]\n", + "Velocity : 0.00246709 [ 1.05 %]\n", + "Force : 0.0462166 [ 19.65 %]\n", + "Coefs : 0.0219237 [ 9.32 %]\n", + "Output : 0.00449953 [ 1.91 %]\n", + "Levels : 0.000246832 [ 0.10 %]\n", + "Report : 6.76e-07 [ 0.00 %]\n", + "Balance : 3.55e-07 [ 0.00 %]\n", + "Adjust : 0.158763 [ 67.49 %]\n", + "Total : 0.235229 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6603 435 87 12 1 1 3 \n", + "1 : 6575 478 72 12 2 3 0 \n", + "2 : 6650 406 77 7 1 0 1 \n", + "3 : 6622 419 89 9 1 1 1 \n", + "4 : 6603 427 98 9 2 2 1 \n", + "5 : 6620 420 83 11 1 2 5 \n", + "6 : 6638 415 72 9 5 1 2 \n", + "7 : 6624 427 79 7 2 2 1 \n", + "8 : 6625 421 85 7 3 1 0 \n", + "9 : 6634 423 71 6 3 2 3 \n", + "10 : 6667 381 80 10 2 1 1 \n", + "11 : 6664 386 78 11 2 0 1 \n", + "12 : 6626 419 81 10 3 2 1 \n", + "13 : 6606 431 99 10 6 1 1 \n", + "\n", + "T : 92757 5888 1151 130 34 19 21 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.2520e-03 sec\n", + "--- Collate = 5.3885e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.715399e-04 < 1.562500e-03 [8]\n", + "--- Max DT=3.052798e-01 > 1.000000e-01 [71833]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71833/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=37.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000937542 [ 0.39 %]\n", + "Velocity : 0.00232336 [ 0.98 %]\n", + "Force : 0.0464973 [ 19.57 %]\n", + "Coefs : 0.0222625 [ 9.37 %]\n", + "Output : 0.00458758 [ 1.93 %]\n", + "Levels : 0.00028103 [ 0.12 %]\n", + "Report : 7.38e-07 [ 0.00 %]\n", + "Balance : 3.68e-07 [ 0.00 %]\n", + "Adjust : 0.160531 [ 67.57 %]\n", + "Total : 0.237587 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6601 437 87 13 0 1 3 \n", + "1 : 6572 478 76 11 2 1 2 \n", + "2 : 6648 409 74 9 1 1 0 \n", + "3 : 6619 422 89 9 1 1 1 \n", + "4 : 6602 427 99 9 4 0 1 \n", + "5 : 6624 418 80 11 4 3 2 \n", + "6 : 6642 412 71 11 3 3 0 \n", + "7 : 6624 424 82 7 2 2 1 \n", + "8 : 6625 418 87 9 3 0 0 \n", + "9 : 6635 423 70 6 2 5 1 \n", + "10 : 6664 384 80 11 1 1 1 \n", + "11 : 6663 386 79 13 0 0 1 \n", + "12 : 6626 420 80 9 4 1 2 \n", + "13 : 6604 434 101 9 4 1 1 \n", + "\n", + "T : 92749 5892 1155 137 31 20 16 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.0046e-03 sec\n", + "--- Collate = 5.7638e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.799568e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.052751e-01 > 1.000000e-01 [71866]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71866/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=37.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000929643 [ 0.40 %]\n", + "Velocity : 0.00213551 [ 0.91 %]\n", + "Force : 0.0470009 [ 19.99 %]\n", + "Coefs : 0.0217239 [ 9.24 %]\n", + "Output : 0.00458545 [ 1.95 %]\n", + "Levels : 0.000267197 [ 0.11 %]\n", + "Report : 7.5e-07 [ 0.00 %]\n", + "Balance : 3.86e-07 [ 0.00 %]\n", + "Adjust : 0.158329 [ 67.34 %]\n", + "Total : 0.235136 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6598 443 85 10 3 1 2 \n", + "1 : 6570 478 80 8 3 0 3 \n", + "2 : 6648 410 74 8 1 1 0 \n", + "3 : 6621 420 90 7 1 2 1 \n", + "4 : 6595 434 98 12 2 0 1 \n", + "5 : 6626 416 83 9 5 1 2 \n", + "6 : 6638 415 73 11 2 3 0 \n", + "7 : 6620 430 79 9 1 1 2 \n", + "8 : 6629 412 89 9 3 0 0 \n", + "9 : 6636 422 70 6 2 4 2 \n", + "10 : 6660 384 84 11 1 0 2 \n", + "11 : 6663 386 79 13 0 0 1 \n", + "12 : 6629 418 80 9 3 1 2 \n", + "13 : 6605 433 102 9 2 2 1 \n", + "\n", + "T : 92738 5901 1166 131 29 16 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.1148e-03 sec\n", + "--- Collate = 5.5845e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.323409e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.052698e-01 > 1.000000e-01 [71869]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71869/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=37.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000931629 [ 0.39 %]\n", + "Velocity : 0.00237781 [ 1.00 %]\n", + "Force : 0.0468705 [ 19.61 %]\n", + "Coefs : 0.0217161 [ 9.09 %]\n", + "Output : 0.00457692 [ 1.92 %]\n", + "Levels : 0.000250417 [ 0.10 %]\n", + "Report : 6.16e-07 [ 0.00 %]\n", + "Balance : 3.34e-07 [ 0.00 %]\n", + "Adjust : 0.162081 [ 67.83 %]\n", + "Total : 0.23897 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6595 444 88 10 2 3 0 \n", + "1 : 6569 480 79 7 4 0 3 \n", + "2 : 6649 409 73 7 4 0 0 \n", + "3 : 6623 417 91 6 3 0 2 \n", + "4 : 6596 431 102 10 1 1 1 \n", + "5 : 6626 416 85 7 6 2 0 \n", + "6 : 6636 418 71 11 4 1 1 \n", + "7 : 6620 430 81 7 2 0 2 \n", + "8 : 6628 413 89 9 2 1 0 \n", + "9 : 6633 424 72 4 5 1 3 \n", + "10 : 6659 385 85 10 1 1 1 \n", + "11 : 6660 388 83 8 2 0 1 \n", + "12 : 6628 416 83 8 5 0 2 \n", + "13 : 6602 436 104 7 3 0 2 \n", + "\n", + "T : 92724 5907 1186 111 44 10 18 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.9693e-03 sec\n", + "--- Collate = 5.5402e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.473308e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.052641e-01 > 1.000000e-01 [71880]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71880/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=37.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00100395 [ 0.41 %]\n", + "Velocity : 0.00241883 [ 0.98 %]\n", + "Force : 0.0483044 [ 19.61 %]\n", + "Coefs : 0.0229243 [ 9.30 %]\n", + "Output : 0.00455853 [ 1.85 %]\n", + "Levels : 0.000248024 [ 0.10 %]\n", + "Report : 6.52e-07 [ 0.00 %]\n", + "Balance : 3.83e-07 [ 0.00 %]\n", + "Adjust : 0.166752 [ 67.68 %]\n", + "Total : 0.246378 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6595 444 87 9 5 2 0 \n", + "1 : 6569 481 79 7 4 1 1 \n", + "2 : 6649 409 74 7 2 1 0 \n", + "3 : 6622 415 94 6 2 2 1 \n", + "4 : 6595 432 104 8 1 1 1 \n", + "5 : 6628 413 85 7 7 2 0 \n", + "6 : 6635 419 72 9 4 2 1 \n", + "7 : 6620 429 82 8 1 1 1 \n", + "8 : 6632 407 93 9 0 0 1 \n", + "9 : 6635 420 75 5 3 1 3 \n", + "10 : 6662 381 87 9 2 0 1 \n", + "11 : 6658 390 84 7 2 0 1 \n", + "12 : 6629 415 83 8 4 2 1 \n", + "13 : 6598 440 103 9 2 0 2 \n", + "\n", + "T : 92727 5895 1202 108 39 15 14 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.9486e-03 sec\n", + "--- Collate = 5.2552e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.315050e-05 < 1.562500e-03 [4]\n", + "--- Max DT=3.052582e-01 > 1.000000e-01 [71877]\n", + "----------------------------------------------------------------------\n", + " Component | low: 4/100000\n", + " Component | high: 71877/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=37.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000926511 [ 0.38 %]\n", + "Velocity : 0.0023589 [ 0.97 %]\n", + "Force : 0.0482157 [ 19.85 %]\n", + "Coefs : 0.0220813 [ 9.09 %]\n", + "Output : 0.00463164 [ 1.91 %]\n", + "Levels : 0.000275968 [ 0.11 %]\n", + "Report : 7.43e-07 [ 0.00 %]\n", + "Balance : 3.82e-07 [ 0.00 %]\n", + "Adjust : 0.164268 [ 67.62 %]\n", + "Total : 0.242947 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6596 441 89 11 3 2 0 \n", + "1 : 6569 478 81 8 3 1 2 \n", + "2 : 6649 409 73 8 1 1 1 \n", + "3 : 6623 416 92 7 1 1 2 \n", + "4 : 6592 435 103 8 3 0 1 \n", + "5 : 6628 411 87 8 3 5 0 \n", + "6 : 6634 422 70 8 4 2 2 \n", + "7 : 6623 427 82 5 4 1 0 \n", + "8 : 6631 408 92 9 1 0 1 \n", + "9 : 6635 420 74 7 2 3 1 \n", + "10 : 6662 381 86 11 1 1 0 \n", + "11 : 6655 393 83 7 2 1 1 \n", + "12 : 6631 412 84 7 5 3 0 \n", + "13 : 6598 440 103 8 3 1 1 \n", + "\n", + "T : 92726 5893 1199 112 36 22 12 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.9954e-03 sec\n", + "--- Collate = 5.2138e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.404148e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.052519e-01 > 1.000000e-01 [71864]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71864/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=37.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000912375 [ 0.38 %]\n", + "Velocity : 0.00191326 [ 0.80 %]\n", + "Force : 0.0465969 [ 19.56 %]\n", + "Coefs : 0.0213815 [ 8.98 %]\n", + "Output : 0.0044638 [ 1.87 %]\n", + "Levels : 0.000248229 [ 0.10 %]\n", + "Report : 6.87e-07 [ 0.00 %]\n", + "Balance : 3.56e-07 [ 0.00 %]\n", + "Adjust : 0.162508 [ 68.22 %]\n", + "Total : 0.238208 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6596 440 91 9 3 2 1 \n", + "1 : 6574 471 83 9 0 3 2 \n", + "2 : 6650 407 74 7 2 0 2 \n", + "3 : 6623 415 93 8 0 2 1 \n", + "4 : 6586 440 104 9 1 1 1 \n", + "5 : 6628 409 89 8 3 1 4 \n", + "6 : 6637 419 70 8 4 1 3 \n", + "7 : 6622 429 82 4 5 0 0 \n", + "8 : 6627 413 91 9 1 0 1 \n", + "9 : 6638 416 75 7 2 3 1 \n", + "10 : 6665 378 85 11 2 1 0 \n", + "11 : 6656 389 85 8 0 4 0 \n", + "12 : 6632 411 85 9 2 1 2 \n", + "13 : 6599 439 101 11 1 3 0 \n", + "\n", + "T : 92733 5876 1208 117 26 22 18 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.9290e-03 sec\n", + "--- Collate = 5.3515e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.221717e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.052453e-01 > 1.000000e-01 [71856]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71856/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=37.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000893986 [ 0.38 %]\n", + "Velocity : 0.00246117 [ 1.05 %]\n", + "Force : 0.0468878 [ 20.04 %]\n", + "Coefs : 0.0216171 [ 9.24 %]\n", + "Output : 0.00452339 [ 1.93 %]\n", + "Levels : 0.000240338 [ 0.10 %]\n", + "Report : 7.69e-07 [ 0.00 %]\n", + "Balance : 3.47e-07 [ 0.00 %]\n", + "Adjust : 0.157189 [ 67.18 %]\n", + "Total : 0.233997 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6598 438 89 9 5 1 2 \n", + "1 : 6576 466 86 9 1 0 4 \n", + "2 : 6646 410 72 9 3 0 2 \n", + "3 : 6627 410 92 9 2 0 2 \n", + "4 : 6594 432 104 9 1 1 1 \n", + "5 : 6629 408 89 7 3 1 5 \n", + "6 : 6636 420 70 8 2 2 4 \n", + "7 : 6622 429 82 3 4 2 0 \n", + "8 : 6627 413 92 8 0 2 0 \n", + "9 : 6639 415 74 9 2 1 2 \n", + "10 : 6664 378 86 11 1 2 0 \n", + "11 : 6658 390 81 9 0 1 3 \n", + "12 : 6633 409 88 6 2 1 3 \n", + "13 : 6598 439 102 11 2 2 0 \n", + "\n", + "T : 92747 5857 1207 117 28 16 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.9675e-03 sec\n", + "--- Collate = 5.1353e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.082483e-05 < 1.562500e-03 [18]\n", + "--- Max DT=3.052388e-01 > 1.000000e-01 [71872]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 71872/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=37.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000936307 [ 0.40 %]\n", + "Velocity : 0.0023666 [ 1.01 %]\n", + "Force : 0.0475001 [ 20.17 %]\n", + "Coefs : 0.0214024 [ 9.09 %]\n", + "Output : 0.00451283 [ 1.92 %]\n", + "Levels : 0.000238529 [ 0.10 %]\n", + "Report : 6.3e-07 [ 0.00 %]\n", + "Balance : 3.9e-07 [ 0.00 %]\n", + "Adjust : 0.158351 [ 67.25 %]\n", + "Total : 0.235469 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6596 439 89 7 7 1 3 \n", + "1 : 6575 469 83 10 1 1 3 \n", + "2 : 6647 410 72 8 3 1 1 \n", + "3 : 6633 404 91 10 1 2 1 \n", + "4 : 6592 433 103 10 2 1 1 \n", + "5 : 6622 415 89 8 2 1 5 \n", + "6 : 6636 419 72 6 2 2 5 \n", + "7 : 6617 435 80 5 2 1 2 \n", + "8 : 6630 410 94 5 2 0 1 \n", + "9 : 6640 413 76 7 4 0 2 \n", + "10 : 6664 378 86 10 2 1 1 \n", + "11 : 6657 392 80 9 1 0 3 \n", + "12 : 6631 412 85 5 3 3 3 \n", + "13 : 6597 440 102 11 3 0 1 \n", + "\n", + "T : 92737 5869 1202 111 35 14 32 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.0334e-03 sec\n", + "--- Collate = 5.2197e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.198238e-05 < 1.562500e-03 [17]\n", + "--- Max DT=3.052320e-01 > 1.000000e-01 [71874]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71874/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=38] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00091752 [ 0.35 %]\n", + "Velocity : 0.00232238 [ 0.88 %]\n", + "Force : 0.0474798 [ 18.03 %]\n", + "Coefs : 0.0214559 [ 8.15 %]\n", + "Output : 0.0325604 [ 12.37 %]\n", + "Levels : 0.000272713 [ 0.10 %]\n", + "Report : 1.758e-06 [ 0.00 %]\n", + "Balance : 9.55e-07 [ 0.00 %]\n", + "Adjust : 0.15813 [ 60.06 %]\n", + "Total : 0.263306 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6594 443 87 8 5 2 3 \n", + "1 : 6576 470 80 12 0 2 2 \n", + "2 : 6644 414 71 8 3 2 0 \n", + "3 : 6633 402 92 11 1 1 2 \n", + "4 : 6593 431 103 12 2 0 1 \n", + "5 : 6623 417 85 7 4 4 2 \n", + "6 : 6632 422 75 4 3 2 4 \n", + "7 : 6621 431 79 6 1 2 2 \n", + "8 : 6627 414 93 5 2 0 1 \n", + "9 : 6642 410 78 7 1 2 2 \n", + "10 : 6666 377 84 10 3 1 1 \n", + "11 : 6655 394 80 7 3 0 3 \n", + "12 : 6628 414 87 4 2 4 3 \n", + "13 : 6592 444 106 8 3 0 1 \n", + "\n", + "T : 92726 5883 1200 109 33 22 27 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.0161e-03 sec\n", + "--- Collate = 6.3600e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.655480e-04 < 1.562500e-03 [8]\n", + "--- Max DT=3.052251e-01 > 1.000000e-01 [71870]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71870/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=38.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000985168 [ 0.39 %]\n", + "Velocity : 0.00244931 [ 0.97 %]\n", + "Force : 0.0512894 [ 20.35 %]\n", + "Coefs : 0.0233995 [ 9.28 %]\n", + "Output : 0.00492542 [ 1.95 %]\n", + "Levels : 0.000283794 [ 0.11 %]\n", + "Report : 6.53e-07 [ 0.00 %]\n", + "Balance : 3.57e-07 [ 0.00 %]\n", + "Adjust : 0.168566 [ 66.87 %]\n", + "Total : 0.252067 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6597 439 89 6 4 5 2 \n", + "1 : 6577 473 77 10 3 2 0 \n", + "2 : 6644 414 71 8 2 2 1 \n", + "3 : 6630 406 89 15 1 0 1 \n", + "4 : 6588 435 104 10 3 1 1 \n", + "5 : 6622 417 87 6 5 4 1 \n", + "6 : 6631 423 75 4 4 1 4 \n", + "7 : 6622 431 78 6 1 1 3 \n", + "8 : 6624 417 92 7 1 0 1 \n", + "9 : 6636 415 78 8 2 2 1 \n", + "10 : 6668 374 85 11 2 1 1 \n", + "11 : 6652 396 81 7 3 3 0 \n", + "12 : 6630 412 86 5 3 3 3 \n", + "13 : 6593 443 104 11 2 0 1 \n", + "\n", + "T : 92714 5895 1196 114 36 25 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.0115e-03 sec\n", + "--- Collate = 6.0220e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.884342e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.052182e-01 > 1.000000e-01 [71878]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71878/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=38.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000927977 [ 0.39 %]\n", + "Velocity : 0.00231943 [ 0.97 %]\n", + "Force : 0.0463302 [ 19.40 %]\n", + "Coefs : 0.0223624 [ 9.36 %]\n", + "Output : 0.00468666 [ 1.96 %]\n", + "Levels : 0.00024477 [ 0.10 %]\n", + "Report : 6.34e-07 [ 0.00 %]\n", + "Balance : 3.93e-07 [ 0.00 %]\n", + "Adjust : 0.161738 [ 67.73 %]\n", + "Total : 0.238793 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6593 444 88 6 5 2 4 \n", + "1 : 6579 472 75 12 3 1 0 \n", + "2 : 6644 414 68 13 2 0 1 \n", + "3 : 6633 404 86 16 1 0 2 \n", + "4 : 6590 434 103 11 2 2 0 \n", + "5 : 6625 415 85 8 5 0 4 \n", + "6 : 6633 419 79 3 2 4 2 \n", + "7 : 6621 432 78 6 1 2 2 \n", + "8 : 6628 410 93 8 1 2 0 \n", + "9 : 6635 414 78 10 2 2 1 \n", + "10 : 6669 371 85 12 3 2 0 \n", + "11 : 6651 399 78 8 5 1 0 \n", + "12 : 6632 411 83 7 4 2 3 \n", + "13 : 6592 445 102 13 1 1 0 \n", + "\n", + "T : 92725 5884 1181 133 37 21 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.0667e-03 sec\n", + "--- Collate = 5.8036e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.485439e-06 < 1.562500e-03 [10]\n", + "--- Max DT=3.052111e-01 > 1.000000e-01 [71883]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71883/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=38.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000946538 [ 0.40 %]\n", + "Velocity : 0.0023626 [ 1.00 %]\n", + "Force : 0.0474175 [ 19.99 %]\n", + "Coefs : 0.0220831 [ 9.31 %]\n", + "Output : 0.00473326 [ 2.00 %]\n", + "Levels : 0.00028511 [ 0.12 %]\n", + "Report : 5e-07 [ 0.00 %]\n", + "Balance : 2.69e-07 [ 0.00 %]\n", + "Adjust : 0.159241 [ 67.13 %]\n", + "Total : 0.237224 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6592 445 87 7 5 2 4 \n", + "1 : 6577 473 74 14 4 0 0 \n", + "2 : 6644 412 70 13 2 0 1 \n", + "3 : 6630 408 85 17 0 1 1 \n", + "4 : 6590 433 104 9 3 2 1 \n", + "5 : 6624 417 86 8 3 1 3 \n", + "6 : 6632 421 75 8 2 4 0 \n", + "7 : 6622 432 78 5 2 1 2 \n", + "8 : 6628 409 93 8 2 2 0 \n", + "9 : 6636 418 72 11 3 0 2 \n", + "10 : 6669 371 85 9 5 2 1 \n", + "11 : 6650 402 75 10 3 2 0 \n", + "12 : 6629 415 83 6 4 2 3 \n", + "13 : 6591 445 102 14 2 0 0 \n", + "\n", + "T : 92714 5901 1169 139 40 19 18 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.8004e-03 sec\n", + "--- Collate = 5.6867e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.213175e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.052339e-01 > 1.000000e-01 [71893]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71893/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=38.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000929688 [ 0.40 %]\n", + "Velocity : 0.00234607 [ 1.00 %]\n", + "Force : 0.0474948 [ 20.23 %]\n", + "Coefs : 0.0231308 [ 9.85 %]\n", + "Output : 0.00462516 [ 1.97 %]\n", + "Levels : 0.000271391 [ 0.12 %]\n", + "Report : 7.54e-07 [ 0.00 %]\n", + "Balance : 3.73e-07 [ 0.00 %]\n", + "Adjust : 0.155787 [ 66.36 %]\n", + "Total : 0.234748 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6596 439 91 7 2 3 4 \n", + "1 : 6576 476 71 16 2 1 0 \n", + "2 : 6642 415 67 14 3 1 0 \n", + "3 : 6632 403 89 15 1 1 1 \n", + "4 : 6588 433 106 9 3 1 2 \n", + "5 : 6619 424 82 12 1 1 3 \n", + "6 : 6627 427 72 10 4 1 1 \n", + "7 : 6624 429 79 5 3 1 1 \n", + "8 : 6630 407 93 8 3 0 1 \n", + "9 : 6637 414 74 13 2 1 1 \n", + "10 : 6665 373 86 8 7 2 1 \n", + "11 : 6646 405 75 11 3 1 1 \n", + "12 : 6628 414 86 6 2 3 3 \n", + "13 : 6590 449 99 14 2 0 0 \n", + "\n", + "T : 92700 5908 1170 148 38 17 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.7680e-03 sec\n", + "--- Collate = 5.8298e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.236169e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.053077e-01 > 1.000000e-01 [71888]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71888/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=38.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000830534 [ 0.34 %]\n", + "Velocity : 0.00231613 [ 0.95 %]\n", + "Force : 0.0486447 [ 20.05 %]\n", + "Coefs : 0.0223929 [ 9.23 %]\n", + "Output : 0.00473707 [ 1.95 %]\n", + "Levels : 0.00030811 [ 0.13 %]\n", + "Report : 7.25e-07 [ 0.00 %]\n", + "Balance : 3.37e-07 [ 0.00 %]\n", + "Adjust : 0.163197 [ 67.27 %]\n", + "Total : 0.242589 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6594 442 92 6 1 5 2 \n", + "1 : 6577 475 71 15 2 1 1 \n", + "2 : 6640 416 68 15 2 1 0 \n", + "3 : 6633 402 89 15 2 1 0 \n", + "4 : 6584 437 107 9 1 1 3 \n", + "5 : 6620 421 82 12 3 4 0 \n", + "6 : 6627 427 71 10 4 1 2 \n", + "7 : 6624 427 81 6 3 1 0 \n", + "8 : 6630 405 94 9 2 1 1 \n", + "9 : 6634 415 76 13 3 0 1 \n", + "10 : 6665 372 85 10 4 4 2 \n", + "11 : 6643 409 74 12 2 0 2 \n", + "12 : 6629 413 86 7 3 2 2 \n", + "13 : 6581 457 102 12 2 0 0 \n", + "\n", + "T : 92681 5918 1178 151 34 22 16 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.8938e-03 sec\n", + "--- Collate = 5.4122e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.100149e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.053790e-01 > 1.000000e-01 [71907]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71907/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=38.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000942515 [ 0.40 %]\n", + "Velocity : 0.00232496 [ 0.98 %]\n", + "Force : 0.0476396 [ 20.06 %]\n", + "Coefs : 0.0218382 [ 9.19 %]\n", + "Output : 0.00462055 [ 1.95 %]\n", + "Levels : 0.000294902 [ 0.12 %]\n", + "Report : 6.25e-07 [ 0.00 %]\n", + "Balance : 3.56e-07 [ 0.00 %]\n", + "Adjust : 0.159698 [ 67.24 %]\n", + "Total : 0.237515 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6594 439 95 6 3 4 1 \n", + "1 : 6581 470 75 11 2 1 2 \n", + "2 : 6641 414 73 9 4 1 0 \n", + "3 : 6631 407 87 12 3 2 0 \n", + "4 : 6586 435 107 8 2 1 3 \n", + "5 : 6617 425 81 9 7 2 1 \n", + "6 : 6625 429 73 10 3 0 2 \n", + "7 : 6624 425 82 7 3 1 0 \n", + "8 : 6633 403 93 9 1 1 2 \n", + "9 : 6632 419 74 13 3 1 0 \n", + "10 : 6666 369 89 8 5 2 3 \n", + "11 : 6643 409 75 11 1 1 2 \n", + "12 : 6629 412 86 5 5 3 2 \n", + "13 : 6582 457 105 9 1 0 0 \n", + "\n", + "T : 92684 5913 1195 127 43 20 18 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.8275e-03 sec\n", + "--- Collate = 5.8788e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.031556e-04 < 1.562500e-03 [11]\n", + "--- Max DT=3.054477e-01 > 1.000000e-01 [71908]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71908/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=38.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000940973 [ 0.40 %]\n", + "Velocity : 0.00234801 [ 0.99 %]\n", + "Force : 0.0483448 [ 20.47 %]\n", + "Coefs : 0.0222018 [ 9.40 %]\n", + "Output : 0.00455867 [ 1.93 %]\n", + "Levels : 0.00029866 [ 0.13 %]\n", + "Report : 6.12e-07 [ 0.00 %]\n", + "Balance : 3.44e-07 [ 0.00 %]\n", + "Adjust : 0.157302 [ 66.61 %]\n", + "Total : 0.236154 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6592 440 95 9 4 0 2 \n", + "1 : 6582 468 75 9 4 1 3 \n", + "2 : 6642 412 74 9 4 1 0 \n", + "3 : 6627 411 88 11 4 1 0 \n", + "4 : 6582 444 101 9 3 0 3 \n", + "5 : 6620 422 81 10 6 2 1 \n", + "6 : 6622 430 75 10 3 1 1 \n", + "7 : 6625 423 84 6 4 0 0 \n", + "8 : 6630 406 91 10 1 3 1 \n", + "9 : 6633 418 73 14 3 1 0 \n", + "10 : 6672 364 87 11 1 3 4 \n", + "11 : 6645 409 76 7 1 2 2 \n", + "12 : 6628 413 85 8 4 1 3 \n", + "13 : 6583 457 105 7 1 1 0 \n", + "\n", + "T : 92683 5917 1190 130 43 17 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.9639e-03 sec\n", + "--- Collate = 5.6139e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.266987e-06 < 1.562500e-03 [11]\n", + "--- Max DT=3.055139e-01 > 1.000000e-01 [71919]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71919/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=38.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000914882 [ 0.39 %]\n", + "Velocity : 0.00229487 [ 0.98 %]\n", + "Force : 0.0464838 [ 19.94 %]\n", + "Coefs : 0.0219844 [ 9.43 %]\n", + "Output : 0.00443021 [ 1.90 %]\n", + "Levels : 0.000231926 [ 0.10 %]\n", + "Report : 6.19e-07 [ 0.00 %]\n", + "Balance : 3.68e-07 [ 0.00 %]\n", + "Adjust : 0.156624 [ 67.18 %]\n", + "Total : 0.233148 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6594 437 97 6 5 2 1 \n", + "1 : 6584 464 77 8 3 2 4 \n", + "2 : 6642 416 71 7 4 2 0 \n", + "3 : 6629 411 87 10 3 1 1 \n", + "4 : 6579 448 100 10 1 3 1 \n", + "5 : 6616 428 81 10 3 1 3 \n", + "6 : 6622 430 75 8 5 1 1 \n", + "7 : 6625 423 85 5 2 2 0 \n", + "8 : 6632 403 93 8 3 0 3 \n", + "9 : 6634 415 75 13 3 2 0 \n", + "10 : 6674 361 90 8 3 1 5 \n", + "11 : 6644 411 73 8 3 1 2 \n", + "12 : 6628 412 86 7 6 1 2 \n", + "13 : 6588 452 104 8 1 1 0 \n", + "\n", + "T : 92691 5911 1194 116 45 20 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.1840e-03 sec\n", + "--- Collate = 5.7339e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.076414e-06 < 1.562500e-03 [12]\n", + "--- Max DT=3.055774e-01 > 1.000000e-01 [71920]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71920/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=38.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000935934 [ 0.39 %]\n", + "Velocity : 0.00237925 [ 0.99 %]\n", + "Force : 0.0463245 [ 19.31 %]\n", + "Coefs : 0.02246 [ 9.36 %]\n", + "Output : 0.00463491 [ 1.93 %]\n", + "Levels : 0.000235377 [ 0.10 %]\n", + "Report : 4e-07 [ 0.00 %]\n", + "Balance : 4.17e-07 [ 0.00 %]\n", + "Adjust : 0.162808 [ 67.85 %]\n", + "Total : 0.239936 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6593 440 95 8 2 2 2 \n", + "1 : 6586 461 77 9 2 4 3 \n", + "2 : 6646 410 72 9 3 1 1 \n", + "3 : 6629 414 86 8 2 2 1 \n", + "4 : 6581 446 101 9 3 1 1 \n", + "5 : 6614 432 79 11 2 2 2 \n", + "6 : 6621 430 75 7 6 2 1 \n", + "7 : 6623 426 84 6 1 2 0 \n", + "8 : 6631 402 94 8 2 3 2 \n", + "9 : 6638 411 78 7 6 1 1 \n", + "10 : 6672 364 88 9 3 1 5 \n", + "11 : 6645 410 75 6 3 1 2 \n", + "12 : 6629 411 86 7 4 3 2 \n", + "13 : 6587 453 104 8 0 1 1 \n", + "\n", + "T : 92695 5910 1194 112 39 26 24 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.9794e-03 sec\n", + "--- Collate = 5.0459e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.266863e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.056384e-01 > 1.000000e-01 [71907]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71907/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=39] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00097851 [ 0.35 %]\n", + "Velocity : 0.00242686 [ 0.86 %]\n", + "Force : 0.0483994 [ 17.13 %]\n", + "Coefs : 0.0244037 [ 8.64 %]\n", + "Output : 0.0365171 [ 12.93 %]\n", + "Levels : 0.000305668 [ 0.11 %]\n", + "Report : 1.454e-06 [ 0.00 %]\n", + "Balance : 1.041e-06 [ 0.00 %]\n", + "Adjust : 0.169304 [ 59.93 %]\n", + "Total : 0.282499 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6590 443 96 6 3 2 2 \n", + "1 : 6590 455 81 7 1 5 3 \n", + "2 : 6648 410 72 7 3 0 2 \n", + "3 : 6632 411 87 7 2 1 2 \n", + "4 : 6582 446 99 9 4 1 1 \n", + "5 : 6610 436 81 10 2 0 3 \n", + "6 : 6624 426 78 6 2 3 3 \n", + "7 : 6623 424 86 6 1 0 2 \n", + "8 : 6630 405 93 8 1 3 2 \n", + "9 : 6636 412 80 8 3 1 2 \n", + "10 : 6670 364 88 11 4 2 3 \n", + "11 : 6646 410 74 5 3 2 2 \n", + "12 : 6629 409 89 7 3 4 1 \n", + "13 : 6585 456 102 7 2 1 1 \n", + "\n", + "T : 92695 5907 1206 104 34 25 29 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.0533e-03 sec\n", + "--- Collate = 6.2185e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.349626e-06 < 1.562500e-03 [16]\n", + "--- Max DT=3.056967e-01 > 1.000000e-01 [71923]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71923/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=39.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000910468 [ 0.37 %]\n", + "Velocity : 0.00263971 [ 1.09 %]\n", + "Force : 0.0472067 [ 19.43 %]\n", + "Coefs : 0.0231898 [ 9.54 %]\n", + "Output : 0.00476288 [ 1.96 %]\n", + "Levels : 0.000259507 [ 0.11 %]\n", + "Report : 5.91e-07 [ 0.00 %]\n", + "Balance : 3.58e-07 [ 0.00 %]\n", + "Adjust : 0.163862 [ 67.43 %]\n", + "Total : 0.243012 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6588 445 95 6 4 2 2 \n", + "1 : 6591 456 78 7 3 3 4 \n", + "2 : 6648 411 71 7 2 1 2 \n", + "3 : 6629 414 85 7 4 2 1 \n", + "4 : 6580 447 98 11 5 0 1 \n", + "5 : 6611 436 80 11 1 2 1 \n", + "6 : 6622 427 79 5 2 5 2 \n", + "7 : 6624 424 86 5 1 0 2 \n", + "8 : 6627 411 89 9 2 2 2 \n", + "9 : 6629 420 80 6 3 1 3 \n", + "10 : 6665 369 89 10 6 2 1 \n", + "11 : 6646 410 74 5 1 4 2 \n", + "12 : 6629 409 90 7 1 4 2 \n", + "13 : 6586 457 98 11 0 0 2 \n", + "\n", + "T : 92675 5936 1192 107 35 28 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.2547e-03 sec\n", + "--- Collate = 5.9068e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.870874e-06 < 1.562500e-03 [17]\n", + "--- Max DT=3.057520e-01 > 1.000000e-01 [71926]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71926/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=39.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000618836 [ 0.26 %]\n", + "Velocity : 0.00284726 [ 1.22 %]\n", + "Force : 0.0480863 [ 20.55 %]\n", + "Coefs : 0.0213249 [ 9.12 %]\n", + "Output : 0.0044505 [ 1.90 %]\n", + "Levels : 0.000275387 [ 0.12 %]\n", + "Report : 7.1e-07 [ 0.00 %]\n", + "Balance : 3.76e-07 [ 0.00 %]\n", + "Adjust : 0.156159 [ 66.75 %]\n", + "Total : 0.233946 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6590 443 95 7 2 3 2 \n", + "1 : 6593 454 79 5 4 3 4 \n", + "2 : 6651 409 69 8 1 3 1 \n", + "3 : 6628 415 85 7 5 1 1 \n", + "4 : 6586 440 98 8 8 1 1 \n", + "5 : 6608 438 81 11 0 3 1 \n", + "6 : 6623 427 77 7 1 2 5 \n", + "7 : 6621 425 88 5 0 1 2 \n", + "8 : 6625 414 87 10 3 1 2 \n", + "9 : 6627 423 80 5 2 2 3 \n", + "10 : 6664 369 91 11 2 3 2 \n", + "11 : 6643 413 74 6 2 1 3 \n", + "12 : 6625 416 87 8 2 1 3 \n", + "13 : 6585 457 98 12 0 1 1 \n", + "\n", + "T : 92669 5943 1189 110 32 26 31 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.1087e-03 sec\n", + "--- Collate = 5.3826e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.909328e-06 < 1.562500e-03 [13]\n", + "--- Max DT=3.058044e-01 > 1.000000e-01 [71936]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71936/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=39.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00093017 [ 0.40 %]\n", + "Velocity : 0.00236741 [ 1.01 %]\n", + "Force : 0.0472254 [ 20.07 %]\n", + "Coefs : 0.0217903 [ 9.26 %]\n", + "Output : 0.00451539 [ 1.92 %]\n", + "Levels : 0.000238128 [ 0.10 %]\n", + "Report : 6.92e-07 [ 0.00 %]\n", + "Balance : 3.69e-07 [ 0.00 %]\n", + "Adjust : 0.158039 [ 67.18 %]\n", + "Total : 0.235263 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6585 447 95 7 3 3 2 \n", + "1 : 6593 457 75 5 6 2 4 \n", + "2 : 6647 416 65 9 2 2 1 \n", + "3 : 6626 418 85 5 4 4 0 \n", + "4 : 6586 440 99 7 6 3 1 \n", + "5 : 6610 434 82 12 2 1 1 \n", + "6 : 6621 427 80 6 1 3 4 \n", + "7 : 6621 423 90 5 0 2 1 \n", + "8 : 6623 416 85 13 3 0 2 \n", + "9 : 6626 427 77 5 1 2 4 \n", + "10 : 6665 368 92 9 4 3 1 \n", + "11 : 6642 414 73 7 2 1 3 \n", + "12 : 6626 413 89 7 3 1 3 \n", + "13 : 6586 456 98 11 2 0 1 \n", + "\n", + "T : 92657 5956 1185 108 39 27 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.8995e-03 sec\n", + "--- Collate = 5.5099e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.132591e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.058536e-01 > 1.000000e-01 [71949]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71949/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=39.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000944037 [ 0.41 %]\n", + "Velocity : 0.00230963 [ 0.99 %]\n", + "Force : 0.0468681 [ 20.13 %]\n", + "Coefs : 0.021428 [ 9.21 %]\n", + "Output : 0.00436341 [ 1.87 %]\n", + "Levels : 0.000269948 [ 0.12 %]\n", + "Report : 4.56e-07 [ 0.00 %]\n", + "Balance : 3.74e-07 [ 0.00 %]\n", + "Adjust : 0.156429 [ 67.20 %]\n", + "Total : 0.232784 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6587 445 94 8 4 1 3 \n", + "1 : 6593 459 73 7 5 3 2 \n", + "2 : 6645 419 61 12 3 1 1 \n", + "3 : 6619 424 84 9 3 3 0 \n", + "4 : 6586 442 96 8 6 1 3 \n", + "5 : 6604 437 84 13 3 0 1 \n", + "6 : 6620 426 82 6 1 2 5 \n", + "7 : 6620 422 89 8 2 0 1 \n", + "8 : 6621 418 84 13 4 2 0 \n", + "9 : 6628 425 75 6 4 2 2 \n", + "10 : 6665 366 92 11 4 1 3 \n", + "11 : 6643 412 74 10 0 1 2 \n", + "12 : 6621 419 87 10 3 0 2 \n", + "13 : 6583 459 98 11 2 1 0 \n", + "\n", + "T : 92635 5973 1173 132 44 18 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.1192e-03 sec\n", + "--- Collate = 5.3902e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.076522e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.058998e-01 > 1.000000e-01 [71943]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71943/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=39.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000933205 [ 0.40 %]\n", + "Velocity : 0.00230751 [ 0.99 %]\n", + "Force : 0.0471931 [ 20.21 %]\n", + "Coefs : 0.0215973 [ 9.25 %]\n", + "Output : 0.00432704 [ 1.85 %]\n", + "Levels : 0.000239867 [ 0.10 %]\n", + "Report : 6.03e-07 [ 0.00 %]\n", + "Balance : 4.73e-07 [ 0.00 %]\n", + "Adjust : 0.156746 [ 67.13 %]\n", + "Total : 0.233503 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6587 445 94 7 4 3 2 \n", + "1 : 6593 460 72 9 5 1 2 \n", + "2 : 6646 417 63 11 4 0 1 \n", + "3 : 6621 424 80 11 2 4 0 \n", + "4 : 6589 440 93 9 7 1 3 \n", + "5 : 6603 438 83 17 0 0 1 \n", + "6 : 6619 428 80 7 4 2 2 \n", + "7 : 6622 422 85 10 1 1 1 \n", + "8 : 6621 419 83 15 4 0 0 \n", + "9 : 6628 426 74 7 3 2 2 \n", + "10 : 6662 370 91 9 6 1 3 \n", + "11 : 6641 415 73 9 2 1 1 \n", + "12 : 6619 422 87 11 1 1 1 \n", + "13 : 6578 461 100 12 2 1 0 \n", + "\n", + "T : 92629 5987 1158 144 45 18 19 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.0065e-03 sec\n", + "--- Collate = 5.7239e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.497133e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.059431e-01 > 1.000000e-01 [71947]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71947/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=39.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000951497 [ 0.41 %]\n", + "Velocity : 0.00237037 [ 1.02 %]\n", + "Force : 0.0464981 [ 19.94 %]\n", + "Coefs : 0.0216511 [ 9.29 %]\n", + "Output : 0.00437239 [ 1.88 %]\n", + "Levels : 0.000234557 [ 0.10 %]\n", + "Report : 6.03e-07 [ 0.00 %]\n", + "Balance : 3.69e-07 [ 0.00 %]\n", + "Adjust : 0.156912 [ 67.30 %]\n", + "Total : 0.233147 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6593 437 95 8 3 4 2 \n", + "1 : 6590 462 73 9 4 2 2 \n", + "2 : 6650 414 62 9 6 1 0 \n", + "3 : 6621 424 78 13 2 3 1 \n", + "4 : 6591 436 95 9 6 2 3 \n", + "5 : 6602 435 86 17 0 2 0 \n", + "6 : 6616 431 82 6 4 2 1 \n", + "7 : 6624 420 86 9 0 2 1 \n", + "8 : 6627 415 81 15 4 0 0 \n", + "9 : 6625 430 72 9 4 1 1 \n", + "10 : 6659 373 92 7 6 2 3 \n", + "11 : 6643 413 69 12 1 4 0 \n", + "12 : 6623 419 86 9 4 1 0 \n", + "13 : 6580 459 101 12 2 0 0 \n", + "\n", + "T : 92644 5968 1158 144 46 26 14 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.9209e-03 sec\n", + "--- Collate = 5.4899e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.284343e-04 < 1.562500e-03 [10]\n", + "--- Max DT=3.059838e-01 > 1.000000e-01 [71941]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71941/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=39.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000945094 [ 0.41 %]\n", + "Velocity : 0.00229991 [ 0.99 %]\n", + "Force : 0.0464451 [ 19.94 %]\n", + "Coefs : 0.0224494 [ 9.64 %]\n", + "Output : 0.00436495 [ 1.87 %]\n", + "Levels : 0.000227874 [ 0.10 %]\n", + "Report : 6.91e-07 [ 0.00 %]\n", + "Balance : 4.78e-07 [ 0.00 %]\n", + "Adjust : 0.156073 [ 66.99 %]\n", + "Total : 0.232979 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6595 437 94 7 4 3 2 \n", + "1 : 6585 467 73 11 1 3 2 \n", + "2 : 6650 417 58 10 5 2 0 \n", + "3 : 6620 426 76 13 3 2 2 \n", + "4 : 6593 436 93 10 6 3 1 \n", + "5 : 6602 436 84 18 0 1 1 \n", + "6 : 6616 431 82 8 2 1 2 \n", + "7 : 6621 423 86 8 1 1 2 \n", + "8 : 6629 414 81 11 6 1 0 \n", + "9 : 6625 431 71 9 4 1 1 \n", + "10 : 6658 375 90 8 4 5 2 \n", + "11 : 6641 414 71 10 4 1 1 \n", + "12 : 6623 421 85 7 5 1 0 \n", + "13 : 6579 460 102 9 3 1 0 \n", + "\n", + "T : 92637 5988 1146 139 48 26 16 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.0192e-03 sec\n", + "--- Collate = 5.6095e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.786523e-04 < 1.562500e-03 [13]\n", + "--- Max DT=3.060218e-01 > 1.000000e-01 [71960]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71960/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=39.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000941889 [ 0.40 %]\n", + "Velocity : 0.0023426 [ 1.00 %]\n", + "Force : 0.0483643 [ 20.73 %]\n", + "Coefs : 0.0213411 [ 9.15 %]\n", + "Output : 0.00433403 [ 1.86 %]\n", + "Levels : 0.000268429 [ 0.12 %]\n", + "Report : 6.85e-07 [ 0.00 %]\n", + "Balance : 3.93e-07 [ 0.00 %]\n", + "Adjust : 0.155549 [ 66.67 %]\n", + "Total : 0.233295 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6592 439 96 6 6 0 3 \n", + "1 : 6582 470 74 9 3 1 3 \n", + "2 : 6655 411 59 11 2 3 1 \n", + "3 : 6624 419 79 13 4 1 2 \n", + "4 : 6594 438 90 10 6 2 2 \n", + "5 : 6599 437 86 18 1 0 1 \n", + "6 : 6613 433 83 5 5 1 2 \n", + "7 : 6620 423 88 6 2 1 2 \n", + "8 : 6627 416 83 10 3 2 1 \n", + "9 : 6626 429 72 10 2 2 1 \n", + "10 : 6660 372 91 7 4 4 4 \n", + "11 : 6638 417 72 10 3 0 2 \n", + "12 : 6627 417 88 5 1 3 1 \n", + "13 : 6576 463 103 9 2 0 1 \n", + "\n", + "T : 92633 5984 1164 129 44 20 26 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.0757e-03 sec\n", + "--- Collate = 5.4978e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.471898e-06 < 1.562500e-03 [16]\n", + "--- Max DT=3.060575e-01 > 1.000000e-01 [71969]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71969/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=39.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000978721 [ 0.41 %]\n", + "Velocity : 0.00238796 [ 0.99 %]\n", + "Force : 0.047472 [ 19.72 %]\n", + "Coefs : 0.0227295 [ 9.44 %]\n", + "Output : 0.0045758 [ 1.90 %]\n", + "Levels : 0.000235988 [ 0.10 %]\n", + "Report : 6.02e-07 [ 0.00 %]\n", + "Balance : 3.42e-07 [ 0.00 %]\n", + "Adjust : 0.162158 [ 67.37 %]\n", + "Total : 0.240698 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6594 438 97 5 5 1 2 \n", + "1 : 6579 474 73 9 2 3 2 \n", + "2 : 6648 418 57 12 0 5 2 \n", + "3 : 6625 419 76 11 8 2 1 \n", + "4 : 6597 435 89 10 7 2 2 \n", + "5 : 6605 431 87 16 2 0 1 \n", + "6 : 6614 434 81 4 4 2 3 \n", + "7 : 6617 428 86 6 2 1 2 \n", + "8 : 6628 413 82 13 2 1 3 \n", + "9 : 6622 435 71 9 2 1 2 \n", + "10 : 6659 369 96 7 5 1 5 \n", + "11 : 6635 418 72 13 2 0 2 \n", + "12 : 6624 419 88 6 1 0 4 \n", + "13 : 6576 465 101 8 2 1 1 \n", + "\n", + "T : 92623 5996 1156 129 44 20 32 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.9574e-03 sec\n", + "--- Collate = 5.1483e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.440921e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.060905e-01 > 1.000000e-01 [71945]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71945/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=40] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000969569 [ 0.36 %]\n", + "Velocity : 0.00236317 [ 0.88 %]\n", + "Force : 0.046768 [ 17.42 %]\n", + "Coefs : 0.0226472 [ 8.44 %]\n", + "Output : 0.0370722 [ 13.81 %]\n", + "Levels : 0.000242208 [ 0.09 %]\n", + "Report : 1.033e-06 [ 0.00 %]\n", + "Balance : 8.71e-07 [ 0.00 %]\n", + "Adjust : 0.158216 [ 58.94 %]\n", + "Total : 0.268431 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6593 441 96 5 2 4 1 \n", + "1 : 6579 470 77 11 2 1 2 \n", + "2 : 6646 419 58 9 3 2 5 \n", + "3 : 6622 422 76 12 7 3 0 \n", + "4 : 6599 433 89 9 6 4 2 \n", + "5 : 6604 431 90 12 4 1 0 \n", + "6 : 6610 435 82 6 3 3 3 \n", + "7 : 6616 430 85 7 1 2 1 \n", + "8 : 6631 411 84 8 4 0 4 \n", + "9 : 6620 436 71 9 4 0 2 \n", + "10 : 6652 373 99 8 4 2 4 \n", + "11 : 6635 416 73 14 0 3 1 \n", + "12 : 6619 426 86 4 3 0 4 \n", + "13 : 6577 463 102 9 1 0 2 \n", + "\n", + "T : 92603 6006 1168 123 44 25 31 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.8113e-03 sec\n", + "--- Collate = 5.7779e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.350811e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.061211e-01 > 1.000000e-01 [71956]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71956/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=40.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000697046 [ 0.30 %]\n", + "Velocity : 0.00292455 [ 1.24 %]\n", + "Force : 0.0469579 [ 19.97 %]\n", + "Coefs : 0.0219438 [ 9.33 %]\n", + "Output : 0.00455075 [ 1.93 %]\n", + "Levels : 0.000284862 [ 0.12 %]\n", + "Report : 6.08e-07 [ 0.00 %]\n", + "Balance : 3.73e-07 [ 0.00 %]\n", + "Adjust : 0.15766 [ 67.03 %]\n", + "Total : 0.235193 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6592 441 97 7 3 2 0 \n", + "1 : 6576 473 77 9 4 2 1 \n", + "2 : 6646 419 58 8 5 1 5 \n", + "3 : 6617 426 77 11 6 5 0 \n", + "4 : 6600 430 92 8 5 4 3 \n", + "5 : 6601 435 89 12 5 0 0 \n", + "6 : 6609 434 84 5 4 2 4 \n", + "7 : 6617 431 83 7 2 1 1 \n", + "8 : 6630 412 85 6 3 3 3 \n", + "9 : 6621 437 68 9 3 3 1 \n", + "10 : 6649 376 100 9 3 3 2 \n", + "11 : 6635 417 71 14 2 2 1 \n", + "12 : 6616 435 80 4 2 2 3 \n", + "13 : 6578 463 100 9 1 2 1 \n", + "\n", + "T : 92587 6029 1161 118 48 32 25 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.8557e-03 sec\n", + "--- Collate = 5.4669e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.180392e-04 < 1.562500e-03 [11]\n", + "--- Max DT=3.061493e-01 > 1.000000e-01 [71945]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71945/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=40.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000922362 [ 0.39 %]\n", + "Velocity : 0.00231692 [ 0.97 %]\n", + "Force : 0.047012 [ 19.67 %]\n", + "Coefs : 0.0221858 [ 9.28 %]\n", + "Output : 0.00456231 [ 1.91 %]\n", + "Levels : 0.000236815 [ 0.10 %]\n", + "Report : 6.47e-07 [ 0.00 %]\n", + "Balance : 3.86e-07 [ 0.00 %]\n", + "Adjust : 0.161551 [ 67.60 %]\n", + "Total : 0.23897 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6591 441 99 6 3 1 1 \n", + "1 : 6570 480 76 8 3 3 2 \n", + "2 : 6645 420 58 6 7 2 4 \n", + "3 : 6617 426 79 9 5 3 3 \n", + "4 : 6601 428 90 12 5 2 4 \n", + "5 : 6597 441 88 8 8 0 0 \n", + "6 : 6611 433 85 5 2 2 4 \n", + "7 : 6616 433 83 6 2 2 0 \n", + "8 : 6633 409 85 6 3 5 1 \n", + "9 : 6617 439 71 8 2 3 2 \n", + "10 : 6648 378 99 10 4 2 1 \n", + "11 : 6635 418 71 13 3 0 2 \n", + "12 : 6620 431 80 5 2 3 1 \n", + "13 : 6574 466 102 8 2 0 2 \n", + "\n", + "T : 92575 6043 1166 110 51 28 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.7962e-03 sec\n", + "--- Collate = 5.5469e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.090962e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.061749e-01 > 1.000000e-01 [71966]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71966/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=40.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000932145 [ 0.40 %]\n", + "Velocity : 0.00237862 [ 1.01 %]\n", + "Force : 0.0471528 [ 20.02 %]\n", + "Coefs : 0.0215518 [ 9.15 %]\n", + "Output : 0.00453276 [ 1.92 %]\n", + "Levels : 0.000239125 [ 0.10 %]\n", + "Report : 6.46e-07 [ 0.00 %]\n", + "Balance : 3.81e-07 [ 0.00 %]\n", + "Adjust : 0.158554 [ 67.30 %]\n", + "Total : 0.23558 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6588 446 94 10 3 0 1 \n", + "1 : 6569 482 75 9 2 2 3 \n", + "2 : 6643 420 61 6 5 6 1 \n", + "3 : 6618 425 81 7 5 3 3 \n", + "4 : 6599 432 89 13 4 1 4 \n", + "5 : 6598 441 87 9 6 1 0 \n", + "6 : 6607 438 83 7 1 2 4 \n", + "7 : 6613 436 84 6 1 1 1 \n", + "8 : 6632 410 85 5 7 2 1 \n", + "9 : 6615 440 74 6 2 3 2 \n", + "10 : 6648 378 99 10 6 0 1 \n", + "11 : 6636 416 73 10 4 1 2 \n", + "12 : 6615 433 83 5 2 3 1 \n", + "13 : 6571 469 101 9 2 1 1 \n", + "\n", + "T : 92552 6066 1169 112 50 26 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.8152e-03 sec\n", + "--- Collate = 5.5701e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.284244e-04 < 1.562500e-03 [12]\n", + "--- Max DT=3.061980e-01 > 1.000000e-01 [71972]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71972/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=40.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000927338 [ 0.40 %]\n", + "Velocity : 0.00239789 [ 1.03 %]\n", + "Force : 0.047206 [ 20.21 %]\n", + "Coefs : 0.0213054 [ 9.12 %]\n", + "Output : 0.0045311 [ 1.94 %]\n", + "Levels : 0.000254161 [ 0.11 %]\n", + "Report : 6.01e-07 [ 0.00 %]\n", + "Balance : 3.47e-07 [ 0.00 %]\n", + "Adjust : 0.156837 [ 67.13 %]\n", + "Total : 0.233633 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6585 451 92 10 3 0 1 \n", + "1 : 6572 479 74 10 3 1 3 \n", + "2 : 6644 418 63 5 6 5 1 \n", + "3 : 6619 422 87 5 4 2 3 \n", + "4 : 6602 428 92 11 3 3 3 \n", + "5 : 6597 440 88 11 3 2 1 \n", + "6 : 6601 443 84 6 2 4 2 \n", + "7 : 6614 436 84 6 1 0 1 \n", + "8 : 6629 412 86 5 7 2 1 \n", + "9 : 6617 435 77 8 1 1 3 \n", + "10 : 6646 380 99 11 4 2 0 \n", + "11 : 6637 417 71 11 3 1 2 \n", + "12 : 6614 436 79 6 6 0 1 \n", + "13 : 6572 469 101 8 1 2 1 \n", + "\n", + "T : 92549 6066 1177 113 47 25 23 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.8954e-03 sec\n", + "--- Collate = 7.7530e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.038387e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.062188e-01 > 1.000000e-01 [71963]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71963/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=40.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000929228 [ 0.39 %]\n", + "Velocity : 0.0023543 [ 0.99 %]\n", + "Force : 0.0464399 [ 19.59 %]\n", + "Coefs : 0.0219538 [ 9.26 %]\n", + "Output : 0.00451712 [ 1.91 %]\n", + "Levels : 0.000268777 [ 0.11 %]\n", + "Report : 3.75e-07 [ 0.00 %]\n", + "Balance : 3.53e-07 [ 0.00 %]\n", + "Adjust : 0.160419 [ 67.67 %]\n", + "Total : 0.237063 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6591 443 92 12 4 0 0 \n", + "1 : 6574 477 76 9 2 1 3 \n", + "2 : 6642 419 64 4 9 1 3 \n", + "3 : 6620 421 86 6 3 5 1 \n", + "4 : 6601 428 95 8 5 1 4 \n", + "5 : 6592 447 89 10 1 2 1 \n", + "6 : 6598 445 83 7 5 2 2 \n", + "7 : 6615 438 80 7 1 0 1 \n", + "8 : 6628 414 83 10 4 1 2 \n", + "9 : 6617 436 76 8 1 2 2 \n", + "10 : 6644 384 99 9 5 0 1 \n", + "11 : 6634 419 75 6 5 2 1 \n", + "12 : 6610 440 78 9 4 1 0 \n", + "13 : 6567 472 101 10 1 3 0 \n", + "\n", + "T : 92533 6083 1177 115 50 21 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 9.9247e-03 sec\n", + "--- Collate = 8.2982e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.525076e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.062374e-01 > 1.000000e-01 [71953]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71953/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=40.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00127081 [ 0.49 %]\n", + "Velocity : 0.00304262 [ 1.16 %]\n", + "Force : 0.0553179 [ 21.16 %]\n", + "Coefs : 0.0261688 [ 10.01 %]\n", + "Output : 0.00330427 [ 1.26 %]\n", + "Levels : 0.000293823 [ 0.11 %]\n", + "Report : 1.249e-06 [ 0.00 %]\n", + "Balance : 5.32e-07 [ 0.00 %]\n", + "Adjust : 0.171901 [ 65.74 %]\n", + "Total : 0.261474 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6591 440 95 14 2 0 0 \n", + "1 : 6569 484 72 10 2 4 1 \n", + "2 : 6644 416 66 5 6 1 4 \n", + "3 : 6613 429 83 8 5 2 2 \n", + "4 : 6596 432 94 10 4 4 2 \n", + "5 : 6588 453 87 10 0 1 3 \n", + "6 : 6592 454 77 9 8 1 1 \n", + "7 : 6615 440 77 8 1 1 0 \n", + "8 : 6623 421 83 10 1 2 2 \n", + "9 : 6616 441 73 7 2 1 2 \n", + "10 : 6642 384 100 11 3 1 1 \n", + "11 : 6632 421 74 8 3 3 1 \n", + "12 : 6610 438 80 8 4 2 0 \n", + "13 : 6562 476 103 8 3 0 2 \n", + "\n", + "T : 92493 6129 1164 126 44 23 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.4066e-03 sec\n", + "--- Collate = 6.5216e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.647378e-06 < 1.562500e-03 [8]\n", + "--- Max DT=3.062536e-01 > 1.000000e-01 [71951]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71951/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=40.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000575787 [ 0.21 %]\n", + "Velocity : 0.00142667 [ 0.51 %]\n", + "Force : 0.0621145 [ 22.28 %]\n", + "Coefs : 0.0266009 [ 9.54 %]\n", + "Output : 0.00260154 [ 0.93 %]\n", + "Levels : 0.00021927 [ 0.08 %]\n", + "Report : 1.138e-06 [ 0.00 %]\n", + "Balance : 7.06e-07 [ 0.00 %]\n", + "Adjust : 0.185104 [ 66.39 %]\n", + "Total : 0.278829 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6591 439 93 15 3 1 0 \n", + "1 : 6566 483 75 11 4 2 1 \n", + "2 : 6637 422 65 8 5 2 3 \n", + "3 : 6610 432 83 11 3 1 2 \n", + "4 : 6592 438 90 13 6 1 2 \n", + "5 : 6586 455 86 7 5 1 2 \n", + "6 : 6594 455 73 14 4 1 1 \n", + "7 : 6615 440 78 7 2 0 0 \n", + "8 : 6628 418 78 13 2 1 2 \n", + "9 : 6619 437 75 7 2 1 1 \n", + "10 : 6638 388 100 10 3 1 2 \n", + "11 : 6632 420 75 7 4 1 3 \n", + "12 : 6610 438 79 9 4 2 0 \n", + "13 : 6559 478 104 7 3 1 2 \n", + "\n", + "T : 92477 6143 1154 139 50 16 21 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 9.6912e-03 sec\n", + "--- Collate = 8.4132e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.735114e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.062674e-01 > 1.000000e-01 [71934]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71934/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=40.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000631284 [ 0.27 %]\n", + "Velocity : 0.00163877 [ 0.69 %]\n", + "Force : 0.047377 [ 19.99 %]\n", + "Coefs : 0.0225466 [ 9.51 %]\n", + "Output : 0.00303378 [ 1.28 %]\n", + "Levels : 0.000301414 [ 0.13 %]\n", + "Report : 1.055e-06 [ 0.00 %]\n", + "Balance : 6.31e-07 [ 0.00 %]\n", + "Adjust : 0.161347 [ 68.06 %]\n", + "Total : 0.237062 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6585 446 93 13 3 2 0 \n", + "1 : 6565 483 77 8 7 1 1 \n", + "2 : 6637 421 67 8 4 3 2 \n", + "3 : 6606 434 86 11 2 2 1 \n", + "4 : 6589 439 93 13 2 5 1 \n", + "5 : 6588 454 85 7 5 1 2 \n", + "6 : 6595 453 73 15 4 2 0 \n", + "7 : 6611 443 80 7 0 1 0 \n", + "8 : 6628 419 75 14 4 1 1 \n", + "9 : 6614 441 75 7 4 1 0 \n", + "10 : 6638 391 98 9 2 3 1 \n", + "11 : 6633 419 74 7 5 1 3 \n", + "12 : 6609 438 80 10 3 1 1 \n", + "13 : 6561 475 105 6 4 0 3 \n", + "\n", + "T : 92459 6156 1161 135 49 24 16 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.8266e-03 sec\n", + "--- Collate = 5.7287e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.953930e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.062789e-01 > 1.000000e-01 [71937]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71937/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=40.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000673378 [ 0.28 %]\n", + "Velocity : 0.00137834 [ 0.57 %]\n", + "Force : 0.0493102 [ 20.52 %]\n", + "Coefs : 0.0243393 [ 10.13 %]\n", + "Output : 0.00213144 [ 0.89 %]\n", + "Levels : 0.000162951 [ 0.07 %]\n", + "Report : 1.193e-06 [ 0.00 %]\n", + "Balance : 5.51e-07 [ 0.00 %]\n", + "Adjust : 0.162183 [ 67.49 %]\n", + "Total : 0.240317 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6582 450 93 13 2 1 1 \n", + "1 : 6566 481 79 7 6 2 1 \n", + "2 : 6636 422 66 11 3 3 1 \n", + "3 : 6605 433 88 10 3 2 1 \n", + "4 : 6592 436 92 14 3 3 2 \n", + "5 : 6585 457 85 6 6 3 0 \n", + "6 : 6598 449 73 16 3 2 1 \n", + "7 : 6614 442 78 7 0 0 1 \n", + "8 : 6623 422 77 12 6 2 0 \n", + "9 : 6607 447 76 8 4 0 0 \n", + "10 : 6637 392 99 6 3 3 2 \n", + "11 : 6635 414 74 11 3 1 4 \n", + "12 : 6604 443 80 10 3 1 1 \n", + "13 : 6562 471 108 6 5 1 1 \n", + "\n", + "T : 92446 6159 1168 137 50 24 16 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 9.8465e-03 sec\n", + "--- Collate = 7.7891e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.158635e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.062879e-01 > 1.000000e-01 [71932]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71932/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=41] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00047024 [ 0.16 %]\n", + "Velocity : 0.00141741 [ 0.48 %]\n", + "Force : 0.0513666 [ 17.46 %]\n", + "Coefs : 0.0253155 [ 8.60 %]\n", + "Output : 0.0300881 [ 10.23 %]\n", + "Levels : 0.000264375 [ 0.09 %]\n", + "Report : 1.593e-06 [ 0.00 %]\n", + "Balance : 8.12e-07 [ 0.00 %]\n", + "Adjust : 0.18511 [ 62.91 %]\n", + "Total : 0.294229 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6583 448 94 13 2 0 2 \n", + "1 : 6568 478 80 10 2 2 2 \n", + "2 : 6634 424 66 11 4 2 1 \n", + "3 : 6606 434 86 11 3 1 1 \n", + "4 : 6590 438 88 17 4 2 3 \n", + "5 : 6585 456 84 9 4 3 1 \n", + "6 : 6597 451 72 18 1 1 2 \n", + "7 : 6611 442 81 7 0 0 1 \n", + "8 : 6615 431 78 10 6 1 1 \n", + "9 : 6604 451 75 7 4 1 0 \n", + "10 : 6636 393 100 5 1 6 1 \n", + "11 : 6633 417 74 10 3 4 1 \n", + "12 : 6603 446 80 9 1 2 1 \n", + "13 : 6563 465 112 8 2 3 1 \n", + "\n", + "T : 92428 6174 1170 145 37 28 18 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.5976e-03 sec\n", + "--- Collate = 6.0488e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.010756e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.062942e-01 > 1.000000e-01 [71923]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71923/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=41.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000746789 [ 0.30 %]\n", + "Velocity : 0.00169103 [ 0.69 %]\n", + "Force : 0.0504029 [ 20.52 %]\n", + "Coefs : 0.0240818 [ 9.80 %]\n", + "Output : 0.00270424 [ 1.10 %]\n", + "Levels : 0.000197408 [ 0.08 %]\n", + "Report : 1.067e-06 [ 0.00 %]\n", + "Balance : 4.83e-07 [ 0.00 %]\n", + "Adjust : 0.165622 [ 67.43 %]\n", + "Total : 0.245608 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6588 446 91 12 2 1 2 \n", + "1 : 6571 474 80 12 1 2 2 \n", + "2 : 6635 421 70 10 3 1 2 \n", + "3 : 6607 434 84 10 3 3 1 \n", + "4 : 6587 443 87 14 6 1 4 \n", + "5 : 6585 454 86 8 5 2 2 \n", + "6 : 6592 457 74 12 4 0 3 \n", + "7 : 6606 446 83 5 1 0 1 \n", + "8 : 6619 426 79 10 6 1 1 \n", + "9 : 6604 452 75 7 1 3 0 \n", + "10 : 6639 392 98 5 3 2 3 \n", + "11 : 6631 417 74 13 4 2 1 \n", + "12 : 6602 446 82 7 2 2 1 \n", + "13 : 6561 468 110 9 3 1 2 \n", + "\n", + "T : 92427 6176 1173 134 44 21 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.4689e-03 sec\n", + "--- Collate = 5.4050e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.005404e-05 < 1.562500e-03 [18]\n", + "--- Max DT=3.062979e-01 > 1.000000e-01 [71950]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 71950/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=41.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000548441 [ 0.23 %]\n", + "Velocity : 0.00125316 [ 0.53 %]\n", + "Force : 0.0502581 [ 21.19 %]\n", + "Coefs : 0.0225828 [ 9.52 %]\n", + "Output : 0.00284148 [ 1.20 %]\n", + "Levels : 0.000237442 [ 0.10 %]\n", + "Report : 9.74e-07 [ 0.00 %]\n", + "Balance : 4.69e-07 [ 0.00 %]\n", + "Adjust : 0.159335 [ 67.17 %]\n", + "Total : 0.237218 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6592 442 91 11 3 2 1 \n", + "1 : 6572 472 81 12 2 1 2 \n", + "2 : 6634 421 71 11 2 1 2 \n", + "3 : 6610 432 84 8 4 2 2 \n", + "4 : 6589 440 88 14 5 3 3 \n", + "5 : 6589 449 88 8 5 0 3 \n", + "6 : 6596 453 76 11 2 2 2 \n", + "7 : 6604 447 83 6 0 2 0 \n", + "8 : 6620 423 82 11 3 2 1 \n", + "9 : 6599 456 76 7 1 0 3 \n", + "10 : 6639 390 99 6 3 2 3 \n", + "11 : 6630 418 73 13 5 3 0 \n", + "12 : 6600 449 82 6 0 3 2 \n", + "13 : 6563 466 110 8 3 2 2 \n", + "\n", + "T : 92437 6158 1184 132 38 25 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.4014e-03 sec\n", + "--- Collate = 5.8560e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.406150e-06 < 1.562500e-03 [17]\n", + "--- Max DT=3.062989e-01 > 1.000000e-01 [71949]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71949/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=41.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000512634 [ 0.22 %]\n", + "Velocity : 0.0011119 [ 0.49 %]\n", + "Force : 0.0470407 [ 20.55 %]\n", + "Coefs : 0.0226902 [ 9.91 %]\n", + "Output : 0.00198507 [ 0.87 %]\n", + "Levels : 0.000178786 [ 0.08 %]\n", + "Report : 9.7e-07 [ 0.00 %]\n", + "Balance : 3.55e-07 [ 0.00 %]\n", + "Adjust : 0.155216 [ 67.82 %]\n", + "Total : 0.228874 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6592 442 91 10 5 2 0 \n", + "1 : 6571 473 82 13 1 0 2 \n", + "2 : 6635 419 73 10 2 0 3 \n", + "3 : 6607 432 86 9 3 2 3 \n", + "4 : 6587 442 87 16 3 4 3 \n", + "5 : 6588 451 85 11 4 1 2 \n", + "6 : 6589 461 75 11 1 3 2 \n", + "7 : 6601 452 80 7 0 1 1 \n", + "8 : 6616 428 81 9 3 4 1 \n", + "9 : 6601 455 76 7 0 0 3 \n", + "10 : 6638 395 95 6 3 2 3 \n", + "11 : 6628 420 72 14 5 3 0 \n", + "12 : 6600 447 84 6 1 1 3 \n", + "13 : 6562 467 109 9 2 2 3 \n", + "\n", + "T : 92415 6184 1176 138 33 25 29 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.1928e-03 sec\n", + "--- Collate = 6.2174e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.302097e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.062971e-01 > 1.000000e-01 [71988]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71988/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=41.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000458081 [ 0.20 %]\n", + "Velocity : 0.00101704 [ 0.44 %]\n", + "Force : 0.0488029 [ 21.30 %]\n", + "Coefs : 0.0224152 [ 9.79 %]\n", + "Output : 0.00210948 [ 0.92 %]\n", + "Levels : 0.000201845 [ 0.09 %]\n", + "Report : 1.049e-06 [ 0.00 %]\n", + "Balance : 4.47e-07 [ 0.00 %]\n", + "Adjust : 0.153931 [ 67.20 %]\n", + "Total : 0.229072 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6588 449 90 10 5 0 0 \n", + "1 : 6570 476 82 11 1 2 0 \n", + "2 : 6633 421 75 8 2 1 2 \n", + "3 : 6612 425 87 10 3 1 4 \n", + "4 : 6585 443 90 13 4 3 4 \n", + "5 : 6589 449 86 11 3 3 1 \n", + "6 : 6589 461 77 9 3 1 2 \n", + "7 : 6600 451 80 9 1 0 1 \n", + "8 : 6623 420 83 7 5 0 4 \n", + "9 : 6594 462 77 6 0 0 3 \n", + "10 : 6639 391 97 9 2 2 2 \n", + "11 : 6632 418 71 14 5 1 1 \n", + "12 : 6596 448 87 6 1 1 3 \n", + "13 : 6561 469 109 8 2 2 3 \n", + "\n", + "T : 92411 6183 1191 131 37 17 30 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.5068e-03 sec\n", + "--- Collate = 6.5678e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.484057e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.062928e-01 > 1.000000e-01 [72005]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 72005/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=41.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000426138 [ 0.19 %]\n", + "Velocity : 0.00125058 [ 0.55 %]\n", + "Force : 0.0460406 [ 20.25 %]\n", + "Coefs : 0.0226407 [ 9.96 %]\n", + "Output : 0.00270988 [ 1.19 %]\n", + "Levels : 0.000251211 [ 0.11 %]\n", + "Report : 1.348e-06 [ 0.00 %]\n", + "Balance : 5.88e-07 [ 0.00 %]\n", + "Adjust : 0.153832 [ 67.68 %]\n", + "Total : 0.227307 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6588 451 89 8 6 0 0 \n", + "1 : 6566 478 83 11 4 0 0 \n", + "2 : 6633 422 74 7 2 2 2 \n", + "3 : 6609 429 86 13 1 2 2 \n", + "4 : 6582 449 87 11 6 2 5 \n", + "5 : 6595 443 85 12 6 1 0 \n", + "6 : 6590 464 73 8 4 1 2 \n", + "7 : 6598 452 81 9 1 0 1 \n", + "8 : 6619 424 82 9 3 1 4 \n", + "9 : 6587 469 77 6 0 3 0 \n", + "10 : 6640 392 96 9 2 3 0 \n", + "11 : 6631 421 68 14 6 1 1 \n", + "12 : 6593 452 86 5 3 2 1 \n", + "13 : 6561 468 111 7 1 3 3 \n", + "\n", + "T : 92392 6214 1178 129 45 21 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.4223e-03 sec\n", + "--- Collate = 5.4563e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.330355e-04 < 1.562500e-03 [5]\n", + "--- Max DT=3.062860e-01 > 1.000000e-01 [71995]\n", + "----------------------------------------------------------------------\n", + " Component | low: 5/100000\n", + " Component | high: 71995/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=41.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000518795 [ 0.23 %]\n", + "Velocity : 0.00119188 [ 0.52 %]\n", + "Force : 0.0465027 [ 20.39 %]\n", + "Coefs : 0.0230172 [ 10.09 %]\n", + "Output : 0.00231559 [ 1.02 %]\n", + "Levels : 0.000209584 [ 0.09 %]\n", + "Report : 1.038e-06 [ 0.00 %]\n", + "Balance : 5.11e-07 [ 0.00 %]\n", + "Adjust : 0.154136 [ 67.59 %]\n", + "Total : 0.228038 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6588 448 89 14 1 2 0 \n", + "1 : 6563 480 85 9 3 2 0 \n", + "2 : 6636 418 75 7 1 4 1 \n", + "3 : 6608 432 86 11 1 2 2 \n", + "4 : 6581 451 87 12 5 2 4 \n", + "5 : 6593 443 89 11 2 3 1 \n", + "6 : 6589 464 76 4 5 1 3 \n", + "7 : 6595 458 80 6 2 1 0 \n", + "8 : 6619 427 82 6 3 1 4 \n", + "9 : 6586 468 79 4 3 2 0 \n", + "10 : 6633 401 93 10 5 0 0 \n", + "11 : 6629 423 69 12 5 2 2 \n", + "12 : 6592 452 87 5 5 0 1 \n", + "13 : 6562 467 110 8 3 3 1 \n", + "\n", + "T : 92374 6232 1187 119 44 25 19 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 9.0777e-03 sec\n", + "--- Collate = 5.5376e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.212447e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.062766e-01 > 1.000000e-01 [71990]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71990/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=41.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000478247 [ 0.19 %]\n", + "Velocity : 0.00121014 [ 0.49 %]\n", + "Force : 0.0490768 [ 19.99 %]\n", + "Coefs : 0.0235381 [ 9.59 %]\n", + "Output : 0.00276274 [ 1.13 %]\n", + "Levels : 0.000189511 [ 0.08 %]\n", + "Report : 9.27e-07 [ 0.00 %]\n", + "Balance : 5.6e-07 [ 0.00 %]\n", + "Adjust : 0.168089 [ 68.47 %]\n", + "Total : 0.245507 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6588 446 91 12 2 2 1 \n", + "1 : 6564 478 86 10 3 1 0 \n", + "2 : 6634 421 73 8 3 1 2 \n", + "3 : 6609 428 91 9 3 2 0 \n", + "4 : 6581 451 88 12 3 5 2 \n", + "5 : 6596 440 86 13 3 1 3 \n", + "6 : 6584 469 77 4 3 2 3 \n", + "7 : 6598 455 80 7 1 1 0 \n", + "8 : 6623 422 82 7 3 4 1 \n", + "9 : 6585 471 76 6 4 0 0 \n", + "10 : 6629 406 91 13 3 0 0 \n", + "11 : 6626 425 69 14 2 4 2 \n", + "12 : 6596 450 85 5 5 1 0 \n", + "13 : 6560 467 112 6 6 2 1 \n", + "\n", + "T : 92373 6229 1187 126 44 26 15 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.3047e-03 sec\n", + "--- Collate = 5.7635e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.565293e-04 < 1.562500e-03 [7]\n", + "--- Max DT=3.062648e-01 > 1.000000e-01 [71992]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 71992/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=41.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000424067 [ 0.18 %]\n", + "Velocity : 0.00111133 [ 0.48 %]\n", + "Force : 0.0502922 [ 21.53 %]\n", + "Coefs : 0.0236496 [ 10.12 %]\n", + "Output : 0.0023748 [ 1.02 %]\n", + "Levels : 0.000176756 [ 0.08 %]\n", + "Report : 1.193e-06 [ 0.00 %]\n", + "Balance : 3.43e-07 [ 0.00 %]\n", + "Adjust : 0.155447 [ 66.53 %]\n", + "Total : 0.233635 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6588 445 91 13 3 1 1 \n", + "1 : 6561 481 86 10 3 0 1 \n", + "2 : 6633 424 72 7 2 2 2 \n", + "3 : 6612 421 95 11 2 1 0 \n", + "4 : 6579 453 88 13 3 5 1 \n", + "5 : 6596 438 89 11 3 1 4 \n", + "6 : 6584 469 77 5 3 1 3 \n", + "7 : 6599 455 79 6 2 1 0 \n", + "8 : 6627 419 81 8 4 2 1 \n", + "9 : 6584 472 77 4 3 2 0 \n", + "10 : 6629 406 90 15 2 0 0 \n", + "11 : 6623 427 71 14 3 2 2 \n", + "12 : 6592 453 86 8 2 1 0 \n", + "13 : 6555 470 113 8 4 2 2 \n", + "\n", + "T : 92362 6233 1195 133 39 21 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0272e-02 sec\n", + "--- Collate = 6.5157e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.225512e-04 < 1.562500e-03 [8]\n", + "--- Max DT=3.062507e-01 > 1.000000e-01 [71999]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71999/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=41.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000415283 [ 0.18 %]\n", + "Velocity : 0.00117659 [ 0.52 %]\n", + "Force : 0.0480387 [ 21.12 %]\n", + "Coefs : 0.0220594 [ 9.70 %]\n", + "Output : 0.00225456 [ 0.99 %]\n", + "Levels : 0.000239494 [ 0.11 %]\n", + "Report : 9.84e-07 [ 0.00 %]\n", + "Balance : 4.67e-07 [ 0.00 %]\n", + "Adjust : 0.153104 [ 67.32 %]\n", + "Total : 0.22743 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6590 442 92 11 5 1 1 \n", + "1 : 6565 476 86 11 3 0 1 \n", + "2 : 6633 427 70 5 4 2 1 \n", + "3 : 6611 425 93 11 2 0 0 \n", + "4 : 6574 457 91 12 3 3 2 \n", + "5 : 6593 440 90 10 4 1 4 \n", + "6 : 6586 469 75 7 3 1 1 \n", + "7 : 6603 448 81 6 3 1 0 \n", + "8 : 6625 424 77 10 5 1 0 \n", + "9 : 6581 475 76 6 2 1 1 \n", + "10 : 6630 406 89 15 2 0 0 \n", + "11 : 6624 427 73 12 2 1 3 \n", + "12 : 6592 456 82 10 1 1 0 \n", + "13 : 6552 470 118 6 3 1 4 \n", + "\n", + "T : 92359 6242 1193 132 42 14 18 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.2832e-03 sec\n", + "--- Collate = 5.6649e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.393842e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.062341e-01 > 1.000000e-01 [71983]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71983/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=42] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000409365 [ 0.16 %]\n", + "Velocity : 0.00111125 [ 0.44 %]\n", + "Force : 0.0451585 [ 17.95 %]\n", + "Coefs : 0.0222873 [ 8.86 %]\n", + "Output : 0.0312667 [ 12.43 %]\n", + "Levels : 0.000178092 [ 0.07 %]\n", + "Report : 1.801e-06 [ 0.00 %]\n", + "Balance : 9.72e-07 [ 0.00 %]\n", + "Adjust : 0.151053 [ 60.04 %]\n", + "Total : 0.251599 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6591 441 94 8 7 1 0 \n", + "1 : 6560 484 84 10 2 1 1 \n", + "2 : 6634 426 66 9 4 2 1 \n", + "3 : 6610 427 91 11 3 0 0 \n", + "4 : 6575 458 87 13 6 0 3 \n", + "5 : 6590 441 93 9 4 3 2 \n", + "6 : 6585 471 74 10 0 2 0 \n", + "7 : 6597 455 81 6 1 1 1 \n", + "8 : 6621 428 77 11 4 1 0 \n", + "9 : 6583 471 78 5 2 1 2 \n", + "10 : 6627 406 92 16 1 0 0 \n", + "11 : 6619 429 75 13 3 1 2 \n", + "12 : 6589 461 81 9 1 0 1 \n", + "13 : 6552 470 116 9 2 2 3 \n", + "\n", + "T : 92333 6268 1189 139 40 15 16 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.9301e-03 sec\n", + "--- Collate = 5.6688e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.810009e-04 < 1.562500e-03 [6]\n", + "--- Max DT=3.062151e-01 > 1.000000e-01 [71994]\n", + "----------------------------------------------------------------------\n", + " Component | low: 6/100000\n", + " Component | high: 71994/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=42.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000957625 [ 0.41 %]\n", + "Velocity : 0.00259042 [ 1.11 %]\n", + "Force : 0.0470363 [ 20.18 %]\n", + "Coefs : 0.0212017 [ 9.09 %]\n", + "Output : 0.0043949 [ 1.89 %]\n", + "Levels : 0.000259289 [ 0.11 %]\n", + "Report : 8.07e-07 [ 0.00 %]\n", + "Balance : 4.07e-07 [ 0.00 %]\n", + "Adjust : 0.156528 [ 67.14 %]\n", + "Total : 0.233133 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6588 444 95 8 6 1 0 \n", + "1 : 6555 491 82 12 0 1 1 \n", + "2 : 6634 425 68 8 4 1 2 \n", + "3 : 6607 428 92 12 2 1 0 \n", + "4 : 6576 458 85 16 4 0 3 \n", + "5 : 6589 442 95 6 4 5 1 \n", + "6 : 6589 467 70 12 3 1 0 \n", + "7 : 6598 456 77 7 2 0 2 \n", + "8 : 6613 437 76 10 5 0 1 \n", + "9 : 6583 472 77 5 1 1 3 \n", + "10 : 6629 407 90 13 3 0 0 \n", + "11 : 6619 429 77 11 3 1 2 \n", + "12 : 6595 455 78 11 2 0 1 \n", + "13 : 6554 468 115 9 1 4 3 \n", + "\n", + "T : 92329 6279 1177 140 40 16 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.7314e-03 sec\n", + "--- Collate = 5.7824e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.635628e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.061934e-01 > 1.000000e-01 [71997]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71997/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=42.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000983825 [ 0.42 %]\n", + "Velocity : 0.00227185 [ 0.96 %]\n", + "Force : 0.0490751 [ 20.74 %]\n", + "Coefs : 0.021245 [ 8.98 %]\n", + "Output : 0.00455602 [ 1.93 %]\n", + "Levels : 0.000239587 [ 0.10 %]\n", + "Report : 6.02e-07 [ 0.00 %]\n", + "Balance : 3.47e-07 [ 0.00 %]\n", + "Adjust : 0.158069 [ 66.81 %]\n", + "Total : 0.236607 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6588 443 97 7 5 2 0 \n", + "1 : 6557 489 83 11 0 1 1 \n", + "2 : 6634 424 69 9 4 0 2 \n", + "3 : 6607 425 97 10 1 2 0 \n", + "4 : 6580 454 85 16 3 3 1 \n", + "5 : 6588 444 94 5 7 3 1 \n", + "6 : 6596 460 69 12 3 2 0 \n", + "7 : 6596 458 77 7 2 0 2 \n", + "8 : 6614 436 75 11 5 0 1 \n", + "9 : 6583 473 77 3 1 2 3 \n", + "10 : 6628 407 92 12 2 1 0 \n", + "11 : 6616 435 74 11 3 1 2 \n", + "12 : 6592 457 78 11 1 2 1 \n", + "13 : 6550 474 114 6 3 3 4 \n", + "\n", + "T : 92329 6279 1181 131 40 22 18 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.8564e-03 sec\n", + "--- Collate = 6.2790e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.133813e-04 < 1.562500e-03 [12]\n", + "--- Max DT=3.061693e-01 > 1.000000e-01 [72027]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 72027/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=42.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000932274 [ 0.39 %]\n", + "Velocity : 0.00233978 [ 0.99 %]\n", + "Force : 0.0463806 [ 19.60 %]\n", + "Coefs : 0.0220389 [ 9.31 %]\n", + "Output : 0.00461033 [ 1.95 %]\n", + "Levels : 0.000300536 [ 0.13 %]\n", + "Report : 6.2e-07 [ 0.00 %]\n", + "Balance : 3.2e-07 [ 0.00 %]\n", + "Adjust : 0.159836 [ 67.55 %]\n", + "Total : 0.236604 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6586 444 96 9 4 2 1 \n", + "1 : 6559 490 78 13 1 0 1 \n", + "2 : 6634 424 70 8 3 2 1 \n", + "3 : 6605 428 95 12 0 1 1 \n", + "4 : 6582 455 85 15 3 0 2 \n", + "5 : 6589 442 93 7 5 3 3 \n", + "6 : 6598 456 72 11 2 2 1 \n", + "7 : 6598 456 80 4 2 1 1 \n", + "8 : 6615 434 74 12 5 1 1 \n", + "9 : 6581 475 77 3 2 2 2 \n", + "10 : 6627 407 94 11 1 2 0 \n", + "11 : 6618 432 74 11 4 1 2 \n", + "12 : 6593 457 77 10 3 1 1 \n", + "13 : 6549 475 114 7 3 2 4 \n", + "\n", + "T : 92334 6275 1179 133 38 20 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 32.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.0127e-02 sec\n", + "--- Collate = 5.1544e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.523890e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.061771e-01 > 1.000000e-01 [72028]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 72028/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=42.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000936326 [ 0.39 %]\n", + "Velocity : 0.00235339 [ 0.99 %]\n", + "Force : 0.0472768 [ 19.87 %]\n", + "Coefs : 0.021632 [ 9.09 %]\n", + "Output : 0.00463353 [ 1.95 %]\n", + "Levels : 0.000213588 [ 0.09 %]\n", + "Report : 7.59e-07 [ 0.00 %]\n", + "Balance : 3.45e-07 [ 0.00 %]\n", + "Adjust : 0.160739 [ 67.55 %]\n", + "Total : 0.23795 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6585 444 97 9 2 3 2 \n", + "1 : 6564 484 78 14 1 1 0 \n", + "2 : 6634 422 72 9 3 2 0 \n", + "3 : 6601 432 94 12 1 0 2 \n", + "4 : 6581 458 82 14 3 2 2 \n", + "5 : 6589 441 93 9 5 1 4 \n", + "6 : 6602 450 74 9 5 0 2 \n", + "7 : 6601 453 80 4 1 3 0 \n", + "8 : 6617 432 71 15 2 5 0 \n", + "9 : 6580 474 79 3 2 2 2 \n", + "10 : 6626 409 92 12 1 1 1 \n", + "11 : 6619 432 70 16 2 0 3 \n", + "12 : 6590 463 75 6 5 1 2 \n", + "13 : 6548 476 113 8 3 3 3 \n", + "\n", + "T : 92337 6270 1170 140 36 24 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.7657e-03 sec\n", + "--- Collate = 5.1736e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.168204e-04 < 1.562500e-03 [17]\n", + "--- Max DT=3.063093e-01 > 1.000000e-01 [72049]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 72049/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=42.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000937528 [ 0.40 %]\n", + "Velocity : 0.00232115 [ 0.99 %]\n", + "Force : 0.0470175 [ 20.11 %]\n", + "Coefs : 0.0221387 [ 9.47 %]\n", + "Output : 0.00444803 [ 1.90 %]\n", + "Levels : 0.000239221 [ 0.10 %]\n", + "Report : 5.97e-07 [ 0.00 %]\n", + "Balance : 3.7e-07 [ 0.00 %]\n", + "Adjust : 0.156539 [ 66.95 %]\n", + "Total : 0.233805 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6584 447 93 12 1 1 4 \n", + "1 : 6563 482 80 15 1 1 0 \n", + "2 : 6633 423 73 8 2 3 0 \n", + "3 : 6602 430 96 9 2 1 2 \n", + "4 : 6583 454 84 14 2 0 5 \n", + "5 : 6585 445 93 9 5 1 4 \n", + "6 : 6599 453 73 10 5 1 1 \n", + "7 : 6600 451 84 4 1 2 0 \n", + "8 : 6614 433 74 14 2 4 1 \n", + "9 : 6578 476 78 5 1 3 1 \n", + "10 : 6623 408 95 13 0 1 2 \n", + "11 : 6620 431 72 15 0 3 1 \n", + "12 : 6586 466 76 5 4 1 4 \n", + "13 : 6549 473 115 8 4 2 3 \n", + "\n", + "T : 92319 6272 1186 141 30 24 28 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.6677e-03 sec\n", + "--- Collate = 5.4136e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.801655e-06 < 1.562500e-03 [21]\n", + "--- Max DT=3.064354e-01 > 1.000000e-01 [72041]\n", + "----------------------------------------------------------------------\n", + " Component | low: 21/100000\n", + " Component | high: 72041/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=42.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000910703 [ 0.39 %]\n", + "Velocity : 0.0023626 [ 1.01 %]\n", + "Force : 0.0464748 [ 19.92 %]\n", + "Coefs : 0.0218632 [ 9.37 %]\n", + "Output : 0.00455893 [ 1.95 %]\n", + "Levels : 0.000238607 [ 0.10 %]\n", + "Report : 7.35e-07 [ 0.00 %]\n", + "Balance : 3.7e-07 [ 0.00 %]\n", + "Adjust : 0.15675 [ 67.18 %]\n", + "Total : 0.233323 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6589 444 92 11 3 0 3 \n", + "1 : 6563 482 81 13 3 0 0 \n", + "2 : 6630 427 74 6 2 2 1 \n", + "3 : 6602 429 97 9 3 1 1 \n", + "4 : 6583 454 84 13 2 3 3 \n", + "5 : 6588 438 97 7 5 4 3 \n", + "6 : 6595 456 73 11 4 2 1 \n", + "7 : 6604 447 81 7 2 0 1 \n", + "8 : 6615 431 75 14 2 2 3 \n", + "9 : 6580 472 78 6 4 0 2 \n", + "10 : 6623 407 97 12 0 1 2 \n", + "11 : 6621 429 73 14 1 2 2 \n", + "12 : 6586 462 81 5 3 1 4 \n", + "13 : 6548 476 112 8 6 2 2 \n", + "\n", + "T : 92327 6254 1195 136 40 20 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.7448e-03 sec\n", + "--- Collate = 5.4782e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.695322e-04 < 1.562500e-03 [15]\n", + "--- Max DT=3.065560e-01 > 1.000000e-01 [72048]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 72048/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=42.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000932778 [ 0.40 %]\n", + "Velocity : 0.00233273 [ 0.99 %]\n", + "Force : 0.046781 [ 19.93 %]\n", + "Coefs : 0.0218224 [ 9.30 %]\n", + "Output : 0.00452103 [ 1.93 %]\n", + "Levels : 0.000283365 [ 0.12 %]\n", + "Report : 6.5e-07 [ 0.00 %]\n", + "Balance : 3.6e-07 [ 0.00 %]\n", + "Adjust : 0.157925 [ 67.27 %]\n", + "Total : 0.234761 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6588 444 93 11 3 2 1 \n", + "1 : 6560 483 84 12 3 0 0 \n", + "2 : 6632 423 77 5 2 1 2 \n", + "3 : 6600 431 96 11 1 2 1 \n", + "4 : 6584 453 82 14 3 2 4 \n", + "5 : 6588 436 99 7 6 1 5 \n", + "6 : 6597 453 74 12 4 1 1 \n", + "7 : 6605 447 80 7 2 0 1 \n", + "8 : 6609 436 78 12 3 0 4 \n", + "9 : 6579 471 80 7 3 1 1 \n", + "10 : 6624 408 97 9 1 1 2 \n", + "11 : 6623 427 77 9 4 1 1 \n", + "12 : 6588 459 81 5 2 4 3 \n", + "13 : 6541 485 111 8 5 2 2 \n", + "\n", + "T : 92318 6256 1209 129 42 18 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.6826e-03 sec\n", + "--- Collate = 5.3567e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.637879e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.066709e-01 > 1.000000e-01 [72054]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 72054/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=42.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000936572 [ 0.39 %]\n", + "Velocity : 0.00189467 [ 0.80 %]\n", + "Force : 0.0468649 [ 19.75 %]\n", + "Coefs : 0.0214931 [ 9.06 %]\n", + "Output : 0.00452735 [ 1.91 %]\n", + "Levels : 0.000299054 [ 0.13 %]\n", + "Report : 6.66e-07 [ 0.00 %]\n", + "Balance : 3.49e-07 [ 0.00 %]\n", + "Adjust : 0.161111 [ 67.89 %]\n", + "Total : 0.237326 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6589 444 95 9 2 2 1 \n", + "1 : 6558 485 82 14 1 2 0 \n", + "2 : 6632 420 81 5 1 1 2 \n", + "3 : 6597 433 97 10 1 2 2 \n", + "4 : 6582 453 86 12 4 4 1 \n", + "5 : 6590 436 96 8 8 1 3 \n", + "6 : 6595 456 74 11 2 3 1 \n", + "7 : 6604 448 78 8 2 1 1 \n", + "8 : 6610 434 77 13 4 1 3 \n", + "9 : 6578 471 81 8 3 0 1 \n", + "10 : 6626 409 92 11 1 1 2 \n", + "11 : 6622 429 75 10 5 0 1 \n", + "12 : 6584 461 83 5 2 5 2 \n", + "13 : 6541 483 112 10 3 3 2 \n", + "\n", + "T : 92308 6262 1209 134 39 26 22 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.7333e-03 sec\n", + "--- Collate = 5.5682e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.345065e-04 < 1.562500e-03 [7]\n", + "--- Max DT=3.067805e-01 > 1.000000e-01 [72063]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 72063/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=42.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000870495 [ 0.37 %]\n", + "Velocity : 0.00227196 [ 0.97 %]\n", + "Force : 0.0471266 [ 20.05 %]\n", + "Coefs : 0.021124 [ 8.99 %]\n", + "Output : 0.00454218 [ 1.93 %]\n", + "Levels : 0.00027092 [ 0.12 %]\n", + "Report : 6.77e-07 [ 0.00 %]\n", + "Balance : 4.13e-07 [ 0.00 %]\n", + "Adjust : 0.158703 [ 67.51 %]\n", + "Total : 0.235078 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6590 444 95 7 4 2 0 \n", + "1 : 6559 481 86 11 3 0 2 \n", + "2 : 6634 418 82 4 1 1 2 \n", + "3 : 6596 432 98 11 1 0 4 \n", + "4 : 6580 455 88 10 4 3 2 \n", + "5 : 6592 433 97 9 4 4 3 \n", + "6 : 6596 456 73 11 3 2 1 \n", + "7 : 6603 447 80 6 3 2 1 \n", + "8 : 6608 433 81 10 6 3 1 \n", + "9 : 6578 473 80 8 2 1 0 \n", + "10 : 6626 410 91 12 1 0 2 \n", + "11 : 6619 432 76 9 4 2 0 \n", + "12 : 6581 466 81 5 3 5 1 \n", + "13 : 6542 482 111 11 3 3 2 \n", + "\n", + "T : 92304 6262 1219 124 42 28 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.3769e-03 sec\n", + "--- Collate = 5.9422e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.968646e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.068846e-01 > 1.000000e-01 [72067]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 72067/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=43] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000907842 [ 0.35 %]\n", + "Velocity : 0.00218036 [ 0.83 %]\n", + "Force : 0.0466513 [ 17.76 %]\n", + "Coefs : 0.0211018 [ 8.03 %]\n", + "Output : 0.0357474 [ 13.61 %]\n", + "Levels : 0.00029638 [ 0.11 %]\n", + "Report : 1.844e-06 [ 0.00 %]\n", + "Balance : 1.193e-06 [ 0.00 %]\n", + "Adjust : 0.155636 [ 59.24 %]\n", + "Total : 0.26271 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6588 447 93 10 3 0 1 \n", + "1 : 6557 483 87 10 3 0 2 \n", + "2 : 6627 425 82 5 1 1 1 \n", + "3 : 6594 435 99 9 1 1 3 \n", + "4 : 6577 458 88 11 5 2 1 \n", + "5 : 6587 439 92 13 1 8 2 \n", + "6 : 6596 453 77 10 3 1 2 \n", + "7 : 6600 450 80 5 5 1 1 \n", + "8 : 6607 436 80 11 4 4 0 \n", + "9 : 6577 475 77 11 1 1 0 \n", + "10 : 6626 407 94 12 1 1 1 \n", + "11 : 6617 436 74 10 4 1 0 \n", + "12 : 6586 460 81 8 2 3 2 \n", + "13 : 6539 486 111 10 5 0 3 \n", + "\n", + "T : 92278 6290 1215 135 39 24 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.8846e-03 sec\n", + "--- Collate = 6.0892e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.084799e-06 < 1.562500e-03 [13]\n", + "--- Max DT=3.069833e-01 > 1.000000e-01 [72039]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 72039/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=43.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000847379 [ 0.36 %]\n", + "Velocity : 0.00221362 [ 0.95 %]\n", + "Force : 0.0471353 [ 20.29 %]\n", + "Coefs : 0.0212154 [ 9.13 %]\n", + "Output : 0.0044996 [ 1.94 %]\n", + "Levels : 0.000251337 [ 0.11 %]\n", + "Report : 9.39e-07 [ 0.00 %]\n", + "Balance : 3.61e-07 [ 0.00 %]\n", + "Adjust : 0.155932 [ 67.14 %]\n", + "Total : 0.232255 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6586 449 92 12 2 1 0 \n", + "1 : 6561 476 90 9 2 2 2 \n", + "2 : 6620 431 84 4 2 0 1 \n", + "3 : 6596 433 100 8 2 1 2 \n", + "4 : 6576 457 89 13 4 1 2 \n", + "5 : 6584 444 88 14 4 2 6 \n", + "6 : 6594 455 78 11 2 0 2 \n", + "7 : 6599 450 81 4 6 1 1 \n", + "8 : 6607 431 86 10 5 1 2 \n", + "9 : 6573 482 73 12 1 1 0 \n", + "10 : 6625 408 93 13 2 1 0 \n", + "11 : 6616 437 75 9 4 1 0 \n", + "12 : 6585 459 83 9 4 1 1 \n", + "13 : 6536 490 110 11 2 3 2 \n", + "\n", + "T : 92258 6302 1222 139 42 16 21 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.9239e-03 sec\n", + "--- Collate = 5.8354e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.176918e-04 < 1.562500e-03 [10]\n", + "--- Max DT=3.070766e-01 > 1.000000e-01 [72052]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 72052/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=43.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000873972 [ 0.37 %]\n", + "Velocity : 0.00225365 [ 0.96 %]\n", + "Force : 0.0464513 [ 19.79 %]\n", + "Coefs : 0.0209286 [ 8.91 %]\n", + "Output : 0.00431812 [ 1.84 %]\n", + "Levels : 0.000254104 [ 0.11 %]\n", + "Report : 8.12e-07 [ 0.00 %]\n", + "Balance : 3.61e-07 [ 0.00 %]\n", + "Adjust : 0.159539 [ 67.95 %]\n", + "Total : 0.234774 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6589 448 90 13 1 1 0 \n", + "1 : 6558 480 89 9 1 4 1 \n", + "2 : 6617 437 78 7 2 0 1 \n", + "3 : 6596 433 99 10 2 2 0 \n", + "4 : 6574 458 91 14 3 1 1 \n", + "5 : 6584 445 86 14 5 1 7 \n", + "6 : 6591 457 80 11 1 0 2 \n", + "7 : 6598 449 83 5 2 5 0 \n", + "8 : 6607 430 86 12 4 0 3 \n", + "9 : 6572 482 73 13 1 1 0 \n", + "10 : 6626 408 92 14 1 1 0 \n", + "11 : 6616 435 77 10 3 0 1 \n", + "12 : 6586 457 87 5 5 1 1 \n", + "13 : 6536 494 108 9 3 1 3 \n", + "\n", + "T : 92250 6313 1219 146 34 18 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.6949e-03 sec\n", + "--- Collate = 6.6060e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.119295e-04 < 1.562500e-03 [11]\n", + "--- Max DT=3.071641e-01 > 1.000000e-01 [72046]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 72046/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=43.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00092669 [ 0.39 %]\n", + "Velocity : 0.00231346 [ 0.98 %]\n", + "Force : 0.0466037 [ 19.65 %]\n", + "Coefs : 0.0224355 [ 9.46 %]\n", + "Output : 0.00434966 [ 1.83 %]\n", + "Levels : 0.000234421 [ 0.10 %]\n", + "Report : 7.59e-07 [ 0.00 %]\n", + "Balance : 3.64e-07 [ 0.00 %]\n", + "Adjust : 0.160107 [ 67.52 %]\n", + "Total : 0.237132 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6585 454 88 12 2 0 1 \n", + "1 : 6556 482 88 8 4 2 2 \n", + "2 : 6625 431 75 9 0 1 1 \n", + "3 : 6591 441 97 11 2 0 0 \n", + "4 : 6571 464 88 13 5 0 1 \n", + "5 : 6578 449 88 13 5 3 6 \n", + "6 : 6586 459 84 9 3 1 0 \n", + "7 : 6597 449 84 4 4 1 3 \n", + "8 : 6606 430 85 13 4 1 3 \n", + "9 : 6572 482 76 11 0 0 1 \n", + "10 : 6624 410 92 13 3 0 0 \n", + "11 : 6616 436 77 9 1 2 1 \n", + "12 : 6583 460 88 7 1 3 0 \n", + "13 : 6533 496 109 8 4 1 3 \n", + "\n", + "T : 92223 6343 1219 140 38 15 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.9420e-03 sec\n", + "--- Collate = 6.5945e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.347286e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.072462e-01 > 1.000000e-01 [72039]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 72039/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=43.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000965139 [ 0.41 %]\n", + "Velocity : 0.00234714 [ 0.99 %]\n", + "Force : 0.0472042 [ 19.94 %]\n", + "Coefs : 0.0212763 [ 8.99 %]\n", + "Output : 0.00455132 [ 1.92 %]\n", + "Levels : 0.0002864 [ 0.12 %]\n", + "Report : 5.82e-07 [ 0.00 %]\n", + "Balance : 3.28e-07 [ 0.00 %]\n", + "Adjust : 0.159913 [ 67.56 %]\n", + "Total : 0.236708 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6585 454 84 15 3 1 0 \n", + "1 : 6559 480 88 8 3 1 3 \n", + "2 : 6621 434 76 8 1 1 1 \n", + "3 : 6591 441 98 9 3 0 0 \n", + "4 : 6565 471 90 12 2 2 0 \n", + "5 : 6574 455 85 11 9 4 4 \n", + "6 : 6589 457 85 6 3 1 1 \n", + "7 : 6596 449 83 6 4 0 4 \n", + "8 : 6606 426 90 13 1 4 2 \n", + "9 : 6574 480 76 11 0 1 0 \n", + "10 : 6621 414 91 12 2 2 0 \n", + "11 : 6612 440 78 9 0 3 0 \n", + "12 : 6574 469 86 9 1 3 0 \n", + "13 : 6533 496 108 8 6 0 3 \n", + "\n", + "T : 92200 6366 1218 137 38 23 18 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.6683e-03 sec\n", + "--- Collate = 7.3120e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.113568e-04 < 1.562500e-03 [7]\n", + "--- Max DT=3.073232e-01 > 1.000000e-01 [72043]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 72043/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=43.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000973422 [ 0.41 %]\n", + "Velocity : 0.00234754 [ 1.00 %]\n", + "Force : 0.0469481 [ 20.01 %]\n", + "Coefs : 0.0216055 [ 9.21 %]\n", + "Output : 0.0043462 [ 1.85 %]\n", + "Levels : 0.000233493 [ 0.10 %]\n", + "Report : 6.62e-07 [ 0.00 %]\n", + "Balance : 3.39e-07 [ 0.00 %]\n", + "Adjust : 0.157999 [ 67.34 %]\n", + "Total : 0.234614 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6587 454 82 14 3 2 0 \n", + "1 : 6562 475 89 9 3 1 3 \n", + "2 : 6618 439 74 8 0 2 1 \n", + "3 : 6591 439 99 10 3 0 0 \n", + "4 : 6562 475 88 12 3 2 0 \n", + "5 : 6573 459 82 12 11 3 2 \n", + "6 : 6588 460 84 5 3 1 1 \n", + "7 : 6595 452 82 5 4 0 4 \n", + "8 : 6604 426 93 12 2 4 1 \n", + "9 : 6574 482 75 8 2 1 0 \n", + "10 : 6620 414 92 11 3 1 1 \n", + "11 : 6610 442 78 9 0 2 1 \n", + "12 : 6576 467 84 11 3 1 0 \n", + "13 : 6536 493 107 10 2 5 1 \n", + "\n", + "T : 92196 6377 1209 136 42 25 15 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.8338e-03 sec\n", + "--- Collate = 6.0423e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.318135e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.073947e-01 > 1.000000e-01 [72057]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 72057/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=43.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00094404 [ 0.40 %]\n", + "Velocity : 0.00232933 [ 0.98 %]\n", + "Force : 0.0467845 [ 19.71 %]\n", + "Coefs : 0.0212399 [ 8.95 %]\n", + "Output : 0.00440125 [ 1.85 %]\n", + "Levels : 0.000236556 [ 0.10 %]\n", + "Report : 7.34e-07 [ 0.00 %]\n", + "Balance : 3.34e-07 [ 0.00 %]\n", + "Adjust : 0.161318 [ 67.95 %]\n", + "Total : 0.237415 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6584 456 83 14 3 2 0 \n", + "1 : 6557 478 91 7 4 3 2 \n", + "2 : 6618 440 73 7 1 1 2 \n", + "3 : 6587 443 98 10 3 1 0 \n", + "4 : 6563 474 89 12 2 1 1 \n", + "5 : 6572 460 83 14 7 4 2 \n", + "6 : 6596 451 85 5 1 2 2 \n", + "7 : 6591 458 80 5 2 5 1 \n", + "8 : 6605 428 89 15 2 1 2 \n", + "9 : 6573 482 75 9 2 0 1 \n", + "10 : 6622 413 93 10 1 1 2 \n", + "11 : 6610 440 79 11 0 0 2 \n", + "12 : 6572 471 83 10 5 1 0 \n", + "13 : 6534 499 103 10 4 3 1 \n", + "\n", + "T : 92184 6393 1204 139 37 25 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.8158e-03 sec\n", + "--- Collate = 6.0545e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.646473e-04 < 1.562500e-03 [13]\n", + "--- Max DT=3.074610e-01 > 1.000000e-01 [72057]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 72057/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=43.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000937484 [ 0.39 %]\n", + "Velocity : 0.00233888 [ 0.98 %]\n", + "Force : 0.0465001 [ 19.56 %]\n", + "Coefs : 0.0218853 [ 9.21 %]\n", + "Output : 0.00456831 [ 1.92 %]\n", + "Levels : 0.000301825 [ 0.13 %]\n", + "Report : 4.68e-07 [ 0.00 %]\n", + "Balance : 3.69e-07 [ 0.00 %]\n", + "Adjust : 0.161015 [ 67.74 %]\n", + "Total : 0.23771 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6585 454 83 14 4 0 2 \n", + "1 : 6556 481 90 7 3 2 3 \n", + "2 : 6618 440 73 6 1 2 2 \n", + "3 : 6587 444 97 9 2 2 1 \n", + "4 : 6560 475 93 9 3 0 2 \n", + "5 : 6570 464 80 16 4 6 2 \n", + "6 : 6600 448 84 4 2 2 2 \n", + "7 : 6594 454 81 6 4 3 0 \n", + "8 : 6604 429 90 11 5 2 1 \n", + "9 : 6572 482 75 8 3 2 0 \n", + "10 : 6623 412 93 10 0 2 2 \n", + "11 : 6612 441 76 11 0 0 2 \n", + "12 : 6572 472 82 9 5 1 1 \n", + "13 : 6537 496 106 8 3 1 3 \n", + "\n", + "T : 92190 6392 1203 128 39 25 23 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.3459e-03 sec\n", + "--- Collate = 5.6113e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.165712e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.075219e-01 > 1.000000e-01 [72058]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 72058/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=43.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00111234 [ 0.48 %]\n", + "Velocity : 0.00225364 [ 0.97 %]\n", + "Force : 0.0466441 [ 20.17 %]\n", + "Coefs : 0.0224392 [ 9.70 %]\n", + "Output : 0.00450845 [ 1.95 %]\n", + "Levels : 0.000248363 [ 0.11 %]\n", + "Report : 6.25e-07 [ 0.00 %]\n", + "Balance : 3.97e-07 [ 0.00 %]\n", + "Adjust : 0.153884 [ 66.54 %]\n", + "Total : 0.231271 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6578 461 83 11 6 1 2 \n", + "1 : 6556 481 88 9 2 2 4 \n", + "2 : 6619 438 75 5 2 2 1 \n", + "3 : 6588 441 100 8 0 2 3 \n", + "4 : 6559 474 95 9 3 0 2 \n", + "5 : 6569 465 80 16 3 5 4 \n", + "6 : 6602 446 84 5 0 2 3 \n", + "7 : 6595 449 84 10 3 0 1 \n", + "8 : 6599 433 91 12 3 2 2 \n", + "9 : 6571 482 75 9 2 3 0 \n", + "10 : 6622 414 91 10 1 1 3 \n", + "11 : 6608 444 77 7 4 1 1 \n", + "12 : 6571 471 86 7 2 3 2 \n", + "13 : 6537 497 103 11 3 0 3 \n", + "\n", + "T : 92174 6396 1212 129 34 24 31 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.6445e-03 sec\n", + "--- Collate = 5.2750e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.631364e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.075775e-01 > 1.000000e-01 [72060]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 72060/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=43.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000830829 [ 0.36 %]\n", + "Velocity : 0.00207529 [ 0.91 %]\n", + "Force : 0.0473594 [ 20.76 %]\n", + "Coefs : 0.0216926 [ 9.51 %]\n", + "Output : 0.00439896 [ 1.93 %]\n", + "Levels : 0.000213972 [ 0.09 %]\n", + "Report : 4.95e-07 [ 0.00 %]\n", + "Balance : 4.02e-07 [ 0.00 %]\n", + "Adjust : 0.151397 [ 66.36 %]\n", + "Total : 0.228129 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6576 464 82 12 4 1 3 \n", + "1 : 6551 486 88 9 3 0 5 \n", + "2 : 6619 437 75 6 2 2 1 \n", + "3 : 6593 436 99 9 0 1 4 \n", + "4 : 6555 476 97 9 3 1 1 \n", + "5 : 6567 468 81 14 1 5 6 \n", + "6 : 6605 445 81 6 1 2 2 \n", + "7 : 6593 450 87 9 2 0 1 \n", + "8 : 6599 430 95 10 5 2 1 \n", + "9 : 6567 486 75 9 2 1 2 \n", + "10 : 6622 412 92 9 4 1 2 \n", + "11 : 6605 443 84 4 4 2 0 \n", + "12 : 6567 477 83 9 1 2 3 \n", + "13 : 6543 490 105 7 5 2 2 \n", + "\n", + "T : 92162 6400 1224 122 37 22 33 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.4228e-03 sec\n", + "--- Collate = 4.9640e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.594983e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.076276e-01 > 1.000000e-01 [72056]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 72056/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=44] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000675279 [ 0.26 %]\n", + "Velocity : 0.00200546 [ 0.78 %]\n", + "Force : 0.0469194 [ 18.34 %]\n", + "Coefs : 0.0234962 [ 9.19 %]\n", + "Output : 0.0275113 [ 10.76 %]\n", + "Levels : 0.000232789 [ 0.09 %]\n", + "Report : 1.299e-06 [ 0.00 %]\n", + "Balance : 4.82e-07 [ 0.00 %]\n", + "Adjust : 0.154775 [ 60.51 %]\n", + "Total : 0.255782 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6577 461 86 9 3 4 2 \n", + "1 : 6551 490 83 10 1 3 4 \n", + "2 : 6614 438 77 7 2 3 1 \n", + "3 : 6596 432 99 9 1 1 4 \n", + "4 : 6557 472 98 10 3 2 0 \n", + "5 : 6568 467 82 11 4 4 6 \n", + "6 : 6605 443 83 6 1 2 2 \n", + "7 : 6591 453 86 9 2 0 1 \n", + "8 : 6595 432 100 8 3 3 1 \n", + "9 : 6567 485 76 9 1 2 2 \n", + "10 : 6615 420 93 6 5 1 2 \n", + "11 : 6604 443 84 5 4 2 0 \n", + "12 : 6566 479 82 9 1 3 2 \n", + "13 : 6542 489 107 6 6 2 2 \n", + "\n", + "T : 92148 6404 1236 114 37 32 29 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.1584e-03 sec\n", + "--- Collate = 5.6065e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.495506e-06 < 1.562500e-03 [13]\n", + "--- Max DT=3.076723e-01 > 1.000000e-01 [72069]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 72069/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=44.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00036236 [ 0.17 %]\n", + "Velocity : 0.0013222 [ 0.61 %]\n", + "Force : 0.0444224 [ 20.42 %]\n", + "Coefs : 0.0220008 [ 10.11 %]\n", + "Output : 0.00165998 [ 0.76 %]\n", + "Levels : 0.000226055 [ 0.10 %]\n", + "Report : 6.46e-07 [ 0.00 %]\n", + "Balance : 3.2e-07 [ 0.00 %]\n", + "Adjust : 0.14741 [ 67.77 %]\n", + "Total : 0.217527 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6576 462 88 6 3 3 4 \n", + "1 : 6550 492 82 11 1 4 2 \n", + "2 : 6613 438 78 7 3 0 3 \n", + "3 : 6600 430 98 8 1 3 2 \n", + "4 : 6559 472 93 12 4 2 0 \n", + "5 : 6566 470 83 8 9 0 6 \n", + "6 : 6601 447 83 5 3 1 2 \n", + "7 : 6586 457 87 9 2 1 0 \n", + "8 : 6595 431 100 12 0 3 1 \n", + "9 : 6566 486 75 10 1 0 4 \n", + "10 : 6611 424 94 6 3 3 1 \n", + "11 : 6602 448 81 5 3 3 0 \n", + "12 : 6566 480 82 8 3 1 2 \n", + "13 : 6545 483 111 6 5 2 2 \n", + "\n", + "T : 92136 6420 1235 113 41 26 29 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.0955e-03 sec\n", + "--- Collate = 5.4196e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.175198e-05 < 1.562500e-03 [17]\n", + "--- Max DT=3.077115e-01 > 1.000000e-01 [72056]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 72056/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=44.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000331976 [ 0.15 %]\n", + "Velocity : 0.000972655 [ 0.44 %]\n", + "Force : 0.0451419 [ 20.24 %]\n", + "Coefs : 0.0221126 [ 9.91 %]\n", + "Output : 0.00163692 [ 0.73 %]\n", + "Levels : 0.000198634 [ 0.09 %]\n", + "Report : 9.46e-07 [ 0.00 %]\n", + "Balance : 3.32e-07 [ 0.00 %]\n", + "Adjust : 0.152549 [ 68.38 %]\n", + "Total : 0.22308 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6575 463 87 6 5 2 4 \n", + "1 : 6547 496 81 11 4 1 2 \n", + "2 : 6612 440 77 7 2 2 2 \n", + "3 : 6594 438 95 8 5 1 1 \n", + "4 : 6558 475 91 13 3 1 1 \n", + "5 : 6564 468 92 5 4 6 3 \n", + "6 : 6599 448 87 4 2 0 2 \n", + "7 : 6586 455 88 8 4 1 0 \n", + "8 : 6598 431 98 10 2 1 2 \n", + "9 : 6560 492 74 11 1 2 2 \n", + "10 : 6610 424 93 9 4 0 2 \n", + "11 : 6604 447 80 5 3 1 2 \n", + "12 : 6565 481 83 7 4 1 1 \n", + "13 : 6546 483 111 4 5 2 3 \n", + "\n", + "T : 92118 6441 1237 108 48 21 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.1492e-03 sec\n", + "--- Collate = 4.8235e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.006973e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.077452e-01 > 1.000000e-01 [72065]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 72065/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=44.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000354027 [ 0.16 %]\n", + "Velocity : 0.000986855 [ 0.45 %]\n", + "Force : 0.0450014 [ 20.35 %]\n", + "Coefs : 0.0219426 [ 9.92 %]\n", + "Output : 0.00162951 [ 0.74 %]\n", + "Levels : 0.000161057 [ 0.07 %]\n", + "Report : 7.39e-07 [ 0.00 %]\n", + "Balance : 3.37e-07 [ 0.00 %]\n", + "Adjust : 0.150991 [ 68.26 %]\n", + "Total : 0.221187 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6573 466 87 6 3 3 4 \n", + "1 : 6546 496 82 10 4 2 2 \n", + "2 : 6611 441 77 7 3 1 2 \n", + "3 : 6600 433 93 10 5 1 0 \n", + "4 : 6559 473 92 13 2 1 2 \n", + "5 : 6559 472 91 8 5 3 4 \n", + "6 : 6597 450 86 3 3 2 1 \n", + "7 : 6586 453 87 12 2 1 1 \n", + "8 : 6594 434 100 9 3 0 2 \n", + "9 : 6562 488 76 9 5 0 2 \n", + "10 : 6607 428 94 9 2 0 2 \n", + "11 : 6599 452 78 7 2 1 3 \n", + "12 : 6564 483 82 8 3 1 1 \n", + "13 : 6542 489 107 8 2 2 4 \n", + "\n", + "T : 92099 6458 1232 119 44 18 30 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.6404e-03 sec\n", + "--- Collate = 5.9456e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.407408e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.077736e-01 > 1.000000e-01 [72066]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 72066/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=44.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000353309 [ 0.16 %]\n", + "Velocity : 0.00101431 [ 0.45 %]\n", + "Force : 0.0459309 [ 20.35 %]\n", + "Coefs : 0.0223946 [ 9.92 %]\n", + "Output : 0.0017187 [ 0.76 %]\n", + "Levels : 0.000213677 [ 0.09 %]\n", + "Report : 1.056e-06 [ 0.00 %]\n", + "Balance : 3.87e-07 [ 0.00 %]\n", + "Adjust : 0.15393 [ 68.20 %]\n", + "Total : 0.225694 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6572 468 87 6 2 4 3 \n", + "1 : 6545 496 82 9 5 2 3 \n", + "2 : 6611 441 78 5 4 2 1 \n", + "3 : 6598 434 97 9 3 1 0 \n", + "4 : 6555 476 93 11 4 1 2 \n", + "5 : 6564 466 89 11 4 4 4 \n", + "6 : 6602 446 85 4 2 2 1 \n", + "7 : 6584 456 87 9 4 0 2 \n", + "8 : 6589 441 99 7 4 1 1 \n", + "9 : 6565 481 80 11 3 2 0 \n", + "10 : 6600 433 95 10 2 1 1 \n", + "11 : 6597 455 78 5 3 1 3 \n", + "12 : 6566 481 84 7 3 1 0 \n", + "13 : 6544 490 102 10 1 3 4 \n", + "\n", + "T : 92092 6464 1236 114 44 25 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.8226e-03 sec\n", + "--- Collate = 5.2578e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.807957e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.077966e-01 > 1.000000e-01 [72061]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 72061/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=44.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000448412 [ 0.20 %]\n", + "Velocity : 0.00110769 [ 0.49 %]\n", + "Force : 0.0460534 [ 20.57 %]\n", + "Coefs : 0.0222493 [ 9.94 %]\n", + "Output : 0.00152894 [ 0.68 %]\n", + "Levels : 0.00024114 [ 0.11 %]\n", + "Report : 8.94e-07 [ 0.00 %]\n", + "Balance : 3.87e-07 [ 0.00 %]\n", + "Adjust : 0.152142 [ 67.95 %]\n", + "Total : 0.22391 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6568 471 85 10 3 2 3 \n", + "1 : 6546 497 80 10 4 3 2 \n", + "2 : 6619 433 78 8 2 1 1 \n", + "3 : 6602 429 98 9 3 1 0 \n", + "4 : 6556 473 95 7 8 1 2 \n", + "5 : 6558 473 88 10 5 4 4 \n", + "6 : 6604 444 85 4 2 1 2 \n", + "7 : 6589 452 87 8 3 1 2 \n", + "8 : 6585 444 101 6 5 1 0 \n", + "9 : 6566 479 82 10 1 4 0 \n", + "10 : 6598 435 96 7 2 4 0 \n", + "11 : 6598 453 78 7 2 2 2 \n", + "12 : 6561 486 84 6 5 0 0 \n", + "13 : 6544 490 101 12 2 1 4 \n", + "\n", + "T : 92094 6459 1238 114 47 26 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.8989e-03 sec\n", + "--- Collate = 5.3887e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.174715e-05 < 1.562500e-03 [8]\n", + "--- Max DT=3.078147e-01 > 1.000000e-01 [72055]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 72055/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=44.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0003477 [ 0.16 %]\n", + "Velocity : 0.00106449 [ 0.48 %]\n", + "Force : 0.0448894 [ 20.18 %]\n", + "Coefs : 0.024714 [ 11.11 %]\n", + "Output : 0.00152496 [ 0.69 %]\n", + "Levels : 0.000410785 [ 0.18 %]\n", + "Report : 1.046e-06 [ 0.00 %]\n", + "Balance : 5.05e-07 [ 0.00 %]\n", + "Adjust : 0.149392 [ 67.15 %]\n", + "Total : 0.222471 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6569 469 86 10 6 0 2 \n", + "1 : 6547 498 79 11 2 3 2 \n", + "2 : 6618 435 78 7 2 1 1 \n", + "3 : 6600 430 99 9 3 1 0 \n", + "4 : 6554 473 97 7 6 4 1 \n", + "5 : 6556 475 88 12 3 3 5 \n", + "6 : 6610 437 84 7 2 0 2 \n", + "7 : 6590 454 85 6 3 3 1 \n", + "8 : 6582 452 96 4 7 1 0 \n", + "9 : 6566 480 81 11 2 2 0 \n", + "10 : 6598 435 95 7 4 1 2 \n", + "11 : 6595 455 79 8 3 1 1 \n", + "12 : 6557 488 84 7 6 0 0 \n", + "13 : 6538 497 99 13 3 3 1 \n", + "\n", + "T : 92080 6478 1230 119 52 23 18 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.9232e-03 sec\n", + "--- Collate = 5.6253e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.305830e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.078274e-01 > 1.000000e-01 [72057]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 72057/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=44.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000501544 [ 0.22 %]\n", + "Velocity : 0.00115421 [ 0.51 %]\n", + "Force : 0.0459108 [ 20.45 %]\n", + "Coefs : 0.0229535 [ 10.23 %]\n", + "Output : 0.00172174 [ 0.77 %]\n", + "Levels : 0.000166871 [ 0.07 %]\n", + "Report : 1.056e-06 [ 0.00 %]\n", + "Balance : 3.66e-07 [ 0.00 %]\n", + "Adjust : 0.151931 [ 67.69 %]\n", + "Total : 0.224464 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6566 471 87 14 2 1 1 \n", + "1 : 6547 498 80 10 2 2 3 \n", + "2 : 6618 433 81 7 1 2 0 \n", + "3 : 6596 435 97 9 4 1 0 \n", + "4 : 6555 471 97 8 6 2 3 \n", + "5 : 6563 469 84 15 5 3 3 \n", + "6 : 6603 446 84 5 1 2 1 \n", + "7 : 6590 451 87 5 6 1 2 \n", + "8 : 6580 456 92 9 3 1 1 \n", + "9 : 6566 482 80 9 3 0 2 \n", + "10 : 6598 436 93 6 6 1 2 \n", + "11 : 6602 447 80 11 0 1 1 \n", + "12 : 6557 487 85 8 3 2 0 \n", + "13 : 6540 495 99 14 4 1 1 \n", + "\n", + "T : 92081 6477 1226 130 46 20 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.8609e-03 sec\n", + "--- Collate = 5.0688e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.116553e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.078351e-01 > 1.000000e-01 [72072]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 72072/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=44.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000355646 [ 0.16 %]\n", + "Velocity : 0.000903542 [ 0.41 %]\n", + "Force : 0.0459893 [ 20.64 %]\n", + "Coefs : 0.0220462 [ 9.90 %]\n", + "Output : 0.00165241 [ 0.74 %]\n", + "Levels : 0.000207138 [ 0.09 %]\n", + "Report : 8.2e-07 [ 0.00 %]\n", + "Balance : 4.13e-07 [ 0.00 %]\n", + "Adjust : 0.151511 [ 68.01 %]\n", + "Total : 0.222788 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6563 476 84 12 5 1 1 \n", + "1 : 6544 501 79 8 6 1 3 \n", + "2 : 6614 438 81 6 2 1 0 \n", + "3 : 6593 441 94 10 3 1 0 \n", + "4 : 6554 471 98 10 3 3 3 \n", + "5 : 6560 473 83 14 8 2 2 \n", + "6 : 6600 447 86 5 1 3 0 \n", + "7 : 6592 450 86 7 5 0 2 \n", + "8 : 6582 453 92 11 0 2 2 \n", + "9 : 6563 482 83 10 1 0 3 \n", + "10 : 6601 431 94 7 6 0 3 \n", + "11 : 6601 445 85 9 0 1 1 \n", + "12 : 6559 484 85 9 2 3 0 \n", + "13 : 6540 496 98 14 4 1 1 \n", + "\n", + "T : 92066 6488 1228 132 46 19 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.2202e-03 sec\n", + "--- Collate = 5.9597e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.613978e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.078376e-01 > 1.000000e-01 [72100]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 72100/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=44.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000326742 [ 0.15 %]\n", + "Velocity : 0.00106375 [ 0.49 %]\n", + "Force : 0.0447942 [ 20.53 %]\n", + "Coefs : 0.0217991 [ 9.99 %]\n", + "Output : 0.00173719 [ 0.80 %]\n", + "Levels : 0.000180666 [ 0.08 %]\n", + "Report : 9.1e-07 [ 0.00 %]\n", + "Balance : 3.4e-07 [ 0.00 %]\n", + "Adjust : 0.148169 [ 67.91 %]\n", + "Total : 0.2182 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6563 474 85 15 2 2 1 \n", + "1 : 6547 497 81 6 6 3 2 \n", + "2 : 6611 440 82 8 0 0 1 \n", + "3 : 6590 443 95 9 2 2 1 \n", + "4 : 6554 466 103 10 2 2 5 \n", + "5 : 6558 473 84 18 5 4 0 \n", + "6 : 6598 449 83 7 4 1 0 \n", + "7 : 6588 455 85 8 3 1 2 \n", + "8 : 6581 456 88 12 1 1 3 \n", + "9 : 6565 481 82 10 0 1 3 \n", + "10 : 6599 433 94 8 4 3 1 \n", + "11 : 6603 439 90 7 1 1 1 \n", + "12 : 6558 483 87 8 3 0 3 \n", + "13 : 6539 499 95 16 2 2 1 \n", + "\n", + "T : 92054 6488 1234 142 35 23 24 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.2129e-03 sec\n", + "--- Collate = 7.4597e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.385898e-05 < 1.562500e-03 [17]\n", + "--- Max DT=3.078351e-01 > 1.000000e-01 [72105]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 72105/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=45] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000391715 [ 0.15 %]\n", + "Velocity : 0.00106951 [ 0.41 %]\n", + "Force : 0.0473088 [ 17.97 %]\n", + "Coefs : 0.0246499 [ 9.36 %]\n", + "Output : 0.0361365 [ 13.73 %]\n", + "Levels : 0.000166892 [ 0.06 %]\n", + "Report : 1.478e-06 [ 0.00 %]\n", + "Balance : 9.53e-07 [ 0.00 %]\n", + "Adjust : 0.153389 [ 58.27 %]\n", + "Total : 0.263247 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6560 475 86 14 4 0 3 \n", + "1 : 6541 508 75 9 3 4 2 \n", + "2 : 6610 442 80 9 0 0 1 \n", + "3 : 6591 439 97 9 2 2 2 \n", + "4 : 6556 462 106 8 3 4 3 \n", + "5 : 6559 470 88 14 7 2 2 \n", + "6 : 6599 444 85 11 2 1 0 \n", + "7 : 6587 456 86 6 3 3 1 \n", + "8 : 6578 459 89 9 3 1 3 \n", + "9 : 6564 484 79 11 0 2 2 \n", + "10 : 6596 434 95 10 4 1 2 \n", + "11 : 6601 442 89 8 0 0 2 \n", + "12 : 6557 484 86 8 3 1 3 \n", + "13 : 6543 494 96 18 1 1 1 \n", + "\n", + "T : 92042 6493 1237 144 35 22 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.8281e-03 sec\n", + "--- Collate = 5.8576e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.072701e-06 < 1.562500e-03 [14]\n", + "--- Max DT=3.078276e-01 > 1.000000e-01 [72110]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 72110/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=45.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0008761 [ 0.37 %]\n", + "Velocity : 0.00277557 [ 1.18 %]\n", + "Force : 0.0481486 [ 20.50 %]\n", + "Coefs : 0.0223462 [ 9.51 %]\n", + "Output : 0.00445146 [ 1.90 %]\n", + "Levels : 0.000254127 [ 0.11 %]\n", + "Report : 7.18e-07 [ 0.00 %]\n", + "Balance : 3.52e-07 [ 0.00 %]\n", + "Adjust : 0.155877 [ 66.36 %]\n", + "Total : 0.234899 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6560 471 91 11 3 4 2 \n", + "1 : 6542 509 72 11 3 1 4 \n", + "2 : 6609 443 78 11 0 0 1 \n", + "3 : 6587 442 98 7 3 3 2 \n", + "4 : 6558 462 105 5 8 2 2 \n", + "5 : 6552 478 89 14 5 2 2 \n", + "6 : 6604 439 85 8 5 1 0 \n", + "7 : 6584 461 84 7 3 2 1 \n", + "8 : 6576 461 91 7 1 4 2 \n", + "9 : 6556 492 80 11 1 1 1 \n", + "10 : 6593 433 99 8 6 2 1 \n", + "11 : 6602 441 89 7 1 1 1 \n", + "12 : 6553 488 87 8 2 0 4 \n", + "13 : 6542 495 99 13 3 1 1 \n", + "\n", + "T : 92018 6515 1247 128 44 24 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.6727e-03 sec\n", + "--- Collate = 5.2620e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.306883e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.078153e-01 > 1.000000e-01 [72123]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 72123/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=45.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000956544 [ 0.39 %]\n", + "Velocity : 0.00245429 [ 1.00 %]\n", + "Force : 0.0479256 [ 19.54 %]\n", + "Coefs : 0.0221462 [ 9.03 %]\n", + "Output : 0.00481486 [ 1.96 %]\n", + "Levels : 0.000325163 [ 0.13 %]\n", + "Report : 2.829e-06 [ 0.00 %]\n", + "Balance : 7.37e-07 [ 0.00 %]\n", + "Adjust : 0.166405 [ 67.86 %]\n", + "Total : 0.24521 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6558 472 91 12 0 6 3 \n", + "1 : 6539 512 71 12 2 1 5 \n", + "2 : 6606 448 78 9 0 0 1 \n", + "3 : 6588 440 98 9 2 3 2 \n", + "4 : 6561 461 103 6 7 4 0 \n", + "5 : 6553 479 87 16 3 1 3 \n", + "6 : 6607 437 85 6 5 1 1 \n", + "7 : 6581 464 83 7 5 1 1 \n", + "8 : 6575 463 93 4 2 2 3 \n", + "9 : 6557 491 80 8 4 1 1 \n", + "10 : 6591 434 99 8 6 2 2 \n", + "11 : 6600 443 88 5 5 0 1 \n", + "12 : 6552 491 85 6 4 3 1 \n", + "13 : 6539 495 101 14 3 1 1 \n", + "\n", + "T : 92007 6530 1242 122 48 26 25 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.1460e-03 sec\n", + "--- Collate = 6.7551e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.198016e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.077981e-01 > 1.000000e-01 [72121]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 72121/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=45.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000473242 [ 0.20 %]\n", + "Velocity : 0.00114127 [ 0.49 %]\n", + "Force : 0.0483256 [ 20.65 %]\n", + "Coefs : 0.0232523 [ 9.94 %]\n", + "Output : 0.00218701 [ 0.93 %]\n", + "Levels : 0.000197634 [ 0.08 %]\n", + "Report : 1.11e-06 [ 0.00 %]\n", + "Balance : 5.51e-07 [ 0.00 %]\n", + "Adjust : 0.15832 [ 67.65 %]\n", + "Total : 0.234038 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6557 473 95 8 1 3 5 \n", + "1 : 6535 517 70 11 3 2 4 \n", + "2 : 6604 447 82 8 0 0 1 \n", + "3 : 6583 446 94 12 4 1 2 \n", + "4 : 6558 464 103 6 8 2 1 \n", + "5 : 6554 475 93 14 1 4 1 \n", + "6 : 6606 440 82 6 5 2 1 \n", + "7 : 6575 469 85 6 5 1 1 \n", + "8 : 6577 458 95 4 4 2 2 \n", + "9 : 6555 492 80 9 5 1 0 \n", + "10 : 6587 437 100 9 4 3 2 \n", + "11 : 6599 445 86 6 3 3 0 \n", + "12 : 6553 490 84 7 5 2 1 \n", + "13 : 6536 498 101 14 2 2 1 \n", + "\n", + "T : 91979 6551 1250 120 50 28 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.1091e-03 sec\n", + "--- Collate = 6.0576e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.047919e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.077761e-01 > 1.000000e-01 [72133]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 72133/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=45.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000430176 [ 0.19 %]\n", + "Velocity : 0.00113421 [ 0.50 %]\n", + "Force : 0.0467833 [ 20.81 %]\n", + "Coefs : 0.0223141 [ 9.92 %]\n", + "Output : 0.00190975 [ 0.85 %]\n", + "Levels : 0.000252196 [ 0.11 %]\n", + "Report : 1.065e-06 [ 0.00 %]\n", + "Balance : 4.84e-07 [ 0.00 %]\n", + "Adjust : 0.151876 [ 67.55 %]\n", + "Total : 0.224841 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6555 474 93 11 2 1 6 \n", + "1 : 6534 516 72 12 3 3 2 \n", + "2 : 6602 450 80 8 1 0 1 \n", + "3 : 6580 450 92 11 6 1 2 \n", + "4 : 6555 465 104 6 5 6 1 \n", + "5 : 6550 479 95 13 2 1 2 \n", + "6 : 6600 445 82 6 5 3 1 \n", + "7 : 6576 469 85 7 3 2 0 \n", + "8 : 6578 457 95 4 6 0 2 \n", + "9 : 6555 497 74 10 3 3 0 \n", + "10 : 6586 437 101 11 2 2 3 \n", + "11 : 6600 443 87 7 1 2 2 \n", + "12 : 6552 491 84 7 4 4 0 \n", + "13 : 6537 499 104 9 2 3 0 \n", + "\n", + "T : 91960 6572 1248 122 45 31 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.0872e-03 sec\n", + "--- Collate = 6.1835e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.343250e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.077494e-01 > 1.000000e-01 [72105]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 72105/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=45.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000439514 [ 0.19 %]\n", + "Velocity : 0.00107241 [ 0.47 %]\n", + "Force : 0.0477693 [ 21.09 %]\n", + "Coefs : 0.0224192 [ 9.90 %]\n", + "Output : 0.00199209 [ 0.88 %]\n", + "Levels : 0.000197463 [ 0.09 %]\n", + "Report : 8.94e-07 [ 0.00 %]\n", + "Balance : 2.73e-07 [ 0.00 %]\n", + "Adjust : 0.152492 [ 67.32 %]\n", + "Total : 0.226518 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6553 475 94 9 5 2 4 \n", + "1 : 6532 518 72 11 4 3 2 \n", + "2 : 6598 454 80 6 3 1 0 \n", + "3 : 6580 450 93 10 7 1 1 \n", + "4 : 6554 463 106 6 5 4 4 \n", + "5 : 6549 477 102 8 4 1 1 \n", + "6 : 6600 448 76 10 4 3 1 \n", + "7 : 6574 471 85 10 0 1 1 \n", + "8 : 6573 463 95 5 3 3 0 \n", + "9 : 6558 488 78 14 1 1 2 \n", + "10 : 6582 439 102 10 4 2 3 \n", + "11 : 6600 442 88 7 1 0 4 \n", + "12 : 6548 492 87 8 4 1 2 \n", + "13 : 6538 497 105 9 1 2 2 \n", + "\n", + "T : 91939 6577 1263 123 46 25 27 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.1092e-03 sec\n", + "--- Collate = 8.4480e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.189846e-05 < 1.562500e-03 [18]\n", + "--- Max DT=3.077180e-01 > 1.000000e-01 [72110]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 72110/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=45.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000392589 [ 0.17 %]\n", + "Velocity : 0.00143739 [ 0.63 %]\n", + "Force : 0.0468869 [ 20.50 %]\n", + "Coefs : 0.0227812 [ 9.96 %]\n", + "Output : 0.00234207 [ 1.02 %]\n", + "Levels : 0.000313276 [ 0.14 %]\n", + "Report : 1.447e-06 [ 0.00 %]\n", + "Balance : 6.07e-07 [ 0.00 %]\n", + "Adjust : 0.154403 [ 67.51 %]\n", + "Total : 0.228709 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6550 476 96 11 4 4 1 \n", + "1 : 6527 525 71 10 7 1 1 \n", + "2 : 6592 460 79 6 3 2 0 \n", + "3 : 6577 454 90 13 7 1 0 \n", + "4 : 6552 465 104 8 2 6 5 \n", + "5 : 6553 474 101 7 5 1 1 \n", + "6 : 6601 447 76 12 3 1 2 \n", + "7 : 6570 477 82 9 2 0 2 \n", + "8 : 6569 465 96 6 4 2 0 \n", + "9 : 6557 488 80 12 1 1 3 \n", + "10 : 6584 436 107 7 3 2 3 \n", + "11 : 6599 447 85 6 1 0 4 \n", + "12 : 6555 482 89 12 1 0 3 \n", + "13 : 6529 506 106 9 0 0 4 \n", + "\n", + "T : 91915 6602 1262 128 43 21 29 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.1263e-03 sec\n", + "--- Collate = 6.0190e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.119095e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.076822e-01 > 1.000000e-01 [72108]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 72108/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=45.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000500986 [ 0.21 %]\n", + "Velocity : 0.00168241 [ 0.71 %]\n", + "Force : 0.0479907 [ 20.18 %]\n", + "Coefs : 0.0227364 [ 9.56 %]\n", + "Output : 0.00304819 [ 1.28 %]\n", + "Levels : 0.00022871 [ 0.10 %]\n", + "Report : 8.13e-07 [ 0.00 %]\n", + "Balance : 4.94e-07 [ 0.00 %]\n", + "Adjust : 0.161499 [ 67.90 %]\n", + "Total : 0.237849 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6552 476 93 14 5 2 0 \n", + "1 : 6527 522 77 10 4 1 1 \n", + "2 : 6595 457 80 4 5 0 1 \n", + "3 : 6573 452 97 16 4 0 0 \n", + "4 : 6554 462 105 8 2 4 7 \n", + "5 : 6550 475 102 10 4 1 0 \n", + "6 : 6601 450 74 9 4 1 3 \n", + "7 : 6573 471 85 9 2 0 2 \n", + "8 : 6567 467 98 7 2 0 1 \n", + "9 : 6558 486 81 11 2 0 4 \n", + "10 : 6585 436 107 6 4 1 3 \n", + "11 : 6598 449 83 8 0 2 2 \n", + "12 : 6552 485 93 7 2 0 3 \n", + "13 : 6528 504 108 8 2 0 4 \n", + "\n", + "T : 91913 6592 1283 127 42 12 31 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.1548e-03 sec\n", + "--- Collate = 6.2540e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.738271e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.076417e-01 > 1.000000e-01 [72107]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 72107/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=45.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000409073 [ 0.18 %]\n", + "Velocity : 0.000975126 [ 0.43 %]\n", + "Force : 0.0476648 [ 20.92 %]\n", + "Coefs : 0.0239382 [ 10.50 %]\n", + "Output : 0.00185007 [ 0.81 %]\n", + "Levels : 0.000186915 [ 0.08 %]\n", + "Report : 9.74e-07 [ 0.00 %]\n", + "Balance : 4.74e-07 [ 0.00 %]\n", + "Adjust : 0.152723 [ 67.01 %]\n", + "Total : 0.227893 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6554 473 95 13 5 2 0 \n", + "1 : 6523 525 79 11 2 1 1 \n", + "2 : 6592 458 81 5 5 0 1 \n", + "3 : 6568 458 98 13 5 0 0 \n", + "4 : 6554 464 103 8 5 2 6 \n", + "5 : 6550 476 102 10 2 2 0 \n", + "6 : 6597 456 73 10 2 2 2 \n", + "7 : 6573 474 81 8 4 2 0 \n", + "8 : 6565 470 95 8 3 0 1 \n", + "9 : 6555 488 82 10 3 2 2 \n", + "10 : 6581 442 105 4 6 3 1 \n", + "11 : 6600 446 83 9 1 2 1 \n", + "12 : 6556 484 88 9 2 1 2 \n", + "13 : 6529 501 107 8 5 3 1 \n", + "\n", + "T : 91897 6615 1272 126 50 22 18 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.1136e-03 sec\n", + "--- Collate = 5.8631e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.950918e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.077470e-01 > 1.000000e-01 [72114]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 72114/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=45.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00038801 [ 0.17 %]\n", + "Velocity : 0.00100929 [ 0.44 %]\n", + "Force : 0.0470942 [ 20.74 %]\n", + "Coefs : 0.0227999 [ 10.04 %]\n", + "Output : 0.00176642 [ 0.78 %]\n", + "Levels : 0.000229641 [ 0.10 %]\n", + "Report : 1.02e-06 [ 0.00 %]\n", + "Balance : 3.61e-07 [ 0.00 %]\n", + "Adjust : 0.153597 [ 67.66 %]\n", + "Total : 0.22702 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6549 476 94 18 3 1 1 \n", + "1 : 6522 525 81 9 0 4 1 \n", + "2 : 6594 455 81 5 5 1 1 \n", + "3 : 6568 459 97 11 7 0 0 \n", + "4 : 6550 466 105 8 7 1 5 \n", + "5 : 6548 475 103 13 1 1 1 \n", + "6 : 6595 456 73 13 1 3 1 \n", + "7 : 6573 475 81 6 4 3 0 \n", + "8 : 6557 476 97 7 3 1 1 \n", + "9 : 6555 486 85 7 5 3 1 \n", + "10 : 6580 442 106 5 8 0 1 \n", + "11 : 6602 444 83 8 4 1 0 \n", + "12 : 6556 484 89 6 4 2 1 \n", + "13 : 6527 503 106 9 6 3 0 \n", + "\n", + "T : 91876 6622 1281 125 58 24 14 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.0878e-03 sec\n", + "--- Collate = 5.7856e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.024518e-05 < 1.562500e-03 [5]\n", + "--- Max DT=3.078754e-01 > 1.000000e-01 [72109]\n", + "----------------------------------------------------------------------\n", + " Component | low: 5/100000\n", + " Component | high: 72109/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=46] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000406917 [ 0.16 %]\n", + "Velocity : 0.00105675 [ 0.40 %]\n", + "Force : 0.0471928 [ 18.00 %]\n", + "Coefs : 0.0226682 [ 8.65 %]\n", + "Output : 0.0322222 [ 12.29 %]\n", + "Levels : 0.000184528 [ 0.07 %]\n", + "Report : 1.097e-06 [ 0.00 %]\n", + "Balance : 8.72e-07 [ 0.00 %]\n", + "Adjust : 0.15825 [ 60.37 %]\n", + "Total : 0.262132 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6548 475 97 18 2 0 2 \n", + "1 : 6523 523 83 7 2 2 2 \n", + "2 : 6587 461 80 8 3 3 0 \n", + "3 : 6565 461 100 9 6 1 0 \n", + "4 : 6551 465 106 6 8 2 4 \n", + "5 : 6549 476 101 12 2 1 1 \n", + "6 : 6593 455 77 9 4 2 2 \n", + "7 : 6572 473 85 6 5 0 1 \n", + "8 : 6554 478 98 7 2 3 0 \n", + "9 : 6554 491 79 8 7 2 1 \n", + "10 : 6578 444 106 7 5 1 1 \n", + "11 : 6602 444 83 8 5 0 0 \n", + "12 : 6550 491 86 7 5 1 2 \n", + "13 : 6530 497 110 8 7 1 1 \n", + "\n", + "T : 91856 6634 1291 120 63 19 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.8886e-03 sec\n", + "--- Collate = 5.9322e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.936767e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.080002e-01 > 1.000000e-01 [72105]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 72105/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=46.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00086653 [ 0.36 %]\n", + "Velocity : 0.00267347 [ 1.12 %]\n", + "Force : 0.0476685 [ 19.99 %]\n", + "Coefs : 0.0214071 [ 8.98 %]\n", + "Output : 0.00461503 [ 1.94 %]\n", + "Levels : 0.000271505 [ 0.11 %]\n", + "Report : 4.83e-07 [ 0.00 %]\n", + "Balance : 3.75e-07 [ 0.00 %]\n", + "Adjust : 0.160813 [ 67.43 %]\n", + "Total : 0.23849 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6551 474 96 17 2 1 1 \n", + "1 : 6522 522 84 8 2 1 3 \n", + "2 : 6584 462 82 7 3 4 0 \n", + "3 : 6562 465 99 9 4 3 0 \n", + "4 : 6550 470 101 9 5 5 2 \n", + "5 : 6549 477 100 13 1 0 2 \n", + "6 : 6596 454 74 11 4 1 2 \n", + "7 : 6573 471 86 6 4 1 1 \n", + "8 : 6551 480 99 5 4 1 2 \n", + "9 : 6557 486 79 11 6 2 1 \n", + "10 : 6578 446 102 8 6 0 2 \n", + "11 : 6602 445 82 10 2 1 0 \n", + "12 : 6547 494 85 9 4 1 2 \n", + "13 : 6527 499 110 12 3 1 2 \n", + "\n", + "T : 91849 6645 1279 135 50 22 20 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.8176e-03 sec\n", + "--- Collate = 7.5883e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.852456e-04 < 1.562500e-03 [11]\n", + "--- Max DT=3.081213e-01 > 1.000000e-01 [72123]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 72123/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=46.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000979395 [ 0.41 %]\n", + "Velocity : 0.00236385 [ 0.99 %]\n", + "Force : 0.0474881 [ 19.96 %]\n", + "Coefs : 0.0214582 [ 9.02 %]\n", + "Output : 0.00462549 [ 1.94 %]\n", + "Levels : 0.000260713 [ 0.11 %]\n", + "Report : 7.98e-07 [ 0.00 %]\n", + "Balance : 4.1e-07 [ 0.00 %]\n", + "Adjust : 0.160611 [ 67.50 %]\n", + "Total : 0.23796 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6549 475 97 17 0 3 1 \n", + "1 : 6524 519 84 10 1 1 3 \n", + "2 : 6587 460 79 10 2 3 1 \n", + "3 : 6561 468 96 9 4 2 2 \n", + "4 : 6550 470 100 11 3 6 2 \n", + "5 : 6552 476 98 13 1 1 1 \n", + "6 : 6595 454 74 11 5 0 3 \n", + "7 : 6573 471 87 6 3 2 0 \n", + "8 : 6551 479 100 6 3 1 2 \n", + "9 : 6551 492 80 13 2 2 2 \n", + "10 : 6579 445 101 10 3 2 2 \n", + "11 : 6598 448 85 10 0 0 1 \n", + "12 : 6547 490 88 10 2 3 2 \n", + "13 : 6527 500 109 11 3 2 2 \n", + "\n", + "T : 91844 6647 1278 147 32 28 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.8126e-03 sec\n", + "--- Collate = 6.0364e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.544921e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.082390e-01 > 1.000000e-01 [72118]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 72118/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=46.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000962045 [ 0.38 %]\n", + "Velocity : 0.00236379 [ 0.94 %]\n", + "Force : 0.0500146 [ 19.99 %]\n", + "Coefs : 0.0231577 [ 9.26 %]\n", + "Output : 0.00479246 [ 1.92 %]\n", + "Levels : 0.00030908 [ 0.12 %]\n", + "Report : 7.91e-07 [ 0.00 %]\n", + "Balance : 3.86e-07 [ 0.00 %]\n", + "Adjust : 0.16837 [ 67.31 %]\n", + "Total : 0.250156 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6547 473 104 13 2 1 2 \n", + "1 : 6522 518 86 11 2 1 2 \n", + "2 : 6581 466 78 10 2 3 2 \n", + "3 : 6559 468 98 10 4 1 2 \n", + "4 : 6545 475 101 10 4 3 4 \n", + "5 : 6550 477 100 11 1 2 1 \n", + "6 : 6593 458 74 9 3 4 1 \n", + "7 : 6577 469 84 7 3 1 1 \n", + "8 : 6551 479 101 4 3 1 3 \n", + "9 : 6550 495 76 14 3 0 4 \n", + "10 : 6579 447 97 13 2 1 3 \n", + "11 : 6596 449 85 11 0 0 1 \n", + "12 : 6547 490 89 7 3 5 1 \n", + "13 : 6523 501 112 11 3 1 3 \n", + "\n", + "T : 91820 6665 1285 141 35 24 30 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.8192e-03 sec\n", + "--- Collate = 5.8972e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.134337e-05 < 1.562500e-03 [19]\n", + "--- Max DT=3.083528e-01 > 1.000000e-01 [72120]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 72120/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=46.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000952919 [ 0.40 %]\n", + "Velocity : 0.00236539 [ 1.00 %]\n", + "Force : 0.04763 [ 20.06 %]\n", + "Coefs : 0.0214902 [ 9.05 %]\n", + "Output : 0.00457595 [ 1.93 %]\n", + "Levels : 0.00026431 [ 0.11 %]\n", + "Report : 4.39e-07 [ 0.00 %]\n", + "Balance : 3.6e-07 [ 0.00 %]\n", + "Adjust : 0.160032 [ 67.39 %]\n", + "Total : 0.237484 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6548 470 109 10 3 0 2 \n", + "1 : 6522 520 83 13 1 2 1 \n", + "2 : 6583 464 79 8 2 2 4 \n", + "3 : 6559 467 101 10 2 0 3 \n", + "4 : 6550 469 104 9 4 1 5 \n", + "5 : 6548 479 100 11 2 2 0 \n", + "6 : 6591 460 74 10 2 1 4 \n", + "7 : 6576 469 84 8 4 0 1 \n", + "8 : 6553 477 101 6 1 1 3 \n", + "9 : 6552 493 75 12 4 3 3 \n", + "10 : 6579 445 97 14 3 2 2 \n", + "11 : 6598 448 83 11 1 0 1 \n", + "12 : 6548 490 88 8 4 1 3 \n", + "13 : 6526 500 111 11 1 3 2 \n", + "\n", + "T : 91833 6651 1289 141 34 18 34 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.7186e-03 sec\n", + "--- Collate = 8.1363e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.181292e-04 < 1.562500e-03 [15]\n", + "--- Max DT=3.084631e-01 > 1.000000e-01 [72117]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 72117/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=46.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00093111 [ 0.38 %]\n", + "Velocity : 0.0020293 [ 0.82 %]\n", + "Force : 0.0496922 [ 20.11 %]\n", + "Coefs : 0.0223179 [ 9.03 %]\n", + "Output : 0.00463435 [ 1.88 %]\n", + "Levels : 0.000245041 [ 0.10 %]\n", + "Report : 6.35e-07 [ 0.00 %]\n", + "Balance : 3.69e-07 [ 0.00 %]\n", + "Adjust : 0.167016 [ 67.60 %]\n", + "Total : 0.247049 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6546 471 108 11 3 1 2 \n", + "1 : 6523 518 84 11 3 2 1 \n", + "2 : 6577 472 76 8 3 2 4 \n", + "3 : 6552 473 96 15 3 2 1 \n", + "4 : 6552 464 107 8 6 1 4 \n", + "5 : 6540 489 95 16 1 0 1 \n", + "6 : 6594 455 76 11 1 2 3 \n", + "7 : 6571 472 86 8 2 2 1 \n", + "8 : 6551 481 95 9 3 0 3 \n", + "9 : 6552 495 72 13 5 3 2 \n", + "10 : 6582 443 95 16 2 2 2 \n", + "11 : 6595 451 83 11 1 1 0 \n", + "12 : 6544 493 88 9 5 0 3 \n", + "13 : 6524 505 111 7 3 1 3 \n", + "\n", + "T : 91803 6682 1272 153 41 19 30 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.7176e-03 sec\n", + "--- Collate = 5.7891e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.779073e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.085696e-01 > 1.000000e-01 [72113]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 72113/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=46.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00095137 [ 0.40 %]\n", + "Velocity : 0.00232707 [ 0.99 %]\n", + "Force : 0.0474927 [ 20.20 %]\n", + "Coefs : 0.0217198 [ 9.24 %]\n", + "Output : 0.00446968 [ 1.90 %]\n", + "Levels : 0.000300843 [ 0.13 %]\n", + "Report : 6.51e-07 [ 0.00 %]\n", + "Balance : 3.83e-07 [ 0.00 %]\n", + "Adjust : 0.157653 [ 67.06 %]\n", + "Total : 0.235092 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6550 468 107 11 2 3 1 \n", + "1 : 6530 510 84 11 5 1 1 \n", + "2 : 6576 473 75 9 1 4 4 \n", + "3 : 6554 471 96 13 4 3 1 \n", + "4 : 6553 463 108 8 6 3 1 \n", + "5 : 6540 488 97 15 0 1 1 \n", + "6 : 6596 453 78 7 4 1 3 \n", + "7 : 6569 474 85 9 2 3 0 \n", + "8 : 6549 484 95 8 1 3 2 \n", + "9 : 6546 500 76 8 7 4 1 \n", + "10 : 6581 443 97 15 2 2 2 \n", + "11 : 6591 456 80 13 0 2 0 \n", + "12 : 6540 497 87 9 4 3 2 \n", + "13 : 6527 502 113 6 3 2 1 \n", + "\n", + "T : 91802 6682 1278 142 41 35 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.7697e-03 sec\n", + "--- Collate = 5.7011e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.690137e-06 < 1.562500e-03 [7]\n", + "--- Max DT=3.086722e-01 > 1.000000e-01 [72110]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 72110/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=46.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000940105 [ 0.40 %]\n", + "Velocity : 0.00232294 [ 0.98 %]\n", + "Force : 0.0481366 [ 20.37 %]\n", + "Coefs : 0.0226012 [ 9.56 %]\n", + "Output : 0.00442572 [ 1.87 %]\n", + "Levels : 0.000234171 [ 0.10 %]\n", + "Report : 6.42e-07 [ 0.00 %]\n", + "Balance : 3.66e-07 [ 0.00 %]\n", + "Adjust : 0.157523 [ 66.65 %]\n", + "Total : 0.236357 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6547 472 106 12 2 1 2 \n", + "1 : 6525 513 86 12 3 2 1 \n", + "2 : 6579 472 73 9 3 2 4 \n", + "3 : 6555 468 98 13 7 1 0 \n", + "4 : 6552 465 106 11 5 3 0 \n", + "5 : 6537 493 93 15 2 0 2 \n", + "6 : 6595 456 71 12 3 4 1 \n", + "7 : 6569 476 82 10 4 0 1 \n", + "8 : 6554 481 93 10 0 3 1 \n", + "9 : 6549 496 77 7 7 3 3 \n", + "10 : 6581 442 97 15 4 1 2 \n", + "11 : 6593 455 79 12 2 0 1 \n", + "12 : 6545 492 86 11 2 6 0 \n", + "13 : 6526 507 106 7 5 2 1 \n", + "\n", + "T : 91807 6688 1253 156 49 28 19 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.7664e-03 sec\n", + "--- Collate = 6.4001e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.914974e-06 < 1.562500e-03 [12]\n", + "--- Max DT=3.087711e-01 > 1.000000e-01 [72113]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 72113/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=46.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000942151 [ 0.42 %]\n", + "Velocity : 0.00225411 [ 0.99 %]\n", + "Force : 0.04594 [ 20.28 %]\n", + "Coefs : 0.0215809 [ 9.52 %]\n", + "Output : 0.00421108 [ 1.86 %]\n", + "Levels : 0.000224395 [ 0.10 %]\n", + "Report : 6.33e-07 [ 0.00 %]\n", + "Balance : 4.01e-07 [ 0.00 %]\n", + "Adjust : 0.151265 [ 66.76 %]\n", + "Total : 0.226584 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6543 475 108 10 3 1 2 \n", + "1 : 6525 512 86 11 4 3 1 \n", + "2 : 6574 476 75 7 3 4 3 \n", + "3 : 6553 471 98 13 7 0 0 \n", + "4 : 6553 462 109 8 6 3 1 \n", + "5 : 6538 492 91 15 4 1 1 \n", + "6 : 6595 455 73 11 5 3 0 \n", + "7 : 6576 471 82 11 1 0 1 \n", + "8 : 6552 483 90 12 1 2 2 \n", + "9 : 6545 500 77 8 5 3 4 \n", + "10 : 6580 445 97 12 6 1 1 \n", + "11 : 6589 459 78 12 3 0 1 \n", + "12 : 6544 491 87 12 4 2 2 \n", + "13 : 6526 504 107 9 5 3 0 \n", + "\n", + "T : 91793 6696 1258 151 57 26 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.7846e-03 sec\n", + "--- Collate = 6.0466e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.682162e-04 < 1.562500e-03 [13]\n", + "--- Max DT=3.088662e-01 > 1.000000e-01 [72095]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 72095/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=46.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000926387 [ 0.39 %]\n", + "Velocity : 0.00223514 [ 0.95 %]\n", + "Force : 0.047186 [ 19.95 %]\n", + "Coefs : 0.0224839 [ 9.51 %]\n", + "Output : 0.00446462 [ 1.89 %]\n", + "Levels : 0.000232478 [ 0.10 %]\n", + "Report : 6.55e-07 [ 0.00 %]\n", + "Balance : 4e-07 [ 0.00 %]\n", + "Adjust : 0.158792 [ 67.14 %]\n", + "Total : 0.236497 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6536 485 106 8 3 2 2 \n", + "1 : 6524 511 88 11 3 3 2 \n", + "2 : 6573 482 68 8 6 1 4 \n", + "3 : 6556 467 100 11 7 1 0 \n", + "4 : 6551 466 105 11 5 0 4 \n", + "5 : 6537 494 87 17 4 1 2 \n", + "6 : 6596 453 71 13 4 3 2 \n", + "7 : 6576 472 81 11 0 1 1 \n", + "8 : 6552 484 88 13 2 0 3 \n", + "9 : 6544 502 77 9 2 2 6 \n", + "10 : 6575 452 96 11 7 1 0 \n", + "11 : 6589 458 79 12 2 1 1 \n", + "12 : 6541 492 90 11 3 2 3 \n", + "13 : 6523 509 105 11 2 3 1 \n", + "\n", + "T : 91773 6727 1241 157 50 21 31 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.4306e-03 sec\n", + "--- Collate = 4.6603e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.034268e-06 < 1.562500e-03 [20]\n", + "--- Max DT=3.089577e-01 > 1.000000e-01 [72103]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 72103/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=47] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000959097 [ 0.36 %]\n", + "Velocity : 0.00225417 [ 0.85 %]\n", + "Force : 0.0490654 [ 18.43 %]\n", + "Coefs : 0.0217888 [ 8.18 %]\n", + "Output : 0.0358258 [ 13.45 %]\n", + "Levels : 0.000300468 [ 0.11 %]\n", + "Report : 1.374e-06 [ 0.00 %]\n", + "Balance : 8.65e-07 [ 0.00 %]\n", + "Adjust : 0.155893 [ 58.55 %]\n", + "Total : 0.266267 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6537 489 100 9 4 1 2 \n", + "1 : 6526 513 83 13 1 3 3 \n", + "2 : 6574 480 69 9 5 3 2 \n", + "3 : 6558 467 97 12 6 2 0 \n", + "4 : 6548 468 108 12 2 0 4 \n", + "5 : 6533 499 86 15 5 2 2 \n", + "6 : 6591 456 75 9 6 1 4 \n", + "7 : 6577 477 76 9 1 2 0 \n", + "8 : 6550 489 87 10 3 1 2 \n", + "9 : 6545 503 76 9 2 2 5 \n", + "10 : 6572 458 93 15 4 0 0 \n", + "11 : 6591 456 80 11 2 2 0 \n", + "12 : 6541 493 90 12 1 0 5 \n", + "13 : 6518 514 104 13 2 2 1 \n", + "\n", + "T : 91761 6762 1224 158 44 21 30 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.8694e-03 sec\n", + "--- Collate = 5.7554e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.907995e-04 < 1.562500e-03 [15]\n", + "--- Max DT=3.090457e-01 > 1.000000e-01 [72095]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 72095/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=47.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00060594 [ 0.26 %]\n", + "Velocity : 0.00259102 [ 1.11 %]\n", + "Force : 0.0466228 [ 20.05 %]\n", + "Coefs : 0.0217084 [ 9.34 %]\n", + "Output : 0.00445122 [ 1.91 %]\n", + "Levels : 0.000257691 [ 0.11 %]\n", + "Report : 7.01e-07 [ 0.00 %]\n", + "Balance : 3.76e-07 [ 0.00 %]\n", + "Adjust : 0.156093 [ 67.14 %]\n", + "Total : 0.232505 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6538 487 102 8 5 0 2 \n", + "1 : 6528 512 82 13 2 0 5 \n", + "2 : 6571 481 70 11 4 3 2 \n", + "3 : 6560 464 98 11 6 2 1 \n", + "4 : 6548 467 110 10 3 1 3 \n", + "5 : 6539 495 87 10 6 2 3 \n", + "6 : 6589 456 77 10 5 1 4 \n", + "7 : 6571 481 79 7 2 1 1 \n", + "8 : 6545 497 82 12 3 2 1 \n", + "9 : 6544 507 75 8 1 3 4 \n", + "10 : 6571 458 95 16 2 0 0 \n", + "11 : 6592 455 79 12 1 2 1 \n", + "12 : 6538 494 92 12 0 4 2 \n", + "13 : 6519 511 107 12 3 0 2 \n", + "\n", + "T : 91753 6765 1235 152 43 21 31 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.4761e-03 sec\n", + "--- Collate = 5.0321e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.989378e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.091300e-01 > 1.000000e-01 [72085]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 72085/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=47.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000916812 [ 0.39 %]\n", + "Velocity : 0.0022034 [ 0.94 %]\n", + "Force : 0.0472019 [ 20.21 %]\n", + "Coefs : 0.021331 [ 9.13 %]\n", + "Output : 0.00438884 [ 1.88 %]\n", + "Levels : 0.00024376 [ 0.10 %]\n", + "Report : 6.03e-07 [ 0.00 %]\n", + "Balance : 3.85e-07 [ 0.00 %]\n", + "Adjust : 0.157081 [ 67.27 %]\n", + "Total : 0.233525 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6533 490 105 8 2 3 1 \n", + "1 : 6526 513 84 12 2 2 3 \n", + "2 : 6573 480 68 12 6 2 1 \n", + "3 : 6556 469 97 13 2 2 3 \n", + "4 : 6543 477 103 12 3 4 0 \n", + "5 : 6542 493 87 8 6 4 2 \n", + "6 : 6587 458 77 12 3 3 2 \n", + "7 : 6572 480 80 5 2 2 1 \n", + "8 : 6547 497 79 10 8 1 0 \n", + "9 : 6537 512 73 13 3 2 2 \n", + "10 : 6570 457 97 16 2 0 0 \n", + "11 : 6587 460 83 7 2 2 1 \n", + "12 : 6542 487 96 10 4 2 1 \n", + "13 : 6517 512 106 15 1 2 1 \n", + "\n", + "T : 91732 6785 1235 153 46 31 18 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.0308e-03 sec\n", + "--- Collate = 6.0979e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.915852e-06 < 1.562500e-03 [7]\n", + "--- Max DT=3.092106e-01 > 1.000000e-01 [72068]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 72068/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=47.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000867171 [ 0.36 %]\n", + "Velocity : 0.00218424 [ 0.91 %]\n", + "Force : 0.0470931 [ 19.57 %]\n", + "Coefs : 0.0212757 [ 8.84 %]\n", + "Output : 0.00444127 [ 1.85 %]\n", + "Levels : 0.000240947 [ 0.10 %]\n", + "Report : 7e-07 [ 0.00 %]\n", + "Balance : 3.46e-07 [ 0.00 %]\n", + "Adjust : 0.16437 [ 68.31 %]\n", + "Total : 0.24064 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6530 490 107 11 0 3 1 \n", + "1 : 6524 513 87 13 2 1 2 \n", + "2 : 6569 485 66 13 7 1 1 \n", + "3 : 6561 463 99 12 2 1 4 \n", + "4 : 6541 479 103 10 5 3 1 \n", + "5 : 6543 494 84 8 7 2 4 \n", + "6 : 6586 457 79 13 2 4 1 \n", + "7 : 6574 478 80 4 4 0 2 \n", + "8 : 6542 501 80 10 8 1 0 \n", + "9 : 6541 512 68 14 3 2 2 \n", + "10 : 6569 457 95 20 1 0 0 \n", + "11 : 6579 469 82 7 2 2 1 \n", + "12 : 6547 480 97 10 4 2 2 \n", + "13 : 6520 507 107 15 2 2 1 \n", + "\n", + "T : 91726 6785 1234 160 49 24 22 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.8376e-03 sec\n", + "--- Collate = 7.2530e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.357342e-04 < 1.562500e-03 [12]\n", + "--- Max DT=3.092873e-01 > 1.000000e-01 [72056]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 72056/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=47.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000957505 [ 0.39 %]\n", + "Velocity : 0.00238733 [ 0.97 %]\n", + "Force : 0.0483255 [ 19.69 %]\n", + "Coefs : 0.0222986 [ 9.09 %]\n", + "Output : 0.00468033 [ 1.91 %]\n", + "Levels : 0.000286529 [ 0.12 %]\n", + "Report : 6.48e-07 [ 0.00 %]\n", + "Balance : 3.35e-07 [ 0.00 %]\n", + "Adjust : 0.166327 [ 67.77 %]\n", + "Total : 0.245442 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6524 498 107 9 2 0 2 \n", + "1 : 6526 513 86 12 3 2 0 \n", + "2 : 6572 481 71 12 3 2 1 \n", + "3 : 6561 464 97 14 1 1 4 \n", + "4 : 6538 482 103 10 5 1 3 \n", + "5 : 6543 492 87 10 4 3 3 \n", + "6 : 6587 452 83 13 3 3 1 \n", + "7 : 6575 475 83 4 2 1 2 \n", + "8 : 6541 503 79 13 3 3 0 \n", + "9 : 6537 516 71 9 7 1 1 \n", + "10 : 6565 460 96 20 0 1 0 \n", + "11 : 6577 468 84 7 4 1 1 \n", + "12 : 6541 489 95 9 3 2 3 \n", + "13 : 6529 498 106 16 2 2 1 \n", + "\n", + "T : 91716 6791 1248 158 42 23 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.9424e-03 sec\n", + "--- Collate = 6.7482e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.421281e-06 < 1.562500e-03 [13]\n", + "--- Max DT=3.093599e-01 > 1.000000e-01 [72064]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 72064/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=47.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000952839 [ 0.40 %]\n", + "Velocity : 0.00235645 [ 0.98 %]\n", + "Force : 0.0478318 [ 19.99 %]\n", + "Coefs : 0.0215447 [ 9.00 %]\n", + "Output : 0.00453293 [ 1.89 %]\n", + "Levels : 0.000320774 [ 0.13 %]\n", + "Report : 4.55e-07 [ 0.00 %]\n", + "Balance : 3.51e-07 [ 0.00 %]\n", + "Adjust : 0.16156 [ 67.52 %]\n", + "Total : 0.239289 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6522 499 108 10 1 0 2 \n", + "1 : 6524 517 83 15 2 1 0 \n", + "2 : 6578 475 73 10 4 2 0 \n", + "3 : 6561 463 102 10 2 2 2 \n", + "4 : 6532 492 98 11 3 2 4 \n", + "5 : 6542 492 90 8 5 2 3 \n", + "6 : 6586 451 86 12 4 2 1 \n", + "7 : 6576 473 85 3 2 1 2 \n", + "8 : 6546 501 77 11 3 2 2 \n", + "9 : 6535 518 70 11 6 2 0 \n", + "10 : 6565 460 95 19 2 1 0 \n", + "11 : 6575 468 86 8 2 2 1 \n", + "12 : 6542 489 94 10 1 3 3 \n", + "13 : 6528 498 108 14 4 1 1 \n", + "\n", + "T : 91712 6796 1255 152 41 23 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.0373e-03 sec\n", + "--- Collate = 5.4870e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.828609e-05 < 1.562500e-03 [7]\n", + "--- Max DT=3.094866e-01 > 1.000000e-01 [72045]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 72045/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=47.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00139491 [ 0.57 %]\n", + "Velocity : 0.00230782 [ 0.94 %]\n", + "Force : 0.0500412 [ 20.43 %]\n", + "Coefs : 0.0216303 [ 8.83 %]\n", + "Output : 0.00459348 [ 1.88 %]\n", + "Levels : 0.000281805 [ 0.12 %]\n", + "Report : 6.86e-07 [ 0.00 %]\n", + "Balance : 3.21e-07 [ 0.00 %]\n", + "Adjust : 0.16451 [ 67.17 %]\n", + "Total : 0.244925 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6518 502 111 8 1 1 1 \n", + "1 : 6523 518 83 16 2 0 0 \n", + "2 : 6575 481 69 12 3 1 1 \n", + "3 : 6564 462 98 10 6 1 1 \n", + "4 : 6526 499 95 13 2 3 4 \n", + "5 : 6538 494 91 8 7 4 0 \n", + "6 : 6583 455 85 11 5 2 1 \n", + "7 : 6582 465 86 4 3 1 1 \n", + "8 : 6547 500 75 13 2 1 4 \n", + "9 : 6533 519 70 14 2 3 1 \n", + "10 : 6565 461 95 15 5 0 1 \n", + "11 : 6571 472 87 6 2 2 2 \n", + "12 : 6540 490 95 9 3 2 3 \n", + "13 : 6530 495 111 12 4 1 1 \n", + "\n", + "T : 91695 6813 1251 151 47 22 21 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.8170e-03 sec\n", + "--- Collate = 5.6331e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.962370e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.097218e-01 > 1.000000e-01 [72023]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 72023/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=47.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000927828 [ 0.39 %]\n", + "Velocity : 0.00237861 [ 1.00 %]\n", + "Force : 0.0477326 [ 20.15 %]\n", + "Coefs : 0.0215999 [ 9.12 %]\n", + "Output : 0.00489147 [ 2.07 %]\n", + "Levels : 0.000303141 [ 0.13 %]\n", + "Report : 6.75e-07 [ 0.00 %]\n", + "Balance : 3.39e-07 [ 0.00 %]\n", + "Adjust : 0.158867 [ 67.07 %]\n", + "Total : 0.236865 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6518 502 108 11 1 2 0 \n", + "1 : 6520 523 83 13 3 0 0 \n", + "2 : 6575 480 71 10 4 0 2 \n", + "3 : 6566 463 95 11 5 1 1 \n", + "4 : 6528 494 99 12 2 4 3 \n", + "5 : 6547 484 92 8 7 3 1 \n", + "6 : 6579 456 90 10 5 0 2 \n", + "7 : 6584 463 84 7 3 1 0 \n", + "8 : 6548 498 77 10 3 2 4 \n", + "9 : 6538 512 71 14 3 3 1 \n", + "10 : 6568 457 97 13 4 2 1 \n", + "11 : 6568 472 88 8 3 1 2 \n", + "12 : 6541 489 93 11 4 2 2 \n", + "13 : 6526 498 112 10 5 2 1 \n", + "\n", + "T : 91706 6791 1260 148 52 23 20 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.8357e-03 sec\n", + "--- Collate = 5.8736e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.753358e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.099501e-01 > 1.000000e-01 [72022]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 72022/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=47.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000979322 [ 0.41 %]\n", + "Velocity : 0.00229347 [ 0.97 %]\n", + "Force : 0.0472328 [ 19.97 %]\n", + "Coefs : 0.0209295 [ 8.85 %]\n", + "Output : 0.00457258 [ 1.93 %]\n", + "Levels : 0.000243546 [ 0.10 %]\n", + "Report : 6.19e-07 [ 0.00 %]\n", + "Balance : 3.79e-07 [ 0.00 %]\n", + "Adjust : 0.160072 [ 67.69 %]\n", + "Total : 0.236489 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6515 506 108 9 3 1 0 \n", + "1 : 6517 528 81 13 3 0 0 \n", + "2 : 6579 475 72 8 6 0 2 \n", + "3 : 6565 464 97 9 4 1 2 \n", + "4 : 6524 499 98 13 4 0 4 \n", + "5 : 6544 483 97 4 9 3 2 \n", + "6 : 6578 455 93 10 5 0 1 \n", + "7 : 6586 460 84 10 1 1 0 \n", + "8 : 6542 500 80 12 2 3 3 \n", + "9 : 6543 508 69 14 4 0 4 \n", + "10 : 6565 462 97 12 2 2 2 \n", + "11 : 6567 471 88 10 1 2 3 \n", + "12 : 6545 484 93 13 4 2 1 \n", + "13 : 6529 495 113 9 3 4 1 \n", + "\n", + "T : 91699 6790 1270 146 51 19 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.4796e-03 sec\n", + "--- Collate = 5.0156e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.086456e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.101717e-01 > 1.000000e-01 [72033]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 72033/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=47.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000953793 [ 0.41 %]\n", + "Velocity : 0.00221406 [ 0.95 %]\n", + "Force : 0.0475171 [ 20.40 %]\n", + "Coefs : 0.0213524 [ 9.17 %]\n", + "Output : 0.00437556 [ 1.88 %]\n", + "Levels : 0.000233182 [ 0.10 %]\n", + "Report : 5.64e-07 [ 0.00 %]\n", + "Balance : 3.81e-07 [ 0.00 %]\n", + "Adjust : 0.156158 [ 67.03 %]\n", + "Total : 0.232968 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6513 510 106 10 1 2 0 \n", + "1 : 6516 525 85 13 3 0 0 \n", + "2 : 6577 477 72 7 5 2 2 \n", + "3 : 6556 472 98 12 1 0 3 \n", + "4 : 6523 501 98 11 3 3 3 \n", + "5 : 6547 478 99 5 7 3 3 \n", + "6 : 6578 454 91 11 5 2 1 \n", + "7 : 6587 460 83 8 4 0 0 \n", + "8 : 6539 500 84 12 2 3 2 \n", + "9 : 6539 513 69 12 4 2 3 \n", + "10 : 6562 466 99 9 1 3 2 \n", + "11 : 6571 466 89 9 2 3 2 \n", + "12 : 6549 480 93 13 5 2 0 \n", + "13 : 6525 501 111 8 3 5 1 \n", + "\n", + "T : 91682 6803 1277 140 46 30 22 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.8535e-03 sec\n", + "--- Collate = 6.9778e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.604919e-06 < 1.562500e-03 [11]\n", + "--- Max DT=3.103867e-01 > 1.000000e-01 [72019]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 72019/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=48] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000845973 [ 0.33 %]\n", + "Velocity : 0.00220384 [ 0.86 %]\n", + "Force : 0.0468292 [ 18.21 %]\n", + "Coefs : 0.0217855 [ 8.47 %]\n", + "Output : 0.0280989 [ 10.93 %]\n", + "Levels : 0.000278964 [ 0.11 %]\n", + "Report : 1.082e-06 [ 0.00 %]\n", + "Balance : 5.5e-07 [ 0.00 %]\n", + "Adjust : 0.156896 [ 61.03 %]\n", + "Total : 0.257096 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6511 515 102 10 2 0 2 \n", + "1 : 6517 522 86 14 1 2 0 \n", + "2 : 6579 473 74 8 3 2 3 \n", + "3 : 6557 472 98 9 3 1 2 \n", + "4 : 6518 508 97 11 2 3 3 \n", + "5 : 6547 481 94 8 5 4 3 \n", + "6 : 6579 453 89 15 2 3 1 \n", + "7 : 6587 461 83 6 4 1 0 \n", + "8 : 6537 499 90 11 2 0 3 \n", + "9 : 6538 514 71 11 3 1 4 \n", + "10 : 6560 465 102 10 1 1 3 \n", + "11 : 6569 466 91 10 2 2 2 \n", + "12 : 6551 478 95 12 4 2 0 \n", + "13 : 6526 496 116 7 2 3 4 \n", + "\n", + "T : 91676 6803 1288 142 36 25 30 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.3626e-03 sec\n", + "--- Collate = 7.6213e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.554107e-06 < 1.562500e-03 [14]\n", + "--- Max DT=3.105952e-01 > 1.000000e-01 [72027]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 72027/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=48.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000376321 [ 0.16 %]\n", + "Velocity : 0.00161008 [ 0.70 %]\n", + "Force : 0.0469232 [ 20.31 %]\n", + "Coefs : 0.0222158 [ 9.61 %]\n", + "Output : 0.00249441 [ 1.08 %]\n", + "Levels : 0.000252199 [ 0.11 %]\n", + "Report : 1.427e-06 [ 0.00 %]\n", + "Balance : 6.13e-07 [ 0.00 %]\n", + "Adjust : 0.157012 [ 67.95 %]\n", + "Total : 0.231055 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6511 515 101 9 4 0 2 \n", + "1 : 6517 518 91 13 1 1 1 \n", + "2 : 6581 474 72 8 1 3 3 \n", + "3 : 6564 465 99 8 2 3 1 \n", + "4 : 6521 508 94 9 6 2 2 \n", + "5 : 6546 483 90 11 5 3 4 \n", + "6 : 6576 454 91 15 1 2 3 \n", + "7 : 6585 463 83 7 3 1 0 \n", + "8 : 6538 500 84 14 3 1 2 \n", + "9 : 6534 514 76 10 3 4 1 \n", + "10 : 6566 460 101 10 1 1 3 \n", + "11 : 6570 465 92 10 2 1 2 \n", + "12 : 6548 482 95 9 6 0 2 \n", + "13 : 6524 497 114 11 1 2 5 \n", + "\n", + "T : 91681 6798 1283 144 39 24 31 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.4213e-03 sec\n", + "--- Collate = 8.0728e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.511661e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.107974e-01 > 1.000000e-01 [72027]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 72027/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=48.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000508204 [ 0.22 %]\n", + "Velocity : 0.00129536 [ 0.57 %]\n", + "Force : 0.0462404 [ 20.47 %]\n", + "Coefs : 0.0220569 [ 9.77 %]\n", + "Output : 0.00249865 [ 1.11 %]\n", + "Levels : 0.000206447 [ 0.09 %]\n", + "Report : 9.21e-07 [ 0.00 %]\n", + "Balance : 5.09e-07 [ 0.00 %]\n", + "Adjust : 0.152908 [ 67.70 %]\n", + "Total : 0.225873 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6516 510 102 7 2 3 2 \n", + "1 : 6518 519 90 10 3 0 2 \n", + "2 : 6574 478 75 8 1 3 3 \n", + "3 : 6563 464 99 9 4 2 1 \n", + "4 : 6519 507 97 10 4 3 2 \n", + "5 : 6544 485 89 11 7 2 4 \n", + "6 : 6579 452 91 14 2 1 3 \n", + "7 : 6590 457 83 9 1 1 1 \n", + "8 : 6539 498 87 13 1 2 2 \n", + "9 : 6535 513 74 12 6 1 1 \n", + "10 : 6570 454 101 13 1 2 1 \n", + "11 : 6567 466 91 13 2 2 1 \n", + "12 : 6546 484 96 10 4 0 2 \n", + "13 : 6517 501 117 11 2 0 6 \n", + "\n", + "T : 91677 6788 1292 150 40 22 31 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.1138e-03 sec\n", + "--- Collate = 7.4023e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.924586e-05 < 1.562500e-03 [19]\n", + "--- Max DT=3.109935e-01 > 1.000000e-01 [72017]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 72017/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=48.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000386588 [ 0.17 %]\n", + "Velocity : 0.00099132 [ 0.44 %]\n", + "Force : 0.0471248 [ 20.80 %]\n", + "Coefs : 0.0227664 [ 10.05 %]\n", + "Output : 0.00185617 [ 0.82 %]\n", + "Levels : 0.000160437 [ 0.07 %]\n", + "Report : 8.57e-07 [ 0.00 %]\n", + "Balance : 3.6e-07 [ 0.00 %]\n", + "Adjust : 0.153169 [ 67.60 %]\n", + "Total : 0.226586 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6514 513 101 7 1 4 2 \n", + "1 : 6518 516 93 10 2 1 2 \n", + "2 : 6573 480 75 7 1 2 4 \n", + "3 : 6560 468 96 11 3 2 2 \n", + "4 : 6516 510 96 11 5 2 2 \n", + "5 : 6545 487 87 12 4 5 2 \n", + "6 : 6580 450 93 12 3 1 3 \n", + "7 : 6588 460 83 8 1 1 1 \n", + "8 : 6543 491 92 11 1 2 2 \n", + "9 : 6536 509 80 10 4 3 0 \n", + "10 : 6573 453 98 14 1 1 2 \n", + "11 : 6566 469 90 11 3 2 1 \n", + "12 : 6545 487 96 8 4 0 2 \n", + "13 : 6517 502 113 13 1 3 5 \n", + "\n", + "T : 91674 6795 1293 145 34 29 30 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.5440e-03 sec\n", + "--- Collate = 6.0706e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.181269e-04 < 1.562500e-03 [13]\n", + "--- Max DT=3.111837e-01 > 1.000000e-01 [71996]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71996/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=48.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000368829 [ 0.16 %]\n", + "Velocity : 0.00101122 [ 0.44 %]\n", + "Force : 0.0467624 [ 20.50 %]\n", + "Coefs : 0.022584 [ 9.90 %]\n", + "Output : 0.00225637 [ 0.99 %]\n", + "Levels : 0.000262342 [ 0.11 %]\n", + "Report : 1.006e-06 [ 0.00 %]\n", + "Balance : 4.94e-07 [ 0.00 %]\n", + "Adjust : 0.154743 [ 67.83 %]\n", + "Total : 0.228135 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6514 516 95 10 1 2 4 \n", + "1 : 6514 519 94 10 2 2 1 \n", + "2 : 6575 482 71 8 2 1 3 \n", + "3 : 6557 468 100 9 4 1 3 \n", + "4 : 6512 515 92 15 4 2 2 \n", + "5 : 6545 490 83 12 7 3 2 \n", + "6 : 6579 454 89 14 4 1 1 \n", + "7 : 6591 454 87 6 2 0 2 \n", + "8 : 6543 493 92 8 2 1 3 \n", + "9 : 6538 509 78 14 0 3 0 \n", + "10 : 6574 452 99 14 2 1 0 \n", + "11 : 6563 475 87 12 3 1 1 \n", + "12 : 6541 490 96 8 3 4 0 \n", + "13 : 6523 497 113 12 2 4 3 \n", + "\n", + "T : 91669 6814 1276 152 38 26 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.4887e-03 sec\n", + "--- Collate = 6.1818e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.048299e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.113679e-01 > 1.000000e-01 [72014]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 72014/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=48.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000323785 [ 0.14 %]\n", + "Velocity : 0.00114637 [ 0.50 %]\n", + "Force : 0.0469425 [ 20.42 %]\n", + "Coefs : 0.0222509 [ 9.68 %]\n", + "Output : 0.00201446 [ 0.88 %]\n", + "Levels : 0.000222522 [ 0.10 %]\n", + "Report : 8.51e-07 [ 0.00 %]\n", + "Balance : 6.61e-07 [ 0.00 %]\n", + "Adjust : 0.156793 [ 68.22 %]\n", + "Total : 0.22984 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6513 519 93 9 3 0 5 \n", + "1 : 6515 516 96 11 0 3 1 \n", + "2 : 6577 479 74 6 3 1 2 \n", + "3 : 6560 463 101 11 3 0 4 \n", + "4 : 6510 516 94 14 4 2 2 \n", + "5 : 6547 486 88 11 8 1 1 \n", + "6 : 6574 461 88 12 4 2 1 \n", + "7 : 6592 454 88 5 1 1 1 \n", + "8 : 6544 491 92 9 2 2 2 \n", + "9 : 6539 506 80 13 2 1 1 \n", + "10 : 6570 460 94 13 3 2 0 \n", + "11 : 6562 478 87 11 3 0 1 \n", + "12 : 6539 494 95 7 3 3 1 \n", + "13 : 6520 499 114 12 3 3 3 \n", + "\n", + "T : 91662 6822 1284 144 42 21 25 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.5688e-03 sec\n", + "--- Collate = 5.8565e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.694032e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.115457e-01 > 1.000000e-01 [72034]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 72034/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=48.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000423479 [ 0.18 %]\n", + "Velocity : 0.00113917 [ 0.50 %]\n", + "Force : 0.047168 [ 20.52 %]\n", + "Coefs : 0.0227103 [ 9.88 %]\n", + "Output : 0.00192721 [ 0.84 %]\n", + "Levels : 0.000169211 [ 0.07 %]\n", + "Report : 1.124e-06 [ 0.00 %]\n", + "Balance : 3.64e-07 [ 0.00 %]\n", + "Adjust : 0.156189 [ 67.95 %]\n", + "Total : 0.229873 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6512 522 92 7 4 2 3 \n", + "1 : 6516 513 98 10 3 0 2 \n", + "2 : 6577 477 77 5 4 1 1 \n", + "3 : 6564 459 101 10 4 2 2 \n", + "4 : 6510 513 97 13 4 3 2 \n", + "5 : 6545 489 86 15 5 1 1 \n", + "6 : 6577 462 85 13 2 1 2 \n", + "7 : 6595 451 88 5 1 1 1 \n", + "8 : 6543 493 91 7 4 2 2 \n", + "9 : 6539 507 78 13 2 1 2 \n", + "10 : 6574 457 91 11 7 1 1 \n", + "11 : 6561 482 83 14 0 1 1 \n", + "12 : 6546 487 95 7 5 0 2 \n", + "13 : 6526 495 113 11 4 2 3 \n", + "\n", + "T : 91685 6807 1275 141 49 18 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.5341e-03 sec\n", + "--- Collate = 6.3747e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.789359e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.117171e-01 > 1.000000e-01 [72037]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 72037/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=48.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000409837 [ 0.18 %]\n", + "Velocity : 0.00113752 [ 0.49 %]\n", + "Force : 0.0474917 [ 20.53 %]\n", + "Coefs : 0.023802 [ 10.29 %]\n", + "Output : 0.00233493 [ 1.01 %]\n", + "Levels : 0.000214305 [ 0.09 %]\n", + "Report : 1.064e-06 [ 0.00 %]\n", + "Balance : 6.41e-07 [ 0.00 %]\n", + "Adjust : 0.155843 [ 67.35 %]\n", + "Total : 0.231382 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6514 518 93 9 4 3 1 \n", + "1 : 6518 510 99 9 4 0 2 \n", + "2 : 6580 474 78 7 1 2 0 \n", + "3 : 6565 461 99 9 5 2 1 \n", + "4 : 6510 512 97 16 3 1 3 \n", + "5 : 6541 491 86 16 5 2 1 \n", + "6 : 6576 463 86 13 2 0 2 \n", + "7 : 6595 454 86 4 2 1 0 \n", + "8 : 6544 493 92 6 2 4 1 \n", + "9 : 6538 504 82 14 1 1 2 \n", + "10 : 6570 464 88 11 6 2 1 \n", + "11 : 6564 477 85 13 0 3 0 \n", + "12 : 6547 487 94 10 2 0 2 \n", + "13 : 6526 498 110 13 3 1 3 \n", + "\n", + "T : 91688 6806 1275 150 40 22 19 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.4228e-03 sec\n", + "--- Collate = 6.0850e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.493486e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.118824e-01 > 1.000000e-01 [72037]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 72037/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=48.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000396526 [ 0.17 %]\n", + "Velocity : 0.00133157 [ 0.58 %]\n", + "Force : 0.0462812 [ 20.14 %]\n", + "Coefs : 0.0223863 [ 9.74 %]\n", + "Output : 0.00214115 [ 0.93 %]\n", + "Levels : 0.000255456 [ 0.11 %]\n", + "Report : 2.228e-06 [ 0.00 %]\n", + "Balance : 8.79e-07 [ 0.00 %]\n", + "Adjust : 0.156802 [ 68.25 %]\n", + "Total : 0.229753 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6512 519 95 9 4 3 0 \n", + "1 : 6513 515 98 9 5 1 1 \n", + "2 : 6576 479 75 9 3 0 0 \n", + "3 : 6562 464 97 12 5 2 0 \n", + "4 : 6505 517 96 17 3 1 3 \n", + "5 : 6536 495 89 15 4 2 1 \n", + "6 : 6576 460 89 12 2 1 2 \n", + "7 : 6591 457 86 6 2 0 0 \n", + "8 : 6544 493 92 4 5 1 3 \n", + "9 : 6537 507 80 13 2 2 1 \n", + "10 : 6567 468 89 10 4 2 2 \n", + "11 : 6564 479 84 10 3 0 2 \n", + "12 : 6548 486 94 10 2 1 1 \n", + "13 : 6530 495 108 15 3 3 0 \n", + "\n", + "T : 91661 6834 1272 151 47 19 16 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.3972e-03 sec\n", + "--- Collate = 6.4134e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.593546e-04 < 1.562500e-03 [7]\n", + "--- Max DT=3.120413e-01 > 1.000000e-01 [72021]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 72021/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=48.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000511525 [ 0.22 %]\n", + "Velocity : 0.00117733 [ 0.51 %]\n", + "Force : 0.0481431 [ 20.69 %]\n", + "Coefs : 0.0226879 [ 9.75 %]\n", + "Output : 0.00250233 [ 1.08 %]\n", + "Levels : 0.000201656 [ 0.09 %]\n", + "Report : 7.13e-07 [ 0.00 %]\n", + "Balance : 4.12e-07 [ 0.00 %]\n", + "Adjust : 0.157251 [ 67.59 %]\n", + "Total : 0.232639 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6512 517 97 10 5 1 0 \n", + "1 : 6513 513 101 10 3 2 0 \n", + "2 : 6572 482 76 11 1 0 0 \n", + "3 : 6561 463 99 12 4 2 1 \n", + "4 : 6506 517 94 19 2 2 2 \n", + "5 : 6536 495 89 14 6 0 2 \n", + "6 : 6576 461 89 11 1 4 0 \n", + "7 : 6581 465 89 5 1 1 0 \n", + "8 : 6550 489 89 7 2 3 2 \n", + "9 : 6538 505 81 12 4 2 0 \n", + "10 : 6566 470 87 11 1 5 2 \n", + "11 : 6562 477 88 10 3 0 2 \n", + "12 : 6546 485 98 9 3 1 0 \n", + "13 : 6534 489 112 13 4 2 0 \n", + "\n", + "T : 91653 6828 1289 154 40 25 11 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.3854e-03 sec\n", + "--- Collate = 5.5239e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.682914e-04 < 1.562500e-03 [6]\n", + "--- Max DT=3.122326e-01 > 1.000000e-01 [72011]\n", + "----------------------------------------------------------------------\n", + " Component | low: 6/100000\n", + " Component | high: 72011/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=49] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000449059 [ 0.18 %]\n", + "Velocity : 0.00101064 [ 0.40 %]\n", + "Force : 0.0476416 [ 18.80 %]\n", + "Coefs : 0.0224991 [ 8.88 %]\n", + "Output : 0.0258457 [ 10.20 %]\n", + "Levels : 0.000175631 [ 0.07 %]\n", + "Report : 1.121e-06 [ 0.00 %]\n", + "Balance : 6.29e-07 [ 0.00 %]\n", + "Adjust : 0.15563 [ 61.42 %]\n", + "Total : 0.253402 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6508 521 96 13 2 1 1 \n", + "1 : 6513 511 103 11 3 1 0 \n", + "2 : 6571 483 78 10 0 0 0 \n", + "3 : 6561 465 96 14 1 3 2 \n", + "4 : 6505 516 97 19 1 2 2 \n", + "5 : 6534 495 92 11 7 2 1 \n", + "6 : 6577 462 86 12 1 2 2 \n", + "7 : 6582 462 91 6 1 0 0 \n", + "8 : 6548 490 91 7 1 3 2 \n", + "9 : 6535 507 81 11 6 1 1 \n", + "10 : 6562 471 92 10 1 2 4 \n", + "11 : 6565 471 93 6 4 1 2 \n", + "12 : 6546 486 97 11 1 1 0 \n", + "13 : 6531 492 114 10 6 1 0 \n", + "\n", + "T : 91638 6832 1307 151 35 20 17 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.3615e-03 sec\n", + "--- Collate = 5.8629e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.267340e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.124200e-01 > 1.000000e-01 [71989]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71989/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=49.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000511417 [ 0.23 %]\n", + "Velocity : 0.00114127 [ 0.51 %]\n", + "Force : 0.0470936 [ 20.89 %]\n", + "Coefs : 0.0224316 [ 9.95 %]\n", + "Output : 0.00207809 [ 0.92 %]\n", + "Levels : 0.000158577 [ 0.07 %]\n", + "Report : 8.78e-07 [ 0.00 %]\n", + "Balance : 5.26e-07 [ 0.00 %]\n", + "Adjust : 0.15187 [ 67.37 %]\n", + "Total : 0.225429 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6506 521 100 11 1 2 1 \n", + "1 : 6517 510 97 12 4 1 1 \n", + "2 : 6572 483 78 9 0 0 0 \n", + "3 : 6561 463 98 14 1 1 4 \n", + "4 : 6511 510 99 16 4 2 0 \n", + "5 : 6533 492 97 11 4 3 2 \n", + "6 : 6577 461 88 11 2 1 2 \n", + "7 : 6584 460 90 7 1 0 0 \n", + "8 : 6545 494 90 7 2 3 1 \n", + "9 : 6535 506 84 10 3 2 2 \n", + "10 : 6558 472 95 6 6 2 3 \n", + "11 : 6565 473 91 8 1 4 0 \n", + "12 : 6548 483 99 10 1 0 1 \n", + "13 : 6526 499 110 12 6 1 0 \n", + "\n", + "T : 91638 6827 1316 144 36 22 17 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.3549e-03 sec\n", + "--- Collate = 6.2720e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.603556e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.126014e-01 > 1.000000e-01 [71981]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71981/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=49.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000374686 [ 0.17 %]\n", + "Velocity : 0.00102024 [ 0.45 %]\n", + "Force : 0.0466614 [ 20.75 %]\n", + "Coefs : 0.0227028 [ 10.10 %]\n", + "Output : 0.00182702 [ 0.81 %]\n", + "Levels : 0.000217551 [ 0.10 %]\n", + "Report : 1.022e-06 [ 0.00 %]\n", + "Balance : 5.47e-07 [ 0.00 %]\n", + "Adjust : 0.151948 [ 67.57 %]\n", + "Total : 0.224884 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6507 521 98 12 1 2 1 \n", + "1 : 6519 509 93 16 2 1 2 \n", + "2 : 6573 481 79 7 2 0 0 \n", + "3 : 6559 466 96 15 0 2 4 \n", + "4 : 6510 507 105 14 4 2 0 \n", + "5 : 6538 489 95 11 1 7 1 \n", + "6 : 6577 460 88 12 2 0 3 \n", + "7 : 6580 462 90 9 1 0 0 \n", + "8 : 6546 495 88 8 3 1 1 \n", + "9 : 6533 512 79 12 1 2 3 \n", + "10 : 6554 475 95 7 6 2 3 \n", + "11 : 6569 470 91 7 3 0 2 \n", + "12 : 6553 482 93 12 1 0 1 \n", + "13 : 6527 498 109 12 6 2 0 \n", + "\n", + "T : 91645 6827 1299 154 33 21 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.2979e-03 sec\n", + "--- Collate = 8.3164e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.084385e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.127770e-01 > 1.000000e-01 [72002]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 72002/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=49.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0003746 [ 0.16 %]\n", + "Velocity : 0.00103928 [ 0.46 %]\n", + "Force : 0.0485814 [ 21.38 %]\n", + "Coefs : 0.0229281 [ 10.09 %]\n", + "Output : 0.00172615 [ 0.76 %]\n", + "Levels : 0.000195918 [ 0.09 %]\n", + "Report : 9.89e-07 [ 0.00 %]\n", + "Balance : 4.37e-07 [ 0.00 %]\n", + "Adjust : 0.152273 [ 67.01 %]\n", + "Total : 0.22725 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6504 524 97 10 4 1 2 \n", + "1 : 6528 502 92 14 2 1 3 \n", + "2 : 6566 489 76 9 2 0 0 \n", + "3 : 6558 468 94 14 2 2 4 \n", + "4 : 6521 495 107 10 8 1 0 \n", + "5 : 6537 489 94 12 3 3 4 \n", + "6 : 6574 461 91 8 5 2 1 \n", + "7 : 6582 458 90 10 1 1 0 \n", + "8 : 6546 493 92 5 3 1 2 \n", + "9 : 6530 515 80 11 0 5 1 \n", + "10 : 6560 473 91 8 6 3 1 \n", + "11 : 6569 473 88 7 3 0 2 \n", + "12 : 6560 474 96 9 1 1 1 \n", + "13 : 6528 496 110 13 5 2 0 \n", + "\n", + "T : 91663 6810 1298 140 45 23 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.3733e-03 sec\n", + "--- Collate = 6.4761e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.619593e-04 < 1.562500e-03 [11]\n", + "--- Max DT=3.129467e-01 > 1.000000e-01 [71992]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71992/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=49.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000391204 [ 0.17 %]\n", + "Velocity : 0.00109516 [ 0.48 %]\n", + "Force : 0.0485298 [ 21.35 %]\n", + "Coefs : 0.0226493 [ 9.97 %]\n", + "Output : 0.00195753 [ 0.86 %]\n", + "Levels : 0.00020213 [ 0.09 %]\n", + "Report : 1.361e-06 [ 0.00 %]\n", + "Balance : 3.85e-07 [ 0.00 %]\n", + "Adjust : 0.152289 [ 67.01 %]\n", + "Total : 0.22726 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6508 520 98 9 2 3 2 \n", + "1 : 6523 505 93 14 3 1 3 \n", + "2 : 6562 494 75 9 0 2 0 \n", + "3 : 6553 473 95 10 7 2 2 \n", + "4 : 6520 495 107 13 6 1 0 \n", + "5 : 6538 485 97 12 3 2 5 \n", + "6 : 6572 465 88 8 6 1 2 \n", + "7 : 6578 463 89 9 2 1 0 \n", + "8 : 6544 495 92 6 2 2 1 \n", + "9 : 6533 512 80 11 1 3 2 \n", + "10 : 6558 474 89 13 4 3 1 \n", + "11 : 6569 473 89 5 4 0 2 \n", + "12 : 6559 472 98 9 2 1 1 \n", + "13 : 6529 495 110 12 6 1 1 \n", + "\n", + "T : 91646 6821 1300 140 48 23 22 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.4015e-03 sec\n", + "--- Collate = 5.7035e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.786504e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.131105e-01 > 1.000000e-01 [71969]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71969/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=49.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000400964 [ 0.18 %]\n", + "Velocity : 0.00106545 [ 0.47 %]\n", + "Force : 0.0484602 [ 21.22 %]\n", + "Coefs : 0.0232712 [ 10.19 %]\n", + "Output : 0.00193558 [ 0.85 %]\n", + "Levels : 0.000230365 [ 0.10 %]\n", + "Report : 1.086e-06 [ 0.00 %]\n", + "Balance : 3.95e-07 [ 0.00 %]\n", + "Adjust : 0.152831 [ 66.93 %]\n", + "Total : 0.228341 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6511 517 99 7 2 2 4 \n", + "1 : 6524 505 92 13 4 2 2 \n", + "2 : 6560 498 72 10 0 1 1 \n", + "3 : 6551 475 97 11 5 1 2 \n", + "4 : 6520 493 107 15 5 1 1 \n", + "5 : 6538 486 96 12 2 4 4 \n", + "6 : 6571 465 87 10 4 3 2 \n", + "7 : 6579 463 88 8 3 0 1 \n", + "8 : 6548 490 93 7 1 2 1 \n", + "9 : 6530 513 81 12 2 1 3 \n", + "10 : 6559 471 91 14 5 1 1 \n", + "11 : 6568 474 88 7 3 2 0 \n", + "12 : 6561 471 99 7 3 0 1 \n", + "13 : 6524 500 110 12 3 4 1 \n", + "\n", + "T : 91644 6821 1300 145 42 24 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.2709e-03 sec\n", + "--- Collate = 6.6311e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.629042e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.132685e-01 > 1.000000e-01 [71989]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71989/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=49.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000383801 [ 0.17 %]\n", + "Velocity : 0.00108497 [ 0.48 %]\n", + "Force : 0.0473832 [ 20.75 %]\n", + "Coefs : 0.0227812 [ 9.98 %]\n", + "Output : 0.00200461 [ 0.88 %]\n", + "Levels : 0.000192929 [ 0.08 %]\n", + "Report : 1.015e-06 [ 0.00 %]\n", + "Balance : 3.86e-07 [ 0.00 %]\n", + "Adjust : 0.154325 [ 67.60 %]\n", + "Total : 0.2283 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6510 517 101 6 2 3 3 \n", + "1 : 6523 510 89 11 4 3 2 \n", + "2 : 6556 502 72 10 0 0 2 \n", + "3 : 6551 479 95 8 7 2 0 \n", + "4 : 6515 498 106 18 3 1 1 \n", + "5 : 6537 488 93 12 4 4 4 \n", + "6 : 6567 467 88 10 5 2 3 \n", + "7 : 6577 463 89 7 4 1 1 \n", + "8 : 6552 481 97 8 1 3 0 \n", + "9 : 6536 507 81 11 3 0 4 \n", + "10 : 6565 467 91 15 2 1 1 \n", + "11 : 6565 479 85 9 3 1 0 \n", + "12 : 6564 467 99 7 3 1 1 \n", + "13 : 6522 502 110 12 3 2 3 \n", + "\n", + "T : 91640 6827 1296 144 44 24 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.3428e-03 sec\n", + "--- Collate = 5.8266e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.924865e-05 < 1.562500e-03 [9]\n", + "--- Max DT=3.134209e-01 > 1.000000e-01 [72004]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 72004/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=49.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000415396 [ 0.18 %]\n", + "Velocity : 0.00108103 [ 0.47 %]\n", + "Force : 0.0459796 [ 19.91 %]\n", + "Coefs : 0.0235443 [ 10.19 %]\n", + "Output : 0.00186204 [ 0.81 %]\n", + "Levels : 0.000225528 [ 0.10 %]\n", + "Report : 1.141e-06 [ 0.00 %]\n", + "Balance : 3.23e-07 [ 0.00 %]\n", + "Adjust : 0.157737 [ 68.29 %]\n", + "Total : 0.230984 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6508 521 98 8 3 0 4 \n", + "1 : 6523 509 89 12 4 3 2 \n", + "2 : 6557 500 72 10 1 0 2 \n", + "3 : 6552 477 96 8 7 2 0 \n", + "4 : 6521 493 105 16 4 1 2 \n", + "5 : 6539 485 95 11 5 2 5 \n", + "6 : 6566 470 85 15 0 4 2 \n", + "7 : 6578 465 86 7 3 2 1 \n", + "8 : 6552 477 98 11 3 0 1 \n", + "9 : 6534 513 77 11 4 1 2 \n", + "10 : 6566 464 92 16 2 1 1 \n", + "11 : 6564 477 88 9 2 1 1 \n", + "12 : 6567 464 98 9 1 2 1 \n", + "13 : 6519 501 117 10 0 4 3 \n", + "\n", + "T : 91646 6816 1296 153 39 23 27 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.4061e-03 sec\n", + "--- Collate = 8.1435e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.620403e-06 < 1.562500e-03 [15]\n", + "--- Max DT=3.135678e-01 > 1.000000e-01 [71996]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71996/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=49.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000384739 [ 0.17 %]\n", + "Velocity : 0.00107804 [ 0.47 %]\n", + "Force : 0.0470789 [ 20.71 %]\n", + "Coefs : 0.0232275 [ 10.22 %]\n", + "Output : 0.00196776 [ 0.87 %]\n", + "Levels : 0.000232451 [ 0.10 %]\n", + "Report : 9.82e-07 [ 0.00 %]\n", + "Balance : 3.86e-07 [ 0.00 %]\n", + "Adjust : 0.153246 [ 67.40 %]\n", + "Total : 0.227352 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6502 525 98 11 1 2 3 \n", + "1 : 6517 517 87 11 4 3 3 \n", + "2 : 6558 499 74 8 1 1 1 \n", + "3 : 6551 478 95 7 8 3 0 \n", + "4 : 6523 492 106 14 4 2 1 \n", + "5 : 6539 483 97 12 4 2 5 \n", + "6 : 6562 473 85 16 0 3 3 \n", + "7 : 6577 466 85 7 3 2 2 \n", + "8 : 6551 480 97 10 2 1 1 \n", + "9 : 6531 513 81 11 2 3 1 \n", + "10 : 6564 465 93 13 5 1 1 \n", + "11 : 6559 482 88 8 2 1 2 \n", + "12 : 6565 466 98 8 3 1 1 \n", + "13 : 6518 501 117 11 2 2 3 \n", + "\n", + "T : 91617 6840 1301 147 41 27 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.3596e-03 sec\n", + "--- Collate = 6.0461e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.031077e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.137090e-01 > 1.000000e-01 [71982]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71982/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=49.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000387472 [ 0.17 %]\n", + "Velocity : 0.00103204 [ 0.46 %]\n", + "Force : 0.0466973 [ 20.62 %]\n", + "Coefs : 0.0225982 [ 9.98 %]\n", + "Output : 0.00214145 [ 0.95 %]\n", + "Levels : 0.000225463 [ 0.10 %]\n", + "Report : 9.48e-07 [ 0.00 %]\n", + "Balance : 5.11e-07 [ 0.00 %]\n", + "Adjust : 0.153241 [ 67.67 %]\n", + "Total : 0.226463 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6502 527 95 12 1 3 2 \n", + "1 : 6520 518 82 11 5 2 4 \n", + "2 : 6555 499 76 8 3 1 0 \n", + "3 : 6547 481 94 9 6 3 2 \n", + "4 : 6515 502 103 14 3 4 1 \n", + "5 : 6540 482 97 13 1 5 4 \n", + "6 : 6559 477 85 15 1 2 3 \n", + "7 : 6573 470 83 7 5 1 3 \n", + "8 : 6550 485 92 11 2 0 2 \n", + "9 : 6531 514 79 12 2 2 2 \n", + "10 : 6567 461 94 13 6 0 1 \n", + "11 : 6555 484 89 10 1 0 3 \n", + "12 : 6568 460 100 9 2 1 2 \n", + "13 : 6520 504 110 13 3 2 2 \n", + "\n", + "T : 91602 6864 1279 157 41 26 31 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.4008e-03 sec\n", + "--- Collate = 5.7539e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.105670e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.138448e-01 > 1.000000e-01 [72007]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 72007/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=50] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000392161 [ 0.11 %]\n", + "Velocity : 0.00117938 [ 0.32 %]\n", + "Force : 0.0487256 [ 13.29 %]\n", + "Coefs : 0.023028 [ 6.28 %]\n", + "Output : 0.13712 [ 37.41 %]\n", + "Levels : 0.000215504 [ 0.06 %]\n", + "Report : 9.91e-07 [ 0.00 %]\n", + "Balance : 6.21e-07 [ 0.00 %]\n", + "Adjust : 0.155741 [ 42.49 %]\n", + "Total : 0.366547 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6503 526 96 9 6 1 1 \n", + "1 : 6517 520 84 10 5 3 3 \n", + "2 : 6549 506 74 8 4 1 0 \n", + "3 : 6541 490 91 11 4 1 4 \n", + "4 : 6512 508 101 11 6 4 0 \n", + "5 : 6535 487 95 15 2 7 1 \n", + "6 : 6559 478 82 14 6 1 2 \n", + "7 : 6571 472 83 8 2 2 4 \n", + "8 : 6545 488 94 10 3 1 1 \n", + "9 : 6526 514 82 15 3 1 1 \n", + "10 : 6570 461 92 11 5 3 0 \n", + "11 : 6557 484 87 8 2 2 2 \n", + "12 : 6565 466 96 11 0 3 1 \n", + "13 : 6522 500 112 10 8 1 1 \n", + "\n", + "T : 91572 6900 1269 151 56 31 21 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.3316e-03 sec\n", + "--- Collate = 5.8601e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.521781e-04 < 1.562500e-03 [9]\n", + "--- Max DT=3.139749e-01 > 1.000000e-01 [72021]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 72021/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=50.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00041328 [ 0.18 %]\n", + "Velocity : 0.00193631 [ 0.85 %]\n", + "Force : 0.0470807 [ 20.77 %]\n", + "Coefs : 0.0223933 [ 9.88 %]\n", + "Output : 0.00184893 [ 0.82 %]\n", + "Levels : 0.000188628 [ 0.08 %]\n", + "Report : 1.025e-06 [ 0.00 %]\n", + "Balance : 4.49e-07 [ 0.00 %]\n", + "Adjust : 0.1527 [ 67.35 %]\n", + "Total : 0.226709 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6508 523 93 10 7 1 0 \n", + "1 : 6521 512 88 11 3 4 3 \n", + "2 : 6555 501 73 7 3 3 0 \n", + "3 : 6540 491 93 9 3 2 4 \n", + "4 : 6510 512 101 11 6 1 1 \n", + "5 : 6534 491 93 11 6 5 2 \n", + "6 : 6551 485 84 14 4 1 3 \n", + "7 : 6568 478 79 9 3 0 5 \n", + "8 : 6541 490 96 7 6 1 1 \n", + "9 : 6527 511 84 15 3 1 1 \n", + "10 : 6572 457 94 7 9 3 0 \n", + "11 : 6556 485 88 6 2 3 2 \n", + "12 : 6563 468 95 10 2 2 2 \n", + "13 : 6521 496 119 9 8 0 1 \n", + "\n", + "T : 91567 6900 1280 136 65 27 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.4056e-03 sec\n", + "--- Collate = 6.0663e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.038059e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.140996e-01 > 1.000000e-01 [72030]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 72030/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=50.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000443301 [ 0.19 %]\n", + "Velocity : 0.00108048 [ 0.47 %]\n", + "Force : 0.0472575 [ 20.66 %]\n", + "Coefs : 0.0223424 [ 9.77 %]\n", + "Output : 0.0021313 [ 0.93 %]\n", + "Levels : 0.000202292 [ 0.09 %]\n", + "Report : 8.99e-07 [ 0.00 %]\n", + "Balance : 6.73e-07 [ 0.00 %]\n", + "Adjust : 0.155159 [ 67.82 %]\n", + "Total : 0.228775 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6506 522 97 12 4 1 0 \n", + "1 : 6518 516 88 10 2 3 5 \n", + "2 : 6552 501 76 9 1 0 3 \n", + "3 : 6539 492 89 11 4 4 3 \n", + "4 : 6510 510 102 9 5 4 2 \n", + "5 : 6531 493 94 10 10 2 2 \n", + "6 : 6553 484 83 14 3 2 3 \n", + "7 : 6564 483 77 11 2 2 3 \n", + "8 : 6537 492 97 8 5 3 0 \n", + "9 : 6527 508 89 12 4 1 1 \n", + "10 : 6570 456 99 5 8 1 3 \n", + "11 : 6560 477 93 4 5 1 2 \n", + "12 : 6560 468 98 8 5 1 2 \n", + "13 : 6522 494 120 10 7 1 0 \n", + "\n", + "T : 91549 6896 1302 133 65 26 29 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.4477e-03 sec\n", + "--- Collate = 5.6700e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.718226e-05 < 1.562500e-03 [17]\n", + "--- Max DT=3.142188e-01 > 1.000000e-01 [72023]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 72023/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=50.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000393754 [ 0.17 %]\n", + "Velocity : 0.00103311 [ 0.45 %]\n", + "Force : 0.048929 [ 21.39 %]\n", + "Coefs : 0.0227499 [ 9.94 %]\n", + "Output : 0.0017204 [ 0.75 %]\n", + "Levels : 0.000212044 [ 0.09 %]\n", + "Report : 9.91e-07 [ 0.00 %]\n", + "Balance : 3.67e-07 [ 0.00 %]\n", + "Adjust : 0.153615 [ 67.14 %]\n", + "Total : 0.228785 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6508 519 96 15 3 1 0 \n", + "1 : 6520 513 88 10 3 2 6 \n", + "2 : 6548 505 77 7 2 0 3 \n", + "3 : 6543 485 92 12 3 3 4 \n", + "4 : 6510 510 102 9 3 1 7 \n", + "5 : 6529 495 91 11 12 1 3 \n", + "6 : 6553 485 83 15 0 2 4 \n", + "7 : 6564 481 80 9 5 1 2 \n", + "8 : 6538 490 97 9 3 5 0 \n", + "9 : 6525 507 92 12 4 1 1 \n", + "10 : 6572 455 98 7 6 0 4 \n", + "11 : 6562 475 91 8 4 0 2 \n", + "12 : 6557 470 99 9 4 1 2 \n", + "13 : 6516 499 121 10 6 2 0 \n", + "\n", + "T : 91545 6889 1307 143 58 20 38 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.3502e-03 sec\n", + "--- Collate = 5.9960e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.767253e-05 < 1.562500e-03 [19]\n", + "--- Max DT=3.143324e-01 > 1.000000e-01 [72033]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 72033/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=50.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000385805 [ 0.17 %]\n", + "Velocity : 0.000970555 [ 0.42 %]\n", + "Force : 0.0477557 [ 20.84 %]\n", + "Coefs : 0.023632 [ 10.31 %]\n", + "Output : 0.00188862 [ 0.82 %]\n", + "Levels : 0.000237107 [ 0.10 %]\n", + "Report : 9.46e-07 [ 0.00 %]\n", + "Balance : 4.47e-07 [ 0.00 %]\n", + "Adjust : 0.154159 [ 67.27 %]\n", + "Total : 0.229171 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6510 510 104 14 1 3 0 \n", + "1 : 6514 519 86 11 4 3 5 \n", + "2 : 6548 501 80 7 1 2 3 \n", + "3 : 6542 485 94 11 3 4 3 \n", + "4 : 6507 510 105 9 2 3 6 \n", + "5 : 6529 494 91 14 9 3 2 \n", + "6 : 6552 485 84 12 3 1 5 \n", + "7 : 6560 483 83 8 5 1 2 \n", + "8 : 6533 494 96 11 2 2 4 \n", + "9 : 6524 508 92 12 5 0 1 \n", + "10 : 6575 450 99 10 1 4 3 \n", + "11 : 6564 473 90 9 3 2 1 \n", + "12 : 6555 473 100 8 2 3 1 \n", + "13 : 6514 506 116 9 6 3 0 \n", + "\n", + "T : 91527 6891 1320 145 47 34 36 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.3466e-03 sec\n", + "--- Collate = 6.0025e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.266833e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.144409e-01 > 1.000000e-01 [72027]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 72027/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=50.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000433206 [ 0.19 %]\n", + "Velocity : 0.00106196 [ 0.47 %]\n", + "Force : 0.0474446 [ 20.90 %]\n", + "Coefs : 0.0229498 [ 10.11 %]\n", + "Output : 0.00191016 [ 0.84 %]\n", + "Levels : 0.00018557 [ 0.08 %]\n", + "Report : 9.52e-07 [ 0.00 %]\n", + "Balance : 3.61e-07 [ 0.00 %]\n", + "Adjust : 0.152866 [ 67.35 %]\n", + "Total : 0.226989 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6512 508 104 14 2 1 1 \n", + "1 : 6518 516 82 14 4 4 4 \n", + "2 : 6541 507 78 9 1 5 1 \n", + "3 : 6543 482 97 11 3 5 1 \n", + "4 : 6503 515 104 11 2 2 5 \n", + "5 : 6529 494 89 19 7 1 3 \n", + "6 : 6548 491 83 11 3 3 3 \n", + "7 : 6557 483 88 8 4 1 1 \n", + "8 : 6528 499 97 10 2 1 5 \n", + "9 : 6520 512 93 10 5 1 1 \n", + "10 : 6571 452 101 12 0 4 2 \n", + "11 : 6562 472 91 10 3 4 0 \n", + "12 : 6552 477 96 8 5 1 3 \n", + "13 : 6514 505 117 8 5 2 3 \n", + "\n", + "T : 91498 6913 1320 155 46 35 33 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.0049e-03 sec\n", + "--- Collate = 5.8385e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.829683e-06 < 1.562500e-03 [15]\n", + "--- Max DT=3.145440e-01 > 1.000000e-01 [72016]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 72016/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=50.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00038365 [ 0.17 %]\n", + "Velocity : 0.000961814 [ 0.43 %]\n", + "Force : 0.0458297 [ 20.56 %]\n", + "Coefs : 0.0229295 [ 10.29 %]\n", + "Output : 0.00184956 [ 0.83 %]\n", + "Levels : 0.000193873 [ 0.09 %]\n", + "Report : 8.86e-07 [ 0.00 %]\n", + "Balance : 4.86e-07 [ 0.00 %]\n", + "Adjust : 0.150571 [ 67.57 %]\n", + "Total : 0.222853 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6509 513 103 13 2 0 2 \n", + "1 : 6521 512 83 16 1 6 3 \n", + "2 : 6540 508 76 10 3 3 2 \n", + "3 : 6538 488 96 11 4 3 2 \n", + "4 : 6501 516 104 11 3 5 2 \n", + "5 : 6532 488 92 17 8 3 2 \n", + "6 : 6548 489 87 9 4 4 1 \n", + "7 : 6558 479 91 9 2 2 1 \n", + "8 : 6530 496 97 10 3 1 5 \n", + "9 : 6510 522 93 13 2 2 0 \n", + "10 : 6572 452 99 12 2 2 3 \n", + "11 : 6556 478 90 12 3 1 2 \n", + "12 : 6551 481 89 12 5 1 3 \n", + "13 : 6509 511 115 11 2 2 4 \n", + "\n", + "T : 91475 6933 1315 166 44 35 32 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.1472e-03 sec\n", + "--- Collate = 5.5954e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.726246e-05 < 1.562500e-03 [22]\n", + "--- Max DT=3.146418e-01 > 1.000000e-01 [72000]\n", + "----------------------------------------------------------------------\n", + " Component | low: 22/100000\n", + " Component | high: 72000/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=50.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000362759 [ 0.16 %]\n", + "Velocity : 0.00101047 [ 0.45 %]\n", + "Force : 0.0466122 [ 20.70 %]\n", + "Coefs : 0.0224122 [ 9.95 %]\n", + "Output : 0.00205461 [ 0.91 %]\n", + "Levels : 0.000167057 [ 0.07 %]\n", + "Report : 8.45e-07 [ 0.00 %]\n", + "Balance : 4.43e-07 [ 0.00 %]\n", + "Adjust : 0.15246 [ 67.69 %]\n", + "Total : 0.225221 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6510 514 102 11 3 0 2 \n", + "1 : 6521 513 84 16 2 3 3 \n", + "2 : 6540 507 77 11 4 0 3 \n", + "3 : 6537 489 94 12 6 1 3 \n", + "4 : 6503 513 105 10 6 3 2 \n", + "5 : 6534 487 92 17 6 4 2 \n", + "6 : 6550 481 93 9 5 4 0 \n", + "7 : 6562 473 95 6 3 2 1 \n", + "8 : 6531 496 96 11 2 2 4 \n", + "9 : 6510 526 91 11 1 2 1 \n", + "10 : 6572 448 104 12 1 1 4 \n", + "11 : 6554 479 90 13 4 0 2 \n", + "12 : 6550 484 88 11 4 2 3 \n", + "13 : 6507 517 111 10 3 0 6 \n", + "\n", + "T : 91481 6927 1322 160 50 24 36 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.3032e-03 sec\n", + "--- Collate = 6.0497e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.507329e-04 < 1.562500e-03 [13]\n", + "--- Max DT=3.147343e-01 > 1.000000e-01 [72018]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 72018/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=50.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000348375 [ 0.15 %]\n", + "Velocity : 0.00098145 [ 0.43 %]\n", + "Force : 0.0481657 [ 20.96 %]\n", + "Coefs : 0.0223158 [ 9.71 %]\n", + "Output : 0.00207788 [ 0.90 %]\n", + "Levels : 0.000208183 [ 0.09 %]\n", + "Report : 9.21e-07 [ 0.00 %]\n", + "Balance : 3.58e-07 [ 0.00 %]\n", + "Adjust : 0.155535 [ 67.69 %]\n", + "Total : 0.229779 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6504 518 105 9 4 0 2 \n", + "1 : 6523 510 86 12 5 3 3 \n", + "2 : 6541 504 78 11 5 1 2 \n", + "3 : 6537 488 95 12 6 2 2 \n", + "4 : 6503 510 112 8 7 0 2 \n", + "5 : 6534 482 93 19 9 4 1 \n", + "6 : 6548 482 92 11 5 3 1 \n", + "7 : 6565 471 93 6 3 2 2 \n", + "8 : 6532 497 94 11 4 3 1 \n", + "9 : 6512 524 91 11 1 1 2 \n", + "10 : 6571 449 104 11 3 1 3 \n", + "11 : 6551 480 92 13 2 2 2 \n", + "12 : 6546 487 91 10 2 5 1 \n", + "13 : 6502 522 112 10 1 4 3 \n", + "\n", + "T : 91469 6924 1338 154 57 31 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.3440e-03 sec\n", + "--- Collate = 5.8586e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.014683e-04 < 1.562500e-03 [10]\n", + "--- Max DT=3.148214e-01 > 1.000000e-01 [72001]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 72001/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=50.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000384933 [ 0.17 %]\n", + "Velocity : 0.00102692 [ 0.45 %]\n", + "Force : 0.0472355 [ 20.77 %]\n", + "Coefs : 0.0227596 [ 10.01 %]\n", + "Output : 0.00188973 [ 0.83 %]\n", + "Levels : 0.000228712 [ 0.10 %]\n", + "Report : 1.064e-06 [ 0.00 %]\n", + "Balance : 6.46e-07 [ 0.00 %]\n", + "Adjust : 0.153796 [ 67.61 %]\n", + "Total : 0.227459 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6503 517 107 8 5 2 0 \n", + "1 : 6516 516 87 10 8 2 3 \n", + "2 : 6540 504 79 10 6 2 1 \n", + "3 : 6532 492 98 11 5 3 1 \n", + "4 : 6501 509 114 10 4 4 0 \n", + "5 : 6533 484 91 21 4 8 1 \n", + "6 : 6549 481 92 12 5 1 2 \n", + "7 : 6566 472 91 5 4 1 3 \n", + "8 : 6530 497 96 14 3 1 1 \n", + "9 : 6509 527 88 14 1 0 3 \n", + "10 : 6566 456 104 10 4 1 1 \n", + "11 : 6550 481 94 10 3 3 1 \n", + "12 : 6550 487 86 9 6 2 2 \n", + "13 : 6500 525 110 10 3 3 3 \n", + "\n", + "T : 91445 6948 1337 154 61 33 22 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.3064e-03 sec\n", + "--- Collate = 5.0133e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.046283e-04 < 1.562500e-03 [11]\n", + "--- Max DT=3.149035e-01 > 1.000000e-01 [72003]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 72003/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=51] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00042559 [ 0.17 %]\n", + "Velocity : 0.00103201 [ 0.41 %]\n", + "Force : 0.0475152 [ 18.77 %]\n", + "Coefs : 0.0225756 [ 8.92 %]\n", + "Output : 0.0267266 [ 10.56 %]\n", + "Levels : 0.000230754 [ 0.09 %]\n", + "Report : 1.219e-06 [ 0.00 %]\n", + "Balance : 5.98e-07 [ 0.00 %]\n", + "Adjust : 0.154453 [ 61.02 %]\n", + "Total : 0.253104 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6501 519 108 7 6 1 0 \n", + "1 : 6517 515 89 10 5 2 4 \n", + "2 : 6545 497 82 11 4 2 1 \n", + "3 : 6535 490 97 12 4 3 1 \n", + "4 : 6505 509 109 10 4 4 1 \n", + "5 : 6534 481 95 18 5 3 6 \n", + "6 : 6541 491 92 13 2 1 2 \n", + "7 : 6565 474 90 6 2 2 3 \n", + "8 : 6529 495 99 14 3 2 0 \n", + "9 : 6507 529 90 10 3 1 2 \n", + "10 : 6566 457 103 12 3 1 0 \n", + "11 : 6549 485 90 9 3 3 3 \n", + "12 : 6550 489 84 10 6 1 2 \n", + "13 : 6500 524 113 6 7 3 1 \n", + "\n", + "T : 91444 6955 1341 148 57 29 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 9.2038e-03 sec\n", + "--- Collate = 6.8733e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.770032e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.149802e-01 > 1.000000e-01 [71992]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71992/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=51.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00040492 [ 0.18 %]\n", + "Velocity : 0.00109796 [ 0.47 %]\n", + "Force : 0.0469047 [ 20.29 %]\n", + "Coefs : 0.0237985 [ 10.30 %]\n", + "Output : 0.00234022 [ 1.01 %]\n", + "Levels : 0.000259983 [ 0.11 %]\n", + "Report : 1.077e-06 [ 0.00 %]\n", + "Balance : 6.64e-07 [ 0.00 %]\n", + "Adjust : 0.156209 [ 67.58 %]\n", + "Total : 0.231159 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6502 520 105 10 4 0 1 \n", + "1 : 6518 515 90 8 4 4 3 \n", + "2 : 6539 503 83 10 5 0 2 \n", + "3 : 6529 495 97 13 6 1 1 \n", + "4 : 6512 497 115 9 3 2 4 \n", + "5 : 6531 485 94 16 6 2 8 \n", + "6 : 6545 484 93 13 4 2 1 \n", + "7 : 6566 472 91 6 2 2 3 \n", + "8 : 6525 498 100 14 2 1 2 \n", + "9 : 6506 528 92 8 5 2 1 \n", + "10 : 6565 459 101 13 3 0 1 \n", + "11 : 6548 488 88 9 3 1 5 \n", + "12 : 6551 488 84 10 5 2 2 \n", + "13 : 6499 521 116 8 8 0 2 \n", + "\n", + "T : 91436 6953 1349 147 60 19 36 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.1737e-03 sec\n", + "--- Collate = 6.5662e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.657189e-06 < 1.562500e-03 [21]\n", + "--- Max DT=3.150516e-01 > 1.000000e-01 [71986]\n", + "----------------------------------------------------------------------\n", + " Component | low: 21/100000\n", + " Component | high: 71986/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=51.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000464161 [ 0.20 %]\n", + "Velocity : 0.00137173 [ 0.60 %]\n", + "Force : 0.0470599 [ 20.50 %]\n", + "Coefs : 0.0224536 [ 9.78 %]\n", + "Output : 0.00206906 [ 0.90 %]\n", + "Levels : 0.000233973 [ 0.10 %]\n", + "Report : 1.124e-06 [ 0.00 %]\n", + "Balance : 5.21e-07 [ 0.00 %]\n", + "Adjust : 0.155762 [ 67.85 %]\n", + "Total : 0.229575 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6498 521 107 12 3 0 1 \n", + "1 : 6512 524 87 9 5 1 4 \n", + "2 : 6538 506 84 8 3 2 1 \n", + "3 : 6531 488 103 12 6 2 0 \n", + "4 : 6512 498 114 9 3 0 6 \n", + "5 : 6533 483 95 14 6 3 8 \n", + "6 : 6543 488 88 16 5 2 0 \n", + "7 : 6563 477 89 7 3 1 2 \n", + "8 : 6521 496 104 13 4 2 2 \n", + "9 : 6502 534 92 6 5 2 1 \n", + "10 : 6565 459 103 12 2 0 1 \n", + "11 : 6549 486 88 9 3 2 5 \n", + "12 : 6543 497 82 10 6 2 2 \n", + "13 : 6494 526 116 11 4 2 1 \n", + "\n", + "T : 91404 6983 1352 148 58 21 34 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.3097e-03 sec\n", + "--- Collate = 6.1389e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.668280e-06 < 1.562500e-03 [12]\n", + "--- Max DT=3.151180e-01 > 1.000000e-01 [71976]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71976/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=51.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000460205 [ 0.20 %]\n", + "Velocity : 0.00134259 [ 0.58 %]\n", + "Force : 0.047491 [ 20.48 %]\n", + "Coefs : 0.0231148 [ 9.97 %]\n", + "Output : 0.00206452 [ 0.89 %]\n", + "Levels : 0.000247484 [ 0.11 %]\n", + "Report : 8.73e-07 [ 0.00 %]\n", + "Balance : 5.7e-07 [ 0.00 %]\n", + "Adjust : 0.157028 [ 67.71 %]\n", + "Total : 0.231905 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6499 516 107 17 0 2 1 \n", + "1 : 6512 524 87 7 6 3 3 \n", + "2 : 6535 509 83 10 2 2 1 \n", + "3 : 6528 491 105 10 5 2 1 \n", + "4 : 6509 503 114 7 2 2 5 \n", + "5 : 6531 481 98 14 5 8 5 \n", + "6 : 6537 495 90 12 5 3 0 \n", + "7 : 6565 476 87 9 2 2 1 \n", + "8 : 6522 495 103 12 5 2 3 \n", + "9 : 6504 536 89 6 4 2 1 \n", + "10 : 6563 459 105 9 5 0 1 \n", + "11 : 6552 482 88 9 3 4 4 \n", + "12 : 6546 493 80 14 6 1 2 \n", + "13 : 6493 528 116 10 3 2 2 \n", + "\n", + "T : 91396 6988 1352 146 53 35 30 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.2809e-03 sec\n", + "--- Collate = 5.8495e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.428865e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.151790e-01 > 1.000000e-01 [71985]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71985/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=51.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000563532 [ 0.25 %]\n", + "Velocity : 0.00114739 [ 0.50 %]\n", + "Force : 0.047803 [ 20.94 %]\n", + "Coefs : 0.021969 [ 9.62 %]\n", + "Output : 0.00179422 [ 0.79 %]\n", + "Levels : 0.000214324 [ 0.09 %]\n", + "Report : 8.42e-07 [ 0.00 %]\n", + "Balance : 4.39e-07 [ 0.00 %]\n", + "Adjust : 0.154619 [ 67.74 %]\n", + "Total : 0.228252 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6499 518 105 17 0 3 0 \n", + "1 : 6515 521 87 7 5 4 3 \n", + "2 : 6541 505 82 9 2 2 1 \n", + "3 : 6528 487 112 8 3 2 2 \n", + "4 : 6511 502 113 8 1 5 2 \n", + "5 : 6527 487 97 13 5 9 4 \n", + "6 : 6534 498 88 13 5 2 2 \n", + "7 : 6566 478 81 12 3 2 0 \n", + "8 : 6522 494 101 15 4 3 3 \n", + "9 : 6502 540 84 10 3 0 3 \n", + "10 : 6563 456 106 12 2 3 0 \n", + "11 : 6551 484 87 8 4 4 4 \n", + "12 : 6545 493 80 15 7 0 2 \n", + "13 : 6491 523 124 10 4 0 2 \n", + "\n", + "T : 91395 6986 1347 157 48 39 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.0662e-03 sec\n", + "--- Collate = 5.5620e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.576887e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.152351e-01 > 1.000000e-01 [71976]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71976/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=51.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00042533 [ 0.19 %]\n", + "Velocity : 0.000992609 [ 0.43 %]\n", + "Force : 0.0473747 [ 20.76 %]\n", + "Coefs : 0.0224651 [ 9.84 %]\n", + "Output : 0.0020993 [ 0.92 %]\n", + "Levels : 0.000189192 [ 0.08 %]\n", + "Report : 1.042e-06 [ 0.00 %]\n", + "Balance : 3.87e-07 [ 0.00 %]\n", + "Adjust : 0.15453 [ 67.71 %]\n", + "Total : 0.228224 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6494 524 106 15 1 1 1 \n", + "1 : 6515 520 86 11 4 3 3 \n", + "2 : 6544 502 82 10 2 1 1 \n", + "3 : 6527 488 111 10 2 0 4 \n", + "4 : 6507 507 111 9 2 5 1 \n", + "5 : 6526 487 98 17 6 3 5 \n", + "6 : 6538 496 86 14 2 2 4 \n", + "7 : 6561 480 83 13 5 0 0 \n", + "8 : 6520 494 103 14 6 1 4 \n", + "9 : 6498 545 83 11 2 1 2 \n", + "10 : 6564 456 103 14 0 4 1 \n", + "11 : 6546 491 86 7 4 4 4 \n", + "12 : 6545 493 82 12 6 3 1 \n", + "13 : 6491 524 122 11 4 0 2 \n", + "\n", + "T : 91376 7007 1342 168 46 28 33 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.0940e-03 sec\n", + "--- Collate = 5.8884e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.538761e-05 < 1.562500e-03 [20]\n", + "--- Max DT=3.152862e-01 > 1.000000e-01 [71949]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 71949/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=51.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000408186 [ 0.18 %]\n", + "Velocity : 0.00091031 [ 0.41 %]\n", + "Force : 0.0480371 [ 21.39 %]\n", + "Coefs : 0.0219168 [ 9.76 %]\n", + "Output : 0.0022347 [ 0.99 %]\n", + "Levels : 0.000161532 [ 0.07 %]\n", + "Report : 1.093e-06 [ 0.00 %]\n", + "Balance : 4.55e-07 [ 0.00 %]\n", + "Adjust : 0.150793 [ 67.14 %]\n", + "Total : 0.224609 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6494 523 107 14 2 1 1 \n", + "1 : 6517 521 82 12 5 2 3 \n", + "2 : 6546 499 83 10 3 0 1 \n", + "3 : 6522 496 108 12 0 0 4 \n", + "4 : 6516 497 113 9 4 1 2 \n", + "5 : 6528 483 104 14 4 5 4 \n", + "6 : 6532 500 88 14 2 2 4 \n", + "7 : 6559 482 85 9 6 1 0 \n", + "8 : 6526 491 103 10 8 1 3 \n", + "9 : 6493 547 86 11 2 1 2 \n", + "10 : 6564 455 104 14 1 1 3 \n", + "11 : 6541 493 89 9 4 2 4 \n", + "12 : 6549 486 84 14 5 2 2 \n", + "13 : 6498 515 125 11 1 2 2 \n", + "\n", + "T : 91385 6988 1361 163 47 21 35 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.2381e-03 sec\n", + "--- Collate = 5.6508e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.673039e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.153322e-01 > 1.000000e-01 [71945]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71945/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=51.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000398341 [ 0.17 %]\n", + "Velocity : 0.00107234 [ 0.46 %]\n", + "Force : 0.0487403 [ 21.06 %]\n", + "Coefs : 0.0226421 [ 9.78 %]\n", + "Output : 0.00197651 [ 0.85 %]\n", + "Levels : 0.000245741 [ 0.11 %]\n", + "Report : 9.68e-07 [ 0.00 %]\n", + "Balance : 5.12e-07 [ 0.00 %]\n", + "Adjust : 0.156271 [ 67.51 %]\n", + "Total : 0.231488 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6499 515 111 12 4 0 1 \n", + "1 : 6520 520 79 16 3 2 2 \n", + "2 : 6547 497 85 9 4 0 0 \n", + "3 : 6522 498 108 10 0 1 3 \n", + "4 : 6512 503 110 11 4 0 2 \n", + "5 : 6529 484 101 15 6 3 4 \n", + "6 : 6529 501 91 12 3 2 4 \n", + "7 : 6561 478 88 11 2 2 0 \n", + "8 : 6528 488 105 11 5 4 1 \n", + "9 : 6484 557 83 12 3 2 1 \n", + "10 : 6564 456 103 12 3 0 4 \n", + "11 : 6544 489 89 10 4 3 3 \n", + "12 : 6544 492 86 12 3 2 3 \n", + "13 : 6498 518 121 12 1 1 3 \n", + "\n", + "T : 91381 6996 1360 165 45 22 31 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.4006e-03 sec\n", + "--- Collate = 5.4047e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.056223e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.153735e-01 > 1.000000e-01 [71927]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71927/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=51.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000393047 [ 0.17 %]\n", + "Velocity : 0.00110692 [ 0.48 %]\n", + "Force : 0.0469712 [ 20.56 %]\n", + "Coefs : 0.0221302 [ 9.69 %]\n", + "Output : 0.00197103 [ 0.86 %]\n", + "Levels : 0.000213072 [ 0.09 %]\n", + "Report : 1.126e-06 [ 0.00 %]\n", + "Balance : 5.81e-07 [ 0.00 %]\n", + "Adjust : 0.155526 [ 68.07 %]\n", + "Total : 0.228463 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6502 509 115 11 3 2 0 \n", + "1 : 6517 520 81 17 4 1 2 \n", + "2 : 6543 503 82 11 3 0 0 \n", + "3 : 6525 494 109 9 2 2 1 \n", + "4 : 6515 499 109 9 7 2 1 \n", + "5 : 6529 485 98 16 6 4 4 \n", + "6 : 6531 495 95 12 4 3 2 \n", + "7 : 6553 484 90 10 2 1 2 \n", + "8 : 6531 486 104 12 3 5 1 \n", + "9 : 6488 552 83 13 4 1 1 \n", + "10 : 6566 452 105 12 3 1 3 \n", + "11 : 6544 489 88 14 2 2 3 \n", + "12 : 6538 495 86 14 1 4 4 \n", + "13 : 6495 522 120 10 3 1 3 \n", + "\n", + "T : 91377 6985 1365 170 47 29 27 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.3139e-03 sec\n", + "--- Collate = 7.3154e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.279671e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.154096e-01 > 1.000000e-01 [71907]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71907/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=51.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000418524 [ 0.18 %]\n", + "Velocity : 0.00114678 [ 0.50 %]\n", + "Force : 0.0475045 [ 20.75 %]\n", + "Coefs : 0.0221155 [ 9.66 %]\n", + "Output : 0.00212228 [ 0.93 %]\n", + "Levels : 0.000280085 [ 0.12 %]\n", + "Report : 2.455e-06 [ 0.00 %]\n", + "Balance : 1.257e-06 [ 0.00 %]\n", + "Adjust : 0.155202 [ 67.79 %]\n", + "Total : 0.228939 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6501 512 111 10 3 4 1 \n", + "1 : 6514 519 86 17 2 3 1 \n", + "2 : 6538 510 80 10 3 1 0 \n", + "3 : 6523 497 109 9 3 1 0 \n", + "4 : 6512 502 108 12 5 2 1 \n", + "5 : 6533 480 100 16 4 5 4 \n", + "6 : 6528 496 96 12 8 1 1 \n", + "7 : 6561 474 92 9 1 2 3 \n", + "8 : 6529 489 100 13 7 2 2 \n", + "9 : 6491 547 86 13 3 1 1 \n", + "10 : 6566 453 104 13 1 4 1 \n", + "11 : 6548 485 89 12 4 0 4 \n", + "12 : 6535 496 89 11 3 2 6 \n", + "13 : 6498 516 122 11 4 1 2 \n", + "\n", + "T : 91377 6976 1372 168 51 29 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.4039e-03 sec\n", + "--- Collate = 5.1391e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.923681e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.154410e-01 > 1.000000e-01 [71915]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71915/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=52] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000484284 [ 0.19 %]\n", + "Velocity : 0.00118238 [ 0.46 %]\n", + "Force : 0.0469268 [ 18.41 %]\n", + "Coefs : 0.0232907 [ 9.14 %]\n", + "Output : 0.0270141 [ 10.60 %]\n", + "Levels : 0.000222567 [ 0.09 %]\n", + "Report : 1.577e-06 [ 0.00 %]\n", + "Balance : 1.137e-06 [ 0.00 %]\n", + "Adjust : 0.155666 [ 61.06 %]\n", + "Total : 0.254933 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6498 515 110 9 5 1 4 \n", + "1 : 6516 517 89 15 3 0 2 \n", + "2 : 6538 508 83 9 3 0 1 \n", + "3 : 6521 501 109 7 3 1 0 \n", + "4 : 6514 502 107 10 4 3 2 \n", + "5 : 6535 477 100 18 6 2 4 \n", + "6 : 6533 492 96 13 5 3 0 \n", + "7 : 6558 477 94 7 1 1 4 \n", + "8 : 6528 490 100 14 7 0 3 \n", + "9 : 6491 545 89 13 2 0 2 \n", + "10 : 6565 454 105 12 2 3 1 \n", + "11 : 6545 490 86 11 5 2 3 \n", + "12 : 6536 492 95 8 4 2 5 \n", + "13 : 6498 514 127 8 3 3 1 \n", + "\n", + "T : 91376 6974 1390 154 53 21 32 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.3857e-03 sec\n", + "--- Collate = 8.5148e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.135767e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.154672e-01 > 1.000000e-01 [71896]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71896/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=52.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000475376 [ 0.21 %]\n", + "Velocity : 0.00155877 [ 0.68 %]\n", + "Force : 0.0478922 [ 20.92 %]\n", + "Coefs : 0.0243925 [ 10.66 %]\n", + "Output : 0.00192828 [ 0.84 %]\n", + "Levels : 0.00020286 [ 0.09 %]\n", + "Report : 6.89e-07 [ 0.00 %]\n", + "Balance : 3.69e-07 [ 0.00 %]\n", + "Adjust : 0.152305 [ 66.54 %]\n", + "Total : 0.228888 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6501 516 107 7 4 3 4 \n", + "1 : 6513 520 89 15 3 1 1 \n", + "2 : 6535 511 83 9 3 0 1 \n", + "3 : 6522 504 102 9 5 0 0 \n", + "4 : 6511 504 107 11 3 3 3 \n", + "5 : 6531 480 102 19 4 3 3 \n", + "6 : 6529 496 95 15 5 1 1 \n", + "7 : 6561 471 99 6 0 2 3 \n", + "8 : 6527 492 98 16 4 3 2 \n", + "9 : 6497 539 88 15 0 2 1 \n", + "10 : 6557 459 108 12 4 0 2 \n", + "11 : 6542 493 87 9 7 3 1 \n", + "12 : 6532 494 98 8 4 1 5 \n", + "13 : 6495 517 127 8 3 4 0 \n", + "\n", + "T : 91353 6996 1390 159 49 26 27 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.0636e-03 sec\n", + "--- Collate = 5.3028e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.486182e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.154887e-01 > 1.000000e-01 [71898]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71898/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=52.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000403118 [ 0.18 %]\n", + "Velocity : 0.00100367 [ 0.45 %]\n", + "Force : 0.0471441 [ 20.93 %]\n", + "Coefs : 0.0226779 [ 10.07 %]\n", + "Output : 0.00251714 [ 1.12 %]\n", + "Levels : 0.000193923 [ 0.09 %]\n", + "Report : 6.11e-07 [ 0.00 %]\n", + "Balance : 4.4e-07 [ 0.00 %]\n", + "Adjust : 0.151206 [ 67.12 %]\n", + "Total : 0.225282 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6501 513 111 5 4 5 3 \n", + "1 : 6507 527 92 13 1 1 1 \n", + "2 : 6535 513 81 9 3 0 1 \n", + "3 : 6521 502 105 10 3 1 0 \n", + "4 : 6508 507 107 11 2 2 5 \n", + "5 : 6529 482 103 19 3 3 3 \n", + "6 : 6537 487 96 15 5 1 1 \n", + "7 : 6557 475 98 7 1 2 2 \n", + "8 : 6527 489 101 17 3 3 2 \n", + "9 : 6499 539 88 12 1 2 1 \n", + "10 : 6562 454 108 13 3 0 2 \n", + "11 : 6537 499 86 9 7 4 0 \n", + "12 : 6531 495 97 7 6 5 1 \n", + "13 : 6496 516 127 7 5 2 1 \n", + "\n", + "T : 91347 6998 1400 154 47 31 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.4013e-03 sec\n", + "--- Collate = 6.8438e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.512442e-04 < 1.562500e-03 [11]\n", + "--- Max DT=3.155053e-01 > 1.000000e-01 [71911]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71911/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=52.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000394561 [ 0.18 %]\n", + "Velocity : 0.00104632 [ 0.46 %]\n", + "Force : 0.0482637 [ 21.42 %]\n", + "Coefs : 0.0223232 [ 9.91 %]\n", + "Output : 0.00232514 [ 1.03 %]\n", + "Levels : 0.000202167 [ 0.09 %]\n", + "Report : 9.34e-07 [ 0.00 %]\n", + "Balance : 4.52e-07 [ 0.00 %]\n", + "Adjust : 0.150638 [ 66.85 %]\n", + "Total : 0.22533 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6499 516 109 5 5 7 1 \n", + "1 : 6508 525 92 14 1 2 0 \n", + "2 : 6535 509 84 10 1 3 0 \n", + "3 : 6522 499 107 10 3 0 1 \n", + "4 : 6510 503 111 8 2 3 5 \n", + "5 : 6526 488 101 18 5 2 2 \n", + "6 : 6535 491 94 17 2 1 2 \n", + "7 : 6559 472 100 6 3 1 1 \n", + "8 : 6526 491 100 15 6 3 1 \n", + "9 : 6498 539 91 9 3 1 1 \n", + "10 : 6566 449 110 13 2 1 1 \n", + "11 : 6534 503 85 11 7 1 1 \n", + "12 : 6533 494 96 8 7 2 2 \n", + "13 : 6496 517 126 6 6 0 3 \n", + "\n", + "T : 91347 6996 1406 150 53 27 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.9292e-03 sec\n", + "--- Collate = 5.2422e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.298376e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.155169e-01 > 1.000000e-01 [71904]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71904/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=52.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000447418 [ 0.20 %]\n", + "Velocity : 0.00106691 [ 0.47 %]\n", + "Force : 0.0477837 [ 21.11 %]\n", + "Coefs : 0.0222861 [ 9.85 %]\n", + "Output : 0.00189709 [ 0.84 %]\n", + "Levels : 0.000251306 [ 0.11 %]\n", + "Report : 7.95e-07 [ 0.00 %]\n", + "Balance : 4.11e-07 [ 0.00 %]\n", + "Adjust : 0.152473 [ 67.36 %]\n", + "Total : 0.22634 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6500 515 108 7 6 3 3 \n", + "1 : 6501 532 91 13 2 2 1 \n", + "2 : 6530 513 84 11 1 2 1 \n", + "3 : 6521 501 106 9 4 0 1 \n", + "4 : 6510 499 116 5 4 3 5 \n", + "5 : 6521 488 105 18 7 1 2 \n", + "6 : 6541 486 94 14 4 1 2 \n", + "7 : 6556 477 98 7 3 1 0 \n", + "8 : 6521 493 105 14 6 1 2 \n", + "9 : 6499 535 95 8 4 0 1 \n", + "10 : 6571 445 111 11 2 2 0 \n", + "11 : 6539 498 84 11 7 1 2 \n", + "12 : 6528 499 95 10 8 1 1 \n", + "13 : 6499 510 131 7 2 2 3 \n", + "\n", + "T : 91337 6991 1423 145 60 20 24 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.3606e-03 sec\n", + "--- Collate = 6.0736e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.878209e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.155238e-01 > 1.000000e-01 [71905]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71905/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=52.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000365442 [ 0.16 %]\n", + "Velocity : 0.00111405 [ 0.49 %]\n", + "Force : 0.047807 [ 21.01 %]\n", + "Coefs : 0.022569 [ 9.92 %]\n", + "Output : 0.00213608 [ 0.94 %]\n", + "Levels : 0.000203636 [ 0.09 %]\n", + "Report : 1.024e-06 [ 0.00 %]\n", + "Balance : 3.45e-07 [ 0.00 %]\n", + "Adjust : 0.153185 [ 67.33 %]\n", + "Total : 0.227518 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6499 516 109 7 4 4 3 \n", + "1 : 6506 530 88 11 4 1 2 \n", + "2 : 6533 511 84 9 3 1 1 \n", + "3 : 6518 501 108 9 3 2 1 \n", + "4 : 6512 499 112 6 6 5 2 \n", + "5 : 6514 493 104 21 7 1 2 \n", + "6 : 6546 486 89 13 3 3 2 \n", + "7 : 6550 482 98 7 5 0 0 \n", + "8 : 6520 496 102 16 5 2 1 \n", + "9 : 6502 531 97 7 3 1 1 \n", + "10 : 6567 448 111 13 2 1 0 \n", + "11 : 6540 499 82 12 4 3 2 \n", + "12 : 6531 497 94 9 6 4 1 \n", + "13 : 6494 513 134 4 3 3 3 \n", + "\n", + "T : 91332 7002 1412 144 58 31 21 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.3948e-03 sec\n", + "--- Collate = 6.0211e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.292518e-04 < 1.562500e-03 [13]\n", + "--- Max DT=3.155258e-01 > 1.000000e-01 [71919]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71919/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=52.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000474507 [ 0.20 %]\n", + "Velocity : 0.0012752 [ 0.55 %]\n", + "Force : 0.0474722 [ 20.51 %]\n", + "Coefs : 0.022414 [ 9.68 %]\n", + "Output : 0.00214807 [ 0.93 %]\n", + "Levels : 0.000164481 [ 0.07 %]\n", + "Report : 8.33e-07 [ 0.00 %]\n", + "Balance : 4.64e-07 [ 0.00 %]\n", + "Adjust : 0.157382 [ 67.99 %]\n", + "Total : 0.23147 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6501 515 109 8 2 3 4 \n", + "1 : 6504 532 88 11 4 0 3 \n", + "2 : 6531 508 88 9 3 1 2 \n", + "3 : 6519 499 110 9 1 3 1 \n", + "4 : 6514 498 109 10 7 2 2 \n", + "5 : 6514 489 109 24 3 2 1 \n", + "6 : 6545 488 87 13 5 2 2 \n", + "7 : 6549 484 97 7 4 1 0 \n", + "8 : 6516 506 98 15 3 2 2 \n", + "9 : 6505 529 90 13 3 2 0 \n", + "10 : 6563 452 113 13 0 0 1 \n", + "11 : 6542 497 82 13 3 2 3 \n", + "12 : 6525 500 95 14 3 3 2 \n", + "13 : 6485 519 135 6 1 5 3 \n", + "\n", + "T : 91313 7016 1410 165 42 28 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.2906e-03 sec\n", + "--- Collate = 5.7088e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.429700e-05 < 1.562500e-03 [17]\n", + "--- Max DT=3.155229e-01 > 1.000000e-01 [71905]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71905/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=52.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000343023 [ 0.15 %]\n", + "Velocity : 0.00109063 [ 0.48 %]\n", + "Force : 0.0467762 [ 20.59 %]\n", + "Coefs : 0.0228715 [ 10.07 %]\n", + "Output : 0.00218369 [ 0.96 %]\n", + "Levels : 0.000220932 [ 0.10 %]\n", + "Report : 1.048e-06 [ 0.00 %]\n", + "Balance : 4.49e-07 [ 0.00 %]\n", + "Adjust : 0.153533 [ 67.59 %]\n", + "Total : 0.22716 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6502 514 107 11 2 1 5 \n", + "1 : 6499 536 88 12 4 1 2 \n", + "2 : 6529 509 87 11 2 3 1 \n", + "3 : 6515 502 111 9 1 2 2 \n", + "4 : 6517 492 113 12 3 3 2 \n", + "5 : 6513 492 109 22 3 3 0 \n", + "6 : 6548 484 89 12 5 0 4 \n", + "7 : 6541 492 96 7 4 1 1 \n", + "8 : 6507 515 97 13 6 1 3 \n", + "9 : 6501 533 90 14 2 2 0 \n", + "10 : 6566 447 114 12 2 0 1 \n", + "11 : 6533 506 83 14 3 1 2 \n", + "12 : 6526 500 93 16 3 1 3 \n", + "13 : 6480 525 134 6 2 3 4 \n", + "\n", + "T : 91277 7047 1411 171 42 22 30 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.5961e-03 sec\n", + "--- Collate = 5.6323e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.431023e-04 < 1.562500e-03 [16]\n", + "--- Max DT=3.155152e-01 > 1.000000e-01 [71917]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71917/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=52.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000467602 [ 0.20 %]\n", + "Velocity : 0.00118799 [ 0.51 %]\n", + "Force : 0.0478482 [ 20.66 %]\n", + "Coefs : 0.0231845 [ 10.01 %]\n", + "Output : 0.00209273 [ 0.90 %]\n", + "Levels : 0.000246487 [ 0.11 %]\n", + "Report : 1.108e-06 [ 0.00 %]\n", + "Balance : 4.95e-07 [ 0.00 %]\n", + "Adjust : 0.15644 [ 67.54 %]\n", + "Total : 0.231616 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6502 516 104 9 6 1 4 \n", + "1 : 6503 531 89 12 3 3 1 \n", + "2 : 6526 512 87 10 4 0 3 \n", + "3 : 6511 506 111 9 1 1 3 \n", + "4 : 6515 495 112 11 3 3 3 \n", + "5 : 6505 500 111 19 5 1 1 \n", + "6 : 6543 490 89 12 1 5 2 \n", + "7 : 6537 497 94 10 1 1 2 \n", + "8 : 6503 520 99 10 6 1 3 \n", + "9 : 6498 537 90 11 4 0 2 \n", + "10 : 6563 450 114 12 1 1 1 \n", + "11 : 6535 507 81 14 3 0 2 \n", + "12 : 6520 503 101 11 2 1 4 \n", + "13 : 6483 523 133 7 3 1 4 \n", + "\n", + "T : 91244 7087 1415 157 43 19 35 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.2350e-03 sec\n", + "--- Collate = 5.6225e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.499307e-06 < 1.562500e-03 [17]\n", + "--- Max DT=3.155027e-01 > 1.000000e-01 [71892]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71892/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=52.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000480587 [ 0.21 %]\n", + "Velocity : 0.00127457 [ 0.55 %]\n", + "Force : 0.04686 [ 20.33 %]\n", + "Coefs : 0.023005 [ 9.98 %]\n", + "Output : 0.00215582 [ 0.94 %]\n", + "Levels : 0.000195492 [ 0.08 %]\n", + "Report : 1.164e-06 [ 0.00 %]\n", + "Balance : 6.23e-07 [ 0.00 %]\n", + "Adjust : 0.156392 [ 67.85 %]\n", + "Total : 0.230509 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6502 515 107 10 2 4 2 \n", + "1 : 6503 524 96 10 4 3 2 \n", + "2 : 6526 511 88 8 4 3 2 \n", + "3 : 6512 505 110 10 1 1 3 \n", + "4 : 6512 499 112 11 2 3 3 \n", + "5 : 6507 500 110 18 5 1 1 \n", + "6 : 6538 495 89 13 1 2 4 \n", + "7 : 6533 500 95 9 1 2 2 \n", + "8 : 6499 522 101 11 5 1 3 \n", + "9 : 6495 539 91 11 4 0 2 \n", + "10 : 6563 452 113 9 3 2 0 \n", + "11 : 6536 507 80 14 3 2 0 \n", + "12 : 6517 505 103 10 2 3 2 \n", + "13 : 6479 522 136 9 3 2 3 \n", + "\n", + "T : 91222 7096 1431 153 40 29 29 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.2903e-03 sec\n", + "--- Collate = 5.1416e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.105921e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.154859e-01 > 1.000000e-01 [71900]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71900/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=53] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000427504 [ 0.17 %]\n", + "Velocity : 0.00121415 [ 0.47 %]\n", + "Force : 0.0473928 [ 18.48 %]\n", + "Coefs : 0.0223841 [ 8.73 %]\n", + "Output : 0.0315525 [ 12.30 %]\n", + "Levels : 0.000227099 [ 0.09 %]\n", + "Report : 1.438e-06 [ 0.00 %]\n", + "Balance : 8.98e-07 [ 0.00 %]\n", + "Adjust : 0.153179 [ 59.72 %]\n", + "Total : 0.256515 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6496 518 110 10 4 3 1 \n", + "1 : 6500 522 100 10 5 2 3 \n", + "2 : 6528 505 92 8 5 0 4 \n", + "3 : 6510 507 109 12 1 1 2 \n", + "4 : 6508 505 109 8 7 1 4 \n", + "5 : 6505 502 113 14 5 1 2 \n", + "6 : 6538 495 88 15 1 2 3 \n", + "7 : 6531 505 93 8 1 1 3 \n", + "8 : 6493 528 104 7 5 3 2 \n", + "9 : 6494 542 88 12 2 2 2 \n", + "10 : 6561 455 113 10 0 2 1 \n", + "11 : 6536 506 82 13 4 1 0 \n", + "12 : 6516 503 107 5 9 0 2 \n", + "13 : 6477 524 138 8 2 4 1 \n", + "\n", + "T : 91193 7117 1446 140 51 23 30 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.6903e-03 sec\n", + "--- Collate = 5.3861e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.242389e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.154642e-01 > 1.000000e-01 [71882]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71882/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=53.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00073292 [ 0.31 %]\n", + "Velocity : 0.0021077 [ 0.89 %]\n", + "Force : 0.0471763 [ 19.95 %]\n", + "Coefs : 0.0226633 [ 9.59 %]\n", + "Output : 0.004503 [ 1.90 %]\n", + "Levels : 0.000290312 [ 0.12 %]\n", + "Report : 6.44e-07 [ 0.00 %]\n", + "Balance : 3.86e-07 [ 0.00 %]\n", + "Adjust : 0.158777 [ 67.16 %]\n", + "Total : 0.236418 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6497 512 115 10 5 2 1 \n", + "1 : 6495 530 98 9 4 3 3 \n", + "2 : 6536 498 90 9 4 3 2 \n", + "3 : 6508 510 108 11 3 1 1 \n", + "4 : 6504 509 109 11 3 3 3 \n", + "5 : 6502 505 115 13 3 3 1 \n", + "6 : 6539 494 88 13 5 0 3 \n", + "7 : 6530 507 91 9 2 1 2 \n", + "8 : 6493 528 99 11 7 1 3 \n", + "9 : 6493 540 91 12 2 4 0 \n", + "10 : 6569 447 113 8 2 0 3 \n", + "11 : 6535 507 83 12 5 0 0 \n", + "12 : 6511 510 104 7 6 2 2 \n", + "13 : 6477 523 137 9 4 3 1 \n", + "\n", + "T : 91189 7120 1441 144 55 26 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.0478e-03 sec\n", + "--- Collate = 5.4853e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.197127e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.154379e-01 > 1.000000e-01 [71881]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71881/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=53.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000831031 [ 0.35 %]\n", + "Velocity : 0.00231808 [ 0.99 %]\n", + "Force : 0.0471621 [ 20.05 %]\n", + "Coefs : 0.0229497 [ 9.76 %]\n", + "Output : 0.00440314 [ 1.87 %]\n", + "Levels : 0.000246129 [ 0.10 %]\n", + "Report : 6.05e-07 [ 0.00 %]\n", + "Balance : 4.04e-07 [ 0.00 %]\n", + "Adjust : 0.157134 [ 66.80 %]\n", + "Total : 0.235233 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6498 511 113 11 5 3 1 \n", + "1 : 6490 533 101 7 4 4 3 \n", + "2 : 6534 497 93 9 3 5 1 \n", + "3 : 6504 515 105 13 4 1 0 \n", + "4 : 6504 512 106 9 3 5 3 \n", + "5 : 6509 499 114 13 2 2 3 \n", + "6 : 6539 492 92 12 4 2 1 \n", + "7 : 6524 514 86 11 4 1 2 \n", + "8 : 6493 526 101 12 2 4 4 \n", + "9 : 6498 538 89 10 3 0 4 \n", + "10 : 6565 450 113 7 3 1 3 \n", + "11 : 6532 512 82 11 5 0 0 \n", + "12 : 6507 512 109 5 4 3 2 \n", + "13 : 6471 529 135 11 5 2 1 \n", + "\n", + "T : 91168 7140 1439 141 51 33 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.1713e-03 sec\n", + "--- Collate = 5.7079e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.057423e-05 < 1.562500e-03 [17]\n", + "--- Max DT=3.154069e-01 > 1.000000e-01 [71863]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71863/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=53.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000922928 [ 0.38 %]\n", + "Velocity : 0.00200702 [ 0.83 %]\n", + "Force : 0.0482805 [ 19.86 %]\n", + "Coefs : 0.021765 [ 8.96 %]\n", + "Output : 0.00458145 [ 1.89 %]\n", + "Levels : 0.00026762 [ 0.11 %]\n", + "Report : 7.02e-07 [ 0.00 %]\n", + "Balance : 3.78e-07 [ 0.00 %]\n", + "Adjust : 0.165049 [ 67.91 %]\n", + "Total : 0.243044 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6497 512 112 13 4 2 2 \n", + "1 : 6491 528 107 6 5 1 4 \n", + "2 : 6530 501 93 9 4 4 1 \n", + "3 : 6506 508 112 12 4 0 0 \n", + "4 : 6504 511 105 11 2 3 6 \n", + "5 : 6506 501 115 13 2 1 4 \n", + "6 : 6540 489 94 15 3 1 0 \n", + "7 : 6522 515 87 11 5 2 0 \n", + "8 : 6496 523 101 11 2 5 4 \n", + "9 : 6496 542 87 10 3 0 4 \n", + "10 : 6562 452 113 8 1 3 3 \n", + "11 : 6531 511 85 7 7 1 0 \n", + "12 : 6499 518 109 6 5 2 3 \n", + "13 : 6471 528 136 11 6 0 2 \n", + "\n", + "T : 91151 7139 1456 143 53 25 33 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.9694e-03 sec\n", + "--- Collate = 5.3501e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.046131e-05 < 1.562500e-03 [19]\n", + "--- Max DT=3.153715e-01 > 1.000000e-01 [71856]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 71856/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=53.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000947932 [ 0.40 %]\n", + "Velocity : 0.00244702 [ 1.03 %]\n", + "Force : 0.0477963 [ 20.06 %]\n", + "Coefs : 0.0217194 [ 9.12 %]\n", + "Output : 0.00456782 [ 1.92 %]\n", + "Levels : 0.000230555 [ 0.10 %]\n", + "Report : 5.45e-07 [ 0.00 %]\n", + "Balance : 3.73e-07 [ 0.00 %]\n", + "Adjust : 0.160371 [ 67.31 %]\n", + "Total : 0.238253 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6504 505 113 12 3 2 3 \n", + "1 : 6492 524 107 10 5 0 4 \n", + "2 : 6527 504 92 12 3 2 2 \n", + "3 : 6506 503 118 7 7 1 0 \n", + "4 : 6501 519 99 14 2 1 6 \n", + "5 : 6511 501 111 12 2 1 4 \n", + "6 : 6534 493 96 15 3 1 0 \n", + "7 : 6520 515 90 12 2 2 1 \n", + "8 : 6502 518 101 11 2 2 6 \n", + "9 : 6498 538 87 11 4 0 4 \n", + "10 : 6567 449 110 7 4 2 3 \n", + "11 : 6530 512 85 8 5 2 0 \n", + "12 : 6499 520 106 9 2 2 4 \n", + "13 : 6473 525 136 12 4 2 2 \n", + "\n", + "T : 91164 7126 1451 152 48 20 39 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 9.7817e-03 sec\n", + "--- Collate = 5.4973e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.050664e-05 < 1.562500e-03 [19]\n", + "--- Max DT=3.153319e-01 > 1.000000e-01 [71854]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 71854/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=53.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000969287 [ 0.40 %]\n", + "Velocity : 0.00241873 [ 1.00 %]\n", + "Force : 0.0486638 [ 20.08 %]\n", + "Coefs : 0.0218495 [ 9.02 %]\n", + "Output : 0.00458948 [ 1.89 %]\n", + "Levels : 0.000279419 [ 0.12 %]\n", + "Report : 6.44e-07 [ 0.00 %]\n", + "Balance : 3.51e-07 [ 0.00 %]\n", + "Adjust : 0.163372 [ 67.42 %]\n", + "Total : 0.242327 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6500 510 112 11 4 1 4 \n", + "1 : 6493 523 107 11 3 3 2 \n", + "2 : 6527 504 91 12 4 2 2 \n", + "3 : 6510 498 119 8 3 3 1 \n", + "4 : 6502 517 101 12 2 4 4 \n", + "5 : 6513 500 108 11 6 2 2 \n", + "6 : 6529 499 97 12 2 2 1 \n", + "7 : 6521 515 89 12 3 1 1 \n", + "8 : 6500 520 100 12 2 4 4 \n", + "9 : 6500 534 87 13 3 5 0 \n", + "10 : 6567 449 108 9 4 2 3 \n", + "11 : 6529 511 88 9 2 1 2 \n", + "12 : 6502 518 104 10 1 2 5 \n", + "13 : 6470 532 132 9 6 4 1 \n", + "\n", + "T : 91163 7130 1443 151 45 36 32 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.3438e-03 sec\n", + "--- Collate = 5.6037e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.727643e-04 < 1.562500e-03 [11]\n", + "--- Max DT=3.152880e-01 > 1.000000e-01 [71834]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71834/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=53.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000931617 [ 0.38 %]\n", + "Velocity : 0.00255439 [ 1.05 %]\n", + "Force : 0.0498179 [ 20.56 %]\n", + "Coefs : 0.021987 [ 9.07 %]\n", + "Output : 0.00448584 [ 1.85 %]\n", + "Levels : 0.00025104 [ 0.10 %]\n", + "Report : 6.84e-07 [ 0.00 %]\n", + "Balance : 3.82e-07 [ 0.00 %]\n", + "Adjust : 0.162168 [ 66.91 %]\n", + "Total : 0.242359 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6496 516 109 11 3 4 3 \n", + "1 : 6497 519 105 16 1 3 1 \n", + "2 : 6527 501 96 10 4 2 2 \n", + "3 : 6504 504 119 8 3 0 4 \n", + "4 : 6504 512 102 13 2 7 2 \n", + "5 : 6511 502 108 10 7 3 1 \n", + "6 : 6530 495 101 10 3 0 3 \n", + "7 : 6515 521 90 11 2 0 3 \n", + "8 : 6493 524 105 12 3 2 3 \n", + "9 : 6498 539 82 14 6 3 0 \n", + "10 : 6568 446 110 9 5 2 2 \n", + "11 : 6531 510 90 6 2 1 2 \n", + "12 : 6500 521 103 11 1 2 4 \n", + "13 : 6465 536 132 11 5 2 3 \n", + "\n", + "T : 91139 7146 1452 152 47 31 33 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.9074e-03 sec\n", + "--- Collate = 5.5282e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.757707e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.152398e-01 > 1.000000e-01 [71838]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71838/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=53.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00093133 [ 0.39 %]\n", + "Velocity : 0.00244146 [ 1.02 %]\n", + "Force : 0.0475739 [ 19.78 %]\n", + "Coefs : 0.0222068 [ 9.23 %]\n", + "Output : 0.00463501 [ 1.93 %]\n", + "Levels : 0.000242901 [ 0.10 %]\n", + "Report : 5.04e-07 [ 0.00 %]\n", + "Balance : 3.7e-07 [ 0.00 %]\n", + "Adjust : 0.162271 [ 67.48 %]\n", + "Total : 0.240483 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6498 514 110 12 1 3 4 \n", + "1 : 6496 519 108 12 5 1 1 \n", + "2 : 6527 499 97 11 6 0 2 \n", + "3 : 6502 504 121 8 1 2 4 \n", + "4 : 6508 507 102 14 5 3 3 \n", + "5 : 6512 502 105 14 5 4 0 \n", + "6 : 6531 494 104 7 2 1 3 \n", + "7 : 6517 518 89 13 2 1 2 \n", + "8 : 6494 522 107 10 4 5 0 \n", + "9 : 6503 533 84 14 6 2 0 \n", + "10 : 6575 439 108 11 6 2 1 \n", + "11 : 6529 509 92 8 1 0 3 \n", + "12 : 6501 519 103 11 3 3 2 \n", + "13 : 6464 542 126 11 6 1 4 \n", + "\n", + "T : 91157 7121 1456 156 53 28 29 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.1400e-03 sec\n", + "--- Collate = 5.1307e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.440617e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.151878e-01 > 1.000000e-01 [71827]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71827/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=53.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000937268 [ 0.39 %]\n", + "Velocity : 0.00251501 [ 1.04 %]\n", + "Force : 0.0484039 [ 20.09 %]\n", + "Coefs : 0.0223549 [ 9.28 %]\n", + "Output : 0.00453439 [ 1.88 %]\n", + "Levels : 0.000240518 [ 0.10 %]\n", + "Report : 5.74e-07 [ 0.00 %]\n", + "Balance : 4.34e-07 [ 0.00 %]\n", + "Adjust : 0.161784 [ 67.15 %]\n", + "Total : 0.240928 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6494 517 111 12 1 3 4 \n", + "1 : 6494 519 106 15 5 1 2 \n", + "2 : 6523 504 96 13 3 1 2 \n", + "3 : 6502 504 120 9 1 3 3 \n", + "4 : 6508 507 103 12 6 3 3 \n", + "5 : 6509 505 105 15 4 3 1 \n", + "6 : 6529 495 104 8 1 2 3 \n", + "7 : 6516 515 95 9 5 0 2 \n", + "8 : 6491 527 107 10 5 2 0 \n", + "9 : 6503 531 86 16 5 1 0 \n", + "10 : 6573 437 112 14 2 3 1 \n", + "11 : 6527 509 94 8 1 1 2 \n", + "12 : 6500 523 99 12 5 1 2 \n", + "13 : 6468 540 125 10 5 3 3 \n", + "\n", + "T : 91137 7133 1463 163 49 27 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.9935e-03 sec\n", + "--- Collate = 5.6998e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.336197e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.151314e-01 > 1.000000e-01 [71845]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71845/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=53.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000921776 [ 0.38 %]\n", + "Velocity : 0.002669 [ 1.09 %]\n", + "Force : 0.049946 [ 20.39 %]\n", + "Coefs : 0.0225913 [ 9.22 %]\n", + "Output : 0.00459826 [ 1.88 %]\n", + "Levels : 0.000298304 [ 0.12 %]\n", + "Report : 6.07e-07 [ 0.00 %]\n", + "Balance : 4.56e-07 [ 0.00 %]\n", + "Adjust : 0.163806 [ 66.86 %]\n", + "Total : 0.244995 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6495 512 115 10 5 2 3 \n", + "1 : 6499 510 110 14 3 4 2 \n", + "2 : 6522 502 97 13 2 5 1 \n", + "3 : 6501 505 120 9 1 4 2 \n", + "4 : 6509 508 103 10 5 2 5 \n", + "5 : 6513 503 103 18 0 2 3 \n", + "6 : 6524 500 104 8 2 2 2 \n", + "7 : 6514 515 99 8 2 4 0 \n", + "8 : 6483 535 106 12 5 1 0 \n", + "9 : 6507 528 84 18 4 0 1 \n", + "10 : 6574 437 112 14 3 1 1 \n", + "11 : 6523 513 93 9 1 2 1 \n", + "12 : 6495 530 97 11 6 2 1 \n", + "13 : 6469 540 125 8 4 4 4 \n", + "\n", + "T : 91128 7138 1468 162 43 35 26 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.9290e-03 sec\n", + "--- Collate = 4.6473e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.803618e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.150712e-01 > 1.000000e-01 [71838]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71838/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=54] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000946363 [ 0.36 %]\n", + "Velocity : 0.00248679 [ 0.95 %]\n", + "Force : 0.0486025 [ 18.49 %]\n", + "Coefs : 0.0218304 [ 8.30 %]\n", + "Output : 0.0283862 [ 10.80 %]\n", + "Levels : 0.000240805 [ 0.09 %]\n", + "Report : 1.356e-06 [ 0.00 %]\n", + "Balance : 4.68e-07 [ 0.00 %]\n", + "Adjust : 0.160271 [ 60.96 %]\n", + "Total : 0.262929 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6487 519 115 13 3 2 3 \n", + "1 : 6500 510 109 14 4 1 4 \n", + "2 : 6524 498 99 9 6 5 1 \n", + "3 : 6496 510 120 9 4 1 2 \n", + "4 : 6511 505 103 12 4 3 4 \n", + "5 : 6508 510 103 15 1 2 3 \n", + "6 : 6526 496 106 8 3 1 2 \n", + "7 : 6507 519 101 10 1 2 2 \n", + "8 : 6475 541 110 10 5 0 1 \n", + "9 : 6508 531 80 18 4 0 1 \n", + "10 : 6573 440 110 13 3 1 2 \n", + "11 : 6527 507 94 10 3 1 0 \n", + "12 : 6496 529 96 8 10 2 1 \n", + "13 : 6474 536 125 7 4 2 6 \n", + "\n", + "T : 91112 7151 1471 156 55 23 32 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.4550e-03 sec\n", + "--- Collate = 6.2317e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.469200e-05 < 1.562500e-03 [18]\n", + "--- Max DT=3.150073e-01 > 1.000000e-01 [71834]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 71834/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=54.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000543203 [ 0.23 %]\n", + "Velocity : 0.00150987 [ 0.65 %]\n", + "Force : 0.0475255 [ 20.53 %]\n", + "Coefs : 0.0228123 [ 9.85 %]\n", + "Output : 0.00211287 [ 0.91 %]\n", + "Levels : 0.000244121 [ 0.11 %]\n", + "Report : 9.83e-07 [ 0.00 %]\n", + "Balance : 3.57e-07 [ 0.00 %]\n", + "Adjust : 0.156603 [ 67.65 %]\n", + "Total : 0.231487 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6488 521 113 12 4 3 1 \n", + "1 : 6497 513 110 12 4 2 4 \n", + "2 : 6525 498 95 10 7 3 4 \n", + "3 : 6496 512 117 10 4 1 2 \n", + "4 : 6506 506 104 14 6 2 4 \n", + "5 : 6504 516 100 14 3 1 4 \n", + "6 : 6531 488 110 8 3 1 1 \n", + "7 : 6507 515 105 11 1 1 2 \n", + "8 : 6476 535 114 12 4 0 1 \n", + "9 : 6508 530 83 16 2 2 1 \n", + "10 : 6576 438 110 12 3 1 2 \n", + "11 : 6524 510 94 11 3 0 0 \n", + "12 : 6496 528 96 7 12 2 1 \n", + "13 : 6464 548 119 11 3 3 6 \n", + "\n", + "T : 91098 7158 1470 160 59 22 33 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.3703e-03 sec\n", + "--- Collate = 6.4141e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.064670e-04 < 1.562500e-03 [14]\n", + "--- Max DT=3.149399e-01 > 1.000000e-01 [71820]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71820/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=54.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000429949 [ 0.19 %]\n", + "Velocity : 0.00117607 [ 0.51 %]\n", + "Force : 0.0484432 [ 21.06 %]\n", + "Coefs : 0.0227273 [ 9.88 %]\n", + "Output : 0.00202004 [ 0.88 %]\n", + "Levels : 0.000198437 [ 0.09 %]\n", + "Report : 9.91e-07 [ 0.00 %]\n", + "Balance : 3.54e-07 [ 0.00 %]\n", + "Adjust : 0.154907 [ 67.34 %]\n", + "Total : 0.230041 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6485 525 112 10 7 2 1 \n", + "1 : 6496 514 111 13 1 3 4 \n", + "2 : 6521 503 92 12 5 5 4 \n", + "3 : 6497 510 117 11 5 1 1 \n", + "4 : 6505 509 103 16 3 4 2 \n", + "5 : 6505 516 99 13 4 3 2 \n", + "6 : 6530 487 113 7 4 1 0 \n", + "7 : 6511 508 106 12 2 1 2 \n", + "8 : 6479 530 115 14 1 2 1 \n", + "9 : 6510 527 83 17 2 2 1 \n", + "10 : 6577 436 113 10 4 0 2 \n", + "11 : 6526 512 90 13 1 0 0 \n", + "12 : 6495 525 100 8 11 2 1 \n", + "13 : 6467 541 123 10 5 4 4 \n", + "\n", + "T : 91104 7143 1477 166 55 30 25 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.2444e-03 sec\n", + "--- Collate = 6.1037e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.530683e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.148687e-01 > 1.000000e-01 [71808]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71808/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=54.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00041721 [ 0.18 %]\n", + "Velocity : 0.00123365 [ 0.54 %]\n", + "Force : 0.0487979 [ 21.24 %]\n", + "Coefs : 0.0225885 [ 9.83 %]\n", + "Output : 0.00208389 [ 0.91 %]\n", + "Levels : 0.000206591 [ 0.09 %]\n", + "Report : 9.32e-07 [ 0.00 %]\n", + "Balance : 4.34e-07 [ 0.00 %]\n", + "Adjust : 0.154297 [ 67.15 %]\n", + "Total : 0.229772 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6486 525 111 11 6 1 2 \n", + "1 : 6489 522 109 12 3 3 4 \n", + "2 : 6525 499 92 11 5 3 7 \n", + "3 : 6499 505 121 11 5 0 1 \n", + "4 : 6500 513 105 16 5 2 1 \n", + "5 : 6507 510 104 10 6 2 3 \n", + "6 : 6529 490 109 10 3 1 0 \n", + "7 : 6506 516 104 10 3 2 1 \n", + "8 : 6476 533 116 13 1 2 1 \n", + "9 : 6510 527 82 17 4 1 1 \n", + "10 : 6579 436 113 8 4 1 1 \n", + "11 : 6526 513 87 13 3 0 0 \n", + "12 : 6492 529 98 10 5 7 1 \n", + "13 : 6469 538 121 13 7 4 2 \n", + "\n", + "T : 91093 7156 1472 165 60 29 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.9580e-03 sec\n", + "--- Collate = 5.1159e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.606917e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.147935e-01 > 1.000000e-01 [71786]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71786/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=54.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000422927 [ 0.19 %]\n", + "Velocity : 0.00120356 [ 0.54 %]\n", + "Force : 0.046504 [ 20.97 %]\n", + "Coefs : 0.022579 [ 10.18 %]\n", + "Output : 0.00180465 [ 0.81 %]\n", + "Levels : 0.000195072 [ 0.09 %]\n", + "Report : 1.156e-06 [ 0.00 %]\n", + "Balance : 5.52e-07 [ 0.00 %]\n", + "Adjust : 0.148969 [ 67.16 %]\n", + "Total : 0.221814 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6490 522 113 13 1 0 3 \n", + "1 : 6493 516 114 9 4 2 4 \n", + "2 : 6525 499 91 13 2 8 4 \n", + "3 : 6496 509 121 11 3 1 1 \n", + "4 : 6503 506 109 13 8 2 1 \n", + "5 : 6509 506 106 11 4 3 3 \n", + "6 : 6530 485 111 12 4 0 0 \n", + "7 : 6504 521 100 11 5 0 1 \n", + "8 : 6473 538 113 13 2 2 1 \n", + "9 : 6510 526 84 16 4 1 1 \n", + "10 : 6573 439 116 8 4 2 0 \n", + "11 : 6528 510 89 9 6 0 0 \n", + "12 : 6494 521 103 11 3 7 3 \n", + "13 : 6466 543 120 16 6 2 1 \n", + "\n", + "T : 91094 7141 1490 166 56 30 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.3338e-03 sec\n", + "--- Collate = 6.3390e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.157443e-04 < 1.562500e-03 [14]\n", + "--- Max DT=3.147144e-01 > 1.000000e-01 [71769]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71769/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=54.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000370188 [ 0.16 %]\n", + "Velocity : 0.00112469 [ 0.49 %]\n", + "Force : 0.0466044 [ 20.45 %]\n", + "Coefs : 0.0228389 [ 10.02 %]\n", + "Output : 0.00208094 [ 0.91 %]\n", + "Levels : 0.000180827 [ 0.08 %]\n", + "Report : 1.034e-06 [ 0.00 %]\n", + "Balance : 3.91e-07 [ 0.00 %]\n", + "Adjust : 0.154534 [ 67.81 %]\n", + "Total : 0.22788 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6491 526 108 12 1 1 3 \n", + "1 : 6489 519 112 11 6 2 3 \n", + "2 : 6525 497 93 14 3 6 4 \n", + "3 : 6495 509 121 10 2 5 0 \n", + "4 : 6502 505 112 14 6 1 2 \n", + "5 : 6505 507 107 10 6 3 4 \n", + "6 : 6529 487 109 15 1 1 0 \n", + "7 : 6503 522 100 11 4 2 0 \n", + "8 : 6472 540 110 14 2 2 2 \n", + "9 : 6502 536 83 16 3 1 1 \n", + "10 : 6573 439 117 9 2 0 2 \n", + "11 : 6532 508 88 8 5 1 0 \n", + "12 : 6490 522 107 12 1 4 6 \n", + "13 : 6466 545 119 15 5 3 1 \n", + "\n", + "T : 91074 7162 1486 171 47 32 28 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.2216e-03 sec\n", + "--- Collate = 5.5606e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.552499e-05 < 1.562500e-03 [19]\n", + "--- Max DT=3.146313e-01 > 1.000000e-01 [71784]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 71784/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=54.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000455371 [ 0.20 %]\n", + "Velocity : 0.00117428 [ 0.51 %]\n", + "Force : 0.0475221 [ 20.51 %]\n", + "Coefs : 0.0236806 [ 10.22 %]\n", + "Output : 0.00220367 [ 0.95 %]\n", + "Levels : 0.000233078 [ 0.10 %]\n", + "Report : 9.4e-07 [ 0.00 %]\n", + "Balance : 5.73e-07 [ 0.00 %]\n", + "Adjust : 0.156286 [ 67.45 %]\n", + "Total : 0.231691 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6488 526 105 17 2 3 1 \n", + "1 : 6482 526 112 13 4 4 1 \n", + "2 : 6528 493 99 7 5 3 7 \n", + "3 : 6487 516 123 7 3 3 3 \n", + "4 : 6501 504 109 18 6 1 3 \n", + "5 : 6501 509 109 9 3 4 7 \n", + "6 : 6533 479 111 17 1 0 1 \n", + "7 : 6502 524 99 11 2 2 2 \n", + "8 : 6478 532 113 13 2 1 3 \n", + "9 : 6501 535 86 14 4 1 1 \n", + "10 : 6573 437 117 11 0 2 2 \n", + "11 : 6530 508 87 12 2 2 1 \n", + "12 : 6486 526 107 12 1 2 8 \n", + "13 : 6469 540 118 19 2 4 2 \n", + "\n", + "T : 91059 7155 1495 180 37 32 42 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.0237e-03 sec\n", + "--- Collate = 5.5706e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.064860e-06 < 1.562500e-03 [25]\n", + "--- Max DT=3.145444e-01 > 1.000000e-01 [71794]\n", + "----------------------------------------------------------------------\n", + " Component | low: 25/100000\n", + " Component | high: 71794/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=54.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000379926 [ 0.17 %]\n", + "Velocity : 0.00101745 [ 0.45 %]\n", + "Force : 0.0471553 [ 21.08 %]\n", + "Coefs : 0.0229598 [ 10.26 %]\n", + "Output : 0.00202047 [ 0.90 %]\n", + "Levels : 0.000158518 [ 0.07 %]\n", + "Report : 8.37e-07 [ 0.00 %]\n", + "Balance : 4.08e-07 [ 0.00 %]\n", + "Adjust : 0.149865 [ 67.00 %]\n", + "Total : 0.223686 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6486 525 108 17 1 4 1 \n", + "1 : 6478 528 112 15 4 4 1 \n", + "2 : 6531 487 102 7 6 4 5 \n", + "3 : 6483 519 125 7 2 1 5 \n", + "4 : 6500 504 109 18 6 2 3 \n", + "5 : 6502 510 106 6 7 3 8 \n", + "6 : 6532 482 108 18 1 0 1 \n", + "7 : 6507 519 98 11 1 3 3 \n", + "8 : 6475 540 106 16 2 1 2 \n", + "9 : 6506 530 85 14 5 1 1 \n", + "10 : 6573 440 113 11 1 0 4 \n", + "11 : 6536 501 89 10 1 3 2 \n", + "12 : 6485 527 111 9 1 4 5 \n", + "13 : 6467 543 115 18 5 1 5 \n", + "\n", + "T : 91061 7155 1487 177 43 31 46 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.2039e-03 sec\n", + "--- Collate = 6.0143e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.173696e-06 < 1.562500e-03 [26]\n", + "--- Max DT=3.144537e-01 > 1.000000e-01 [71806]\n", + "----------------------------------------------------------------------\n", + " Component | low: 26/100000\n", + " Component | high: 71806/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=54.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000352543 [ 0.15 %]\n", + "Velocity : 0.00109157 [ 0.48 %]\n", + "Force : 0.0469159 [ 20.48 %]\n", + "Coefs : 0.0226038 [ 9.87 %]\n", + "Output : 0.00240514 [ 1.05 %]\n", + "Levels : 0.000203595 [ 0.09 %]\n", + "Report : 1.041e-06 [ 0.00 %]\n", + "Balance : 3.37e-07 [ 0.00 %]\n", + "Adjust : 0.15537 [ 67.82 %]\n", + "Total : 0.229098 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6481 526 111 18 3 0 3 \n", + "1 : 6474 532 112 15 4 1 4 \n", + "2 : 6524 496 100 8 6 5 3 \n", + "3 : 6479 522 126 7 2 0 6 \n", + "4 : 6499 506 107 21 5 2 2 \n", + "5 : 6500 515 103 6 5 6 7 \n", + "6 : 6527 486 109 18 0 1 1 \n", + "7 : 6510 514 100 9 3 1 5 \n", + "8 : 6472 545 104 15 3 0 3 \n", + "9 : 6505 528 86 16 4 2 1 \n", + "10 : 6576 441 109 11 1 2 2 \n", + "11 : 6533 507 86 9 2 1 4 \n", + "12 : 6482 529 113 8 1 5 4 \n", + "13 : 6464 543 118 14 7 3 5 \n", + "\n", + "T : 91026 7190 1484 175 46 29 50 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.3117e-03 sec\n", + "--- Collate = 6.0273e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.272036e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.143589e-01 > 1.000000e-01 [71800]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71800/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=54.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000413239 [ 0.18 %]\n", + "Velocity : 0.00116093 [ 0.50 %]\n", + "Force : 0.0472288 [ 20.41 %]\n", + "Coefs : 0.0226308 [ 9.78 %]\n", + "Output : 0.00224376 [ 0.97 %]\n", + "Levels : 0.000186562 [ 0.08 %]\n", + "Report : 1.023e-06 [ 0.00 %]\n", + "Balance : 3.93e-07 [ 0.00 %]\n", + "Adjust : 0.157373 [ 68.01 %]\n", + "Total : 0.231382 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6478 529 111 19 2 0 3 \n", + "1 : 6473 531 111 18 4 2 3 \n", + "2 : 6524 494 101 8 7 4 4 \n", + "3 : 6480 523 122 10 2 2 3 \n", + "4 : 6495 511 111 17 2 4 2 \n", + "5 : 6493 521 105 6 7 4 6 \n", + "6 : 6528 487 110 15 0 1 1 \n", + "7 : 6507 523 94 8 4 2 4 \n", + "8 : 6477 539 104 16 3 2 1 \n", + "9 : 6504 528 89 15 4 1 1 \n", + "10 : 6577 441 107 12 2 1 2 \n", + "11 : 6532 503 89 9 3 3 3 \n", + "12 : 6478 535 111 7 5 5 1 \n", + "13 : 6465 538 121 15 7 2 6 \n", + "\n", + "T : 91011 7203 1486 175 52 33 40 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.5316e-03 sec\n", + "--- Collate = 6.0840e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.572456e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.142603e-01 > 1.000000e-01 [71790]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71790/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=55] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000424059 [ 0.17 %]\n", + "Velocity : 0.00117922 [ 0.46 %]\n", + "Force : 0.0478386 [ 18.64 %]\n", + "Coefs : 0.022411 [ 8.73 %]\n", + "Output : 0.0275322 [ 10.73 %]\n", + "Levels : 0.000256324 [ 0.10 %]\n", + "Report : 1.051e-06 [ 0.00 %]\n", + "Balance : 5.16e-07 [ 0.00 %]\n", + "Adjust : 0.156909 [ 61.13 %]\n", + "Total : 0.256696 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6480 525 114 16 4 1 2 \n", + "1 : 6475 527 111 20 5 1 3 \n", + "2 : 6519 496 106 10 4 3 4 \n", + "3 : 6477 526 120 11 2 4 2 \n", + "4 : 6492 514 111 15 5 3 2 \n", + "5 : 6487 527 104 8 7 5 4 \n", + "6 : 6526 488 110 15 2 0 1 \n", + "7 : 6507 522 97 6 5 3 2 \n", + "8 : 6474 541 105 17 2 3 0 \n", + "9 : 6503 528 89 14 3 3 2 \n", + "10 : 6574 447 103 13 2 3 0 \n", + "11 : 6528 507 90 7 5 2 3 \n", + "12 : 6478 538 109 8 6 1 2 \n", + "13 : 6464 534 126 15 6 5 4 \n", + "\n", + "T : 90984 7220 1495 175 58 37 31 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.4946e-03 sec\n", + "--- Collate = 6.2390e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.578610e-06 < 1.562500e-03 [8]\n", + "--- Max DT=3.141577e-01 > 1.000000e-01 [71810]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71810/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=55.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000604475 [ 0.26 %]\n", + "Velocity : 0.00158255 [ 0.69 %]\n", + "Force : 0.0476072 [ 20.87 %]\n", + "Coefs : 0.0238673 [ 10.46 %]\n", + "Output : 0.0020241 [ 0.89 %]\n", + "Levels : 0.000217751 [ 0.10 %]\n", + "Report : 1.056e-06 [ 0.00 %]\n", + "Balance : 3.83e-07 [ 0.00 %]\n", + "Adjust : 0.152111 [ 66.67 %]\n", + "Total : 0.228156 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6471 535 114 16 3 3 0 \n", + "1 : 6471 530 116 19 3 2 1 \n", + "2 : 6519 497 108 7 6 2 3 \n", + "3 : 6475 525 121 13 5 2 1 \n", + "4 : 6490 513 119 10 5 3 2 \n", + "5 : 6486 526 106 7 7 5 5 \n", + "6 : 6523 494 108 14 2 0 1 \n", + "7 : 6503 525 101 3 5 5 0 \n", + "8 : 6474 542 102 17 5 2 0 \n", + "9 : 6500 532 88 12 5 2 3 \n", + "10 : 6572 451 100 13 5 0 1 \n", + "11 : 6527 506 92 8 3 4 2 \n", + "12 : 6482 530 113 11 3 1 2 \n", + "13 : 6465 525 135 15 5 5 4 \n", + "\n", + "T : 90958 7231 1523 165 62 36 25 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.4378e-03 sec\n", + "--- Collate = 6.0277e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.574122e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.140515e-01 > 1.000000e-01 [71802]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71802/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=55.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000461033 [ 0.20 %]\n", + "Velocity : 0.00119138 [ 0.51 %]\n", + "Force : 0.0475578 [ 20.31 %]\n", + "Coefs : 0.0230771 [ 9.86 %]\n", + "Output : 0.00239149 [ 1.02 %]\n", + "Levels : 0.000166841 [ 0.07 %]\n", + "Report : 8.31e-07 [ 0.00 %]\n", + "Balance : 6.85e-07 [ 0.00 %]\n", + "Adjust : 0.159106 [ 67.96 %]\n", + "Total : 0.23411 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6470 532 118 15 5 2 0 \n", + "1 : 6469 532 113 18 6 3 1 \n", + "2 : 6521 495 109 8 4 3 2 \n", + "3 : 6480 521 122 13 3 2 1 \n", + "4 : 6490 511 120 10 7 1 3 \n", + "5 : 6486 527 105 10 6 4 4 \n", + "6 : 6522 497 106 14 2 1 0 \n", + "7 : 6503 526 99 4 8 2 0 \n", + "8 : 6474 543 105 12 5 2 1 \n", + "9 : 6500 530 91 12 4 1 4 \n", + "10 : 6568 453 104 11 4 1 1 \n", + "11 : 6530 501 94 7 3 4 3 \n", + "12 : 6483 531 111 10 5 1 1 \n", + "13 : 6465 525 137 14 6 4 3 \n", + "\n", + "T : 90961 7224 1534 158 68 31 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.1168e-03 sec\n", + "--- Collate = 5.6931e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.927742e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.139415e-01 > 1.000000e-01 [71795]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71795/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=55.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0004228 [ 0.19 %]\n", + "Velocity : 0.00108552 [ 0.48 %]\n", + "Force : 0.0470778 [ 20.69 %]\n", + "Coefs : 0.0226622 [ 9.96 %]\n", + "Output : 0.00193199 [ 0.85 %]\n", + "Levels : 0.000182407 [ 0.08 %]\n", + "Report : 8.64e-07 [ 0.00 %]\n", + "Balance : 4.44e-07 [ 0.00 %]\n", + "Adjust : 0.154048 [ 67.70 %]\n", + "Total : 0.227545 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6464 539 118 14 6 0 1 \n", + "1 : 6474 523 118 17 5 3 2 \n", + "2 : 6524 498 103 8 5 2 2 \n", + "3 : 6476 523 123 13 5 2 0 \n", + "4 : 6492 503 123 15 4 2 3 \n", + "5 : 6486 524 108 11 8 2 3 \n", + "6 : 6520 500 105 12 3 2 0 \n", + "7 : 6504 523 100 9 5 1 0 \n", + "8 : 6469 548 105 13 4 2 1 \n", + "9 : 6503 526 92 13 1 3 4 \n", + "10 : 6571 450 102 12 5 0 2 \n", + "11 : 6522 510 90 11 2 4 3 \n", + "12 : 6479 538 104 15 2 4 0 \n", + "13 : 6463 524 141 16 3 4 3 \n", + "\n", + "T : 90947 7229 1532 179 58 31 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.8314e-03 sec\n", + "--- Collate = 6.1957e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.353146e-04 < 1.562500e-03 [10]\n", + "--- Max DT=3.138279e-01 > 1.000000e-01 [71807]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71807/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=55.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000356846 [ 0.16 %]\n", + "Velocity : 0.00111219 [ 0.49 %]\n", + "Force : 0.0458838 [ 20.14 %]\n", + "Coefs : 0.0230311 [ 10.11 %]\n", + "Output : 0.00193195 [ 0.85 %]\n", + "Levels : 0.00019025 [ 0.08 %]\n", + "Report : 9.34e-07 [ 0.00 %]\n", + "Balance : 3.22e-07 [ 0.00 %]\n", + "Adjust : 0.155137 [ 68.11 %]\n", + "Total : 0.227786 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6461 538 122 15 3 2 1 \n", + "1 : 6468 523 125 15 7 1 3 \n", + "2 : 6523 499 99 12 6 2 1 \n", + "3 : 6474 523 123 15 5 2 0 \n", + "4 : 6484 509 124 16 2 4 3 \n", + "5 : 6488 524 107 15 3 4 1 \n", + "6 : 6526 494 104 13 4 1 0 \n", + "7 : 6498 529 101 11 2 1 0 \n", + "8 : 6467 548 108 12 4 1 2 \n", + "9 : 6499 528 96 10 3 2 4 \n", + "10 : 6573 448 100 13 4 2 2 \n", + "11 : 6518 513 92 12 1 3 3 \n", + "12 : 6477 542 102 15 3 1 2 \n", + "13 : 6457 529 141 16 6 2 3 \n", + "\n", + "T : 90913 7247 1544 190 53 28 25 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.3865e-03 sec\n", + "--- Collate = 7.3269e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.303696e-04 < 1.562500e-03 [13]\n", + "--- Max DT=3.137109e-01 > 1.000000e-01 [71811]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71811/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=55.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00039985 [ 0.18 %]\n", + "Velocity : 0.00114161 [ 0.50 %]\n", + "Force : 0.0473861 [ 20.82 %]\n", + "Coefs : 0.0227786 [ 10.01 %]\n", + "Output : 0.00188773 [ 0.83 %]\n", + "Levels : 0.000180998 [ 0.08 %]\n", + "Report : 8.87e-07 [ 0.00 %]\n", + "Balance : 3.87e-07 [ 0.00 %]\n", + "Adjust : 0.153644 [ 67.52 %]\n", + "Total : 0.227557 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6458 541 119 21 0 2 1 \n", + "1 : 6469 526 123 13 7 0 4 \n", + "2 : 6522 503 96 14 4 1 2 \n", + "3 : 6473 524 125 14 5 1 0 \n", + "4 : 6481 507 128 15 4 4 3 \n", + "5 : 6483 530 104 14 6 5 0 \n", + "6 : 6531 484 108 12 6 0 1 \n", + "7 : 6498 524 105 12 1 2 0 \n", + "8 : 6469 547 106 11 5 2 2 \n", + "9 : 6497 528 100 10 4 0 3 \n", + "10 : 6567 452 102 13 3 3 2 \n", + "11 : 6517 512 95 11 2 3 2 \n", + "12 : 6475 542 104 16 2 0 3 \n", + "13 : 6457 531 140 15 7 3 1 \n", + "\n", + "T : 90897 7251 1555 191 56 26 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.9629e-03 sec\n", + "--- Collate = 5.3047e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.632194e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.135904e-01 > 1.000000e-01 [71796]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71796/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=55.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000407339 [ 0.18 %]\n", + "Velocity : 0.00105637 [ 0.47 %]\n", + "Force : 0.0476074 [ 21.24 %]\n", + "Coefs : 0.0224324 [ 10.01 %]\n", + "Output : 0.00174074 [ 0.78 %]\n", + "Levels : 0.000178637 [ 0.08 %]\n", + "Report : 5.78e-07 [ 0.00 %]\n", + "Balance : 3.27e-07 [ 0.00 %]\n", + "Adjust : 0.150552 [ 67.18 %]\n", + "Total : 0.224102 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6459 543 120 16 1 1 2 \n", + "1 : 6461 537 120 16 3 3 2 \n", + "2 : 6521 504 96 15 3 1 2 \n", + "3 : 6469 530 123 14 5 1 0 \n", + "4 : 6483 505 130 15 3 1 5 \n", + "5 : 6481 533 103 15 6 3 1 \n", + "6 : 6528 484 109 16 3 1 1 \n", + "7 : 6494 528 106 10 2 2 0 \n", + "8 : 6469 548 105 12 5 1 2 \n", + "9 : 6493 532 100 8 3 3 3 \n", + "10 : 6564 450 108 12 2 2 4 \n", + "11 : 6512 517 94 11 4 3 1 \n", + "12 : 6475 539 106 17 2 0 3 \n", + "13 : 6456 533 139 15 8 1 2 \n", + "\n", + "T : 90865 7283 1559 192 50 23 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.3349e-03 sec\n", + "--- Collate = 5.6180e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.049888e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.134663e-01 > 1.000000e-01 [71798]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71798/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=55.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000336352 [ 0.15 %]\n", + "Velocity : 0.00102115 [ 0.45 %]\n", + "Force : 0.0461156 [ 20.40 %]\n", + "Coefs : 0.0224676 [ 9.94 %]\n", + "Output : 0.00195608 [ 0.87 %]\n", + "Levels : 0.000193595 [ 0.09 %]\n", + "Report : 8.98e-07 [ 0.00 %]\n", + "Balance : 4.56e-07 [ 0.00 %]\n", + "Adjust : 0.153875 [ 68.06 %]\n", + "Total : 0.226099 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6455 548 117 16 4 0 2 \n", + "1 : 6455 549 115 14 3 4 2 \n", + "2 : 6516 508 97 14 4 0 3 \n", + "3 : 6465 533 126 11 5 2 0 \n", + "4 : 6485 508 126 16 1 3 3 \n", + "5 : 6477 537 104 14 5 4 1 \n", + "6 : 6524 486 112 16 2 0 2 \n", + "7 : 6485 536 110 6 3 1 1 \n", + "8 : 6469 549 104 13 2 4 1 \n", + "9 : 6497 525 99 11 3 6 1 \n", + "10 : 6567 446 109 11 3 2 4 \n", + "11 : 6509 518 96 12 4 3 0 \n", + "12 : 6469 542 110 16 2 2 1 \n", + "13 : 6457 532 137 21 3 1 3 \n", + "\n", + "T : 90830 7317 1562 191 44 32 24 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.0032e-03 sec\n", + "--- Collate = 5.2126e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.121021e-04 < 1.562500e-03 [8]\n", + "--- Max DT=3.133385e-01 > 1.000000e-01 [71788]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71788/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=55.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00042856 [ 0.19 %]\n", + "Velocity : 0.0010929 [ 0.48 %]\n", + "Force : 0.0467838 [ 20.69 %]\n", + "Coefs : 0.0227095 [ 10.04 %]\n", + "Output : 0.00188868 [ 0.84 %]\n", + "Levels : 0.000186592 [ 0.08 %]\n", + "Report : 8.24e-07 [ 0.00 %]\n", + "Balance : 3.15e-07 [ 0.00 %]\n", + "Adjust : 0.152884 [ 67.61 %]\n", + "Total : 0.226114 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6453 552 115 15 4 1 2 \n", + "1 : 6456 545 118 14 5 2 2 \n", + "2 : 6518 508 98 11 4 2 1 \n", + "3 : 6467 533 125 10 3 3 1 \n", + "4 : 6484 510 123 17 3 3 2 \n", + "5 : 6478 532 110 13 5 1 3 \n", + "6 : 6520 492 111 14 3 1 1 \n", + "7 : 6480 546 107 4 2 2 1 \n", + "8 : 6472 545 106 14 1 2 2 \n", + "9 : 6490 533 97 11 3 5 3 \n", + "10 : 6565 449 109 10 4 1 4 \n", + "11 : 6509 518 96 14 3 0 2 \n", + "12 : 6465 543 114 12 5 3 0 \n", + "13 : 6454 535 137 22 2 0 4 \n", + "\n", + "T : 90811 7341 1566 181 47 26 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.3807e-03 sec\n", + "--- Collate = 7.3089e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.536392e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.132069e-01 > 1.000000e-01 [71784]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71784/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=55.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000343603 [ 0.15 %]\n", + "Velocity : 0.00104526 [ 0.46 %]\n", + "Force : 0.045912 [ 20.27 %]\n", + "Coefs : 0.0233989 [ 10.33 %]\n", + "Output : 0.00208025 [ 0.92 %]\n", + "Levels : 0.000171915 [ 0.08 %]\n", + "Report : 1.009e-06 [ 0.00 %]\n", + "Balance : 5.05e-07 [ 0.00 %]\n", + "Adjust : 0.153373 [ 67.73 %]\n", + "Total : 0.226464 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6448 560 115 12 5 1 1 \n", + "1 : 6456 543 120 14 6 1 2 \n", + "2 : 6517 510 94 15 2 3 1 \n", + "3 : 6465 535 124 11 3 2 2 \n", + "4 : 6480 514 119 20 5 3 1 \n", + "5 : 6475 532 112 13 6 2 2 \n", + "6 : 6516 497 107 17 2 1 2 \n", + "7 : 6481 545 106 5 2 2 1 \n", + "8 : 6470 546 108 12 1 2 3 \n", + "9 : 6485 539 97 10 5 2 4 \n", + "10 : 6564 450 108 11 4 4 1 \n", + "11 : 6507 521 93 14 3 2 2 \n", + "12 : 6457 553 113 10 6 3 0 \n", + "13 : 6454 536 137 20 2 2 3 \n", + "\n", + "T : 90775 7381 1553 184 52 30 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 7.9153e-03 sec\n", + "--- Collate = 4.8388e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.843474e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.130715e-01 > 1.000000e-01 [71769]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71769/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=56] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00050013 [ 0.20 %]\n", + "Velocity : 0.00110331 [ 0.44 %]\n", + "Force : 0.0478809 [ 18.96 %]\n", + "Coefs : 0.0225085 [ 8.91 %]\n", + "Output : 0.0277019 [ 10.97 %]\n", + "Levels : 0.000181504 [ 0.07 %]\n", + "Report : 1.178e-06 [ 0.00 %]\n", + "Balance : 4.04e-07 [ 0.00 %]\n", + "Adjust : 0.152544 [ 60.40 %]\n", + "Total : 0.252552 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6446 563 114 11 5 2 1 \n", + "1 : 6456 539 124 14 6 0 3 \n", + "2 : 6515 511 96 14 2 3 1 \n", + "3 : 6468 531 126 12 2 1 2 \n", + "4 : 6480 512 123 21 5 0 1 \n", + "5 : 6472 536 110 13 5 4 2 \n", + "6 : 6517 493 111 15 2 2 2 \n", + "7 : 6480 545 108 3 4 0 2 \n", + "8 : 6472 543 108 13 0 4 2 \n", + "9 : 6482 543 94 12 4 2 5 \n", + "10 : 6565 452 106 9 8 1 1 \n", + "11 : 6498 530 95 12 3 1 3 \n", + "12 : 6453 557 117 6 6 0 3 \n", + "13 : 6453 538 132 23 4 2 2 \n", + "\n", + "T : 90757 7393 1564 178 56 22 30 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.4425e-03 sec\n", + "--- Collate = 6.7156e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.435450e-04 < 1.562500e-03 [15]\n", + "--- Max DT=3.130535e-01 > 1.000000e-01 [71738]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71738/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=56.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000447742 [ 0.20 %]\n", + "Velocity : 0.00144467 [ 0.63 %]\n", + "Force : 0.0483604 [ 21.15 %]\n", + "Coefs : 0.0223593 [ 9.78 %]\n", + "Output : 0.00232437 [ 1.02 %]\n", + "Levels : 0.000195567 [ 0.09 %]\n", + "Report : 8.54e-07 [ 0.00 %]\n", + "Balance : 4.05e-07 [ 0.00 %]\n", + "Adjust : 0.153397 [ 67.08 %]\n", + "Total : 0.228677 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6446 555 120 10 7 2 2 \n", + "1 : 6459 535 125 16 4 1 2 \n", + "2 : 6518 505 100 13 2 2 2 \n", + "3 : 6470 531 125 11 1 3 1 \n", + "4 : 6477 513 122 24 4 2 0 \n", + "5 : 6475 531 113 11 6 5 1 \n", + "6 : 6514 497 110 13 4 1 3 \n", + "7 : 6480 544 108 5 2 1 2 \n", + "8 : 6474 540 108 14 2 3 1 \n", + "9 : 6481 543 93 14 5 3 3 \n", + "10 : 6562 451 109 11 8 1 0 \n", + "11 : 6499 529 95 13 1 4 1 \n", + "12 : 6450 559 116 10 2 2 3 \n", + "13 : 6447 542 132 24 5 3 1 \n", + "\n", + "T : 90752 7375 1576 189 53 33 22 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.4749e-03 sec\n", + "--- Collate = 5.3807e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.834278e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.132301e-01 > 1.000000e-01 [71739]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71739/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=56.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000501521 [ 0.22 %]\n", + "Velocity : 0.0012113 [ 0.52 %]\n", + "Force : 0.0477607 [ 20.60 %]\n", + "Coefs : 0.0230146 [ 9.93 %]\n", + "Output : 0.00226135 [ 0.98 %]\n", + "Levels : 0.000197852 [ 0.09 %]\n", + "Report : 1.04e-06 [ 0.00 %]\n", + "Balance : 5.06e-07 [ 0.00 %]\n", + "Adjust : 0.156775 [ 67.61 %]\n", + "Total : 0.231873 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6447 552 122 11 5 1 4 \n", + "1 : 6460 530 127 16 7 0 2 \n", + "2 : 6517 506 101 11 4 0 3 \n", + "3 : 6467 533 125 11 4 0 2 \n", + "4 : 6476 514 120 23 6 2 1 \n", + "5 : 6469 535 113 13 7 2 3 \n", + "6 : 6514 494 112 13 5 2 2 \n", + "7 : 6477 548 106 7 0 1 3 \n", + "8 : 6474 541 107 12 6 2 0 \n", + "9 : 6487 537 94 12 4 7 1 \n", + "10 : 6560 454 107 15 5 0 1 \n", + "11 : 6505 523 95 12 3 2 2 \n", + "12 : 6445 562 119 10 0 2 4 \n", + "13 : 6446 542 133 21 9 2 1 \n", + "\n", + "T : 90744 7371 1581 187 65 23 29 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.2053e-03 sec\n", + "--- Collate = 5.3854e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.793820e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.134035e-01 > 1.000000e-01 [71734]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71734/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=56.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000399845 [ 0.18 %]\n", + "Velocity : 0.00119098 [ 0.52 %]\n", + "Force : 0.0467648 [ 20.48 %]\n", + "Coefs : 0.0232352 [ 10.18 %]\n", + "Output : 0.00207145 [ 0.91 %]\n", + "Levels : 0.000175883 [ 0.08 %]\n", + "Report : 8.68e-07 [ 0.00 %]\n", + "Balance : 3.38e-07 [ 0.00 %]\n", + "Adjust : 0.154352 [ 67.60 %]\n", + "Total : 0.228333 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6450 550 124 11 0 3 4 \n", + "1 : 6461 529 124 19 7 2 0 \n", + "2 : 6511 512 101 11 4 1 2 \n", + "3 : 6467 533 125 12 2 2 1 \n", + "4 : 6476 512 125 17 9 1 2 \n", + "5 : 6471 533 116 13 3 3 3 \n", + "6 : 6511 498 111 11 8 1 2 \n", + "7 : 6477 548 105 8 0 2 2 \n", + "8 : 6471 541 109 14 5 1 1 \n", + "9 : 6484 540 95 11 5 5 2 \n", + "10 : 6562 452 108 15 3 1 1 \n", + "11 : 6506 520 96 13 4 2 1 \n", + "12 : 6447 555 123 11 0 3 3 \n", + "13 : 6441 551 131 19 8 2 2 \n", + "\n", + "T : 90735 7374 1593 185 58 29 26 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.4458e-03 sec\n", + "--- Collate = 7.5800e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.933413e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.135737e-01 > 1.000000e-01 [71743]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71743/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=56.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000374964 [ 0.16 %]\n", + "Velocity : 0.00114683 [ 0.49 %]\n", + "Force : 0.0473179 [ 20.31 %]\n", + "Coefs : 0.0239956 [ 10.30 %]\n", + "Output : 0.00224525 [ 0.96 %]\n", + "Levels : 0.000217252 [ 0.09 %]\n", + "Report : 6.77e-07 [ 0.00 %]\n", + "Balance : 4.94e-07 [ 0.00 %]\n", + "Adjust : 0.157549 [ 67.62 %]\n", + "Total : 0.232991 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6445 552 127 11 1 2 4 \n", + "1 : 6462 528 124 19 7 2 0 \n", + "2 : 6506 519 100 10 4 2 1 \n", + "3 : 6460 537 128 13 3 0 1 \n", + "4 : 6473 515 125 17 8 2 2 \n", + "5 : 6469 533 117 15 3 1 4 \n", + "6 : 6514 493 114 9 9 2 1 \n", + "7 : 6477 548 105 7 2 1 2 \n", + "8 : 6466 548 109 13 4 1 1 \n", + "9 : 6484 539 93 16 6 1 3 \n", + "10 : 6556 459 107 13 4 3 0 \n", + "11 : 6503 523 98 10 6 0 2 \n", + "12 : 6438 566 121 11 1 2 3 \n", + "13 : 6434 562 129 15 9 3 2 \n", + "\n", + "T : 90687 7422 1597 179 67 22 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.5628e-03 sec\n", + "--- Collate = 5.4893e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.166109e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.137402e-01 > 1.000000e-01 [71728]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71728/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=56.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000546777 [ 0.23 %]\n", + "Velocity : 0.00136283 [ 0.58 %]\n", + "Force : 0.0482011 [ 20.52 %]\n", + "Coefs : 0.023578 [ 10.04 %]\n", + "Output : 0.00225778 [ 0.96 %]\n", + "Levels : 0.000222065 [ 0.09 %]\n", + "Report : 1.014e-06 [ 0.00 %]\n", + "Balance : 7.08e-07 [ 0.00 %]\n", + "Adjust : 0.158556 [ 67.51 %]\n", + "Total : 0.234879 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6441 552 131 11 2 2 3 \n", + "1 : 6456 532 124 23 6 0 1 \n", + "2 : 6507 517 103 9 4 1 1 \n", + "3 : 6456 536 134 11 4 1 0 \n", + "4 : 6467 520 125 18 6 3 3 \n", + "5 : 6467 538 116 12 3 4 2 \n", + "6 : 6511 498 110 13 6 3 1 \n", + "7 : 6476 549 105 8 2 1 1 \n", + "8 : 6467 547 111 14 0 2 1 \n", + "9 : 6483 535 98 14 9 0 3 \n", + "10 : 6555 460 106 15 3 2 1 \n", + "11 : 6500 526 98 9 5 2 2 \n", + "12 : 6442 558 124 12 3 2 1 \n", + "13 : 6433 568 126 12 10 2 3 \n", + "\n", + "T : 90661 7436 1611 181 63 25 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.5873e-03 sec\n", + "--- Collate = 5.4474e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.814904e-06 < 1.562500e-03 [8]\n", + "--- Max DT=3.139027e-01 > 1.000000e-01 [71723]\n", + "----------------------------------------------------------------------\n", + " Component | low: 8/100000\n", + " Component | high: 71723/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=56.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000442904 [ 0.19 %]\n", + "Velocity : 0.00121 [ 0.52 %]\n", + "Force : 0.0481684 [ 20.81 %]\n", + "Coefs : 0.0227767 [ 9.84 %]\n", + "Output : 0.00229565 [ 0.99 %]\n", + "Levels : 0.00017256 [ 0.07 %]\n", + "Report : 9.84e-07 [ 0.00 %]\n", + "Balance : 3.61e-07 [ 0.00 %]\n", + "Adjust : 0.156259 [ 67.51 %]\n", + "Total : 0.231475 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6441 549 131 15 1 3 2 \n", + "1 : 6451 537 124 22 6 1 1 \n", + "2 : 6513 511 102 11 3 1 1 \n", + "3 : 6451 545 129 13 4 0 0 \n", + "4 : 6464 523 124 17 5 7 2 \n", + "5 : 6461 545 115 13 4 1 3 \n", + "6 : 6516 490 112 14 4 6 0 \n", + "7 : 6474 550 106 7 3 1 1 \n", + "8 : 6464 548 113 13 2 1 1 \n", + "9 : 6487 531 97 17 4 5 1 \n", + "10 : 6557 455 109 13 5 2 1 \n", + "11 : 6492 532 100 9 3 4 2 \n", + "12 : 6442 558 123 12 4 3 0 \n", + "13 : 6426 575 126 14 6 5 2 \n", + "\n", + "T : 90639 7449 1611 190 54 40 17 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.4613e-03 sec\n", + "--- Collate = 5.5393e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.693236e-07 < 1.562500e-03 [9]\n", + "--- Max DT=3.140608e-01 > 1.000000e-01 [71725]\n", + "----------------------------------------------------------------------\n", + " Component | low: 9/100000\n", + " Component | high: 71725/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=56.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000410034 [ 0.18 %]\n", + "Velocity : 0.00135504 [ 0.58 %]\n", + "Force : 0.0479981 [ 20.62 %]\n", + "Coefs : 0.0228846 [ 9.83 %]\n", + "Output : 0.00211394 [ 0.91 %]\n", + "Levels : 0.000187975 [ 0.08 %]\n", + "Report : 9.99e-07 [ 0.00 %]\n", + "Balance : 3.63e-07 [ 0.00 %]\n", + "Adjust : 0.157714 [ 67.75 %]\n", + "Total : 0.232803 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6438 547 135 14 5 3 0 \n", + "1 : 6448 539 127 19 7 1 1 \n", + "2 : 6511 511 104 10 2 3 1 \n", + "3 : 6450 541 133 14 3 1 0 \n", + "4 : 6465 519 127 17 4 6 4 \n", + "5 : 6466 535 120 13 4 3 1 \n", + "6 : 6517 491 109 16 4 2 3 \n", + "7 : 6473 552 106 7 2 1 1 \n", + "8 : 6466 546 114 11 3 1 1 \n", + "9 : 6489 525 102 16 6 4 0 \n", + "10 : 6553 458 106 16 6 0 3 \n", + "11 : 6492 531 98 13 3 1 4 \n", + "12 : 6445 557 119 13 7 1 0 \n", + "13 : 6424 579 125 17 3 2 4 \n", + "\n", + "T : 90637 7431 1625 196 59 29 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.4404e-03 sec\n", + "--- Collate = 5.7905e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.556320e-05 < 1.562500e-03 [20]\n", + "--- Max DT=3.142147e-01 > 1.000000e-01 [71730]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 71730/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=56.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00048282 [ 0.21 %]\n", + "Velocity : 0.00116712 [ 0.50 %]\n", + "Force : 0.0491753 [ 21.25 %]\n", + "Coefs : 0.0229077 [ 9.90 %]\n", + "Output : 0.00198237 [ 0.86 %]\n", + "Levels : 0.00021965 [ 0.09 %]\n", + "Report : 8.46e-07 [ 0.00 %]\n", + "Balance : 4.91e-07 [ 0.00 %]\n", + "Adjust : 0.155292 [ 67.12 %]\n", + "Total : 0.231369 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6436 549 135 14 5 3 0 \n", + "1 : 6445 544 125 20 4 3 1 \n", + "2 : 6513 507 106 10 3 1 2 \n", + "3 : 6444 554 127 14 2 0 1 \n", + "4 : 6464 526 126 14 3 3 6 \n", + "5 : 6461 540 117 17 4 2 1 \n", + "6 : 6512 498 105 18 4 1 4 \n", + "7 : 6479 546 106 7 2 2 0 \n", + "8 : 6465 550 109 12 4 0 2 \n", + "9 : 6490 526 100 17 6 1 2 \n", + "10 : 6547 465 105 16 4 3 2 \n", + "11 : 6494 529 100 10 4 1 4 \n", + "12 : 6448 554 116 15 7 1 1 \n", + "13 : 6427 572 131 15 2 2 5 \n", + "\n", + "T : 90625 7460 1608 199 54 23 31 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.1522e-03 sec\n", + "--- Collate = 4.9236e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.226979e-05 < 1.562500e-03 [18]\n", + "--- Max DT=3.143643e-01 > 1.000000e-01 [71732]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 71732/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=56.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000417755 [ 0.18 %]\n", + "Velocity : 0.00114906 [ 0.50 %]\n", + "Force : 0.0474724 [ 20.53 %]\n", + "Coefs : 0.0227352 [ 9.83 %]\n", + "Output : 0.00203362 [ 0.88 %]\n", + "Levels : 0.000164137 [ 0.07 %]\n", + "Report : 8.37e-07 [ 0.00 %]\n", + "Balance : 4.39e-07 [ 0.00 %]\n", + "Adjust : 0.157134 [ 67.95 %]\n", + "Total : 0.231246 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6435 549 136 13 7 2 0 \n", + "1 : 6445 541 127 23 2 2 2 \n", + "2 : 6509 515 103 9 3 2 1 \n", + "3 : 6443 553 127 16 1 1 1 \n", + "4 : 6463 531 124 13 2 2 7 \n", + "5 : 6464 532 120 19 4 1 2 \n", + "6 : 6513 497 106 16 3 2 5 \n", + "7 : 6480 547 102 8 3 1 1 \n", + "8 : 6465 549 110 14 2 1 1 \n", + "9 : 6490 523 101 20 4 2 2 \n", + "10 : 6551 463 105 14 4 3 2 \n", + "11 : 6496 527 99 11 3 2 4 \n", + "12 : 6454 548 116 18 4 0 2 \n", + "13 : 6426 574 129 17 2 1 5 \n", + "\n", + "T : 90634 7449 1605 211 44 22 35 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.2482e-03 sec\n", + "--- Collate = 3.9773e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.297444e-04 < 1.562500e-03 [13]\n", + "--- Max DT=3.145099e-01 > 1.000000e-01 [71709]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71709/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=57] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00036673 [ 0.15 %]\n", + "Velocity : 0.00109532 [ 0.44 %]\n", + "Force : 0.0458122 [ 18.41 %]\n", + "Coefs : 0.0222566 [ 8.94 %]\n", + "Output : 0.0275814 [ 11.08 %]\n", + "Levels : 0.000237973 [ 0.10 %]\n", + "Report : 1.334e-06 [ 0.00 %]\n", + "Balance : 7.31e-07 [ 0.00 %]\n", + "Adjust : 0.151372 [ 60.83 %]\n", + "Total : 0.248855 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6437 542 141 14 6 0 2 \n", + "1 : 6440 548 128 19 3 1 3 \n", + "2 : 6508 514 105 8 4 1 2 \n", + "3 : 6450 546 128 15 1 0 2 \n", + "4 : 6462 531 125 13 4 2 5 \n", + "5 : 6462 538 115 19 4 3 1 \n", + "6 : 6515 495 109 13 3 5 2 \n", + "7 : 6480 546 104 6 4 1 1 \n", + "8 : 6464 548 112 13 3 1 1 \n", + "9 : 6492 518 105 18 3 4 2 \n", + "10 : 6546 469 103 14 6 3 1 \n", + "11 : 6493 531 98 10 4 4 2 \n", + "12 : 6454 550 115 18 3 0 2 \n", + "13 : 6427 571 135 13 3 3 2 \n", + "\n", + "T : 90630 7447 1623 193 51 28 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 7.9767e-03 sec\n", + "--- Collate = 5.2876e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.972692e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.146516e-01 > 1.000000e-01 [71683]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71683/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=57.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000398448 [ 0.18 %]\n", + "Velocity : 0.00143289 [ 0.64 %]\n", + "Force : 0.0479374 [ 21.29 %]\n", + "Coefs : 0.0226984 [ 10.08 %]\n", + "Output : 0.00175084 [ 0.78 %]\n", + "Levels : 0.000248766 [ 0.11 %]\n", + "Report : 8.31e-07 [ 0.00 %]\n", + "Balance : 5.31e-07 [ 0.00 %]\n", + "Adjust : 0.150531 [ 66.87 %]\n", + "Total : 0.225125 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6430 550 140 16 4 0 2 \n", + "1 : 6434 558 121 21 3 1 4 \n", + "2 : 6505 515 106 8 3 3 2 \n", + "3 : 6451 546 128 13 2 1 1 \n", + "4 : 6460 534 124 12 5 5 2 \n", + "5 : 6458 539 119 17 6 1 2 \n", + "6 : 6513 497 109 12 3 4 4 \n", + "7 : 6478 544 108 7 3 1 1 \n", + "8 : 6465 547 111 14 2 3 0 \n", + "9 : 6491 517 109 17 2 3 3 \n", + "10 : 6536 478 105 9 12 1 1 \n", + "11 : 6493 527 102 10 6 2 2 \n", + "12 : 6459 547 113 18 2 2 1 \n", + "13 : 6431 566 134 17 2 4 0 \n", + "\n", + "T : 90604 7465 1629 191 55 31 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.0859e-03 sec\n", + "--- Collate = 5.0904e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.471776e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.147896e-01 > 1.000000e-01 [71672]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71672/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=57.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000387013 [ 0.17 %]\n", + "Velocity : 0.000944701 [ 0.42 %]\n", + "Force : 0.0467765 [ 21.02 %]\n", + "Coefs : 0.0236046 [ 10.61 %]\n", + "Output : 0.00198179 [ 0.89 %]\n", + "Levels : 0.000204482 [ 0.09 %]\n", + "Report : 8.39e-07 [ 0.00 %]\n", + "Balance : 3.96e-07 [ 0.00 %]\n", + "Adjust : 0.148472 [ 66.73 %]\n", + "Total : 0.222502 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6430 547 143 17 2 1 2 \n", + "1 : 6429 562 124 19 3 1 4 \n", + "2 : 6509 509 110 8 2 1 3 \n", + "3 : 6446 554 120 18 2 1 1 \n", + "4 : 6460 531 128 12 5 4 2 \n", + "5 : 6454 543 118 19 5 1 2 \n", + "6 : 6507 505 108 11 4 2 5 \n", + "7 : 6478 539 111 9 3 1 1 \n", + "8 : 6463 547 113 13 2 3 1 \n", + "9 : 6487 522 106 17 5 1 4 \n", + "10 : 6534 477 108 8 11 4 0 \n", + "11 : 6496 525 102 10 6 1 2 \n", + "12 : 6461 545 116 12 5 3 0 \n", + "13 : 6423 570 134 17 9 1 0 \n", + "\n", + "T : 90577 7476 1641 190 64 25 27 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.4788e-03 sec\n", + "--- Collate = 5.8842e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.856167e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.149240e-01 > 1.000000e-01 [71668]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71668/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=57.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000328163 [ 0.15 %]\n", + "Velocity : 0.00097131 [ 0.43 %]\n", + "Force : 0.0470468 [ 20.80 %]\n", + "Coefs : 0.0230313 [ 10.18 %]\n", + "Output : 0.00182297 [ 0.81 %]\n", + "Levels : 0.000189255 [ 0.08 %]\n", + "Report : 9.58e-07 [ 0.00 %]\n", + "Balance : 5.26e-07 [ 0.00 %]\n", + "Adjust : 0.152638 [ 67.49 %]\n", + "Total : 0.226156 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6432 551 136 18 1 3 1 \n", + "1 : 6428 560 124 22 3 2 3 \n", + "2 : 6501 518 107 10 2 2 2 \n", + "3 : 6445 554 120 19 2 2 0 \n", + "4 : 6458 529 133 10 7 2 3 \n", + "5 : 6458 541 115 20 4 3 1 \n", + "6 : 6503 510 105 14 4 0 6 \n", + "7 : 6474 543 113 7 2 2 1 \n", + "8 : 6464 550 106 15 3 2 2 \n", + "9 : 6483 522 112 13 5 3 4 \n", + "10 : 6532 478 109 12 6 4 1 \n", + "11 : 6493 530 100 15 2 1 1 \n", + "12 : 6459 545 115 16 5 2 0 \n", + "13 : 6417 578 132 17 9 1 0 \n", + "\n", + "T : 90547 7509 1627 208 55 29 25 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.5641e-03 sec\n", + "--- Collate = 5.3807e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.067854e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.150543e-01 > 1.000000e-01 [71667]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71667/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=57.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00038299 [ 0.17 %]\n", + "Velocity : 0.0010514 [ 0.47 %]\n", + "Force : 0.0464897 [ 20.60 %]\n", + "Coefs : 0.0233024 [ 10.33 %]\n", + "Output : 0.00211954 [ 0.94 %]\n", + "Levels : 0.000234282 [ 0.10 %]\n", + "Report : 1.072e-06 [ 0.00 %]\n", + "Balance : 5.05e-07 [ 0.00 %]\n", + "Adjust : 0.15195 [ 67.33 %]\n", + "Total : 0.225668 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6430 550 139 17 5 0 1 \n", + "1 : 6422 568 122 20 5 4 1 \n", + "2 : 6501 520 105 11 1 0 4 \n", + "3 : 6444 557 117 20 2 1 1 \n", + "4 : 6453 533 133 12 5 3 3 \n", + "5 : 6452 544 121 17 5 2 1 \n", + "6 : 6501 513 104 11 6 4 3 \n", + "7 : 6471 547 111 8 2 1 2 \n", + "8 : 6459 554 107 13 5 1 3 \n", + "9 : 6484 521 112 17 1 5 2 \n", + "10 : 6525 484 111 12 4 1 5 \n", + "11 : 6501 523 101 13 2 1 1 \n", + "12 : 6453 547 120 13 7 1 1 \n", + "13 : 6415 578 136 17 5 2 1 \n", + "\n", + "T : 90511 7539 1639 201 55 26 29 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.5108e-03 sec\n", + "--- Collate = 5.4721e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.079242e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.151809e-01 > 1.000000e-01 [71663]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71663/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=57.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000381916 [ 0.17 %]\n", + "Velocity : 0.00123027 [ 0.54 %]\n", + "Force : 0.0473325 [ 20.78 %]\n", + "Coefs : 0.022754 [ 9.99 %]\n", + "Output : 0.00218543 [ 0.96 %]\n", + "Levels : 0.000201851 [ 0.09 %]\n", + "Report : 9.32e-07 [ 0.00 %]\n", + "Balance : 4.79e-07 [ 0.00 %]\n", + "Adjust : 0.153547 [ 67.41 %]\n", + "Total : 0.22778 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6434 545 142 16 3 1 1 \n", + "1 : 6428 561 123 19 7 3 1 \n", + "2 : 6499 521 106 11 1 2 2 \n", + "3 : 6449 554 115 19 4 0 1 \n", + "4 : 6457 530 135 10 4 3 3 \n", + "5 : 6454 540 124 12 8 4 0 \n", + "6 : 6499 517 101 11 6 5 3 \n", + "7 : 6467 552 109 8 3 1 2 \n", + "8 : 6459 557 108 9 3 4 2 \n", + "9 : 6485 521 111 17 1 4 3 \n", + "10 : 6525 480 113 14 3 1 6 \n", + "11 : 6498 524 101 13 2 4 0 \n", + "12 : 6452 552 117 11 5 4 1 \n", + "13 : 6415 573 139 20 4 2 1 \n", + "\n", + "T : 90521 7527 1644 190 54 38 26 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.3931e-03 sec\n", + "--- Collate = 5.9029e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.081760e-05 < 1.562500e-03 [19]\n", + "--- Max DT=3.153037e-01 > 1.000000e-01 [71635]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 71635/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=57.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000814529 [ 0.35 %]\n", + "Velocity : 0.00195187 [ 0.85 %]\n", + "Force : 0.0483319 [ 21.02 %]\n", + "Coefs : 0.0225209 [ 9.80 %]\n", + "Output : 0.00215864 [ 0.94 %]\n", + "Levels : 0.000205751 [ 0.09 %]\n", + "Report : 8.55e-07 [ 0.00 %]\n", + "Balance : 4.53e-07 [ 0.00 %]\n", + "Adjust : 0.153764 [ 66.89 %]\n", + "Total : 0.229892 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6439 536 146 15 4 2 0 \n", + "1 : 6427 564 120 20 7 3 1 \n", + "2 : 6496 526 104 11 2 1 2 \n", + "3 : 6451 554 116 14 6 0 1 \n", + "4 : 6452 538 131 10 3 5 3 \n", + "5 : 6455 535 129 11 9 2 1 \n", + "6 : 6497 517 102 13 7 4 2 \n", + "7 : 6463 556 111 7 2 1 2 \n", + "8 : 6446 566 111 9 5 2 3 \n", + "9 : 6484 519 115 15 2 5 2 \n", + "10 : 6521 482 116 12 4 2 5 \n", + "11 : 6500 521 102 12 2 2 3 \n", + "12 : 6454 549 119 10 5 1 4 \n", + "13 : 6416 572 141 17 4 1 3 \n", + "\n", + "T : 90501 7535 1663 176 62 31 32 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.3842e-03 sec\n", + "--- Collate = 5.6915e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.533551e-05 < 1.562500e-03 [18]\n", + "--- Max DT=3.154230e-01 > 1.000000e-01 [71618]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 71618/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=57.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000443434 [ 0.18 %]\n", + "Velocity : 0.00125649 [ 0.51 %]\n", + "Force : 0.049028 [ 20.02 %]\n", + "Coefs : 0.0230339 [ 9.41 %]\n", + "Output : 0.00307341 [ 1.26 %]\n", + "Levels : 0.000207414 [ 0.08 %]\n", + "Report : 8.63e-07 [ 0.00 %]\n", + "Balance : 5.51e-07 [ 0.00 %]\n", + "Adjust : 0.167651 [ 68.47 %]\n", + "Total : 0.244864 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6435 544 144 10 7 1 1 \n", + "1 : 6424 566 123 17 8 2 2 \n", + "2 : 6497 525 104 10 4 2 0 \n", + "3 : 6448 558 112 17 4 3 0 \n", + "4 : 6445 545 130 11 4 3 4 \n", + "5 : 6449 540 129 11 8 3 2 \n", + "6 : 6494 522 101 14 5 2 4 \n", + "7 : 6459 562 108 7 1 3 2 \n", + "8 : 6441 567 114 11 4 2 3 \n", + "9 : 6483 521 117 12 5 0 4 \n", + "10 : 6517 485 115 13 6 5 1 \n", + "11 : 6497 520 106 11 2 1 5 \n", + "12 : 6448 550 123 11 6 1 3 \n", + "13 : 6415 575 140 16 4 2 2 \n", + "\n", + "T : 90452 7580 1666 171 68 30 33 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.2918e-03 sec\n", + "--- Collate = 5.9278e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.832446e-05 < 1.562500e-03 [18]\n", + "--- Max DT=3.155386e-01 > 1.000000e-01 [71600]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 71600/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=57.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00045304 [ 0.19 %]\n", + "Velocity : 0.00129679 [ 0.56 %]\n", + "Force : 0.0481862 [ 20.66 %]\n", + "Coefs : 0.0235245 [ 10.09 %]\n", + "Output : 0.00210312 [ 0.90 %]\n", + "Levels : 0.000167686 [ 0.07 %]\n", + "Report : 9.9e-07 [ 0.00 %]\n", + "Balance : 3.77e-07 [ 0.00 %]\n", + "Adjust : 0.15736 [ 67.47 %]\n", + "Total : 0.233231 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6435 541 145 12 4 3 2 \n", + "1 : 6423 565 125 20 5 1 3 \n", + "2 : 6493 530 105 10 2 2 0 \n", + "3 : 6450 557 113 14 2 6 0 \n", + "4 : 6446 547 127 11 5 3 3 \n", + "5 : 6441 548 128 12 8 2 3 \n", + "6 : 6498 516 103 13 5 4 3 \n", + "7 : 6455 566 109 5 3 0 4 \n", + "8 : 6443 562 117 11 3 3 3 \n", + "9 : 6484 522 120 9 3 2 2 \n", + "10 : 6521 477 122 13 5 4 0 \n", + "11 : 6495 523 108 9 1 1 5 \n", + "12 : 6445 549 128 11 3 2 4 \n", + "13 : 6422 571 133 22 1 3 2 \n", + "\n", + "T : 90451 7574 1683 172 50 36 34 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.1378e-03 sec\n", + "--- Collate = 4.8142e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.539149e-05 < 1.562500e-03 [18]\n", + "--- Max DT=3.156506e-01 > 1.000000e-01 [71573]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 71573/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=57.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000423686 [ 0.19 %]\n", + "Velocity : 0.000995684 [ 0.44 %]\n", + "Force : 0.0475957 [ 20.96 %]\n", + "Coefs : 0.0230551 [ 10.15 %]\n", + "Output : 0.00191101 [ 0.84 %]\n", + "Levels : 0.000189474 [ 0.08 %]\n", + "Report : 1.042e-06 [ 0.00 %]\n", + "Balance : 3.96e-07 [ 0.00 %]\n", + "Adjust : 0.152762 [ 67.28 %]\n", + "Total : 0.22706 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6436 541 144 11 6 2 2 \n", + "1 : 6421 569 124 18 6 1 3 \n", + "2 : 6491 535 101 12 0 3 0 \n", + "3 : 6448 562 111 13 3 1 4 \n", + "4 : 6446 548 125 14 3 4 2 \n", + "5 : 6440 550 124 16 5 3 4 \n", + "6 : 6498 514 103 14 6 2 5 \n", + "7 : 6458 564 109 5 2 0 4 \n", + "8 : 6444 558 119 11 5 3 2 \n", + "9 : 6488 519 118 11 3 1 2 \n", + "10 : 6520 479 122 12 6 1 2 \n", + "11 : 6499 513 114 8 2 2 4 \n", + "12 : 6449 547 127 10 4 3 2 \n", + "13 : 6421 571 136 20 4 1 1 \n", + "\n", + "T : 90459 7570 1677 175 55 27 37 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.2476e-03 sec\n", + "--- Collate = 5.6265e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.842829e-05 < 1.562500e-03 [19]\n", + "--- Max DT=3.157589e-01 > 1.000000e-01 [71601]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 71601/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=58] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000415867 [ 0.16 %]\n", + "Velocity : 0.00113057 [ 0.43 %]\n", + "Force : 0.0477847 [ 18.12 %]\n", + "Coefs : 0.0225101 [ 8.53 %]\n", + "Output : 0.0356402 [ 13.51 %]\n", + "Levels : 0.000217717 [ 0.08 %]\n", + "Report : 1.874e-06 [ 0.00 %]\n", + "Balance : 9.45e-07 [ 0.00 %]\n", + "Adjust : 0.155906 [ 59.11 %]\n", + "Total : 0.263753 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6437 542 139 15 3 4 2 \n", + "1 : 6423 576 116 17 7 0 3 \n", + "2 : 6497 528 104 8 3 1 1 \n", + "3 : 6447 561 113 11 4 1 5 \n", + "4 : 6451 539 130 13 6 2 1 \n", + "5 : 6431 556 128 18 1 4 4 \n", + "6 : 6496 516 104 14 6 2 4 \n", + "7 : 6461 558 111 5 4 1 2 \n", + "8 : 6445 555 122 10 5 3 2 \n", + "9 : 6489 518 118 13 2 2 0 \n", + "10 : 6520 479 120 12 6 2 3 \n", + "11 : 6490 524 113 7 5 1 2 \n", + "12 : 6444 553 125 11 4 2 3 \n", + "13 : 6421 571 136 21 4 0 1 \n", + "\n", + "T : 90452 7576 1679 175 60 25 33 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.1%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.1714e-03 sec\n", + "--- Collate = 6.1386e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.324994e-04 < 1.562500e-03 [17]\n", + "--- Max DT=3.158634e-01 > 1.000000e-01 [71598]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71598/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=58.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00114192 [ 0.47 %]\n", + "Velocity : 0.00283946 [ 1.17 %]\n", + "Force : 0.0489702 [ 20.10 %]\n", + "Coefs : 0.0229767 [ 9.43 %]\n", + "Output : 0.00466876 [ 1.92 %]\n", + "Levels : 0.00026066 [ 0.11 %]\n", + "Report : 6.76e-07 [ 0.00 %]\n", + "Balance : 3.88e-07 [ 0.00 %]\n", + "Adjust : 0.162621 [ 66.75 %]\n", + "Total : 0.24364 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6433 544 142 14 5 1 3 \n", + "1 : 6423 577 115 17 6 3 1 \n", + "2 : 6493 535 101 7 3 1 2 \n", + "3 : 6450 551 122 7 6 0 6 \n", + "4 : 6449 542 128 14 6 2 1 \n", + "5 : 6433 554 126 19 5 1 4 \n", + "6 : 6491 520 106 12 6 3 4 \n", + "7 : 6457 558 114 7 2 4 0 \n", + "8 : 6443 555 125 10 6 0 3 \n", + "9 : 6487 522 115 15 2 1 0 \n", + "10 : 6521 478 121 9 7 1 5 \n", + "11 : 6487 526 114 8 3 2 2 \n", + "12 : 6449 547 127 9 5 2 3 \n", + "13 : 6415 575 139 19 3 2 1 \n", + "\n", + "T : 90431 7584 1695 167 65 23 35 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.0668e-03 sec\n", + "--- Collate = 5.5546e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.308734e-04 < 1.562500e-03 [14]\n", + "--- Max DT=3.159641e-01 > 1.000000e-01 [71605]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71605/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=58.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000959051 [ 0.39 %]\n", + "Velocity : 0.00247837 [ 1.02 %]\n", + "Force : 0.0496579 [ 20.44 %]\n", + "Coefs : 0.0225882 [ 9.30 %]\n", + "Output : 0.0044423 [ 1.83 %]\n", + "Levels : 0.000318052 [ 0.13 %]\n", + "Report : 6.9e-07 [ 0.00 %]\n", + "Balance : 3.68e-07 [ 0.00 %]\n", + "Adjust : 0.162283 [ 66.81 %]\n", + "Total : 0.242893 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6427 552 139 13 8 0 3 \n", + "1 : 6422 578 117 17 4 2 2 \n", + "2 : 6480 546 105 5 2 1 3 \n", + "3 : 6448 553 121 7 6 5 2 \n", + "4 : 6446 545 129 16 5 0 1 \n", + "5 : 6431 555 126 20 6 2 2 \n", + "6 : 6490 518 108 12 5 7 2 \n", + "7 : 6455 559 113 8 3 3 1 \n", + "8 : 6445 553 122 15 5 0 2 \n", + "9 : 6482 525 118 15 2 0 0 \n", + "10 : 6520 478 122 11 4 4 3 \n", + "11 : 6482 534 108 10 5 2 1 \n", + "12 : 6452 541 127 12 3 4 3 \n", + "13 : 6420 567 144 15 5 2 1 \n", + "\n", + "T : 90400 7604 1699 176 63 32 26 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.6140e-03 sec\n", + "--- Collate = 5.0090e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.066725e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.160610e-01 > 1.000000e-01 [71603]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 71603/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=58.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000954416 [ 0.40 %]\n", + "Velocity : 0.00231851 [ 0.97 %]\n", + "Force : 0.0485569 [ 20.23 %]\n", + "Coefs : 0.0221889 [ 9.24 %]\n", + "Output : 0.00458297 [ 1.91 %]\n", + "Levels : 0.000240824 [ 0.10 %]\n", + "Report : 6.65e-07 [ 0.00 %]\n", + "Balance : 3.69e-07 [ 0.00 %]\n", + "Adjust : 0.161027 [ 67.09 %]\n", + "Total : 0.240026 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6423 555 139 15 6 1 3 \n", + "1 : 6424 577 119 14 4 0 4 \n", + "2 : 6479 545 109 3 1 2 3 \n", + "3 : 6452 547 122 11 6 2 2 \n", + "4 : 6447 543 132 13 6 0 1 \n", + "5 : 6436 550 125 20 7 3 1 \n", + "6 : 6496 514 106 12 6 4 4 \n", + "7 : 6461 551 114 9 5 0 2 \n", + "8 : 6448 552 119 16 5 1 1 \n", + "9 : 6480 529 117 14 2 0 0 \n", + "10 : 6519 477 125 9 5 5 2 \n", + "11 : 6479 538 104 14 5 1 1 \n", + "12 : 6452 544 121 14 4 5 2 \n", + "13 : 6421 566 142 18 3 3 1 \n", + "\n", + "T : 90417 7588 1694 182 65 27 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.1503e-03 sec\n", + "--- Collate = 5.6084e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.508001e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.161536e-01 > 1.000000e-01 [71576]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71576/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=58.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000867478 [ 0.37 %]\n", + "Velocity : 0.0022132 [ 0.93 %]\n", + "Force : 0.0479486 [ 20.20 %]\n", + "Coefs : 0.0228823 [ 9.64 %]\n", + "Output : 0.00453609 [ 1.91 %]\n", + "Levels : 0.000255265 [ 0.11 %]\n", + "Report : 5.28e-07 [ 0.00 %]\n", + "Balance : 3.52e-07 [ 0.00 %]\n", + "Adjust : 0.158531 [ 66.78 %]\n", + "Total : 0.237389 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6422 557 139 14 5 5 0 \n", + "1 : 6429 572 114 18 5 0 4 \n", + "2 : 6475 551 106 6 0 2 2 \n", + "3 : 6450 544 129 9 5 3 2 \n", + "4 : 6445 547 129 12 7 2 0 \n", + "5 : 6442 546 120 22 9 2 1 \n", + "6 : 6489 520 111 10 3 3 6 \n", + "7 : 6457 557 111 13 1 1 2 \n", + "8 : 6455 545 117 18 4 1 2 \n", + "9 : 6477 530 116 16 2 1 0 \n", + "10 : 6516 478 122 12 9 4 1 \n", + "11 : 6481 535 105 15 4 2 0 \n", + "12 : 6452 542 124 12 7 2 3 \n", + "13 : 6419 566 144 13 7 3 2 \n", + "\n", + "T : 90409 7590 1687 190 68 31 25 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.6927e-03 sec\n", + "--- Collate = 4.8946e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.126781e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.162429e-01 > 1.000000e-01 [71558]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71558/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=58.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000972446 [ 0.41 %]\n", + "Velocity : 0.00229945 [ 0.97 %]\n", + "Force : 0.0486378 [ 20.46 %]\n", + "Coefs : 0.0236527 [ 9.95 %]\n", + "Output : 0.00440958 [ 1.86 %]\n", + "Levels : 0.000240096 [ 0.10 %]\n", + "Report : 4.87e-07 [ 0.00 %]\n", + "Balance : 3.74e-07 [ 0.00 %]\n", + "Adjust : 0.15728 [ 66.18 %]\n", + "Total : 0.237669 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6424 553 142 13 7 3 0 \n", + "1 : 6431 570 112 19 6 1 3 \n", + "2 : 6470 556 103 9 1 2 1 \n", + "3 : 6447 548 123 14 5 1 4 \n", + "4 : 6448 547 127 11 7 1 1 \n", + "5 : 6442 545 121 23 7 2 2 \n", + "6 : 6483 522 113 13 3 1 7 \n", + "7 : 6452 564 106 16 1 2 1 \n", + "8 : 6455 547 115 17 6 0 2 \n", + "9 : 6475 531 116 16 3 1 0 \n", + "10 : 6514 482 120 11 8 5 2 \n", + "11 : 6484 533 103 17 1 4 0 \n", + "12 : 6453 543 121 14 6 2 3 \n", + "13 : 6419 565 147 12 5 2 4 \n", + "\n", + "T : 90397 7606 1669 205 66 27 30 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 7.9873e-03 sec\n", + "--- Collate = 5.7700e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.363419e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.163284e-01 > 1.000000e-01 [71554]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 71554/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=58.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000862718 [ 0.36 %]\n", + "Velocity : 0.00224098 [ 0.94 %]\n", + "Force : 0.0485619 [ 20.44 %]\n", + "Coefs : 0.0223994 [ 9.43 %]\n", + "Output : 0.00440734 [ 1.86 %]\n", + "Levels : 0.000294914 [ 0.12 %]\n", + "Report : 6.77e-07 [ 0.00 %]\n", + "Balance : 3.77e-07 [ 0.00 %]\n", + "Adjust : 0.158649 [ 66.78 %]\n", + "Total : 0.237586 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6428 551 138 16 6 2 1 \n", + "1 : 6429 574 111 17 7 4 0 \n", + "2 : 6470 556 102 10 1 2 1 \n", + "3 : 6450 547 120 16 3 2 4 \n", + "4 : 6444 554 124 10 6 2 2 \n", + "5 : 6437 550 119 26 6 2 2 \n", + "6 : 6475 532 110 15 2 3 5 \n", + "7 : 6451 561 109 17 1 2 1 \n", + "8 : 6457 542 115 16 8 3 1 \n", + "9 : 6476 531 114 17 1 2 1 \n", + "10 : 6513 484 117 15 7 3 3 \n", + "11 : 6480 537 103 17 3 1 1 \n", + "12 : 6445 549 122 17 4 2 3 \n", + "13 : 6416 569 145 12 5 2 5 \n", + "\n", + "T : 90371 7637 1649 221 60 32 30 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.1324e-03 sec\n", + "--- Collate = 5.5185e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.485550e-05 < 1.562500e-03 [18]\n", + "--- Max DT=3.164101e-01 > 1.000000e-01 [71535]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 71535/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=58.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000936822 [ 0.38 %]\n", + "Velocity : 0.0024193 [ 0.99 %]\n", + "Force : 0.0488094 [ 19.98 %]\n", + "Coefs : 0.0223837 [ 9.16 %]\n", + "Output : 0.004668 [ 1.91 %]\n", + "Levels : 0.000300631 [ 0.12 %]\n", + "Report : 7.35e-07 [ 0.00 %]\n", + "Balance : 3.76e-07 [ 0.00 %]\n", + "Adjust : 0.164569 [ 67.38 %]\n", + "Total : 0.244249 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6427 551 139 17 4 1 3 \n", + "1 : 6433 568 117 14 8 2 0 \n", + "2 : 6468 556 102 11 2 2 1 \n", + "3 : 6449 547 124 13 3 2 4 \n", + "4 : 6448 549 125 10 3 3 4 \n", + "5 : 6436 553 118 23 5 5 2 \n", + "6 : 6474 534 104 18 5 5 2 \n", + "7 : 6449 566 107 14 4 1 1 \n", + "8 : 6454 546 113 18 7 4 0 \n", + "9 : 6472 534 115 16 2 1 2 \n", + "10 : 6515 484 116 16 6 1 4 \n", + "11 : 6477 538 102 20 3 0 2 \n", + "12 : 6451 537 129 15 6 2 2 \n", + "13 : 6416 566 149 12 3 4 4 \n", + "\n", + "T : 90369 7629 1660 217 61 33 31 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.0146e-03 sec\n", + "--- Collate = 5.5130e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.694816e-05 < 1.562500e-03 [17]\n", + "--- Max DT=3.164881e-01 > 1.000000e-01 [71501]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71501/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=58.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00088535 [ 0.37 %]\n", + "Velocity : 0.00247076 [ 1.03 %]\n", + "Force : 0.0485806 [ 20.19 %]\n", + "Coefs : 0.0228886 [ 9.51 %]\n", + "Output : 0.00460118 [ 1.91 %]\n", + "Levels : 0.000291245 [ 0.12 %]\n", + "Report : 6.65e-07 [ 0.00 %]\n", + "Balance : 3.98e-07 [ 0.00 %]\n", + "Adjust : 0.160697 [ 66.80 %]\n", + "Total : 0.240571 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6430 545 140 18 5 0 4 \n", + "1 : 6439 567 110 17 8 0 1 \n", + "2 : 6472 551 102 12 2 2 1 \n", + "3 : 6444 550 123 17 2 4 2 \n", + "4 : 6438 556 127 10 4 4 3 \n", + "5 : 6437 555 115 19 11 2 3 \n", + "6 : 6471 539 102 17 8 4 1 \n", + "7 : 6450 562 111 12 5 2 0 \n", + "8 : 6451 547 116 15 8 3 2 \n", + "9 : 6473 538 108 17 3 0 3 \n", + "10 : 6513 486 116 19 4 1 3 \n", + "11 : 6476 538 105 18 3 0 2 \n", + "12 : 6447 545 125 11 11 2 1 \n", + "13 : 6414 567 144 19 3 4 3 \n", + "\n", + "T : 90355 7646 1644 221 77 28 29 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.0570e-03 sec\n", + "--- Collate = 5.7755e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.073013e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.165623e-01 > 1.000000e-01 [71469]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71469/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=58.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000973491 [ 0.40 %]\n", + "Velocity : 0.00253794 [ 1.04 %]\n", + "Force : 0.0491233 [ 20.06 %]\n", + "Coefs : 0.0226217 [ 9.24 %]\n", + "Output : 0.0047139 [ 1.92 %]\n", + "Levels : 0.000323699 [ 0.13 %]\n", + "Report : 6.85e-07 [ 0.00 %]\n", + "Balance : 4.12e-07 [ 0.00 %]\n", + "Adjust : 0.164433 [ 67.15 %]\n", + "Total : 0.244888 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6429 546 142 17 4 1 3 \n", + "1 : 6440 565 112 19 5 0 1 \n", + "2 : 6473 547 104 11 5 0 2 \n", + "3 : 6445 548 123 17 6 2 1 \n", + "4 : 6434 558 128 10 5 3 4 \n", + "5 : 6435 556 117 19 9 3 3 \n", + "6 : 6476 534 105 15 7 3 2 \n", + "7 : 6454 556 115 11 3 2 1 \n", + "8 : 6445 554 116 14 9 1 3 \n", + "9 : 6470 539 109 18 2 2 2 \n", + "10 : 6511 486 117 19 5 2 2 \n", + "11 : 6477 537 111 12 0 4 1 \n", + "12 : 6449 545 123 11 11 1 2 \n", + "13 : 6416 565 144 18 5 3 3 \n", + "\n", + "T : 90354 7636 1666 211 76 27 30 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.2037e-03 sec\n", + "--- Collate = 5.0082e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.162865e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.166326e-01 > 1.000000e-01 [71447]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71447/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=59] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000944573 [ 0.34 %]\n", + "Velocity : 0.0024582 [ 0.90 %]\n", + "Force : 0.0478738 [ 17.44 %]\n", + "Coefs : 0.0227333 [ 8.28 %]\n", + "Output : 0.0394579 [ 14.37 %]\n", + "Levels : 0.00026432 [ 0.10 %]\n", + "Report : 1.441e-06 [ 0.00 %]\n", + "Balance : 8.54e-07 [ 0.00 %]\n", + "Adjust : 0.160657 [ 58.52 %]\n", + "Total : 0.274548 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6432 543 142 17 5 2 1 \n", + "1 : 6439 562 114 24 2 0 1 \n", + "2 : 6467 552 103 12 4 2 2 \n", + "3 : 6439 555 126 13 5 3 1 \n", + "4 : 6432 560 131 8 4 3 4 \n", + "5 : 6433 559 114 18 10 5 3 \n", + "6 : 6472 538 103 18 7 1 3 \n", + "7 : 6450 556 119 13 0 2 2 \n", + "8 : 6443 555 119 10 10 3 2 \n", + "9 : 6473 533 113 18 1 3 1 \n", + "10 : 6506 490 120 16 6 4 0 \n", + "11 : 6472 540 116 9 1 3 1 \n", + "12 : 6449 544 127 11 4 5 2 \n", + "13 : 6417 563 143 21 7 0 3 \n", + "\n", + "T : 90324 7650 1690 208 66 36 26 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.7138e-03 sec\n", + "--- Collate = 5.5062e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.162944e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.166995e-01 > 1.000000e-01 [71426]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71426/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=59.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000892889 [ 0.37 %]\n", + "Velocity : 0.00266012 [ 1.09 %]\n", + "Force : 0.0485863 [ 19.97 %]\n", + "Coefs : 0.0263554 [ 10.83 %]\n", + "Output : 0.00448574 [ 1.84 %]\n", + "Levels : 0.000240375 [ 0.10 %]\n", + "Report : 6.16e-07 [ 0.00 %]\n", + "Balance : 4.26e-07 [ 0.00 %]\n", + "Adjust : 0.159878 [ 65.72 %]\n", + "Total : 0.243262 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6427 547 142 17 4 2 3 \n", + "1 : 6439 555 121 25 0 2 0 \n", + "2 : 6469 550 103 10 5 4 1 \n", + "3 : 6443 556 117 16 7 1 2 \n", + "4 : 6436 553 135 8 4 2 4 \n", + "5 : 6432 557 120 15 7 8 3 \n", + "6 : 6474 537 101 18 5 3 4 \n", + "7 : 6452 557 115 13 1 0 4 \n", + "8 : 6442 557 119 9 8 5 2 \n", + "9 : 6473 532 115 16 4 1 1 \n", + "10 : 6514 487 115 15 8 2 1 \n", + "11 : 6466 549 112 8 4 1 2 \n", + "12 : 6442 559 119 12 1 3 6 \n", + "13 : 6417 565 142 23 4 2 1 \n", + "\n", + "T : 90326 7661 1676 205 62 36 34 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 7.6144e-03 sec\n", + "--- Collate = 7.0539e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.586757e-05 < 1.562500e-03 [21]\n", + "--- Max DT=3.167630e-01 > 1.000000e-01 [71395]\n", + "----------------------------------------------------------------------\n", + " Component | low: 21/100000\n", + " Component | high: 71395/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=59.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000857123 [ 0.37 %]\n", + "Velocity : 0.00217057 [ 0.93 %]\n", + "Force : 0.0479176 [ 20.60 %]\n", + "Coefs : 0.0219411 [ 9.43 %]\n", + "Output : 0.00426359 [ 1.83 %]\n", + "Levels : 0.00023212 [ 0.10 %]\n", + "Report : 6.17e-07 [ 0.00 %]\n", + "Balance : 3.61e-07 [ 0.00 %]\n", + "Adjust : 0.155102 [ 66.67 %]\n", + "Total : 0.232636 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6416 561 141 17 2 1 4 \n", + "1 : 6429 561 125 24 2 0 1 \n", + "2 : 6460 557 104 12 4 3 2 \n", + "3 : 6440 556 119 18 6 1 2 \n", + "4 : 6440 547 134 12 5 2 2 \n", + "5 : 6429 560 120 16 5 6 6 \n", + "6 : 6473 535 105 15 6 3 5 \n", + "7 : 6448 561 118 8 2 1 4 \n", + "8 : 6439 557 121 13 6 4 2 \n", + "9 : 6466 537 120 15 3 0 1 \n", + "10 : 6509 491 115 15 8 2 2 \n", + "11 : 6465 551 112 7 5 0 2 \n", + "12 : 6439 560 123 8 3 2 7 \n", + "13 : 6417 563 142 23 7 0 2 \n", + "\n", + "T : 90270 7697 1699 203 64 25 42 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 7.5647e-03 sec\n", + "--- Collate = 5.4526e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.861931e-05 < 1.562500e-03 [22]\n", + "--- Max DT=3.168231e-01 > 1.000000e-01 [71365]\n", + "----------------------------------------------------------------------\n", + " Component | low: 22/100000\n", + " Component | high: 71365/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=59.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000867716 [ 0.37 %]\n", + "Velocity : 0.00213323 [ 0.91 %]\n", + "Force : 0.0490063 [ 20.84 %]\n", + "Coefs : 0.021989 [ 9.35 %]\n", + "Output : 0.00428865 [ 1.82 %]\n", + "Levels : 0.000283073 [ 0.12 %]\n", + "Report : 4.35e-07 [ 0.00 %]\n", + "Balance : 3.79e-07 [ 0.00 %]\n", + "Adjust : 0.156391 [ 66.52 %]\n", + "Total : 0.235117 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6416 565 136 17 4 0 4 \n", + "1 : 6429 562 126 20 3 1 1 \n", + "2 : 6457 561 102 12 3 5 2 \n", + "3 : 6438 560 115 19 5 3 2 \n", + "4 : 6441 542 138 10 8 3 0 \n", + "5 : 6428 556 122 20 5 3 8 \n", + "6 : 6475 532 109 12 6 3 5 \n", + "7 : 6446 568 112 9 3 1 3 \n", + "8 : 6439 557 120 15 6 2 3 \n", + "9 : 6466 539 117 15 4 0 1 \n", + "10 : 6507 488 124 11 5 4 3 \n", + "11 : 6469 548 109 11 2 1 2 \n", + "12 : 6439 559 126 6 4 2 6 \n", + "13 : 6412 566 145 21 7 0 3 \n", + "\n", + "T : 90262 7703 1701 198 65 28 43 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.6022e-03 sec\n", + "--- Collate = 5.2029e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.265767e-05 < 1.562500e-03 [19]\n", + "--- Max DT=3.168797e-01 > 1.000000e-01 [71367]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 71367/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=59.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000838899 [ 0.36 %]\n", + "Velocity : 0.00215527 [ 0.93 %]\n", + "Force : 0.0494712 [ 21.24 %]\n", + "Coefs : 0.0216427 [ 9.29 %]\n", + "Output : 0.00415027 [ 1.78 %]\n", + "Levels : 0.000226861 [ 0.10 %]\n", + "Report : 3.51e-07 [ 0.00 %]\n", + "Balance : 3.79e-07 [ 0.00 %]\n", + "Adjust : 0.154301 [ 66.23 %]\n", + "Total : 0.232969 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6418 565 131 19 3 4 2 \n", + "1 : 6428 562 128 19 3 0 2 \n", + "2 : 6450 571 99 14 3 1 4 \n", + "3 : 6439 560 113 19 5 4 2 \n", + "4 : 6439 543 138 13 8 1 0 \n", + "5 : 6424 563 121 17 6 4 7 \n", + "6 : 6475 530 113 11 5 2 6 \n", + "7 : 6445 567 112 12 3 2 1 \n", + "8 : 6439 559 115 18 6 2 3 \n", + "9 : 6465 542 115 15 2 3 0 \n", + "10 : 6504 488 124 15 4 2 5 \n", + "11 : 6475 544 107 12 1 2 1 \n", + "12 : 6435 560 130 7 3 4 3 \n", + "13 : 6412 566 145 20 5 3 3 \n", + "\n", + "T : 90248 7720 1691 211 57 34 39 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.5568e-03 sec\n", + "--- Collate = 5.5357e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.495507e-05 < 1.562500e-03 [22]\n", + "--- Max DT=3.169327e-01 > 1.000000e-01 [71331]\n", + "----------------------------------------------------------------------\n", + " Component | low: 22/100000\n", + " Component | high: 71331/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=59.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000867508 [ 0.36 %]\n", + "Velocity : 0.00217211 [ 0.91 %]\n", + "Force : 0.0482606 [ 20.22 %]\n", + "Coefs : 0.0224988 [ 9.43 %]\n", + "Output : 0.004376 [ 1.83 %]\n", + "Levels : 0.000240721 [ 0.10 %]\n", + "Report : 8.25e-07 [ 0.00 %]\n", + "Balance : 4.04e-07 [ 0.00 %]\n", + "Adjust : 0.160114 [ 67.08 %]\n", + "Total : 0.238692 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6415 571 127 20 4 2 3 \n", + "1 : 6421 570 128 15 5 2 1 \n", + "2 : 6451 573 96 13 4 1 4 \n", + "3 : 6436 562 116 17 5 2 4 \n", + "4 : 6438 543 138 17 3 2 1 \n", + "5 : 6417 564 127 17 8 5 4 \n", + "6 : 6475 533 110 12 3 6 3 \n", + "7 : 6445 568 108 15 3 2 1 \n", + "8 : 6442 556 116 18 3 4 3 \n", + "9 : 6469 538 112 18 3 1 1 \n", + "10 : 6496 497 123 15 5 1 5 \n", + "11 : 6477 537 113 12 0 2 1 \n", + "12 : 6434 564 125 6 8 3 2 \n", + "13 : 6410 563 153 15 5 5 3 \n", + "\n", + "T : 90226 7739 1692 210 59 38 36 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 7.7471e-03 sec\n", + "--- Collate = 5.2906e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.421295e-05 < 1.562500e-03 [18]\n", + "--- Max DT=3.169818e-01 > 1.000000e-01 [71321]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 71321/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=59.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000857576 [ 0.36 %]\n", + "Velocity : 0.002143 [ 0.91 %]\n", + "Force : 0.0469615 [ 19.84 %]\n", + "Coefs : 0.0220695 [ 9.32 %]\n", + "Output : 0.00424691 [ 1.79 %]\n", + "Levels : 0.000227052 [ 0.10 %]\n", + "Report : 6.66e-07 [ 0.00 %]\n", + "Balance : 3.21e-07 [ 0.00 %]\n", + "Adjust : 0.160032 [ 67.61 %]\n", + "Total : 0.236694 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6408 577 127 21 6 1 2 \n", + "1 : 6422 567 129 15 4 4 1 \n", + "2 : 6453 571 96 13 4 2 3 \n", + "3 : 6433 570 111 16 7 2 3 \n", + "4 : 6435 546 137 17 3 1 3 \n", + "5 : 6415 563 131 19 9 2 3 \n", + "6 : 6475 534 110 10 4 5 4 \n", + "7 : 6443 570 109 15 2 2 1 \n", + "8 : 6443 552 116 19 3 5 4 \n", + "9 : 6469 539 111 18 3 0 2 \n", + "10 : 6492 502 120 18 3 4 3 \n", + "11 : 6474 543 109 12 2 1 1 \n", + "12 : 6435 564 123 9 7 2 2 \n", + "13 : 6408 562 158 13 6 2 5 \n", + "\n", + "T : 90205 7760 1687 215 63 33 37 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.8049e-03 sec\n", + "--- Collate = 5.7195e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.592052e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.170270e-01 > 1.000000e-01 [71303]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71303/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=59.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000871048 [ 0.37 %]\n", + "Velocity : 0.00237061 [ 1.00 %]\n", + "Force : 0.0478716 [ 20.12 %]\n", + "Coefs : 0.0219846 [ 9.24 %]\n", + "Output : 0.00425788 [ 1.79 %]\n", + "Levels : 0.000303401 [ 0.13 %]\n", + "Report : 6.26e-07 [ 0.00 %]\n", + "Balance : 3.72e-07 [ 0.00 %]\n", + "Adjust : 0.160131 [ 67.29 %]\n", + "Total : 0.237956 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6410 577 124 20 9 0 2 \n", + "1 : 6423 565 130 14 5 2 3 \n", + "2 : 6453 568 99 10 7 5 0 \n", + "3 : 6438 563 112 17 7 2 3 \n", + "4 : 6439 548 130 15 4 2 4 \n", + "5 : 6406 574 127 22 8 3 2 \n", + "6 : 6468 541 112 9 4 4 4 \n", + "7 : 6444 566 110 17 3 1 1 \n", + "8 : 6442 552 117 17 7 3 4 \n", + "9 : 6470 539 109 19 3 0 2 \n", + "10 : 6491 500 124 18 4 3 2 \n", + "11 : 6468 547 111 10 3 2 1 \n", + "12 : 6438 568 118 9 5 1 3 \n", + "13 : 6405 566 160 9 6 4 4 \n", + "\n", + "T : 90195 7774 1683 206 75 32 35 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 7.6505e-03 sec\n", + "--- Collate = 5.3285e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.081304e-04 < 1.562500e-03 [14]\n", + "--- Max DT=3.170682e-01 > 1.000000e-01 [71300]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71300/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=59.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000960373 [ 0.39 %]\n", + "Velocity : 0.00244324 [ 1.00 %]\n", + "Force : 0.0510481 [ 20.98 %]\n", + "Coefs : 0.0225311 [ 9.26 %]\n", + "Output : 0.00446948 [ 1.84 %]\n", + "Levels : 0.000229725 [ 0.09 %]\n", + "Report : 5.94e-07 [ 0.00 %]\n", + "Balance : 3.43e-07 [ 0.00 %]\n", + "Adjust : 0.161485 [ 66.37 %]\n", + "Total : 0.243326 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6403 583 120 28 4 4 0 \n", + "1 : 6420 571 124 19 1 3 4 \n", + "2 : 6457 563 101 11 5 5 0 \n", + "3 : 6444 557 110 21 4 5 1 \n", + "4 : 6439 550 128 13 6 1 5 \n", + "5 : 6409 576 120 24 8 3 2 \n", + "6 : 6469 544 105 10 7 5 2 \n", + "7 : 6447 565 109 16 2 2 1 \n", + "8 : 6444 548 121 14 10 1 4 \n", + "9 : 6472 536 109 20 3 1 1 \n", + "10 : 6493 495 127 17 7 2 1 \n", + "11 : 6464 550 110 12 4 1 1 \n", + "12 : 6437 566 118 12 4 2 3 \n", + "13 : 6404 565 163 8 7 4 3 \n", + "\n", + "T : 90202 7769 1665 225 72 39 28 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 7.9984e-03 sec\n", + "--- Collate = 5.7923e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.758016e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.171051e-01 > 1.000000e-01 [71283]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 71283/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=59.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000867405 [ 0.36 %]\n", + "Velocity : 0.00224885 [ 0.94 %]\n", + "Force : 0.0477308 [ 19.93 %]\n", + "Coefs : 0.0227352 [ 9.49 %]\n", + "Output : 0.00430921 [ 1.80 %]\n", + "Levels : 0.000234637 [ 0.10 %]\n", + "Report : 6.18e-07 [ 0.00 %]\n", + "Balance : 3.6e-07 [ 0.00 %]\n", + "Adjust : 0.161165 [ 67.31 %]\n", + "Total : 0.239453 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6392 595 121 27 3 3 1 \n", + "1 : 6425 565 127 15 4 2 4 \n", + "2 : 6460 557 104 11 8 1 1 \n", + "3 : 6436 570 107 18 7 1 3 \n", + "4 : 6441 546 132 13 3 3 4 \n", + "5 : 6414 572 121 22 6 3 4 \n", + "6 : 6467 544 109 11 6 3 2 \n", + "7 : 6448 564 108 15 4 1 2 \n", + "8 : 6449 542 119 18 8 4 2 \n", + "9 : 6468 541 108 18 7 0 0 \n", + "10 : 6491 495 127 20 6 2 1 \n", + "11 : 6463 552 107 15 3 0 2 \n", + "12 : 6441 558 121 11 3 5 3 \n", + "13 : 6401 570 156 15 4 6 2 \n", + "\n", + "T : 90196 7771 1667 229 72 34 31 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.9664e-03 sec\n", + "--- Collate = 4.9804e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.373815e-05 < 1.562500e-03 [18]\n", + "--- Max DT=3.171377e-01 > 1.000000e-01 [71267]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 71267/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=60] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000941164 [ 0.33 %]\n", + "Velocity : 0.00251224 [ 0.88 %]\n", + "Force : 0.0486037 [ 16.96 %]\n", + "Coefs : 0.0223314 [ 7.79 %]\n", + "Output : 0.041376 [ 14.44 %]\n", + "Levels : 0.000285763 [ 0.10 %]\n", + "Report : 1.144e-06 [ 0.00 %]\n", + "Balance : 1.09e-06 [ 0.00 %]\n", + "Adjust : 0.170372 [ 59.45 %]\n", + "Total : 0.286587 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6387 601 121 26 4 1 2 \n", + "1 : 6428 562 127 15 4 3 3 \n", + "2 : 6457 560 103 12 7 1 2 \n", + "3 : 6434 567 107 22 7 3 2 \n", + "4 : 6442 543 131 15 3 4 4 \n", + "5 : 6410 573 129 19 3 3 5 \n", + "6 : 6474 537 110 11 3 4 3 \n", + "7 : 6450 557 116 11 6 0 2 \n", + "8 : 6446 543 120 20 8 2 3 \n", + "9 : 6459 552 104 19 8 0 0 \n", + "10 : 6494 491 126 20 5 3 3 \n", + "11 : 6458 554 108 15 3 3 1 \n", + "12 : 6441 558 123 8 3 3 6 \n", + "13 : 6397 572 161 13 8 1 2 \n", + "\n", + "T : 90177 7770 1686 226 72 31 38 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 7.7358e-03 sec\n", + "--- Collate = 5.7230e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.067723e-06 < 1.562500e-03 [27]\n", + "--- Max DT=3.171659e-01 > 1.000000e-01 [71264]\n", + "----------------------------------------------------------------------\n", + " Component | low: 27/100000\n", + " Component | high: 71264/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=60.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000861589 [ 0.35 %]\n", + "Velocity : 0.00251481 [ 1.02 %]\n", + "Force : 0.0504853 [ 20.55 %]\n", + "Coefs : 0.0232692 [ 9.47 %]\n", + "Output : 0.0045809 [ 1.86 %]\n", + "Levels : 0.00025639 [ 0.10 %]\n", + "Report : 7.55e-07 [ 0.00 %]\n", + "Balance : 3.65e-07 [ 0.00 %]\n", + "Adjust : 0.163566 [ 66.57 %]\n", + "Total : 0.245694 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6391 592 127 25 2 2 3 \n", + "1 : 6425 563 128 13 9 2 2 \n", + "2 : 6461 557 100 17 3 2 2 \n", + "3 : 6432 565 111 23 5 3 3 \n", + "4 : 6447 529 138 14 7 5 2 \n", + "5 : 6414 566 134 16 5 2 5 \n", + "6 : 6479 529 110 14 4 3 3 \n", + "7 : 6443 564 117 10 4 3 1 \n", + "8 : 6445 547 118 22 6 2 2 \n", + "9 : 6462 549 104 18 5 4 0 \n", + "10 : 6495 493 125 15 6 3 5 \n", + "11 : 6454 553 116 10 3 5 1 \n", + "12 : 6439 560 121 9 4 2 7 \n", + "13 : 6399 572 154 19 6 2 2 \n", + "\n", + "T : 90186 7739 1703 225 69 40 38 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.7804e-03 sec\n", + "--- Collate = 5.9004e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.508369e-05 < 1.562500e-03 [17]\n", + "--- Max DT=3.171901e-01 > 1.000000e-01 [71248]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71248/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=60.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000940844 [ 0.37 %]\n", + "Velocity : 0.00237396 [ 0.94 %]\n", + "Force : 0.0533471 [ 21.05 %]\n", + "Coefs : 0.0234431 [ 9.25 %]\n", + "Output : 0.00469933 [ 1.85 %]\n", + "Levels : 0.000248849 [ 0.10 %]\n", + "Report : 6.18e-07 [ 0.00 %]\n", + "Balance : 4.26e-07 [ 0.00 %]\n", + "Adjust : 0.168212 [ 66.37 %]\n", + "Total : 0.253429 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6389 592 130 23 2 3 3 \n", + "1 : 6424 564 129 16 5 2 2 \n", + "2 : 6452 567 99 15 4 4 1 \n", + "3 : 6432 562 118 18 3 5 4 \n", + "4 : 6445 537 133 10 10 4 3 \n", + "5 : 6417 565 129 20 4 4 3 \n", + "6 : 6478 528 112 14 3 3 4 \n", + "7 : 6443 563 119 11 2 4 0 \n", + "8 : 6446 543 121 25 3 1 3 \n", + "9 : 6459 551 104 19 4 2 3 \n", + "10 : 6500 487 128 12 5 4 6 \n", + "11 : 6446 559 119 8 5 4 1 \n", + "12 : 6432 563 123 12 3 3 6 \n", + "13 : 6401 571 151 23 4 4 0 \n", + "\n", + "T : 90164 7752 1715 226 57 47 39 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.1457e-03 sec\n", + "--- Collate = 5.8172e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.130239e-05 < 1.562500e-03 [20]\n", + "--- Max DT=3.172100e-01 > 1.000000e-01 [71244]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 71244/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=60.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000934093 [ 0.38 %]\n", + "Velocity : 0.00246719 [ 1.00 %]\n", + "Force : 0.0501035 [ 20.23 %]\n", + "Coefs : 0.0226439 [ 9.14 %]\n", + "Output : 0.00444315 [ 1.79 %]\n", + "Levels : 0.000240954 [ 0.10 %]\n", + "Report : 6.05e-07 [ 0.00 %]\n", + "Balance : 4.09e-07 [ 0.00 %]\n", + "Adjust : 0.166703 [ 67.30 %]\n", + "Total : 0.247695 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6393 590 128 22 4 1 4 \n", + "1 : 6427 567 126 13 5 2 2 \n", + "2 : 6447 570 102 15 2 3 3 \n", + "3 : 6434 560 118 18 4 3 5 \n", + "4 : 6447 535 133 14 7 3 3 \n", + "5 : 6419 562 129 20 4 6 2 \n", + "6 : 6487 521 107 18 4 2 3 \n", + "7 : 6445 562 119 10 3 1 2 \n", + "8 : 6446 545 118 25 5 2 1 \n", + "9 : 6456 553 109 12 6 1 5 \n", + "10 : 6498 490 127 12 5 5 5 \n", + "11 : 6447 554 123 8 3 6 1 \n", + "12 : 6434 558 125 13 5 3 4 \n", + "13 : 6402 571 150 24 4 3 0 \n", + "\n", + "T : 90182 7738 1714 224 61 41 40 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.6224e-03 sec\n", + "--- Collate = 5.2983e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.130470e-06 < 1.562500e-03 [29]\n", + "--- Max DT=3.172261e-01 > 1.000000e-01 [71219]\n", + "----------------------------------------------------------------------\n", + " Component | low: 29/100000\n", + " Component | high: 71219/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=60.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000970594 [ 0.40 %]\n", + "Velocity : 0.0023302 [ 0.96 %]\n", + "Force : 0.0494265 [ 20.35 %]\n", + "Coefs : 0.022549 [ 9.28 %]\n", + "Output : 0.00449267 [ 1.85 %]\n", + "Levels : 0.00029151 [ 0.12 %]\n", + "Report : 6.32e-07 [ 0.00 %]\n", + "Balance : 4.35e-07 [ 0.00 %]\n", + "Adjust : 0.162661 [ 66.97 %]\n", + "Total : 0.24288 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6393 587 132 19 5 2 4 \n", + "1 : 6425 570 124 14 6 0 3 \n", + "2 : 6449 572 98 13 4 2 4 \n", + "3 : 6430 563 118 17 6 3 5 \n", + "4 : 6450 528 140 13 4 2 5 \n", + "5 : 6413 572 124 19 9 2 3 \n", + "6 : 6486 520 109 20 4 1 2 \n", + "7 : 6447 559 121 10 1 1 3 \n", + "8 : 6446 546 120 19 9 1 1 \n", + "9 : 6453 551 113 12 6 2 5 \n", + "10 : 6500 488 124 17 3 7 3 \n", + "11 : 6451 550 121 10 3 3 4 \n", + "12 : 6430 560 127 12 8 4 1 \n", + "13 : 6397 576 150 22 7 1 1 \n", + "\n", + "T : 90170 7742 1721 217 75 31 44 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.6928e-03 sec\n", + "--- Collate = 5.1843e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.542612e-06 < 1.562500e-03 [17]\n", + "--- Max DT=3.172426e-01 > 1.000000e-01 [71202]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 71202/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=60.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00084444 [ 0.35 %]\n", + "Velocity : 0.0021934 [ 0.91 %]\n", + "Force : 0.0509047 [ 21.21 %]\n", + "Coefs : 0.0228631 [ 9.53 %]\n", + "Output : 0.00425462 [ 1.77 %]\n", + "Levels : 0.000236517 [ 0.10 %]\n", + "Report : 4.08e-07 [ 0.00 %]\n", + "Balance : 3.89e-07 [ 0.00 %]\n", + "Adjust : 0.158523 [ 66.06 %]\n", + "Total : 0.239978 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6394 588 133 19 1 4 3 \n", + "1 : 6420 576 123 13 5 2 3 \n", + "2 : 6456 567 95 14 4 1 5 \n", + "3 : 6432 558 119 19 4 7 3 \n", + "4 : 6451 527 140 14 3 3 4 \n", + "5 : 6415 571 123 19 10 0 4 \n", + "6 : 6485 521 110 19 5 2 0 \n", + "7 : 6443 568 113 11 3 1 3 \n", + "8 : 6445 549 115 22 8 1 2 \n", + "9 : 6457 544 117 10 7 4 3 \n", + "10 : 6495 493 125 15 9 1 4 \n", + "11 : 6452 549 121 10 4 2 4 \n", + "12 : 6429 556 129 17 8 2 1 \n", + "13 : 6381 593 149 22 7 1 1 \n", + "\n", + "T : 90155 7760 1712 224 78 31 40 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 7.5856e-03 sec\n", + "--- Collate = 5.3819e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.178051e-05 < 1.562500e-03 [18]\n", + "--- Max DT=3.175207e-01 > 1.000000e-01 [71165]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 71165/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=60.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000879043 [ 0.37 %]\n", + "Velocity : 0.00219776 [ 0.92 %]\n", + "Force : 0.0508778 [ 21.33 %]\n", + "Coefs : 0.0225781 [ 9.46 %]\n", + "Output : 0.00434547 [ 1.82 %]\n", + "Levels : 0.00022675 [ 0.10 %]\n", + "Report : 5.98e-07 [ 0.00 %]\n", + "Balance : 3.65e-07 [ 0.00 %]\n", + "Adjust : 0.157297 [ 65.94 %]\n", + "Total : 0.238561 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6397 586 132 19 0 4 4 \n", + "1 : 6423 570 125 16 4 2 2 \n", + "2 : 6458 563 96 14 4 2 5 \n", + "3 : 6431 564 115 16 5 8 3 \n", + "4 : 6450 529 138 13 6 1 5 \n", + "5 : 6411 569 130 16 12 2 2 \n", + "6 : 6479 526 109 21 5 2 0 \n", + "7 : 6444 565 115 8 5 3 2 \n", + "8 : 6437 550 125 19 6 3 2 \n", + "9 : 6463 542 114 11 2 9 1 \n", + "10 : 6495 494 126 13 9 3 2 \n", + "11 : 6450 549 123 11 4 0 5 \n", + "12 : 6430 559 128 12 10 3 0 \n", + "13 : 6379 595 146 24 4 4 2 \n", + "\n", + "T : 90147 7761 1722 213 76 46 35 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.8329e-03 sec\n", + "--- Collate = 5.3891e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.548061e-06 < 1.562500e-03 [14]\n", + "--- Max DT=3.177933e-01 > 1.000000e-01 [71163]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71163/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=60.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000865304 [ 0.37 %]\n", + "Velocity : 0.00216243 [ 0.92 %]\n", + "Force : 0.0481432 [ 20.55 %]\n", + "Coefs : 0.0217839 [ 9.30 %]\n", + "Output : 0.00429042 [ 1.83 %]\n", + "Levels : 0.00026141 [ 0.11 %]\n", + "Report : 5.81e-07 [ 0.00 %]\n", + "Balance : 4.25e-07 [ 0.00 %]\n", + "Adjust : 0.156645 [ 66.86 %]\n", + "Total : 0.234304 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6397 583 134 17 5 2 4 \n", + "1 : 6424 568 125 17 3 4 1 \n", + "2 : 6456 562 98 16 3 2 5 \n", + "3 : 6433 560 117 17 9 2 4 \n", + "4 : 6447 538 130 19 2 2 4 \n", + "5 : 6406 571 133 19 6 5 2 \n", + "6 : 6474 531 109 23 5 0 0 \n", + "7 : 6441 564 118 11 4 2 2 \n", + "8 : 6436 550 122 20 9 2 3 \n", + "9 : 6457 546 114 12 8 2 3 \n", + "10 : 6493 494 126 17 9 1 2 \n", + "11 : 6453 546 124 9 5 2 3 \n", + "12 : 6432 554 128 18 8 1 1 \n", + "13 : 6379 591 152 21 4 4 3 \n", + "\n", + "T : 90128 7758 1730 236 80 31 37 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 7.8795e-03 sec\n", + "--- Collate = 5.3428e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.800478e-05 < 1.562500e-03 [19]\n", + "--- Max DT=3.180841e-01 > 1.000000e-01 [71129]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 71129/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=60.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000856923 [ 0.36 %]\n", + "Velocity : 0.00219637 [ 0.91 %]\n", + "Force : 0.0509048 [ 21.18 %]\n", + "Coefs : 0.0220909 [ 9.19 %]\n", + "Output : 0.00431855 [ 1.80 %]\n", + "Levels : 0.000255386 [ 0.11 %]\n", + "Report : 6.17e-07 [ 0.00 %]\n", + "Balance : 3.89e-07 [ 0.00 %]\n", + "Adjust : 0.159514 [ 66.38 %]\n", + "Total : 0.240295 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6394 589 135 14 4 3 3 \n", + "1 : 6417 571 129 16 5 3 1 \n", + "2 : 6456 559 105 13 3 3 3 \n", + "3 : 6436 551 123 21 5 1 5 \n", + "4 : 6447 533 138 14 3 4 3 \n", + "5 : 6403 579 126 22 5 6 1 \n", + "6 : 6476 530 109 24 2 1 0 \n", + "7 : 6444 560 118 11 3 3 3 \n", + "8 : 6436 552 123 16 9 3 3 \n", + "9 : 6457 543 117 12 7 3 3 \n", + "10 : 6489 493 131 18 9 2 0 \n", + "11 : 6447 553 122 12 4 3 1 \n", + "12 : 6429 562 123 16 9 2 1 \n", + "13 : 6381 588 157 17 1 5 5 \n", + "\n", + "T : 90112 7763 1756 226 69 42 32 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 7.8924e-03 sec\n", + "--- Collate = 5.4401e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.260666e-04 < 1.562500e-03 [18]\n", + "--- Max DT=3.188084e-01 > 1.000000e-01 [71083]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 71083/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=60.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000863427 [ 0.36 %]\n", + "Velocity : 0.00230943 [ 0.97 %]\n", + "Force : 0.0511836 [ 21.54 %]\n", + "Coefs : 0.0219247 [ 9.23 %]\n", + "Output : 0.00424254 [ 1.79 %]\n", + "Levels : 0.000249512 [ 0.10 %]\n", + "Report : 6.82e-07 [ 0.00 %]\n", + "Balance : 3.65e-07 [ 0.00 %]\n", + "Adjust : 0.156718 [ 65.95 %]\n", + "Total : 0.237645 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6393 591 130 17 4 3 4 \n", + "1 : 6415 574 127 16 6 1 3 \n", + "2 : 6457 552 109 13 7 3 1 \n", + "3 : 6433 554 124 17 6 5 3 \n", + "4 : 6442 535 143 12 6 2 2 \n", + "5 : 6405 574 129 22 5 4 3 \n", + "6 : 6468 543 105 24 1 1 0 \n", + "7 : 6441 561 118 12 4 3 3 \n", + "8 : 6431 557 125 14 10 2 3 \n", + "9 : 6456 541 120 14 4 4 3 \n", + "10 : 6492 492 128 20 7 3 0 \n", + "11 : 6442 560 120 14 4 2 0 \n", + "12 : 6424 567 123 15 8 2 3 \n", + "13 : 6375 589 164 14 4 2 6 \n", + "\n", + "T : 90074 7790 1765 224 76 37 34 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 7.8061e-03 sec\n", + "--- Collate = 4.4375e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.470493e-05 < 1.562500e-03 [18]\n", + "--- Max DT=3.195225e-01 > 1.000000e-01 [71075]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 71075/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=61] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000889402 [ 0.32 %]\n", + "Velocity : 0.00226678 [ 0.81 %]\n", + "Force : 0.0498812 [ 17.87 %]\n", + "Coefs : 0.0249503 [ 8.94 %]\n", + "Output : 0.0400239 [ 14.34 %]\n", + "Levels : 0.000264218 [ 0.09 %]\n", + "Report : 1.318e-06 [ 0.00 %]\n", + "Balance : 7.22e-07 [ 0.00 %]\n", + "Adjust : 0.160647 [ 57.56 %]\n", + "Total : 0.279088 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6392 596 125 16 5 4 4 \n", + "1 : 6411 580 121 22 4 1 3 \n", + "2 : 6461 544 114 13 7 2 1 \n", + "3 : 6433 557 123 18 4 4 3 \n", + "4 : 6443 538 141 9 7 2 2 \n", + "5 : 6415 570 125 20 6 2 4 \n", + "6 : 6463 545 111 20 2 0 1 \n", + "7 : 6441 557 121 15 2 2 4 \n", + "8 : 6437 552 124 16 7 4 2 \n", + "9 : 6448 553 115 18 3 3 2 \n", + "10 : 6486 500 127 21 4 2 2 \n", + "11 : 6445 557 124 10 5 1 0 \n", + "12 : 6423 566 122 19 6 4 2 \n", + "13 : 6380 586 163 13 3 4 5 \n", + "\n", + "T : 90078 7801 1756 230 65 35 35 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.1262e-03 sec\n", + "--- Collate = 5.8174e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.048555e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.202263e-01 > 1.000000e-01 [71050]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71050/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=61.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000893245 [ 0.37 %]\n", + "Velocity : 0.00242488 [ 0.99 %]\n", + "Force : 0.050963 [ 20.88 %]\n", + "Coefs : 0.0235565 [ 9.65 %]\n", + "Output : 0.00462565 [ 1.90 %]\n", + "Levels : 0.000304971 [ 0.12 %]\n", + "Report : 6.38e-07 [ 0.00 %]\n", + "Balance : 4.26e-07 [ 0.00 %]\n", + "Adjust : 0.161105 [ 66.01 %]\n", + "Total : 0.244054 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6390 601 125 12 6 2 6 \n", + "1 : 6407 583 121 24 3 1 3 \n", + "2 : 6462 542 113 18 4 3 0 \n", + "3 : 6432 558 121 18 7 3 3 \n", + "4 : 6437 543 139 11 10 1 1 \n", + "5 : 6404 580 129 20 3 1 5 \n", + "6 : 6466 541 114 19 1 0 1 \n", + "7 : 6442 557 120 16 1 3 3 \n", + "8 : 6439 549 124 18 6 5 1 \n", + "9 : 6446 553 116 16 6 4 1 \n", + "10 : 6485 501 125 24 2 2 3 \n", + "11 : 6446 554 123 12 4 1 2 \n", + "12 : 6424 568 122 18 3 4 3 \n", + "13 : 6381 590 158 11 5 5 4 \n", + "\n", + "T : 90061 7820 1750 237 61 35 36 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.1722e-03 sec\n", + "--- Collate = 6.0967e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.464188e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.209193e-01 > 1.000000e-01 [71050]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 71050/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=61.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000864918 [ 0.36 %]\n", + "Velocity : 0.00236894 [ 0.98 %]\n", + "Force : 0.0503164 [ 20.76 %]\n", + "Coefs : 0.0247924 [ 10.23 %]\n", + "Output : 0.00436153 [ 1.80 %]\n", + "Levels : 0.000284514 [ 0.12 %]\n", + "Report : 7.22e-07 [ 0.00 %]\n", + "Balance : 3.96e-07 [ 0.00 %]\n", + "Adjust : 0.159267 [ 65.70 %]\n", + "Total : 0.242412 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6393 598 126 13 5 3 4 \n", + "1 : 6400 585 127 22 4 2 2 \n", + "2 : 6459 540 117 21 4 1 0 \n", + "3 : 6437 549 124 20 6 2 4 \n", + "4 : 6434 546 139 10 11 2 0 \n", + "5 : 6398 585 132 17 5 2 3 \n", + "6 : 6459 542 120 19 1 0 1 \n", + "7 : 6438 555 126 14 4 2 3 \n", + "8 : 6438 546 129 18 6 3 2 \n", + "9 : 6442 555 120 13 8 4 0 \n", + "10 : 6477 508 129 20 3 2 3 \n", + "11 : 6449 554 120 12 3 2 2 \n", + "12 : 6433 560 124 16 3 4 2 \n", + "13 : 6383 582 164 11 8 3 3 \n", + "\n", + "T : 90040 7805 1797 226 71 32 29 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 7.7664e-03 sec\n", + "--- Collate = 5.4421e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.461407e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.216019e-01 > 1.000000e-01 [71026]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 71026/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=61.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000969076 [ 0.40 %]\n", + "Velocity : 0.00235929 [ 0.98 %]\n", + "Force : 0.0497669 [ 20.59 %]\n", + "Coefs : 0.0223468 [ 9.25 %]\n", + "Output : 0.00453472 [ 1.88 %]\n", + "Levels : 0.000267333 [ 0.11 %]\n", + "Report : 7.2e-07 [ 0.00 %]\n", + "Balance : 3.91e-07 [ 0.00 %]\n", + "Adjust : 0.161238 [ 66.72 %]\n", + "Total : 0.241654 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6395 595 125 17 2 5 3 \n", + "1 : 6396 587 130 20 6 2 1 \n", + "2 : 6466 534 112 22 7 0 1 \n", + "3 : 6432 553 125 19 6 4 3 \n", + "4 : 6438 538 140 14 7 3 2 \n", + "5 : 6398 580 137 16 2 7 2 \n", + "6 : 6455 540 127 17 2 1 0 \n", + "7 : 6442 553 124 14 5 3 1 \n", + "8 : 6443 539 130 22 4 1 3 \n", + "9 : 6440 558 121 12 8 2 1 \n", + "10 : 6474 510 132 19 1 4 2 \n", + "11 : 6454 547 121 13 1 2 4 \n", + "12 : 6432 560 125 15 5 2 3 \n", + "13 : 6389 576 165 14 6 1 3 \n", + "\n", + "T : 90054 7770 1814 234 62 37 29 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.1790e-03 sec\n", + "--- Collate = 8.1297e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.792961e-06 < 1.562500e-03 [16]\n", + "--- Max DT=3.222751e-01 > 1.000000e-01 [71035]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 71035/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=61.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00093329 [ 0.37 %]\n", + "Velocity : 0.00235152 [ 0.94 %]\n", + "Force : 0.0500456 [ 20.11 %]\n", + "Coefs : 0.0225843 [ 9.07 %]\n", + "Output : 0.00464009 [ 1.86 %]\n", + "Levels : 0.00025077 [ 0.10 %]\n", + "Report : 6.92e-07 [ 0.00 %]\n", + "Balance : 4.16e-07 [ 0.00 %]\n", + "Adjust : 0.167946 [ 67.47 %]\n", + "Total : 0.248908 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6393 596 124 18 3 6 2 \n", + "1 : 6395 591 127 19 8 1 1 \n", + "2 : 6462 538 115 19 6 1 1 \n", + "3 : 6427 556 131 17 4 3 4 \n", + "4 : 6433 542 140 17 5 3 2 \n", + "5 : 6396 577 141 17 5 2 4 \n", + "6 : 6450 548 122 18 4 0 0 \n", + "7 : 6444 550 129 11 6 1 1 \n", + "8 : 6440 536 138 18 7 1 2 \n", + "9 : 6435 564 120 13 5 3 2 \n", + "10 : 6476 506 136 16 3 3 2 \n", + "11 : 6449 550 122 13 2 2 4 \n", + "12 : 6423 565 128 13 6 5 2 \n", + "13 : 6387 577 166 15 6 1 2 \n", + "\n", + "T : 90010 7796 1839 224 70 32 29 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.1055e-03 sec\n", + "--- Collate = 5.8731e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.666497e-05 < 1.562500e-03 [15]\n", + "--- Max DT=3.229398e-01 > 1.000000e-01 [71017]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 71017/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=61.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000968542 [ 0.39 %]\n", + "Velocity : 0.00248201 [ 1.00 %]\n", + "Force : 0.0526131 [ 21.29 %]\n", + "Coefs : 0.0224332 [ 9.08 %]\n", + "Output : 0.00453283 [ 1.83 %]\n", + "Levels : 0.000318085 [ 0.13 %]\n", + "Report : 7.06e-07 [ 0.00 %]\n", + "Balance : 3.73e-07 [ 0.00 %]\n", + "Adjust : 0.16356 [ 66.20 %]\n", + "Total : 0.247068 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6396 592 125 18 4 4 3 \n", + "1 : 6387 596 130 19 7 3 0 \n", + "2 : 6461 544 112 20 3 1 1 \n", + "3 : 6426 557 129 18 7 3 2 \n", + "4 : 6431 546 137 17 6 0 5 \n", + "5 : 6399 575 140 18 5 0 5 \n", + "6 : 6450 552 117 20 3 0 0 \n", + "7 : 6444 548 131 12 5 1 1 \n", + "8 : 6439 536 138 18 8 1 2 \n", + "9 : 6429 566 125 14 3 3 2 \n", + "10 : 6473 508 137 14 6 2 2 \n", + "11 : 6448 550 121 13 5 1 4 \n", + "12 : 6431 556 129 9 11 4 2 \n", + "13 : 6382 583 166 16 4 2 1 \n", + "\n", + "T : 89996 7809 1837 226 77 25 30 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 7.8863e-03 sec\n", + "--- Collate = 5.9865e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.553129e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.235958e-01 > 1.000000e-01 [70966]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 70966/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=61.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000947589 [ 0.39 %]\n", + "Velocity : 0.00237341 [ 0.97 %]\n", + "Force : 0.0492522 [ 20.15 %]\n", + "Coefs : 0.0227531 [ 9.31 %]\n", + "Output : 0.00452467 [ 1.85 %]\n", + "Levels : 0.000244225 [ 0.10 %]\n", + "Report : 6.46e-07 [ 0.00 %]\n", + "Balance : 3.44e-07 [ 0.00 %]\n", + "Adjust : 0.164172 [ 67.17 %]\n", + "Total : 0.244426 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6388 602 123 18 5 3 3 \n", + "1 : 6384 601 132 18 2 4 1 \n", + "2 : 6459 546 111 20 3 2 1 \n", + "3 : 6427 555 131 17 9 1 2 \n", + "4 : 6431 546 137 19 3 3 3 \n", + "5 : 6395 577 143 17 3 3 4 \n", + "6 : 6451 548 121 20 2 0 0 \n", + "7 : 6440 550 134 14 2 2 0 \n", + "8 : 6433 540 141 18 6 3 1 \n", + "9 : 6424 567 129 14 2 3 3 \n", + "10 : 6476 505 137 14 6 3 1 \n", + "11 : 6447 553 119 12 6 2 3 \n", + "12 : 6428 551 134 15 10 3 1 \n", + "13 : 6382 579 164 24 3 2 0 \n", + "\n", + "T : 89965 7820 1856 240 62 34 23 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.0919e-03 sec\n", + "--- Collate = 6.0299e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.790272e-04 < 1.562500e-03 [7]\n", + "--- Max DT=3.242449e-01 > 1.000000e-01 [70955]\n", + "----------------------------------------------------------------------\n", + " Component | low: 7/100000\n", + " Component | high: 70955/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=61.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000852498 [ 0.35 %]\n", + "Velocity : 0.0023629 [ 0.96 %]\n", + "Force : 0.0502473 [ 20.45 %]\n", + "Coefs : 0.0251885 [ 10.25 %]\n", + "Output : 0.00454087 [ 1.85 %]\n", + "Levels : 0.000252933 [ 0.10 %]\n", + "Report : 7.16e-07 [ 0.00 %]\n", + "Balance : 4.12e-07 [ 0.00 %]\n", + "Adjust : 0.162102 [ 65.97 %]\n", + "Total : 0.245708 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6382 612 122 15 5 4 2 \n", + "1 : 6387 603 126 19 3 1 3 \n", + "2 : 6462 544 110 20 4 1 1 \n", + "3 : 6423 559 132 18 7 2 1 \n", + "4 : 6427 550 137 19 3 3 3 \n", + "5 : 6395 578 142 17 4 3 3 \n", + "6 : 6449 547 125 19 1 1 0 \n", + "7 : 6437 553 134 14 3 1 0 \n", + "8 : 6426 551 136 20 6 3 0 \n", + "9 : 6419 569 131 14 3 3 3 \n", + "10 : 6473 509 138 11 6 3 2 \n", + "11 : 6442 562 112 14 7 3 2 \n", + "12 : 6421 558 130 18 8 4 3 \n", + "13 : 6377 582 162 25 6 2 0 \n", + "\n", + "T : 89920 7877 1837 243 66 34 23 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 7.9712e-03 sec\n", + "--- Collate = 4.8398e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.048439e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.248864e-01 > 1.000000e-01 [70949]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 70949/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=61.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000942817 [ 0.38 %]\n", + "Velocity : 0.00246446 [ 0.99 %]\n", + "Force : 0.0493943 [ 19.94 %]\n", + "Coefs : 0.0224139 [ 9.05 %]\n", + "Output : 0.00458176 [ 1.85 %]\n", + "Levels : 0.000287663 [ 0.12 %]\n", + "Report : 7.04e-07 [ 0.00 %]\n", + "Balance : 4.2e-07 [ 0.00 %]\n", + "Adjust : 0.167443 [ 67.60 %]\n", + "Total : 0.247706 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6378 616 122 18 6 1 1 \n", + "1 : 6388 603 123 20 3 2 3 \n", + "2 : 6453 552 113 17 5 1 1 \n", + "3 : 6427 550 139 18 5 2 1 \n", + "4 : 6424 553 139 16 5 4 1 \n", + "5 : 6391 586 140 13 6 4 2 \n", + "6 : 6448 546 130 15 2 1 0 \n", + "7 : 6430 560 136 14 2 0 0 \n", + "8 : 6428 552 132 23 4 1 2 \n", + "9 : 6420 571 128 16 2 2 3 \n", + "10 : 6475 511 131 16 3 3 3 \n", + "11 : 6438 568 109 11 10 4 2 \n", + "12 : 6420 557 133 17 8 4 3 \n", + "13 : 6384 575 162 22 8 1 2 \n", + "\n", + "T : 89904 7900 1837 236 69 30 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 7.7899e-03 sec\n", + "--- Collate = 5.3641e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.478479e-06 < 1.562500e-03 [19]\n", + "--- Max DT=3.255201e-01 > 1.000000e-01 [70929]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 70929/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=61.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000969882 [ 0.40 %]\n", + "Velocity : 0.00239446 [ 0.98 %]\n", + "Force : 0.0497138 [ 20.38 %]\n", + "Coefs : 0.0245276 [ 10.05 %]\n", + "Output : 0.00436761 [ 1.79 %]\n", + "Levels : 0.000245887 [ 0.10 %]\n", + "Report : 6.34e-07 [ 0.00 %]\n", + "Balance : 4.13e-07 [ 0.00 %]\n", + "Adjust : 0.161598 [ 66.24 %]\n", + "Total : 0.243971 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6376 618 121 21 2 3 1 \n", + "1 : 6383 604 127 19 4 3 2 \n", + "2 : 6446 556 116 18 5 1 0 \n", + "3 : 6423 553 142 17 5 1 1 \n", + "4 : 6419 555 142 15 6 4 1 \n", + "5 : 6399 575 142 17 6 0 3 \n", + "6 : 6439 555 128 16 3 1 0 \n", + "7 : 6433 554 139 12 3 1 0 \n", + "8 : 6428 553 134 19 6 0 2 \n", + "9 : 6422 570 126 15 3 2 4 \n", + "10 : 6477 509 130 18 3 1 4 \n", + "11 : 6440 566 108 11 10 3 4 \n", + "12 : 6417 563 132 16 4 5 5 \n", + "13 : 6384 576 161 23 6 1 3 \n", + "\n", + "T : 89886 7907 1848 237 66 26 30 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 7.8386e-03 sec\n", + "--- Collate = 4.6711e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.364349e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.261452e-01 > 1.000000e-01 [70938]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 70938/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=62] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000868116 [ 0.32 %]\n", + "Velocity : 0.00215899 [ 0.79 %]\n", + "Force : 0.0508617 [ 18.67 %]\n", + "Coefs : 0.0219254 [ 8.05 %]\n", + "Output : 0.0383919 [ 14.09 %]\n", + "Levels : 0.000267606 [ 0.10 %]\n", + "Report : 1.479e-06 [ 0.00 %]\n", + "Balance : 7.55e-07 [ 0.00 %]\n", + "Adjust : 0.157785 [ 57.92 %]\n", + "Total : 0.272412 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6370 622 122 21 3 3 1 \n", + "1 : 6390 593 130 20 6 2 1 \n", + "2 : 6437 566 117 15 7 0 0 \n", + "3 : 6414 559 143 19 4 1 2 \n", + "4 : 6415 559 143 14 6 3 2 \n", + "5 : 6397 580 137 19 4 4 1 \n", + "6 : 6441 551 130 16 3 0 1 \n", + "7 : 6423 568 134 12 3 2 0 \n", + "8 : 6430 552 134 20 3 1 2 \n", + "9 : 6419 576 126 9 6 3 3 \n", + "10 : 6469 518 132 16 2 2 3 \n", + "11 : 6441 562 111 15 4 4 5 \n", + "12 : 6419 560 131 20 3 2 7 \n", + "13 : 6387 579 159 17 4 5 3 \n", + "\n", + "T : 89852 7945 1849 233 58 32 31 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.2740e-03 sec\n", + "--- Collate = 6.3635e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.052850e-04 < 1.562500e-03 [13]\n", + "--- Max DT=3.267618e-01 > 1.000000e-01 [70925]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 70925/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=62.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000829075 [ 0.31 %]\n", + "Velocity : 0.00248007 [ 0.92 %]\n", + "Force : 0.0533264 [ 19.79 %]\n", + "Coefs : 0.0281218 [ 10.44 %]\n", + "Output : 0.00449928 [ 1.67 %]\n", + "Levels : 0.000264316 [ 0.10 %]\n", + "Report : 6.24e-07 [ 0.00 %]\n", + "Balance : 3.95e-07 [ 0.00 %]\n", + "Adjust : 0.179793 [ 66.72 %]\n", + "Total : 0.269484 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6374 606 136 16 6 2 2 \n", + "1 : 6395 590 124 25 6 0 2 \n", + "2 : 6429 572 120 14 3 4 0 \n", + "3 : 6418 557 141 17 6 2 1 \n", + "4 : 6414 560 143 13 6 4 2 \n", + "5 : 6396 583 134 21 2 4 2 \n", + "6 : 6440 552 130 16 3 0 1 \n", + "7 : 6419 571 136 10 4 1 1 \n", + "8 : 6421 565 133 17 2 3 1 \n", + "9 : 6415 581 124 12 3 3 4 \n", + "10 : 6466 525 130 16 1 3 1 \n", + "11 : 6445 554 114 16 4 3 6 \n", + "12 : 6422 552 136 20 4 4 4 \n", + "13 : 6383 582 162 16 3 4 4 \n", + "\n", + "T : 89837 7950 1863 229 53 37 31 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.3549e-03 sec\n", + "--- Collate = 5.8675e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.244750e-05 < 1.562500e-03 [21]\n", + "--- Max DT=3.273693e-01 > 1.000000e-01 [70900]\n", + "----------------------------------------------------------------------\n", + " Component | low: 21/100000\n", + " Component | high: 70900/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=62.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00100195 [ 0.41 %]\n", + "Velocity : 0.00256874 [ 1.04 %]\n", + "Force : 0.0504391 [ 20.43 %]\n", + "Coefs : 0.0224787 [ 9.10 %]\n", + "Output : 0.00426943 [ 1.73 %]\n", + "Levels : 0.000263512 [ 0.11 %]\n", + "Report : 6.6e-07 [ 0.00 %]\n", + "Balance : 3.81e-07 [ 0.00 %]\n", + "Adjust : 0.165739 [ 67.12 %]\n", + "Total : 0.246927 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6378 599 139 15 7 2 2 \n", + "1 : 6395 585 129 26 5 1 1 \n", + "2 : 6424 574 119 17 3 2 3 \n", + "3 : 6409 568 141 14 4 5 1 \n", + "4 : 6418 557 142 13 7 1 4 \n", + "5 : 6394 583 139 18 3 2 3 \n", + "6 : 6435 555 133 15 3 0 1 \n", + "7 : 6420 568 139 9 2 3 1 \n", + "8 : 6415 568 136 15 6 0 2 \n", + "9 : 6416 579 126 11 1 7 2 \n", + "10 : 6467 524 128 18 1 4 0 \n", + "11 : 6449 549 117 12 4 5 6 \n", + "12 : 6425 552 134 20 2 6 3 \n", + "13 : 6383 583 162 13 5 4 4 \n", + "\n", + "T : 89828 7944 1884 216 53 42 33 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.2999e-03 sec\n", + "--- Collate = 6.4236e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.331529e-05 < 1.562500e-03 [18]\n", + "--- Max DT=3.279676e-01 > 1.000000e-01 [70885]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 70885/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=62.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000991449 [ 0.39 %]\n", + "Velocity : 0.00264235 [ 1.05 %]\n", + "Force : 0.0501709 [ 19.95 %]\n", + "Coefs : 0.0229646 [ 9.13 %]\n", + "Output : 0.00418226 [ 1.66 %]\n", + "Levels : 0.000234898 [ 0.09 %]\n", + "Report : 6.76e-07 [ 0.00 %]\n", + "Balance : 3.86e-07 [ 0.00 %]\n", + "Adjust : 0.170192 [ 67.66 %]\n", + "Total : 0.251544 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6382 595 137 16 9 1 2 \n", + "1 : 6399 580 128 29 4 2 0 \n", + "2 : 6425 570 122 17 2 3 3 \n", + "3 : 6411 569 138 15 4 3 2 \n", + "4 : 6412 566 140 12 7 1 4 \n", + "5 : 6392 587 138 15 5 2 3 \n", + "6 : 6429 554 139 16 2 1 1 \n", + "7 : 6416 573 139 7 3 1 3 \n", + "8 : 6409 576 135 13 5 2 2 \n", + "9 : 6416 577 125 15 2 3 4 \n", + "10 : 6461 527 132 15 6 1 0 \n", + "11 : 6446 553 117 12 5 3 6 \n", + "12 : 6419 560 131 21 5 3 3 \n", + "13 : 6378 589 160 14 5 4 4 \n", + "\n", + "T : 89795 7976 1881 217 64 30 37 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.1182e-03 sec\n", + "--- Collate = 5.4940e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.802168e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.285565e-01 > 1.000000e-01 [70883]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 70883/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=62.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000965872 [ 0.39 %]\n", + "Velocity : 0.00261494 [ 1.04 %]\n", + "Force : 0.0502533 [ 20.06 %]\n", + "Coefs : 0.0230512 [ 9.20 %]\n", + "Output : 0.00474086 [ 1.89 %]\n", + "Levels : 0.000248483 [ 0.10 %]\n", + "Report : 5.85e-07 [ 0.00 %]\n", + "Balance : 3.97e-07 [ 0.00 %]\n", + "Adjust : 0.16854 [ 67.26 %]\n", + "Total : 0.250573 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6370 605 141 14 7 3 2 \n", + "1 : 6393 585 127 27 8 1 1 \n", + "2 : 6425 568 123 17 3 3 3 \n", + "3 : 6403 576 140 14 4 3 2 \n", + "4 : 6405 568 145 14 3 4 3 \n", + "5 : 6388 586 146 13 5 1 3 \n", + "6 : 6433 553 133 16 4 2 1 \n", + "7 : 6414 577 136 8 3 1 3 \n", + "8 : 6414 572 137 10 5 2 2 \n", + "9 : 6408 587 121 16 4 1 5 \n", + "10 : 6462 523 135 14 6 2 0 \n", + "11 : 6448 548 121 13 5 2 5 \n", + "12 : 6417 563 132 20 7 1 2 \n", + "13 : 6382 582 163 13 7 5 2 \n", + "\n", + "T : 89762 7993 1900 209 71 31 34 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.2496e-03 sec\n", + "--- Collate = 6.0321e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.254617e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.291363e-01 > 1.000000e-01 [70853]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 70853/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=62.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000889874 [ 0.36 %]\n", + "Velocity : 0.00245668 [ 0.99 %]\n", + "Force : 0.0502822 [ 20.22 %]\n", + "Coefs : 0.02247 [ 9.03 %]\n", + "Output : 0.00470712 [ 1.89 %]\n", + "Levels : 0.000246764 [ 0.10 %]\n", + "Report : 7.46e-07 [ 0.00 %]\n", + "Balance : 3.7e-07 [ 0.00 %]\n", + "Adjust : 0.167505 [ 67.35 %]\n", + "Total : 0.248717 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6371 602 143 16 5 4 1 \n", + "1 : 6393 581 130 27 9 1 1 \n", + "2 : 6418 572 128 14 6 4 0 \n", + "3 : 6403 577 137 16 5 2 2 \n", + "4 : 6397 571 152 14 3 4 1 \n", + "5 : 6390 586 144 13 6 2 1 \n", + "6 : 6430 551 134 19 4 4 0 \n", + "7 : 6403 590 134 9 2 1 3 \n", + "8 : 6408 580 131 14 3 4 2 \n", + "9 : 6402 590 122 15 7 1 5 \n", + "10 : 6449 533 136 18 4 1 1 \n", + "11 : 6452 542 120 18 5 2 3 \n", + "12 : 6418 565 130 21 6 1 1 \n", + "13 : 6377 585 164 15 7 3 3 \n", + "\n", + "T : 89711 8025 1905 229 72 34 24 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.0016e-03 sec\n", + "--- Collate = 6.4999e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.421279e-05 < 1.562500e-03 [10]\n", + "--- Max DT=3.297075e-01 > 1.000000e-01 [70835]\n", + "----------------------------------------------------------------------\n", + " Component | low: 10/100000\n", + " Component | high: 70835/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=62.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00107349 [ 0.42 %]\n", + "Velocity : 0.00267011 [ 1.04 %]\n", + "Force : 0.0518063 [ 20.15 %]\n", + "Coefs : 0.0230099 [ 8.95 %]\n", + "Output : 0.00475266 [ 1.85 %]\n", + "Levels : 0.000284986 [ 0.11 %]\n", + "Report : 6.62e-07 [ 0.00 %]\n", + "Balance : 3.51e-07 [ 0.00 %]\n", + "Adjust : 0.173313 [ 67.41 %]\n", + "Total : 0.257091 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6374 593 148 17 5 3 2 \n", + "1 : 6388 584 132 25 10 2 1 \n", + "2 : 6416 571 130 15 7 3 0 \n", + "3 : 6400 583 135 15 5 4 0 \n", + "4 : 6398 569 149 19 3 3 1 \n", + "5 : 6384 592 144 14 5 1 2 \n", + "6 : 6427 553 139 16 4 2 1 \n", + "7 : 6403 591 133 10 1 2 2 \n", + "8 : 6412 576 131 14 3 1 5 \n", + "9 : 6403 591 122 14 6 3 3 \n", + "10 : 6451 528 141 18 2 1 1 \n", + "11 : 6449 541 127 15 6 2 2 \n", + "12 : 6404 579 130 22 6 0 1 \n", + "13 : 6383 573 167 18 8 3 2 \n", + "\n", + "T : 89692 8024 1928 232 71 30 23 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.2490e-03 sec\n", + "--- Collate = 6.1893e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.117247e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.302693e-01 > 1.000000e-01 [70843]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 70843/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=62.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000994276 [ 0.39 %]\n", + "Velocity : 0.00260433 [ 1.02 %]\n", + "Force : 0.0508584 [ 19.99 %]\n", + "Coefs : 0.0225865 [ 8.88 %]\n", + "Output : 0.00496366 [ 1.95 %]\n", + "Levels : 0.000240627 [ 0.09 %]\n", + "Report : 5.86e-07 [ 0.00 %]\n", + "Balance : 3.65e-07 [ 0.00 %]\n", + "Adjust : 0.172025 [ 67.60 %]\n", + "Total : 0.25446 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6372 592 148 21 4 3 2 \n", + "1 : 6390 582 131 24 10 3 2 \n", + "2 : 6409 576 131 16 7 3 0 \n", + "3 : 6396 587 136 14 4 4 1 \n", + "4 : 6397 570 149 17 5 1 3 \n", + "5 : 6384 595 137 21 2 1 2 \n", + "6 : 6431 550 138 15 4 2 2 \n", + "7 : 6404 590 132 9 4 2 1 \n", + "8 : 6419 568 133 14 2 2 4 \n", + "9 : 6401 594 121 15 5 5 1 \n", + "10 : 6451 528 142 17 2 0 2 \n", + "11 : 6448 540 127 17 5 2 3 \n", + "12 : 6394 587 133 19 6 1 2 \n", + "13 : 6381 566 178 20 3 4 2 \n", + "\n", + "T : 89677 8025 1936 239 63 33 27 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.3802e-03 sec\n", + "--- Collate = 8.8821e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.652389e-05 < 1.562500e-03 [17]\n", + "--- Max DT=3.308228e-01 > 1.000000e-01 [70804]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 70804/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=62.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00101581 [ 0.41 %]\n", + "Velocity : 0.00254272 [ 1.03 %]\n", + "Force : 0.0497808 [ 20.17 %]\n", + "Coefs : 0.0228651 [ 9.26 %]\n", + "Output : 0.00471635 [ 1.91 %]\n", + "Levels : 0.000239862 [ 0.10 %]\n", + "Report : 4.05e-07 [ 0.00 %]\n", + "Balance : 3.43e-07 [ 0.00 %]\n", + "Adjust : 0.165528 [ 67.06 %]\n", + "Total : 0.246842 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6376 583 155 19 3 3 3 \n", + "1 : 6390 580 131 24 10 4 3 \n", + "2 : 6415 573 121 23 6 3 1 \n", + "3 : 6397 585 133 17 5 4 1 \n", + "4 : 6395 567 155 16 5 1 3 \n", + "5 : 6385 596 136 20 1 2 2 \n", + "6 : 6430 548 141 16 2 2 3 \n", + "7 : 6408 584 128 16 3 2 1 \n", + "8 : 6413 574 135 13 2 2 3 \n", + "9 : 6397 593 129 11 6 3 3 \n", + "10 : 6447 532 145 15 1 1 1 \n", + "11 : 6446 541 130 16 3 2 4 \n", + "12 : 6395 585 133 19 5 4 1 \n", + "13 : 6382 567 175 19 5 5 1 \n", + "\n", + "T : 89676 8008 1947 244 57 38 30 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.0915e-03 sec\n", + "--- Collate = 5.8207e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.053448e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.313667e-01 > 1.000000e-01 [70779]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 70779/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=62.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00101753 [ 0.39 %]\n", + "Velocity : 0.00266265 [ 1.02 %]\n", + "Force : 0.0532997 [ 20.44 %]\n", + "Coefs : 0.0240885 [ 9.24 %]\n", + "Output : 0.00494936 [ 1.90 %]\n", + "Levels : 0.00027025 [ 0.10 %]\n", + "Report : 6.46e-07 [ 0.00 %]\n", + "Balance : 3.92e-07 [ 0.00 %]\n", + "Adjust : 0.17425 [ 66.84 %]\n", + "Total : 0.260699 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6375 586 154 15 6 3 3 \n", + "1 : 6387 580 135 23 5 8 4 \n", + "2 : 6410 580 118 24 5 3 2 \n", + "3 : 6396 587 133 14 7 4 1 \n", + "4 : 6395 572 151 16 2 1 5 \n", + "5 : 6384 601 130 22 2 1 2 \n", + "6 : 6423 552 143 14 6 1 3 \n", + "7 : 6402 590 129 16 2 2 1 \n", + "8 : 6409 573 141 14 0 4 1 \n", + "9 : 6394 602 122 13 6 1 4 \n", + "10 : 6450 530 141 18 1 1 1 \n", + "11 : 6441 546 127 17 5 1 5 \n", + "12 : 6388 595 131 18 4 3 3 \n", + "13 : 6381 568 177 17 6 4 1 \n", + "\n", + "T : 89635 8062 1932 241 57 37 36 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.8041e-03 sec\n", + "--- Collate = 6.4266e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.850109e-06 < 1.562500e-03 [19]\n", + "--- Max DT=3.319008e-01 > 1.000000e-01 [70761]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 70761/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=63] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000995802 [ 0.34 %]\n", + "Velocity : 0.00258338 [ 0.87 %]\n", + "Force : 0.0543323 [ 18.40 %]\n", + "Coefs : 0.0240431 [ 8.14 %]\n", + "Output : 0.0407175 [ 13.79 %]\n", + "Levels : 0.000314201 [ 0.11 %]\n", + "Report : 1.692e-06 [ 0.00 %]\n", + "Balance : 1.142e-06 [ 0.00 %]\n", + "Adjust : 0.172143 [ 58.30 %]\n", + "Total : 0.295289 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6374 587 152 15 10 1 3 \n", + "1 : 6385 582 131 28 4 8 4 \n", + "2 : 6407 580 123 22 5 1 4 \n", + "3 : 6384 597 135 14 9 0 3 \n", + "4 : 6392 573 151 18 1 6 1 \n", + "5 : 6391 594 126 24 4 2 1 \n", + "6 : 6420 555 142 13 7 2 3 \n", + "7 : 6396 598 125 19 2 1 1 \n", + "8 : 6404 584 136 12 2 4 0 \n", + "9 : 6386 604 130 13 1 4 4 \n", + "10 : 6449 530 141 17 3 2 0 \n", + "11 : 6440 549 123 20 4 4 2 \n", + "12 : 6388 592 132 19 4 3 4 \n", + "13 : 6375 581 170 18 6 3 1 \n", + "\n", + "T : 89591 8106 1917 252 62 41 31 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.8474e-03 sec\n", + "--- Collate = 5.8515e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.334423e-05 < 1.562500e-03 [16]\n", + "--- Max DT=3.324247e-01 > 1.000000e-01 [70753]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 70753/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=63.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00109419 [ 0.43 %]\n", + "Velocity : 0.00285432 [ 1.13 %]\n", + "Force : 0.0510256 [ 20.12 %]\n", + "Coefs : 0.0231289 [ 9.12 %]\n", + "Output : 0.0046077 [ 1.82 %]\n", + "Levels : 0.000296959 [ 0.12 %]\n", + "Report : 4.1e-07 [ 0.00 %]\n", + "Balance : 4.6e-07 [ 0.00 %]\n", + "Adjust : 0.170466 [ 67.20 %]\n", + "Total : 0.253652 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6372 596 142 17 9 3 3 \n", + "1 : 6379 588 131 29 3 5 7 \n", + "2 : 6409 579 121 22 7 2 2 \n", + "3 : 6388 594 135 12 6 3 4 \n", + "4 : 6391 571 153 19 3 2 3 \n", + "5 : 6389 593 131 21 5 1 2 \n", + "6 : 6416 559 139 18 6 2 2 \n", + "7 : 6396 596 129 17 2 0 2 \n", + "8 : 6395 594 132 14 7 0 0 \n", + "9 : 6392 597 132 13 1 5 2 \n", + "10 : 6445 539 138 15 5 0 0 \n", + "11 : 6438 550 123 21 6 2 2 \n", + "12 : 6394 589 131 18 3 3 4 \n", + "13 : 6370 589 168 18 6 2 1 \n", + "\n", + "T : 89574 8134 1905 254 69 30 34 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.9531e-03 sec\n", + "--- Collate = 5.8415e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.163625e-05 < 1.562500e-03 [11]\n", + "--- Max DT=3.329387e-01 > 1.000000e-01 [70729]\n", + "----------------------------------------------------------------------\n", + " Component | low: 11/100000\n", + " Component | high: 70729/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=63.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00103088 [ 0.41 %]\n", + "Velocity : 0.00254974 [ 1.01 %]\n", + "Force : 0.0519439 [ 20.49 %]\n", + "Coefs : 0.02414 [ 9.52 %]\n", + "Output : 0.00469462 [ 1.85 %]\n", + "Levels : 0.000279382 [ 0.11 %]\n", + "Report : 5.72e-07 [ 0.00 %]\n", + "Balance : 4.06e-07 [ 0.00 %]\n", + "Adjust : 0.168693 [ 66.55 %]\n", + "Total : 0.253498 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6376 591 144 14 11 3 3 \n", + "1 : 6373 590 137 28 4 1 9 \n", + "2 : 6411 581 118 20 10 0 2 \n", + "3 : 6382 602 132 15 4 4 3 \n", + "4 : 6392 571 150 22 3 2 2 \n", + "5 : 6388 591 133 19 7 3 1 \n", + "6 : 6410 568 132 23 5 2 2 \n", + "7 : 6397 593 133 14 3 1 1 \n", + "8 : 6391 600 131 12 4 4 0 \n", + "9 : 6394 589 138 12 3 3 3 \n", + "10 : 6441 545 135 15 5 1 0 \n", + "11 : 6431 562 121 17 6 4 1 \n", + "12 : 6394 586 135 17 4 4 2 \n", + "13 : 6363 598 167 15 5 4 2 \n", + "\n", + "T : 89543 8167 1906 243 74 36 31 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.0076e-03 sec\n", + "--- Collate = 5.7939e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.893813e-05 < 1.562500e-03 [13]\n", + "--- Max DT=3.334437e-01 > 1.000000e-01 [70690]\n", + "----------------------------------------------------------------------\n", + " Component | low: 13/100000\n", + " Component | high: 70690/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=63.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000977412 [ 0.40 %]\n", + "Velocity : 0.00259214 [ 1.05 %]\n", + "Force : 0.0489258 [ 19.79 %]\n", + "Coefs : 0.0236347 [ 9.56 %]\n", + "Output : 0.00462482 [ 1.87 %]\n", + "Levels : 0.00031324 [ 0.13 %]\n", + "Report : 6.15e-07 [ 0.00 %]\n", + "Balance : 3.86e-07 [ 0.00 %]\n", + "Adjust : 0.165946 [ 67.14 %]\n", + "Total : 0.247176 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6378 588 143 18 11 2 2 \n", + "1 : 6377 585 137 25 8 5 5 \n", + "2 : 6409 586 116 21 4 6 0 \n", + "3 : 6380 598 136 15 6 2 5 \n", + "4 : 6388 569 156 22 4 1 2 \n", + "5 : 6385 586 140 19 9 1 2 \n", + "6 : 6406 570 135 21 5 3 2 \n", + "7 : 6394 598 128 14 6 1 1 \n", + "8 : 6389 604 131 10 3 4 1 \n", + "9 : 6385 596 138 15 4 1 3 \n", + "10 : 6443 541 134 16 5 3 0 \n", + "11 : 6427 567 122 14 8 2 2 \n", + "12 : 6394 586 134 15 9 1 3 \n", + "13 : 6361 597 171 13 4 6 2 \n", + "\n", + "T : 89516 8171 1921 238 86 38 30 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 7.6385e-03 sec\n", + "--- Collate = 5.1990e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.375675e-05 < 1.562500e-03 [23]\n", + "--- Max DT=3.339392e-01 > 1.000000e-01 [70691]\n", + "----------------------------------------------------------------------\n", + " Component | low: 23/100000\n", + " Component | high: 70691/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=63.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00101615 [ 0.44 %]\n", + "Velocity : 0.00240601 [ 1.05 %]\n", + "Force : 0.0478232 [ 20.81 %]\n", + "Coefs : 0.0217121 [ 9.45 %]\n", + "Output : 0.00436068 [ 1.90 %]\n", + "Levels : 0.000235466 [ 0.10 %]\n", + "Report : 6.03e-07 [ 0.00 %]\n", + "Balance : 3.38e-07 [ 0.00 %]\n", + "Adjust : 0.152088 [ 66.18 %]\n", + "Total : 0.229796 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6380 586 145 16 9 3 3 \n", + "1 : 6374 590 136 25 6 6 5 \n", + "2 : 6405 591 115 22 5 3 1 \n", + "3 : 6386 593 138 14 4 1 6 \n", + "4 : 6391 562 159 19 9 1 1 \n", + "5 : 6385 588 142 16 7 2 2 \n", + "6 : 6402 574 135 21 4 3 3 \n", + "7 : 6394 599 128 13 6 1 1 \n", + "8 : 6388 603 129 15 0 3 4 \n", + "9 : 6380 608 131 15 5 0 3 \n", + "10 : 6447 535 136 14 5 4 1 \n", + "11 : 6434 555 127 16 4 3 3 \n", + "12 : 6392 585 137 17 7 1 3 \n", + "13 : 6360 599 172 9 8 3 3 \n", + "\n", + "T : 89518 8168 1930 232 79 34 39 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.2516e-03 sec\n", + "--- Collate = 6.0624e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.288582e-05 < 1.562500e-03 [22]\n", + "--- Max DT=3.344268e-01 > 1.000000e-01 [70689]\n", + "----------------------------------------------------------------------\n", + " Component | low: 22/100000\n", + " Component | high: 70689/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=63.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00088282 [ 0.36 %]\n", + "Velocity : 0.00238211 [ 0.98 %]\n", + "Force : 0.0483305 [ 19.96 %]\n", + "Coefs : 0.0222341 [ 9.18 %]\n", + "Output : 0.00468328 [ 1.93 %]\n", + "Levels : 0.000245804 [ 0.10 %]\n", + "Report : 4.85e-07 [ 0.00 %]\n", + "Balance : 3.57e-07 [ 0.00 %]\n", + "Adjust : 0.163159 [ 67.40 %]\n", + "Total : 0.242084 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6376 591 139 22 7 5 2 \n", + "1 : 6365 598 139 24 8 3 5 \n", + "2 : 6407 593 113 21 3 2 3 \n", + "3 : 6387 582 146 17 1 3 6 \n", + "4 : 6389 567 155 20 8 3 0 \n", + "5 : 6387 586 140 18 5 3 3 \n", + "6 : 6397 575 136 23 6 2 3 \n", + "7 : 6394 600 126 14 5 2 1 \n", + "8 : 6380 603 136 15 1 2 5 \n", + "9 : 6380 604 135 15 4 4 0 \n", + "10 : 6443 543 129 18 4 1 4 \n", + "11 : 6432 558 128 15 4 1 4 \n", + "12 : 6398 577 140 18 3 2 4 \n", + "13 : 6358 604 171 9 4 4 4 \n", + "\n", + "T : 89493 8181 1933 249 63 37 44 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.0431e-03 sec\n", + "--- Collate = 5.7564e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.948340e-06 < 1.562500e-03 [22]\n", + "--- Max DT=3.349058e-01 > 1.000000e-01 [70685]\n", + "----------------------------------------------------------------------\n", + " Component | low: 22/100000\n", + " Component | high: 70685/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=63.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00101033 [ 0.41 %]\n", + "Velocity : 0.00244698 [ 1.00 %]\n", + "Force : 0.0501926 [ 20.46 %]\n", + "Coefs : 0.0228118 [ 9.30 %]\n", + "Output : 0.00470429 [ 1.92 %]\n", + "Levels : 0.000262874 [ 0.11 %]\n", + "Report : 4.1e-07 [ 0.00 %]\n", + "Balance : 3.87e-07 [ 0.00 %]\n", + "Adjust : 0.163716 [ 66.74 %]\n", + "Total : 0.245319 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6371 593 142 20 8 5 3 \n", + "1 : 6357 609 136 24 9 2 5 \n", + "2 : 6411 587 113 20 4 2 5 \n", + "3 : 6375 594 147 16 3 3 4 \n", + "4 : 6381 574 157 18 10 1 1 \n", + "5 : 6383 593 141 14 4 5 2 \n", + "6 : 6399 573 137 21 6 4 2 \n", + "7 : 6394 599 131 10 3 3 2 \n", + "8 : 6379 606 134 13 4 1 5 \n", + "9 : 6371 615 131 18 3 3 1 \n", + "10 : 6439 548 129 16 6 0 4 \n", + "11 : 6429 561 128 16 3 1 4 \n", + "12 : 6403 573 139 17 3 3 4 \n", + "13 : 6357 599 174 12 5 2 5 \n", + "\n", + "T : 89449 8224 1939 235 71 35 47 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 7.7333e-03 sec\n", + "--- Collate = 6.9818e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.377475e-05 < 1.562500e-03 [21]\n", + "--- Max DT=3.353758e-01 > 1.000000e-01 [70653]\n", + "----------------------------------------------------------------------\n", + " Component | low: 21/100000\n", + " Component | high: 70653/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=63.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000943375 [ 0.40 %]\n", + "Velocity : 0.00238068 [ 1.02 %]\n", + "Force : 0.0479003 [ 20.53 %]\n", + "Coefs : 0.0221742 [ 9.50 %]\n", + "Output : 0.0044252 [ 1.90 %]\n", + "Levels : 0.00023182 [ 0.10 %]\n", + "Report : 5.92e-07 [ 0.00 %]\n", + "Balance : 3.8e-07 [ 0.00 %]\n", + "Adjust : 0.155125 [ 66.48 %]\n", + "Total : 0.233336 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6365 602 139 20 6 4 6 \n", + "1 : 6354 612 140 21 7 5 3 \n", + "2 : 6411 586 112 20 5 2 6 \n", + "3 : 6369 604 142 18 4 2 3 \n", + "4 : 6380 571 161 17 10 1 2 \n", + "5 : 6375 600 143 14 3 4 3 \n", + "6 : 6390 577 141 21 8 2 3 \n", + "7 : 6390 602 130 10 4 3 3 \n", + "8 : 6380 603 135 13 7 2 2 \n", + "9 : 6373 615 130 16 4 1 3 \n", + "10 : 6432 555 127 16 7 1 4 \n", + "11 : 6428 566 125 17 1 3 2 \n", + "12 : 6401 573 140 18 4 2 4 \n", + "13 : 6354 599 176 13 3 4 5 \n", + "\n", + "T : 89402 8265 1941 234 73 36 49 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 7.7045e-03 sec\n", + "--- Collate = 5.1439e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.630626e-05 < 1.562500e-03 [27]\n", + "--- Max DT=3.358379e-01 > 1.000000e-01 [70634]\n", + "----------------------------------------------------------------------\n", + " Component | low: 27/100000\n", + " Component | high: 70634/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=63.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000880767 [ 0.35 %]\n", + "Velocity : 0.00225157 [ 0.90 %]\n", + "Force : 0.0529383 [ 21.16 %]\n", + "Coefs : 0.0234241 [ 9.36 %]\n", + "Output : 0.00473431 [ 1.89 %]\n", + "Levels : 0.000259196 [ 0.10 %]\n", + "Report : 5.86e-07 [ 0.00 %]\n", + "Balance : 3.66e-07 [ 0.00 %]\n", + "Adjust : 0.165541 [ 66.17 %]\n", + "Total : 0.250186 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6364 601 137 23 10 0 7 \n", + "1 : 6359 607 140 18 8 7 3 \n", + "2 : 6406 588 117 16 5 6 4 \n", + "3 : 6372 604 139 15 7 3 2 \n", + "4 : 6383 569 156 24 6 2 2 \n", + "5 : 6369 605 143 16 3 3 3 \n", + "6 : 6387 581 138 23 5 4 4 \n", + "7 : 6395 598 128 10 6 1 4 \n", + "8 : 6379 609 129 14 6 4 1 \n", + "9 : 6373 611 134 16 2 3 3 \n", + "10 : 6436 550 131 15 5 4 1 \n", + "11 : 6432 561 127 15 4 2 1 \n", + "12 : 6400 571 146 16 5 1 3 \n", + "13 : 6356 589 185 11 4 5 4 \n", + "\n", + "T : 89411 8244 1950 232 76 45 42 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 7.6382e-03 sec\n", + "--- Collate = 4.5894e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.173465e-05 < 1.562500e-03 [14]\n", + "--- Max DT=3.362919e-01 > 1.000000e-01 [70626]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 70626/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=63.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000859123 [ 0.37 %]\n", + "Velocity : 0.00235159 [ 1.00 %]\n", + "Force : 0.0484791 [ 20.64 %]\n", + "Coefs : 0.0246625 [ 10.50 %]\n", + "Output : 0.0044086 [ 1.88 %]\n", + "Levels : 0.000225745 [ 0.10 %]\n", + "Report : 3.54e-07 [ 0.00 %]\n", + "Balance : 3.73e-07 [ 0.00 %]\n", + "Adjust : 0.153697 [ 65.45 %]\n", + "Total : 0.23484 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6363 599 140 25 7 4 4 \n", + "1 : 6360 602 140 22 9 5 4 \n", + "2 : 6405 587 119 18 5 3 5 \n", + "3 : 6371 599 148 13 5 4 2 \n", + "4 : 6386 565 155 26 4 4 2 \n", + "5 : 6359 617 139 15 5 3 4 \n", + "6 : 6384 581 142 17 9 3 6 \n", + "7 : 6391 602 130 11 2 2 4 \n", + "8 : 6377 610 129 13 10 0 3 \n", + "9 : 6371 615 134 10 4 5 3 \n", + "10 : 6435 547 134 15 2 6 3 \n", + "11 : 6429 564 129 16 4 0 0 \n", + "12 : 6395 577 146 16 5 2 1 \n", + "13 : 6356 589 185 13 2 4 5 \n", + "\n", + "T : 89382 8254 1970 230 73 45 46 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 7.6594e-03 sec\n", + "--- Collate = 4.9838e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.744422e-05 < 1.562500e-03 [23]\n", + "--- Max DT=3.367383e-01 > 1.000000e-01 [70626]\n", + "----------------------------------------------------------------------\n", + " Component | low: 23/100000\n", + " Component | high: 70626/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=64] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000845044 [ 0.31 %]\n", + "Velocity : 0.0024137 [ 0.87 %]\n", + "Force : 0.049364 [ 17.82 %]\n", + "Coefs : 0.0247202 [ 8.92 %]\n", + "Output : 0.040694 [ 14.69 %]\n", + "Levels : 0.000268024 [ 0.10 %]\n", + "Report : 1.375e-06 [ 0.00 %]\n", + "Balance : 1.052e-06 [ 0.00 %]\n", + "Adjust : 0.158563 [ 57.24 %]\n", + "Total : 0.277021 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6361 600 140 24 10 5 2 \n", + "1 : 6355 607 137 22 14 1 6 \n", + "2 : 6404 588 120 16 4 6 4 \n", + "3 : 6373 600 146 12 5 3 3 \n", + "4 : 6389 561 156 25 7 1 3 \n", + "5 : 6357 618 139 16 6 3 3 \n", + "6 : 6386 577 142 19 8 7 3 \n", + "7 : 6393 599 128 13 3 4 2 \n", + "8 : 6369 611 136 14 5 4 3 \n", + "9 : 6376 607 137 10 3 5 4 \n", + "10 : 6442 539 134 17 2 4 4 \n", + "11 : 6426 567 131 12 6 0 0 \n", + "12 : 6388 586 144 15 6 3 0 \n", + "13 : 6353 591 184 16 4 3 3 \n", + "\n", + "T : 89372 8251 1974 231 83 49 40 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 7.7774e-03 sec\n", + "--- Collate = 4.9992e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.426227e-05 < 1.562500e-03 [29]\n", + "--- Max DT=3.371760e-01 > 1.000000e-01 [70628]\n", + "----------------------------------------------------------------------\n", + " Component | low: 29/100000\n", + " Component | high: 70628/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=64.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000741456 [ 0.33 %]\n", + "Velocity : 0.00193387 [ 0.85 %]\n", + "Force : 0.0475403 [ 20.84 %]\n", + "Coefs : 0.0229317 [ 10.05 %]\n", + "Output : 0.0042032 [ 1.84 %]\n", + "Levels : 0.000237528 [ 0.10 %]\n", + "Report : 6.78e-07 [ 0.00 %]\n", + "Balance : 3.72e-07 [ 0.00 %]\n", + "Adjust : 0.150365 [ 65.92 %]\n", + "Total : 0.228112 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6363 598 141 21 10 8 1 \n", + "1 : 6352 611 132 28 13 0 6 \n", + "2 : 6406 583 124 13 5 6 5 \n", + "3 : 6379 594 142 15 6 1 5 \n", + "4 : 6388 563 157 20 7 2 5 \n", + "5 : 6356 624 132 19 5 2 4 \n", + "6 : 6384 578 146 16 9 4 5 \n", + "7 : 6395 600 123 14 4 4 2 \n", + "8 : 6366 609 138 18 2 5 4 \n", + "9 : 6377 603 140 10 3 5 4 \n", + "10 : 6439 543 131 16 6 1 6 \n", + "11 : 6424 571 128 15 1 2 1 \n", + "12 : 6391 576 153 11 9 1 1 \n", + "13 : 6349 592 187 17 5 1 3 \n", + "\n", + "T : 89369 8245 1974 233 85 42 52 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.0910e-03 sec\n", + "--- Collate = 5.5479e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.021716e-05 < 1.562500e-03 [25]\n", + "--- Max DT=3.376052e-01 > 1.000000e-01 [70607]\n", + "----------------------------------------------------------------------\n", + " Component | low: 25/100000\n", + " Component | high: 70607/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=64.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000827031 [ 0.34 %]\n", + "Velocity : 0.002009 [ 0.82 %]\n", + "Force : 0.0498379 [ 20.29 %]\n", + "Coefs : 0.0238774 [ 9.72 %]\n", + "Output : 0.00421935 [ 1.72 %]\n", + "Levels : 0.000238847 [ 0.10 %]\n", + "Report : 6.12e-07 [ 0.00 %]\n", + "Balance : 3.72e-07 [ 0.00 %]\n", + "Adjust : 0.164412 [ 66.95 %]\n", + "Total : 0.245585 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6366 593 144 22 9 3 5 \n", + "1 : 6356 607 132 27 10 6 4 \n", + "2 : 6403 584 126 13 5 6 5 \n", + "3 : 6376 595 143 16 5 3 4 \n", + "4 : 6390 566 147 27 6 0 6 \n", + "5 : 6352 627 132 18 8 2 3 \n", + "6 : 6376 588 143 16 12 4 3 \n", + "7 : 6397 595 127 12 3 5 3 \n", + "8 : 6362 613 141 15 2 4 5 \n", + "9 : 6371 606 140 13 3 4 5 \n", + "10 : 6441 541 129 18 6 3 4 \n", + "11 : 6419 573 132 14 1 0 3 \n", + "12 : 6383 585 152 14 4 3 1 \n", + "13 : 6349 591 189 18 5 2 0 \n", + "\n", + "T : 89341 8264 1977 243 79 45 51 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 7.5630e-03 sec\n", + "--- Collate = 5.2510e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.699641e-05 < 1.562500e-03 [23]\n", + "--- Max DT=3.380249e-01 > 1.000000e-01 [70581]\n", + "----------------------------------------------------------------------\n", + " Component | low: 23/100000\n", + " Component | high: 70581/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=64.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000833118 [ 0.37 %]\n", + "Velocity : 0.00200411 [ 0.90 %]\n", + "Force : 0.047913 [ 21.48 %]\n", + "Coefs : 0.0223788 [ 10.03 %]\n", + "Output : 0.00382826 [ 1.72 %]\n", + "Levels : 0.000218573 [ 0.10 %]\n", + "Report : 3.06e-07 [ 0.00 %]\n", + "Balance : 3.85e-07 [ 0.00 %]\n", + "Adjust : 0.145693 [ 65.33 %]\n", + "Total : 0.223024 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6361 599 142 25 8 2 5 \n", + "1 : 6356 603 137 27 9 6 4 \n", + "2 : 6401 586 128 11 8 5 3 \n", + "3 : 6375 593 146 15 6 3 4 \n", + "4 : 6386 572 138 28 12 2 4 \n", + "5 : 6349 630 131 19 8 1 4 \n", + "6 : 6375 589 141 18 13 3 3 \n", + "7 : 6398 595 124 14 6 1 4 \n", + "8 : 6365 609 141 16 5 1 5 \n", + "9 : 6374 604 137 16 3 4 4 \n", + "10 : 6440 542 127 19 8 4 2 \n", + "11 : 6416 577 133 11 2 0 3 \n", + "12 : 6375 591 153 12 6 2 3 \n", + "13 : 6349 592 186 22 3 1 1 \n", + "\n", + "T : 89320 8282 1964 253 97 35 49 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 7.5200e-03 sec\n", + "--- Collate = 5.1959e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.849959e-05 < 1.562500e-03 [24]\n", + "--- Max DT=3.384353e-01 > 1.000000e-01 [70546]\n", + "----------------------------------------------------------------------\n", + " Component | low: 24/100000\n", + " Component | high: 70546/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=64.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000743737 [ 0.32 %]\n", + "Velocity : 0.0018737 [ 0.81 %]\n", + "Force : 0.0475344 [ 20.46 %]\n", + "Coefs : 0.0231643 [ 9.97 %]\n", + "Output : 0.00407642 [ 1.75 %]\n", + "Levels : 0.000257592 [ 0.11 %]\n", + "Report : 7.07e-07 [ 0.00 %]\n", + "Balance : 3.4e-07 [ 0.00 %]\n", + "Adjust : 0.15457 [ 66.52 %]\n", + "Total : 0.232383 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6360 600 139 29 5 3 6 \n", + "1 : 6347 608 144 22 13 2 6 \n", + "2 : 6402 581 129 14 7 4 5 \n", + "3 : 6374 591 147 16 8 4 2 \n", + "4 : 6382 577 138 25 12 5 3 \n", + "5 : 6346 637 130 17 3 6 3 \n", + "6 : 6372 588 144 20 11 5 2 \n", + "7 : 6388 602 128 13 5 3 3 \n", + "8 : 6364 610 146 11 5 2 4 \n", + "9 : 6378 600 136 18 4 2 4 \n", + "10 : 6434 552 126 15 10 4 1 \n", + "11 : 6414 583 127 12 3 1 2 \n", + "12 : 6375 598 145 14 6 1 3 \n", + "13 : 6344 598 186 19 6 0 1 \n", + "\n", + "T : 89280 8325 1965 245 98 42 45 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 7.8624e-03 sec\n", + "--- Collate = 5.4204e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.724300e-07 < 1.562500e-03 [15]\n", + "--- Max DT=3.388368e-01 > 1.000000e-01 [70532]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 70532/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=64.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000762517 [ 0.34 %]\n", + "Velocity : 0.00196958 [ 0.88 %]\n", + "Force : 0.0459568 [ 20.44 %]\n", + "Coefs : 0.0223402 [ 9.93 %]\n", + "Output : 0.00402206 [ 1.79 %]\n", + "Levels : 0.000232594 [ 0.10 %]\n", + "Report : 6.03e-07 [ 0.00 %]\n", + "Balance : 3.51e-07 [ 0.00 %]\n", + "Adjust : 0.149433 [ 66.45 %]\n", + "Total : 0.224886 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6357 605 138 26 6 7 3 \n", + "1 : 6341 614 145 23 10 4 5 \n", + "2 : 6395 597 119 16 8 2 5 \n", + "3 : 6368 597 145 19 9 2 2 \n", + "4 : 6379 578 139 29 7 8 2 \n", + "5 : 6350 629 132 18 4 5 4 \n", + "6 : 6373 591 140 22 10 2 4 \n", + "7 : 6386 601 130 13 5 4 3 \n", + "8 : 6362 612 147 11 4 6 0 \n", + "9 : 6373 601 141 18 4 3 2 \n", + "10 : 6435 549 127 17 10 2 2 \n", + "11 : 6410 592 121 13 3 3 0 \n", + "12 : 6370 601 146 15 3 4 3 \n", + "13 : 6349 591 194 12 7 0 1 \n", + "\n", + "T : 89248 8358 1964 252 90 52 36 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 7.9790e-03 sec\n", + "--- Collate = 5.3194e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.356339e-05 < 1.562500e-03 [12]\n", + "--- Max DT=3.392293e-01 > 1.000000e-01 [70519]\n", + "----------------------------------------------------------------------\n", + " Component | low: 12/100000\n", + " Component | high: 70519/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=64.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000793627 [ 0.35 %]\n", + "Velocity : 0.00211894 [ 0.93 %]\n", + "Force : 0.0471489 [ 20.66 %]\n", + "Coefs : 0.0222532 [ 9.75 %]\n", + "Output : 0.00407857 [ 1.79 %]\n", + "Levels : 0.000227995 [ 0.10 %]\n", + "Report : 6.2e-07 [ 0.00 %]\n", + "Balance : 3.64e-07 [ 0.00 %]\n", + "Adjust : 0.151425 [ 66.35 %]\n", + "Total : 0.228224 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6351 613 136 27 7 6 2 \n", + "1 : 6340 618 145 23 6 5 5 \n", + "2 : 6395 594 121 18 8 1 5 \n", + "3 : 6364 603 143 20 7 4 1 \n", + "4 : 6384 573 145 21 10 4 5 \n", + "5 : 6346 630 133 21 2 5 5 \n", + "6 : 6373 592 139 25 8 1 4 \n", + "7 : 6386 599 130 16 4 4 3 \n", + "8 : 6355 619 144 16 5 2 1 \n", + "9 : 6373 599 141 19 7 2 1 \n", + "10 : 6437 545 127 21 6 3 3 \n", + "11 : 6404 599 121 12 4 2 0 \n", + "12 : 6373 596 149 15 3 2 4 \n", + "13 : 6348 595 190 14 5 2 0 \n", + "\n", + "T : 89229 8375 1964 268 82 43 39 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 7.6072e-03 sec\n", + "--- Collate = 5.3980e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.799555e-06 < 1.562500e-03 [20]\n", + "--- Max DT=3.396126e-01 > 1.000000e-01 [70541]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 70541/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=64.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000822746 [ 0.37 %]\n", + "Velocity : 0.00193483 [ 0.88 %]\n", + "Force : 0.045919 [ 20.77 %]\n", + "Coefs : 0.0220448 [ 9.97 %]\n", + "Output : 0.00394218 [ 1.78 %]\n", + "Levels : 0.000273604 [ 0.12 %]\n", + "Report : 5.16e-07 [ 0.00 %]\n", + "Balance : 3.62e-07 [ 0.00 %]\n", + "Adjust : 0.145957 [ 66.03 %]\n", + "Total : 0.221049 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6334 628 138 27 9 2 4 \n", + "1 : 6338 622 140 29 2 9 2 \n", + "2 : 6395 600 115 21 5 4 2 \n", + "3 : 6360 602 149 22 5 2 2 \n", + "4 : 6388 564 149 22 8 5 6 \n", + "5 : 6345 626 136 22 5 1 7 \n", + "6 : 6372 588 143 23 8 4 4 \n", + "7 : 6383 607 126 15 4 3 4 \n", + "8 : 6361 611 142 23 2 2 1 \n", + "9 : 6367 605 141 19 7 1 2 \n", + "10 : 6430 550 125 26 5 1 5 \n", + "11 : 6404 594 124 13 4 3 0 \n", + "12 : 6374 597 143 20 2 3 3 \n", + "13 : 6342 597 193 16 1 4 1 \n", + "\n", + "T : 89193 8391 1964 298 67 44 43 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.0398e-03 sec\n", + "--- Collate = 6.8121e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.671916e-05 < 1.562500e-03 [23]\n", + "--- Max DT=3.399870e-01 > 1.000000e-01 [70503]\n", + "----------------------------------------------------------------------\n", + " Component | low: 23/100000\n", + " Component | high: 70503/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=64.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000734714 [ 0.32 %]\n", + "Velocity : 0.00207885 [ 0.90 %]\n", + "Force : 0.0476583 [ 20.67 %]\n", + "Coefs : 0.022418 [ 9.72 %]\n", + "Output : 0.00408772 [ 1.77 %]\n", + "Levels : 0.000263045 [ 0.11 %]\n", + "Report : 4.68e-07 [ 0.00 %]\n", + "Balance : 3.82e-07 [ 0.00 %]\n", + "Adjust : 0.153163 [ 66.43 %]\n", + "Total : 0.23056 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6326 632 139 29 9 5 2 \n", + "1 : 6330 629 146 22 8 4 3 \n", + "2 : 6394 599 119 21 6 1 2 \n", + "3 : 6359 600 154 17 6 3 3 \n", + "4 : 6382 569 150 22 8 3 8 \n", + "5 : 6346 623 136 22 7 3 5 \n", + "6 : 6376 586 141 22 7 6 4 \n", + "7 : 6377 613 126 16 4 3 3 \n", + "8 : 6361 605 146 23 6 1 0 \n", + "9 : 6360 611 142 22 2 2 3 \n", + "10 : 6428 553 126 23 4 4 4 \n", + "11 : 6401 594 128 12 3 2 2 \n", + "12 : 6364 605 144 19 6 1 3 \n", + "13 : 6339 604 188 16 2 1 4 \n", + "\n", + "T : 89143 8423 1985 286 78 39 46 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 7.9895e-03 sec\n", + "--- Collate = 5.1076e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.551493e-06 < 1.562500e-03 [22]\n", + "--- Max DT=3.403532e-01 > 1.000000e-01 [70506]\n", + "----------------------------------------------------------------------\n", + " Component | low: 22/100000\n", + " Component | high: 70506/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=64.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000836078 [ 0.35 %]\n", + "Velocity : 0.00228997 [ 0.96 %]\n", + "Force : 0.0491221 [ 20.59 %]\n", + "Coefs : 0.0241385 [ 10.12 %]\n", + "Output : 0.00444341 [ 1.86 %]\n", + "Levels : 0.000231106 [ 0.10 %]\n", + "Report : 4.35e-07 [ 0.00 %]\n", + "Balance : 4.37e-07 [ 0.00 %]\n", + "Adjust : 0.157388 [ 65.96 %]\n", + "Total : 0.238616 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6324 633 140 29 7 6 3 \n", + "1 : 6325 633 148 22 8 2 4 \n", + "2 : 6389 604 118 18 9 2 2 \n", + "3 : 6355 605 152 17 5 5 3 \n", + "4 : 6382 565 154 22 8 6 5 \n", + "5 : 6342 623 138 23 10 5 1 \n", + "6 : 6377 586 139 24 8 2 6 \n", + "7 : 6375 619 123 17 5 1 2 \n", + "8 : 6368 597 145 27 3 1 1 \n", + "9 : 6363 604 146 21 2 3 3 \n", + "10 : 6433 544 131 23 4 3 4 \n", + "11 : 6403 590 128 15 1 1 4 \n", + "12 : 6368 601 141 23 5 4 0 \n", + "13 : 6340 606 184 14 6 0 4 \n", + "\n", + "T : 89144 8410 1987 295 81 41 42 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.2992e-03 sec\n", + "--- Collate = 5.5931e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.626864e-06 < 1.562500e-03 [22]\n", + "--- Max DT=3.407109e-01 > 1.000000e-01 [70512]\n", + "----------------------------------------------------------------------\n", + " Component | low: 22/100000\n", + " Component | high: 70512/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=65] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000800503 [ 0.25 %]\n", + "Velocity : 0.00240076 [ 0.76 %]\n", + "Force : 0.0501785 [ 15.85 %]\n", + "Coefs : 0.0232944 [ 7.36 %]\n", + "Output : 0.0505495 [ 15.97 %]\n", + "Levels : 0.000264985 [ 0.08 %]\n", + "Report : 2.499e-06 [ 0.00 %]\n", + "Balance : 1.405e-06 [ 0.00 %]\n", + "Adjust : 0.188899 [ 59.67 %]\n", + "Total : 0.316562 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6319 636 142 32 4 7 2 \n", + "1 : 6329 635 141 25 5 3 4 \n", + "2 : 6387 610 114 16 9 3 3 \n", + "3 : 6351 609 151 18 5 2 6 \n", + "4 : 6379 574 147 26 8 2 6 \n", + "5 : 6344 618 141 24 8 6 1 \n", + "6 : 6371 592 145 19 8 2 5 \n", + "7 : 6366 627 126 15 5 2 1 \n", + "8 : 6368 599 141 27 5 1 1 \n", + "9 : 6349 616 149 19 3 2 4 \n", + "10 : 6432 547 129 22 5 5 2 \n", + "11 : 6407 586 126 17 1 2 3 \n", + "12 : 6367 604 139 21 8 3 0 \n", + "13 : 6344 606 180 12 7 2 3 \n", + "\n", + "T : 89113 8459 1971 293 81 42 41 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.0685e-03 sec\n", + "--- Collate = 6.3045e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.165150e-04 < 1.562500e-03 [18]\n", + "--- Max DT=3.410614e-01 > 1.000000e-01 [70488]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 70488/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=65.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00101803 [ 0.40 %]\n", + "Velocity : 0.00287627 [ 1.13 %]\n", + "Force : 0.0522982 [ 20.61 %]\n", + "Coefs : 0.0279046 [ 11.00 %]\n", + "Output : 0.00457735 [ 1.80 %]\n", + "Levels : 0.000289082 [ 0.11 %]\n", + "Report : 6.34e-07 [ 0.00 %]\n", + "Balance : 3.75e-07 [ 0.00 %]\n", + "Adjust : 0.164638 [ 64.87 %]\n", + "Total : 0.253783 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6313 635 151 27 8 5 3 \n", + "1 : 6331 633 138 27 6 2 5 \n", + "2 : 6390 605 118 14 9 2 4 \n", + "3 : 6355 601 161 14 4 1 6 \n", + "4 : 6380 576 147 22 8 4 5 \n", + "5 : 6344 617 141 25 10 3 2 \n", + "6 : 6373 593 146 18 6 3 3 \n", + "7 : 6369 622 127 16 6 2 0 \n", + "8 : 6368 596 148 24 2 3 1 \n", + "9 : 6353 613 146 19 4 4 3 \n", + "10 : 6426 556 130 19 5 3 3 \n", + "11 : 6409 585 124 18 2 1 3 \n", + "12 : 6370 604 133 23 10 1 1 \n", + "13 : 6341 606 181 14 5 7 0 \n", + "\n", + "T : 89122 8442 1991 280 85 41 39 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.3740e-03 sec\n", + "--- Collate = 6.1652e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.211461e-05 < 1.562500e-03 [18]\n", + "--- Max DT=3.414044e-01 > 1.000000e-01 [70463]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 70463/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=65.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000976767 [ 0.37 %]\n", + "Velocity : 0.00257823 [ 0.99 %]\n", + "Force : 0.0550058 [ 21.08 %]\n", + "Coefs : 0.0266945 [ 10.23 %]\n", + "Output : 0.00448707 [ 1.72 %]\n", + "Levels : 0.000236613 [ 0.09 %]\n", + "Report : 6.46e-07 [ 0.00 %]\n", + "Balance : 3.78e-07 [ 0.00 %]\n", + "Adjust : 0.170696 [ 65.43 %]\n", + "Total : 0.260882 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6305 643 152 23 12 3 4 \n", + "1 : 6328 639 135 28 5 3 4 \n", + "2 : 6398 594 122 17 3 4 4 \n", + "3 : 6355 599 161 15 5 2 5 \n", + "4 : 6374 583 146 24 6 5 4 \n", + "5 : 6347 614 141 29 4 2 5 \n", + "6 : 6374 592 147 15 9 5 0 \n", + "7 : 6362 627 131 12 9 1 0 \n", + "8 : 6368 601 146 20 2 3 2 \n", + "9 : 6352 615 143 20 5 3 4 \n", + "10 : 6422 558 129 21 6 3 3 \n", + "11 : 6407 584 130 13 4 3 1 \n", + "12 : 6363 607 137 21 11 2 1 \n", + "13 : 6340 606 181 14 7 4 2 \n", + "\n", + "T : 89095 8462 2001 272 88 43 39 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 7.6921e-03 sec\n", + "--- Collate = 5.3296e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.516828e-06 < 1.562500e-03 [29]\n", + "--- Max DT=3.417394e-01 > 1.000000e-01 [70445]\n", + "----------------------------------------------------------------------\n", + " Component | low: 29/100000\n", + " Component | high: 70445/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=65.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000762764 [ 0.30 %]\n", + "Velocity : 0.00257529 [ 1.01 %]\n", + "Force : 0.0514128 [ 20.16 %]\n", + "Coefs : 0.0253806 [ 9.95 %]\n", + "Output : 0.00430125 [ 1.69 %]\n", + "Levels : 0.000230065 [ 0.09 %]\n", + "Report : 5.51e-07 [ 0.00 %]\n", + "Balance : 3.77e-07 [ 0.00 %]\n", + "Adjust : 0.17024 [ 66.74 %]\n", + "Total : 0.255076 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6296 652 155 18 11 5 5 \n", + "1 : 6329 634 138 31 3 2 5 \n", + "2 : 6400 596 120 13 6 5 2 \n", + "3 : 6354 596 164 16 5 3 4 \n", + "4 : 6369 587 148 21 5 8 4 \n", + "5 : 6350 614 141 22 7 3 5 \n", + "6 : 6373 592 148 14 8 6 1 \n", + "7 : 6358 623 137 17 3 3 1 \n", + "8 : 6360 614 140 20 5 1 2 \n", + "9 : 6355 614 141 19 7 3 3 \n", + "10 : 6420 561 129 19 6 3 4 \n", + "11 : 6405 584 130 14 4 3 2 \n", + "12 : 6356 612 137 27 6 2 2 \n", + "13 : 6336 613 177 15 7 3 3 \n", + "\n", + "T : 89061 8492 2005 266 83 50 43 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 7.7004e-03 sec\n", + "--- Collate = 5.2976e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.676555e-04 < 1.562500e-03 [19]\n", + "--- Max DT=3.420664e-01 > 1.000000e-01 [70428]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 70428/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=65.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000868921 [ 0.35 %]\n", + "Velocity : 0.00233964 [ 0.94 %]\n", + "Force : 0.0505011 [ 20.19 %]\n", + "Coefs : 0.0310327 [ 12.41 %]\n", + "Output : 0.00431069 [ 1.72 %]\n", + "Levels : 0.000229572 [ 0.09 %]\n", + "Report : 5.46e-07 [ 0.00 %]\n", + "Balance : 3.52e-07 [ 0.00 %]\n", + "Adjust : 0.160686 [ 64.23 %]\n", + "Total : 0.250155 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6293 647 166 20 6 4 6 \n", + "1 : 6325 631 144 31 4 3 4 \n", + "2 : 6397 600 120 13 6 3 3 \n", + "3 : 6355 594 166 15 5 4 3 \n", + "4 : 6368 585 152 19 9 2 7 \n", + "5 : 6350 617 134 25 7 5 4 \n", + "6 : 6377 588 149 12 10 4 2 \n", + "7 : 6357 621 138 21 0 3 2 \n", + "8 : 6363 607 142 19 8 0 3 \n", + "9 : 6351 615 140 23 10 0 3 \n", + "10 : 6419 556 136 18 6 3 4 \n", + "11 : 6402 589 129 12 8 0 2 \n", + "12 : 6350 614 149 16 7 4 2 \n", + "13 : 6331 620 175 15 4 3 6 \n", + "\n", + "T : 89038 8484 2040 259 90 38 51 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 7.7167e-03 sec\n", + "--- Collate = 5.1036e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.584886e-05 < 1.562500e-03 [29]\n", + "--- Max DT=3.424506e-01 > 1.000000e-01 [70417]\n", + "----------------------------------------------------------------------\n", + " Component | low: 29/100000\n", + " Component | high: 70417/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=65.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000892728 [ 0.35 %]\n", + "Velocity : 0.00228537 [ 0.90 %]\n", + "Force : 0.0529019 [ 20.95 %]\n", + "Coefs : 0.0228781 [ 9.06 %]\n", + "Output : 0.00433899 [ 1.72 %]\n", + "Levels : 0.000266188 [ 0.11 %]\n", + "Report : 6.15e-07 [ 0.00 %]\n", + "Balance : 3.85e-07 [ 0.00 %]\n", + "Adjust : 0.168817 [ 66.85 %]\n", + "Total : 0.252548 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6298 647 166 15 7 4 5 \n", + "1 : 6326 630 145 29 5 5 2 \n", + "2 : 6393 605 120 12 7 3 2 \n", + "3 : 6354 596 158 22 7 2 3 \n", + "4 : 6368 587 150 20 5 5 7 \n", + "5 : 6349 619 133 24 7 6 4 \n", + "6 : 6383 580 148 16 9 1 5 \n", + "7 : 6359 619 138 19 3 1 3 \n", + "8 : 6364 604 144 17 7 5 1 \n", + "9 : 6353 611 144 24 6 3 1 \n", + "10 : 6418 554 139 18 4 4 5 \n", + "11 : 6394 593 132 12 6 3 2 \n", + "12 : 6351 610 149 20 5 3 4 \n", + "13 : 6329 624 173 16 3 4 5 \n", + "\n", + "T : 89039 8479 2039 264 81 49 49 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 7.7186e-03 sec\n", + "--- Collate = 5.3441e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.837301e-06 < 1.562500e-03 [29]\n", + "--- Max DT=3.428440e-01 > 1.000000e-01 [70409]\n", + "----------------------------------------------------------------------\n", + " Component | low: 29/100000\n", + " Component | high: 70409/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=65.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000875614 [ 0.35 %]\n", + "Velocity : 0.00222642 [ 0.89 %]\n", + "Force : 0.0547195 [ 21.86 %]\n", + "Coefs : 0.0227319 [ 9.08 %]\n", + "Output : 0.00448739 [ 1.79 %]\n", + "Levels : 0.000269872 [ 0.11 %]\n", + "Report : 3.75e-07 [ 0.00 %]\n", + "Balance : 3.75e-07 [ 0.00 %]\n", + "Adjust : 0.164889 [ 65.86 %]\n", + "Total : 0.250364 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6294 647 171 17 5 3 5 \n", + "1 : 6322 633 150 25 8 3 1 \n", + "2 : 6385 609 120 18 6 2 2 \n", + "3 : 6355 596 157 22 7 3 2 \n", + "4 : 6365 588 150 20 7 4 8 \n", + "5 : 6346 618 139 21 7 4 7 \n", + "6 : 6385 580 142 21 6 3 5 \n", + "7 : 6355 624 137 17 5 1 3 \n", + "8 : 6362 606 144 20 4 2 4 \n", + "9 : 6358 609 138 28 3 6 0 \n", + "10 : 6411 560 139 20 4 5 3 \n", + "11 : 6391 592 135 13 5 2 4 \n", + "12 : 6354 606 150 19 6 3 4 \n", + "13 : 6328 620 178 13 9 0 6 \n", + "\n", + "T : 89011 8488 2050 274 82 41 54 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 8.0398e-03 sec\n", + "--- Collate = 5.9605e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.021261e-05 < 1.562500e-03 [31]\n", + "--- Max DT=3.432295e-01 > 1.000000e-01 [70380]\n", + "----------------------------------------------------------------------\n", + " Component | low: 31/100000\n", + " Component | high: 70380/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=65.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000884943 [ 0.35 %]\n", + "Velocity : 0.00244168 [ 0.97 %]\n", + "Force : 0.0517501 [ 20.59 %]\n", + "Coefs : 0.0261227 [ 10.39 %]\n", + "Output : 0.00458773 [ 1.83 %]\n", + "Levels : 0.000239489 [ 0.10 %]\n", + "Report : 4.04e-07 [ 0.00 %]\n", + "Balance : 3.44e-07 [ 0.00 %]\n", + "Adjust : 0.165125 [ 65.70 %]\n", + "Total : 0.251323 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6292 653 166 18 7 4 2 \n", + "1 : 6325 630 150 24 8 4 1 \n", + "2 : 6387 605 119 21 5 4 1 \n", + "3 : 6351 602 152 27 7 2 1 \n", + "4 : 6367 584 151 22 6 7 5 \n", + "5 : 6340 619 143 18 11 3 8 \n", + "6 : 6378 589 142 20 5 2 6 \n", + "7 : 6355 625 134 16 8 2 2 \n", + "8 : 6366 602 144 18 5 3 4 \n", + "9 : 6348 622 139 21 7 3 2 \n", + "10 : 6406 559 147 19 4 3 4 \n", + "11 : 6393 595 130 13 6 1 4 \n", + "12 : 6353 603 153 17 9 2 5 \n", + "13 : 6325 621 180 14 6 3 5 \n", + "\n", + "T : 88986 8509 2050 268 94 43 50 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 8.2199e-03 sec\n", + "--- Collate = 6.2818e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.961047e-05 < 1.562500e-03 [24]\n", + "--- Max DT=3.436075e-01 > 1.000000e-01 [70351]\n", + "----------------------------------------------------------------------\n", + " Component | low: 24/100000\n", + " Component | high: 70351/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=65.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00100335 [ 0.40 %]\n", + "Velocity : 0.00253423 [ 1.00 %]\n", + "Force : 0.0518772 [ 20.57 %]\n", + "Coefs : 0.0233571 [ 9.26 %]\n", + "Output : 0.00453438 [ 1.80 %]\n", + "Levels : 0.000281376 [ 0.11 %]\n", + "Report : 5.99e-07 [ 0.00 %]\n", + "Balance : 3.65e-07 [ 0.00 %]\n", + "Adjust : 0.168405 [ 66.78 %]\n", + "Total : 0.252185 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6285 663 163 17 5 7 2 \n", + "1 : 6325 635 149 17 12 3 1 \n", + "2 : 6372 622 120 17 4 3 4 \n", + "3 : 6345 608 150 29 7 2 1 \n", + "4 : 6361 585 158 21 5 6 6 \n", + "5 : 6332 624 148 18 7 5 8 \n", + "6 : 6378 592 138 21 6 4 3 \n", + "7 : 6353 622 139 15 8 4 1 \n", + "8 : 6359 606 144 22 5 0 6 \n", + "9 : 6350 613 147 21 6 0 5 \n", + "10 : 6406 555 152 19 6 2 2 \n", + "11 : 6395 590 133 14 5 2 3 \n", + "12 : 6346 607 155 21 6 4 3 \n", + "13 : 6332 613 182 14 4 7 2 \n", + "\n", + "T : 88939 8535 2078 266 86 49 47 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 9.3525e-03 sec\n", + "--- Collate = 7.1697e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.083092e-05 < 1.562500e-03 [25]\n", + "--- Max DT=3.439784e-01 > 1.000000e-01 [70316]\n", + "----------------------------------------------------------------------\n", + " Component | low: 25/100000\n", + " Component | high: 70316/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=65.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00101312 [ 0.36 %]\n", + "Velocity : 0.00278358 [ 1.00 %]\n", + "Force : 0.0578591 [ 20.80 %]\n", + "Coefs : 0.0252138 [ 9.06 %]\n", + "Output : 0.00501072 [ 1.80 %]\n", + "Levels : 0.000279393 [ 0.10 %]\n", + "Report : 6.41e-07 [ 0.00 %]\n", + "Balance : 3.74e-07 [ 0.00 %]\n", + "Adjust : 0.185853 [ 66.81 %]\n", + "Total : 0.278197 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6285 663 162 18 8 3 3 \n", + "1 : 6328 629 152 18 10 3 2 \n", + "2 : 6374 623 118 15 5 3 4 \n", + "3 : 6344 608 153 24 11 1 1 \n", + "4 : 6360 585 157 23 8 4 5 \n", + "5 : 6337 616 150 17 8 8 6 \n", + "6 : 6378 590 139 22 8 2 3 \n", + "7 : 6358 617 140 15 6 3 3 \n", + "8 : 6361 603 146 21 5 3 3 \n", + "9 : 6344 620 144 21 5 3 5 \n", + "10 : 6402 563 146 17 10 2 2 \n", + "11 : 6395 585 136 12 9 3 2 \n", + "12 : 6348 605 155 20 6 4 4 \n", + "13 : 6329 617 178 16 5 5 4 \n", + "\n", + "T : 88943 8524 2076 259 104 47 47 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 8.0691e-03 sec\n", + "--- Collate = 5.4037e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.931065e-05 < 1.562500e-03 [25]\n", + "--- Max DT=3.443424e-01 > 1.000000e-01 [70296]\n", + "----------------------------------------------------------------------\n", + " Component | low: 25/100000\n", + " Component | high: 70296/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=66] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00112715 [ 0.36 %]\n", + "Velocity : 0.0028204 [ 0.89 %]\n", + "Force : 0.0535157 [ 16.94 %]\n", + "Coefs : 0.0240701 [ 7.62 %]\n", + "Output : 0.0644763 [ 20.41 %]\n", + "Levels : 0.000243066 [ 0.08 %]\n", + "Report : 1.343e-06 [ 0.00 %]\n", + "Balance : 8.91e-07 [ 0.00 %]\n", + "Adjust : 0.169479 [ 53.64 %]\n", + "Total : 0.315927 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6279 672 160 19 8 1 3 \n", + "1 : 6319 633 159 18 6 4 3 \n", + "2 : 6368 633 115 14 4 3 5 \n", + "3 : 6330 616 161 24 10 0 1 \n", + "4 : 6353 593 158 21 5 5 7 \n", + "5 : 6331 621 152 17 9 3 9 \n", + "6 : 6379 580 149 22 8 3 1 \n", + "7 : 6348 629 137 17 5 2 4 \n", + "8 : 6359 600 151 20 5 4 3 \n", + "9 : 6343 623 140 21 5 5 5 \n", + "10 : 6397 565 149 18 7 5 1 \n", + "11 : 6388 592 135 16 6 3 2 \n", + "12 : 6347 611 148 18 12 3 3 \n", + "13 : 6335 610 176 18 7 3 5 \n", + "\n", + "T : 88876 8578 2090 263 97 44 52 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.6647e-03 sec\n", + "--- Collate = 6.2463e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.609660e-06 < 1.562500e-03 [26]\n", + "--- Max DT=3.447000e-01 > 1.000000e-01 [70271]\n", + "----------------------------------------------------------------------\n", + " Component | low: 26/100000\n", + " Component | high: 70271/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=66.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000343655 [ 0.14 %]\n", + "Velocity : 0.00217727 [ 0.91 %]\n", + "Force : 0.0518645 [ 21.68 %]\n", + "Coefs : 0.0230771 [ 9.65 %]\n", + "Output : 0.00224838 [ 0.94 %]\n", + "Levels : 0.00021655 [ 0.09 %]\n", + "Report : 9.13e-07 [ 0.00 %]\n", + "Balance : 4.69e-07 [ 0.00 %]\n", + "Adjust : 0.159148 [ 66.53 %]\n", + "Total : 0.239203 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6279 673 159 22 3 2 4 \n", + "1 : 6320 631 157 19 6 5 4 \n", + "2 : 6368 634 115 12 6 3 4 \n", + "3 : 6334 609 161 28 7 3 0 \n", + "4 : 6354 588 164 20 4 8 4 \n", + "5 : 6328 622 151 21 8 5 7 \n", + "6 : 6376 583 148 23 10 0 2 \n", + "7 : 6346 631 137 14 8 2 4 \n", + "8 : 6355 603 152 19 6 6 1 \n", + "9 : 6344 623 138 22 6 5 4 \n", + "10 : 6396 562 151 19 7 4 3 \n", + "11 : 6385 592 134 19 5 4 3 \n", + "12 : 6342 617 149 18 8 5 3 \n", + "13 : 6341 603 174 19 9 2 6 \n", + "\n", + "T : 88868 8571 2090 275 93 54 49 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.3284e-03 sec\n", + "--- Collate = 6.0083e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.146967e-05 < 1.562500e-03 [27]\n", + "--- Max DT=3.450506e-01 > 1.000000e-01 [70252]\n", + "----------------------------------------------------------------------\n", + " Component | low: 27/100000\n", + " Component | high: 70252/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=66.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000481919 [ 0.20 %]\n", + "Velocity : 0.00110149 [ 0.45 %]\n", + "Force : 0.0516714 [ 21.26 %]\n", + "Coefs : 0.0237195 [ 9.76 %]\n", + "Output : 0.00271279 [ 1.12 %]\n", + "Levels : 0.000215935 [ 0.09 %]\n", + "Report : 1.107e-06 [ 0.00 %]\n", + "Balance : 6.02e-07 [ 0.00 %]\n", + "Adjust : 0.162983 [ 67.06 %]\n", + "Total : 0.24304 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6282 671 158 17 6 4 4 \n", + "1 : 6321 627 155 20 8 4 7 \n", + "2 : 6373 629 112 14 7 4 3 \n", + "3 : 6328 616 158 28 8 3 1 \n", + "4 : 6349 591 168 18 6 5 5 \n", + "5 : 6327 625 149 22 7 6 6 \n", + "6 : 6378 586 140 22 13 2 1 \n", + "7 : 6344 630 138 17 6 5 2 \n", + "8 : 6354 600 153 20 10 1 4 \n", + "9 : 6340 626 139 23 7 2 5 \n", + "10 : 6395 562 156 18 3 1 7 \n", + "11 : 6379 601 134 16 4 5 3 \n", + "12 : 6337 620 145 27 3 4 6 \n", + "13 : 6340 606 171 21 7 6 3 \n", + "\n", + "T : 88847 8590 2076 283 95 52 57 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 8.5740e-03 sec\n", + "--- Collate = 6.3440e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.868795e-06 < 1.562500e-03 [29]\n", + "--- Max DT=3.453949e-01 > 1.000000e-01 [70215]\n", + "----------------------------------------------------------------------\n", + " Component | low: 29/100000\n", + " Component | high: 70215/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=66.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000435529 [ 0.18 %]\n", + "Velocity : 0.00125038 [ 0.52 %]\n", + "Force : 0.0491615 [ 20.58 %]\n", + "Coefs : 0.0238512 [ 9.99 %]\n", + "Output : 0.00238402 [ 1.00 %]\n", + "Levels : 0.000182326 [ 0.08 %]\n", + "Report : 1e-06 [ 0.00 %]\n", + "Balance : 5.22e-07 [ 0.00 %]\n", + "Adjust : 0.161434 [ 67.59 %]\n", + "Total : 0.238849 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6282 667 161 17 6 5 4 \n", + "1 : 6317 632 155 20 7 3 8 \n", + "2 : 6379 620 116 16 3 4 4 \n", + "3 : 6329 619 157 26 6 3 2 \n", + "4 : 6343 595 170 18 8 3 5 \n", + "5 : 6322 631 146 22 10 7 4 \n", + "6 : 6376 588 141 19 14 2 2 \n", + "7 : 6346 629 137 15 5 6 4 \n", + "8 : 6349 606 152 19 11 1 4 \n", + "9 : 6333 634 140 23 6 3 3 \n", + "10 : 6391 566 154 19 4 1 7 \n", + "11 : 6374 606 133 15 6 4 4 \n", + "12 : 6341 612 148 24 8 2 7 \n", + "13 : 6333 613 167 26 8 4 3 \n", + "\n", + "T : 88815 8618 2077 279 102 48 61 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.1379e-03 sec\n", + "--- Collate = 5.0204e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.225268e-06 < 1.562500e-03 [34]\n", + "--- Max DT=3.457319e-01 > 1.000000e-01 [70184]\n", + "----------------------------------------------------------------------\n", + " Component | low: 34/100000\n", + " Component | high: 70184/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=66.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000417427 [ 0.18 %]\n", + "Velocity : 0.00112286 [ 0.47 %]\n", + "Force : 0.0500715 [ 21.12 %]\n", + "Coefs : 0.0238821 [ 10.07 %]\n", + "Output : 0.00183033 [ 0.77 %]\n", + "Levels : 0.00018828 [ 0.08 %]\n", + "Report : 8.45e-07 [ 0.00 %]\n", + "Balance : 4e-07 [ 0.00 %]\n", + "Adjust : 0.159482 [ 67.26 %]\n", + "Total : 0.237126 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6276 667 165 18 8 4 4 \n", + "1 : 6316 632 155 19 8 6 6 \n", + "2 : 6379 618 118 16 6 1 4 \n", + "3 : 6322 625 158 24 8 2 3 \n", + "4 : 6340 600 168 18 8 3 5 \n", + "5 : 6319 633 149 24 7 6 4 \n", + "6 : 6374 590 142 21 9 3 3 \n", + "7 : 6341 634 137 16 4 5 5 \n", + "8 : 6342 614 152 19 7 4 4 \n", + "9 : 6338 628 138 23 8 5 2 \n", + "10 : 6391 564 153 22 2 5 5 \n", + "11 : 6378 599 134 16 7 3 5 \n", + "12 : 6345 604 151 23 10 5 4 \n", + "13 : 6335 614 166 23 9 4 3 \n", + "\n", + "T : 88796 8622 2086 282 101 56 57 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 8.6173e-03 sec\n", + "--- Collate = 7.1718e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.473972e-05 < 1.562500e-03 [27]\n", + "--- Max DT=3.460617e-01 > 1.000000e-01 [70176]\n", + "----------------------------------------------------------------------\n", + " Component | low: 27/100000\n", + " Component | high: 70176/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=66.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000360945 [ 0.15 %]\n", + "Velocity : 0.00108302 [ 0.46 %]\n", + "Force : 0.0492261 [ 21.01 %]\n", + "Coefs : 0.0239065 [ 10.21 %]\n", + "Output : 0.00192414 [ 0.82 %]\n", + "Levels : 0.000244451 [ 0.10 %]\n", + "Report : 8.4e-07 [ 0.00 %]\n", + "Balance : 3.76e-07 [ 0.00 %]\n", + "Adjust : 0.15737 [ 67.18 %]\n", + "Total : 0.234245 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6275 664 167 19 9 3 5 \n", + "1 : 6311 636 155 21 6 7 6 \n", + "2 : 6378 618 120 16 4 3 3 \n", + "3 : 6321 627 157 25 7 3 2 \n", + "4 : 6342 601 163 19 9 5 3 \n", + "5 : 6322 629 151 22 10 4 4 \n", + "6 : 6367 600 142 18 8 3 4 \n", + "7 : 6338 637 138 14 6 5 4 \n", + "8 : 6337 619 153 22 3 7 1 \n", + "9 : 6335 630 138 26 7 4 2 \n", + "10 : 6397 559 150 23 4 7 2 \n", + "11 : 6367 609 136 16 8 1 5 \n", + "12 : 6338 613 148 26 6 7 4 \n", + "13 : 6334 622 158 24 9 3 4 \n", + "\n", + "T : 88762 8664 2076 291 96 62 49 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 8.1096e-03 sec\n", + "--- Collate = 5.2278e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.240413e-06 < 1.562500e-03 [20]\n", + "--- Max DT=3.463846e-01 > 1.000000e-01 [70155]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 70155/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=66.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000408735 [ 0.17 %]\n", + "Velocity : 0.00157052 [ 0.67 %]\n", + "Force : 0.0505876 [ 21.47 %]\n", + "Coefs : 0.0235072 [ 9.97 %]\n", + "Output : 0.00216575 [ 0.92 %]\n", + "Levels : 0.000169506 [ 0.07 %]\n", + "Report : 8.19e-07 [ 0.00 %]\n", + "Balance : 5.38e-07 [ 0.00 %]\n", + "Adjust : 0.157114 [ 66.67 %]\n", + "Total : 0.235663 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6272 662 171 23 8 2 4 \n", + "1 : 6312 638 157 17 6 7 5 \n", + "2 : 6375 625 117 15 5 4 1 \n", + "3 : 6319 630 157 24 6 5 1 \n", + "4 : 6342 601 160 23 9 4 3 \n", + "5 : 6325 628 144 25 11 4 5 \n", + "6 : 6364 604 142 14 9 4 5 \n", + "7 : 6344 631 138 16 3 7 3 \n", + "8 : 6337 618 156 21 5 3 2 \n", + "9 : 6333 629 136 32 6 3 3 \n", + "10 : 6392 563 151 20 9 3 4 \n", + "11 : 6357 617 137 15 7 6 3 \n", + "12 : 6341 610 151 24 9 5 2 \n", + "13 : 6337 618 158 20 13 5 3 \n", + "\n", + "T : 88750 8674 2075 289 106 62 44 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 8.5846e-03 sec\n", + "--- Collate = 6.0067e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.143451e-04 < 1.562500e-03 [21]\n", + "--- Max DT=3.467013e-01 > 1.000000e-01 [70173]\n", + "----------------------------------------------------------------------\n", + " Component | low: 21/100000\n", + " Component | high: 70173/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=66.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000367382 [ 0.16 %]\n", + "Velocity : 0.00112933 [ 0.48 %]\n", + "Force : 0.0496683 [ 21.12 %]\n", + "Coefs : 0.0254866 [ 10.84 %]\n", + "Output : 0.00199865 [ 0.85 %]\n", + "Levels : 0.000193737 [ 0.08 %]\n", + "Report : 9.2e-07 [ 0.00 %]\n", + "Balance : 4.8e-07 [ 0.00 %]\n", + "Adjust : 0.156219 [ 66.42 %]\n", + "Total : 0.2352 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6267 667 169 25 5 7 2 \n", + "1 : 6311 633 163 18 7 3 7 \n", + "2 : 6374 619 125 17 2 5 0 \n", + "3 : 6320 625 160 24 7 3 3 \n", + "4 : 6337 605 161 21 11 4 3 \n", + "5 : 6323 632 143 21 12 7 4 \n", + "6 : 6368 603 140 14 8 5 4 \n", + "7 : 6340 634 135 20 8 4 1 \n", + "8 : 6336 616 160 18 8 2 2 \n", + "9 : 6327 638 132 36 3 2 4 \n", + "10 : 6391 561 157 17 8 4 4 \n", + "11 : 6354 617 139 16 9 6 1 \n", + "12 : 6341 609 149 25 12 3 3 \n", + "13 : 6338 619 153 23 10 8 3 \n", + "\n", + "T : 88727 8678 2086 295 110 63 41 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 8.1356e-03 sec\n", + "--- Collate = 5.3161e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.127744e-04 < 1.562500e-03 [27]\n", + "--- Max DT=3.470118e-01 > 1.000000e-01 [70159]\n", + "----------------------------------------------------------------------\n", + " Component | low: 27/100000\n", + " Component | high: 70159/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=66.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000460559 [ 0.19 %]\n", + "Velocity : 0.00120249 [ 0.51 %]\n", + "Force : 0.0502124 [ 21.17 %]\n", + "Coefs : 0.0241777 [ 10.19 %]\n", + "Output : 0.00201099 [ 0.85 %]\n", + "Levels : 0.000158289 [ 0.07 %]\n", + "Report : 8.45e-07 [ 0.00 %]\n", + "Balance : 3.68e-07 [ 0.00 %]\n", + "Adjust : 0.158868 [ 66.97 %]\n", + "Total : 0.237233 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6262 676 165 29 4 5 1 \n", + "1 : 6308 630 167 19 8 5 5 \n", + "2 : 6369 629 123 14 4 2 1 \n", + "3 : 6318 632 154 24 7 4 3 \n", + "4 : 6337 605 162 22 11 2 3 \n", + "5 : 6308 650 141 20 9 9 5 \n", + "6 : 6367 606 135 16 11 2 5 \n", + "7 : 6337 634 140 17 8 4 2 \n", + "8 : 6337 619 157 17 6 4 2 \n", + "9 : 6324 646 130 33 4 2 3 \n", + "10 : 6394 560 152 20 9 1 6 \n", + "11 : 6357 617 138 15 9 3 3 \n", + "12 : 6344 606 145 31 10 3 3 \n", + "13 : 6336 618 157 20 13 3 7 \n", + "\n", + "T : 88698 8728 2066 297 113 49 49 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.8%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 8.3958e-03 sec\n", + "--- Collate = 6.5991e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.419819e-05 < 1.562500e-03 [27]\n", + "--- Max DT=3.473165e-01 > 1.000000e-01 [70169]\n", + "----------------------------------------------------------------------\n", + " Component | low: 27/100000\n", + " Component | high: 70169/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=66.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00036081 [ 0.15 %]\n", + "Velocity : 0.00107336 [ 0.45 %]\n", + "Force : 0.0487355 [ 20.39 %]\n", + "Coefs : 0.0258018 [ 10.80 %]\n", + "Output : 0.00190598 [ 0.80 %]\n", + "Levels : 0.00019266 [ 0.08 %]\n", + "Report : 1.06e-06 [ 0.00 %]\n", + "Balance : 4.78e-07 [ 0.00 %]\n", + "Adjust : 0.160785 [ 67.27 %]\n", + "Total : 0.238998 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6266 673 163 27 8 3 2 \n", + "1 : 6309 631 166 20 4 8 4 \n", + "2 : 6376 616 132 10 5 0 3 \n", + "3 : 6312 633 160 26 3 3 5 \n", + "4 : 6334 607 162 24 9 4 2 \n", + "5 : 6299 652 147 20 9 8 7 \n", + "6 : 6369 601 139 16 9 6 2 \n", + "7 : 6336 633 139 22 6 4 2 \n", + "8 : 6331 622 158 17 5 5 4 \n", + "9 : 6322 641 133 37 5 3 1 \n", + "10 : 6392 561 153 20 7 6 3 \n", + "11 : 6354 620 139 13 10 2 4 \n", + "12 : 6332 614 151 33 4 4 4 \n", + "13 : 6335 616 160 21 11 3 8 \n", + "\n", + "T : 88667 8720 2102 306 95 59 51 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.1651e-03 sec\n", + "--- Collate = 4.6574e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.066164e-05 < 1.562500e-03 [27]\n", + "--- Max DT=3.476146e-01 > 1.000000e-01 [70152]\n", + "----------------------------------------------------------------------\n", + " Component | low: 27/100000\n", + " Component | high: 70152/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=67] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000408084 [ 0.16 %]\n", + "Velocity : 0.00112941 [ 0.43 %]\n", + "Force : 0.0497773 [ 19.06 %]\n", + "Coefs : 0.0240181 [ 9.19 %]\n", + "Output : 0.02795 [ 10.70 %]\n", + "Levels : 0.000187789 [ 0.07 %]\n", + "Report : 1.33e-06 [ 0.00 %]\n", + "Balance : 6.52e-07 [ 0.00 %]\n", + "Adjust : 0.157614 [ 60.34 %]\n", + "Total : 0.261218 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6262 680 159 32 4 2 3 \n", + "1 : 6311 633 160 20 8 5 5 \n", + "2 : 6370 622 130 13 4 0 3 \n", + "3 : 6312 630 163 25 4 4 4 \n", + "4 : 6330 610 166 22 7 6 1 \n", + "5 : 6298 649 146 24 14 4 7 \n", + "6 : 6372 601 137 16 9 4 3 \n", + "7 : 6331 635 145 21 2 6 2 \n", + "8 : 6326 632 151 18 4 7 4 \n", + "9 : 6322 639 138 33 8 2 0 \n", + "10 : 6394 558 153 23 6 4 4 \n", + "11 : 6354 623 135 16 7 3 4 \n", + "12 : 6330 616 150 33 7 1 5 \n", + "13 : 6334 618 161 18 11 4 8 \n", + "\n", + "T : 88646 8746 2094 314 95 52 53 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 7.8832e-03 sec\n", + "--- Collate = 4.9791e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.254862e-06 < 1.562500e-03 [24]\n", + "--- Max DT=3.479066e-01 > 1.000000e-01 [70114]\n", + "----------------------------------------------------------------------\n", + " Component | low: 24/100000\n", + " Component | high: 70114/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=67.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000529264 [ 0.21 %]\n", + "Velocity : 0.00233105 [ 0.93 %]\n", + "Force : 0.0510766 [ 20.34 %]\n", + "Coefs : 0.0245527 [ 9.78 %]\n", + "Output : 0.00457139 [ 1.82 %]\n", + "Levels : 0.000244225 [ 0.10 %]\n", + "Report : 7.09e-07 [ 0.00 %]\n", + "Balance : 4.18e-07 [ 0.00 %]\n", + "Adjust : 0.167635 [ 66.76 %]\n", + "Total : 0.251107 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6261 681 158 32 5 1 4 \n", + "1 : 6312 630 161 22 8 5 4 \n", + "2 : 6367 625 130 13 2 2 3 \n", + "3 : 6306 633 164 26 7 2 4 \n", + "4 : 6334 610 164 19 5 5 5 \n", + "5 : 6297 646 150 26 9 7 7 \n", + "6 : 6374 600 136 18 8 2 4 \n", + "7 : 6337 627 142 26 1 5 4 \n", + "8 : 6321 638 151 16 7 4 5 \n", + "9 : 6324 632 143 36 6 1 0 \n", + "10 : 6395 558 152 24 5 5 3 \n", + "11 : 6346 629 134 20 7 3 3 \n", + "12 : 6322 624 152 31 6 4 3 \n", + "13 : 6341 607 157 25 15 6 3 \n", + "\n", + "T : 88637 8740 2094 334 91 52 52 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.2580e-03 sec\n", + "--- Collate = 6.4371e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.245507e-05 < 1.562500e-03 [22]\n", + "--- Max DT=3.481916e-01 > 1.000000e-01 [70089]\n", + "----------------------------------------------------------------------\n", + " Component | low: 22/100000\n", + " Component | high: 70089/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=67.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000885396 [ 0.34 %]\n", + "Velocity : 0.0026133 [ 1.01 %]\n", + "Force : 0.052896 [ 20.35 %]\n", + "Coefs : 0.0242705 [ 9.34 %]\n", + "Output : 0.00487307 [ 1.87 %]\n", + "Levels : 0.000253309 [ 0.10 %]\n", + "Report : 6.73e-07 [ 0.00 %]\n", + "Balance : 3.86e-07 [ 0.00 %]\n", + "Adjust : 0.174003 [ 66.93 %]\n", + "Total : 0.259965 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6252 696 151 30 4 6 3 \n", + "1 : 6307 636 161 24 5 6 3 \n", + "2 : 6363 627 129 16 1 5 1 \n", + "3 : 6302 631 172 28 3 3 3 \n", + "4 : 6331 614 161 20 5 4 7 \n", + "5 : 6296 645 151 28 9 8 5 \n", + "6 : 6373 596 139 20 7 4 3 \n", + "7 : 6340 619 148 23 2 7 3 \n", + "8 : 6322 639 149 17 8 2 5 \n", + "9 : 6319 632 147 37 6 1 0 \n", + "10 : 6392 557 155 26 5 3 4 \n", + "11 : 6348 625 135 21 7 2 4 \n", + "12 : 6317 631 153 24 10 5 2 \n", + "13 : 6332 614 157 33 10 4 4 \n", + "\n", + "T : 88594 8762 2108 347 82 60 47 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 7.9492e-03 sec\n", + "--- Collate = 5.0123e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.812066e-05 < 1.562500e-03 [25]\n", + "--- Max DT=3.484706e-01 > 1.000000e-01 [70069]\n", + "----------------------------------------------------------------------\n", + " Component | low: 25/100000\n", + " Component | high: 70069/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=67.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00097196 [ 0.39 %]\n", + "Velocity : 0.00254713 [ 1.03 %]\n", + "Force : 0.0507369 [ 20.49 %]\n", + "Coefs : 0.0233835 [ 9.44 %]\n", + "Output : 0.0046084 [ 1.86 %]\n", + "Levels : 0.000277143 [ 0.11 %]\n", + "Report : 6.94e-07 [ 0.00 %]\n", + "Balance : 4.17e-07 [ 0.00 %]\n", + "Adjust : 0.164931 [ 66.61 %]\n", + "Total : 0.247622 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6253 693 155 29 4 3 5 \n", + "1 : 6302 642 159 24 7 7 1 \n", + "2 : 6359 627 134 16 0 4 2 \n", + "3 : 6304 631 169 28 5 3 2 \n", + "4 : 6331 607 168 17 7 5 7 \n", + "5 : 6295 647 155 27 7 5 6 \n", + "6 : 6376 589 142 22 7 3 3 \n", + "7 : 6345 611 153 21 4 4 4 \n", + "8 : 6321 636 149 19 11 3 3 \n", + "9 : 6318 631 146 34 10 2 1 \n", + "10 : 6392 549 165 23 7 2 4 \n", + "11 : 6345 625 141 22 1 3 5 \n", + "12 : 6301 649 154 22 8 5 3 \n", + "13 : 6331 609 167 29 9 5 4 \n", + "\n", + "T : 88573 8746 2157 333 87 54 50 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 7.9432e-03 sec\n", + "--- Collate = 7.3577e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.379609e-06 < 1.562500e-03 [31]\n", + "--- Max DT=3.487429e-01 > 1.000000e-01 [70069]\n", + "----------------------------------------------------------------------\n", + " Component | low: 31/100000\n", + " Component | high: 70069/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=67.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000891212 [ 0.35 %]\n", + "Velocity : 0.00231859 [ 0.91 %]\n", + "Force : 0.0527459 [ 20.79 %]\n", + "Coefs : 0.0235792 [ 9.30 %]\n", + "Output : 0.00481117 [ 1.90 %]\n", + "Levels : 0.000246774 [ 0.10 %]\n", + "Report : 6.62e-07 [ 0.00 %]\n", + "Balance : 4.3e-07 [ 0.00 %]\n", + "Adjust : 0.168892 [ 66.58 %]\n", + "Total : 0.253649 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6252 692 157 26 7 2 6 \n", + "1 : 6292 655 156 23 8 5 3 \n", + "2 : 6355 624 140 17 2 2 2 \n", + "3 : 6301 633 169 28 7 2 2 \n", + "4 : 6330 607 167 20 6 8 4 \n", + "5 : 6300 639 155 28 11 4 5 \n", + "6 : 6372 587 147 24 6 4 2 \n", + "7 : 6346 613 150 19 9 2 3 \n", + "8 : 6323 628 155 20 10 4 2 \n", + "9 : 6319 625 155 31 6 5 1 \n", + "10 : 6391 552 159 25 10 2 3 \n", + "11 : 6347 622 139 23 2 3 6 \n", + "12 : 6304 647 151 23 7 4 6 \n", + "13 : 6327 611 166 36 6 2 6 \n", + "\n", + "T : 88559 8735 2166 343 97 49 51 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 7.8707e-03 sec\n", + "--- Collate = 5.8333e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.280261e-06 < 1.562500e-03 [27]\n", + "--- Max DT=3.490085e-01 > 1.000000e-01 [70077]\n", + "----------------------------------------------------------------------\n", + " Component | low: 27/100000\n", + " Component | high: 70077/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=67.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00101434 [ 0.41 %]\n", + "Velocity : 0.00235946 [ 0.94 %]\n", + "Force : 0.0526518 [ 21.09 %]\n", + "Coefs : 0.0230816 [ 9.24 %]\n", + "Output : 0.00467129 [ 1.87 %]\n", + "Levels : 0.000249057 [ 0.10 %]\n", + "Report : 6.18e-07 [ 0.00 %]\n", + "Balance : 4.49e-07 [ 0.00 %]\n", + "Adjust : 0.165517 [ 66.28 %]\n", + "Total : 0.249705 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6255 684 160 29 3 6 5 \n", + "1 : 6296 647 158 25 8 3 5 \n", + "2 : 6354 628 134 18 3 2 3 \n", + "3 : 6301 632 170 27 7 3 2 \n", + "4 : 6330 602 171 22 7 7 3 \n", + "5 : 6300 630 161 35 8 4 4 \n", + "6 : 6372 583 150 28 3 2 4 \n", + "7 : 6347 612 152 18 7 2 4 \n", + "8 : 6322 635 146 24 9 5 1 \n", + "9 : 6309 638 153 29 5 4 4 \n", + "10 : 6390 553 156 27 9 5 2 \n", + "11 : 6339 625 145 19 5 3 6 \n", + "12 : 6301 652 148 26 4 5 6 \n", + "13 : 6323 617 168 26 10 2 8 \n", + "\n", + "T : 88539 8738 2172 353 88 53 57 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 8.2128e-03 sec\n", + "--- Collate = 7.2421e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.338978e-05 < 1.562500e-03 [24]\n", + "--- Max DT=3.492673e-01 > 1.000000e-01 [70051]\n", + "----------------------------------------------------------------------\n", + " Component | low: 24/100000\n", + " Component | high: 70051/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=67.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000946977 [ 0.38 %]\n", + "Velocity : 0.00239474 [ 0.95 %]\n", + "Force : 0.0527112 [ 20.95 %]\n", + "Coefs : 0.0231515 [ 9.20 %]\n", + "Output : 0.00472946 [ 1.88 %]\n", + "Levels : 0.000298403 [ 0.12 %]\n", + "Report : 6.78e-07 [ 0.00 %]\n", + "Balance : 3.99e-07 [ 0.00 %]\n", + "Adjust : 0.167168 [ 66.45 %]\n", + "Total : 0.251587 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6258 687 154 30 2 7 4 \n", + "1 : 6293 645 161 26 9 3 5 \n", + "2 : 6353 628 133 21 2 3 2 \n", + "3 : 6299 633 171 29 5 2 3 \n", + "4 : 6328 599 178 21 7 4 5 \n", + "5 : 6298 632 163 31 10 4 4 \n", + "6 : 6371 583 154 23 4 4 3 \n", + "7 : 6347 613 147 23 5 5 2 \n", + "8 : 6318 638 147 28 3 4 4 \n", + "9 : 6305 639 152 31 6 4 5 \n", + "10 : 6379 563 152 28 13 3 4 \n", + "11 : 6336 625 150 15 7 5 4 \n", + "12 : 6298 654 147 28 5 3 7 \n", + "13 : 6326 615 166 25 8 7 7 \n", + "\n", + "T : 88509 8754 2175 359 86 58 59 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 7.8852e-03 sec\n", + "--- Collate = 5.4083e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.094897e-05 < 1.562500e-03 [31]\n", + "--- Max DT=3.495195e-01 > 1.000000e-01 [70036]\n", + "----------------------------------------------------------------------\n", + " Component | low: 31/100000\n", + " Component | high: 70036/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=67.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000957729 [ 0.39 %]\n", + "Velocity : 0.00251395 [ 1.02 %]\n", + "Force : 0.0505499 [ 20.52 %]\n", + "Coefs : 0.0232061 [ 9.42 %]\n", + "Output : 0.00468013 [ 1.90 %]\n", + "Levels : 0.000241215 [ 0.10 %]\n", + "Report : 6.03e-07 [ 0.00 %]\n", + "Balance : 4.04e-07 [ 0.00 %]\n", + "Adjust : 0.16399 [ 66.58 %]\n", + "Total : 0.246307 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6265 679 157 25 8 3 5 \n", + "1 : 6284 652 164 29 6 3 4 \n", + "2 : 6352 627 136 20 4 1 2 \n", + "3 : 6298 631 174 28 6 3 2 \n", + "4 : 6324 604 177 23 5 5 4 \n", + "5 : 6302 627 165 31 10 3 4 \n", + "6 : 6361 595 150 22 8 4 2 \n", + "7 : 6346 611 148 26 4 3 4 \n", + "8 : 6318 639 146 25 6 0 8 \n", + "9 : 6304 643 148 30 7 4 6 \n", + "10 : 6376 565 153 25 15 4 4 \n", + "11 : 6338 621 150 17 8 5 3 \n", + "12 : 6296 657 147 25 6 6 5 \n", + "13 : 6328 613 161 28 9 8 7 \n", + "\n", + "T : 88492 8764 2176 354 102 52 60 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 7.8587e-03 sec\n", + "--- Collate = 5.3847e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.979374e-05 < 1.562500e-03 [28]\n", + "--- Max DT=3.497650e-01 > 1.000000e-01 [70052]\n", + "----------------------------------------------------------------------\n", + " Component | low: 28/100000\n", + " Component | high: 70052/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=67.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000937726 [ 0.38 %]\n", + "Velocity : 0.00228612 [ 0.93 %]\n", + "Force : 0.049865 [ 20.23 %]\n", + "Coefs : 0.0246393 [ 10.00 %]\n", + "Output : 0.00466449 [ 1.89 %]\n", + "Levels : 0.000235607 [ 0.10 %]\n", + "Report : 6.46e-07 [ 0.00 %]\n", + "Balance : 3.75e-07 [ 0.00 %]\n", + "Adjust : 0.163702 [ 66.41 %]\n", + "Total : 0.246501 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6273 667 162 25 8 3 4 \n", + "1 : 6279 656 165 28 9 2 3 \n", + "2 : 6350 630 134 21 4 2 1 \n", + "3 : 6297 628 174 29 11 1 2 \n", + "4 : 6332 595 176 25 6 4 4 \n", + "5 : 6302 624 170 27 9 7 3 \n", + "6 : 6369 588 152 22 3 7 1 \n", + "7 : 6343 615 146 26 6 2 4 \n", + "8 : 6313 643 142 28 6 3 7 \n", + "9 : 6304 637 148 36 7 4 6 \n", + "10 : 6376 569 153 23 12 4 5 \n", + "11 : 6334 627 148 17 8 4 4 \n", + "12 : 6298 652 146 28 9 3 6 \n", + "13 : 6326 613 159 29 12 5 10 \n", + "\n", + "T : 88496 8744 2175 364 110 51 60 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 7.8318e-03 sec\n", + "--- Collate = 5.3914e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.769654e-06 < 1.562500e-03 [28]\n", + "--- Max DT=3.500041e-01 > 1.000000e-01 [70036]\n", + "----------------------------------------------------------------------\n", + " Component | low: 28/100000\n", + " Component | high: 70036/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=67.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000867778 [ 0.36 %]\n", + "Velocity : 0.00226411 [ 0.94 %]\n", + "Force : 0.0503235 [ 20.80 %]\n", + "Coefs : 0.0224062 [ 9.26 %]\n", + "Output : 0.00452029 [ 1.87 %]\n", + "Levels : 0.000238653 [ 0.10 %]\n", + "Report : 6.03e-07 [ 0.00 %]\n", + "Balance : 3.7e-07 [ 0.00 %]\n", + "Adjust : 0.161107 [ 66.60 %]\n", + "Total : 0.241889 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6274 668 158 28 7 3 4 \n", + "1 : 6278 660 165 27 6 3 3 \n", + "2 : 6352 629 134 21 3 2 1 \n", + "3 : 6295 627 177 30 7 6 0 \n", + "4 : 6323 603 175 26 8 4 3 \n", + "5 : 6304 621 172 25 7 7 6 \n", + "6 : 6368 586 156 19 6 3 4 \n", + "7 : 6350 606 151 22 6 2 5 \n", + "8 : 6320 634 145 25 7 6 5 \n", + "9 : 6304 637 147 38 6 7 3 \n", + "10 : 6378 567 154 21 12 7 3 \n", + "11 : 6332 630 148 18 5 4 5 \n", + "12 : 6295 651 150 26 11 4 5 \n", + "13 : 6323 613 164 29 11 6 8 \n", + "\n", + "T : 88496 8732 2196 355 102 64 55 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 7.7634e-03 sec\n", + "--- Collate = 4.6284e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.986819e-05 < 1.562500e-03 [26]\n", + "--- Max DT=3.502374e-01 > 1.000000e-01 [70029]\n", + "----------------------------------------------------------------------\n", + " Component | low: 26/100000\n", + " Component | high: 70029/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=68] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000863979 [ 0.30 %]\n", + "Velocity : 0.00229571 [ 0.80 %]\n", + "Force : 0.0518701 [ 18.07 %]\n", + "Coefs : 0.0230126 [ 8.02 %]\n", + "Output : 0.0426952 [ 14.88 %]\n", + "Levels : 0.000312541 [ 0.11 %]\n", + "Report : 1.216e-06 [ 0.00 %]\n", + "Balance : 7.96e-07 [ 0.00 %]\n", + "Adjust : 0.165768 [ 57.76 %]\n", + "Total : 0.286988 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6273 666 161 27 7 6 2 \n", + "1 : 6279 656 166 30 4 5 2 \n", + "2 : 6347 632 134 23 4 1 1 \n", + "3 : 6294 627 179 29 7 2 4 \n", + "4 : 6320 606 171 31 5 5 4 \n", + "5 : 6308 619 167 27 9 3 9 \n", + "6 : 6361 597 150 15 13 2 4 \n", + "7 : 6354 603 151 20 6 5 3 \n", + "8 : 6314 640 147 22 7 8 4 \n", + "9 : 6304 632 153 35 13 1 4 \n", + "10 : 6373 568 158 21 10 7 5 \n", + "11 : 6324 641 141 24 2 2 8 \n", + "12 : 6295 658 146 23 10 6 4 \n", + "13 : 6319 610 168 30 13 8 6 \n", + "\n", + "T : 88465 8755 2192 357 110 61 60 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 7.9912e-03 sec\n", + "--- Collate = 5.0998e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.656843e-06 < 1.562500e-03 [37]\n", + "--- Max DT=3.504648e-01 > 1.000000e-01 [70009]\n", + "----------------------------------------------------------------------\n", + " Component | low: 37/100000\n", + " Component | high: 70009/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=68.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00086977 [ 0.35 %]\n", + "Velocity : 0.00247388 [ 0.99 %]\n", + "Force : 0.05217 [ 20.90 %]\n", + "Coefs : 0.023896 [ 9.57 %]\n", + "Output : 0.00458324 [ 1.84 %]\n", + "Levels : 0.000244298 [ 0.10 %]\n", + "Report : 5.52e-07 [ 0.00 %]\n", + "Balance : 3.57e-07 [ 0.00 %]\n", + "Adjust : 0.165266 [ 66.19 %]\n", + "Total : 0.249666 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6269 672 159 28 6 5 3 \n", + "1 : 6280 650 173 29 4 3 3 \n", + "2 : 6345 635 134 22 2 2 2 \n", + "3 : 6291 634 175 28 9 1 4 \n", + "4 : 6311 619 171 24 8 3 6 \n", + "5 : 6306 615 172 25 11 3 10 \n", + "6 : 6353 606 148 16 11 4 4 \n", + "7 : 6357 597 154 19 7 6 2 \n", + "8 : 6317 636 150 23 7 3 6 \n", + "9 : 6300 635 161 28 11 2 5 \n", + "10 : 6364 577 159 24 7 6 5 \n", + "11 : 6325 632 150 25 2 3 5 \n", + "12 : 6295 653 149 24 10 6 5 \n", + "13 : 6317 609 171 31 14 9 3 \n", + "\n", + "T : 88430 8770 2226 346 109 56 63 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 8.3544e-03 sec\n", + "--- Collate = 5.7108e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.959843e-05 < 1.562500e-03 [36]\n", + "--- Max DT=3.506862e-01 > 1.000000e-01 [70002]\n", + "----------------------------------------------------------------------\n", + " Component | low: 36/100000\n", + " Component | high: 70002/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=68.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000870305 [ 0.35 %]\n", + "Velocity : 0.00239811 [ 0.97 %]\n", + "Force : 0.0508567 [ 20.61 %]\n", + "Coefs : 0.0234016 [ 9.48 %]\n", + "Output : 0.00450006 [ 1.82 %]\n", + "Levels : 0.000238138 [ 0.10 %]\n", + "Report : 6.35e-07 [ 0.00 %]\n", + "Balance : 3.77e-07 [ 0.00 %]\n", + "Adjust : 0.164328 [ 66.60 %]\n", + "Total : 0.246752 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6258 681 165 23 7 3 5 \n", + "1 : 6285 644 171 31 6 1 4 \n", + "2 : 6346 623 145 20 3 4 1 \n", + "3 : 6295 630 178 27 5 2 5 \n", + "4 : 6308 627 167 23 7 4 6 \n", + "5 : 6307 617 172 22 12 7 5 \n", + "6 : 6352 606 147 20 8 7 2 \n", + "7 : 6355 598 155 20 6 5 3 \n", + "8 : 6312 639 153 24 5 2 7 \n", + "9 : 6298 635 162 28 11 3 5 \n", + "10 : 6362 573 160 28 8 4 7 \n", + "11 : 6327 632 148 24 4 3 4 \n", + "12 : 6296 647 154 25 9 2 9 \n", + "13 : 6319 597 180 32 16 5 5 \n", + "\n", + "T : 88420 8749 2257 347 107 52 68 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 7.7108e-03 sec\n", + "--- Collate = 4.9238e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.745791e-05 < 1.562500e-03 [26]\n", + "--- Max DT=3.509015e-01 > 1.000000e-01 [69986]\n", + "----------------------------------------------------------------------\n", + " Component | low: 26/100000\n", + " Component | high: 69986/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=68.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000963874 [ 0.40 %]\n", + "Velocity : 0.00244808 [ 1.01 %]\n", + "Force : 0.0506116 [ 20.89 %]\n", + "Coefs : 0.0227695 [ 9.40 %]\n", + "Output : 0.00438695 [ 1.81 %]\n", + "Levels : 0.000288022 [ 0.12 %]\n", + "Report : 5.74e-07 [ 0.00 %]\n", + "Balance : 2.92e-07 [ 0.00 %]\n", + "Adjust : 0.160691 [ 66.31 %]\n", + "Total : 0.24232 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6255 676 167 30 6 3 5 \n", + "1 : 6279 648 173 30 7 1 4 \n", + "2 : 6352 617 146 18 3 2 4 \n", + "3 : 6291 643 168 27 4 6 3 \n", + "4 : 6305 632 161 26 7 5 6 \n", + "5 : 6306 622 167 26 9 8 4 \n", + "6 : 6348 606 150 21 8 5 4 \n", + "7 : 6349 594 164 21 5 5 4 \n", + "8 : 6317 631 152 28 4 5 5 \n", + "9 : 6299 635 163 27 7 8 3 \n", + "10 : 6364 568 161 28 11 6 4 \n", + "11 : 6328 627 151 23 7 5 1 \n", + "12 : 6296 643 161 24 6 6 6 \n", + "13 : 6319 592 183 31 16 7 6 \n", + "\n", + "T : 88408 8734 2267 360 100 72 59 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.1135e-03 sec\n", + "--- Collate = 7.0525e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.749284e-06 < 1.562500e-03 [26]\n", + "--- Max DT=3.511105e-01 > 1.000000e-01 [70006]\n", + "----------------------------------------------------------------------\n", + " Component | low: 26/100000\n", + " Component | high: 70006/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=68.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000875542 [ 0.35 %]\n", + "Velocity : 0.00241179 [ 0.96 %]\n", + "Force : 0.0522334 [ 20.74 %]\n", + "Coefs : 0.025293 [ 10.04 %]\n", + "Output : 0.00438918 [ 1.74 %]\n", + "Levels : 0.000238455 [ 0.09 %]\n", + "Report : 4.87e-07 [ 0.00 %]\n", + "Balance : 3.19e-07 [ 0.00 %]\n", + "Adjust : 0.166265 [ 66.01 %]\n", + "Total : 0.251871 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6249 677 168 29 10 5 4 \n", + "1 : 6277 645 179 29 4 6 2 \n", + "2 : 6357 606 150 18 5 1 5 \n", + "3 : 6291 637 175 24 7 5 3 \n", + "4 : 6305 626 166 27 6 7 5 \n", + "5 : 6305 620 168 31 7 9 2 \n", + "6 : 6340 608 153 26 8 0 7 \n", + "7 : 6344 599 165 21 5 5 3 \n", + "8 : 6315 629 153 30 9 1 5 \n", + "9 : 6297 639 156 30 10 7 3 \n", + "10 : 6361 569 161 32 13 3 3 \n", + "11 : 6324 633 148 25 6 4 2 \n", + "12 : 6293 646 162 23 6 4 8 \n", + "13 : 6311 604 180 31 14 8 6 \n", + "\n", + "T : 88369 8738 2284 376 110 65 58 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 7.8645e-03 sec\n", + "--- Collate = 6.4166e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.057291e-05 < 1.562500e-03 [27]\n", + "--- Max DT=3.513131e-01 > 1.000000e-01 [69968]\n", + "----------------------------------------------------------------------\n", + " Component | low: 27/100000\n", + " Component | high: 69968/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=68.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000975906 [ 0.39 %]\n", + "Velocity : 0.00248995 [ 1.01 %]\n", + "Force : 0.0530755 [ 21.44 %]\n", + "Coefs : 0.0229615 [ 9.28 %]\n", + "Output : 0.00444172 [ 1.79 %]\n", + "Levels : 0.000231011 [ 0.09 %]\n", + "Report : 6.6e-07 [ 0.00 %]\n", + "Balance : 3.67e-07 [ 0.00 %]\n", + "Adjust : 0.163209 [ 65.93 %]\n", + "Total : 0.247562 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6242 676 179 24 13 5 3 \n", + "1 : 6275 646 180 31 2 6 2 \n", + "2 : 6361 598 154 18 4 2 5 \n", + "3 : 6282 642 178 25 7 1 7 \n", + "4 : 6305 630 163 26 7 6 5 \n", + "5 : 6306 614 175 30 9 2 6 \n", + "6 : 6333 619 148 27 7 1 7 \n", + "7 : 6336 607 162 21 8 4 4 \n", + "8 : 6313 633 154 26 9 5 2 \n", + "9 : 6303 632 156 31 10 4 6 \n", + "10 : 6349 580 162 33 11 5 2 \n", + "11 : 6317 635 155 23 6 2 4 \n", + "12 : 6298 637 168 21 8 6 4 \n", + "13 : 6307 611 175 33 12 8 8 \n", + "\n", + "T : 88327 8760 2309 369 113 57 65 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 8.1724e-03 sec\n", + "--- Collate = 5.4433e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.092116e-05 < 1.562500e-03 [37]\n", + "--- Max DT=3.515096e-01 > 1.000000e-01 [69958]\n", + "----------------------------------------------------------------------\n", + " Component | low: 37/100000\n", + " Component | high: 69958/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=68.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000869947 [ 0.33 %]\n", + "Velocity : 0.00252349 [ 0.96 %]\n", + "Force : 0.0545283 [ 20.70 %]\n", + "Coefs : 0.0241204 [ 9.16 %]\n", + "Output : 0.00478153 [ 1.82 %]\n", + "Levels : 0.000204344 [ 0.08 %]\n", + "Report : 4.25e-07 [ 0.00 %]\n", + "Balance : 3.69e-07 [ 0.00 %]\n", + "Adjust : 0.176175 [ 66.89 %]\n", + "Total : 0.263369 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6243 671 187 22 11 6 2 \n", + "1 : 6267 648 180 36 4 2 5 \n", + "2 : 6363 593 153 21 5 4 3 \n", + "3 : 6280 643 175 29 6 3 6 \n", + "4 : 6301 636 164 23 9 4 5 \n", + "5 : 6305 620 168 33 10 0 6 \n", + "6 : 6327 624 150 28 5 3 5 \n", + "7 : 6337 610 149 27 9 4 6 \n", + "8 : 6316 629 154 27 8 5 3 \n", + "9 : 6304 627 160 27 11 6 7 \n", + "10 : 6354 572 169 30 11 2 4 \n", + "11 : 6319 637 153 20 6 2 5 \n", + "12 : 6306 626 168 24 8 6 4 \n", + "13 : 6301 615 179 34 6 10 9 \n", + "\n", + "T : 88323 8751 2309 381 109 57 70 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 8.1428e-03 sec\n", + "--- Collate = 8.4934e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.999428e-05 < 1.562500e-03 [35]\n", + "--- Max DT=3.517000e-01 > 1.000000e-01 [69944]\n", + "----------------------------------------------------------------------\n", + " Component | low: 35/100000\n", + " Component | high: 69944/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=68.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00076741 [ 0.30 %]\n", + "Velocity : 0.00223647 [ 0.88 %]\n", + "Force : 0.0530463 [ 20.90 %]\n", + "Coefs : 0.0239019 [ 9.42 %]\n", + "Output : 0.00460091 [ 1.81 %]\n", + "Levels : 0.000273962 [ 0.11 %]\n", + "Report : 5.85e-07 [ 0.00 %]\n", + "Balance : 3.68e-07 [ 0.00 %]\n", + "Adjust : 0.168814 [ 66.51 %]\n", + "Total : 0.253811 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6245 666 187 24 12 3 5 \n", + "1 : 6263 650 183 35 4 2 5 \n", + "2 : 6363 591 155 22 6 4 1 \n", + "3 : 6277 645 174 31 4 4 7 \n", + "4 : 6298 639 162 25 11 2 5 \n", + "5 : 6297 626 166 39 8 1 5 \n", + "6 : 6324 628 147 30 6 4 3 \n", + "7 : 6336 611 151 24 7 7 6 \n", + "8 : 6315 626 160 25 9 2 5 \n", + "9 : 6299 627 163 30 9 3 11 \n", + "10 : 6349 577 173 29 7 2 5 \n", + "11 : 6323 636 150 21 5 3 4 \n", + "12 : 6310 618 170 27 11 3 3 \n", + "13 : 6294 619 183 35 6 7 10 \n", + "\n", + "T : 88293 8759 2324 397 105 47 75 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 8.1139e-03 sec\n", + "--- Collate = 5.5140e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.845863e-06 < 1.562500e-03 [36]\n", + "--- Max DT=3.518845e-01 > 1.000000e-01 [69901]\n", + "----------------------------------------------------------------------\n", + " Component | low: 36/100000\n", + " Component | high: 69901/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=68.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00096876 [ 0.38 %]\n", + "Velocity : 0.00262089 [ 1.03 %]\n", + "Force : 0.052068 [ 20.39 %]\n", + "Coefs : 0.0240934 [ 9.43 %]\n", + "Output : 0.00465207 [ 1.82 %]\n", + "Levels : 0.000261947 [ 0.10 %]\n", + "Report : 6.39e-07 [ 0.00 %]\n", + "Balance : 3.23e-07 [ 0.00 %]\n", + "Adjust : 0.170535 [ 66.78 %]\n", + "Total : 0.255366 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6252 657 188 28 9 3 5 \n", + "1 : 6265 650 176 38 5 1 7 \n", + "2 : 6360 585 161 27 5 3 1 \n", + "3 : 6277 640 184 24 8 6 3 \n", + "4 : 6291 642 167 27 9 2 4 \n", + "5 : 6293 633 169 29 9 7 2 \n", + "6 : 6318 629 148 31 9 5 2 \n", + "7 : 6335 615 147 26 6 5 8 \n", + "8 : 6310 625 164 28 5 5 5 \n", + "9 : 6292 635 162 30 10 5 8 \n", + "10 : 6347 572 181 27 6 3 6 \n", + "11 : 6315 643 154 17 3 7 3 \n", + "12 : 6310 614 178 21 11 3 5 \n", + "13 : 6293 622 187 28 8 5 11 \n", + "\n", + "T : 88258 8762 2366 381 103 60 70 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 8.1595e-03 sec\n", + "--- Collate = 5.3306e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.000294e-05 < 1.562500e-03 [30]\n", + "--- Max DT=3.521996e-01 > 1.000000e-01 [69878]\n", + "----------------------------------------------------------------------\n", + " Component | low: 30/100000\n", + " Component | high: 69878/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=68.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000972036 [ 0.39 %]\n", + "Velocity : 0.00259744 [ 1.03 %]\n", + "Force : 0.052621 [ 20.87 %]\n", + "Coefs : 0.0232057 [ 9.20 %]\n", + "Output : 0.00455074 [ 1.80 %]\n", + "Levels : 0.00023409 [ 0.09 %]\n", + "Report : 6.5e-07 [ 0.00 %]\n", + "Balance : 3.55e-07 [ 0.00 %]\n", + "Adjust : 0.167802 [ 66.55 %]\n", + "Total : 0.252147 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6248 664 189 25 8 1 7 \n", + "1 : 6268 645 178 35 6 7 3 \n", + "2 : 6356 589 163 24 9 1 0 \n", + "3 : 6275 643 177 31 8 2 6 \n", + "4 : 6283 648 168 30 6 6 1 \n", + "5 : 6291 630 172 30 11 7 1 \n", + "6 : 6306 637 149 33 11 3 3 \n", + "7 : 6339 604 153 23 9 9 5 \n", + "8 : 6311 625 158 30 7 7 4 \n", + "9 : 6288 635 166 31 10 3 9 \n", + "10 : 6342 577 178 26 7 7 5 \n", + "11 : 6308 644 159 17 6 4 4 \n", + "12 : 6303 617 179 25 8 6 4 \n", + "13 : 6283 633 184 28 11 6 9 \n", + "\n", + "T : 88201 8791 2373 388 117 69 61 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.1901e-03 sec\n", + "--- Collate = 5.4311e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.267182e-05 < 1.562500e-03 [26]\n", + "--- Max DT=3.527301e-01 > 1.000000e-01 [69860]\n", + "----------------------------------------------------------------------\n", + " Component | low: 26/100000\n", + " Component | high: 69860/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=69] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000958592 [ 0.33 %]\n", + "Velocity : 0.00262655 [ 0.89 %]\n", + "Force : 0.0533327 [ 18.15 %]\n", + "Coefs : 0.0235801 [ 8.02 %]\n", + "Output : 0.0445403 [ 15.16 %]\n", + "Levels : 0.000307581 [ 0.10 %]\n", + "Report : 1.075e-06 [ 0.00 %]\n", + "Balance : 8.6e-07 [ 0.00 %]\n", + "Adjust : 0.168385 [ 57.29 %]\n", + "Total : 0.293899 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6245 668 188 27 8 3 3 \n", + "1 : 6265 647 177 33 11 5 4 \n", + "2 : 6348 594 163 25 6 5 1 \n", + "3 : 6271 643 183 29 6 5 5 \n", + "4 : 6284 643 171 31 8 4 1 \n", + "5 : 6292 631 168 31 13 1 6 \n", + "6 : 6306 640 148 34 6 3 5 \n", + "7 : 6337 606 155 17 13 9 5 \n", + "8 : 6313 624 157 32 4 6 6 \n", + "9 : 6281 645 160 31 11 10 4 \n", + "10 : 6345 575 177 25 10 4 6 \n", + "11 : 6293 663 153 20 5 3 5 \n", + "12 : 6302 613 178 29 9 5 6 \n", + "13 : 6285 630 185 24 14 9 7 \n", + "\n", + "T : 88167 8822 2363 388 124 72 64 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.3%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 8.4461e-03 sec\n", + "--- Collate = 6.1138e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.265202e-05 < 1.562500e-03 [38]\n", + "--- Max DT=3.532530e-01 > 1.000000e-01 [69817]\n", + "----------------------------------------------------------------------\n", + " Component | low: 38/100000\n", + " Component | high: 69817/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=69.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000813528 [ 0.32 %]\n", + "Velocity : 0.00318596 [ 1.26 %]\n", + "Force : 0.0531345 [ 20.96 %]\n", + "Coefs : 0.0229945 [ 9.07 %]\n", + "Output : 0.00471593 [ 1.86 %]\n", + "Levels : 0.000306208 [ 0.12 %]\n", + "Report : 6.68e-07 [ 0.00 %]\n", + "Balance : 3.77e-07 [ 0.00 %]\n", + "Adjust : 0.168201 [ 66.34 %]\n", + "Total : 0.253534 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6243 670 190 30 2 5 2 \n", + "1 : 6264 647 179 33 11 3 5 \n", + "2 : 6344 600 160 26 4 4 4 \n", + "3 : 6263 647 189 29 4 5 5 \n", + "4 : 6274 658 166 28 11 3 2 \n", + "5 : 6293 630 167 37 4 3 8 \n", + "6 : 6306 638 153 30 6 4 5 \n", + "7 : 6341 604 150 20 13 8 6 \n", + "8 : 6311 627 158 27 8 3 8 \n", + "9 : 6284 644 153 33 15 7 6 \n", + "10 : 6346 576 173 29 5 9 4 \n", + "11 : 6290 667 150 23 4 3 5 \n", + "12 : 6301 611 181 29 8 7 5 \n", + "13 : 6274 638 187 25 13 11 6 \n", + "\n", + "T : 88134 8857 2356 399 108 75 71 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.3312e-03 sec\n", + "--- Collate = 6.0599e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.684043e-05 < 1.562500e-03 [47]\n", + "--- Max DT=3.537685e-01 > 1.000000e-01 [69846]\n", + "----------------------------------------------------------------------\n", + " Component | low: 47/100000\n", + " Component | high: 69846/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=69.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000991764 [ 0.39 %]\n", + "Velocity : 0.00263546 [ 1.03 %]\n", + "Force : 0.0525211 [ 20.52 %]\n", + "Coefs : 0.02402 [ 9.38 %]\n", + "Output : 0.00466909 [ 1.82 %]\n", + "Levels : 0.000243228 [ 0.10 %]\n", + "Report : 7.68e-07 [ 0.00 %]\n", + "Balance : 3.77e-07 [ 0.00 %]\n", + "Adjust : 0.170734 [ 66.69 %]\n", + "Total : 0.256001 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6244 668 195 23 6 3 3 \n", + "1 : 6263 642 181 37 8 5 6 \n", + "2 : 6342 594 165 29 4 1 7 \n", + "3 : 6267 645 184 28 7 4 7 \n", + "4 : 6270 653 177 28 9 3 2 \n", + "5 : 6288 634 168 34 8 2 8 \n", + "6 : 6307 635 158 25 7 5 5 \n", + "7 : 6334 610 151 22 13 6 6 \n", + "8 : 6308 625 163 28 7 3 8 \n", + "9 : 6286 640 153 38 13 7 5 \n", + "10 : 6346 574 176 27 5 8 6 \n", + "11 : 6287 674 147 22 2 8 2 \n", + "12 : 6293 627 176 27 8 6 5 \n", + "13 : 6275 631 191 28 15 6 8 \n", + "\n", + "T : 88110 8852 2385 396 112 67 78 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.0717e-03 sec\n", + "--- Collate = 5.2446e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.712958e-05 < 1.562500e-03 [43]\n", + "--- Max DT=3.542761e-01 > 1.000000e-01 [69812]\n", + "----------------------------------------------------------------------\n", + " Component | low: 43/100000\n", + " Component | high: 69812/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=69.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000977302 [ 0.38 %]\n", + "Velocity : 0.00251235 [ 0.99 %]\n", + "Force : 0.0522475 [ 20.54 %]\n", + "Coefs : 0.0231335 [ 9.09 %]\n", + "Output : 0.0046538 [ 1.83 %]\n", + "Levels : 0.000232608 [ 0.09 %]\n", + "Report : 3.66e-07 [ 0.00 %]\n", + "Balance : 3.95e-07 [ 0.00 %]\n", + "Adjust : 0.170497 [ 67.01 %]\n", + "Total : 0.254422 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6244 668 191 28 4 2 5 \n", + "1 : 6268 633 185 35 9 4 8 \n", + "2 : 6342 592 167 29 3 2 7 \n", + "3 : 6262 648 184 27 11 2 8 \n", + "4 : 6274 642 186 26 9 2 3 \n", + "5 : 6280 639 167 35 10 6 5 \n", + "6 : 6301 643 153 29 4 4 8 \n", + "7 : 6336 605 157 22 8 5 9 \n", + "8 : 6304 623 169 27 9 4 6 \n", + "9 : 6280 648 159 31 10 6 8 \n", + "10 : 6342 576 178 27 6 7 6 \n", + "11 : 6280 678 149 19 8 4 4 \n", + "12 : 6291 626 174 31 9 4 7 \n", + "13 : 6273 630 194 30 11 6 10 \n", + "\n", + "T : 88077 8851 2413 396 111 58 94 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 8.1526e-03 sec\n", + "--- Collate = 5.8150e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.431511e-07 < 1.562500e-03 [48]\n", + "--- Max DT=3.547761e-01 > 1.000000e-01 [69809]\n", + "----------------------------------------------------------------------\n", + " Component | low: 48/100000\n", + " Component | high: 69809/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=69.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000888291 [ 0.36 %]\n", + "Velocity : 0.00250515 [ 1.02 %]\n", + "Force : 0.0507362 [ 20.57 %]\n", + "Coefs : 0.0239796 [ 9.72 %]\n", + "Output : 0.00448866 [ 1.82 %]\n", + "Levels : 0.000279837 [ 0.11 %]\n", + "Report : 5.91e-07 [ 0.00 %]\n", + "Balance : 3.46e-07 [ 0.00 %]\n", + "Adjust : 0.16358 [ 66.33 %]\n", + "Total : 0.246612 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6236 681 182 31 5 2 5 \n", + "1 : 6269 638 181 32 9 6 7 \n", + "2 : 6342 592 164 31 4 7 2 \n", + "3 : 6256 652 183 29 10 5 7 \n", + "4 : 6270 643 190 26 8 1 4 \n", + "5 : 6282 635 174 29 12 7 3 \n", + "6 : 6294 649 156 26 7 5 5 \n", + "7 : 6330 608 158 26 6 7 7 \n", + "8 : 6298 630 168 27 9 7 3 \n", + "9 : 6278 650 157 33 10 7 7 \n", + "10 : 6342 579 172 30 7 4 8 \n", + "11 : 6280 683 146 21 3 4 5 \n", + "12 : 6293 621 174 31 10 8 5 \n", + "13 : 6272 633 190 34 6 11 8 \n", + "\n", + "T : 88042 8894 2395 406 106 81 76 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 7.8446e-03 sec\n", + "--- Collate = 5.0948e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.831815e-05 < 1.562500e-03 [37]\n", + "--- Max DT=3.552691e-01 > 1.000000e-01 [69810]\n", + "----------------------------------------------------------------------\n", + " Component | low: 37/100000\n", + " Component | high: 69810/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=69.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000915418 [ 0.37 %]\n", + "Velocity : 0.00264304 [ 1.06 %]\n", + "Force : 0.0527858 [ 21.12 %]\n", + "Coefs : 0.023661 [ 9.47 %]\n", + "Output : 0.00446827 [ 1.79 %]\n", + "Levels : 0.000235283 [ 0.09 %]\n", + "Report : 5.63e-07 [ 0.00 %]\n", + "Balance : 3.59e-07 [ 0.00 %]\n", + "Adjust : 0.165067 [ 66.04 %]\n", + "Total : 0.249933 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6246 675 179 30 4 3 5 \n", + "1 : 6268 645 171 38 8 4 8 \n", + "2 : 6337 592 169 31 9 4 0 \n", + "3 : 6243 661 189 26 11 8 4 \n", + "4 : 6264 647 192 27 7 1 4 \n", + "5 : 6278 637 173 31 9 11 3 \n", + "6 : 6302 640 157 22 13 2 6 \n", + "7 : 6323 612 163 25 4 5 10 \n", + "8 : 6296 632 172 22 11 6 3 \n", + "9 : 6274 652 160 29 12 7 8 \n", + "10 : 6346 580 166 30 7 9 4 \n", + "11 : 6282 681 142 21 4 4 8 \n", + "12 : 6296 627 162 36 6 10 5 \n", + "13 : 6274 624 200 31 8 7 10 \n", + "\n", + "T : 88029 8905 2395 399 113 81 78 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 8.0351e-03 sec\n", + "--- Collate = 5.0324e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.545087e-06 < 1.562500e-03 [36]\n", + "--- Max DT=3.557549e-01 > 1.000000e-01 [69783]\n", + "----------------------------------------------------------------------\n", + " Component | low: 36/100000\n", + " Component | high: 69783/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=69.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000865412 [ 0.35 %]\n", + "Velocity : 0.00237534 [ 0.97 %]\n", + "Force : 0.0512654 [ 20.92 %]\n", + "Coefs : 0.0232312 [ 9.48 %]\n", + "Output : 0.00453685 [ 1.85 %]\n", + "Levels : 0.000221682 [ 0.09 %]\n", + "Report : 3.86e-07 [ 0.00 %]\n", + "Balance : 3.57e-07 [ 0.00 %]\n", + "Adjust : 0.162357 [ 66.26 %]\n", + "Total : 0.245012 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6242 673 180 32 8 5 2 \n", + "1 : 6265 642 178 33 14 5 5 \n", + "2 : 6335 592 168 33 11 2 1 \n", + "3 : 6247 656 191 28 8 7 5 \n", + "4 : 6263 648 193 27 4 4 3 \n", + "5 : 6277 637 173 32 10 8 5 \n", + "6 : 6300 637 162 22 11 7 3 \n", + "7 : 6319 615 162 27 9 2 8 \n", + "8 : 6297 629 175 22 10 4 5 \n", + "9 : 6281 634 172 30 10 7 8 \n", + "10 : 6342 585 168 27 8 7 5 \n", + "11 : 6281 684 140 18 7 4 8 \n", + "12 : 6298 627 161 34 11 5 6 \n", + "13 : 6276 618 200 35 14 4 7 \n", + "\n", + "T : 88023 8877 2423 400 135 71 71 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.3709e-03 sec\n", + "--- Collate = 5.8819e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.093929e-06 < 1.562500e-03 [40]\n", + "--- Max DT=3.562337e-01 > 1.000000e-01 [69770]\n", + "----------------------------------------------------------------------\n", + " Component | low: 40/100000\n", + " Component | high: 69770/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=69.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000733944 [ 0.29 %]\n", + "Velocity : 0.00244874 [ 0.95 %]\n", + "Force : 0.0533795 [ 20.78 %]\n", + "Coefs : 0.0237667 [ 9.25 %]\n", + "Output : 0.00469062 [ 1.83 %]\n", + "Levels : 0.000243035 [ 0.09 %]\n", + "Report : 6.32e-07 [ 0.00 %]\n", + "Balance : 3.62e-07 [ 0.00 %]\n", + "Adjust : 0.171391 [ 66.74 %]\n", + "Total : 0.256822 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6249 666 178 33 11 2 3 \n", + "1 : 6260 648 179 34 10 7 4 \n", + "2 : 6329 593 172 33 12 0 3 \n", + "3 : 6243 661 188 27 12 5 6 \n", + "4 : 6267 643 191 29 3 7 2 \n", + "5 : 6274 641 172 34 7 5 9 \n", + "6 : 6298 638 159 27 10 5 5 \n", + "7 : 6313 623 161 24 10 3 8 \n", + "8 : 6289 638 175 22 9 2 7 \n", + "9 : 6276 644 169 28 12 5 8 \n", + "10 : 6338 590 166 22 13 7 6 \n", + "11 : 6278 679 150 19 3 6 7 \n", + "12 : 6299 628 157 35 11 6 6 \n", + "13 : 6273 618 201 37 13 7 5 \n", + "\n", + "T : 87986 8910 2418 404 136 67 79 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.0248e-03 sec\n", + "--- Collate = 1.0438e-04 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.027340e-06 < 1.562500e-03 [32]\n", + "--- Max DT=3.567049e-01 > 1.000000e-01 [69748]\n", + "----------------------------------------------------------------------\n", + " Component | low: 32/100000\n", + " Component | high: 69748/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=69.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00102653 [ 0.40 %]\n", + "Velocity : 0.00259523 [ 1.01 %]\n", + "Force : 0.0527443 [ 20.55 %]\n", + "Coefs : 0.0239254 [ 9.32 %]\n", + "Output : 0.00464648 [ 1.81 %]\n", + "Levels : 0.000272171 [ 0.11 %]\n", + "Report : 6.14e-07 [ 0.00 %]\n", + "Balance : 3.61e-07 [ 0.00 %]\n", + "Adjust : 0.171279 [ 66.73 %]\n", + "Total : 0.256676 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6248 666 182 31 9 5 1 \n", + "1 : 6247 661 177 37 8 7 5 \n", + "2 : 6329 586 181 31 10 2 3 \n", + "3 : 6244 659 185 33 9 5 7 \n", + "4 : 6271 640 189 28 9 3 2 \n", + "5 : 6280 633 176 31 9 3 10 \n", + "6 : 6294 639 161 26 11 7 4 \n", + "7 : 6314 616 167 25 7 9 4 \n", + "8 : 6292 631 179 23 8 1 8 \n", + "9 : 6280 643 167 29 10 8 5 \n", + "10 : 6339 594 163 21 8 9 8 \n", + "11 : 6281 672 157 15 5 6 6 \n", + "12 : 6298 630 157 37 6 12 2 \n", + "13 : 6283 603 207 37 13 6 5 \n", + "\n", + "T : 88000 8873 2448 404 122 83 70 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 7.7545e-03 sec\n", + "--- Collate = 5.5824e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.838048e-05 < 1.562500e-03 [27]\n", + "--- Max DT=3.571685e-01 > 1.000000e-01 [69759]\n", + "----------------------------------------------------------------------\n", + " Component | low: 27/100000\n", + " Component | high: 69759/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=69.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000897924 [ 0.35 %]\n", + "Velocity : 0.00244633 [ 0.96 %]\n", + "Force : 0.052556 [ 20.69 %]\n", + "Coefs : 0.023124 [ 9.10 %]\n", + "Output : 0.00459118 [ 1.81 %]\n", + "Levels : 0.000262007 [ 0.10 %]\n", + "Report : 3.76e-07 [ 0.00 %]\n", + "Balance : 3.29e-07 [ 0.00 %]\n", + "Adjust : 0.170032 [ 66.92 %]\n", + "Total : 0.254071 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6249 663 184 30 12 1 3 \n", + "1 : 6237 673 176 33 13 2 8 \n", + "2 : 6332 582 182 31 7 3 5 \n", + "3 : 6243 656 185 34 12 7 5 \n", + "4 : 6263 649 190 28 7 1 4 \n", + "5 : 6285 626 178 34 5 4 10 \n", + "6 : 6289 636 168 33 5 6 5 \n", + "7 : 6309 621 165 25 13 4 5 \n", + "8 : 6288 630 185 22 5 6 6 \n", + "9 : 6276 647 165 30 13 6 5 \n", + "10 : 6336 595 163 22 5 13 8 \n", + "11 : 6278 676 156 16 3 7 6 \n", + "12 : 6291 636 156 38 11 5 5 \n", + "13 : 6288 596 212 40 9 5 4 \n", + "\n", + "T : 87964 8886 2465 416 120 70 79 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 7.6378e-03 sec\n", + "--- Collate = 4.6900e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.155293e-05 < 1.562500e-03 [44]\n", + "--- Max DT=3.576244e-01 > 1.000000e-01 [69789]\n", + "----------------------------------------------------------------------\n", + " Component | low: 44/100000\n", + " Component | high: 69789/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=70] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00101499 [ 0.35 %]\n", + "Velocity : 0.00257178 [ 0.89 %]\n", + "Force : 0.0524436 [ 18.16 %]\n", + "Coefs : 0.0227543 [ 7.88 %]\n", + "Output : 0.0428317 [ 14.83 %]\n", + "Levels : 0.000240394 [ 0.08 %]\n", + "Report : 1.186e-06 [ 0.00 %]\n", + "Balance : 8.15e-07 [ 0.00 %]\n", + "Adjust : 0.166727 [ 57.74 %]\n", + "Total : 0.288744 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6249 662 185 31 7 4 4 \n", + "1 : 6239 672 175 30 15 3 8 \n", + "2 : 6326 585 187 29 7 5 3 \n", + "3 : 6248 653 185 35 10 3 8 \n", + "4 : 6261 649 191 27 9 2 3 \n", + "5 : 6290 623 173 39 4 8 5 \n", + "6 : 6293 630 165 38 5 6 5 \n", + "7 : 6304 626 168 26 8 7 3 \n", + "8 : 6280 635 192 17 8 3 7 \n", + "9 : 6283 642 169 24 14 4 6 \n", + "10 : 6335 596 165 19 11 5 11 \n", + "11 : 6279 673 156 17 4 8 5 \n", + "12 : 6296 630 163 35 7 6 5 \n", + "13 : 6282 595 216 38 13 6 4 \n", + "\n", + "T : 87965 8871 2490 405 122 70 77 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 8.4279e-03 sec\n", + "--- Collate = 5.7222e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.349554e-05 < 1.562500e-03 [47]\n", + "--- Max DT=3.580724e-01 > 1.000000e-01 [69790]\n", + "----------------------------------------------------------------------\n", + " Component | low: 47/100000\n", + " Component | high: 69790/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=70.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000932362 [ 0.37 %]\n", + "Velocity : 0.00243851 [ 0.96 %]\n", + "Force : 0.0527539 [ 20.71 %]\n", + "Coefs : 0.0251291 [ 9.87 %]\n", + "Output : 0.00469548 [ 1.84 %]\n", + "Levels : 0.000251686 [ 0.10 %]\n", + "Report : 7.49e-07 [ 0.00 %]\n", + "Balance : 3.74e-07 [ 0.00 %]\n", + "Adjust : 0.168311 [ 66.09 %]\n", + "Total : 0.254682 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6248 665 182 32 7 3 5 \n", + "1 : 6241 671 173 36 8 6 7 \n", + "2 : 6330 582 182 32 6 3 7 \n", + "3 : 6247 651 187 36 9 4 8 \n", + "4 : 6263 646 192 24 10 2 5 \n", + "5 : 6291 617 182 34 8 5 5 \n", + "6 : 6291 633 159 40 9 3 7 \n", + "7 : 6298 632 167 26 11 3 5 \n", + "8 : 6280 636 193 20 3 2 8 \n", + "9 : 6284 645 163 26 15 2 7 \n", + "10 : 6336 595 166 19 9 6 11 \n", + "11 : 6284 663 161 17 7 5 5 \n", + "12 : 6295 629 164 30 13 5 6 \n", + "13 : 6281 594 219 38 10 7 5 \n", + "\n", + "T : 87969 8859 2490 410 125 56 91 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.7054e-03 sec\n", + "--- Collate = 5.5712e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.453976e-07 < 1.562500e-03 [41]\n", + "--- Max DT=3.585127e-01 > 1.000000e-01 [69776]\n", + "----------------------------------------------------------------------\n", + " Component | low: 41/100000\n", + " Component | high: 69776/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=70.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00101059 [ 0.39 %]\n", + "Velocity : 0.00261775 [ 1.01 %]\n", + "Force : 0.0557144 [ 21.53 %]\n", + "Coefs : 0.0250488 [ 9.68 %]\n", + "Output : 0.00465929 [ 1.80 %]\n", + "Levels : 0.000296857 [ 0.11 %]\n", + "Report : 9.07e-07 [ 0.00 %]\n", + "Balance : 3.69e-07 [ 0.00 %]\n", + "Adjust : 0.169304 [ 65.42 %]\n", + "Total : 0.258814 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6246 663 185 34 6 3 5 \n", + "1 : 6248 659 178 36 7 9 5 \n", + "2 : 6326 586 184 29 6 6 5 \n", + "3 : 6252 649 184 33 10 6 8 \n", + "4 : 6264 644 191 26 10 3 4 \n", + "5 : 6291 612 188 30 13 5 3 \n", + "6 : 6289 632 166 32 12 6 5 \n", + "7 : 6301 630 163 28 11 6 3 \n", + "8 : 6276 643 186 23 5 4 5 \n", + "9 : 6283 648 161 29 13 4 4 \n", + "10 : 6335 598 160 19 15 6 9 \n", + "11 : 6282 670 152 22 7 4 5 \n", + "12 : 6284 643 163 24 17 7 4 \n", + "13 : 6277 594 224 38 11 5 5 \n", + "\n", + "T : 87954 8871 2485 403 143 74 70 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 7.9082e-03 sec\n", + "--- Collate = 4.9135e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.986529e-05 < 1.562500e-03 [25]\n", + "--- Max DT=3.589455e-01 > 1.000000e-01 [69765]\n", + "----------------------------------------------------------------------\n", + " Component | low: 25/100000\n", + " Component | high: 69765/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=70.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00102018 [ 0.40 %]\n", + "Velocity : 0.00247388 [ 0.97 %]\n", + "Force : 0.053871 [ 21.20 %]\n", + "Coefs : 0.0242969 [ 9.56 %]\n", + "Output : 0.00475398 [ 1.87 %]\n", + "Levels : 0.000246515 [ 0.10 %]\n", + "Report : 6.62e-07 [ 0.00 %]\n", + "Balance : 3.58e-07 [ 0.00 %]\n", + "Adjust : 0.1673 [ 65.83 %]\n", + "Total : 0.254124 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6248 660 181 37 8 3 5 \n", + "1 : 6242 662 180 35 12 5 6 \n", + "2 : 6322 589 182 27 11 3 8 \n", + "3 : 6255 650 181 29 13 9 5 \n", + "4 : 6255 658 187 25 11 2 4 \n", + "5 : 6287 620 189 27 13 3 3 \n", + "6 : 6286 629 169 31 13 9 5 \n", + "7 : 6306 627 159 32 8 6 4 \n", + "8 : 6277 637 192 22 5 6 3 \n", + "9 : 6289 639 161 36 11 4 2 \n", + "10 : 6333 601 161 22 9 11 5 \n", + "11 : 6283 667 155 22 7 3 5 \n", + "12 : 6278 645 166 25 15 9 4 \n", + "13 : 6277 595 223 37 14 3 5 \n", + "\n", + "T : 87938 8879 2486 407 150 76 64 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.2709e-03 sec\n", + "--- Collate = 6.9114e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.531376e-06 < 1.562500e-03 [27]\n", + "--- Max DT=3.593706e-01 > 1.000000e-01 [69752]\n", + "----------------------------------------------------------------------\n", + " Component | low: 27/100000\n", + " Component | high: 69752/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=70.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000882676 [ 0.34 %]\n", + "Velocity : 0.00247398 [ 0.96 %]\n", + "Force : 0.0530715 [ 20.61 %]\n", + "Coefs : 0.0244816 [ 9.51 %]\n", + "Output : 0.00480745 [ 1.87 %]\n", + "Levels : 0.000244718 [ 0.10 %]\n", + "Report : 6.81e-07 [ 0.00 %]\n", + "Balance : 3.6e-07 [ 0.00 %]\n", + "Adjust : 0.171399 [ 66.56 %]\n", + "Total : 0.257519 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6254 662 175 36 6 2 7 \n", + "1 : 6240 665 175 41 11 5 5 \n", + "2 : 6315 594 182 29 13 5 4 \n", + "3 : 6260 647 181 29 14 5 6 \n", + "4 : 6252 660 189 27 5 7 2 \n", + "5 : 6282 622 189 29 14 3 3 \n", + "6 : 6285 629 170 31 11 9 7 \n", + "7 : 6303 630 155 38 8 3 5 \n", + "8 : 6278 635 194 21 7 3 4 \n", + "9 : 6288 637 168 30 13 4 2 \n", + "10 : 6333 599 163 25 13 6 3 \n", + "11 : 6275 674 154 27 4 5 3 \n", + "12 : 6275 650 160 29 14 8 6 \n", + "13 : 6260 610 227 32 15 7 3 \n", + "\n", + "T : 87900 8914 2482 424 148 72 60 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 7.9451e-03 sec\n", + "--- Collate = 5.5295e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.402018e-05 < 1.562500e-03 [38]\n", + "--- Max DT=3.597892e-01 > 1.000000e-01 [69740]\n", + "----------------------------------------------------------------------\n", + " Component | low: 38/100000\n", + " Component | high: 69740/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=70.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00103756 [ 0.41 %]\n", + "Velocity : 0.00266636 [ 1.06 %]\n", + "Force : 0.0536685 [ 21.29 %]\n", + "Coefs : 0.0243547 [ 9.66 %]\n", + "Output : 0.00439308 [ 1.74 %]\n", + "Levels : 0.000285343 [ 0.11 %]\n", + "Report : 6.11e-07 [ 0.00 %]\n", + "Balance : 3.81e-07 [ 0.00 %]\n", + "Adjust : 0.165489 [ 65.66 %]\n", + "Total : 0.252054 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6252 663 175 34 10 3 5 \n", + "1 : 6240 665 177 38 12 6 4 \n", + "2 : 6316 594 180 34 9 4 5 \n", + "3 : 6263 647 181 28 14 4 5 \n", + "4 : 6250 661 185 29 6 7 4 \n", + "5 : 6274 631 189 26 13 6 3 \n", + "6 : 6296 620 164 32 15 6 9 \n", + "7 : 6306 622 163 37 8 1 5 \n", + "8 : 6273 640 190 24 9 2 4 \n", + "9 : 6282 637 170 38 9 1 5 \n", + "10 : 6337 591 163 29 13 5 4 \n", + "11 : 6281 667 154 27 5 4 4 \n", + "12 : 6283 640 161 32 13 5 8 \n", + "13 : 6256 617 228 27 15 8 3 \n", + "\n", + "T : 87909 8895 2480 435 151 62 68 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.0668e-03 sec\n", + "--- Collate = 5.1833e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.549415e-05 < 1.562500e-03 [46]\n", + "--- Max DT=3.602012e-01 > 1.000000e-01 [69752]\n", + "----------------------------------------------------------------------\n", + " Component | low: 46/100000\n", + " Component | high: 69752/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=70.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000987693 [ 0.39 %]\n", + "Velocity : 0.00265548 [ 1.06 %]\n", + "Force : 0.0525037 [ 20.96 %]\n", + "Coefs : 0.0236554 [ 9.44 %]\n", + "Output : 0.00451449 [ 1.80 %]\n", + "Levels : 0.000227969 [ 0.09 %]\n", + "Report : 5.65e-07 [ 0.00 %]\n", + "Balance : 3.55e-07 [ 0.00 %]\n", + "Adjust : 0.165749 [ 66.18 %]\n", + "Total : 0.250459 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6250 660 182 30 11 3 6 \n", + "1 : 6237 668 175 39 10 10 3 \n", + "2 : 6310 600 177 37 8 7 3 \n", + "3 : 6263 655 174 27 11 4 8 \n", + "4 : 6236 673 181 34 7 6 5 \n", + "5 : 6267 644 186 21 10 6 8 \n", + "6 : 6291 625 166 33 10 6 11 \n", + "7 : 6307 618 166 37 7 3 4 \n", + "8 : 6276 637 191 22 9 2 5 \n", + "9 : 6286 633 173 36 7 2 5 \n", + "10 : 6338 590 167 28 9 3 7 \n", + "11 : 6281 666 156 28 3 3 5 \n", + "12 : 6282 641 161 37 8 3 10 \n", + "13 : 6258 618 222 28 15 7 6 \n", + "\n", + "T : 87882 8928 2477 437 125 65 86 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 7.9756e-03 sec\n", + "--- Collate = 5.6958e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.837770e-06 < 1.562500e-03 [51]\n", + "--- Max DT=3.606074e-01 > 1.000000e-01 [69728]\n", + "----------------------------------------------------------------------\n", + " Component | low: 51/100000\n", + " Component | high: 69728/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=70.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0009224 [ 0.36 %]\n", + "Velocity : 0.00246842 [ 0.97 %]\n", + "Force : 0.0540836 [ 21.15 %]\n", + "Coefs : 0.0254125 [ 9.94 %]\n", + "Output : 0.00451765 [ 1.77 %]\n", + "Levels : 0.000235845 [ 0.09 %]\n", + "Report : 6.41e-07 [ 0.00 %]\n", + "Balance : 3.56e-07 [ 0.00 %]\n", + "Adjust : 0.167918 [ 65.66 %]\n", + "Total : 0.255724 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6250 653 190 30 10 4 5 \n", + "1 : 6236 665 181 41 6 8 5 \n", + "2 : 6306 603 182 34 8 2 7 \n", + "3 : 6265 653 172 29 9 8 6 \n", + "4 : 6232 678 181 34 9 1 7 \n", + "5 : 6264 650 183 21 9 7 8 \n", + "6 : 6290 623 167 35 10 8 9 \n", + "7 : 6301 623 166 37 9 5 1 \n", + "8 : 6283 629 191 24 8 4 3 \n", + "9 : 6284 635 170 37 10 1 5 \n", + "10 : 6337 603 150 35 5 3 9 \n", + "11 : 6278 665 161 25 5 4 4 \n", + "12 : 6282 642 162 31 11 5 9 \n", + "13 : 6252 619 228 25 15 6 9 \n", + "\n", + "T : 87860 8941 2484 438 124 66 87 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 7.6899e-03 sec\n", + "--- Collate = 4.6363e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.744223e-05 < 1.562500e-03 [31]\n", + "--- Max DT=3.610075e-01 > 1.000000e-01 [69714]\n", + "----------------------------------------------------------------------\n", + " Component | low: 31/100000\n", + " Component | high: 69714/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=70.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000993907 [ 0.40 %]\n", + "Velocity : 0.00245435 [ 1.00 %]\n", + "Force : 0.0517956 [ 21.07 %]\n", + "Coefs : 0.0236291 [ 9.61 %]\n", + "Output : 0.00436906 [ 1.78 %]\n", + "Levels : 0.000247712 [ 0.10 %]\n", + "Report : 5.23e-07 [ 0.00 %]\n", + "Balance : 3.54e-07 [ 0.00 %]\n", + "Adjust : 0.162133 [ 65.97 %]\n", + "Total : 0.245783 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6250 650 188 35 9 4 6 \n", + "1 : 6231 672 179 36 12 3 9 \n", + "2 : 6294 619 176 34 12 2 5 \n", + "3 : 6260 661 167 29 8 11 6 \n", + "4 : 6230 674 188 28 12 5 5 \n", + "5 : 6267 646 183 24 7 5 10 \n", + "6 : 6284 627 167 36 13 8 7 \n", + "7 : 6295 624 174 35 12 1 1 \n", + "8 : 6286 634 178 29 7 5 3 \n", + "9 : 6288 625 180 31 11 5 2 \n", + "10 : 6336 601 158 30 4 7 6 \n", + "11 : 6279 660 164 25 8 4 2 \n", + "12 : 6282 635 168 32 12 9 4 \n", + "13 : 6257 612 222 30 16 8 9 \n", + "\n", + "T : 87839 8940 2492 434 143 77 75 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 8.1567e-03 sec\n", + "--- Collate = 5.8058e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.214405e-05 < 1.562500e-03 [31]\n", + "--- Max DT=3.614008e-01 > 1.000000e-01 [69711]\n", + "----------------------------------------------------------------------\n", + " Component | low: 31/100000\n", + " Component | high: 69711/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=70.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000890889 [ 0.35 %]\n", + "Velocity : 0.00247173 [ 0.98 %]\n", + "Force : 0.0539478 [ 21.33 %]\n", + "Coefs : 0.024218 [ 9.58 %]\n", + "Output : 0.00459345 [ 1.82 %]\n", + "Levels : 0.000294951 [ 0.12 %]\n", + "Report : 6.74e-07 [ 0.00 %]\n", + "Balance : 3.86e-07 [ 0.00 %]\n", + "Adjust : 0.166289 [ 65.76 %]\n", + "Total : 0.252882 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6249 652 189 33 6 9 4 \n", + "1 : 6231 666 190 33 6 7 9 \n", + "2 : 6293 615 178 36 10 5 5 \n", + "3 : 6258 664 163 32 9 9 7 \n", + "4 : 6234 663 195 28 10 8 4 \n", + "5 : 6265 646 180 28 10 7 6 \n", + "6 : 6283 628 167 38 10 10 6 \n", + "7 : 6291 626 173 37 11 3 1 \n", + "8 : 6282 644 169 32 7 4 4 \n", + "9 : 6285 635 177 24 14 6 1 \n", + "10 : 6333 604 154 33 8 6 4 \n", + "11 : 6290 647 159 31 6 7 2 \n", + "12 : 6291 624 173 29 15 7 3 \n", + "13 : 6247 622 221 35 9 13 7 \n", + "\n", + "T : 87832 8936 2488 449 131 101 63 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 6.5%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 1.0139e-02 sec\n", + "--- Collate = 4.9406e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.020401e-06 < 1.562500e-03 [34]\n", + "--- Max DT=3.617873e-01 > 1.000000e-01 [69700]\n", + "----------------------------------------------------------------------\n", + " Component | low: 34/100000\n", + " Component | high: 69700/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=71] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000987808 [ 0.34 %]\n", + "Velocity : 0.0026436 [ 0.90 %]\n", + "Force : 0.0540954 [ 18.47 %]\n", + "Coefs : 0.0244768 [ 8.36 %]\n", + "Output : 0.0439248 [ 15.00 %]\n", + "Levels : 0.000281703 [ 0.10 %]\n", + "Report : 1.21e-06 [ 0.00 %]\n", + "Balance : 7.45e-07 [ 0.00 %]\n", + "Adjust : 0.166256 [ 56.78 %]\n", + "Total : 0.292827 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6243 648 201 33 3 7 7 \n", + "1 : 6232 671 181 35 8 6 9 \n", + "2 : 6283 627 173 33 13 9 4 \n", + "3 : 6254 664 166 31 11 4 12 \n", + "4 : 6236 664 191 29 11 8 3 \n", + "5 : 6264 657 166 33 10 5 7 \n", + "6 : 6289 619 170 37 14 8 5 \n", + "7 : 6282 639 169 42 5 1 4 \n", + "8 : 6281 640 170 36 8 2 5 \n", + "9 : 6283 636 181 23 13 5 1 \n", + "10 : 6330 606 159 30 10 3 4 \n", + "11 : 6292 640 167 25 11 2 5 \n", + "12 : 6281 637 167 33 16 4 4 \n", + "13 : 6234 636 219 32 18 8 7 \n", + "\n", + "T : 87784 8984 2480 452 151 72 77 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.3897e-03 sec\n", + "--- Collate = 6.0194e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.325179e-06 < 1.562500e-03 [45]\n", + "--- Max DT=3.621665e-01 > 1.000000e-01 [69667]\n", + "----------------------------------------------------------------------\n", + " Component | low: 45/100000\n", + " Component | high: 69667/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=71.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000932349 [ 0.36 %]\n", + "Velocity : 0.00271908 [ 1.05 %]\n", + "Force : 0.0537299 [ 20.81 %]\n", + "Coefs : 0.0244362 [ 9.46 %]\n", + "Output : 0.00474472 [ 1.84 %]\n", + "Levels : 0.00025166 [ 0.10 %]\n", + "Report : 7.57e-07 [ 0.00 %]\n", + "Balance : 3.66e-07 [ 0.00 %]\n", + "Adjust : 0.171252 [ 66.31 %]\n", + "Total : 0.258248 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6239 655 192 34 9 4 9 \n", + "1 : 6231 679 175 34 10 6 7 \n", + "2 : 6277 640 166 34 13 5 7 \n", + "3 : 6251 662 171 32 11 6 9 \n", + "4 : 6239 659 195 27 12 5 5 \n", + "5 : 6264 661 161 29 16 5 6 \n", + "6 : 6284 620 171 40 14 6 7 \n", + "7 : 6281 636 170 43 7 0 5 \n", + "8 : 6277 642 176 31 10 2 4 \n", + "9 : 6283 635 181 23 12 5 3 \n", + "10 : 6329 602 163 31 9 4 4 \n", + "11 : 6293 637 168 24 14 2 4 \n", + "12 : 6280 632 173 37 9 7 4 \n", + "13 : 6234 633 220 36 17 7 7 \n", + "\n", + "T : 87762 8993 2482 455 163 64 81 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.1849e-03 sec\n", + "--- Collate = 7.4322e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.238998e-05 < 1.562500e-03 [47]\n", + "--- Max DT=3.625385e-01 > 1.000000e-01 [69635]\n", + "----------------------------------------------------------------------\n", + " Component | low: 47/100000\n", + " Component | high: 69635/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=71.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000992461 [ 0.38 %]\n", + "Velocity : 0.00288335 [ 1.11 %]\n", + "Force : 0.0538021 [ 20.77 %]\n", + "Coefs : 0.0253024 [ 9.77 %]\n", + "Output : 0.00461725 [ 1.78 %]\n", + "Levels : 0.0002895 [ 0.11 %]\n", + "Report : 6.47e-07 [ 0.00 %]\n", + "Balance : 4.13e-07 [ 0.00 %]\n", + "Adjust : 0.170929 [ 66.00 %]\n", + "Total : 0.258984 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6244 652 190 31 11 6 8 \n", + "1 : 6232 678 170 35 15 6 6 \n", + "2 : 6273 638 178 29 10 4 10 \n", + "3 : 6245 666 171 29 16 7 8 \n", + "4 : 6241 660 186 35 10 3 7 \n", + "5 : 6267 654 163 35 16 2 5 \n", + "6 : 6286 616 169 43 14 9 5 \n", + "7 : 6279 636 176 36 6 6 3 \n", + "8 : 6277 640 179 29 10 5 2 \n", + "9 : 6280 640 182 22 10 1 7 \n", + "10 : 6328 599 167 29 13 2 4 \n", + "11 : 6288 639 169 27 10 4 5 \n", + "12 : 6285 625 177 32 11 5 7 \n", + "13 : 6229 641 216 36 15 10 7 \n", + "\n", + "T : 87754 8984 2493 448 167 70 84 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.1239e-03 sec\n", + "--- Collate = 5.8580e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.859873e-06 < 1.562500e-03 [41]\n", + "--- Max DT=3.629028e-01 > 1.000000e-01 [69644]\n", + "----------------------------------------------------------------------\n", + " Component | low: 41/100000\n", + " Component | high: 69644/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=71.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000967139 [ 0.38 %]\n", + "Velocity : 0.00267078 [ 1.05 %]\n", + "Force : 0.0532074 [ 20.94 %]\n", + "Coefs : 0.0238641 [ 9.39 %]\n", + "Output : 0.00466091 [ 1.83 %]\n", + "Levels : 0.000260917 [ 0.10 %]\n", + "Report : 3.96e-07 [ 0.00 %]\n", + "Balance : 2.71e-07 [ 0.00 %]\n", + "Adjust : 0.16826 [ 66.23 %]\n", + "Total : 0.254057 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6236 662 189 29 11 9 6 \n", + "1 : 6229 677 175 36 10 7 8 \n", + "2 : 6278 634 176 31 8 5 10 \n", + "3 : 6241 672 170 31 15 9 4 \n", + "4 : 6235 665 182 36 12 5 7 \n", + "5 : 6268 654 158 37 18 4 3 \n", + "6 : 6275 634 161 42 13 9 8 \n", + "7 : 6287 630 174 35 7 7 2 \n", + "8 : 6272 641 184 28 9 6 2 \n", + "9 : 6283 643 175 24 5 5 7 \n", + "10 : 6322 603 165 34 11 4 3 \n", + "11 : 6289 646 158 31 7 8 3 \n", + "12 : 6288 616 187 26 12 7 6 \n", + "13 : 6217 652 219 40 10 9 7 \n", + "\n", + "T : 87720 9029 2473 460 148 94 76 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 7.8518e-03 sec\n", + "--- Collate = 5.4422e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.637664e-06 < 1.562500e-03 [34]\n", + "--- Max DT=3.632600e-01 > 1.000000e-01 [69650]\n", + "----------------------------------------------------------------------\n", + " Component | low: 34/100000\n", + " Component | high: 69650/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=71.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00105788 [ 0.42 %]\n", + "Velocity : 0.00250568 [ 1.00 %]\n", + "Force : 0.0524285 [ 20.96 %]\n", + "Coefs : 0.0238378 [ 9.53 %]\n", + "Output : 0.00459541 [ 1.84 %]\n", + "Levels : 0.000236701 [ 0.09 %]\n", + "Report : 5.99e-07 [ 0.00 %]\n", + "Balance : 3.71e-07 [ 0.00 %]\n", + "Adjust : 0.165361 [ 66.09 %]\n", + "Total : 0.250194 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6237 657 192 33 8 10 5 \n", + "1 : 6229 675 175 37 12 5 9 \n", + "2 : 6271 646 171 31 10 5 8 \n", + "3 : 6238 672 173 32 16 7 4 \n", + "4 : 6231 670 181 37 11 6 6 \n", + "5 : 6265 654 162 37 13 10 1 \n", + "6 : 6269 636 163 42 14 7 11 \n", + "7 : 6295 628 172 29 10 5 3 \n", + "8 : 6268 644 183 28 9 7 3 \n", + "9 : 6288 637 170 29 7 4 7 \n", + "10 : 6325 599 165 39 8 2 4 \n", + "11 : 6282 650 166 28 6 4 6 \n", + "12 : 6286 612 194 23 13 8 6 \n", + "13 : 6216 653 221 39 9 8 8 \n", + "\n", + "T : 87700 9033 2488 464 146 88 81 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 7.7876e-03 sec\n", + "--- Collate = 6.8266e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.224218e-05 < 1.562500e-03 [52]\n", + "--- Max DT=3.636093e-01 > 1.000000e-01 [69652]\n", + "----------------------------------------------------------------------\n", + " Component | low: 52/100000\n", + " Component | high: 69652/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=71.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000899051 [ 0.36 %]\n", + "Velocity : 0.00235756 [ 0.95 %]\n", + "Force : 0.0522687 [ 20.97 %]\n", + "Coefs : 0.0243971 [ 9.79 %]\n", + "Output : 0.00446673 [ 1.79 %]\n", + "Levels : 0.000232585 [ 0.09 %]\n", + "Report : 6.18e-07 [ 0.00 %]\n", + "Balance : 3.44e-07 [ 0.00 %]\n", + "Adjust : 0.16446 [ 65.98 %]\n", + "Total : 0.249246 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6233 660 196 30 15 2 6 \n", + "1 : 6225 675 180 39 10 5 8 \n", + "2 : 6271 646 165 36 12 6 6 \n", + "3 : 6239 674 172 34 12 6 5 \n", + "4 : 6230 672 180 35 11 6 8 \n", + "5 : 6262 653 167 37 15 4 4 \n", + "6 : 6267 637 164 45 10 6 13 \n", + "7 : 6297 620 182 22 15 1 5 \n", + "8 : 6262 652 178 31 8 5 6 \n", + "9 : 6290 633 167 34 5 7 6 \n", + "10 : 6327 599 160 40 9 3 4 \n", + "11 : 6273 655 165 33 7 3 6 \n", + "12 : 6282 619 192 25 11 6 7 \n", + "13 : 6214 658 221 35 13 4 9 \n", + "\n", + "T : 87672 9053 2489 476 153 64 93 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 7.9947e-03 sec\n", + "--- Collate = 5.0932e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.796138e-06 < 1.562500e-03 [45]\n", + "--- Max DT=3.639513e-01 > 1.000000e-01 [69639]\n", + "----------------------------------------------------------------------\n", + " Component | low: 45/100000\n", + " Component | high: 69639/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=71.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00089803 [ 0.36 %]\n", + "Velocity : 0.00243974 [ 0.98 %]\n", + "Force : 0.0517991 [ 20.83 %]\n", + "Coefs : 0.0231918 [ 9.32 %]\n", + "Output : 0.00449395 [ 1.81 %]\n", + "Levels : 0.000276684 [ 0.11 %]\n", + "Report : 6.56e-07 [ 0.00 %]\n", + "Balance : 3.35e-07 [ 0.00 %]\n", + "Adjust : 0.16546 [ 66.52 %]\n", + "Total : 0.248725 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6238 652 194 41 8 3 6 \n", + "1 : 6221 672 189 35 12 7 6 \n", + "2 : 6272 644 167 35 13 8 3 \n", + "3 : 6227 685 181 27 10 6 6 \n", + "4 : 6228 669 181 37 15 3 9 \n", + "5 : 6257 659 167 41 9 1 8 \n", + "6 : 6262 649 157 46 7 7 14 \n", + "7 : 6288 628 185 19 16 3 3 \n", + "8 : 6261 650 181 27 10 7 6 \n", + "9 : 6289 634 164 35 9 6 5 \n", + "10 : 6322 597 172 35 9 4 3 \n", + "11 : 6270 657 164 33 6 6 6 \n", + "12 : 6277 627 184 30 12 5 7 \n", + "13 : 6221 654 218 38 9 6 8 \n", + "\n", + "T : 87633 9077 2504 479 145 72 90 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 8.0375e-03 sec\n", + "--- Collate = 5.2108e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.223088e-05 < 1.562500e-03 [35]\n", + "--- Max DT=3.642865e-01 > 1.000000e-01 [69661]\n", + "----------------------------------------------------------------------\n", + " Component | low: 35/100000\n", + " Component | high: 69661/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=71.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000933146 [ 0.37 %]\n", + "Velocity : 0.0024304 [ 0.97 %]\n", + "Force : 0.0519733 [ 20.65 %]\n", + "Coefs : 0.0245487 [ 9.75 %]\n", + "Output : 0.0047153 [ 1.87 %]\n", + "Levels : 0.000223373 [ 0.09 %]\n", + "Report : 3.51e-07 [ 0.00 %]\n", + "Balance : 3.39e-07 [ 0.00 %]\n", + "Adjust : 0.166716 [ 66.23 %]\n", + "Total : 0.251707 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6236 654 193 38 12 5 4 \n", + "1 : 6217 678 186 35 12 8 6 \n", + "2 : 6270 647 167 35 12 5 6 \n", + "3 : 6224 689 179 27 10 6 7 \n", + "4 : 6229 665 185 32 19 6 6 \n", + "5 : 6253 664 163 43 5 7 7 \n", + "6 : 6261 651 150 48 14 8 10 \n", + "7 : 6296 624 179 22 15 4 2 \n", + "8 : 6254 660 179 29 8 4 8 \n", + "9 : 6288 635 166 36 10 1 6 \n", + "10 : 6325 598 169 35 10 3 2 \n", + "11 : 6275 652 164 32 9 6 4 \n", + "12 : 6278 625 186 29 12 6 6 \n", + "13 : 6226 647 216 44 9 7 5 \n", + "\n", + "T : 87632 9089 2482 485 157 76 79 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 7.7835e-03 sec\n", + "--- Collate = 5.5005e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.401555e-05 < 1.562500e-03 [46]\n", + "--- Max DT=3.646150e-01 > 1.000000e-01 [69639]\n", + "----------------------------------------------------------------------\n", + " Component | low: 46/100000\n", + " Component | high: 69639/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=71.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000899034 [ 0.36 %]\n", + "Velocity : 0.00246877 [ 0.99 %]\n", + "Force : 0.0526847 [ 21.16 %]\n", + "Coefs : 0.0238086 [ 9.56 %]\n", + "Output : 0.00456516 [ 1.83 %]\n", + "Levels : 0.000252384 [ 0.10 %]\n", + "Report : 6.13e-07 [ 0.00 %]\n", + "Balance : 3.23e-07 [ 0.00 %]\n", + "Adjust : 0.16409 [ 65.92 %]\n", + "Total : 0.248932 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6230 660 196 31 15 6 4 \n", + "1 : 6221 672 186 33 17 7 6 \n", + "2 : 6271 653 164 35 9 4 6 \n", + "3 : 6219 690 179 29 15 4 6 \n", + "4 : 6224 669 182 37 17 7 6 \n", + "5 : 6249 671 167 32 7 8 8 \n", + "6 : 6262 649 153 46 13 10 9 \n", + "7 : 6295 624 177 26 13 2 5 \n", + "8 : 6255 660 172 36 4 8 7 \n", + "9 : 6283 637 169 40 7 2 4 \n", + "10 : 6326 600 162 36 9 7 2 \n", + "11 : 6279 651 160 30 10 6 6 \n", + "12 : 6271 632 189 29 10 7 4 \n", + "13 : 6225 651 209 42 19 2 6 \n", + "\n", + "T : 87610 9119 2465 482 165 80 79 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.2%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 8.0901e-03 sec\n", + "--- Collate = 5.7337e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.908833e-06 < 1.562500e-03 [42]\n", + "--- Max DT=3.649370e-01 > 1.000000e-01 [69648]\n", + "----------------------------------------------------------------------\n", + " Component | low: 42/100000\n", + " Component | high: 69648/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=71.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000915385 [ 0.36 %]\n", + "Velocity : 0.00248023 [ 0.98 %]\n", + "Force : 0.0528465 [ 20.90 %]\n", + "Coefs : 0.0241461 [ 9.55 %]\n", + "Output : 0.00467658 [ 1.85 %]\n", + "Levels : 0.000232478 [ 0.09 %]\n", + "Report : 6.08e-07 [ 0.00 %]\n", + "Balance : 3.05e-07 [ 0.00 %]\n", + "Adjust : 0.167418 [ 66.20 %]\n", + "Total : 0.252882 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6214 677 195 31 17 5 3 \n", + "1 : 6226 670 184 35 17 2 8 \n", + "2 : 6265 659 163 37 9 3 6 \n", + "3 : 6228 680 177 34 11 5 7 \n", + "4 : 6223 667 185 38 13 9 7 \n", + "5 : 6251 670 163 36 9 2 11 \n", + "6 : 6262 651 156 43 9 12 9 \n", + "7 : 6291 628 172 34 8 5 4 \n", + "8 : 6251 673 160 36 9 5 8 \n", + "9 : 6283 630 176 42 4 3 4 \n", + "10 : 6326 596 168 33 11 5 3 \n", + "11 : 6267 659 166 31 10 2 7 \n", + "12 : 6273 630 189 27 16 2 5 \n", + "13 : 6225 652 209 45 12 5 6 \n", + "\n", + "T : 87585 9142 2463 502 155 65 88 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 7.9059e-03 sec\n", + "--- Collate = 4.7009e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.047946e-05 < 1.562500e-03 [42]\n", + "--- Max DT=3.652519e-01 > 1.000000e-01 [69621]\n", + "----------------------------------------------------------------------\n", + " Component | low: 42/100000\n", + " Component | high: 69621/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=72] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00102207 [ 0.36 %]\n", + "Velocity : 0.00250641 [ 0.88 %]\n", + "Force : 0.0530936 [ 18.67 %]\n", + "Coefs : 0.0237559 [ 8.35 %]\n", + "Output : 0.0384366 [ 13.51 %]\n", + "Levels : 0.000270159 [ 0.09 %]\n", + "Report : 1.075e-06 [ 0.00 %]\n", + "Balance : 4.73e-07 [ 0.00 %]\n", + "Adjust : 0.165169 [ 58.07 %]\n", + "Total : 0.284425 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6210 682 194 31 16 4 5 \n", + "1 : 6225 679 171 42 9 9 7 \n", + "2 : 6259 662 172 28 8 8 5 \n", + "3 : 6226 681 182 32 8 6 7 \n", + "4 : 6221 664 188 38 16 6 9 \n", + "5 : 6257 669 162 33 6 5 10 \n", + "6 : 6257 651 158 45 15 7 9 \n", + "7 : 6288 628 177 32 7 4 6 \n", + "8 : 6242 684 155 37 8 11 5 \n", + "9 : 6289 625 179 36 5 6 2 \n", + "10 : 6334 588 166 36 12 1 5 \n", + "11 : 6274 657 161 34 4 7 5 \n", + "12 : 6265 642 185 27 14 5 4 \n", + "13 : 6218 660 210 43 11 6 6 \n", + "\n", + "T : 87565 9172 2460 494 139 85 85 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.8121e-03 sec\n", + "--- Collate = 6.2090e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.105574e-05 < 1.562500e-03 [42]\n", + "--- Max DT=3.655597e-01 > 1.000000e-01 [69615]\n", + "----------------------------------------------------------------------\n", + " Component | low: 42/100000\n", + " Component | high: 69615/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=72.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000691517 [ 0.29 %]\n", + "Velocity : 0.00155004 [ 0.64 %]\n", + "Force : 0.0515613 [ 21.38 %]\n", + "Coefs : 0.0260866 [ 10.82 %]\n", + "Output : 0.0022679 [ 0.94 %]\n", + "Levels : 0.000187184 [ 0.08 %]\n", + "Report : 9.35e-07 [ 0.00 %]\n", + "Balance : 4.47e-07 [ 0.00 %]\n", + "Adjust : 0.158714 [ 65.80 %]\n", + "Total : 0.241205 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6211 684 191 35 11 5 5 \n", + "1 : 6227 674 172 42 8 11 8 \n", + "2 : 6265 656 172 27 7 8 7 \n", + "3 : 6221 691 178 34 6 5 7 \n", + "4 : 6227 659 189 35 13 9 10 \n", + "5 : 6253 667 169 29 8 8 8 \n", + "6 : 6251 650 165 44 15 11 6 \n", + "7 : 6288 625 177 32 8 7 5 \n", + "8 : 6243 675 161 39 14 2 8 \n", + "9 : 6282 632 178 36 6 3 5 \n", + "10 : 6329 592 168 35 11 3 4 \n", + "11 : 6261 670 157 36 6 5 7 \n", + "12 : 6263 650 184 22 13 7 3 \n", + "13 : 6213 663 209 44 12 9 4 \n", + "\n", + "T : 87534 9188 2470 490 138 93 87 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.4827e-03 sec\n", + "--- Collate = 5.7179e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.584255e-05 < 1.562500e-03 [48]\n", + "--- Max DT=3.658606e-01 > 1.000000e-01 [69562]\n", + "----------------------------------------------------------------------\n", + " Component | low: 48/100000\n", + " Component | high: 69562/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=72.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000423278 [ 0.17 %]\n", + "Velocity : 0.00123462 [ 0.51 %]\n", + "Force : 0.0521666 [ 21.51 %]\n", + "Coefs : 0.0258698 [ 10.67 %]\n", + "Output : 0.00199877 [ 0.82 %]\n", + "Levels : 0.00019808 [ 0.08 %]\n", + "Report : 7.63e-07 [ 0.00 %]\n", + "Balance : 4.04e-07 [ 0.00 %]\n", + "Adjust : 0.16051 [ 66.17 %]\n", + "Total : 0.242554 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6205 690 198 30 7 4 8 \n", + "1 : 6227 669 178 42 8 6 12 \n", + "2 : 6268 654 168 32 6 4 10 \n", + "3 : 6221 692 178 35 8 3 5 \n", + "4 : 6224 660 190 37 9 13 9 \n", + "5 : 6258 659 168 35 8 9 5 \n", + "6 : 6251 654 164 42 15 7 9 \n", + "7 : 6288 622 179 33 6 8 6 \n", + "8 : 6242 676 159 42 11 5 7 \n", + "9 : 6277 633 182 34 6 4 6 \n", + "10 : 6324 596 175 27 10 7 3 \n", + "11 : 6255 670 160 40 6 6 5 \n", + "12 : 6261 651 183 21 15 5 6 \n", + "13 : 6211 667 209 41 16 0 10 \n", + "\n", + "T : 87512 9193 2491 491 131 81 101 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.5766e-03 sec\n", + "--- Collate = 7.4528e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.082319e-06 < 1.562500e-03 [59]\n", + "--- Max DT=3.661546e-01 > 1.000000e-01 [69568]\n", + "----------------------------------------------------------------------\n", + " Component | low: 59/100000\n", + " Component | high: 69568/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=72.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000394357 [ 0.16 %]\n", + "Velocity : 0.00151799 [ 0.62 %]\n", + "Force : 0.0516397 [ 21.15 %]\n", + "Coefs : 0.0256247 [ 10.50 %]\n", + "Output : 0.00228734 [ 0.94 %]\n", + "Levels : 0.000286822 [ 0.12 %]\n", + "Report : 1.007e-06 [ 0.00 %]\n", + "Balance : 7.07e-07 [ 0.00 %]\n", + "Adjust : 0.162246 [ 66.45 %]\n", + "Total : 0.244145 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6202 690 198 32 7 5 8 \n", + "1 : 6228 668 175 39 14 6 12 \n", + "2 : 6264 660 165 31 7 5 10 \n", + "3 : 6218 690 181 36 8 5 4 \n", + "4 : 6218 669 188 37 11 9 10 \n", + "5 : 6260 656 169 34 13 5 5 \n", + "6 : 6249 659 167 36 16 10 5 \n", + "7 : 6293 612 184 33 5 7 8 \n", + "8 : 6234 679 168 37 13 5 6 \n", + "9 : 6270 644 178 31 7 7 5 \n", + "10 : 6317 596 182 26 10 11 0 \n", + "11 : 6251 672 161 40 9 3 6 \n", + "12 : 6259 656 182 20 12 6 7 \n", + "13 : 6215 664 209 40 11 6 9 \n", + "\n", + "T : 87478 9215 2507 472 143 90 95 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 8.8503e-03 sec\n", + "--- Collate = 5.7080e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.564435e-06 < 1.562500e-03 [44]\n", + "--- Max DT=3.664423e-01 > 1.000000e-01 [69540]\n", + "----------------------------------------------------------------------\n", + " Component | low: 44/100000\n", + " Component | high: 69540/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=72.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000626673 [ 0.25 %]\n", + "Velocity : 0.00158533 [ 0.63 %]\n", + "Force : 0.0527161 [ 20.92 %]\n", + "Coefs : 0.0244241 [ 9.69 %]\n", + "Output : 0.00351749 [ 1.40 %]\n", + "Levels : 0.000184297 [ 0.07 %]\n", + "Report : 9.52e-07 [ 0.00 %]\n", + "Balance : 4.64e-07 [ 0.00 %]\n", + "Adjust : 0.168767 [ 66.97 %]\n", + "Total : 0.252002 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6195 697 195 35 8 4 8 \n", + "1 : 6230 664 174 39 18 5 12 \n", + "2 : 6257 669 164 27 12 5 8 \n", + "3 : 6211 695 180 36 10 6 4 \n", + "4 : 6218 666 194 36 12 5 11 \n", + "5 : 6261 655 169 33 13 5 6 \n", + "6 : 6249 657 169 33 21 5 8 \n", + "7 : 6292 607 190 30 11 5 7 \n", + "8 : 6235 682 167 32 13 10 3 \n", + "9 : 6270 640 179 33 7 8 5 \n", + "10 : 6312 608 173 29 10 6 4 \n", + "11 : 6253 668 162 42 8 4 5 \n", + "12 : 6256 664 170 30 10 2 10 \n", + "13 : 6216 664 207 39 10 9 9 \n", + "\n", + "T : 87455 9236 2493 474 163 79 100 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 7.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.3270e-03 sec\n", + "--- Collate = 5.6880e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.004863e-06 < 1.562500e-03 [57]\n", + "--- Max DT=3.667236e-01 > 1.000000e-01 [69535]\n", + "----------------------------------------------------------------------\n", + " Component | low: 57/100000\n", + " Component | high: 69535/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=72.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000412346 [ 0.17 %]\n", + "Velocity : 0.00130654 [ 0.53 %]\n", + "Force : 0.0525266 [ 21.27 %]\n", + "Coefs : 0.025775 [ 10.44 %]\n", + "Output : 0.00195165 [ 0.79 %]\n", + "Levels : 0.000201274 [ 0.08 %]\n", + "Report : 9.63e-07 [ 0.00 %]\n", + "Balance : 5.96e-07 [ 0.00 %]\n", + "Adjust : 0.164571 [ 66.66 %]\n", + "Total : 0.246898 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6197 694 197 32 10 7 5 \n", + "1 : 6226 664 184 35 14 11 8 \n", + "2 : 6255 665 168 29 10 10 5 \n", + "3 : 6213 690 186 32 14 3 4 \n", + "4 : 6213 669 196 38 11 5 10 \n", + "5 : 6256 653 169 39 13 7 5 \n", + "6 : 6244 667 163 38 9 13 8 \n", + "7 : 6292 606 190 32 8 5 9 \n", + "8 : 6238 677 170 28 15 7 7 \n", + "9 : 6270 639 180 33 7 7 6 \n", + "10 : 6303 618 176 23 12 3 7 \n", + "11 : 6252 668 161 43 11 3 4 \n", + "12 : 6258 660 170 32 9 4 9 \n", + "13 : 6214 661 208 44 10 8 9 \n", + "\n", + "T : 87431 9231 2518 478 153 93 96 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.1%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.4739e-03 sec\n", + "--- Collate = 5.4608e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.772811e-06 < 1.562500e-03 [46]\n", + "--- Max DT=3.669983e-01 > 1.000000e-01 [69543]\n", + "----------------------------------------------------------------------\n", + " Component | low: 46/100000\n", + " Component | high: 69543/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=72.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000325826 [ 0.13 %]\n", + "Velocity : 0.00129912 [ 0.53 %]\n", + "Force : 0.0523173 [ 21.39 %]\n", + "Coefs : 0.0247659 [ 10.13 %]\n", + "Output : 0.00195589 [ 0.80 %]\n", + "Levels : 0.000155481 [ 0.06 %]\n", + "Report : 9.79e-07 [ 0.00 %]\n", + "Balance : 3.63e-07 [ 0.00 %]\n", + "Adjust : 0.163625 [ 66.90 %]\n", + "Total : 0.244588 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6193 703 193 33 11 4 5 \n", + "1 : 6222 661 190 36 16 12 5 \n", + "2 : 6265 651 172 29 12 6 7 \n", + "3 : 6212 698 183 26 14 6 3 \n", + "4 : 6209 671 197 38 12 9 6 \n", + "5 : 6255 650 175 40 9 9 4 \n", + "6 : 6245 663 165 34 12 9 14 \n", + "7 : 6299 596 191 33 9 7 7 \n", + "8 : 6234 679 175 27 14 4 9 \n", + "9 : 6277 629 181 32 8 5 10 \n", + "10 : 6311 608 170 28 15 2 8 \n", + "11 : 6252 661 169 43 10 3 4 \n", + "12 : 6263 652 174 32 9 4 8 \n", + "13 : 6206 671 206 48 11 3 9 \n", + "\n", + "T : 87443 9193 2541 479 162 83 99 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 8.2589e-03 sec\n", + "--- Collate = 5.8067e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.625801e-05 < 1.562500e-03 [37]\n", + "--- Max DT=3.672658e-01 > 1.000000e-01 [69539]\n", + "----------------------------------------------------------------------\n", + " Component | low: 37/100000\n", + " Component | high: 69539/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=72.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000419511 [ 0.18 %]\n", + "Velocity : 0.00107515 [ 0.45 %]\n", + "Force : 0.0515201 [ 21.66 %]\n", + "Coefs : 0.0247586 [ 10.41 %]\n", + "Output : 0.00182742 [ 0.77 %]\n", + "Levels : 0.000202045 [ 0.08 %]\n", + "Report : 8.13e-07 [ 0.00 %]\n", + "Balance : 4.18e-07 [ 0.00 %]\n", + "Adjust : 0.157958 [ 66.40 %]\n", + "Total : 0.237892 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6187 712 187 35 13 6 2 \n", + "1 : 6226 653 191 42 15 6 9 \n", + "2 : 6273 646 169 29 14 5 6 \n", + "3 : 6213 698 181 30 9 5 6 \n", + "4 : 6200 678 197 41 11 12 3 \n", + "5 : 6258 642 178 39 11 8 6 \n", + "6 : 6242 669 163 32 15 7 14 \n", + "7 : 6299 593 196 29 11 5 9 \n", + "8 : 6230 690 165 33 11 5 8 \n", + "9 : 6276 626 183 36 6 7 8 \n", + "10 : 6312 605 170 28 12 10 5 \n", + "11 : 6251 658 177 38 8 8 2 \n", + "12 : 6269 639 178 35 10 5 6 \n", + "13 : 6205 671 211 43 10 4 10 \n", + "\n", + "T : 87441 9180 2546 490 156 93 94 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.6206e-03 sec\n", + "--- Collate = 5.6875e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.194890e-06 < 1.562500e-03 [50]\n", + "--- Max DT=3.675267e-01 > 1.000000e-01 [69532]\n", + "----------------------------------------------------------------------\n", + " Component | low: 50/100000\n", + " Component | high: 69532/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=72.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000377297 [ 0.15 %]\n", + "Velocity : 0.00130795 [ 0.53 %]\n", + "Force : 0.0534538 [ 21.61 %]\n", + "Coefs : 0.0250569 [ 10.13 %]\n", + "Output : 0.00194196 [ 0.78 %]\n", + "Levels : 0.000180396 [ 0.07 %]\n", + "Report : 9.03e-07 [ 0.00 %]\n", + "Balance : 4.03e-07 [ 0.00 %]\n", + "Adjust : 0.164956 [ 66.67 %]\n", + "Total : 0.247413 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6185 714 190 31 14 4 4 \n", + "1 : 6226 651 196 37 18 7 7 \n", + "2 : 6275 641 173 33 10 3 7 \n", + "3 : 6209 711 170 31 8 6 7 \n", + "4 : 6205 667 205 40 12 7 6 \n", + "5 : 6255 646 178 35 17 3 8 \n", + "6 : 6242 672 160 33 14 6 15 \n", + "7 : 6300 594 193 33 8 6 8 \n", + "8 : 6235 687 166 31 10 5 8 \n", + "9 : 6271 628 182 36 12 5 8 \n", + "10 : 6309 608 169 30 11 9 6 \n", + "11 : 6253 660 174 34 12 3 6 \n", + "12 : 6264 642 180 36 12 4 4 \n", + "13 : 6210 669 208 45 8 9 5 \n", + "\n", + "T : 87439 9190 2544 485 166 77 99 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.2946e-03 sec\n", + "--- Collate = 5.4652e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.552422e-07 < 1.562500e-03 [51]\n", + "--- Max DT=3.677807e-01 > 1.000000e-01 [69532]\n", + "----------------------------------------------------------------------\n", + " Component | low: 51/100000\n", + " Component | high: 69532/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=72.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000422176 [ 0.18 %]\n", + "Velocity : 0.00118758 [ 0.50 %]\n", + "Force : 0.0513907 [ 21.49 %]\n", + "Coefs : 0.0257497 [ 10.77 %]\n", + "Output : 0.00184443 [ 0.77 %]\n", + "Levels : 0.000151282 [ 0.06 %]\n", + "Report : 8.15e-07 [ 0.00 %]\n", + "Balance : 4.16e-07 [ 0.00 %]\n", + "Adjust : 0.158284 [ 66.18 %]\n", + "Total : 0.239168 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6187 708 194 34 7 8 4 \n", + "1 : 6220 657 193 38 20 7 7 \n", + "2 : 6272 646 174 27 12 4 7 \n", + "3 : 6216 702 175 27 9 6 7 \n", + "4 : 6205 664 211 37 14 4 7 \n", + "5 : 6248 647 179 40 18 3 7 \n", + "6 : 6244 668 158 37 15 11 9 \n", + "7 : 6305 593 187 35 13 0 9 \n", + "8 : 6224 694 170 35 8 4 7 \n", + "9 : 6270 625 187 35 12 7 6 \n", + "10 : 6303 611 171 28 13 8 8 \n", + "11 : 6254 657 174 35 10 6 6 \n", + "12 : 6263 636 189 34 13 3 4 \n", + "13 : 6203 672 218 38 12 5 6 \n", + "\n", + "T : 87414 9180 2580 480 176 76 94 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.5479e-03 sec\n", + "--- Collate = 5.0392e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.085292e-06 < 1.562500e-03 [40]\n", + "--- Max DT=3.680279e-01 > 1.000000e-01 [69534]\n", + "----------------------------------------------------------------------\n", + " Component | low: 40/100000\n", + " Component | high: 69534/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=73] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000365902 [ 0.13 %]\n", + "Velocity : 0.001152 [ 0.42 %]\n", + "Force : 0.0517573 [ 18.82 %]\n", + "Coefs : 0.0249247 [ 9.07 %]\n", + "Output : 0.0342443 [ 12.45 %]\n", + "Levels : 0.000199625 [ 0.07 %]\n", + "Report : 1.017e-06 [ 0.00 %]\n", + "Balance : 7.57e-07 [ 0.00 %]\n", + "Adjust : 0.162177 [ 58.98 %]\n", + "Total : 0.274949 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6183 707 198 31 11 5 7 \n", + "1 : 6224 654 191 37 19 12 5 \n", + "2 : 6269 651 172 25 13 5 7 \n", + "3 : 6214 704 170 29 10 7 8 \n", + "4 : 6207 663 210 35 13 7 7 \n", + "5 : 6247 649 173 49 6 12 6 \n", + "6 : 6243 674 157 33 21 8 6 \n", + "7 : 6301 598 187 38 8 5 5 \n", + "8 : 6227 689 170 36 9 6 5 \n", + "9 : 6267 620 197 35 7 9 7 \n", + "10 : 6296 616 171 31 14 5 9 \n", + "11 : 6251 657 177 39 6 4 8 \n", + "12 : 6258 633 195 35 13 5 3 \n", + "13 : 6206 674 214 33 13 7 7 \n", + "\n", + "T : 87393 9189 2582 486 163 97 90 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.6283e-03 sec\n", + "--- Collate = 5.8665e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.635525e-05 < 1.562500e-03 [44]\n", + "--- Max DT=3.682681e-01 > 1.000000e-01 [69522]\n", + "----------------------------------------------------------------------\n", + " Component | low: 44/100000\n", + " Component | high: 69522/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=73.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000904183 [ 0.35 %]\n", + "Velocity : 0.00258211 [ 1.01 %]\n", + "Force : 0.0536631 [ 21.06 %]\n", + "Coefs : 0.0239163 [ 9.39 %]\n", + "Output : 0.0046429 [ 1.82 %]\n", + "Levels : 0.000352228 [ 0.14 %]\n", + "Report : 6e-07 [ 0.00 %]\n", + "Balance : 4.2e-07 [ 0.00 %]\n", + "Adjust : 0.168581 [ 66.16 %]\n", + "Total : 0.254805 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6182 706 193 34 11 8 8 \n", + "1 : 6224 651 197 44 10 9 7 \n", + "2 : 6272 643 180 24 11 8 4 \n", + "3 : 6219 695 172 32 12 5 7 \n", + "4 : 6204 663 213 35 8 11 8 \n", + "5 : 6242 660 172 40 10 10 8 \n", + "6 : 6243 668 163 28 24 8 8 \n", + "7 : 6303 600 179 39 11 8 2 \n", + "8 : 6230 684 172 33 11 7 5 \n", + "9 : 6267 615 201 32 10 10 7 \n", + "10 : 6293 620 173 25 11 15 5 \n", + "11 : 6243 661 184 32 9 7 6 \n", + "12 : 6258 632 197 37 9 5 4 \n", + "13 : 6203 675 215 35 11 6 9 \n", + "\n", + "T : 87383 9173 2611 470 158 117 88 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.1610e-03 sec\n", + "--- Collate = 5.3273e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.051366e-05 < 1.562500e-03 [59]\n", + "--- Max DT=3.685015e-01 > 1.000000e-01 [69478]\n", + "----------------------------------------------------------------------\n", + " Component | low: 59/100000\n", + " Component | high: 69478/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=73.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0010135 [ 0.39 %]\n", + "Velocity : 0.00279188 [ 1.08 %]\n", + "Force : 0.0542248 [ 20.92 %]\n", + "Coefs : 0.0240924 [ 9.30 %]\n", + "Output : 0.00479779 [ 1.85 %]\n", + "Levels : 0.000246462 [ 0.10 %]\n", + "Report : 4.25e-07 [ 0.00 %]\n", + "Balance : 3.91e-07 [ 0.00 %]\n", + "Adjust : 0.171836 [ 66.30 %]\n", + "Total : 0.259174 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6181 705 197 30 12 5 12 \n", + "1 : 6224 651 198 43 8 9 9 \n", + "2 : 6272 646 175 29 9 6 5 \n", + "3 : 6218 705 163 35 8 6 7 \n", + "4 : 6193 681 205 35 9 8 11 \n", + "5 : 6246 653 171 41 16 4 11 \n", + "6 : 6250 662 163 33 16 8 10 \n", + "7 : 6288 613 188 28 15 7 3 \n", + "8 : 6221 692 173 31 14 7 4 \n", + "9 : 6255 626 201 35 9 6 10 \n", + "10 : 6289 625 169 32 8 10 9 \n", + "11 : 6243 654 188 32 13 7 5 \n", + "12 : 6258 633 194 40 8 4 5 \n", + "13 : 6206 669 220 35 11 6 7 \n", + "\n", + "T : 87344 9215 2605 479 156 93 108 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 8.1757e-03 sec\n", + "--- Collate = 5.2634e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.774121e-05 < 1.562500e-03 [63]\n", + "--- Max DT=3.687275e-01 > 1.000000e-01 [69478]\n", + "----------------------------------------------------------------------\n", + " Component | low: 63/100000\n", + " Component | high: 69478/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=73.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000918158 [ 0.36 %]\n", + "Velocity : 0.00250901 [ 0.97 %]\n", + "Force : 0.054095 [ 20.94 %]\n", + "Coefs : 0.0249953 [ 9.67 %]\n", + "Output : 0.00470148 [ 1.82 %]\n", + "Levels : 0.000235324 [ 0.09 %]\n", + "Report : 5.77e-07 [ 0.00 %]\n", + "Balance : 3.95e-07 [ 0.00 %]\n", + "Adjust : 0.170741 [ 66.08 %]\n", + "Total : 0.258373 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6193 694 196 25 18 5 11 \n", + "1 : 6218 654 195 50 9 5 11 \n", + "2 : 6277 638 178 29 9 7 4 \n", + "3 : 6217 700 169 31 11 6 8 \n", + "4 : 6193 680 205 36 9 8 11 \n", + "5 : 6241 650 182 38 14 8 9 \n", + "6 : 6246 669 158 38 17 2 12 \n", + "7 : 6290 607 187 36 12 5 5 \n", + "8 : 6218 695 175 29 15 4 6 \n", + "9 : 6247 635 202 30 14 6 8 \n", + "10 : 6286 624 175 29 12 6 10 \n", + "11 : 6245 651 190 30 12 10 4 \n", + "12 : 6262 631 191 43 6 3 6 \n", + "13 : 6204 671 221 33 11 9 5 \n", + "\n", + "T : 87337 9199 2624 477 169 84 110 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 8.1087e-03 sec\n", + "--- Collate = 4.9802e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.657175e-06 < 1.562500e-03 [46]\n", + "--- Max DT=3.689469e-01 > 1.000000e-01 [69471]\n", + "----------------------------------------------------------------------\n", + " Component | low: 46/100000\n", + " Component | high: 69471/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=73.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000910496 [ 0.36 %]\n", + "Velocity : 0.00253634 [ 1.00 %]\n", + "Force : 0.0535998 [ 21.15 %]\n", + "Coefs : 0.0234775 [ 9.26 %]\n", + "Output : 0.00464134 [ 1.83 %]\n", + "Levels : 0.000262959 [ 0.10 %]\n", + "Report : 4.08e-07 [ 0.00 %]\n", + "Balance : 3.65e-07 [ 0.00 %]\n", + "Adjust : 0.167893 [ 66.23 %]\n", + "Total : 0.253486 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6193 694 197 26 15 10 7 \n", + "1 : 6221 654 193 44 13 9 8 \n", + "2 : 6275 639 183 26 13 2 4 \n", + "3 : 6216 696 174 26 17 3 10 \n", + "4 : 6192 672 216 36 10 7 9 \n", + "5 : 6238 652 183 39 12 10 8 \n", + "6 : 6246 671 156 41 14 3 11 \n", + "7 : 6286 610 186 35 10 8 7 \n", + "8 : 6225 681 180 33 11 6 6 \n", + "9 : 6241 641 199 34 14 6 7 \n", + "10 : 6285 627 174 28 10 5 13 \n", + "11 : 6245 648 190 32 15 8 4 \n", + "12 : 6256 631 200 38 9 3 5 \n", + "13 : 6207 669 218 35 11 11 3 \n", + "\n", + "T : 87326 9185 2649 473 174 91 102 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.1869e-03 sec\n", + "--- Collate = 5.2825e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.899327e-07 < 1.562500e-03 [43]\n", + "--- Max DT=3.691593e-01 > 1.000000e-01 [69439]\n", + "----------------------------------------------------------------------\n", + " Component | low: 43/100000\n", + " Component | high: 69439/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=73.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000911244 [ 0.37 %]\n", + "Velocity : 0.0024242 [ 0.98 %]\n", + "Force : 0.0523577 [ 21.19 %]\n", + "Coefs : 0.022672 [ 9.18 %]\n", + "Output : 0.00450065 [ 1.82 %]\n", + "Levels : 0.000261924 [ 0.11 %]\n", + "Report : 6.37e-07 [ 0.00 %]\n", + "Balance : 3.91e-07 [ 0.00 %]\n", + "Adjust : 0.163748 [ 66.29 %]\n", + "Total : 0.247035 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6188 701 195 29 13 9 7 \n", + "1 : 6221 660 191 38 15 10 7 \n", + "2 : 6276 641 179 29 8 6 3 \n", + "3 : 6228 685 174 23 16 7 9 \n", + "4 : 6188 678 214 35 17 5 5 \n", + "5 : 6234 653 178 49 14 8 6 \n", + "6 : 6241 666 166 44 7 11 7 \n", + "7 : 6276 620 186 34 8 9 9 \n", + "8 : 6227 678 180 36 10 5 6 \n", + "9 : 6242 636 205 32 14 9 4 \n", + "10 : 6283 627 170 36 8 11 7 \n", + "11 : 6234 655 195 30 17 4 7 \n", + "12 : 6250 632 203 36 13 5 3 \n", + "13 : 6203 666 226 35 12 5 7 \n", + "\n", + "T : 87291 9198 2662 486 172 104 87 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.3516e-03 sec\n", + "--- Collate = 5.8698e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.618859e-05 < 1.562500e-03 [35]\n", + "--- Max DT=3.693646e-01 > 1.000000e-01 [69420]\n", + "----------------------------------------------------------------------\n", + " Component | low: 35/100000\n", + " Component | high: 69420/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=73.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000899658 [ 0.35 %]\n", + "Velocity : 0.00257889 [ 1.01 %]\n", + "Force : 0.0531823 [ 20.88 %]\n", + "Coefs : 0.023827 [ 9.35 %]\n", + "Output : 0.00470396 [ 1.85 %]\n", + "Levels : 0.000236894 [ 0.09 %]\n", + "Report : 6.14e-07 [ 0.00 %]\n", + "Balance : 3.33e-07 [ 0.00 %]\n", + "Adjust : 0.169143 [ 66.40 %]\n", + "Total : 0.254742 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6193 693 198 32 12 8 6 \n", + "1 : 6228 647 193 38 20 8 8 \n", + "2 : 6281 635 179 31 8 5 3 \n", + "3 : 6227 683 172 28 10 15 7 \n", + "4 : 6189 678 207 42 13 11 2 \n", + "5 : 6222 660 187 38 18 8 9 \n", + "6 : 6239 668 173 33 12 12 5 \n", + "7 : 6272 623 191 31 9 8 8 \n", + "8 : 6219 688 185 27 13 2 8 \n", + "9 : 6245 636 199 34 17 6 5 \n", + "10 : 6281 626 172 35 14 7 7 \n", + "11 : 6238 653 192 32 15 7 5 \n", + "12 : 6253 629 204 35 13 6 2 \n", + "13 : 6203 662 223 38 17 4 7 \n", + "\n", + "T : 87290 9181 2675 474 191 107 82 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 7.8697e-03 sec\n", + "--- Collate = 5.0502e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.777720e-06 < 1.562500e-03 [43]\n", + "--- Max DT=3.695627e-01 > 1.000000e-01 [69395]\n", + "----------------------------------------------------------------------\n", + " Component | low: 43/100000\n", + " Component | high: 69395/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=73.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000987184 [ 0.40 %]\n", + "Velocity : 0.00252601 [ 1.03 %]\n", + "Force : 0.0530881 [ 21.62 %]\n", + "Coefs : 0.022853 [ 9.31 %]\n", + "Output : 0.0044372 [ 1.81 %]\n", + "Levels : 0.000244504 [ 0.10 %]\n", + "Report : 6.51e-07 [ 0.00 %]\n", + "Balance : 3.92e-07 [ 0.00 %]\n", + "Adjust : 0.161201 [ 65.66 %]\n", + "Total : 0.245522 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6201 683 197 35 10 12 4 \n", + "1 : 6228 648 192 34 24 6 10 \n", + "2 : 6278 638 178 28 11 7 2 \n", + "3 : 6223 686 173 29 10 10 11 \n", + "4 : 6201 659 215 41 13 12 1 \n", + "5 : 6222 660 189 37 14 10 10 \n", + "6 : 6235 665 179 32 15 10 6 \n", + "7 : 6272 621 190 34 8 10 7 \n", + "8 : 6221 684 186 27 15 3 6 \n", + "9 : 6243 637 200 39 8 8 7 \n", + "10 : 6277 631 176 35 9 8 6 \n", + "11 : 6239 652 191 35 13 4 8 \n", + "12 : 6248 632 204 35 10 12 1 \n", + "13 : 6197 668 225 36 14 7 7 \n", + "\n", + "T : 87285 9164 2695 477 174 119 86 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 7.8631e-03 sec\n", + "--- Collate = 5.0318e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.582546e-05 < 1.562500e-03 [46]\n", + "--- Max DT=3.697537e-01 > 1.000000e-01 [69389]\n", + "----------------------------------------------------------------------\n", + " Component | low: 46/100000\n", + " Component | high: 69389/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=73.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000898021 [ 0.36 %]\n", + "Velocity : 0.00257494 [ 1.02 %]\n", + "Force : 0.0531318 [ 21.14 %]\n", + "Coefs : 0.0232154 [ 9.24 %]\n", + "Output : 0.0047747 [ 1.90 %]\n", + "Levels : 0.000267483 [ 0.11 %]\n", + "Report : 6.12e-07 [ 0.00 %]\n", + "Balance : 3.66e-07 [ 0.00 %]\n", + "Adjust : 0.166259 [ 66.16 %]\n", + "Total : 0.25129 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6201 684 202 32 10 6 7 \n", + "1 : 6220 655 189 42 18 10 8 \n", + "2 : 6269 648 176 27 12 6 4 \n", + "3 : 6216 694 172 29 14 4 13 \n", + "4 : 6204 654 212 48 14 4 6 \n", + "5 : 6220 662 189 38 10 11 12 \n", + "6 : 6232 668 184 29 19 4 6 \n", + "7 : 6272 626 189 26 13 11 5 \n", + "8 : 6214 692 186 27 13 7 3 \n", + "9 : 6238 648 194 35 9 7 11 \n", + "10 : 6275 635 167 42 11 5 7 \n", + "11 : 6234 656 189 38 11 7 7 \n", + "12 : 6248 631 203 36 17 2 5 \n", + "13 : 6197 671 222 33 14 10 7 \n", + "\n", + "T : 87240 9224 2674 482 185 94 101 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 7.9127e-03 sec\n", + "--- Collate = 5.4593e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.636431e-06 < 1.562500e-03 [56]\n", + "--- Max DT=3.699376e-01 > 1.000000e-01 [69340]\n", + "----------------------------------------------------------------------\n", + " Component | low: 56/100000\n", + " Component | high: 69340/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=73.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000983702 [ 0.40 %]\n", + "Velocity : 0.00248363 [ 1.00 %]\n", + "Force : 0.0531124 [ 21.49 %]\n", + "Coefs : 0.0228795 [ 9.26 %]\n", + "Output : 0.00444976 [ 1.80 %]\n", + "Levels : 0.000230855 [ 0.09 %]\n", + "Report : 6.1e-07 [ 0.00 %]\n", + "Balance : 4e-07 [ 0.00 %]\n", + "Adjust : 0.162886 [ 65.90 %]\n", + "Total : 0.247182 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6196 686 204 28 12 9 7 \n", + "1 : 6212 665 187 42 11 16 9 \n", + "2 : 6261 656 173 27 11 9 5 \n", + "3 : 6216 694 166 36 12 7 11 \n", + "4 : 6206 650 211 49 14 6 6 \n", + "5 : 6218 664 190 35 14 9 12 \n", + "6 : 6236 669 175 36 16 5 5 \n", + "7 : 6271 623 190 30 17 4 7 \n", + "8 : 6211 693 190 28 11 7 2 \n", + "9 : 6234 652 191 39 6 10 10 \n", + "10 : 6276 638 164 34 16 6 8 \n", + "11 : 6231 666 183 38 13 3 8 \n", + "12 : 6243 635 203 36 15 3 7 \n", + "13 : 6194 672 222 38 11 6 11 \n", + "\n", + "T : 87205 9263 2649 496 179 100 108 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 8.1907e-03 sec\n", + "--- Collate = 5.3261e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.004972e-06 < 1.562500e-03 [52]\n", + "--- Max DT=3.701147e-01 > 1.000000e-01 [69349]\n", + "----------------------------------------------------------------------\n", + " Component | low: 52/100000\n", + " Component | high: 69349/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=74] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000924066 [ 0.32 %]\n", + "Velocity : 0.00257023 [ 0.89 %]\n", + "Force : 0.0557326 [ 19.26 %]\n", + "Coefs : 0.0246171 [ 8.51 %]\n", + "Output : 0.0352033 [ 12.17 %]\n", + "Levels : 0.000254582 [ 0.09 %]\n", + "Report : 1.666e-06 [ 0.00 %]\n", + "Balance : 5.43e-07 [ 0.00 %]\n", + "Adjust : 0.169878 [ 58.70 %]\n", + "Total : 0.289377 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6196 681 209 28 9 9 10 \n", + "1 : 6203 677 192 33 16 9 12 \n", + "2 : 6253 668 168 28 11 4 10 \n", + "3 : 6210 688 180 32 14 12 6 \n", + "4 : 6209 640 222 40 16 7 8 \n", + "5 : 6218 661 191 40 10 9 13 \n", + "6 : 6229 678 176 34 14 7 4 \n", + "7 : 6274 617 195 34 12 5 5 \n", + "8 : 6211 685 199 29 10 4 4 \n", + "9 : 6230 656 191 39 4 11 11 \n", + "10 : 6272 637 172 29 17 7 8 \n", + "11 : 6225 670 186 38 8 9 6 \n", + "12 : 6245 631 200 38 15 5 8 \n", + "13 : 6193 671 225 36 13 4 12 \n", + "\n", + "T : 87168 9260 2706 478 169 102 117 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.6390e-03 sec\n", + "--- Collate = 5.7005e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.898915e-05 < 1.562500e-03 [49]\n", + "--- Max DT=3.702854e-01 > 1.000000e-01 [69345]\n", + "----------------------------------------------------------------------\n", + " Component | low: 49/100000\n", + " Component | high: 69345/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=74.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000520053 [ 0.21 %]\n", + "Velocity : 0.00171922 [ 0.70 %]\n", + "Force : 0.053576 [ 21.68 %]\n", + "Coefs : 0.0257261 [ 10.41 %]\n", + "Output : 0.00179627 [ 0.73 %]\n", + "Levels : 0.000248565 [ 0.10 %]\n", + "Report : 1.071e-06 [ 0.00 %]\n", + "Balance : 6.73e-07 [ 0.00 %]\n", + "Adjust : 0.163441 [ 66.13 %]\n", + "Total : 0.247166 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6188 684 213 29 10 8 10 \n", + "1 : 6203 670 196 34 18 10 11 \n", + "2 : 6248 672 170 30 9 2 11 \n", + "3 : 6205 691 184 35 10 11 6 \n", + "4 : 6210 638 227 35 11 14 7 \n", + "5 : 6206 668 194 40 12 7 15 \n", + "6 : 6230 682 165 41 13 6 5 \n", + "7 : 6263 625 193 38 9 10 4 \n", + "8 : 6209 687 202 26 9 4 5 \n", + "9 : 6218 665 192 38 10 8 11 \n", + "10 : 6270 634 174 32 16 8 8 \n", + "11 : 6221 679 184 36 10 9 3 \n", + "12 : 6237 639 199 37 10 13 7 \n", + "13 : 6194 661 230 38 13 8 10 \n", + "\n", + "T : 87102 9295 2723 489 160 118 113 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.6937e-03 sec\n", + "--- Collate = 6.1047e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.998689e-06 < 1.562500e-03 [70]\n", + "--- Max DT=3.704498e-01 > 1.000000e-01 [69339]\n", + "----------------------------------------------------------------------\n", + " Component | low: 70/100000\n", + " Component | high: 69339/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=74.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000477432 [ 0.19 %]\n", + "Velocity : 0.00143468 [ 0.58 %]\n", + "Force : 0.0539348 [ 21.78 %]\n", + "Coefs : 0.0264011 [ 10.66 %]\n", + "Output : 0.00171547 [ 0.69 %]\n", + "Levels : 0.000177461 [ 0.07 %]\n", + "Report : 9.98e-07 [ 0.00 %]\n", + "Balance : 6.95e-07 [ 0.00 %]\n", + "Adjust : 0.163329 [ 65.96 %]\n", + "Total : 0.247609 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6173 696 215 29 10 7 12 \n", + "1 : 6195 681 190 40 12 12 12 \n", + "2 : 6242 674 175 27 9 5 10 \n", + "3 : 6205 690 180 35 14 8 10 \n", + "4 : 6208 639 227 35 15 7 11 \n", + "5 : 6205 666 197 37 16 9 12 \n", + "6 : 6233 678 170 37 11 6 7 \n", + "7 : 6272 613 194 39 12 7 5 \n", + "8 : 6211 684 200 28 9 5 5 \n", + "9 : 6216 666 197 35 11 8 9 \n", + "10 : 6271 634 173 32 13 11 8 \n", + "11 : 6221 681 185 30 12 7 6 \n", + "12 : 6231 638 206 37 8 13 9 \n", + "13 : 6194 660 226 43 11 12 8 \n", + "\n", + "T : 87077 9300 2735 484 163 117 124 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.1728e-03 sec\n", + "--- Collate = 5.1796e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.275161e-05 < 1.562500e-03 [72]\n", + "--- Max DT=3.706080e-01 > 1.000000e-01 [69324]\n", + "----------------------------------------------------------------------\n", + " Component | low: 72/100000\n", + " Component | high: 69324/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=74.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000493688 [ 0.20 %]\n", + "Velocity : 0.00140245 [ 0.58 %]\n", + "Force : 0.0530471 [ 21.78 %]\n", + "Coefs : 0.0251929 [ 10.34 %]\n", + "Output : 0.00217988 [ 0.89 %]\n", + "Levels : 0.000156061 [ 0.06 %]\n", + "Report : 8.89e-07 [ 0.00 %]\n", + "Balance : 2.53e-07 [ 0.00 %]\n", + "Adjust : 0.160987 [ 66.08 %]\n", + "Total : 0.243611 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6170 695 216 30 12 9 10 \n", + "1 : 6191 681 194 43 11 11 11 \n", + "2 : 6243 673 177 26 8 9 6 \n", + "3 : 6200 693 183 29 16 10 11 \n", + "4 : 6201 639 231 40 9 9 13 \n", + "5 : 6216 655 200 39 14 6 12 \n", + "6 : 6234 674 172 34 12 10 6 \n", + "7 : 6268 617 193 40 9 8 7 \n", + "8 : 6210 683 203 29 6 4 7 \n", + "9 : 6217 663 200 36 9 7 10 \n", + "10 : 6266 632 181 29 13 11 10 \n", + "11 : 6223 678 186 30 12 5 8 \n", + "12 : 6226 646 199 40 11 7 13 \n", + "13 : 6193 661 220 49 15 8 8 \n", + "\n", + "T : 87058 9290 2755 494 157 114 132 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.6189e-03 sec\n", + "--- Collate = 5.0618e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.086860e-06 < 1.562500e-03 [51]\n", + "--- Max DT=3.707595e-01 > 1.000000e-01 [69360]\n", + "----------------------------------------------------------------------\n", + " Component | low: 51/100000\n", + " Component | high: 69360/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=74.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000404219 [ 0.16 %]\n", + "Velocity : 0.00137175 [ 0.55 %]\n", + "Force : 0.0527475 [ 21.20 %]\n", + "Coefs : 0.0268795 [ 10.80 %]\n", + "Output : 0.00214639 [ 0.86 %]\n", + "Levels : 0.00018463 [ 0.07 %]\n", + "Report : 9.05e-07 [ 0.00 %]\n", + "Balance : 4.13e-07 [ 0.00 %]\n", + "Adjust : 0.164966 [ 66.29 %]\n", + "Total : 0.248846 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6169 694 217 36 10 7 9 \n", + "1 : 6191 680 198 38 17 8 10 \n", + "2 : 6233 682 179 25 10 8 5 \n", + "3 : 6198 688 183 34 15 11 13 \n", + "4 : 6200 641 231 35 14 8 13 \n", + "5 : 6216 656 197 45 8 13 7 \n", + "6 : 6219 690 167 39 10 9 8 \n", + "7 : 6269 611 199 36 14 6 7 \n", + "8 : 6203 686 206 29 6 5 7 \n", + "9 : 6217 657 204 37 11 8 8 \n", + "10 : 6270 624 186 30 12 6 14 \n", + "11 : 6218 686 180 31 11 6 10 \n", + "12 : 6225 645 199 41 15 5 12 \n", + "13 : 6191 665 219 47 16 12 4 \n", + "\n", + "T : 87019 9305 2765 503 169 112 127 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.5013e-03 sec\n", + "--- Collate = 5.4507e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.962835e-06 < 1.562500e-03 [58]\n", + "--- Max DT=3.709046e-01 > 1.000000e-01 [69356]\n", + "----------------------------------------------------------------------\n", + " Component | low: 58/100000\n", + " Component | high: 69356/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=74.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000425646 [ 0.17 %]\n", + "Velocity : 0.00120876 [ 0.49 %]\n", + "Force : 0.0546209 [ 22.00 %]\n", + "Coefs : 0.0256972 [ 10.35 %]\n", + "Output : 0.00182008 [ 0.73 %]\n", + "Levels : 0.000196192 [ 0.08 %]\n", + "Report : 6.62e-07 [ 0.00 %]\n", + "Balance : 5.49e-07 [ 0.00 %]\n", + "Adjust : 0.164216 [ 66.13 %]\n", + "Total : 0.248319 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6173 682 220 40 12 11 4 \n", + "1 : 6184 685 202 35 15 10 11 \n", + "2 : 6232 688 175 26 8 8 5 \n", + "3 : 6193 700 179 36 10 11 13 \n", + "4 : 6199 646 226 37 14 10 10 \n", + "5 : 6220 648 192 47 15 12 8 \n", + "6 : 6211 695 171 39 9 9 8 \n", + "7 : 6269 609 202 36 10 10 6 \n", + "8 : 6205 684 206 26 8 5 8 \n", + "9 : 6210 661 206 35 12 8 10 \n", + "10 : 6269 619 187 33 14 10 10 \n", + "11 : 6223 674 184 38 7 8 8 \n", + "12 : 6216 654 196 48 10 11 7 \n", + "13 : 6197 654 221 48 19 11 4 \n", + "\n", + "T : 87001 9299 2767 524 163 134 112 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.1167e-03 sec\n", + "--- Collate = 9.6971e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.477810e-05 < 1.562500e-03 [59]\n", + "--- Max DT=3.710432e-01 > 1.000000e-01 [69340]\n", + "----------------------------------------------------------------------\n", + " Component | low: 59/100000\n", + " Component | high: 69340/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=74.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000479109 [ 0.19 %]\n", + "Velocity : 0.00142863 [ 0.57 %]\n", + "Force : 0.0541754 [ 21.53 %]\n", + "Coefs : 0.0257994 [ 10.25 %]\n", + "Output : 0.0020061 [ 0.80 %]\n", + "Levels : 0.000188119 [ 0.07 %]\n", + "Report : 1.016e-06 [ 0.00 %]\n", + "Balance : 3.84e-07 [ 0.00 %]\n", + "Adjust : 0.167368 [ 66.53 %]\n", + "Total : 0.251585 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6170 682 222 38 12 12 6 \n", + "1 : 6186 682 199 39 14 13 9 \n", + "2 : 6229 691 169 32 12 4 5 \n", + "3 : 6197 698 175 32 17 10 13 \n", + "4 : 6200 652 216 42 17 8 7 \n", + "5 : 6219 652 187 50 17 6 11 \n", + "6 : 6205 701 166 42 11 7 10 \n", + "7 : 6270 606 209 34 10 9 4 \n", + "8 : 6198 689 200 29 13 7 6 \n", + "9 : 6206 663 212 33 9 8 11 \n", + "10 : 6272 613 188 34 17 8 10 \n", + "11 : 6227 663 196 29 7 7 13 \n", + "12 : 6215 653 198 47 16 9 4 \n", + "13 : 6196 659 219 44 20 12 4 \n", + "\n", + "T : 86990 9304 2756 525 192 120 113 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.2823e-03 sec\n", + "--- Collate = 5.2830e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.940285e-05 < 1.562500e-03 [55]\n", + "--- Max DT=3.711754e-01 > 1.000000e-01 [69335]\n", + "----------------------------------------------------------------------\n", + " Component | low: 55/100000\n", + " Component | high: 69335/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=74.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000542726 [ 0.22 %]\n", + "Velocity : 0.00146101 [ 0.59 %]\n", + "Force : 0.053634 [ 21.77 %]\n", + "Coefs : 0.0255763 [ 10.38 %]\n", + "Output : 0.00198467 [ 0.81 %]\n", + "Levels : 0.000201424 [ 0.08 %]\n", + "Report : 7.87e-07 [ 0.00 %]\n", + "Balance : 3.16e-07 [ 0.00 %]\n", + "Adjust : 0.162846 [ 66.10 %]\n", + "Total : 0.246381 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6166 682 224 37 16 11 6 \n", + "1 : 6196 667 202 42 15 10 10 \n", + "2 : 6221 694 176 28 13 6 4 \n", + "3 : 6200 686 181 31 19 14 11 \n", + "4 : 6201 652 216 38 18 10 7 \n", + "5 : 6208 662 193 42 18 9 10 \n", + "6 : 6211 692 173 35 12 8 11 \n", + "7 : 6267 611 208 29 12 10 5 \n", + "8 : 6189 700 196 33 11 8 5 \n", + "9 : 6205 666 202 40 11 6 12 \n", + "10 : 6269 612 190 37 13 16 5 \n", + "11 : 6225 663 195 31 8 7 13 \n", + "12 : 6210 656 203 45 18 5 5 \n", + "13 : 6187 668 218 43 15 14 9 \n", + "\n", + "T : 86955 9311 2777 511 199 134 113 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.4612e-03 sec\n", + "--- Collate = 5.4276e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.058277e-05 < 1.562500e-03 [56]\n", + "--- Max DT=3.713014e-01 > 1.000000e-01 [69356]\n", + "----------------------------------------------------------------------\n", + " Component | low: 56/100000\n", + " Component | high: 69356/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=74.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000424464 [ 0.18 %]\n", + "Velocity : 0.00136877 [ 0.57 %]\n", + "Force : 0.0524542 [ 21.79 %]\n", + "Coefs : 0.0252417 [ 10.48 %]\n", + "Output : 0.0018384 [ 0.76 %]\n", + "Levels : 0.000214143 [ 0.09 %]\n", + "Report : 9.27e-07 [ 0.00 %]\n", + "Balance : 4.8e-07 [ 0.00 %]\n", + "Adjust : 0.159102 [ 66.08 %]\n", + "Total : 0.240778 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6155 691 223 43 13 6 11 \n", + "1 : 6194 664 205 43 17 9 10 \n", + "2 : 6217 696 178 26 14 7 4 \n", + "3 : 6194 684 186 34 14 16 14 \n", + "4 : 6203 653 205 46 13 15 7 \n", + "5 : 6206 663 190 45 21 8 9 \n", + "6 : 6207 693 172 40 12 7 11 \n", + "7 : 6276 596 213 31 13 6 7 \n", + "8 : 6185 702 198 30 15 4 8 \n", + "9 : 6205 661 209 38 10 10 9 \n", + "10 : 6268 607 196 40 13 9 9 \n", + "11 : 6228 656 198 33 6 10 11 \n", + "12 : 6205 658 206 46 14 6 7 \n", + "13 : 6172 689 212 39 19 9 14 \n", + "\n", + "T : 86915 9313 2791 534 194 122 131 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.2516e-03 sec\n", + "--- Collate = 5.1191e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.045043e-05 < 1.562500e-03 [66]\n", + "--- Max DT=3.714212e-01 > 1.000000e-01 [69347]\n", + "----------------------------------------------------------------------\n", + " Component | low: 66/100000\n", + " Component | high: 69347/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=74.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000413549 [ 0.17 %]\n", + "Velocity : 0.00123085 [ 0.50 %]\n", + "Force : 0.0532914 [ 21.77 %]\n", + "Coefs : 0.0265328 [ 10.84 %]\n", + "Output : 0.00181936 [ 0.74 %]\n", + "Levels : 0.000191421 [ 0.08 %]\n", + "Report : 9.05e-07 [ 0.00 %]\n", + "Balance : 4.92e-07 [ 0.00 %]\n", + "Adjust : 0.161189 [ 65.85 %]\n", + "Total : 0.2448 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6158 682 229 36 16 10 11 \n", + "1 : 6192 666 197 49 17 14 7 \n", + "2 : 6216 692 180 28 14 8 4 \n", + "3 : 6187 686 191 34 14 14 16 \n", + "4 : 6203 655 208 43 10 12 11 \n", + "5 : 6205 663 195 46 11 12 10 \n", + "6 : 6207 686 175 47 8 9 10 \n", + "7 : 6269 611 203 34 13 5 7 \n", + "8 : 6180 709 192 33 14 6 8 \n", + "9 : 6201 667 202 42 12 10 8 \n", + "10 : 6269 607 197 37 19 5 8 \n", + "11 : 6226 657 200 29 14 4 12 \n", + "12 : 6209 653 207 45 12 7 9 \n", + "13 : 6174 689 208 41 19 8 15 \n", + "\n", + "T : 86896 9323 2784 544 193 124 136 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.2450e-03 sec\n", + "--- Collate = 4.8628e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.105898e-05 < 1.562500e-03 [68]\n", + "--- Max DT=3.715352e-01 > 1.000000e-01 [69332]\n", + "----------------------------------------------------------------------\n", + " Component | low: 68/100000\n", + " Component | high: 69332/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=75] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000401068 [ 0.15 %]\n", + "Velocity : 0.00125321 [ 0.46 %]\n", + "Force : 0.0530844 [ 19.60 %]\n", + "Coefs : 0.0259478 [ 9.58 %]\n", + "Output : 0.0287739 [ 10.62 %]\n", + "Levels : 0.000204171 [ 0.08 %]\n", + "Report : 1.389e-06 [ 0.00 %]\n", + "Balance : 5.37e-07 [ 0.00 %]\n", + "Adjust : 0.161093 [ 59.47 %]\n", + "Total : 0.270897 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6153 680 234 36 18 9 12 \n", + "1 : 6182 673 199 56 13 8 11 \n", + "2 : 6214 697 176 36 8 4 7 \n", + "3 : 6186 684 193 36 19 9 15 \n", + "4 : 6198 662 207 40 15 3 17 \n", + "5 : 6201 667 195 44 14 11 10 \n", + "6 : 6211 680 172 51 14 6 8 \n", + "7 : 6264 613 207 37 9 4 8 \n", + "8 : 6181 699 199 36 10 9 8 \n", + "9 : 6199 669 203 43 10 9 9 \n", + "10 : 6268 609 199 35 12 13 6 \n", + "11 : 6229 649 200 34 16 8 6 \n", + "12 : 6209 655 206 41 13 8 10 \n", + "13 : 6170 692 208 42 19 10 13 \n", + "\n", + "T : 86865 9329 2798 567 190 111 140 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.9619e-03 sec\n", + "--- Collate = 7.1314e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.729464e-06 < 1.562500e-03 [53]\n", + "--- Max DT=3.716435e-01 > 1.000000e-01 [69339]\n", + "----------------------------------------------------------------------\n", + " Component | low: 53/100000\n", + " Component | high: 69339/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=75.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000395992 [ 0.16 %]\n", + "Velocity : 0.00159783 [ 0.65 %]\n", + "Force : 0.052967 [ 21.47 %]\n", + "Coefs : 0.025246 [ 10.23 %]\n", + "Output : 0.0021045 [ 0.85 %]\n", + "Levels : 0.000186826 [ 0.08 %]\n", + "Report : 9.9e-07 [ 0.00 %]\n", + "Balance : 4.3e-07 [ 0.00 %]\n", + "Adjust : 0.164067 [ 66.50 %]\n", + "Total : 0.2467 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6148 689 230 36 18 11 10 \n", + "1 : 6182 672 202 50 16 11 9 \n", + "2 : 6216 695 177 37 6 4 7 \n", + "3 : 6180 690 191 40 17 10 14 \n", + "4 : 6200 655 211 35 17 10 14 \n", + "5 : 6202 665 198 41 15 8 13 \n", + "6 : 6203 687 176 48 13 7 8 \n", + "7 : 6260 618 206 36 11 5 6 \n", + "8 : 6171 706 203 35 8 10 9 \n", + "9 : 6198 664 203 49 12 6 10 \n", + "10 : 6275 602 201 32 14 11 7 \n", + "11 : 6241 635 202 36 17 8 3 \n", + "12 : 6212 650 208 40 12 9 11 \n", + "13 : 6171 692 203 42 20 17 9 \n", + "\n", + "T : 86859 9320 2811 557 196 127 130 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 8.4766e-03 sec\n", + "--- Collate = 5.6890e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.924918e-06 < 1.562500e-03 [56]\n", + "--- Max DT=3.717462e-01 > 1.000000e-01 [69351]\n", + "----------------------------------------------------------------------\n", + " Component | low: 56/100000\n", + " Component | high: 69351/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=75.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000481487 [ 0.20 %]\n", + "Velocity : 0.00146415 [ 0.61 %]\n", + "Force : 0.0525277 [ 21.76 %]\n", + "Coefs : 0.0246448 [ 10.21 %]\n", + "Output : 0.00205504 [ 0.85 %]\n", + "Levels : 0.000182798 [ 0.08 %]\n", + "Report : 5.77e-07 [ 0.00 %]\n", + "Balance : 4e-07 [ 0.00 %]\n", + "Adjust : 0.15992 [ 66.24 %]\n", + "Total : 0.241409 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6143 691 228 43 13 12 12 \n", + "1 : 6180 678 198 53 11 11 11 \n", + "2 : 6212 700 176 33 10 4 7 \n", + "3 : 6175 696 193 39 10 19 10 \n", + "4 : 6196 654 213 35 16 17 11 \n", + "5 : 6202 662 202 44 12 10 10 \n", + "6 : 6205 681 182 45 13 8 8 \n", + "7 : 6253 626 203 38 11 7 4 \n", + "8 : 6166 708 202 39 12 7 8 \n", + "9 : 6192 669 198 50 16 9 8 \n", + "10 : 6271 607 202 32 11 11 8 \n", + "11 : 6238 634 205 38 16 7 4 \n", + "12 : 6204 656 212 37 13 10 10 \n", + "13 : 6167 690 206 38 29 17 7 \n", + "\n", + "T : 86804 9352 2820 564 193 149 118 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 8.3747e-03 sec\n", + "--- Collate = 5.5461e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.066064e-05 < 1.562500e-03 [60]\n", + "--- Max DT=3.718436e-01 > 1.000000e-01 [69357]\n", + "----------------------------------------------------------------------\n", + " Component | low: 60/100000\n", + " Component | high: 69357/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=75.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000408065 [ 0.17 %]\n", + "Velocity : 0.00125676 [ 0.52 %]\n", + "Force : 0.0538651 [ 22.19 %]\n", + "Coefs : 0.0258587 [ 10.65 %]\n", + "Output : 0.00168233 [ 0.69 %]\n", + "Levels : 0.000163433 [ 0.07 %]\n", + "Report : 8.91e-07 [ 0.00 %]\n", + "Balance : 3.87e-07 [ 0.00 %]\n", + "Adjust : 0.159341 [ 65.65 %]\n", + "Total : 0.24271 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6139 692 228 48 11 10 14 \n", + "1 : 6180 679 198 50 14 11 10 \n", + "2 : 6209 703 174 34 9 10 3 \n", + "3 : 6172 696 197 36 13 15 13 \n", + "4 : 6193 657 210 39 17 18 8 \n", + "5 : 6199 661 204 48 11 8 11 \n", + "6 : 6210 675 186 42 12 8 9 \n", + "7 : 6250 629 201 36 19 5 2 \n", + "8 : 6168 702 204 42 11 4 11 \n", + "9 : 6194 667 196 50 17 7 11 \n", + "10 : 6271 610 192 36 15 7 11 \n", + "11 : 6225 647 205 41 16 2 6 \n", + "12 : 6215 637 218 40 10 9 13 \n", + "13 : 6166 687 214 35 30 11 11 \n", + "\n", + "T : 86791 9342 2827 577 205 125 133 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.4843e-03 sec\n", + "--- Collate = 5.3971e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.417963e-06 < 1.562500e-03 [73]\n", + "--- Max DT=3.719354e-01 > 1.000000e-01 [69380]\n", + "----------------------------------------------------------------------\n", + " Component | low: 73/100000\n", + " Component | high: 69380/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=75.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000407569 [ 0.17 %]\n", + "Velocity : 0.00143758 [ 0.60 %]\n", + "Force : 0.0524627 [ 21.91 %]\n", + "Coefs : 0.0253484 [ 10.59 %]\n", + "Output : 0.00171246 [ 0.72 %]\n", + "Levels : 0.000157047 [ 0.07 %]\n", + "Report : 9.27e-07 [ 0.00 %]\n", + "Balance : 4.55e-07 [ 0.00 %]\n", + "Adjust : 0.157783 [ 65.90 %]\n", + "Total : 0.239442 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6136 695 234 45 13 4 15 \n", + "1 : 6179 678 200 47 19 7 12 \n", + "2 : 6209 702 174 32 10 10 5 \n", + "3 : 6171 694 205 32 18 8 14 \n", + "4 : 6188 658 214 39 23 9 11 \n", + "5 : 6204 653 203 50 17 5 10 \n", + "6 : 6210 678 175 49 11 7 12 \n", + "7 : 6245 626 211 37 15 5 3 \n", + "8 : 6164 706 203 42 13 6 8 \n", + "9 : 6184 678 197 52 12 9 10 \n", + "10 : 6271 610 194 33 17 6 11 \n", + "11 : 6225 648 201 46 15 0 7 \n", + "12 : 6206 646 219 38 10 8 15 \n", + "13 : 6156 694 218 39 24 10 13 \n", + "\n", + "T : 86748 9366 2848 581 217 94 146 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.4990e-03 sec\n", + "--- Collate = 5.8057e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.168728e-06 < 1.562500e-03 [65]\n", + "--- Max DT=3.720210e-01 > 1.000000e-01 [69362]\n", + "----------------------------------------------------------------------\n", + " Component | low: 65/100000\n", + " Component | high: 69362/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=75.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000375894 [ 0.15 %]\n", + "Velocity : 0.00141445 [ 0.57 %]\n", + "Force : 0.0536083 [ 21.72 %]\n", + "Coefs : 0.0255139 [ 10.34 %]\n", + "Output : 0.0018269 [ 0.74 %]\n", + "Levels : 0.000171626 [ 0.07 %]\n", + "Report : 8.54e-07 [ 0.00 %]\n", + "Balance : 3.91e-07 [ 0.00 %]\n", + "Adjust : 0.163751 [ 66.35 %]\n", + "Total : 0.246793 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6139 690 235 44 12 12 10 \n", + "1 : 6169 686 194 56 21 9 7 \n", + "2 : 6215 696 177 27 13 6 8 \n", + "3 : 6166 704 196 43 12 8 13 \n", + "4 : 6185 654 218 48 20 4 13 \n", + "5 : 6204 660 200 47 13 10 8 \n", + "6 : 6206 674 186 43 15 9 9 \n", + "7 : 6245 623 213 34 18 4 5 \n", + "8 : 6166 694 215 40 15 5 7 \n", + "9 : 6186 673 196 47 21 8 11 \n", + "10 : 6266 614 185 42 17 9 9 \n", + "11 : 6228 644 208 41 11 5 5 \n", + "12 : 6201 660 206 40 13 6 16 \n", + "13 : 6167 686 211 40 23 15 12 \n", + "\n", + "T : 86743 9358 2840 592 224 110 133 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 8.6409e-03 sec\n", + "--- Collate = 5.6367e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.556368e-06 < 1.562500e-03 [51]\n", + "--- Max DT=3.721004e-01 > 1.000000e-01 [69364]\n", + "----------------------------------------------------------------------\n", + " Component | low: 51/100000\n", + " Component | high: 69364/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=75.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000374448 [ 0.15 %]\n", + "Velocity : 0.00125603 [ 0.52 %]\n", + "Force : 0.0529122 [ 21.83 %]\n", + "Coefs : 0.0253655 [ 10.47 %]\n", + "Output : 0.00166054 [ 0.69 %]\n", + "Levels : 0.000221302 [ 0.09 %]\n", + "Report : 8.54e-07 [ 0.00 %]\n", + "Balance : 3.88e-07 [ 0.00 %]\n", + "Adjust : 0.160441 [ 66.20 %]\n", + "Total : 0.242364 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6144 690 230 46 14 12 6 \n", + "1 : 6161 685 199 59 19 12 7 \n", + "2 : 6205 700 182 31 9 5 10 \n", + "3 : 6168 698 191 49 17 11 8 \n", + "4 : 6183 656 214 58 15 8 8 \n", + "5 : 6211 649 203 51 10 7 11 \n", + "6 : 6202 664 201 44 15 6 10 \n", + "7 : 6240 629 205 41 13 9 5 \n", + "8 : 6163 696 213 45 14 6 5 \n", + "9 : 6186 675 197 43 21 9 11 \n", + "10 : 6258 617 195 42 13 9 8 \n", + "11 : 6226 639 208 49 9 8 3 \n", + "12 : 6198 665 203 48 8 6 14 \n", + "13 : 6163 685 218 45 18 12 13 \n", + "\n", + "T : 86708 9348 2859 651 195 120 119 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.1488e-03 sec\n", + "--- Collate = 5.8184e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.352704e-06 < 1.562500e-03 [43]\n", + "--- Max DT=3.721732e-01 > 1.000000e-01 [69339]\n", + "----------------------------------------------------------------------\n", + " Component | low: 43/100000\n", + " Component | high: 69339/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=75.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000430791 [ 0.18 %]\n", + "Velocity : 0.00119878 [ 0.50 %]\n", + "Force : 0.0523797 [ 21.73 %]\n", + "Coefs : 0.0251208 [ 10.42 %]\n", + "Output : 0.00185363 [ 0.77 %]\n", + "Levels : 0.000176088 [ 0.07 %]\n", + "Report : 8.24e-07 [ 0.00 %]\n", + "Balance : 5.33e-07 [ 0.00 %]\n", + "Adjust : 0.159796 [ 66.28 %]\n", + "Total : 0.24109 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6144 692 228 49 12 14 3 \n", + "1 : 6160 686 204 56 19 9 8 \n", + "2 : 6206 690 188 30 13 5 10 \n", + "3 : 6169 693 195 48 16 14 7 \n", + "4 : 6171 673 212 57 13 9 7 \n", + "5 : 6208 655 210 39 13 5 12 \n", + "6 : 6200 664 200 42 18 13 5 \n", + "7 : 6240 628 209 38 10 9 8 \n", + "8 : 6159 700 216 42 13 7 5 \n", + "9 : 6187 682 183 44 22 12 12 \n", + "10 : 6257 621 187 47 10 11 9 \n", + "11 : 6217 651 206 42 15 4 7 \n", + "12 : 6204 659 204 46 11 10 8 \n", + "13 : 6168 682 218 48 16 9 13 \n", + "\n", + "T : 86690 9376 2860 628 201 131 114 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.9367e-03 sec\n", + "--- Collate = 7.2913e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.797124e-05 < 1.562500e-03 [56]\n", + "--- Max DT=3.722401e-01 > 1.000000e-01 [69315]\n", + "----------------------------------------------------------------------\n", + " Component | low: 56/100000\n", + " Component | high: 69315/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=75.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000460165 [ 0.18 %]\n", + "Velocity : 0.00152791 [ 0.59 %]\n", + "Force : 0.0559147 [ 21.68 %]\n", + "Coefs : 0.0253158 [ 9.82 %]\n", + "Output : 0.00273334 [ 1.06 %]\n", + "Levels : 0.000248061 [ 0.10 %]\n", + "Report : 1.182e-06 [ 0.00 %]\n", + "Balance : 5.51e-07 [ 0.00 %]\n", + "Adjust : 0.171538 [ 66.51 %]\n", + "Total : 0.257902 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6140 691 228 56 10 11 6 \n", + "1 : 6160 679 210 59 18 8 8 \n", + "2 : 6203 687 194 31 12 9 6 \n", + "3 : 6166 697 190 55 13 14 7 \n", + "4 : 6168 675 217 54 15 7 6 \n", + "5 : 6204 659 204 43 15 10 7 \n", + "6 : 6197 663 199 47 21 7 8 \n", + "7 : 6235 633 205 37 13 9 10 \n", + "8 : 6151 702 223 40 14 6 6 \n", + "9 : 6188 686 181 41 21 13 12 \n", + "10 : 6249 623 187 52 9 10 12 \n", + "11 : 6210 659 209 40 11 5 8 \n", + "12 : 6201 661 205 46 14 9 6 \n", + "13 : 6167 680 220 44 20 12 11 \n", + "\n", + "T : 86639 9395 2872 645 206 130 113 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.0192e-03 sec\n", + "--- Collate = 6.1757e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.855228e-05 < 1.562500e-03 [64]\n", + "--- Max DT=3.723014e-01 > 1.000000e-01 [69288]\n", + "----------------------------------------------------------------------\n", + " Component | low: 64/100000\n", + " Component | high: 69288/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=75.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000622783 [ 0.24 %]\n", + "Velocity : 0.00182442 [ 0.72 %]\n", + "Force : 0.0560326 [ 22.04 %]\n", + "Coefs : 0.0256966 [ 10.11 %]\n", + "Output : 0.00231109 [ 0.91 %]\n", + "Levels : 0.000225945 [ 0.09 %]\n", + "Report : 1.136e-06 [ 0.00 %]\n", + "Balance : 4.17e-07 [ 0.00 %]\n", + "Adjust : 0.167354 [ 65.83 %]\n", + "Total : 0.254221 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6139 691 228 54 13 11 6 \n", + "1 : 6159 676 217 58 13 12 7 \n", + "2 : 6195 700 189 31 16 5 6 \n", + "3 : 6169 690 193 52 17 9 12 \n", + "4 : 6170 669 226 48 15 9 5 \n", + "5 : 6200 661 204 42 16 10 9 \n", + "6 : 6199 657 200 48 22 9 7 \n", + "7 : 6236 629 205 42 10 9 11 \n", + "8 : 6151 698 217 48 11 9 8 \n", + "9 : 6188 684 184 41 23 9 13 \n", + "10 : 6251 618 185 55 11 6 16 \n", + "11 : 6206 667 206 35 16 4 8 \n", + "12 : 6206 658 206 48 11 6 7 \n", + "13 : 6160 681 226 47 19 11 10 \n", + "\n", + "T : 86629 9379 2886 649 213 119 125 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 8.9267e-03 sec\n", + "--- Collate = 5.2265e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.351914e-05 < 1.562500e-03 [54]\n", + "--- Max DT=3.723571e-01 > 1.000000e-01 [69308]\n", + "----------------------------------------------------------------------\n", + " Component | low: 54/100000\n", + " Component | high: 69308/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=76] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000454854 [ 0.16 %]\n", + "Velocity : 0.00146029 [ 0.50 %]\n", + "Force : 0.0546746 [ 18.85 %]\n", + "Coefs : 0.0262986 [ 9.07 %]\n", + "Output : 0.0414273 [ 14.29 %]\n", + "Levels : 0.000212187 [ 0.07 %]\n", + "Report : 1.621e-06 [ 0.00 %]\n", + "Balance : 9.74e-07 [ 0.00 %]\n", + "Adjust : 0.165322 [ 57.01 %]\n", + "Total : 0.289987 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6143 684 227 56 14 7 11 \n", + "1 : 6156 682 214 58 15 8 9 \n", + "2 : 6187 703 192 35 12 7 6 \n", + "3 : 6178 680 191 56 12 8 17 \n", + "4 : 6171 672 221 54 12 4 8 \n", + "5 : 6204 658 199 43 20 8 10 \n", + "6 : 6205 646 206 48 19 6 12 \n", + "7 : 6238 626 209 40 7 9 13 \n", + "8 : 6151 694 224 38 15 12 8 \n", + "9 : 6190 683 179 50 17 12 11 \n", + "10 : 6250 617 194 47 11 9 14 \n", + "11 : 6201 674 202 38 11 12 4 \n", + "12 : 6201 661 204 58 7 4 7 \n", + "13 : 6158 679 234 44 21 12 6 \n", + "\n", + "T : 86633 9359 2896 665 193 118 136 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.5104e-03 sec\n", + "--- Collate = 6.4483e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.292672e-06 < 1.562500e-03 [72]\n", + "--- Max DT=3.724083e-01 > 1.000000e-01 [69279]\n", + "----------------------------------------------------------------------\n", + " Component | low: 72/100000\n", + " Component | high: 69279/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=76.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00106625 [ 0.39 %]\n", + "Velocity : 0.00313909 [ 1.16 %]\n", + "Force : 0.0579225 [ 21.36 %]\n", + "Coefs : 0.0260591 [ 9.61 %]\n", + "Output : 0.00499774 [ 1.84 %]\n", + "Levels : 0.000261179 [ 0.10 %]\n", + "Report : 7.25e-07 [ 0.00 %]\n", + "Balance : 3.83e-07 [ 0.00 %]\n", + "Adjust : 0.177535 [ 65.47 %]\n", + "Total : 0.271155 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6140 684 229 54 13 12 10 \n", + "1 : 6149 689 212 57 14 11 10 \n", + "2 : 6186 705 187 37 12 9 6 \n", + "3 : 6169 685 197 52 12 14 13 \n", + "4 : 6178 661 232 40 17 4 10 \n", + "5 : 6205 661 191 44 21 11 9 \n", + "6 : 6200 652 207 48 15 9 11 \n", + "7 : 6238 622 215 36 10 10 11 \n", + "8 : 6151 695 223 37 14 10 12 \n", + "9 : 6190 681 185 43 22 10 11 \n", + "10 : 6244 621 195 46 12 12 12 \n", + "11 : 6201 675 201 40 11 9 5 \n", + "12 : 6198 664 203 58 6 8 5 \n", + "13 : 6154 673 243 51 11 13 9 \n", + "\n", + "T : 86603 9368 2920 643 190 142 134 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.5172e-03 sec\n", + "--- Collate = 6.2306e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.992985e-05 < 1.562500e-03 [60]\n", + "--- Max DT=3.724810e-01 > 1.000000e-01 [69284]\n", + "----------------------------------------------------------------------\n", + " Component | low: 60/100000\n", + " Component | high: 69284/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=76.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0010195 [ 0.39 %]\n", + "Velocity : 0.00285414 [ 1.08 %]\n", + "Force : 0.0569085 [ 21.61 %]\n", + "Coefs : 0.0250619 [ 9.52 %]\n", + "Output : 0.00477293 [ 1.81 %]\n", + "Levels : 0.000237364 [ 0.09 %]\n", + "Report : 6.38e-07 [ 0.00 %]\n", + "Balance : 3.8e-07 [ 0.00 %]\n", + "Adjust : 0.172346 [ 65.44 %]\n", + "Total : 0.263371 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6141 681 228 51 19 9 13 \n", + "1 : 6148 694 207 56 15 13 9 \n", + "2 : 6192 696 187 39 10 10 8 \n", + "3 : 6164 690 199 46 17 17 9 \n", + "4 : 6184 654 228 39 18 11 8 \n", + "5 : 6206 660 188 53 16 9 10 \n", + "6 : 6202 647 211 47 14 10 11 \n", + "7 : 6243 617 212 36 19 6 9 \n", + "8 : 6140 706 218 42 13 9 14 \n", + "9 : 6196 665 183 57 18 16 7 \n", + "10 : 6244 620 197 41 19 12 9 \n", + "11 : 6197 675 201 43 14 4 8 \n", + "12 : 6195 667 207 49 12 5 7 \n", + "13 : 6151 677 241 54 13 7 11 \n", + "\n", + "T : 86603 9349 2907 653 217 138 133 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.4252e-03 sec\n", + "--- Collate = 6.2455e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.845201e-05 < 1.562500e-03 [67]\n", + "--- Max DT=3.726926e-01 > 1.000000e-01 [69251]\n", + "----------------------------------------------------------------------\n", + " Component | low: 67/100000\n", + " Component | high: 69251/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=76.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00100471 [ 0.38 %]\n", + "Velocity : 0.00290763 [ 1.10 %]\n", + "Force : 0.0582852 [ 21.97 %]\n", + "Coefs : 0.0249257 [ 9.39 %]\n", + "Output : 0.00479134 [ 1.81 %]\n", + "Levels : 0.000295138 [ 0.11 %]\n", + "Report : 6.74e-07 [ 0.00 %]\n", + "Balance : 3.73e-07 [ 0.00 %]\n", + "Adjust : 0.172968 [ 65.18 %]\n", + "Total : 0.265351 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6146 675 227 52 17 14 11 \n", + "1 : 6134 705 208 57 18 7 13 \n", + "2 : 6189 703 176 39 14 12 9 \n", + "3 : 6165 688 200 48 17 11 13 \n", + "4 : 6179 658 230 38 17 9 11 \n", + "5 : 6200 658 197 47 19 12 9 \n", + "6 : 6201 650 210 47 12 14 8 \n", + "7 : 6243 620 206 37 22 10 4 \n", + "8 : 6142 705 213 46 15 4 17 \n", + "9 : 6194 664 184 61 22 7 10 \n", + "10 : 6240 625 195 40 25 8 9 \n", + "11 : 6192 685 201 37 16 4 7 \n", + "12 : 6192 670 203 48 16 6 7 \n", + "13 : 6146 680 244 50 16 5 13 \n", + "\n", + "T : 86563 9386 2894 647 246 123 141 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 7.9503e-03 sec\n", + "--- Collate = 5.7312e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.029873e-05 < 1.562500e-03 [72]\n", + "--- Max DT=3.735877e-01 > 1.000000e-01 [69252]\n", + "----------------------------------------------------------------------\n", + " Component | low: 72/100000\n", + " Component | high: 69252/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=76.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00101948 [ 0.40 %]\n", + "Velocity : 0.00266934 [ 1.04 %]\n", + "Force : 0.0552164 [ 21.53 %]\n", + "Coefs : 0.0250418 [ 9.77 %]\n", + "Output : 0.00464734 [ 1.81 %]\n", + "Levels : 0.000239551 [ 0.09 %]\n", + "Report : 6.03e-07 [ 0.00 %]\n", + "Balance : 4.07e-07 [ 0.00 %]\n", + "Adjust : 0.167425 [ 65.29 %]\n", + "Total : 0.256442 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6144 674 227 53 17 18 9 \n", + "1 : 6132 699 221 50 18 11 11 \n", + "2 : 6186 704 182 32 16 10 12 \n", + "3 : 6165 684 205 47 21 7 13 \n", + "4 : 6184 651 237 33 17 7 13 \n", + "5 : 6194 665 197 45 19 12 10 \n", + "6 : 6196 652 209 50 16 8 11 \n", + "7 : 6240 621 209 38 21 5 8 \n", + "8 : 6140 709 212 47 9 12 13 \n", + "9 : 6190 672 185 57 19 6 13 \n", + "10 : 6241 619 202 39 25 8 8 \n", + "11 : 6193 685 198 41 12 7 6 \n", + "12 : 6194 668 202 43 19 9 7 \n", + "13 : 6145 679 244 51 14 10 11 \n", + "\n", + "T : 86544 9382 2930 626 243 130 145 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.1931e-03 sec\n", + "--- Collate = 5.0789e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.599211e-05 < 1.562500e-03 [71]\n", + "--- Max DT=3.744689e-01 > 1.000000e-01 [69215]\n", + "----------------------------------------------------------------------\n", + " Component | low: 71/100000\n", + " Component | high: 69215/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=76.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00092084 [ 0.36 %]\n", + "Velocity : 0.00267613 [ 1.04 %]\n", + "Force : 0.0557259 [ 21.58 %]\n", + "Coefs : 0.0250216 [ 9.69 %]\n", + "Output : 0.00460835 [ 1.78 %]\n", + "Levels : 0.000241811 [ 0.09 %]\n", + "Report : 7.76e-07 [ 0.00 %]\n", + "Balance : 3.28e-07 [ 0.00 %]\n", + "Adjust : 0.168901 [ 65.40 %]\n", + "Total : 0.258261 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6137 679 229 51 20 12 14 \n", + "1 : 6134 696 216 58 15 11 12 \n", + "2 : 6180 706 183 32 16 13 12 \n", + "3 : 6165 678 214 46 18 8 13 \n", + "4 : 6194 641 235 37 16 5 14 \n", + "5 : 6193 659 202 49 19 13 7 \n", + "6 : 6188 662 209 47 19 7 10 \n", + "7 : 6240 617 210 41 19 9 6 \n", + "8 : 6149 696 216 45 13 12 11 \n", + "9 : 6185 680 176 61 16 12 12 \n", + "10 : 6234 628 199 38 17 20 6 \n", + "11 : 6201 680 197 37 12 10 5 \n", + "12 : 6186 669 208 44 18 8 9 \n", + "13 : 6145 674 244 54 13 16 8 \n", + "\n", + "T : 86531 9365 2938 640 231 156 139 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.0441e-03 sec\n", + "--- Collate = 5.6570e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.553654e-05 < 1.562500e-03 [68]\n", + "--- Max DT=3.753195e-01 > 1.000000e-01 [69206]\n", + "----------------------------------------------------------------------\n", + " Component | low: 68/100000\n", + " Component | high: 69206/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=76.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000912266 [ 0.36 %]\n", + "Velocity : 0.00256139 [ 1.01 %]\n", + "Force : 0.0554841 [ 21.78 %]\n", + "Coefs : 0.0247898 [ 9.73 %]\n", + "Output : 0.00458214 [ 1.80 %]\n", + "Levels : 0.000272229 [ 0.11 %]\n", + "Report : 9.1e-07 [ 0.00 %]\n", + "Balance : 3.91e-07 [ 0.00 %]\n", + "Adjust : 0.165985 [ 65.15 %]\n", + "Total : 0.254771 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6136 681 228 50 19 12 16 \n", + "1 : 6130 699 213 60 19 6 15 \n", + "2 : 6177 710 181 32 15 12 15 \n", + "3 : 6155 688 215 47 18 9 10 \n", + "4 : 6189 647 235 36 18 5 12 \n", + "5 : 6197 657 201 51 18 5 13 \n", + "6 : 6177 675 206 47 20 8 9 \n", + "7 : 6220 643 203 46 14 8 8 \n", + "8 : 6148 688 221 46 21 10 8 \n", + "9 : 6189 674 184 54 15 14 12 \n", + "10 : 6225 635 201 40 14 17 10 \n", + "11 : 6194 688 194 39 12 10 5 \n", + "12 : 6176 683 209 40 16 10 8 \n", + "13 : 6153 670 244 50 17 8 12 \n", + "\n", + "T : 86466 9438 2935 638 236 134 153 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.5060e-03 sec\n", + "--- Collate = 5.7414e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.265732e-06 < 1.562500e-03 [72]\n", + "--- Max DT=3.761614e-01 > 1.000000e-01 [69221]\n", + "----------------------------------------------------------------------\n", + " Component | low: 72/100000\n", + " Component | high: 69221/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=76.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000930018 [ 0.36 %]\n", + "Velocity : 0.00264948 [ 1.02 %]\n", + "Force : 0.0557702 [ 21.54 %]\n", + "Coefs : 0.024906 [ 9.62 %]\n", + "Output : 0.00465438 [ 1.80 %]\n", + "Levels : 0.000282118 [ 0.11 %]\n", + "Report : 6.54e-07 [ 0.00 %]\n", + "Balance : 4.39e-07 [ 0.00 %]\n", + "Adjust : 0.169578 [ 65.49 %]\n", + "Total : 0.25894 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6141 679 226 51 19 9 17 \n", + "1 : 6122 706 210 62 20 11 11 \n", + "2 : 6170 714 184 33 15 10 16 \n", + "3 : 6145 696 220 44 18 9 10 \n", + "4 : 6193 648 228 38 20 10 5 \n", + "5 : 6202 652 204 49 16 5 14 \n", + "6 : 6176 678 200 48 22 10 8 \n", + "7 : 6213 647 204 40 21 9 8 \n", + "8 : 6139 691 221 51 22 9 9 \n", + "9 : 6188 669 191 55 17 12 10 \n", + "10 : 6219 638 202 40 22 5 16 \n", + "11 : 6193 688 194 36 18 5 8 \n", + "12 : 6172 689 208 37 19 6 11 \n", + "13 : 6148 670 245 54 18 9 10 \n", + "\n", + "T : 86421 9465 2937 638 267 119 153 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.4375e-03 sec\n", + "--- Collate = 6.3697e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.346146e-07 < 1.562500e-03 [68]\n", + "--- Max DT=3.769946e-01 > 1.000000e-01 [69198]\n", + "----------------------------------------------------------------------\n", + " Component | low: 68/100000\n", + " Component | high: 69198/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=76.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00102115 [ 0.39 %]\n", + "Velocity : 0.00271928 [ 1.04 %]\n", + "Force : 0.0561462 [ 21.45 %]\n", + "Coefs : 0.0247904 [ 9.47 %]\n", + "Output : 0.004826 [ 1.84 %]\n", + "Levels : 0.000238275 [ 0.09 %]\n", + "Report : 7.24e-07 [ 0.00 %]\n", + "Balance : 3.34e-07 [ 0.00 %]\n", + "Adjust : 0.171895 [ 65.66 %]\n", + "Total : 0.261809 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6135 687 227 49 21 11 12 \n", + "1 : 6119 718 196 66 19 12 12 \n", + "2 : 6174 713 179 38 14 13 11 \n", + "3 : 6142 689 226 50 17 13 5 \n", + "4 : 6185 659 224 42 15 15 2 \n", + "5 : 6202 648 207 48 14 12 11 \n", + "6 : 6168 693 187 52 20 13 9 \n", + "7 : 6206 656 200 39 19 14 8 \n", + "8 : 6142 687 226 49 18 13 7 \n", + "9 : 6183 676 191 51 23 9 9 \n", + "10 : 6219 639 201 38 18 10 17 \n", + "11 : 6195 693 182 44 14 6 8 \n", + "12 : 6168 698 203 35 17 12 9 \n", + "13 : 6152 665 250 50 19 9 9 \n", + "\n", + "T : 86390 9521 2899 651 248 162 129 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.3877e-03 sec\n", + "--- Collate = 6.8674e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.946517e-05 < 1.562500e-03 [54]\n", + "--- Max DT=3.778190e-01 > 1.000000e-01 [69184]\n", + "----------------------------------------------------------------------\n", + " Component | low: 54/100000\n", + " Component | high: 69184/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=76.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00101914 [ 0.39 %]\n", + "Velocity : 0.00280396 [ 1.06 %]\n", + "Force : 0.0588952 [ 22.33 %]\n", + "Coefs : 0.0250238 [ 9.49 %]\n", + "Output : 0.0049747 [ 1.89 %]\n", + "Levels : 0.000247274 [ 0.09 %]\n", + "Report : 6.35e-07 [ 0.00 %]\n", + "Balance : 3.63e-07 [ 0.00 %]\n", + "Adjust : 0.170556 [ 64.67 %]\n", + "Total : 0.263721 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6137 686 229 42 24 13 11 \n", + "1 : 6118 711 203 71 15 11 13 \n", + "2 : 6171 712 181 38 20 8 12 \n", + "3 : 6139 689 220 56 21 8 9 \n", + "4 : 6184 662 221 45 17 6 7 \n", + "5 : 6203 661 195 48 13 14 8 \n", + "6 : 6168 693 190 49 18 10 14 \n", + "7 : 6204 653 202 43 16 17 7 \n", + "8 : 6148 683 228 42 17 13 11 \n", + "9 : 6177 681 191 53 23 11 6 \n", + "10 : 6213 645 201 32 22 17 12 \n", + "11 : 6203 674 194 43 15 6 7 \n", + "12 : 6163 696 209 39 16 10 9 \n", + "13 : 6148 673 248 49 15 16 5 \n", + "\n", + "T : 86376 9519 2912 650 252 160 131 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 7.9392e-03 sec\n", + "--- Collate = 7.2093e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.299184e-05 < 1.562500e-03 [69]\n", + "--- Max DT=3.786344e-01 > 1.000000e-01 [69167]\n", + "----------------------------------------------------------------------\n", + " Component | low: 69/100000\n", + " Component | high: 69167/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=77] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00102777 [ 0.34 %]\n", + "Velocity : 0.00275488 [ 0.90 %]\n", + "Force : 0.0559414 [ 18.33 %]\n", + "Coefs : 0.0251987 [ 8.26 %]\n", + "Output : 0.0505324 [ 16.56 %]\n", + "Levels : 0.000283153 [ 0.09 %]\n", + "Report : 7.92e-07 [ 0.00 %]\n", + "Balance : 6.69e-07 [ 0.00 %]\n", + "Adjust : 0.169203 [ 55.46 %]\n", + "Total : 0.305115 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6132 695 227 41 24 11 12 \n", + "1 : 6112 724 194 70 20 10 12 \n", + "2 : 6171 712 178 40 20 12 9 \n", + "3 : 6144 683 224 48 23 9 11 \n", + "4 : 6187 663 215 47 14 4 12 \n", + "5 : 6204 664 193 46 14 13 8 \n", + "6 : 6165 695 188 52 16 12 14 \n", + "7 : 6198 659 201 43 17 11 13 \n", + "8 : 6146 686 230 39 17 10 14 \n", + "9 : 6179 677 194 55 19 12 6 \n", + "10 : 6203 657 201 32 23 14 12 \n", + "11 : 6199 672 195 51 8 12 5 \n", + "12 : 6156 705 208 39 18 7 9 \n", + "13 : 6143 682 240 53 14 10 12 \n", + "\n", + "T : 86339 9574 2888 656 247 147 149 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.1777e-03 sec\n", + "--- Collate = 6.2560e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.204472e-06 < 1.562500e-03 [68]\n", + "--- Max DT=3.794403e-01 > 1.000000e-01 [69171]\n", + "----------------------------------------------------------------------\n", + " Component | low: 68/100000\n", + " Component | high: 69171/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=77.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000938495 [ 0.35 %]\n", + "Velocity : 0.00294016 [ 1.11 %]\n", + "Force : 0.0562235 [ 21.21 %]\n", + "Coefs : 0.025789 [ 9.73 %]\n", + "Output : 0.00491604 [ 1.85 %]\n", + "Levels : 0.000326941 [ 0.12 %]\n", + "Report : 8.35e-07 [ 0.00 %]\n", + "Balance : 3.78e-07 [ 0.00 %]\n", + "Adjust : 0.173789 [ 65.56 %]\n", + "Total : 0.265087 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6135 692 227 45 20 12 11 \n", + "1 : 6112 719 203 65 17 14 12 \n", + "2 : 6176 705 180 39 20 14 8 \n", + "3 : 6142 687 222 47 19 14 11 \n", + "4 : 6198 651 217 44 15 6 11 \n", + "5 : 6204 661 196 47 12 11 11 \n", + "6 : 6170 692 187 49 12 18 14 \n", + "7 : 6197 660 204 40 19 9 13 \n", + "8 : 6149 679 237 36 15 10 16 \n", + "9 : 6179 675 196 55 18 11 8 \n", + "10 : 6201 659 201 33 25 12 11 \n", + "11 : 6189 679 194 51 15 7 7 \n", + "12 : 6152 711 204 39 19 8 9 \n", + "13 : 6152 673 236 57 13 10 13 \n", + "\n", + "T : 86356 9543 2904 647 239 156 155 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 7.7644e-03 sec\n", + "--- Collate = 5.3483e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.030867e-06 < 1.562500e-03 [77]\n", + "--- Max DT=3.802369e-01 > 1.000000e-01 [69156]\n", + "----------------------------------------------------------------------\n", + " Component | low: 77/100000\n", + " Component | high: 69156/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=77.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00100511 [ 0.38 %]\n", + "Velocity : 0.00276246 [ 1.05 %]\n", + "Force : 0.0568339 [ 21.67 %]\n", + "Coefs : 0.0248402 [ 9.47 %]\n", + "Output : 0.00481697 [ 1.84 %]\n", + "Levels : 0.000270632 [ 0.10 %]\n", + "Report : 4.21e-07 [ 0.00 %]\n", + "Balance : 3.06e-07 [ 0.00 %]\n", + "Adjust : 0.17155 [ 65.42 %]\n", + "Total : 0.262242 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6127 696 238 45 16 9 11 \n", + "1 : 6105 731 203 60 18 13 12 \n", + "2 : 6168 708 188 40 16 11 11 \n", + "3 : 6138 693 223 45 14 18 11 \n", + "4 : 6201 641 219 44 15 13 9 \n", + "5 : 6202 660 197 52 11 8 12 \n", + "6 : 6169 689 190 49 19 12 14 \n", + "7 : 6192 666 204 37 18 13 12 \n", + "8 : 6153 679 231 37 14 16 12 \n", + "9 : 6173 682 199 52 18 7 11 \n", + "10 : 6193 666 198 40 25 9 11 \n", + "11 : 6183 680 203 45 17 8 6 \n", + "12 : 6159 707 196 46 18 8 8 \n", + "13 : 6148 677 235 57 12 8 17 \n", + "\n", + "T : 86311 9575 2924 649 231 153 157 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.9%\n", + "--- Update = 8.2529e-03 sec\n", + "--- Collate = 5.6602e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.976106e-06 < 1.562500e-03 [79]\n", + "--- Max DT=3.810242e-01 > 1.000000e-01 [69171]\n", + "----------------------------------------------------------------------\n", + " Component | low: 79/100000\n", + " Component | high: 69171/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=77.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000928179 [ 0.34 %]\n", + "Velocity : 0.00270278 [ 1.00 %]\n", + "Force : 0.0572316 [ 21.11 %]\n", + "Coefs : 0.0272746 [ 10.06 %]\n", + "Output : 0.00498538 [ 1.84 %]\n", + "Levels : 0.00029857 [ 0.11 %]\n", + "Report : 6.11e-07 [ 0.00 %]\n", + "Balance : 3.12e-07 [ 0.00 %]\n", + "Adjust : 0.177493 [ 65.48 %]\n", + "Total : 0.271081 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6129 685 244 45 16 13 10 \n", + "1 : 6101 729 214 59 16 12 11 \n", + "2 : 6175 700 186 44 13 9 15 \n", + "3 : 6132 693 227 48 13 13 16 \n", + "4 : 6200 635 222 49 14 10 12 \n", + "5 : 6186 677 194 53 12 9 11 \n", + "6 : 6175 673 200 48 19 13 14 \n", + "7 : 6196 661 205 37 19 14 10 \n", + "8 : 6151 682 227 40 16 17 9 \n", + "9 : 6164 687 207 45 20 8 11 \n", + "10 : 6198 664 191 51 19 10 9 \n", + "11 : 6184 679 204 48 14 5 8 \n", + "12 : 6163 696 200 46 18 8 11 \n", + "13 : 6152 669 243 54 13 5 18 \n", + "\n", + "T : 86306 9530 2964 667 222 146 165 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 7.8713e-03 sec\n", + "--- Collate = 6.4627e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.994025e-06 < 1.562500e-03 [84]\n", + "--- Max DT=3.818041e-01 > 1.000000e-01 [69184]\n", + "----------------------------------------------------------------------\n", + " Component | low: 84/100000\n", + " Component | high: 69184/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=77.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00100981 [ 0.38 %]\n", + "Velocity : 0.00288677 [ 1.09 %]\n", + "Force : 0.0569094 [ 21.40 %]\n", + "Coefs : 0.0249365 [ 9.38 %]\n", + "Output : 0.00498817 [ 1.88 %]\n", + "Levels : 0.000284849 [ 0.11 %]\n", + "Report : 5.26e-07 [ 0.00 %]\n", + "Balance : 3.56e-07 [ 0.00 %]\n", + "Adjust : 0.174791 [ 65.72 %]\n", + "Total : 0.265968 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6135 684 240 44 15 8 16 \n", + "1 : 6096 728 225 49 19 13 12 \n", + "2 : 6168 703 188 45 11 10 17 \n", + "3 : 6123 704 225 51 11 14 14 \n", + "4 : 6192 651 220 39 20 7 13 \n", + "5 : 6181 682 197 47 15 11 9 \n", + "6 : 6177 671 204 42 16 19 13 \n", + "7 : 6190 667 201 43 21 9 11 \n", + "8 : 6148 680 235 38 17 11 13 \n", + "9 : 6165 679 221 38 19 11 9 \n", + "10 : 6198 664 191 53 17 11 8 \n", + "11 : 6187 672 213 38 18 6 8 \n", + "12 : 6158 699 195 52 15 14 9 \n", + "13 : 6141 686 238 52 12 11 14 \n", + "\n", + "T : 86259 9570 2993 631 226 155 166 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.2242e-03 sec\n", + "--- Collate = 5.9348e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.848161e-06 < 1.562500e-03 [70]\n", + "--- Max DT=3.825771e-01 > 1.000000e-01 [69186]\n", + "----------------------------------------------------------------------\n", + " Component | low: 70/100000\n", + " Component | high: 69186/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=77.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000930711 [ 0.34 %]\n", + "Velocity : 0.0026407 [ 0.97 %]\n", + "Force : 0.0575452 [ 21.21 %]\n", + "Coefs : 0.0261363 [ 9.63 %]\n", + "Output : 0.0048525 [ 1.79 %]\n", + "Levels : 0.000234996 [ 0.09 %]\n", + "Report : 5.35e-07 [ 0.00 %]\n", + "Balance : 2.9e-07 [ 0.00 %]\n", + "Adjust : 0.178836 [ 65.90 %]\n", + "Total : 0.27136 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6128 688 241 50 13 8 14 \n", + "1 : 6095 723 224 58 17 7 18 \n", + "2 : 6166 701 195 39 14 12 15 \n", + "3 : 6123 709 215 54 15 10 16 \n", + "4 : 6194 648 219 38 16 15 12 \n", + "5 : 6188 676 195 46 19 7 11 \n", + "6 : 6175 673 201 47 19 11 16 \n", + "7 : 6185 673 195 49 24 8 8 \n", + "8 : 6150 675 238 44 11 9 15 \n", + "9 : 6164 678 228 35 13 13 11 \n", + "10 : 6204 655 191 55 20 11 6 \n", + "11 : 6187 675 208 41 17 5 9 \n", + "12 : 6158 698 192 53 20 12 9 \n", + "13 : 6146 677 239 48 22 8 14 \n", + "\n", + "T : 86263 9549 2981 657 240 136 174 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.1790e-03 sec\n", + "--- Collate = 5.5816e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.102780e-06 < 1.562500e-03 [79]\n", + "--- Max DT=3.833437e-01 > 1.000000e-01 [69173]\n", + "----------------------------------------------------------------------\n", + " Component | low: 79/100000\n", + " Component | high: 69173/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=77.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00103768 [ 0.39 %]\n", + "Velocity : 0.00290868 [ 1.09 %]\n", + "Force : 0.0571401 [ 21.51 %]\n", + "Coefs : 0.0250694 [ 9.44 %]\n", + "Output : 0.00488664 [ 1.84 %]\n", + "Levels : 0.000233873 [ 0.09 %]\n", + "Report : 5.83e-07 [ 0.00 %]\n", + "Balance : 3.13e-07 [ 0.00 %]\n", + "Adjust : 0.174222 [ 65.58 %]\n", + "Total : 0.265661 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6124 692 234 51 19 11 11 \n", + "1 : 6092 724 228 51 18 15 14 \n", + "2 : 6169 694 199 37 16 11 16 \n", + "3 : 6121 713 218 49 21 10 10 \n", + "4 : 6189 653 216 38 17 17 12 \n", + "5 : 6183 674 198 52 17 8 10 \n", + "6 : 6183 668 203 45 17 13 13 \n", + "7 : 6175 680 193 58 17 9 10 \n", + "8 : 6153 670 236 44 17 8 14 \n", + "9 : 6171 667 236 31 16 9 12 \n", + "10 : 6204 650 197 57 19 9 6 \n", + "11 : 6184 678 212 38 16 9 5 \n", + "12 : 6157 699 194 53 19 11 9 \n", + "13 : 6144 680 231 54 23 13 9 \n", + "\n", + "T : 86249 9542 2995 658 252 153 151 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.0890e-03 sec\n", + "--- Collate = 6.3319e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.907673e-05 < 1.562500e-03 [72]\n", + "--- Max DT=3.841039e-01 > 1.000000e-01 [69179]\n", + "----------------------------------------------------------------------\n", + " Component | low: 72/100000\n", + " Component | high: 69179/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=77.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00101485 [ 0.38 %]\n", + "Velocity : 0.00300645 [ 1.11 %]\n", + "Force : 0.0573609 [ 21.20 %]\n", + "Coefs : 0.0267837 [ 9.90 %]\n", + "Output : 0.00464243 [ 1.72 %]\n", + "Levels : 0.000233736 [ 0.09 %]\n", + "Report : 3.82e-07 [ 0.00 %]\n", + "Balance : 3.19e-07 [ 0.00 %]\n", + "Adjust : 0.177344 [ 65.55 %]\n", + "Total : 0.270545 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6122 694 233 51 20 13 9 \n", + "1 : 6090 726 228 53 16 10 19 \n", + "2 : 6170 689 203 35 20 12 13 \n", + "3 : 6127 711 217 46 22 12 7 \n", + "4 : 6191 653 211 40 20 10 17 \n", + "5 : 6190 662 199 56 13 12 10 \n", + "6 : 6176 672 202 52 16 9 15 \n", + "7 : 6174 676 195 58 17 12 10 \n", + "8 : 6146 676 234 48 13 15 10 \n", + "9 : 6171 671 232 35 9 10 14 \n", + "10 : 6200 649 205 58 17 6 7 \n", + "11 : 6186 682 206 41 12 10 5 \n", + "12 : 6158 696 190 61 20 8 9 \n", + "13 : 6143 674 238 54 23 14 8 \n", + "\n", + "T : 86244 9531 2993 688 238 153 153 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.1980e-03 sec\n", + "--- Collate = 6.4567e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.036428e-05 < 1.562500e-03 [74]\n", + "--- Max DT=3.848568e-01 > 1.000000e-01 [69171]\n", + "----------------------------------------------------------------------\n", + " Component | low: 74/100000\n", + " Component | high: 69171/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=77.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000931979 [ 0.33 %]\n", + "Velocity : 0.00293897 [ 1.05 %]\n", + "Force : 0.0589402 [ 21.15 %]\n", + "Coefs : 0.0275355 [ 9.88 %]\n", + "Output : 0.00495021 [ 1.78 %]\n", + "Levels : 0.000275555 [ 0.10 %]\n", + "Report : 5.87e-07 [ 0.00 %]\n", + "Balance : 3.31e-07 [ 0.00 %]\n", + "Adjust : 0.182918 [ 65.64 %]\n", + "Total : 0.278656 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6122 692 234 49 20 16 9 \n", + "1 : 6087 733 221 54 18 18 11 \n", + "2 : 6165 688 208 38 17 12 14 \n", + "3 : 6123 704 227 53 11 17 7 \n", + "4 : 6182 664 204 41 21 14 16 \n", + "5 : 6184 669 201 47 17 15 9 \n", + "6 : 6172 679 201 51 12 14 13 \n", + "7 : 6166 678 198 60 15 13 12 \n", + "8 : 6142 680 235 43 15 12 15 \n", + "9 : 6167 672 235 35 10 10 13 \n", + "10 : 6199 639 218 58 13 7 8 \n", + "11 : 6184 681 209 41 14 8 5 \n", + "12 : 6153 697 199 55 22 6 10 \n", + "13 : 6135 679 237 58 18 19 8 \n", + "\n", + "T : 86181 9555 3027 683 223 181 150 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 1.0404e-02 sec\n", + "--- Collate = 5.3244e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.176289e-06 < 1.562500e-03 [77]\n", + "--- Max DT=3.856022e-01 > 1.000000e-01 [69158]\n", + "----------------------------------------------------------------------\n", + " Component | low: 77/100000\n", + " Component | high: 69158/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=77.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00105335 [ 0.39 %]\n", + "Velocity : 0.0029187 [ 1.07 %]\n", + "Force : 0.0573605 [ 20.99 %]\n", + "Coefs : 0.025235 [ 9.23 %]\n", + "Output : 0.00508496 [ 1.86 %]\n", + "Levels : 0.000260175 [ 0.10 %]\n", + "Report : 5.79e-07 [ 0.00 %]\n", + "Balance : 3.97e-07 [ 0.00 %]\n", + "Adjust : 0.181176 [ 66.30 %]\n", + "Total : 0.273276 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6119 700 227 49 22 11 14 \n", + "1 : 6094 726 218 54 25 14 11 \n", + "2 : 6161 689 208 38 21 12 13 \n", + "3 : 6122 710 216 56 15 12 11 \n", + "4 : 6179 666 199 51 19 13 15 \n", + "5 : 6179 674 205 45 15 10 14 \n", + "6 : 6174 675 204 51 11 12 15 \n", + "7 : 6164 673 207 57 19 5 17 \n", + "8 : 6133 689 235 43 18 6 18 \n", + "9 : 6167 673 232 38 13 10 9 \n", + "10 : 6202 633 223 57 12 7 8 \n", + "11 : 6177 684 213 39 17 6 6 \n", + "12 : 6148 707 194 57 18 11 7 \n", + "13 : 6121 695 235 54 15 20 14 \n", + "\n", + "T : 86140 9594 3016 689 240 149 172 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.2754e-03 sec\n", + "--- Collate = 5.3206e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.483544e-06 < 1.562500e-03 [76]\n", + "--- Max DT=3.863396e-01 > 1.000000e-01 [69153]\n", + "----------------------------------------------------------------------\n", + " Component | low: 76/100000\n", + " Component | high: 69153/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=78] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00107006 [ 0.34 %]\n", + "Velocity : 0.00301959 [ 0.96 %]\n", + "Force : 0.0585103 [ 18.62 %]\n", + "Coefs : 0.0286179 [ 9.11 %]\n", + "Output : 0.0417199 [ 13.28 %]\n", + "Levels : 0.00027857 [ 0.09 %]\n", + "Report : 1.51e-06 [ 0.00 %]\n", + "Balance : 6.27e-07 [ 0.00 %]\n", + "Adjust : 0.180807 [ 57.55 %]\n", + "Total : 0.31419 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6127 692 229 46 19 15 14 \n", + "1 : 6089 734 213 58 22 13 13 \n", + "2 : 6158 700 196 43 22 10 13 \n", + "3 : 6135 693 219 59 12 9 15 \n", + "4 : 6180 666 201 45 22 20 8 \n", + "5 : 6177 681 199 47 13 11 14 \n", + "6 : 6170 679 195 56 17 12 13 \n", + "7 : 6160 676 213 52 14 15 12 \n", + "8 : 6130 689 235 49 13 8 18 \n", + "9 : 6171 664 233 43 14 10 7 \n", + "10 : 6204 636 220 55 11 7 9 \n", + "11 : 6183 679 212 38 19 4 7 \n", + "12 : 6151 702 198 55 20 9 7 \n", + "13 : 6118 698 236 55 10 21 16 \n", + "\n", + "T : 86153 9589 2999 701 228 164 166 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.9285e-03 sec\n", + "--- Collate = 6.0625e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.216666e-07 < 1.562500e-03 [74]\n", + "--- Max DT=3.870680e-01 > 1.000000e-01 [69164]\n", + "----------------------------------------------------------------------\n", + " Component | low: 74/100000\n", + " Component | high: 69164/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=78.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000625914 [ 0.22 %]\n", + "Velocity : 0.00184511 [ 0.66 %]\n", + "Force : 0.0611073 [ 21.91 %]\n", + "Coefs : 0.0299996 [ 10.75 %]\n", + "Output : 0.00238898 [ 0.86 %]\n", + "Levels : 0.000202397 [ 0.07 %]\n", + "Report : 9.41e-07 [ 0.00 %]\n", + "Balance : 3.86e-07 [ 0.00 %]\n", + "Adjust : 0.182625 [ 65.47 %]\n", + "Total : 0.278942 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6129 688 231 43 24 7 20 \n", + "1 : 6094 723 219 58 20 14 14 \n", + "2 : 6163 695 196 44 26 10 8 \n", + "3 : 6138 694 208 66 9 13 14 \n", + "4 : 6175 665 199 50 24 20 9 \n", + "5 : 6184 675 199 42 14 18 10 \n", + "6 : 6170 684 195 53 17 12 11 \n", + "7 : 6163 673 210 51 17 16 12 \n", + "8 : 6135 693 228 46 13 16 11 \n", + "9 : 6167 665 233 39 19 14 5 \n", + "10 : 6201 641 214 59 12 6 9 \n", + "11 : 6189 670 212 42 14 10 5 \n", + "12 : 6147 701 204 54 22 8 6 \n", + "13 : 6112 703 233 60 12 12 22 \n", + "\n", + "T : 86167 9570 2981 707 243 176 156 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.8159e-03 sec\n", + "--- Collate = 6.0616e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.026103e-05 < 1.562500e-03 [72]\n", + "--- Max DT=3.877868e-01 > 1.000000e-01 [69151]\n", + "----------------------------------------------------------------------\n", + " Component | low: 72/100000\n", + " Component | high: 69151/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=78.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000537778 [ 0.20 %]\n", + "Velocity : 0.00163596 [ 0.60 %]\n", + "Force : 0.0586114 [ 21.35 %]\n", + "Coefs : 0.0292191 [ 10.64 %]\n", + "Output : 0.00222009 [ 0.81 %]\n", + "Levels : 0.000174992 [ 0.06 %]\n", + "Report : 1.209e-06 [ 0.00 %]\n", + "Balance : 4.05e-07 [ 0.00 %]\n", + "Adjust : 0.181941 [ 66.28 %]\n", + "Total : 0.274494 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6123 694 226 50 22 10 17 \n", + "1 : 6093 722 221 59 20 11 16 \n", + "2 : 6152 702 195 53 20 12 8 \n", + "3 : 6134 700 209 60 8 16 15 \n", + "4 : 6175 665 202 43 27 17 13 \n", + "5 : 6182 672 204 46 16 7 15 \n", + "6 : 6162 688 199 51 16 13 13 \n", + "7 : 6158 677 212 47 21 14 13 \n", + "8 : 6136 688 226 53 17 12 10 \n", + "9 : 6160 674 226 42 21 10 9 \n", + "10 : 6204 637 221 57 10 4 9 \n", + "11 : 6188 670 212 41 13 10 8 \n", + "12 : 6142 707 205 54 18 9 7 \n", + "13 : 6115 703 235 44 25 10 22 \n", + "\n", + "T : 86124 9599 2993 700 254 155 175 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.3552e-03 sec\n", + "--- Collate = 6.0291e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.448682e-06 < 1.562500e-03 [82]\n", + "--- Max DT=3.884962e-01 > 1.000000e-01 [69107]\n", + "----------------------------------------------------------------------\n", + " Component | low: 82/100000\n", + " Component | high: 69107/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=78.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000577918 [ 0.22 %]\n", + "Velocity : 0.00155703 [ 0.59 %]\n", + "Force : 0.0579838 [ 21.93 %]\n", + "Coefs : 0.02695 [ 10.19 %]\n", + "Output : 0.00212095 [ 0.80 %]\n", + "Levels : 0.000210514 [ 0.08 %]\n", + "Report : 7.89e-07 [ 0.00 %]\n", + "Balance : 2.93e-07 [ 0.00 %]\n", + "Adjust : 0.174866 [ 66.13 %]\n", + "Total : 0.264424 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6112 708 225 47 22 13 15 \n", + "1 : 6095 711 225 60 21 14 16 \n", + "2 : 6145 709 200 51 18 10 9 \n", + "3 : 6126 702 212 59 17 14 12 \n", + "4 : 6174 658 206 48 25 13 18 \n", + "5 : 6183 675 199 47 14 6 18 \n", + "6 : 6160 685 206 44 20 13 14 \n", + "7 : 6149 677 218 52 20 9 17 \n", + "8 : 6135 697 217 50 24 13 6 \n", + "9 : 6161 670 228 49 10 11 13 \n", + "10 : 6210 628 229 49 11 10 5 \n", + "11 : 6196 659 213 42 14 4 14 \n", + "12 : 6146 703 199 59 17 9 9 \n", + "13 : 6114 703 236 46 24 15 16 \n", + "\n", + "T : 86106 9585 3013 703 257 154 182 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.8205e-03 sec\n", + "--- Collate = 6.1631e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.666028e-07 < 1.562500e-03 [91]\n", + "--- Max DT=3.891963e-01 > 1.000000e-01 [69098]\n", + "----------------------------------------------------------------------\n", + " Component | low: 91/100000\n", + " Component | high: 69098/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=78.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000479954 [ 0.17 %]\n", + "Velocity : 0.0016611 [ 0.60 %]\n", + "Force : 0.0612128 [ 22.24 %]\n", + "Coefs : 0.0290458 [ 10.55 %]\n", + "Output : 0.00227186 [ 0.83 %]\n", + "Levels : 0.00023166 [ 0.08 %]\n", + "Report : 9.8e-07 [ 0.00 %]\n", + "Balance : 2.52e-07 [ 0.00 %]\n", + "Adjust : 0.18019 [ 65.46 %]\n", + "Total : 0.275252 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6112 710 231 38 24 16 11 \n", + "1 : 6094 708 234 55 23 11 17 \n", + "2 : 6143 714 200 49 19 5 12 \n", + "3 : 6127 700 215 56 19 12 13 \n", + "4 : 6172 661 203 47 24 16 19 \n", + "5 : 6181 679 199 45 11 11 16 \n", + "6 : 6155 682 213 54 15 5 18 \n", + "7 : 6147 685 207 59 14 12 18 \n", + "8 : 6133 700 217 47 27 9 9 \n", + "9 : 6157 677 223 49 11 10 15 \n", + "10 : 6211 633 222 47 13 10 6 \n", + "11 : 6194 655 217 43 12 6 15 \n", + "12 : 6155 693 200 57 19 9 9 \n", + "13 : 6106 705 238 44 35 18 8 \n", + "\n", + "T : 86087 9602 3019 690 266 150 186 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 8.9020e-03 sec\n", + "--- Collate = 6.0965e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.410558e-06 < 1.562500e-03 [89]\n", + "--- Max DT=3.898874e-01 > 1.000000e-01 [69081]\n", + "----------------------------------------------------------------------\n", + " Component | low: 89/100000\n", + " Component | high: 69081/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=78.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00053209 [ 0.20 %]\n", + "Velocity : 0.00148421 [ 0.56 %]\n", + "Force : 0.0583534 [ 22.15 %]\n", + "Coefs : 0.0282715 [ 10.73 %]\n", + "Output : 0.002315 [ 0.88 %]\n", + "Levels : 0.000185492 [ 0.07 %]\n", + "Report : 8.76e-07 [ 0.00 %]\n", + "Balance : 3.94e-07 [ 0.00 %]\n", + "Adjust : 0.17221 [ 65.35 %]\n", + "Total : 0.263501 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6110 713 229 44 19 17 10 \n", + "1 : 6089 704 245 52 22 13 17 \n", + "2 : 6147 708 204 46 18 6 13 \n", + "3 : 6119 708 212 57 24 11 11 \n", + "4 : 6162 667 206 50 19 15 23 \n", + "5 : 6182 678 198 42 16 13 13 \n", + "6 : 6151 690 205 57 15 11 13 \n", + "7 : 6147 677 217 54 19 11 17 \n", + "8 : 6129 706 218 45 25 11 8 \n", + "9 : 6153 684 217 47 16 10 15 \n", + "10 : 6214 629 222 47 17 5 8 \n", + "11 : 6187 654 227 37 11 11 15 \n", + "12 : 6161 688 199 55 22 7 10 \n", + "13 : 6105 708 238 45 31 14 13 \n", + "\n", + "T : 86056 9614 3037 678 274 155 186 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 8.8356e-03 sec\n", + "--- Collate = 5.7637e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.869555e-05 < 1.562500e-03 [82]\n", + "--- Max DT=3.905696e-01 > 1.000000e-01 [69046]\n", + "----------------------------------------------------------------------\n", + " Component | low: 82/100000\n", + " Component | high: 69046/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=78.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000452904 [ 0.17 %]\n", + "Velocity : 0.00142901 [ 0.55 %]\n", + "Force : 0.058568 [ 22.37 %]\n", + "Coefs : 0.0285883 [ 10.92 %]\n", + "Output : 0.00203679 [ 0.78 %]\n", + "Levels : 0.000162175 [ 0.06 %]\n", + "Report : 9.91e-07 [ 0.00 %]\n", + "Balance : 3.24e-07 [ 0.00 %]\n", + "Adjust : 0.170463 [ 65.10 %]\n", + "Total : 0.26184 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6111 713 231 39 22 13 13 \n", + "1 : 6100 692 241 59 19 14 17 \n", + "2 : 6154 698 208 48 15 8 11 \n", + "3 : 6117 708 215 57 23 10 12 \n", + "4 : 6160 673 204 46 17 19 23 \n", + "5 : 6182 673 203 46 16 8 14 \n", + "6 : 6144 695 209 52 18 11 13 \n", + "7 : 6146 678 219 52 15 19 13 \n", + "8 : 6118 716 217 52 11 17 11 \n", + "9 : 6156 682 213 48 18 13 12 \n", + "10 : 6214 624 218 60 14 3 9 \n", + "11 : 6184 651 230 38 14 15 10 \n", + "12 : 6152 693 206 57 17 10 7 \n", + "13 : 6101 710 232 55 25 16 15 \n", + "\n", + "T : 86039 9606 3046 709 244 176 180 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.7422e-03 sec\n", + "--- Collate = 6.2129e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.570905e-05 < 1.562500e-03 [81]\n", + "--- Max DT=3.912446e-01 > 1.000000e-01 [69033]\n", + "----------------------------------------------------------------------\n", + " Component | low: 81/100000\n", + " Component | high: 69033/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=78.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000487361 [ 0.19 %]\n", + "Velocity : 0.00139298 [ 0.54 %]\n", + "Force : 0.0572201 [ 22.24 %]\n", + "Coefs : 0.0278913 [ 10.84 %]\n", + "Output : 0.00204426 [ 0.79 %]\n", + "Levels : 0.000182976 [ 0.07 %]\n", + "Report : 9.33e-07 [ 0.00 %]\n", + "Balance : 4.23e-07 [ 0.00 %]\n", + "Adjust : 0.167876 [ 65.26 %]\n", + "Total : 0.257241 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6117 703 234 43 24 6 15 \n", + "1 : 6099 688 246 67 17 11 14 \n", + "2 : 6157 689 213 48 11 12 12 \n", + "3 : 6117 709 217 55 20 15 9 \n", + "4 : 6155 673 210 47 18 19 20 \n", + "5 : 6191 665 199 51 14 12 10 \n", + "6 : 6141 702 203 54 20 14 8 \n", + "7 : 6144 683 219 49 18 14 15 \n", + "8 : 6114 727 210 51 10 11 19 \n", + "9 : 6160 680 214 45 20 13 10 \n", + "10 : 6207 626 222 58 13 10 6 \n", + "11 : 6177 652 234 42 14 12 11 \n", + "12 : 6148 702 200 53 22 9 8 \n", + "13 : 6100 709 234 54 25 11 21 \n", + "\n", + "T : 86027 9608 3055 717 246 169 178 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.8149e-03 sec\n", + "--- Collate = 7.3237e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.795902e-06 < 1.562500e-03 [88]\n", + "--- Max DT=3.919108e-01 > 1.000000e-01 [68983]\n", + "----------------------------------------------------------------------\n", + " Component | low: 88/100000\n", + " Component | high: 68983/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=78.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00043574 [ 0.17 %]\n", + "Velocity : 0.00140918 [ 0.55 %]\n", + "Force : 0.0571812 [ 22.15 %]\n", + "Coefs : 0.0277976 [ 10.77 %]\n", + "Output : 0.00177264 [ 0.69 %]\n", + "Levels : 0.000227635 [ 0.09 %]\n", + "Report : 8.64e-07 [ 0.00 %]\n", + "Balance : 7.92e-07 [ 0.00 %]\n", + "Adjust : 0.169226 [ 65.54 %]\n", + "Total : 0.258187 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6125 694 241 41 17 11 13 \n", + "1 : 6098 688 246 70 17 10 13 \n", + "2 : 6157 699 199 49 17 7 14 \n", + "3 : 6120 700 225 55 21 11 10 \n", + "4 : 6148 677 213 47 20 17 20 \n", + "5 : 6182 671 201 53 13 10 12 \n", + "6 : 6141 697 211 54 21 7 11 \n", + "7 : 6153 676 217 52 17 13 14 \n", + "8 : 6120 718 212 50 17 1 24 \n", + "9 : 6162 671 221 43 23 14 8 \n", + "10 : 6205 621 226 58 16 6 10 \n", + "11 : 6168 666 226 42 20 7 13 \n", + "12 : 6154 701 194 53 22 10 8 \n", + "13 : 6094 707 246 52 20 17 18 \n", + "\n", + "T : 86027 9586 3078 719 261 141 188 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.3%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.9265e-03 sec\n", + "--- Collate = 6.3189e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.021408e-05 < 1.562500e-03 [74]\n", + "--- Max DT=3.925695e-01 > 1.000000e-01 [68977]\n", + "----------------------------------------------------------------------\n", + " Component | low: 74/100000\n", + " Component | high: 68977/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=78.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000482753 [ 0.19 %]\n", + "Velocity : 0.00153985 [ 0.59 %]\n", + "Force : 0.0576128 [ 22.10 %]\n", + "Coefs : 0.0272475 [ 10.45 %]\n", + "Output : 0.00217239 [ 0.83 %]\n", + "Levels : 0.00019027 [ 0.07 %]\n", + "Report : 1.022e-06 [ 0.00 %]\n", + "Balance : 3.19e-07 [ 0.00 %]\n", + "Adjust : 0.171274 [ 65.70 %]\n", + "Total : 0.26069 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6125 694 235 45 18 12 13 \n", + "1 : 6099 690 244 69 15 11 14 \n", + "2 : 6159 691 206 48 17 10 11 \n", + "3 : 6121 692 233 56 16 12 12 \n", + "4 : 6151 675 216 50 14 17 19 \n", + "5 : 6179 673 200 50 20 11 9 \n", + "6 : 6134 709 209 56 16 8 10 \n", + "7 : 6139 683 224 55 18 10 13 \n", + "8 : 6109 728 216 48 12 9 20 \n", + "9 : 6162 670 216 46 27 14 7 \n", + "10 : 6195 638 219 50 20 13 7 \n", + "11 : 6172 663 223 45 16 10 13 \n", + "12 : 6153 698 200 54 18 10 9 \n", + "13 : 6091 711 242 57 22 13 18 \n", + "\n", + "T : 85989 9615 3083 729 249 160 175 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.8596e-03 sec\n", + "--- Collate = 5.6421e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.259341e-05 < 1.562500e-03 [66]\n", + "--- Max DT=3.932206e-01 > 1.000000e-01 [68910]\n", + "----------------------------------------------------------------------\n", + " Component | low: 66/100000\n", + " Component | high: 68910/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=79] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000550214 [ 0.18 %]\n", + "Velocity : 0.00159047 [ 0.52 %]\n", + "Force : 0.0578967 [ 18.98 %]\n", + "Coefs : 0.026834 [ 8.80 %]\n", + "Output : 0.0466401 [ 15.29 %]\n", + "Levels : 0.000197088 [ 0.06 %]\n", + "Report : 1.679e-06 [ 0.00 %]\n", + "Balance : 9.04e-07 [ 0.00 %]\n", + "Adjust : 0.171215 [ 56.12 %]\n", + "Total : 0.305076 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6131 689 231 50 20 7 14 \n", + "1 : 6100 693 241 59 27 8 14 \n", + "2 : 6155 696 205 50 16 13 7 \n", + "3 : 6116 702 224 61 16 11 12 \n", + "4 : 6151 676 217 43 25 14 16 \n", + "5 : 6180 672 200 53 14 14 9 \n", + "6 : 6132 709 215 49 19 9 9 \n", + "7 : 6131 694 215 56 19 16 11 \n", + "8 : 6104 734 219 47 11 17 10 \n", + "9 : 6163 663 216 55 23 8 14 \n", + "10 : 6191 636 223 49 20 10 13 \n", + "11 : 6170 660 223 47 19 12 11 \n", + "12 : 6152 690 208 57 14 8 13 \n", + "13 : 6083 718 247 54 18 18 16 \n", + "\n", + "T : 85959 9632 3084 730 261 165 169 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.4722e-03 sec\n", + "--- Collate = 6.0076e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.720969e-06 < 1.562500e-03 [76]\n", + "--- Max DT=3.938641e-01 > 1.000000e-01 [68924]\n", + "----------------------------------------------------------------------\n", + " Component | low: 76/100000\n", + " Component | high: 68924/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=79.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00114902 [ 0.42 %]\n", + "Velocity : 0.00281671 [ 1.02 %]\n", + "Force : 0.0593159 [ 21.46 %]\n", + "Coefs : 0.0261812 [ 9.47 %]\n", + "Output : 0.00528396 [ 1.91 %]\n", + "Levels : 0.000260529 [ 0.09 %]\n", + "Report : 7.38e-07 [ 0.00 %]\n", + "Balance : 3.21e-07 [ 0.00 %]\n", + "Adjust : 0.181212 [ 65.56 %]\n", + "Total : 0.276396 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6128 691 228 53 22 7 13 \n", + "1 : 6098 693 244 60 21 13 13 \n", + "2 : 6158 690 213 42 17 14 8 \n", + "3 : 6115 701 225 60 17 10 14 \n", + "4 : 6149 672 225 41 24 16 15 \n", + "5 : 6178 674 200 51 18 8 13 \n", + "6 : 6130 716 211 48 17 13 7 \n", + "7 : 6136 690 214 55 20 11 16 \n", + "8 : 6104 739 213 45 17 14 10 \n", + "9 : 6167 654 218 59 20 13 11 \n", + "10 : 6183 645 220 49 21 13 11 \n", + "11 : 6171 658 221 51 22 7 12 \n", + "12 : 6145 698 206 59 14 10 10 \n", + "13 : 6081 720 245 59 23 10 16 \n", + "\n", + "T : 85943 9641 3083 732 273 159 169 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.3658e-03 sec\n", + "--- Collate = 6.5455e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.558078e-06 < 1.562500e-03 [85]\n", + "--- Max DT=3.945001e-01 > 1.000000e-01 [68888]\n", + "----------------------------------------------------------------------\n", + " Component | low: 85/100000\n", + " Component | high: 68888/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=79.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00105305 [ 0.39 %]\n", + "Velocity : 0.00294019 [ 1.08 %]\n", + "Force : 0.0583485 [ 21.53 %]\n", + "Coefs : 0.0259128 [ 9.56 %]\n", + "Output : 0.00498756 [ 1.84 %]\n", + "Levels : 0.00029445 [ 0.11 %]\n", + "Report : 7.64e-07 [ 0.00 %]\n", + "Balance : 3.7e-07 [ 0.00 %]\n", + "Adjust : 0.177294 [ 65.42 %]\n", + "Total : 0.271006 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6136 684 227 55 16 15 9 \n", + "1 : 6103 690 249 45 24 17 14 \n", + "2 : 6156 689 207 46 19 15 10 \n", + "3 : 6111 703 226 58 22 9 13 \n", + "4 : 6151 668 227 43 18 19 16 \n", + "5 : 6178 671 200 51 18 11 13 \n", + "6 : 6129 716 207 52 21 8 9 \n", + "7 : 6135 697 212 48 21 13 16 \n", + "8 : 6108 733 214 47 20 7 13 \n", + "9 : 6161 657 221 58 18 12 15 \n", + "10 : 6181 654 211 51 19 11 15 \n", + "11 : 6166 663 221 46 24 12 10 \n", + "12 : 6147 695 210 54 19 6 11 \n", + "13 : 6083 710 252 63 23 12 11 \n", + "\n", + "T : 85945 9630 3084 717 282 167 175 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.2943e-03 sec\n", + "--- Collate = 5.7379e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.314764e-05 < 1.562500e-03 [77]\n", + "--- Max DT=3.951278e-01 > 1.000000e-01 [68817]\n", + "----------------------------------------------------------------------\n", + " Component | low: 77/100000\n", + " Component | high: 68817/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=79.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00101635 [ 0.38 %]\n", + "Velocity : 0.00283874 [ 1.07 %]\n", + "Force : 0.0576915 [ 21.70 %]\n", + "Coefs : 0.0258498 [ 9.72 %]\n", + "Output : 0.00478485 [ 1.80 %]\n", + "Levels : 0.000276385 [ 0.10 %]\n", + "Report : 6.55e-07 [ 0.00 %]\n", + "Balance : 3.68e-07 [ 0.00 %]\n", + "Adjust : 0.173289 [ 65.17 %]\n", + "Total : 0.26592 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6136 685 221 57 20 14 9 \n", + "1 : 6106 689 247 39 27 19 15 \n", + "2 : 6154 688 204 58 11 16 11 \n", + "3 : 6109 716 216 55 27 6 13 \n", + "4 : 6150 666 226 46 19 16 19 \n", + "5 : 6177 675 192 56 14 16 12 \n", + "6 : 6135 712 206 53 20 5 11 \n", + "7 : 6130 701 214 42 26 13 16 \n", + "8 : 6111 731 209 49 21 9 12 \n", + "9 : 6157 657 220 63 15 14 16 \n", + "10 : 6175 659 218 43 23 9 15 \n", + "11 : 6170 660 214 51 25 14 8 \n", + "12 : 6142 696 215 50 21 11 7 \n", + "13 : 6078 712 251 66 19 17 11 \n", + "\n", + "T : 85930 9647 3053 728 288 179 175 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.2491e-03 sec\n", + "--- Collate = 6.1165e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.012121e-05 < 1.562500e-03 [80]\n", + "--- Max DT=3.957468e-01 > 1.000000e-01 [68781]\n", + "----------------------------------------------------------------------\n", + " Component | low: 80/100000\n", + " Component | high: 68781/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=79.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00104849 [ 0.39 %]\n", + "Velocity : 0.00284162 [ 1.06 %]\n", + "Force : 0.0577233 [ 21.53 %]\n", + "Coefs : 0.0251912 [ 9.39 %]\n", + "Output : 0.00484472 [ 1.81 %]\n", + "Levels : 0.000250652 [ 0.09 %]\n", + "Report : 6.83e-07 [ 0.00 %]\n", + "Balance : 3.7e-07 [ 0.00 %]\n", + "Adjust : 0.176091 [ 65.67 %]\n", + "Total : 0.268156 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6138 687 220 57 19 8 13 \n", + "1 : 6105 689 239 52 21 22 14 \n", + "2 : 6162 690 191 59 10 16 14 \n", + "3 : 6106 720 211 58 25 14 8 \n", + "4 : 6146 670 227 44 18 16 21 \n", + "5 : 6177 674 192 51 15 20 13 \n", + "6 : 6133 722 201 45 23 8 10 \n", + "7 : 6128 705 214 37 24 21 13 \n", + "8 : 6103 738 207 48 20 19 7 \n", + "9 : 6144 668 221 61 20 9 19 \n", + "10 : 6173 660 214 48 21 12 14 \n", + "11 : 6161 666 217 51 22 15 10 \n", + "12 : 6139 699 216 47 15 17 9 \n", + "13 : 6076 712 253 63 26 12 12 \n", + "\n", + "T : 85891 9700 3023 721 279 209 177 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.4255e-03 sec\n", + "--- Collate = 6.2071e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.268724e-06 < 1.562500e-03 [94]\n", + "--- Max DT=3.963562e-01 > 1.000000e-01 [68754]\n", + "----------------------------------------------------------------------\n", + " Component | low: 94/100000\n", + " Component | high: 68754/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=79.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00103442 [ 0.38 %]\n", + "Velocity : 0.00284798 [ 1.05 %]\n", + "Force : 0.0591505 [ 21.91 %]\n", + "Coefs : 0.0268014 [ 9.93 %]\n", + "Output : 0.00509793 [ 1.89 %]\n", + "Levels : 0.000274612 [ 0.10 %]\n", + "Report : 7.19e-07 [ 0.00 %]\n", + "Balance : 3.8e-07 [ 0.00 %]\n", + "Adjust : 0.174598 [ 64.67 %]\n", + "Total : 0.269979 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6145 677 221 57 18 11 13 \n", + "1 : 6107 683 240 55 23 13 21 \n", + "2 : 6168 686 191 52 17 12 16 \n", + "3 : 6091 733 204 63 26 16 9 \n", + "4 : 6150 670 219 46 22 15 20 \n", + "5 : 6176 668 204 41 27 8 18 \n", + "6 : 6128 727 198 47 21 13 8 \n", + "7 : 6123 703 219 44 21 15 17 \n", + "8 : 6101 737 207 52 19 16 10 \n", + "9 : 6137 674 216 66 20 14 15 \n", + "10 : 6177 656 215 46 21 14 13 \n", + "11 : 6152 672 222 44 25 15 12 \n", + "12 : 6135 700 223 38 21 11 14 \n", + "13 : 6080 708 255 61 21 13 16 \n", + "\n", + "T : 85870 9694 3034 712 302 186 202 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.2778e-03 sec\n", + "--- Collate = 7.0042e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.448081e-05 < 1.562500e-03 [104]\n", + "--- Max DT=3.969568e-01 > 1.000000e-01 [68710]\n", + "----------------------------------------------------------------------\n", + " Component | low: 104/100000\n", + " Component | high: 68710/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=79.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00105772 [ 0.37 %]\n", + "Velocity : 0.00298334 [ 1.03 %]\n", + "Force : 0.0656118 [ 22.75 %]\n", + "Coefs : 0.0269879 [ 9.36 %]\n", + "Output : 0.00491912 [ 1.71 %]\n", + "Levels : 0.000314466 [ 0.11 %]\n", + "Report : 6.41e-07 [ 0.00 %]\n", + "Balance : 3.91e-07 [ 0.00 %]\n", + "Adjust : 0.18638 [ 64.62 %]\n", + "Total : 0.288433 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6141 680 220 60 15 8 18 \n", + "1 : 6108 685 239 57 18 18 17 \n", + "2 : 6166 687 195 48 20 10 16 \n", + "3 : 6087 737 203 62 29 10 14 \n", + "4 : 6151 666 225 43 23 16 18 \n", + "5 : 6178 659 211 41 24 10 19 \n", + "6 : 6126 723 199 51 21 13 9 \n", + "7 : 6124 701 224 40 20 16 17 \n", + "8 : 6098 745 197 57 18 8 19 \n", + "9 : 6135 672 220 65 22 14 14 \n", + "10 : 6178 655 213 50 20 12 14 \n", + "11 : 6150 675 222 46 23 11 15 \n", + "12 : 6133 699 236 32 17 9 16 \n", + "13 : 6091 702 244 67 23 12 15 \n", + "\n", + "T : 85866 9686 3048 719 293 167 221 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.3249e-03 sec\n", + "--- Collate = 5.9384e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.572222e-07 < 1.562500e-03 [107]\n", + "--- Max DT=3.975486e-01 > 1.000000e-01 [68737]\n", + "----------------------------------------------------------------------\n", + " Component | low: 107/100000\n", + " Component | high: 68737/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=79.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.001104 [ 0.39 %]\n", + "Velocity : 0.00258645 [ 0.92 %]\n", + "Force : 0.0599307 [ 21.39 %]\n", + "Coefs : 0.0275247 [ 9.82 %]\n", + "Output : 0.0052906 [ 1.89 %]\n", + "Levels : 0.00024415 [ 0.09 %]\n", + "Report : 7.36e-07 [ 0.00 %]\n", + "Balance : 3.77e-07 [ 0.00 %]\n", + "Adjust : 0.18336 [ 65.43 %]\n", + "Total : 0.280223 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6142 675 228 56 16 11 14 \n", + "1 : 6107 690 225 65 22 17 16 \n", + "2 : 6171 677 197 47 22 14 14 \n", + "3 : 6092 727 207 66 22 13 15 \n", + "4 : 6151 674 216 46 22 19 14 \n", + "5 : 6177 656 209 47 22 15 16 \n", + "6 : 6122 724 203 56 17 11 9 \n", + "7 : 6127 695 229 45 14 12 20 \n", + "8 : 6098 739 205 55 14 9 22 \n", + "9 : 6145 658 223 66 25 13 12 \n", + "10 : 6171 662 209 59 19 6 16 \n", + "11 : 6139 685 218 49 24 11 16 \n", + "12 : 6131 701 233 34 12 14 17 \n", + "13 : 6078 719 239 72 17 15 14 \n", + "\n", + "T : 85851 9682 3041 763 268 180 215 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.1%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.5032e-03 sec\n", + "--- Collate = 6.8715e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.732555e-06 < 1.562500e-03 [95]\n", + "--- Max DT=3.981331e-01 > 1.000000e-01 [68737]\n", + "----------------------------------------------------------------------\n", + " Component | low: 95/100000\n", + " Component | high: 68737/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=79.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00104178 [ 0.36 %]\n", + "Velocity : 0.00318415 [ 1.11 %]\n", + "Force : 0.0625355 [ 21.90 %]\n", + "Coefs : 0.026384 [ 9.24 %]\n", + "Output : 0.00510727 [ 1.79 %]\n", + "Levels : 0.000234741 [ 0.08 %]\n", + "Report : 4.27e-07 [ 0.00 %]\n", + "Balance : 3.26e-07 [ 0.00 %]\n", + "Adjust : 0.186893 [ 65.44 %]\n", + "Total : 0.28558 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6144 680 219 57 17 13 12 \n", + "1 : 6102 695 224 64 26 21 10 \n", + "2 : 6178 662 202 47 25 15 13 \n", + "3 : 6085 730 218 56 22 18 13 \n", + "4 : 6155 663 219 51 24 11 19 \n", + "5 : 6173 662 205 53 19 19 11 \n", + "6 : 6120 730 196 56 20 8 12 \n", + "7 : 6133 693 228 35 21 16 16 \n", + "8 : 6094 742 208 51 15 10 22 \n", + "9 : 6150 651 222 68 24 16 11 \n", + "10 : 6169 662 211 61 16 11 12 \n", + "11 : 6139 684 218 50 24 12 15 \n", + "12 : 6131 697 231 42 10 16 15 \n", + "13 : 6081 719 240 62 20 14 18 \n", + "\n", + "T : 85854 9670 3041 753 283 200 199 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.5119e-03 sec\n", + "--- Collate = 8.1604e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.979309e-07 < 1.562500e-03 [92]\n", + "--- Max DT=3.987107e-01 > 1.000000e-01 [68716]\n", + "----------------------------------------------------------------------\n", + " Component | low: 92/100000\n", + " Component | high: 68716/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=79.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00101678 [ 0.35 %]\n", + "Velocity : 0.00292949 [ 1.02 %]\n", + "Force : 0.0608824 [ 21.22 %]\n", + "Coefs : 0.025813 [ 9.00 %]\n", + "Output : 0.00525441 [ 1.83 %]\n", + "Levels : 0.000296277 [ 0.10 %]\n", + "Report : 6.6e-07 [ 0.00 %]\n", + "Balance : 3.62e-07 [ 0.00 %]\n", + "Adjust : 0.190556 [ 66.41 %]\n", + "Total : 0.286935 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6145 681 217 58 17 16 8 \n", + "1 : 6107 682 230 67 31 10 15 \n", + "2 : 6180 665 196 50 27 10 14 \n", + "3 : 6084 731 213 62 23 17 12 \n", + "4 : 6150 670 219 55 17 16 15 \n", + "5 : 6167 671 201 56 23 11 13 \n", + "6 : 6115 736 191 61 19 8 12 \n", + "7 : 6126 699 227 41 24 11 14 \n", + "8 : 6103 736 205 50 15 19 14 \n", + "9 : 6149 643 234 64 18 16 18 \n", + "10 : 6176 660 199 60 23 12 12 \n", + "11 : 6130 689 218 58 23 11 13 \n", + "12 : 6123 708 228 43 13 12 15 \n", + "13 : 6078 720 239 62 22 14 19 \n", + "\n", + "T : 85833 9691 3017 787 295 183 194 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.3454e-03 sec\n", + "--- Collate = 8.8620e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.094006e-06 < 1.562500e-03 [91]\n", + "--- Max DT=3.992824e-01 > 1.000000e-01 [68681]\n", + "----------------------------------------------------------------------\n", + " Component | low: 91/100000\n", + " Component | high: 68681/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=80] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0010385 [ 0.31 %]\n", + "Velocity : 0.00298322 [ 0.90 %]\n", + "Force : 0.0610417 [ 18.50 %]\n", + "Coefs : 0.0285876 [ 8.66 %]\n", + "Output : 0.0481308 [ 14.58 %]\n", + "Levels : 0.000252856 [ 0.08 %]\n", + "Report : 1.719e-06 [ 0.00 %]\n", + "Balance : 9.81e-07 [ 0.00 %]\n", + "Adjust : 0.187797 [ 56.90 %]\n", + "Total : 0.33004 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6144 679 219 56 22 15 7 \n", + "1 : 6103 686 234 63 27 14 15 \n", + "2 : 6172 673 199 53 17 14 14 \n", + "3 : 6082 740 206 61 31 10 12 \n", + "4 : 6149 670 219 60 18 14 12 \n", + "5 : 6157 679 200 63 22 7 14 \n", + "6 : 6115 735 191 64 20 7 10 \n", + "7 : 6118 706 229 46 18 16 9 \n", + "8 : 6103 729 215 46 19 20 10 \n", + "9 : 6145 642 238 65 16 13 23 \n", + "10 : 6174 659 204 57 25 12 11 \n", + "11 : 6130 687 224 54 24 9 14 \n", + "12 : 6122 707 227 44 16 10 16 \n", + "13 : 6069 730 235 66 20 15 19 \n", + "\n", + "T : 85783 9722 3040 798 295 176 186 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.2%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.6901e-03 sec\n", + "--- Collate = 6.2306e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.190497e-06 < 1.562500e-03 [87]\n", + "--- Max DT=3.998467e-01 > 1.000000e-01 [68636]\n", + "----------------------------------------------------------------------\n", + " Component | low: 87/100000\n", + " Component | high: 68636/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=80.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00111539 [ 0.38 %]\n", + "Velocity : 0.0033214 [ 1.12 %]\n", + "Force : 0.0623293 [ 21.04 %]\n", + "Coefs : 0.0276075 [ 9.32 %]\n", + "Output : 0.00553894 [ 1.87 %]\n", + "Levels : 0.000257062 [ 0.09 %]\n", + "Report : 7.18e-07 [ 0.00 %]\n", + "Balance : 3.95e-07 [ 0.00 %]\n", + "Adjust : 0.195941 [ 66.13 %]\n", + "Total : 0.296279 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6146 676 224 53 22 10 11 \n", + "1 : 6099 681 247 58 31 10 16 \n", + "2 : 6173 670 201 53 22 9 14 \n", + "3 : 6075 750 208 57 29 8 15 \n", + "4 : 6148 671 219 60 17 15 12 \n", + "5 : 6156 683 196 64 20 13 10 \n", + "6 : 6115 734 194 63 20 9 7 \n", + "7 : 6114 708 229 48 21 8 14 \n", + "8 : 6109 716 216 51 24 15 11 \n", + "9 : 6136 648 242 65 16 11 24 \n", + "10 : 6172 658 211 59 18 10 14 \n", + "11 : 6121 692 221 64 20 12 12 \n", + "12 : 6127 704 227 40 22 13 9 \n", + "13 : 6065 731 234 63 27 13 21 \n", + "\n", + "T : 85756 9722 3069 798 309 156 190 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.4485e-03 sec\n", + "--- Collate = 6.1118e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.235859e-07 < 1.562500e-03 [88]\n", + "--- Max DT=4.004022e-01 > 1.000000e-01 [68595]\n", + "----------------------------------------------------------------------\n", + " Component | low: 88/100000\n", + " Component | high: 68595/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=80.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00118079 [ 0.40 %]\n", + "Velocity : 0.00309116 [ 1.05 %]\n", + "Force : 0.0607712 [ 20.73 %]\n", + "Coefs : 0.0266489 [ 9.09 %]\n", + "Output : 0.00557918 [ 1.90 %]\n", + "Levels : 0.000272709 [ 0.09 %]\n", + "Report : 6.25e-07 [ 0.00 %]\n", + "Balance : 3.95e-07 [ 0.00 %]\n", + "Adjust : 0.195464 [ 66.67 %]\n", + "Total : 0.293182 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6142 678 225 55 15 15 12 \n", + "1 : 6105 673 253 56 24 16 15 \n", + "2 : 6169 674 202 53 19 10 15 \n", + "3 : 6077 744 216 55 28 11 11 \n", + "4 : 6151 668 219 61 19 11 13 \n", + "5 : 6155 676 200 67 19 17 8 \n", + "6 : 6111 743 189 64 20 8 7 \n", + "7 : 6109 714 232 46 20 7 14 \n", + "8 : 6111 719 213 53 22 10 14 \n", + "9 : 6133 651 241 62 17 17 21 \n", + "10 : 6172 656 213 55 20 15 11 \n", + "11 : 6125 688 221 61 23 14 10 \n", + "12 : 6131 696 228 48 16 13 10 \n", + "13 : 6070 729 236 56 25 21 17 \n", + "\n", + "T : 85761 9709 3088 792 287 185 178 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.0330e-03 sec\n", + "--- Collate = 7.9020e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.560912e-06 < 1.562500e-03 [66]\n", + "--- Max DT=4.009480e-01 > 1.000000e-01 [68585]\n", + "----------------------------------------------------------------------\n", + " Component | low: 66/100000\n", + " Component | high: 68585/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=80.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0010514 [ 0.37 %]\n", + "Velocity : 0.00324998 [ 1.14 %]\n", + "Force : 0.0603695 [ 21.19 %]\n", + "Coefs : 0.0276425 [ 9.70 %]\n", + "Output : 0.00526353 [ 1.85 %]\n", + "Levels : 0.000293279 [ 0.10 %]\n", + "Report : 6.5e-07 [ 0.00 %]\n", + "Balance : 3.49e-07 [ 0.00 %]\n", + "Adjust : 0.186814 [ 65.58 %]\n", + "Total : 0.284853 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6133 683 226 56 15 14 15 \n", + "1 : 6099 681 244 62 23 15 18 \n", + "2 : 6167 678 197 56 20 11 13 \n", + "3 : 6078 742 219 58 22 12 11 \n", + "4 : 6145 664 235 53 19 12 14 \n", + "5 : 6159 674 197 65 23 14 10 \n", + "6 : 6099 756 189 58 25 8 7 \n", + "7 : 6098 726 229 47 18 11 13 \n", + "8 : 6116 721 209 54 20 7 15 \n", + "9 : 6127 654 242 63 15 27 14 \n", + "10 : 6166 660 210 60 18 13 15 \n", + "11 : 6132 679 227 62 15 16 11 \n", + "12 : 6130 699 227 44 20 9 13 \n", + "13 : 6067 729 241 52 24 26 15 \n", + "\n", + "T : 85716 9746 3092 790 277 195 184 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.3777e-03 sec\n", + "--- Collate = 5.5144e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.576509e-05 < 1.562500e-03 [95]\n", + "--- Max DT=4.014845e-01 > 1.000000e-01 [68580]\n", + "----------------------------------------------------------------------\n", + " Component | low: 95/100000\n", + " Component | high: 68580/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=80.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00129105 [ 0.43 %]\n", + "Velocity : 0.00354191 [ 1.18 %]\n", + "Force : 0.0633138 [ 21.14 %]\n", + "Coefs : 0.02917 [ 9.74 %]\n", + "Output : 0.00541508 [ 1.81 %]\n", + "Levels : 0.000269374 [ 0.09 %]\n", + "Report : 6.36e-07 [ 0.00 %]\n", + "Balance : 4e-07 [ 0.00 %]\n", + "Adjust : 0.196243 [ 65.54 %]\n", + "Total : 0.299447 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6139 676 227 60 14 10 16 \n", + "1 : 6097 679 251 58 24 14 19 \n", + "2 : 6171 668 200 62 19 13 9 \n", + "3 : 6074 744 221 64 17 11 11 \n", + "4 : 6145 667 236 46 25 10 13 \n", + "5 : 6158 673 200 57 29 9 16 \n", + "6 : 6108 736 199 59 19 13 8 \n", + "7 : 6090 725 236 45 18 14 14 \n", + "8 : 6114 722 207 55 18 16 10 \n", + "9 : 6125 652 246 60 23 19 17 \n", + "10 : 6162 662 212 57 18 17 14 \n", + "11 : 6134 670 239 52 22 11 14 \n", + "12 : 6128 698 225 50 21 5 15 \n", + "13 : 6073 718 245 51 27 21 19 \n", + "\n", + "T : 85718 9690 3144 776 294 183 195 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 8.0%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.8475e-03 sec\n", + "--- Collate = 5.9339e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.110979e-05 < 1.562500e-03 [95]\n", + "--- Max DT=4.020118e-01 > 1.000000e-01 [68530]\n", + "----------------------------------------------------------------------\n", + " Component | low: 95/100000\n", + " Component | high: 68530/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=80.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0010597 [ 0.38 %]\n", + "Velocity : 0.00321259 [ 1.15 %]\n", + "Force : 0.0592869 [ 21.23 %]\n", + "Coefs : 0.0261808 [ 9.37 %]\n", + "Output : 0.00514554 [ 1.84 %]\n", + "Levels : 0.000251577 [ 0.09 %]\n", + "Report : 4e-07 [ 0.00 %]\n", + "Balance : 3.91e-07 [ 0.00 %]\n", + "Adjust : 0.183994 [ 65.88 %]\n", + "Total : 0.2793 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6137 675 231 57 16 12 14 \n", + "1 : 6096 680 252 57 23 16 18 \n", + "2 : 6174 661 209 52 28 8 10 \n", + "3 : 6078 737 218 65 25 9 10 \n", + "4 : 6138 677 232 51 18 17 9 \n", + "5 : 6148 681 203 53 26 14 17 \n", + "6 : 6103 732 206 58 17 14 12 \n", + "7 : 6082 731 237 49 16 12 15 \n", + "8 : 6110 726 206 59 15 13 13 \n", + "9 : 6125 648 257 54 22 19 17 \n", + "10 : 6156 663 218 58 21 11 15 \n", + "11 : 6127 673 245 54 16 10 17 \n", + "12 : 6130 704 214 51 18 12 13 \n", + "13 : 6068 728 240 48 32 16 22 \n", + "\n", + "T : 85672 9716 3168 766 293 183 202 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.3555e-03 sec\n", + "--- Collate = 5.6224e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.813540e-06 < 1.562500e-03 [87]\n", + "--- Max DT=4.025313e-01 > 1.000000e-01 [68516]\n", + "----------------------------------------------------------------------\n", + " Component | low: 87/100000\n", + " Component | high: 68516/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=80.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0010601 [ 0.38 %]\n", + "Velocity : 0.00306355 [ 1.10 %]\n", + "Force : 0.0597029 [ 21.42 %]\n", + "Coefs : 0.0280516 [ 10.06 %]\n", + "Output : 0.00515458 [ 1.85 %]\n", + "Levels : 0.000301835 [ 0.11 %]\n", + "Report : 6.42e-07 [ 0.00 %]\n", + "Balance : 3.74e-07 [ 0.00 %]\n", + "Adjust : 0.181247 [ 65.02 %]\n", + "Total : 0.27875 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6138 672 230 58 17 15 12 \n", + "1 : 6093 681 248 67 18 19 16 \n", + "2 : 6162 669 210 53 23 14 11 \n", + "3 : 6074 736 233 54 24 12 9 \n", + "4 : 6135 675 234 52 22 11 13 \n", + "5 : 6139 687 199 59 23 16 19 \n", + "6 : 6109 725 209 52 19 13 15 \n", + "7 : 6080 732 236 50 18 11 15 \n", + "8 : 6106 730 204 57 19 9 17 \n", + "9 : 6119 652 257 58 26 11 19 \n", + "10 : 6147 676 215 54 21 14 15 \n", + "11 : 6133 665 250 51 17 12 14 \n", + "12 : 6129 708 205 56 17 16 11 \n", + "13 : 6060 734 245 50 25 21 19 \n", + "\n", + "T : 85624 9742 3175 771 289 194 205 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.9523e-03 sec\n", + "--- Collate = 6.2930e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.234367e-05 < 1.562500e-03 [93]\n", + "--- Max DT=4.030433e-01 > 1.000000e-01 [68505]\n", + "----------------------------------------------------------------------\n", + " Component | low: 93/100000\n", + " Component | high: 68505/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=80.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00105588 [ 0.34 %]\n", + "Velocity : 0.00298201 [ 0.97 %]\n", + "Force : 0.0631984 [ 20.61 %]\n", + "Coefs : 0.0429456 [ 14.01 %]\n", + "Output : 0.00518735 [ 1.69 %]\n", + "Levels : 0.000295409 [ 0.10 %]\n", + "Report : 5.07e-07 [ 0.00 %]\n", + "Balance : 3.91e-07 [ 0.00 %]\n", + "Adjust : 0.19078 [ 62.22 %]\n", + "Total : 0.306609 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6132 674 233 57 20 16 10 \n", + "1 : 6090 681 248 69 18 21 15 \n", + "2 : 6165 661 214 53 20 19 10 \n", + "3 : 6077 733 236 50 28 11 7 \n", + "4 : 6140 674 226 56 20 10 16 \n", + "5 : 6134 693 205 47 22 22 19 \n", + "6 : 6111 716 214 57 17 8 19 \n", + "7 : 6074 732 243 49 22 6 16 \n", + "8 : 6101 737 203 57 16 9 19 \n", + "9 : 6114 659 252 62 24 14 17 \n", + "10 : 6144 679 211 63 19 14 12 \n", + "11 : 6130 663 256 47 22 9 15 \n", + "12 : 6129 702 210 58 14 15 14 \n", + "13 : 6058 737 246 47 23 27 16 \n", + "\n", + "T : 85599 9741 3197 772 285 201 205 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.1%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.3684e-03 sec\n", + "--- Collate = 5.9113e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.891444e-05 < 1.562500e-03 [104]\n", + "--- Max DT=4.035473e-01 > 1.000000e-01 [68511]\n", + "----------------------------------------------------------------------\n", + " Component | low: 104/100000\n", + " Component | high: 68511/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=80.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00106857 [ 0.37 %]\n", + "Velocity : 0.00297845 [ 1.04 %]\n", + "Force : 0.0607233 [ 21.23 %]\n", + "Coefs : 0.028696 [ 10.03 %]\n", + "Output : 0.00529282 [ 1.85 %]\n", + "Levels : 0.00028863 [ 0.10 %]\n", + "Report : 4.61e-07 [ 0.00 %]\n", + "Balance : 3.22e-07 [ 0.00 %]\n", + "Adjust : 0.186778 [ 65.31 %]\n", + "Total : 0.285994 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6127 675 238 55 23 10 14 \n", + "1 : 6082 688 247 67 24 18 16 \n", + "2 : 6165 659 224 43 20 17 14 \n", + "3 : 6081 731 234 50 25 12 9 \n", + "4 : 6131 681 224 58 19 9 20 \n", + "5 : 6121 709 203 44 23 18 24 \n", + "6 : 6109 711 220 54 20 12 16 \n", + "7 : 6073 734 245 45 17 15 13 \n", + "8 : 6104 732 211 51 12 16 16 \n", + "9 : 6106 665 250 62 29 15 15 \n", + "10 : 6144 682 213 60 16 16 11 \n", + "11 : 6124 668 253 47 23 15 12 \n", + "12 : 6129 691 221 55 21 10 15 \n", + "13 : 6061 738 237 52 24 25 17 \n", + "\n", + "T : 85557 9764 3220 743 296 208 212 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.3390e-03 sec\n", + "--- Collate = 6.1445e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.271736e-06 < 1.562500e-03 [99]\n", + "--- Max DT=4.040447e-01 > 1.000000e-01 [68484]\n", + "----------------------------------------------------------------------\n", + " Component | low: 99/100000\n", + " Component | high: 68484/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=80.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0010401 [ 0.37 %]\n", + "Velocity : 0.00307782 [ 1.09 %]\n", + "Force : 0.0613583 [ 21.70 %]\n", + "Coefs : 0.0267994 [ 9.48 %]\n", + "Output : 0.00528285 [ 1.87 %]\n", + "Levels : 0.000276555 [ 0.10 %]\n", + "Report : 6.34e-07 [ 0.00 %]\n", + "Balance : 3.61e-07 [ 0.00 %]\n", + "Adjust : 0.184809 [ 65.35 %]\n", + "Total : 0.282813 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6120 680 241 57 21 7 16 \n", + "1 : 6084 687 239 72 26 17 17 \n", + "2 : 6164 653 230 44 23 12 16 \n", + "3 : 6073 741 224 59 22 17 6 \n", + "4 : 6124 690 217 62 13 17 19 \n", + "5 : 6109 722 201 45 23 19 23 \n", + "6 : 6108 702 226 61 20 13 12 \n", + "7 : 6074 738 232 49 18 18 13 \n", + "8 : 6099 741 207 47 17 18 13 \n", + "9 : 6107 666 249 62 26 18 14 \n", + "10 : 6142 679 221 58 18 11 13 \n", + "11 : 6130 664 255 47 22 11 13 \n", + "12 : 6118 702 219 59 18 10 16 \n", + "13 : 6059 733 243 59 24 17 19 \n", + "\n", + "T : 85511 9798 3204 781 291 205 210 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.2788e-03 sec\n", + "--- Collate = 5.4422e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.731806e-06 < 1.562500e-03 [90]\n", + "--- Max DT=4.045356e-01 > 1.000000e-01 [68457]\n", + "----------------------------------------------------------------------\n", + " Component | low: 90/100000\n", + " Component | high: 68457/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=81] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00105607 [ 0.33 %]\n", + "Velocity : 0.00295713 [ 0.93 %]\n", + "Force : 0.0603649 [ 18.95 %]\n", + "Coefs : 0.0260722 [ 8.18 %]\n", + "Output : 0.0477675 [ 14.99 %]\n", + "Levels : 0.000335807 [ 0.11 %]\n", + "Report : 1.72e-06 [ 0.00 %]\n", + "Balance : 8.38e-07 [ 0.00 %]\n", + "Adjust : 0.179857 [ 56.46 %]\n", + "Total : 0.318585 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6122 680 236 56 21 14 13 \n", + "1 : 6079 694 240 69 24 21 15 \n", + "2 : 6170 651 227 45 19 14 16 \n", + "3 : 6074 739 226 64 16 10 13 \n", + "4 : 6117 699 214 61 15 20 16 \n", + "5 : 6101 726 197 60 21 14 23 \n", + "6 : 6106 692 234 71 22 7 10 \n", + "7 : 6075 741 226 53 17 13 17 \n", + "8 : 6091 751 211 37 24 14 14 \n", + "9 : 6108 666 248 66 22 16 16 \n", + "10 : 6137 684 223 54 21 9 14 \n", + "11 : 6126 669 250 53 19 10 15 \n", + "12 : 6114 703 217 61 20 13 14 \n", + "13 : 6058 735 249 55 22 17 18 \n", + "\n", + "T : 85478 9830 3198 805 283 192 214 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.9923e-03 sec\n", + "--- Collate = 7.4474e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.261630e-06 < 1.562500e-03 [93]\n", + "--- Max DT=4.050197e-01 > 1.000000e-01 [68469]\n", + "----------------------------------------------------------------------\n", + " Component | low: 93/100000\n", + " Component | high: 68469/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=81.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000935855 [ 0.31 %]\n", + "Velocity : 0.0034192 [ 1.11 %]\n", + "Force : 0.0654199 [ 21.32 %]\n", + "Coefs : 0.0302689 [ 9.87 %]\n", + "Output : 0.0056653 [ 1.85 %]\n", + "Levels : 0.000316024 [ 0.10 %]\n", + "Report : 7.65e-07 [ 0.00 %]\n", + "Balance : 4.64e-07 [ 0.00 %]\n", + "Adjust : 0.200578 [ 65.38 %]\n", + "Total : 0.306784 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6122 676 237 67 12 18 10 \n", + "1 : 6085 687 243 68 24 14 21 \n", + "2 : 6161 661 224 46 17 17 16 \n", + "3 : 6076 737 228 55 28 7 11 \n", + "4 : 6119 692 214 65 23 11 18 \n", + "5 : 6100 722 198 63 20 22 17 \n", + "6 : 6107 693 230 69 28 8 7 \n", + "7 : 6066 747 222 63 15 9 20 \n", + "8 : 6089 742 223 38 27 8 15 \n", + "9 : 6106 668 247 69 22 9 21 \n", + "10 : 6131 682 230 53 21 15 10 \n", + "11 : 6128 668 251 51 17 14 13 \n", + "12 : 6103 716 214 59 25 15 10 \n", + "13 : 6057 731 249 50 32 21 14 \n", + "\n", + "T : 85450 9822 3210 816 311 188 203 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.7361e-03 sec\n", + "--- Collate = 5.8283e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.966039e-06 < 1.562500e-03 [102]\n", + "--- Max DT=4.054961e-01 > 1.000000e-01 [68458]\n", + "----------------------------------------------------------------------\n", + " Component | low: 102/100000\n", + " Component | high: 68458/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=81.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00122886 [ 0.39 %]\n", + "Velocity : 0.00329992 [ 1.05 %]\n", + "Force : 0.066479 [ 21.19 %]\n", + "Coefs : 0.0294656 [ 9.39 %]\n", + "Output : 0.00593764 [ 1.89 %]\n", + "Levels : 0.000255939 [ 0.08 %]\n", + "Report : 6.52e-07 [ 0.00 %]\n", + "Balance : 3.79e-07 [ 0.00 %]\n", + "Adjust : 0.206934 [ 65.94 %]\n", + "Total : 0.313798 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6129 664 241 70 12 11 15 \n", + "1 : 6077 692 251 64 20 18 20 \n", + "2 : 6160 662 218 52 20 16 14 \n", + "3 : 6073 736 232 55 26 8 12 \n", + "4 : 6115 696 214 69 19 13 16 \n", + "5 : 6095 726 203 60 22 20 16 \n", + "6 : 6108 687 235 72 24 9 7 \n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "7 : 6066 745 226 59 17 12 17 \n", + "8 : 6085 746 223 46 17 8 17 \n", + "9 : 6105 674 248 66 15 16 18 \n", + "10 : 6134 677 233 55 17 15 11 \n", + "11 : 6125 677 238 59 14 13 16 \n", + "12 : 6104 716 214 54 28 13 13 \n", + "13 : 6057 739 239 52 29 21 17 \n", + "\n", + "T : 85433 9837 3215 833 280 193 209 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.4983e-03 sec\n", + "--- Collate = 5.6549e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.923554e-05 < 1.562500e-03 [77]\n", + "--- Max DT=4.059641e-01 > 1.000000e-01 [68458]\n", + "----------------------------------------------------------------------\n", + " Component | low: 77/100000\n", + " Component | high: 68458/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=81.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00104055 [ 0.35 %]\n", + "Velocity : 0.00307441 [ 1.03 %]\n", + "Force : 0.0654789 [ 21.92 %]\n", + "Coefs : 0.0290478 [ 9.72 %]\n", + "Output : 0.00541433 [ 1.81 %]\n", + "Levels : 0.000246656 [ 0.08 %]\n", + "Report : 6.48e-07 [ 0.00 %]\n", + "Balance : 4.22e-07 [ 0.00 %]\n", + "Adjust : 0.194239 [ 65.02 %]\n", + "Total : 0.298725 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6115 681 234 72 16 11 13 \n", + "1 : 6081 698 241 60 26 10 26 \n", + "2 : 6152 667 218 56 22 11 16 \n", + "3 : 6066 740 236 53 24 15 8 \n", + "4 : 6116 693 219 65 18 14 17 \n", + "5 : 6097 725 206 51 33 13 17 \n", + "6 : 6102 693 236 66 21 18 6 \n", + "7 : 6058 750 226 63 17 19 9 \n", + "8 : 6085 748 226 46 14 9 14 \n", + "9 : 6114 667 244 66 19 16 16 \n", + "10 : 6129 683 232 55 21 7 15 \n", + "11 : 6125 683 229 59 17 14 15 \n", + "12 : 6100 720 212 59 23 15 13 \n", + "13 : 6052 753 233 55 24 18 19 \n", + "\n", + "T : 85392 9901 3192 826 295 190 204 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 1.0666e-02 sec\n", + "--- Collate = 6.3167e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.249371e-06 < 1.562500e-03 [87]\n", + "--- Max DT=4.064229e-01 > 1.000000e-01 [68434]\n", + "----------------------------------------------------------------------\n", + " Component | low: 87/100000\n", + " Component | high: 68434/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=81.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00103342 [ 0.35 %]\n", + "Velocity : 0.00314368 [ 1.08 %]\n", + "Force : 0.0622079 [ 21.35 %]\n", + "Coefs : 0.028007 [ 9.61 %]\n", + "Output : 0.00551023 [ 1.89 %]\n", + "Levels : 0.00031517 [ 0.11 %]\n", + "Report : 6.63e-07 [ 0.00 %]\n", + "Balance : 4.43e-07 [ 0.00 %]\n", + "Adjust : 0.190934 [ 65.54 %]\n", + "Total : 0.291333 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6113 680 237 67 22 12 11 \n", + "1 : 6075 706 230 73 21 17 20 \n", + "2 : 6145 675 212 63 20 15 12 \n", + "3 : 6059 744 237 58 24 8 12 \n", + "4 : 6113 701 210 68 20 18 12 \n", + "5 : 6092 722 213 56 28 16 15 \n", + "6 : 6106 693 235 57 22 12 17 \n", + "7 : 6064 746 228 58 22 11 13 \n", + "8 : 6083 746 223 52 13 14 11 \n", + "9 : 6111 672 242 69 20 14 14 \n", + "10 : 6129 680 233 61 16 10 13 \n", + "11 : 6121 685 236 53 21 13 13 \n", + "12 : 6096 720 216 61 24 10 15 \n", + "13 : 6043 758 236 59 23 13 22 \n", + "\n", + "T : 85350 9928 3188 855 296 183 200 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.9063e-03 sec\n", + "--- Collate = 4.8857e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.090099e-06 < 1.562500e-03 [94]\n", + "--- Max DT=4.068728e-01 > 1.000000e-01 [68375]\n", + "----------------------------------------------------------------------\n", + " Component | low: 94/100000\n", + " Component | high: 68375/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=81.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00103039 [ 0.32 %]\n", + "Velocity : 0.00279076 [ 0.86 %]\n", + "Force : 0.0699274 [ 21.44 %]\n", + "Coefs : 0.0307991 [ 9.44 %]\n", + "Output : 0.00587819 [ 1.80 %]\n", + "Levels : 0.000245876 [ 0.08 %]\n", + "Report : 6.04e-07 [ 0.00 %]\n", + "Balance : 4.32e-07 [ 0.00 %]\n", + "Adjust : 0.215318 [ 66.01 %]\n", + "Total : 0.326179 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6113 676 248 55 28 8 14 \n", + "1 : 6073 707 228 69 29 20 16 \n", + "2 : 6151 668 210 66 20 17 10 \n", + "3 : 6056 748 241 58 18 8 13 \n", + "4 : 6110 694 216 69 21 16 16 \n", + "5 : 6096 715 214 64 15 23 15 \n", + "6 : 6104 698 233 57 16 16 18 \n", + "7 : 6060 749 232 61 17 8 15 \n", + "8 : 6084 744 218 55 16 16 9 \n", + "9 : 6101 677 246 68 22 15 13 \n", + "10 : 6128 682 237 53 19 12 11 \n", + "11 : 6115 686 241 57 21 12 10 \n", + "12 : 6095 718 217 61 24 12 15 \n", + "13 : 6042 750 237 69 23 16 17 \n", + "\n", + "T : 85328 9912 3218 862 289 199 192 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 1.0391e-02 sec\n", + "--- Collate = 1.1329e-04 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.116329e-06 < 1.562500e-03 [88]\n", + "--- Max DT=4.073143e-01 > 1.000000e-01 [68357]\n", + "----------------------------------------------------------------------\n", + " Component | low: 88/100000\n", + " Component | high: 68357/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=81.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000864637 [ 0.25 %]\n", + "Velocity : 0.00305223 [ 0.88 %]\n", + "Force : 0.0849088 [ 24.47 %]\n", + "Coefs : 0.0339605 [ 9.79 %]\n", + "Output : 0.00616447 [ 1.78 %]\n", + "Levels : 0.000297615 [ 0.09 %]\n", + "Report : 7.39e-07 [ 0.00 %]\n", + "Balance : 4.13e-07 [ 0.00 %]\n", + "Adjust : 0.217578 [ 62.70 %]\n", + "Total : 0.34702 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6105 687 242 55 27 13 13 \n", + "1 : 6072 704 230 72 30 16 18 \n", + "2 : 6145 682 200 70 23 9 13 \n", + "3 : 6057 743 248 55 17 10 12 \n", + "4 : 6113 691 222 60 25 12 19 \n", + "5 : 6096 720 210 58 21 22 15 \n", + "6 : 6102 702 236 51 16 12 23 \n", + "7 : 6067 744 230 54 25 6 16 \n", + "8 : 6077 755 221 51 15 12 11 \n", + "9 : 6100 680 245 63 24 11 19 \n", + "10 : 6124 682 238 56 17 12 13 \n", + "11 : 6121 681 245 55 19 10 11 \n", + "12 : 6088 722 223 56 19 18 16 \n", + "13 : 6050 744 237 70 25 11 17 \n", + "\n", + "T : 85317 9937 3227 826 303 174 216 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.5613e-03 sec\n", + "--- Collate = 5.2436e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.632229e-05 < 1.562500e-03 [99]\n", + "--- Max DT=4.077482e-01 > 1.000000e-01 [68321]\n", + "----------------------------------------------------------------------\n", + " Component | low: 99/100000\n", + " Component | high: 68321/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=81.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00144649 [ 0.42 %]\n", + "Velocity : 0.00392633 [ 1.15 %]\n", + "Force : 0.0741117 [ 21.62 %]\n", + "Coefs : 0.0313445 [ 9.15 %]\n", + "Output : 0.00642152 [ 1.87 %]\n", + "Levels : 0.000292693 [ 0.09 %]\n", + "Report : 8.07e-07 [ 0.00 %]\n", + "Balance : 1.983e-05 [ 0.01 %]\n", + "Adjust : 0.224965 [ 65.64 %]\n", + "Total : 0.342738 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6113 677 243 57 23 15 14 \n", + "1 : 6078 691 239 69 34 17 14 \n", + "2 : 6136 688 205 67 20 12 14 \n", + "3 : 6060 746 241 53 18 12 12 \n", + "4 : 6107 697 224 63 13 21 17 \n", + "5 : 6095 720 210 65 19 15 18 \n", + "6 : 6105 695 239 49 15 21 18 \n", + "7 : 6066 737 233 57 21 13 15 \n", + "8 : 6078 752 219 56 17 8 12 \n", + "9 : 6110 672 238 69 20 18 15 \n", + "10 : 6125 679 241 55 18 14 10 \n", + "11 : 6116 682 248 56 21 8 11 \n", + "12 : 6090 716 220 59 24 15 18 \n", + "13 : 6050 743 236 71 28 12 14 \n", + "\n", + "T : 85329 9895 3236 846 291 201 202 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.1%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.0065e-03 sec\n", + "--- Collate = 7.0759e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.129737e-05 < 1.562500e-03 [86]\n", + "--- Max DT=4.081742e-01 > 1.000000e-01 [68300]\n", + "----------------------------------------------------------------------\n", + " Component | low: 86/100000\n", + " Component | high: 68300/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=81.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00095255 [ 0.32 %]\n", + "Velocity : 0.00265129 [ 0.88 %]\n", + "Force : 0.0670848 [ 22.20 %]\n", + "Coefs : 0.0302912 [ 10.02 %]\n", + "Output : 0.00559071 [ 1.85 %]\n", + "Levels : 0.000281107 [ 0.09 %]\n", + "Report : 6.77e-07 [ 0.00 %]\n", + "Balance : 3.55e-07 [ 0.00 %]\n", + "Adjust : 0.19514 [ 64.58 %]\n", + "Total : 0.302172 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6117 674 239 60 20 18 14 \n", + "1 : 6080 685 246 64 31 21 15 \n", + "2 : 6140 690 197 65 25 13 12 \n", + "3 : 6056 752 243 50 15 16 10 \n", + "4 : 6105 698 227 60 17 17 18 \n", + "5 : 6084 733 204 65 22 17 17 \n", + "6 : 6105 696 233 53 23 14 18 \n", + "7 : 6070 730 229 63 18 15 17 \n", + "8 : 6074 749 223 54 23 10 9 \n", + "9 : 6107 669 246 66 19 13 22 \n", + "10 : 6115 689 238 56 16 12 16 \n", + "11 : 6101 694 250 60 19 5 13 \n", + "12 : 6085 721 225 58 23 12 18 \n", + "13 : 6056 739 235 72 27 15 10 \n", + "\n", + "T : 85295 9919 3235 846 298 198 209 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.2468e-03 sec\n", + "--- Collate = 5.4686e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.630989e-06 < 1.562500e-03 [92]\n", + "--- Max DT=4.085927e-01 > 1.000000e-01 [68285]\n", + "----------------------------------------------------------------------\n", + " Component | low: 92/100000\n", + " Component | high: 68285/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=81.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00128986 [ 0.41 %]\n", + "Velocity : 0.00351705 [ 1.12 %]\n", + "Force : 0.0652143 [ 20.81 %]\n", + "Coefs : 0.0294411 [ 9.40 %]\n", + "Output : 0.00582638 [ 1.86 %]\n", + "Levels : 0.000276582 [ 0.09 %]\n", + "Report : 7.37e-07 [ 0.00 %]\n", + "Balance : 3.48e-07 [ 0.00 %]\n", + "Adjust : 0.20761 [ 66.25 %]\n", + "Total : 0.313368 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6110 677 244 63 12 17 19 \n", + "1 : 6080 682 244 71 30 20 15 \n", + "2 : 6137 692 206 58 24 10 15 \n", + "3 : 6053 756 244 50 17 9 13 \n", + "4 : 6108 695 225 61 16 21 16 \n", + "5 : 6083 723 207 72 23 16 18 \n", + "6 : 6107 692 236 53 27 14 13 \n", + "7 : 6070 728 228 62 20 15 19 \n", + "8 : 6077 739 225 60 22 13 6 \n", + "9 : 6108 665 243 71 26 11 18 \n", + "10 : 6119 687 239 55 17 7 18 \n", + "11 : 6101 696 249 58 15 16 7 \n", + "12 : 6080 722 234 50 28 14 14 \n", + "13 : 6051 748 230 75 28 12 10 \n", + "\n", + "T : 85284 9902 3254 859 305 195 201 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.5746e-03 sec\n", + "--- Collate = 4.8050e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.327250e-06 < 1.562500e-03 [103]\n", + "--- Max DT=4.090040e-01 > 1.000000e-01 [68284]\n", + "----------------------------------------------------------------------\n", + " Component | low: 103/100000\n", + " Component | high: 68284/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=82] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00110235 [ 0.32 %]\n", + "Velocity : 0.00313623 [ 0.92 %]\n", + "Force : 0.063533 [ 18.65 %]\n", + "Coefs : 0.0288819 [ 8.48 %]\n", + "Output : 0.04597 [ 13.49 %]\n", + "Levels : 0.0002499 [ 0.07 %]\n", + "Report : 1.428e-06 [ 0.00 %]\n", + "Balance : 9.1e-07 [ 0.00 %]\n", + "Adjust : 0.197672 [ 58.01 %]\n", + "Total : 0.340729 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6105 678 245 56 25 14 19 \n", + "1 : 6077 687 248 59 33 16 22 \n", + "2 : 6138 689 206 60 20 16 13 \n", + "3 : 6048 756 247 57 12 6 16 \n", + "4 : 6104 697 228 54 25 17 17 \n", + "5 : 6078 735 207 65 22 15 20 \n", + "6 : 6102 697 233 63 21 15 11 \n", + "7 : 6071 725 233 58 23 12 20 \n", + "8 : 6086 724 230 59 21 14 8 \n", + "9 : 6099 676 239 67 29 13 19 \n", + "10 : 6112 694 236 53 21 11 15 \n", + "11 : 6091 707 242 62 18 10 12 \n", + "12 : 6079 716 238 49 32 16 12 \n", + "13 : 6054 747 231 71 19 20 12 \n", + "\n", + "T : 85244 9928 3263 833 321 195 216 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.1066e-03 sec\n", + "--- Collate = 6.6154e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.118551e-06 < 1.562500e-03 [101]\n", + "--- Max DT=4.094076e-01 > 1.000000e-01 [68274]\n", + "----------------------------------------------------------------------\n", + " Component | low: 101/100000\n", + " Component | high: 68274/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=82.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000658844 [ 0.22 %]\n", + "Velocity : 0.00257764 [ 0.88 %]\n", + "Force : 0.062637 [ 21.38 %]\n", + "Coefs : 0.028898 [ 9.86 %]\n", + "Output : 0.00384809 [ 1.31 %]\n", + "Levels : 0.000255145 [ 0.09 %]\n", + "Report : 9.98e-07 [ 0.00 %]\n", + "Balance : 5.87e-07 [ 0.00 %]\n", + "Adjust : 0.193942 [ 66.19 %]\n", + "Total : 0.293021 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6109 675 244 51 29 16 18 \n", + "1 : 6071 691 256 54 26 19 25 \n", + "2 : 6123 704 208 60 17 13 17 \n", + "3 : 6049 752 246 60 15 6 14 \n", + "4 : 6095 701 227 65 24 14 16 \n", + "5 : 6071 743 204 66 24 16 18 \n", + "6 : 6108 698 222 68 20 11 15 \n", + "7 : 6073 713 243 60 20 16 17 \n", + "8 : 6082 725 238 53 21 7 16 \n", + "9 : 6107 660 249 70 22 16 18 \n", + "10 : 6109 696 238 52 19 17 11 \n", + "11 : 6089 709 242 62 14 15 11 \n", + "12 : 6081 711 247 48 25 15 15 \n", + "13 : 6056 744 235 65 20 16 18 \n", + "\n", + "T : 85223 9922 3299 834 296 197 229 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.2515e-03 sec\n", + "--- Collate = 6.2651e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.176377e-06 < 1.562500e-03 [103]\n", + "--- Max DT=4.098041e-01 > 1.000000e-01 [68259]\n", + "----------------------------------------------------------------------\n", + " Component | low: 103/100000\n", + " Component | high: 68259/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=82.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000640936 [ 0.23 %]\n", + "Velocity : 0.00187194 [ 0.67 %]\n", + "Force : 0.0606461 [ 21.74 %]\n", + "Coefs : 0.0288456 [ 10.34 %]\n", + "Output : 0.00260326 [ 0.93 %]\n", + "Levels : 0.000224964 [ 0.08 %]\n", + "Report : 9.32e-07 [ 0.00 %]\n", + "Balance : 5.39e-07 [ 0.00 %]\n", + "Adjust : 0.184015 [ 65.95 %]\n", + "Total : 0.279015 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6106 679 246 55 23 17 16 \n", + "1 : 6071 686 252 64 23 18 28 \n", + "2 : 6131 689 215 59 19 13 16 \n", + "3 : 6052 747 243 66 13 11 10 \n", + "4 : 6093 704 224 61 29 16 15 \n", + "5 : 6067 745 205 63 28 16 18 \n", + "6 : 6105 689 236 61 27 11 13 \n", + "7 : 6073 705 250 58 20 21 15 \n", + "8 : 6081 728 241 52 15 8 17 \n", + "9 : 6104 669 243 70 21 19 16 \n", + "10 : 6109 699 234 50 31 8 11 \n", + "11 : 6089 709 239 65 11 11 18 \n", + "12 : 6078 716 247 48 24 11 18 \n", + "13 : 6049 748 242 61 23 9 22 \n", + "\n", + "T : 85208 9913 3317 833 307 189 233 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.8467e-03 sec\n", + "--- Collate = 7.3127e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.684664e-06 < 1.562500e-03 [113]\n", + "--- Max DT=4.101931e-01 > 1.000000e-01 [68265]\n", + "----------------------------------------------------------------------\n", + " Component | low: 113/100000\n", + " Component | high: 68265/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=82.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000511951 [ 0.16 %]\n", + "Velocity : 0.00252196 [ 0.79 %]\n", + "Force : 0.0633192 [ 19.84 %]\n", + "Coefs : 0.0433866 [ 13.60 %]\n", + "Output : 0.00363591 [ 1.14 %]\n", + "Levels : 0.000240875 [ 0.08 %]\n", + "Report : 1.057e-06 [ 0.00 %]\n", + "Balance : 4.91e-07 [ 0.00 %]\n", + "Adjust : 0.205257 [ 64.33 %]\n", + "Total : 0.319069 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6107 675 247 55 24 17 17 \n", + "1 : 6070 693 248 67 21 22 21 \n", + "2 : 6123 697 212 60 24 9 17 \n", + "3 : 6043 760 242 56 16 15 10 \n", + "4 : 6090 709 222 56 28 24 13 \n", + "5 : 6060 747 207 68 21 21 18 \n", + "6 : 6103 689 239 62 19 21 9 \n", + "7 : 6069 704 251 61 28 15 14 \n", + "8 : 6081 732 232 58 10 12 17 \n", + "9 : 6100 675 239 74 26 12 16 \n", + "10 : 6105 695 241 57 24 12 8 \n", + "11 : 6080 715 237 70 9 14 17 \n", + "12 : 6070 723 243 59 15 12 20 \n", + "13 : 6041 753 243 69 14 10 24 \n", + "\n", + "T : 85142 9967 3303 872 279 216 221 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.2%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.6547e-03 sec\n", + "--- Collate = 8.4826e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.577523e-06 < 1.562500e-03 [104]\n", + "--- Max DT=4.105748e-01 > 1.000000e-01 [68212]\n", + "----------------------------------------------------------------------\n", + " Component | low: 104/100000\n", + " Component | high: 68212/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=82.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000566798 [ 0.21 %]\n", + "Velocity : 0.00182339 [ 0.68 %]\n", + "Force : 0.0599124 [ 22.42 %]\n", + "Coefs : 0.0281394 [ 10.53 %]\n", + "Output : 0.00250152 [ 0.94 %]\n", + "Levels : 0.000162172 [ 0.06 %]\n", + "Report : 7.35e-07 [ 0.00 %]\n", + "Balance : 4.13e-07 [ 0.00 %]\n", + "Adjust : 0.173921 [ 65.09 %]\n", + "Total : 0.267189 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6101 676 247 62 23 18 15 \n", + "1 : 6074 690 246 64 28 23 17 \n", + "2 : 6119 701 210 63 21 11 17 \n", + "3 : 6033 769 243 55 22 10 10 \n", + "4 : 6089 703 223 65 27 16 19 \n", + "5 : 6060 744 213 64 27 15 19 \n", + "6 : 6109 682 239 68 11 16 17 \n", + "7 : 6068 708 244 63 27 16 16 \n", + "8 : 6086 729 234 52 15 15 11 \n", + "9 : 6103 671 245 71 24 14 14 \n", + "10 : 6108 694 239 52 25 15 9 \n", + "11 : 6082 703 247 62 19 11 18 \n", + "12 : 6067 722 242 67 15 9 20 \n", + "13 : 6046 741 255 61 14 20 17 \n", + "\n", + "T : 85145 9933 3327 869 298 209 219 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.8679e-03 sec\n", + "--- Collate = 7.3600e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.667318e-06 < 1.562500e-03 [93]\n", + "--- Max DT=4.109487e-01 > 1.000000e-01 [68219]\n", + "----------------------------------------------------------------------\n", + " Component | low: 93/100000\n", + " Component | high: 68219/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=82.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000396737 [ 0.15 %]\n", + "Velocity : 0.0018308 [ 0.69 %]\n", + "Force : 0.0608633 [ 22.79 %]\n", + "Coefs : 0.0289841 [ 10.85 %]\n", + "Output : 0.00252246 [ 0.94 %]\n", + "Levels : 0.000190597 [ 0.07 %]\n", + "Report : 8.94e-07 [ 0.00 %]\n", + "Balance : 3.96e-07 [ 0.00 %]\n", + "Adjust : 0.172089 [ 64.44 %]\n", + "Total : 0.267037 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6092 685 246 64 23 16 16 \n", + "1 : 6073 702 233 65 32 18 19 \n", + "2 : 6117 699 218 61 16 16 15 \n", + "3 : 6029 774 237 60 18 14 10 \n", + "4 : 6081 710 221 64 29 12 25 \n", + "5 : 6051 750 215 66 25 19 16 \n", + "6 : 6120 674 233 73 9 12 21 \n", + "7 : 6063 711 243 68 21 18 18 \n", + "8 : 6079 730 234 53 27 10 9 \n", + "9 : 6102 671 242 73 23 18 13 \n", + "10 : 6101 709 229 50 25 15 13 \n", + "11 : 6078 703 254 51 25 20 11 \n", + "12 : 6062 718 252 63 23 7 17 \n", + "13 : 6043 738 260 56 27 14 16 \n", + "\n", + "T : 85091 9974 3317 867 323 209 219 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.7751e-03 sec\n", + "--- Collate = 7.4141e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.278792e-06 < 1.562500e-03 [101]\n", + "--- Max DT=4.113147e-01 > 1.000000e-01 [68193]\n", + "----------------------------------------------------------------------\n", + " Component | low: 101/100000\n", + " Component | high: 68193/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=82.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000479367 [ 0.18 %]\n", + "Velocity : 0.00235427 [ 0.88 %]\n", + "Force : 0.0587021 [ 21.97 %]\n", + "Coefs : 0.0287738 [ 10.77 %]\n", + "Output : 0.00241894 [ 0.91 %]\n", + "Levels : 0.000225084 [ 0.08 %]\n", + "Report : 1.168e-06 [ 0.00 %]\n", + "Balance : 5.03e-07 [ 0.00 %]\n", + "Adjust : 0.174098 [ 65.16 %]\n", + "Total : 0.267203 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6090 679 242 76 21 18 16 \n", + "1 : 6069 699 235 64 40 17 18 \n", + "2 : 6118 693 221 65 19 9 17 \n", + "3 : 6021 778 234 66 17 13 13 \n", + "4 : 6076 717 222 63 25 15 24 \n", + "5 : 6043 751 224 59 33 17 15 \n", + "6 : 6115 679 235 65 12 14 22 \n", + "7 : 6064 720 234 65 24 10 25 \n", + "8 : 6086 725 231 60 23 8 9 \n", + "9 : 6101 671 240 73 24 20 13 \n", + "10 : 6095 713 225 56 21 13 19 \n", + "11 : 6075 706 252 53 27 20 9 \n", + "12 : 6063 719 249 65 21 14 11 \n", + "13 : 6047 732 257 61 28 14 15 \n", + "\n", + "T : 85063 9982 3301 891 335 202 226 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.1242e-03 sec\n", + "--- Collate = 6.6640e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.123809e-06 < 1.562500e-03 [102]\n", + "--- Max DT=4.116728e-01 > 1.000000e-01 [68194]\n", + "----------------------------------------------------------------------\n", + " Component | low: 102/100000\n", + " Component | high: 68194/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=82.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00062025 [ 0.23 %]\n", + "Velocity : 0.00207388 [ 0.76 %]\n", + "Force : 0.0602392 [ 22.07 %]\n", + "Coefs : 0.0291848 [ 10.69 %]\n", + "Output : 0.00279339 [ 1.02 %]\n", + "Levels : 0.000199556 [ 0.07 %]\n", + "Report : 8e-07 [ 0.00 %]\n", + "Balance : 4.26e-07 [ 0.00 %]\n", + "Adjust : 0.177632 [ 65.09 %]\n", + "Total : 0.272906 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6097 667 251 67 24 19 17 \n", + "1 : 6065 699 240 71 27 20 20 \n", + "2 : 6115 689 232 60 20 14 12 \n", + "3 : 6022 775 232 68 21 7 17 \n", + "4 : 6076 723 214 65 21 22 21 \n", + "5 : 6047 743 223 67 22 25 15 \n", + "6 : 6113 684 232 58 18 16 21 \n", + "7 : 6062 719 239 62 26 14 20 \n", + "8 : 6083 734 225 56 28 8 8 \n", + "9 : 6095 673 245 74 23 15 17 \n", + "10 : 6093 710 230 54 22 13 20 \n", + "11 : 6065 712 249 56 28 19 13 \n", + "12 : 6063 704 262 64 27 14 8 \n", + "13 : 6048 729 257 61 26 17 16 \n", + "\n", + "T : 85044 9961 3331 883 333 223 225 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.5201e-03 sec\n", + "--- Collate = 7.4236e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.502427e-06 < 1.562500e-03 [104]\n", + "--- Max DT=4.120232e-01 > 1.000000e-01 [68185]\n", + "----------------------------------------------------------------------\n", + " Component | low: 104/100000\n", + " Component | high: 68185/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=82.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000644844 [ 0.22 %]\n", + "Velocity : 0.00226727 [ 0.77 %]\n", + "Force : 0.063696 [ 21.56 %]\n", + "Coefs : 0.029669 [ 10.04 %]\n", + "Output : 0.00342443 [ 1.16 %]\n", + "Levels : 0.00029428 [ 0.10 %]\n", + "Report : 1.153e-06 [ 0.00 %]\n", + "Balance : 7.34e-07 [ 0.00 %]\n", + "Adjust : 0.195313 [ 66.10 %]\n", + "Total : 0.295482 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6096 668 253 66 25 15 19 \n", + "1 : 6069 695 243 66 27 21 21 \n", + "2 : 6117 683 238 60 26 8 10 \n", + "3 : 6020 778 236 62 26 6 14 \n", + "4 : 6068 721 226 64 24 19 20 \n", + "5 : 6054 734 232 63 16 24 19 \n", + "6 : 6109 679 231 63 20 22 18 \n", + "7 : 6051 728 239 65 19 22 18 \n", + "8 : 6088 727 224 53 28 12 10 \n", + "9 : 6100 667 248 72 23 12 20 \n", + "10 : 6100 704 229 50 22 14 23 \n", + "11 : 6066 704 257 58 26 13 18 \n", + "12 : 6062 708 258 61 30 12 11 \n", + "13 : 6046 723 261 66 24 15 19 \n", + "\n", + "T : 85046 9919 3375 869 336 215 240 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.8366e-03 sec\n", + "--- Collate = 6.1678e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.742311e-06 < 1.562500e-03 [110]\n", + "--- Max DT=4.123664e-01 > 1.000000e-01 [68149]\n", + "----------------------------------------------------------------------\n", + " Component | low: 110/100000\n", + " Component | high: 68149/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=82.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000627885 [ 0.22 %]\n", + "Velocity : 0.00209067 [ 0.75 %]\n", + "Force : 0.0622769 [ 22.23 %]\n", + "Coefs : 0.0298913 [ 10.67 %]\n", + "Output : 0.00293987 [ 1.05 %]\n", + "Levels : 0.000198276 [ 0.07 %]\n", + "Report : 8.48e-07 [ 0.00 %]\n", + "Balance : 4.5e-07 [ 0.00 %]\n", + "Adjust : 0.181938 [ 64.95 %]\n", + "Total : 0.280127 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6092 669 252 70 22 20 17 \n", + "1 : 6066 696 245 66 24 22 23 \n", + "2 : 6106 688 241 66 18 16 7 \n", + "3 : 6019 773 240 61 24 14 11 \n", + "4 : 6060 733 225 60 30 19 15 \n", + "5 : 6061 730 232 63 18 15 23 \n", + "6 : 6103 687 224 69 28 17 14 \n", + "7 : 6050 722 251 62 20 23 14 \n", + "8 : 6088 720 232 54 20 13 15 \n", + "9 : 6095 669 251 65 25 25 12 \n", + "10 : 6103 708 220 52 20 18 21 \n", + "11 : 6068 701 257 54 21 18 23 \n", + "12 : 6059 710 262 61 22 14 14 \n", + "13 : 6042 722 266 72 15 19 18 \n", + "\n", + "T : 85012 9928 3398 875 307 253 227 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.8311e-03 sec\n", + "--- Collate = 6.0937e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.991667e-06 < 1.562500e-03 [117]\n", + "--- Max DT=4.127022e-01 > 1.000000e-01 [68156]\n", + "----------------------------------------------------------------------\n", + " Component | low: 117/100000\n", + " Component | high: 68156/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=83] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000506346 [ 0.17 %]\n", + "Velocity : 0.00172032 [ 0.58 %]\n", + "Force : 0.059894 [ 20.28 %]\n", + "Coefs : 0.0285225 [ 9.66 %]\n", + "Output : 0.0309806 [ 10.49 %]\n", + "Levels : 0.000203055 [ 0.07 %]\n", + "Report : 1.407e-06 [ 0.00 %]\n", + "Balance : 5.34e-07 [ 0.00 %]\n", + "Adjust : 0.173438 [ 58.71 %]\n", + "Total : 0.295406 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6088 668 257 64 28 20 17 \n", + "1 : 6069 691 246 65 30 14 27 \n", + "2 : 6108 681 249 53 26 15 10 \n", + "3 : 6019 771 240 60 28 13 11 \n", + "4 : 6062 732 234 53 26 23 12 \n", + "5 : 6064 722 241 58 20 16 21 \n", + "6 : 6101 693 219 73 24 12 20 \n", + "7 : 6054 716 252 66 25 12 17 \n", + "8 : 6086 716 238 49 20 15 18 \n", + "9 : 6098 666 246 68 25 22 17 \n", + "10 : 6106 699 226 51 23 18 19 \n", + "11 : 6073 698 255 57 18 17 24 \n", + "12 : 6056 707 263 65 19 12 20 \n", + "13 : 6039 728 265 66 21 14 21 \n", + "\n", + "T : 85023 9888 3431 848 333 223 254 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.6578e-03 sec\n", + "--- Collate = 6.2393e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.064771e-06 < 1.562500e-03 [118]\n", + "--- Max DT=4.130309e-01 > 1.000000e-01 [68165]\n", + "----------------------------------------------------------------------\n", + " Component | low: 118/100000\n", + " Component | high: 68165/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=83.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000508628 [ 0.19 %]\n", + "Velocity : 0.00181612 [ 0.70 %]\n", + "Force : 0.0596596 [ 22.84 %]\n", + "Coefs : 0.0283444 [ 10.85 %]\n", + "Output : 0.00204648 [ 0.78 %]\n", + "Levels : 0.000193349 [ 0.07 %]\n", + "Report : 8.13e-07 [ 0.00 %]\n", + "Balance : 3.35e-07 [ 0.00 %]\n", + "Adjust : 0.168465 [ 64.50 %]\n", + "Total : 0.261173 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6087 668 256 69 27 16 19 \n", + "1 : 6072 687 246 70 25 19 23 \n", + "2 : 6113 678 248 55 21 13 14 \n", + "3 : 6015 770 243 65 24 12 13 \n", + "4 : 6068 725 230 65 20 18 16 \n", + "5 : 6054 732 243 51 24 16 22 \n", + "6 : 6093 692 229 74 18 18 18 \n", + "7 : 6058 704 260 71 21 13 15 \n", + "8 : 6098 700 241 45 22 14 22 \n", + "9 : 6100 672 240 67 25 19 19 \n", + "10 : 6109 694 222 60 28 13 16 \n", + "11 : 6073 702 251 53 19 27 17 \n", + "12 : 6053 712 262 65 16 11 23 \n", + "13 : 6026 739 270 58 27 17 17 \n", + "\n", + "T : 85019 9875 3441 868 317 226 254 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.3604e-03 sec\n", + "--- Collate = 6.2713e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.672810e-05 < 1.562500e-03 [107]\n", + "--- Max DT=4.133529e-01 > 1.000000e-01 [68161]\n", + "----------------------------------------------------------------------\n", + " Component | low: 107/100000\n", + " Component | high: 68161/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=83.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00040684 [ 0.16 %]\n", + "Velocity : 0.00192725 [ 0.75 %]\n", + "Force : 0.0583987 [ 22.61 %]\n", + "Coefs : 0.0273959 [ 10.61 %]\n", + "Output : 0.00213492 [ 0.83 %]\n", + "Levels : 0.000215022 [ 0.08 %]\n", + "Report : 8.5e-07 [ 0.00 %]\n", + "Balance : 4.45e-07 [ 0.00 %]\n", + "Adjust : 0.167606 [ 64.91 %]\n", + "Total : 0.25823 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6085 662 257 75 30 12 21 \n", + "1 : 6073 689 244 71 24 19 22 \n", + "2 : 6108 685 246 57 21 6 19 \n", + "3 : 6015 766 250 62 22 13 14 \n", + "4 : 6071 722 232 68 17 14 18 \n", + "5 : 6049 734 243 53 22 22 19 \n", + "6 : 6095 688 233 68 22 15 21 \n", + "7 : 6057 703 263 67 20 21 11 \n", + "8 : 6089 712 236 51 21 15 18 \n", + "9 : 6095 678 243 66 23 16 21 \n", + "10 : 6101 703 216 68 25 18 11 \n", + "11 : 6076 695 248 54 29 25 15 \n", + "12 : 6051 716 262 63 15 17 18 \n", + "13 : 6031 730 269 61 26 20 17 \n", + "\n", + "T : 84996 9883 3442 884 317 233 245 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.9182e-03 sec\n", + "--- Collate = 6.2497e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.145453e-07 < 1.562500e-03 [109]\n", + "--- Max DT=4.136686e-01 > 1.000000e-01 [68172]\n", + "----------------------------------------------------------------------\n", + " Component | low: 109/100000\n", + " Component | high: 68172/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=83.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000527267 [ 0.20 %]\n", + "Velocity : 0.00160784 [ 0.60 %]\n", + "Force : 0.059507 [ 22.05 %]\n", + "Coefs : 0.0282286 [ 10.46 %]\n", + "Output : 0.00193353 [ 0.72 %]\n", + "Levels : 0.000203522 [ 0.08 %]\n", + "Report : 9.35e-07 [ 0.00 %]\n", + "Balance : 4.21e-07 [ 0.00 %]\n", + "Adjust : 0.177671 [ 65.85 %]\n", + "Total : 0.26983 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6086 667 251 80 23 12 23 \n", + "1 : 6081 687 237 70 30 22 15 \n", + "2 : 6107 694 236 57 14 13 21 \n", + "3 : 6007 766 252 71 19 11 16 \n", + "4 : 6065 718 241 66 22 9 21 \n", + "5 : 6042 730 253 56 24 21 16 \n", + "6 : 6093 688 233 63 28 16 21 \n", + "7 : 6052 715 258 59 20 24 14 \n", + "8 : 6090 705 242 54 18 16 17 \n", + "9 : 6088 685 233 73 25 20 18 \n", + "10 : 6094 715 210 79 19 14 11 \n", + "11 : 6076 691 244 61 36 17 17 \n", + "12 : 6049 714 265 63 21 14 16 \n", + "13 : 6029 722 273 68 25 17 20 \n", + "\n", + "T : 84959 9897 3428 920 324 226 246 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.4686e-03 sec\n", + "--- Collate = 6.3241e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.479547e-06 < 1.562500e-03 [123]\n", + "--- Max DT=4.139777e-01 > 1.000000e-01 [68167]\n", + "----------------------------------------------------------------------\n", + " Component | low: 123/100000\n", + " Component | high: 68167/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=83.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000491757 [ 0.19 %]\n", + "Velocity : 0.00197478 [ 0.75 %]\n", + "Force : 0.0591033 [ 22.49 %]\n", + "Coefs : 0.0274882 [ 10.46 %]\n", + "Output : 0.00264413 [ 1.01 %]\n", + "Levels : 0.000230381 [ 0.09 %]\n", + "Report : 9.88e-07 [ 0.00 %]\n", + "Balance : 5.97e-07 [ 0.00 %]\n", + "Adjust : 0.170678 [ 64.95 %]\n", + "Total : 0.262769 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6081 670 252 74 31 15 19 \n", + "1 : 6074 689 240 72 34 14 19 \n", + "2 : 6100 699 238 58 12 18 17 \n", + "3 : 6003 753 268 69 22 13 14 \n", + "4 : 6066 713 244 65 19 16 19 \n", + "5 : 6041 732 253 51 29 11 25 \n", + "6 : 6099 680 238 61 24 17 23 \n", + "7 : 6044 723 257 57 26 15 20 \n", + "8 : 6095 697 241 56 21 15 17 \n", + "9 : 6087 686 239 68 28 14 20 \n", + "10 : 6085 727 211 75 20 10 14 \n", + "11 : 6076 690 249 58 34 20 15 \n", + "12 : 6049 706 273 64 22 15 13 \n", + "13 : 6027 720 279 65 29 12 22 \n", + "\n", + "T : 84927 9885 3482 893 351 205 257 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 9.1297e-03 sec\n", + "--- Collate = 6.5468e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.402475e-06 < 1.562500e-03 [105]\n", + "--- Max DT=4.142792e-01 > 1.000000e-01 [68153]\n", + "----------------------------------------------------------------------\n", + " Component | low: 105/100000\n", + " Component | high: 68153/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=83.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000614202 [ 0.22 %]\n", + "Velocity : 0.00203117 [ 0.72 %]\n", + "Force : 0.0653765 [ 23.32 %]\n", + "Coefs : 0.0303781 [ 10.83 %]\n", + "Output : 0.00320077 [ 1.14 %]\n", + "Levels : 0.000274151 [ 0.10 %]\n", + "Report : 7.63e-07 [ 0.00 %]\n", + "Balance : 5.18e-07 [ 0.00 %]\n", + "Adjust : 0.178319 [ 63.60 %]\n", + "Total : 0.280379 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6076 674 251 77 22 24 18 \n", + "1 : 6067 696 240 69 35 20 15 \n", + "2 : 6090 717 232 53 22 10 18 \n", + "3 : 5999 757 267 65 25 17 12 \n", + "4 : 6064 709 255 57 23 21 13 \n", + "5 : 6047 727 253 51 25 16 23 \n", + "6 : 6101 668 245 62 26 18 22 \n", + "7 : 6048 713 263 58 21 17 22 \n", + "8 : 6097 701 229 67 18 13 17 \n", + "9 : 6087 689 234 65 31 19 17 \n", + "10 : 6080 729 210 72 27 13 11 \n", + "11 : 6077 689 241 67 30 19 19 \n", + "12 : 6045 712 270 64 24 14 13 \n", + "13 : 6024 715 281 71 27 16 20 \n", + "\n", + "T : 84902 9896 3471 898 356 237 240 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 9.6879e-03 sec\n", + "--- Collate = 8.2118e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.028520e-05 < 1.562500e-03 [102]\n", + "--- Max DT=4.145745e-01 > 1.000000e-01 [68161]\n", + "----------------------------------------------------------------------\n", + " Component | low: 102/100000\n", + " Component | high: 68161/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=83.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000462135 [ 0.17 %]\n", + "Velocity : 0.00165731 [ 0.62 %]\n", + "Force : 0.0656478 [ 24.70 %]\n", + "Coefs : 0.0303888 [ 11.43 %]\n", + "Output : 0.0027464 [ 1.03 %]\n", + "Levels : 0.000286037 [ 0.11 %]\n", + "Report : 1.128e-06 [ 0.00 %]\n", + "Balance : 6.96e-07 [ 0.00 %]\n", + "Adjust : 0.164437 [ 61.87 %]\n", + "Total : 0.265791 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6072 677 252 83 18 24 16 \n", + "1 : 6059 707 239 71 27 25 14 \n", + "2 : 6091 722 224 59 22 14 10 \n", + "3 : 6001 755 259 74 23 15 15 \n", + "4 : 6062 709 253 62 26 16 14 \n", + "5 : 6038 737 247 57 22 21 20 \n", + "6 : 6092 677 244 64 27 17 21 \n", + "7 : 6051 712 256 59 20 22 22 \n", + "8 : 6088 714 226 69 18 16 11 \n", + "9 : 6093 679 239 60 35 20 16 \n", + "10 : 6085 721 215 68 24 17 12 \n", + "11 : 6076 685 245 71 30 15 20 \n", + "12 : 6050 711 261 71 17 15 17 \n", + "13 : 6026 712 285 64 33 13 21 \n", + "\n", + "T : 84884 9918 3445 932 342 250 229 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.6520e-03 sec\n", + "--- Collate = 8.9188e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.982249e-06 < 1.562500e-03 [109]\n", + "--- Max DT=4.148915e-01 > 1.000000e-01 [68179]\n", + "----------------------------------------------------------------------\n", + " Component | low: 109/100000\n", + " Component | high: 68179/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=83.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000529562 [ 0.20 %]\n", + "Velocity : 0.00171626 [ 0.63 %]\n", + "Force : 0.0657561 [ 24.27 %]\n", + "Coefs : 0.0296454 [ 10.94 %]\n", + "Output : 0.00327987 [ 1.21 %]\n", + "Levels : 0.000236787 [ 0.09 %]\n", + "Report : 1.145e-06 [ 0.00 %]\n", + "Balance : 6.05e-07 [ 0.00 %]\n", + "Adjust : 0.16965 [ 62.60 %]\n", + "Total : 0.27099 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6073 675 255 77 26 16 20 \n", + "1 : 6061 709 245 61 28 19 19 \n", + "2 : 6087 725 224 61 22 15 8 \n", + "3 : 6003 760 252 75 20 12 20 \n", + "4 : 6052 717 251 65 31 9 17 \n", + "5 : 6040 731 249 58 21 21 22 \n", + "6 : 6091 683 245 62 20 27 14 \n", + "7 : 6048 711 257 69 12 21 24 \n", + "8 : 6081 715 230 71 23 12 10 \n", + "9 : 6098 668 243 62 33 18 20 \n", + "10 : 6087 717 218 72 17 14 17 \n", + "11 : 6070 698 240 69 21 19 25 \n", + "12 : 6048 722 247 64 32 13 16 \n", + "13 : 6023 713 283 70 26 19 20 \n", + "\n", + "T : 84862 9944 3439 936 332 235 252 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 1.1225e-02 sec\n", + "--- Collate = 7.8241e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.704326e-07 < 1.562500e-03 [122]\n", + "--- Max DT=4.152021e-01 > 1.000000e-01 [68202]\n", + "----------------------------------------------------------------------\n", + " Component | low: 122/100000\n", + " Component | high: 68202/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=83.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000576836 [ 0.18 %]\n", + "Velocity : 0.00226863 [ 0.69 %]\n", + "Force : 0.0767178 [ 23.49 %]\n", + "Coefs : 0.0380324 [ 11.65 %]\n", + "Output : 0.00424941 [ 1.30 %]\n", + "Levels : 0.00023101 [ 0.07 %]\n", + "Report : 1.391e-06 [ 0.00 %]\n", + "Balance : 4.91e-07 [ 0.00 %]\n", + "Adjust : 0.204243 [ 62.55 %]\n", + "Total : 0.326543 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6072 676 249 84 30 15 16 \n", + "1 : 6051 712 249 62 30 17 21 \n", + "2 : 6088 721 229 60 24 11 9 \n", + "3 : 5998 770 252 64 24 17 17 \n", + "4 : 6055 714 253 63 30 11 16 \n", + "5 : 6031 741 252 53 20 23 22 \n", + "6 : 6088 688 245 61 18 23 19 \n", + "7 : 6051 707 261 64 16 18 25 \n", + "8 : 6083 709 230 72 27 13 8 \n", + "9 : 6097 666 245 70 24 18 22 \n", + "10 : 6083 720 223 58 28 8 22 \n", + "11 : 6072 697 237 68 22 17 29 \n", + "12 : 6046 722 247 71 20 21 15 \n", + "13 : 6026 707 287 70 25 17 22 \n", + "\n", + "T : 84841 9950 3459 920 338 229 263 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 1.0619e-02 sec\n", + "--- Collate = 7.8900e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.132139e-05 < 1.562500e-03 [116]\n", + "--- Max DT=4.155064e-01 > 1.000000e-01 [68194]\n", + "----------------------------------------------------------------------\n", + " Component | low: 116/100000\n", + " Component | high: 68194/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=83.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000967286 [ 0.30 %]\n", + "Velocity : 0.00270319 [ 0.84 %]\n", + "Force : 0.0704208 [ 21.96 %]\n", + "Coefs : 0.0332991 [ 10.38 %]\n", + "Output : 0.00420043 [ 1.31 %]\n", + "Levels : 0.000271596 [ 0.08 %]\n", + "Report : 1.206e-06 [ 0.00 %]\n", + "Balance : 5.8e-07 [ 0.00 %]\n", + "Adjust : 0.20859 [ 65.05 %]\n", + "Total : 0.320649 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6074 672 247 88 32 17 12 \n", + "1 : 6047 720 245 63 31 14 22 \n", + "2 : 6085 711 241 63 20 12 10 \n", + "3 : 5999 770 247 64 29 18 15 \n", + "4 : 6049 718 249 69 29 13 15 \n", + "5 : 6030 738 253 56 24 16 25 \n", + "6 : 6088 688 249 61 19 18 19 \n", + "7 : 6057 697 259 70 20 15 24 \n", + "8 : 6085 707 234 69 21 14 12 \n", + "9 : 6100 657 251 75 16 15 28 \n", + "10 : 6086 719 222 55 26 11 23 \n", + "11 : 6074 697 233 74 19 21 24 \n", + "12 : 6048 722 249 70 16 22 15 \n", + "13 : 6027 707 287 75 25 13 20 \n", + "\n", + "T : 84849 9923 3466 952 327 219 264 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 1.0056e-02 sec\n", + "--- Collate = 1.2201e-04 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.760658e-06 < 1.562500e-03 [102]\n", + "--- Max DT=4.158048e-01 > 1.000000e-01 [68199]\n", + "----------------------------------------------------------------------\n", + " Component | low: 102/100000\n", + " Component | high: 68199/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=84] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000628896 [ 0.17 %]\n", + "Velocity : 0.0024546 [ 0.64 %]\n", + "Force : 0.0749024 [ 19.67 %]\n", + "Coefs : 0.0332079 [ 8.72 %]\n", + "Output : 0.0576709 [ 15.14 %]\n", + "Levels : 0.000253826 [ 0.07 %]\n", + "Report : 1.844e-06 [ 0.00 %]\n", + "Balance : 9.42e-07 [ 0.00 %]\n", + "Adjust : 0.211478 [ 55.53 %]\n", + "Total : 0.380803 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6069 674 256 81 28 19 15 \n", + "1 : 6046 718 249 61 24 19 25 \n", + "2 : 6092 700 245 57 24 9 15 \n", + "3 : 5992 779 240 65 32 17 17 \n", + "4 : 6053 715 252 68 27 15 12 \n", + "5 : 6035 735 250 61 17 20 24 \n", + "6 : 6085 697 237 71 15 20 17 \n", + "7 : 6063 694 256 69 24 17 19 \n", + "8 : 6089 696 245 61 24 13 14 \n", + "9 : 6092 668 249 72 19 20 22 \n", + "10 : 6092 705 219 70 18 20 18 \n", + "11 : 6078 688 239 69 22 21 25 \n", + "12 : 6051 720 245 71 18 14 23 \n", + "13 : 6029 700 289 77 22 16 21 \n", + "\n", + "T : 84866 9889 3471 953 314 240 267 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.1%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.7568e-03 sec\n", + "--- Collate = 6.1146e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.109014e-05 < 1.562500e-03 [124]\n", + "--- Max DT=4.160975e-01 > 1.000000e-01 [68209]\n", + "----------------------------------------------------------------------\n", + " Component | low: 124/100000\n", + " Component | high: 68209/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=84.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00133718 [ 0.40 %]\n", + "Velocity : 0.00390998 [ 1.17 %]\n", + "Force : 0.0736329 [ 22.12 %]\n", + "Coefs : 0.0325861 [ 9.79 %]\n", + "Output : 0.00539971 [ 1.62 %]\n", + "Levels : 0.000267846 [ 0.08 %]\n", + "Report : 6.47e-07 [ 0.00 %]\n", + "Balance : 4.26e-07 [ 0.00 %]\n", + "Adjust : 0.215497 [ 64.75 %]\n", + "Total : 0.332817 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6067 672 259 76 29 24 15 \n", + "1 : 6039 716 254 70 17 24 22 \n", + "2 : 6093 704 243 51 20 14 17 \n", + "3 : 5995 770 242 66 35 18 16 \n", + "4 : 6057 711 250 66 29 18 11 \n", + "5 : 6029 736 255 62 21 20 19 \n", + "6 : 6084 698 233 76 16 21 14 \n", + "7 : 6063 694 252 77 21 21 14 \n", + "8 : 6075 710 249 52 24 15 17 \n", + "9 : 6093 663 256 68 27 17 18 \n", + "10 : 6092 702 227 67 18 19 17 \n", + "11 : 6069 693 244 63 27 25 21 \n", + "12 : 6043 725 242 71 25 11 25 \n", + "13 : 6026 703 297 61 32 21 14 \n", + "\n", + "T : 84825 9897 3503 926 341 268 240 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.2%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 1.0231e-02 sec\n", + "--- Collate = 7.1884e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.500357e-05 < 1.562500e-03 [116]\n", + "--- Max DT=4.163844e-01 > 1.000000e-01 [68217]\n", + "----------------------------------------------------------------------\n", + " Component | low: 116/100000\n", + " Component | high: 68217/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=84.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00133709 [ 0.40 %]\n", + "Velocity : 0.00381262 [ 1.14 %]\n", + "Force : 0.0737809 [ 22.11 %]\n", + "Coefs : 0.0330839 [ 9.92 %]\n", + "Output : 0.00590261 [ 1.77 %]\n", + "Levels : 0.000311978 [ 0.09 %]\n", + "Report : 4.68e-07 [ 0.00 %]\n", + "Balance : 4.1e-07 [ 0.00 %]\n", + "Adjust : 0.21521 [ 64.50 %]\n", + "Total : 0.333637 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6062 679 263 69 27 18 24 \n", + "1 : 6037 720 247 71 28 17 22 \n", + "2 : 6088 713 237 52 15 16 21 \n", + "3 : 5990 771 245 70 31 15 20 \n", + "4 : 6044 720 251 71 22 21 13 \n", + "5 : 6025 738 261 60 19 20 19 \n", + "6 : 6076 704 235 74 17 18 18 \n", + "7 : 6062 692 249 84 25 15 15 \n", + "8 : 6077 701 256 51 20 19 18 \n", + "9 : 6086 671 250 73 30 14 18 \n", + "10 : 6095 694 227 71 18 19 18 \n", + "11 : 6062 696 249 63 25 23 24 \n", + "12 : 6040 729 246 68 18 18 23 \n", + "13 : 6024 703 296 69 29 18 15 \n", + "\n", + "T : 84768 9931 3512 946 324 251 268 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.1%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 1.0436e-02 sec\n", + "--- Collate = 5.9420e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.216737e-05 < 1.562500e-03 [122]\n", + "--- Max DT=4.166657e-01 > 1.000000e-01 [68228]\n", + "----------------------------------------------------------------------\n", + " Component | low: 122/100000\n", + " Component | high: 68228/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=84.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00129071 [ 0.39 %]\n", + "Velocity : 0.00407335 [ 1.24 %]\n", + "Force : 0.0699361 [ 21.28 %]\n", + "Coefs : 0.0319784 [ 9.73 %]\n", + "Output : 0.00589068 [ 1.79 %]\n", + "Levels : 0.000282492 [ 0.09 %]\n", + "Report : 6.26e-07 [ 0.00 %]\n", + "Balance : 4.65e-07 [ 0.00 %]\n", + "Adjust : 0.215015 [ 65.42 %]\n", + "Total : 0.328688 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6052 694 262 67 25 14 28 \n", + "1 : 6035 723 246 77 27 17 17 \n", + "2 : 6083 716 240 51 17 13 22 \n", + "3 : 5992 759 255 73 25 14 24 \n", + "4 : 6041 716 263 62 24 18 18 \n", + "5 : 6019 738 262 61 27 16 19 \n", + "6 : 6073 704 239 72 22 16 16 \n", + "7 : 6068 688 253 76 24 20 13 \n", + "8 : 6078 706 252 51 21 13 21 \n", + "9 : 6086 666 250 80 27 19 14 \n", + "10 : 6092 699 227 69 19 15 21 \n", + "11 : 6066 699 241 61 29 22 24 \n", + "12 : 6043 727 240 68 26 21 17 \n", + "13 : 6021 707 294 72 32 11 17 \n", + "\n", + "T : 84749 9942 3524 940 345 229 271 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.4%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.1599e-03 sec\n", + "--- Collate = 7.3745e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.490229e-06 < 1.562500e-03 [127]\n", + "--- Max DT=4.169413e-01 > 1.000000e-01 [68207]\n", + "----------------------------------------------------------------------\n", + " Component | low: 127/100000\n", + " Component | high: 68207/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=84.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000836084 [ 0.27 %]\n", + "Velocity : 0.00276985 [ 0.88 %]\n", + "Force : 0.0723183 [ 22.98 %]\n", + "Coefs : 0.0329584 [ 10.47 %]\n", + "Output : 0.00522474 [ 1.66 %]\n", + "Levels : 0.000317363 [ 0.10 %]\n", + "Report : 5.05e-07 [ 0.00 %]\n", + "Balance : 3.63e-07 [ 0.00 %]\n", + "Adjust : 0.200057 [ 63.58 %]\n", + "Total : 0.314661 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6044 701 265 65 19 21 27 \n", + "1 : 6026 733 244 79 25 23 12 \n", + "2 : 6082 712 246 44 23 16 19 \n", + "3 : 5992 753 260 76 18 22 21 \n", + "4 : 6039 715 262 65 25 13 23 \n", + "5 : 6019 733 258 71 22 17 22 \n", + "6 : 6067 712 238 67 24 18 16 \n", + "7 : 6069 684 261 70 21 20 17 \n", + "8 : 6069 716 245 54 27 9 22 \n", + "9 : 6087 669 241 87 25 20 13 \n", + "10 : 6094 698 221 71 22 16 20 \n", + "11 : 6057 707 240 69 24 21 24 \n", + "12 : 6048 721 243 65 30 15 20 \n", + "13 : 6021 711 282 82 28 13 17 \n", + "\n", + "T : 84714 9965 3506 965 333 244 273 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.1%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.6245e-03 sec\n", + "--- Collate = 8.4135e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.585758e-08 < 1.562500e-03 [114]\n", + "--- Max DT=4.172110e-01 > 1.000000e-01 [68204]\n", + "----------------------------------------------------------------------\n", + " Component | low: 114/100000\n", + " Component | high: 68204/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=84.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00101647 [ 0.32 %]\n", + "Velocity : 0.00298605 [ 0.93 %]\n", + "Force : 0.0744683 [ 23.16 %]\n", + "Coefs : 0.0330682 [ 10.28 %]\n", + "Output : 0.00512469 [ 1.59 %]\n", + "Levels : 0.000312428 [ 0.10 %]\n", + "Report : 6.57e-07 [ 0.00 %]\n", + "Balance : 4.34e-07 [ 0.00 %]\n", + "Adjust : 0.204405 [ 63.57 %]\n", + "Total : 0.321559 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6043 703 265 64 18 27 22 \n", + "1 : 6029 731 244 73 35 18 12 \n", + "2 : 6096 693 246 50 20 20 17 \n", + "3 : 5991 757 253 72 27 21 21 \n", + "4 : 6039 714 267 59 21 22 20 \n", + "5 : 6021 733 248 82 20 19 19 \n", + "6 : 6063 719 243 63 17 22 15 \n", + "7 : 6071 673 281 57 22 15 23 \n", + "8 : 6066 716 248 55 24 14 19 \n", + "9 : 6091 665 243 83 25 16 19 \n", + "10 : 6091 696 229 67 22 20 17 \n", + "11 : 6056 708 240 71 22 25 20 \n", + "12 : 6045 724 243 65 28 15 22 \n", + "13 : 6019 718 267 95 29 14 12 \n", + "\n", + "T : 84721 9950 3517 956 330 268 258 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.6838e-03 sec\n", + "--- Collate = 9.4485e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.084595e-05 < 1.562500e-03 [115]\n", + "--- Max DT=4.174746e-01 > 1.000000e-01 [68184]\n", + "----------------------------------------------------------------------\n", + " Component | low: 115/100000\n", + " Component | high: 68184/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=84.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00115954 [ 0.36 %]\n", + "Velocity : 0.00291943 [ 0.90 %]\n", + "Force : 0.0752213 [ 23.25 %]\n", + "Coefs : 0.0333049 [ 10.29 %]\n", + "Output : 0.00536533 [ 1.66 %]\n", + "Levels : 0.000351839 [ 0.11 %]\n", + "Report : 6.26e-07 [ 0.00 %]\n", + "Balance : 4.13e-07 [ 0.00 %]\n", + "Adjust : 0.204997 [ 63.37 %]\n", + "Total : 0.323509 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6039 707 258 69 28 16 25 \n", + "1 : 6023 739 243 77 29 17 14 \n", + "2 : 6094 699 240 56 14 23 16 \n", + "3 : 5985 766 249 79 21 18 24 \n", + "4 : 6028 726 268 59 20 17 24 \n", + "5 : 6023 734 246 81 14 24 20 \n", + "6 : 6058 725 238 73 15 15 18 \n", + "7 : 6072 667 284 58 24 16 21 \n", + "8 : 6068 714 248 60 22 16 14 \n", + "9 : 6090 663 248 79 25 15 22 \n", + "10 : 6093 695 228 68 20 25 13 \n", + "11 : 6052 711 237 77 21 17 27 \n", + "12 : 6044 724 242 74 19 13 26 \n", + "13 : 6022 719 265 87 29 16 16 \n", + "\n", + "T : 84691 9989 3494 997 301 248 280 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 1.0391e-02 sec\n", + "--- Collate = 7.7526e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.872271e-07 < 1.562500e-03 [131]\n", + "--- Max DT=4.177321e-01 > 1.000000e-01 [68148]\n", + "----------------------------------------------------------------------\n", + " Component | low: 131/100000\n", + " Component | high: 68148/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=84.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00110775 [ 0.34 %]\n", + "Velocity : 0.00302777 [ 0.94 %]\n", + "Force : 0.0745443 [ 23.12 %]\n", + "Coefs : 0.0318281 [ 9.87 %]\n", + "Output : 0.00550773 [ 1.71 %]\n", + "Levels : 0.000241368 [ 0.07 %]\n", + "Report : 6.12e-07 [ 0.00 %]\n", + "Balance : 3.65e-07 [ 0.00 %]\n", + "Adjust : 0.205919 [ 63.88 %]\n", + "Total : 0.322371 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6037 709 258 74 23 20 21 \n", + "1 : 6009 751 240 77 34 9 22 \n", + "2 : 6092 695 237 61 19 18 20 \n", + "3 : 5975 774 252 81 18 18 24 \n", + "4 : 6028 724 268 60 22 20 20 \n", + "5 : 6024 727 254 80 15 20 22 \n", + "6 : 6054 722 237 80 20 9 20 \n", + "7 : 6071 675 278 57 19 21 21 \n", + "8 : 6064 710 252 67 20 16 13 \n", + "9 : 6087 659 254 71 28 18 25 \n", + "10 : 6093 689 234 66 21 21 18 \n", + "11 : 6047 708 241 83 18 17 28 \n", + "12 : 6041 724 246 72 22 16 21 \n", + "13 : 6023 715 273 81 32 15 15 \n", + "\n", + "T : 84645 9982 3524 1010 311 238 290 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 1.0222e-02 sec\n", + "--- Collate = 6.8079e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.093825e-06 < 1.562500e-03 [130]\n", + "--- Max DT=4.179834e-01 > 1.000000e-01 [68125]\n", + "----------------------------------------------------------------------\n", + " Component | low: 130/100000\n", + " Component | high: 68125/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=84.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00125682 [ 0.38 %]\n", + "Velocity : 0.0032372 [ 0.98 %]\n", + "Force : 0.0749283 [ 22.79 %]\n", + "Coefs : 0.0327659 [ 9.97 %]\n", + "Output : 0.00578602 [ 1.76 %]\n", + "Levels : 0.000296824 [ 0.09 %]\n", + "Report : 6.97e-07 [ 0.00 %]\n", + "Balance : 4.03e-07 [ 0.00 %]\n", + "Adjust : 0.2103 [ 63.97 %]\n", + "Total : 0.328773 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6025 720 264 67 32 18 16 \n", + "1 : 6007 758 234 78 26 19 20 \n", + "2 : 6084 704 235 62 23 12 22 \n", + "3 : 5975 766 255 81 24 20 21 \n", + "4 : 6020 731 269 62 26 16 18 \n", + "5 : 6024 724 255 76 28 11 24 \n", + "6 : 6046 739 230 83 17 9 18 \n", + "7 : 6073 666 282 57 27 20 17 \n", + "8 : 6059 715 255 62 21 17 13 \n", + "9 : 6082 670 244 74 25 21 26 \n", + "10 : 6090 695 228 68 23 21 17 \n", + "11 : 6049 701 243 86 21 16 26 \n", + "12 : 6050 710 250 72 23 17 20 \n", + "13 : 6016 723 265 83 31 18 18 \n", + "\n", + "T : 84600 10022 3509 1011 347 235 276 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.8256e-03 sec\n", + "--- Collate = 5.7510e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.317622e-05 < 1.562500e-03 [119]\n", + "--- Max DT=4.182287e-01 > 1.000000e-01 [68150]\n", + "----------------------------------------------------------------------\n", + " Component | low: 119/100000\n", + " Component | high: 68150/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=84.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00124848 [ 0.41 %]\n", + "Velocity : 0.00337899 [ 1.12 %]\n", + "Force : 0.0663461 [ 22.01 %]\n", + "Coefs : 0.0302586 [ 10.04 %]\n", + "Output : 0.00558899 [ 1.85 %]\n", + "Levels : 0.000259801 [ 0.09 %]\n", + "Report : 5.99e-07 [ 0.00 %]\n", + "Balance : 3.41e-07 [ 0.00 %]\n", + "Adjust : 0.194218 [ 64.42 %]\n", + "Total : 0.30149 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6017 726 262 80 25 16 16 \n", + "1 : 6003 754 243 77 28 15 22 \n", + "2 : 6078 710 234 63 21 18 18 \n", + "3 : 5974 776 250 74 27 25 16 \n", + "4 : 6022 729 267 68 23 17 16 \n", + "5 : 6017 732 258 67 34 18 16 \n", + "6 : 6038 748 235 76 19 17 9 \n", + "7 : 6072 666 273 66 31 14 20 \n", + "8 : 6059 711 257 65 21 14 15 \n", + "9 : 6090 660 242 76 26 20 28 \n", + "10 : 6077 707 231 64 22 20 21 \n", + "11 : 6045 697 255 86 20 19 20 \n", + "12 : 6056 703 243 79 28 18 15 \n", + "13 : 6018 725 263 75 37 12 24 \n", + "\n", + "T : 84566 10044 3513 1016 362 243 256 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.1%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 1.0097e-02 sec\n", + "--- Collate = 1.3014e-04 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.757414e-06 < 1.562500e-03 [106]\n", + "--- Max DT=4.184678e-01 > 1.000000e-01 [68160]\n", + "----------------------------------------------------------------------\n", + " Component | low: 106/100000\n", + " Component | high: 68160/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=85] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00106763 [ 0.31 %]\n", + "Velocity : 0.00303408 [ 0.88 %]\n", + "Force : 0.0649351 [ 18.74 %]\n", + "Coefs : 0.0295394 [ 8.52 %]\n", + "Output : 0.0557813 [ 16.09 %]\n", + "Levels : 0.000275468 [ 0.08 %]\n", + "Report : 1.953e-06 [ 0.00 %]\n", + "Balance : 1.108e-06 [ 0.00 %]\n", + "Adjust : 0.191784 [ 55.33 %]\n", + "Total : 0.346597 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6011 732 257 82 30 15 15 \n", + "1 : 6003 746 251 76 28 17 21 \n", + "2 : 6070 721 236 52 23 22 18 \n", + "3 : 5968 778 256 68 31 25 16 \n", + "4 : 6016 735 255 73 32 18 13 \n", + "5 : 6013 732 265 70 24 16 22 \n", + "6 : 6033 750 239 75 25 12 8 \n", + "7 : 6066 678 267 65 32 19 15 \n", + "8 : 6063 707 255 65 23 13 16 \n", + "9 : 6093 657 240 81 23 22 26 \n", + "10 : 6080 702 235 66 16 21 22 \n", + "11 : 6050 694 258 76 29 19 16 \n", + "12 : 6058 694 250 80 26 20 14 \n", + "13 : 6017 723 257 84 37 15 21 \n", + "\n", + "T : 84541 10049 3521 1013 379 254 243 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 1.0002e-02 sec\n", + "--- Collate = 7.2947e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.718020e-06 < 1.562500e-03 [113]\n", + "--- Max DT=4.187009e-01 > 1.000000e-01 [68160]\n", + "----------------------------------------------------------------------\n", + " Component | low: 113/100000\n", + " Component | high: 68160/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=85.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00117841 [ 0.36 %]\n", + "Velocity : 0.0036378 [ 1.11 %]\n", + "Force : 0.0723537 [ 22.15 %]\n", + "Coefs : 0.0335876 [ 10.28 %]\n", + "Output : 0.0057804 [ 1.77 %]\n", + "Levels : 0.000300745 [ 0.09 %]\n", + "Report : 8.04e-07 [ 0.00 %]\n", + "Balance : 4.2e-07 [ 0.00 %]\n", + "Adjust : 0.209574 [ 64.17 %]\n", + "Total : 0.326602 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6010 732 265 75 34 12 14 \n", + "1 : 5999 739 259 73 34 19 19 \n", + "2 : 6061 731 242 47 28 16 17 \n", + "3 : 5971 770 261 70 26 22 22 \n", + "4 : 6020 732 254 76 33 14 13 \n", + "5 : 6010 730 268 74 19 22 19 \n", + "6 : 6028 750 250 66 22 14 12 \n", + "7 : 6072 677 261 72 26 17 17 \n", + "8 : 6066 702 255 66 17 15 21 \n", + "9 : 6089 661 240 80 29 18 25 \n", + "10 : 6079 707 229 59 29 18 21 \n", + "11 : 6052 691 260 72 29 20 18 \n", + "12 : 6061 697 244 82 25 19 14 \n", + "13 : 6016 727 258 80 34 21 18 \n", + "\n", + "T : 84534 10046 3546 992 385 247 250 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.2%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 8.2300e-03 sec\n", + "--- Collate = 6.5205e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.952332e-06 < 1.562500e-03 [125]\n", + "--- Max DT=4.189281e-01 > 1.000000e-01 [68113]\n", + "----------------------------------------------------------------------\n", + " Component | low: 125/100000\n", + " Component | high: 68113/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=85.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00131163 [ 0.41 %]\n", + "Velocity : 0.00364226 [ 1.13 %]\n", + "Force : 0.0718548 [ 22.20 %]\n", + "Coefs : 0.0310325 [ 9.59 %]\n", + "Output : 0.0060325 [ 1.86 %]\n", + "Levels : 0.000255633 [ 0.08 %]\n", + "Report : 6.4e-07 [ 0.00 %]\n", + "Balance : 4.25e-07 [ 0.00 %]\n", + "Adjust : 0.209283 [ 64.67 %]\n", + "Total : 0.323617 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6006 727 277 69 34 16 13 \n", + "1 : 6011 726 256 76 36 22 15 \n", + "2 : 6062 733 240 41 30 13 23 \n", + "3 : 5970 764 268 65 32 14 29 \n", + "4 : 6022 725 256 81 28 17 13 \n", + "5 : 6010 732 262 75 23 17 23 \n", + "6 : 6029 745 254 67 20 13 14 \n", + "7 : 6077 670 257 76 34 13 15 \n", + "8 : 6068 695 260 61 20 19 19 \n", + "9 : 6088 657 246 81 30 20 20 \n", + "10 : 6079 708 227 58 31 18 21 \n", + "11 : 6050 698 258 69 36 10 21 \n", + "12 : 6052 704 251 78 23 16 18 \n", + "13 : 6010 729 258 86 35 24 12 \n", + "\n", + "T : 84534 10013 3570 983 412 232 256 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.2423e-03 sec\n", + "--- Collate = 5.9998e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.541377e-06 < 1.562500e-03 [112]\n", + "--- Max DT=4.191500e-01 > 1.000000e-01 [68075]\n", + "----------------------------------------------------------------------\n", + " Component | low: 112/100000\n", + " Component | high: 68075/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=85.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00112326 [ 0.39 %]\n", + "Velocity : 0.00326266 [ 1.15 %]\n", + "Force : 0.061665 [ 21.68 %]\n", + "Coefs : 0.0280561 [ 9.87 %]\n", + "Output : 0.00530868 [ 1.87 %]\n", + "Levels : 0.000242978 [ 0.09 %]\n", + "Report : 6.45e-07 [ 0.00 %]\n", + "Balance : 3.62e-07 [ 0.00 %]\n", + "Adjust : 0.184555 [ 64.89 %]\n", + "Total : 0.284394 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6009 725 278 65 28 24 13 \n", + "1 : 6011 727 250 82 31 25 16 \n", + "2 : 6070 722 238 44 28 17 23 \n", + "3 : 5974 763 271 62 18 25 29 \n", + "4 : 6020 723 255 82 27 17 18 \n", + "5 : 6007 731 268 73 24 19 20 \n", + "6 : 6035 734 259 66 17 16 15 \n", + "7 : 6087 663 256 75 32 13 16 \n", + "8 : 6067 697 256 64 23 15 20 \n", + "9 : 6088 657 243 86 30 24 14 \n", + "10 : 6077 699 234 65 28 25 14 \n", + "11 : 6059 690 260 65 31 16 21 \n", + "12 : 6057 704 246 81 19 17 18 \n", + "13 : 6014 725 266 76 36 21 16 \n", + "\n", + "T : 84575 9960 3580 986 372 274 253 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.2%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.8075e-03 sec\n", + "--- Collate = 6.8848e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.971726e-06 < 1.562500e-03 [123]\n", + "--- Max DT=4.193666e-01 > 1.000000e-01 [68078]\n", + "----------------------------------------------------------------------\n", + " Component | low: 123/100000\n", + " Component | high: 68078/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=85.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00111544 [ 0.36 %]\n", + "Velocity : 0.00354585 [ 1.13 %]\n", + "Force : 0.0673416 [ 21.55 %]\n", + "Coefs : 0.029864 [ 9.56 %]\n", + "Output : 0.00563975 [ 1.80 %]\n", + "Levels : 0.000332546 [ 0.11 %]\n", + "Report : 8.71e-07 [ 0.00 %]\n", + "Balance : 4.05e-07 [ 0.00 %]\n", + "Adjust : 0.204498 [ 65.43 %]\n", + "Total : 0.312539 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6015 728 270 61 34 15 19 \n", + "1 : 6010 731 238 88 40 18 17 \n", + "2 : 6064 727 232 51 23 22 23 \n", + "3 : 5980 757 271 58 22 29 25 \n", + "4 : 6020 724 255 78 24 17 24 \n", + "5 : 6001 739 268 72 27 15 20 \n", + "6 : 6032 742 255 55 26 16 16 \n", + "7 : 6080 666 263 72 28 16 17 \n", + "8 : 6057 705 256 64 24 18 18 \n", + "9 : 6085 659 247 88 31 18 14 \n", + "10 : 6082 700 231 59 33 18 19 \n", + "11 : 6058 697 257 66 27 17 20 \n", + "12 : 6065 695 251 76 19 15 21 \n", + "13 : 6024 715 262 83 32 18 20 \n", + "\n", + "T : 84573 9985 3556 971 390 252 273 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.3845e-03 sec\n", + "--- Collate = 1.0562e-04 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.140510e-07 < 1.562500e-03 [127]\n", + "--- Max DT=4.195783e-01 > 1.000000e-01 [68072]\n", + "----------------------------------------------------------------------\n", + " Component | low: 127/100000\n", + " Component | high: 68072/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=85.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00132221 [ 0.44 %]\n", + "Velocity : 0.00347685 [ 1.16 %]\n", + "Force : 0.0658459 [ 22.06 %]\n", + "Coefs : 0.028948 [ 9.70 %]\n", + "Output : 0.00539827 [ 1.81 %]\n", + "Levels : 0.000240957 [ 0.08 %]\n", + "Report : 6.72e-07 [ 0.00 %]\n", + "Balance : 3.41e-07 [ 0.00 %]\n", + "Adjust : 0.19312 [ 64.69 %]\n", + "Total : 0.298544 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6013 729 272 63 28 14 23 \n", + "1 : 6003 740 232 93 36 15 23 \n", + "2 : 6066 721 235 51 30 14 25 \n", + "3 : 5979 752 278 57 27 26 23 \n", + "4 : 6019 725 254 76 25 17 26 \n", + "5 : 6002 738 261 83 26 20 12 \n", + "6 : 6033 737 256 56 30 11 19 \n", + "7 : 6078 661 266 72 29 23 13 \n", + "8 : 6060 706 250 59 27 24 16 \n", + "9 : 6083 657 255 83 34 13 17 \n", + "10 : 6079 698 233 60 36 17 19 \n", + "11 : 6057 699 250 69 31 16 20 \n", + "12 : 6062 700 252 68 24 21 15 \n", + "13 : 6018 720 260 87 28 17 24 \n", + "\n", + "T : 84552 9983 3554 977 411 248 275 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.6891e-03 sec\n", + "--- Collate = 5.3755e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.703833e-05 < 1.562500e-03 [123]\n", + "--- Max DT=4.197843e-01 > 1.000000e-01 [68093]\n", + "----------------------------------------------------------------------\n", + " Component | low: 123/100000\n", + " Component | high: 68093/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=85.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00111753 [ 0.40 %]\n", + "Velocity : 0.0028643 [ 1.03 %]\n", + "Force : 0.0612174 [ 21.97 %]\n", + "Coefs : 0.0296765 [ 10.65 %]\n", + "Output : 0.00505843 [ 1.82 %]\n", + "Levels : 0.000222342 [ 0.08 %]\n", + "Report : 5.99e-07 [ 0.00 %]\n", + "Balance : 3.63e-07 [ 0.00 %]\n", + "Adjust : 0.178318 [ 64.00 %]\n", + "Total : 0.278642 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6009 733 270 64 29 17 20 \n", + "1 : 5996 745 237 91 30 21 22 \n", + "2 : 6058 727 236 52 33 15 21 \n", + "3 : 5976 751 272 67 30 24 22 \n", + "4 : 6018 726 257 72 22 21 26 \n", + "5 : 5997 738 262 85 24 20 16 \n", + "6 : 6034 731 257 60 27 17 16 \n", + "7 : 6075 666 263 71 32 16 19 \n", + "8 : 6049 718 246 65 25 19 20 \n", + "9 : 6075 657 270 75 35 9 21 \n", + "10 : 6085 689 239 58 30 20 21 \n", + "11 : 6049 705 258 68 31 13 18 \n", + "12 : 6050 713 251 64 29 18 17 \n", + "13 : 6022 720 260 82 28 24 18 \n", + "\n", + "T : 84493 10019 3578 974 405 254 277 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.7006e-03 sec\n", + "--- Collate = 5.8256e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.352523e-05 < 1.562500e-03 [124]\n", + "--- Max DT=4.199843e-01 > 1.000000e-01 [68066]\n", + "----------------------------------------------------------------------\n", + " Component | low: 124/100000\n", + " Component | high: 68066/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=85.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000902989 [ 0.31 %]\n", + "Velocity : 0.0024635 [ 0.86 %]\n", + "Force : 0.0648173 [ 22.60 %]\n", + "Coefs : 0.0297473 [ 10.37 %]\n", + "Output : 0.00464787 [ 1.62 %]\n", + "Levels : 0.000287458 [ 0.10 %]\n", + "Report : 7.3e-07 [ 0.00 %]\n", + "Balance : 4.7e-07 [ 0.00 %]\n", + "Adjust : 0.183798 [ 64.08 %]\n", + "Total : 0.286828 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6006 749 256 67 26 25 13 \n", + "1 : 5990 747 242 89 28 21 25 \n", + "2 : 6056 730 236 60 24 16 20 \n", + "3 : 5973 754 268 76 28 19 24 \n", + "4 : 6017 716 267 67 32 18 25 \n", + "5 : 5988 748 261 82 30 14 19 \n", + "6 : 6031 730 257 63 29 15 17 \n", + "7 : 6073 670 262 70 28 16 23 \n", + "8 : 6047 721 240 74 19 22 19 \n", + "9 : 6078 661 263 77 25 18 20 \n", + "10 : 6081 686 244 61 27 20 23 \n", + "11 : 6049 708 259 70 26 14 16 \n", + "12 : 6051 717 243 72 26 12 21 \n", + "13 : 6012 727 266 70 36 22 21 \n", + "\n", + "T : 84452 10064 3564 998 384 252 286 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.1%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.2314e-03 sec\n", + "--- Collate = 9.6068e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.811122e-06 < 1.562500e-03 [139]\n", + "--- Max DT=4.201784e-01 > 1.000000e-01 [68016]\n", + "----------------------------------------------------------------------\n", + " Component | low: 139/100000\n", + " Component | high: 68016/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=85.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000838645 [ 0.26 %]\n", + "Velocity : 0.00299779 [ 0.92 %]\n", + "Force : 0.0770662 [ 23.69 %]\n", + "Coefs : 0.0339782 [ 10.45 %]\n", + "Output : 0.00516148 [ 1.59 %]\n", + "Levels : 0.000285445 [ 0.09 %]\n", + "Report : 7.3e-07 [ 0.00 %]\n", + "Balance : 4.64e-07 [ 0.00 %]\n", + "Adjust : 0.204751 [ 62.95 %]\n", + "Total : 0.325275 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6007 749 258 60 28 21 19 \n", + "1 : 5992 743 245 84 29 25 24 \n", + "2 : 6056 729 236 62 24 17 18 \n", + "3 : 5977 754 269 74 26 21 21 \n", + "4 : 6013 727 262 67 32 17 24 \n", + "5 : 5993 747 250 81 33 20 18 \n", + "6 : 6029 739 246 70 23 20 15 \n", + "7 : 6075 671 258 72 30 13 23 \n", + "8 : 6054 710 246 65 29 17 21 \n", + "9 : 6079 657 265 74 23 25 19 \n", + "10 : 6078 685 245 68 25 15 26 \n", + "11 : 6053 705 256 72 30 9 17 \n", + "12 : 6048 717 249 66 32 9 21 \n", + "13 : 6002 735 265 73 32 26 21 \n", + "\n", + "T : 84456 10068 3550 988 396 255 287 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 1.0022e-02 sec\n", + "--- Collate = 7.4013e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.315764e-05 < 1.562500e-03 [123]\n", + "--- Max DT=4.203666e-01 > 1.000000e-01 [68016]\n", + "----------------------------------------------------------------------\n", + " Component | low: 123/100000\n", + " Component | high: 68016/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=85.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00144224 [ 0.44 %]\n", + "Velocity : 0.00406082 [ 1.25 %]\n", + "Force : 0.0724445 [ 22.22 %]\n", + "Coefs : 0.033064 [ 10.14 %]\n", + "Output : 0.005423 [ 1.66 %]\n", + "Levels : 0.000307835 [ 0.09 %]\n", + "Report : 8.12e-07 [ 0.00 %]\n", + "Balance : 4.18e-07 [ 0.00 %]\n", + "Adjust : 0.209113 [ 64.14 %]\n", + "Total : 0.326038 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6004 752 258 64 28 14 22 \n", + "1 : 5994 742 249 76 30 23 28 \n", + "2 : 6054 738 235 59 23 16 17 \n", + "3 : 5975 740 278 80 28 23 18 \n", + "4 : 6013 722 269 72 30 17 19 \n", + "5 : 5991 754 246 79 34 20 18 \n", + "6 : 6023 745 245 72 26 15 16 \n", + "7 : 6070 673 265 71 26 17 20 \n", + "8 : 6054 712 245 66 24 21 20 \n", + "9 : 6078 659 264 66 32 21 22 \n", + "10 : 6077 694 242 71 18 13 27 \n", + "11 : 6050 706 260 66 39 10 11 \n", + "12 : 6059 712 244 65 28 19 15 \n", + "13 : 6001 734 273 70 29 25 22 \n", + "\n", + "T : 84443 10083 3573 977 395 254 275 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.6%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 1.0421e-02 sec\n", + "--- Collate = 9.4372e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.981262e-06 < 1.562500e-03 [115]\n", + "--- Max DT=4.205489e-01 > 1.000000e-01 [68015]\n", + "----------------------------------------------------------------------\n", + " Component | low: 115/100000\n", + " Component | high: 68015/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=86] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000984655 [ 0.26 %]\n", + "Velocity : 0.00332232 [ 0.86 %]\n", + "Force : 0.0737534 [ 19.20 %]\n", + "Coefs : 0.0352629 [ 9.18 %]\n", + "Output : 0.057657 [ 15.01 %]\n", + "Levels : 0.000293375 [ 0.08 %]\n", + "Report : 1.641e-06 [ 0.00 %]\n", + "Balance : 1.017e-06 [ 0.00 %]\n", + "Adjust : 0.212736 [ 55.37 %]\n", + "Total : 0.38419 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5994 756 267 60 27 17 21 \n", + "1 : 5991 749 244 74 30 25 29 \n", + "2 : 6052 729 245 60 29 11 16 \n", + "3 : 5978 746 266 86 28 22 16 \n", + "4 : 6011 725 264 79 29 14 20 \n", + "5 : 5991 750 250 79 30 22 20 \n", + "6 : 6022 750 237 76 28 13 16 \n", + "7 : 6063 682 259 73 33 16 16 \n", + "8 : 6047 717 246 71 17 25 19 \n", + "9 : 6071 672 263 63 30 18 25 \n", + "10 : 6074 691 248 72 17 21 19 \n", + "11 : 6044 714 252 72 33 20 7 \n", + "12 : 6059 713 245 68 27 17 13 \n", + "13 : 5998 736 272 71 31 20 26 \n", + "\n", + "T : 84395 10130 3558 1004 389 261 263 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 1.0292e-02 sec\n", + "--- Collate = 7.4686e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.433569e-06 < 1.562500e-03 [117]\n", + "--- Max DT=4.207255e-01 > 1.000000e-01 [68017]\n", + "----------------------------------------------------------------------\n", + " Component | low: 117/100000\n", + " Component | high: 68017/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=86.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00109657 [ 0.30 %]\n", + "Velocity : 0.00399597 [ 1.09 %]\n", + "Force : 0.0774557 [ 21.04 %]\n", + "Coefs : 0.0418496 [ 11.37 %]\n", + "Output : 0.0065701 [ 1.78 %]\n", + "Levels : 0.000339832 [ 0.09 %]\n", + "Report : 6.49e-07 [ 0.00 %]\n", + "Balance : 5.02e-07 [ 0.00 %]\n", + "Adjust : 0.236555 [ 64.27 %]\n", + "Total : 0.368079 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5987 767 268 58 25 18 19 \n", + "1 : 5986 747 248 78 32 21 30 \n", + "2 : 6055 721 242 75 18 15 16 \n", + "3 : 5978 745 270 80 33 18 18 \n", + "4 : 6007 730 264 82 22 24 13 \n", + "5 : 5987 755 247 75 35 21 22 \n", + "6 : 6024 752 234 74 25 15 18 \n", + "7 : 6066 680 261 77 24 18 16 \n", + "8 : 6051 708 249 73 24 15 22 \n", + "9 : 6064 677 257 70 31 14 29 \n", + "10 : 6073 687 251 65 32 17 17 \n", + "11 : 6036 721 258 75 21 19 12 \n", + "12 : 6056 714 255 59 25 22 11 \n", + "13 : 5996 744 263 76 31 17 27 \n", + "\n", + "T : 84366 10148 3567 1017 378 254 270 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.6045e-03 sec\n", + "--- Collate = 9.0968e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.466150e-05 < 1.562500e-03 [131]\n", + "--- Max DT=4.208962e-01 > 1.000000e-01 [68008]\n", + "----------------------------------------------------------------------\n", + " Component | low: 131/100000\n", + " Component | high: 68008/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=86.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0012857 [ 0.39 %]\n", + "Velocity : 0.00388834 [ 1.17 %]\n", + "Force : 0.071744 [ 21.57 %]\n", + "Coefs : 0.0312811 [ 9.41 %]\n", + "Output : 0.00575942 [ 1.73 %]\n", + "Levels : 0.000289665 [ 0.09 %]\n", + "Report : 7.19e-07 [ 0.00 %]\n", + "Balance : 4.79e-07 [ 0.00 %]\n", + "Adjust : 0.218072 [ 65.58 %]\n", + "Total : 0.332533 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5987 765 270 58 22 24 16 \n", + "1 : 5989 737 251 82 34 26 23 \n", + "2 : 6058 721 238 78 16 17 14 \n", + "3 : 5978 751 258 89 31 13 22 \n", + "4 : 6009 713 279 74 32 14 21 \n", + "5 : 5989 752 255 72 32 18 24 \n", + "6 : 6024 752 238 70 20 18 20 \n", + "7 : 6066 679 257 74 35 16 15 \n", + "8 : 6045 714 245 82 16 19 21 \n", + "9 : 6050 688 264 66 28 22 24 \n", + "10 : 6068 689 256 59 37 17 16 \n", + "11 : 6042 710 259 79 17 19 16 \n", + "12 : 6054 725 244 58 30 13 18 \n", + "13 : 5993 743 264 81 32 17 24 \n", + "\n", + "T : 84352 10139 3578 1022 382 253 274 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.3100e-03 sec\n", + "--- Collate = 5.7646e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.168625e-07 < 1.562500e-03 [129]\n", + "--- Max DT=4.210615e-01 > 1.000000e-01 [68026]\n", + "----------------------------------------------------------------------\n", + " Component | low: 129/100000\n", + " Component | high: 68026/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=86.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00122998 [ 0.42 %]\n", + "Velocity : 0.00345132 [ 1.19 %]\n", + "Force : 0.0648881 [ 22.37 %]\n", + "Coefs : 0.0291939 [ 10.06 %]\n", + "Output : 0.00506286 [ 1.75 %]\n", + "Levels : 0.000242541 [ 0.08 %]\n", + "Report : 7.33e-07 [ 0.00 %]\n", + "Balance : 4.28e-07 [ 0.00 %]\n", + "Adjust : 0.185875 [ 64.07 %]\n", + "Total : 0.29012 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5981 769 276 54 26 17 19 \n", + "1 : 5992 734 243 92 35 21 25 \n", + "2 : 6050 731 236 80 16 14 15 \n", + "3 : 5980 746 262 90 29 12 23 \n", + "4 : 6012 714 273 81 27 13 22 \n", + "5 : 5988 753 255 78 23 22 23 \n", + "6 : 6022 744 246 67 27 15 21 \n", + "7 : 6058 683 264 75 34 10 18 \n", + "8 : 6041 715 245 80 19 20 22 \n", + "9 : 6042 697 265 65 26 26 21 \n", + "10 : 6066 698 243 67 39 11 18 \n", + "11 : 6029 723 257 76 21 9 27 \n", + "12 : 6064 721 243 53 25 18 18 \n", + "13 : 6002 733 266 83 33 14 23 \n", + "\n", + "T : 84327 10161 3574 1041 380 222 295 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.6%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.2000e-03 sec\n", + "--- Collate = 4.8849e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.169084e-05 < 1.562500e-03 [134]\n", + "--- Max DT=4.212223e-01 > 1.000000e-01 [68027]\n", + "----------------------------------------------------------------------\n", + " Component | low: 134/100000\n", + " Component | high: 68027/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=86.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00104307 [ 0.38 %]\n", + "Velocity : 0.00289176 [ 1.05 %]\n", + "Force : 0.0644418 [ 23.44 %]\n", + "Coefs : 0.0280525 [ 10.20 %]\n", + "Output : 0.00422081 [ 1.54 %]\n", + "Levels : 0.000269946 [ 0.10 %]\n", + "Report : 6.69e-07 [ 0.00 %]\n", + "Balance : 4.19e-07 [ 0.00 %]\n", + "Adjust : 0.173886 [ 63.24 %]\n", + "Total : 0.274966 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5976 774 270 66 23 14 19 \n", + "1 : 5987 727 251 99 33 24 21 \n", + "2 : 6050 730 242 67 26 11 16 \n", + "3 : 5980 749 259 80 35 20 19 \n", + "4 : 6010 714 278 77 25 13 25 \n", + "5 : 5998 744 248 82 26 24 20 \n", + "6 : 6026 740 244 65 29 12 26 \n", + "7 : 6053 690 258 73 34 20 14 \n", + "8 : 6035 727 243 74 22 18 23 \n", + "9 : 6044 699 253 73 27 25 21 \n", + "10 : 6071 692 242 72 26 23 16 \n", + "11 : 6040 710 261 71 20 15 25 \n", + "12 : 6059 726 242 54 17 27 17 \n", + "13 : 5997 740 263 90 24 24 16 \n", + "\n", + "T : 84326 10162 3554 1043 367 270 278 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.1%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 1.0569e-02 sec\n", + "--- Collate = 7.5371e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.161578e-06 < 1.562500e-03 [131]\n", + "--- Max DT=4.213781e-01 > 1.000000e-01 [67992]\n", + "----------------------------------------------------------------------\n", + " Component | low: 131/100000\n", + " Component | high: 67992/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=86.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000813042 [ 0.29 %]\n", + "Velocity : 0.00266378 [ 0.94 %]\n", + "Force : 0.0661527 [ 23.23 %]\n", + "Coefs : 0.0312123 [ 10.96 %]\n", + "Output : 0.00429577 [ 1.51 %]\n", + "Levels : 0.000276809 [ 0.10 %]\n", + "Report : 6.42e-07 [ 0.00 %]\n", + "Balance : 4.22e-07 [ 0.00 %]\n", + "Adjust : 0.179169 [ 62.92 %]\n", + "Total : 0.284746 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5973 773 273 70 23 13 17 \n", + "1 : 5984 725 258 97 36 16 26 \n", + "2 : 6044 728 244 73 26 13 14 \n", + "3 : 5970 756 264 74 42 13 23 \n", + "4 : 6012 710 278 76 25 16 25 \n", + "5 : 5998 745 252 76 29 25 17 \n", + "6 : 6026 734 247 60 38 15 22 \n", + "7 : 6051 688 264 63 38 20 18 \n", + "8 : 6033 729 245 67 28 20 20 \n", + "9 : 6047 693 261 73 27 18 23 \n", + "10 : 6066 694 240 77 24 23 18 \n", + "11 : 6040 715 256 69 20 19 23 \n", + "12 : 6059 733 234 51 24 18 23 \n", + "13 : 6005 728 269 83 36 16 17 \n", + "\n", + "T : 84308 10151 3585 1009 416 245 286 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 9.6344e-03 sec\n", + "--- Collate = 5.6525e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.020264e-06 < 1.562500e-03 [138]\n", + "--- Max DT=4.215291e-01 > 1.000000e-01 [68011]\n", + "----------------------------------------------------------------------\n", + " Component | low: 138/100000\n", + " Component | high: 68011/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=86.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00126074 [ 0.38 %]\n", + "Velocity : 0.00323657 [ 0.98 %]\n", + "Force : 0.0754907 [ 22.90 %]\n", + "Coefs : 0.0343156 [ 10.41 %]\n", + "Output : 0.0055214 [ 1.67 %]\n", + "Levels : 0.000278781 [ 0.08 %]\n", + "Report : 4.8e-07 [ 0.00 %]\n", + "Balance : 4.24e-07 [ 0.00 %]\n", + "Adjust : 0.209393 [ 63.51 %]\n", + "Total : 0.329687 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5968 777 269 79 20 15 14 \n", + "1 : 5987 716 260 104 35 21 19 \n", + "2 : 6046 734 235 72 29 15 11 \n", + "3 : 5972 762 252 74 40 25 17 \n", + "4 : 6013 710 277 67 36 19 20 \n", + "5 : 5998 742 264 73 27 15 23 \n", + "6 : 6028 732 239 63 44 15 21 \n", + "7 : 6051 682 265 69 37 14 24 \n", + "8 : 6031 725 252 62 34 19 19 \n", + "9 : 6048 683 266 82 21 22 20 \n", + "10 : 6067 694 239 77 25 18 22 \n", + "11 : 6043 709 255 70 29 17 19 \n", + "12 : 6060 740 225 54 23 17 23 \n", + "13 : 6006 731 263 87 33 15 19 \n", + "\n", + "T : 84318 10137 3561 1033 433 247 271 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.4737e-03 sec\n", + "--- Collate = 6.4130e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.266224e-05 < 1.562500e-03 [119]\n", + "--- Max DT=4.216749e-01 > 1.000000e-01 [68017]\n", + "----------------------------------------------------------------------\n", + " Component | low: 119/100000\n", + " Component | high: 68017/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=86.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00137818 [ 0.42 %]\n", + "Velocity : 0.00344476 [ 1.05 %]\n", + "Force : 0.0747175 [ 22.72 %]\n", + "Coefs : 0.0353359 [ 10.74 %]\n", + "Output : 0.00559652 [ 1.70 %]\n", + "Levels : 0.000274655 [ 0.08 %]\n", + "Report : 6.93e-07 [ 0.00 %]\n", + "Balance : 5.01e-07 [ 0.00 %]\n", + "Adjust : 0.207941 [ 63.22 %]\n", + "Total : 0.3289 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5966 783 265 73 28 15 12 \n", + "1 : 5984 712 264 100 39 20 23 \n", + "2 : 6047 730 242 69 29 17 8 \n", + "3 : 5963 772 246 78 41 24 18 \n", + "4 : 6008 718 269 65 43 17 22 \n", + "5 : 5999 741 261 67 34 20 20 \n", + "6 : 6023 742 235 63 36 25 18 \n", + "7 : 6046 682 275 66 31 15 27 \n", + "8 : 6035 716 255 69 30 18 19 \n", + "9 : 6040 695 256 83 25 28 15 \n", + "10 : 6061 698 244 67 31 18 23 \n", + "11 : 6044 707 259 68 29 15 20 \n", + "12 : 6063 743 217 56 25 9 29 \n", + "13 : 6011 723 268 84 39 8 21 \n", + "\n", + "T : 84290 10162 3556 1008 460 249 275 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 9.6278e-03 sec\n", + "--- Collate = 6.6183e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.840032e-06 < 1.562500e-03 [115]\n", + "--- Max DT=4.218153e-01 > 1.000000e-01 [68004]\n", + "----------------------------------------------------------------------\n", + " Component | low: 115/100000\n", + " Component | high: 68004/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=86.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000891321 [ 0.26 %]\n", + "Velocity : 0.00349391 [ 1.04 %]\n", + "Force : 0.0736224 [ 21.86 %]\n", + "Coefs : 0.0322469 [ 9.58 %]\n", + "Output : 0.00619042 [ 1.84 %]\n", + "Levels : 0.000307377 [ 0.09 %]\n", + "Report : 7.44e-07 [ 0.00 %]\n", + "Balance : 4.32e-07 [ 0.00 %]\n", + "Adjust : 0.219804 [ 65.27 %]\n", + "Total : 0.336772 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5967 778 268 74 30 13 12 \n", + "1 : 5982 713 267 90 40 26 24 \n", + "2 : 6035 739 243 68 32 15 10 \n", + "3 : 5957 776 243 84 34 28 20 \n", + "4 : 6008 715 269 72 33 24 21 \n", + "5 : 5995 745 255 76 29 24 18 \n", + "6 : 6034 720 234 80 25 30 19 \n", + "7 : 6045 679 277 69 24 23 25 \n", + "8 : 6037 712 258 69 27 22 17 \n", + "9 : 6042 691 256 85 32 19 17 \n", + "10 : 6065 698 243 65 29 20 22 \n", + "11 : 6038 715 260 64 28 18 19 \n", + "12 : 6065 732 225 62 18 18 22 \n", + "13 : 6004 724 274 84 29 23 16 \n", + "\n", + "T : 84274 10137 3572 1042 410 303 262 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 8.2000e-03 sec\n", + "--- Collate = 5.3697e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.865146e-06 < 1.562500e-03 [124]\n", + "--- Max DT=4.219501e-01 > 1.000000e-01 [68010]\n", + "----------------------------------------------------------------------\n", + " Component | low: 124/100000\n", + " Component | high: 68010/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=86.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00124822 [ 0.43 %]\n", + "Velocity : 0.00334762 [ 1.14 %]\n", + "Force : 0.0654662 [ 22.35 %]\n", + "Coefs : 0.0324291 [ 11.07 %]\n", + "Output : 0.00524817 [ 1.79 %]\n", + "Levels : 0.000256247 [ 0.09 %]\n", + "Report : 5.99e-07 [ 0.00 %]\n", + "Balance : 3.88e-07 [ 0.00 %]\n", + "Adjust : 0.184731 [ 63.07 %]\n", + "Total : 0.292911 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5960 778 283 67 22 18 14 \n", + "1 : 5976 719 268 91 36 29 23 \n", + "2 : 6029 742 245 69 34 10 13 \n", + "3 : 5958 775 235 98 30 21 25 \n", + "4 : 6010 716 268 71 33 26 18 \n", + "5 : 5996 745 260 67 30 26 18 \n", + "6 : 6031 724 230 80 32 19 26 \n", + "7 : 6037 685 273 75 25 28 19 \n", + "8 : 6028 723 257 68 32 19 15 \n", + "9 : 6042 693 256 80 30 19 22 \n", + "10 : 6068 690 247 68 25 24 20 \n", + "11 : 6030 721 261 64 30 19 17 \n", + "12 : 6066 722 237 60 20 20 17 \n", + "13 : 6002 717 286 84 20 24 21 \n", + "\n", + "T : 84233 10150 3606 1042 399 302 268 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 7.8941e-03 sec\n", + "--- Collate = 4.9249e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.784338e-06 < 1.562500e-03 [137]\n", + "--- Max DT=4.220797e-01 > 1.000000e-01 [68022]\n", + "----------------------------------------------------------------------\n", + " Component | low: 137/100000\n", + " Component | high: 68022/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=87] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00108976 [ 0.33 %]\n", + "Velocity : 0.00308848 [ 0.92 %]\n", + "Force : 0.0643486 [ 19.20 %]\n", + "Coefs : 0.0283447 [ 8.46 %]\n", + "Output : 0.0518217 [ 15.46 %]\n", + "Levels : 0.000262614 [ 0.08 %]\n", + "Report : 1.893e-06 [ 0.00 %]\n", + "Balance : 9.77e-07 [ 0.00 %]\n", + "Adjust : 0.185967 [ 55.50 %]\n", + "Total : 0.335104 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5958 780 279 68 18 18 21 \n", + "1 : 5979 717 272 79 40 21 34 \n", + "2 : 6022 747 243 77 28 14 11 \n", + "3 : 5962 774 241 86 31 27 21 \n", + "4 : 6012 707 271 82 27 18 25 \n", + "5 : 5995 744 263 65 27 25 23 \n", + "6 : 6031 722 236 73 33 24 23 \n", + "7 : 6041 687 259 81 28 26 20 \n", + "8 : 6029 718 260 72 29 15 19 \n", + "9 : 6039 699 250 79 30 23 22 \n", + "10 : 6068 694 240 71 29 19 21 \n", + "11 : 6029 719 259 68 28 17 22 \n", + "12 : 6070 719 233 58 33 15 14 \n", + "13 : 5996 728 288 76 24 16 26 \n", + "\n", + "T : 84231 10155 3594 1035 405 278 302 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.5433e-03 sec\n", + "--- Collate = 7.9661e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.535578e-06 < 1.562500e-03 [158]\n", + "--- Max DT=4.222042e-01 > 1.000000e-01 [68022]\n", + "----------------------------------------------------------------------\n", + " Component | low: 158/100000\n", + " Component | high: 68022/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=87.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0011022 [ 0.38 %]\n", + "Velocity : 0.00326876 [ 1.11 %]\n", + "Force : 0.0643985 [ 21.97 %]\n", + "Coefs : 0.0289904 [ 9.89 %]\n", + "Output : 0.00514492 [ 1.75 %]\n", + "Levels : 0.000253997 [ 0.09 %]\n", + "Report : 4.61e-07 [ 0.00 %]\n", + "Balance : 3.23e-07 [ 0.00 %]\n", + "Adjust : 0.189831 [ 64.75 %]\n", + "Total : 0.293169 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5958 782 279 65 21 14 23 \n", + "1 : 5989 709 263 88 33 22 38 \n", + "2 : 6019 748 248 75 23 18 11 \n", + "3 : 5961 776 243 86 30 25 21 \n", + "4 : 6016 707 262 87 29 19 22 \n", + "5 : 5991 748 266 62 30 21 24 \n", + "6 : 6030 716 241 69 34 25 27 \n", + "7 : 6046 689 254 74 36 22 21 \n", + "8 : 6034 710 261 68 33 16 20 \n", + "9 : 6032 702 254 79 27 29 19 \n", + "10 : 6065 693 245 73 30 15 21 \n", + "11 : 6026 714 263 72 23 21 23 \n", + "12 : 6070 716 237 54 35 16 14 \n", + "13 : 5990 735 279 82 25 11 32 \n", + "\n", + "T : 84227 10145 3595 1034 409 274 316 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.1582e-03 sec\n", + "--- Collate = 5.1367e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.893796e-06 < 1.562500e-03 [145]\n", + "--- Max DT=4.223236e-01 > 1.000000e-01 [68047]\n", + "----------------------------------------------------------------------\n", + " Component | low: 145/100000\n", + " Component | high: 68047/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=87.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00107512 [ 0.38 %]\n", + "Velocity : 0.00308518 [ 1.09 %]\n", + "Force : 0.0646289 [ 22.74 %]\n", + "Coefs : 0.0282226 [ 9.93 %]\n", + "Output : 0.00489766 [ 1.72 %]\n", + "Levels : 0.00031062 [ 0.11 %]\n", + "Report : 5.36e-07 [ 0.00 %]\n", + "Balance : 3.52e-07 [ 0.00 %]\n", + "Adjust : 0.181776 [ 63.96 %]\n", + "Total : 0.284193 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5957 781 283 63 23 11 24 \n", + "1 : 5980 714 264 90 33 25 36 \n", + "2 : 6025 736 251 80 20 19 11 \n", + "3 : 5954 776 254 77 34 22 25 \n", + "4 : 6012 713 267 79 26 22 23 \n", + "5 : 5985 753 262 70 30 14 28 \n", + "6 : 6024 717 250 63 39 28 21 \n", + "7 : 6039 701 249 77 33 23 20 \n", + "8 : 6040 704 260 74 26 15 23 \n", + "9 : 6027 709 247 74 34 25 26 \n", + "10 : 6067 683 246 79 32 15 20 \n", + "11 : 6031 710 263 66 27 19 26 \n", + "12 : 6067 719 234 63 29 19 11 \n", + "13 : 5993 731 283 71 33 21 22 \n", + "\n", + "T : 84201 10147 3613 1026 419 278 316 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.2%\n", + "--- Adj/Tot = 0.9%\n", + "--- Update = 8.3386e-03 sec\n", + "--- Collate = 5.9904e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.905562e-06 < 1.562500e-03 [136]\n", + "--- Max DT=4.224378e-01 > 1.000000e-01 [68027]\n", + "----------------------------------------------------------------------\n", + " Component | low: 136/100000\n", + " Component | high: 68027/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=87.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00110822 [ 0.39 %]\n", + "Velocity : 0.00327929 [ 1.15 %]\n", + "Force : 0.0652635 [ 22.83 %]\n", + "Coefs : 0.0283998 [ 9.94 %]\n", + "Output : 0.00498622 [ 1.74 %]\n", + "Levels : 0.000243124 [ 0.09 %]\n", + "Report : 4.26e-07 [ 0.00 %]\n", + "Balance : 3.46e-07 [ 0.00 %]\n", + "Adjust : 0.182384 [ 63.81 %]\n", + "Total : 0.285844 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5959 770 292 60 27 16 18 \n", + "1 : 5978 719 262 86 35 25 37 \n", + "2 : 6020 734 249 91 21 12 15 \n", + "3 : 5956 779 245 78 31 23 30 \n", + "4 : 6012 711 281 74 22 23 19 \n", + "5 : 5985 747 263 75 27 22 23 \n", + "6 : 6027 709 250 71 31 28 26 \n", + "7 : 6039 705 245 80 31 18 24 \n", + "8 : 6039 710 254 73 23 18 25 \n", + "9 : 6026 707 244 80 37 21 27 \n", + "10 : 6064 688 241 81 36 15 17 \n", + "11 : 6036 702 263 64 35 19 23 \n", + "12 : 6065 727 231 60 29 14 16 \n", + "13 : 5989 743 281 63 37 23 18 \n", + "\n", + "T : 84195 10151 3601 1036 422 277 318 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.0802e-03 sec\n", + "--- Collate = 5.4175e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.803163e-06 < 1.562500e-03 [147]\n", + "--- Max DT=4.225472e-01 > 1.000000e-01 [68030]\n", + "----------------------------------------------------------------------\n", + " Component | low: 147/100000\n", + " Component | high: 68030/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=87.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00106761 [ 0.39 %]\n", + "Velocity : 0.00316424 [ 1.14 %]\n", + "Force : 0.062059 [ 22.40 %]\n", + "Coefs : 0.0301888 [ 10.90 %]\n", + "Output : 0.00469408 [ 1.69 %]\n", + "Levels : 0.000228038 [ 0.08 %]\n", + "Report : 4.29e-07 [ 0.00 %]\n", + "Balance : 3.49e-07 [ 0.00 %]\n", + "Adjust : 0.175466 [ 63.34 %]\n", + "Total : 0.277035 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5955 774 290 63 24 20 16 \n", + "1 : 5970 724 272 80 35 28 33 \n", + "2 : 6019 739 252 80 24 12 16 \n", + "3 : 5949 781 249 75 36 24 28 \n", + "4 : 6018 705 275 80 28 15 21 \n", + "5 : 5988 752 253 79 32 20 18 \n", + "6 : 6021 710 247 76 37 28 23 \n", + "7 : 6043 698 252 77 29 22 21 \n", + "8 : 6035 715 249 73 26 23 21 \n", + "9 : 6036 697 239 81 37 23 29 \n", + "10 : 6061 689 243 87 28 21 13 \n", + "11 : 6033 700 267 64 37 19 22 \n", + "12 : 6065 721 235 66 25 12 18 \n", + "13 : 5992 738 287 58 42 26 11 \n", + "\n", + "T : 84185 10143 3610 1039 440 293 290 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.3%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.5255e-03 sec\n", + "--- Collate = 5.7303e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.334227e-06 < 1.562500e-03 [126]\n", + "--- Max DT=4.226515e-01 > 1.000000e-01 [68012]\n", + "----------------------------------------------------------------------\n", + " Component | low: 126/100000\n", + " Component | high: 68012/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=87.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000950417 [ 0.33 %]\n", + "Velocity : 0.00305331 [ 1.04 %]\n", + "Force : 0.0635343 [ 21.74 %]\n", + "Coefs : 0.0282252 [ 9.66 %]\n", + "Output : 0.00518189 [ 1.77 %]\n", + "Levels : 0.000274557 [ 0.09 %]\n", + "Report : 5.21e-07 [ 0.00 %]\n", + "Balance : 3.52e-07 [ 0.00 %]\n", + "Adjust : 0.190815 [ 65.30 %]\n", + "Total : 0.29222 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5948 775 295 66 24 21 13 \n", + "1 : 5977 715 268 86 38 32 26 \n", + "2 : 6018 734 256 74 25 18 17 \n", + "3 : 5948 781 249 74 39 25 26 \n", + "4 : 6019 700 286 79 26 13 19 \n", + "5 : 5994 746 259 79 30 19 15 \n", + "6 : 6018 713 246 79 36 18 32 \n", + "7 : 6040 699 254 74 29 23 23 \n", + "8 : 6027 724 248 75 26 20 22 \n", + "9 : 6041 695 238 77 35 30 26 \n", + "10 : 6059 692 237 82 35 21 16 \n", + "11 : 6030 701 262 71 33 28 17 \n", + "12 : 6070 711 243 63 27 11 17 \n", + "13 : 5990 739 282 64 40 21 18 \n", + "\n", + "T : 84179 10125 3623 1043 443 300 287 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.2872e-03 sec\n", + "--- Collate = 5.8740e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.178644e-06 < 1.562500e-03 [129]\n", + "--- Max DT=4.227507e-01 > 1.000000e-01 [67976]\n", + "----------------------------------------------------------------------\n", + " Component | low: 129/100000\n", + " Component | high: 67976/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=87.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00106619 [ 0.37 %]\n", + "Velocity : 0.00323439 [ 1.11 %]\n", + "Force : 0.0667874 [ 22.92 %]\n", + "Coefs : 0.0287119 [ 9.85 %]\n", + "Output : 0.00515091 [ 1.77 %]\n", + "Levels : 0.000244187 [ 0.08 %]\n", + "Report : 3.91e-07 [ 0.00 %]\n", + "Balance : 2.98e-07 [ 0.00 %]\n", + "Adjust : 0.185978 [ 63.83 %]\n", + "Total : 0.291352 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5948 766 290 81 26 13 18 \n", + "1 : 5972 710 287 73 44 30 26 \n", + "2 : 6026 723 257 69 28 23 16 \n", + "3 : 5955 772 251 78 37 27 22 \n", + "4 : 6017 701 289 69 32 19 15 \n", + "5 : 5995 749 253 82 31 16 16 \n", + "6 : 6019 716 246 72 37 30 22 \n", + "7 : 6027 716 257 68 27 18 29 \n", + "8 : 6028 721 252 71 35 16 19 \n", + "9 : 6043 692 240 78 34 28 27 \n", + "10 : 6059 692 229 94 33 15 20 \n", + "11 : 6040 692 264 72 26 28 20 \n", + "12 : 6079 705 235 63 32 14 14 \n", + "13 : 5986 738 287 73 29 23 18 \n", + "\n", + "T : 84194 10093 3637 1043 451 300 282 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 7.8907e-03 sec\n", + "--- Collate = 5.0923e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.192654e-05 < 1.562500e-03 [130]\n", + "--- Max DT=4.228443e-01 > 1.000000e-01 [67988]\n", + "----------------------------------------------------------------------\n", + " Component | low: 130/100000\n", + " Component | high: 67988/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=87.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00106477 [ 0.38 %]\n", + "Velocity : 0.00306535 [ 1.08 %]\n", + "Force : 0.0641285 [ 22.61 %]\n", + "Coefs : 0.0288835 [ 10.18 %]\n", + "Output : 0.00487669 [ 1.72 %]\n", + "Levels : 0.000229318 [ 0.08 %]\n", + "Report : 6.08e-07 [ 0.00 %]\n", + "Balance : 3.57e-07 [ 0.00 %]\n", + "Adjust : 0.181178 [ 63.88 %]\n", + "Total : 0.283607 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5953 767 279 87 23 14 19 \n", + "1 : 5973 716 280 73 43 30 27 \n", + "2 : 6024 730 256 64 27 22 19 \n", + "3 : 5957 771 244 82 36 32 20 \n", + "4 : 6014 697 293 70 34 17 17 \n", + "5 : 6000 742 251 84 34 15 16 \n", + "6 : 6020 714 249 72 43 16 28 \n", + "7 : 6025 716 255 68 32 22 24 \n", + "8 : 6033 709 264 62 41 19 14 \n", + "9 : 6033 704 239 66 49 24 27 \n", + "10 : 6062 688 229 86 38 19 20 \n", + "11 : 6030 695 272 81 22 13 29 \n", + "12 : 6083 699 244 56 29 21 10 \n", + "13 : 5991 728 287 76 30 19 23 \n", + "\n", + "T : 84198 10076 3642 1027 481 283 293 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.2220e-03 sec\n", + "--- Collate = 5.8938e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.045090e-06 < 1.562500e-03 [146]\n", + "--- Max DT=4.229327e-01 > 1.000000e-01 [67950]\n", + "----------------------------------------------------------------------\n", + " Component | low: 146/100000\n", + " Component | high: 67950/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=87.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00102116 [ 0.37 %]\n", + "Velocity : 0.00299254 [ 1.08 %]\n", + "Force : 0.0615264 [ 22.19 %]\n", + "Coefs : 0.0287425 [ 10.37 %]\n", + "Output : 0.00476655 [ 1.72 %]\n", + "Levels : 0.000284637 [ 0.10 %]\n", + "Report : 6.44e-07 [ 0.00 %]\n", + "Balance : 3.43e-07 [ 0.00 %]\n", + "Adjust : 0.17772 [ 64.11 %]\n", + "Total : 0.277224 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5950 766 278 90 20 17 21 \n", + "1 : 5971 715 282 74 43 23 34 \n", + "2 : 6022 731 261 61 29 19 19 \n", + "3 : 5951 776 248 74 47 24 22 \n", + "4 : 6006 701 293 77 29 21 15 \n", + "5 : 6000 745 249 86 31 12 19 \n", + "6 : 6017 719 251 73 36 25 21 \n", + "7 : 6031 709 254 65 37 24 22 \n", + "8 : 6028 714 262 63 40 15 20 \n", + "9 : 6031 706 241 74 33 25 32 \n", + "10 : 6059 685 237 81 36 16 28 \n", + "11 : 6036 688 271 81 25 10 31 \n", + "12 : 6078 699 239 64 33 17 12 \n", + "13 : 5985 728 292 75 33 17 24 \n", + "\n", + "T : 84165 10082 3658 1038 472 265 320 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 7.8821e-03 sec\n", + "--- Collate = 5.1634e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.563715e-06 < 1.562500e-03 [158]\n", + "--- Max DT=4.230162e-01 > 1.000000e-01 [67960]\n", + "----------------------------------------------------------------------\n", + " Component | low: 158/100000\n", + " Component | high: 67960/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=87.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00105817 [ 0.39 %]\n", + "Velocity : 0.00304552 [ 1.11 %]\n", + "Force : 0.0643518 [ 23.43 %]\n", + "Coefs : 0.0276702 [ 10.07 %]\n", + "Output : 0.0046996 [ 1.71 %]\n", + "Levels : 0.000314976 [ 0.11 %]\n", + "Report : 6.41e-07 [ 0.00 %]\n", + "Balance : 3.09e-07 [ 0.00 %]\n", + "Adjust : 0.173355 [ 63.11 %]\n", + "Total : 0.27467 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5946 769 279 86 25 15 22 \n", + "1 : 5971 708 292 77 32 27 35 \n", + "2 : 6016 732 263 63 25 20 23 \n", + "3 : 5950 774 250 84 35 21 28 \n", + "4 : 6009 701 289 84 22 13 24 \n", + "5 : 6004 740 249 88 25 18 18 \n", + "6 : 6012 718 260 75 33 20 24 \n", + "7 : 6025 710 258 70 32 26 21 \n", + "8 : 6025 717 267 64 30 20 19 \n", + "9 : 6035 703 236 81 34 19 34 \n", + "10 : 6058 681 235 82 40 19 27 \n", + "11 : 6038 682 278 75 29 18 22 \n", + "12 : 6076 691 249 66 26 16 18 \n", + "13 : 5989 720 294 79 31 21 20 \n", + "\n", + "T : 84154 10046 3699 1074 419 273 335 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 7.9112e-03 sec\n", + "--- Collate = 6.6251e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.319492e-05 < 1.562500e-03 [149]\n", + "--- Max DT=4.230950e-01 > 1.000000e-01 [67945]\n", + "----------------------------------------------------------------------\n", + " Component | low: 149/100000\n", + " Component | high: 67945/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=88] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000967152 [ 0.29 %]\n", + "Velocity : 0.00308615 [ 0.93 %]\n", + "Force : 0.0657356 [ 19.87 %]\n", + "Coefs : 0.0296156 [ 8.95 %]\n", + "Output : 0.0507706 [ 15.35 %]\n", + "Levels : 0.00023239 [ 0.07 %]\n", + "Report : 1.776e-06 [ 0.00 %]\n", + "Balance : 9.97e-07 [ 0.00 %]\n", + "Adjust : 0.180209 [ 54.48 %]\n", + "Total : 0.330808 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5938 778 281 79 21 25 20 \n", + "1 : 5962 717 283 87 27 22 44 \n", + "2 : 6017 732 254 68 29 21 21 \n", + "3 : 5957 760 260 78 36 21 30 \n", + "4 : 6007 700 289 88 20 14 24 \n", + "5 : 6009 737 247 84 31 19 15 \n", + "6 : 6011 715 260 76 32 23 25 \n", + "7 : 6019 716 262 69 30 24 22 \n", + "8 : 6018 726 262 70 26 16 24 \n", + "9 : 6034 704 239 75 35 26 29 \n", + "10 : 6055 688 233 80 37 21 28 \n", + "11 : 6027 697 270 78 30 29 11 \n", + "12 : 6074 694 246 64 26 14 24 \n", + "13 : 5990 712 298 74 40 18 22 \n", + "\n", + "T : 84118 10076 3684 1070 420 293 339 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.5235e-03 sec\n", + "--- Collate = 6.1505e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.475816e-05 < 1.562500e-03 [160]\n", + "--- Max DT=4.231696e-01 > 1.000000e-01 [67940]\n", + "----------------------------------------------------------------------\n", + " Component | low: 160/100000\n", + " Component | high: 67940/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=88.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00105707 [ 0.37 %]\n", + "Velocity : 0.00321649 [ 1.12 %]\n", + "Force : 0.0647507 [ 22.48 %]\n", + "Coefs : 0.0291154 [ 10.11 %]\n", + "Output : 0.00498307 [ 1.73 %]\n", + "Levels : 0.000242671 [ 0.08 %]\n", + "Report : 8.25e-07 [ 0.00 %]\n", + "Balance : 3.65e-07 [ 0.00 %]\n", + "Adjust : 0.184536 [ 64.06 %]\n", + "Total : 0.288071 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5940 766 291 79 22 19 25 \n", + "1 : 5958 710 298 80 34 27 35 \n", + "2 : 6017 731 249 74 30 22 19 \n", + "3 : 5949 767 259 79 32 28 28 \n", + "4 : 6006 701 293 82 22 14 24 \n", + "5 : 6010 725 259 87 26 18 17 \n", + "6 : 6014 713 260 72 34 28 21 \n", + "7 : 6018 711 265 76 30 14 28 \n", + "8 : 6025 719 263 68 27 18 22 \n", + "9 : 6032 712 231 76 38 25 28 \n", + "10 : 6045 686 250 77 35 23 26 \n", + "11 : 6023 706 262 84 24 23 20 \n", + "12 : 6061 709 248 59 24 16 25 \n", + "13 : 5981 721 293 80 39 20 20 \n", + "\n", + "T : 84079 10077 3721 1073 417 295 338 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 8.5224e-03 sec\n", + "--- Collate = 5.5947e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.521858e-07 < 1.562500e-03 [151]\n", + "--- Max DT=4.232396e-01 > 1.000000e-01 [67920]\n", + "----------------------------------------------------------------------\n", + " Component | low: 151/100000\n", + " Component | high: 67920/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=88.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00116279 [ 0.41 %]\n", + "Velocity : 0.00323291 [ 1.14 %]\n", + "Force : 0.0631439 [ 22.36 %]\n", + "Coefs : 0.028019 [ 9.92 %]\n", + "Output : 0.00475102 [ 1.68 %]\n", + "Levels : 0.000290343 [ 0.10 %]\n", + "Report : 6.77e-07 [ 0.00 %]\n", + "Balance : 3.66e-07 [ 0.00 %]\n", + "Adjust : 0.181664 [ 64.32 %]\n", + "Total : 0.282453 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5939 771 282 80 32 19 19 \n", + "1 : 5955 711 295 87 38 23 33 \n", + "2 : 6025 720 255 71 31 20 20 \n", + "3 : 5958 751 267 82 32 20 32 \n", + "4 : 6010 696 287 88 23 22 16 \n", + "5 : 6015 714 264 87 27 17 18 \n", + "6 : 6011 710 278 54 38 27 24 \n", + "7 : 6015 713 266 75 34 11 28 \n", + "8 : 6021 723 261 68 29 20 20 \n", + "9 : 6038 708 226 76 43 26 25 \n", + "10 : 6048 685 248 81 33 26 21 \n", + "11 : 6028 691 273 82 32 11 25 \n", + "12 : 6066 691 263 58 21 18 25 \n", + "13 : 5984 715 293 85 40 21 16 \n", + "\n", + "T : 84113 9999 3758 1074 453 281 322 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.7889e-03 sec\n", + "--- Collate = 5.5041e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.931336e-07 < 1.562500e-03 [128]\n", + "--- Max DT=4.233048e-01 > 1.000000e-01 [67924]\n", + "----------------------------------------------------------------------\n", + " Component | low: 128/100000\n", + " Component | high: 67924/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=88.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00104914 [ 0.36 %]\n", + "Velocity : 0.00329102 [ 1.14 %]\n", + "Force : 0.064103 [ 22.18 %]\n", + "Coefs : 0.0286079 [ 9.90 %]\n", + "Output : 0.00525257 [ 1.82 %]\n", + "Levels : 0.000260292 [ 0.09 %]\n", + "Report : 6.43e-07 [ 0.00 %]\n", + "Balance : 3.08e-07 [ 0.00 %]\n", + "Adjust : 0.186247 [ 64.45 %]\n", + "Total : 0.288977 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5938 774 279 80 30 22 19 \n", + "1 : 5955 707 297 85 47 29 22 \n", + "2 : 6029 720 249 73 31 22 18 \n", + "3 : 5964 746 264 79 35 26 28 \n", + "4 : 6012 698 282 84 34 15 17 \n", + "5 : 6013 720 262 84 27 16 20 \n", + "6 : 6014 709 275 56 36 25 27 \n", + "7 : 6011 717 262 77 33 25 17 \n", + "8 : 6017 730 264 67 24 20 20 \n", + "9 : 6043 702 233 82 33 26 23 \n", + "10 : 6048 679 247 85 31 26 26 \n", + "11 : 6027 693 273 78 39 8 24 \n", + "12 : 6066 685 271 52 25 19 24 \n", + "13 : 5982 713 297 82 41 22 17 \n", + "\n", + "T : 84119 9993 3755 1064 466 301 302 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.4657e-03 sec\n", + "--- Collate = 7.0387e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.912442e-07 < 1.562500e-03 [141]\n", + "--- Max DT=4.233651e-01 > 1.000000e-01 [67932]\n", + "----------------------------------------------------------------------\n", + " Component | low: 141/100000\n", + " Component | high: 67932/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=88.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00111293 [ 0.38 %]\n", + "Velocity : 0.00329112 [ 1.13 %]\n", + "Force : 0.0638558 [ 21.95 %]\n", + "Coefs : 0.0302163 [ 10.39 %]\n", + "Output : 0.00519879 [ 1.79 %]\n", + "Levels : 0.0002274 [ 0.08 %]\n", + "Report : 5.61e-07 [ 0.00 %]\n", + "Balance : 3.17e-07 [ 0.00 %]\n", + "Adjust : 0.186755 [ 64.21 %]\n", + "Total : 0.290849 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5937 775 273 82 32 26 17 \n", + "1 : 5956 710 294 88 42 33 19 \n", + "2 : 6020 721 257 75 25 24 20 \n", + "3 : 5954 758 275 69 30 26 30 \n", + "4 : 6006 699 290 81 31 22 13 \n", + "5 : 6016 714 268 73 35 21 15 \n", + "6 : 6008 713 277 57 36 21 30 \n", + "7 : 6007 717 265 75 39 21 18 \n", + "8 : 6015 732 264 65 28 16 22 \n", + "9 : 6046 695 238 75 33 25 30 \n", + "10 : 6043 688 245 87 31 25 23 \n", + "11 : 6026 694 270 83 26 25 18 \n", + "12 : 6062 690 268 61 21 14 26 \n", + "13 : 5981 720 292 80 44 20 17 \n", + "\n", + "T : 84077 10026 3776 1051 453 319 298 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.1%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.4645e-03 sec\n", + "--- Collate = 5.4104e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.263273e-06 < 1.562500e-03 [142]\n", + "--- Max DT=4.234208e-01 > 1.000000e-01 [67945]\n", + "----------------------------------------------------------------------\n", + " Component | low: 142/100000\n", + " Component | high: 67945/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=88.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00107734 [ 0.40 %]\n", + "Velocity : 0.00309498 [ 1.14 %]\n", + "Force : 0.0613943 [ 22.65 %]\n", + "Coefs : 0.027541 [ 10.16 %]\n", + "Output : 0.00495463 [ 1.83 %]\n", + "Levels : 0.000241314 [ 0.09 %]\n", + "Report : 5.16e-07 [ 0.00 %]\n", + "Balance : 3.47e-07 [ 0.00 %]\n", + "Adjust : 0.172542 [ 63.67 %]\n", + "Total : 0.271008 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5932 778 277 83 31 22 19 \n", + "1 : 5956 725 277 88 54 23 19 \n", + "2 : 6015 731 250 72 25 26 23 \n", + "3 : 5948 763 282 69 24 23 33 \n", + "4 : 5999 700 297 82 30 15 19 \n", + "5 : 6017 712 267 80 30 18 18 \n", + "6 : 6009 707 275 72 27 23 29 \n", + "7 : 6002 724 265 67 41 22 21 \n", + "8 : 6018 736 257 64 30 17 20 \n", + "9 : 6048 689 241 75 36 22 31 \n", + "10 : 6044 681 248 92 23 25 29 \n", + "11 : 6027 691 268 84 34 16 22 \n", + "12 : 6058 687 270 68 19 18 22 \n", + "13 : 5978 724 295 77 38 20 22 \n", + "\n", + "T : 84051 10048 3769 1073 442 290 327 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.0814e-03 sec\n", + "--- Collate = 4.3639e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.400907e-06 < 1.562500e-03 [156]\n", + "--- Max DT=4.234720e-01 > 1.000000e-01 [67947]\n", + "----------------------------------------------------------------------\n", + " Component | low: 156/100000\n", + " Component | high: 67947/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=88.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00111593 [ 0.40 %]\n", + "Velocity : 0.00335652 [ 1.20 %]\n", + "Force : 0.0645363 [ 23.01 %]\n", + "Coefs : 0.0274615 [ 9.79 %]\n", + "Output : 0.00488932 [ 1.74 %]\n", + "Levels : 0.000251326 [ 0.09 %]\n", + "Report : 5.98e-07 [ 0.00 %]\n", + "Balance : 3.96e-07 [ 0.00 %]\n", + "Adjust : 0.17875 [ 63.72 %]\n", + "Total : 0.280523 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5933 782 263 77 44 23 20 \n", + "1 : 5954 730 277 92 38 26 25 \n", + "2 : 6017 725 259 67 26 22 26 \n", + "3 : 5960 748 287 68 30 22 27 \n", + "4 : 5999 695 304 80 25 20 19 \n", + "5 : 6016 712 264 84 26 19 21 \n", + "6 : 6000 714 274 78 20 31 25 \n", + "7 : 6003 717 266 77 32 23 24 \n", + "8 : 6014 732 264 64 27 27 14 \n", + "9 : 6046 690 235 87 30 29 25 \n", + "10 : 6048 675 257 82 31 18 31 \n", + "11 : 6031 683 275 81 32 16 24 \n", + "12 : 6052 686 279 64 24 22 15 \n", + "13 : 5979 723 291 84 33 23 21 \n", + "\n", + "T : 84052 10012 3795 1085 418 321 317 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 1.0725e-02 sec\n", + "--- Collate = 5.4045e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.247094e-05 < 1.562500e-03 [131]\n", + "--- Max DT=4.235188e-01 > 1.000000e-01 [67933]\n", + "----------------------------------------------------------------------\n", + " Component | low: 131/100000\n", + " Component | high: 67933/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=88.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000875227 [ 0.28 %]\n", + "Velocity : 0.00341062 [ 1.08 %]\n", + "Force : 0.0695898 [ 21.96 %]\n", + "Coefs : 0.0316189 [ 9.98 %]\n", + "Output : 0.005349 [ 1.69 %]\n", + "Levels : 0.000269425 [ 0.09 %]\n", + "Report : 4.55e-07 [ 0.00 %]\n", + "Balance : 4.5e-07 [ 0.00 %]\n", + "Adjust : 0.205563 [ 64.87 %]\n", + "Total : 0.316863 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5939 770 276 72 35 29 21 \n", + "1 : 5950 737 273 90 38 23 31 \n", + "2 : 6012 732 257 66 25 23 27 \n", + "3 : 5955 758 282 71 29 25 22 \n", + "4 : 5991 703 303 78 25 20 22 \n", + "5 : 6013 713 264 80 36 10 26 \n", + "6 : 6005 710 279 77 24 25 22 \n", + "7 : 6005 708 273 74 33 16 33 \n", + "8 : 6017 732 257 66 28 25 17 \n", + "9 : 6048 687 241 79 37 23 27 \n", + "10 : 6051 672 260 77 33 22 27 \n", + "11 : 6029 686 281 71 32 17 26 \n", + "12 : 6047 694 276 52 36 24 13 \n", + "13 : 5979 722 293 85 34 14 27 \n", + "\n", + "T : 84041 10024 3815 1038 445 296 341 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.9675e-03 sec\n", + "--- Collate = 6.8179e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.470606e-06 < 1.562500e-03 [169]\n", + "--- Max DT=4.235613e-01 > 1.000000e-01 [67919]\n", + "----------------------------------------------------------------------\n", + " Component | low: 169/100000\n", + " Component | high: 67919/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=88.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00130171 [ 0.39 %]\n", + "Velocity : 0.00357377 [ 1.06 %]\n", + "Force : 0.0752095 [ 22.38 %]\n", + "Coefs : 0.0342538 [ 10.19 %]\n", + "Output : 0.00581246 [ 1.73 %]\n", + "Levels : 0.000277667 [ 0.08 %]\n", + "Report : 7.91e-07 [ 0.00 %]\n", + "Balance : 4.32e-07 [ 0.00 %]\n", + "Adjust : 0.215388 [ 64.10 %]\n", + "Total : 0.336005 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5942 769 274 63 46 23 25 \n", + "1 : 5951 734 273 85 42 28 29 \n", + "2 : 6006 734 253 75 23 20 31 \n", + "3 : 5953 759 281 72 32 26 19 \n", + "4 : 5996 698 299 77 28 17 27 \n", + "5 : 6014 703 279 71 35 22 18 \n", + "6 : 6008 706 285 71 31 17 24 \n", + "7 : 6012 707 263 77 27 23 33 \n", + "8 : 6017 731 259 64 29 18 24 \n", + "9 : 6041 685 247 86 41 18 24 \n", + "10 : 6042 678 267 75 36 22 22 \n", + "11 : 6034 681 277 79 28 22 21 \n", + "12 : 6046 697 273 60 24 20 22 \n", + "13 : 5974 717 297 88 36 20 22 \n", + "\n", + "T : 84036 9999 3827 1043 458 296 341 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.4622e-03 sec\n", + "--- Collate = 5.6575e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.710519e-05 < 1.562500e-03 [179]\n", + "--- Max DT=4.235993e-01 > 1.000000e-01 [67906]\n", + "----------------------------------------------------------------------\n", + " Component | low: 179/100000\n", + " Component | high: 67906/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=88.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00138217 [ 0.46 %]\n", + "Velocity : 0.00374738 [ 1.25 %]\n", + "Force : 0.0687798 [ 22.98 %]\n", + "Coefs : 0.0313126 [ 10.46 %]\n", + "Output : 0.00537569 [ 1.80 %]\n", + "Levels : 0.000238436 [ 0.08 %]\n", + "Report : 5.99e-07 [ 0.00 %]\n", + "Balance : 3.31e-07 [ 0.00 %]\n", + "Adjust : 0.188319 [ 62.91 %]\n", + "Total : 0.29935 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5937 767 284 62 38 30 24 \n", + "1 : 5951 738 272 85 45 22 29 \n", + "2 : 6002 735 255 75 27 24 24 \n", + "3 : 5951 765 270 84 31 20 21 \n", + "4 : 6003 689 305 71 32 17 25 \n", + "5 : 6017 704 275 76 30 18 22 \n", + "6 : 6010 700 285 83 24 21 19 \n", + "7 : 6019 701 266 74 28 22 32 \n", + "8 : 6012 732 268 62 27 11 30 \n", + "9 : 6045 678 247 92 42 15 23 \n", + "10 : 6043 675 276 68 31 27 22 \n", + "11 : 6039 679 275 75 31 22 21 \n", + "12 : 6048 689 275 64 24 18 24 \n", + "13 : 5977 712 294 92 39 17 23 \n", + "\n", + "T : 84054 9964 3847 1063 449 284 339 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.3798e-03 sec\n", + "--- Collate = 4.8436e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.463421e-05 < 1.562500e-03 [139]\n", + "--- Max DT=4.236331e-01 > 1.000000e-01 [67915]\n", + "----------------------------------------------------------------------\n", + " Component | low: 139/100000\n", + " Component | high: 67915/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=89] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0011409 [ 0.35 %]\n", + "Velocity : 0.00332133 [ 1.01 %]\n", + "Force : 0.0632073 [ 19.32 %]\n", + "Coefs : 0.0281602 [ 8.61 %]\n", + "Output : 0.0488508 [ 14.93 %]\n", + "Levels : 0.000308798 [ 0.09 %]\n", + "Report : 1.014e-06 [ 0.00 %]\n", + "Balance : 7.39e-07 [ 0.00 %]\n", + "Adjust : 0.182082 [ 55.64 %]\n", + "Total : 0.327243 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5935 759 290 71 35 24 28 \n", + "1 : 5953 736 278 83 39 29 24 \n", + "2 : 6004 729 262 73 30 23 21 \n", + "3 : 5948 769 270 81 31 21 22 \n", + "4 : 6003 694 298 77 29 18 23 \n", + "5 : 6016 705 279 78 26 20 18 \n", + "6 : 6009 711 280 78 28 20 16 \n", + "7 : 6018 705 270 71 28 21 29 \n", + "8 : 6012 739 262 63 22 14 30 \n", + "9 : 6048 674 254 93 36 18 19 \n", + "10 : 6041 680 265 73 36 18 29 \n", + "11 : 6037 671 286 69 36 21 22 \n", + "12 : 6048 678 290 57 22 21 26 \n", + "13 : 5978 713 292 97 35 22 17 \n", + "\n", + "T : 84050 9963 3876 1064 433 290 324 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.1%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.3256e-03 sec\n", + "--- Collate = 5.6755e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.919030e-06 < 1.562500e-03 [137]\n", + "--- Max DT=4.236628e-01 > 1.000000e-01 [67935]\n", + "----------------------------------------------------------------------\n", + " Component | low: 137/100000\n", + " Component | high: 67935/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=89.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000995621 [ 0.34 %]\n", + "Velocity : 0.00325704 [ 1.12 %]\n", + "Force : 0.0659928 [ 22.62 %]\n", + "Coefs : 0.0297153 [ 10.18 %]\n", + "Output : 0.00516196 [ 1.77 %]\n", + "Levels : 0.000254668 [ 0.09 %]\n", + "Report : 6.77e-07 [ 0.00 %]\n", + "Balance : 3.47e-07 [ 0.00 %]\n", + "Adjust : 0.186196 [ 63.82 %]\n", + "Total : 0.291763 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5945 744 293 79 24 29 28 \n", + "1 : 5947 747 270 86 42 32 18 \n", + "2 : 6012 716 266 81 33 15 19 \n", + "3 : 5944 777 257 89 33 16 26 \n", + "4 : 5995 702 299 73 33 18 22 \n", + "5 : 6016 709 276 72 30 19 20 \n", + "6 : 6010 716 268 82 35 17 14 \n", + "7 : 6017 702 273 74 28 25 23 \n", + "8 : 6008 736 265 67 25 19 22 \n", + "9 : 6049 665 262 89 45 16 16 \n", + "10 : 6033 687 270 75 30 18 29 \n", + "11 : 6046 660 283 77 35 16 25 \n", + "12 : 6044 679 289 60 22 21 27 \n", + "13 : 5981 711 295 98 36 17 16 \n", + "\n", + "T : 84047 9951 3866 1102 451 278 305 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.0075e-03 sec\n", + "--- Collate = 4.7025e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.302683e-06 < 1.562500e-03 [116]\n", + "--- Max DT=4.236883e-01 > 1.000000e-01 [67923]\n", + "----------------------------------------------------------------------\n", + " Component | low: 116/100000\n", + " Component | high: 67923/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=89.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00110617 [ 0.36 %]\n", + "Velocity : 0.00343452 [ 1.12 %]\n", + "Force : 0.0662612 [ 21.68 %]\n", + "Coefs : 0.0336124 [ 11.00 %]\n", + "Output : 0.00504454 [ 1.65 %]\n", + "Levels : 0.000260442 [ 0.09 %]\n", + "Report : 6.08e-07 [ 0.00 %]\n", + "Balance : 4.32e-07 [ 0.00 %]\n", + "Adjust : 0.195685 [ 64.04 %]\n", + "Total : 0.305581 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5946 747 281 84 34 19 31 \n", + "1 : 5945 752 264 93 41 28 19 \n", + "2 : 6018 711 261 83 38 15 16 \n", + "3 : 5949 774 258 79 37 19 26 \n", + "4 : 5997 705 296 71 35 21 17 \n", + "5 : 6015 713 267 79 27 25 16 \n", + "6 : 6006 716 279 75 30 21 15 \n", + "7 : 6023 688 283 74 31 18 25 \n", + "8 : 6002 740 262 73 27 21 17 \n", + "9 : 6048 667 266 86 40 18 17 \n", + "10 : 6040 681 265 84 28 14 30 \n", + "11 : 6040 671 282 67 36 27 19 \n", + "12 : 6040 682 291 52 28 26 23 \n", + "13 : 5973 711 299 100 38 18 15 \n", + "\n", + "T : 84042 9958 3854 1100 470 290 286 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.4781e-03 sec\n", + "--- Collate = 6.0411e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.019793e-05 < 1.562500e-03 [128]\n", + "--- Max DT=4.237094e-01 > 1.000000e-01 [67918]\n", + "----------------------------------------------------------------------\n", + " Component | low: 128/100000\n", + " Component | high: 67918/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=89.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00143719 [ 0.43 %]\n", + "Velocity : 0.00352207 [ 1.06 %]\n", + "Force : 0.0761918 [ 22.99 %]\n", + "Coefs : 0.0334524 [ 10.09 %]\n", + "Output : 0.00544151 [ 1.64 %]\n", + "Levels : 0.000274684 [ 0.08 %]\n", + "Report : 6.44e-07 [ 0.00 %]\n", + "Balance : 4.51e-07 [ 0.00 %]\n", + "Adjust : 0.210865 [ 63.63 %]\n", + "Total : 0.331378 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5942 745 279 83 44 24 25 \n", + "1 : 5952 753 254 98 42 24 19 \n", + "2 : 6017 713 255 92 29 25 11 \n", + "3 : 5945 777 263 66 43 20 28 \n", + "4 : 6006 710 273 82 34 16 21 \n", + "5 : 6020 704 272 81 28 15 22 \n", + "6 : 6014 703 274 83 33 13 22 \n", + "7 : 6021 687 281 84 28 18 23 \n", + "8 : 5999 740 264 73 36 13 17 \n", + "9 : 6050 670 266 79 39 15 23 \n", + "10 : 6039 687 255 85 31 19 26 \n", + "11 : 6042 665 277 80 34 24 20 \n", + "12 : 6043 686 276 61 30 17 29 \n", + "13 : 5979 698 306 92 42 20 17 \n", + "\n", + "T : 84069 9938 3795 1139 493 263 303 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.8210e-03 sec\n", + "--- Collate = 5.1561e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.716943e-06 < 1.562500e-03 [150]\n", + "--- Max DT=4.237261e-01 > 1.000000e-01 [67957]\n", + "----------------------------------------------------------------------\n", + " Component | low: 150/100000\n", + " Component | high: 67957/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=89.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00139272 [ 0.42 %]\n", + "Velocity : 0.00353021 [ 1.06 %]\n", + "Force : 0.0776629 [ 23.40 %]\n", + "Coefs : 0.0359581 [ 10.83 %]\n", + "Output : 0.00525079 [ 1.58 %]\n", + "Levels : 0.000241456 [ 0.07 %]\n", + "Report : 7.28e-07 [ 0.00 %]\n", + "Balance : 4.29e-07 [ 0.00 %]\n", + "Adjust : 0.207627 [ 62.56 %]\n", + "Total : 0.33187 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5952 736 275 94 38 27 20 \n", + "1 : 5955 743 258 106 40 18 22 \n", + "2 : 6020 717 245 87 30 26 17 \n", + "3 : 5958 758 264 78 32 24 28 \n", + "4 : 6008 708 268 88 33 17 20 \n", + "5 : 6021 708 265 78 31 17 22 \n", + "6 : 6012 700 278 87 29 14 22 \n", + "7 : 6024 686 273 88 27 25 19 \n", + "8 : 6000 739 261 74 38 16 14 \n", + "9 : 6044 672 271 81 35 11 28 \n", + "10 : 6037 685 260 83 39 18 20 \n", + "11 : 6045 670 275 72 33 23 24 \n", + "12 : 6042 685 271 68 31 18 27 \n", + "13 : 5981 697 303 95 36 20 22 \n", + "\n", + "T : 84099 9904 3767 1179 472 274 305 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.2488e-03 sec\n", + "--- Collate = 5.6010e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.731528e-06 < 1.562500e-03 [139]\n", + "--- Max DT=4.237384e-01 > 1.000000e-01 [67954]\n", + "----------------------------------------------------------------------\n", + " Component | low: 139/100000\n", + " Component | high: 67954/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=89.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00132209 [ 0.41 %]\n", + "Velocity : 0.00379489 [ 1.18 %]\n", + "Force : 0.0718529 [ 22.34 %]\n", + "Coefs : 0.0316285 [ 9.83 %]\n", + "Output : 0.00571387 [ 1.78 %]\n", + "Levels : 0.000286438 [ 0.09 %]\n", + "Report : 6.42e-07 [ 0.00 %]\n", + "Balance : 3.66e-07 [ 0.00 %]\n", + "Adjust : 0.206833 [ 64.31 %]\n", + "Total : 0.321631 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5954 736 270 101 34 26 21 \n", + "1 : 5963 729 262 105 41 21 21 \n", + "2 : 6023 708 258 80 32 15 26 \n", + "3 : 5953 760 267 82 30 19 31 \n", + "4 : 6015 699 271 86 30 24 17 \n", + "5 : 6020 706 271 79 24 22 20 \n", + "6 : 6014 699 278 88 24 16 23 \n", + "7 : 6027 682 274 86 32 19 22 \n", + "8 : 6002 732 264 79 31 21 13 \n", + "9 : 6045 669 276 74 34 21 23 \n", + "10 : 6037 688 264 76 41 20 16 \n", + "11 : 6046 667 276 73 32 23 25 \n", + "12 : 6033 696 269 72 29 17 26 \n", + "13 : 5982 696 309 90 35 15 27 \n", + "\n", + "T : 84114 9867 3809 1171 449 279 311 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.2%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.2808e-03 sec\n", + "--- Collate = 8.5211e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.043511e-06 < 1.562500e-03 [134]\n", + "--- Max DT=4.237463e-01 > 1.000000e-01 [67975]\n", + "----------------------------------------------------------------------\n", + " Component | low: 134/100000\n", + " Component | high: 67975/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=89.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00107675 [ 0.35 %]\n", + "Velocity : 0.00323687 [ 1.04 %]\n", + "Force : 0.0698301 [ 22.53 %]\n", + "Coefs : 0.0309545 [ 9.99 %]\n", + "Output : 0.00536405 [ 1.73 %]\n", + "Levels : 0.00977876 [ 3.16 %]\n", + "Report : 1.718e-06 [ 0.00 %]\n", + "Balance : 5.88e-07 [ 0.00 %]\n", + "Adjust : 0.189525 [ 61.15 %]\n", + "Total : 0.309938 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5953 741 268 88 45 24 23 \n", + "1 : 5965 733 257 108 36 20 23 \n", + "2 : 6021 715 248 85 31 18 24 \n", + "3 : 5952 760 270 83 24 23 30 \n", + "4 : 6018 700 270 77 34 27 16 \n", + "5 : 6022 705 277 75 22 24 17 \n", + "6 : 6014 698 273 80 36 22 19 \n", + "7 : 6034 672 283 75 33 23 22 \n", + "8 : 5999 729 273 74 27 25 15 \n", + "9 : 6048 669 274 73 33 22 23 \n", + "10 : 6033 687 270 73 44 20 15 \n", + "11 : 6046 673 271 75 29 25 23 \n", + "12 : 6033 701 263 75 28 24 18 \n", + "13 : 5976 702 301 95 39 16 25 \n", + "\n", + "T : 84114 9885 3798 1136 461 313 293 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 1.0185e-02 sec\n", + "--- Collate = 8.5827e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.055600e-06 < 1.562500e-03 [144]\n", + "--- Max DT=4.237499e-01 > 1.000000e-01 [67972]\n", + "----------------------------------------------------------------------\n", + " Component | low: 144/100000\n", + " Component | high: 67972/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=89.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00112413 [ 0.35 %]\n", + "Velocity : 0.00313198 [ 0.98 %]\n", + "Force : 0.0751749 [ 23.62 %]\n", + "Coefs : 0.0342841 [ 10.77 %]\n", + "Output : 0.00396889 [ 1.25 %]\n", + "Levels : 0.000314257 [ 0.10 %]\n", + "Report : 1.458e-06 [ 0.00 %]\n", + "Balance : 8.26e-07 [ 0.00 %]\n", + "Adjust : 0.200011 [ 62.85 %]\n", + "Total : 0.318222 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5953 742 267 90 33 27 30 \n", + "1 : 5961 731 269 102 39 16 24 \n", + "2 : 6020 716 245 81 35 12 33 \n", + "3 : 5952 768 270 78 26 20 28 \n", + "4 : 6011 712 265 78 36 15 25 \n", + "5 : 6022 701 283 72 30 15 19 \n", + "6 : 6017 702 266 85 30 22 20 \n", + "7 : 6039 672 279 72 38 21 21 \n", + "8 : 6001 732 266 78 22 22 21 \n", + "9 : 6045 675 278 70 36 18 20 \n", + "10 : 6028 690 276 68 47 18 15 \n", + "11 : 6049 671 268 77 26 30 21 \n", + "12 : 6029 712 249 82 29 22 19 \n", + "13 : 5972 701 295 107 35 20 24 \n", + "\n", + "T : 84099 9925 3776 1140 462 278 320 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 1.0269e-02 sec\n", + "--- Collate = 6.7790e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.017648e-05 < 1.562500e-03 [163]\n", + "--- Max DT=4.237492e-01 > 1.000000e-01 [67967]\n", + "----------------------------------------------------------------------\n", + " Component | low: 163/100000\n", + " Component | high: 67967/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=89.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00085561 [ 0.26 %]\n", + "Velocity : 0.00266396 [ 0.82 %]\n", + "Force : 0.0731044 [ 22.52 %]\n", + "Coefs : 0.034379 [ 10.59 %]\n", + "Output : 0.00294776 [ 0.91 %]\n", + "Levels : 0.00019734 [ 0.06 %]\n", + "Report : 9.72e-07 [ 0.00 %]\n", + "Balance : 5.85e-07 [ 0.00 %]\n", + "Adjust : 0.210234 [ 64.77 %]\n", + "Total : 0.324579 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5961 727 276 80 42 22 34 \n", + "1 : 5961 730 272 100 35 21 23 \n", + "2 : 6021 717 240 85 29 26 24 \n", + "3 : 5957 768 268 79 30 17 23 \n", + "4 : 6010 718 264 72 35 17 26 \n", + "5 : 6027 689 289 65 42 11 19 \n", + "6 : 6018 706 265 79 27 26 21 \n", + "7 : 6042 663 283 85 28 20 21 \n", + "8 : 5990 746 271 65 26 17 27 \n", + "9 : 6041 677 276 72 37 21 18 \n", + "10 : 6028 685 282 77 32 20 18 \n", + "11 : 6045 675 268 79 29 24 22 \n", + "12 : 6029 716 246 83 24 24 20 \n", + "13 : 5963 714 298 98 30 30 21 \n", + "\n", + "T : 84093 9931 3798 1119 446 296 317 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.9203e-03 sec\n", + "--- Collate = 8.2128e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.399760e-06 < 1.562500e-03 [143]\n", + "--- Max DT=4.237444e-01 > 1.000000e-01 [67961]\n", + "----------------------------------------------------------------------\n", + " Component | low: 143/100000\n", + " Component | high: 67961/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=89.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000745525 [ 0.24 %]\n", + "Velocity : 0.00235821 [ 0.76 %]\n", + "Force : 0.0708477 [ 22.94 %]\n", + "Coefs : 0.0330645 [ 10.71 %]\n", + "Output : 0.00376772 [ 1.22 %]\n", + "Levels : 0.000274685 [ 0.09 %]\n", + "Report : 1.316e-06 [ 0.00 %]\n", + "Balance : 7.4e-07 [ 0.00 %]\n", + "Adjust : 0.197624 [ 63.98 %]\n", + "Total : 0.308863 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5954 732 275 85 35 23 38 \n", + "1 : 5963 736 259 106 36 21 21 \n", + "2 : 6023 705 248 89 36 20 21 \n", + "3 : 5958 764 271 82 34 19 14 \n", + "4 : 6009 712 275 68 35 17 26 \n", + "5 : 6023 690 284 74 36 18 17 \n", + "6 : 6013 711 262 80 32 14 30 \n", + "7 : 6041 668 283 75 32 21 22 \n", + "8 : 5985 752 272 60 28 19 26 \n", + "9 : 6038 681 279 71 33 17 23 \n", + "10 : 6025 689 283 77 25 22 21 \n", + "11 : 6049 675 259 89 26 22 22 \n", + "12 : 6030 715 249 76 27 27 18 \n", + "13 : 5963 714 293 97 41 22 24 \n", + "\n", + "T : 84074 9944 3792 1129 456 282 323 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 1.0349e-02 sec\n", + "--- Collate = 6.7969e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.313860e-06 < 1.562500e-03 [144]\n", + "--- Max DT=4.237353e-01 > 1.000000e-01 [67938]\n", + "----------------------------------------------------------------------\n", + " Component | low: 144/100000\n", + " Component | high: 67938/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=90] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000724668 [ 0.19 %]\n", + "Velocity : 0.00259136 [ 0.69 %]\n", + "Force : 0.0718497 [ 19.05 %]\n", + "Coefs : 0.034733 [ 9.21 %]\n", + "Output : 0.0560531 [ 14.86 %]\n", + "Levels : 0.00019842 [ 0.05 %]\n", + "Report : 2.268e-06 [ 0.00 %]\n", + "Balance : 1.417e-06 [ 0.00 %]\n", + "Adjust : 0.210847 [ 55.90 %]\n", + "Total : 0.377208 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5950 737 282 79 36 23 35 \n", + "1 : 5967 731 263 103 36 22 20 \n", + "2 : 6021 704 256 87 36 16 22 \n", + "3 : 5958 761 274 90 27 19 13 \n", + "4 : 6013 710 268 73 34 24 20 \n", + "5 : 6019 688 286 82 29 23 15 \n", + "6 : 6002 718 268 80 33 17 24 \n", + "7 : 6051 664 273 75 31 22 26 \n", + "8 : 5978 753 274 64 30 22 21 \n", + "9 : 6035 695 263 72 36 21 20 \n", + "10 : 6021 693 280 85 24 14 25 \n", + "11 : 6047 672 263 74 46 15 25 \n", + "12 : 6028 712 253 75 29 21 24 \n", + "13 : 5965 713 292 89 42 29 24 \n", + "\n", + "T : 84055 9951 3795 1128 469 288 314 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 8.5559e-03 sec\n", + "--- Collate = 7.8051e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.822884e-06 < 1.562500e-03 [149]\n", + "--- Max DT=4.237221e-01 > 1.000000e-01 [67947]\n", + "----------------------------------------------------------------------\n", + " Component | low: 149/100000\n", + " Component | high: 67947/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=90.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00104518 [ 0.34 %]\n", + "Velocity : 0.00351093 [ 1.15 %]\n", + "Force : 0.0685374 [ 22.35 %]\n", + "Coefs : 0.0303629 [ 9.90 %]\n", + "Output : 0.00536021 [ 1.75 %]\n", + "Levels : 0.0002987 [ 0.10 %]\n", + "Report : 6.63e-07 [ 0.00 %]\n", + "Balance : 3.7e-07 [ 0.00 %]\n", + "Adjust : 0.197266 [ 64.34 %]\n", + "Total : 0.306598 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5955 732 282 85 35 22 31 \n", + "1 : 5965 733 261 106 36 17 24 \n", + "2 : 6020 704 261 81 33 26 17 \n", + "3 : 5954 760 281 88 29 18 12 \n", + "4 : 6008 714 270 71 34 22 23 \n", + "5 : 6018 686 289 84 29 14 22 \n", + "6 : 6007 712 265 79 38 23 18 \n", + "7 : 6052 666 272 71 30 18 33 \n", + "8 : 5978 752 273 60 41 19 19 \n", + "9 : 6037 690 267 74 28 21 25 \n", + "10 : 6022 695 278 79 28 18 22 \n", + "11 : 6045 674 260 76 36 29 22 \n", + "12 : 6023 710 262 73 34 19 21 \n", + "13 : 5964 711 299 88 40 22 30 \n", + "\n", + "T : 84048 9939 3820 1115 471 288 319 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.9474e-03 sec\n", + "--- Collate = 7.1775e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.854075e-06 < 1.562500e-03 [145]\n", + "--- Max DT=4.237048e-01 > 1.000000e-01 [67948]\n", + "----------------------------------------------------------------------\n", + " Component | low: 145/100000\n", + " Component | high: 67948/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=90.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00107623 [ 0.38 %]\n", + "Velocity : 0.00301672 [ 1.06 %]\n", + "Force : 0.0679612 [ 23.98 %]\n", + "Coefs : 0.0297552 [ 10.50 %]\n", + "Output : 0.00443239 [ 1.56 %]\n", + "Levels : 0.000242574 [ 0.09 %]\n", + "Report : 7.07e-07 [ 0.00 %]\n", + "Balance : 4.02e-07 [ 0.00 %]\n", + "Adjust : 0.176705 [ 62.36 %]\n", + "Total : 0.283354 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5955 732 283 88 32 28 24 \n", + "1 : 5969 730 260 102 40 21 20 \n", + "2 : 6025 698 260 79 36 25 19 \n", + "3 : 5957 757 280 84 31 14 19 \n", + "4 : 6006 717 266 76 32 23 22 \n", + "5 : 6018 689 288 83 25 18 21 \n", + "6 : 6015 701 264 86 35 23 18 \n", + "7 : 6066 654 269 81 21 19 32 \n", + "8 : 5983 745 273 66 37 26 12 \n", + "9 : 6036 696 264 71 30 15 30 \n", + "10 : 6026 695 272 82 30 13 24 \n", + "11 : 6047 666 267 73 39 25 25 \n", + "12 : 6018 724 249 73 31 26 21 \n", + "13 : 5958 717 298 86 37 30 28 \n", + "\n", + "T : 84079 9921 3793 1130 456 306 315 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 8.5094e-03 sec\n", + "--- Collate = 5.9083e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.095232e-05 < 1.562500e-03 [147]\n", + "--- Max DT=4.236835e-01 > 1.000000e-01 [67950]\n", + "----------------------------------------------------------------------\n", + " Component | low: 147/100000\n", + " Component | high: 67950/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=90.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000890612 [ 0.28 %]\n", + "Velocity : 0.00316657 [ 0.98 %]\n", + "Force : 0.0713809 [ 22.15 %]\n", + "Coefs : 0.0315545 [ 9.79 %]\n", + "Output : 0.00575623 [ 1.79 %]\n", + "Levels : 0.000242017 [ 0.08 %]\n", + "Report : 6.38e-07 [ 0.00 %]\n", + "Balance : 3.42e-07 [ 0.00 %]\n", + "Adjust : 0.209136 [ 64.88 %]\n", + "Total : 0.322319 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5956 729 279 92 35 26 25 \n", + "1 : 5966 732 274 93 34 18 25 \n", + "2 : 6016 701 266 78 35 21 25 \n", + "3 : 5957 751 283 83 26 25 17 \n", + "4 : 6003 723 263 81 27 16 29 \n", + "5 : 6020 693 275 94 18 23 19 \n", + "6 : 6012 702 270 83 38 19 18 \n", + "7 : 6066 655 264 82 31 19 25 \n", + "8 : 5981 750 261 79 37 17 17 \n", + "9 : 6042 693 256 73 26 26 26 \n", + "10 : 6026 691 278 77 37 15 18 \n", + "11 : 6048 661 268 80 32 30 23 \n", + "12 : 6019 726 245 74 24 30 24 \n", + "13 : 5955 717 302 84 34 32 30 \n", + "\n", + "T : 84067 9924 3784 1153 434 317 321 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 1.0330e-02 sec\n", + "--- Collate = 8.3035e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.499828e-06 < 1.562500e-03 [151]\n", + "--- Max DT=4.236583e-01 > 1.000000e-01 [67987]\n", + "----------------------------------------------------------------------\n", + " Component | low: 151/100000\n", + " Component | high: 67987/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=90.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00107041 [ 0.36 %]\n", + "Velocity : 0.00371788 [ 1.25 %]\n", + "Force : 0.0660319 [ 22.26 %]\n", + "Coefs : 0.0288209 [ 9.71 %]\n", + "Output : 0.00496762 [ 1.67 %]\n", + "Levels : 0.000315767 [ 0.11 %]\n", + "Report : 7.87e-07 [ 0.00 %]\n", + "Balance : 3.7e-07 [ 0.00 %]\n", + "Adjust : 0.191595 [ 64.58 %]\n", + "Total : 0.296697 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5949 739 278 93 33 29 21 \n", + "1 : 5967 726 275 93 36 19 26 \n", + "2 : 6011 704 264 80 34 21 28 \n", + "3 : 5955 753 288 72 29 20 25 \n", + "4 : 6006 722 258 85 24 17 30 \n", + "5 : 6021 696 272 93 22 23 15 \n", + "6 : 6009 708 262 79 39 24 21 \n", + "7 : 6059 663 262 87 28 24 19 \n", + "8 : 5971 757 258 90 29 23 14 \n", + "9 : 6037 686 267 73 29 21 29 \n", + "10 : 6025 693 273 83 36 16 16 \n", + "11 : 6047 662 269 80 31 23 30 \n", + "12 : 6020 726 245 72 26 27 26 \n", + "13 : 5949 725 294 88 38 30 30 \n", + "\n", + "T : 84026 9960 3765 1168 434 317 330 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.7980e-03 sec\n", + "--- Collate = 5.9994e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.674094e-06 < 1.562500e-03 [161]\n", + "--- Max DT=4.236293e-01 > 1.000000e-01 [67975]\n", + "----------------------------------------------------------------------\n", + " Component | low: 161/100000\n", + " Component | high: 67975/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=90.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00114659 [ 0.35 %]\n", + "Velocity : 0.00350766 [ 1.07 %]\n", + "Force : 0.0738613 [ 22.54 %]\n", + "Coefs : 0.0327514 [ 9.99 %]\n", + "Output : 0.00569596 [ 1.74 %]\n", + "Levels : 0.000257798 [ 0.08 %]\n", + "Report : 6.92e-07 [ 0.00 %]\n", + "Balance : 4.11e-07 [ 0.00 %]\n", + "Adjust : 0.210268 [ 64.17 %]\n", + "Total : 0.327683 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5946 738 286 93 31 22 26 \n", + "1 : 5968 730 272 90 36 21 25 \n", + "2 : 6022 702 261 75 30 24 28 \n", + "3 : 5958 750 281 72 30 21 30 \n", + "4 : 6009 723 264 77 19 27 23 \n", + "5 : 6018 705 262 97 23 23 14 \n", + "6 : 6013 695 270 76 38 32 18 \n", + "7 : 6054 673 257 84 37 19 18 \n", + "8 : 5971 749 262 94 32 13 21 \n", + "9 : 6035 682 277 68 28 33 19 \n", + "10 : 6018 701 279 82 34 12 16 \n", + "11 : 6045 653 285 73 35 23 28 \n", + "12 : 6014 732 240 72 32 18 34 \n", + "13 : 5949 720 303 92 37 19 34 \n", + "\n", + "T : 84020 9953 3799 1145 442 307 334 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.5%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.6825e-03 sec\n", + "--- Collate = 4.6314e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.155829e-06 < 1.562500e-03 [161]\n", + "--- Max DT=4.235964e-01 > 1.000000e-01 [67980]\n", + "----------------------------------------------------------------------\n", + " Component | low: 161/100000\n", + " Component | high: 67980/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=90.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00113618 [ 0.38 %]\n", + "Velocity : 0.0030658 [ 1.02 %]\n", + "Force : 0.0692992 [ 23.01 %]\n", + "Coefs : 0.0327251 [ 10.87 %]\n", + "Output : 0.00513338 [ 1.70 %]\n", + "Levels : 0.000271344 [ 0.09 %]\n", + "Report : 6.65e-07 [ 0.00 %]\n", + "Balance : 3.39e-07 [ 0.00 %]\n", + "Adjust : 0.189323 [ 62.87 %]\n", + "Total : 0.301135 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5949 740 276 99 29 24 25 \n", + "1 : 5964 732 278 87 35 21 25 \n", + "2 : 6022 699 258 76 34 22 31 \n", + "3 : 5953 760 275 73 29 20 32 \n", + "4 : 6005 720 273 76 25 20 23 \n", + "5 : 6014 709 265 97 29 12 16 \n", + "6 : 6017 700 259 77 34 30 25 \n", + "7 : 6048 668 269 80 43 15 19 \n", + "8 : 5970 750 260 90 35 18 19 \n", + "9 : 6034 686 265 76 37 17 27 \n", + "10 : 6006 723 262 93 23 20 15 \n", + "11 : 6045 653 276 85 34 24 25 \n", + "12 : 6005 743 238 72 32 23 29 \n", + "13 : 5948 720 308 90 38 19 31 \n", + "\n", + "T : 83980 10003 3762 1171 457 285 342 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 1.0150e-02 sec\n", + "--- Collate = 5.0235e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.337325e-05 < 1.562500e-03 [145]\n", + "--- Max DT=4.235597e-01 > 1.000000e-01 [67989]\n", + "----------------------------------------------------------------------\n", + " Component | low: 145/100000\n", + " Component | high: 67989/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=90.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00112037 [ 0.37 %]\n", + "Velocity : 0.00354921 [ 1.16 %]\n", + "Force : 0.0684358 [ 22.30 %]\n", + "Coefs : 0.0305888 [ 9.97 %]\n", + "Output : 0.00467456 [ 1.52 %]\n", + "Levels : 0.000269124 [ 0.09 %]\n", + "Report : 6.76e-07 [ 0.00 %]\n", + "Balance : 3.9e-07 [ 0.00 %]\n", + "Adjust : 0.198057 [ 64.54 %]\n", + "Total : 0.30687 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5946 739 287 90 32 21 27 \n", + "1 : 5960 734 287 79 37 26 19 \n", + "2 : 6013 704 267 71 31 30 26 \n", + "3 : 5953 754 270 80 33 22 30 \n", + "4 : 6001 721 283 65 34 16 22 \n", + "5 : 6009 711 271 88 31 18 14 \n", + "6 : 6015 699 266 67 33 27 35 \n", + "7 : 6046 668 270 77 44 16 21 \n", + "8 : 5958 760 259 80 43 22 20 \n", + "9 : 6039 683 261 88 32 20 19 \n", + "10 : 6005 723 267 79 35 11 22 \n", + "11 : 6044 659 272 89 31 24 23 \n", + "12 : 6013 730 238 78 30 26 27 \n", + "13 : 5951 725 300 82 42 30 24 \n", + "\n", + "T : 83953 10010 3798 1113 488 309 329 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.4306e-03 sec\n", + "--- Collate = 5.6362e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.060446e-06 < 1.562500e-03 [156]\n", + "--- Max DT=4.235193e-01 > 1.000000e-01 [67986]\n", + "----------------------------------------------------------------------\n", + " Component | low: 156/100000\n", + " Component | high: 67986/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=90.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00134179 [ 0.42 %]\n", + "Velocity : 0.00354913 [ 1.12 %]\n", + "Force : 0.0708158 [ 22.39 %]\n", + "Coefs : 0.0315263 [ 9.97 %]\n", + "Output : 0.00564005 [ 1.78 %]\n", + "Levels : 0.000272275 [ 0.09 %]\n", + "Report : 6.95e-07 [ 0.00 %]\n", + "Balance : 3.3e-07 [ 0.00 %]\n", + "Adjust : 0.202934 [ 64.17 %]\n", + "Total : 0.316264 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5939 745 288 90 27 19 34 \n", + "1 : 5956 737 289 81 41 18 20 \n", + "2 : 6015 699 269 66 44 22 27 \n", + "3 : 5948 765 257 87 39 23 23 \n", + "4 : 5999 731 279 71 21 16 25 \n", + "5 : 6007 706 279 86 27 19 18 \n", + "6 : 6014 692 272 70 33 22 39 \n", + "7 : 6046 674 265 78 34 25 20 \n", + "8 : 5961 760 253 82 37 26 23 \n", + "9 : 6039 681 258 95 34 16 19 \n", + "10 : 6008 720 272 74 32 14 22 \n", + "11 : 6047 660 269 85 37 25 19 \n", + "12 : 6015 727 235 77 41 25 22 \n", + "13 : 5946 741 282 90 48 27 20 \n", + "\n", + "T : 83940 10038 3767 1132 495 297 331 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.1%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 8.5038e-03 sec\n", + "--- Collate = 4.9370e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.441344e-05 < 1.562500e-03 [173]\n", + "--- Max DT=4.234750e-01 > 1.000000e-01 [67981]\n", + "----------------------------------------------------------------------\n", + " Component | low: 173/100000\n", + " Component | high: 67981/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=90.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00107747 [ 0.38 %]\n", + "Velocity : 0.00313372 [ 1.10 %]\n", + "Force : 0.0629884 [ 22.13 %]\n", + "Coefs : 0.0291997 [ 10.26 %]\n", + "Output : 0.00492851 [ 1.73 %]\n", + "Levels : 0.000230896 [ 0.08 %]\n", + "Report : 4.38e-07 [ 0.00 %]\n", + "Balance : 3.34e-07 [ 0.00 %]\n", + "Adjust : 0.182911 [ 64.25 %]\n", + "Total : 0.284671 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5942 745 290 82 32 21 30 \n", + "1 : 5954 743 284 79 42 19 21 \n", + "2 : 6006 718 252 81 34 25 26 \n", + "3 : 5945 777 248 90 38 23 21 \n", + "4 : 5999 723 278 76 26 16 24 \n", + "5 : 6001 720 268 84 27 18 24 \n", + "6 : 6011 690 271 78 34 20 38 \n", + "7 : 6036 685 263 82 26 26 24 \n", + "8 : 5966 764 248 75 35 26 28 \n", + "9 : 6032 696 250 98 25 22 19 \n", + "10 : 6005 735 258 78 29 15 22 \n", + "11 : 6049 652 270 83 49 22 17 \n", + "12 : 6020 720 238 81 39 23 21 \n", + "13 : 5949 740 282 94 41 21 27 \n", + "\n", + "T : 83915 10108 3700 1161 477 297 342 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.0504e-03 sec\n", + "--- Collate = 5.9713e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.901336e-06 < 1.562500e-03 [149]\n", + "--- Max DT=4.234268e-01 > 1.000000e-01 [68004]\n", + "----------------------------------------------------------------------\n", + " Component | low: 149/100000\n", + " Component | high: 68004/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=91] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000898393 [ 0.26 %]\n", + "Velocity : 0.00304335 [ 0.88 %]\n", + "Force : 0.0704007 [ 20.28 %]\n", + "Coefs : 0.0321763 [ 9.27 %]\n", + "Output : 0.0376099 [ 10.84 %]\n", + "Levels : 0.000266713 [ 0.08 %]\n", + "Report : 1.531e-06 [ 0.00 %]\n", + "Balance : 7.31e-07 [ 0.00 %]\n", + "Adjust : 0.202499 [ 58.34 %]\n", + "Total : 0.347082 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5940 750 287 75 40 19 31 \n", + "1 : 5961 731 286 80 41 26 17 \n", + "2 : 6011 714 249 86 30 26 26 \n", + "3 : 5951 768 254 93 37 22 17 \n", + "4 : 5992 717 284 81 25 23 20 \n", + "5 : 6007 722 257 84 29 23 20 \n", + "6 : 6004 708 256 81 38 24 31 \n", + "7 : 6033 686 267 76 34 20 26 \n", + "8 : 5962 770 243 72 38 23 34 \n", + "9 : 6026 695 259 87 28 24 23 \n", + "10 : 6009 730 262 76 27 24 14 \n", + "11 : 6056 645 261 98 42 23 17 \n", + "12 : 6019 726 231 84 39 22 21 \n", + "13 : 5944 749 277 94 41 23 26 \n", + "\n", + "T : 83915 10111 3673 1167 489 322 323 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 1.0858e-02 sec\n", + "--- Collate = 7.1084e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.227789e-05 < 1.562500e-03 [143]\n", + "--- Max DT=4.233745e-01 > 1.000000e-01 [68028]\n", + "----------------------------------------------------------------------\n", + " Component | low: 143/100000\n", + " Component | high: 68028/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=91.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000570755 [ 0.19 %]\n", + "Velocity : 0.00219177 [ 0.72 %]\n", + "Force : 0.0727553 [ 24.00 %]\n", + "Coefs : 0.0332906 [ 10.98 %]\n", + "Output : 0.00347124 [ 1.15 %]\n", + "Levels : 0.000327891 [ 0.11 %]\n", + "Report : 2.09e-06 [ 0.00 %]\n", + "Balance : 8.38e-07 [ 0.00 %]\n", + "Adjust : 0.190302 [ 62.79 %]\n", + "Total : 0.3031 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5944 743 283 81 39 31 21 \n", + "1 : 5966 735 280 78 42 20 21 \n", + "2 : 6005 724 246 82 35 22 28 \n", + "3 : 5960 756 251 100 36 19 20 \n", + "4 : 5982 720 296 75 29 21 19 \n", + "5 : 6009 716 256 89 25 22 25 \n", + "6 : 6003 705 256 90 40 23 25 \n", + "7 : 6028 683 276 76 30 25 24 \n", + "8 : 5960 771 243 69 44 20 35 \n", + "9 : 6028 691 262 82 36 16 27 \n", + "10 : 6004 734 259 80 29 21 15 \n", + "11 : 6051 648 266 98 41 20 18 \n", + "12 : 6021 719 235 84 40 27 16 \n", + "13 : 5941 755 267 100 37 26 28 \n", + "\n", + "T : 83902 10100 3676 1184 503 313 322 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.5243e-03 sec\n", + "--- Collate = 6.3845e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.473131e-07 < 1.562500e-03 [161]\n", + "--- Max DT=4.233183e-01 > 1.000000e-01 [68037]\n", + "----------------------------------------------------------------------\n", + " Component | low: 161/100000\n", + " Component | high: 68037/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=91.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000638111 [ 0.20 %]\n", + "Velocity : 0.0022343 [ 0.71 %]\n", + "Force : 0.0720248 [ 23.00 %]\n", + "Coefs : 0.0329934 [ 10.53 %]\n", + "Output : 0.00412004 [ 1.32 %]\n", + "Levels : 0.000229754 [ 0.07 %]\n", + "Report : 9.11e-07 [ 0.00 %]\n", + "Balance : 4.96e-07 [ 0.00 %]\n", + "Adjust : 0.200737 [ 64.10 %]\n", + "Total : 0.313179 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5946 748 276 82 40 27 23 \n", + "1 : 5965 736 281 85 26 28 21 \n", + "2 : 6000 728 246 85 35 20 28 \n", + "3 : 5958 759 250 104 30 21 20 \n", + "4 : 5978 721 296 76 30 22 19 \n", + "5 : 5998 724 251 90 33 23 23 \n", + "6 : 6006 703 254 99 32 28 20 \n", + "7 : 6020 692 278 78 26 27 21 \n", + "8 : 5956 770 243 80 44 24 25 \n", + "9 : 6024 682 277 84 30 18 27 \n", + "10 : 5999 736 268 74 34 15 16 \n", + "11 : 6042 656 262 98 41 23 20 \n", + "12 : 6012 730 226 94 38 23 19 \n", + "13 : 5937 755 266 98 39 31 28 \n", + "\n", + "T : 83841 10140 3674 1227 478 330 310 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.1%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 1.0513e-02 sec\n", + "--- Collate = 8.8864e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.441637e-06 < 1.562500e-03 [159]\n", + "--- Max DT=4.232585e-01 > 1.000000e-01 [68041]\n", + "----------------------------------------------------------------------\n", + " Component | low: 159/100000\n", + " Component | high: 68041/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=91.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000631928 [ 0.19 %]\n", + "Velocity : 0.00330348 [ 1.01 %]\n", + "Force : 0.07538 [ 22.98 %]\n", + "Coefs : 0.0338373 [ 10.32 %]\n", + "Output : 0.00303872 [ 0.93 %]\n", + "Levels : 0.000247858 [ 0.08 %]\n", + "Report : 1.262e-06 [ 0.00 %]\n", + "Balance : 7.13e-07 [ 0.00 %]\n", + "Adjust : 0.211326 [ 64.44 %]\n", + "Total : 0.327957 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5948 753 266 79 49 19 28 \n", + "1 : 5966 730 285 84 29 20 28 \n", + "2 : 5997 723 252 88 32 19 31 \n", + "3 : 5958 760 252 105 27 15 25 \n", + "4 : 5974 726 287 84 32 17 22 \n", + "5 : 6004 720 243 95 35 23 22 \n", + "6 : 6001 703 258 102 36 15 27 \n", + "7 : 6017 691 284 70 37 18 25 \n", + "8 : 5961 763 248 76 44 29 21 \n", + "9 : 6019 682 278 82 34 22 25 \n", + "10 : 5992 739 268 84 28 13 18 \n", + "11 : 6045 646 270 91 45 19 26 \n", + "12 : 6023 720 229 100 28 24 18 \n", + "13 : 5944 744 271 93 48 22 32 \n", + "\n", + "T : 83849 10100 3691 1233 504 275 348 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 8.9428e-03 sec\n", + "--- Collate = 5.6287e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.164598e-05 < 1.562500e-03 [158]\n", + "--- Max DT=4.231951e-01 > 1.000000e-01 [68051]\n", + "----------------------------------------------------------------------\n", + " Component | low: 158/100000\n", + " Component | high: 68051/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=91.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000513775 [ 0.18 %]\n", + "Velocity : 0.00267725 [ 0.94 %]\n", + "Force : 0.0663142 [ 23.32 %]\n", + "Coefs : 0.031677 [ 11.14 %]\n", + "Output : 0.00359123 [ 1.26 %]\n", + "Levels : 0.000197102 [ 0.07 %]\n", + "Report : 9.9e-07 [ 0.00 %]\n", + "Balance : 4.07e-07 [ 0.00 %]\n", + "Adjust : 0.179144 [ 63.01 %]\n", + "Total : 0.284306 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5941 764 259 83 48 21 26 \n", + "1 : 5964 729 284 94 21 26 24 \n", + "2 : 5989 728 257 82 30 31 25 \n", + "3 : 5958 758 253 104 31 18 20 \n", + "4 : 5980 720 283 85 32 24 18 \n", + "5 : 6008 713 245 93 39 26 18 \n", + "6 : 5994 710 262 93 38 22 23 \n", + "7 : 6025 677 289 72 35 21 23 \n", + "8 : 5963 752 259 76 43 26 23 \n", + "9 : 6011 689 274 86 33 24 25 \n", + "10 : 5998 725 271 88 25 20 15 \n", + "11 : 6037 652 271 97 33 25 27 \n", + "12 : 6014 724 236 96 36 15 21 \n", + "13 : 5941 754 267 89 51 27 25 \n", + "\n", + "T : 83823 10095 3710 1238 495 326 313 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.1%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.9398e-03 sec\n", + "--- Collate = 6.0555e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.182691e-06 < 1.562500e-03 [153]\n", + "--- Max DT=4.231282e-01 > 1.000000e-01 [68050]\n", + "----------------------------------------------------------------------\n", + " Component | low: 153/100000\n", + " Component | high: 68050/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=91.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000500195 [ 0.18 %]\n", + "Velocity : 0.00187 [ 0.68 %]\n", + "Force : 0.0620157 [ 22.39 %]\n", + "Coefs : 0.0309169 [ 11.16 %]\n", + "Output : 0.00265693 [ 0.96 %]\n", + "Levels : 0.000214922 [ 0.08 %]\n", + "Report : 9.73e-07 [ 0.00 %]\n", + "Balance : 5.98e-07 [ 0.00 %]\n", + "Adjust : 0.178613 [ 64.49 %]\n", + "Total : 0.276951 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5943 765 258 82 42 23 29 \n", + "1 : 5962 730 286 94 26 21 23 \n", + "2 : 5985 731 264 74 36 29 23 \n", + "3 : 5954 756 266 91 33 22 20 \n", + "4 : 5983 710 294 84 24 21 26 \n", + "5 : 6005 712 245 89 50 21 20 \n", + "6 : 5992 711 262 97 30 24 26 \n", + "7 : 6026 675 285 68 39 24 25 \n", + "8 : 5968 745 255 87 40 25 22 \n", + "9 : 6013 695 269 84 32 22 27 \n", + "10 : 5999 731 261 85 30 20 16 \n", + "11 : 6033 659 270 93 34 22 31 \n", + "12 : 6012 723 229 102 37 20 19 \n", + "13 : 5941 759 259 90 46 35 24 \n", + "\n", + "T : 83816 10102 3703 1220 499 329 331 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 8.5644e-03 sec\n", + "--- Collate = 8.2028e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.011999e-06 < 1.562500e-03 [152]\n", + "--- Max DT=4.230578e-01 > 1.000000e-01 [68062]\n", + "----------------------------------------------------------------------\n", + " Component | low: 152/100000\n", + " Component | high: 68062/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=91.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000552264 [ 0.20 %]\n", + "Velocity : 0.00190425 [ 0.69 %]\n", + "Force : 0.0633123 [ 22.85 %]\n", + "Coefs : 0.0297812 [ 10.75 %]\n", + "Output : 0.0026514 [ 0.96 %]\n", + "Levels : 0.000176358 [ 0.06 %]\n", + "Report : 9.79e-07 [ 0.00 %]\n", + "Balance : 4.17e-07 [ 0.00 %]\n", + "Adjust : 0.178525 [ 64.44 %]\n", + "Total : 0.277057 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5950 755 257 95 33 29 23 \n", + "1 : 5963 733 282 93 33 16 22 \n", + "2 : 5985 731 267 77 30 28 24 \n", + "3 : 5949 755 279 85 33 20 21 \n", + "4 : 5979 716 297 75 28 22 25 \n", + "5 : 5999 715 251 88 37 32 20 \n", + "6 : 5991 714 259 94 37 22 25 \n", + "7 : 6024 682 275 72 36 31 22 \n", + "8 : 5965 742 262 88 35 28 22 \n", + "9 : 6018 697 258 84 33 20 32 \n", + "10 : 6003 731 258 82 36 14 18 \n", + "11 : 6031 661 269 84 43 26 28 \n", + "12 : 6007 738 224 100 33 18 22 \n", + "13 : 5944 752 259 101 49 26 23 \n", + "\n", + "T : 83808 10122 3697 1218 496 332 327 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.9339e-03 sec\n", + "--- Collate = 5.3679e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.220633e-06 < 1.562500e-03 [155]\n", + "--- Max DT=4.229839e-01 > 1.000000e-01 [68039]\n", + "----------------------------------------------------------------------\n", + " Component | low: 155/100000\n", + " Component | high: 68039/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=91.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000481259 [ 0.17 %]\n", + "Velocity : 0.00185664 [ 0.67 %]\n", + "Force : 0.0643044 [ 23.04 %]\n", + "Coefs : 0.03131 [ 11.22 %]\n", + "Output : 0.00290396 [ 1.04 %]\n", + "Levels : 0.00019632 [ 0.07 %]\n", + "Report : 8.6e-07 [ 0.00 %]\n", + "Balance : 4.15e-07 [ 0.00 %]\n", + "Adjust : 0.177865 [ 63.73 %]\n", + "Total : 0.279076 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5952 751 268 82 38 29 22 \n", + "1 : 5963 739 277 96 31 21 15 \n", + "2 : 5988 727 268 76 32 27 24 \n", + "3 : 5952 754 279 84 30 21 22 \n", + "4 : 5978 718 289 74 43 16 24 \n", + "5 : 5994 720 251 89 37 24 27 \n", + "6 : 5987 718 258 94 39 17 29 \n", + "7 : 6025 681 268 81 37 21 29 \n", + "8 : 5967 738 258 89 37 31 22 \n", + "9 : 6022 682 263 91 28 28 28 \n", + "10 : 6007 722 254 87 35 18 19 \n", + "11 : 6032 665 263 85 44 26 27 \n", + "12 : 6002 740 232 94 33 21 20 \n", + "13 : 5939 755 262 101 49 21 27 \n", + "\n", + "T : 83808 10110 3690 1223 513 321 335 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.5202e-03 sec\n", + "--- Collate = 6.0811e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.608126e-07 < 1.562500e-03 [157]\n", + "--- Max DT=4.229065e-01 > 1.000000e-01 [68021]\n", + "----------------------------------------------------------------------\n", + " Component | low: 157/100000\n", + " Component | high: 68021/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=91.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000421294 [ 0.16 %]\n", + "Velocity : 0.00202402 [ 0.77 %]\n", + "Force : 0.0608565 [ 23.10 %]\n", + "Coefs : 0.0288001 [ 10.93 %]\n", + "Output : 0.00240519 [ 0.91 %]\n", + "Levels : 0.000192047 [ 0.07 %]\n", + "Report : 1.038e-06 [ 0.00 %]\n", + "Balance : 5.66e-07 [ 0.00 %]\n", + "Adjust : 0.168629 [ 64.00 %]\n", + "Total : 0.263467 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5957 747 272 77 38 30 21 \n", + "1 : 5957 742 276 98 27 27 15 \n", + "2 : 5983 726 274 72 37 24 26 \n", + "3 : 5951 757 274 86 28 23 23 \n", + "4 : 5975 722 291 78 25 26 25 \n", + "5 : 5989 732 244 90 30 23 34 \n", + "6 : 5982 722 265 89 36 22 26 \n", + "7 : 6026 671 273 83 41 23 25 \n", + "8 : 5974 734 260 79 37 30 28 \n", + "9 : 6023 680 263 89 30 29 28 \n", + "10 : 6002 734 247 88 30 22 19 \n", + "11 : 6032 667 264 83 44 25 27 \n", + "12 : 6005 737 226 99 35 20 20 \n", + "13 : 5934 754 274 97 45 24 26 \n", + "\n", + "T : 83790 10125 3703 1208 483 348 343 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 8.5194e-03 sec\n", + "--- Collate = 4.7579e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.202464e-07 < 1.562500e-03 [166]\n", + "--- Max DT=4.228256e-01 > 1.000000e-01 [68027]\n", + "----------------------------------------------------------------------\n", + " Component | low: 166/100000\n", + " Component | high: 68027/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=91.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000407608 [ 0.15 %]\n", + "Velocity : 0.00157808 [ 0.59 %]\n", + "Force : 0.061103 [ 22.93 %]\n", + "Coefs : 0.0298016 [ 11.18 %]\n", + "Output : 0.00226127 [ 0.85 %]\n", + "Levels : 0.000209902 [ 0.08 %]\n", + "Report : 1.377e-06 [ 0.00 %]\n", + "Balance : 4.25e-07 [ 0.00 %]\n", + "Adjust : 0.170948 [ 64.16 %]\n", + "Total : 0.266455 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5958 748 268 74 49 22 23 \n", + "1 : 5956 744 273 96 31 23 19 \n", + "2 : 5984 731 266 81 28 26 26 \n", + "3 : 5953 753 269 87 31 27 22 \n", + "4 : 5983 714 280 81 41 19 24 \n", + "5 : 5988 736 246 78 37 29 28 \n", + "6 : 5984 725 260 83 40 29 21 \n", + "7 : 6026 671 269 82 44 23 27 \n", + "8 : 5977 732 256 84 39 27 27 \n", + "9 : 6027 677 249 101 36 23 29 \n", + "10 : 6009 720 254 92 24 20 23 \n", + "11 : 6025 669 271 80 46 28 23 \n", + "12 : 5996 740 237 95 29 28 17 \n", + "13 : 5936 750 279 91 43 31 24 \n", + "\n", + "T : 83802 10110 3677 1205 518 355 333 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 8.6006e-03 sec\n", + "--- Collate = 6.2212e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.023601e-06 < 1.562500e-03 [151]\n", + "--- Max DT=4.227414e-01 > 1.000000e-01 [68032]\n", + "----------------------------------------------------------------------\n", + " Component | low: 151/100000\n", + " Component | high: 68032/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=92] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000412527 [ 0.13 %]\n", + "Velocity : 0.00213823 [ 0.69 %]\n", + "Force : 0.062893 [ 20.35 %]\n", + "Coefs : 0.0288959 [ 9.35 %]\n", + "Output : 0.0427797 [ 13.84 %]\n", + "Levels : 0.000214317 [ 0.07 %]\n", + "Report : 1.4e-06 [ 0.00 %]\n", + "Balance : 7.72e-07 [ 0.00 %]\n", + "Adjust : 0.171622 [ 55.52 %]\n", + "Total : 0.3091 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5961 748 261 90 35 27 20 \n", + "1 : 5949 751 270 96 27 21 28 \n", + "2 : 5980 733 267 85 29 26 22 \n", + "3 : 5955 748 278 76 32 30 23 \n", + "4 : 5982 710 285 79 39 21 26 \n", + "5 : 5982 741 256 65 40 25 33 \n", + "6 : 5978 729 257 90 37 25 26 \n", + "7 : 6030 666 271 81 44 28 22 \n", + "8 : 5981 727 258 86 32 27 31 \n", + "9 : 6030 682 240 97 40 24 29 \n", + "10 : 6005 722 254 93 30 14 24 \n", + "11 : 6019 672 273 80 46 26 26 \n", + "12 : 5990 741 246 88 34 23 20 \n", + "13 : 5942 741 281 99 35 29 27 \n", + "\n", + "T : 83784 10111 3697 1205 500 346 357 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.1626e-03 sec\n", + "--- Collate = 6.8673e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.024668e-05 < 1.562500e-03 [168]\n", + "--- Max DT=4.226536e-01 > 1.000000e-01 [68018]\n", + "----------------------------------------------------------------------\n", + " Component | low: 168/100000\n", + " Component | high: 68018/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=92.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00073894 [ 0.26 %]\n", + "Velocity : 0.00213113 [ 0.74 %]\n", + "Force : 0.0666641 [ 23.12 %]\n", + "Coefs : 0.030636 [ 10.63 %]\n", + "Output : 0.00249045 [ 0.86 %]\n", + "Levels : 0.000224342 [ 0.08 %]\n", + "Report : 9.08e-07 [ 0.00 %]\n", + "Balance : 4.73e-07 [ 0.00 %]\n", + "Adjust : 0.185285 [ 64.26 %]\n", + "Total : 0.288326 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5959 756 255 91 33 26 22 \n", + "1 : 5948 749 268 100 28 20 29 \n", + "2 : 5982 729 269 88 31 24 19 \n", + "3 : 5948 755 277 70 42 21 29 \n", + "4 : 5985 713 275 86 33 25 25 \n", + "5 : 5985 737 253 67 36 34 30 \n", + "6 : 5974 735 251 88 44 23 27 \n", + "7 : 6032 670 263 84 40 26 27 \n", + "8 : 5991 714 261 86 35 24 31 \n", + "9 : 6031 680 239 93 44 26 29 \n", + "10 : 5999 733 246 94 34 15 21 \n", + "11 : 6016 680 266 82 40 31 27 \n", + "12 : 5998 733 249 79 38 22 23 \n", + "13 : 5941 747 277 100 34 24 31 \n", + "\n", + "T : 83789 10131 3649 1208 512 341 370 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.5547e-03 sec\n", + "--- Collate = 5.6111e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.392420e-06 < 1.562500e-03 [170]\n", + "--- Max DT=4.225623e-01 > 1.000000e-01 [68003]\n", + "----------------------------------------------------------------------\n", + " Component | low: 170/100000\n", + " Component | high: 68003/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=92.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00049341 [ 0.18 %]\n", + "Velocity : 0.00227349 [ 0.83 %]\n", + "Force : 0.0666419 [ 24.23 %]\n", + "Coefs : 0.03067 [ 11.15 %]\n", + "Output : 0.00318549 [ 1.16 %]\n", + "Levels : 0.000225756 [ 0.08 %]\n", + "Report : 9.55e-07 [ 0.00 %]\n", + "Balance : 6.8e-07 [ 0.00 %]\n", + "Adjust : 0.171331 [ 62.30 %]\n", + "Total : 0.274992 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5964 750 254 90 39 20 25 \n", + "1 : 5952 744 275 96 25 22 28 \n", + "2 : 5992 723 259 91 40 15 22 \n", + "3 : 5958 746 266 85 38 25 24 \n", + "4 : 5988 708 285 85 27 25 24 \n", + "5 : 5982 736 254 77 33 29 31 \n", + "6 : 5975 738 252 94 33 24 26 \n", + "7 : 6034 666 265 83 43 27 24 \n", + "8 : 5992 715 260 85 40 23 27 \n", + "9 : 6030 676 240 102 39 28 27 \n", + "10 : 6003 730 242 98 31 26 12 \n", + "11 : 6011 690 263 81 41 22 34 \n", + "12 : 5998 730 254 82 32 24 22 \n", + "13 : 5931 760 282 93 33 27 28 \n", + "\n", + "T : 83810 10112 3651 1242 494 337 354 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.2%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.4746e-03 sec\n", + "--- Collate = 8.8036e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.351428e-06 < 1.562500e-03 [149]\n", + "--- Max DT=4.224675e-01 > 1.000000e-01 [68000]\n", + "----------------------------------------------------------------------\n", + " Component | low: 149/100000\n", + " Component | high: 68000/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=92.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00054896 [ 0.19 %]\n", + "Velocity : 0.00224436 [ 0.77 %]\n", + "Force : 0.0699156 [ 23.86 %]\n", + "Coefs : 0.0334516 [ 11.42 %]\n", + "Output : 0.00374407 [ 1.28 %]\n", + "Levels : 0.000262201 [ 0.09 %]\n", + "Report : 1.084e-06 [ 0.00 %]\n", + "Balance : 7.32e-07 [ 0.00 %]\n", + "Adjust : 0.182677 [ 62.34 %]\n", + "Total : 0.293033 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5961 760 258 84 34 19 26 \n", + "1 : 5953 741 277 95 26 28 22 \n", + "2 : 5994 720 258 89 44 19 18 \n", + "3 : 5959 742 266 89 36 24 26 \n", + "4 : 5985 710 282 81 33 27 24 \n", + "5 : 5983 731 257 83 36 26 26 \n", + "6 : 5975 743 245 93 36 28 22 \n", + "7 : 6034 669 265 77 40 28 29 \n", + "8 : 6001 706 265 82 39 21 28 \n", + "9 : 6022 686 243 92 39 25 35 \n", + "10 : 6006 725 245 89 44 16 17 \n", + "11 : 6013 687 259 82 39 36 26 \n", + "12 : 6006 714 263 78 33 23 25 \n", + "13 : 5932 763 280 94 29 25 31 \n", + "\n", + "T : 83824 10097 3663 1208 508 345 355 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.2%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 1.0507e-02 sec\n", + "--- Collate = 9.5738e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.638191e-06 < 1.562500e-03 [160]\n", + "--- Max DT=4.223692e-01 > 1.000000e-01 [67983]\n", + "----------------------------------------------------------------------\n", + " Component | low: 160/100000\n", + " Component | high: 67983/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=92.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000647832 [ 0.19 %]\n", + "Velocity : 0.00281884 [ 0.83 %]\n", + "Force : 0.0775725 [ 22.81 %]\n", + "Coefs : 0.0363268 [ 10.68 %]\n", + "Output : 0.00367643 [ 1.08 %]\n", + "Levels : 0.000281527 [ 0.08 %]\n", + "Report : 1.361e-06 [ 0.00 %]\n", + "Balance : 9.3e-07 [ 0.00 %]\n", + "Adjust : 0.21847 [ 64.25 %]\n", + "Total : 0.340046 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5965 754 259 87 34 21 22 \n", + "1 : 5956 744 273 88 36 21 24 \n", + "2 : 5995 729 243 99 37 25 14 \n", + "3 : 5957 740 272 95 30 26 22 \n", + "4 : 5988 704 287 77 35 27 24 \n", + "5 : 5981 730 257 85 34 28 27 \n", + "6 : 5978 734 243 102 37 22 26 \n", + "7 : 6034 664 272 73 39 28 32 \n", + "8 : 6004 699 274 82 35 24 24 \n", + "9 : 6022 685 246 89 41 27 32 \n", + "10 : 6005 727 248 93 36 18 15 \n", + "11 : 6004 692 268 83 32 32 31 \n", + "12 : 5999 715 276 75 26 27 24 \n", + "13 : 5935 762 280 84 37 30 26 \n", + "\n", + "T : 83823 10079 3698 1212 489 356 343 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.8123e-03 sec\n", + "--- Collate = 8.8991e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.600353e-06 < 1.562500e-03 [161]\n", + "--- Max DT=4.222673e-01 > 1.000000e-01 [67973]\n", + "----------------------------------------------------------------------\n", + " Component | low: 161/100000\n", + " Component | high: 67973/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=92.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000826163 [ 0.28 %]\n", + "Velocity : 0.00244195 [ 0.82 %]\n", + "Force : 0.0714998 [ 23.90 %]\n", + "Coefs : 0.0332823 [ 11.13 %]\n", + "Output : 0.0027445 [ 0.92 %]\n", + "Levels : 0.000234613 [ 0.08 %]\n", + "Report : 1.139e-06 [ 0.00 %]\n", + "Balance : 7.48e-07 [ 0.00 %]\n", + "Adjust : 0.187909 [ 62.82 %]\n", + "Total : 0.299131 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5966 752 257 85 39 23 20 \n", + "1 : 5948 753 271 88 43 18 21 \n", + "2 : 5988 735 241 101 41 18 18 \n", + "3 : 5948 740 281 88 42 23 20 \n", + "4 : 5983 702 297 80 26 29 25 \n", + "5 : 5976 729 263 77 39 28 30 \n", + "6 : 5985 732 241 101 33 24 26 \n", + "7 : 6030 664 275 70 48 26 29 \n", + "8 : 6006 694 275 89 30 25 23 \n", + "9 : 6017 697 243 93 26 28 38 \n", + "10 : 6006 723 257 78 44 16 18 \n", + "11 : 6003 682 276 81 43 27 30 \n", + "12 : 6001 708 282 65 39 24 23 \n", + "13 : 5936 765 278 77 36 34 28 \n", + "\n", + "T : 83793 10076 3737 1173 529 343 349 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.7640e-03 sec\n", + "--- Collate = 6.4144e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.127255e-06 < 1.562500e-03 [157]\n", + "--- Max DT=4.221621e-01 > 1.000000e-01 [67950]\n", + "----------------------------------------------------------------------\n", + " Component | low: 157/100000\n", + " Component | high: 67950/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=92.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000560817 [ 0.20 %]\n", + "Velocity : 0.00202407 [ 0.72 %]\n", + "Force : 0.0640631 [ 22.69 %]\n", + "Coefs : 0.0305404 [ 10.82 %]\n", + "Output : 0.00272622 [ 0.97 %]\n", + "Levels : 0.000234237 [ 0.08 %]\n", + "Report : 1.016e-06 [ 0.00 %]\n", + "Balance : 4.23e-07 [ 0.00 %]\n", + "Adjust : 0.182032 [ 64.47 %]\n", + "Total : 0.282345 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5974 746 260 78 36 25 23 \n", + "1 : 5951 761 257 87 41 28 17 \n", + "2 : 5983 738 240 109 36 14 22 \n", + "3 : 5953 725 286 90 47 19 22 \n", + "4 : 5981 706 291 82 31 23 28 \n", + "5 : 5974 734 261 80 31 29 33 \n", + "6 : 5983 731 246 99 37 20 26 \n", + "7 : 6030 655 278 75 48 28 28 \n", + "8 : 6006 686 283 98 22 25 22 \n", + "9 : 6017 691 257 82 29 32 34 \n", + "10 : 6011 719 251 84 36 15 26 \n", + "11 : 5992 692 278 86 37 25 32 \n", + "12 : 6006 700 285 70 34 27 20 \n", + "13 : 5940 759 279 83 34 27 32 \n", + "\n", + "T : 83801 10043 3752 1203 499 337 365 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.9145e-03 sec\n", + "--- Collate = 6.7343e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.479447e-06 < 1.562500e-03 [159]\n", + "--- Max DT=4.220536e-01 > 1.000000e-01 [67965]\n", + "----------------------------------------------------------------------\n", + " Component | low: 159/100000\n", + " Component | high: 67965/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=92.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00053959 [ 0.19 %]\n", + "Velocity : 0.00198883 [ 0.69 %]\n", + "Force : 0.0652516 [ 22.77 %]\n", + "Coefs : 0.0303588 [ 10.59 %]\n", + "Output : 0.00334131 [ 1.17 %]\n", + "Levels : 0.000177334 [ 0.06 %]\n", + "Report : 1.044e-06 [ 0.00 %]\n", + "Balance : 3.92e-07 [ 0.00 %]\n", + "Adjust : 0.184706 [ 64.46 %]\n", + "Total : 0.286541 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5972 743 261 83 44 9 30 \n", + "1 : 5950 756 259 95 37 25 20 \n", + "2 : 5984 736 245 106 30 17 24 \n", + "3 : 5953 729 276 101 38 25 20 \n", + "4 : 5985 705 287 85 31 24 25 \n", + "5 : 5975 733 255 81 37 27 34 \n", + "6 : 5986 731 249 89 38 26 23 \n", + "7 : 6031 649 278 85 45 21 33 \n", + "8 : 6004 696 279 98 27 15 23 \n", + "9 : 6021 682 261 79 38 37 24 \n", + "10 : 6008 722 260 70 40 21 21 \n", + "11 : 5988 698 280 86 36 23 31 \n", + "12 : 6012 694 282 78 25 30 21 \n", + "13 : 5938 765 277 86 26 28 34 \n", + "\n", + "T : 83807 10039 3749 1222 492 328 363 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 8.8115e-03 sec\n", + "--- Collate = 5.9760e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.323385e-05 < 1.562500e-03 [160]\n", + "--- Max DT=4.219418e-01 > 1.000000e-01 [67922]\n", + "----------------------------------------------------------------------\n", + " Component | low: 160/100000\n", + " Component | high: 67922/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=92.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000541222 [ 0.19 %]\n", + "Velocity : 0.00197386 [ 0.69 %]\n", + "Force : 0.0652511 [ 22.79 %]\n", + "Coefs : 0.030168 [ 10.53 %]\n", + "Output : 0.00305327 [ 1.07 %]\n", + "Levels : 0.000186763 [ 0.07 %]\n", + "Report : 9.18e-07 [ 0.00 %]\n", + "Balance : 4.31e-07 [ 0.00 %]\n", + "Adjust : 0.185031 [ 64.61 %]\n", + "Total : 0.286375 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5971 742 267 79 38 23 22 \n", + "1 : 5955 745 261 100 36 23 22 \n", + "2 : 5987 739 240 98 36 21 21 \n", + "3 : 5955 725 271 109 36 25 21 \n", + "4 : 5989 702 285 83 37 19 27 \n", + "5 : 5978 735 252 84 40 21 32 \n", + "6 : 5985 732 246 100 32 24 23 \n", + "7 : 6033 645 282 84 42 24 32 \n", + "8 : 6009 689 283 91 34 15 21 \n", + "9 : 6025 672 268 78 43 27 29 \n", + "10 : 6006 725 254 73 35 25 24 \n", + "11 : 5989 702 274 80 45 29 23 \n", + "12 : 6015 688 286 78 29 19 27 \n", + "13 : 5939 761 283 78 35 30 28 \n", + "\n", + "T : 83836 10002 3752 1215 518 325 352 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.9516e-03 sec\n", + "--- Collate = 5.7713e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.380662e-06 < 1.562500e-03 [147]\n", + "--- Max DT=4.245480e-01 > 1.000000e-01 [67898]\n", + "----------------------------------------------------------------------\n", + " Component | low: 147/100000\n", + " Component | high: 67898/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=92.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000571303 [ 0.20 %]\n", + "Velocity : 0.00193959 [ 0.68 %]\n", + "Force : 0.0666385 [ 23.27 %]\n", + "Coefs : 0.0309371 [ 10.80 %]\n", + "Output : 0.00314652 [ 1.10 %]\n", + "Levels : 0.000244076 [ 0.09 %]\n", + "Report : 1.041e-06 [ 0.00 %]\n", + "Balance : 6.6e-07 [ 0.00 %]\n", + "Adjust : 0.182669 [ 63.80 %]\n", + "Total : 0.286328 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5972 744 264 81 37 20 24 \n", + "1 : 5963 727 270 100 38 16 28 \n", + "2 : 5981 749 238 95 42 16 21 \n", + "3 : 5952 730 277 99 33 27 24 \n", + "4 : 5991 698 278 94 35 25 21 \n", + "5 : 5984 725 261 82 35 27 28 \n", + "6 : 5991 726 245 100 38 17 25 \n", + "7 : 6033 646 271 97 34 28 33 \n", + "8 : 6008 689 288 88 28 25 16 \n", + "9 : 6026 677 265 81 40 27 26 \n", + "10 : 6010 717 257 79 30 26 23 \n", + "11 : 5989 702 269 88 43 27 24 \n", + "12 : 6016 688 279 89 26 18 26 \n", + "13 : 5939 764 286 73 27 29 36 \n", + "\n", + "T : 83855 9982 3748 1246 486 328 355 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.3%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.1499e-03 sec\n", + "--- Collate = 6.8668e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.899471e-08 < 1.562500e-03 [165]\n", + "--- Max DT=4.296286e-01 > 1.000000e-01 [67889]\n", + "----------------------------------------------------------------------\n", + " Component | low: 165/100000\n", + " Component | high: 67889/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=93] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000514183 [ 0.15 %]\n", + "Velocity : 0.00180651 [ 0.53 %]\n", + "Force : 0.0650914 [ 19.14 %]\n", + "Coefs : 0.03136 [ 9.22 %]\n", + "Output : 0.0561518 [ 16.51 %]\n", + "Levels : 0.000298051 [ 0.09 %]\n", + "Report : 2.083e-06 [ 0.00 %]\n", + "Balance : 1.163e-06 [ 0.00 %]\n", + "Adjust : 0.184763 [ 54.32 %]\n", + "Total : 0.340169 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5972 739 266 84 31 30 20 \n", + "1 : 5962 724 279 86 41 25 25 \n", + "2 : 5978 750 249 86 39 21 19 \n", + "3 : 5946 735 275 95 41 26 24 \n", + "4 : 5991 696 273 101 37 23 21 \n", + "5 : 5990 718 257 88 37 27 25 \n", + "6 : 5987 738 244 94 37 19 23 \n", + "7 : 6029 652 269 98 31 32 31 \n", + "8 : 6013 681 292 89 24 21 22 \n", + "9 : 6036 664 262 90 37 23 30 \n", + "10 : 6006 720 264 75 27 26 24 \n", + "11 : 5988 697 273 93 39 34 18 \n", + "12 : 6012 689 280 91 26 19 25 \n", + "13 : 5937 761 297 65 30 32 32 \n", + "\n", + "T : 83847 9964 3780 1235 477 358 339 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.4862e-03 sec\n", + "--- Collate = 6.5167e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.121969e-06 < 1.562500e-03 [161]\n", + "--- Max DT=4.347148e-01 > 1.000000e-01 [67887]\n", + "----------------------------------------------------------------------\n", + " Component | low: 161/100000\n", + " Component | high: 67887/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=93.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00114139 [ 0.39 %]\n", + "Velocity : 0.00351933 [ 1.19 %]\n", + "Force : 0.0663463 [ 22.48 %]\n", + "Coefs : 0.0286327 [ 9.70 %]\n", + "Output : 0.00533977 [ 1.81 %]\n", + "Levels : 0.000278867 [ 0.09 %]\n", + "Report : 6.26e-07 [ 0.00 %]\n", + "Balance : 4.07e-07 [ 0.00 %]\n", + "Adjust : 0.189698 [ 64.28 %]\n", + "Total : 0.295129 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5978 735 269 83 31 22 24 \n", + "1 : 5962 725 278 89 37 27 24 \n", + "2 : 5980 743 249 92 35 24 19 \n", + "3 : 5947 738 278 87 40 23 29 \n", + "4 : 5993 694 272 96 45 23 19 \n", + "5 : 5989 719 258 89 39 21 27 \n", + "6 : 5984 738 243 99 35 24 19 \n", + "7 : 6027 653 267 102 30 34 29 \n", + "8 : 6016 678 289 92 21 23 23 \n", + "9 : 6031 667 265 85 40 22 32 \n", + "10 : 6013 703 271 82 28 22 23 \n", + "11 : 5988 698 275 90 42 23 26 \n", + "12 : 6010 696 270 91 36 20 19 \n", + "13 : 5943 753 302 62 39 17 38 \n", + "\n", + "T : 83861 9940 3786 1239 498 325 351 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.7393e-03 sec\n", + "--- Collate = 7.7038e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.380310e-07 < 1.562500e-03 [173]\n", + "--- Max DT=4.398064e-01 > 1.000000e-01 [67884]\n", + "----------------------------------------------------------------------\n", + " Component | low: 173/100000\n", + " Component | high: 67884/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=93.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00107255 [ 0.37 %]\n", + "Velocity : 0.00319537 [ 1.10 %]\n", + "Force : 0.0662488 [ 22.73 %]\n", + "Coefs : 0.028687 [ 9.84 %]\n", + "Output : 0.00536047 [ 1.84 %]\n", + "Levels : 0.000277285 [ 0.10 %]\n", + "Report : 6.29e-07 [ 0.00 %]\n", + "Balance : 3.82e-07 [ 0.00 %]\n", + "Adjust : 0.186384 [ 63.96 %]\n", + "Total : 0.291418 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5984 729 270 76 45 18 20 \n", + "1 : 5956 720 283 96 32 29 26 \n", + "2 : 5984 738 244 96 38 23 19 \n", + "3 : 5942 739 279 94 34 27 27 \n", + "4 : 5985 704 270 100 37 23 23 \n", + "5 : 5987 715 259 92 46 18 25 \n", + "6 : 5981 747 240 98 34 23 19 \n", + "7 : 6022 647 279 94 48 24 28 \n", + "8 : 6022 673 292 85 22 19 29 \n", + "9 : 6035 664 266 88 33 24 32 \n", + "10 : 6009 712 266 80 35 18 22 \n", + "11 : 5989 689 279 99 39 17 30 \n", + "12 : 6009 692 270 88 41 24 18 \n", + "13 : 5942 750 308 67 27 30 30 \n", + "\n", + "T : 83847 9919 3805 1253 511 317 348 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.6054e-03 sec\n", + "--- Collate = 6.8883e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.818671e-05 < 1.562500e-03 [147]\n", + "--- Max DT=4.449043e-01 > 1.000000e-01 [67886]\n", + "----------------------------------------------------------------------\n", + " Component | low: 147/100000\n", + " Component | high: 67886/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=93.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00110813 [ 0.38 %]\n", + "Velocity : 0.0032571 [ 1.12 %]\n", + "Force : 0.0659465 [ 22.65 %]\n", + "Coefs : 0.0285077 [ 9.79 %]\n", + "Output : 0.00544023 [ 1.87 %]\n", + "Levels : 0.000290571 [ 0.10 %]\n", + "Report : 7.81e-07 [ 0.00 %]\n", + "Balance : 4.14e-07 [ 0.00 %]\n", + "Adjust : 0.186482 [ 64.04 %]\n", + "Total : 0.291208 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5982 734 269 86 30 20 21 \n", + "1 : 5960 717 280 96 43 18 28 \n", + "2 : 5982 730 261 86 36 25 22 \n", + "3 : 5953 741 267 96 31 24 30 \n", + "4 : 5986 692 289 88 46 20 21 \n", + "5 : 5988 709 263 100 42 19 21 \n", + "6 : 5988 744 232 98 41 22 17 \n", + "7 : 6023 647 272 102 45 25 28 \n", + "8 : 6024 678 294 73 27 16 30 \n", + "9 : 6037 663 262 91 33 28 28 \n", + "10 : 6016 706 259 86 37 21 17 \n", + "11 : 5985 698 270 100 42 19 28 \n", + "12 : 6011 693 264 87 43 23 21 \n", + "13 : 5942 746 312 74 29 22 29 \n", + "\n", + "T : 83877 9898 3794 1263 525 302 341 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 8.8026e-03 sec\n", + "--- Collate = 6.9435e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.188503e-06 < 1.562500e-03 [154]\n", + "--- Max DT=4.500077e-01 > 1.000000e-01 [67864]\n", + "----------------------------------------------------------------------\n", + " Component | low: 154/100000\n", + " Component | high: 67864/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=93.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00109515 [ 0.38 %]\n", + "Velocity : 0.0028413 [ 0.99 %]\n", + "Force : 0.0641468 [ 22.31 %]\n", + "Coefs : 0.0296296 [ 10.30 %]\n", + "Output : 0.00520139 [ 1.81 %]\n", + "Levels : 0.000254486 [ 0.09 %]\n", + "Report : 7.74e-07 [ 0.00 %]\n", + "Balance : 4.13e-07 [ 0.00 %]\n", + "Adjust : 0.184198 [ 64.06 %]\n", + "Total : 0.287539 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5986 728 266 90 31 24 17 \n", + "1 : 5960 710 278 110 36 21 27 \n", + "2 : 5992 724 257 89 39 19 22 \n", + "3 : 5953 739 267 93 35 24 31 \n", + "4 : 5980 696 289 97 40 18 22 \n", + "5 : 5980 727 251 98 42 25 19 \n", + "6 : 5989 741 234 101 36 25 16 \n", + "7 : 6021 645 279 96 51 26 24 \n", + "8 : 6025 683 285 70 32 24 23 \n", + "9 : 6038 665 255 89 44 23 28 \n", + "10 : 6016 702 266 82 41 16 19 \n", + "11 : 5974 704 278 91 42 26 27 \n", + "12 : 6010 696 261 90 40 19 26 \n", + "13 : 5944 736 320 74 40 17 23 \n", + "\n", + "T : 83868 9896 3786 1270 549 307 324 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.1%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 8.6448e-03 sec\n", + "--- Collate = 6.9457e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.897119e-06 < 1.562500e-03 [148]\n", + "--- Max DT=4.551157e-01 > 1.000000e-01 [67896]\n", + "----------------------------------------------------------------------\n", + " Component | low: 148/100000\n", + " Component | high: 67896/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=93.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0011249 [ 0.39 %]\n", + "Velocity : 0.00324722 [ 1.12 %]\n", + "Force : 0.0649289 [ 22.40 %]\n", + "Coefs : 0.0299314 [ 10.33 %]\n", + "Output : 0.0053173 [ 1.83 %]\n", + "Levels : 0.000277478 [ 0.10 %]\n", + "Report : 6.78e-07 [ 0.00 %]\n", + "Balance : 4.3e-07 [ 0.00 %]\n", + "Adjust : 0.184813 [ 63.77 %]\n", + "Total : 0.289812 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5980 736 263 91 36 13 23 \n", + "1 : 5958 708 284 107 35 25 25 \n", + "2 : 5995 720 253 84 44 19 27 \n", + "3 : 5949 732 272 97 42 15 35 \n", + "4 : 5980 694 287 100 36 27 18 \n", + "5 : 5976 731 251 104 31 28 21 \n", + "6 : 5995 730 244 92 45 14 22 \n", + "7 : 6019 652 272 97 51 27 24 \n", + "8 : 6029 678 285 69 39 17 25 \n", + "9 : 6035 669 256 90 42 24 26 \n", + "10 : 6020 696 262 94 36 19 15 \n", + "11 : 5978 708 268 92 42 22 32 \n", + "12 : 6014 689 263 88 36 26 26 \n", + "13 : 5944 733 318 82 35 23 19 \n", + "\n", + "T : 83872 9876 3778 1287 550 299 338 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.7544e-03 sec\n", + "--- Collate = 7.0291e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.313388e-06 < 1.562500e-03 [149]\n", + "--- Max DT=4.602289e-01 > 1.000000e-01 [67873]\n", + "----------------------------------------------------------------------\n", + " Component | low: 149/100000\n", + " Component | high: 67873/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=93.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00111676 [ 0.39 %]\n", + "Velocity : 0.00323789 [ 1.12 %]\n", + "Force : 0.0674011 [ 23.29 %]\n", + "Coefs : 0.028236 [ 9.76 %]\n", + "Output : 0.00520479 [ 1.80 %]\n", + "Levels : 0.000280469 [ 0.10 %]\n", + "Report : 6.39e-07 [ 0.00 %]\n", + "Balance : 4.21e-07 [ 0.00 %]\n", + "Adjust : 0.183704 [ 63.49 %]\n", + "Total : 0.289362 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5980 731 269 83 40 18 21 \n", + "1 : 5954 707 277 117 42 22 23 \n", + "2 : 5994 718 260 71 50 26 23 \n", + "3 : 5946 740 272 90 43 20 31 \n", + "4 : 5979 702 282 104 31 22 22 \n", + "5 : 5973 734 255 101 31 19 29 \n", + "6 : 6001 724 246 89 44 20 18 \n", + "7 : 6017 645 283 94 48 27 28 \n", + "8 : 6024 680 286 71 45 16 20 \n", + "9 : 6037 663 254 101 40 24 23 \n", + "10 : 6023 696 251 100 36 20 16 \n", + "11 : 5980 705 274 84 46 20 33 \n", + "12 : 6009 701 258 88 34 24 28 \n", + "13 : 5946 731 323 84 28 28 14 \n", + "\n", + "T : 83863 9877 3790 1277 558 306 329 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 1.0598e-02 sec\n", + "--- Collate = 7.0225e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.500781e-06 < 1.562500e-03 [153]\n", + "--- Max DT=4.653468e-01 > 1.000000e-01 [67886]\n", + "----------------------------------------------------------------------\n", + " Component | low: 153/100000\n", + " Component | high: 67886/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=93.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00112247 [ 0.38 %]\n", + "Velocity : 0.00295746 [ 1.01 %]\n", + "Force : 0.064751 [ 22.13 %]\n", + "Coefs : 0.0296189 [ 10.12 %]\n", + "Output : 0.00537444 [ 1.84 %]\n", + "Levels : 0.000326162 [ 0.11 %]\n", + "Report : 8.42e-07 [ 0.00 %]\n", + "Balance : 4.03e-07 [ 0.00 %]\n", + "Adjust : 0.18826 [ 64.34 %]\n", + "Total : 0.292589 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5980 729 271 75 45 21 21 \n", + "1 : 5957 703 277 119 38 26 22 \n", + "2 : 5993 716 263 77 41 24 28 \n", + "3 : 5949 725 285 93 35 35 20 \n", + "4 : 5984 698 284 98 37 13 28 \n", + "5 : 5978 725 264 95 29 19 32 \n", + "6 : 5999 729 245 90 35 30 14 \n", + "7 : 6013 652 275 101 40 28 33 \n", + "8 : 6036 668 290 74 33 22 19 \n", + "9 : 6033 666 262 91 46 24 20 \n", + "10 : 6024 686 262 99 31 24 16 \n", + "11 : 5983 700 271 87 42 25 34 \n", + "12 : 6008 704 259 83 39 22 27 \n", + "13 : 5949 727 318 96 29 21 14 \n", + "\n", + "T : 83886 9828 3826 1278 520 334 328 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.1%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 8.7678e-03 sec\n", + "--- Collate = 6.4291e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.193571e-05 < 1.562500e-03 [146]\n", + "--- Max DT=4.704710e-01 > 1.000000e-01 [67915]\n", + "----------------------------------------------------------------------\n", + " Component | low: 146/100000\n", + " Component | high: 67915/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=93.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0010647 [ 0.36 %]\n", + "Velocity : 0.00342059 [ 1.17 %]\n", + "Force : 0.0661835 [ 22.68 %]\n", + "Coefs : 0.029595 [ 10.14 %]\n", + "Output : 0.00519849 [ 1.78 %]\n", + "Levels : 0.000259478 [ 0.09 %]\n", + "Report : 6.69e-07 [ 0.00 %]\n", + "Balance : 3.97e-07 [ 0.00 %]\n", + "Adjust : 0.185867 [ 63.70 %]\n", + "Total : 0.291768 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5984 722 266 91 29 27 23 \n", + "1 : 5947 716 290 106 35 23 25 \n", + "2 : 5999 699 266 79 40 35 24 \n", + "3 : 5950 728 285 87 39 29 24 \n", + "4 : 5980 705 281 93 40 19 24 \n", + "5 : 5971 731 273 88 25 24 30 \n", + "6 : 5999 724 250 92 37 18 22 \n", + "7 : 6009 656 286 91 42 20 38 \n", + "8 : 6029 674 284 79 37 20 19 \n", + "9 : 6026 672 271 83 42 27 21 \n", + "10 : 6027 682 265 104 21 22 21 \n", + "11 : 5980 707 264 91 38 34 28 \n", + "12 : 6006 708 261 81 41 17 28 \n", + "13 : 5960 710 322 99 23 17 23 \n", + "\n", + "T : 83867 9834 3864 1264 489 332 350 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.4925e-03 sec\n", + "--- Collate = 5.7608e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.170017e-05 < 1.562500e-03 [164]\n", + "--- Max DT=4.756010e-01 > 1.000000e-01 [67907]\n", + "----------------------------------------------------------------------\n", + " Component | low: 164/100000\n", + " Component | high: 67907/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=93.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00115129 [ 0.40 %]\n", + "Velocity : 0.00328284 [ 1.14 %]\n", + "Force : 0.0652729 [ 22.69 %]\n", + "Coefs : 0.0286792 [ 9.97 %]\n", + "Output : 0.0051289 [ 1.78 %]\n", + "Levels : 0.000265703 [ 0.09 %]\n", + "Report : 6.52e-07 [ 0.00 %]\n", + "Balance : 3.5e-07 [ 0.00 %]\n", + "Adjust : 0.183757 [ 63.86 %]\n", + "Total : 0.287733 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5980 729 260 85 38 25 25 \n", + "1 : 5946 711 297 102 38 27 21 \n", + "2 : 5992 705 266 77 43 28 31 \n", + "3 : 5951 723 286 91 42 19 30 \n", + "4 : 5974 708 284 98 35 26 17 \n", + "5 : 5975 734 274 83 26 24 26 \n", + "6 : 6004 721 249 98 34 13 23 \n", + "7 : 6004 659 285 90 41 31 32 \n", + "8 : 6024 680 278 84 34 18 24 \n", + "9 : 6018 678 279 82 38 20 27 \n", + "10 : 6016 693 268 96 27 16 26 \n", + "11 : 5985 704 267 80 47 29 30 \n", + "12 : 6008 705 257 94 30 18 30 \n", + "13 : 5956 708 326 96 29 16 23 \n", + "\n", + "T : 83833 9858 3876 1256 502 310 365 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.3%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.3882e-03 sec\n", + "--- Collate = 7.4540e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.303394e-06 < 1.562500e-03 [174]\n", + "--- Max DT=4.807367e-01 > 1.000000e-01 [67916]\n", + "----------------------------------------------------------------------\n", + " Component | low: 174/100000\n", + " Component | high: 67916/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=94] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00112168 [ 0.34 %]\n", + "Velocity : 0.00315451 [ 0.96 %]\n", + "Force : 0.063255 [ 19.31 %]\n", + "Coefs : 0.0282034 [ 8.61 %]\n", + "Output : 0.0506003 [ 15.45 %]\n", + "Levels : 0.000313756 [ 0.10 %]\n", + "Report : 1.875e-06 [ 0.00 %]\n", + "Balance : 1.349e-06 [ 0.00 %]\n", + "Adjust : 0.180782 [ 55.18 %]\n", + "Total : 0.327608 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5974 733 263 82 39 17 34 \n", + "1 : 5939 714 301 97 38 27 26 \n", + "2 : 5996 701 263 84 39 28 31 \n", + "3 : 5953 720 279 96 41 23 30 \n", + "4 : 5974 706 286 104 33 24 15 \n", + "5 : 5972 730 276 85 32 23 24 \n", + "6 : 6011 704 257 99 33 17 21 \n", + "7 : 6005 659 287 83 47 33 28 \n", + "8 : 6021 676 289 75 33 23 25 \n", + "9 : 6015 676 280 91 31 24 25 \n", + "10 : 6015 698 269 91 27 16 26 \n", + "11 : 5983 709 261 79 48 35 27 \n", + "12 : 6007 704 263 92 27 29 20 \n", + "13 : 5955 708 326 99 26 14 26 \n", + "\n", + "T : 83820 9838 3900 1257 494 333 358 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.9472e-03 sec\n", + "--- Collate = 7.0725e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.846230e-06 < 1.562500e-03 [156]\n", + "--- Max DT=4.858770e-01 > 1.000000e-01 [67895]\n", + "----------------------------------------------------------------------\n", + " Component | low: 156/100000\n", + " Component | high: 67895/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=94.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00106761 [ 0.35 %]\n", + "Velocity : 0.00355906 [ 1.15 %]\n", + "Force : 0.0682824 [ 22.07 %]\n", + "Coefs : 0.030537 [ 9.87 %]\n", + "Output : 0.00546565 [ 1.77 %]\n", + "Levels : 0.000277249 [ 0.09 %]\n", + "Report : 7.2e-07 [ 0.00 %]\n", + "Balance : 4.21e-07 [ 0.00 %]\n", + "Adjust : 0.200051 [ 64.65 %]\n", + "Total : 0.309425 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5975 729 265 86 33 25 29 \n", + "1 : 5938 716 299 99 36 26 28 \n", + "2 : 5995 699 260 84 45 27 32 \n", + "3 : 5951 717 273 102 43 30 26 \n", + "4 : 5970 717 276 107 36 17 19 \n", + "5 : 5978 724 274 76 45 24 21 \n", + "6 : 6000 703 267 106 28 24 14 \n", + "7 : 6001 664 282 90 51 32 22 \n", + "8 : 6011 688 284 78 31 21 29 \n", + "9 : 6012 673 289 85 30 25 28 \n", + "10 : 6016 698 264 97 20 23 24 \n", + "11 : 5983 710 264 81 46 25 33 \n", + "12 : 6009 703 259 95 31 24 21 \n", + "13 : 5958 713 314 96 29 17 27 \n", + "\n", + "T : 83797 9854 3870 1282 504 340 353 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 8.4%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 1.0239e-02 sec\n", + "--- Collate = 7.2759e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.302350e-06 < 1.562500e-03 [157]\n", + "--- Max DT=4.910219e-01 > 1.000000e-01 [67900]\n", + "----------------------------------------------------------------------\n", + " Component | low: 157/100000\n", + " Component | high: 67900/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=94.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.001168 [ 0.33 %]\n", + "Velocity : 0.00361851 [ 1.02 %]\n", + "Force : 0.070379 [ 19.87 %]\n", + "Coefs : 0.0304397 [ 8.60 %]\n", + "Output : 0.00549624 [ 1.55 %]\n", + "Levels : 0.000350571 [ 0.10 %]\n", + "Report : 1.177e-06 [ 0.00 %]\n", + "Balance : 5.66e-07 [ 0.00 %]\n", + "Adjust : 0.242479 [ 68.48 %]\n", + "Total : 0.354113 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5972 732 262 90 31 25 30 \n", + "1 : 5934 715 307 91 38 25 32 \n", + "2 : 5992 702 261 84 54 19 30 \n", + "3 : 5950 711 283 105 37 37 19 \n", + "4 : 5967 717 279 103 37 19 20 \n", + "5 : 5980 721 275 74 50 20 22 \n", + "6 : 5996 702 272 102 38 19 13 \n", + "7 : 5988 684 273 98 50 26 23 \n", + "8 : 6013 687 286 75 31 26 24 \n", + "9 : 6012 672 296 84 26 27 25 \n", + "10 : 6018 690 268 94 29 19 24 \n", + "11 : 5976 712 270 82 40 30 32 \n", + "12 : 6001 711 259 87 44 22 18 \n", + "13 : 5959 713 312 92 35 15 28 \n", + "\n", + "T : 83758 9869 3903 1261 540 329 340 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.3855e-03 sec\n", + "--- Collate = 6.9830e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.541127e-07 < 1.562500e-03 [171]\n", + "--- Max DT=4.961711e-01 > 1.000000e-01 [67888]\n", + "----------------------------------------------------------------------\n", + " Component | low: 171/100000\n", + " Component | high: 67888/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=94.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00180497 [ 0.52 %]\n", + "Velocity : 0.00394961 [ 1.13 %]\n", + "Force : 0.0767053 [ 21.89 %]\n", + "Coefs : 0.0360041 [ 10.27 %]\n", + "Output : 0.00589381 [ 1.68 %]\n", + "Levels : 0.00028374 [ 0.08 %]\n", + "Report : 1.017e-06 [ 0.00 %]\n", + "Balance : 5.12e-07 [ 0.00 %]\n", + "Adjust : 0.225645 [ 64.38 %]\n", + "Total : 0.350475 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5974 724 272 84 38 23 27 \n", + "1 : 5934 721 300 89 43 24 31 \n", + "2 : 5992 703 258 101 40 22 26 \n", + "3 : 5948 705 290 109 39 28 23 \n", + "4 : 5966 716 288 98 36 14 24 \n", + "5 : 5973 725 278 77 42 20 27 \n", + "6 : 6000 698 278 92 42 20 12 \n", + "7 : 5989 684 270 107 47 22 23 \n", + "8 : 6007 697 277 80 30 28 23 \n", + "9 : 6015 664 301 85 33 17 27 \n", + "10 : 6026 680 275 87 37 11 26 \n", + "11 : 5979 707 276 79 39 31 31 \n", + "12 : 6006 713 252 89 30 33 19 \n", + "13 : 5953 723 306 92 41 16 23 \n", + "\n", + "T : 83762 9860 3921 1269 537 309 342 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.2066e-03 sec\n", + "--- Collate = 6.5060e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.132854e-06 < 1.562500e-03 [156]\n", + "--- Max DT=5.013245e-01 > 1.000000e-01 [67890]\n", + "----------------------------------------------------------------------\n", + " Component | low: 156/100000\n", + " Component | high: 67890/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=94.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00099707 [ 0.29 %]\n", + "Velocity : 0.0040194 [ 1.18 %]\n", + "Force : 0.0784405 [ 23.03 %]\n", + "Coefs : 0.0360736 [ 10.59 %]\n", + "Output : 0.00614045 [ 1.80 %]\n", + "Levels : 0.000314728 [ 0.09 %]\n", + "Report : 6.77e-07 [ 0.00 %]\n", + "Balance : 3.87e-07 [ 0.00 %]\n", + "Adjust : 0.214455 [ 62.96 %]\n", + "Total : 0.340635 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5980 710 280 88 39 18 27 \n", + "1 : 5934 721 298 102 34 20 33 \n", + "2 : 5985 707 260 105 27 30 28 \n", + "3 : 5951 698 293 103 45 23 29 \n", + "4 : 5971 707 290 96 37 24 17 \n", + "5 : 5976 721 273 85 29 30 28 \n", + "6 : 6009 685 280 96 34 23 15 \n", + "7 : 5986 679 280 102 43 30 22 \n", + "8 : 6009 696 273 80 36 24 24 \n", + "9 : 6010 673 292 83 37 23 24 \n", + "10 : 6023 683 272 90 40 14 20 \n", + "11 : 5973 713 279 81 33 31 32 \n", + "12 : 6001 720 244 89 35 30 23 \n", + "13 : 5954 723 291 99 45 22 20 \n", + "\n", + "T : 83762 9836 3905 1299 514 342 342 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.5688e-03 sec\n", + "--- Collate = 5.9404e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.254666e-05 < 1.562500e-03 [145]\n", + "--- Max DT=5.064828e-01 > 1.000000e-01 [67876]\n", + "----------------------------------------------------------------------\n", + " Component | low: 145/100000\n", + " Component | high: 67876/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=94.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00103848 [ 0.34 %]\n", + "Velocity : 0.00346521 [ 1.14 %]\n", + "Force : 0.0691348 [ 22.70 %]\n", + "Coefs : 0.0324964 [ 10.67 %]\n", + "Output : 0.00526019 [ 1.73 %]\n", + "Levels : 0.00026713 [ 0.09 %]\n", + "Report : 1.164e-06 [ 0.00 %]\n", + "Balance : 4.83e-07 [ 0.00 %]\n", + "Adjust : 0.192734 [ 63.28 %]\n", + "Total : 0.304575 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5976 717 275 86 35 31 22 \n", + "1 : 5936 715 305 95 33 26 32 \n", + "2 : 5988 705 267 93 35 24 30 \n", + "3 : 5947 705 289 102 43 29 27 \n", + "4 : 5974 710 285 95 40 19 19 \n", + "5 : 5970 729 271 79 34 23 36 \n", + "6 : 6008 684 284 91 33 22 20 \n", + "7 : 5986 677 281 108 36 29 25 \n", + "8 : 6009 697 274 79 37 19 27 \n", + "9 : 6012 676 289 82 38 25 20 \n", + "10 : 6017 681 284 91 29 27 13 \n", + "11 : 5970 718 277 80 31 37 29 \n", + "12 : 6005 712 251 89 25 26 34 \n", + "13 : 5955 725 283 105 42 25 19 \n", + "\n", + "T : 83753 9851 3915 1275 491 362 353 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.4572e-03 sec\n", + "--- Collate = 5.8599e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.556066e-06 < 1.562500e-03 [174]\n", + "--- Max DT=5.116447e-01 > 1.000000e-01 [67874]\n", + "----------------------------------------------------------------------\n", + " Component | low: 174/100000\n", + " Component | high: 67874/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=94.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00100523 [ 0.35 %]\n", + "Velocity : 0.00313171 [ 1.08 %]\n", + "Force : 0.0682991 [ 23.60 %]\n", + "Coefs : 0.0290046 [ 10.02 %]\n", + "Output : 0.00503697 [ 1.74 %]\n", + "Levels : 0.000242494 [ 0.08 %]\n", + "Report : 4e-07 [ 0.00 %]\n", + "Balance : 4.03e-07 [ 0.00 %]\n", + "Adjust : 0.18251 [ 63.06 %]\n", + "Total : 0.28942 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5973 721 272 90 39 25 22 \n", + "1 : 5938 712 308 90 38 23 33 \n", + "2 : 5988 710 263 92 38 21 30 \n", + "3 : 5945 700 294 97 49 29 28 \n", + "4 : 5974 711 277 97 43 19 21 \n", + "5 : 5969 724 275 80 30 30 34 \n", + "6 : 6002 699 279 87 29 22 24 \n", + "7 : 5991 669 281 115 29 27 30 \n", + "8 : 6005 701 262 95 34 19 26 \n", + "9 : 6010 680 284 85 41 21 21 \n", + "10 : 6020 678 280 86 35 31 12 \n", + "11 : 5973 713 278 84 33 28 33 \n", + "12 : 6000 728 234 90 33 25 32 \n", + "13 : 5942 738 275 109 46 22 22 \n", + "\n", + "T : 83730 9884 3862 1297 517 342 368 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.3750e-03 sec\n", + "--- Collate = 5.7969e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.448002e-06 < 1.562500e-03 [180]\n", + "--- Max DT=5.168107e-01 > 1.000000e-01 [67852]\n", + "----------------------------------------------------------------------\n", + " Component | low: 180/100000\n", + " Component | high: 67852/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=94.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00103432 [ 0.35 %]\n", + "Velocity : 0.00323206 [ 1.11 %]\n", + "Force : 0.0658998 [ 22.55 %]\n", + "Coefs : 0.0288956 [ 9.89 %]\n", + "Output : 0.00511677 [ 1.75 %]\n", + "Levels : 0.00031695 [ 0.11 %]\n", + "Report : 6.65e-07 [ 0.00 %]\n", + "Balance : 3.85e-07 [ 0.00 %]\n", + "Adjust : 0.187624 [ 64.19 %]\n", + "Total : 0.2923 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5967 723 277 84 40 31 20 \n", + "1 : 5929 718 305 97 37 28 28 \n", + "2 : 5987 714 262 91 40 21 27 \n", + "3 : 5952 695 289 98 53 30 25 \n", + "4 : 5978 700 278 103 41 20 22 \n", + "5 : 5965 726 276 82 30 30 33 \n", + "6 : 6002 701 276 87 30 15 31 \n", + "7 : 5995 660 287 107 39 25 29 \n", + "8 : 6005 702 258 99 31 25 22 \n", + "9 : 6007 685 282 91 39 17 21 \n", + "10 : 6020 678 278 80 42 23 21 \n", + "11 : 5974 710 276 89 32 27 34 \n", + "12 : 6003 726 225 96 37 22 33 \n", + "13 : 5936 749 270 108 39 26 26 \n", + "\n", + "T : 83720 9887 3839 1312 530 340 372 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 8.0215e-03 sec\n", + "--- Collate = 5.0953e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.063025e-06 < 1.562500e-03 [165]\n", + "--- Max DT=5.219796e-01 > 1.000000e-01 [67853]\n", + "----------------------------------------------------------------------\n", + " Component | low: 165/100000\n", + " Component | high: 67853/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=94.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00108548 [ 0.40 %]\n", + "Velocity : 0.00310329 [ 1.15 %]\n", + "Force : 0.0622818 [ 22.99 %]\n", + "Coefs : 0.0297323 [ 10.98 %]\n", + "Output : 0.00480647 [ 1.77 %]\n", + "Levels : 0.000290324 [ 0.11 %]\n", + "Report : 6.11e-07 [ 0.00 %]\n", + "Balance : 3.87e-07 [ 0.00 %]\n", + "Adjust : 0.16938 [ 62.54 %]\n", + "Total : 0.27085 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5970 717 271 92 35 32 25 \n", + "1 : 5928 714 303 110 29 24 34 \n", + "2 : 5988 713 261 89 46 24 21 \n", + "3 : 5946 705 289 97 53 20 32 \n", + "4 : 5975 701 283 99 35 24 25 \n", + "5 : 5964 729 270 82 39 25 33 \n", + "6 : 5998 712 270 83 27 23 29 \n", + "7 : 6000 659 284 111 34 24 30 \n", + "8 : 6007 707 248 102 36 24 18 \n", + "9 : 6006 691 270 92 40 24 19 \n", + "10 : 6024 673 282 75 37 27 24 \n", + "11 : 5973 713 264 97 39 27 29 \n", + "12 : 6000 725 233 92 38 30 24 \n", + "13 : 5941 738 266 121 28 27 33 \n", + "\n", + "T : 83720 9897 3794 1342 516 355 376 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.1082e-03 sec\n", + "--- Collate = 4.7782e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.458753e-05 < 1.562500e-03 [167]\n", + "--- Max DT=5.271524e-01 > 1.000000e-01 [67849]\n", + "----------------------------------------------------------------------\n", + " Component | low: 167/100000\n", + " Component | high: 67849/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=94.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000986356 [ 0.38 %]\n", + "Velocity : 0.00285387 [ 1.11 %]\n", + "Force : 0.0603219 [ 23.45 %]\n", + "Coefs : 0.0275825 [ 10.72 %]\n", + "Output : 0.00453673 [ 1.76 %]\n", + "Levels : 0.000233228 [ 0.09 %]\n", + "Report : 6.21e-07 [ 0.00 %]\n", + "Balance : 4.25e-07 [ 0.00 %]\n", + "Adjust : 0.160525 [ 62.41 %]\n", + "Total : 0.257199 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5966 724 268 83 37 39 25 \n", + "1 : 5930 716 297 113 32 23 31 \n", + "2 : 5990 713 260 95 40 26 18 \n", + "3 : 5943 711 278 107 47 25 31 \n", + "4 : 5978 698 292 88 37 20 29 \n", + "5 : 5977 712 266 93 37 26 31 \n", + "6 : 6005 707 268 84 27 24 27 \n", + "7 : 5996 664 291 103 37 28 23 \n", + "8 : 6004 700 261 99 36 21 21 \n", + "9 : 6007 690 265 98 39 20 23 \n", + "10 : 6022 674 287 74 27 27 31 \n", + "11 : 5973 713 260 95 41 31 29 \n", + "12 : 6003 725 228 95 45 19 27 \n", + "13 : 5950 732 262 113 35 27 35 \n", + "\n", + "T : 83744 9879 3783 1340 517 356 381 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.5906e-03 sec\n", + "--- Collate = 5.4566e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.222462e-07 < 1.562500e-03 [194]\n", + "--- Max DT=5.323302e-01 > 1.000000e-01 [67846]\n", + "----------------------------------------------------------------------\n", + " Component | low: 194/100000\n", + " Component | high: 67846/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=95] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000983481 [ 0.31 %]\n", + "Velocity : 0.00309979 [ 0.98 %]\n", + "Force : 0.0625312 [ 19.69 %]\n", + "Coefs : 0.0289182 [ 9.10 %]\n", + "Output : 0.0518953 [ 16.34 %]\n", + "Levels : 0.00026657 [ 0.08 %]\n", + "Report : 1.737e-06 [ 0.00 %]\n", + "Balance : 8.93e-07 [ 0.00 %]\n", + "Adjust : 0.169759 [ 53.45 %]\n", + "Total : 0.317618 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5970 721 266 84 38 28 35 \n", + "1 : 5921 721 296 113 38 23 30 \n", + "2 : 5995 708 259 94 44 22 20 \n", + "3 : 5941 721 264 116 42 25 33 \n", + "4 : 5979 693 297 88 28 30 27 \n", + "5 : 5980 705 269 94 42 23 29 \n", + "6 : 6003 704 281 76 33 23 22 \n", + "7 : 5997 660 297 103 37 23 25 \n", + "8 : 6000 705 262 94 36 28 17 \n", + "9 : 6006 690 262 102 37 19 26 \n", + "10 : 6025 671 281 75 31 26 33 \n", + "11 : 5966 717 264 86 45 32 32 \n", + "12 : 6001 728 225 92 45 26 25 \n", + "13 : 5952 721 275 107 33 32 34 \n", + "\n", + "T : 83736 9865 3798 1324 529 360 388 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 9.1038e-03 sec\n", + "--- Collate = 6.1629e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.101435e-05 < 1.562500e-03 [173]\n", + "--- Max DT=5.375630e-01 > 1.000000e-01 [67815]\n", + "----------------------------------------------------------------------\n", + " Component | low: 173/100000\n", + " Component | high: 67815/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=95.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000846405 [ 0.29 %]\n", + "Velocity : 0.00401833 [ 1.37 %]\n", + "Force : 0.0649319 [ 22.18 %]\n", + "Coefs : 0.0331347 [ 11.32 %]\n", + "Output : 0.00513766 [ 1.75 %]\n", + "Levels : 0.000288567 [ 0.10 %]\n", + "Report : 6.14e-07 [ 0.00 %]\n", + "Balance : 3.83e-07 [ 0.00 %]\n", + "Adjust : 0.184284 [ 62.94 %]\n", + "Total : 0.292813 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5959 730 270 77 48 24 34 \n", + "1 : 5916 728 296 112 39 22 29 \n", + "2 : 6014 683 269 90 40 27 19 \n", + "3 : 5942 718 272 112 41 30 27 \n", + "4 : 5978 690 300 91 34 21 28 \n", + "5 : 5980 701 271 101 43 21 25 \n", + "6 : 6001 704 277 80 34 24 22 \n", + "7 : 5998 663 292 104 40 21 24 \n", + "8 : 5994 708 267 96 32 24 21 \n", + "9 : 6005 690 255 110 37 19 26 \n", + "10 : 6027 666 283 76 32 22 36 \n", + "11 : 5964 713 274 86 43 26 36 \n", + "12 : 6003 722 231 92 43 20 31 \n", + "13 : 5954 718 281 92 45 32 32 \n", + "\n", + "T : 83735 9834 3838 1319 551 333 390 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 8.0873e-03 sec\n", + "--- Collate = 5.4026e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.742832e-06 < 1.562500e-03 [170]\n", + "--- Max DT=5.428029e-01 > 1.000000e-01 [67808]\n", + "----------------------------------------------------------------------\n", + " Component | low: 170/100000\n", + " Component | high: 67808/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=95.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000992271 [ 0.36 %]\n", + "Velocity : 0.00292097 [ 1.06 %]\n", + "Force : 0.0705516 [ 25.53 %]\n", + "Coefs : 0.0311323 [ 11.26 %]\n", + "Output : 0.00487956 [ 1.77 %]\n", + "Levels : 0.000259012 [ 0.09 %]\n", + "Report : 6.25e-07 [ 0.00 %]\n", + "Balance : 3.93e-07 [ 0.00 %]\n", + "Adjust : 0.165491 [ 59.88 %]\n", + "Total : 0.276385 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5947 749 266 75 40 32 33 \n", + "1 : 5916 728 293 109 46 24 26 \n", + "2 : 6012 682 276 86 33 26 27 \n", + "3 : 5945 708 279 116 35 29 30 \n", + "4 : 5978 691 302 92 30 29 20 \n", + "5 : 5990 687 276 101 41 23 24 \n", + "6 : 5992 721 261 87 33 29 19 \n", + "7 : 5995 669 285 102 41 29 21 \n", + "8 : 5996 704 265 94 37 25 21 \n", + "9 : 6004 685 260 114 32 23 24 \n", + "10 : 6021 668 286 84 29 25 29 \n", + "11 : 5958 720 268 95 36 31 34 \n", + "12 : 6008 717 231 99 37 25 25 \n", + "13 : 5954 713 272 105 54 24 32 \n", + "\n", + "T : 83716 9842 3820 1359 524 374 365 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 7.9001e-03 sec\n", + "--- Collate = 5.4075e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.199439e-06 < 1.562500e-03 [156]\n", + "--- Max DT=5.480499e-01 > 1.000000e-01 [67769]\n", + "----------------------------------------------------------------------\n", + " Component | low: 156/100000\n", + " Component | high: 67769/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=95.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000995167 [ 0.35 %]\n", + "Velocity : 0.00301965 [ 1.07 %]\n", + "Force : 0.066484 [ 23.62 %]\n", + "Coefs : 0.0344399 [ 12.24 %]\n", + "Output : 0.00480742 [ 1.71 %]\n", + "Levels : 0.000271079 [ 0.10 %]\n", + "Report : 6.15e-07 [ 0.00 %]\n", + "Balance : 3.95e-07 [ 0.00 %]\n", + "Adjust : 0.171241 [ 60.85 %]\n", + "Total : 0.281418 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5947 749 257 79 44 36 30 \n", + "1 : 5920 718 294 111 48 25 26 \n", + "2 : 6011 680 277 87 35 20 32 \n", + "3 : 5945 711 279 112 38 31 26 \n", + "4 : 5975 690 303 91 37 24 22 \n", + "5 : 5993 681 283 98 46 20 21 \n", + "6 : 5993 720 256 89 41 22 21 \n", + "7 : 5992 676 281 100 45 28 20 \n", + "8 : 5993 708 264 91 41 16 29 \n", + "9 : 6005 682 264 116 30 25 20 \n", + "10 : 6021 666 283 89 39 21 23 \n", + "11 : 5964 720 260 102 34 29 33 \n", + "12 : 6007 713 243 96 34 23 26 \n", + "13 : 5953 707 282 104 50 28 30 \n", + "\n", + "T : 83719 9821 3826 1365 562 348 359 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 7.9289e-03 sec\n", + "--- Collate = 6.7935e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.192528e-07 < 1.562500e-03 [168]\n", + "--- Max DT=5.533043e-01 > 1.000000e-01 [67735]\n", + "----------------------------------------------------------------------\n", + " Component | low: 168/100000\n", + " Component | high: 67735/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=95.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0009802 [ 0.36 %]\n", + "Velocity : 0.00299521 [ 1.09 %]\n", + "Force : 0.0617425 [ 22.45 %]\n", + "Coefs : 0.0322362 [ 11.72 %]\n", + "Output : 0.00467631 [ 1.70 %]\n", + "Levels : 0.000240126 [ 0.09 %]\n", + "Report : 4.77e-07 [ 0.00 %]\n", + "Balance : 3.64e-07 [ 0.00 %]\n", + "Adjust : 0.171999 [ 62.54 %]\n", + "Total : 0.275029 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5946 746 258 84 51 24 33 \n", + "1 : 5917 717 295 115 42 34 22 \n", + "2 : 6013 676 277 93 24 27 32 \n", + "3 : 5942 715 279 118 35 24 29 \n", + "4 : 5978 692 293 95 41 22 21 \n", + "5 : 5996 677 285 100 41 21 22 \n", + "6 : 5991 716 260 90 40 20 25 \n", + "7 : 5997 677 284 94 40 24 26 \n", + "8 : 6003 701 271 86 27 30 24 \n", + "9 : 6005 676 273 104 46 17 21 \n", + "10 : 6015 675 274 91 41 29 17 \n", + "11 : 5973 709 262 105 35 28 30 \n", + "12 : 6004 715 245 92 39 21 26 \n", + "13 : 5948 709 282 111 45 27 32 \n", + "\n", + "T : 83728 9801 3838 1378 547 348 360 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 7.8537e-03 sec\n", + "--- Collate = 5.2131e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.962377e-06 < 1.562500e-03 [160]\n", + "--- Max DT=5.585662e-01 > 1.000000e-01 [67721]\n", + "----------------------------------------------------------------------\n", + " Component | low: 160/100000\n", + " Component | high: 67721/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=95.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00094387 [ 0.35 %]\n", + "Velocity : 0.00299046 [ 1.12 %]\n", + "Force : 0.0604348 [ 22.66 %]\n", + "Coefs : 0.0277278 [ 10.40 %]\n", + "Output : 0.00466242 [ 1.75 %]\n", + "Levels : 0.000279272 [ 0.10 %]\n", + "Report : 7.55e-07 [ 0.00 %]\n", + "Balance : 3.86e-07 [ 0.00 %]\n", + "Adjust : 0.169476 [ 63.55 %]\n", + "Total : 0.266678 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5942 747 260 83 53 25 32 \n", + "1 : 5914 719 296 117 41 24 31 \n", + "2 : 6011 679 275 92 34 24 27 \n", + "3 : 5939 720 278 111 37 23 34 \n", + "4 : 5974 690 297 95 36 29 21 \n", + "5 : 6001 672 281 103 35 27 23 \n", + "6 : 5986 715 264 94 37 19 27 \n", + "7 : 6004 678 278 89 38 24 31 \n", + "8 : 6008 693 272 83 36 18 32 \n", + "9 : 6015 668 268 107 46 19 19 \n", + "10 : 6018 669 272 99 42 24 18 \n", + "11 : 5974 705 271 105 35 23 29 \n", + "12 : 6003 717 240 96 37 23 26 \n", + "13 : 5946 706 280 114 49 31 28 \n", + "\n", + "T : 83735 9778 3832 1388 556 333 378 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.9%\n", + "--- Update = 7.9935e-03 sec\n", + "--- Collate = 5.1421e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.178975e-07 < 1.562500e-03 [186]\n", + "--- Max DT=5.638365e-01 > 1.000000e-01 [67704]\n", + "----------------------------------------------------------------------\n", + " Component | low: 186/100000\n", + " Component | high: 67704/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=95.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000944119 [ 0.35 %]\n", + "Velocity : 0.00294614 [ 1.08 %]\n", + "Force : 0.0621479 [ 22.88 %]\n", + "Coefs : 0.0358822 [ 13.21 %]\n", + "Output : 0.00471693 [ 1.74 %]\n", + "Levels : 0.000251195 [ 0.09 %]\n", + "Report : 6.69e-07 [ 0.00 %]\n", + "Balance : 3.95e-07 [ 0.00 %]\n", + "Adjust : 0.164571 [ 60.58 %]\n", + "Total : 0.271638 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5947 743 261 87 50 23 31 \n", + "1 : 5908 732 289 116 34 27 36 \n", + "2 : 6005 689 270 87 44 21 26 \n", + "3 : 5938 718 278 109 37 24 38 \n", + "4 : 5975 694 293 91 35 30 24 \n", + "5 : 6006 667 281 106 33 18 31 \n", + "6 : 5983 718 265 100 25 25 26 \n", + "7 : 6007 681 276 86 42 22 28 \n", + "8 : 6009 697 263 93 33 20 27 \n", + "9 : 6009 674 270 115 32 24 18 \n", + "10 : 6018 671 269 101 44 18 21 \n", + "11 : 5978 706 274 99 39 25 21 \n", + "12 : 6001 722 241 92 43 19 24 \n", + "13 : 5942 711 278 115 53 22 33 \n", + "\n", + "T : 83726 9823 3808 1397 544 318 384 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 8.0375e-03 sec\n", + "--- Collate = 5.4468e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.751897e-06 < 1.562500e-03 [175]\n", + "--- Max DT=5.691139e-01 > 1.000000e-01 [67733]\n", + "----------------------------------------------------------------------\n", + " Component | low: 175/100000\n", + " Component | high: 67733/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=95.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000976079 [ 0.35 %]\n", + "Velocity : 0.00291108 [ 1.05 %]\n", + "Force : 0.064794 [ 23.47 %]\n", + "Coefs : 0.0285455 [ 10.34 %]\n", + "Output : 0.00492982 [ 1.79 %]\n", + "Levels : 0.000258793 [ 0.09 %]\n", + "Report : 4.02e-07 [ 0.00 %]\n", + "Balance : 3.63e-07 [ 0.00 %]\n", + "Adjust : 0.173459 [ 62.84 %]\n", + "Total : 0.27603 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5947 739 262 95 45 24 30 \n", + "1 : 5906 739 279 111 44 27 36 \n", + "2 : 6012 681 271 88 47 21 22 \n", + "3 : 5932 725 287 105 29 30 34 \n", + "4 : 5976 690 300 83 38 26 29 \n", + "5 : 6012 658 289 105 28 15 35 \n", + "6 : 5976 718 268 95 34 26 25 \n", + "7 : 6004 683 281 78 49 18 29 \n", + "8 : 6001 702 257 97 39 20 26 \n", + "9 : 6010 671 274 108 39 24 16 \n", + "10 : 6007 679 274 95 43 21 23 \n", + "11 : 5972 708 285 90 47 20 20 \n", + "12 : 5996 725 239 88 54 20 20 \n", + "13 : 5937 720 274 124 48 23 28 \n", + "\n", + "T : 83688 9838 3840 1362 584 315 373 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.3696e-03 sec\n", + "--- Collate = 5.6856e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.431308e-06 < 1.562500e-03 [165]\n", + "--- Max DT=5.743992e-01 > 1.000000e-01 [67726]\n", + "----------------------------------------------------------------------\n", + " Component | low: 165/100000\n", + " Component | high: 67726/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=95.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00100681 [ 0.33 %]\n", + "Velocity : 0.00325559 [ 1.06 %]\n", + "Force : 0.0734446 [ 23.93 %]\n", + "Coefs : 0.0345951 [ 11.27 %]\n", + "Output : 0.00579841 [ 1.89 %]\n", + "Levels : 0.00030626 [ 0.10 %]\n", + "Report : 6.96e-07 [ 0.00 %]\n", + "Balance : 4.03e-07 [ 0.00 %]\n", + "Adjust : 0.188329 [ 61.36 %]\n", + "Total : 0.306924 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5947 735 259 106 41 23 31 \n", + "1 : 5905 741 277 103 52 26 38 \n", + "2 : 6004 690 274 88 42 18 26 \n", + "3 : 5931 731 281 105 34 28 32 \n", + "4 : 5970 703 292 86 37 23 31 \n", + "5 : 6007 658 291 103 30 29 24 \n", + "6 : 5981 711 268 94 42 18 28 \n", + "7 : 6002 680 286 80 41 31 22 \n", + "8 : 6003 699 266 90 42 22 20 \n", + "9 : 6008 664 285 107 34 22 22 \n", + "10 : 6011 677 275 95 35 22 27 \n", + "11 : 5975 696 297 91 36 27 20 \n", + "12 : 6000 718 249 76 51 29 19 \n", + "13 : 5937 714 285 120 43 25 30 \n", + "\n", + "T : 83681 9817 3885 1344 560 343 370 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 7.9658e-03 sec\n", + "--- Collate = 5.1015e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.003092e-06 < 1.562500e-03 [172]\n", + "--- Max DT=5.796908e-01 > 1.000000e-01 [67732]\n", + "----------------------------------------------------------------------\n", + " Component | low: 172/100000\n", + " Component | high: 67732/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=95.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00112561 [ 0.38 %]\n", + "Velocity : 0.00315564 [ 1.08 %]\n", + "Force : 0.0679211 [ 23.22 %]\n", + "Coefs : 0.0300164 [ 10.26 %]\n", + "Output : 0.00520045 [ 1.78 %]\n", + "Levels : 0.0002475 [ 0.08 %]\n", + "Report : 6.81e-07 [ 0.00 %]\n", + "Balance : 3.58e-07 [ 0.00 %]\n", + "Adjust : 0.184689 [ 63.13 %]\n", + "Total : 0.29253 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5939 744 267 95 43 27 27 \n", + "1 : 5909 745 270 106 44 34 34 \n", + "2 : 6005 688 272 95 40 18 24 \n", + "3 : 5920 741 283 104 30 35 29 \n", + "4 : 5969 707 281 95 38 20 32 \n", + "5 : 6006 659 291 94 37 31 24 \n", + "6 : 5979 710 265 100 39 24 25 \n", + "7 : 5998 679 282 95 39 26 23 \n", + "8 : 6007 697 260 97 39 21 21 \n", + "9 : 6004 669 283 105 33 25 23 \n", + "10 : 6013 674 275 93 32 27 28 \n", + "11 : 5973 698 297 90 32 30 22 \n", + "12 : 5998 719 247 83 47 19 29 \n", + "13 : 5935 711 287 118 48 31 24 \n", + "\n", + "T : 83655 9841 3860 1370 541 368 365 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.3942e-03 sec\n", + "--- Collate = 5.4597e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.065670e-06 < 1.562500e-03 [160]\n", + "--- Max DT=5.849881e-01 > 1.000000e-01 [67724]\n", + "----------------------------------------------------------------------\n", + " Component | low: 160/100000\n", + " Component | high: 67724/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=96] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00103419 [ 0.31 %]\n", + "Velocity : 0.00319888 [ 0.94 %]\n", + "Force : 0.0672438 [ 19.86 %]\n", + "Coefs : 0.0328658 [ 9.71 %]\n", + "Output : 0.0412208 [ 12.18 %]\n", + "Levels : 0.000319686 [ 0.09 %]\n", + "Report : 1.437e-06 [ 0.00 %]\n", + "Balance : 3.61e-07 [ 0.00 %]\n", + "Adjust : 0.192457 [ 56.85 %]\n", + "Total : 0.338508 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5942 740 265 105 35 26 29 \n", + "1 : 5911 747 266 110 42 38 28 \n", + "2 : 6011 691 258 100 37 23 22 \n", + "3 : 5927 730 295 93 40 30 27 \n", + "4 : 5971 704 283 94 33 32 25 \n", + "5 : 6011 656 297 80 49 24 25 \n", + "6 : 5980 714 259 105 37 22 25 \n", + "7 : 5995 684 279 107 35 17 25 \n", + "8 : 6010 691 268 95 30 30 18 \n", + "9 : 6001 676 282 100 36 19 28 \n", + "10 : 6009 676 272 97 32 26 30 \n", + "11 : 5973 693 305 86 34 25 26 \n", + "12 : 5997 722 248 84 33 24 34 \n", + "13 : 5925 721 284 122 48 25 29 \n", + "\n", + "T : 83663 9845 3861 1378 521 361 371 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 9.0394e-03 sec\n", + "--- Collate = 5.6198e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.846054e-06 < 1.562500e-03 [164]\n", + "--- Max DT=5.902913e-01 > 1.000000e-01 [67712]\n", + "----------------------------------------------------------------------\n", + " Component | low: 164/100000\n", + " Component | high: 67712/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=96.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000551251 [ 0.20 %]\n", + "Velocity : 0.00304033 [ 1.11 %]\n", + "Force : 0.0621535 [ 22.65 %]\n", + "Coefs : 0.0285861 [ 10.42 %]\n", + "Output : 0.00278497 [ 1.01 %]\n", + "Levels : 0.000201176 [ 0.07 %]\n", + "Report : 8.63e-07 [ 0.00 %]\n", + "Balance : 5.88e-07 [ 0.00 %]\n", + "Adjust : 0.176962 [ 64.48 %]\n", + "Total : 0.274435 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5947 739 264 105 34 30 23 \n", + "1 : 5907 743 269 121 40 31 31 \n", + "2 : 6008 703 248 100 37 26 20 \n", + "3 : 5915 730 304 94 46 27 26 \n", + "4 : 5970 713 272 95 36 29 27 \n", + "5 : 6014 655 289 87 49 18 30 \n", + "6 : 5978 715 262 105 33 30 19 \n", + "7 : 5985 702 273 105 36 10 31 \n", + "8 : 6005 700 260 94 40 17 26 \n", + "9 : 5992 683 287 91 43 25 21 \n", + "10 : 6006 686 269 98 28 24 31 \n", + "11 : 5971 696 302 94 21 26 32 \n", + "12 : 5999 723 246 85 33 21 35 \n", + "13 : 5919 722 281 122 54 31 25 \n", + "\n", + "T : 83616 9910 3826 1396 530 345 377 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.4%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.3681e-03 sec\n", + "--- Collate = 6.8583e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.904058e-06 < 1.562500e-03 [186]\n", + "--- Max DT=5.956007e-01 > 1.000000e-01 [67720]\n", + "----------------------------------------------------------------------\n", + " Component | low: 186/100000\n", + " Component | high: 67720/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=96.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000479528 [ 0.17 %]\n", + "Velocity : 0.00191763 [ 0.66 %]\n", + "Force : 0.0670618 [ 23.24 %]\n", + "Coefs : 0.0304049 [ 10.54 %]\n", + "Output : 0.00335562 [ 1.16 %]\n", + "Levels : 0.000301531 [ 0.10 %]\n", + "Report : 1.086e-06 [ 0.00 %]\n", + "Balance : 7.56e-07 [ 0.00 %]\n", + "Adjust : 0.184887 [ 64.07 %]\n", + "Total : 0.28858 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5936 748 268 107 28 28 27 \n", + "1 : 5906 749 271 110 44 28 34 \n", + "2 : 6012 697 257 96 38 20 22 \n", + "3 : 5915 727 311 97 39 22 31 \n", + "4 : 5970 711 276 87 43 28 27 \n", + "5 : 6019 653 286 92 38 27 27 \n", + "6 : 5983 708 259 113 32 24 23 \n", + "7 : 5984 703 270 106 40 16 23 \n", + "8 : 5994 716 262 85 39 21 25 \n", + "9 : 5993 682 291 92 41 18 25 \n", + "10 : 6007 684 271 95 37 11 37 \n", + "11 : 5971 703 298 89 25 27 29 \n", + "12 : 5996 727 245 84 34 22 34 \n", + "13 : 5920 721 286 120 50 26 31 \n", + "\n", + "T : 83606 9929 3851 1373 528 318 395 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.0382e-03 sec\n", + "--- Collate = 7.5542e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.941624e-07 < 1.562500e-03 [176]\n", + "--- Max DT=6.009164e-01 > 1.000000e-01 [67726]\n", + "----------------------------------------------------------------------\n", + " Component | low: 176/100000\n", + " Component | high: 67726/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=96.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000623968 [ 0.22 %]\n", + "Velocity : 0.00203898 [ 0.72 %]\n", + "Force : 0.0644308 [ 22.82 %]\n", + "Coefs : 0.0299964 [ 10.62 %]\n", + "Output : 0.00302992 [ 1.07 %]\n", + "Levels : 0.000255521 [ 0.09 %]\n", + "Report : 9.99e-07 [ 0.00 %]\n", + "Balance : 6.72e-07 [ 0.00 %]\n", + "Adjust : 0.181832 [ 64.39 %]\n", + "Total : 0.282378 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5945 730 277 101 36 21 32 \n", + "1 : 5896 762 269 107 44 31 33 \n", + "2 : 6012 691 255 98 36 27 23 \n", + "3 : 5914 734 304 103 37 20 30 \n", + "4 : 5967 709 276 102 45 17 26 \n", + "5 : 6011 661 286 102 27 27 28 \n", + "6 : 5978 710 262 112 28 24 28 \n", + "7 : 5982 698 283 104 31 25 19 \n", + "8 : 5991 717 264 84 40 21 25 \n", + "9 : 5995 678 289 91 40 26 23 \n", + "10 : 6008 682 269 93 42 16 32 \n", + "11 : 5971 705 290 91 34 24 27 \n", + "12 : 5994 728 255 74 40 19 32 \n", + "13 : 5927 702 306 117 39 33 30 \n", + "\n", + "T : 83591 9907 3885 1379 519 331 388 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.0966e-03 sec\n", + "--- Collate = 6.0788e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.995473e-06 < 1.562500e-03 [164]\n", + "--- Max DT=6.062383e-01 > 1.000000e-01 [67736]\n", + "----------------------------------------------------------------------\n", + " Component | low: 164/100000\n", + " Component | high: 67736/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=96.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000694617 [ 0.26 %]\n", + "Velocity : 0.00228895 [ 0.85 %]\n", + "Force : 0.0624481 [ 23.16 %]\n", + "Coefs : 0.0290503 [ 10.77 %]\n", + "Output : 0.00291259 [ 1.08 %]\n", + "Levels : 0.000241732 [ 0.09 %]\n", + "Report : 7.8e-07 [ 0.00 %]\n", + "Balance : 4.2e-07 [ 0.00 %]\n", + "Adjust : 0.171789 [ 63.72 %]\n", + "Total : 0.269612 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5946 726 283 97 33 24 33 \n", + "1 : 5894 758 269 119 42 33 27 \n", + "2 : 6013 692 256 86 44 24 27 \n", + "3 : 5912 732 312 93 44 20 29 \n", + "4 : 5966 716 267 114 30 23 26 \n", + "5 : 6009 665 286 99 35 25 23 \n", + "6 : 5970 723 263 104 30 22 30 \n", + "7 : 5977 702 287 91 42 24 19 \n", + "8 : 5990 711 273 84 33 24 27 \n", + "9 : 5995 677 282 94 46 22 26 \n", + "10 : 6004 685 269 100 37 27 20 \n", + "11 : 5959 717 288 88 39 28 23 \n", + "12 : 5998 725 260 72 39 18 30 \n", + "13 : 5926 698 314 117 39 25 35 \n", + "\n", + "T : 83559 9927 3909 1358 533 339 375 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.0420e-03 sec\n", + "--- Collate = 5.8464e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.787868e-06 < 1.562500e-03 [168]\n", + "--- Max DT=6.115673e-01 > 1.000000e-01 [67728]\n", + "----------------------------------------------------------------------\n", + " Component | low: 168/100000\n", + " Component | high: 67728/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=96.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000568045 [ 0.21 %]\n", + "Velocity : 0.00180127 [ 0.65 %]\n", + "Force : 0.0647251 [ 23.45 %]\n", + "Coefs : 0.0302415 [ 10.96 %]\n", + "Output : 0.00271736 [ 0.98 %]\n", + "Levels : 0.000228709 [ 0.08 %]\n", + "Report : 1.056e-06 [ 0.00 %]\n", + "Balance : 4.9e-07 [ 0.00 %]\n", + "Adjust : 0.175506 [ 63.60 %]\n", + "Total : 0.275962 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5944 730 280 98 31 30 29 \n", + "1 : 5891 754 277 129 39 26 26 \n", + "2 : 6018 690 257 88 39 25 25 \n", + "3 : 5907 748 304 91 38 28 26 \n", + "4 : 5967 711 268 113 31 30 22 \n", + "5 : 6016 653 287 101 37 28 20 \n", + "6 : 5972 719 273 95 36 21 26 \n", + "7 : 5975 699 291 94 38 25 20 \n", + "8 : 5999 696 275 90 38 20 24 \n", + "9 : 5992 676 288 91 39 30 26 \n", + "10 : 6003 693 257 104 44 18 23 \n", + "11 : 5958 718 282 90 38 29 27 \n", + "12 : 5998 724 255 74 41 30 20 \n", + "13 : 5921 703 321 116 39 23 31 \n", + "\n", + "T : 83561 9914 3915 1374 528 363 345 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.6464e-03 sec\n", + "--- Collate = 5.3193e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.465072e-05 < 1.562500e-03 [164]\n", + "--- Max DT=6.169031e-01 > 1.000000e-01 [67736]\n", + "----------------------------------------------------------------------\n", + " Component | low: 164/100000\n", + " Component | high: 67736/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=96.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000465164 [ 0.18 %]\n", + "Velocity : 0.00155641 [ 0.60 %]\n", + "Force : 0.060649 [ 23.52 %]\n", + "Coefs : 0.0288735 [ 11.20 %]\n", + "Output : 0.00199095 [ 0.77 %]\n", + "Levels : 0.000200157 [ 0.08 %]\n", + "Report : 9.03e-07 [ 0.00 %]\n", + "Balance : 3.33e-07 [ 0.00 %]\n", + "Adjust : 0.163991 [ 63.60 %]\n", + "Total : 0.25786 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5939 725 290 102 32 22 32 \n", + "1 : 5882 764 277 127 44 19 29 \n", + "2 : 6015 696 254 91 34 23 29 \n", + "3 : 5911 741 306 93 42 23 26 \n", + "4 : 5973 697 282 106 29 33 22 \n", + "5 : 6010 659 286 91 49 25 22 \n", + "6 : 5971 716 283 84 44 17 27 \n", + "7 : 5975 700 284 98 39 21 25 \n", + "8 : 5997 697 270 98 33 20 27 \n", + "9 : 5992 682 286 91 36 24 31 \n", + "10 : 6003 694 264 95 47 18 21 \n", + "11 : 5956 728 275 94 33 24 32 \n", + "12 : 6000 719 254 84 37 25 23 \n", + "13 : 5915 715 316 116 37 24 31 \n", + "\n", + "T : 83539 9933 3927 1370 536 318 377 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.5594e-03 sec\n", + "--- Collate = 5.3797e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.181825e-05 < 1.562500e-03 [175]\n", + "--- Max DT=6.222460e-01 > 1.000000e-01 [67741]\n", + "----------------------------------------------------------------------\n", + " Component | low: 175/100000\n", + " Component | high: 67741/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=96.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000415861 [ 0.17 %]\n", + "Velocity : 0.00146038 [ 0.59 %]\n", + "Force : 0.059272 [ 23.81 %]\n", + "Coefs : 0.0288345 [ 11.58 %]\n", + "Output : 0.00159828 [ 0.64 %]\n", + "Levels : 0.000167163 [ 0.07 %]\n", + "Report : 8.22e-07 [ 0.00 %]\n", + "Balance : 3.97e-07 [ 0.00 %]\n", + "Adjust : 0.157084 [ 63.09 %]\n", + "Total : 0.248968 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5934 732 286 102 37 27 24 \n", + "1 : 5879 766 280 117 50 22 28 \n", + "2 : 6019 684 255 98 34 22 30 \n", + "3 : 5914 737 314 86 41 19 31 \n", + "4 : 5979 686 287 105 32 30 23 \n", + "5 : 6003 665 284 95 45 32 18 \n", + "6 : 5964 715 287 84 49 24 19 \n", + "7 : 5981 692 285 103 30 24 27 \n", + "8 : 5994 702 260 106 31 27 22 \n", + "9 : 5985 689 291 85 34 30 28 \n", + "10 : 6001 694 254 108 40 23 22 \n", + "11 : 5958 729 267 98 35 22 33 \n", + "12 : 5991 733 253 83 35 22 25 \n", + "13 : 5909 723 314 117 38 22 31 \n", + "\n", + "T : 83511 9947 3917 1387 531 346 361 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.1%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.9984e-03 sec\n", + "--- Collate = 5.2785e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.888373e-06 < 1.562500e-03 [168]\n", + "--- Max DT=6.275952e-01 > 1.000000e-01 [67739]\n", + "----------------------------------------------------------------------\n", + " Component | low: 168/100000\n", + " Component | high: 67739/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=96.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000434685 [ 0.16 %]\n", + "Velocity : 0.00168338 [ 0.63 %]\n", + "Force : 0.0617566 [ 23.00 %]\n", + "Coefs : 0.0294325 [ 10.96 %]\n", + "Output : 0.00248713 [ 0.93 %]\n", + "Levels : 0.000159145 [ 0.06 %]\n", + "Report : 8.02e-07 [ 0.00 %]\n", + "Balance : 3.87e-07 [ 0.00 %]\n", + "Adjust : 0.172423 [ 64.21 %]\n", + "Total : 0.268531 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5938 723 294 100 33 29 25 \n", + "1 : 5885 749 295 111 51 25 26 \n", + "2 : 6011 688 257 108 25 29 24 \n", + "3 : 5916 740 304 97 31 24 30 \n", + "4 : 5977 685 287 109 36 16 32 \n", + "5 : 5994 678 273 101 45 29 22 \n", + "6 : 5966 726 273 79 55 22 21 \n", + "7 : 5985 695 277 95 40 20 30 \n", + "8 : 5990 715 248 112 35 20 22 \n", + "9 : 5993 682 284 91 35 27 30 \n", + "10 : 6001 696 260 99 34 23 29 \n", + "11 : 5954 738 260 95 38 25 32 \n", + "12 : 5997 730 253 84 31 22 25 \n", + "13 : 5908 724 317 125 32 18 30 \n", + "\n", + "T : 83515 9969 3882 1406 521 329 378 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.6161e-03 sec\n", + "--- Collate = 5.2830e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.207642e-06 < 1.562500e-03 [173]\n", + "--- Max DT=6.329498e-01 > 1.000000e-01 [67695]\n", + "----------------------------------------------------------------------\n", + " Component | low: 173/100000\n", + " Component | high: 67695/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=96.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000419853 [ 0.17 %]\n", + "Velocity : 0.00141469 [ 0.56 %]\n", + "Force : 0.0595488 [ 23.74 %]\n", + "Coefs : 0.0287552 [ 11.46 %]\n", + "Output : 0.00172065 [ 0.69 %]\n", + "Levels : 0.000210919 [ 0.08 %]\n", + "Report : 5.19e-07 [ 0.00 %]\n", + "Balance : 3.3e-07 [ 0.00 %]\n", + "Adjust : 0.158645 [ 63.24 %]\n", + "Total : 0.250844 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5938 721 289 112 31 22 29 \n", + "1 : 5886 742 302 113 42 34 23 \n", + "2 : 6013 686 259 100 38 20 26 \n", + "3 : 5911 753 300 102 21 28 27 \n", + "4 : 5973 685 296 100 42 16 30 \n", + "5 : 5992 682 275 92 46 24 31 \n", + "6 : 5959 733 272 93 39 21 25 \n", + "7 : 5980 695 283 95 44 19 26 \n", + "8 : 5985 718 249 117 36 21 16 \n", + "9 : 5988 686 281 91 42 25 29 \n", + "10 : 6002 697 260 92 37 26 28 \n", + "11 : 5963 734 254 103 35 22 31 \n", + "12 : 5996 737 244 85 36 19 25 \n", + "13 : 5902 726 316 125 33 25 27 \n", + "\n", + "T : 83488 9995 3880 1420 522 322 373 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.6756e-03 sec\n", + "--- Collate = 4.9128e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.506245e-06 < 1.562500e-03 [176]\n", + "--- Max DT=6.383093e-01 > 1.000000e-01 [67676]\n", + "----------------------------------------------------------------------\n", + " Component | low: 176/100000\n", + " Component | high: 67676/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=97] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000406903 [ 0.14 %]\n", + "Velocity : 0.00155726 [ 0.53 %]\n", + "Force : 0.0606173 [ 20.66 %]\n", + "Coefs : 0.0290347 [ 9.90 %]\n", + "Output : 0.0389598 [ 13.28 %]\n", + "Levels : 0.000199139 [ 0.07 %]\n", + "Report : 1.198e-06 [ 0.00 %]\n", + "Balance : 7.43e-07 [ 0.00 %]\n", + "Adjust : 0.162464 [ 55.38 %]\n", + "Total : 0.293387 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5934 724 291 106 42 19 26 \n", + "1 : 5893 733 298 121 44 21 32 \n", + "2 : 6020 685 248 104 43 21 21 \n", + "3 : 5908 759 288 113 25 24 25 \n", + "4 : 5971 692 294 99 40 18 28 \n", + "5 : 5987 698 270 88 39 26 34 \n", + "6 : 5960 737 261 96 42 16 30 \n", + "7 : 5977 703 278 91 46 23 24 \n", + "8 : 5981 717 258 114 39 18 15 \n", + "9 : 5992 686 282 91 41 22 28 \n", + "10 : 6002 690 268 88 39 23 32 \n", + "11 : 5957 743 253 94 34 32 29 \n", + "12 : 5997 736 253 79 36 18 23 \n", + "13 : 5901 725 327 115 38 22 26 \n", + "\n", + "T : 83480 10028 3869 1399 548 303 373 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.4669e-03 sec\n", + "--- Collate = 5.7956e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.894273e-05 < 1.562500e-03 [175]\n", + "--- Max DT=6.436739e-01 > 1.000000e-01 [67662]\n", + "----------------------------------------------------------------------\n", + " Component | low: 175/100000\n", + " Component | high: 67662/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=97.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000508673 [ 0.20 %]\n", + "Velocity : 0.0020128 [ 0.78 %]\n", + "Force : 0.0617573 [ 23.87 %]\n", + "Coefs : 0.0289856 [ 11.20 %]\n", + "Output : 0.00211439 [ 0.82 %]\n", + "Levels : 0.000202519 [ 0.08 %]\n", + "Report : 1.001e-06 [ 0.00 %]\n", + "Balance : 4.43e-07 [ 0.00 %]\n", + "Adjust : 0.162969 [ 63.00 %]\n", + "Total : 0.258696 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5927 734 289 101 44 27 20 \n", + "1 : 5897 734 294 127 38 19 33 \n", + "2 : 6030 675 250 101 42 24 20 \n", + "3 : 5907 761 289 108 37 14 26 \n", + "4 : 5971 690 287 109 35 29 21 \n", + "5 : 5986 692 277 91 31 29 36 \n", + "6 : 5965 725 264 104 39 20 25 \n", + "7 : 5981 696 279 91 43 33 19 \n", + "8 : 5977 723 259 109 43 18 13 \n", + "9 : 5995 684 275 92 48 24 24 \n", + "10 : 6003 692 262 93 38 22 32 \n", + "11 : 5955 742 260 90 39 26 30 \n", + "12 : 5996 740 250 77 37 23 19 \n", + "13 : 5908 720 334 103 43 21 25 \n", + "\n", + "T : 83498 10008 3869 1396 557 329 343 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.7016e-03 sec\n", + "--- Collate = 5.7836e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.494046e-06 < 1.562500e-03 [133]\n", + "--- Max DT=6.490443e-01 > 1.000000e-01 [67684]\n", + "----------------------------------------------------------------------\n", + " Component | low: 133/100000\n", + " Component | high: 67684/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=97.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000503384 [ 0.19 %]\n", + "Velocity : 0.00220208 [ 0.83 %]\n", + "Force : 0.0619835 [ 23.37 %]\n", + "Coefs : 0.0300642 [ 11.34 %]\n", + "Output : 0.00232278 [ 0.88 %]\n", + "Levels : 0.000219036 [ 0.08 %]\n", + "Report : 1.154e-06 [ 0.00 %]\n", + "Balance : 3.91e-07 [ 0.00 %]\n", + "Adjust : 0.16777 [ 63.26 %]\n", + "Total : 0.265223 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5926 723 303 102 44 26 18 \n", + "1 : 5900 730 298 119 43 23 29 \n", + "2 : 6033 678 247 100 32 32 20 \n", + "3 : 5905 771 286 103 35 20 22 \n", + "4 : 5971 703 277 109 32 30 20 \n", + "5 : 5976 703 279 90 30 38 26 \n", + "6 : 5967 727 255 110 36 25 22 \n", + "7 : 5980 690 289 90 46 25 22 \n", + "8 : 5979 727 254 101 47 19 15 \n", + "9 : 5998 689 267 97 40 29 22 \n", + "10 : 6006 689 270 87 32 31 27 \n", + "11 : 5952 742 266 88 32 28 34 \n", + "12 : 5995 738 250 82 33 23 21 \n", + "13 : 5906 727 332 105 37 24 23 \n", + "\n", + "T : 83494 10037 3873 1383 519 373 321 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.6687e-03 sec\n", + "--- Collate = 5.2142e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.958905e-06 < 1.562500e-03 [148]\n", + "--- Max DT=6.544204e-01 > 1.000000e-01 [67675]\n", + "----------------------------------------------------------------------\n", + " Component | low: 148/100000\n", + " Component | high: 67675/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=97.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000394327 [ 0.15 %]\n", + "Velocity : 0.001547 [ 0.61 %]\n", + "Force : 0.0602401 [ 23.56 %]\n", + "Coefs : 0.0293511 [ 11.48 %]\n", + "Output : 0.00181854 [ 0.71 %]\n", + "Levels : 0.000200689 [ 0.08 %]\n", + "Report : 8.52e-07 [ 0.00 %]\n", + "Balance : 4.26e-07 [ 0.00 %]\n", + "Adjust : 0.162001 [ 63.36 %]\n", + "Total : 0.255691 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5917 730 308 101 38 29 19 \n", + "1 : 5900 723 303 116 46 31 23 \n", + "2 : 6026 688 243 97 35 25 28 \n", + "3 : 5900 779 290 101 27 25 20 \n", + "4 : 5970 701 290 106 32 16 27 \n", + "5 : 5980 698 282 92 39 26 25 \n", + "6 : 5959 739 244 118 33 28 21 \n", + "7 : 5981 696 285 94 39 24 23 \n", + "8 : 5975 726 259 99 41 20 22 \n", + "9 : 5995 694 262 104 38 21 28 \n", + "10 : 5996 691 274 88 41 24 28 \n", + "11 : 5953 738 268 92 34 22 35 \n", + "12 : 5999 731 254 86 32 17 23 \n", + "13 : 5904 747 311 105 33 27 27 \n", + "\n", + "T : 83455 10081 3873 1399 508 335 349 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.8054e-03 sec\n", + "--- Collate = 5.5759e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.027456e-05 < 1.562500e-03 [196]\n", + "--- Max DT=6.598026e-01 > 1.000000e-01 [67679]\n", + "----------------------------------------------------------------------\n", + " Component | low: 196/100000\n", + " Component | high: 67679/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=97.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000435169 [ 0.17 %]\n", + "Velocity : 0.00153022 [ 0.59 %]\n", + "Force : 0.06066 [ 23.45 %]\n", + "Coefs : 0.0292702 [ 11.32 %]\n", + "Output : 0.00218321 [ 0.84 %]\n", + "Levels : 0.000207125 [ 0.08 %]\n", + "Report : 1.023e-06 [ 0.00 %]\n", + "Balance : 4.58e-07 [ 0.00 %]\n", + "Adjust : 0.164202 [ 63.49 %]\n", + "Total : 0.258633 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5917 736 304 97 42 18 28 \n", + "1 : 5903 728 307 107 41 34 22 \n", + "2 : 6021 690 241 98 36 24 32 \n", + "3 : 5897 784 287 96 36 14 28 \n", + "4 : 5969 704 286 102 35 20 26 \n", + "5 : 5979 704 277 86 50 14 32 \n", + "6 : 5953 741 242 122 40 21 23 \n", + "7 : 5970 710 284 99 34 21 24 \n", + "8 : 5964 732 267 97 40 14 28 \n", + "9 : 5996 703 249 108 40 18 28 \n", + "10 : 5995 697 272 85 37 23 33 \n", + "11 : 5950 736 271 98 28 29 30 \n", + "12 : 5996 729 255 93 27 17 25 \n", + "13 : 5903 748 314 99 38 19 33 \n", + "\n", + "T : 83413 10142 3856 1387 524 286 392 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.7292e-03 sec\n", + "--- Collate = 5.4701e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.891659e-06 < 1.562500e-03 [189]\n", + "--- Max DT=6.651917e-01 > 1.000000e-01 [67669]\n", + "----------------------------------------------------------------------\n", + " Component | low: 189/100000\n", + " Component | high: 67669/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=97.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000415898 [ 0.16 %]\n", + "Velocity : 0.00153849 [ 0.60 %]\n", + "Force : 0.0601587 [ 23.41 %]\n", + "Coefs : 0.0298355 [ 11.61 %]\n", + "Output : 0.00175919 [ 0.68 %]\n", + "Levels : 0.000174516 [ 0.07 %]\n", + "Report : 8e-07 [ 0.00 %]\n", + "Balance : 4.05e-07 [ 0.00 %]\n", + "Adjust : 0.162979 [ 63.42 %]\n", + "Total : 0.256993 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5916 733 311 90 38 25 29 \n", + "1 : 5911 720 310 103 48 22 28 \n", + "2 : 6021 688 250 91 40 20 32 \n", + "3 : 5898 789 277 100 35 19 24 \n", + "4 : 5969 697 292 96 36 28 24 \n", + "5 : 5974 713 280 86 43 21 25 \n", + "6 : 5959 738 244 115 42 23 21 \n", + "7 : 5971 714 281 95 35 20 26 \n", + "8 : 5965 737 259 96 40 19 26 \n", + "9 : 5999 699 253 105 33 27 26 \n", + "10 : 5994 699 263 95 35 26 30 \n", + "11 : 5949 740 267 95 38 25 28 \n", + "12 : 5998 720 258 93 30 19 24 \n", + "13 : 5895 757 311 97 36 24 34 \n", + "\n", + "T : 83419 10144 3856 1357 529 318 377 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.7235e-03 sec\n", + "--- Collate = 5.3803e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.835889e-08 < 1.562500e-03 [151]\n", + "--- Max DT=6.705868e-01 > 1.000000e-01 [67690]\n", + "----------------------------------------------------------------------\n", + " Component | low: 151/100000\n", + " Component | high: 67690/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=97.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000440607 [ 0.17 %]\n", + "Velocity : 0.00158173 [ 0.62 %]\n", + "Force : 0.0599987 [ 23.36 %]\n", + "Coefs : 0.0289451 [ 11.27 %]\n", + "Output : 0.00185776 [ 0.72 %]\n", + "Levels : 0.000196195 [ 0.08 %]\n", + "Report : 6.07e-07 [ 0.00 %]\n", + "Balance : 3.66e-07 [ 0.00 %]\n", + "Adjust : 0.163704 [ 63.73 %]\n", + "Total : 0.256862 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5924 732 311 87 28 25 35 \n", + "1 : 5914 715 305 117 45 17 29 \n", + "2 : 6011 703 247 87 40 28 26 \n", + "3 : 5894 804 269 106 28 19 22 \n", + "4 : 5974 697 286 89 43 25 28 \n", + "5 : 5974 718 269 94 39 28 20 \n", + "6 : 5955 733 258 107 41 23 25 \n", + "7 : 5969 710 290 95 34 20 24 \n", + "8 : 5966 727 268 96 36 25 24 \n", + "9 : 5996 695 263 100 32 32 24 \n", + "10 : 5995 692 265 97 36 33 24 \n", + "11 : 5952 739 272 89 41 30 19 \n", + "12 : 5990 727 260 91 30 24 20 \n", + "13 : 5898 753 313 93 41 22 34 \n", + "\n", + "T : 83412 10145 3876 1348 514 351 354 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 9.1103e-03 sec\n", + "--- Collate = 5.6722e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.746138e-06 < 1.562500e-03 [142]\n", + "--- Max DT=6.759883e-01 > 1.000000e-01 [67714]\n", + "----------------------------------------------------------------------\n", + " Component | low: 142/100000\n", + " Component | high: 67714/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=97.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000419179 [ 0.16 %]\n", + "Velocity : 0.00198938 [ 0.75 %]\n", + "Force : 0.0612157 [ 23.19 %]\n", + "Coefs : 0.0289172 [ 10.96 %]\n", + "Output : 0.00271762 [ 1.03 %]\n", + "Levels : 0.000239447 [ 0.09 %]\n", + "Report : 1.168e-06 [ 0.00 %]\n", + "Balance : 5.07e-07 [ 0.00 %]\n", + "Adjust : 0.168283 [ 63.76 %]\n", + "Total : 0.263928 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5922 734 312 88 27 28 31 \n", + "1 : 5914 705 315 115 41 24 28 \n", + "2 : 6007 705 248 88 40 29 25 \n", + "3 : 5897 806 265 100 34 23 17 \n", + "4 : 5974 699 287 87 37 26 32 \n", + "5 : 5969 727 267 95 40 21 23 \n", + "6 : 5956 731 258 110 29 34 24 \n", + "7 : 5964 715 289 106 26 21 21 \n", + "8 : 5966 738 262 91 34 30 21 \n", + "9 : 5993 695 272 95 38 22 27 \n", + "10 : 6004 678 272 99 36 31 22 \n", + "11 : 5957 733 276 89 40 27 20 \n", + "12 : 5994 726 263 89 30 21 19 \n", + "13 : 5894 752 317 100 33 30 28 \n", + "\n", + "T : 83411 10144 3903 1352 485 367 338 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.7284e-03 sec\n", + "--- Collate = 6.1288e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.163408e-05 < 1.562500e-03 [180]\n", + "--- Max DT=6.813954e-01 > 1.000000e-01 [67699]\n", + "----------------------------------------------------------------------\n", + " Component | low: 180/100000\n", + " Component | high: 67699/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=97.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000451419 [ 0.18 %]\n", + "Velocity : 0.00157564 [ 0.63 %]\n", + "Force : 0.0590816 [ 23.70 %]\n", + "Coefs : 0.0287926 [ 11.55 %]\n", + "Output : 0.00182565 [ 0.73 %]\n", + "Levels : 0.00025592 [ 0.10 %]\n", + "Report : 9.98e-07 [ 0.00 %]\n", + "Balance : 5.39e-07 [ 0.00 %]\n", + "Adjust : 0.157229 [ 63.06 %]\n", + "Total : 0.249337 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5922 734 311 89 29 25 32 \n", + "1 : 5905 710 321 120 32 32 22 \n", + "2 : 6009 703 251 89 39 26 25 \n", + "3 : 5898 805 264 100 35 23 17 \n", + "4 : 5971 705 284 87 35 25 35 \n", + "5 : 5971 725 272 96 31 24 23 \n", + "6 : 5953 739 255 100 40 25 30 \n", + "7 : 5968 715 285 100 29 23 22 \n", + "8 : 5956 750 256 94 40 23 23 \n", + "9 : 5995 691 268 101 30 25 32 \n", + "10 : 6001 680 274 98 39 26 24 \n", + "11 : 5960 718 293 93 32 24 22 \n", + "12 : 6000 723 255 92 34 20 18 \n", + "13 : 5890 754 316 107 39 25 23 \n", + "\n", + "T : 83399 10152 3905 1366 484 346 348 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.6974e-03 sec\n", + "--- Collate = 5.2888e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.102956e-05 < 1.562500e-03 [191]\n", + "--- Max DT=6.868084e-01 > 1.000000e-01 [67709]\n", + "----------------------------------------------------------------------\n", + " Component | low: 191/100000\n", + " Component | high: 67709/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=97.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00051595 [ 0.20 %]\n", + "Velocity : 0.00159432 [ 0.62 %]\n", + "Force : 0.0601994 [ 23.49 %]\n", + "Coefs : 0.0286865 [ 11.19 %]\n", + "Output : 0.0022876 [ 0.89 %]\n", + "Levels : 0.000174156 [ 0.07 %]\n", + "Report : 8.39e-07 [ 0.00 %]\n", + "Balance : 4.47e-07 [ 0.00 %]\n", + "Adjust : 0.162726 [ 63.48 %]\n", + "Total : 0.256325 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5921 740 298 92 40 24 27 \n", + "1 : 5907 718 308 119 37 27 26 \n", + "2 : 6003 710 255 85 36 29 24 \n", + "3 : 5903 804 259 101 36 18 21 \n", + "4 : 5972 701 293 81 31 30 34 \n", + "5 : 5968 726 274 100 32 18 24 \n", + "6 : 5949 745 258 97 37 23 33 \n", + "7 : 5962 712 286 102 35 24 21 \n", + "8 : 5956 746 269 91 37 18 25 \n", + "9 : 5993 694 267 103 29 24 32 \n", + "10 : 6005 670 283 103 40 16 25 \n", + "11 : 5965 713 286 98 39 17 24 \n", + "12 : 6000 717 264 90 36 16 19 \n", + "13 : 5896 754 318 102 37 21 26 \n", + "\n", + "T : 83400 10150 3918 1364 502 305 361 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.5501e-03 sec\n", + "--- Collate = 4.9106e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.902591e-06 < 1.562500e-03 [169]\n", + "--- Max DT=6.922272e-01 > 1.000000e-01 [67652]\n", + "----------------------------------------------------------------------\n", + " Component | low: 169/100000\n", + " Component | high: 67652/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=98] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000409471 [ 0.14 %]\n", + "Velocity : 0.00156293 [ 0.53 %]\n", + "Force : 0.0614973 [ 21.01 %]\n", + "Coefs : 0.0290572 [ 9.93 %]\n", + "Output : 0.0333286 [ 11.39 %]\n", + "Levels : 0.000203568 [ 0.07 %]\n", + "Report : 1.356e-06 [ 0.00 %]\n", + "Balance : 7.64e-07 [ 0.00 %]\n", + "Adjust : 0.166514 [ 56.89 %]\n", + "Total : 0.292711 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5918 750 283 105 40 22 24 \n", + "1 : 5908 728 296 122 43 17 28 \n", + "2 : 6002 713 256 81 34 32 24 \n", + "3 : 5898 804 266 102 30 21 21 \n", + "4 : 5977 698 287 85 37 23 35 \n", + "5 : 5965 728 269 107 28 25 20 \n", + "6 : 5949 739 263 97 36 29 29 \n", + "7 : 5961 722 274 107 29 25 24 \n", + "8 : 5948 751 268 93 39 21 22 \n", + "9 : 5991 699 271 92 35 23 31 \n", + "10 : 6001 676 289 93 38 25 20 \n", + "11 : 5957 728 285 87 43 18 24 \n", + "12 : 6001 716 259 97 32 19 18 \n", + "13 : 5897 753 321 104 34 22 23 \n", + "\n", + "T : 83373 10205 3887 1372 498 322 343 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.7274e-03 sec\n", + "--- Collate = 5.6530e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.631555e-06 < 1.562500e-03 [141]\n", + "--- Max DT=6.976516e-01 > 1.000000e-01 [67633]\n", + "----------------------------------------------------------------------\n", + " Component | low: 141/100000\n", + " Component | high: 67633/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=98.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000405526 [ 0.16 %]\n", + "Velocity : 0.00167705 [ 0.67 %]\n", + "Force : 0.0597435 [ 24.02 %]\n", + "Coefs : 0.0288936 [ 11.62 %]\n", + "Output : 0.00157664 [ 0.63 %]\n", + "Levels : 0.00017632 [ 0.07 %]\n", + "Report : 5.92e-07 [ 0.00 %]\n", + "Balance : 3.37e-07 [ 0.00 %]\n", + "Adjust : 0.156121 [ 62.77 %]\n", + "Total : 0.248719 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5915 756 276 107 43 26 19 \n", + "1 : 5910 721 309 110 43 22 27 \n", + "2 : 6002 710 249 92 41 18 30 \n", + "3 : 5903 794 266 105 29 22 23 \n", + "4 : 5975 694 286 89 42 26 30 \n", + "5 : 5970 726 262 104 42 19 19 \n", + "6 : 5950 738 266 91 45 30 22 \n", + "7 : 5961 728 272 103 26 26 26 \n", + "8 : 5959 731 278 92 41 23 18 \n", + "9 : 5993 704 275 76 42 23 29 \n", + "10 : 5998 680 283 92 40 30 19 \n", + "11 : 5958 726 280 98 32 29 19 \n", + "12 : 5995 726 254 94 30 23 20 \n", + "13 : 5901 749 315 108 35 24 22 \n", + "\n", + "T : 83390 10183 3871 1361 531 341 323 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.8066e-03 sec\n", + "--- Collate = 5.6685e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.419136e-07 < 1.562500e-03 [150]\n", + "--- Max DT=7.030813e-01 > 1.000000e-01 [67625]\n", + "----------------------------------------------------------------------\n", + " Component | low: 150/100000\n", + " Component | high: 67625/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=98.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000460397 [ 0.18 %]\n", + "Velocity : 0.00146732 [ 0.58 %]\n", + "Force : 0.0594196 [ 23.55 %]\n", + "Coefs : 0.0291188 [ 11.54 %]\n", + "Output : 0.00159004 [ 0.63 %]\n", + "Levels : 0.000176951 [ 0.07 %]\n", + "Report : 8.95e-07 [ 0.00 %]\n", + "Balance : 4.18e-07 [ 0.00 %]\n", + "Adjust : 0.159994 [ 63.40 %]\n", + "Total : 0.252352 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5915 754 280 103 43 28 19 \n", + "1 : 5909 720 317 103 38 32 23 \n", + "2 : 6002 713 243 99 34 23 28 \n", + "3 : 5907 789 266 99 35 23 23 \n", + "4 : 5975 703 276 96 41 26 25 \n", + "5 : 5964 735 260 105 40 23 15 \n", + "6 : 5955 730 276 83 46 29 23 \n", + "7 : 5965 719 277 98 29 24 30 \n", + "8 : 5957 730 283 94 35 25 18 \n", + "9 : 5989 710 265 82 45 25 26 \n", + "10 : 5998 684 276 93 39 27 25 \n", + "11 : 5954 728 284 95 30 27 24 \n", + "12 : 5995 729 253 92 32 16 25 \n", + "13 : 5904 747 314 105 37 24 23 \n", + "\n", + "T : 83389 10191 3870 1347 524 352 327 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.9204e-03 sec\n", + "--- Collate = 5.2990e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.507693e-06 < 1.562500e-03 [168]\n", + "--- Max DT=7.085162e-01 > 1.000000e-01 [67610]\n", + "----------------------------------------------------------------------\n", + " Component | low: 168/100000\n", + " Component | high: 67610/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=98.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000409181 [ 0.16 %]\n", + "Velocity : 0.00153376 [ 0.58 %]\n", + "Force : 0.0612596 [ 23.27 %]\n", + "Coefs : 0.0290759 [ 11.04 %]\n", + "Output : 0.00193326 [ 0.73 %]\n", + "Levels : 0.000218557 [ 0.08 %]\n", + "Report : 8.65e-07 [ 0.00 %]\n", + "Balance : 3.59e-07 [ 0.00 %]\n", + "Adjust : 0.168691 [ 64.08 %]\n", + "Total : 0.263269 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5917 753 276 108 38 25 25 \n", + "1 : 5905 729 314 98 38 26 32 \n", + "2 : 6007 708 247 99 27 25 29 \n", + "3 : 5907 792 258 104 40 17 24 \n", + "4 : 5971 706 273 99 43 29 21 \n", + "5 : 5970 733 251 115 36 19 18 \n", + "6 : 5955 732 276 82 48 21 28 \n", + "7 : 5970 712 277 97 33 25 28 \n", + "8 : 5962 728 280 91 38 27 16 \n", + "9 : 5991 713 254 101 35 23 25 \n", + "10 : 5999 686 274 95 41 18 29 \n", + "11 : 5948 737 286 95 25 22 29 \n", + "12 : 5997 723 257 95 29 17 24 \n", + "13 : 5906 746 303 113 38 21 27 \n", + "\n", + "T : 83405 10198 3826 1392 509 315 355 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.7440e-03 sec\n", + "--- Collate = 5.3134e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.586416e-06 < 1.562500e-03 [169]\n", + "--- Max DT=7.139568e-01 > 1.000000e-01 [67606]\n", + "----------------------------------------------------------------------\n", + " Component | low: 169/100000\n", + " Component | high: 67606/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=98.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000450645 [ 0.17 %]\n", + "Velocity : 0.00213549 [ 0.80 %]\n", + "Force : 0.0616479 [ 23.22 %]\n", + "Coefs : 0.0290933 [ 10.96 %]\n", + "Output : 0.00180878 [ 0.68 %]\n", + "Levels : 0.000250548 [ 0.09 %]\n", + "Report : 9.11e-07 [ 0.00 %]\n", + "Balance : 3.66e-07 [ 0.00 %]\n", + "Adjust : 0.170012 [ 64.03 %]\n", + "Total : 0.265538 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5914 761 271 103 39 22 32 \n", + "1 : 5903 730 317 95 37 29 31 \n", + "2 : 6008 702 255 92 29 29 27 \n", + "3 : 5906 787 265 106 35 26 17 \n", + "4 : 5969 702 276 99 39 23 34 \n", + "5 : 5967 739 251 114 36 14 21 \n", + "6 : 5956 725 286 77 40 27 31 \n", + "7 : 5966 723 273 99 33 22 26 \n", + "8 : 5962 729 285 86 28 31 21 \n", + "9 : 5987 720 251 98 36 25 25 \n", + "10 : 5998 689 269 97 36 21 32 \n", + "11 : 5949 730 290 99 22 21 31 \n", + "12 : 6001 713 257 102 27 22 20 \n", + "13 : 5902 756 300 109 33 28 26 \n", + "\n", + "T : 83388 10206 3846 1376 470 340 374 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.3274e-03 sec\n", + "--- Collate = 5.1565e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.387084e-06 < 1.562500e-03 [189]\n", + "--- Max DT=7.194035e-01 > 1.000000e-01 [67572]\n", + "----------------------------------------------------------------------\n", + " Component | low: 189/100000\n", + " Component | high: 67572/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=98.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00046025 [ 0.18 %]\n", + "Velocity : 0.00163973 [ 0.63 %]\n", + "Force : 0.0607892 [ 23.23 %]\n", + "Coefs : 0.0295529 [ 11.29 %]\n", + "Output : 0.00182266 [ 0.70 %]\n", + "Levels : 0.00022639 [ 0.09 %]\n", + "Report : 8.91e-07 [ 0.00 %]\n", + "Balance : 3.95e-07 [ 0.00 %]\n", + "Adjust : 0.167026 [ 63.83 %]\n", + "Total : 0.261654 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5916 759 273 99 36 24 35 \n", + "1 : 5909 727 305 97 42 25 37 \n", + "2 : 6012 697 249 95 35 23 31 \n", + "3 : 5907 786 269 102 42 19 17 \n", + "4 : 5973 698 276 101 35 27 32 \n", + "5 : 5972 739 244 118 33 16 20 \n", + "6 : 5957 723 279 88 38 25 32 \n", + "7 : 5966 721 280 93 32 25 25 \n", + "8 : 5967 728 287 80 30 23 27 \n", + "9 : 5980 725 255 97 40 18 27 \n", + "10 : 5995 691 276 94 34 30 22 \n", + "11 : 5945 734 286 104 23 24 26 \n", + "12 : 5997 717 255 98 30 29 16 \n", + "13 : 5902 757 300 103 36 32 24 \n", + "\n", + "T : 83398 10202 3834 1369 486 340 371 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.7684e-03 sec\n", + "--- Collate = 5.1645e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.879933e-06 < 1.562500e-03 [151]\n", + "--- Max DT=7.248563e-01 > 1.000000e-01 [67549]\n", + "----------------------------------------------------------------------\n", + " Component | low: 151/100000\n", + " Component | high: 67549/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=98.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000477411 [ 0.18 %]\n", + "Velocity : 0.00158423 [ 0.60 %]\n", + "Force : 0.0613417 [ 23.32 %]\n", + "Coefs : 0.0307295 [ 11.68 %]\n", + "Output : 0.00254631 [ 0.97 %]\n", + "Levels : 0.000201929 [ 0.08 %]\n", + "Report : 9.24e-07 [ 0.00 %]\n", + "Balance : 2.5e-07 [ 0.00 %]\n", + "Adjust : 0.166066 [ 63.12 %]\n", + "Total : 0.263084 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5924 751 271 93 40 26 37 \n", + "1 : 5903 727 308 104 42 22 36 \n", + "2 : 6009 698 253 99 31 24 28 \n", + "3 : 5911 784 270 102 37 24 14 \n", + "4 : 5976 695 277 104 33 23 34 \n", + "5 : 5972 743 243 116 31 18 19 \n", + "6 : 5948 725 289 90 31 32 27 \n", + "7 : 5964 728 281 88 35 22 24 \n", + "8 : 5967 730 288 74 36 19 28 \n", + "9 : 5976 734 258 88 42 23 21 \n", + "10 : 5994 694 273 98 37 22 24 \n", + "11 : 5947 733 286 101 30 24 21 \n", + "12 : 5991 721 256 97 39 21 17 \n", + "13 : 5905 757 300 95 44 30 23 \n", + "\n", + "T : 83387 10220 3853 1349 508 330 353 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.0588e-03 sec\n", + "--- Collate = 7.0553e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.349145e-05 < 1.562500e-03 [156]\n", + "--- Max DT=7.303146e-01 > 1.000000e-01 [67537]\n", + "----------------------------------------------------------------------\n", + " Component | low: 156/100000\n", + " Component | high: 67537/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=98.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000414147 [ 0.16 %]\n", + "Velocity : 0.00162505 [ 0.64 %]\n", + "Force : 0.0595243 [ 23.35 %]\n", + "Coefs : 0.0292476 [ 11.47 %]\n", + "Output : 0.00197954 [ 0.78 %]\n", + "Levels : 0.0002963 [ 0.12 %]\n", + "Report : 1.048e-06 [ 0.00 %]\n", + "Balance : 6.66e-07 [ 0.00 %]\n", + "Adjust : 0.161725 [ 63.43 %]\n", + "Total : 0.25495 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5930 741 277 90 42 34 28 \n", + "1 : 5901 728 312 92 45 32 32 \n", + "2 : 6014 694 257 90 33 31 23 \n", + "3 : 5917 783 260 104 33 23 22 \n", + "4 : 5970 700 276 106 32 29 29 \n", + "5 : 5965 747 250 103 39 21 17 \n", + "6 : 5946 725 291 87 41 24 28 \n", + "7 : 5970 711 286 89 43 21 22 \n", + "8 : 5966 723 294 78 35 19 27 \n", + "9 : 5977 732 263 81 33 34 22 \n", + "10 : 5990 699 278 89 36 29 21 \n", + "11 : 5945 734 287 104 31 28 13 \n", + "12 : 5998 715 252 97 44 19 17 \n", + "13 : 5907 750 301 99 45 27 25 \n", + "\n", + "T : 83396 10182 3884 1309 532 371 326 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.6832e-03 sec\n", + "--- Collate = 5.7289e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.084447e-05 < 1.562500e-03 [157]\n", + "--- Max DT=7.357782e-01 > 1.000000e-01 [67522]\n", + "----------------------------------------------------------------------\n", + " Component | low: 157/100000\n", + " Component | high: 67522/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=98.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000543399 [ 0.21 %]\n", + "Velocity : 0.00168075 [ 0.65 %]\n", + "Force : 0.0604921 [ 23.49 %]\n", + "Coefs : 0.0298792 [ 11.60 %]\n", + "Output : 0.00192331 [ 0.75 %]\n", + "Levels : 0.000184017 [ 0.07 %]\n", + "Report : 8.67e-07 [ 0.00 %]\n", + "Balance : 3.42e-07 [ 0.00 %]\n", + "Adjust : 0.162731 [ 63.18 %]\n", + "Total : 0.257567 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5926 742 277 92 42 36 27 \n", + "1 : 5902 724 307 106 42 27 34 \n", + "2 : 6011 703 251 93 36 19 29 \n", + "3 : 5919 786 260 98 28 28 23 \n", + "4 : 5971 704 269 104 39 23 32 \n", + "5 : 5967 747 259 97 36 19 17 \n", + "6 : 5953 720 290 88 38 25 28 \n", + "7 : 5974 716 284 87 30 29 22 \n", + "8 : 5968 713 301 77 30 25 28 \n", + "9 : 5979 729 258 91 27 26 32 \n", + "10 : 5991 696 283 83 42 23 24 \n", + "11 : 5948 726 294 104 36 19 15 \n", + "12 : 6000 711 257 95 43 17 19 \n", + "13 : 5909 749 290 106 50 24 26 \n", + "\n", + "T : 83418 10166 3880 1321 519 340 356 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.4924e-03 sec\n", + "--- Collate = 5.4682e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.102770e-06 < 1.562500e-03 [178]\n", + "--- Max DT=7.412471e-01 > 1.000000e-01 [67497]\n", + "----------------------------------------------------------------------\n", + " Component | low: 178/100000\n", + " Component | high: 67497/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=98.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000465816 [ 0.18 %]\n", + "Velocity : 0.00152066 [ 0.60 %]\n", + "Force : 0.0600544 [ 23.75 %]\n", + "Coefs : 0.0297762 [ 11.78 %]\n", + "Output : 0.00165265 [ 0.65 %]\n", + "Levels : 0.00016653 [ 0.07 %]\n", + "Report : 8.02e-07 [ 0.00 %]\n", + "Balance : 3.99e-07 [ 0.00 %]\n", + "Adjust : 0.159065 [ 62.91 %]\n", + "Total : 0.252844 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5919 744 275 96 51 30 27 \n", + "1 : 5902 724 309 106 46 21 34 \n", + "2 : 6006 710 248 91 42 18 27 \n", + "3 : 5922 781 260 93 35 20 31 \n", + "4 : 5967 706 274 99 42 30 24 \n", + "5 : 5972 745 262 92 34 15 22 \n", + "6 : 5950 722 287 94 38 22 29 \n", + "7 : 5978 709 288 83 36 27 21 \n", + "8 : 5964 719 296 80 27 25 31 \n", + "9 : 5981 729 260 85 27 22 38 \n", + "10 : 5994 696 283 93 26 30 20 \n", + "11 : 5947 731 287 110 29 21 17 \n", + "12 : 6001 714 254 95 41 16 21 \n", + "13 : 5913 744 296 106 45 22 28 \n", + "\n", + "T : 83416 10174 3879 1323 519 319 370 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.5027e-03 sec\n", + "--- Collate = 5.0222e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.542756e-06 < 1.562500e-03 [157]\n", + "--- Max DT=7.467218e-01 > 1.000000e-01 [67478]\n", + "----------------------------------------------------------------------\n", + " Component | low: 157/100000\n", + " Component | high: 67478/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=99] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000396622 [ 0.14 %]\n", + "Velocity : 0.00145846 [ 0.51 %]\n", + "Force : 0.0594183 [ 20.97 %]\n", + "Coefs : 0.0295527 [ 10.43 %]\n", + "Output : 0.0359891 [ 12.70 %]\n", + "Levels : 0.000198671 [ 0.07 %]\n", + "Report : 1.304e-06 [ 0.00 %]\n", + "Balance : 5.34e-07 [ 0.00 %]\n", + "Adjust : 0.156197 [ 55.13 %]\n", + "Total : 0.283345 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5917 744 281 98 44 32 26 \n", + "1 : 5903 722 316 106 40 22 33 \n", + "2 : 6010 708 244 87 49 18 26 \n", + "3 : 5912 791 261 97 30 23 28 \n", + "4 : 5965 711 268 94 52 30 22 \n", + "5 : 5971 749 254 97 30 21 20 \n", + "6 : 5953 717 286 98 36 29 23 \n", + "7 : 5980 706 278 90 37 26 25 \n", + "8 : 5963 727 283 84 38 19 28 \n", + "9 : 5988 716 268 89 24 19 38 \n", + "10 : 5993 703 271 101 26 23 25 \n", + "11 : 5943 726 293 111 27 22 20 \n", + "12 : 5998 720 257 92 36 21 18 \n", + "13 : 5918 746 285 109 46 19 31 \n", + "\n", + "T : 83414 10186 3845 1353 515 324 363 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.9245e-03 sec\n", + "--- Collate = 5.5030e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.273328e-05 < 1.562500e-03 [162]\n", + "--- Max DT=7.522022e-01 > 1.000000e-01 [67467]\n", + "----------------------------------------------------------------------\n", + " Component | low: 162/100000\n", + " Component | high: 67467/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=99.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000448628 [ 0.17 %]\n", + "Velocity : 0.00194917 [ 0.73 %]\n", + "Force : 0.0627374 [ 23.47 %]\n", + "Coefs : 0.0326175 [ 12.20 %]\n", + "Output : 0.00215418 [ 0.81 %]\n", + "Levels : 0.000249768 [ 0.09 %]\n", + "Report : 7.28e-07 [ 0.00 %]\n", + "Balance : 3.83e-07 [ 0.00 %]\n", + "Adjust : 0.167045 [ 62.48 %]\n", + "Total : 0.267338 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5919 748 272 105 42 26 30 \n", + "1 : 5912 709 317 112 41 22 29 \n", + "2 : 6008 716 240 88 39 27 24 \n", + "3 : 5920 781 271 86 35 22 27 \n", + "4 : 5972 706 260 105 42 36 21 \n", + "5 : 5972 755 252 92 24 20 27 \n", + "6 : 5954 718 285 97 37 26 25 \n", + "7 : 5974 713 273 95 30 33 24 \n", + "8 : 5971 714 285 89 33 28 22 \n", + "9 : 5991 710 269 94 30 17 31 \n", + "10 : 5992 703 268 96 32 28 23 \n", + "11 : 5944 730 290 102 33 23 20 \n", + "12 : 5994 729 246 98 31 25 19 \n", + "13 : 5917 747 284 111 45 23 27 \n", + "\n", + "T : 83440 10179 3812 1370 494 356 349 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.5439e-03 sec\n", + "--- Collate = 5.2387e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.086968e-07 < 1.562500e-03 [160]\n", + "--- Max DT=7.576880e-01 > 1.000000e-01 [67476]\n", + "----------------------------------------------------------------------\n", + " Component | low: 160/100000\n", + " Component | high: 67476/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=99.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000778555 [ 0.31 %]\n", + "Velocity : 0.00195076 [ 0.78 %]\n", + "Force : 0.0592919 [ 23.80 %]\n", + "Coefs : 0.0282927 [ 11.36 %]\n", + "Output : 0.00154363 [ 0.62 %]\n", + "Levels : 0.000194033 [ 0.08 %]\n", + "Report : 8.85e-07 [ 0.00 %]\n", + "Balance : 4.31e-07 [ 0.00 %]\n", + "Adjust : 0.156903 [ 62.99 %]\n", + "Total : 0.249092 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5927 738 272 98 55 22 30 \n", + "1 : 5909 709 314 112 46 26 26 \n", + "2 : 6013 713 233 99 27 32 25 \n", + "3 : 5918 777 278 84 35 25 25 \n", + "4 : 5972 703 264 100 48 29 26 \n", + "5 : 5976 749 258 81 34 24 20 \n", + "6 : 5955 716 287 93 42 28 21 \n", + "7 : 5973 715 274 90 40 18 32 \n", + "8 : 5970 710 294 89 36 22 21 \n", + "9 : 5995 703 270 102 32 25 15 \n", + "10 : 5994 701 275 87 33 24 28 \n", + "11 : 5944 727 297 101 28 22 23 \n", + "12 : 5988 729 248 102 30 22 23 \n", + "13 : 5921 742 290 109 36 28 28 \n", + "\n", + "T : 83455 10132 3854 1347 522 347 343 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.6183e-03 sec\n", + "--- Collate = 5.4960e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.303625e-06 < 1.562500e-03 [168]\n", + "--- Max DT=7.631794e-01 > 1.000000e-01 [67459]\n", + "----------------------------------------------------------------------\n", + " Component | low: 168/100000\n", + " Component | high: 67459/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=99.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000412247 [ 0.16 %]\n", + "Velocity : 0.00151959 [ 0.60 %]\n", + "Force : 0.0593782 [ 23.31 %]\n", + "Coefs : 0.028916 [ 11.35 %]\n", + "Output : 0.00176565 [ 0.69 %]\n", + "Levels : 0.000198598 [ 0.08 %]\n", + "Report : 8.34e-07 [ 0.00 %]\n", + "Balance : 3.22e-07 [ 0.00 %]\n", + "Adjust : 0.162352 [ 63.75 %]\n", + "Total : 0.254682 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5924 738 276 93 52 34 25 \n", + "1 : 5914 702 319 109 49 23 26 \n", + "2 : 6009 713 239 91 34 26 30 \n", + "3 : 5916 783 276 79 43 21 24 \n", + "4 : 5971 703 266 96 45 30 31 \n", + "5 : 5974 754 253 83 36 19 23 \n", + "6 : 5954 716 288 98 42 21 23 \n", + "7 : 5972 716 278 85 40 26 25 \n", + "8 : 5967 707 301 88 37 22 20 \n", + "9 : 5986 709 283 94 35 22 13 \n", + "10 : 5995 700 276 88 33 21 29 \n", + "11 : 5949 719 308 93 28 23 22 \n", + "12 : 5987 730 253 98 26 21 27 \n", + "13 : 5920 745 288 112 31 31 27 \n", + "\n", + "T : 83438 10135 3904 1307 531 340 345 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.9458e-03 sec\n", + "--- Collate = 7.1485e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.685066e-06 < 1.562500e-03 [162]\n", + "--- Max DT=7.686761e-01 > 1.000000e-01 [67431]\n", + "----------------------------------------------------------------------\n", + " Component | low: 162/100000\n", + " Component | high: 67431/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=99.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000466064 [ 0.19 %]\n", + "Velocity : 0.00163876 [ 0.65 %]\n", + "Force : 0.0598171 [ 23.77 %]\n", + "Coefs : 0.0288133 [ 11.45 %]\n", + "Output : 0.00180265 [ 0.72 %]\n", + "Levels : 0.000233523 [ 0.09 %]\n", + "Report : 1.129e-06 [ 0.00 %]\n", + "Balance : 5.72e-07 [ 0.00 %]\n", + "Adjust : 0.158725 [ 63.08 %]\n", + "Total : 0.251639 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5918 734 284 96 49 36 25 \n", + "1 : 5913 704 317 111 51 21 25 \n", + "2 : 6006 715 240 89 34 25 33 \n", + "3 : 5913 784 276 81 41 24 23 \n", + "4 : 5975 691 272 98 46 27 33 \n", + "5 : 5973 753 249 93 31 26 17 \n", + "6 : 5956 706 299 98 41 21 21 \n", + "7 : 5974 716 275 80 41 32 24 \n", + "8 : 5967 711 301 91 28 19 25 \n", + "9 : 5983 710 289 93 36 14 17 \n", + "10 : 5991 706 274 96 26 24 25 \n", + "11 : 5953 717 309 83 29 26 25 \n", + "12 : 5997 717 255 91 36 19 27 \n", + "13 : 5926 742 285 108 41 23 29 \n", + "\n", + "T : 83445 10106 3925 1308 530 337 349 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 9.1666e-03 sec\n", + "--- Collate = 6.6355e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.133885e-07 < 1.562500e-03 [144]\n", + "--- Max DT=7.741781e-01 > 1.000000e-01 [67401]\n", + "----------------------------------------------------------------------\n", + " Component | low: 144/100000\n", + " Component | high: 67401/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=99.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000572052 [ 0.22 %]\n", + "Velocity : 0.00195161 [ 0.75 %]\n", + "Force : 0.0619364 [ 23.72 %]\n", + "Coefs : 0.0290775 [ 11.14 %]\n", + "Output : 0.00214383 [ 0.82 %]\n", + "Levels : 0.000277887 [ 0.11 %]\n", + "Report : 1.078e-06 [ 0.00 %]\n", + "Balance : 5.49e-07 [ 0.00 %]\n", + "Adjust : 0.164979 [ 63.19 %]\n", + "Total : 0.261094 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5921 716 297 101 49 26 32 \n", + "1 : 5912 708 317 103 54 21 27 \n", + "2 : 6009 716 241 85 33 25 33 \n", + "3 : 5912 789 268 90 33 26 24 \n", + "4 : 5979 685 270 104 38 34 32 \n", + "5 : 5977 746 247 100 35 12 25 \n", + "6 : 5954 708 295 106 36 21 22 \n", + "7 : 5971 720 268 87 42 30 24 \n", + "8 : 5969 704 304 91 31 16 27 \n", + "9 : 5981 715 287 87 34 25 13 \n", + "10 : 5994 698 279 94 28 26 23 \n", + "11 : 5957 712 303 97 20 26 27 \n", + "12 : 5991 722 253 86 47 19 24 \n", + "13 : 5930 735 291 104 43 26 25 \n", + "\n", + "T : 83457 10074 3920 1335 523 333 358 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.5716e-03 sec\n", + "--- Collate = 5.2144e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.526837e-06 < 1.562500e-03 [173]\n", + "--- Max DT=7.796859e-01 > 1.000000e-01 [67406]\n", + "----------------------------------------------------------------------\n", + " Component | low: 173/100000\n", + " Component | high: 67406/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=99.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000554176 [ 0.22 %]\n", + "Velocity : 0.00156643 [ 0.61 %]\n", + "Force : 0.060254 [ 23.48 %]\n", + "Coefs : 0.0295549 [ 11.52 %]\n", + "Output : 0.00147122 [ 0.57 %]\n", + "Levels : 0.00019776 [ 0.08 %]\n", + "Report : 9.31e-07 [ 0.00 %]\n", + "Balance : 4.11e-07 [ 0.00 %]\n", + "Adjust : 0.162938 [ 63.48 %]\n", + "Total : 0.256664 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5918 723 298 95 40 28 40 \n", + "1 : 5915 705 312 101 55 30 24 \n", + "2 : 6007 715 255 73 34 30 28 \n", + "3 : 5914 785 269 96 26 25 27 \n", + "4 : 5975 684 281 102 41 25 34 \n", + "5 : 5976 738 261 96 36 13 22 \n", + "6 : 5962 699 297 108 29 23 24 \n", + "7 : 5968 714 276 91 40 21 32 \n", + "8 : 5969 704 303 89 32 21 24 \n", + "9 : 5989 704 289 88 33 20 19 \n", + "10 : 5994 691 286 92 35 19 25 \n", + "11 : 5963 708 296 92 36 20 27 \n", + "12 : 5984 733 249 85 45 27 19 \n", + "13 : 5927 734 302 101 40 27 23 \n", + "\n", + "T : 83461 10037 3974 1309 522 329 368 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.6907e-03 sec\n", + "--- Collate = 5.2792e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.628782e-06 < 1.562500e-03 [191]\n", + "--- Max DT=7.851993e-01 > 1.000000e-01 [67398]\n", + "----------------------------------------------------------------------\n", + " Component | low: 191/100000\n", + " Component | high: 67398/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=99.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000448029 [ 0.17 %]\n", + "Velocity : 0.00153266 [ 0.58 %]\n", + "Force : 0.0613614 [ 23.14 %]\n", + "Coefs : 0.030445 [ 11.48 %]\n", + "Output : 0.00195732 [ 0.74 %]\n", + "Levels : 0.000219759 [ 0.08 %]\n", + "Report : 9.38e-07 [ 0.00 %]\n", + "Balance : 4.03e-07 [ 0.00 %]\n", + "Adjust : 0.169021 [ 63.75 %]\n", + "Total : 0.265131 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5923 720 291 99 41 26 42 \n", + "1 : 5914 701 319 103 45 37 23 \n", + "2 : 6019 702 257 72 37 26 29 \n", + "3 : 5907 790 259 104 35 15 32 \n", + "4 : 5982 676 286 100 44 20 34 \n", + "5 : 5985 728 255 98 35 19 22 \n", + "6 : 5962 705 296 97 34 23 25 \n", + "7 : 5965 719 274 91 38 24 31 \n", + "8 : 5965 711 303 84 31 24 24 \n", + "9 : 5987 708 291 82 32 20 22 \n", + "10 : 5996 695 275 98 32 22 24 \n", + "11 : 5974 696 293 92 35 30 22 \n", + "12 : 5987 728 249 93 37 29 19 \n", + "13 : 5929 732 298 108 33 26 28 \n", + "\n", + "T : 83495 10011 3946 1321 509 341 377 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.9250e-03 sec\n", + "--- Collate = 6.7877e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.445159e-07 < 1.562500e-03 [173]\n", + "--- Max DT=7.907186e-01 > 1.000000e-01 [67374]\n", + "----------------------------------------------------------------------\n", + " Component | low: 173/100000\n", + " Component | high: 67374/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=99.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000544354 [ 0.20 %]\n", + "Velocity : 0.00202758 [ 0.73 %]\n", + "Force : 0.0633513 [ 22.95 %]\n", + "Coefs : 0.0309377 [ 11.21 %]\n", + "Output : 0.00278907 [ 1.01 %]\n", + "Levels : 0.000328937 [ 0.12 %]\n", + "Report : 1.286e-06 [ 0.00 %]\n", + "Balance : 7.59e-07 [ 0.00 %]\n", + "Adjust : 0.175919 [ 63.72 %]\n", + "Total : 0.276075 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5917 728 288 108 33 35 33 \n", + "1 : 5913 701 320 102 48 29 29 \n", + "2 : 6016 701 252 82 40 22 29 \n", + "3 : 5908 789 260 108 28 23 26 \n", + "4 : 5989 665 287 113 38 22 28 \n", + "5 : 5983 726 260 96 36 23 18 \n", + "6 : 5965 709 282 100 40 20 26 \n", + "7 : 5970 712 276 92 37 21 34 \n", + "8 : 5968 709 298 86 32 26 23 \n", + "9 : 5983 706 292 86 29 20 26 \n", + "10 : 6001 689 273 94 41 20 24 \n", + "11 : 5975 690 292 99 34 33 19 \n", + "12 : 5994 722 246 93 41 21 25 \n", + "13 : 5937 725 298 108 27 31 28 \n", + "\n", + "T : 83519 9972 3924 1367 504 346 368 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.6052e-03 sec\n", + "--- Collate = 5.5735e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.477627e-06 < 1.562500e-03 [165]\n", + "--- Max DT=7.962440e-01 > 1.000000e-01 [67360]\n", + "----------------------------------------------------------------------\n", + " Component | low: 165/100000\n", + " Component | high: 67360/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=99.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000630672 [ 0.23 %]\n", + "Velocity : 0.00201262 [ 0.75 %]\n", + "Force : 0.0630153 [ 23.46 %]\n", + "Coefs : 0.0295782 [ 11.01 %]\n", + "Output : 0.00273112 [ 1.02 %]\n", + "Levels : 0.000230971 [ 0.09 %]\n", + "Report : 1.046e-06 [ 0.00 %]\n", + "Balance : 6.81e-07 [ 0.00 %]\n", + "Adjust : 0.170214 [ 63.37 %]\n", + "Total : 0.268592 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5914 736 286 101 38 37 30 \n", + "1 : 5910 708 316 108 45 27 28 \n", + "2 : 6018 708 242 84 33 33 24 \n", + "3 : 5907 783 271 100 31 29 21 \n", + "4 : 5987 674 277 115 42 25 22 \n", + "5 : 5989 717 266 96 37 19 18 \n", + "6 : 5966 706 285 99 36 27 23 \n", + "7 : 5967 721 268 99 31 28 28 \n", + "8 : 5963 710 300 85 37 21 26 \n", + "9 : 5981 709 289 87 27 22 27 \n", + "10 : 6002 687 275 95 41 20 22 \n", + "11 : 5977 683 298 98 37 25 24 \n", + "12 : 5999 710 260 86 40 23 24 \n", + "13 : 5937 722 301 105 36 16 37 \n", + "\n", + "T : 83517 9974 3934 1358 511 352 354 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.5532e-03 sec\n", + "--- Collate = 4.7864e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.054219e-06 < 1.562500e-03 [160]\n", + "--- Max DT=8.017753e-01 > 1.000000e-01 [67330]\n", + "----------------------------------------------------------------------\n", + " Component | low: 160/100000\n", + " Component | high: 67330/100000\n", + "----------------------------------------------------------------------\n", + "OutCHKPT::Run(): error unlinking old backup file , it may not exist\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=100] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000435649 [ 0.09 %]\n", + "Velocity : 0.00160203 [ 0.33 %]\n", + "Force : 0.0619922 [ 12.82 %]\n", + "Coefs : 0.0302232 [ 6.25 %]\n", + "Output : 0.218565 [ 45.19 %]\n", + "Levels : 0.000220704 [ 0.05 %]\n", + "Report : 1.259e-06 [ 0.00 %]\n", + "Balance : 9.06e-07 [ 0.00 %]\n", + "Adjust : 0.170514 [ 35.25 %]\n", + "Total : 0.483706 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5921 731 279 108 46 33 24 \n", + "1 : 5914 709 311 112 40 31 25 \n", + "2 : 6023 701 247 84 32 28 27 \n", + "3 : 5905 780 279 96 37 20 25 \n", + "4 : 5984 673 283 116 42 24 20 \n", + "5 : 5989 709 276 95 33 17 23 \n", + "6 : 5972 701 287 97 39 21 25 \n", + "7 : 5966 717 274 94 45 18 28 \n", + "8 : 5968 709 295 87 34 18 31 \n", + "9 : 5978 713 290 84 29 23 25 \n", + "10 : 6003 686 280 94 37 20 22 \n", + "11 : 5979 675 293 107 37 28 23 \n", + "12 : 6005 705 259 84 33 34 22 \n", + "13 : 5942 718 300 107 33 25 29 \n", + "\n", + "T : 83549 9927 3953 1365 517 340 349 [100000]\n", + "----------------------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Process 0 on raven pid=330819 ROOT NODE\t Exiting EXP\n", + "Process 1 on raven pid=330820 rank in WORKER: 1\t Exiting EXP\n", + "Process 2 on raven pid=330821 rank in WORKER: 2\t Exiting EXP\n", + "Process 3 on raven pid=330822 rank in WORKER: 3\t Exiting EXP\n", + "Process 4 on raven pid=330823 rank in WORKER: 4\t Exiting EXP\n", + "Process 5 on raven pid=330824 rank in WORKER: 5\t Exiting EXP\n", + "Process 6 on raven pid=330825 rank in WORKER: 6\t Exiting EXP\n", + "Process 7 on raven pid=330826 rank in WORKER: 7\t Exiting EXP\n", + "Process 8 on raven pid=330828 rank in WORKER: 8\t Exiting EXP\n", + "Process 9 on raven pid=330830 rank in WORKER: 9\t Exiting EXP\n", + "Process 10 on raven pid=330833 rank in WORKER: 10\t Exiting EXP\n", + "Process 11 on raven pid=330836 rank in WORKER: 11\t Exiting EXP\n", + "Process 12 on raven pid=330837 rank in WORKER: 12\t Exiting EXP\n", + "Process 13 on raven pid=330842 rank in WORKER: 13\t Exiting EXP\n", + "----------------------------------------------------------------------\n", + "\n", + "CPU times: user 9.2 s, sys: 1.75 s, total: 11 s\n", + "Wall time: 5min 22s\n" + ] + } + ], + "source": [ + "%%time\n", + "! rm data/*\n", + "! mpirun exp config_vels.yml" + ] + }, + { + "cell_type": "markdown", + "id": "3a798b7d", + "metadata": {}, + "source": [ + "### Configure the basis and read coefficients" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "62194652", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "---- EmpCyl2d::ModelCyl: Making a double-tapered Zang with Mouter: 5.0\n", + "Ninner: 4.0\n", + "Ri: 1.0\n", + "Ro: 11.5\n", + "vrot: 1.0\n", + "---- EmpCyl2d::Basis2d: Making a finite Bessel basis\n", + "---- EmpCyl2d::ReadH5Cache: recomputing cache for HighFive API change\n", + "---- EmpCyl2d::WriteH5Cache: wrote <.eof_cache_2d>\n", + "---- FlatDisk::orthoTest: worst=3.48048e-08\n", + "FieldBasis::orthoTest: worst=1.07436e-15\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "---- BiorthCyl::ReadH5Cache: read <./eof_cache_2d.50>\n" + ] + } + ], + "source": [ + "# Get the basis config\n", + "#\n", + "stream = open('config_vels.yml', 'r')\n", + "config = yaml.full_load(stream)\n", + "# del config['Components'][0]['force']['parameters']['NO_MONO']\n", + "disk_config = yaml.dump(config['Components'][0]['force'])\n", + "# print(disk_config)\n", + "\n", + "runtag = config['Global']['runtag']\n", + "\n", + "# Get the coefficient files\n", + "for v in config['Output']:\n", + " if v['id'] == 'outcoef':\n", + " coeffile = v['parameters']['filename']\n", + " if v['id'] == 'outvel':\n", + " vel_config = v\n", + " \n", + "velcoef = 'velcoef.disk.' + config['Global']['runtag']\n", + " \n", + "# Move to the data directory\n", + "os.chdir('data')\n", + "\n", + "# Construct the basis instance\n", + "#\n", + "disk_basis = pyEXP.basis.Basis.factory(disk_config)\n", + "\n", + "vel_config = \"\"\"\n", + "id : velocity\n", + "parameters :\n", + " dof : 2\n", + " numr : 2000\n", + " rmin : 0.01\n", + " rmax : 50.0\n", + " mmax : 2\n", + " nmax : 4\n", + " rmapping : 1.0\n", + " modelname : ../density.model\n", + " cachename : density.cache\n", + "\"\"\"\n", + "\n", + "vel_basis = pyEXP.basis.Basis.factory(vel_config)\n", + "\n", + "# Restore working directory\n", + "#\n", + "os.chdir('..')" + ] + }, + { + "cell_type": "markdown", + "id": "d51a62ec", + "metadata": {}, + "source": [ + "### Read the coefficients\n", + "This is a HDF5 file previously computed using the `make_coefficients_MPI.py` script. You simply need to point `coeffile` at some coefficient file. In this notebook, we will make a copy of the originaly coefficient set 'coefs0' to get a working copy 'coefs' that will be used for MSSA updates." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "3feaac21", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "coeffile1 = 'data/outcoef.disk.run0'\n", + "coefs0 = pyEXP.coefs.Coefs.factory(coeffile1, 10)\n", + "coefs = coefs0.deepcopy()\n", + "\n", + "vcoeffile = 'data/velcoef.disk.run0'\n", + "vcoefs0 = pyEXP.coefs.Coefs.factory(vcoeffile, 10)\n", + "vcoefs = vcoefs0.deepcopy()" + ] + }, + { + "cell_type": "markdown", + "id": "3731c3e9", + "metadata": {}, + "source": [ + "## Plot the gravitational power" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "5dcc61ea", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "pow = coefs.Power()\n", + "plt.rcParams.update({'font.size': 18})\n", + "plt.semilogy(coefs.Times(), pow[:,1], label='m=1')\n", + "plt.semilogy(coefs.Times(), pow[:,2], label='m=2')\n", + "plt.semilogy(coefs.Times(), pow[:,3], label='m=3')\n", + "plt.semilogy(coefs.Times(), pow[:,4], label='m=4')\n", + "plt.legend()\n", + "plt.xlabel('Time')\n", + "plt.ylabel('Power')\n", + "plt.title(r'Cold-disk instability for $\\nu=2$, $\\mu=2$, $R_i=1$, $R_o=20$, $\\sigma=0.4$')\n", + "plt.show()\n", + "\n", + "plt.plot(coefs.Times(), pow[:,1], label='m=1')\n", + "plt.plot(coefs.Times(), pow[:,2], label='m=2')\n", + "plt.plot(coefs.Times(), pow[:,3], label='m=3')\n", + "plt.plot(coefs.Times(), pow[:,4], label='m=4')\n", + "plt.legend()\n", + "plt.xlabel('Time')\n", + "plt.ylabel('Power')\n", + "plt.title(r'Cold-disk instability for $\\nu=2$, $\\mu=2$, $R_i=1$, $R_o=20$, $\\sigma=0.4$')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "75d62f76", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[ 0. +0.j 0. +0.j 0. +0.j\n", + " 0. +0.j 0. +0.j 0. +0.j ]\n", + " [ 0. +0.j 0. +0.j 0. +0.j\n", + " 0. +0.j 0. +0.j 0. +0.j ]\n", + " [-0.0003915 +0.01064394j 0.00036533+0.00130092j 0.00497454+0.00339369j\n", + " -0.00906725-0.00216276j -0.00071643+0.00319047j 0.004525 +0.00181108j]\n", + " [ 0. +0.j 0. +0.j 0. +0.j\n", + " 0. +0.j 0. +0.j 0. +0.j ]\n", + " [ 0. +0.j 0. +0.j 0. +0.j\n", + " 0. +0.j 0. +0.j 0. +0.j ]]\n" + ] + } + ], + "source": [ + "# Restricting non-zero coefficients to m=2\n", + "\n", + "if False:\n", + " for T in coefs.Times():\n", + " data = coefs(T)\n", + " for m in range(data.shape[0]):\n", + " if m != 2: data[m, :] *= 0.0\n", + " coefs.setMatrix(T, data)\n", + "else: # an alternative construction\n", + " for T in coefs.Times():\n", + " test = np.zeros(coefs(T).shape, dtype='complex128')\n", + " test[2, :] = coefs(T)[2, :]\n", + " coefs.setMatrix(T, test)\n", + "\n", + "print(coefs(0.0))" + ] + }, + { + "cell_type": "markdown", + "id": "32206280", + "metadata": {}, + "source": [ + "## Plot some density slices" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "85b59f99", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Created fields instance\n" + ] + } + ], + "source": [ + "times = coefs.Times()\n", + "rmax = 10\n", + "ngrd = 100\n", + "pmin = [ -rmax, -rmax, 0.0]\n", + "pmax = [ rmax, rmax, 0.0]\n", + "grid = [ ngrd, ngrd, 0]\n", + "\n", + "fields = pyEXP.field.FieldGenerator(times, pmin, pmax, grid)\n", + "\n", + "print('Created fields instance')\n", + "\n", + "surfaces = fields.slices(disk_basis, coefs)" + ] + }, + { + "cell_type": "markdown", + "id": "58779eaa", + "metadata": {}, + "source": [ + "### Get density min and max for level surface scaling" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "eb51b9ea", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "-0.011152893 0.011152893\n" + ] + } + ], + "source": [ + "dmin = 1e20\n", + "dmax = -1e20\n", + "for time in coefs.Times():\n", + " dmin = min(dmin, np.min(surfaces[time]['dens']))\n", + " dmax = max(dmax, np.max(surfaces[time]['dens']))\n", + "print(dmin, dmax)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "33b89bb5", + "metadata": {}, + "outputs": [], + "source": [ + "# Get the shape\n", + "keys = list(surfaces.keys())\n", + "nx = surfaces[keys[0]]['dens'].shape[0]\n", + "ny = surfaces[keys[0]]['dens'].shape[1]\n", + "\n", + "# Make the mesh\n", + "x = np.linspace(-rmax, rmax, nx)\n", + "y = np.linspace(-rmax, rmax, ny)\n", + "xv, yv = np.meshgrid(x, y)\n", + "\n", + "plt.rcParams.update({'font.size': 22})" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "2c678b37", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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JgTa33377Bb8GK/pEaEtLSwuMp9dff/2CzlXzyrqHH344OAUC52DFmPN4PGZKSkqg36eeeuq0Nrt27TKTkpICbZYsWdIotaHlOXbsmJmQkGD+6U9/Mo8ePXrWdo8//nhgvEVERJh79uy5oH6Zz3GhnnnmmcAY6t27t5mVlXVam1/84henXEXaHPtEaPvBD35gjhkzxvzoo49Mn893xjYHDhwwe/ToEZSr6kzz1CvrgMbS2OOO+RxN1fz58wPjrkePHhd0LuZzBNOjjz5q/vrXvzbffPNNc9++faZpmuaLL75Y5yulT5w4YcbExJiSTJvNZi5cuPC0NqtWrTKjoqJMSWZYWJi5c+fOC6rdij4BIFj4f3GcUX1C6dzc3MBSbE6n0zxy5MgZ2xUXF5vt2rUzpeqlj3fs2FHvOq3oE6Ft/fr1gX8b8fHxZnl5+QWdjxADjc2KMffvf/870Oe111571nZvvfVWoN3QoUMbpTa0PJWVlad9Qe1srr/++qD9e2A+x4Xwer2Bv1UlmV9++eVZ26Wnpwfaffjhh82qTyA3N7dW7TZt2hQYc1FRUYEvT9cHIQas0JjjjvkcTdk111wTGHN//vOfL+hczOdoaPUJpX/1q18Fjrn33nvP2u7JJ58MtPvud797QXVa0ScABIvt7NdQA3WzcOHCwFJskydPVocOHc7YzuVyafr06ZIk0zQ1d+7cZtUnQtusWbMC27fddpucTqeF1QDNw5w5cwLb991331nbXX/99UpJSZEkrVq1SgcPHmzo0tAChYeHy+Vy1art5MmTA9sZGRkNVRJwXsuXL9exY8ckSSNGjNCAAQPO2M5ut+snP/lJ4PHJ24k0lz6BVq1a1apdWlqaevToIUkqKyvT3r17G7IsoFljPkdTdezYMS1atEiSFBYWpjvvvNPiioDgq/kZ889//vOztps+fbqio6MlSe+88069bptpZZ8AECyE0giak39oStL48ePP2bbm/prHNYc+Ebo8Hs8pb9ynTZtmYTVA81BcXKwVK1ZIktxut4YPH37WtjabTePGjQs8Zq5GQ4uJiQls8wYdVqrL37RXX331GY9rDn0CdcEcDdQO8zmaqpdffjlw394JEyYoKSnJ4oqA4Nq+fXvgy/S9evVSamrqWdvW/DyktLRUn332WbPpEwCCiVAaQbNly5bA9uDBg8/ZdsCAAbLb7ZKkrVu3yjTNZtMnQtf8+fNVUFAgqXo8paenB/X8b731ltLT0xUTEyOn06n27dtrzJgx+utf/6q8vLyg9gVIjTPmtm/fLr/fL0m6+OKLA/Pw2dScy2vO8UBDqDnGOnfuHLTzMp+jruryN21SUpI6deokSTp+/Liys7ObTZ9AbVVWVmr37t2Bx8Gao6+55hp16NBBERERio+PV58+fTR9+nQtXbo0KOcHzqShxx3zOZqqF198MbAd7C/1M5+jKajL/PvtNvX9vMOKPgEgmAilERR+vz+wpJrdbg+8yTmb8PDwwFLbpaWlyszMbBZ9IrTVXLq7Ia6S3rp1qzZv3qzi4mJVVFTo2LFj+vjjj/WrX/1KnTt31gsvvBD0PhHaGmPM7dq1K7B9rm/wnqlNzWOBYKuqqjplXp8wYULQzs18jrqyYq5kfkZT9vrrr6uwsFBS9ZdBg3V13fvvv6+jR4+qqqpKBQUF2r59u55//nmNGjVKV155ZWAJZCCYGnrcMZ+jKfr8888DXy5q167dea/iryvmczQF/A0PAHUXZnUBaBlKSkrk9XolSXFxcQoLO//QSkhI0KFDhyRJBQUF6tixY5PvE6HrwIEDgW/cOp1O3XrrrUE7t2EYGjBggEaOHKlevXopNjZWJSUlysjI0Lx585SZmamSkhJNmzZNJ06c0K9//eug9Y3Q1Jhj7uTqApLUunXr87ZPSEg447FAsD3++OPas2ePJCk9PT0ooTTzOerLirmS+RlNVXZ2th544IHA44ceeuiCzxkfH6/Ro0dr0KBB6tChg+x2uzIzM7VkyRItWrRIpmnq008/1dChQ7V69WqWmEVQNNa4Yz5HU1TzS5h33XXXeVfMqi3mczQl/A0PAHVHKI2gKCkpCWw7nc5aHRMZGRnYLi4ubhZ9InS9+OKLgSXfJ02apLi4uKCct0ePHtq5c6e6d+9+xv1PPPGEHnjgAf3f//2fJOk3v/mNRo4cqSFDhgSlf4Sexh5zdZ2rmafRGN5//339/ve/l1S9kspzzz0nm+3CFhBiPseFsGKuZH5GU1RZWalJkybpxIkTkqTrr79eN9xwwwWd8/HHH9fAgQMVERFx2r777rtP69ev16RJk3To0CEdPHhQU6dO1QcffHBBfQKNOe6Yz9HUFBcX68033ww8njp1alDOy3yOpoa/4QGg7li+u4kbOXKkDMMIys+cOXOsfjnABbHq34Pf79dLL70UeBysN1RS9TJWZwswJCkiIkJ///vfdccdd0iSTNPUH//4x6D1j6anocc5Yw5NgZV/36xfv17f/e53A/c6f/LJJ2t1L67z4d8WAFwYv9+vqVOn6vPPP5ckde3aNSi3Oxg6dOgZA4yTBg0apMWLF8vhcEiSFi1apHXr1l1wvwhtjDuEsrlz56q0tFSSNHz4cF100UVBOS//rgAAaP4IpREULpcrsO3xeGp1THl5eWDb7XY3iz4Rmj755JPAsu+pqam64oorGr2Gxx57TIZhSJKWLFlyylgGGkKwxlxd52rmaTSkjIwMjR07NvAN8d/+9re69957G7UG5nOciRVzJfMzmhLTNPWDH/xAr732miQpOTlZn3zyieLj4xul/169egW+NCRJ7733XqP0i9AWrHHHfI6mpuYXiqZNm9aofTOfozHxNzwA1B3LdzdxN910k9LT04Nyrh49egTlPGficrkUFhYmr9ergoICeb3e897jOTc3N7Bdn6WQregT1rLq30PNN1RTp04NhAmNqWPHjurWrZv27NmjiooK7d+/X7179270OtDwmsq8H6wxV3OuzcnJOW975unQYMU437Jli6688krl5eVJkh588EH94Q9/CEoNdcF8jjOJi4tTfn6+pOq5suaHTWcSjLnSij6BMzFNUz/60Y/0n//8R1L1PPnpp58qJSWlUeu44oor9Pzzz0uSduzY0ah9I3QFY9wxn6Mp2blzp1atWiVJiomJ0c0339zoNTCfo7FY8XkHn7EAaO4IpZu4GTNmWF1CrdhsNnXr1k07d+6Uz+fT4cOHlZqaetb2VVVVyszMlCRFR0erQ4cOzaJPWMuKfw95eXlasGCBpOoxd/fddzd6DSclJiZqz549kqSCggLL6kDDakrzfjDGXM3AcP/+/edtX7NNQ36ZCtZq7HF+MpA++ab9gQce0GOPPdaoNdTEfI5v69GjR2D+279//3nDuGDMlVb0CXybaZr68Y9/rGeeeUaS1KFDBy1dulRdu3Zt9FoSExMD28zNaCzBGHfM52hKZs2aFdieMmWKoqKiGr0G5nM0Fis+7+AzFgDNHct3I2j69esX2D7fPVs2bNggn88nSerTp0+9rzy1ok+Eltdee00VFRWSpLFjx6pjx46W1VLzG5B8uxGNIRhjrnfv3rLZqv/c2LhxY2AePpuac3nfvn3r1SdQ08lAOjs7W5J0//3364knnrC0JuZzfFtd/qY9fvy4Dh8+LElq06bNKR+8NvU+gZpOBtIzZ86UJLVv315Lly5Vt27dLKmHuRlWCMa4Yz5HU+H1evXKK68EHjf20t0nMZ+jsdRl/v12m/p+3mFFnwAQTITSCJpx48YFthctWnTOth988EFge/z48c2qT4QWK++FVFNmZmbgqjqHw9Hoyxki9ARrzLndbl122WWSpOLiYq1YseKsbf1+vz788MPA46uvvrpefQInfTuQvu+++/TXv/7V0pqYz3Em/B2NUPPtQLpdu3ZaunSpLrroIstqWrp0aWCbK4nQWIIx7pjP0VS8//77On78uKTq8OuSSy6xpA7mczSW3r17Kzk5WVL1UvEHDhw4a9uSkhJ9/vnnkqSoqCiNGDGi2fQJAMFEKI2gue666+R0OiVJc+bMCSyV/W0lJSWB+4UZhqHJkyc3qz4ROjZs2KBNmzZJql7+aeLEiZbV8tvf/lamaUqqvj+SFUtgIbQEc8xNmTIlsP3kk0+etd2CBQsCS0sNGTKEsA4XZNu2bacE0j//+c/POf4aC/M5zmTEiBFKSkqSJC1btkwbNmw4Yzufz6d//vOfgcc159fm0Cdw0owZMwKBdFJSkpYuXaru3btbVs/u3btPubrvmmuusawWhI5gjTvmczQVNZfutupL/cznaGw1P2P+3//937O2e+6551RaWipJmjhx4gW9D7SiTwAIGhM4g86dO5uSTEnm/v37a33cr371q8BxI0eONIuLi0/ZX1VVZU6ZMiXQ5rbbbjvruR5++OFAu7vuuqtR+gRq+vGPfxwYN/fdd1+dj6/572jp0qWn7d+zZ4/55z//2SwsLDzrOSorK81f/vKXgfNIMleuXFnnWgDTbJgxd75xbpqmWV5ebiYnJwfa/etf/zqtze7du82kpKRAm48//rjOrw84adu2bWabNm0C4+nnP//5BZ2P+RyN4d///ndgbPTp08c8fvz4aW3uv//+QJvLLrvsrOd68cUXA+1GjBjRKH0CtTVjxozAmEpKSjJ37txZr/PUZpz/4x//OO9cu2HDBjMlJSVwrjFjxtSrHuCkYI475nM0F8eOHTPDwsJMSWZERISZnZ1d62OZz9FU1ByL5/osuqbjx4+bbrfblGTabDZz4cKFp7VZvXq1GRUVZUoyw8LCzB07dpz1fDXfL57tM/lg9wkAjSms3mk2WoxZs2YFrkw7qaCgILD95JNPKjY29pT9f/rTn854roceekiLFy9WRkaGli1bprS0NE2fPl2pqak6evSoXnrpJWVkZEiSkpOTg7KEphV9ouXzeDx6/fXXA48b4lu+JSUleuCBB/S73/1Oo0aN0uDBg5Wamiq3262SkhJ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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for index in range(0, len(keys)):\n", + " fig, ax = plt.subplots(1, 1, figsize=(24, 20))\n", + " key = keys[index]\n", + " mat = surfaces[key]['dens']\n", + "\n", + " cont1 = ax.contour(xv, yv, mat.transpose(), colors='k')\n", + " cont2 = ax.contourf(xv, yv, mat.transpose())\n", + " plt.colorbar(cont2, ax=ax)\n", + " ax.set_xlabel('x')\n", + " ax.set_ylabel('y')\n", + " ax.set_title('T={:4.3f}'.format(key))\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "ad1bda6a", + "metadata": {}, + "source": [ + "## Orthogonality check" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "1cab8780", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ret = disk_basis.orthoCheck()\n", + "ctr = 0\n", + "for v in ret: \n", + " g = plt.imshow(np.log10(np.abs(v)))\n", + " plt.colorbar(g)\n", + " plt.title(str(ctr))\n", + " plt.plot()\n", + " plt.show()\n", + " ctr += 1" + ] + }, + { + "cell_type": "markdown", + "id": "96231974", + "metadata": {}, + "source": [ + "## Look at some basis functions" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "703c3ed4", + "metadata": {}, + "outputs": [], + "source": [ + "logxmin = -1\n", + "logxmax = 2\n", + "numgrid = 2000\n", + "\n", + "disk_grid = disk_basis.getBasis(logxmin, logxmax, numgrid)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "3be8eea0", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Make a logarithmically space grid in radius\n", + "#\n", + "r = np.linspace(logxmin, logxmax, numgrid)\n", + "r = np.power(10.0, r)\n", + "\n", + "for l in range(2,3):\n", + " for n in range(6):\n", + " plt.semilogx(r, disk_grid[l][n]['potential'], '-', label=\"n={}\".format(n))\n", + " plt.xlabel('r')\n", + " plt.ylabel('potential')\n", + " plt.title('m={}'.format(l))\n", + " plt.legend()\n", + " plt.show()\n", + " " + ] + }, + { + "cell_type": "markdown", + "id": "86dad01d-c874-4f9e-b178-0c93559fbfac", + "metadata": {}, + "source": [ + "## Velocity fields" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "553422fb-22cd-4ee3-bb2e-5c095858a558", + "metadata": {}, + "outputs": [], + "source": [ + "# Restrict to m=2 coefficients\n", + "\n", + "vcoefs = vcoefs0.deepcopy()\n", + "for T in vcoefs.Times():\n", + " data = vcoefs(T)\n", + " if True:\n", + " for i in range(data.shape[0]):\n", + " for m in range(data.shape[1]):\n", + " if m != 2: data[i, m, :] *= 0\n", + " vcoefs.setMatrix(T, data)\n", + " else:\n", + " test = np.zeros(data.shape, dtype='complex128')\n", + " for i in range(data.shape[0]):\n", + " test[i, 2, :] = data[i, 2, :]\n", + " vcoefs.setMatrix(T, test)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "a9b1197d-53cc-42f2-a6a9-47477db6f22b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Created fields instance\n" + ] + } + ], + "source": [ + "times = vcoefs.Times()\n", + "rmax = 7.5\n", + "ngrd = 100\n", + "pmin = [ -rmax, -rmax, 0.0]\n", + "pmax = [ rmax, rmax, 0.0]\n", + "grid = [ ngrd, ngrd, 0]\n", + "\n", + "fields = pyEXP.field.FieldGenerator(times, pmin, pmax, grid)\n", + "\n", + "print('Created fields instance')\n", + "\n", + "vsurfaces = fields.slices(vel_basis, vcoefs)\n", + "vsurfaces0 = fields.slices(vel_basis, vcoefs0)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "c8a5bc89-7541-44bf-9ef5-0b18ff623518", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "density -5.777822e+00 3.731643e+00\n", + "v_R -3.282781e-01 2.534640e-01\n", + "v_R^2 -8.597026e-01 6.933460e-01\n", + "v_p -3.421424e+00 5.277116e+00\n", + "v_p^2 -5.259502e+00 3.500817e+00\n", + "v_z 0.000000e+00 0.000000e+00\n", + "v_z^2 0.000000e+00 0.000000e+00\n", + "weight 3.567120e-03 1.573247e+00\n" + ] + } + ], + "source": [ + "vmin = {}\n", + "vmax = {}\n", + "\n", + "for key in vsurfaces[times[0]]:\n", + " vmin[key] = 1e20\n", + " vmax[key] = -1e20\n", + "\n", + "for time in coefs.Times():\n", + " for k in vsurfaces[time]:\n", + " vmin[k] = min(vmin[k], np.min(vsurfaces0[time][k]))\n", + " vmax[k] = max(vmax[k], np.max(vsurfaces0[time][k]))\n", + " \n", + "for key in vsurfaces[times[0]]:\n", + " print('{:20s} {:13.6e} {:13.6e}'.format(key, vmin[key], vmax[key]))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "64c64e11-4997-47e0-9aea-1d751d116415", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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ERERERCSR3HzzzXz44YeDcuy3336b4uLifu27Y8cOFi9eTENDAwAul4t//OMfXH755cf1mkVFRaSnp8eLjrt27er3cw/etz/jT4/l0GP0N0swGKSysrLPLE6nk/Hjx7Nhw4bjOvah+06YMAGn8/B78CdNmsSrr74KQEVFBcFgEJ/Pd1zHPlr2U+WWW27hiSeeAGDFihXs2LGD8ePHA/Dhhx+yc+fOXvtaoba2tt/71tXV9drOysoa6DgiIiJDhgqGIiIiIiIiIiLHobKy8riKTccjHA73a7/9+/dz4YUXcuDAAQAcDgf33nsv119//Qm97vTp01m+fDkA77//fr+eU1FRQUVFRa9jnKzs7GyKi4vjxb/+ZlmxYkV8/ca+ssyYMSNeMFy1ahWRSAS3u+/LY+FwuNe6fX0du0ckEmHlypWcddZZx8x+8NdYXFxsaVHrsssuIzs7m8bGRiDWZXj33XfHH/cYNWpUv762wbBp06Z+77tx48Ze2xMmTBjoOCIiIkOGRpKKiIiIiIiIiCSQAwcOcMEFF/QaZfnrX/+az33ucyd8zEsvvTT+eOfOnezdu/eYz+nppusxUOvZHZzl/fffp6Oj47iyOByOXsc42rE7Ozt59913j3nsd999t9cYzKN9nZdccslRMx1Ne3t7r4KhFWsCHszj8XDdddfFt3uKhNFolMceeyz+8ZtuugmHw3HK8wE0Njb2KuD2ZenSpfHHY8eOVYehiIhIH1QwFBERERERERE5Dm+99RamaQ7Kn7Kysj5fu7GxkcWLF/caDflf//VffO1rXzupr+mTn/xkr+377rvvmM/5y1/+En+cn5/PggULTirDkbJ0dHTw8MMP97l/NBrl/vvvj2/PmTPnqGNdL7/88l4dhcf7dXo8nqMW9UpKSpg7d258+69//SvRaLTPYz/yyCO91tm76qqrjplnsB08anTnzp189NFHvPbaa9TU1BxxHysc/HdyNOXl5b2KtgevzygiIiKHU8FQRERERERERCQBtLW1cckll/Qas3jXXXfxne9856SPPXXqVM4777z49q9//eteHYyHevLJJ+MjTAG++tWvHnFdvx633XYbDocj/qevDsaLL744vm4ewA9/+MP4+opH8qtf/apX1q9//etH3TczM5Nbb701vv3II4+wYsWKo+6/YsUKHnnkkfj2rbfeSmZm5lH3P7hwu3//fn79618fdd/W1tb4uE+Ijcs8tEvxUGVlZfHv4bGKyyfqrLPO6nXsBx98sNc40tNOO40pU6YMymv317333suaNWv63Oeb3/wmoVAovv35z39+sGOJiIgkNBUMRURERERERERsLhAIcOWVV/Yqbv3zP/8z//mf/zlgr/HTn/40/ri9vZ0rr7yS6urqw/Z75513+MIXvhDfzsvL45vf/OaA5XC73fzoRz+Kb1dUVHD11VcfsWj45JNPctddd8W3p0yZws0339zn8X/wgx/g9XqBWHfitddey5YtWw7bb/PmzVxzzTXxLkGv18sPfvCDPo99yy239Cqmffe73+Wpp546bL/W1lY+9alPxddqBPjRj36Ey+Xq8/ingsPh4KabbopvP/LIIzz99NPxbau7C51OJ5FIhCuuuOKIo0lDoRBf//rXefLJJ+Mfu/nmmwdkjU0REZGhrO9VnUVERERERERExHKPP/44b731Vq+PPf/887zwwgv9PsY111zDPffcc9TPL1iwgLvuuouf/OQnAKxbt46JEydy6623Mn36dAKBAMuWLePZZ5/FMAwAXC4XDzzwAH6///i/qD7ceOONvPjii/zjH/8A4PXXX2fcuHF85jOfYeLEiTQ3N7N06VJee+21+HP8fj8PPfRQn52OAKNGjeJ3v/sdt99+OxDrBJw1axY33nhjfKRoT2fhwR1qv//97xk5cmSfx3Y6nTz44IMsXLiQjo4OgsEg11xzDRdddBGLFy8mPT2dbdu28fe//536+vr482699VZuuOGG4/smDaJbbrklXkCura2Nf9zpdPLpT3/aqlgAXH311WzcuJGtW7eyYMECrrzySs4++2z8fj+7d+/m0UcfZffu3fH9i4uL+cUvfmFhYhERkcSggqGIiIiIiIiIiM0daS28g4si/XHwGnRH8+Mf/5iGhgb++Mc/ArExqL///e+PuK/P5+OPf/wjF1988XHl6K/77ruP1tZWnnvuOQDq6uqOWvjJzMzk4YcfZubMmf069he+8AVqamr4/ve/j2EYBINB/va3v/G3v/3tsH2dTic//vGP+z3S8rTTTuOJJ57gxhtvpKWlBYClS5eydOnSI+5/5ZVXcu+99x7zuJFIhIaGhl6vM1gmT57MrFmzDhv7ed5551FUVDRor9sfqampPP7441x00UVUV1fz1FNPHbGLE2Jray5dupSCgoJTnFJERCTxaCSpiIiIiIiIiIgAsXGUf/jDH3jqqaeOOsLR6XSyePFiVq5cyW233TZoWXw+H88++yx/+tOfGDNmzBH38Xq9XHPNNaxbt+6Y6/8d6q677uLNN99kwYIFR93njDPO4M033+S73/3ucR37kksuYf369VxzzTXx8aeHGjNmDH/605949tln8fl8xzzmypUraW9vj2//x3/8x3FlOl5HGj16rHGvp8q0adNYvXo111xzDW734f0QbrebG2+8kQ0bNli+3qKIiPTfc889x3XXXUdZWRlJSUnk5+dz5pln8v/+3//rcz3j4xWNRtm4cSP3338/X/va1zjjjDNISUmJrxN8Mu9vmpqa+O1vf8vixYsZOXIkSUlJZGdnM3nyZK655hr+53/+p9dIcjtxmKZpWh1CRERERERERETsZ8OGDaxfv56qqiq8Xi/FxcWceeaZlnSZffTRR2zdupXq6mpSU1MpKSlh0aJFZGdnn/Sxd+3axYoVK+IX8IqLi5k3bx5jx4496WM3NjaybNkyKioq6OjoYMSIEUyaNIn58+cf13F+9rOf8e///u8AXHHFFTz//PMnnS1R3HbbbfHuz89+9rPcf//98c/V1NTw7rvvUl5eTiQSoaSkhPPPP5/8/HyL0oqIyPFqb2/n5ptvjk8VOJLS0lIee+yxPm/06a9rrrnmqN3pcPjvmv66//77+fa3v91rIsCR/Pd//zff+MY3jvv4g00jSUVERERERERE5IimT59+1E7DU23+/PnHXWTrr7Fjxw5IcfBIsrOz+eQnP3nSxzl4Dcvvf//7J328oaKgoIBrrrnG6hgiInKCotEo1113HS+//DIQ+7l+++23M2XKFBobG3n44YdZvnw55eXlXHbZZSxfvpzJkyef9GseLDs7m5ycHHbs2HHCx/zRj37ED37wAwA8Hg+f+MQnWLRoEYWFhRiGQXl5OR9++OFRR5TbgQqGIiIiIiIiIiIiNhaJRFi+fDkAl112GfPmzbM4kYiIyMC477774sXCKVOm8MYbb/Rae/YrX/kK3/72t/nFL35BU1MTd9xxB8uWLTup15w/fz6TJ09mzpw5zJkzh9GjR3P//ffzuc997oSO9/DDD8eLhTNnzuSJJ55g3LhxR9w3GAzG1zi2GxUMRUREREREREREbOzg9QvVXSgiIkNFNBrlhz/8YXz7gQce6FUs7HHPPffw+uuvs3btWt555x2WLl3KRRdddMKve7xrE/eloaGBr371q0BspPkbb7zR57h0n89n27HZTqsDiIiIiIiIiIiIyNEtWLAA0zQxTZPTTz/d6jgiIiIDYtmyZVRXVwNwzjnnMHv27CPu53K5+PrXvx7ffvjhh09Jvv649957aWxsBODHP/7xgKytbBUVDEVEREREREREREREROSUeumll+KPL7vssj73vfTSS4/4PKv95S9/AcDr9XLDDTdYnObkaCSpiIiIiIiIiIiInLQ777yTJ598ckCO9X//7//l6quvHpBjiYiIPW3YsCH++Fjr8xYWFlJaWkp5eTk1NTXU1dWRl5c32BH7VF1dzc6dOwGYNm0aKSkp7Nixg1//+te8/PLLVFZWkpyczOjRo7nooov42te+RlFRkaWZ+6KCoYiIiIiIiIiIiJy0mpoadu3aNSDHam1tHZDjiIiIfW3bti3+ePTo0cfcf/To0ZSXl8efa3XBcMWKFfHHI0eO5IEHHuCOO+6gq6sr/vFAIEBTUxOrV6/m17/+NX/605+49dZbrYh7TMO+YGgYBlVVVaSlpeFwOKyOIyIiIiLDjGmatLW1UVRUhNOpFQPkYzpXERGRRBMOhwfsWF1dXfGi4W9+8xt+85vfxD+nYqLIqaPzFWsEAgFCoZDVMY6baZqHnbv4fD58Pt8R929ubo4/zs3NPebxc3Jyjvhcq/Ssvwixbsnnn3+eaDTKWWedxfXXX09hYSGVlZU8/PDDrFixgq6uLj7zmc+Qmppqyy76YV8wrKqqorS01OoYIiIiIjLMlZeXU1JSYnUMsRGdq4iIyHD25S9/mS9/+ctWxxCRbjpfOXUCgQAjR6ZSV2dYHeW4+f1+2tvbe33sBz/4AXffffcR9z9436SkpGMePzk5Of64ra3txEIOoKampvjjng77I3293/jGN/i3f/s3fv7znwPwxS9+kYsvvpjU1NRTlrU/hn3BMC0tDYDiX34HZ/Kx/0GKyPDVvnw1Tf94Dld6BqO+/G0cTpfVkUREZAgwggH2/OJH8felIj16/k2cm3MrbqfX4jT9t6l1GdXBHRSNmM+4sZdYHaeXNev+QltbJWWLPk3mqGmn/PWNaIT1D/0AgNH/8h84k5KP8YyB1b5lPTVPP4J33CgKvvW5U/rah2p8+AU6lq2k9IZ5jLzpdEuznKzAgRZW3fEATreDf3vzAtwedV8crHZHG/fe9j5mFCbeeQm5Z46zOtKgqHhiJfse+ABnVgZFd38Vh9djdaQ+RZrbqL77NxAMk3f51aTPnGt1pBOWuieI0504vycHghGNsPW5X2GaJtMn3IA/tcDqSEPart2vUFn1IcVJk5icdpbVcU65iBHirYYHdL5yCoVCIerqDN76MB+/P3EmjbS3m5x7ei3l5eWkp6fHP3607sKhwDB6F3UXLVp0xOKow+Hgnnvu4c0332TVqlU0NDTwj3/8gzvuuOMUJe2fYV8w7GmPdSYnqWAoIkdlmibtb30EQNaCs3Gn2OvuDxERSXwaOSmH6vk34XZ6E6ZgaJomjeFKAPLzpuJ22+scKxiMjbBLyirA5T312Yyuj++Cdqdn4DjFY716bnhz+ryWn/86PbFiisPtwp2a2BeRUsfk4U5LItIWoKUqQPHUDKsj2UY4GOXZH23EjELuwnEULp5qdaRBEWrupOLJ1QBkXXcJrgz7X1Rv/fszEAyTVDKSzHlnnvKfRyfDNE3MaBSn203aPhNSEvtnyImo3/AWofYmvN40/KmFuN3D73twKmVljaWy6kNaIrUJ855sMOh85dTz+x340xLn5zPEimfp6em9CoZ98fv98S69QCCA3+/vc/+D1wa0QxH70Ax9FQCdTie33347q1atAuCNN96wXcEwkf61iYhYJrB5J+GKAzh8XjLmnGF1HBERERFbao3UEzQ6cbm8ZGaOtjpOL9FomFAoVrDz+bOtyRAKAOD0JVlycd6MRoFYkc5y3V+/aSTeqK1DORwO0ibEunsqNzZbG8ZmXv31Nmp2tOHJSmH8NxZbHWfQ7H/wA6KdIbyjikhdMNPqOMcU2LabjvfXgsNB/uXXJFSxEKB1zUfs+93/o2vfbqujWCLc1U7VmlcBGDP6IhULT4HMjDIA2iONhI2gtWFEhpjMzMz44/r6+mPu39DQcMTnWiUrK6vX9pw5c/rcf+7cjzv6e0aY2klivSMQEbFI2yvvApBx2nxcyad2dJSIiIhIoqgL7gUgO2scTqe9BtoEgs0AOD0+XL4USzJEQ7E7ok/1KNIeZjQSe2CLgmF3l4JhWptjgKRNLASgQgXDuJ3v1/Pe3/cAMPHbF+PNtOb/u8HWVdlE1XPrAMi84TLbF9/MaJTGfzwHQMac00kqTqy1ciOtLdS9/CzhhjqM9XutjmOJqtUvY4QD+P1FjCicZXWcYcHr9ZOSnEtKSh6BaPuxnyAi/TZx4sT44z179hxz/4P3Ofi5Vpk0aVKv7YyMvidNHPz51tbWQcl0Muz9LkZExAbCVbV0rd8GDgeZC862Oo6IiIiIbdUF9wOQkzPpGHueeoFAbNSR159l2UitjwuG1owD7SkYOlzWFwwdQ6jDED4uGFZubLE4iT10Nod48q61ABRdOZOc08dYG2gQ7f7Lu5hRg6QZE0meYv/1Gdve/JBw+QGcqcnkXnCZ1XGOi2ma1Lz4JEYgQEpuKQXTFlkd6ZTrbKyiftsHAEwYdzkOhy7tnirz5n6NBfO/SZonx+ooIkPK9OnT449XrFjR5741NTWUl5cDkJ+fT15e3qBm64+pU6fidn98o2RLS9/vBQ/+/LGKi1bQbxURkWNoXbocgNSJU/HmWP+LSERERMSOwkaQtmgjADnZEyxOc7iegqFV40jh45GkLqs6DCPdI0k9Nuj+7CkYRodWh2HtrjZCnRGL01jLNE2e/eEG2mqDJJdmMeaL51gdadC0bq6iftl2cDrIuu5Sq+McU7S1nZanlgKQe95luFL7XifKbto3raNjy0ZwOhl19vXxdVmHC9M0Kf/gGTBN8vOm2W7091DncnmsjiAyJF1yySXxxy+99FKf+y5ZsiT++LLL7HHTS3JyMueee258u2d9wqNZuXJl/LEdOiQPpYKhiEgfoh2ddLzXvXj9GcPv7kURERGR/vI4fSw86y5Om/FP+HzpVsc5THbWeMoWfZq8yWdaliElp5j8T1xr2dSK+BqGNugwHGojSX25frw5fkwDqrbYb7zUqbTmuUo2vXoAp9vB5H+/HFfS0LzIbpomu/70NgCpZ83BW1pocaJja37iZYzOAL7CYjLmnmF1nOMS7Win9sWnABgx8wJSsossTnTqGZEQLk8SDpebsWPsX6AeqgITizDModEdL2IH55xzDoWFsd+hb731FqtXrz7iftFolN/85jfx7RtvvPGU5OuPW265Jf74T3/601H3MwyDe++9N7596aX2+1mugqGISB863l2FGQrjLRhBctlYq+OIiIiI2Jrb7SM7254j+ZKTs8kZP5eM0smWZfCl55I570zSps605PXttIbhUBtJCpA2qXsdww3N1gaxUFNlJy/+dBMAoz5zFmkTCixONHga3ttJ66YqnD43mVcvtjrOMQV3l9O+LNbVkH/F1bZfa/FQtS8/S7SjnaTMQgpnXmh1HEu4PD7GLf4nFsz9BsnJWVbHGZY2bX6MZe/+iMZQldVRRIYMl8vF97///fj2Zz7zGWpraw/b7zvf+Q5r164F4KyzzuLiiy8+4vHuv/9+HA4HDoejV+ffYLrllluYMmUKAMuWLeOHP/zhYfuYpsmdd94Z70AsKyvj+uuvPyX5jocN5pCIiNiTaZq0vxM7ocqcf5Zla92IiIiIiAyI7uKcw2WDQkF3BjMydAqG6ZMKaVi+k/1rm6yOYgnTNHnm7g0EOyKkTy2i9IZ5VkcaNGbUYM//xpau8C8+G3eW/dYgOphpmjQ99DwAaTPnkjwysUZZGpEI0fY2cDgoO/t6nK7hezkzY1cQkq0brT3cOZ1uDCNMRdcWcn0lVscRGTJuv/12nn76aV599VU2bdrEzJkzuf3225kyZQqNjY08/PDDvPvuuwBkZmb22cXXX3v27OEvf/lLr4+tX78+/njNmjV873vf6/X5888/n/PPP/+wY7lcLv72t79x3nnn0d7ezt13382rr77KDTfcQGFhIZWVlTz00EPxNRq9Xi8PPvggHo/9pjAM39+wIiLHENpXRbiiBtxu0qbNsjqOiIiIiG01hCrYGl5FYfksSkvPsjrOER04sIaQL5O0wjE43V5LMnQ1HaAz2o4nJxdPxqnvDol389mgs8jhjl2OMIZQwTBjeuzi8b7VjZimOexuOFz9TAW73q/H7XMy8V8vtkdhepDUvL6Fzn0NuNOSyLjU/ktXdH64nuDO/Ti8HvIWX251nOPmdLsp/swduFaVk5pXanWcUy4S6KBq9SsUzrwASLI6zrBWUryA6gMrqQnuJhBtJ8mVWOuAitiV2+3mySef5KabbuKFF17gwIED/PjHPz5sv5KSEh599FGmTp160q+5b98+fvKTnxz18+vXr+9VQOzJeaSCIcDcuXN58cUXufnmm6moqGD58uUsX778sP3y8/N59NFHOfNM65ZJ6MvQffcmInKSOt6NtYinTZqGKznZ4jQiIiIi9lUb3EdbexXtHQesjnJEhhFl89Yn2PnKvURDActy1G5cRsX9f6B1zUprAnSvueRwWH8pwNE9FtUMRy1OMnDSJhTg8LjoaAxRv7fD6jinVGtNgJf+32YASj9zFiklQ7cDyghH2ff39wDwX3IuzlR7nysaoTBNj78EQPbCC3Cn27sb8mjS9zMsi4UA1etep27LcvYtud/qKMNeWloRmRmjMTHY37nR6jgiQ0paWhrPP/88zzzzDFdffTWlpaX4fD5yc3M5/fTTueeee9i4caNtC20AixYtYtOmTfziF79g4cKFFBQU4PF4yM3NZdGiRfz85z9n165dp2xU6olQh6GIyBGYkQgdH6wFIH3W0B2lIyIiInKyTNOkLrgXgNycSdaGOYpQqA0wcThduJOt6waIRoIAOL3WdDiahhl74LS+8y3eYTiECoZOr5v0ySNoWV/B3lWN5I0eHp0nRtTksTvXEGiN4J9QQOm1c62ONKiql6wncKAVV2YaaRfa96Jlj7aX3yHa0Iw7I5OsM8+1Os5xCdXV0PTBO+ReeBlg78LsYAm2NVK3OTaGb/SoI3e1yKlVWnImzS17KO/azFj/HFwO+40UFElkV111FVddddUJP/+2227jtttuO+Z+5557LqZpnvDrHE16ejr/8i//wr/8y78M+LFPBetvKxQRsaGudVsx2jtxpaWTMnai1XFEREREbKsj2kxntBWHw0VW1jir4xxRINgCgCclw9LuOiPcXTD0+awJYNpnJCmuWIehERk6BUM4aCzpqkaLk5w6b/15J3tXNuJNdjH5u5cN6VGk0a4w+/7xAQAZV16A02dN8b+/os1ttLz4FgC5iy+37GaFE2GaJjXPP0HLivdoeuxpq+NYpmr1y5hGlKzMMWRnj7c6jgC5uZNJSsoibAap6tphdRwRkQE1dN/FiYichPbucaTpM+fgsMMFFRERERGbqgvuAyArcwxut0WFsGMIBpoB8KZmWpojGg4B4PRa833qWcPQYYcOQ0+sw3AojSQFyJheDMDe1cOjYLh3VSNv/mE7AGO+ftGQHkUKUPnMasJNnbjzsvEvsn8nZfNTSzGDIZJKRpI2fbbVcY5L27pVdO3dhcPjoWjOxVbHsURnQxWNO1cDMHbMJcNuXVS7cjiclBSfAUB512aL04iIDCyNJBUROUS0tZ2u9dsASD9N40hFRERE+tJTMMzJse9Uhp4OQ68/09IcRvdIUodlHYY9I0mtvyGuZw3DoTSSFCB9ShEOJzRXdtFc3UXmiKE7RrGzJcTjd67BNKDgwikULJ5idaRBFWkPUP7oCgAyPrU4PlbXrkLl1bS/E1svNe+SqxKq2BTt7KDulecAKJq5GF9ajsWJrFG58kXAJD9vOunpJVbHkYMUjZiLaUYpGjEPdjZYHUdEZMBYf5YgImIzHe+vhaiBr7gUX36h1XFEREREbCtsBGmKHADsu34hQDDYDNihw7BnDUOLCoZGz0hS6wsHQ7Vg6E7x4h9XAMDelUP3IrJpmjz9H+tpORAguTiTcV+/wOpIg678sZVE2oN4igtIXTDT6jh9Mk2TpkeWgGninzqT5JGjrY50XOpfW0K0o52kzALyp51jdRxLtFbtoLViKw6nizFjLrI6jhzC7U5i1Mhz8HhSrI4iIjKgVDAUETlE+/LYONIMdReKiIiI9ClihsjPm0ZG+iiSk+07ijAQ6F7D0OKCodVrGJpmz0hS6y8F9HRnmUNsDUOAzDmjANj6Vq3FSQbPR4/uZ8sbNbjcDibfdQXulMRZG+9EhJo6qHgqdp6Yec1Ftvh/qC+BDdsJbNoBbhe5i6+wOs5x6SrfS8vK9wEYeeY1OF327uQcLCk5xRRMP5fS4jNJSR6eHZaJIjS5FMMcer/LRGR4Gp6/dUVEjiJcXUd4fzW4XKRNn2V1HBERERFbS3alMXXyjVbHOKayUefhn3oaqfmjLM0xYtbFdKZ24UnPtCZAz0hSO4wm7OkwDA29i6x5C8dT/vBHbFtWS7Azgi9laF16qd/bzss/j63bVfaFc0ibUGBxosG3/5EVGIEI3jGlJM+y9+hV0zBoemwJAFmnn403O7GKTfWvvQRAzvi5pI0Ya3Ea67h9KZTM/wQZu4JWR5E+NLfsY9eul/EETOZkXpZQo39FRI7E3rdEiYicYp2rNwGQMnocrpRUi9OIiIiIyEBITy8hZ/xckjLyLM2RN2kB2QvPx5XqtzSHHQqGTm+sI80IRixOMvD8EwpILs4k3BVlyxs1VscZUEbU5Mm71hEOGGTOHknxNbOtjjToQo0dVD+/DoDMqxfbviDQ8d4awhU1OFOSyF50odVxjtuI628l8/SFFM9LrM7IgWL23NgBKhYmAI87mba2SupD+6kKbLc6jojISVPBUETkIF1rYnfK+idNsziJiIiIiL11RJppLHX3urgpCcIGf2cOX6xgGA2ELU4y8BwOB/kXTAZg3QuVFqcZWMv/tpvydc34/G4mfuti2xfPBsL+Rz7CCEXwjRtJ0tTxVsfpkxkK0/zUUgCyF16IKznx1ldzp/oZO+1TeJLTrI5iidbyLWxf8gfaD+y2Oor0Q2pqPmVlsTVct3S+RyDaYXEiEZGTo4KhiEi3aHMbwV3lAKROmmpxGhERERF729O5jo9W/pbde5ZaHaVP4XAXuyJraKnYamkO04hSY+yiq2IfpmFYlMI+xR2HzwOAERx6BUOAgu6C4c736mivHxpdQhUbmnntt7EOmlF3nE9SQbrFiQZfsKGd6hfWA5Bx1YW2L5C2vfEB0cYW3OmZZJ6+0Oo4xyVYU41pmqTts/6GBquYpknVmqW0Ve+ka/16q+NIP40sXUiav5hIJMDmtmW6kUpEEpoKhiIi3TrXbgHTxFdcat26MiIiIiIJwDANagOx7oesTHuvMdXZVc++dx9n37uPW5ojEuyk4q+/p/zPv7Y0h104vLGCYTQYGZIXV5OLs0ibPALTgPUvVVkd56S1NwR56BuriIYNcheOo/CS4TGRpfzRFR93F06zd3eh0dFFy/NvApBz/sU4PV6LE/VfoLqSfb//OVX/uA8jOvTGFPdXa+U2OuvLcbg8jCw92+o40k9Op4vJk67B4XBRG9xLZcDaG5RERE6GCoYiIt26utcv9E+abnESEREREXtrClcTMgN43ClkZo62Ok6fgsEWALwp1nZDGZFYJ53D7cbhtPhU3Ab1uZ41DDFMzHDU2jCDpODCoTGWNBoxePTbq2mtCZBcmsXEf73E9p12AyFY305V99qFGZ+0/9qFLS+9jdHRiTevgPSZc62O02+maVL34lNgmngjPpwut9WRLGGaJtWrYx37JSNOx+u1eK1bOS5+fyFjRi8GYEv7e3REmq0NJCJyglQwFBEBjK4gXZt3AeCfPDzulhURERE5UTWB2Pum3NwpOJ0ui9P0LRRsA8CTmmFpDjPaUzD0WBfCRvWOng5DGJrrGALknTMRp9tB5aYW6na3Wx3nhL36q23sWdGIN8XF1Luvwp3qszrSKVH+yEeY4Si+8aNImjrO6jh9ijS10rZ0OQC5F16Ow2Xvn8sHa9u4lq79e3B4PJTMv8LqOJZpq9pOR90+HC63ugsT1MjShWRmjiE1NR+HnX7hiogcBxUMRUSAro3bIRLBk52LN6/A6jgiIiIitmWaBjXBPQDk59n/RqtgqBUAj106DD0WFgzjrG8xdLhd0F3UMIJDcwShNzOFzLmxDtx1LyZml+GGl6t49/7Y+OFx376M1FE5Fic6NYL1bVS92L124acSoLvw2dcxQ2GSSstInTTV6jj9ZoSC1L/yPAAjpl+A159lcSJr9KxdCFBcOB+fL83iRHIiHA4n06fexOxZd+Cebv/3RyIiR6KCoYgI0LV6MxDrLrT7yaCIiIiIlZrCBwganbjdSWRljbE6zjEFg7GCoTfF2g5Do7vD0GlpwdBe73Pj6xgO0Q5DgIILYmNJ175QmXBrNdbsbOPp/4gVzUpvmEfeogkWJzp19j/c3V04oYykyfZepzV8oJ72ZSsAyF18RUKdzza+8waR1ma8/mwKpp9rdRzLtB/YRUfNXhwuN6NGLrI6jpwEjyclPnkhNLmUiDl0f7+JyNCkgqGIDHumYdC1fhsAqRN1F5iIiIhIX2qDewHIzZmC02n/taaCoe6RpDYpGFo6krSHTepWTl9sHcOhXDDMOWMsvlQ3zZVd7F3ZaHWcfgt1Rnjkm6sIdUXJnDWS0f+00OpIp0ywvp3qJRsAyPjkhbYvwDU/8yoYBqkTppBSZv+bOHqEm5toWv4mACXzP4HTDj8bLeIvGM2os29g9Mjz8fms7YaXgWEYEXbuepl36h+mI9JidRwRkX5TwVBEhr3Q/mqMjk6cPh/JpaOsjiMiIiJiaxP8pzNz+m2UlpxpdZR+CcULhtaOeDOjUQAcbuuKrA5nrPBhGoZlGQ7mSIqthRftGroFQ1eSh+xzYl2GHz6yz+I0/ffCf22ibk8H3hw/k++6HIdr+Fw+qnhyZcJ0F4Yqa+j8MNYFmnPBpRanOT6Rtlbc6Zn4C8eSWTbd6jiWcjhd5E6YT9moc62OIgPEMKI0Nm4naHSwoul5uqKJu46tiAwvw+cdn4jIUQQ27wQgedTYhFocXkRERMQKkSll5ORMIC2tyOoo/TJx/JWUnXMTydnW5vVl5JF74WVkzrOw0No9Jg2bFAydyd0Fw86gxUkGV9FVpwGw+fUDtNUFrA3TD+uXVLH66QocDpj875fhzUyxOtIpE27pour57rULrzjP9t2FLU+/BqaJf8oMkkYUWx3nuCSXjqLsq//G6HNvtv33eTD1jCrO2DW0fw4ON263j9Nmfo7k5BwCRhsrmp4jaHRaHUtE5JhUMBSRYS+wZRcAKWPGW5xERERERAZaZuZocsbNwZNsbYdhUnou2YsuJGPOAssyOJyxSwB26TB0JicBEOkIWZxkcPnH5pM+tQgjYrLi8f1Wx+lT+fomnv7+OgBKb1pA5mmlFic6tSqfWY0RCOMdVUTSdHuv2RjaX0Xnyg3gcJBz3sVWxzkh6ZUuvKnWjou2Uqijhc1P/T9qN7+Ladrj57IMHK83jVkzP4/Pl0lntIUVTc+raCgitqeCoYgMa2YkQnDbHkAFQxEREZG+mKbB+w1PsnPXS0Qi9u+S6tEy1md1BNvoKRgStceFaUe8w3BoFwwBiru7DFc8vp9o2B7f/0PV723ngS+vIBwwyJpbRtlnzrA60ikV6QxR+fQaANIToLuw+ZnXAEibOhNfwQiL0/Rfx44tNH34TnxM83BWt/ldAs01tG1eg8OhS7RDUVJSJrNm/hNebxrtkUZWND5HMKqioYjYl34biciwFtxdgRkK40r1480vtDqOiIiIiG01hqtpidRSVb0Sp9NjdZx+CQRaqNv6Aa1VO6yOQrirnUBVBeGmRutC9BQM7dJh2L2GYWSIjyQFyD17Ap6sFNrqgmx5o8bqOIdpqw9w/x0f0dkcJm1CAVN/8IlhtW4hQPXz64i0B3EX5pEyZ6rVcfoU3FtB1+rN4HCQnUDdhWY0Su2SZ6h78Wk6l7xldRxLRcNB6ra+D0Bp6UKL08hgSknJZfZpt+P1ptMebaIxXGV1JBGRoxpe7/5ERA4RX79w9LiP77gWERERkcMcCMTeN+XlTsXpTIx1n9vaKtm//HEqVy6xOgrN+zaw/4+/pPalZyzL4Oj+ezNt0mHYM5I0OsRHkgI4PS5GXDYDgA8e3mttmEME2sP8/UsraK7sIqkok2k/uRpXstfqWKeUEYpQ/sRKADIuP8f254YtT3d3F86YjS+vwOI0/de88j3CDXW4k/zkTbJwPVcbaNj+EdFQF8lJ2eTmTLI6jgyynqLh5EnXkjPrPKvjiIgclb3fAYmIDDKtXygiIiJybIZpUBPYDUB+/nSL0/RfMNQKYPn6hQCmERu/53BZWGztGbFokw7D4TSSFKDoihk4XQ72rmykfF2T1XEAiIQNHv7Gaqq3tJKa7WXGz67Bm5VidaxTrvqljYSbOnHlZJJ6xiyr4/QpuGs/Xeu2gtNJzrkXWR2n36JdXTS8uRSAotkX4/ImWZzIOqYRpWbjMiDWXahxpMNDSkoOIwpnAxCaXErI6CIQbbc4lYhIb/qNJCLDlhEMEdy5H4CU0eMsTiMiIiJiX42hKkJmAI87hazMMVbH6bdQqA0AT0q6xUnsUTDs6ZqyW4dhpGPojyQF8OWlkXfhFACeuXsDEYvXMjQMk6e/t45dH9TjTXYx8cfXkVyUaWkmKxiRKOWPfgRA+qWLcLjt3UHd3N1dmD5zDt6cPIvT9F/jO69hdHaQlFlA7sTTrY5jqaa96wm1N+LxpMQLSDK8hEIdfNj5Mh82PUtXtM3qOCIicSoYisiwFdy2B6JR3BlZeLJzrY4jIiIiYlsHgt3jSPMSZxwpQCgUu3PfFh2GUesLhvT83XUXL6023AqGAGO/uAhPZjI1O9p460/Wrq352q+3se7FKpxuBxP/4yrSJg7PNd1rX9tCsLYNV0Ya/kXzrI7Tp8COfQQ2bgenk+xzEqe7MNzSRPMH7wBQPO+K+Hjk4apmw9sAFBctwOUaXuN/JcYwwkSjQbqirXzY+Cyt4XqrI4mIACoYisgw1vbaewCkTpiMo2c8k4iIiIj0YpjRhBxHCjYrGJrd3WQWro3mcHV3GEbsVjAcHiNJATwZKYz76gUAvP2nnez+yJqLxCse38+yv8SWZxj/LxeTPX+0JTmsZhom5Y+tACDt4oU4vR6LE/Wt5bnXAUg/bR7e7ByL0/Rf41uvYkYi+AvHklE62eo4ljJNk+J5l5E1ZhYlxQusjiMWSUrKZPZpt5OcnEPAaOOD5meo7NpmdSwRERUMRWR4Cu2vomv9NnA4yDrzHKvjiIiIiNhW1IyQP+I0UlMLycxIrKJCKBwrGLptUDDENAEsXavK4Y4VQ2xTMPQnAxBpC1ic5NTKP3cihZdMwzTh8TvX0t5w6josTdPk9d9t59kfbgBg5E2nU3jR1FP2+nbT8MEuOvc34krxknaevcdkBvdUENjQ3V246AKr4xyXjHlnkDJ+EsVzLx32N+s6HA7SiyYwa+R1eL1+q+OIhZKSMpk7+0tkZ43HMMJsaH2DTa3LMEx7/I4WkeFJBUMRGZZalsRGgKRNnZlQ6z6IiIiInGoep4+JE65i/tyvJdQ4UoitEQTgSbb+omy8w9DCi+UOtzuWJRyxLMPBnKkpwPArGAKM++r5pIzKoa0uyBP/vhbDMAf9NSNhg6e+t543/xAbhTryptMpu+2sQX9dOyt/bCUAqeeeEe94tauW598AIG36bLwJtqRGUlEpkxfdjr8gsW46ERlsHk8KM2d8lrJR5wNQ3rWJrW3vWZxKRIYzFQxFZNgJ1zbQ+eF6ALLOTqw7M0VEREROtdDkUoCE7AqZPOlqRp97M0mZBVZHwV84huxFF5I6fpJlGRyu7oJhxC4Fw1iHYXgYFgxdSR6m/McVeJKc7Hyvnnf+d9egvl6gLczfv/QRa56twOlyMOGbixn9TwtxOBPv/+uB0rKpktaNlTg8LtIW27twGqo4QNfqzeBwJFR3oWkOfiE8kTTtWUf5h8/h2VBpdRSxEYfDyZjRFzJj+mdJTcmn9LQr4u+9RERONbfVAURETrXWJcvANEkZN4mkEcVWxxERERGxrfpgBdHmMJkZoxOyYOicM5lsq0N0Sy8aj2PUBEszOG3WYejq7jA0AmGMUASnd3hdokgty2X0Vy5k+y+W8vpvt1M2O5tRswf+X2xzdRcPfHkFNTva8Ka4mPC9q8gZpmsWHizeXXjGLNxZ6Ran6VvLC28C4J8yA1+e9TdA9Ff14w/gTvUzcuyFYIfR0Bar2fg2HbX78I9OomyUlkaR3nJzJpKTPT4+ujw0uZTWte+T4y1OyPdgIpKY1GEoIsNKpLmV9ndjJ4aJdGemiIiIyKlmmibb2t9jzdr7qD6wyuo4MgB6RpJikw5DR7IvPqI10n7q1vGzk8JLppF/wWSMqMmj/7qGzubQgB6/aksLf7ppeaxYmONn+i9vUrEQ6NzfQMN7OwFIv2SRxWn6Fq6pj0/ISaRz2K6KfbRvXEvzR8uJBjutjmO5rqYDdNTuA4eTEYWzrY4jNnXwOsc1tetZ2fw8q5uXEDK6LEwlIsOJCoYiMqy0vfIuRKIklZaRPGqM1XFEREREbKslUktbpAGn001e7hSr4xy3YLCV+m0f0Fq5zeooAIS72gjV1xLpaLcsg93WMHQ4nThThu9YUoiN+h3/zxeSXJJFa02AR/91DR1NJ180jISifPDQXu777Pu01QVJLctl1m8/jX9c/gCkTnzlj68CE5JnTcFTZO/vSeuLb4Fpkjp+MkkjSqyO028Nr78EQM64ObYYC221+m0fAJCXMwmfT92WcmyGEcHpdFMX2s/yhsdpDFVZHUlEhgEVDEVk2Ih2dNL2ZuxNevaiCzTSQURERKQPFV1bAMjLm4bHk2JxmuPX1l7Fvncfp3LFEqujAFCz4S32/uZnNL37hmUZ4msY2qRgCOD0xwqGkdbh2z3hTvEy5XtX4PY62fV+Pb+6/C0+fGQvRvT413+LhA0+enQfv7z0LV746SZCnVEyZ4/ktF/dSFK+vcdunirBhnZqXtsMQPpl9u4ujDQ00758NQDZ5yy2OE3/de7ZSeeu7eByMWLWRVbHsZwRCdOwM9apXzRinsVpJFGMKJzN3NlfIiUlj6DRwUdNz7GzfSWmaVgdTUSGMBUMRWTYaH/jQ8xACG/BCFInJN5d8iIiIiKnSsQIUR3cBUBxgl7cDIU6AHAn+y1OEmOa3cUfC29ai3cYRqKWZTiUs3sdw+HaYdjDPy6faT+/gdSxeXS1hnn+PzfxhxveZdcH9f16vhE1WfV0Ob+6/C2e+/FGWmsCeHP9jP/6BUz/6dW4/b5B/goSR+XTazDDUXzjRpE0vszqOH1qXfI2RA2SR48jeWSZ1XH6xTRN6l+L3aiRN+F0fGk5FieyXvO+DUSDnfh8mWRnj7c6jiQQv38Ec2d/mcKC2YDJzo4VrGh6ns5oq9XRRGSIGl4riovIsBVpaqVlydsAZJ91nroLRURERPpQFdhO1AiRkpJHRkaZ1XFOSDjcXTBMSrU4STdbFAw9sSihsGUZDuVM7R5J2jJ8Owx7ZEwpYs7vb6HqhfVU/O1tqre28tcvfMiYBTks/vpESmdkYZomkaBBsCMS/9O4v5M3/rCd2p2xcbfe7FRGfno+Iy6fgdOryz4Hi3aFqH5hHQDpl9q7uzDa2k77shUA5Cy60OI0/de5cxuB8r043G4KZyZO7sHU0104onB2rzXqRPrD7fYxZfK1ZGWNYdv2Z2kMV9Fa7CPlgNXJRGQo0jtHERnyTNOk8e/PYHYF8BWXkjZ9ltWRRERERGzLNE32d24EoLjo9IS90SpeMPTZpGDY8308/imTA8bp9QJgBE9+jbyB4kqPdYCqYBjjcDkpvuo08s6ZwP4HP+DAC+vY/UEDf/rgPZLS3YQ6okcdVZqc7mHEjWdQdNVpuHyeU5w8MRxYuolIexB3QQ7JsyZbHadPba+/jxmO4CsqJXlM4nSlNb77JgB5E8/Em5phcRrrmaZJUkY+nQ2VFOTPsDqOJLARhbNJTy+lvn4L2VnjCGWBd0s5YSOIx6kuchEZGCoYisiQ17liA11rNoPLReEnb8DhclkdSURERMS2QkYXUa8TZ9DDiMLZVsc5YeFwJ2CfDsN42dW0rmLo8MQKhmbIRgXDtO6CYXOnxUnsxZuZwrivnE/JtXPZ9/f3qHl1E4HW3mtPupI9uFJ8uFO95Jw5jpE3zsPtT7Iosf2ZhknlU2sASFt8Fg6nfTu9jGCIttfeByD77PMT6saNEdfeTNN7b1E48hyro9iCw+GgdMFVTM29SN2FctJSU/JIHZkX324dncZHK/5KsW8C41Pn43bqZhEROTkqGIrIkBZt66DxgWcByD77AnwFRRYnEhEREbE3nyuFBfO/SWdnPW534hYf4gVDX4rFSbrFL/hbVzDs6TAkamBGIvE1Da3kTI8VdEMqGB5RUkE6E//1EkZ//mwi7QFcKV5cKT5cSR4czsQpItlBw4e76apswpXqw79wjtVx+tS+bAVGRyee7Bz8k6dbHee4uNPSGTPpE1bHsB0VC2Uw1NVtIhINsK9zPTWB3UxJP5t8X5nVsUQkgem3lYgMaU0PvYDR1oE3vzCh1n0QERERsUpocikOh5PU1Hyro5yUcMReHYbxHkMrR5J2dxiCfcaSxkeSNqlg2BdvdiopI3Pw5abhTvGqWHgCKh5fCUDqotNxJtl3fJ8ZidL68jsAZJ11nq07IQ9mhO3xM8VOjEiItupdmIZhdRQZokpLz2Lm9NtISsoiYLSzuvkl1jS/QiDaYXU0EUlQ1t9OKCIySLrWbaXj/TXgcFDwyRtscQe1iIiIiJ21huvxRAtxuRJ/pNW4MZfSmNFOav4oq6MA4C8cTdAfJXnUGMsyONxucLkgGsUMhsEGtdR4wVAdhjKI2rbX0LK+AofLSdris6yO06fOFRuINjTjSvWTftpcq+P0W9VD/wtA2WmfhMwCa8PYREv5Fna/8Xcy0kcyZ/b/sTqODFE5ORM4PfOf2bP3DcrL36UmuJv6SCUTU+YzMmWa1fFEJMHo6rmIDElGV4CGvz0NQNYZ55BcYo8LRSIiIiJ2ZZhRVjW/SPT9F5h12hdI84+wOtJJycgYCWPt00WUOXIqrlHWX7hzerwY0S7MQNDqKMDBI0m7LE4iQ1nFE7HuwpT5M3BnZ1ic5uhM06RlydsAZC44u1dXsJ11le+jc9d2cDpxzkn8G04GStOe9QBkZJRZG0SGPJfLy7ixl1BQMJNt256mta2Cjiwn2ONXvYgkEBUMRWRIanrsJaKNLXiyc8g5/xKr44iIiIjYXm1wL0GjE6/LT2pKntVxZJA4vV6MQBdGyB7jA11pH3cYmqaJw6FRmzKwArWt1L61DYD0S862OE3fApt2EC6vxuHzkjnvTKvj9Fvj268CkDN2Dr60bIvT2IMRCdNSvhmA/DzrbxaR4SHNP4I5s/8P1QfWUJA/nZArdtNBZMNGPM4kPE773EglIvaUGIPQRUSOQ2DLLtrf/BCAgqtuwOlNjLsyRURERKy0r3MjAEVF83A6E/ve0mg0zK7IGpr2rsc0LVw08CDRUIBwSzPRLmtHbzq6O5ZMu6xhmBbrMDSjBpF2tULIwKt8eg0YJr7JY/COKrY6Tp9aX1oGQMas03Gl2GBmcD8Eqivo2L4ZHA4KZ15gdRzbaKnYihEJkeTLJC3N3v/uZGhxOJwUjZiDq7tYaJoGa0PLeKfhYSq7ttnmfZGI2JMKhiIypJihMA33x0aRZsw9g5TR4yxOJCIiImJ/bZFGmsJVgIOiEfOsjnPSQqE29r37OHveesg2HWsHNrzJnl/8iPrXX7I0R8/NdGYwbGmOHg6vB0dyrOMh3NRhcRoZaqJdIaqXbAAg/eJFFqfpW2h/FYFNO8HpJOvMc6yO02+Ny14HIGv0aSRlqDu9R/O+2L+7vLxptvk9JMNTKNRGJBokZHSxofUN3m98ksZQldWxRMSmVDAUkSGl5aW3idTU40pLJ/eiK6yOIyIiIpIQdnesBiAvdzJJSZnWhhkAkUhsPTy3L8XiJB9zOLpPvw3D0hxOX1IsRlfA0hwHc2WkAxBqtLb7Uoaemlc3E+0I4i7IJXnGBKvj9Kl16XIA0qbMwJOZGGM9Qw11tG+OrdM3Qt2FcaZp0la9E4CcHHv/u5Ohz+fLYP7crzFm9MW4XF5aI3V81PQsq5tfoj3SZHU8EbEZFQxFZMiI1DfR+sJbAORfchWupGRrA4mIiIgkgLZwA9WB2IXNslHnWZxmYIQjsWKYy2uf94MOpwsA04hamsOZZMOCYVYaAMGGdouTyFBimiaVz6wBIO3CM3A47XsJLNrSRscHawHIPCNxugtbVrwPpklG6WSSs0dYHcc2Qu1NhDtawOEkI32k1XFEcDrdlI06hzNO/zbFRafjwEltcC/LGx6jOVxjdTwRsZHEXphCROQgTY+8iBmOkFw2Fv+006yOIyIiIpIQGkIVAOTnTR8y6yz1dBi6urvp7CBeMIxa3WEYK6IanfYpGLoz0wkCIRUMZQA1r95P5/5GXMke/AvnWB2nT21vfgiRKEklo0guHWV1nH7LufAyvPmFZBkFVkexFU9KOhOv+CqOHdXxdeRE7MDr9TNxwlWUFJ/Brt2vEAy2kjx9NiGHE++WckzT1AhdkWFOBUMRGRK6Nu+kc+VGcDrJv/xTeoMjIiIi0k9Fc68gvX3ukLqoGenuMHTbsMMQizsMXXbsMMyMjSQNNmgNQxk4Pd2FKWfOxZlsn5sHDmWGI7S98QEAWWfYe53FQzndbkpyEn/d24HmdLnxF4wmo73I6igiR5Sams+M6bcSiQTjI9O7JhSw9v3fU5oyleKkCR+PUheRYUUFQxFJeGYkStM/ngMgc96Z+Ar0plxERETkePj9hVZHGFDxDkOvjdYw7B6HaEYtHkna3XVp2qjDsKdgqA5DGShd1S00fLALgLQLzrA4Td86PliL0dqOOz0T/5QZVsfpFyMSweFw4HC5rI4iIifB7fbFH1dWfUhLpJaW1lr2da5ngn8Bud5S3ZAvMsyoYCgiCa/t9fcIV9XiSkkl5/xLrI4jIiIikhBawnWY40Zhn5LawOnpMLTlSFKtYXgYV5YKhjKwqp5bCyYkTR2Ppyjf6jhHZZomrUuXA5B5+lkJU4Br/mAZLSvep3TW5TB6ptVxbCXc1Ub1mqWkjRhHBpOsjiPSb8VFCwDYu+9N2iINrGp+kRxvCRP9Z5DiSrc4nYicKioYikhCi7a00fzMa0Bs/QRX8lC85CUiIiIysEzTZFPrW7StaGTqlBvJz5tmdaQBVZA/A8eYYnxpOVZHiUvOLCB9zukkFVq7TqQzqXsNQzsVDDWSVAZQNBDmwMsbAUhbfKbFafoW3LqbcHk1Dq+HjDkLrI7TL0YkQtP7y4i2tRINB62OYzvtB3ZTt+U9uvbvoWyeCoaSOFwuDyNLz2ZE4Rz27nuLisr3aQhV8F7jExT6xlgdT0ROERUMRSShNT3xMmZXEF9RCRmzT7c6joiIiEhCOBDcRWukHpfLR2bGaKvjDLjU1AKyx4y0OkYv/sIxFJ4+1uoY8a5Lw1YjSdOAWIehaZoafyYnpfb1LUTaArjzskmeMdHqOH3q6S5MnzkPV0qqxWn6p239KqJtrXhSMsgeO9vqOLbTdmA3AJmZoyxOInJiPJ4Uxo+7jJLiBezes5Sa2vVE/D7Q/QEiw4IKhiKSsIK7y+l4ZxUA+ZdfHV8XRkRERESOzjCj7Gj/CICRpQvxehPjIrUMjHiHoa0KhrEOQyMYIdIexJNmn1GyklhM06Ty2bVAbO1CO58jhmsb6Fq7BYCsBWdbnKZ/TNOkaflbAORPOxunS5cVD9XeUzAcgjfjyPCSnJzN1Ck3UlqyEIfDTX3DZqsjicgpYN93TiIifTBNk6ZHXgQgbeZckkvLrA0kIiIikiD2d22iM9qCx5NKaclCq+MMivqGbTTtWUe4s9XqKHGmYRDt6iLaae3YzY8Lhl2W5jiY0+vBmRpbWiBY12ZxGklkLRsr6dhdh9PnJvXsOVbH6VPb6++DaZIybhLevAKr4/RL567thOpqcPp85E1MjBGqp5JpGASaawBISy+xOI3IwEhPLyE5OdPqGCJyiqhgKCIJqWvNZoLb9+LwuMm98DKr44iIiIgkhJARYGfXagDGjF6M2+2zONHg2L17Kbvf+DudjVVWR4lrrdrOrv+6i4r7/2hpDldKrDBntHdamuNQ7txMAIK1KhjKiat6eg0AKWfMxpVq3/XtjWCIjndWApC5IHFu3Gj+4B0AcsfOx+VNtjiN/YQ6mjGNKA6HiyRfhtVxREREjpsKhiKScMxIlKbHXgYga8E5eDIyrQ0kIiIikiB2ta8kEukiNbWQohFzrY4zaCLR2EI7Lo99Rls6XR4AjEjY0hw966SZwRBmOGJploO5sjMBCNbapytUEkuwvo26d3cAsXGkdtbxwVqMzgCerBxSx02yOk6/hJsa6dgRG6GaN+Usi9PYU7CtAYDkpCwcDl1yFRGRxKPfXiKScNrfXUnkQB2ulFSyzj7f6jgiIiIiCcNTVILL5WP82MuG9MXMaLxgaJ8OSqc7VjA0LS4YOn1J4HAAEO2wT5ehOycTgIA6DOUEVb2wHgwT38TReEtHWB3nqEzTpO219wHImH+WrddZPJg7M4uSz32FormXkZSRZ3UcWwq1NQKxtd9EREQSkVYnFpGEYoTCtDzzOgDZ5yzGlaQxKCIiIiL9NbL0bEYUzsXjGdrvoaKRWMHQaaeCYXeHoRm2tmDocDpxJacQ7eyIjSXNTLc0Tw9Xd8EwWKMOQzl+RihC9QvrAft3FwZ37CNcXo3D6yFj1jyr4/Sbw+EgpWwMaY7RVkexrZwJ88konUzqbmvXqhURETlRiXEbk4hIt/bX3yfa3Io7I4uMeWdaHUdERETE9kzTJGKECE0uBRjyxULDiGCYsVGbLq99RpI6bNJhCODsHktqp3UMP+4wVMFQjl/dOzsIN3fiykonZfZUq+P0qe31WHdh2rTZ8RHBdmeaJgBp+0yLk9ibw+HAk5KuDkMREUlYKhiKSMIwugK0vPgWADnnXYzTrSZpERERkWOp6NrCO61P0NKy3+oop0Q0Goo/ttVIUlfsvathcYchgCs5BbBnwTCokaRyAiqfWQOA/7zTcbhdFqc5umhzG50rNwKQeXpirANoGgb7//wrapc8TSTQbnUcERERGUQqGIpIwmh9+R2M9k68ufmkz5xjdRwRERER22sN17OlfTnBYAvNLXusjnNKRLrHkTpcbhxO+xQOekaSYhiY0ailWXq6mqI2KhjGR5I2tGNGDWvDSEJp23aAti3VONxO0s6Zb3WcPrW9/RFEoySVlpE0osTqOP3SuWs7wcpyWteswOHUTbtHY5ome976BxUfPU843GV1HBERkROi3/QikhCire20vvIOADkXXIrDZZ+LPyIiIiJ2FDFCrG1ZimFGyMmeyMjSs62OdEp4PCmMPvcWTMPaotyhnG4vWWNOI5rhwTRNHBZmcaXYr8PQle4HtwsiUYL17SQV2GNtRbG/yufWApAybwaujDRrw/TBjEZpf+tDADLnJ0Z3IUDzB7Hz8Nxx82015tluosFOGnfFOl0nnX2exWlEREROjAqGIpIQWl95FzMQwjeiBP+UGVbHEREREbE10zRZ1/IandEWfL4Mpky+DodjeAyYcbt9ZI+dZXWMwzjdHsacdytto6wsFca44msYdlic5GMOpxN3diaR2gYCB1pUMJR+Cbd2UfvGVgDSLrD3Gvdda7cQbWrFlerHP3Wm1XH6JdTYQMeOLQDkTUmcIqcVwp2x9Vc97hRcPR3lIiIiCUYFQxGxvWhHZ3xh+JzzLsLhsP4iiwwtpmlihkNEuzpxOF2402IXqIxwmI5tmzDCYcxwKDY+zDAwTQMME29+Af5J0+LHaHrnDXA6cbhcOJxOcLlwuFy40zLw5uThycq28ssUEZFhZEfHR9SF9uF0uJk+9WY8nhSrI4mNuFL9QGyKh52487LjBUNmllodRxJAzdLNmOEonpEj8I6197+Ztjc/AiB91nyc7sS4HNeyMnYenl48kaT0XIvT2JvDGbspx8S0OImIiMiJS4x3KCIyrLW99h5mIIi3YASpE6ZYHUcShGkYRDvaibS14vT58ObkARBpbaHm+SeIdnVidHXG/9uzllDG3DMouPK62DHCIaof+/tRXyNt+qx4wZBolPrXXjzqviljJ1Ly2Tvi2weefRR3ahre3Hy8+QV4c/Nxen0n+2WLiIhQG9zL7o7VAEya+CnS0xNjnayBEgg007S3Fm9KOqn5o6yO04tpGhjBMA63x9IR+67U2NhGOxYMAbqqWixOIonANE2qXlwHQNq5p9v6xtJwXSOBTTsAyJi7wOI0/WNEIrSujo1QzZts7+5NO3C4YpdY7TYOW0RE5HioYCgitmZ0BWlb+h4AOYsujN+1J3KwaFcXLaveJ9zYEPvT1EC4pQkMA4CM+WdRcMU1ADjcbjq2bTricRxOF952B2n7YneFGlEv/sIxON1enG4PDqcrNs7N4cThcJCaPuqgfU1yJszHNKKYhhE7UTQNjEiIUEcL/qT8+OsYwSCtqz487PXdmdn48gpInTglodY1ERERe/FPm0fulr2kpORSWGi/0ZyDrbllL7s/eIy0EeOYcNmXrI7Ty6bHf0awrYHSL3yN5JGjLcvh9nd3GLbYrGCYHysYBqqbrQ0iCaFlfQVd5U04kzyknnGa1XH61P72R2CapIydgDc7MTr12jevJ9rZgSclg4zSyVbHsT2HM3aJ1TAjFicRERE5cSoYioittb35AUZHJ56cvIRZ50EGnhEKEaqvIVhzgFBtNcGaA6SUjSV70QWxHUyD+qUvHOGZDjwpaSR1uuOFPdNMZuRZ1+H2peD2peDypeD2JePypeB0e3vdmex0uZl4+Vf6ldHpclN29g1979SdIRoyKJn/CQKt9QSaawk01xAJtBNpbiTS3Ig7I+Pjrz0cYv8ffhnrQswfga9gBElFpRpvKiIivZimgYlJZEoZbmD6tJutjmQZIxoGwOnxWpzkcE5PbJqAEQpZmsPlj3UYGnbtMKxWh6EcW9ULse7ClAWzcCYnWZzm6MxIlPZlK4HYNJNEkTyyjKyF55EaTsfhtK4jOlE4u7vGTTO2hMVwWTdYRESGFhUMRcS2jFCY1pffASB70QXqLhxmjGCAmuceJ1BZTripAczD14LIXnQBaftMTDOZnPHz8KRm4EvL6f6TjSfl8JNbh8NB3iRrxwC5vEkUTD+318fCXe0EmmsINNeQlJkfL3DWeWoJ1cf+sHlDfH9PVjbJo8eTPnMOKaPHncr4IiJiM2EjyPqW1/HmFjCRMoBhfaEyasSKcU6XHQuGsUxGMGBpDnfPSNK2DkzDsM37bI86DKWfQs2d1L8TG/HpP/d0i9P0rXPNZozWdlz+tI+XM0gAnsxs8i76RPy8RPrW02EIYBhRXC57/FwVERE5HioYiohttS9bgdHajjszi/QZc6yOI4PANE3CDXV07t1FoGI/rpRU8i66AgCH10fHjq0YgS4A3EmpJGeNICmrgOSsEaTklJDaffLqcDgoW3SjZV/HQPAk+/Ek+0kbMbbXx7M7c/FdcgddTdV0NVbT1VRNZ2MV4aZGwk0f4s3JjRcMo50dBKoqSBkz3jYX/kREZHB1RJpZ3fwSHdFmnAcqKS05m5SUHKtjWSpq4w5DlyfWBWV5h2FqbCQphoHR3okr3W9pnh7uvNi/3XBzF5HOEO4U+/0dij3UvLIJM2LgHV2Cr6zY6jh9an8rthRBxuzTLV279ESoWNh/To+X6Tf+Bw6nC2elLreKiEhi0m8wEbElMxKhdcnbAGQvPD/hTqzk6EJ1NXTu3UXX3l107tlJtL0t/jl3ZjZ5F10RPzEdefqn8CT5Sc4pwpOcZlVkS7k8PtKLJ5BePCH+sWgoQHvNHlqrdpDrn0zPKhkdO7Zy4MkHcaWlkz5jNukz5+IrLLImuIiIDLq64D7Wtb1BJBrA58tg+tSbh32xECAa7e4wdHssTnI4p7u7wzBkbYehw+XCmZyC0dVJtK3DNgVDZ0oSztQUjI5OAgda8I/JszqS2JBpmFS9uB4A/7nzLU7Tt3BNPYFNO8HhIGOOtVNO+ssIh6l57jHSZ8zB7xk/rDvWj4fD4cSbmtn9OGhtGBERkROUUAXDNWvW8NBDD/Haa69RUVFBa2srubm5jBgxggULFnDuuefyqU99CpcKCyIJr+P9tUQbW3D500ifZe+TQOmbEQzi9Pni29WPP0DwQFV82+FykZo3Cn/BaFJyS/HvNaB7HcGcceosPRKXN4mM0slklE6OfaC7wBqqi+LyJhNta6Vp+Vs0LX8Lb8EI0mfOJWPWvI+7CUREZMCdynOViBFiT+c6dnWsAkwy0kcyberN+HzD8+aaQxlGd4eh237daa7uNQzNoLUdhgBufxqhrk6iLW1QXGB1nDh3fjahPZ0EqppVMJQjalq5l0BVM65UH6kLTrM6Tp/a314BQMrYiQmzBnn75vW0rVtFcOduCq7/LjiO/RwREREZGhKiYNja2so///M/87e//Q3zkDWsqqqqqKqqYtWqVfzud7+jqamJzMxMa4KKyIAwDYPWl5YBkHXGOTg99rs7XI7OjEbpKt9L585tdOzcRqiuhrHf+VF8LFhm/kQ6HMmkFY4lbcRYUvNG2bIDIBHljJ9H1phZtJRvoXHnKporNhOqqaZ+6fM0vPUKo79xF26/LiaLiAwkK85VVoXfoqljFwAjRsxl4vgrcToT4tTulPi4w9B+BUNnd8HQCFnffeJK9UNdDUZLu9VRenHnZRPaU0FXVbPVUcSmqp5fC0DKmXNx+uz3/3kPMxKh/d1VAGTOO8PiNP3XsuoDAHInnq5lDo5T5colRINdjM9cSFJSptVxREREjpvtzyobGxu5+OKLWblyJQDFxcVcffXVzJw5k4yMDNra2tixYwevvvoqq1atsjitiAyEzpUbCVfV4kxJIiOBTqyGs2igi47tm2nfvIGOndswD7kI5lxdTlrhGADS5l1hRcRhw+lyk1U2nayy6USCnTTtXkvdtg8gPblXsTBYewBvXgEOh24ZFhE5UafqXKUpXEOmJx9zamzN2qLaeQRDrZSNOo+C/Jn6WX6IwsLZuMeUkZpbYnWUw6TmltA1dSbefOs7+txp6QBEm1stTtKbpyAXgK7KZmuDiC0Faltp+HAPAGnn23vEZ9farRit7bj8aaROmGJ1nH4JNdbTtXcXOBzkTJhndZyE035gN+01e8gan0tJsb3/fYqIiByJ7QuGN910U/wE/Fvf+hb/+Z//SVJS0mH7/fSnP6Wqqgq/X+PWRBKZaZq0PP8GAJnzF+FKSrY4kfRHy0fvUf/ai/Ftd1Jq97p7E0kvnognJd3CdMOX25dC3uQzyZ10BtFgB+59Jm2jHETa29j/h1/gyc4lc8HZpM+ci9Nr37uzRUTs6lSdq6xqfoGxYy5hFLGCYX7eNPLzpmldqaPIzBiFY+yEY+9ogZzx8/BeaI9x++70DAAiNisYugtjBcPO8kaLk4gdHXhpAxgmvslj8Iyw98ja9mWxcaTpp83DkSBL57Sujf1OSy8aH1+PT/ovo3QK7TV7aGjYqoKhiIgkJFsXDO+//35eeeUVAL70pS/x85//vM/9i4qKTkUsERlEXWu3EC4/gCPJS9aCs62OI4eIdnbQtmkdbetXkzn/LNKmzwLAP2U67StWkFk2g8xR00jJLdZFTBtxOBy4k2IXqdP2mbSUl4PLRaiuhtrnn6D+tRfJOvM8ss5YpMKhiEg/ncpzFQcuIpHAx9v6HSsDwJ0WKxhGm+xVMOwpAnVVNlmcROzGiESpXrIBgLRzT7c4Td8iTS10bdgOQMZse9wkcCymYdC6NlbkzBmv7sITkVE6mcqVL9LYsptoNITLpXMrERFJLLYuGN5zzz0A+P1+fvazn1mcRkQGm2matDzX3V04byGulFSLEwnE1iTs2LGF1rUr6di2CTMaBWLr3hSln9a9Vx45195pWUY5Phmlk5l5w/ep376C2s3vEmproOH1JTR/9C45511Mxqz5CXMXtIiIVU7lucrp879BSkrOoL7GUNLSsp/WSoPk7CI8yfZbu9c0DMxIxPKbdHo6DO06kjTU0EGkM4Q7RRfcJabxg92EGjpwpqWSMmeq1XH61PHuajBNkkeNwZubb3Wcfunau4tIcxMubxKZo6ZbHSchJWUV4vVnEWpvoqlpF7m5k62OJCIiclxsWzBcvnw5W7duBeCqq64iPV3j7ESGusCG7YT2VODwesg64xyr4wx7ZjRK3SvP0bZ+NdHOjvjHk7OLyB43m6yymRamk5Pl8iZTMG0R+VMW0rh7DVWrXibU1kjdkqdJHT8ZT0am1RFFRGzrVJ+reL26iep47Nr9Cs1r9jD6vFvJHnOa1XF6aavexY7//QPe3HzKvmbtzVZ27TB0pibjTPdjtLbTVdFE2gTr13sUe6h6YT0A/kXzcLhtezkL0zBof6d7tOdse3dCHsyMRvDmF5KePRqn22N1nITkcDjIKJ1C3Zbl1DdsU8FQREQSjm3fYb399tvxx6efHnuD9dRTT3HfffexevVqmpqayMnJYdasWVx77bXceuutuG38hlFE+nZwd2HGnDNx++13N/hwYBoGDmdszJnD5SJQvo9oZwfu5DRyxs4me9xcUnI0/nkocTid5IybQ9bomdRteQ8jGu5VLAzW1eDL04U6EZGD6VzF3gwjAoDTZb/vucvjA9MkGuiyOsrHaxg2tWKaJg6Hw+JEH/MU5hJsbaerolEFQwGgq6qZppV7wQH+c+w9LjO4fS+R2gYcST7Sps6wOk6/pY6fTMq4Sfh3h62OktAyRsYKhg0NW233s1VERORY7HcG1W3lypXxxwUFBVxzzTU89dRTvfaprq6murqaJUuW8N///d88++yzjB49+lRHFZEBENy6m+DOfeB2k33WuVbHGXZCDXU0f/Qe7ZvWMuor/4YrORmA0umXYE4zSS8aj8OpEZVDmdPlpmDaotjGPpO2UQ669u+l/L7fkDZjNnmXXKVCvohIN52r2JthxgqGDjsWDH2x91hGIHCMPQefK627MzYSwWjvxJVmn05WT2Euwe176SzXOoYSU/1irLswaeoEPPn2HtHcviy2DmD61Fk4vT6L0xyf9P2AugtPSlrhWFzeJDw5eUQiXXg8KVZHEhER6Tf7nUF1q66ujj/+/ve/z7Zt2/B6vXzmM59h4cKFeDwe1q1bx3333UdjYyMbNmzgvPPOY/Xq1WRnZx/1uMFgkGAwGN9ubbXX+BWR4ar5udcByJh9evxuZxlcpmHQsX0LzR++S+eubfGPh5etIXPSGbGN4okWpROrpe0z6dy4DxwO2tavpmP7FnIvuoKM2afHu1BFRIYrnavY28cdhva76O3yxgqGZjiEGYlYOlbR6XbjSkkl2tlBtLnVVgVDd2EeAJ3ljRYnETswwlEOvLIRgLTz7D3i0+gM0LkyljWRxpG2b9tEStk4QGuGniyn28OMT9+N0+3Bsyt47CeIiIjYiG0Lhk1NH99JuG3bNrKysnj99deZNWtW/OM33XQT3/zmN7ngggvYvHkz+/bt47vf/S5//OMfj3rc//qv/+KHP/zhoGYXkePTtXknwS27weUie+H5VscZ8qKBLlpWfkDLqg8IN9TFPuhwkF48ifwpZ5FeoiKhxBRMW4S/YDT7lz9BZ0MFtc89Ttu6VRRee4vWOBSRYU3nKvZm75GkSfHH0UCX5d377vSMWMGwqRVKR1ia5WCeonwAOvc1WJxE7KD+3R2Em7twZaaTfNokq+P0qePDdZihMN78QpJKRlodp19CDXVUPfgXnL4kZlz/H7i8Scd+kvRJa0CKiEiism2LgGEYvbZ//vOf9zoB71FYWMhDDz0U377//vv7vBP33//932lpaYn/KS8vH7jQInLcos1tNPzpUSDWXejJzLI40dBnhsPUv/Yi4YY6nL4kCqafy7Rr/53xF3+BjNLJOBy2/dUgFkjNK2XSlV+ndMEncXh9dO3bzb4//IKOHVusjiYiYhmdq9ibYUQBbDlO3eF0xrsMja5Oi9OAOz0TgEhjs6U5DuUpjq1b2FnRhBGJWpxGrFa9ZAMA/kVzcbjs9//1wdrfXQVA+qz5CbN2Xdv61QD4c0eqWDjAqrMaqK3dYHUMERGRfrPtVeG0tI/vtExNTeWWW2456r4zZ85kwYIFQGyMz/Lly4+6r8/nIz09vdcfEbGGaRjU/elhoi1tePMLybv4E1ZHGnKinR00vvM6B555JP4xd1o6hdPPY+RZ1zHj+v+gZP4n8KXbex0QsZbD6SJ/6tlMuepfSMkpwejsINysNYVEZPjSuYq9maZ9C4YAbl9sPatoZ4fFScDdfbNepKHZ2iCHcOdk4kjyYoajdFXoPcdw1lXVTPOa/eAA/6J5VsfpU7iqltCu/eB0kj5zjtVx+sU0TVo3rAEge2xiZE4UHXXlbH32V2ze/iSdXeqWFhGRxGC/GS3dsrI+7jKaPn06Xm/fc9Tnzp3LBx98AMCuXbsGNZuIDIyWF94kuGU3Dp+Xohs+m3ALwttZqL6WpveX0bp2JWY4BED22ReQ054LQNrcy6yMJwkqKT2XiZ/4Go27VuOdOz/+cdM0E+YOahGRgaBzFXsbO/oi2rOieFLsWXBNL5lIl7MDp8/69749I8aj9c2W5jiUw+nEW1JIcOd+OvbUk1qWa3UksciBl2PrASZNnYA7197TaNqXxzr1UsdNsnzccH8FqysJ19ficLvJHDXN6jhDSkpuMakFZbRX72Lzlsc5bcbncLut/7kvIiLSF9t2GE6a9PFc+oyMjGPuf/A+fY35ERF7COzYR8szrwNQcPm1ePMKLE6U+EzTpHP3Dir/cR97f/MzWla8hxkOkZxdxKizbyCr2Z4XzSSxOF1ucifMJ31/bDva1Un5vb+hc/cOa4OJiJxCOlext6KieRRMOwd3UqrVUY5o5JnXUHTDZ/EVFlsdBXdmNgCRBvt18XlKYmsqtu+usziJWMWMGhx4JVYw9J9j7+5C0zDoeC9WMEyfZe+sB+sZR5pZOlXjSAeYw+Gk7OwbcHp8tLbuZ+26/yUctn4UtYiISF9sWzCcOXNm/HFLS8sx9z94n/6ctIuIdYyOLur/+DAYBmkzZpN+2lyrIw0J7RvXUnH/H+jYvhkcDjJGTmXCZV9i8if/hdwJ83G6++5+EDleaftM2p9/lUDFPir+9kca3lqKeci6XiIiQ5HOVWSo8GTYcyQpgLe0EICO3fUWJxGrNHy0h1BDB860VFJmTbY6Tp8Cm3cSbWrFmZxC6sSpVsfpF9MwaNvYM450tsVphiZfWg4TLrkDly+F1rZyVq35E4HAsd83iIiIWMW2BcNLL700Pt5sw4YNhEKhPvdfuXJl/PHEiRMHNZuInDjTNGn429NEG5rxZOWQf8W1VkdKWKZh9FpHLnXSVNyZ2eRNPoup19zJuMX/RNqIcRoVKYOqaM6l5E44HUyThjdepvIf9xLpaLc6lojIoNK5in2ZpklT827aa/ZgGlGr4xyVaRgY4bDVMXBnZgIQbWrFjNrr++UpjXUYdqjDcNg6sGQ9AP6z5uBw23ZFHQDa34116qVNn4XT5ll7BA9UEmltweVNJr1k0rGfICckNX8UEy//Cp6UDDo761i15k8Eg5o2ICIi9mTbgmFJSQnnnHMOAB0dHfzjH/846r7r1q2LrwmSlpbGWWeddUoyisjx63hnJZ0frQeXk8Jrb8GVpLEnx8s0DNo2rGHf//xfKv/+J0zDIG2fSUaVhxmf+g4jz7yapIw8q2PKMOF0exh19vWULboRh8dD585t7P/DL+jav8fqaCIig0bnKvZlmgZr1t7Hthf+h2g4aHWcI6rZuIwdP/xXap9/wuoouP3p4HKBYRBtbrM6Ti/e4tiSBcG6NiLtAYvTyKkWqGml4cPY+0m7jyM1OgN0rYqNTs2YNf8Ye9tHUlEpo//le4w+92acrsQociaq5KxCJl7xVXwZeaSWjKVrco7VkURERI7ItgVDgJ/+9Kfxx9/+9rdZs2bNYfvU1NRw8803x7e//vWvk5ycfEryicjxCVfX0fiP5wDIPe9SkktHWZwosZiGQdumdez7/c+pfvwBQvW1RDra8Kyvie/jcLosTCjDWc74eUy+4p/xZeQRaW2h/K+/p33bZqtjiYgMGp2r2JNpfjwa2+Gw5+muy+MD0yTa2WF1FBxOJ5702Jhcu40ldaYm48rJBKB9j8aSDjfVL64HwyRp8lg8I+x9M2THivWY4QjevAJ8RSVWxzkunsxsMkrtPe51qPClZTPpiq9RtugGHA4nLWN9VkcSERE5jK1vITrjjDO48847ueeee2hqamLBggV89rOfZeHChXg8HtauXct9991HY2MjAHPnzuV73/uexalF5EjMcIS6PzyEGQqTMmY8WQvPszpSwjBNk649O6lb+jzBqgoAnElJFE45l/ypC3F5deFR7CE5ewSTr/wGe995lI6WCpKKS62OJCIyaHSuYk+m+fFYTbveSOVOSgUg2mmPEd7ujCzCTY1E6ptgQpnVcXrxlhTS1dBMx+46MqcnViFGTpwRiVL90gYA/OcvsDjNsXW8uwqA9FnzEmY5CNM0cTgcpO0zrY4yrPT8/IfYDcFrK54ihwIKC2bj8ei8XkRErGfrgiHAz372M1wuF/fccw+hUIh7772Xe++997D9Lr74Yh5++GGSNN5QxJaan1xKeH81Tn8KhVffhMNpzzu+7ShQvo+K+/8AgNPno2DKOeRPXYTbpxMKsR+XN4kx599KpKudgD/N6jgiIoNK5yr206vD0KbvN+MFww7rOwwh1mHUxS6i9U3H3vkU85SOoGvdVtp3ah3D4aThvV2EmzpxZaSRMmuK1XH6FK5tILhjHzgcpM+YY3Wcfqt9/nEiLS2UTlpMar4m/1ihfvuHNO5cSSOwc88r5OdMY8SIOWRljrZth7yIiAx9ti8YAvzkJz/h+uuv5y9/+QuvvvoqlZWVhMNh8vPzOfPMM/nMZz7DpZdeanVMETmKrs07aX3lHQAKr7wRd/fYIzm6SFsr7rR0AJJKR5E8ejz+5HxGnLYYT7KKMGJvDocTT0o6nn0mbaMctG1ah8Plxj9pqtXRREQGnM5V7OXggiE2veDa814u0mGPNQM9WdkAROobLU5yOO+oIgDad9VanEROpeoX1wOQevZcHG57dgr36HgvNo46ZeyEhDnPNaNR2jatx+jqxBh/rtVxhq3cCfMxoxHqtn5AoPkANbVrqaldS1JSFiMKZ1M0Yh4+X7rVMUVEZJhJiIIhwMyZM/nNb35jdQwROU5GRxcN9z0OpknG3AX4J02zOpKtBQ9UUv/qErrK9zD6m9/DlZxC+n6YfN4XdZehJCTz/W1Uv/x3HG43Jbd9ieTSMqsjiYgMOJ2r2Idp9ozXc9h2NKC7u2BohkIYwSBOn7XrWHmycwAI19q3YNixpx4jHMXpsXfxSE5eV1UzTav2AeA/Z57FafpmmiYd78cKhonUXdi1bzdGVyfupFT8BaOtjjNsOZwu8qeeTd6UhXTWl1O//SOadq8hEGhiz97X8c2YRlFrrGDY3l6NaZqkphbgtOm47YFkmgaGEcUwIrjdSfHf58FgC+FwJ6ZpYJpm93+j8ZuFMjJG4XTGLnV3djYQDLUA4HC4cDqcOBwuHA4nDoeT5OTs+L6GEcXhcOiai4gICVQwFJHE1PjwC0QbW/Bk55B3yVVWx7GtSFsr9a8voXXNCjBNcDoxP9pBWtkMAL1xlYSVVjiW9OKJtFZspfLBvzDyC1/Dm5tvdSwRERmyuguGNi0WArg8PpxuL0YkRKS9Fa8vz9I8nqxcACJ19isYuvOycSQnYXYF6NzXgH+c3kMMdT1rFyZNG48nL9viNH0L7SonUtOAw+vBP3m61XH6rW1zrIMzY+RU2671Opw4HA5S80aSmjeS0tOvonnfBlqrdpCSW0pLXux32e43ltG0Zx1Op4c0fxFpacUkJ2fh86bj82WQnl56Sm+SMU0Tw4hgGGEi0SBGNExq6sc/nxubdtHVWU/UCBGNHvLHCDNtyqfjeXfsfJG6+s0Y0TBRI4xhhHtNCzjt1p/g8sZurNn7zps0bP/oqLmm3/h9vKmxsd/lH3xE7aZ3jrrv1Gv+jaTMAgCqVr1M9dpXcThcuFwenE4PLpcXt8uHy53ExPFXxr++lpZ9tLTsx+1JwetJweNJweNJxeNJ6S5u6tqNyMl67rnneOCBB1ixYgUHDhwgPT2dcePG8alPfYo77riD9PSB6b6ORqNs2bKFlStXsmrVKlauXMm6devo6uoC4LOf/Sz3339/v45lmiYffvghr732Gu+//z6bNm2ipqYG0zTJzs5mxowZXHrppXz2s58lMzNzQPIPFhUMRWTQdK7dElsA3uGg8FM34fRae/e0HRnhEE3vvU3jO69jhkIAZI0+jaK5l5KUnmtxOpGT53C6GHP+Z9i+5A901pdT8fc/M/L2r8dH7oqIiAwkl8tH8dzLrI5xTBkjpxJJMW2xzmJPh2G0sQUzEsHhts9lAofDgbesiOCW3bTtqFHBcIgzIlEOvLwRAP858y1Oc2w93YX+SdMt7xTuL9MwaN8SK8pmdd+cKvbhdHvIHjub7LGzD/u4y5tENBSgpXUfLa37Pv6cx8dpt/6EzN2x6wnbdzxPW1slTpcXl9OD0+WJ/dfpwe1OYuyYi+LPLa94j87OesDs7uqLxP84HA6mT7slvu/mLY/T2LiDqBEmGg0Rv0EHwOFk9uf+b7wIuPe1j2jet+GoX2dzmQun2wNAR0WQQODoa+iaRiT+2O1Nxp2cFu8SxOnE4XTGi3QH/051J6fFCoI9nYhGFNPo+W8Uh+vj33VGNBx7LTNKJBIFAr0ytJV6iGTF/h+vWrOX6t2vHCWtg9mn3U5mZhkATU27aWzagdebhs+bhi8pkyRfBl6vX4VFkSNob2/n5ptv5rnnnuv18bq6Ourq6nj//ff57W9/y2OPPcaCBQtO+vWuv/56nnrqqZM+zvbt27nggguoqKg44uerq6uprq7mlVde4cc//jF/+tOfuOaaa076dQeLfc4ERGRIibZ30PjX2A/drDPOIXmURp0cygiF2Pe7/0u4KXY3d2reSEpOvwp/QZm1wUQGmMvjY9xFn2fb878l2NxA5QP3Uvr5r+D0JVkdTUREhhi320fhzAusjnFMY867hbZR9uiCdKX6cXi9mKEQkfomPIXWdjweyjeqmOCW3bTv1DqGQ13D+7sJN3XiTPeTMmuK1XH6ZEYidHy4DoD0mXMtTtN/gcr9RNtacXqSSCsab3Uc6aeyRZ/GNA2CLXV01JXT2VBJuLOFUEcLTrcHh8NBy9hYQathw366WiuPeByXN5ncxZ+Ibx/YtpW26p1H3NfhdMWPCdC1O0Qo3H74fi43Lo+vVxEuNW8kYOJ0+3B6vLjcXpweL063D5fH12sKwIiZF5A3+Uycbg9Otxeny43T5cbhdONwuXt1wZacfiUlp1/Zr+/ZiJkXMKKf7weK5lxK4YzzMCLh7j8hjEiIaDhINBTAm5oZ3zclawTZY+cQCXYQCXQQCXYSCXRghAOASXBsJi2Zse/bgdX7qd7/9uHfM4cLny+DaVM/TXpaMQBdXY0Eg60kJ2fj9abZdqy6yGCJRqNcd911vPzyywAUFBRw++23M2XKFBobG3n44YdZvnw55eXlXHbZZSxfvpzJkyef9GseLDs7m5ycHHbs2HFcx2lsbIwXC30+H+eddx5nnXUWI0eOxOfzsXPnTh588EG2bNlCQ0MD119/PQ8//DDXX3/9SeUfLCoYisigaPzHc0Rb2vDmFZBzwaVWx7Elp9dLytgJdG7ZSsm8y8kac5ruMpMhy5OcxvhLvsiWJb8leKCSqkf+RvEtX8Dh0hgkERERKzkcDjxZOYRqqonUNtquYOgdFbuY2r6jxuIkMtiqX4yNyvQvmovDbe/3iF0btmO0d+Lyp5EyJnEKb+2bY11fmSMn43TpkmAicTicJGUWkJRZQM74oxepS0+/ikiws7voFcaMhuOPDx3XnT1uTmwdS0esiOVwu3E63ThcnsP+fZTM/wRFsy+JFf5cHlweL06394hjbQtnnt/vrysp0/rO8ViR0t+vfTPLppNZdvgIYiMaIRqMrQ3aIzVvJHlTziLc2RYv8IY7WzDNKIFAI12j0zAzujsXV6+neu1SAFxOL8nJ2d1/ckhJySMvdwoeT8oAfLUi9nTffffFi4VTpkzhjTfeoKCgIP75r3zlK3z729/mF7/4BU1NTdxxxx0sW7bspF5z/vz5TJ48mTlz5jBnzhxGjx7N/fffz+c+97njPlZpaSn/+q//yi233EJWVtZhn7/zzjv5xje+we9+9zsMw+BLX/oSF110kS3Hk+rdgYgMuI4VG+j8YB04nRRe/WmcHo/VkWzBCAZpePMVMuadgTcndiGmbNIVOKdehdPttTidyODzpecy/oLPs+2lP+DNL7D1+lIiIpKYotEwHfW1OJwuUrKLrI7TJ9MwMCMRnF7r3wfGC4Y2XMfQOyr299i+qw4zauBw6Qa7oairuoWmVXsB8C+aZ22Yfuh4LzaONG367IS6Ac5XWERy2Vgyy2ZaHUUGSdqIsf3eN3dC/0f/JmXY62YSu3G63DhTei+7kVE6mYzS3h1QphEl1NFCqKMZrz/roOd78PqzCXU0ETVCtHccoL3jQPzzrmnjSMrMImNXkJqadTS37CU1JZ9UfyH+1EI8nuTB/QJFBlE0GuWHP/xhfPuBBx7oVSzscc899/D666+zdu1a3nnnHZYuXcpFF1102H799d3vfveEn3uw6dOns3PnTrx9vKd3u9389re/5f3332f16tU0NjbyzDPPcNtttw1IhoGkgqGIDKhoazuNf38GgOyF55NUPNLaQDbRvnUTtS8+SaSlmeCBSiade0dsxIRPb+pkeEnNG8nUT32b0DSt0SkiIgMvEGxm67O/wuVN5rRb/9PqOEdVs+EtKv73BdJnz6fwqhusjoMnK7aOYbi2weIkh3MX5uLweTGCITormkgdlWN1JBkEB17aACYkTR2PJ9/ef8dGZ4DONVsASJ85x+I0xyd95hzSZ84hbZ957J1FZMA5nC58adn40rJ7fbxw5vkUzjwfIxoh1N5EsLWeYGs9gdZ6gi21+NJj588tY31UV+yksWpVr+f7fJn4u4uHI0vPVgFREsqyZcuorq4G4JxzzmH27NlH3M/lcvH1r3+df/qnfwLg4YcfPqmC4UBJTU099k7Epnpcd911rF69GoD169cPZqwTpoKhiAyoxr8/i9HWgbdgBDnnWv9D22qhhjrqXnqWju2bAfCmZVM0/lzNo5dhzZeWg2+fSetI9P+CiIgMLLP7IrjNf784PUlgmkTb2qyOAoA3O1agidTar8PQ4XTiHTmC4I59tG+vUcFwCDKjBgde2QiA/9z+dzxZpXPlBohE8OYV4BtRbHWc46ZioYh9OV1ukjLy+uzozB4zC09KOoGmGroaqwl1NBEMNhMMNtPQuI3s8y7B6faQsSvI/vJ36epqJC2tiDR/Eamp+TidKgeIvbz00kvxx5dddlmf+1566cfLXh38vESRnv5xJ3JXV5eFSY5OPyFEZMB0rtwYO3nqHkXqcA/fHzFGOETj26/RtPxNzGgUnE4Kpp5D0eyLNH5UBAh1NLPnv39H6oTJ5F/2KRxOjRcTEZGBELsQbvcbUrzdY8sibS0WJ4nxdI/Lj9TUW5zkyLxlJQR37KNt2wEKFk+xOo4MsIYPdxNq6MCZlkrKrMnHfoLFOt5fC0DajNm2/1lzsLbN60keORro31ptImJPh446jQS76GqsoqupmnBnG053bFmglrE+qjdtpKNuf3xfh8OFP7WQ9PQS0tNLKSw4DYdD5+JirQ0bNsQfz5vX91jywsJCSktLKS8vp6amhrq6OvLyEmdk8sFf66hRoyxMcnTD92q+iAyoaEcnDQePIh1RYm0gi7V89B6Ny14DIL14AqULPklS5uHzt0WGq9aKrUSaGwlWlatYKCIiw44nNQOASKs9CoY962uHaxswDcN2v5t9Y0ppA1q3HjjmvpJ4DrwUu3jmP2uO7W86jTS1Eti6G4D0GUcemWZH4dZmqh+5H5xOZt70Q9y+FKsjicgAcfuSSRsx9ojrVxZMP4+Oun101lfQ2VBJNNRFW3slbe2V1LZsI+WsM8jYFQSg+sBqPJ5UMtJHaqSpnFLbtm2LPx49evQx9x89ejTl5eXx5yZKwbCpqYlHH300vn355ZdbmObo7P1OTEQSRtMjSzBa2/Hm5pN9zmKr41gu8/SFBDduI3fSGWSOmpZQd56KnAot5VsBSB1v/7vIRUREBpq3u2AY7WjHiERwWlwkcWdk4nC7MSMRIg3NePKyj/2kU8g7thSA9l21GOEoTo/L4kQyUIL1bTR8uAcA/6K5Fqc5ts6P1oFpklRaFl/7MxF0bIstkZGaU6piocgwkjV6BlmjZwBgmiah9kY66srpqNuPq3v6VctYH6Zpsv39JUSDnQCkphaQmTGKjPRRZGSU4XYnWfY1SGJqbW3tte3z+fD5fEfct7m5Of44Nzf3mMfOyfn49+/Bz7W7b33rWzQ1NQFw5ZVXMn36dIsTHZkKhiJy0gJbd9PxzkoACq66AafHY3GiU69z9w6aP3qXEdd9BofLRXqli/RLvmh1LBFbMqIRWqu2A5A6QQVDEREZfly+VBwuN2Y0QrStFWeWtQU6h9OJJzuXUO0BItV1tisYuvOycaamYHR00rG7jrSJhVZHkgFy4JVNYJj4JpThKcq3Os4xdXywDkis7kL4uGCYMVIjfUWGK4fDgS8tB19aDtljTuv1OSMSInPkVNpr9xJsqaOjo4aOjhoqqz4CICd7ogWJBeCZtpkkmYlznTXQHgaWUlpa2uvjP/jBD7j77ruP+Jz29vb446SkYxenk5M/7oBts8l64Mfyxz/+kb/+9a8AZGZm8utf/9riREengqGInBQzHKHhb08DkDF3Acmjjt06PpREAwHqX32BlhXvAdD18jsUTDvH4lQi9tZRsxcjHMSV6sc3zMcXi4jI8ORwOPCkZBBqayDS2ozH4oIhxMaShmoPEK6pJxl7XRh0OBx4x5QQ2LCd1q0HVDAcIsyoQfWL6wHwn9P3mkV2ED5QR2hPBTid+KfOtDpOvxmhEJ27YzfrZY6canEaEbEjl8dH2aIbAQh3tdFes5eOmj201+yho74CV1EhNG47xlFEPlZeXk56enp8+2jdhcPBiy++yNe+9jUAnE4nf/3rXykrK7M2VB9UMBSRk9Ly0ttEqutwpfrJXXyF1XFOqa59u6l+4kEiLbF28rxJZ5I74XSLU4nYX0vFFgBSxk2y3RpJIiKS2DyeVApnXojTbf87sTNKJxNwdeC0yQUUT25s/ZfIgXqLkxyZb0wpgQ3badumdQyHioaP9hCsbcOZmkLqvBlWxzmmjvfXApAyZgJuf5q1YY5D5+4dmJEI3tQskrJUbBeRvnmS08gqm05WWWxcohEJEe5qp3bj2xYnk0SSnp7eq2DYF7/fHx/VGQgE8Pv9fe7f1dUVf5yWZu/fx6+99hrXXnstkUgEh8PBn//8Zz75yU9aHatPKhiKyAkLH6in5bk3Aci79JO4kofHWgimYdD49qs0vLUUTBNvWg5lC68nrWic1dFEEkJLRff6hRpHKiIiA8zr9VM8+VKrY/TLyDM+Rdso+6xz7c2JjYMM27Rg6B0dG23VtrXa4iQyUKqeWwuA/+y5OLz2LvKbpvnxONKZCTaOdPsmIDaO1OGwz88cEUkMTrdXa5/KoMrMzIwXDOvr649ZMGxoaOj1XLt64403uPLKKwkEAjgcDv7whz/w+c9/3upYx6Tb+kXkhJimSePfn4FIhJSxE0ibPsvqSKdM7ZKnaXjzFTBNssfNZcon/0XFQpF+Mo0oSRPG4cnJI3XsBKvjiIiISDdvTqzDMHygzuIkR+YbExtj3ln+/9m77/C4zvPO+98zvQ96B0EUgg0kwV4kkiLVKFnNsmXZlous2FbKrvNuNtlNj5228ftmEzteb+I4Ra6yLdmSVaxCiRIpUWLvHQSI3sv0Pue8fwwJihYlNgBnBrg/18WLwGAw50cSBM459/Pc9yipUFznNOJGRXt9jO1rB8C1Ofu7tCTae0gNDKNYzLjmNekd56ppmka4JbNYT+YXCiGEyEZz515shX/u3LkrPv+9z3nv52aTbdu2ce+9947vhvz2t7/N448/rnOqqyMFQyHEdYnsOkzsxFkUs4mSez8+o1Yq5q9Zj9HlZvbGT1O78VMYLVceyCuEyFAMRko+8iC1v/tHGB1OveMIIYSYZlQ1Rcw3SCyQnbvkfp2mqqSjEb1jABdbkqZH/aiJpM5p3s/ocWEsygcNgmekLWmu633hMGhga2rEXFKod5wrCr97EABX40IM1ty5/lMUhVmP/zdmb/gU7rJ6veMIIYQQ77No0aLxt/fu3fuhzx0YGKCrqwuAkpISiouLJzXb9bhQLIxEMuf43/rWt/it3/otnVNdPSkYCiGumRqNM/bTFwEoWH87loIinRNNrnQsSvD44fH3C8PFLP7Yn1DYsFzHVELknmQ0mFWt14QQQkw/kegIx3/+dU4//096R7kif9dJWr72B/T84Lt6RwHA6HBisNtB00hl7S7DTFvSwElpS5rL1ESKgVcybTLdObC7UFNVInuOAOBenFvtSAFMLjeFc1bkxGxXIYQQM8+WLVvG337ppZc+9Lm/+tWvxt++++67Jy3T9fr1YuE3v/lN/st/+S86p7o2UjAUQlwz/3Ovk/YFMRcUkn/zJr3jTKpYbzed//y/6fvZ94m0t+Lu0ADkYkuIa+TrPMHRp/4G/8EPXy0mhBBC3AiFzMIUTdN0TnJlJrsLNI2kb1TvKEBmJ5KlqBSAZO+gzmkuzzqnBoDA8V6dk4gbMfx2C0l/FGO+B/uSeXrHuaL4mXbSviAGmx1HQ/bnFUIIIXLJxo0bKSsrA+DNN9/kwIEDl31eOp3mn/7p4qLAT37yk1OS72q9+eablxQLv/GNb/CVr3xF51TXTgqGQohrkuwbIvDqTgCK7/ooBpNJ50STx79/F13/9k8kx0axOPNxDhn1jiRETor5hzj31o/QkkliPZ16xxFCCDGdXWiTnwMFQ6urAIB0KIiazI4WoJaSLC8YNpwvGJ7sQ1Oz/99YXF7vC5ndeq6Nq1CM2X+NFd6d6Tbjmr8op65/1VSKnh98l9Edr6OmU3rHEUIIIS7LaDTy53/+5+Pvf+5zn2Nw8P3non/4h3/IoUOHALjpppu48847L/t6TzzxBIqioCgKt9xyy2REfp/t27fzkY985JJi4e/+7u9OybEnWu6c6QghdKdpGqM/eh7SaZyNC3DNnZ5D09VkgsEXfkHg4B4gMxx+9oZPYbI6dE4mRO5JJ+O0vvYEaiyGbVYtJVvu1zuSEEKIaezCDkPI/mKS0erAYLKgphKk/GNYikr0joS1OLO6O9kzoHOSy7NUl6NYzKSCMSJdozhrsn/2nbhUuGME/5FuMCi4NqzUO84Vaak0kX3HAHAvWqpzmmsT62on3HKSeHc3sz41vTsDCSGEyG1f+tKXeOaZZ9i6dSvHjx9nyZIlfOlLX2LBggWMjo7y5JNP8vbbbwOQl5fHd77znRs+5rlz5/j3f//3Sx47cuTI+NsHDx7kT//0Ty/5+ObNm9m8efMljx06dOiSYuGdd95JTU0Nzz777Icev6ioiJtvvvkG/gSTQwqGQoirFj10ktixM2AyUnzX9Lzpnxgdpu8n3yPe3wOKQsXyuyhbvAlFkQ3ZQlwrTdPoeOunxHz9GF1uKh7+PEoOrcoWQgiRg5TcaUmqKAoWVz4x3wBJX3YUDC0lmYJhIkt3GComI5baKuKnzxE41iMFwxzU92LmRpx9yXxMBV6d01xZ7GQrajCM0enCUdugd5xrEmlrAcBd3oCiyBxxIYQQ2ctkMvHzn/+cT3/607zwwgv09/fzV3/1V+97XlVVFT/96U9ZuHDhDR+zo6ODv/mbv/nAjx85cuSSAuKFnJcrGIbD4fH3X3nlFV555ZUrHn/jxo28+eab1xZ6CsgdcCHEVdGSKcaefBGA/LUbsRQW65xockTaWoj392B0upiz5cuUL7lVioVCXKeBY28ydu4wGAxUPPwoJrdH70hCCCGmufEdhjlQMASwuPIBsmaO4YWWpKmBEbRkdrYwtDXWAuA72q1zEnGt0vEkA68eB8C9abXOaa5OeNchAFwLl+RE+9T3ulAw9FTO0TmJEEIIcWVut5vnn3+eZ599lgcffJDq6mqsVitFRUWsXr2ar3/96xw7dox169bpHXVak2X+QoirEnztHVKDIxhdbgo33KZ3nEnjXb4Gc2+YgoblWJx5escRImdFhrvp2ZtZZFBy90ex19TqnEgIIcSMkEM7DOHiHMOUb0znJBkmtxeDzYYai5EcGMZSVaZ3pPexzquF58F/uAtN02TnVA4Z2n6GVCiOsSgfW1P2F7G0RJLIgUyB05Nj7UjTsdj47HB3efb/XQshhBAX3H///dx///V3tnv00Ud59NFHr/i8W265ZUKuGa72eLlCCoZCiCtKB0L4nnsdgKLbPoLBatM50cRRkwlGtr1MwYbbMdrteDrBs+RWvWMJkfNSSysp8N9Oyu/Du1JWfwkhhJgaJqONkoUbUAy5sRPIVVZLzBzFWlahdxTgfJvU4jJiXe0keways2DYUINiMhAfChHr82OvyNM7krhKfS8cBsC9cRWKIfu7uESPnkaLxjF58rBVz9Y7zjWJdrSCqmJ1F2J1F+gdRwghhBA5QgqGQogr8v1iK1o0jrW8Ek/zCr3jTJhUMEDvk/9BrLuTxOAA8zZ8Ue9IQkwbisFA0eYtsvJfCCHElDKb7VSvyZ1Z2wX1yzBvXq53jEtYSkrHC4bZyGC1YJldTfxsB77DXVIwzBGhtiECJ/pQjAZc63PjmjK8OzO3yL2oOScKnO81Pr+wQnYXCiGEEOLq5dYZjxBiyiV7Bwlt3wNA8V0P5NyF0geJ9XXT+Z1vEOvuxGC3Uzlnk96RhMh5kZFeWl75Lr7S2PhjUiwUQgghcou1OLOrMJGlBUMA67w6AHyHu3ROIq7Whd2F9qULMea5dU5zZWosTvTQSQDcOdaOFEBLpVDMFikYCiGEEOKayA5DIcSH8v3iVdA0nPMW4phdr3ecCRE8fpj+XzyJlkxg9RbTcPtvYPMW6x1LiJylaRpDJ9+he+9zmZsTr/2K0ns+pncsIYQQM5CmqSTCfjQ1jcWVnxMLVzRVJeX3YfJ4UYz6t1K1lpYDkOzu1znJB7MtqCfwwhv4DnZKN4MckI4mGXgtU3xzbVqlc5qrEz10Ci2RxFxQhLW8Su8416z03o9TcvdHcXWoekcRQgghRA6RgqEQ4gPF27qI7DsGikLRbR/RO84N0zSN0e1bGdn2MgCeyrnUbvosJqtd52RC5K5UPELH2z/D134UAGfjAoo23alzKiGEEDNVKhXn6E/+CoBlX/h/QdG/AHcl5/7uL0jFwtT81/+JtbhU7zhYzs9TTA2OosbiGGxWnRO9n62hBoPFRGIkTKRzFGdNod6RxIcYfOMk6UgCU0khtvm5sQg1vPv8vMWm5pwtSHu6DWCcHh2ChBBCCDE15MxBCHFZmqbhe+p8YW3JCqwlZTonunFqLIp//24AShZuoOGO35BioRA3IDTQzsln/iFTLDQaKd5yPxWP/AZGp0vvaEIIIWao997Y19Tc2FljdngBSI4M65wkw+R0YXS5QdOydo6hYjFjmTMbAN+BDn3DiA+laRo9zx4CwL1pdU6MuFAjMaJHTwOZ+YW5Rk2l9I4ghBBCiByV/WdqQghdxI6fJXayFUxGCjdPj91CRruDykceo+bmT1C95n4UQ/avOBciW0WGuzn9q2+TCI9hLihk1he/Qv66jTm7AlsIIcT0oCgXL3E1LTcKhlZPEQDJ0ewoGAJYSzO7DBNdWdyWdH4DAGMHOnVOIj6M/0g34bYhDDYTrg0r9Y5zVSIHj0MqjaW4FEtJud5xrln3E/9M+z/9HaGBc3pHEUIIIUSOkYKhEOJ9NFXF93Rmd2Heypsw5xXonOj6paMRIq1nxt8vildQNHe1jomEyD2peITR1gOMth0CIFijkFxUimIw4F60lFm/+d+xVVbrG1IIIYTg1wqGObLD0OrJtNNMjo3onOQia9n5OYZdfTon+WC2hZmCoe9wF1o6N/6tZ6KeZw4C4Fi7HIMzN7q7hHcfAXKzHamaTBDr6SQxPIjZ7tY7jhBCCCFyjMwwFEK8T2TfMRLtPSg2CwUbbtM7znVLBfx0/+BfSQ4PUvnZL1NqbNA7khA5IZ2MExnqIjRwjkBvC6HBc6CqWErLMW9aCoDBYqH6i/8Va3lVzt1IEUIIMX29t2CIltYvyDWwujM7DBPZuMOwO3t3GFpqKjA4bKQjMYKn+/EsqNA7kvg1sYEAw++cBcB92zqd01yddChM7HgLkCkY5ppYdyek05gdHixume0phBBCiGsjBUMhxCW0VBrfz18FoGDtJkw5OossMTJE9/e+Q8o3itnhweN3Qu5ulBRiyrS+/j18ncfg13ZlWErKcDbOR1PV8dkztgrZVSiEECK7XNqSVNMxydUb32E4mp07DDVNy8rFQYrBgG1+PZH9xxk72CkFwyzU+9whUDVsCxuwVJbqHeeqRPYfh7SKtawCS3FuZH6vaEcbAK7S2qz8fyuEEEKI7CYFQyHEJUJv7yc1MIzR6SJ/3Ua941yXWF83Pd//V9LhEFZ3IXPuehyrrK4U4hKaphLoPo2/8wR5n/rY+A2FtNcCqorR7cFRU4e9pg7HnPlYCuT/kBBCiNygKAY0Tc2dlqTnz1OTvtFLFuboyVxUCgYDaiRGetSPqTBP70iXZVvQkCkYHuik5pE1escR75GOJen71VEgd3YXAkT2XGxHmovGC4ZldTonEUIIIUQukoKhEGKclkzhf+51AArW34rBatM50bULnz1N70+eQEvEsRdUMGfLl2V2gxDvkYwGGT6zh+HTu0gERwGwnluCo24OAIW33E7R5i2Y8vJlVbIQQoicVFG+krjHgMFk1jvKVbE488ivW4pSVYiWSqFYLHpHwmAyYSkqITHYT6KrL3sLhufnGAZO9JKOJjHac+PffCYY3HaSVDCGqbgA+5J5ese5KulAiNiJVgBcTUt1TnPtNFUl2tUBgKtUCoZCCCGEuHZSMBRCjAtt30t61I/R7cG7cq3eca5ZrK+b3h/9G1o6jbu8gfrbHsVosesdSwjdaZpGqL+VoZPvMNZ5DNKZmU4Gmx3P0pWYC4rGn2spLNYrphBCCDEh5jbej7/eqneMq6YYDNRt+gzBmuxaqGMtq8gUDDt6cTTP1zvOZZlKizAW5pEe8eE70kXhaimSZANN0+j55SEA3JvXZMWu2asR2XcMNA1rRXVOdtdIDA2gJeIYzFbs+WV6xxFCCCFEDpKCoRACADWRxP/CNgAKN96Owaz/yuZrZS2twNXUjNGfpPaWRzAY5VucEACB7lOcffXfxt+3VdXgXbkO98IlGLJgF4MQQgghso+tvIrgkQMkOnv1jvKBFEXB3tRIaPsexva1S8EwS/iP9RBuHcJgNeHcsELvOFctvPswkLvtSBWjEc+y1ZhDWs4UaYUQQgiRXeRuuhACgNAbu0n7gpi8+XiWrdY7zjXRNA1FUVAMBuYsexgAxWDUOZUQ+lLTKQxGE8EaBaV6HrZTtVhLyvCuXIetvFLveEIIIcSkSaViJKNJTFZ7zpwTappK0hdASyWxFJXoHQcA6/nzhURH9hYMAWxNcwht38Povna9o4jzep89CIBjzTKMTofOaa5OyhcgfqYdAHfTEn3DXCdLUQllDzyMu0PTO4oQQgghcpQsORJCoMYT+F98E4CCjbdhMOXOWgL//l30/+LHaKqKu0NDMRhz5saQEJMhnYjSs/dFjv3y/8VflgAyrc6qH/sdSu97SIqFQgghpr3de7/JkR//BZGR7C50vdfw6T2c+4e/YvClZ/WOMs5aXgVAeniMdCiic5oPZl/QAAaFaNcYsYGA3nFmvPhwkOG3zwLgvi13xlxE9h4FTcNWVYM5r0DvOEIIIYQQupCCoRCC4OvvogZCmPML8C5dpXecq+bb/TYDv/wZwcP7Sb5xQO84QuhKTSUYPP4Wx576X/Qf2UZybITgsYPjH5e2REIIIWYKRcksHtPUtM5Jrp7Nm5knnBwZ1jnJRUa7HXN+pnCSzW1JDU471rpZAIzubdc3jKD3hSNoaRXr3Fos1eV6x7lqkT1HgNxtR6qmUsR6u9HSufN9TwghhBDZJ3e2EQkhJoUajRP41XYACm65A8WYG7vzRt9+g+FXnwegpGkjBfXLdE4khD4SYT9DJ3cydOpd0vHM6n9zUQnFd9yDc+5CndMJIYQQU8+gZBbJ5FLB0OopBiDpG0VLpVCypOOHtbyS5NgoyY7ezE6+LGVbNIf42Q7G9rVTcc9ivePMWGoiRd8L5wtvt+bO7sLUiI94SwcoCq4cbUca7+um67v/hMWVz6KH/1TvOEIIIYTIUdlxFSKE0E3wtXdQQxHMhcV4Fi/XO85VGXt3x3ixsGzJbVQs34KiKDqnEmLqpeIRjj39t2ipFADm/ALyb9qEd/manCn+CyGEEBNNMWQuc3OpYGh2eDCYLKipBEnfaBbNMawidOIo8SyfY2hvasT/zGuMHexES6soRumsoIeht1pI+iIY8z04luXOwrULuwvts2oxe/L0DXOdYj1dANjzy3ROIoQQQohcJgVDIWYwNRIj8PIOAApzZHdh4PA+hs7PdilfegcVy+7UN5AQU0jTNCLDXTiLZxGsUQAnzsYFpMMh8tZuwDWvSVqPCiGEmPFycYehoihYPUVER3tJjAxlUcEwM/s4mcUtSQEstVUYnA7S4QiBk314m2Rmsx56ns20w3dtWo1iyv5rywvCOd6OFCDW0wmAo6ha5yRCCCGEyGVSMBRiBgu88hZqOIqluBT3oqV6x7midCTMwPM/B6Bk4XrKl96hcyIhpkY6EWO07SBDp94lOtrL7K/8IRYyrcvKPvYIBrNZ54RCCCFE9sjFGYYANm8x0dFeksNDMFfvNBm28ioAkn1DqPEEBqtF50SXpxgM2BY2ENlzhNF97VIw1EHgVB/Bk30oJgPujav0jnPVkkOjJM51Z9qRLszNdqRwcYehs3iWzkmEEEIIkctkG4IQM1RycAT/i5nZhYWbt+TEriSjw0nFw5+jsHEVVavvkzakYtoLD3XR8fZTHP7p1+jc+TTRkR4Uk4nE4MD4c6RYKIQQQlxKMeRmwdDqzSwGSgwP6pzkIpPbg9HtAU0jkeW7DO2LGgEY23NO5yQzU9fP9gHgWN2M0evWOc3Vi+w+3450dgMmV+7kfi81mSA5MgSAo1CK5UIIIYS4frLDUIgZSNM0xn74HKRSOOoacS1YrHekD6Umk+NFkTLLPFg/T+dE2UNNJUlGA6TjUQCMVgcmqwOD2SoF1RwWGuyg651fEBnpHn/MXFRC3oq1eJpXYHQ4dUwnhBBCZLfCgjkYi4uwOPP0jnJNPBWNxF0qjtp6vaNcwlZZTfjUcRLnurHNma13nA9kX5TZlhk8M0BiNIylQM6Xpkq0Z4zht84A4NmyQec01ya85zAA7kXN+ga5AYnhIdC0zLWgPTeLnkIIIYTIDlIwFGIGih0/S/TIaTAZKbnnwawuLAWPH2bo5eeoevQ3KQwV6R1nSmmaSjw4SnS0l+hoH9GxPuLBUSqXbcE7awEA/u5TtL3+xPs/WTFgsjqoXHE3RXNXA+eLixE/FndhVv+bC0gtLCb+hh/FaMS1cAneFWux19TJv5sQQghxFWbXbMJfb9U7xjVzl9fDmga9Y7yPreJiwTCbGfPcWGqrSJzrZvidViruye5FkdNJ99P7QQP74rlYqsv0jnPVkv1DJDv7wGjAneWLaD9MYqgfAFteiVwvCCGEEOKGSMFQiBlG0zR8v3gVgLyVN2EpKtE50QcLHjtE39M/BFUl8vo7FK6+T+9IUyI0cI6u3c8RG+tHTSXe9/FE2Df+tnfYiMFgwmSyA5BKRlG1FGgqqVgI3nO9GBo8R8tL38Hs8OAqq8NdVo+rrA5bXqlcWOpM0zSCvWdg7VwURcGIk6rPP47J7ZXdhEIIIYTQla2yGoB4lhcMARzLF2YKhm+dkYLhFEmMReh/5TgAnrtybHfh+XakjtrGnD7ntpZVUnTb3TjjLr2jCCGEECLHScFQiBkmevgUibYuFIuZgvW36h3nA4VbTo4XCwsaVlC18h69I004TdOIjvXh7zqJs3gWnoo5ACgGE5GhTgAMBhNORwlOVxkuZxkORxFurRxrazzzGnl13LLhLy953XQ6SSoVIZmMYkm7sZx/bqh3EMVgJBkJMNZ2iLG2QwDYCyoob76dvNlNKEr2z7KcbhJhHx1vP02g+yRlzkfwLFkOgLW0QudkQgghRG7SNDWz6EoxYDDm1iWv7VSAUcsA5qJizJ48veMAmR2GAKn+YdRIDIPDpnOiD+ZY0YTv6VfwHeoiGYhi9tj1jjTt9fzyIGoihaW2Cuu8Or3jXJPInkzBMJfbkQJYS8qwlpTh7tD0jiKEEEKIHJdbV09CiBuiaRr+Z7YCkLfq5qwd6h7r66H3p9/PFAvrlzF7/cMohulRyNI0lVD/OcbaDuHrOkHy/G7BgobleCrm4G2N40rnY1rwKZzOUuz2QgwG4we+3uV2BhqNZoxGL1ar95LHKytWUlbaTCDQhc9/Dp+vHV+wg+hoL23bvkfj3b+daYUlpoSmaYy07KFrz3Oo8RiK0Ug6GtE7lhBCCJHzTpx6moHth6hadR+lizbqHeeatO/4CYHuU5Tc+3HyVq7TOw4ARqcLU14BKd8o8fZu7Auyr23qBeayYsxVZSS7+xl5t5WyO5v0jjStpaNJen95CADP3RtzqmtJorufZM8AmIy45i3SO44QQgghRFaQgqEQM0h0/3ESHb0oNgsFN23SO85lJf1j9Pzwu2iJOO7yBmqmSbFQU9P0HXqNkbP7SARHxx9XjCYKvPWUmurwnt8JaDSaKSmZnItWo9FMfn4d+fmZ1b/JZISu7p2MpvtwlV1cERwZ6cWeX4ryIcVKcf00NU37jicZbT0IgK1qFqUPfBJrSe7MfBFCCCGylUHJnL+oakrnJNfOlldKoPsUiaEBvaNcwlZZTcg3SqK9J6sLhpDZZejv7mforRYpGE6y/pePkgrGMJUU4li+UO841yRyvh2ps34eRnvu7kTV0mlCp49jLSlD04pyqmgrhBBCiOwjBUMhZghNVfE9m9ldmL96I0Znds43GHrledLBALa8MupufTTn2ki9l5pOXcyvGBhrP0IiOIrBbKW0sIni4oXk59VhNFp0y2g2O6irvZ1aTUNpS+Cvt5KKRzj94rcx2ZzMWvcg3qp5uuWbjjQ1TdsbP8TXfgSMRopuvYv8dbdMi8K4EEIIkQ0udGfQ0rlXMLTnZeaLJ4YGdU5yKVtFNaHjh0m05cAcw5WL8D/7GmP7O0iF45icVr0jTUtaWqX75/sB8GxZn1PnspqmEb7QjrSpWd8wNygxMkTfT57AYLZS8Nm/0TuOEEIIIXJc7t6JF0Jck8ieoyS7B1DsNvLXZW9rptJ7P445DJUrP4LJmpsrPWP+IQaP72Ds3BGaPvHHGM1WFEWhoWIzalmK4qIFuhYJL+fCSlRvaxyfvxsjBhLBEc6+8l3Kl91JxdI7dE44fQT7W/F1HEUxGil/+FFc83JrNbYQQgiR7ZTzOww1Na1zkmtnyysFIDGcfTsMAeLt2V8wNFeUYCorJtU/xMiuNkpvna93pGlpaMcZYv0BDG4nzpuX6x3nmiQ7e0kNDKOYTTl/Ln5hN7Itr1R2FwqRZTRNQ03GSSeipBMx0qkEWiqJmkpg8RRiP/8zPxWPMHJmL5qmgqaiaRpoWuZ9NJzFNXirMz/L1FSC4TN7UBQDitGIwWjBYLZgMJkxmKxYHB4srnwd/9RCiFwnBUMhZgAtmcL381cAKFizEaPdoXOiD2a0O6jb/Fm9Y1wzTdMI9bcycGw7/s6TQGbgfGr/MQqKz7dCKs6Nlkh53hrWrfkfnG19iZ7e3fQdeAWbt5iCuqV6R8tZmqahKArBGgWlZi6l1k9gcnlwNsoNLCGEEGKiGQyZy9xc3GF4oWCY8vtQ4zEMVpvOiTKsFVUApIfHSAdCGD3Z2a0EMgvhHCuaCLzwBkM7zkjBcBJomkbXT/cC4L5tLQaLWedE1yZ8oR3pnPlZ83/seiWGhwCweUt0TiLE9KdpGul4hETETyoSJBkNkowFSUVDJKNB8mcvJq8mc98nPNzFqef+CTT1sq9VsOE2ipbcDUBiJEL3nuc+8Lh5a9ZjqFkAQCoQo+t7z3zgcz1LV1H20U8C4GxNcPhHf47RasdkcWC02jFa7JhsTsx2N87iWeN5AVLxKEaLTRYfCDHDScFQiBkgsHUnqaFRjG4P+etu0TvOJTRNY/iV5zB588lfuwF3h6Z3pGuiplOMtR1i4Nh2oqO9448XFsyluvpm8vPqPuSzs5fRaGFu4/2YzQ7aO96g4+2ncRbPwuou1DtazgkNnKPr3WcpeughbGRW53uXrdY5lRBCCDF9KeMzDHNvh6HJ6sDs8JCMBIgPDmCvrtE7EgBGmx1LcSmJoQHirZ04li7QO9KHcq5aROCFNxjdc07akk4C36EuQmcHMVhNuDev1TvONdE0jfDuwwC4Fy3TOc2NS/lGAbC6C3ROIkTu0zSNVCxEPDBMPDBCIuzDVVqLu7weyFzbn3nx2x/8AhX5GGsWAZBw2i4WCw0GjDY7isWKwWxGMZsxutzjn2aw2nAvWZ4p1CkGMCgX31YU7LNqx5+rmEy4mppBTaOl0qjJBFoigZpMoCYSmN7zur7iCGoqgZpKkAz73xfX07wC44ZMXjWZ5Oxf/SmK0YzFlYfF+Z5frjwsci9IiBlDCoZCTHNpfxD/c9sAKLrtIxis2XWxPPbWNsbe2Q5AkbUOCit1TnRtEqEx2nf8BNBQjGYqSpdSVbkOp3N6rPCcXbOZsbFW/IFOzr3xI+be8zso5+cCiQ+XioXp3vM8Iy2Z1dfDr71E1ee+rHMqIYQQYvobn2GYgwVDAHt+GclIgMRgX9YUDAFsVTXnC4ZdWV8wNFeXX2xL+m4rpbdld95c0/WzzPmt8+aVGN1OndNcm0RrF+kRH4rNgnNO7u8+TfrGAKQFoRDXKR4coXf/S8T8w8QDQ6QTsUs+XrD+VljTAEDSmw8vgtHhxOhyY3K5MbrcGJ2Zt+01Fwt75vxCan//zzHaHChm84fu2jO53JR/7JGrymt0OKn4xOeu6rkmp5vZ/88fo0ajpKMR1Fjm93Q4TDocxFY1a/y56UgIAC2dJO4fIu4fuuS13Iuk45QQM4UUDIWY5nw/fxUtFsdaUY1nSXbNlggeO8Tway8CULX6Phw5UCzUNI2YbwB7fhkANm8xFeUrsNnyqaxYhdmcve1er4fBYGTB/IfZc/BbGK0O1FQCoyU3Z0tOFU3TGG09QNfeX5KOhAHwLF9N0W0f0TmZEEIIMTM4naXkzV6Eo6BC7yjXpXjeOmzLl2CvnaN3lEvYqmsIHNxDorVT7yhXpCgKzlWL8D+3jaHtp6VgOIFCbUOM7W0Hg4L7zpv1jnPNLuwudDU2YbBk11z565H0S8FQiA+iaSrxwAjR0T6iY31Ex/qJjvXhWr6cwlvuACDpMzL6s4MXP0lRMHnyMBcUYc7Lx3p+hi+AyZNHw599HYP5ym2YFaMRsydvov9I10QxGrEUFF3Vc83efBr+7Oukgn5Sfh8pv4+k30cq4CPlG8NaXkXw6MErv5AQIudJwVCIaSzR0UvorX0AlNz1AIrBoHOii2I9nfT/4scAlCzcQGnTRp0TXVl4sIPuvS8QHuxg4cf+B1ZPEd7WON65H9U72qSy2/NZ2fzbJJoqpJf9FcQCw3TufJpgbwsAlpIySu/7BPZZs/UNJoQQQswgJcVNWNdk10K5a5E3exHGmuw757qw2zF+rgtNVbPq2uJyHKuX4H9uG6P7OkiFYphcuT2rLlt0P70fAMfyJswludWiTlNVInsz8wunw24ZTdNInS8YWqVgKMS4ZDRI27YfEBnpRk3G3/dxc//FcTImj5eiO+7BUliMubAYc37hBxYEFYMh63/23QiD2YyloOiyRcZ0LMbwq8/rkEoIMdWkYCjENKVpGqNPvgCahrup+ZLWCHpLBnz0/Pg/0FIpPFXzqVp1r96RPlTMP0TPvl/ha89cXCpGE+qxNryl7it85vThcBThaEvgr8+0tFXTKQxG+RHy64aiZwj2tqCYTBTecgf5625BMcnfkxBCCCFyn6W4DIPVihqLk+wZwFJdrnekD2WpLMVcUUKyd5Dhd1opu2Oh3pFyXmwgwOC2kwB47tqgc5prFz99jrQviMFmx1k/V+84N07TKL3/YYzto5ideXqnEWJKpeIRwoMdhAbaCQ+2Y8svJf+THwNASzsJP9WJlkyimExYSsqxlpZhLSnHUlqOtfTizy/FYKDg5s16/TGEECLryF1MIaap6KGTxE+1gclE0R336B1nnJpK0fuj/yAdDGDLK6Nu02eydoWWpqbpP/IGfQdfPT8DR6G8bBm1s2/FZsvTO54unKcDHB94kVQ8Sv1tX5Adh+8RrFHwVq8lMTJE3qqbsBQW6x1JCCGEmLE0TQNNy9rzzCuJdrUTH+jDvbAZoz072sErBgO2yllE2lqIn+3M+oIhgGP1YvzPvMbQm6elYDgBOn+0Cy2lYlvYgLWu+sqfkGXCu863I12weFos6lMMBjyLl+H2anpHEWLSaZrG6Nn9hAbOERpoJ+brv+Tj8XSIC/tsFaOR8oc+hzk/H0tRKYrROPWBhRAiR+X+GZIQ4n20VJqxn74EQMHajZjzCnROdJFiNOJZspzRoJ+GOx7DaMnO1kCapnL6hW8THuoAoCB/Dg31d+FylemcTF/R2CijrQfR1DRjbQcpqF+mdyRdBfta6T71GhWf+gIGrCgGAyV3PaB3LCGEEGJG6x84xIk3n8JT2cicLV/WO851GfzJj4gHR7AUFOGoy55Zhrbq2ZmCYWsn7k2r9Y5zRc6VmYLh2P4OkoEoZk92FF9zUbTPT/8rxwHwPnC7zmmunZZKEdl3FADPNGhHKsR0lwiNEfMP4qnM7AYOzTbQ+9zrJIYHx59jLizGXj0b26zZ2KtqLvl81zxZJCKEENdDCoZCTEOh7XtI9Q9hdLrIX3+r3nEuoSgK+es2Ulm8KmuLhQCKYiCvZiGxwBBzaz9CaWmz7KYD3K5yZs+6hXPtr9N3+HXy65bO2L+X0dYDtL/1E7R0mpHtr1J8R3a31hVCCCFmCkUxABqqmtI7ynWz5ZcRD44QH+zLroLh+Ruy8bOdOie5OuaKEsxVZSS7+xneeZbyuxbpHSlndf5oF1paxdY0B9ucmit/QpaJHmtBDUcxutzYaxv0jjMhYn09pAI+LMkyrO7sWSQsxPVIxcIEelsInv8VD46gWCw0/NHfjO8Q9CxdRToSxj6rFlt1DSbXzBkTI4QQU0UKhkJMM2osju/Z1wAo3HQnRlt2FOUibS1YK6ox2my4OzTIwmKhr+MYJpsTV2lm3uMcx1pqlzdjsbh0TpZdqirX0dHzNrGxfsKD7eN/XzOFpqbp2f8SA0feAMC1YBGFm+7UOZUQQgghLjAomctcLZ27BUN7fjn+zuPEB/r0jnIJe3WmUJTqHyIdimB0OXROdGXOVYvxdfcz9OZpKRhep2ivj/5XM7sL83JwdyFAeNchANxNzTnbqvjXBQ7uwbfrLdKLNlG1KnvGkAhxLYbP7GHo5DtERrpBe097XUXBWlxGKhTA7M00Gy1YL7MGhRBisknBUIhpJrj1HdRgGHNBEd7la/SOA0C0u4OeH34Xc34h827/LbBn1yqwVCxEx86n8bUfxZZXxprFv4PBYASDUYqFl2E22/E4K/D5zpEIjcEMKhgmo0HOvfFDgn1nAci/6RaKbr9n2tx0EEIIIaYDxZDZiaCpqs5Jrp+9IDMfMNGfXQVDo8OJubCY5MgQ8bMdOJrn6x3pihyrF+P7xauMHewkMRbBkp/9Rc5s0/nj3aBq2JoasTbM0jvONVNjcaIHTgDgXjR9RiqkI2EAzHa5ZhW5IRH24+86Qf7sxZhsToI1CqH2IJHhLgAsJWU46ufiqGvAXlOH0SZtpIUQYqpJwVCIaUQNRwm8tB2Aws13ZsVg51QoSN9PnkBLpbDbCzFZnXpHukSg5zTtO35CMhJAMRgp9cxF01RA/7+7bGY2ZW60pOJRnZNMnchIL2e3/hvJsB/FYqHsgU/ibmrWO5YQQgghfo1BuVAwzN0dho6CCgDig31oqppVi5Pss2ozBcOW3CgYmkuLsNRWkTjXzdCO01TeL/PrrsWluwtv0znN9YkcOIGWSGIuKMRWlXsFzw+ixmIAGK1SVBHZSdNUIsPd+LtO4Os8QXSkB4BEhR3P3Mz3YnfTEkweD876uZg8Xj3jCiGEQAqGQkwr/pd3oEZiWErKcDfpfyGsqSr9T/+IVMCPzVtC7cZHsuZmh5pO0bPvVwweyxRYHY5iFs5/GLe7QudkucFkylyUphMzp2AYn+NGfU3FXFRCxScfxVpSpnckIYQQQlzGhfNNLZ3WOcn1s3qKMJgsqMkEyZEhLMWlekcaZ581m8DBPcRb2vWOctWcq5eQONfN4LZTUjC8RuO7Cxfl5u5CeE870sXLp9X89XQscy1mtEjBUGSXeGCEvsOv4e86SSoavPgBRcFWVYPBYhl/yFJYjKWwWIeUQgghLkcKhkJME+lAiOCrOwEo3LwlKwpzI2++SqTtDIrZQt2tn8eYJXMLk9EQLS9/h+hoLwCVFatpqL8Lo9Fyhc8UF3i9s4g50tjySvSOMiWCNQomPFR97nFMeQVZMxtUCCGEEO93YYahquZuwVAxGLDnlxEe6iTe35tlBcNMO/rEuW60VArFlP23FRyrFzP20xcJHO8l2uvDXpGnd6SccMnuwvtzc3dhOhAidqwFAM/i6dOOFECVgqHIEulknFQsjNVdAEB4lpGRp/YAYLBacTTMw9m4AGfjfExOaaErhBDZLPvP7IUQV8X/4pto8QTWimpc8xfpHYdwy0lGt28FoGbdx7HnZ89uLJPNgcnmwmRzsqDhQYqKsr+VUrapKF+Bs/4mvWNMKk3T6D/0Gswtx0Xm/5S1THagCiGEENnObHbgqZyL2eHRO8oNqVhxF9FSA9aKar2jXMJcVILB4USNhEm09+bErjNTvhfbwkZix87Q9+IR6r60Qe9IOWE67C6M7DkKqoq1ogpL0fRa7HihYGiSgqHQQToRw9dxDF/HUfw9p7DPbqDqc18GwEw+Rbffg7WiCkdNXU4sLBFCCJEh37GFmAZSY36Cr+8CoOjWu3Rvs6KpKkOvPA+aRtG8tRQ2LNc1D2RWvCkGIwajCUUxsLjmY1CjYbXm9o0kMTk0TaXr3WcZOrkT5YiJ2V/5Q8x5BXrHEkIIIcRVcDiKmLPly3rHuGGeikaUmuxrn6goCvbq2YRPHyfe0p4zhST3plXEjp2h/5XjzH70JgxmmVn+YabD7kKA8K6DAHgW639NOtGkJamYamoqib/rBKNtB/F3n0RLXZwVnPKNoqXTKMbM99aC9Zv1iimEEOIGSMFQiGnA/9w2SKWw19ThaJirdxwUg4Gqz/8mwRe2UrX6Pr3jkAiNcXbrf+AsnsWsmz5OXlsCrG69Y+U8TU2jppJZ02p2oqjpFO3bn2Ts3CFQFIruvFeKhUIIIYQQ72GflSkYxs52kCvL7+xL5mPMc5P0BRl55yzFG/W/bspm02F3YXJwhPjZTlAU3E3NeseZUJqmUXrPx0jHopjs0uJRTI3TO/+TyNnT4+9bikpwLVyCe+FiLKUVui9eF0IIceOkYChEjksOjRLasReAwizYXXiBye1h1roH9Y5BaKCd1tefIBUNkowEmFtwC8iuwhs2OtbKoTf/HXt+OQse/H2940yYdDJO62tPEOw9A0YjZQ9+Gs+ipXrHEkIIIcQMFTi8n3hfDwUbbsXocOodZ9yFOYbxlg40Tcuaa5APo5iMONevIPD8G/S+cEQKhh9iuuwujOw6DICjtgGTx6tzmomlKAqe5pW4OzS9o4hpSNM0woPtjJ49QMXyO4nOzSy4ds1rIjE8hHtRM55FS6VIKIQQ05AUDIXIcf5fvg5pFUf9XByz63XNEjx+GFQV96KlWXHhMnxmD507n0ZT07icZSxa9FlpQTpBTKbMrsJUPKJzkomTjAQ4u/XfiQx3o1gsVHzyCzizYMeuEEIIIa5NPB7g4Pf/EYCln/tbndPcmLGtrxAPDOOYMw9nfaPeccZZK6rBZEQNhEgNjGAuK9I70lVxb1xF4IU38B3sJNI9hqMqX+9IWanzR7tyfnehpmmEdx0CwD0N25EKMRlivkFGWw8w0nqARHAEAKWhnDxuAsC7fA3eleukSCiEENOYFAyFyGHJoVHC72RmMhTeukXXLImRIQae/QlqPI5jzAQ1TbplUdMpunY9y/CpdwEoKlrAgnkPYTJZdcs03aRSmXkZBpNZ5yQTZ/j0biLD3RgcTio/80XsVTV6RxJCCCHEdVAUBTUZB8iZ3W8fxF5QQTwwTLyvJ6sKhgazGVt5NbGuduIt7TlTMDQV5WNfNJfokdP0vXiY+sdv0TtS1gm1DdG/9QSQ27sLEx29JHsHwWTCtWCR3nEmnJpIEOtqRxvQ8FRmz/cGkXvSiRjDZ/Yw2nqAyHDX+OOKxYJ7wWKs5VUXHzPK7FchhJjupGAoRA4L/Go7qCqO+kZdixtaOk3f0z9EjcdxldbhrZ6vWxaA1teeINB9ElConX0rs2tuQVEMumaabkLBPiBzE2s6CNYoOKtvI88aJW/VOiyFxXpHEkIIIcR1UpT33NDUNMjhgqGjqApf+xHifd16R3kfe00dsa52YmfO4Vq/Qu84V821aTXRI6fpf/k4sx+9CaN1+iyAu1GaptH6L2+CquFYsShndxcChHceAMA9rwmjza5zmomXCvrp/t6/YDDbWPq5v9E7jshhgfIU3T96HlQVDAac9XNxL1mOa95CDBZZdC2EEDONFAyFyFEpX4DQW/sAKNig78rPke1bifd0YbDZqd30CIpB31VnJQtuIjzUQVPjQxQWSkvJyRAMZQqGjsJKnZPcmED3abTVDRgwoRgMlNx1v96RhBBCCHGD3rtQTNNUFHJ34diFc61YX4/OSd7PPruOsbe3ET/TrneUa2JfMg9jYR6pER9D289QdsdCvSNljdHd5/Ad6EQxG8n7hL4dbG6ElkpfbEfanDvF7GuhGDO38zQ1pXMSkSs0TSMy3M3I2b0kIwFKHvsCACbc5K/biMmTh7upGZPLrXNSIYQQepKCoRA5Kvjy25BKY6uejV3H2YXRrnZGd7wGQM3aj2Fx5umSQ1PT44XKWYk6Klb+/vicPTHxQqFeABw5usNQ0zQGjmyjZ9+vcPcvp+zBT+d0uzIhhBBCXHRJwVBNgzF3L3svFAyTI0Oo8TgGa/bs9rBX14KikBoYIeULYMrLjVnhisGA+5bV+H7+Cr3PH5aC4XlqKk3bv24HwH3rTZhLCnVOdP2ix86gBsMYnS6c9dNzAemF1pBaOp3zrZfF5ErFQoycPcDwmd3ExvrHH88bHcFSkPl/XnzHvXrFE0IIkWVy98pJiBksHQoTfGMXAAUbb9Pt4kBNxOn/+Y9BVSmoX0pB3VJdcgR6W+jc+TQNd3yR0uHMjQopFk6edDpJODoMgD0HdxhqaprOd37B8OnM/yGT05Xz7cqEEEIIcdElreg1Vb8gE8Bsd2N2eEhGAsT7e7HX1OodaZzRbsdaWkG8v4f4mXZMqxbrHemquTaswP/LrQRP9hE6O4iroUTvSLrre/EIkc5RDG4n3ns36R3nhoTfOQiAe/GyaTtz7eKfS8t8n1Om559TXL/wUCcDR9/E13kMLZ0GQDGZcM1fhKd5Jea8fH0DCiGEyEq525tFiBksuPUdtHgCa1klzjn6zQsMnT5BcnQYs9NL9doHdckwdu4IZ1/5LvHAMCNvvapLhplGVVOULd5Mfm0zZkdurCS/QFPTtG37QaZYqCgU3/1Rirfcj2KQH4dCCCHEdHHpDsPcLhjCxV2G8cE+nZO834UCZvz0OZ2TXBuj1419WRMAvc8f1jmN/lKhGO3feweAvAduw+DM3Zl/ajhK5MAJADzTtB0pXGxJCud3Ugvxa3zmIcbOHUZLp7FWVFFyz8eo+4OvUf7QZ3HOmSfXwEIIIS5LdhgKkWPUaJzga5mLuYINt+raesSzaClGqw3nqBmT1THlxx869S6dO38OaBQXLWRuo8yfmwpms53KFXfpHeOaaZpG57vP4Os4imIyUf7Q53DNb9I7lhBCCCEmnILXOxvVYZoWHQSqVt1HwScewuTx6h3lfeyz6/HtfpvYmdwqGAK4N68hsucIA6+fpO7LGzA5s6fd61Tr+NFuUoEY5ooSXLes0jvODQnvOQKpFJaSMqxludcN5Wq9d+ekmk5jkLt7M5ampvF3n2L41LtYmuaSv3YDAK6KxeT19uBpXoGtfPr+XxBCCDGx5JRCiBwTfGMXajiKuagE1wL92/6UWedB+dQeU9M0+g+9Ru+BlwGoKF/J3Mb7L20/JcSv6T+yjeFT74KiUPbxz0ixUAghhJimFEVh+dIv46+fHgUgW14JSW92Fj7tNXUAJLsHUMPRnNqZZp1bi7mihGTvIAOvnaDyfn3GK+gt2uuj55kDAOQ/fHfOt/AM79wPgKd55fSe6/eefydNTekYROglEfYxfHo3w2d2kwz7ATBHR8hbsx5FUTCYLZTcJYuqhRBCXBspGAqRQ9REksDLbwFQsH6zLi0kNE1jdPtreJpXUODPm/LjA/QeeJn+Q68BMLtmE7Wz9ZvjOBMFAt0kwkWYHZ6c+ntXFlSjHLFSdPvduLOg2C6EEEIIketMLjfmwmKSI0PEWjpwNM/TO9JVUxQF16bVjP3oeXqfP0zFfc05dW47Udq+uwMtpWJrmoNt8Vy949yQZP8Q8bOdoCh4lizXO86kUhSF4jvvA6MRg8midxwxhfzdpxg6uRN/10nQNAAMDifepSvxLl8zI7+PCSGEmDhSMBQih4TfPYgaCGHy5uNZrM8FUPDIfka2vYRv91t4P/bHGM1Tu3JbTSUJdJ8CoKH+bmZV3zylx5/pksko+w9/F+1AkgUf/X3sBVO8vfQ6BWsUnMyl9it/mJXtvIQQQgghPkzkxTcZ87dSdOvdWEuz6/zLXlNHcmSI+Om2nCoYArhuWo7/5y8RaR/Bf7SHvMVVekeaUv6j3Qy/1QIGhfyHP5LzhYbQ25ndhY6GuZjcuTVr/Xrk33QLAMYOTd8gYkoN9Owl2JmZ02mfXY93xVpcCxZjMMktXiGEEDdOfpoIkSM0TSO49fwg+jXrdWkVkwoGGPzVMwCUzls/5cVCAIPJzJwtv0ly32HKymZm2yA99fXvR0snsReUY8sv0zvOh0on43TufArXbbdgoxpAioVCCCHEDPHurr8nuSvOvHt/F6unUO84N8zfeYJw31lccxdmXcHQMbuewIHdxE7n3hxDg8OGY/UyQtv30PvswRlVMNQ0jdbv7ADAtX4llursPre/Ei2dJny+YOhdtlrnNELcOE1N4+s8wfDpXeR/9H6sxaUAeLWbMbq95K1Yg+X8Y0IIIcREkYKhEDkifqqNZHc/isWs2wXQ4Is/R41GcRRVUbZ405QeOzzchbMoU/Qp7DaAFAunnKap9PTuBqB4/k1ZvQI5ERrj7Nb/IDraS3C0k9lf+cOcn8cihBBCiKuXSIZJp+Nomqp3lAnhKKoi2HeWWG833izrtGifXQ9Aor0HNRrHYM+t2ZHuW9cQ2r6HobdbiHSN4qgu0DvSlBjafobgqT4MNjPej96md5wbFj3aQtoXxOhw4pq7UO84UyIdCRPr7UYZs+IqqdE7jpgg8eAow6d3MXxmD6loEADDvtLxeYSO2XU4ZtfpGVEIIcQ0NvUD0IQQ1yWwdScAniUrMdrtU3780KljhE4cBYOBmvUPoximrvjSf3gbp375DQaO7cDbGp+y44pLjY61Eo2OYDDbKKhfpnecDxT1DXDqhW8RHe3F6HRR9rFPS7FQCCGEEDnNUZTZ+Rbr7dI5yfuZ8/Ix5xeAqhJvadc7zjWzzKrA3jwfVI2OH+7SO86USIXitP7zmwC4t2zElJf77TtDb+0FwL1kBcoMac3oP7iXnu9/h4Gjb+odRdwgTU3jaz9Kyyvf5dhTf0v/4ddJRYMYXW7yb95M3qp1ekcUQggxQ8yMsyghclxyaJTowZMA5K2e+pl9ajzG4Au/AKC0aSOOgoopO3b/0Tfo2fciAJbBCMjCSd309GRuoBTOWaFLO9qrER7q5Mxr/4YaCWMpLqXys1/CnDczVokLIYQQ4iKF7O2EcD0c5zttJAb60NLprFsMZa9tIDm2h9ipNuyL5+od55p5H7iN6KGTDL5xippHVuOYlfttbD9M27/tIDESwlRaiOfujXrHuWFpf5Doocz1snfZKp3TTB1rSaYdZcw3oHMScaM0VeXcu0+hRsIAOOobM7MJ5zVl3fd7IYQQ05sUDIXIAaHXd4Gm4ahvxFoy9bMlRne+SSrgw+IuoGLpHVN23IFj2+nZ8wIAtbNvZXbN1LZBFRdFY2MMj54CoGR+dq5uDPSe4ezr/4mWSGCtrKbqM1/C6HTpHUsIIYQQerhQL9Q0XWNMFKu7EKPFRjoRIz7Yj628Uu9Il3DMbiBwYA+xk616R7ku1tmV2JcuIHrwBB0/2MX8P/mI3pEmje9wF30vHAGg8NEHMVjMOie6ceF3DkJaxVY5K+tmfE4my/l7AzH/EGo6hcEot/hygaaq+LtP4e84Rv6nH0IxGAAL+Ws3oMbjeFeswVJQpHdMIYQQM5ScTQiR5dR4gtCOPQDkrVmvS4aCmzejpVIUORswmCxTcsyRlr10734OgNk1m6mdfeuUHFdcXiDQhaIYcJXVYsvLzsHqvW1voyUSOOrmUPGpL2Cw2vSOJIQQQggxIRRFwVGYmWMY7+vOuoKhvbYBOD/HMBLD4Mi987C8B24jevAEg2+eYtZn1uCsmX67DNPxJGf+YSsArltWYZtfr3OiG6dpGqG39gHgWb5a5zRTy+TJw2C1ocZjxP1D2AtmTrE0FyXCfkbO7GHo9C6SYR8A1nNLcdY3AlC48XYd0wkhhBAZUjAUIsuF3zmIGolhLijEOWe+LhkMFgt1c6dulW2g5wztb/0MgFnV66VYmAVKSxZjbJ5POh7WO8plBWsUyss+w+jb2yjYeDuGGTK3RAghhBAfZHyLoa4pJpKjqIrQcAfpSPadj5m9eZgLikiODhM7cw5Hsz7XLTfCUlOBfflCovuP0/GDd1nwp/foHWnCdXz/XaI9YxjzPOR/4m6940yIRGsXyd5BFIsZd1Oz3nGmlKIoWIpLiXV3EPX1S8EwC2maSrCnhaHT7+LrPA6qCoDB4cTbvBJLoewkFEIIkV3kjqoQWUzTNIJbdwKQt3r9+VYVUyfW14O1tHzKjxse6gRNpbRkMfV1d6Io02sGTS7y11sxY8Vsz54Wn5qmEexrgTWNKIDBaqXo1rv0jpU1NFUlHY2QDocyv6KR8QtULvyfUpTM/y/FgNHhxOhyY3K5MVimZiexEEIIMVncrnLipiTKNGrRV958O54HP5K186zstfUkR4eJn2rLyYIhnN9luP84Q9tPE35kDc7a6XMzP9gyQNdTmZ14BZ9/ICd3gV5OaMdeANwLlmC02XVOM/UsJWXEujtkjmGWCg920PLKv46/b59Vi3flOlwLFmMw5347YCGEENPP9Ll6EmIaip9qy6yWtFnwLF05pcdO+sfo+rdvYS0tY+7GL4LNOWXHLm++jcJ4IYUFjSjK1BYrxaVUNY3P14axvknvKJfQNJXu3c8zeHwHhfEtFN4ydbM19aapKulImFTAR8rvJxXwkQz4SAX8pPy+SwuE1zm3SbFYMblcGF0eTG4PluJSrKXlWEvLMecXZu2NSiGEEOKCpc1fxF9v1TvGhDJabCjG7F1I56htILB/d87OMQSwVJfjWLGIyL6jtP/gXRb++b16R5oQWlrlzD+8CqqGY9ViHEsX6B1pQqjROOE9hwHwLF2lcxp9WM/PMYwM9+icRGhqGn/XSZLRILY712Uem1WL7VANtspqvCvWzqgZm0IIIXKTFAyFyGLB7ZnVkp6m5VO+WnLolefRkglMSSNGq2PSj5dOxFAMRgwmM97WOBRNj4vYXNfZtYO2c1spTqxj1k0f0zsOkLkQa9/xU0Zb9wOgmKbvykw1kSA+2Ee8vzfzq6+H+EAfWiJ+1a9hcNgwuF0Y3Q64UOjTtPO/ADS0tEo6GEb1B9GSKbREnORonOToyPteTzGZsBSVYiktw1pajq28Cmt5JUbH1C0qEEIIIWYqd4dGsCY7i4aO2jkAJDr7SIciGF2Tfw0xGbwP3Epk/1GGd5wh1DaEq65Y70g3rPuZA4RaBjG5rBQ8Mj2KoADhXYfQYgnMhcXYZ+f+PMbr4Wycj6aqeJpXwPtP3cUUiPkGGW7Zw0jLPlLRIAabjbrNKzCYLSiKQvWXviJdk4QQQuQMKRgKkaXS4QiRfccA8E7x8PZIWwuhY4dAUahe++Ckn9xqaprW17+HmoqztOEzYJHCQzYIhwc517ENAGfpbH3DnKemErS+/n0C3SfBYKDso5/Es2SF3rEmTDoSJtLWQvjsaWJd7SSGBy+/S1BRMHrdGAu8mPI9GPO9GAu8GPM8GPPcGN0ujG4nBpcDxXT1uwE1TUOLxUn7Q6QDIdL+IOkRH4meAZI9AyS7+9ESSeL9PcT7ewi+53NNeQXYKqqwlldhq6jEVjlLiohCCCHEBBs4+iaDz+0hf91GvMvX6B3nEhe6EiSGBoifbsOxPLs6VFwtS1UZjpWLiew5Qsf332HhV+/XO9INiQ0EaH8iM+bC89BHMHrdOieaGJqmEdy2C4C8letmbEHGUlRCwc0lmXdGps/M1myXTkQZbTvESMtewoMd448bnS48zSvQUikwZ8Y8zNSvTSGEELlJCoZCZKnIu4chlcJSWo61onrKjqul0wy++AsAiuevw1FYMbnH0zQ63n6KYO8ZDCYL8bgPixQMdadpKidP/wJNTeOpmk9B/TK9I5GKRzj76r8THmxHMZspf/jzuBpzeyeqlk4T6+4k3HqayNlTxHq63lcgNLidWGoqsFSXY5lVgXlWOebSomsqBF4tRVFQ7DYMdhvmsvfP7NFUldTwWKZ42NVPoquPREcvqcERUr5RQr5RQieOXHgxrBVVOBvm4aifi726RlqZCiGEmDLv7Pr/UPcrzLv3K5jt06NAApnzocTQANHujqwrGALYaxtIDA0QO9GaswVDyMwyjOw9wvDbZwm2DOCeU6p3pOuiaRot33odNZbC2jgb1/rps9Au0dZFsqsPTKbM7johplBnx5uM7nwt847BgLNhHp6lK3HNXYhiklutQgghcpf8FBMiS4XeyrQj9S5bPaUr0nx7d5IYGsBkc1KxbMukH6/v0FZGWvaCotA075O43ZWTfkxxZT29ewgEOjGYrdTc9DHdV0Vqapozv/pnoqO9GGx2Kj/zReyzanXNdL20dJpI6xkCRw8QPn0cNRa75OPmylJsTXOwzW/AMrsCo9et+9//BYrBgLmkEHNJIbxn9k06HCHZ2Ue8vYdERw+Jcz2kBoaJ93QR7+lidPtWDFYb9roGnPVzcTYuwJyXr+OfRAghxHSmaRqx2BjErvzcXOMoyiwkjHV36pzk8hx1c/Dv2ZnTcwwBzBUlONc0E373EB3ff4emv/qo3pGuy9Cbpxnd1YZiMlD46IMohukzHz74xm4APE3N0tUCCB4/TNfut6lecCfu8pnZnnWyxHwDjJzdj7uiAWXtXAA8zhWETh7Fs3QlniUrMLk9OqcUQgghJoYUDIXIQomOHhIdvWAy4lmyfMqOm46EGXnjFQAqlt+FaZJnF/o6jtF3IHO8uQ33UVQ0b1KPJ65OMhmltTOzWrJy+V1YXPoXdhSDEc/6m0lse5mqzz2ec8PiNVUl1tVB4OgBQscOkY6Exz9mcDqwLWzA3jQHW1MjpgKvjkmvj9HpwDi/Htv8izcnUmN+YsdaiB5rIXa8BTUUIXzyGOGTx4CfY6uahWvBEtwLF2POL9QvvBBCiGlH09LjbyuG6XXJ6yzOFAwTQwOoiQQGi0XnRJdyzK4HRSHZO0jaF8SYl7u7O73330p492FG3m0jcKofz7wyvSNdk0j3KGf+cSsAno9swlxRonOiiZMORYjsPgyAd8U6ndNkh/DZU0TbW+mNv0Jj2W9lzYLDXJWKhc63HN1HZLgLgFByiIrzBUNLUQk1/+V/yN+zEEKIaWd6XT0JMU2EduwDwDVv0ZSulkxHwpjzi1BsSYoaV03qsWL+Ic5tfxKAqsq1VFZO7ZxG8cHaO94gHY9gyyuleL7+F+DBmsxFmLdmDe6mZgxWm86Jrl5iZAj/gd0Ejx4k5Rsbf9zgduJctRjHmiVY62dNq9XeF5jyvbjWr8C1fgWaqpLo6CV29AzRo6eJn+0k1p35Nfzq81grqnEvXIxr4RIsBe9vhSqEEEJcC1V9b8Fwev2MNTu8mOxuUtEg8b4e7DXZ1XHB6HBiLasg3tdD7FQrzjXNeke6buayYpxrlxLeeYC2f93Okr//BIohN4oD6WiSE199nnQkgXVuLd77NusdaUKF396PlkxhLavAVl2jd5ysULjhNoJHDhDqa2W09QCFDVO38Hi60DQNX/sRRs7ux999ElQ184HzLUfdiy8d0yHFQiGEENORFAyFyDJaIkl41yEg0450KlmKSpj15d/FfjqIYpi8WWOaptH+1k9QkzG8nhoa6u+etGOJa2ee24DFf4Kq1fdN6tfBlURH+zh36JeUP/QZTK7M6vRcKBZqqkqk9TS+XW8TPntqfCahYrPgWN6Ec00ztgX1M2qen2IwYK2twlpbhfe+zaR9QSL7jxHed5T4qXPEe7uI93YxvPVFbLNqyVt1E+4Fi2X+hxBCiOuiaer423qey0wGRVFwFlfj7zxBrKcz6wqGAI7aOZmC4YncLhgCeB+4jej+I/iPdNP7/GEq72/WO9IVaZrGmW9uJdw+jNHrpvi3Pj2tzjs1VR1vR+pduU6KNueZ8wsp2HA7I6//iu49z+OtXoDJatc7VtbTNG38a0hRFHpObiPe1w2AtaIKT/MK3E1Lx69HhdCDpmloyQRqPI4aj2V+xWKoyQRaKoWWSqGmkmjpFFoqjZZKgqqinb8Xcf5FLr6tKChGI4rBmPndZAKDAcVowmA2o1gsGCzW878sKBaLfK8VYgaRO3FCZJnIgeOo4Sgmbz6OujlTfnxPlwKOye2/rygKs9d/kt7Xn2bBvI9jmGY3cnJd/uxFeKvnYzDq9yMi6hvg9Kv/QjocYuiV5yj/2CO6Zbla6ViMwKE9+HbvJDkyNP64bVEjrvUrsDfPx2Ax65gwexjz3LhvXYv71rWkAyEi+48T2XeU2Mk2Yp3n6O88x5DLjXf5Grwr1mL25ukdWQghRA65tCXp9DvPdBbNyhQMe7v0jnJZ9roGxt55M+fnGAKYiwvwfuwuxn70PG3f3UHBqlrs5dndPr7vhSMMvnYSDApFv/2pnG4Lezmxk62kBoZRbFY8i2UX3Xvl33QLgcP7SA4P0nvgJWatfVDvSFlJ01TCQ12Mth7A33mc6q/8AUZbZmFq3pqbSQwP4lmyAmtJbrUhFrlFjcdJBXwkA35SAT/pcIh0JEQ6HCYdCV98PxJBjccuLfjpwLG2WdfjCyGmjhQMhcgyobcy7Ug9S1dOWQulSHsrkdYzFNy8GZiaOSg2bzFLlzw2JccSV0fTVAINmVWoehYLw8NdnH3130lHQ1jLKym56wHdslyNeH8vY7t2EDx+CC2eAECxW3HdvAL3rWsxl0mLzQ9j9Lhwb1qNe9NqUmMBQtv3EHpzN2lfkNHtWxl963WcjQvIW7EWR8PcaddaTgghxMQbLxgqhmm5It5ZMgtLcSlmr/5zpi/HUVMHRgOpoVFSQ6OYigv0jnRD3LeuJbLvGPHT5zj996+w5P97KGtbkwbPDHD2/74BQN7Ht2CbW6dzookX2rYLAM/iFRisVp3TZBeDyUTpRx6k+3v/wtDJd/BWzcdbPV/vWFlBTacI9bXi6ziGr/M4yYh//GPhU8fwNK8AwLt0ckeziJlDjcdIjI6QHB3O/BobIenzkQpkfqmx2LW/qKJgsFtRbFYMdhuK1YJiNl38ZTr/y2wCowHecw703vMhTdMglUJLq2ipNKTT53cmptESCbR4EjWeQIvH0eIJ1HhCFj8LMYPkbMHw0Ucf5Xvf+974+3/xF3/BV7/6Vf0CCTEBUr4AsROZlbhTdaKqaRrDW18k1tWOeTSJd9W9k3asyHA36WQMd3kD3tb4pB1HXLtUKsb+g9+hMLWBormrdbu55ms/StuOH6MlE1jLKqj6/G9O6RzPq6VpGtG2FkZ3vkHk7Onxx80VJbhvXYtz3TIMdrmBca1M+R7yHrgN7z2biBw4TvD1d4mfPkf41DHCp45hKS6lYMOtuJuWTqvWWkKI6UmuV/RlL6i4pDXpdOKpnMvsdf9T7xgfyGC1YauYRayrndjJVlw5XjBUDAYKf+Pj9P/5P+I/3JW1rUlT4Tgn/voFtGQa+9IFeO7aoHekCZcaGiVy4AQAeatu0jlNdnLUN+JpXkHg0D5GY+14kYJhoPs0rdu+j5q8WKBRLFZc85vwLFqGo75Rx3Qil2mqSso/RnxwgMRgP4mhARIjQyRHh0mHQ1f8fMVuxZTvxZjvxehxYXA7MLpdGNxOjG5n5neXA8VhyxQILWbd7tWkwxFC2/fqcmwhxNTKyYLhSy+9dMnFtxDTRWTvUdA0bFU1mPOn5sI6fOYEsa52FLOZ0qaNk3acdCJG2xs/IB4YYeGCh/GWLJ60Y4lr13L2RcLhAZJHtlHYsAzFNDU7TS/QNI2BY2/Ss/dF0DQcDXMp/8TnMNqya+6Glk4TPH6YsZ1vEO/ryTyoKDhWNOG+bS3WxtppuZNhqikmI85Vi3GuWkyiZ4DQm3sIvb2PxNAA/T//MSPbXiF//WY8zSsxyJxDIUQWkusVfVmtXhZ89L/rHWNSuTs0gjXZe87hqJtDrKud6IlWXBtW6h3nhplLCrO6NammaZz5xlZivT6MhXkUfvHj0/KcNPj6rsy1Ql2jtIv8EKX3fQL77Ho8S1cRVBTcHfq2MpwqmqYRHe0l0H0Kq7cE08bMPYdUXhnqKzGMLjeuuQtxzm/CUTsHg1l2TImrl45Gifd1E+/rIT7QR3ywn8TwAFoi8YGfY3A7MRUXYC4txFRSiKkwD2NBHqaCTJEwlxYZS6cfIWaOnLvLFggEePzxxwFwOp2Ew2GdEwkxcSJ7jgDgbmqekuNpqsrwa78CoGT+zZgnaXahpml07HyaeGAYqzWPgvyGSTmOuD7Dwyfp698PKMze8EkMU1wsBFBTCQbb9oCm4V11EyV3PZBVO8jUZBL//ncZe2c7Kd8YAIrFjGv9Ctx33oy5pFDnhNOXpbKUgkfuJe+jtxN8/V0Cr75NcmyEweeeYvTNV8lfdwveFWswWHLnYksIMb3J9YqYKlo6TToWxeR06R3lfRx1cxjdvpX4yVY0TZsWxatsbk3a/9JRht44nZlb+Jufwuh06B1pwqmxOMHtewDIWzv9dk9OJMVkwrts9fj7/ookidf3ZjrJTLO5rqlYiEBPC4GeU/i7T5OKBgFwzJlHFZmCodmbR81v/3csJeVS9BBXJR0JE+vpIt7XTayvh3hvN8mxkcs/2WTEXFaMuaIEc2Up5vJiTCWFmEsKMThsUxtcCCEmQM4VDP/gD/6Arq4uqqureeihh/iHf/gHvSMJMSFSIz7iLR0AuBYumZJjho4fJjHQh8Fqo2zx5kk7zsiZPYy1HQTFQNOChzGbc+cCVlVT+ANdJBJBDAYzNlseblc5kCmExmJj2Gx5KEpuXngkkxFOnX4GgNJFG3GX6TPnJNJgo/KR3yDSegbvynVZc1NJS6fxH9zD6JtbSQV8QGaVoPu2dbhvXYPRlX3tUqcrg8OG995NuO+4idCbewi8vIPUmJ+hl3/J6I7XKNh0B3kr1mVVoVkIMTNNxvVKMhnFZJKbTuKisXNHOPf9J7HPrqPqs1/WO8772Kpno5jNpP1Bkr2DWCpL9Y50w7K1NWnwzABnv31+buGDd2KbU6NzoskRfvsAWjSGubAY55x5esfJGZqm0ffUDwmfOkb/0Tcpb76VwoYVOV841DSN08//E+GhzkseVywWHLVzcM1beMnj1rLKqYwncoimqiQG+4l2tRPr6iDa1U5yZOiyzzUW5WOtqcA8qxxLZRnmihJMpYVyDSqEmFZyqmC4bds2vvvd7wLwf//v/2Xfvn06JxJi4kT2HgXAPqsWszdv0o+npdMMb3sZgLKFt2CyTk4RLxYYpmvXswDUzb4drzf7L2AjkRFGx84wOtrCmK+NdPpii4nSkmYWLvgEAJqW5t3df4/LVU7z4i9gsWTf6u4rOX3mlySSIWx5pVQs2zKlx1bTKcKD7bBmDgCWwmIshcVTmuGDaKpK8NhBRra9THI0s5LQWODFe88mnDcvl4HfOjJYLXjuvBn35jWEdh4g8OKbpIZGGXrxGXy7d1J8xz045y7MmqKzEGJmmazrFbM5u1p0Z7vBwaO0HNiKp2ous9Y+qHecSWFx5aElE8S6O7NyB5/BZMI+q45I62liJ85Oi4IhZF9r0mDLAEf+59Oo8RS2pkY8d0/PnXeaqhJ4bScA+WvWyy6xa6AoCu6FS4h1niMRHKHjrZ/Rd/A1ypbcSuGcFRiM2XtbUNM0EqFRwkOdhAbaSUb8lDz2hfMfVVBdVhgCS0kZzjnzcDbMw1ZTJyMLxIdSUyli3Z1E288SbW8j1tOBGo+/73mm0iIstZVYaiqx1FRgmVWB0ZU7i9+FEOJ65cxP0Ugkwpe+9CU0TePhhx/mnnvukYKhmFbCuw8D4FrUPCXHCxzaS3JkCJPNScnC9ZNyDE1N0779x6ipBHl5ddTMmpzjTKRUKsbuPf+Ihjr+mMVgx2nMRyWNO2LGcqo781w1U0gMhfo4dOQ/Wbrkizl1Q29w8CiDQ0dBMTB746cwmKauCKamkrRt+x7+ntOUuz+Le4p21V6JpmmETx9n+PWXSAz0AWDwuDI72zauQpFCYdZQzCbct6zCtX45oe178T2zleTwIL0//g/ss+sp3nI/tooqvWMKIWaQybxeCdRaKeiakJeaEeKJIPHAMKno9N1RYi+oQDGaUKMRkqPDWbPo6r0cdXPGC4ae22/SO86EyZbWpKGzgxz5H0+TCsawNsyi+Hc+PW0LabGjZ0j1D6PYbXiac38m5lTzLFmOa34Tvr3vMvb2NhKhUTp3PkX/odcoX3YHRY2r9I44LtTfRqC3hfBQJ5HhLlKxS9t6F4RD422YS+55EKPdgcnl1iOqyBHvLRBGzrUS6zqHlkpd8hzFZsFaNwtr/SysDbOw1FdLNyEhxIyVMwXDP/qjP6KtrY2CggK++c1v6h1HiAmVHBwhca4bFAX3wuYpOaa9tgH3kuV4bVUYLZPT4mqs/QjhwQ4MZhsL5n08K9t2RiIjjPnOUlmRmfFgMtnw5tVgiMQpssyi0FqNx1R02VXbJoOFm4s+xW7/c4RCfRw+8gTNSx7DZMqNWWqR6DAoCmVLNuMsqp6y46qpBK2v/SeBnjMoJhMGa3a0WIt2dzD00i+JdbUDoNhteO/eiPv2dRhsufFvOhMpRiPuzWtwrm3G/8KbBF55m2h7K53f+Uc8S1ZQeNtdmD15escUQswAk329MlyRpP+1n9PYcE9OdjWYSqlUDACjOTvOMSaDwWjCUVhJeLCDWHdHdhYM6+fAVoidakNLp6dNy7bx1qR/lmlN2vnj3dR8Zs2UZgi1DnL4D54iFYxhqZ9FyX9/DIN9+n69B17N7C7MW7oGg1XOy6+HwWKl4KZbyFu5Dv++dxl9exuJ0BgBdYCi889JxcLEfAM4iqondTFpKhYm6hsg5hsgNjZAxYq7MJqtBGsU+g/tI3Bw9/hzFaMRS1kF9qoa7LPrMZgt4x+zFk+PnctiYmmaRnJ4kHDLKcJnTxPtaEVLJi95jsHjwjavDtvcWqxzajBXlU3bBRdCCHGtcqJg+M477/B//s//AeDv//7vKS2VkwIxvUR2HwEyq3CnanWcpaCIxhWfntRj5Nc2o6aSOIfBZsub1GNdq0QiTHvHNnp6d6NpGl7PLAq60wCstm5BsV3dKmGXKZ9VnnvY7X+OQLCLI0e/x5LFj2I0Wq78yTrL37yF+SOLsHlLpuyY6WSc1q3/QbDvLIrZQuUjv4Gjbs6UHf9yUsEAw6+9SODgXgAUixn3HTfhuWsDRqe0HMkVBruN/Ie24N60mrGnXyGy6xCBQ3sJnjhE0aa7yFuzftrcqBRCZJ+puF459+aPCA6eIRoZZmnzF2Wm4YdIpzOtxSZrUVy2cBbXnC8YduJZskLvOO9jLavEYLejRqMk2nuw1s/SO9KEMZcUkvfwPYx+/1nan8gUs6aqaBhqG7pYLKyrpnSaFwsTPQPEjreAopC3+ma94+Q8g8VC/rqNeFeuxX9gN+6FzQRdmWvfwJHT9L/4IzAacRZU4iyZjT2/DJPVgdHqwFFY+b7vq5qmoalp1FQSLZ1ETSdRU0ms7sLxouPYuSOMnN1HMuInEfKRioUueQ3bhpXjnUGcDfMgncZWOQtb1SwspRXSYlRcUToaJdJ2hsjZ04TPniblH7vk4+MFwvO/TOXFWdfKWwghskXW/9SNxWI89thjqKrKrbfeyhe+8IUrf5IQOeZCO1L3oqU6J5lYiqJQb1wCWVTjT6VidPfsoqNz+/jNpCLLLKztI2DKA7jmE0e3uZCV3o+wx/c8Pn87R4/9iCWLP5+VOyohc1EXaMhc6DkKp65VVyoWpvW1JwgNtGGwWqn8zJew19RN2fF/nZpI4Nv1FiNvv4YWy3wtOG9aRt7Ht2DK9+iWS9wYU1E+xb/5SeJ33MTYky8Qb+lg6JXnCBw5QOl9D2GrnLrdtEKImWGqrldmrf0op1/8NsFQL4ePfp/mxV/AaJRW2ZdzYYehYdoXDDMFuGh3h85JLk8xGHDUNhA6cZTYidZpVTAEcG9egxqK4PvFq7Q/sRM1lWb259dN6k3ocPswR/7HU6QCMSy1VZlioWN6f50Ht2YKsq75TZjzC3ROM30YzBbyV186MkRNJDC63KRDQcJDnYSHOi/5ePVv/FfsNbW4OzSGTr5D1+7n0NIpQHvf6896/L+Nn3cHusfwdx6/5OOmvAKsxaVYSkox2C5+DbsXLsmacRUiuyXHRgmdOkbo1HGina2QvjhWBpMR29xabE2N2JsaMVeVSoFQCCGuUtYXDP/8z/+c06dPY7fb+c53vnPDrxePx4m/Z5htIBC44dcU4kYkegZIdveD0Yhr/qJJP55//y4i585S3XAr5JdNyjF8HcdwldVT2J09BTNN0+jueZe2c1vHC4VuUxFz3Wspst54AcFrLmGF9252jz7D6FgLkcgwTufU7dy7WpHIMEfanqK2+BFs3qlrXZWKRzj57D+SCI9hsNmo/Ozj2Ktrpuz476WlUvj372Jk+1bSoSAAlrpqCh65d9rdyJrJrHXVlP7R44Te2o/vpy8S7+um81+/gXflOopuvRujPXfmjQohsttEXq982LWKLa+EOXd+iTMv/TN+fzvHTzxJ08JHMBhk9/SvS6aiAJgs0/t7vbMkc94S7+9FTSYxmLOvgOyoayR04ijREy14792kd5wJ571vM5iM+H72Ep0/3IWWVql97OZJuTEd7fVx5H8+TdIXxTK7kpLffwyDc3p/jacDIcI7DwCQt2aDzmmmv7wVa/EuX0PKN0q08xzRznZSvjHS0QjpWBSjMzPTLVijEG4LoaUvbfOIoqCYzCgmE+lYdPxhZ0MjBsvHMXm8mDx5WAqLMFiktay4NpqmEe/rIXTqGOFTx4j3917ycVNZMfZFjdgXNWKdW4vBmv1dn4QQIhtldcFw7969/MM//AMAX/va16ivr7/h1/xf/+t/8bWvfe2GX0eIiRI5v7vQOWceRvvktj/U0mlGd7xGcmyUoGMW9kkoGEZH+2h9/XuY7S5WLfkdrNbsGECeSAQ5d+410uk4LlM+dc7llNvmTOjFfL6lnE0b/4ZUKorRmH0XQLGYn0OH/4NY3EfXu88wZ8uXp+zY0UYnjqaFaC2nqPjko1jLKqbs2Bdomkb41DGGXnmO5OgIAKbiArwP3IZzbbPMLJiGFIMB98aVOJrnMfaTXxF+9yD+PTsJHT9M8Zb7cC9eLitNhRA3ZKKvV650reIoqqLh9t/gzMvfYXjkFKfPPMu8uR/N2q4GeonH/ACYnV6dk0wui6uA/LqlGGaXoaXTkJUFw0zr+XhLB2o8MS1v4Hrv3ohiNDD25It0PbkHLa1S96UNE3qO4T/Ry6m/fZHESBhzVSklv/8bM6J1fnDrO2jJFLbKWbp2JplJFEXBnF+IOb/wQ1sd5626CU/zShSTCcVszrQfNRov+3VvLa3AWjr1138i92maRqynk9CxwwSPH7601aiiYG2cjWPZAuxLF2AuKdQvqBBCTCNZWzBMJBI89thjpNNpli1bxu/93u9NyOv+0R/90SWvFQgEqK6W9mRCH5qmXWxH2jT57UiDxw6RHBvFZHNSNHf1hL++pql0vP0UaCpeR1XWFAsBrFYP8+Y9SLqzk1mORZNWJFAUBbM5+y7eE4kwh45kioVWbzGzN35q0o+ZmWWRIDIn8/dRvOV+Cm+9C6Nt6ldCxwd6GfzVL4meawHA6HXjvW8zro2Zi1wxvRm9booefxjXhhWMfP9ZUn1D9P/8x/j376b0/k9gKZy63bZCiOljMq5XruZaxVVWR92mz9L6+hP09e/HavVSV3vbDR97OrFY3ZhVLxZnvt5RJpWiKNRt+gzBmuxd/GIuLMbkzSPl9xE/0459UaPekSaF5871YDAw9qPn6f7ZPrSUSv1v3XLD1xypSIJz//4Wvc8dAi2z2K3k938Doyv7rjcmmhqLE9z2LgD5N2+SRV5Zxuh0YXTqnUJMR5qmEe/tInjsMMHjh0j5LhYJFYsZ26JGHEsXYF8yD6NbvgiFEGKiZe1d0r/+67/m2LFjGI1Gvvvd72I0TkyrHavVitWafTt/xMyU6OghNTCCYjHjmrtwUo+lqSqjb70OQMnCDRhME7+6d+jku4SHOjCYrTQ23Dvhr38tVDVNe8c2vJ4aCgsbsZzqpoo8cObpmksPqVScw0e/RyQyhNnpZc6dX8Zsn9xibioWom3bD0jZoKrucRSjEcVoxGic2mJhKhxiZNvL+Pe9C5oGJhOeLevx3nMLBpv8LJhpbPPrqfir3yXw8lv4n9tGtL2Vjv/7/1F4y53kr7sFZYLONYQQM8NkXK9c7bVKXk0Ts9d/kr6Dr+JavRYGb/jQ08rips/gr5ef89lAURQc9Y0EDuwhdrxl2hYMATy334RiNDL6/Wfp+cUBtHSmaGgwXd/3hpFdrbR88zXiQyEAnDcvJ/+Td2N0zYwb5KEde1HDUcyFxVMyukMIoa/4YD+Bw/sIHj1Eyjc6/rhitWBvno9z5SJsixqn5U51IYTIJllZMDx8+DB/93d/B8Dv/d7vsWzZMp0TCTE5IruOAOBsXIhhkgvZ4TMnSAz2Y7BaKZ5/04S/fiLso2ffiwA0zL4Dm02/FlCxmI/jJ3+K39+B2exkQ/4nwTD5N41OBXbiPxxmVvV6CgvmTPrxroaqpjh67AcEg90YrQ7mbHkcq7tgUo8ZGe6m9fUnSITGUCwW4oN92MqrJvWYv05LpfDtfpvhHa+iRWMAOFYsIu/huzAXT+6fX2Q3xWTCe88mHKuXMPrEM8SOtzC89UWCRw9R+sDD2Cqm9mtVCJGbsuF6pXDOCvJrl2AwmfG7wdsav/InzRAzrViY9PtIDPThbJyvd5TLctTPJXBgD9HjLUzvPZ/g3rwGjAZGn/gFvb88xPDbLZTdtYiKjyzGWnx1C/YSY2HO/p9tDG0/A2R2FRY8+lHsC7Pj+mIqaKk0gVfeBiD/pltkdIAQ01Qq4Cdw9CDBw/uJ9/eMP65YzNib5+NYuQj74rlSJBRCiCmUlQXDJ554gmQyicFgwGw289d//deXfd6OHTsuefvC8+bOnctDDz00JVmFuF6aqhLec6EdafPkHkvTGN3xGgAlc2/CZJ34XV5du55FTcbxeKqprJj4dqdXa2yslaPHfzw+R3C+Yx3mKSgWAowmeglEhqisWDUlx7sa59q3MeZrw2C2MufOL2PPK53U4422HaT97Z+iJZOYCwqp+NRjWEvLJ/WYvy7S3srg80+TGBoAwDyrnIJP34ttnsw9EReZiwso+f3HCO88wNiTLxDv76HzX79B/tqNFG66E4NFLkqFEB8sW65XDKaLM+vajWdInj5LQ/1d0rpvBknFI5z7338JQP0f/hVGR/btPrswxzDZ1U/aF8SYlz1jCyaDe+MqDBYLo0++QGIkROcPd9H5490Urqmj4t5m8pfXoBgu/h9Vk2li/X4i3WOE24bofno/qWAMDAqeO9fjfeC2GXezPLznCOkRH0an60Pn6Akhco8ajxE8cZTg4f1EzrVkOgEBGI3YF8/FubYZ+5J5M+77nhBCZIusLBhq539YqKrK3/7t317V57zxxhu88cYbANx///1SMBRZL362k/SoH4PVinPO5K4Gjp47S6y7E8VkoqRpw4S/vr/7FL72o6AYmNf4AIqizwrQ0bGzHDn6A1Q1iddcwhLv7ThMU7PTUdNUQqlM2wyXs2xKjnk1vDdvwv1mD6ULN+Asnrx5rZqmMXDkjfFdpo6GeZQ/9BmM9qmbr5IOhxh69XkCB/cCYHA7yfv4nbjWr5BVyeKyFEXBdfNy7IsaGf3R80T2HGFs5xuEThyh9P5PjN/gFEKIX5dt1yuJ0Bjn3vgBmpoGmNFFw8HBo5zZ9zLeWQuZtfajeseZdCarA6uniHhgmFhPF8458/SO9D4mpwtreRXxvm6iJ87iWjf5s9v15lzbjGNlE5EDJwhu20X8VBsj77Qy8k4rtoo8CpbXEBsIEO0ZI9rnB1W75PMtNRUUfOFjWGdX6vQn0I+maQRe2g5A3poNGMzmK3yGECLbaZpGrPMc/gN7CJ44hBZPjH/MOqcG59qlOFYtmjEtl4UQIptlZcFQiJkgsjuzu9A1f9GkXwRZy6souu1uzCPJSZld5yispKBhBc6YDZdraneTXZApFn4fVU1RbJ1Fc94WjMrUfYsLp/2opDEYzNjt2dHy0l9vxYyVOVsen/Sbhn0HX6Xv4KsA5K3dSPGd905ZkU5TVQIH9zD02guo4QgArltWkffxLRhdU1ewFLnL6HVT/NufJrK2mdHvP0tybITuJ/4Zz7LVFN9575QWvoUQ4npYXPlUr/0onTufpqv7bRRFob5uy4wsGkZjoyRCY6TjUb2jTBlncfX5gmFnVhYMARz1jcT7uokdb5kRBUPItEF3rlqMc9ViEj0DhN7YTeSdfcR6ffT2+i59rsWMqawIc1kxtrm1uG5ZNWNnK8eOtZDs6kexWshbtU7vOEKIG5AK+Akc2of/4B6SI0Pjj5tKi3DetBTnmmbMJYU6JhRCZKPnnnuOH/zgB+zdu5f+/n48Hg8NDQ189KMf5fHHH8fj8WTtMWOxGD/96U/5xS9+waFDhxgaGiKVSpGXl8e8efO49dZbeeyxx6iunrxNHTcqKwuG3/jGN/jGN75xxed99atf5Wtf+xoAf/EXf8FXv/rVyQ0mxATR0mnCe48C4G6a/Atmo91OwYbbcHdoV37ydTDb3TRXPYimqZPy+lejr//A+WJhDUvztmBQpvYC+8LuQqezVLcdlhfE4wHGxlqx168BmJKbhZZ1SzCceovCjXeQv27jpB/vgvhAH4PPP0208xwA5qoyCh/9KNaGminLoCctmUKNRFHDUdRIDDUSRUulQNPQLqxU17TxVesGhw2D24nR7cTgdkqbl1/jWLoA27w6xp56mdC2XQQO7CZ85gQlH3kQ14LFM/LGuxDi8rLxeqV43lrQNDrf+TmdXW8BzMiiYSzmB8DiytM3yBRyFM1itPUgse5OvaN8IGd9I2NvbyN2vAVN02bc16WlspSCz9xH3kNbiOw+TLJvCFNJIeayIkxlRRjzPDPu7+SDBH6V2V3oXbZWFm0JkYO0dJpwy0n8+3YRbjk53nJUsVpwrFqMa8MKrA018j1PCPE+oVCIRx55hOeee+6Sx4eGhhgaGuLdd9/lW9/6Fj/72c9Ys2ZN1h3z0KFDfOITn6ClpeV9H7vwem+99RZ/93d/x9e//nW+8pWvTMifYaJlZcFQiOkudqoNNRDC4HDiqG+ckmNORrFQU9MohouFOT0LZfPnfoy8iJ0ax+IpLxYCBJKZ1XIu5+TOCLySVCrOkWM/IBjsodIdoWzx5kk7VjoZx2i2EqxRsFJO7e/+8ZTNzUlHwgxvexn/3ndA0zIrkB+4DfftN6GYpsdqbC2VJjXqIzU4QmpwlNTQxV9pfxA1EkNLJG/oGIrVkikgelyYS4swV5RgrijGXF6CqaRw2vxdXguD3Ubh5x7AuaaZkf/4Oan+Ifp++j2c85oo+ciDmL15ekcUQogPVDx/HZqm0vXuM3R2vUUyFdW1XbweYnEfABZnnq45ppKzeBYAsZ7OrC3G2WbVoljMpH1Bkr2DWCr1PWfWi8FqwbVhpd4xsla8rYvYyVYwGshfO/GjNIQQkycVDODfvxv/vndJBXzjj1vn1OBavwLHysUY7Fb9Agohslo6neahhx7i5ZdfBqC0tJQvfelLLFiwgNHRUZ588kl27txJV1cXd999Nzt37mT+/Bsb8TWRx+zq6mLz5s2MjY0BUFJSwqOPPkpjYyNWq5X29naefPJJTpw4QSwW43d/93dxOBx88YtfvKE/w2SQgqEQOojsPQaAa37TpLaaSYyOMPCLH5O3dgNu1+IJf/2Ot58inYgxr/QOcEx9G4nRsbPk59WhKAZsZ/qoderX3mgw3g5AXl6tbhlUNc2x4z8mGOzBZHOSN3vi/80v8HUe59zOn1Lx8Odx0AAwJcVCTVXxH9jN8LYXUUOZ9qOO5QvJ//S9mArzJv34k0VLpkh09ZE41028rYvEuW6SfUMXB8B/GAVMTismlxWT04piMaEYMjcKFYMCijL+fioYI+GPkvRF0FIqWjxBOp4gPTxGoq3r0tc1GjGXFmKuKMU6ZxbWxloss8pnTHssW+NsKv7yK/ie30bgV9sJnzpGe3sLRbfeTd7Km2QuphAia5UsuBmD0UTHzqfp69tHnnc25WXL9I41ZULBXgBs+dkzU3qyOQorwWgkHQ6R8o1izs++9m4Gsxl7dR2R1tPEjrXM2IKh+HD+X74OgGfRcsx5+TqnEUJciaZpRNtb8e3ZSejUUUhnuk4Z3E5cNy3HtXEl5vJinVMKIXLBv/3bv40X7hYsWMC2bdsoLb14vvg7v/M7/P7v/z7/+3//b8bGxnj88cfZsWNH1hzza1/72nix8I477uCZZ57B4bi0U8Kf/Mmf8Kd/+qf87d/+LQB//Md/zKOPPorJlF0luuxKI8QMoKkqkQPHAXAvbJ7UY/l27SDaeQ5z2gxbJrZ4FB3tY6RlH6CRLLgJmLobE5qm0dG5g7Zzr1BZsYam9FLQcSV1WkthzysjOhamqPDGVrdcL03TOHX6F4yOtWAwWWi444vYPEWTcpz3ziv07XoLR23DhB/ncqKd7Qy++Avifd0AmKtKKXjkPmzz66fk+BMpHQwTO9lK/PS5TIGwqw9S6fc9z2A1YSv3Yi/3YivPG3/bUujC5LJhdlsxOqzjBcGrpWka6XCCpD9Cwh8lMRwi0j1GpHOESOcokc5R1FiSZO8gyd5BIvsyLZQVmwVrfQ3WxtnYGmdjqaue1m1NFYuZ/I/diXP1Ekb+8xckWjsZevEZQscOU/bxRzB75UaWECI7Fc1dg9HqINB9Gvu61dB2YzvSc0U8HiCeCICiZIpoM4TBZMaRX0FkuItod2dWFgwhM8cw0nqa2ImzeO68We84IsvE23uIHj4FikLBxtv0jiOE+BBqPE7g8D58u98mMTQw/ri1oQbX5jU4VzShWMw6JhRC5JJ0Oj0+xgHgBz/4wSWFuwu+/vWv8/rrr3Po0CHeeustXn31Ve64446sOOaFwiPAP/7jP76vWAiZkVF/+Zd/yb//+78zMDDA0NAQp06doqmp6br+DJNFCoZCTLH4mfZMO1K7fVILLelYjMDBPQCUNE38TLnuvS8AGiXFTXi9syb89T/02N3v0HbuFQAs/ji4pvTw72NUTCxq+gyqmsJg0Ofbatu5V+kfOAiKgbrNnxtvTTWR1FSS9rd+yljbQQDyVt9M8Z33Tfhxfl0qGGB46wsEDu0DQLHbyHvwdtyb1+TMbjc1niB++hyxE2eJnjhLsrPvfc8xeWy455bhmVeGe24ZroYSLIWuSWkrpihKZkeiy4q98v1FL03ViA8FiXSOEjo7gP9YL4HjPaRCcWLHW4gdb8EPGCwmrPMbsC9biGPpfIwenf8zThJLVRllf/KbhN7YzdhTLxHtaKPjX/6e0nsfxr1g8nbyCiHEjcifvZj8890G/PVW3C1h0ukEZvP0nQkWDPYAYPOWYjTPrLZnZYs3ESlIT9lCrutxYRRD7FQbWiqFkmWrqYW+/M9ldhe6Fy/DUig7koTIRonREfx73sZ3cDdaNAZkxlw41y7FvXk1llkVOicUQuSiHTt20NeXuU+2ceNGli27fHcUo9HIV77yFR577DEAnnzyyesuGE70MQcHB8ffnjNnzgce12g0UldXx8BAZrFFKBS6rvyTKafP0L/61a/y1a9+Ve8YQlyTyN7MTh3XvMltRxo4tAc1HsfmLcFTOXdiX7v3DIHuUygGI3W1d07oa1/J8PApWlp/BcAc12rqXcun9PgfRq9i4cDgETo6twNQc/NDeKsnfpdjMhqi9bX/JDzYDgYDpfd+HO/yiRkw/EE0VcW3ZyfD236FFosD4Fy/gvyHtuREYSo5NEp03zEih06SaO1AS6mXfNxZW0Te0ll45pfjnluGrdybNTOHFIOCrdSDrdRDwcrZQKaIGG4fxn+0B/+xbvxHe0gMh4gePkX08ClGnwBrfQ32ZQtwLFuAuWx63ehRDAbct67F1jSH4X/5CYlz3fT95Akiy9dQfNf9GCwz68a0EOLqZMv1iqaqHOp8msRgH82Lv4DNlqd3pEmhGIy4yuqw55frHWXK5dcuwVSTHecRH8RaWo7R6SIdDhFv7cQ2t07vSCJLJDp7iR44AYpC4QbZXShENtE0jei5s4zt2kH49InxsRmm0kLct63DddNyDA6bzimFELnspZdeGn/77rvv/tDn3nXXXZf9PL2PWVJSQk9PZvHimTNnWLhw4WWfl06naW1tBcBkMjF37sTes58IOV0wFCLXaKpKZP/5+YULlkzqcXy7dwJQsnD9hBYhNE2le88LAFSWr8IxhbMLQ6E+jp/8CaBRZV9AnVP/eTxJNUZ4dh56rtX3OYOAQtniTRQ1rprw109Gg5x6/p9IBEcx2OxUfPJRHHUfvFpmIsT6ehh87iliPZ0AWGqrKPjMfVjrp3Y367XKtO88RmT/MRIdvZd8zFrqIX/ZLPKXziJv6Sws+ZM/83EiKQYFV10xrrpiKu9vRtM0Iu0jDO88y8g7ZwmeGSB+toP42Q58P3sJc1UZrvXLca5bhtGdW3/WD2MuLaLsT34T3zOvEfjVdvz7dxHtaKP8E5/FWjZz2t8JIXJLMhogPNRBMuJn/8Hv0Lz4CzidJXrHmnCFBY2YVi7SO4b4AIrBgKNuDsGjB4kdPysFQzHO/9w2ANxNzViKZb6lENlATSYJHj3A2DvbSQz2jz9ua2rEc/s6bIsaZa67EGJCHD16dPztlStXfuhzy8rKqK6upqura7ytZ3HxtS9Yn+hjPvDAA3z7298G4L/9t//Gs88++762pJqm8Wd/9mfjuxEfe+wx8vOzb9SNFAyFmELx1k7SviAGq228Jc9kiJw9TXJkCIPNRkHDxO7AG209SHSkB4PZxuyaTRP62h8mkQhy+OgPSKcTFFgqWeCZ2ELo9eqLneXEnh2UljazcP4ndMlQtngzrtI6nMXVk/L60blurMdmo3UpVH7mi5N6Ea8m4oy88Qpj7+4AVUWxW8n/+BZcm1Zn7cVIsm+I8LsHiew7RrL3YgsCDAp5i6sounkOBatqs2oH4URQFAVnbRHO2iJqPrOG+FCQ4XdaGXnnLL5DXSS7+xl78kV8T72EvXkhrg0rsDXNydp/x2uhmEzkP7QF28IGRv71pySGB+n4129QfPu95K3Jju9NQgjxXhZnHvPu+a+cefk7xP1D7Dv8HRbN+xQFBdnbvlJcO2VvOyPxNlzzmrAUZWdB2FHfSPDoQaLHz5L34PW1kBLTS6K7n8i+zKLaAtldKITu0uEQvr3v4Nv9NulwplWeYrXgvGkZntvWYa7Izp8vQojcdfr06fG3a2trr/j82tpaurq6xj/3egqGE33Mr371q7z66qu0tLSwdetWamtr+cIXvkBjYyMWi4WOjg6efPJJjh8/DsDnPvc5vvnNb15z7qkgBUMhplBkzxEAnPMWYpjEmR1ju94CoKhh9YTPbxk+9S4As6s2YLFMXVvIQKCbRCKIw+ilOe9ODEp2zK4biLUB4HKWTelxNU1D09IE52R2brlKZ0/8MVSVUK0RBSi9/2G0RByjc/L+zcNnTjLwws9J+UYBcKxYRP4j92LK90zaMa9XOhQmsvsIoZ0HSLR1jT+umAzkL6uhaP0cCtfWY8mbvnOifp212E3l/c1U3t9MMhhj6I1T9L18jNCZASL7jhLZdxRjgRfXzctxbVyFqTBP78g3zL6ggfK/+n8Y+Y+niR48ydBLzxJtb6XswU9hsEpbHiFEdrG48pn7kf9C62v/QXiwg0NHn6Cx4SNUVa7VO9qESKeT+GcbyY4zRH30HXw1MzbAbM7egmFdZtFkoq0LNRzF4LTrnEjozf/8GwC4FizCWjrz2gkLkS0Sw4OMvbOdwOG9aMkUAMYCL+7b1uHeuEq+XwshrkkgELjkfavVitV6+XvUPp9v/O2ioqIrvnZh4cVud+/93Gsx0ccsKipi9+7d/PZv/zZPP/00g4ODfP3rX3/f82677Tb++I//mE2bpm4TzrWSgqEQU0RT1fH5he6m5kk9lnfZKtREnJL5N034a8/Z8jiht9+iomLiW19+mKKi+TQv+QKu7ggWQ3bciE+qMUaTmbaTxUULpvTYXd076fEdpr7081g9E9sWVtM0eg+8TCgxQHnN51EMBgxmM5jNE3qcC1LhEEO/eobg0YMAGAvzKPjs/TiaJ34W443QUimih08TeucAscMnL84kNCgUrKylZNNcCtfUYXJlx9ennsxuGxX3NVNxXzOh1kH6Xz7GwGsnSY368T+3jcCLb+JY04zn7o1YKnO77ZTR7aT4K58jtG0Xo0++QOjkUTr/dZCKTz+GpXB6zXEUQuQ+s91F412/RcfOpxg9u58zLc8Tjwepr8v9nV4jo6c59taPyatZRP1tj+odRxfO4lkEuk8R6+6E1XqnuTxzXj7mwmKSI0PETrXhWH75+S5iZkj2DY0vqi3YmPvfh4TINZqmEes8x+jbbxA+fXz8ccvsSjxb1uNYsQjFNJOX4gihvzcGGjGFJnYzyGRKhePAq1RXX9oF7S/+4i8+cLZ7KBQaf9tmu/I9Nbv94gKGYDB4XTkn45j5+fl8/etfp7i4mG9961uXfc62bdtQFIX8/Hyam5uvLfQUkYKhEFMk3tKeaUdqs+Gsn9yBpu6mZirckzMj0WAyU1098YXID5JOJzAaLQCU9lvAZJmyY1/JcLwLTVNx2ItwOK68GmWijIye4Wzby6Cp+LtPUbJg4v491HSKrnefYfj0LgAibS04Gybn61VTVQKH9zP86vOZVieKgvuOm8j76O0YbNlzMpToGSC0Yy/hdw6iBsPjj7saSii9fQElm+fl3DzCqeSqL6HhdzZT96UNDO88S9+vjuI72El45wHCOw9gXzof70duwdpQo3fU66YoCu5b12KpqWTo//yQxNAAHf/6j5R/7DO4Gqd2MYEQQlyJwWRm9oZPYc8vo/fAq9iXLIbru87OKoFANwAm28z9mewszsx6jnV36pzkwznqG/GPDBE93iIFwxnO/8IboGk4GxdgK5dZ0EJMFU1VCZ85yehbrxPras88qCjYm+fh2bIea2OtjFkQQtyQrq4uPJ6LHcM+aHfhdPL3f//3/OEf/iHpdJrPfvaz/NZv/RaLFi3CbDbT1tbGz372M/7u7/6OrVu3sn79ev5/9u47PK7ySvz4906v6r13yb3b2O6f738AAQAASURBVAYb21TTey8JECAhPZu6v7C76SHZTcJuKKH33osBY2zccO9Vsnqv0/vc+/tjbAMJGJUZzUh+P8/DYyPpvu+xJc/ce88957z44oucc8458Q77X4iEoSCMEs/2/QBYaiYjxbAdaaz4Hb3orGmk1AdHbc/2jm00Nn7ItKk3k9oSGLV9B0NWwtS6tgCQMYrVhf0Ddeze9xQoMmnlM8icsCBqawe9Luo/fBxXVz1IElnnXRqzZKG/s42ut17B19wAgDY/m/Rbr0BfWhCT/YZK9vnxbN6N6+Mt+Os+vemmSzOTtWwC2WdOxFImqseGQqXTkLWkhqwlNTgOdtLy/GZ619Xi3XEA744D6KtLSV6+GMPU6jF7caqvKCLnP+6i93+fxl/XRPvTD5OxbDmppy0ds38mQRDGJ0mSyJm6lPSK2WhNSdizIPmIH1kOo1KNvUqCcDhIZ1ekU4ElpyzO0cSPOSvy8E2wr4ewx43alJjJU3N5FfbN6/Htr4t3KEIcBbt6cW/cCUDa4jPjG4wgnCSUcBjn3h30r11FoLsz8kGNBsupM0k6+zS0ueIaVxCE6EhKSvpcwvBELBYLAwMDAPh8PiyWE49D8nq9x39vtVqHFV+09/zlL3/Jr371KwDuuecefvSjH33u8xMmTODuu+/mjDPOYOnSpbhcLq6++mpqa2uHNYMxlsZe1kIQxijvzoMAmKtj9xSt+/AB/N0d5KXPAlP05r7JoSCH3v4/1Doj06uvx2SMbgvML+JwtHDo8KsoikzfgfWkWubEfM+haHDvxBO2odNaKC5aPCp7DgzUs2vvkyjhEMlFEyk+7eqoJSE8fe0cWfkIAdcAKr2BnCtiUxkV9nrpW/Uuts3rQVGQ9DqSL1pG0lkL455IVxSFQEMrrtWb8W7ZSdh7NDmukkifX07uuZNJm1OKpFbFNc7xIKkmh0l3X4inpZ+WF7bQ9cF+/Ica6D7UgK60gNSrl2OoHps3fDUpSWT/9Db6n3oD1+rN9K58G19HKzmXXI1KN/6fqBMEYWzRfuZ8sSO5hyOrHmdS+WWkppTGMaqha+/YQiDgRGdJJbU0Nl02xgKN3oQ+KQO/oxdfWzPmysRq736MsaQCJIlQZy+hPtu4mGssDJ39jVUgy5gqazAWjt1OE4IwFsjBII4dm+lf9xEhWz8AkkGPdekpWM9aiCYlevePBEEQhiolJeV48q63t/crk3d9fX2fOzbee7a3t/P73/8egOrqan74wx9+6ToLFy7kxhtv5KGHHsJut/Poo4/y4x//eFh/hlgRCUNBGAXBjh5CXb2gVsesYgtgYMNqPPW1aGcEyJt5dtTW7avbStDjQBWWMOiTo7bulwmF/Ow78AKKIpOtL6fcPDvmew6Foij0aLoBqKhYjlYb++HfTmcbu/Y/iRIOklQwgbKlN6FSR+cl3Na0l/o1T6MEA2jTMsi77hb0mdGdK6coCs5d2+h5741I+1HANHcqqVefhyYt9j9TJyL7A7g/2Ylr1SYCTW3HP27MTyVn+WRyzpyELi0xn9Af60yFaVT/8GxKblpA68vbaH9zN4GGVrp+9yDGGRNIveJctHlZ8Q5zyCSNhvSbL0VXnB9JHO7bRXNvN/nX3YI2JS3e4QmCIHyh9h3vEXD2s2PXQ5QWL6Ok+HQkKfEfkgmHgzQ1fwxAzrRlUTs/GqvMmcX4Hb14W5oSNmGoNhox5Bfia23Gt78Oy2mJda4vxF6wswf3hkhVcPqS6F23CoLwebLfj23rRgY2rCbsdACgsppJOutUrEtPQWWO/b0MQRCEr1JdXU1DQ6QDWUNDAyUlJSf8+mNfe+zYeO/5/vvvEwxGig7OOOOMryzuOOuss3jooYcA2LRp01BDj7mT+2pKEEaJd+cBAEwl5aj0Xz1IdTiCA3146mtBkkivjF41niKH6dy9CoCiwtNQqWL/slFb9zZebx8GlYXJyYsTrpWfJEnMmHYLvb0HRqUdqaIo7G9+Eznox5pbQfmy6CULAQJlSbBaxlReRe6VN6I2mqK2NkR+NrveeAnPkUMAaHIySbvhQoyTKqO6z5Djau/G+dEnuNZtR/H6AJC0arIWV5OzfArJU/IT7mdvvNJnWCm//XQKr5xD4+Mb6Xhnd6RV6a6DWBbPJeXiM1AnD6/NRDxZl8xDm58dmWvY1UHzP/5GwQ3fQJ+TF+/QBEEQ/kXp6dfTsvEV+mq30tC4kgFbPZMmXIlen9hVBx2dWwkEHGjNKVE9Bx6rzFlF9B/Zhr+tJd6hnJCprOpowvCISBiehOyvrzo+u9BYIKoLBSHawl4vtk3rGPjkY2SPGwB1WjJJ5y7CsmgOKr0uzhEKgiB8asqUKaxYsQKALVu2sGTJki/92q6uLlpaIue5WVlZw27nGc0929vbj/8+OfmriyI+W6HocrmGEvaoEAlDQRgFnqMJw1i2I7XviMzTs+ZWoLdGr4Klv34nAWc/Wq2ZvNzYX8x39+ylo3MrIDE1ZRlaVWwSrCMRqClAAjIzY/f9/CxJkihbdjNtW96maMGlqDTaqK3tLJYwUkzhLXehz8lHUkdvbpEiy9g+WUvvqndQAkHQaEi5eBlJ55wWt/ajSjiMZ/t+nKs24j9Qf/zjhrwU8s6fSs7Zk9Emi6cs40WXaqbqe2eQf8kMGh5aS9/GI7g+2oT3k+1YzllM0jmLxtzFraGqhNy776L7vx8l2NZF86P3kn/V1zGVxTdhLgiC8M/UWj0li67BmltJ84aXsdnq2bTjXiZWXk5Geuw6ZIxUV/duAHKmLj3pqwsBUkumwpQi9Dn58Q7lhExllfR/vBLf/joURREPaZ1Egh09uD/ZCYjqQkGItpDbhW3jxwxsWYvi9QOgyU4nafnpWBbOiPsYEEEQhC9yzjnncM899wDw7rvvnrBF5zvvvHP898uXL0+IPT870/BYYvFEmpqajv8+PT32Y7+GSrxTCEKMhd0e/LWRFwJLjBKGiizj2LEZgIyqudFbV5Hp3PUhAIUFC1GrY3uj3u+3c/DQqwCUmqeTpkusGx0hOUiTZzd54ayY/10Ax2+e2Mv16NBTevq1UVlXDgVpWvcilrNOx0Dk79iQXxSVtY/xd3XQ9frz+FqbAdBXl5L+tcvQ5mREdZ/BCjvduNZswblqI+F+e+SDKon0eWXkXTid1FnFSCpxoypRmIvTmfyri7HtbqX+gTU4D3Vif3Ul7nXbSfvapRgnVsQ7xCHRpKeQ/fPb6fnbk/gPNdD61IPkXnIt1ikz4h2aIAjCv0ivnI05q5j6VU/g7W9n957HmT7tFtJSy+Md2hcqu+SbDNTvILV0erxDSQhaUxJZ4SScmsQ+rzEUliBpNYTtToLt3ejyo9sOX0hcttc/jFQXVk/CkF8Y73AEYVwIOR0MrP8I29YNkYd1AW1+NskXLME0Z0pUHwwWBEGItsWLF5OTk0NnZyerV69m+/btzJw581++LhwO87e//e34/1999dUJseeUKVOO//6tt97C4XCQlPTlXVqefvrp47+fOzd69/GjJfGHUgjCGOfbfRhkGV1WDtrU2Myu8tTXErLbUOuMpBRP+eoDBsnWtA+frQu1zkBB/ilRW/fLqUiyFpCkyaTSkngvmPXubdS6NrFr92Mx30uWQ+za/Rj1yt6orhsOeKl970H6j2yj/dlHUEKhqK4vh0L0rlpB0/3/ja+1GcmoJ+3mS8j+yW1xSRYGmtvpe+Ql2n/4O2wvrSDcb0ebbKTo2nnMe/JWJv/qYtLmlIhkYYJKmVrAjHuvZcIvzkOfaSHU00/3Hx+i9+EXCbs88Q5vSNRmE9k//Dqm2VMgFKbjxScZ2LAm3mEJgiB8IUNyJjUXfpesiaeRlF+NalZNvEP6Uiq1hvTKOVHtwCDEnkqrxVhUBoBvf12coxFGS7C9G8+mXYCoLhSEaAjabXS//Qr1//NrBjasQQkE0ZXkk/ntG8j91XcxnzJdJAsFQUh4arWaX/7yl8f//8Ybb6S7u/tfvu6nP/0pO3fuBGDhwoWcffYXn0s89thjSJKEJEmcfvrpMd9z4cKFFBVFCjEGBga45pprcLvd//J1iqLwi1/8gtWrVwNgNBq58sorvzC+eBIVhoIQY55dkXaksaouBHBsjwxITSufGdWbJfaW/QAU5JyCRhP71qB6vZVpU29COlCPSkqsk1pXqJ8GT+TitrDwtJjupSgy+w68QP9ALbYNLSQXVKMxWEa8btDrpHbFg3j721HpDeRcck1UW5L4O9vpeOkpAt2dABhnTCDtxovRpH51/+5oUmQZ744DON5fh//Qp0OJLRVZ5F8yg6wlNah04u1vrJBUEllLakibW0rDI+tof2Mn7rXb8O46RNp1F2CaO3XMtDGTdFoyvnkNA89Yca7cQM+K1wk5bGScdQGSSjzDJQhCYlGpNRTOvxhFDiNJKuzlekJ+L7aPV1JctGhUzg1PxOPpJTAph7HxDjC63D3NdO3ajDYljbRFy+IdzpcylVXhOXIY3746ks5cGO9whFFwvLpwwmQMeQXxDkcQxqzgQD/9az/EvnMzhMIA6CuKSL5wGYYpVWPm+kgQBOGY2267jVdffZUPPviAffv2MW3aNG677TYmTpxIf38/zz77LOvWrQMiMwAfeOCBhNlTq9Vy7733cskllyDLMu+88w5VVVXccMMNTJkyBa1WS319Pc8///zx5CPAb3/7W/Ly8kb854g2ccdUEGJICYXx7T4EgLl6Ymz2UBQkrQ5Jo4lqO1KA4lOvJK1sOtmO2FaGhUJ+NBo9APpD7ZBgcwsVRWG/Yy2KEiYjvYbMjAkx3etw7Zv09OxFUqkpP+OmqCQL/Y5eat/7B35HL2qzhfwbv4EhNzoX6Uo4zMDGj+ld9Q6EwqisZtJuuCjS+mQUL1RkfwD3+u043ltHqKs38kGVROZpleRfMpOkSXniwmkM05j1VH57GVlLajj83+/jae6n975nMW7YEUlMp6fEO8RBkVQqUq+7AHVaMrYX3mVgwxpCTgc5l14rnv4VBCEhSapPX5vat6+gp3kdHZ3bqCxfTlZWfB7akOUQO3c/inxAouKMr2NMyx31GBJZwDWAfetG9Ln5iZ0wLK+CD8B38AhKKIykEe+D41mgrQvP5sjM0QxRXSgIwxLo76P/4w9w7NoKYRmIjP9IvmgZhgnl4npXEIQxS6PR8PLLL3Pttdfy1ltv0dnZya9+9at/+bqCggKef/55Jk0aeWFONPe88MILee6557j99tsZGBigvb2dP/zhD1/4tXq9nt///vd873vfG/GfIRZEwlAQYsjf0ILs8aE2mTEUFMdkD0mSyLnkakonXYhGb4z62oW+EojhuD5FUdi1+1FMpkwmyTNAFfvZgEPV5j1If6ANlUpDZcX5Md2rofFD2to3ARIli68lKa9qxGs62g5zZM0TyF4vmpQ0Cm66HV165siDBXztrXS9/gL+jlYAjNMnkP71y1AnjTzJOVih3gGcH27EtWYzsscHgMaiJ/f8aeRfNB19pvUrVhDGkuTJ+cy6/waan91M87Ob8O46SOf/+29SrrsY84IZY+IiWZIkkpcvRp1spe+Rl3Du2YEcDJB75U2oolj1KwiCEG3JhRNwtB7E7+hl34Hnae/cRnXlhZhMo9t2vLbuHXy+ATRY0Celj+reY4E5M9ISyd/VgRwIoNIl3vk1gD4nD7XZQtjtwn+kGUN1abxDEmLI/upKUBQsE6egz0msWfWCkOiCA330rVmJY9eW44lCw6RKki9cKl47BUEYN6xWK2+++Savv/46TzzxBFu2bKG7uxur1Up5eTmXXnopt99+O8nJ0etkFs09r7jiCpYtW8aTTz7JihUr2L17N/39/YTDYVJSUpgwYQJLlizhlltuobAwcec4i7tSghBDvv1HADCWVca83Vw0k4VBrxOVWotaF/tKv67u3dgdzThdHVSnT0ITy+zkMARkHwc9nwBQWnIGRmNs5lACdHXtorFpFQBFCy4lrWz6iNdUFIX2hnXIXi+GgiLyrvk6GuuXD94dLDngp2/VewxsXAOKgspsJPWq5ZhPmz1qCRt/XROOFevwbN8LsgKAIS+F/EtmkHvOZNTGxPpZEqJHpdNQctMCMhdXcejP7+M80EHfP17Au+cw6TdejMqUWFXKX8aycCZqq5mee5/EfXAf7c88TN41X0OlFT+7giAkpuSCGqyX/htduz+iY9dKBgbq2LTtbxQXLKKwYCFabXQfXvsiHR3baGv/BJAoOe0qVBrxmvnPtOYUNEYrIa8Tf0cbxuLEvJksqVSYSitw7t2Jb3+duOk9jvkb2/Bs3QOSRPqSc+IdjiCMGcGBfvo+/gDHzs8kCqdUkXLRGegriuIcnSAIQmxcdNFFXHTRRcM+/uabb+bmm28e1T2PSUtL47vf/S7f/e53R7xWvIiEoSDEkO9AJGFoKq2Iyfphj5uwx40uIyuq67ZteRtb0x6qyy8kOXt6VNf+rHA4wJH6FQCUm2ZgUI9eVdpgHXFtJRTyYjbnUFgQu9kqbnc3+w+/DED2lNPJnLAgKuu6SlTk5l7PwIbVpJ66FJV25DMu3UcO0/X6C4Rs/QCY5k0j7drzUSfHvpJPkWW82/fjWLEWf13T8Y+nzCii4LKZpM0tQ1IlfoWZEB3mkgxm/OVqmp/dTOMTG/B8shN/XRMZt1+NoTI2Vd3RZpxaTeb3b6bnL4/jqTtE21MPkX/tLaj0+niHJgiC8IVUag25M84krXwGzRtewdF2iMamVfhSJCamxq79paIodHXv5mDd6wDkzjyL5KLYtPwf6yRJwpxZhL15H7625oRNGEKkLemxhCGXnBnvcIQYsb+2EgDr1Jnos0ULYUH4KkHbAP0fr8S+YzOEIzMKDZMrSbn4DPQVY+M6RxAEQRibRMJQEGJEDgSPJzRMZZUx2cOxcys9K14nvWou1tOuisqaQa+T/iPbUeQwRkPsqukAmlvW4ffbMagslJinx3Sv4cqbcjbeeoW83DmoVLGbq2IyZZA9eTHegQ7yZ583orXkcIiB+p1ol81GAlR6PelRmBMiBwL0fvAWtk2Rgb/q9BTSb7wY47SaEa/9lXv7A7jXbYvMJ+zuA0DSqsleNoGCy2ZhLh3dVmhC4pDUKoqvP4WUmUUc/O3b+DoH6Prd/SRftIzk85eMibmAxokVZP3oFrr/+1G8DXW0Pvkg+dffitoQ+0odQRCE4dInZVBx9m3YGnfTuWsVmRMWYDdHHnZQ7WxAVsIkJ0Wn1U4w6GXX7kdxOCMt0JOLJpE7/YyorD1eHU8YtjZ99RfHkaks0n7ff6QF2etDZRwbXQKEwfM3tuLdeSBSXbhYJIUF4USCtgH6136IffumTxOFEytIvuQMDJUl8Q1OEARBOCmIhKEgxIi/rglCYTRJyWjTYpPMcO7ZAYApPXozIHoPfoIih0myFpKcHLsWF36/nabmNQBUW+ejlhLz5choTGXypGtivo+jwkg+y1FkeUTta8MBH0c+fAxney0ZOjtpi6JzM83X1kzHy88Q7O0GwLL0FFKvPBeVIbZVUGGHC+fKDThXfYLs8gCgsRrIu2Aa+RfPQJdmjun+wtiRPDGPWfffSO29H9L94QHsr67Et6+OjG9chSYjNd7hfSVDVQnZP76V7j89jK+5gdbH76fgxttRG03xDk0QBOFLSZJEauk0Ukunfe7jh7pW4mg9SHJyMfl580hLrUCnG34nCXd1Mkq9AZVPT86UJWRPOR1Jim27/7Hu2BxDX1tznCM5MW1qGtq0dIL9ffgONWCaPiHeIQlRZn/tQwCsU2dFvTOOIIwXX5gonFBO8sXLMFSXxTk6QRAE4WSSmHfoBWEcOD6/sLQyJjPdAv19kRsAR2/URIMih+k5tBGAgoL5UVnzyxyp/wBZDpKizSHHEJuWrSMRVoKEJ8S2fZOiyLS1b8K8YCHHbnmNJFkYcNupe/8fePs7kHQ6dDl5I48xHKZvzQf0f7wSZBl1ipX0W67AOKVqxGufSKh3AMe7H+NetwXZHwLAkJtMweWzyDlrMmrjyFurjheKoiD7ggSdPkIuPwAqnRqVVvO5XyWtetTmS8aLxqJnws+WkzanhNq/fYj/cCNd//EX0m67ZlQqYUdKX1ZI9k9uo+ueh/G3tdD66H3k33Q7GnPitWsWBEH4MoocRmu0IqnU2O1N2O2RCjezKYvU1DLS0qrJSK8+4RqBgIum5jWkLT4bjcGMBBSfegUqrR6tMfYt0McDU0YhSBIgIQcCqHSJO+vRVFaJvb8P3746kTAcZ/yNbZ+pLhRVwYLwz0SiUBAEQUg0ImEoCDFyfH5hWWySYa69OwGw5lZE7caJvXk/QbcdrdZEVubkqKz5RYJBL339hwCosS5MuCSGrMhs7HsZ8/4CKivOQ6eLzY2pxqaPaGj8EItjH1Xn3TmiJ+W9A53UvvcPgm4baouV/OtvxZA3sjZggZ4uOl5+Bn97CwCmuVNJu/Fi1JbYVTwFWjtxvLMG9yc7QVYAsFZlU3j1XDIWViCpT65qgrA/iK/Tga/Djq/Dhvfor4F+DyGXn5ArkiRUwvJXLyZFqjN1aWZ0qWZ0qSZ0aWa0qSb0aRZMJemYi9NR6cb+qUH2GRNJmpjHgd++g/NgB91/eYyUS88m6fzTE+715p/pivPJ/uk36PrjQ/g722h99O8UfO2bImkoCMKYIanUlCy6mrxZ59JzYAP2ln14+ztwe7pxe7pxquxo504l+Ygfv9/O3v3PEw4HCIf9R3+N/AcK/p1qCk+5CIi0QBUGT6M3Mu26/8JblfjdGExlVdi3fhKZYyiMK/bXP51dKKoLBeFTwYF++teuxL5ji0gUCoIgCAll7N8VFIQEJHt9BBoiM1ZMpbFJGDr3RtqRppXNiNqa3Qc2AByd1xe7lwet1sgpc3+Afe9GUnTZMdtnuFq9B3CF+vH1e6mSYjP/rLt7Dw2NkfY86ZWzR5QsdPe0cPiDB5C9XrQZWRTccBva1PRhr6coCvZtn9Dz7qsowRAqk4G0Gy/GfMr0Ya/5Vfx1TdjfWh15AvmolJlFFF0zj5TphQmf5BkJRVHw9zjxtPTjae7H09SPp6Ufb+sAgT7XoNdRaSQMVi2SBOGgTMgvEwp8JpGoQMjhI+Tw4Wns+8I1JLUKU3E6loqsyH/lmVjKs9BYYtt6NhaMeSlM/5+rqPu/VXS8tRvby+8RaGwl/dYrURkT+8+jK8gh52e30/WHfxDo7qTt8Qco+Nqdoj2pIAhjis6cTP7sc8mffS4hnwtnRz3OjrrjrTLt5XoCbj32jY1feLwpo5CU4tg9wHYy0OjHxvuGqbQCJIlgWxchmwNNSlK8QxKiwN/YhneHmF0oCJ8V6O+l/+MPcezaAkcf+tTXlJFy8RkYakSiUBAEQYg/kTAUhBjwHWoEWUabmo42JS3q6/t7uvB3toNKRUrJlKisGXDbcXbUAhJ5uXOjsuaJaLVG8oyxbWs5HEHZT51rMwClJcvQaqN/o8XpbGPfoZcAyJq0iIzqecNeK+T3HE8WGgqKyb/+VtSm4T9JLgf8dL35Ms5dWwEwTKok/ZbL0aQlD3vNE/HXt2B75QN8ew9HPiBBxmlVFF01B2t1Tkz2jDd/rxPbrlbse9pwHe7E09JP2Bv80q/XmzWkFZpILTCRVhD5NSnbgDFJizFJi8GqwZikRWv815ajiqIcTx4GfWHcAwFcfQFcvb6jv/px9fmxdXjpOuzE6wjiru/BXd9D1/v7AJBUYJ2QR/r8ctLnl2MqShszCVyVVk3V987EWplN7b0f4tm2j2DH/5H5nRvR5iR2pYo2N5Psn9xG5+8ewN/ZRtsTD5J/0x2oDYZ4hyYIgjBkGoOF1NKppJZO/aePmylbeiMqjQ61Vo/q6H9qrR6NwTJm3m8SnaIoCf13qTZb0Ofk4+9oxbf/CJYF0XsgUogfUV0oCJ8K9PXQv2Yljt3bQI4kCg2TKkm+cCmG6tiOQhEEACUUIuzyILs8yF4fii+A7POj+AOR3/v9KL4ASiiEEgqjhMNw9FclFEZfURzvP4IgCKNEJAwFIQb8B+sBMMaoutC1bxcAyfnVUXtyWGdOZvLlPyO0+yBGY2pU1vxnshzGbm8kJaUM/aG2mOwxUrWuTQRkLyZjBvl5w0/kfRmfz87uPU+ihIMkFdRQMPeCEa3nrTKTefaFOHZsIf/6W1Hph59M8HW00fHikwR7uyPJ6MvOIuncRSOaq/hl/Eeasb3+Ib7dkda0klpF9pkTKbx6DqaC6CfZ4ylo92Lb1YJtRzMDO5rxtg78y9eo1BJpRSYySy1kllnILLWQUWomrdCMKUU77Jt8kiSh0anR6NQYrFqsmV/+86EoCrYOL50HHbQfcNBxMPKfvcOLY187jn3tNDy0FmN+CukLyklfUEHyxLwx0SY297ypmEoz2P+fbxBo76b71/eSduf1GCdVxju0E9LmZpL941vp+v2D+NqaaX/6IfJv+EZCz6ESBEEYCpVaE7VZ3MK/CrhttD72HEG7jZLv/DShk4am8sqjCcM6kTAcB0R1oSBEBPp66P94JY5dn0kUTq0m5cKlIgEjjJgSChG2OQnbHIQGHIRtDsLHfnW4kF0ewk43stuD4guMaC9rcihKUQuCkOhEwlAQYsBf3wyAsTg2LSVSFyxGn5OH1W6M6rr6pHSycmdHdc3P6undx779z5GhK2R22sgSZbHQ42+i2bMXgKrKC1CpotuONBTysXvP4/gDDgzJWZSefv2wk3GKHMZVGnkJT545j6Tpc4a/lqJg27SWnvffhFAYdUoSGXdcHZOWKP66Zmyvr8S352hFoUoi+8yJFF93Csa8lKjvFw+KrOA83EX/5nr6NzfgOtSJonz6eUkFeROSKZ6VRtG0VLIqLKQVmdFo45t4kySJ1DwTqXkmJiz9tLrT1uHl0JpuDq3pon5TH942G60vbqP1xW1oU0xkLakm+8xJWCqzEvpGZPLEPGb+/Xr2/ccbOA900P3nR0i79kKsZ8yPd2gnpCvIIetHt9D1hwfxNtXT/vxj5F/zdSSNOIUTBEEQTkyjN+NpPAKyTMhhQ5scm4cCo8FUWsnAuo+Oz4EXxjb765HRC9YpM0R1oXBSCvR207dmJc7d2zh2MWicVkPyRcvQlxXGOTphrFBkmbDNSainj1B3P6HegaO/9hPq6Sdscw5tQZWExqJHazWgNmhRGXVoTDpUBi1qozbyMZ0aSaNGpVEjadWo1CokrRpDbvLxLkSCIIxv4m6TIESZEgoTaIxUzxkLimKyh0qnx1IzGUuT8tVfPAjH2hQlH/FHZb0v26Op+WMAUnSJ12oyIHvZa/8IgIL8+aSlRb/yyOsbwBtyoDFaqTj7NjT64SV8Bxp20brvAwpuvhON2QIw7GRh2O2i87XncR+KnPgZp08g/ZbLUVuH39b0iwSa2hl4+b3jFYWoJHLOnEjROEkUBp0+BrY20r+5gf4tDQRt3s99PrvSStncdMrmpVMyOx1jkjZOkQ5dSq6ReVcXM+/qYvyeEHXreziwqotDa7rx2jy0vbqDtld3YCpKI/vMiWQtm4AhKzFnD+nTLUz/85Uc/p8P6PpgP/1PvU6ot5+UK8+NSSVttOhL8sn6/tfo/tPDeGoP0vnKM+RcPvwHDgRBEISTg0qjxZiSg7e/HV9bS0InDI1FpaBWEe6zEezpR5s5vjpOnEwCTW14d+wX1YXCSSnQ00Xfmg9w7tnxaaJwanUkUVgem/tDwtinhMKEuvsItndH/uvoJtjeQ7CjGyXw5eNLACStGn26GV26BX26BV2GBV26GV2qGW2SEW2SAc2xXy0GJNXwHvINuWN3v1AQhMQiEoaCEGXBtk6UQBCVwYA2PTNm+1ijlCwEaPz4WcIBH1WZS7Ba86K27mcNDBzB5WpHpdJSZIrO3MVo8oVdoNViVmdRXnZOTPaQp5VQU/Id5KAfvXV4N0F6D2+mad0LoCjYPllLxrJzhx2Pt7mRjhceJ+Swg0ZN6lXLsZ6xIKpVYsGefuyvvI97487IB1QSOWdNoujaeWM6UajICq66bvq3NESqCA92IIc//TepN2uoWJBB1WlZVJ6aSVLW+Jg7pzdpmHRmLpPOzCUclKnb2MvON9s4sKoTT3M/DQ+vo/GRdSRPKyTnnMlkLq5GpY1upe5IqXQaqn98DqbCNBoeWYdjxVpCAw4ybr0CSZu4p0WGqhIy77qe7r8+gXPvTlR6A1kXXpHQVZ2CIAhC/JkzCvH2t+Nvb8U6cepXHxAnKr0eQ14RvpZG/AeOiIThGGb7bHVhZnacoxGE0eHv7qR/zQc49+78NFE4fUIkUVhaEN/ghIQie3wEWtoJNLUTaO4g0NROsL0bwuEv/HpJrUKfnYQhJwljbgqGnCQMuSkYcpIx5CShTTaKa0JBEKIqce+MCcIY5a+NtCM15BfHpPqj5/03kVRqdDnzhp10+qxwwMtAwy6UcAglY3EUIvxiTS2R6sJCQw06VeIlTwxTZjA3WEMw6Eatjm71VyDgwjshPbJP8vCTyN3719Gy8VUAkmbNI33J2cNey77tE7reehnCYTS5mWTeeQ26ougli8MOF/Y3VuFa/QlKKDKrIXNJNaU3L8SYn7hPt59I0O5lYHtTpIpwayPBAc/nPp9VbqHqtCyqFmVSNCMt7i1GY02tVVG9KIvqRVn4nEH2fdDJjjdaadzaj21nC7adLTQ8vJb8S2eRu3wKGrM+3iEfJ0kSRdfOQ59p5dCf3sOzaRdddidZ374BlTm6rZ6jyTi1mozbr6L3vmexb/sElV5PxtkXigtEQRAE4UuZMgrg8CZ87S3xDuUrmUor8LU04jtQj2XRnHiHIwxDoKkd7/ZIdWGaqC4UTgLelib6136I++De4x8zzpgYSRSW5McxMiERyIEggaY2/HXNBI40E2hqJ9TT/4VfqzZqMRWmYSpKx1SUhqk48ntDbjIqTWI9hCsIwvgmEoaCEGX+I00AGItKor62Egph27wBJeAn68JJUUkYDjTsRgmHMJuysFpjc0LrdLYxMFCHhIpi07SY7BENWq0RrTa6yYLOzh0cPPIGZdYbSS6oGfY6vYc+OZ4sTF2weNhJAiUUovvd17Bv2QCAafZk0m+9ApUhOskc2efHsWItrvfWEPZGWmekziqm9NbTsFaOrSeM5UAI+942BrY3Y9vehKu263OzCHUmNeWnZFB5aiaVCzNJzTfFL9g4M1i1zLq0kFmXFjLQ5mHnm21seq4JV4+L+gfW0P7MejKXzyD/0pno0y3xDve47DMnokszs+8/38B/sJ7O391P1ve/hiY9Jd6hfSnz3KkoPj99j7zMwIY1yKEQWcsvEe1JBUEQhC9kyojMyvK1tx4fQ5CojKUV8PFKfAePJHyswhezvXG0unDydPSiulAYpxRFwXPkMP1rP8TbUBf5oCRhmjmR5AuXoSuOTdcmIfGFegfw1zbhP9KM/0gzweZ2lLD8L1+nz7JiKc/CUvHpf/osq3jfEwQhIYiEoSBEmb/uaIVhYUnU1/Y01aME/GiM1sjTwlHQV7cVgJycGTE7OWlqWRvZw1COSZNYs832Oz7GVFhFrpIf9T9//8ARDhx+BUUO4+yoG3bCsP/IdprWvwRA6sIlZJx1/rBiDbmcdDz3GN7mBpAkUi49i6TzT4/Kn1uRZdwbd2B7YQVhe2TwtrUqm9JbTyN1ZvGI1x8NiqzgOtLNwPYmbNubce5tIeT//Ml9dqWVylMzqTrt5KgiHI7UfBNL7qjktK+XsfPNNtY9Vk9vg5uW57fQ/so2MpdNpPDqOZgKEqPVWOqsYqb/91Xs+cUrBFq76Pz138n6wdfRFSberNVjLIvmoMgK/Y+/in3zepRggOyLrhJJQ0EQBOFfGNNykVRqZI+bkG0AbWpivP9+EWNhCajVhAcchLr60OZkxDskYQgCLR14t+2LVBeefla8wxGEqFNkGdeBPfSv/RB/e2vkg2oV5vkzSF6+GG1eVnwDFEZdqKcf36EGfAfr8R2sJ9w78C9fo001kTQxj6SaHKzVOVjKs9AmJ25XG0EQBJEwFIQoCtudkfYCkoShIPoDrd2H9wOQXDgBSRr5jWG/sw9XZz0gkZ01fcTrfRFZDuF2dQJQap4Rkz2Gq9vXSLNnLxzaR1JSIRZz9J6Cdbu72XPgaRQ5TGrpNPJnLx/WOnI4ROvuFaAoJM9ZMOxkoa+tmfZnHyXksCMZ9WTcfg2m6cOvePwsf30L/U+9QaA+0urKkJdC2S2nkrGoKuGfkPN1ORjY3sTAtiZsO5oJ2r2f+7w1S0/5KRnH/xsvswhHg0anZvZlRcy8pJBDa7pZ+8gRmncM0LliL90r95F7wXSKb5iPNin+F0uWiixm/O1a9vzsZTzN/XT/7u9kfPsmDBPK4x3al7KePhdJp6XvoRdx7NiCHAySe9l1SGrRrkYQBEH4lEqtwZJTTtgIcsAf73BOSKXTYSwoxtsUufEqEoZji/3tNQBYJk4V1YXCuCIHAjh2bmFg48cE+3oAkHRaLIvnkHTOooTuTiJEV9juxLu3Ft+BI1+YIJTUKiyVWZEE4YRckibkos9OSvj7IoIgCJ8lEoaCEEXHqgt1mdmoDdG/Ce4+fACIJAyjoa9uGwCpqeUYDMlRWfOfqVQa5s75Dp4920nSJs5Ff1D2s88RuagtLFgY1WRhOBxg775nCAd8mLNLKFl0zbATvO4yLQU3fxP7lg2kLzt3WCeajp1b6HzjRQiF0ORmkvWdG9HmDn+W4jFhm5OBl1fgXhv5OVIbtRRdfwoFl8xEpUvMtxc5EGJgezP9m+sZ2NaMt+3zJ/g6k5rSOelUzM+gfH4GmWUWcXI/QiqVxIQl2UxYkk3zzgHWPFjHoY+7aXt1B/0f7iXvuoXkXTgdlTa+iS5DdhLT/3oN+375GvY9bXT/9yNk3HktppmT4hrXiVgWzECl09Jz37O49u6kPRgk98obUWmjO4dVEARBGNuqzr0dZ/HYOJ8xllYcTRgewXr63HiHIwxSsLsPz6ZdAKQtWhbnaAQhOkJOB7bN67Ft2YDscQOgMhmwLJtP0pkLUSclzqgFITaUUBj/kSa8ew7j23OYQFP75z4vqVVYq7NJnlZIyrRCkifloTbq4hStIAhCdCTmHV1BGKP8dUfnF8agHWmgryfyNJtaTVJe1YjXUxSF/qMJw9zs2Fb+SZKKVF1itfc77NyIX3ZjNKZTVnpG1NZVFIVDh1/H7elGY7RSvvQmVJqh37wPB7x4KiMz8bQpqWSced6wYun76D36V78PgHH6BDK+cRUq08iq5JRwGOfKjThef5+wJwBEZsGV3npaQs2nO0YOhOjf2kjP6kP0bTxyfLYigEotkT85mYr5mZQvyKBwSgpq0WY0Zoqmp3LD3+dQt7GXd/+4n65aJ0fuW037m7uo+NZS0uaUxDU+rdXA1D9czoHfvkPvulp6/vcpMm67CvP86XGN60RMsyeT9d0b6bn3SdyH9tH+7CPkX3erqDQUBEEQxiRTaQX9q9/Hf6BezDEcQxwr1oKiYKqoxpAbndEZghAvgd5u+td/hGPXVgiFAdBkpmE9ayGW02ajMujjHKEQS7LPj3fnQTzb9uLdexjF+/nqfEtlFqkzi0mZUSQShIIgjEsiYSgIURRojjxtpM8vjPraniOHAbBmlaLWRaEtoiKTOWEB9ub9ZGbGpoImEHCh0RgxHO6IyfrDNRDooMUbae9aU3UJanX0TvB6evbS2bUDJBVlS25Aaxr6zEZXVyO1Hz5E9oVXYp00bVhxKOEwXW+8iGPHZgCSzl9CyqVnjnjGWaClg76HXiLQ1AZE5hRW3LWUpImJNdhdDoWx7Wihe/VBetfVEXZ/epKflG2g5vQsKhdmUjonHYNVVGONtor5GXzrpdPY9moLK/92CHfrAHt+9jIZp1ZQfucSDNnxm3Wq0mmY+P/O59Cf36fr/X30PvgcSjiM5dRZcYvpqxinVpP1g6/R/T+P4ak7RNfrL5B9ydXiJqsgCILwOWGPG5XRlNDvD4aCYtCoI6MeunrR5oy8K4YQW2GnG/e6yIOoaacujXM0gjA8iqLgqa/FtvFj3LUHQFEA0FcUYT37NEyzJol54ePYsSShe8tu/HsOIQdCxz+nTTaSOruEtNklpM4uRpdqjmOkgiAIsScShoIQRYGWyKw+fXb0kydKMIjKZMaaWxGV9SSVmuzJi6kynhKV9b5I7ZF36Os7xCTzqeQaK2O2z1DISph9jtUA5ObMJjW1LKrra+dOJ5MWdKZkrLlDn3/m7m2h9oN/IPt92Ld9gmXi1CHf1JH9ftqffxxP3UGQJNJuuhjr6fOGHMtnKaEw9rdX43jzQ5SQjMZqoOy208g5ZwqSKjFuOsmhMLbtzfR8fJje9XWEnL7jn7Nm6Zlydh5TzsmlYGpKQt8oO1mo1BJzLi9iytm5rLqvlk+ebqR3XR3OnY2UfPMMss+cGLfvk6RWUf2js1Hp1HS8tZu+h19ECYUTujWaYUI5md+6ju6/PI5j5xbUFgsZZw5v5qkgCIIwviiKTNOf/oDf0Uvp9/8dbWpavEP6UiqtFmP+0TmGhxpFwnAMcH70CUogiD63AGNpdK5VBWG0yIEAjl1bsX2ylkBP1/GPG2dMIGn5YgyVJfELTogp2R/Au+MAni278f1TktCYn0LGaVVkLKzAWp2TMPc8BEEQRoNIGApClIQdLmSHCyQJfVb022+mLjydlPmLsDSEvvqLE0A4HKS39wDhsB+D2hrvcI7rC7ThCtnQas1UlJ8T9fVVag1F8y9BOfpE4lD4HL3UrnwI2e/DWFxG3tU3D/lmf8jpoO2ph/B3tCLptGR881pM00c28/KfqwrTF5RT9b0z0aXF/8k6ORhmYHsTPR8fpm/Dkc8lCc1pOiaflcuUc/MompGKSpzkJySDVcvyH09k1qWFvHb3blp22Tj0xxX0rqul6vtnoUs1xSUuSSVR+d0zUGnUtL22g/7HXoFQGOsZ8+MSz2AYp9WQdtPF9D/2KgPrPkIJBsk892LxNLQgCMJJTpJUqLWRDiW+9paEThgCGIvL8DbV4z/cgHXxnHiHI5yAEgzhXLkRgNSFi8WDSsKYEbT1Y9u8Hvu2T5C9XgAkgw7LwllYz1wgHlYYpxRZxnfgCO4NO/Bt3/O5cSXG/BQyF1eTuagKc3mmeD0TBOGkJRKGQlQE2rrQZqYh6U7e1n6B1kh1oTY1DZU+Nj3tk1okGMY8vH8WcA3gaK8luXAiEJvvWX9/bSRZqLKQos2OyR7DkTxtAbMchQSDHrTa6CQiFEWhs2sHxvlzOXZKOdSTy6DXRd17/yDsdqHPLSD/+ltR6Yb2cxTo7ab1iQcJ2fpRWc1kff9m9GXDb4/7RVWFFXctJWtpTVxPnj+XJFxfR8j1abtRS7qeSWfmMOmsXEpmpaFSi5P8sSK7wsptTyxg7aNHWPW/kQTw7oMPU/Ldc8hYGJ8KZUmSKP/WEiStitYXt9H/1Oso4RBJZ58Wl3gGw3r6PJAV+p94DdumdciBANkXXSmShoIgCCc5U3o+nr5W/B1tw255P1qMxZEOIP7DjfENRPhK7k92IjtcaJKSsU6aHu9wBOGElHAY9+ED2Ld98rm2o5rMNKxnLIjMJzRFYfyLkHACrZ24N+zAvXEH4QHH8Y8bcpPJWlIjkoSCIAifIRKGwog53v2YgeffQZ2WTMolZ2JeOPOkvDEZPNqOVJedG/W15YAfSRu9OXsDDbto3fwmqakVZEz7etTW/azunt0A5BjKE+6kKzkpujMmW1rWUVf/LknOPVScfduQ/7zhoJ+6Dx7G7+hFk5IWSRbqh3ah4m1uoO3Zh5HdHjTZ6WT98Otos9KHtMZnBdq66HvwhYSpKjxhkjAjkiScfFYuxTNFknAsU6klFt9aQdWpWbz0s5101TrZd/cbZJ81iYpvLkFjic3DGCciSRJl31iMSquh+ZlNDDz7NoqskHzuolGPZbCsS09B0mvpe+glHDs2owQD5Fx2HZJaHe/QBEEQhDgxZRTA4U342lvjHcpXMhSWgCQR6ukn1G9Hk5Yc75CEL6AoCo731gKQMu80cZ4hJKxAfx+O7Zuw79hM2PmZZNGEcqxnLcQ4reakvIc13sluL66NO3Cv3Uqgqf34xzVWA5mLq8k+cwJJE/MS7n6VIAhCvImEoTAioT4b9tfeByDcb6fv4ZdwrFhLyuVnY5w+4aR64z1WYajPin7CsPPV5/A2N1A891JSS6aMeD1b8z4AMtJrRrzWF4m0Iz0IQI4hMeZYtHsPY6yaTLTTXTZbA3UN7wGQUjx5WD/zvYc+wdPTjMpkpuDGb6CxJg3peHfdIdqfewQlEERXVkjW925CnWQZchwQufB3rdmC7dk3kP2huFYVKmGZgZ3N9Kw6GJlJ+E9JwslnRSoJi2eIJOF4k1uTxJ3PL+TD/z3Mukfr6Xp/H7YdzUz4+XKSpxSMejySJFHytYVIGhVNT2zE9vw7qHRarMsStz2pZeEsJJ2O3vufw7l3J3IwSO6VN6LSnrydAARBEE5mpozI+6e/oxVFURL6Ok1tMKDPzcff3or/cAOaU6bHOyThC/j21RJs7ULS60ienbjnRMLJSQ4GcB3ch2PbJ3jqa49/XGU1Y1k4C8viOWhzRdvR8UZRFPyHG3Gt2Yx3657jcwkljYq0eWVknzGR9HmlqHTidrggCMKXEa+QwogMPPMmsj9E0uR8MuaX0/zcZoJtXfT89Qn0lcWkXHEuhqqSeIc5KoLHEoY5eVFdV1EUvI1HCLtdaA0jT3eFfG5cXY0AZKSPbLbdl+nrP0RYDmBQWUjWZsVkj6FwBHvZ4/gIadtq5sy6C7M5OjEFAi727n8OFJm08plk1AzvQtl47iLS9B7MVRPQZQwtNtfBfbS/8BiEwhinVpPxretQ6YdXjSq7vfQ99gqeLXsASJ1VTPWPz0GfPrzk43AoioLrcBddHx6gZ/UhAv3u45+zpOuZdJaoJDxZaHRqzv7BBKpPz+bln+9ioNXJ7h+9QOlti8m/bOao3+iUJImSGxeghGSan9lE/5OvH59zkqjMc6ag0uvoufdJ3If20f70Q+Rd8/WYtc0WBEEQEpcxNRdUKsJuFyGHHW1ySrxDOiFjcRn+9lZ8hxowi4RhQnKsWAdA8ox5qI3GOEcjCJH5dJ76Wpy7t+M6sBvZf/SBU0nCMKkCy+K5mGZMQNKIW6HjTdjpxr1+O841mwl19Bz/uLkkg5zzppC9dALaZPE6JQiCMBjiXVIYNu/uQ3i27QOVROV3lmEpyyRn+RRant9C26vb8dc20fXb+zHOmEDGbVeN617wiiwTbOsCQB/llqSBni7CbhcqjQ5TZtGI17O3HgRFxmzOwWhMjUKE/6q7O5JwyjFUxP3p5bASYrd9JYoSJj1tAiZTdJ4iVBSZ/QdeJBBwYkjJpmjh5UP+syqKgqtEhYRExhnLhxyDc+9OOl5+CsIyptmTybjj6mFf/Pjrmui571nCfTYktYrSr59KwRWzkVSj8/3zttvo+vAA3R8ewNs6cPzjxmQtk8/KZcq5eWIm4UmqZGYad718Gq//5x52v9POkftXY9/fTvUPz0JjHv3EV8nXFhL2Bmh7dQd9D7+EpNNhnjPyyu9YMU6tJuuHX6f7L4/hqa+l9YkHyL/+NnFjTxAE4SSj0mgxpmTj7e/A396a8AlDU0k5to0f4z/UEO9QhC8QaO3Et/cwSBIppyRum3Zh/FMUBX9HK45d23Du2UHY5Tz+OXV6CpYFM7Esmo0mMy2OUQqx4q9vwblyA54tu1GCYQBUBi1ZS6rJXT4Va01O3O9JCYIgjDUiYSgMixII0v/0GwAUXDoTS1kkCaO1Gii79TTyL55B05Mb6Xh7N94dB7C/9RGpV54bz5BjKtTTjxIIImk0aNMyorq2t6EOAHNWCSr1yP/J2mPcjhSgpHgJJlMGea74t/iodW7CFepHqzVTU31J1E4Wm1vW0j9Qi6TWUrb0RtTaoSUu+mq30Nd/kOz8a4bVItCxaxudrzwDioLplOlk3HbFsOaGKIqC45012F5+D2QFQ24yE35xHkk10W+t+0V7D2xrovXFrQxsazr+ca1BRc3p2Uw7P5+KhZlotGKexMlOb9ZwxR+mUzQ9lXf/uJ/ejw/jru9h0n9ehLl4+LM6h0OSJMrvXELYG6RzxV76HngWlV6HcWr1qMYxFIaaMrL/7Va6//wIvpZGWh+7j4Kbbkdtis9MUkEQBCE+UkunoysvRZOc+DMBjcVlIEkE27sJ252ok63xDkn4DMd7kepCy4Qp6NJG91xMECJJwjZc+3bh3L+bYN+nFWUqswnT3CmY589AX1EkZhOOQ0o4jGfLXhzvrSXQ8OlcXmtVNjnLp5K1pDouD5YKgiCMFyJhKAyLfcXHhLr60KWbKb7hX9sw6jMsVH3/TKw1ORz+8/u4P9qAdcm8cftU17HqQl1mdtRPSL1N9QBYc8tHvJYiyzjaDgOxTRhaLDmktYYgzqOynMFeGj27AZhQfRk6XXRaawaDXhpa1gBQNP9ijKk5Q4urs57G9S9COIyxtIKUOQuGdPxnk4WWRbNJu/nSYf3cyf4AfQ+9eLwFadaSGiq/d0bMT64VWaF3fR3Nz27CdTjyb0eSoHx+BtPOy2fiGTnozeLtSfg8SZI45doS8icl8+wPtuNoHWDPd5+i8mcXkD6vbHRjUUlUff9Mwr4gPasP0fv3J8n6t2+gLx95FXis6MuLyP7pN+i652H8Ha20PnY/BTffIZKGgiAIJ5Hc6WfgLB4blRZqkxldVg6Bro5IW9K5U+MdknBU2OnGvXEnAKkLFsc3GOGkoSgK/vYWnHt34dq/i+BA//HPSVoNxhkTMc+fjnFKlWg5Ok7J/gCutVtxrFhLuDfSlUjSqsk6vZq8i2aQVDO0+zKCIAjCFxPvosKQhXr6cb71EQDld5x+wuRCzlmT6HxvH469bfQ+/BLZP751XD7hFezsBRjy/LnB8LW1AGCOQjtSn72bcMCLWq3Has0f8XqJTFEUDjjXAwpZmZPJyIheglSrNVJzwbfpP7KD9Kp5Qzo24LZzZPXjEA5jmTSN5FmnDOl4x+7tnyYLT59H2o0XDevfVNjhovt/HiPQ0IqkUVFx11Jyz5sa03YdcihM96qDtDy3GU9z5AJPa1Qz5/IiTrmuhLQCU8z2FsaPwmmpfOvFU3n2B9tp3NrPvn9/ldLbFkVa6I5iuxlJraLmp+cScvkZ2NpI718fIetn30KbG//K6i+jK8qLJA3/8A/8nW1HKw3vQG0evTmlgiAIgjBYxuIyAl0d+GubRMIwgbjWboVQCH1uAYbCkniHI4xjciiEt/EI7sP7cR3YS8j+6egKSafFOLUG0+zJGKfVoDKKirLxSvb6ca7aiGPFWmSnGwBtspH8S2aQe/40dCniPoIgCEI0iYShMGT9z7yFHAiRMr2QzNNP3IJNUquo+fE5bP3G4/gP1uP8cCNJZy4cpUhHT+howlCbHt0bxWGPm+BAHwCmjMIRr2dMzWHqtf+Ben8bKtXQ21d+FVkOcaj2DTLSqslVrKik+CWHe/xN9AfaUEkaysui2w7XXq7HSA75s4e2rhwOUf/h44TdLnTZueRccvWQkn3OvTvpfPnpo5WFc4adLAx29tD950cJ9fSjsRqY/F8XkTylYMjrDJYSluledZDGxzfg67QDYEjScMq1Jcy/rhRzqi5mewvjkzlNz83/mMdbv9nL1pdaqH/wY7ztdiq/vRRJPXqvOyqNmkl3X8CuH72I81AnXX96mJx//yaa1KRRi2GodPnZ5Pz0G3T+/kH8ne20PHYfhTffKZKGgiAIJwk5GCDQ3YkuIxuVPrFvsBuLSrFvXo+/rumrv1gYFYos4/poEwApcxeI2WBC1AXtNty1B3AfPoCn/jBKIHD8c5Jeh3FaDaY5UzBOrUalF9eR45ns8eFcuQHHe+uQ3R4ADDnJFFwxm5yzJ6E2xLmllSAIwjglEobCkHh2HsS7Yz+SWkXFt5cN6gLBmJdC2W2LqLt3FfaX3sU4pRptTnTn/MVbsOtYhWF0E4ZKOEzKKachdTnR6I1RWVNrtJKcUhqVtf7ZgK2ejo6t9HXtIy/zppjsMVgZ+kLKy85BUWSMxtSorNnXdxhfsQULw/v7a/nkNdw9TagMRvKu+Roq3eBv0rhrD9Lx8lOgKJhPm03azZcMK1noq22k72+PEXL6MOQmM+V3l2IqiE2rYEVR6NtQR8Oj6/E0RhLflnQ9C28qZc6VRRgs4gRfGD6NVsVFd08hu8LKO3/YT8dbuwj0u5jw8/NG9eJRbdQx+TeXsPO7z+FtG6DnL4+T/fPbE/oGhjYvi5yjlYaBrg5aHruPgpvvRCOShoIgCONey9/+jN/eQ8FNd2Aqr4p3OCdkLIqccwea2pF9flSGxE5wngx8B+sJ9fSj0huwTpkR73CEcUAOBPA2N+CpP4yn7hD+zvbPfV6dYsU4tRrjtAkYplSh0olryPEu7Pbg/GAD7pVrCbn8ABjzUym6bh7ZyyaM6gOigiAIJyORMBQGTQkEGXj6DQDyL52JuXjww83zLphO77o6bDua6XvoBbJ/fse4ak16rMJQlx7dlqQaaxJZyy/B2qREdd1Y6enZD0CWvhQpjtWFAKEJxRRTHLX1/H4Hew+/QHivl8qzbyMp/8TVtf+s9/Ameg9uBEki9/Lr0aUNPmnubW2i/YXHICxjmjeN9K8Nb2ahe8se+h58DiUYxlqdw+RfX4IuNTbtOwa2N9HwyDqcBzsBMCZpWXRrOfOuKUFnjH51q3BykiSJ+deXkpRt4MWf7KRvwxF2//hFJv/qErTJ0XnIYjB0KSam/P4ydnz7aQJNbfTe/xyZ374+od/ntHlZR9uTPkigq4PWR/8eSRparPEOTRAEQYghY2oufnsPvs72hE8YalNS0SSlEHLY8Ne3YJxYEe+QTnquj7cCYJ06c0gPPwrCMUo4jK+9Bc+RWjz1h/G2NkIo/OkXSBK6skKM06oxTatBW5QnKllPErLbi+O9tbhWriPsiVSWmorSKLruFLJOrxaJQkEQhFEiEobCoNnf/ZhQTz+6dAvFN8wf0rGSSqL6R2ez9bbH8dc141ixluTl42NAuuz1EbY7AdCmJ27lpHegk5ZPXiPbWEly4alRX19RZHp7IwnDbENZ1NcfrJAcIFRTTDRPJRVFZv/Blwj7PZjSC7DklA95jXB5OuptZlJOOQ1z1YRBHxfo7abtmX+g+AMYJlWScdsVw0pCON5by8Bzb4MC6fPLI1VYxug/nek81En9Q2ux7WgGQGdUM/+GUk69uQxjkngaVIiNSWfmYk7X89RdW3Ds72DH955l6u8uw5CTPGoxGHOTmfSfF7HrRy/i3bEf2wsrSL16+ajtPxza3MxI0vD3/yDQ3RmZafi1b4pKQ0EQhHHMlJ6PrXE3/o7WeIcyKMbiUpx7duCvbRIJwzgLuz14tu4FIHnm3DhHI4wVSjiMv7MNT0Md3sZ6vE31yH7f575GnZaMYWIFhokVGCdXok4S56InE9kfwPnBelzvrSHkjPxsmEsyKL7hFDJOq0JSiYSxIAjCaBIJQ2FQQr0DON/+CIDyOxajMQ291ZohO4nyO0/n8J/fx/7q+xin1aDLz452qKMu2BVptai2WFEbolvR4m1qQJ+TB4y8tZ2zow5ney2aVIWiGCQM7Y4WAkEXGklHui4/6usP1j7HGhxb7VRXX0JKcnQqDFtaNzAwUIek1lJ6+rWo1EN/6TSVVVL8rX8b0pywoMNG6+MPILs86EoLyLzreiTN0PZWZJmB597G+f56APIumk7FN5dE/em8wICHhkfW0rViL4oCaq2KuVcWsfi2CiwZ4uljIfZKZqbxjScX8Pjtm7G3DLDjO88y5beXYqmIbuX3iSRPyqfm387mwG/fwbHiYzQ56VhPnzdq+w+HNifz00rD7k7anniAgpu/ido4ehWagiAIwugxpeUB/Evbv0RlKCo5njAU4svzyS4IhdBl56LPK4x3OEKCilQQtuJtrMPTeARfcwOy3/+5r1GZjRhqyjBMqsQwsRxNdoaoIjwJKYEgzo82YX97NbLDBYCpOJ2SmxaQcWqlSBQKgiDEiUgYCoPiePdj5ECI5KkFZJ4+tFaMn5VzzmR619bSv7mBvodeJOcXdyJpxnZ7wuPtSIfQYnIwgg4bLQ/fC2o1M67/DSrNyKqzXJ31AKQkl0Qhun/V07MPgEx9MSopPt/TLl89Hb5aQIpaDG53N0ca3wegcN6FGFIGn+RW5DABt43A5MjPhsaaNOhjw14PbU88SMg+gCYng6zv34zKOLTEmxIO0/fQS7g37gCg7BuLKLhidlQvxuRQmPY3dtH25Fp8zhAA087P54zvVJGaF5t2p4LwZbLKrdz+9EIev2MzXbVO9v7wWarvvpjUmdFrT/yVMSydgLfdRuNjG+h/4jU0GWkYJ1eO2v7Doc3JIPsnt9H52wfwd7TR9vRDFNx4Oypd4s5hFARBEIbHmB55sC/Q240cDKDSJvZr/bE5hv66JhRZTuh23+PdsXakyTPmiuSOcNyxFqPehiN4GuvwNjegBAKf+xqVyYC+qhRDTRn6mlJ0RXni3/JJTAmFca3biv2NVYT77QAY8lIouXE+WUtqROtRQRCEOBMJQ+Erhe1O3Gu3AFB84/wRXRxIkkTVD85i622PE2hoxf72alIuWhatUOMi2NUDgDYjM6rr+tsibYKMSVkjThYqioKz4wgAqSmlI47ti/QP1AKR+YXxEJB97HOsAaC4aBFJSQUjXlOWwxw4+BJKOERSQQ0ZNUNrxdu29V16Dm8gR3MdlprJg983EKDt6YcJdHeiTkki+4dfH3JbFiUYoue+Z/Bu3w8qiZqfnEv2ssG3Qh0M284Wav/3QzyNkSrb3AlJnP+zSRTPTIvqPoIwFEnZBm59fD7PfHcrDVv62ffzl6n+xQVknjZ6Sbui607B0zpA98oD9P39SbJ+8a2Er6jX5mSS/aOv0/m7B/E1N9D+3KPkXXsLqiFWNQuCIAiJTWtKQmOwEPK5CHR3YchP7EoxfVYukk6P4vMTbO1EV5QX75BOSoGmdgJNbaBWkzRtVrzDEeJIkeVIi9G6w1+eIDSb0FeXRKoIq8vQFuaIBKGAoih4tu7F9tIKQkc7dekzLRRfP5/ssyehGuPFBIIgCOOFuAskfCXnqk+QAyGsNTmkTBv5BaU+w0LFXUs5+Lt3sL++EtP0GnTF8WthOVKhzsiJji4tuglDX3sLAKbMkf+d+x29hHwuVJKGpKTo3xQIhfyEQn5AIl0fn+/lQcd6ArIXsymL0pLoJKG7e/bgcLai0hooPvWKISXL7c376doTaeOrhEKDPk5RFLpeew5fcwMqk4GsH34dTebQEnCKLNNz/7N4t+9H0qqZ+MsLyJg/9LmLJ4qx+elPaHxsAwCmFC1nfKea2ZcVoVKLp42F+DMmabnpgbm89LNd7H2vg4O/fhPp/11AxqmjkzSUJInqH5yFr9OBY28bPX95nJy770JtSeyqW11RHlk/+Brd9zyEp+4Qna88Q+7l14sbPIIgCOOIJEkY0/Jwth/G19Ga8AlDSa3GWFiM58hh/LVNImEYJ6712wCw1Ewe0ogFYexTFIVgfy+e+trj/8lez+e+RmU2oa+JVBAaasrQ5meL80fhc4Lt3fQ9+Rr+A5HOV9oUE0XXzSPvvKmodOLWtCAIQiIRr8rCCSmhMK41mwEouGxW1FqPZC2tofujg/R/Uo/zw42kf/3yqKwbD6F+GwCa1OhWVfm7O4BP54yMhKc3kny0WPNQqaL/z16j0bNw/o9RH2hALY2sGnI4+vxttPsOARI11ZdG7c9omD+H4nSQ1Bp05pRBHxfyuWhc9wIAKfMXYZ08fdDHDqz/COfenaBWkfndG9EV5gwpZkVR6H/qDbzb9iFp1Uz59SWkzopeO0Y5EOLgPSvo+egQALMuLeTsH9ZgSk7sdlbCyUejU3PlH2eg1qrY9VYbB3/9JjV3XxTV5PmJqHQaJv/nhWz/1tP4Ovvpvf9Zsn7wtYS/eWKoLCbzOzfS/T+P4dq7kx6zhczll4jWY4IgCONIRvVc9FNqjrf7THSGgqMJw/oWrMuG1vFDGDlFUfBsi4yfSJo6M87RCKNBDgTw1NfiPrQP95FDhGwDn/u8ZNAfnUFYIRKEwgnJ/gD2N1bhfO9jlJCMSqeh8Ko5FFwxG41J3EMQBEFIRCJhKJyQZ8d+wjYn2lRTVCszJEmi8Mo59H9Sj2fzLlKvuWDI89kSRdjmAIY2n24wAt1dABhSR97GztMbaW9qtcT2idx4JAtlJcz+o61I8/PmkpxcFLW1JUlFRvW8IR2jKApN618m5HWiy8wm44zzBn2st6mB3pXvAJB27QUYqsuGtDeA4+01uFZ9AhJM+Om5UU0WBh1e9t39OvY9bag1Ehf8+2RmXx69v29BiDaVWuKy30xDDivsebedg//1BhP/82LS5o7ODVJtsolJ/3kRO77zLL69tdhe/YDUy84elb1Hwji5kozbrqT3/mexbVqH2mIlffGZ8Q5LEARBiJK0shloi8fOgyCGgsj5ZqChNc6RnJwCTW2E+2xIOi2miup4hyPESMjpwHVoH+6D+/A0HEYJfqZLjlqNvqIIw8QKjJMq0JUWIKlF+0jhyymKgnf7fvqfeZNwnw2AtFPKqPjWUoy5yfENThAEQTghkTAUTsi1ehMAuedOQaWN7glh8pR8jIWpeFsGcG/aifX0oSVmEoGiKIQHjiYMk6J30iMHgwT7ewEwpgytwuyLKIqCSqvHah1/LXyCsh9dUgZBV4iy0rOisqbT2U5wYi7D+YnvP7IdW+NuUKnIuew6VNrBJVHDbhcdLz4JsozplOlYlp4y5L1d67dhe2kFAOXfXELm4uhd0Hs77Oz5+ct4WwbQWzRc+9dZlM/LiNr6ghArKrXE5b+bhhyS2fdBJwf+4zUm/urSqCbTT8RSnkX1D8/iwG/fwfHmR+jLizFNrxmVvUfCfMo0wk4XA0+/Sd+H76KxWEmeNfTXJUEQBEEYKUN+JGEY7OhB9vhQmQxxjujk4tkaqS40V05EpRUVQeNJ0G7DuXsbzv278be1fO5z6vQUTNMnYJxajb66FJVhbD7gLYy+UJ+N/idfx7vzAAD67CQqvrWEjAUVcY5MEARBGAyRMBS+VLCzF9++OpAgd/mUqK8vSRK5y6dS/8AaXGu2jMmEoezxogSCQHQrDIN93aAoqHVGNEbriNcrPOUiCuZdQFKdLwrR/av9B17C5x+gSjWNNN3oJiWlSVVMVyrx++1otcYRrxcK+di95wnkgxKVZ92GMS130McG3DaaN70CQPrpZ2HIKxjUcYos0/nKs4QcNjQ5GaTfNPT2f949h+l/5GUACq6cTcEl0WsX5DzUyeFfvoS3z09StoGb7p9LduXIfy4FYbSoNSqu/OMMnvvhdg6s6uLA3a8w8deXkzJ9dOY2ZS2dgH1fO+2v72Tg4efQ/fI7Q55NGg9JZy4kbHfieGs1XW+8iNqahKVqYrzDEgRBEKLA39VBoLsTc9UEVPrETsBpLFY0KamEbAP4G1sxThQ3nUeTZ9teACwTJsc5EiEaZL8f14E9OHZuxdNQC4py/HO6skKM02swzZiItiBHtKQXhkSRZZwfbMD+6nvIviCSRkXBFbMpvu4U1IbR70YlCIIgDI9IGApfyrU6MrswbU4phpzYtAzIPnMiDQ+vJdDQSqCpHV3x2KqAO1ZdqDKaovq0pdpsJXP5xeh6glE7SU+pD4IqNm1D7PZGvL5+lNSpMVn/q0iShMGQEpW16hs+wB9woDdkoE8aWgWdRm8macY8fC2NpJ22bNDHDWxYjbv2AGg0ZH7z2iG35w00tdH39ydRwjJZyyZQduuiIR1/In2fHOHQb94k6A2TU53EjX+fQ1J2Yt9UEoYv4AnhtgXw9AdwDwRw9wcI+sIkZRtIzTeRkm9Ebxqbpw5qrYqr/jSDZ767jcNre9j//15m4m8vJ2XK4BL7I1V++2KchzpxHuyk5/+eJufndyDpEv/COeWyswnbnbjXbqPjpSco/Nq3MeTmxzssQRAEYYTaH/sHQbeNwlvuwlg89Db4o82QX4TLNkCgXiQMR1OwvZtQRw+o1ZjFQ0NjliLLeBvqcOzaivPAbhR/4Pjn9NWlmOdPxzR9IuoU8VCoMDyBpjb6Hn2FQGMbAEmT8qj6wVmYi9PjHJkgCIIwVGPzrp8Qc0ogiGvdVgDyLpwWs310KSYyFlbQs+YwzjWbSb/x4pjtFQuxaEcKkWrF1FMWYW1SvvqLv4KiKDF9MjAcDuL1RYagWzSpMdvnn3V4a+k1OygLpkelshDA4Wilte0TAIoWXIZKM7Sb+e5yHVnlF6GEQoOe6eBt/szcwusvQFc0tKR5qM9G9/88RtgbJGVGEdU/OhtJFZ3vd/ubu6i7dyWKDBULMrj6v2disCR+gkMYPFuHl03PNbHv/Q6cPT6CPvkrjzGlaEnJM5GabySjxEzFwkyKpqWi1qpGIeKR0ejUXPOXWTx111aObOzl4L+/zOQ/X4OlIivme6t0Gib+vwvYdueTBBrb6H/mLdJvviTm+46UJEmk33Qp4T47vv11tD/9EIXf+C7apJR4hyYIgiCMgDE1h6Dbhr+na+wkDPftwt/Q8tVfLESNZ1ukHamprBK1ITrXXMLoUUIhHLu30b92FcG+nuMf12RnYF44A8v8GWOi64WQuGR/APurH+B4fx3ICmqznrLbFpG7fErU7ksIgiAIo0skDIUv5N66F9nlQZ9pJW1OaUz3yl0+lZ41h3Fv3EnqVctR6cfOXITwgB0AjTVxhza3b3uXgYZdlOScRn7enKiv7/X2AQoaSYdONToXkUHZz0Hnevx2DwZDCsVFi0e8piyHOXj4VUAhrXwWSflVgz425HPhqTQjETkhljSDe2kNe9x0vHBsbuE0LIvnDi1mj4/u/3mUsM2JuSSDSXdfGJVZo4qi0PTERpqe3AjAzIsLuOjuKWMiISR8NUVRaN4xwManGzmwsoNw+POf1+ogLU1FWrqK1DQVer1EV2eYtpYwdruCxxbEY7PTvj/y+rfmH0cwWDVULMikalEWVQszsWQk7owTrV7NdX+bzRN3bqZxaz97fvEKM/52LYbs6LWV/jKG7CQm/Ow89vz8ZVyrN6GvLMayMHrtg2NF0qjJ/NZ1dP7mPoLt3bQ/9TCFt9yFSp+432dBEAThxIwp2ThaDxLo7ox3KINiKIjMMQzUi4ThaDrWjtQ6MT6dZIThkQN+7Ns2MbB+NSGHDQDJaMA8fzqWBTPRlReKdqPCiHn3HKbvsVcI99kAyFxcRfk3l6BPt8Q3MEEQBGFERMJQ+EKujyJVVrnnTUVSxzZJkDKjCENOMr5OO54te7CcOium+0VTKEYVhs79u9GmpGGRc5BG2EbU09uK39ELOV9dOTSs9b29AJg1KaN20XHAsQ6/7MFkzKCwYGFU1mxt24jL1YFaZ6Rg3gWDPk6Rw9S9/wjhtSpyL7sObergntD83NzC7AzSb7p0SH9/SihEz/8+RbC1C126hcm/vQSNZeQ37xVFof6BNbS+tA2Apd+sZMmdleKCchwIBWX2vNvOxqcajyf7AOYt0HHdTSZqJmhJS1dhtkhf+v12OmTa2yLJw9aWMHt2B1i72o9tIMTe9zrY+14HAPmTkpl0Vi5zrypKyKpUnTGSNPzHjRvornOx52cvM/0vV6NNiv1DD2lzSii+fj5NT25k4IlX0BXloSvMifm+I6UyG8n8/s10/urv+Dvb6HjxSfKu/TqSSjxIIAiCMBYZUrMBxk7CMLcAJInwgIPQgB1NauI+sDlehHoHIu0FJQlz9aR4hyMMQtjrwbZpPbZPPibscQOgTrFiPfs0rKfPG/LoC0H4ImGXm4Fn38a9fjsA+uwkKr+zjPR5iV+tLgiCIHw1kTAU/kWgpRN/bROSWkXOubEfbC6pJHKWT6HxkXW4Pt4yphKGsWhJKgeDdDz/OCgKKdfcjdY0/KoXRVHw9EV6yFstsZkP6fFEWpuY1aPTjrTb10i77xAgUVNzGSrVyF/GfD479U0rASiYewFa4+BnN3TtXYO7pwmV3gBDSKrZPlmL+/D+yNzCbw19bmH/02/i21+H2qhlym8uwZAVneqoxsc3HE8WnvfTicy/PrYVxsLo8LmC/N/laxlo9QKg18MFlxi54WtmqicMPqFnTVJRnaT6zDFmwmGFPbuCfPyRnzWr/OzbE6Rtn522fXY2PXKI0+6ayJwrilBrEiuxZEzSctP9c3ngug04mvvZ+8vXmfbHy1HpYn9qVHz9KTj2tzOwrYme/3uK3P/4NipD4t/A0WamkfXdG+n6/YO4D++nZ8XrZC1P/LaqgiAIwr8ypkQeVvGPkYShSq9Hl5VDoKuDQH0rmlkiYRhrnu2RdqTG4jI0FjHbLpHJwQAD61fTv+EjFJ8fAE1mGknLF2NZOHNMzM0Wxgbv3lp6H3we2eECCfIvmUnp1xaiNo6dTmGCIAjCiSXW3TshIbhWbwIgfUH5qLUSyDq9GgD/kRaUf+6Pl8DC9qMJQ2v0WtkFbf2gKKi0ejRDSFx9kZDPRcjnAiTM5thUsPj9kUolozr2F5FhJcQB51oAigpPJSW5OCrrShIkF03Ekl1KetXg27YG3Dbad34AQObyi9GmDC5pGrT107vq6NzCa88f8txC7/46XB9tAgkm/L8LojZ/zdM6QNtzkX//F909RSQLx5G2fXYGWr2YzBLf+7GV1Zuy+fUfU4aULPwyarXE9Jk6vvNDKy+/ncHarVn81++TKa/QYLcrvPWbfdx31Xoat/dH4U8SXck5Rm66fy4GqwbH3jYO/ff7KMrIZ8d+FUmtYsLPl6PPtBDq7KX/6Tdjvme06MuLSP/GVUDkwQfb1o1xjkgQBEEYDkNKpMIw7HIS9nnjHM3gGPILASJVb0LM+fbVAYjqwgSmKArOfbtovPcP9K1ageLzoy3IIeOOq8n7/Q+xLpknkoVCVCiyjO2V9+n+88PIDhemojRm/PUaKr65RCQLBUEQxhmRMBQ+R/YHcG2ItBXIPX/05hQYcpJRGTQQDhPqTrybyl8mbHcBoLFEMWE40AeA3po24jaQ3oHIE8NGYxpqdWwuFNRqA3p9Mnq1KSbrf1a9azvesBO9PpnSkmVRW9c3MYuyJTdQec7tSNLgXxZbN7+JEgxgKCwhafrgEo2KotD91isogSD6qhIsS+YNKVbZH6D/0VcAyLtwOulzo5fUq//Hx4RDClWnZTLniqKorSvEn60tciNw5mwdd9xlITUtdm//mVlqrrzWxBsfZHD3b5JITpboPOTgoRs38uJPd+Ls8cVs7+HIrrRy9Z9nolJLdK88QPPTm0ZlX22yiZqfLgcJ3Gu34tm6d1T2jQbznCkkX3omAN1vv4yn8UicIxIEQRCGSq0zHH84MdjXE+doBkefmw9AoLk9zpGMf4os4zvcAICptCLO0QhfxN/ZTuujf6fj+ccJ2QZQpyWTccc15P7qu5hPmY6kHvlse0EACNkcdP3xIexvrAIlMrpo5n3XkzQxNl2sBEEQhPgSCUPhczybdqF4/Rhyk0mdEZ3qrcGQVBKmonQAgu1do7bvSIXtTgDUUWzRErINAKCzDG4W3on4bJG/S7MpOhVoX6Si/BwWzv8JRabYtq8NKyFagocAqKw4D7U6+k+xqTSDT6o6O44wUL8TJIms8wc/f9C1b1ekFalaTdpNlww5KWx/9QNCPf3oM62U3nLakI49kYGdzfStr0OlljjnRxOitq6QGNwDAQDSM0bvbV+tlrjmBjMr1mRx5bUmJAl2vdXGveevYv3j9YRDsZmrOhwVCzI5/+eRp+cbH1tP9+pDo7JvyrRCCq+eC8DAEy8RsjlGZd9oSL5gKaa5UyEs0/7iYwSPvncJgiAIY0fB3AvIu+ZraNMy4h3KoBhyRMJwtASaO1C8flQGA/ockRRIJGGPm643X6Lpvj/jbTyCpNWQfNEy8n73Q8ynTBOz54Wo8u6vo/s//oL/YD1qo5YJP19O1ffPRK0XlauCIAjjlUgYCp/jXL0ZiDwxJKlG90TTVBRJkAXbx8YTroqifKbCMHoJw08rDNNHvJZv4GjC0By7hOFoUUsa5s7+DhXly8nMiE5bnN6+Q+xofhG/c2hVrYocpmXjqwAkz56PIbdgUMeFvV663zl63Pmno8vPHtK+/voWHO+vA6Dye2egMUUnaaqEZervWw3AnCuLyCoXM0rGG8/RhGEsKwu/TGqaiv/6fTIvvJHOtBlaPG6Fd+85wP3XrKdtr23U4/kyc68qZsENkYrd2nvewXGgY1T2LblxAZbKLEIOH30PvzQqLVGjQZIk0m+5HF1xPrLTTftzjyEHg/EOSxAEQRiC9IpZWCZMQW2MfaeQaNDn5IEkER5wEHa44h3OuOY/WA+AsagMSSVuGyUK14G9NNz7W+xbNoCiYJozhbzf/ZCUS85EpRdtIYXoUWQZ+xur6P7TwwRtHsxlmcz8+/VkLRUPFwuCIIx34sxPOC7Q1kWgvgVJrSLn7NhWi32RTysMu0d97+FQvH4IhQBQW6I36zF4vMJwcPPwTkRrScGUUYDFkjviteItUFOATmemqPDUqDw1Kcthjhx5l4H6HfQc2DCkY4NeJ7JeQmU0kbHs3EEf1/vBW4RdTjQ5mSSfd/qQ9lRCYfoefRlkhaylNaTPKxvS8SfS+f4+XEd6MFg1LP1mVdTWFRKH2xZJGKbFIWF4zJRpOp59NZ1f/SGZ5GSJjgMOHrh2PW//fh9+dyhucX3WOT+aQPWiLEJ+mX3/8TqBfnfM91Rp1dT8dDkqnQbfnsO4Pvwk5ntGi0qvI/Pb16OymPC3t9D91stjJuEpCIIgjD0qveF4NaSoMowt36GjCcOS6F1zCMOnyDK9H75L+7OPILu9aAtzyP7JbWR+6zo0GSO/byAInxV2uen+y+PYXnkfZIWccycz495rMBWOvAuWIAiCkPhEwlA4zrNlDwCps0vQpY7+U6bm4qMVhh1jI2F4rB2pymBApY3e03yfnWE4UrnTljHhou+TnRW7eZRbt93H1m334Q07Y7J+WAnR7WuM+k3ojs5tuD3dqPUmcqYNbR6if2IqRXf8gMJb7kJtMg/qGG9TPfatGwFIv/mSIQ+fd7y3lmBLJ5okA+XfXDKkY08k5AnQ8EikanHJHZWYU8WTqeNRPCsMP0ulkrjiGhPvfJTJBZcYkGXY+FQjf71wDQdWdcY1NgCVWuLKe2aQVW4h0Odm/6/fQgnHvnWquTidstsiLYZtL7w9Zh6cAdBkpJJx5zUgSTh2bI488S4IgiCMCeGAD+f+3di3jZ2HVT6dYzg6nQBORoos4z/cCICxpDy+wQiEvV7an36Y/jUfAGA9cyG5d38bwwTxvRGiz1/fQsfd9+LbfQiVTkP1j86m+odnixakgiAIJxGRMBSOO5YwzFwcnwqjz1YYKnLizLb6MsfnF5qj274xY9m5ZJ5zEaaMwbW5jCdFUXA623A4W5CITQvbetd2ttve4dDh16K2Zijkp6FhJQB5M85CozcOeQ1JpUKflTOor5VDIbreeBEAy6I5GGqG9qRusLsPxxuReMvvOB1dSvQS+i3PbSY44CG9yMS8a0uitq6QWI7NMExLT4y3/fQMNff8NZWHn0qjqFiNo8vH09/ZxtPf2YqjyxfX2PRmDdf8zyx0JjX23a3HE+qxlnfRDFJnFSMHQvQ+8DxKKDGqLgfDOKmSlCvOAaD73dfwNjfEOSJBGH8UORzvEIRxKOh10vHcY3S/89qYuP6Cz8wxbBIVhrESbO9GdnuRdLpBj14QYsPf1UHzA/+Du/YAklZD+m1XknbdBUgadbxDE8YZRVFwrtxI12/vI9xnw5ifwox7ryHnnNHvPiYIgiDEV2LcORTiLtjeTbCtC0mjImNBfJ5UM+alIGlUKIEg4X57XGIYimMJw2jOLwQwV04gdcFidOaUEa0jh4IocpjkI/7oBPYFwmE/CpGbC1qVPurre0J2Gjw7AUhLrYjaus0tHxMIutAnZZBRM3/Qx7l7mmmsfx85GBjSfgNrPyTQ04UqyULKVYNvYQqRE/f+J15D9odImVFE9pkTh3T8ifi6HLS/tAWItGLUaMVbwnh1vMIwNbG+xwsX6Xnjg0xuv8uMRgMHVnXx8FUf0bhtaHNFoy2zzMKlv5oGQMvzW+hdXxvzPSWVRPW/nYPGaiDQ1IbttQ9jvmc0JZ27CNOcKRAO0/7844ScjniHJAjjStu2FfEOQRiH9NY0kFQowQAhZ+Jff8FnKgxFwjBmjlcXFhQjqUViKl6c+3bR/NBfCfb3ok5PIfsXd2JZODPeYQnjkOzz03v/c/Q/9TpKSCbj1Epm/t/1WMqz4h2aIAiCEAeJdedQiBv3lt0ApM4sRmMxxCUGSa3CmB/pvz8W2rGFHS4A1NakqK9tbRp5+82+uq3sePxnHDz02sgD+hLBkBcAFWpUaKK+/gHnOmQlRGpqBZmZ0Xmyze+309QaqRjKn3MeKvXg4lYUmeYNr9D30Xv0rnx30PsFervpWxupDky79gLU5qFVB3o27cK3txZJq6byu2dEZX7jMfX/+JhQQKZ0bjo1S7Kjtq6QeDxHZximJFjCEMBgkPj+j5N45d0MaiZq6OuVeeyWjWx+vimucU0+O5cFN5YCUHfPO3jbBmK+pz7DQtX3zwTA8c5qfLWNMd8zWiRJIv2Wy9HmZRF2Omh//vExVSUpCImu9+AG+mq3xDsMYZyRVGr0SUe7vPT2xDmawTmWMAx19SL7Yvdg5MnMdzRhaCgqjW8gJylFlun54C06nn8cxR/AMLGC3P/4NvqS/HiHJoxDwe4+Ov/r//Bs2oWkVlF+x+lMvPsCNJboPxAuCIIgjA2Jd+dQiAvv9v0AZC6KTzvSY0xFR+cYdib+BavscAMMeobdYARt/Tj378bT1zbitfz2HhQ5jFodu17z4XAkCaGWtFFNZAF0+Rro8TchSWqqKi+I2vrNLetQwkHM2SWkFE8Z9HG2xr14eltQ6fWknTr4GYK9H74LoTCGKVWY5g1tlqQiy9hejSQbi6+bh6kgugPt+zfVA7DsW1VR//4JiUWlibzdv/ayJ86RfLmqai3PvJLO8gsMhELwxq/28u49+5Hl6M4vHYqzv19D0YxU/K4Q+3/zNnIw9i0BMxdVRSqJZYW+h19CCQRjvme0qAx6Mr9zA5JRj6+5gd6Vb8c7JEEYV5rWv4irqzHeYQjjjCEpE4BAX+Jff0Gku4vamgSKQrC1K97hjEuBhhYAjCJhOOoURaH7rZcZWLsKgKRzFpH1w6+htkbvnoMgHBNo7aTrt/cTbO9Gl25m2p+uoODyWeLegCAIwklOJAwFQgOOSEsXCdLmDW22WrQZcpIjMfXGvpJjpGRfZM6WWh+9ikxPfS0dzz1G29Z3RrxWwBNpB6fXJ494rS+jVkWSkTLRrSIJyj72O9YAUFiwELMpM2prp51+LnmzziV/1vJBnwgrikLHzsiQ+ZRTFqEZZFWpv6sD175dAKReNfj9jvHtP0Koqxe1SUfBZbOGdOxgGHJTAPA6xk5CQhies79fA8AjD7g5uD9xv98mk4o//28K3/s3CwDrH2/guR9sJ+CNz+wutVbFVffMwJisxXW4i4ZHR2eeYcW3lqBLNxPq7MX2xthqTarNySTj1isBGNiwBteBPXGOSBDGB3PVRJRwmCMfPkbAbYt3OMI4crzCcKAvzpEMnj4rF4jc7BaiSwkECXVHWsPrs3PjHM3JRVEUut9+BfvWjSBJpN96BalXLxdtYYWY8Ne30POH+wnbnJhLM5j59+tJniJmlgqCIAgiYSgAvj2HALBW56BLHVq7xGgz5EQSMWMjYRiprlPpo9eqIeyKtDnVGi0jXit4LGGoi+6Mxc9Sq3UAhJUQihK9KqCDzg34ZQ8mYwalJcuiti6ARm8kd/oZWHMHP6vT3rwPb387kk5P6vxFgz6uf00kyWiaPRldQc6QY3V+uBGAnLMmoTbqhnz8V7FURmYStO8bGzNrhOGbdWkhE8/IIRSCX/ybnVAoflV7X0WSJO74tpU/3ZuCVgf7V3byyNc/wdUbn7ZjyTlGLv1VpDq49YWt9G9tjPmeGouByu9EXvsc76wZc3OaTLMmYT37VAA6X3+W4EB8Z1IKwniQfeEV6LJzUVTK8XM8QYgGvXUMJgyPJrKCImEYdcGuXlAUVAYjakvsriOFz1MUhZ4Vr2PfvD6SLLzlciynRv+BUUEA8B04Qs89DxJy+rDW5DLtz1eiTx/5PShBEARhfBAJQwHv7kjCMG1u/FuOGLLHToWh4o8kDCVd9BKGIXckYagxRCNhGEkC6fTRn7F4jFqtQ6s1YdCnRLXKMLNqIUZDGhNqLotaS1VZDmMrG3rS7XPVhfMWDroFbaCnC+fR6sLkC5cOed9Qnw3vrgMA5F4wbcjHD4a1IpIwbN1ri8n6QmK54BeTSEqS2LcnyOMPueMdzlc6/yIjjz6dTnKKROseG/dft57eRldcYpmwNIe5VxUBcPAP7xIYiH1r14yFlWQsqoq0Jn30ZZRwfKoshyv1inPRlRUie3x0vPjkmItfEBKNpNOTf+0tFN3+PeTZxfEORxhHdMcShv1j5+EO3dGEYaClI86RjD/B9m4AdJnZoi3hKFEUhd4P3sK28WMA0m6+RCQLhZjx7jpIz/88StgbJGV6IVP/eDnaJGO8wxIEQRASiEgYnuSUUAjv3loA0ubGtx0pfFphGB4DCUPZF6l2iWqFodsJgGaEFYaKonymwjC2CcPTFv47C+b/GLUUvVmJaanlzJv7fZKTo3dDrLHpIw6++TecHUeGdJyj7RCe3lYkrY7UBacP+rj+9R+BomCcMQFdUd4QowXnR5tAVkiZUYS5OH3Ixw9GyoxIAqR+Ux8+V+K2qRSiw5ppYNm/ReZ2/u3PTpoao9tKOBZmz9Px3GsZFJeosbV5eeSWTQy0x2cO47n/NpGsCgvBAQ+H/vReVKuqv0zlXUvRWPQEGttwvr8+5vtFk6RRk3nnNUhGA77Wpsg8V0EQRkSbmoY2JTLv21ksEfIn7lxaYewwZxaRe/XN5Fx2TbxDGbRPKwy7RuX9+GTyacIwK86RnDz6Vq1gYN1HAKTdeDHWxXPjHJEwXrk376bnb08gB0Kkzy9jym8vRWOKficjQRAEYWwTCcOTnL+2CcXnR5tixFqVHe9wMGRHkluyx4fs9sY5mhNTjiUMo1hhGD5aYag1jKz9ixz0I4ciFZB6/dhpJROUfQRqIn3zVarozWoIhXy0dGzA09NMyDe0CiW9JRXrlBmkzF2Axjy4RG7IYcexaxsAyeedPtRwUYIhXB9vASDvwulDPn6wTMXpmIrSCAdlDq3pjtk+QuKYeXEB5adk4PfDv//Yjiwn/k220jINz76aTnmFBkeXj8du3YSz1zfqcWgNaq66ZyZqrYr+TfV0rtgb8z11aWbKbl8MgP219wl2j512cQCazDQybrkcgIF1q3DXHohzRIIwfrgO7GXPi7/G1ijmhAojozVasE6cij576A+4xYsuMwskCdntIWxzxjuccSXY0QOALiP+9wZOBn0fvXd8jEXqdRdgXXpKnCMSxivnmi303vcMSlgma0kNE+++EJVOE++wBEEQhAQkEoYnOe+uo+1I55QiqeLfckRt1KFNjrRDCPUldpWhHMOE4UgrDOVwkJSSqaSmlB+fM5jo+vxtrO57ita2jVFfu6V1A+GAD0NKNiklU4Z0bHBaDrlX3EDGWRcM+piBT9ZCOIy+qgR9xdCrJD1b9yI7XOgyLGQsGPysxaGSJImM06oA2PueaOl0MpAkiYv+YwpGo8SWTwK8+GxiP5hxTFq6mkeeSSO/UE1fs4fHbtuMxx4Y9TiyK62c+Z3Iv5nG+z7E2xH7+Z8550wmZXohsj9E/+OvjrlKCtPsyViO3vzqeO0ZQg4xM1UQosFTfxjZ76d+7TN4+triHY4wxlmbxtZ7i0qrQ5ueCYg5htH22ZakQmz1f/whfR+9B0DqVctJOnNhnCMSxivH++vof/RlUCD3vKnU/PRcVJroPaAtCIIgjC8iYXiS8+4+CCTG/MJjjlUZJvocw2MzDKOZMAwdrzAcWcJQa7RSvuwmZky/JRphndC+/c+zZdv/4Qj2DnuNkBxkr+MjwuEALldXFKODUMhPS2uklV/u9DOQpOG97A12hkfY58O2LbJf0rmLhrWX88NI0jTv/KlI6ti+TGcuqgSgdl0Pfnfit6gURi6twMSS70wA4J7fOujsGBuz5bJz1Dz6dBqZWSq6ap08ceeWuPzMLrixjOJZaQQ8YQ7dswIlxlWakiRR+b0zUek0+PbV4V6/Pab7xULa1eehLcxFdrrpePlpFFmOd0iCMOZlnnMRprIqlECAuvcfJuAWyXhh+JwdR+hf9xG+tpZ4hzJox9qSBkTCMGqUcJhgZ6TCUJ8lEoax5D58gN6VbwOQcvk5w75uFIQTURQF2xsfMvDMWwAUXDGLyu+dEfN7DIIgCMLYJt4lTmKhnv7IE4QqidTZJfEO5zh9TjKQ+AlD2Rv9GYZZ511K1vmXobPGZmZdLLjcnTidbQTk4Vcq1bo24w070OuTqSg/J4rRQWvbJ4RCXvTJmaSWTh/0ce7eFmp3PE+gr2dI+9m3fYLi9aPJzcQ4rWaI0UKgqR1/XROSWkXOuUOrhhwOc1kmxvwUQgGZwx+LtqQni1OuLaFgagoup8J//sI+ZqrWiko0PPx0GskpEq27bTz9na0E/aOb8FSpJS779TR0RjX23a20vrIt5nuaClIpvnE+APbn3yRsH1vt1ySdlsxvXouk1+FtqDveeksQhOGT1Gpyr7oJXWY2QY+dug8eJhz0xzssYYzqPbyZ3vffxF13KN6hDJo+KwcQFYbRFOoZgFAYSatFk5wa73C+VNjnw7FrK62P3U/zg3/FsWfHmDmXBQi5nHS88SwA1mXzST7/9PgGJIxLiqJge+Fd7K9EzrtLbl5A2TcWD/pBaEEQBOHkJRKGJzHv3loAkibmobUa4hzNp45XGHYl9qymYxWGki56LT+tE6dSmL0Ajd44onUUZfSqN461PA0pw2sP6Az20eTZDUBN1cVoNNH7WZTlEC2t6wDInXYGkmrwL3ldu1fj2L6ZvtXvD/oYRVGwbVoLQPK5i4a03zHujTsByDi1An36yCpNB0OSJDIWRVosvvnbfWx7tWVMzLUTRkallrjkv6ai1cJHK/388TfOMfN9r6rW8tCTaZjMEvWb+nj+RzsIh0a3Yi2t0MS5P54IQPMja/G2xf4Bl4LLZ2EpzyTk9DHw3Dsx3y/atLmZpN14MQB9q9/H29QQ34AEYRxQG43kX38barMFb18bDR89iSKPjapxIbHorWkABG2Jff31WbqjFYYiYRg9x6oLdemZw7qOiaWQy4lt60Zan3yQ+j/8PzpffgZP/WF8rU10vfYcIXtiP2x8jKIodL76LLLDhbYgh9Srlsc7JGGccry9Gse7HwNQfufpFF8/XyQLBUEQhEFJrLNAYVT5D0du1qXOKIpzJJ9nqcgCwF+f4C1xjrZUk1SJ1/u9fdt7bH/0x9QdWRHzvcymyPfLERxaJd4xR9zbAIXMjEmkp1dHMTLo7T1AMOhGa0omrXzGoI8L+dzYmvcAkDp/8aCP83e0ErINIOl1mE6ZPtRwAQi7PQBYyrOGdfxwFFwyE1NJOp6BAK/+v93844YNtB8Qrc3Gu+wKK+f8ZBIAjz7o5p7fjp2qtSnTdNz3SCo6PRz8qItX/9/uUU94zr68kPJTMggFZGrvXRXzJ9tVGjWV3z8LJHBv3IGvtimm+8WCZeFMzAtmgKLQ+crThH2+eIckCGOeNjWNvGtvQdJosLccoPfQpniHJIxBOkukmixks8U3kCE4XmHY0SNaXUdJ2B4Zj6GxJsc5kn/Vt/p9ut94EU/tQZRwGH1yJrkzzyZ3xllkLb8EbUpavEMcFNvmdXhqDyJpNWTceQ2SThvvkIRxyLvrILaXI/MxK+5aSsFls+IckSAIgjCWiIThScx3uBGApMl58Q3knyRPisQTbG5H9g+vam00RPvecNjrxXVgD86OIyNeSw76UeTwsOf1DUVycjEAA4GOIR/b7j1Mp68OgJLiJVGNCyAjYyJly24if855Q0rs9h/ZHrkQzcnHkFcw6ONcB/YCYJxShWrYF39Hf7BG8eE/XZqZWfffQNnti9GZ1LTssnHfVet48zd7cfWK9mbj2byrS7j011OBSNLwtZc8cY5o8ObN1/OXv6eiVsPON9tY82DdqO4vSRIX/Psk1FoVA1sb6V1bG/M9k2pyyDlnMgADT70xJm+Qpl1/Eer0FIID/XS+9BRyMHHf5wVhrDAWFpNz+fUkz12I/sxT4h2OMAbpLCkAhBy2uMYxFNrUdFCrUQJBwgOOeIczLshHH1xUmcxxjuRfWSdOxZRRSN6sc5l46b8x6bKfkDfjLPJmnk1BxjysTZFrKG9TA70fvosSTrxqa393Jz3vvQlAypXnossXcyKF6At29tL34LOgQO75U8m/ePAPTguCIAgCiIThSSs0YCfcZwOVRNKExEoY6rOT0KVbUMIygca2eIdzAtFN7AT7e2h/9lEaP352xGuFg5GqDbU6evMVv0xKcgkA9mA3sjK0CzN/thkJFUWFi7Bao/9z6Kw0kVoylfSKwT9RpygKvYc3A5A0a+6Q9nMdiFQlGmdOGtJxnw/g6K+j3C5EpVFTeMVsZj5yC5mnV6PIsOnZJu45cxUv/WwnrXtsoxqPMHpmXlzI6XdUAPDLn9nZtWPsJHCWnmngv34feQr+o78f5sim3lHdP6PEwqJbygGo+/tHhDyx/7sr/fppqM16Ak1tuD7eGvP9ok1lMpBx+9Wg0eA+vJ+2xx8g7B07iWpBSFTWiVPJPv8yJLUaZ7FoOSYMjc4cqTAM2m1jZhacpFajS8sAINgh5nBHg+yKvB+rTaY4RwLeliZ63n8LRZaxNilkqyuYcNH3yJ1+BsbUnC9srWg+4qfj5afoX/MBLY/8H8GB/jhE/sXkUIiOF5+EUAjDlCqsZyyId0jCOCR7/fT87QnCbj9Jk/Ko+NbSeIckCIIgjEEiYXiS8h9tZWYpy0Rjit4MvmiQJImkCZEWM/4jzXGOZjCic1NG9kcquVSakX8/5FDkprVGHfvvrdGYjlZrRiaMfYhtSfPz5jF71p2Ul50Vo+iGztvXhre/HUmjIWnKzEEfF+jrIdDdCSoVxmkjaK2qjH6F4WfpM6xM/PfzmfrHy7HW5BAOyux8s437r1nPA9etZ9fbbYSCY6+qSTixpd+sYsLSbAJ+uOu2Abo6E++p7C9z2VUmLrvKiCzDiz/eibNndNtcLrq1nLRCE4FeF42Pb4j5frpUEyU3RW4yOV55h7DLHfM9o81QVUL2v30dyWjA29xAy8P/S8gh2iALQrQo4TB1e17B1SVmhQqDozNHHr5RAn7kMdQuWpcRaeEf7BjeaATh8+Sj5xRqY3wrDP2dbbQ9+SAD61bhfXftoI9TaXQUzjgPld6Ar6WR5of+hhxIjAfh+la+Q6CrA5XVTMYtV4hZckLUKbJM7z+eJ9jejS7dwqS7L0SlTbzxOYIgCELiEwnDk5T/aDvS5Mn58Q3kS1gnRIbYBxJ5jmGUH7491pYtGgnDcDCSfFRrYl9hKEkSqSmlJFkLB1VhGFaCBGUfgZpIq0+rNT/qrVNlOcSWbX+nfcf7x/8uBqv3cGT2j2XCFNRDaMfjOrgPAENNGWrzCJ7KPZowlOKVMTwqdWYxM//3Omb877VknTEBtUaiZZeNF3+ykz+duYpVfz9Mf6uoChovVCqJy383nawKCz3dMt/+xgB+39ioMAD49/9KprJag6vPzws/3kE4NHpJba1Bzfm/iFQVd7y2HdeR2Fc55F04DXNpBiGHD9sL78Z8v1gwVJeR8/PbUadYCXR30vzQ3wj0igoRQYiG/nWrsG9eT+2Hj+C1dcU7HGEMUGl0qPWR89eQYyDO0QyeSBhGV9jtBeJbYRjo7ab18QeQfV7MWSVkVM8b0vFpZTOYeNEP0ZqSCTsduA7uiVGkg+c5cpiBDasBSP/6ZahTrPENSBiX7G+uwrt9P5JWzaT/vBBdWuK1FhYEQRDGBpEwPEkdqzBMmpRY7UiPSaqJJAwTu8IwupVgx55+VGtHnuSTjyUMR6HCEGDSxGuYPetO0vUnTkArisIe+0dsdL6B2xO7C/vevoM4na30HtyISq0Z0rFaUzJqi5WkGUNrR+o+eHR+4cyJQzruXxxvSTqyZaIlqSaXCT9dztxnbqf4pgXo0s24ev2s+nst/33ORzxw3Xo2PtWAs3fsPI0ufDG9WcP1984hOUVi984gv/ypfcy0JTMaJf56fyoms0TDln4+ui/28wQ/q+rULCadlYMcVqj960oUObZ/byqNmsrvngGA6+Otx2cSjzW6wlyyf3EnmuwMQrYBmh+9F19bIr/vC8LYkDp/EYb8ImSvh9oVDxJw2+IdkjAGlC29kaI7vo82LTPeoQyaLvNYwlA8cBINn7YkjU+iITjQT+tj9xN2uzCm51Nx1q3DujbWW9PIqI5cyzl2xLd9e9jjpvPVyMgRy+nzMM0Y4bWiIHwBz4792F9dCUDVd884fj9NEARBEIZDJAxPQrLPT6ClHUjgCsOqHFBJhAcchPoTu01ZtCrBlED0WpIerzAchRmGwKBbqtS7t9Hpq8Pr6ycQcMUsnvb2LQCkV85FUg2tDYflojMp++EvMZVVDvqYkMuJtznS9mvkF4FHEw2qBMkYHqVLM1Nyw3zmPXUbE36+nJQZRUgqaNll4+3f7+ePSz/kkVs/YevLzXjtwXiHKwxTWqGJS/88F7UaXn/Fy6P/GDvtLsvKNcfnGa55sI7a9aNbbXDeTyahM6lx7O+gc0Xsn2ZPnpxPzrlTAOh/4lWU0NhpI/tZ2sw0cn5xB7qSfGSnm5bH/o677lC8wxKEMU2l05N//a1oM7IIum3UrniQkF90BRBOLCmvEkNeISqtNt6hDJr2aIVhSFQYRsWxhKHKOPoVhiGng9bH7yPksGFIyaby7G+g0RuHvV56xWwAPPWHCdptUYpy6LrfepmQw44mJ5PUa86LWxzC+BVs76b/H88BkH/xDHLOmRzniARBEISxTiQMT0L++haQFfTZSegzE7MdhtqoxVwaGWKfsFWG0W5JGoheS1JzVjHW3Ar0OsuI1xoKV1kKAfmLK806fUeodW0GoLryIlJTSmMSg9fbT/9ApLro2JOlQyWp1Uiqwb88ug/vB0VBV5KPJj1lWHse8+kIw8RKGB6j0qrJWjqBafdcwSnP3UH5t5ZgnZCLIkP9J328dvcefr/4A564czPbX2sRycMxqHxeBuf8OJL4/tNvnaxdM7S2vvF0/kVGrr7ehKLAGz/bir3TO2p7J2UbWHZXFQAtD68maI/9zfmyW09Dm2wk2NqF4/11Md8vVtRJFrJ/8g0MkypQ/AHann4Ix65t8Q5LEMY0tdlCwY3fQG1Nwmfrou79h4/PuBaE8eJYS9KwzYnsEd0uRurTCsPRTRgq4TCtTzxAsL8PnTWNynNuR2sc2XWsPikDS3YZKAqe+sNRinRovC2NOPfuBEki446rUOlHp/uPcPKQ3V66//oEYU+A5KkFlN2xON4hCYIgCOOASBiehI7PL0zQdqTHJB2bY3gkgecYAkRpYPnxhKF25BcSxQsvp+r/s3fW4XFV6R//3HvHZzJx17p7aUuR4oXiVty6QFlscZZdZPnB7gLLCrq4u1uLV6i7S9qmSRr3Scb1/v6YJMACbZLx9H6eJ0+Sdu45b5KZO+ec7/t+31m/x2SKnhXFztKPWbr8byxofImlze+woe1LSq0rqHbsoMqxnY2WrwEoyJ9OXt4hEYujti5YXWjOH4o2Kb3H13ns7dS7dyIHet/7zNZlRxoWi5mgYuh3x7/QpkkzUnDmRCY+cSFTXvsdJXMOx1iSgd8ns2tJEx/dvZm/z/iWZy5Yxpf/2M62b+uwNSeO+HQwM+3CEiadVUggALdc10bpjvh/PnZx171mRo5W0dYa4L07NxKIsD3oT5l2YQk5Q5NwtnvZ+8KSiM+nTtYz8OojAej47Nu4r8jfH6JeS9ZNl2OYMhb8fuo/fJOWxd8ljC2ugkI8ok5Jo+DSuYg6PfbGCsoXvxXrkBTiGKelgdalCxMqYUPS6ZGSzIBiSxoqsizj7xIM9dG1JBUkifQZx6NJSmPoSdegMSaHZdyCaadR8oe7SO5lq4lw0fzdfACMh09CW1IQkxgU+jctL32Ar6EZbVYSI+89FVHVO3clBQUFBQWFX0MRDA9CXDvKAEgeE9+L1i67VOe26Pai6jGdFWiy3xeW4YyDh5J16jmkD4mcmBZJ0tOHo9EEK1ZtvlYa3OWU2zewtWMh2zoWAZCaMpDBg06KWAyyHKC+YSMAGcOm9epaS+UWat54nrr3Xu31vK6aoKitH9VzG9PfQlMQFHmr3lmNbW/i2Cvp81IovnAqk1+4jMkvXk7J5dMxDsgg4JOp3mJh2avlvH3zeh466jv+eeIC3rtzAyvfqqBmWzt+b+9FWoXIIggCp949iuKJqVg7ZK66tJXamsSwvNTqBP7zdCoGg0DlulY2fFIdtbkllchp9wRtgBq+3oq9vDnic2afMArzqDwCLh/tn3wX8fkiiaBWkXHN+ZhPCoqgLd/Pp3HeR31K5FBQUAiizc4l/6LfIRmMGI+cHutwFOIYR1MVzd98TsfG2PZ86y2a9GDPRW9DS4wjSXBkGfzBtV4sbGmTRo9n1Nl39irh80AYMwq7nx/RxrF3N87yPaCSSDnjuJjEoNC/ce2qwLFuG4gCo/5yOpqU6FsJKygoKCj0T1SxDkAhusg+X7fFZ8qEwhhHs3/SDikBUcBbVYevxRKy1WO4EbUaAj5fd2VgqOjyi9DlF5FUmZjVFJkZI8hIH47L1YbD2YzD0YzT2YzD0YLD2czwYWdi0Gcg9rKnYG9o76jC7W5HVGtJLuxdtV971U4AdPnFvbrO73Lht3YAoM4NfUNqPvEInNt24d6xl233fsKEJy9KuMW/sTgdY/GhFF98KK76dtq31dK+pYaObTU4Kpppq3bSVu1k87xgL1W1TiR/dApF41IpnphK0fg09MmJ0z+nv6LSSFz8xCE8f9lyGvfYuOqSVt78KJ2UlPjPNSoqUXH9LSYeedDKwn9vYcQx2RhSomMDVTQhjVEn5LDtm3r2vriEMQ+eGdH5BEFg4NwZbLzxbWxL12I+8QjUeVkRnTOSCKJI6nmzkNKSaXvrC9pXL8Nvt5Fz1oUJ1VdLQSGe0BcPZMDNdyNqtVghYdeaCpFF1WkB6bdbYxxJ71CnZ+CsKMPXEPkknX7NT1xzolndLwcCCKIYvC9J4T+eSqqUsRZHt9WDLMs0L/gqOP+MKXF3jqGQ+MiyjOWD4HMs96QxJA3NjnFECgoKCgr9CUUwPMjw1jSCz49k1KLPT411OPtFnWzAPCKXjm21ODftJOmY3lWMRRpBqwY7yN746wez8fW7AZlpk25CqzVHbV5BENDr09Dr00hPGxq1ebtQq3SkD52CpNIiqnp+sBzwebE27AHAOGR4r+b0tgarAEWzCdGo79W1v4agksi87iLq/+9pXPUtbPvLZ4x75BxETWLernU5yehyksk+dgQAPpubjtI6OrbX0bG9FuuOOrw2NxVrW6lY2wovBq/LGmyiaEIaxRNSKZ6YRmq+HiFM9r8KPUefrOayZ6bw7EXLKdvj4to5rbz0Vjo6Xfz/LS65wsjH7zvZXerjy3/s4Oy/jova3MffOIwd3zfQunIvls3VpIyNbEV/8sg80qcPomV5GZaPviHz+osjOl80MB9/GFJyEs3PvYtt2yZq7DbyLpiDpA/9PqugcDAiarXdX7cYm/CvKSVr5OExjEgh3lDrgoKhz26LcSS9Q5MW7Hvva1QqDENBEISgaCjLPzZVjzCe1hZqXnuG1MOOxpQ5LSJr/Y6aXdQuXYo2N5+MY04M+/i/hqNsF6595QhqFeZTjo7KnAoHF66tu3HvqkBQSxRfHF/nZAoKCgoKiU/8lwkohBVPZQ0ASUOyEuLwPX3aQACcG3fEOJJfInQ2LQ9XhaG3rRVH2S6cloaQx/J7XPg9LiD+/8bhxGjMpuSI8yg89IxeXWetL0P2elGZk9Fk967vo6c52C9FnZPRq+v2h2QyknXTZUgGDR1ba9j9WP/p46UyaUmbVELJJYcy9u9nM/2j65j84uUMvfUEck4cjb4gmMjQuMfG2vf38eGfNvGvExfyyLHf886t61nxRjm129vx+xSLwmiRnKPnsmenYDYLrF/r5bYb2vD74//5qFYLPPBwMoIAGz6tZs+K6FUeZJSYmHxOsIp/73M/ROX1O2DO4SCAY+1W3HvjvPdvDzFOGUvWLVcg6LQ4K8qoeulJvB2WWIeloJDQ+Ow2ql54gqoVH9OwdXGsw1GII1T6YGsBv92WUFbQ6k7BULEkDQNicO8oy9H5+7cu+Q5vawuuDVsjdjbhc9mxl27Dvmt7RMb/X2RZpuX7LwEwHTMNVWr0kncVDg7kQADLB18DkH/6eLSZSTGOSKG/426yUvnGSto27It1KAoKClFCEQwPMjyVQQtA05DEsCtLnzYIANeOPQTc8VXJJ+qCmdoBjzss43VsWkf1q8/QuPWHkMYJbvCDh9ORtP+MR9oHaQ/8oF+7riooSBuHjOj1ZtXTHKwwVOeEtz+GOi+L9GsuAlGg/uttVH+wLqzjxwuCKGAsTif3pDEMu20mU16Zw6Hv/55R959GwbmTSBqei6gSsDa62fp1HfMe2s7Ts5fy1+nf8PJVq1jw9C52LW3E3hZf94f+RvbgJM59fCoaLXz3tZsH7+1ICBF7/EQNF14WtPT99P4teJzR68N49O+HoNFLWHfW0bwk8r14jSUZZB8/CqD7EKE/oB85mJy75iIlJ+FpqKPq+SfwtCROf1cFhXhDZTSRMu0IAKpXfUbTjuUxjkghXlDpjMEvAgECLmdsg+kFXT3qlArDMNC1D4rCGs9raaVjwxoAcscfH7F5TNklALjra8O2b98f9l07cNXsQ9CoSZ41I+LzKRx8ONZuxVNZg6RXU3TBlFiHo9BPCXj9NP2wiy1/+ohVFz1HxSvLcH+9LNZhKSgoRAlFMDzI6KowNA1ODI9zQ0k62mwzstePa/ueWIfzMwRN0PJSDlOFYXcxYIgbtJ9mhArCwfMSb2jcjL1pX69FDFmWfxQMh47o9bzezoNrVRgrDLvQjx1G6gWnALD3ucW0rNwb9jniEU2qgYzDhjBo7lFMfPJCpn9yA+P+OZuSKw4j9ZASJIMGj8NP2YpmFjy9m9euWcPfj/iWR2cu4O1b1rHkpTLKVjXjsnpj/aPg9wZwWb34vImTqf9bDJiczll/n4ggwNuvO3j2KXusQ+oRN9+RRE6uSFu1g4X/3RW1eZMydBx2WbBKvvzFpQR8kRcrSy49FEEt4dq+B+e2yIuU0UJTnEf23b9HlZ2Br72NqpeewtMUejW+gsLBStqM40k94hgA9i3/kJbda2IckUI8IEoqJE3Q9tlnS5w+huq0dAACNgd+uyPG0SQ2gti5dwxEXjBsXbIAAgGS8oZ0i3qRQGNKRW1MhkAAV3Vkq2NkWaalq3fhcdORkpXKL4XwIvv9WD76FoCCcyajTjbEOCKF/oa9soWyZxax8oJn2f5/n9O6uhw5ACWT0xhzYl6sw1NQUIgSidkUS6FPyIEAnn11QNCSNBEQBIH0aQOp/XQjzk07MUwYGeuQuhG7LEnD1sMwPDYscuDHQ+mDRTAMBHyU7voU33YnQ2ddS1LuoB5f6+5oxmNtAUnCMHBIr+futiTNDW+FYRdJx03HW9OAbdFqdvxtHhMeuwDjgPCLk/GMpFOTMq6QlHFBi0fZH8Be0Uz71ho6ttVi3dWAs7oNS40TS42Tbd/Ud19rTNOQVmggrcBAWqGRtCID6YUGzDl6tEYVGoOEpNr/68TvC+B1+nHbfTgsXuytbmwtbuytHmytnuDXLW5cNh8euw+3w4fb7sdj9+Hz/CgUSmoRrVFCY1B1z21I1pAz3Ez+qGTyRyVjztbFtV306BNysf5xJPP+vp3/PGIlK1vkrHPje6NqMonc+2Ay1/6ujeWv7mXMSXnkjUiOytyHXzGQ1e9VYq9po37+FvJOGx/R+XQ5yeSdOo6aj9bT9s58dPff8OPhX4Kjzkwj58/X0PDI83irG6h6+WkKLv892qycWIemoJBwCIJAxnEnI3u9WFYuoWLJuwiSirSBE2IdmkKMUelN+D1O/DYrJMj9VdRokZLM+K0d+BpbkQbE97okrhG6LEkjKxh62y10rF8FRLa6sAtTVglt5ZtwVlX0ab/XU+w7t+Kuq0bQaTCfdGTE5lE4eLEvW4+vvgmVWUfBOZNiHY5CP0GWZdrWVlL9wVra1lV2/3tSppYJpxcw6axC0ouMuGxePrlvSwwjVVBQiBaKYHgQ4a1rQvZ4EXVq9PmpsQ6nx6RP7RQMN+5EluW4OUwPdw/DLmRC3KAdhBWGrW1l+HxOVPokTNkDenWt1pxO0TW34GmsQ9TqenWtLMvd1njq7MiIeIIgkHbx6Xjrm3Hv3MuWuz9myB+OI+2Qkrh5LUQbQRIxDcrCNCiL/NODh5s+mwvr7kasu+qxljZg21WPq74De6sHe6uHqk2W3xxPpRXRGIICntYQfFt0O3x4HH48Dh8+d3iqA/3eAA5LAIfl55WPpT80dn9tSteSPyqZvJHJFE1IZeCUdCR1fL2OD71oAB2Nbpa8WMY9d7STXyAx9dC+2QFHi2OO13HiyTq+mufik/u2MPet6QcUisOB1qji6GuG8MXftlHx+gqyjx+JpNdEdM7ii6bS8M02vFV12BatJumYaRGdL5pIZhPZd1xFwz9ewFtVT9WrT1F46e/RZivZrgoKvUUQBDJPOgPZ66V93UrKF7+FSmvEnD801qEpxJCSIy/AmS+hyUiM5NIuNGkZOK0d+Bqa0Q4oiHU4iYvYZUkaWWeMtqULkP1+TDmDepXo2VdM2QOCguG+8ojNIQcCNHdVFx5/GFKSMWJzKRycyB4vlk++A6DogqmojPG9/1KIfwIeHw3f76D6w3U4KoK23oIIw2ZkM/nsQoYcnhmVPbOCgkL8oQiGBxHd/QsHZSJIiXPTTxlfiKhT47d04N1Xi6Y4P9YhASDogoe+cph6IYRL+wn2MOwaM3H+zqHQ2LgZgNQBY3tdTSMIIrq8AnR5vT9c8Fnbg5a0oogqK63X1/cUQSWRef1F1D/wNO6GFrb+6SOShuWQc+Jo0g8diDZDsbtRmXSkTigidUJR97/5bG6cdRZcde04ay04ayy46iw4ay14WuzI/uBrxecO4HN7cLQdYBJRQG3WoUkxok41oEkx/OyzyqhFMmiQDBpUek3315JWhd/tw+/04Hd68Ts8wQ+nB3eLHduehmCVZEUzthY3pT80douIxjQNY07MZeRxORRPTIubBfvxfxhGe52TzfNrueU6Cx98kUFuXnz3TP3z/WaWL3FTu72dlW9WdNuFRprJ5xax/PVyWqscVL23lpLLpkd0PnWygZLLprPnqYV0fPwVhiljkUz9p9pCMpvIvvMqGv/xIp7KWqpefTooGubEx9pAQSGREASBrFPPIeDz4W1tJjChCBoPfJ1C/8WUVYycl3gJaeq0DJyVe/E2KH0MQ0EQhGDqagQrDP0OO+3rVgKQO+G4iM3zU4xZJQC4qiqRA4GIuC/Ytm/G01CHoNdinnlE2MdXULAuWoW/tR1Nhom808bFOhyFBCbg8VH98Xqq31+H1xK08tYYJCafXcS0i0pIK+g/e0cFBYW+oQiGBxHe6qBNn2lwYmWMihoVqROLaFlehnPL7rgRDEVtMKMrbBWGXeJeqBmdgoAxswi1VyJcNqfxjCwHaG7ZCUDqgPFRndvX0Q6AlJKEoIrs7VQyGcm5+1o65i3Gtmg51tJ6rKX17H4MkoZmkz59EKmTSzANzETUKLd2AJVJS9KQbJKG/HrP1oDX/6OI9xMxDwgKfXo1kl6DpFMj6dUIaqnPVZ2iRoU6af8VrH63F3tZE9ZdDVhL62ldU4G91cHKtypZ+VYlerOaYTOyGHFMNkMOy0RjiN3fWRQFzrh/LI1lNupLO/j9nFbe+CAdkyk+BM1fIzNL4vY/m7nnznaWPbuTSWcVoktSR3xelVrkhJuG886t66n/aA35Z05AbdZHdM6808ZTN28L9opmOuYvJnX2SRGdL9pIJiNZd1xJ46Mv4Smvpur1Zyi89Fq02bmxDk1BIeEQRJGcM85D9vkQtVqsxZBUGfn+ZQoK4USdFnT68DUqgmFISMHkL9nni9wUBiMFV1yLZ+VmknIjZw/6UwzpeaiNKYjJSfgddlSm8CZbyoEALQu/BsB8wuH9KlFLIX6wLVkHQPFF05C0kd/DKPRP2rfWUPro1zirg9nS5mwd0y8uYdLZRejNyvNKQUEhiHKqfBDha2gGwFCQOHakXaSMLaRleRnu3RWxDqUbQd8pGLpd4RlPHXw5BkLcoKm0Boaf9geSy8JT+Rjv2OwN+HxORLUWU1Zxr651W1upqliErqWQ5IlTej231GlhGnCG5zlwwPmSjKSePwvzrCOx/bAW58btuMv2BQWmXQ1UvLIcQS1hGpBB0vAckoYFPwyFaQlVVRwtRLWEqNZHXLzpKZJWjXlkHuaRQXvFgM9P27pKmpfspmVFGc52Jxs/r2Hj5zXoklRMmV3MoZeUkJTROyvdcKHRS1z0xCSevWA5O7e7uflaC/99KRWVKn4TFc4+T8+rL9jZs9vHyrcqOGpudA6qRp2QQ87QJOp3Wan5eD0llx0W0fkESWTAlYez9e5PsH2/LHh4ldK/KpElo4Hs26+k4R8vdIqG/6Xo8usTzkZPQSEeECQJQfqxSryyahEpZJNcOCJ2QSnEBHvTPlqrytBk5mAaFj+94w+EOi0dAF9Ta4wjSWykJCMBqx2/3RbRefSFJWQFerdvCwVBlBh7/j1YiyOzRrVt34ynqQHRoMN8wuERmUPh4CbgdOOtCRYApB8aeRtfhf6H3+2l4uVl1Hy4DlkGU4aWE24axriT8+OuBYqCgkLsiWvB0Gq18s0337Bw4ULWr1/P7t27sVgs6PV68vLymDJlChdeeCEzZ848aHt59QZvZ8alLi8ltoH0geQxwapC9+6KiNmI9BZRHzyk97vCIxbpiwaSccKppPDr1VC9pX2Q9qAQDS2WvUCwN4Ug9s4S0dFcTfvqZbjy+iYYqszJAMhONwGXG1EXnT4CktlE8ilHkXzKUfjbrTg37cSxYQfuXRUE7I5uARE2BR+vV2MoycBQkIq+MC34uSAVQ0GqUo0Yx4gqifSpA0mfOhDZH6B9ey0ty/bQvHQ3rvoOfnixjOWvlzP+9AIOv3wgGcXR75WSmmfg4icn88oVy1iyyM0D93Twl7+Z4/Y9WRQF5t5g4vYbLSx7rZxDLx6A1hj514AgCBw1dwjv3Lqehk/WUnD2ZFSmyN4v0qYOJGl4LtaddbR/sZC0i0+L6HyxQDToyLp1Dg2PPI93Xx1VLz9N0ZU3oE5Nj3VoCgcJ/XGvYtu5leZvPqdFkhh49KWkFI+OdUgKUcRau4fmtfMwjz8ksQTD1GBrAEUwDA0x2QS1jfjs1ojO09+qmNuWLQIg6YTDEY3xkYio0L/wVFRDQEablYQ2wxTrcBQSjPbttZQ+8lV3VeHEMwo46Y6RSkWhgoLCbxK3J8X/+te/+POf/4zrV8QYq9VKaWkppaWlvP766xxxxBG88cYbFBUV/cpICgCyLOPr7Omgz0+JbTB9wDQ4C1GnJuBw4a1pRFOYE+uQEA2d1WVuZ1jG6+qj1982UJGmvX0fAEk5vc+0c7YF+3r21cZO1OoQtVoCbjf+tg7E3Mw+jRMKUnISpiMPwXTkIcHXeVMrnvJq3Hur8JRX46msxe/0YN1Rh3VH3c8vFkCXbUafn4qhMA19YSqGgjQMRWloMkwJc7h5MCBIIiljCkgZU8DAq2fQsqKMqndX07G9jrXv72PdB/sYeXwOR1wxiIIxKVGNrWBMCmc/Mom3/rCOd990UFQs8btr4ncjO+tUHU/9R6Jir5fV71ZyxJzoZOmOPD6HrEEmGsts1HyygeKLp0V0PkEQGDDnMDbf8QG2xaswn3QkqvSUiM4ZCyRTZ6Xhw8/hrW6g+rXnKPzd9WG3G1NQ+F/6617FOGQEplHjsG3bRNmCVxl41MWkDlB6JR0sSJqu/U103DPChaYzUcTf1oHs8SJolEPQviAlBddvfltkKgwb532ELMtoio9Ea86IyBzRxt1Yj6tmH0giScdEdm2ncPDi3hM88zCPUOz3FXqO3+2l4pXl1Hy4FjkASVlazvjLWIYdqTiyKCgo7J+4FQx37drVvQHPz8/nuOOOY9KkSWRlZeFyuVi5ciVvvPEGNpuNJUuWcNRRR7Fy5UqyspQb36/hb7cie7wgCuiyk2MdTq8RJBHzyFws6/fh3lUeH4JhZ4VhIEwVhuFk24eP4HVamTL+WvT6tFiHE1FGjphN2qHHoDaYe32tszVo6xFK3ytVUjIedyO+tnbUMRAMf4ogCKiz0lFnpWOcGjzckwMBvLWNwY/6Jnz1zXjrm/HWNSE7XbjqO3DVd9C2rvJnY4k6NYaCoJBoKE4Lfi5KR5+folQlxhhBFMg4bDDp0wfRvrWGqnfW0LpqL9u+qWfbN/UMOzKLU+4eRWpe9PqnjDgmh5PuGMn8h7fzj79ZyS+QOPGU+MywliSBudeZuOvWdpa+spcp5xejjUI/SFEUmHH1YN6/cyPVH64j/6yJqAyaiM6ZMqGI5HGFtG+qov3T70mfc3ZE54sVUpKRrFt/R/2DT+NtaaLmjecpvOJaRG1s7HoVDg76615FkCRyz7mYepUK66Z17F34OiV+H+mDJ8U6NIUo0CUYhstBJVqIBmN3Ep+vuQ11Xny/zuIVKTkoGEaiwtDvctK+biWyz0duzmSi48vyIy171lHzybcYBg4h+9RzwjZux4bVAOjHDkcyx2/CnEJi4y7rFAw7W1coKByIjp11lD7yFY59wcr7CacXMOuOkeiTlYQaBQWFAxO3p76CIHDCCSdw2223ceyxxyL+jwXlZZddxh//+EdmzpxJaWkp5eXl/PGPf+Sll16KUcTxja8x+Cahy0pCVPfOtjFeSB5TgGX9Ply7K0g69tBYhxN2wdDvcgV7HzQLGDMKQxrL57Ljdzvw+z1hiS2esQ4xYKRvGfvOtmDFnSYUwdCcgqe5EX9be5/HiCSCKKIpyEFT8HORXZZlAlY73romvPXN+OqbOr9uwtfUSsDlxbanEduexp8PKAroc5MxFKVhHJCJaVAmxoGZ6PNSlD6JUUYQhO6qQ3t5M1XvraFp4Q5Kf2ik/PQWjv/DMKZeUIIoRadSdPolA2irdrDizQruuNlCVo7ExMmRFcT6yqln6nnmCRuVFR6Wv1bO0ddEp5fhmBPzWPD0bloq7dR+vpGi83pvhdwbBEFgwBWHsfGmd7AtXYv55Bmos/tHRv//oko1k33776j/6zO4a6upffsV8i6+ElEVt0tdhQSnP+9VBEki58wLECSJjvWrqfjhbeSAj4yhU2MdmkKEkdThdVCJFoIgoE5Nx11fi6+pVREM+4hkDlbnR6KHoX3nVmSfD11KNoYQ97p9QpbxtjThMYcveVr2++nYtA4A0xFKUoVCZJBl+UfBUKkwVDgAsixT++lG9j6zkIBPJilTy+n3jWH4UeFpfaSgoHBwELenKH/9619JS9t/ZVRxcTHvvvsu48ePB+Ddd9/lySefxGCIXlVFouBraAYSs39hF8mjO/sY7qpAluWY2yWG25LUXVtF9Sv/RZeSzaiz7whpLFEKZg0FAt5whNYv8XvduK1Bm96QKgw7N53+to6wxBUtBEFAMpuQzCZ0wwb87P9knx9fUyveusagiFjXFKxQrGtEdrpx1lhw1lhoWbG3+xpRq8JYkoFxYCamwZkkDcvFNCgzYRMUEg3jgAyG33kSRRdMYde/v6V9Sw3zHtrOpvm1nHn/WLKHRMee8aQ7RtJW62Tnwgauu7KND75IJ78g/pYaKpXAjbclcev1Fla+spsps4swpkU+112UglWGH/15E9XvryX/tAlI+shmeSaPzidtygBaV5fT/sl3ZMw9P6LzxRJ1TiZZN19Ow8PP49i7i4aP3iLnnIvjou+xQv+jv+9VBFEk+7TZCJKK9jXLqVz6PsaMIvRpymFlf+ZHS9LE64PeJRh6m1qJT4+D+Ec0B/thR8KS1FG+B4CUolEx2cdrTKkA+NrbwjamffdO/DYrotmEfuzwsI2roPBTfE2tBKx2BLWEabCSDKHw2/idXnb951sav98BwOiZuZx272gMyfGZxKugoBC/xN8pXicH2oB3MW7cOIYNG0ZpaSkOh4M9e/YwduzYCEeXeHgbO/sX5qXGOJK+Yx6eiyCJ+Fvb8bdYUGXE9mcR9OG17BFUnSKfP3SRT+isqPD3c8Fw1+4vcNUFyBp1BPrU3tnUuiwNIMtIRlNIva4SVTDcH4JKQp2b+QuLVVmW8bdbg+JhTQPeqno81fV4q+sJuL1YS+uxltb/OI5aImlIFknDczGPCH5os80xF/v7M4aidMb98zzq5m9m3wuLqN5s4alzl3DklYOYcdVg1NrICriiJDD74fG8cPkKard3cMPVbbz5YQZ6ffz9zU86RceLz6jYvtXH4hfKmHXHyKjMO25WHgv/u4u2aid18zZTcE7kM9JLLj+M1tXl2FduxHzK0Wjy+2+GqXZgIZk3XELjv1/BunUjktFE5qwzlfuOQtg5GPYqgiiSdcrZCJKEypyCb0IeKL22+zWSJii1BVyJVWEIQcEQwNe571XoPV2Wmj5b+C1JnRVlAJhyBoZ97J7wo2BoQQ4EwpJM1GVHajx0PIJKSZJUiAxd/QtNg7OU1iAKv4mjuo3tf/kMe0UzoiRw4m0jOPTiEmUPpKCg0Cf6xbuN2fxj7zKnM/E2N9Ggy5JUn5d4/Qu7kPRqTEOysO6sx7WrAlOMBcMfKwxdYal4FNSdgqEvdJGvu8LQ7wt5rHhFlgM0NGzEW+Mgfcghvb7e1d4EgCYrtEz5LsHQ1xqflqThRBAEVClmVClm9CMHd/+7HAjga2zBU1WPd18d7soaPGVVBOwOOrbX0bG9jprOx2rSjaSMLyJlfCFph5SgzYhO5dvBhCAK5J0yjvRpA9n9+Pe0LC9j0TN72Pp1HWf/dRyFYyN779QYVFz42GReOn8R27f6uOdOC/94LCXuNiuiKHDznWauuqSVNe+Uc+jFJVHp+yipRWZcOZhP/rKFqvfWkHvqWCRtZKsMk4Zmk3H4EJqX7qb9o2/IvOGSiM4Xa/Sjh5Bx1Wyan30Hy6qlSMYk0o86PtZhKRzEJPJeRRAEMk86o/sebi0WMOx2Iqq1cXdfVwgdUR2stg+4E6uHIYA6rVMwbGqNcSSJi5QcGUtSb3sb3rZWEARM2QMOfEEE0BiTQRCR/X78Nmv3Hq6v+Ow2bLu2AWA6YnI4QgwL8eDEpBBePIodqcIBaF6+hz2PzMNt82HK0HL+PydSMqlniW0KCgoKv0bCC4Yej4ddu3Z1f19cXBzDaOIXX3eFYUpsAwmR5DH5WHfW4965F9P0CTGNpauHIYEAsseDoA3Nzk7sFAzlMFQYiqr+b0nqcDTh9TkQVRqMmb3vg5E+eBLSoSPwh5hBrTKnAOCtrkf2+xGkgy+7VBBF1DmZqHMy4ZAxQHCz6mtowb23Ck/ZPtx7q/Duq8XTYqfx+x3dNhmmQZmkTR1I+rSBJA3LUfoghhFtRhKj7j+d5iW72fPkAprL7Tx/6Qpm3jyc6ZcOiOhhQkqunjP/OYVXr1zJF5+4KCyy8Yfb4k8cPvxIDVOna1i13MOSF8s47Z4xUZl3/OkFLHx2D+11dhq+2U7eqeMiPmfJ5dNpXrYbx7pteKrq0BT270MH47Rx+K022t78nJYFX6IyJ5M8MbI9IxUUfo3+sFf56fuF3+Vix/f/xWTKo/iwcxDEg2/d059RG8zkX3YNolabcMKDOjV4ONqVKKvQe6SkTktSuzVsVXgAzspyAAzpBd22t9FGECU0hmQ89ja87W0hC4bWLRvAH0AzoOAXveKjRcDtwbOvFk9FDZ7yajwVNXjrm5FSklBlpaPOSkeVnR78OjsdVXYGolaxJkw0PJXB1FtFMFT4NVpWlrH9vk+RZSiemMr5/5xIUmZs7rMKCgr9h4QXDN966y3a24OVPRMnTiQnJzaLtXjHbwnaJWoz4+/AtjekTCim+v11OLftjnUoCFoNgkaN7PHis1vRhCoY6oIWQH6PO+QNWpedkNeXeNnBPcVmC1pf6tNy+3xYJRmMSAZjSHHoSwYiJhnxNbViXbAS8/GHhTRef0EQBNQ5GahzMqBT3A94vHjK9uHaXoZz22485VXYypqwlTWx761VaNKMZBwxhMwjh5I8Ol8RD8OAIAhkHjmUlAlF7P73tzT9sIsv/7GDvatbOPuv4zCkRO7QYMDkdE7+8xg+vX8L/33chjlZ4IqrTBGbry8IgsDvbzCxankr2+ZVceKtI9AYIr80UqlFDrt0APMf3k7NpxvIPWVsxA9ljSUZZB4xlKYfdtE+bxGZ11wQ0fniAfPxh+Fvt9HxxUIaPn8PdVo6hpJBsQ5L4SCjv+1VnJVluOtqcMvV+Fx2Bh59SXeimkLiI0oqchiCtSBxhMIuui1Jm1oTTuyMF6S0ZFBJyD4fvva27t9pyMgB1OmZfUryDCcqvRGPvQ2/0xHyWNYtG4CgHWk08VTWYP1+Je69+/DWNkLglzbR/tZ2/K3tuHfu/dm/C2qJ5DNPwHziEUp/50Si816m7I0V/hd7eTO7/vY5sgzjT8vnzPvHIqmV54lC/+Czzz7j9ddfZ82aNdTX12M2mxk8eDBnnnkmc+fO/ZmDSyLMuXDhQo499lhkOfi+XVxcTEVFRZgiDz8JLRg2NTVx5513dn9/9913xzCa+EUOBPB3BG1FNGmhiSOxJmVMAYgC/hYLvrZ2VKmxs1gVBAEpxYyvsQW/tQPSMkIaT+oUDEHG73Wh0vbdGk+fko3PZUcl9d8MQrujEQB9SmwP3iSdnoyjTqLx8w9o//hbjNPGd2fnKvwcUaNGN2IQuhGDSDn7BPwdNpxbSnFuKsW5ZReeVju1n26k9tONingYZtRJOkbccwopn2+i/JmFlC5u5MmzlzD7HxMomRg5u5JDzi3CYfHw7WOlPPyAFbNZ5OzzIm/72RumHKqhqFhiX6Wfrd/UMfGM6BxmTTyjgO8eL8VR0YJlUxWp44siPmfhBVNo+mEXjtWb8Z5+3C/6lPZHUs4+AV9jC47Vm6l9/xWKr7y5uwpFQSHS9Me9imnYKPLOv5y691+nfd82dn/1LIOOnxPSulVBIRyoU9JAEJA9XgIdtm57TYWeI0gS6pxMvNX1uBsbwiYYmsdNxjxuMqaKQFjG6yu6lGz8ahCk0I7BvO1tuKoqQBAwHBKdnrSu3ZW0f74A1+bSn/27Jt1I0tBsTENzSBqajaEoHU+bHVetBWeNBWfX55o2fFYXlve+xLmllIwrZ6NKT4lK7AqhIXaeLXgtoQvdCv0Hv9PDtvs/w+PwM+CQNEUsVOg32Gw2LrroIj777LOf/XtTUxNNTU2sWLGCJ554gvfee49p06YlxJwOh4Mrr7yyWyxMBBJWMPR4PJx99tk0NgZFgzPOOIMzzzzzgNe53W7cbnf39x0dHRGLMV4I2J3gDy7O1SmJvZmX9GpMAzKwlTXhKatCNTm2PRmllCR8jS34rKE/jwSVCkGjRfa48bkdIR28FEw9DYDkMvcBHpm42O0NAOhS+yYY1q7/GsdmGylTDkObHZq9R/KkabSvWYG7vgbLR9+QftmB70UKIJlNmA6bhOmwScg+H65te7Cv2YJz/bZfiIeZRw0j+9gRmIZmKxnjfUQQBPJOG495ZB7bH/yCjuo2XrpiJcdcN5QjrxyEKEbm93rklYNwdnhZ+vJe7rmzHaNJ4MST9Qe+MEqIosDZ5xn49yNW1n5YFTXBUJekZvxp+ax+dx+1n2yMimCYNCSb9EMH0rJiL+1fLCTjqtkRnzPWCIJA+u/OwdfQgqeyhpq3XqToyhsRQ3QFUFA4EP15r2IaMYb8S+dS+9aL2BrKKZ33FENmXh3sEaaQ8DRuX4qrJkDy5GmImsS5VwoqFSpzCr72NnxNrYpg2EfU+dl4q+vxNNbDsJFhHTvWa/gBMy7EWhx6DNatmwDQDi1BlRr+CocuZFnGtaOM9s8X4N7RWS0oCmQdNYzMo4eTNCQbbcYv3Tv0uckkj8z7xVj1X25hz9MLce/YS8N9/ybl0rMxTomO4KnQdyRTp2DYkVg9kBUiy56nFuKsbsOcreP8f01SxEKFfoHf7+fcc8/lq6++AiA7O5urrrqKkSNH0trayttvv82yZcuoqqpi1qxZLFu2jBEjRsT9nHfddRd79+7FaDRit9tDijdaJOQdJRAIMGfOHJYsWQLAoEGDeOmll3p07d///neSk5O7PwoLY2uLEQ387VYAVGYdojrx+4wkDQ+KO+69VTGOBKSU4AYhHIIhQPqM48g44VQkteI5fiDs9s4Kw9TsPl3fVr6J9jXL8dusIcciiCKZs4KHgLZFq/Hsqw15zIMNQaVCP244GVeeS8Hjd5N18+UYD5+EaNDhabVT89F61l/3JmvmvEzlGytw1lpiHXLCYhqcxaT/XkzWcSMI+GW+e7yUV+euxtYSmQQDQRCYectwJp9TSCAAt99oYekP8ZXMcOa5eiQJ9m1oo7Es9HtCT5l6QQkALct342qIjihQdNGhANhXbMDb2d+4vyNqNWTeeAmi2YSnoY76j95CDsS2ykGhf3Mw7FUMJYMonHM9UpIZV1s9pV88gcvSEOuwFMJA1cpPafrqUwKuxGtt0FVB7lX6GPYZdX4WAJ6m+rCMJ8tyQmXU9wTr1k470giKbc7NpdQ/+F8aH3kB9469CCqRnJPGMOXlKxjxp5PJOHTQr4qFv4UgCOTOGsukZy4haWg2Ppub5qffovn59wg442tdrvBzRHOnYNiuCIYKQRoXlVL/1VYEAc75+3iMqf3XWUzh4OKFF17oFu5GjhzJpk2beOCBB7jgggu47rrrWLp0KbfeeisAbW1tzJ07N+7nXL58OU8++SQADz74YMjxRouEEwxlWeaaa67hzTffBKCoqIjvvvuO1NTUHl1/11130d7e3v1RVRV70SnSdAmG2rT46h3VV5KGByvK3GX7YhwJ3ZmrPmt7WMZLO+JY0g4/GrW+f/ytIoUsB/B3tsvR9dGS1O8JLrhFfXiqbg0lA0kaPR5kmdY3P+93G+No8r/iYeZNl2OYNg5Rq8JZ1UbFK8tZfemLbPjD29R+thGfLfEOtGKNpNcw/M6TGHb7TNR6ibIVzTx/yXLaaiJjdSMIAqfdM4bRM3PxeuGm37dRUe6LyFx9IStb4qhjg1UU6z6K3roge3ASA6elIweg5pMNUZnTPDyHtCkDICDT8cXCqMwZD6jSU8i68RJQSdh2bKFl4dexDkmhn3Iw7VW0OXkUXXkj6vRM/PhwFCsHVv2Brt5mcsAf40h6jzqtq4/hwZEQEwk0ecFkTHdjeARDb0sTZX//M3XP/Dcs48UaT2sL7pqqoB3p5NFhH1/2+2l963Ma//UynrJ9iBoV+WdMYMprv2PYrSegz+/Ze8lvYShIY/zjF1B04VQQwL5sPXX3PoZ7T2WYfgKFcNNdYWhRBEMFcDV0UP5YUNw48qrBDJwSpl6zCgoxxu/3c//993d///rrr5Od/csCkYcffpjx48cDsGTJEr755pu4ndPlcjFnzhwCgQBnn302Z5xxRp9jjTYJJRjKssy1117L888/D0BBQQELFiygpKSkx2NotVrMZvPPPvo7/vZg/0J1WmLbkXZhHhGsMPRU1MS8QkBK7aowjF5FSk9or9rBlnf/yuYtr8c6lIggCCKjz72L8Zf+DbWhb69hnzu44Jb04bNGzJh5KoJGjbu0HMeaLWEb92BGUKkwjB9O5jUXkP+fe0i/6lx0o4aAKNCxrZbdj3/PivOfZde/vsG2pzHW4SYUgiCQM3M04568BG22mZZ9Dp67ZDkNuyNzPxMlgXMeGk/xpDRsVpkb57bhdMaPsH7O+cH3yA2f1eDzRO+Q9LBLBgDQ/NVGfA5PVOYsujjou29fth5f08FThaEdXEz65WcB0Lr4W6xbN8Y2IIV+x8G4V1GnplF05Q0UXDYXdUpaWOz+FGKLIAYdaWK9z+oL6tRgT3mfUmHYZ9T5wYMyT1NjWJ4DnqYGAi4XfnfsxY6mnSsp/89fafrqswM/+Dewda4ddCMGhd321m930PjvV7B+swyA/DMnMPWNKxl8/THossL3XiCqJAbMOZxx/zoPbbYZX1MrDQ89i3tP7BOyFX5Jdw9DxZL0oEf2B9jxt3m4rD4KxqZwzO+HxDokBYWw8cMPP1BXVwfAjBkzmDhx4q8+TpIkbrzxxu7v33777bid87777qO0tJSUlJTuKsNEIWEEQ1mWue6663jmmWcAyM/PZ+HChQwaNCjGkcU/XRWGmjRjjCMJD4bCNCSDBtntwVsTW4Ggy5LUH6YKQ5+1A1fNPtzWEDe5goDH1orLbQlLXPGKpNb2qRdGwO9D9nsBEHXhE9LVyamkHXYMAG3vzCPgjs7h/8GCqNdiOmwS2bf/jvx/3kXq+Sejzs8m4PJRN38L6655nQ03vkXD9zsIeOKnei3eMRanM+Gx8zGUpGNtdPPCZSvYtyEyB20qtch5/5iAKV3Lrp0+7v9ze9xU4x5xlJbsHBFHm4edC6P33jLkiCwyBhhxWX3Uf701KnMmj8wjdVIxsj9A+7zFUZkzXjAdPgnziUcAUP/J27hqq2MckUJ/4WDeq0hGE9rsH/tl1dq3ULfh27i5vyv0DkHoPCLwJ3KFoSIY9hVVVhqoJGSvB197W8jjeZqCaypdSmbIY4WK7PfibW3B22Hp8xhdyUaGMNuReuuaqH/gaVxbdyPqVIy891QGX3dMRM9wUsYUMPnZS0mbOhDZF6D52XcIOBTnlnhD6hIMLZFxglFIHCrfWEnHtlq0RhWzH56g9C1U6Fd8+eWX3V/PmjVrv4896aSTfvW6eJpz7dq1/POf/wTgkUceISenb+54sSIh7i5dG/D//jdoY5GXl8fChQsZPHhwjCNLDAJdgmFq/xAMBUkkaVinLene2GbBSSldlqTh6T3Vsugb9j37H1p2rwlpHJU2KIJ5vcqi8tfwuzt/L4KAqNWGdezUw45GlZyKv7WdjvkH10F8NFGlmjGfeAS5D95E9l1zMUwdhyCJdGyvY+ff57PygufY+8ISnHXhEfP7O9qMJMb/6zzMI3Nxdnh5+apV7FoSGdHMnKVj9j8mIIrwyQdO3n87PrJlVSqBs2YH751rPojee4soCky/OFhlWPPRemR/dCo6iruqDJeuwddiicqc8ULK7JPQjRmK7PFS+9ZLYXsPVzh4UfYqP+Jtb6P+wzepXf8VlUveTUhby4OdHysME+9v19XDUBEM+44gSahzguJeOGxJPc2dgmFy3/rOhxNJE3SWCTj7tvb0NDfirq8BScQweVTY4nJuLqXhwSfx1TejzUpiwn8uIPPIoWEbf3+oTFpG3DULXU4yvqZWWl79WEn2iDOUCkMFgPYt1ex7cwUAp94zmrTC/uEgp6DQxZYtP7q0HXLIIft9bE5OTnef94aGBpqamuJqTq/Xy5w5c/D7/Rx11FFceeWVfYovlsS9YPi/G/Dc3FwWLlzIkCFK6XVP6W8VhvBjH0NPjPsYqlK6LEnDc9godfbT87ntIY3T3wXDzVtep3TeU9gb+9ZrwdfVv1Cn6+7TEi5EjYbMmacC0DF/Md5axSYzkgiCgG7YADJ/fwH5/7yL5LOOR0pLxtvupOqd1ay+9AW23P0xbRv2KZvfA6A26xn78LmkTRmA1xXgjRvWsvHzyFRfDZySzrE3DgPgwfva2bwxPqpxz54dPEgqW9EcsX6Ov8b40wrQJ6tx1bXTsrIsKnMmjykgZXwhsi9w0CU3CKJI5jUXoMrJxNdhofrVZ/BaQq+iUDg4UfYqP0ednErmiaeDINCyew27v34en7t/rkf7Kz/2MEw8S1JNarDC0N/WQcDjjXE0iUu3LWk4BMOmBgB0KVkhjxUqkkYHQMDVN+Glq7pQN3Jwd1+5UJADAdo/W0Djf17Bb3djHpXHxKcuxjQ4ur8rlUnLiD/NAlHAsWoTjrXRcbxQ6BmSKXi247E4lf3sQUrA42PHQ18iB2D8qfmMPyU/1iEpKISd0tLS7q8HDBhwwMf/9DE/vTYe5nzwwQfZsmULOp2O5557rk/OeLEm7gXD66+/vnsDnpOTw8KFCxk6NDrZVv2Frh6GmtT+k4GSMjao6js27kSOoV2OlJYMBDcd/j5mKv5sPENw4+Fz2kIbRxscJxDw4vf3v82y1VaLrX4v9PWm23kA0m25FGZMo8ZhGDgU2euj/m/P4Ny2OyLzKPwcKSWJlNOOJf8fd5B5w8XoRg8BGVpX7mXz7e+zbu7r1H+1VbEr3Q+SXs2o/zudrGOGE/DJfHDXJhY/vycim9Mj5gxi+NHZeNxw7e/aqKmO/d+loEjF5KkaAHYv7VuWWl/Q6CUmn1MEQN286PU/LbroxypDv+3gOtAXjXqybroUKTkJT2M9+55/LFg1oKDQS5S9yi9JOWQ6eRf9DkGjwVq7m52fP47LoiRQJQo/vucn4OGGwYioDYpCSpVh39EUBy2GnfsqQh6rK7FWY0oNeaxQEdVBZ5mAt2+Jal2CoTEMdqSyx0vjv17B8tE3EJDJOWk04x6dHbMzG/PIPPJPGw+Aa0d0ktcUeoaUakbSq5G9fqw76mIdjkIMaFu/D3dDB6Z0Laf8OXzVzQoKkaajo+NnH263+zcfa7FYur/OyMg44Njp6em/em1viMScmzZt4u9//zsA9957b8ImkapiHcD+uOGGG3j66aeB4AZ80aJFDBs2LMZRJR7+jqD4pO5PguGEQtTJerztNlzby9CPic3BjKjTIqUk4bdY8bY2IeUXhTSeKjkFAI/NEtI4kkaHIErIAT9erx1JSglpvHgiEPDjcQerZtWG5D6NoU3OZMCt9yB2ZpmGG0EQyDnnImpefx53XTWNj75EypnHYz7lqLBXNCr8EkGSMEwajWHSaLz1zVi/XYZ92Rrse5soffRr9r6whLzTxpF78li06aZYhxt3iCqJ4X+chSbdRPX7a/n2sVI8Dh/H/2F4eOcRBc59aDzPX7Kc+l1Wrrmijbc+TCfJHNvXyKGHaVi7ysPe1S1MOa84avNOOquQJS+W0ba2HHezDW1G5J+bKeMLMQ3KxFbWhG3RKpJPOTric8YT6pxMcu69jsZ/vYy3poF9Lz1J3uzLMQ5W1poKPUPZq/w2pqEjKfzdDdS++SLu9iZ2fPEYA468iJSikbEOTeEADDrmUqypbjRp6Qd+cJwhCALq9AzctdX4GprR5MfeBjMR0Y0M9l51VuxB9vsRJKnPYwXcwaTaLjvQWCJKweMv2df7JDV3Y32w4lKS0E8M7T4myzLNL32Ia+suRJ2KITceR84JsRcB9IVBS98uhyqF+EBQqdCOG4Vj5UYaF5ViHpl34IsU+hXNy4IJ6KOOz0FnUsc4GoVYsK82A1EfmfPLSBBwBvvhdll4dnHffffxl7/85Vevsdl+LJzR6Q78s+r1P64rrNa+vW+Fe06fz8ecOXPwer2MGzeO22+/vU9xxQNxKxjefffdPPnkk0Bw4f+HP/yBHTt2sGPHjv1eN3HiRIqKQhNt+htdgqEmpf8IhqJKInPGUGo/24R9xYaYCYYAquwM/BYrnuYmdOESDB2WkMYRBAGVzoTX0Y7Ha0enSwlpvHjC67UhEwBBRK1P6tMYoqRCnRzZLFeVKYnCK2+gcd5HdKxfheWjb3DvrSLjqtmIxthvmA8W1DkZpF1yOslnHY9t8Rqs3y3H29pO5Wsr2PfmKjIOH0zeaeNJHlsQE5sA2R/A2+7E02rH0+bA02YPfrQ6kH1+dFlmtNlmdDlmdNlm1CmGqMQpiAKD5s5Am26i7JlFLH6+DJVO4ui54c2O0hpVXPzUITx74TJ2l7q5+ToLz7ycikoVu6qGadO1PPEvG2Urmwn4ZUQpOrFkFBspnphK5fo2Gr7dRtEFUyM+pyAIFJwzmZ0Pf4n1u+WYTzwCQRW3S8OIoEpPIedP19D4xOu4d+6l5s3nyTn9PMzj99/DQEFB2ascGF1uPkVzb6Lu3Vdx7iun1bGXFBTBMN4x5QxELk686sIuNOmZuGur8Ta0xDqUhEVTlIdoNBCwO3DVVqMv7FsClSzLaHMLCLhdcSEYCmKnYOjvvWBo27YJAP3oIUjG0M5V2j/7HsfKjSAKjP6/M0idGL0Etf2hTQ+6FPktimAYbxinjsWxciNNi0sZNHcGgqQkIR8syP4ALcuDVb8jj8uJcTQKCr2jqqoKs9nc/b1Wq41hNJHnkUceYf369UiSxAsvvIAqgc9W4jbypUuXdn8tyzJ33XVXj657+eWXufzyyyMUVeIhBwIErMF+eOp+JBgCZB07gtrPNuHasJWA+0xErSYmcahzMnGXluNpCd2+Tm1OAcDr6EAO+BHEvmdzGtLz8RqToZ/53LvcQVsbtcEcUrVeUqWMNcKHIaJaTc4Z56EvLKZh3kc4N+6g7i9PkHnDxWiKlMzAaCIZDSTPmoH5hMNxrN2KdcEK3LsqaFq8i6bFuzAUp5N32jiyjxuJyhi5RYzf6cGypQbLhn1YNu7DVtYEgZ6/RkWtCm1WEqaBmWQcPoT0aQOR9JG79xWcMwlZltn77GK+f2IXao3I4VcMCuscKbl6Ln7yEF65fBlLF7v52/0d3PtA36qHw8HYCWrMZoGOdi/Vm9sompAWtbknnllI5fo26r/aRuH5U6IiDmceNYy9L/yAp8WKffUWTNMnRHzOeEM06sm+dQ7NL36AY+VG6j96G6/FQtqM4xKy34BCdFD2Kj1DlWSm4PLfY1m7gpRDpmOVBJIq+9faVCG+UKcFLaV8imDYZwRRRDuoEOfmUlw1+/osGAqCQOGc6+LmNS+ptajTM1ElmQ/84P/BXrYLIOTqQvvKTbR//B0AQ248Lm7EQgBNWpdg2BHjSBT+F/3ooYgGHZ4WO+1ba0gZV3jgixT6Be1ba/C2O9Gb1ZRMit6+VEEhHJjN5p8JhvvDZDLR1tYGgMvlwmTav+OS8ydtwZKS+lZMEs45d+zYwf/93/8BcOONNzJ58uQ+xRQvxK1gqBAeAjZHt2DUnyoMIeizr8tJxlXfjnPjDoxTx8UkDlVOcFPqDYNgKJmSQBQhEMDrtKIxpvR5rMEn/A4Ac9lve0QnIm53OwAaY2iCQvXqL3BtdJJx3CwkY2St/5InTUObm0/tO6/ia2ql/oGnSbv8TEyHTYrovAq/RFBJGKeNwzhtHJ59tVgXrMKxcj2Oyhb2PLGAvc8vIWvGUNKmDSJ1YlHI4qHf5aVjZx2WDVVYNu7DurMe2R/4n6AExCQjUrIJKTkJyRz8jCjia7Hgb2nD19yG32Il4PbhrGrDWdVG0+JdiBoVaVNKyDhiKOnTBkZE7Cw8dzIBt4+KV5bx1T93otJKTLuwJKxz5I9K5syHJvL2Tet461UHQ4epOP9iY1jn6ClqtcDhR2mZ/5mLnYsboyoYjp6Zy7y/bcNZ00bH1hqSxxREfE5RLZF3+gQqXlqK9eslGA8df1CKZIJaRcbVs7Gkp9AxbxEtC77E295K9innhGTFpqCgELRTS512RPf37fl+2t5+n5xxx6JLzoxhZAr/S8Dvo6Z5NUKrGvO4yQlppf+jYNgc40gSG82Agk7BsCrWoYQNXUoWA/7Qs+SOnxJwu3HVVAbHGDm4z/O79+yj5cX3gGBSXt4pofdCDCeazlYN/nYrsiwflOvBeEVQq9BPGoV9yToaF5YqguFBRPOyPQAMPzobSZ1478kKCj0lJSWlW7xrbm4+oHjX0vJjYlhKSkpM5wwEAsyZMwe3201JSQkPPPBAn+KJJ+JWMFy0aFGsQ+gXdNmRqsy6fmdbIAgCWccMZ99bq7Cv2BgzwVDdKRh6mkMXDAVRJP2omYhaLaIqNhWT8Y67s8IwFDEVoHnXKvxuBynTZ0RcMATQ5RVSfM3N1H34Jo7dO2l5/n3cZVWkXXjKQWcBGC9oivJIv/xMUmefhG35emwLVuKtbaT+623Uf70NQRIxj84nbUoJ6VMGYihJP+DG2dPmoGNbDe3bamjfUottd8MvBEJVZhq6EQPRjRiMdmgJUmrPqmVlnw9fazu+plZc28twrN2Cr6GF5qV7aF66B0EtkTqpmNyTxpA+fVBYN/nFF08j4PGx761VfPG3bag0IpPPCa+l3shjczjuxmF8+1gpD97bwcDBKqZMi41lxdHH6pj/mYvSxY2ccFN4ezfuD61BxegTc1n/cTX1X2+LimAIkHfyWPa9uRJPZS3unXvRjQhvFWmiIIgiqeeeiCotmdY3PqNj3Spc+ypIm3EcSaPGK8Khws9Q9ip9p2XBl7TtXkNb1RYGHnERyUpfw7jB73HS+MWHAAlrzazpFAy9jUqFYShoBgQFCXdt/xEM+4qjsgz8AVSZaagz+5ZI5mtqpeXJV5C9ftIPHcTAq44Mc5Sho0ntTDD3+QnYHUim2CTvKfw6xqnjsC9ZR/OSXQy54Zh+d76n8Ou0rikHYPhRWTGOREEhsgwbNozy8uDzvby8nJKSkv0+vuuxXdfGcs4tW7awcuVKAEaNGsW///3vX73eYrF0f93e3s6DDz7Y/f3tt98eV5atyil1P6e7f2Fq/1zsZR07gn1vrcK1pRS/zR6TRa06u1MwbGkKSyZe+lHHA6CKE+uWeENAQGNMRWMKrQehpNbidzsIuF1hiqwHcxqM5F90Ja2Lv6Vl0TfYFgQP6DOvvwhVauwsGA92RIMO83HTSTr2UNyl5TjWb8O5uRRffTPtm6po31RF+fNL0GYmoS9IRVCJCFLwQ+z8LMsytj2NOKvbfjG+lGLuFAgHoR0xqM8HDYJKhTorHXVWOvpRQ0g5Zybeqjoca7ZiX7MFX30TrSv30rpyL0kjchl41ZGkjA2f4FRyxWEEPD6qP1jHp/dvQaUVGX9qeAWtI68cRP0uK1u+rOXGuW188HkGBUXRX6ocfpQWUYSG3VYsdU5ScqPXd2fimYWs/7ia1sU78F93dEQtZ7tQJ+vJOWEUtZ9vouPLHw5awbCLpGMPRUpLpvm59/A0NVD/wZu0LPiatCOPDVbcKMKhgkJIpB46A+e+Clz7ytnz7YvkjDuWvIkzQ7LiVwgPAZ8XAEGtTtjqInV6cG/mb21H9ngRNOoYR5SYaAfkA+BpbiTgdiFqdb0ew1lVQe2bL2JIyWPoSdeEO8So4dy7G6DP66OA00XjY6/itTgwDspkxJ9mxaXYI2pUqJJ0+Kwu/BarIhjGGboRgxCTjHjb7bRt2Efa5JJYh6QQYVz17Tir2hAlgUHTMmIdjoJCRBkzZgxfffUVAGvWrOHoo4/+zcc2NDRQVRVMaMrKyiIzs2+OJeGaU/5JK7B58+Yxb968A85tsVi45557ur+//vrr40owjL9VikJYCXQKhv2tf2EXxuJ0TIMykf0BHGu2xiQGVVYaCAKyx43fFj8Nwlt2r2HLu3+ldNcnsQ4lrBQUHMqY8++mYMqpIY0jqoI3YtkdXctWQRRJP3omeRf9LtiHoGwfdfc9gWvn3qjGofBLBEFAN3wgaReeSv5Dt5H3yO2kXnwaurHDEDUq3E1WLBv20bamgtaVe2lZtoemH3bRuHAnTYtKu8VCdUE2pqOnkn71eeT/4w7y/30XGXPPx3TkIX0WC38rXk1RHilnn0De328h9683Y541A1Gnwrqjjk23vMuWuz/GXh4eSy5BEBg4dwZ5p41DluHDP29i69d1YRn7p3Oc+X9jyRuZjKVN5tor27DbAwe+MMykpopMmBQ8YCxd3BjVuYsnpJJebMTj9NO0eFfU5i04ZxII4NxciqemIWrzxiuGCSMpePROUs46AdFkwNvaTMMn71L+n79hWb2MgNcb6xAVFBIWVZKZwst/T/KUwwCo3/Q9u756Fq9D6ZsVawI+DwCCKnFFNsloQtRqQZbxNrXGOpyERUpOQkpLBlnGVVvdpzECTid+hx2/23ngB0cBv8dJxVP/oPzxh5ADPV9fOroEwz7Ykcp+P03/fRtvdQOadCOjHzgjKslgfUWT3tXHMH7ONRSCCJKEYfJoAJoW7oxxNArRoHVtBQCF41LQJSXu+7KCQk848cQTu7/+8ssv9/vY+fPnd389a9ashJozUVAEw36Ov72rwrB/CoYQrDIEsK/YEJP5BZUKVacI4GkO/WDZ73TgrKrE0VIb0jiyLOOxteJyWUKOqT8iqYOCYcATmx6PpqEjKbr6FjTZuQQ6bDQ88gLWxWtiEovCr6POSsd83HSyb7mC/CfvI+u2OWTMPZ/0K88l7YqzSbvsTNIuPp3UC04h9bxZZN50OQVP3kvegzeTftmZmKZPQJWZFpUMfUEQ0ORnkzr7JHIfugPTMdNAFGhduZe1V7/Kzoe/xFXfHpZ5Bl9/LDknjUYOwHt3bmDPivD2CNLoJS56fBKmdC27dvq48yYLgUD0K66POjaYSV+6OLrimSAITDwzWLlZ91X0EmH0+alkHD4EgI4vf4javPGMaNSTfNox5D96J6nnzUI0m/C1t9H4xYeU/+evWNau6NWBo4KCwo8IKhXZp5xN7rmXIGi02OrK2P7Jv7A1VsY6tIOagD+YDCGq41fQOBCCIPzYx1CxJQ0J7YDgesRVs69P1/s7nVxETZxkzAsinoY6vM2NyD5fjy7x222464P7ct3I3lcYtr33Ja7NpYhaFaP/7wx0WeZejxFNNGmdgmG7ksARj3S14WlauoeAp2fPYYXEpXVNBQBDDlP6PSv0f2bMmEFOTg4QbP2wfv36X32c3+/n8ccf7/7+/PPPj/mc48ePR5blA3781NK0uLj4Z//X1z6MkUIRDPs5fqsdCNqN9VeyjhkOooB7VwXuvbHpsdDdx7Ap9IPljs3rqHr+Meo2fB1aTPokANweW8gx9UckTVAM8DsdMYtBk5ZB0VV/wDRiDAQCdMxfHLNYFPaPqFGjHz0U46HjMR0+iaQZh5B09FSSjjsU88zDMZ90JIbxw5FMsU/OUKWYSb/0DPL+dguGQ8aADA3fbmf15S9R/soyAj5/SOMLosDQm44n6+jhBHwy79yyjsay8GYhJ+foufCxSag18N3Xbl58xh7W8XvCkUcHD7cq1rX+zGIiGkw4rQBBhI6tNbgaondgU3juZAAcqzZ2W5orgKjTYj7pSPIfvZO0i09HSkvGb+2g8bP32ffMv3BUlMU6RAWFhCVpzASKr7kZTVYOAdmLZ3BSrEM6qPF7ugSexBUMAdTpwcNVb314k5oONjQDg30MnfvKD/DIX0f2BitWRSk+nk8/tT2W/T1bD3e9x6sLspHMvet7795bhfWbpQAMv/Mkkobl9Or6WCK7FSeFeEQ7tAQp1Yzf7qZu3uZYh6MQYWx7ggUJJZPTYxyJgkLkkSSJe++9t/v7Sy+9lMbGXxbl/PGPf2Tjxo0AHHbYYcycOfNXx3vllVcQBAFBEDjqqKOiMmd/QhEM+zkBR9D+Q23ufc+BREGbkUT2cSMBsHz4TUxiUBflAuCurwl5LE1qUHx0d4SWEasxpgDgcv2yp1ois2HTS+z45N84LaGJs5qkYFWotzW2mceiRoMqOQUA7ZDimMai0L9Q52SSed1F5Nx7HboRg5B9Afa9sZKNN72Ls9YS0tiCJDLs9pkkj8nHZfXx2rVrsDWHt1q3aHwqs+4aA8B//mFlzaroVgMPGKRCksDj8If9ZzsQ5iwdxROD96jmpbujN+/IPJKG5SB7/dh+WBu1eRMFUaMm6bhDyX/kdlIvPAXRoMNdX0v1S09R+95reC2K9Z2CQl/QZGRRdPVN5F86F3VqOtbiYGV+lz2mQvTw2IL7hq61aaKiycgCwFsbXVvx/kaXBaezfE+PBbaf0tXzVw6ElqwWGXqWDOasDLaN0A0b2LvRAwFa3/gMZMg6bgSZRw7tdYTRxu/00r4leJ6hHTYgxtEo/BqCKJJ86jEAVLy2Am97fNj9KkQGQQyuh0QpMXsKKyj0lquuuorjjz8egG3btjFu3Djuvfde3nnnHZ5++mmOOOIIHn30UQBSUlJ49tlnE3LOREARDPs5AXtwAaEy9V/BEKDk0kMRVCKubbtx7Yh+pr+mKA8Ad11oNqIA6vSgYOjqaA6pqkVjSgXA53Pi87lCjitesNvqcbRUh7zx1JqDWVrettgKhrIsY9u5DQj2zFJQCDfagYVk33kVGddeiGTUYt1Zx7prXqfhu+0hjStqVIz6y+no81Ow1Dh548a1eF3hPRCafE4h40/Nx++HW6610NQYvQMnjUagoDB40NVcEf0Kx1HHBbPQm5ZETzAEyDstaHVkXbhSsdv8DQSVCvMJh5P30G2Yjp4KgoBt60YqnniI5gVfEfAoIoeCQm8RNRr0BT8mTtV7Stn8wV+xVGyJYVQHH92CYUpqjCMJDW1mNqAIhqGiKc5DTDIScLtxVvXeLrirF6bsjw/rxJ+1CejhPrtLMNQOLenVXLYl6/DsrUIyaBh41ZG9ujZWtG2oRPb6UWWmoc7LinU4Cr+BacYhqAty8FldVL65MtbhKEQQUR3ci/o8yp5M4eBApVLx4YcfcsoppwBQX1/PAw88wAUXXMB1113H0qXBqv2CggLmzZvHqFGjEnLOREARDPs53YJhUv8WDHU5yeSePBaA9s8WRH1+TVeFYUNtn7Ivf4o6JQ1EEdnvxevouxWdpNGh0gV7EDid/afqISAHN5ziTyxl+kL64EMYcPPd5Jx9UTjC6jOehjp8llYEtQrd6CExjUWhf2OcMpac+29CO7QEv8PDzoe+ZMff5uGz9b16Tp2sZ/Rfz0KfrKZ6s4UP/rQxrP0GBUHgtHtGkzXYRFNTgLmXt2LtiN6GqWSgCoDmyugLhiOODQqG1m01uJujZw+aedQwVEk6/C0WnJtLozZvIiKZTaRfdia599+AdtgAZK+P1kXfUPHEQ9j3KL87BYVQaFu+CL/dRtn3r1Cx5F383tj0nD7YyBg6hbyLfkfK5OmxDiUkNFk/CobRthXvTwiiiG5UsMrQsWdn76/vFAy7emMmGn6Xs7t/oXZozyvu/DYH1o/mA1By6XS06b2zMo0VrSuD4qh+3PCo9GBX6BuCJJF6/skA1H62EWdd6H3qFeKTLsHQ71UEQ4WDh6SkJD7//HM++eQTzjrrLAoLC9FqtWRkZDB16lQefvhhtm7dyvTp4VurxmLOeEcV6wAUIkuXJanKFCeNxiNI4bmTqf10I67Svfg7bL3uMRAKqqx0BK0G2e3B09rcndXaFwRJQp2Sire1BXdHMxpjcp/H0iZl4HPZcbpaSUrK6/M48USgs7JQkEK7fan1JtSpsd8IdVUX6kYNQdRGp7+H3+bAtaMM1/Y9uEvLCbjc4A8g+/3I/gAEAsj+AIIQ7F2iHzcc/dhhqPOzlc1jgqPKSCX7j1fT/sVC2j/5jsYFO+nYXsvwu2aRPCq/T2MaClIZet9ZbL3jPbZ9U8+3j5Uy8+bhYYtZY1Bx4WOTef2yH9i+1cfcy1t54Y00DIbI5zwVlwQ3aS0xqDBMydVTOC6Fqk0WmhaXUnD2pKjMK2nV5Jw4iur312FdsBLD+BFRmTeR0RTlkf3Hq3Gs3UrbO/PwtVioee1ZUqYeTsbxpyR8LzAFhViQd9GVtHz/JW3LF9GyazW2ujJKZlyIKbsk1qH1azSmVEzFabEOI2TU6VkgCMhOF/52K6oUc6xD6hOyz4+3rglPVR3efXV46xpR52djnjUjan2z9aOG4Fi5CXtZKRnHzerVtZLegCY7F60xI0LR9ZbeVRi69lWALKPKSkeV2vPnkOWjb/C2OzGUpJN3xvjehxkDZFmmZVWnYDg+fOt4hcigHz0E3aghuLbtpuKVZYy4q3evTYXEQFAHz7x87ni0dVZQiCynn346p59+ep+vv/zyy7n88sujOueBKCkpSZhENkUw7OccLBWGEKwyNA3OwranEceGHSTNOCRqcwuiiKYwB/eefbjrakISDAHUaRndgmFS7qA+j2PILAQBRKH/vNS7rEgFsX/8TLadWwHQR9COVPZ4ce2pxLVtD67te/BUVPeobYcMuEvLcZeWY3nvS6S0ZPRjh6MfOxTdyMGIutgkIsiy3C1wIssxiyNREUSRlNOORT9yMM3PvourvpWNN7/LoN8fRcGZE/s0ZsrYAobcdiI7H/qSJS+WkV5oYPI5RWGLOaPYyPnPHMbrc5ayfq2X669s478vpaHVRVbAjmWFIcDYWXlUbbLQuHBn1ARDgLxTxlH9/jpcW0rxNragzkqP2tyJiiAIGA8Zg37sMCzvfYn1+xVYVi3FUbaLnHMuQpdXGOsQFRQSClGlInPmqRiHjqD+o7dwt7dQOu9JcscfR+744xFCdJpQ6N+IKlVwP9XShLe2MaEEQ+fmUuyrNgVFwtpG8P38oNi5aSeOH1aSdPKxJB03vftAOVLoRgd777lrq/HbbUjGnifl6otKKLnudpIq4+RwTACNMZWACuhBEmRf7Eg9lTXYFq0CYMj1xyKqEuNeZdvTiKfFjqDV9Lpfo0JsSDn3ROq37abx+x0UnDOJpCGhnUEpxB+iRrEkVVBQiA3948Rd4TfpqjBU9/Mehl1kHD4E255GnOu3RVUwBFAX5QUFw/oaGNu3Q/fusdIygFLcHc0hjVN06JkAJJf1DxsnWQ4gE1wsiSFWGAI4vlhIu7OatBnHo83KCXm83uLtsOCurQJBwBCBTE45EMC2cBUdn3yNz/rzPpaG4nRSJxaRMqEIbUYSgkpEkEQESUCQJARJIOD20ba+ktZV5Vg2VuFvbce2aBW2RasQtSpSZp+M6ZhpEa06dJXupfWNz/FbOpB9PvD5kX3+n2UFawYUYJw2HsPUsQl1IBRrtIOLyf2/G2l97RPsKzZS9tRC3E1WBl55ZHeD9d6QfdxInDVtVL6+ks8e2EpKvoHBh4Yvozx3uJkL/nsor1+1guVLPdxyfRv/+W8qanXknn8lA4L3mZaK6FmC/pQxM/OY//B2rDvrcdZa0OelRGVefX4qqZNLaFtbgW3hKlLPU7KWe4qo1ZB2yenox4+g5cX38TQ3su/5x0ifMZO0I45BkBLj4FBBIV4wDBhM8bW30zjvQ6yb11O34VuMmcUkFyrVz+FGlgM0bF6Evz2VpJFjEVSJfVSgyczqFgz1IwfHOpwe4dy6i8Z/v/yzxD7JoME0KBPjwEz0eSnUf70N+94m2t6dT8f3K0g950QMU8dGbD2uSjWjLsjBW12Pfe9uzGMmRGSeaCAIImPOvxtrcc9+V12Coa6HgqEcCND6+mcQkMk8ehgp4xMnWail045UN3pIxEVohfCgLcnHMG08jpUbKX9hCWMfPifWISmEGaWHoYKCQqxQVgL9GFmWf1JheHBU4GQcPpiKV5bh2r6bgNONqI/ez93dx7CuJuSxkkaNQ5ORSYq6JOSx+hOBgK/763Bkllsqt2JrKMc4fHRMBEN76XYAtIMKkZKTwjq2e08lra9/hqcy+HzUpBtJnVhM6sTiTpGwZ9nBhsI08k+fgN/txbKpmtZVe2ldVY6rvp3W1z/FtbuC9MvPikiVn23JWlpe+RgO0BfUU16Np7yatnfmoRs+EMO08Rgmj0IyRseqKZER9TrSrz4PdX42lg++pvq9tXha7Ay7bWb3BqU3FF86HWeNhcYFO3nnlnVc8/ZhZJSEzx66cFwq5z0xhTevXcX337j5020WHv53CmIfBM6e0FVh2FrlwO8LIKmi2/rZlKFl4JQMylY207hwJ8UXTYva3HmnjQsKhj+sJfnM4xE16qjN3R/QjxlK7oM30frqJzjWbKFlwZfYd+8g5+wL0aTFizWbQiLht3Yg6Q6OBMD/RdLryT3nYozDRuHaV454+EisED9VS/0Er8NKzdp5sF4kadS4WIcTMpqMbOxsC1bpJQB+i5W2F94BObinzT5+FKZBmWizzT8TA/PPmEDDt9spf3kZnuY2mp95G803S0k9bxa6YT3vs9cb9KOH4K2ux7GnNKEFw94Q8Hpx1u4DQNvD36t9xQbceyoRdWoGXT0jkuGFna7+hYZxih1pIpFy9gk4126mbV0lbesqSZ1UHOuQFMKI0NXDUBEMFRQUoowiGPZjZJcHAsE3FtVBUmFoKE5Hn5+Ks6YN5+adGKdGb7OrKQr2CHTX1yLLckhZnoYBgzEMGIwxTAchgYAfsR9YN8lyALUxGdnvD7mHIYDWnI6toRxva2iVnH3FtiP8dqS+tnYsH32Dfck6ACSjlgFXHEbeqeMQpL6LHZJWTfqUAaRPGYB8vUz1h+vY+9wPOFZuwruvjozrLkKTHx4bFDkQwPLB13TMXwyAadQ40o86AUGlQpBUnZ8lBElFwO3Ctn0zHZvX46qqCPZm3FFG62ufoB83jJTTj0VT3LfefAcLgiCQfMrRSClmWl76gMbvd+C1OBh532moDL3rvSYIAsNum4mroYOObbW8eeM65r41HZ0pfGLToKkZzP7nZN65aS2ff+zCYOjgL38zRySzPidXRKsFt1vGUuskvcgY9jkOxNhZeZStbKZpYWlUBcP0qQPRZiXhbrTiWLMZ02HRs0TtL0gmIxnXXoh9xUZaX/8EV1UFlf99lJzTzydp9PhYh6eQYNS++wqFV9540IqGAOYxE34mVrSlWWl+620KppyKPi03hpH1Dzy2VgBU5uR+UQ2tzQquSxNBMJQDAZqfexevxYFxYCbD75qFpP31tZMgieScOJrMGcOo/nAd+95ZjWdvFQ1/fxbzrBmkzj4p7PHpRg+l46sl2Pfs7NU+19veRvUrzyD5RUadfUfY44okrpp94PMjJSeh6oE1e8Dhou3dLwEovmQa2szwJoNGEk+rHWtpPQD6sYpgmEioM9MwHX0o1m+XsfeFH5g44eI+OcUoxCfdFYZeRTBUUFCILtFNlVeIKl12pIJKRNQeHNqwIAhkHB60nHGs2xbVudUFOSAI+O02fB3tUZ37t/B7XGx5728sXvoX/H5vrMMJGZVKx9jz72XcRfeHxZJUmxSs8oiFYOisLMdRvhsAQxgEw6CF0SvU3PpQt1iYc+Joprwyh/wzJoQkFv4vgiBQeM5kxv9zNpp0E97aRhr/+hTOrbvCMr59+YZusTBtxvHknnsJ2uxcNOmZqFNSUZmSkPQGRI0GVZKZlKmHU3TVjQy4+W4yjjsZTXYu+P0412+n7r4naHryDTxV9WGJrT9jOnwSWTddjqhT07aukk23vYenzdHrcUSNilH3nYYmw0TTXhsf3b057I2dhx+Vzdl/n4AgwLtvOvjv45GxDBVFgaKSH6sMY8HI43KQ1CL2imbslS1Rm1eQRHJPCSbdWBesitq8/Q1BEDBNn0DegzejHTYA2e2h7r3XaP52HnJA2fwr9BxPYz1177xMwOc78IMPEpq//YKOmlK2f/Zvatd/RcCv/G5Cwd0RfI9RJ6fGOJLwoOnsKe+taQj7OiTc2FdswLV9D6JOxci7T/5NsfCnSHo1xRdPY+prvyP35LEAdMxfTNv7X4X959UOLUFQq/BbO3DX1/b8QkHA29KEq70pbv4GOz97nMpn/43fsf/+1M7KcqDzZ++BQNr2wVcEOmzoC1MpOCuxkqzqvtwCBNs8SCmJI3QqBEk+7Rgkgwbb7kZqP98U63AUwkjXOa7bpqxvFBQUoosiGPZj5E4bP1EtRbTHWLyRcUSwMbtr83YCbk/U5hU16qBoCLiqK0Mez11fS41lHT5X3w/CRbUWv9uOHPDjdEbvoDlR0CSlAeBta43qvJ6WJmreeRH8fgyTRqHKzezzWL6mVhofe5XGR1/CuWknBGSSxxYw/vELGHbbTDSpkbPlTB5TwKRnLiF5bAF+h4fGf72MddHqkMe1LVkLBMXCjGNPQhB79lalTk0j7chjKbnudoqvu52kMRNAEHCs3UrdPf+h6ak38dQ0hBxff0Y/dhhZd1yNOlmPbVcDG29+B1dDR6/H0aQZGfWX05BUAtu/q2flmxVhj3XMSXmces9oAB7/p40vP3eGfQ4ArTb4/hnwxUbc0ZvVDJoWzGzvsouKFrknjgZRwFO2D29dU1Tn7m+o0lPIvuNKzLOCFmWtS76n9p2XCbhdB7hSQaETjRrH3t00fPSWIjZ3knHcyRiHjwK/n7oN37Ljk39ha6iIdVgJi7W+DABdflGMIwkPmsxgMmfAasdvscY6nP1iW7wGgKLzp2IoOnA120/RpBkZevPxDJwbfH/pmLeIlhfeD/b8DhOiRo1u7DAArFvW9/g6ydBpSy8H8Ltjk3j1U2RZxt5Uibum6oD30a79vHbwgS0eXTvKsC1YCcCQG4/rk61/rPC2O9j3dnD/lnTcoTGORqEvSElGzGfOBGDvs4uxl8fGPUkh/JgGZQFQsTa651UKCgoKimDYnwl0ZvEdRGIhQNKwbHQ5yQRcvqCAEkW0Q4IbCue+ipDHqvvgDeo/fAt7474+jyEIArrk4CLD4VAOe/8XbZdgaGmL2pyyLNPw2fsE7A40AwtJv/q8Pgn6stdH+2cLqLv7Xzg37ECQRPLPnMAhL1/B+H+dR/LIvAhE/0s0qQbGPnQ22ceNhIBM6ysf0fZB3zObfS0W3KXlIAgkT+67/aI2O5fccy+h+NrbMHX24XGs2ULd3f+h6em3FOFwP2gHFpL5x2uR0lNwVrex4ca3cVT3fpNiHp7LgLlHAfDVozuo3mIJb6DAlNnFTL8k2FfmjpstrF0V/iQRny/4XBaj3L/wpww9Ingfb1kVXcFQk2Yk7ZDg79e2bF1U5+6PCJJE6uyTSL/6PFCpsO/cxr7nH8fbpiT0KByYjLnngSRi3bqRpq8+jZtqnViiMieTd8EccmdfimQ04bI0UDrvSSqXfYAvDsSJREKWZay1nc4Xg4bEOJrwIGo03VWGXT294xFvfTPuXRUgCuScOKrP4xSeO5lht80EUcC+bD2Nj78W1uRZ47TxAFg3b+hx0oKoUiEZg6Khxx4HDjw/uW/uLyFRluUfBcNBhQcYUqbtvaAVae4pY0mdkFiCe/VHGwi4vGiK8zBOnxjrcBT6SNJx09GNHUbA42P7X7/A7058dykFSJsS3IeVr2nB41CqDBUUFKKHIhj2ZzoX8uG0IkwEBEEgc0awytCxektU5+7KQHTtKw99rOxgLxZnW11I4+hSggfN9n4gGMpygD0fPMGOzx7D7wm9KkNjCgqGvg5Ld0VupLHt2IKzfA+oVGT8/gJEbe96xAE4t+6m9p7/YPnoGwJuH8njCpn03KUMvu4YDIVpEYh6/4gaFcPuPJHiS4JZqR1fLMKxenOfxrKvCtqo6IsHhsUSS5udS955l1F83W2YRo4FWcaxejN19zxG+/zFyoHrb6DOzSTn7t+jzsvC02Jj850f4m7ufbVz3hkTyDhyKH6fzDu3rsfRHn5B78TbRjDy2Gy8HrjuylbKdod3g+zrHE5UxS75pkswtG6rwWdzR3XunJnBw0v78p4fECrsH9P0CeT8aS5SShKexnoqn/83zsroisEKiYd+5GDSf3cuAJaVS2hbuiDGEcUHgiCQNHo8JTfciXn8ZJBlmneuoGrf4liHllB4rC14bG0gSeiLB8Y6nLChyysAwFMRv4KhbWkwISd1UjHajNDsIHNOHM3o/zsDUavCtbmUhoeew98RHtt2w7jhCHodvg5Lr96zVEnJAHgdsRcMZfkn6xjht89IfJY2/HYbSBKaov0nYXr2VuEpr0ZQS5Rcfli4Qo0KPpubmk82AGA+5eiDypWqvyEIAhlXnotoNuGoaGHvM8p7YH/AUJSGLseMzxNg72olwVBBQSF6HFxK0kFG90H4QbjuyzwqaJni2rKDgCt6h6tdFYau+moC3tAOxjVZXYJhaL3Xfqww7A/WFALt7ZU4mvYR8IUuPKgNSQhiZyNpW+StigJeL81ffw6A+aQjUGf2TtzztXXQ9NSbND76Ir76ZtSpBobfNYtxj56Lsbh39kWyLONq6KB1TQXtW2twNXYg+/suBgiCQMll0ym6KFgV2Pb+V8ie3gs39hXBTWvS2PBmuGqz88g7/3KKr70V49CREAhgee9Lmh5/Db9dqUL4NVSpyWT/8WpU2em4GzrY8qePei1WCYLAsFtOQJeXgqXWyUd/3hR2kVaUBM59eAKF41Job5e56rI2mhrDlwDg8wfjlWJYYZhWaCBzgJGAX6ZtXUVU506fNhBVkg5/azuurbujOnd/RjuwkJz7rkczoICAzUHt2y/GOiSFBMA0fQKp558MQPO382jfsCbGEcUPksFIzlkXUnDFtRgGDSPtiGOwFgc3QXIgOklhiUyXlau+oBhRo41tMGFE2yUYxmmFoRwIYO+s4M+ZOTosY6ZPG8i4R2ejMuvwlFdT/9dn8DaGftAsaNQYDwnG2LG5564DKnNQMIy/CsPfPiTpqi7UFOUiaPbfT9L63QoAso4ejiYlcq0gIkHtZxvx292o87IwTOp7datCfCCZTWRcfR4AtZ9vonnZnhhHpBAqgiB0u73sXpb4BQAKCgqJgyIY9mc6LUl72v+rP2EanIU+P4WA24dzY/RsSVUZqcFG4f4ArprqkMbSZgf7IYYqGGr7kSWpIAiInQJfwB+6JYMgiIye/SeG3PMw6uSUkMc7EJYVP+Bta0FKMZN88lG9utZb20j9/U/gWLMFRIH8Mycw5eU5ZB874oDZoAGPD+uuBuq+3MKepxaw8ZZ3WX7W06y66Hm23PUhG296h1UXPs8PJ/2HlRc+x8ab32HH3+dT/vIyHNW9s2stOn8KmnQT/uY2Or5b3qtrPdX1eKvqQZJI6rQRDTfanHzyLvodWaeeAyoJ54Yd1N33BO7y0F6v/RXJbCLr1jmIZhP2vU1svfcTAp7evfZUJi0j7zkFlUZk56JGlr0S/koqtU7i4icmk15koLbaz9zLW7Hbw1MN11VhKMWwwhBg6JGdtqSrQ69g7w2iRkX2sSMAsP2wNqpz93dUqclk3zUXw9RxiMmhVZUoHDyYTzwC80lHAtDw6bvYSrfHOKL4wjBgMAWXzUXU6gDoKIIdC56hcun7+Fz2GEcXv6QPmUzJTX8m86QzYh1KWNHlxneFoWvrbvxtHaiSdGRMHxS2cc0jcpnw2AXBypSGZpr+/hSe6tD2lADGQycAYNu2iYC3Z4mBXYKh12EJef5Q+XmF4W+v65zVwZYg2oH7tyP1d9hwrA26quSfPj7k+KKJ3+Wl+qOg8Gs++aiD8syoP6IfPQTzicE1wq5/f4OnTXnfS3RSJ5cAsGd5fygAUFBQSBSUVUF/pnNBvL/suf5K0JY0WGVoX9M3a8S+ztttS1oV2qFulyWpy9IQUmZ0lyWpw9nUL+wXRUEFhC9bXGNMQZAi35je19FOy5JvAUiZfRKirufZ257qepoeeQa/xYqhOJ1JT1/M4OuOQWXa/xieNgd7X1zC6tlPsf7aN9j1z2+o+XgD7Zur8VldiCqBzIEmUgv0QbvFgIy70Ur7lhoav9/BvjdXsu7Kl9nz9EK81p5ZwEp6NQPmBO14rPMW4Lf2fJNiX7ERAOOQEUj6yGXoCoJAyiHTKbryD6hT0/A3t1H/1/9i/X5Fv3iNhBt1VjrZt85BMmho31zNjr/N73U1atKQbAb8/hgAvvlPKZXrw9+43Zim5dJnppCaJrJ9q49brrN09x8Mhe4ehlJ8CIatq8qRA9F9nubMGgOAc+O2sFmbKQQRNWoyrjmf7DuvinUoCglEyrknYpw+AQIB6t5/VbG03Q/OynKclXtpLl3Jlo8eonHbEqXi8DfQpKV3W3j2F7Q5+SAI+Ns68LdH3k2kt3TZkWYdMxxRowrr2IbCNMY/dgHGQZl42xw0PflmyD0NtcMGIKUlE3C5sO/e0aNrNBlZaLJykDT6kOYOCz20JO2uMDyAYGhbvAbZ6ydpeC5Jw3LCEmK0qJu/Ba/FiSozDeO0yCRqKsSGlLNPQF2Qg9fiZNe/vlH2twlOyrhCREmgpdJOa7XijKSgoBAdFMGwP9NtSXrwCYZAdx9D1+adBJyh97vrKV2CoXNfRUjjqJJTETQa5IAfd0ffs4m0SekYM4tIHjCGQCDxm193WYjKYagwjCbN381HdnvQDCrq1abMU1lD0yPP4LU4MA3KZPy/ZmManLXfa1yNHex5cgFrLn6WqrdX47b5MKSoGTg1nemXDuCsv47jug8O597VM/nDZzO49atj+Mu6k7hjwbHMfXM65z06gRNvHc6QwzIJ+GRqPlrPhsufo+bj9QR8Bz5kyz5+FKZBmfjtbto/+a5HP6ccCGBfuREAc5jtSH8LXV4BRdfcinHEaPD5aX39U5qfeYeAM7o94hIBTXEeGTdchqCWaF66m91PfN/rzWfuKWPJOno4Ab/Mu7dviEg/w/QiI7OfnIZOB4sXuLn/z+0hb5K7bjViDC1JAYonpqE1qvBaHNh2N0R1btPATJKG5SD7AtiXrY/q3AcDgiCgUioMFXqBIIqkzzkH3dhhyB4v1W89j6tOqZT/NQwlAymYcz2a7FwCTgdVKz9h24ePYKnYohyi/oQu+9b+hqjVoknPBMBTWRvjaH6O3+bAuWEbEOw9GAm06SbGPXIumgwTvvom2t78LKTxBFHEOG08ANYe2pKmTp9ByfV3kD16RkhzhwNZDtoXi3rDb1bUyT4f7s77qXbQbwuGst+PdeFKAPLPGB/2WCNJwOOj6t2gpbX55BlRSZ5ViB6CWkXG3PMQ1BItK/ZS/+WWWIekEAIqkxbT8GAxQdkKpcpQQUEhOiiCYT9G7rYk7Z8bwANhHJiJvjAV2evHsaFnGZDhoLuPYVVFSAcRgiiizQrdllSUVAw/7Q8MmHEhkqTp8zjxgigGs2/DYUkKYK3bQ90Hb9CyuGfCVl9wVlfSsTG4KUu76NQeW76491bR9I/n8HW4SBqWw9hHZ6NO/u3KO0d1K6WPfs3aS1+g5pMN+NwBCsakcNETk/njD8cz58VpzLpjJBNPLyB3eDIqzY+bQ1ESMGfpKByXypgT8zj8ikFc9uwULnt2ClmDTTjbvex5aiFrr3qVlpVl+31uC6LAwGuOAsC2aBXeugPb4bp3V+JvsSBqtRiHjezR7yccSHo9eedfQebM00AScazaRN3/PRmWXi+xIODxIgfCY8X5v+hGDCL96vNBgLovNlP5+opeXS8IAkNuPh59fiodDS4+/UtkDmsLx6Zy9iOTEEV4/20nT/7bFtI83s4KQ0kd2/dSlVpk0KEZALSsin41UW5nlaH1hzXKIbuCQhwgqCQyr7sI7dASZKeb6jeexdMU3WSCRMFQMpDia24h67RzkYwm3B3NlH3/CrvmP43XqVRNN25fRs3bL2Hb1T/tbbv7GMaZLalj5SZkrx/joMwDJgOGgjpZz/A/ngRC0Frcvjo09x3joeMBsO3aTsAdvaTccKDS6hn0xwcYfNeDvymSuRvqkH0+RKMeVXbGb47l3LADf2s76hQ9mUcOjVTIEaH+m+14WmxIqWZMh02KdTgKEUBTmEvyWTMB2PP0Ipy1ltgGpBAS3bakKxK/zZCCgkJioAiG/ZmuA72DVDD8qS2pY9WmqM2rKcoDScLvsOOzhGa7l37UTPIuupKk3MFhii7x6RIM5UB4BEOPvR3r5vU4ykrDMt7/IgcCNM3/GADjYRMP2AujC1dpOU2PPo/P5sY8Ko+xD5+DOkn3q4/1djjZ+dCXrJ3zMvVfbcXvkxk4NZ0rXpjK3LemM+LobMQ+3geGHJbJdR8cwWn3jsaYpsFZ1cbWuz9hz5ML9ntd6oQi0qYNRPYHsHz0zQHn6bIjNY0ci6iOrrAtCAKphx1F4RXXoTIn46trov6Bp3HvrYpqHL3F32HDubmU9s8W0PjE61Tf+hBVV99D9R/+StMz72BbviHs9pHGQ8aQdskZAFS+toLaz3t3b1UZNIz40ywklcC2b+tZ92Fkfscjjslh1l2jAHjqPzZmn9bCpg29r2gMBGQ8nZfF2pIUYOgRwSqJ1ij3MQTIPHo4ok6Nr64J957KqM+voKDwS0SthqybLkdTnE/Aaqf61WfwtiVmwkukESSJlMmHMuCmP5F25HEIKhVe3DiHGmMdWsyxVGzGvmMr3tb+WbnQ1cfQXRlfgqFtWbBCL2fm6AP2Iw+V1PFFFF0wFYC2Vz/EU9P35AJNYS6qrHTw+XHs3dPj637WPzCO6bYjHVC4379Lx/fBXu25s8aG3U42kvidXqreWQ2A+cQjEdSJE7tC7zDPPBztsAEEXF52/G1+r/vQK8QPaZOCRQllK5vxeRPjXqqgoJDYKIJhf0apACD7mOEAODfvxFsfnWwcQa1CUxS0DHDuC+1Q1zh0BKZhI1HpQj/MkAN+vN7E9zxXqfRIWkPYqqi6freRypC1rFqKq3ofgk5Lyjkn9ugax4btNP3zRfwOD8ljCxj70Nm/2a+wbcM+1l79Gg3fbUcOwPCjspj75nTmvDiNQdMywnIAIalEpswu5uZ5R3HEnIEIAtR+uhHb3v2/pgrODmasHsgCSvb5cKwJWqUkjY1dlqu+aABFV9+ENjd48Nrw0HM4N0dGSO4rst9P69tfUH3L36m+8UEa//Uylo++wbluG/4WCwABqx3Hyo20PPcu1Tc+SN1fnqDtw69x7aoIy+sm6ZhpJJ9+LAC7H/+O1jUVvbt+WA7FVxwBwPyHt9Oyr+d9LnvDtAtKmHnLcAwGgS2bvJx3egt/us1CS3PPe1fN/9yFwy5jMAokZf26YB9NhhwWFAxtu+rx2aNrnasyaLqtvu3LNkR1bgUFhd9GNOjIum0O6rwsfB3tVL/yX7wdlliHFbeIWh0Zx82i5A93kXPWBQiiiLVYoD3Hzb4VH+O2HlyCq6O1FmvdHhAEjENGxDqciKArKAKCbhbxUiEvyzKeqjoA0qcNjMqcxZceinlUHn67m4aHnw9pb6wfF0zKtW7beMDHyn4/lc/+mw2v/6lPFb325ioql75P1cpPqNvwLY3bl9JatoGO6lL8HmevxzsQzup9wP7tSD1Vdbh37AVRIPeUsWGPIZLsefJ7XPXtSClmTEdNiXU4ChFEEEUyrpqNyqTFurOO0n98HTf3QIXekTQsB02aEVeHj83z48teW0FBoX+iCIb9mS6h4CBeFBiK0kmbNhBk6PhySdTm1Q0bAICzIvq2cb9G696NrH/lj2zb/m6sQwmZQyZdy/iLHyApd1B4Buzu9Rn+26GntZnm7+cBkHreLFSp5gNeY1+9maYnXifg8ZF+6EDG/P0sJP0vK+4CHh9lzy5i8+3v42m2kVFiZO5b07n4yUMoHJca9p8FQJekZuYtIxh5XNAqt/H7/Vv9qgzBuGX//gUa995qAnYHktGEYUBsq2lV5mQK51yHYXCwL1Tjf17FtmRtTGPqQpZlWl75GOvXS/G3toMgoM7IImnsRDJmnkbBFdcy8I77KZhzHWlHHIs2Nx8IWnB1fL6Qhr89Q919j+PaGfp9KfmM4zAdORlk2PG3ebjq23t1fcG5k0kZX4jH6ef9P27E74tMpuQRcwZx4/xjmXBGsLrgo/ecnHhUE6+9ZMfn2/97o8sl86+HrABMnzMErSH2GdjJOXpSC/TIAejYXhf1+bOPCR4mO9ZsQfYpWcoKCvGClGQk6/YrUWWl421rpeaVZ/DZrLEOK65RJ6eizcnr/t6yehlN25ey9YOHqPjhHVztB4ftV/3G74Ggw0NXr7/+hja/CEGtJtBhw1vbGOtwAJDdHujsC65JjU6Vq6iSGP3AGRgHZRLosAVFwz5a8BsPnQCAbeeWAyZdCpJEwOFA9npx9aHNRvWqz2guXUnjtiXUrv+KqhUfU77oDXZ//VyvX6deRwdVLz5JzRsv/OZjuioMtYOKfvMxHd8sAyDziCHosg68v4sXGr7dTv3X20AUyLjmfERt4rcrUdg/qoxU0q69BEESaVy4k8rXetdSQiE+ECSR/LMmArDkxTICgYP3jFdBQSE6KIJhf0YRDAEoOj+YOWdfvg6fpSMqc2o7BUNHRVnIY9l2bqV8z1ch9VhRG8wgB3A4Do7Dj97QlWUXbisgWZZp+PQ9ZI8X7fCBmGYccsBr3BXVtL7wHgRkso8fyai/nI6kVf/icfaKZtbf8BbV7wetjCafW8S17x1O4djICIX/y4hjg4Jh69qK/T5OUHf2BvHtXzD0lAdtKXWFJT3u7/hryLJMwOvF73Tg62jHb+/ba0bU6si/6ErM4ydDIEDLix9g+ez7mGdkWt7/CvuStSAIZJ95PoPu+isDbvwjuedcTNphR2EYMBiVKQlDySAyjj+Z4t/fysDb/0LOWReQNGYCgl6Lt6qehoeeo+mpN/E1t/U5FkEQSLvkDDQDCvBZXWz7v897ZXMjiALD7jgRXZKK6s0WFj/Xc0ur3mLK0HL2g+O4+o3p5I00Y+2Q+dtfOjjzpGYWfe/6TeHwtRft1Nb4MWfrmH5pdLL/e0LxxDQA2rdUR33ulPGFqFMNBOwOnFt3R31+BQWF30aVaib7jiuR0pLxNDdS89qz+B2RqeDuj+hLBmEYNCz4vr97Dds+fJjyRW/itPTfvpAuSwNtFUFr8fQZx8c4msghqlToC4N7M9eO0Pdm4SBgC7q+CGoJURe9hCS1Wc/Yh8/BUJyOv62Dhoef79N6UDOgAFVOBrLHi3X7lgM/Pju4d3C29S7ZKeD3YW8KVvwV5E8jL/cQMjNGkZIyEJMxl9SG3glefq8bZ+VenPt+PXnO77DjbQnulzW/0UbC32HDsTLotJB/duL0/3NUtbLrse8ASD79WHTD42dtqxBZ9CMHk3rpmQBUvr6Chu/6Z7/a/k7eKePQmlQ07bVRujg+kl8UFBT6L4pg2J/pFEAOcr2Q5NH5mEfnI3v9WDuzASONdmgJCALeliZ81tBEyqZvvqB18bc4mvve60uXHMwYdrnb8fu9IcXT7+jqpxFmwdC6aR3O8j0IGjXpc84+oBDmb7fS9HiwsjBt2kCG3X4igvTza2RZpubj9Wy87nXsZU0YUjVc9PgkzrhvDJpeVD/JsozfF8Dr8uNx9tyesYsh0zMQBLCXNeFu+W1RTlQF45cPIBi6y4PChy6/Z/0d/5e25YvZ/cCd7P7Lbex54E7K/n43ex+9n7KH76X61Wdx1/e+Z40gSWSfeQFpRx4HQPtH39L62idhs8LtLe3zF9MxfzEA2afPJnnCFCTdgS0yVUlmzOMPIffcSxh4459JPmQ6CAKONVuoveufWD7+loC79739IGi/nHn9xajMOmy7Gtj9xP77Wv4vuiwzA244AYBFz+6hanPfBcyeUDQ+lWvePpzT7xtDcorA7lIf11zRxuGTGrj7DgtLFrnweIJvmC3Nfp59KvjcPv4Pw9DopYjG1htKugTDrdHvxSRIIllHB62+7Ss3Rn1+BQWF/aPKSCX7jisRzSbc9bVUv/4cflf4Lfv6I/rCEgoum0vhVX/AOHQkyDKtZevZ/tE/2Lvg9YTpv9Yb6jZ9D7KMcfjon1Vb9kf0nQ4W7jgRDP2dgqHarI94/8L/RZNiYNw/zkVfkIq/xULDw8/jt/SuIlkQBIzTg1WG1k3rDvh4bVZnu47W3gmGoqRizOw/M3rUhQwZfCrDh53JmNEXMXH8lUw55Ab0+mCypN/Ts9YSciC4JxHEX1/XOTurC1U5mUgmw68+xrpwFbLXT9LwHMwjcnv188QKWZYpffRrAi4v2hEDST71mFiHpBBlkmYcgnnWDABK//lNTPYRCqGhMmnJOiVYZfjDC3tinsysoKDQv1EEw35M995DeSOh8NzJANh+WIPsibxgJhkNqAs6MykrQ7P/0+UFrfQczX2vJlHpTEgaPSDjdDaHFE+sqapaxq75/6Vlz4E3pz2he6EVQmXb/xLwemj+fj4Ayacdizorff8x+Hw0PfkG/tZ29IWpjPjjLATx54cHAZ+f7Q98wZ6nFuJzBxhyeCY3fHwEI47J+c1x7a1ulrxUxuOnL+aBaV9z/+QvuXf8fO4ZM5/7xn/J/ZO/4v8O+YrXfr8aa1PPezga07TkjkgGoG1d5W8+TlAFN+Oyf/+VZ55uwfC3rX/+l/9dIMte78/vdZ03QEdZaZ/FYEEQyDhuFlknnwWCgG3hKpqfevOAAmi4sf2wBst7XwKQcfwpJE+c2qdxJKOJ7FPPofj3t6AvGYTs9dH+6ffU/ulf2Fdv7tOmQ5WeQtrci0AUqP9yC3XzN/fq+qxjRpB19HACfpkP/rgRtyOyNpeiJHDIuUVcN+84pl8yAEOqBkubzAfvOLnq0jYOn9jAnTdbuPeP7dhtMnkjkxl3Sn5EY+otXRWGHTvqelXVGS6yOm1JXRu3EXBFt4+igoLCgVHnZAZFQ5MBd00VNa8+q4iGvUBfWEz+xVdSdM0tmEaMAVnGZxKwlfwoMPQH8dDd0ULr3mCVVH+uLuyiy/LetbM8ZslfPyVgC1b/qs2x6Y+sSTMy7tFz0eUm42tqpeWVj3q9DuyyJXWU7z5g31Rtdqdg2MsKQwg65WRljv5VYdXv91I672k2vXlvj9x4ugRDpF8XDN11wd5gmpJfX/vJXh+2BSsBKDhrYtTF3r7SvGQ3HdtqEXUqMq46LyRHF4XEJeWcmRgmjUL2+tn2l09xNUTHfUshfBScNRGVRqRqk4XK9ZFNtlVQUDi4UVYK/ZluS9LYhhEPpE8biDbbTMDmwL66dwfafUU3PDy2pLrcTsGwpe9ZYIIgdFcZOhyJLRg6nM1Y6/bg7giTvWoELEktK5bga7cgpSWTdMJhB3x86xuf495diWTQMPr/zkBl0v7s/wM+PzsenEfzD7uQ1CKn/GkUl/73EJIyfnnIIMsye1c38+5t63n02O/4+l87aSyz4bb58LoCBH7FfnHXkiaeO3shOxb0vK/IkMMyAGhbU/GbjxE7LUn3J7D57Q58DcH+KV3i+P6QZZmWxd/S8Mk7yLJMUqVMXsZkRs/+E2MvuI/xlzzIhMsfZuIV/2D07D9ReOhZaLN/zJpvnPcRTV99htfS2pMfE4CUqYeTe95loFLhWLeN5mffOWBfxnDhWLeNlpc/AiD1sKNJOyL0jGBtTj4FV1xL7uxLUSUHs8ubn36LlufeRfb2XoDSjxpCylnBSsHdTyzAWtq7/jSDbzwWbaaJln0OvvzRWcp0AAEAAElEQVTH/vtihgtDsoZZd47kzoXHMuelqUw5rwhTupaODplPP3Ty/TdBIeyk20cgivF1GJQxwIgxTROsmt8Vfau8pGHZ6PNTCLh8ONYrlkYKCvGIpiAnKBoaDbhq9gXtSRXRsFfo8grIu+AKiq+/g/RjTgTAWizQYmxi6/sP0bD1hx5XNcUjGlMKOWeeT/KUw/rs8JBI6PILETQaAnYH3ure99ELN12WpOpkfcxi0GYkMfr/zkBQiTg37sC+YmOvrldnpgVddWQZ6+b1+32splswrA+r4C5JarA5kQN+2qsOvCbprjD8DcHQ0xgUNDUFv56QaV+9GX+7FU26iYwjh/Yx6ugS8Popf3EJAEkzZ6BKS45xRAqxQhBF0q8+D3VRLl6Lk633fILf2TenGYXYoEkzknnCaCBYZaigoKAQKRTBsD8jdNoBKg1xESSRvFPGAmD9PjqNnnXDgn0BnCEKhtowVBgCaJOzALAneB9DSQqKaX5veBa3KcWjGHz338m/5OqwjOez22hZFuwPkXL2TETNL3sQ/hTrwlXYFq0CAUb8+WQMhWk/+3/ZH2Dn3+bTvHQ3klrkoicmMe3Ckl8InI52D8te3ctjpy3mpTmr2PJVHV4vjB6r5oGHk5m/MJPvlmayaFUWS9dlsXJzNmu3Z/PpNxmMGKWirTXAmzeu45P7t+DpQZXXkMODz6fWdRXI/l/f+HdVGOLz/2bWsqc8KISr09KRDMb9zikHAjR99Skt339Jx4Y1yMt3AqDSGtAmpaM2mJE0ekRJhSAIaJPSyRp5GEmVQWFRt6Mdy9oVtC1fRMVjf6d9/eoD/pxdJI0cS/75V4Ak4VizhZYX3o94hrprRxlN/30bZBnzxClknHBK2MYWBIGk0eMpueFO0o+eCZKIfcVGGv7xAn5b73temWfNQD9hRDBj9f7P8LY7enytOknHsDtPQhBg7fv72LEweiKYpBIZOCWD0+4Zwx0LjuV3r0xj2oUlpBcZmHZhCQMO2X91cCwQBIHiCUELrpjYkgoCWccEbUkdii2pgkLcoinK+1E0rN5HzWvP4XclrsAVK7RZOWjSM7u/t6xZjsfaQvWqT9n83gPsW/ExjtbaGEbYN2wDVJjHTSb7lLNjHUpUECQJfVFXH8PQ3F/CQZclqcocO8EQwDggg+JLDgWg/e1P8Vl6V3HUZUvacQBbUk16JoIkEfB58Nh6VhUjyzJ7F7xG3YZv8fl+29EgMyPofGCp3HrgMQ9gSepuDIrJ6oLsX43H+s1SAPJPH4+oih+7+v1R+8UmnDUWRLMJ80lHxjochRgjajVk/eEy1KkG7Hub2PHQl8p5YYJReO5kBDGY9F1fqlSJKigoRAZFMOzPKJakPyPnpDEIaglPeTXuvX3vB9hTtENLAPA01uO3H9gi5TfHyQ1aonjsbfhcfR+nu8IwwS1JJSkowAW84bHCE0QJUaNF1GjCMl7rom+QnW40xXkYDx2/38e6dlXQ9sanAAyYczjpU3/efF72B9jx0HyaftiFpBK48D8TGdop1P2UXUsaefqU7/jyHztoLrdjMArMvtDAh/My+OCLDM69wMDAQSoKilTk5EpkZEqkpIiYTCLDhqt595MM5sw1dgs2T89eSs1Wy35jLxybgtaowtfhwrr715tui+qfvMX8hqjYbUeat//sdtnvp/7jt7Gs+AGAgqmnk1wwfL/X/C8qvYnBx1yOKWcgst9Pwyfv0Pjlpz2uFjQOHUHe7Mu6xbWWlz+KmGjorqih8bHXwOfDOGI02aeeGxHbI1GjIf3omeRffDWCXod7VwX1DzyNt753iQWCKJJx5WxU2em4G63s+Nv83xSSf43U8UXknzMJgE/u24ytOfpWl6IkMGByOqf8aRQ3zz+aU/40Kuox9JTiSZ19DLfEpv9IVx9D59Zd+Dv6/r6koKAQWTTFeWTf8TtEox5XdWVnpaEiGoZCxnGzyDrtXDQZWQTcLpq2L2XHx/9kx2eP0bRzJYED2LDHElmWqd/8/+ydZWAc19mFn5lZXi2IGSwzMyYOOOyAw4wNc9I20DRNm+ZrkqZNg03DDA46cdixY4pjx8woW8ysZZzvx0iyZeFKsmWY50+bnbkzd2Vpd+4973vOz9TY6vp6Kn3CXlvSvs8xbO4w7CNL0n3JuHQSUYMSCTq81Lw9JyJrUtPEkaCR8JeX4itrXzgXJAnTwKFEDR3Z5eduX30ltbkbKFs/H7EdgQ8gLm4YAA3FOwkHOy4o7ajDUA6FCFQpaxptamvB0LczD39+CaJOQ/KZo7r0HvqaoNNL/ntKsbT9vFMQDfpORqgcDWhi7cTefg2CVqJ6WQ55by/r6ympRIAxNZq46UqH89I3+/77TEVF5chEFQyPZBo3l9UwXAWd3UTC8YOBg9NlKFmj0KYo4o67BzmGksGINkaxf3RXdX9z2JyQSXT2GKJt/bp9jUOBpg7DzhaEfYG/upK61b8CYL9kZof5EMGaempeehc5FCb+hMGkXzqpxXE5LLP9Xz9QuXAHkkbgsmfHM/j4lotXWZaZ/+IO3r11FXW1Mv0HaPjb41aWrErg70/aGD6y4+7GJnR6gfv/bOWtD2NITBKpynPx2pXLWPlJ+/mEklYke7LSfVW7Oq/Nc4R9Km/b2xzw5Srivb6D/EI5GKTko7dwbFgDokjWcZeROCLyCllBELFlDGPQzFtJHqtYaNYtX0zx+68Tcnetqy5q6AiSL7gSBAHX0tXUvD+31z9jwx4flc+/i+z1YczqT/KFV7VrndRbmPsPIuP6u9DYYwiWV1P22P/w7syL6Bqi2Uj8HVch6jXUrskn793IPmf7XXcs5ux4XDV+5jzSvUzFo4WsxhzD+s3FEQmzvYUpI5aogQkQlnGv7ryiX0VFpe/QZaY2dho2iobvqZ2GPUHU6rBPmErmHfeTetVNRA0frbgPVBZQvP57nBmHlo11E7IsU7Z+PsWrvqXw9RcI+46+DFrjIZRjuFcw7NsOQ1CceIbcdzqCVlKsSZd1bC+6L5LZhGm0UkTUsGF1h+emXv47Ui67DoO9dfFjWzgrcgGwWtIQRU2750WZkzAYopFDARqKdnR8URkEnQ5B23qNFKipQg6FEPQ6NLH21vP5RemiTDhpaJ9ayUZCwUcrCTZ40aYkEHXchL6ejsohhH5AJjHXXQhAwYe/UT5fjRk4nGjaO9r0Qyk1RV139lFRUVHpKqpgeATT3I2iWgw0kzJrDADu39YTrK474PfTD2m0Jc3tmb94U7abu6b7gqE1ZSDZJ15FSsrEHs2lr2nqMAz1UodhQ8lOyr74iNoVS3t8rZrFP0EojGHUYIzDBrR7nizLVL/xGYE6N+b+8Qz+w2mtusfyP1hBxfxtiBqBS54ex5ATWouF3z6xhUUvK79bl19jYs73cVx6pZmoqO59tE85Rs9X8+IZPU5LMNhxxZrfHaS+TMlD8pTUtXlO9a/K3ASt1GZ3XKjegXeLco4xLbPde1XO+xrXzq0IGg39T7qO2IE9W/AKgkjKuNPInnE1glaHe/cOCt/8b5c3jywjxpB0weUgCDh/XoFjXu9WZToX/Uaoph5tdAwpl1+P2MamxoFAn5BExk13Y0jNIOxyU/Gv13GvjyxTUJeeRPQ1ir1ZwYcrqNvUdStlUadhyINnoNGJ7FhSwabvSyO699FE0hArOpNEyOXDXdD1PM7eJGGGYgHm+m1Dn9xfRUWl67QQDQvz1EzDXkAQRcwDh5ByyTVk/+ER4k47h5jpJyFoNDgyBRrSZbbOeZr8ZZ9RX7S9TzsPAx4nu396k5K1PwAQPe14RP3R12lkSE5D1BuQPV78e3oW9dBTwj6l8FHUty+EHUz2tSateeeLiIrGzMeMA6Bh3SrC/t4r6PTUKM+BVmvHLiSCIBAXqzyT1Bd2/NxqSRnAwIefJPOW37c61mxHmpLQquhTDofxblTEyPgTDo/swpo1eRR+qoi49ovPOODFhyqHH1HTxmI98wQAtj/1A1XLdvXthFS6jGVgItHjMwmHZL5/aqtaaKuiotLrqILhkUxjd0842LcVlIcS1qHJ2EalIQfDNHy3+IDfzzh8IACunE6qHTsh5sTTyLrrQRJHntDjOdX3P7w3CERBWVg3Wcr0lIaiHTSsX0WgpmdWrYHaaho2KhW59nNP7vBc55LVeLfsQtRpGPaXs5CMLQWhqmU55L+jdCrOemQkw05KanE8HJb5+rHNrPgwH0GAvz9p45HHbOj0Pa9qDwZkcnOUTa0pl2W1eU44JPPJ/eso2dqAya4l4/LJrc7xlNSx81kly9E68wSENrIc6+f+jOzzY0jNwJDR9r08hXnUNYq52SdchT1jWDfeVdtE9xvNkLPuRG+NI/aEUzvsCN0f66jxxJ8+C4Da2d/i2byzV+Ykh8M4Fv6mzG/6SUiGg2tVpYmykHbdbZgHD0cOBKl8/j2cyzrOpdmfqGljMU8fDzLseOoHQp6ubx5FZceTdvkUAL57aiteRyCiex8tSBqRlGE2ABy7Dl7m477ET1e+33y78lRbUhWVw4C9oqEJb1E+RW+/3OXuepWO0URZiDnmBKKnHd/8mrcwH09NCVXbl5Pz42ts+OARdi94m+pdq3oUMRApDSU72fbl09QXKoVXCWeej33q0ZljJkgS5oGNGbzr+rabRrJFAeCvOXT+BjMumUjstP7IgRDVL7yNv7hrzxfG0UOQ4qIJuV2ddhnKsoy3vhJZ7nx/IuRXihq02o4zzgFiYpRCzYbS7gse/krl/bZlR+rPKyZU70Ay6bCP6ljA3J+albkUzVl7UB0hPCV1bPu/byEsY54+AePoyGIcVI4e7BecqmSRhmW2PvYN1Stz+3pKKl0k++bjETUC234uZ9uCvlkPqqioHLmoguERTFMVWV/YlR3KNFVPOpesjDjYPVIMw/qDJBKorsTfA0FKH5+ILi4BQejZn6wcDuNzVBMIHL5V5aKoQRDb7ljrDt56JatCF9c1e5z2qPllIYTDGIYPRJ/d/kIy1OCk4bNvAci6dhqmtJgWx1351ez65zcATLk8i/Hnt7xWOCzz1aObWPlJAYIAj//bxsWXm3o093154u8NNDTIJA+1MuWKrDbP+f5fW9m+qAKNTmTQoxdgSotuOcdAiG3/+JaQ249+UBa2c2a0ukagohrHIkUYizvlzHb/PY3pWaT97g4ypl2APXNEz95cG5hiUhh2/n2kWEY3vxZ0NHQpX8U+ZTrWsZNAlql66UMCZT3PB/Vu3kWwohrBaMA6alyPr9cdRJ2OlEuvxTpmAoTDVL/2Kc5f10V0jZjLzkaKseEtrWfPa0siGpt+8USMadE4q3zMf6FnxRZHMk2CobOPBENDko2oAYotqSfCTlQVFZW+oVk0jDLhKymk8M3/EnQc2GfhoxV9ShqpV96IbeI0JIuVcMBHXd4m8pbMZsOHf6Ny+17bbjkc6vXuAFmW2Tb3OXZ9/woBdwO6+EQybroH++RjD0gm8uGCeehIANxrt/TpPDTRyne4r+rQKbgRJJGhD52JdVgyQYeXiqffJFhb34VxEtbTjgWgdtmidh07ZFkm77nH2fLZk3hrO392CfkVNxmN1Hmxq93WD3vWKJJGnthtu9lmwTCl9ZrQs055zomekIWo7VqnnizLFHz0G5se+oLd/13IjqfnIR8E56eQJ8CWv35F0OFFl51O7FWzjuq/eZWOEUSR2OsvxDRxJHIwzNa/zaV2fUFfT0ulC0Rlx5N2sWJN+u0/t+L39E5BvYqKigqoguERTVN+mBzo/UXo4Yx9TDrW4SnIgRAN30e2kR0potGAfoBitejuYZchgCOzZw/7u358jc2fPE5V9eG7uZuYOJpx1z3FgFNv6JXreet6LhgGHQ3Ur1sJgO3sEzs8t/bT7wk6vJiz40m7YHyLY2F/kG3/9w1+d4h+k2I5476hLY+HZOb8ZSNrPi9EFOGfz9g476LeEwuXLvbx7VdeRBHO/etIJE3rr4jVnxWw/P08AAY9MBPb8NRW5+S+9QuOHWVoLAbibr60TQucui/mQSiMacBgTNkDO5yXKSub+KHTuvemuoAoKV2rlnwZX1kJBa88Q/ncTzv93BQEgYSzL8SQnkXY7aXiP28RqnP0aC5N+aq20RMRdX3XDSxIEonnXop9srIBVP3mZxHZU4kmA7HXK7kYJXM3ULum/TzMVmN1GgbedRIAv83Op3hL55tVRyMpQ60AOHb2XUVp3LFKRb97Td9uvKqoqHQdXWYKiX+6GcluwV9RRuGb/yVQV9vX0zriELVazIOGknj2hWT/8a9k3HIvMSecij4pFWSZ8OAkHJkCjkyBEucmNnzwCDnzXqdk7Y9U71qFoyQHX0NVl6xM5XCIhpJdlK77CVDWC84sESHWCqKIbeI0Mm6+F31SyoF+24c85oFDQJIIllYSKK3ss3lIMYpg6K/s2XNjbyMZtIx47DyM6dGEauqp+M9bzfapHRE1fQKi2Uigpgrn9razjQVBQBut5J87ytqPPWgiFFCyViVN58/DGo2ecVmXEj90WoeOIfVF2yl691WqF81rdWxfS9L9abLoj5vav9O5gFKwnfPCAnLf+AUAQYDyeVvI+e/PB3RfRpZldvz7B1y5VYjWKOLvvLJNlxcVlX0RJIm4my/FOHYoYX+QzQ9/ScPWkr6elkoXyLhsMvoEC/WlHpa83rMYJBUVFZV9UQXDI5l9N+nVHMNmBEEg8wrF8s61aMUBt1IzjlRyDlw523t0nYYNqyn95F0aSrpvfai3KN1sHk91j+ZypBAOBfE5lPwvbVx8t69T++siCAbRD8hEP7hfu+d5d+bhWqrYOw68+yQEqeVHcN57y3HlVmGO0XHJv8Yiafcel2WZL/+2kXVfFSFJ8K/n7Zxzfu+JhR6PzKMPKcLM5MuzSB1hb3VO3poavv4/ZRMg69ppxB8/uNU5NavyKPpEsSOKvvYiNLGtr+PLK8a9Qsk9izvlrHbnFPIqGwWW/Mg/v7qbcanNqSPodNCwbiU1bWwm7I+o0ZBy6bVoo2MIVlRT/vQbhF3d6+ANVNbgacxHsU86plvX6E0EUST+jHOJGjYKgiEqn3+XQEXXPzuMwwcSNUP5rN3x7x8JOrv+bxI9LpOEE4cgh2Hu3zcRDqnfYfvT3GG4u6LPnATijlXEfu/WXYQ93j6Zg4qKSuToUhNJfOgWpFg7gepKCt94EX9134knRzqCIGBISSduxulk3vYHsu9/FGNaRvNxb2EeIZ+b+sJtlK6bR96S2ez8/n9s/vQJ1r39IM7yvOZzK7YsZcsX/2LTJ/9gwwd/Zd07f2LtW/ez6/uXKVn7A9WWvd/T8afPov8Dfyfx7AsRdbqD+ZYPWSSDEVNWY7FLH9qSStFK0Y+v+tDpMGxCazMy6okL0MWYCRSWUT/np07HiAY9UScqz3y1yxa1e54xUxHcnGV7Or1myK88V2ik3rPn9ztqcOdsx1da3OJ1ORwm0PgZuL9gGKyuI1BYCqJAzKT213lNhHwBtvz9a0rmbkAQ4MwHh3HB46MRBCj5aj25b/7Sa+9nf0q+XEfl4p0IGpH4O69s7mQ9FJD9AfwFJbhWrKfuqwXUfv4jtZ98T81H31DzwVyq3/2S6re+oPqdOdR/uwjXqk3480sIe7q3plOJDEEjEX/r5RiGDyDsDbDpoS9w5lT09bRUOkEyaul/q1KwvvTNPVTlHzo21yoqKoc3h0bKtsoBoanDEBSLQElS9eEmoidmYRmUiGNnOQ0/LCX64jMO2L2MIwdR99mPuPfsQg4GETTd+7Nz78nBsXk9ZikOa0r3wtb11jjlWqpgCIDPUQ1yGEGnR2Pp3oIq5HZRt1rJG7SedWK7li9yMETNu3MASDpjZKvOvIatJRR9rHQpzvrrSKJiW1bTLn8/j7VzFLHw6RfsnH6WsVvzbY+XnnVQVBjCmmjg5DtbC4G1xW4+vGcNoaBM/PGDyGgU3ffFlV/NtscVu9WoGVMwjR/e5r3qPvsBAMuocRiSW3coAniLCyh86yXsk48lauDMLlvpuKuLqdiylNq8jQy/4AF05kbLJ0c1sixjaPwbaA9b+lAypp5PwbLPqF74Ixp7NLaxkzoco7FYSb3mFgpff4FAYRkVz75Nwh+vR9RHtjnnXPgbyDKm/oN6bJHbWwiiSNL5l1NYV4uvpJCKZ94m+eHbEM1d+/2LvvgMvJt34auoZvf/FjL4vtO7fO/+t55A/aocirfUs+rTfCZfmtXNd3FkEpcVhc4o4fcEcRfVYs6MPehzMGXGYsqIwV1Qg3vdNqKmjT3oc1BRUeke2oRYkv58K+VPvU6wTBEN0665GX2i2oV2oNFEWVr8d/ypZ2MZNQ5vQR6+ilKC9XUE6moJ1tciB4P4B9lw2JXnINduN97aslbXlMxRmAcPh326l3QxB/974XAgaugI3Lt34Fm7FdvM4zsfcABoEnL8NS7CwRCipms2lwcLQ5KNQb8/lc0Pz6Fh3i+Yp45Bl9n2M3sT1pOn0fDDEryFeXgKcjFmtBbXjJnKa87yXGRZ7vD5fvBZdxAOeLF30R2xKR/RWbab2EGT27x2U8fu/uvxQG21sk7XatDEtYxaaLIjtQ5LQWvr+Pk3UO9m81++pGFrKRqdyEX/HMPwU5IB8HtCzP37Zgo/WonGqGszA74n+Kqc5L61DAD7JWdiGJjVq9ePhJDDhXfLLvyFZQRKygmUVBCsqGnx+RQJosWMJiEWXWoixtGDMQwfiGjoOyeWIxVBpyX+rqup+Pcb+Hbls/HBzxjzn0swZajfJYcycccOIHp8JrVr8vnuyS1c9dJE1YZYRUWlx6iC4RHMvjaAclDNMdwXQRDIuGoqW/7yJc6ff8U68zikqM4D1buDNj0Z0RpFuMGJpyC3U/vF9jCkZdCwbiXuqu57yjeJJYdzh6HLVU7OTz+hNVjInH5xj67la7Yjje/2Q1Xdb78g+/xo05Mxjm4ttDXh+GkZgaJyNFYD2TdMb3Es5A2w/akfkMMw5uxUhp2U1OL47hVV/PhvpQr6gYetvS4W7tgW4M1XlWq0sx8egd7c8qvB5w7ywZ2rcdf6iRqYwOD7Tm/18/JVOdn0p8+b8zKiLz2zzXt5tubg3bwLJInYGe0L9dVL5iP7/QilDQiDOv63kcNh6gq2ULFlKc59LI68q9eiO16puCvftJjKbcsw2BKwZQwjut9ozPEZbV4vfshU/M5ayjYsoPyrT9BYbJgHtP9vC6CLiSPtmpspfOtFfLvyqfzvByTcdVWXCwRkfwDnklUA2Ccd26UxBwtRpyP1iuspeOVZgqWVVL70AQn3XteiKKXdsQY9sTdcRPkTL1P24xbipg8kdkrX7Jx0MWbSrz2OnBd/5qfndjDs5CQscb1XZX64I0oCyUOt5K+txbmzvE8EQ0EQiD9+EPnvrcC9aqMqGKqoHGZoYmwkPXQz5f96g0BhKYVvv0TalTdjSG0/i1ml9xE0GoxpmRjTMlu8LssyIbcLybjXUcI6ejzGzGxErQ5Rr0PQ6hF1OiSTuUMrRpW9mAcPh28+x7e7gFC9A8lm6XxQLyNazIobUCiEv9qFIdF60OfQGbFTsok/fhCVi3dS/dYXJD1ye4e/Y5LdQtS0sTiXrKZm2UJS2xAMDWkZCJJEwN2Az1HdYSGfKGkQpSgkqWsdZrIcYtsXTxMOBzAnZGGMTmp9TrhRMJRaPp835RdqkuNbvccmO9LYqdkd3t9TUsemh77AU1SL0arlihcnkDVub1b9pIsz8buC/PD0dnLf/AXJrCN1Vu89N+15dTEhtx9ddjqWk6b22nW7SqCiGs+6rbjXbsW3M69NcVA0GtHHJ6GNi0fU6pT9KlFEEBv/V5KQg0ECtdUEaqoJ1FYTcjkJO1z4HS78uwuU9ZJGg2FoNqYxQzGOGdqmo41K9xD1OhLuvY7yf76GP7+YDfd/xphnLsWYfOh0q6q0RBAEBtw5g7U3vM3OpZVsX1jO0BmtP/9UVFRUIkEVDI9k9ukoDAfVANz9iZ2STVT/eJy7K3H8uAz7BacekPsIoohxxEBcv67DlbO9+4Jh4+aNq7Kw04rM9tDbFNtNj7u629foa4JBH/UFW9FZer45HvA6QRS73c0V9nmpXaHkYNrObr+7MFhdR/1Xip1P9o3HtapOzX1jKZ6iWqyJBs58sGVXXk2hmy/+uJJQCM690MhVv+s9G1KAUEjmkQfrCYVg2MlJDD0xscXxcFjmswfXU7bTgTbaxPBHZyEZWmZhBJ0+Nv35C3wVDjSJcSTcey1iG3kZsixT96nSXWifMLXdyndfRRmubZtBEEgaPaPduYdDQSq3LqNi6y/4nYq1LIJIQvwI0lOnYbNlwG5lk0GqcYMg4q2vwLupgvJNi0gafTIp409DEFpvfqSMPx2/s4aa3eso/fht0q+/s9PsH31iCqmX30jRuy/j3biDqtc+Je7mS7q0gedatZGw043GFo158LBOzz/YaCxWUq+8noI3XsC7JYea9+cSc825XfoMMQzKwnradBp+WMrO//zEhNc6r9BuIuXs0ZTN24JzZznf/2sbF/9TFaT2JWWojfy1tTh2lZN4St/83sQfP5j891bg3byTsNuLaFJFXRWVwwnJGkXigzdS8fRb+PcUUvjOS6Redj2mfgP6empHPYIgoDFHtXhNFxuPLrb7NvoqoLXZ0aem4ysuxL1+G5bjO3aSOBAIoogUbSVUVYuvynFICoYAA26fQc3qfPx5xTh++hXraR0XtVlOm45zyWpcO7YSdDlb/f6KWh2G1Aw8Bbk4y3Z36vwRCaKowWbLpLY2B0fJrrYFw5CyJ7J/0Zu/QhEM97cjDXt8+HYoxYgd5Rc6cyrY/tDHeGr82JKNXPPyRBL6txaij72uP15XkEUv55Dzws9IRh1Jp7btyBIJdRsKqfh5OwgQc/W5B614wF9YinvVJtxrtxIoatn5rE9KwZCehS4hEX18Err4RKQoS8T7DyGvl0BtFYHqKjyFebh2bCFQU4130068m3bCe1+hTU/CNHEklhMmI1mjOr+oSoeIJgMJf/wd5U+8gr+kgo33fcqYZy9BH3fwiytUuoYpLYaUiyZS+NFKvv3nVgZMi0drOLQ611VUVA4v1DLEIxhBFKHxYVHtMGyNIAjNtorOBb90O3esKxhGKBai7pwd3b6GPiEZQZII+T2KlWZ3rtEosgVDXgKBw9PfXBCVBx+50VKmJ8QPmcrAv/yThDPP79b4+tUrCHs8aBLjME0Y0e55tR99Q9gbwDo8haTTWp5Xu76A4jnrADjv76Mw2vYKbT53kA/uWk19nczI0VoefdzW6yLvh++62bAugDlK4Kw/tVywyrLMghd2sO3ncjQ6kRGPzsKQ0HJDI+QLsOXRubh2V6KNNpHwx98hWdru1nWv3ow/twhBryPm+FPanVPNkvkA2DNHYrQntnueozSHolXf4HfWoNWYyMw4nmmT72PEsEsVsXAfhg29iOnT/szwYZeSED8SgLIN89k9/63mjJR9EQSRzOmXEpXUn7DPR+VP37Q7j30xZvQj5ZLrQJJw/7aBmvfnInfBfsexYAUAtglTD9kOAX1SKskXXAWCgHPRbzjmdT2DxX7+qWhTEvDXuNj14oIujxMkkUF3n4wgwMZvS9i9oqo7Uz9iac4x3FXeZ3MwZ8VhyoxFDoRwr9vSZ/NQUVHpPpLZROJ9N6Afko3s9VH03qs4tm7s62mpqBwwooYoz+OetX2XY6hpyjGsPPRyDJvQxZjJvlFxRqmf8yPB6rqOz09NVKxLw2GcWza0eY4xq/McQzkcJnfRBxQs+5xQyN/l+cZEK9duKNnV5vFmS9L9Owyr2hYMvVt2IQdCGFPtGNNjaAs5LLP9ye9x1fhJGmzl5g+mtSkWNnHS7YOYemUWADv//QOVS3Z2/sY6IBwMsesF5dk66sQp6LM6to7tKbIs492RS/nTb1L6l+eon/uzIhaKIsZ+A4ifeS797n2YzNv+SOLZFxI9eTqm7IFoLNZurWMlgwFDchqWEWNIOONcsu5+iMw7HyDulLMU21tBULI2v/iJot8/SdUbn+Evam3brBIZksVMwv03oEmIxVtWz8b7P8Nf6+7raal0QOblU9DHW6gr9rDk9d2dD1BRUVHpgENzV1Kl12iqnpPVDsM2iTt2IKasWEJuP44Fyw/YfYwjBoIg4CsrIdBQ161rCBoN+sa8N3dl92xJRY0WrdkOHL62pKLQ+Dsd7p3faUGSWlg9dRU5FGruLrTOPK5dkce7Kx/36s0gCgy8+2QEce9CSQ7L7HpOEccmXpTBwGNaVoz//N+dlO9yEBcv8sKr0egNvScWBoMyLz7j4PG/NQBw4l3DsCbu7Qwq3FDLq1f+yuLXlIfNAfeehnXY3g47f62bvHeW8dvlr1G3rgDJqCX27uvRxrdeTIe9Purn/kz1G58CED31hFb5PU0EGupwbFIE1OTRJ3X4HmxpQxh81h0MGngO06Y+QP/s0zAY2rdL0WqNJCaMYsTwyxg25CIESUN9wVbKNy9u83xR0tD/5GuJGzKV5Iuu6nAu+2IeOITkC65QhLWfV+BcsrrD8325Rfj3FIJGwja+d/NMepuoIcOJP+0cAGpnf4d7TdcEIkGnJfaGi0AUqFy4g8qlbW/ktIVlcBLJ54wB4Mu/bcTv7nmxwJFCyvBGwTCnAjncvVyY3iD++MaimJWb+mwOKioqPUM06kn4/XUYxw6DYJDSj9+hbtWvfT0tFZUDQtRQpXjMsyWHkLNvNsGlxhxDb3l9n9y/qyTPHIV1eAphb4CqV2YjBzp+DjNNGQ1Aw/q2n3/Ng4cRfcyJxA6Y2O41wkEfNbvXUrn9V6Dr659ouyIYOkp3I4dbF0zLoQDQOsPQ19RhmNxSMGyyI42Z0r9dsati4XZceVXoozT87s3JWBM6dloQBIGZDwxj5BkpyGHY8e8fe/QMl/vGUtx51WhtxgPmmAQQqndQ/91iSh76D+VPvKJ094ki5qEjSDr/cvrf/yjp191G9JTj0Ea3La72BoIgoI9PJGb6DNJvuJP+D/ydxPMuw5CaAcEgrqWrKX34WSqeeRvvjj1dKtxUaRuN3Uri/TcgxdhwF9Sw4Q8f46ty9PW0VNpBMmrpf+sJACx5Yzel2xv6dkIqKiqHNapgeIQjaJWH4bBf3WBtC0EUyLhM2aBv+GkZYX/ggNxHskahy260FN3R/UpWQ2O2ibMiv9vXiBs8maTRJ6PVHZ52HbLcuPjrYztV165tBOvrEKNMRE1t3ybR+bMiRCedOpyo7JaCYM3KXDyFtRgsGk77w5AWx9z1ftZ9mgfA/z1lIym59ywlCvODXHlRNS8+40SWYfSZKUy6RPnd8tQH+OrRTbx65a8UbqhDoxfJvum4ZrtDb3kDu56bz4rLXyX/vRUE6j1IsXbi7rq2VUWrHAjS8NMyiu//F3VfzEP2+tGnphNzzAntzs2xcR3IMlGJ/TDFpXX6XlIdSaSlTkGSWlugdkRS0ljGj76RhPiRJHUgTGr0JjKPuRDJEFlupGXEGOJOnglA3affE3K239HrmK9syFqGjW5XSD2UsE89DtvEaSDLVL0yu8tVvPrsdKwzTwAg58WfCbq7XjHe7/rp6OMt1BZ5WPDfnlViH0nEZZoRNQIhTwBfZd8t4OOOVay2fdtyCPu6/u+qoqJyaCHqtMTfcQVRx00EWabi68+o+vkHdcNV5YhDF5+IPikVgsHmDOmDPofG5+aGzcV9cv+uIogCg/94GpJJh29nHtXvzOnwMyFq6liQJLxF+XiKWq9ZjelZxJ92NkxtP6ZDEPcKeuFw1/cxoqKSkSQ94YAXT23r59OmeQsabYvXAjWVAGiT967V5HAYz4btgBJl0hZBt589ryoFpMdel43JpuvSPAVBYNQZyco9bcYWBaWRUPrtRoo+XQOA7YrzkMy9G10hyzKeTTupeP5din7/BHWffE+wtBJBp8U6fjJZdz1I6mW/wzpmApKpbYeZA41kMmMbO5H0m+4m/YY7iRo2CgQBz4btlD/xKmWPvdT876gSOZq4aEU0jLbiLqhh/T2z8ZTU9fW0VNohbvpAYqdmEwqE+fi+tWqhrYqKSrdRBcMjHKExRyzkU78o2iPhhMEYkqyEHS5cSzvuBOoJpnGK4OLc1v0ODEN6FohimxaKXSVl7KmkTjgDk7HnGYB9gSwrnYWi1LMIVldlAZu++XeXrSb3p6nqPmr6hOa/s/0JOVy4Vyv/3slnjW51vOgLZYE34YIMDFEtr7Fydj5ut8yQYRqOn6Hv1hz3R5ZlvvrczblnVLF+TYAoi8CFT47hon+ORRBh/ddFPHv2IlZ9WoAsQ+Jpw5nw7o2kXzwRT3EtO/79IyuvfoOSrzcgB0LostOJu+1yUp+6D8PQvbkeciiEc8kqih/8N7UffE24wYk2Jo6kC68k48a7EfXtV946Nio/k5gB4zt8Lz35G2jCak1nxPDLiM5TfqfkcIja3I1tboJY8mUlg3HVrzi3d62rLnraCegSkgg73ZQ+8jyuFRtaXTvkcOH6TbF9s0+e3sN3dHAQBIGEmedh6j8Y2R+g6uWPkLtYbGE/ZwaahFj81U7y3+1654rGpGPgvYqN7a/v5VK0qa47Uz/ikLQisRnKBo27sKbP5mHuF6d8j/qDeLfm9Nk8VFRUeo4gScRcdz62WUoxTc2ieVTM/bQ5+0tF5UhAEATsU5Q8PsfPK9rsRjvQGIYpz851G4qQQ4d2fIgpPYZhD58FooDrlzU0fL+k3XMluwVzY5dh3Yql3bqfqNE224YGg11/5hdFCZtViSVwlre2PE2fMouBjz5N7ImnNb8WcrsIe5V7aBL2ro/9uUWEHS4kkw7byLZtPgs+WIG/2kl0moljr21bVGyPPSsVt5/o8ZkRjWuidk0+u55XrEht552MedKobl2nPTxbcyj/x/+oePpNxbo3FMaQlkHCOReR/cdHSZp1CbqY3sug7CmCICjREJdeS9ZdDyrFjRoN/j2FVDzzNhXPvE2g4vB0WOprtEnxJD10C5rEWLxlDay/ZzbOPZV9PS2VNhAEpcBDFxtFVa6Lrx9X4yJUVFS6hyoYHuEIOqXKLew9MJ1zRwKCJJJ20QQA6r9fcsA2REzjlHw4d24OIW/38hKjhgxnwEOPE3f15b05tcOKpirT/bMnIsVZnou/vLQ55D4SArXVzXmUUSdMavc81y9rkAMhogYmYBncMovPlVtF3doCBBEmX95yoRjwhlj+QR4A198S1Su5hQ31Yf5wZx0P3FuPyymTMTaamz49gTFnpVKZ6+StG37jsz9twFXjx5QRw+inL2bIfacTcvnY9uR3rLzuLcp+2IwcCmMYNoDEB28i6S+3YZ40CkFSuh9D9Q4ci36j5M/PUv3m54Sq69BYbSSccxFZdz6AddS4TvP5ki+9ltgTTyO6X2uBtYlQwMeGDx5h65x/R7SJ0BG23T6KVn3Lnp/foWDZZ3s7WffBN28FFV9/RvncTwi5O88AFSSJpAsuR2OLJlRTT9XLH1H+j5fx7SlsPse5ZBUEg+hT0jCkZXRwtUOLpvcmmaMIFJVT++n3XRun0xJzpWJpWvTFWly5Xc8kjJ3Uj4SThiKHYc4jGwkGDu3NtYNFfL9GwbCg7wRDQRCInaJsfHrW9V0elIqKSu8gCAL2804h5upzQRCoX7OCko/fJuxXO4hVjhwsI8cimsyEqmrxNFpPHkx0GSmIJoMSjbGz77KIu0rMpH4MaLS7q/v0+w5t6S2nHAOAY8v6NuM4wsEgrpwdVG5f0e41NHqlWy4YjGzdbLM1OvK0k5EoCEKL9UigWhE+pBgb4j5FoJ71SldazIQsRE1rpxd3YQ0lnyvFxmc+OAytPjI3mN3LlWfg6HGRC4au/Gq2/P1r5FAY89Qx2M7pOMYhEry78ih78lUqnnodX04BglaDfcp0Mm+/j4yb7sE+YSqSoWPb1b5GFxtP4tkXkv37vxA97QSQRDwbtlPy0DPUzfnpgLlKHclo4mNI+tMtaNOT8Ne42PD7j6nfWtLX01JpA63NxNCHZiKIsO7LIjbPK+3rKamoqByGqILhEY6gU0SVkGpJ2iFJp41AazcSqqo9YBlM2uR4NEnxEArh3tU9WwxRq0PUdc3qpD1kOYzfWUtDQ2HnJx+ChBuFHFHsYYdho62rMT3yRVrd6uUgyxiGD0Sb2HZlpSzLOBatBCD5zNGtRL+iL9YCMOzkJKJTWtrHrPuqCFeNn5Q0iTPO6vmCbPVvfs49vYrv5nqRJDjpjkFc/9YUbIkGFry4kxfPX8qe36rR6EX6/e5Yxr9yNYYkG1sf+5pV179NxfxtEJYxjhpM0sO3knj/DRiGZCMIAoGKauq/X0LZP/5H0T2PU/P2HIJllYgmM/GnnUPW3X/CPmFqs6jYGbqYOLKyT23eJGgLV0UecjhE2OVBo+m9BavVYwZBoGrHCso2Lmx1PHbAeAz2REJOBxXfzenSNQ3JaWTd9QCxM05H0Gnx5eRT9vf/UvXaJwRr6nH8rGyU2Ccf2yvC8MFEE2Uh8bxLAXD89CuejTu6NM44ajDG8cMhLLPrhQURWd0NuO0ETNE6ync5WPqmGuYOEJ+t2Ev3pWAIEDtVEQzd67f3SaeGiopK72OZMYX4O64AjQbX9i0UvfNylwpmVFQOB0StDts4JZrCMf/AZdm3hyCK6IcoXWl167qXT3+wSTl3LClnjwYZal6fTbCm7fxFfVYq+kFZEApTv7K1o0SgupLid1+hcOWXhINtizeSTokDiFQwTEwYzYBTrifjmAu7dL6/WhHu9l/TeTY2CoZt2JHKskzOiz8TCsoMPi6BIScktjqnIxoqvFTsdiIIYB+THtHYQL2HzX+eQ8jlQz8wk9jrLuiVNYQvt4jyp99Uihu37wGNhH3ysfS752ESZp6HPjG5x/c42GiiLMSffg5Zt92HKXsQBIPUf7WAkof+g3vNFtVuO0Iku4XEB29CPyCToNPHxvs/pWZNXl9PS6UN7KPTSb9U+X6b+9hmnFW+Pp6RiorK4YYqGB7h7O0wVAXDjpAMWlLPGwdA/beLDtjDY7Mt6fbNPb5Wd+foratg08f/x7oNbx6WD8kx0f0Z97t/M/Tce3t0naYcSEN6VkTj5GCQhrWKEGiZMbnd87zbdhMsr0Iy6UiY0TKf0F/npmqBUpU77cp+LY6FQzK/vK1UxF53oxmNpmcLwAXzvFxzaTUlxSGi00zc8O40TrxlIOGgzEf3rmHhy7sIBcLETOrHuNeuI/2ySVQs3M7qG9+hcvFOkME4bhhJf7uDhN9fh35AJoHyKuq+mEfJw89Qcv+/qPv4O3y78kGW0aekE3fKWfS7589EH3MCorZnAndbOEqVn0+0vV8nZ0ZGRvqxDB54LgAla76noailACZqtGRNvwQEAcfGtV3+Oxa1OmJPOJWsO/+EZbTSzexatpbi+54iVF2HaDJjGTGmN9/KQSNq0DDskxVLr6rXPyVU37UcvZjLz0Y0aKjfWKQI0l1EazORccvJACx6OYeK3X2X23eoENevSTDsW5sl26g0JJOOcIMTf25Rn85FRUWl9zCNH0Hi/Tcgmgx4C/MoeO15/NWqFZnKkYF90jQQBLxbc/AXH/wuvyZL/9r1h4dgKAgC/W8/EeuwZEKeALWzv233XOupyvNh3erlhAMtu5N1CUlorDbkQKDdTsAmwTAQoWBoMsViyxjWZvFhybp5lHz8Du68vUVnTR2Gmn0Ew2BtPf78EhCUzsr9qf41h9o1+UhakZkPDotofrC3uzBqYCJaa2Q56TkvLcRbVo8mPob4O69qNxqjq4QanFS+9CFlj76Id9NOkERs46fQ766HSDjzfDQWa4+ufyigi08k9ZqbSb7kGjQ2O6GqWipfeI+K/7yl2pRGiGQ2kXDf9RhGDCTsDbL54S+pXLqrr6el0gaZV03FnB2Pu9bPV3/fdFju/amoqPQdqmB4hNNkqxH2qbYLnZFyzhgko5ZAURneLnbKRIpxrLKgcOV0vwPDvXsn+S8/Q+7C97s1Xm+JBQRCIR+BgLNb1+hrFCuZyGxf9sXvqifgqgNBwJAaWVWnc9smQi4nkt2KcfTQds9zzFsGQOLJQ9GYWopmpd9uJOgPkzrcRsbY6BbHts4vo6bQjT1a4IJLIltA7s+vS33cc1stoRCMOC2ZOz6fTvroaLzOAO/cspLtiyrQ6EWGPjSTEf84D41Zx9a/f82Op34g5PajH5hJ8mN3k3DX1egyU/Fs2UXFM29T8uDT1M/9mUBROYgipuyBJJx5Pv3+8Bcyb7mXmOkzIraqceftpvjDNwkt7dxnv2ljwW7L6s6PpUNSUyaSnDwBZJk9i97H52jZtWVOyCRxxPEAlM/9NKJOC63NTvIFl5N+490Y0jKh0f7YNm7yARFWDxZxp56tZDU2OKl+47MuLUY0sXasZynC3+5XFhN0dt1aNmHGEGIm9SMUCPPl3zYRDh/di5/4JsGwDzMMAUStRMzELGUufWDtpqKicuAwDMoi8c+3IsXaCVRXUvDGc3jyc/t6WioqPUZrjyFqyAgAHPO7nq3cWxiGDQCgYXMJ4cPEEUjUSAy862QQBdwrN+LZ0rZYYBw3DCkumrDbhWPj2hbHBEHANEApqKwvatt5Z2+HYeTxA7bdbXfTOEt349yygWDD3s7IQE1Th+He/ELPBmVO1qHJ6OwthceQL0DOS4sAOPa67OYs6UjIaRQM7RHmF1avzKViwTYQBeJuvQzJGhXxvffFtXIjJX9+BvfKjSAIWMdMIOvOB0mcdTFae3TnFziMEAQBy/DRZN35ADHHnQwaCe+mnZQ+8hzOZWtVMSUCRL2OhLuvwTRhJHIgxNbHvqbsh54XxKv0LqJWYsgDpyNpBLb9XM76r4v7ekoqKiqHEapgeITTVHEW8h0eC5C+RGsxkHyWEhZe/93iA3IPfXYaoslA2OPBW9zNSlJJg6+kEGf5nm492IoaLbooOwBu99FZUeeqyANAn5iCqNNHNLZulbKZEHX8RIQ28iwAAmVVeDYoG+ZNnatNhAMhSuauB2DqlVmtLGSWvauIYZdfbcZk6v5H9Lo1fm6/oZaAX7E9veifY9CbNbhqfLz5u9/IW12DPkrD8CcuImHGUGpW5bH6xnepWroLQSNiv/B0Ev90M5qEWByLfqP04Wep+NcbygJaljEPHErSBZfT/4G/k3btrdgnH4vW1v2FZcP61bi2b6Y+v+PFRjgYwFWpdIfaI+gwlOUwXm8dtbV7KClZRUXFpjZzCgEGDTgbiyWVkM/N7gVvt7JKShl3OnpbPCGng8ofvuryHJowpmeSfsOdJF14JfapxxNzXO/ljvQFolZL8kVXgUaDZ+OOLm+4WU8/Fk1SPIE6N3lvd32TThAEBt59MjqTRMG6WlZ+nN/dqR8RNFmSBmrdBBy9k+nZXWKnKRufnnWqYKiicqShS00k+S+3o+uXRtjppvCd/+HYtK6vp6Wi0mPsU6YDivtD2NW9nPnuok1JQLRGEfYHadh2+ORMRQ1IIPWcMQDUvDcXOdh6r0EQRawnTwOgdvmSVutW80BFMGwobrtQN+u4Sxh9xaMkJY6NeH4uVwXFq7+jfHPLNX04pMxT0OyNtmiyJNUk7e0wbM4vbMxn3pfC2avwlTdgSzJw/A2tj3eGLMvsXtGYXxiBYBjy+Nn13HwALCdPQ58dWdFri2s1OKl88QOqXvqQsMOFLjGZjJvvJen8y9HFtB23caQg6vTEnTyTrNvvx5iZjez1U/3aJ1S9Mpuwu2+fow8nBK2GuNsuI+q4CRCW2fHvH5sjV1QOHaL6J5B+tZIp++0TW6gvO7jfcSoqKocvqmB4hCM0dxiqgmFXSLtgPIJGxLcjF++u3t+EFiQJw/CBALi6mWNoSEkDUSTgblC65LqB3qosBDyew08wrK3dw+4F71C28eduX2OvHWlkVZ3+ynI8ebtBEIg6bmK75zl+WgYyxEzOxpQe0+JY5eId+KtdWOL1jDg9pcWxkq31FG6oQ6uFy69uP8OvM7ZtCXDzNTV4PDIDpsVx8VNjkDQidaUeXrtmOSVb6zHH6Bj+r0uxDExk1/Pz2fzQF/hrXGhTEkj6y+1EnTiJus/nUfz7J6l5ew6B4nIEgw775GPJuvtPpF51I9bRE5CM3Z8nKItmd55S7QsQM2B8h+e7KvORwyF0OgtGY2yH5zYRCvlZvPRv/LriKdZteJ3tO+eweetHbNj4DoGAu9X5kqRl5PAr0BjMeGvLmvMum9jXmrRhwxr8VRVdfLd7EUQR66hxJJwxC8nQs07SQwF9YjLxp54NQO3H3+MvLOt0jKDREHP1LACK567HsavrVmCGRCsZ1yudnvOe2U5d6dG7+NGbNVgTlY7evu4yjJmYBaJAoKiMYGXfzkVFRaX3acovMo4bBsEgpZ++R/Xi+WpnhsphjTGrP7qEJGR/AOcvqw/qvQVBwDBMEZ3qDhNb0iayrp2G1m4iWFZJQ6Ozyv5EHTcRwaDDX1GGe0/LTkRT9iAQRbx15a0cPQC0RgsaQxRiN1xl3J4qyjYsoGrHyhavh0NKEaCoUfZIZFkmUNNoSZqgrCvC/gC+bcpcYye3LE70lNZT/PFvAJxx/zB0Jg2RUpHjxFnlQ9RrsA1L6XxAI7lv/4qvvAEp1o79/FMjvm8TzV2FqzeBJBJzwqlk3nyvssdwFKGLjSftutuInXEGiCLuFRsoeeS5A7IHdKQiiCIx112A9XSl6GL3SwvJe2+5+kxwiJFxyUQsQ5LxOoLMeWSj+u+joqLSJVTB8Ahnb4ehaknaFfRxFhJPUWxDG77uviDVEcaRgwBwd1MwFHU69EnK4sLZ2CkXKQZrvDIHT1W3xvclHk81dXkbcZZ33wpLozOijYnFmJEV0bi61SsAMI4ZiibW3uY5YY8X1zJlsyHtgnGtjhfPUarxJ1+WhUbb8iN45afKRsFpZxqIi++e5eqWTQGuv7KGhgaZjLHRXP7seDQ6idLtDbx21a9U5brQx1sY9vQVCKLAmlveo2SuItZZTjmGpL/dSbCmntKHn6Xh20WEXW600THEnz6L7N//lYQzz0cXG9/2e/f7aNi4hob1q/FXV3b4MCoHgzRsWEPBq89S9OZ/Cfu86G3xRCV13DXoLFP+3S2W1Fbdmc3XlmWqq3ciyzKyLCNJOiRJj4CISbIRp0tHFLXU1O5i1Zr/4nK1FqoMBjsjh1zG4DNvx5IyoNXxqMR+pE06m/Qb70IXl9DhnA8lcv7xJ3L+8RA5j/+ZnCceZvc/H2H3U38l99l/ULe6Zws8++RjMQ8cCsEgVa98hBzovFDFOGwApkmjICyT88KCiO6fcvYYrMNT8LtDfP1/R7cNTrMtaX7fFoForUZsI1KVuai2pCoqRySiXkf8HVdiOU3JJ6te8B3lX37cZoeRisrhgCAIzV2GjvnLkRst4w8WzTmGaw4voUITZSD7puMAaJj7E4Gy1utK0WQg6lglv7t22cIWxySjUbHop/0uw+5is2YA4K0rIxTYa08qN3UYahv3SFxOwj4fCALaeKXI07dtN2FfEH18FObs+H3Ghtn1/HyC/jDZk2MZfkpSt+aW86siUNpGpiHquiY41m0opHiO0r0Ve815iIbIHHIA/MXllP/nrZZdhTfdQ9yM01t0XB5NCKJI7AmnkH79HWijYwhV1VL+xCvUf7Ow2/ExRxuCIGC/ZCa2804BIP+dX9n934XIIfXnd6ggSCJDHjgdjV4k59cqVnyY19dTUlFROQxQBcMjHEGv5GKFPKpg2FXSL5mIIIl4Nu5ozi/oTQwjBwPgLSkk6HR06xrG9CwAXOXdW1jqbY2CobuyW+P7kmBIWfSJmu5nvkWdeyr97vkzllEdd7Ptj2u7IkpETW9/nHdHLmFvAEOKHfvYjBbHQt4Azp1K59W4c1tXcdYWKd1u06ZHvggEWLrYx1UXV1NTHSZlmJWrX5qIzqRh6/wyXr3qV+rLvBjToxnz7KW486tZd/dHeIprkaKtJNx3PbazTqD69U+pfO5dQrUNaGPjSbnsOrLufojoaccjGYyEfV7q162i9PMPKHzjRaoX/th8fzkYpOyzDyj74kPynnuCPf9+lNJP36Nu1a/4KspaiEGlX3xI2ecf4CsuhEbhLyohq9P3KOkMRGePYWD/me2eI8shNmx6m81bPkDcthvd9iKOsV/IKYk3cVz8FUyIOZup0edhkqz4/U5CobY/H6Pt2aQ42t8MSBxxPAmhjHaPH2rIskzY5yPs8xL2egh73IRcTkJOB4GaasVargeCoSAIJJ53KZI5ikBROXVfLejSuOjLzkQ0aGnYWkrVkp1dv58oMPgPpyJpBHYsrmDXssPv86y3iE5XOn19FQ19PBOInZINgHdT1/8tVVRUDi8EUSTmsrOIuWqW0m2/biVF770aUa6visqhhHXUOESTmWBlDc6lB7fL0DhyMIgCDVtLceUdXsWciScPwzYqjbA3SOXz7xL2tM4OtJwyTengytmBK6elMBg1SCnU3d/NA8BdXULB8i/Izeva8+S+aLVmRFERBYNeZ/PrTTEDTQJZoEYptJJibM2F1q6VGwGIndq/RXFi8VfrqV2Vh0YnctZDw9stXOyMjd+VABAzuWvRCq7cKjY/8hWEZczTxmIcNTii+8mhEPXfLKT0r8/j3bijZVdh8tHVVdgexvQsMm79I5ZR4yAcpu6zH6l8/r2DblF8uCIIAvZZJxF9heI2U/zlOjY/8hVBt7+PZ6bShCk9hqwbFHee7/+1jfy1qhOMiopKx6iC4RGOaFRsykLql3WXMaXFkHq+0hlW8/5cwv7eFVs10VZ0/dJAlnHt2NKtaxgylAWGs6J7XXbG6ERAyXc43GiykNToIw+Y359IFnr+mmoCtdUgiRiGtu44a8K3Mw8A++i0Vtd3F9Ygy2Cya7EmGFqNNdmUhaqzIXLR5svP3Nx6XQ1ul0z25Fh+98YUDBYta74o5KN71xDwhIgen8mY5y6j/KctbPnbXMLeIIbhA0j6+92Eahsoeeg/Sui9KBJ97Awyb/sDUUNHKr+ru7ZR+tn77H7qr5TP+QjHhjV48vfgLVXCsy35MrYKI5aUQZgTskCSCDkacGxaR8XXn5H/4lNUfP1Z83yto8ajNVlJGX8G6VPOBaB61yrylsxGDrdf2R0/7FiyT7yKwMjUds8RRQ0ajYHKqq34wsrvi0EyIwp7v/Is2jimxF7AeNtMrNaOF8u23T7cVUUULJ/TbgdcoL6WsP/Q/5wdcdGfGH7hgwy/4AGGXXA/w86/j2Hn/ZG0ybNIvugqBLFnjwWaKAsJZ18IQMN3i/EXdW5Nqom2YTlNqVDf88YvhANdr+w3ZcSSfK7yef3tk1sIBo7OalZLnFJk4K9pbbF7sImekAWAd/ueLnWZqqioHL5YTppKwj3XIBh0eHJzKHjlWXwVnX/uq6gcaog6PbEnKB0y9XPmE/a2Fr4OFJoYG6ZxwwEo+vzwygATRIGhD52JLtZMoKSCqtc+btWZpU2Mw3LSVAAqv/+yRQenddwkMm6+l5grL2117YCngcqty6io2BT5vAQBnVZZKwY9+wiGTZakjR2GgVpFMNTEKTnssj+Ae62yPo8/cUiLa5b9oBSOnvb7IST0t0Q8J4CynQ0Ub6lH0ggk7Hf9tvBVOtj00OeEXD70AzOJufb8iO4XKKmg7B8vU/fZjxAMYR40jKw7HjiquwrbQzIYSLrgChJnXazksq/fRuljL7XZOavSNtZTjiHu9isQdRpqftvD+ntm4z0EihlVFFLOHUv8CYMJB2U++v1aGirUzE4VFZX2UQXDIxzRqGwiqoJhZGRdPRVdXBTByhoavl3U69c3jh0KgHN79wTDpg5Dd01JC5uVLo+PSSFxxPEkTj6tW/fvS4JBpdJPY+hedl7Q6+yWxYh7t1IRq++f0fx31Ra+XXkA2Ia3FrTcBUolV3x2VJtjTXala7Kuruvzk2WZV//r5MHf1xMMwqgzU7j65UmKWDinkC//uhFZhuSzRjHskbPJeX4BeW//CoDl5GlEX3Uu1S/Ppvr1Twm7POiTU8m46R7iTz0LUatDDofJe+FJit97DcfGtciBAHpbPMljTqHfiVeSMfQ0LPmKiCYIAoPOuJkhZ9/J2Cv/waCZt5I89lQsyQMQJC2G1HTlvvkySYYhjLzkYZLHnIyjJKf5/dTkrGHPwvcIh9oWGvYVYev769sV8HQ6ZSHvC7UvoOhEI7H6VHTbiwBoaCgiN6+1LWYw6GXHdy9RufUXqnf+1uo6zi/nkfvs49SvXt7uvfoKf1UFxe+9hr+mGmuBkl9qsMVjsCdgtCdijE7CGJNM4ojjiK7e+3tZ+dM33f58sgwbpQjN4TA1H8ztks2o9YzjkGwWvCV1lHy9IaL7ZV45FW20iapcF8vf675V8eGMJb5JMOz77h5zvzh0MWZkfwBfzuFlr6aiohI5xtFDSPrzbWjiYwjUVlPw+rPd/v5QUelL7BOmoY2OJVTvoOHHpQf13pZTFYvf8vlb8df1ffFPJOjjohj+13MQtBKetVupbyPWw3buSYhRJvyV5dSt/rX5dU2UBUNqeptFnAZrHAAebw2yHPnaTatTnmsDbXUYapU1V6BWWZtpEhQ7Us+WXcgeH/p4S4u1nCu/GteeSiSNwOiz2y9a7Iy1XyprjugpA9DZO17LBp1eNv3pC3yVTjTJ8cTffQ1iYxdkZ8jhMA0/LKX0r8/j31OIYDSQeN5lpFxxfbvREirKOtM2fgoZN9yFxmYnWFZJ2WP/xbM1p/PBKgCYJ44k4cGb0UabcO2pZN0dH+LYoRYSHQoIgsDgP5yGOSsOZ5WP2b9fS+goLbZVUVHpHFUwPMIRDUoXk2oHEBmSUceAW08AoOG7RQQqe7dl3zRWsV9x79lB2B+54Ke1R2NIyyRq2ChC/sgrg7RGC2mTzyGmf+uMvUOdnnYY5i7+iN1PPIxzW2TVqk2CoWH4wHbPkf0B/HnKQtA6InLB0GhXFoF1tV17cAuHZR7/WwP/+adibXvstdlc+MQYNFpREQsfUcTClFljyLh8Mhvu+5TKRTsQJJGYa89DP7gfZY88h3fLLgSthrhTziLjpnvQ2OzN9xBEEUNaJhqDmfhhxzDknLsZfsEDpIw/nZjssZhiUtqcm6jRYkkeQMq40xg081bGXPV/pNjH7SMuigiiktMopMYimaOIPWkmgiRRl7eJ3T+9STjY/ueWz1HDnoXvsyd3XpvH9U2CYbhrAoqwdTcbN79Hbt4Ctm3/vIXIpdEYyM44CYCild8Q9LXcyNGaLBAKUbN0Qbf+ng8UcjhM+Zcf49q1jbo5c7s0xpIvE1q6hdqlP1Py4RtUzf+uWwJ7/OmzELQafNv24F7V+d+aaNBjO+9kAPLfW07A0fXPNU2UnuwblQ7FhS/vOiqrJfd2GPa9YCgIAtHjlUwiz+ZdfTwbFRWVg4EuPYmkR25HPzQb2eun5KM3qV48v0e5uCoqBxtBoyHulDMBaPhuCaH67kVHdAf9wEx0/dKQAyFKv4mscOpQwDoshYF3Kc/K9XPmN3fpNSGZTdjPPxWA2l8WtpkTGQ4GWnxm6KKiQRAJh4P4fJF3KbXVYTjmyscY8Ocn0EbHAhCoa+owbMwv3KUUOsVM7ocg7hUxKxcp68ABx8RjsnUvFiMUCLPhG8WZJen04R2eGw6E2PzIV7jyqpDsVhL/8DukqK4VywYqqil/8lVqZ3+LHAhi6j+YrNvuxzZ2YrdtVI82DClpZNx0D4a0DMIuDxVPv4ljYeuiUZW20Wenk/DnO9GmJuKvcbH+9x9TtUxdExwKSEYtwx89B4NFQ8H6Whb8V42QUFFRaRtVMDzCEZo6DF2Hzib24ULccYOwj0lHDoRwzPulV6+tTUtCiotGDgRx7+7el3TGTXeTcvHV6My2Xp3boU6TYCjpI+8wlMNhnOV5hH1eNPboiMa59yiVhcYOBENffjFyIITWbsKYam913F2gLErb7TBsXIB2RTD0+2T+cEcd772l/DzOuH8op/9xKKIosPbLlmJhwklDWXfHhzh3lqOxGoj/4/XIXj9VL32I7A9gzOpP5m33YZswhcof55L79N9bWI32GzGLUZf9lYyp52OOz+jWYlOUNIiatqti408/h+w//pWY404i5cobEbQ6QiYRhPa/ojy1ZdTuWUdB8TK83rpWx5s7DMNdy57QinoGGcYjIFJWvpbSsjUtjqenTcNsTiLk91C2oWWWSuzAiegtsYRcTupWHNyK9I6oX7MCT0Eugk5H2uRzujzOmjqI+GFKpXvNkvkUv/sqIW9kGR7a6Biij5kBQO3sbwn7Oi9aiZo+AW1aIkGHl/z3V0R0v8STh2EZmozfHeLHp7dFNPZIIOoQEgxhH1tSVTBUUTlqkCxmEv9wvWI9KMtUL/iOsk/fOyzsulVUmogaPhp9ajqyz0/dl/MP2n0FQcDa2GVYMncDYf/hZ+mdfMZIUmaNAaD27U8JuVoW2EUdOx7RYiZYX4dr59YWxyq+/YINs/+Ku7Kg+TVBlNBbFWHP7amOeD66NjoMBVFE1OubLfibOwzjGwXD3EIALIP3ZpjLskzFou0AjDyj7ULJrrBjSQWuGj+6GDMxEzvOLyz48DfqNxYhmXQk/OG6ZsvUznAtX0/pw8/i25mHoNeRcPaFpF59E9p9ikFVuobGYiXtutuVXMNQmJp35lDz/tw2xW6V1mjiokl6+FYMIwYS9gXZ8re5FH62Wi0kOgQwpkaTfe8ZACx9Yzc5y1XbXRUVldaoguERTpN1otphGDmCIJB+2SQAXEtX9WrotSAIzV2Gzu2be+26kRDye3GU5lBbt6dP7t9dgiGle0hjiLzD0FNbSjjgRdTr0Sd2fcHnLS4k7PUgGA3o+rVvQ9OUX2gbkdqmqNa5JWnXOgwdDWFuuLqG77/xotXCRU+N4ZirswFY+2Uhc/6yVyyMPWYAG//4Kf4aF9q0RBIeuh33qk3Uzv4WZBnbpGNIveom3Lt3kvvcE9StWIocDBJYvrG5G1BrjGruBjxQCJKEIAiY+w8i/YY7SL70GlzZ7dvu2NKHEpXcHzkUJL9gcavjXbEk3Z800zAGWaYAsCvn2xZCpCCI9M9WLHwrtv6C31m795gokTxOOVbzy0JCnt77rOgugfo6quZ9DUDauJnoLTFdHitKGjKmnke/E65A0Opw79lJ6cfvRLxAjpk+A409mlBNPQ3fLOr0fEGSiL5Uqewv+Wod7qLaTkbsM1YUGHjnSQgCbPi2hLyjLMjdEq+4CfhrXYfEQjx6XAYA/vxiQg3OTs5WUVE5UhA0EjFXzSLm2vNAEnFsXk/hGy8SqO/657mKSl8iCALxp54NgHPxKgIlBy/v3TRxJFK0FX+Ni4rGjrbDjf63noApK5Zgg5f6r1oW2Ak6LVHHTQSg7reWxbghj5uwz0fN7nUtXm+2JfVEvqGd3e8URl76CIkjjm9+zZHZcn3WnGEYH40cDuPPayyY3EcwdO2uxFNYi0YvMvTExIjn0cTaOYoYmXDyUASp/W04Z04FBR8q3WzR11yALj2502vLskzdnJ+oemV2czFo1m33YZ84Te0q7AGiVkvSBVcQe9JMABzzf6Ximbd7dV/oSEY0Gki491qiTpgMMux5eTE5zy9ADqk2mH1N/HGDSD5rFLIMn/1pPc4qtcFERUWlJapgeIQjGpVNRDXDsHtEj8vEnBVH2BvAsXhlr17bNE4RDF07tnbL8g+UxYG3rqJbuQ51+ZvZ+d3/yM09eNWzvcGEcbcx5qp/YEkeEPFYZ7mSb2ZIz2quLO0KTV2ghmH9EaT2hbMmGxvriNZipBwK4ylWNsx6kmFYUR7iqourWbncj8kscMVLkxk9UxEx135VtFcsPGc08ccPYssjXxL2BzGMGkzCH6+n9qNvcf68AgSB+NNnYR4ygoJXnqHim88Ju10Y7IkMPO0mUsaf3vJnUF1M9a7VlKz9gdxF75Mz7w0qti4j6O2+GBD0uiiX97T6/TckpyE2Zos0ZEDZhp8JuFtaEQmCQPJoxfqovGIjoVCgxfGmqmJ/OLIcmCzTKGzaREIhH9t3ftlCfImNGYTd3g85FKR4zQ8txsVkj8VgTyTs9VD766KI7tnbyLKs/Hv6fJjjM4kfeky3rhPTfxyDZ96GoNPh3r2Tim+/iEiMErU64k+fBUD990sIVHReHW4cMQjDqMHIwTC5ry+JaL6WQYkkzRwFwDf/2EI41PfC2cEiKlb5e5GDYYINfW/Jqos2E9VfycjxblFzX1RUjjYsJ0wm8f4bES1mfKVF5L/2DO5c9bNA5fDA1G8A5sHDIRym9rMfOh/QSwgaCctJ0wAo/nzNIVEAFCmiRqJ/Y6yHc8HyVoKr5cTJIAi49+zCV1m+9/XhowGoK9zS4n3rGwVDtzvyDkO93orObEOUNAAEfR5KP3mXsjmzkWUZORQiWF8HKB2GwbIqZI8PUa/BnBnbfJ2KhUp34eDjEtCbNRHPA8BR5WXn0koAkk4b0e554WCI7f/6ATkUxjRhBKZJozq9tuwPUPXy7GaBNvrYE0m79tZm21WVniEIArHHn0zypdci6LR4N++i9P9e6tK6RkUpCI255lyiL5kJApR8vYFND88hqDqg9TlNBR7OKh+f/3kD4fDh952joqJy4FAFwyOcZktSt/qF3B0EQSDtwvGAUlEmB3vPgkI/MAvRZCDkduEtzIt4vCzL5D7zD7Z8/k+8teWdD9gPY2P2nNNZdlgtSAVBQNIZmhd/keAsUwRDY0Z2ROOa8gs7siOVw+FmwdDWRn6hp6QOORhGa5SwJRnbvEazYFjb+t+jvi7M8l98XHpeNdu3BomK1XPt28cwYKqykF77VRFzHt7QLBYmnDKczQ9/SdgbxDBiEDFXzaLymbfxbNiOoNWQfMk1hDxuSt59BX9FGaLRRPrU8xh23h+wpAxoFlebKFn7I3lLPqJ03U/U7F5HfeFWCpd/wYYPHyVn3uuEApF/xtTsWU/Rm/+l5MM32z2ndunPFK/+lj0/v9fq99SSPBCt2U4w6KGquqUNpdmcQEzMICzayBbLgiAy0jYDUdBQU7OTsrK1+xwTGJCt2HfU5KzBU1O695goNoustcsXE3QevNyb/XFu2YBrxxaQJDKnXxyROL4/5rh0so+7AgSB+tXL8RYVdD5oH6KGjsSUPQiCQWo/+rZLY6IvmQmiQNUvOdRtKIzofv1+dwxGq5ayHQ2s+jQ/orGHMxqdhNGmdOT6aw8tW1LPZjUbQ0XlaMQwuB/Jf70DbUYy4QYnRe+8TO2yRYfVM6fK0UvcqWeBIOBZuxVvo4PIwSDqhEmIeg3O3ZU4tpV2PuAQJGZ8FjFTspFDYWo//q7FMU1cNMYxQwGoX7ms+XVT/0EIGg1+Rw3e2rLm15sEQ78/8gzD/Qn5PTg2r8exaS2CIBCorwNZRtBqkGwWfLlKDn3UgITmDkBZlqlcrKwDe2JHuuHrYsIhGcvQ5BZi5P4UfLQS1+5KNFYDMVfN6rQ7MNTgpPyp13D/tgEkkcRzLyH+1LN79Oyv0jaWYaNI/92daKw2gqWVlP3f//DtiWydcrQiCALWM44j/o4rEfUaalflsf6e2Xgrev53rdJ9JL2WYQ+fhdYgsmtZJb++c3g5j6moqBxY1CeJIxzRoHQYBl1qh2F3SZgxBG20iVBNPa6VG3vtuoJGwjh6CNA9W1JBEJorB50VeRGPN9gTEESJYMiL11cX8fjDEVelIiAYM7K6PCbk9eApUsYZhrff1RgorSTsciPqNUQNSGh1vDm/sJ8ZUWx78dckGJYUh/jqczdP/aOBG66q4fhJ5UweVc51l9dQUhQiNtPMTe9PI2Wokl+5+vOCFmJh8lmj2fzQF4TcfvRDsrFffDrlT7yCP78E0WIm7drbsAwbhWRQhMv4odMYecGfSBh2LO7qErbOeZod376Et76yeW6xUirR9mxSkifSP/t0+mefjiUqBeQwPmctokbX5Z9pE7V7FNshU7/2f65Rw0chaLU4y/dQs3tti2OCKBI7YAIApWUtj8XFDmHMqGvpZx4b8byiNNEMMCuWSRVVW1ocs1rTSEudSsYxF2Cwt/x3tmeOxBSXBoCvpCji+/YWdat+BSB51EkYo5M6Obtz7JkjSJ88i+SLrsKYnhnRWEEQiD9TsabzrNuKZ2PnFlu61ETFugbY/fIi5AiqHbU2E6nXTAdg/vM7cdUePd99lqYcw+pDRDAcr/yueDbt7HYXvYqKyuGNJi6apD/finnqWAiHqfxxrpJr6FMLGVUObfTxidjGK88itR9/d9C+x6QoE8YJSldZ6be9t+7sDlXLdrH71cV4SuoiHtv/luMRNCKeDdtbPftZTp4KQP2GlYS8iiuCqNNj6qcUZtYV7s03jB0wgdFXPsbwYZdGPAePp4ai3+ZSvFoRLcONbiRCo4tJkx2pFBeNIAj4GwXDfe1IHdvL8JY1oDNJDJreen3XFWRZZu2XyrU76i507CqnoDHD2375eUg2S4fX9eUWUfr3/+LLKUA0G0m76mZs4yZ3a44qXcOQkkbGTfegT0ol3OCk/MlXca/f3tfTOmwwjR9BwgM3I9ksuHKrWHfnhzRsL+t8oMoBw5wVR79bFdemec/toHCjaiGvoqKioAqGRziiqdGS1ONXvcK7iajTkDpLER0avlvcqwtGY1OO4bZN3aq4bhK+mjrnIkGUNM2Ch9N5eDyo+f0O1uZ+SP6yzyIeG3A3KLlzgoA+Jb3L4zx5eyAUQpMUhzYxrv3rN1rumLPjETWtbUv9tUrWQZMo2BZRsTq0jbF9D9xbz5uvuPhlsY/yMuV3zpZsZNTMFG56byox6SYAdq+oYu7fNzdnFva76Ti2/d83BB1e9AMyiLvtcqpf+ZhQTT3a2Hgyrr8bY3oWAPZpxzP4rDvJmHYBGr0Jv7OWnHmv460rR9IZkHaUYNvtw7bbR1bmCYwdcwNDBp9HZsZxZGYcx8QJdzB54j0MzTwb0/Za3NXFXf651uZuULoYBYGoEWPaPU8XG0/0MScCkLfkI8o2LGhpEzpQEQxranZSX9+6o8w/JK3Lc9qXLPNoRtlOYtSIK1sdGzTwbOKHTG2V6ygIAlnHXUa/e/6MedDQbt23N0i96ibSJs8iqdGytTdIGD6dFOuYbo3Vxydin6SIeF3ddLOfezKSSYdzVwWVSyLrUEs5azTm/vF4GgIsenlXt+Z8OGKOadwAq4/MhvdAYRuZhmTSEW5wNmcCqaioHH2Ieh2xN11M9JXnNOcaFrz6LP6qg5cNp6LSHWJPPB1Bp8W/u4CGH5YetPtGnTAJgPL523DlRp7d1xu4i2rZ/tjXFH2ymtXXvcmOf/0QkXBoSosh9Vxl/Vz9xmcE6/Z2EhmGDUCTHI/s9VP3296fq3nIcEBZIzQh6Qxo9Cbq++sjfg/BoIfyzYup3rUKADmoCIZi42IrWKfkXWvilZzvtvILm0TboScmojN2L8997ZwiKnY70RpEEk4Y3OY5npI6Nj88BzkUxjh+OKbJ7VuRyoEgtR9/R9nf/0uoqhZtTCwZ19+NKbt9JxyV3kNjtZF+/e2YBgxG9geofOFdnL+u63ygCgD67HSSHrkdbVoi/moX6++dTen3m/p6Wkc1STNHEn/cIMJBmQ/vWUNDRd/HW6ioqPQ9qmB4hCOaGq0PZQg61Wre7pIyawySSUegqAzP2q2dD+gixlGDEbQaAjXV+Moi31A1ZvUHwFnWPfsAY7QSou5yHR6CocdbR13+ZhoKu1HJJwjEnHAqtvGTkRo7b7tC07+Lvn9G127TTvdg1AAlz6t4S327/vA6k4ZTfj8MS7yezPExTLk8k1l/HclN70/j4eWnct9PM7j4qbGYY5RFc02Rm9l/WEs4JJN48jAG3DGDvDd+wV1Qg2SzEH/3NTR8/TOB4nKkKAvpv7sdORQiHFAWzNYCiErMAiAc9JMz/y2CXidR5mSmTfgDcbFDOn2/ZnMC0fZ+5OYtYNuXz1C6YUGnY/zOWvJ+/RSAmOknobXZOzw/9riTsY6bDLJM8erv2LPgHUJ+5UHWYIsnYfhxpE48E4ultTjo8dRQ5t3d6Zz2RxREUoyDEYS2vyZtu9v+PDVGJxFd3XZG5cFC1GhIHHFct2x7O8OSLxNoqKPko7cisl2NPeEURLORQHE5rmVrOz1fskYRddpxAOS/tzyighdBEul/0/EArPw4n+qCQ6Pj7kCjNSgbWSFfsI9noiBqJaLHKZ+b3s1Hj3CroqLSGkEQsJ48jcQHb0KyW/BXlpP/6jM4tmzofLCKSh+hsViJP/1cAOo+/xFfzsGxOtcPyMQ4dhhyKMzOZ+ZF5LTQW+x5bQmhoHLfcEim7MctEQuHWdccgzkrjlC9g6qXPmyO9hAEAfuskwGoWfYzIZeSh24ZNgpEEU91MZ7anq9NNRplHyToU4o2w0HFdWJvh2GjYBgXjRwO4y8oAWh2ivFVO6lcoKz7J1+W1a05+FxBfnhaiU1Iv+pYNFGthU9flZON93+Gv9qFNi2R2OsuaNeKNFTnoPyfr9Lw/RKQZSwjx5Jx0z3o4rrX/ajSPUS9gdQrbsAyegKEwlS/+jEN83/t62kdNmhi7ST9+Vblcy4QYufT89j57E+E/YfGGuZoQxAEBv3hVEyZsTgqfHx49xoC3t6LYlJRUTk8UQXDIxxBIyEYlAfTgEOtFOkuWouB1PPGAVD31YJe6zIUDXqMo5RKQ+fmyDdNjOmZIIr4XbX4HDWRj49RBMPDpcPQ560DQGu2RTxWa7QQN+N0Es+5OLJ7NgqGuozkDs8TGrsK5VDbi/qoAQmIeg2e+gBVuc52rzPtqn48sPBkbnxnKmc9NIKJF2WQMSYag0Xb4jy/O8iHd63GUx/AMiiRgfeeTO3afIrnKBWOsddfiD+/BMdPyuIl6bxLEUSRorf/R+Frz6Hfsvf3RZZl8pZ+jKe6GI3BzMiRV6LVtp2z2BYuVwXFpSsBmaj4ji0r5XCY3MUfEvZ6MKRmEHviaZ1eX9BoSDr3EhLOuQhBkqjL30TOvDeaOw3Tp8wiadQMHANNLcY5naWs+O0/bGz4GX/Y0+X3sy+67UWEQn4qKlvaBodCASq2/sKuH15BDrf9QN20AXKkUfnBBzi3baLko7cIB7u2sJOMJmKOPQWAujk/EfYHOh1jPUXZWHHnVzfnx3SV6PGZRE/IIhSUmf98ZGMPV5oEw0NpsR09rtGWdIsqGKqoqIBhYBbJf7sL/eB+yF4fpR+/Q+WPc5FD6saUyqGJbfwULCPHQihM5f8+IuQ88EVIgiAQc9UsJKOWhq2llH5zcIX12vUFVC/LQZQE7vrqOG7+cBqDpsdHLBxKRi3D/nYOkkmHb2deizxD06SR6DJTkb0+qhf/pJxvjsI+cRqxJ56GRr/3mb6hZCc7v3+Znbu+ieh9NAmGcihAOBQk3Nxh2CgY1u0VDINlVcj+AKJBgyktGoDiL9cRCoTJGBtNxpjoiO7dxIoP8/DUBzCmRZN24fhWxwP1HjY++Bnesno0CbEk/PF6pChTG1dqtCB99AXFgtRkIOWy35F80VVIJnO35qbSMwRJIum8S7FPPhaA2vfnKvtEak5vlxCNBuLvvBL7+aeCAKXfbGT9Hz7BV9X1glSV3kNj1jPisXMxWrUUbarjq0e754CmoqJy5KAKhkcBYuNDZ7ChexvmKgpp549DMmoJFJbiWbet165rmqhYjji2bIj4S1nU6TGkKF1V3eky3NthWB7x2L7A51PsbHTdEAy7fc9SpdpUl9Fx0L0gNQmGbW96iRoJ61Dl552/rmfe8LIs88VfNlK204E22sTwR2cR9gXZ8dSPAETNmIIuO53q15UuPtukYzD1H0zZnNmEHA3gCSDtsxAv37iQ2j3rQRAZOeQyjIbIFsU5u78HOYwtYziWlPbzCAHKNi3EWbYHQacn6aIrm39uXcE+YSpp19+Bxh6D/YzTcGa1/gqrzRRxuxX7JrM5iaioJMLhAPmu7uXABMN+lv/2NJu3fEiDY28XsCCIlK2eR0PxTuoLW34e+J215P33X+Q+/8RB3QT1lhSS9/yTNHz+Xecn94DMaRciGox4C/OomPtJlz+37JOOQWOLJlRTj6MLVbiiyUDUqUqnYF6EXYYA2TdORxBg0w+l7FlZHdHYwxGNvlEwPEQ6DAGiJ2QB4N+dT9iruhyoqKiAZLeQeP8NWE9Xushrly2i8M3/EqhXc3NUDj0EQSDh7IvQxsYTqq6j+tVPDkqeoSbGhvWCMwDY8/rSg7aJLofC7PnfIgAmXpxBQn8L6aOiufp/k1oJh2tvfIvir9Z1+BxoSotmyAPK+3D8tAzXivWAkkNuv/h0QMnebsoTTDjzfGJPPA2tydp8jXAwiKNkF1XV2yJaK2s0e7v5Qn7PPh2GTZakymeOJi56b3dhdjyCJBLy+Cn9WhFqj702u8v33BefO8iyd5T1eeYVUxCkluuWcCDEpj/PwZ1XjWS3knjf9Wjs1rYuhfPXdZQ//jKh2gZ08Ylk3HgvUUPbz0NUOTgIokj8zPOaC2Dr5/xE7YffqNndXUQQRWznzCDh3uvQWAw4tpWy5pb3qdtY1NdTOyoxptgZ+JdzESWB9V8Xs/rzwr6ekoqKSh+iCoZHAZJZEQYCDWqHYU/Q2oykNGYx1M/tveox4+ghjbakVfjLSyIfn6EsYpzlkecYmuPTyZh2AWknRR4k3xd4ffUAaM32iMbJ4RB1+ZsjslAECHk9zQtYbXrHHYY0LgLlYPsLBOvwVADy10beDbovi1/bzeYfS5E0AsP/eg66uCh2Pb8Af7UTTVIc0ZfMpOa9rwjVNaCNjSf+1LOoXb4E186tCBoN2TOuRtIqi2hZlvHUlgIwaMBZRNsjWxRX1+yiumYHCCJpk87u9HzdMaPRp6STeNYF6GLaz4RsD2NaJv3uerA5p8ORKSDLys/cW1/Jti//w/qNbxEK+REEgczMEwDI924hEI5csNCIOuJE5d9+z555za+LokRSYmM2S2M2ShNak41wvYOwx4M7Nyfie3YXX3kZ/qoKnBWRfxZEgsGeQP8TrgJRpGH9ahyb13dpnKjVEneSsjnU8M1Cwq7Oi1gsp0xDNJvwFNZSsTAyK+Ko/gkkzVQKMj7/8wa8js67Gg9ntAblM+hQ6jA0ptgxJNmQg2G82w/s76WKisrhgyBJRF86k/g7r0QwGvAW5pH/8tM4d/Se7b+KSm8hGQykXHI1aDR4Nu5Q7CAPApbGAsCQ20/OiwsPyj3L5m3BubsSg0XDjNsGtTjWLBx+MI1+k2IJ+sLkvPAzm/88B39t+52XcccMIOPyyQDUvP0Z/kLF2cY4fCCG4QMhFKJqwfctxjgy91pyWpL7I4gSXm8tbk/XMx0FQUSSlPVOyO8lHNq/w7BRMIy1489raUda+sNmgk4fsZlmhpyQ2OV77stvH+XjrgtgTLWTMKN1zEP+e8txbC9FYzGQcN/1zVmK+yKHw9R+/B3Vr36MHAhiHjSM9BvvRhcb3605tYcsy4Q8bkJuV4vXGtavpva3pdStXo5zx1Z8ZcWEXE6182gfBEEg9sTTiJ95LqAI49VvfKZ2zkeAcdRgEv5yJ9r0ZAJ1bjb88ROKvlir/p71AdFjM8i8Tuma/fbxLZRsq+/jGamoqPQVqmB4FNDUYRhQOwx7TPqF4xENWvz5JXjW906XoWjUYxipLMgc3bAlNQ8ZQfT0GcT0HxfxWI0hivih04hK6NhG8lDB1ygYRtph6K4uYff8t8h74cmIHjx9ZYqQJsXa27WHaWJvh2H7gqFtRJNg2P0q+h2Ly1nwgmKxmH3HydhGpFLy1XoqF+0AUSDupkvwrNuK+7cNIIokXXA5vvIyqn5SbHzSJ83CFLO3W1IQBLKOv5zRI68lNWVyRHMJh0Pk5HwLQMKwYzHYOl+86mLjybjxLiyjW9vytIUcDuPJzyXk3fv5JWj2ZvO5c3PY/PW/8daVozVaCAcDeL217N6jdFvGxw3DbEogGPJS4N7c6vpdYUDURARBpKZ2F7W1ezt5k5OV91BXsJWAZ68YLYgi9kyl6te5tXudjd3BX6l0Chvt3dvYiARr6mCSRyv5M5Xff9ni36cjLKPGo4tPJOz20jDvl07PF40GrGc0ZRmuiLzL8ObjMSTZqC/18O2TR/ZGtFZ/aGUYNhE9Xvl+8W7Z2cczUVFROdQwjR9B8qN3ouuXRtjlpuSD16n88Wt1o1XlkEOflErimecDUPf5PLw7DnwRjCCKxF53PoIkUvXLLqqWHVh776DbT95bywA48ZaBmKN1bZ6XPjqa616fzJkPDkOjE6lZmcvGm9+kekX7meFZ10wjenwmYW+Q6jc+be7Asl+kFJI5Nq7FW6p0FYUDARxbNlCxVXlOlLR6opKUgsaamsieJZpsSUN+D9H9RtP/oX+QfPFVyMEgQYeyrmzRYTggATkUpvjzNQAcc00/RKntPMGO8LmD/PK2smbIaKO7sGFrCQWzVwJgv/oCdKmtn93DLg8Vz77TLFDHTD+JlMt/h2QwRDyffZFlGX91JY5N66j88WsK3/ofu594mN1PPEzZlx+3OLfsq4+p/HYOFXM/peSD18l/6Wl2//MRch57gOKP3mx13aOZ6CnHkXT+5SCKuJatpfLFD5C7EMGgoqBNiCXp4VsxTRkDYZndLy1k+z+/J+RTf4YHm/SLJxIzJZugP8zs36894otuVVRU2kYVDI8Cmi1J1QzDHqO1mUidNQaA+l70qDf3wJbUlJVN/ClnwZSOrSCPBPZaktojGueqyAPAkJrZboh8m/frYn4h0NxhGO6ow3BoMoIAtUVuHJWR/z1W7nHyyQPrkWVIPms0KWeNon5zMbsbrYOiL56JZLNQ8+6XAMQefwq6uARKP30PwmGi+40mbshUQOm6bPpds+/xExs7KKKfDUBp2Wpc7gokvYnksad0eG44GGiuFhYkqdN7hX1eapcvIe+5xyl84wXynn+yzc6DmqU/468sJ3fJbESNlszpFwFQVLyc2ro9CIJIZkajraVrA8Fw5A+8Jo2NdOMwAPbk/tT8epQ5EYslDeQwNbvXthgTnaX8TTu3bTpotjRNgqHhIAiGAEmjT0JvjSPkdFC9X2V4ewiiSOyMxi7DH38h5Og8C8hy8lREixlPcS3l8yMT/TQmHUMePANBhHVfFbF1/uGR19odNM0ZhofWRvtewfDgdduqqKgcPmgTYkl66BYsp0wDoHbZQtWiVOWQxDpuMpbREyAcpup/HxFqOPBZ1br0ZCyNhVO7XviZoOvA2XsXzl6Jv8ZFbIaJyZdndXiuKApMvbIft8w+hsSBFlw1fjY//CW7nptPyNv6WVuQRIY8eAaSUYs/rxj3yk0A6LNSMU0ZDUDVT0oRore4gNKP36F49ffNuYO2NKVDr7omMtFUq1HEtaDPjSBKSAYjkslMoKEeZBlBq0GwmPHnNwqGAxOpXLoLb1kDpmgdY89Ji+h+TaycnY+71o8x1U7iSUNbHAt5A2x/6gcIy5injsU8cWSr8cHaekofewnvxh0IOi1JF11F3ClnIog9276TQyH2/PMR8p57gtJP36N22UI8ubsINxb+SQ4/lnwZS76MtQDs6cOxZ43Clj4MY2wqGkOUcp1gEIG9azk5HCbvuccpmf029WtXRuzqc6RgHTOBlEuvVbqR122l4pm3CXtUS/6uIup1xN18CdGXnwWiQMX8bay/ezbe8oa+ntpRhSAKDLn/dPSJVmoK3XzxcOR7lCoqKoc/qmB4FCCalco61ZK0d0i7aAKiQYM/rxjPhh29ck3jmKGg0RCorsRfUdor1+wqPkc1VTtWUFl16HffBIJuIHJLUmdFPgDG9Mg6KfcKhh3nF0LXOgw1UXpM2UoXXqQ5hjuWVPDGdSvwOYNYR6Qy4PYT8VU72frY18ihMKZJo4g6ZRrVb3xG2O3FkJpBzHEnUzXva4J1NegsMWQee1GzUFe4/Ev2/PwuIX/3O49FUYukN5Ey9lQ0+vY7MEMBH5s/e4KKb78g7Ov4cyhQV0vlD3PZ/Z9Hqfz+SwK1NSAIhJwOSj54nbIvPybk3XuNxFkXIxoMuCsLKNu4EGvqYOIGKZ2S27d/QSjkJyFhFAZDDAHZS5Gne7/n2ebxCIJEfUM+Dsde6+DkJKWzt3rnqhYP0paUAUg6IyGXE09+5Pmi3cFf2WjxZE86KPcTJQ0Z0y4AwL1nF+FA18TYqKEj0SenInt9NHy3uPP7GPT7dBkuj9hy0zYilbSLJwHw5aObcFQdmd+FGl1j0cIh1mFoH5sBokCgpIJgjWpro6Ki0hpBqyHminOIv2N/i9ItfT01FZVmBEEg8ewL0MUnEqproOqV2QelKMx2zkloEmPxVznJfbNzd4bu4C1voORzxWL/tD8MRaPt2jZR0iArt8w+hmlX9wOg5OsNrL3tfZy7K1qdq4s2k37JRADqPv8ROag8r9jPPxUkCXfODty7d2LM6IfGHk044KWuQPkMsDYKhrX1ewiFul78N3LElYy89BEsyS0La4N1SjyEFBtNuKaesMuNIImYMmIo+kT5OUy5LBOtoetZ60349+0uvHxyq+7C3NeX4imqRYq2EnPlOa3Gh5wuKv71BsGySjRWO+m/uxPryLERz8NXWU71onmUf/N582uCJCFZrAiSBlNcOnFDppJ57EUMnXUvY695koGn39ziGv1Puob+J13DgFOvZ9i5v2f0FY8y9tp/MuLiP5M18uxmcVFaW0igphrn1o2UfzmbPU/9lYJXnqVu5TLCAX/Ecz+ciRoygrQrb0Qw6PBu2035U68RcnZeIKmiIAgC1lOPJfG+G9DajDhzKlh72/vUri/o66kdVWitRob95SwkjcDWBeUsfz+vr6ekoqJykFEFw6OAJivFoGpJ2ivo7CZSzh4DQP1X83ul2kY06jH2wJY05PXi2rmNhqLIBcyG4p3k//IpxcW/RTz2YDN54j2Muer/MMdFVu3pqlQEQ0N6VkTjfKWKMNSVDkOhCxmGALbhivjY1RzDgDfE1/+3mfduW4Wz2oc5K47hfz0bBNj62Df4q11oUxOJ/d0FOBcsx7s1R6lEveByBEkiZvrJGPsNoN/xlyPplOKBmj3rqdz+K3V5G2FD98Us0zFTGXHRn4gfOq3D8yq2LCXgqse1axuCRtvmOd7SIko/eZfcZ/9B7a+LkD0+NEnxxFx9LmkvPIzltGNBEGhY+xv5L/0L9x6lwlhrs5MwU7GIKlk/D3d1MWmTz0ZrtuHx1lBQuBRRlMjMOB5J0iPTvb9Xg2QmUd+4GVK6svn1xITRCJIGT20p7uq9Ae2CKGHPHA4cHFvScMCviKuAIfrgdBgCWFMHkX3StWTc+gdEbdv/tvujdBmeAYBjwXKCdZ1XjVpOmopkt+Ata6D028h/nlnXTMPcPx53rZ8v/7rpiKyS1DZ3GB5agqHWYsAySBGxvVsOrJ2aiorK4Y1pwv4WpW9Q8d2cLhekqKgcaESdnuRLrkHQafFuyaH+658Pwj21xFxzHgAlc9fTsDXyzPvOyH19KUFfmH4TYxg6I7LnSK1eYub9w7jmlUlY4vW4C2rYet9sPCV1rc5Nu2ACuhgzwcoaHAuVtac2IRbLCUphV+2vixFEEesoxfa/JkexBjXYE9GabcihIHX1XbeDNRpj0JltiJKG2twNlH31MY4tG/bmF8ZFN3cXmrJice4sx7GzHI1eZPKl3YvsWPlJAa4aP4ZkG4knD2txrHZtPsVfrgMg9voLmwu7mwh7fVT8520CJRVIFivp19+OIaXr695AQx1VP/9A3gv/JP+Ff1L98w/Ur15OyO1qFvcGn3gDY69+nKGz7iHzmAuJGzwFU1waYjtrtP0RJQ16Swx6S2zza6a4NIaccw/JY0/F1LhO9xYXUPHN5+Q+/RiOLZHvbxzOmLIHkn7NbYhRJvy5RZQ//grBWrVoLhIMQ/uT8Je70GWmEqj3sPH+zyj6fM0RuYY7VLEOSabfLScC8MPT2yhYrzo/qKgcTaiC4VGAaFYzDHub9IsnIuo1+HOL8G7tHZs10wRFXHB1o5rauXUjxe+/Rsn6eRGPNTbm2Tldh75VX8MAA5LOiCB2vdoz4HHgdyhdaoa0jC6Pk2W5udtTm94FS9LGXL2gy9eh135TjuG2heX43B1v7Ps9Id69dSW/zVYEz9TzxzHupSvQRZsp+XI9DZuLkUw64u+8CmSZus8ac/tOPQddXIIy9+gYhp54C1GJ/ZqvW/TbXADS044hJqbrVrayLFNXl0te/kLq++uVt603dfjv4SjbQ+nGBQDEzji9uRNzX3wVZRS8+hyOzeshHMYwtD/x91xLyuP3YpkxBSnKTMxlZ5H4wI1o4mMI1tVS9Pb/KH7/dXxlJVhGjydq6EgIhchd9AEIImkTzwagoGQZgYCb5KSxTJtyP6njz+ry+92fdONwBEHE7a5qXqxotUYS40Ziy1CO7Yu9yZZ0+4HvkAhUV4EsI+mMzXZBB4vorJGI++RKdgXzoKEY0jKR/QEavu1Cl6Feh+2ckwDI//C3iPMsRK3E0AdnImlFdiyuYMM3xRGNPxzQ6ps6DA+9jfUmW1KPakuqoqLSCc0WpaceA0DdiqUUvPosvopD/zlV5ehAn5BE4lmKBX79lwtwLll1wO9pHDYA87HjQYZtj3+Hv6b3OpZ8VQ4qFm4H4LTfD404oqCJgcfEc8cXx5E6woanIcDGBz5rJRpKRi2ZVyvxCI6v5hGsVIrdLKcof++unO34qyuxNmad1xdvx++sRRAEojNHYU0bgih2TdjaH2d5Hg1rfsNbXECgthoATZy9RX5hzWplzTX85CTMMfrI71HlY8nryrPO/t2Frvxqtj3+nXKvGVMwjhjUYmygopqyf/wP/55CRLOJtGtuQRsdS1fwlZdS+vmH5P7n/6hZNE+JKZAkrGlDyTzmIiwle9dfOrM9orV0VxAEEXN8OinjTmPorHsZddlfSZs8C11UDCG3C609ulfvdzhgSM0g/do70FhtBEoqFNGwShVcIkETF03in2/BPHWskmv4v0Vsfewbgk7V5vVgkTJrDPHHDyIclPno92twVKo/exWVowVVMDwKkGzK5rG/ThUMewtdtInkmUreQP3c3qksNY4eAoKAr6ykeRHT5bGZihjkripsznro8thopfPD73fg9x95dhnuKqXrSxcbj2QwdnJ2S+SQkgUmGjpfMGoT45BibIS9Acq+39zueTGTs9HHR1FX7OG5sxfzy9t78Dpb/5sFfCE+uGs1uatq0Js1jHzyAgbcdiKiToMclin+SqlOtV10JtqkOLxbc5D9AbQxcdgmtuz423/hb05QhNP6hgJkuXMrpVAoQEnpalateZG1619jT+5PeOrKOx3nKNvDrp9eQw74MQ0YjGVE23Y6lT/OhVAIXf8Mkv9+F4kP3IhpzJBWOR2GIdkk//1uLCdNVQLld24l/39PU796OQlnX4hkseKtKyf/l0+x9xuFMSYZc3wmwaAPUdSg1Ub2778/MboUTk64gbFjbmjxMx065EIGnPI7TLGpLc63JA/APvlY4k4644BbVoX9PrQxsRiiE7u90dMTLPkycihE7a+LCbo6z/QRBKE5y9C5eGWXsgyjjpuIFGsnUOum/MfIRVhzvzjSr1L+Nn54enubf3eHM6GgImIL2t7dBOoN7GPSAfDtzFUrg1VUVDpF0GqIufxsEu69FtFixl9eSsEr/6Fu1a/qZ4jKIYF1zATsU6aDLFP95ufN3XIHkuhLZ6KJj8FbVs+mh77otTxDrdWILtYMQHlOz7LnzNE6rnhuAtFpJryl9ay/dzbOPZUtzkk+YySWIUkEnT4qX/oQORBEmxSHYdRgkGVqlsxHF5+IMas/hMOUb1IKy9KnnsvA024k2t6vrVu3SVXVdgpXfEVd/mbCQcUaU9TqCNRUAaBJiMVfqBSIRvVPoGGbIh5mjo+J+L3LssyXf9uIuy6AOTuexFP2dhe6C6rZ8MdPCNS50WWmEH3JzBZjPRu2U/a3FwgUliFao0i78ib0CV2PGHDv2YVjw2oIh4lKyibr+MsZfdmjDDztBuIGTULSRi5+9gStyUriiOMYcdGDDDztJuKD6c3HPAW5zXa0Rzr6hCTSr78TbXQswcoayp54hUB5VV9P67BC1GmJvelioi8/C0ESqVqykzW3vY9jV+d7ESo9RxAEBv3hNEyZsTgqfHxy37q+npKKispBQhUMjwJEqyIYBmqPPDGoL0m/ZCKCVsK3Ixfv9p5nlElRZvSDlQWQc+umiMZqY+KQLFbkUAhXZWT+7pJWj67RUsR1CHcZVlfvJGfe65RvXhLROHe10kmkj8DOBRpFtkbhpStij6CRsJ2lWDYUzF7Zri2gxqxn6MNnoY020VDu5Yd/b+Pfp/zMj//ZRkOFkq0WDISZfe9adi+vQmeUGPqPC4mZkNV8jZpVuXhL6xHNRszTFBHOs3EnoHRuCYJAoL6O8q8/w/3NolZzSJ9yLqJWT0NDIcUl7W9weL117N7zI78u/yfbd3yB01mKIGmIGzQZUeq4o8zZJBb6/Zj6DyLlsutaCYAArl3bce/aDpJE3E0Xd5oXKRr1xFw1i5TH78U0YQTIMhXffUGgpoqUi68GUSRgkkGWGXzm7Qw8/Sb8I/YuuGVZpizBS7WvqIO7tI0gCEhC6/fdnkAnafX0H3Ee1jET2nzvvYkxox/97vkzQ86684DepyOq3vuAyh++ouqnb7t0vqn/IPTJacj+AI6flnV6vqCRmrMMCz9Z3WFeaHukXzgeY2o0ziofP790ZNljBrxKgYOki6zb82BgHZKMIImEauoJqdXVKioqXcQ4eggpj92DYcRA5ECQiq8/o+Sjtwh1oTBFReVAE3/GuYpoCNS8M4eGH5Ye0PtJUWYS/vg7tHYl12vL3+YSDoR6fF1RpyHtAqWjb+mbuwmHeibKWxMN3PTeVBIHWvBXu9jyxw+p38dGVZBEhv3lbDQWA/7cImo++gYA+yzFSaJhwxr81ZXEHHcyAJW7VhDw7BUym1xOukJdfR4VW5bgKN3dLBgKOj3+akXE1CbFEShU1r+mrFgc25X/nz4q8o64tV8WsX1RBZJWZMiDZyBqlAIud1ENG+77lECtG216Mgn3XY+o1wHKGrNuzk9UPPuOkkGflknmjb/HkNq+K44cClG/biXOHXtz2W3jJhE7cCJDzrmHwWfeTuyA8Wj0PSuU7A0EUcKaNhhQigt9FWUUvf0/Cl57Hn9NZAXShyva6BjSfnc72th4QtV1lP3jZfyFh+6ey6FIc67hQ7cgxdrxltSx7q6PKPl6g1pEdBDQmHSMeOxcTHYtXseRVXCroqLSPqpgeBQg2SwA+GvdfTyTIwt9nIXkM0YAvddlaBrfmHm2LTLBUBAETJnZytiyyMVLU4xiuXko25I6nKXUF25rkRPXFWL6jyPp/MuxjZsc8T2bRZ5w1x5Eo6ZPQIq24q9yUvZD+12GtuGpTPngRgb9/hSM6dF4HUGWvrmHp0/9mc8f3sDse9ewY0kFWoPI0McuaLYxbaLkq/XN9xP1OmRZxrNJya80DxwCQKC6kvpVv1K1s7UgqDPbSZ2gVLbu3PU1JaVrKC5ZRW3d3t8dl6uCX1c8RX7BYgJBN7qoaFInnsmoSx8hc/rFLXIr9icU8JGz8G1FLMweRMrlv0PU6lqdJ4dCSnchYDl5KtrEuHavuT/apHjibr8C06RREApT+sm7aGPjybj5HpIvugpXtrY5s3FfSktXs37jm2xz/NKjBcb+nZnWHC++hip8DUfH4rctEoYdC0DD2t/wFOZ1er4gCMQcp2wOOeb/Stjj7XRM1PQJiBYz3rJ6KhZFntkq6jQMuGMGACs+yKN8V88q6Q8lmgRD0dA9q64DiWTUEjVQsUn27srv49moqBye+PJL+3oKfYJkt5Dw++uIvuxMkCRc2zeT99K/ce3e2ddTUznKEQSB+DPOJfpY5bmidva31PVSvn17aBPjiL37ekSDlrp1Bex46gfkLq5TOiL5rNEYrVqqcl1sXdDz9aAl3sANb08lfbQdb0OQLQ98Qs2qvObjhkQrQ/6krEWcP6/AtXw9+v4ZSpdhOEzN4vmY+g/CkJqBPimVoHdv4bPfVYfb07XnbUlSnonCocBewVCrJdAoGErRtmZbVFErEnL70RklEgZEZu9fW+zmuycVAS/j2mOIyo4HlKiKTQ9+oWTOpyWReP8NSFFKN6fsD1D5/HvUf7UAZBnbxGmKsGSzt3kPORymYeMa8l54kvI5s6le8B2yrOQS2sr0ZB13Keb49DbHHirocuoQtDp8pUUUvv48vrLez+M8FNHa7KRffwf6pBTCDU7Kn3wF3+7IirxVQN8/g+RH78I4ZihyIMSu5+az7fFvCbr9fT21Ix5jip0hj1/CwCev6OupqKioHCRUwfAooMmSNOjwttv1pNI90i+ZhKAR8W7Nwbsrr8fXM41TBENPYR5BZ2Qb2cas/gA4ynZHfF9jk2DoPHQFQ69X6UrRR0VmEaO3xGAdMwFT9sDIb9okGIa6Vr0raDVYZx4PQMFHKzus+hV1GpJnjmLiG9cx/LFzsY1MJRSUWddYnarRiQx99PxmK78mPMW11KzMBUHJvwDw5eQTqqlH0Ouafw+CDXUAaE22Nu8fP3Qa5gQlV2z7js/ZsXMOhZ7N1PfXU99fj2+osrlvSR5A/5OuZcRFD5E0agYag7nTn4N7gIGkC67APGhYu2IhQP3a3/BXlCGaTdjOmdHpdfdHEARir7sATXI8wYZ6yj57H31iSouOP1kOE/A42FTxLU5XOfHxI5AkPc5gDaXeyPPUnMEaVq1+kZWrX2jxem7efDZ/+gTlmxa1eF2WZbzFhdQsa/n6kUhUYj9iB04EoOKbL7rUmRs1dCTauATCbm+X7LxEvQ7rqYowWfjRym5tksVMzCLu2AGEQzJf/2PzEVOZ2iwY6g+9DkMA20il8MG3M7ePZ6KicnhS/eLbzdZ5RxuCKGI9bTrJj9yGJimekKOB4ndepuK7OYQD6kahSt8hCAJxp5xJ7ElnAFA/Zz51H39/QJ8t9P3SiLvjKgRJpGLhdva82nkWdGdoTDoSZildhktez+mV+RttWq57bTIDj4kn4Amx9S9fNGclAsRO6kfGFcpapuadz/EXl2M/V+kqbNi4hkBNFalX30z6DXcSHKOsVcs3LWLT7MfIzVvQpTlIkrIGCQf8hJo+K+QwYZ8PBAHZp7ymi43CU6isNVNH2pE0kW2TffOPLfhcQazDU0i/cELz6zkvLcRbVo8Ua1fEQstesbDi+ffwrN+GoNWQeN5lJJ59YZuZ4LIs49y+hfz/PU3ZZx8QqKlGY4giLm0slryed5geTKypgxk+6w8YY5IJOR0Uvvki7ryeOzUdDmiiLKRddxuG9CzCLg/lT72Od1vk+zZHO1KUifi7r8Z+yUwQBSoX7mDtbe+3sj5W6X0sgxLRWg19PQ0VFZWDhCoYHgWIJiNIiiWGv07tMuxNDIlWkk5VRL76r3reZaiJtaPLSgVZxrUjsowuY2OHoasiHzkc2eLBGK3YQB7KHYZNgqHOEplFjCOz+3luTR2GkSyaLcdPQrJb8FU6KOtCzpogCsRN7c+YZy5l7AuXEzd9IPoEC0P+di7R4zNbnV88dwMAxpGD0SY0WskuW6vce+joZnEuUF8PgM7ctmAoCCL9jr+CAadcj8GehC19aLNwDIqd5ugrH2PQzFuxZ43s0FJTlmXqC7dRuX1588/bPHAIKVdcj6hrWywMeT1U//wDALZzT0Iym9o8L1BRTfm/36Dyvx9Q/91ivNt2E3bv7UQTjXri77gSQa/DvWdX8zUDdbXsXPUBhcvnUPTbV1RuXcaePfPQao1kpCv2UTsdywnJkRVR6EQjDmcJLlc5gcDeXFiLRRFDGkpb2lyG/F4KXnuOqh/n4q+qiOhekVDy8Tvkv/IMjm50GPcmqRPPRDQY8JUWUb96eafnC6JIzHRFLHb8+Auyv3ObE8uMKUgmHa68Kqp/69777X/LCWgNInmra1j16ZFR4RvwKQKtdKgKhiMUW2jfzry+nYiKymFKyOmj6ulX8Rcfvbk9usxUkh+9s7lgqm7FUgpefgZvaeQ24yoqvYUgCMQefwrxp88CoOGHJdS8++UBza82jhhEzPUXAVD02RoKP13d42umnjsOrVGiZGsDOb/2Ts6azqThihcnMPL0ZEJBme2Pf0vZvL3ro6yrp2Ifm0HYG6Dqvx+gTUnAuE+XoWQ0tigENMUqzxK1tbu7tD4TxcYOw6CfcFDJfAx7lXWEFGsnUKaIDOZ+cTRsUwoy0kfZI3qPhRtr2bGkAlESGPzH0xAkZc1UuXSXkrktQNxNlyA1xsTI/gAVL7yHd/NOBJ2W1KtuxjZ2YpvX9hTmU/j6C5R8+Ab+8lJEg4GU8Wcw4uKHSBo9A0E89HKrO0NntjNo5u1EJfYj7PVS/O7LOLdHnk1+OCIZTaRdfTOm7EHIPj/lT7+Fe93WzgeqtEAQBGxnHEfin25BirHhKapl3R0fUvr9piOmEFRFRUWlr1EFw6MAQRSRrEo1W0C1Je110i+dBKKAd/NOfHsKe3y9pi7DSHMMdfGJiEYT4aAfd1VkGyeW5P4MPONmRo+8JqJxB5NmwTCCDkNPXTm1vy7GU9RNCzyhqcOw6wt+QafFekZTl+FvhINdF2+tQ5MZ/tdzmPLhTcRO6tfqeMgToPxHxerUctJUQFl0ulduVMaP2VvR2tRhqDPb272f3hqLLWMYwy+4jwGn3tBsKdmERt+2iNeEHA5Rs3st2778DznzXqdw1deEPHs/Y9rL9gOoWbKAkMuJJikey4lT2jwn7PZS+ew7eDfvwr1qE3WffE/5P1+j8La/Ufzg01S9MpuG+b+iiYsm9rrzG687H+eOrQRqq3FsXEvljhXEZI8DQaSqeht1dXlkpE9Hr7fhDTvJc63v8D3uj040YpKsADQ49v6d2W39AAFffSV+V33z6xq9EWuy0t0a6d90JPhKi/AV9/zzp6dojRZSxypV9lULviPk8XQyAqwjx6Gx2QnVO3D+sqbT80WzEfMJyu9/4Ue/dWthaEiykXGdkof4w7+3UVt8+H83BjxNHYaHniUpgG2EUpgSKKkg5FAzlVVUIsWcHUegzkPFU683b3IfjYh6HbFXn0vCvdciWqPwV5ZT8Opz1CxZcEAFGhWVzoiedjyJsy4GQcC58DeqX/8UuYsuJd0hatpYpcsG2PPKYsoXbOvR9bQ2IwkzxwCw+LXIXTjaQ6MVueifY5l0cQayDDnPzKNhuyLOCZLI0IfORBcbRaCkgrov5mHbp8uwKWsw6HJSvWs15sQsRI0Ov9/B/7N31uF1lOkbvmfmuMfdmrq7ULS4Fndb3F0XW2CBRZZlf8gusLCwuDsUipa6aypJG3c/7vP7Y5K0oZKTNGkqc19Xr7Y5M/N95yTnZL7ved/n8Xi6Lp7o6DAMBzosSaNB5W9NgqMjv9A8YBvBcEz3ilN/+ZdSLJh05HBMWco6NdDoZtM/fgDAdsLhGIYo6zo5FKbuhbfxr2kTCy+4ElObO8yOiHjd+MtLELRaUkfPYNSZ95E29igkbew5jnsjGr2RQcddhT1rOHI4TNX7/8VXemB0Gop6PekXXI552EgIh6l//m08C1b297T2SQyDckh7+CYMo4cQDYbZ9Pcf2PjULCJ+NWdPRUVFZXdRBcMDBDXHsO8wpjtIOXo4gJJBsLvXa8sx9BRvIuLvOtOrHUEUSTvjAnJuuAtTN/MLNAYztvTB+IbtPJeuP5FlGX+gBVAsRmPFWbGB+llf0PR7D78v7R2G3dyAshw+GdFmIVDrpHZ271UN1v28nrA7gCYpHsOowQB4V20g6vWjsTk67EgBwq0tAGh30mG4O0TDIerXz2ftx3+j+Nd38DVVIeh0OCZOhRjEm1BzI80LFfukuHNPQNBsXx0rRyLUv/Quoao6dIkW8i4/mMRDB6NPUcS6cE09ngUraX77S+r/7y1Mk0d3iKg1n7+D1hGHeehIiEap37CAxMGTAdi85XtEUUP+gOMA2OJdiT/SPfHCrk0BwOnc2pmm1RqxWhRBxFXdeZPFkTtK+fr61d0aJ1ZkWSbsbO8odfTJGN0haehBGBypRH0+mhd0bZMlaDTETT8CAOd3c2LaXLMdczCCVsJZUE3r6p51lmScNh7byAyC3gifPbR6n69IDQfaBEPd3tlhqLWbMGW3baT1goW3isqBxoiHT8U8IIlIq4vaJ18lVHfgZuYCGMcMJf2xW5X75kiEhh+/ofz1Fwk1H9ivi0r/Yp8wldQzLgBRxDN/BQ0vvYsc6rtIENtxh2A9Vin42/jULJqWlezW9bLOnICkEShZ2kTZiqZemKGCKAmc/MBIhh+ZQiQUpeDhrzqcj3RxJobcfgwA7l8WIsXZt+kynE00GKT4H3+lZM57+FvqsKQqrjpNzV2Lmu2CYSQcZPAJ15N3+wOIekVsk+LsHTbPxnQHvlLls6M7HYblq5vZ9Hs9oiSQc6FSACnLMhuf+Z6w048uJx3HaYoAKofC1L/wNv7VGxWx8PwrMOUN7HQ9WZYJNW993c2Dh5Mx+SRGnflnMiad2GUx576EqNGRf9SlJAyaiHnIcAyZ2zvr7K+IWi3pZ1+CdcxEiEZpeOUDXD8v7O9p7ZNIVjPJt1yC48xjQRSonV3AihvexVvRe59fKioqKgciqmB4gNBugRFsVqv6+4Ls86aAKOBbtYFASeVuXUubnowmNRHCEbyF3asUNQ8ehj45FUHYv97awaCbaDQMgtAtQcTbqHwvDKkZPRq3w4azm4KhqNdhP17pXip+bW6vWAH765yUvq0sJKxHTuuYm2d+mx3pmPGdbEP7SkBqrdjA6vcepmz+JwRdTUgmMwkzjmfAbQ+QdNxMJFPXGYf1s7+BcATD8IEYxwzd4THN73+Df+0mRL2GkY+eSvZ5Uxjx4MlMfedKpn18LSMfP52cSw5CNGjwryuk9YufiDv3RHQDsoh6fFS9/yYJM44DUaS1vABr+iAESUurs5SGxg2kJI/GZssiEg1S6O46O29bHB2CYWehKi5O2cDYTjDMGQmCQKCynFBLc7fGioWI14McDgMCWpOt16/fXQRRJH38MZgHD8cyZERM59jHT0EyWwjXN+FZ1LWwKjmsmA9WOmrL3lvcw3kKDL3zWLQGkS0LG1ny4b5tTdqeYSgZ9k7BEMA+SrUlVVHpKVqbgdFPnokpJ4FIs5PaJ18l3ND7v1P2JSSrmaQbLiTh8jMRDHr8ZcWU/OtpWpYu2OeLQFT2XWyjx5N+zqWgkfAuW0fdP98kGuibrE1BEIg75wRMU8YgR6IUPPL1bm2U65OsJB09EoDf/tO7+WqCIHD6Y2NIzDUTqHex/vFvkNtcXOIm5WIbmYEciuD8+petXYarlhF2tWIeqKwXGouWYktXiiabYxEMxfYOwxAavRGtPY6I26U8FmcjWL41jkOWIS7ThCUh9u69n19SuguTjxqOMd0BQNWXK2leUoKo05Bw1TkIGk2HWOhbtWGrWDhgUKdrhV1Oqt55jbKX/0HY7cJaKmMrg9RRR+wV9/d9gSBK5BxyLoOnXITQFqEjR6MHxOe3IEmknnYu9snTQZZp+t/ntHz+4wHx3HsbQRSxn3QEKXdegWiz4ClpYPl171A/Z1N/T01FRUVln2X/UhVUdorY3mHYpAqGfYEpM47kI5SFTOsXP+7WtQRB6LAlda3vOwvDP+KuK6ViydfU1KzYY2PGSjDkRtTq0Zkc3cpqaBcM9WmZPRu4zVJT7oataDvWI6ehzUgh1OJlwxPf7pY1RjQYZs09nxCod6FJScByqJJzEfF48a3eCIBtzMRO54SdLeiSUtBZumersyPaFy6uHIHIyDQi4QDauHiSTjyNvNseIOHwo2MSCgH8lWW4164EQSDuvBN3aFvqXboW1+z5AAy9+3isg1I6Pa5zmEiYnEfuRdMYfMvRALR++RP+jVtIuv4CRItJydBbMh/HpIMAqF39S4fl6pYt3wMyg/JPxGhMIH5A59euK7Z2GJZ3WtTFOXYsGGqNVizJihWRe0Pvv6fbu0k1RguitHeIRXF5Yxh6yOUYMmLrdhZ1OhxTFZHd+c2vMS2WbccfCqJA89ISXIU9y/QyZsSRfZliITzrmfW0VHdtobq30i4Y7q2WpAD2kUrxhl8VDFVUeoQuzsSYp8/CmBlHpLFFEQ2bWrs+cT9GEAQsh0wk7dGb0Q/ORfYHqfvyIyrfeoVQ2+9HFZU9jWXYSDLOvwJBp8W/tpDav71CqLZ3cgH/iCCKJF5xFvqBOUQ8Adbe9xne8p6LhlnnTEIQYeNvdWz6vXfztw0WLec9NwGtUaJleRlFL/2CHJURBIHcS5V7dvecxYgmo1JUKMs0/Pgt1jETAGjavBxLmnK/3dxSTCSy6/WV3Z7D8NPvZODRl3d8rb2oUtRrkX1+BEkk2KjskWSNccT8XIqXNlI4V+kuzL5A6S5sXVfJllfmKGOfdTy6jBQiTjd1z72hiIVaDRnnXd5JLJQjEZoX/U7JC0/h2VRANOBHWF4S8zz2dQRBQJQ0WEtlZFmm9osPafzl+/6e1h5BEEWSTzyd+MPa1rOf/9jn+af7M4Zh+aQ9chP6wblEvEEKHvmKohd/Jhrsuy5vFRUVlf0VVTA8QJAcbYJho7ufZ7L/knNBW5fhivX4C3uYmdeGaaJS2ekpLOjIWYgV58qlbFr8Nr6m6m6d560vo3b1L9TV7zmRMlasljTGXvQYw8+4M+ZzopEw/lZlkatPS+/RuLr4RAB8K7ufCSLotCRedTaiTkPzslJW3fkRodaedRpWf7cWb1kTos1Cyl1XIpoMgJJfSCQKgoDW3lkYTDjqBLKvvR2DI7lHYwJEgn4ql35L4bL3cOUowp7W7iD7ypvJvfnPxE05BFGn69Y120PtTRNHostK2+Ex/g1KhkXaCaNIOnTwLq+XctRw0k4aAzI0vPIhglZD4tXngiDQumQ+huw8BJ0Ob2MF5uQcRK0Bj7eOxqZC7PZspk6+laSk4d16DmaNYvMaCnuR5a1iss2miGNBVxPRcOcNDFuG8jz8lT2zz9wVYbcTYJ+vPnZMno5g0BGqrMVf0HXVuDY5AdPk0QBUfrq8x+NmnDoO24h0gr4I3z+7ocfX6W/cjW2ZPNa9N9fG1iYYhsoqlc8vFRWVbqOLNzPmmbMwpDsI1zcpomHzgS0aAmiT4km55yrizj0RNBq8RRspeekpWlcsUTs2VPoF88AhZF58LaLZSLC4guoH/w/Xb33z8yhoNSTdcCFSggNfZQvLr3+HhnmFPbqWKTOOlKOV4tV3blxK4bzezUxNGWjl9EeU+7eqL1ay8e/fI0eixI3NxjE+GzkUof6ld7CddISSB7luFRGPW3Gi8LkIuJrQmu1EoyEamzbuciyNRo8xLhWtyUbp3I+on/VFh22x3FbMacpNwF2krBkzRzpieg4BT5hP71ccMVKOG4Ux3UHzslJW3/0x0UAYw+ghWI+cRqimgeqHX8C/rghBpyX9/Csw5W9d23g2raf0xaep/+Yzoj4vxoQMhs28TXEnOQARlxTjXLGY5t9/Ith0YNhLC4JA4pHHk3zSGR35pw3/eq9PrYz3ZzQOGyl3X6kUlgKVn61gxY3v7lYRhYqKisqBiCoYHiBo4pQN7kC9Khj2FabsBFKPVW7uWz74drcWg7q8TKQEB3IgiKebtqSuNStwrVmBs7J7FgzGBGUj1+XuntC4pxAEoVsB7/6WWohGEY1GNDZHj8Z0TFE60lw/L+yRlZAuJ4OkO69AYzXgWl/Nipvfx1/TvU29aDBM2buKZaZj5pFoEhwdj2ni7EjxdpBlfBWdRWrHxGmIGg3u3Ng7MtsJ+VxUr/yRtR//jZpVP+FatQx/9Vahy5CR1cn+tDv4y0uUawzL3+kxUX9AOSYttvzF/GsPw5ybSNTppuHVDzGMGIj1KCXPsHXRXOzjlPzCpqJlpIw8lOSRh2ExK12CPbHvFQWJOEc+8XGdrYQ0GiP5A44j99DztjunXbgNNfV+dXnUq1RFaw2xdXnuSfTrmqj79jOaF/3e5bGS0Yh9jPK9cv0wL6br245R3qN1v27scQe9IAoMuvFIBAHWfFdFyfJ9b0EpyzItVUpBgjHN0b+T2QWGVBtauxE5HCVYtnf+rlFR2RfQJ1oZ8/RZ6FNshGsbqH3iFcKNLf09rX5HEEVsxx1C+iM3oRuQhezzU/vZe1S9+zphl7O/p6dyAGLMziXnmjsw5uYjB4I0/fcT6l94m4ir911/JIeVtAeu7+iuWffQl2x57fcO28/uMOiWo0k8dDCRsMx7tyyjcm1Lr8511PHpnPHYGERJoPb7dRQ8+jXRYJihdx2H1m4kVFaNZ/5yHGco2Yb1332GZZiSCd6wYQEZE04g74iLSIgfEtN40XCQho0LaZ7/W4czR7hF+Uywj8zAXaQ4VaQPj23t8c3f1tFc4UWfYmPAlYfSuGgLa+7/jKg/jGHkIJKuv4BQRQ01j/+bSGML2oQksq+8BXObWChHo9R89h6Vb79KsKEOjcFC9kFnMOyUmzHGpcb8Ou5vmJNzsaYPRo5EaJj9dX9PZ4/imDydtLMuAknCu2QNdc+90bEmVukegiQRd84JJN1yKVq7EffmepZd+xY136/t76mpqKio7DOoguEBghTvACBQ7+rfiezn5F5yEKJeQ6CoFN/ygh5fRxAEzG2dM651q7p1rjFPEWJcNV136GyLKV7pwgsEWgmFdj9zr79p77DUJ6ft0PYyFizDRqFxxBN1efDM61kHk2FQLsn3XqdU/FY0s+Km97pln1j1zWqCjW6keHuHFem26AcrVpe+0i07PF+ORKgrmLddx9t2x8kyrpotbPnlLVZ/8ChVy74j7HOhTUgi/fzL0PcwB7LTGNEo/kolJ04/MHvnx7UtjiRTbN2Lkl7LsPtPRNRp8K/ZhGv2PGwnHA4aCV9ZMYacASQeczIJ559L+vhjyZpyCoERW21OQyEvmy1l1Adiy7CTBC1TDMcydsyfEMWtFqCCIJCTfSgJgyYiajrbQlrTB5Nzw11kXnptTGN0C1FEG5+AzhLf+9feTZxVhbQs/J2mOT8RDXddKdsu0vtWb4zJuks/IAv9wBzkUISKT5b1eJ6WgcmknqB85n77t3VEo/tWN4q7MUDIHwVRQJ9s7e/p7BRBELAOVTqLA8Xl/TwbFZV9G0OKjbHPnoMh1U64rpGaJ14mXL/vFTz0Bdr0ZFLvuwbHmceBRsKzcR0lLz2Fc/VytdtQZY+jtceReem1JB59EkgSvmXrqH7gOXxrez9fS3JYSbnrSqzHTAeg/L3FrPnzp912ORG1EsPuPQHH+GyCvgj/u24JDaW9K3KOm5nJuc+OR9KKNMwtZO0Dn6MxGxh6zwkggPuXRUjxDgwjByGHwoTdLhAEXFWFmJOyiR8wFvdgy06vHwy68HhqqVz2HdUrfuj4eqSt0C5UpazHzHmJHUXVWqPEU0f+xMJ3S3Z63XWzq1n+WQWCAEPvOZ6wJ8CGJ75FDkUwTRhB8s2XECyrpvZvrxB1utGnZpB1+Q3oU7Y6qwiiiKDRgiCQPPIwRp51D0nDDupW9Mb+iCAIZE05paOzdGfr2/0V68ixZFxwBYJeh39dEbVPvtonxQUHCqaxQ0n+y60YhuUT9YfZ+PT3bHjyOyK+vsmUVVFRUdmfUAXDAwRNQluHYYMqGPYl+kQLmWcoGQvNH8/aLf/5dqs9z6Z1RIOxV5eZ8pSuJ3fNlm6NL+kM6G2KBafLXdWNmfY9Gzd9TtEPr+Gui93q1dekPAd9as/sSKGtOm1aW67ad3N6XL2vTU8m9f5r0WalEmzysOr2D2le1vVzifhDlL+3GAD7KTMQtNvn0xkG5wI7Fwwr332N8gWfsuXnN6le+SMNmxbRWlaAp6GckHdrtX1r6Vo2ffMizVtWQiSCISuX1NPPJ/f6O7EMHdlj0XVbgvU1RAMBBL0ObUbKTo+L+pWbeMkYu92pOTeR/GuULLqWj74j6nRhOWgcAK7Vy4g/+Agko3GH55ZXzKew6GtKPCtjHq+7aPRG9MmpiNrez5ezjZ5A3i33kXPwWb1+7d0lPn88WrOdiMuJc+WSLo/XJSZjGqRk1rh+XBDTGLaTDgeg8ouVPbb9Bci9dDp6i4aqAicrPu9969i+pLlCyV7UJ1oQNXv3ZpN1qFI5H9yiCoYqKruLIcXGmGfPxpjhINLQTM3fXiFUd2DYuHWFIEnYTzqctL/ciC4ng6jHS83Hb1P1/n/VbkOVPY4gisQfMoPsq25Gl5RCpMVF3TOv0/DaR0TcvSsICBqJ+PNPJvGacxENSjTCsuve6Xbes6iVGPGXmVgGJeNpCvLm1YtwNfh7da7Dj0zlopcmoTNKNC8rZcOT3xE3MYfs86YA0PLWp1gOV9wnPJsKMOYNRJAkPPW7LvKLRELMnf8ES5a9RM3KH6nfoGSjC7o2txqDnlBFjfI8Dcq9eUKOmaJ59Thr/Sz5aMfXd9X7+eJhJb4j85zJ2Iens+HJ7wi7A+gGZJF47fn4NxZT9/R/iHr9GLPzyPzTdWgsVqIBf6fPnrxhJzHkpBvJmnIKkm7Ha5QDEWN8GomDle9/3XdfHHB5fuaBQ8i85FpEi4lgcQU1j/9bdRDYDTRxNpLvvBzH6ceAKFA7u4Bl172Ne0vvWi2rqKio7G+oguEBgtRmSRpq8amhv31M1jmT0Fj0hKvre5R9144uNwNNUjxyMIRnU+zX0aemI+oNRIJ+vE2V3RrT2NZl6HbtXVZxzc1baC0vQO6iS25b0sYdQ9YVN2GfPH23xraPn4xosxCub6Lqvn/g+m1xj6rTNXF2Uu+9Bv3QAUS8Qdbc9ymVn69A3kUnU9VXqwg2eZAS47AcPGGHx+iHKB2G/opS5B10cNknTAWgtXw9Vcu+o/T3Dyma/RobvniOjb/+B1eOgCtHQJg+HI0jHvuEqWRfexvZV96EbexEBM32ImVP8ZUrIqluQCaCtHNRo6PDsAvBUJZlvBVNHd+PtJPHkDB9IHI4Sv2/3sdy5EEgCHg2rCNQp2wKOLNBjkZw15awtOh/uN3VpKUqr21jsBJvePc2Eb2+RlrLCvA112z3mLX0wOtqECUNKSMPB6B57i8xLfrjpioivfv3pUR9XRdLGMcMRZeTTtQfouKTnmcZ6uJMZFyofF788NwG/O59J2OvqUIRSg17sR1pO7b2DkNVMFRR6RUMyTbG/P0cjFlxRBpbqH3iZUI1vW9/va+iy0wl9YHrsJ92FEgSnvVrKXnxb2q2oUq/YEjLJPuaWxVHBUHA8/syqu59Fs/Clb3+82ieOpaU+25Ak5xAoNbJylvep+6X7mU1a0w6Rj1+OoZ0B80VPv53zZJevz8aOC2Ri1+ejKQRaJhbSOWny8m95CDsozOJ+EK0fvET+qEDIBpFY7OTd8dDJAyaSMjnpnrFbNZv+HS7a7rbIjaiUWWu7fef7esayWqGqIw+2UqwzYEpfZiN+mKl07Bhi4uQP9LpmrIs8+n9q/G2hLAMTCb3koMo/3AJrasrkIxaEq85F++KAur+8QZyMIRp4FAyLr4ayWjEW1xEyYvPUP3xO8jRKNZSGUmrx5Kc06uv5f5C+oTjEPV6AlXluNb0/N5+X8WYmUPWn25EY3MQrq6n5tEXCZR0b19HZSuCKGI/ZQYpd1+JFGfDV97M8uvfoerrVep9gIqKispOUAXDAwTRbETQKdVzgQY1x7Av0Zj1pJ00BlC60nqKIAgdXYautStjP0+SMOYMAMBdvblbY5o6cgz3ng5DWZbxB1oA0FnjYj5P0hkwZueiT9p5J1ssiHoD2ZfegCEzB9kfoOm/n1L3zOs9qvQTTQZSbr8M0+TRyOEoRS/8zKo7P8JXvX2uYcQXpPwDpbvQccqMnQp32rQkRLMJORTqlDPYjnX4aDIuupL4Q47ENm4y5kHD0KdlIlltnbIdRY2GvJvvJWXm2RjSMrv93GKhPb9Qn7/rxXG0w5J05914sixT+I/ZLLn0vxT+8ydAec8Mue0YdIkWwjX1uH+aj3H8cACa5/2Cp2gjZa88R83qX6hb9zvOig0Ul/yM0RhHnGMAIFPl39jl85BlmR9rX+O33x/ezr63vHwuRbNfo2nziu3Oa9q8nJrP38e7pbDLMfYnEodMQdKbCDU14C5Y3eXxpvzBaBOTkf0B3HOXdnm8IAjYTzkSgMrPVxBy+no814yZ4zBmxuFpCvLLv/ad71NzZVt+Yaqtn2fSNdYhymdyuLaRiHvft79WUdkb0CdaGPv3czDlJBBpdlL7t5cJVdX197T2GgSNhGPmUUq3YW4GUa+SbVj59quEWpv7e3oqBxiiVkfyiaeTdfkN6JJTibo8NPz7feqe/W+v2wrrslJJe+gGDKMGEw2EWf/YNxS/PneXBYvbXSPOzOi/nYE5Xkf1Bifv3ryMcDDS9YndIHd8PMffpdyzF7/6G84N1Qy770S0DhOh8poOlxV3wSoEQSl2jIaDVC2fRXXNMny+zu/jP65lOwTDtgz29sJFJb9Q+axMG2anfouyTxKJQM3GzkWESz8pp3BePRq9yNB7T8CzpZ6SN5TORcf5MwlsLKbhpXchEsEyYgwZ51+GoNFQ/8NXVPz3JcItTUTqGzGsb4npNYmGQ/haammt2ED9hgVULv2W4l/fofjXdzsdV79+PlXLv6d+wwKlaLGpep8XQbRGK2mjlHv7xl9nH3BdhgD6pBSyrrgRXXIqkRYXtU+8jHc3itFVwDBkAGmP3Ixh9BDkUITC535k/WPfEPaoWZEqKioqf0QVDA8QBEFAim+zJa1TbUn7mozTxiFoJQKFpQSKYrfR/CPmyUq4u6ewgGgg9hsZY95AAFw9FAx9vr0nAycYdBONhkEQ0JkdMZ/nytl9C812dInJZF1xI4nHnoKg1eBfV0jVfc/i+mVRtxdkglZD4jXnEn/RTESDhtZV5Sy98k2qvlzZafFe+cVKQi0+NMkJmA8av/PriSL6wYoAtzNbUvOgYSQefSKpp51LxkVXknPtbeTf+RfSz7+s87V20fW3u8iyjK+sBNh1fiFsFQw1u+gwrPhoKdXfKpZA1V+von6OkgOjtRsZes/xSvbJnKUdlq3O1csJ1tUSqCynfv08UsfMAATqG9bhdteQljYRgErfhpi+p2E5QCQSQJY7L2B1OiU/LuTbvlPRWbkJ5/LF+MqKu7x+d6h6/7+U/vtZ3DV7Z86HpNWTPFzJJmz6/acuX19BFImbeggArh8XxLRJYBw/HG1WGhFvkIpPe16JLGol8q89HIB5bxazZtbeUzyxK5o7Ogzt/TyTrtHajBgzHIBqS6qi0pvo4s2MeeZszHmJRFpc1D/9b4KV3bMg3N/RZSndhkq2oQZv4QZKXnyKlqUL9vkNdpV9D2N2HjnX3EbCjONBI+Ffs4mq+/6B87s5yJHeE+REs5HkWy/Fdrzi4FD27iLWPfR5tzbJjekOhjx2NjqTxJZFjXx87yqikd59z0w5L4dRx6URDcsUPPo1giQy7M9KnqF/zSakpDjkYIiWRXMBxTHEmj4IkCmvmNvpWi6Xcv+WkDCMtoPbHlHWh3JQiT/oJBgOtdJQvNUetnLd1oLOoC/Czy8qa43sPx2CIdnG+se/RY5EMU0aRTQcpvG1j0GWsY2fQtpZFyED1R+/TfPcXwBIHDKV4afdjs7SdQHs5p/eZOVb91HwyVMUff8qZfM+pmbVTzRtXk5L6ZpOn1eNRUupXvEDZfM+pmj2axR89gwFnz5N/fr5REL7rhCSPOJQkkccQual13QIvQcaWkccWVfciCl/MHIgSP0//4dz9rz+ntY+jWQ1k3zLJTjOPh5BEqn/dSPLrn2725bNKioqKvs7B+Zv3gMUTbwDUHMM9wT6BAspRyoLlNbd6DLUZqejSUlADoVxbyqI+TxTXj4IAtFI9yxjLKkDGHn2nxl41s3dnWqf4fcrFaM6kyPmIHhvQwV133yKa92qXpuHIIrETz+cnGvvwJCVi+wP0vTmZ9Q9/Vq3q4EFUcR65DRSH7kV/ZA8ov4Qhf/3E6vv/hh/TSthT4DyD5S8N/vMGQhdZJLpByu2pN0VonojlzAW5HCY2s/eJ9RYD5KEPn/XgqEc2HWGYcP8IopfVd5XmaMcABQ/Nwt/nSLSxY3NJuM0RWT1Llmr2LZGIoRaGpGsNkJeJ77mGuLylA7e4tKfSUocjiTp8UVcNAV3bfmivG5tGw5/2GDU65UOr23zITsea8sIDTX1rlVcoKaaQFVFr292RsMhmotXUb3yRyLB3cusSR5+MIJWR6C6Eu/mTV0ebxszEcGoJ1zbgH9N18crXYYzAKj8dDlhd8/nmzBlABmnKz8/n/x5FWUr9/7uk+Z9yJIUwNpuS1qsCoYqKr2JLs7EmGfOwpKfRKjZS8NT/yZQsm9lsvY17dmG6Y/chC4/G9kfoO7Lj6h4498Ee/n3s4pKVwgaDQmHH03udXdizM1HDoZo/uBbah55qVffu4IoEnfOCSRcdQ6iTkPjgi2suPFdvBWx3+NYB6Uw9KHTkDQCa7+v5tsnY1+bxjRHQeDUh0eTmGcm2OBmwxPf4hiTReYZEzqeA0DLormU//dfrPv4bzhyRgJQWbOEYHDrHofLpdzLJyeO6DxIm3AYcSqdhOb8JHyVLcrzSzIQ8GyNd6gs2CoYLnqvBFd9AEOqjYyZ49j8r1/wVTYjxduxHjmN5ne+AiDuoMNJmXk20WCAyrdewb12JUgSeYdfQM7BZyHpDJ2mE3Q3U79+PiVz3u90Hy8IAnI0giTpMZtTSYgfQkb6FPIHHMewQadh3+zHvjmAfXOAdNso0tMmk5AwFKslHVGjw99SS9n8T1j/+bPbFTfuK4gaLVlTT0Vrj91haH9EMhjJuPBKbBOmgCzT/M5XNL3z5QHZddlbCKKI/YTDSLn3aqQEB/6qFlbc9B5VX69Wi4dUVFRU2lAFwwMIKU7ZyFY7DPcMmWcpHUu+5et6nCUjCAKmSYqo4e6GLak+NYP8e/5K2jXXdms8SatHb03YY0JSLHQIht2wI3XVbKFl0Vxcq3s/80CXmEzW5TeQdNxMBJ0Wf0ERVfc/R8uXPxFu7l7+nTY5gZS7ryTugpMR9RpaVpSx9Mo3WX3nR4RdfjSpiZinju3yOu1ddL7S4l6tSO4N5HCYynf+g3PlEhBFEi49TckN2QXtuXWSaXvB0FPSQOETXyPLMPnsbK783zQyRtrxOUNseHIWckRZPGWdM0np8i0qxTi2TbxfuQjbuCkA1K2dQ+qYowCor1+Lz9dESrJiJVzh69ruRaD9PbKTDsNdCIbBxt7dkIx4lWpojdHSq9ctnfcxW37+H1XLvqNo9utEu5Eh+kc0BjMpIw4lbvrh6FPSujxe1Ouxj1XyN2OtpDVNGIE2M2W3uwwB8q8+jIRp+YSDUd6+cSlN5Xu3dWZzpWLDatgHLEkBbENTAQgUlvXzTFRU9j+0dhOjnz4L6+AUQq0+6p96Bf+GvbMDvT/RpieTet81xJ13IoJOi6+4kNKXnqZp7i973b2Uyv6PLjGZzD9dR8qp5yCajQRLK6l5+EWa3vmSSEvvrd0tB40j+Z6rkRw2vGVNrLjhHep+ic1dAyBuQg6D7z4BgIXvlrDqm97NVdObNZz3jwlojRLNy0op+d8Css5W7unDtY2IdgsRr4doQCkM89SXY0rKRo6EKStX7hej0QjBkCIIWq0ZHdfOufFuNNa2+6RwBMmkIxpS3uv2VAOepmCnuVS1dRj6nCHm/Edx7cm5+CAa5hUpLicCxF90Kk3/+xzCEcxDR5B47MkIgkDNJ+/iKy5C1OsZdMwVxOd3dosJeZ2UzfuENR8+Ttn8T2gsXIK/ta5DBByceARTJ9/OoQc/yJRJNzFm9CUMGTyTnOxDSUkZgyBs3cbLyjyIoUNOZcyoi5k08QYOnnoPgwaeiNEQT1xe52P3Rdoz4ION9f08k/5DkCRSTjmbxKNPAsA1ez71z79FNBDs4kyVXaEfmEPaIzdhHDuszaJ0NhufnEXEp76uKioqKvv23YNKt9AkOAA6unBU+hZzTgLxUwaADK1f/dzz67TZkroLC4j4YsvmEkQRyWjs8Zh7Ez5/C0BM9i0d5zQrQfe65NS+mJJSpXvQYeRcewfGnAHIgSCtn86m8rYnqPvHG3iXrUUOh7u+UNu1bEdPJ/WRW9APziXiC+HapFhiyC4X7rnLulzE63IyEM1Goj4vNZ++u1dVHDpXL8O7eROCXkfyLZdgOWTiLo+XZRnanq8c3n7Dru7nDQR9EXLGx3HivSOQtCJnPzUOnVGidVU5lV+uBNq6fI9SslBClbVoM1OR/UEkvR5Bo8HbWIEcjeDIVQT5yqrFpKVNQECk2l+IJ9yy0zn6Ix7kNqFQEDpnS2o1yvsuEtj+vaq3xgMQdu782t1FjkSI+pWxtIZdC7FdXkuOEo1s/bmNzxuDKCo5ku6azWz5+c1Oj3eXjAnHk3TsKVs3a7rAMeVgEAT8awsJ1TV2ebwSaN+WZfjZCiL+nguc7TZYloHJeJuDvHvLMoK+vXMD2ecM0Vqj/AwY0x39O5kYsY9WclIDRSV71eeVisr+gtZmZPTTZ2Efk0XEG6T+2dfxrtzQ39Pa6xBEEduxh5D211swDFO6uxp++IqyV/+PQE3vCiEqKl0hCAL28VPIvf4erKPGgSzjmj2fyjufpOntLwk3bZ953hP0A7JI/csN6PKzCbsDrH/sG1be/B7O9dUxnZ98xFAyz1K6/j66eyUf3r0CT1PvWV+mDLRyygNK52DZOwupmbWW1GPaOgXblkTBRmWt1LR5GY4s5X6/unop0WgEUZSYPu0ehlkPprpmWcd1tTYHYdfWfRBzXiL1vyouFhkj7ATcyj1ue92s36XcR37zxDp8zhCm7HgivhDrH/8GAMvhU2j5ZBahqjoki5WUmed0FN0mHnMSBkcKQ467Dlv64I4xw34PFYu/Zs2Hj1O/YT7IUey2HAbkHU1c1datObM5GZOpZ0W8Go2BrMzpTJ1yG0Nsh2DfHMDXVI2nvoxwYO8ugNsR0XCIqg/epOSFp2JeX++PCIJA/CEzSDv7YtBo8K1YT+3jL3e7YFmlM5LZRNJNF+E4+3gQBWp/LFAtSlVUVFRQBcMDCk2Sslntr+6dxYZK1+RcpHTIeBasIFRV16NraLPS0GakQDiCu6D7Fpvd7Qpy1xaz+ac3KCz6pttj9QWyHEbU6rslGPpblNe6rwTDdnQJSWT+6TpSzzgfY3YeyDK+VRuof/5tKm59gub3vyHcHNv7TZuSSModl4NGEaAks56IJ0DTfz+l9qlXCdXuvCtN0EgkXnUOSBKuNSuo/fKjvWITXpZlWhYp1b72mUdiHD2ky3MEQUCXrXSguTbWbP+4Rvm1lZRvRdIq/07INnPcHUoXYdnrc/BVtQCQfORQAHyrNmCerlT2ejauwzJMEeEbi5aQOHgyAPUN67Ba0snIUP6/pvXnnQq1Vb6NynOy5aDTdRbpIhGlIlHU6befe5ulbm9+b9q7CxEEJL2px9fxNlSw8avnqV7xAwD2zQGygnkcdshDjB97JYKkpbV8PSW/7Z4g3V4lHAu6+ARM+comi3vO0pjOMU0ciZQYR9jlp/bHrjtFd4Vk1DHy0VMxx+uo2ejky0fW7JU2NSVLG5GjYMyMQxe3e6LxnsKcm4hk0iH7g4Qqtn+fq6io7D4as57RT5xOwrQBRINhGp7/H56FvWfVvj+hTU4g+a4riP/TGQhGA4Gqckpf/gcNP35LNNTz4hMVlZ6gsVhJO+siMi6+GkNmDnIojOvH+VTe9RSNb3xGqJtRCDscw2Ej9Z6rsM88EtGgwVlQzYob32X9Y9/gr+1agMi77BAyz5yAIMLqb6r45ym/seLL3rPHH3dKJkfeoNwDFr8+F8miR5dgIep0I1rNyIEgoskMskzd+nlIehOhsJeWFiWeQRAE3OFmyivmkjh0GkNPuRk5GiXicXeMYUixUTtrNQDTLsxj0MFJ2FMN7XWLHHJZPqu/rWLlV5UIIjgm5lD0/E8QlTGOHYp32TpCFbVIVhupp5+Pt2hjx7UTvckMP/0OTImZHV/zNVWz5sPHqV3zC3IkhN2WzbixVzJh/NXk5hzREWvQWwiCiCQpbi1VP3/Mhi//iauqsFfH2BMIkgbvpg0QiRzQXYbtWEeOJetP1yFazW2dyM8T2Kw6duwOHRald1+FFG/HV9HMipveo+LT5Xvl2k9FRUVlT6AKhgcQHYJhjSoY7ilsQ9NImD4QojItn87u0TUEQeiwpXStWx3zeRG/j/L/PM/K9x7sVuB5NBSkpWQNdfXr9oobpLzcIxl70WOkjzsmpuNlWcbfolSE6ZOS+3JqQFt1+piJZF1xI7k33UPcwTOQLFaiLg/OWb9T88iLuxT7Ol1Lp0WfnwXAgCsOYcA1hyHqNQTWb6Hmgedo/W7OTm2yjGOGknjNuSAIOJcvon7WF/3+/fNXlhGorgCNpsvOwm1pzzh0Fmxf6ayxKtkffmfnDbyJZ2WTNzmBkC/Cxr//gByVcYzKRGM1EHV50CTHgyDgKyvGNEgRF5s2r8Cckoctcygp449ElqPk5hxBQvwQho2/cIdVvbIsU+lTujTS0iZs93g4rHR6aXQ7EO/ar9eL35f2jQ+N3txjy6HWsgLWf/kcnvoy6jcswLxR2SgSBBFBEHE48hg9/AIEUaK5eBWl8z7qcR6KLMt4CtdT9eH/toqdu8A+oa3oYu7SmCzilI7dgwCo/LTr7tyu0CdZyf/zTERJYOVXlSx6v3S3rtcXbF6odF/Gjdt1NujehCCJWNttSYvUTQ4Vlb5C1GkY/tApJM8YihyJ0vDye7h+XdTf09orEQQB62GTSH/iNkwTR0IkStOcHyn919/xlqiWrip7HvPAIWRdeRMZl1yDMWeAUjz66yKq7nqa+hff2W2RQNBqcJx2NGlP3IX5kAkgQN0vG1h86etsee13wp6drx9FrUT+NYcz7vkLMOcn4W0J8cmfV/HGVYtpquidLrYjrhnE0bcoxYYVHywh6fAhIApEXR4EnZao14NoMBL2uTDGpZIweDI63VZ7frHtvlijN+FtrKTu28+UByTl676qVqJhmUHTk8iblIDWIHH8nUq34tDDkxlyeDJfProGgJTjRlH9pVJwYZo8Gt+6IqJON7qUNJKOm0nNp+9S8+m7+MpKOorjBEHsdB9qcKSgM9uxmFMZPepixo+7mjhHXq+8Vl0RiSrrJlHS7pHxehNBEDA6lHvGYJ1aZAZgzMol+/Kb0SWlEGlxUfPEK7jnLev6RJVdYhiSp1iUjhuOHIqw+aVfWPfg54RaY3P5UlFRUdmfUAXDA4itgqGzI+dLpe/Ju3Q6COBduqbH4fWmCYoNi7e4MGZbUlFvINTaghwM4q4tjnksc0ouCCKBQEtHfmB/IwhCR3dWV4T9HiJBHwgC2vikPp5ZZ3SJySQdcxIDbn+Q9PMvU27im53U/u2VmEVDw2Bl4egsqCLrzIlMfPUSHOOyiQbDtHzwLTV//RcR944X4uZJo0i4/EwAWhb+TuPPs3rnifWQ1sXzATBPGd1lbuG26Ae2C4ZV2z2mbRMMfa2dBUNRFDjt4dFo26xJq79ZjSCJxE9RXs9gYRn6tqzHiMuJdcxEkk89C0mjZdCxV5I84hAkSYtOZ2XM6EswGuMJDs3kj8jIZAw4FIc9l+SkUds9brVmkD39LJJHHrLdYx2CXl8IhrthR1q7bg7IMgnxQ5g6/iY0mu27IxMSBjNi2DlKJ6PWAPQ857Tpm29wr12JM4aMUcuQEUgmM5EWF77VG7s8HsByyCQkoxZvWRPNy3Zf4Isbm03uFYcC8O2TBZSt2P3K/t5kyyLls8WxDwmGALbh6QAEivY+EVZFZX9C1EgMvecE0k4aAzI0vfEZrd/N6e9p7bVoHDaSbriQpBsvRLJbCTXUUfH6C9R++VHM9+AqKr2FIAiY8weTdfkNZF52Pab8ISDLeJesoebRl6j567/wLl27W+4PmjgbiZefRdpfbkQ/bAByKEL5e4tZfMnrVH29epf7BtYhqYx/8QLyLj8YjU5k84IGnj9tDoveL+mVwsXDrhjIUTcpomHNlytIO0GJEqCtcK3dlj/gbCD7oDOwWFKJREKsK3ifUu+atkMjtJSsxrWqs1uFa6NSmNh+fYCRx6Zx23dHcM7fx/PJn1fhd4WxDkmhZXU5cjiKNjMV7+LVEApjGjgEy/BR1Hz8NhG3C4MjBWuTcg8dDYeoXTuHDV8+1+H24ygOMX7opUyaeAOJCUN7ZDfaU6KRNsFQs30+/L6AIS4FgIAqGHagi08k+6qbMQ8dCeEwja9+RNN7X6sZvLuJZDGTdNNFxF84E0Er0bhgC8uueWuH+xIqKioq+zOqYHgAIcXZQCMhR6IEGtxdn6DSK5jzEkmeoXQ0tXzyQ4+uoU1PRpueDJEInk0FMZ0jCEKHnZ+rclPMY0laPeZkZeO5uWXfq6hu7y7U2OMQdf2zKBIkCcvQkWT+6bpui4b6QTkAtK5TbkqN6Q5GP3Umg28/BsmsJ1hcQeNrH+10EW45eALxF84EoOm32TT93vP8zN0h4vXgXLsCAOuMqd06t73D0L25nkigszCosbQJhs7tw8jjs0wcc7Oy6C999Rf8tU4Sp+UD4F1RgGmyssngWreStDPOxzpiTJdCdFWim2LPio7/i4JIZsZUxo+7aofCmtEYT9LQqcS1ZSNui8GexIC7Hib3hrt2OWZ3kGUZbXxCRz5idwn7PbiqNwMweNDJu7RDSk4ayaTx15M55ZQeb3IIgkDikCkAtC5b2OVmkqDRYBs7CQD3nCUxjSGaDJgOVqxlKz7pnWrbzDMnkHTYYKJhmfduW46rwd8r191dXPV+6ja7EQRwjM3q7+l0iw7BULVRUlHpcwRRYNDNR5J1jvJ52vLBtzR/PKvfnQj2ZkwTRpL++G1YDlVes9alCyh54UlcBbG7faio9Cam3HwyL7manOvvwDZuEkgSgaJS6l94m6q7n8E5ex5RX8+zBHU5GaTcdSVJN1+MJiWRUIuXwudms/Sq/9G4cMtOPy9EjUT2eVMY98ol2EdnEvJF+Oqv6/jq0bVEQrtfpHzYlfkMm5FCJBSleVkJ9tGZyKEIoqXNzUMAWa8l6G6mNV+PIIjU1m19n7prtuBr3iaPrF0AlWHEMalkjLB3Gi8+y8T8/xVTsrQJnUlCn2LHX9GCYNR32Khbx04ESaLplx9AlokfOIGhJ9+E3ppA3brfWfvR41Qs+gJvQwXeBQuxb1a+LwaDvceOILtDR4ehZt/rMAQwxrV1GNarguG2iHoD6edeSvxhRwPg+n4udc++QcSz72VV7k0IgoD1qGmk3n89mpREAvUuVt76ARUf7757jYqKisq+gioYHkAIoogmUcmB81W39O9kDjByL56GIIn412zCvzH2br9tMU1Qwt/d62PfqGgXDJ3dzCuwpg0EoLm5fwXDUMjHglXPU/TDazFXzgZciiin2wN2pF2hsVi7LRrqB+aAAP6qFoJNimWjIAikHT+KMc+chaCV8K1Yj+uHuTu9hvWoaTjOOg6Ahtlf07J4Xu89qRhpXb4YwmF0OenoBnRPyJAS45DsVuRIFPemzoHjGqsi0vmcO84UmnJ+Ltnj4gh6I2x69gccE3MRtBLh2gYlG1EUCVRVdGRguHIU4Svsd1MUWoHLvdUG1e2uYfXat9joWkC1T3kP7ajrMFYEUUJjsSKZLV0fHCPmgUPIu+U+Bh5zRY/ObylbC3IUiyUNo7Fr0dFqTcexRRFro5EwLaVruz1mfP54BI2GYG01garyLo+3TVAERt+qjYRbus7VAbAefRAI0LykBE9pY7fn+EcEQWDIHcdiyknAVR/g7euX4nf3f67V5oXK54l5UApam7GfZ9M9bMOUrNJwbSMRp1rEpKLS1wiCwIArDyXv8oMBcH79K43/+Qg5rHYj7AzRbCThsjNIuecqNKmJRFxOqt9/g8r3XifkbOnv6akcoOhT0kk97TwG3PYA8YcdjWg0Ea5vovmdr6i49TEa3/i0x642giBgGjec9MduIe6Ck9FYDXhLG1l7/2esvutjXIW1Oz3XlBnPmGfOZsCVhyIIsPjDMv533ZKd3rN3Z06nPzoGR4YRf3UrklGLxmEk6vYimI0gg230ePS2RDx1pTQ0rkfYZpvLU19GyLf9/aMgwlE3bJ+vXrm2hZ9eVIptE48aRcOcTYooGVDuf+2TDsJXsgXvxgIESSJ7+plkTz+LxsIlrP3occoXfk7I60SvdzBk8KmkpY7freffG+zrHYbtgmGgVhUM/4ggiiQeeTxpZ1+MoNPiX1dIzSMvEqzc+XtVJTZ0Oemk/eUGTJNHI0eibP73r6z7y5eE3XtH4aiKiopKX6IKhgcYHbak1WqO4Z7EmBFH6nGK4Nfyyfc9qkwyTVRsST1FG4gGY6seNeUpwp+vqYqQzxXzWB2CYcvOq0n3BP5AC77majz1ZQhibB9XiYOnMODuR0g56Yw+nl1sdFc0FE0GtJnKoqh1bWWnx6yDUsi/5jAAWj76jsCWnYst9hMPx3byEQDUff0JzfN+JRraviuvL5CjUVqXKnaklhlTu92NJggCuoE7zjHc2mG4480HURQ4/dHRaPQizctKaV1R1tF5FdhUgmGE8rPtWrOCUGszjb/+QGPhUsoXfUXZvI+ort5qV2SxpJKVOR2ANc5fKHIvpbJyEaHQzi3JXK4qnJUbCXpauvWc+4uWEsWuKSlxRLfOsxZ6KfrhNTb/+N9uWR6DkiUTl6N0YLYuW9jl8fqkFAzZeRCN4pkbW8egNjkB4zglh6bysxVdHB0bklHHiIdPweTQUrmulbdvWErQ178b7ZsX7Xv5he1orQZM2co9idplqKKy58g+bwqDbzsaRAHPvOXUPfcmUX/Pu5IOBAxDB5D+yM3YT54Bkohn/VpKXniSlsXzdssKUkVld9BYbSQeeTwDbn+Q5JPPRJuYjOwP4v51MTV/eYHqvzyP69dFPeo6FDQabEdPJ+1vd2M74TAErUTLijKWX/s26//2Lf7aHRdwCaJA1jmTGP6XmWiNEpsXNPDKhfNpKt+9jieDTcO5z4xH0gg0LSom+dDBiojnUe7JW5fMpza4kQ1f/R8bN32BIGo6X2AH69mc8fEkDehcxBfwhPnonpVEwzLxU/Ko/Ulx9hGMRojKWEaMQZeUQrilCZ0lniEn3Uhc7mg2fP4s5Qs+axMK7QwZNJNpU24jI30y4h/n0g+0dxgK+2iHoaEtwzDU1EA01P8Fe3sj1pFjyb7iJjSOOMK1jdQ8+iKeJWv6e1r7PKLRQOK15xF/UZtF6bwill3zNq6NqnitoqKyf6MKhgcYqmDYf+RcOBVBKxHYVIJ/bfc6/gC02elIiXHIwRCeotiyvDQWK/rUDABc3egytCTnIogSwaATry+27L2+wO9vAUBncXTrPI3ZgjYuofcn1EO6KxrqB+UCW21JtyX9lLEkHjoYORyl/qV3iXp2Ll45Tj9G6bQC6r//ki3PPEz9rC87uuv6Cu/mTYSaGhGMBsxTx/boGu22pM71nV8DrU0RDAOuMNHojsXsxFwLU85VrF0b5hZ12JL6VhRgnjIGUARD94Z1NP48i9q1vxGXpwhYdfXrkOWtm38D848jMWEYUTlMkXsxGwu/oKJywU7nXVY+l8JZr9C8ZdV2j4X9buq++ZS67z6P5SXoc+RotEPYTE7qnmAoihLmiJKbWLWs+1mZ7bakztUriAa63siyT1BsbV2/Lo55c9Z2jNJFUzt7HaHW3rHmMWXGM/Txc9CbNZQsbeL925YR7gW7rZ4gyzJbFu6b+YXtqLakKir9Q9oJoxn5yKmIBg3+tZuofeIVIi2xF5YdiAg6LY4zjiHt4ZvQ5Wcj+wPUff0J5a+9QKC2uusLqKj0EaJOh2PSQeTeeDeZf7oO6+jxoJEIllTS9MZnHV2HwdLKri/2x2ubjcSdfTzpT9yBedpYAOp+XM/iS1+n+PW520UHtJM4fSCjnj0PXaKF+i1u/n3+PEqWdy8D2t0QYN6bW3j+tDk8MmkWPmeI4+5QYj5qv11NyrFKMS6CEoUQaKxD1OgJhTwx2X6mD+tsReqs9fOfSxbQUOJBl2gh5AoQ8QQRLSZkrw+N3UHKKWfhmHIwmZNPYdipt2JOzELSmzA4ktFpLQwedArTptxORsaUvUIoBOV+saPDUNo3BUOtyYYxPh3L8NExF04fiOhTM8i++laMufnI/iANL76j5BqqTgK7hSAIWI+cRsp916JJisdf08qKW96n8osVqkWpiorKfosqGB5gaNsEQ9WSdM+jT7KSMXMsAK1f/NTt8wVBwDyxzZa0G/kppvxBQPdsSUWNFkvqAMxJOUTC/We5EGgXDM1x/TaH3mKHomHdjq0SDW2CoXPd9gt7QRAYctsxGFLtRBqaaXz9453eqAqCQNx5JxF33klIiXFEfT6a5/9KyT+foOLNl/EUru+157ctLUsUC1TLwRMQ9T2zvtEPVAQ/Z0F1p+fX3mEoy4pouDOGHp4CQNOSYuKnDgAUUUI/MEfZRKmvRZ+ciiBJ+Jqq0BisiFoDwaCTVufWzk1BEBkx/BwslvT2r+zSWigcVgRcSW/Y7rFIKEjLorm0Lt254Nhdar/+hNJ/Pdsja1BBFBl+2h1MmXwrJlP3LXzz8o5CECVc1UW4qou6da4lNR+9LRE5GMC1bmWXx1tHjkE0Gok0NONfE1smq35IHrqcDKKBMBWfLO/W/HY5l8EpDP3rGWgNIpt+r+eju1cQCe950bCxzEtrjR9JK2IfmbHHx+8NbMMVW9JAkSoYqqjsaRKmDmDMM2ejtRsJllZS89i/CNX0bUHR/oAuM5XU+64h7sJTEAw6/OUllP777zT8+O0ec3JQUdkRgiBgyhtI2pkXkn/7QyQdewrahKSOrsPqh56n+pEXcf++lKive+s7TWIciVefS+pDN6AfkoccilD27iKWXfUWzctKd7gWsQ5KYfwLF2AZnIK3Och/L1/Esk/Ld1rw186GX2t567olPH3kj3z39HpqC12E/FG+uGcJw45MYcTRqUTCMi0ryrAMSoG2yzXM+opouE1Maiv+y0yfttNx0oZuze2u2ejk3+fPo3qDE3O8joRpA3AVVCHqJKJuLwiQeuq5SEYTtjKwpOR2dC0KgsDIjFOYMvkWMjOm7jVC4VZk8vKOJm3s0Wj0+5Z9fTuCIDD8tNtJP+cSNL0Y7bA/ojFbyLzkGuKmK05Dru/nUvu3Vwg3qw0Du4s+N5O0v9yIccII5FCEoud/ZsPj3xLxqV2vKioq+x+qYHiAoUlu6zCsUm8Y+oOssychSCKBolKCZdt3j3WFsS3H0LOxIGY7DvPg4ViGjcKWPqhbYw067iqGnnITNlv38ud6E3+gBYi9w1CWZTb/9Cb1s74gGtj7vOX/KBq2fPDtDo9rt+N0F9YhR7YXIjQWPcMfOAlBI+Jdto7m97/ZuWgoitiOPZiMp+4k6ZZLMY4eAoKAd/NGKt96Ffemgt57gigVvp6NyjWtR0zp8XV0uRkIkkiwydOpI1rUSogGpTrW3bTzCtPssXHoLRpCrT5CrT6sg5UNhUBhCaYxQwHwFG7APLTNKrhkFY5spcuuvn5dp2tJko4xoy7CbssmK3M6BoNjp+MGg0oWm6Tb0YK87XvUi5WIwboaAtUVHZXDPcFsSuq2bSyA0RBHeupEAKqW/9CtcwVBIHHwFHQpaQjarkVlUavDNnYyAK5fF8U8hn3mDAAqP1tOyNV7nwmOUZkMfeg0JI3Auh9qmPV034jvu6Lw9zoALMPSkQz7ZsV4e4dhcEu5auunotIP2IamMfaf52FIsxOub6L+iZd2aXeuoiCIIrajDiL98dsxjh8OkShNc36k9MVn8G7pvouIikpvI5ktxE0/nNyb7lG6DkeNA0kiuKWcxtc+pvzGR6l99r+4fl3crRxhfV4mKfdcRdKNFyI5bPgqm1l998csvfwNyj9YQrDZ0/n4RAtj/34OiQcPIhKK8tmDq/nnyb8x780teFu3F9hLljfx9g1L2TinjkhbU9RJpxpITBJpaZaZ85/NnPbIaOKzTARqnWjt2xTobeMQEokq1w6F251Ytr/PTR1iBZROxv9euQhnrR9jVjzxx42l+mulODcaaRMFJS31s79Gv66Jps3L2fjNi5Qv/Az75gD2zQF0OgtarSnm13FPEY1GEASRuBnHkD7huH02w1ClewiSRNKxJ5N+3p8QjHoCRaVUP/h/+HrgcqXSGdFsJOmGC4k770QQBep+2cDyG97BU7rjQnAVFRWVfRVVMDzA0KQmAeAtb1Lb5/sBXbyZxEMU4c714/xun6/Pz0KKsxEN+PHGaEtqyhtI+nl/QjtjQrfGisXKpa/x+5sB0FniYzo+7PfQUrKa5vm/gbS3VXcqaCxWUk8/DwDfukLk8A665NpsQ0SdBOKOhRzrkFQG3XQkoFQONr/z1S7f04IoYho7lOTb/kT6k3dgautWbfp1dq9+FoSdrSDLiFYz2vTud621I+q06Nq6DBsXben0mDlHsZutKth54YOkFUnIViwzg41u7GMU4TtYUqls7gG+0i1Yho0CwFm5CXu28vWmpu072PR6OxPGX8OggSfsdMxg0IPLoxQCmBIyt3/c3QKAxmrf7rGeEvEomzwaQ/eqbWVZ7mS92lNysg9HECXcNZtx15Z069yUUYeTe/2d2EaNi+l4+wRFgPat3hjz5pZx3HC0malEfCGqv97eJnZ3iJ+Uy5B7TwRgwTslLPl4z3XJybLM0k+UTf2kQwfvsXF7G1N2ApJRixwMEapWO5tUVPoDU2Yc4/7vPCyDUwi1+qh76mV8qzb097T2CTTxdpJvurhDPAk1NVDxxr+o+ex9Il5P1xdQUeljOroOz7qIAbc/SOJRJ6BNTIZwBP/qjTS98SkVNz9GzV//Res3vxKqqutyXSAIAqYJI0l/7FYsM6YiGjR4y5rY8uocFpzzMmsf/JyGeUVEQ8p6RjJqGf7gyeRcchB6s4bGUg/fPb2ep2b8xCf3raJ8dXPHmEl5FgZNT2Lb6PqvP/fTUB9FEGDQwckYrFpOe1SJEnCuKscyJHWnc21oVIoYRcvW+2RBJwEQDkSRZZnP/7IaT1MQc24iqceNoPzdxR01frQVbsrhEFIQGguXUvzrO8jRCFJrkGh077R6jERClJT+xvxlz9KYsXNHln0JX3MNcmTvfL33VizDRpFz9e3oUzOIujzU/f11Wj6brRbp7SaCIGA79hBS7r4KyWHFW9rI8uvfpuaHdV2frKKiorKP0P+KgMoeRZuSAKJIxBsk2KguZPuDjNOUzXHvwpVEXN37HgiiiGmyskByrek9i71d0ZgZJRjsn58VX5slqd4am2AYastjkyxWRM3eKRgC6NMykcwWZH+QQGHpdo+H65WMD0OqfZedX2knjGbwrUeDoAjQTW99EdP42uQE4i+cCRoN/opSfCWbe/ZEdkD7BplkNe/2tUxjlZySxgWd52cboXQlla1o3uX55jilijbk9GMZqIiXwdLKjoxIf1U5hizl376mKkzx6SAIeLx1NDV1z2IToLFpI8gyxvj0Hf7M+luVjjBtYlK3r70z2gVDbTcFw6C7mVVvP0jR7Nd3SzA2GOykJo8FoGb1z906VxBFrKWxj61PTkWfngWRKJ5FsYl/giBgO/4QACo/W0E02LubJkmHDSH3UiUn9Ku/rqV46Z6pLl3zXTW1hS60BpGUo4btkTH7AkEUMOe3vTdLup+tpKKi0jvo4syM/fvZxE3IIeoPU/fPN3H91Hv22fs7pgkjSX/8NiwzpoIg4FyxmJLnn8S5erlaoKmy16CxWIk/9CjybrqHnBvvJuHIE5T7KlkmUFRKy0ezqPrzs1Td/QxN732Nf/3mXQo0otlIwsWnkvGP+4m/9HR0+dkQlWmcv5l1D33BgrP/zabnfqR1XSUIkHvRNCa9fy2DbjkaS34S4UCUFV9U8PL583np7Lks+agMSStwycuTuef3oznrqbGMPjEdo12LKMIpD41i2BFK5EDexASyx8YRCUWxDk5BY9XvcI6RSBDRbCXqVjJaBUnEnJsIQHOlj2WflLPh1zokrUjOxdMoeWPHBb32rGHozHFULVdyu7MypzNyxHmIotTj70dfIMsy9Q0FLFryT7YUf0/Q00zDpsX9Pa3dJuR1UvD539n81IOE3WrebnfQxSeSdeVN2CdOA1mm9YufqHvmdcItzv6e2j6PYUgeaQ/fhGHEQKL+MBufmsXGZ74n4lctSlVUVPZ9VMHwAEPQaNAkKXlwvopdb7ar9A224elYBqcQDYZx/7ak2+ebp44FwL1pXbdCv4NNjTSXxJ59CFC1fBar3nmQisrud0P2BpKkRdTqY+4wDLqVn2mtfc9nHsqyTDQY6FSxF2pp3qF1rCCKmAYOAdihNUiHYJjWdSda2omjGXLHsSCA++eFMVuNSA4rlkMVO8naz9/HX907m/XtApbYC4KhcZzS8de6uoKwe+vPur1dMFy5688wo0OxaQw5fVgHtYkSZdVICQ4kuxUiEcKtLeiSlcpkX3M1ScMOQhAlvL6Gbs+3oVHpyGjvVPwj/hZFMNQlpnT72jtCjkSI+LwAaIzdEwzdtcVEgj7k5tYe2ZFuS3bWIYBA2OciGu7+AikaCOBatyqmTVXbOOVn1jM39oIJ85QxSHE2gk0ean/qfevQ7AumknT4EKJhmfduXU5DSezWXj2hsczDFw+vASDtzMkduZ77Kh3vzVJVMFRR6U8ko46Rfz2N1GNHQFSm6a0vaHrva7UTIUZEk4GEi08l5c/XoE1PJuJxU/Px21S+/Sqhlqb+np6KSif0SSkkHHYUOdfcSt7tD5B80hmYBg0FjUS4rlHJPXvyVcpveJS659/C9dMCQjUNO7xXE40GrIdPJu2B60h77FZsxx2C5LASdvmp/noVK29+n8UXv0bxG/MINLpJP2k04/99EeP+7zxSjh6ORidSvd7JFw+v4W+H/cgHdyynfGUzI49O4+wnx3HPb0dxz5yjmXRmdqdxD7k8H4CmX9aRf/2MHT5P+5RDiEa2Wp9mnTMJU7ayrty8qIFvn1Q6ELMuOoiSN+Yhh7YXSK0Zg3FWb6GldA0IAgPzj2fQwBP3CjeedmRZpqFxI8tWvMyatW/j9zehNdnIPex8UkYd1t/T220ai5ZCNIouMQWNxdrf09nnELVaUk45i9QzzkfQafEXFFH9wD/xrtzzkQr7G5LdSvLtl2E/7SgQoGbWWlbc8C7eMtWiVEVFZd9m77nLUdljaFOUqjqvKhj2C4IgkHGq0mXo+nkBcrh71hq63Aw0yQnIwRDuDbHZHoRamih57jG2/PIWkWDsOV46SzzIURqb+sfvPv+MGxh70WMY49NiOj7Y1mGosTv6blLbEGptoew/z1P413sofOh2iv56b4dgBtA87xcq3351h5tt5oFKjp5vzfbWsuF65b1pSI3NujL12JFknDYegJaPZsW8uWc/+QikxDhCzU2U/+eftC7f/QrU3uww1KYmoklNQg5HaVpa0vF124gMAGo2OQl4dt4xZrK3dRi2+jBmxCEaFOvDSG0j+kGK3am/bAumAYMQ9XpCPhcZE05g2Km3YT20e4vraDRCU9v7pD0L8Y+0dxjqknpu1botEZ+3LQ9RQKPvXm6Kp64EALs9Z7fnYTYnM3nijQw5+SZETfey9KKRMFv+8VeqP3iTQHVFl8fbRrZl8JRWEqyoiWkMQaPBeszBAFR8tBQ52rvdHoIgMOSOY7EMTsHbHOTf581jw6+1vTpGO+FghA/uWEHAE8Y2MoPci6b1yTh7EssgRUBXOwxVVPofUSsx+I5jyb1M+cx0fT+X+uffJhrYPmtMZccYBuWQ9shN2E87GjQS3sINlLzwJM3zf1PFV5W9Eq09Dsfk6WRedBUD736UtHMvxTZ2EpLJjOzz41u2jqa3vqDqnmeovONJGl//BM/i1Tu0h9dlpBB37olkPHsvyXdcjnn6eESDFn91K2VvL2TJpf9l2bVvUf7BErQOE0PvPp7J713DgKsPw5gVRzgQZc2sat66filPHfkTXz++jur1Toz27e8vhxyWTMogKwF3mPqfN5B+2vYW962Lfge/UnSoT7GRff4UDCnK+mrZJ+UEfRHsY7Lw17biLess7AuSRM7B5xB0NiKHA9ismUwaf31bodzegyxHWb7iZVaveROnswxB0pA65khGnHkPCQMn7FXCZk+QZbmjS9I+fnI/z2bfxjZmIjlX39ZhUVr/3Js0vfUF0aDaEbc7CKKIY+ZRJN95BaLNgqekgeXXv0P9nO1jTlRUVFT2FfaZu4cvv/ySs846i9zcXAwGA8nJyRx00EE8/fTTOJ1qO3130KQqgqGvUq127S+SDx+C1mEi0tSKd3n3vM4FQcA0pc2WdO2KmM7ROuLRJiRBNIqzKvYbF3umImq5XJUEg33bNbMzBEGIuQNqq2DY9x2GYbeLijf+hb+sGDm4dSPNVBLAWipjKYkQdrbiKy6i6bfZ251vGjgEBIFQWfV2liDheqUizRhDh2E72edPQTLpCJZW4l28JqZzNHF20v5yI8bRQ5BDYWo/f5+azz8gGur5xmC4FzsMYRtb0oVbbUn1iRYMqTbkKJSv2nnhg6mtwzDs9CNIIpZ8xQo0ULLVltRXVkLCjOPIv+evJA8/GElnwBindBy25u/Y3mhHiKLE8DPvJHv6WZgSt88vhK0dsLrEXhIMPYolj8ZgQuimJVJ73qDdlr3rA2PEYkntUaeiKGmwpwwEwLmq665ByWzBPFj5mfDMi73L0HrYZCSTDm9ZE02Li7s9zy7nZdAy6q+nYRuRjt8V5u0bljL7nxuIRnpXnPzhHxupKmjFaNcy7M8nIEj7zG3cTrG2C4ZlVepmuso+zf6yVhEEgZzzpzDsvhMRtBK+FQXU/u0VIi2qDVysCBoNjplHkv7IzegH5yIHQ9TP+oKyV/7Za44OKip9gag3YB0+mtTTz2PAXQ+TddXNJBx5PMbcfJAkIo0tuOcsoeGld6m46a9U/flZGt/8DM/ClYSbt2aLC6KIceQgEq88m4x/PkDiNediHD0ERAF3YR3F//mdxRe/xrLr3qb6uzUkTh/IpNf/xPgXLyDj9PFoHSY8TUEWvlvCv8+bx/OnzqF6Q+fsclEUOPOJMWj0Ik2Li9FaDVgG7fwee9CNM5AMWgwpWzvU9BYNyUcMoeabrWsn6+jx6BKTGXz8tSQOmUz29DMZPOgUJoy/Bqs1vRdf7Z6zbaenc6ARbXoGokZHyqjDGXX2fWRMPAFJG/s6Zm/GXVtMoLUeQafHOjK23HOVnaNLSiHrqptxTFOKY10/LaDmkRdiLsRU2TnG4QOV3/tDBxDxhSh45Cu2vDoHOaKub1RUekJ/rK16c8yioiLuvPNORo4cid1ux2KxMGTIEK6//npWrlzZJ/PvTfb6nSa3283MmTOZOXMmH3/8MaWlpQQCAerr61mwYAF33XUXI0eOZOHChf091X0Gbaqyae6raOnfiRzAiDoNaSe1iX4/dt/us92W1FO4ocOSsMtz2jbZW8tjt57QmmwY49MBmabm7me67Wm2WpI6+nSciNdDxRv/ItRYj84cx7CZtzL6/L8w9uLH0VkTABAEkcTkUQA0/voD3j/kBGrMFvRpirDk/4ONaLihrcOwG4KhzmEi62zFrrHl0x+Qw7FltUkWE0m3XILj9GOU3J3liyj/z/MEm3pmo9HRYWjpHcHQMHowAK1rOm+w2YZ3bUtqcrRnGPqAbYSJ0sqODkNfeTGiTo8gSbhyOgtenvpy1q57j2g0ttdSZ4kjaejUnVbyZt1yJ3m33o8hIyum63WFHImgjU9E3/YzFyuRoB9fczXQOx2G7dg3BwgHfDgrtu+a3RXxAycASi5rLIKRfewkADwLVuwyW2dbRJMB86FTASj/sPtW0LGgizcz5pmzO3Jqf3t1M29evRhPU+zW0bti/S+1zH9LETsH3HEihmRbr1y3vzFlxyPqNcj+IOE61b5HZd9jf12rJB8xlDFPn4XGZiBYXEH1oy+qG4rdRJueTMo9VxF/6ekIRgOBqnLKXv4H9T98RTSodm2q7N0IoogxM4eEw44m67LrGXjvX8m48Eoc0w7rsPMPVdXh/mURDf9+n8pbn6DyrqdpeO0j3HOWEKquR5ZlRL0O89SxJN/2JzKfu4/4S0/DMGKgIh5uqu0QD1dc/w6uwjryLjuYaR9czcjHTyd5xlC0BpG6zW5ev2wRles6i4ZpQ+2cfN9IAMreXkDGaeORTLrtnkvCtHwSpioWpu0dhgCZFx1M8X9+7/i/NjEZb3ERyfnTsKTkYd8cIMufQ2bGzu/v9ySRSJDKqsUsWvIc1fb6juLG9PHHMuqc+8icfDJa0/5xf9hO46ZFAFhHjkXU7x8iaH8jajQkHz+TjIuuRDJbCFXUUvPwC7h+WqDm7u4mksNKyp2XYzvuUADKP1jC6ns/IdQa256diopK/6ytenvMV155hdGjR/PMM8+wbt06nE4nHo+HTZs28dJLLzFx4kQeeeSRXpt/X9D/dz27IBKJcNZZZ/Hll18CkJKSwv3338+7777LCy+8wPTp0wEoLy/nhBNOYP161YM7FjQpyuayr1K1JO1P0k8agyCJBDaVEOimFZsuIwVtZgpEIrjXx9ZNZh6kCIbOig3duhFs7zJsbNqzlgpbin9k3SdP07BxUcznhLxtHVd9LBhWf/IOwboatCYbg0+4BlNiJlqjFUmr79RllTBwAgmDJoEsU/Px2x1iWjvmQe22pJ1f21Bde4Zh955H5hkT0MaZCNc14v41dlFEEEXsp8wg+Y7LEK1mAtWVlL3yd9wbu9f9ClsFQ9HWO4KhPi8LRIFArZNAw9Yu13Zb0tIVO/8c25phqNjwWga2Z6VVoctOR9Bpifp8BBvqOs6JRsIdf2/+8XXq6tdQUvpLrzwXQRTRxsUjarffyOgJhvQs8m75M0NPublb53nqSkGWMRji0Ot7b1PB52tizQePUvTjfwn5Yu9ItmUMQdKbiLhdeLd0bX9sHjQM0WQm0uLCvy72QgbrMdMRJJHW1RU4N/TNpreolRh4/QyG3XciOqPE5oUNvHjWXMpX797v25ZqH5/evwqAjNPHkzgtvzemu1cgSCLmAUohk2pLun9xIGw67e9rFfvIDMY/fz7GzDgijS3UPf4SvtXdKwo50BFEEevhk0l/4jZMk0ZBNErz3F8ofenpmH7nqajsLYg6PebBw0g+fia5N9xF/t2PkH7en3BMOwx9eiYIAuG6Rjy/L6Px9U+ouvfvVNz0V+r++Sat3/6Gv7C0Le9wCil3XrFVPByuiIeuTbUUPjebhee9QvHrczHnJjDszycy6b1rsQ1Pw+cM8d8rFlKxpqXTvCacnsX40zKRo1Dxn5/Ju/zgP8xbw8Drj+j4v21EOvYxWWSeOYH63zdtzUmXJIhGibicNK2Zj7BiC83Nm6mrX0t9Q0Ffv7y7JBBoZfOW75m34Ek2bvocr7ee2rVzOh7XGq1oDN3LM98XiAR9NJUo97/28VP6eTb7H+ZBw8i5/k5MA4cih8I0vfUF9f/8H5FW1VFgdxAkibhzTyDx2vMQDVpalpex7Nq3cW3qm8gKFZX9if5YW/X2mG+//TZXX301Pp8PURQ5//zzee2113jzzTe56qqr0Ov1RCIRHnroIZ588sndnn9fsVcLhv/5z3+YNWsWAMOHD2fVqlU8+uijnHfeeVx//fXMnTuX22+/HYDm5mauvvrq/pzuPkNHh2FVi9oe34/oEy0kHap0T/Woy3DKWOXcNbHZkhpzBiBodYS8TnxN1TGPY2sTDJuaCpHlPffz4nJX4W+pIRqJ3VN/8InXMeDuRzqEuL4i6biZ6FMzGHT8Nehtibs8NmvaaejtSYSdrdR89n6nDdT2HEP/2sKOzqqIx4vsUwQuQ0r3xBzJqCPnQiXTrOXLn4j6u9fZZBwxiLS/3IguP5uo10/VO69R/I/HqHjrFeq+/YyWxfPwbikk1Nqy3UZwNBwm7HETdiqVv73VYSga9WgzlM5AZ0FVx9ftI5QOw4rVLTu1fWzPMAy3dRi22xQFS6tAEtHlK51+vrJi3OvXUvzcY5T+/oEyrqQha+qpAJSU/YbbvfP3TGtrKUuL/teRr7G3427PL7T1XnchgMEQh9mQiBwJUV8wN+bzRElDXN4YAFyru7YZFTQabKOULj53N2xJNfF2TG3d2RV91GXYTvIRQxn9/IUYs+Jw1vr5z8ULWPB2MeFQ9z9DI+EoH961Al9rCMvgFAZcsXdl5/QG1vb3ZklVF0eq7Evk5OTwyCOPUFm5/wrBB8JaxZgRx7j/Ow/76Ewi3iB1z72B87s5B4Qg3JtoHDaSrr+ApJsvRoq3E2pqpOKNf1Hz+fsxu4WoqOxNSGYLlmGjSD5+JjnX3Eb+vY+RcdGVxB0yQ1l3ajREXR58K9bT8uF31D72L8qu/Qu1T75K6ze/Eml2Yjl0Eil3KeJh3HknokmKJ+zyU/7BEhZd+B8KHvkKb1kjI584A9vIDPyuMP+9ctF2DiMn3zeS1CE2PE1B6n7eQMqxW/PEcy6c2ikXXjJoGfv3s5HMepxrt7nviEQINTUA4PXWs3T5i6xY9Rpr171L0ebvOo1XWPQNJaW/EQh07njsbZzOCtYVfMC8hU9TWvYb4bAPnTWezCkzyT7o9D4de2+gtWIDciiELikFQ1bvrltUFDQWKxkXXkHScTNBI+FbuZ6q+5/rdmyOyvaYp4wh5f7r0aQkEKhzseLm96j5fm1/T0tFZa+mP9ZWvTlmfX09119/PQCiKPLZZ5/xzjvvcNlll3HxxRfz8ssv8+uvv2IymQC4//772bhx7yzG3GsFw0gkwsMPP9zx/7feeouUlJTtjnvyyScZO3YsAL///js//PDDnpriPosUZ0PQapDDUfw1fXuTq7Jr2q3rvItW7jA4fle05xh6txQSdnddBSZqtZjylKyw1vLYqyTNyTmIWj2hkAeXa89t5rrdSgeQYokaG4IgoDFbEHV9a1eiT0phxAm3YnRs/5n0RyStngFHXISg0eDZuI7WJVvFYUNmNqLBQNTjJVhcAUC4Xuku1MaZkAzabs8t7cRRGDMcRJ1uXLO7L0RrEhyk3nsV1qMPUjIWmxvxFm6gZeHv1H39CRVv/Ivivz9C8bN/Jex2Efa42fLsXyl65C62PPkg/jLFMrG3MgwB9AOVBaJz/dafP3NeIpJJR8ATprZwx17i5rh2S1JFgDXlJCBoJWSfn3B9E4b2HMPSYkS9nlBTI86qwo5NUEfuaBw5o0COsn7jp9sJ5tFomIrKBaxa/zbOig04Kzbs9Dk0bFxI9Yf/i7kjuC/RW+Oxpg0kLq53u9QEQSAnW8nDqCuYSyQUu2Cd0G5LWrA6pgxN2zjFltS3fB1Rrz/mcdrtYernFuKraon5vJ5gzk1k/AsXkHjIICJhmW/+VsDfDp3Np/evomhBQ0z5htGIzNePraNsRTN6s4bh95+EqNP06bz7A0ubXXCgtKKfZ6LSm1RUVPDwww+Tl5fHqaeeynfffbdfiUwH0lpFazMy+skzST1+JERlmj/4lsb/fIQcis2yW2UrpnHDSX/sViwzFJts5/LFlDz/JK6C1f08MxWV3UMyGDAPGkbS0SeRdfkN5P/5cbKuuInEY07GPGwkktkC4TD+9Ztp+WgW1Q/9HxU3/pXaZ17HOXsemuQEUu67hqSbLkI/bABEZernbGLlze+z4oZ3sA1PxzIkhYBbEQ0/fWAVmxc14GkOsmVxIykDlQ4757oqDMk2HOOziZuQQ+ZZE7ebq6ekgdK3FnT5nAyiGYc2FYccT3DNaqqXfce69R9SXjGPLcVKx19t3e69d2VZJhh009xSTHXNim2+HmXVxneprVsFchRL6gAGHHkpI8+8l5SRhyLpDLs17r5A/IBxZF97G8knnt6jrHSV2BBEkbiDDiPnqlvRpaQRdXmo/7+3aHjtI6K+2NdZKtujy0wl7cEbMI4ZihyKsPHp79n03I9EQ7HFaqioHEj0x9qqt8d85plnOrIOr7/+ek455ZTtjpk6dSqPPvooAOFwuNP4exN77a7TnDlzqK5WOjoOO+wwxo8fv8PjJEnipptu4rLLLgPgvffe45hjjtlj89wXEUQRTWoSofJqvOVNGDPi+ntKByzWYWlYh6bi2lCD84d5xJ15bMznapMT0A3IIrilHNfq5cQddFiX55iHDMezqQBnxUbSxh4V0ziipCF19Aw0BgtG4mOe3+4QCvkIBFoAMMalxXzeHzPoepNAfS1yOIQhLRNrqQzdWLSYEjLInHgS5Yu+INS8NaNLkCSM2QPwbCogUFyBPj8bOahsvml2kL/RMK+IllXl5F5yEBrzjkVRUSORde5kNv39B7zL12E/+YgdHrcrBI2G+AtOwX7yDEJVdYRq6gnXNBCqridU20C4tpFwazOB6gp0yWmEXS1bzzXo0KanoM/P7va4O0M/KBf3L4toXb21S0WQROyjMmlatIV5bxZzxuNjtltI+lxKd6qok5S/NRLGNDvesiYijS3oBihzDFRXYDjlLASNhrDPRcDZgMGehCAIZB90Oq7qQlyuSiqrFpGZMY1oNEJN7UpKSn7C3/5zmpCx00pfWZapXfc7/uYajLm9J9LV//AV3s2bSB9yOPH5O/4duSMSBk0iYdAk7Jt7J1tvW5ISh2M0JuDzNdJYuITk4Qd3fRJgTs5FZ4kj6G7GX1aCKX/wLo/Xp2WiS0ohWF+Ld8U6LNMnxDSOLisVw8hB+NcWUvX1KvKv6vpzc3fQmPUMf/BkKj9dTtn7i/E3e1n+eQXLP6/Akqhn9PHpjD4hnfQRdjxNAVoqfTRX+miu9NJc5aO6oLUjr2fArcdhTHf06Xz7i3a74FB5DbIsq5tC+wkWiwW32004HOarr77iq6++IisriyuvvJLLLruMtLTYf7/vjRxoaxVRKzH4tmOwDEii6F+/4pm3nHBdI0k3XoRk2/+s8PoS0Wgg4eJTMU8dS+N/PyFcXU/1+2/gGj6a5BNPR2PdvzLIVHZNNBgk7Gwh1NpCuLWZcGsLcdOPQNQpa4Hm+b/hWreKaDCAHAy25TfLSgGGLJN95U1o45TIkabff6Jl0VwESQJRQpC2+aPRknLKWegSld+5ns2b8BauR9DqEPV6RL0BUdf2t16PPi0DyWAE6NHvZlGjwZidizE7FzgCWZYJNdbj2bwRb+FGvCVFRD1e/Gs34V+7NZ5Bk5KIfnAO+plHEa6oxrd6A77yZirKFXcI0agl5Aux/LMKln+280KjMU+dtfPXPBCGaNcFLENHnkN8vFJwW1m1iI2bfoc/1OlGIrsudGsvlGl//eob1tPaWoLf34I/0ILX20A47Os4Xj95HJJWWeel+A/D21hJyohDMCVmdjnf/QFZlvE2VBCdqKzTDBwYz3tvQJ+aTvbVt9L483c0z/sVz+/L8BdsJvGKszAM23/iEPY0otlI0s0X0/rVz7R+/iPVX6/CU1zP8AdORp+o3j+pqLTTH2ur3h7zgw8+6Pj3rbfeutNxr7zySh588EE8Hg9ffvklPp8Po9HYo+fQV+y1guF33221fTjhhBN2eezxxx+/w/NUdo4uM4VQeTWe4oaOAHCVPY8gCGSfO5l1f/kSzy/zsZ94GKIx9mpBy8ETaNpSTuuKxTimHdrlQs4ybBSS2YI5fwh0I8KrXVzU9oHAsCPcHuUDW2eJR6OP7UPT11xD1YJZ6JLTSJxxXK/PqfHHb3GvX0Pm5JOxjjq82+cnDZuOJTWfyPiMTl/XpaTi2VRAqFLxtBdNyve/I09jG4pe+IlAvRt3UR2jHj99px2I8RNzAQiWVhL1+juu2V0kmwXJZsEwdECnr1c/+hLBzWXI4Qhau4PEGSfQMPtrBJ2W1AeuR5fRdedldzAMyQPAVVhL2BPoEEszTh1H8+ItrPyqEmuSnmNuHdrpPVCzQansseQnd3xNY1Vei6jXhy5b6V4NNtYjiCKGjGx8pVtw12zBYFesm7UmGxkTT6Rs/icUlcxGkgyUlv6C19fQ8XjqmKNIHDIFUdrxr1RPbTH+5hoErQ7rqNiFva4I1tUSqK4kMqDrjrw/0hdiIYAgiGRlHMSmoq+oK5hL0rDpMW0wCYJA7qHnERqagNbRdRGLIAhYR46l8Zfv8S5aHbNgCGA9chr+tYXUfLeW3EsOQtJ3v5O3OwiCQOYZE8g4bTytayup+3k99b9twt3gZ/5bxcx/qxhJIxAJ73jjSqMTGXTXCSQfPqRP59mfmLLjQRSIur1EnW4ku7W/p6TSC1RXV/POO+/wyiuvsHy5Yh9cXl7Ogw8+yMMPP8zJJ5/M1VdfvU+KZ3BgrlUEQSDjtPEYs+IpePRrAoWlVD/yIsm3XIIuM7W/p7fPYRicS/rDN9Hy1c84v/kNd8FqvKWFJB97GtYxE9Tiif2Ypjk/4Vq7kpCzhegfMs4BbOOndAiGodZm/OUlO71We6wBQMTn7YgH2OGxka1dLf7yEprn/7bTY7OuuBFjtnIP3rLwdxpmf41oMCIZjIgGA6LBhGQ0IhpNxE09pEOIDLU2E2puQjKZkYwmJKMJQaNBEAR0icnoEpOJm3IIcjhMoLYaf2UZ/spy/JVlBOtqCNc2EK5t6JiHYDaiTY+DcJhwTQNR3zZxFaIAURljZhz2EenYRqRjG5Gh3FfsAuuQVAZcdShbXpmzw8dFUYsoaqitW4XX14BGYyAY9GCz5aDTmdFqzSQnjsBsTsZgcNDYuJFWZxmhkJdQyEsw5Gn7t/L36AseRqNX1iDVVZtoKF/0hxEFdNY4DPYUIkH/VsFw5KG7fB77G0FPK2XzP6a1fD1ZyTe2ic0qexJRoyHpmJMxDx5B7WfvEWpspPbJV7EefRCOM49D1G9f1KzSNYIo4ph5FPrcTBpfeQ/nuiqWX/c2wx88GfvIjK4voKJyANAfa6veHLOgoIDS0lIAhg0bRl5e3k6vZbVaOeSQQ5g1axYej4fffvuN447r/X3s3WGvFQzXrNlq2zZp0qRdHpuamkpWVhbl5eXU1tZSX19PUlJSX09xn0aboSzqPSWNXRyp0tckHDQQU3Y83rImXD8vxH7i4TGfa5oymqZ3vyZYW02guhJD+q4r8DQWK9bho9v+131bsNZ8fZ8JDdvSnhdnjI+9+yDgbMBdsAZDayv0smAYbKjDvUHxm2/PdOwugihiSkj/Y1Eq+mTlvbhVMFQE0rA70KmaN9jiJVCv2Na2rq6g4JGvGPHwTESttN1Y+iQrxgwHvsoW/JuKMY0d1qM57/S5aJVfHXJYWbDHTT8c75ZCvJs30vDSu6Q+dAOirvdEGE2CA01yAuG6RlrXVpIwRREw4yflMvDmoyl8bja/v74FvVnD4VcP6jivan2bYDhwG8GwTWyMenxICQ4Egw7ZHyTY1IAxNx9f6RZcNVtIHDKl45zEIVNpKFyCt76M0oaFeH0NSHoTqWNmkDxsOqJm1wunuvWKNax11DikXqwaCruU56c1xd6JEPZ72rpjt/+56S1SU8dTVPI9gdZ6vA0VmJOyYjrPmpaPyxH75mi7YOhbV0jE7UWymGI6zzhmKFKCg3BjC/W/bSL1mBFdn9QLCKKAY3QmjtGZDLx+Bk1LS6j7eT0tCwoJ+aMgKNm2hlQ7hhQ7hjQbhhQ79tGZ+21nYTuSXosxzYGvsplgZS1GVTDcLzCbzVx11VVcddVVLF++nH//+9+8//77HV2Hn3/+OZ9//jk5OTlcddVV/OlPf9qhBczeyoG8VomfmMv4589jzf2f469qpu7xl0i4+nyMY/o2Q3p/RNBpiTvjWMwTR9H4+scES6uo+fRdXGtXknzKmWhtjv6eokoPiYZC+Eo24ysvwV9WQto5FyMZlXuVaMBPoGarc4ao1aMzO5Q/ljis1RLaFmWtJqVMJP7IPCSNHlGrQ5A0CAjK/ZwgYGh1ILqVY/WZh5A6cyzRaAR52z+RMNFICLvTgeRXjpV1OWhGHUE0HCASChANKX+3/9vWbMTQ1h3X6Pchh8NE3C4iO4jCsI0aD22x7u71a6j/9vNOj4t6PaLRhGQ0k3zi6RizcxURUatFkCQsQ0dinzAVQash1NxMoLIMX1kx/soyZI+PkGdrB56g0yDodETd3o4uweQjh5F70bRufX8yz5qIv9ZJ1RcrO31dY7Qy8sx7KF/0BdWbFlNds2yH5ycdcRIBo4UAUFmziYbSnVuchgOejiJYW+YQ5fttiUNncaC3JmCwJ3W5nthfkWUZT10Jdevm0ly6GqJRBEki2FCnCob9iCl3ADnX3UH991/SunQBrtnz8a3eRMLlZ2IYnNvf09tnMY4ZSsqDN1L//FsEK2pZdceHDLzuCNJO3t4tSUXlQKM/1la9OWZ3rtV+THt24po1a1TBMFa2DX3clSq77THl5eUd5+7Li/A9gTZT2ZDxlDR0caRKXyOIAlnnTmbjU7Nwfj8X69HTYxZbJLMJ07hheJeswbVmRZeC4e4Q9LTSUrKagNNIcvKoPhsHwNUmGJoSYq+2CnkV8UTqAxunpnm/gCxjzx6OMW73KuitpTKNlgaaF8wh+fhT0SUromiosg5Zlju6AeVIlKg/jGRUfhbcRXUAmBxaQv4ITYuLWf/4Nwy//yQEafs4WvvoLHyVLQQ2bOl9wVDTJhhGFPtUQRRJPeN8Sl96hlBlLc3vfU3CJaf16piGoXm46xppWVneIRgCpJ80mog/yJZ//8aPz29CZ9Jw0EXK74zqDUqFdSfB0NImGHr9CKKINj2F4JZygnU1GHOU67prt3R+vqJIzkFn4GmoIHHIZBo2LiZ+wNiYskNCPpey+AUckw/ajVdge8LudsEwdnGlfv18qpbPIjPjIAYPOqlX59OORqMnwTGI+sYCvI2xC4agvD9itRbWJaWgS0kjWFuNd9k6rId1fVMGyvfTesRUWj6eRdUXK/eYYLgtolYicVo+idPyifhCBJs96JOsOywAOFAw5yXgq2wmVFGDcfjA/p6OSi8zfvx4XnnlFZ599lneeecdXn311Y6uw9LSUu677z4eeughZs6cyVVXXcVRR8Vmm96fHOhrFVN2AuOfP591j3xF66py6p57A8cZx2E78TB106sH6HLSSX3gepzfzaHlix/xbCqg5MWnSD72VGzjJqmv6T5EqLWZ1sXzaV22kMg23YP+8lJS9Yqork2eQNzROegt8WjNDiSdYaffY1NCRsxrIp3Zjs5sj+lYW8ZgbBm7toBvJyvrMNLOnkAk6G/74yMc8BIJ+ogEfMR549GWKuJdwKlFb0tUHg/4AJloIEA0ECDc0sy2RaveLZu2ExcBRIMRjdVG+gVXIup0+Eo34ynaiL+8BDkY6ohwaKf0zfkYkq2kHjsypucDSsf0wOuOINDgpnFeUcfXI5EgzfZWLCl5BD0tBJyNCKIICCBHETQ6JI2u0/Owpg5AQEBjMHf+o1f+3ra4Ly5vDHF5Y2Ke5/6KHI3QWLSMuoK5+Bq3iufGnAEkn3g6+tT0fpydCihCf8opZ2EZNpKazz8gXNtA7RMvYz3qIBxnHqt2G/YQbUoiqfdfR+NrH+NdsobC//sJ16ZaBt105H6ZVa+iEiv9sbbqzTF7cq0dnbu3sNd+GrW0tHT8OzExscvjExISdnjuHwkEAgQCWzuk2sMoDzS0bZaB3rIm5Eh0h4KDyp4jecZQSt6cT6DWiWfuMqwzpsZ8rmnyaEUwXLeSxGNO6nJDQY5EaJrzI6WbChg245qYA9NbStdQvvBznLbsPhcMDXo7Bkdqt7IaQj7lvdzbuS9hjxvXyqUApI6esdvXi0bClL/+IhGXE31KGraxk0AQiHq8RFvdiHYLSCJEooQ9/u0EwwFTEplwehZv37CUht8L2fj3Hxhyx7EIYufvu2NsFjXfrcG/Yct2c9hdhDYLx0DtVl9bjcVK6unnU/m/l3H/sgjb0dPRpifv7BLdRj80H/ecpbSuKt/usawzJxLxBin93wK+fbIAvVnD6BPSaShWNml2LBgqlcrajGSCW8oJ1FYTP/1wkCSCriZay9djz9oqtJoSMzt+HpOGxv7+bNi4CCIR9BlZGNJjF866Qo5GOyq8tcbYf+a9TcqC3GBw9NpcdkR+/nGkHXM2WmP3chlc1ZupnPMLuuQUko7dPiD6j1hHjqOxthrv4lUxC4YAlkMn0vrFbFwba2hZU4FjVP/lo0hGLUajo9/G31sw5SbC3CJCFbX9PRWVPsRisXD11Vdz9dVXs2zZMl5++eWOrsNQKMQnn3zCJ598woABA7jqqqu49NJL91phTV2rgNZuZPTfzqDohZ+p/mY1LR/PIlhSScLlZyIad5y1rLJzBI2E/eQjMI4fTuNrHxPcUk7t5+/jWruClFPOjsmyW6X/CDbU0fDjt4orSZtNqNZkw5o+CEtyLvZwGrS9LQyOFAyOfaejWtLqO2wyuyJxyFQShyj3ynI02iEuhgNewn4PFn8KmjZxMRywE8waRsjvIexzE/I5lW5Iv4+g34eo1WLMysGYlYOg1eLbUgiAoNEiaDREg4GO13rTs7PRJVg6ohliQZBEht17Aqvu/AjXeqVgVQ4FcK9bhWnIEKRoOsF5m/5wkoDGYKHw+1fJO/wCjI4U4vPHY3CkEnDWt4mFlg7BUBEbVUBZB3dEOAgCVet+JNTUiKDRYB09HseUQzCkqfaMexvmQcPIveFu6md9gXPFYlyz5+FbuV7pNvxDdIlKbIgGPYnXna8UCX08i5pZa/EUNzD8oZMxJKs5xir7D39cx+j1evT6Hd9P9NXaalf05pj9Mf++ZK8VDN1ud8e/DYauBY1twyFdru1tMtp54oknePjhh3dvcvsBmgQHgl6HHAjiq2zGlJ3Q9UkqfYaokcg6cwJFL/6C68f5WI6YEnMlsXHMUASDjnBLM/6KUoxZubs8XpAknGtWEGqoo7ViPfEDxsU0jiNnJOULPqPVWU4g4EKv7zvLuAF5R5OQ373up5BXed9rLL07L+fyxciRCKbELCwpXVeJgGKt4qzYQMPGRcTnj+tURSpKGlKHHkrlkq9xF6zBMekgtPGJhBrrCVbWYHQMQjQZibo8hF0B9InK83FvVgTDtGE2Bk1P4pynx/H+7cup/WEdklHLwBtmdPqZcYxRBJBgWRVRjw/R3HtWmOYpY/AtW0fz/F8xDxmBKVdZKJgHDkGXnKrkj7Q4e1UwbF+MuIrqCLsDHcJfOzkXTSPiDVLx8TI+f2g19VvcRCMyWocRXYK54ziNpT3D0A+ALj0FDxCsr0XUG4ibdijRQABzcs5uzzkaDlFXMBeAuCmH7Pb1tiXi9YAsA0K3RDlvYxUAFkvsdr89wWRMUNBOzQABAABJREFUINSDzeJIyI+ncD2BumoSjzm5y89B66ixNP70Lf6CzUScbiRbbK+FZLNgnj4R96+LKH9vcb8KhioK5lzlpjpYqQqGBwoTJkzo6Dp89913O2Udbt68mXvuuYcHHniAM844g5tvvpnJkyf384w7o65VFEStxOBbj8YyKIWiF37Cu3QNoapakm66GG1q14tlle3RZaSQet81OL+fS8uns/EWbaTkpadIOuYUxbZR7TbcOxFF3OvXgCxjScsnefjBOLJHIIgHrnuAIIod3XY7Ii53NI7skW3diF4ioQBhv5ug10nI68RQGcTaZovqawKNwULY70YOhzqiEdqRI1EKHv6Ssf84t1OxYFdIBi0jHz2VFTe9h7+qBWRo/OV7Gn/5HkGjQeOIQ9BoiQYDRFxOkGXCPhdhnwtftpZwnPJ+rN+0gubff/7jK4CkN6I1WMg/6tIOkdhVXYS7rhSN3oRGb0bSG9HojEh6Exq9CVGr3y/e50FPK566Etx1pXhqS/A2VzLgzofbIhokEg4/hrDLiX3CVCTTjn9GVPYOJKOR1NPOxTpyDLVffES4vonav72CZcZU4s4+HtGgFgl1F0EQsJ9wGLrsdJpefgfXxhqWX/8OIx85Fduwvl2rq+x76Mp1SIZ9p6s34leKebKyOhfNP/TQQ/zlL3/Z4Tl9tbbaFb05Zn/Mvy/ZawXDvuLee+/ltttu6/i/0+nc7gf4QEAQRbQZihWfp6TxgBEM5UiUQIMbf01r2x8n/ppWwt4g8RNySDpsMFp7bDlYvU3KMSMofn0uoao6Ahu2YBiWH9N5ok6LcexwvAtX4lq7skvBEMAydCTNc3+mpXRtzIKhzuzAlJiFt6Gchsb1ZKT33cZda373bzj7wpJUjkZpXarkzyUNiy0Xw1W9mcpl3+KpLQHAWbkRU2IWemt8xzG2jCFULvkaX3kJciSCLjmFUGM9ocpajCMGIZoMimDo9nec095hmD5MsRkaflQqp/91NJ/8eRVVX6xEMuoYcMVWUUqfaMWYEYevslnJMRw3fLdei20xTx6Nb9UGPPOWU/Px2+Rcd3vHIq/drpRwpNfGA9DE29GkJBCubcsxnNq5mlEQBAZcfRgRX4jqb1Yz9w2ls9KSn9xpwd3RYehp7zBUFu7BOqVbMvFopUvXh2KPuVsIAgnHHI9rzUqso2J7n8VKe36hxmiJeSMqEvQTdCm5tdY+FgwB7JsDtObrkaORmOdoSx+MoNURbm2JKZdVF5+IPj2TQFUFnsWrsR0Vu+2r7YRDcc9ZTNPiYtxFdd3aXFLpfcx5irAQqqzplN+qsv+j1WoxGo0dCytBEJBlGVmWCQaDvP/++7z//vucdNJJvPjii2Rm7t8C/766Vkk/aTTmAYkUPPwlwao6ah99nvgrz+11W/QDBUGSsJ9wGKZxSrdhoKiUui8/wl2whpRTz1azDfcCAnU1+Eq34Jik3Hvo4hPJmnoq1tT8buWw769EI2FCnlaCnmaC7haC7maCnhZMCRkkDVNes0jQx8q3HmBbe89tceSOwpau5JMnDZtOxaIvdzlmxBdizZ8/Zdzz52NIiX1NqHOYGP3E6Sy/6T3CrT6QJBAE5HC4zUZVQdDqMKRloE1KQWN3IOq2rlm19jiM2XmEvR4iHjdRnxeQFSE04MWbrSXULi5u3Ejz0j+Ki1sZNvPWDmeTxsIlNBYtQ9IZkHRGJK0BSW/s6Pq0Z4/sKB4M+z1Egn5ErQ5R0iJqdH3S4SjLMnIkTCQUIORzorcmdHSgNhevom7dXAKuRkLe1u3O9VeWYR44BEBx2lHZpzAPGkbODXfR8MOXtC5diPvnhfhWbSDhsjMwjhjU39PbJzGOHETygzdR/8//EaqoYeVtHzD0zmNJnqHeP6ns+5SXl2Ozbf19vLPuQpW9j71WMLRYLDQ3Kzdnfr8fi2XXXQM+39YgbKt15x1Gu2p/PdDoEAyLG0g6NLb8gn2VxsXFbPn3r/gqW5Aj0R0fM6+IzS/9jGNCHskzhpJ40MAOO8g9gcasJ+Wo4VR9tQrXTwtiFgwBzFNG4124Eve6VSQde0qXCwPLMEUwbC1f39kapAvickfjbSinunpZnwmG4XAAOart9uKmw5LU0nuCYai5kWgohKQzdimsyrLM5tmv01peAIAgadBrrfj9zZQv/JyBR1/WcawxLhVJZyQS9BGoqUKflIpn/VpClYooKJqUSpOwR7Eki/iC+CuUz8O0oVuf39iTMwn6Inz5yFrK31+MxqQj+/wpHY87xmYpguGGLb0qGALEXzSTQFEZ4doGaj7/gPTz/oQgCAhtP0tyKNTFFbqPYWg+7tpGWlaVbScYgrLJPOimI4n4gtT9vAFgOxFoe0vSNsGwsR45HN4qeALObDBvDsRswfRHREmDfcJU7BNitzCNFTkcRpuQhF4Te0etr0npLtTr7Wi1fV8Y4XbXsPGbr5GjUYaefGNM54gaLfaMIbSUrMG9fk1Muay20ROor6rAM3dZtwRDbXKCYum8cBVl7y1i+AMnx3yuSu9jzHAgaERkf5BIYwuaRNV6b3+noKCAV155hbfeequTDYssyxx22GEcc8wxfPjhh6xatQqAr7/+miVLlrB48eK9QjRU1yrbYx+ezviXLqTgka9wrqui/rk3sZ92FPaTZ6i2fD1Em5ZEyp+vxjV7Hi0ff4+3aAOl/3qa5ONPxzpqvFpc0Q/I0Sgti+fS8MPXyJEI+uQ0kskFwDr84P6d3B5GjkYJupuQZRmDXbGPDgd8FHz6VJv7y/ZCoCN3dIdgKGoNIAggy2gkA5LUJnSJWiRRgzVsx7LJhSTpiEbDmIxJBIMuopEQkWio4/qi0ajYk0aiBJs8rLnvU8Y9d26Hs0hXREMRQq0+UmYMpfrbNUQDWzMSBZMByWom0upB9vvxlRXjKysGoOmX79GnpGPIzsWYnUfKaeeijU9UCl8iESI+LxGPm4jXg8a6NVvSkJ6JbdwkIl4vEZ+XqM9LxO8j6vMih8P4B5iItImLrRvrcFUV7nTu2ddmYUhTfqc0zVlIw4/fdnpckDQd4mH+UZdiTspWjt28nLqCuQiipPwRRGRZVl5TWSZzyikd2ZmNRcuoWfkjkXCAaChAJBQEeeueSuafrsOUo+RPu+t9W/PgBQF9ShqGrFyM2bkYsvLQxsWjsm8jGQyknHI21hFjqfniA8KNzdQ9/RrmQyYSf+6JvepsdKCgTYon9b5raXj5fXwr17P+8W/xljeRc9FB20XPqKjsS9hstk6C4a7oq7XVnhpz23P9fj9d0Rvz70v2WsHQ4XB0fNMaGhq6/KY1NjZ2Olela3SZihWfp6Shv6fSp9TMWkvhP34gGlEWFJJGwJFuxJFuIi7TSFyGsnG+bnY1VQVOmhZtoWnRFrRGibipg0g6fAgJB+XvkQV5+iljqfpqFd7l6wg3t6KJiy203jhyMILRQNjZiq+spMMicmcYMrKRrDYiLieuqsJOWW27ImHwJKqWz8LpKqe1tQy7PTum87pDccmPVCxYTMaE40gZdXjM54X9XqB3Mwx1CUkMuO0BNKtrEDW7bv8XBAGdNQ4EkYy0SeTmHEE47GPx8pcw2JM6dVkJooglJY/W8gJ8pVvQJacCEGqz4usQDN2KYOjeUo8sgzVZjyWh8ybi5LNzCHrCzPr7Bkr+O5fkI4d1VNQ6xmRS/c1qAhuKe+01AQg3O/EsWIE2LYlwbQOeDWtpXTIfx+TpHYKbZ8ka5HAEbWoimtSkXglFNwwdgPu3xbSsqtjpMYIkMuSu44iGozT+von4PwiLHZakPuUXuBRvRzDqkX0Bgo316FOUivBgUwN1X32MNqQh/6jLuv3+jwT9eAf13WLJmJVD3s33dqsL0tu0Z+xI29FqTbhrlA2DoKcVnTm2zzNH9khFMNywlsQjj+/yeOuYCdTP/opgSSXB8hp0Wakxz9F+4uF4F66ifs4mvBXNmDJVkaq/EDUSpsx4PCUNBCtqVcFwPyUQCPDBBx/wyiuvsGDBAoC2DUqw2+1cfPHFXHPNNQwbptyX3HvvvSxYsIAHHniAn3/+mdraWh555BFeeeWVfnsO7ahrlR2jT7Aw5pmz2fzvX6n6YiWtn/1IsLiSxKvOQTTFtnmv0hlBFLEdewjGUUNoePVDgsUV1Hz8Du71a0k5+UzVym8PEg0GqXrvv3g3bwTAljmUOG889I9BzR5HlmVcVYU0Fi7F11yFv7UeORLGkTuK/CMvBUDSGQgHlO46UdRg0DvQGxwY9Hb0ejtWSwb2zVtzWg+edg8ajRGxbZ3U3LKFNWvfIRz24XJVodWayM05HFHUMHL4uSxa8tx284r6/DgOPpyWub8A4C1pZO1DXzLm6bN2udneMLeQik+W4dpYSzQY3v4AUUD2+gm3RRlICQ606ckIWi3BsioiDc0EaioJ1FTSuniecorRiCE9C2NOPqaBgzGkZ21XMGEdORbryLE7nFM0FOwowASwjRmPPjWNqN9P1O9ThEW/j2ggQDQQQDJt/d0jy/L/s3eegXFUZxd+ZmZ7kXbVu2S5915wAUwHA6abXgOhJwECIXxAaCEkoYTeS0JvNs10MGDce7dc1Hvbpu278/0YSUZYtnZl2ZLxPH/Au3Nn7q60q7n3vO85CFpth8JNORImEgkTCfrwZopEs5X3w13mpKWudI/vjdvmI5KvHOutC+J31nV6nGQyK2JtK6bCQWScfRHaBBv6jExEvfq9/1vF1H8QBdfdSsM3n+FYupCWn1bgX7+VpItOwzR+eG9P76BDNOpJvfEiHO99gevzHyn93xK8pU0M/vMJB7SRQUWlt+iNtVVPXvOX/25o6Fpn6etrwz4rGA4ePJjiYmWTu7i4mIKCgr0e33Zs21iVrtFmK5uqLTvre3km+w/Xpiq2PaaIhWNPy+Ho6waRkGZAlHZfOBxx5QDqdrhZ93kV6z6roqncS933W6j7fgupRwxi0M3HozHtX89oc78UEkfl4FxXgfvbxdjPOiGmcYJWg2n8cFoWrsS9bmWXgqEgiliGjsS57Geadq6JWTDUGq0k9R9H47bllJX/xMjEC2IaFw8udyVyJISkj2/lPeKcv+JM8/X4okTQaNqrK7tisO0IBkw6DKNRqZzU6xOYNvlWfEN3r6S0ZBTiLN+Et2Q7KUefBECwoho5EkG0Kq890Kh4YPtrlO7JlPzON4SmX9afTd/VUra6maalO8k6dQwAiaMUC7NgWSVRnx/R2DPvjeO9z2lZtLrDY57NG7BNmtaeIeldshbvkrXtz0v2BLQZqRiGDSDhxMMRNPHnueiHFoIAnqJa3EW1WAeld3qcqJEYdufJRLxBNOaOAqugURbsclBZSAuCgC4ng8C2UvyVZe2CoRwO4y3eDtEojduWkTJoMrHS0lDOtq9fIO3kM/e4GdAb+NryC82xC2r7gl6fQEJCLi5XOc7yTaQOic3WNzFvGIgiwdpqQs1NXVYia8wWLIOG49m8npbFq9Hldi0ytqHLzcQ4egi+tVuo/HAlA288JuaxKj2PqSCZlpIGQlW1MGZIb09HpQfZuHEjzz//PK+//np7N2GbUDh27FiuueYazj//fEym3f/2H3bYYXzzzTeccsopfPbZZ3z77bcHcup7RF2r7BlRKzHwhqOxDkqn6LFv8K3ZTPU9T5J6w4Xocg7M36DfItqsNDLuuAbnZ9/j/Pg7PBvX4ivdScZp52IepFqXHQicyxfh3bEVQaslZ8IppA6dekh0ecpylMai5dRu/BF/c02H50RBg9YT6SACThx7LTqdBa3W3OX7o9N13JwrL/+ZcFipupeJsrP4K1IdJkRBIhDxkKrLRxI0SIKWSr/iKCLqDIR3lKHPyiVQVQ6Ac205gXr3btaksixT981mjDl2yt5cirtIKdg02bTkjU0iY5CV4uWNlK5qhqiMRi9iGZKNa3M1kUYHkUYHiAKmCSMxnX8KcihEcHsZgR1lSna8z4d3RxHeHUU0fvc5otGEqXAgxrx+GPP6oc/IQpD2vA4StR33G/TpWejTs/b6HraRfMSxJB9xrGIZGg4hh0JEQ8H2/+qSdzmvWIaNRJeSihyJIEcjEI2CIIIACGJ7QSuAefAwclKuRdTpEfV6BJ0OUWdA1O1ueapLSkaXdGjE3aiAqNeTNusMrCPGUPPRu4Qa6qh/4n+YJowg6cLZSLa+1zXTlxFEEfuck9BmpdH02ofU/1iEr8rB8Htmx2WzrKJyMNIba6uevOYv//3L47pzrr5AnxUMR44cyRdffAHA8uXLmTlz5h6Pra2tpbxcuTFMS0sjNTX1gMzxYEeXr9x4+iodhFsCu22sH+yE3H42PfAZ0bDMiOMzOeO+UV0uWNL6Wznm+sEcfd0gKtY7WDe/iqVvl1L/QxEtxQ0Mu/tUzPn79wY458xxONdV4F2wmMRZMxGNsf1czFPHKoLhhjWknngaonbvVUgJI8fhXPYzzWXryQ+f2WUHXRvpI4+kaccqonYTshxFEHrOYioaDeN2K91jlrT8uMZ6CkQker7Cem8dXM7yzTQULSXXPJrU1GGg270aRaczo2vLcvtFLpc1U7FtCdbXoU1JQ9QbiPr9hCpq0OVk4GUtLdsVMV9jVn42Qe+ecwH7T0mhbHUzzo1V7YKhPsWCISMBf42LwM7yHssVCDcoFTjmIcPRZ2Qj6Q1Yho0EIPWE2egzsgk21BFsqCPUWE/E20Kk2UWk2YV/8w5867aQcu35MXfQtqGxJWCeMoaWxWsofuknRj101h6PFQSh0++0QJ0SJiwl29ofMwwbQGBbKS3bt5I4ThEG9WkZpBx9Ig1ff0bZkrmY0wow2joXKH+Jr6maoq+eJ+rz4li+CMvw0X1mIykhdwiIInZ97HbH+0py0mBcrnJclVtjFgw1ehOW1AI8tTtp2bYZ26RpXY6xjhqnCIZL12I7+4S43vOEE2bgW7uFmq820e/y6THbV6n0PKZcpaswXPPbdj44VPD7/e3dhEuWLAF2iYQGg4FzzjmHa665hsmTYyvIuOCCC/jss8/a7/l7G3Wt0jUZx4/A3C+VjX/7iEBtA7X3P0XS5WdjnjSqt6d20CJoJGyzj8E4egiNz79LqKqOytdfIHHiVFKPPxVRt3+LGw9lZFnGuWopALkTT2231Tw0EKjfshh/s+K6kpk2juSkQZjMqRgN9t3WgxZL9wsDBg08BZ+/mZaWXcLk0uZ5AGg0Bg6fflf74y1rXsLh2IE5ORt39fYO50k7agj6tN3FitqvN7H1n18gGrQUXnV4u2B4yv+NYOQJu4S55iovH96xluLlTXi3VTHsntlEPAGqP1uHY0053mXr8C5bh65fDtZjp2GfoxSsBStqCe4ow7dpO/5N24n6vHg2rsWzUSmkFHQ6DNn5GFttTA25BUiGHi54FQQErQ60uj2uj3XJqeiSY/tbpE2wqbmpKnvFmF9I/jU307TgK5oWfY93xQb8m7ZjmzMLy+ET+sx6+GDBMmMCmrRkmp75L57tday67g2G3zubxGGxFQ+oqByM9MbaqievOXLkyPb/X758eZfX/uUxI0aMiGveB4I+GyZxwgm7Oqs+//zzvR47f/4un/aTTjppv83pt4ZkNbdvmnu2d24xcbAiyzJFD39FoNaFPcfEaX8bGddNiiAI5I6yM+svw/ndK1OwpunxljWx7ob/Uf/D1v04c0g+bADGHDthTwDPj11/ybRhGFKIlJRI1O+jZevGro/PK0CXloFl6Egiwa79ldsw2jMYdd5dFBx+bo+KhQBuTzXRaBhJb0KfmNb1gP2IZ8tGih99gPIl8/Z4THPJOhwl62l27OjyfL6marZ+8nj7YtaUnM2w02+h4Ma/IEoShlxFIPUXlaDLVzoa3duVBawmQbG29DqDezx/3hhlo921sarD4wmtN5WB7Xu2nImXiLsFAPuUw0k56gTs045Ea1eEdI01gaQZR5Fx+rnkXXkj/f9yH/3/ch+5V95I6qzTEYx6AttKqb77Cfybu37ffk3iGcchaESaV5bSvDL+1+Srdirz/IXdoXGkkuHq3bEVObJLlLVPm4mp/yDkUIji7/9HNLz3XEa/o46tXz9H1OfFkJ1H1nnxW5nGSvV7/6P0mYdxVRbFPMZeMIr8aWeRZD+QgqHy3roqtynVyzFiyx+Bsd/AmC2GzYOGIuj0RBodBHeUxTVH/ZBCtDnpRP0har7o+rtTZf9hzFG6SUO1qmD4WyArK4vLL7+cJUuWKN0OssyAAQP417/+RWVlJa+++mrMYiGA3a58b0cisX+X7E/UtUpsWAelM/6ZC7GNzSPqD9Hw9Js0v/1Zh7+3KvGjL8gh4283YD1WKapxLl9E2XOPEqip6mKkSnfxl5cSrK9F0GpJ6r/3bPODHb+zntKF7xEOKJ1+giAwIGMmA/qfyLTJtzF40KmkpAzBZEzu8fWgwWBj8sQbOWLGPQwbOock+0CSkgah1ydi0NvbC0/C4QDRaAhzWv5uYqEhI5G0Y4btti4KuXzsfO4HAKL+ENWfriPnrPEAzL1rHfXFnvZj7VkmLnp6Ev2npBD0Rth670do7SZG//scxj9/MRknjEDQSgSLK2h8/h0qb36I5nfmIwdDWGZOJu2Gi8h98i7S77ga25nHYxw1GNFkQA4G8RVvo+mHr6n83/PsePAOSp95hLrP5+HetI5IiwcVlYMRUasl5dhZ5P/+T+izcol6/TS98gG1D71AqOa362q2vzAM7kfa/92INjeDkMPL2pvfpW7B/t2LVFHpTXpjbdWT1xw2bBh5eUps1+bNmykpKdnjuTweDz/99BMAJpOJI444Ip5pHxD6rGB4xBFHkJGhVKYtWLCAVatWdXpcJBLh8ccfb//3ueeee0Dm91uhrcvQs+23JRhWfbyWhoXbkDQC5/57LAZr9z2/88Ymcd17M+g3KZmgN8Km+z5l+zMLiIb3z0aHIArknDUBANdXC5FjvI4gipinjlPGrVnR9fGCQP61t5B55vloTfHZG2gMSieds3/PdqU6nYoAZEkriEto8TZWUfX2qzR+/2WPzSVYX0OouZGwv/NFmyxHcZZvBiAluWsbKOfSn2ipL6P0p3eJhoMIoogxKbP9dRrz+gEQ2Fa6q/u3opmwN4g2Qak69Tr2LFjljrYhCOCvcbZbmcIvBcP4RJS9EW0VDCXz3v2925BMZoy5BdgnzyD/qpvQpWcSdXmo/eeLOD9dgByNxnxtbWoSlplKp9rOl35Cjsae4QfK+6OcZ1ensK5fDqLZSNTnw1+5q3NFEEUyzjgfyWzB11RNxbKP93jegLuRos+fJeJxo8/IJvviq3q8WrjD9WqqCFRXxj3ul3ZRBwKrNQut1kQ05MdTWxLzuPSRR5B72TVYho7s+mAU+ybLUKUqq+UXVrixIAgC1mOULoHKj1YjR2L/fVTpWYzZaofhbwmHw4Esy4iiyOzZs/nyyy8pKiri5ptvbhf/4iE7O5tLLrmEiy++eD/MNn7UtUrsaBNNjPrHmeTOmQiA64ufqP33S0Rc6sb4viDqtCRdcAppt1yBlGglWF9L6fOP0bzkx3ZRRaXnCLsciCYz9vzRSLr9l1Pdm/iaa9j5/ets/OAhGrYuobFoKYk7AiTuCJCSMoS83BlotQfmtUuSloz00YwZfRljRl3KtMNuY9LEGwCor9/I0uWP4XKV7ZbDJ0giuedOZOP/fcjG298j4t+1fip++WdCTl/7v1t21hPxh0gclUPQG+Htm1YR9O7KMtQZJS58cgIDp6cS8kXY/H8fUPzqz4g6DYNvOZ4pb11FwWXT0CWbiTjduL9eRO3fn6Xypn/Q9MbHBHaUo++fR+IpM0m76TJynryLzPv/SNIlp2OeOhZNahLIMoHqChyLf6T67VfZ8dBdlDzxELWfvI97wxoi3pb9/E6rqPQs+oxs8q68kZTjT0XQaQls2UnV//0H58ffIYc7yQpV2SOaFDsZd1yDccxQ5FCEzfd/StlbS9W/8Sq/SXpjbdXT15wzZ077/z/yyCN7vO7zzz9PS4vy9/3UU0/tNJajt+mzgqEkSdx11y67iYsvvpi6ut1Frb/85S+sWbMGgGnTpnH88ccfqCn+JtAVdOxk+i3g2V5HyXNK4PlxNw0he4Rtn89pSdZz6fOTmHGF0plT+cFK1t7yXgdhpifJOG4YWpuJSKMD7/L1sc9zmiIYtmzfQtjj7vL4tswBd373uqB8zTXU1sa3Ob832gXD9IK4xgVcDXg2raNlR+zdVl0RbFC+bwyJndtQeuvLCfvcSJIem62gy/P1LzwevT6RgLuRqlW7C5u7BMMSRKsZyZ4AMrTsqENrVRbmAU+YSKhzMcNg0ZI+ULHd+WU1bcLwVsFwW2mP3KDL0SjRFmWhHatg+Et0yankXfkHEsZMBFnG8f4X1D/xv/ZzxkLiKTORTDo8RbVxd/z62zoMU3dtVguShKHVrrVl+5YOx2usCWScqWR11m9exJZPHqdq1Zf4Hbu+M11V29g092FCXie61HSyL/k9knH//cGXZZmQ0wGAzmyLaUzQ00xLfTmRyJ67VPcHgiCSZFfeW1dlfD+rvdkBd3r8SKXav2XZurhEaADzYWMRzUb81U4al3XtN6+yfzDl2ACION1EfQdW3FbpeTIzM7nzzjspLi5m7ty5HHvssft0vhEjRvDKK6/wyiuv9NAM9w11rRIfgiRSeOXhDLvrFCSjlsDmnVT/7QkCO/uGxezBjHHEQDLv+wPG0UMgHKZ+/jyqXn8xprWASuxYR4yh8Ja7yZl0Sm9PpcfxNlSw49tX2fThv2jeuRpkmZTkIWRE8np7ah3w+ZtZt+F/rN/4BoGAE0HaPWEn7/xJlL+9DDkKIV8Ef62SBe/aUk31Z7uvW6s/XUf6MUPRJZmp3ebm4/s2dNiM1xokzv/PeAYfnkbIH6Xs9SUsv/RlVl3/JvULtpI5axSTX7+SEfefRvqxw5BMOiIO1y7x8OZ/0PTGJwSKK6A1O906czIpV80h+1+3kv3o7aRcfR6Wo6agzVbWncH6WpzLF1H97n/Z8dBdlD7zCPVffYp3RxHR0N4dT1RU+gKCJJE07UgKrrsV04DBEA7j+PAr5e9+DxYyHwqIBj2pN16E9VilwLX4pYUUPfL1fmtgUFHpLXp6bfXqq68qFt2CwJFHHnlArnnLLbdgtSr7sk899RQff7x708HSpUu58847AdBoNNx9992dnqu36bMZhgBXXnklc+fO5euvv2bjxo2MHj2aK6+8kmHDhtHU1MRbb73FwoULAbDZbDz33HO9POODD32r9aGn6LchGEZ8QTbd/ynhYJTBR6Qx9aJ+PXZuSSNy/J+GkDvKxgd3rMW1oZJV177B2MfP6/EAYlGnIfu0MZS8ugjXFz9imhJbDpo2MxVdYS7BneW4167EPu3ILsfIskygpgqhNoAlPfb3q6W+nC0fP4ao0ZGUNBCtdt8EElmWcbqUm0dzWkFcY9u6ADXdELD2RLC+VTC0dW6N6ihTrAuTkwYhil1/lWo0BgYPms269f+ldsMP2PuNxmBLp/r99/GXl5B71R9BEpWsv0YHuvxsfM0u3NvrlC5BAZAVW1JrSueda3lj7dQUuXFurCL1cMUK0tI/Da3NRMjhxb+1eJ9zDKMeL7Quorsriok6Hemnn4shr4C6+XPxrd5M9d+eIPWGC9Hlde3LLyVYsBx/BM65X1P8ys+kzBiIqJG6HCfLcnuHoSY1qcNzxpGDlCySbVvgqBM6PGceMBj79KNoXvgdLXWlSiXzoEys+UolksftJRoKoE1KJueSq3v097Azon4fclARU3QWW0xjmovXUrHsE5rTRjF82IHtbklNGYbfEMaUnBP32LDHTdjZjCG76w0rc+EgRKOJqMuDf8tOjMMGxHwdUa/DcvhEXJ//SOXcVaQcduBsW1V2obEY2r+vQrUN6FuLmlQOTsrKypCkrr+bD2bUtUr8pB4+CFN+Mhvv/ghfRTO1f38G25xZWI+ZqmYc7QNSgoXUP16C59slNL39GS3bNlP69L/JOP08zAOH9Pb0fjMkVkpg3L/3eQcSORplx7ev4izbZcmemjKcgvyZWK19JysrGo1QXvEzxWXfEQ0HQRDR6IyEAx2772xj8/DXufHXuNof89e6MOXY2fafb+CXtWiiCK0FZjue+5GBfziGoofms+aTSgomJDHhzF33nlq9xPmPj2fDl9Ws+aSS7YvqcW+pxr2lmp3Pfo9tQj/SjxnGoD8dy6A/HUvzqlLqFxTRsGg7kWYX7q9/xv31z2gyUjFPHYP5sLFoW9ciGnsimimjMU8ZDSjRD4GiEvxbduLfvJ1QRS2B6goC1RU0L/wOQavBmFeIeeBQzENGoEtKRkWlr6K1J5N90VW4162i7qt5hCpqqXngGaxHTcF21gmIxp51rPqtIogiSReciiYtmea3PqXm8/X4a50Mv+tUNBb1PVT57dAba6uevGZaWhpPPPEEl156KdFolNNPP51zzz2XY489FkmS+Pnnn3nttdfw+5VYsHvuuYchQ/rmfXqfFgw1Gg0ffPAB559/Pp9++ik1NTXcd999ux2Xk5PDO++8w/Dhw3thlgc3bVlp3vImIr4QkrH71p19gW3/+RZfRTMJ6QbOfCA2kS1ehh2dQdoAK2/csIL6nR423jWPMY+d1+PvXdYpYyh7exnB0ir8m3fEvPltmT6epp3luNauiEkwdK1aSu1H72JOK2DIKTfEPD9TSg7GpCx8TVVUVC6hX8FRMY/tDFmOkjJyOi11pZhT46tmDfmUCurudLx1PheZYKMiGOoTOw/PdZZtAiAlpWs70jZSkoeQnjaG2ro1lP70LoNP/QP+7dsJeV0Ea6rQZ2QTqCxvzTHMwrdmM55tdQiSiMZiIOz243WE9iIYJrHsnTJcG3dZVQqiQPKUQmq+2IBvzeZ9Fgzb8gtFoxFhHzaCBUHANuEwDFk5VL39GuH6JuoeeZXsf/4ZQdf1Zynh+Om4v12Mv8pB2RtLKbhkapdjwi4/Ea/SYffLDEMAwwhFYPVXlRNp8ez2u5Ry9InYJk6l4bvPEbU6tLZd4w3ZeWSccT7mwcP2a2dhG+HW7kKNwYyo0cU0JuBpAsBgiN8GcF9JSxuJ/rAJcY9zVRax86Xn0Can0u8Pt3d5vKDRYB02CufKJXiXrI1LMASwHjUF15c/4VhVRktpI+Z8dQOmNzDm2Ak5vIRrVMHwYOe3LhaCulbpLub8ZMY9dQFb//UlDQu30fzGJwS2FpN8+VmIpv1n5/1bR7HYPgz9kH40PPsWoYpaKv/3PPZpR5JyzKx9um871PFVlGLIykWp4PvtIIiici8pCKSnjiI//0gs5s7dVXqTaDRMWe1iouEgloxCks86C+fKpTiW/ASyIvppEgykzRxM0SNfIwhgyzbSXOEjUOOk6tO1u0WwJI4/DOeapRAKE2kJUPnhSvIunkrJKz/zzRNFjD45G61+12dG0oiMnpXN6FnZuBv8rP9cEQ+rNjlpWrKTpiU70dqMZJwwkqyTR5H8l/5Eg2GaVpZS991mGn/eQbimHueHX+P88Gv0gwowHzYW08SRSJZd6wfJasY0fjim8crfi7DDhX/TDvwbt+HfuI2Iw413RxHeHUXUf/ERurQMLIOHYx4yHEN2XruDkIpKX0EQBBJGj8c8cAj1X3yMa81y3N8uxrt6E0kXzcY0dlhvT/GgIeHYaWhSk2h89k0cq8pY/Ye3GPn3M3q8gUFFpbfojbVVT1/zkksuwev1ctNNN+H3+3nzzTd58803OxwjSRJ33HEHf/3rX/d5/vuLPn83YbVa+eSTT5g3bx5nnHEGubm56PV6UlJSmDx5Mg899BAbNmxg6tSuN4tVdkeyWZFsivWhZ8fBnWPYtKKE2m82IYhwzj/HYrLFtpHeHVLyzVz87ETMSTo8O+rZ8s/P485S6wptopGM45VMLtf8H2MeZ5o0CjSSknFW03XGmXngUBAEWupKCLgaY76OIAhkjFJEwoqKRftsdSiKEpljjmHAcVcgauITX9s6DHtKMIy0eIj6fCAIGBJ2FwwD7iZ8zdUgiCQnDYrr3AMHzEJjMONrrqZh8yKsWYqA5925DWNeoXL+7aXtdsGe7crnUpug2JJ6HXt+n/PGKGJQy/ZaIoFddjXJrd1SvjVb9tnvPuppzS809cx7bcjKJf/qP6FJtBFxuPD83Lln+K8RDXpsZyo2AKX/W0zp60u6HONrtSOVbAm7iZIaewLanAyQ5U6tbQVJQmtPIvPMC0g/9ewOHW9aexIJYyYcELEQIORsVq4box0pQNCtjOkNwRC6l51oTs0DUSTUWE+wKbZMuzZbUu/KDXFb8GpSkzC2Llgr566Ob7IqPYYpR/kdDdXU9/JMVFRiQ12rdA+NWc+wu0+h/7UzETQi3hUbqL77cQIl8efzqnREl5NBxl3XYz1ayXxu/nkB5a883W5nrhIfgfpayp//DyVPPEQ0cnDnb8nRCLUbfiToaW5/bEjq0UyZ+CeGD5vTJ8VCZ389LYMTyJ92NrlTzyTzmusIOx041yxpFwsBCq8+koqXFwAw/fL+DD5ceS0tpY0Uv7ywwzl1ZjvO5T9jzClof8y9pYaQy4c+1YKnIcDaTzp+F1VvcfHeX9bw82s7CXjCTL2oH9e+O50bPzqcI67sjzVNT8jho/ztZSy76EXW//VDmleVkjypH8PuOJnD3ruawbeegG1cHggQKCqh6bW5VP7pAeqffhPfhm2dWuprbAlYpo4l5cpzyH70r2Q+8Cfs581CP7QQRJFgXQ1NP31L+QuPs/Nff6Nm3tt4tm5UrUtV+hySyUzGGeeRfcnVaO3JRJqc1P/nv9Q/+QZhh6vrE6gAYBozlLS/XI1ks+ItbWTV9W/g/o04xqmoQO+srXr6mtdccw3r1q3jpptuYtiwYVitVsxmMwMHDuTqq69m+fLl3HPPPT02//1Bn+4w/CWzZ89m9uzZvT2N3yS6/Cx8DheebbUkjjh4q/mrPl4DwORz8ykYn7T3g3sAe5aJ8x8bz8uXL6Hhp22U/m9xTF1O8ZBz1gSqPlmLf0MRwfJqdLmZXY6RLCZMY4biXbEB5+oVpJ2495+pJiERU7+BeHcW0bRjFZljY88YsvcbReXKZILuRqqqV5Cb0zubYSFfzwqGbfmFOou9U/EyHGjBnJaPNijFbcWq05kpzD2Kom2f4KzYTPKA8TRtX4l35zbs02fiWPwDgaISEk+eCUBLSQPRYBhNggEqwefY8+LPnm3EmqrHXR/AvbUW2yjFAtI+Lh9BKxGubyJUWYsuJyOuOf+SiKtNMDR3+xy/RjKZsU89kvrP5+Ga/wOWGeMRNF3/ebIeMZGo043jw68oefVnoqEIBZfu2dJslx1p56KZceQgQhU1eLdvIWHUuO6/oP1MOM78QujdDsP2ObgbCTgbSMgZHNPxks6AJb0fnuodtGzbjG7yjC7HGAv6I1kTiLhd+DZswzQm9g5ggIRjpuJbuZHabzbS74rpaK1qp8uBxpjbKhhWq4KhysGFulaJH0EQyDljHAnDMtl036cEapuofeBp7OeejOWoKapF6T4g6rQkXTQbw7D+NLz4Hv6yYkqff5jM0y/EPCC2v8MqCp6N6wAwmVIRO8nMO1hwVW6lfPE8/M46WupKGJs/R3nCuP/Xzd2hqnoFwRwrdkYhy1Hc1dtprttKwqIgDV9/ptiJigJEZbJmj6FhwVa8jhAZgxM4+vpBLHmjBIDGJTuJtOwquBQ1eoItimDqK96OZLYQaVHWkpUfrCLjpJHUzF/Pwld3Mu70XERJoHabm9d/txCnQ2btp5V8/q/NJOeZGHR4GmNOzubYPwzhqGsHsWVBLcveKWPHkgaalhXTtKwYfXoCmbNGkXXKaDKOG07GccMJNLip+24Ltd9spmVnvRKLsGwdUrINy/TxWI6cjMa+e8eQIAjostPRZaeTcPwMIi1e/OuK8K7ZjG/dFiItHlyrluFatQxBp8c8cAiWYaOwDBmOqN1/xdQqKvFg7j+I/Ov+TOOCr2hetADvivX4Nm7DPudELIdPVLtkY0BfkE3GnddR99irhMprWHvzOwz/22zs4/N7e2oqKj3Gvq6tLr30Ui699NIDes1fMnDgQB5++GEefvjhHjnfgUb9JlZp72Q6mKtSgg4vTUt2ADBpzoH7I5k/LolT7x4JKF1O1fPX9ej5jZmJpM5QOtCcn/0Q8zjzNEXscK9bGVOXjXX0eAAat6+IqwNNECUyRh4JQFn5T0Sj3a+6ra1b124tGi893WEY9fvQZ2aTmNO5l7Q5JZchp9zImFGXdev8aakjGTTrOgYc97v2DkN/VTnaFCUvMVRZC5KIaDVDVMa9rRZtotJh6G7w7/G8giC0dxm6N1e3Py4ZtdjHKZ8L37qt3ZpzG5EGZYHdU+91G4njJyOazITrm6i85Z845n1DuLnrSsPEU4/CNuckAMreWEL1Z3v+DAbqlPNJ9sROnzeMVLpFPVs2Emzsu2KFoNWiS0nDsAe73F8jy3J7JbnBYNuPM9szLlc5G979OzsXvI4s7149vScScxTBr6Voc0zHC6KIdbiSAeNdGv/3sX5IIdqcDKL+MDVfbIh7vMq+Y8pTrGBDVQe364GKikrsJAzJZPwzF5J8WCFyKELT/z6i8fl3iAb2zb1CBUzjR5B5z43o8rOIuluo/N/zNHz3RaedTCqd4ytR1piJufEVIfUlgp5mtn3xAn5nHVqtmXRt4T67juwvQiEvGze9w5atH1K84A38jlqqV31F7foFBGurafjyE0UsFICojG1cHhFfkKZlxWh0Imc/NAaNViQhTSn6CtR2XE9Iuo7FYG1iYRuNS3ZgsGpoKGlh2bulAHz69w04HTL9+kuMGqMUkzaWeVn8egkvXPgzLU0BJK3I8GMzuezFyfzxsyOZdkk/jIlaArUuSl5eyKprX6elVHHz0adYyT1nIhOev5hxz1xI1uwxaCx6Io0OnB99S80d/8a9YGmXn1PJbMJ82BhSrzmP3CfuJO3W32E9ZipSUiJyMIBn41pq3vsfO/99D3Wff9ReFKui0tuIOh2px51M/tV/Qp+di+zz0/TqXGr/8by6BogRTbKNjL9ejWFofyK+EOvv+JDab2NbM6uoqKh0hSoYqqDrlwuA6xcCw8GGY3UZchQyBllJ6289oNcef3ouM65QLB+3Pfo1dd9v6dHz5547CQDvsrUx3zwZRw5GslmJtHjwbOl609s6bCSCTkfA1YCntjiu+SUPnIjWlEgg4KSqanlcY9vwehvYuOlt1r9zP5FQ/NaFkYAPAE0PiViWISPIv+Zm8qaeudfjRLF7WTA6nYWclmxESYPObMOUkgOyjK94G/rsXJBlvMvWYRiiWJQ2LS3GOkix1dm5dO+2sfZspeMx6Gjp8LhtrPI5D2wr6dacQRGePD+vBMBUGF8+XFeIOj0Zs+coVb4OF85531B58z+of/J1fJu273VTI/HEw9vtSbc/9f0e7ZX1aUqlbri2c3tLw6B+aHMziPp9VLzydJ8VDRPHTqLgxr+QM+mUmI6PBH1EWz9XBr1tP85sz1gsWUiijkjAi68p9r81bd2IvpKdMVuMWoePAcC7ZnPctqSCILRbuFV9tIZoOBLXeJV9x5RtAyBc39RnNzNVVFR6Hm2CkeH3nkbh748AUaBl8Rpq7n1K3TjsAbRpyWTccQ2WIyeBLNO04Csq//cC4V8JJSqdI5mUe+tI0NfLM+k+Qa8LkNFpLUyZdBNZWRP7ZAdvfcMmli57jNq6tdAafxH0uqhe+41yQKsDiWDQgwzJ0/qDDLVfKbEkp941gvQByl6As6bzn1fI62z/f1HcvWM01OTFOl5Z23/+z81UbXKSP07pwqypirJl8y63F0mC4Sdko7d2dKRJyTdz4p+Hceu3R3PmA6OxZRvxVzvZ8MfXaV5Z2uFY68B0Bt5wNFPe+T1D/3oS1kHpRLxBRTx58DkCO8pieu8EjQbjsAEkXXgq2Q//hYy7riPh5CORkm1EfT4ci3+g5PF/UP7KM7jXr477HllFZX+gz8gm78o/kHrCbAS9jkBRCVV3/gfHh18hB1Vb3a4QjQbSbroM06RRyOEoWx6cT9k7y9Q1lIqKyj6jCoYq6AcoQoKvopmQ8+BcCDlWKzfShVNSeuX6x/1xMBPPzkOWYetD82ls7XbsCawD05UMuqiM64ufYhojaCQsh08EwLHs5y6PF/UGrCOU7K+GrUvjmp+o0ZI55hg0BjOiFF/2YBt19RsBsKQXImn1cY8fevrN9L/9fgx5/bp1/f2B01mGLEeJRiOUlC4gHO68M1CWZZIHTADAtXo5Ca3dnt6la9vz1BoWbSdpkiIebl/UQCS052pTQ4LyMwi7Ol4vYVgWAIHtZd2+gQwUlRCqqEXQaUkYPbFb59gblqEjKLz5LjLOvghjfiFEo3hXbKDuny/S8NQbyHsRbxJmHYFx9BDkUIRN931K2Lt7V0LiCOU9CJZXE/XtLkwLGon0W65Am5VG2OXs06JhPATdih2pVmtG6uZndF8RRQmbrQAAd/X2mMcZ7RloDBbkUBBfeUlMYwy5+UgWK7LPj39T/N/F5qljERMs+Guc1HyxMe7xKvuGIUPpAJb9AaIeby/PRkVF5UAiCAK5Z09g9L/PQZdkJlRZS829T+BZpObK7iuCTkvypWeQfOXZCDot3h1bKXvmEXzlpV0PPsTRt+ZWtzSU9/JMuo8cVjbetVoTWq2xl2ezO4GAm42b3mH9htcJhjwYbOkMnnU9WlMC2796AWQZ0WSGcBjRYkL2B9BnJBCo9+BYXYbOKHHB4xMYd1pu+zmrt3TsLPz1OnHMqMvJzJjQ+q+O4mnz6jLsE/KJhKK8ddMqDruwgLyxdnw+mWAA0gdaOeGWodzy7dGc/Q+lo7EztAaJsbNzuOataeSNteN3h9nw1w+o+nTtbsdKei1pRw1l7BPn0/+aIxENGgLbSqm572nqn36TUN3ei0Z/iSAI6AtzsZ91Atn/upXUP16KcfQQEAR8xduofu9/7Hz4Xuq//OQ3sdZRObgRRBH71CMouO42zIOGQSSC8+PvqLrrcfxb4ytmPxQRtBpSrj4X6/HTASh+4Sd2PPU9ckR1ElBRUek+qmCogmQxo8lQrO0O1i7D5lbBsH8vCYaCIHDKnSMYPSuLaFhmy70ft8+pJ8ido4gzLYtXEXHFVg1sOWKSsigo2RGT/Uji+MkAuBuLkaPxddUkD5rEiHPuwDx9Wlzj2qhvUDbl7f1GdWu8IAhIRhNiDLl3PcG6t+9l3Vv34PV1vnDzehtYufpZFi/5N1uX/ZedxV+xcdPbRH/xvkajYcqXzGPDew+SkDMUXWo6lqGjsAwZCYJAYHsZuux0EAW8JY1oLHq0NhOBljBrPqnc49yMrYJhyNNRELMOSEPQSkTdLYTrm7r1ut3fLQEgYeR4JOP+2WwQNBoSRo4l94rryb/uFhInTgWNhHfFBhpfem+P1jyCKJJ85dlISYn4KprZ9p9vdhNG9SlWDBkJEJX3WK0rJVpJv+3K35RoqDFayZ50Mnm5XWcA7k9sNkX0dlfFLhgKgkhCtmLb6925LbYxoohlqGIV7V0Zv+An6nUknnwkAKWvLyYaVCuwDySiToMuRekW7+53lYqKysGNbVQO45+9CNuYXKL+EI3Pv0Pjqx8SVbsN9hnLtPFk3HkdmowUwi4H5a88iXN19xxCDhX0GUrBWTwOCX2NaFgppBOlvpdjF4mEWLLqP+1dhemjZjJ41nXUb1lM2c/vI0ciaJNTiHpbEHQaoh4vgiRiG5WDp6gWY4KW3712GEOOTO9w3urNzg7/1qV0tPKPyhHS0kYAdMxMEwTCTh+RQAR9egLNFV4+umcDFzw+npNuG8a1707n+g9nMP3SQqwpsWVdm5P0XP7SZEafnE00IrPtsW/Y/syCTjf0BUkk58zxTHr1cjKOHw4CeJeto/qvD9P01qdE4iymEkQR05ghpP3pUrL/dSuJpx6FZEsg0uKh+efvKfnPg1S8+gzuDWuQI6qzhkrvobXZybrgCjLnXIJksRKuqaf2weeUv/8tB2djw4FCEEWSzjsZ+7mzAKict5pN93+qrmNVVFS6jSoYqgCgH6BUTro2VfXyTOLHV+3EX+1E1AgUTOi90HZRFDjj/tEMPSqdcDDK1nvm4q3omc3OhOFZWAelI4ciuBfE1gGoSbZhHKXY+TlXdj3GkJNP9sW/p+DGvyDEabUpSpr2zkBnfz0+X+xWcn6/A7e7AhCw5Y+I67ptuPN71lLHvXEtxY/eT8mPb+/2nCzLhLwuQl4Xkth5t1Z1jWLbaSWBAvNoRFFLY1MR27Z/1v6+iKKGluKtBN2NtNSVMPLUW0k+8li0NjvGAsUGx7ehCP1gpRq2aclOcs5Sug8///cmXHWddyy2CYZhd8fnRZ0GywAlIzGwPX4xO+J0412h2NsmTuqeMBwv+vQs0k85i6xzLgVJpGXxGpr++9Eef7cki5mUq88DUaDu282dZtAlDFcyW/dmzdqXRcOwx832v99B2XOPxZw/pDMnkjFyJvl5h+/n2e0du135vXbX7IyrKCFlyFQyzjwfWxy/d5ZhSvGBd9XGbuU0WY+cjJSUSLDBQ9XHu1eBq+xfjJlKl2G4ThUMVVQOVXRJZkY9dBb5F00BATwLllFz39OEajq3FVeJHV1uBpl3X684WYQj1M59i7rP56liwR7Qp2UAEHA3Eg0fnKJ1NKLMW+rEgrM3CIWUzX9nfz2eQRZSBk7EnJrPkJNvIGfiyQiihMdRBoJAwrgphJpaizRb1wDpxw+n7utNAJx2z0iyhnXMJ3dU+2go7RjPoEmwtf9/etoY9DortsQCdDorelvargNlGUEr4VpfgX18PpJGYNM3Naz7rIqpF/Uja1hit+xcNTqJsx4czdHXK5nplR+sZMPdH3XqigJKoePgP5/A+Gcvwj4+Hzkcxf3lQmr+8hDOz39EDsUvBGhS7NjOOI7sh28j9caLMIwaDIKAd+c2qt/9L8X/+TvNi34g4u98namisr8RBAHr8NEU3HAbieOnAMrf/6o7HqFl+XrVarMLEk6YQcrV5yFoJRp+2sa6294n7FE/zyoqKvGjCoYqwC8Ew4Oww9CxWrHSyRlpQ2/q3UWQpBU5519jyR9nJ+AJs/FvHxPxdb4IiAdBEMg+UxGLPN8uiTlzwHKE0pnoWrO8yzGCIGAeMBhB6l4uXxuuyiKWrnyc4pJvYzq+rbvQkt4PrTH+/MmAu4mqt1+h/ouP4x67J6LBAKHmJkI+9+7PhQLti1WNZvcuO1mOUl2jWGdlG4eSqE1jdMLRgEBl1RIqKhe3H5uaqgikzcUdBQnrSMUetmXpWky/sCXNPXsC1kHp+F1hPr5vQ6c3zMbEzgVDgIShmQAEtsdvP+X5cQVEIhhyCzBkZsc9fl+wDBlO5hkXgCDgWbAUxzvz97hYMAwqwHbGcQBsf/I7GhZ3tKRMHN5mzbr396CviobB+lqifh9RV0vHauiDAKslE43GQDTkx9u45y7Z3cZlFJIwegIaa0LMY0wF/RGNRqLuFgJFJXHPVdBpSZx9NABlby3d42aOyv7BkGkD1A5DFZVDHUESKbhkGiP/cSZam5FQeTW19z5Oy7J1vT21gx7RaCD1hgvb/9Y5Fv9I5esvEPG2dDHy0EOyWLFPPYK0WWcgywenxZspJYf8GXPI7WW3iWDQw7bt81m45B9UWnYVKmdNOInBp9yAOS0fd76Ad6CRzHMvJXnm8bg3rFQsSS0m5FCEhBHZNC8vQZZh3Ok5DD82c7frfP/sNn79o/KV7mz//7zcGews/potW+dy2OSbGX76LVgzf5HPLij32DVfbCB91mgAvvj3ZirWO/bp9QuCwMyrBzLnX2PR6ESaluxk9Y1v4tqy5z0YS/80Rj10FiMfPBNzvxTCngCOd+ZT9ddHaFm2rlsCiiBJmMYNJ/2my5Suw1OOQrSaCTuaqf/iI3Y+eg/1X3xMyNG8Ly9XRaXbSEYT6bPPIeeya9EmpxJxuGl46g3qH/8v4SZn1yc4hDFPGU3aTZcjmfU411ey9uZ3CTarMQ8qKirxcXDtNqrsN/T98wFFMDzYvK7b7Ugn944d6a/R6iXOfXgclhQ93pJGtj78VY9UQqUePghdspmI003LsvUxjTGOGoKUaCXS4sFTtCnma7lyokSC3bN98DvriIaDlJR+R1n5wr0eG42GqapSbJBsBSO7db2gpxnPpvV4tvZc1pjQukikk59b2/siCBJiJ1W6TU3bCAZdaAU9afoCANINhQy2KhVy27Z/RkPDFgDS0pTX7KrcSiTow7wjiHvDGjSJdpBEQmXVaLMUex3nhkrCngCD/3wCkkZgy/e1rJu/e0dwe4dhJ5VkbTmGwT3Yce4JORrF/b1iR2qbODWusT2FdeRY0mefA4Dri59wfrRnQTrhpCMwjBxENBBm453z2PTAp+03yQkjWjsMd5R1WUnfqWgYg73v/qTt+obEtC6O3EVLfRnehgoikd4VvQRBxJaodMzGk2MIYC2N7ztUkCQsQxRB3rty907TWLBMG48mPYWQ00flh6u6dQ6V7mFo6zCsjz2vR0VF5bdL0vgCxj97MYkjs4l4gzQ8/SaN/52nWpTuI4IoYjv9WFKuu6A117CIsucfI1BX09tT61MIgkDqCbOxTZrWraz1voDemkzKoEmkpgztleuHQj527PyKRcv+TXnFQuRIiOaduwomBUGgYtknlFb8ACiOLt5tW2j8/kvkYAhNahJRjxfJokdr1ROod5OcZ2LW7cN3u1ZDiYfV8yp2PdBaYOcrVu49RUFDNBqisWkrzY6dSK02rRljjiZp5vHos3KQgyFEixmiMvU/FZE0uZBIWObtm1fhde77/fTIE7O44pUpWJKV/YI1N77J9qe/32uhcdLEAsY/exGDbzkeXbKFcH0TDU+/Se0DzxLY2f18TU2KHduZx5H98F9IuvQMNJmpyL4AzYsWUPzYA1S/9z/8lQdvfqfKwY2p3wDyr72FpCOOBUnEt3ozVX99BPd3S7rlInOoYBjan7Tbfo/WZsKzo541N72Nv87V9UAVFRWVVlTBUAUAbXYagkFP1B+ipfjgsfqRZRnHauUGtnBKci/PZhfWVAPnPTIOUSNQv2Brj2w2i1qJrNlK55n7y4UxiZCCRsI8XelMdK5cEtN12uw4K5Z/1q15pg2bTtb4EwHYvmM+lVV7y0URiBokEETs3RQMw36lEloymbs1vvNpKTYznVURh1sFQ63G2KkdTZsdaaZxEKKwq1uzwDSGHOMwQGbjprdxu6uwmNMxmVKRoxEcpRupWvUF1e/+F9eqpZgLFTvZwLYStDkZEJVpWlaMuV8KuRceBsCnf9+Ip6FjVmFbh2HI3fFxgIRhSgVusLyaaCD2xa5v7RYiTU5EkxnL8NExj+tpEsdNJvWk0wBwzvsG1+c/dnqcIIqk3nARCScdAaJA/fdbWX75K9R+vQlzfjKSWY/sDxIs77qj+teiYcmT/6TyzZfwbN7QK9ZdbYKh0Ra7YFi2eC6bP3qUpqbYMgD3J7m50+h/9KWkDJ4S17iAu4mmhd/RvPSnmMdYhrbakq7c2L3qa42E7fRjACh/dzkhl5qdcaBosyQNqR2GKioqrehTLIz+9znknjcJAM93S6i59ymClbW9PLODH/PEkWTceS1Sip1QUyNlLz6GZ3P3im1UVH5JJBKkpPQHFi3/N6VlC4iGg5hSchlw3O/ImTIbAF9zDVs+eZy6DT/Q8PWnBBsbqPvsQ+q//BhkGcPoIe2OAxnHDaNx8U5ESeCsf4xh5QflfHDHWoK+Xffk3z5ZRDQiY8yxKw/8SlT4ZfRGNKo48CTuCGBKyiI7bSJZcy5FNBmIeloQLSZCTV6igRCGzEQcVT7+e/VyfK59L1bIHW3nhrkzGH1yNnIUKj9cxfLfvUbTsuI9jhEkkYwTRjDp1cvJv+gwRL2GwPZSau59iobn3ibc6Oj2fESdFuuRk8h64E+k/elSDMMGQDSKe/1qyp57lIr/Po+vbM9zU1HZX4haLSlHn0j+1TdjyMlH9gdo+u88av/xPKHq3ncA6qvo8rJI/cs1SEmJ+MqbWfPHt/FWqF3DKioqsaEKhiqAssGu758LHFw5hi3FDYQcXrRGidzR9t6eTgfyxyVx4p+VKs7i53/Asa6iixFdkzVrJKJOQ7C0MmabPcuMCQB4t28l5Oz6BkEymgi7nDTuXNntLsOM0UeTPnImAFuL5lFbu6uCNBBwEYmEcPbX4x5oIn/6OfQ/6mJ0lu79/MJ+jzJvs6Vb4zulTQjsrMMwoLwnGs3uIfehkJf6hs0A5BiH/OqUAsMSZpCsy0FGJhBU7E7TUhWhtLlkLUn9FXG3ZcsGzIMVK9KWpeswjlV+jxoWKZWxuedOwtI/FZ8zxCd/77ih09ZhGPWHiIY6ClqGtAR0KRaIygSLY/99dH+riM2J4yYhajvPbTxQ2KccTvLRiiDd/M583N93ns8p6rTYzzmRjLuuQ5ubSdjtZ8tDn7P+/+aiT1V+VwJbY1v0tomG+qGFEI3SsmUjVW+9zM6H76X+q08I1h+4zcq2axniEAyDHuVzbzDY9seU4sJuK8RWMBKN3hTXOF9TFQ1ffYpjceyCoan/IASdnkiTM+6u2vZzTBqFNieDiDdI+bsrunUOlfgxqBmGKioqnSBIIoVXzGi1KDURqqih9t4ncP+wTM012kd0uZlk3n09+iGFyP4gVW+9TNNP36nvayvRUBBfRSmuyq29PZVu4XPU4izfjNd7YAuDV695kZ3FXxIJ+jDYMuh/zGUMOfUPJOYOBWRqN/zA5o8fxdtQgWg0kn76edR/Pg/nsp9BEDBPHUtgk1LwlnrUEBq+VFx2Zl47EJ8zxPyHNrH6owoWvqrYjVZtdrL+i2oEAfSpv4i6aBUJU4dNw2xOZ+XqZ4Fd2Y7lFYtY++Y9VK3+Cq09ibRZiqtJ1ONF0Eo41pSTPLkQY6KWivUOXvnd0h7pNDQn6Tn7H2O4+NmJ2LKMBGpdrP/rh2z+x3xCzj1bCEpGLQWXTGXSa5eTfpzSZdmyeA3Vt/+b5g++JOrbvXA0VgRRxDh6COm3/o7Me2/EPHUsiCLe7Vsof/EJyl95Gm/xdvW7QeWAo0/PJPd3N5B60mkIeh2BohKq7vwPzk++Rw6rGbydoc1IJeOOa9BkpBCoc7PmT2/j2amKrCoqKl2jCoYq7egHKLakzoNIMHSsUboLC8YlodH2vV/nKecXMHpWFtGIzI4H5uGv3TcbAG2iifRjFPHI9WVsG+fajBT0g/uBLONatazL4439BqBLy0AOBmnY2vXxnSEIAtkTZ5Ey5DBAZuOWd9m+43M2b/mAxSsepahlUfux5tS8btuRwi86DM0912EotHcY7tmStLP8wtq6dchyBKsmmQRt6m7Pi4LEGNvxTLGfTkqy0kGY1ppj6KrYis5iw5iUhRyJEA2HELQawjX1aDOUczUtLyHiDyFqJAb/+QREjcDGr2pY/8Wuz6yk2/U52JstaWB7bAKKf/MO/BuKQBBInNA7dqS/JunwY7BPPwqApv/Ow7duz5s3+oIcMu++HtuZxyNoJZqXl+AtUWwOWxatJtwc22dSSrSScdtVZP39JhJOOBwxwULE46Z54feUPPEQVW+9Qti9/20+4rUkjUbChFuzOPV62/6aVlwk7oh/E8OaOQBEkVBTA8Gm2GwqRa0Wy1Dl8+VZtDrua0KrXduZSiZm5dxVBJvVbKcDgbE1wzDS5Iw5s1dFReXQIWlCARNeuBj7+HyigTBNr3xIw7Nv79MmuQpIVjPpt1yB9WjFyaLh60+p++S9XnFU6Gv4K8oof/4/lP703kEplDRtW8H2r15k46Z3cLr2n71kMOgmFFKELmd/PfbRU9FZkyg44nyGnX4ztvwRCIJAJOhn+1cvUbH0Y+RwGNOAIeT//iacS36ipWgTglaD9agptCxajRyKkHRYIYFaF4GWMPnj7My4rD8f3rkry3Txy9vwuUJ893SruDhzCP6aXTlngkaJkbCkF2LQJ7Y/HokqgqHFnA5yFEfJejRra2le+O0u95pWx5jKj9eQf+2xmOw6qjY5efXKpR06G/eFQdPTuGHe4Uy9uB+CCHXfbGbtlS/hq3LsdZw+xcqQW09g3NMXkjgqh2gwjOuT76m87V/4t+7c69hY0OVlkXLVHLL+cTOWIyaBJOEr3k7FK09T+dpzfSLfXeXQQhBF7FMOp+C6WzENGALhMI4PvqT6nicIxFEQfSihSbaRcfvv0eZmEmr2svamdw6qPV8VFZXeoe8pLCq9hn5gq2C4vrKXZxI7La3VMblj+lZ3YRuCIDD7b6PIGJyApzHAhjvmEm7Zt82M7DOVLjTfqk0EK2LLGLEcodg3OVYs7nLRLwgCtikzAKjd+CPRSPc2awVBIG/qGUrXnCxTVv4T1TUriYYCuKu2dWr32R1CbR2GPWhJKhoUMbBNjOzwnFaHMTmbhITc3Z5LSR7CxPHXM85+0h7PrRX1JGh35W2azekkJOSRNlx5z5MHTgTAtWoZ5sGK2OHbUKRkd/hD1HypZDVaBqSRe95kAD66dz2Oah/RqMzc1sWzOUmHxrp7F6QhXam2jXq6Fj5alqyl9uGXlesNH40uqW/Y/gqCQMqxs0gYMxFkGc9Pe+/8EjQSiafMJPVPl3V4PFhaRe2dD+P5eVXMmz/arDTs555EziO3k3rDRRhHDwFBwLN5PSVP/QPXmhX7bSMp4vcTdrR2C9rSYxrT1l0oilq02vi6+vYXTmcpVau+xFUVu0WqpDNgTs0DwFcc+7iEUeMA8K7ovoWsccxQdP1yiAbCVM5b061zqMSH1m5C1GlAlmMW9VVUVA4tdHYzIx88k35XzkCQRLxL11J9z5OqRek+Imgkki6ajf2CU0AQcK5YQuXrLxLx716Ediihz8xG0OkJtjTTvLN7RUi9iTFJiSVweypZueoZVqx8hpratUSj+yZ4RSJBGhuL2LZ9PsuWP87CRQ9SHFqHs7+S9Zg8cALDz7yN5AHjEVqzBOVohKLPn8VVsQVBqyPtlLPIvuhKHMt+xl9Zhmg2kXzlObT8rMRaZM0eQ8ZxI3BtrEJrlDjrwTGEfJH2WAZRBJ9Pxl3vZ8diZW8g+/RxHQXD1mJQjd7UnlkItP+/zdYPvT6RSNCHs2wjoeZGIt4WNLYk5GAQbVaakmf4YxHD/nUe5iQdVZtcfPpAz1n36k0aTrp1GL9/YxqphRZamoJs/dcXRINdr8Wtg9IZ/fA5DP/bqRiz7URdHur++SLu72KLJOkKbVoyyZedQfY//6wUFGg0eHcWUfr0v2j68Vu1qEDlgKO1JZF90ZVknHm+Yh1cXkPNvU/R/PZ8Nd+4E6REK+l/uRL9gDzCngDrbn2PppUlvT0tFRWVPowqGKq0ox+QD6KgVO81enp7OjHRthBIyu0bG+GdoTNKXPjkBKypelpKGth036fIke6LZeb8ZFIOHwSA8+PvYhszaSRSopWI24V749ouj08YMxHJmkCoxUHTju7nLwqCSMHhc8idchppI44gedAkBp10LYNOugZB6JmvnzZLUo2p5yxJtcmpaBIS0Vlsuz2XkDWIYafdxKCBJ+/2nMFgw2rNwihZd3vu12g2l9HQsAWHs5jxY68iZ9IpaPQmUgZNVDYk6mow5hUC4F22rj2LsuK9Fe2/P3kXTME6JBO/K8z7t6/hu6eK2PBlNZJGYMAdpyFqpN2uG/EpN9CCQb/X+XnXbKHh2bcgHMEybBQZp5/b5Ws6kAiCQMJYRVwNbCuJSaTzrlAW9YmjcpjwwiVYBqUT9gRofOFd6h//LxGHO/brayRM44eT9qdLybz3D+gKsol6/dR8+CZVb7xEyOXo1uvaG9GAD/Pg4ZhT89AYYhPIgx7F0tFosHeaudkb1NVvoHr1VzhLN8Y1zpo5AABv8faYx5gKByEaTURdHvwxWtD+GkEQlDxMoOrjNe2fIZX9hyAI7dbBkSZH705GRUWlzyKIAnlzJjH6kXPQpVgI19RTe98TeBau7O2pHfQkHDuN1BsvQtBp8e7YSvlLTxByHLrZR5LBSNIMxd2iYvlnRMMH171AUv9xDJ39J5IHTkAQJVzucjZtfodFS/5FdbXyeXG5K/F6G4lEdn9tvyz0jERC7Nj5JavWvMCPP9/H2vWvUl6xEE+LUsgacO+yPRVECVHSdDiXIEpYJk9EMlvIvfxabBOn0rJ1I82LFihzvex0XPN/IOoPYxubR/+rj6T0NcWdZuqFBdizTRgTtSRmKIWR0SiIGoFIOErIH0UyapV7NRkEvSIIyijrBHf19vZYCACrNVuZkyCSlzMdgPoti0kuVCI9JJOyx9BWvNS4aDuCKND/r7MRRFg1r4KVH/Zsx2bOSBsXPjkBnUnCub6SLQ99jhztep0jCAIp0wcy/rmLSD1yMHIkStN/59H42twec2vQJNtIumg2WX//E4bhA5BDYRq++YzSZx/BV1HaI9dQUYkVQRBIGD2BgmtvwzpqnOKo9cWPVN/5H/wxxvccSkhmE2l//h2GEQOJ+sNs+L95NC7Z905kFRWV3yaqYKjSjmjQo81SulbcW2LrXOttfNWtgmH27vaQfQlbppELn5yI1ijRvKKEHc//uE/ny79wCgDe5etiqqQWNBosM5VuNMeSrq1MRY0G+2GHA1C77vt96gYURIm04TPInXwqBTPmYM3s32NiIUAkoNje9GSGoS4pmcJb7ibjqqt67Jy/pqRlDes2/Jfiku8QBLHdplHSGUkdqHSEthRtxNhvIESiRJxuRKsZf42TsneUiltRIzH0ryehM0mUrGhiwXOKkDLgj8dhG717ByRAxKvkbYhdCIYtS9YAYB09nsxzLkbU6vZ6fG9gyMkDSSLicBOu33vWWbihmZYfFYvdgkumYu6XwtjHz6PgsmkIGhHf6s3U3PkwLYvXxN0hqMvNIOPOa7GddTxoJFqKNlHy1D9xru7ZTCVtop3sC65gyKl/iHlMwN2WX9h3urAtFqXK3dsYXzd7m2DoK9kR8/sqSBKWYYrlsXfZui6O3jOm8cPRpCUTdvup+bLnqslV9owuRSm8iDSpHYYqKip7J3F4NuOfvUixKPWHaXzxPRpeeJeoX7Uo3RdMY4eR/tffIyVaCdZWU/b8Y/ir9p+dZV/HPvUINIk2Qi0Oajf80NvTiRtTSg4Fh5/HyHPvJHPc8WiMVoJBF940CWd/PWs2vsaSZQ/zw0938+PCe1m67DGWrXiSnxbez+rSd3H217dn0JdVLMThKEaORtCZ7SQPmkS/mRcy6vx7yJt6ZqfXjwR9uPMF3PkCtsnTKbjhNgzZebjXr6bqnVcBsBw1hWBJJcGSSjRWA0NuO4H6H4toKWnAkKBh+qX928+XNWyXtWhyronaIkUINBem4mq12xONrW4rUWUtW7P2W5zOkvZxCa2CIUBW1kS0WhNBdyNas3LuQFUFmkQ7ss+PNicdZNj2xHfYRuaQf8k0AD55YAPVW3r2XiU5z8z5j41H0gjU/1DEjqe/j/neVzJoGXrHLPpdPh0E8Hy/lNp/vUTE1XMF4dq0ZNJuuYLkK89GtJgI1lZT/sLj1M2fSzRwaHcjqxx4NBYrmWddSNYFVyBZEwjXNlD74HM0vf6xeh/wK0S9jrQ/XIJp/HDkUISNf/uIhp9jL8ZVUVE5dFAFQ5UO6AsVkcG1pbqXZ9I10XCEQL2yMLDn9N0Owzayhydy9j/GAFA1d+U+hQ1bClNJmT4AZHB+EluXoXXmZJAk/BWlMVUAJk6Yimgw4HfW4akt6fZc9zcDjr+K/rc/gGXYqAN6XWd//W4Lt2ZHMSWlC2gIdJ0PmGkcCAg4HDvx+RSxy1Ozkx3fvKrYkgoCcjjcLty2LFxJ4uyjASh59ef2hbAxy0a/649tP2/OORPIOGHEHq+7q8Nw7wJgcIfyGhJGT2i3ENrf+MqKafjuCxzLfsa9aR2+smKCTY1Eg8FOjxe1OgxZyndWoIvuMSUMPYptbF67mCpqJPIvmMK4py/EMiCNsNtPw3Nv0/DUm0QDnV9zTwiSROLJM8m850Z0/XKQfX5q575N5esvEHI64jpXT9LWYWgw2HptDr/GalFyNL1NlXEVI1jS8hEkibDLSaipoesBbdcbMVa53j7YkgqiSMLxSuV5xfsr96lLXCU2DKmKYBhWOwxVVFRiQGczMfLBMym4bBqIAi0/r1IsSsv7/pqmL6MvyCHjruvQ5mQQ8bgpf/lJPFsOzcIZUasj5dhZAFSv/5aQ9+AsaNEarWSNPY6Rc/6PfkdeQFLhOORoFElnQJC0AITDflq8dXg8VYTCXoItjvbxgiCSMfoo8qaeyfCz/sKIOXdQMGMOSYVj0Rp3L+CMBP2ULnyPDR//m4jf1/64ZDLjWLGY6vdfh0gU05TRmMaPwPXZAgAG/elYBI3EjmeVf0+/tD/GRG37+KzhuwTDlH6WdtHOMiAN50alKE1uNddIP/Vssi68Unmsdf2WZB9IQf7MXfORdOTmKCKgs2R9e6GaLlUpqI54vIgGLY7VZZS+voS88yaTNKkf4UCUt29aid/ds12nA6amcubfxwBQOW815W8ti3msIAjknT+Z4feehmTSEdharHwflvVcbpkgCFimjSfr7zdhnjoWZBnHkp8oeeKfeLbE5yKiotITWAYPp+D620gYNxlkGfc3i6i+8z/4NqmC2C8RtBpSrjkf06RRyOEom+79hPofi3p7WioqKn0MVTBU6YCuVTA8GDoMA3VuiMpo9CKWlL13S/UVhh2dwYjjM5GjxFUp2Bl5F7R2GS5dS6iqrsvjpUQr5smKqBZLl6FkMJB+ytnkXX0T1ozCbs9zfyMIApLRiKjbPx1wnf2Mtnz6BKv/+1c8no6bUM3N29lZ/BV1ga4FWaNkJVmnVLVW16xClqNUfP8ejtL1OMs2MeLs28m9/DrMg4ehz8xGDoaIeFowTR4NUZnNf59P2KNUzKUfO4z+182k4PLpFF4xY6/Xjfi67jCMOFs79gQBQ05+l6+lO8jhMK51q4h4d2Up+kp20LTgK+o+/YDqt1+l/MUnKHnsAbY/cDuN33/Z6XmM+crv5t5sR0J1jbQsVHIOCy6ZutvzlsJUxj55PvmXTFVykFasp/ahF4i4u855/DW67HQy/u8abOecqOR7bNtCydMP4S3Zd7uPiLcl7u8MW95wsiedTGrK8H2+fk9hMqUiChqioQBB9947Q3+JqNFhTslH0GgI1nf9ndd+vYL+SCYzUY8X/+bu/xzM08e3d/k2LIw9R1Gle+jT2joMnV0cqaKioqIgiAL5F0xh9MOtFqXV9dTe9xTuBUv3W77woYAm2UbGHVdjGDEQORii6q1XcCxf1NvT6hWsI8dhyMlDDgapXPl5b09nnxAlDUn9xyFqtAiiyIizb2fsJQ8y5qL7GXbmrQw84ff0P/YKhp5+M4NO6Oi6kjXuBFKHTsWQmLpXy3t39XY2zX2Yhq1LCDsdtBRtbn+u6afvqPv4PZBlLDMnk3TBqTS+9B7IkHHiCFJmDKToka8INXtJG2Bh2iX9Opw7+xcdhqmFFqo2KfcLlv5puDYqwpjsU7rd9Jk56JLbMuSV74Jw2NchzxAgM2MCCALepirs/ZWCM39VOZLZQtThxnSYko1d+vpiHKvLGHLbiejTrDSWeZl717oe/54ZdVIWJ902DIDilxdS80V8Yn3KYf0Z+8T5GLNtRBod1P79aVqWdB1PEg9SgoWUq+aQdssVaFKTCLscVL35ElXvvEbYfXCK6ioHL5LRSMZpc8i++PdoEu2E65uo++eLNL76IVGf2v3ahqCRSPn9HExTxiBHomy6/1Pqvt/S29NSUVHpQ6iCoUoH9IU5ALi31sTkld+b+FvtSO3Zpj6TzRULx980BI1exLGmnIaF3a92sg5MJ/mw/kqX4affxzbmOKVq0r1xbUw38NaRYzFk5eDOP3je356ieclP7Pz3vVSu+Gy356KhINFQoEMGhkLb+xTbZyfbOBRQBEOgvcq1dsMPaPRK16wgCNinK5kpnm+XYD9vFlKKHX+Nk22Pf4MsywiCQM7p48g/fzKCtPev9TZL0r1lGAZauwt1qelIBkNMryVWQo5mGr6Zz86H76Xm/ddxrVGEPGupjE3KJmXIYdjyR2BOy0dnTVIqnWWZxu+/JFC3eyFDm2AY2Itg6Pz4O+RIFPuEAhJHZHd6jKiRKLjoMEY/cg4aq4HgznJqHniGUBdWp50hSBKJJx1B1r03oivMRfYFqP/yo33aRJBlmeLHHmDnQ3cRcDXGPM6clk/GyJkkJQ3o9rV7GlGUMJuVau14bUn7HXk+/f/6dyxDYhdAFVtSpVhiX2xJRb0O61FKoUbp60vULsP9jD5F6VIIq4KhiopKnNhG5jDhuYtImtSPaDBM06tzaXj2bXWzcB8QjQbS/ngpliMmgSxT98n7NP7w9SEnxAqCQOoJs9EkJKId0XfurXoKQRCQdEaMtnQSsgdhyxuGKSkLSRdf/Ec0HKRs8VyK5j9D0NOExpZEzmXXkjBqHLIs0/D1ZzR8/SkACbOOxH7RbJr+9xGRJifGbBsDrp1JzefraVy0A0krcvY/xqLVd8xm/6UlaUo/c3uHoWTSEvEGEfQ6ZL+y7tEm2rFUK2skWZZJTRmG3b77z0+vtzJqxMWMOu9vpAyciNaUQNTbgqlwEACB7aWYj5gIMmx+cD7RcIRhd52CpBHY+HUN8/+xiWgP76FMvagfM65QrFi3PfoVjUt2xDXenJ/M2CcvaLdsbnj2LZre+hQ53D3XjT1hHDGQzPv/qOR+iyKejWspefZfeDYfmh3JKr2LecBgCq7/M4mTlP0vz4JlVN3xKL6NatFnG4IkkXLVOZinjVMK0h+cT+03m3p7WioqKn0EVTBU6YA2Ox1Bp9xke8vj3yg/kPhr2gTDvp1f+Gvs2SamX6aIHDufW0A02P0Q8vyLDgOUvLlQbdcWffqCHPQD8iESibsyONyaFdiXiIQCbF30KrUfv4sc7fnN+7DLQcC5u3Ws1pQAQPBXgmGbcB2rzWK6oR8aQUcg4KC5eSdpaSMxmVKJBH3Ub16EtVQm7HEjmS1o7UlE3S14V2wg9epzQRSo+24LtV/Hd1MX8St2OXvrMAxsVwRDQ27PdRcGG+upeuc1ih+9n6YfvyHS4kFrSsDo0mAtVRbWiTlDyJ92Fv2PuYwhp9zIyHPuYOwlD5Ix+mgyz70UfVrGbuc15vUDQSBc20DE8WsBF0I1DbQsahVkL929u/DXJA7PZux/zkWfZiVc00Dt/c8QLI1P1GpDm5VG2h8vAY2GQGU5vtK926bujbDTQdTvJ+LzteeqHMxYrN3LMdRZ7IgaTdzXs44Yo1xv5cZ92iCxHjsNjUVPS3EDtd9u7nqASrdp7zBsVgVDFRWV+NEmmhhx/+kUXnm44h6wdC3Vdz9BoLiit6d20CJoJJIuPZ3EU5RCtsZvP6f+83n75R68L2PM60e/P95BwpgJvT2VPomntphNcx+mftNCABInTKHgulsw9RuAHI1S9+kHNP30LQC2s0/AfvYJeL5djHfZOgRJZMjtswg2tVDyjBK7ceyNg8gckrDbdSzJelL6mVv/34DfHUbQSgSblDWrNkdZN4hGEw3fzqd+88/KQFlm5IgL6V94XKfzT0kejEZvRBAlciadSvZFV5F60mkIBh2h8hqMIwejzc0g5PCy+YHPsA5Mp/8flHiIxW+UMPfOdUTCPfuZOO6Pgxk7O4doRGbr/R/j3BSftajWamDk388g99xJALi/XEjtv14k4tx97bQviHod9nNOJPPu69HmZhJ1t1D11svUfvQu0aCaJadyYBH1BtJPPpOcy65Fa08m0uSk7l8v0fjfeWq2YSuCKJJ8xVlYDp8AUZktD31OzZeqyK+ioqIKhiq/QpAkdAVKB457a9+2JfW1CYYHQX7hrzn88v4kpBvw17ioeH9lt89jHZRO0qR+EJVxfx2bANjWZehcvohouGuxUpZlaj/9gHVv30NLQ3m357o/CPs8eDavx7V2VY/n7LXZ1vhduwuxbYJhIPDrLs1WwTDGa0iChkzDQACqa1YgCCL5eUcAULfpZzy1xRQ/ch8177+ObYqSZej64id0/XJIPO0YALY/8S2+yuaYX1e4vcNwzxaubR2GxtyCmM+7J+RolPovPqLkyX/i2bgWZBlr5gAKj7qEkXP+j9ShexfxBEEge8JJZJlHdvq8ZDSiaxUS/dtKdnve+dG3EJVJmlJIwpDMmOZsyktm7OPnYy5MJeJ0U/ePZ/Ft6F41opRgwTJNsS9qXrSgW+cACNS2Zlba0hGl2ASzaCSMo3QD3sbKPtcB0JZj6Gvu/t+ZeF6TMb9QsZNq8eLfHF9l9i+RLCYsJykbpSWvLCQS6Nm8GpVd6FPaMgxVwVBFRaV7CKJA7pyJjH50jlIIVNdI7QNP4/r8x0NO5OopBEHAduZx2M8/GVBiDmrmvtXtjOCDFaG1eOlQdGHpiuqqZQRcDWgSEsm+6CrSTz0HUW9ADoep+fBNnMsXgSCQdMnpJM46Euf8H2h+4xNAKe6zDkxj84OfE/RF6DcxiamX7Dka44L/TOCS5yYR8ilrWnNBMu7NSmSEJsWu/NdixbHkJxq3K2tumWjM95D2fqMwDxyCxmzBNk5ZszS/8TFJl56BZNTiXFdByWuLyDxxJENuOxFRElj9UQXv3LyKcLDnPhOCIHDa30YyaEYqIX+UrXe+T0tp7I4jAIIkUvi7GQz/26m7cg3vfqK9ULQn0eVnkXnXdSSceDgIAs6VSyh95hH8lT1/LRWVrjD1G0D+tbfs6jb8bgnVd/5nn9aEvyUEUSTp0jOwzJwMMmz995dUz+++K4+KispvA1UwVNkNfWEeQPvNdl+lzZI06SAUDHUmDcffNASAyrcWE2jofnVf9pmKGNGycDnRFl8XR4Np3HAkewKRFg+eDau7PF4QBKIBv7LIW/tdt+e5Pwj7PQBIZnOPn1ubpAiGAVfDbh2DWuOeOgxbrW6IfRMqx6T8Hvh8zchylPS0Uei0FkJeJwFXIxq9mYjHjaDVIJktRBqacX76PYknz0Q/uB8RX4jND3xGNBTborTNknRPHYZyOEKwtfre0AOCoSCKhJwOiERIyBnCsNNvYdBJ12DvNwpBlLoc/2vCHjfBpo4L5D3ZkgYra2lZugboPLtwb+hTLIx5ZA62MblEfCHqH32Flm7aWSYcPx2Alq0bCTbEnr33SwI1yvexMSk20RMg6GlmxzevsPXjJ7p1zf1JWuoIhp3xZ/offUncY33zf6TkyX/iXLkk5jG/tCXt7s+xjYRjpiIl2wjUe6ic2/V3qEr30KcqgmHU5UEOdb8TX0VFRSVxWBbjn7uYlOkDkcNRmt+ZT92jrxJxeXp7agctCcdNJ/mqOSCKuNeupOrNlw+5DiI5GsW5ejlF858hGj50C4jkaIRI0Ic7X8CdL5By9EkkTjiM/OtuxTxQWeeEXA7KXnwC97pVIImk/H4O1pmTccz9Gse7ShZk3gVTyD13EqVvLsW9pRqDVcOZfx+DKO5ZlE0ttDBwWuqu/MIB6Tg3Ku4VokVxIZLMisW5pN219pHlva+bwsvXs/mjx6hY+km7E0rSkcehTUkj0uzCOe8bbJecCUDZW0tpWlFC+rHDGHrXqUhakU3f1vK/a1cQCvScaChpRc59eBw5o2z4nCE2//lNPDt3d8LpipTpAxn35PmY8pKIOFzU/uNZPD+t6LF5tiFoNdjnnET6rb9DSkok1FhP2YuP0/TTt32ukFHlt4+o1yvdhpdc3Z5tWPvQCzS9/jHRQLC3p9frCKJI0sWnYT36MJCh6NGvqflqY29PS0VFpRdRBUOV3dC15hi64rS6ONAEGpRFfmLGwWVJ2saok7LIG2Mn6Iuw7T/dv3G2j8vHVJBM1B/CvWBpl8cLGkm5EQCafl4Q03WTWjP0HKXr96kjqKcJ+RTBTjJZevzcWlsSgkaDHAnjb67t8JzOYgPA6+soXEmiFoBwNPYNkwRNGtOS5zBh/DUIgogoasjOngxAzbrvSB2qVMI1L/yelGOVam7nvG/xb9lJylVz0FgNuItq2fncD11eq/qzdYpgKApI1s7fs5ala5GDIUSTGV1yasyvow1/dQU1c98iULPLarJg+CwGHH8lA4+/Mi7B69eEvltJyRMP4V6/qsPjGqti0Rlu2NVpGW52Uv/YaxCVSZ42AOvA9Livp7HoGfn3M0idORg5EqXppXcJ1cS/MNdmpWEYPgBkmZbt3QsTb+8wtMcjGCq20kaDvc/lvOp0Foz2jO6JxgEvwboafMXxZcC22ZL6Vm3ap04IQafFdoZiPVX+zvL2rl2VnkWTYEDUKR0cYUfXmbsqKioqe0NrNTDs7lMY+MdjEHUa/OuLqP7b/umuOVSwTB1L6o0XI+i0tGzbTMWrzxLxtvT2tA4YcihIw1ef4K7ezravXiASPPQyMn3NNWz55HG2r3infU2psSaQfurZSEZljR5yOah45RkCVeWIZiNpf7gE85QxeNdsUZxAgH5XzqDfZdMINrZQ+ZZSEHbyHSOwZca2zq/cqAiGxqxEAnVuEIX2Qk7R0CocavUUHn0J/Y+9vP25PSFHo3gbymkuXUckFKT+608pe+5RMs44H0GrfH+Iel17R872J5W89JRpAxj+wBnojBI7ljTw2YM9u+GuM2m46KmJZA1LoKUpyPYnu1fMa8pTcg1TZihFFI2vfIBvQ1GPzrUNw9D+ZN73B0yTRkEkSsPXn1E/f67a5a3SK5j6DyL/uj+TOF7JpXd/s4jqu/6j3gugNArYLzy1XTTc+u8vqfu+e3sXKioqBz+qYKiyG/pBBQB4ihsIe/pupWi0NYtNZ45/w7kvIAgCp941Akkj0Lh4B3XdzMMSBIHcs5UMDdeXC5GDXVe4WmZORjDoCNZW01LU9XX16ZlYho0EWaZ69Vfdmuf+INiiLA41iT2f6SZIUnvAvaO0o4+7Ja0AAKezlGh0V+dLWy6bMxR7F5kgCFi1yR0ey8meijE5m4xRM0kdMhWN0UqoqZGo30fCuEkgyzQ88xaIAvYr5gBQOW81NV9uQI50vvhyrCln2+PKojxx9tGI5t0X4NFAEMf7XwCQNO3ImG1eZVnGu3MbFa89R9kzj+BavRzHsp+xlspYS2X01mQSc4bE/J7siebitUR9XiRjx65iz8Y1ABhHDmp/rOm1eYTrmzBk2Rh449Hdvqao0zD09lnYxuURDYRpfOn9bon7UqLSLSXHYAPcGYFqRYA1JWfHPsatCKgGg71b19zfJO7o3t8Xa0Z/AHylO+O3JTWZFVvSrd3PkwQwHzYWTUYKYbefqo/X7NO5VDpHEAR0ScpnPepUu4BUVFT2HUEQyDp5NGOfPB9jjp1Ik5PafzyL6+uf1Y6XbmIaM4S0P/8O0WzEX1FK+YtPKM4ShwCi3kDWuZci6vV4qnewdf7T7cWMv3VkOUrthh/Y/PGjeBsq8JZsJ+zcPSIh7HJS8cozhBrrkVLsZP7tBoyjBhNxeWh8+X0Ass8YR94cJVuv/J1lhINR8sbaGT0rK6a5RKMyFesdAEgmJXJBk5bS3kEs6Q0AiFoD9oJR2PKGdykY2u2FCKJEqMVJ0NNEy6rVhBrrCTua2mMinPO+wXb2iYhmE76KZuq+UzbW7ePyGXz3aQgCrHi/nJUf9mykh9mu44LHJyBpBJzrKuLOM2xDY9Ix7K5TyDh+OERlmp59g1BV95xQukIym0i55jzsF5wCgGPpQmrnvXPIWRmr9A0kg4H02eeQfdGVaBISCdc2UvPAMzg+/Gqfsu5/CwiCgP2CU7AcMQmiMpsfnE/9j/unmEBFRaVvowqGKruhsSWgSUuGqNynuwyjQWXjXWs4OAVDgIxBCcy8RsmwK336m/auyXhJO2oo+lQrUZcHz8KuMxElswnrTKWqqunHb2LaJEk+8ngAmkvW4WvqG3a1oRYHANoE2345f5uFYXNJRwtDgz0DU3IOtsLRhMO7qokTrDmMGnkxE6b8Ie5r6bZUEAy2UFW9Eq3WyJQR15I8cCIavZHs8ScA0PjDVyTPPAF9RjZRdwsNT72JccQgEk6eCcDWf33Jz6c9yZqb3mHHcwuo+34LvioH3opmNt7zMXIkimnyaBJP7VxAc33xI5FmFxqbvX0xvDfkaBTP5vWUP/8fKl59Bu+OrSAI2AvHkpk1Oe73oCvaBeKEXQJxoKaKQE0VaCSlchUI1TXiW6sI4SPuOw198r51oAqiwOBbjkfUawhsK8XfnTxDqfXPbTT+DcmI30+oUelsNMYhGLZ1GPZVwbC+YRPFC95sz5SJFXNaHkgSYZeTUHNTzOMEUcQ8ZDgAvpX7VvEtiCKJpyifu4r3VhDxHbpWZPsTrU2xm444D40NWBUVlQODpTCVcU9dQMrhgxSL0jc+oeGZt4j6+m6hZF/GMDCf9L9ejZSUSLChjvKXniDYGL8jw8GIMb+QnMuvQzJb8DVWsvXTJwm448uWO9jw1Baz9bOnqFj6MXI4jGnAEAquuxWtLanDcWG3i/JXnm4XCzP+chWa1CRkWabxlQ+JujyYCpIp/N0MAAINbmo/WwvA0dcNitkdo6HYg98dRtRriPgU1wddbgaR1gxkQaeIiKJmz/ntv0aSdNgS8gFwV20jacB4AFxrVpA09Uil8La0isCWHSScpKyZSv63uL1wM2lCAfmXKC4xn9y/od0ytadIzDAy+hRlTVD+VtcOQ3tCEAQG/uEYEoZnEfYEqH34ZcLN+yc7WhAEEo6d1m5l7FqznOr3X+92MaWKyr5iHjiU/OtuxTp6PMgyzo+/o+b+p/ebcH6wIIgiSZechnn6eEU0fOAzGhbF5+yjoqJy8KMKhiqdoh+o3CA7N1R2cWTvEWntMNTqD17BEGDGFf3JGpaIzxWi6LGvu1XhLGolcs5p7TL8/MeYqvWsx08HjQZ/eQm+0p1dHq/PyMIyfDTIMhXLP+0Tldi7BCTbfjm/Zchw9Jk5mEaP7GCbIggCQ0/7E/2OOA+dbpcYJUk6UpKHdHgsVkLRAEuWPcKWrR/gdJYhCEJ7B1bSgIkY7BlEfT4ci38g89xLEIwGAttLaX53PrYzjsVy+EQEnZaIL4RzXQUV761k8wOfsezil1h+2cuE3X50hbkkX3FWpwvwcLML12eKrWnqsScjarV7na8sy1S88jRVb72Cv7IMQaMhdehURpx1O4UzL8Scmhf3e9AVwVaBWJNoa3/MtVbJ3DCOHoJkUbqRPN8tARnsEwsw5yf/+jTdwpCWQObJowFwfhSbyP5L2vMtu2G/I0fC2Kcega1gFFpj7L9bAfcuS9K+iMdTTdOOlbir4hNgRY0Oc3IuAL7S+MLqLUNHAuBdvWmfv8PMU8agSU0i5PRR9enafTqXSue0dRiqOWMqKio9jcasZ9idJ9P/2pkIkoh32Tqq73mCYHnfKIo72NBlp5Px16vRpCcTdjRT/tKTBGoPjffSkJlD7u9uQGNLIuBqYOunT/aZ4sqeJOTzsP2rF9n66ZO01JYg6HSknXJWe5fOL+kgFibbyLjtSjQpyv2o58cV+FZvQtBKDL39pHb78fK3lxMORskfZ6dwcuz37+VrHQBYB2fgLVHufbU5Ge3Cl9C6ppG0OhxlG2koWkYw2LV1rt2uFPW6qopIbhUMW7ZvQZZl7BMVkdMx7xssR01BtJrxVzkof3d5+/i88yeTNKWQcDDKm39ciaPaF/NrioXDr+iPIEDj4p3dyjJsQ9RpGHHvbIy5diKNDuoefoVoS8/O9ZdYpo4l9boLQCPh2biWqrdeIRpS7f1VegfJaCTzzAvIPOdiRLORYEkl1Xc/juubRX1iv6u3EESR5MvPxDRlDHIkyqZ7P6Fxadd7hioqKr8dVMFQpVP0g/oB4Fxf0csz2TPRQGuHofHgFgwljciZD4xG0oo0LdlJ3TfdsybNPHEk2kQj4fomvMvWd3m8xpaAZYay+Gn68ZuYrpFy9IkgSXgaSgh6dredOdCE/UrXyS8FpJ5EMpnJv+YmkmceH7M9Z3fRinrStYpQv237Z8hyFFmO0lC0lC0fP0rm2OMRJAlBq0OXlELmaecD4P7qZ7wrNpB8+ZnkPnsPmff/keQrzsJy1BR0/XJAI4EMUlIiqTdehKjrXAh0fPglcjCEIbcAS2vW294QBAFT/0GIBgMZo49m5Dn/R97UM9EnxLbAl2WZcMAbs3VTNBIm3Hpsm0AsR6O41il5hpap45TjAkE8PykiYvbszl+Hc1MVlR+tJuSKbzGce84ERJ2GwPYy/JvirLJr6zCU4xcMNWYLqSfMpv/Rl8Q1bleHoS3uax4ILOYMgG5tqlkzCpWxJfEtXEyFgxB0eiJNToLF+/b3TZCk9i7D8neXEwmoXYY9jc6udhiqqKjsPwRBIOeMcYx+dA76VAvhmgZq73sK9w/LDumNwu6iSbGTcfvVaHMziHjclL/6FL6K0t6e1gFBl5xK3u9uQJeWQcjrota5oetBBxm+gSa8LXUgiiSOn0LBDbdhmzh1t0LEsNtFxStPE2qoQ0pKJL21sxAgVNuA462PAeh36TQs/dOA1u7C+Urx1VFxdBcClK9T1qQJQzNpKVaEM21OOpHW/GNBVARJUaOjfPE8Sn96B5+v6y7QpKQBALird6BPSFaKIaNRXGuWY5+mdBmGyqoJbN6B/WzFDab4lZ9xrClvva7A0L+ciCHLhqPKxwsXL6ahpOcKoFIKLAw/TonDKH972T6dS5toYtSDZ6JLNhOqqKHu8f/GFHPSXUzjh5P2x0va808rX3+RaODQywBV6TtYR4wh/5o/Y+o/GDkUpvn1j6l7+BXCzYdujrogiqRceTamCSORw1E2/u1jmteoWY8qKocKqmCo0imGwQUAuLbUtFt/9jUibYLhQd5hCJA+0NpuTbrjuQWEPfHfMEsGLdmnK6KJ87MFMW10JJx4OAgC3u1b8Vd1vXmuS0kj86wLKbjxdvTWpC6P398MOP4q+t9+P5ZWm8EDjSxHqbY1EInsWlD5/Q527PyKLa6f4z7fQMtkJFGHy11OXb2y0dCwcgG+pmp8DeWMPOf/FNEWsAwdgX36UQA0vvw+oep6BFFEl5OBZcYEki8+jcy7ryfv2XvIvPdGMu/9AxpbQqfXDZRU0rJQEd5ST5i9x0V6NBgk5HK0/zs3ewajzr6T7AknoTVa9/raQj431Wu+YfvXL7Np7r9Z87//Y+3rd1K5Yn6H4/b0exvyti76JQnJpIgI3p3biLhdiGYTxtGDAWhZspZoiw9DRiJJE/vtdp6mZcWsv/kdtj/xHcsveI7tT36Hrzo26x19soXMWUqHmvOjb+PaTGwTnLvTYdhd2kT9vmpJam4TDB01yNH48iIs7YJhfB2GolaLeaCSp+ldtW+2pADmqeOQkm2Emr1Uz++6UEMlPrR2tcNQRUVl/5M4LIvxz15E0qR+RINhml75kMYX3iUaULte4kWyWUn/y1Xo+ucRbfFS8d9n8BYfGlZmmoREcq+4ntTjTyXpiGNx58cuevVFgp5mKpZ9iis7gjtfQJAkMk4/j4LrbyV99jloE3e/vww2NVLxytMEfyEWalvFQjkSoeH5d4n6QySOyiHnrPHt43Y+/yPhYJSCCUkUTorPHaStw9AyOJ2WMqVYTrKYIBJFkCTs046k4IbbyBp3fLstaSTa9WfbaslEozESDQVoqSslZbASt9C8+EcEnR77JMWK1DHvG0zTx2OeNg6iMpse+JRAo3LforEYGP2vszHm2HFWK6JhT9qTHv47Jde7foESQ7EvGDISGfn3M5BMOgJbi2l4/t39um4xjhhE2s2XIxj0+Iq3U/Hac0R83v12PRWVrtAm2Mi+6EpSZ52OoNXg31BE9f89hnflb68AJFYESSLl6nMxjh2GHIqw+YHPentKKioqBwhVMFTpFE16CmKCBTkUwb21prensxuyLBNt7ebQGn8bv8bTLysktZ+ZkMNHyauLunWOrNljkIxaQhU1+NZu6fJ4bVoy5imKzWLTT9/GdA3r8NFoLNY+sQgWBAHJaELU6ffrdSItHmoCW4gEO3akbZ73KJvnPYLTtat6OhwJUFq2gHLfRuQ4u8kMkpl+JuXnUVK6ABAoLFSyI2s3/oQsy1hLFZEqGgySfNQJGAv6I/uD1D/5eqcbW4JGgy4vq92u89fIskzz25+BLGMdNQ5jbn6nx0VDQarefJmKl54k5GjCWioj6QxIOsNeX1MkFKB4wZusf/s+qlZ+jrNsI76maqIhRRQXmzwk7ghgKfJQufwzdn73306FuLa8Sk2CrV3Q9GxUKpFNk0YiaDTIsoz7W+Wzk3XqaASp43dD86pSNt8zj0goismmJeSLUDlvNcsveZFN938a03dd7pyJCFqJQFEJgS1xdLe1dah2Y+Htrywj4ovfGih3ymlkTzwZkykl7rEHAqPRjihqkSNhAq6GuMZa0vuhTUrBmF8Yd/ZJuy3pPuYYAggaicTWDNHyt5f32QKbgxW1w1BFZRdyNzJwVWJHm2hixP2n0++K6SAKtCxaTc09TxKsrO3tqR10SGYT6X++AsNQ5R614n/P49m6739zDwYko0npPmu9V3Wk+anb+NMBLRjbV7wNFRQveJ317/2d2vXf41y1KyPPmF+ILiWt03Geok2UPf+wIhbaExSxME0R/+RolMaXPyC4owzJrGfIbSe236fX/7CVuu+2IIhwws1D4+ou9HtC1G1X7hG0CUbkUATBoG+/H9MmpaAxm9GlpqOz2BG1imAYjXTdPScIImmpI7H3G40gaUkaMAGtKZGI26V0GU49or3L0L96M0kXn4Y2J4NQs5fND3zWnmdoSE9gzKPnYhmYRktTkJcuW0Lx8p7JucwamsjA6anIUTrYoXYXS/80ht87G0Er4V2xnuY3Ptmv3daGwf1Iv/V3iGYT/opSKl55mrBHvedT6T0EUcQ+eQb5V9+MPiuHaIuX+idep/HVuYdsEZGgkUi99nyMowaTd96k3p6OiorKAeK3obSo9DiCIGDowzmGcigCrfeuv4UOQwCNVmTWX0cAUPXx6m5lEWitBjJPUQQn12cLYhqTMOtIADyb1hFsiC/gudq/GX+cG/09yYESLcteepLK11/AU1vS4XFjkmID09y8Szgym1KRJD0ROYwn3BT3tfJNI5EkHS0tNTQ2biUleQiJCfnIkRDVq78CIFBXQ+mzj+BcsZjMsy9CsiYQqqxVquG98XWn+lZvIrBlJ4JWQ8oxszo9JhoKUvXGy3h3FhFu8aArcuz1nL9cWIoaHb6mKuRohISEXAYOOJnRIy9h8sQ/csSMvzFyxIUA+P1N1G74AUfJOhwlu3dqCZIG88ChGAv6t1+jZZsiipvGDlPel+1lhMqqEXUaMk4Y0WG8Y30Fm++eSzgQZciRadz6/TFc+sJkBk5TFtn1C7ay6ro3WHPzuzjWlu/xtelTrGSepAhOjo9iE9mV+bd2GMYpIkfDYcpeeJwdD97RntkZK/Z+oxlsnopGs3dRt7cQBLHdltQbpy2ppDMw6vTbyTjjPASNJq6x5kFDQZIIV9f3SKi9Zfp4pKREgo0ear44dCtQ9we61g7DqFPtMFRRKXtradcHqewTgiiQd95kRv/7HMWar6qO2vuewLNwZW9P7aBDNOhJ+9OlGMcOhXCYqrdfwbV+dW9P64BT99kHlC+ZR9EXz/aJOIc9IctRnGWbKJr/DJs/epSmHashGsXYbyD6zJy9j41Gafz+S6reeImoV8lMz/i/azuKha98SMvPq0AUGHLr8RjSFdeTQKOHkie+BOCIKweQM9IW17wrNziRZdCnJxBqUnIJdTkZRGoVQU6b3LFoTtQo0QyRSGwb/0MGn0bhURdjTs1FlDRkjjmGxEnTMA8YjGQyd+gyFLQaUq+/AMmkw7muguKXF7afR2c3Mfrf55A4KodAS5jXrl7GlgU9U4zQ1mVY9+WG9s7GfcE+Jo8ht50IAri/XRzznkJ30Rfmkv6XqxATLARqqqh4+akOjjYqKr2BLjWdvN/dqDg6CQKeBUup/tsTBEurentqvYKg1ZD6x0uITjm+t6eioqJygFAFQ5U9sivHsO8Jhm12pABaw29DMAQYcFgKw4/LQI7CtsfjszxsI+fM8UoH1LZS/FuLuzxel5OhLOZlmaaF38V8ncYfvqbqjRcpXzy3V3Je/I5aKt94iYZv5nd98D5iyM4DoKW+o2e7NVPJtmh27LJFFASRBGs2AI5Q/GKEVjSQZ1AsVkvKvgegf2uXYUPRMvyOWqIrigg11FH/xUeEmpvIPPtiEEW8KzZQ+ed/4pz/A3Ko606naCBI8zvK+2c/7Ei0tt2thdo6C707ixB0OgYdeyWW9N2tPkHZEKhd/wObPvgnkVAAUIoPhuTNYsK4a5kw7hpyc6aSnDwYszkNSdK1jzWb08nPVRbdZYs/JBzo2FFnTs0j+6IryTj9XACCdTWEXQ4ErQb9EMWesq27MO2oIWgTjO1jnZuq2HzH+4R8EQZOT+XcR8ah0YoMOCyFS56bxPUfzGDMKdmIGgHn2nLW3/oers17FrBy50xE0IgEtuzEvzXGLsNudhgG66ohGkXSm9CaOreUPZixWLqfY9hdJIMRUz/FArpHugy1GhJOOgKAsreWEQ3FZ6+qsmd0SWqHoYpKGxXvrqD22+7lXKvEh21UDuOfvRj7+Hyi/jCNL75Hw4vvHbLdBd1F0GlJve5CzIeNgUiUmvdfx7Vm37ugDhZkWcZUOBBBp8NTvYONHz1M047VfS4fMxIKsOnDf7P965dwV28HUcQ6ahx5V99E7mXX7NF9BCDi81H15ss0fv8lyDKWmZPJuP33aJJtgLI2aHptHi0/rQBRYOjtJ5EyTbkHk2WZoke+xusIkTk0gSOvHhj33MvXtuYXDsvEU6wUsWpzMwjVKoW3uuRUXGtX0PDt57TUlyG1W5J2L58vdehUBow8A61NsVlVugz1hMqr8a3ehDYjFfulZylze2c5DYt22fFqzHpGPngGyYcVEg5EefMPK1n98b7laQMUjE8ib6ydSChKxQc9U9yQduRgBlyrOGg43v+yPR9+f6HLzSDjr79XCvAa6qh4+WlCTsd+vaaKSlcIGg2px51MzsW/R7ImEK6up/q+p3B9ufCg6hrvKdoiVlRUVA4N1E+8yh7Rt+YYOjdWtVtq9BWirYKhIIKk/W39Gp/452FojRKuDZXUdCMTS59sIeN4RXByfhybAJg4S1kQuNauINQcW1ecdfhokCRcFVtwlB74rhq/s56WrRtp2b51v1/LkJ0LQEtdSYfH2wRDl7uSUGhX5kJCgiIwNgW7J7YXmEYjSXos5gyi0TA2WwEpyUNAjlK58gtSh03H3m80RKNUv/c/9BmZZF/wO3Sp6URbvDje/Zzqe54gWNr59SMuD46PvqHyz/8kXNuIZLGSNOOoTo9t+GY+3h2/EAtbs+M6o2bdd1Qs+xi/sw7fkuUk7giQuCOA3V5IQsLeq5MB8vOORKsxEfa5aShastdjnSuV5/VDChF1WgI7y/EtVz4vWbPHAIp9W8WHq9hwyzsEvREKpyRz/mPj0eg6FhlkDE7grAfHcPMXMxl8eBrRiMyOZ77f47UNaQntHYzub/c+z18T7yZRW7aoKTk7LosmX1M1jtIN+Hzxd7keSCzmDBAEwoGWbo2Xo1ECdfHbZluGtdqS9kCOIYD18IlINiuBeje132zqkXOq7OowVAVDFRWF7Y98gWfHvndGq3SNzm5i5N/PoODSqYpF6cKV1Nz/NKH6vv13ta8haCSSrzwHy5GTQJapmfs2jmXx53wfjAiCQOK4yeRfczP67Fyifh/FC15n89yHady2Iu785p4iGg7iqipq/7d3gAExxY6o12OfeiT9/ngHmWddiCFr7/fuEb+fiteeoaVoE2g0JF9xFsmXKNlfbbi++AnPD8uUzsLbTiRt5pD25xp+LKJp6U40OpGzHhyDphtr+vJ1DgAShmbRsqNVJMzJINTeYZiKe+Namn74Gm9j5a4Mw0gg5mskbPfjd9R26qqjdBnOAMD56QIAzJNGYT12GgBb//0lYc8u9xdJr2XY3aeSfswwohGZD+9Yu8+dhoIgMOW8AgBq5q/vMUE6+/Rx5J6r2A82vvLBHteVPYU2I5WM23+PlGIn1NRA5esvEA2qRRoqvY+p/yAKrr0F85DhEI7Q/Nan1D32mro+UVFR+U3z21JaVHoUXV4WoslApCXQ53IM2+39ohD9jWW62DKNHH3dIABKnvuuWwHmuXMmIWhE/Bu34d+8o8vj9QPyMAwfAJEojT98FdM1dClpJE1rze5aMre9o+xA4XcqG2a65P2fz2bqr/w8XDU7OnS+6a1JGJOyQI5SW7e2/fGUlKEA1AaLCUbjswgF0EsmZiZfzJDBpyNJinVOYb/jAAFH6QZCLQ7yp5+DzppM2NlM/RcfYR44hPzr/kz6aecimS2EKmqpvvcpHB99ixxRNiSClbU0vvwBFTf9A+fcb4i6PGgSbGSccT6ifnfbypCjCWfrpk7/Iy7aq1gYbHFSs/bb9rlmZoyL+3XX1q0lFPaCIGJN33Wt5uJ1VLl3vb/endtwLFVsfhKOmUrE5aH+ydeRI1FSZgzEOjCdQKOH9bd/wI6nvyccjDL48DQufHzCXjuSEzOMnHJnqxC4pZqwd8+LVNsoZRMl6o5N6ArVtlY9J+7exbk3/BVKPqY5NS+ucU3Fa9jxzSuUlf8U17gDTWbmeMZe/CD5086Ke2wk6GfHg/9H6ZP/JOKNT3C0DFaKKoLFFYSb47N67QxBpyXhhNYO2TeX9rkim4MVbaLSKSwHQ8jB7nUDqKj8Vuh/WDLhQJRN935C2HNg77kOVQRJJP/Cwxj9z7PR2kyEymuou/dxfBu29fbUDioEUSTp4tOwHn0YyDJ1n35A4w9f97lOu/2FLjmVvN/dSNKRxyHo9Piaqyn58S3qN+/KrN/f4mEk6Kdpx2p2fPsaa968m22fP0eTzdke75B+yln0u/luUk84tVPHkV+jOJC8RKCqAtFqJuP/rsYyY0KHY4IVNTjnKuvKgdcfRfrRQ9ufk6MyJf9bDMCMy/uTPsAa92vyOUMUL1OEwYRhWe3FFNq8LMKtwr7Wntx+/yBqdEg65b4iHI79O3Rn8dds/OCf1K5f0P6Yd0cR1e+/TqCmCtthh4MkESyuIFCiiGr2OSeizUoj7PJT9nbHrlpRIzH41hPIOHEksgxv37yKpW+X7tPnYePXilOHdXBGXAWGXdHviumkTB8AUZnGVz7c711VmtQkMlrtSYO11dTNn7tfr6eiEiuS2ULWeZeTdvKZCFoN/nVbqbrzP/g2be96sIqKispBiCoYquwRQRQxDGu1XFxV2suz6Yio31W5GA789jZmp17Uj4IJSQS9EbY89Hncm8/GzEQyZ40CoPm9L2JagNjOOA4A15oVMWcZJh1xDFp7EqEWJ9WrvoxrjvuK36FUY+pSM/b7tfSp6ehS0yESwVnesXsoeeBEAKqrV7U/lmDNwWLOJBoNU+XrXgekRtR2+LfFkkFB/kwGz7oWncWOpDNQcPi5IAi4Vi3Ds2UjgiiSOG4S+dffqnRQRaI4535Nzf3PUPvwy1Tf8SieH5dDOIw+O5eMsy+i35/uwDxgcKdzaPrpO+RIBGvmABLzhu11vlUrPycaDpKYkEd+3hGIYnxWwR5PDVu3fwJA1vgTMKcp9kdBTzMli96l+t3/4t60jojfR83ctxTboyMmYRgxkPpn3iTS5MSYa2fwLccT8QVZf9sHNK8sRWsQOeX/hnPhUxPQmbrOurNlGknMNCJHwb0XW9L2ooVIbBs8oTLlXPrM7JiOb8Nf3ioYpu3ZDqrT67XmHer1iXGNO9BIkq49TybusToDWoOyweQrL4lrrMaagCG3AADvip7pkLbMnIxoNeOvdqq2gT2EZNaDqGx8RVp8XRytovLb5rS/jSIx04iv0sHWh788ZMSWvoBtTC7jn7kQ6+AMwm4/dY+8jPPzH9WfQRwIooj9wlNJPFVxtGj89nMavvzkkHkPBUki5agTKLz5TlKOOQltciq6oybizhdw5URZ+/79bPvyBeo2LSTg7pku1paGcsoWfcDmj//D2jfvonjB6zhK1iGHgmhsSR1cZbT2JCRDbJnX0WCA6nf+i69kB4JBT9rNl6Ev6NiNKIfDNDz/DnIoQtLkQjJPGd3h+YafivCWNGKwaph6cedRB12x7L1Sgr4I5n4p6FMtBBtbQFAsSSONDuV12exEQ0oBoKjRkTxwIv2OvJC01BF7OXNHEhOVoj1Xxdb231fPDz/jXrcK15oVaMwWxXkHcM77BlCsDG1nnwBA5YerCNR37EQSRIGBNx5N0mTFnvST+zfw+vUr8DTGXwxSvKKRjV/XIIhQ+Psj4h6/NwRBYMANRyOZ9QRLKnF/vajrQfuIJsVOytVta9ylOFcfOjbGKn0bQRCwTZpG3lV/QpeWQdTloe5fL+GY980haVGqoqLy20YVDFX2imG4kiXQvLJvCYZSB8Hwt5cXJUoCZz4wGr1Zg2tjFeXvxn+jnH/BFESDhuDOcnxruxat9P3zMI4ZCq3B9THNU6sjddYZANRu+glv04ELgfY1twqGaekH5HqWYYoA6yhZ1+Hx5AHjEEQJt6eSlhZlToIgkJ01CY3GgCR0LVLtCd2WCtzuKkrLfgSgsN8xZHuy2p+3ZhSSPlzpaqr9+N32LiuN2ULmnEvJOOsCRJOBYHEF/vVFIAhYho0k94obyLvqjySMHIsg7VnYSznqBOzTjiR7wkl7nae3oYLGbUq2xcABs7pV2eoPOBBEkYTswWSMUjpX5WiEnQteJ+r3YcjOwzJ4OHWfzSXsdKBJTcJ+3iwc731JYPNORIOW4X+bjWTUseWhL2gpacCSoufad2cw+dyCuOaUP06prHZu3LP1jqCJPZMw2uJrr3TWZ2R1cfQuIj4vwXrld8qcGp9gGGxxKNfT9/3cw8Qd3e+UacvT9JV2ndf6a9o2d7zL47d+7gxRryPhxNYuwzeWqF2GPYAgCGitygZm1OPt4mgVld82xkQt5z0yDkkj0PDTNirnru7tKR1S6FOtjHl0jmL7H5VxvDOfhufeVnMN40AQBGxnHIf9vFkANC9aQO1H78RcfPVbQDKaSDr8GApu/AuSQel281eWE3G7cFVsoXzxXDa8+wDr3v5/9s4zPI7qbMP3zPai1ar3YknuTS6AjQsumGLAppkSeuiEmgSSQBK+kEASUmmh994xYIwxNsbggnHvRVbvfbVabd/5fowkW6jtSrKKPfd15QrenTNzdqVdzTnP+z7Pn9n/2eMcXvUq9flH7lMCfh/28lzqC/dSk7OFyr3rKNuxiuIfP6fgu/dorJDvh+xpAg1GG1X71tNUVYjk96OJjCZi1jxSb7mHYfc8gDG9c+eQzvDW11L0whM4Du5F0KiJvfuadmIhgG3paryFZajD9Iz45YI29+FSQKLgddnSf/oVwzBYQi8c83n8bHwzH4DkJVNpbLYjVcfHQIsrgSCgDo9A8rZ0GGowx6UTmTkJkyk26GtFWDMQRBWexlrcNvk6UZlTAGjYtRUpECBqzhkgiji378N1QP4ZGLJHoxuRTsDjI//V9kKbqFEx7s/nk3nrHNRakQPfVvLEBWs5+F3wttOBgMTyR+UitfizJ2DOiAl6bLDoosxk3Cjf39o+XoGvuq7Pr/FTDGOyCD9/PgCVyz7AXdF/WecKCt2hi0uQ91ImnwKShO2Tr6n8x4v46xWLUgUFheMHRTBU6BL92OaMtr1d2/P1N4JKbO06OB47DAEikows/K3c1VX46joac0LLrNFGmkhclA2A7ZPgbH+sFywAwL57O+6K4MQ/84gxcjdbIEDhug/7pVJYkqTWDkNdTP8KhrbSAwR8R6zx1HozKdPOZ9R5d2I0Hll8xsdPZvop9xI3+cweX9Pld/Djlqc4nPsldnvbn4ervpKm2lISp5yN3ip3QB49L0EQsEyYQtpt92GZdBIRp55G+l33k3jZdRjShgUloKlMZjJGnddld5skSRT9sBSQiIvNxmJJ6dFr1Zw8kdGL7yH9tMsRBPlPU+nWFTgq8hF1euKXXEnjvl3Yd2wGQSDqpktx7T5Ew5eymDrqvrMwpUVR+NYPVH9/CJVa4Gf/nUJMhjnkuaRNigTAtrsLwbBZaA1GFPIUy4tctTUClcEY9Dxa7Eh1lmg0htBeh7epQR47yDsMAYpLNrD/s8epORR6YUSrYFgYumBoHit/pt2HCvDVN4Q8viPC5k1DNBtxltRTuXp/n5zzREdtaREMe5ZzqaBwPJE83spZ98q2fnnPraFhb/8VaimAqFUz4tdnknXHfASVSNPGHXKuYWXNQE9tSGE5cxZR11/c6pJR9v5rBHy+gZ5Wv3L0fbg+JY202+8jesG5GNIyQBTxOupxVBZQn78Tm6oGe5qAPU2gRl/OwWVPcXjli+R/+xZFGz6idPMXVOz8huqDP1DdlNNqM6pPTiNixhzil1xF+l2/I/2u3xGz4Fz0iSk9Ku5ryj9MwfP/wV1eimgxE3vvDehHtRcd3blF2JbJWeDD7zodXVTbe9jq7w/hyK9GZ1Zz6lU96y7csawUe5UbbZSZ2LmjWtfJ2rSkVkFLZQ5DVKvbdBj2BJVKizVcnqetWL63s6SMRqUz4rc30JR7CG10LOGTTwGg/v3lSJKEIAhEXCIXXZZ/tYf6XcXtzi2IAskXTWHik1diSo/GUevhtVt/5PNHduN1dS+k7/ishNK9NnQmtZy3eoxIWDgey7gkAi4vta8v7Zf1fvh589CPHY7k8VL27qsE3IoVt8LgQdRqiT//UuIv+hmCTotr32FK/6hYlCooKBw/KIKhQpdoYqNQx0Yh+QPU7yga6Om0oaXL0Hscdhi2MPn8ZEbPi8Pvk9j/t+UEPKEtplMuOQlRr8GTX4Jze/cWedq0RIwnjQdJonrVl0FfJ+bs89HGxhO+YH6f5iZ0htdRT8DnAZUKTeSxzzAEuTMsbvElpN/523YWijGjT8UUm9bmtatUGjQaQ6+uqVeZiNdnAlBQuKb1ce+mHez95F/kffMmCAIjzr6F5GtuQWOxtjuHxmIl/oLLiTlrMdrIqKCu6yzMD9pWw+9xEvB5EVRqMjPOCGrM0fh8bmyZOgD04TFoDLLFZEPxAcp3rgYgbvEliGoNFcs+AMBy7hzU0RHUvSr/O3nJVGJmj6B6w2HyX5EzF8/7/ThSs0PLC2whbZI8zr6vrFNBsKXDUPJ1//3jabEjjQ/NjlQbl0DseRcTN35OSOPgSIehfggIhi6XDUdlAY6qwpDHtgiG7pJCAt7QMu404RHok9NAkvrMllTU67CcNQuAAqXLsE/QWOTv0YBiSaqgAMC0n6Uz7swEAj6JvX/+HK9N+Wz0J4IgkLQ4mwn//Emu4c6eWdCfqJhnTSXm9itAraJx7y5K33jhhBUEBEFAFxtP5Kx5pFx/O5m/eYiUG+8k4dJriDn7fIyZw1uP9TudaKJi0CWmYMwYjnnMeCyTTsY6fTZRc8/EkJ7Veqw6zELMmYuwjJ+ENiqmV2u0+h/XU/zq0wTsDrRpSSQ8eDv6Eentjgs43VQ/9x4EJGLnjiJ2TtvYAykgUfBGS3dhOobw0LsLJUli3Su5ACRdOAlRo6LxULPzTFpiq2CoscoFgEd3GHqbGqjL30lNTWif16hI+WfQUCKPE1VqIodly4/t2CIfM/dMBK0Gd04hzq1yhIUuKxXTjMkQkNj3589x1zR2eH5zRgyT/3cFSRfKGfAb3yrg6Uu/p2R3fadz8jT5+OoxWcBMvHw62ghTSK8pFARRYMQ9CxA0Kpw79veZO0fX1xSJvvlSVFYLnupKKj57/4SxMFYYOlgmTiVNsShVUFA4DlEEQ4VuaekyrNucP7AT+QktOYbBVN8NVQRBYPGD4zFFanHkV4dsTaq1Gkk6fxIA9R+H0GUoCDj27w66a0cTHkHaL+7FPHJsa1XrscTncqAymeXFbxeWmn2JIAiET5mGJrxzEapF+DoaSZIoi3FQ4uxZt1GmSV44VlbtweGQq2ctYSmoRR2u+nLKtq1EY7RgKRJar1e57CNcJaGLLyB3ahW99CQlrz+H6XD3XcVqnZFRi+7kpEm3otdbQ7pWVdVe1m/+F/ayw20e9zY1kPv9WyBJhE+djnnsRMo/eYeAowltWhLhi+ZR8+IH+OwuzMNjGfbzmTgKasj52+cAnHJZGlMvTg1pLkcTmxWGPkyN3+mlMbeqw2NaLUmDsNHyFModIKHYkYIs9lpPOpWYUdNDGuf3uAh45U23oWBJajbJXcLO2tDthnSWaNR6M5Lfj7u0feV2d/S1LSlA2PxTEU1GnMV1VK5RNpB7i7rZktSvWJIqKADy/cj5fxpPVJoJd5W9R1nXCr3HOj6ZKc9cSdjoBHyNbir/8zL1n65SNglDwDhlHLH3XIug09KUe5DiV59utdc/kVEZjBhS0gkbO5GI6bPRJxyx/DRljmDYXb8j7ZZ7SL72VhIvu474Cy4j9uzziZp7Zo9sRrtC8vmo+OwDKj/7APwBjKdMJO7+m1FHWdsdG/B4qXzsVXzlVWijTGTdMa/dMTUbcnDkVqEz9Ty78ND3VVQebkRrVJF4juwWcaTD8CjBMEIWDI/uMGyqKSF31avk5q0M6ZqRkSMAsJfltDq6RGbJtqSN+3YS8LhRh1mImCZnCNZ98GWr1W7k1eejSY7DU+tg758/J9BJsaGoVZN121zG//UitJEmKg838vRl63jzzs2U7be1O/67l3OxV7rRx1tIbhYajyWmtChSLz8ZgNo3PsXvOPb3ZSqLmehbLwdRxL5zK7YtG4/5NRUUQkUbE9feovSfL+Fv6LhAQEFBQWEooAiGCt1iGNecY7h1cOUYilpZMDxeLUlbMEfpWq1JS9/7AU9daDfnKUumojJo8BaW4dy6p9vjNYmxmGdNBaDqq8+DruQ7umq1Wl+Os9ky9FhgjE4m474/kXT1TcfsGqHibqih4Pv32bvv/TaP19YeYseuV9nXuB5PwBXyecM00cTq0gGpNctQqzUxcsRiAMp3rsZRLXf/hhVIuL/aQP0P31P0whMhL6r8LidlH7wBgQB6wtp1UnaGNdeL2ZwQ0rUaG8vZc/B9fK5G6gvadnfZivbidzSijUsg5uzF2H5cT1POAQSNmuibL8WxdjOu3QcRtWpG/XYhAbeXPX9citvhI31qJAt/MyakufwUUSW0did2ZksqqJo7DIPYpPU2dxjqE0LrMOwpLd2FarUBlapn9kv9idkcD4CzrizkymFBEDDHt+QY5oZ+7WbB0H0wv89yJ0SDDsuZMwEly7AvaO0wVARDBYVW9GY5z1CtE6ndlEfey+sGekonJLroMLL/dQkJ504ECWwfraTqiTcINIV+v3eiYhg7nLj7bkA0GXAVF1L00lP4GtqLIwr9j8/RSPGrz2D7cT0IAtaLzyL6lssQde3vLSWfn+r/vYV7fy4qo5ZxD53f+ve79RjpSHbhtJ+lYQzv2T3q983dhbELs1Gb9fgaXbjK5N8ZbepRgmFzkWfKDXeQevM96MyRqLTynLy+0D6jJmMsOl04kt+HvVwudDTFpqGzRCN5PDTukwvPImbOQzSa8JVV0fid3Hko6rTE3H4VKqOWht0l5D63tstrRZ6UzpTnrib29NEIAuxbXcFTF3/fRji0lTv5/mV5Hhk3zm7dFznWpF52MsbUSAINjdS/F7wbUW/QjxyG9WI54qPyi49xl3ceGaGgMFC0syjdm0PZ/z2B+3DPirgVFBQUBhpFMFToFv2oTBAFnEV1uCr6JuepLzgROgxbGH9WIoljwvE0+Sl4Y0NIYzXhBpIukKsO6z8Ozh4h/ILTEbQaXIV5OA50LzIeTVN+LoXPP87hr17E5zp2VcKCIHRowXmsse/ezr5vn8dWuLfN44GAj+oDGymv3IHHc6SaLDIyC7MpHp/fRZ5jW4+umWGSK1grKrbjdNYCEBszjtiY8SAFyF/7DgG/bFcbmZFNeOpYJL+fiqXvUf7Ju0FZNUqSROVnH+Crr0MbFknqqRd2ebzP1Ujp1hX4vaHbR3m9Tezc/ToBr5uwhCySTz63zfO6M6aTeMX1JF5yNb76Oqq++hQA6yVngyBQ/94yAIbdOAtjcgT7HvkCZ0kd4fF6LvvXZFSajv+0eZp8FO2s48cPCtnycRGBQOfiVItg2NCJYCi2CoZdf/9IPh+ekua8zRAsSb31ddT/uB71ttDzqTRGC8PmXsXwzIUhjx0IjMYYBEHE73HhbRY7QyEycwqRc87AOHxk9wf/BI01An1yqmxLuqVvbEkBwhacitqso6mwlqq1B/vsvCcimpYMw36oZFdQGErEj7RwwUNyd03RO5uoWNW99bxC3yNq1Yy4+3RG/OoM2a5v217KHnqy9W+/QvfoMlOJu/8W2XqwspyiF5/AU1s90NM6obHv3UnBU//AWZCLoNcRc9fVhJ87p0NbUykQoPqF93Fu34eoVTPuz+cTNjK+3XFVaw7QmFOJ1qhixjU964Qs3Wsj94caRJXQur5tzJHdQFRRVlRmI/6aegDUzR2Gupg49EkpiGoNKp0sGPp8oVk5C4JAVsZZZJ1xA2HxGa2PRWZORhsTh6CS9yVUej1Rpy0AwPbJSgJuubtREx9N5I2XAVDy0VYqV3f9fa21Ghn924VMeeFaYueOaiMcvnXXZl6/7Ue8rgCWcUlEzx4R0mvpDaJWzfB75NfX+O0mXAdCL9brCZazZmGYOAp8PkrffY2AWynKUBicWCZOJfXGu9FEx+KvtVH+yLPYV29U7HQVFBSGHIpgqNAtosmAdlgKAHVb8gd2Mkeh0h7/GYYtiKLAWb8eBUD5sh00FdeGND754imojFq8xeVBZXWpI8IJO2MGANUrl3UrihyNNiYWldGE217D4dWvtgpZfYXX2UhdZN90AvUEZ2EeTTn7qc3d2uZxgzUOU0wqSAHKyo88JwgiGcPkbL8C5y6c/tDnbtXGEaVNRiJAUfH3rY+PGH4ear0ZV105FTu/AUClNZB5+rUkTpHFtYatP1Dy+nPdCsWNe3di37UNRJFhc65EpdV3eXzFrm8p2/YV21+7n9raQ0hScF1U9fV5bNvxIi6XLExmzLsaQZRtZQM+T6ulrXnkWASdjtJ3XkHyeNGPHY7p1ElUP/M2AbcP6+RUEhdlk/O/b6jdlIdaJ3LF41MxR8m2sJ4mH7u+LOXrJw7w5p2b+c/Cb/jzKSt49mfrWfp/u/j4DzvZ/EHnFX9pk+VNBtuejgU7Qd1shdvN++otrQSfH1GvR20NPlOx6fABKj/7gMKNHwc9pgW1zkhkRjYJCVNCHjsQiKIaozEG6JktaUT6eKLnndXGsisUzGPkLkNHH9qSigY9pgXNWYZvbETqQpxW6Bp1c4eCYkmqoNCeieckMft6Oes4519fYj+kiFQDRcLZ48n+z2XoYsLwlVdT8ecnadq2t/uBCgBok+KIe+AW1LFReOtqKXrhCVw9sBpX6B0Bn4/yj96m7J1X8Dfa0STGkvDHX2DMHt3pmPoPVtC0cTuCSmTMH8/DOjGl3TG+RjcF/5NtQGdel4nR2rPuwnWvyXEZ0aeNRB8n2+632pGmy4V5P80wBNmFBUCtbREMXUGvXVqIi5tIeMpoRPWRucdPnE/a7fcRNi679bHwk05FbY3EX2/H/vX61seNk8ZgOW8uAAf+/RVNxXXdXtOUFsXoB85pIxzuXVVB+UF5PZl5S8ci7rHEOj6ZhGYr2JpXPu4XG2ZBFIm6cQmqyHC8NVVULv/kmF9TQaGn6GLjSb3pbsxjJoDfT+1rn1DzwvsEPN0XcSsoKCgMFhTBUCEoDOPlyrWajf1TRRYMKpMsDLga+laQGqxknBzNiFkxBHwSh/+3JqQqJY3FQPLFsnhQ//6XSN7u37PwhXMQw0x4qiqo3xS81ZXaZCbpiusRdToayw5TuP7DPq2oKtrwMflP/J3G/X3XDRQKlony+1ibtwNXQ9vq5+hR0wAoLFqL7yirm6iokYSHpxMI+NhjC+1n10KacQIWSyqieGSRqtWaGZ5+NgBV+9e3LtgEQSQh+3SGn3EjglaHM/8wDTs2d3n++k3ygjZ+/FzMsWndzkc4yq50+86XWbfh7xzKWUaDvQRJkvB4GmloKGoz5sDBpWzd/jyNjWWotHqyTv85ar0JSQpQvnM1uz/9J75GeQHsLi+l6LnH8FRVoLKGEXH1Yqoeew1PQSlqi56RvzqTw0+upnTpdgAueGgCiWPC5ddS5uSZy9fx7q+3sebZHPatrqCmsAlJgpiYI3/28jbVdPr6DOHy6wu4Or6xb+m2Fk2GDp9vwbn7EAD6pLSQFvTOItkC2hzT/c/ieKAlx7CpLnTBEI5sBPVobIst6YE8/I191xVtOX0GKqOWpoIaan8MLg9WoT0as/y3XmoKrRtAQeFE4fS7RjLytFh8ngD7/rIMX1P3+cMKxwbLqHgmP30l1uwUAi4vVU+8TsNKxS42WDQxkcTffwualHj8jXaKXn4SxyGlc7a/8DsaKXnlaRq2/wiiiOXcuST83x1oEmM7HeM6lE/D8m8BGHnfWURN67hzsHLNfprqPESnm5h9Q2aP5udu8rH3a/k+MemozD77wXJAzi+UJAlflVxYq7FGEHC7qF79JeUthZU6Y/MoCZ8vdJeUnyKq1Fh+Un8oqtVEzZUtNO1fr0c6KrPQesEC9KMzCbh8HH5mTdDXaSccivJ7YBnVvpOzP8i4cRbqMD2+sipczWudY43KbCL6lssBaNi6CVeZUlCgMHhR6fUkXHoN0WecB6KIY91Wyv/yP7xVoRX+KygoKAwUimCoEBSG5qrC+m2FBLyDo6NPG2kCwF594lhSLPzNGFRqgdpNeSGLtylLpqKNMuGrqm1T7dgZolGP9SJ5sVO95stWIScYdHEJJCy5GgSBmoObWrvfekt94R7q8rbLwfLh1j45Z6jok1IxDh8FgQBlW1e0eS4qayq68Bi83iYKi75rfVwQBEaNvABRUFPtKaLEuT/k68bq05k6+RayMs9q83hc7HjM5kSiRpxMwN9W3LIkjyRxomwbU/PNCiRfx0Kxz96AMz8HgOiR04KaT0L2Akaeezsxo05FpTPi8dgpKl7H5i1P8c23D/D9+kfYvPVpalMC2DJ12DJ1eMLVIIhEj5rO2It+gyEygcbyXPYvfYySH5fhravBvnMrjkP7KXzpCXwNNjSJscTedyN1r32C+2A+KpOO8X+7iKJ3NlH62Q4EAS748wQmniNXFVfk2HnuyvVUHm4kOkbkkp8ZeeBPFl55O5J1W2P5bkscf/+PLCw21Xde5VeVK9vKGlIiO3y+YY9sVaobnt7l+9SyiDaN7Lwyu8NxxbJgaApCvP0pjqpC6vN3tdrXDgXM5kQ0JmuPq6R9rkYa9+3CWRC6MKeJiEQblwCShHNH6J/NzhBNBkyzTwGg+IMtfXbeE42W4qCAq/cbewoKxyOiKHDRIxMJj9fjLKkj5/FVAz2lExqt1cj4v10kd+AEJOre/Iza15eG5NZxIqOyhhH/u1vQj8lCcnsoefNF6jeHFsegEDqeqgoKn38MZ2EegkFH7C+vJeLiMxG0neeZBzxeal74ACSIP3MscfM7v9ct/1KOuDhpSSrqTqIDumP/mgq8rgCGJGsby1P7gWbr/2EpBOwOJI8XBEHu8nM2UbvmK0q3ynl7okqNqJFdVDzexvYX6QbPxq2UbvsKt73tPXbA42kt9gMIGz8JlcmMv66hTaexIIpEXrUYQSVSuzGX2s35IV2/RTic+fldZN02N+T59xVqs5640+Wfd+O3m/rtuvoR6RinZQNQveIzxeZRYVAjCAKRM+eSfPXNiGEmvIVllP/fEzh3KXEVCgoKgx9FMFQICm1qAmKYCb/TS8O+nnWA9DUtgmFj9YmziRidbubU5syHw//7hoAn+O5KlUHLsOtmAtDw+Sr8Dd0vksyzp6JNT0Jyuqj+ellIczWNGE3swgsAKNm8jLq8HSGN/yl+j5PCdR8CEHHqnB7bD/YF0fPlbLja3G1tLBQFUUXS1HMAKCxZh9t9JPPTZIwhY5gs3u13bMAb6BuhWxTVnDz1dpKmnI1Ko2v3fOzYWViSRpBw0ZUIanWH5/A7GtGnpGOKTUMX1rFA9lMEQcAcN4zUGRcx4fIHyVzwcyKGZSNqdOjCZXtJjSkcr/PI71ns2FmMW/I70mZcTMDvI3f1axxY9hRNNcWIOj2x516EoNFS8uYLSC43ulEZxN53A/XvfoFrTw4qg4bxj1xAxfLdR8TCv0xkygWy9VH+1lpevfo7GipcZGSpeO/TaB76WzhXXWdi2gwdUdGyjag1Qv7T12TrvAujRTA0pXb8ftiasw11WZ0LegGPF9fBfACMmcHn6/mdTXgq5WrpngiGVfvWcXjVK1RU9p3F5rEmNWUmEy77A/ET5vVofNW+DZS+/TL1m77v/uAOMI8aB4BzW992MoSdfiqIAvXbCmk8XNmn5z5RUBnlruqA88T5W6+gECrGcC1LHp2EIELF13sp/yq0/GmFvkVUqxh+9+lk3DQbAPuqDVQ9/rryPRYkolFP7C+vxTRjMgQCVH76PpVffKyIrseIpsMHKXzxMby1NahjIon//W0YxnWfi1f/4Qp8FdVoo8xk3jqn0+McBTXY95chqgUmnht8nvdP2bVcXnPFzBnVWmDma3ThLJGtPbXpSa3dheowC6JajdSc4y6qjgifGoMZAK8ndMGwoPBbyrauoKn6SHebp7GOw3/7PcUvP0XAI68tRLWa8ClyEaZ9VVvBW5MYi3nedAAOP7MGyR+6paeo7XhN158kLJRtSZu27cXXnBvZH1gvOgPUKppyD9GUc6Dfrqug0FOMGcNJu+lX6JNSCTicVP77ZRqWr1UEbwUFhUGNIhgqBIUgiujHDgegLsRKuGPFkQ7DE2vxPefmLMJidbjKbBS917XN5E+JO2Ms5qxY/A43tqXdV6ALokjklYsA2frDWVzQzYi2WE+ZiXWanOOVu/o1anO3hTT+aIp/XIa3yYYmMpqouWf0+Dx9gT4xGfPYiSBJlP6ky9CaNg5TbDoBn4eCwrVtnktJmUFMzDjGjrkMjdh1RmBnSJIU0s2lqFKTdeZNxJLe+ljA3fYzo4tPJPWGOxhx9q09mpOoUmNNHUvGvKuY+LM/MXLhbUy65m9MuOyP6JvFQwB9eAy6sEhKt33Fno/+LovIgkD41Gmk3fkbfLZ6Kj97HwIBTNMnEX3DEqqffAPnjv2IWjVj/3w+lV/vayMWTl4sC8d7V5Xz+o0baGiQyJ6i4c0Po0lMUnU434jIZsEwiA5DY2pUu+f8Ti+Nh2TxRz8ivdNzuA/mgc+H2mJFG925ndNPcRbKXXK68Bg0hrCgx7Xgc8lZbxqNsZsjBw+C0LvbEVOcLKw6C/N7NL5VMNx1UK5M7yPU0REYp44HoPjDrd0crdAR6lbB8MRxE1BQ6AnpkyOZ9wt5kz/viZUh510r9C2CIJByyUmM+eN5iFo1zh37KX/kGXy1toGe2pBAUKuJumEJ4RfKxXb1G7+j5M0X8bsUe+q+QgoEqNuwluI3niPQ5EKXlUr8H25DmxTX7VjXoQLsX8lFWiPuWYDa3Pm6pvxLOUZi5OzY1qzxUHE2eDn0nXzvHTv3SBFeS3ehOiYSVZjpKDtSueAv0CIYHhWlkDR1IcPmXtWanx0KBkM0AO6GqtbHNCYrGr0FyefDkXPEqSL8pOkgirj35+IpLm9znvDz56O26GnKr6H0894V1Q4UpmHRWCelQkDCvrJ796K+QhMTSdh8WXCt+uqzfslQVFDoLZpwK8nX345l8ikgSdS9+wU1z7/Xp+tOBQUFhb5EEQwVgsYwrlkw3BKaaHSsaBUMq04swVBnVHPWr2ULkJJ3NrRmqQWDIApk3HIaAPZvNuIt7b7jRZeVJlf4ApXLPgr5pjzmrMWEn3QqCAJ537xB0calSIHQKoTtZYep3i9XZ8YtvgRRo+1mxLEnat5ZIAjUF+yiqaa09XFBEEg++VziJ84net7CNmMEQWT82J8RFTUCz6jQOyR//P5ffLv2QZqaqto9Z8lxUZ+/i7JtK9s911KFG1Yg4SorIe+/D2Pfvb3dcUcvpnuKqNagMVq6PJdT40Dy+TCkZ5J26y+JPuM8qpcvpfY7WcQOXzyfsDNnUv7IM7hzClGZdIz9y/lUrz3Yxoa0RSzc9F4B79yzBbcb5p6u4+W3ooiI6PzPm9UqP+es777D0JjWvsOw4UAZkj+AKjIcVZS103O4dss2r8bMEaHlFxbIdsPmuGFBjzkan7tFMOw6X3GwEX7YLQviPVj4m2LSQBTx2erw2upDHq9LTEZtCUdye3DtOxzy+K6wnCUXTVSu3oe7OvRq9hOdlg5DSenMUVDoltNuyGLYSZF4nH72/WVZSE4UCseGmNkjmPjvS9BYjXiLyih/6Ck8BSUDPa0hgSAIWBfNJ/oXVyBoNTTl7Kfo+cfx1FZ3P1ihS7x1tRS/+gxVyz8BfwDjtInE3XcjKou527H+xiZqXngfJLkYtbPcQoCAz0/F17Il5+Tze+4Os291OX6fhCk9GlN6dOvjrfmFw+Rz+6rkbkNNpFzw11GHYcSwiURmZKPVdv9af4rRKJ/36Bx7QRCISJeLw+w7jxSHacIjWgvSftplqDIZsSyWoz/yX1mPq3xoFhIkXyTvETi++6FfrePDz5uHaNTjqSijYYdi+68wNBDVauIWX0LMwgvkXMP12yj/23P46oLfz1NQUFDoLxTBUCFoWjoM7QfL8doGvrpTG3HiWZK2MOHsRNKnRuJ1Bch99tuQxkZkpxJ1aqacq/JOcDaj1iVnIeh1uEuKaNgeWlejIIrELryAiJlyzkLlnrUc+OJ/raJGdwR8XgrWvQ9A+JRpGIdlhXT9Y4UuJo7I0xaQcOk1GCIT2jxnjhtG0tSFqLRdCzbViRIH7OuRpOAEkoDkJyD58Hja50k2Oso5vOoVSretwFlX3sFoGeeajfgdjZS9/zq2bZtwlZXgb3IQVtD3lhhSwI+tcC+5q1+nzLUPe5qAPU0gau6ZJFx2LcnX3Ya3ro78J/4uC5gqkajrL0aTHE/l357GX2vDkBzBpCcvp+b7Q5R+epRYeH4KkiSx6qmDfPrQbgIBuPgyA088F4HB0LU412JJ6nH68Xnai9cBv0R1vgPouMOwYbcsEOuGp3cpBDr3yPmFxszubZ3ajGvukguL73wDpit8bnnuQ6nDECDn8JfsfOtBag6FnoWi0ugwRiQC4CoMPcdQEARMI8cCtMma6Qt0GSnoRqQj+QLkv9wzy9QTGXVrhqHSYaig0B2iSmDJ3ydhjNDSmFNJ7vNrux+kcMyxjEpg8pM/w5gWhb++gYq/PtPnf2uOZ0wnjSfu/ltQRVias/b+S1NezkBPa0giSRL1mzeQ//SjOPNyELQaIq9cTPTNl3WZV9g63uOl6vHX8FVUo4vp2ooUoPbHfLx1TZgitYyYFbzbxk85Ykfa1uK/pcPwiGDYbEna0mHoa+kw7JtiU4NBXhe4G9qK1pHDpwLgOLAHv/PIGtd68gz58fXb8Dvarn3Nc05GOywZn93F7geX4ncOvU6jyJMzMCRF4He4afy+/4Q7ldmI5Tw5xqBm1XIC3s6LQBUUBhOCIBAxbRbJV92EaDLiyS2i/E9P4M4tGuipKSgoKLRBEQwVgkYdYUGTHAcS1G0rHOjpoI1qFgxrTjzBUBAEzvntWAQRqtYeDPnnkXHTbASViHPnAZx7u19wq60WwhfPB6B65ech2wEJKhUxC84l8fKfI+r0BIzqDvP2OkKSAhhGjURtCSf6jPNCuu6xJnreWYSNnUhjeudfpfUZGhyO9p2cPp+bnbteJ8+xnW31K/AFul8kakVZAHJ3kLkRZk4gJnosSBLFmz7v9Bwp084neoRshVHx8TsUv/I/Dj/6ILaijrPb6gt2U7F7LU3VxUF1fkmShKOqkMINH7Pz7YfIWfkidXnbadj2Q+sxKqMJQ0o6Ze+9RunbL+G3N6COiyb2vhvx1dRT/dSbBFw+IqamM+mJyyn9ZHurWHj+Q7JY6PcFWPqnXXzztCzK3XaXmT//PRy1uvtOvjCLgKrZrbQjW9K6kiZ8ngCCRoU+ztLu+Zb8Qv3w9E6v4bfZ8RbJmxvGjOHdzulokq68kaSrbsKSPCqkca3XbukwVA8twVCSAvhcDppqS7s/uANMcenAEUvXUDk6x7Cv7Y0iLjkbgPIVe1p/fxSCQ2Vo7jB0eRTbKQWFILDE6rnoL3K2VMnH26hc3bfZrAo9Qx8fzqTHLidiShoBlyy6NKz4XskwChJdehLxf7wd7bBkAo4mil97BtuWjQM9rSGF11ZPyevPUfnp+0guD7oR6ST85W7CTp8elBOGFAhQ/ew7uA/mozLpGPfwhWjCuo5YaLEjzT4vCZWmZ1tPjlo3hzfKAt3RgqHkD2Db05wpni5nI7Zakka07TAUjnI+cdtrqcvfSX19fshzMbZakrYVDI2RiRgiE5H8/jYuLoZhWWjjEpDcHmyfrm4zRlCpiLn9SjRWI47DVRz414oh930giAJJF04CwL5yXb/ep1nmT0cVZcXXUE/9hu/67boKCn2BMXMEqTfejTY2Hn+9nfJHnqVxnRJfoaCgMHhQBEOFkGjNMdySP7AT4UiHoaPWg9974m0iJoyycPKlcm5XzpOrCfiCt/k0JkeSeN5EAOrf/SKom3vLglNRx8fgdzRS/fUXPZqzefQ4Um+5h4QlV9E4TI09TUAK+LtcHDVl6Yk950LS7/gNKsPgtVgM+Nvbfnmddg4se4rNO57F7W5rNaFW6xg+/FxEQU2lO49NtZ/g9nfddalTyQJQRx2GAJkZZ4Ig0lC8j4bSQx0eI4giqTOXEDt2tjxvpxMEAVNsGo3lueSvfQdbore1G7C88AeKf1jKvqX/YcebfyDnqxco37mahuIDNJQcbHPu/Z8/wfbX7mf/p49Rtfd7fK5GVCYz1mmziJwtZ9BIkoRt6yby//d3GvfsAFHEcs4c4n5/K40r12P75GsAki6czJg/nMuh/35N6dLtslj4pwlMuSAFT5OPt+7awuYPihAEePBhC3f+Kixo209BEAi3tuQYtq9IbbUjTYlEULX9Myn5AzTsbekwTOv0Gs49shCvi09CbQ4th1Cl1xOvHdmj/EJJChxlSTq0BEOzOR4AZ23nHbJdjo9Nl8cX5fdovGFYFqJOh99mx5Pft6KeLisN82y5+vzQ46uQ/Cfe36yeojYd6QqQXEoFuYJCMIw8LY7ZN2QCkPPvL2nMbW9lrtD/qM06xj18AQnnTJALMN/+nNrXlyL5Q7PqP1FRR1iI+93NGE+eAP4AFUvfo+KzDwj4FOvdrpAkCdu2TeT/71Gacg4gaNREXH4Ocb+9CU1seyeNzs5R9+ZnNG3Zg6BRMe5PizFndJ0B6Klrou4H2eZ98vkpPZ7/npXlBPwS5hFxGJMjWh+v31mMt64J0WRovSf3VTdbkrYKhvJ9w9GWpLbCPeSuepXiktBz91o6DL1NDfi9bYuWo7Lk+7yj3XgEQSCmueDV/vX6dnEg6igrkbdehaASqVpzgKJ3fwx5TgNN/BljUZt1+CpqcO7Y3/2APkLQarBeJNu61qz7Gr9Dsf1XGFpoI6NJvfFOTKPGgs9HzfPvUffecqVAUkFBYVCgCIYKIWEYJ1vr1W0uGPAKOE24AURZIHDUnpibiPNvH4ExQktTQQ1ln4UWmJ565TRURi2eglIcG7sfK6jVRF69GADbpnU05XYsSHWHNiqmjYByePcn7Pnw7xxc/gyHvnyWQyue59CKF8j56sU2nXKirusK1oGkbsNadr7/ZxyVbfM91Tojkt+P3+Nk/8FP2n1m4mInkJ19PRq1kQZfFRtqPsTuren0OmpB3jjvTDA0GqNJTjwFgOJNn3X6GRUEgeRTFpGQLYt4+P0cWv4sB5Y9Rc2hH7Hv2nbknMNHYswaJQspHhe2on2U/LiMQyueo2Dzx63Coj1NwCd6Cfg8CGo1YeMnkXjlDWT8+kFiF16APjEZb30tJa8+S8Un7xBwONGmJZHw4C8wnTqJyn+8QNPmXQhqkRG/OoOUS05ix6/fo+rbg6jUAhf+ZSJTLkyhyebhpRt+4MC3leh08PizEVx+lanrH1AHWCPk746OOgxbBcPU9vmFjvxq/E0eBL0OTUp8p+d39dCOtLf4PS5o/rkPNcHQZIoDwFXfQ8GwucPQXV5KwB1657moVmPMkrs6m7b2vVWcdcnZqMP0OHKrKPlkW/cDFAAQNCoEtXy7GnAqtqQKCsFy+h0jyTo1Gq8rwJ4Hl+K1K5+fwYCoVjH87tPJuPk0EKBx9UYq//tqv+Z/DWVErYboWy8n/ILTAbD9uJ6iF5/AW9f5/fOJjKu0mKIXnqDi43eQnC60GSkkPHQXljNnIYjBbwU1LF8r5/AJMOo3Z2PN7l4ArFy1j4BPImlsOHHDQy+CAzl6ZM1zchFe7Glt7UirvpHFKeOUcQhqNZLfj6+mHgBNhHwPb8wcQcqNd5Iy7fzWcWqDnF3o8ThCno9GY2h18GhnS5o5CQQBV3FBmzxt0/BRsu29P0BtB3Eg+pHDiLhiEQB5L35H7Y/5Ic9rIFEZtHIRBNDwVf9a75umTUSTmoDkdFPz7cp+vbaCQl8g6vQkXnYdkbPlv2kNX3wruy25T8z9TQUFhcGDIhgqhIRuRDqCRoW7yk5T/sAuzARRQNdsS2orH/hMxYHAGK7l9NtlQaL4te9wVwdfWae1Gkm97GQA6t9bTsDZ/UaFYUwW5jmyIFX+0dttMhp6gqemCtvWH3DbqrCXHqKh5CANxftpKN6HrWgvNlt+r87fX7jLS/A7Ginc8BFS4EiVuCCqSJ91KYKooqZmP0XF69qNtYanMWXyLRgMUbgCdjbUfcQh+w+UOXPwS0fErAP2DRQ7ZRGjK7E+LVXuHHTWlOB3d74QFgSB6FHTW//dVFOMoFZjmXIK+pT01scjTplF8tU3kfnbv5B68z3EnLkI06hxaGPi0ERGtzln/AWXkX7nb8m8/xESllyFecQYBJUKV2kx5R+9Rd7jf6Up9yCCRo31krOJ+/0tuA7mU/GnJ/AWlqGxGpj4jyVYJ6aw/e53aDxUiSlSy3UvTmPS4mTcDh+v3fojxTvrCbcKvPx2FAvOCl1I9vkk7Db5PQz427+XOevlDQDTsOh2z1WtlYVA3fC0TjdaJI8X5/bmTYyskR0e0xlVX31G1YrP2m1CBIuo0jBszhWMGL4IUVT36BwDhckoV6r7XA58rtCrhLXmCIbNvZL0O3+LoO1ZVk2rLemOvrfwU4WZsFwkW5MWvLlxSGbVDASCILTakiob6goKwSOqBC55dBLWJAOuMhs5T67ufpBCvyAIAilLpjL2/xYh6tW4dh2k4tEX8Df27r76REEQBKyLTyf2l9chmoy4S4rIf/qfNOzovwy1wY7k81G9ajmFz/0XV1G+fO998VnEP3ALmoSuOwN/iqeghPoPvgQg89a5xM4J7t62au0BACadnxza5I/ii0f30lDhwpASQcK5E1ofl/wBqtfJQqJxmuya46u1QSCAoFKhDpMjBVpiEIxRia1jNXpZvOysALM7xo+7krEX/QZDRNvCQY3RQvrsy0m/63404dY2z8WctQhUKlw7D3SYVWaeewrm2SeBBAf/vQK/c2iJBYmLs0EUcO/LxVfX0O3xfYUgikRcshAA25YN+JtCF4EVFAYaQRSJPn0h8RddAWoVTVv2UPH35/HbevYdpaCgoNAXKIKhQkiIOi360VkA1Gw4PMCzAUOyXD1YlXfiWlBMvTiV5PFWXHYfh55YFVLnZ/LFU9AnWvHXN2Bb+nVQYyIuW4g6LgpfQz0Vn77fq05TbVQM6bffR/ySq4i/+AriL/oZ8RdeTtz5lxG3+BIiZ87r8bn7k+jTz0HUG2iqLqZ815o2zxkiE0g+Ra4azcn9krq63HbjjcZopk6+lYiILAIBL4cdW9hh+4r6ZB2eUcl4RiWjik9oPjaG5KRpnc7F6ZSteNR6Mypd1513lXvlvAeVyUzU/LPJ+NUfiV98KbqYuHbHCioV+qQUImbMIelnPyf9jt+QdOUNbY7RxSehjY5FbK7yte/ZQdELT1D4zL9lex6fH93IYST8+W5M07Kp+u+r1L35GQGPj4iT0pnyzNWoTDq23/0OrnIbUalGbn5rBulTIvG6/bxxx+ZWsfD196OYPLVnotCqr1xUVQUwRWpJnxLR5rmKQ3YOb6xGECFu/ug2z/ndXso+l7txzbNP6vT8js27CTiaUIdbMQ7LCnpeUiCAbctG6tZ9g8/dsyIIUa0hMnNyl78jgxWVSotOFw6Ay9YzwTQyYxLayOig7Wl/ijFrJAgC3qLyY7LhYZ41FXVMJL4GF+Vf7urz8x+vqPSylZjkUURWBYVQMFq1XProJARR7vapWnuw+0EK/Ub0jOFM/OclqMP0eHKLqPjbc/jrlQ3CYDFMGEnCn+5ANzwNyeWm/MM3KfvwTfyuE7ub1lVaTMGz/6H225UQCGA8eQKJj95H+LlzEFpCvINE8vupefkjCEhEzx5B8oWTgxrna3TTeEB2jBh5WmzIrwEg78cadn5RiiDA6PvPQW3StT7XcKAcr82JaNSjHzlMvmaFfO+oiYzusntSFy4XBDa5avD5Qi9EslrT0VtjEcT272VU1hS0ke1tXrVRMYSNO5L191MEQSDiykWooiNwVzVS8MbQyufUx1oIy5J/zq59/btHpB+bJXcZen1KrqnCkMYycQop19yKaDLiyS2i7KGn8JRUDPS0FBQUTlAUwVAhZAyTxgBQPQgEQ2OKvNlflXfiVpOJKoHz/zQeUS1Qsy6H6u+CtwoVtWqybpdFuYavvsdT3L0VoKjXEX3zZaASadyzg4Ztvcta0EbFYBk/CcuEKVgmTsWSfRLhk08mfMo0zKPG9urcoRDweNrYx4SCOsxC7MLzASjbtgJnXdv3MWb0DCKzpoAUYNeBd3C5bO3OodEYyZ5wLVmZC0lNmU24JRVJOuJfnxA/hVkzfs8pJ92NwdDeKrMFlUpLZOZkIjImdimaSFKA2sNysHbsuRcRddoCVCZzKC+7Q/yORmq/X03efx+h7N1XcRbmgUrEOC2b+D/+gvjf3Ywnv4SKP/4b154cRJ2arDvmM/6RC3FV2Njz67fw1DqIHxHGDa9NJzLZiN8b4J1fbiVvUw0ms8ALr0cyYqSm+8l0wpuvyhX8Uy9KQa1tu9hf/0YeAFEzhqOPD2/zXOWqfXhtTlRRVoyTx3R6/sZv5MVq+JTpIdk9eWuqCDidCCo1hsiEoMcdT7Rkw/S0w7K3qE1mdIlyJbxrd99vrAsqFZaz5S7govc3h5Q9eyIj6uRuWUUwVFAInZSJEcz6uZxnmP/ECjx1ShfbYMIyKoHsf1+KNtKEt7ic8r8+05rDptA96ugI4n57E+Hnnw6CgH3HFgqf/ifOwvyBnlq/c3RXoaeiDDHMRPQvriDmtp+hjrD06Jz2levx5JegNusYfnvwhZz1O4oI+CWi0kxEJIZuke/3Bfj8kT0AxJ8zkbDhbYsZazfKBZj68SNbRVBfuex+pIk64hDiLMyjdt0a7KU5rY9pTVa05giQJBoaCkOeW0+JmD4LAMemnR0WpYlaDZFXyHmHxR9soalwaNnsWielAuDal9PNkX2LIAhYFswAoH7TeiUTVmFIY0jLIPWGu9BERuOvqaf8L0/j3Nu/nykFBQUFUARDhR5gyJYznuz7y/DUDaxQZ0yVN5dbMsdOVOJHWJh9g7wZdOiJVXgbgu9Oijp5GNEzsyAgUfv60qA6BnUZKVgvkPPvKpd/hKemqmcTHyRIkkTJmy+Q96+HKH3vNbz1tSGfI2ziVEwjxiD5/eR/925ba1JBIG3GxRgiE/G5Gtl34MMOzyEIIqkpM8nKPIspk2/BYjli4aPRGNBojN12ToWFJTJszhWkTr+wy+P8Hhf6jAxUYRZMIzoXv4LBW19L3Ya1FL30FIcffZDqrz7HZ6tDDDMRft48kv75W2JuuQx1XBRVz7xD9TNv42t0EzYyninPXEXS4mzqNhew5zfv4WrwkZodwfWvTCcsWo/fF+CD+3e0ZhY+83IE4yf2rLMQYNcOD5s2eFCr4aRL0to856h1s+PzEgCSL5rS5jlJkij+SBZYLQtmdFqh7Skqx32oAFQi4VNOCWluziI5A9MUnYKo6pmdqM/dRH3hHurq83o0fqAJt6QSlpCFStuzzFK/103tujWUf/R2j7ufTc05hs7dPctp7fb8M6cgWsy4K+1UfXPgmFzjeEOlCIYKCr1i3m3DiR8RRlOdh4P/XTngOeQKbTENiyb7v5ehj7fgq6ih/JFn8JZWDvS0hgyCSoX1/NOJu/9mVFFWvHW1FL34BBWff9jr+IShgCRJOA7tb99V+PA9mE4a3+PzeqtqsX2yAoCMm2ajjQw+M7xuq3xPmzW9vb1/MGx6t4CKQ3YM4RqGXTej3fM1zYKhYeKoI/Nt7jDURh6xXHUc2k/1ik+py9/ZZrw5Tu5KrLe1zZ8Phrq6XMq2rcRWvL/D531rtlP69ss4Dra1t9cnpmBIywB/APvqDR2ONU4ag2HiKCR/gENPrh5S39WtguHew/0+b+MpExHNRny2OhoP7OnXayso9DXaqBhSb7wTfeowJKeLyn+9RON3mwd6WgoKCicYimCoEDLqiHC06UkgHblZHyiMKXKnVfUJbEnawpybsojJMOOtayL32W9DGpt561xEnRr3gTwc67cFNcay8DR0I4chuT2UffDGkK7mcxUX4syTK7cad28n/4m/Ub1qOQF38DY1giAQu+hiRL2epqpCKna3/RmIai2Z86/FFJtO4ryuxbz+QK0zkrDkKjJ++QdETWjdepIk4a4opeabFRQ8/S/y/v0XqpZ/gjP/MEgS2rQkon5+Ecn/+i3Wi85A1OuwLVtD6W//RdPG7SAKpF01nezHLkMXbebws2vY8/uP8LoCDJ8Zw7XPnYzBoqG2qIkXrtnAruWlaDTwxHMRnHSKrtv5dcULT8tFDuPOTsKaYGjz3I/vF+JzBwgbEYdlbGKb5+q3F9GUX4PKoOnSjtTe3F1oHjW+NT8lWFxF+QCYYtO6PrCrc9RXcHjlS+w/8FGPzzGQZGacwYiFt2JNG9ej8YKoomblMhq2/4i3rmeV2abh8uaTa9cBpGPQAShqNVjOkDe/Ct/dhBQYOptBA4XYakk6tDJ9FBQGC2qtioseyUbV7EZR+XXf57Qq9A5DopXs/16GMTUSf62Nqr8/jTu/eKCnNaTQD08n8c93Y5qeDZKEbdM68h//G7atPyAFAt2OH4o05eVQ/OKTlLz+XLuuQpWl584hkt9PzUsfEHD5CJ+QTPzZoQmPdVtkIS5zWuiCYWONm1VPyi4Pydedhia87f26q6IBR24ViAKGCSNaH2+1JD2qw1Dy+QDaFeKZ4zMAsNnyQ55fbd0hSrd+ia2o4+9Re3kujft20bh/d7vnrNNll4nGb34g0EkRVMQV5yFoVNRvLaR6CNlIh49NQlCL+Gvq8VWFXnzbG0StBvNpJwNQ/8P3/XptBYVjgcpkJvmaWwgbPwn8AWpe/ID6j5WCLwUFhf5DEQwVeoRhkpztNdA5hsY0WTCsLWrC5z0+F4LBotaquOBP4xEEKF+xh9ot+UGP1cdZSLtCzjyre/cLAo7uOxQFUST6pksRTQbcJUXUrP6yp1MfcOo3yVkS+nEj0I3KQPL6qP12JXmP/5WG7ZuD3mTQWKzEnHU+CAJOQ3uxUWeJYuS5t6O3xmHL7J3w1RFudwPlEbVtrEy7I9Qsk6b8XIpffJKCp/5JzTcrcJeVgCCgGzmMiMvPJfEf95Hwpzswzz4JyeujfukqSn79d+rf/5KA3YEhOYJJj11O+jWnUvtDLj/+/GWK399CwC+RvSiJK56YisagYtunxTy7ZA1FO+oxhwn89+kIZs/tWddZCwX5Pr5aLufazLwuo81zPm+AH96RNzeSLprSrpOz7DM5u9AwfQqiseN5BFzuVsHdOnV6yPNztgqG6SGPbZ2Dv3ljRAjt53q8IKrUGKOaLUWb389Q0SenoTKZCTS5cB08Np2aYXOnoTJqacqvoXbTwBbeDAVEbUuHoW+AZ6KgMHRJGGVh7q3DAcj/30rcVUpW3mBDFx1G9n8uJWxEHF6bk6pHn8N1QPkbEQqiUU/0zZcRe98NaBJj8TsaqfjkXYpeeBxXadFAT6/PcBblU/zK0xS//D+chXkIGjVhZ84k8ZFf9qqrEOTCwNo3PsW9LxdRr2bELxeElA3tqmjAWVyHIMKwk9vn+XXHV//dj8vuwzw8loQOhMraH+TPhC4rDZX5SNejt1IuFNNGHi0YyqKcoGpbHBmeMpphc69izOglIc9PrZYFTL+n4/VyeLJceObI2d9uc988ahxqaySBxiYcGzou0tXERmFZOAeQnYNc5e2jLAYjKoMGy2g5UqG/cwwBwuZNk9fgeTm4K8r6/foKCn2NqNEQf/GVRJ4mO3vZlq6i9pWPh3ShvoKCwtBBEQwVeoQxW7YwrNtagN89cBZh2igzKqOWgF+itvDEzTFsIXVSJKdcLncnHfrPSvzO4H82yUumYkiJINDQSP3HK4Mao46yEnmt3C1X+/1qmvKGnr+6r9GOfU+zyHPhAuJ+cyMxt1+JOiYSv72B8o/eouj5x3EWB2dZY5l0Emm3/Zro0xd2+PzRC+489rB33/v4/X3zGSqv2M7ej/9J3pq3ujzOWVtGtSG0AG1XaTHFrz1H8UtPyrmEahWGiaPkTsLHHiD+dzdjOXMmmphI/I0O6j/8itJ7/4rt45UEHE0YkiIYed9ZTH3hGrSRJnb/4RP2PPgp7qpGIpINXPW/k7j4kWy8Tj/v3bedD+/fgaNRYvJUDZ98Gc38M3onFgK89KwDSYIRs2KIH9G2+2/3ijLsVW60USZiZo9o85ynzkH1Ovl3O2zOyZ2e37FxB5LLjSYqBsOwrJDm5nc58VTJPxNzLzoMW6xwBbFnlqaDBb/X3XNL0eb3r8XiNVQEUcQ0Uv4b59y6t0fn6A7RZMA0RxaVC9/edEyucTyh0su/zwGlw1BBoVfMuj6T5PFWXHYf+x/9UulwHoRowo1M+McSwiem4G/yUPWvl2ja3rH1oULnGMZkkfDQnVgvXYig1+IqLqTw2f9S8en7+JuG7prRVVpEyRsvUPT84zTlHgKVirD500l89D4iLz8XVVjwtqGdYf9qHY3f/AACjP7dORiTO89O74gWO9Lk8VYMltBcTIp21rH1Y7mzNuuO+Qiq9ttVHdmRSn5/a1ebJuqIJWmgWTAU1W3noTVZiczIxjUmNqT5AWhaBEN3x4KhOT4DQa3GV1+Ht7qttbAgikScMhOQ3+fO7nUt58xBm5aIt97Jrt9/jM8RvOvNQGLNPmJL2t+oj8qYV7oMFY4XBEEgev7ZxJ53MQgCjd9uourJNwi4lTWRgoLCsUURDBV6hCY1AVVkOAGXj/ptA1etKQhCqy3piZ5j2MKCu0YRHq/HVd5A3ivrgh4nalQMv30+APbVG/AUlAQ1znTSeEyzpoIkUf7hW0NuEW7b8gP4/GgzUtBlpMi/U1PHkfjwPViXnCVvMpQUUvTSU3iqu8+TEQQBXZxcXWlPEzrt9vO5myhY9wHlFdvYuv153O7eV4/WN+fWmaJTujyudOuXFDz5KHXru7eu9VRVUPruqxQ+82+acvaDSsQ89xSS/nEfsfdci3n2Sa2WR76aeureWUbZvX/D9tlq/E0ejOlRjL5/ISe9dC2x80ZR8uFWtt7wEjUbDiOqBWbfkMkdH5/GyNmx5G+p5cmLvmPX8lJUKrjr12Zeey+K5JTei1/VVX4+/kDOsZl1fWab5yRJYsPr8nuXuCgbUdO2O6/8y91I/gDazFS0qW2tSo8+R2OzHWn41OkIYmh/Xr11tagMRrTmSDTG0KxM28yjpcNQHJodhoGAn51vP8T21+7H5+rZd3qLYOjqoWAIsqUsQNPWPcfM+iXsjBkIGhUNe0qx7VJs57pC1LVYkioZhgoKvUGlFrnokYloDCrqtxVS9K5SsDAYUZt0jH/kAqKmZxDw+Kh+4jUcG7cP9LSGHIJaTfjZs0n8668xTsuWbUo3byD3sb9Q9dVn+OwNAz3FoPC7nNT/uJ6CZ/5D4TP/wXFwL4gi5tlTSfr7r4m8ajHqiJ7fOx5N07a91L3zOQAZN51G9IzQCuDgiGAYqh1pICDx+cNy/lzcGWMJH9P+ntvv8lK/Xd57OFow9NXUgz+AoFajtoS3Pt6ZJWlvUKvlIsbOOgxVGh3mWNnJxHGovdhvmXwKgk6Lt6Si0048Uash5u5rUFnDaMqvYd/Dy5D8g99NqTXHcF//5xgChJ1+KgANOzefEPmlCicO1pNOJeHSa0CtxrltH5X/eBF/o/I7rqCgcOxQBEOFHiEIAobsZlvSjQNsS6oIhm3QmdQsflDe7C79eAsN+4O35IiYkkbMaSMgIFHz6idBW3FGXnEe6rgofA31lL77auvibLAj+f3YNq8HIGx+WwtJQash/Jw5JP3tXnQjh4HPR+XnH4W0+PHU1rDny8ewl7X/jKh1RjJPvw6VzojdXsyPW/6HzVbY89ciBbDZ5AW6OSGj0+N87ibqi+XMDWPWyE6P8zc5KP/4HfKffJTGPTtAEDBNzybxkV8Sdc0FqCOOLMY9xeVUPfMOpfc9SsOX3+F3ejFnxjDmwUVMfe4aYuaOonpdDltueo3c59fidfpJmxLJLz6YxRl3j0JUC6x8bD8vXbcBW5mT1DQVb30Uxa13hqFWB2+B1BWvv+zA44bkCVbSp7StlC7cVkfJHhtqnUjCORPaPCcFJMqW7QK67i705BXjKSgFtZrwSZ1nHHaGPiGJjN88xKhFd4U89miGuiWpKKpQ+eWfubuhukfnaOnQdFeU9rgjzZg5HEGrwV9rk3+uxwC11YJpxhQACt/58Zhc43hB1LVYkiqCoYJCb4kZZubc340FoOCVddj2HpvvOIXeodJpGPPgImJPH43kD1D97DvYV28c6GkNSdQRFmJuuYy4396EJjkeyemm7vtvyP3Pnylf+m6rw8NgQpIkmvJzKfvwTXL/8SCVn32Au7QIVCpM0yfJ9+M/vxh1dESfXdNTUErNs2+DBAnnTCD54imhzzsgUb9NXs9kTg9NMNz6UREle2zozGoybpjV4TH12wsJeHyooqxokuJaH/eVN+cXRka3KdqTvC2WpO0FQ7e9lrLtX5Nf8E1I81Rr5A5DXycdhtDWlvSnqAwGwrPlNYV9ReedcOqIcGLuugZRq6Z2Ux6Hn+2+0HOgsYyKR9SpCTQ04i3tvtC2r9GNykCTHIfk8dKwVSmIUTi+CBszgZRrbkE06nHnFFD+8NP4qusGeloKCgrHKYpgqNBjjNlHcgwH0tLImCpv/lcqgmErI2bFMvGcRKQAHPjnCgLe4H3OM2+dg8qoxZNbhH1lcB2Kol5HzO1XIui1OPNyqPjsgyERyNx4YA8+Wz1imKnTvA+VNYyo6y8GtZqm3IPUfbcq6PPXrfsGd2kxOWtexWWrave8JXE4oxfdjT4iHo/HztYdz1NWvrVHr6Wyajc+vwtRo8MY2XEXHEBtzhbw+9HFJ6GLje/0uPKP3qZh2yaQJAyTxpDw0F1E33wZmri2i3/XoXwqHnqSpo3bkfwBrNkpjHv4AiY/cxUxs4YjiALFH25h70Of0VRYi9Gq4YI/T+CGV6YRlxUGwPK/7+Xb5w8TCMCFlxj4aHk0Eydpe/Q+dERujo/XX5Yr8Gb/PLONLWwgIPH1kwcBiJ43Fq3V2GZs1dqDuMptiEY9xpPbiolHY/+6WXgem43K2DM7KEEQ0BjMPRrbwvFgSWowyHk3HX1mgkFjsspdmoFAj/OKRI0WU6a82ePcdmxsSQEsZ88GUaD2h1wac3v2ek8EVIpgqKDQp0y+IJkJCxMJ+CX2/205ASUfdFAiqlWMuu9sEhdngwS1r32CfdWGgZ7WkEU/KoOEh+4k5q6r0Q1PA5+fhi0/kP/E3yl+/TkcOQcGfP0S8Hpp3L+H4peeovilJ7Hv2ILk9aFJiiPi8nNI/s/viL75UjTxoYlx3SF5vFQ99SYBlxfr5FSy7pgXUm5hC87SOrz1spBmjgo+r93T5GPl4wcASL5qJtrIju+lazbIdqTG7NFt5uetaBYMo9q+L111GHqbbJRuWU5R8fqQfu5qVXOHobdzwdCSLBdlOvMPE/C2v3exTpMFUeeO/XibrVQ7QjcsmcgbLgGg5KOtVH9/KOh5DgSiVk34uCQA3Pv7P39VEATCTp8BQP3mDQP+eVZQ6GsMaRmk/PxO1BYrvrIqyh9+Gk/J4Ct6UVBQGPoogqFCj9GPzkQw6PHUOLDtCc6+8lhgypBzCsr2DQ1bmf5i4W/HYorU0pRfQ/H7m4Mep4sOI+Om2QDYPlwRdHWgNiWBmNuuAEGgYdsm6r5f3aN59ye2TbIgaj7tJARt5xkbmtgoIi49G4Dqr7+g/sf1QZ0/5sxF6BJTCDQ5yFnxPF5ne1FbZ4li1Hl3Yk0bjxTws2//BxzK+SLoBY6toYgdO19lz9535GuOPhWhEzvKgN9H+a41AIRPndbpOZvycmS7I5VI3G9uJPauq9GmtBcXvaWV1Dz+CgGPD2t2CpOfvpKJ/7yEqFMyWhfxNZvyyHtOrog99eph3PPFXKZckNL6fOH2Oja9K3dG/vVf4TzyTytmc9/9abI3BLjthlqaHBLpUyMZNS+uzfOb3i0gb1MNGr1I6mVtOwN9TR4OP7MGgLAzZiLqOhYxfTX1OH7YAUDEtJl9Nvee0Lp50okV7lDAaJQFw552GAqCgCkmDUQRb13nmzDd0ZpjuOtgj8/RHZq4aIxT5WKFwrd+OGbXGeoIavk7TfIFX/yioKDQOYIgsOiP4wiL1eEqrafoPaXLebAiiAJZt88j5TK5I6n29aU0fr9lgGc1dBFEEeOkMcQ/cCtxD9yCYdIYEASaDu2n5LVnyfvPw1Qu+0gWD/vJMcXvbKJhxxZK332Vw3//I6VvvYizIBfUKsyzTyL+j78g4S93YzlzVmsMQF9jW/4tvsoatFFmxv7xPER1z5wq9HHhmNJl0e61WzfRUOHqdkzAL/HFP/bhqPWgTwiXBfIOkCSpw/xCAG+ZXHSljW6bSRi9YCFJ19yCJXl0u/MZo1MQ1Vq8XgcOR/Ab7i1xE2IXxXl6axwakxVdfBJ+h73d89qoGIwZwwFoal5DdIbp5AlYFp4GwKEnVw/6PENj889/oDqfTKdMBLUab03VoOweVlDoLbrYeFJuvANtTBz+ugYqHnkGd07PnaoUFBQUOkIRDBV6jKBRtwZLV605MGDzCBshCwDVeY14mpQK6RZMEVrOvldeHBW9uR5nWfAZeQnnTCBiSpqcm/LC+0j+4DZpDRNGEnnFIgCqVy7Dvndn6BPvJzxVFTTlHgJBIGxu5+JZC5YFM7CcOxeAys8/xL57e7djRK2WpCtvQG2NxG2v4fDKFwn42lskqjQ6MuZfTcKkBQB4I7Uccm1iy7ZnKShci8NR0amAWGd1UFN7ABCIzJxM0pSzO51P7eEteB31qMIsWCZ1bK8pSRLVK+XsEvNpJ6Mfndnhcb66Bir+9RI+u4uwUQmM+8sFhA1vK8Y5Cmo49MinSAGYcmEKZ987GoPliDDr9wZY+qddSBJcsMTABUuMP71Mr/D7JX59Zz35uX7C4/Vc9q/JiOKRauTqAgcr/i1bBaXdMAdDUltbp/xX1+OpbkQdG0V480K9Ixq+XAv+AIZhWeiTUkOeZ8DrJe+xv1Lyxgsd/n6EgjE6hZTpF5CcPKNX5xlIDAZ5o6GngiFA6qkXkvXAX3tkD9tCi2WvJ68Yf+Oxy2YNP0/+Xqn69gBNhTXH7DpDmZZc0aFid62gMBTQmzWc/Wv5Pr747Y24ynufpaxwbBAEgWHXzyTpgkkA1Lz0AY4fdw3wrIY++uHpxN51NYl/+xVhC05F0Gvx1ddS/8P3lLz2LIf//gdK330V27Yf8Tn6zskm4PPhriil7ofvKH7laQ4/+kfKP3yTxj07kDxuVFYLYWfOJOkf9xH184taM9aPFd7KGuzL1gCQectpqM36Hp9L1KgY//eL0CdaqSt28vKNP+Co7Vzg8rr8vPOrrWx+X97szrhxdqdiZeOhSjw1jQg6LfpRbeMXWgpcdTFtCxx1cYmYMkegNYXzU0SVGnPcMADq6oKPWDGb4xm9+B6Gzb2q02MEQWD8JfeTetNdaKyRHR4TNl7+PDs2bu+2UDT8/NNRx0XhqW4k76XObUwHA7ro5mz7uoH5myIadBjGyOvXxn3K96TC8YkmPIKU629Hn5JOwOGk4h8v4NybM9DTUlBQOI5QBEOFXmFqtuir/u7QgAVxayNNaKPMSBKU7Ve6DI9m4rlJDDs5Cp87QM6Tq4PuWhMEgZG/PhOVSYcnt4iGL9YGfc2w06e3Bo6Xf/QmrpKeWQIea+qbuwsN2aNRR1mDGmO96AzMc08BSaLswzc7DLL/KWpzGMlX3YhoMOCoKiRvzVsdZkMKgkji5LMYsfA2Eqecja1wDzZbAYdzv+SHHx9jww//4uChz8g5vJzi4g3YMnXYMnVY08YRP/F0xi75LcPmXNFpd6EUCFC+Q+76jDh1DqKm447Kxn27cBUXImg1WBfN7/CYQJOLyn+/hL+mHkNSBOMfPh+Vvu35vA1O9vzxE9yNPtImR3DeH8a12+z4/pVcKg7ZiYgUue/3lm7fy1B5/F92vl3tRqeDnz02tY01UsAv8dEDO/A6/VgnpZK4KLvN2MbDlZR8LNvDRl61uNMOVH9DI43fyp0ZUbNP79E8vbVVeGuqcOXnIag673QNBn14DLFjZhIT3b6SeqjQaknaC8FQY7R0+jse9DksVrSx8SBJuHYfuwWYNiUBw+QxIEGB0mXYIYKq+XZ1gO4zFBSOV8afnXDkPvHpNQM9HYUuEASBzFvnEn/2ODlr/Nm3ce7o/j5UoXs0cdFEXrGI5Md+T8ydV2GePRXRYibgdtO4ZwcVH79N7qMPkvefv1D8yjNUfPo+td9/g33vTtzlpfhdLgJuN36nE7+jEZ+9Aa+tDm9dDa6yEhp2bqX66y8offtl8h7/Gzl/+S0FT/2TqmUfy8WL/gCapDgs584l/o+/IOnfvyXy8nPb5IUfS+re+lx2C5mUSsyczvPNg0UXZWbioxejizFTldvIKzdvwmVvb8vZVO/h5Rt/YO/X5ag0IqN/fy4xs0d0et6aDbKopx83vN19eYtgqI2JazeuK8IS5S6/2vrgBUOVSosxOhlTTEqXx3W2JmvBPGaC3AlXXIH7UEGXx4paDZHXXABA6afbaRjE2bMtgqG/duCKUAyT5Zzexv27B2wOCgrHGpXRRPI1N2PMGI7k9lD571do2q7cFygoKPQNQzfkSGFQoB+bhWjU46l1YNtdgnVi1zfOxwrz8Fhqaxop3WsjbXLHVXwnIoIgsOj343jywrXU/pBLzbocomcOD2qsLiaMrF/M5cCjX2JbuhJD9ii0KQlBjY24/By8lTW4dh6g5K0XSb3pbjTh1l68kr4l4HZj2ymLPGHzu+8ubEEQBCKvWkzA4aRp005K332Z5KtvwZA6rMtx2pg4Ei+/npLXnqG+YBdl21eSOPnMDo8NS5ArItNmXYqtaB+2or3YSw/hctVSXCLn1miM4YwPzEIQVQiiiqSpnXcVtuBurMWPD9FgxDp1eofHSH4/1V9/Ic/jzJmorGHtj5Ekqp99B29ROZoII+P/eiGacONPzhNg718+x1lSjzXRwOX/mYJa07Y+pabQwdpn5M7k3/4hjIiIvq1f+Xypk2eflLvCFj2UTdLYtpsu617NpXB7HTqTmpG/PhPhqM5DKSBx6LGvISBhPGk8hvGdb140fPU9kseLPikVQ0Zwn62f4qmWbZT04THHtIJ8qGA0HLEklSRpQN8T0/BReCrLce46gGnaxGN2nfBF83Bu3Uvl6v2kXzW9XbfriY6gUSxJFRSOBYIgcO79Y3nq4u+oWZdDzaY8ok7u+p5GYeAQRIERdy/A7/JS9c0Bqp96g5h7ruvUDUIhNESdFuPksRgnjyUyEMCTX4Jz+z6atu/DW1iGt65Wtjrvg2g2waBHm5qAMXs0hslj2mWE9xdN2/bi3L4PQSWSdXvPcgs7Qh8fzoRHl7D3V29Stq+B1277kWufPRmtUd5+qi1u4rVbN1Gd50BvUTPywQu73Ueo2SiLesbstkVx/kYHgQa5A/SnlqQNO7cQcLvRmcZ02GVoSRxOCVBfn0cg4EfsRuTrCX6XC1GrRRDbrnVUBiPhE6di27KRhuXfoh+R3uV5DGOyMM2YjGPdVg7+ZyWTn76yx9axxxJdjLx+9NcNXCG3MXs0tYKAu6QIb0M9Got1wOYyFJACAVzFhTQe2I2vrpaAx0PA60HyeAh43MScfT6mZucVd3kpdRu+RR0egSbcKv+/NQJNZHS733GFY4+o1ZF4xQ2Uvf8ajv17qHriNaJvvqy1sUNBQUGhpyiCoUKvENRqDFPG4vhuC1XfHhgwwTBseBy1G3MpVXIM2xGTYWbmdRl8+/xhcp5aTcSUNFSGjrPYfkrcgjFUf3+ImvWHqX7uPRIe/AWCuvuvDUGlIubWyyl/+Gm8xRWUvvkiKdffjqjTdTu2P2jYuQXJ6UYdF41+TFZIYwVRJPqmS6h0unDtOkjJW8+Tct3t6OISuxxnTM8g/sKfUfv9NxhOPxW6iVbThUUSO2YGsWNm4Pe6sZceor5wD36Pi6isKRDigl5viWbY3ffjrirv9OfQsP1HvNWViGYj4Wd3bMFpX7kO5479CBoV4x++EEOitd0xh59eQ/3WQrQGFVc+0bazD2TR8dOHduN2w/QZWhZdaAjptXTHF586+c3d9QDMuGYYE89JavN8RY6dr5+Qc+nSbpmHPq5td2P5l7to2FuGyqAh4mfndnqdgMOJfZUs4kbOPr3HmyyeqmYbpfDYbo7sHr/HRVNNCZLNjzU8rdfnGwgMhkjMCZnow6KR/D4Edc86BRs/+Yqast1ELzindZEbKqasUdStW4Nr96FjKl7q0pMxTBiJc+cBCt/6gZH3nnVMrjNUEZs7DIO1x1ZQUAieuKwwpl+RzrpX8zj81Goisq9B1CpLxMGKoBIZ9ZuzCbi81GzIpeqxV4j99Y3oskK3RFfoHEEU0WWkoMtIwXrhGfhtdrzl1fgqa/BW1uCrrMVXWYOvsoaAw/mTwQKoRARRRNBp0STEoEmMlf+XFIcmMQ6VNWzAi8R8NfXUv/o+AEkXTcaUFtWn5zemRDLqr5ey5963KdxWx5t3buHKp6ZSmdPI67f9SGONG11MGOP+emFr7mFnuKvsNB6qBKGD/MJSufBObY1ot8apWbMSb3Ul1oW3dSgYGqISUWkN+D1O7PYSwsO7/xzV1+dTsaMYY3QKlqTOiwoByp55GntZDqk33dVhbEHEqadh27IR57Z9eMuq0CTEdHm+iMvOwb1rL468agrf+oH0q0/tdr79TYtg6KuzDVjhn8oahi4zBXdOIY79e7CePHSjGvqD+k3rqPri406f9x9lyeyuKKVhW/vcY0Grw5CcRuTs+a35nAr9g6jRkHjptZR/9Bb2XduofvptJJcb8+yeR3MoKCgoKKtBhV5jmjoex3dbqF6XQ9bt89t06vQX5uYcw9K9Sv5KR5x203B2fFFKfUkj+a9tIPPmzvPYjkYQBEbcs4Afd5fgLSrDtnQ11ovOCGqsaNATe/e1lD30FO7yEso+eIPEy65FUA1sJaQkSa12pGHzpvWoEk5Qq4m5/Uoq//Ei7pwCil97jrRbfok6rGtbzbBx2ZjHTEAQRexhYM6X7fW6W0ipNLL1qDVtXMhzbcGeJiCgRp+Q3OHzAa+Hmm9WAHKmmmhsn1/iKSih/v3lgJxx0pIfejRly3ZS8sk2AC7+azbxI9u/JzuWlXJ4YzVaHTz4SHifLiQ/+0QWCwMBmLQ4mTN/2bYK2dPk4/37tuH3Bog8JYP4s9q+p15bE7nPfweA5fwzurSDsq/agOR0o42NxzRyTI/n7KmRBUO9tfeCobO+goNf/A+9PoJTp93b6/MNBKKo5uSR12PL7F2BgctWhbusGFdRfo8FQ31aBoJGK28UFpWhTe26MKA3hC+aj3PnASq+3kfaVdPRx/ePFdlQoKXDEKXDUEHhmDDvthHs/KIUe0k9Re9vJu2K4N0XFPofUa1izB/OY9cDH1O/rZDq/75IzL03o007dn+jTnRU4WGowsNgZPsO3IBbzp8WVCKI4pDosgl4vFQ98TreeifmzJhjJjyZM2MZ/Zcl7PnNexzeWM2rN2+idI8Nj9OPKSOG8Y9cgC66vaPJT6nZKLd16jJTUVnMbZ7zllYAoI1uvy5pyT4WVB1vewmCSFhiFg3FB3C66oISDGvrcigpWE3MqFO7FQxFlQYkiab83A4FQ21MHKZRY3Hs30PDl98Rdd2FXZ5PFWYi/LLF1Dz3LgWvbcCQFEHc/MEVQ6CNNMn/4fMTsDva/bz6C8PksbhzCmnct1sRDI+iKfcQts0bMI8e35qjaRoxmpqVywlPGY0pJhWVRoeo1iJqdKjUWvS6ODQFcrSNOpCIOOVsPI56PI11eBrr8TTWEvC4aco9SMTMuW2uZd+1DePwUZgyRw6a4vHjEUGlIv6iKxC1OmxbNlLz0ocE3B4sC5TffQUFhZ4x+O9mFQY9+jFZCHodnhoH9v1lAzKHsOHyRnvlYTsep7Kh+FO0BhXn3S97+Zd+tIXG3Krgx0aYGHH3AgBsy77BnRt8JqE6OoLYu65G0KhxHNhD6buvEvC2z7DoT5wFeXgqyhC0Gswzp/T4PKJOS8w916BJjMVvb6D07ZeCem1HbyIUFq4mf+3b+L3uHs+jOyRJwla4t9vOnPqN3+NrsKGKshI2t/1GYcDlpup/byN5/UTNyGqX+QdQuzmfnMe/BuD0O0Yw5vT4dsc02Twsf3QvALfdaSZ9WN/VrXzyQVOrWDjlwhQu+PMERNVRVqOSxEd/2En5QTumSC0jfrmgnViZ+9xafHYXmpSE1izOjgi4PTSslIXnyNnze7U55KluFgzDu64qDoYWKyUpoHwPtmTL9CZHVVSrMQ6Tu5Cduw/1ybw6Q5eVin7scCR/gMJ3Nh3Taw01BLXSYaigcCzRmdSc9Wt507nk7Q24KhTHjsGOqFUz7qHzsYxNxNfopvo/z+MpqRjoaZ2QiDotok6LoFYPCbFQkiRqX/0YT34JaouesX9a3C6LvC+xjElk1EMXotaK5G+uxdOcH57970uDEgvhSH6hIbu9ONaSX6iL7UAw9MuCodiJYAiQeupFTLzyz8THBWc97/fL6zZR2734YY7PAMBZ0HlGYsSpssDSuG4rfpu9+3OeOomwM2cCcOAfX1K3pev8w/5G1KjQRMhxFf66gSvmNk6Wizmb8nPwu5zdHH38E/D5qFz+CcWvPI1993Yadm0jrEAirEAiyh5F9pUPkTH3SuLGzSZ65ClEZk7CmjqGsMQsNIYjn1NDZAIJ2aeTNuNihp95I2Mvupfsqx5m9AW/InXGxcRIqYQ1i4uOQ/uxbdlI2TuvcPjvf6Dk9eep/3E93ob6AXoXjm8EUSR20RIiTpWbA+re/Azbp6sHeFYKCgpDlcF/R6sw6BE06lZrkOp1OQMyB22UGU2EESkA5QeUTY6OGHlaHGNOjyfgl/PZpIAU9NiY2SOInTsKAhI1L7xPwBO86KfLTCX6tp+BWo1j/25KXn9uQG/abZu+B8A0LRvR1DsrTJXJSMzd1yCaDLiKC6n87AMkKbj31ddgo+abFdTmbGH/p4/hrCvv1Vw6o/rARnJWvkjB0//qdLPd72yidp0s9FkvWICgbb9pUPv6UnwV1ehizIz81RnthLbGw5Uc/PNSAn6JiecmcdpNHVu9fvnPfThqPQwfoebnN/ddxemH7zbxu1/ZCATgpCWpLP6/8Yg/6XZe+8Jhdq8oQ1QLZP3hAnRRba9ft6WA8hV7AIi65vwuu2Eb12wiYHegiYgibGx2j+ctSRLeVsGw9x2GLRXUAcnX63MNNAGfB6+zsfsDO8EYI1dyu0oKg/5cdnie4XJ3onPXgR6fI1jCF80DoPzL3bgqlb9lLbRk9CiCoYLCsWPCwkTSp0bidQXIeXJVr743FfoHlUHD+IcvxDw8Fm+9k8p/vIC3vHqgp6UwyLGvXIdj3VYQBcb84bx+cTSImJTKqD8uQmM1En/2OMY/ciFqc3DdRn6nl7pthUDXgqE2JvQOQwCNIQxRpQ7a2cLncwGg0rR3Y/kpYa2CYS5SINDhMYa0YeiTU8Hnw/71hqDmEHHpQownT0DyBdjzf0uxHxpcxQKttqS1AycYauJjUCfEgN+P49D+AZvHYMBTXUnRc49Rv2EtANEjTiFlxPw2xwi9yO8URBFjZCIxo6aj0sqfi7ACiVjrGGLHzkIbFonk8+E4tI/Kzz4g758PUfDMv/E1di+QK4SGIAhEn7mIyDmyK1j9R19R//FK5Z5OQUEhZBTBUKFPME6Ru9eqv88ZkD9GgiAQNlyxJe2Ohb8Zg9agomFPKWVf7AppbNYd89BGmvCWVlL/3vKQxhonjSHu1z9H0Otw5h+m+KX/DUhlmbe+Dvu+nQCEzZ/eJ+fUxEbJgqgo0rD9R2rXrgpqnNoSTtI1t6AKs+Cqr2DfZ49Rm7utT+bUQkPxAYo2ynkElolTOhXA6tZ/S6DJhSY5DtOpk9o979yxv3VjYdT956CxtBVaAx4fu3//CW6Hj2EnRXLBnyd0aDNaus/G1o+LAbjvDxa02t5bkQYCEs882cgD99qQJDjl8jQW/XFcO7Fw91dlfP24LPhk/mI+1vFtrVm9NicH/iVbsobNn44uq/P8P8njpeFLecEVMWter2x2A243muhYRIMBnaXr/JZgaFnsBYZ4h2FJyQ9se/V3FG34qMfnMEYmgijidzTis9X1+DymLLkgxn2wgIDr2HUDA+hHDkM3KgPJF6D4vc3H9FpDiZYOQ8WSVEHh2CEIAov+MA6VWqBmQy7V3w9MEaBCaKjNOib87WJMw6Lx19upePR5fHVKwYlCx7hzCql7ZxkAmTefRsSk/su+jJqWyfT3b2Hkr85E1AR/71y3tQDJ60cVHYEmqb0o2KVg2NJhKHbvaCJJEoFA9wV3vuYOwxZhpCuM0cmIai0BpxNPZcfFoYIgEDFD7jK0r97YanHbFYIoEn3jJehGZeB3etn9wMd46hzdjusvWooy/QP8XWScLO9ROfaFtu9xPNGUl0PB0//GXV6CaDSRueDnpM26BFPMsf/sm+MzSJl2PuOW3M+YC+8lcepCTDFpIAj4GxtRmY4U77orSgn4hn7B62BAEASi551F9BnnAmBbugqbIhoqKCiEiCIYKvQJhvEjEbVqnCV1NOZUDsgcwkbJ9ocF23q+MXy8Y00wMP8OOWuh4NnVOEvrgx6rsRgY8Su5Usn+9XocG3eEdG39qAzif3cTosWMu7yEoucew1VWEtI5ekPA46bs/dfBH0A3clif5rwYxg4n4vJzAKhZ9QV1678NapwxPZO0W3+FMXMEktdD3jdvULJlOZLUcQVqKNTmbufQ1y8i+f2YR48nYua8To91HJQtQi0L53RopdRiQxs7d1Q7oQ0g4PXjqZErBM+9fxxqTcd/WiS/RIuO+Off29i+tfsFcVfk5/m45bo6/vuofO1TrxrGufePbSdW7l1Vznv3bUOSIOHciSSe19ZySPIH2PuXz3FX2lHHRmFdclaX1234ej3+ugbUFiuW7N6Fiav0etJuvofsy//cpV1SsIhquTs0EBhY69/eotPJ1e4uW/D2yT9FVGswRCTI5ykt7vF5tFExqK2R4PfjPnTsbZ/Cz5M3jcpX7MbnOLYC5VBBULVYkvb+u1FBQaFzYjPDmPnzTAAK3tigbC4NETThBiY8ejGGlAj8tTaqHn8tJDcQhRMDSZKofftzCEjEzB1J0oWT+30OPcktr9ko23kas0e3Gx9ocuFv7mLrWDCUC426K+6rzd3Ong/+xuHcFd3Op8nRLFAau+/MFERVqzDjKins9Djz6PGorREEHE04t+3r9rwguzzF3nk1msRYPLUODj02eDrDRW2zM8QAC0CGbLnoryn3UKcdnsczntpqSt9+CcnrwZyQydhFv8KaOrbf5yEIAoaIeBImzmfUojuZcNkfyZx9JZbmj4Tk81H8yjPk/fNPVH25FHcn4rpCaETOnEfMmYsAsH26GtsnXw/wjBQUFIYSimCo0CeIBh36bNknvnJ1cDe5fU14s5BRsLV20NwsD0amXzGM9KmReJx+9v31i5A2YKNOySDl8pMBqH3l/ZCzUrRpScT/4TY0ibH4GmwUvfQEjQf2hnSOniD5fJS+8yquonxEo56oa7sOlO8JlgUzCD//dACqvlxK/aZ1QY1Tm8NIuuomImbMAaB8+9cc+PxJPI09F76r9q0nb80b4PdjHpdN/JKrOl2gB7xe3JVy9qh+eMdddYJaFrJEbceCltqkwzxSFmaKdnQ+76RxVn7+0jTC4/UUFvi54qIanvqvHZ8v+M+rxyOx/DMn115Ww1mnVbH2Gzc6HVzw0ATOvq/9RsL+NRW8+6utBHwSsfNHM/yO9sLp4efWUr+tEFGvIeaOqxD1nVsS+Rsd2D77BoCo+Wcjqvsmg7EnGygdIarluUtSIKgq6cGK0Sh3W7obqnsloBujkuTz9EIwBFncB3AdyO3VeYJBPyZLzkZ1eqlYeey/H4cCRz4fyt92BYVjzYxrhqE1qHAcrqJu8+DKxlLoHG2EifF/uQB1mB5PXjE1L32orIcU2tD04y48h+X73cxb5vTZveexxNfoovIb2SGkxdHoaLyl8lpUbQlHZTC2eU6SJGgRDLuxWxRFFe6Gaqqq93b5ufF6nTiaZMHQFJce1GswRMpFqu6Ksk6PEUQRy4QpADg2BO84Ixr1RN98GYJKpPr7Q1StOfb2+cHgbZBtW0WzaUDnoRuWjKDV4G9y4Kk68UQoTXgE5rETMccNY/gZN6I1HXv74WDQGC2Y44YBsnWpZk81oiTib3JQt/5bCp58lMIXnsC+Z8cJKfT2JREz5hwRDZeuov7jlQM8IwUFhaGCIhgq9BmmaXLXTuXqAwPSBWAZnYCoFmiocFFXMjiDrQN+ic0fFrJvdTle18BYq4kqgYv/mo3OrMa+r4zCt38Iafywa2dgnZxKwOWj6onXCTS5QhqviYkk/oFb0Y/JQnJ7KH3rRerWf3vMbgalQIDyj9+mKWc/glZD7C+vQ5MQc0yuFb54PpZz5wBQ+fmH2LZsDGqcIIrEnLmI+AsvR1CpcFQWsOv9R8hb82bIYknF7rUUrv8QJInwk04l4eIruxS13OWl4A8ghplQRUd0fFBLflgXdoCRJ6UDcGhd1x1hw06K4vaPZjNhYSJ+Pzzx70auWlJDcWHX4lZRgY9//bWBudMquecX9Wxc70EQYMSsGG58axZTLkxpt/FxYG0lb9+zFb9PrqQedd9ZrZ1KLZR/tYeSD7cAEHXDpWhT4ruch23paiSnC118IpaJU7o8diBQabSt/+33966DcyDR6yMQBFHOMXT03GbaFJ2CJiISQdM+lzMUDM2CoftAXq/OEwyCIGCeNw2A0k+3Kxu+AIpeqKDQbxjDtUxdInfEFL6zaYBnoxAKhqQIxjx4HoJKpGnjdho+XzPQU1IYJEg+H/XvfwlAypKp7XK8Bytly3cTcHnRJMejG5XR7nlPsSwYamM6vn9PvPIGEi//OSpt17n1YUkjEFRqXK46HI7OhaUGu+y6orNEozGEBfUawhIyCZs4BUPqsC6Ps2RPBcC56yD+huAzvLVpiVjOld0pDj2xalBYk/oa5L0YldnYzZHHFkGtRjciHZCtOU80BJWKrIlLGH7WTa0uNIMRgzWO8Zf+nqwF12NNGweiiKswj7J3XyX/sUdw5AwOIXyoEjFjDtGKaKigoBAifdMaoaBAsy2pUY+nphHbrhKs2Sn9en2VXoMpKx77/jIKttQSmTywN6gdseHNPJY/Kndgao0qRp4Wx7gz4hk+Mxatoec5aKFiTTBw3u/H8cFvt1P4+gYipqZjGZUQ1FhBJTL6/nPYeusbuMurqX7hPWLu6LyDrSNEk4HYX15H7Wsf07h2M1VfLqVh11ZiF16AISW9h6+qPZIkUbX8E+y7toFKJOb2K7vMpustgiBgvehMJK8P+4rvqfj0fRBEwiefHNR4S/ZJ6FOHUbXsYxyH9uHR+2lMVxFWIO+SS4FAh5ahR6OakoW4Q4912myi5p7Z7c/FVSp7gWiHJXd6rNAsGAa6EgynplPw2gYOb6zG7wugUnc+T4NFwyWPTmLE7Fi+fHgH27Z4WXxWNWedo0eSwOcFn0/C6wOfV8JWH2Dr5iPWWmExOqZcmMKUi1KISOz4c77363LevXcbfm+AmNkjGP3bhe3Ewob95Rz8j3zDHL5oHsap4zqdM4C3sgb7alkEjj7jvG5/FsHgriyn7P3X0astDD/rpl6fTxBVJE1diKjWBpXXMlgRRRUGfSRNzmpctiq05k7E7G6IHjUd/Vkzej0fQ7q8SeXOLSbg9iDqtN2M6B3mGZNp+HA5TYW11G8v6teMoUFJy3eTIp4qKPQLM64exg9v5WPbUUTDvjIso4O7R1QYeCKyU8m6fR6HHvua+g9XoEmMwTil6/sbheMf+6qN+Kpq0UaaSLlk6kBPJygkf4CST+RuO8sZMzpcp3hLZHFPF9deMBQEAfMI2QFJLOj6/kGl0WFJGomtcA9V1Xsxmzv+zouMGM64Sx7A2xR8Np81bRyq2eO7PU4bHYsuKQV3SRGOH3ZgWRD8/Wv4eXNp2roXb1EZhx77mjEPLhrQDlJvs2AoDrBgCKAflYlr9yGa8nKImDZ7oKfTLziL8tEnpSKIIoIgIKiP7bqlLxBEFeGpYwhPHYO3qYHKfeuo2rceb10t6rAj4rwkSUOiO3qwETljDkgS1V99hm3pKhAErM3uWAoKCgodMXR3ExUGHYJGjfGkCTR+u4mKVfv6XTAECB+fhH1/Gflba5m0uH3W2kDSZPOw7pn9AIRbBWz1fnYtL2XX8lIMBoGMWXGMW5DA6PlxqLXHXjyceE4iB9ZUsOvLMvb/dTlTnrkKlSG4yjOt1ciYB89j+z3v4ty6l4YvviX8nDkhXV9Qq4i87iI0KQnUf/gV7pIiip5/nLCJU4lZcA5qS+8tM2rXfEX9D9+DIBB94yUYJozs9Tm7QxAEIi47B3x+7Ks2UPHJO/gb7UTMmhfUza02Mpqkq27EXV4Cza2UXjYAAQAASURBVJl29jQBT00VJS/8j4j0CQAEfF4Cfi8BnxfJ7yVx6kL8k5LQkUT6Hb9FHWYJar7ukuZK2WGdf15acj8kb+fdjmEj41GH6XHZXZTsqid1UmS3184+N4m0SRF88LvtFGyt48N3u+4Mzjo1mpMvSWPkabGoOslJ9DT5WP6Pffz4viyERs/MYtT97cVCT62DPf+3FMnrxzBpdKudbFfUv/8l+P0Ys0Zhyuqb36WAx42nogzMoXXqdkX8xPkAqA4P7fw7ozGmWTCsxJI0okfn6KsFpSYiCrUlHF+DDU9uEfrRmX1y3s4QDXoM06fQuHojpUu3n/CC4RFHUkUwVFDoD8LjDUw8N4mtnxRT9O4mxv7f4oGekkIIJJ43EUd+NaVLt1Pz/LuoYyLRpvZddrfC0CLgcGL/XM6uSrv6VFSGwS8eAFSvy8Fd0YAYZsI0LbvDY7wlzXmCsZ07hIR1Ixa2YE0bh61wD9XV+xiWPr/DYwRBQBcWiS6s+3VOT7BMnEJVSRGO9dtCEgwFtZroG5ZQ/tCTVH+fQ9myXSSeO+GYzDEYjliSDgLBcLRc9OfMPxxU8e1Qx11ZTtHzj6ONS2DsWXfBIO4s7AyN0ULSlLNJmDifhpKDWF0J2Jufq1j6HpLPS+Ts09F18blXaE/kTLkTufqrz+Q8QwGsixXRUEFBoWMUwVChTzFNm0jjt5uo/u4gw++Y12nm2bEifHwSxe9vpmBrbb9eNxjWPJNDQ4PEyNFqPlwWzd7dXlYsc/HlFy5Kivzs+aqcPV+VE5VmYuFvxjByduwxnY8gCCz6w3gKttXRUFLH4WfXMOLuBUGPt4xKIOsXczn0X7mCWTssGcOYrJDnYFkwA9NJE6j78Esc323BvmMzjQd2EjVzAdZTT+txRlz9D99T840cXB955aJOF5rHAkEQiLjiPASthobla6n+ehnehnpiF14Q9CJFF5/U5t+2LRvxOmxU7vmuw+PNc2bRkhIRrFgI4GoWDLVdCIaouu8wFFQiEZNTqfr2IIfWVQclGAJEJBm5/uXpbP+8BFuZE1EtoFKLqNQColpAVIuoNSJpkyOJTOl60Vmyx8b7v91GdZ5sxZN88RSGXT8LUd1WgA94fOz506d4qhvRJMYSfdOl3f5cXPsO0/TjLhAEYs48N6jXFhQtAohwfC9ee4LRGA014LJV9uo8YQUSDamyHZfYQ2tSQRAwpGVg37UN1/7cYy4YAoTNn07j6o1Ur8/BWWbDkDA4ckcGhGbFULFnVVDoP2Zel8HWT4qp/j4HR0ENprSogZ6SQghk3TaXpqJa6rcWUvnfV4n/4y9QW4O/P1Q4fqh7fzk+uwtjWhQJZw+dbtPij7YCEDbnFARt+/s3SZLwFMm5gB0JhgGvB/uubXjqVERldR8jEJ4yBgQBe2MpLlc9er21dy/gKMx5PmrMNagMRtTmzq1Mw8ZNourLT/HkFeMtqwopRkOblohl8XxsH63k0GMrURk0xM0f3RfTDwm/20vALUdNqAY4wxBAm56EoNcRcDpxV5SiTxhcReV9Te1auTjAaIgZ1DakwSCqtbJFKfJ6zudy0LBjM/j92HdtwzxmAlGnLUAXrxTEBIssGkpUf/U5to+/RtBoCF942kBPS0FBYRCi7FAq9Cm6kcNQRVjwNbqp/TG/368fPlYWWarzHDhqB093TU2hgx/fkbOv7nvAglotMCFby70PWPj6+xg+XBbNTb8wER0jUlPg4PXbfuSN23+kpvDYZhAYwjVc9LCcPVn2+U5qNh4OaXzCOROIO3MsBCTqnnsTX019j+ahsoYRff0S4v/4C7SZqUguD9VfL6Pgyb9j27oJX6O9+5McRcPOrVR+8TEA4eefTtj86T2aV28QRJGISxcS8bNzQRCwbVpH2XuvEvD2LFcuet7ZxF90BdbppxExax5R884i+ozziD3nQuLOv7TLytrOCLhdeKplMabLDsOWDENv17mbkSfJ2Rzd5Rj+FFElMHlxMnNvGc5pN2Qx89oMpl85jFMuS+eki1OZtDi5S7Ew4Jf49vkcnr1iHdV5DrTRZiY8ejGZt8xB1LQVCyV/gIP/WUnDnlJUJh0xd16FaNB3Ob+A20PNSx8CED51Orq4PlyUNAsgfWmt4qqvoLE8F6+3qc/OORBYrcOIGn4S5rj2mTWhUL5zNYf/+ntqv1vVq/O05Bi6Dh77HEMAbVIc+nHDISBR/MHmfrnmYEUQFUtSBYX+JjYzjNHz4gAofu/HAZ6NQqgIKpExfzgPQ0oE/lobVf99lYB76GYbK/QMxw87aFyzCQTIun1eO8eNwYr9QDkNu0sQ1GJrrvNP8VXWELA7EFSqdoWWAH5nExWfvEv+2neCuqbGYMYcK69l8vJXUVa+jeqa/dhshTQ1VVNXd5gtuW9StX9DyK8n95s3KHji79h3bu3yOLU5DFOm7GLSuL7rYzsi/Lx5mOecAhLs//tyqtYeDPkcvcXX3F2ISkQw6Pr9+j9FUKnQN+cYOnOP7xxDT02VHMUCJEzsuEt2KKPWmxh97p1Y08eDJNG4ZwcF//snJW+/hKu0eKCnN2SInDmP6NMXAlD/3nLsq0L/TlNQUDj+GRp3jApDBkEUMZ0iC1CVq/b1+/U14QaM6XIFdMHWun6/fmes+Pd+vF6YPVfHjNltb5wFQWDseA2//I2FL9fE8PObTajVsH9NJU9dsIavnzyAx9m1UNMbMqdFc+rV8uLowD+/wlMXvMggCALD75yPOTMGb72TqqfeRPL6ejwXXUYK8Q/cQtSNl6CyhuGtraHik3fIffRBCp7+N9Vff0FTfi6Sv+374bM30HhgLzXfrKDkrRcp//gtkCTC5k8nfPHA3ixbzphJ9K2Xg1pF495dlLz6LP6m0IVgQa3GMnEKsWcvJmbBuUTNOYPImXOxnjKT8MmnoAm3hnxOV2kxSBKqyHBU4Z1Xux7JMOzckhQgYqqcD1myux5HXf9sStWVNvHS9RtZ+dgBAj6J6NkjmPrc1URMbp9VGfD42PvwMipW7gVRIOrmn6GJ775yt/7DFfiqalGHW4le0IfdhXBUh2HfCYb5a9/hwLKnqLcV9Nk5B4LoqFGkz76MyIzsXp1HVGkIuJy4e7mQNDYLhp6cwl59z4WCpbnis3z57pC+m487lAxDBYUBYfb18vde1aq9uKtCK95SGHg0YXrGP3whaoseT34J1c+9ixTo+l5O4fjBW1lD3atywVvq5acMKXvz4o9lscx40kTUER13xroPN8cqJCR37Ejjl3/XBTH4qI+o4VOJHjmNRtHOvv3vs3PXa2zZ9gwbN/2bbTtexFa4B1tR6Hschgi5+MJdWdbtsWHZcsakY8P2kD+vgiAQefViTLOmQEBi38PLqF7fvyJZa36hyThosuZ0zc4gTXnHt2BYu3YVSBLhKWMwRh+fnZTG6GQy51/LmAt+TcSwbBAEHPt2U/jMv2nYrhQ3BUvk7NOJnC3bkda+vpTG77cM8IwUFBQGG4pgqNDnmKZnA1CzMRefo/+7/MLHyTdH+YPEljR/ay17vy5HFOHe+zsXZQDMYSL3PWBh6YpoTp2pxeOWrUwfW/QtW5cWEwgcm83SBXeNJG54GN76Jg7+e0VItm8qnYYxDy5CbdbhyS2i+sX3e7UZIYgi5hmTSfzrrwm/cAHaNLli1F1WTO3aryl+6UkO/+0PlLz1IiVvvMDhf/wfuf/4P0rffIGab1bg2L8H/AFM07NlW9BBsFAxnTyBuF9fj2DQ4yzMo+jFJ/HWD/zvZ+P+PQDomqsuO6O1w7ALS1IAXXQY5qxYJAm+efoQ/m4Ext7gsnv59oUcnrroO/I316I1qhh575mM+cO5aCyGdsf7nV52/+ETqtceRNCoiL71Z0FlWrpzCrCvXA9A3KIlqPRddyOGSstnRaDvfk9FjVyU4PcPni7rgaRlwewq651gqImORWUyI3l9uPP7p4pVPzoT7bBkAh4fJR+HXml+3DAIvscVFE5EUiZGkD41Er9PovhDZTNpKGJItDLuT4sRNCqcW/ZQ/8GKgZ6SQj8g+XxU/+8t/E0eLOOSSL/m1IGeUtC4qxupWnMAgLAzO8/x8xyW88r1Ke2LBAGkgLxuCUUwjB55CmkzlxCZmU1Y4giM0clozZGImub7f0EgMmNS0OdrwRCRAIC7onvB0DxyLIJeh7+6Dveh0Iv/BFEk6rqLME7LRvIH2Pvnz6ndnB/yeXpKS36hahDkF7bQmmNY0L7w+HjBW1cr23UCCdnHfy6dITKBjHlXMebCe4nMnIKoN2AaMab1eSXGoHui5p+NddosAGpe/ADHpp0DPCMFBYXBhCIYKvQ5mtRE1AkxBDw+qr490O/Xt06QBabcjdX9fu2O2LNCXhgsutDA8JHB+chnDtfw4puRPP6slcQkFbYyJx89sINlj+w5Jjc/Gp2KJX/LRqURqdmQS9lnO0Iab0i0Mvr35yKoRJo27qDu7c97PU/RoMO6aD4Jf7qD5MceIOrGSzBOy0Y0Gwm4XTj278FxcC9+ewMIAprEWEzTJxFx+bnEPXArUUHk0vUn+lEZxD9wC6oIC56qCgqfewxn8cB1gEmBAPbdsmVJS1dwZ4hGWYBz5NfgtTm7PDb1Z6cAsPGtfJ66+LuQ7Um7w1Hn4esnDvDPM1az8r8HcNl9WMYkkP3MtcSfOa5DgdjncLPzdx9St6UAUa8h5u5rMZ00vttrSYEANa99ApKEJfskTMP7Pgek5Xc0EOi7xauo1gLg9w9967GwQw6cdeX43F3/3nWFITIRBAG/vSFke+OjackxBHAfzO/xeUK9ZkuXYdnyXUj+E7MzpPVjfYyKZhQUFDpn1s/lzozyr/YgKZ/BIUn4+GRG/vpMABq++Bbnzv5fnyn0L43fb8WTX4I6TM+YB84ZMlakAGXLdiD5AuiGp6FL77xLyt0iGCZ3Ihj6WwTD0F979IhTGHH2zYxefA/jL32ASVc/zOTrHiX7qoeJzAxdMNRHyNER3uruc7lFrZawURMAaNq8O+Rrgfyao29cgnHqeCSvn30PL8Nd3T9d4o7D8tpPNYgyU7WpiQgGPQG3C3dl+UBP55jQsGMLBAKEJQ7HFNvxZ+J4xGCNY9icnzFhyQNYq2SRWpIkSt54nqoVn+F39nwNebwjCAIxZy3GMvkUkCSqn30H5479Az0tBQWFQcLQuXNUGDIIgoB5lmylUba8Zze5vcE6OQ1BgPKDdhoqXP1+/Z/idcuLlbT04KsbQX4fzzjbwLLVMdzxSzOCAD+8U8D3L+cei2kSP9LCGffIHVd5z36DIy80wTVyajoj7zsLAPvK9TQs+7bP5qYKD8M8YzIxt1xG8uO/J/6Pv8B6ydlEXLmIuPtvIeXp/yPxkV8SffOlWM6ciX542qDoLPwp2uR44n9/G5rkePyNdopefJK6jd8NSAWcMy8Hv70B0WTEMH5El8fqRg5DkxKP3+Gm4M2NXR4bPWs4w++cjyFcQ2VOI6/evInXbt1E5eHeLVIbKlx88ehe/nnGatY8m4PL7sOYGsnI+84i+z+XYUi0djjO1+hi528+pGF3CSqTjth7b8QwdnhQ12xcuxlvYRmiUU/0mef1av6doQ63Iur0qPWmPvs9EFWyLVMg0D+2mceSbdtfYO9H/6ChpOebmyqNDl2YbFXtCaKyuyv0ybKdlye3qFfnCQXjpNGIJgPeuiZsu0r67bqDiVaRQhx83+sKCsc7WdOj0ZnU+BpcNOZ0v9mtMDiJmz+apPNloaPmpQ/wNx7bnHSFgUPy+2lYtgaAtCumoYvp2uFmMBHw+in9XO5yCVvQeXdhwOPFUyTf0xk6EQyRml08hL7Z8hJEFSpNzzL5tCYrAAG3G7+r+/0J00i5U8q5c3+P1weCSkX0LZeiTU/CZ3ex/2/Lj3nhmSRJlH8lO9gYp4w9ptcKBUEU0aUfcS06HnGVyWuTiPQJAzyTgUGllQucwwokxE25NB3aT926b8h77BHqfvjuuO0s7S2CKBK3aAlh4yeBP0DVk2/gOnBs9hsVFBSGFopgqHBMMM+YjKASse8rC1l46i1aqxHzSNn248B3A7+x4ffJN/lqdc82Og0GgV/cHcZv/yBX6a349352fHFsNo2nXzmM4TNj8LkD7P3L5/id3pDGx80fTeatcwCo/+BLGr/b3OdzFEQRXUYK4QtPw3L6qehHpCPqBz5QPVjUUVbiH7hFXkT5/VR98TFl770W1OKxL2nY2ZINMh6ho9yPoxBEkYhLzwGgdOl2moo7zwcVBIHERdlMeuUmki6agqgWOPhdFU9e+B2fPbwbW7kzqIWv1+2ndK+NrZ8U8dHvd/Cvs75h/Wt5eJ1+zCPiGPPgIqa+cC3xZ4zttGraa3Oy4973se8vQx2mJ+bem9BlBpffEmhyUf+hbNsVddpZqE3moMaFijo8gsz7Hyb5jrv7TOQWmgVDqQ+7FgcKgzEaALetd52qrVZQvawq1ieny+c5XNRvQr+gVmOYLG+6VK45MbtCWgXDQVgIoqBwvKPSiAw7WS66qOtHWzuFvmfYDbMwpkbir7dT+8onimXbcYrjh534qmrRhBtIOGdoiQfV3x3EW9eEyhqGcXLngpOnoBT8AVQmM2prRIfHtNw7DAbHGZVGh0or25r67LZujzdljUTQavBV1ODJ7/m6X1Crib7lMkS9hvrtRRS9e2wz3hpzKnHkViFoVBinde1g09+0xJy4eplpPlhJvOw60n5xLxHDhtZn/lhgihtG1oLr0VvjCDQ5qFr2MflP/YPGg3sHemqDEkEUib/wZ5hGjEHy+qj8z6u4847Pz4mCgkLwDPzdk8JxiSo8DEO2bN9XtnxXv18/atowAA6uHXjBMOCVK/lUXWsy3XLNDSauud4EwCe/307ejzW9nVo7RFHgor9MxByto6mghkNPrAr5HMkXTSHl0pMAqHn5Q5q2KTdmP0U06Im+/UoifnYuqEQa9+yg8Nn/4C7vn+6hgNdL4165erclc7Q7DOOGo58wEskfIO+Ftd0erwnTk3XrHKa8cB1Rp2YS8Ev88HYB/zh9NQ+d9CX/PW8NL9/4Ax//cSernz7Elo+KWPviYd77zTYeP/9b/nzyCv53yfd89PudbP2kGL83QPiEZMb/9SImP3UFMbOGI3TRbeSpc7Dj1+/ReKgSjdVAzH03t1aWBoPt01UE7A600bFYT+68wrm3CILQ592wotjcYSgN/Q5DkzEGAJetolfnMTRbQbkre9lhmJQMKhF/fQP+6s6F877GdLK8+K/+/uCJaUsqDZ5NPwWFE5GsU+XijbqtA2elrtB7VHoNo35zthwhsHkXjg3bB3pKCn2MFAjQ8Pk3ACRdNAWVIbg4jMFCydLtAJjnntKaod4RntwjdqSd3kc3dxgOlmKj/2fvvMPbqs4//rlXW7Ik772y955AICFh75QNZZS9KZQOfnRRaOmAtuy9R8MOI0BYCYEQErJ34sTx3vKSrC3d3x+yHWghsa3tnM/z+MFpdc55bUv33nO+7/t9NUYrAP7OgwuGsk5PyqjxAHR9vSG8dXOzSLvwdAD2PbcS2zfRqx5q+CjkLmWYMg6VKXF6GAJoeyoMB6lgKEkSme5c1ProJLkmE5IkYS0ey9iFv6D48DNR61PwtTRR99JT1L7yNAGnqLD/bySVirxzL8ZQOgzF7aHpn8/ia4hsaxmBQJBciJOXboKe5O/1lGikzJ0JQOMn2wl6Y3twnT4z1Gdq76oW/N74VtkEA+FVGH6XX//OzHEn6vF54fWbV4dt8/hDpGTqOPcfU5BkaPx4W++Df38YcsWR5Bw3DoIKtkdfwT2Ahu2DHUmSsBw3h9zbr0GVbsVna6bqyfvpWPdN1DO+u3ZvJ+hxo0q3ohvR9x4HaeeeBLJEy1d7aN/ct82WsTCN8X86g4n3no15VHf/DneQln1d7F3Vwrq3qvn84d28/fvNfPyvnWxeUkfTHgfBgILarCd1chEFP5nK5H+dy+R/nkv6jNIDCmxKUKF+yWa+vew5uva1oLKayfzlNWiL8vr8c/rqm+n8ZCUAWSeejqTqn51wvJEGkSWpsUcwbA9vw2LKLsE4bBS63Pyw5pE1WvS5oX46nj1VYc3VH/RjhiGnGPG1u2jfFDs71ERBWJIKBPFl+OGha7F9a02/3ScEiYV5VC4lFx0GQPtLb+OPYfKLIPq41m/HV9eEyqSj4LTJ8Q6nX9jLGuncVoekknvPEX4Mz97Qs1CPVfwPoUlNJ++ciyk+/MyIxjlQMkfNJuPo49H8SEXkf2OeOBWArtWbwrZTNM2ZFqr4Cyps/f3iAe3vD0bQ66fp81D/s5Sjpkd8/nDRlob2AJ7GOmFPeYggySqyxhzO+LNvJ2fCPJBlfC3NyNrkcaeKJbJGS8GFl6PLLyRo76Lx3mfwt3fGOyyBQBAnwqx5Gjw03vs0Obf8DHVGarxDGTTox49AlW7F39pBy8o9ZB89OmZrpwzPRptuwtvaRcW6NoYflhmztf+bHktSTQQSPGVZ4u/3p9LcZGPDOh/PX/MtV798OJZsffiTf4chMzJYcMMoPn1gF+UPfULKyBxShmb1ebwkSYy89Vh8HS5aV5dje+BZsn5zLdqCnIjGORjQDS8m70830fLEa7g376LxnddwVe4j64TTUBlNUVmzc/M6AEyzJ/erYkdbkEPKUTNxLF9N+WPLmfLQhQes8vsuaZOLSXv4QoJeP54WB54mO+6mTjxNdjxNnbib7KhNWkzDskkZmkXKsCy0mSn9qr6zlzVSdv9n2HeGqsg0hblk3XAhmty+v3cB2hYtgUAQ08ixmEaM6dfYgdD29Rd0rF9NdulMcibMDXs+a/FYNAYzacHCCEQXX3oFw44mFEUZcDWmtWgM8pyxEYlJX1yKu7YKz57KPlfohoukVmGcNh7HF2to/mI3aVP7LvQPCoQlqUAQVzKKjaQWGGivddG+uZqMWUPjHZIgDIrPn4ltdTn2HfW0PPEqOb+5SlRwDwIURaHjve7qwjOmoE5JrkPxunc3AmCYPgF1quWAr/WU9wiGP/48pDKaMI+fjLkyMax3c8Yfhb2k788xpuGjkY0mgp0O3Nv3HrTn/IGQJInMK87BJst0fb2BXfcuxdPaRfH5MyPmdNLy9V789lBCqn7s8IjMGUnU2RlIeh2K24O3pQldTt+TSROdmheeQGUwoB19IjpLRrzDSThUWj2FM08lY8QMgn4vwe52LEoggHPfHkzDR8U5wsRB1ukp+OmVVD/1IL6WFprue5bc269GNkb2vFEgECQ+YmfQjb+mkfo7HxKVUBFEkmVS5kwD6G1+Hbu1JdJnlAKwO859DIP+bktSVWQexvV6iUeeSad0qIqOehcvXvctnq7IVxIddcUwRszJwucOsv2u9/A7+1eFK6tVjP3dKZjH5OG3u2m692l8jbHtZ5ksqFJMZP/8ElLPOh4kic6N31L+77tp+exDAi5nRNcKuJx0le0AwHTYlH6PT114DCqDBvvuRsqf/GJ/5U8fkbVqDPmppE4uIve4cZT8dDYjbz2OiX89k7G/O5WSC2aRMXsouixznzewfoebsgc/Y/31L2PfWY/KoCHt/JPJu/PGfouFrs27cG3aCSqZrBNO69fYgRJwu/A2NeBuD892swdr4WjyphxLWmryH+ga9OlIkkzQ78XnPLiF04GI1IGRoagUAM+e2D4vGGdOAKD5y90E/YdWZnRv1bU40BYI4oIkSb1Vhm3fVsQ3GEHYSCqZMbefhMqoxbO7go73Po93SIII4N6yG29lLbJeTeFP+v+MH098nS6aPgtVp5mPOeyArw10OkK28JKEvqAoFuHFBUmlwjx+MgBdq8KzJYVQ8lnGledgOSmUnFjxzFfseejziFndNywNVS2ajpiakAkIkiyjLemuMqwfPLakgS4Hzj07sW/ZgKzRxjuchMaQlospqxhzpYK5UqFt1QpqX3ic2peewtfWGu/wEgZ1ipmCi69GtqTgq66n6YEXUHzJ71wkEAj6R+LdyeOENjuXYKeDxr89geOrdfEOZ9BgOiJkpdG2rhJPS+TtMw9Eenf2c7z7GPZakkawhURamsyTz6eTkSlTv7OTRbeuJ+CLbF8rWZY4657JWHL0uKrbKPv3J/22ylTpNUy4eyHG4nQCbZ003/MI3srY9OlLNiRZxnrK0eT8+ko0Rbkobg+tX3xC+b/vouXzjwi4XBFZx75tE/gDaApz0Rbl9nu8ymrGevbJANS8vo7td79PwBMfezIlqND4yXbWXPosde9shKCCcdYkcv/ySyzHH9lvK9Gg003ry+8BkDbrSLSZ2VGI+n/RpIUyQT0OsVH5b2RZhUGfDoC7PfxrecDZFXbfCkNxqEeut6qeoMsTdkx9RT96KLLZhL/TTfvGQ8uWtOcwK9L9PgUCQd8ZdWRIMLStLo+6dbog+hjyUxlx8zEAdLzzGe7dFfENSBAWoerCkPCbf8okNNbE6h93MGoXbyDo9aMpzkM3/MAuCp69IUt4bWY2Kr3hR1/nd9ixb91IZ82uiMY6UIJ+H96WJjwNdX0eY+m2JXWu2xaRFjqSJJF2zomkXXAKSFD3zka2/3lJ2O1jPM122tZWAPQmjCciPYKhexD1MXTu2wOAIT0PjcEc52iSC02LF2SZrt3bqXj477StWoESPAR7xf8A2vQMCi+8Ckmvw7OznJYnXhW/G4HgEEMIht0UXnw1KWMmgD+A7anXaVv0gbggRgBNTia6kaUQVGj8dEdM106bWoKslmip6MJWFb/GxgFftyVpBHoYfpeiEjWPPZuGwSBRtrKZD/6+PaLzA5jStJz7jynIKommz3dSv2RLv+fQWA1MuvccUoZl4Wt30vS3x3Hv2BvxWAcL+tFDybvzJjKvvxBNYQ6Ky0Pr8o8p//dd2JYtJeB2hzW/ffN6gLCsFM3zZ5Nx1blIapmWFbvZdNvreNsiWwl5ILxtXVS+tIo1Fz/Fzr99iK/diTovi+xfXUHWteejTjuwjdEPofj9ND/0Ev7GFlRmC+lzj4tC5D9MTy8TryMyfYT8bgdOWx0u1+AQIAvyZ5E/7US05vSw5qla+SZ7//o7OtauCmsetcWKOjUNFAXPvtgJd5JKhXH6eACav0iMw6+YoQhLUoEg3gydnYlKLeGu78BVK/reDQZyFowh55ixEFRoeew/BLpi9ywniCzubXvwlFUiaVQUnpV4/eMORFdFC1X/WQOA9aS5B00O8paHxJ4D9S8E8DY1UP/aC1SvficygYZJZ10ZFQ/8lYa3F/V5jL6oFE1aOorHi2tD5Pb6luPmkHntBUgaFS0rdrP5N2/idwx8j9nwyXZQQDeyFE1O/FrBHAxtSQEAnsEkGO7dDYA5b0ScI0k+8qccx9iFt5GSMxTF66X5w8VUP/UgnqaGeIeWEOjzCik47zJQqXB+u4W2l98TCWMCwSGEEAy7kbQ68s69hPS5xwLQ+dEKmu57hkBHbKviBiM9VYYNS7fG9AajTtFhHhfq4bVzeWSs/gZCsMfmIwrnnBMmabn3wVQkCVb/p5IVT0deiCuZms6xN4d83fc98hmd3f3h+oM23cSk+87FOrGQgNNL0z+foevb/ouPhwqSLGOaMYG8P90cEg4LclBcbmzLllLx7z/TtOQtXFUV/fo8KYpC28rluCpC7xHT7MlhxZhy+BSyb7sCtVmPfUc96697kc7tfc+YHQhBf4CaN9ex5pJnqHjua9wNnUgGPalnnUD+XTdjCKNfhv3TVbi370HSaym48ApUhh/PWI40mrSQEOZ1tEUkUcVWto4di++jfN8nYc+VCBQVHUHe5GPQW8I7gNCmpAJEZBMYL1tS08yJALR8teeQsiXttT7uY89UgUAQeXRGNSXTQ/ertnVVcY5GECmG37QAQ0EqgdYO2l/9IN7hCAZIW/ffLv+UiegyU+IcTd9Rggq7//UJii+AYdJojLMmHXSMpzx0/TlQ/0L4jp15giQbaY2hhEa/ve8W+5IkYZ4YqtjrWr0povGYZk4k+9bLUBm1dGyuYcsdb+NpcfR7Hl+HK+T0AqQcmdhitbY0JBi6G2oHTXGAs3tvb8kXguFAMKTmMPLkayk+/ExknQ53TSWVj95H58Zv4x1aQmAcOoK8n1wAkoT9s1XYl34V75AEAkGMEILhd5BkmcwFJ5J3zsVIWg3ubXuo++2/cUYwm+tQxDRzEiqDBld1W8xt1DLnhASELR/1X+SKFOasUIPgpoboHO4uOE7PL+8I2U98/K+drF5UEfE1jrh0KGPm5+D3Btn2x3fxtva/YlOdomPiX88k44jhKL4ALY+8TOenX0c81sFEr3B4181kXncB6pxMAs4u2ld/RfVTD1Dx7z/T8skSPI0Hfn8rfj+N775G89J3ATAfPwd1RmrY8elHDyX79utQ52TiaXaw8ZZXqXl7fVQSA9o3VbP+mpfY++hyAk4v2tICMq46l8L778B6yjyk7ublA6VHwM5ccDL6/MJIhNxn1GYrqFQowUDYffoAFKXHvlHc4r+LzhqymPXamsOeS18Qymr3VUZXJP9vdKOGhGxJ7W46Ng+e7OiDEegK2XDJel2cIxEIDm3SC0M2h357eG4HgsRBbdQy6pcnAOD4ah3e2vglWQoGhq+5FV91PcgSJT89cP+/RKPx0+10bqtD1mtIv2ThQasLlUAAz56QYGgoLo1BhJFDpQ2dCQS9/bMWTRkb6mHt3rEXxR/ZPmL6McPI/vU1qIxaOrfVsebSp6l4fiUBV99iVBSFXfcuxWtzoM7JxNid2JaoaHIzQ3surxd/R3u8wwkbJRjE12YDwJCRH+dokhdJkskaczjjFv4Ka9FYJECXP3j7o/YX84QpZJ14OgAd74qexwLBoUJ4J6yDFPP4yWizc6l//UW8jfU03/8CKUdNJ+38U5EN4rCqv8gGHYbDpuH4/Bvq3t1I2pQD24dEkuy5oyh/dBk1m9tprXaSXhT7fg4ZJSYAKsqj1yj4sqtS6OxQeOxBB+/dvQ2tQc2U0yMnesiyxJl/mcTjF3xNc7mDrb9fzKR7z0Gl719jRlmrZtzvT6Xswc+pf38TbS+9S6C9k9Qzjxe9qQ6AJMuYZk7EOHUc7u176Fq1Eef6bfjaWmn98jNav/wMbXYuhuJSlGAQxe9HCQRQAn4UfwB/Rxve5kaQJNLOOwnzcXMiFpsmP5u8P96A7Zk3cX67hb0PL6N9QxV5J00kdXJRv98j38Xv8NC+uZqmz3bQ/EXIbkVt0WM58yRSjpyOJEdGEAu02/GWh5IZzGNiv9GVVCo0qen4bM14Om1oU9LCmk8JhK41kty/Ho6JSjAYwN3ehNfZEVb2bE+Foq+1JeyYdLmhTbm3KrbJKJIsY5wyBseKtbR8VUba1ANn1w8WfN02WbIpdpW/AoHgf1FrQ/fdoO/QqXA+FLCOLyBzznBavtpD+xsfkX3zJfEOSdAPXJt2AqG/o8aaPPdJv8NN+RMrALCcdgzqdOtBx3gr61A8XmSDAW3WgXux9+4sE8RBT1KF9kSKv3+933U5+ahMKQS6HHjKKtGPGRbRuLQl+WT96mraXnoXz55KKl/8hrr3NzPk0iPIPWE8kurH91u1b63HtmovkkZF1nUXIOu0EY0t0kgqFZrcTHy1jXibG3tdXpIVv70DgkGQZDSG/rfkEHwfrSmVYcdehru9EX/2/uuLs2IvhqJSJNXg2FsPhLTZRxHo6kIak4Htsb7bKgsEguRFCIY/gi47l+Krb8H22Ye0fb0cx4q1uHeUk3HVuehHHBoHdJHEPH82js+/oWXlHjwtdnSZsWnIrE03YZ1UTPuGKrZ8VMfcKwduWThQMktDguG+fdE9XLn5thS6HEFefNbJ27/bhNaoYtyxeRGbX5+i4cIHp/P4BSux72xg598+ZOzvTkXqp0WcpJIZcfMCdJkpVDy3ks73lxNo7SD9koUJv8mIN5JahWHiKAwTRxH0eHFt2knXqo24tuzC29SA9wBWi5JeS+Y152OcPCbicckGPZnXXYD9069pX7QE29d7sX0d2jymTi4iY+YQ0mcOwVBwYCEs6AvQuaOetvWVtK+vpHNnA/RYEUqQMm8WqWcejyolssK/c9MOUBR0BUWoLQc/rIgGutx8JLUaRQn/OhEMhgRDWRoct3iv1862N/8OkszUS/86YCFUZ8kAIOhyEXB2oTKaBhxTj2Dob24l2OWKqZBlnDY+JBiu3MvwGxb0+xqcjPjtHgBkY/IchAoEgxGVpkcwjF4SnCA+DLlsDi1f78W1YQfu3RXoR5bGOyRBH3FtDAmGGbOHxjmS/lHxwqpQH/LcLCzHHdGnMZ7dFQAYioYcPHEwwZJRZVX3c3kwiBII9Fl8kGQZ47CR2Devx7WtLOKCIYCutICcO67BuXYr7a9/hK/Jxu5/fULNW+sZetVRpE0rwVXdhqO8ma7yZhx7Q//tcR1KO/cUtCXJUeGmyc/uFQxNIyO/L44lQa8XXW4BKp8UsUTaQx1JkjCk5UJl6AyiSa6i5rlH0RcUk3vmhWjTM+IcYfzIXHAiAbcbG0IwFAgOBQbHaWKUkNVqso4/FdPIMTS89R/8za00/uUxLCfPI/WMBWFb4B1KaAtz0Y0agmfXPuqXbKH0ksNjtnb2/NG0b6hi8wdxEgy7Kwwro1hhCKGHm9v/YKGrS+Gt11y88av1aB+ayYgjsiK2RmaJiQvun8ZzV6ym5csy9j39JUOvPGpAsZb8dDbaDBO7//UJXV9vwLOvhqxrzk+azUa8kXVaTDMnYpo5kUCXE9f67fhb2pA06tAGVKNGUquQ1GoktRrdyNI+Ze4OFEmSsBx7BLoRpThWfItr004Ctnbavq2g7dsKeHgZhoI0TMOyIBgk6A+iBHq+FBSfH0d5M0H39z8n6pxM9OOGk3LUDHTdfScijWt9yHY6ZdT4qMzfF/LPDWXzmyvDT4PuqTCU5cFxj9LpLMiSmqDix+to7xX++ous1qIxWvE5O/C2tmAIQzBUGU2orWmh6t2aevSjYndIpx87HEmvw2tzYN/VgGVM5BJDEhW/qDAUCBKCngpDRVQYDjqMxRnknTiB+iWbaX/tA3LuuFa4fyQBQbcHz65QD7NkEgwd5c3ULt4AQPpPT+3zuYp71z4ADKX9+VkTo8RQVu93XVEC/n5VK5mGj8a+eT3uLWVw1gnRCA9JkjDNmIBxyhjsn3+D/b1PcVba2HrH20gqGSXwAz3/uhM6UxbMjkpM0UCTH2pR4GlOfvtlXVYOJdf9IiL7R8EPoy3vQNZocFdXUPnIvWSftBDLlBni/igQCAY9g+M0McoYhwyn5PrbaP5gMZ0bv6Xz/WW4t+wi/eIz0A2Lnb1msmOePzskGH6wmeILZyGrY1PSnzlnBHvv/4TGMjuNe+zkDI9NdWMPPZakzc1BHPYgKeboZX/JssRdf7Pi7FL4aImbV29ew08fP4zSaZGz2xgyPYOFd03kjds3Uf3qtxgKUsk7aWA2jnknTkCfa2XnXz/AW99Mw90Pk3rWCZiPPUJkyfUDlcmYME3mdaUF6EoLUBQFX10Trs27cG3eiXd3Ba7aNly1bQccL5tN6McNxzB2OPqxw1FnhmfPeTCCHi/u7XsASBkzLqprxQolGDrIlQeJJakkyRgM6XQ5m/B0tgxYMATQWTLxOTvw2VowFIbnFqDLKwgJhlWxFQwljRrDxFE412ym5auyQ0MwtAvBUCBIBFTa0H1FWJIOTkouOozGT7fj2VOFa/12jNMGx3PRYMa9bQ+KL4A+PxVDUXLYKyqKwp6HPoeggnHaOAzjR/ZtXDCIp6wCAENJH567EuxAX/pOIp/i84G2761ujMNCvyNvZS2BTgcqS0rE4+tBUquxHDeHlCOm0fH+MuyfrkTxBZD0WrSFeWiK89AWhb40hTlJ119ak9fd03wQCIaC6JNaOoGxGQVUfPEKjsZ9NC5eRNfubeScdk5YbjUCgUCQ6AjBsI+o9AZyf3I+plFjaVzyOt7KOhruegTTEVNJPfsE1KnCM/xgGKeNQ7ak4LU5sH29l6yj+rY5CBeNWU/qjKHYVu1l8wd1HHvTqJis24PerMGUrqWr1UvFvgDjJ0ZXCFOpJP5+fyouVxtffO5h0Q3fcMWiub2VjpFg8qmF2KqcLHu0jD33f4o+x0ratIEdvqdNKWb6Exez676PsX29l7b/LMG1ZTeZV5yDKjW24q4gckiShLYgB21BDtYTjyLocuPevgd/W2coo1aWQz0xZDlUCSnLqHMy0BTkxFQsdm8tQ/H5Uaemo82Ov/CiKErYGYvBQVZhCOwXDO22sOZJLRmPqjgXTQTsZHS5+XTt3Iq3qi7sufqLcfp4nGs20/T5TkovORxZO3j+1j+E3yEsSQWCRKC3h6FXCIaDEV1mCoVnTqPqldW0vfERhsmjD+meTcmAa9MOIFRdmCwVL02f76Rjcw2yTk3aBaf2eZyvvpmgw4mk0aLPKzzo67WZ2eSccR4muz6ccCOGJMvkTDgaX7q6305VarMFXW4+noY63Nv2YDpscnSC/A6yyUDauSdhOXkuQacbdWbaoEjo1RR0C4YtjRHZdwkGPzpzOiNPuo7GLcuo3bAUx/YtuKoryV14PqbhsT1bFAgEgliR/Hf8GGMeN4nSa3+FZcoMALpWrqfuN/fS8f5yFG//GlgfakhqNea5MwGoe3djTNfOPjp0I9/+SX1M1+2hp49hZUVser5otRL3P5bG1OkaHHaFRbesw+eO7OHO/OtGMOnkfIIBhV13LaaromXAc2msRsbdeTojbj4GWafGvbWMxj/+E2d3Tw5B8iMb9BinjcdyzOGYj56Fee4MUuZMI+XwKZhmTsQ4fTzaoryYb0SdG7rtSEePi+uG0dfZTsXD/2DLoj+hKOHZylgLR5M7aQFWa2lkgksADIaQwOfuHPh1BiBn/FHknHImhqLSsGPS54Uscr2VsRcMDZPHoEq14Gm2U//BlpivH2v2W5JGtn+pQCDoH72CoehhOGgpOmcGaosef30zji++jXc4ggOgBIO4Nu0CIGNWctiR+p1eyp/4AgDLyfNRZ6T2eayn245UX1jSJ8FNbbZgnTqTtNIJA4o1GhTOPIXMBSci6/ovYhq7hQnX1t2RDuuAqFJMaLIzBoVYCKDJyQRJCvU0d9jjHU5Y1C16looH/0Znza54hzLokWSZ3EkLGHPKTehTcwjYO/G2iCpVgUAweBkcd/0YozZbyF14PsVX/xx9YQmK20v7Gx9Rd8e/cK7fFvZh72AmZd5MkCXaN1bTVRlepUh/SJ81FJVGpnlfF017Y/9g2GNLWhHlPobfRa+X+NcjaWRkyjTstvP+X7ZFdH5Jklh410RKpqbhcfjZcsfbeNu6wpov/9RJTH3kp5iGZeFrd9H87+ewPfMm/vbOCEYuEIQIHbSEROmU0fHrXwigMpjwNjXgc3bidw/8cwShKrqC6SeRnjYsQtHFH70+ZE3rdRzY0jaW6HJDgqGvtgnFH9vDc1mrwXrafAAqX/6GgGtwJyz5hCWpQJAQiB6Ggx91io6Siw4DoP3tTwh2ueIckeDH8FbWEeiwozJosE48eMVdIlD54iq8ti7U2RlYTjiyX2PduysAMJQMiUJkiY9pWEgwdG8tE+dNYSBpNaizQva9yW5L6mlqDP0Mg0TMTQaMmYWMOf0Wio84m9RZ+69h4jMpECQf9fX1/PGPf2TatGlkZGRgNBoZNmwYl156KStWrEi6NRVFYf78+UiS1Pv13HPPDXg+cWcJA31BMUVX3EjumRegMlvwN7fS/MCLNP79Sdw7y8VN4wdQZ6RimDwGiG2Vodqkwzq1FICtHzfEbN0eMktDfQb2xVAwBMjJVXHvA6lIEqx7q5q1b1ZFdH61VsUF908nvciIp7GTrb9bTMAd3sG1qSSDqQ9eQMGZ0wBwrPiW+l//nbY3PhKHFoKI4tlbTdDeBbKMLr8orrHIGg1qszUUV5hVdIOR/YJha9hzBdwu3PU1Yc+jTk1D1hsgEMBX2xT2fP0l5ajpqLPS8bU5qX1nQ8zXjxWKoghLUoEgQVAJS9JDgvxTJ2EsTido76JjyfJ4hyP4EXqS3tKmlyJrEt861lHeTO1b6wFIv/BUJK2mz2MVRcGzO1RhaCztW0JcwOXEsWs79vo9/Q82Sni72vE2NxL0evs9Vl8yFEmjIdBhx1cT+/OMwYQmP/n7GCqKgr8jlEipS0mLczSHFrJaQ9bo2Vi6j9YCbjfVT9yPY1dkE/QFAkH0eOeddxg3bhx33nkn69evp7W1FZfLRXl5Oc8//zxz587lmmuuIRCI3J4n2ms+9thjLFu2LGLxCsEwTCRZxjJpOkNuup30o44BtRrPjnIa//oEjfc8jmvLbiEc/hfmYw4HoGHpVnydsROAsuaGeiZueq8m5n+TvNGhHpdrV3tjvvZhc3Tc9IuQYLnk7i1Urg//wP27mNK0XPzoDAwWDfadDWz747sEveEJo7JWzfBr5zHpX+diGZtH0OOn8/3l1P/mb3R+9GVC2f8qiiI+40mKrNOEMjKDQWqeeQhva+yqnn8ItSV0nfC7wquCdrXW47HbCAYHz4GuOSWP/OknkTN+XljzBLxu9v7lDqoe/SdBjyesuSRJQpedC4CvPvaCoaRWYz31aAAaPtw6aK9DgS4PBEM/m0pUGAoEccVWEaqA11jFZ3EwI6tVDLl8DgCOr9ahRPCwRBA5gvbQ59FYlB7nSA6Ot62Lrb9bjBIIYpgyBsOk0f0a72+yEWjtAJUKfWFx39ZsbqLu5aeo+PK1gYQcFXa+ez8VD/5tQFaGslqNoThUXekpq4x0aIcUmrwsALy25jhHMnAUnxfFFzoTURvMcY7m0MVcqeD8YBnu2irqXn6a5o/fF/dMgSDBWbZsGeeccw5tbaGki5NPPpnHH3+cl156iVtvvRWrNZTI//jjj3PDDTckxZpVVVX8+te/BsBkMkUkZiEYRghZpyPzmJMYctNvsM44HNQqPLsraLrvGRr+9HDIqjQYjHeYCYF+zDA0xXkE3X7q3tsUs3WzjhyB1qjCVuWkckNsbe1Kp6djMEg01AfZtSP2fV+uviGF407U4/PBW7eupr0+skJtZmkKP31oOhqDira1FWy/632C/vAflFInFDL5/vMZd+fpGIvT8dvdtC1aQu3t94UOMOLwmQp6vLi276H9nc9ovPdpqq/7I1U/u53Kn91O5RV3UHX176m69o9U3/Anam7+M433PkPnJyvxNYiqsURDW5xPzi8vRzab8DTUUfXkP+navSNu8cjaUD+TgL//WcffZe/nz7P1tb/Q0TF4DhP0+lTyJi0gfdiUsOZRafXIGh0A/s72sOPSZIYylOP1+TbOmIisU+OqbcO+K3mzpA+Et80JgGTQ96saQSAQRJ6ylaHD1bTppfENRBB10mcNRW3WE+x04O7uHSdILGRrKCHU2xqelX20CXh8bP39O3gaO1HnZJJx+dn9nsO9fS8AhsISZK2uT2N6+hwqgcTpuRrwdTsmDKCHIYQcrgA8+8J3yjiUUeeEeqP7bMm7P+8RCyFU8SaIH7mTjyFrbCjJpu2rz6l57lH8nR1xjkogEPwQHo+Hyy67DG93pf+DDz7I+++/z1VXXcWFF17Ifffdx5o1a8jNDSWGP/bYY3z++ecJv+ZVV12F3W5n2rRpLFy4MKx4exCCYYTRpKaTc+pZDP35b0k9bC6SVoN3Xw3ND7xI/R8ewLlxZ7xDjDuSJGE54SgAahdvCLsara+oDFrSjwrZoa5/qzoma/ag0akomR06WF7+mTumawPIssRf/2Vl9Fg1tpYgL9+4Fq8zsr/3kqnp/PTB6ai1MrZVe9n5lw9QAuELepIkkXnEcKY/eQkjf3Ec2swUArZ2bE+9Tu0t92B7YTHuHXujlskVcDhxrttK6yvvUX/nQ1Rf+wea/v4UHW9/Euoh4equUlIU8AdQPF4Ul5ugw0mgw457627aXn6Put/cS+2v/0HrS+/i2ryLYAJVSR7K6McMI+/Om9AOLSLY5aL25aewLVsaFzFa1oUOQIK+gVe+KYqCryu0QdHpLBGJK1Gw7g2vIrAHrSkVAF9He/hzZYQylOMlGMoGHfpJYwFo+jx+Ync08baHBEOVJSXOkQgEhzb2Zjf1OzuRJEibVhLvcARRRlaryDoq5M7i/CZ2CZ6CvqOyhp7zElkwVBSFXfcuxb6jHrVZT/Ytl6BKMfZ7Hvf2kK2oceiIPo+RVCGbViVBHDeUYLD3GV/WD6xKu0cw9ArBMCw0OZkAeFuTVzAMdguGkkqNJIlj3Xgiq9QUH7aQofMvRtbpcFWWU/nYP3FVlsc7NIFA8F8888wzVFRUAHDqqaf+YDXfyJEjefjhh3v//dvf/jah13z22WdZunQparWap556CpUqMjb16ojMIvgf1BYr2SeeTvqR82lftYK2b7/CV91A87+fI/WcE7GceBSSJMU7zLhhmjmR9jeX4rO10/jpdvJOmhiTdXNPGE/DR1vZurSek28fh84Uu4/AqLnZ7FzWyLLPPFxzY+xtI4xGmYefSuPsU23U7+zkrd9t5tx7p0T0fThsdiYX3D+Nl29cS/OK3chaNaN+dQKSHP4akkom78QJZM8fTd3ijVQtWoO/w47j829wfP4NstmEcdo4jNMnoB89FEk9sItk0O3Bs7sC9/a9uHfsxVtVC//l9KfLSsE6vhDL+Hys4wrQZaWgBBSUQJCgP4gSCH0FXD46NlfT+m0FHVtq8DfasDd+jf3Tr5F1agzTJ2KePxvt0KJD+noQb9TpVnJvv5rWV97DsWw1tmVLcddWh/rTGvp/qDFQegTDgG/gSQUBr5tgd4XiYBMMHY4GOmvdmLKKUWkHboenNVlxtzdGJPNTmxkSDP2N8TtwMB02GeeazTQv38Wwq+ciqQbXoYGvu8JQZRWCoUAQT8q+Dl3nUkbkoE2N3b1RED+y5o2ifslmnOu2kX7x6b0VW4LEQJ0a2k96bY44R/LjVL6wiuZlu5BUMhnXXYQmN6vfcyjBIO4doQpD49CRfR7X834NJkiFYeA7CYEDrTDUFRQC4KttJOjxIuu0EYntUEOd3V1h2N6KEgj0isvJhOIPCYaySlQXJgppQyZhSM+n/LPncbXVU/3sI+SfewkpYybEOzSBQNDNokWLer+/9dZbf/R1Z5xxBqWlpVRUVLBq1SoqKyspKRlYwmQ016yvr++d8xe/+AWTJ08eUIw/hHjqjzLqFDOZx55M2pyjafnsQzrWrKT9tQ8J2NpJu/BUJHlwHez1FUmtwnLM4bS9+gE1b64n98QJMRFMLOPyMRSm4appY+vSeqb9pCjqa/Yw6shQheHmDT5sLQEyMmP/YFpQqObBx9O49HwbW5fWkz3czPxr+56p2RdGHpnNufdNZdGt62n8dDuSRsXIW46NiGgIoNJpKDp3BgU/mUrbhipaVuymZeUe/PYuHMvX4Fi+BtlkQFOQgzojFVVmGuqMNNSZaagzU5HNplD1X6eDQLudYKeDQIedQKcDX00j3n3V/1MZaSxOJ3VSEdYJBVjGFaDP6bsQYxmdS9E5M/B3eWjfUEXrmn3Y1uzD2+Kga+V6ulauR1tagHn+bIyzJomNX5yQNGoyLlmIbmgRrS8spmv3dqoe+yd5512KPq8wJjFo0jLQ5Rag1g38INbX1Q6AWm1ApRpc76Ut217G5bIx8uTrMecOHfA8mu4KQ39H+NbUmt4Kw2YURYmL8G+YMBLZZMTb2kXbxirSp5XGPIZo0mNJqjJHxotfIBAMjN0rQr1ahR3poUPqxEI0aUZ8bU7c2/b0u++cILqougVDT4JWGDZ+toPKF1cBkH7JQvRjhg1oHl91A0GHE0mr63P/QghVXgEowQQRDL2hliCSWo08QPFdY0lFZbYQsHfiraxDP7I0ghEeOqjSLEgaNYrPj6+jHW16RrxDGhDanDw0yuDa7yU7emsWo069kcovX8Vuq0BfVBrvkAQCQTd2u52vvvoKALPZzJFHHvmjr5VlmRNOOIHHHnsMgA8//JBrrrkm4da89tpraW9vZ/jw4fzhD3/od3wHQgiGMUJlMJJzyplo0zNpXvou9s9W4W/tIPOa8w5ZgSBl7kw63/0EZ6WNtrWVpM8ojfqakiSRe8J49j31JesXV8dUMLTk6MkbY6F+RycrlnlYeHZ8srOnzdTy+7ut/O7XHXz+8G6ySk1MODE/omuMXZDL2X+dzGu/3kDDh1uQtSqG3zA/oofpskZFxswhZMwcwoifH0P7pmpaVpTRsrIMX7sLz+4KBmpgqM+1kjqliNTJxaROLkKXEX5li9qkI3POCDLnjEBRFOw76ql7bxNNy3fhrajF9sybtC1agunI6ZiPno0mNzPsNQX9J+XI6WiL82l+6CV8za1UP/UA2SefhXXqzKivnXH08WQcfTzmSuXgL/4RvM5Q1ZxeZ41UWAmDVmPC5bLhd4eXSd9rSRqJHobpmSBJKC4PwU4HKmvsq8cltRrjjAk4lq+m6bOdg04w9LWHDkJlYUkqEMQNnyfA7i9DgmHG4QM79BckH5JKJnvuKGoXb6Br9SYhGCYYPZakvnYnSiCYUA4DHdtq2XXvUgAsJ80l5agZA56r1460ZGi/KsF6LUkDgbgldX2XHgeRgVYX9qAvKKJr5za8+6qFYDhAJFlGnZ2Br7YRX2tLUgqG2sxsSq//ZVj7RkF0UGl0DDn6InzOTjwp+/eGAbcblT68z79AIBg427dvJ9jdemjKlCkHte6cMWNGr3i3ZcuWhFvzP//5D++88w4Ajz/+OAbDwF24foiEFQw3b97Mxx9/zMqVK9m6dSt1dXX4fD7S0tIYO3YsxxxzDJdddhl5eXnxDrVfpB0+F7U1lfo3X8a1YTuNf3uS7J9fckj25pGNeoxzZmL/ZCU1b66LiWAIkHPMWCqe+ZLK9W20VDjILI3d737U3Gzqd3Sy/LP4CYYAZ59vZE+Zn+ef6uLt327AmmegeHJaRNeYcGI+fm+Qt367ibp3NiJr1Qy9KjpWvLJaRfq0UtKnlTLipgXYy5pw17fjburE09CJu3H/V9DtQ9ar0aaZ0Kab0KYZ0aaZ0KQZ0edasU4oxJAXXbFFkiQsY/OxjM1n2DVzafhoG3XvbcLd0IF96VfYl36FYeIozMfPQT92eNw3uIca2pJ8cv94A7YnXsO1aSeNixfhrqkg68SFyJrEtn3pqTDUDULBUKMNXav9rjAFw5TU0Dwd4VuSymo1mtQ0fG2t+Bpa4iIYQsiW1LF8NS1flRG4eQEqXWK/T/uDty2UkX8oPicJEp/Bul/5b/auasHrDKDLSsE8Mjfe4QhiSNa8kGDoXL+doNeHrB0895dkR7aYQJJAUfC2OdFlJsZ90lXfwbY/vIPiC2CYOpbUs44Pb76tZUD/+hcC37HQVUAJghRf28mgN0KCYX4xXTu34SkXfQzD4buCIYyKdziCQYYkSWhNVrSVCvYSic5Na2le+h75516KoWRIvMMTCA5Jdu3a1fv9kCEH/xx+9zXfHZsIazY3N3PTTTcBcNlllzF//vwBxXcgEk4wbG9vZ+bMmZSVlf3g/9/U1ERTUxPLly/nL3/5C3//+9+5/vrrYxxleJjHTUKdYqZ20dN4y6tp+POjZN/6s97my4cS5mMPx/7Z17StraBrXwumIdH/HegyU0ibMZTW1eWsf7uG426JXbbsyDnZLH9sD9987SEYVJAjZNM5EH51h5mqCj/LPvXwxs3fcOnLc0kvjKyIOeX0QvzeIO/cuYWa19cScPkYceP8qGbASioZy+hcLKP/90BLURSCXn9CHaZrrEaKzp1B4VnTaF1bQd07G2n9dh+uzbtwbd6FpjAXy3FHYJo9GUkc0sQMlclI1s0X0/H+Mjre/pSOtd/grqsl/7xL0KSmxzu8H8XbFRLBBlv/QghVGAL4wqwwNGYUkjprDroIWc1qMrJ6BUP9qPhsAHUjSlBlpBKwtdP6TTlZcwfPwYevvduSVAiGggTiUNivfJftnzUAkHH48IhZzAuSA8vYfHRZZjzNdtybd2GcPj7eIQm6kWQZlTWFQLsdb2tXQgiG7sZOtv72bXztLrQlBWRefV5YLVgCnY7e/oWm0eP6NVbWaMk66Yxea9J4ozZaSDviaOQwK4x6xAbPzvKEqJxMVjQ5GbgAr6053qEIBjkpFQFqVnxFwGGn+rlHyD75J6ROPyzeYQkEMaGzs/N7/9bpdOh0urjE0t7e3vt9ZubBtYeMjP3V598dmwhrXn/99bS0tJCTk8O99947oNgORmI8PX0Ht9vdu/lWqVQceeSRHHnkkQwdOhSTyURlZSWvv/46a9aswel0csMNN+ByubjtttviHHn/MJQMpfiym6h58Un8jTYa7n6UrJsuRj9iYE00kxVNdgbGqeNwrt1KzVvrGPWL8DIQ+0ruCeNpXV3OhndrWHDjSFTq2Fi4FIyzojWo6GgPsGuHnzHj4icAqVQS9z6YykVn29i+1c+L133L1S8fjt4c2ZhmnF1MMKDw/p+3Uv/+Jrw2B2PuOBmVPvY/uyRJCSUWfhdJJZMxaygZs4birGmj9u31NCzdhq+mIWRX+sZSzPNmkjJ3JuqM1HiHe0ggyTKppy1AN6SIlscW4amrpvrphyi++hbUKZGvJHPs2Erz0ncwp5UyZN4FA5rDnDcMJXgMGYHBVwGi6RYMw60wNGYUkD31J5EICQBtRhbOPbvwN7ZEbM7+IskyptmT6VyynMbPdgwqwdDbJixJBYnHobJfAQj4g+xcHrIjzZwT2b7XgsRHkiWy5o2i5vW1dK3ZLATDBENltXQLhg4gJ66xtKzcw65/fITf4UGVaiHr5xeH3XrFuW4bBIPo8grRdveN7iuSWk3a7KNC3yeAbaPekknWhFPDn6eoFEmjIdBhx1fXhLYgvn/3ZEXdnazvs8Xv+T0cHDu30bz0XawZQyk58px4hyM4AJIkM/LEa6hYsYj2is00vfs6vpZmMo87JayECsGhhblaQaWN/72srwS8oViLir7fBuwPf/gDf/zjH+MQETgc+8+R9H1I3vmuxafdbk+YNd9++21ef/11AB588EHS0iLrFthDQl6dMjIyuPvuu6murmbZsmX86U9/4tJLL+Xss8/mtttuY/Xq1dxzzz29r7/jjjvYs2dPHCMeGNqsHIqvvAldfiFBexdN/3wGX11TvMOKOebjQ00/Gz/dgad5YB/C/pIxeygaqwF7s4edyxpjsiaASiNTOj1UnfTJR+6YrftjmEwyjz6TTnaOTHO5gzfv2ISiRP4mNOu8Es7751TUWhnbqr1s/s2b+B3x//kTFWNhGiNuXMDs/1zF0CuPQpdlJtjpoOPdz6n95d9ouv95XFt3o3R7YQuii2HCSPLuvBF1bib+jnZaPn4vKusEvR58rTZ8rs6Dv/hHMOcNp2D6iWRljo1gZImBVtstGIZZYRhpNBmhAwd/ky2ucZhmTwKgbW0lQX8grrFEkv0VhqY4RyIQfJ9DZb+y4um9ONu8aKwGUidGpjJbkFxkHhkSinsqvQSJgzo7tK+se29zVPZwfUFRFCpfWsW2P7yD3+FBO7SInDuuQZ0Wvj1+15pNAJjHTw57rsGCrFZjKOquMtxdEd9gkhh1TqiKI1krDINuJz5bM97udhSCxEal0TF0/sXkTQ0VSLR9vZz6114g6PPGOTKBILpUV1fT0dHR+3X77bcf8PXz5s1DkqSIfC1atChGP2XsaGtr47rrrgPgtNNO4+yzz47aWgknGGZkZFBRUcEdd9xxwH4fv/nNbzjjjDMA8Hq9vPTSSzGKMLKozRaKfnY9+uIhKC4PTfe/QKDLGe+wYop+RAm6UUNQfAGqX/02JmvKGhV5J08EYOUL+2KyZg+TTw0dtrz9upNAIP4ZIjm5Kh5+Kg2NBnZ83sjK58qjss64Y/O49KlZ6M1qOrfWsvHW1/DYEuvgP9HQmPUUnTuDWS9dwdjfnULq5CIIKrg27KDp3meou/0+Oj/68pC7ZsQDdWYamVedC0DnxrW4qisjvkbQExLRVVrRDP2H0KhDlsl+T/jvd/2ODjxNDQR9vrDnUptDB2KB9tgkvPwYmoIcZKOeoNdPV3lyZkv/EN7WUIWhyjr4bHYFycuhsl+p2tjGskdClZRDr54bVUt5QeJiyA3d54IOp0hWSzCspy1A0qhoXV1O7eINMV8/4PKx4673qXjuawDMxxxO7v9dgyYrfPv+QLsdz87QPn2ggqG7roausp0EvK6w4wkXV1sDvrbWiHyGdLn5APhqY5f4PNjoeY/62yPzN4k5Uuh+rChJGPshiiRJ5E85jiHzLkRSqXBs30zNs48S9PvjHZpAEDUsFsv3vuJlRwqQkrLfscjtPngBi8u1/9nBbB6Yw1ik17z55ptpaGjAYrHw8MMPDyimvpJwlqQajQaNpm+Wgeeeey6LFy8GYPPmzVGMKrrIOh35511K1eP/xt/YQssj/yH71kuRVPFtzB1LrKcvoOnvT1G3ZDNF589ElxF967H80ydT+9oaqja0UbOlncIJqVFfE2DMghwMVg31dT5WrvBw1NHxFwcmTNJy+x8s/Om3nXzy750UTEhlyPSMgw/sJ6VT07niucN47uo1OMqb2fjzRUz821kY8lMjvtZgQlLJZM0dRdbcUXRV2qh/fxMNS7fhb7TRtmgJHW8vxTBzMuajZ6EdUih6WUQJ3dAiTHOm0fXVOpo+eIviK2+OqI1IwNVdSaU1HOSVP4zf3UVXSzW59izQDj77RrO5gIIZJ6O39M+S6ofYvvif+F12iq/9Bfq8grDm6hEM/e0DrwyNBJIsox1ahHtrGZ076jGPTH6LqoDLS8AVEnVV1sjbAAsEA+VQ2K+47T5e+/UGggGF7PmjyTl28FWuC/qG2tK9V1EUgk4XqhRR8Z0oaItySTv3FFpfeofyJ1ZgHV+AeURs7v/uxk62/eEdHHuakNQyaT89A/O8mRGb37l2KygK+oJiNGkDEyDrX30eX5uNlFNuICUnPn2me6ha9RaOt/aS+5MLsEyeHtZc2uxQ6wEhGA4cVUYqqGSUQAC/vQONNTqWbtGi56xQCIbJR/qwqWiMVvYsexbj0BHI6oQ7lhcI4sZZZ53F5MmTIzLXqFHfb9OSmpra+31Ly8ETrG22/Q5S3x3bHyK55gcffMCLL74IwD333ENhYXSdX5L6ymSx7M82/64Km4yoU8zkX3AZ1U8/gHtbGW2LPiD9wvA97pMF/Zhh6EaU4CmrpPq1tQy/dl7U19RlpJB59BgaP9nOyhf2ce4/pkR9TQCNTsXkUwtY9VIFry9yJYRgCHD+RUbWr/Xy/mI3r962gevfmIM5M/Kx5Y6ycNWLh/PcVatpre5g+y0vMerP55AyPDviaw1GTCUZDL9+PkMum0PT5zupfXcjXXub6fpyLV1frkWdm4Xp8MmYDpsSkexewfdJO+sEnGu34qmtpnPTOqxTZkRs7mD3fUw9QMHQ0biPvZ8+S0NKHjOn3xixuBIFkymb3GFFB39hH1DrjPhddoKu8KsV1ebQs0igvRNFUeIq2Ou6BUP7zno4fXLc4ogU3rbQ30fSapD04fVBEgjiRTLuVxRF4d27ttJe60Kfa2XETceIZKRDGFmtQp2iw+/wEOzsEoJhgpGyYDaubbtxbdjBpl+8xvAb5pNz7Niofmbbt9Sw/c738LU70aQaSL/2YvSjIivIRcKOVNaHnqkD3vi3wnC3h1rPaLPC3/Nqs0Oi8KHYziZSSLKMOjMNf6MNX6st6QRDupNWleDgaUNwKGHOG8a4036BxpRKj+dWvPeRAkEicMMNN0Rt7u8KiPv2Hdxp8Luv+W/xMR5rPvnkkwCYTCZsNht33333D87x3QTV9957j5qaGgBmzZrFscce2+fYk1ow3LJlS+/3JSUlcYwkMujzCshdeAH1rz6P/ZOVaApzMc+N3GF0IiNJUqjK8N5nqH9/E8XnzUCbFv3NaOGZ02j8ZDvbPq6n/dbRpOYN7KC+v0w/s5hVL1Ww7BM3Lc0BMrPiX00qSRJ/+quVndv87Cnz8MrN6/jZk7PQGiN/mUgvMnLli4fx/NXf0rCrky23vsKwW04g++jREV9rsKIyaMk7eSK5J02gc3sdde9uouWrMvwNzXS89Qkdb32CbkQJpsOmYJw5QRzuRAhVqhnrafNpf+1DWj55H/PYCci6yAjrAXd3haHOOKDxrrYGAEzG5K8sizbq7t9xIAKCoapbMMQfINjlQpUysL9fJNAOLQbAvqshbjFEkv12pGaxgRYkLcm4X9n4bi2bP6hDVkmM+b+TUKfEzz5IkBhorAb8Dg8Bh5O+1dYKYoUkSWRcfjbND76IZ9c+dv39I1q/KWfELceiMUc2+bNzRz1Vr3yDbVWohYWmKJfsmy9BnRlZscXf1oGnLGT/nzJ+0oDn2S8YxjdZw+9x4neFrOu1meELhrqs0LN+oMNOwOGM67NnMqPOSg8Jhm2tEN8C1H4jyd3nR8lopyoAQJsSum6aKxU68n3UvvgkqTMOxzwhNoUMAsGhxtixY5FlmWAwyIYNGwgEAqgO4Oz47bf7W6aNHz8+7mv29Kru6uri97//fZ/Wf+utt3jrrbeAkJ1pfwTDpG1E4fP5ePrpp3v/ffLJJ8cxmshhHjeJjKNDjXBbX1iM+xBqZK0fNwLt0CKCHj/Vr6+NyZopw7NJnVxEMKCwelHke5L9GDkjzBRNSsXvh8VvJE62udEo88DjaVgsEtWb2nnl5+vwe6OTtWbO1HPFc7MZMjMDrzPAjj8vYfc/PybgDr+n2KGEJElYxxUw5vaTOOz1axn1qxNIm1YCsoSnrJLWFxZT+/M/0/Sv53CsXE/QGf8M22THctwRqHMyCTjs2L74JGLz9lQYDtSS1N0esiUymQZnta6iBOlqqaazdlfY2bSqCAqGslqNbOieL862pLqhIVsKZ1Urfkfyf9Z7BcNUYUcqSE6Scb9iq+rivT9vBaD44sOxjM2Pc0SCREBtCT2bBO1dcY5E8EOoUozk/PpKUs86Hkkl07xiN+uuep62jVVhz60oCu0bq9n0q9fZcOMrIbFQAtMRU8m949qIi4UAzjVbQnakxUPCqvxS6UOCabwrDHuqC9UWa0QSDWWdHnX370XYkg4cdbcbj681+Xp/S70VhkIwHAy4P/4aV8Ve6t94ibZvvox3OALBoMRsNnPEEUcAYLfb+eqrr370tcFgkKVLl/b++8QTT0yaNSNF0gqG99xzD2VlZQBMnjy5zxtwj8dDZ2fn974SjfS5x5IydiIEAjQ/+CL+lrZ4hxQTJEki9fQFANS9uxFve/gHuX2hYOFUANa9WYXPHTtLh2k/CVnrvb7I2ZspkAgMHa7m8efTMRgk9nzdwuu/2UgwEJ349GYNlz4xk3nXDEeSoP6DLWy44RW6Km0HHyz4H9RGLbnHjWPi385i9itXMfSauaQMz0bxB3Ft2ontydeoufkumv79vBAPw0BSq0k7/xQA2latwGtrjsi8KrMFTWY2GqPl4C/+AXorDAepYAiw8537KfvoCfye8O4PPRWGQWdk7jP7bUntEZlvoKgsKb2HH52DoMrQ27a/wlAgSEYGsl+J517F7wvy2q824HUGsE4spPi8yPUjEyQ32tTuSi0hGCYskixjPeVocn57HeqcTDzNDjb/8nXKn1xB0Nf/Pa6iKNjW7GPjzxex6bbXaF9fhaSSMc2ZRv5ffkHmlecg66NTfdy1JmSnFY4dKeyvMPTHucLQ3RES9bSZkXMB6bUlFYLhgOkVDNuS7+xB0upQp6ahNohn5MFA9tgjyRpzBCgKzR+8TcunHyTUGaFAMFg477zzer+/7777fvR1ixcv7rUHnT17NqWlpXFfc/HixSiKctCvSy65pHfMs88+2/u///vf/+5X3EkpGC5ZsoQ777wTAI1GwxNPPIEs9+1Hueeee7Barb1fRUWR6YcUSSRZJvcn56PLLSBo76Lp/hcIerzxDism6CeOQltaQNDtp+bNdTFZM2P2UHTZZpztPrZ8VBeTNQEmnJiP0SRRuS/A2jWJ9fedMk3LQ0+modHCto8beOfOLVF7YFGpZY65YRSXPjmLlAwdXRUtbLrhRRqWbhUPSWGgy0yh6KzpTHvsIqY/fSklFx2GsTgdxRfAtXHH98XDFd/GXehINoyTR6OfOCqU2PHhOxGZM+eUMxly029IK53Q77FKMIi7I5S9PFgtSSVJRq0OZWX73eEdWO63JI3Mwed3+xjGG+3Q0HONfccgEAxbu216hWAoSEIGul+J517lo3/soHZrBwaLhtG/ORFJlZRbRUEU0PRUGDqEYJjo6IYUkvenm0iZOxMUqH71Wzbc+ArVr31Ly1dlOMqbf9DRxdvmxLa6nIoXV7H1d4v55rzH2fp/b9G5rQ5JoyJl/mzy/3obmVecjSYvK2rx+1va8O6tAknCPG7gdqTwHUtST5wFwwj2L+xBl50LiD6G4aDJzgCSUzA0lg5l6K2/Y8TxV8Q7FEEEkGSZosMWkj/1BABaV3xK4zuvoQREj0qBIJJcdtllFBeH2ri89957PPzww//zmrKyMq6//vref991110/Ol9paSmSJCFJEsuXL4/JmrFiQM3J5s2bxxdffBGRAP7zn/98T209GGvXruX8888n2F16f9999zFjRt/7/N1+++3ceuutvf/u7OxMSNFQ1urIv+AyKp/8J77qeloeX0TWDT/ttR4YrPT0Mmy+/wXqFm+g6JwZEe+98D9rqmTyT5vMvqe+5JtXKphyemFMeiXpjGrGnljI2jeqef0VFzNmJVZ/mCOO0nHfg6n8/Np21r1Vjd6s5oTbxkTtdzNsdiY3vHkkr/9mI3u/aWHXP5bStqGKkTcfg8qgjcqahwqmkgxMlxxO6SWH01XRQvMXu2n+YhfOqlZcG3fg2rgDAO2QQgwTR2HoFu6lA3hrCyD9vJOp21ZG1+7tdJXtwDRiTNxi8dhtKAE/sqzGYIi8NVSioNEY8ftdBMKsMIykJSmA2mwNzZcAgqFuWBHO1Zvo2Fob71DCpseSVLamxDkSQTKSrPuVeO1V1rxWyTevVAAw9Bcnoc8eWLW7YHCiSe2+b4oKw6RA1mnJ+NlPMEwcRdvzr+PY04Rjz/eFJW1GCoZ8KyqTjq69zXia/zd5UNarMc2djeWEo1Cnxeaa0PVtqO+roWRob0LWQNlvSZoogmEEKwyzugVDUWE4YPZXGLbGORKBIHQWmjflWNQGM1Vfv0Hn+tUEnA7yzr4IWSPOwwSCSKDX63n66ac56aST8Pl83HDDDXz00UecdtppmEwm1q9fz1NPPUVHRwcAV155Jcccc0zSrRkJBiQYxovNmzdz/PHHY7eHHmZ/97vfceONN/ZrDp1Oh06XWMLMj6FJTaPgnMuofv4RXOu30/bye6T99LSYiFnxxDB5DJrCXHw1DdS9s5GSn86O+pp5J46n+oWV1G3vpGJdK0OmZ0R9TYDpZxaz9o1qPvrAxS9uN5OTm1gCzXEnGrjr7wp33NbByuf3kVZgZPYFpVFbLyVTxyVPzGTFU3v57KFdNH26A/uOBkbeeiypkxJP2E9GTKWZmEoz94uHK3bT+k059t2NePfV4N1XQ8c7nyHpdehHDUE3ogTt0CJ0Q4qQDclx7YwVmvxszMccjn3pV9i++DQswbCnmnag13dXWz0ARmMWkjR4E0s0agMuCNuS1JRdQuphR2EoKo1IXCpzqAIuESp19eNGANCxuYag14+sTapHve/R28NQVBgKkohw9yux3qsEg0rouevBXQCU/uwIMo8YHrP1BcmByhR6TwYdsWkZIYgMxmnj0A4rwvHFGnz1zfgbbfgbWwg63XhtDrw2x/4XS6DOzUJXWoh2SAHaIYVoi/ORdbE9qHZ+swkI344UwDhsFJJWR5oc316smaNmoSrNw1A8JGJz9lqSigrDAaPODgmGgS4HAbe7V2AWCOJJ1ujZaPQmyr94CVdVBf7ODrQZ0avqFggONY455hheffVVLrvsMtrb23n//fd5//33/+d1V155JY8++mjSrhkuAzpFOuuss5g8eXJEAhg1alSfXrdlyxYWLFhAa2so++f222/nT3/6U0RiSGQMJUPIW3gB9W+8hP2zVcjWFFJPWxDvsKKKJElYT5lHy2OLqH59LfmnT456laHGaiTr2PHUL9nM8sf3xEwwLBhvpXhyGlUb23jkfgd33mONybr94cxzjLTZgtx7j50P/7aN7OFmhs6M3u9HliXmXTWc0mnpvPrL9dhr29j0i9fIO3kiQ688EnWKeJCPFL3i4cWH423tonXNPmyry2nfWI3f7sa1aSeuTTtDL5ZAU5CDbmgx2mFF6IYWo8nLQlInlsgda1LmTMO+9Ct8LeFt1v32Diof+ju63ALGzL+m36JfSs4QSo48F2Pz4LYtkVWhQ6ugPzwbZ0v+CKTDRkYiJABUhu6eiF3xzWCHkJAtW1IIdjqw72rAOqEw3iENGHd9OwDqzMFbNSuIHmK/cnBcnT7evGMTO5eFKlTyT51E8QWz4hyVIBFxVYXe0+J6nHyoUy2knv79TPWAw4m/yYa/yUbQ4UJTlIO2uCDuyYHe6ga8lbWgUoVtRwpgKC7FUFyKuTK+bS5UR00gk/63HDgQGmvosxjodKAEg4PeiSoayAY9coqRoMOJv92GKrcg3iH1GV97G/WvvYDKKzH61P4VUQgSn9TSCYzQXYWrUCPEQoEgCixcuJDZs2fz6KOP8t5771FRUYHb7SYvL485c+Zw+eWXM3fu3KRfMxwGJBjecMMNkY7jgPRsvltaWgD49a9/zV/+8peYxhBPzBOm4O9y0PzB23S89QkqSwrmeYN7M2+cORHN+8vw1TRS8/pahlw2J+prFp8/k8alW9i7qoXqTW0UTYr+hliSJI67ZTRPXbKKNxY5+dlVJkqHJF41yOXXmNi5w8f7i928fdsaLls0l7R8Y1TXLJ2Wzk2L57L0XztZ+3oV9Us2Y/tmLyNuXEDmnBFRXftQRJtuIveE8eSeMB4lEMRR3kzHpho6d9TRuaMeT5MdX00jvppGWPFtaJBahSY/G21RHtqiPDTFeWgLc1FZDh37QFW3PVPA2UXQ70dWD+zz622sJ+h2o7Q7BlQhqDGYyRw5E6vKM6D1kwWVrAEgGPjf3jvxpKdHTtDljnMkofuKfmQpzrVb6dham7SCoRJUcNWHbDnU2bFJ4hEMLsR+5cA07O7kPz9fh63KiVorM/SGBeSdNDHeYQkSlM4dIScD3bDiOEciiASqFCOqFCO6oYnl4OL4ai0AKaPGojIdOvuJgaAymkCSQFEI2ruEG8MAUWel43U48bba0CWRYIgk4a6pBElGUZRB70J2KGLOG4Y5AD3+Na6qCjRp6WFbNQsEghB5eXn86U9/Ciu5s6KiIuZrHoznnnuO5557Lux5Ek+Z+C96Nt/Nzc0A3Hbbbfz1r3+Nc1SxJ232kQQcdlpXfErr84tRpZgwTh8f77CihiTLpC48luYHX6LmrfUULJyKNi26ApU+10r2grE0LN3GssfKuPjRmVFdr4fSaemMOiqbXSuauP8fdv71SOJl7kqSxF1/S6V8Twvbt/p56fq1XPniYehTNFFd12DRcMYfJjDppHwW/3ELtsoutv3xXTLnjGD4DfPRZYqNZDSQVDLmETmYR+QA04CQNWDnjno6d9Rj31mPfXcjAacXX1U9vqp6vtvRRrakoMnPDn3lZaHJC32vSrMMus2MbDIiadQoPj8Bewdy2sCEDU9j6CDOkJYbyfAGHbIcemwJ+sMTDIMBP74OBygh++9wUelClc+JIBgC6EZ0C4ZbauH8eEczMDwtdhRfAFQq1OmJV30vEHyXZNuvbHy/lnf+uBmfO4gux8K435+KeZS4/wh+GF+HC1dtGwDaYYklMAkGD4o/QNfXGwCwTInMPlwJBvE01hGoaMVSNAZZFfvjr/bKrbj9OgxFpcjayNm7SioVKoORgLOLQKdDCIYDRJ2VjndfTdL1Mey1T1WCKAE/kjq65zKC+GGuVOhqqqRm6eOozRYKL70WjTU13mEJBIJBTkILhv+9+b711lv5xz/+Eeeo4kfGghMJdDnoWPcNzY8tIucXP0M/Zli8w4oahqnj0JYW4K2opfrVNQy7Zl7U1yy+YBaNn2xj95fN1G7roGBcbA4pj715FLu/bOLD991cfo2P8RMT74HPYJB46Ml0zj2thcYyO4tuXc9FD89ApYm+/cmQGRnc8NaRLH+sjC+fLaflqzIcm/aRf8ER5J08EbVRNIGONtp0E5lHDO/ta6QEFdyNnXSVN+Eob6FrbzNd+5px1bYT7HTg6XTg2Vn+vTkkvRZNbhbq3Cw0eZlocrO6/50Z8/4okUKSJFRpVvxNNnwdHWgGLBg2AGBIy+v32K7mKhyN+8gPDgFTzoDWTxZycyajLS0lJbs0rHkcjfvY99xjaLNyKL3x12HHJXdv2oPOBBEMR5UC0LGtDiUQRFIln02Vq64dCNnfSapD2/pYkNgk037F2eFlyV+2sWlJHQBp00sZc/tJaKyGOEcmSGR6qgvVeVmoTNFN4BQcurg27QxVyqWYMQ0fHZlJJYnqJx9A8fsZf/bt6CyZkZm3jyiKQs2a9/B0tpB//s9IGRNZW1JVirlXMBQMjJ4+hr42W5wj6R+SVtdbYRrwupCFYDioURtS0GhNeG3N1DzzEIWXXocmLT3eYQkEgkFMwgqG27Zt+97m+5ZbbuG+++6Lc1TxRZIksk85E7/TQdeOrTQ98AK5v7kabUl8m3hHC0mSSP3JcTT981lq39lI4VnT0GVGN3POUJBG1vwxNH26g+WPl3HhA9Ojul4PuaMsTDy5gE3v1/LAfXaeeD4xb/75BSoefTadi862sefrFt69eytn/HFCTKrGNDoVx948mvHH57P4D5up3dZB+eNfUPeflWSfMo2ChVPQppmiHocghCRLGPKsGPKsZB6x3yI24PLSVWnDWdUa+qpuxVllw1XbjuL24q2oxVtR+z/zqdKtoWrEbgGx57/qjNSE78mhSrOE+sDYOwY8h7enwjC9/4Jh694NNG1bQTBvBqNHLRxwDMlAVtY4tMPC768jq0KbaiXMSsXe+XSJY0kKoC3KQ9JrCXR56Kq0kTI0+XpfuHsEwxxhRypIXJJpv7JjWSPv3LkFR4sHSYbiC2dT8tPDkjKhQBBbhB2pIBb02JFaJk2PWKKQJEmorWn4bM14HG0xFwydzVV4OluQNBoMQyLfUkNlMgMNBDqEYDhQ1FndgmFrkgmGkoSs0xF0uwl43WiMwqZyMKMzZzDq5OvY/eFjeNpaqH7mIQovvVb0NxQIBFEjIQXD7du3M3/+/O9tvv/5z3/GOarEQFKpyDvrImpfeBxXZTmN9z1D7h3XoMmJ7cNvrNBPGIluZCme3RVUvbyaETcfc/BBYVJywSyaP9vBjs8bqd/ZSd7o2Dx8zb9uBFs+qGXFMg9bNnmZMCkxK67GT9Rw30Op3HBlG+verCa9yMjcK4bHbP280RaufuUI1i+u5qvnymnZ10XVK6upe/Nbso6dQNE50zHkp8YsHsH3URm0WEbnYRn9feEr6AvgqmvHVd0tIta0dX/fht/uJtDaQaC1A/e2Pd+fUK1Gk5sR6pM4tAjdkEI0xfnI2sTJouzpY+jvHJhgqAQCeFsagYFVGDoaQpWcqalDB7T+oUhPFm7QFyHBsLvCUEkQwVBSqdANK8G9rYyOLTVJKRi6atsB0Ij+hYIEJVn2K64OH0v+uo2N74WSdYzF6Yz65QlYxvT/fiM4NOncHqpIFYKhIFoEOuy4Nu0CwDI1sm1BNKkhwdDraIvovH2hZfcaAFLGTtxvIRlB1Cmh9hxBUWE4YHoFw/bksiSFUMJi0O0m4EuM/YcgumhT0hh50nWUffgY7o4mqp95mKJLr0WbNbgdhgQCQXxIOMGwpqaG+fPn09TUBMCUKVM46qijWLx48QHHGY1GjjvuuBhEGH9kjYb8Cy6n+pmH8DbW0/j3p8i9/WrUmYnX+y5ceqoMG//6BPUfbKHwnBkY8qJrE2osziBz7iial+9i+RNlnP/PaVFdr4eMYhMTTgpVGT72oIOHn0rMKkOA+cfquf0PFv78h04++fcu0vKNTDwpdpWuskpi+pnFTF1YxM7PG1nxzF5qNrdT//4mGj7YROaRI8k9fjypk4uQtQl3mTskkTUqTCUZmEr+9/Df1+HEWd2Gq6Ztv5hY04arrh3F58dX04ivppGuVRuBUI9FdUEOuiFFaIcWYhg/EnVGamx/oO+gTgtdkwYqGHpbW1D8fmS1Fq25f9dxv8eF0xY6BE5LHTKg9ZMJr9dOV3MTap0RnWXgQtL+CkN/ROLqtSR1eVAUJSF6depGdguGW2spOH1KvMPpN72WpNmJey8UHLoky35l1xeNLL5zC/amUFVhwVnTGXLpEeLZSNBnlEAQ+66QbbpuuBAMBdHBsXI9BIPoC4vRRfjwW93dqzrWgmHQ76W1fCMA1gj1ZPxvVKaQYCgsSQeOplsw9LfZUILBhHe2+S6yXg8dEPAKwfBQQWuyMrK70tDd1hASDa+8CW364CwgEQgE8SPhdot79uyhsbGx998bNmxg4cKDW6yVlJRQUVERxcgSC5XBQOHFV1P97CP4Wppo/NuT5Nx+Ner02PTciyX60UPRjxuBe1sZlS+tYvQvT4j6miUXzqZ5+S62f9JA01472cNi00R83lXD2bykls8+9rBzu4/RYxOniuq/uehnJmqqAjz/dBeLf7cBS66e0qmxPdiVZYmxx+QyZkEOFWtb+fKZvez+spnmL3bT/MVuVEYt6TOHkHn4MNJnDkWdEr6VoSDyaKxGrFYj1vEF3/vflUAQd2MnzqpW7GWN2Hc1YN/VgK/Nia+qHl9VPXwRytzVFOdhnDIWw5SxaEvyYyrY7K8wbB/YBIEAxhGj0XrVSFL/NqmOxn2AgsGQgU43+K1oauvWsO/rz8gcfRglR5w14Hl6KgwjZUmq6rYkJRhE8fqQEqAnp37kEDqAji21CSNi9odeS9JssQEWJB6Jvl9x2Dws/edONrxTA4ChKI3RvzwBy9jB2cZAED2cVa0EnF4knRZNgahiEESeoMdL50dfAmCdfnjE59dYQ/vTWAuGbRVbCPrcqFPTMZQOi8oa6pTQGYUQDAeOKt0KKhklEMBv70RjTY13SH1GbbYQdDlBUeIdiiCGaAxmRp10Lbs/fBw5MxWNJTXeIQkEgkFIwgmGgr6jNlsovPQaap55GF+zjca/PUHOr68alKJh6k+OpWFbGY2fbKfonBk/WKUUSUxDMsmcM4KWr8pY9tgezv1HbKozsoamMP74PLZ8VM9D/7Lz0JOJXVnxq9+aqan289nHHl6/6Rsu/8880ouMMY9DkiSGzMhgyIwMGnZ1sua1SnZ83oi92UPz8l00L9+FSi2ROnMoOQvGYJ1QiDZd9DtMdCSVjCE/FUN+KhmzQ3abiqLgabL3iocdW2vp3BESDzuq6ul45zPUORlYT56H6fCpSOrI9EA5ECpr92bdYR/QeF1uPoUXXYW5sv+bPXt9yMI17RCxI5XlbqEvEJ7QJ32nwjAS2cSSVguyDMEgQacbOQEEQ+3QIiSVjLfFgbuhM+rV+ZFEUZTeCkONqDAUCPpMR4OLVS9X8O3rVXgcfiQJCs6aRumlR6DSJW4SmiBx6dgacjHQDi1MqsobQfLgWLaaYKcDTVo6lkmRd/bRxKnCsGX3agCsU2ZE7bPTU2EoLEkHjqRSoc5Iw99kw9faklSCYeHFVwMMaA8pSG7U+hRGnnQdskpNl1oc6wsEgsiTcFeWefPmoYgMmT6jsaRSeOl1VD/zMP5GG433PE7Ob66Kqz1fNNANK8YwZSyuDdvZ+8gyJvz1zKhXS5RcNJuWr8rY8mEdcy4dSsG42By2zrtmBNs/qefTpR6Wferm6GMi3+8gUqhUEv94IJWLz2ll62Yf/7llHVe+eDhaQ/RFmh8jd5SF0343gVPuGE/dtg62f9bAjs8baS53YPt6L7av9wKgzUzBPDIH88hczCNzSBmZgzZ1YGKnElTw291425342p1427r/2+4k4PQScHkJuHzdX14Cbh9Bjx9Zq0Jl0HZ/abq/tKhNWvS5VvT5qRjyUtFmmJKuOihaSJKEPseCPsdC1lEjAfC2O2ldsw/b13tpXVuBv9GG7Zk36XhvGVk/vwRtlDPiFY83FFuMH9YVRaG9cisAaWnRyVxONHoqMJVgeM8Jkvyda1QwGBL7wplPkpC1WoJud6iPYVr8qz1lnRbtkCI8eyppW1uB4dRJ8Q6pz3ia7ARcPlCpenvLCASJRKLtV2q3dbDyhXK2Lq0n6A/FlTI8m+E3LcAqqgoFA0QJBKl5cx0AhnEj4xyNYDAS9HjpWLIcgPSjjkFSRX4PqckM9XF2ttahKMF+u3kMhIDXjU9xgyxjiZIdKYCsDzlcBN2eqK1xKKDOSg8Jhm02GDI83uEIBH1C3e1wY65U6CyG1i8+wTxhCtqM5OtdLxAIEo+EEwwF/UeTmkbRZddR8+yj+JptNNzzOLm/vnLQHbKlnXcS7q27aFtXiW3VXjIPj+7DXMqwbLKPGUPTpztY+q8d/OzJWTERbXKGmzn8kqF8+Uw5d97RwYzZWlJSEjej12iUefCJNM48uYX6nZ288ZsNnPfPaciq+ApcsixROCGVwgmpHPfz0TTusbPxvVp2LQ+Jh94WB7YWR6+ACKBJNaI26VAZNfuFPKMGlV6LJIHf5SXg7Bb9ujz4XT4CTi9+uxslEIzez6JTo8+zYshLxVCUhnlEDuZRuejzrEJIBLSpRnKPG0fuceMIuHzUvbeR6tfW4mtupelfz5H3++tRWVKitr6voSUUR2Z2v8cGPR78XfYB9R3wOtrwux3Iai2ZGaP7PT4ZUZQAQNiZ2rJKjXVGt+1VhD5DslZH0O0m6PVGZL5IYJg8Gs+eSmzflJOfRIKhoyxk9agtzEHSiEdVgeCHCPiC7Pqiia9f2kfF2tbe/906qYjCs6aRMWsokiyeEQQDp+Hjbbhq2pDNJswLDot3OIJBiP3Trwnau9CkZ2CZPCMqa+hzC0ifeyyG4lJQgBhcFlVaPcXX3oqnoa63wjEq9DzDJlACSzKizsmAbWX4bC3xDkUgGBDO9z/H9u1HdKz7hqLLbkCTNrjOggUCQewRpzCDBE1qOoWXXU/Ns4/ga2mh4a9PkPPrK9FkR9e6M5ZocjIxH3cknUuWs/exL0ifMQRZE91KtiGXHoHti12Uf2Njz9ctjDgiNtk6R187kq0fN9BQ4+Tff7fz2z8ltpVcXr6KBx5L42cX2tj+WSNL7tnGKXeMSygxK2e4meNvGc3xt4zG4/RTv6OT2m3t1G7roG5bBy0VXfi6KwQHisGiwZShxZSuIyVDiylNi96sQWtUozOq0BrVaLv/q9HL+D1BvM4Ani4/XqcfjzOA1+nH2eGjrdpJa00X7XUugh4/zgobzgobrNq/ntqs762OtIzKxTw6F11mbPptJioqg4aic2aQe/x41t/4Cu66NpofeomcX10RtQpAX0MzAJoBZPN17d5O/esvYi0ai/m4y/s1VmdOZ9IFd6LaUolKFX8LzFigKCFh/nsVggNAVmvIOXXgPRB/CEkT+hv0VJwmAoZJY2h/YyntG6oIuH2o9MlhSWgvawJAWyIqowSC/6Z5n4N1b1Wz4Z0aulpD1xtZLZE5dzSFZ07DPFL0mROET9Drp/KFrwGwnjwP2SD6gAsiS9DlpvODFQBkzDsuKtWFEHIAyVxwYuj7GFk32kskJECfV3DQ14ZDb7WkEAzDQpMTOjPztiaXYGjfvpm2lcuxppZSOPPUeIcjiCMZI2Zg2/0t7o4map57lMLLrxe9DQUCQVgIwXAQobGmUnTZ9VQ/+wg+WzONf32CnNsuR5Pf/6qXRMV66tE4vlyLu66dhg+3kH/a5Kiup8+1knvaFGrfXMfH/9rJsMMykWOQra01qDj99+N57qo1vPy8k1POMDB5amILAtNnafnHv1O55fp2Vi+qxJytZ95ViWnpoTOqKZ2WTum0/ZlXbruPtlonnq7vCHhd/l5BT1FAnxIS/HQmNboUNTqjGp1JjTFVizFdi1oT+UrQgC9Ie72L1monrdVdNJbZqd3WQcMuO367m7Z1lbStq+x9vT7XgmV8AdbuL2NxxiFZYaCxGhh/1xlsuPEVPLsrsD3/NhmXnRUVEdsfRoVhV9kOAPSpA7tOy2oNFkvRgMYmI72CYQzspPqLrO0RDMPrrxhJNIU5qDJSCdjaad9YRcbs5LCu7a0wLInuQZtAkExser+WzR/UUbl+fx8uTaqR3OPHUXDGFHRZh3bCkCCy1L27CU+zA1W6FfP82fEORzAI6fxkJcEuJ5rMbMwTpsY7nIjRtm8zcu5oZF0MRPbufU24Vv2HOuruJHtfkgmGQY8bd3UF2qBI6DjU0RjMjDjxGnYteRhvm42a5x6j6LLrUaeIZ0OBQDAwhGA4yFBbrBRddj01zz2Kt7mRhj8/RvYtl6AbXhLv0CKCrNeRetoCWl96h8qXviHn2HGoDNGtmCi5YBa2jzdRv7OTzUtqmXxqYVTX62H44VlMPq2Aje/W8rtfdfDmB5lotYkt/JxwioGmpiB/+WMnnz6wC0u2jqlnJIeYoTdryBudeJWcKo1MRrGJjGITsL+Cze8L0lRmp2ZrqEqydmsHjWWduBtCX02fhoQotVmPZWw+1vH5WMcXYB6Vi6w9NC79ppIMxv72FLb89m26vlyHNj8Hy4lHRXQNJRDA12gD6He/ACUYpKtsJwDWojH9Ghv0+5BUalLLE6eaLRb0CIbh9hxUFAV/VxcAKmNkeoTK3RWGwQSqMJQkCcOk0Tg+/wbbN+XJIxju6akwFIKhQNDDe3dvA0CSIW3mUPJOHE/6rKHI6vj1jRYMTvxOL1X/WQ2A9fQFSNrkqE4XJA/BLhf2j74Eoltd2Luez4tzbxldZQ3kTpwftXWctjrKP38e1eoUSm/+P1R6fdTWAkAWlqSRQJMTag3ha21BUZSEckk6ECpTqOWGz+2IcySCREBrsjKyWzT0tTRR8/xjFP3sOlRGU7xDEwgEScihcWp8iKE2Wyi67HpqX34Kd00VjX9/iszrLsA4uX8H0olKyrwZdC79Em9zK7Vvr6f4gllRXU9jNZB3zmz2Pf0Vnz64m3HH5aHRxeZw5sRfjqXyq3rKdvt5+jEH196U+BlCF19moqkhwFOPdfHOHzaTkqlj5JzBU+WaKKg1MvljreSP3S9yerr8VG9qo3J9G5UbW6ne1I7P7qZ1dTmtq8uBkABpGpmLdXxBqBJxbD4aqyFeP0bUSZ85hGHXzGPvI8toe+0D1HnZGCdHrt+f39YOgQCSWo3amtqvsZ76GgJdDmSNjpScIf0aW7PmPTrrdjOy6HiyMsf2a2wyk5o6lLx0NabM4rDmCfq9lP/t9wAM/+09SNrwM3N75lDcnrDniiTGyWN6BcNkOATx2Bx4W7tAltAU5cY7HIEgYdDlWsk/aQI5x41Dlxm9vrwCQc2b6/B1uFDnZJIyZ1q8wxEMQjo//oqg0402Oxfz+MlRX0/x+ah75WkAMkfORK2PzjW0fuMnABiHjoi+WAj7n+mCwaivNZhRZ6aBJBH0eAh0OZKmKqsnTr/LHudIBImCzpzOyJOuZfeSh/E21lPz4hMUX3FT1JMyBALB4CPxPL0EEUFlSqHw0msxjRiD4vXR/MCL2L/4Nt5hRQRJrca68FgAql79Fl+nK+prFiycijYzhfY6F2terTz4gAhhStOy4FcTAXjkAQfle/0xWzscbv2NmdMWGggE4I1b11K7tT3eIR0S6Exqhh+exYIbRnLZU7P57dfHce2iIzjxV2MYd2wuKRk6Ar4gndvqqH71W7b9bjFfn/kI3172LDv/8RF172/GUd6MEhhcm86ChVPIO2kCKND6xCt4axsjNre/fn//QqmfVW9du0NVoJaCkf3qyacEA7Tt24SnoxlZPrTyftLThpE/9QSsxREUSSOUlJ2IlqQA+tFDkbQavC0OuvY2xzucg+Lo7l+oyctG1iW2FbdAEEumPfZTii+YJcRCQVTxdbioeX0tAKk/OVYcMgoiTsDhpHPpVwBkHH18v5+fB4LKaOptHeBoqorKGq62BtorNgOQPvfYqKzxP3Rb9AtL0vCQtBpU6aEk3GSyJe2tMHQ5UESVqaAbvSWTESdeg8psIW32UeI+LhAIBoQQDAcxslZH/gWXYZkyA4JBWp99k/Z3PxsUDxOm2ZPQFOUS6PJQ/Wr0hVCVXkPpJYcDsPzxPbg6Y3cgPOnkfEYckYXPC3f9tiMp/n6yLHH3P6wcfqQWp1PhtRtWYavqindYhxwqjUzB+FSOuHgo5/9rGr9evoBbPpjHT/48iWlnFpE1JGRP4axqpXHpNsr+/QnrrnqBlQsfZtOvXmffcytp/bYCf1diVUz1F0mSGH7jAqwTCwk4vTT/+3kC9si8H30NIQGmv3aksL9/obWwfxWP9vq9+N0ONBojaanRtZh0OluoqFxOfcMGOjqrCQQSSwwbKN+vsovMNbVHMAx6E8eSFEKHIPpxIwCwfVMe52gOjr23f2F+nCMRCBKLRK8OFgwOql5dQ8DpRVOch3HGhHiHIxiEdH60AsXtQZuTR8qY2L3H9MWlAHQ17ovK/PUbPwUgZdwkdNmxcUjovS8kwflAovNdW9JkQWXqroRUggS80U+iFyQPhtQcJv7kdiyThEuAQCAYGEIwHORIKhU5Z5xH+lHHANDx1ie0vvgOSiAQ58jCQ5JlUs88AYDatzfgaY6+DUPuceMwlmTg6vDx5dN7o75eD5Ikcepvx6PTwaqVXpa8647Z2uGg1Uo88HgaY8ersbUEef7qNdhbkiP2wYokSWQUm5h6eiEL75zIze/N4/Yvj+WnD01n7pXDGDIzA61BRcDppX19FVUvfcOW29/k64UPsfbqF9jzyDI6ttQkZRarrFEx7g+noc+z4m9upfnBF1EiYN/jawhtKnuylvtKwNmFu7YaAEth/+yiW8s3AJCVOR65H5WJ/SUQ8LFpy/OU7/uYHTtfZ936R3G723r//46OSlpadkZt/R/C4+nA1daAP+xeHfsP3iN1xiJpeioME0swBDB02/Amg2DYsbkGAO3Q5Oh/KxAIBIMFT4udusUbAUg7MzaVX4JDi0CnA/snXwOQOf/EmL7HDMUh+39HU0XE53a3N9G2byMAGXOPifj8P4qwJI0Y6uwMALy25BEMZbUaudv6VtiSCv4bWa3FXBna6PrtndiWf5wUxQcCgSAxELuAQwBJksg85iSyT/4JSBKOz7+h+YEXCSbgoWZ/MEwahW5kKUGvn71PfBH19SSVzJDL5wCw8oV9tFTGrmIuvcjInCtHAvCnOzqoqU4Oa9KUFJnHn0unoEhFa7WTV25eh9+b3GL1YMOUpmX0vByOvXk0lz8zmztWHcf1b8zhtN+NZ/KpBaQVGlGC0LW3mdq31rPxllf55vzHKXvwMzq21SbVQ6fGamD83QuRtWo8uyvw1TaFPae3vFvcyOqfYChptOSfdyl5U45Da7IefEA3AZ+Htn2bAMjJntivNfuDoijs3PUWLpcNgFRNDno5BYMhvfc1NXWr2bz1BeyO+qjF8d/sq/ic7W/9g+Ydq8Kcaf/7NlJFO3KPYOhNvCpMw8SQYGjfVY/fkbgVw0FfgM5tdQAYxg6PczQCgUBw6BD0Bdh+9xKCXj+6ESXoJ46Kd0iCQUjHkuUoHi+6/EJMo8fFdO1ewbC5Er87cvv4YMBP5co3QFEwjR6PLrcgYnMflJ59mKhADxt1Tkgw9NkS377/u6itaahT0wn6E2//IUgMTOU+qp95GNvnH9Hy6ZJ4hyMQCJIEIRgeQqTOmkPeuZcgadS4Nu2k8e9PEXAkr02kJEmkXXAqyBLNy3bRuq4i6mtmHDaMtOmlBHxB3rt7a0zFkiMvH0bhhFQ6OxVuua4drzc5hJqsbBVPv5SOxSJRvamdd/8U29+boH+o1DJ5o63MPLeEs+6ZzC8+OppfL1vAefdNZfKpBehS1HhtXdS9s5GNNy9i9U+fovzJFTj2NiXF39VUkoHGGsrEVALhCe9+WzveylqQJIzD+newJms0pIyZQP7U4/s1rq18A0GfB4Mhg9TU0n6N7Q+VVV/Q2LQJSZKZkXYaszPOZF72xeh3N6DdWYN2Zw3tzbsBaG+LXdVaIBASu2SNLrx5fPsTZnoqA8Mmgc9q1GkW1FnpoIB9V0O8w/lRHGWNBL1+ZLMJdV7/bX4FAoFAMDD2PrqMzq21qIxaMi47S1jgCiKOv6UN+2ffAJC54KSYv8e0mdkhMS8Q6HXriASSLKMuzUfS6sg85qSIzdsXAi4nALLJENN1ByOa7udOb0tyCYYl193G0Ft/izGzMN6hCBIUWaUmf+zRALR9+TltX0e/2EIgECQ/QjA8xDCPnUjhJdcimwx491bR+JfH8dva4x3WgNGVFmBeEOotuOeBzwh6o1t5J0kSI26cj1ors3dVC1uXxq6yRq2ROfe+KVitEls2+fjHnztjtna4lA5R889H0pBlWL+4hlUvVcQ7JEE/MGfpGX98HmfdM5nbVxzDRQ9PZ/KpBWiNKjyNnVS/+i3rrn6RtVc8T+VL3+Cqa493yAdkv64Z3kGFc8N2APRFpahTzOEF1Uead4YOWvLzZiBJ0bmFt3dUUr7vYwDGmOeQofvhDWiJcWL36yuiEscP4Q+EhD5VmCJf0B+aR9JoImeH1fO+StBDVu2wkMVn587Y3bf6S0d3daFueLE4rBYIBIIYUf/BZure3QQSpF91Qe/BuUAQKZRgENvTb4Dfj6F0GMbh8algtUyeDoCzpTpiczpKVWSdeAal198Ws96FPewXDI0xXXcw0isY2poi0rYiVojnZUFfyBw5i/zpoYSG5o/eoXPz+jhHJBAIEh0hGB6CGIqHUPSzG1FbrPjqmmj486P46sK35osXqT85FlWqBVdtO1X/WRP19QwFaRScNwuAD/62HbcjdvYPaflGTv1zqHHxi886WfpB8jS3nnOUjl/9NiSqLL13O3tWJU9/AMF+1FoVo+bmdIuHx3LefVMZuyAHtVbGWWmj4rmVrLn4aTbf/ia2NfsSs99hhNx7XN2CYcro8f0a17riM5o/fh/tVlu/ximKQuHMU0gfNoW83Kn9GtsfrJYiiouOpNg4nmLjj/9sqdrQoUhHZ1XMqksD/shUGMoqNZZps7BMjGQj+AR8r38HXXdPwM4dCSwYbq0FQDeiNL6BCAQCwSFCx/Y6yh78HIDUhcdh7O55KxBEks6lX+HesRdJqyHntLPjJnJYJk+n5LrbyLjogrDmUZQgzTu+pqMg1GpDkiQ0aRmRCLFfBJzdgmGKEAzDRZ2ZBmoVis+Hv7M93uEIBBEnd+J8sscdCUDD2/+ha8+uOEckEAgSGSEYHqLosnMpuuImtJnZBFo7aPjzY3j2VMY7rAEhG/SkXXAKAFWL1uCsaY36msXnzcRQkIq92cNnD+2O+nrfZfS8HI68bCgAd/yyg6qK5OhnCHDJ5SbOOMtAIABv37YGW1XyWuIKQKNXMf74PC64fzq/+eIYfnL3RIYfnokkQdu3FWz9v7f49mfPUvPW+sTqm9Yrbg38sCLQ5cS9M2TFmTKm74KhEgjQtuoL2r76HFdrXb/WlCQJc95wJhedjVab0q+x/VtHZqxvAmPMRx7wdVZNNpKkwuu143JH/7oLEOipMFSHJxhqjBZyTz+XnNPPiURYSYFuWDEA9h31CWkfrCgKnduEYCgQCASxwtPiYPud76L4Ahinj8dy6tHxDkkwCPFW1tH+xlIAsk44A21m//p+RxKV0YQuNz+sORRFoeabd6n6+k3qFz0X12eqoCu0l1YJwTBsJJUKTU4mAN7m5Emm79q7m6on7qdixaJ4hyJIcCRJonDWaaQNnQKBAHWLnsVdXxPvsAQCQYIiBMNDGE1qGkVX3Ii+sJhgl5PGvz+Fa3NyZpkYZ0xAP2Ekii/Angc/j/qDu6xVM/zGBQB880oFdTs6orref3PMjaMomZqGw67w8+va8LgT7/D3h5AkiTv/YmXSFA0dHQov37g2phWaguihN2uYekYRlz4xi1s+OJojLhmC3qzGVdvG3keW8e0Fj1L24GcxEfQPRu/1QR64YOjatAsCQbTZuWgz+m7d1bV7O4EuB2qDGWvRmAGvH2mCQT+VVSsIBv1od4Y2DgfL/lZJaqzq0Ma6oyM2CSeR6mEYDRJQg/se2uJ8UKvwdbhw18f2ntUXXLXt+NpdoFajKy2IdzgCgUAwqAl6/Wz/07t4bV1oCnLIuCJ+VV+CwUvQ66Pl8UUQCGAaPR7rtNnxDqmX2o4N1K1fihIM9Gtc3bqPaNr+JQDm8ZPi+rkRFYaRZX8fw+QRDAkEcNdU4rQJ4UdwcCRJpvSo8zDnj0BjTUOlF9cOgUDwwwjB8BBHZTRReOm1GEeMRvH6aLr/eRxfR64JeKyQJIn0i05H0qhoW1eJbeWeqK+ZPr2UrLkjUYLw7l1bCcbQelGlkTn3H1NJS5fZvtXPPX9Knn6GOr3Eg0+kkZ0j07TXwRu/2RjT350g+qQXGTnxl2P55WcLOO1348keloLXGaDunY2su+I59j6+HL/TG78AI9DD0LV+YHakHetWA5AxfDqSrOrzuNbyjVR/sxj15sj1XOlBURR27X6XveUfsWXry/0am6bNA2InGO7vYRieYBgM+Am43RHuURIhr9soIWnUIdGQxLQl7eyxIx1aiKRRxzkagUAgGLwoikLZg5/Tub0edYqOrJsuQtYnXiKOIPlpf/UDfHVNqFLM5Jx+TsKI0n6Hnab3Xqd+w8fs/uBRvI62Po1r2PQ5DZs+BSD7lDOxTJ4RzTAPSsAZqjAUPQwjgzoJBUO1NRUAb1fiJQMKEhNZpWbYgksYc/wNaNLS4x2OQCBIUIRgKEDW6ii44HLMk6ZBIIjt6dfxVCRfhpImOwPzCUcBsPex5QQ80a9cG3bt0ehMamo2t7Puzcgf5B8IS46e0+6ZjiTBopecvPRc8th7ZueoePipNLQ62Lm8iU8fSM7KVsGB0RnVzDy3hBsXH8XPnprFyCOzCPoVal5fx7c/e5amZTvjZOPTI+wMcLTXh2tr6D3bHztSf2cHXWU7AMgc2b8DhqZtK2ja9iXNLTv6Na4v1Desp75hLSBRqgzv19hc/XBGjjiVosIjIh7XD1FYMJvscUehMVrCmqe9YjN7//J/1Dz/eIQi+w6JcRb2g/TYknZu758dbizo6LEjHV4S50gEAoFgcFP//mYaPtwCskT61Rf22vAJBJHEtXkX9s9WAZC78HzUpujZ6fcXdYqZ7FPORNLqcDTuY9s799G2b/OPvt5W9i1lHz1O7dolAGQeewqpM2Pz7HsgAq5QhaGwJI0MmryQXa63uTHOkfQdtSUVgIDHSdAfx4RcQVKh0hpQ64yYK0PnIs6KchR/8rQ6EggE0UcIhgIg5Nmeu/B8UsZOgECQlsdfJehJvgcO6ylHo0q34m7opOb1tVFfT5eZQuEloT5fH/9rJw5bbPu0jTgiiwU3jATg7t938u5bzpiuHw4TJmm5+29WAFY8tZdPHtiVkH21BOEjSRLDZmdy8aMzufjRGaQXGfHaHOz48xI2//J1nNWxtSlVguFVgrl37EVxe1FbrOjyCvs8rnPTWlAUTNml6FNz+jzO1VpPV1MlSDJ5uVMHEvKPEgz62VfxGQAjUmaSpeufWGPVZFNYcBgmU2z60ZSWzKNo9ulhC4YBX+j+Jmu1kQgrRBJcv3QjQn/fzm0JKBj2VBiOEIKhQCAQRIv2LTXseehzAFLPOgHDhJFxjkgwGAl0Omh56nUAUmcfiWnE6DhH9L9YJk2n5LpfoC8oJuh2Uf7581R+9ToBnwefc797j71EosW2g87a3QCkzzuO9CPnxyvs79FbYSgEw4iQjJaksl6PpA1ViHsd7fENRpCUtH/7NTXPPkzje2+I8ziBQNCLEAwFvUiyTM5p56AyW/DXN9O2aEm8Q+o3sk5L2rknAVD1nzW46tqjvmbB6ZNJGZaFq9PHkr9uj/p6/83cq4Zz2IWlANz+iw4++9gd8xgGymk/MXLLr8wAfPHEHr59rSrOEQmizcgjs7lx8VEsuHEkap1M+8ZqNv/qDZRAJK0hf5ygL0DQG+pVMlBbpK7VmwAwjR6PJPftNqoEAnSs+waAzFEz+7Ve046VAGRljEGnM/dr7MGorV2Nx9OOTjZSapo0oDl6eh7Ggo5hkbFMC/q7eyFGUjDsJXFLDHvEOEd5MwF34vSP9bY5cVWH7MCEYCgQCATRoXNHPdt+/w5KIIhx5kQsJx4V75AEgxBFUbA9/QbBTgfa7Fwyjz053iH9KNr0TIquuJG0I+eDJNGy6xs2vvB/bP7PndhSWrCXhJ7prNNmk3nsyZTe9Bsy558Q56j3E3A6ACEYRgpNbkgwDDjsvdWbiY4kSWh6bUn7Zq0rEHwXiycVgM4Na2j94tP4BiMQCBIGIRgKvofKaCJ34fkAOJatpmvNj1tzJCrGmRPRjx1O0ONn978+iXqWjKSSGXHLccgqiS0f1rF1aWx7Q0mSxIm/HsuU0wsJBODn17Wx6qvYVjqGw9U3pPCL34REkM/+tY32elecIxJEG41OxdFXj+Cmd+ZiTNXgabbTvik2lr4tK/cQdPuQLSmoszP6Pd7f2kHX6tB10TJ5ep/HKX4/KaPHo01JI23I5D6P8zrasO1eA0Bh4eH9ivVgOF029u77GIDhKTNQSQPrG9fqraO+fh1dzuZIhvc/BAJeXK31+N3h2y/73d0WTkZT2HP1EOytWtREbM5Io06zIhv1EFRwNyZO79vWb/cBoC3JR5USub+JQCAQCEKEErRex293oxteTMblZyVMPznB4ML+2Spcm3aCWk3eWT9F1kQjOStySCoVWceeQuHFV6NJz0CbFXIBcVXs7X2Nafgo0o9cgDYzNo4afSHg7CLoCu2b1ZlpcY5mcCAbdKjSQw5InsaGOEfTdzSpoT50HrsQDAX9x1o0huLDfgKA7fMP6dy8Ps4RCQSCREAIhoL/wTR8VCjLDrA9+ya+JlucI+ofkiSRfulCZK2a9g1VNH68LeprWkbnUnjeLADevWsL9ubYVvnJssQZd05g7DG5+Lxw/RVtbFiXPJayl11tYvI0DV0Ohffu2iqsEA4R0guNjD0mF4DmFWUxWbPu3Y0AmOfNRFKr+j3e/vFKCAQwlA7DUNj3SihZpyPrhNMZf/btqDR9r5Jr2LIMJRgg1TqEtNQh/Y73QOzZs4Rg0Ee6toBCw9gBz1PRtYkdu96kvb08gtH9L3Z7Ldvfvped794f9lx+dygjWxXBfjqKN3TNlfSJfTCm6j5Ucjd0xDmS/bSuCQmG+omj4hyJQCAQDD5sq8vZ8n9vEXD50I8dTvZtlyPrEvteJUhO3Dv20rboAwCyjjsVXW5+nCPqO8ZhIym94dcUXXkTQ279LdZps+Md0gHp6bOnSrci6yPjwCEAbVEeAN6m2CaBh4MmMwtNWnq8wxAkMVljDid7/FwAGhcvwlW5L84RCQSCeCMEQ8EPkjn/RPRFpSguDy2P/ifpGuBqsjOwnHEsAHsf+wJvW/gVKQej5KezSRmejbPdx+I/bIm56KVSy5zz98kMPzwTp1Ph6kta2bk9cSznDoRKJXH336xotLBrRRObP0i8/lqC6DDu2NCmrOWrsqjbknbta6Fjcw3IEinzZvV7fLDLhX35agDS5hw9oBgkue8ipberg5ZdofVKSyPfK2XkiNPIyhzLeMu8sKoMeioTA4HoXm88XjsAGqM17Ll8rtBckRQMg55um9MEP7RR9wqGiVFhqASCtK2tAMAwMfF6HAkEAkEy0/zFLrb9/h2CXj+GyWPI/vklCX+fEiQn7t0VNP37efD7MY0ZT+qsOfEOqd9IajUqvaG3YiuR8XQLhpr8vvdFFxwcTWEomdXTmDyCYdYJpzPklt+SNTqxRW5BYlM44xRSS8aj+P3ULXoWX3trvEMSCARxRAiGgh9EUqnIO/siZJMB774a2t9YGu+Q+o3l+DloS/Lx293seXhZ1NeTNSpG//pEVBqZXSuaWPdWbCwWv4taq+KCf0+jeEoanZ0Kl/+0lX3lySH2Dh+p4bqbQof3n/x1E12tyWOrKhg4Q2dmYLBo8LU76dhaG9W1eqoLjVPGok7vv+hkX74axe1Bm52LacSYPo1RFIWmDxfjrCjHXNm/JAJZrSFn/Fwy0keSljq03/EeDL0+lWnqeRjV4QlwKilkwRkIRLeq2eMJCVwaoyXsuaJRYRj0hq5ZUoIfxPYKho2JUWHYub0Ov8ODbDKiG1YU73AEAoFg0NDw0Va2/3lJqGfh7Elk3fBTpAS2zRYkL549lTT98xkUjxfjsFHknXWRsLyNMt7mJgA0+VlxjmRwoU1CwVB81gSRQJJlSudegDGjkECXA/vmDfEOSSAQxBEhGAp+FE1qGrmnnQdA50df4ty4M84R9Q9JpSL9Z2eCLNG8fBctq/YefFCYmIZkUnJpKJvyg79tx1YV/crG/0ZrVHPRwzPIG23B1hLkZ+fbKNuVHJWGl1+TwqgxatrbFJb8dXu8wxHEAJVGZsz8UGZs84rdUVvH3+Wh8dPQeyplwWH9Hq/4/Ng/WQlA2hFH93lj5iwvo33VCmpffBy/x9mvNdU6IwXTT2LihEsithFUFIXOzhoAtDtrIjJnrARDb0+FoSn8CkNLwShSxk5Em54Z9lw9JFuFoSdBKgxtq7vtSCeMQJLFY6lAIBBEgpo317Hr3qUQVEiZO5PMq84dkBW7QHAwPOXVNN73DIrbi2HICPIv+BmyRgjT0cbbW2GYOH0VBwM9FYbexnrRJkVwyKHS6Bh2zKUUH3FWb5sqgUBwaCJOZgQHJGXMBFJnHwmA7anX8LclRkVCX9GVFmA5PhT/ngc+xd8V/aq1wrOmYZ1YiNcZ4LVfbsDvi67N4g9hsGi45PGZZA0x0VAf5Pyf2Pj6y8Sv2NNqJe7+uxVZhs0f1LFzeWO8QxLEgHHHhWxJbV9HT9Rv/HQ7AZcPdV4W+jHD+j3e8dU6Au121BYrlglT+jyudfnHAGSOmIVaZ+z3uta9nohmjTY0bmDt+kfYXfZuxOZU91qSxqbCUBuBCsP8qceTf96lEe2t01thmOB9ofZXGCaGYNjTv1DYkQoEAkH4KIpCxQtfs/fR5QBYTjiS9EsXioQMQVTwVNTSdO/TKC4PhpKhFFx4GbImsZ+DBgvelm7BME8IhpFEk5cJKpmgx42/oy3e4fQJJRCg6skH2PjqH/F7XPEOR5DkaFPSyBp9WO8ZhBDOBYJDE7FzEByUzONORZdXSNDhDPUzDATiHVK/sJ5xDOqsdDzNDvY9/WXU15NUMmNuPwmDVUPttg4+fWBX1Nf8IVIydFz54uGUTE3DYVe46pJW3ny1fxVO8WDCJC2XXmkC4N27tuJ2JEd1pGDglE5LR5LA02yPSr9RRVGoe2cjAOb5s/stwCl+Px3vh2yN0+bMR1Kr+zTOuW8PrspyJJWK3Il973nod3dRtvQpOmt3R/QB3ePppGzP+wAYI5j70VthGIyyYOiNnCWpvSTy1j09gqGsT+yDskSyJPU02+kqbwYJDBNGxjscgUAgSGoURaH88S+ofGEVANaFx5J67knCrk4QFbxVdTT942mCTjf6olIKfnoFsjaxXRYGC0GvB397SMwSFYaRRVKre0XYZLEllVQqfG02Ag47Xrst3uEIBgnmSoWAy0nti09g37ox3uEIBIIYIwRDwUGR1WryzrkISa/Ds7uC9rc/iXdI/ULWaUn/2U8AqHt3Ex1bImPDdyB0WWaG3noiAF89W07Zyuaor/lDGFO1XPrkLCaelI/fD3f8soN//8Oe8FlCN95qprhERWejm4/u3RHvcARRRmdSk1EaEontZU0Rn79jUw3OqlZkvYaUI6b1e7xj5XoCtnZUKWas02b1eVzrF6FrZcaImWhNqX0e17T9KzprdlD/1Xv9DfVHURSFXbvfwe93Y1FnUWqaHLG5Vd0VhsFoW5J6ui1JjeFZkirBAAFnF0owstXfSrL0MMwICYa+dhcBV3wTMnqqC7VDi1GZTXGNRSAQCJIZJRBk9z8/oeaNdQCkXXAKqacvEGKhICp4axtp/MfTBLuc6AuLKbjoKmSdPt5hHTJ4W0JnC7LZJJ6fosB3bUmTBU1aBgAeIRgKIojrk69x7tlFw9v/wV0f/XNUgUCQOAjBUNAntBlZ5J52LgCd7y/HuTG5RBzD2OGYjpwOwK77Pibgjv4haeYRI8g/dRIAb/7fJuzN7qiv+UNodCrO/ttk5l09HIDHHnRw6/XtOJ2xt0rtKwaDxF1/D4kCa9+oZvtnDXGOSBBt8kaH/t6Ossjb0Na8FTo8M86eimzs32GG4vXR+f5yANLnzO+zzZKzohxneRnIMrkT++7/H/C6adoWqoQuLZ4bsYO+lpYdtNh2IEkqJljnI0uRu/1n6ooZN/Y8iouOjNicP0RB/iyyxs5BZwmv76DTVsfev/6Off/+c4QiCwmyQW9IMJV1iS0YyiZD7+cg3lWGttXlABgmjoprHAKBQJDM+Ls8bPvTezR8uAVkiYzLz8Jy3Jx4hyUYpLi276Hxr08QtHehyy+k4KKrUemFWBhLvM2hvbGoLowO2m7BMFkqDAE0aekAeDqFYCiIHLkT5mEpGIXi81H38jMEuuzxDkkgEMQIIRgK+ox5/GRSZ4U2ny2Pv4qvoSXOEfWPtPNOQpVqxlXTRvmTK2Ky5tBr5mIqzcRh8/DqLzcQ8MdHpJMkiWNuHMXCuyaiVsOH77s5f6GN6kp/XOLpC7MO03HkvNDBe83m9vgGI4gqHqefinWhzY3GYojo3K1r9oV6I8oS5mMP7/f4jveX4W9uRWW2YJ1+WJ/GKMEgzR++DUDmiJnozOl9Xq9h8+cEvC6Mxiyyssb1O94fIhDwUbZ3CQBDjJMwazIiMm8PJnUqOdkTsViKIjrvf2OZN5/iwxaiNYVXYejragdAZUqJQFQhgm4XdFdu91eUjgfq7NB7wFUbv94sAZeXtrWVABgni/6FAoFAMBAc5c2sv/5lbCv3IKllMq+9gJTuJEmBIJIoikLnR1+GbEi7xcLCi69GZYjss7vg4Lhrq4H9wpYgsvRUGHoa6uIcSd/RpIcSKj2dyXVGJ0hsJFnFkKMvQmfNwt/ZTsObr/w/e/cdHtV5JX78e+/0qt67kOi9m25ww7j3GtvYTnGcsimb/HbTdlN2k01PHMeOHcct7t3YxtgUAwbTm2jqvbfp9d7fHwNyCWAJZjQjeD/PoweQNO97EEIz9573nBPvkARBGCYiYSgMScbFV2AsKEb1+uj805MoPn+8Qxo0jcVM2t3XA9Dy2h56ttfFfk+DjvE/vhyDRUvdjh7W/CE+8wyPm3F1AXf+/TzSM2SOHApx5SVdPPF3N+FwYrYoTUqOVFeZUxJ7JphwZjb+vRpnhx9jdhLZF0cnSQYQ9gap/ON7ANgumIc+L2tIjw80t9O/agMAmZdejawf5PehJJEybwn6jCxyZywf/H6uXtoPRPYbVXoJUpSqAOsbNuDz9WKUrZRaht6S9Wzjdx2b+ZISvcRpyBU5bSmbjUh6XdTWjZXjs1nc9T1xi6F7aw1KIIQ2Mw1dYW7c4hAEQRip2t6tYPfX/om3qRdNahJZ//EVLLMmxTss4Syk+AN0PfQsvc+uAlXFPnUmBXffj8Ys2mHGg7c+0qHBMLo4voGcpfRFkdelga6OgQ4iiU6fngGArz8+o3CEs5fWYKLsgpXIBiOBvvhdOwqCMLxEwlAYEkmrJffGO9BYbQSb2+n++0sJPw/vk0yTRmNbFqkSOvLrdwj2e2O+p7kglVHf/nieYcWa+La2KJ6eyl3PLKFwWgoet8ovfuLgxiu7OXggvrOsTqS3J1KRKRKGZ6++Vi+b/xG56C394iJkvTZqa9c9+SG+NgeatGSSr7loSI9VFYWef7wM4TCWsROwjp886MdKkoR9ygwmXv5ddKbBV7E173wHNRwiOamE9LToVVxZzBno9TbG2uejlaOfzOoLtNPevhe3O/rzJ4/zeLrxdDWhhM78oj3gjFzo6JJTznit48LHE4ZJtqitGUvHW1h5GuLXtqhzYyUA5pkTxYwtQRCEIVACIY7+9l2O/OodFH8I48TR5PzX1zGUxrbSXzg3BTu6afvZX/Bs3QsamYxLrybr6psH3aZfiK6wzzdQ+SYShrGhSbYh2yygqiOmLak+PfLa3tcfu+sx4dxlTM6kbNlKxl58X7xDEQRhmIiEoTBkWnsSuTfeCRoZz7Z9ON4envae0ZJ8w3K0ORkEut0c/f2aYUl4ZiwaTf51kcqel3+wj646V8z3PJWkbBP3PH4eV/xoIja7xIF9Qa67rIv//akDtztxZhseTxhaRMLwrLXm94cJ+hSSJueTvrA8auu6qjpoejEyuzD19iuRjUObK+fasB1/ZT2SUU/mimsGndBQQ5E2v7Z6dUhJEG9PKz1VkXjLRi2PagIlK2sKi5JvIstQGrU1P6nZe5iKQ8/R3rEvJusDNDV/yKHXfkfzznfOeC2/61j72xhUGGrs0WtzGku63MgpZE9DfE6Jhr1Beo7NLzTPFtUwgiAIg+Vt6WP315+h9a39IEHS1ReS+a070dhEpZcQfd4DR2n7rz8TbGxDtlvJv+MrpMxdKA76xJGvsQ5UFW1GKtqUM2vTL5yYJEkDVYb+tuY4RzM4+rQMtEnJ6HNzUMKJO3ZGGLlsOaPQm+3xDkMQhGEiEobCaTEVlZC5/GoA+l54B29FZZwjGjzZoCf9SzchaWS6NlbSvubgsOxbcs9C7BPz8LtDPP31nfic8a3ok2WJ2TcUcd9rS5l4cQ6KAv/4m5vLL+hi/fu+uMZ2nEgYnt2a9vexd1ULkgSjvrwkajcf1LDC0d+tAUXFPHMS5qnjhvT4UK+D3uffAiB96aXokgZXieZrbaL29z/HsWfHkGM2pmRRvPhmCgsWYrfnD/nxJ/LJwxBaWRezmztBNdKaWqeN3QwbtyfSXseUMrS2sicScB5rSRrNCkOnAwDNSKkwzDleYdiDqgx/l4DurdUo/hDajFT0RXnDvr8gCMJI1LW5kp1feQpXVQe6JBOZ376b5CuXIcnikl6ILiUQpO+VNXT85jEUtxdjXiFF934Lc/GoeId2zhPtSIeH/li7fH/ryEgYygYjpd/+Efl3fgVZE72OPYIgCMK5SVxdCKctadY87FNngarS9eAzhDpHTj9rQ3EeSVddCEDVn9fibe2P+Z6yVsP4H1yGPs1KZ42LZ7+9i3Ao/tV8tgwjN/1mOrf/ZRbJuSZamsN8+a5evvalXpqb4ns6TbQkPXupqspbv4wk6zMvnIBt9Jkngo5remUXziNtaCwGUm69fMiP7336DVSvH0NeAcmzFwzqMaqq0rHqFUKOfvx7hn4IQZJk0spmUDZq8DMPTyUcDrJz919pa9uN7lBjVNY8maASSRhqdTFMGLrbATAmZ5/ROqqq4ncda0kaiwrDEZIw1GamgUaD4gvi73QO+/6tb+8HwDx3iqhSEARB+BxKKEz1Qxuo+PHrhN1+DGWFZP74m5gmRq8zgyBA5HWSe/t+Wv7jt/S/9n5kXuGMOeTffT+6pOR4hycAntoqAIxjSuIcydltoMJwhCQMBUEQBCGaRMJQOG2SJJF5+bUYcvJRXB46/vgkin9kDIUGsK9YjKG8iLAnwOFfvo0ajn3yzpBuZeLPrkJn0lD1YRer/qciYWZAjlmUyddfXcSCu0rRaGDN2z5WLO3kL39w4vcNf4xer4rvWKGjqDA8+xx4p5WGPb3oTBpKVg4uKTcY3pY+6h7bDEDSDSvQpgytbYZn90E8O/aDLJN95Q2DPrXv3LcTX0Mtkk5P/uzBJylVJUw4GEm4JVX7hxTrqdQ3bMDhaKTm6NsoxDbxHzpWYaiNUYVhMOglEIgktUzJZ5ZYVpUw9plzsYybiDaKN77C7uMJw5HRklTSatBlRRKmnvrhnWPobe6lb1cDSGBbPHtY9xYEQRhpfB0O9n7rOZpeiHQvsF00n6zvfxFtqmhFKERXoLGV9l/9ja4Hnibc1YvWnkzO9beTfeWNyFpRsZQIlEAAX0vkIKBhbGxGDQgRAwnD9hbUcDjO0QyNqsT/ULogCIIwsomEoXBGZJ2e3JvvQrZZCDa20v2350fMCxRJlkn74o1oTDocB5ppfG77sOxrK89i9PdXIEmw7bkGtj5dNyz7DoberOWSb4/jvhcXUTwzFZ8P/vgbF5dd0MnaNcPbpvR4daFGJ6M3a4Z1byG2gv4wq393GIDcG+ZgSI9OkkVVVY7+bg2KP4RhXCnWRbOG9HjF66fnydcASJm3BEP24Folhn0+Ole/AUDOlAvQW5IHvWfXkY+oePF/8X64bUixnorH201DQ2S27Fj7fDSSLmprn8jxCkOd1hiT9d2ejsj6liQ0+jPbQ9ZoyVx+JXk3r0TWRe8gQsg5sioMAXS5H7clHU6tb0WqC42TxqBNj15bWEEQhLNN99Yadn7pSRwHW9GY9aR/9VZSb7kcSSRvhCgKu9x0P/EqrT/6I/5DNUg6LamLL6T469/DNmlavMMTPsHXWAfhMJrUJLQZqfEO56ymzUxDMupRQyEC3Z3xDmdQnAf2UP1/P6F2/VPxDkUQBEEY4UTCUDhjuuQU8m5YCRoNnh0HIu1LRghdRirJt1wJQN3jH+I43Dos+6bPL6fknkUAvPWrgxzZ0D4s+w5WVrmNux+byw2/moYt00BjQ5j77u7lS3f2cKgi9rMXVVVl57ZItaot0yBa1p1lNj1WQ1+LF0OGlYLrZ0Zt3bZ3DtC3uwHZoCXtrmuH/H3T9+oawj396FJSSVty0aAf17PhXcIuJwZ7OlkTFw/6ceGAj5Zdqwl6HASD7iHFejKqqlJZ+SaKGiJNX0CWIfanjwdaksaowtDtjiQMTWfYjjSWwiOsJSl8nDB0D2OFoRIM07b6ACCqCwVBEE4m7A9S/dAGDvzgFUJOH/qSfLJ+8g0ssybFOzThLKJ4ffSvWk/L936Na+1WUFWsE6ZQfP/3SV+2HFlviHeIwmd46qqBSDtScX0cW5Isoy/IAcDf2hTnaAZH0ukIOx34+jviHYogCIIwwomEoRAVpqISsi6/HoD+197H9eHuOEc0eJYFMzDPnowaVjj40zcJ9nuHZd/8G2aSvXwiqgLPfmc3Tfv7hmXfwZIkicmX5vLNN5ew8O5R6HSwYa2fq5d3cfXyTn73Kwe7tgcIhaLXrjTgV3ntJQ/XXdbNd7/RB0Bm6cho8ScMzkfP1vH+n48CUHLPIjTG6FS/9R9opvKPkcMK9qsuQpc5tPl03gNHcb4baWWaueJaZP3gqs+8jfX0bolU8xXMuXJIQ+Zbdq0m5HNhMqWRlxud5El7+x66e44gSRrG2xfG/GaCooYJHmtJqtOZY7KH290GgPEM25ECBFy9A/MGoynkcgAg20fOzytdfiQB27+vcdhaY3dtqiTY50WTbMc0deyw7CkIgjCS9O1vYueXnvy4BemF88j+jy8P+XWNIJxM2OGi98XVNH3rf+l74R0Utxd9Vg75d36F3BvvQJciKtcSlafqCCDakQ4XfWGkLamvZWQkDPXpkcOAvv7OEdP1SxAEQUhMop+JEDVJ02cT6Gqnd9M6uv/+Itq05BExjFuSJNLuvIZAXTP+9m4O//JtJv7saiQ5tjfaJUmi/BsX4O9w0ruznie/up0vPjWPtEJLTPcdKoNZy8X/NpbpV+Wz7sFKDrzTwqGKEIcqQjz0ZzdJSRLzFxtYfL6BBYsNpKUPvX1oV2eY55728MyTHro6Iy9u9QaYtKKA879SHu2/khAnG/9ezerfRlqR5l0zncyl0UkYeJp6OPCjV1GDYUzTxmO/eGgzEUO9Droeeg5UlaSZ52EZPW7Qj/XWVoGikFI6jaTC8YOPuauJjoMbARhddjmyfOZPx36/g6OVkdaoZZYZWLTJZ7zmYEyZfAceTxd6fWyq67KzpqHmpmLJLD7jtZp3vE3PcztJv+hyUhecf+bBAWo4TNjtAhjyzMx4Mk0eg8akw9vcR//eJpKnFsR8z5Y39wFgXTwLSSNaTQuCIBwXcvmpfXQjLW/sBUCTbCP1jqsxTxv8awtBOJVQdx+Otz/A9cF21ECkY4w+I4uUBUuxT54unpcTXLC/D19zA0gSpini0NVw0Jfmw/vga26MdyiDoktJQ9JqI21UXT0Y7OnxDkkQBEEYoUTCUIiq9AtWEOzpxnVwH51/fJLsH96HLjvxX6jIZiMZ999K+8/+Qs+2Whr++RFFt82N/b5aDeN/fAV7v/UcrqoOnvjyNr741DwsqYnXAiajxMoNv5rGpd8bT+XmTo5u7KRqcyf9/UHeet3HW69HZhza7RJ5BRry8jXk5WsjvxZosNkl+noVeroVensiv/b0KPR0KezYHiAY6UCKLdPAnJuKmXV9IZaU6M0YE+JHCau8/X8H2fJUHQCFt8yh+K75Ual+C/R52P//Xibk8KEvLSD9yzchyYMvnlfDYbr++gyK040hO5eM5VcOaf/URctI0eZjTs8f/J6KQv3mF0BVycycTFra6CHteTJd3YcJhX0k6TIpsUyPypqfR5Y0pKWOJi01On+HE7Hb81FHjYrKWr6+SPtnfVr0npdCTgeoKmg0yLbEOvBxKrLRgGnONFzrt9H61r6YJwzd9d30720EWcIq2pEKgiAAkVbiXRsrqXpgLYHuSHty66JZpNx4KbIlNq2+hXOHqqoEaptwrt2Ke8tuCEcOZhryCkhduAzr2IlDet0sxI/rcGQGtKGsEG3yyDmgNpIZSiKvjf2tTajhcMIn1SVZRp+eib+tBW9fu0gYCoIgCKdNJAyFqJJkmexrbqHp2Am4jt89RvYP70NjTfybqPrCXFJuv4ruR1+k7vHN2MflkDKjKOb7as16Jv78anZ//Rm6Gxz844vbuOvROZiTEjNZZk0zMO2KfKZdkU84pNC0r4+jGzs4uqmT1kMOHA4Vx7EKRPAPet38ycnMu62ECRdmo9GJC9ezRdAX5oXv7ebg+5FETem9iyi4cVZU1g77ghz4wav4WvvRZqSS+c07kA1D+3/T/9r7+I/UIhn15NzwBWTd0P/f2fOGlizrPLQZT1cTGr2R8lErhrzfyeTlzsZszsDc6ECWzp7/Q/2jonOAQlUVvMcThpnRm4cYcvQDkWqQkXbTzbp4Nq712+jcWEmZw4vOHrub062rItWFpinj0KYmxWwfQRCEkcLX7qDqz+/TvaUGAG1WOql3XIVpfFmcIxNGulB3H+4Pd+PavItQW+fA+00l5aQuWoa5tFzMwBthXAcjCUPzjIlxjuTcoc1ORzIZUL1+/B1tGHPy4h3S59JnZuNva8HX2waFE+IdjiAIgjBCiYShEHWyXk/urXfT8PDvCbV30/nHJ8n6zt1I+ujMKosl68KZ+CvrcH2wg0P/s4oZf70dQ3ps2ux9kiHNyuT/vZaD336a1sMOHv/iNu782xxM9sT+mmm0MkXTUymansqF3xiL3xOir8VLX7OH3hYvfc1eels89DV78blCmJN1WFINWFL0kbdUPeYUPVllNnLHixvIZxt3j5+nvraDxr19aHQyo/99OZnnR6eFjhpWOPSLVTgPt6K1Gcn81l1ohjg/znugkv431gGQddkNA3MfPk/Y66Vj1UukX3Apqf0pQ47d7+gGoKz4YgyG6P58yWrTgW745hy1+2rwt3eRklyKwRD9085OZws9NX1YMoow2M5spk7A2YMaDiJptehSovc1CjkjCcOR1I70OH1xHrrCHIINrbS/d4j8a2JTmRr2BWl/twIA2/lzYrKHIAjCSKGGFZpf3U3tY5tRfEEkrYx9+RKSLj9/RFwvCYlJ8frx7NiP68Nd+A/VDLxf0uuwjp1E8tyFmPJjfxhWiL6w24W3rhoA0wyRBBoukixjKCnAd7AKX3PDyEgYZkRmvnt72+MciSAIgjCSiYShEBNaq4282+6l4dE/4j9aR9fDz5N+380jovoi5bYr8dc1E2xo5eBP32TKb25A1sa+/YS5IJVxv7yZg9/9J80V/TzxlW3c8dBsjNaRc+PAYNaSVWYjqyz2SVYhsXU3uHniy9vobvBgsusY/V/XkDxp8G07T0VVVar+vJbuD6uRdBrS7r8DXU7GkNaIzC18dmBuoX3y4BMlnW+/gnPfLsLNHaRc+c0hn9AuOO8qCo0Tsdmic9HZ1r6HJHshSfWeqKw3FDXu3fQfamfi+JvJzJwU9fXb2vfQuHMTGePmUzjvmjNaa6C6MD0zqs9FH1cYjrxDD5IkYVs8m54nX6P1rX3kXT0tJhUHneuPEHL50WakYpwo5tIKgnDucla2U/m7NTiPRp6TDOVFpN55Dfq8rDhHJoxEoT4H3j2H8e45hK+iEjUYGviYqaQM+9SZ2MZPRjYY4xilcKZcRypAVdEX5aLLOLMDdMLQ6EvzIwnDpgaYeV68w/lcxtwCTEWlmFLEc4ogCIJw+kTCUIgZQ2Y2eTfeRdOTD+PZsZ/ep62k3HZFwrc/kfU6Mu6/jfb/+iOOihZqHv6AsvvOH5a9LSXpjPvfmzj478/SuLePJ+/bzhf+OhuDWfxXFUaOhj29PPW1HXh6Axiz7Uz4+TVYiqJX0dXwz49oeWMvSJD2xZswjikZ0uM/ObdQn5UzpLmFzoP7cOzZAZJEwXlXnfbPM7s9OvPi3O52Dh1+CUmSmZ96Axbt8CWtVFXFHeoFwGweWsJ2sJyulsj66WeeXPX1tgHRbUcKn0gYjsAKQwDLedPoe34VnrpuHAdbSJoQ/dPTLW/uBcC6ZPaIODgkCIIQbSGXj9rHNkdevygqGouBpOsuxbp4lvi5KAyaqqoEG1rw7DmEd89hArVNn/q4Li0D+9SZ2KfMQJcsEktni+PtSE3TRXXhcDs+x9DX3BDnSAbHUj4WS/lYbPVqvEMRBEEQRjCRhRBiylxaTs61t9L6wpM439+CbLeSfOWyeIf1uXSZaaTecyOdf3iC5pd3YR+XE7VWip/HWpbJuP+9kYPfe5b6Xb089dXt3P6X2ehNiT1kWxAAKta08sL39xDyK1hHZzHpZ1ejT43eDNO21Qeoe2wzACm3XoFl1tCr2vpf/XhuYe6Ndwx6bmHI5aTj9RcAyJ68FGvW4BOV4YCPxq2vkjPtIjI7ovP1UFWVI0dfQ1XDpOsLMGuGN2EVULyE1AAgYTJFvw2qqqq4nMcShmlnXp16vDXP8VY90XK8JelITRjKZiOmmZNxb95F61v7o54wdFa24zzchqSVsS6cGdW1BUEQEp2qqnS8f4jqhzYQ7I10AjDPmULKzSvQJo/M5w1heIX6HPgOVuOrqMR3sIpwr+NTHzfmFWIZMwHr2Anos3IS/nCuMDSK34e75ggA5plifuFw05dGEoaBjjYUvx/ZEJ3Z6rHmLJJE0lAQBEE4bSJhKMScbeJUQm4nnateof+VNWiSrNiWJP4MI/O08dhXLMGxaj1Hfr0ac2Eq1lGDm3F2pmyjsxj3ixs4+P3nqd3ew9Nf28Ftf56JziiShkJiUsIq6x+qZO1fKgFInVvK+P9cgcY0uGTcYHRvq+XIb94FwH7pYuwXzBvyGp5dFfS/sRaArMuuH/TcQlVVaX/9ecIeN6bUHHKmXTSkfVt2raa7cju+lkYyZn4tKjdz2tp20ddfhyzrGG9fOOw3iNzhSHWh0ZiCRhP91sk+Xy+hsA9J1mBMPvMkX0rxJJQMM+bisihE97HjFYbalJHXkvQ465LZuDfvonP9EUZ9aTE6uylqa7e+EakuNM2cNOQ5o4IgCCOZu66Lyj++T/++SBWYNjuD1C9ciWl8dJ+HhLOL4vXjO1wdaYN4sJpg86dnkUl6HebSMVjHjMcyejxam0g8n83cRw9BKIw2Ox1d7vDcixA+pk2xo0mxE+514Gttwlw8Kt4hDYoS8BMOhNHoo/eaXhAEQTh3iIShMCxS5iwk7HLRs2ENPY+/imw2YZk9Od5hfa7kay8iUN+M70AlB370GtP/fAv6lOhVS52KfVwO435xHQe//wLVW7t46v4d3PrHGehFe1IhwTTs7uHN/6mg5WDkxHPe1dMY9eUlSJrotdjq3lbLwZ+8DoqKZd40kq+/ZMhr+Gub6Hr4OQCS5yzAPnnGoB/b99Em3IcrQKOhePEtyJrB/z90d9TTcXAjAGWjlkclsRcIOKmqfhuAcstMTJrhnxvqOtaO1GJOj8n6DmfkBqspJWdIX++TSS6ehKYo+s87I70lKYChrAhdbibBlg5qHv6AMd+5OCrrBh1e2tceAsB2fuIfFBIEQYgGf6eTuie20Lb6ACgqskGL/fJl2C9ZiKQVr+OFT1O8fvyVdfgO1+A7XEOgrhkU5eNPkCQMOXmYS0djHjUaU2HxoLtjCCOfsyJy8Mo8Y6KoHo0TfWkB3p0V+JrqR0TCsOOtV+jbupHcmZeSMyXxu3sJgiAIiUdcsQjDJm3pJYTdTvp3bKXroeeQjQZMk8fEO6xTkmSZ9C/fTNtP/4K/vYsDP3yNKb+5Ho0h+tU0J5I0IY9xP7+OQ//5ItVbu/j73R9x+wMzsaSOjFYYwtnN2elj9W8Ps+eNZgAMVi3FX1lG9sXRbZfTueEIh/7nLdSQgmnKWNJWXjvkC+ZgWxcdv30M1RfAXFpOxiWDn1uoKgrOfbsAyJ+5AnNq7qAfq4SC1G18DlSVrKyppKWWDynuE8ZzrBVpMOTBpk2jyByfwxc9gci/e7TmMX5Wf38dAJasoqis5yyK/k0WNRwm2NcDgDZj5M4KkiSJlNuuoOP/HqHtnQOkLywnbU7pGa/b/NoeFF8IXWEOhtFDmzUqCIIw0gR63TQ8s42WN/aiBsMAmGdMIOXmy9Cmp8Q5OiFRKF4f/sr6kycIAV1KGuayMZhLyzGXlKExD8+BVSGxhNwuXEcqALDMSfzD1mcrw6hCvDsr8DbWxTuUQdHaIl1PvN0tcY5EEARBGKlEwlAYNpIkkXnZdSg+H84De+j881NkfnslxjGJfRNRYzWT+W930PHzB3AebuXIL99h3A8uQ5KH54Rf8uR8JvzyBg7/8EWa9vfx8O1buOOvs0ktMA/L/oLwWaGgwpYna1n310oCnjCSBFmXTKRk5UL0KdH9vmx5Yy+Vf3ofFBXz7Mmkf/GGIZ/OD/U6aP/1oyhON4bcfHJvvgtJM/j2vpIsk3/XfQTWbid9zNyhxb/rHXx97eh1VkaXXTakx55MV/dhOrsOIkkyk5KWIUvD36pYVVV6ApGL0JSU2LRW6+2rA8CWfeYneb29bXjxYsjJR9ZH71R+sK8HFAVJrxvRFYYApvFl2C5agHP1Jo7+9l1m/u2OM2pNGvYGaX4lkmhPWrFEnIoXBOGsFXT6aHx+O82v7ELxhQAwjCkh+bpLMJZH59CLMHIpHh++o7X4D9fiO3IsQah+eraYLiUVU3EZ5pJRmIpHoUseuYeQhOhx7t0J4TD64jz0hYM/sChEl6G8GABfQx2qqib8a1pDTmQeuaenOc6RCIIgCCOVSBgKw0qSZbKvuQXF78ddeYiO3/+DrO/eg6E0NhUq0aLLziDtq1+g49eP0PnBUUz/2EzJygXDtr99fC4Tf38b+77/Et31Dh66dTNfeHA2eRNG7swsYeRRwip732zm/b8cpa/ZC4BtbA5l9y/FPjY7qnupikrtoxtpfG47ANbFs0m94yokeWhtThW3l47f/J1wVy+61HTybrsX2WAcXAyfuCBMatHC2POGtLezpYr2/RsAGDPmKnS66CRT01LLKS46H123G7suNu1AP48kScw579t0dR8hKUYVhqOu+BLOtmpsuWdeldl5cDOdhz8kZf4SMi6+IgrRRQS6OwHQZqUN+XszESVfezHevUcItHVS9cA6xv2/S097rYZnPiLk8KHNTMM8M7pVx4IgCIkg5AnQ/PJOGl/YSdjtByKt65KvuQjjhLKEv6ksxIbiD+A/Woevogrf4WoC9S0nSBCmYSoehbmk7FiCUFSgCp+mqir9uz4CwLpoVpyjObcZivNAqyXsdhHs7kSfntizJA3ZkeSy39FFOOhHoxPdqQRBEIShEQlDYdhJWi05N95B85MP462vof3/HiHrO3djGFUY79BOyTi2lNQ7r6X7kRdo+OdHmPJTyL5owrDtby5IZdofb+bAf7yMq7qTR+/aws2/m0H5/Ixhi0E4N6mqyqG17bz3pyN0VLkA0KdaKLl7AVkXToh6ta0SCHHk/1bTse4wAElXX0jSFUuHfONNCQTp+MPjBJva0Fht5N/xJbTWwc/663zrFWSjibTzLwaG/nds278OUMnNmUVG+vghP/5kZFnLWP84sEZtydOi05nJyZ4Wu/XNdlJLo7O+u6sRAGNedJ9ngl2RhKEu6+z4OSzrdaTfez1tP3+QjvcPkbGwnPQFQ0/Yepp6aHw+kuxPuenSIVX0CoIgJLqQJ0DLa7tpenEnwf7IASpdfjbJ116Eaeo4kSg8x6ihMP7aJnwHq/AdrMJf1QDh8Kc+R5eajqlkFObiYxWESSJBKJyav6WRQEcbkk6LZc6UeIdzTpN0Wgyl+fiP1uFtqEv4hKHWakNjsxN2OvD2tGLNKo53SIIgCMIIIxKGQlzIej15t91L81N/iyQNf/0oWd++G0NZYicNrQtmEGzvwvHGOo7+9l2MmXaSpw5fdaQhzcqU395IxX+9Tt+uBp786nau/q/JTLsyf9hiEM4t1R91seYPR2ja1weAya4j+4a55F05DY0p+rM8g04fFT9+jf59TUgamdS7rsW6YMaQ11HDYboefAb/0Tokk4H8L3wRXUraoB/fv3s7fR9tAkkiwzYWTuNCa9SyO+nb8B6FBdGpRg4GPWi1RiRp5FeyDSclHMLbE2mfasyL7s/rgQrD7PhUesaCYVQh9ksX43hzPUd/vwb7xDz0yYOvjlVVlao/rUUNKRgnj8E0LXrJckEQhHgKufw0v7qbppd2EnL6gMjP/+SrLsQ8e9JZUWkuDE6oz4F37xF8+w7jrahC9fk/9XFtUkpk/mBpOaaSUejsyfEJVBix+ndGqgvNMyciW06/RbwQHYayomMJw1qSps+Odzify5idh9vpwNPdLBKGgiAIwpCJhKEQN7LBEEkaPv0I3rrqSNLwOysxlCX2rI/kqy8k1N6NZ9s+Kv7rdab+/iYsRYNPRJwprcXApJ9fw5Ffr6bj/UO89J97cXT6WHT3KHGiWYiaul09rPtLJdVbuwDQmTTkXD2TghtmorUOrqXnUPnaHez/j5fx1HejMetJu+92TBOHXt2kKgrdj72Md/dB0GrJu/keDNl5g4+jpYmON14AIGfqhad9kSVrdZQULz2tx57IwUPP4w+4mGxYgD5OrUgB+gLtHAptJ6t5Kvl5Q5vpOFhHjr6G6kwlfcxcdKYzK6X09rSgKmFkswVtlGcCBbuPVxgO33PAcEi+8gK8ew4TbGqj8g/vMf5Hlw/6+aVrUxW9O+uRdBpSbx384wRBEBJV0Omj+eVdNL28a6D1qDY7g6TLz8cyd4qooj4HqIpCoKYJ777Dkdbd9Z+eDSabzAMJQnNpObrUdPH8J5w2JRDAuX83INqRJgrDsXm0vobaOEcyOIacPNyVhwYOTQqCIAjCUIiEoRBXkaThPTQ/9XHSMPPbd2MsT9ykoSTLpN1zPaHuPgLVDez//ktM++PNGDIG3+rwTMk6DWO/txxDupXG57az5vdH6K5zc8WPJqLVi5sWwulRVZXKzZ1s+Fs19Tt7ANBoJbIvm0rhrXPQp1hitrezsp0D//kKgR43mhQ7md+6C31BzpDXOZ4sdG/aCbJMznW3YS4eNejHh90uWp59DDUUIqlgPDnTLhzS/n5HFz21e8medD7JtcGhhn9S3d1H6O45iiRp0Bjj+9Td7q+m392AwZgck4RhMOiluWUbtKikjz7zE7zuzmPtSHMLon7zLtAdSahrs8+OlqTHSTptpDXpfz9A18ZKOtcdJnPpuM99XNgbpPov6wCwL1+MLuvsqbwUBOHcE+j10PzKLppf3U3YEwBAl5tJ0hXLREXhOUANhfEdrsaz/QCeXRUoTvfHH5QkjLkFWEaPwzJ6HIacfPH9IESN88AeFL8PbUYqhjEl8Q5H4OOEYaCrg7DHjcYcu+viaDCXlBFyOrAln/kseEEQBOHcIxKGQtzJ+mNJw6cfxVtbRcdvHiXz2ysxlhfHO7STkvU6Mr95B20//yv+tk72/b+XmPq7m9DZYlN5dSKSLFF67yIMGTaq/7KWXa820VXv5pbfz8CaJgZbC4OnhFUOvt/Ghr9V0XrIAYBGJ5N54QQKb5mDMTsppvt3bark0P++jeILosvPIvNbK9GmDn1PVVHoefxV3Bt3gCSRc+2t2MZPHvzjw2FaX3iKUF8vBlsaxYtvGVL7T1UJU7v+adydDWja+kkuWzHkv8OJKEqYyuq3ACgyTcSiTY7KuqdDVVXafZGTtZnpsZnh2t9fD6gY7OnozPYzXs8zML8wuu1IlWCAUH8vALqzqCXpcfqiPOyXL6X/1feo/NNakqYUYEg7dbVn/T+34u90oklPwb5iyfAEKgiCEGXe5l4aX9hJ2+oDqMHILDpdQXYkUThjgkgMncXUUAjfwWrc2/fj3XUQxe0Z+JhsNGIuG4ulfByW8rFDmostCEPRt30zANYls8XPmwShsVrQ5WYSbOnA21CHdWxsroOixTxqNOZRo7HVq/EORRAEQRiBRMJQSAiy3kDerceThpV0/PrvZP7bnRjHlsY7tJPS2CxkfWclbT97EE9dNwd+8AqT//e6mMx1O5W8q6Zhyk+h8uev0bC7lwdv3MTNv5tB/qTkYY1DGHmcXT72vtnC9ufr6W6I3BDRmTRkrZhK/nUzMKTH9kaIEgpT99hmGp/bDoBxfBkZ99+GbB564l1VFHqeeBXXhm0gSWRfewu2SdOGtEbH26/iqTmKpNMz6oK70BqGNi+kdfeaSLJQb6Qgf/6QHnsqTc1b8Hg60csmRllnRm3d0+EK9eAJ9yNLWlJTR8dkj77+SELSlj34ytBTGagwjHLCMNgTqS6ULSZk6+Bn/I0kSZedj3f3IQL1zVT9eS0TfnzFST/X09hD0ws7AEi95TJkg364whQEQThjqqrSt7uB5tf20L2lGpTITVZ9aQFJK5ZgmjZO3Lg/S6nhcCRJuHUP3t0HUTy+gY9pLFas4yZhnTAFc/Eo0X5WiDlfcyP+5kbQarAujO/rfuHTDGVFxxKGNQmfMDzOWSSJpKEgCIIwZCJhKCQMWa8n79a7afnn3/HUHKXjt4+R8fXbMU2MzU3paNCmp5D57ZV0/vJBHBUtVPzkNSb+9Cpk/fD+10qdWcykP97OgR+8Sn9zL3/7whZWfH88s24oFPMzhE/xuYIcfK+NvataqPmoC1WJvN9o15J15UzyrpqOLmloibLT4W3t59DPV+E83AqA7aL5pNx46WndiFHDYboffRH3h7sjycJrbsY+ecaQ1zEVleLY9REli27BlDq0dqiOlkpa97wHwNhRV2I0Jg95/xNxu9upqX0XgHLrHHRyfKuH23zVAKSmlqPVxiaW7u4jANhyy6KyXuZNN+OpqcJYUByV9Y4LdLQDoMvJOGt/zkpaDWn3XEfrD/9A18ZKGv75EXnXTkdj+PTBGFVVqfrzWtSQgnHyGEzTxscpYkEQhKEJOn10vH+Iltf34GnoGXi/afIY7CsWYxhdctb+jD+XqapKoLYJ95bduD/ah+JwDXxMY7VhHT8Z24QpmIpKRaJYGFa9WzYAYJk1CY39zOZ4C9FlGF2M64PteOtHxhxDNRwm0NmO3qHDYD/7uqEIgiAIsSMShkJCkfV6cm9dSeuzj+OuPETH7x8n4yu3YJ6RuCe49AXZpH9zJR2/foTenfUc/Pkqxv/wMmTt8J5ANRekMv2BWzn8f+/QvbmK1396gPrdvVz5o4nozeK/+rksFFSo3NjB3lUtHF7fTsivDHzMNi6H7IsnkrVsLBrT8FQEdaw7zNHfrSHsCaC1Gki583rMMyee1lpqKEzXQ8/i2b4fZJnsa2/FPsTKwuPsk6aRqS0dchvMoNdJ7fqnAZWc7JlkZU05rf0/S1FCVBx6HkUJka4vJN/0+TPkYklVVdp8VQBkZk6KyR5ebw9uTwdIMvb8sVFZ05hbgDE3utWFAP72SLJbl58d9bUTib4gB/OMCXh2VlD79020vLGHoi/MI/uiCUiayE3Urg+O0ruzHkmnIfW2K8TNdUEQEpqqqvQfaKZt1X46PziKEggBoDHpMM+biXXpXPR5WXGOUoiFYEc37s27cG/dS6i9a+D9stmCbeJUbBOnYSosFklCIS6C/b04K/YAYLt4YXyDEf6F8dg8SV9LA4rfj2xI7DEwnatfp2/rRjInLKJg7pXxDkcQBEEYQUQWQUg4sk5P7s130frS07gq9tL5wNOk3XM91nmnlwQYDoayItK/fgedv3uM7s1VHPm/1Yz93nIkeXhvmmqtBib85AqaXthB3aMb2ftmM62H+7n+f6eSMza2c+iExBIKKtRs7WL/6lYOrW3D5wgNfMxUkELWsnFkLh2HKTd52GIKe4NU/WUtbW8fACLD49O/dBPa9JTTWk8Nhuh84Gm8ew6BRkPuDV/AOm5oiSxvfQ3alFR09uRIu5YhJgtVRaF23VOEvE4s5kxGl182pMefSijkQ6sxoNWamJh0ftyTMK5QN+5wH7KkJT0tOsm8z+rqPgSANbsErSGx23yeKwlDgPSv3op78y76XlmDv7Ofo795l6YXdlBy9wKSpxVR9eB6AOyXLkGXmRbfYAVBEE4i0Oehfc1B2t7e/6lqQl1+NtYls7HOn45sGr555MLwUANBPDsrcH6wDf+hmoH3S3od1jETsU2egaVsjGg3KsRd39ZNEFYwjC3FUJwX73CEz9BmpKJJSybc3Ye3sQ5L2Zh4h3RKhpx8ADzdTXGORBAEQRhpRMJQSEiSVkvOdbfRrtPj2LOd7r89jxoIYFsyJ96hnZRpfBnpX72drj89Qcf7h9AYtJR/88JhTxpKkkTBDbOwjcnm4M/epKPKxV9v2szSr45mwV2laLTixOzZKhxUqP6oiwPvtHLwM0lCfZqFzPPHkrlsHNayzGFPPjkOtnD4/97B29gLEiRdtpSkq5ad9s0Zxe2l449P4D9Si6TTknvTXVjKh1aB52ttpvmpvyEbTYy9+D6wDT3R4e1pwdVRj6zVM3HCLWg00avS1OutTJt6D8GKCowaS9TWPV0qkJ4+HlnSoNXG5oZqKORD1upJLoxOVXnzzrehNxPruInIhujGfDxhqD8HEoaSLGNdOBPLnCk439+C8621eBp6qPjx6+hSzAR7PWgzUrGvWBLvUAVBED5FCYbp2V5L+3uH6P6wCjUU6bIgG3WYZ0/Bung2+tKCuB/KEaIv0NyOa/023B/uRnFHZnUjSZhLR2OfMiMmrw0E4XQpfh99u7YAYL94QZyjEU7GOLYU9+ZdeOuqEz5haMw9njBsRlUVJEncBxIEQRAGRyQMhYQlaTRkXXUjkl5P/7bN9PzjFVR/AHsCt+cwTx1L2pduouuvz9D61n5URWX0v1040LZtOCVPKWDmw3dw9Pdr6N5cxZo/HOHw+nau/cVU0ovin3wQouN4JeGBd1s59H47Xkdw4GO6FDMZC8vJWDyGpIl5cfk+DPuD1P3jQ5pe2gmKiibZTvqXbsQ4btRprxnq7qPjt48RbG5HMhrIu2kl5tLyIa0R7Ouh+am/ofj9mFPz0ZlPrwLXnJ7PuCu+gaayHYsl87TWOBXDkRYM2tOrwIw2uy6dyWNvQ1XVmO2RuuxSkkMXoqrK53/y5wj5XLTteQ/2QOm//1dUbwqGfT5CfZHqlHOhwvA4Sa/DvnwR1sWz6X9rA641Gwn2Rm7Cptx6BbJe9zkrCIIgxJ6qqjiPtNG+5iAd6w4TcvgGPqYvyce6eBaWOVORTYndTk4YOjUYwr1tL651H+Gvahh4vzYpGfu02SRNn4MuOTFeVwnCJ/Xv2obq9aHNTsc0JTadPIQzZxhdHEkY1td8/ifHmT49E0mrRQn68Tu6MSZlxDskQRAEYYQQCUMhoUmyTOaKa5D1eno3raP3mVUovgBJVyxN2JPAltmTIazQ9bfnaHvnAEoozNjvXhKXZI0+xcyEn1xB+5qD1P3lPRr39vHAdRu55NvjmH1jYcJ+DYVTCwUVqj/s5MCatn9pNzqQJFw0hqRJ8UkSHvepqkLAMm8aKbdcjsZ6+q0mA41tdPz274R7HWhsdvJvvxdD9tBa9oQ9bpqfeJiw04ExJZtRy+5C1pz+02F2byqkp5724z+rpnYNoZCfscHxIA/PXMnBCIyNnFKN9c8NWRudpJOzLXIhr8/MRmu1RWXN4wIdkepCTYr9jL6fRyrZbCTluouxXXAeznc3o7FbMU8VN7cEQYgvb0sfHWsP0/7eQbxNvQPv1yTZsJw3Fcu8aegLc+MYoRAroT4HrnUf4Vz3EYrDFXmnLGMdMwH7jDlYysaKuYRCwlIVhd4tHwBgv2iB+F5NYANzDJsbUEIhZG3i3lKVNBoM2bn4mhrwdDWJhKEgCIIwaIn77CYIx0iSRPqFlyHrjXSvfZv+V9agBoKkXH9JvEM7Kct5U0Ej0/3Qs3S8dwg1pDD2+8uRtcM/G0OSJLIvmkDylAKO/Ho1fbsbeONnBzi8rp2r/3sy9izRimckOJ4k3L+6lcPr2vE5EzNJCCeoKkyykXrn1ZinjT+jdb0Hq+j805OoXj/6jCzybv/ikE+JK34/zU8/SqCrA505ifKL7kFrMA1tjXCI2vVPkzVxMXmunCE99vO4XG3UN2xAVRUyk5PINJZEdf3T1RNoRvaYMJtjN5/O73cC0av2cLZWA2AqPv1q1pM5l+YXnoo22U7KDcvjHYYgCOcwb0sfnRuO0LnhKK6qjoH3y0YtpmkTscybjnH8KDGf7izlr2nEuWYz7m37IRwGQGtPImnWfJKmz0ZrG9psakGIB9eh/YT6epCtZizzp8c7HOEUtFnpyHYrisOFv7kBU1FpvEM6JUNOfiRh2N1E6qhp8Q5HEARBGCFEwlAYESRJIm3Jhch6PZ3vvIZj1Xo0dmtC9/e3zJ6MpNHQ9eDTdK4/ghpSGPefK5B18blhYcyyM/mX19H82m7qH9lA5eZO/nDFBpbeV87cW4rR6MRJxkQTDinUbutm/zutHHyv7VPtRvVpFtIXHGs3OiE37knC4/ormjny69VRrSoEcG/ZQ9cjL0A4jKmolNxbVqIxDW1NJRCg+elH8DXWIRuNlF98L3rr0NtSNW17g766fbjaasie9Z2ozS1UVYUjR1+NJAsNJQmTLFRVlQP96/Fse43Jk75Aelr0K8nC4SBbP/oNukMpjF7+ZXTmM7/B5zqWMDSXlJ3xWp91Ls0vFARBSDQnSxIiSxjHlWE5byrmGRNFy9GzlKooeHZW4HhnI4Hqj9uOGgtLSJm7EOu4SSJBLIwovR9uAMB2/lxkQ+J0FxH+lSRJGEeX4NmxH09dTcInDI25+fQDnq6meIciCIIgjCAiYSiMKCnzFqOGw3SteZPeZ1ehSbFHWoAmKPOMCaTf/wW6HniSrk2VVPzX60z40eXI+vj815Nkifyrp5M6o4jDv1qN83Arb//fIXa+3Mil359A2XnpcYlL+FgoEKZ2ew+H3m+j4r023D2BgY/pUy2kLywnY8kYkibkIcmJ01I20Oum9pGNtK2uAIhaVaGqqjje/oC+598GwDpxKtlX34ysG3rbSjUYIOz1IBsMjL7oS5hSh14d2FOzh86DmwAYX3ZN1JKFAC2t2+l3NKDR6BlnT5zDEM5QF55wP7KsJTkpNknM3t4qwkoAOehDazrz9qEhnwtvbySpF4sKw8DxCsOC6FaYCoIgCP9KCYZxVLTQs6OOnq01uOu6Pv7gsSShedYkzDMmoLGJOd1nK8UfwL15F47VGwm1d0feqdVgnziN5LkLMeYWxDdAQTgN3oY6fI11oNVgW3ZevMMRBsEwphjPjv0jYo6hqXgUacuWk6ovincogiAIwggiEobCiJOy4HyC/b30b9tM11+fhbASaQGaoMxTx5LxjTvo+uMT9GytYf9/vsKE/7oSrTl+pwfNhWlM++PNtK0+QO0jG+modvGPez9izOJMLvn2ODJKrXGL7VyjqirtR51UbemieksXdTu7CfqUgY9r7UYyFo0mY8kYkiflJ0wl4XFKMEzzq7upf3ILYU8kuWlZOIOUG1eccVWhGgjS/eRruDfuACD5vMVkXHz5ac/10FisFNx1H7qDXVgyCof8eF9fB/WbngegqHAx6enRq7Tz+fqpqn4HgHLzbEya6M7cOxNN3sMApKWOQauNTbVGe8d+AFKKJkdlRqKjpRI4Nr/QEt2fZ6qi4G9riaxfICoMBUEQYsHb0kfvjjp6dtTRt7uBsPfjLguRJOEozLMmiyThOSDc58T5/hac67aiuDwAyCYzyXMWkDx7ftTnFAvCcOrZvBaIjDTRJIvv5ZHAODpygNLbUIsaDid0RbM+LYO0xRdG/lCvxjcYQRAEYcQQCUNhxJEkicxLr0YNBHDs2U7Xw8+hBALYFs+Od2gnZZo4moxvraTrD4/Rt7uBfd95nok/vxp9SvxucEiyRM7ySaQvKKf+yS20vr6bIxs6qNzUyewbCzn/y+VYUkUrp1job/NSvbVrIEn4ySpCiLQbTZs7ivQF5SRPK4jL7MvB6N5WS/WD6wbaj+qL80i97QoMZWd+gjHU20/nn54iUNMIkkTGxVeQMm/xkNdRFQVvXTXm0nIAkjvNcBrJwnDQT/Xax1GCfpKTSygpvmDIa5w0RlXlyNFXCYf9JOmyKDJPjNraZyqkBGj2HwEgL3dObPYI+enojlSmppZFZ26Lt6cNAEv5uKis90mBznYUvw/JoEeXmxn19QVBEM5FvrZ++vY20re3ib69jfjbHZ/6uGy3YppQjnHSaEyTx5zxoSQh8QVbOuh/ewPuLXsgFJlPqEtJJfm8RSRNn4OsF9cpwsjm72zHfegAAEnLh36dI8SHriAb2WJCcXvxtTRhKhDVe4IgCMLZRSQMhRFJkmWyrroRSaejf/uH9Dz2Mqo/gP2ixGnj91nGsaVkfPeLdP3+UZxH29n99WeY9D/XYM5PjWtcOpuRsvvOJ/fyKdQ8vIHuLTVs/Wc9O19uZPpVBcz7QglpheLk9pnwOYPU7uiheksn1Vu66Kx1f+rjslFL8uQCUqYXkTKjCHNxWlSqrGLF09RD9V830LM10oZFtltJue5iLAtmnHb13yf5Kuvp+vNThPudyBYTOdd+AUvZmCGvoyoK7a8/j2PXNjIvu5aCrHmnFY+qhKlZ+yS+3jb0ehsTxt2ELEcvievz9dLvqEeSNExKOh9JSpwq0ibvYcLhAGZzBikp0W/tCdDReQA1HMSQlIE5PTrtxPJmLsd80QJQo3+S1ttYB4C+ND+hTxQLgiAkKlVR8TT24DjYQv/+5hMmCCWNjL6sCNOk0RgnjkZfmBOV1xhC4vPXNNK/aj3eXQcHnseN+UWkzF8SmU8ovg+Es0Tvpkh1oWn6eHEIbQSRZBnDmBK8uw7ira1K+IRhyOXE21CL0qsjKT/6s+gFQRCEs49IGAojliTLZF52LbJeT+/m9fT+801Uf5Cky8+Pd2gnZSgtIPM/vkrHbx7D19oTSRr+7Grs43PjHRrmglQm/vRqenfVU/PIRlxH2/no2Xq2PV/PhAtzWHhXKXkTk+Md5oighFWa9vdRuamTqi2dNB/oRwl/nLiQZLCOzh5IENrH5yLrEj/x4O9yRapR394PioqkkbFdOJ+kK5Yhm41R2cO5fhs9T74G4TD6rBxyb16JPjVtyOuoqkrnO6/h2LUNJAmr5/TbUqqKgkanR9LomDzxNgyG6LYLMplSmTPrm7gP7caqje8Bgk9SVIV6z14A8vPOi1kSu619FwBp5bOitoezSEKLPSprfZbvWMIwGpW0giAI54Kg04fzUCuOY2/Ow62EXP5PfY6kkdGXFGAYW4pxbCmG8iJkQ/za9wvDS1VVfIeqcby5Ht/BqoH3W8ZNJHX+UkyFxfELThBiINjbg2PfTgCSLkvc+xfCiRnHjcK76yCe2ipSFy2Ldzin5D5SQftrz2PLKRMJQ0EQBGFQRMJQGNEkSSL9osuR9Qa6162m76XVqMEgyddcFO/QTkqXnUH2D75Cx+8fJ1DbxN7vvsC4/1xB+ryyeIcGQMr0IqY/UEjfnkYan99O7/Y6Dqxu5cDqVkpmp7HwrlLK5mcgy4lbARcPzi4flZu7qNzYQdWHXXgdwU993JSXQsr0QlJmFJE0pQCdLToJtuEQcvloeG47zS/vQvGHADBNGUvKjZdG7TSsGgrR8/QbuNZ9BIB1whSyr7oJ2TD0dlOqqtK15k36tm4EoHjhTaSUTD7t2GStjpLzb0O7rxGrNTYz62y1DmzG2FTwnS53qI+QHEYnm8nJjk6r0M/y+nrp66sFJNJGRWcPVVWA2CXgvY31ABhGiYShIAjCZwV63LiqOiJv1R24qjrxNvf+y+dJeh36knwMZUUYx5ViKC8WCcJzkKooeHcfon/V+kgbegBZxj55OikLlmLIFLOChbNTzwfvQVjBOKEMQ2l0OmwIw8c4NnLd5m2oRQ2FkLSJe2vVkBv5/vJ0N6GqSkJ1sxEEQRASU+I+qwnCIEmSRNr5FyPp9HS9+wb9r69FMhpIujRx5wBokmxkfe9euv7yT7z7jlDxk9cp/9oyci+fEu/QgMjXNGVaISnTCnHVdNL0/A461x+idls3tdu6Sc4zMfWyPKZenkd68elXbo1k4ZBC074+jm7s4OimTloPfbqVltZqIGVGESkzi0mZXoQxKzbVTrGkBEI0v7aHhn9+RMjpAyJVVck3LMc4ujhq+4R6+ul68J/4K+tBkkhftpyUhctOq9pMVRQ6Vr1M//YPASg47xrSymeeVlye7mZMqTlIkkxyTRCinCzs7j6KqiqkpyfmSU+bLpV5c/8dt7sDjSY2N3ENejtlF92Dp6sJvTUlKmsefv2PYDeRueJq9BlZUVnzuLDHTbCrAwBDmbi5IwjCuSvk8uFu6MFT342noQd3XRfu6k4CPe4Tfr42Kx3DqAIMowoxlBWiy8tGStAZzULsqYqCZ2cF/a+/T7AxMndY0mlJmj6XlPlL0CUnTscFQYi2YF8P/Xu2AZB0ZfTmogvDR5eXiWyzoDjd+JobMRWVxDukkzJkZiNptYQDPvyOboxJGfEOSRAEQUhwImEonDVSF5wPqkLXmlX0Pf82stmEbcnseId1UrLRQMY3vkDP46/g+mAHlX94D3+nk+K75ifU/DpraQZjv7+c4pXzaX55F61v7aev2cv6h6pY/1AV+ZOTmXZFHpMuycWcfHafDHf3+Knc3MnRjZ1Ubur8lypC6+gsUmeVkDq7GPvYHCTNyDy9pwTDtL9bQf1TW/F3OgHQ5WaSfN3FmKaNj+r3p2dnBd1/fwnF7UEyGcm59jaso8ef1lqqotD2yrM49+4ASaJw3rVkjD3vtNZytlZT+c5DJBdPYkr+NSBH9+kyEHBy8PALBINupiRdSI6pPKrrR0NgbD4awG7Pj9kesqwhqWAcSQXjorJewNWLp6sRuiU05ujPXj1eXajNTkdjFbNdBUE4u4U8AXxt/fhaI2/ell48DT14GnpOmhhEAm12BvqiXPSFx96KctHYxM9M4ViicPt++l9fS7C5HQDJZCBl5gKSz1uE1hrdtu+CkIh6Png/Ul04viyqhzCF4SPJMsYxpXh27MdTW5XQCUNJo8GQnYuvqQFPV5NIGAqCIAifSyQMhbNK6sJlhH1eejeupefxV5BNBixzEqNq70QkjYbUu65Fk5pM/6vv0fDPj/C19jP6OxehMejiHd6nGDPtjPryEorvnE/3lmra1xykb2cdTfv6aNrXx1v/e5DRizIZf0E2YxZnYk4a+cnDUDBSRVi9tYvKzZ007+9D/XgUIVqbkZSZRZEk4axi9Ckj+2aYEgzTtrqChn9uxd8RSRRqUpNIvvpCLPOnI8nRS4AqgSC9z67CtXYrEGmVknP9bejTTv8CRpLlyLxDWaZk0c2knmaLS29fO9XvPYaqhNE6glFv26KqKoeOvEIw6MaqTSXTmHgXmL2BVsxqbsxb1vSPGnrL2VOu13QYAGN+ERpL9KuffU3H25EWRn1tQRCE4RT2BQl0u/B3uwl0OSO/drvwd7kGkoTBfu8p19Ak29HlZqLLyUCXl4W+MAddQY5oLSr8C1VR8Hy0j/431hJsiVTqSyYjKXMWkXLeIjQmc5wjFIThEezrpX/38erCxJ59J5yacdzHCcO0JRfGO5xTMuQWHEsYNpI6alq8wxEEQRASnEgYCmed9AtWoPh89G//kK6Hn0MyGDBPTcyWfxBp/5l81QVoU5PoefwVOtYdxtvSx4T/uhJDeuK1+9QYdWSeP5bM88cS6HXTsfYw7WsO4qrq4NDadg6tbUfWSBRNT2Hc0mzGLskitWBk3AQIBRVaD/VTt6OH6q1d1O/uJegNf+pzrKMySJ1TSursEuzjRm4V4SedMFGYZMO+YjHWJXOQ9dFNXgea2+l68BmCTZEWVCnzl5C+7NKozH5IXXIRWcmTMKXmnNbjg14nVasfIRzwYrcXMH7cDVFPmrW0bqe7+zCSpGFK0gVopMR6Ku4PdvBRzytYd2xh5oz7kKNcXXlcTe17eLtVMsbNw2CLTuux/saDAFhOs0r18/iaGgCRMBQEYfipqooSCqOGFNRQGCV47NdAiLA3SNgbIOwLRX71Bgh7AgRdfkIOL0GHj6DDS6j/49+HPYFB7StbzGgzU9Gmp6DNSI0kB3Mz0eVkIptHzjxmIT5URcGzbT99r75HqK0TANliImXOYpLnLERjMsU5QkEYXj0b34dwGOO4URjHJN6hQWHwjOMicwx9jbUooRByAs8xNOYV0A+4u5riHYogCIIwAiTuM5ognCZJkshccQ2K34dz3y66HniKjH+7E9P4sniHdkrWRbPQZqTS/ZcncR5pY9dXn2L8j68gaXxuvEM7KX2KhfxrZ5B/7QzcdV10rD9C94fVuGs6qd3eQ+32Ht765UEySq2UL8ggb0ISOWPtpBdbkTXxa7saDir0NHnorHFF3mojv3ZUOQn6lE99ri7ZTPK0AlKmFZI6uwRD+tnTKkkJhml/72Ck9Wh7ZAajJtmGfcUSrItnRz1RCODavIuex19BDQTRWKxkX3MzlvLTb0ep+H10r1tN2tJLkPUG7A3AaSYLlXCI6vceI+DqwWRMZfLE29Foovs18PsdVFW9BcBo6xxsuvSorh8N1a6dAFgs2TFLFobDQZqatxCq92LPGx2VhGE46MfRWgmAdUz0E4aqouBrjiQM9aWxa9MqCIJwIh9e9UDU15T0OjQpSWiSbWhS7GiT7WiS7WgzUtCmp6LNSBVJQeG0qOEw7mMVhaHWY4lCk5mUeccShUbxfSWce4L9vfTv+giApKtEdeFIp83JQJNkI9zvxNdYh7kkce83GXMjs9c93U2oqhLzLjKCIAjCyCYShsJZSZJlsq++GSXgx324gs7fP07md+/GWF4c79BOyThuFJk//Bqdv3+cQEsHe7/1HGX3LyP3ssnxDu1zWYrTKbkznZI75+Nt7ad7SzXdH1bhONA0kJg7TmeUySq3kzM28pZRasWabsCWbsBg1UZlRl7QF6a32UNvk4eeJg+9TV56Gt10N3joaXATDqknfJzWZiRpYh7J0wpJmVaIuTgtoWZKRkPYG6T17f00vbBjYEahJsmG/bLYJQoVn5/ef76J64PtAJhLy8m+9la0Nvtprxn2+Wh+8mF8jXUEe3sYM+/O015LVVXqN72Au6Mejd7ElMl3otdHv8K3uuZdwkqAZF0WxebEa5fc7W+iw1+LhExx0ZKY7dPRsY9QyIvemootJzoX1/2NB1GDQXQpaeizTi9pfCr+9hYUnxfJaEBfEP31BUEQhkyjQdJpkI0GJIMB2ahHMuiRjAZkgx7ZbEK2mtFYzcgDbxY0VjOaJBuSyXDWvcYR4ksNh3Fv2UP/G+sItXcBxysKl5By3kJkg0gUCueuyOzCMIZxpRjHlMY7HOEMSZKEYVwpnq178dRUJnTCUJ+RRfb1t2PMKwCHeN4XBEEQTk0kDIWzlqTRkHPDHbT881E8VUfo+M1jZP37PRhKC+Id2inpMtPI/uFX6X7keTw7K6j8/RpcVe2UfXUpsk4T7/AGxZSTRP4108m/Zjohl4+e7XX072/CVd2Jq7qToC9I0/4+mvb3/ctjtXoZa7oBa5oBa7oBo1WLRi+jM8ho9Ro0ehmtQUarkwl4w/gcQbzOYORXRxCfM4SnL4Cz03/KGGWjFnNBKubCtGO/pmIpSceUl4Ikn50vooP9Xppf203zK7sJOX3AsUTh8kVYl86NSaIQwFdZT/ffnifU0Q2SRNqSi0hdfOEZzUQMOvpoeeoR/G0tyEYT+eVndkrX19tGb81ukGQmjb0Jszn6lX9uTydt7bsAGGtbkHA3aVVV4bBzMwB5ebOxWDJjtldTS+R0dcbY86I2G7O3Zg8AtknTYvK19dRUAWAcU4KkGRk/iwVBOHvk/vI7yFYzklYb+RmkkRPueUQ4d6mhMO4Pd0UShZ09AMhmC6nzFpM0e4GoKBTOeZ+sLky+8oI4RyNEi2l82UDCkGXL4x3OSUmyjH1SZHah5DzxwWlhcJRQkK4jW3G11xIOBlBCfpRggHDQh6zVMf7q7wx8rrenFa3Rgs58+oekBUEQ4kEkDIWzmqzVknvTXTQ/9Te8ddW0/+oRMr99V8JXGsomA+n334bjzfX0vbya1jf34a7tYvwPLsOQMbJaYmqtxoGZhwBqWMHb0oerqmPgzdfmINDrJuwJEAoo9LV46WvxnvHeGrMeU04SxpxkjDlJA783F6ZiyLCdtYnBz/J3Oml8cSetq/ah+IIAaDPTsF+6COu86UgxShSqoRB9r76HY9UGUFW0SclkX30z5tLyM1rX39FG85MPE+rvQ2OxMvqCezGnn1mLSFNqDuXLv4xc1Upq6pnFdzJmUzqTJ30BV00FyfqsmOxxJpq8h3GGutFqjZQUx+5GhsPRhNPZhCRrSBs9O2rrGqZPwiT7sU2cGrU1P8lbE2l3enxeiSAIwnDS2K3IJpF0ERLLiRKFGouVlHlLSJ49H9lgiHOEgpAYPlVdOFZUF54tjBMi142+5gbCPi8ao5jLejZTVZUjqx7A09V4wo/LWv2n/lz/4Yu42+swJmViyynDlluGPW80Gr34PhEEIbGJhKFw1pP1evJuvYfmpx/BW1dNx6//TuY370j4m76SJJF0+fnoC3PofvgZHBUt7PjiE4z59kWkL4hNQmM4SBo5UtFXkDqQRDwu7A8S7PUQ6PUQ6HET6PUQ9gZQAiGUQBglEEINhgf+LBt1aG0GtFYDOqsRrdWA1mpEazNizLKhtZvO6dP3ruoOml7YSce6w6jhyGxGfVEu9hVLMM+cGLXKrhMJNLXR9fBzBBtaAbBPnUnGpVef8UWUp7aKlmf+juLzYUjKoPziezHY0qIRMvnuPMjJi8paJyJJEulpY8ntjH6r0zMVVPxUuiKnnkuKlqHTmWO2V1PLVgBSSqaiM0Xva5E0bRZJ02ZFbb1PUsNhPPU1gEgYCoIgCMJJE4ULlpI86zxkvUgUCsJxorrw7KVNS0ablU6ovQtvXTXWsRPjHdJJhVxOHHu209/mJn/WZfEOZ0SSJIm0shmEHf3k5Z2HXm9Fq9GjGXgzYKuOdLpSVQWNNwxI+Po78PV30Hn4Q2SdgfTRc8icsBCDLTW+fyFBEISTEAlD4ZwgGwzk3XYvLc88hqf6CB2/fYyMr38B06TR8Q7tc5mmjCXrR1+j68FnCNQ1U/GT18lZMZlRX16CxhSbyrB40Rh0aLKTMGYnxTuUEUtVVXp31NP4wnb6djUMvN8wpoSky87HOLE8pklUVVFwrt5E70vvQiiEbDWTteJ6bBPOfF6fGgrR9sozKD4flqxiyi5YidZoOe31gl4XteuepGDuVWT3xu7FuqKECIX86PUW9IebYrbPmQgqPoyWNLQhH3l5c2K3T9BDe+c+ADLGzYvZPtHma25EDfiRLWZ0BdnxDkcQBEEQ4uJkicLUBUtJmjUPWa//nBUE4dwjqgvPbsYJZbjau/BUH03ohKESCND17ptIsobc6Zcga8Tt4M/j7WunefubpJXPIqV4MgCj9DMonTMVjebUz3eSJDNz+lcIBr309dfS21tNT08lHm8XHRUf4O1tZfTyLw/HX0MQBGHIxDOEcM6Q9Xpyb1lJ6/NP4D5SQccfHifjq7dinjY+3qF9Ll1WOtk/+Ap9L6/B8fYGWlfto39/E+P+YwXWstjNGRNGDiUQomPdYZpe2Im7rivyTlnCPGsy9ksWYig5s5adgxFs6aD7Hy/jP1oHgGX0eLKuvAGtLTo9+6VjLYbd739A4bzrkLWnnzBXwiFq3v8HrvZaGtY8TdaM+2OWSG1s+pD6hvWMNZ9HvnlcTPY4U9qJE5ihjiMQcCLLsXtpoKoKGWPPw9PdjCWzKCprhnxuWnp3Y0udErXvtc/y1B5vR1oa08pcQRAEQUhEajiM+8Pd9L++ViQKBWEIRHXh2c80vgzX2q2ROYYJTJeSimy2oHjceHtasGQUxjukhNa2by3NO94GVcHv6KYoNDpyv0DWAIOfZ6/TmchIH09G+nhUVaWnp5KGpk2kTVw88DlBrxN3Rz1JheORJHGtKQhC/ImEoXBOkXU6cm+8g9YXn8J1cB+df36K9C/dhGX25HiH9rkkrZaUG5ZjnFhO98PP42noYdfX/knp3QvJu2b6OTOPT/i0QK+H1lV7aXljL4FuNwCyUYdl0WzsF85HmxH7NhdqMET/qvX0v7kOQmEkg57MS67CPn3OGSfhVEXB396K8Vir0IxgHhmLbj6zNVWVhs0v4mqvRdYZmTDuxpglCwMBF3X16wiH/UBi/x+VJBmDIbbVvXq9lYK5V6GqatS+5r11++jc/AqO3dsp+sq3orLmZ3lqqgDRjlQQBEE4t6jhMO4teyKJwo5uQCQKBWEoBqoLx4rqwrOVYVwpSBKBznZCjn609sTsliRJEsa8AjyVh3F3NoiE4Sn01u2jefsqANLTxjGq9OKoXLtKkkRa2mjS0kZDAKj20z/KQOehzbTuXoMlo5DC+ddhTovdmBRBEITBEAlD4ZwjabXkXH87ba88g3PfLroefAY1FMY6b1q8QxsU0/gycn76Dbr//hLe3Qep/ut6erbXMvrbF2HMjE11jZB4XNUdNL+8i/a1h1GDYQA0yTZsF87HumQ2GkvsZtB9ku9oHT3/eJlgSwcQqSrMvOxadMkpZ7x22Ouh9fkn8dZXk3/XfWQq0alIa9+/nu7K7SBJTBp7ExZL7Kp0q2tWEw77sWszyDONidk+p6sn0Ey7tZ+iUAZabeznDfWPiuwRzQRtb80egKi0vT0RJRjE11QLiIShIAiCcG5Qw2HcW/dGEoXtkc4VH88oFIlCQRiMYG/3J6oLl8U5GiFWNBYz+uI8ArVNeGoqsU+dGe+QTsqYVziQMBROzNvbRt0HzwJQkD+f8rIVMd0vqdpPX7+MrDPg7mzg0Gu/I3P8QnKnX4xGb4zp3oIgCCcjEobCOUnSaMi+5hYkrRbHrm10/+15VJ8f29K58Q5tUDQ2Cxlfvx3Xuo/oe+5NenfWs+Oexym5eyG5l08R1YZnKVVV6d1eR+MLO+jb/fGLfH1JPvaLFmCeNRFJOzw/1pVAkL4X3sa55kMANFYbmZdejXXClKgkg4K9PTQ98RDB7k4knR59jQOKz3hZuiu307z9TQDKR10aOd0XIz29VbS27QQkxtkXxHR25OlQ1DAHHRtx9fSgqgploy6J2V6qqlJd8w4my2QsWSVR+1oE3P0426oBsE2KzaEPX2MdajCEJsmGNicjJnsIgiAIQiIYqCh8cx2htmOJQrOFlPnnkzxnPrI+9oeLBOFs0b3uXQiHMU4oE4fOznLG8WUEaptwVx9N6IShKT9yAFckDE8sMrbkcZSgn+TkEkaVxu76+JOKCheTnTWNyqpVdHTup6PiA3pr95I/53JSSqYm3H0EQRDOfiJhKJyzJFkm64obkLQ6+rdtpueJVwn19JN87UUj4glZkiRsS+diHFtK999fxF/VQNWf3qdj7SFGf+siLEVp8Q5RiJKwN0j7ewdpfnU3nvpIOyhkCfPMSdgvmo9+VOGwfs/665rpfvi5gapC+/Q5ZFx8ORpTdKoa/e2tND3xEGGnA50lmbILV0alLYejpZK6jc8DUJC/gPy8eWe85skoSogjR18DoNA8gRR9Tsz2Ol2Vrm24Qj3otGYKCxbGdK/e3ioaGjcitWxl8s0/QmuIzvdKT9VOUFWMhSXoUmLTftddeRiI3AgYCc8NgiAIgjBUaiiEa9MuHKvWD8wolE1mUuefT/KcBcgGkSgUhKEIdHXg2LsDgORrLopzNEKsGSeU4Vi1Hk/N0aiOXog2Y36kDam/v5OQ3xO1a7KzRU/1Lnz9Heh1ViaOvxlZHvyswjNlMNiZOOFmuntmcPTo63g9PdSuewp/fxc50y4ctjgEQRBAJAyFc5wky2SuuAatxUr3utU43lxHuM9B2p3XIGmH78XBmdDlZpL1H1/GuXYrjpfexlHRws4vP0nhLXMovGk2sm5k/D2Ef+Vt6aPl9T20vn2AsNsPgMakw7xoDvaLFqBNSx7WeJRAkP5X38PxzkZQFDRWG9lX3YRl9Lio7eFtqKP56b+heL0Yk7Mpv+SL6C3RmQNhSS/All2KRbFTNmp5TC/k6hs+wOvtRi+bKLfOidk+p6vb30ytew8AY8dcg15viel+dfXrAcgYe17ULkxVVaWrchsASdNnR2XNE3EfqQDANHVszPYQBEEQhHhQA0FcG3fQv2o94Z5+4Fjr0XmLSZ49H9kg2qEJwuno3rAGVBXTlLEYRolZcWc7Y3kxkl5H2Okg0NGKISs33iGdkMZsQZeaTqi/F19fO9askniHlFBSS6ehhkNYeiT0emtcYkhLHc3sWd+gofEDGtu2kjZ6VlziEATh3CYShsI5T5Ik0s6/GI3NTscbL+LetJOww0XGfbcgG0fGaVpJlrFfMA/ztPH0PP4K3n1HqH/8QzrXH2H0ty4kaYIYmjxSqKpK364Gml/dRffWGlAj79dmpWFbdh7WBTORzcN/88Z3qJruf7xMqD1S4WibOJWMY8n2aPG3tdD0+F9RgwEsGUWUXXxPVE89avRGZpR/AZBifupTUYKAxFjbfHRyYv0cCSo+9ve/B6jk5MwkI2N8TPfr66+nr78WSdaQNWlx1NZ1t9fi7+9E0uuxTZgatXU/KdDdSaCrAzQypkmJN4NSEARBEE6H4g/gWr8Nx9sbCPc5AdDY7KTOP5+kmeeJGYWCcAYCXR049+0CIOmqC+IcjTAcJJ0Ww+gSfAeO4qmuTNiEIUDeF76E1p6EtVkcLP8sWaujTD8DsuMbh0ajo6R4GYUFC9G06ek/1tG48/AWkgsnoDPb4xugIJwFWltbeeihh3jjjTeoq6vD6/WSk5PDwoULWblyJYsWLUroPSsqKnj00UfZuHEj1dXVOJ1OTCYTOTk5zJgxgxtuuIErr7zytO99ioShIByTPPM8tDY7rS88gW/fEdp/+Tcy/+1ONPb4nCw6Hdq0ZDL+7U48H+2j5+nX8dR3s+cbz5KxZAwlKxdgyk2Od4jCSYRcPtrePUjrm3vxNPQMvN84cTT2C+dhnDQaSZaHPS7F7aX3+bdxbYhUcmntSWRedi3WsROjvpc+IwtL+RhkR5DSpV9AozvzRFvA1UtfQwUZ4+aTXBMAeXie9kaVXkyBJxeLJnlY9hssVVWpcGzAp7gxmdIoHxXbIe4A9ceqC9PKZqK3JEdtXW9vG5JGg23i1Ji1SnMfOQiAcXRJXBL1giAIghBNiseHc+0WHKs3oTjdAGiTkkldsBT79DnIOl2cIxSEka97/buR6sKp4zCU5Mc7HGGYGMePiiQMaypJmRe9Q5LRpk89PrpGjWsciURVFEBFGsYWpIOh0UQO7yRV+6nXHKVh84u07HyHksW3YM8Xh1kF4XS99tpr3HXXXfT29n7q/TU1NdTU1PD444/zpS99iQceeACNJjo/F6K1p6IofO973+O3v/0tiqJ86mNOpxOn08nRo0d55plnmD17Ni+99BL5+UN/LSIShoLwCdYxE8i/4z6an/kbgdom2n72IJnfvgtdVnq8Qxs0SZKwzJ2CcWIZvc+9jXvTDjrXH6FrUyW5V06j6NY56OymeIcpHOOsbKfl9b10rD2E4g8Bx9qOzpuJ7YJ56HIy4habZ2cFPU++OnDyPGnWPNIvXIHGGL3vH1VVIRxG0mqRNBrKZ98GgKw586enkN9D5eq/4etrx9DuI7kwtnP6PsuqTRnW/QbDp7joCrUgSTITxt2IVhvb6kens4XuniMgSWRNWRrVtY2XzKd00VSUYDCq636S61jC0DQ1em13BUEQBGG4hZ1unO9uxvHeh6heHwC6lFRSFi4jaeosJK24LSAI0eDvbMe5fzcgqgvPNaYJZfQBnrpq1HAYKUo3mYXY66neSeue9yjPvxAyJ8U7nBNKdyTTZsnG7W6jcvXDZE9eSu6MSxIuySkIiW7dunXccMMNBAIBAFasWMEVV1yBxWJh165dPProo/T39/PQQw8hSRIPPvhgQu357//+7/zmN78Z+PPy5ctZtmwZeXl5dHV1sWvXLp5++mkCgQDbtm1j6dKl7NmzB7N5aN3bxJWBIHyGqaCIwpVfp/nJhwl2dNP2swfJ+NrtGEcXxzu0IdFYLaTffR32C+bR+/zb+CoqaX5pJ+2rD1B4yxzyrpqGrBc/AuIh7A/SueEoLa/vxXm4deD9uvxsbEvnYjlvGrIpfm0sQ5099PzzTby7I8kSXVoGWVdcj7mkLKr7KIEA7a8+C7JM9rW3Ym8AopAoBFBCAarefSSSLNTbyRyGF/7hcIDDR16mqOh8Uhtjl8Q6E5oJ45jt+zp9/XXY7bE/8VzfsB6AlJKpGO3RP3ihMVuI1SVS2OfF21ANiPmFgiAIwsgU6nPgfGcjznUfofojNyn0GVmkLlqGbeI0cUNbEKKs53h14bTxGIrFWJBzia4gB9lqRnF58DU3YCpM3PmAHW+/Sn1tNWULbseYFL8DyolAVcK07nkPv6MLr6/n8x8QJxZLJjOnf4Wq6rdobvmItn1rcbZWU3L+bRhsqfEOTxBGBL/fz8qVKwcSd3/605+4//77Bz5+66238qUvfYnFixfT1tbGX//6V66//nqWLj39w+/R3LOhoYHf/e53AGg0GlatWsXFF1/8L5/3gx/8gEWLFtHc3ExlZSWPPPIIX//614cU9/D3txOEEUCfnknBPV/HkJOP4nTT/suHca7dGu+wTou+KJes795N5rdXosvPJuTyU/PwB2y76zHa3q1ACYXjHeI5w1nZTuUf32PLDQ9x5Ffv4DzciqSVMc+dQtZ/fJmcn34D29K5cUsWqoEgfa+9T8t//DaSLNTIpCxcStF93456sjDY30vjo3/GeWAPzgN70O5ujtraSihI9fuP4+6oR6M3MWXKXRiNyVFb/2Tq6tfR3rGPA7v+gaoqn/+AODEak8jOmjI8e40ei96WSnaUqwv9zthfzHkqD0NYQZuTMaKqzAVBEAQh2NFN9+Ov0PydX+F4ZyOqP4AhJ4+cG++g6KvfxT5lpkgWCkKU+TvacB7YA0CyqC4850iyjHFcZNicp/ponKM5NV9TA/62Ztwd9fEOJe56avbgd3Sh05rJy50b73BOSaPRMWb0lUwcfzMavRF3Zz2HXv0NjqYj8Q5NEEaEv//979TV1QFw+eWXfypxd9zo0aN54IEHBv78gx/8IGH2fPfddwfakF5zzTUnTBYClJaW8v/+3/8b+PMHH3ww5LhFeZEgnITWZqfg7q/S9upzuA7soeeJVwnUt5B62xVIupH3X8c0aTTGCWW4N++i7+V38bc7OPKrd6j7x2byr59JziWT0JjE3JJoCzp9dKw9RNvbB3BVdQy8X5Oegm3JbKwLZ6JJssUxwgjvviP0PPU6oY5uAEwlZWSuuAZDZvQnfnsbaml59h+EXU40ZgujltyBOS06J3CVcIiatY/jaDqMrNUzZcIXsFqyorL2qbjd7TQ0bgRgrG0ekpQ453FUVeWI80OsJRPIZHjnqGSMPY/0MXOi+vXw9rVz8KVfYfqolPw7vxKzG56uo5EKW7NoRyoIgiCMEIHGVvpXrcfz0T5QI/OpjAXFpC6+AEv5OCRJinOEgnD2Oj670DxjAvqi3HiHI8SBcUIZnu378dRUknb+iW/kJgJTQRG+xjrcnfWklc+MdzhxoyoKbXveA6CgYEHMx3VES2bmJGy2fCoOPYvD0UjQ54p3SIIwIjz77LMDv//Wt7510s+76qqrKC4upq6uji1btlBfX09RUVHc9+zo+Piecnl5+Sn3/eTHXa6h/4wYeVkPQRhGst5AzvW305uTR9d7b+HasI1gcxvp99+GNtke7/CGTJJlrAtnYp49Gef7W3C8sxF/h5PqB9ZR/+QW8q6aRt5V08SMwzOkhhX69jTS9m4FXRsrUQKR2YSSToNp+kSsi2dhHFuKJMc/qRTq7afnydfw7ookRzQ2OxmXXIlt4tSY3FTq372d9tefh3AYU2oOoy5YGbUWGqqiULP2CfobDyFpdEyZcDvJSaf3pD6kfVWVI5Wvo6oKGYZiMo2J1X6mzrOHOs9epIr92OZ8C5NpeFqW9I+KXHBFO3nafXQbALLJHLNkoRoO4z56CBDzCwVBEITEpqoq/sp6HKvW4917eOD95rKxpC5ciql4lEgUCkKM+dtbcVXsBcTswnOZcXykK4+3qR4l4EfWJ2YCypgfuUZ2dzbEOZL46q3bi6+/A43eRH5eYlcXfpbJlML0qffS3X0Ufdm0eIcjCAnP6XSyadMmAGw2GwsXLjzp58qyzCWXXMJf//pXAN5++22+/OUvx33PzMzMgd8fPXrqSvZPfnzChAlDjl0kDAXhc0iSROrCZRiyc2l96Un8VQ20/eRPZNx/G4ay2CcjYkE26Em6dDH2C+bh2rwLx1sbCHX2UP/EFhqf30HOisnkXz0NY3ZSvEMdUdz13bS/W0H7+4cIdH18gkOXn4118Sws501FY7XEMcKPqYqCa+MO+p57C8Xji7QfnbuItCUXIRuMMdmz76NNdKx6GYDk4skUL7oJjS6KF1GShC2nDGdrFZPH3UpKyqjorX0Kbnc7fX21SJKGcbYFw7LnYLX7ajji3AJA2ajlw5YsrK17HyWcTlrZjKgSU9p0AAEAAElEQVQOYldCQbqOJQyTps+O2rqf5a2vQfF6kC1mDGWFMdtHEARBEE6Xqih4dlbgeGcjgepjN30lCeuEKaQuXIoxZ3i7CgjCuaxnw5pIdeHMSegLcuIdjhAn2oxUNOkphLt68dbVYBmdmAcPjycMPT0tKKEgsvbc7DTVWxNJ8hfkzEWrjc09kFiSZS0ZGeOh2k//KANBj4PmnW9TMOdKNPqR9/cRhFg6ePDgQDvPadOmofmcw+ezZs0aSN7t378/Ifa89NJL0ev1BAIBXnnlFd555x0uueSSf/m8mpoa/ud//gcAs9nMfffdN+TYRcJQEAbJUj6Ownv/jZZnHiPQ0Ubb/zxM6u1XYl08a8Se2pX0Omznz8G6aCae7QfoX7WeYGMrzS/tpPnlnSRPKyRn+STS55ch68WPixMJ9nvoWHuY9jUHcR5tH3i/bDZinjMF68KZ6EvyE+p7JNjSQfc/XsZ/tA4AQ14B2VffHJP2o5+kz8wGWSZrwiLyZq2IeuWZJElkTVxEiXYyOt3wVcn29FYCkKrLwaxNnMrj/mAnex3vA5CXO5eCgvnDsq/H00Vt/TqoUzAmZWLNKo7a2j01uwn7PWiTUrCUx+4C/Pj8GfOM8WLGkyAIgpBQFK8f18btONd8SKjz2ExfrZakqTNJmX8++rSM+AYoCOeYQFcHzuPVhVdGd263MLJIkoRpfBmuD7bjrj6asAlDbVIyGquNsMuJp7sJa1ZidcgZLu6uyGGblJSyOEdy5uxVPrYfeQpXWzXujgbKLlyJwZ4W77AEIWEcOfLxrM+Sks//mffJz/nkY+O5Z25uLr/61a/45je/STgcZvny5SxfvpwLLriA3Nxcuru72blzJ08//TSBQIDMzEyeffZZRo0aejGFyAAIwhDo0zIovPfrtL3yDK6D++n5x8v4DlWT9oWrkC0jt42npNFgmTsF85zJ+PYfxfHORnwHq+jb1UDfrga0NiOZS8eSs3wS1rLMz1/wLOfvdtG1qYquTZX07W0EJTIjRtLIGCePwTJvOuap4xJu1qUaCNL/5jr6V22AcBjJoCf9/OUkz1kQu9aOqjqQLDWXlDH+ym9hTMmOagI14OpFozeh0RtJqvbDMCYLATo7I+1cMw2Jc6HlC7vZ1fsWihIkNaWc8rIVw7Z3dc1qUBXs+eOimixUVZWOisicyOTZ82PajtR1cB8A5tlTYrKHIAiCIAxVqLsP53sf4ly/DdXrA0A2W0ieNY/kOQvQWuM/E1sQzkU9H7wPqopp2jhRXShgnFiO64PteGpO3S4uniRJwphfhPvwAdwdDedkwlBVVQrmXoWnqwmbdeTPHJUkibG5F7Ov50l8fW0cev33jFp2J7ac4em6JAgn4nA4PvVng8GAwRCfVs19fX0Dv09PT//cz09L+zjh/snHxnvPb3zjG+Tl5fHv//7v1NbW8vbbb/P2229/6nOsVis///nPufPOOwe174kk1t1sQRgBZIORnBvvpHfjWrrWvo3no734q+pJ//LNGMtHZovS4yRJwjR5DKbJYwh29uDeuAPXpp2EevppeW0PLa/twVqeScaSMaTPL8OcPzztDROBr62fzk2VdG2sxHGwBdSPP6YvzsMyfzqWOVPQ2K3xC/IUfIeq6X78FUJtXQBYRo8n87Jr0CXH7t8w2NdD24tPk3nF9Rgys7HVq5Aa3YtoJRSgas2jKOEQU8fcBubhPVWvqioZGRMAlawESRiG1SC7et/Cr7gxmzOYOOFm5Ci2BT2V/v56OrsqQJLIn31ZVNd2tdfi7WlB0ulImjEnqmt/kqe2irDHjWyzYBxXGrN9BEEQBGEw/NUNONZsxrN9P4QjbY10aRmkzFuMfcpMZL0+zhEKwrkr0NONY99OAJIuF9WFAhjHjQJJItDeSsjpQGtLnA40n2TKLyLQ3ookR7frz0ghSRIpxZMpDo+JdyhRY7fnM2vGfezb/xROVzOV7zxEyZJbSSkRh2BHOnutH602cbqWfZ5QyA9AQUHBp97/4x//mJ/85CdxiAhcro/HRhmNn9+y12T6uBDB6XQm1J5XXXUVBoOBb37zm9TU1Jxw39/85jd4PB7+8z//83NboZ6ISBgKwmmQJInURcswlZTR9uKTBLt7aP+fh0i6cilJly89K1506TJSSb7mIpKuugBfRRWuD7bj3V2Bq7IDV2UHtX/biLkwlbR5ZaTPG4VtbA6SPHKewD5P2Bugb38zfbvq6d3dgLu681Mf148qxDxjAuaZE9FlJm6rh3C/k97n38a9eRcAGpudzEuvxjp+ckzbpHqb6mn5598Ju5x0Pf88Yy67H6K8n6qq1G9+CW9PK1qjFa1m+G+YSZJEYcECytzFw773ychoSMoejbfdzZRJdwzbPAZVVamqjpxsSi+fjSklui1ueyp3AGCfPAONOXazQAeqC2dMEO1IBUEQhLhQQyHc2/bjfO9DAjWNA+83FY8iZd4SLKPHnRXXG4Iw0vVsfA8UBeOk0RhKCz7/AcJZT2OzoC/MJVDfjKfmKPYpM+Md0gmlLDif1EXLIod6hbOGwZDE9Gn3cvDQC3R2VVCz9kkK53vIGHtevEMTzkGNjY3Y7R8fmvi86sIlS5awYcOGqOz9zDPPcNNNN0VlrURSV1fHVVddxd69eykoKOBvf/sbl1xyCVlZWTgcDrZs2cIvfvELtmzZwo9//GO2bdvGiy++OKiE5SeJhKEgnAFTQRGFX/kOHW++iHPfLvpfeQ9fRRXpX7oJbVpyvMOLCkmWMU0ajWnSaMJON57t+/HsqsB/qBpPQw+ehm00PrsNfaqFtLmlJE8tIGlSPoaMkdUWSQmGcR5po3dXPX27G3AcbEU9doobAFnCUF6MeeZEzDMmok1Nil+wg6CGwjjXbqHvlTWoXj9IEkmz5pF+waVojLFt2ems2EvbS0+jhkKYUnMoPf+2mCQnOw9uoqdqB0gSk8bchMGQ2P8mwyU4rpByCiksWITBMHz/D7u6DtLvaEDS6MiZfnHU10+56Vq0h0ZjzI5dyxhVUXAdigyXNs+cFLN9BEEQBOFEwv1OnOs/wrX2I8L9x04WazXYJ04nee5CjLn58Q1QEIQBwb4eHHu2A5B85bI4RyMkEuOEskjCsLoyYROGxw+dOIukczJp2FO9C43BjCWUi1YbnxaJsaLR6Jk44WaOHH2dltZttB/YQFrZTGStLt6hCecYu93+qYRhPFmtH3eD8/l8n/v5Xq934Pc22+ndV4v2nm1tbcyZM4eOjg5KSkr46KOPyMj4uMtaWloal112GcuXL+eaa67h9ddfZ9WqVfz3f/83v/jFL4YUu0gYCsIZ0hiN5Fx3G5bysbSvehH/0Tpaf/h7Uu+4GvPs2FZxDTeNzYJt6VxsS+eieHx49x3Bs6sC774jBHrctL61n9a3Ijfbjdl27BPzSJqYT9KkPMyFqQnztVAVFU9jD84jbQNvrupO1GD4U5+nSU/BNL4M4/gyjONHJWy70c/yHaqm56nXCTa3A2DIzSdzxTWYCopjuq+qKPRsfJ/u9yNVZkkF4yhZchsaffQr3Hpr99K49TUARpVcTErK8LeODIV8dHYdJD1tLPFuBqaqKs3eQ6RNWcLxmrjhTBaqqhKZXQhkTVqM3hL95K2k1WKfNC3q636St76GsNuFbDFjHCvakQqCIAixp6oq/qoGXGu34t6+D0KR16Mam53kWfNJmjlXzCcUhATUs3EthBWME8owlI3s0SRCdBknlOF4awPu6iOoqpow90FORFUUlFAQWRvvK9rho6oqjVtfI+RzkTTtyyQlFcY7pKiTJJkxo6/EZErFPEskC4WR4brrrmPq1KlRWWvMmE+3G05OTh74fVdX1+c+vru7+4SPHYpo7/mzn/2Mjo6Ogd9/Mln4SRqNhgceeIA33ngDVVV54IEH+O///m+02sGnAUXCUBCixD5lJsaCYtpeeApfcwNdDz6DaeseUm+78qypNvwk2WzEMncKlrlTUIMhfIdr8O4/gv9oHYGGFnxtDnxtDjreOwSA1mbEXJiKuTANc1HkV0thKoZMe8xamYY8AXytffha+/G29uNr6YskCo+2E/YE/vXvZLNgHDdqIEGYyK1GTyTU3Ufvs6siM24A2WomfekKkqbPiXnbKsXvp/XFp3AfqQAgc8JC8mdfEZN9na3V1K5/GlDJy51DYcHCqO8xGF3dhzl0+EWs2lQWpMev1YGqKhxybqLBc4C0ilYmT7odSRreNmWSJFOw7Cba9q0je9L5UV1bCYeOXWTH/iXL8XakpunjkLSiHakgCIIQO4rPj3vLHpxrtxJsbB14vzG/iOS5C7GNn4w0hAt7QRCGT7C/l/5dHwGQdIWoLhQ+zVhejKTTEnY6CHS2Y8iM7qiGaOndvJ7uDe+SOWY+eTMvjXc4wybo7iPkc4EkY7XmxDucmJEkiaLCRdAO/cfOvjtbq7BmlSDJ4lpXSDz3339/zNb+ZAKxtrb2cz//k5/z2eRjvPZ88803B35/0UUXnXKt/Px8xo0bx8GDB3E4HBw6dIhJkwbfRWvEXYEcPnyYadOmfaqUU1XPvfJ5ITHpU9MpuOdrdG9YQ8/G9/HuPkTLoWqSr70Y27LzztpZI5JOO9C2FEDx+vFX1+M/UofvaC2BmkZCTh+OihYcFS2feqxs1GLMTkKXZEafZEKXYkaXZIr8OcWMrNegKiqogKoe+33k17A3QMjpJ+T2E3L6CLp8hFx+Qg4fvrZ+gv3eE0R7LGa9Dn1xHvqSfAwlBehL89FmJE4V5FAo/gCO1RtxvLkeNRD8uP3o0ktiOuvtkyStFiXgR9JqKZx7Nelj5sZkH1VVadr2BqoSJiN9PKPLL4/bv1ln10EAMg3FcdkfQFHD7Ot/nzZfFSCRljp62JOFx1mzSii7sCTq63Yd+YjWg+tIX3YJ9qmzor7+caqi4DyWMLSIdqSCIJwBcb0inEqguR3X2q24Nu9C9fmByGtp28TpJM+ehzHv7Kt0EISzTe+mdRAOYxhbinFM9F//CiObpNdhGF2Cr6IST83RhE0YSgYDis+Hu6M+3qEMK3dnZDaw1ZKFRnNuVN4lVfupk49Qs+4JkgrGU3r+7aLqUDinjB8/HlmWURSF3bt3Ew6H0WhOnjjfvn37wO8nTpyYEHu2tHx8Pz0p6fO7en2yStHlcg0y6ogRlTBUFIWVK1cOqu+rIMSLpNGQvvQSbBOn0v7a8/ga6+h9+g3cW/eStvJa9HlZ8Q4x5mSTAdPE0ZgmRhKIajBEsKWDYGtH5NeWzsjv27pQfCE8dd1A96kXPd1YbBa0GakDb7qsNPTFeehyM5FO8YN6pPDuO0LPk68R6uwBwFRUSuaKqzFk5w1rHJJGQ/l5txGc3I85PXbzdSRJouyiu+le/zZloy6NW3JMUcL0dB8FIMsYn9aVihpmd987dPrrkSQN48deR1bWlGGPIxTy4R4Tm/mRqqLQUfEBIUcvYX9sn/t9jXWEnQ4kkxHj+LKY7iUIwtlLXK8IJ6J4fbi37cO9cQf+qoaB9+vSMkieNQ/71JnDdshLEIQzE3I66Nu5FRCzC4WTM04oiyQMq46SMndRvMM5IVN+pJWuu6sRVVXidm093DzdTQDYbMN7zyTeLB0Kkqyhv6GCytUPU3bRPWh0Z9f8RkE4GZvNxvz589m4cSNOp5NNmzaxePHiE36uoiisXr164M/Lly9PiD1tNhs9PZF7v42NjZSWnvpeZH39x4dB0tKG1kFvRCUM//CHP7BlyxYsFgtutzve4QjCKRkysym4+376d2yh8703CVQ30PqjP5J02RKSLjsfSTei/vudEUmnRV+Ui74o91PvV8NhQp09hLr7UJxuwg4XYac78nunG8XhQg2FQZKOtS2VQAJkGSQJ2WhANhuRLSZk8/E3I7LVjDYtGW1GKrIp+vPzEkGot5/ep9/EsyPSflRrTyb94suxTZw6bBV3/Tu3EujqJOPiyyOD0k02dKbYz9hJb9GTPvrKmO9zKl5vN2ElgEbSYteeuG94LH0yWSjLWiZNvI201NHDHofb3cH2PQ+S6VxI7vSLo15F3Vu3D7+jC9lkJmnq7Kiu/VnOA3sAME8ff079fBYEIbrE9YpwnKqq+I/W4vpgB57t+yNdIABkGeuYCSTNno+5pOys7UAiCGervo82QSiEflQhBjHz+l+o4TBhhxtNkvWc/vlmmlBGH+Cpq0YNhRKyxbQ+MxtJr0cJ+PH1dWBKScxKyGgLuCI33C2m4b+Oj6eM9HFMnXQXeyuexNVWQ9W7j4ikoXBOuemmm9i4cSMAv/nNb06avHv11VcH2oPOnTuX4uLihNhz0qRJbNiwAYCnn36aH/7whyfdd/369TQ3NwOQmppKWdnQDsUn3jPWSVRXV/ODH/wAiAx2/Ld/+7c4RyQIn0+SZZJnz8cyZgIdb76E+0gF/a+9j2f7ftJWXnvOD0eXNBp02Rnoss+tF2pnQlUUnO9voe+ldyNtrGSZlLmLSDv/YmTD8LzQU1WV7nWr6Vn/LgBp1jLIHxvTPZu2vYExOYv00bFNGg2W290OgFUbnza2+/vXHksW6pg86XZSU4a/Ik5VVY5WvYkS9OPtaYYofx1UVaVt7/sApMxdGNPvbzUcHkgYWuYMf5WmIAhnB3G9IkBkprT7w924Nu0g1P5xBw19eib26bOxT5mJ1maPY4SCIJwuxe+jb8cmAJIuXTwix1lES9jlIdjcRrC1i1BbF8H2ToJtXYQ6eiAcRpOegm3JHKyLZqKxW+Md7rDTFeQg2ywoTjfepnrMxaPiHdK/kGQZY04+3voa3J0N51DCsB8AgzE2XXISWUpyCdMn3cWu/Y9FkoZrHqX8onuQtfp4hyYIMbdy5Up++ctf0tDQwBtvvMEDDzzAV7/61U99TmVl5afe99Of/vSk6xUXFw9U8a1bt44lS5bEdM9bbrllIGH485//nJkzZ56wErGyspI77rhj4M+33XYb8hAP8IyIhKGqqtxzzz14PB5mz57N17/+dXEBLowouqRkcm9ZiatiLx2rXibY0kHbz/+Kbdl5JF97MbJJnOgRPp+/ppGex18lUB85JWLMLyLriuuGtf2oEgzQ/voLOPfuBCB76gXY805vAPBgdR3dRvv+9QBkebPAGv8LGZe7DQCbdmhl/dGSN/5Cug+0MX7cDaSmxOfis6NzP729VUgaLQVzr476DRNH02G8PS1Iej3JcxZEde3P8tRVE3a7kK1m0Y5UEITTIq5Xzm2K24t7xwHcW3bjP1wz8H7JqMc2YRpJ0+ZgLCg6p5MLgnA26N/5EYrHhzY7HdO0cfEOJy7UUIj+VRtwvLkWNRg+6eeFu3rpe/Ed+l99F9PMSdiWnoeh/Nz5OSjJMsYJZXi27sVTfTQhE4YAxvzCgYRhohzOjbWAuw8Ao+HcSxgC2O0FTJt4J7sPPIartZqqdx+l7OJ7kTUjIkUgCKfNaDTy6KOPcumllxIMBrn//vt55513uOKKK7BYLOzatYtHHnmE/v7IoYJ7772XCy64IGH2XLlyJY899hhbt27F7/ezYsUKVqxYwSWXXEJWVhYOh4PNmzfzzDPP4PV6ASgtLeVHP/rRkOMeET8N/vrXv7J+/Xp0Oh2PPPLIkLOigpAIJEnCNnEq5tJyOle/jmP3dpzvfYhn90HS7rga0+TYJl2EkSvU66DvxXdwb94FgGw2kr7sMpJmzB3WNi/Bvl5annkMf2sTyDKF511DxtjzYrqnq72Whg9fAqC4aCnWBEgWArg+UWE4XHxhN0aNhcDYfOzAeXO+E7ch7aGQj8qqtwDInrIMgz36idPj1YXJM+fFfK6Tc/9uAMwzJyFpR/5sU0EQhp+4Xjn3qKEQ3n1HcH+4B8+eQxAKDXzMVDwK+7TZ2CZMRtaLg4GCcDZQw2F6P4yc7LcvX3ROttv0VzXQ/dhLBJsj10KGLDvmwlTM+SmYjr2Z81PR2U10fnCEljf24jzcFkmabd2LLj8L29LzsC6amZAtOqPNNKH8WMLwCCw7vRlYsWY8NsfQ09kY50iGT+nS2/E7e7AEs+IdStwkJRUeSxr+A1NqDpIsroGFc8MFF1zAc889x8qVK+nr6+PNN9/kzTff/JfPu/fee3nwwQcTak+tVstbb73FHXfcwRtvvIGqqiddC2DOnDk8++yzQ55fCCMgYdjQ0MD3vvc9AL773e8yadKkOEckCGdGY7aQffXN2CZNp+ONFwh299Dx28ewnDeVlJsvOyfbdQgnpgSCON/ZSP+q9aj+AAD2qTNJv+hytNbYzwr8JE9tFa3PP0HY7UJjtjBq8Rew5ca2EsvT00LVu4+ihkOkp42jpHhpTPcbivJRl5KdNZXU9tifkFVVhWr3Tmrcu5k27V6On4OMV7IQoLpmNYGAA4M9nexJ50d9fU93C672WiSNhpR5J+7xHi1qKITr4D4ALHMmx3QvQRDOTuJ65dyhhsL4Dlfj2bYPz86DKG7PwMf0mdnYp8zANmk6uuSUOEYpCEIsOPfvJuToQ5Nkw3retHiHM6wUr5++l1bjfP9DUEGXbKLsvvPJOH/sSSsGsy+eSPbFE3EebafljT10rD1MsKmdnidexbOrgoyvfwFZH7/rmeFgnFAOgK+5kbDXg8ZkjnNE/8qYX4h51BhMhcXxDmXYWDIKyXVkjYA74rGVlFTE7On3E5iQc85U/goCwNVXX83cuXN58MEHeeONN6irq8Pn85GTk8OCBQu4++67TzprMN57pqSk8Prrr/PBBx/w9NNPs3XrVhoaGnA6nZhMJnJycpg1axY33HADl19++WkfYpVUVVVP65HD5JJLLmH16tWMHj2affv2YTg2w+iTP8zO5K/gcDhISkpi1H/8Ao3ReMbxCsJQKAE/3WvfoXfLB6CqyFYzKTetwDJ/unjCPoepqopn+356n3uLcHcfAMaCYjKWX4kpPz5zL11HKmj5598xpeYyatmdGGyxrazzO7o4/OafCXmdJNmLmDrlLjSaxOurrz/cFNP1fWEXe/veozfYAkBR4RJGlV4U0z0/T39/PTt3PwyojF7+lZgljjs0Dfhbm0meNS8m6x/nOlJBy9OPokm2kffb/3dOnhYX4k/x+mj8yk/o7+/HbhezzUaaWF6vHL9WKXjwJ8gmca0SD2o4jO9QzbEkYcWnkoQamx375OnYp8xAn5UrXr8LwllKVVXqH/g/Ah1tJF93CUmXLYl3SMPGs+cwPU+8Qrgn0i4t66IJjPrSYnRJpiGtE3L5aHv3ILV/34TiC2IcX0bGN76AbEi8a7z/z95/x9dxnnfe/2dmTu/ovREEe+9U7703y5a7ozhOvIntPMlms5tsNpvN/pLdPJtN4p9TLJfYlots2ZKs3ilRlFjE3kkQvffTy8w8fxwQFC12AphzgOv9euF1Ds4ZnPkCBHFm5rrv655Mnf/p78h091Px6OfxL8rtwYn+1py+PDypgseTVkfIKaONTgw9Q+/etyhbet0Z25PqqQS7fvCf5XxlGp08D7jmqj/HZsuf84BMJsGmd/9SflfyWE6Pp/jud7/Lyy+/jKIo/Nu//dvEybcQM4XqcFJy2734l66k51c/JdXbzeC3nyKyaRuFn7sfR9XsbZEwWyWb2xn+yfMkj7QAYAuEKL7lTvxLrS0i++YvpvHGzxOomjflC2LrqThHXvoXMvEwPm85y5Z+dlYWC3sTJ9gbeYtMJo6mOZk/717Ky1ZM6T4vRCw+hKLZKJyzYsqKheE6BTd101Ign2hHunaZFAuFEBdNzldmJjOVJn7gOPGdB4h9uB8jHJ14TvP68C1ahn/JCtx1c+S9Q4hZIHr0IKm+nuy6pNevtzrOtDAzOoPf/cXEshiu8iBNX7+JwtX1l/R6Np+L6gdW4W8qZe+fPk3iwDH6/s/3KP3a51BdM/e90724iXB3P7HjR3K+YDgbxIa6iHQfx0yUEAo1WB0nZwSPJ9nZ+jOGT+wi2t9K442flzalQsxiOVsw7Orq4hvf+AaQ7eF6zTXXTMrrJpNJkslTI0nGxsYm5XWFuByuqlrqfucbDL/3FoNvv0LySAvdf/5/Cdx6NcF7b5zxo+4EpDp7GXn6FeI79gOgOOwUXnkDBVdej+qY/n//9Mgwvc8+RdndD2EvKMyONqxbMi37Vu0uiuetZ3j/Byxf9gXs9osbvTrVhoebGR1rozTlI+SY/DUVY5lRjkW205U4DIDfV8XiRY/i8Uz+OoGXwnPlBhYva0KzT80INz2VAKbn39xIpYgc2QeAd8PyadmnEGLmmIrzFTlXsY4eiRHffYj4zgPE9x6ZaAcP2SUFTisSanIRTYjZZPidNwDwXbsO1Ztb5yZTwTQMBr79FLH3d4GqUP3gauo/ewWa+/JbiAaXVrP0bx5i75/8guShZvr+3+9S+vUvoLpnZtHQtXgu4dfeI3bssNVRzikTjRAbHMFTVGV1lCkV7jpKxwfPkixZKgXD31AfWM2Ito/RtgO0vvsUdVd/QjonCDFL5WzB8Ctf+QojIyNUVlbyt3/7t5P2uv/zf/5P/tt/+2+T9npCTBZF0yi8+kb8S1fS98KviB7ax9gLbxN9fxeFn70Pz4qFVkcUU0AfizDy85eJvLMdTBMUhcDy1RTdeDv2oDXr38Q7Wun84bcxYlF6n/kpC6//nWndv6IoLPBfTWbNOmy23DtxHBg8SHvHZlLuRVNSMBwuU+gayJ5Q1lRfReOcW1DV3Hi7Hm3M/ns4/VNTvEyM9nPg2f+X4Mp1lNx+35TP2ogeOYCZSKEVF+CYUzOl+xJCzDxTcb4i5yrTxzRN0p29xPceIb77ULa7g2FMPG8LBPEuWIJv4VI89Y1SJBSXzBz/vTp5XBNvbyF27DBmJoORSWNmMpjpNGYmjZFJU3DF9Xjq5wCQGuwnduIYmtuD5vZgLy7BHghZ9a3MSvH2VuKtzaBpBG692uo4U840DIb+/Rli7+9C0VQW/7d7KdowZ1L3EVxUybK/fYg9//EXJI+00Pd3T1D6jS+ievKn5d6Fci1oBE0lPTxIengQe0FuDAL9qNiJY3R89/+Pw1/E0kf+1Oo4UyoVGQHA5QpZmiMXFRQ0smThJ9m7/0cMHt2GzeWlau1dUjQUYha6pCuQ1113HW+//fakBPjxj3/Mo48+etpjTz75JM8++ywA//RP/0QwGJyUfQH8p//0nyZGAkN21G5NjVwkFLnDHiqk6lNfJHJoP30v/JLM0BD9f/99PGuXUvDondiKQlZHFJPAzGQIv/oeI8++jhnPziTwLVpG0Q234Syd/CLUhYq3naDzB/+KkUziKapmzpqHp23f0b5W3IWVqLbsyNVcLBYC2O1eADoThyl11lPqqr+s18sYKSKZYTzLVgNQbBpUVa6nvGwlwWDt5cadFIahs//gTynwXou/fHIvGHxU985XMVMp0iPD09LiLbwv247Uu26ZnAgJMcPk6/mKnKtMLT0SI7H/KPF9R0jsO4o+fPoMTkdZBb4FS/AtWIKzslreG8QFMw2DzOgwyb5eUn09pPp7SQ32kxkbJRMepeYLv4e7LjubJdHVzuCbL5/1tUJrTq3fHG87Qd+zT532vC1YgLu2HldtPb4FS7EHQ1PyPYmskS3Z9xLvhuXYCifv2lQuMk2ToR8+S+StD0CBBX9y+6QXC08KLKhg+f96mD3/8eckj7XR+7++Ten/80U0r2dK9mcV1e3E2VBD8lgrseajBFfnXsHQWZ6dVZgKD5KOR7C7fRYnmjqZRAQAh2Pmfo+Xo6R4IQvm3c+hw7+gd+9baE4PFctvtDqWEGKa5caUhY/o6+vjD/7gDwC4//77uf/++yf19Z1Op6wtIvKCb8FiPHPmMvjmKwxveZvYtr3Edx3Ef9vVBO+4bsa27JjpTNMk/uF+hp96mUxPPwDOympK77gfd621LTFiJ47R+aNvY6ZS+CoamXvzl9Ds0/N7loqOcuSlf8HuCbB64RfBlbsn43W11xCJ9tDXt4ddo6+wWrmDImf1Rb+OYep0xA9yLLINU1PZmFmCzeZEUVTmz7t3CpJfupbWN+nv38fQa80s/cR/mZLfi8RIH0PN2TVSiq6/ZdJf/zfpiQSRIwcBaUcqhLg4U3m+Iucqk8tIpkgeayVxqJnE/mOkTnRkOzqMU+w23HWNeJsW4p2/GEdh7l3IFbnHSKdIdnfiKC5F82QHko28/w79Lz1z1q+xNY/gJ/u7p6o1mPM3oNrsKJoNVbNnP8Y/D+mV2Fuz2xoxP4naRWSSMTKJKMmxATKjw4T3DhPeuxNHYclEwdBIpVBUFcWWc5d58lZ6dJjwgT0ABG65yuI0U8s0TYZ/+CyRN94HBeb/0W2UXr9gSvfpn1fG8v/1MLv/+ClSJzro+9tvU/bHj8+4tq+uRY0fKRhusDrOx2huN47iUlIDfcT62wjWLrI60pTR0wkAbNrMm806WSorVpPJxDl2/AW6tr+AzeGmZOEV5/9CIcSMcUlHkg899BArVqyYlADz588/7fOvfvWrDAwMEAwG+eY3vzkp+xAiX6kOJyW33o1/2Sr6X/gl8dZmxp57k8jb2wg9cAu+a9ZMyywccflM0ySx/ygjv3gle7EK0Lw+im+6g8DKdZb/O0aPH6HryScw02n8lfOYe/MXUG3Tt3Zi+/u/wkgncRounE7/tO33UiiKyqIFD2PoaQYGD7Jj9EXWhu6iwFFxzq8zTZOoPsJAsp3BVBtDqS50MwOA21lEIjmCz1Y2Hd/CRRkba6el7S0Aajc+MGVF5K4PXwbTxLtgMa7KqZ9NEz20FzIZbBUl2GvO/W8nhMg/cr4yOxnJFMnjbSQPNpM43EzyeDvo+mnbOErL8c6dj2fuAtx1Dah2WStcnJ1pGKT6e0l0tJLobCPR2U6ytxsMg4qHP4N/6UoAHCVlKKqGK1SKK1SGO1SOM1iCw1eAwxPA7glMvKa3tA5vad0F7T9YvYBg9amijZ5KEB1oJ9rbQqSvhWKzlvj4c8Ob32R051YKr76RwMp1qFI4vGwjWzeDYeCc34CjrtLqOFPGNE2Gn3yO8OtbssXC/+dWym9ZPC379s0tZcXffYLdf/QUqdYuhp58juLHH5mWfU8X16K5jD77BrHmo5immZOz113VdaQG+ojO9IJhKlsw1HK0m1GuqK25ikwmTlvXe7hCuXeNQggxtS7pCPKrX/3qZOcAYHR0lKeeyrbbWLx4MU888cQFfd1f/dVfTdx//PHHKSuTP2ZiZnFVVFH9xd8jcnAvA6/8mvTQAEPfe5rwa5spePRO3EvmWR1RnEPiaAsjP3+Z5OETAChOBwXrr6HgquvRXNaPnjRNk8HXXsBMpwlUL6Txxs9NtAWdDsMtexhp2QOKyoL596EouV8EV1WNJYs/yZ69P2Bo+CgfDP2SclcjAVspqqKhKTY0RcNvK8JvLwagM36QfWNvnfY6DkeA+tprqaxch6rm3tpIup5i/8GfgWlQMGclhY0rp2Q/scFOhk/sAqD4htunZB+/aWzveDvS9ctz8qRdCHF55HxldsgMjZI81potEh5rI9XaCZnTC4S2QBB3w1w8DXPxNM6X9o3igsVOHKPrp9/HiEU/9pzN7cfRk8QfyM4E9NnmUva5/4kyxcdzmsNFoLKJQGXTxGP+VhPTNGjbuYvMyDB9z/2cobdfo/DqGwisWo9qn77j+pnESKUY3b4FmNmzC03TZPjHvyb86nsAzPvGLZTfumRaM3gbiln8l/ey6w9+THTzh3jWLsOzYmpnN04nZ2MtisOOHo2Q6uvGWZZ7xWdXdS1ju7YR7W+1OsqUOlkwtNlkhuH5NNTfRGXFWpIVcswqxGyTU0POzI+0h3nvvfd47733Lujr/uzP/mzi/l133SUn4GJGUhQF/6Jl+OYtYmTrZgbfeYV0Ry99//s7uJbMI3TfTTjn5sZ6ZyIr1drFyNOvEN99KPuATSO09koKr74Rmy93ZtEpikLlY18i8vzrVK29E1WbvreGdDxM2+afA1BXcw0+X/7M9FJVG0uXPMbuPd9nZPQEPYnj9HD8tG3qaq+jcc4KAHwxF8q2dwgF6yksbKKwsAmftzyni1XHjr9APD6I3ROk9ooHpmw/XTteAsC/dCXO8qk/gdZjUWLNR4BswVAIIS6UnK9Yx4gnSLV1kWrpJHmsjeTxNvSh0Y9tN1EgrG/E3TAXe0FRTr/XCmuZpkl6sJ/osUPEThzDO3cBobXZ1mv2wiKMWBTV5sBbUounuAZvSS3ekhrs3tBpv1dTXSg8H0VRWXjv1xk4/D49e94gPTZC3/NPM7gpWzgMrblCWpVepLE9OzDicWwlhbhXLrQ6zpQZ+fnLhF/ZDMC8r99Mxe1LLckRXFRJ9UOr6XhqB0Pfexrn//jajFnPULHbcM6rJ7HvKLHjR3O0YJid9Rztb8c0jbwYxHsppCXphVMUBZcrhOt4ktFGJ/HhHqsjCSGmiRwxCpFnFJuNgiuuJbBiDYNvv8rI1s0k9h2hZ98RXAsbCdx9Pa6FjXJhxCKmaZI81Mzoi5tI7DmcfVBVCaxcS9G1t2APFVgb8CMS3Z24KrILnBcM+ijYML3r5pmmSeu7T5FJRPF5K2iov2Fa9z8ZNM3B8mWfIxrtpbtnB7qewTDSGEYa3cjg8RRPbOt2F3HNVX+GpuVH67O+vr10dm0FoP6aR7E5p+aEPRUdZaznGKgqRTfcNiX7+E3hA3tAN7DXVmCvKJmWfQohhLhwejhKqrWLVGvn+G0Xmd6Bj2+oqjjLKnDV1OOuqcNVUy8FQnFeRjJJ7MRRokcPETt2iPTw0KknMzo1pRvHPwnhvOcP8BRVWV4QvBCqzU7p4qspnr+BgSNb6dnzOunwKP0v/IpkTzfl933C6oh5wzRNRrZsAsB/00bLl4+YKrEd+xh7/i0Amr52ExV3LrM0T/3nr2RwSzPxjmGGn/z1jGpN6lo0N1swbD5KwRXXWh3nY5xlFSg2G3oqTnJ0AFeo1OpIU6Lh2k+RSUTxxOUc8GLY9rQTt3dZHUMIMU1yqmAYCoVOG7V7Lh89CbzQrxFiJtE8Xkpvv4/QuisZ2vQ6Y3u2kzh4nMTB4zjm1BC8+3rcKxbKBZNpYuo6se37GHtxE6mWzuyDioJ/yQqKbrgNR1HuHJCahsHgGy8xtOk1yh/4JFUFayzJMXRsB6Nt+1FUjUULH0JVc+ot6YJpmoNAoIZA4Nzr7imKkjfFQoDuTHa2ZPmyGwhUTV3bY4c3SMPX/pRYy/Fp+38S2bcLAO86mV0ohLg4cr4yufRwlHRXL+nOPtKdvaTG7xtjkTNubwuGcFZU466uxVVTj6uqBtUh6xCJC2dmMjT/77/ASCYnHlM0DV/ZHAKVTfgrTz/m8ZbkXwcX1WandNGVFM9fz+CRrXQfeYeia2+2OlZeiR0/Qqq/F8XlwHf1WqvjTInMwDDD38222K5+eA2Vd1l/XKw57cz/o1vZ9bWfzLjWpK5FjQDEW49j6jqKlluDEBRNo+iG29C8Pmxun9VxpoyvrAEA+/HkebYUH+XxFFOvB2jjF1ZHEUJMg/y8OiuEmOAoKqH8/kcpuv7W7EL3H75Pqrmd/v/779hrygnecR2eNUtQ7PLffSoYyRSRTdsIv7KZTH92dLJitxFYsY6CK67NqUIhgJFO0fP0j4ns3w2AcmIQLJr06K9oxF85jxJnQ161Ip0t6q56hGD1AkJ1U7uGSbhOwUaAwNKpWR/xN2UiYWInjgHgWWdNyyUhhJgtTNPECEfJ9A2S7h0k05f9SPcNkekbxAh/fG24k+yFxTgrq3FVVOGsyN5q3pl7EVNMLtMwSHS1Ez24j/TIEBUPfwbIdmtxVdWR6R8kWL2AQPUC/BWNaPaZV3hWNRslC6+geP56IgWnzgWNVArVkT+D2Kxwcnah7+o1qJ6Z17rQzOgM/POPyUSS+BeU0/DF3FmjMbi4aka2JnXUVqJ63RjROInOdty19VZH+pjCq7Idf2ytMshJnG6mtqgVQpyZVBCEmCHsoQJK73yAwmtuYnjL24xs30y6vYeBf/kJ6pNefFetxnf9euylRVZHnRFSnb1E3nif6JadGLFsH3zN4yW0/iqC667EloMXtPRohM4ffptEZxtoGvVXPkJRkzWzCwEcvgLWNH0OkBOSXGKaJmNzXShAQcPUjTQ2TZPYQAfUTe/I/ciBPWCaOBqq5e+hEEJcItM0MRMp9HAEIxxFH4ugD42SGR5DHx4dv5+9NVPpc76WLVSIs7QcR0kZjtJynKVlOIrLUJ0zr4AjppZpGMRbjhPev5vIoX3o4bGJ54pvuZvCkSAA8676/IwsEJ6Nomr4xwsA3bH99P7651R/9ss4y2TA3pmkBvqIHj2Y7RZz0xVWx5kSI798leSxNjSvk4X/+S5Ue27NdpuJrUkVVcW1YA6xHfuJNR/NyYLhTKenEgwe24F/xEawbIXVcYQQImdJwVCIGcbmD1Byy90UXnUDIx+8y+iO98mMjTL24ibGXnoH99J5+G/ciGvpvBm7FsNUMQ2D+M6DhF/fQuLAsYnH7YVFFFxxHYEVa3N2tK4ei9Lx/X8m2dOF6vYw9/rP469otCZLOjlxkSbbrk3a5uaKvv59dET2Ul/7KJpjakdTD5/YxYk3f4jv+HIqHvnstLVPHtu9AwDvOmvXaBFCiIsx8vSrqD4PqsuB4nSgOp0oTjuKw4GiqWCzoWgqik0DTcvenvy7apofGZuTvW9mdMxMJvuRzkBGx0ynMdM6RiKJGU9gJJIY8QRmIokRT2LEEhiRKHo4ij4WhUzmwsIrCrZACHthEY7CYuyFRdgLi7EXFuMoLJbCoJgUox9+wMDrL55WJFTtzoluCcF+F9izj8+mYuFHmabJ6Ouvo4fH6Hn6SWq//HU5HzyDka2bAXAvX4C9rPg8W+ef2K6DE+sWzv/DW3BXBK0NdAYztTWpa9Hc8YLhEYquy702waZpkuhoZbi7jeqSDag2u9WRJlU6HqZ9y9NompNyKRgKIcRZScFQiBlK83gpuv5WCq+5iejRg4xs3Uzs2GHie7IftpJCfNesxbN2KfbymXciNJn0SJTIpu2EX9+CPjiSfVBR8C5YTGjtlXjmNOX0ybaRTtHx/X8h2dOF5vMz/9av4A6VWZMlk+bA0/8bf0Uji0pvBXv+t5eZKaLRPg4c+QVGOknfwRoqlt84ZfsyMmk6tz0PgLO0fNqKhcn+XhLtLaCqeDdOTwtUIYSYDOFXN1sd4YwUux3N48uueRQMYvMHsQeC2IIhbIFQ9tYfRLXPrIuOwnqpgT5Ulxubzw+AYrOjh8fQHG5C9UspqF+Gv7IJVZNLHicpikLjTV9g39N/Q7K7k5FtmylYf7XVsXKKkUoyunsbAP4bN1qcZvKl+4cY/vZPAKi8dwUl10zdOuWXK7i4iuoHV9Px85nTmtS1cHwdw45WjHQK1Z57g427nvwOejRC4V01+MrqrY4zqUxDB0BVc2tGrRBC5Jq8PXo2TWlhJ8SFUDQN34Il+BYsITXYz8jW9xjbuZVM/xAjv3iZkV+8jL2mAs/aJXjXLMVeWWp15JxgJFPEdx4k+v4u4nuPgD5+cOn2EFy9gdC6K7CHCi1OeWFUuwPfgsVkxkaYf8vvWFYsBOjd9zapyBCRNh21/E7LcojTZTJJ9u7/EUY6ia98DuVLr5vS/fXt30QqMowtEKTgyuundF8fNbbjAyA7YlwL+adtv0KI2Wkyz1eCa68EU8dIpTBSSczxWyOdBsPA1PXsh5G9Rc9wcvenxmQoEzeKZst+2DQUm338vg1F01BdLlTn+IfDmb11OdGcronioObxonm9qI7ZOVNLWEOPRgjv28XYru0kOtsovukOCq+5CYByzyK8N32BQPUCKRKeg93tp3rVHbS99wsGX3sR/6Ll2PwBq2PljPDenZjxBLbSIlyL51odZ1KZqTQD//Sj8XULK2j8neusjnRe9V+4ksH3x1uT/vh5in/rYasjXRZbRQlaKIA+MkaivRXPnCarI51GURRcVbVEjxwgNtA+YwuGiiIFQyGEOBc5khZiFnEUlVB6+70U33gb4X27CO/dRezEUdLt3Yy2dzP69KvYq8vwrFmKZ+VC7DUVOT1zbrKZGZ3E/qNE399F7MMDmMnUxHPOimpC66/Ev3RlTo4EPJ+i62+lquIK7G7r1lZMx8bo2fMGAI1zbkXT8u/nOBOZpsmhw08Ti/Vj9wSYc8NnUaZw1GU6HqZ77+sAFN9057S18TUzGcZ2bwfAd411a3cKIcSlKL75TjTX1LaKFiIXGZkM0SMHGNu1Pbuu3PggPlQVpWtsYm0+7E5CdUusC5pHiudvYODIVmID7fS//CwVD33a6kg5wTRNRra+B4DvunUz7jx46MnnSLV2Ygu4WPRnubdu4Zmc1pr03R34rl2Lq6ne6liXTFEUXAsbiW7ZSaz5aM4VDAFcVTVEjxwg2t9udZRJJwVDIYS4MFIwFGIWUh1OgqvWE1y1Hj0WJXJoH+H9u4k1HyHd0ctoRy+jv3oNNeDDvXguriXzcC9umpEzcvRIlMT+Y8T3HSG+8yBGJDbxnL2gCP+yVfiXrsRZWm5hyouXGuhj4PUXKb/vUYI94wUZC4uFAF07XsJIJwn4qykrlfXjckVb+yb6+veCojLnhs9id0/t//OuD1/GSCZxVtbgX7ZqSvf1UZEjB9CjEbSgH/ey+dO2XyGEEEJcGlPXafn7vyYzNjLxmKeomsK5qylsXDnlxywzlaKq1F75IIee/b+E93xIaO0VuOvmWB3LconONpLdHWCz4bt6Zg0ui2z+kMhbW0GBhX96J66y/JlVGlxcRfltS+l5cS+jv3wN1x//ltWRLotr0XjB8MQxq6OckbOqBoDoQJvFSSbfREtSZWYNBhBCiMkmBUMhZjnN4z1VPIzHiBzaT+TgHmLNRzHGIkS37CK6ZRcA9poK3EuacM6txVFXhVYUmra1xyaLmdFJNreT2HuE+L4jpFo64SMtwzSvD//SlfiXrsJVXZt33x9AorOdzh/8K3osyojuIXjlQ1ZHItJ7goEjWwFomnsnihyk54Tevj0cb34ZgJoN9+Ira5jS/cWGuhg4/D4AJbfdO60jt0+2I/VeuQpFk1GlQgghRK7JhMeIHj1IcNV6ILu0gruhkcTRoxQ2rqZo7mrchRUWp5wZvMU1FDWtZfDIVmItx6VgCIxuy84u9K5diub3Wpxm8ugjYUaefAaAus9spHBNvbWBLkHdpzfQ++p+EgeOkTjUjGtB/v6+nlzHMNHZhpFMoDpzq3uAq6oWgORoP3oqjuZwW5xo8kzMMJQ1DIUQ4pykYCiEmKC5PQRXriW4ci1mJkO8vYXYscNEjx8m2dVBur2bdHv3xPaqz4OjrgpHXSWO+uytraQwZ9q3mBmddHcfqbYuUm3dpNu6SbZ0YMaTp23nKC3HO3cBnqYFeOob87qYED1+hK4ffxczlcRTXEPlqtusjoSRSdP6zs8Ak/LyVQSDdVZHEuOMpgrsLQEKGlZQuuiqKd+fnoxjCxbgqqrBUz99J/rpsRGixw4B0o5UCCGEyCVmJkPk8H7Gdm7LvlcbBq7KGpzllfhbTdxL70Nb5cqZ84uZpHLlLfjvuBlHYZHVUSynx2OE9+0EwHfDBovTTK6hJ59DjybxzSuj7rH8/N5cZQEqbl9K13O7Gfnlq5T9yW/n5cBeAFtxAbaSQjL9Q8Ram/HNW2R1pNPYvD5soUIyI0NEBzoIVOZe29RLdWqGYf5e7xFCiOkgBUMhxBkpNhuehrl4GuZSfPOdZKIRYsePEDtxlGRXB8m+boxIjMT+oyT2Hz31dQ479qoy7NVlOKrLsVeVY68uQwv6J/2g3jRNjFgcfWgMfXiUzNBo9nZgmHRHD6nOXsjoH/s61ePF2zgPz9z5eBrnYQ+EJjWXVcL7dtHzix9h6jr+yiYab/w8msP6EYvJsQEyqTgOh5+mxjutjiPGjTY68VDNwnu/js01Te1qN8ylfvUfY6ZS5992Eo3t3AamiXNePfbykmndtxBCCCE+LtnXw+iODxjbvR0jFp143Ftah6stiS+Z7QBic3qsijjjOXwFFIUhXGh1EuuN7dqOmc5grynHObfW6jiTJr7nMLGte0BVmPf1m1G0/C28135qPd0v7SN5+ASJg8dxL5prdaRL5lrYSKR/iHjzsZwrGEJ2HcPIyBCx/rYZVTB0F1bSeOPn8ffn7/8DIYSYDlIwFEJcEJvXR2DZKgLja44ZmQypvm4SXR0kuzpIdHeQ6u3GTKVJneggdaKD6Ee+XnG70IJ+tKAPLeDL3g/4UIM+VPd4UWu8oKioCqCAAkY8iRGOooejGOHI+G32c314DDOVPmdu1enCWV6Js6Lq1G1Z5YwbpTyydTN9zz8NpkmofhkN1z2GquXGn3h3YQWLH/xj7Ae6sNtnTkuTfJVMhkkkR4DsSbbdM71rmKh2B9gd07Y/0zAY+zDbDtd3zdpp268QQgghzizWfJSO731r4nO7J0DR3DUUNa3BFSqzMNnslYmE0by+vJ21dTlM05xoR+q/fsOM+RkYyRSD3/8lANUPrMLflN//t5wlfirvXEbnr3Yy+stXcS1szNt/K9eiuUQ2bSN24uj5N7ZA4VXXE1p/NcWZSqujTCq720+ofilBPXn+jYUQYhbLjavJQoi8o9psuCprcFXWTDxm6jrp4UGSvd0ke7tJ9fWQ7O0mPTSAGU+QiSfI9PRPfhaPF3sgiC0QwjZ+6ywrx1leiS1UmLcnEhdKj0UZfPNlME2KF2ykduMDOVcQLerQIFBz/g3FlNL1FHv2/TuRWC+NxZ8nWLNwWvbbtfMV9EofwZqN0/67GT9xjPTwIIrLiWft0mndtxBCCCEg0dVOJhzGNz87k8ZdNwdbIISvoIbieesIVM+XNaUsYpom3T/7AeEDe6j7yh/iLJt9a0TGW5tJDfShOB14N66wOs6kGf3lq+iDIzhL/dR/7gqr40yKmkfX0f3CXpJHW0nsP4p7yTyrI10S18Ls0gzJni70WBTNk1trZp5cx1BrNS1OIoQQwgpSMBRCTBpF03AUl+IoLsW/ePnE40Y6RXpkGD0SRo+EyUTD6OHx20gEI5nIbmiamOO32c8NVIcTzetD83iztx+5bwsEsfkD2RlLs5jm8VL12d8ms/Ug5ctvzJkCaWJsgMRIL8Hq6SlKiXMzDJ19B35CONyJzeXFGZye1pyxgQ66d74CH5o4SsrwNExv+6DhD94FwHvFSlTn7P5bIYQQQkwXI5UkvHcnI9veI9nVgS1YgLdpAYF2BVBZev+foNrsVsec9RRFwRwIg2GQ7O6clQXDsQ8/AMC7fvmpzjd5Ltncztgr2WPgpj+4Cc09M46BncU+Ku5aRufTHzLyy9dwLW7KmXPfi6EF/dgrS0l39RFrOY5/0TKrI51RuE7BP4OKhqnIMJHeE+hDTgoL87elrRBCTDUpGAohppxqd+AsKYOS/G6DkkvMTIZkXw+uymoASlJVsKLK4lSn69v3Nv0H36OyYi2h+fdbHWdWM02To8d+zeDgIRTNRuNNX8QVKJ76/Ro6rZufAtPEv2TFtBcL08ODRA/vByBw08wYWS2EEELksmRvFyPbthDevWNiUKCiafiL6vEci8P4moRSLMwd7lAZkZ7jJPt6rI4y7fREnPCB3cDMaV1vZjIMfucXYJiU3rCAovVzrI40qWofXUf383tIHW8jsfcI7mXzrY50SVwLG0l39RE/cSwnC4aRQ/uJNR9BLVmJt7TO6jiTItrfxom3fkQoWC8FQyGEOAcpGAohRJ4xUim6fvo94i3NVH/uy5Sa9VZH+hg9lWDw2A4ASktz7wRotjnR8hqdXR8ACg3XPYavrH5a9tt3YDOxgQ5Ul5uS2++bln1+1MgHm8E0cS2Zh72ydNr3L4QQQswmg2+/yuDrL0587gwUU7xgA8VNa7G5fBYmE+fiKsgO6kzNwoJheO9OzFQae2UpjsaZsXzC6Atvk+7owRZw0fi711sdZ9I5Cr1U3r2cjp/vYORXr+FaOi8vZxk6F8wh/PoWYieOWR3ljMJ7PyS8dyee1b4ZUzA8aebMmRRCiKmRW4tcCSGEOCc9HqPj+/9M7OghwMTZnrA60hkNHtuBkU7i8ZRQEJpZo1rzzYmW12lpfROAmg33UlA/PQXcVGSYzp3Zi4bFt9yFzR+Ylv2eZCSTjOx8H4DAzTK7UAghhJhsyf5e0sODE5975swDVSVUv4ym277M4of+I+VLr5diYY5zF5QDkOqffQXD0fF2pL6r1+Rl0ek3pbv6GHvuDQDm/t4NOEIeixNNjZpPrEV12kg1txPffdjqOJfEtSB7jpzq6yETjVic5uOcldkCemygw+Ikk+nk/3EpGQohxLnIDEMhhMgTmfAYHf/+L6R6u1Fdbppu+hK+sgarY32MaZr0H3wPgKrK9TPi5DtfmabBiDoEQPW6uyldfPU07dekbcvTmKkUrtoGgqvWT8t+P2ps93bMeAJbWTGupfOmff9CCCHETGSk00QO7GF0+xbirc0E12yg7J5H8Lea+MwaCh79c+xuv9UxxUVwhbIFw/TwEEYqiepwWpxoeiR7u0h2toOm4r1yldVxLptpGAx+9xeYaZ3CdQ2U3rDA6khTxlHgpfLeFXT8bDujz7yGe/n8vDvn1Pxe7NXlpDt6iLccx794udWRTnNy6ZMZVTDMr18RIYSwjBQMhRAiDyR7u+j80RNkRoaxuf003fbbeAorrY51RpGeZhIjPag2BxXl+X/ync/G5rppmPNJChtXEapdNG37TQz3MNp+EDSNsnseRlGnt6GBaRiMvP8OAP6bNk77/oUQQoiZJtnfy+j29xnbtQ0jHss+qKpow2n8rdnZGoqiSLEwD9ndPmwuH5lEhFR/H66qmdGa83xGP9wKgGfFQrRA/s+Cjby1leTRVjS3naY/uCnvCmgXq+aRtXQ9u5vUiQ7iuw7iWTl95zqTxbVwDumOHmInjuVcwdBZUQVAKjpMJhGZWTPFZYKhEEKckxQMhRAixyX7emj7t3/ETCVxBoppuvVxnIFiq2OdVf/BzQCUl6zAZnNZnGZ2Ghg8jG3NEhRAUbVpLRYCuAsrqP3y10l2d+AsLZ/WfQPEmo+SGuhDcTnxXbV62vcvhBBCzCTdP/t3wvt2TXxu94Yonr+e4nnrcXiD1gUTkyZYs4CkLQnqzC4ynWRkMoztzq637r16rcVpLp8RSzDyy1cBaPjiVbjKpncpACs4Qh6q7l1B+0+3Mfqr13GvWJh3RVLXgkbCr75HPAfXMdRcbuxFJaQH+4kOdBCsngkzVqUlqRBCXAgpGAohRI5zFJfimTMXdTTJnBs/h82Zu2tRmIZOMjIMQHXV9LehFNDW9g7Hml+kML6G+mseteTEOVyn4KJ6opXNdDs5u9B39WpUtxSthRBCiIuR7O3CUVyGomkA2ItKQFUJVi+keP4GgtULZPb+DFN/zScJ1+VXseVyRA/tw4hF0UIB3EubrI5z2UaffwsjHMVTW0jF3bk1U20q1Tyyhs5ndpJq7SR55ASu+XOsjnRRnPPrAUj195KJhLH5cmuGtquymvRgP7EZUjCcPX/hhBDi8kjBUAghcpBpnmrtpKgqTeseQ9VsKKpmcbJzU1SNBXf/PrY9rfh8FVbHmXXa2zdzrPlFAFyB4mkvFoa7jpGc48WJde1yUwN9RI8cAEXBf+MVluUQQggh8omRShHet4vR7VtIdLRS+ckv4lu4BH+ribv6Kqoe2SizCcWMcbIdqfeq1ROF8XyVGRwh/Ep2sFzD49eg2vL7+7kY9qCHshsW0v3CXsKvv593BUPN58VeU066fXwdwyUrrI50GmdFNeG9O0mODVgdZVJ4iqupv/ZTBIcdVkcRQoicJgVDIYTIQUObXiczNkLpnQ8QaFfA7rQ60gVTFEWKhdPMNE1a296m+cQrAFSsvIWKlTdPa4Z0PMzxTT9AfyVO9Wd+G88ca0ZrD737JgDuZfOxl+du614hhBAiFyR7uxndvoWx3dsxEonsg6qKcrQXv2cxwMxau0qck2kYM372aGZslNjxwwAzonX98FMvYaZ1gstrKNqQXwWzyVB5zwq6X9hLfMc+9JEwWii3Zumdj2teQ7Zg2NqccwXD4Mq1BJavpmAov36mZ+PwFVA0dzXB40mrowghRE6TgqEQQuSYsV3bGHz9BQCKg/OhbonFiS6caZp5t3ZEvjNNg6PHXqCj8z0AKlbcTMXKW6Y5g0nru0+hRyM4yipw1TZM6/5PSo8OM7Z7OwCBu663JIMQQgiRD/REgs4f/CuJ9paJxxz+Qkrmb6Bo3jrs7plxgVhcmLGuIxz9zr/iKC2n/vf+yOo4U2ps9w4wTZxNdXk/uCx5vI3Y+7tAgcbfuXZWnof55pbiX1hB+GA3kU3bCN5zg9WRLopzfgPh17cQb222OsrHaN7sYJGwH/ytsu6fEELMFlIwFEKIHBI9epCeX/0UgLKl1xHKo2JhOh5m/8//f3iKqlnd9DnUHG+fOlMcPvIMXd3bAKjZcB+li6+e9gyDRz5gtG0/iqZR8eBjqDZrDi+GN78Fuo5zwRxcTXWWZBBCCCFykWmaZEZHsIcKANBcLkw9A6pKqHYxJfM34q9qQlFm9uwycWaKooFpgq5bHWVKmabJ2K7scbP3yvyeXWiaJsM/fh6A8lsW428qsziRdSrvXs7hg92E395K4K7r8mqWrGtedqBlsrcbPR5Hc7stTjRzpeMRon0t6MMKhQVzrY4jhBA5SwqGQgiRI0Z3bqX3mZ+BYVAwZwVVa++0OtJFiQ92oacS6CMjUiycRp6ly1H6dlF31cMUzZ3+Cx/JsQHatj4DQNGNd+Ast2b9wkwkzOiH7wMQlNmFQgghBAB6LMrYng8Z+/ADUoP9zPmjv0BzufG3msxZ+zB2TwC7J2B1TGExRcteGjJneMEw2d1Bqr8XxW7Du26Z1XEuS2zbXpLHWlFdNuq/cJXVcSxVet18jn/rLTKDI8R3H8KzcpHVkS6YFvJjKysi0ztIvP0Evnm5lX1s707Cu3dQXLqE4vnrrY5zWRLDPRx/7bt4PaWsX/c1q+MIIUTOkoKhEEJYzDRNht56hcE3XwagYM5K6q95NO9GeMcGOwFk/cJpNNroJMhCln7iP1vSOsw0dE68/SRmKoW7vpGCK66d9gwnjWzZhJlK42ioxrVYRowKIYSYvUzDINZ8lLGdW4kc3IuZyQCgaBrqh634q+YD4CmutjKmyCEnB/vN9ILh2K5s63r3qsWoHpfFaS6dmUoz/LMXAaj5xDqcxbN7nVHVYaP8tsV0PLWD8Jsf5FXBEMA5ryFbMGxpzrmCYXqwn+iRAzh1d94XDBmfeWqahsVBhBAit0nBUAghLJYe7GfondcBKF9+I5Wrb8u7YiFAbOhkwdCaGWazRSIxwoFDP6fq5k/gwglg2TpDg8d2EO1rRXU6KX/gk5a1/9HjcYa3vwtkZxfOxvVbhBBCCIDYiWP0/OJHZMZGJx5zF1ZSPG8dhXNXY3N6LEwncpUyUTDMWJxk6pi6TnjPhwD4rlxlcZrLM/bqZvSBYRzFPmoeXmN1nJxQcedyOp7aQWLvYdL9Q9hLCq2OdMFc8+qJvrM9J9cxdFZUAacGB+ezk9dYpGAohBDnJgVDIYSwmKO4lPIHH8PeEaVkwUar41yy+GAXAH6ZYThlRsfa2bfvRyRTY2Te+Snz7vhdS4tjjhvXUuyOYfMHsIesOykf2fouZjyJvaoM98qFluUQQgghppsei6LHojiKSwGwFxWTCY+hOdwUNq6kqGkdnuJqGUwjzmk2tCSNHj2EHouiBnx53Y1CH4sQfv4NAOZ86Wo0l93iRLnBU11Aweo6hne0EnnzAwoeud3qSBfMOT+7jmGiqx0jnUK1OyxOdMrJgmFitBcjk0K15U62i6XIDEMhhLggUjAUQggLpEdHMBIxnGXZ2XiVvmWwwOJQl0FPJ0mM9gPg90vBcCp0dm3jyLFnMQ0dV7CUhms/ZfnFP0VVKbzK2vUCjVSSkS2bAAjceZ1lsxyFEEKI6WKk00SPHGBs9w6iRw/iqW+k+nO/A0DhcBD77V/BW1qHqsnpvrgwyixoSTq2O9uO1LtxBYqWv+utj/zyVfRYCt+8MkpvlIFyH1V59/JswfCd7YTuvxnFnh9/A20lhWihAPrIGImONjwNuVPQtvmDaF4fejRCfKgbb2md1ZEumcwwFEKIC5Mf755CCDGDJHs66fzhtzFNk0V3/D4OX4HVkS5bfLgHMHE4/Dgc1rTHnKkMI8ORo8/R1b0NgFDdEuqv+SSaw5p1V0zTZPDIVuzXrUQdb4lqpdHt76PHothKCvGuX2Z1HCGEEGJKmIZBvLWZsd07iBzYjZFInHpuJIq3OT1RIPRXNFoVU+Qpze7A0zgfxT4zZ6vp8RiRw/uA/G5HmursJfL2VgAaf+c6FFVmDn9U0cZGHMU+UgMRotv24rtipdWRLoiiKDjn1RPbuod4a3NOFQwVRcFZUU3s2CFig535XTA8OTBCCoZCCHFOUjAUQohpFDtxjK4nv4ORTOAKlVkdZ9LoqTi+sjkUOWusjjKjpNMx9uz7AaOjrYBC5ZrbKV92vaVrXA4c/oC2zU/hOPoOdV/+OorNukMJI5Vi6N1sS6bAndfm9WhxIYQQ4ly6f/5DIvt2TXxu94ayLUcbV+MulO4O4vLYXD6qP/dlq2NMmfD+3ZDRsVeX46jN3/XWR3/1GhgmxVfNJbSs2uo4OUfRVCruWErrv28h8tYHeVMwBHDNa5goGOYaV0XVRMEwr413ojHMmTuTWgghJoMUDIUQYppEDu6l+6kfYGYy+Mrn0HjTF7E53VbHmhTB6gXZj+NJq6PMKJrmIONUUO0u5tzwGYLV1vatjQ100P7BLwEILF1labEQsmsX6pEwWnEBvqtWW5pFCCGEmCypgT7Ce3cSXLMRmz8AgLdxHvEjhyhoWEFh4yp85Q2WDiASIp+E93wIgDePCki/KdXRQ2zbXgDqP3elxWlyV8UdS2n94fskj7SQ6uzFUZUfg3Sd87Iz9xIdrZiGkVPLLDgrqlAc+bt24Ul2d4DaKx7EO5Q7P1shhMhFUjAUQohpMLrjfXqffQpMk1DdEhqu+zSqbWa2/BGXzzQNxua6ASeN1Z9HT8Ysn5GaScY4/sb3MTMZvPMXU2Dx2oV6IsHQO9nZhaF7b7S8eCmEEEJcjvTwEOF9uwjv20myOzuLQ3W7KdhwDf5WE29oFZWfXCXHj2JKmKaBaaqWr489FdKjw8RbjgPgXb/c4jSXbvSZ1wEouWYe3oZii9PkLmexn6INcxh87ziRt7ZS+NjdVke6IPbqchS3EyOeJNnbjauiyupIE3wLlzJ30TIC7fn998HmdFOy8AoZ5CyEEOchV9eEEGKKje3ZQe8zPwOgaN466q58aKJ/vhAfpespjh57gXSBg9q59wNgd/uxu61dF9I0DVo2/ZhUeAhbqJDyBz5p+ajXkS1vY8Rj2MpL8nq0uBBCiNlLj8cY2foekQN7SHZ3nHpCVQlUziOol+BvNbMPSaFQTKGxziMc+94TuGsbqPni71kdZ1KF9+4EwDm/AVtRyNowl+ijswvrPrPR4jS5r+Ku5Qy+d5zo5h2EHr4N1ZH7fz8VVcXZWEti31ESbSdyqmB4ctmHcB0T70lCCCFmLikYCiHEFPPOW4yzooqC0gVUrr59Ro7czSQi7H/6f2MkE1x79X+VFlmXIBzuZP+BnxKLD0C3QunCK3GFSq2OBUDv3rcYbTuAomlUPvo5NLfH0jx6LMrQ+28BEHrgZlm7UAghRF4wTRMjHkPzeLMPKAqDb70Mug6Kgq98DoVzVlJQvxSby2dtWDGr6Kk4GIbVMabERDvSjSusDXIZZHbhxSlcXYezLECyd4zYtj34rsyPpQucTXUk9h0l3naC0PqrrI5zRqZp5u31DNPQCfccJzOYoLCwSa5ZCCHEWUjBUAghpoCZyYCqoqgqmsvFolu+imrL/77/Z6PaXWTiYQAymSR2+8xYm3E6mKZBW/u7NLe8imno2D0B6q/9VM4UC/V0kp5D7wBQcucDuCprLE4EQ+++iRlPYq+pwLNmidVxhBBCiLMy0mniLceIHD5A9MgBNI+Put/5OgCay03FshtxeIMEaxdb3lFAzF56Mg5k2+DOJMm+HpI9XaBpeNYstTrOJZHZhRdP0VQq7lhKy3c3E3l7Wx4VDOsBiLe1WJrjTEa2b2H4vbcpqlpG1ZrbrY5zSQw9w9EX/wWAa6/+CzRt5l6fEUKIyyEFQyGEmGTp0RG6f/o9vPOXUHTtTdm2HTO4WAigajZUmwMjkyKTiUvB8AIlEqMcOPQUIyPNAITqllJ31cPYXF6Lk52i2Z3UfvlrhHftILh6g9VxyITHGNmaLWCGHrjZ8taoQgghxG/KhMeIHjlA5MgBYsePYKZSE8/p0Qjuw5GJ93r/qlutiinEBD2VLRhqrpl1DH9ydqF72Tw0n7UdMi6VzC68NOW3LqHle5tJHmkhMzCMrbjA6kjn5ZxTA6pKZnSY9OgI9mDI6kinGAbpgT5iro7zb5ujVO3UJXDD0JEmNUIIcWZSMBRCiEkUaz5K91M/QI9GSA0NUl1xBThn1on32WgON0YmRTodw+0utDpOzjMMnR37v00yPIhqc1Cz4T6K5q3LuRYv4ToFOyEKr7nR6igADL3zOmYqjWNODe4VC62OI4QQQmBkMiiaNvEe3v/Kc4R375h43u4JEKxZRLB2MYHKuTO664TIT5nxgqE6gwqGpmkyNtGOND/Xu5bZhZfOWewjtLyGkV3tRD/YTfDO66yOdF6qy4mjpoJUayeJthPYl+bO762zvBKA+FCXxUkuw0dakJqmbmEQIYTIbVIwFEKISWCaJsOb32Tg1efBNHEXVtJ44+ewzZJiIYDN6SEdGyWTiVsdJS+EmzxU2e6kZ8+bNFz3GK5gidWRJpimSfv7v8S2pBE/K6yOMyE9MszI9vcACD10a84VV4UQQswOpmmSHugjevwwsaOHibUcp/bx/4CzvAoA79z56J19BGsXEapZhLuoSt6zRE7TUwlgZs0wTLS3kBkZQnE5cC9fYHWcSyKzCy9P6fULsgXD9/OjYAjZdQxTrZ3E207gz6WCYVkFKArp2BjpeAS7O//W2VUUBUXVMA0dw5CCoRBCnI0UDIUQ4jKZmQy9z/6MsV3bASicu4a6Kx+cdaPHNWe2zU88MWxxktxkGBlaWt9CbayhoGEZAAUNywnVLc25tpp9+zbRf2AzHNqCs7IGR2GR1ZEAGHzrZcjoOBfMwbWw0eo4QgghZpFMJEz08H5iJ44RO3EMPTx22vP6jmP4l2RnYPiCq6i6Nz/WzBICQE/GgJk1w/Dk7ELP6iWozvw7L0u1y+zCy1V8VRNH/+F10u3dpLv6sFfmxhrx5+JsqiP82ns5t46h6nRhLygiPTRAfKgLe9U8qyNdkpMFQ5lhKIQQZycFQyGEuAymadL5oyeIHT8MqkrN+nspWXjlrBxFHqiaR6TnOB2d71NZsXZW/gzOZnS0jUOHnyYa68PW6yNQNQ/N4QLIuWLhSNsBOrY9B0DJLXfnTLEw2dPF2M5tABQ8dJv8fgkhhJgypmmSHhpAUTXsBdk266m+Hnqf+dnENorNhq+0gUDVfAJV83EXVpx6Tt6jRJ5xF1SQMMI4inKn48XlMHWdyP7dAHg3rLA2zCUafeY1QGYXXg570E3B6jqGtp4gunUPoftusjrSeTnn1gGQ7O3CSCVRHU6LE53iLK/IFgyHewjkccEQsoN5hRBCnJkUDIUQ4jIoioJv8TLi7S00XvcZgjWzd021koVXMNy8i8IFGzBNA0WRVcQzmSQnWl6jveM9wMTm8lGz8X5Ue+6c+H1UfKib5rd/CKZJcPUGQhuvsTrShP6XnwPTxLNuGc65tVbHEUIIMYMYmQzJrnbibS3E20+QaGtBj0YIbbia0jvuB8BVU4+vvBFfeQOBiia8pXWoNrvFyYWYHBUrb8ZXd4vVMSZNrPkoejSC6vfiWpR/XSlSbV3Etu8DBeo+K7MLL0fJdfMZ2nqC2NY9BO+9MecHdNiKQmgFAfThMRJdHXjqc+f311FaAQf2Eh/utjrKJVO07GVwQ2YYCiHEWUnBUAghLpKeSJAeHsBVUQ1ATckGyh9chN0TsDiZtWxODwvv/0MURSEMBI8nrY5kGcPQ6ereyomWN0ino0C2VW3N+nuwubwWpzuzdDzMsVe/g5lK4q5vpPTOB3LmhDp69FB2Fq+mEXroVqvjCCGEmCGMVIqO732LZE8nZub02QaKpqENJfG3muOP2Aje+bvTH1IIcdHCe3cC4Fm7FEXLv0GMIyfXLrx2Pt56mV14OYqvmMsRu0a6q490Zy+O6nKrI52Xs7GW2PZ9JNpbcqpg6KqowllehcMbsjrKJatcdSumnsGp+q2OIoQQOUsKhkIIcREiB/fS9/zTANR99T8S6s3OFJvtxcKTPlpgSqXCaJoLTZt9o++j0R6OHM229XQGiqnZeD/B6gUWpzo7Q89w/PXvkYoMYS8spvLRz6PYcuMQwdR1+l96BgD/TRuxl+ZGi1QhhBC5z0glSfb1kOrrIdndSaKrA5s/QOWjnwdAdTjIjI1gZjLYXD68pXX4yhrwldXjKaqWGYRiVjANnXANKDPk8pCRThM5mF37Lx/bkabau4nv2J+dXShrF142m89J4Zp6BrccJ7Z1T14VDOMdrVZHOY1v4VJ8C5d+ZCBN/ilZkP0/5ZjFg5uFEOJ8ZsYRoRBCTLH06Ah9LzxN9OA+AJz+IpyHhqEg9084rDDWeZjdHz5JedFS5jXdbXWcaRGPD+F2FzLa6ATmUBK/ElewjJIFGybWSshViqLimFtPfLSHqse+hObJnVmQo9u3kOrvRfV5CN5zg9VxhBBC5CAjk0H9yECXnl/+mHhLM+nhwY9tq3l9+FqMiUFOc656DLsngDNQnDMz64WYTpGeExz93j/jrm2g5ktftTrOZYsePYiRTKAVBvOyjf3YC5uA8bUL62Sg3GQouW4+g1uOE926h+D9N+f833rH+O9tor0V0zRzLm+4TsnroqEQQohzk4KhEEKcg6nrjGzbzODrL2Ikk6CqlC+9nooVN8uo83MwDYNMIkJH5xYKC+ZSXDwz13Y0TZPR0VZa295maOQYix/6E5xkZ53WbnzA4nQXLtKgUdJwDwVXXIfNnzuzZfV4jIG3XgIg9MAtaF6PxYmEEMIa8dZmHCVl2ALB0wpjs4kei5IeGSY9MkR6cIDUUD/pgX5SQwMoqsacP/yziW3Tw0MTxUKb24+7oBx3QQWe4mq8xdWnva6/InfavQlhhWRkCEwzZ7pLXK7wvl0AeNctR1FVa8NcpMzgCLGtuwGoeWStxWlmjqKNjSh2jUzPAOn2bhy1lVZHOidHXRVoGnokTGZkGHtBodWRTmPq+vhAHYfVUS5afKibTDKGO1WAw5E7g2SFECKXzIwjQiGEmAJGKknbv/0Dqd7sot7e0jrqrnwYd2GFxclyX7BmIaWLr6Fv/yb2H/0FG/y/j9OZO4Woy2UYOn39+2jv2Ew43JF9UFGJ9DTj9OfWCd25jHYcgnVzUckWv3OpWAgw+NYrGNEY9qoyfNfKRRMhxOzV9aNvT9zXfH5sgRD2YAh7QSElt9078Vy2eKaief2o9vwY2GSkUujRMJlIGD0SIRMNo4fHMJJJSm67Z2K7rp98j3jL8bO+jvd4amIwV82iW2AhuArKsbt9U/49CJHPUpFhAGyhAouTXD4jmSR6ZD8Ang3LLE5z8cZeeRdTNwgur8E/XzrZTBabx0HR+gYG3j1GdOvenC8Yqg47jtoKUic6iLe35FTBcOC1Fxh+7y0qVtxCxfIbrY5z0VrffYpofyvOJZ+mpHiR1XGEECInScFQCCHOQnU4cZaWkxkbpXrl7RQv2ICi5NcoVStVrb2TcM9x4oOdHDj4M1Ys/2Le//wymSSdXR/Q0bmFZHIUAEWzUdS4mrJl1+MKllic8MINt+yh+Y1/x314DlWffhzVkVsjRFP9vYxsfReAgk/ehaLldltXIYSYSg5/IenYGKaeQY+E0SNhkl3taP7AaQXD3qd/TLztBACKw4Hm8qC63WguN7ZAkIqHPzOxbXjvTjKxCKrdiepwoNjtqHYHiqah2Gy4qk618kuPjmBm0mCamKYJpgmGkb2Piavi1Ky9WEszmdEhjHQaM53GSCYxEnH0RBwzk6bioU9PbNv5oyeIHt5/5m9aUSi+6Y6JWU/2UCFpdx8OXwGuQBHOQAnOQDGuYAnOQMlpnR/8FXMv6+ctxGxysmBoD+ZOUeJSRQ7vx0ylsZUVZWdp5REjGie26QMAah5ZY3Gamafk2vkMvHuM2NY9hB68JefafP4m59xaUic6SLS3EFi2yuo4E1SnEzOTIT7UbXWUS3LynNI0dIuTCCFE7pKCoRBCfES89QTOikpUR7atZMPSe1GWqdhc0q7iYqmajTnXfZqDz/wfhkeaOXL0WZrm3oWq5u9bz1iDgxMfvImRTmJz+ShZdCUlCzZid/utjnZRwt3HOfHWD8E0sRcVo+TgLJT+l58D3cC9YiHuJU1WxxFCCEstuu8PUe1O9GSUVGSEVDT7gWmeto6QllJQVA3T0DFTKTKpFIyNZJ/7jVnkw++/Q6K95Yz7U10u5v7pX0983vvLnxBrPnLGbRWbjaY//9tTr/vO60SPHjzr91J+/ycnLtipzuzxlqLZsLv92Nx+7G4fdpcfuy+EtyWDZs9u61v1CMrq/B54JEQumigYzoAZhuF9OwHwrl+e8wWh3xR+6wP0eBpPfRGF6xqsjjPjFG2Yg+q0kekbJNXaibO++vxfZCFnYy3hV98j0dFmdZTTOEqz3Zbiw3laMBy/FmGYUjAUQoizyd+rtkIIMckih/fT/ZPv4aqpZ8G1v5XtyZ9nhaBc4wqVUnvFA7Rs+gmdXVvp69/PwvkPUlQ0P+dP4pPJML19uxgZbaX2ni+iKAoaULnqNjSHi8I5K/NyHcvESC/H3vwupq7jXbiEsrseyrl/i3hbC9EjB0BVKfjEHVbHEUKInKAoCjaXD5vLh6f4zBc659/5e5imiZ6Kk0nG0JMx9GScTCoGcFpxsaCoibgWwMikMDLp8dsUpqGj2V2nbWtP21Dtzuz7haKedquottO29XurUCt1VJsdVcvOWrQ5PWgON5rDja/VQNWyhT/30ntRlj+Aaned970o37sUCJGrEmMDANgLiixOcnn0eJzo0UMAeNYvtzjNxTHTGcKvbgag5uE1OXdsPhNobgeF6+cwsOkIse37cr5g6JhTA0CypxMzk8mZNUadpWUAJEf7MQ0dRc2vLjDq+IAlw8hYnEQIIXJXbrzjCCGExcJ7d9L99JOg6zjxgFyUmjRFTWvRnB46tz1PYqSXPfv+HZ+vkrlzbqWwMLdmjul6moHBg/T07GRw+CiYBgBFfa34yuoBKFtyjYUJL086HuboK9/GiMdxVddS8eCnc7LV5+AbLwHgvXIV9or8afMqhBC5QFEUbE4PNqfnnNtVrr7tgl9z7i1fuuBtq1bffsHb2lyyvqAQVtJTCdLREQAc44WAfBU5tBd0HXtVGY6q/Ppeolt2oo+EcRT7KL1hodVxZqySq5uyBcNt+wg9eGtOF2ZtJYWoXjdGNE6yrxtXZY3VkQCwBQtQ7HbMdJpkeCivluSAUzMMpSWpEEKcnRQMhRCzmh6N0PfCLwnvzbavKWhYTsN1j+XdSLlcF6pdjK+0jp69b9F/YDORSBfDwSi5slLK6Fg7ra1vMTx8HN1ITTzuLa2jaO4aXKH8uuhwJkYmxbFXv0MqPIS9oIjKT30p59YtBIi1HM+2vdM0QvfcYHUcIYQQQogZy9DTBFauJRMOo7nPPcgg14X37gLAs36ZtUEukmkYjL30DgDVD6xCtct56FQpXD8Hxa6R6R0g3dGLo6bc6khnpSgKjvpqEvuPkuhsz5mCoaKqOIpKSfZ0khjpzcOC4fgMQ2lJKoQQZyUFQyHErBU+sIe+536OHo2AolC29DqqVt8uxcIpYnP5qF57F+VLr6P/8AcUzV3D6PjPOvn+DpKJUUKhBny+8iltO2aaBuFwJzabG4+nmNFGJ+FuhYEPs+stObwFFM5dTVHTmrw7ATqXxOgAiUg/qttD1Wcex+bLvXa7pmky+PqLAPiuXYutJFdKykIIIYQQM4/d7af8/k9aHeOy6dHIxDqr3nX51Y40vvsQ6a4+NI+Dijvzq9iZb2weB4Vr6hnccpzY9r05XTAEcDScKhiy1uo0pzhKThYM+6DO6jQXR5GWpEIIcV5SMBRCzEqmrjP45svo0QiuUDn113wCb0mt1bFmBZvLR8XyGyc+Nw2dI60vkYoMZZ+3uQgG6wkF6wmFGvD7KlEvsYibSkWIRHuJRnqIRLMf0WgfhpGmZNGV1C59AABfWT2Va+4gWDUfd1FVTrenuVT6qipqa34fPR7HUVxqdZwzijUfJd7aDDYbwbuvtzqOEEIIIYTIA+GDe8EwcNRVYi8vtjrORRl7cRMAlXcvx+Z1Wpxm5iu+uilbMNyxj9D9N1sd55ycDdl1FhOdbRYnOZ27YS6mYeDMw8G1BfXLcIXKCOly7UcIIc5GCoZCiFnDNE0wTRRVRdE0yu//JKkte6hYeTOqJn8OrWIaBqWLr2Ks8wiR3hNk0gkGBw8xOHgIgIJQIytXnFo76fCRZ1AUFbvdg6Y50fUUmUyCTCaO11NKbe3VAGQyCd5976/PuE/V7jptFqOiaqcVMWcK0zBIjPaRWVEBgKMkd1urfnR2of/69dgKghYnEkIIIYSY2VKRYcxMAMWW3+dCE+1I1+XXDL3ksTaSR1pQbCpV96+yOs6sULSxEcWmku7oJd3dn9PrpTvGC4ap/l6MVCpnlpMIrdlIaM1G/K2m1VEuWqhuCaG6JQSPJ62OIoQQOSu/jwqFEOICGKkk4X27Gd3+Ht55iyi67hb8rSZ+qmBNldXxZj3VZqdsybWULbkW09CJDXUR6W4m3HOcSO8JzKCH0cbsaFvTNOnatP2si5T7K5sINt40/pkTx64CFFXDXVCBu7Bi4tbpL0JRp67taS4wDYOWTT9muH0f1QW/jbtujtWRzil6eD+JjlYUh53gnddZHUcIIYQQYsY7/MK3SD01TM2X/gPumjzrLTguEwkTbzkG5F/BcOzFtwEou3EhzmKfxWlmB7vfRWhlLcPbWoht35fTXU20ggBa0I8+GibZ04m7tsHqSEIIIWYBKRgKIWasZE8XI9u3EN69AyOZyD7W10N1xRXg8lqcTpyJomp4i2vwFtdQtvRaTNMgk4id2sA0qVxzO3oyTiYZQ0/F0WxONKcbzenBFTh9hOjih/5kVs4eNQ2dlk0/Zuj4TlBVMtGI1ZHOyUil6HvhVwD4b7kSLZR76ysKIYQQQswkRiadXRLANLEXFlkd55JF9u8G08QxpwZ7Hq1/ne7pJ/bhfgCqH8mhBepmgZKrm7IFw50HcrpgqCgKjvoq4rsPkehqz6mCoWkYDAVHCQ16UW12q+NcsHRsjHRsDGfCjssVsjqOEELkpNl3FVUIMeNFDu1jaNPrJDpaJx5z+Isomb+BonlrsUmxMG8oiordfWq0raKqlC+98JO62VksNDjx9o8Zbs4WCys/8Tl8C5daHeuchja9RmZkCK0wSPDuG6yOI4QQQggx4yVG+8A0UT1ebN78nd0W3rsTAO/6PJtd+NK7YELRxjl46/K3YJuPCtdlO6+kTrSjj0XQArn7+++YU50tGHa2Wx3lNG3//H9I9nTSdNuXCVTNszrOBes/+B7du16lumoD85rusTqOEELkpNl3JVUIMePFmo9mi4WqSqh2CSULNuKvnHvamnVCzESmadL23i+yxUJNo/KRz+FbuMTqWOeUGRtleMtbABQ+djeqMzfW5hBCCCGEmMniQ90AOHN4jevzSY+OEG87AYBnbf4UDPVwlOjm7YDMLrSCs9iHr7GEyPF+4vuO4rtipdWRzspZn13HMJljBUNbqIBkTyeJkd68KhgqqgaAcZYlToQQQkjBUAiR5zLhMUY+eBdP4zw8DXMBKLz2ZtwJFyWLrsTultaGYvbo2vEiA4ffB0Wh4qFP53yxEGDondcx0xmcTXW4Vy22Oo4QQgghxKwQHWgDwFlZY3GSSxfZvxsA57x6bIVBi9NcuMjb2zDTOr55ZQSXVFkdZ1YqWNtA5Hg/ib1Hcrpg6KjL/n6kBvsxUklUh9PiRFmOohKiQGJswOooF2WiYGhKwVAIIc5GCoZCiLyU6O5g+L1NhPftBF0n2d1Jmdo4/qyXgtW3WZpPiOlmGgbhZC8ApXc/hH/xcosTnV96ZJiRHVsACN5/M4qiWJxICCGEEGJ2iPVnZyy5qvK3YBjel21H6lmXP7MLTV0n/Eb2+LfqvpVy/GuRwjX1tP9kK/H9RzENA0XNzW5EWsiPFvSjj4ZJ9nTjrq23OhIAjuISAJJ5WjA0DcPiJEIIkbukYCiEyCupoQEGXn1+YjQpgLesnrLadRamEsJ6kQaNiprPEj28Py+KhZBdu5CMjnPBHNyL5lodRwghhBBiVjD0DLHBTiB/C4bp4SESHW2gKHjX5PZ63R8V33UQfWgUe9BN6XXzrY4zawUWV6K57ehjEVJt3Tjrc3emp6OukviewyR7OnOmYGgvyhYME6P9Fie5OCcLw6bMMBRCiLOSgqEQIm8Mvv0ag2+9DLoOikJBw3LKllyLt6TW6mhCWMI0DYZP7MF23QoUQLXZ8qZYmB4eZHTnBwCE7r/Z4jRCCCGEELOHaegU3Xg7yb5u7IXFVse5JOF9uwBwLmhAC+XPMhRjr70HQPkdS1EdcknOKqpdI7SihsEtzST2HcnpgqF9vGCY6OqwOsoEx3jBMBUZwtAzqFp+/C5PzDCUgqEQQpxVfvxFF0IIwObzga4TqJpP1bq78BRWWh1JCMuYhkHb5p8zcOQDQok2Sm+/1+pIF2Xw7VdBN3AtbsI1v8HqOEIIIYQQs4Zmd1J49Q1Wx7gsJwuG3nX5MVgOINXZS/JgM6gKlXflT+6ZqmBNPYNbmonvPULwruutjnNWjtrsdY9kd6fFSU7RfH4UhxMzlSQZHsQdKrM60gVRtPE1DA0pGAohxNlIwVAIkZNMXSe8fxeqw4lvwRIAqgrXEryjCH+FtC4Us5tp6LRs+ilDx3eAouCqyK/ieWqwn7Fd2wGZXSiEEEIIIS5OarCfZHcHqCqeNUusjnPBwuOzC4uvmIurLGBxGlG4ph6A1LFWjHgS1e20NtBZOMZnP6b6ujEzGRSb9ZdyFUUhtGYjqAqqZrc6zgXzFFZRvvwmCpMFVkcRQoicZf27jBBCfER6ZIjR7e8z+uEH6JEwtmABZfZ5qDY7qKoUC8WsZxo6J976EcMndoOqUvHgY/iXrrQ61kUZfOtVMAzcy+bjnCsthYUQQgghptNI2wF0fzn2gkIURbE6zkUL78uuZ+9a1Ijm91qc5sIY0TixLTsAqLxvhbVhBADuqgJclSESXSMkDh3Hs3KR1ZHOyFZcgOpxYcQSJPt7cVXkRvvUktvuAcDZalqc5MJ5iqvxFFcTPJ60OooQQuQsKRgKISxnGgbRIwcZ3fYe0WOHwMwecNrcfkob11ucTojcoaeTnHjzh4y2HwBNo/KRz+JbuNTqWBcl1d9LeE/2YklQZhcKIYQQQkwrPZXg+GvfgVdN5vzRX2Dz599Mt8j+XQB41i6zNshFiLy7AyORwVNfRGh5jdVxxLjCNXV0PTtCfO+RnC0YKoqCvbaS5KFmkt2dOVMwFEIIMTNJwVAIYbm+F37J6NbNE5/7K5soWbCRUN2SiUWphZjtTNPg2MvfJtLbjGKzUfnoF/DOW2h1rIs2+ObLYJq4Vy7C2VBtdRwhhBBCiFklNtgBpoktEMrLYmFqoI9kTxdoKp7VuVng+U2mYRB+YwsAVfeuzMtZnTNVwZp6up7dTWLvEaujnJOj7mTBsANYZ3UcIPt7nYmMERuM4inKjyUy9HSSdHQUR1zH7S60Oo4QQuQkKRgKIaZFJhIm3naCRNsJ4q0nKLz+Fnzzsid4gWWriOz6kOJ56yhesBFXsMTitELkHkVR8V9zJfEX+qh89Au46xqsjnTRkj2dhPftAiB0/03WhhFCCCGEmIUiPScAcNfWWxvkEoX37gTAtWgumi8/2pEm9h4h0zuI5nVSdlP+DfibyULLa0BVyPQPkekfwlaSm0UkR20FAMnebouTnJLobKP93/4BuzfIskf/3Oo4FyTS08yxV76N31fF2jW/Z3UcIYTISVIwFEJMCdMwSHS0ET28n8iRA6R+48A2fuI4Fc7syZLPrKP4k/81u06hEOI0pmmiKArhOgU/K/E0LURzuayOdUkGXn0BAM+6ZThq82MUqhBCCCHETBLuaQbAXTfH4iSX5uTgM+/65dYGuQhjr74HQMXtS9DcDovTiI+yeZ0EFlYwtr+L+IHj+K/N0YJh9cmCYdfE+aHV7IXFAKRjYxiZdF5cz1FUFch27xFCCHFmqtUBhBAzh2meWuw61d9D+7f/gaF3Xp8oFroKyilesJH6az9Fdc1VE9sqipIXB5dCTLdofxv7X/p7hkKjE4/la7Ew1nKc6NGDoKmEHrjF6jhCCCGEELOOaehE+1uB/CwYJnu7SfX3gk3Ds2qx1XEuSLq7n8S+I6BA5T0rrI4jziC0shaAxIFjFic5O3tlKagqRjxOZmz0/F8wDTSPF9XpAtMkGRmyOs6FUU4WDHWLgwghRO6SGYZCiMtm6joDb7yIHo1Qft+jADhKK3AXVuIKlhCsXUywegE2V360jBEiF4x1HuHYG9/FTKUYeO15Kh58zOpIl8w0TQZefR4A3zVrsZcXW5xICCGEEGL2iQ12YaSTqC43jtJyq+NctJPtSN1L56N68mMQXfi17OzCog1zcFeGrA0jzqhgVR1tP3yfxIFjmIYxMQstlyh2G/aKEtKdvSR7u7AHQ1ZHQlEU7IVFJLs7SY4N4A6VWR3pvBRFZhgKIcT5SMFQCHFZ0sNDdD/17yQ62lBdbnzLH0JRNQAW3veNnGiVIUS+GWrexYlNT4Ku45nTRNldD1od6bJED+8n0d6C4rATvOdGq+MIIYQQQsxKkd7xdqS1DTlZFDkX0zQ/0o50mbVhLpARSxB7bzsAVfetsjiNOJvAwgpUlw0jHCXd2YujpsLqSGdkrykn3dlLqqcb5i2yOg6QbUuaLRgOWh3lgkhLUiGEOD8pGAohLll4/256n/kpRiKB6nJTf8XDEy0eACkWCnGRTNOke9erdH/4MgC+xcspf/AxVFv+vl2bhsHAa9m1C/03X4mtIGBxIiGEEEKI2alo7mr0+gI0l9vqKBct2d1JemgAxWHHvWKh1XEuSOTd7ejxNJ7aQkKraq2OI85CtWsEl1YzvK2FxIFjOVswdFRXEGM3yd4uq6NMsBcUAZAMD1ic5MKcHNwuBUMhhDi7/L0CKYSwjJFO0//SM4xuy7ZX8ZbU0XD9p3H6c3OBcCHygZFJ0bLpJwyf2A1AaMPVlNx2b96N/v5N4T07SPX1oHpcBO64xuo4QgghhBCzls3lw1+33OoYlyS8b7wd6bIFqC6nxWnOzzQMwq+/D0DV/atkMG2OK1hZmy0Y7j9G4NarrY5zRo6abBvhZG+3xUlOsReOFwzzZIYh4/8PpWAohBBnJwVDIcRFMQ2D9u/8E8nOdgDKl91A5erbJkZqCSEujWmaRGN9oKqU3vUgoTUbrY502YxMhoE3XgIgcNf1aF6PxYmEEEIIIWavcF1+Fq0+2o7UkyftSBOHmsn0DqB5HJTdlB8zImezglV1ACQOn8DM6Ci23Lu+YR+f+Zga6MPIZHKiC427uo6CK68j5KixOsoFsbsDlC6+Bm/UbnUUIYTIWda/uwgh8oqiqgSWr2ZoZJg5V32KQPV8qyMJMSPE5rqoKv4S6ZFhPPWNVseZFKNbN5MZGUYLBfDfmP8FUCGEEEKIfDXafpDh5na8Cxbjqqi2Os5FSXS0khkZRnE5cC9fYHWcCxJ5aysAZTcuRHM7LE4jzsc7pwR70E16NE6yuR3XvHqrI32MVhBA9boxonFS/T058f/YWV5JSfk9+FtNq6NcEIc3SM2GewkeT1odRQghclZ+9zkTQliipvwqltz3x1IsFOIyjbTspa1z08Rob3uocMYUC/VYlMF3XgEgeN9NqE65UCKEEEIIYZXBo9sZfPNlIgf3WR3looX3jrcjXbEI1ZH7M4P0sQjxD7M/54q78mNG5GynqAqh5dlZcolDxy1Oc2aKomCvKgMg1ddjcZrT5evsZSGEEB8nBUMhxHmZhsHAay+QiYTxt5ooioLN5bU6lhB5yzQNune/zvE3vk//y88Sa8nNk9LLMfjmyxjROPaacnzXrLE6jhBCCCHErGWaBuHuYwB45jRZnObimIZBeH92jW/vhvxYfzHyznbMjIF/YQW+xlKr44gLFBwvGCYPnbA4ydmdLBgmc6hgmAmPEW89QToetjrKeZmGTioyTCIxYnUUIYTIWVIwFEKc1+CbLzO06TXan/gnTEO3Oo4QeS2TjHP8te/Rtf0FME2Ca6/AXVNvdaxJlezvZWTbewAUfPIuFFUON4QQQgghrBIf7iGTiKDYHbir66yOc1HiLcfRw2OoXjfuJblf7DQNY6IdaaXMLswroeXZFp/JY62YmYzFac5sYoZhf6/FSU7p/vkPaX/iHxnrPGJ1lPNKRYbZ+9O/4oNt/9fqKEIIkbNkDUMhxDlFDu5j6O1XAahacjOKmnuLfwuRL2KDnRx//fukwoMoNhuldz5AYNV6FGVmtXDpf+kZMAzcKxfhXjTX6jhCCCGEELNauOsoAO66OSi2/LoMFN6XbUfqWb0kL7In9h8j0z+Ezeek5FpZwiOfeOqKTq1jeKIDV1O91ZE+xl6ZnbGaSy1J7aEC4mSLcblv/LzbzI81F4UQwgoy5F8IcVapgT56nv4RAKWLrqZo7mqLEwmRvwaPbufQr/+BVHgQW6iQmt/6DwRXb5hxxcLI4f3Ejh4CTaPgE3dYHUcIIYQQYtY7WTDMu3akmQzh/XsA8ORJO9LwWx8AUHbzIjRX7q+3KE5RFIXgsvFZhjnaltQxPsMwPTyEkU5ZnCbLFiwA8qRgOH7ubSIFQyGEOBspGAohzshIJuj68Xcxkkl8ZXOoXn+31ZGEyGvxQgMzk8E7bxF1v/N1XJU1VkeadEY6Tf+LvwIgcOtV2MuLrQ0khBBCCDHLmYZOuKcZAE9jfhUMo81HMOIx1IAP14I5Vsc5r8zwGPGdBwCouCs/CpzidMGlp9qS5iI14EP1esA0SQ30Wx0HAHtBIQDJ8JDFSc5vYrCuzDAUYlbr7u7mL/7iL1i9ejVFRUV4PB4aGxv5/Oc/z6ZNmyZ1X4ODg7zyyiv89V//NQ8++CB1dXUoijLx0dLScsGvNTAwwI9+9CMef/xx1q5dS2FhIXa7nVAoxNKlS/nyl7/M5s2bLztz7vdzEEJMO9M06fnlT0j192L3BJhzw2ekFakQl8A0dBRVI1ynEKxbj+bx4Z23cMau6Tf83tukhwbRQn6Cd99gdRwhhBBCiFkvOTYAqoLq8eIsq7Q6zkUJ790FgHfdsrw4fo5s2gaGSXBpFd66IqvjiEsQWJT9P5I81oZpGDn3e6coCvaqUpJHWkj19eCqqLI6EvaTMwyjMsNQCJH7nnnmGb7whS8wPHz636zm5maam5v5/ve/z5e//GW++c1vommXdy187969LFs2OesZf+Mb3+Af//EfyZxhjd3R0VFGR0fZt28f//qv/8r999/PE088QUFBwSXtSwqGQoiP0WNRkn09oGnMufHz2D0BqyMJkVdM02TwyAd0HXyL2sd/Hw0vAL4Fiy1ONnXSo8MMvZNd77TgE3eiup0WJxJCCCGEEK5QGY1/8t9JjwzlXPHjXIx0iuihvQB41uf+bD3TMIi8vRWQ2YX5zDe3BNVpw4jGyPQMTKwZmEvslWUTBcNcYAtlZximIsOYppnjS27IDEMhZrM333yTRx55hFQq29L5zjvv5J577sHr9fLhhx/yxBNPMDo6yr/8y7+gKArf+ta3Lmt/uq6f9rmmaSxYsIDm5mbi8fhFvdaBAwcmioVz587lxhtvZPny5RQXFzM6OsqmTZv46U9/SiqV4pe//CXt7e288847uFyui84tBUMhxMfYvD5qf/trKDtO4CutszqOEHklk4jQ8s7PGG3bD8DIB+9SdP2tFqeaegMvP4eZSuOcV583a8wIIYQQQswGiqbhKCqxOsZFiR49hJFMohWFcM6ttTrOecX3HEYfGsUedFNydX61fhWnqDYN//xyRvd0kDzWmpsFw6pspuRAr8VJsuyBICgKpp4hEw/n9IBzRWYYCjFrJZNJvvjFL04UC//xH/+Rr371qxPPP/bYY3z5y1/m2muvpaenh3/+53/m4Ycf5oYbLr17lt/v57Of/SyrV69mzZo1rFixAo/HQ319Pa2tF9f6WtM0HnnkEb72ta+xcePGjz3/W7/1W/zhH/4ht9xyC319fWzfvp2//du/5c///M8vOrcUDIUQZxTqdUL1AqtjCJFXwl3HOPH2j0jHxkDTKL7xdgquuM7qWFMueuww4X27QFEo/PQ9OT6qVAghhBBidjBNg3CdSj4emYX3fAiMtyPNg2PLyBvvA1B2y2JUh1xqy2eBhRXjBcM2fNestTrOx5wsYqb6cqNgqNhsFN1wO6rLiaLl9u++anNQvGAjjtGPt/QTQsxs3/nOdybWC7z77rtPKxaeNG/ePL75zW/y4IMPAvBf/st/4b333rvkfTY2NvL973//kr/+o37wgx9QWFh4zm2WL1/Ov/7rv3LfffcB2e9ZCoZCiMsSOXyAREcrZQXLoCi/1rcQwkqmodP14Sv07HkdTBNHcSnlD38mJ9aUmGpGOkXfcz8HwH/TFThq5W+HEEIIIUQuGGnZR9vTzxJcvZGia2+yOs4F0xNxIkcOAODduMLaMBcg3T9EfO9hACrvmpy1ioR1AgsrAEieaLc4yZnZy7OzhdPDg5i6jnKZa2xNhpN/X2ytuT1zT3O4qLvyIYLHk1ZHEUJMs5/85CcT97/xjW+cdbv77ruP+vp6Wlpa2LJlC62trdTVWd9973zFwpPuuusuvF4v0WiU1tZWxsbGCAQubuZ3/jSwF0JMubFd2xh6+1VGWvZYHUWIvNK96zV6dr8Gpklg1Xpqf+frs6JYCDD09mukhwfRCgKEHrjF6jhCCCGEEGLcaPsBMiPD6NGw1VEuSuTgXshksFeWYq+psDrOeUXe/ABMKFhdh7uqwOo44jL5F2R/59KdvRjJlMVpPk4rCKA47GAYpEeGrI4jhBA5LxwO8+677wLZNqFXX331WbdVVZXbbrtt4vMXX3xxyvNNJk3T8Hg8E59f7FqJIAVDIcQ4U9eJHc+OigzULLQ4jRD5I1yn4Ln9WpzlVVQ8/BnK7/sEqsNpdaxpkezrYWjzmwAUfvoeVPfs+L6FEEIIIXKdaRqMth8EwDd/scVpLs5EO9INK3K+HamZShN5ZzsAlfessDaMmBTOYh+OYh8YJqmWTqvjfIyiqtjKigBIDfRbnCZLj0WJt50gNtRldZRzMk2DTDJGOh2zOooQYhodOHAAwzAAWLlyJdp5ZmavXXuqHfXevXunNNtk6+3tpb8/+97g8XgoKbn4NaylYCiEACDe3oqRSKA5PXiLa6yOI0ROS4z00rH114zVZj/XXG5qf+fr+JeutDbYNDINg75nnwJdx71yIe5V+XUhSggh8knnhy8x0rafTCJqdRQhRJ6I9reTSURQnS7cdXOsjnPBMuExYs1HAfDkQTvS6PZ9GOEozhIfRRvy5+cszi2woByAVHOOtiUtG29LOpgbBcPRDz+g/dv/SO+eN6yOck6ZRJTdP/wz3tn8P6yOIoSYRocPH56439DQcN7tP7rNR782H3zrW9+auH/bbbehqhdf/pM1DIUQAMSOZkefBqvno1zCHxMhZgPT0Ond+zZdu17GzGRgbhnBlesAZt3/m7GdW4m3nUBxOij89L05P/pbCCHyWf/+d+jf/w4ArlAZvrIGfGX1eMsacAWKLU4nhMhFo23ZNQA9TQtQbPlz6Se8bxeYJs65tdhLLmy9HitF3voAgIo7l6Fos+t8YCbzzy9n4N1jJE90WB3ljGzl2ff+VI4UDG2BEACp6Ji1QYQQOWNs7PS/B06nE6fTmq5UIyMjE/eLi89/7lRUVHTGr811hw8f5m/+5m8AUBSFP/3TP72k18mfo0YhxJSKHj0EQKBa2pEKcSbxoW5a3vkpsYHsKFPP3AV45jRZnMoamfAY/a89B0Do/puxFYWsDSSEEDNcWdlKwuEOYrF+EiO9JEZ6GTj8Ps5gCUse+pOJ7SJ9rbgCRdhcPgvTCiFywWj7fgB88xZZnOTinGxH6tmwwtogFyDd1UfySAuoCuW3LbU6jphEJ9cxTObqDMOTBcMcaUlqCwQBSEdHrA0ixAzkONyJTXVYHeOCqUZ27deamtO71/3X//pf+Yu/+AsLEkEkEpm473K5zru92+2euB8O58c60CMjI9x7770kEgkA/uAP/oDVq1df0mtJwVAIQWZslGRPJygKgar5VscRIqfoqQTdO1+h98A7YBioLjclt99HYMWaWTurru/5X2BE4zjqqvDffIXVcYQQYsab33Q3NpuLVCrK6Fgbo6MtjIy24vWUTmxjGgZHX/oXjHQSp78IT0kNnqIqPEXVeIqqsLm8Fn4HQojplIoMEx/qBkXB27TA6jgXLDXYT6KzDVQV77plVsc5r8im7NqFResbcBbLQI2ZxN9UBgroA8PoYxG0QG79+54sGOZKS9KJGYaxUUzTnLXnyUKIU9rb2wkEAhOfn2924XXXXcfbb789Kfv+8Y9/zKOPPjopr5UPEokEDzzwwET71A0bNkzMNLwUUjAUQpAa6EN1u3H5SrC7c+tAWAirNb/x74x1Zt90vQuXUHbngxMjKGej8P7dRA7sBU2l6EsPopxnsWghhBCTx+HwUlK8kJLij3SEOJ4EIJkcxWXzE0snSYYHSYYHGW7eNbFZUdNa6q/JnjibpkkqMoTDV4CiSAs9IWai0Pqr0GNRNG/+nN+dnF3oWjw35wo0v8nMZIhs3gFA+e0yu3CmsfmceGoKibUNkWxux7MitzoxnWxJmhkbwUglUR3WtPmbyOPPFgVMPYOejMkgJSEEgUDgtIKhlXy+U8cUJ2fgnUs8Hp+47/f7pyTTZEmlUjz44IO8+eabACxfvpwXXngBh+PSZ6VKwVAIgWdOE41//Je4DufHNGshpku4TiFw683Enxmi9Pb78M7LrRPF6aZHI/Q9/zQAwTuuw1FbaXEiIYQQJzmdQTas/wbpdJyxcAfhcBeRSCfhSDfx+CAOX8HEtunYKPt+9teodifuggo8hZW4CytwF1bgCpVjc7rPsSchRK5z+AoovfMBq2NcFNM0GRsvGHrzoB1pbOdBjHAUR5GXovVzrI4jpoB/QQWxtiFSOVgw1HxeVK8HIxojNTiAq6LK0jyq3Y7m8aLHoqSio7lbMDRNqxMIIc7ioYceYsWKFZPyWvPnn949LxQKTdwfGBg479cPDg6e8WtzTSqV4qGHHuKFF14AYOnSpbz22msUFBSc5yvPTQqGQggAFE0juSiEvUWXkeZi1jL0DL173iRd4qDgyusA8NTPof4//EcUVf5f9D7/NHokjL2ylOA9N1gdRwghxBnY7W6KCpsoKjy1zm4mk8A0DezjsxGHR3pQFA0jnSTa10K0r+W016hYdSuVK28Bsq25o/1tuEJl2D0BaTMmRB4I1+Xf/9NkVzvpwX4Uhx3PqsVWxzmvyNtbASi7ZTGKJucJM5F/Xhm9r+wn1dpldZQzspUVkWqOkR4etLxgCKD5A+ixKOn4GJCbA0vN8YKhQv79jRRipvvqV786Za/90QLiiRMnzrv9R7f5zeJjrkilUjz88MM899xzACxZsoTXX3+d4uLiy35tKRgKISbosSgHX/8uFY1XUdCw3Oo4Qkwb0zQZaz9I+9ZnSY72o9hs+JauwD6+FoMUCyG8bxeRfbtAVSn67UdQ7HIIIYQQ+cJmc532eUGogWuv/gti8QEikR6i0R4ikW4ikR6SqTGcH5mNGB1o5+hL/wKAotlxBopwBYpx+otwBorxVzbhCpZM6/cjhDi7aH8bMT2Fu25OXrWOH9udbe/pXrUI1W1te8XzSfcPkdh3FICKO3J/rUVxaXxN2XWCU62dFic5M1tpIanmdtJD558tMx0KrrgWI5XE5S09/8YWUW12CueuxhE2rI4ihJhGixYtQlVVDMNg586d6LqOdo5jpG3btk3cX7JkyXREvCgni4XPPvsskP3+Xn/9dUpKJuecTK72CSEmjGx7j3hrMyc6WrG5fPgrGq2OJMSUiw910/7BM4S7sif9mtdHyR33Y/PP3nUKf1MmEqb3hZ8DELz7epz11RYnEkIIcblUVcPnLcPnLQNODRTLZBIopoo2PhsxPRjH7S4iHh/C1NMkhntIDPdMbF931SMTBcNITzMdW3+NwxfC4SvIfniC2D2BiQ9FzZ8CRi4zTRNMAyOTxjSzFz4VVUOzZwstpmGQSUZRNRuqzSE/91mkZ/cbjLTupej6Wym6/lar41wQU9cJ790JgO+KVRanOb/I29kLiQWr63BXyDnDTOWbUwoK6CNhMiNj2EK5sRbXSbaSQgDSw0MWJ8kKrlwHgLM1d9t+2pweGq79FMHxYxwhxOzg9/u58soreeeddwiHw7z77rtce+21Z9zWMAxefvnlic9vv/326Yp5QX6zWLhw4ULeeOMNSksnb7CGFAyFEBMKr76RZFcHkYN7OfbGd1lwx1dxF5RbHUuIKZGOR+ja8SIDRz4A00TRNEIbr6HwmpvQXLJ200mmadL77M8wIjHstRUE777e6khCCCGm0G/ORiwumk9x0XwMI0MiMUI8PkQ8Pkg8MUQsPkhJrJjA8SSjjU4SY/1E+1uJ9ree8bXrr3mUoqa1QHYWVN/+d7A5vdhc2Q/N6cned3px+gvRHK4zvk4+ME0T09AxMimMdBI9k8JIpzAySRzeApyBIgDSsTEGDn+Ank5iZJLZ7TNp9HQKI5OiaO4qiudvACAx2s+hZ/8vhp7BNDIfW4updNHV1Gy8L/u68TB7f/KXp55UVFSbHdXmQLXZCdUupmbDfRNZ+w++h8MTwO4N4fCFsLv9U/4zEpNPTycZ7ToEgHdB7rf1PCl6/DB6NILq9+JaPNfqOOdkZnSi72wHoOJOmV04k2luO56aQmJtQ6Rbu3KuYGg/WTAcGjzPlkIIIR599FHeeecdAP7u7/7urAXDX/3qVxMtSTds2EB9ff10RTyvdDrNI488clqx8M0336SsrGxS9yMFQyHEBEVVKX/oMTq+988k2ls4+vK/suDu38fhDVkdTYhJFy5LMXhsG5gmvsXLKb75LhyFRVbHyjnh3duJHtoPmkbx459AscmhgxBCzEaqasPjKcbjOfO6GMHjSZzpBvyLP0UiMUIyOUoiMUwyOUYyFSaVimB3n7rYGh/uZuj4h2fdX8N1j1HYmJ1pNNJ2gLbNT6HZXagOF9p40UvRsgWwkgUb8JU1AJAY6WP4xG4UVUNR1fFbDRQFUPCXN+AKZU+qU9ERxjoOT8zWMw09W+gzdTBM/JVNeEtqsq872k/fvk0YRgZTT2PoOkYmjaGnMDNpShZdRdHc1QBE+lo5/Ot/AvPMLc8qV91GxcqbAcgkonR9+NJZfw4n9w+gKCp6Kn7WbR2jmYlZE8lk6vQnTQMjncRIZ583P5JNT0Zp3/L0aZvbPUG8pbV4i2vxVzXhLa5B5L6xzsOY6TS2UCHOcuvXNLtQ4fF2pN4Ny3O+jWp890H00TD2Ag9FV0hHnpnO11RGrG2IZGsn7uULrI5zGlvp+MCT4dxoSarHoqT6+1D7VbwltVbHOSPTNDB1HcPIoKpyXivEbPLFL36Rv/mbv6GtrY3nnnuOb37zm/ze7/3eadscPXr0tMf++3//72d9vfr6elpbs4Mk33zzTa677ropyX3SyWLhM888A5yaWTjZxUKQgqEQ4jeodgdVj32J9m//I6mBPo6+/G/Mv/Or2Jwy40rkN9PQGes8QrBmIeE6BTtFlNxxP46Scjz1c6yOl5PSoyP0vvhLAEL33YSjRmYcCyGEODuXK4jLdeb2fKZpQAKU8YKWFi/D3ng76XSMVDpKJh0jlY6N30YJDNkJkp25qCejpGNjpBk742sHq+fDeMEwPtJzzgJc3VUPTxQM48M9tL77s7NuW7PhvomCXToepv/Qe2fdNhgZnrivavbTioWKoqFpDjTNiabZ8Y7ZJgp77pSdyoq148+Pf6gOVM2OpjnwOkvxjW9rGC7Wr/0aqmpHVbWJW0VRAQVFUSb26XQGuP7a/4Fp6uh6GsNIj9+m0I0MDrsP90RxMU5x8aJscTc5RioVJh0bZaRlLyMteymJXjFRMDRNk9hAO57imtP2J3LDSMteAPyLlubNv4+eSBA5lM3t3bjS4jTnF35rKwDlty5BteV2cVNcPl9TKX2vHyTd2mV1lI+ZaEk6Moyp65YX26PHDtHz8x/hr5jLvDu+YmmWs0mODrD/F3+Dzebimqv+3Oo4Qohp5HK5eOKJJ7jjjjtIp9N89atf5aWXXuKee+7B6/Xy4Ycf8u1vf5vR0VEAHn/8cW666abL3u8TTzwxMWPxpJGRkYn7f/d3f0cwePr501/91V997HW+8IUv8Ktf/QoAp9PJ7//+7/P++++fd/9XXXUVxcVnHvB5NlIwFEJ8jObxUvXZ36bt3/6BxPiFlMYbP2d1LCEuiWnoDB7bQfeuV0mFh6j57T/ATR0AobVXWJwud5mGQe+vfooZT+CYU0PgjmusjiSEECKPZYtap/h8Ffh8Fef9uuDxJB69iZLVv0cmkySjJzH0FLpxqghWHC3BO178UsM+EhVrMU0Dw9THZw0aEzPqCsZ8E8U6NeyguGgB2WKb+rGPoljBxLbOhJdU3Q2oqm38Q0NVHWiaHU2149FK8Yxv6zeCFG78j+PPO1DPsX6gw+Fnwfz7L+hnqKo2vN4LX59EURQUxTY+i+Lsg/+czgDLlnx64vNMJkk40sXYWDtj4Q7K1YaJ52L9bRx67h9wBksoblpHUdMa7J7catM3Wxl6hpG2AwD4FuVPq8zIwb2Y6Qy28hIcDbm9Tnamf4jEviMAVNyx1OI0Yjr452YHmCRzsGCoFQTApkFGJzM2ir2g0NI8Nl/2vSAdD1ua41xMTrbyzo8BFUKIyXXTTTfx05/+lC9+8YuMjIzw61//ml//+tcf2+7xxx/nW9/61qTs8wc/+AFvv/32WZ//p3/6p489dqaC4bvvvjtxP5lM8pWvXNjAjEuZ/SgFQyHEGdlDhVR9+nF6nn6S0D13QNTqREJcHNMwGGreSffOV0iOZdu0aD4/eiR3T2ByycgH7xI7fhjFbqP4tx62fMSqEEKI2ctud2O3X1h7Rb+/6oILcH5/FcuWfvaCtnW5QsxpuLBRxqpqw+k880zLfGCzOSkINVAQOlUoZLwYGuvpQrU5SI7207n9eTp3vEiwegFF89YRrFmIqsklBquEu49hpBNoPj+u6jqr41yw8O7seoDejStyflZkeNM2MKFgdR3uypDVccQ08M0tAUAfGEaPxNB8HosTnaKoKrbiQjI9/aSHBiwvGGq+7Nq3uVwwxMgOHvrNQUxCiNnj/vvvZ8OGDXzrW9/iueeeo6WlhUQiQUVFBVdddRVf+tKXzrq+4WwhR/NCiLNyVVRR95U/RFFVwsXgbzUxTTPnT+TE7GaaJmMdh+jY9msSwz1AdtZswVU3EFp3JarDYXHC3Jfs7aL/1ewoq4JP3oW98sJnMwghhBBi5qooX0VJ8WL6+vfS3b2D0bFWRtsPMNp+AIevgKZbH59o+SqmV7jrGAC+hUtR1Py4GJ4eGyF2Ipvbe0VutyM1MzrRd7LFzYo782cGp7g8Np8LV2WIRNcIqdZO3IubrI50GntptmCYGh7E6lKmbbxgqCdjGHomJweQnJxhKAVDIWa3iooK/vIv/5K//Mu/vOTXaGlpuaDt3nrrrUvex6XsbzLk3l/vM4jH4zz55JM888wz7N27l97eXux2O2VlZTQ1NXH99ddz77330tSUW2/cQswEHz3Z7I7vJ/ruBzRc9xia3WlhKiHOzjR0Wt7/OZmxEVS3m4Irrqdgw1WoTpfV0fKCkUrR/bMfQCaDe/kCfNevtzqSEELkPDlfEbOJzeaksmINlRVriMb66e7eQU/Ph6g2BzaXz+p4s1bV2jtxXrEirwbHhXftANPEOa8ee4m1s6POJ77rIPpIGHvIQ9HGRqvjiGnkm1tKomuEdFt3zhUMT65jmBkZPs+WU091e0BVwTDIJKI4vDk40/7kDENpSSqEEGeV8wXD559/nt/93d+lra3ttMfj8ThjY2McPXqUF154gY6ODv7+7//empBCzAJGMknPr36KEYty6Nl/YM6Nn8Uto4dFDjBNk0hPM76yeiINNsBO0Q23kerrofCaG9E8Xqsj5pX+l58l1d+LFvJT9KWHZEaxEEKch5yviNnM6ylhbuNt1NVeg2GkSbjkuMsqkXoVFzVWx7hgpmkytmsbAN4rV1uc5vzCb74PZNcuVO3Sqn828c0pZmDTEVIdPVZH+RitKARAemTI2iBk183V3B70aIRMMjcLhqahA6CcY21hIYSY7XK6YPjd736X3/qt38IwDBRF4ZZbbuGmm26iqqoKRVHo7u5mx44dvPjii1ZHFWLGU51Oqh77El0/+R6JkR4OPvf31F/xMIWNq6yOJmaxcPdxuj58iUhPM+UPfIoAawAIrlpncbL8FD6wh9Ft74GiUPT4I2gBmSUghBDnIucrQmTZ7dlmeM7jSUYbnfQf2oLmcFE4J7fbTM4UpmkA+XUBPNHRRmqgD8Vhx7tuqdVxzindM0Bi/zFQsgVDMbt4G4oBSOdgwdA2XjDMhRmGkF0KRI9GyCSiVkc5o4mCobQkFUKIs8rZguHmzZsnTr5ra2t5+umnWb36zKPOdF2nt7d3mhMKMfu4a+qp+8of0v3UD4mfOMqJt35EuKeZmvX3otrsVscTs4Rp6Ay37KVv3yai/a0AKJpGZmzU4mT5LT06TO9zPwUgcPs1OdduRwghco2crwhxZuaHR2jb+QsAMokYpYuutDjRzGZk0uz/+d/gmt9E6e335U0b/pOzCz2rF6O6cztz5K0PAChcNwdXee7NmhJTy9tQAkCqsw9T11G03CnO24oKAEiPjlgbZFzBlddjpJO4fMVWRzkjzekhVL8Mb8rqFR+FECJ35WTBMJ1O8/nPfx7DMPD5fLzxxhs0Np69R7ymaVRWVk5jQiFmL5vPT/Xnvszgmy8ztOk1Bg5tITbQzvw7vypFQzGlTNOkb98m+va/QyqaHUGpaBqB1RsovPpG7MGQtQHzmGkY9Pz8RxjROI6GakIP3GJ1JCGEyGlyviLE2QUDNVRVrqOz6wPatzxNJhmlYsXN0uZ8ioy2HyAVHcZoPoriyI915o10mvDenQB4r8rtdqRmJkNk84cAVNwpswtnI1d5EM1tR4+nyfQOYq8stTrShJMtSTPh0ZwoZp7s9ONoNS3NcTbugnIab/wcweNJq6MIIUTOysmC4S9+8QuOHTsGwDe+8Y1znnwLIaafoqoU33g77tp6un/xJI6mOUQbHfhz9KBQzAyRepXBNw+Sig6jeX0E115BaN2V2Hx+q6PlvaFNrxFvbUZxOSn+yidRbLkzalYIIXKRnK8IcXaKojKv6R7sdi8trW/Q/eHLGOkk1evutjrajDR0PFt48y9ZkTdF2ejh/RiJOFphENfC3P77Gdt5ECMcxVHkpWj9HKvjCAsoqoK3oZixA92k2rtzq2AY9IGmga6TCY9hDxVYHUkIIUSey8mC4RNPPDFx/zOf+YyFSYQQ5+JtWkjd7/4hNk92nbNwnYL7cBjV7kLVcvLPi8gTpqEz0naAgcMfUPTow9gDIQCKrr+F9LKV+JetRrXLjNbJEG9tZvDNlwH4/9q77/i4yjvf458zXb3LkpvkXjC4grHB2JhmiikJEBICCbCEJLDZXEJusrvZTTYFNptl9940ktw4bLJZUoEECCVgTDMYV7CxZVvuTVbvZeq5f4w12GDLsi3pOTPzfb9efjHCR3O+PqMzmuf8zvN7Cm+/Hm9pkeFEIiLOp/GKSN8sy2LsmEvxejOp3vEMtZteIad8PHmjppiOllIiwW5aD2wBIPccZ8/UO1rbhng70qz5s7Bczl5LrOPV1QCUXTENy+3srDJ4ssaUHCkYHiZr7nTTcRIslwtPYR6R+ibCLc3GC4aRjnZCDfW4m/1kFjqvs4Jt6yZ3EZGTcdynnUgkwptvvglAUVER48ePp6amhq9+9atMnTqVrKws8vLymDZtGl/4whfYvn274cQi6c2bm4/liRcH7WiUba//F9v/8iOC7U2Gk0kyCrY1cnDts2z87bfYtfy/aDtQRdv6NYm/z6wcR97s81UsHCCRjnYO/f5XYNtkzZtJ9vyZpiOJiDiexisi/Tdq5HxGjpgPwN43fk8k2GU4UWpp2bsROxrFV1qGb1i56Tj9Emlvo3PHVgCyL5xlOE3fIvVN9GyuBqBsyTTDacSkrLHxNfnCBw4bTvJh7uJ8ACKt5q/BtG9cz4Ff/JDD775sOspxNe9+l/W/eIAN7/zcdBQREcdy3BSgLVu20NUVH0SMGjWKF198kVtuuYWmpmN/8W3evJnNmzfz4x//mO985zt85StfMRFXRI4SaqgjVHeYWE83W576DyrmfZSCMcnTGkfMsO0Ybfu3Urv5NdoPVSf+vzs7h9yZ55JzjrMvJCSr3nULo+1teIeXUvip601HEhFJChqviJyacWMvp7llJ3mTZ+H2Jscae8ki0Y707FlJM+Zqe3cd2Db+8aPxlpWYjtOnjjfWgQ35M0eTMTzfdBwxKGts/Gc1tL/GcJIP8xTmEwTCLS2mo+DOzAIg0tNpOMnx2bHokUfJ8X4pImKC4wqGNTXv//Ktr6/nhhtuoLOzk7PPPpvbbruNiooK6uvrefLJJ1m+fDnRaJSvfvWreL1e7r///pM+fzAYJBh8f3Hbtra2Qfl3iKQj/7ByKj73JWp+/yt6Du5j94pf01i9ltHzPoI/V20O5fiioR52vvIr7HAYLIvMcZPIm3M+2ZPOMr5oeyrrqNpE167tWD4vxffeiiugC3giIv0xmOMVjVUkFbndPs6dfR/tEzJNR0kpoc4W2mvia6nmnpMcXSJs26ZtQ7zFZ9YFzm6hakejdLwW73RSfqVmF6a77DHxGYbRxhZi3T24MgKGE73PUxxvQxppbTacBFyZ8ff5SNDZBUOXS9cZREROxHEFw+bm93/BHTx4EIA777yTn/3sZ7iPunB877338oMf/IAvfOELAHz1q1/lxhtvZPTo0X0+/0MPPcS//Mu/DEJyEQHwFhQy6q77aHztJZpfX07bga1sfvLfKJ9+GWXnXIylD2Zpr7N+P60Hqsi5/ooj/yeL/PMuiN+9O/dCvAWFRvOlA9u2aXr1JQByr1iAb8Qww4lERJLHYI5XNFaRVOVyucnbGaR1nG5QGiiWy0PhwssINzfiLUiOmzN7DuwlVF+L5fM6ah244+l+dyvR5ja8eRkUXzjBdBwxzJMdwFeURaixk3BNPf6xo0xHSnAX5ALxdr+muQPxgmE01G04yfG9XzB03OVwERHHOK01DBctWoRlWQPy57e//e0xzx2LxY75evz48TzyyCPHDL57/e3f/i033HADAOFwmEceeeSk2f/+7/+e1tbWxJ/9+/efziEQkT5YHg/Fi5dQce+XyRw7ATsSoamuCizHLZsqQyQa6qFh+2qqnvq/bH3q/1Cz/gV6Dr7//ltyxbWULLlWxcIh0rl9C8HDB7ECPnKuuMB0HBGRAZes4xWNVSSVRSI9NO1cT+17r5qOkhK8GdkUL15C+UdvNR2l31rXvw1A5pxpuDKdM0PreNpfic+EHHbFWbh8Ki4IZI6OF+bDB2sNJzmWO/9IwbCt1XAScGVkABANOrNgGIuEgfgNFyIicnyOe4fMyck55us77rgDn893wu3vuecennzySQBefvnki+r6/X78ft3VKDIUfMWljPjUZ2nftB5vQREdo+IFw8zqLjoO7yZ31JSkWWtDTp0di9FeU01j9Vqa922KtxwFcLvJOWs6rj7e22Xw2LZN0ysvApCzeB7u7CzDiUREkstgjlc0VpFU1t3dyO51/4PL46NkygW43I67HJFU2iuSaxwVCwVp3xxfczH7onMNp+lbuL6Jnk3bABh+9TmG04hTZI4soGXDPsK1DaajHMOTmGFovmDoDhwpGIZ7sO0YlsNuGrejEUAzDEVE+nJa75A33ngjM2bMGJAAkyZNOubrgoKCY76ePbvvvvZz5sxJPN65c+eAZBKRgWNZFrnnHHse79uzgqbXl5NdNpYR515DdmmFoXQymNoObWfHC/8v8bW3qIS8meeSO2sunuycPr5TBlPXzu30HNyH5fOSu2SB6TgiIoNC4xUR58nOHo7Pl0so1EZHzU5yR046+TfJcdVXvUmkK5esCVOwPMlx4bt987vYPSE8pUX4J40xHadPHa+uBhsKZleQMaLg5N8gaSFj5JG1Ag87q2DoLsgDINrZgR2NYh2n48FQcR0pGGLbxMIh3D5nzSSOReM3MbtVMBQROaHTeoe87777BjpHwuTJk4/5Oi8vr8/tj/77tjbz/bpFpB/cbiyPh47Du9j29PfJG30Ww6YtJLtsrGYcJiHbtulurqFlzybc3gCZ1ywCwBo5Ed/6YWSMGU/u9DkERo7W6+sATa/GZxdmLzoPd2624TQiIoND4xUR57Esi+KiSRyqWUPL/i0qGJ6mWCTEgTV/IfZmDyPv+DyZY8abjtQvbevi7UizF8xx9JjAjkToeG0tAOXXOHudRRlaGaPiy2eEHVYwdGVngtsN0SiRjja8eeaK3C6vl6JLrsTlD2C5nDW7EMCfW0zuyMlkZQwzHUVExLEcd0tFcXExw4cP59ChQwC0tvY9pf7ovz/ZYF1EnKF48RLyZs+lccULtG1YQ+u+zbTu20xG4XDKzllM4biZpiPKSdh2jM76/bTs2UjLnk0E2xsB8OTlM+bqhfF1n9xuKu77346+IJBuunbvoHvvLvC4yb3yItNxRESSksYrIqev6EjBsHX/Fuzzr9fnxNPQsvc9YuEePPmFZFSMNR2nX0INdXTv2w2WRdaFs0zH6VPX+i3E2jrwFWZRNC85jq8MjczeGYa1DdixmGMKYpbLhTs/h2hjC5G2VqMFQ4CihZcB4NprG81xPEXjZ1M0fjZ5O4OmoyQF27Zpad3N/v0rKShIjptTROTMOeO32wdcddVVicfr1q3rc9u1a9cmHn+wXZCIOJc3r4Cy62+h4r7/Td6c87E8HrqbDtHUtdt0NDmJQxv+yqbffottT3+f2k2vEGxvxPJ4yJp8FkWLr4RYLLGtLgI5S2J24UXn4inQRWsRkdOl8YrI6SnIH4fl9hBqb6KnpdZ0nKTUsH0NAHkzz3VMweJkWtevBiDj7ImO/wzasSI+E7LsyrNxecy1dhTnCQzLxfK4sMMRok3m1ws8mju/dx1DdTKQgbW9+mkaGqs4eGiV6SgiMkQc+enyk5/8ZOLxo48+SigUOuG2P/3pTxOPr7zyykHNJSIDz18yjGHX3szYB75O8WVXU3D+AtorLNorLOqsvex+9Td0N9WYjpmW7FiMjrq9HNrwV2LRSOJ16fZ2Eu5qw+X3k3P2TMpvvp1xX/kWIz5xV/zChcE1E+TEuvftoWtXNbhd5F210HQcEZGkpvGKyOnxePwU5MbXr2vdX2U4TfIJdTTTXlMNQO6MOSfZ2hnsaJS2d+JFzuyF5xpO07fw4Xp6qnaCy6L8qrNNxxGHsdwuMobnA85rS+opOFIwbDNfyAw1NdC9dxfhLhUvk0043MXefa8SjcY/11qWRcWoixiVMZVz/OpQJJIuHNeSFGDhwoVcfvnl/PWvf2XHjh18/vOf52c/+xmuD9w998Mf/pAnn3wSgJycHD73uc+ZiCsiA8CdmUXhgkuO+X/Nq16jY8c7NO1YS0bRCIrGz6Fw3Ey8GTmGUqY227bpaamlvWYnHYd30l6zk0hPBwDu6ePIJN6CIm/OPLImTCFjzHhcXq/JyHIKml57CYDsC2bhKTbbpkZEJNlpvCJy+oqKJtHUXE3bwe2UnXOx6ThJpbF6Ldg2GZXj8BYUmY7TL53bq4h2tOPKzSZj+hTTcfrUfmR2YeG5YwgMyzWcRpwoY2QBXfuaCB+uJ2PaBNNxEtwOKhjWPfMEXTu24lrwMYonnmc6zjF2v/oYLXs2MX7MEkaOON90HEepb9jClqo/EI0Gcbv9jG0bAcBoiiF3IZHYiW+OE5HU4siCIcBPfvIT5s+fz+HDh1m2bBlr1qzhtttuo6KigoaGBp544gleeumlxPbLli2jsLDQYGIRGWiFFyyCWIyObZvpbjzIgcaDHFjzNLnDJ1I4bhb5o6fi9mWYjpkSWva+x943/pAoEPZyBQJkjpuEy+dL/D//sHL8w8qHOqKcgWDdYTq3bwHLIveqRabjiIikBI1XRE7PyBHnk7PgIrAc2fDIsexYjIbt8YJW3qy5htP0X8vaNwHIvnA2loNbfMaCITpfj7eQHr50uuE04lQZI/IBiNQ3mQ3yAe68+E3V0c52w0nA5fcDEIs4r8AUCweJRUJaOuUoth1jz95X2L3nyA3GnkKy68PgNxxMRIxxbMFwzJgxvPjii9x8881UVVWxceNGvvzlL39ou+zsbJYtW8ZNN91kIKWIDKbAiNEMv+XTRDs7aH/vHdreXUvPgX20HdhK24Gt4HKRVTyanOHjyR0+gexhY7Bczh2EmmTbNqH2Jjrr99HZsJ+u+v0UT5qL79J4W6CwN5/ISx1YXi8ZoyrJqBwX/zOqUi1GU0Dv7MLM2WfhLSs2nEZEJDVovCJyeizLpc/spyHc3Y6Vl40r2kP2WeeYjtMv4eYmunZsA5zfjrTr7XeJdfUQKMuj8NxK03HEoQJl+QBE6hrNBvkAV042AJEO5xQMo+Gg4SQfFg3Hi5hul+8kW6aHSCRI1dY/Ut+wGYDRGWczOWceLku/o0XSmWMLhgDTpk3jnXfe4b/+67/4wx/+wJYtW6ivryc7O5uJEydy5ZVX8vnPf56SkhLTUUVkELmzssmfeyH5cy8k1FBH27vr6Ny+hWDNQTrr9tBZt4fDm1Yw49Zv4T5y8aG7qQZPIAtPRk7a3j0W7m7n8MYVdDfV0NV4gGiw65i/d48sZRjxgbu/bASj7vpbAiNGYXkc/atBTlGosZ72TRsAyFuqtl8iIgNJ4xURGSq+rDwq7vlfRNrbcHmT42J367pVYNsEzhqPd5izb1prf2U1AOXXnIPl1uxXOb7eNQydN8MwXjCMdnScZMvB5/IdmWHowIJh7MjafC63llbp7m5i43u/prPzMJbl5qycBYzMcHbbaBEZGo6/Kuzz+fjMZz7DZz7zGdNRRMQBfMWlFF9yJcWXXBm/Y3V3NV27qrGjUbrGBxLb7Xn614TqDuP2Z5JRWE5GwZE/heVk5JcmfStTOxYl1NFCsL0x/qetgZ7WOrJKK8m+9lIAot0e6h579f1vcrvxlw0nMGI0gRGjyBg9JvFXlstFRsWYD+5GUkDTGy/H17o5ZxK+ihGm44iIpByNV0ROTXd3E7tWLMftC1BxwY2m4ySN9or4TZCenORYW8+ORmldH2+hmr3I2S1UQ3sPEtq1H8vjouyKaabjiIMFyvMAiNQ1Ydu2Y25OduceKRg6oSVpomDoxJakR2YYupPjpovBFI2G6OluwufKYGbeEgp8ZaYjiYhDOL5gKCJyIt6CQvIK5n5oDQ87FgPLAssiGuyio2YnHTU7E3/vKy3j7KXvtwxr3v0unowcAnmleAJZxj/027EYkZ4OQl2thLvacHv95JSPB+LrAGx+4t8JdTSDHfvQ94a9EbKJFwzdGZkUXnQpnvwC/GXD8ZeNwKXZg2kl3NpM2zvxtVhyly42nEZEREQEIpEemndtwJuZCyoY9ktn/T6ipaW4M5LnpseObZuJdrTjys0mc6azZ620r4jPLiy+cAK+gkzDacTJAsNywWVhh8LEWjtw5+eYjgS8v4ZhpLPDeCGzt2AYDfcYy3Aivesqul2aYZidXcbM3CvI9uQTcGebjiMiDqIrxyKSciyXi8p7v0wsHCJUX0ewtoZQbQ3B2hqCdTX4S8sSd+jasRi7f/Ub7HAYAJfHhy+7AF92If7sArJKKyiaMCfx3J11e8HlwrLcWK4j66/YNrYdw+3148suSGzbUbcXOxImFgkRix75byRMNBLEn11IwZjp8Qy2zbZnfkgk2Ek02E0k2HVMMTBz/GRGnj/hyFd+IpFusGNYHg/egqL4n8IivEXFBIaPOuZYFF961WAcYkkSzW+sgGgU/5SxBCZUmI4jIiIiguvIEgKxaMRwkuRgx6LsXP5fRJ7rYuSnP0fGqErTkfqldc1bAGQvmOPoJQ9i3UG6314PwPBrphtOI07n8rrxl+QQrG0jXN/knIJhTlb8QTRKrKcbd4a5wrflj8/e6y3OOUksEr/uk64zDOvrN5ORWUx21jB8Vfsp9o80HUlEHMi5n9pERM6Qy+sjMHwkgeHHfgiyo9HE41gwSEblOEL1tURamolFQvS01NLTUgtAt6sd36Xxdf7sWIzqZd8/4f6yJk9jxCfuTHy9/dEfQuzDswABMsdNwrNoxpGvLLrbDhPrOeoOPMvCnZ2DJycPX/Gx6x6N/NQ9uLNy8OTkYrm0voYcX6S9jdb1qwDI0+xCERERcQjLil+GsGPRk2wpAK37qwh3tuLOzMJfnhwXd0NNjXTt3AZA9sJzDafpW+eqd4h2h8kYVUDe9OQ4vmJWRnkewdq2+DqGDrkp0/J5sTIC2N09RDvajRYMM0ZVUrT4SvKtYcYynEhWaQXh7jY8nuSZrT1Q2toOsHnL77BcLs7PvwGfp9B0JBFxKBUMRSTtWG534rE7I4ORt8XXHIqFw0TaWgg3NxFpbSbc3ISv5KgPubEY3oJC7GgMOxaNtz6NRsECLBcu37F3qfkKi8GysLw+XF5v/L8+H5bXh7/k2A/P5TfdhuXx4s7Miv/Jyj5hMfCDswhFjqf5zVexwxF8Y0cRmDLOdBwRERER4P0ZhrZmGPZL/db4TL3cmeclzfICrevimQPTJuAtLTKc5sRs26bjlfg6i+VXn2N8aQpJDoHyPHhnP5G6RtNRjuHOyybS3UOko/3Y6xhDLDB8FIHho8jZaxvLcCLjLvkUABk7g4aTDK1gsJ1N7/2amB2hxF1Btrvg5N8kImkrOT5tiogMAZfXi6+oBF9RyXH/3vJ4GPO/vtbv56v8wlf7vW3WBGev6yHJJdrVScu6lQDkXbtYFz9ERETEMRIFw1jU+FpbThdsb6TtYHymXt658wyn6R87EqFtwxoAchbNPcnWZoV2HyC09xCW103ZZWeZjiNJIqM8H8B5BcPcbCKHG4h2dpiOIg4Si0V5b/NjBENtZLkLmJ53qX7vikif1MtOREQkxTS9vhy7J4R3dDkZ0yebjiMiIiKSEInEZ3ZYbq/hJM5Xv2Ul2DaZ4ybFu5ckgfaqTfGWiPk5ZMxw9k2R7cvjMyFLFk7Em5d+LQrl9ATK8wCINLaYDfIBvesYmi4YxsIhgocP0tV40GiOE8lLs9mFO3e9QGvbXjzuALPyl+Bxpef6jSLSfyoYioiIpJBwWwstq98AoOCjV+juQREREXGUYLANLAt/bpE+p/QhGg7SsD3eLjP//AWG0/Rf69vxz6HZC8/D8rhPsrU50bYOula/C8CI62caTiPJxF+aAzivYOjKPlIw7Oo0miNUX8veHz/MjheXGc3xQaGOZjb86h94c9X3TEcZMvUNW9h/IP6efHb2QrI8+WYDiUhSUEtSERGRFNL0yovY4Qj+CRUEzplkOo6IiIjIMQoKxjLzU/9KNNhlOoqjddbtIRoJ4S0sImtCcnSMCB4+RPe+3eB2ke3wdqQdr63BDkfJmVRG7uRy03EkiQRKcwGINrdix2JYLmfMxXBlZwIQ7Tb73mp54rPHY5Gw0RwfFA0HiYWDRGxnvF5DoaZmHQAVmecwLDDWcBoRSRYqGIqIiKSIUGM9rRuO3Il+4xLdtS8iIiKO5HJ7cGXmmo7haLkjJjH2/n8i3NLsmILEyfR2ucicdRaeAue+vnY0SvvLqwAYft0Ms2Ek6fgKs8BlQTRGtLUdT0Ge6UjAUQVDwzMMewuGdjRiNMcHRcPxVqQeT8BwkqEz7axPULvhBUZlTDUdRUSSSHJ86hQREZGTalzxAkRjBM6eSGDSGNNxREREROQ0tVdYeHLzyBhdaTpKv0R7umnbGJ/NknPJPMNp+tb9ThXRpla8eRmULlJHDjk1ltuFv+RIW9KGFrNhjuJOFAzNzjB0eY/MMIyGsW3baJajxcI9ALjdfsNJho7L5aYi82xclnPbQ4uI86hgKCIikgKChw/SvmkDAPkfvcJwGhEREZHj21L1B3a/+huCbQ2mozhWqLPVdIRT1rZhDXYojHfEMPwOv3Gt/aW3ACi76mxcPjXeklMXGHakLamD1jF8vyWpM2YYYtvYsajRLEeLho7MMEzxgmF7+0F271lONBrCV7XfdBwRSUIqGIqIiKSA+heeAdsm87xz8FeOMB1HRERE5ENs26au/j2adqx11MwTJwm2NbLpd9/iwK9+ih1xVku/E7FjMVpWrwTiswud3BY/dLCWnqqd4LIYfs1003EkSflLj8wwbGoxG+QovQXDmOEZhpbn/SK8HXXOOobR3hmGntQtGNq2TfWOv7B7z3J2r/2j6TgikqRUMBQREUlynTu20bVzG7jd5N+o2YUiIiLiTKFQO7FYGCwLX3aB6TiOVFe1Eo4UU4++8O5kXbuqCTfWY2X4yZo/03ScPrUvj88uLJ4/PjFLTORUBUqdN8PQndU7w9ABBcMjNw3EHLSOYax3DUO3z3CSwdPQsIWW1j24XB7GZM0wHUdEklRyfPoUERGR47JjMepfeAqAnEvOx1taZDiRiIiIyPF1dzcB4MvKx+XW5YgPioaDNOx4G4D88xcYTtN/LW+/AUD2hbNxBZw7eyfW3UPXm/F1FodfP8NsGElqiRmGDioYJmYY9nRjR6NYbjPr1lmWReGCS7Dcbke9z3sCWWSVVpCZUWo6yqCIxSLs2PkcAGMyppPhzjGcSESSlXPeuUVEROSUta5/m1BtDVZGgLxrF5uOIyIiInJCnV21APhziw0ncabG7auJ9fTgLSwma/xk03H6JdTUQOf2LQDkLJ5nOE3fOt5YR6wnTOboQvKnjzIdR5KYv8SBBcOsjMTjaE83nqxsY1mKL70KAPde57SeLhw3i8Jxs8jbGTQdZVAcPLSa7p4m/K5MxmQ6e6a3iDibWpKKiIgkqWhXJw0v/wWA/BsuxZ2dZTiRiIgMhi1Vf6Sru9F0DJEz1tKyF4DsYZVmgziQHYtSu/k1AArmL8RyJcflmpZVr4NtEzhnEt7yEtNxTsiOxWh/Kd6OdPh1Mx29zqI4n784XoyLtrQZTvI+y+3GCsTbbcZ6ug2nkaEUiQTZs3cFAOOy5uBxeQ0nEpFkphmGIiIiSarh5eeJdXThHTHM8Xd0i4jI6Wto3EJj0zZGDJ9LZcXF+Hy6QUSSj23btLTuBiB72FjDaZynefdGQu1NuDOzyJ1xruk4/RLt6ab1nXgL1dzLLzCcpm8971UTqW3Anemj7PKppuNIkustGMbaO7EjEcesN+rKCBDtCREL9hjNEW5uJBYOkxUpwOVJ3TUDnWL/gZWEw51kuvMYmZEcs9NFxLmc8RtNRERETknw8CFa17wJQMGtS7E8ZtaoEBGRwVfoHUFT+CAHDr7J4cPrqahYyMgR83G7dQe5JI9oNIgrMxMr3EFWaYXpOI7TWL0GgPy5F+LyJccF9rb1q7F7QniHlxI4a4LpOH1qeyn+ublsyTTcGclxfMW5PLkZWB4XdiRGtLUDT1G+6UjAkYJhcxuxHrMFw/2PPkKkpYmMpV9wzPv9zpf+i86GfUwes5SS4tS6aWBY6Tl0dtVRHhyGy9J1ARE5MyoYioiIJBnbtqn7yxNg22TOOZuMqeNNRxIRkUE0K38JLeFatnWsoj3SwM5dL3Dg4CrOPusT5OZqHS5JDh5PgKkfeYBoqAe31286juOU3nkngXfXkjP1HNNR+sWOxWhe9ToAOZdf6OgWn+HDDfRs3AYWjLhuhuk4kgIsy8JXlE2wto1oc5tzCoaZASA++9ckyx0vWtmxqNEcRwt1tRLubAWc+151ujIzi5llXQAB00lEJBWoYCgiIpJk2t97h+69u7B8Xgo+frXpOCIiMgSK/aMo8o3kUM92qjtWE4kEycgoMh1L5JS5fbqieTwur5f8OcnTYr5j63tEWppwZWeSNX+m6Th9al8eX7uw8NwxZIwoMJxGUoW/KCteMHTSOoYZ8fdX0zMMe9dgtWMxozmOFg3Fi6geT+r8DrLtGJaVHOvdikjyUMFQREQkicSCQRpeeAqA3KsXOeZuVhERGXyWZTEiYxJlgXG0RxrxejOB+Mzz3XteorT0HLKzhhlOKXJ8MQfNNHGSSLCLrvEZWEk266XlrdcAyF40F5fPue2RYz1BulbG272OuN7ZhU1JLr6i+DqGEQcVDF29BUPDaxg6cYZhNBgvGHo9GYaTDJzt1U8RiYaYFD0LnzvXdBwRSREqGIqIiCSRpteXE2lrxVNSSN6VF5mOIyIiBrgtD/neYVC1H4Ca0i727F3Bnr2vMLx8DmMqL8Hv14UjcY5QqJ2Vb/872dUVTFjyGSyX1ljqtfeNP9D5XA3Drr2JzDHJ0Wa+59B+uvfuAreLnEvONx2nT50r1xPtCpExooCCOZWm40gK8R8pGDpphmFvS9KY4ZakuJxVMLRtO+VmGHZ1NXDo0FpsYlQWVJKpgqGIDBAVDEVERJJEqKGOpjdXAFBwy9VYDr6bW0REhk7eoTDD/GOpDe7iUM0aamvfZdSoC6kYfRFut890PBFaWvZgR8NEejpVLDxKT2s9LXs3gW3jzso2Haffmt+Kr12Yee45eAryDKc5Mdu2E+1Ih18/A8uVXLM4xdl8RVkARJsdVDDUDMPjsqPhRBZPisww3L1nOTYxSnwVFPjKTccRkRSiRsciIiJJwI7FqH3qDxCJEjh7IhmzppqOJCIiDpHpyWNm/hXMLbiePG8p0ViIPXtfZtXq/6S+fgu2bZuOKGmuuWUXANllYw0ncZbajSvAtsmaOBV/aZnpOP0SaWul/b0NAORecaHhNH3r2byD8KE63Bleyi4/y3QcSTE+J84wPFIwjDplDUPbGWsYRo60I7VwpcSNVMFgG3X1mwAYn32u4TQikmo0w1BERCQJtK5bRfeenVg+L4W3XYdl6Q5pERE5VoGvnPMLPkJtcBfb2t+iO9jKjp3PUlQ0EcvS0E/MsO0Y9Q1bAMgdOdlwGucIdTTTsHMtAIULLjGcpv+aV70O0Sj+iZX4x4w0HadPbc/HZ0KWXTENT5bfcBpJNb6CIzMM2zoMJ3mfFYgXw+xwyGiOnLNnEhgxCn9usdEcvexYlKzSStw90ZQYRx88tBrbjlHgLSfPW2I6joikGI0aRUREHC7c2kL9i08DkP/RK/CWFhlOJCIiTmVZFmWBcZT4R7Ozcz05487B5YoP+2w7hm3HEl+LDIXW1n2EQu24vAFyR0w0HccxDm9cAdEoGWPGk1ExxnScfon29NCy7k0Ach2+lnbowGF63tsOLosRH5llOo6kIG9+vLVlrK3TcJL3Wf54wTAWMlswzD/vAgAy9zqjw4E/p5DJS/+WvJ1B01HOWCwW5VDNGgBGZ04znEZEUpFakoqIiDiYbdvUPf1H7J4g/vGjyblsvulIIiKSBNyWl4nZcymvzcBXtR+AAwdXsXrtDxLtIUWGQm/btPyKs3C5VawGCHe10VD9NgBFCy8znKb/Wtetwu7uwVNeQsZ0Z88WbXshPruw+ILxZAzPNxtGUpKvIBOAaHsndswZrTddDikYyuCpb9hMKNSOz5XBMH9y3GwiIslFBUMREREHa9+4ns7tW8DjpvCOjybWgxARETkV3i17Obj7dbq66tnwzs+p2vo44XCX6ViS4mw7Rn39ZgAKxkw3nMY5mne/ix2JEBhVScaY8abj9IsdidDy1qsA5F15kaM/k0Zb2ula9Q4AI2+cbTaMpCxvXrxgSCxGrMvsmoG9emcY2iGzM+kinR2EW5qIhpN/Rp/TFOSPZeyYKxiXNRuX5TYdR0RSkG7vExERcahIRzt1LzwJQN61i/GNGGY4kYiIJCvLcjGv8KNs71jF/u4t1BxeR0PjViaMv5phpdNTYk0fcR7bjjFszmW07t9C7nC1I+0VuHIBI6cMx/J4kubca9u0nkhbK+78HLLmzTQdp0/ty9/CDkfJmVJO3lkjTMeRFOXyuvFk+4l0BIm1deDOzjQd6f2WpIbXMDz8x/+ha+c2Ki/6OEUT5hjNAlC76VVq33uVESWzGDsmeWZ1H4/Pl01lxUJ8XftNRxGRFKWCoYiIiEPVPfsksY4uvKPKybtqkek4IiKS5LwuP2flLmR4YCKb216lI9zMlqrfU3N4PZMnXk9GRqHpiJJiXC4PJVPmUzJFLdWPZlkWmUkysxDAjsVofmMFADmXX4jlde6lpFgwRPuKVQCMusl8oUJSmzc/k0hHkGh7B15KTcfB5XNIS1KH3QcR7mol3NVKLBYxHWVA9LaaFxEZDM79lCciIpLGOqo20fHeO+ByUXTXjVgetRsREZGBUeArZ37RTezufIedXetpad5FJOKMdmoiqSwa6qZ9hI2bLNNRTklndRWh+lqsgJ+cRXNNx+lT51sbiHV0ESjLpfiC5CnKmtKxq5629w4S6QoR7QoR7Y7/t/frjJEFjLr5XALDck1HdSRvfibdB5qJtnWajgIc1ZLU8AxDEjOnbaMxekWC8RbsHo/5WaCnKxLp4b3Nv6G8bBYj7Xwsy7ltoUUkualgKCIi4jDR7m5qn3kcgNwlC/BXqpWSiIgMLJflZlz2bMoC42kOHyInZ3ji74LBNvx+XRyWM9PV1cBB9x4Kus7Gm6mfJ4DDm16h9nevU3L5NeSfd4HpOP2WmF148VxcmQHDaU7Mtm3a/7oSgBHXz8Jy64L6iXTXtLLn0Teoe3lrn9s1r9tL7bMbKVs6g9Efn4uvIHkLLoPBlx8/HrG2DsNJ4iy/FzA/w9A6MsXQtp1SMIwXdL3e5P35PXx4A03N1QTb6hlZdIvpOCKSwlQwFBERcZiGl/5CtL0NT1kxeddfajqOiIiksCxPHlmePKjaT2jKKDo6DrNm3Y8YNXI+Y8dcjsulGe5yeg7XbmD/3hW0H9rOuEvvMB3HuEiwi7qqN7BDQdxZ2abj9Fv3vj10790Fbjc5lzu7yNmzaTvhQ3W4M32UXTnNdBxHCja0s+83q6n9y7tEI/Fizrh5xeSWBvBnefBnufFleQhke/D43Lzz9AF2r2ni4BPrqX/uXUZ8Yh4jPzobl0+XEyE+wxAg6pCCoeuoGYZ2LIblMlQ0d9oMw574DEOvN8NwktNj2zYHDsVbLY/OnJY0a9+KSHLSb3gREREHibS30bphNQCFt1+Py+c1nEhERNKFr2o/LZ0bsO0o+/a/TkvrHs6acgsZGQWmo0mSse0YNYc3AFAwZrrhNM5Qu+kVYsEefMPKyZ5ytuk4/db02ksAZM2fgacgz3CavrU9/zoAZUum4cnyG07jLKGmTvb9djW1z7xDJBQDYNz5xVxx/2SGTz3x6zrrhpHsfKuBF//vNg5ubmX3sjc4/Pxmxt97MYXnjRmq+I7lzYsXoGIdXYaTxFlH1jAEsCORY75OZ+/PMEyudtC9Wlv30NVVj8vlZXhgouk4IpLiVDAUERFxkOa3XoNIBP/40QSmjDMdR0RE0szYrJlkuvN4r/NV2tr2s2bdD5gy6aOUlJxlOpokkaamHQSDLbh9GeRXJE9xbLCEu9up3RIvZhVfcqW5WT+nqKfmIJ3bt4BlkXf1ItNx+hTcc4CeLTvAZTHyo7NNx3EM27Y58Md17P/l64R74oXCitmFXHLvRMaeV3TS77csi/HzSxg3r5h3nj7IC/+xlY6DzWz6hycov/ocJnzx0rSe7eTNibfojXY6pGDoff8yrx2NAGYKhrYd/1lzyjp7ke52AHxJWjA8VLMWgOG+cXhduhlCRAaXCoYiIiIOEe3upmVtfN2V3KsXpfXgW0REzCkLjCXXW8y7rS/SGq5j0+b/YeSI8xk/7ipcLg0h5eQO1awBoGj8HFwedUs4/O5y7HCIwIjRZE1KnuJ77+zCzPPOwVtWYjhN39qefQ2A0sWTCQzTmpkAdjRG9Q+WU/PMRgBGTc/nkvsmMe78olMeZ1iWxcxrRzJl8TBWPFLNW7/eQ81fNpI9YRjDrzlnMOInBU9uvGAY6+g2nOQItyveDtS2sSMRYzGyJk7Bm1eAP9f8+4Ydi5FRUE64pwOfL3naQfcKh7upq98EwMjMqYbTiEg60GhPRETEIVpWr8TuCeIdMYyM6ZNNxxERkTSW6c5lbsH1VHesZnfXOxw4uIrMzFJGjjjfdDRxuFConfrGKgCKJ801nMa8UEcz9VvfBKDo0quS5oawUH0tHVvihaa8ay42nKZv4bpGutbGL6iPuvlcw2mcIdodYsu3nqFp9W4sC67831OZ98nKM/75C2R7ufLLU8ku8vPCf2xl9yPLyZ1aTvZY84UhEzxHZhjGnDLD0LKwvB7sUNhowbBg7gIAsveaX8PQcrmYdM195O0Mmo5yWg7XbiAWi5DjKSLPU2o6joikAWfMDRcREUlzsVCIllXxO6Nzr16UNK2qREQkdbksN5Ny5jE7/yqGlZ7DiOHnmY4kSaDm8HqwY2SVVJBRWG46jnEdtbuxgYzKcWSOnWA6Tr81vf4y2DYZM6fgG1VmOk6f2l94A2I2BedWpm3h6mjBxg7euf93NK3ejcfv4uP/OZv5t40Z0GL1BZ8ey8QFJUSCMaq+/QzR7tCAPXcy8SYKhg6ZYQhYHjfQ25JUkl1GRhH5eZWMzJiaNDeciEhy09VIERERB2jd8DbRzg7cxQVkzU3ftj4iIuI8Jf4KZloX4N96EIBoNMzBQ2sSaxSJHC0U6sRyuSmerNmFAN7Fsxnzha9SuvTGpLnYG25upG3jOgDyli42nKZv0bYOOt+It8Ad9THNLuzc08CGv32Mjuo6sgp93PXo+Uy9dOALvi6XxUcfnEFOqZ+ufU1U/+DlAd9HMnDaDEMAyxtvA21HwsYyRLu7iXZ1ElPR8owVF01i1szPMDojedpZi0hyU0tSERERw+xolOaVrwCQd+VFWG632UAiIiIn4Kvaz7uuNdTUrKWxsYopk2/C680wHUscpPSKGyjovhS31286imN4C4pMRzglTW+sgFiMwFkT8I8dZTpOn9qXv0UsGCFn4jDypzs762Br3rCP7d98kmB7hKKKLG5/5FyKRmcN2v6yCnzc/G8z+cWdq6j962byZ4yi7PL0Kmp4e9cw7OrBjsWc0SXmyAzDmMGWpIceW0b33l2MXXw7BWOmG8sB0LRzPQdWP01p/mQmTbzeaJbT5avaH1+bUkRkCDjgN5mIiEh6a9+0gUhLM67cbLIWzDEdR0REpE9Fndm4LA8NjVtZs+5HtHfUmI4kDuPNyMHl8ZmOYVRPaz31voOmY5yycFsLrRveBiBvqbPXLowFQ7QvfwuIzy5Mlhmcg6Fh5Q42//0f6WmPMHpmAff8z/xBLRb2GjOniMX3TgRg1w9epHNv46Dv00k82fGCIbZNrKvHbJgj3p9haHB2n31k7UIHnJPhrjbCXW1EIsnVNjcWi3Lg4CqCwXbTUUQkzahgKCIiYpAdi9H0+nIAci+/EJfPaziRiIhI30ZmTGFuwfVkuHLo6Wli3fpHqK3baDqWGBYOd1Nb1Go6hmMcWP00+x75D5rfes10lFPS/MYKiETxT6wkMHms6Th96nh9LbGOLgLleRRfmDzrQw609upatv/rM0QjNtOuKOeOn88lM3/oCvYL/2Y8Y88vItwdpepbzxANmmuFOdRcXjfujPj4zSltSS3vkTUMDRYM7SMFQwsHFAy7OwDw+Qa/gD6Qmpt3sL36Kda+/f3E8RQRGQoqGIqIiBgUrDlAqL4WK+AjZ/H5puOIiIj0S563hHlFN1LsG00sFmHzlt9Rc3i96Vhi0MFDq9n8+HfZu/KPpqMY11G7m9Z9m8GyyBo/yXScfou0t9G6Lj5jL+9aZ69daEeitD0XL8aOvHE2ljs9L291H2ph0z88Qbg7yoQLSrjpuzPw+od2eQOX2+Kmf51BdpGfzj0N7P3VW0O6f9N6ZxnGOrsNJ4mzPPHVp4zOMIwdWePYAS1aIz3xGXpeb3IVDGvrNwEwzF+Z1rOnRWTomX/nFhERSWNdO6sBCEwZjyszYDiNiIhI//lcAWbnX8mojKmATXX1M4TDzphhIUMrFotw4OCbAGSXVhhOY5Zt2xxY/TQAubPOw1cyzHCi/mt6fTl2OIJ/fAWBs5w9Y6/zrQ1EG1vwFmRStmSa6ThGhFq62PT3TxBu7qJsYg4f+/eZuD1mLvPlFAe47htnA3Dwj2tpr641ksMET1Z8vdZYT9BwkjjLfaRgbMeMZbBj0XgW19AWr48n3NUGgN+XYzhJ/8ViERrqtwBQFhhvOI2IpBsVDEVERAzq2nWkYDh1nOEkIiIip86yXEzNuYjKzOmcc86n8HozTUcSAw7XvkMo1I43M4+CsTNNxzGqZc9GOuv2Ynl9FF+8xHScfgu3ttCy9sjswo9c5ugZLXYsRuszrwAw6qY5uP3p19I/2h3mva89SffBZvKHZ3D7T84jkGP2OEy5eBjTrignFrXZ9bPkasV7JtxZ8favdrcz1jDkyGxbO2awYBh1UMGwOz7D0OdPnoJhU/MOItEe/K5MCrzlpuOISJpRwVBERMSQWCRC975dAASm6s5BERFJTpZlMTlnPqWH3h9eaqZh+rDtGPv2vw5A6bQFuNwew4nMiUUjHFjzFwAKLliEJzfPcKL+a3rtJYhE8E8aQ2CKs29k61r7HpHaBjw5AYYvnW46zpCzozG2fPsZ2rceJiPPy6d+ch65pc7oVHLFlyZjuaBlwz669jWajjMk3JnxgmGs2xkzDHHFi/1OKBi6nFAw7IoXDJNphmFdXbwdaZl/nKNv3hCR1KSCoYiIiCE9+/dgRyK483LwDi81HUdEROSM+ar2095+iLfefpgDB9JrHat01dhUTVdXPS6vn5JJ80zHMap+y0pC7Y24c3IpvPBi03H6LdzSROv6twHIv8Hhswttm9anVwAw4oaZuDN8hhMNLdu22f6fL9L09i68ARe3/ehcSsZmm46VUDA8k8mL4m14Dz31ruE0Q8OTKBg6Y4ZhYlafwYJh9uRp5JwzC0+G2SKdbccIFAzDn1eCz5drNEt/RaNh6ht625E6++YNEUlN6Xvrn4iIiGG97Uj9U3TnoIiIpI7mrW8TiXSzfcfT2MQYNfIC05FkEO3f/wYAJZPOx+1zxiwnUyIjs3Fvzqb4kitx+fym4/Rb06svQTRKYMo4ApPHmo7Tp56N2wjvr8EV8DLi+vRrf7vnl29y+Pn3sFxw8/dmMXpGgelIHzL3lgqqXq6l4aVNjLnrwpQv6roz4+e67ZQZhg5oSVpyxVIAAnttYxkg3jZ90lWfJ2+nQ16bfujoqCEWi+B3ZZHvLTMdR0TSkAqGIiIihiTWL3R42ycREZFTMS5rNjE7wq6uDVTv+Asul4cRw+eajiWDIBzuoj1YB5aLkqkXmo5jXO6MOWRPmYblTZ4CSaipkdZ3VgPxtQud7OjZhcOXTsebm2E40dCqfWkL+369CoBr//lsplw8zHCi4xt7fjHFlVk07Omk9qWqlG8b6zmyhmGsxxlFKct1pJlcLGo2iJyWvLzRXDj/HwhXbdZNxSJihFqSioiIGBAL9tBzaB8AGVNVMBQRkdRhWRYTsucyJjM++2fb9qc4XPuO2VAyKLzeTM6++R+ZsOQz+HMKTccxqr0ifmHX5Q+8f8E+CTS9+iJEYwSmTSQwodJ0nD4Ft+8muGMvltfNyBtnm44zpLoONLPr+38FYOFnxnPujaMNJzoxl8vivI9VAHDwzxuwbbOzzAabOys+w9ApLUmdMMMwFgwSi0RS/rUfLF5vBvleZ94QICKpL3k+xYqIiKSQrr27IBrDU1KIpyS9L7CJiEjqsSyLidlzGZ0xDbCpqvoj9fVbTMeSAdY6zo/L4yV3+ATTUYzav+pPtG9KvsJIqLGetnfXApB/w6WG05xc69OvAFC+ZBr+Iues2zfYYuEoVQ/+hVBXlMo5hVxy70TTkU5q5nUj8Wa46drTSOvGA6bjDKr31zB02gxDcwXDnf/2z+z45v8m1NFsLANAw7a3efexb7C9+hmjOfordmRWqK9qv+EkIpLOVDAUERExoGun2pGKiEhqsyyLKTkXMjwwCZsYe/a9gm2bu4ApA6ujo8boDBanaK/ZSd3m16n5468JN9abjnNKGle8ALEYGdMn4x/n3BlrAMFd++l5bzu4LEbefK7pOENq509eoWN7LRl5Xm761xm43M5vU5iR62X6NSMAOPTMu4bTDC73kYKh7ZQZhi7zMwztSAQAy+U2lgEg1NVKpLudaCxkNEd/VW39I2vXPUJT6JDpKCKSxlQwFBERGWK2bdO5bTMAgbOdf4ewiIjI6bIsi2m5i5ias4BZM+7GsjQETQXhcBdr3/0Zm5/4N0KdrabjGGPHYuxf9ScA8mafj6+41GygUxA8fIj2TRsAyLvB2WsXArT+6SUAhl0yhYzyPMNphk7ti1s49Od3APjod6aTV5Y86zae+9FRADS/WU2k0xmz7waDO+AFIBZySFGqd907QzOe7Wg0sW+Xx2skQ69wVxsAfl+u0Rz9EY2GaWisoq19Py5drhcRg/QOJCIiMsRC9bWEmxrA4yZjmgqGIiKS2lyWi9GZ03C7zV44lIGzb/8bxMJBXG4v3kznX4gdLA3b36a76RCuQAbFl1xpOs4paXjpWbBtMs87B3/lCNNx+hTcuY/ujdvAZVHxyfNNxxkyHTvq2PF/XgBg0WfHM3lRcq1pNvysPIrHZBEJxmhYucN0nEHjOlIwtINhw0mcIRZ+/zi4DP/eDx+5ocXvd/7vqabmaqLREAFXNnlav1BEDFLBUEREZIh1VL0HQMbU8bgy/IbTiIiIDA1f1X5sO8aevStobKo2HUdOUzjczf6atwAon3k5luX89oiDIRLs4sCG5wAoWnwF7qzkWVOva89OOrdvAZeL/I9cbjrOSbX0zi68bCoZIwoMpxka4bZuNn/jKSLBGBMXlLD4c8l3k6FlWYm2pLUvpe4atm6/BwDbKTMMDbMj7xcMLbfHYJKjZhgmQcGwrj5+jWBYYGza/l4VEWdQwVBERGSIdW49UjCcNdVwEhERkaF1aN2z7Nr9IlVb/0go1Gk6jpyG/QdWEgsHySgsJ7/iLNNxjDm0/gViXZ34SoaRf+4FpuP0m23bNPz1GQCyF52Ht6zYcKK+BXfspWdTfO3CilvTY3ahHY1R9dCz9BxupWBkJjcmybqFxzP9qnjBsHXDPoINHYbTDA6nzTA0XWuyw/HCqeX2Gi98hbqOzDB0eEvSWCxCQ0MVAGX+sYbTiEi6U8FQRERkCEXaWuk5uA8si8wZKhiKiEh6GZ05lSx3PqFQO9u2P4ltaI0lOT3x2YVvAlA+47K0XZMy1NFM/db4cSi56gYst9twov7rqNpEz4G9WD4v+ddeYjrOSbX8aTkAZZefRcbwfLNhhsie/36L5jV78AZcfOL/zCYzz2c60mkrHJXJ6JkF2DbUvbLVdJxB0buGoR1yRsEwwdDv196WpKbXL7RjUSLd8SK102cYNjXvIBoN4ndlku8tMx1HRNJcen66FxERMaRj22YAfGNH4c7PMZxGRERkaLktL9PzLsWy3NQ3bKG2bqPpSHIKDhx8k2ioh0B+GfmVZ5uOY4wvu4CRt99DwYUXkzUueVpF2tEojS89C0DuFQsc/1k0uGMvPe9tx3K7GJ0mswub1+9l369XAXDd18+mfLKzCx39MeNIW9K6l6oMJxkcvS1JY2pJCoDL5yNn2gzyR5udgR4NB8kuH0tmZgleb6bRLCeTaEfqVztSETHPbDNpERGRNNNRtQmATLUjFRGRNJXrLWFc5kx2dK6luvppCgvG4fMlz/pv6awpWgNA+cxL03Z2IUB7hUUmE8gcO8F0lFPS9s4aQg11uLIzyb3qItNxTqrlySNrF15+FhnleYbTDL5IZ5Bt//4CAOfdPJoZS0caTjQwpl1RzjMPbaZjRx2dexrIqnR2G9xT5fK/35LUtm0HFHzi+zc1f9+bX0j5zbeTs9dsBwGPP5NJV32evJ1Bozn6o6RoKtFIkPLoeNNRREQ0w1BERGSoRHt66Nq9A4DMmSoYiohI+hqbNYscTxHhSBfbq58yHUf6adxldzLxqs9TUDnddBQjouEgoc4W0zFOSywUouHl5wHIW7oYV0bAcKK+9VTvoWdzNZbbRcWtc03HGRI7f/IKwbp2CkZmcsUDU0zHGTCZ+T4mLigFoHZ56s0ydAeOzMWIxSAaNRtGklJJyVRmuy+iwFduOoqIiAqGIiIiQ6WrugqiUTxlxXiHl5qOIyIiYozLcjMt92IsXNTVb6at7YDpSNIPlmWRUz4Oy5WelxIOv7uc9574Li1r3zId5ZS1rHqdaHsb7qJ8chY7v71n65/iswvLrjiLQFnqzy5sXLWLw8+9h2XBR759Dv7M1GoIlmhLurwKO5Zaa9f2zjCE+CzDdGfHYtixmOkYWiNZROQ0pdYnEBEREQdr27gegMzZ0wwnERERMS/PW8L0vMsITJpGZmaR6TjSh8am7XD2WDz4TUcxprv5MIffeyV+81dWcrXQjXS007gyXoDL/8jlWF5nXwrqqdpJz+YdWB4Xoz+R+rMLgw0d7Hr4LwDMu20MY+ak3vvhpIWl+DLdBOvaad9+mNzJqTOTyuV1g8uCmE0sHMZFhuFEZgtl7e+9w+E//prcEROZsOQeYzkOrX2Whuo1VJZfyOjRC4zl6Itt2xw8tIqC/HF4HdHOVkREMwxFRESGRKSjnc7qeAue7AtmGU4jIiLiDGWBsSoWOlww2M6mLY/x3h8epKe13nQcI2zbZt+bT0A0StbEqWRNTq6bvxpXvIDdHcRXOYKseTNMx+mTbds0/zG+jl/51eek/OxCOxpj63efo6s5RPnkXC7/4iTTkQaFN+BOtCVtfGuX4TQDz+V1xx+EI2aDQGIGp6niUywUXzPQcntPsuXgCnY0E+luN5rhZDo7a9le/TRr1v2QGOZ/dkREQAVDERGRIdG+cT3EYvjGjlI7UhERkaP4qvYDEA53G04ix7Nn78vEIiECeaX4c4tNxzGiacc6Og7vxPJ6Kb36I0k1CyRYd5jWIy1UCz5+tePbyXa/U0Vo5z5cfk9azC7c99vVtGzYhy/Dzc3fm4nH5zYdadCMnxd//2jdlHotqHsLhnbEAWsY9rYDNXSu26EQAG6vz8j+e4WPrDfrDzj3poOGxq0AFHlG4LbMFlhFRHo5+5OiiIhIimjdsBqA7AtnG04iIiLiLFE7wqbNj7HyrYcIBttMx5GjdHU1cLBmDQAjzr0mqQplAyUS7OLA6qcAKFp0Od6CQsOJTk3DC0+DbZMx+ywCk8aajtMnOxaj5fG/AjDi+pn4i5Kr9eupat18kH2/ehOAa742jZIxqf3vrZgdP3faqmqIhVJrNpXl6S0YOuDfdaRgaOrmgFiwBwCXN2Bk/71CHS0ABPz5RnP0pbFxGwAl/grDSURE3qeCoYiIyCDrqTlIqLYGPG4y555jOo6IiIijuC0PkZYGYrEIBw6uMh1HjrJz1wtgx8gbNZWc8nGm4xhxcM1fiPR04isto2D+ItNxTknnjm3xlvhuNwU3XWk6zkl1vb2R8IHDuLP8jPrYuabjDKpwew9V3/kLsajN9KuHM/PaEaYjDbriyiyyCn3Y4Sjt2w6bjjOgnDTDsLclKcZakh6ZYegxN8PQjsUIdbUC4Pc7c4ZhKNRJa9s+AEr8ow2nERF5nwqGIiIig6ztyOzCzJlTcWdlGk4jIiLiPBWZ8RtqDtWsJhoNG04jAK2t+6hv2AyWxYg5V5mOY4Rt28SGZWO53ZRecyOWO3naRdrRKPXP/xmAnEvOx1vm7HaydiRKy5MvAjDq5jl4czMMJxo8tm2z/T/+SrCuncJRmVz7z2enxexdy7KoPDLLsHXTQcNpBpbloIKh8RmGR9YwdHn9RvYPEO5uBzuGhQu/P8dYjr40NW0HbHI8RWS4nZlRRNKTCoYiIiKDyI5E4usXonakIiIiJ1LqH0PAlU043EVt3bum46Q927bZuet5AIrGzyGjsNxwIjMsy6L40qsYc/8/kVnp7HaeH9S6/m1CdYdxZWWSd90lpuOcVMfra4nUNeLNz2TkR2aZjjOo6l/ZRsPr1bg9Fh/73kz8WR7TkYZMxawjBcP3Uqtg6PIcubzqgJaktt07w9BswdBtsGAYOrJ+oc+fi2XoOJxM7/qFakcqIk7jzHdNERGRFNFZvZVoVyfuvBwC0yaYjiMiIuJILstFRebZAOw/8Ob7FzzFiFgsgqe8HJfXz/BZV5iOY0x7RXzWlycn13CSUxPt7qZx+XMA5N1wqeM7XMRCYVr/vByA0bfOxZ1hrpXhYAu1dLH3x/GZlAvvmcCIaflmAw2xxAzD9w5iR2OG0wwcJ7UkfX+GoZlZq/6yEWRNmII/19ysZsuyyCkfT16eM1t92naMltY9AJT4VDAUEWdJn9uYREREDGh7Zw0AWfNmJlUbKxERkaE2MmMK1V1r6ew8THPLTgoLxpuOlLbcbi8VF9zIiDlX4fE7u9g0GIJtjexc/VtKrrqeQPlI03FOWdNrLxLt6sRTXkLOormm45xU+/K3iLa04S/NYfjVqb3e984fraCrOcSwCTlc9Dfpty5o2aRc/Fkegp0hOnc3kD2+1HSkAfF+S1LzMwwxPMOw8IJFcMEicvaau/Enq2Q0E6/6HHk7g8Yy9MWyXMyb+yU6Nq0m35sa54CIpA7NMBQRERkkkfY2OrZvBiDrwtRurSQiInKmvC4/I/zx2fi1tWpLalLruHgruXQsFtq2zd6Vf6B77y4aXnjGdJxTFqqvpXnV6wAU3nI1lsfZN6xFO7voePZlACpum4fLl7r3tde9so26FVuxXHDDN8/B402/S3Iut8XomQUAtG5Onbakljv+WjphhmFi5qahNQylf9xuHyX+Cse2TBVJZTU1NXzjG99g9uzZFBUVkZmZybhx4/j0pz/Na6+9NqD7amxs5K9//SsPPvggH/3oR6moqMCyrMSfPXv2nPZzv/baa9x7771MmzaNwsJCAoEAo0aNYt68eTzwwAM899xzp/W8qftJTERExLDWtW9BNIZ/QgW+kWWm44iIiDjeqIyzyB49hfz85FovLlWEw11sOvgUwwuvIKMgPT+7NG5fTfuhaiyPh9KlHzUd55TYtk3ds09CNErG9MlkTJ9sOtJJtT39CpH2HjIriyi7/CzTcQZNsL6dPd9/AYCL/mY8I8/ONxvIoJHT8ql+o572bbWmowyY3oIhTminfaRoaaq7jR2LYRkuVtqxKJbL2TdLiIgZf/7zn7njjjtobm4+5v/v2rWLXbt28ctf/pJ77rmHH/3oR7jP8H1006ZNnHPOwHdOOHToEJ/97Gd5+umnP/R3Bw4c4MCBA6xatYqf//zntLS0nPLzq2AoIiIyCGLhMC2rVwKQc8l8w2lERESSQ663mED5KNMx0tau3S/ScmgjofYmJl/3RSzLzBpYpoQ6W9m/9ikAihZfia+oxHCiU9NRtYmundvB46bg1qWm45xUpL6J9uXxz8tj777o/aJLirFjNlv/7Xm628KMOCuPxZ9L73XNR0zLA6B922HDSQZO4mc3Zn5dRjvaWzA0c8l317//C7FgkClL/87YjSdVf/4/hLvbmT75E+TlOWuNwO7uJja+99+UFE9lkj0p7X7Pipi0YsUKbr75ZkKhEABXX3011157LVlZWaxfv55ly5bR2trKT3/6UyzL4pFHHjmj/UWjx846d7vdTJ48mV27dtHd3X1az7lnzx4uueQSdu3aBcCECRO44YYbmDx5Mjk5ObS0tFBVVcXzzz/PoUOHTmsfKhiKiIgMgvZNG4h2duAuzCNzzjTTcURERJKGr2o/oSkqGg61jo7DHKxZDcDIuUvT7iKmbdvse/NxYj09+EeMomDeRaYjnZJYKET9838GIO/KhXhLiwwnOrnmx/+KHY6SP3M0heeNMR1n0Bx4Yh0tG/bhzXBz03dn4E7DVqRHGzktH4DufY1EukJ4Mn1mAw0AyxV/v7Rj5mcY9q6jaHnMXPKN9XRjRyK4POZe11BHE9FQDx5PhrEMJ9LQuJXOzlr8ITdWofNngYukimAwyJ133pkoFv7gBz/gvvvuS/z9rbfeyj333MPChQs5fPgwP/nJT7jppptYvHjxae8zJyeH22+/ndmzZzNnzhxmzJhBZmYmlZWV7N2795SfLxQKce2117Jr1y5cLhf/9m//xhe/+MXjzoR8+OGH2b9//2nlTu9PKSIiIoPAtm2a33oVgJxL5zt+7RgREREn6Yq2sW//GxyqWWs6StqwbZvqnc+CbZNfeTY55eNNRxpyzbvfoXXfZnC7Kbv+Y8ba+Z2upjdeJtLSjLson9xrFpmOc1LB3QfoWvUOAGM/c1HKFqg7dtWzd1l8TckrvzyF4spsw4nMyy72k1cWwLahY3uKtCU9UjB0xAxDgy1JY+FwomDp9pkp1kWC3URDPQAEAvlGMvSlsXEbACV+Z818FEl1v/jFLxLrBS5duvSYYmGviRMn8qMf/Sjx9de+9rUz2ue4ceP45S9/yRe+8AXmz59PZuaZrQ3+4IMPsmnTJgAeeughvvSlL/XZNnXUqNO7AVMFQxERkQHWvauaUG0Nlt9H9sJzTccRERFJKq3hOnbsfJYDB1eZjpI2Ghu30dy8A8vlZuS5zm9lORiad70DQOGCS/APG242zCkKNTXS9MbLABTccjUuv7NnbNm2TfPvngWg9JIp5EwYZjjR4IiFImx98Fmi4RiTF5Vy7k2jTUdyjN41HFOlLWlizT4HFAxNrmEYC/YkHru9/iHfP8RnFwJ4vVm43c56L4xEgjS3xNsIqmAoMrR++9vfJh7ff//9J9zu+uuvp7KyEoC33nrrtGYCDobu7m6+//3vA1BZWckDDzwwaPtSwVBERGSANb8Zn12YfeFs3FlndgeRiIhIuinwlgPQ0VFDJNJzkq3lTMViEXbsPFK8mXYR/lznt7IcDCV3fJphN9xC0UWXmo5yyuqf/xNEIgTOGp8UrfC7391GcOsuLK+bMXdeaDrOoNm17A069zSQVejj+n85J2VnUZ6OEUfakqZOwdCBLUkNrGEY64mvyeXyBt4vog6xUHu8YJgRKDCy/740t+zEtqNkuHPJcuebjiOSNtrb23njjTeAeJvQBQsWnHBbl8vFkiVLEl8/99xzg56vP5544gmam5uBePtU1yC+x6pgKCIiMoBC9bV0VleBZZFz+QWm44iIiCSdgDuLDHcuYNPaus90nJRXc3g9Xd0NeALZlE9PvmLZQGivsLBcLvJmnmds3a/T1bF9C51bN4PbReGt1zq+KGVHo7T8Pl6gHnHDTALDcg0nGhytWw5x6Il1AHzkW+eQXWRmtpVTjZiWB0D79hQpGLrVkhQgeqRg6DHUjhQg2BG/oO7odqS+Cse/V4ukki1bthA78v48c+bMPtt4Apx77vudwnpbgJr26quvJh7PnTuXWCzGo48+ysUXX0xJSQmBQIBRo0bx0Y9+lMcffxzbPv0bWJLrk7CIiIjDNa+Kr1GSMWMy3mHFhtOIiIgkpwJvOd3RNlpa91BUNNF0nJSWOX8eI/NjeDKycfsCpuMMqUiwm7rNr5JVfgkun7Na1/VHLBym/i9PApB72QV4h5caTnRyHa+vI3yoDk9OgIpPzDUdZ1DEwlG2P/xXbBtmXjeSSQtTs+XqmRgxNV4w7DncRqilC19+kndlSbQkdcIMwyMFQwM3P8R64l0BTP4u6W1JGnDYDEPbtmlIrF+o9sQiQ2nbtm2Jx2PGjDnp9kdvc/T3mrR27ftru+fk5LBw4cLErMleBw4c4MCBAzzxxBMsWrSIP/7xjxQVnXrnkLQvGPZWW4/usy0iInK63Nk5WDlZZC88j1i3freIyMn1vlecyV2Akpp6fyYisZDhJEMv31tKu7cDrzdLbUkHmR31UzwpXriJhtLrWEd6Omhp2UXLY3sYfssdpuOcslh3J54xw4jGQuRcfmFyfPb0evAWZjHyhplgWUQ6g6YTDbhIZ5DKCR72tHlZ/PkJ9HSETUdyHgsq5xTgz/YSaurE5R362XADKXNUAfkzRmFlBYyfh/5Jldg9IbBtoj1DnMWyyBg7gUx3gbHfJ96MXLKHjSUjo9hRnx8ikRD5eWNoa9xJrqc46T7b9ebVeGXoRewQmJ+83G8RO/6z0tbWdsz/9/v9+P1mZtu3tLQkHhcXn/zG/qOLbEd/r0k1NTWJx5/97GfZtm0bOTk53HXXXcyZMwfbtlm1ahWPPvooXV1dvPLKKyxZsoSVK1fiO8Wb4iw7zc/0Xbt2MW7cONMxRERERCTN7dy5k7Fjx5qOIQ6isYqIiIiIOIXGK0Onp6eHMWPGcPhw8rVuzs7OpqOj45j/9/Wvf51vfOMbRvI8+OCD/OM//iMA//iP/8i3v/3tPrevrq5m4sR4h5OJEycO+CzDyspK9u7dC8Du3buprKw86fcEAgGCwfdvsqqsrGTFihUf+t5t27Zx8cUXJwqMDz30EF/96ldPKV/azzAsLCwEYN++feTl5RlOI6eqra2NUaNGsX//fnJzU3Ptg1Sn1zD56TVMfnoNk5tev+TX2trK6NGjE59LRXpprJL89B6d/PQaJje9fslPr2Hy02uY/DReGXqBQIDdu3cTCiXXbFSIz0T94DqdJ5tduGjRomPW6TsTv/nNb7jlllsG5LmcIvaBNXKXLVt23ELjpEmT+MlPfsJ1110HwPe//30VDE+V60if8by8PP3SSmK5ubl6/ZKcXsPkp9cw+ek1TG56/ZJf7+dSkV4aq6QOvUcnP72GyU2vX/LTa5j89BomP41XhlYgECAQSK/1pQdDdnZ24nFPP1o1d3d3Jx7n5OQMSqZTlZOTQ1NTfI3WCRMmsHjx4hNuu3TpUoYPH86hQ4eoqamhqqqKKVOm9HtfaV8wFBERERERERERERERkaF34403MmPGjAF5rkmTJh3zdX5+fuJxQ0PDSb+/sbHxuN9rUkFBQaJgOHv27D63tSyLWbNmcejQISDeSlgFQxEREREREREREREREXG0++67b9Ce++gC4u7du0+6/dHbfLD4aMrkyZPZuXMnQL+Wqjh6m7a2tlPaV9rPI/b7/Xz9618/aR9dcSa9fslPr2Hy02uY/PQaJje9fslPr6GciH42kp9ew+Sn1zC56fVLfnoNk59ew+Sn11CS2dSpUxPtdDds2EA0Gu1z+zVr1iQeT5s2bVCz9df06dMTj1tbW0+6/dHb9KfAeDTLtm37lL5DRERERERERERERERExOEuuugiXn/9dQBeeeUVFi5ceNztYrEY48ePT8wy3L17N5WVlQOapbKykr17957S869cuZILL7wQiK9huH379hNua9s2I0eOTLQkra6uZvz48f3Ol/YzDEVERERERERERERERCT13HLLLYnHDz/88Am3+9Of/pQoFp5//vkDXiw8XfPnz2fMmDFAvAD48ssvn3Dbp59+OlEsHD9+/CkVC0EFQxEREREREREREREREUlBd955J6NHjwbiBbUf/ehHH9qmurqae++9N/H1t771rRM+X2VlJZZlYVkWr7zyyoDn/SDLsvjOd76T+Pquu+5iz549H9pu+/btfO5zn0t8/ZWvfOWU9+U5rYQiIiIiIiIiIiIiIiIiDhYIBFi2bBlXXXUV4XCY++67j+eff55rr72WrKws1q9fz89//vPE2n933303l1566Rnvd9myZYkZi71aWloSjx9++OEPrTH47W9/+7jP9fGPf5ynnnqK3/72t+zZs4dzzjmHv/mbv2HOnDnYts2qVav4xS9+QVdXFwBLly7lrrvuOuXMWsNQREREREREREREREREUtaTTz7JnXfeeUzR7oPuvvtuHnnkEdxu9wm3OXodwhUrVrBo0aLjbrdo0SJeffXVU8rYV7kuHA7z2c9+ll/84hd9Psftt9/OT3/6UwKBwCntG1K8JWnvtNBT/XMm00hfeeWVU9rXpz/96QH796Yi08ezpqaGb3zjG8yePZuioiIyMzMZN24cn/70p3nttdcGdF+pauPGjfz7v/87N9xwAxMmTCArKwufz8ewYcO4+OKL+c53vkNNTc2A7c/0z0yyeeqpp7jpppuorKwkEAhQWlrK/Pnz+d73vkdbW1vK7DPVtLe38/jjj3Pfffcxf/58SkpK8Hq95ObmMnnyZG6//Xaef/75Pj9knIpFixad0nl1vLYI8j6Tx1Pn35n7xje+cVqfL080gOgPnYOpS+OV5Gb6WGqsMjA0XnEujVWSk8YqyU/jleSm8YrIid1www1s2bKFf/qnf2LGjBnk5+cTCAQYM2YMt912G6+88go/+9nP+iwWmuT1elm2bBmvv/46d955J+PHjyczM5PMzEzGjx/PHXfcwcqVK/nlL395WsVCAOwUBpzyH8uy7D179pz2PlesWHFK+/vUpz41cP/gFGTyeP7pT3+yCwoK+tzfPffcY0cikQHbZyppbm62J0yY0K/XLTMz0/7hD384IPvVOdg/7e3t9rXXXtvnsRk1apT91ltvJfU+U9HDDz9sBwKBfv18L1iwwN67d+8Z73PhwoWndF7t3r37zP+hKczE8dT5N3C+/vWvn9ZnzDvuuOO096lzMHWdzs+SxivOobFKctN4xbk0VkleGqukBo1XkpvGKyJyJlJ6DcMnn3yyX9v9/ve/5ze/+Q0AixcvpqKiYkD2/7GPfYxbbrmlz216F9uUkxvK47lixQpuvvlmQqEQAFdfffUxPY2XLVtGa2srP/3pT7Esi0ceeWRA9ptKenp6qK6uBsDtdrNgwQIWLFjA2LFjycrKYu/evfzhD39g9erVdHV1cd9999Hd3c0DDzwwYBl0Dh5fNBrlpptu4vnnnwdg2LBh3H333UydOpWmpiZ+85vfsHLlSvbv389VV13FypUrmTJlStLtM1Vt376dnp4eAEaMGMGll17K7NmzKS0tpaenh1WrVvHrX/+ajo4OXn/9dRYtWsSqVasoLS0dkP3353frQO0rHQzF8dT5N7BuueUWZsyYcdLtwuEwn/zkJxOfJe68884B2b/OwdSi8Urq0Fgl+Wi84kwaqyQ3jVVSj8YryUfjFRE5I6Yrlk4wffr0xB0Ojz322Bk919F3C379618fmIBpzMTx7OnpsSsrKxP7/cEPfvChbbZt22aXlZUltlm+fPmQZEsmNTU1dlFRkf3tb3/bPnTo0Am3e+ihhxLH0efz2dXV1We0X52DJ/eTn/wkcYymTp1qHz58+EPbfOlLXzrmzs9k3Geq+uxnP2tffvnl9l//+lc7Go0ed5s9e/bYkyZNGpA7BW372LsF5cwN9fHU+WfGE088kTimkyZNOqPn0jkoGq84k8YqyU3jFWfSWCW5aaySGjReSQ8ar4jI8aT9Wbx27drEG1pBQYHd3d19Rs+nD/8Dy8Tx/PGPf5zY59KlS0+43eOPP57Ybt68eUOSLZmEQiG7vb29X9tef/31A/Y66xzsWyQSscvLyxPHaN26dSfcbsaMGYntXnjhhaTaZyprbGzs13bvvPNO4lhmZmbanZ2dp71PffgfWEN5PHX+mXPNNdckjud3v/vdM3ounYPpTeMV59JYJblpvOI8GqskP41VUoPGK+lB4xUROR4XaW7ZsmWJx7feeuvpLwYpKeO3v/1t4vH9999/wu2uv/56KisrAXjrrbfYu3fvYEdLKl6vl+zs7H5t+7GPfSzxeOPGjYMVSYDXXnuNmpoaABYuXMisWbOOu53b7eYLX/hC4uveNmjJss9UVlhY2K/tpk+fzqRJkwDo6upix44dgxlLHErnnxk1NTU899xzAHg8Hm6//XbDiSSZabwiR9NYZeBovOI8GqskP41V5FTpHDRD4xUROZG0Lhj29PQc8wvmrrvuMphGnKC9vZ033ngDgJycHBYsWHDCbV0uF0uWLEl83fuLVk5dbm5u4nF3d7fBJKnv6J/Tq666qs9tr7zyyuN+XzLsU+J0bonOPzN++ctfEo1GgfjaYmVlZYYTSbLSeEWOprGKOfpMNTQ0VkkvOq8EdA6aovGKiJxIWhcMn3jiCVpaWgCYNWtWvxaEPRWPP/44M2bMIDc3l0AgwPDhw7n88sv53ve+R1NT04DuKx0MxfHcsmULsVgMgJkzZ+J2u/vc/txzz0083rRp04BkSEdHH7uKiooBe16dgx929LE++uf3eMrKyhg1ahQAtbW11NfXJ80+BUKhENu3b098PVDn1jXXXMOIESPw+XwUFBRw1llncffdd7NixYoBef50M9jHU+efGY8++mji8UAXeHQOpheNV5KHxiqpTeOVoaGxSvrQWCV5aLySmjReEZETMt0T1aTFixcn+iv/6Ec/GpDnPHo9gr7+ZGdn28uWLRuQfaayoT6ev/zlLxPP+alPfeqk27/88suJ7S+55JIz3n86CoVC9oQJExLH8amnnjqj59M52LcxY8YkjsHu3btPuv1FF12U2P71119Pmn2KbT/66KOJ4zhr1qwzeq6j1yPo68/ixYvtQ4cODdC/IHUN5fHU+Tf0XnvttcQxLC8vtyORyBk/p87B9KXxirNprJIeNF4ZOhqrpA+NVZxN45XUpvGKiPTFQ5ras2dP4s6GQCDAJz7xiQF7bsuymDVrFosWLWLKlCnk5eXR0dHBxo0b+f3vf8/Bgwfp6Ojgrrvuoq6ujq9+9asDtu9UNJTHs/cOboDi4uKTbl9UVHTc75X+e+ihh6iurgZgxowZXH311Wf8nDoHT8zEz7jOq6FXX1/PV77ylcTXX/va1874OQsKCrjsssuYM2cOI0aMwO12c/DgQZYvX85zzz2Hbdu8/PLLzJs3j1WrVqmlyUkM1fHU+Tf0fvGLXyQef+pTnzrpDKD+0jmYfjReSQ4aq6Q+jVeGjsYq6UFjleSg8Urq0nhFRPpkslpp0j//8z8n7m649dZbB+x5Dx06ZG/btu2Efx8MBu0vfvGLiX1blmW/9dZbA7b/VDPUx/M73/lO4rn+8R//8aTbb9++PbH9xIkTT3u/6eqZZ56xXS6XDdher9devXr1GT+nzsG+eb3exL89HA6fdPtPfOITie0fe+yxpNlnOgsGg/aCBQsSx/D6668/4+d888037WAweMK/X7NmjT169OjEPq+88soz3mcqG8rjqfNvaLW1tdlZWVmJY7h9+/YBeV6dg+lJ4xXn01gl9Wm8MrQ0Vkl9GqskB41XUpfGKyJyMkbXMFy0aBGWZQ3In9/+9rf93m8sFuO//uu/El/feeedA/ZvKi8vZ+LEiSf8e5/Px3/+539y2223AWDbNt/61rcGbP9DbbBfw3Q7nkPN1DkIsHbtWj7+8Y8n1mF5+OGHT9qvvj/0MyPpLBaLceedd/L6668DMG7cuGPuHjxd8+bNw+fznfDv58yZw/PPP4/f7wfiC9CvWbPmjPebqnQ8U9fvfvc7Ojs7AViwYAETJkwYkOfVz4w5Gq8k92cljVWSn8Yr+rmR1KGxSvLQMU1dGq+IyMkYLRia8tJLL7Fv3z4AxowZw8UXXzzkGR588EEsywJg+fLldHd3D3mGVDJQxzM7OzvxuKen56TbH72fnJyc09pnOtq4cSNXXHEF7e3tAPzTP/0Tf/u3fzukGdL1HDTxM67zamjYts1nP/tZ/ud//geA0aNH89JLL1FQUDAk+58yZUriwhbAM888MyT7TVUDdTx1/g2toy963XXXXUO6b52DqUXjldSisUry0XjFDI1VUpfGKqlH45XkpPGKiJyM0TUMb7zxRmbMmDEgzzVp0qR+b3v0m+Odd96Z+BA+lEaOHMn48eOprq4mGAyye/dupk6dOuQ5zpSp1/CDBup45ufnJx43NDScdPvGxsbjfm+yMPH6bdq0iUsuuYSmpiYA/v7v/55vfvObA5LhVKTKOXiq8vPzaW5uBuI/40d/OD+egfgZN7HPdGPbNp///Of5f//v/wHxn++XX36ZysrKIc1x8cUX8/Of/xyAqqqqId13KhqI46nzb+hs3bqVt956C4Dc3FxuuummIc+gc3DgabyS3J+VNFZJ/vd0jVeS+xw8VRqrpCaNVVKXxivJReMVEekPowXD++67b8j32dTUxJ/+9CcAXC4Xn/70p4c8Q6+SkpLE4unJulCvidfwRAbieB49iNy9e/dJtz96mzO5iGDKUL9+vYPv3gscX/nKV3jwwQeHNMPRUuEcPFWTJk1K/Nzu3r37pIO0gfgZN7HPdGLbNvfeey8/+clPABgxYgQrVqxg3LhxQ56lpKQk8ThdzqnBNBDHU+ff0Fm2bFni8S233EJmZuaQZ9A5OPA0Xknuz0oaqyT/e7rGK8l9Dp4qjVVSj8YqqU3jleSi8YqI9EfatST9n//5H4LBIABXXHEFI0eONJbl6LtCdVfMmRuI4zl16lRcrvhpsWHDBqLRaJ/bH91ve9q0aae1z3TRO/iur68H4IEHHuBf//VfjWZKx3Pw7LPPTjw+Wb/42tpa9u/fD0BpaekxH+ycvs900TsAf+SRRwAYPnw4K1asYPz48UbypOM5NZgG4njq/BsakUiE//7v/058PdTtfXrpHEwNGq+kJo1VnE/jFfM0VkktGqukPo1XkofGKyLSX2lXMDTZq/loBw8eTNwp6Pf7h7wVQ6oZqOOZk5PDBRdcAEB7eztvvPHGCbeNxWK88MILia+vvPLK09pnOvjg4Pv+++/ne9/7ntFM6XoOLlmyJPH4ueee63PbZ599NvH4qquuSqp9poMPDsDLy8tZsWLFgC1afjpWrFiReKy7Pc/cQBxPnX9D4y9/+Qu1tbVA/KL8eeedZySHzsHUoPFK6tFYxfk0XnEGjVVSh8Yq6UHjleSh8YqI9JudRtatW2cDNmCXlJTYoVDIWJY77rgjkWXJkiXGcqSKgTyeP/rRjxLPtXTp0hNu9/jjjye2O//8889on6nsvffes0tKShLH6n/9r/9lOpJt2+l7DkYiEbusrCzxb1+3bt0Jt5sxY0Ziu+effz6p9pkOPv/5zyeOVVlZmb1161ajebZt22YHAoFEplWrVhnNk+wG6njq/BsaS5cuTRy7//zP/zSSQedgatB4JTVprOJsGq84h8YqqUNjldSn8Upy0XhFRPorrQqG9957b+JN6f777z/l76+oqEh8/4oVKz7099XV1fZ3v/tdu7W19YTPEQqF7C9/+cuJ5wHslStXnnKWdDAYx/Nkr6Ft23Z3d7c9evToxHY//OEPP7TN9u3bj/lA8+KLL57yvy8dbN682S4tLR2wwbfOwYHx4x//OPFvP+uss+za2toPbfPAAw8ktrngggtO+FyPPvpoYruFCxcOyT7Ftu+7774BGYD35/X7v//3/570HFm/fr1dWVmZeK7LL7/8tPKkg4E8njr/nKGmpsb2eDw2YPt8Pru+vr7f36tzUD5I45XkobFKatB4xXk0Vkl+GqskN41XUo/GKyJyKjykiZ6eHh577LHE14PR3qejo4OvfOUr/PM//zOLFy/m3HPPZcyYMeTk5NDR0cGmTZv4/e9/n+i3DfCd73yH+fPnD3iWVGDqeAYCAZYtW8ZVV11FOBzmvvvu4/nnn+faa68lKyuL9evX8/Of/5zW1lYA7r77bi699NIz2mcqOnDgAIsXL6aurg6AmTNnctFFF/GnP/2pz+/LzMzk8ssvP6196hzsn7vvvpsnn3ySF198kc2bNzN9+nTuvvtupk6dSlNTE7/5zW8SLa7y8/P56U9/mpT7TFVf+9rX+OEPfwiAZVn83d/9HVVVVVRVVfX5fbNmzWL06NGnvL+XX36Zv/u7v2PcuHFceumlTJs2jaKiItxuN4cOHWL58uU8++yzxGIxACoqKnj00UdP/R+WJkwcT51/g+tXv/oVkUgEgOuuu47i4uIBfX6dg+lD45XkorFK8tN4xZk0VkluGqskP41XUo/GKyJySkxXLIfKY489lriL4XRbspzsbsENGzYccxdgX39yc3PtZcuWneG/KrUNxvHsz127vZ544gk7Pz+/z/3efffddiQSGaB/cWpZsWJFv1+/o/9UVFSc8Dl1Dg6ctrY2+5prrunzGI0cOfKkd4n1947Bgdxnulu4cOFpnVuPPvroh56rP6/fdddd1+99XHHFFfbBgwcH9wAkuYE8njr/nGHSpEmJY3iqrZF0DsrRNF5JLhqrJD+NV5xLY5XkpbFK8tN4JfVovCIipyJtZhj+4he/SDy+8847B2UfU6ZM4fnnn+ftt9/m7bffZs+ePTQ0NNDc3Izf76e4uJjp06dz2WWXcdttt5GbmzsoOVKF6eN5ww03cP755/PII4/w9NNPs2fPHnp6eigvL+fCCy/krrvuYuHChQO6Tzkzpn9mkklOTg5PP/00f/7zn/nVr37FmjVrqKurIycnh3HjxvGRj3yEe+65h7y8vKTep5y5hx9+mKVLl/L222/z7rvvUldXR0NDA8FgkLy8PCorK5k3bx633norc+fONR3X8UwdT51/g2PlypVs27YNgFGjRnHZZZcN+D50DqYPjVeSi+ljqbFKcjL9c5MsNFaR/tLnpIGn8Upq0XhFRE6VZdu2bTqEiIiIiIiIiIiIiIiIiJjhMh1ARERERERERERERERERMxRwVBEREREREREREREREQkjalgKCIiIiIiIiIiIiIiIpLGVDAUERERERERERERERERSWMqGIqIiIiIiIiIiIiIiIikMRUMRURERERERERERERERNKYCoYiIiIiIiIiIiIiIiIiaUwFQxEREREREREREREREZE0poKhiIiIiIiIiIiIiIiISBpTwVBEREREREREREREREQkjalgKCIiIiIiIiIiIiIiIpLGVDAUERERERERERERERERSWMqGIqIiIiIiIiIhLDC6gAABOJJREFUiIiIiIikMRUMRURERERERERERERERNKYCoYiIiIiIiIiIiIiIiIiaUwFQxEREREREREREREREZE0poKhiIiIiIiIiIgkrbfffhuv14tlWZSUlFBTU3PCbXt6epg+fTqWZWFZFr/61a+GMKmIiIiIc6lgKCIiIiIiIiIiSWvu3Ll861vfAqChoYFPfvKTxGKx4277pS99iY0bNwLwyU9+kttvv33IcoqIiIg4mWXbtm06hIiIiIiIiIiIyOmybZvLL7+cl156CYDvfOc7/MM//MMx2zz55JN85CMfAWD8+PGsX7+enJycIc8qIiIi4kQqGIqIiIiIiIiISNI7fPgw06dPp66uDo/Hw2uvvca8efMA2LdvHzNmzKC5uRmfz8ebb77J7NmzDScWERERcQ61JBURERERERERkaRXVlbGL3/5SyzLIhKJ8IlPfILW1lai0Si33norzc3NADz44IMqFoqIiIh8gGYYioiIiIiIiIhIynjggQd4+OGHAbj55puZOHEi3/72twFYsmQJzz77LJZlmYwoIiIi4jgqGIqIiIiIiIiISMoIh8PMnz+ftWvXHvP/y8rKePfddyktLTWUTERERMS51JJURERERERERERShtfr5Te/+Q05OTmJ/2dZFv/93/+tYqGIiIjICahgKCIiIiIiIiIiKaW0tJTCwsLE1yNHjuSCCy4wmEhERETE2VQwFBERERERERGRlPKZz3yGvXv3Jr7ev38/X/ziF80FEhEREXE4FQxFRERERERERCRlLFu2jN/97ncATJ8+nfHjxwPws5/9jMcff9xkNBERERHHsmzbtk2HEBEREREREREROVNbt25l9uzZdHV1kZmZybp16+jo6GD+/PmEw2EKCgp45513GD16tOmoIiIiIo6iGYYiIiIiIiIiIpL0gsEgt9xyC11dXQD84Ac/YPLkycyZM4eHHnoIgObmZm699Vai0ajJqCIiIiKOo4KhiIiIiIiIiIgkvQceeIB3330XgFtuuYU777wz8Xf3338/S5YsAeCNN97gm9/8ppGMIiIiIk6llqQiIiIiIiIiIpLUnnrqKa677joAxowZw4YNG8jLyztmm7q6OqZPn87hw4dxu928/PLLXHTRRSbiioiIiDiOCoYiIiIiIiIiIpK0Dh48yPTp02lsbMTj8fDGG28wd+7c42774osvcsUVV2DbNqNGjeLdd9+loKBgiBOLiIiIOI9akoqIiIiIiIiISFKKxWLceuutNDY2AvDNb37zhMVCgMsuu4wvf/nLAOzfv5+77rprSHKKiIiIOJ1mGIqIiIiIiIiIiIiIiIikMc0wFBEREREREREREREREUljKhiKiIiIiIiIiIiIiIiIpDEVDEVERERERERERERERETSmAqGIiIiIiIiIiIiIiIiImlMBUMRERERERERERERERGRNKaCoYiIiIiIiIiIiIiIiEgaU8FQREREREREREREREREJI2pYCgiIiIiIiIiIiIiIiKSxlQwFBEREREREREREREREUljKhiKiIiIiIiIiIiIiIiIpDEVDEVERERERERERERERETSmAqGIiIiIiIiIiIiIiIiImlMBUMRERERERERERERERGRNKaCoYiIiIiIiIiIiIiIiEgaU8FQREREREREREREREREJI39f6MfEA3SAPLwAAAAAElFTkSuQmCC", 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ycvJZ+5yZ/XKPDa1nD4aIiAiuueYa/3Zr05Ke2TC88cYbMRqNQcl2pktZ47GhoaHFtlajN4UQQoj2wKB1ACGEEEIIIYQQQoj2ZMGCBWzZsiUgx/7yyy9JTU1ts+MNGjSoxfaJEycYPHhwi/tSUlKIiIigtrbWv8/FOnPf3r17X37QcxzjYrM4nU4KCgrOm0Wn09GjRw/27dt3Scf++r49e/ZEpzv7GvzevXvz2WefAc3NWafTidlsvqRjnyt7sCxcuJB33nkHgG3btnHs2DF69OgBwJYtWzh+/HiLfbVQWlp60fuWlZW12I6Ojm7rOEIIIUSHIQ1DIYQQQgghhBBCiEtQUFBwSc2mS+F2u9v0eF9vWHm93lb3GzBgABs2bABg06ZNF3Xs/Px88vPzWxzjm4qJiSE1NdXf/LvYLNu2bcPj8Vwwy8CBA/0Nwx07duDxeDAYzn96zO12t1i373zHPs3j8bB9+3bGjRt3wexnfo2pqamaNrVmzZpFTEwMlZWVQPMow8cff9x/+7TMzMyL+toC4cCBAxe97/79+1ts9+zZs63jCCGEEB2GTEkqhBBCCCGEEEII0UFlZ2e32E5MTGx1v6uuusp/+/jx4+Tk5Fzw2KdH053WVuvZnZll06ZNOByOS8qiKEqLY5zr2A0NDaxfv/6Cx16/fn2LaTDP9XXOnDnznJnOpb6+vkXDUIs1Ac9kNBq58cYb/dunm4Rer5e33nrLf/+tt96KoihBzwdQWVnZooF7PitXrvTf7tatm4wwFEIIIc5DGoZCCCGEEEIIIYQQl2DNmjWoqhqQf1lZWW2a9d133/XfNhgMLUbBnen6669vsf3iiy9e8Nj/+te//LcTEhIYPXr05YU8TxaHw8Ebb7xx3v29Xi8vvfSSf3vYsGHnnNb16quvbjGi8FK/TqPReM6mXlpaGsOHD/dv/+c//znniM7TlixZ0mKdvdmzZ18wT6CdOdXo8ePH2bp1K6tWraKkpKTVfbRw5s/kXPLy8lo0bc9cn1EIIYQQZ5OGoRBCCCGEEEIIIUSIa2xsxOfzXdJj3nzzTVatWuXfnjJlyjlHWPXr148pU6b4t59++mlOnTp1zmMvXbrUP4UpwPe+971W1/U7bfHixSiK4v93vhGMM2bM8K+bB/CLX/zCv75ia/7yl7+0yHr//fefc9+oqCgWLVrk316yZAnbtm075/7btm1jyZIl/u1FixYRFRV1zv2///3v+2+fOnWKp59++pz71tbW+qf7hObpMr8+SvHrsrKy/N/Dtm4unzZu3LgWx37ttddaTEc6ePBg+vbtG5DaF+uf//wnu3btOu8+P/zhD3G5XP7tu+66K9CxhBBCiHZNGoZCCCGEEEIIIYQQIW7Lli0MHDiQV155hfr6+vPu29TUxG9+85sWjTGdTseTTz553sed+fn6+nquu+46ioqKztpv3bp13H333f7t+Ph4fvjDH17sl3JBBoOBX/7yl/7t/Px85syZ02rTcOnSpTzyyCP+7b59+7JgwYLzHv+xxx7DZDIBzaMT582bx6FDh87a7+DBg8ydO9c/StBkMvHYY4+d99gLFy5s0Ux7+OGHW4zyPK22tpYbbrjBv1YjwC9/+Uv0ev15jx8MiqJw6623+reXLFnCsmXL/Ntajy7U6XR4PB6uueaaVqcmdblc3H///SxdutR/34IFC9pkjU0hhBCiIzv/qs5CCCGEEEIIIYQQIiQcOHCA2267DavVypgxYxgyZAhpaWlERkbi8XgoKytjz549rFixgpqamhaP/cMf/tBiuszWjB49mkceeYRf//rXAOzZs4devXqxaNEiBgwYQFNTE2vXruX999/3j3bU6/W88sor2O32Nv1a58+fz8cff8yrr74KwOeff0737t257bbb6NWrF9XV1axcubLFCEq73c7rr79+3pGOAJmZmTz77LPcc889QPNIwCFDhjB//nz/9+j0yMIzR6g999xzZGRknPfYOp2O1157jfHjx+NwOHA6ncydO5fp06czbdo0IiIiOHLkCP/9738pLy/3P27RokXcfPPNl/ZNCqCFCxf6G8ilpaX++3U6HbfccotWsQCYM2cO+/fv5/Dhw4wePZrrrruOCRMmYLfbOXnyJG+++SYnT57075+amsof//hHDRMLIYQQ7YM0DIUQQgghhBBCCCHakcbGRr744gu++OKLC+4bGRnJn//8Z+64446LOvYTTzxBRUUF//jHPwCoq6vjueeea3Vfs9nMP/7xD2bMmHHx4S/Biy++SG1tLR988AEAZWVl52z8REVF8cYbbzBo0KCLOvbdd99NSUkJjz76KD6fD6fTycsvv8zLL7981r46nY4nnnjioqe0HDx4MO+88w7z58/3N25XrlzJypUrW93/uuuu45///OcFj+vxeKioqGhRJ1D69OnDkCFDzpr2c8qUKaSkpASs7sWw2Wy8/fbbTJ8+naKiIt59991WR3FC89qaK1euJDExMcgphRBCiPZHpiQVQgghhBBCCCGECHEDBw7kN7/5DRMnTsRisVxw//T0dB555BEOHz580c1CaJ6O8u9//zvvvvvuOadw1Ol0TJs2je3bt7N48eKLPvalMpvNvP/++zz//PN07dq11X1MJhNz585lz549F1z/7+seeeQRVq9ezejRo8+5z5gxY1i9ejUPP/zwJR175syZ7N27l7lz5/qnP/26rl278vzzz/P+++9jNpsveMzt27e3mI725z//+SVlulStTT16oeleg6V///7s3LmTuXPnYjCcPR7CYDAwf/589u3bp/l6i0IIIS7eBx98wI033khWVhYWi4WEhATGjh3L73//+/OuZxyqNVevXo1Opwv4+sNtRVFVVdU6hBBCCCGEEEIIIYS4OG63mwMHDnDs2DEKCwupr6/HYDAQGRlJUlISQ4YMITMzs01q7du3j71791JYWIjJZCI1NZWxY8dqMsps69atHD58mKKiImw2G2lpaUycOJGYmJhvfOwTJ06wbds2/5qCqampjBgxgm7dun3jY1dWVrJ27Vry8/NxOBwkJyfTu3dvRo4ceUnH+e1vf8tDDz0EwDXXXMOHH374jbO1F4sXL/aP/rz99tt56aWX/J8rKSlh/fr15OXl4fF4SEtL44orriAhIUGjtEIIIS5VfX09CxYs8M8q0Jr09HTeeuut817oE0o1GxoaGDBgQItpsjMzM8nJybmcuEEhDUMhhBBCCCGEEEIIIULczJkzWbFiBdDcPB0xYoTGiYLnfA1DIYQQ7ZvX6+Waa65h+fLlACQmJnLPPffQt29fKisreeONN9iwYQMA0dHRbNiwgT59+oR8zR/84Ac888wz2Gw2HA4HEPoNQ5mSVAghhBBCCCGEEEKIEObxePwnLmfNmtWpmoVCCCE6thdffNHfuOvbty979uzhiSee4JZbbuG73/0u69ev50c/+hEAVVVVfPvb3w75mhs3buRvf/sbAL/61a++cd5gkYahEEIIIYQQQgghhBAh7Mz1Cx999FGN0wghhBBtw+v18otf/MK//corr5CYmHjWfk899RSDBw8GYN26daxcuTJkazY1NXHnnXfi8/mYO3cu119//WVnDTZpGAohhBBCCCGEEEIIEcJGjx6NqqqoqsqoUaO0jiOEEEK0ibVr11JUVATApEmTGDp0aKv76fV67r//fv/2G2+8EbI1H3vsMY4cOUJUVJR/lGF7IQ1DIYQQQgghhBBCCCGEEEIIEVSffvqp//asWbPOu+9VV13V6uNCqeb27dv54x//CMDvfvc7kpKSLjOlNgxaBxBCCCGEEEIIIYQQQrR/Dz74IEuXLm2TY/3ud79jzpw5bXIsIYQQoWnfvn3+2xdanzcpKYn09HTy8vIoKSmhrKyM+Pj4kKnpdru588478Xq9TJ48mbvvvvuSs2lNGoZCCCGEEEIIIYQQQohvrKSkhBMnTrTJsWpra9vkOEIIIULXkSNH/Le7dOlywf27dOlCXl6e/7GX0zAMVM1f/epX7Nu3D4vFwgsvvICiKJecTWudvmHo8/koLCwkPDy8Xf4AhRBCCCFE+6aqKnV1daSkpKDTyYoB4n/kvYoQQoj2xu12t9mxGhsb/U3DZ555hmeeecb/OWkmChE88n5FG01NTbhcLq1jXDJVVc9672I2mzGbza3uX11d7b8dFxd3wePHxsa2+thLEYiae/bs4Te/+Q0Ajz76KD169LisbFrr9A3DwsJC0tPTtY4hhBBCCCE6uby8PNLS0rSOIUKIvFcRQgjRmd13333cd999WscQQnxF3q8ET1NTExkZNsrKfFpHuWR2u536+voW9z322GM8/vjjre5/5r4Wi+WCx7darf7bdXV1l5WxrWt6PB7uvPNO3G43gwYN4ic/+cll5QoFnb5hGB4eDkCXHz2KznzhXw4hhBAimKo2rqZyzWfoIu0kP/Z9dNbWr8gSQrRfvsYmCv7vt/7XpUKcdvp3YnLcbRh0pjY9tqqq7Kz+hCp3EdHR3ejf99aAjGL0+bxs2/EcTmcVyUOnk9hvUpvXOK2hooCjnzwHikLW9x5EHx4RsFqnuStKOfX8X0CnkPLbn6APDwt4zXOpfPVDHBt2kHL9YLrcMV6zHG3FkV3G7gfexByu58crr5BRtkKIb6z0WB0vLNoEwKA/3YS9W4LGiQLv5AtrKfp4L/ZJI4ief7XWcVDdHgoe/D1qo5OUW+/CmtUtOHVVFQBFUQjPU4NSs6m2nLptG+mSdSU6nT5gdXw+D6fy1hFXF06MKSUgNTw+F2vK/yvvV4LI5XJRVuZjzZYE7Pb28xqovl5l8qhS8vLyiIj432vxc40u7Ch+97vfsXPnTvR6PS+++CIGQ/ttu7Xf5G3k9JsOndmC/iK6yUIIIUSwuGuqqdq4BoDom6/GEBOpbSAhREDJyXDxdad/Jww6U5s3DAsbj1LlLkKnM9C75w0YjdYLP+hy6hRuw+mswmCxk9h/Mnpj4E4WVBzbBkB4/8GY4oNzErjqyEEArP17YkyICUrNc3GeyAUgelgWBlv7PykT3jMJRa/DWefFWe8lKjkwv6NCiM5j7b9PAhA/sSdRAzvHCP7oYZkUfbIXX6MTnTUEzntawTZiIPVrt1F/eD/23v2CHkFvCnzDUPV5Ob7yRTyNdYSHp5KSPDxgtU5mr+JU3jrK9ZGMi7sZvRK40/3yfiX47HYFe3h7mga2eURkREREi4bh+djtdqqqqoDmkZV2u/28+zc2NvpvX24Tuy1rHjp0iF/+8pcA3H///QwfHrj/34OhPf22CSGEEJ1K+coPUV1uzD0ysY0ZrHUcIYQQHYTb18Thug0AZGVegdUamEaXz+chO3c1AEmDrghos9DTVE9l9i4AokYFZ3SdqqrU7d0JQNjowUGpeS6e6lo8xeWgQNSAVE2ztBWdyUBYRvPvZvERWatMCPHN5O2p4vDqEhQdZN0xTus4QRMzsgvjln2XEU9O0zqK3+n3tvUH9+BrwzUvL4a3sZHcvDXU5h8JaB1FpydpwBQAsnM+x+sN3NeZkT4ekymCBm8NJ+q3B6yOEIESFRXlv11eXn7B/SsqKlp9rBY1fT4fd955J06nk6ysLJ544onLyhNKOv0IQyGEECIUNWQfp27fLlAUYhZeJ1fyCSGEaDNH6zbj8jUSFhZPRnrgmmuFRdtxOqsxhkUQ33tswOoAlB/ZgurxYE5Ow5KeFdBapzkL83BXlqOYjIQN7RuUmufMcjQHAHvXeAz2EBhB0kZsXeNxZJdTfKSW3pMTtY4jhGinVFVl5dPNDaLE6f0JS9d2RHgw6S1GwKh1jBbMvbqgj4nEW1mD49ghwvsODFrtqg2rqVy7iqbErkSk9Qporfg+Yyk58CVORw0FhZvJSJ8QkDoGg4VePa5l34HXyG7YTbKlO+HGuIDUEiIQevXqRXZ2NgDZ2dlkZWWdd//T+55+rJY19+3bx+bNmwHo168ff/7zn1t9fHV1tf92TU0Nv/rVr/zbP/nJT0JqylZpGAohhBAhRvV6Kf1kGQD2ySMxZXaMkQJCCCG05/DUkNd4CIBePWej0wXmLaHX6yY3dw0ASYOmojME7mSl6vNSeqh5xGTU6PFBu8im9qvRhdYhfdFZtH2T33S4eZq9yIFpmuZoa7aucfA5FB+t0zqKEKIdO7G5guytFeiNOjIXjdE6jmZUVQ2JC1EVnQ7bqEHUfrqWur07gtowjBo5jsoNq6kvOYmj7BS2+IyA1dIZjKQMnUHuurfIzf2SlOQRGAyBuagnPr4f8XF9KSs/yP7aNYyOmYOiyMSCon0YMGAAy5cvB2Dbtm1MmTLlnPuWlJSQl5cHQEJCAvHx8ZrWPL0+KsDHH3/Mxx9/fMHa1dXV/PznP/dvf+973wuphqH85RBCCCFCTPX2jbhKitDZwoiaO13rOEIIIToQmyGSwYPuICtzCtFRXQNaK7b/WCzRScT1Gh3QOp4mB8bEBPQ2O+H9hwS01plcZaUA2EYPClrNc3Eebb7qObKDrcll79q8FmXJUZmSVAhxeVRV5bOnDwOQdO1gLIkXt6ZWR1J3rIRdP3iDkqf+qXUUv9PTkjbkHAvqtKSGiEj/a4WS/WsDXi+2+3AskQm4PQ2cylsX0Fo9e1yHXm+mxl1KbsO+gNYSoi3NnDnTf/vTTz89776ffPKJ//asWbPaVc32QhqGQgghRAjxOuqpWN38YiVq7nT0dpvGiYQQQnQkrt5pxER3p2uXwK5lpNcbSR4yjb43/AidPrAT2xjDIkhb/B2yvv8gOmPwpl2L/9likn/9Q6wDegat5rmMeHou/X5xHVGDO1bD0Na1eUq18lwH7iavxmmEEO3RoS9KKNhfg8mqJ+OWUVrH0YTBbqH2QCGuYzn4nC6t4wBgTE8m7rsLSP3jT4P63A0QPXYiAFU5e3DVVwW0lqLTkzLsKgBOFWzA6QzcBTBmcwTduzU3QU427cGregJWS4i2NGnSJJKSkgBYs2YNO3fubHU/r9fLM88849+eP3++5jUHDx6MqqoX/HfmlKaZmZktPne56zAGijQMhRBCiBBS/vmn+BqaMKYnY588Uus4QgghOogGTw01mWFBq1fTrXlanWBMh1WX2Ty9mj4s+BfZmFITUQzar/RhjLQSN64HxvCOs34hgCnGhjHSiuqDkmMyLakQ4tL4vCqr/tq8dmHSnBGYooP3PBhKLEkRmOPtqF4fzhOntI4DgKIo2EYMQGcN/vOWJTkNa5fu4PNReiCwo/4AorIGEJ7Sk6RBUwM2JelpKckjyEifwLCh96JXtH99IsTF0Ov1PProo/7t2267jdLS0rP2++lPf8ru3bsBGDduHDNmzGj1eC+99BKKoqAoCpMnTw5KzY5EGoZCCCFEiGgqKqBmR/NiyTELr0XRydO0EEKIb86n+thTs4qt256hvOJIQGs5nTVsOfg8tYVHA1rntIpj2/HUBXe6Sp/bRWNsTVBrdlaKohCWGQtAxSmHxmmEEO3N3k8KKD1ejzXCSPqNw7SOoxlFUYgc1DwCvWlfcJ6fL0VTuhOfJ7ij4aLHTQag9OgmPE31Aa2lKAo9Zn6L5MFXUt8zPMC1dHTvdhVWawyu3h1rXWPRsd1zzz1Mm9Y8A8qBAwcYNGgQjz76KEuWLOG5555jwoQJ/OEPfwAgKiqK559/vl3WbA/kUgMhhBAiBKiqStkny0BVCRs5EEuvwK4rJYQQovPIduykxl2CQW/BbksKaK0TJ1fiKM2lcOcKwpN7oChKwGo1VZeQs24JyiYDXX74Mwz2wJ6EO61u3y5Kf7uU8BkTiJ6n7VXGqs9H6Z9eQhkeR+qcYRjCTJrmCQRLUiQ1e/OpKmjUOooQoh3xuH18/uwxAJJuGo3B3rFGYF+q2FFdKV11iMY9h4m+OXTW4Grcd5Sqtz7FltaThKtmB62urUcfzKnpmGLi8HkD36w88/WQz+dFUXQBfY10WnFCE2EF9UQY4wJeS4hvwmAwsHTpUm699VY++ugjiouLeeKJJ87aLy0tjTfffJN+/fq1y5rtgQxdEEIIIUJA/YE9NOaeRDEZQ+oNnBBCiPat1l3OcccOAHr0uBaLJTJwtWrzKS7ZBUD6qNkBPxFWvHd184U23XoGrVkIULN9M6rbg85qDlrNc3Fl59O0/yh5b21HZ9RrHScgLIkRAFQXNmicRAjRnux8N4+q/AaM0WGkzh6idRzNxYzIAp2Cu7AUd2mF1nH+x+fDnVdE7e6t+FzBW19RURQy7vo+yTcuwtk3Omh164pOsGXfc5SU7gl4raLineze+2/21nwm6xmKdiE8PJwPP/yQ9957jzlz5pCeno7ZbCYuLo5Ro0bx1FNPsX//fsaOHduua4Y6GWEohBBCaMzndlG24kMAImZNwhAbpW0gIYQQHYJP9bK3ZhWq6iU+ri9JiYMDVktVVY6d+BiAmG7DsMVnBKwWgKu+iooTzY3QmAlTA1rrTM6SIpryc0Gvwz5O++ntGnYfAiBmeFbHbRgmNTcMZYShEOJiuRo8rH6+eXRh5oLR6K1GjRNpz2C3EDkgjZo9eTTuOYxx2jitIwFgGdATQ3wMnrJK6vbvJnLoyKDV1mIN4vqSbBqrijjuWE5cbB8MhsBdfBQb0xOTKZx6VxVH6jbRN2JCwGoJ0ZZmz57N7NmXP+J48eLFLF68OKg1LyQrKwtVVQN2/LYkIwyFEEIIjVWtX42npgp9TCQRV03UOo4QQogO4lj9Vuo9lRiNNnr1vD6gI/7Kyg9QU5OLojeSOvyqgNU5rWT/l+DzYe3SHWt6VsDrnVazcwsA1sF90EcFb1TjuTTuam4Yxo7tpnGSwLEkNo+KrS6UhqEQ4sJUVeXdn++lrtSJOTGC5FkDtI4UMuIn9iR2bDeMiaEzPaWi02Gf3NwkrN62QZMMrooyju95B68r8M8zif0nYQqPxeWqJffUmoDWMpns9Ok1F4BTDfsoc54KaD0hRMcgDUMhhBBCQ+6aKio3fAFA9M2z0Jk73tpDQgghgq/aVUK2YzcAvXvdgMlkD1gtn8/D8RPLAUgaMBmTPbBTe3ma6ik72ty4C+boQp/bTe3u7QCETwreCIhz8ZRV4s4vBp1CzMguWscJmNMjDKsLG/H52seV2UII7ax54Tj7VxShNyj0+elV6EwyudppqbMH0/+X19NnVozWUVqwTxgOBj3OgjyaCvKCWltVVQqXvETN9k2UHgx8w1JnMJI+6joATuWvp6EhsNPDxsb2JC11DAD7aj7H5ZOLb4QQ5ycNQyGEEEJD5Ss/QnW5MffMImzkQK3jCCGE6CAijHFkZkwkOWkY8XF9A1qrpHQvTU2VGMMiSBw4JaC1AEoPrEd1uzCnpBHWrWfA651Wf3g/vsYG9DGRWPr3CFrdczk9HWlk/1SMEVaN0wSOOT4cdApet4/6MqfWcYQQIezgqmI+/+tRALrdfyWRA9I0TiQuhj7Cjm1E80jQYI8yVBSFmAlXAM2zF3hdTQGvGZnRj4jUXqg+L8e/ms49kLp1nYktLAGXr5H9NWvazbSIQghtyGU2QgghhEYac09St28XKAoxC64N6FRxQgghOhdPn0y6kRmUk0LWsaPpmhIGKOiNgVuL5zRnhIpiMBAzYWpQnztrv5qO1D5hOIpO+2tvG3cfBiB2dFeNkwSWotdhSQinqbiWqoIGIhItWkcSIUpVVVwNXhxVLprq3DgdHlwNXlwOT/PtRi9OhweP04vXo+J1+/B5VDxfffS6fQAoSvN/FAUUnQJK830Gkw6jRY/BpMNgPv2x+T6L3YjZbsBiN3z10Yg53IDJqpfX+EFSfLSWdx7aDUDq9UNIniUXY55LY2E1jfursYbAxS+n2a8YjWPTbur27yJ+xnXorWFBqx3efwgVq1firiij7PBGkgZeEdB6iqKQPno2B979A+UVh6moOEJsbK+A1dPrjfTtezPbdzxHqTObClc+ceb0gNUTQrRv0jAUQgghNKD6fJR+8h4A9okjMGWmahtICCFEh1DvqcTQt59/KplgnKhWFIXoLoMCXue0uCtnETV6AvowW9BqAkR/fx6m9TuwjRkS1LqtUVWViGQD7mwTsWM67vqFp5kTI5sbhoWNZA7VOo0INp9Xpa6siZriJmqKG/0f68udOKpdNFS6mj9Wuf1Nv1ChMyiERZqwxZgIizJiizFjizFhizETHm8mMtFCRKKFyCQrlnCDNBcvk6PKxWv3b8fV6CVqSAZd752kdaSQVbO/gN0PLEEXYSftLw+HxAUwAObumYRPHYN1UG905uBeGKLodMRMvJKSZW9Qsu9L4vuMC/gFUJaoRBL7TaBk/5eUlO0LaMMQINyeTI/uV2MwWIhIHAyH8wNaTwjRfknDUAghhNBA7e5tOIvyUaxmouZO1zqOEEKIDqDRW8fm6vex7lrPwP4LMZsjAlqvoaGCxp5RmrypNNjDg18zKoLIawI/5erFUBSFPj+dhc/tRWfUax0n4Czx4dQAdaWBnypOaMPt9FKZ10BFrqP536nmj5X5jdSVNuHzXvxoacWoxxhuQW81oQ8zfvXRhMFqQm81ojMbUAw6FIMenUGPYtA1f9TrQAHU5qY8qvrVR1B9Kqrbg8/lxec686MHb5MHb4MTT4MLr8OJx+HC43CCT8XnUamvcFJfceHpdE1WPRFJFiITrUSlWIlOCyMmLYyY9DCi08IIizJKQ7EVXrePJT/aSVV+I5bkSPr+7Bp0ho7/d/FyhfdKQh9mwltbj/NoDpbeoTFKXVEUYhbNbr59KvhNzIiBQ6lcsxJ3VQVlB9eTNCjwayQnD5lOWHw60V0Gw0lXwOulpY4OeA0hRPsnDUMhhBAiyHxuNxVfLAcgavaV6CPsGicSQgjR3vlUL7urV+LxNAIqRmNgp/JSVR8HDi6hcW8NXafeTnhS4E84VmXvxd0tCiuZAa91JlVVcWW6g1rzYnWGZiGAPswIgKvBq3ES8U153D7Ks+spOVZH8dE6So7WUnqinpqiRs47g7JOwRxnxxwfjjkhvPljrB1jVBjGSGvzv4jmfzqL9iP1VFXF5/TgqWvCXduIu7rxq48NuKobcVc5cFY4cJbX4Syrw1PbhKvRS3m2g/JsR6vHNIXpiUkLIzbTRlwXO3FZNuK/+mgJNwb5Kwwdn/7+ENlbKzCF6en/y+sxRnbcNV3bgs6oJ35SL4o/3Uf9+h0h0zA8kzPDhfmUKag1Fb2e2CkzKH73dYr2ryau9xgM5sC+ltKbLMR0bZ61oKabmcgTwVunt75rFCV7V9HVNkzzv5dCiNAiDUMhhBAiyGq2b8JTW4M+JpLwqWO0jiOEEKIDOFq3mRp3CQaDhf59b0GnC+xbvYKCLdTVF6A3WbBExAW0FoDX1UTuhrfxftFA6m3fxtY9sFN3nal663pqX99N5OypWPt2D1rdc/HWN5BoyEZV4zvNST6d5auGYaNH4yTiUribvBQdqiF/fw0F+6spPlpHeXY9Xk/rnUF9mAlrWjTW1CisqdGEpUZjSY3CkhCOKdrWPAKwnVAUBb3FiN5ixBx/4RHRXqcbZ1l9cwOxtI6mklqaimpoKqqmsagGV3k9rgYvxUebG61fZ481E9fFRkI3Owndw0noFk5idzu2mMCvK6ul7UtPsfn1HAB6PHgNti6Bfz7qCJJm9qP40300bt+Lb+F16Cyh83vidTRQu3wdnoOFpN72raA+z4UPHEr19k3YuvdC0QX3ghyvq5HcU+vJSB+PogT2b53P52H7zn/Q1FSJTtHTxab9VOtCiNAhDUMhhBAiiHwuJ5XrPgcg8rorUIzyVCyEEOKbKWk6SU7DHgD69L4RqzUmoPWczlqO564EIHX41RjDAjv1KUDJgbV4nQ0Y4xII6xK8pp3q81G9aR3uynI8RWUQAg1Dx6Zd7HjtQxKm9KbPI1drHSco9ObmhqG7UUYYhiqfT6XsRD15e6so2F9D/v5qSo7V4WulOagPM2HrEoetS3zzx65xhKXFYIyydpom+NfpzUbC0qIJS4tu9fM+l4emkloaC6ppzK+iIb+ShrwqGvMrcVU4/NOe5myvbPE4W4yJhG52EnuEk9gjgqSe4ST0CMcc1r7fgzTWuFnx50NsfycPgKzFY4kbp/3f5/Yiom8K1tRoGguqaNi2D/uE4VpH+h+vj7rl61DdHhpzTgT1OV/R6Ui/63soikIDEJ578VMhfxOqz8fhD56hqaYUvd4U8KlDdToDmekTOHLsfY7UbSbCEE+sOS2gNYUQ7Uf7foUghBBCtDPVWzbgra/DEB+DfXwIvTETQgjRLjV4athXtwaAjPQJxMf1CXjNY8c/xud2YovPIK534NfD8TgbKDnwJQBxU2ag6IN31b/j6EHcleXowizYxg8LWt3zcWzaDUB4n2RtgwSR/vQIwyZpGIYKn1el6HAtOTsqyNleSe7OShqqz5661xgdRkTvJMJ7JWHvnoCtSzzmhPBO2xi8XDqTgbD0GMLSz74gxONwNjcR8ypx5FTQkFuOI6cCZ3ENjkoX2ZWVZG9r2UiMSQ8jsUc4ST0jSOoVTmLPCGLSw9DpQvvnoqoqez8p5JOnDuKobF7zLWX2YDIWyNpsl0JRFBJn9CPn3+upX78jpBqG+gg7tvHDqF+9har1q4PaMARa/G1SVTUof6sUnY74vuPI27SM4zkriIvtjcUSFdCaKSkjqanNo7hkJ7vrP2ecYS4WvSyVIoSQhqEQQggRNN6mJio3rAYgcvZUFEPnWHdICCFE4OyvXYPH20RkRAZdu0wPeL2KiqOUlu0DRUfGuHkBnzYLoGTvanzOJkyJydj7DQp4vTNVbWxuVNonj0JnDu56Sq1xF5fjOpkHOoWEycGbllVrOkvzqQsZYagdVVUpOVrHsQ1lZG+rIHdXFc76llPE6iwGwnsl+xuE4b2TMMdLczDQDDZz8/e7V1KL+72N7q+aiOU4sk//K8NV4aAyr4HKvAYOfVHi399o1Tc3EXs1j0RM6tn8MVTWR6w45eCDX+7nxOZyAMIyYujxw2lEDZCRUZcjaVpfcv6zHk9eAd76BvT2wK7XdykiZk6gfs1WHMcO4SwtxpyQdOEHtTHHiaPkfvYx3UbPxxod+PrxfcZSeWIXjtIcjhx9n4EDbgvo305FUejVczb1jiLq64vYVb2CUTHXo1PkHIUQnZ00DIUQQoggqd68Fl+DA0NSPLYxg7WOI4QQogPoOXg+R469T59ec9EFeL0dr9fNkWMfAJDQbwJhsakBrQfgbqil5NB6AOKmXoWiC94aZk1FBTTmnACdLmTWHHZs3g1A9NBMTDE2bcME0ekRhm4ZYRhUjioXxzeVcXxDOcc3llFX5mzxeX2YicgBaUQOTCVqYDr2Hgno5IK4kKG3GgnvmUh4z8QW97uqG/7XQDxRSn12OQ05FbgbPeTvrSZ/b3WL/SMSLV9NaRpOYvfmj/Fd7RgtwflZe9w+1v/7BGueP47H5cNg0pG2YAzpN41AZ5Tft8tljg9nwG/nEtkvlbzy0GkWAhgT4wgb1o+G7fup2rCapBtuCXqGmm0bcBbmUbDtY7pPvyvg9RRFR+aEmzi07I9UVB6hpHQPSYmDA1pTrzcyoN8Ctu14lhp3CYdq19MvclJAawohQp80DIUQQogg8DY2ULlpDQBR118Z1OnUhBBCdEyu3mmEAUMG3RmUeqrqxZbRHW/BUVKGBH40I0Dx3i9Q3S4sqRnYevULSs3TqjetBSBsxAAMsVFBrd0aVVX905EmTg381LOhRPfVGoYuGWEYUKqqUnSolkNflHB0XSmFB2tQz1jCS2cxEDUwnehhmUQOTMPeNR5FH7wmvmgbpqgwTEMyiB6S4b9P9fpoLKii/kQZjuxy6k+W4ThRhrOsjtqSJmpLmji2vsy/v6JAZIqV2AwbcZk2YjNtxGaEEZtpIzo1DL3x8n8vmurc5O2t5tTuKk7triJ/bzVOR/No1qihGfT8wZVYU1tf61FcmphhWVpHOKeIqybSsH0/tXt3Ejv1KowRUUGtH3fl1dQfPkBN3kHqik4Qntwt4DWtUYkkD55G4c7lHM3+mJjoHphMgb04yGqNoV+fm9iz77+UU4zb58SoMwe0phAitEnDUAghhAiCqg1rUBubMKYlEjZygNZxhBBCtGN17grqU6zEBrmuo1ckWb1uxutqRG+yBKWm0iMVQ14UsVOvCuq0hp66Wmr37wQgYsb4oNU9H1d2Pp6ScnQWA3Hjg7umk9b8IwylYdjmvB4f2VsrOPRFCYdWl1Bb0tTi87au8UQPzyRmeBaR/VPRmeQ0Ukek6HWEZcQSlhELU/53v6e+CUdOxf+mNc2pwJFdhqe2ieqCRqoLGjmxqbzFsXR6BVuMCVuMGVuMCXuMCVts8+2wKBOqT8Xr9uHzqHi++uh1+6ivcJK3p5rS43UtGtXQvBZmt3snk3BFb5niNgAyU0vJPhkVElNvn2buloG5ZxbOozlUb15H/PRrg1rfFJdA5LDR1GzbSP62j+h97f1B+d1LHDiFquw9NFYVcTL7M3r3uj7gNWNje9Gv783ExvRENVjgcH7AawohQpe80hNCCCECzOuop2pr8yiFqBumBXU6NSGEEB2Ly9fIzupPaayoo1/fm0lMGBjwmqrqA/53kkxvsga85mmRQ0cSPnBo0Efm68NsxN11I02HT2Lumh7U2ufSsPMAAHFju6O3hs5J3WDQmb9aw1CmJG0TqqpSsL+G3R/ms295EY5Kl/9zOouRmOFZxI7uSvTwLMxxdg2TCq0Z7BYi+6cS2f9/U1Crqoq7uoGG/Coa86toLKimseCrj4VV+Jo81JU5z5rC9lJYUqKI7JtCRN9kIvqlYMuKk9GsAVK5PYcTf18DSWnEfyf4U3+eT+Q1U2jYdRDrjGHguvD+bS12ygxq92ynoewUVSd3EdNtaMBr6vQGMifcROmBdcSNuhoKA14SoMXrSVfvNAyHcmU9QyE6KWkYCiGEEAFWuXENapMLU2YK1qHBnU5NCCFEx+FTveyqWk6jtxaLJYaY6OCMMiso3EJx4zEyk+ZhsgdvGri6zOYmpc4Q/Letri5ebF0Gh9Saw4O/P4SKUVGYO9Hahad56ppHvZntcgrjm3BUOtn9UQE7l+VTcqzOf78x0krc+B7Eju1G9JAMGUUozktRFEzRNkzRNqIGpLX4nKqquCocuKocuKsbcVc34Kpy4KpuaN6ubUTR69AZdCgGffNHox6dQY8+zER4r0Qi+qZgiu58f+e0Yoy00pBbgZJfhadqFoboSK0j+VkH9sI6sFfzxqng1zfYw4kZP5WKLz4lf+tHRGb0Q28M/HSdtvgMukxe8NXW5TfeL1de/kaKKjYyKuYGmZ5UiE5IXgUKIYQQAeR11FO9dT0AkddfKVPoCCGEuCyqqrK/Zg1V7iL0ejODBizCaAwLeN2GhgqOZ6/A53FRfeoACX2DMz1nzro3MVZ1I3zgsKCPzFe/PhdeiFD0OuLGBH4NpVDkqnIAEB4fnKlwOxKvx8ex9WXsXJbH4S9L8Xmaf78NZh0x43qScGVfoodmoDPISBLxzSmKgjnOLiNT25HwHolEDkilZl8BdZ9vJnreDK0jtcqZ4cKUawz6++nocZOp3bUFd1Ullcd3EN9nbFDrV3c14dt+kOjobkH52j2eJk6dWovTU8uu6uUMj75GRhoK0clIw1AIIYQIoMoNa1CdLkyZqVgH99E6jhBCiHYq27GLwqYjKOjo3+8WbLbEgNdUVR+HDr+Nz+MiPLl70E6S1eYfoeLoVjixA2tmV4zRwVut0edykvfi3wibMoTwK0ajGLV/y6yqKng791ScroqvGoZxMtLhYtWVNbH1zVNsX3qqxdSQ4b2SSJrZn4QpvTDYpQErhIDUG4ZSs6+A+jVbiLzuCnQmo9aRWnAXllK9dAUWWzJxV84Kam2d0UjCNXPxNjVh7j84qCMdVVUl58s3qDyxg949byAlZUTAaxoMFgYOvJ2du56n0lXA/po1DIi8IuB1hRChQ/t3P0IIIUQH5XHUU73t9OjCqTK6UAghxGUpdeZwtH4LAD16XE1sTM+g1D2Vt56a2lPojGYyJ9yMogR+pJ/q85G/9UMAokaOD2qzEKBmxxacxQV4VzUSfuWYoNY+F+fhk1S+8Br6ucPImD9S6ziaOD3C0B4vDcMLydtbxabXcti/osg/mtAYaSXhyr4kzeiHvWu8xgmFEKEmblx3zIkROEtqcWzaTfikwDemLoW7uIyGHQdoNB8jasxEDLbgjmC19Tjzwt/gzUKgKArWmGQ4AUdPfkxUVBfCwuICXjfcnkz/vreyd99/KWw6QpghgqywQQGvK4QIDbJisBBCCBEgVadHF2bJ6EIhhBCXr8JWD6ikpowmLTU4Taz6+mJO5nwGQPro2ZjDY4JSt+LYNhqritBZrMROujIoNU/zeTxUbVgNQMTVk1D0oTEFV92qjbirGmgqrtU6imb8IwxjpWHYGo/Ly+4P8/n7/PU8f+tG9n5ciM+jEtEvhT6PXM3oJd+m+3cmS7NQCNEqRa8jdfZgAOo+2xByU3Nbh/TFlJmK6nRRtf4LTbNUJzbRWFUctHqJAyYRntwdn8fFgYNv4vN5glI3NrYnPXteB8Dx+m0UNh0NSl0hhPakYSiEEEIEgLfBQfX2r0YXzpbRhUIIIS5f1y7T6N/vVnp0vzoo9Xw+DwcPv4Pq8xKZ3pfYHsEZ1eZ1NVGw41MAYidPRx9mC0rd02p3b8NTW4M+OgL7uGFBrX0unsoaGnYdBCDlus57db+r8vQahtIwPFNTnZsvXzzOH6at5p2H9lCwvwa9UUfi9H4MfW4hQ56+hYQpvdEZQ6P5LYQIXUlXDUBnMeDOL8Z5PFfrOC0oikLkDdMAqN62AU+dNhfQNOblkvP0bzjx+Uv4vMFp3CmKjqxJt6I3WamrLyA75/Og1AVITRlJRvpEAA7Wrg9aXSGEtmRKUiGEECIAqjatRW1yYcxIltGFQgghvhFFUUiI7x+0ek5XHR69B705jMzxNwbtopfiPZ/jaazDGBtP1MhxQal5mur1+kctRMycGBJrFwLUr9kCPpXIgWmdenTY6SlJw+NlzT2A+gonm17NZsuSXJrqmk9am2LtpFw3iORZAzFFh2mcUAjR3hjDLXS7dwrWlEiq4zO1jnMW66BemLqm4zqZR+W6z0mYdUPQM5jiEwBw1pRRemAdSQOnBKeuLZLMCTdx8vOXyT21lpjoHkRHdw1K7W5dp+N0VmOzJXIy+7Og1BRCaEtGGAohhBBtzNvYSNXWtQBEXnuFjC4UQgjRrrj6JdHn+v+j58xvYwyLCEpNd2M9JQebnzvjZ1yHYghuw67uwG7clRXowm3YJ4fGOoGqx0v9l9sASLm2844uVL0+XFUNANjjOvcIw+qiRj568gB/nPEFX/7zBE11HsIyYuj1/2Yy6rW7yVwwWpqFQojLlnLNQKKHZtIlvVzrKGdRFIWoOdMBqN6+CXdNddAz6C1W4qZfC0DhnpW4HMHLEJ01kLieowCVg4ffCdrUpIqio2+fm4M2Jb4QQnuhcdmkEEII0UGoqkrFF5+iNjoxpiYSNqyf1pGEEEKIS6YzGAmLSwtaPaPVTtrt91J3cC+2Xn2DVhean7sr1301unDaOHRmU1Drn0vDjv14a+owxdiIG99D6ziacdc0gk9FUcAWExo/m2BrqnfzxXPH2Px6Dj5P89pi4b2SyLh1JLFjuqPo5OI0IUTbUt2ekBltf5qlX3fMPbNwHs2hest64qdfE/QMEYOGUbNjM02nssnb/D7dpt4etNppo2fjrKsgefA0dI3B+9nIBdBCdC6h9ZdfCCGEaMdUVaVs+ftUb2me3z9qzjQUnQzmF0II0T4cPfYhakoMiepkFCW4z191mQpWumLNDM4UW2dSFIXY+26k5uM1hE8NnSvoa5evAyD56gGdeg266t2nAIjNtKE3dK7XVaqqcmBlMR8/dYC6UicAUYPTybhlFFFDM+QkrhCizfk8XnL/u4miT/aS8NgPMUQHZ6aBi6EoClFzZ+A8not92jgo1iCDTkfiNXPI/cefqc7ZS3XufqIygzNtvN5opues7wBQA0SecAalrhCic5GGoRBCCNEGVJ+P0o/fpWbbRgBiFs0mbFjw1psSQgghvomysoPkF2yCAghP6oYtITjrF/m8HtwNNUBcUOqdiykzhfj7btU0w9cN/NmV5L+zndTrh2gdRVNla48C0G9aksZJgqvilIOPnjzAsfVlAFhTo+j+vanEjMjSNpgQokNT9Dqq9+Thrm6k9uM1xCy8TutILVh6dcHSq4umGcxJqUSPnUzV+i84tfFdwpO7ozcFf43d4thqbDkNhIenBL22EKLj6lyX5wkhhBABoPp8lLz/VnOzUFGIvXNuSI1QEEIIIc6nsbGKg8eWApDYf1LQmoUAJXtXc+Dd31G1ZV3Qap7J5/HgzHBpUvtCbJmx9PrRDIyRnXdNOk+Di+qtJwHoP6NznBD1uLysfv4Yf71hLcfWl6E36shcNIbh/7xdmoVCiIBTFIWs28cCUP/lFjwV1doGOo+mtCY8tTWa1I6dMh1jTBzWXj1RVTXo9euKT3L4g6fZu/9VXC5H0OsLITouGWEohBBCfAOq10vxsjeo27uzuVl4z03Yx3bukQBCCCHaD5/Pw4GDb+B1NWKLzyBl+Kyg1XbWVVC0dxWqx4PeGvymmM/tJvfZ32Ee3IPouTPQ2axBz9Aa1eejS0aF1jFCQsWmE3hcPuKybCT1Ctc6TsCd3FrBB0/sozy7+eRv1NAMetw/lbC0GI2TCSE6k6ghGUQOTKNmbz41H60m9vYbtI50FldeMeXPv4HOayTj2w8EfSkQndFExr3/h95ioREIzw1u09AanYzRGo6ztpwDh95k8MDFQZ9OXgjRMclfEiGEEOIy+dxuCt98ublZqNcRd9+t0iwUQgjRrpw4uYLaunz0JitdpixCpw/eNaV5m99D9XiwdulO+IChQat7Ws32TbgrK2jcdRCMoXMtbfnf3+Dwbz+lsUibUROhpOzLIwD0n5Hcodfr87i8fPr7g/z7zs2UZzswRofR5+FZDHxqnjQLhRBBpygKWYvHAeBYtw1PWaXGic6mj7TjKa/GWZRP3b6d2mSw/G8aUlVVUX2+oNU2mK10m7oYncFEVdVxTmZ/FrTaQoiOTRqGQgghxGXwOZ0UvvYijsP7wWAg/nsLsY0YoHUsIYQQ4qKVlR0gL38DAFmTbsEcHrzGRPWpA9ScOgg6HQlXzwl6M8jndFK5dhUAkbOnojMZg1r/XNyFpTRs20fJ5wfxuTxax9GUx+Gkels20Nww7KhKT9Tx/K0b2fBy89eafPVARv7nDhKu6NOhm6RCiNAWNTCNqKEZqB4fNR9+oXWcs+gj7EReMwWA8lWf4HNrN724u7qKI+v+RdHulUGta41JJnPCTQDknvqSsrIDQa0vhOiYpGEohBBCXCJvYwP5L/+DhpPHUCwmEn90B2FD+modSwghhLgktdEuFJ2exP6TiMroF7S6Po+LvE3vARA9dhLmhKSg1T6tatNavI56DImx2McPD3r9c6n5eA0AceO6Y8uM1TaMxio2ncDr9hHfxUZij443Hamqqmx9M5e/37yeosO1hEUZ6feL2fT84TQMdsuFDyCEEAF2epRhw5bdeB0NGqc5W/j0cehjIvHUVFO1ca1mOZryc3EcO0TR3i9orCoOau2YrkNI6DcRgANH38HhKA1qfSFExyMNQyGEEOISeOrryPv3szTl56KzWUn8yd1Y+nTTOpYQQghxyeJ6jab37AdIHXF1UOsW7foMV30lhogoYidND2ptAG+Dg8pNzaMlom6YhmLQBz1DazwV1TRs3g1A+vyR2oYJAf+bjjSlw420c1S5eP0HO/jgif24m3xED8tk4PN3Ejeuu9bRhBDCL7JvCt2+M5kR/1qM3hb8tYYvRGcyEjVvJgCVGz7HU1+nSQ57v0HYevUDr5fcdW8FdWpSgLSR12BP6orP7eRU/vqg1hZCdDzSMBRCCCEukru6krx//Q1XSRH6yHASH/o25m4ZWscSQgghLonX66ammxmAsJgUFF1wG2aeBAuKXk/C1XPQmc1BrQ1QuX41aqMTY3oSYSMHBr3+udQuX4vq9RE1JIOI3h13Cs6L4al3Ur09B4D+MzvW9yJnZyV/m7OWQ1+UoDfq6HbvZAb8Zi7mWLvW0YQQ4ixpc4dhSYokK61M6yitso0ehKlLGmqTk4ovPtUkg6IoJFwzF53ZjKMsl9KD64JbX6en6xW3kTxkGskzbwpqbSFExyMNQyGEEOIiOEuKOPXPZ3BXlKGPjSLx4W9jSgv+FGpCCCHEN1FcsodNu5+hoaJQswwxE68k64ePYO/TP+i1fW43tfu2ARA1dwaKLjTeEnuqanB8uRWADBldSP7S7XjdPhK62Uns3nGmIy3YX81/791KXZmTsIwYBv91AWnzhqHoOtYISiFEx+QuCr2moaLTET2/eaYEZ0M5qterSQ5jZBRxM64DoGDHJzRWlwS3vjWclKEzUXR6/0VhQghxOULj3ZEQQggRwhrzcsl76W9462oxpiaS9Mh3MCbGaR1LCCGEuCR19UUcPrYMV10F1Tl7g15fVVXqMpsbI8aIqKDXB9AZjST/6gGib7kG66DemmRoTe3ydfhcHiL6pxI1tHPPXuAsq6Pw7ebm6RXf7alxmrZTdrKel7+zDVeDl6ghGQx9biH27glaxxJCiAtSfSqHfvMJhQ/9kaajOVrHOYulVxcSH76XhJ/chaLXbprxyGGjCeveC9XjIWfN6/i8Hk1yqD4ve4s/pKQ0+K/1hBDtnzQMhRBCiPNoyD5O/it/x+doxNw9g8SHvo0hJlLrWEIIIcQlcbnq2LvvFXweFxGpPUkeEty1A5tqyjiw/GmaCk4Fte7XOTNc6MNtRMwYH1Lr4g387hCyFo+j690TQiqXFrL/vR53k4/ModH0m9YxZnOoKW7kpW9toaHKRXjPRPr9YjZ6i1HrWEIIcVEUneL/m1X1+odBX6PvYlh6ZqEoCs4Ml2YZFEUh6fr56KxhuHHibqjVJEf50a2UH97EwSPvUFOTq0kGIUT7JQ1DIYQQ4hwcxw5R8OoLqE0uLH27k/CTu9HbQ2+xdyGEEOJ8fD4P+/a/htNZjTkiji5TFgV1Kk5V9ZG77k2chXmUf748aHVbZlBpyDmBqqqa1L8QQ5iJzIWjieyfqnUUTdUdKabks4MAXPWTvh2iedpQ7eKlb22lprgJa3o0/Z+cgyHMpHUsIYS4JFmLx6EPM+HKKcCxaZfWcc7J19BE8eb38TY4NKlviIgk7bZvk/md/8PVP1aTDHE9RxGZ0RfV62HPoVdpaKjQJIcQon2ShqEQQgjRirqDeyl4/d+obg/WQb1JeOB2dGY5uSOEEKJ9UVWVw0feo6b2FHqTle7T7sJgDu7FL2WHNlJfko1iMpN43byg1j6t/sAe8v/9LGV/fSWkmoa+JieZqaVaxwgJqqpy4vkvARh0TSppA6K0DdQGnA0e/nvfNspO1mOKszPwt/MwRcnFZ0KI9scUHUbGglEAVL+9Al+TU+NErSt79jVqP/mS8lUfa5bBkpqOzqTdOoKKTkeXyQsJi0vD0+Rgz76XcLsbNMsjhGhfpGEohBBCfE3tnu0UvfVf8HoJGzmQ+O8vQjHJtFFCCCHan8KirRSX7ARFR9crFmGJCu6aac66CvJ3NJ+0i59+DcaomKDWB/B5PJR/9hEApvTkkBq1VvGfd9n13deoPVysdRTNVWw8Ts3efAxmHdN+0EvrON+Yx+3jjQd2kL+3GmukkYFPzcOSGKF1LCGEuGxpNwzFkhyJt7qW2k++1DpOqyKvuwKAmh1baMzXdjpO1efjVP6XnNq0LOi19UYz3afdhckeTWNjBXv3v4LX6w56DiFE+yMNQyGEEOIM1ds3UfzuG+DzYRs/jLh756MYtFs4XQghhPgmLCOHE57Sg/RR1xGRGtwmjKqq5K5/G9XlwprZlcjhY4Ja/7TqzetwV1WijwonYtYkTTK0xpVXTMPWPdQdLUFn6NxvzX1uLydfWAvAuNu7EpVs1TjRN+Pzqix9aDfHN5ZjtOrp/cQ8bJnaTE0nhBBtRWcy0PVbzc+jdcvX4qmo1jZQKyy9umAbOwRUldKPlmq63qKzqICylR9SdnA91acOBr2+MSyC7tPvRm+yUFOTy+GjwW9cCiHan879rkQIIYQ4Q9XGLyn94G1QVcKnjiH2zrlBXeNJCCGEaEs13cwYzGH0mPEt4vuOD3r98iNbqCs8hmI0knj9zZo8p3rq66hYtxKAqLkzQmp68er3PgMV4ib2xN49uCM/Q03hB7tpLKjGHmtm4l3dtI7zjX36+4PsW16E3qDQ+9HrieibonUkIYRoE3HjuxM5MA1DuBlPeaXWcVoVffMsFKsFZ2E+Nds3aZbDkppO9JiJAOSuexN3Y33QM1ijk+g69Xb0Jivhg4YHvb4Qov2Rs6BCCCEEULl+NWXL3wcgYtYkohdeJ81CIYQQ7ZLLVU9h0Q7/tqLTaTINZ2XVYQDips7CFBsf9PoAFV8sR210YspMxTZuqCYZWuPMyadxxwFQIOv2sVrH0ZS7tpHC1zYAcOX3e2K2GTRO9M1sfSuXTa/mANDzwVnEjMjSNI8QQrQlRVHo/eBVjHzpTnpPDdc6Tqv0keFEzZ0OQPkXH+NxBL9Rd1rs1FmYEpLwNNWTu/4tTdZRjkjpyYCbf0Zkeh9qumm3tqIQon2QM6FCCCE6vcq1qyhf+SEAkbOnEnXjzJBa30gIIYS4WF6vm337X+PwkaUU7fpM0yzJN91O8o2LiBo9QZP6TUX51OzYDED0rdeEzIVAqqpS/fYKABKm9unUU1WqXh9H/7SSxlo3iT3CGXpDutaRvpHqokY+fvIAAFl3jCNhSm+NEwkhRNuzJEagt4bOiP3WhE8ZhTEjGV9DExVfLNcsh85oJGnuAtDrqTl1gLJDGzTJoTdZ/LdLYmsoLz+kSQ4hROgLjXdMQgghhAZUVaX8i+WUr/oEgMgbriTqhmnSLBRCCNEu+XxeDhxcQk1tLnqThaguAzXLUpepoOh0hA8YolmjTnW7MSTEEjZyIJZeXTTJ0JqmvUdoOnAMxaAj67bOPbrwxPNfUr7+OHqjjtmP9kenb9+vwba8kYPXoxI5MI2MW0dpHUcIIQJKVVUsB9dQv2Gn1lHOouj1xN5+A2GjBxO+6ApNs1iSU4mffi0A+Vs/wFGep1kWZ10lRz5+ln0HX6ei8qhmOYQQoat9z/UhhBBCXCZVVSlf9TFV674AIOrGmURePVnbUEIIIcRlUlWVI0ffo7ziEIreQLcr78QalRj0HI7yPIoKNhOfNBudWdtpr3TjU0kZ9QA+p0vTHF/n2LwHgNQbhmJNidI2jIYKP9xDwbvNJ5nn/noQGUNiNE70zbgaPGx75xQAafOGyQVoQogOr+zLoxz53XL0NjPW/j3QR4bWFKXmbhnEd8to3qjWNApRoyfQkHMcx9FDNFWVYIvTZkS9yRZFeHI3qrL3sPfAawwesJjoqNC5qEoIoT0ZYSiEEKLTUVWVsuXv+5uF0bdcI81CIYQQ7dqJkysoKt4BikLXKYsIT+4W9Axet5PsNa9Rs30z5Z9/EvT6Z3JmNDcJFaMBvT1M0yxfN+wXU+jz8CwyF3TeEWg1Bws5+eznAEz7QS8GzkrRONE3t/vDAppqPVhSoogd1VXrOEIIEXDxE3pg75mI1+Gkaom2z/sX4sxw4Swu1Ky+oigkXX8LGXffj+nKEdrl0OnImnQrkel9UL1u9hz4L7W1+ZrlEUKEHmkYCiGE6FRUn4/Sj5ZSvWktADG3XU/EjPEapxJCCCEu36m8dZzKa35eyxx/I1GZ/TXJkb/lA5w1ZRgiIomdPF2TDABlKz6kdsV6VK9XswznkpVWhqJTSLiiDwa75cIP6ICcFfUc/MUHeD0q/WckM/Hu4De325qqqmx6LQeA1OuHoOjlVIsQouNT9Dp6/uBKUMCxaRdNh05oHalVqsdL2V9fIffvf6TxVI5mOfRWK5bU5pGFdZkKqurTJIdOb6DrFbcTntwdn9vJrgMvUV9frEkWIUTokVexQgghOg3V56Pkg7ep2bYRFIXYO+cSfsVorWMJIYQQ34gzwQIopA6/mrie2oxaq87ZR/mRzaAoJM25FX2YTZMcTQV5VG1cQ9UbH+HKDq0r5hv3HsHbGFrTowabz+3l4C8/xFXhIKG7nRueGNghpu48vrGcspP1mG0Gkmb00zqOEEIETXivJFKuHQRAxX/fQ/V4NE50NsWgR7GYQVUpef9NfCGQsamogP0f/RFH2SlN6usMRrpdeQe2+Ay8zgZ27/k3DQ0VmmQRQoQWaRgKIYToFFRVpfTjd6nduaW5WXjPTdgnajcViBBCCNEWarqZSeg7nj6zHyBx4BRNMrgcNWRvehuA6HGTCevaQ5Mcqs9HyUfvgKpiGzMEc/dMTXK0xl1aQdkzL7P19n/jrKjXOo5mTvxjDbUHCrGEG7j16eGYwwxaR2oTm17NBiBu+gAMNm3X7hRCiGDrcud4jNFheIrKqP10ndZxWhV9y9Xowm24ykqoXLtK6zhUbViNq7SYk1/8F4+zQZMMepOF7jPuwRqTjDEqFqMxtKZwF0JoQxqGQgghOjxVVSn79L3/jSy85ybsY4doHUsIIYS4bLV1BVSk/W/KzbC4NE1Gaqmqj5y1S/A1ODAnpxF3xVVBz3BazY7NOAvyUKxmom+epVmO1lS/vRzV48PWJQ5zrF3rOJooXnmAwvd3AzDvN4OJy9RmFGpbK8uu5+i6MhSleTpSIYTobAx2C93unQxA7cef463XpgF2Pnq7jZhFswGoXPc5zpIiTfMkXDMXY3QsrvoqctYuQVVVTXIYzGH0mPltesz8Fg29ozTJIIQILdIwFEII0aGpqkr5yg+p3tx8pWPsnXOlWSiEEKJdq6srYNe+f3Hko7/hbqjVNIurrpKG6gIUo5HkeQtQDNqMGPM66in/4mMAouZMRx8VrkmO1jQdy6Vh2z7QKXT99iSt42ii7mgJJ/6yEoAr7utB78mJGidqO5tfzwEgZnRXrKnR2oYRQgiNJFzRm5TrBjHwt/PQ20NzpFrYiAFYh/QBr5eS999E9WmzhiCA3mIl+ebbUfR6ak4doHT/l5plMVrD0Zua11Wu6WamoGALjY1VmuURQmhLGoZCCCE6LFdlBUVvv0LVhjUAxCy+AfuE4dqGEkIIIb6BurpCdu7/D15XE3qz1X+CRyuuAfFkfvcnJN98O6Z47ZpAZSs/wudoxJieHFLrE6s+H1VvfARA0ox+2LvGa5wo+BoLqznw2Pt4XD56T05g8r3aTFkbCE6Hh13vNa+VmXrDUI3TCCGEdhRFocf9VxLZP5WstDKt47RKURRibrsexWqmKf8U1ZvWaprHkpJG/FXXA5C//WPqCo9rmgeg/Mhmjhx7n527/ylrGgrRSUnDUAghRIfjqa+j9JNl5Pz1t9Tv3w2KQvTC6wifPErraEIIIcRlq60rYOe+f+F1NmCLz6TH9HvQGUxax8IQHoG9Z1/N6rurK6nduwOg+USgXq9Zlq9zbNiJ62QeOouRrMXjtI4TdI2F1ez+4Zs4y+qI62Jj3m8Go9MFf+rcQCk+Uour0Yspzk7UkAyt4wghRMhwF5birXNoHeMshuhIom+ehT42CmVQgtZxiBwxlvBBw8Hn4/iX/8VZp22TLiKtD+bIeJzOanbufgGHo0TTPEKI4OsYK4wLIYQQgLuqksoNq6ndtQXV7QHA0r8H0TfOxJSZqnE6IYQQ4vLV1uaza/9/8LoasSVk0mPGtzQbXaj6fGSveRXLyMGEM0iTDGcyRsWQ/Pj3aTp4HEuPTK3j+HkdDVS99SkAWbeN6XRrF7oqHez96VJcFfUkdLNzx4ujsIQbtY7VpirzmtfpCkuP0WQNUSGECEUlnx2k6E8rsQ7rT/y9t2gd5yz2SSOxjR6MzmKGU9pmURSFxOvm4SorQW+1ojdZNc1jskXS6+rvcuzT52msKmL73n8ytP8dWK2xmuYSQgSPNAyFEEK0e87SYirXfU7dvl3w1ToEpq7pRM2djrVfx5n2SgghROdUV1fI3kOv4nU1YUvMosf0ezSdirRo92dUZe9ByT+INaMLhvAIzbIAODNcmEjClJ6kaY6zeH3EjUin/kQZqXM613SVnvom9v50KU2F1USnhXHHi6MIj9d2+txAON0wtCRFapxECCFChzU9BtXro2HzHhpGDSJsiHazELRGURQUixlofg1hOOpDb9HuOUpnNJF227fQmS006vWE56qaZYHmNQ17Xn0fx5a/QEN5Hjv2/ouBfUKv8SuECAxpGAohhGi3GvNyqFz3OY7DB/z3Wfp1J+LqyVj6dJMrvYUQQnQITV2j0J+wYo1Opvv0uzVtFtbkH6Zo92cAJF47T9NmobOkCFdCEyZCcxaBbn0boe/VeBtd6AyhM01qoHmb3Oz72Xs4TpZhjzNzxz87ZrMQoDKvebo9a4o0DIUQ4rSI3kmk3zicvDe3UfnyMiw9u6CzaTtyrjWqqlL/5Vaq3/qUtEX3YknVbmppfZjNf7suU0G34xS2uHTN8hjMYfS86l6Or/wX9SUn2XPgVc2yCCGCSxqGQggh2hXV56P+0D6qNq2l6VR2852KQtiwfkRcPRlzlzRtAwohhBBtzGyPptfV30VvDkNvNGuWw1Vfxcm1r4GqEjl8NBGDR2iWRfV6KX73DZwlhcR96yZsowdrluXrVFVtcdGS3qr9OpPB4vN4OfjER9TuL8ASbmDx8yOJSQ/TOlbAVOY3jzC0pkRpG0QIIUJM5m1jKN9wnMb8KiqXfEzcXfO0jtSqpoMn8DU0UbT0dTLv/T90Jm2fs1Wfj9KPllKzfRNdp95OdNZAzbLoTRZ6zLyHE6v+gy2pC0U7VmiWRQgRPNIwFEII0S54mxqp3bmVqs3r8FRXNt+p12MbO5jIqyZhTNF+wXIhhBAiUEz2aE3r+7weTnzxX3yNDZhT0oi/6gZN81RtWouzKB+dzYqlTzdNs3ydY/0OlKN7aLp3MpZEbadrDSbVp3Lk9yuo3HISo0XHwmdHkNSrY3/9/ilJpWEohBAt6M1Gev14Brt/uATHuu3YRg3E2r+n1rFaUBSFmNuux3k0G3d5KeWffUTC1XO0zaTToRiaT9dnr3sDS0Q81phkzfLoDCa6T78Hn8clDUMhOgmd1gGEEEKI83FVVlD6yTJO/umXlC1/H091JTp7GBHXTiH1Dw8Sd9eN0iwUQgghAix/ywc0lJ1CZ7WScvNidEajZllcleVUrFkOQPT8q9FHhmuW5eu8jgaq3vqU8nXHKFt3VOs4QaOqKieeW03p54fQGRTm/2kYWUNjtI4VUE6HB0elCwBrcpS2YYQQIgRF9k8l9fohAFT85118jU6NE51Nbw8j9s7m0Y/VW9bjOH5E40QQP+M6wrr2QHW5OP7Zv/E01WuaR9FJ+0CIzkT+jxdCCBGSGk9lU7jkP+Q8/STVm9ehNjkxpiQQs/gGUv/4U6LnzsAQ3bGvWhdCCCFCgaqquKMMoCgkzV2AMVq7RpCqqpS8/zaqy42lTzds44dplqU1Ne9+hq/OQVhmrP8kaWdw6rXNFLy3C4A5vxpEr4kd/2Ku06MLDREWDHbtpgoWQohQ1uXOCYRlxJB+XT8UY2hOdGcd2Av7FaMBKHlvCd7GBk3zKHo9yTfdhjE6Fld9JSdWvYTP69E0kxCi8wjNv9RCCCE6JdXrpf7gXqo2r6MpL8d/v6V/TyJmjMfSv0eLNYGEEEIIEXj1WToSsmYTOWwU5oQkTbPU7tpGY/YxFKOBmDvmhNTrAlduIXWrNwPQ/ftXoDPoNU4UHCWfHyLnpY0AXP1QXwZfk6pxouCozHMAsn6hEEKcj95qZNjzt6Ez6oFKcvLjtY7UquibZ9F04DieknJKP36X5HkLNc2jD7ORsuAu8v75DPUl2eSuW0LWpAUh9bpHCNExScNQCCGE5jx1tdRs30T19k1462qb7zTosY0ZQsTMCZhSE7UNKIQQQnRC7sZ69CYL0Dz9qNbNQk99HaUr3gMg8oZpGBNiNc1zJtXno+LlZeBTiZ/Uk+jBGVpHCory9cc4+rtPARh/R1fGLOiicaLgqStrnlrPHB86U+IKIUQoam4WNlNdblSfD50ltEZm68wm4r51E8W/eR5dVhSqz6f5VJzmhCSS5y+m4JUXqDy5m/i+E7AnZGqaSQjR8UnDUAghhGaaCvKo2ryWuv27wesFQB8Zjn3ySMKnjEYfJSdghBBCCC34PC6Or3wRX5iBlITFGOzaPyfrw2xEz52BY8c+ImaM1zpOC/VfbMF1Mg99mIlu35msdZygqNh8gsO/+hCfV2XQNalMf6C31pGCSjl9HlnVNIYQQrQb9SfLKH/yJZS0LOLuvlHrOGcxd8sg9Xf/D0NMJC48mE+ZtI6ErVtPEmffjN5qRe2dBbnypCOECCxpGAohhAgq1eul/tA+qjatbTHtqLl7JuFXjiVseD8Ugzw9CSGEEFpRVR85a5fQUJ6HLsyGz+XSOhIAriwP4VljsE8dHVJTcqk+H85NzVNydrlrAuY47ZurgVa5NZtDv/gAr0dlwFUpzPnVQHT60PmZBIPO0NwxVL+66E0I0X6pqkpjQRU1e/Jx5JRjCLdgjrVjirNjjrNjirVjjLSG1HNPe+RxOGnIrYCcCsIG9yFseH+tI53FEBPpv+3zeFBA8/MTkUNG+G/XZSrYc7woirajH4UQHZeckRVCCBEU3gYHNTu2UL11PZ6a6uY79XpsIwcSPn0c5i5pmuYTQgghRLOiXSupyt4Dej0p8+/AFKPt1J+e2hrc3XToaJ6+LNRO2Co6HUP+cgtFy/eRcu0greMEXNWOXA49/h5et49+05KY9+Qg9IbOd+JSb2j+PVS9MtpDiPZG9ak05FZQvTePmr351OwrwFXpOO9jFKMeS1IEsaO7Ej+xF+G9k0Lu+SjURQ1II/3mkeQt2Ur1K0sxd88M2VmF3MXlFL38OrbUnsTPvE7rOH7uqgoOfPoSWcPnyvSkQoiAkIahEEKIgHJVlFG1aS21u7eiutwA6MJthE8Zhf2K0RiiIjROKIQQQojTKk/spGjXZwAkXncjYVldNc2j+nwUvf0K7oZq4u67NSQvMMpKKwOMpN0wVOsoAVe9O49Dj72Lx+Wj95REbvzdEPTGztcshP+NMPR5ZIShEO1J+YbjHHt61VkNQoNJR9rAKFL7ReJs8FJX0kRtafM/R6UL1e2lMa+K/Lwd5L+9A3NCOPETexI/sSfhfZKleXiRsm4fS+W2bBwnyqj4z1LiH7g9JL937qJSXLmFuHILsXbpjr1XX60jAVCxZiXOogKOff4v+sz6PpbIeK0jCSE6GGkYCiGEaHOqqtJ0KpuqjV9Sf3g/qM1XXhvTk4iYPh7bqEEoJqPGKYUQQghxJkdpLjnr3wQgetwUIoeM1DgRVG9eR2PuSRSzCZ3NqnWcFnyNThxb96LekomiC72TnW2tZn8Bh36+FHeTj54T4pn/xyEYOmmzEM4YYejxaZxECHExVFXl1GtbyHlpAwBGq56MQdFkDY8ha3gMaQOiMJr1rT7W4/ZRX+6kYH81+1cWc2RNCc7SOvLf2UH+Ozswx4eTcEVv0uYOwxRjC+aX1e7ojHr6/HQWO+57lcY9h6lfu43wSdq/3vi6sCF9CZ82lrrPNlL8/utk3vtjjBFRWsciYdYcnCXFOAvzOLbiBXpf832MYXIRthCi7UjDUAghRJvxr0+4YQ1NBaf891sH9iJ85gQsfbqF5NWDQgghRGenqj5y1r2J6vFg692PuGlXax0JZ1kJZas+BiD6lqsxJmg7NerXVb+7krrPNnA4pzd9HtH++xVIjuxyDv/8HVyNXrqNieOWvwzDYGr9xHpncXrNRtUrDUMhQp230c2R3y+nbO1RAEbfmsnMH/e56L9jBqOOqGQrUclW+k1Lxt3k5dj6MvatKGpuHpbVkffmNore20Hi1YNJv3kE5lh7IL+kds3WJY4ud4zj5AtrqVnyIZY+3ULuOR4g+qZZOI/m4MotpPid10hb/B0UnbYXyujMZlIX3k3eP5/BVVXBseUv0PPq+zCYwzTNJYToOKRhKIQQ4hvzud3U7tpK1YbVuKsqm+80GLCPHUL4jPGYUhO1DSiEEEKI81IUHUm33UH5qk9IumG+5ifEVK+X4qWvg8eDZUBP7CE2+sCZnU/d5xsBSJzRT+M0geUsr2Pfw0tx1nnIGBLNgmeGn3MUTmdyeipWGWEoRGhrKqnlwKPvUX+iDL1B4dqf9Wf4vIxvdEyjRU/fK5Poe2US7iYvR9eVsv6lk+Ttqabg3Z2UfLxbGocXkDZ3GBWbT4KioOhD8zlFMRqI+86tFD3+DI05J6j88jNip8zQOhYGezipt3+bvBf/SmNVEcdX/JMeV92L3mjWOpoQogNoVw3DXbt28frrr7Nq1Sry8/Opra0lLi6O5ORkRo8ezeTJk7nhhhvQh+gTjRBCdDTexkZqtm2kavNavPV1wFfrE14xmvArRqOPDM0FzIUQQoi21t7fq9RlKphIIGX+Yq2jAFC5dhXOwjx0YRZi75wbUjMUqF4vlS+9Cz6VhCt6EzM8S+tIAeOpd7LvoXdxltUT38XGwr8Nx2QNzd/hYNMZZIShEKGuel8+x59YhqPShS3GxC1/GUbW0Jg2rWG06Ok3LZm+VyZxfGM5Xzx3tGXjcNag5sZhnLw3PpOi19HvF7Mx2MwoOjc5+Vonap0xKY6Y226g4oU3qVizEmtWN8K6dNc6FqaYONJuv5e8fz+Lo+wU+Vs+IHP8jVrHEkJ0AO2iYVhbW8sPfvADXn75ZdSv1sE6rbCwkMLCQnbs2MGzzz5LVVUVUVFR2gQVQohOwlVRRvXmddTs3orqdAGgj40iYuYE7BNHoDObNE4ohBBCBEd7fq+i+nzkrFuCdcxQbPTROo5fU0EeFWs/AyBm0fUYoiM1TtRS7coNuHILMYRb6PadKVrHCRhPg4t9j7yLI7sce5yZ2/4xkrBIeY132ukRhj63V+MkQojWFH28lxN/XYXXo5LcJ4IFzwwnKjlwa+EqikKPcfF0HxvHiU3lfPHcMU7trqJg2S5KPtlD6k0jSb9pJHqrMWAZ2htjuMV/OyutjJPHItBZQ2+UnH3sEJoOHsddWIoxKlrrOH7mxGTSbvsWZcs/IGL2VVChdSIhREcQ8g3DyspKZsyYwfbt2wFITU1lzpw5DBo0iMjISOrq6jh27BifffYZO3bs0DitEEJ0bE0Fp6hc+zn1h/fDVydFjamJRMyaiG3UYBSDXHEuhBCi82jP71VUVeXUxqVUHt+Bcmo/Xf/vZ+jDbFrHAsAQGYV1QC8Ug4Gw0YO0jtOCu7ic2mUrAej6rYmYojvmmkGeBhf7HlpK7YFCLBEGbvv7CKJTO+bXerlsUc3NU3d1g8ZJhBBfV7buGEf/3HzhSf8Zycz51aCgjY5WFIXuY+PpNiaOE5sr+OK5o5zaVUXuK5spXr6frt+aRPzkXiE1cl5rXqebk89/SenWQpIf/x46S+g1DWMWzUbR6/AZDHBK6zT/Y0nNIO3O76IoCnV2CM9VUVVVfr+EEJct5BuGt956q/8N+I9+9CN+9atfYbFYztrvySefpLCwELtd5gYXQoi2pKoqjSePUbnucxpOHvPfbx3Yi/Dp47H06y4vRoUQQnRK7fm9SuGO5ZQf2QyKQtKcW0KmWQjg7Wsmvs9tqG5PyL3GqPzve/hcHqKGZpA0s7/WcQLi683CO14YRUqf0BrlGQoikpr/X3fXNOJzedCZQv70ihCdgquqgZxnlgMwZkEWs37aV5PnEkVR6D4mjm6jYznwWTHL/3CI6sJ6Dv36Ywre20X3711BeI/EoOcKRb4mD+UbT+Apr6fytQ+Ju2ue1pHOcuYsSs4MF+yowhwfGj+/M3+/88u34D5wkqwJN2u+HrUQon0K6Ve0L730EitWrADgO9/5Dn/4wx/Ou39KSkowYgkhRKeg+nzUH95P5brPcRbkNd+p02EbPYiIqydjSg2NF8dCCCGEFtrze5WS/Wsp3rMKgIRr5xHed6DGiZq5q6vwDWxuXCqKgmIKvWnb+n5/NMefbaTnD6eHXDOzLbTWLEztH6V1rJBkjTBitOhwN/lwltdjTYnSOpIQnZ6qqhz9y2c0VLlI6hnOjB/11vxvtaIo9J+eTK+JCax/+SRrXzxB7YFCdt33KokzB9DlzvEddrT6xTJGWunz0Cz2/PgtHOu2Yx3QE9vI0Hht8nWqqlK9dCW1H68hZf5i7H0GaB3Jz11dSclHS8HrRdHpyBx/I4oiTUMhxKUJ6YbhU089BYDdbue3v/2txmmEEKJzUH0+6vbtonLtKlxlJQAoRgP2iSOIuGoihrjQmbNfCCGE0Ep7fa9ScXwH+VveByB26lVEDR+jcaJm7qpKcv7xB8IG9yFm8Q0huR5yVloZkMiQv8zXOkpA+Fwe9v9smTQLL5KiKEQkWqnIdeAsq5OGYYhyVTXQmF+Jq6oBV5UDd3UDil6PMcqKKSqMiH4pmKJDZ4S1+GZKVx2iYsNx9AaFuU8OxmAKnSUzjBY9U77dg6Gz01jx58Ps/biQ4k/3UbvpMFn3zyR+Yk+tI2oqalA6GbeO5tRrm6l6eSnmrukhee5BURRUlwtUlaJlr5MZ/0NMcQlaxwLAGBVD8twFFL39ChVHt4Kqkjn+JhlpKIS4JCHbMNywYQOHDx8GYPbs2URERGicSAghOjbV66Vu/y4qvlyFu7wUAMVqIXzqGCKmj0MfETrTqAkhhBBaaq/vVRxleeSsWwJA1OgJxEy8UuNEzVSvl6J3XkVtbMJdWoGiD50TvNA8msBTVglpWicJHNXr49CTn1CzNx+zTZqFFysiwdzcMCyv1zpKp+dtclOzr4CqnTlkzB+JMbJ5xFbJZwc4+cLacz6u/69vIHZUVwBKvzhEwXu7iBqaSfSwTCJ6J6MzhtbfI3FuTaW15DzXvG7hlO/0ILl3aD43RyZZuempIYy6OZMPf32A4iO1HPzlhyRe2Zfu35uCwX721OadReai0VTtzKXuUBHlL7xJ4k+/FZLNruibZuHKLcR5JJvCN/5DxrceQGcOjXUXw/sPRvV5KX73DSqObcPnddNl0q0oOvlbJoS4OCHbMPzyyy/9t0eNGgXAu+++y4svvsjOnTupqqoiNjaWIUOGMG/ePBYtWoTBELJfjhBChCx/o3DNZ7grygDQ2cKImDmB8CvHoLN23jcsQgghRGva63sV79A0Ik4NRfX5iJ85W/Np2k6rWLOSprwcFKuZuHvnoxhC66RWw5Y9VPzzLUy3jSFzwWit47Q5VVU59tcvKF9/DL1Rx4K/DpNm4UWKSLQC4Cyv0zhJ56P6VOqPl1K1I4eqnaeo2V+A6vYCEN4ziYQpvQGoNaRhSIhFH2lHH2FHF2EHrxdvrQNvnYMKXwZ1+fEA6Cu2U3uwiNqDRZx6dTM6i5GogWlEf9VADMuKDZm/m6IlVVU5+seVNNV5SBsQxYS7umkd6YIyh8Zw75JxrP77Mda+eJySVQep3nOKXj+eSfSwTK3jaUJn0NPnoVnsuPcVnEdzqPlwNVGzp2od6yyKQU/8d26l6PG/4iorofi9JSTfdFvI/H2IGDgMRW+g6J1XqTq5G9XrpcuUhej02r8WFUKEvpD9S7F9+3b/7cTERObOncu7777bYp+ioiKKior45JNP+POf/8z7779Ply5dgh1VCCHaJdXno27vTiq+PKNRaA8jYuZEwqeOQWcNjSvkhBBCiFDTHt+r1GUqKCgkXj8fVDVkrthvyD5O5drm9RRjF8/BGB+jcaKWvLX11LzxPqrXB6qqdZyAyH11M0Uf7UFR4ManBtN1ZJzWkdqNyMTmC+tcZTLCMJhq9hdw+KlPaSqqaXG/PiYSS78eVOkyafiqCWgbGX/Ra6G5+own9s44Gg8ep+nAcXx1Diq3ZlO5NRuAQX+4iajB6W37xYg2UfTRXqp25GIw65j760HoDaHxHHchBqOOaff3otfEBJY+vJuKU/XsffAdUq8fQpe7J6C3hN5avoFmTYmix/1TOf7salIHWnFoHegc9FHhxH13ASW/fYH6A3uo2vglMeMmax3LL7zfIBSDgaIlL1Gdu4+q7D3Edh+mdSwhRDsQsg3DoqIi/+1HH32UI0eOYDKZuO222xg/fjxGo5E9e/bw4osvUllZyb59+5gyZQo7d+4kJubcbzKdTidOp9O/XVtbG9CvQwghQo2qqjgOH6B81cf+NQqlUSiEEEJcvPb0XqW28CglpbtJTL8RRacLmUYhgNdRT9E7r4KqYpswHNuoQVpHOkvl6x/irmnE1iWO9JtHah2nzRV+tIfclzcCcM0j/eg/PVnjRO1LRFJzw1BGGAaeqqr+0Tvm+HCaSmpRLGYsfbph6dcda78eGJLivtEIH31UOPaJI7BPHIHq8+HOL6bxQHPz0OCsJnLg/+YlrjtWgi0zFp0pZE+rdRqNhdXkvrAagOkP9Ca+a/tbSiNjcDTffWcCK/50mC1Lcil4bxeV23Po88jVhPdI1Dpe0CVe2ZeYEV0wRlpx5Gud5twsPTKJueUaKl99n/LPPsLeux+m2HitY/nZe/UjZcHdNOaexHjFMDildSIhRHsQsq9sqqqq/LePHDlCdHQ0n3/+OUOGDPHff+utt/LDH/6QqVOncvDgQXJzc3n44Yf5xz/+cc7j/uY3v+EXv/hFQLMLIUQocpWXUrd/N3X7d+MqLQZAZ7MScdWk5qlHLdIoFEIIIS5Ge3mvUld4nOOr/o3qdmOOTyJ67KQ2O3ZbKP7gLbx1tRiS4olZeJ3Wcc7SsOsgDZv3gE6h549mdLi1zErXHOH4M82jOyff251R87O0DdQOnR5h6CyVhmGguKobOPXGVlxldfR99FoAit3dSPi/OzD3yEJnNgWkrqLTYcpIwZSRQuRVE1F9PnILdWSlleFtcrPvp0tRDHoyF40h+ar+KPrQuRijM1G9Pg7/bjmuRi9Zw2MYvSBL60iXzRRm4Nqf9af3lETe/fke6vKr2PvA63T93pUkzewfMtNdBosxsnnK56y0Mk4cDkNnCwvJ74F96mhc+cWYe2ahDokMuaacrXsvbN17AVCXCWHHm0D1oTdZNU4mhAhVIfuKxufztdj+wx/+0OIN+GlJSUm8/vrr/u2XXnrpvFfiPvTQQ9TU1Pj/5eXltV1oIYQIMe6aKirXriL3uT+Q88xvqfhiOa7SYhSTkYhrppD6u/9H5DWTpVkohBBCXIL28F6ltvAYx1a9iOp2Y+vRh8iR4y77WIFiu2YU+tgo4r8zP2An/S+X19FA5cvLAEibO4yI3kkaJ2pbZWuPcuQ3H6P6YPi8dKZ+t6fWkdql6NQwoHmEk9pBp6zViqqq5L+zgy0LX6Rg6Q7K1h7l2A6FnK+mGrX27xnUvxunR2fn5MdzYif49CZcFfUc+8tnbLv7JeqOFActi/if/Hd2ULu/AFOYnjm/GoROF3oNpUvVY1w89y+bRM8J8XicPo7+cSWHn/oUT4NL62iaqNiaTfHDv6d+7Tato7RKURRiF9+AfezZrwNDjc/t5si6/3D0k3/gbpAZ94QQrQvZhmF4eLj/ts1mY+HChefcd9CgQYwe3bz4vNPpZMOGDefc12w2ExER0eKfEEJ0JD63i9p9u8h/+Xmy//Qryld9grO4EPQ6LAN7EXvXPFL//BDR82ags8lVZUIIIcSlCvX3KrWFRzm+6l/+ZmHyLXegM4TW5DLODBfWfj1IferHmDJTtY5zlqrXPsRbXYc1PZqsxWO1jtOmyjed4PCTH+Hzqgy+LpXrfj4gJEdttAexWTYUHXjqnbgqQ3WlrfbHXdfEgUff58Q/1uBrcmPKSiXhR3diSIjVOhoApowUUp/6CdG3XoPOHkZjXhW7HlhC8Yr9WkfrVJzldZx6eT0As/5fX2LSwjRO1HaskUYWPjuCaT/ohU6vULrqEDvve5X6E6VaRws6x8kyPLVNVL/2Aa780G/MN0RUULF6RUheROKpqcJVWkRDRT6HP/wrTdWd7/dJCHFhIdswjI6O9t8eMGAAJtP5rxwbPny4//aJEycClksIIUKRqqo05udS8uE7nPz94xS//QoNJ46AqmLu1YWYO+aS9vTPSPy/O7BPGI7e1nHeTAkhhBDBFsrvVapPHeD4Z181C3v2DblmocdRj6v8fyeolBDKdpqqqiQNjkJvNdL7JzPRm41aR2ozNQcKOPKrD/B5VAZencKcJwah00uz8HIZzXpi0m0ANORUaJymY6g9XMSOe1+hYtMJFKOemEWzSXrse1gH9AypxrZiNBAxfTypT/0E6+A+qG4vR36/gmPPrEL1+i58APGN5b+zA4/LR+bQaIbNTdc6TpvT6RQm3dOdO/8zmohEC435Vez5/msUfrgnJJtRgZJ+0wiiR2Thc3kof+51fM7QHWmpuj0UP/kPKlavoHLNSq3jnMUUl0D63d/HGBOLq76SQ5/8lfqSbK1jCSFCTMg2DHv37u2/HRkZecH9z9znfNP8CCFER+LzeKjZuZXc5/5A3gtPU7NtI76mJvSxUUTOnkrK735C0kPfJnzSCPR2aRIKIYQQbSFU36t4nA1kr30N1ePB1qsfyfMXh1SzUPX5KH77VXJf+DONe49oHeecFEUhbc5QRr3+LSL6pmgdp804cis48vOleJw+ek1MYO6vpVnYFhK62YHm76/4ZnwuDwd/8QHOkloM8TEkPnIf4VPHhFSj8Ot0Nivx9y8i8vorAZqnjewA02KGOndNIyUf7wZg8rd7hPTvyDeVNTSG774zgV4TE/C4fBx7ehWHnvgIj8OpdbSgUHQKvR+8ClOsHXdhKZWvvq91pHNSjAYirp4MQMXqFdTt26VtoFaYYuNJv+cHWFIz8DU2cHT5P6jK3qt1LCFECAmdd49fM2jQIP/tmpqaC+5/5j4X86ZdCCHaM4+jnpqtG6jethFvfR0AislI2LD+2CYMw9K7q3+dDSGEEEK0rVB9r9LY00bSvEXUH9pL4rU3ouj1Aat1OSq+WE7DyaMoJiP62Cit47RK9XjoklUFgDHconGatuMsr2PfQ0tx1rpJGxjFzX8Ygt4grxXbQkL3cA59UUKDNAy/MZ3JQK8fz+T420eIvXMuurD28f+gotMRdf2VmHtk0nOSzd+8UlW1QzeytJS/bCfuRi8pfSPoPjZO6zgBZ4s2sfDZ4Wz8bzYr/nyYsrVHcZyqoP8TN2BN7vjnQE1RYfR5eBZ7fvI2jnU7sPTuhn3cUK1jtSp80gg8RaXULl9H8XtvYIyJxZKaoXWsFgw2O2l33EfR26/gOHKAk6v/S6b7RuJ6jtI6mhAiBITsO4SrrrrK/8Jq3759uFznH3K+fft2/+1evXoFNJsQQmjFWVpMyftvcfKPv6Ri9Qq89XXoYyKJunkWaX9+mLhv34y1b3dpFgohhBABFErvVVRVxeWooS6zOY+9V1+Srp8fcs3C+sMHqFy7CoDYO+ZiSk3UONHZGnYeoOyxP1CzL1/rKG3KU9/EvofexVlaR1yWjUXPjsAUFrLXDrc7/hGGOeUaJ2mfHLkVVGw56d+uSRxO/PcWtJtm4Zms/XqQV55CTn48qk/l4BMfUfSxjNxpax6Hk9IPmp9XJ93TvdM0ZRVFYdztXbnnv2MIjzfTkFPB/vv/S83+Aq2jBUXUoHQyF40BoOqVZbiLyzROdG5RN12FdVBvVLeHgtf/jbumWutIZ9GZTKTMX0zkiLHozGYYmKl1JCFEiAjZM8ppaWlMmjQJAIfDwauvvnrOfffs2cPmzZsBCA8PZ9y4cUHJKIQQweIsKaLg9X+R+7ffUbNjM3g8mLqkEXfvLaT+7v8RedVEdDar1jGFEEKITiFU3quoPi+5697k4Ed/xlUZuqObXJUVFC17DYDwqWOwjRmsbaBWeOsdVLy0jMaCaio2n7zwA9oJn8vD/kffx5Fdjj3OzO3Pj8QWff41N8WlSegWDkBDbkWnWlesLThyK9jzo7c49OuPObZDISc/XutIbebgsiLK1x7l6J8/I3/ZTq3jdCiFH+2hqdZDfBcbfaYmaR0n6NIHRnPvG+NI7hNBQ5WLfT95i5LPDmodKygybx1F1OB0Eqb0Rh8duiMrFZ2OuHvnY0xLxFtXS+Hr/8LnCr0pZBW9noRr5pJ5348xJyb7Lz5TVVmHVYjOLGQbhgBPPvmk//aPf/xjdu06e+7nkpISFixY4N++//77sVrlpLkQomNwV1dS/O4b5D73BxyHD4CiYB3Wj8SH7yXp0e9iGz0IxRBaIwiEEEKIzkDr9yo+j5sTn79MxbFteB31OAvz2uS4bc3ndlG05CXUxiZM3TKIvuVqrSO1qvLVD/DV1hOWGUvW7WO1jtMmVK+PQ7/9lJq9+ZjtBm7/x0iiU2VN67YW18WGogNPvRNXpUPrOO1GQ34le3/yNu7qBnRxsR3u4sewkQOJuHYKACeeXU3J54c0TtQxeJ1u8t/ZAcCEu7uj66TrRUYmWbnn5TH0vTIJr9vH4ac+5eS/1qH6OvZFC4pex4An59DrR9Pp2u3CU8JrSWe1kPCD29GF2/DiwtvYoHWkVimKgjEqxr9d4jvB4Q+exlkXuheiCSECK6TnIRkzZgwPPvggTz31FFVVVYwePZrbb7+d8ePHYzQa2b17Ny+++CKVlZUADB8+nJ/97GcapxZCiG/OVVlB9aYvqd6xCTxeAMKG9ydqznSMKQkapxNCCCGElu9VPE31nFj1EvUl2SgGw/9n777DoyrTPo5/z/RJnfQOIRB67wJWlCqo2Htb17Z23dVXXV117evae8GKqCiICogi0kR6LwFCeu+TZPqc948RVnctlCRnZnJ/ritXCknOLyGZnHPu574f0s65hKje/dvkc7e1hh+W4aooRRcdSdL1F6IYgu8StHX9NlpXbwadQq87JqIzBV/Gw6WqKntf/I6aZXnojToufHYYab1jtI4VloxmPfFZkdQWttBaUIs5IUrrSEHPUd7I5ts/xl3XgjEzlZS//gl9VKTWsdqUoijYZkxAdbiwf7OK3Y8vxBhtIX5kN62jhbSKhdvw1LdiS7cyaEq61nE0ZYowcN5TQ/nm2d0se30fxbPW4Ciup9dfJ2GICN9O8p//je6aXsXedQTtPRJDUjwpt1+JITEOf6QVirRO9PtUv5+qLz/FXVPBji+eofvxFxOTnqt1LCFEBwv6K6FHH30UvV7PY489htvt5rXXXuO11177n/ebOHEis2bNwmIJvTn3QghxgKNoP3Urvwt0E/400sjcJ4e4sydjzsnSOJ0QQgghfk6LaxVHfQV7F7+B216Hzmwh/cIricjuftSft71EnDeGaKUR65A+GOKDb3yYr6mZ2pmfAZB1zghieqdpnKhtFM1aQ9m8TSgKnPXIIHJGJmodKayl9IiitrCF5v3VxA2TfaB+j8/hZvvf5+KuacaYnhyWxcIDFEUh7oJT8TW30rp6Ezsf+Yphr1yMJVmK90fC7/VRPHstAOMuz0FvDOqhaR1Cp1OYcHNvkrpFMff+rdSs2ENrUS39HzoDa7pN63jtytvsZMeDX9C0s5yU+27EmBKcf+dMXf9T2HZ1caPb0oLRFqdhot+m6HRkXHwVZbPewlVWwp5Fr5I5/FSS+x+ndTQhRAcKib+u//znP1m/fj033HADvXv3Jjo6GovFQpcuXTjvvPP46quvWLhwIXFxwfmAK4QQv0dVVVr27qb4zRcofv05WnZuA1XF0r8nyXdcScpfr5JioRBCCBGkOvJapaW6iF1fPovbXocxLoGsq24M6mKhq4sbxWAg/sJpWPv20DrO/1BVlbp35uK3txCZnUj2JcdoHalNVH67k4I3VwAw5c6+DJjUubtwOkJ630AxvHl3pcZJgpuqqux6YhEt+2vQx0aTfMeV6GPCuyNT0elI/NNZmLpl4rU72fXoAtnr8ghVfbsTV5WdqAQzw86Q6+OfG3JaJle+NZroZDOtRXVsv/ld7Hnh/Xiksxjxubz4Wt1Uv/A+qtujdaQ/1PTNKvY/8zDNu7ZrHeU3GWPjyLryL8QMHg5+PyVrPmf/0vfxeYJvD0YhRPsI+g7DAwYNGsSzzz6rdQwhhGgzqt9P865t1C379j/7Dun1RI0dQvTEYzFlpGgbUAghhBCHpKOuVbwD0zCuS0ZnMpF+7qXoI4PzRrunvo7avBXYMk5B0QfvXsuqx4vF0IpDr6PX3yaFxSjShi0l7HlyIQBjL+3GMRfK+MOOkNHfBoA9r0LbIEHO7/Lia3GhGHQk/uUiDHHB13XcHhSDgcSrz6PumdfIOncEitI59907GqrPT9GsNUDgsc1oCd6/LVrpMjiO62aP451r11K+q4ltt82i172nhe0YXJ1BT997prL+6nfxFJVT98F8Ei6boXWs36SqKp6iMvD5KP/kHTIvvQ5rVnB2pOuMJlLOOB9zehbVC+dRn78RR32Z1rGEEB0kJDoMhRAinKg+H02b1lH4whOUfzgTV1kxislI9ISxZDzxVxKuOEuKhUIIIYQ4SFVV7F0VdCYTGRdfReYlVwdtsdDvclL6/us0fbmU+g+/0jrO78rJaaD/g6cz9MULic4N/XOv1uI68u7/FJ/HT79TUpl4Wx+tI3UaGf0ChS9HaQMeu1PjNMFLbzEy4OEZpNx5DZbc4LxR3l6MqYkkP/RXEkblaB0lJNWs2IOjpB5rjJGR53aun53DEZ1k4cqZo+k+OhG3w8f2v39GxaJtWsdqN+bEaHr/3xRQoHnpGppXbdQ60m9SFIX4S87AMrAXqttD6Yev466t1jrWb1IUhbjRx5J52XXoI6MwpKdqHUl0Ip9//jlnn3022dnZWCwWkpOTGTNmDE888QRNTU1BeUxVVVm9ejUPPfQQU6dOJTs7G6vVisViIT09nUmTJvHMM8/Q0NDQLvnbkqJ28lkITU1NxMbG0v3/HkYv+x8KIdqR6vfTvH0zNUsW4vnpxFCxWog5eQzRp4wJ+3E8Qgghfp3f4aT42vtpbGwkJkb2NRL/ceBaJe7Y8SSdMlXrOH9I9fspm/UWLbu3o7dFk3rfX4Kyg0hVVRRFITszeG/UHS53fSsbb/wAZ3kjWYNsXPHGaOnA6WD/mvQd9SWtDHzsLNnH8L/4vT50hsDPY0FJksZptJedWY2zsgl9hAljtNyH+iOqqrL+mndp2VfNidfmMv76nlpHCnpej5/P7t3C5i9KAci+fCxdLhgVtt2tBW+vovDdH9BZDKTce0NQL8D2O11UPvoq7oLSg+PlDVHRWsf6XZ6mBhRFR/4Tcr3SkQ5cB6zbnkJUdOj0fDXb/QzvV3lEPyvNzc1ceOGFfP7557/5PllZWXz00UeMHj36aKO22THz8vIYP348JSUlf3i8hIQEXnnlFc4888wjztzeQuenTQghQpSqqjTv3k7Ry09R/vG7eGqr0UVFYDtrIpn/uhPbmROkWCiEEEKI39SwZiXelmatY/yhmm++omX3djAYSLrxkqAsFgI0f7sa5/vv4G0Oj/14fC4P2+6di7O8kbjMCC58drgUCzVwoMtQxpL+kqqqbP2/T8n792L27Y7UOk5Q2PllLeuvfoe8p77WOkpIqPtxPy37qjFZ9RxzUbbWcUKCwajjzIcHceyVgX2OC95ayZ5nvkX1+TVO1j66XjQa29Au+J1eal+dHdT7hOosZpJvuQxDUjye+lpK33sdvyu4z0eMMTYUo0nrGCLM+Xw+zj777IOFu5SUFO655x4++OADnn/+ecaOHQtAcXExU6ZMYefOnUFzzLq6uoPFQrPZzKRJk3jwwQd5++23+fDDD3nooYfo0ycw+aO2tpZzzjmHjz766Kjzt5fQ36RBCCGCWGv+Hmq+XYCzuAAAxWomZtJxxEwYh85q1jacEEIIIUJC1mXXYAjSEaQHNG1aS/2KJQAkXnkW5pwsjRP9Ok9FNQ0ff4nf5SW2fwZpUwdqHemoqH6VXY8swL6rHGuskUtfHkFUgpxjaiGzfyzbFpVj312pdZSgUrl4Bw0bimgylZF6/ET0kRFaR9KcLiYKn9NDzfI91K3ZH7Z7zLWVog8DexeOPLcrEbFStDhUOp3CxFt6E5ti4ctHtlP+xWbcdc30vefUsNiz9+cUvY4+d01lx4Pz6X7tCdQGeSelPjaa5Nsup+Khl3CVFWPftpHYYW3TLSVEqHr99ddZuDCwD3ffvn1ZsmQJKSn/6Ra+/vrruf322/nXv/5FfX09V199NcuWLQuaY2ZlZXHHHXdw0UUXERcX9z///re//Y2bb76ZF154Ab/fz7XXXsuECROw2WxH9TW0B+kwFEKIduAsL6Vk5suUzHwJZ3EBislIzJTjyXjir9hOGy/FQiGEEEIcMmNCstYRfpejaD8VnwdWycZMO5HIYwZrG+g3qD4fNa9+hN/lxTa0C6mTB2gd6ajlv/Y9NSv2oDfquPDZ4SRmB3dhOZyl97MBYN8tHYYHeBpb2ffyUgBipp+MMTlB20BBwtwtk+iTA10L+175Pmy7vtpCa3EdTdtK0ekVxlwihdUjMfqCbM57aigGk47aVfvY9vd5+FwerWO1OVNcBIOfOpfo3JSQGDluTE0i+ebLiDt/KubTh2gdRwhN+Xw+/vGPfxx8/d133/1F4e6Axx57jMGDBwOwfPlyvv76yDv12/KYAwYMYO/evdxwww2/WiwEMBgMPPfccwwdOhQIdCXOnTv3iPO3JykYCiFEG/Lam6iY+yFFLz9Fa34e6PVEjz+G9MfvIO6cyeijZAyPEEIIIcKLK9qOYtBjHdoX2xmnaB3nNzV9tQx3fjH6SDO9bp+IogvuDoQ/Ur5gKyUfrwdgxj8Hkj0sXuNEnVtGv1gUBVzVdtz1LVrHCQr7Xl2Gt8mJMTOFmEnHah0nqMROOwlDjIXWwlrKv9qqdZygVfH1dgByxyURkyz7PR6pfqekccnLIzBa9dSvK2DbvXPxOcOvaPhz8c1bcReWah3jd5l7dCFm4rEoioKrixvV6w3qcapCtJdly5ZRXl4OwPHHH3+wqPbf9Ho9N95448HXZ82aFRTHjIyMxGT64w54RVE4++yzD76+ZcuWw43dIaRgKIQQbcDvclKzZCH7n/knTRvWgKoSMWoQGY/eRvzFp2GwyabQQgghhAhP1kG9Sb33ehL/fC6KLjgvMd2FpTTOWwxA7g0nYUkO7XOzxm2l7Hv2GwBOur4ng6ZkaJxImCMNJHYLdHhKl2Hge1C5KFDsSbhsBopB9tX8OV2klejpEwAoeGcVfrdX40TBR/X5qVy8A4Ahp2VqnCb05YxM5NKXR2Ky6mnYUMTWu+bgbQnuvfOOVO2P+Wy65UOqn38fX0ur1nEOid/houjjl6ldslDrKEJ0uAULFhx8ecqUKb/7vpMnT/7VjwuFYwLExPznGsThcBzV52ovwXk1J4QQIUL1+WhYs5L9Tz9M3dKvUd0eTN27kHrPtSRdez6GJFnpLYQQQojw4/d68dTX4eriBsCUkYLOEpwj11W3h5pXZqN6/SSOyyV5fB+tIx0VZ0Ujex74FJ/HT9+TUznh6h5aRxI/yRpkA6BxW5m2QYJA4Qc/AhA5ZgjmHl01ThOcok8Yhd4Wg6e+lZoVe7SOE3Tq1u7HXdNMhM1I7xOCezR3qMgeFs9lr47EHGWgcWspW+74GE9jcN6wPhoxfdMxJ0Thra6j9tWPUP3BP/bXsXU3rp351H2/mLrlS7SOI0SH2rr1P532I0aM+N33TU1NJSsrsFd6ZWUl1dVHNoJYi2P+93G7dg3O8yMpGAohxBFq2bOLgheeoOqLOfhamjGkJJL0l4tIvedauSgWQgghRNhS/X4qP5tF4ev/xrWvSOs4f8hTVYvibMEYF0HPW05GUUJ3FKm31c22e+fSUucmrU8MZz08CF2Ij1YNJ12HBhYLNm4L7jF47c3T6KBhUzEoEHvqiVrHCVqKQU/U8SNAp9BaUq91nKBT/mXgpuqQ0zIxmKRDta10GRLPlW+OJiLOhD2vkk23zsZV06x1rDZljLbQ975pKEY9js27aPpiqdaR/lDkyIHYzp4EQM3iL2hYs1LjREJ0nN27dx98uVu3P96v9ufv8/OPDfZj1tfXM3v27IOvT5069Yg+T3szaB1ACCFCjae+jqqFc2nZuQ0AXXQkttNPJur4kTJqRwghhBBhr2bxl9i3bgS9Dr/DqXWcP9RztB7Pa5fgKG/EGBuhdZwjpvpVdj3yFS37a4hKMHPhs8MxRcglfTA5UDBs2V2O3+1FZ+qc/z/GWCuj3/8Tu7+ux5gunWG/J/qUMfQ5vzvmxGitowQVV42duh/3ATBsRpbGacJPet9Y/jRzNDP/vIamwlo23fIhAx8/G2tarNbR2kx0bgq5N44n719f0zB3MaacLKz9c7WO9btip56A6nTTOH8JVV/MQTGaiB3y+51PQgSrpqamX7xuNpsxm399GklDQ8PBlxMTE//wcyckJPzqxx4OLY552223UV8fWCA0ffp0BgwYcESfp711zrNXIYQ4An6Ph/oVS6hb8S2qxws6HdGnjMF2+snorLIBuxBCCCHCX/3qZdSv/A6AhCvOxNq/p8aJDo0xNiKki4UA+99cQe0P+zCYdFz43DBsaVatI4n/ktAlgsh4Ey11bux5lcT277x7SxqiLESOHKh1jKCnj4qk3JlDNkc+3iwcVSzcjuqHrsPiSe4uxdT2kNw9mj+9fQxv/elH6ksa2Xzrhwz617lY021aR2szaZMH0LSjjIoF26h79X1S7rsZQ4JN61i/K3bGKfhdLuxfr6Ry7ofojEai+w/WOpbQ0Fz7ICyqUesYh8zZ7AG+PjjC84D77ruP+++//1c/prn5P13OFssf31+1Wv9zDmy3248oZ0cf8+WXX+att94CwGaz8cwzzxz25+goMpJUCCEOQfOu7RQ+/zi13y1C9Xgx98kh7cGbiD//VCkWCiGEEKJTsG/fTPWCeQDYzppI1NhhGif6baqqUvvmHKy7l2kdpU1ULt5B8YdrADjjwYFkDYzTOJH4NYqi/Gcs6dYSjdNoo7W4DlVVKShJ0jpKyGktqcfncGsdQ3OqX6V8QWAc6fAzpbuwPcVnRnDVO8eQ1C0SV3Uzm+/4GGdl0x9/YAjJvWE8UT1T8DY5sS9ZrXWcP6QoCnHnn0rUcSNAVan6+jP8HnlcEKGnuLiYxsbGg0933XWX1pE08+WXX3LDDTcAoNPpeOutt8jOztY21O+QgqEQQvwOT2M9pe+/QdkHb+Cpr0UfF0PiteeT8terMGWkaB1PCCGEEKJDtBbkUz7nfVBVok4aTczUE7SO9LtaVm2gedladj++EEdZg9ZxjkrjjjL2PLUIgOOv6s6gqZ23ay0UdB0aKOY2bivTOEnHc1Y1se6qt9l4w6yQGFccTNb/cwVrL3uTysU7tI6iufr1hbgqm7DEGOg/IU3rOGEvJtnCFW+OJqFrJK7KJjbf/hGumiPr2AlGOpOBfn+fRs6fj2PwTUO1jnNIFEUh/rIziDppNMm3Xo6nu9aJhDh8MTExv3j6rXGkAFFRUQdfdjr/+PzB4XAcfDk6+si60DvqmN988w1nnXUWXq8XRVF49dVXOf300w8ra0eTgqEQQvwK1e+nYe0qCl54nJbd20GvJ2bK8aQ/chuRowahKIrWEYUQQgghOkzt+m/A68U6pC/xF00P6nMhT3UdDe8HOiGzLx0T0uPVXDXNbL9vHj6Pnz4npTD+hl5aRxJ/oOuQQIdh0/ZSVL+qcZqOVfLJelSvH7dqkSksh8mYFujILPt8M6rauX5u/lv5l1sAGHxqJkaLXuM0nUN0koUr3hhFXGYEzvJGNt/+Ma7a5j/+wBBhSY0l65wRKDqF7MzQGP+r6HQkXHI6pi7pALi6uPG1tmicSoj2YbPZDr5cU1Pzh+9fW1v7qx8bbMdcsmQJ06dPx+l0oigKL730EldeeeXhRu1wUjAUQoj/4q6pouStF6ma/wmq04W5RxfSHriRuHMmo7P89ooYIYQQQohwlXj9hcRMO5HEa85D0QXvZaTq91P76mx8rW5i+meQde4IrSMdMb/Hx44H5+OpbyUlN5qzHh2MThe8hVoRkNY7BqNVj7fZRWth7R9/QJjwNLYeLPTETjtR4zShJ2rsMHRmAy0FNTRtK9U6jmbcdS3Urd4LwPCzZBxpR4pNtXLFm6OITbPiKKlny18/wV3fqnWsNudzeHDNehdXQWj9njnzCsh/5iGaNq/XOooQba5Xr/8siNu/f/8fvv/P3+fnHxtMx1yyZAnTpk072Jn4wgsvcPXVVx9B0o4XvFd6QgjRwVSfj7pl31D40pM4CvNRzCbiLpxGyv9dI+NHhRBCCNHp+H4az+Pq4kZnMhJ35kR0ZpPGqX5f0xdLce0pRB9hos+dk1H0oXvJm//q9zRtL8MSbeCCZ4ZhjjBoHUkcAr1RR9ZAGwCN20PrhvTRqFi8A7/Li6lrOpZ+uVrHCTm6SCsRowYDUDZ/s7ZhNFSxaBt+r0rWIBupPWO0jtPpxKVHcOWbo4lJsdBaWMuWv36MpzG8iob731pBxaLtVD/3Lr7m0OnYa127BdXhouLTD2jcuEbrOEK0qQEDBhx8ee3atb/7vpWVlRQXFwOQnJxMUtKR7Zncnsc8UCxsbQ08fj733HNce+21R5RTC6F79SSEEG3IWVpE4ctPUfPNV6geL5b+uaQ/dDMxp4wN6lX0QgghhBDtwWtvouiVf1Oxdn7IjMdz5RfTOO8bAHJvGI8lNVbjREeu8psdlH62EYCzHhlMQpdIjROJw5E1KLCPYdOOco2TdJyaFYGusMhjhwf1yOJgFnXcSABqV+fj9/o0TtPxVL9K+ZdbARh+VheN03Re8VkRXPHmaKISzbTsr2HzXz/B0+j44w8MEdmXHIMl3YavtoGal2ej+v1aRzokceefStQJo0BVqfzsQxrW/aB1JCHazKRJkw6+vGDBgt9936+++urgy1OmTAm6Y/53sfCZZ57hL3/5yxHn1ILcBRdCdGqq10vNtwsoeu1Z3JXl6KIiSLjqHJJvuwJDUrzW8YQQQgghOpyvpZmSt1/GU1tNy6qN+FtC40aha/d+VJ+fpBN6kXxyH63jHDH7nkr2/nsRACdc04PeJ8iki1DTdWigYNi4tUTjJB3D0+SgaUcZABGDQ/d3T2umnEx00ZH4Wt2dqth8QP26ApwVjVhiDAyYlK51nE4tsWskV745mqgEMy37qtly5yd4W1xax2oThigL/e6fjs5swLktj4bPFmsd6ZAoOh3xl55O9CljAKj6/GPqVy/XOJUQbeP4448nNTUVgKVLl7Jhw4ZffT+fz8ezzz578PXzzjsvqI65dOnSXxQLn376aW688cYjzqgVKRgKITotV1UFRa89Q933i8HvJ2L0INIfuY2osUNlVawQQgghOiWfo5WSd17BXVWB3hZDyt+uQh8VoXWsQzLwqj4MfOJscm86OWTP5TxNDnb843O8Lj89j03ipGt7ah1JHIEug+NQdOAsb8RV06x1nHZXv64A/CrGjBQMiXFaxwlZik53cJxr3do/3k8p3JR9ERjFOmR6JiarXuM0IikniiveHEVkvInmPVVsu3cufrdX61htIioniZ63TgCgaf53tK7bpnGiQ6MoCnEXTCNm8nEAVH/1GbXfLQqZSRBC/Ba9Xs/f//73g69fcsklVFVV/c/73XnnnWzatAmAsWPHMnHixF/9fDNnzkRRFBRF4YQTTuiQY37//fdMnTr1F8XCm2666VffN9jJJghCiE5H9fup/2EZNd9+BV4vusgI4i89nciRA7WOJoQQQgihGb/LSem7r+IqL0UXE0XKX/+EMTlB61iHJDuzGoC4IaE7xk71+dn5zy9xVjQRlxnB2Y8OQacPzcJnZ2eJMpLaM4byXU00bisl+YReWkdqV4njchnw8AwqKmR07tGKHn8M2adkYhvaVesoHcpZ1UTd6n0AjDync33twSy5ezSXvjKSNy5fTeOWEnY89AX97pse0vsDH5Ayvg/2vEpK56yn9vXZGNKSMGUEf0e/oijYzpmMYjLSOO9bHPZSUFUI0YVSQhxw1VVX8dlnn7F48WK2b9/OoEGDuOqqq+jbty91dXXMmjWLFStWAGCz2XjllVeC5pibNm36RbFw4sSJdO3alblz5/7u8RMTExk3btxRfx1tTQqGQohOxVNfS8Wns3AU5gNgHdiL+CvOxGCTDdWFEEII0Xn53W5K33sdZ0kRusgIUu74E8b0ZK1j/SFvbQOO2bNx3DAea1ro7lkIUPD2KurXF2K06LjwmWFYY41aRxJHoevQ+EDBcGtJ2BcMdSYD8SO70VSSpHWUkGfJ7UpSZmh0dbeligVbUf3QbUQ8STlRWscRP5PeJ5aLnhvO21evoXbVPnY/9TW9bpuIogv9AlX3Px9HS341Lfur8beGxvh1+KloeMYpGDNTiRjUG7fJi7nIpHUsIY6KwWBgzpw5XHDBBXzxxRdUVFTw4IMP/s/7ZWZmMnv2bPr16xc0x9y0aRMtLS0HX1+0aBGLFi36w+Mff/zxLF269Ijzt5fQXxIihBCHQFVVGjeuoeClJ3AU5qNYTMRfNoOkWy6TYqEQQgghOr3W/XsD50hWM8l3XIEpK1XrSH9I9fmoeeVD6tbsZ8/TobEH0W+pWbGHog9+BOD0fwwktZecn4a67GGB/dCbtpVqnKRjFEixsM10tu+lqqpULt4BwIizpbswGHUbkcC5/xqKTq9QuWg7+a9+HxZjMBW9jr73TGXoixfR+8TQ65COHDEAxRRYXOTMdFL7/Tf4Wlv+4KOECF7R0dHMnz+fuXPnMmPGDLKysjCbzSQmJjJq1Cgee+wxtm3bxpgxY0L6mMFOOgyFEGHP73JR+cUc7JvXAWDumU3Cn84OmRFbQgghhBDtzXhKD+KNMzBlpmDOztQ6ziFpnP8drrwC9BEmcm86Wes4R8xR1sDeJ78CYMzF3Rg0NUPjRKItdB0a2MuvJb8ab7MLQ5RZ40Tto3TeRpwVTfgGjcOUGfwLDUKBu7SSwqU/YkmNJeXkvlrHaXf2XRU4K5owWfX0PjH4R0J2Vn1OTOH0Bwby6d2bKflkPcZYK13OH6V1rKNmjI3gQD9/dmY1+3ZGoI8OveJh47xvafz2W5o2ryPz4j9jjIvXOpIQR+y0007jtNNOO+KPv+yyy7jssss67JhHcrxgJh2GQoiw5qoopfDlpwLFQkUhdsYppNz5ZykWCiGEEKLT8zbb8dqbcHVxAxB9wkjMPUKju8OZV0Dj598CkHvTyVjTbdoGOkJ+t5cdD87H1eyly5A4Jt7aW+tIoo1EJ1mIz4pAVaFpR5nWcdpN+VdbKfl4He7C8P0aO5orr4CCmauoWLRd6ygdouq7XQD0PikFk1WvcRrxe4aelsnkO/oAsP+NFZR/uUXjRG2rZsUeyv/2GC1rQu/rihg5EH18LJ6aKopefxZneefobhdCtD0pGAohwpKqqjSsXUXhq8/gqa1GHxdDyp1/xjZ9PIpOHvqEEEII0bl5GuspfuN5ime9hK85tMZX+Vsc1LzyIfhVUk7uS8r4PlpHOmL7Xvme5j1VRNiMnPP4EPRGOU8NJ12HBjo8GsN0LKmr2k7LvmpQwDqgp9ZxwoY5N7Bwo2lnOX6vT+M07Uv1q1R/nwfAgEnpGqcRh2LspTkcf1V3APY8vZjqZXkaJ2o7jdvL8LW6qXvzY9zFFVrHOSymjBRS770OY2YqPnsTxW89T/PuHVrHEkKEILkaEUKEHZ/TQflH71A1/xPwerEO7EXaAzdh6dVN62hCCCGEEJpz11ZT/PrzeGqr8Ttc+FudWkc6ZKqqUvv2Z/hqG7CkxdLjxvFaRzpi1cvyKJu3CYAzHx6MLc2qbSDR5g6MJW3YUqJxkvbRsLkYAFO3LPQxURqnCR/G9GQUqxm/00NrUZ3WcdpV45YS3LXNWKIN5I5N1DqOOEQn39iL4Wd3QVUh77EvaQyTLuqcPx2LbUgX/E4P1c++g6+5VetIh8UQF0vqXVdj7pOD6nRR9sEb1C1fEhb7TQohOo7sYSiECCvOshLKZ8/EU18Heh22syYRM3GcdBUeJlVV8dtb8Lc68Lc48Lc6f/my0wV+P/hVVDXwHL8fVVVRFAXFbEKxmNCZzf95bjaii4rAYItBHxeDYpA/QUIIIURHc1WWUfL2K/ia7RhSE0m5408YEmxaxzpkqsOFrrYcRa+jz91TMUSYtI50RBxlDeT/ewEAx16RQ6/jkjVOJNpDtxGBbRBadpXhc3rQW4x/8BGhxb6nCgBzt9DY9zRUKDodxtQk3PtLcJY3EJWTpHWkdlP5baADqt+ENAwmGUcaKhRFYfo9/WmudrJraRV5982h/zMXh+x48AMUvY6+95zKhuvfw1lRR81LH5B86+Uo+tD52dRFWkm57Qrq3vuc5qVrqPluAVF9+mNKlPMMIcShkbu1Qoiw0bRpHZXzP0L1eNEnxpF07fmYu3fROlZQUlUVX30TnrIqvDX1+Ooa8NY24K1rwFfXiLe2Ebzeds2gi45EHxeDIS428Dw5AVNmKsbM1EBBUVHa9fhCCCFEZ+MozKf0wzfwtzgwZqWRcvsV6GOjtY51WHJ62vE/dwGN20qJ6Z2mdZwj4vf42PnPL3HavXQZHMfJN/TSOpJoJ/FZEcSmWmiscNK4vZT4YdlaR2pTzXsDBUNTVxkl2dYMyQm495fgKG3QOkq78bu9B8eRDj41Q+M04nDp9ArnPD6E1y9bTdmORrb+36cMeeZ8jLGh3S1vjLXS74HT2XjjLJzb91I/60viL5qudazDohgMxF96BqasNBSLCXWoDYq0TiWECBVSMBRChDzV56N60ec0rF4OgHVgLxKuPhd9ZITGyYKDr6kZd3E5ntJKPKVVeEorcZdWojr+ePyYPtKMIeqnp0gzhmhL4GWrCfQ6FJ2ColNAp6DodCg6UP3gc3rwO9z4HB58Tjc+pxdfqxtPowNXbTOqxxfoYLS34Ckq/5/jKlYLpswUjBmpGDNTMHfvgqlLWkit7BNCCCGCSfPuHZTNfgu8Pkzdu5B862Uhda50YIoBgM5kIG5oV40THbn815Zh312BNcbIOU/IvoXhTFEUuo1MYNPnpTRsKg6rgqGqqrTsO1AwlGJPWzMmB7pTHWUN2gZpR7Wr8/G1uolNtdB1WLzWccQRMEUYuPiF4bx8wSoaS+rZfv88Bj52FjpTaN9ujspJos+dk9l+/+fYv1mFpV8PIob01TrWYVEUhejxxxx83dXFjfpjNfh9WDJkYb0Q4reF9iO4EKLT8zbbKf/oHRwF+wCInX4Ssaef3GlHkKpeH+6Sclx7i3DtLcK9rwhv9W/se6FTsGbYsKbZMCfHYE6OxpIcjTk5BktyNKaEKHTGti/QqaqKt8mBq6YZV3Vz4HmNHUdxHS0FtbQW16E6nLj2FOLaU3jw4xSLGXPPbCy9c7D06oapawaKQQqIQgghxKFQhiejXxCFuVsmCX8+F505tEZ51r/3OXFpKurFx6DoQ/c8r2blXko/3QDAmQ8Pkn0LO4GcnwqGjT/t9xcuPA2toFNAr8eYIaPu2poh5aeCYRh3GFZ+ExhHOmhqBjqdTJcJVdFJFi55aQSvXrSKxq2l7H5iEb3vmhJYWBzCEsflkn35WDwNrXSfkkDh/65zDim+pmbKZ7+Or6mF1NPOIWbQcK0jCSGClBQMhRAhy1laTNmst/A2NaBYzCRedQ4Rw/ppHatDqV4frn2FOLbtwbV7P+6CUlS355fvpIA1PY6I7AQiuyYQmZ1ARHYiEZlxmqz8UxQFY2wExtgIorr/780Fv9tLa0k9rQU1NO+voWVfNY3by/C1uHBu2Y1zy+7A5zGbMOdmEzGkDxHD+4fcSDUhhBCival+P4pOh6uLGwMxpN5zHXpbdMgtrGpZswX7tz9gB+JHZBPbLzS7mZyVTez715cAjL20G71PSNE4kegIB/YxbM6rwOdwo7eGVrH+t5jiIhkz5zryd1hlb/J2YB3chxEzL8eSEqt1lHbhaXTQsCYfgEHTQvMxXfxHSo9ozv/3MN65dg1V3+3CkhZLtyvGaR3rqHW5YNTB6QbZmdUUlITufqKK0YApKw3H5l1UzPmA1v17SZ5yBjqTWetoQoggI2d1QoiQ1LhxDZXzPwGvF0NqEsk3XowxvXOsbPVU1eLctgfH1jycO/ehOl2/+HdDlJnoPmnE9Ekjpm86Mb3TMESFzkmgzmQgKieJqJwkDvyPqj4/zfnVNG4poWFzMY1bS/HanTi35eHclkfd+59j7tWNyBEDA8XDmChNvwYhhBBCa76WZso+nEnk5JFEdhkMgCE+9G48e6pqqZ/5CQBZ548M2WKh6vOz8+EvcTZ5yRxg45Sbe2sdSXSQuIwIbBlWGkodNG4tJX5kN60jtRlFUWTRXjvRR0UQkRm+Yzqrl+Xh86qk9Y4hpYf8DIWDHsckctp9A/js3i0UffAjlrRY0iYP0DrWUTlQLATwe300fP4tMaeMRWe1aJjqyOisFpJuuoTGed/S+PkSmjaswVlUQNo5F2NODc1zKyFE+5CCoRAipKh+PzVff0H9qqUAWIf0IfGqc9FFhN4J26FS/X7c+cW0rNmCY9MuvFW1v/h3Y6yVuKFdsQ3tQkzfdCKy4kN+/Md/U/Q6onNTiM5NIfPMYah+lZb91dSvK6R6eR72XRW4dubj2plP3XvzsPTKIWLkQCJHDQrrnw0hhBDi17hrqih97zU8dbW4PqjCOqRvyI0gBVA9Xmpe+ABfq5uY/hl0u2ys1pGOWOH7q2naXoY5ysA5TwzBIPsWdio5IxLYUBpY+BZOBUPRvgpKksjOrNY6Rrs4OI70VClUhJNhZ2RRX9LK0lf2sveZxVhSYkJ6z+Gf2/3YQhq/24U7v4SkGy8OuWkNAIpOh+2MU7D0zqHmldm4a6oofPUZkidOJ3bk2F8USIUQnZcUDIUQIcPvdlH+yfu07NoGQOxp44k9bXxInqj9kYNFwrVbaV27FV9d48F/U/Q6YvqmETc8m/jh2UTlpoRdgfCPKDqFqO7JRHVPJuvcETjKG6lZlkf1sjzsuytw7tyHc+c+GmZ/QcSoIUSfNBpT13StYwshhBDtrjlvBxWfvoe/1Yk+MY7kWy4LyWIhQP3sr3AXlmKIsdD37qkhu3dh4/ZSit77AYDp9/YnPjNC40Sio3UbmcCGuSU0bAqffQw33PABprgILGedE5Ldy6HA/v1adpXuIm3qgJDtrv41jrIGmraXoSgwcIpco4Wb8X/pSV1JK1u+LGPPQ/Po/+zFRGTGaR3rqGXMGEr1ij04Nu2kYc7XxJ09SetIR8zSpztpD95E7esf49i8C3v5LmIJ3UVZQoi2JQVDIURI8DY1Uvr+G7jKS8BgIPFPZxM5epDWsdqUqqq48vbTsnozjo078DXYD/6b3mok4ZjuJB7bk7ihXTBEhs6I0Y5gTYsl69wRB4uH1ct2U/n1DloLa2n+fg3N36/B0i+XmCnHYenbQ1bOCSGECDuq30/tkoXULfsGAHOPLiTdeEnIjuluXb8N+zerAOj9t8mYk0JzZJ23xcWuRxag+gOdNIOmhs9Nf3Hockb+tI/hngq8za6Q2i7g13gaW7HvLAcg62KZ5tFenFt3U7duO1E9ksOqYFi1ZCcAOaMSiUmWn59woygKZzwwkPqSVoo3N7D973MZ8twFIX8PI6ZPGr1un8iuR76i6culGNOSiBo3TOtYR0wfHUnSzZfSvHQNESMG4I7yYC4yHdz/WgjReUnBUAgR9FyVZZS+9zrexgZ00ZEk33QJ5h7hMdYCwFtdR/OqDbSs2IC3uu7g2/URJhJG55B0fE/ihmejNxs1TBk6rGmxdDl3JFnnjKBxayll8zZSvXwPzu2BJ1PXdGKmHE/EiAFyIiyEECIsqH4/pe++Suu+PACixx9D3HlTUYyhe7mXEFVHrdlA+vTBJIzK0TrOEdv74nc4KxqxZViZdk8/reMIjcSmWknMjqSmoIWGzUUkjs3VOtJRcVYGFjbqbdHorKFdBAhmup8WfHiaHBonaTuqqlK5ODCOdPC08CmCil8ymvVc8MwwXjp3JU1Fdex85Cv6P3B6yE9GShnfh9bCWoo++JG6mXMwJMZh6R265yiKohB94qiDr7u6uKl+4X2MRJM04VR0ZinoC9EZhe4VpBCiU2jZs4uyj99GdbowpCaRfOtlGJMTtI511PxOF63rttG8Yj2uXfkH366PMJF0XE+SjuuJbXAWOpM8TB8pRVGwDczENjATR3kjpXPWU75wK+7CMmpemoVp0QriL5qOOSdL66hCCCHEUVF0Oox9M1FKCki4fAaRowdrHemopYzvQ3SvFCypoTvqsHpZHpWLtqPo4KxHBmOJksVfnVn3YxKpKWihfn1hyBcMXdU/FQzjQvf3MxToIqwA+FpcGidpO03by3CUNmCy6ul7SqrWcUQ7ik60cOEzw3jt0h+oW51PwcyVdLtinNaxjlr2ZWNxlNZT/X0etS+8Q/Ld12NMTdI6VptwFZTSunYrAC15O0mZfjaRub01TiWE6GhyJ1oIEbQa1v1A1RdzwO/H3KsbSTdcjD4qtPd88ZRX07R4Ja2r1uN3egJvVMA2pAupE/uTOLYHeovcTGpr1rRYevzlJLpefAyl8zZS8vE63PnFVDzwApFjh2I7exIGW4zWMYUQQohDpqoqfqcTby89ALGZJxN57LCQX1jld7nJ6R7YuzkiM17jNEfOVdPM/mcWAnDcld3JHhq6X4toG91HJ/LjrELq1xdpHeWouWp+KhjK3oXtShcR6O7xNodPwbDy6+0A9JuQhjlCbkmGu4z+Nk7/x0A+uXMTRR/8SGROEskn9NI61lFRdAq9/joJZ6Wd1qJavHWNYVMwNGdnkPzXP1H31qd4q+soffdVYoaMJGnSdFBkOpMQnYX8dRZCBB1VVan7fjG1SwI3WSLHDCHhijNRDKH5kKWqKs7te2j6eiXOLbsPvt2aYSNlQj9STu6LJUWKVR3BGGsl+5IxpE0ZyP43llO5eActKzfg3LCV6GknE3PK2JAe3yaEEKJz8DbbqZz/MZ7WelLvvgbFZAx0GYZ4sbBlzRbsH39O4r3TiOmbrnWcI6b6VXY/sRBHo4f0vjGceF1PrSOJIJAzMgGdXsFRWo+zsimkz/9dNc0AGKTDsF2FW8HQ5/JQtTRwPTzkNBlH2lkMPjWDit1NrHgrn71PfkVEZhxRPZK1jnVU9GYj/R88DXd9K1E5sRSUaJ2o7Vj79iDtoZtp+GQR9m9W0bRxDS17dpI06TStowkhOojcFRVCBBXV76d60ec0/LAMgNjpJxF7xikoSujNuve73LSs2oh98Uo8ZVWBNyqQMLo7GTOGYhucFZJfVzgwJ0bR+2+TSZ8+mL0vLMG+q4KGjxbQ/P0a4i+YhnWQjN0QQggRfFRVxb5tE1UL5uBvbgW9Hte+Iix9umsd7ah5yqqoe/Nj/E4PNT/sC+mCYdm8jdSvL8Ro0XH2o0MwGGVVvgBLtJGM/rEUb26gfkMhaZMHaB3piLmrAwVD6TBsXwdGknrDZCRp7ap9+Frd2NKtZA8P7QUu4vBMuLk3lXvs7FlRzba/z2XoixdhsoX29ChTXCSmuEgAsjOr2bvNjD42Oizu8ejMJuIvnEbEyAHUvjEHb0U1Vd/O1zqWEKKDyJWLECJoqD4flXNnHywWxl04DduMCSF3wuV3OGmc/x2ltz5K3duf4SmrQm81kjFjKCNnXkH/B08nbkiXkPu6wlFMnzSGPHsBvf46CVN8JN7KWqr+PZO6d+ehuj1axxNCCCEO8tqbKP9wJhUfv4u/uRVjVhppf78uLIqFfoeLqufexe/0YBucRbfLxmod6Yi1FNZS8Pr3AEy8rQ9JOVEaJxLBpMcxgbF19esLNU5ydBSDDkO0RToM29nBDsMwKRhWfbcLgEGnZqDTybVwZ6LTK5zz2BASukbiqrKz44H5+D0+rWO1mYatJVTe+xRN87/TOkqbsuRmk/7AjcRMPYH4i6ZpHUcI0UGkw1AIERT8Hg/lH79Ly65toNORcOVZRI0dqnWsw+J3uLB/s4rmr7/Ha3cCYEmLJeP0IaRO7I8hyqxxQvFrFJ1C6oR+JI7LpWDmSko/3YD92x9w7ikg6boLwmY/AiGEEKHLvn0TNd98gb+lFfS6wASGqSeE7Lj2n1NVldq35uAtr8aUEEWfu6ei6ENzXavf62PXYwvwuvzkjkti1HldtY4kgkz3MYl89/IeGjYWofpVlBAtmvS6fSK9bp/I/uJEraOENXNuNqPevyosriO9rW4a1+0HYMDENI3TCC1YY41c9NxwXr5gJY1bSsh/5Xt6/OUkrWO1idbCWrx2Jw2ffo0hOYHI0YO0jtRmFJORuLMn4Xc4tY4ihOggoX+FKYQIeT6nk7JZb+LYvxcMBpKuv4CIIX21jnXI/A4X9m9X0bRgeeBGHmDNiqPrRceQfEKvkL3p1dkYIkz0uO5E4oZns/uxBXiKyqm4/1niLplB1JghWscTQgjRiTVsW42/pRVT13QSrjwLU5fQHdf53+yLV9K6ZguKXkffv596cLxXKCr64Eea8yqxxhg544GBMk1C/I+sATbMkQZcjQ6a91URnZuidaSjIj/j7UtnNoX0Xpc/V/djPl63n4QuEaT0jNY6jtBIUk4UZz86mPf+so7SuRuJ7p1Kysmhc+/nt6SfOghHST0ln6yn9o2P0NuisfTO0TqWEEIcEbmLLYTQlLfZTsnMF3Hs34tiMZNy2+UhUyz0u9yB0aN3PEbDJ4vwt7RizYyj911TGPH6ZaSM7yPFwhCUMLIbw165hNhBWfidHmpfnU39h1+iqqrW0YQQQnRS8Zechm3GBFLvvT6sioWuvUU0zP4KgO7XHE9svwyNEx05+55Kij9YDcCp9/QjJtmicSIRjPRGHV2HxgHQuKVE4zRCdJya5XsA6HtKmhSaO7neJ6RwwjU9ANj39CKa91VpnKht5Fx1HInjeqB6fNQ89zbu4gqtIwkhxBGRO9lCCM14Ghsofv1ZXGUl6KIjSbnzqpDYh0f1+bAvXUPZ356gYc4i/M2tWDPi6H3nZEa8IYXCcGBOjGLQ42fR9dIxADQtXI594XKNUwkhhOisjMkJxE4/CcWg1zpKmzKmJxM/OoekE3uRfnrodvP7PT52P7EIv1el34RUBk4On6KuaHtdh8UD0LCpWOMkR8ZZ2cT6a9/lx1u/0DpK2FPdHvY89y17nvsWvzd093vzOTw0rN0HQP9TUjVOI4LBSdf2pOexSXicfnY8MB9vc+jv06nodfT5v6nEDsjA1+Ki6l9v4q1t0DqWEEIcNrmjLYTQhLepkZKZL+Gpq8WQFE/q3ddizs7UOtbvUlWV1k07Kb/3GepmfoqvwY4lNTbQUfjmZaSc3FcKhWFE0evIvvgYcv58HAD1s7+iZfVmjVMJIYQQ4SOnp51+90+n9x2TQrrjpOjDNbTkVxNhMzLt7v4h/bWI9tdjdGDfv4bNxag+v8ZpDp/X7qR5TxWewjKto4Q91eejbN4myuZtAn/oTjupXb0Pj8NHXGYE6f1itY4jgoBOr3DWI4OJTbPiKG1g978WhcVEH53JQL8HTieiawK+hiYa532jdSQhhDhscmdbCNHhvPYmime+hKe2Gn1iHCl3/hljaqLWsX6XK7+Yykdfpfrpt/GUVWGIttD9uhMDhULpKAxrmWcPJ+OMQNdD3Zsf4y4s1TiREEIIEdqcO/fRNSMwgkxRFHQmg8aJjlxzfjUl7/8AwNT/60dUglnjRCLYpfWJxRJjwNfqxr479EbW+ZweABSzSeMknUDo108AqFq6G4CBk2UcqfiPCJuJ858ait6gULN8D6WfbtA6UpswRlsY8MgM0qcNYsidY7WOI4QQh03ucAshOlRgz8KX8NRUoU+wkfq3qzAk2LSO9Zt8DXaqX/6QigdewLV7P4pRT9a5Ixj17pVkzhga0je4xKFRFIXu15xA/Kgc/G4vVc+9h6+5RetYQgghREhqXrmeysdeY9djC1BDuGMGQPX52f3kInxelT4npcgoUnFIdHqFnJGBxZL1G4s0TnP4/lMwNGqcRIQCb7OLxrX5AAyYJI+R4pcyB9iY/Ne+AOx/7Xsad4RH57IlOYbcm05GZzKQnVkNEBYdlEKIzkEKhkKIDuNtaaZk5ku4qyvRx8eS8rerMCTFax3rV6l+P/bvfqT87idpXb0JFEiZ0I+RM68g56rjMERZtI4oOpCi19H7zslY0m34auqpeflDVH/ojZASQgghtOTKL6Zu5qdA4GaaogvtTpPij9bSnFeJJcbA9HtlFKk4dN1HJwDQEIIFQ78rUDDUSYehOAQ1q/bidftJ6hZJSs9oreOIIDTq/K4MmJSG36uy88H5uBtatY7UplS/in/BHOrf+1yKhkKIkCAFQyFEh/C1tgSKhVUV6G0xpPz1KozJCVrH+lXu4goqH36Zurc/w9fiIqpnCkNfuIjef52EJSVG63hCI8ZoC/3un47ObMC5bQ8Nny3WOpIQQggRMrz1TVQ/+w6qx0fCMd3Jviy0x3S1FNZS/O4qAKb8rR/RSbKYTBy67j/tY2jfXnqwYy9U+JxeQEaSdoifFxdCdEFC9U/jSAdMTpdFFeJXKYrC6f8YSGK3SFzVzex65KuQ3N/1t9h3lVP80Vrs3/5A0xdLtY4jhBB/SAqGQoh2FygWvoy7shx9bDQpf7sqKPcs9Lvc1H+8kIr7n8W1twi91Uj3609k6HMXEN0zRet4IghE5STR89YJADTN/47W9ds1TiSEEEIEP9Xtofq5d/E12InITqD3nZNDurvwwChSr9tPz2OTGDI9Q+tIIsQkdI0kJsWCz+OncXto7Y/tc/w0ktQkI0nF7/M0OWjYUADIOFLx+8yRBs5/ahhGi4769YUUzVqjdaQ2E9M3ne7XnghAw5xFNC1eqXEiIYT4fVIwFEK0K5/TSck7r+KqKEUXExUoFqYlaR3rfzi27aH8nqdp+nIpqs9P4rgejHjzcjLPGIqil4dK8R8p4/uQMWMoAHVvzMZTXq1xIiGEECJ4qapK7cxPcecXY4i20P+B0zFEmrWOdVRK527EvrMcc6SB6X8fIF0z4rApinKwy7BhQ2iNJVX0CsZYK7qoCK2jiCBXs3Ivfq9Kas9oknKitI4jglxKbjTT7h0AQOE7K2nYXKxxoraTOWMoXS4aDUD9+/Oxfx8+BVEhRPgxaB1ACBG+/G43Ze+/jqusGF10ZKBYmJ6sdaxf8LvcNHy0APu3PwBgToqix1/Gkzi2h8bJRDDL+fNxNO+tonFLCdXPvUvqfX+RfVyEEEKIX+EpLqf1x82gU+h776lY021aRzoqjvJGimYuB2Dibb2xpVk1TiRCVffRCWycV0J9iO1jmDZ5AGmTB1BQEnyLQMONYjUz8p0rAy8bQm8Ra9V3u4DAOFIhDsXQ0zLZv7aWjXNL2Pnwlwx7+RJMceGxOCH70jH4XR5KPl5P3cxPUYxGosYM0TqWEEL8j9A74xBChAS/10vZhzNxFOajWM0k33YFpozgGuvp3FNI+d+fOVgsTD9tMMPfuFyKheIP6Qx6+t5zKqaEKDxlVbSs3KB1JCGEECIo9RxjZOBjZ9HzppOJG9pV6zhHRVVV9jz7DR6Hj24j4hl+VhetI4kQdqDDsGVPJZ5Gh8ZpRDBSdDqs6Tas6baQ62R217fQuClQDO8/MU3jNCKUTPu/fiR3j8Jd28LuJxai/nwvzxCmKAo5fz6e9GmDQIW6Nz/GW9ugdSwhhPgfUjAUQrQ51eej4uN3ad27C8VkJPnWyzFnB8/eLqrHS/1HC6h85GW8lbWYk6IY+NhZ5N4wHkOEdImJQ2OKjyTzrGEAtPywUeM0QgghRPDJzgyM7bYNziJt6kCN0xy9mmV51K8tQG/Ucdp9A9CF8D6MQnvRSRZScqNRVUKuy1CIP1L9fR6qHzIH2EjoEql1HBFCTBEGzn1yKAaTjro1+ymbGz7X2oqi0OOG8aRO7k+vOybRY5BH60hCCPE/pGAohGhTqt9PxdzZNO/cCgY9STddgiU3W+tYB7kLyyj/x3M0ffU9+FVSJvRj+GuXEjcstFe8C20kn9gbFHDtKcRTVat1HCGEECIo+BrtVDz2Ki2F4fO30dvsYu+L3wFw/FXdScyW/bjE0esxJtBlWL++QNsgh6Hymx1suu0jGhcs0zpK2PPWNbL3xe8onr1W6yiHrWrJTgAGTpFxpOLwpeRGM+mOPgAUvPY9zfnVGidqO4pOoddtE0kZH/j6sjOrw6aLUggRHqRgKIRoM6qqUvXlp9g3rwOdjqTrL8TaL1frWEAgW+NX31PxwPN4Siox2iLo94/p9P7rJAxRFq3jiRBlTozCNiQwjqxl9SZtwwghhBBBwO9yU/X027h25rP78fAZJVYwcyXu2hYSukZy7JXdtY4jwkSPMYF9AOvXFYbM74qzyk7j5mK85VVaRwl73toGSj/dQNkXm7WOclgc5Y007ShHUWDAJBlHKo7MqPO60uv4ZLxuPzv/+SU+V3h247lqmql//Flc+0u0jiKEEIAUDIUQbURVVWq+nk/j2lWgKCT++RwihvTVOhYA/lYn1c+9S8NHC1B9fhLH5TL89UtJHBscxUwR2g6sDGxds1XjJEIIIYS2VJ+Pmhc/wL2/BEOMhT7/NyXk9t36NfbdFZTNC4xEm35vf4xmvcaJRLjoOjQevVGHq9qOo6Re6ziHRNEHfqdVf2gUOEOZ6nAChNy2GdXf7QKg28gEopNkca44MoqiMOPBgUQlmmktrCX/le+1jtQu9r+xHPvOcqqffA3X3kKt4wghhBQMhRBto375t9SvXApA/GUziBw9WNM8B7iLAiNIHRt2oBj15N58Mn3vm4bJFqF1NBEmEo7pDjoFT0kF3uo6reMIIYQQmlBVlbr35+PYvAudyUD/h87AmhGndayjpvr85D29GFWFQVPT6T46UetIIoyYrHq6Dgv8ntSvK9A2zCFSdD/dRvL5tQ3SCfidLgD0IVYwrPqpYDhwsowjFUcnMt7Mmf8cBEDZ55upWbVX40Rtr8cN44kdkIGvxUXVk6/j3LlP60hCiE5OCoZCiKNm37qRmm++AiDu/FOJPn6ExokCmlesp/KhF/FW1mJOiWHI0+eRfuqgsFjpLoKHMcZKbP8MAFo37dQ4jRBCCKGNpoXLaV6yGhTofedkYvuGx43iss830bynCkuMgcl3BMf0DBFecn8aS1q3PjQ6SxTdTx2GqhQM25t6oGBoDZ2CYcv+Glr216A3KPQ7RcaRiqOXOzaJsZd2A2D/U1/hqmnWOFHbMkSYGPDwmcQN64rf6aH632/h2LJb61hCiE7MoHUAIURocxTtp/yzWQBETxxHzMRxGicC1e2h7oP5NC9dA0DciGz63DkFY6xV42RtQ1VVvE0OHGWNOMsbcJQ34ixvxN3Qis/hwe9w43N68Dk8gedOD4qioDMb0FsM6MxG9GYDOosRndmAOSkaa5oNa4YNy0/PjdEyOuZwJIzpTuOWEhybdhJzylit4wghhBAdqnXjDhpmBxaPdb/6BJKO66lxorbhqrFTPHM5ABNu7k1UolnjRCIc9RiTyKKnoGFTMX6PD50xuEfeKvqf1p3LSNJ2d7DDMDJ0CobVywKFjtxxSVhjjRqnEeHilJt6kb+mlvKdTex6fAEDHz3r4OKFcKC3Gun/4Olsf2A+davzqX72bRKvvZCIYf20jiaE6ISkYCiEOGLuulpKZ78JXi/WIX2JO3eK1pHw1tRT/fx7uAtKQYHsS8fQ5YLRIX0y6apppn5DIQ2bi2neW4WzvBFfq/uwPocK+N1evPZDe39DtAVrho2Y3mnEDswkbmhXDFFyk+y3JIzuTv7L3+PalY+/1YkuQgquQgghOo/c46Nwf5dJVPckMs4cqnWcNrPvxaW4WrxkDbIx/KwuWscRYSqlZwyR8SZa6tw07SjDNihL60i/6+B1lc+nbZBOwO8IFAwNIdRhWLMyME6xr3QXijZkMOk557EhvHjOcho2FFEyZz1ZZw/XOlab0pkM9LtvOrse+YrqZXm0zP8K6+DeKPrgXkQihAg/UjAUQhwRb0szpe++it/egik7g8RrzvvPfhYace4ppO6Ft/E0tGKIsdDn/6YSPzxb00xHwu/x0bi9lPq1BdStLaAlv/pX3y8m2UJcVgRxmZHEZUYQnWTGFGH46UkfeG7VY7TqQQWP04fH4Qs8/+nJ1eKlsdxBXVELdSWt1BW10Fzjwmt3Yt9VgX1XBaVzN6I3KMQM6kLCmO4kHNMdS3JMB39XgltEZhwRXeJpLarDuWMvEcP7ax1JCCGE6BDZmdWAlYGPnomi14XN6Pe6dQVUL8tDp1c47e8D0IXw4jMR3HQ6he7HJLLlyzLq1hUEf8FQr0Mx6lFMoVPEClVqiO1h6ChroCW/Gp1eofcJyVrHEWEmKSeKKX/rx7x/bKXwjWXEDetKVE6S1rHalM6op8/dU7GkxZJx+hDMSXUUlITX1yiECH5SMBRCHDa/y0npu6/hqa1Gn2Aj6aZL0Zm1vYhpXrWRurc+QfX4iOqeRL8HTseSEjpFLb/bS93a/VR9t5u6H/PxOTwH/01RIL2fjW6jEukyOI74LpHYMiIwmttnpZm71Ut9SSvV+XaKNtaz74dqavY3U7++kPr1hex9bglRPVPIOH0IySf1RmeQFW8A0b1SaS2qw1Px6wVeIYQQIpx4KqqJKN0ImUOAwMr4cOH3+tj34ncAjL4gm9ReoXNOKUJT7tgktnxZRv3aArjyWK3j/K7UyQNImzpQbmJ3gNjpJ9HzrBz0ltAY7Vm9LA+A7BHxRMSGRpFThJbhZ2WRt7yKnUsq2f3YAoY8f2HQj3E+XIpeR85Vxx18PTuzmrwfvJiypGtXCNExwueqTgjRIVSvl7JZM3GVFaOLjiTl9isxxGl3E0X1+2n4dDFNXwRu6iSM7UGfO6egtwb/RZXf46N+QyHV3+2mZtXeX4wZjYw30WNsMj3GJtF9TBKRcR03DtQUYSClZwwpPWPoPykDgJqCZnYvrWTXdxUUb6qjOa+S3Y8vpPCdVWSdM4LUSf3D6kbhkbCkxgLgrarTOIkQQgjRvry1DVQ+/jq+ukYUvY70UwdpHalNlX2+mdaiOiLjTZx4ba7WcUQnkDs2UHxr3luFq7YZc0KUxol+Wyhv9RBqdFYLkZkJWsc4ZDU/FQz7T5DChmgfihLo+i/cUEfzvmoK319Nt8vGah2rXVUvy6P8wfnETDoO29mTNJ/sJYQIf5377q4Q4rCofj8Vn82iNT8PxWwi+ZbLMKZpt7LU73JT++psWtdvByDr/JF0u3xcUF/EqqpK07ZSKr7eQc2KPXjtzoP/FpNiod/EdPpPTCe9vy2oRl8lZkeReFkUYy/rTkudiw2fFfPDO/toqWhiz7PfUvjeajLPGkbaqYMwhMjInLZmSfupYFhTr3ESIYQQov34Gu0Hi4URXeJJHBdeBTV3Qyul7y4H4OQbe2GNCf5FaCL0RSWYyegXS+n2RurXFpA6Scbbi9DiKG/EnleJooO+41O1jiPCWFSimen3DuDD2zZQMutHEo/pTnSv8P2Zc5Y3ggpNC5bhrW0g8U9no5jk3EQI0X6kYCiEOGS1SxZi37oR9HqSbrgIc452+2t46xqpfuYd3IWlKEY9PW85hdQJ/TTL80dctc1Ufr2dioXbcZT+p6AUlWCm74Q0+k9KJ2twfFAVCX9LZLyZY6/swegLu7Hh0yJWvrWXxooW8l9dRtGsNWSeOZSsc0Z0uo7DgwXDaukwFEIIEZ58La1UPvkG3soazCkxDHzsLEy2CK1jtamCt1bitHtJ6xPDsDOCey85EV5yj02idHsjdWv2B3XB0FVtZ8+z39LqMJF886Vaxwlr9R8tQEn2kD59MMYYq9ZxfteB7sJuIxKISui46Tiic+o/MY0B36SzdUEZux5bwLCXLw7b+w9Z547AFB/J7icX0bpmC5WNdpJuuBh9VHidfwkhgkd4PpoKIdpc867t1C37BoCEK8/C2r+nZlncRWVUPfUWvgY7xlgr/e6fTuyATM3y/Ba/10fdj/mUL9hGw9r9+H0qACarnn4T0xl4aibZwxPQ6YO/SPhrjBY9oy7oxrCzu7L1ixKWv7mX2oIWCmauomb5HvrcPZWILqEzQudoWQ8UDGsbUH0+FH147aUghBCic/M7XVQ9NRNPcQWm+EgGPX4W5qRorWO1qea9VVR8tQWAqXf2C9lzNBGaeh2bzNKX91K3vhDV50fRB+fYOVVVqf1hH+j1qKqKosjvSXtQ/X6aFiyjSVVJnTxA6zh/qHp5oGDY7xQZRyo6xrS7+7F/bS3NRXXsn7mS7n8+XutI7SbllL6YEiLZfv/nuHbvp/Lhl0m+9XIMiXFaRxNChKHgPAMVQgQVd10N5Z+9D0D0KWOIGjNEsyyuvYVUP/4KvgY7EdkJDHn+wqArFrpq7Ox/ayWrz3+V7fd9Tt3qfPw+lazBcZz2wCBu/24Cpz84mJxRiWFxI8pg1DHkjC78Ze6JnPnoECLiTDTvq2bTde9Q9sVmVFXVOmKHMMVHoRj14Pfjq2vUOo4QQgjRZlS/n+pn38W9rwhDtIUBj56JNSO8blKpqsreF5agqjBgcjrZw+K1jiQ6mYz+NqwxRnwtLuy7K7SO85sMkT91j/l8qB6vtmHCmN/eAqoKCkHfye2sbMK+qwJFgX4nh+9oSBFcImwmTr8/UEwv/XgdjdtKNU7UvuKGdmXw0+dhTorCU1ZFxYMv4mtq1jqWECIMSYehEOJ3+T1uyj+ciepwYu7Rhbhzp2iWxbF9DzXPvY3f6SWmXzoD/nkGhiiLZnl+7sDehKVzN1K7cg9+b6BIFpVgZtD0TIacnkVSTnitwv9vOr3CwKmZdBuZyGd3b2TfDzXsefob6tbsp9dtEzDGBveF7tFSdAqWlBgcJfV4quswJMmNRiGEEOFB0enIOCGLgoIiBjwyg6gc7fawbi/VS3fTuLUUo0XHxFt7ax0nZKmqSkudm+r85oNPNQUtAEQmmIhKMP/09NPLiWaSukWhN8paZp1eodvIBHZ8U0H9xiJi+qZrHelX6a0mUAAV1FYnyF5a7cLXaAfAGBsRtN2mBxzoLuw6LJ6oRBlHKjpO7xNSGHp6JhvmlrDr8YUMf+XiwGNUmIrKSWLIsxew9e7PiBvahe59HRSURGkdSwgRZqRgKIT4TaqqUvXFHFwVZeiiI0m87kIUgzYPG63rt1Hz8ixUj4+4YV3pd/9p6K3aX5z6XB6qluyibO5GmvdVH3x712HxjDq/G71PSu10N0Cikyxc9PJoVr+bzzdP76R21T7W7X6H3n+bTNzQrlrHa1eWtFgcJfV4q+v/+J2FEEKIEJGdWQ2ZQ0k+sTemuPBbAORzesh/dRkAx17ZA1tacO8VFmxqCppZN6eYoo31VOc342jyHNbHR8SZ6D8hlYFTMugyJC4k9vRuL91HBwqGDRuL6HrhaK3j/CpFp6CPMONrceF3ONHbwntRpFYOdA6Z4iM1TvLHqr8PFAz7T5RxpKLjTflbX/atrqGxrIH8V5eRe9PJWkdqV+akaIY8cx46c+B+WHZmNft2RaKzmFEMsi2KEOLoScFQCPGbGtevpmnjWlAUEq89H0N8rCY5mlduoPaNj8GvknhsLn3umqL5htaqqlK1ZBf7XlqKp6EVAKNFx4CpmYw6P5vUXtp8r4KFTqcw5tLudBuZyCd/20DN/ma2/PUTevzlJDJO126kbXuzpsZSD3ir67SOIoQQQhwVX1Mz9bO+ZNAdxwCBAlo4FgsBij9ai6vaji3dyrGX52gdJyT4fSp5y6v44b0C9q2u+cW/KQpkZunJ6WGge66BnO4GdHqorfZTU+OntsZ38OWKch/2ejdrZhexZnYRsakWBk7NYNDUdFJ7xmj01WknZ1QiAPbtpficHvQW7RdI/hpDpOlgwVC0jwMdhsH+uOusasK+s1zGkQrNWKKNzPjnIN668kfK5m8mYWwP4odnax2rXf28i9Lv9dH08hu43EYSr7sAg63z/e0UQrQtKRgKIX6Vo6iAqi8/BcB25gSsfXtoksO+ZDV178wFIGViP3rdOkHzkSyOsgb2PPMN9esLAbClWxlxXjZDZ3QhIjZ8x18cibQ+sVw9+1gWPrad9XOK2PfiEqJ6phAbpCOWjpa70QGAYpQ/r0IIIUKXt76RqifewFNWxe4nGun/4BlaR2o37voWyj9eA8Ck2/pgtMjq/N/jtHtY/1kxqz8opL4ksGhOp4PjTjQzdbqV3F4GsnMMWCyH1iXo9aqsXuXmy3kOFi900ljhZPkb+1j+xj5Se0Zz4rW59D05FUXpHF2HidmRxKZaaKxw0ri1lPgR2VpH+lXGGCuuKntgnz3RLny1gT3RTQnBPW6wZtkeALoMjSc6KTi2CxGdT/dRiYy+IJvVHxSQ9+/FjHj90rAeTfpzrYW1tORX42t1U3HfcyRefyGWntlaxxJChLDONSdPCHFIvPYmymbPBJ+PiGH9iJl6giY5Gr/6/mCxMOP0IfS6baKmxUK/10fRh2vY+Oe3qF9fiMGk46QbenHDFycx7vIeUiz8DSargWn3DWTg1AxUP+x+bCE+5+GNqgoFqs9/sIhs7Z+rcRohhBDiyHir66h8+BU8ZVWYk6LI+fPxWkdqV4Xv/oDb4SNzgI1+E6Q75rd43T4WP7ubp8YvZsHjO6kvaSU2VuFP10SyeEUSL78Vz7QzrPTuazzkYiGAwaAw7jgzj/zLxsr1KTzzso2TJ5oxmqAiz86sWzbw/g3raCh3tONXFzwURaHHmMAeoXXrCrQN8ztM8ZEoRj1+h0vrKGHLWxPY4sCSGtzdQlXf7wZggIwjFRo75eZe2NKtuCqb2P/WSq3jdJio7skMffFCIrIT8DXaqXrsVZoWr0RVVa2jCSFClLRACCF+QfV6KZv9Nj57E8b0ZBL+dI4mK3obFyyj4aMFAHS5YBTZl4/VdGVx065y8p5aTEt+YJ/CbiMTmPb3gSR0De4Vn8FCURSm3NWf/WtrsZfWs//NFfS47kStY7Wppl3l+Fpc6CIjMHXL1DqOEEIIcdg85dVUPv4avvomLGmxDHribCyp4TtmvbWkjoqvtgAw4ZbenaaL7XBV7G7ik7s2UZEXGJGY29PARZdHMn2GFau17b5nZovCxClWJk6x0tjgZ+brLbz+UjO7llZRtOY7jr++N6MvzEZvCO91z7ljk1j/aTH1QVww7Hf/dBSjnsLSZK2jhK24C6fR+9J+GCKDd1Gqs/Jn40hPkQUXQlvmCAOn3TeAt69eQ9lnG0g+oRcxYTrZ6L9FZMYz9LkL2P2vr6leupv69+fj2ltEwiWno4uUfZmFEIdHCoZCiF+oXvwFzqL9KFYLSTdegs5q7vAM9m9/oGH2VwBkXzaWrheN7vAMB3hb3RS8uYKyeRtRVYiwGZl4ez8GTc+Um0qHyRpr4rR/DOK9a3+k9NMNJI7pgW1wltax2kzd2gIALP16oOjC+0aWEEKI8OMqKKH26TfxNbQS0SWegY+fjTkxvBdG7X99BX6vSs9jk8gZmaB1nKDj96msmJnPd8/vwuOBuHgd9/0zholTLO1+Hhxr03HT7dGcepqF++5qYt0aNwue2Mmm+aWcdt8AMgfY2vX4WsoZnYCiC4yZc1Y1YUkOvg4zrfeT7wx0ZhORmcH9uFS9PA+ArsNkHOl/a6l3U5HXRMXuJiry7LhbvZgjDJgiDJgj9T89N2CK0JPcPZr0frHodHJ/4Wjljk1i8PQMNn1eyu6nvmbYSxejM3aOUeN6q4k+d08lpk8a+175ntYfN6N6PCTfeInW0YQQIUbO8oQQBzXv3ErDD8sASPzzORhTEzs+w/J11L07Dwh0FmpZLKz5YR97n/0GV3UzAIOmZTLx9r5Exnd8ETVc5I5LZtiZXVg/p4jdTy5k2KuXYogI3lWzh6P+p4KhdUBPbYMIIYQQh0n1+7G/OxtPQytRPZIZ8OiZmGwRWsdqV43bSqlZsQdFBxNv66N1nKBTW9TCnLs3U7QxMBbxpFPMPPBoLIlJHXvjtXuukXc+iuezjx08/lAT5buaeOWClYw6vysTbumDyRp+N4IjYk1k9LdRsqWB+vWFpE0eoHUkIX5V9dJAwbB/Jx9H6ver7F9Ty94faqjMa6J8dxP2qsMb1xthM9L9mCRyxybSY0wSMclSgD1SU/7alz0rqmkpqKVo1o9kXzJG60gdRlEUMs8cRnSfNPY8/Q19rh9JZGY1BSVJWkcTQoQQKRgKIQDw1NdSPncWADGTjiNiSN8Oz9Dy42Zq35oDQMaMoWRfPrbDMwC461rY+/wSqpcFLoDiMiOYdu9Auo+Rk6y2MPGOfuxbXU1DaRP5r3xPz1tO0TrSUfM0tmLPqwDAIgVDIYQQIaZbl1pS7p5KwTs/0PPmUzBEhffiKFVVyX/1ewCGnpFFSo9ojRMFD1VVWfdJMYuf2EZrq0pklML/3R/DjLOtmk3X0OkUzjw3ghPGm3n8ITvzPnWw+oNCSrc3cvELI4iwhcfis5/LHZMUKBiuKwjKgmHz3ioK3lmFyxBPwhVnah0n7Pga7XgXfk5xZhxZ547QOs6vclY2Yd/VuceROho9bPy8hDWzC6kpaPmff+/SVU+vvkZ69TZgi9PR2qLS2qrS0uz/6blKU6OfzZs8tDR42LqgjK0LygBIyY2mx5hE+Rt1BCJsJk69qx+z79hIyQerSTquJ5HZHb8YXkuxfdMZ9srFB/9uZ2dWs/nVHRjTU4gY3FvjdEKIYCcFQyEEfq+XstnvoDqcmLp3wXbWxA7P0LphO7Wvzga/StrUgXS/9oQOvymhqioVC7ZS9NpSnHYPOr3CMZfkcMK1PTFZ5eGyrZgjDZz+4GBmXvED5V9uIXFsD+JHdtM61lGpX18IKhizUjHYgm9slBBCCPHffC2tuPIK6DstsCAqoksCfe85VeNUHaNm+R6adpRjtOo5+S+y0OcAn8fPnHs2s+XLwA3rEaNNPPKvWDKzguM8OCFRz2NP25g2w8qt19VTvLmBVy9exaWvjCQuPbw6YnPHJvLdy3uo31CE6vOj6INr3L3P5aF21T70iXVaRwlLnooaKhdsxZIWG7QFwwOLa7OHxxOd2Lm64cp2NvLjh4Vs/7IYpzPwtqhohUlTLfQfYKRXXyO5vQxERR3a763Ho7Jlo4cVy1ys+N7Fti0eKvfYqdxjZ9U7++k3IY0Tr8klJVcKh4eq/6Q0Nn9Zyq6lVez+19cMefq8oHscbW8/v59m311BwycLwa8SOXYocRecij4yvP5uCiHaTnCc+QshNFXz9XxcZcXoIiNIuu4CFEPHjvZxbM2j5qUPUH1+Uk7uS+5NJ3d4sbC1pJ68fy+mcXMxAGl9YjntH4NI6xPboTk6i24jEhl1YTd+fH8/u5/6muGvXYoxOnQvNOsOjiPtpW0QIYQQ4hC4SyupfvYdvNV11GedRdzgLlpH6jB+j4/9bywHYNylObLv1k/cDh8f3rqevOXVGAxw653RXPanyKDcU2vccWben5PAVZfUUbG/hVcvXMWlL48ktVf4LNrKGGDDEm3AaXdiz6skpk9wjXw0xQf2N/U12FFVVfZ2b2PemsAoYEtq8F6LVn+/G4D+E9M1TtJx8lZU8d1Leyje3HDwbT17G7jgkgimnWElMvLIClJGo8KwkSaGjTRx0+3R1Nf5WbXCxYL5Dr5Z5GLbonK2LSqn/0QpHB4qRVGYdk9/9q9dhn1nOaXzNpE5Y6jWsTQT0TWBzBlDKZmznpaVG3BszcM24xSijh2Oog+/0d5CiKPTuZZXCCH+h33HFhpWB26aJFx1NoYEW4ce37k7n5rn3kH1+Eg8rie97piI0oE3JlRVpfzLLWy6ZiaNm4sxWvVMuL0vV30wToqF7ezkm3qT0DUSd00z+178Tus4R0z1q9StKwBk/0IhhBDBr3XjDqr++QLeylrMiVEYozpXwaz8i804ShuIjDcx7vIcreMEBVeLl7evWUPe8mosFnjxjTiu+HNUUBYLD8jtZeTDuYnk9jJgr3Yx87IV5K+p1TpWm9EbdOSMCozQO3CeGUzMCZGBF7xe/K0ObcOEIW9NoHPTkhqcRXBnRSP2XRUoOuh3cviPI3U0evjk/zbxzjVrKd7cgNEIU6ZbeP+TBOYtSuS8iyKPuFj4a+LidUydbuX51+KZtyiRCZMDf6e3LSrnuTOWMevW9dQUNLfZ8cJVbKqVibcGxm8WvbUMR1mDtoE0pLcY6X7NCQz+93lYs+LwNzVTN/Mzyu97Fse2PK3jCSGCjBQMhejEPI31VH7+IQAxk48jYnCfDj2+u6SCmmdm4nd7iR+VQ5+7pnTomAi/20vev74m79+L8Tj9dBuVyPWfnsDYS7ujN8jDY3szWQ2c/tBgAKq+3YHP5dE20BFq2lGGp74VxWLCnNtV6zhCCCHEr1I9Xuo//IrqZ9/B1+omdmAmQ1+8iKgeyVpH6zA+h4fC938EYPz1PTFHysAdj9PHu9evpXB9HdExCm+8l8BxJ4ZGETk1Tc97HycwfKSJZrvKe9euZsc3FVrHajO5YwPjguvX7tc4yf/SmQwYfpoO4qtv0jhN+PFWHSgYBucC1poVewHoOjSeqMTw3vN29/eVPHvG92z6vBRFgUuuiGDJD8k89Xwcw0aa2r27tlcfI8++Ese8RYlMnBL4ndv+dQXPn/49y97Yh6qq7Xr8UDf87C50G5mAx+FjzzPfdPrvV2z/DIa/eindrzsRQ7QFT0kldS+/j9/h1DqaECKIyB1xITop1e+nYs4H+FudmLplYjuzY/ct9DY0UfXvmYEbVgMy6Pv3U9EZO24UgrOyiY03f0jFwm0oOhh/U28ueXU0cZkyx70jZQ2KQ2/UofrBU9+qdZwjcmAcT8Sw/igGufEohBAi+LhLKih/4HmaFi4DFdJPG8zAx8/CZOtc5z1l8zfhaWglLjOCYTOytI6jOa/Hz6xb1lOwro7IKIU3349n2EiT1rEOS6xNxxvvxXPyRDNuF3x463rWfVKkdaw2kTsuUDC07yrHYw++m7mWlED324HxmaLteMqrAYjIitc4ya+rXh7oSArn7kJHk4c592zm3evXYa9ykZ2j5/05Cfzf/bEkJXf8CMdefYw883KgcHj8SWa8Xvj637v48NYNuFq8HZ4nVOh0CqffPwCDSUf9+kKql+7WOpLmdEY9mTOGMvLtK8iYMZTsy8eSk2snO7MaVVXxtYTmfRkhRNuRgqEQnVT9iu9wFOxDMZtIvOa8Dt230O9yU/302/hqG7BmxtHvH6ehNxs77Pj16wvZev1MmvMqibAZufjl0Rz3p9ygHrsUrhRFISohcGPKHYIFQ9WvUrNiDwARw/trnEYIIYT4dVE12/EUV2CMtdLvgdPIvWE8ug7es1prPoeb4tlrATjh6h7ojZ37Utjn9fPx3zYeHEP6ylvxDBgUWsXCA8wWhadfiuOs86z4/TD3/q1s/rJU61hHzZZmJbl7FKofGjYUah3nfxzofvNW12mcJLyoqoqnrAqAiC7BVzB01TZj31EGQN8wLRjmrajiuTOWsXFuCYoCl10VydyFSQwdrv1jZK8+Rl5+K477H47BaITtiyt4+fyVVOfLiNLfktAlkuP/3AOAfS8txdvs0jhRcDDGWOlx3YlknDbk4Nuii1dTduvD1L07D09V+Iz5FkIcns59lSREJ+UsK6bmuwUAxF80HWNKYocdW/X7qXl5Fu6CUoyxVgY8PANjjLVjjq2qFM1ew9a7PqG1wUN631iunn0c3Y9J6pDji18XmRAYY+Oub9E4yeGz767AVd2MYjFh7ZerdRwhhBDioANjt7Izq0mbOoDsK8Yx/LVLSRzTQ+Nk2iidtwlPo4P4rAgGT8vQOo6m/H6VufdvZfvXFRhN8Nxr8Qwfpf2N8KNhMCg8+Fgsl14Z2Ftv3t83UbQp9DvfDnQZ1q0t0DbIr7CkxaAzG1Bdbq2jhBV/YzOqywU6BWtGnNZx/kfNir2oKmQOtBGb2jHX8R1FVVW+/vcu3rlmLU2VTrpm63n/kwTuvDcGiyV4FhcrisJ5F0Xy7scJJKfoqM5v5vULlrHj2/AZydzWjr0ih8TsSNx1Lex/a4XWcYJW1ZJd+F1e7N/+QNmdT1L9wvu48ou1jiWE6GBSMBSik/G73ZR/8j74/EQM70/kuGEdevz6WV/i2LgTxain3wOnYU23dchx/W4vux7+iv2vLUf1w5AzsrjinbHY0jvXKK5gFPVTwTAUR5Ie6C60DuyNYuq4LlkhhBDit6iqSsuaLdT9899k2kqAwM3FrheMwhQfqXE6bXhb3RR/FOguPPGa3E6/V/WSF/PYOLcEvR6eej6OY48Pjz3IFEXhb/dGM35CYDzpnJtXU18WeueXP3dgH8O6tQVBt/dWt8vHMe6LG4k99USto4QVvS2acfNvZPhrl3bolh2H6sD1T7iNI/V5/Xx27xaWvbEPCOxVOHdREkNHBO9iisFDTXz6VSLDR5loaVb54Kb1LH5mF35fcD1WBAODSc+0ewMTgco/30TTLimu/po+d09l4ONnETc8G/wqrWu3UvHAC1Q88gqOrXlaxxNCdJDOfaUkRCdU/fV8PDVV6G0xxF92Rrtv0v1zTYtXYl+8EoA+d04mtl/HrO72NDrY8rdPqPpuFzqDwqn3DuC0fwzCaA6+C7DO6D8dhqF1Q0dVVaqXyzhSIYQQwcO1v4TKR1+l5sUPaN5bRfEn67SOFBRK527E2+QkoWskA6emax1HU3krqlj68l4AHnw8llMmWTRO1LZ0OoXHn7HRu6+B2ho/712/LqT39+o6LB6jVY+7tpmW/TVax/kFncnQodeSnYneYiSya4LWMf6Hp7GVpi2BbqN+p6RpnKbtuB0+Zt28ng1zS9Dp4J9PxPJ/98ditQb/z3dikp63Pog/2F39/Wv7ePe6tTibPRonCz7dRyUy6NQMVBX2PL0Y1efXOlLQURSFuKFdGfjomQx79RJSTu6Lotfh2r0f5+JvtY4nhOggUjAUohNpzttB45pAwS7hT2ejj+q4VeatG3dQP+sLALr96ViSju/VIcd1lDWw8aZZNG4txRJt4OKXRzPinGy5uA0iUYmhOZK0Jb8aZ1kDOpMB68CO+XkWQgghfo23pp6aVz6k4h/P49q9H8Wop8tFo+l64Wito2nO2+yk8pMfATjxmh6duruwodzB53cFisjnXRTBjLPDc9JGZKSOl96MJylJR+UeOx/dsTFkO26MZj05IwKFo7q1+zVOIzq7mlX78PtU0nrHEJ8VHo8fjkYPM//8I7uWVmE2w/OvxnHmuaH1tRmNCnfdF8MTz9qwWGDPymreuWZtSC+WaC+Tb++DJcZA894qSj/fpHWcoBaVk0TvOycz8t0ryTx7GJnnDNc6khCig3TeqyUhOhlvSzOVc2cDED1hLNb+HbffmqughNpXPgC/StqUAWSdO6JDjtu0s5ztN7+Lo6Se2DQrV74zjpxRHbdfozg0oTqS9MA4HnO/nugs4THKSwghRGhRVZX6TxZRdteTtPywCYCUk/sycuYVdLtsbFCOs+toxR+tw9HkIblHFAOndN69C30eP7Nv30BDvUrf/gbu+nuM1pHaVVq6nhfeiMNsht3Lqlj01E6tIx2xA/sY1gfZPoaqX2X7/Z9T++C/8DWH1nl8MKt9Zy55/15Ma0md1lH+R81P01X6nRIe40ibKp28ftkPFG2sJzpG4Y33EjhpQuh2XU873cp7nyQSE6NQtKmed65dg6tVioY/F5VoZsLNvQEombkcV41d40TBz5IcQ/erTyBhZDetowghOogUDIXoBFRVpXLeR/ia7RgzUog7a1KHHdvXYKf66XfwO73EDetKjxvHd0h3X83KPWy740Na6tyk9YnhqvfHkdwjut2PKw7fgYKhuyG0bjTIOFIhhBBaUxSFCF81qsdH7KAshr54Eb3vnIwlJbyLQYfKXddC+WeBjrqTb+iFTt95J0ws+vcuijc3EB2j8MxLcZgt4f+9GDjYxCP/sgGw8u39rPukSNtAR+hAwdC+rQRvq1vjNP+h6BSadpTRvK8ab03wFbdCkaqqtPywifIvt+B3+7SO8wveZieNGwqA8BhHWlPQzKsXr6Jyj52kZB3vfZLA8FHBu1/hoeo/0Mgb78cTHaNQuKGed69bi1uKhr8w/KwuZA2y4Wrxsu/FpVrHEUKIoCMFQyE6AfvmdbTs2gYGPYlXn4tiMnbIcVWfj+qXPsDX0EREl3j6/n0aOkP7r3QvnbeJHfd/jsfpJ/fYZC6fOZbopNBdKRjuzFGBn0dPo0PjJIeuYVMxrQW1KHod1sG9tY4jhBCik/DWNVI/+ysSWraSnVkdeLp0LP0fOp1BT55NdM8UrSMGlaIP1+Bx+MgcaKPPSZ33e7N3VTWr3gmMs3z0KRtZXQ0aJ+o4U6Zb+cstUQB88dBW8tfUapzo8CV0iSQ+KwKfV6VhY3AVPS2pgcUJ3iopGLYFX0MTqsMJOoWIzDit4/xC7ep8fF6V5O5RJOVEaR3nqFTutfPOpctpKHPQtZueWZ8l0Kt3x9wj6QgDBpl44714oqIVCtbVMfv20B3L3B50OoXp9w5Ap1eoXpZH3foCrSMJIURQkYKhEGHO29JM1dfzALCdfjKmLukdduyGTxfj2r0ffYSJfg+chiGy/cc2Fn3wI3uf+xZVhWFnduH8Z0dgjug8N0VC0f41NQBEZidonOTQeFvd7H5yIQCRxw5HHxlae1wIIYQIPe6icmpe+ZCyOx6jacEyij9ae/DfzIlRJIzuLvsz/xd3QytVX20CYPz1PTvt98fd6mXeA1sBuPCyCMaH8Li9I3X9zVFMmWbB64VPb/sRe41T60iHreexyQDU/ZivcZJfsmbGA+CtqNE4SXhwF5YBENElHp0puK5hq5flAdA3xMeR2mucvHPtWupq/fQbYOSDOQlkZgXX97otDBxs4tW348NiLHN7SOsdw6jzuwKw74Xv8HuCq6NXCCG0JAVDIcJc9cJ5+JtbMWalETPpuA47buumXTR9uRSAXrdNIOKni8n2VPzRWva/uQKAE67tybT7BqI3yMNcMFNVlR2LywFIOr6XxmkOTf7LS3FWNKFPjCPu3KlaxxFCCNEJVD7yCi0/bEL1+YkdlEXKKf20jhT0Sj/dgMfpJ6NfLD3GdN49rJe8uIf6Egdp6Tpu+WvnHM+vKAoP/8tG774GGupVPn9gG6oaWt02vY4PFAxrf9wfVNkPdMF5yqs1ThIe3IWlAET3CK6OaG+rm8Z1gS7l/iE8jtTj9PH+DetpLA90Fr7xfjwJieG71+/Q4b8cy7w2RMcyt5eTrutJZLyJ1qI6Sj/boHUcIYQIGnInXYgw1rJnF/bN60FRSLh8BkoHjAMF8NbUU//GhwBknD6kQwpBJZ9uIP/VZQCceH0vTryuV6ddSR5KKnY1UV/SitGiI35E8G+iXftjPuVfbQUFEv90Njpr+3fNCiGEECiQfFJvhr54EYP/dQ4Jo3O0ThTUvM0uquavB+D4q3p02nPCsh2NrHon0JF23z9jiYrqvJf/FovCo0/ZMBph55JKNn9ZpnWkw5I9PB6jRYe7tpnWguAZqxrRJbAo1FMhBcO24C4I/FxGBdl46bof8/G6/SR0jSSlZ2guPPD7VebcvZmSrQ3E2hRemRmPzRb+j4lTplu54dbACNkvH9rKvh+lG/gAa4yRCbcEthcpeW8lrppmjRMJIURwCP+/jkJ0Un63i8r5nwAQfcoYzDlZHXJc1eul+sUP8NqdRPdOJefq49v9mKXzNrHvxe8AOP7qXE64pme7H1O0je2LAxfFsSO6o7cG974RniYHeU99DUD0hHFYesvNWiGEEB1j2GuX0uf/psoehYeobP4mnHYvSTlR9O6kexf6vH4+u28Lfj9MmWbhhPGdbxTpf+vd18h1NwVunC9+ZDNNVaEzmtRo1pM9PDC+v25dgbZhfsaa9VPBsLwqqDofQ9WBDsOo3GSNk/xS9fI9APQ7JTVkF2B8+9xuti0qx2iE516NI7tb+I0h/S3X3RTF1NMCY5nn3LKG+rJWrSMFjSGnZZI1yIa71Uf+K99rHUcIIYKCFAyFCFO1SxbhbahDn2DDNmNChx23fvYC3PnFGKIt9L3nVHTG9u1qLPtiC3uf+xaAcVf04MTrQ2OspfhpHOnXP40jPS74i7x7n1uCu7YFQ1oStjMnah1HCCFEJ2JJCs2ODi34nB5K5gS6C4/7U3d0utC8uX201n1SRPnOJmJiFP7v/hit4wSNP10bRb8BRhobVeb9Y2tIFblyxyYBUB9MBcN0GzqLkYjUGNTW0CnABiO/y43RpIICUd2Dp2Doc3hoXLsPgP4TQnMc6Ya5xXz/WuBreODRWEaO7lxTYhRF4eEnbAwcbKSpSWXO/23G7wudx772pNMpTLu7P4oCVd/tomFTsdaRhBBCc1IwFCIMOctKqP8hsDoq4ZLT0Vk65oS4Ze1W7ItXAtD7b5OwpMa26/EqFm5jz9OLATjmkhxOvrl3yK547Iwq8+zUFrZgMOmIHxXc3Xq1q/Op+m4X6BQSrzoHnSm4uyGFEEKIzqpi4TY8DQ5sGVYGTk7XOo4mXC1elrwY6Ai66Y5oEpPCd4+uw2U0KjzyVCxGE+z+vopNn5dqHemQHSgY2rcW43N6NE4ToDPqGff5DQx//VJ0kVat44Q0ndnEqPeuYuxnf8EQYdI6zkF1a/fjcfiIy7SS1if0Fh/kr6ll/j+2AHDNDVGccXaExom0YbYoPPmsjYgIhYJ1dayYma91pKCR3jeWEWd3AWDP89/i9/o0TiSEENqSgqEQYUb1+aicNxtUlYiRA7EO6t0hx/VU1lD/1scAZJ07goTR3dv1eJXf7CDvX4sAGHVBNybe3leKhSFmx4FxpMO7BdVF8X/zu73seykw8jZmwrEdNt5XCCGEEIfH7/FRPHstAMde3h29sXNe7q6YmU9LnZuu2XrOuaBz3hz/PT17GbnhlkDX7tePbaGpMjQ64xK7RRKbZsXr9tO4pUTrOAcpnbSLt70YooKr+616eR4A/U5JC7nr7ZqCZubc8iMeD0w+1cKNt0VpHUlTXbIN3P2PQNH3u+d3UbajUeNEwePkm3oRYTPSWlBL2bxNWscRQghNdc4rKCHCWP3q5bjKS9FFWIi/cFqHHFP1eql5cRa+Vjcx/TPIvnxsux6vZuUedj++AFWF4ed0ZfKd/ULu4kXAjsWhMY605JP1OEob0NuiiT1tvNZxhBBCCPEbqr7diavaTlSimaFnZGodRxP2Gic/vr0XgFv+Go3RKOfIv+aKqyMZONiIvUll7v1bQmI0qaIo5I5NBIJrH0MRvnwuD3WrA51ooTaO1NHk4d3r1tLYqDJoiJFHnrJ12hHVPzfjHCunTLbg8cDHf9uI2yHddAARsSZOuTmw2L7k3RW461o0TiSEENqRgqEQYcTTUEftdwsAsJ07FX1sx+x30/DpYtyFpYF9C++eis7QfmOPmnaUsfvhL1D9MOSMLKbePUCKhSGofFcj1fnN6I26du9GPRqtJfUUfrAaANs5U9BZg2vFrxBCCCECVL9K0YdrABh3aTeM5s45hnPpK3tpbVUZONjIxKkWreMELYNB4ZF/xWIyQ97yajZ8Fjwde78nGPcxbNhczPpr3qXqmXe0jhLSyv/xPJvv+BhHWYPWUQ6qX1eIz+EhNtVCRv/23W6krc3/5zZqi1pJz9DzwutxWCxyzwACCw8eeCSWpGQd1ftbWPzMLq0jBY1hM7LI6B+Lq9lL/mvLtI4jhBCaCdmC4WWXXYaiKAef7r//fq0jCaG5msVforo9mHt1I+q44R1yTNe+IpoWBk6met02AXNS+xUpnRWN5N0/B6/LT8/jkpn294GySjAEqarKwse3AxB3TI+gG7tzgMfuZNs9n+F3ejH36kbkMYO1jiSEECKEyPVKx6pfV4CjpB5LtIER53TVOo4mHI0eNn9WCAS6C2VR3e/rnmvkptsC1y7fPLmVxgqHxon+WM6oRHR6hdaiOpyVTVrHAQL7GDbvrcK9v1jrKCHLZ2/Bvb+Eho1FGKKDp9Bf/f1uIPTGkW75qowtX5ah18NTL9hkH9f/Ehev4+EnAwXgNbMKqNpn1zhRcNDpFKbd3R+Aqm920LyvSuNEQgihjZAsGC5YsIC3335b6xhCBBVHcQH2rRtBUYi/4NQOOaFXPV5q3/gE/CrJ4/uQOC633Y7lbXax9Z7PaKlzk9o7hrOeGIbeEJIPYZ3eli9KKVhbi9GiI+eq47SO86v8Xh87HpiPo6QefXwsSddeEFIXyUIIIbQl1ysdr3TuRgCGnp6FOdKgcRptbJhbjNMJPXsbGD02ePeHDiaXXRXJoCGB0aSfP7hN6zh/yBpjJGuQDYC6tfu1DfOTyG6BMam+Bjs+u4zxOxKufYFiqzUrDmOQFAz9bi+1P+wDYMCk0BlH2lTpZOFDmwC4+i9RDB4qj4W/5tgTLIyfYMbng4VP7tQ6TtDIHGBjwKQ0VBXyX1uudRwhhNBEyN1tb2pq4uqrrwYgMjJS4zRCBAdVVale+DkAkeOGYuqa0SHHbZj3LZ6yKoxxEfS47sR2O47q87Pjwfm0FtQSnWzhgudGYo7onDeCQp2j0c2iJwPdhRkXjMGaFnyjbVRVZe/zS2jYWITOYiT5lsvQ2zpmvK8QQojQJ9crHa+lsJa6NftRFBh1fufsLvT7VVbPCnQXXnhppCx0OkR6vcLDT8ZiNMLu76vYs7Ja60h/6MBY0rq1BdoG+YneasLy0zm9p6RC4zShyZ1fBEBM7+ApzNWtD4wjjUmxkDnQpnWcQ+L3q8y5ZzNNTSr9Bxq59sYorSMFtdv/LwaDITCWORQe+zrKyTf2Qm9QqF9XQN36Aq3jCCFEhwu5guEdd9xBcXExWVlZBy/EhejsmrdvxllcgGIyYpsxsUOO6SoooemrpQDk3ngyxlhruxznQPGmfn0hRqueC54bQWxq+xxLtL9vnt1FS52biC7xZJ3dMWNzD1fp3I2Uf7EFFEi4+nxMWcFz4S6EECL4yfVKxyv5ZB0AfcanktClcxZp96yopr6klZgYhWlnBEeHUqjonmvkgksCPzcLn9yJ36dqnOj35Y5LBqBhQyF+j0/jNAGROYEipru4XOMkocmVH+gwjOkTPNcdNSv2ANDv5NSQWYDw46wC9v1Qg8UCjz9jw2gMjdxa6ZZj4MJLA499C57Ygc/r1zhRcEjoEsnI8wKLj/a98F3QPM4KIURHCamC4ZIlS3jttdcAePHFF4mOlo4PIfweD9VffwFAzNTjMcTFtPsxVa+X2tcDo0iTTuhF0rHtN4q09LONlM3fjKLAmY8MIb2vrd2OJdpXydZ61n8cWPne48bx6IzBt5dE7Zr97HtpKQC2c6YQMaSvtoE05GtuxbWviNZ122j5cTMtP2yieeV6mpevw750DfYlq2levg7nzn14axtQ/XKBKYQQcr3S8dx1LVR/swOAcZd20ziNdn6cVQDAjHMjiIgIqcv8oHDtTVHExipU7rGz4bPg3osvrU8MkfEmfA4PTdvLtI4DQFROYCypu1g6DA+X6vcfHEkaHSQFQ9Xnp3ZVYBxpn/GpGqc5NFX77HzzVOBvwR13x5DTXSYSHYrrbooi1qZQtbeZ9Z8G92NfRzrpup5ExptoLao7OPJcCCE6i5D5C9ra2spVV12Fqqqce+65nHrqqaxbt07rWEJormH1crwNdejjYoiZ1DH7wTXO/w5PSQVGm5Uefzmp3Y5Tu3of+S99B8Apt/Wlz/jguIA6FH6fSnOtC71RwRJt7PT7Lfp9Kl88uAVVheST+xA3uIvWkf5Hy/4adj70BfhVIo8dRsykY7WO1CG8tQ04d+/HW1GNp6oWb2Ut3qpa/C2Ow/tEej2GxDgMSfEYkuMxZaZi6Z+LMTmhfYILIUSQkesVbZTO24TP4ydrkI0uQ+K1jqOJmsIW8pZXoyhw/sURWscJSTabjmtviuLRB+x883weA6akB+0WCDqdQu7YJDbNL6Vu7X5sg7O0jkRkt0CHoYwkPXzeihpUhxOd2XBwP0itNWwpwWt3EhFnouvQOK3j/CGfx88nd23G5YJxx5u54BJ5HDxUsTYdf7klmn/e18S3z+cx6NSMoH3s60jWGCMTbunNZ/duofS9lSSf1Btzgoy4FUJ0DiHzV+Cuu+4iPz+f+Ph4nnnmGa3jCBEUvM12apcvBsB25kR05vbf0NtdWEbTF4EiXo+/jMdka5+T8ZbCWvIeno+qwrAzuzDmkpx2Oc7Rqi1qoXxHI/WlrTSUth583lDais/7n3FG5igD1lgj1hgj1hgTkQlmRl/YjcyBwX8B1hbWzymkfGcTlmgD3a8+Xus4/8Nd38LWez7D1+rG3KsbCZeeETKjdw6X3+nCuWs/zm15OLbtwVvx2/tVGGJiMcTGoej1KDo96JSfnutQdAp+lxtPQx2ehjrw+fBW1uCtrPnl50hJwNq/J5b+uVj6dEdnMbf3lyiEEJqQ65WO53N6KJu/CYCxlwbnuWJHWPNhYILDcSea6ZodMpf4QeeCSyL54O1WigpdrHgzn/F/6al1pN+UO+5AwbCAnKs6ZtHo74nMScKaYUOXGhwFr1CiejzEDeuKYtCjMwTHBJYD40j7nJgSEgtfv3tlD2U7GomNVfjnE7Fhex3XXs67KIJ332yhqNDNmg8LOfaK7lpHCgpDTstk7cdFlGxpYP9ry+l952StIwkhRIcIiauJVatW8fzzzwPw5JNPkpKSonEiIYJD7ZIFqE4XpuwMIscMaffjqV4fNW98jOrzkzgul6Tj2+ci2udws+Mfn+Nu9dFtZAJT7x4QdCf9jiYP3z67i3UfFaD+xjYnOh0cmNLoavbiavbSUPqfrq0di0o58YY+jL28OzpdcH19bam10c2S53YBkHHJsZjigmtvIZ/Lw7Z75+GqbMKQkkjSDRehGELiz+Mh8zXaaV65AcfW3bjyCsH3s30YdDos6VmYU9MwxidijE/ElJCEMS4BnenQFiGofj/epkY89bWBp9oaHEX7cZQU4K2sxV75A/ZvfwC9HnNuVyKHDyBy7FB0VikeCiHCg1yvaKPy6+14m5zEZVrpGyJj89qaq9XL1nkFAFx0mXTVHA2TSeG2u6K56ZoGfpi5hxFndyEmJTj3g+wxJglFgZb8alw1dsyJ2o4/jsiMY+TbVwJQUKJplJBj6ppBz8fO0jrGQapfpWblXgD6nhz8j6vFm+tZ9mog7z8eiSUlNTiKrqHEaFS45sYo/u+2RlbMzGfUeV0xSZchOp3CqXf145ULVlL5zQ7Spg0ktl+G1rGEEKLdBf1fAKfTyRVXXIHf72f8+PFcfvnlWkcSIii4KkppXP8jAHEXTEPRtf/Kv6YFy/AUlWOItpB70/h2KeKpqkrevxfTWlRHdLKFsx4fht4YXKsa96yoYu49m2iudQEwaIiRrtkGMrvoycjSk/nTU0qqHlUFe5OfxkaVxgY/TY1+GhtUlix2suALJ988vZOCtTWc++/hmKxB/5B82Px+lcVP7aS1wUNEdgIZ0wdrHekXVJ+f3Y8txL4r8HOdfMul6KOCq6B5pFRVxbW3iOalP9Ly42bw/qdIaLDFE9mjFxE9ehHRLRe91XpUx1J0Ooy2OIy2OOjW4+DbfU4njv17adm7i9a9u/HU1+LalY9rVz71cxYSNXYYUcePwJQVOuOGhRDiv8n1ijZUv0rJnA0AjLm4Gzp9+C6++j2bvyjF3qTSNVvP2ONkIc7RmjDZwrARRtav9bD4ud2c+dAgrSP9qsg4Exn9bZRsbaBubQFpkwdoHUmECfvuCtw1zZgjDXQfHdxbC3icPj65axN+P0w/w8qkU4/umqYzm36GlZefbQ50Gc4uZNzl0mUIkDnAxtAZWayfU8ze55Yw9IULUfTBdX9KCCHaWtDfnf773//O7t27sVqtvPLKK0f9+VwuFy6X6+DrTU1NR/05hdBCzbcLQVWJGDkQS8/sdj+et7aBpi++BaDHdSe2W5dYxcJtVC3ZhU6vcM6Tw4hKCK4bH2U7Gvjklh9xOiGnh56/PxTL6DG/nzE+QU/8f11rnXq6hbHHOXjg3kb2rqymaEMdPcYmt2Pyjtfa6OazuzeR930lAD2uPymoTq59Djc7HvyCujX7UQw6Eq6/BGNqktaxjpqvwU7zqg00L1+Ht/w/40YtmV2IHjSMyB69McYndkjXrt5iIapPf6L69AfAXVtNy+4dNKxdhae2Gvs3q7B/swpTdgZRxw4nYvQg9JHSHSGECC1teb0i1yqHrn5dAY7SeiwxBoaeof0eblrZNL8UgPMujgjriRUdRVEU/nZvDOdMr2XTvBLGXNSNtN4xWsf6VbnjkgIFwzX7g6ZgqPpV/C0OdJFSuDkUqsdLhq0ECJ4FiwfGkfY8LhmDKbi79Za/lU9tUSspqTrueSA4f09DhcGgcPUNUdx9eyM/fFDImEtz5G/KT/6fvfsOj6O6Gjj8m+272lXvklWsYluSe8UV3HABm95Dr6EkIWpoCcMAAQAASURBVCQhgQRI+9IgJIQSCCRU05tpxoBx792WbVlW723Vtpf5/lhZ2AnFRasZ2fd9Hh5keXfuUfHuzJx7zpn7gyHsXV5Pd2kTjZ/vI3luodIhCYIghJV67tx+jc2bN/PII48A8NBDD5GTc/I7XP7v//6PqKio3v8GDTp9Ly6FgctdV43jwF6QJKIvmNsva9pf/5igx0/UiHQSZw8LyxrO6jbKnwglJWfeMYSM0bFhWedEdbd4WHLXZtzu0IyYdz9J+M5k4TeRJImLLrP0zpnRDIDZEMejeqedpy5eRcnKRnQGDfk/mkPM6Aylw+rlbXOw4+7XaNtUjsaoI/72qzANHdizjzzlNTQ/9iI1d/8f7a9/jL++GcmgJ3L0eAbdeBcZN/+QmInTMMQlKNbi1xCXQMzkGWTd+TPSvncT1oIRoNXirail7cX3qPnB72n51xt4axsViU8QBOF49fX1irhWOXb1H+0CYPSidIynaes0Z7uXmp12AOYtFAmavjJilIEFi0zIMnzy8D6lw/lG+dNCG93sWysJHtFJQikt60pZe/7jND/5itKhDBjuA+Wsv/gpdv7kDaVDAUIdSppXhxKGhXPU3Y60vd7FumdLAPjp/ZFERp1a19NKWLjIjC1SoqPeRcWWVqXDUY2IWCMzbgx10an4z1qCXr/CEQmCIISXaq+svF4v119/PYFAgDFjxnD33Xf3yXF//vOfH3Wszs5OcSEuDDitKz4FIOKMUej7YbC8u6QC58adIIWqC8ORbAh6/ez73Yf4XAGyJ8Yz5frc735SP/J7A7z6o810NrrJztHy8GPRGAwn/31wu0IDEPXGU+MCR5Zl1r9QxvJH9xH0y5jToin45blYc9VTPemsamX3L97G3dCJPspM3F3XYcxRTzLzeHnKqul49zNcuw70fs40KIuoMROwFY1CY1Tf7B1JoyEibxgRecPwO7rp2rmVju2b8DbW41izFcearZhHDCFy/nSMQwerboapIAgChOd6RVyrHBtPazdt6w8BMO6igfsefrIOrW8hGIT8oTpSUtVdCTTQ3P1TG8s/cXNofQsH1zaTN0V9XSjSCqOxxBhw2r107q0jeqSyrxXGOCsBhwe5vAY5GOyXkRkDnedgBQCGOHVUGDrKmnHXtaMzasibqr7f+SN98pd9uN0wboKBBeeq73pnIDKZJOYtNPHGEhfb369l8ITw32saKCZdkcX6lyvobOyi9v0dDLponNIhCYIghI1qE4a//e1v2bNnD1qtlmeeeQattm8ugIxGI0ajulocCsLxcNfV9FYXRi2aGfb15GAQ+8tLAUiZPzxsiZ/y59bQXdqEJVrPBb8frar2F7Is8+Hv9lC9w44tUuKJZ2OxRfbNBbDb3ZMwNA/8mzzubh/v3r+DfZ83AJAwI5/8u+eii1DPa27b1gr2/eYD/N0edElxJNx9HfqkgXkh5Cmtov29z3DvDu2sRZKwjRhL7LSZGBPVvSP4SLoIKzGTZxB9xnTc1ZXY162ge98eXLsO4Np1AEN2OpHzp2MZW4jUR+cCgiAIfSEc1yviWuXYNCzbSzAgkzE6hqRcm9LhKKZ0QwsAk6eJ35m+lp6h48prIvjPMw4++cs+cibFq25OpkYrkTclgZ0f1NK2qVzxhGHE4AQ0Bh1Bhwt/Qwv6VPVsGFQrT0kFAFFFacoG0uNwdWHelARVV26Xb25lz7J6NBq476FIsbmwD51/kYU3lrg4sLwW7y8KMaj496A/6U1aZn4/j3cf2E39knWkzBuOzireewVBODWpcsvXzp07+cMf/gDA3XffzZgxYxSOSBDUo/XLZQBETBrVL/PWHGu24q2sRWsxkHXd1LCs0bapnJo3twJw3m9GEZmonh2Csiyz7oUytr1dhUYDjzweQ/bgvjtpPpww1BkHdiKkpbybZ65Yw77PG9DqNeTdNYth95+jqmRh7Xvb2f3zt/F3ezDmZpB8320DMlnoOVRF41+epeG3T4SShRoNkaPGk3XXvaRceMWAShYeSZIkzBlZpF52HVl33UvU+MlIeh3e8hpanniFunsfxrFhB7IsKx2qIAiCuF5RkByUaehpRzr+NK4ulGWZQ+t7EoZTDQpHc2q69U4rkZESjQe72P5ejdLhfK3DbUnbNpUrHAlo9Fqs+UlA6HxV+HayP9D7fYoanq5wNCGH5xequR1pwB/kw//bC8AlV1gYVqhXOKJTy+hxejIytTgdMsU9G4GFkNGL00nIjsDV4aP69c1KhyMIghA2qtwq8p///Aefz4dGo0Gv1/Pb3/72ax+3atWqoz4+/LghQ4Zw8cUX90usgtCf3HU1OPb3X3Vh0OXG/mYoQZl59RkYYix9vobX7mD/nz4BYMJlWQw5Uz0XJ61VDj76/W5K1zYD8JP7bEyb0bcJsN4KQ9PATRjuX9HA27/YjqfbjyHeSuGDi4gcmqJ0WL2C/gCHHl9B3dKdAERMHk3ctRcgGQbWxWWgy4H99Y9wrA4l19FoiBw5jtgZszHEDrzE57cxxCWQdO5FxM2cR/vGNbRvWou/uY2Wp17FuHITsVctxpCWpHSYgiCcxsT1inLs2ypxN3RiitRRdLZ6zjf6W1u1k/Y6F3o9jJsoEobhEB2t4da7rPzpt12seOogo85NQ6tX157rvCkJSBI4yltwN3ViSoxUNJ7IghQ699TiKa3COk207Ps23qo6ZK8Pnc2EZVCs0uHgrG7DWdGKVicxZIZ6z7O3vFlNQ0kXUVESP7jn9K0wDxdJklh8oZnHHulm+3u1jDpXHclsNdDqNMz5wVBe+eFW6t/eTOq5IzEmiN9BQRBOPapMGB6uHggGg/z+978/puesWLGCFStWALB48WJxAS6cklq/7JldOGkk+pTwVxd2vP8Fwc5uzOkxpC0e3efHl2WZ/X/6BF+7k8RcG3N/XNDna5wInzvAmudKWfdcCV4P6A3w/busXHtj386W8PtlfN7QxwMxYRgMyqz8ZwlfPhFqiRk1Ip2CX56DIUYdMzgAfJ0uin/zAe3bq0CC6IvmEblgxoBqWyMHg3Sv2kL7G58QdDgBiBw1ntgz52KIjVM4uvDSRViJnzmP2Kkzsa/7krbVn+HZV0b9r/5G5NnTiFo0E41JPVWsgiCcPsT1inLqPwxVF446J21Anj/1ldJ1oerCUWMNWCzqSmKdSq64OoLn/umgpc7Fzo/qGLNYXTfPLdEG0kdEU72znbZNFaSeM0LReKIKU6kBPIcqFY1jIPiqHWkqkgrGcRxuRzp4UjzmSHVurHS2e1n1j1B14V332IiJFa994bD4glDCsGxjCx0NLqKSzUqHpBrDZiWRMTqGqu12Dj35JQW/OlfpkARBEPqceHcVhAHCXV+DY/+eUHXhueGvLvQ1tNC1fA0AObediUbf9zdkGj7ejX1zBTqDhov+NEYVN31KVjXy+Plf8uWToWThlOkGli5P4La7bH2eZDpcXQgDL2Ho7vLx6g829yYL084bzYg/XaSqZKGzuo3tdy6hfXsVGpOehLuuJmrhmQMqWeitrKPhd0/R9p+3CTqcGJJSGHTjnSRfcPkpnyw8ksZgIO7MuWTd8TMihhRCIEjnRyup+8UjODbvFm1KBUEQThNeu4O29aUAjDuN25ECHOqZXzhlmqguDCeTSerdNLjqX6UEA+o758ifHpoV2LapTOFIILIgFQBfbSNBp1vhaNTNXRJqIxtVpI4kdMvq0HVd4Wz1dPz5b5//o4SOdpn8oTouvbLvux8JIekZOsZNNCDLsOODWqXDURVJkjj3vkIkDTSvKqFta4XSIQnCKen999/n4osvJisrC5PJRGJiIpMnT+bPf/4znZ2dql+ztLSUn/zkJxQVFREVFYXVamXIkCHcfvvt7NixIyzx9yVVJgwfffRRZFn+zv8eeOCB3uc88MADvZ9/9913lQteEMLkcHWhZeLIfhkgb3/tQ2R/kJjxWcRNHNznx3c3dVL5dGiX/cy7hpKUp2z7nI4GF0t+sJmXb9+EvcZJUrKGR5+M5l8vxpKVHZ5ibM8RCUOdUZUvx1+ruayLZ65YzYEvG9EZNAz56Txy75iJRqeepGfblgq23/kKrlo72rhoku77PpbR6qhgPRZBp5u2l5dS/+BjeA9VIZkMJMxbTOatd2POyFY6PMXoY+JIu/IGUq+4AV10LIG2Dloef5mmh5/D39qudHiCIJxGxPWKMuo/3kPQLzNoZDTJ+cqeOyopGJAp2xRKGJ4xVVTah9tlV1mIjJRoKXeocqZX/pRQ55n2HdUE/QFFYzHERJA4cygZl09EDigbi9pZJ48hZeEIYsZmKh0KrvoOug82IWlg2Ex1tiNtONDJ5tdDlau/eDASnW7gbAIdiM6/KFRVuOP9WrE587+kDI1i0uVZAJQ+9gVBr1/ZgAThFNLd3c3ixYtZvHgxb775JpWVlXg8Hpqbm1m/fj0//elPKSoqYsOGDapd8+mnn2bEiBH85S9/Ye/evXR2duJwOCgpKeGJJ55g3Lhx/PrXv+6z+MNBlS1JBUE4mqepAce+UHVhdD/MLnTvO4Rr+z4krYacW88Myxqlj32Op9tP+ogYzriq7xOSxyMYkHnx1g00H+pGq4Vrbozg+z+wYrWGL4kXDMq8/HyovaTBoh0QVW9+b4A1zx1i9TMH8XuDGBNsFD64CNsQ9exC9bY5KHtmFY3LiwEw5maScOdVaKMGxmwBWZZxrNuG/bWPCXZ2A2ArGkX8vEXoI6OVDU5FrEMLseTk0bb6C9rWfIF7z0Hq7v8rsVecS8TUsQPi35MgCIJwfORAkLr3dwAw4VLlb7ArqeFAJ+5OP7ZIiaIR6mwdeCqx2jRcdV0ET/ytm5XPlFI4J1lV5xopBVFYYgw47V46i+uJHqFsxdqwXywEoKJGPZ1H1KjgvCRgjtJhANCyNtSONGtsLBGx6tuEIMsyH/5hL8EgzFtoYtJk9cV4qjl7gYnf/LKD5rJuGg50kjI0SumQVGXWHfnsXlZPd42d2ne2M+jS8UqHJAgDXiAQ4OKLL+aTTz4BICkpiZtuuomCggLa2tpYsmQJa9eupbq6mgULFrB27VqGDRumqjVfeuklbrnlFgA0Gg2XXXYZs2bNQqfTsXbtWp5//nk8Hg8PPPAARqORn/3sZycVf7iIhKEgDADtG1YBYBlTEPbqQlmWaX9nOQApC4cTkdn3bQ9b1pXSur4MjU5i8a9HotEqe8FdvLye5kPd2CIlXnojjiHDwnvjpaM9yH0/aeezZR4AJl+TE9b1+kL5phY++M0uWiocAMSMzWTovQswxKijFUzQH6Du3R1UvLCOgNMLEljPmkTsZQuRDAPjRpq3up62F9/rnWeij08kccH5ROQOUTYwldLoDcTPnEfkyLE0vPUK7ppKWp99E+fWvcRdewHa6IGRJBYEQRCOjX17Fd6WbsxReobPS1E6HEU1HeoCYFihHq3C59Gni+9dH8G/n3ZQv6+T0nUt5E0J/zz5Y6XRSOROjmfXh3W0bS5XPGEoDDwtq3rakc5R52tr8WcNlG9uw2iEn9wnzvH7g9WmYfwkI6u/9FCxpU0kDP+LyaZn7o+G8vZ9O6l7dR3J84rQR4lZj4JwMv71r3/1Ju4KCgr44osvSEr6qur99ttv55577uHhhx/Gbrdzyy23sGrVKtWs2dzczO233w6EkoXvvPMOixYt6v37q6++muuuu45Zs2bhdDq5//77Oe+88xgyRH33/AZODzxBOE35Hd107twCgG3ulLCv595biqekAkmvJeOKSX1+/IDbR+njoVakk6/JITFH2RP+YFBm1dOhC6RrbogIa7JQlmWWvuNiwcxmPlvmQW+Axb8eyVnfV9+bw2HdrR7e/sV2/nPDeloqHOhjLAy7byHD/3ChapKF9h1VbL3lRQ499SUBpxdDdjrJv7yduKvPGxDJwt72ow88Fvq3Z9ATP2chWd+/RyQLj4EhLoFBN95J/JyFoNPi2rGPuvv+imPjTqVDEwRBEPrQ4e4BI+anojOopw26EloqQxu4wtU2X/hfMTEaLrkidO678plShaP5X/lTQwlM++YKZQPp4et04dxejOwXrfq+TvfarXTub0AOKt/q0d3USWdxPZIEBSqcXxjwBVn2yH4AbrjVSlq6eN3rL2PHh66lK7fbFY5EnUadk0bykEjcXX4qX9modDiCMKAFAgEeeuih3j+/+OKLRyXuDvvjH//IqFGjAFi9ejWffvqpatb8y1/+0jvr8Pbbbz8qWXjYpEmT+M1vfgOA3+8/an01EQlDQVC5js3rkH1+DNnpGPPDO7tMlmU63v0MgNRzR2KMt/b5GlWvbMTT2ElUipkZN+f1+fGPV8nKRhoPdhFhlbjquvC1zSk75Oe6y9v4yQ/aaW0JEp9t5dr/TGXM+RlhW/NkBIMyW96o5LFzV7BzaQ2SBKmLRjLh39eReNZQVbRhcjd2Uvybpey65w2cla1obBHEXnchyb/8PsbBg5QO7zvJskz3uu3U3vsXupavhWAQa+FIsu68l9hps5B04mL4WEkaDbHTZpF5y48wpqQRdDhpeXIJzU+8QqDLoXR4giAIwknyOzzY1x4AYPRiUT3V2tPxIWvw6Z047W/X3RyBXg8VW9qo2qGuG+h5UxKQJOgubcLbpuy5jyzLbL7+PzT/7QU85bWKxqJGQZeHtn+/xfY7XsZVp/zvUcuaUAI8Y3QMkYkmhaP5X9vfr6Gt2klcvIYbbxNtbvvT6HEGAKp22MUcw6+h0UqcffdQABre24arvkPhiARh4Fq1ahX19fUAzJgxgzFjxnzt47RaLXfddVfvn5csWaKaNV977bXej3/0ox9947o33XQTERGh97P3338fl8t13LGH24BOGD744IPIsowsyzz44INKhyMIfS7o89G+cQ0AkWdPDXuSxr23FE9pJRqDLiw92J1VrdS+vgmA+T8rxGBRNiEiyzIr/xmqLrziagvR0X3/kuhxy/z94S4Wn93MhnVejEaYdddQbntrBunDY/p8vb7QXu/khZvWs/TXu3B3+bDmJDDqsSvIu2s2OqvyF5H+bg9l/1rNpmufo3llCWgkbLPOIPUPP8Y2YzySRv1vbb6GZhr/9AytT79GsLMbfVwCaVffQuql16CPUufvxUBgTEol4+YfEnvmXNBocG7aRf39j+I+WKl0aIIgnKbE9UrfaFl9EJ87SHx2BGlFoi2aqDBURnKKlkUXhFrOrXr2kMLRHC0i1khqQejfRtvmckVjkSSJqKI0ADwHlI1Fjdz7DyH7g5hSojCnKX/e39zTjrRorvrakfp9Qb58OpTQvPG2CCwW9V/nnUpGjDKg00Fno5v2evXd0FaDvCkJ5JwRT8AvU/HcGqXDEYQB6+OPP+79eMGCBd/62Pnz53/t85Rcs7i4mMrK0H2nYcOGkZ39zQU/NpuNadOmAeBwOFi5cuVxxd0fxLutIKhY1+7tBBzdaGOjsIwbHta1jqwuTDlnBMa4vq0ulGWZg499QcAvkz89kaEzlW93cmhdM3V7OzCZ4Lqb+n634tpVHs6d08wTf+vG54W8qYnc+s5Mpt+Uh06vvpdfWZbZ9UENT164kvJNrejNWnJuO5MxT1xF5FDlLyCD/gC1721n0zXPUv3qJmRfAOPQwaQ8cCex31uMNkIdLVK/jez30/H+F9Td/zc8+8pC7UdnLyDz9p+I9qN9RNJqiZ85j4ybf4AhIYlARxeNf3ya7rXblA5NEARBOEENPe1IR52broouB0qSZfmrCkORMOx3N9xqRZJg/4pQlxI1yZsWakvatkn5JF1UzxxF94EyhSNRH9euULV07IRsxV/PvHYHXXtDVaDDZil/ff7ftr9XQ3uti/gEDZddJaoL+5vZLDGsMNSWtEq0Jf1G8348FEmCphX76TrQoHQ4gjAg7d69u/fj8eO/vYAlOTmZQYNCXcUaGxtpbm5WfM3jOdZ/P+bI56qF+u5YC4IAhG4G2Nd9CYBtzhQkXXhbDoW7urD5ywO0b69CZ9Qw/94ixS+OjqwuvPSqCGLj+vb7+9ZrTm64qo2qygC2RBOXPjKWK5+YQOwgdV7oODu8vPGTbbz18+24u/zYhqYw6slrSL9wLJJW2bcKWZZpWVfKlpuep/SxL/B1uNAlJ5Dwg6tJ+tlNGDJTFY3vWHlKK6l/4DHa3/4U/H4suUPIuv2nxE6fjUa0H+1zptRBZNz8QyKGFYE/QOszr2N//WPkYFDp0ARBEITj4G7ooGNnNZIEo85NUzocxXW3ePC6Amg0kJ4hWpL2t8E5OubMC3XcUFuVYf7URADs26qQA8qe70T3JAw9ByuRAwFFY1ETWZa/ShiOD++4kWPRsvYQsgxpRVFEp5iVDucofl+QL/8Zqi686TYrZvPpvVlEKWMOtyUVCcNvlDI0ipE95yeH/rlStG8VhBNw4MCB3o+/rTrv6x5z5HOVWlOJ+MNJ3KEUBJVyHirB29SAZDJgm973Cbwjhbu60O/wcOipLwGYdmOeKpJmlVtaqdpuR2+A62/u23g2rvfwwM9D/evHXpjB2T8pxBih3pfb0rVNvPvLHXQ1e9BoJTK+dwYZl09UPFEI0Lm/gbKnV9KxqwYAjS2C6PPnYJ0+PuxJ9L4SdLqxv/kJ3Ss2giyjsUWQePZ52IaPUTxxfqrTGI2kXnotrV98Qtuqz+j8aCW++ibib74MjdmodHiCIAjCMWj8bB8A2RPiVHdDWwktPdWF6YO0GAziPEIJN99u5dOP3ez5uJbZd+YTk6aOLhfpw6MxR+pxdbrp3F9PVKFyCfaI7Hi0EUYCDg/eqnqM2WL2KIC/vplAazuSXkv0SOVnrresPQhAgQqrC7e9U01HvYuERA2XXqWOf2Ono9Hj9Dz/LFSKhOG3mn3nEPZ8Uk/HrhraNpYTN2mw0iEJguI6OzuP+rPRaMRo/Pr7MO3t7b0fx8fHf+ex4+Livva5x6Mv11Qi/nBS7x1sQTjNHa4utE4bjyYivDdHwl1dWPH8OrytDuIyI5hyXU6fH/9ErPxn6OLookstJCX3XeKpotzPXbfY8fuhaH4q5z4wQrVJIZ87wKePFLNpSQUA5kExDLt3AbYhyl8wuuraKX92dWhGIaAx6LDOnUbUwhlozMrPUTxWzm17aXvhPQLtoROlyNETSDj7XLQW5ZPmpwtJoyF+9gIMCUk0vPcaru37aPjdkyT+8Bp08crPjREEQRC+mSzLNPa0Ix29SCQc4Ij5hYPFpbxSikbomTzNwLrVXtb8p4xz7ytSOiQANFqJ3Mnx7P6knrZNFYomDCWthqjhabRtKMNzoFwkDHscri6MHpGO1qxXNBZ/t4fO7aF5S2pLGPq9AVb2zC686ftWTCZ1Xk+fDkaPDVUYNh3sxOv0Y7CI956vE51i5oyrslj9XBllT68kZmwmGv3A2OAsqN+Kxnx03QNnw7Pf4QE+7W3hedgDDzzwjTPdu7u7ez82mb77np/Z/NV98q6uE2sR35drKhF/OIlXekFQIU9TA87SAyBJ2OZOCft6He+Fr7rQWWOn/r3tACz4eRF6o/InTVU72ijb2IJOFxqe3lcOHvBx+412Otpl0kdEc96vR6k2WVixuYUPf7+HptLQG1PaeaPJvnEaWpNyF66yLNO5t46693fQvKoE2R8ECSImjyH6grno4qIVi+14easbaH/zE1w79wOgj40nadHFWAbnKRzZ6Sty5Fj0sXHULfk3vpoG6h/6Bwm3X4lpqNj9KQiCoFZd++px1doxmLUUzFHXDW2lfDW/UPlz6tPZzbdbWbe6jR1vV3LWrXlY49RxIy9vWmIoYbi5nOzrwn8d+W2ih6fTtqEM94EyIudNUzQWtXAfCM2XVEM70taNZQT8MgnZESQM7tt7ACdr69s1dDS4SUzScOkVorpQSUnJWhKTNDQ1Bqkt7iB7XNx3P+k0Nf3GXLa+U4Ozqo3q1zaTedUkpUMSBEVVV1cTGRnZ++dvqi4U1EckDAVBhTq3bwLAPHoY+oTYsK7lqajBc7ASSacJS3Vh9WubCAZk8qYmkjslsc+Pf7xkWWbZn0M71c+7yExaet+8DL7zhpOH7uvA7YboVDOX/W08epP6buR0NLj49JFi9nxcB0BErIHBPzmX2PFZisUUcHlp/Hwfde/vxFH21eBgU1E+MZfOxzAoRbHYjpe/xU77O8txrNsOsgwaDbFTziL2zDlo9AalwzvtmQdlkXHLD6l7+Tk8DbU0/vlZ4m+9jIjxw5UOTRAEQfgazatDnQaGzkzCKKoaAOhu8wCQmKS+88zTycQzDIwcrWfndh8bllQw+44hSocEQP6UBAC6Sxrx2h0YYpTrahE3JRed1Uh36mjFYlCb8X84m449RZjTlO9y0bI2VME3TI3Vhc+EYrv5ditGUV2ouPyhepoaPdhrnCJh+C3MkXoW3lvAGz/bQe2r60maU4ApKfK7nygIp6jIyMijEobfxmq1YreHWh+73W6s1m/fyOJyuXo/ttlsJxRfX6555HPdbvd3rt0X8YeTuOoSBJWRg0E6d20DwDplbNjX6/p8PQAJ0/P7vLrQ09JN82eh5Nz0m9VRWbXn4zpqdtmxWCTuvPvkX5Tdbpnf/qqDN18NvdjnTE7gwv8bTUSsunbO+L0B1r9QxqqnD+J1BZAkSF44kuzrpqCPUmYekLO6jbr3d9CwbC8BpxcItR41TxyFbeakAdW6KNDloGPpF3R9sQH8AQCshSOJnzUfQ7zyiXLhK/qoGAbdeCcN7yyhe+9OWp54heC152ObMUHp0ARBEIQjyLJMy9pDgPra5Skp4A0CiPmFCpMkiWtuiODuO9rZ+lY1Z92Sh1av/Pxva7yR1IJI6oo7adtcQfLcQsVisaTHYEmPAQJU1CgWhqpIWo0qZhcGPD46NodeXwvnqGtz5rZ3auhsDFUXXnyZqC5Ug7j40Gubo82rcCTqN2JBKpter6Jyaxtl/1pFwX3nKB2SIAwI0dHRvcm7lpaW70zetba2HvVcpdc88s8tLS3fuXZfxB9OImEoCCrjLDtIoKsTTYQF88jw7lQNdDtwbdwJQOriUX1+/Jq3txLwBckYHUPG6PBWSh4LnzvA8r+GEpg33hZx0rMLt23x8sDPOzh4wI8kwZnfH8L0m/LQaNV1A+fg6kY+/uNeWntm3kQWppJ7x0xseUn9HoscCNK6sYy693Zg31rZ+3ldUhy2syYRMW0s2oiBc2EY6HbQuWwNXcvXIbtDO/4tg/OIn7MQU1qGwtEJ30RjMJBy8fdoMpnp2LqBtn+/TdDhImrBDKVDEwRBEHo4K1tx17WjM2jI66maEiDgO5wwVDgQgdnzTMTFa2ht9rD/y0bVJF7ypib2JAzLFU0YCupl31KJzxUgKsVMaoF6KqD8viAr/xVKZN54m6guVIvDCcPuVo/CkaifJEksvLeAJy9ZQ/OKA7QvGkX08IGzEVoQlDJkyBDKy0Ntu8vLy8nKyvrWxx9+7OHnKr3mkX8+8nEnciw1EAlDQVCZzp1bAbBMHIGkC+8/0e7VWwl6/VhzEogsSO3TY/u73TR/uAOAqdfn9umxT9SGl8roaHCTnKLhuptPvJqypTnAX/6vi3ffDFUVRsQauOiPYxg8SV03s7pbPXz8xz297UcNsREMvmk6ibOH9ftsRV+ni/qPdlO3dCeexs7QJyUwjxiKbfZkTIW5SBrld2Ufq0CXg85PVtP1+Tpkd2inpTElnfg5C4nIVd+bvfC/JI2GxEUXozFbsK/5gvbXPybocBF90dmqnT0qCIJwOmlZF7ppPHhiHMYIcdl6mL+nwlAvKgwVZzBIXHipmacfd7Dp9SrVJAzzpyaw8ulS7FsqkQNBJK1y59jedifNK/bTXi0RfcFcxeJQmhwM0vCbJ/CNiCfr2inobSZF42lZcxCAwtnJqjrv3f5uDR31LhISNFwiZheqRlycqDA8HqnDohh7UQZb3qji0D++YMwTVyn6OiwIA8Hw4cP55JNPANi8eTNnnXXWNz62sbGR6upqABITE0lIOLF7sX255vDhX4252bx583eufeRjioqKjivu/iBesQRBRYJeD937dwFgnRzeWQ9yMEj3FxsASD1vdJ9fKNQt3YnH4Schx0re9P6vZPtvAV+Qja+EdnD84B4bZvPxf71+v8wLzzqYd2Zzb7JwzAUZ3P7OmapKFsqyzI73qvnH4hXs+bgOSQPpF41l/L+vI2lOQb9eFDoqWij563I2XP405f9ajacxVD0buWAGqX/6KYk/uhbz8PwBkywMdHZjf+0jau/5I50ffons9mJMTiP18uvIuOWHIlk4wEiSRMLcc4ifsxCAzg+/pO35d5CDQYUjEwRBEFrXqXO+ltL8PtGSVE0uudyCJMGh9S20VjmUDgeA9BHRmCJ1+LvcdO6vVzQWX4eL0sdX0PnxSoJen6KxKMlzqBpveQ2Nn+1Da9YrGkvQH6B1fU+75znqeX31+4K9swtv+r4Vk6guVI1YkTA8bnPuzMdk09F9qJmGT/YoHY4gqN68efN6P/7444+/9bEfffRR78cLFixQxZoFBQVkZIS6jO3bt4+KiopvPFZ3dzerV68GwGKxMGOG+jpdDYw7tIJwmujetxvZ40WXFIchJ7ztDF27SvA3t6GzmUg8a2ifHjvo9VPzdmgO49TrctFolD/ZP7Cyka5mD7FxGhYuPv6ZfZs3erhgQQu/f6iT7i6Z1MIobnplKosfGqmqeYX2Gicv3rKBd+7fgavDhzUngdH/uIqcW89EF9E/ccpBmdYNh9j50zfYcuPz1H+4i6DHjz4jhbgbLiLtrz8n5pL56BOUb1N7rHzNbbQt+SCUKPx4FbLHizElndQrrifjtruxDhs+YJKewv+KnTaLxEUXgyTR/eUmWp56FdnvVzosQRCE05anpZuu/Q1IEgw9U8wCPlLAJwOgFy1JVSE9Q8e0M0Pn2JvfqFI4mhCtTkPe5NBmxrZNFYrGYsmIxRAXgewL4Cmt/O4nnKJcO/YBEDshC43u5MZinKz2ndX4uz1Y44xkjIxRNJYj7Xivhva6nurCK0V1oZr0tiRtEy1Jj1VErJGZ388HoPy5Nfi73QpHJAjqNmPGDJKTQ5tYvvzyS7Zt2/a1jwsEAvz973/v/fNll12mmjUvvfTS3o8feeSRb1z36aefxuEIbTJbtGgRFov63vPE3U1BUJHOHaF2pBFn9H3F33/r+mI9AMlnF6I19e0ux4ZPi/HZnUQmmShakNanxz5RW16vAODCS83HtSO7vi7APXfZ+d7FbZTs9xMVLXHur0Zw08vTSB+ungusgD/IuucP8fgFX3JofQs6o4bsG6cx+vErseX3T4VnwOOj9r0dbL7uOfbc/y7t26pAI2EZW0jSz28m5aG7sE4bh8ag7K7aYyXLMq69B2n62/PU/fTPdC1bg+z1YUwdROqVN5Bx64+wDi1SVRsf4cRFjzuDlIu/B1otzk27aH7sJZE0FARBUMjh6pf0EdHY4pVt3ac2gZ6WpAa9OP9Qi8t6khvb3qnG7w0oHE1I3rRQor1t83fP0QknSZKIGZ0JgLu4VNFYlHQ4YRg3KUfhSKBldagd6bCZSWi06ngdCQZlVv+7DIAbbosQ1YUqExsXSnKLCsPjM/GyTBIGW/F1uKh4cYPS4QiCqmm1Wn71q1/1/vnqq6+mqanpfx537733smPHDgCmTJnC2Wef/bXH+89//oMkSUiSxJlnntkva95zzz3YbDYAHn/8cd5///3/eczGjRv55S9/CYBOp+OBBx742mMpTQyDEASV8Hd14iwrASAizO1IfU2tuHcfACD13JF9emw5EKTmjVAv5jOuHoxOr/y+hNbKbg6tb0GS4NJj3K3odAb515MOnvtnN243SBKMvSiTWXcNxRKtri3dTYe6ePf+HdTuaQcgauQg8n80B0t6/yQ0/d1uat/fSe3bW/G1h1q16qxGLFMnYps1Cd0AqiQECLo8ONZuo/Pzdfjrm3s/b8nJJ+aMGVjyhook4SnKVjQKjdFE3Wv/xrVzPy1Pv078rZeJ6lFBEIR+1rK2px3pTPW0y1OLQE9LUr1RnIuoxfSZRpJTNDTU+9i7vIGRC5XfMJk/JVRh2F3SiNfuwBAToVgs0WMyaPysGHfxIcViUJKvuQ1fbSNoJGLHZykaixwI9r6+FsxWz+tryaomWisdREZKXHy5+iotTneHKwwdrR5kWRbXwsdIq9ew4GcFPH/LJurf20bKguFEZMYpHZYgqNZNN93EO++8w/Lly9m7dy8jR47kpptuoqCggLa2NpYsWcKaNWsAiI6O5p///Keq1kxMTOSxxx7j2muvJRgMcv7553PZZZcxZ84ctFota9eu5fnnn8ftDlUcP/TQQwwd2rcd//qKSBgKgkp07twKsowxNxN9YnhPIrq/2AAyxIzPwpzWt0mllrWluGrbMUfqGXtRZp8e+0RteTPUHmj6WUbSB337y14gIPPe2y4e/VMXTY2hGzKZY2KZ99NCUgujwx3qcfF7A6x/oYwvnyzB7w1isunIuOkskucP75eTeEdlKw0f76b+o90EnKHdhtr4GCLnTcM6dSwak3patX4XORjEU1KBY9MuHOu2I7tD7VYkk4HIEeOJmTgVQ4LysziF8IvIG0rqpddS+8pzODftos1sIvba88WFsSAIQj/xOzx07gi1Lhx2lnjv/W/+wxWG6tq/dlrT6SQuucLC3x/uZtNrlapIGFrjjaQWRFJX3Enb5gqS5xYqFkvM6NCoDW9FDUGHC03E8Y+HGMgOVxdGFaWhj1T2a+8srsNnd2KK1JE9QT2Ji7XPh6oLL7nCQkSE2KinNrGxoZ9JwC/j7vJjjhwYHYPUIG9KAkPPSmL/ikYOPfklI/5wodIhCYJq6XQ63nrrLa644go++OADGhoa+M1vfvM/j0tPT+e1116jsPDkz236es1rrrkGp9PJ3Xffjdvt5pVXXuGVV1456jFarZb77ruPX/ziFycdf7iIhKEgqETXrp52pFPGhHUdORCge22oL3Pa4lF9fvy6pTsBGH9ZFkaLOl5i6noq76y2b77hL8syq1Z4ePgPXZTsD7UhjE4zM/fuAgrmpKgqWSDLMsXL61n+yD7stU4AYidkk3/3HIzxtrCuHfD4aPpiP/Uf7qZrf33v5/XpSUQuOJOIiSOQtMrO5ThWciCA+0A5zs27cW7dS7Czu/fv9HEJRE+cSuSo8WhNohXa6SYibxgpF15J/Rsv0r1yE5LJQMxlC1X1OiAIgnCqat9RRcAvE5cZQcJgq9LhqI8sH/k/QSUuvNTC4492U7nNTmNpF0m54T0nPxZ5UxNDCcONZYomDI0JNsyDYnBV23HvO4RlXJFisSjBtf1wO9LBCkcCzT3tSIfOSFJFJyCA+v0dlG9uQ6uFK69VrhJW+GZGk4TBCF4PuLt8ImF4nOb/ZBgH1zRj31KBfUcVMaMylA5JEFTLZrOxdOlS3nvvPV544QU2b95MU1MTNpuNnJwcLrjgAm655RaioqJUu+Ztt93G7Nmzeeqpp/jkk0+orq4mGAySmprKrFmzuPnmmxk9OrydBU+WOu7mC8JpztvWgqehDjQaLOPDewHl3neIYJcDfZSZ2PHZfXpsT2s3HTtC1XxjzlfPSdCZt+Xzwk3r+fA9N5OnOZl/jolDB/2Ulvg5WBL6f8l+Hw31oR3bkZESE28YysQrs9Eb1ZX8qt3bzrI/7aVyWxsAhjgrg2+cRuLsYWFNZrjq2qlbupOGT/bg7wqVz0taDaYRQ7GdOQHTiCEDIpkS9Hhx7zuEa1sxzm17CXY7e/9OYzZjHVqEbfgYLIPzRBvK05ytaBRBr5fGd1+la9kaNCYj0efPUTosQRCEU559W+hcMveMeIUjUSdLrBHKHbS2BJUORThCUrKWs2Yb+WyZhy1vVrHwXuUSdIcNmZ7IyqdLsW+tRA4EkbTKndvGjsuirr4DX3ObYjEoQZZl4gujaW6xET81T/FYWtaEEoaFc9TTjnT9yxUAnL3AREqquq69hZBAQMYbasCD3iR+RscrLiOC8RcPYsMrlZQ/vYrox65Q9PVYEAaCxYsXs3jx4hN+/rXXXsu1117br2seKS8vj4cffpiHH364T47X30TCUBBUoHvvLgBMQwejtYZ3V51jY6gCMGF6fp+fpDSvLEGWYdDIGGLS1TN7IHtCPGfePoQvHjvAL3/awf0/6fjaXdkGI4y7PIdpN+ZiiVJXnyd3t49lfylm21uhm2h6k4bUiycy6JLxaM3h2eEnB2XsWyqofX8HbRvLoOd7po2PwTZzEtYpY9BGKb97+tvIsoyvrgn3rgO49pTgPlAO/kDv32stEViHDcdaOBJLdu6AqY4U+kfUmAkEvR6aP3qHjvc+RzIaiFowQ+mwBEEQTmn2baF2pDmTRMLw69jiQy3fm5sC3/FIob9deqWFz5Z52P5+DXN/OFTxG+vpw6OxROtxtnvoLK4jani6YrFkXDGJrOumUtOmfLvW/iRJEjm3zGDwzdMV31zZXdKIp6kLg1lL7uQERWM5zNHmYc9HNQB873pRXahWLudXN0+MEeI28omYcVMuO5bW0lXSSPXrm8m4fKLSIQmCIHwj8UovCCrQvS+UMAx3exbZ58e1dS8ACWf1/WDVpi9C7VaGL1DfheC0G/Oo2WmnZFUTABGxBhJzbSTmRpKQYyUpL5LEPBsmq/raa5RvauHdX+6gvc4FQOLsYQy+YRrGhPAk6wIeH43L9lLz1jZctfbez5uK8rHNmoR55FBVV98FOrtx7y/DXVyKa3cJgdb2o/5eFx1LRP4wbAUjMGcOFknC/yIHgwScDvwd7fi7O7EO+WqHvLPiEL7W5tAfJAlJb0AfHYs+Ng6tJULxGyHhEDNpGrLXQ8tnH9H++sdojAZss85QOixBEIRTkrupE1e1HUmDquZrqUlkYqhVenOjqDBUm8nTjKSma6mr8bPn03pGL1IuQQeg0UrkTUlg54d1tG4sVzRhaIgJbSbNsjRTUaOOZFV/UsM58uF2pPnTExVPZh+2+c1qvB4oGqFn1Bj1XYcLIQ5HKGEoaUBnVO99ADWzJZhYcG8hb9+3k6oX1hE3KYeIbLExShAEdRIJQ0FQmK+jHXdNFUgSljHhbV3j2lNC0OnGEGclqqhvk3quWjtd+xvQaCUK56b26bH7gkYjcelfx9FwoJOYNAsRsUalQ/pOPneAz/62jw0vlQNgSo5iyE/nET0iPBf7/m43te/vpPbtbfjaQ606tRYDlinjsc2ahD5ZnRf3gW4Hnv3luPcdwr2/DF9t49EP0OmwZOUQkTuUiPxh6OMSVHHRrhadO7fgOLgff0c7vo52/F0dEPiqaiH3l39Aow9V3HZu30zn9k1fexzJYCTr9p+gj4kFwNfehqTRoovsu97ySomdPpug10vbqs9oe/E9JLMJ62R195wXBEEYiNp72pGmFUWLGUnfwJZwuMJQJAzVRquVuORyM4/+uZvNb1QpnjAEyJuWyM4P62jbXM7gG6cpHQ4AQZcbjfnUnxEe6HYS07kHOSVT8faDsizT0pMwLJytjnakAV+QTa+FKsq/d51FXJ+pmLOnwtAYoRM/p5MwelEaxcvr2f9lE/v/+DGj/3EFGp06kveCIAhHEglDQVDY4epCY14m2ujwtnd0bAytlTAjH0nTtyd6TSv2AzB4UjzWeHUm43QGLenDY5QO45jU7LLzzn3baalwAJByzghybpmB1tz3rVI9Ld3UvLWV+g93EXB6AdDGRRM5bxrWaePQmNT18wy0d+EuKcdTUoH7QBm+6ob/eYwhKQVLdi4RuUMxZ+WgMairxawSgj4f7tpq3NXlxEw5q7dK1HmohK5d2/7r0RJ6iw19RDSWUhd6S+imrcuYipRR0NueNuB14+luxefoQPZ50doie4/QtvIzOrZuwJCUEkrW5g7BlDkYjW5gnnrEzZpP0OuhfcNqWp99E11cNKYhfTsHVhAE4XQn2pF+N6toSapq519s4bFHuqnabqextIukXGXb9+dNjkeSwHGoGU9LN8Z4q2KxuBs6KP71UpyNTtL++nNVdyzpC86NO6l58T1ixmYy4o8XKRqLo7wFV60dnUFD/vRERWM5rPizBjob3cQnaJh/jlnpcIRv4egOXfwZLAPzOk4tJEli8YPDqVy8iu7SJqpe2UjW1ZOVDksQBOF/iFd7QVDY4fmFlrHhrS4Mery4d4TakSaGox3plwcAKJqnvnakA4nfF2TlkyWsfvYgchAMcVaG/HgusRP6PjHhbuig8uWNNH5WjOwL3XTSpycRueBMIiaMQFLBbjdZlvE3t+E5UI67pAJPSQX+xpb/eZwhIQlzdi6W7FwsWTloI5S7GaImAaeD7gPFdO/bjbN0P7LfD4AldyimlDRslTJy0hisYxMwRsZhiIjGEBGN3hKJpPnfn39i4TQSC/93d3rQ78Pr7MBUq+VwNrGpxQGShLexHm9jPfa1K5D0BixZOVgLRxA5ctyAagcrSRIJ8xbj7+qke+9Omh97keRffh99kripLQiC0BdkWcbeU2GYe4Z4bf0mtoSelqSiwlCVkpK1zJxjZPknHra8WcXCe8N7jfddImKNpBZGUbunA/uWCpLnhXcExrcxxFlx1bUT6PbgOVh5ym+86l4b2pAXO175r/NwdWHulATVzKBb19NF59IrLRiMompNzZzO0PuN0TJwrt3UyhZv4tz7inj9p9upfmUDcWfkYMtLUjosQRCEo6jjTEEQTlP+7i5cVaETZcvY8F68uXYdIOj2YUqOxDa0b9uQOCpbcVa0otVJDD1LnOycqM4mN6/9aAs1u0JzAxNnDSP3jpnobX3bssfT2k3VKxup/3AXsr/n5D8/i8gFZ2IeOUTRNiOyLOOra+pJEJbjOVBOwN559IMkCWNSCubMwaH/snLQWZXdva02zooy2r78FGdFKQS/uqGoM9uwJmUTUQ8WbyixF5k+hMj0ISe1nkanxxR59M3dnNnX4nd301lbQmftATpqDuB3deE4uA9PcwORo8af1JpKkDQaks+/nGp7G566apr++jzJv7wNbYRF6dAEQRAGPEd5C752J3qzlkEjo5UOR7W+akkqKgzV6pIrLCz/xMP292uY+8Ohis+Ly5+aSO2eDto2lSuaMNTotcRNzqXx0704N+8+pROGvvpmvGXVoJFInNX3m3WPV8uaUMKwQCXtSGt2t1O9sx29Hi67SpxHq52oMOxbw+ensPezevZ+2sCBP37CmCeuRGMQ31tBENRDvCIJgoK69+8BWcaQnY4uPrytMp0bdwKQMKPvE0Itq0sAGDwpAXOUaP14Iqp32nntR5vpavZgsukZ/KN5JEzP79M1fB0uql/fTO272wl6QpVmpsJcos6bjSkvq0/XOlZyMIivtgn3vlLcB0JtRoNdjqMfpNViSh2EOTMbc2YO5oxstGbRtuZIQZ8P2e9Da+654A4GcJaF/l2aY1KIzhpOdOZwzLEp/ZoQ1pmsxOaMITZnDLIs47LX01FVjN5s7W1DJfv91L/1Mrbho7EOKVR91aHGYCDtyhuo+uej+BuaaXniFRJ/dJ0qKnIFQRAGssPtSLPGxqIziNfUb3I4YdjRIeNxyxhNojJHbaZMN5KarqWuxs/e5fWMOlfZWYb50xJY8dRB7NsqkQNBRefpJUzPCyUMt+wh5opzTtm2pN3rvqouNMREKBqLq64dR3kLGq3E0DPV0Y50/csVAMw/x0xConi9V7vDMwwNosKwT0iSxKL7i6jY0oajooWKF9cz+AZ1zJgVBEEAkTAUBEV179sNhL+6MOjx4t4VmjEYjnakh1ucFMxN6fNjn+oCviCr/1XKyqdLCPplLFlxFD20GHNa3yWQ3U2d1Ly5lfqPdhF0hxKFxtwMoi88G9OwnD5b51jIgQDeyrqvKghLKgg6XEc9RtLrMaVnYckKVRCa0jPFDMJv4Ouw07FpHR1bN2AbOY7E+YsBSJSyYcIiojIL/6fyTymSJGGJTcUSmxr6RGXowrOuczfde3fSvXcnWlskMZOmET1hKhqjumZnHklniyT1yhuofu4x3HtLaXv5fWKvPk/R6lxBEISBrn1HNSDmF34Xc6QenUGD3xuksSFARpa4pFcbjUbiwkvMPPZINzuW1iqeMEwrisYcpcfV4aGzuI6o4crFEzMmE63FQKC9E09pFab8LMViCRc5GMTR0440aU6BwtF8VV2YNT4Wiwo293a3eCheVgvA964X1YUDQVdnT1cilbSzPRVExBpZ/KvhvPLDrdS8tomE6fmiNakgCKohXu0FQSFyIICrMtSO1DyibyvJ/pvnQDlBrx9joo2InIS+PXZLF92HmpEkGDJDnOAcj+ayLt7+xXbq9nYAkDAjn/wfn43O0jcXcl67k6pXNlC3dGdv61FDZipR58/BPHJovyQ3ZFnGV9OAe89BXMWleA5WILu9Rz1GMhgwD8rCkp2HOSsHU2o6kk68PX0TWZZxVRyifeOaUJVyT8tRT0kp1mHB0M9VoyVp+AyFIz028ZpM5BEzaSnZhL+rk5blH2Jft5KYqTOJHj9ZtcliU0oaKRdeRd2Sf9O9YiP61EQi50xROixBEIQBq7u0CYBBI6KVDUTlJEkiMddKXXEne3b5RMJQpc45L5QwLN/YgqPNQ0SschuhNFqJ3MkJ7P64jrbNFYomDDUGHfFTcmlcXoxjw45TMmHo3ltKoK0Dnc1E/OT+3Zz5dXrbkc5SRzvSLW9V4fPByNF6ho9U53m+cLRDB0ObjmMzlK2WPdUUzE5m+LwUdn9Sz8G/fc7ov1+OpBEbUAVBUJ64uhAEhXgaapG9HjQWE/r08J68u/aGLhJixmb1eZKobWMo6Zk2PEbRC+GBJBiU2fhKOZ89ug+/J4jJpifrjjkkzuybJJ7f4aHmzS1Uv7GVoNsHgHHoYKLOOQtTYW7YE4X+tg7cew/i2luKu7iUYGf3UX+vMZmPmD84GFNKuurbUKpF5+7t2Fd/jqehrvdztpRcEgqmEp1RMCAr3AzWGNLGLyRlzNnYy7ZTt3053q5WWpa9j33tCjK/f49qZ1RahxYRP+ccWj5div2VD9AnxmEeqfycGkEQhIHG1+nC2xI6X0jKU+drvpoMGhlDXXEnO7Z5WbBItGlXo8wsHYXD9ezd7WPv8gYmXJqpaDz5U3sShpvKyb5+qqKxJM4cRuPyYpybdxN7xbmnXFt3157QWICkWcMUn0vmaemms7geUEfCMOAPsvmNKgCuuFpUFw4U+/eFEobJQyIVjuTUM/+nBZSsbqZrfz21724n/YIxSockCIIgEoaCoBRn+SEAjPnZYZ/d4N4TShjGjuv7C9XWTaGEYd40dcxDULuuFjfv3LeDQ+uaAYgZm8mQn5yNMf7kb44FvX7q3t9J5Ssb8He6ATBkpxN98TzMBbknffxvIgeDeCtqcW4vxrW9GF9N41F/L+kNmLMGEzE4H0tOHobElFN2Xkm4uWuq8DTUIekNxOWMJXHYFMyxp0YrYI1WR1zeeGJzxtBauoX67cvRJcarNll4WMyUM/G2NNG5bSPNTy4h+f7bMIR5E4ggCMKpxlHeAkB0mhmTTa9wNOo3aGQMG5dUsmObT+lQhG+xYJGJvbt97Pq4TvGEYd6UUJeZ7tImvG0ODLHKVQrFjMkgaXYBcWcMpvu7Hz7gjL5nAt2LMtFFKp/Mb1lbCsCgkdFEJpoUjgYOrGyio8FNTKyGeQuV//4I302WZfYXh95rUkTCsM9FJpqYdUc+H/2xmLInV2CIsYRljJAgCMLxEAlDQVCIq7IMANOQ7LCu47d34qttBAmiR2f06bGDXj/2rZUA5E8XCcPvUrq2ibd/sR1Hmxe9SUPmTWeRumjkSVeFybJM4/JiKv69Fk9zFwC65ASiL5yLZVxRWKrOZK8P975DoSThjn0E2ru++ktJwpQ6CEtOPpacfEyDstCIFqPHzdNQi339KiJHT8SSNRiA9EFTiPBbiR8yCZ3x1NyVK2m0xOdPJDZnLH63A0OlTFemRMDpoP71F4ibtQDzIGVvuh1JkiSSzrkQX1sLropDND/2EikP3oHGrPxNGUEQhIHicMIwWVQXHpOMkaFZ1/v2+vC4ZYymgddh4HQw/xwzf/5dF5Vb2+hsciuasLHGG0krjKJ2bwdtm8tJPrtIsVgkrYah984HwFFzalUXQujc0DZEHZvHDrcjLZytjni2vBmqLrzoUrN43RogamsCdHXKaHUSCTlWpcM5JZ1xVRbNZd1sfqOKA3/8CI1RR/zk8G34FgRB+C7iDq4gKEAOBnsThsahg8O6lrunHaktPxl9H+9y7NhdS9DtwxpvJHloVJ8e+1Ti9wX5/O/7WfefUFVpRFY8w355DhGZcSd9bGd1GyV/XU7HrhoAtDGRRJ03B+vUMX3e5lP2B3DvPUj3+u24tu9D9nw1i1AyGInIG4p1aCERecPQWsR8gxMh+/107dtNx6a1va8RAbeLJKlnY4EtjuQRMxWMsP9otDoMEaHXFVulzKE9y3CWHcRZ/neiJ04lftYCNEZ1tEGWdDpSL72Gyicfwd/YQutzbxH//SsGZItYQRAEJTjKQp0XkvJF9cKxiEk3ExFrwNHmZe9uH2PGizlgapSapmX0WD3bt/rYs6yeyd8L70bR75I3LSGUMNykbMLwSFnpzVTUJCgdRp+QZfmo6yOl+TqcdO6qBqBgtvIdSTqb3JSuDb3WX3jZqbnx8VS0b2+oHWlirg2dXnQJCgdJkjj3l0V4XQF2flDL/t8spfC3FxAzVj2bZAVBOL2IhKEgKMDbVE/Q7UIyGTFkhPfk3bXn8PzCMLYjnZqIRgxn/lqtVQ7e/OlW6vZ2AJC6aCSDb5mB1nhy7baCXj9VSzZR9eomZF8AjVFH5Lmzsc2dgsbQd628ZFnGW16DY912HBt3Euxy9P6d1haJdWgR1qGFmLPzRBXhSfDZ2+jYsp6ObRsJOHqaM2k0xGSOIDF3urLBqURm7hw0rS7aSrfSvmE13fv2kHTuRUTkD1M6NAC0EVZSLr2a6uf+gXPzbro+W0fknClKhyUIgjAgdJf1VBjmiwrDYyFJEhmjYtj3RSPbt3lFwlDFFiwys32rj92f1CmeMMyfmsiXT5Vi31qJHAgiaZW9+e+qa6fpi3244odiLspXNJa+4D1URdNf/kVwXhG5dyi/wa91fRnBgEzK0EhiBymfoNuxtJZgEMaO15OVLa4bB4p9e3vakQ4VG3rCSaORuOC3I/C5/BR/3si+B9+h8PcXETU8XenQBEE4DYl3aUFQgLOiZ35hXmafV4EdSQ4GeysMY8Zl9fnx2zaGKqBEO9Kvt+uDGpb+ZhdeZwBzpJ7Bd88nfmreSR+3fUc1JY8ux1VjB8A0Yghx31uMLiH2pI99mL+1ne41W3Cs24G/saX389oIK7aiUdhGjMWUniEqqPqALMvUvvwvvE0NAOgtkcQPmUj8kEkYIqKVDU5FdCYr2TOuIDZnDFVr38Lb0UbtS89gGzGGhPnnoYtQvkWOeVAWCXMX0fzxu9hf/Qjj4EEYc/q2FbQgCMKpRg7KOCpC5xpJoiXpMRs0MpQwFHMM1e3sBSZ+/2An1Tvbsdc6iUlTLnGTPjwac5QeV4eHzn31RBWlKRYLQP3Hu6lesgnzmPZTImHYtXIzQbcPv1MdVYbNPe1IC1TQjlSWZba9G6p2PP9i5ZOXwrEr3tOTMBwmEobhptVpuOTPo3n5rq0cXNPMvvvfovBPl6qmxbEgCKcPkTAUBAW4ehKG4Z5f6KtuINjlQGvWEzmsbysZXbV2XDV2NDqJwZNOjTYyfSXgD/Lpw8VseClUgRk1PI2h9y7AlHRyJ9m+DheHnl5J47K9AGijbMRceS6W8cP7JHEnyzKe/WV0fb4e57ZiCAYBkAx6rEOHEzliLJac/LAmuU91st+Ps7yU7n27iJ9zLlqzGUmSiBo3CfeOvSQMm0x0RiGSRnyPv0lU+lAKLriHum3LaNq7iq5d29CaLSQuvEDp0ACInjQNV2UZ3cW7aH78ZVJ+fRdaq2jRKwiC8E3cDR0E3T50Bg1xmeL18lgNGhkNwI6tXmRZFpu4VCoxScuEMwxsXOdlz7J6pl2fo1gsGq1E7uQEdn9cR9umcsUThkkzh1G9ZBPu3QcIOJxoIwZuIino8uDavBOA5PnKt3v1O710bK0A1JEwrN7ZTku5A7NZYt45Ys73QPJVhaEYQdMfdAYtVzw6lhdu20T55jb2/eJ1Cv58OdbB4p6bIAj9RyQMBaGfybKMq6JnfuGQ8M4vdPVUF0aPGoRG37cJiLaedqSZY2Ix2fquBeZA5+rw8ubPtvXOZ8i4ahJZ3zvjpFv+tKw5SMnfPsNnd4IE1rMmEXPh2WgiTn4uZdDppnvdNrpXbMRX29j7eXNWDlFjJ2IdOlw1s+IGIjkQwFl2kK49O+jet5ug2wWAOXMwadFjAbAmT0WaP03JMAcUrd7IoImLiB08irqtHxN31tlKh9RLkiSSzrsMT2M9vtZmWp5+ncQfXoOkETM/BEEQvs7h+YUJOVa0OvFaeazSCqPR6aC5KUhtTYD0QeLSXq0WnGtm4zovuz6qUzRhCJA/rSdhuLmc7OunKhpLRHY8EdnxOMpbcG7Zg23GBEXjORmOTTsJun2Y02MUT8RCqBNQwBckPiuCxBzlu3Acri6cu8CE1Spe5weKttYAjQ2hTcTJQ0QHgP6iN2m56h/j+fdNG6nZ1c6Bn79G/m8uxpafpHRogiCcJsRVhSD0M5+9lYDTATotxuzwXkx4SioAiB7Z9y3x2nfXAjD4DLHT6bCmQ10suWszbVUO9CYNeT9dSML0k2uv47U7KX3sc5pXlQCgT00k7voLMeae/ExKX10TnZ+sxrFhB7I3tHNQMuiJHDme6AlTMCaFd77mqc7b1kLLpx/gLC8l6HL2fl5nthGdWUSM/6sTflEVcGIiEjLIm3cLNENXZmhDRvv6VUSOGofWolyVitZkIvXSa6h65lHcuw7Q+fEqohaeqVg8giAIauZpCc3uVcOMrYHEYNaSOjyGqu12Pl/m4ZobxaW9Ws2db+LX93dQv7+T1ioHcRnKnaPkTQldu3UfbMLb5sAQq2xVb+LMoZQ/uwbH2m0DNmEoyzLdX2wEIGV+33R+OVktPe1Ih81KVjwenyfAnmX1AJx/8clvdhX6z8ovPECoXbjJKjaJ9ydjhI5rnpzAs9dvoOFAJ9vveIm0C8aSdc1ktOb+nVsc9Ado316N1iJ+BwThdCGuKgShn3lqQ7vrDBmpSLrw/ROUZRlPWWgtW0HfJ3669oVO+geNjOnzYw9E+79o4K2fb8PrDGBMtFH40GJseSe+A0yWZZq+2E/p41/g73SDRiJywZlEL5qJZDi5EzVPeQ2dH6wItR2VZQAMCUlETZhM5MhxaE3iQu54BFwuvC2NuKoq0EdFYysaBYDGYKS7eBcQmr8Xkz2CmOxRWJOyRbVZGNgqZaob1tL8yXu0b1xNymXXYkpRbki8MTmVxAUX0Pje67S/9SnGvCxM+VmKxSMIgqBWh+d9iZuRx2/E/FSqtttZ+q6La24U7VzVKiZWw8TJBtatDrUlnXFTrmKxWOOMpBVGUbu3g7bN5SSfrWz7zKQ5BZT/ey2ekgp8jS3ok+IVjedEeMtr8FbWIum1JM8rVDocAh4fHZtCI1AKVdCO9MCXTbi7/KSkapgwqX8THcLJ+eRDNwCFc8VGYiWYo/Rc98wElv5uL3uW1VPz5laaV5WQd9cs4iaFt1pdDgRp31lN85cHaF5zEH+nm1HnKl89LQhC/xAJQ0HoZ+7DCcOs8L7Z+pvbCHZ2I+k02HIT+/TYnpZuPM1dSBpILYzu02MPNMGgzKp/HmTFEwcAiBqRTsGvzsUQfeK75D0tXZQ8+hltG0Kta/WDUoi74SKMJ/E7c3g+YccHX+LuaVULEDG0iJjJZ2LOzFZ896nayMEgss+LHAj0VqvJwSBtqz7H19aMt7UFX2tzqGK4hyUnH1vRKGyVMmBl0BnnY4lLIyIhQ8wl7Adx+izabbF47W1UP/N3Es+9iKjRyu1WjxwzEWfFIbp2bqXlyVdIeegutJHKt4USBEFQk4AjVMFgsolL0+NVdHYKH/9xL3t2+Sgv85M9WHwP1WreQnMoYfipsglDgLxpCaGE4SblE4bGeBsxYzKxb6mge+VmYi6Zr2g8J6JrxQYAEs8cgj5K+Upp+9ZKvK4AUckm0oqUnzu344NQZ6JzzjOj0YjrzYGioz3IutWh9+eiuconnk9XEbFGLnt4DAcWN7H0t3tor+tiz/3vEj89n9zvn4Uxvu+uLQMeH53F9bSsLqF51UF87V91SYqINWCJFgl/QThdiCsKQehn7rpQwtCYHd7KF++h0DrW3EQ0hr79p961P1RdmJgbidFy+r6MeJ1+3rl/B8XLQ9+P1MWjyLntTDS6E08MNX5WzMG/f07A6UXSaYhcNIuoBWcineAxZVnGtXM/HUtX4D1UFfqkRoNt+Bhip83EmKi+k/+gz0vA5STodCLp9RjiQq2T5ECA9o1rCPp8oUSe3xf6OBCAYBBjcioxk2f0Hqf25WeR/T7koAxyEDkYhGDo/6a0QSSde1HvY6ue/hsBtyv0934/QY+boNcDsow5czCDbrgDAEmjwb5+5VEtRiHUZjQifhCRiUN6koUhiQXKzoY53Vji0hi2+EdUrHyFjup9NL7zKu7qShIXXoCk7f+ErSRJJJ1zEZ7aarwtTbT++y0S7rpaJOcFQRCO4HeEKgyNEafvOeWJssYZyZmcQMnqZpa+4+KuH4sZU2o1Z56Jh+7roH6f8m1J86cm8uVTpdi3ViIHgic9a/1kpZ47ko49NUTHehSN40SN/OEEqlIkEs8cqnQoALSsKQWgYLby7Ugddi+lqxsBWHyB6GIzkHy+3I3PF2pHmpgj3luUNmR6ItnvTueLJw+y7oVyWlaV0LW1jLTvTSF2bBbmQTHHfR/K1+GkY28dHXtq6dxTi6OkgYD/q3sZ5ig9hXOSKTo7lezxsfjcAda9WN7XX5ogCCokrsoEoR/JwSDuuhoADGFOGHpKKwGILEjt82N39rQjTR8e3efHHii6mt28cscm6oo70Ookcu6aTcqCESd8vIDbR+njX9Dw8R4ADIMHEXfDRRjSTrytqae0CvvrH/XOskSnI2rMRGKnnIk+Ju6Ej3uiZFkOVeMFAugiQ7tdAy4XDe8uwd/eTsDRRcDlRPb5ep9jGz6alIu/F/qDJNH8yXvfePyI/IKjEobOspKjjnUkjeHo3XHethaCR1QKHklyeI9KAiYNm4YkaTBGxmOKjMcYGY/WYPr2L17oNzqjhZw519Ow43Pqti+jY8t6/F2dpFzyPTT6/t8VqTEaSbnke1Q+/Siu7fvo/nITtrMm9nscgiAIahVwhpIERqu4ND0RI89J600Y3nm3VfEEgfD1YmI1TDzDwLo1PVWGNypXZZg+PBpzlB5Xh4fOffVEFSnbZi7ujBwmvXwT+igLFTWKhnJC9FEWcm6e8d0P7AdBf4DW9aF2pAUqaEe6+5M6/H4oKNKRmy/aTg8kn3wg2pGqjcGiY96PhzFyYRrvPbSbmt3tlD21kjJWIum1WDJisWYnEDE4nojBCRiiLfg6Xfg6XPg63fg6Xfg7Qn/uPtSEs6rtf9awJRjJm5LA8PmpDJ4Qh1b/1YYSH4H+/HIFQVCQuCoThH7kbW1G9nqQDHr0KQlhXcvTU00WOazvT/B6E4an6fzCxpJOXr59Ix0NbizRevIfuICo4SeeAHZWtVL86w9wVLSABFGLZxO1aOYJz7nzNbbQ/uYynJt3AyAZ9ERPmErM5DPRWftnd2DA7cLbWI/niP+8TfUE3W5sI8aQctFVQChx59i/t3eWYi9Jg85oweDRH5Gsk4jNHYek0aDRGdBo9Wh0eiSNFkmjwWiLPyqxlzn54tCzJAkkDZKkCX1PJQ06UwTWIx6bN/M6ZFlGkiQkjQ6twRT6T29C0h79Vpk6em7ff8OEPiVJGlJGz8Ecl0rZihdwlBTjrq7EMjhPkXiMyWkkzD6H5k/ew77kA0xDstGn9m2raEEQhIFKVBienGFnJWGxSFRXBdixzcfosaJlmFqdvdDMujVe9n7aoGjCUKOVyJuSwK6P6mjbVK54wlDSSKpo5Xm8gl4fgwe3Kx3GUdp3VuPvchMRayBzdKzS4bBjaagd6eILBt7P93Qm2pGqW8rQSG5+aTJb3qxix9JaGg924XH4cRxqxnGo+biOlTDYSuaYGDJHx5I5JpaYdLPYeCQIgkgYCkJ/cteEqv4MWWlhbY8X9HjxVYeSen1dYSgHgnSVhNqKpA8//RKGpWubeP3HW/E4/JjTYyj63fmY0078+9D4WTElj35G0O1DE2kl/tbLMBec2A2EQJeDjvc/p+uLjRAIgCQROXo8cWfNQx8VfcIxfhc5GCTgdPQmI4M+L4f+7/7/TQL20LR7jkjsacicejE6kxW92YbOGIHOZEGjN33tiWr2jMuPOa643LHH/FhrUvYxP1YYOKIzCsmbezOdpnbFkoW9sUyahuPgfpyHDtD81BJSfnk7kl6chgmCIByuMDTZRPXJiTBYdOTPSmXH0lqWvuMSCUMVmzPPyK/vh7riDtqqncQOUi6Jkjf1q4Rh9vXqaaEf076DukoT5pHqaO/5bVr/+SpdwS5yv38WEdnxSocDQMvqUDvSYbOS0WiVvenfUtFNza52tFpYuFh0YxlIPvvUjd8v2pGqmUYrMeHSTCZcmoksy7TXuWgo6aKhpJPGnv+7O/1YYvRYog09/331cVxmBBmjYoiIEecMgiD8L3GnShD6kasy1O/bmJsZ1nW8FbXIgSCGuAiMiX17gueobCXo9mG06ogf3HcDlgeCza9X8NHv9xAMyESNHEThA+eijzyxWQz/3YLUNCyH+FsuQxt9/D8v2R+g89M1dCz9AtkVuulmyR1KwtnnYEzq+5a0ciCAu7YKV0UZzspDuKsqMKakMej62wHQ6A3oY+PB7cUck4o5NhlzTArm2BRMkQlodEffEIzPF+0ZhfCxpeRgA7p6/uxrt4MkhTWJ/nUkjYbkCy6n4sk/4auqp/3tT4m5dEG/xiAIgqBGfqeoMDxZI89JY8fSWj5a6uLeX0ViMIjqADWKjdMyYZKB9Wu97F1ez7TrcxSLJW9KqNtNd2kT3jYHhljlZioe1ryqhOJfL0UbF03aH39ywjPc+4Onohbn1r04JUCjjn9vciBIy9qDABSqoB3pjg9C1YVTphuJT1Dvz1L4X4fbkRadLdqRDgSSJBGTZiEmzcKws058pI0gCMJh4qpMEPqRu6onYZgX3oThV+1IU/u8nUBncahyMa0wGo1KLo7CLRiUWf5IMeueLwMgaW4h+T+ag0Z/Yhc+zho7xQ++3yctSD2llbT+5218NaGqT2NyGvFnn0tETv4JxfZtHAf307VnO9379xJ0OY/6O19DI9byQO/XUHTOj/8nMSgISrJVyvhcXZQvewo54Cf9mlsxxIW3NfR/09kiSV50GXWvPEfnx6swDc8/4YpiQRCEU0XA0VNhKGYYnrDBE+Owxhtpb/Gw5ksPM+eKah61OnuhifVrvexZpmzC0BpnJK0witq9HbRtKid5XpFisRwWOzEbfbQFX2s7jo07sE459m4h/a3jneUAJM4cRkRm/8+G/zqdxXX47E5MkTqyJygbkyzL7OxJGJ57/oltsBWU0d4eZP2aw+1IRcJQEAThdHRiA7IEQThuQY8Hb0sTAMacjLCu5a0InZzbhvX9zkJnRQsAKQVRfX5sNfJ7A7z5k629ycKsa6cw5Cdnn3Cy0L61ku13vIyjogVNpJXEn9xI9HmzjztZGHS6aX3hXRp+9xS+mkY0tgiSzruMjFt/1GfJQjkYPDr29Svp3L6ZoMuJ1mghOms46RMXM2zxjxhx+a+O+hpEslBQIzngR+OT8bfbqX72H3ga6/s9BuvQIqLGTwag9V9vEHS5+z0GQRAENQn6QucbSrfPG8i0Og0jF4a6Srz0vEPhaIRvM2eeCY0Gavd20F7vUjSWvGmhjVNtm8oVjeMwrVFP+oVjAOhYugI5EFA4oq/nLqnAtXM/aCQyv3eG0uH0al4Takc6ZHoSOr2yt/pqdrVjr3FhiZCYfbbYwDCQvPWqE78fkvNtJJxmHaUEQRCEEJEwFIR+4m0LDR/W2CLQRob3xMvXEForHLsd/d2h3WYRscY+P7baeF1+lty1mb2f1qPVaxj68wVkXjXphKs2a9/bzq6fv4W/24MhJ4OUX9913NVFsizj2Lybul88TPcXG0CWiRw9gezb7yVqzIQTqlL8b96WJpo+fo+yPz2Ar7O99/PJGRNJKJhC/oLbGHnFg+TMupakoulY4tORNKLNjKB+BmsMQ865A3NMCoHuLmr+/QTe5sZ+jyPh7HPRx8YRaOvAvuTDfl9fEARBTYwJoXbsSidPBrpJV2Sh08G61V52bvcqHY7wDeLitYwcHdpYV7q2WdFY8qcmAmDfVokcCH7Ho/tH6uLR6CJN+BtacKzfoXQ4/0OWZeyvfQRAyvzhWNJPfJZ9X5JlmZY1Pe1I5yjfjnT3stCmvJlzjJjNYjPIQOF2y/z7mdCmk8lXZyscjSAIgqAUkTAUhH7iawldEOqTwjsQXZZl/A2hKkBzGC5g/D1to071OTPuLh8v3bqR0rXN6M1aCn97AUmzhp3QsYL+AAf/9hmlj30BQZmIKWNI/tlN6KIjj+s4/tZ2mv/2Ai2Pv0ygvQt9XALp195G8vmXobWc3NwRORCgq3gXNf95ioq//4H29SsJOB341+7GViljq5SJyR5JxhkXYEvJFQlCYcDSm23kL/w+lvhBBJwOap7/Z2iuYT/SGIwknXc5SBLdqzbj2nWgX9cXBEFQE3NKqGuFvcb5HY8Uvk1MmoUR56QD8MTfuhWORvg2U2eENl4eXKdswjB9eDTmKD3+bg+dxXWKxnKYzmJg0KXjAeh473Nkv7qqDJ1b9uA9VIXGpCPzavVUF3aXNOJp7ERv1pI7uX9b7v+3YFBmT0/CcME5oh3pQPLmq05amoNEp5oZuTBN6XAEQRAEhYiEoSD0E29r6IJQlxzehGHA3ons9YFGwpTc921DDycMTbZTN2HosHt4/sb1VG5rw2TTUfiHi4kZe2JzJ30dLnbf+xZ1S3eCBNGXzCfuxouRDMfXstOxaRd19z+Ka8c+0GqJnTGHzO/fg2Vw3gnFdVjA5aJ1xTLK//pb6l/9D86yEpAkogYVkDv3RhKGTj6p4wuCGumMFvLOvhFTdBL+znZqnn8Kf3dXv8ZgyRpM9MSpALT++y0CDnGjXBCE05PpcMKwVlQYnqwZN+ei0cDKLzzs3e1TOhzhG0yZHkoYHtrQQjAgKxaHRiv1JpfaNlcoFsd/S1s0Gn20BX9zG91rtiodzlEca7cBkH7ROIxx6mnX2Lw6VF2YPy0Bg1nZjZ3VO+x0Nrqx2qTe33VB/bxemWefCm02mXb9YLQKt7UVBEEQlCPeAQShnxxOGOqTw7vj73A7UnNKNBpd318sBA5XGFpPzRl1nU1u/n3dOuqKO7DEGCj402VEFZ7Y7jpHZSvb7nyF9h3VaM16Eu66mqgFM46rpWnQ7aHl2TdoeeIVZJcbU1oGmbf9mPhZ89Ho++BnIAdpW/05/s4OdCYrySNnUXTxL8idewNRg4b1SYtTQVAjnclK3rybMUSEKrFlv7/fY4ifvRB9XAIBeyf2l97v9/UFQRDU4HDCsE1UGJ60uIwIhs8PzTJ86rH+3QgjHLuiEXoiIyXcnX5q97QrGku+yuYYAmjNejIun4AxKRJNhLoq1Mb/cR75P57LoEvGKx1KL1mWaelJGBbOTlE4Gij+vAGAmbNNGE2iHelAsfQdF/V1QazxRsacP0jpcARBEAQFnbolQoKgMr0tScNcYdjbjnRQeOYp+B2hmSgm66n38mGvcfL8Teux1zgxxFsp/NNFWDJObA6kfUcVe3/1HgGnF218DIk/vAZD+vHNk/CUVdPyz1fxN7aCJBE7fTZxZ85F0p54ItjT3Ihj/x5ip80CQGuJIHX0PAwRUURnjUCjPfV+roLwTQwR0eQtuBVXtgmd1dbv62sMBpIvuJzqfz2GY/0OzKMLiJgwot/jEARBUNLhjhj2WpEw7Aszbs5l10d1LP/Ew4H9PoYMPTU3+Q1kOp3EGVONLPvIzcF1LQwaqdwcvLwpoYRhd2kT3jYHhtiTG3PQV1IXjSJ10Sg0ei0VNUpH8xVJqyFl/nClwziKs6IVV60drV7DkBmJisYiyzL7vgjNB589T1QXDhSBgMzTj4eqC6deOxi9UYwfEQRBOJ2J0hFB6AeyLPdbS1JfYyhhGK4B7L0zDG2n1s2H5rIunrtmLfYaJ6aUKEb99bITThY2ryph98/fJuD0YszPIuVXtx9XslAOBun44Esafvck/sZWdJHRpF97G/Gz5p9wstDTUEvda89T+Y8/0bL8Q1zVlb2zCZNHnEVszhiRLBROS6bIeGJav2op5aosQw7037wc86AsYqfPBqDt+Xfw2zv7bW1BEAQ1+GqGoYtgULn2jKeKxBwbBXNC553/fEzMMlSrw60aSxWeY2iNM5JW2FPlu1k9VYYavRaNXj1JC8fGnQyKU8ecx//WvLoEgNzJ8RgjlL2eayrtpq3aicGIaEc6gHy01E1lRQBzlJ7xl2QoHY4gCIKgMJEwFIR+EHA6CLpdIEnoEk8sCXWseisMw5AwlGX5qxmGp1CFYe2edp67dh2dTW4smXGM+utlvTevjlfdBzsp/s1SZF8Ay7giku65AW3ksc+38Ns7aPzzv2h/8xMIBLEWjiTz9nuwZOeeUDze5kZqX3mOyicepnvvTpBlojOHY2sTF3CCcCRbpUzH9k1UP/c4De++hhwM9tvacWfOxZiSTtDhovXZN5FlccNcEITThzHBBhqJgC9IV5Nb6XBOCWfeHJpx/fEHbspK+7/ltvDdpkw3AFC7y467S9l5k3kqbEt6mCzL6Ld+SvtbnyoWg3PLHlqeXML2O18h4FbfbNCWNaUAFM45vm424VD8Ragd6eSpRiIixO3GgSAYlHs3l0y5Ohuj5dS5zyMIgiCcGPEOLgj94HA7Um1sFBpDeCvzfGFMGAbdfujZ+X2qVBgeWtfMf65fh9PuxZqfxKhHLsEYf/wD7GVZpvKl9Rx89DOQwXrmROK/fwXScfy83QcrqX/gMTz7ypAMepLOu5SUS65Ga7YcdzwBl4umD9+m4vE/49i/BySJmMGjKDj/HnJmX4s5Oum4jykIpzpbdwRIEl07t9D8yXv9tq6k1ZJ84RVIeh3uPSV0r9jYb2sLgjAw+LpO3USapNVgSooEwF7rUjiaU0PK0EiGnpWELMNTospQldLSdWTnaAkEoGxjq6Kx5E8NtbG0b61EDvTfhqlj0bmvntLHvqBj6Re4du7v9/V9jS20Pfc6ADHjMtGa1HUN7Kq14yhrRqOVGHqW8td3+z4PtSOdNdekcCTCsfr0YzelB/1ERkpMuiJL6XAEQRAEFRAJQ0HoB962/plfKAcC+JvbgPC0JPU7Q9WFkgYMZvW0iDlRJasaefmOTXhdAaJHZzDyL5egjzr+5Jwsy5Q9s4qK/6wDIGrRTGKvOQ9Jc+wvsY5Nu2j849MEO7sxJKWQeeuPiRozEUk6wUHxkkT3vj0QDBKVUUjBBT9h8FnfwxybcmLHE4QeAa+btrLttB3adtTnDy57huJ3Hu7978AH/6BsxYvUbFpK8/4NCkV7fKIyCsiadhkA7RtW0755Xb+tbUxMJn72OQDYX/0Qf2t7v60tCIL67f75W3jbHEqHETamns4ODQdEW+a+ctYtoe4UH7znYt9e9VVFCTBlmjrakqYPj8Ycpcff7aGzWF1tN6MKUkk7bzQAbf96FV9T/yVXgy4PzY+9SMDpJbIwlewbp/Xb2seqefVBALLHx2GJMigaS2ejm7riDiQJzpotutkMBF6PzN8f7gJg7BW5mE6RTeGCIAjCyREJQ0HoB4Hu0M5ebZQtrOsEHS7oaaNniOn7gfWHd5xqdZoTT2SpRMmqRl794RYCviDxU3MZ/rvz0VmO/yJLlmXK/rmSmte3ABBzxTlEXzD3uL4/ncvW0PLkEvAHiBhWRMaNd2GIP/6B9f7urt5WhlqTicFTLydv/q3kzrleVBQKJ8Xn6qJ5/wYOLnuGnS//ivIVL1G39ZOjWme62xtxtdX1/tfdWI69bAeNu7+kqXj1Ucer2fg+9Ts/x+fq6uev5LvF5Y4ldex8AJo+fBtnRVm/rR09cSrmjGxkrw/7ax/127qCIKifq9rOjh+/hqfl1KwWix2fDcDmN6pEW+Y+klYUTdHZKQSD8Kt7OwgExPdVbc6YGkqqlG9WtsJQo5XIndzTlnRzhaKxfJ3BN0/HNjQZf5eb5r+9QNDlCfuacjBIy9Ov4atpxBAbQcEvz0GjU9+G2ZY1oYShGtqRlqxpAmD4SD3xCer7Xgn/6+knuikrDWCNMzL5e9lKhyMIgiCohEgYCkI/CLicAGisx1+9djyCjlAbJ53ViKQV/7y/ycHVRyYL8xh2/zloDMffq1+WZQ49+SU1b24FIPbq84icO/XYnx8M0rbkA+xLPgjNFpw4ldRLr0VjPL4dmbIs07F1AxV/+z86t4VaGdoqZWwpuUSm5h3XscJJlmVxE3CAsVfsZv8Hj7HrlYeoWvsGnTX7kYMBLOZ4kqILiSx1EnXIQ9QhD4W5FzFyxHU9/11LYcFl5OYsYFD6FFKjR/Q+zryvlabiNdRt+Yjdr/6Gsi9eoLPuoKp+N5JHziImexQEg9S/9h98HfZ+WVfSaEhYeAFIEs5Nu3Dv779kpSAI6haZZMJVbWfnj1/D3XTqVeGlzC/CYNbSeLCLQxuUTZ6cShb8rACrTWL3Th+vvOBUOhzhv4ydYECSoLncQVeLsm2H86f2JAy3VCgax9fRGHQUPrgYQ1wEvtpGWp4O/6zp9reX49pejKTXUvjgIozx4d34eyLcTZ107W9AkmDYLOU3h5auC41GmXamqC4cCEpLfPzzH6FNSAt/XoA5SlQXCoIgCCFimq0g9IPg4YRhRLgThqF1dDYxM+CbHFzdyJIfHJksXHjCu0XLn11D7duhtoyx156P7cyJx/xc2een5ZnXcW7aBUD8nHOImXrWcVdu+ru7aHz3NRwlxQC4tuwgLW4CKFAB6ve4cLbW4G5vwu/qwufqIi5vHNak0G7F9ordlK14AY3OgEZnQKs3hj7WG9DqjMTljSM2ZwwAshwEpAFfyTqQybJM68FNOBorALDZ0kmILyAhvgCLJeF/fjYx0ce2K1WrNTI07zxq6zbR2VWNvXwn9vKdGKMSSBgyibj8ieiM5r7+co6LJElkTrsEd0cTrrY6OndsIW7GnH5Z25SSRtS4M+jYvI62l94n5aE7kbRil7YgnO6ufnI8L925hfbadnbe/Toj/3IxpuQopcPqMzqrifi5w6l7bwfrXywn94zwtvE/XUQmmjjrB4Us/e0e/vqnLubMM5GcIt5T1CI6WsPQAh379vqp2NzG8PmpisWSNyWUMOwuacRrd4SlW83JMMZbKXxoMTt+9Bqu7cV0vPMZ0RfODctaAYcT9/pNAAy5ey6RBcr9XL5Ny5pSADJGx2CLV/b6P+APUro+1FpXJAzVLxiU+eXPOvD5YMiMRIrOFmNLBEEQhK+IhKEg9IOAKzRzRhvmhGGgO1RhqBcJw691cE3TUW1ITyZZWLVkI9Wvhi4kjzdZGHS4aPr7C3gOlINWS/L5lxE5Yuxxx9C9bzeN771OwOlA0mpJHTOfpKIZ/Zpkc7bW0bDrC5wt1Xg6W/7n782xKb0JQ73ZCrJM0Och6PPg/692lNGZRV8dt7makk+exhydhCkmCWtSNpFpQzBEnDo3R9VIlmXkYACNVockSWRMvoguaTWpKRMwmfrme6/V6klJGUtKyli6uuupq9tEffMOPB3N1GxaSsDnIXXM2X2y1knFqTeSM/s6mpz7iRo/uV/Xjp81n67iHfhqGuhesQnb7DP6dX1BENQnOtXMjf85g+eu30BbdQc77n6NkX+5BHNqtNKh9Zm088dQ994ODqxqoqWim/gsq9IhnRLGX5LBjqU1VO9s57e/6uAfz8QqHZJwhAmTjOzb66d8c6uiCUNrvJHUgkjqijuxb6kkaU6BYrF8k8ihKQy5ey77//wJ8elB/GFaJ2eIg/R/XEnLukOq/D4c9lU7UuWTPbW723F3+omKkhg+UlSqqd2rLznZvtWHJULi3PuLxCZdQRAE4SgiYSgI/SDg7K+WpKLC8JuUrmvi1R9sxu89nCw88TkUte/toPzZNQBEX7rguJKFgY4uGv/yHL7qeiSzkbRLr8cy+PjahgY9bpo+fpfObaGEpTk2hewZV2KODd/FoizLuOz1dFQVY03KxpaSE/p80I+9bHvv40ymGKwRyRiNNgwGG3GeZCIPheaM2ILJxJ9xL4GAj0DAQyDY8/+Al0DAS3QgC3PPYx31tQR9bhzNlTiaK2ktCX2tpuhkItOHkDBkIiYxl7FPeR0dVK19E63RTPaMK4g65AFMJGSHr7LOZk1hSP5icgbPo7FpF42NO0gqmtH79z5XFzpTBJKkTItloy2WQbbJdPVcRMuy3C8X1FpLBPFnzafpg7dof3sZlvFFYZ+BKwiC+kWn9CQNb9hAS0UXO3/8GiP+fAmW9BilQ+sTlvQYYicNpm1DGetfruDc+4q++0nCd9JoJM57cARPXryKz5Z5+GyZm9lni2sFtRg/ycDzzzoUn2MIoSrDuuJO2jaVqzZRljSnANuwlJ7XvWYqahL67Nj+1na0saENcsYEG2mLR/XZsfua1+6gc3cNoI52pCVrQ9WFk6cZ0WpF8knNGuoDPPyH0MbdmT8oIDpF2c4ugiAIgvqIhKEg9IOvZhiG92Qs2N2TMIwUNwGOdGh9M0vuCiUL4ybnMOy+E08WNn5WTOljnwMQde5MouZPP+bn+pvbaPzLs/gbW9FabaRffQvG5OPfSexprKdz+2aQJJKKziR17Dw02r5/OQ/6fXTVl9JRVUx7dTE+RzsAcXnjsaXkEHXIgy0YhydrNpGR6UTa0tHrvzkprtFoMRojj2nt5KSRRNrScDib6O6ux24/RGdXLe72BtztDUSlD+lNGPrdDiSNFq1B/N6fCFmWaS3ZSPXGpQR9biSNliFxZ4G5/yoQdDojaanjSUsdD9UAHtoHGzi0/N8EAz7Sxi8kMm2IYrtfbZUy7UluGt56hegJk4nIGxb2NaPGnUHH1g146mtpW/IhCbdeFvY1BUFQv8gkEzf8exLP3bCR5rJudv74NUb++WIsGXFKh9Yn0i8YQ9uGMra9W8PsO4aImUp9JCnPxuRrc1j1r0P85pcdTJpswGoT887VYNzEo+cYKtlaMm9aIiufOUTb1grkQBBJq87fkSM3SXhKqwh6vZgLck/4eLI/QOdHK+lY+jnD7p0Pg4b0RZhh1bL2ELIMaYVRxKSGd1PysTi4JpQwnCrakaqaLMv8+v4OHN0yg0ZGM+HSTKVDEgRBEFRIJAwFoR/09wxD0ZL0K2UbW1hy1yb8niBxZwym4JfnotGfWLKwZe1B9v/pEwBssycTdcGxV155axtp+suzBOyd6GNiSbvmVgyxJzafx5yRTfr4c7HEp/dW+vWlgM9D9YZ3sZftIOj39n5e0uqJi84hUTe4p/oMNBod2Vkz+zwGjUaH1ZqM1ZpMUuIIAHw+J232UtrspaQ60ujueWzDrhU0Fa8hOrOIuLxxRKbmIWnEfJ5jIQeDVK55ndaDmwGItKUzdOiFmPsxWfhNDHvqcHc0EvC6KV32DLaUXAZNOi+slbTfxvnxlzgO7MVVeYiMm3+IIT4xrOtJGg1Jiy6h6ulHcW7YgWvqGMxF+WFdUxCEgcGWEEoa/vvGjTQe7KL4nlcY9sfLicge+HP/okdnEJEdj6O8hS1vVTHt+r4/zzldnXVrHnuW1dNY7eTRP3dx/69Fm3c1iI7WMGSYjv3Ffiq2tDF8nnJtSQeNiMZk0+HudNNV0kjkMOVbXX4bORCk6+XXcZS3YBk3nJjLF6KLiz6uY3gr62h59g18VfUAtG0qJ2HGAEgYri4BoGBOssKRgMPupW5vBwBTp4uEoZot+8jNF8s96PVw3oMj0IhqUEEQBOFrqHPLmCCcYnorDCPCXGHoCM0w1EWKthIAFZtbeOWOjfjcQWInnlyy0L61kuLffghBmYgpY4i54pxjrnbylFXT+H//JGDvxJCQRPoNdxxXsjDgclH/xot420IzAm2VMknDZ/RpslCW5d6PNToDjsYKgn4vRmMUaakTGTH8GqZPvp8Rw68mOWlkn617PPR6C0mJIxg25AK0Wj1RhzxEHfLgra5CDviwl22ndNkz7Hr1N1RvfB9nW50icQ4UcjBA+cpXQslCSSJn8DzGjrkVa4TybY0ALJZ4Jo+/h0HpU5E0WrrqSyl+9xFqNr5PwOfp93iSR84mIjGLoNtN3av/Iej1fveTTpIpbRDRE6cC0Pb8uwQ94V9TEISBwRpn5PrnJpEyNBJHm5fin7xCd2mT0mGdNEmSSLtgDAAbXqkg4A8qHNGpQ2/SsuhXwwF4+Xknu3aI9xS1mDDJAKB4W1KtTkPOGaFrlLbN5YrGciyCvgDRIweBRsK5ZTf1v/gL7e99juz1fedzZZ8f+1vLaPj1P/BV1aOzmRj68wXk36P8HO3v4uty07GzCoDC2conDEvXNyPLMGSYjqRksWlTrTrag/zuV50ATLkhl6Q8Me5AEARB+HoiYSgIYRb0eZF9oYsWrTUirGsF+qnC8IjckmrV7Lbz8u2b8LmDxIzPovCBc9EYTqyouutAA3seeA/ZF8AytpC46y9E0hzby6entJLGPz1DsNuJKS2DQTfcgT4y+pjX9nXYqXr6Ubp2b6fhjZewVvT9jbOOqmL2vfNwbzWhJEkMyVzImNG3MHnSTxmSv5j4uCFotepsCzZq5PWMG/N90tMmoddZ8Lu6aNqzkn3vPEzVurePSoYKX6le/25o/qSkoajgcjIzpis2K/Cb6PUW8nIXMGn83STEF4IcpHHPSva+9SfcHc39GotGqyNn1jXozDa8TQ00f/Juv6wbP2s+usgo/M1tdCxd0S9rCoIwMETEGLju2YmkFUbhbPdR/NNXcdW1Kx3WSUuaNQx9lJmOBjc7P6hVOpxTSu4Z8Yw8Jw1Zhvt/2oHHLc6R1GDCGaGqrPJNys8xzJ8a6qDQtqlC2UCOgdakJ/eOmYx96ntEjUgn6PHT8c5yan/xCN1rtyEHg8heH4EuB0Gnu/d5ntJK6h/4O51LVyAHgsRPz2f8c9eSNGuYYu3vj0fr+kME/TJJeTbis6xKh/NVO1JRXahasizz2wc6aG4OkpAdwYybTryFryAIgnDqU9edQUE4Bcl+f+/H0gkmrI55LU8oMakxhiexo4sIXQQEfEFcnd+9c1MpbdUOXrljE15XgOgxGRQ9tPiEk4Welm72/Opdgm4fpsI84m+9HEl7bDsnvdX1ND3yb2S3F3N2LunX3orWcuxJY197GzXPPY6vtRlDRAzZ4y7s04vYgM9D5Zo3KF3+LC57Pe6NW3ur9uJi84iOyhwQF82SJBEZmU5+3iKmTL6X4UVXkRBfAIDf4wRZVCd8HUNkLObYVAqHXUJiQpHS4XwrszmG4UVXMmL4NZhMMejNVoy2/m+bqrdEkn3mFSBJdGzZQPe+3WFfU2M0kbDgfAA6P1mNv7kt7GsKgjBwWKIMXPeviaQVReHq9FHyyKcDfqOMxqAj7cKxAHzwu700HepSOKJTy4KfDiMmVkPJfj+/e7BT6XAEYOz4UIVhc7kDV4ey11h5UxIA6D5Qj6/DpWgsx8o6OIGRD1/CsPsWYoi3Emix0/rM61Rd/wuqbv4lNXf+BvmLpWSlN5OV3kxidAu+uib00RYKfnUuhb86F0NMeDf29qWWNQcBKJilfHWhLMuUbQwluidPEwlDtXr5eSdL33Gj0cB5D41AbxSVoIIgCMI3EwlDQQi3IxMu/XT/Jlw5Hl2EEWNCaBdjc5k6b9447B5eum0jjjYv1txECh888WRh0Otn70Pv4211oE9NJOGOK5H0x3YsX3MbjX9+lqDTjWlQFmlX3oDGeOyVnz57K9XPPY7P3obRFseQc27HEp9+Ql/H13G11bP/vUdpObABkBiUPoXEhOF9dnylaDQ6EuILGF50FePG3Eb2mVeKeYbfIHn4WZwx4o7eGZEDQXzcECaO/wEjcy/v/bkGA346qvf1WwyRqfkkFc0AoOG91/F3hf9mq3XYcMzZueD3Y39zWdjXEwRhYDHZ9Fzyp9HoTRrad1RT/2H4NzOEW8al44keNQivK8ArP9iKu1u9G9UGmohYI4v/MA5JgtdfcfLOG06lQzrtxcRqyMgMndfU7GlXNJbIJBOJuVZkGezbKhWN5XhIkkTiWUOZ8J/ryb5xGrETskHz1UVx0PPVJt6YURkMuedsxv/7OhKmD6z50AGXj46toXaxBSpoR2qvcdHZ6Eavh9Hj1NmN5nS3eaOHP/w6dL0y9+5hZI5Rfla9IAiCoG4iYSgIYXZkhVb4d3yHPyNpyQzNtWgqVV/C0OP08/Ltm2itdGBMiqTod+ejsxhO6FiyLHPwsc/p2lePzmok4QdXozEfW8Iv6HLT/OjzBDu7MSSlkHbVjWgMx77j0tvWQvVzj+Nvt2OMjCd/4e0YrDEn9HX8N1mWaTmwkX3v/w13RxMGQySjR15PXu5C1bYcPVGRkYOILgu1WZXlIF5Hu7IBCX1CqzVgNsX0VsPWb19O6af/ombTUuR+qiZNHTsfc2wqGr2+XxKGkiSRMG8xSBLOjTvxlA6cG3iCIPSPuIwIZt81BICqZ1bgbhrYlWOSVsOw+87BmGClpcLBW7/YSTA4sCsn1SR3cgJnfT+UKHnwFx0c2CcSskobOSZ0Hl69q13ZQPiqytC+pULZQE6A1qQn47IJFP3ufCYtuZkp797B9GU/Iu8Hs496XPK8orCP8QiHts3l+D1BYtItJA9RfgZd+ZZQdWHRCD0Wi7i9qDb1dQF+cGs7fj+MWJDKlGuylQ5JEARBGADEO7oghNuRM8H6q0VUGLtIRmTFAdCssvZQfl+Q1360hdrd7Vii9Qz//QUY4058pkPd+ztp+HgPaCRib7kSfVL8MT1PDgZpfnIJvtpGtLZI0r53E1qz5bjWbv7wHfwd7ZiiEhmy8HYMEVEn8iV8rYadn1O55nXkgI/YmDwmjLuDmJicPju+GllLuij74gX2v/93vI4OpcNRXNDvo61sBwGfR+lQ+oTRHtox3rj7S8q+eJGgP/w3PTVaHTmzryXz+z/BlNp3lb/fxpSSRuTo8QC0LflwwLccFASh751xZTaDRkbjcfg5+OhnA/51whBjoeCBRWj1GvZ90cjqZw8pHdIp5cxbcsmbmoDHA3fdYqerU7RwV9KIUaFNjjW77ApHEkooA7RtqRywryOSJGGMs6KzGpG0p85tr+ZVJQAUzk5WxeiIii2hVvnjJ53YJl0hfDxumbtusdPWGiR5SCTnPTRCFb8zgiAIgvqdOmdOgqBWR56UhXtndD9cz1kyQwlDNVUYBoMy7/xiO4fWNWMwaxny24uJ6InzRLTvquHQEysAiL5oHubhx96qxv7aR7h3HUAy6Em74gb0kdHHvX7SBZcTkz2S/AW3obdEHvfzv01szhh0JiuDs89m5IhrMBhOPKk6UASDAbxNDficHRz67N8E/V6lQ1JUR81+yle8SMmbf1U6lD6RM3guBUMvRtJoaa/YRcnHT+JzdYd9XaMtjuimr3am98cNtfhZC5CMBryHqnBu3BX29QRBGFg0Wonzfz0CrV5D26Zymj7rv3bN4RI5NIXBt88C4LPHDlC6rlnhiE4dGo3ExX8YRVSKmcqKAL+4p33AJodOBSNHhyoMa3Yr/3PIGhuLzqjB29qNo7xF0ViErwQ8Pjo2lgJQdHaKwtGElG8OVRiOnyTmF6qJLMs8dH8Hu3f6iIqWuOJvYzGYxZgOQRAE4diIhKEghNlRu7j6rcIwfDvHIrJClXZqqTCUZZmP/7CHPZ/UodVJDHngPCKHnvgFlLuxk+Jfv48cCGKZNJLI+dOP+bldX26ia9kaAJLPuxxT2qBjfq4cCPR+HNMSweCZV/dJslCWZRzNVb1/TmyKYPK4u8nKnIEknR5vAXq9mRHDr0ZrtOBsqaZ85ZJ+a12pRu0VoURTXOwQhSPpO8nJoxk14jq0BjOOpkoOLP077o7+ualsrQjSsXUD1c/+g6Df/91POAk6WySxU0I3zu1vfEzQK1rICYJwtMQcG2fdlgdA5ZOf4W1zKBzRyUtZOJzk+UXIQXj9p9ux14qZe33FEm3g8kfGoDfA8k88PPf0wP99GaiGDtOjN4Cz3UdbtbK/43qTluzxoc2X9s0VisYifKVtUwVeV4DoVDNpRX3XgeZE2euctNe50GphjJhfqCpLXnTy9usuNBo4/88TiE0/vo5HgiAIwunt9LhbLAhKOmqG4cBPUhyuMOxq9uDsUL5Sa+VTB9m0pAJJgvyfLSB2XNYJHyvg8bH3wffwtbswZKYSd92Fx9y2w73vEG0vvgtA3Mx52IpGHfu6TgdV/3yU9i3rsVX2XVI5GPBTueZ19r//Nzqqiok6FGpBqdMNvHkdJ8tijmPEsCt7q9Dqti1TOiRFBAN+2quKAUhMKFQ4mr4VEz2YcSNvwWSKwdPVSsnHT/ZLe9KA10XL8g9xV5XT+vlHYV8vZvIMdJHRBFrbezcoCIIgHGnadYNJGRaJq9PHwb9/rni10smSJIm8O2dhy0/C2e5jyY+24nMHvvuJwjFJHx7NvJ8WAfDIH7rYvPHUaFk+0BiMEgWFX1UZKi1/WqgtaeumcoUjEQ5rOdyOdI5K2pFuDrUjLRqhJyJC3FpUi62bvPz+wdAc47k/GkruGcc2WkUQBEEQDhPv6oIQbv1ZYdgPN4R0FgPGxNCA9WaF25Jueq2CFU8cACDn9pkknjX0hI8lyzIljyyn+2AT+igzCXd+D43x2GYx+BpaaP7HSxAIYhs+mtgZc4553aDHTe1Lz+BpqMX+2TICXveJfglH8To6KPnwcVpLNoEkIZU39slxB7KY6GyG5p0HQMOOz2iv2qtsQAroqi0h6HNjMEQSGXnsFbADRUREIuPG3Epk5CAGTTwPjS78u511RgtZky8BwL5uJc6yg2FdT2MwED9nIQAdH64g0K6Oam9BENRDq9dwwW9GoNFJtKw52HuTeSDTGHQUPLAIS4yBuuJOlv52z4BPhKrJhEszGLkwlUAA7v5+O02NIiGrhBGjehKGu9qVDQTIn5YIQNfeGvzdIomstIDHR+uG0BzXorkqaUe6pacd6UQxv1At6usC3HWrHb8fhs9LYcq1g5UOSRAEQRiARMJQEMKtP2cY9pPDbUmbFGxLuvfTOj763W4AMr83ibTzRp/U8Wre2krT5/tAIxF761Xo4mOO6XlBp5umR58n6HBhSs8g6bxLj3nHp+z3U/vKv3HXVKExW8g7+2a0hpOv/nO21LDvvb/iaK5CazAzcvi1DEqffNLHPRWkpIxlUPoUAKrWvtkvFWhqYu9pR5qYUHDKtqQ1GGyMHX0LWcGvWq7KwfDe+IzOLCJ+yCSQZRrefZWgp28S/9/ENnw0xrRByG4v7W9/Gta1BEEYmFKGRjH9xhwADj72Ob6Ogd/G05QUSe7PFyFpYNu7NWxcUql0SKcMSZJY/MBwEnOtNDcHufuOdrzeU+O6ZSAZMTqUeKlWQYVhXEYE8VkRBP0y9m3i35rS7FsqCLh8RCWbSB8RrXQ4AFRsCVUYjp8kEoZq4HLJ3HmzndaWIMn5Ns7/9QhVVKIKgiAIA8+pebdQEFREkiTQhP6pHTmnLiw0PSeEYU5MRgwOtaip3NoW1nW+SV1xO+/cvwNZhpRzRpJ59cklw7pLmyh/ZjUAMZefg2lYzjE/t23JUvwNzeiiokm9/Ho0+mO/YGpduRxX+UEkg5H8OTdhjj353aKyHKRi9av4XV1YI5KZMPp24mLzTvq4p5LB2XOJjy9g8Kxr+6UCTU2crbUAREdlKxxJeB1OhkYd8uDuaGbv23+ms+ZAWNdMn7gIgzUWf7udli8+CetakkZD4rzzAOhevQVvraggFgThf515Sx6JuVZ87S7qP96jdDh9ImZMJlnXTwPgg9/vZeW/SkWlYR8xWHRc/texRFgltmz08ot72gmeIpsdB4rDFYYN+zsJBpT/3h+uMmwTbUkV17wq1MGicE6KKpJA3a0e2qqdSBKMGScShkrzuGVuv7GNPbt8RMdIXPnYOAwWndJhCYIgCAOUSBgKQj/QmkNDpoPdrrCuozGFqtP8zvDOFoyfkgvAgRUNeJ3+sK7131rKu3npto34XAFixmaSd+fMk7poCnr97P/Dx8iBIOaxhdhmH3vy0bljH47VW0GSSLnoKnS2yGN+rru2irbVnwOQNeUSIhIyjjv2r2Mv24GrrR6twcToUTdiNsf2yXFPJVqtnszFN2BNzFQ6lH5nigrd+HG6lEn2K6F93Qo8Hc0c+uL53oRpOGj1RjKmXBhac8Nq3HU1YVsLwJyZjbVgBMgy7a9/HNa1BEEYmHR6DZOuyAKg+RRoS3rYoEvHk37xOACWP3qAD36/VxXJlVNBQraVC/88Dp0OPnjXzf891CkSsv0ofZAWvR783iAdjeG9bjwWeVNDm0TbtlSI3wMFBb1+WtcfbkearHA0IY09o0kGZWixRYrbikryemV+cJuddau9WCwSl/x9EjFpFqXDEgRBEAYw8c4uCP3gq4ShI6zraCw9CUNHeOdM2IYmY0qJwusKcGBl/1W2dDS4eOHm9TjavFjzEin41blI2pN7Gat4YT2Oihb00Wbirjn/mJOPgc5uWp97C4CYM6Zjzjz2+QBBn4+Gt5dAMEhM9ihiB486kdC/lsveCEhkpk1DrxcXCsLRkkecxZBz7mRQ+hlKh9Jv8nIXEh09mKDPQ+mn/8LbbQ/bWlHpQ4nJHgWAq6osbOscFj97wf+zd9/xTV3n48c/V1uybMmW996AGWaHQAgECCF7772aNqPtN91799e0TZs2O2nSZrVNmr0HYUPYG4Mx3ntby9q6vz8EDmmTYGPJku3zfr14YUD3nGNhSffe5zzPAwoFrj2HcB+K/HyCIIw+k5elIynAcbgdV0tftJcTFpIkUXTHIoruPANJgi3/quff39qJzy367oVD6cJULvr1dACe+3s/jz/kiO6CxhGlUiIrRwlAT2P0ywjnz0pCpVXg7XLQX98d7eWMW7076wn0e0lI05FdPri2GZHWWR16XyiZILLYosnvl/nuN/pY87EHrRauemguuTPEhmFBEARheETAUBBGgNIQB0DAEdkLP0mvOzpPZAOGkiSRumQSAPvejVzGzvGcPR6evf0TrG1u9DmJTP1/l6KK0w5rTGtFC40vbQPAfP2lKBOMgzpOlmW6n3mNoM2BJjUdy9JzhjSvpFCQUD4bTVwiufMvGfK6v0zW7LOZO+frZGeJnoVfpL1jL237VuO2dkZ7KSPOkJyNMS0fpXL8lA5SKFRMnXwtcYZUfP02qj54Er8ncu/FOfMuJPeOb5I47/SIzXGMJjkV0+xQ8Lf3xXfF7n9BEP5HXJKWwrmh3tNjKcsQIPuSmUz80Xko1QoqVrbxj69sod8a2Sob48X087I453tlADzwBwcvvhD94NV4kZcfCsD0NET/OVfrlBTMsQDQs60uuosZxwbKkS5LR6GIfjlSgI6jGYZFJSJgGC3BoMyPvmPl/XfcqNVw5V/mDHzeC4IgCMJwiIChIIwAxdGAYdA+NjIMAVKXTASgakMH/X2RvTnjdvh47qtb6Kpzok2JZ9p9l6ExDy97LuDyUXnf+xCUiZs/A8OsKYM+1rlpJ64dB0CpJP3Sa1Coh9YHT1IqSTp9KZMv+x4qXdxQl35Cxrg0VKrhBVPHspaWrTRvfRt7S1W0lxI11qLx9fOhVuspn3YTGk0C7r52qlf+g2AgMuWU1YYEUnzZERn781gWL0fSafDWNtG/bd+IzSsIwugx5axQj+TOtZHt5RoNqYsnMOV3l6GLV1G/s5cnr/+Evtbol3IcC+ZfX8Cir4TaEPziR1Y+eFc8ryMhJ/dYhmFkrxsHq2TB0bKk20Qfw2gI+gJ0bzoCwOTlw+93Hy7txzIMS8dXP/hYIcsyv/iRjTdecaFUwuV/nEXpaanRXpYgCIIwRoiAoSCMAKXhWEnSyO4UVehHLmAYl2fBWJRC0C9T8VFrxObxuQP8655ttB60YkjUMO33l6FLHXyvwC9S+9R6XM29KBMTSLr2gkEf5+/uo+f5NwGwLD4LXcbgAwN+h52gN/R/E18vo1CF7wKrr+EAbmsnpurI/9+PZj6fiz5bPQDxGcVRXk109NbtpWHTq9hske2xF2t0OjPTp92IQq3F0VZNy47I9v2Lr5fxdLbTvfajiM6jMsaTdOoZAPS9/AGyf2T7ygqCEPvKlqahUEo4qjrGTFnS45nLc5jyp2vRJBvprHHw+LUbaau0RXtZY8Kye0qZfXkuwSB8++t9bN4ozjMjLfdohmF3DGQYwqd9DO37mgi4fFFezfjTt6sBv8ODMVlL7vTYKEcqy7LIMIwiWZb53S/tvPhCP5IEl/y/6ZQtjY3eloIgCMLYIAKGgjACBkqSOiMcMBzIMByZckyRLksa8AX5z3d2ULe9G22ciom/vQJDzvBr8vfurKf59V0AWG69DEWcflDHycEgXX97CdnlQZeTT9JpZwx6TjkYpPXFZ2h47M+odoc3wOp3O6hb+y8OvPJ7rNb6sI491nT3VCIHA+jMaejM43MXZk/1LjoPbqSvb/ztFDcaM5hWdi3G9CLSpw3+9XsyfC4HDY/9ie6P38NZdTCicyXOX4zSGI+/oxv7mq0RnUsQhNEnLklLwdxQWcGxmGUIEFeQzIy/Xo0h34K9w8OTN35CzVbRc224JEnigh9PoWxZOj4v3HlbL/v3iqBRJOXmxU4PQ4Dk/DjMmXoCviB9exujvZxxp3N9qJT05GXpKJSxUY7U2e3FZfUhSVBYLAKGI0mWZf70OzvPPBXKQL7oF9MoPycryqsSBEEQxhoRMBSEEaDUj1BJ0oEehu6IznNMyhkTAKjf0Y21Lbxlivy+IK//dDeVa9pRaRVM/OUlxJekDX9ch4fKP34AgPGMU9BPKR30sfaPNuE5WIOkUZN+ydVISuWgj+1Z+xGu+hp8NiuSYvDHDUbz9vcIeF3EGVJJSMgJ69hjTWfnAQDM+VOjvJLoMSSHsmJtjpHpPxprkhKLmTPhFlS6wfUsPVlqvZGUCaFeoh1vv0LQG7mNHAqtFssZZwFgfeNjgq6R+QwQBGH0+LQs6djqY3g8XWoC0/98FaapWXgcfp65Yyv73muJ9rJGPYVS4vL7plMw10K/U+YrN/ZQUy2y2SMld6CHoTMmehNLkjRQlrRX9DEcUUF/gK4Nx8qRxk4GWXt1KLswJ1eJThcbQczx4qE/O3jy0dA9pfN/PIVZl4hrf0EQBCH8RMBQEEbAiJUkHeEMQ11qAqZp2cgy7H8/fDdkuhucPHX9Bva+3YxCKTHhxxdgLg/PyXD1o6vxdNhRpSSReOU5gz7O29xO73/eByDlrAvRWFIGfWx/7RG613wIQN6pl6IzDf7YE3F2NtJVuQWACSXnI0nibf2LBAJeunpDN0oT88ZxwNAS2oXqsI/fm6iSJA2U7+2u2oazIzKZuZkzz0IdZ8bX20NPhEuTmmaegjo5laDdie3ddRGdSxCE0adsaSg7xXGkA1dzb7SXEzHqeB3T7ruM5IUlBHxBXvzOLjY+WxMTgZfRTK1Vcu1fZ5FZlkBPd5Bbr+2mpTkQ7WWNSdnZSiQJvK4Azu6RuaY7kWNlSXtEwHBEWfc04be7iUvSkDdz+FV2wqXzaP/C4lKRXTiSnnjYwcMPhJ77c75XxilX5UV5RYIgCMJYJe4sC8IIUBpCmSyBSGcYGkKlNf0jlGEIkLpkIgC7XmsgGBj+zZimvb08ec16Wg5Y0ZvUlP3iQpJPLRr2uAB9uxtp++AASGC57XIUOu2gjpNlmZ5nXgO/H0PJREyzTx30nHIgQPvrL4IsYymZg6V41sku/3O171sNyCRbJmI2F4R17LGm4tDLyAEfGmMSesv4Ld1isIQyDPtdXbjdfdFdTJQ5N2yibt2/qV71DH53+N+flWotuadeDEDPxtV4uzrCPscxklJJ8rLQJgjbB+sJ2BwRm0sQhNEnLlEzUJa065PqKK8mshQaFWU/Po/MC6cD8N7vD/Lvb+2kvy82gi+jlc6o5sbH5pJcEEdrS5AbruimsV5kGoabRiuRkXmsLGlkrx0Hq/AUCwqVhKu5d0z2QY1Vx8qRTlqajlIVO7fuOmtC55hFohzpiJBlmT//3saf7gtldi7/v4nMv15c9wuCIAiREztnHYIwhqnMoQbl/s6eiM6jNCeE5nF4CLhGqI/h4gno4tV01jjY/97wShzWbO7kmds+wWX1ET8xg/LHbsYyLzzBQjkoU/PEWgCMZ8xDN2HwJ9nufYfxHK5DUqtIu+AKJGnwpVccFXvx9Xaj0sWRczRwEE5xqfkA9Nrr8XpFgOB4siwjy0EArEVa4qfORKnRkTPvwiH9H441ar0RY3rodVXfML4z0VJTJmPQJ+NzWqlb9++IZKCY86ZgypkEwSCdH74V9vGPZ5w0FW1mDrLXh+3DjRGdSxCE0Sen3AyAq2nsZhgeIykVFN+9hMI7FqFQSRz4sI2/XrSO6s1d0V7aqBaXpOWmJ04hKcdAU2OAay/r5shh0dMw3CzJods0zr7YeG51RjU55aHr2d6dol/6SJADQbo2Hi1Huix2ypEC2DpCm5Mzs8PbZkP4Xz6fzPfvtfL4Q6HNA8vuKeX0W8Nzf0QQBEEQvogIGArCCNAkJQOhkqQBR+R2iioMOhRxoSxDV6s1YvMcT2XUkX7ZXABWP3qYgC94UuMc/LiV5+/citcVIHFWHuV/uAxtSnzY1tnx8UHsh9tRGjSYL1w66ONkWabvtVApQfOc01CbzEM6tmfjagBSJi1AqR5cRuNQpJYtQJ+UScDrYvvOR/H7PWGfY7QJBv10dlawc/eTVLm3YS0KPe/m/KlMueJHmPOmRHmF0Zc5YzkALW3bcLtH5r0iFqlUOiaXXYWkVGFtrKDjQGQCqNlzzweFAuehA/TXRS6zR5Ikkk4Pvb/ZV24iEOEy2IIgjC7mjNA5orvdFuWVjAxJksi5fDbT/3othtwkHF0e/nH7FlY+WEnAf3Lnq0Lo5+j2Z08ltdhIR3uQ6y7vZt8ekb0ZTgmm0MY2ty02AoYAxaeGrmd7d4iA4UiwVbTg6+1Hl6AayA6PFc6e0Os9ySJuJ0aS0xnka7f08sYrLpRKuOgXU1l8R0m0lyUIgiCMA+ITXhBGgEKrRZVgAsDf1h3RuVTJof4GI3kzKPuSmajNenoanPzznq10NwwtKLrr9UZevHc7AV+Q5IUlTPnVRSj1mrCtL+D2UfPUegDiz1mC0jT4QKRrZwXe2iYkrYbEhUuGNG/Q40apNyCp1aSWLRjSsYMlKZTknXY5WlMKbncvG7f+npraj8ZdtqEsB+ntq+VQ5Wts2PT/2HfgeazWOjr2r0MOhm4KSpICldYQ5ZXGBmNGEcb0QgyWbPx+V7SXE1Xx8ZmUFIZKeTZvewdnZ0PY59CZ00ifegYpZ12ALjuy/UaME6egSctAdnuwf7ghonMJgjC6mDNDn4GecRIwPCa+NI2Zj1xH+tlTkWVY8/gRnr51C9a28f35NxzxKTpu+8epZE0x0dcrc9PVPWzbIjathYvJFLpN44qlgOH8UMCwb1cDckAE3COtc0Mou3DiojRU6ti6befoDr3WLRaRYRgpnR0Brr+8mw1rPej1Etf8dTazL82N9rIEQRCEcSK2zjwEYQxTW0LN4n3tkS2FpEoJlYtxt41c1pBSr6H4riUo1QqObOzkkYvXsPqRSnyewJce5+j2sOqhQ7z+k93IQUhfMYWyH5+HQhPefgiN/9mOt8uB0mImYfngA3dyMDiQXZh4yumo4oxDmlep05N941eZetkPUemGduxQxKXkUrTkRrSmFAJeF3X1q9m45Q80Nm2K2JyxpK5+DZs2/5Fdu5+kpXUbfr8LtSGBtKmLmXD+PUgK8VH33yRJomjZLUw4/x4C5ZENYI0GWZmnkJI8GTkYoGb1c/g94b+JnDX7HBIXLEahimy/F0mhwLI4lEFq+2gjAafIMhQEIcSceTTDsMMekRLMsUypUzPhW8uZ9MNz0BiU1O/o4eHL1nNoTXu0lzZqGcwabnlqHgVzknA6ZG67roe1q0auj/pYFp8QewHDrMlmdAkq/A4P9sPidRNJsizTtaEKgMlnxlY5Uvg0w9CSIq6xIqG6yseVF3VTsd9PkkXBjU/PZ8KitGgvSxAEQRhHxCe8IIwQjSW0K9PfFuGA4bEMwxEqSXpM6hkTmfnkTSTOysPvDbLm0cM8cvEaqtZ/9oLS5wlw4IMWXrh7K/cv/Yi1j4cuhrIvm0Xpt5YjKcP7tuTpctD44lYAEq84G0mjHvSx/dv24WtqQ9LrSFyw+KTXoDYknPSxg6VPymDyJd+lcMmNGJKzkQM+AnnJA+U4+/u7sNub8XhsA339Ylkg4MPjsdPf343d3kxn5wEaGtdTefgNdu/9Bz5fKAhiLdJiVffh8fShUOuwlMyh5Ow7mHrlT8ieez6aOFOUv5PYpdLqx3Uvx+NJksTECZeg0yXitfdgbayIyDzx9aEb9HIgQNDvj8gcEOplqElNR3Z5sItehoIgHGVK1wEQdPvw28ZnYCd1ySSmP3ojxpJU+vt8PH/3dt77QwX+kyypP95p41Tc8OhcJixKxeOBu27r5Z03RebmcMViSVKFUqJw7rGypHXRXcwY5zjcjqfdhlqvpHh+SrSX8xk+dwCPM3QOaxElScNu+xYv11zSTUtTAEteHDc+dzrZU83RXpYgCIIwzkR2m7sgCAPUllRgBDIMk0c+w/AYQ3YiU393KV3rDnPkkTX0NDp4/s6tTFqWzqxLcjm4qo0DH7Tgtn96ozx+YjqZF0wn7cyyiAQvav++gaDbj7Y4F8PcaYM+Tg4E6HttJQBJpy5GqR9aKUvHoQPosnJI7AlfH8YTkRQKEgumYc6fiqOtBmN6ARAKqtVv2ERX5eZjj0SjMaLRxKPVGFEqNUyccAkqVehGYkfnfmy2JhQKJcFgAFkOEAwGCMp+5GCA0pLzBx7b3LKFrq5DgIwsy8jIcCxrQZIom3gpWm0oaNfatpP29j0E5QBy0E/w6LjHvp5efgsGfahHR6VtPW17Vn7h99ppsRN3NJs2tWwhpuyJmHLKUKgGHxAWQvweFwet6yjUzRj4vxqP1Go9U8quoi/ZhylnUsTmkT+ppH7ba8RPm4Vl8ZkRmeNYlmHrS89i+3AjCctPG+hvKwjC+KXWKjFatDi6Pbg7bKhN4/N9QZ+VyIy/XE3Nk+tofm0XG5+ppW5HD1fdP5PELFG6fKjUOiXXPDCLV360h73vtvDte/qwWYNcfX1ctJc2ag2UJLXHTsAQQmVJK1a20bujnrzrTo32csas9lWHAJi4KBW1LrbKfjp7Q9mFag3EJ4iNh+H0/tsuvvt/fXg9kFNu5rqH5hCXGL42LYIgCIIwWCJgKAgjRHO0JKl/xEqSRqc/jSRJpCyaQOKcAuqf3UTLazs5uLKNgyvbBh6jTYkn7cwy0pZNwpAbuSbu9qp22j88AEDi1ecNKSDp/GQ3/rZOFHoD5nmnD2neQL+T1v88ixwIMPni76Azpw7p+OGSJIn4jKLP/J1CpUalj8fvdoAs4/Xa8XrtHOt0mLniKpSaUDZia8sRuhu3fuH4KWecjyYu9Niejm66eyq/8LF92Qp0CUcf29NNT2/VFz7Wmh7Elxx6rHKPBpBQqDUo1VrUBhPaeAvaBAvaeAsaY+LAcQZLJgZL5heOK3y52jUvYGs6iDrHRXHR2dFeTlQlJOSQ4IVIbrfwu5x4uzro2fAxplmnoIqPTAaysWwamtR0vB1t2D7aiPmiZRGZRxCE0cWcqcfR7cHTbiO+ZPyWOFNoVBTftQTz9Bxq7n+P5v1WHrl8A5f+tpyJi8fv83KylGoFl/1uOvoENVv+Xc8vfmTD2hfkjruNoprBSThWkjSWMgwBik8NXc/aD7bg7/eiMohgRrjJgSCda0IBw/LzsqK8mv/l6DrWv1AhXtth9I+/OfjdL+0ATFqSxuX3zUCjj61gsSAIgjB+iIChIIyQYyVJfW1dyLIcsRNsVcrRkqRt1ojOc8J1GDQUfXUxacsnU/3Iapx1XSSdUkjamWWYp+UgKSK7LlmWqX50DchgmDcdbdHgm4TL/gDWNz4GIOm0JSh1uiHNbd25BdnnQ5+UidYUG2VkcuZdRM68i5CDAfxuJ75+W+iXy04w4EOh+vSCPyFrAkq1DjkYQFIokZRKFArVwNdKtXbgsUmFM44G6yQkSQGShCRJA72R1Mf1bkzML0dvTkdSKpEUKhTKo2MqlEhK1Weeq7SpZ5A2bYm4EB0BKRPnYWs6SGvbTgoLzkShEKcGpmoPHalO2vauImfeRSiU4XtOEgun03FgHc7OBrpXvU/ahVeEbezjHZ9laP9wQyjL0DC09zJBEMYec6aepn19uNujs7Es1iQvKMFYlErFr97GXtnG83dvZ+GtRSy7pxSlSpTbGwqFQuK8H01Gb1Kz5vEjPPAHB729Mt/7cTyKCJ/3jzWmoyVJY6mHIUBSjoHEbAO9Tf307Wkk+dSiEx8kDEnfnka83U70JjXFC2LjOvJ4zp5QwDBJlCMNi0BA5r5f2Xj26VC7jXnX5HPO98pQKMV7piAIghA94q6gIIwQdaIFJAnZ4yXQZ0eVGJmsEuXRkqSBfi9+mzvq5aaMhSmU/zEyN8S/TPfmGqx7m1BoVCRevmJIxzo27sDf2YPSGI/5lAVDOlaWZazbNgGQWnZazAW8JIUStSHhS/sqJhVOJ6lw+qDGM6blY0zLH9Rj41JyiEvJGdRjJYW4CB0pppxJqPTx+Fx2OrsqSEsdfOnesSoYDHD4vUfx2ntQ6eLImhW+zEtJksg+5QIq334I684tmOctRJuWEbbxj2csm4YmJQ1vZ3soy/DCpRGZRxCE0cOcETovFAHDT+nSTUx/4CpqHl9L8+u7WP9UNXXbu7n4l9NILRq50vJjgSRJLLtnAgazhnfvq+CZvznp6Q7w6/vMaHWxdU4cyxKOlSSNsYAhQMn8ZLa+1EDfjnoRMIyAjo8PAjBleQYqdexdDzl6QiVJLcki+224+vqCfP//+ljzcSgIu+Lbk1hwY0HM3T8QQmRZxtrmpnl/H80HrFhbXfg8QfyeAD53AL83iM8d+rMxWUvBHAuFcy3klJtRacTrRRCE0UUEDAVhhEgqFZrkVLyd7XjrmlAllkVkHoVGjTIxgUCvjf6mHkym2CtlMhKaX90JgHHZAlQW85COdawJleNMnL8YhUZ7gkd/VrDfia+3J3T8IINughBNkkJJysR5tO76iJraj0hJLhv3WYYKhZLSnLPYX/Ev2vasIqlgOvqk8AX1jGkFmPOn0le3j+7VH5B51U1hG/t4kkJB0qIzaXv5eewrN5GwYiEKrSgfJgjjmeFoPyS/0xPllcQWhVpJ8d1LME3NovpP79O4p4+HL13Poq8Uc/ptReJm3xDNv74AfYKa13+6h7dec9NQ182DTySSmiaex8E4VtggGJCju5DPUXTq0YDh7sZoL2XMCXr9dG44AsC0c2Oz3YLfEwRgiAV4hP+yd7eXb97ZR0tTAI0WLv71DKaeHZv/5+OVy+qjflcPzfutNB8IBQmdRwPmJ9JV56Ruew+rH61CpVWQOz2RgrkWCudYyClPFBmkgiDEvPF9R1AQRpg+twBvZzuew3UYZkQmYAigzkoPBQzrujFNHn8Bw/7GHvp2NYBCIn7pqUM61tfSgbe2CRQKEqbPHvLcPluo+5lKZ/xM6U5BiGVpUxbTeWgzLlc3TU2fkJu7MNpLirrU1Kkkt++mq/sg9Rv/w4Tz7g6V3Q2TzBln0Ve/H0fFXtytzegyIvNeHT+5nO6P38XX24Nz/Q7ilw3tPVEQhLFlIIE/BgMRsSBl0QTiJ2VQ9deP6dlcw6pHqtj/YSuX/rqcrCnmaC9vVJlxYTYJaTpe/dZW9uzycdl5XTz0ZCLTpouNKyfi6g+9PjX62Ltdkz8r1P7CWdeFt68fjdkQ5RWNHT3b6gg4PSSk6cibmRTt5Xwute5of013lBcySsmyzPP/6Of3v7bh84XK/F71p5lkTjJFe2kC0Nfq4tDqdipWtVG3vYeg/7PnSgqVhCEvGWNpOoacRBRaNUqtCoVWhUJz7JcydD9qdyN9uxvx9fVTs6Wbmi3dfAxklpm45i+zBio+CIIgxKLYOwMVhDFMn1eAdcdmPFV1EZ1HnZWKe/9hnHVdEZ0nVrW8vRcA/dQJQ88u3BTKTIwrnojKOPQyVP6jAUN1nDjpF0YPpUZH1uxzqF//IjWNq0hPn45GI8qwlZZcQI+tBmdHPV2HNpMyaX7YxtYnZZBYUE5vzW7s+3ZFLGAoKZUkzl9MxzuvYvtgPcYz5iIpRYaHIIxX0tFd7XIgGOWVxC5dagJTfnURnWsqOfLwajqOOHj82k0svLWIM75aLLINh6BoXjK3/GsRz9+9nY4aB9dd3s3Pf2vikstFkOnLDAQMDbH3sxaXpCV9QgJtlTZ6d9STtnRStJc0ZnSsOQTA1BUZMdv3U60N/Uy63WLTyVDZbUF+/F0rH7wbirZOPjOdi385DV28OsorG79kWaa9ys7BVe0cXNVGS8Vny7XrcxJJKMskvjSN+NJ04gqTUWpP/P9lLs8h87xyZFmmv6GHvt2hrGz7zlpaKqw8euUGrn5gFvkxujFAEARBBAwFYQTpsvMA8Na3IPsDSKrIXARqstMBcNZ1R2T8WBbw+Gj/8AAA8UvmDelYORjEuWkXAAkz5pzU/H5bHwAaETAURhlLyWy6Dn2CPikTSYq9G1TRoNOZKMo7k6ojb9O07R1MuZPD+trOnLkCw4I5GIonhm3Mz5MwYy7dqz/A39lD/7b9xM0rj+h8giDErmM3oeWgCBh+GUmSSD1jIokzc6l6aBWdqytZ+8QRDq1u59LflJNZJs7zBsuSG8cd/5zPyz/Yw6HV7fzwW1YO7vfx3R8noFbHZlAk2voHMgxj83ysZEFyKGC4vU4EDMMk4PLRt/loOdIYLk2p0oV+Jj0iYDgkBw/4+ObXeqmvC6BWw/JvlTHv2nzRrzBKnD0e9rzTwo5XG2mvsg/8vSRB/OQskucXYZlfjCE7cVjzSJJEXJ6FuDwLWRfOwN1mZf/P3sBZ3cnfb9nMuT+czNwr8ob77QiCIISdCBgKwghSJyWj0OoIetz4mtvR5EXmYkCdlQaAs3b8ZRh2rq7Eb3ejTE5EN7V0SMe6D9UQ6LGi0OmJKz25krHGiVNQJ1ow9oidgsLoIkkKSs+9C4VSRT9gqhb9rQCys+bR3r4bm72J9r2ryTn1orCNrTOlkE4K9gjfLFBoNJhPOY3u1R9ge28thlOmiRsUgjBODWQYBsXN3sFQmwyU/eg8OheWUvfgB7RX2Xnsmo0suq2YRXcUo1KHr1T1WKYzqrnmL7NY/WgVqx+t4rm/91N5yM8Dj5hJssRmUCyaBgKGhti8XVO8IIX1T9fQu6MeWZbFOUUYdG+uxucKkJRjIHNy7G5IUGtD73kej/gMGQxZlnnxhX5++wsbXg+YMvRcdf8McqYNLxAlDF3AH+TIpi52vtbIodXtBI6WG1VpFJhm5WOZX4xlXhGaxMhlwOvSTcx44Goq//g+nWsP8+Yv99N2yMY5P5gszicEQYgpsXkGKghjlKRQoM3MwVVbhaeuKeIBQ19f/7jqLSHLMo0vbwdC2YWSYmgnXc4NO0LHTp2BQn1yAT9VfAKq+ASM9eIiShh9FMrPnhaIm0ChQOrECRfT6D9EevnSiM0TcLkIetyozZG5gWA+5TR6Nq7CW9+C+8AR9FNKIjKPIAix7dMMQ3GeMhQpp5dimppN1V9X0rW+itWPVXHwaLZhxsSEaC9vVFAoJJbeVUrGxARe/+FOtn7i5bLzunnoyUTKpoiNdsc7VpJUHaMZhnkzElHrlXh7nDhrOjEWpUZ7SaNex+qj5UjPzozpc+9jGYaiJOmJOexBfvp9K+++FSpBOuH0VC79f+UYTKKP60jqa3Wx7aV6dr7RhL3j0w2x8aVppK+YQsoZE1HH60ZsPUq9mkk/Pg9j0Vbq/r6BrS810F7t4Oo/zcRo0Y7YOgRBEL6M2MIgCCNMl5UDgLe2KWJzKLQaVCmheuj946gsac/WWvrrulEaNMQvmjukY4NuD/3b9wOQUD47EssThFHD3dfB9iPP0dG5L9pLiQlGYwaTzGegUEXmhmZg3T5q//wrOt5+JSLjAygNcZhmnAKA7b11EZtHEITYdizDEFGSdMg0iQbKfno+k350LgazmrZKG49dtYF1T1UTDIib54NVtjSd2/65EEuugZbmANdc0sVbr7mivayYcizDUBuDPQwBVBolBbND15o92+uiu5gxwO9w07etFoBp58RuOVL4tIehKEn65Sr2+7j03C7efcuNSgUrvjWRax+aLYKFI0SWZRp29/Lvb+3kTytWs/bJauwdHlQJOrIumcmsJ25g5iPXkXnB9BENFh4jSRK515zC5F9djNaoon5HD49eueEz5VEFQRCiSQQMBWGEjUTAEI4rS1o3fsqSNr4Uyi6MO30eijj9kI7t374f2etDbUlBl3PydeT7tm3Cumsrfk//SY8hCNHWW7sHW9NBjlS/RyDgjfZyYoap2oMcDOJoqwnruDpzGkGvF+fhCtzNDWEd+3iJ8xeBJOE+UIW3oSVi8wiCELsGMgxFgOukHOttWP7krVhOLSLgl/nwz4d46uZP6GkS536DlVoUz1f/fRqlC1Nwu+E73+jjVz+14vWKn0s4PsMwdgtClSxIAaB3e32UVzL6dW04QsAXJK0knrTi+Ggv50updaFbiCLD8PPJssw/n3Vy5UVd1NcFMGXoueUf8znt5qKBz18hcgK+IHvebebxazbxxHWb2P9BK8GAjHlGLmU/PZ9TX/wqxXeegbEwJdpLBcAyr5Bpf70OfXYi1jY3/753Bz5PINrLEgRBEAFDQRhpAwHDpjZkry9i86izjwUMx0eGoe1QG9Y9jUhKBfHLFwz5eOfGnUAou3A4ZWC6Pnyb9tf+jc8ldocJX0wOBujvbqG3bh/WpkM42ms/E2SW5ehehKdNXYwmLhGPx0p9g8hGO8bv93DwzQeofPdR+nvCF3DTmVKwFM0EoHvVB2Eb97+pEy3ETy4HwPbe+ojNIwhC7BI9DMNDkxjH5F9eyIRvn4XGoKR+Zy8PXbKOrS/VExTP7aDoE9Rc99AcFt9RDMAL/+jnhiu7aW7yR3ll0dffH8oA1sRohiGE+hgC2Pc3EXBF7pp2PDi+HGmsUw1kGEZ5ITGory/IN7/Wxy9/bMPnhYmLU7nr5dPInS76FUaao9vDmseruH/Fav7z3d007etDpVGQvmIKs564gfI/XE7K6aUo1LH3nmrItTDjL1ejSYqjs9bJ2ieORHtJgiAIooehIIw0lSkRpTGegMOOp7YJ3YSCiMyjyU4HwFHdEZHxY03b+6HSiYZTylElDa1RfNDlwX0olDGUUD7rpNcgyzJyIHSTI+gdnVdRcjCA12nF6+jB6+jD7+kn4O3H73ER8Low5UwiqXAGAF6nlaoPnoCB+2KhLySFAqVajzl/CmlTFgEQDPjpOLAelS4OjTEx9CvO/D8988YyR3sd3Ue209/VhKu3deBn5ZjMa27FmDcZAO/K7TRtfYuE7AmYcsowZU9AqRla1uxwKFRqsk85n5pVz1LfuJbUlCkYjekjNn+sUqm0GBWJuORmmra8RenZd4Rt7IzpZ9JdvRNn1UE8bc1o07PCNvbxEhecgX3/bpxb92C+8mxUZtF7SxDGk4EtUVHemDIWSJJE+oopmMpzqPz9e1j3NfPmL/ez87UmLvjJFDLLhnY+Oh4plBLL7plA9lQzb/5wB7t3+LhoRRc//bWJ8y8aufOeWNPdFQoY6oyxe56cnB+HOVNPX4uLvn1NWOZG5pp2rPP29WPdHaouMXVFRpRXc2K6+NDPpMsl47AHMcaLHARZlnn/bTe//pmN7q4gKhWcee8k5l9fENP9KMeC9io7m56rZc/bzfi9ofdNdaKBzAumk3leOZpEQ5RXODhqk57iu5dQ8cu3WP9UNdMvyCY5Ly7ayxIEYRyL3TNQQRijJEnCUFCMfd8u3BVHIhcwLMgGwHGkg6DXj0Izdl/usizT/Uko4Bc3b/qQj/c2toIso0owoU5MOul1SJKEcXI59j076KjYSEHqyZc2jSRZlvE6enH1tODqacWQkoMpeyIA/T0tHHrjgS88NphiRJ0XyoTy9QZx97Z94WNV+ZkY8kIXSX67i+Ztb//vY/TxaIyJJBWUkzZ18afzBPyjOpgY9PuwNlYQl5qPJs6EPU/C1ttN16FPBh6j0OnQWFKRA36CHg9Kw6cXNP3xHvxuBz1HdtBzZAcoFMSnFWLKLcOUOxldQnLEvwdz/jRMuWVYGyo4fOQtZpTfJi56geLCFXR1H8TechhbUyUJ2RPCMq42IZnEvGn01u6md9Na0i+5Jizj/jddVg663ALcDbU4Vm/BfPGZEZlHEITY5HWFSl0p9aKPUrjoM0yU//EKmt/cTdM/1tO0r49Hr9rAvKvzWfb1CWjjRu/5zEiZuDiN1BcX85/v76JxTx/f+Xofaz5287Nfm0gwjb+AxIF9oYy9jImxG3SWJInCuRZ2vt6EdU+jCBiepK4NVQQDMlmTTVhyYz9AYDBpSMzW09vkYs8uHwtO10Z7SVHV2hLglz+2snqlB4CUQiOX/qac7Knm6C5sDAsGZY5s7GTjs7VUf/Jp+534ielkXTiDlEWlo/LeV/LCEhLn5NO7rY73fl/B9Q/PifaSBEEYx2L6XdRut/Phhx+yevVqdu7cSVVVFX19fej1ejIzM5k7dy7XXHMNZ511lriJKYwqhsKSgYAhEbpZq0q1oIiPI2h34jjSQUJZ7Jc4OVmOqg683Q4knQbdpKIhH++tbwYIS0ZP4qmnY9+zg5663WQ5z0UTF/0L/YDXTW/dXlw9LfR3t+DqaSHgdQ38u/mU01AsmBR6bIoF6W0lKnMSalMiyrg4FDo9Sp0ehV6PLvvTIKjSaCT7pq99djJJQg4ECHrcnw2+ShLx5bMJOOz4rb34rL3IPh9+lx2/y46muGAguBjod1J938/QmVLQJ6ajT8xAb8kiLjkbtSF2s6HkYABbSxU91bvoa9xH0OMh+czzSCpbAoA+r4DE085Al5mDNjMbdaLlCz+7EmbMRZOajvNwBY7KCnxdHdhbj2BvPULTljcpOvMWzLmTI/r9SJJEzryLsTUfpq+vls7O/aSmTo3onKOBXp9EduapNDZtoGnbW0zKLEFShOdmZtrURfTW7sa2bxfJy85FlRCZ94/EU06jtaEW++otmM4/A0kV06eDghCzRuO1irc/lN2u1KmjvJKxRVIqyL54Jimnl1Lz2Fo6Vh/ikxfqqPi4jQt+MoUJi9KivcSYl5Rj4LZnTmXtE0dY+3gV77zhZtd2H7+938S8+eMnKNHRHqC9LYhCARmTYve8F6DgaMCwb3djtJcyanWuPQzAlLNiP7vwmNzpSfQ2NbNzu3fcBgyDQZl/PdfP/b+z0++UUavhtNtKWHR7ESpN7JW9HAt8ngC732xm07M1dNY6AZAUYDmtlOxLZ5JQlhkz51onQ5Ikir+2mB27nqFybQeH13dQujA12ssSBGGcitk7RH/605/40Y9+hNv9v2X97HY7lZWVVFZW8txzz7Fw4UKef/55cnNzo7BSQRg6Q1EpAJ7qRoIuNwq9LuxzSJKEtjgX166DWCtaxnTAsPuTUJ13/eQSJPXQ39a8Da0AaDOGHzDUZeagzy3A1VBL56FNZM06e9hjDoWv34azox6FWktCVujnzJYZoP65Fz/7QKUSbUoa2vRM9HmFA3+t0Bso/sl9gwqAKNQaDIUlg1qXyhhPxqWfZkzJskyw34nP2off2ovK/Glw0dPRBnIQd1877r52emv3DPyb2mAivXwJqWWnDWreSJPlIM6OenpqdtNbsxu/2zHwbypzIgrtpxfR6kQLKcvPH9S4Co0GQ0ExhoJiUs66AG93J87KUPBQ9vtQLCjDrpCIr5cJ+n0oVJG58auNTyJ92hJad31Ic+s2ETA8Kj9vMS0dO3D1tNJTvQNLSXh2gMal5GJMK8TRUUt/bRUJ5bPDMu5/M5ZNQxmfQMBmw7l1H8b5MyIyjyCMZaP1WsXbfyzDUAQMI0FrMTLpR+eSdtZkqh5YibXNynN3bWfqigzO/f5kjMnj8+b6YClVCpbcWUrJghT+8/3dtDT2c9NVPVx3k4Fv/SABvX703gwerP17Q9mFyYVGtIaYvV0DQOFcCwCOqjb8Dg8qo/j5HgpvrxPrnlA50tEVMExkz9vN7NrujfZSouLIYR8/+Z6VXTtCr9WccjMX/WIaacXxUV7Z2OR2+Nj2UgMbn63F0RXK5NQaVaSsKCfrohno0qO/QTtcDLkWMi+aSdPLO3j3vgoK5yWjUo+/LHtBEKIvZs9ADx8+PHABnpWVxbJly5g1axapqam43W42b97M888/j8PhYP369SxevJjNmzeTmip2YAixT21OQp2UjK+nC3dlLYbpkyIyj7Y4D9eug9j2t8BlEZkiJhwrR6qfUXZSx/saWoDwBAwBzPMX4WqopevQJ2SUL4tYMAfAY+/B3lqFveUIjvY6vI4eAAzFE5Dmh0olqjBinFyOKsGMNj0TXUYmmuS0z80qkiQJRmBnniRJKOOMKOOMkJn9mX/T5xVS8K2f4G1vw9PRiqe9FU9LE96uDnz9VjzJSuxHsxHdrc20Pfd34lJziUvJw5iah96SNWLlTIN+H4c/eBzZF7pgVBriME6ZTsLUmehy8sKWeaaxpKCZv4jE+YuQZXlg96Q13Uvdw78nKWsqGTPORKUNf5+G9GlnoNIaSJ54KtQFwj7+aKRWG8jPXkR1zfs073iPxILpYXud55x6Me4CHepES1jG+zySUol5zgK6V72HfeUmETAUhJMwWq9VvK5QhqFCBAwjKml2PrOfvJG6ZzfR/Mp29r3fypFNXaz49iRmXpw9qrMgRkJOeSJ3vbyQ9/94kG3/aeD5f/Szfq2H/3e/mZmzx3Y53WMBw6wp5uguZBBM6XosuQa6G/qx7m/CMm/olV7Gs851VchByJ5qJjFrdPRaA8ibkQjA7l0+/H4ZlWp8vJ953DKPP+zgyUcc+HxgiJNY+n9lzLkiD4VifDwHI8nZ42HT83Vs+Xcdblvo3EWbYiT7stmkr5iCKm5sblDIu+5U2lcepKvOyeYX6jjtpsITHyQIghBmMRswlCSJ5cuX8+1vf5ulS5ei+K+brjfeeCPf//73Oeuss6isrKS2tpbvf//7PP3001FasSAMjaGoFGtPF+4DRyIXMCzJB8BW0fKZIMNY4u6w4TjSARLopw29l5js9+NtagdAF6aAoXHilFBJT3MiPpcdbfzJ90X8IrIsU/HaH/+3h6AkoUlNR5v62V2qmVfeGPY1RIokSahNiahNicSVfvraCHo8eNqaUSd92r/P3VSP19GD19FDb83u0PEKJQZLFnEpeSRPnIc+MX3Yawr4PLh72+ir34+rr5202249+i864qfORA74iZ86g7iiCUjKyJahOf51bK/Yi7+vl46+dXTVbCerfDkpk+YjKcK3BoVKQ+rkhQBYi1SYqj1hG3s0y846labmzajizGF9nRssmRhsYE8My3BfyDR7Ht3rPsRb04inugFtUfQznwRhNBmt1yqfZhiO7aBLLFDq1RTdsYjUMyZy+E8f4jjSwWs/3cvut5u56OdTR0W/smjSxqm48GdTmbQ0jdd/to/6WjfXXdbNzbfH8fVvxaPVjb3rGjguYDh5dGTN5M+x0N3QT9/uRhEwHKLOtZXA6MouBEgtjkdrVNHv8FNV6WfS5LG/AWXTeg+/+JGV+qObJycuTuW8H03BnKGP8srGnr5WFxv+XsOOVxvwuYMA6HMSyb1qLqlLJqFQj+2SryqjloJbT+Pw/R+y+tEqys/LJD45/BXJBEEQvkzMBgx/85vfkJT05Tff8vLyePHFF5k+fToAL774Ig899BAGw+jZnSWMX4bCEqzbNuE+UBWxOTT5WUgqBd4eJ+5WK/pMc8TmipZj2YXa4jyUCcYhH+9r7oBAAIVO/5mymMMhKRTkfe1elHoDXkBbL+OxdaGJ/+KedV/E73Zib6vG3noEr6PvuECVhCLJBNYOdFm5GApLMOQXoc3KRakbmyeUCq32M+VTARKmzUSTlIyrqR53Yz3upnoC/U6cnQ04OxvQzJ2C/1hvxHX76Krcgi4xDV1CMgqVFoVag0KlQanSoEtMR6kO7VS0tVRha6rE3deGq68dr73nM/OaO9vRpoT6EaVfdOUIfPefzzRjDipjPJ0fvIm3o43Gza/TfWQ7RctuiUj/TDkYoKvrIMnJkdnkMJoolWpmzbgDd1lKxDZjeHu6UJuTwpapejyVMZ6EKTOw7d6OfeUmETAUhCEardcqAz0MRYbhiIkvTWPmw9fS9PIOGp/bQO3Wbh68eB3L7i5l/g2FKJRjM/AVLqWnpXLPa6fzzu8OsPvNZp563MnaVR5+92czU6aNrZ9jWZYHAobZoyDDEEJlSXe80kjfHtHHcCjc7TZs+5oAmLx8+JsbR5JCKZEzzcyRTV3s3O4d0wHDzo4A9/3axtuvhyoKxKdqOff7k5l8ZvqY3IwdTX2tLtY9eYQdrzYS8MsAGEvTyL1qLskLipGU46c0Z/pZU2h9aw/2w+189EAll/y6PNpLEgRhnInZgOGJLsCPKS8vZ8KECVRWVtLf38+RI0eYNm1ahFcnCMNnKCgGScLX0oG/14YqMfxN7RUaNeq8bLzVDdgqWsZmwHBzNXDy5Ui9x8qRpoe3SbZS/+nNQGuGj9p//RW1Np70aUtIKpz+hRlgvn4bzq5G7C1HsLcewdXbCrI88O8Wuw1VfOhnJe2Cy1Aa4lBox2aAcDAUWh2GotKBvqCyLOPr7cHdVIe7uQlt2qc7dnvc9VgbK7A2VnzuWLl3/B+6rBwAuior6d23+jP/rowzos8tIH7KdNSmCKd/DUFcycTQBoSdW+ha+S79XU0ceuuvFC+/FUNS+HqXBgN+Dr3xAK7eVqaX30JSYnHYxh6tdDoTuhov1qLwl8Tpfv7fdFdtI+OKG4ifHJmLRPO8hdh2b8e5dR+JV56L0ix6rwjCYI3WaxWv62iGoU5kGI4kSakg58o5JC8s4fCfP6JvVwPv33+IfR+0csmvykkrEe+/X0afoOay305n8rJ0Xv/5Po5Uebnywi5uvj2Ou/4vfsz0Njx4wE9PdxCdDtInjI6fiWN9DJ1HOvDZ3ajjx+91yVC0vLUHWYaieckkZo6+De+5M5IGAobX3jj2sqWDQZmXXujn/vvs2G0yCgXMvSqfZV8vRWccuwHSaLC2uVj3t2q2v9JIwBfKKDSV55B7zVwSZ+aNy8CspJAounsJu7/+L3a+3sTcK/PInmqO9rIEQRhHYjZgOBQJCZ8GWlwuVxRXIgiDpzTEoc3IxtPSiLviCMYFMyMyj7Y4F291A9b9LaQtO7mgWqzy93vp2x3azXqyZV299cf6F2af4JEnz9PWjBzw4+5to27tP2nZ+X6obCQKPPZuMmeehUoXutBqrF9D76a1nzlek5KGvqAYQ0ExCu2ngYlI9jgbrSRJQpNkQZNkIWHarM/8W0L5TNTmRDwdbfj7egl6Pcg+H0Gfl6DX+5nn1lBYStDrRZuajiYlDU1qOqq4oWewjpRQT7r5GIom0PL8k3i7Omis/JAJp94UtjkUShXGjEJcva1UVb3NnNn3oAhj6dPRLOB10bZnFckTTkGbkHziAwZBbUgAWaZ345qIBQx1mTnocvJxN9ZhX7MF80XLIjKPIIx3sXSt4hEZhlGlzzQz7feX0fbePuqfWE3zfiuPXL6eRV8p5vTbilBpxOfql5m0JJ3cGUm89ev97P+glb895uT9d9z87DcJLFw8+gNVKz8IZTEVLkgbNT8L8Sk6kgvi6Kp1Yt3bRPICsaHsRIJeP23v7QPglKvzoryak5M3M7R5cssmL4GAjHIMZUrv2+Pl1z+1sWdXKNs3s8zEhT+dMir6io4mfa0u1j9dzfaXjwsUTssm/8b5mMtzory66DOVZZK2rIz2lRW8/f8O8JXn54temYIgjJhRHzD0er0cPnx44M95eaPzhEsYnwxFJaGA4f7DEQsY6krysX+wAduB5oiMH019uxuQfQFUqRZUGSknNYa3KdQDUJcRvkys/6bPLaDg3p/Qt3UjfZ+sw2vvoXnr2wP/rlswC31uKBil7kxFk5yKPq8Q/dEyo8cyCoXh0aZlok0b3P9zXPEE4oqH3hMz2jRJFnJu/zpdH71N8vLzsesk4uvlEx84SJkzV9BTvQtnfwfNzZvJyVkQtrFHs5b3X6Sjcx9eZx8Fi68Ny5ipkxbQvm817qZ6XI316HMic35jnreQtsY6HGu2YDrvDCTV6LhBKQijRaxdq3zaw1AEDKNFkiQyzplG0twCqv7yMd2fVLPqkSr2vNPCOd8rY8LpqdFeYkyLS9Rw1f0zOXheO2/9ej9NjW5uv6GXpcu1fO/HCeTmj85bHE5nkNdfCW0omLRkdJWoLJxjoavWSd+eRhEwHITOdYfxWV2Y0nVMWDQ6X+95M5PQm9R0dfp4+d8urrx29GVJ/rfKQz4e+pOdj94P9WuPM0osvnsSp1ydL0pHh1FXnYM1Txxh77stBI+WHjVNyyb/hvmYp4tA4fEKbltI78ZKmvb2ceCDVqaeHbl7VoIgCMcb9UWg//nPf2K1WgGYOXMm6emj6+RaGN+MpZMB6N99CNnvj8gc2uLQjSlnXRd+hzsic0SLs6YLCGVRnmypCtnjBUChj2wpFaXegGXRmRTc+xNSzrkYfX4RxinTSVq4FGXcp3ObZ59K/te/T9qFV5AwdYYIFgpDptQbSLvgCpQ6PQC2XGjftxa/2znssVVaA1mzzwGgumElHo9t2GOOBXm5pwPQU7MLj60rLGOqDQkkFswAwLptY1jG/Dzxk6aijDMS6LPj2nMoYvMIwngVa9cqLmsoY0KUDYw+bXI8k395IZN+dC7qRAPd9U6eu3Mb//zmDqxtomrOiUw6I41vvLmI+TcUoFTCxx96OHdZJ3+6z4bTGYz28obsvl/ZaWkKYMrQU3bm6LqnkTszVKLZdrA1yisZHVre3A3AnMtzUapG5y05lVrBwluKAPjNz60DvTdHo5pqP/fe3ctFZ3Xx0fseJAmmn5/FXW8s4dTrCkSwMEw6qu289L1d/OWCtex+s5mgX8ZUnsO0P15O+f1XiGDh59AmG8m4bA4AW1+qj/JqBGFsaW1t5ec//zmzZs3CYrFgMBgoKiripptuYt26dTE7Z1dXFy+88AK33347c+bMISkpCbVajdlsZurUqdxxxx1s3Dj8+0ejc/vdUZ2dnXzve98b+POPf/zjKK5GEIZOl5OHMj6BgN2Gu6Ia/bTwZzQpzfGo0iz427uxHmjBckph2OeIlv7GHgDUmcPYmXmsP+AIXQcoNBoS5y0kcd7CkZnwJAVc/Xja2/DbevHbrEd/9Q18HXA6OJa3NvDUHQ3aSioVqgQzqgTTwO9q09Hfk5JRJyWPy14E0WLd/gkdW9+k/cA6ipbeRFzK8C7GkiecQtfhrfR3NlBV/S5Tyq4K00pHr/j4LJKSSunpOUzb3tXknXZ5WMZNnTSfniPbse/fTcqKC1Eawr+xQVKpSJgxh94Nq7Gv3Yph1uSwzyEI41UsXqv094Y2SqkS9FFeiQChbMPUMyaSNLeA+uc/oeXVnVSsbOPIpk6W3l3KvGvyR21AYSRo41Sc890yZl+awzu/q6D6ky6eeNjJa/9xcec3jFx6pQGNJvbPOdeucvPSP/sBuPQ35WgNo+s2Tc40MwCOIx0EfQEUalGt4Is4qjuwVbSiUEnMunR0B0hOu7mQhl09HFrTwde/2ssr7ySTmDh63q8a6/08/BcHb77qInh0j8GUszJYcmcJqUWjo4foaNBWaWPNE0c48GHrwK0Xy6mF5F57KgkTR9fmiGhIXzGVhuc3U7uth57GfpJyRn82ryBE2xtvvMHNN99Mb2/vZ/6+pqaGmpoannnmGe644w4efvhhlMrwnNOEY857772XBx98EP/nJBxZrVasViv79+/niSee4OKLL+app54iMTHxpNY7us5Ej+P1ern00kvp6OgA4KKLLuLiiy8+4XEejwePxzPwZ5stlB0h+32A2GkrjCxJocA4aSrWrRtxbtsXkYAhgLY0PxQw3N88tgKGDd0AqDOGHzAczwEsv92Gu7UJT0sznrYmPK3N+Hp7Bn38fxe8lP1+vO42vB1tn/t4hU6HNiMHXWY2uqwctJnZqBMt4/r/IJL0ufmoLSn4ujs5/OFjTFhxJwZL1kmPJ0kK8uZfysE3H6CjYy+9mXNJNI+d95WTlZ+7iJ6ew3Qf2U7mzLNCPQiHyZCSi8GSTX93E9adW0k67YwwrPR/mWbNo3fDatz7DuPv7kNlMUdkHkEYT8J9rRIOAX8Ql+1ohqFJBAxjiSpOS9Edi0k7czJVf1mJ7UAL7/3+ILveaObCn04hp/zkLvbHi9SieG56Yi6H1nTw3u8r6Gzs5xc/svH0407uudfIuRfqY7bHWm9vkB9/J5SFPP+GAgrnjr4e5Uk5BvQmNS6rD0d1pwgCfImWt/YAMHlZOvHJo/v+k0Ihcelvp/PolRtoaeznu9/o47G/J8bsa+2Yw5U+nnrUyTtvujh2z3XiGWksvauEjImm6C5uDGk9ZGX1o1VUfNw+8HfJp5WQe+0pxJekRXFlo4suLQHzzDx6d9Sz841Glt09+tqmCEIsWb16NVdccQVeb2gT5bnnnssFF1xAXFwcO3fu5KmnnsJqtfL4448jSRKPPvpozMxZUVExECwsLi5m6dKllJeXk5ycjNVqZd26dbz44ot4vV5ee+01GhsbWb9+PTrd0M83RmXAMBgMcsstt7B+/XoAioqKePrppwd17P/7f/+PX/ziF//z9+1vvETm1TcjKUbPjihhbIifXI5160ZcOyuQbwxEpH+UriQf5/od2PaPnT6GclAOS4ahPJBhOH5e+0Gfl/6aKhyH9uM8fJCA/fNvRiotZlQpSagSE1AmmlAmmT79OsEICsWnGZrHj+/2EOi1Eei14u+xEui1EugJfe1r6yLoduOqrcJVWzVwjEKnR59fRHzZVOJKyyKSSTVeadMyyb3j/2h5/klcDbUc/ugJJq64E5355C/UDMnZJE+Yh8faiVoldjkCmEz5mBJysdoa6Diwnqw55w57TEmSSJk0n/oNL2HftzNiAUONJQV9QTGu2iM41m3DfPGZEZlHEMaLSFyrhMOxcqRIoiRprDIWpjD9z1fR9sF+Gv+2mrZKG09ct4nZl+Wy/JsT0ZtE78kvIkkSk85Io2RBMttfbmTN40dobPDw3W9aefIRJ9/4TjxLl2tjaoOaLMv84odWOjuDpBQaOfPro/NGsCRJZE81U7WhE/uhVhEw/AJ+p4fujw8AMPfK6PazDRd9gpqr/zyLp65bz/o1Hh75i4N77o297DxZltmx1ceTjzpYu+rTTTklC1JYencp2VPN0VvcGNNeZWfVI4c58FFo87AkQfLppeReOw9jYUqUVzc6pa+YQu+Oena93sSSr5WKMrmCcJI8Hg+33HLLQODuwQcf5O677x7492uvvZY77riDRYsW0dbWxmOPPcbll1/OkiVLYmJOpVLJFVdcwTe/+U1OPfXU//n32267jW9961ssX76cjo4Otm/fzu9//3t++tOfDnndoy5gKMsyX/3qV3nhhRcAyM3NZeXKlYNOsfzBD37AvffeO/Bnm81GTk4OzsoDdLzzKqnnXRpTFxHC2KfPKwz1j3I6cFfWoJ9cEvY5tKX5ANgOtRH0+lFoRt1L/394Ou0E3X5QKlGlJp38QAMBw7H9ug84HTgOH8R5aD/O6kPI3uP6TEgS6owUNHmZaHIzUR/9XWkcRiAo6/ODUbI/gK+5HU9dM966Jrx1zXgbWwm6XaG1HdoPSgWGvGKMZVMxTpoq+jiGgVKnI/O622j6x6N4Wpo4/N7jTDjvLrTxJ7+LPWfeRUgKJQFJgmrPiQ8Y4yRJIjd3Efv2P0fHwU2kly9BqRl+Bk9S0QxkWUazeGYYVvnFTLNPDQUM12/HdMESpDCV3hCE8SZS1yrh0N93tBypUYekHD8bpUYbSSGRcfZULKcWUfPkOto/OMC2/zRQ8XEb53yvjGnnZIrr1S+h0iiZd00+My/K5pN/1rHl6cNUHfZz9+29TC1X8/Vvx3Pa6ZqYeA7fedPN+++4Uangsv83HbVu9H72HgsY2g61ksWMaC8nJrWvrMDrCpBaZCR/9jCuX2NMxsQEzv1JOa/8aA8PP+Bg2nQ1i5bExqaUYFBm9UoPTz7qYPeO0PWvJEHZmeksvLlIBArDqLPGwapHDrP/g1DpUUmC5MUTyLvuVOLyRl/mdCxJXlCMKl6Htc1N9eYuShaIwKsgnIynn36auro6AM4///zPBO6OKS0t5eGHH+bSSy8FQi0lNm3aFBNzPvfccyQlffn5Q3l5OU888QQXXXTRwPxjPmAoyzJ33nknTz75JADZ2dmsWrWK/Pz8QY+h1WrRarWf+2/WbZtQGeOxnHFWOJYrCIMSKks6Bev2zfRv2x+RgKEqLRlFgpGgzYG9qh3T5JMvRxgr+uuPliNNswzvxvaxkqThWFSMCfQ7sVfsxb53J676ms9kAyqTTBhmlKGfMQltST4KrWZE1iSplKHAZF4mLAo18Jb9fryNbbj2HKJ/x358jW301xymv+YwHe+8ii47j4TyWcRPm4XyJFLphRClTk/29V+h8emH8Xa2c/i9x5l8yXdQqE4uW0GhjI1TiMamTbS0bKWw4ExSUqLbfy/ZMgGjMQNtZg7BgJ9w3PZTqDSkTJyHXRvZdynjpKkoDHEEeqy49h3GMH1SROcThLEo0tcqw9Xfd7QcqehfOCpozAYmfmcF6ctDZUqdDT3853u72fl6Exf8ZAqWXFGN4ctoDCoW3VbM3Cvy2PCPGrY9X82+PT5uv76HSZNV3PpVIyvO1aFSRecqoL0twC9/FCpFevodpWRNHt2lEI/1MbQf/PyWBOOdLMsD5UjnXJEbEwHrcJpxYTaNe3vZ+mID3/l6H6+8k0xOXvSuFax9Qd54xcW/X3BScyQAgFoD5RfmctpNhSTniffPcOmqd7L60Sr2vtuMfLQXZPLppeRffypxBcnRXdwYodCoSF0ykZY3drPztUYRMBSEk/Tvf/974OvjN2j+t4suuoj8/Hzq6ur45JNPqK+vJy/v5CoDhHPOEwULjznvvPOIi4vD6XRSX1+PzWYjIWFoiRijZmupLMvcddddPPbYYwBkZWWxevVqioqKwjJ+4pXnANC9+gP6tp185FgQToaxrByA/h37kY913A4jSZLQlYTeaKz7xkZZ0v6G4ZcjBSA4tjIMg14v9n27aP7nU1T/4ed0vPkfXHXVIMuoczIwXbiU9J/fQ9b93yfp+gvRTykdsWDhF5FUKrQF2ZgvWkbmr75J5n3fxnzF2WiKckGWcTfW0fH2K9Tc/3Pa3ngRd3NjVNc7minjjGTf9DXUlhQSlyw96WDh8fxuB/s736O5ZWsYVjg0gYCPxqaNOPs72HfgBaqOvEswGBjxdRwjSQpmz7yT/IVXotaHvxyTLMsEP6fBdTgoVCpM00NBfMeakf+/FITRLtLXKuHQ3xvKMFSbxOab0cRcnsOsx28g/+YFqDQKqj/p4sGL17HmiSP4feG/bhhr9Alqzvz6BL7+7lLmX1+AXi9x8ICfb9/Tx1mLOnnu7076+0f2eZRlmR9+uw+bTSZriolFt8XO+8TJOpap5WruxWdzRXcxMci6r5n+um7UeiUzLsiO9nIi4pzvlZE9zYzNJvP1r/bidv9v64pIkmWZndu8fO+bfZw+p53f/sJGzZEAxniJ028t4t4Pl3LRz6aKYGGY2NrdvP7zvfz1grXseTsULLQsKGbW49cz+afni2BhmKWvmAJAxcft9Fu9UV6NIIw+drudDRs2ABAfH8/ChQu/8LEKhYIVK1YM/Pm9994bNXNCqHSpwfBpxTiXa+jnZbGRHnACxy7AjzV9zMzMZPXq1RQXF4dtDuPiuQRdbqxvrqLj7VdQGuKIn1wetvEF4csYCopR6A0E7U48lbXoJoX/olFbmk//jgNYx0gfw/6GoxmGGcMLGMpjoCSpLMv011Rh270dR+VeZPenJ5DqnAziTp1O3JypqFJGR+kbdVoypnMWYTpnEf5eK/1b9+FYuxVfSwe2HVuw7diCNjMb0+xTSZg6E0WEMjHGKlV8Anl3fQeFSoUdiK8f3sV8b+1eOg6sp1cdR1pqOSrVyP1/KJVq5sy6m82b/oBPdtPYtAGbrYHJZVej00Vnp75CocRU7cFaFN7nIbj+AA1738VYWkbymcPvj/h5TLPn0btpDa49h/D3WFElje5sB0EYKSNxrRIOzr5jAUORYTjaKNRK8q6dR+riCRz+y0r6djaw8q+V7H2nmQt+NpX8maPjHC+ajMlazvleGYvvKGbLv+v55IU6mhu9/OZnNh76s51rb4zj6usNpKRGvizo00842bjOi1YLl/12Okr1qNnH/YUMZg2WXAPdDf3YD7WRNLcg2kuKKS1v7Qag/NxMdPFjsxepSqPkqvtn8tSVazh4wM/NV3fz01+bmDQ5st+vtS/Im6+5eOmFfqoOf7qxLr00njlX5FJ+XhY649h8zqPBZfWx7qkjfPJCHX5PaLNF0twC8m9aQHzp57clEYYvviQNY1EKjupO9r7bwryr86O9JEEYVSoqKggeTdCZMWMGyhNUqpszZ87ARtB9+/aNmjkB2tvb6ezsBMBgMJCSMvSs5JgPGP73BXhGRgarV6+mpCT8ZRtNF59JwObAsWYrra88j1JvwFAY/nkE4b9JSiXGiVOw7dpK//b9kQkYluQDYDvQghyUkRSjN0AG4AxXhuEoDxh6Otpoe+1feI7LulOlJGGYV07cvOlovqCX4GihSjSRcNZpxC9fgOdwLfbVW+nfvg9PSxMdb/6Hzo/exHL6WSTOWyh6rg2BQvXpx3+vxYH19XfIOeVClJqhZ50kTziF9v1r8di6aGhcT2HBsnAu9YTijnSxNPVm2t217HOswWprYNuOB5lRfitGY8aIruV4/T0tdB/eRvYp5yNJw78RGAz68ba3YnXYsZxxFpIq/KdwmuRU9PlFuOqqcazfhvnCkf2/FITRaCSvVYbrWA9DUZJ09NJnJTLtvsvoWHWI6kdX01Ht4G83fMLMi7I5696JxCWJTVQnYjBrOOOrJZx2UyE7X29i4zM19DT288hfHDz6VwczZ6tZslzHsrN05OWH77M2EJBZ87GHZ592smVT6LW47P/KSCk0hm2OaMueaqa7oR/boVYRMDyOt9dJz/rDAMy98uRKmo0W5gw9F/9xDv+6ayu7dvi49NwuFi/VcumVBk4/Q4taPfxrbrdbZvcOL59s9LB5k5f9e3wEjhYY0emgbEU2c67IJXuqecyVfo0ml9XHpudr+eSFWty2UGA2YXImhbctxDR1bGbNxpr0FVM48vBqdr7WKAKGgjBElZWVA18XFJz4HOX4xxx/bKzPCQxclwKsWLEChWLo96NiPmB49913D3yj6enprF69mtLS0ojMJUkSSTdcRMDuxLXjAM3/fpqcm+5Clyk+/ITIM06aGgoY7qog8drzkU7iBf1lNLmZSBo1frub/saeUd942tfXD4R68Q2HwhC6aea324a9ppEkB4P0blpL16r3wO9H0mqIWzAT4/wZaIrGXl8MSZLQTShEN6GQgP18HBt24FizFX97F10fvIlt9zbSzrsMfZ64OTEUsizT8q+/426sw9dvp3j5LUMObkkKJVmzz6Fm1bM0NG8gO+sUNJrwl+P8b8FgAJ/PgRT0oFZoSdMVEK9KYpf1Q+y+Lvbuf4F5c/8PhWLkA8nBoJ+qtx7B73eRkFWKKWf4/QDNuZNRGxLwOW04qw5inDQ1DCv9X6ZZp+Cqq8a5YSemC5aOufcSQQi3kbxWGS5nTyhIoRIZhqOaJEmkLZ1E0px8av+2ntZ397Hz9SYOrmrnzG9MYPZluSiU4r37RNQ6Jadclcecy3Op+LiNjc/U0Linjx3bfOzY5uMPv7FTXKJi6Vlali7XUTZFfVL9Dq19QV5+sZ9/PttPc2MoqqFUwsLbiznlmvwwf1fRlTExgT3vtNDf2BPtpcSUtvf3E/DLZE8zkzlp7FdvKJybzF1vnsEH9x9k3/utrPrIw6qPPFiSFVx4qZ6LLtNTWKQa1OvJ6QzS0hSgpTlAxX4fmzd52bXDi9fz2cell8Yz+/Jcpp+XNWYzOKOl3+pl4zO1bH6hDo8zFCiMy0+m4LbTSDqlUFwrjKDUJZOoeXwNLRU2uuqdoryuEPNsts/eZ41kr/YT6evrG/g6OfnEJZMtlk/vmR9/bKzPWVlZyX333QeErhl++MMfntQ4MR0wvOeee3jkkUeA0AX4mjVrmDBhQkTnlBQKUu64ivY//x3PwRqaXnic3JvvQZM8zCwmQTgBQ1EpkkZLoMeKt64ZbWFOWMeXVEo0Bdl4KmuxH2wd9QHDoC90wS2ph/c2psnPwlvTiKelCabOCMfSIs7b3Unba//G3VALgH7aBJJuvhRV4tCa2I5Wyvg4TGefTsJZp+HcsIPel97D295K41MPkjBzLilnnocybuzs1o4kSZJIPediGp96EFvTQVp3fUTmzLOGPI45fxqG5Bz6uxqpq19NackFEVjtZ1UcfImOzn1MNM4nPy5UQtygMjE38QJ29b1PwaTzoxIsBFAoVGSkz6KxaQMdFRvCEjCUFEqSimbSvm8Ntj3bIxYwNE6aiqTT4O/swVNVj640PyLzCMJYEI1rleFwdIXusGqSxA2msUCdoKf03uWkrZjCkb+sxFHdyZu/2s+OVxs5/8dTBnrKCV9OoZSYsjyDKcsz6Gt1cWh1OwdXtVO/vYsjVX6OVPl5/CEnag0UFKooLlFRWBz6vahERV6+Co9HxmYLYrPKWK1BbNbQ13t3+3jrNRcuV6iiid6kZvZlucy9MpfETMMJVjb6mI9+T5720bURM5LkoEzru6GyYnMuz43yakaOOUPPlX+cyRlfs7Pz9SZ2vdFEd5eXpx938vTjTgBMJolEi4KkJAVJFgWJSQq0Wom21lCAsLkpgLXv81snxKdqKZybTNE8CwVzLWPy9RRtboePT56vY8M/avA4Pg0U5l43j5SFJUjK0V9KebRRm/SYpufRu72OAx+2suj22Cp9L0ROQ0syCv3o6UEedLkByMn57H3tn/3sZ/z85z+PworA4XAMfK3Tnfi51Os/3WBpt9tHxZx9fX1ceOGFuN2h5/8b3/gGs2bNGvI4EMMBwx//+Mc89NBDQOiG5je+8Q0OHjzIwYMHv/S4mTNnkps7vBMxSaMm9es30H7fk3jrmml65nFybrsbtSlxWOMKwpdRqNUYSydh37+b/u37wx4wBNAW5eKprMV2sHWgafJoJR8LGKqGFxDQ5GUC4G5pGvaaIk0OBrFu20TnR28he31IOg2JV5+P8fTZ43Jnn6RQYDx9DvoZZfT95z0c67Zj27kVR+V+UpadR8KMuWHP1B2LdFk5pF1wOW2v/ovWXR9iSM7BnFs2pDEkSSJrzrlUvfcYza3byM5egEEf2U0JGk0oKOwJfraBs1qhZU7iBUgtEt6jm7hlORiWsqBDkZV1Co1NG7E1HcJt60KXcOIdZSdiKZ5N+741OCorCPQ7URrCf9NfodESP6kc265tODfuFAFDQfgC0bxWOVmO7qMBw0QRMBxLTGWZzHzkOlre3E3jM+tpPmDl8Ws2MufyXJZ9YwIGkybaSxw1zBl65l2Tz7xr8nFZfRze0MHBVe1UbejE4/Rz+FDo11Cll8Yz79p8ys/NQq0buyX0zZmhG12uFmuUVxI7enfW4261ootXMXVFZrSXM+JSi+JZ8a1JnPn1CRxe38GO15o4vL6DoF/GapWxWgPU1QS+dAxdvApzhp7kAiMFcywUnmIhOT9uXF7/jgSvK8CWf9Wx/ulq+vt8AMQVJJN3w3ySFxSP+tY2o13K6SX0bq9jvwgYCqNAY2MjCQmfJjacKLtw8eLFrF27Nixz/+tf/+Kqq64Ky1ijgdvt5pJLLhkoZTpv3ryBTMOTEbMBww0bNgx8LcsyP/jBDwZ13N///nduuummYc+v0OtIvfdm2n77GP62LpqfeZycW+8WWStCRBnLpoUChjv2Y758RdhPgrVFoSCk7WBrWMeNhqA3dLE+3D5e2vwsADytTciyHLMXHp6ONjrefgVXXTUA2kmFJN9yGaqUpCivLPqU8XFYbrmMuIVz6Hn2NXyNbbS/8RLWnVtJv+hKNCmju4/jSEiYPgdXUwPWrRupXf8Ck87/vyEHuBIyS0jImoCtuZK6ulWUTbo8QqsNOVb21PtfAUNg4HWsOdhId7aSioMvMXny1RjjRu5nwaC3YEkqpbunks6KjeTMu3DYY+qTMtAnZeLqacF+YA/mOfPDsNL/lTB9TihguHUvideej0IjSjsJwn+L9rXKyRjIMEwUmRhjjaRUkHXxTFIWTaD6ibV0rDzI1pca2P9RG2fdO5EZF2ajEDd5h0RvUlN+bhbl52YRDMr0tbjorLbTUe2gs8ZBR03o92OZNyqNAl2CGv1xv4wpWqafl0X+7KSYvcYIp9QiI5IUah3h7XWKzQlAy5u7AZh+fhYa/dgNFp+IUq1g0pJ0Ji1JJxiQcVm9OHu9OHuO/ur14Ozx4vMEMaXpMGfqMWfoMWfqRYnREeL3Btj2nwbWPlE9sMFIn51I/o3zSVk0QQQKY0TygmKO/GUlrQdtdDc4seSK91khdiUkJHwmYBhNRuOn8ZxjGXhfxuX69D5TfPzJtdwZqTm9Xi+XXnopq1evBqC8vJx3330XjebkNw3GbMAwFigTjKR95zbafvMo3q4Omp57kpybv4ZCO3rSgIXRJa5kEqhU+Nu78TW1o8lJD+v4mqLQjnZnXRf+fi8qw+jdcXysJCnDLEmqzkoDpZKg24WvtwdNUmyVag163HSv/pDeLesgEETSqDFfvoL4paeK7Ln/oivJI+Pn92BfuYm+1z7C3VhH/WP3k7z0XMzzForn6wRSV1yIp7UZd2MdNSv/wYTz70GpHlp9+aw556KNt5A640yI8L6ETzMM+7/0cdX7XsPp7WDnrseZNvVGzKa8yC7sONlZp9LdU0l31VYyZ60Y8vP5eSwls2na8ia23dsjFjDU5xWiMiXit/bi2n2QuLnTIjKPIAgjyy5Kko55mqQ4Jn3/HDLOnkrVXz+mv76b136yl52vhcqUppfGxk2b0UahkEjKNpCUbWDCok83H8myjMvqQ61TjunMwcHSGFQk5cbRXe/EUd1J0uzx/V7T/vFBujdVI0kw5/KRO/+MdQqlRFySlrgkLRRFezVCwB9k95vNrHrkMNa20A1tXXoCedefStqyMlF6NMaoTQYSynPo29nAgY/aOP1W8SISxo7LLruM6dOnh2Ws/24TYTabB77u6uo64fHd3d2fe+xQjMScXq+Xyy67jHfffReAqVOnsnLlShITh1clM2YDhmvWrIn2EgBQWcykfftW2n77GJ6WRpr/+XeyrrsNhVrschLCT6HVElc8AeehA/Rv3xf2gKHKnIDSYibQ3Yf9cBuJ00dvH4WBHobDzDCUVCo02el465vxtDbFTMBQlmXs+3bR+cGbBOyhPiD6mWUkXX2eyCr8EpJSScJZCzHMmUb306/g3n+YzvffwHFoP+mXXI3aHPvPnSzLuBvr8LS3hoKckiK0o1OhCJXVVChQJyahzcgO6251SaUi88obqX/sT/gVfvxux5ADXAZLFrkLLj36J0/Y1vZ5jgUMvScIGE43LWdn33v0+drYvecpppRdTXLy8HsKDkZSUjF6vQWXq5ue6p2kTDx1+GMWzqDPUU/C9NlhWOHnkxQKEspn0bNuJc6NO0XAUBA+R6xcqwyW3xfEZQ2VFhMZhmOfuTyHWY9fT/MrO2l6fiP1O3t55PINzL++gDPuLEFriNnbAKOKJEkYzKN3A2YkpE+Ip7veibO6k6TZ+dFeTtT0N/ZQ85cPAFh0RzFpJSeXnSAIkRIMylR81MbKhyrpqg31ldRYjORdN4/0FVNQqMUmiFiVcnppKGD4YasIGApjyt133x2xsY8PINbW1p7w8cc/5mR71Ed6Tq/Xy+WXX85bb70FwJQpU/j4449JTh5+OxxxpTAI6sxUUu+9mfbfP4mrtoq2l58n44obkJTiA1QIv/iyaaGA4Y4DmC8+M+zja4ty6e/uw1bROmoDhnIgCMFQA3QpDCeymvysUMCwpYn4yeXDHm+4/rv8qCrVQtJ1F6CfdnIfUuORKslE6rduxrFmK73/ehtXXTV1j/yB1BUXkzBjTkyWhfL2dGPfsx3bnu34erpP+Hi1JYWEaTOJnzYTjSUlLGtQJZjIvuErqMxJeHV6tPXySY9lLdJiPOxAqYzMBhuN+vN7GP7P4xQ65iSex+6+j+j01rNv/wtMmHARmRmRC7gdI0kKsjPnUde6Pmw/c2pDAhPm3YA9L7I/wwnTZ9OzbiWufYcJWO0oTeJGlyCMZs6j5cUkpQJVvD7KqxFGgkKlJOfKOaScMYHqR9bQtaGKDf+oYe97LZz7/TLKlqXH5PmQMLqlT0jgwIdtOGo6o72UqAl4fFT86m28/QEK5iSx5Gul0V6SIAyQZZkjm7r46C+HaKkIbUxWJejIveYUMs8vR6kVyRGxLnlBCUf+upLmA1Z6mvpJyhYbwQThRMrKylAoFASDQXbt2kUgEED5JXGdbdu2DXw9ZcqUmJvzWLDwzTffHJjr448/JiUlTPcGwzLKOKAtzCHl6zfQ8ae/4zi4j/a3/kPahVeKiywh7OImTAalAl9TG762LtTpw98ZcDxtUS79W/diP9gS1nFHUtD7aWP04WYYAmjyQg3o3S1Nwx5rOAL9TrrXfEjfto0D5UcTzluMacXpSKKH2JBJkkT8Gaegm1xM95Mv4amqp/31f+M4uI+0C69AZYx+ACTgcmE/sBv77u24Gj7dTSRpNegmFIBCAcEgclAGORgKlgcCeOtb8HV30r36A7pXf4AuK5f48lnET5k+7O9Lm5418LU9TyKu2otCNbSfP3dfB41b3kTVH2D6tJuGtZ4vcnwPwxP1H1VKamaYV3DAtpZm9yEOVb6K1+sgL3dRxD/HMzPnEn/6IiTF6NpkpElORZedh7upHufmPSScdVq0lyQIwjA4ur0AqM0G0YdonNGlJjD55xfQvaWGIw+uwtZm5V//t5PShSmc98MpJOWIG41C+GRMCJW9dVaP34Bh9SNrcNZ0Epek4Yrfz0ChFO+5Qmxo2N3Lhw8com57DwAag5KMS+eSfdksVHHDb50gjAxNogHTtBz6djdS8VErp90ssgwF4UTi4+NZsGAB69evx263s2HDBhYtWvS5jw0Gg3zwwQcDfz777LNjas7/DhZOmjSJVatWkZqaelLr/DwiYDgE+rJiUr52NZ0PvYBt51aUegPJy88XQUMhrJR6A4b8EvqrK+nfsR/TuYvDOr72aB9D28HWE95kj1VBn3/g67AEDPNDARJPa1PUnhPb7m10fPA6QWcoW0qUHw0fdaqFtB/cge399fS9+iHOygPUPXIfaedeHrWMUjkYpOujt+ndsgH8R3+eJQldWTFxC2ZimDUZhfaLS1wF3R76d1bg/GQX7v1VuJsbcDc30Pn+G8RPnUnq2ReiNAyvb4wsy/RtWU/t2tVMuuCbqA2D73skKZTYmitBDmKzNZKQkDOstXwejSaOtLTpaNRGZG8QiS8PyCkkBVMSFqNV6Knp30VfXy25OQuRpMgG8pRKNeZaP9ai8M7j7erAtns7cRMmo8+JTF+chOmzQwHDTTtFwFAQRjlHV6gvkSZJBIfGK8sphZin59Dwr600v7iVw+s7efDitSz+agkLbixEpRZ9qoThSz8aMHQ1dRP0+lFoxtctp/aPD9L6zl4kCS7/3XTiU3TRXpIg0FFt5+OHDnPgozYAVBoFaefPIPfquWjM4rxgNEpeWErf7kb2f9gmAoaCMEhXXXUV69evB+D+++//wuDd66+/PlAedN68eeTn58fMnD6fjyuuuOIzwcLVq1eTlpb2uY8/WeKqYIgMs6ZgufkSAHo3rqHz/TeQ5ZMv2SYIn8c4OdQvqn/bvrCPrcnLBKUSX58LT4c97OOPCPkL/3BSNNnpoFIS6HfiaR35LEP7vl20vfovgk4X6ux0Ur99K6lfv0EEC8NIUigwnbOIjJ/dgzo3g6Cjn9aXnsW6c0tU1tP10Tv0blwDfj/qrDTMV5xN1p++T9p3bsU4f8aXBgsBFDotxvkzSPvWLWQ/8EMSrz0fTUE2BIPY92yn7uE/4DxSOaw1yn4/1h1b8Dmt1G/8z5A+67QJFizFswCorVs1rHV8EYVCxeRJV1BSfA6KQQb9JEmiNH4e0xKWMmXyNShGMOtPDgawNh0i6PeGZTz7+6voWbcSWwR/huOnTAelEm99C97m9ojNIwhC5Nm7QiVJNYnD20wijG5KrZqCmxYw84kbMc/IxecO8tEDlTx08TqqNo7fjDAhfEzpOtQ6BUG/jKdzlF5rniTrviaO3P8+EOpbWDw/PGXBBOFk9TT28/IPd/Pgxes48FEbkgLSV0xh1j9upfhri0WwcBRLWViCJEHTvj76Wr+8RYcgCCG33HILubmhJJq33nqLhx9++H8eU1VVxV133TXw51/96ldfOF5+fj6SJCFJ0hf2tw/nnMeChW+88QbwaWZhuIOFIDIMT4rx9DnIPj89z71B3yfrkH1eUs+7DEkh4q9CeBgnTaXj7Vfw1jXja+9CnRa+sqSSWoU6IwVfUxvO2i50aYPPGooVqngdkkqB7A8SsDpQWczDGk/SqDHMmkL/lj10vPMaObfePWKv5/6aKlpf+ycA8UtPJfHa88V7SQRpctLJ+Ond9LzwJo7VW2h//UVkvx/z3AUjtoa+rRvp3bgaAMutlxF32qxhZbUqTfEknLmAhDMX4DnSQNffXsLf1kXzs49jmruAlOXnodAMvcSMQq0m47LrqH/sT1gbKuip3jkQBByM9OnL6D6yg+6eSqzWBkym2OmZmqkvhaoOvJPCn/n4Rape/gt2ezOFS24gsWD4ma1JhTPoPrwVx8F9pJ53aUT6KisNccQVTcB5uIL+rXvRRKCvriAII2MgYJgkAoYCGHKSmPb7y2j/qIKaJ9fRVefkmTu2UrYsnbO/O4nETHETWTg5kiQhB49+rRpd5diHo7+hm8qfvYrfG2TSkjTRt1CIKmubizWPH2HHa40E/aFNn5YFxRTctIC4gvC2vBGiQ5MUR3xZJrYDLVRt7GTOZbFzrS0IsUqn0/HUU09xzjnn4PP5uPvuu3n//fe54IILiIuLY+fOnfztb3/DarUCcPvtt7Ns2bKYmfPmm2/m9ddfB0Cr1fL1r3+dzZs3n3ANp512GsnJQ3vvFwHDkxS/9FQkjZrup1/Bun0zQZ+P9IuuisgNO2H8UcUZMRQU0199mP6t+zCdf0ZYx1dnpx0NGHZimVcY1rFHgqSQ0FiMeNptBHqtww4YAiReeQ6uPQdxN9Zh3bkF8+xTh7/QE/C0NdP84tPgD2CYPVUEC0eIpFKSdMNFSGoV9g830vH2K8h+P4nzP780QDg5DlfQ8c6rAJguORPjwtlhHV9bnEvGL75O38vvY/9oE9atG+k/Ukn6Jdegz80f+nhpGVgWL6f74/do2PoaCZklgy5NqktIxlIym+7DW6mt+5jp5TcPef7B8Hhs9LirSdcNvRSLx2Olr6+OtLTIl6ZNNBdhtzfTU7M7LAHD+IwiVLo4/P1O+uuqiSuKzI2p+KnTcR6uwLllL6aLlo3KMtaCIICjUwQMhc+SJIn05ZNJnl9M3bObaH1jFxUr26ja0MHptxdz2k2FqLXi2lYYGlmW8XtDEcPxUo7U3WZl3w9fxW3zkT3NzOX3ib6FQnQ4ezys/Vs1W/9dP/A6TJydT/5NC0iYmB7l1QnhljgzF9uBFmq3douAoSAM0rJly3jxxRe55ZZb6Ovr4+233+btt9/+n8fdfvvtPProozE154YNGwa+9ng8fO1rXxvU/KtXr2bx4sVDWrO4Mz0MxoWzSb7jKlAosO/ZQet/nkP2+098oCAMQvyU6QA4t+4J+9ia7NDJorOuO+xjjxRtshEAf68tLOOpkkyYj2bPdH38Nn5HZEvo+Pp6aHruSWSXB+2EApK/coUIFo4gSZJIvPo8Es4JBQk733+DnnUfR3ROd2sTrf95FmSZuIWzMJ2/JCLzKLQakq69gNTv3IoyyYSvp4vGpx6ka+W7J/UZlXTaErQZ2QRdLuo3vjyk0qQZ05eBpKCnt4o+a/2Q5z4Rn8/Fxk/uY7f1Q9wB55CO9QbdbPrkDxw4+CJutzXsa/tvaalTAbA2HiTgdQ97PEmhxJwXGtOxf/ewx/sicROmgEqFv60TX0NrxOYRBCGy7J1HexhaRMBQ+CyVUUvxnWcw87EbME3LxucO8vGDh3no4nUc3tAR7eUJo8yxIAWAQjM2A85yIIj1QDO1T29gx1efY8t1f8PdZsOSa+D6h2aj0Y/N71uIXW6Hj48fPsz9K1az6dla/N4gpmnZlP/5Sqb97lIRLByjzOWhIGHN1m7RKksQhuDiiy+moqKCn/zkJ0yfPh2z2YxOp6OgoIDrr7+eNWvW8MQTT6AMY1JYNOYcjvGx5SuC4uaVI2lUdD7yTxwVe2n519/JuOpGFOov7z8lCCdinDSV9rdfxtfYhq+lA3VmatjGVmeF6hs7a7vCNuZI01pCAcNAT/hu9Mcvm49j4058Da10ffgW6ZdcE7axj+d32Gl+9gkCdhvqrDRSvn49kkYdkbmELyZJEubLVyCpVVjf+Jiule8gB/wkLV4e9iwqn7WX5uf/huzxoptcjOXGSyKeqaWfXELmr75Jzwtv4ty0i551K3E11JJ17a0otLpBjyMplaRffBX1j/8Za8MBemt2kVQ0c1DHauMtJJfOpatyM83NmzGb8k722/lcarWehPgsbPYmOj315BjKBn2sRqHDrE6l19dGZ9cBcrLnh3Vt/81ozESvt+BydWNtrBj0c/hlEgvL6arcjD2SZUl1Ooylk3BU7MO5ZU+oD64gCKPOpyVJjVFeiRCr4gqSKb//CjpXH6L68XV0Nzh49qvbKFuWzjnfK8OcoY/2EoVRwO85LmCoHb23m+RAEL/Tg9/hwe/0EHB68XTa6dlWS8+2Ovz2Tzd/SRLkzkjkkl+XE5c09DYAgnCyfJ4AW1+sZ+2T1fT3hvqkG0vTKLj5NBJn54nKIGNcQlkGKo0CR5eHrlonKYXiHE8QBisjI4Nf/vKX/PKXvzzpMerq6kZ0zqHONxyj9wwuhhhmTib1GzfS+ddncVYdpPn5p8i65hYUWnGyKJw8pSGOuMIJOKsO4ty2F/OFw6ubfLxjGYb9Dd0E/QEUo7C/hOZohmEgTBmGEAqMWG68mLZfP4pt93YSps/BUFgStvEB7BV76XjrZQJOB8okE6nfugVlnOgTEy2SJGG++EwktYq+lz+ge/UHBH0+kpedE7aMz4DbTfPzf/s0QHzXdSPW00URpyf5K1ein1FG99Mv46qrpumZx8m6/iso9YO/8adNz8Sy6Ey6136EQ+8kaQhryJi+DIMlC0vpXKgLDP2bOAGLZWIoYOgdWsAQIE1bGAoYdu6PeMBQkiTSUqdRV7+anprdYQkYxqcXodIZ8fc76K89QlzxhDCs9HPmmTpzIGBovnyFuPkgCKOQ/VhJUpFhKHwJSZJIXTKJpHlF1D+3iZZXdw6UKV18RwkLbixANUazxoTw8HuPnuspJCRl7FVP8Ts8OI504Om04+3rx9vrxNfnOvp7f+iX3UPQ7fvScXQJKkrmp1C6MJWS01IwWsS9H2HkBPxBdr/ZzKpHDmNtCwWv9dmJFNxyGskLS8S5+jih0KgwlmXRt7uRmq3dImAoCELYiIBhmOinlpL6rVvoeOAfuGqraHrmUbKuux2lQVyUCycvfup0nFUH6d8S3oChMjkRSadFdntwNfaOysbXAyVJ+8JbSlBblIvxjFNwrNpM+9uvkHfnt1Gohv9WGXD10/Hua9j37AA4Gji6FlWSadhjC8NnOu8MJLWK3n+9Q++GVfi6O0m/5OohZeJ9HjkQoPXFZ/C2t6I0xZN6780oDMMb82TEzZmKKjmRjj8+hbupnqZ/PEL2DXegjBv8RUXSwqUYJ5ejTUmD+sGXPNEYE0mZdCwYF/6AYUryJGrrVtLlayYg+1BKg8/WTdMVcsixiT5rPR6PHa02PuzrO17q0YChrekQfo8LlXZ42RqSQok5fyo9dbvx2yNXVjWudBIKrZZAdx+eIw3oSsKbKSoIQmTJsjwQMNSKHobCIKgMGoruWEz68ilUPfgx1r1NfPSXSna90cR5P5xM8fyUaC9RiFE+97H+hcqoBy0CLi/2Ix04KtuxH27DfrgdV1PvkMZQ6xTo4tXojCr0Jg15s5KYcHoqOeVmlKrYC4gKY5ssyxxc1c5HDxyiszbUjkGbYiTvhvmkL58ck0F6IbLM03Po291I7bZuTrlKXKMJghAeImAYRrqJhaR95zY6/vR33E0NND79MNk3fhVVfEK0lyaMUnETp4BKia+lA29T20Bm4HBJkoQmJx1PVT2Oms7RGTBMCd3YD2eG4TGJl55F//b9+Lo66N2wGsviM4c1nvPwQdreeJGA3QaSRMI5izBftAxJLd6CY0nCWQtRGPR0P/MajoP7aHiyk8xrbkGTdHKvDzkQoPWVF+ivrkTSqEn5vxtRWczhXfQQaAuySfv+V2j/w1N4Wptp/PsjQ/qMkpTKULAQsOdJxA8haHhMX4EK/aEetNrwfS7GxaWj05pxe/ro9jaTqs0f9LF6ZTwmVSpWfwddXRVkZZ0StnV9HmNcGnGGVJz9HdiaK0kqnD7sMbNmn0PiFRcjhWFjwxdRqDXETZyKfc92+jfvFgFDQRhlXDYfAV/oJr5GBAyFIThWprTj44NUP76Wrjon//jKVqaclcE53ysjIXXkN0EJsc3vCW0OU0TpOsfb46Rj9SE6Vh3CUdWGHPzfx5gz9Vhy44izaDBatMQlhX43JmmIS9KiN6kHgoRKtQjACLGhbkcPH/zpII17+gBQJejIveYUsi6YjkIj7iuMV+byHABqt4X6GEZ7o4YgCGOD+FQJM21RLmk/uIOOPz6Ft6ONxqceJPvGr6JOtER7acIopNTpiSuehPPQfvq37A1bwBBAnZOBp6oeZ00nLJ0UtnFHSiRKkh6jiNOTdM15dD32b7rXfUT81OloLEPfSR30eOh4/3VsO7YAoEpPJvm2K9AW54Z7yUKYGBfORp2RSudDz+HtaKPhyT+TcekNQy71KPv9tP7nORwH94FSSfKd16LNz47QqgdPk5NB+ve/Qvvv/xb6jHr6YbJv+ipqU+KQxnE3N9L48ZuUzL8etX5wWXnOzgZq17yATopj5vSvhO1iRpIkkpMn0dT8CR2euiEFDCGUZWh1dNDRdSDiAUOAkpLz8RSY0SdlhGU8ldZAQjPYIxzDi586Hfue7Ti37SPxmvMi0i9REITIOJZdqIrXiZuKwpBJkkTasjIs84qoe2YjLW/sYv8HrVRt6GTZPaXMvSpPZFoJA/zeYxmGI/deE/T66Vx3mPaVB+nbWfeZIGFCmo6sySYyJ5vImmwia7KZuETNiK1NEIar7bCNj/5SSeXaDiCU9ZpxyRxyrpiDyihK4Y538RMzUOhUOHu8dBxxkFYS2Yo5giCMD+KKMQI02emk/fCrdPzhKXyd3TT87UGyb/gK2rTMaC9NGIXip0zHeWg/zq17MV1yZthusmtyQjernbVdYRlvpGktxwKGVuRgMGz95o4xnFKObv123AeO0Pn+m2Rde+uQx+j88K1QsFCSiF++APMly1FoR/4CVfb7CfTaCFjt+I/+HuizHf07B8hBUChCz6FSgaRQhvqOqJQok8yoUhJRpSShTklCmWQa84ECbXEu6T+7h84Hn8Nb00jzP/9G/l3fHVLQuPeTtaFgoUpFyt3XYZg+MYIrHhp1ZippP7yD9vuexNfdSeNTD5N909fQJA1uY4ssy7S/9R88LU00Sq9RuOSGwc1rMOF19uEJdNHbV01SYvFwvo3PSLaEAoadnoYh76xM1xZy2LEZl6ubYNCPQhHZU6OkxCKsEehzI8syAYc9YlUN4oomoDDEEbQ5cFfWoi8L3/+fIAiRNdC/UGQXCsOgMmopvmsJacsnU/WXj7EfauWd31Ww49VGzv3hZApmiw2yAtjaQ/3UFNrI32ry9vXT/PouWt/eg6/PNfD3OeVmys/LomxJOglpIgtWGJ26G5x8/NBh9r3XgiyDQimRdvY08q6fN3AvRBAUaiWmyVn07qinZmuXCBgKghAWImAYIepUSyho+Men8DW30/j3h8i6+jb0eYXRXpowyhgnTEbSqPG3d+Gtb0GbnxWWcdXpoTKLrpa+sIw30nRpCSi0KoIeP/6ObtTp4e2lIkkSSdddSMsP/4Sz8gCuxjr0OfmDPl4OBLDv3wVA8p3XEDdnaljX90UCdifexlZ89S14G1vxNrTia+2AwOfU4zkZSgUqSyKq9GT00yZgmDUZVeLY68OoSkwg/Qd3hEpMH6yma+W7ZF5546CPt+/bDUDSNefFVLDwGHWqhfQffpX23z+Jv72bpqcfIvvmOwcVFJUkibQLr6Dh8Qford2DramShOwTZ2Bq4kwkTziFzoqN1DesC2vA0GwuYNLEy0i2TEQ60j2kYw0qE2XxC0kuPyPiwcJjTNUerEXhCxq6+9qpfflJ5GCAwm//LCKlaCSlEuOkKdh2bKF/+34RMBSEUcTRFbqBLwKGQjjEl6Qx469X0/ruXpqeXkvbYTtP3bSZaedksuJbk0SAZhyTZZn1T1cDkDQ7sqUPbAdb2f/T1/H19gNgStcx65Icys/LwpIr3uuE0cvW4Wb1o1XseK2RoD/UAiL59FIKblmAITspyqsTYpFpaja9O+pp2NXLqdcWRHs5giCMASJgGEGqxATSfnAHnQ88g+dIPU3PPkbGFTdinDA52ksTRhGFVktcSRmOA3vo37E/bAFDVXKoBKG73YYclJEUo6vWuaRUEFeQjP1QG96G1rAHDAHUGSnEnTYL5/rtdH34NlnX345Cc+Kb/EGvh84P3iLocqGIj8MwKzKveVmW8bd34T5wBFfFEbw1jV9YolVSqVAaE1DFH//LhDI+HkmhRA4GIRgI/S7LyMEAss+Hz9qHr6cbX283/r4e5EAAf0c3/o5u3Hsr6X3+TbTFuRhmTcEwewqqlLFzESOpVSReez6tP/kLjgN7cDXUoc/NP+Fxvt5uPG3NIEkYZk+J/EJPkspiDpXQ/v3f8LV00PLPp8n9yjdRaE/8M67LyMZ8ymn0fbKOxi1vUpZ5bygz9QTSpiym8+An9PYewW5vIT4+PJn3CoWSjPSZR/80tIAhQK5hCl7VyN3g7O/vonbtWoJ+L0VLbxr2eJp4C0Gnk6Dfi6etGV1GZMrfxk+ahm3HFlw7DyBfd0HYM7sFQYgMkWEohJukkMg8r5yUhSXU/n0jbe/sZe+7LRxa3c4ZXyvh1OsLUIneb+NOw65e6nf2otIqyL0mcmXeO1YfouoP7+H3BkktMrLkzlImLU0TpXGFUc1l9bHu6Wo2v1CLzx3a7Js0t4D8mxcQX5IW5dUJsSxhSuiaun5Xb5RXIgjCWCEChhGmNBpI/c6tdD3yT1x7DtH6n2cp+OaPURlFmrgweMYJoYChe+9huPSssIypTDKBUoHsC+DtdqBNGX0/k8ai1FDAsL6FuLnTIjKH+cKlOD/Zhau+hroH7yPlrAswTi7/wgweV30Nba/9C19PKGhhOndxWG+qB6x23BXVuCqqcB84QqDH+j+PUSdZ0KZnoU3PDP2ekYkqwTzsrCM5GMRvt+Hr7cbd3IijYi/uxjo8RxrwHGmg98V30eRlYZhXTsLSU5E06mHNFws02ekDQePOD98i59a7T/g8Og7uB0Bbmo8yIbbLxajMCaR993Zaf/5XvJ3ttL/5EumXXTeonxXL4uXYdm/H3ddGV+UWUibNP+Ex2vgkkgrL6aneRUPjeiaXXRmObyMsNAcb8UzMprVtB2ZzAQZ95EqrSZKCniM7QJLwueyD7gP5RRRKFfGZJVgbDuCsrIhYwFBfWIJCqyPQZ8db04i2OMKNEwVBCAtHtwgYCpGhNhko/eaZZJwzjSMPfYytopUP/nSIna81ct6PplA0LznaSxRG0I7XGgFIXjwJbXL4ry1lWab++c3UP7MJgAmLUrni9zPQxonbWsLo5e3388kLdax/uhq33Q9AwuRMCm5biHlqZM7phbElYUIGCqWErd1NX6sLc4Y+2ksSBGGUE2dWI0Ch1ZByz/W0/eZRvLVN9KxbSeo5F0d7WcIoYigOlTT01jcT6LOjNA//AkxSKlElmfF39uBqtY7OgGFxKgDehpaIzaFKTiT1GzfS/cxr+Lt6aX3pWfQFxaSeewna1PSBxwW9Xro+fo++zetAllEmmbDcfCn6qaXDXkPA7qR/y14cm3birWn8rwUq0ecUYCgsQZ9XhDY9E6UuMplSkkKB2mRGbTJjyC8iacFi/DYrjoP7sFfsxVVXjbe+GW99M46127Dceim6kvyIrGUkmS85k/4te3A31OI4uI/4si8PTjsO7gOI6ezC4ynN8STfdS3tv3sC+75d6HLySZy38MTH6Q0kL1lBxzuv0rzjPRILZ6DSnvjiJG3qGfRU76K9cx+FruXo9Ynh+DYAaGreTLtrN2WquZjUQ886rt/2MjX9uzCbC5lRfguSFJmd6np9EvHxWdjtzfTV7RtUsPVETDlloYDh4Qosi5eHYZX/S6FSEVc6Cfu+XfTvOCAChoIwSogMQyHS4kvTmP7A1bR/dICaJ9fRWevk77dtYcpZGZz9nUmY0sXNy7HO2+9n/wetAKStCP85cNDrp/KPH9Cx6hAAC24s4KznpXZhAAEAAElEQVR7J6FQjq4qOYJwTMAXZPsrjax+rApHV+hzOq4gmYJbF5J0SkFEWgwIY5NSryauKBX74Xbqd/VgzghPVTJBEMYvUbNhhEgqJeajmWF92zfhs4pU8WiSAwHcLZ8NvAT6nQR93iit6MupjPFoM3MAcO2rDN+4qaHyke62/81SGw2MRaGAgK+hNaLz6KeWkvnbezFdtAxJrcJVe4T6R/5Ix3uvE3C7cDXUUf/o/fR9shZkmbiFs8n89f8NK1goe304t+2j4y/P0PTN39Dz/BsDwUJtRhaJC84g64Y7KP7+b8i5+U4si87EkF8YsWDhF1ElmDCfcho5N99J4Xd/Qer5l6GMT8Df1kn7bx+n57k3CLo8I7qmcFMlmkg4KxRA63jnVbxdHV/4WL/DjquhFgDDzNFTflpXkk/iFecA0PnBGwPfw4mYZp+KJiWNgKefrsrNgzrGYMkiPrMU5CAdnftOes2fp7e3GqutgXZPzUkdn60vQ6FQ09dXQ0vLtrCu7b+lpoT6mvbW7gnLeKacSQC4mxvxOx1hGfPzGI8GzPt3HECW5YjNIwhC+Ni7RMBQiDxJIZF+1hTm/uMWMi+cjqSA/R+08pfz17LuqWr8vjD10xZi0v6P2vD2B9BnmTFNCe/Nam+vkz3ffomOVYdQqCQu/PlUzv5OmQgWCqNSMCiz990W/nLBWt769X4cXR506SYm/uAcZj1+A5Z5hSJYKAxZwtH33QZRllQQhDAQGYYjSDe5GO2EAjyVtfSs/Yi0C66I9pLGDVmWcTfU0l9bjau+GldjHbLXS8G3foraZAag8/03cVZXYlm8HNOMuUiq2Hp5xJVMxNPSiGvfYYwLZ4dlTFXy0YBha19YxhtpcYUpoJAIWO1hy7z8IgqNGvNFyzAumEnPv9/BteMAfZ+sw7Z7O0G3K5RVaE7AcvMl6MsnnvQ83voW7Ks30791L8F+98DfazOySSifRfzUGajiE8LxLYWdKs6Iec584qdMp/ODt7Dt3IL940/o330Qy02XhCXbMloSzllE/479+Fo6aPj7g2Rf91V0n7Nzz1l5AGQZTX4WKot55Bc6DPHLF+CpbqB/615aXnyGvK9964TlsyWlktRzL8Fn7cVQPhsav/ThA7LmnEPQtwxjeiHUhG+jRkrKZDq7DtDurqXUOPTeOQZVAqVxczlk30ht3cdkZs6JWJZhaupUqmvex95Wja/fhtowvNe1Js6E3pKFq7uZ/qqDJEyfE6aVflZc8UQktQp/Rze+pjY0ORkRmUcQhPBxdIbOJzQWETAUIk9l1FFyz1Iyzp5K1YMfYzvQwod/PsTO1xs5X5QpHbN2Hi1HmrZ8cliDHc76bvb98FU87TZ0CSqu/vMsik4RP0PC6CPLMkc2dfHhA4doPWgDQG02kHfdPDLOnYZCfeJ+8ILwRUyTM2l+dacIGAqCEBYiw3AESZI0kGVo3bUVb09XlFc0Prga62n824M0PvUQ3aveo7/6MLLXi1JrQH2wk/h6mbhqD+7qGgJ2Gx1vvUzdg/dh27MdORg7O2HjSo5mj+w/jBwIhGVMVUooYOhqHZ0ZhkqdGkN2qJxhJMuSHk+VkkTqPdeT+u1bUWWkEHT1h7IKF8wk4zffPKlgoSzLuCqO0P7Hp2j92V9xrNlKsN+NKsFM4mlLyLv7u+R97V4S5y+K2WDh8ZR6A+kXXUnWjV9FZU4i0N1Hx/1P0/XkSwQc/dFe3klR6LWkff8raPIyCdqdNP7jYVwNdf/zOEfF0XKkoyi78BhJkrDcfCmqjBQCdhut/3luUO81hsKS0CaLIfTqjEvOIT6jKOy7Z5MtE5EkJc5ALw7/yV0s5eono5a0eH0O+qx1YV3f8fS6RBLic0CW6a3bG5Yxj2UZOg4fDMt4n0eh1WIoCr3P9W/fH7F5BEEIH/uxHoaJImAojBxjcSrTH7iKCd9dgdpsoOtomdIXv70TW7v7xAMIo0ZPYz9123uQJEg7syxs4/qsLvb94BU87TYseXF89Z8LRLBQGJWa9vXx9K1beOaOrbQetKGNU5F/03xOee5Wsi6aIYKFwrAlTA5tZm47bMPj9Ed5NYIgjHaxlUI1DuhK89FNLcW97zDdqz8k49Jror2kMc1xcD8t/3oaAEmtwZw9CWN6IfHpRegS0wYyRxQqDZMv/S5dlZtp3b0SX283ba/8k571q/j/7J11dB3Xub6fmcN8xMxgy8wUO4ljh5mp4aRpU8aUfm1vb++9vdA2bZo2aRtmapgdJ3HMDDLJYmY6jPP7YyQ5jgVH0hHZ86yVlZVoZu/v8Mx+9/t+8WsuwjQ9ujslR4I+PRPRYCTsduMrq0FfmD3qMdUJstjmnaKCIYA5LxF3dTv+6noMc6aN27yGWQWk/vt3cG3ZiyrWhmFmwbDHkEIh3DuL6X53A/6qOvl/CgKWmXOxLVyGISd/WCJMpIQ8brw1VXhqKjEVzsCQIfch8zU30vjqc0jhEPREDeoSk9GnZ6HPyEaXkoY4DOetKa+Q7G/+qKe34+e4Nu3Ge6iUxB/ehTYtKeqPa6xRWc0k3f9Vmv/4OL5jVdQ+/TCpN9yJKU92Toa8XlwVJQAYFk49wRBkYTTxW7fQ8G9/wVNRSuvH75Fw3iURn9+VEkB3tAu9NfLFnEDAgyiqUak0Iyn5BNRqPTExebS3l9Dkq8CsHn5/RFFQkajLps57lJaWYmLsuaOuayASE2fT7aiho3wfiTNWjnq8mKzZeHVezEWzo1DdwJiLZuM6Uox790HsV547pnMpKCiMjoA3hLdbXjjSKQ5DhXFGEASSz5tJ/Io8Kh7fRMNbeznwfgNHNzRzzn2FLL85G5VG2cM81dn9huwutC/IQp8Ync2NUijM4f96F1+zg7hMI/c+uwKjXRuVsRUUxovWKhfr/ny0r7+nSiOSfOk8Mm9aitZunODqFE4ldPFmdElWfE3d1OzvJH+5srlCQUFh5CiC4QRgv+o8Gg+U4Ni/i9hV56BLTJ7okk5ZjPmFqO2x2BLySF14IVqTbcBjRZWaxBkriStYTMuhTTQcXI+/uZH65x8j6fLrsC1cNo6Vn4wgipjyp+E4sAfP/iNREgyndg9DAFN+AnxyBH/V+DgMv4igVg8rHlYKhgg0thCobcRXVoN7VzGhdvm5F7QabPOXErPiLDQxcVGt09fciKeqXBYJa6sIfKkHX69gKAWD+BpqT/ibv7kRR/FeAGJWribhvEuHNbeo1ZF44RVYZs6j8bXnCbS10PS7v5Pyy2/0vf+mEqJRT+IP76LlwafxFh+j7tl/kHXv99ElpeAuOwrBEOrkeDSpiRNd6ojRpCYSd9c1tP71OTo2rkefnomlp2/dYHhqq2h44Uk0agNFl38/IrG7cf8nNOz9iILsC0hLG36EaH8kxM+UBUNvGXmmBSMaI0mfR533KM0tBynIv3TMNowkJsyitn031vRpSJI06nmM8enkxafjyBrbDS7maTNoEkUCNY0EmlrRJCk3pAoKkxVnj7tQ0KhQmXQTXI3C6UpvTGnyBbM49uePcRxu4P3/O8zu12u45GczyV2i/I5MVfzuILtfk+8fks+P3oa5utf20LGzEo1e5MY/LlTEQoUphaPFyycPH2PnqzWEgxKCAIlrZ5B9+xnokyZ/YpDC1MQ2M5Xmpm6q97QrgqGCgsKoUATDCUCXk45h4Uw8uw7S/umHpFx360SXdMrgb2uhc9tGEi64HEEUsdVrmHXZD1FpIl8gUWl0JM89h/jpy2k68Amtlbswz5w7hlVHjqlgOo4De/AeLIVrRj+eOtYOgL/dhRQKI6im3g5fc54szPhrGie4khMJOd34y2vw1zQQqG3EX9tIoL4FvhTxKBpNxCxdiX3JGahM5qjX4amppOYffz7p/+us8ZgSs4nVZmKpkt2ERn8c2vPvQRAEBEFFOBzE3VqLq6UKV3MV+vSsvvMDXR10bPqUuHMuRKXXD1mHITObzHu+Te2TD+NrqKP1kRdI+um9CKqpF78i6rQkfuc2mv777/hKq3GVHkWXlAKTKMJ4tJiWzMFXWoXjw000vv4cusRktPGDi6Da2HjCfh+e7k7ay/cQl79wyHkEUUU44KOmbnPU+gUmxBdRcuwNuoOtdAdasWqGf7MUp01DI+hRqbSEQn7U6rFZZNfr7ayY+2268qbWIr7KaMKQlYen4hievUfQnD96d6SCgsLY4GztiSONNU14WoaCgqUgifl/upHGD4qpffQTmkudPHbnNmadn8KFPyrClmyY6BIVhoEkSbzxbwfobvKijTMRd0Z+1MZu31EBwJpvTiN5miKwKEwNPF0BPn+sjC3PVhDwyveGsUtyyLl7FebchAmuTuFUxzozleb1R6g90DnRpSgoKExxFMFwgrBfsRbProM4Du4jtrlRcRlGAW99LTWP/QXJ70djjyUz7UyAYYmFX0StM5C26CJS5q1FbNLiyJJvippefxHL7PmY8scv/rIXY64cfeivrCPkdKMyjy7GQuw9X4Kg04fGNvVu0s158oV3sLmVsM+PqBv/3adSONznGvSVVuErqybY2H+PUlGnQ5uYgi4pBVNBEcb8aYia0UcxAoSDQVxHDxL2evocsfq0TDRxCeh1dsyJ2ZgSMjElZqLWnyxOqrR6bOkn9mDs/W9JkkCSEHrExSOfv4qr5BDOwwdIvPQazIVD9ytRGU2k3nAHlQ//L77Sarre+Bj7VeeN9mFPCIJGja4wB19pNcEuuVeeqbAIQash2NiKv7IOXU76BFc5OmKuuwh/TQO+w+U0vf4i6Xd+Y1DXoMpoInblalrXvUv97veJyZmLqBr8MiO+cAn1u9/H7W6hvaOUuNjCUdet1ZpJTJhNOBxACI9scVwlqFmTeAf+ooxR1zPehENB3OWV+FoaiVm6aszmMU+bIQuG+49gVQRDBYVJi7Ovf6ESfaYwORBEgZQLZxN/Rj6VT2yi4e19FH/QQMmGZlZ/vYDlt+SgVmJKpwTbX6xm3zv1iCqBop9fgkoXnXsaAE99JwBpswZOCFJQmCz4PSG2PlfJhkdL+2LArTNSyLlrFfa5U+9+QmFqYimU15XrDnZFJb1GQUHh9EURDCcIbUYKxkWzcO8spu2TD0i9/raJLmlKEw4EaHz1WSS/H1NSNknW6MWhiGpZgLJUSbSX7aZ7z3a692zHPHMuCRdchsY2/B5ZI0VttaFNSMLf0oTvSDnGRbNGNZ6gViEYdEgeH4Fuz5QUDLUxJjR2I4FON4G6JnS543dBLgWCtD35Gu6dB5C8/pP+rolLQJ+a3icQ6pJSUNtjon7hFnK7aN+wjq492wl7PKiMJqxzF2GtUwECsy/7EYI4OiefIAjwhbrT8s6isqEJf1cb9c/8E8vchSRecPmQLklNTCxJl1xH48tP0/XWJ+hn5qOfFt0ecWF/AH9FDaEuJ8YFMxHUY+Ni7HXoBnoEQ1GnxzxtFo4De3Bt3jPlBUNBrSL+7uuo/9kf8FRX0LVrK/bFKwY9x75sFR1bP8fvaKf16DYSZ5wx6PEqrZ74giU0H/qc2trNUREMAWYUXXvcrXi4JipjjiUhvwdPRyPmpJxRjxX0Oql94W8gCFjnLERlGBuRwFRYRMv7b+A9UkHY40M0TC2XpILC6YKzTb4+UQRDhcmGxmqg4NtrSbloDsce/Jjug/V88Icj7H6thkt+Pou8ZUqc2mSm9kAn7/73IQCy71qFfU70rnvDwRDepm4A4jKU3qsKk5dQIMzu12tZ/7cSHM3yBh1jdhw5d64kbnmeItgojCvmvAREtYCr3U9Xoxd7ytRb31NQUJgcKILhBGK7fC3uncU4D+7D11SPLil1okuasrStfx9/SxNqg4X8tXf0656KBraMIhJnnknz4Y04D+7DXV5C5le/izZu/OIljHmF+Fua8BwqHbVgCKAymwh6fAS6PDBFN7+Z8xLo2FWFv7phXAVDx2fbcW3cBcjOQX1aFvoM+R9DehYq49je4IaDQbq2baTts48Iez0AaIw24vIXYqoIgFYWykYrFvaHJTWfmVf9kLpd79N8cAOOfbtwlx4l8eKrMM+cO+jNkXX2fNylR+jes4PWR14k5TffGZVbNtTtxHesCt+xKrzHKglU1SIF5QgY45I5xH/thoj66Q0XVbwdgGBnR9//s8xdKAuG2/YRc8NFUzJy9Yuo4+zYrzmfjmffouWjtzBNm4HGah/weFGrI+6sc2l+51807P2I+MIliOrBd5snzFxJ86GNtLWX4HK3YDKO/vs0GtGm44Xf72Dv078DAebd8h8jdsX3ojXZ0dsS8XY1464ojaj/5IjmiU9EExtPoL0V76FjGBeO/vdIQUEh+vQ6DDV2ZdFdYXJizk9k3h9voGndIcr/voGWCheP3y3HlF7wwyJlwXMS4u708/z3dxMKhIlfmU/6tZH3dI8EX7MDwhJqrYg5QdmQpDD5CIclDn7YwLoHS2ircgGgS7KSfdsKktYUTclWLwpTH1GrxpidgLO0mbriTuX3U0FBYcQov2ITiDYjGePi2QC0ffLhBFczdfFUVdCx+VMAss64ZszEQgCV1kDGssspuvx7GOLSCHs81D//OGGfb8zm/DK9saTeg6VRGU+0yAtIgW5PVMabCEw9/QACNQ3jNmfYH6D77U8AiD//MvJ++h+k3/414tdciLlwxpiLhZ6qCqr+8t+0fPAmYa8HQ2wq+efdzezrf0Ha4otRaYfuKzhaRLWWjKWXMf2Sb6G3JxNyOWl46Sm69+wY8tzEi65CE5dAqL2L9sdflSNPh4m/qo76n/2B2m//lpYHn6b7/Q34y6qRgmG0cSYEtYh7+37aHn0FaQz6C6rj7AAEujr7/p8pbxoqk5lwtzNqn9Hh4K9rwldaRdh3suN1pFjWLEebl4nk9dH89tCvlW3hMtT2WIIeB61Htw45vt4ajy2jCIC6ui1RqbkXt6eNCtfeEb2/Djs2sX3ng7S2HolqTV9Gq7Wg09lAknC1VEVlTEua/DvhLiuJyngDYSqUXzfPvrF9jhQUFEaOEkmqMBUQRIHk82ay5Ik7SLtyPoIIxR808KfLPmPDo2UEA6dOn+ipjiRJvPLTvXQ1eDCk2Zn2wwui7qLyNHQCEJNuRBQVh5bC5KJ0cwsP37CJF3+4h7YqFxq7gbxvrGbJ43eQfN5MRSxUmFAs03piSYu7JrgSBQWFqYzySzbB2K5YC4KA89B+fI11E13OlCPs99H42nMgScQVLMaeNT4OB2NsKgXn3Y3aYMHf3EjTGy+OaEF6JBiy80AUCTa1EmztGPqEIeh1dgW6pq5g2NtA3D+OgqHz022EOh2obTHELF05Jg62wVAZjQQ6O9AYrWStuo6iy7+HLaNo3OsAMCVmUXTF90iZfx7ahCQss+YNeY6o05Fy7VdApcK96yDOz7YPe17n5j0E6psBOfol5eI5TL//QpY8dRfLXriXop9fAqKAa9Nu2p9+I+qfUXWcHEccdrsI++UFWUGl6nv8ri17ojrfYEjhMB0vvkvDz/9I42//Rs3Xf0X9Lx6g9Z8v071uM77SasL+wIjGFkSRuDuuApUK15GDOA/tH/x4tZrYVecA4OlojGiOxJlyr72Glr2EQiOr88sEgz627/gzR51baPVXD/t8b8iB09mA19cZlXoGw27LBMDVFB3B0JpaAIyHYCj3LvXsOzomoryCgsLoUQRDhamE2qwn/xvnsOBvt2CdlUbAE+LDPx7hL1dtoHRL//3BFcaXgx81UvJ5C2qdyIxfXYbaHH0HoLdeXuiOzVC+txQmD7UHOnns7q088dXt1B/qQmtUkXXrcpY8dTfpVy5A1CoBbgoTj6UwCZD7GCooKCiMFOUXbYLRpiVhXDxbdsF88iGpN94x0SVNKXwN9QSdTjQmOxnLLh/XuTVGK3lrbuPou3/FefQg/tZmdAlJYz6vSq9Hn5aJt6YS76FSzGcuHtV4Yq9gOJUdhnm9gmHjuDR3Dvv8dL/zGQCxZ61FUI/9V2nY58VdUYZ5utyfU5uQRP6aOzCn5A0rwlCSJIJeJ56ORrwdjXi7WkhfcmlfbKTf2YEgqlAbzMOKdRRValIXnE/y3DW4tMcjKKVQaMBYTn1qBvFrLqL1w7foeO5t9IU5aFITI54z1OkAIPeeM8m4/uTPQcKqAqbffyFHfvcuzk+2IWg1xNxwcdTeH6JRf7wHaFdn3+ffMmchnds24t51kLDXh6gf2yilsMtDyyMv4N1/FACNzUCgy0OgtpFAbWNfbC6igGX1Mvk50AzvPatNT8Z28Vl0vbme5nf+hTG3YNDeeNb5S9CnZaJPTYeqoYVaS2oBaYsvJjZ3PqqmwSNMI0Wt1pGWupSa2o0c7N7AyrgbUIuRj60R5NctGBz770abNYum5v04myqiMp4lJR9EkUB7K4GOdjQxsVEZ98sYsvMQtDpCXQ78VfVTvm+ngsKpiLO1J5I0RokkVZg6mPMSmffH62led5iyv39Ga4WLJ+6RY0ov/FERtmQlZm0iCPhCvP/7wwCkXbekb9NmtOl1GJ6KgqEkSXQ3eak/3E3j0W5sKQbmXZKGqFKclJOVlgon6x48ysEP5Y2QKrVA8mXzybxxqbIZR2HSYe4VDA91jsvamIKCwqmJIhhOAmyXr8G94wDOwweUXobDxJCVQ/Y3foSutBuVdvxvHM1JOWSvvB5pVuq4iIW9GHML8NZU4omGYNgbSTqFHYbGjFgEtYjk8RJq60QdHzOm8zk/2Uaoy4HaHott3uie/0jw1FbR+MozBDo7yLjzmyRKWfIfMmdEdH7bsZ24WqrwdDTh7Wwk6HX1/U1QqclYfmXff9dse4POygMIogqNyU5M9hwSZ5yB1hzZcyqq1FiqJBxZAm2ffoSnuoLUm+5EHEBUjVlxFu6yo7jLSmj9+4sk//IbEbskQ12yYKhLGDiGOGlNEWF/kJLff4jjg42IWi32q8+LaPxIUMfZCdQ2Eezs6PsO0Kdn9vV2c+8+hHnF/KjN92UCjS00P/AUwcYWRJ2aaT88n4Szp+FvdeIoacJxrAlnSROOkiYCnW4cH2/BV1lHwje/gjrGOqy5bJeeg2vHAYINLbR88BbJV1w/4LGiWi2LhREiCALJc2RXIk3Ri3jOyV5DS0sxXl8nx1zbKbKcEfG5GlGO9Q0ExkEwtMmfaWdzFZIUHnUPRpVWjykhE1dTJa6yo9gXLY9GmSchqtWY8qfhPLQfz97DimCooDAJcbbJEdXKoqbCVEMQBJLOnUHc8jwqn9pM/eu7Kf6ggZINzZz9tQJW3JqDWqMEJo0nW56ppLPOgzbOTMZ1S8Zsnj6HYfrU/97yuYMc+7yF+kNd1B/uouFIN672E1sH7Hipiit/M4fEPMsEVanQH91NXtb/rYTdr9USDkkIAiSunUH2bSvQJ9smujwFhX4x5cQjaFR4u4O017iJy1Q2jCkoKAwf5Qp7EqBNS8K4SI7SbP9s3QRXM/WI7Y7BlJg1YfPHFSwi3ndc5B2PaFJj3vE+hqONgVOZ5QuIYLd31HVNFKJGhTEzDhj7WNKwx0vXu7K7MG6M3YWSJNG+cT01/3yQQHsbWoMNY+Pw31/t5XtoObwZZ2NZj1goYNDHEh9XRE7mOdjL/djKfNjKfKi6/YCAFA7hd7TRdOATDrz4Wyo+fYZwMPKoSG1xG+2ff4y79AgNLz054PtUEEWSr7oJwaDHX1mHa+u+iOfodRhqYge/CE65cDb535TFqK631tPx6gdIwVDE8wxGbyxpoOt4PLAgCFjnLgTk6FpphFGgQ+E9VknTv/+FYGMLugQL8x64gcTV0xEEAV2Chfgz8sm5/Qxm/+dVLH/5a8z6jytRm3X4y6pp+NWf8R4bXvyloFETd8fVAHTv3oa7/FhE57Xbu4blnOvK00UtllSt1jGt8AoAqtwH6Ao0R36uOH4OQ5MpCZWoJRzw4u1oisqY1tSe34mayqiMNxCmabLr2b3n0JjOo6CgMDL6IkmH+K1UUJisqM068u9b3RdT6ldiSicEZ6uPz/4u9+fOuWslKkN0EiH641RxGIYCYf5xyxZe+MFuNjxaRunmVlztfkSVgCknnsTV09GZ1NTs6+Shazay7sGjfa5whYnD0xXggz8e4Q8XfcLOV2oIhyTiluey4JFbmX7/hYpYqDCpEdUqzHlyalNtcefEFqOgoDBlURyGkwTbpatx7ziA4+A+Ypsb0SUmT3RJk5r2jevRpaSTrC6Y6FL6sFRJNItVtH70Dqk33jFoXN9oMaRnIWi0hB0uAg0taNNG7m4UTbIzM+CYuoIhgCk7Dld5C4GGFhgjQ1fY56f5gScJdzvRxMRhHUN3oRQK0fzOv+jauQWAmJy5ZJ5xLWrd0E5ad1s9OmtcX1RpXtxK2oQETKYkzKYkjMYEVCptv+fOnXMb4XAIv9+Bw1FHZdWnOJx1tJftIa5waV9vtKHQWWLJX3sHx957BNeRgwS7OgeMRVRbrMSuWE3bx+/h+nxnxI68sMMJgDaCmLW0K+YT9gUp/8cGut/6BM/eIyT9+G5UltEtoKri7AAEuzpP+P+WuQtp++wjfCWV1P/8jyR+7/Zhxa1GQufL7xNy+bDOTGXmry8b9HkQBIG4pbks+OtXOPirN3BVtNL8P38n7q7rMC2bG/Gc+sJszKuX4vxkG83v/Ius+344YOQsgKushPpn/oHWHMvMq388pHPO191KzdY3ELo9LJh/T8R1DUZcXCFJiXNpat5HhWsv8+yROUzVgrwQFgyN/cKNKKqwWtPp6CzH2VyJITZl1GPGFy5Bs2w2uqTRjzUYpsIiEAQC1Q0EO7pQxyiLKAoKk4WgP4TPGQRAY5/aC+8KCifElD6ixJSON+/97yF8riCWwiSS1kaWcjJSAp3yZi1T7NjG+o81n/2jlMaj3QCkXDQbc2ES5vwkTDlxqHTydaa3uZtjD6yjfXsFnz5SyuePlTP7ghSW35xN2iz7BFZ/+uH3hNj6XCUbHi3F2y3/dlpnppJ79ypss5UUDYWpg2VaEo4jDdQf7GLuRWkTXY6CgsIURHEYThK0makYFs4ESaLtkw8mupxJjbehltaP3qHuyYfxtI+tm2w4SOEQzS8+h6eyjLpnHyXs9w990ggR1Gr06ZkA+IbpEjpprJ5eZmF/cNR1TSTaODmWsjemMtqE/QFaHngS39EKBIOOlOtuHVQoGd1cfupffEIWCwWBjGVXkLP6liHFQikcpmHfxxx58wHqdrzd5xqMicklP+9CUpIXYLGkDSgW9iKKKvR6OwkJM5k/727s2XPQxyRjTsoZ1uPQmmT3naBWo7YOLiKYCosA8Fc3ROTSlSSJsEcWctSmyBYTMq5fzLQfXyD3+KtpoO3xV0ftCFbZ5OigkPPE9502Np7U629DZbESbGmn49Xofq+HfX785dUATL//wohEUwBDqp35f76JuDPykQIhWh9+ns43Px7W82C/5nxEsxF/S1OfoD3gfOmZCBoNvq4WumqODDm2oFLTVXuYzq4K3O7ouQYy0uUo0pZADSEpMvdiWJJdqKI4Pnur0tKWkbniaqxphVEZT2uOIcGfGnHE70hRm8zoUzMA8BZH5jpVUFAYH3pj7wSViNo8tRfeFRTgeEzpkifuIO3K+QgiFH/QwJ8u/YzPHysjFBhd8opC/xzb1MK+d+oRRMj/9loEcWx7YukS5evrzoap2zKj/nAXn/Y4Mot+fjGF3z+P1EvmYp2e3CcWAugTrcz6jyuZ8ctLsRSlEAqE2ftWHX+7YRPPfnsnPvfUvkefCoQCYXa8XM0fL/6ED/94BG93EFN2PDP//QrmPXCDIhYqTDnM+fJG5YaeDQsKCgoKw0URDCcR9ivOBUHAeXAf3oa6iS5nUiKFwzS/9SpIEjE586LiwogWgqgib83tiHoD3uoKGl99dkzjSQ0Z2QD4SkcrGMo3LFIgOhGNE0Vvb55wtzPqY0v+AC1/fgrv4TIEvZb0r9yLPi0j6vP04jiwG9eRgwhqNbnn3EbizFVDNqv2dbdy9J2HqN/5LlI4BC1dhMOjf01d06zkrbmNosu/h6gannDiaa8HQJuUMqS4qk1IBpVI2OUm1N415NiSPwA9Madq0+AC6BdJPm8ms393NYJaxLP7EM4NOyM+tz96BcOg82Sh2lw0m/RbvwqAZ+8RQk73qOb6Ir5jVUjBMLoEC/qU4Tm6VAYNM395KenXyrGpXf/6iLZ/vowUjGxBQmUyYr/yXABaP32fkGfgxyXq9NgWyv3zmos/G3JsrcmOLX06APUNo3ttvojFkkZsTAEZGSsJS5EtJoqCCq3WgkY9Pq6cxIRZJBStQGeJG5f5ookxfxoAngMlE1yJgoLCF3F1yIKhxmYY8jpCQWEqoTbryf/GOXJM6cxU/J4QH/zhCA9d8znl25WY0mjidwd54zcHAEi9YgHW6WOfhGRMkzcdtlW7hjhychIMhHn1Z/sIByXiVxWQcPa0QY8XBIGEMwtZ8OBNzP/LTSSuLUKlFji8vol/3raF7uapnQQ0WQmHJYo/aODBKzfwxr8dwNHsQ5dkZfr9F7LwkVuIX56n/HYqTEn6BMPD3ePSMklBQeHUQxEMJxHajGSMi2cD0PbJ+xNczeTEU1GKt7YKQasjfellE13OSRhiUyhYcyeCSoXz8AEcB3aP2Vz6zGwgGoLhKeIw7HFYhaIsGEqSROsjL+AtPoag1ZB+81f7xNqxwrpgKTFnnE3h+fcSkz17yOM7KvZz6PU/4GquRNToKJp+DbNm3oQojtwBKUnSCReXwxULAdxt8sYHfcrQMRiiWo02Xo7W9VfXD3l82NNz4ywKiPrh9VCxFCSRfYfsOOt8/k0CTSNfWFLZZGdr0NH/7j1dUiq65FQIhXBv3z/ieb6M90gZAPZ5GSO6kRVUInn3nk3Bd9aCKODatJu2J1+P+Hzz2UvQpCYSdrnp2LJh0GPty1aCKOJoKO17TwxGfOFSABoad0VF9AZ5IWbe3DvIzVmLRozMZZNlnM3KFT+lsOCSqNQwEbhaqml49TlaP3pnTOcxFcgir/fgsVH31VVQUIgevQ5DjU2JalQ4NZFjSm9g2o/OR2M30Fzm5LE7t/HSj/coIkuUWP+3Y3TWedAlWMi+/YxxmVOfZgegrWpqCoafPnyMpmMOjDFaCr69dljX6tbpKRT95CLm/PFGTLFaGg538/CNm2gsUZxC0UKSJEo3t/DwDZt44Qe7aa10obEbyPvGapY8fgdJ585AUClLpQpTF1NWHKJawNMVoKtR+S1UUFAYPsqv4CTDfsVaEARcRw7irauZ6HImHZ27tgIQn7cQrWly9kkyJ+eSMld237S8+zohV/QdbyD3MQQINrYScoz8ZqpPMJziDkNNj8Mw1BXd59tfVo1710FQq0i76W4MWblRHb+XoNNBOCBHJVqrIXf6pZiTB59LCoeo3fYm5eufJBzwYbNlsXTht0lJXjDq3ZBNTXvZfuQfuNuGFu8Golcc0iVHlpvfKyxGIhhKvXGkRu2IHmvGNYuwzc0g7A3Q+siLSMGRvf8HiiT9Ipa5iwBwbd4zojn6w3ekHJAFw9GQeulcZv3mChDA9flOXFv3RXSeoFJhu2ItAB3bNhDyDBwZpbHFYJkp90lsKh5cXASwZc5AbbAQCLhoaxs6xvRUQrWvipYjW/B2R8cdEfS6cOzbieNgZK/rSNGnZSLq9YRdHvzltWM6l4KCQuT0OQyV/oUKpzCCKJB8/iwWP34nqZfPQxBh/7v1/OnSz9j0VLkSUzoK6g93sfmpCgDyv70GtTHyVI/RYEi1A9BeE710jvGirriTDf+UN/Zlf/O8vhSc4WItSmHmA7dgzIylu8nLP27ZwrFNLdEs9bSkZn8Hj921jSe+up36Q11ojSqybl3OkqfuJv3KBYja8WlFoKAwlohaNfq0WACay8amZY+CgsKpjSIYTjI0qYmYls8DoHX9exNbzCQj6HLiPCzHocRPWzbB1QxO0pzV6GOSCbldtHzw5pjMoTKa0CbIjqzRuAyPOwyntmDYezMWbYdh94ebALDOXogxtyCqY/cS6Oqk5tG/0PDCE5jKI+uvBhBwd9Nash2AzIxVzJ97NwZ9zKjrkaQwldWf4mqqpKv28IjHic1bgG3RMgyZkfU+7BUW/dVD9ybtdRiqRrhwIahEpv/4AlQmHf7yGrreWj+icfoiSV2OAZ1V1jkLQBDwlVYRaG4b0TxfJOz14a+QRRn73NFH48YtyyXzZvk7teOpVyOu0bhoFpq0JCSPl44tg8eNxqw4C4D2ij34XYNHzgqiirgCWWSNZiwpQCgUoC6+m65Ac1THjRZl5R9QvekVumtG/rn7IqbEbBAEAu2t/cbmRgtBpcKY1xtLenTM5lFQUBge7g7FYahw+qCx6Cn41hrmP/QVLNNT8LmCvPc/h/nrdRup2Dn666/TjXBI4vVfHSAckkg4s5D45XnjNrdhikaSBv0hXv3FPvk5O3saCWcNHkU6FIZUO/P+dCO2Oen4XEGevm8HO1+tjlK1pxdNpQ6e/fZOHrlpMxXb21BpRNKuWsDCJ79K9q0rxk0MV1AYL4xZcpuLlrKxMTAoKCic2iiC4STEdvkaEEXcx47gqa6c6HImDd17d0IohDE+A2NcZI6liUJUqcleeR0IAmGfDyk0NmJcXyzpsSgIhlPcYdgbSRp2uKIWiRds78K9sxgA+7JVURnzywQ6O6h97CECbS0EGhoJeiO/oNOaY8g5+2ZmzbyJ/LwLRxVB+kXa2o7idrcgavQkFo08eki7ZhFJl10nR3JGgK7HYRgYhmCoNkYWL9kf+iQrhd+VXXJdb60fkfCussqRpIRChL39u+zUFivG3EIgOi5DX0klUiiMPtmKPjk6TuvsW5ZjnZVGyO2n9eEXInJcCqIo/14xtMtQn5aJITMHQVThbh3aPd8bS9rWUYLX2xnZg4iA8oqPOHDwWarcB4Y89phzO7t2P0Jz89DHRgurNR0AVwTPUSSodQYMMXKvIU91RVTGHAhTbx/D4mNjOo+CgkLkuNplN74iGCqcTlgKkpj/5xsp/P65GO0amo45ePT2rbz8k704WpVotkjZ+lwl9Ye60FvU5H1j9bjObeiJJHU0+/C7p07bjPV/PUZzqRON3UjBt86Jypgai545v7uaxLVFfSLuR38+qvQli5COOjev/Gwvf7lyA4fXNyGIkHz+TBY9cRf5960esQNUQWGyY8rqdRgqgqGCgsLwUQTDSYgmKR7TGQsAaFNchn1o7DHoUtOJn7Z0okuJCFNiFkVXfJ/UG+9AUEVHyPkyhgzZuTWqPobqU6OHocZmAAGQJMLO6MTXONZvhXAYQ1ZuRH34hkugo52axx4i0NGG1hJH4UX3oTXZBzxekiQa96+nq8d9ZCvzkenPJTFhVlTrqqqRYyMTipaj0uqjOvZg9AqLwZZ2wq6BxSc4HkmqMo1uN2ji6ukkrimCsETrIy8S7hk3UgSNGtEk32gO5uCyzlsIgGvLnlHf4Ht740ij4C7sRVCJFP30ItRm2XHZ+a8PIzpvOC7DpMuvI/cH/w971tDvV70tgYSiFWSuuBq1OnoL3YkJMwFo9lUSlgYXRZ3BDrq6q/AHxm93u8Uif8+4W6MX62lOlH8nPFVjKxga8+U+hv7yGkJR+g5WUFAYHUokqcLpiiAKpFw0h3mP3kPKJXMQBNj3dh0PXPIZm5+uIBRUYkoHw9nq4+O/lACQcddqdHHmcZ1fY9Gjtsj3IFMllrT2QCefPyZHkRZ+dy0aW/S+d0Wtmun3X0jWLXIiyGd/L+W1X+4nHFZEw4Hobvby1m+LeeDiT9n7Zh2SBPGrClj4j9uZ9qML0CdZJ7pEBYUxxZgpOwyVSFIFBYWRoAiGkxT7ZeeASoW7/BjuitKJLmdSYJk5l6yvfX/KCIYAxthULFVjdyFv6HEY+itqkYIjE/yOR5JObcFQUIlorLKwEI0+hmF/AOen2wCwLz9z1ON9GX97KzWP/YVgZzs6azzTLr4PnSV24HpCQSo+eZq6He9Q8emzGA6PTbRSZ2cFXV1VCKKKxBkjd1U6Gkrx1lX39WWMBJXBiNouRxD5awZ3GY42kvSLFHxrDbpEC8GWdtqfHX6EsMre08fQ0T3gMebpsxG0GoJNbfjLRuce8x6WFyPs8zJHNc6X0SdZKfzB+QB0v/tZRE6x4bgMtQlJqIwmHFmR9ZzMXHE1CdOXo1aP3EX6ZazWDHRaK0HJT6t/8NchLMnfiaKoidr8Q2G1yA5Db2czIX90XBDm5B7BsLo8KuMNhMZmR5uYDJKE95By3aKgMBlwtcuCoVZxGCqcpmhsBgq/ey7zHrwZS2ESPmeQd//7EH+9diMVO5SY0oFY91AJPlcQS2ESKRfNnpAaplIsacAX4tWf7UUKQ+KaIuJXRr+NhSAIZN92BtN+dD6iSmD3a7W8+7tDitPwS7g6/Lz3v4f4w4WfsO2FKkJBCfuCTOb/5WZm/uoyTD0xjQoKpzp9kaTlTuV7QkFBYdgoguEkRZ0Qi/lMuYdT28fvKV/wPViqJARh6r1tgy4nDa8+i7c+eq4RAE1cAqLRhBQIRtT3rT96BUNpikeSwvEd9CHH6AVD18ZdhJ1u1PYYzNNmjnq8LxIOBql/9lGCXZ3obAlDOgsBGvd9TEfFPgRRRX72eWg0pqjWBFBesY7d+/4JQGz+QrSmyOMupXAId2stzYc2UvLeI5S8+zeqH3mAzq0bhlWDLkl2GQZqmwY9LuztcRgaRi8Yqs06pv/kIhDk193x6fZhnd/Xx9AxcG8+UafDXDQHgO51m0dcqxQM4q+sA8A2J33E4wxEwqoCUi6ZC0DHP58n2D54v0E40WUY6evtaW+I+HetKy96gqEgiCT0uAzrPYMLov5wjyitGj/BUKs1o9PZAQl3W11UxjQn9TjRG+oI+/1RGXMg+mJJlT6GCgqTApfSw1BBAQDr9GTmP3gTBd9di8HWE1N6x1Ze+dnevuheBZnWSie7evrk5X39bAQxso1e0aY3lrSlfPLH6a3781FaKlxoY03kj3F8a/L5syj84QWAHBu74Z9lYzrfVMHvDvLpI8f4wwWfsOnJCoK+MNaZqcz9v+uY+z/XYp2ePNElKiiMK8b0GESVgNcRxNGi/M4pKCgMj6mnvJxG2C47B0GjxlNdgavk0ESXM2FIoRDd+3YSck/+3YUD0f3aOzj27aLpzZei2s9QEAT0qbJoMGLBUJBvAqVTINIkWje0YX+ArjfXAxCz4uyoR8r6W5oIdHWi1puZdtF9Qwpz4WCAlsObAJheeCVpqUv7XrfR4HDUEwx66crT0ZWnQ8hJAUnCnJRL2sILIxrD1VJDybt/Y+/Tv+DwG3+kZstrOOrlCCN9Zg6WOQuHV1SviKQZ/DkXtLJQGPZFxxlrn5NO1q0rAOh45nUCzZHvOlcnybv3fM2Di5wxy88EQcC9dS/eoyN0e4nHf7YF9dj8hOd9/SxMeQkEOt20/OUZpMDgz7Egitgulfu0dGz9nLBv4BsSSZKoefxvHHrt/3A2Dr3AEfR5aDm8mYrK9cN7EIOQkixHfjf5K/CG+v9dcQU76Qo2AwI2a3SdnENhMacARE0w1Jpj0JhsaOMTCToHdsFGA2Oe3KvTe3hs3YwKCgqR4emSXf5qRTBUUEBQiaReMpf5j91DyiVzEQTY+6YcU7rzlWol3rGHjU+UI4UhdlkuttnR35wWKdYi+XqofJI7QQPeEDtflVMrCr69pi/xZixJOndGnzD50Z+OcvCjka0DnAqEAmG2v1jFHy76lHUPys5Yc14Cs/7jSuY9cAP2edFr4aCgMJUQtWp0yfI6U2vl1F1LVVBQmBgUwXASo46xYTn3DABa172LFD49ey14qitofPU5qv70P0jS1HwOUhddiKg34KuvpXPbxqiOrUuSb6YCtY0jG6BXeDoF7pHDQVmMFVSj+2pzrt9KqLMbtS0G26Ll0SjtBPQpaWR97XvknHUTGuPQ/RPay3YT9LrQ6+wkJc4d9fzdjjr2H3iaHbv+Qql3Z9//t2fNYua1P2XaJd84qS4pHMLRWE7drvfoqj6EI0vAkSXgydDgaCglHPQj6vUY86cTv/Yisr/7MzLv/hYam31YtfUKGr2uvYFQmeWb8aBj8F6HwyHrK8uwL8hECobpen1dxOdpM+TPoK9xcIFHn5qBbaHce6T96TdHtHlAEEVEc0/PxO7oRFZ+GZVOw8xfXYbaosdfXhNRTKtxyWzUSXGEPW66dm0d8DhBENDG9cSjHBn4uF68Xc1Ub36VqtoNBIPR2RlpsaRhs2YiSSGq3Pv7dTrWeuQ+oXGxBej19qjMGynmHsHQ014ftTFnX/dzsr/5Y7Sx8VEbsz8MmbmgEgm1dhBoaR/TuRQUFIamVzDUWMavH7GCwmRHjildy7w/34Q5LwFPd4DXf32Af966hcaSsd1YM9lxtHjZ84Z8PZt5w5IJrSVmURYAVbs68Lsnb+uMQ+sb8TmD6JKsxK3IH7d5065cQNoV8wF45ad7qSvuHLe5JwPhkMTet2p54NLPePPfi3G2+tAn25j+04tY8LdbiFuaG5UNtgoKU5m+aOcqRTBUUFAYHopgOMmxXnQWgkGHv6kBx8F9E13OhOA8UgyALX3alIwjBdAYLKQvvASA1vXvEeiM3kKqNlFeXPaPUjA8FWJvpYAsKAsq9YjHCHt8dL3zKQBxZ5+LqB75WIMR50rAmj5tyOMkSaKpWI55TE9fjiiO3O3Y3V3LvgNPsXPXQ7S2HQYEAq7Ovr+Lai1663FBwedoo+XwZsrWPc7eZ35JyTsP0bh3HU2Nu/uO0SYkkXjZtWR940fk/eS3pN/6VWLPXDtiYSLoiEwwFE09opkzevEagiCQe7fcr9K1ZU/Enyldnrxz1VtTOaQIGL/2IkSTkUBtI46Pt4yoTtEki6UBx9gIhgCGVDtFP5VjWp2fbse148CgxwuiiPWiswBo3/QJ4UF6qtoWyU7Ozqr9BL2Dx0yZEjLRWeMJB/20tB4c5qMYmPR0uYYK914+bP4761ueoMUnx2+FpRAdAXmndmrK4qjNGSnJSfMouPBe0pdcGrUxhVF8bwwHUadDnyo7Mn2HlYgsBYWJRJIk3F1yJKlaEQwVFE7CWpTCgr9+hbyvnY3WoKJ6bwd/vXYj7//fYXyTWKAaSzY/U0koIEc52malTWgthrQYdElWQoEwlbsm7yakvT0Ca9K5M8Y9vjXv62cTuySHgDfM09/cSWdD9DZSTlYkSeLQx4385eoNvPLTfXTUutHYjeR9YzWLH7udpDVFExajq6Aw2TCky4Jha+Xkj3ZWUFCYXExN9eU0QmU2Yr1AXsBuW/9+VOMspwKSJOE8LAuG9sxZE1zN6IiftgRzUi6S30/L+29EbdwvOgxHJPqdQjvv+j4f6lGIah9tJOxwoYlLwDovemKBFAxS99xjuMuPYamK/HVyNVXg7WxEVGtJSV40orm7u2vZt/8Jdu7+K21tR0AQiM1bwMyrf0TmiqtPOj7k91Ly3iMUv/SfVG9+lc6qYsIBL6LRhGX2fMxFs/uOFUQR+6Ll6JJSEMTR/aRI4TAhl3wxq7JHJhgGouyysxQmEb+qACTo/NeHEZ2jyUhBMOgJ+3xDugxVRhPxay4GoPO1jwh1OoZdo6rPYTi2iwKxS3LIvEl2RHa88A6SPzDo8eYVC1DZrYQc3Tj27RzwOH1qOrrUDKRQiNZjOwYdUxAE4vLl933jF4Tq0ZIQP5OF878GgEQYf9hDKCsZf1EGgaIsknKWodVaiIubHrU5I8VojMeaWohaH/0+peORVGDMkXfXexXBUEFhQvG7Q4SD8vWGxqJEko4HkiTh73DhONpI65YyWjcd6/mnFGdp8wnHOo414Wt1IoWmZnrKqYKgEkm/ZiHzH72T+JUFhEMSG58o50+XfsahdSO8t5qieB0Btr9YBUDG9eO/YerLCIJA7ELZZXhsU8sEV9M/3c1eSrfItSWfO2Pc5xdUIkU/vxhTdjzOVh/PfHPnKSt2S5JE6ZZWHrlpM899ZxfNpU70VjU5d65k6dN3kX7lAkTt2Gz0VVCYqhjTFYehgoLCyFB+UacA1vNW4li3mUBbC937dmJbsHSiSxo3/E0NBDvbETSaiNxYkxlBEMk842q5d9ehA/iaG9Eljr75tjYhEQSBsNNNqNOBOmboiMsTC+v59ynQtyPc6zAcoWAYcrnpfu9zAOJWnx/V3oUtH72N60gxnuoK4q/5OSqNLqLzTEk5FF50H2JZIxrN8Bf8JEniSN17ONsrQBCJzVtAyry16G0JA57jytcT+MQLgoAhMwdj/jRM+dPRpaSNWhQcjJDHDT2ChspiHvRYsS+S1IskSVGNnMm+/QxaN5Xi2X0IX1k1urzBe9gJooh+Wg6evYdxV5ShTxv8eNuCpXTt2oqvroaOl94l/qvXD6u+PrF0DB2GvWTeuISmD4vxtXTS/eFGbJesHvBYQaPGeuEqOp5/h/bP12Odv2TA94t98XKa3qih9chWkmadPejrF5u/kPrd79PRWYHX2xmViFBRVGG1ZnDWql8TCLgJBD0Y9LHy4xAELOZU5s65fVSO3tFgK/PRlRfZd0QkhAI+qv/+CL7mRvJ+/GtEbfTG/jLG3ALaN6zDe7g86p9NBQWFyOl1FwoaFaJeueWLJmF/kO7DDagtesy58vWUp76THXc9gRTof3NnykWzKfz+eQCEPAF2f/0Z+Q+igMZmQBdrQhNrQp9gwb4gi8Szp/Z9z1RDn2hl5q8vo21bOaUPrqe7sYvnvruLaWcmcvHPZhKbbpzoEsecHS9X43MGMWbFEbcsb6LLASBmUTYN7x6gdHPrRJfSL/verkMKg3Vmal/033ijNumY9R9XUvytJ2k82s1LP9rDzX9ehKg6da6/Kna2sf6hEip2yE5TjUFFypWLSL92kRK5raAwCMcdhopgqKCgMDwUh+EUQDTosPVEvbV98uGgUW+nGs7DcgyeNaUQUa2d4GpGjyEmGXuW7JTs2PRpVMYUNVo0cfJixcj6GJ5CkaS9PQxHKBh2v7cByeNFm5SCZda8qNXlOLSfzi1yrGjOiusiFguhR7xIySM1ZYTuwnw9uWtuI2HGGcy85n5yzrrxBLEwHArSWrKdw288QGeiB0eWgCAIJF56DTnf/RkZd32TuLPORZ+WMaZiIUCop3+haDEN+Rr2imZSKEzIM7jzbbiYsuJI6tkl3PlqZC5D/bQcADyVQ7uqBFEk6ZKrQRBwbd6Dr6x6WPX19jAMjLHDEECl15DTE9PqeGf9kI5I81lLEM1GAu2tOAeJ0bbMmo+o0+HrbsXRUDromDpLLOaUPECiIYouQ0EQUKm06PV2LOYU1Orjn0urNQNLTy/BiaC9vZTa7W8P+dxEikqjI9jWjuT34WuMXm/E/tBnZIFaRaizm2DT5FzgU1A4HejrX2jVK8L9KJFCYRwlTVS/uJ3997/CpisfYt8PXqL+9T19x2hjTLJYKAio7Fa0Oeno8jPR5WeizcvEY0ylsjaBytoEKo6Z5CQFQYCwRKDDjbOshY4dlTS8e4COHRV944YDIfb9+GVKH1pP4wfFeOo6Tolr9slK3NJcFv3zNjJvWopKLXB0QzN/vvwzPn3kGEH/qZv0E/SH2Py0/L7LuG7RpIl0tM/PRBChpdw56eI2JUlizxu1ACSfN3NCa9EnWSn89dWotSJHP2vm7f8sPiW+J6p2t/PY3Vt59PatVOxoR6URSbtqAYueuoecO1cqYqGCwhD0CobttW5CASXRQEFBIXKU7aZTBPOa5XR/sJFgZwddu7YQs3TVRJc0LjiPyD2rekW2U4GUuWsRs1OIWboyamPqklIItDbjr23EMLtweCePw/1gV3EdXQdqSVo7A13C4FGToyHcIxgyAmdgqMuB48NNAMSvuTBq4pi/vZWm114AIGn22cN6L0vhEIKowlY2vD59fr+TltZDmFfJ3xMag4XM5VeddFx33VEqP3+pr49h144txJ65BgB9SvqXagnjb23GU12Bp6oCf0uTvACpUiGIotwjTSUiqFSoDCaMOXkYcwtRW20R1x10yGKUyja4uxBA1GpArYZgkKDDi9oY3Q0F2beuoPnjw3gPleI5VIphRv6gx+um5wLgqS5HCoeHfP/o0zKxzFmAY98uXFv2Duli/CJiXyTp2DsMARJXT6futT04jjTQ+a8PiLvzmoFr0+uwnHsGXa99RPvnH2OeNa/fhWpRp8MyZyFdOzbTUbYHa2rBoDXEFy7F2VBGff12sjLPmjDn33jR0lpMU/12EMCSMvh7L1JM8el01RzGW1+LITMnKmP2h6jRYkjPxlNZhvdQGZrkgd3MCgoKY0evYKj0Lxw5AYeX0j9/TPvOSoJfcvWLVjOucAyVtce/49L+735UdgvCEP2v1bE20h/4OVI4TLjbRajLIf/T2U2wpYNQbjqVtQlkp7fgrmmnc3c1nbuPby7SxpqwzkrDNiuN2MXZGDNio/vAT3NUeg05d64kaW0Rx/78MZ17a1j3YAl736rj4p/OpOCMU+93be9bdThafOgSzCSeUzTR5fShsegxF6bgONJAxY425l+WPvRJ40T9wS6ay5yodSIJZ028I9g6I5WCH1/Ekf94m+0vVqM3azjve+MfrR8NavZ18PFDJX3OUpVaIPGCOWTetAR94jDTlBQUTmN08RZEvZqwN0hHvYf4rOi3vFBQUDg1UQTDKYKo1WC77Bzan3qd9s/WYZu/ZEwjxSYDQadD7gcmCNgyxr8nwFhhjE8nJz4dhyl6Sp0uMRnnwX0jchgKvYrhGO1CdFW1cfCnLxPwhKh6chMJq4tIv3ZRX4RTNJFGEUna9fanSP4A+rRMTNOis0s0HAjQ8OKThH1eTEnZpC26KOJzgz4Ph/71P8Tkzscccw4qlSai8xzOBvYfeBqfr5PsFCNx+QtPOkYKh6jf9T6N+9cDoLJYiVl+FrZFy79wTBhvTSWeqnI8VRV4aisJeyLf2du9ZzsA2oQkjHmF8j/ZeYi6gRcuQ85ewTAyUVllNhDqdBDo9qBPiu7Noz7JSuolc6l7fQ+dr3yA/v/lDerQ0GamIOh1hL1efI316FOHXtCwzJyLY98u3HsOEXPzpRE7QESTHMca7f6NAyGIAnn3nc3ebz+P8/OdWNYsR5uVNuDxlrXL6X73M3yN9XjKj2HM638TQ8zyMzHlT8NUOANqB68hJmcudTvexpCQSTDoRqsdu40HkwGTSY6r9rQ3RG1MY3wGXTWH8dXXRG3MAefKyZcFwyPlWM5ZNubzKSgonIy7U44kVRwYw+OLUcpqkw5HSRNBhxfBoEM/LRf9jDz0M/LRpCWd9Lutjh9eJKEgiqjslgH7NlfWJhDyGYm76xr8tY34y2vwV9bib3fRuqGE1g0lhG5fQdZX5Ou3kC9AsNs7ppvzTieMmXHM+d9raV5/hLKHP6W10sWT925nxtpkLrp/BvaUU6M3aDgs920ESLt6IaJmcm3KMucn4jjSQGuFc6JLOYHdPe7C2BWFqM2TY10m8expBJ0+jj3wERseLUNnVnPWPdHZeDYeVO/t4NNHjlHyudwXUlQLJJ03i8ybl0X9Xk9B4XRAEAUMaTG4ylpoq3QqgqGCgkLEKILhFMJ85iK639tAsKWdzq0b+5xApypqs4XcH/4KYXclGsPQjqOpSiRupKHQJsnReSOKJO1d6xgDvTDsD3Lo394k4AlhtGtwdwZo+ugQTR8dIv7MQvLuPStqF/+SJCGFegTDYToMpUAQ58ZdAMSdc0HUorvaPn4PX0MdKqOJ3NW3yC68CGkv3UnA3U1nyW6EZWuHPD4cDlFXv42yyg8JB/3orPGY4jNOOs7VUkP15ldxt8qigW3xChIuuAxRIzv0wgE/jv276dj8Gf6WphPOFbQatHkZ6AuyZcFIFCAURgqF5Oe+59/Blna8h0rxV9bhb2nC39JE59bPQaUiZulK4s+/rN/nONgTSSroInMLiiYjoU4H/g53RMcPl8ybl9Lw/gH85TV49hzCuGBgIVlQqdAXZuPZfxRPZVlEgqExtxBBoybU1kmgtgltRmQ9TVVm+UI/6Bi/aCbbjFQSV0+n+ZMjtD//Dkn33zPg50RlMmJeuRDHx1vo2Pr5gIKhNj4RbXxiz38N/gUkqtTMvOYnqDQ6tMN03E5FeuNQPe3Riw81xsvvSW/9EOpsNObKLaDtkw/wHi5T+hgqKEwQisNweIT9QRre2U/DuwdY8NDNiFo1gihguflqbFoN2pz0qPa2jhSVxYR51fFYeskfwFdRi+9YJd6SSjxpc/r+1rGjkoO/fhNzfiJxZ+QTf0Y+ppx45Tt4FAiCQNKaIuKW5lL51GYa3tjDoXWNHNvYzNpvT2P5zTlTvlfc0c+aaa1wobeqSbloztAnjDOGdDsArVWTpwdX0B9i/7vyNVrSBMeRfpnUS+YQ8vgpf+QzPvrTUSwJOhZccfI94WSicnc76/58lMqdco9CUSWQeO5MMm9ehiEl8rQahYkl6PTibXYgBUKEAyE5/Skkobbo0dgMaGOMiFplCXq8MfYIhq2VLqadNdHVKCgoTBWUb+sphKBWY7tiLW3/eIm2TR9jW7QMlfHU3iGitlixZM+e6DLGhq2l1Bx8H2NuAXGrzx/VULpEWWgINLQMX4D8wiJCtBd2q57Ziru6HXO8jq+/chZdDR42PV7KoXUNtG4ooWtHGek3LSf9mkWj3s0ach0XEQT98HZ5evYfQfJ4UVmsA4obI8HXJLuDspdfi9ZkH9a5gkr+evb7HezZ+09mFF2LwXBy5JTL1UxT836amvfh8bQBYEktIPecW1HrjCcdX1+7BXdrDaJeT9Ll12OZOReAoKObzm0b6dy5hbBbviEX9DoMswrRFWahK8hGm5EyLPdmyOnGe7gM78FSvIdKCTa30bH5MzRxCdgXrzjp+F7xyLP7EK4tezEtnzfo+Jr0ZAJ1TbRtPEbckuhHLGpjTKRduYCa57fT9dYnGObPGPTzoesRDL11kfUkFLVajLnTcB09iHt3ceSCYU9kq691fHda59y9ipaNx/AdKcdbfGzQ+GPLmuU4Pt6Cq+QQwe6uIaNpI/nu6e392ZWnG3ZM71TDZEoCIODuJujzoNaN3sVgjJNdof7WZsLBIOIQkXmjQZ+WiaBWE3a4CDa0oElNHPokBQWFqOLpVgTDSGn+5Ajl//wcX5O8cenQ642YV8wHwDBjcsVPCloN+mk56Kfl0PvLWtmzD6Rr/wEQwFnajLO0maonN6NPtpJw1jSSzp2BKTt+wuqe6qjNOvLvW03yBbMoffBjug7U8d7/HKb4gwau+ve5JORO3c2tRzc0AxC3dk7UI/6jQe/7tv5Q1wRXcpziDxvxdAXQJZiJWRB5W4HxIuPaRQQdXqqf28bb/3GQrAWxxGVOvnWjuuJO1v2lhGMbZUehSi2QsGYGmTctxZA2PMe2wtgghSW8DZ24KlrxNnbja3Xga3Hga3Xia3Yw/ScXYp8rC9Ktm8s4+j/vDzjWtB+eT/IFcnuWrkP1VD+zFXN+IpZpSVgKk9HGm5UNLmOAPs0OQHvN2GyyVlBQODVRBMMphmn5PLrf/5xATQNtn31E4oVXTHRJCiMk4OnGU1WOv7WZmJWr+xxeI0ETEweiiOQPEOroRh1nj/zkLza1l4haT0NneQu1L8mxlBf/fDbmOB3mOB3X/X4RjUe7eOc/i6ne3U7Foxtp3VTKvAduQBxBlGgvvS4zwaCT+9sNp9ZNuwGwzl0Ytd6FAOm33Yu2uG3YYiFA/LRliCo11Vteo6u7im27H6Qw9xJSkheccCF9tHkdnVXFAKi0BtIWX0z8tKUIgvw4JElCCodw5crPSXz8xQiCQNw5F6C2WPHW19Kx5TMcxXshJPeAVMXZsZ57BuYzFyMaR77QqDIbMS2ejWmxLPp3vfMpnS+/T8sHb2DMLUAbd+IinGnaTOzLVtG59XNa//kyosWIYdYgotTZS3Bv20fLhhLyv3lOxDsWw8EQYW8AtXnox5Z+9ULq/rUbf0Ut3oOlGGYN3GuvN6ZzOA4u84zZsmC48yD2y4d2kgKoE+MA8NR3RjxPNNAnWUm7fB61r+ySY1pn5g/4edGkJqIrzMZXUkn33h3EnjnwY2v75APK9+ygcPWdGGJThqzD52ijo6OJmJi8ET+WyY5arUerteD3O/B1t6BOGP1ilMZoQ6XVE/J7CbQ2o0tOjUKl/SOo1ejTs+RY0mOVimCooDABeJ1BQI7VVOifsD/IsQfX0/jeAQBUdiu2y9dgWjL5XFaRYLvsHMxnL8Gz7wju3QfxHTyGt7Gbmhd3UPPiDhY/cSfGdGURfjSYcxOY+4fraXjnANX/+ISafZ08dM3nrL6vgJW35aLSRO8+Yryo3iO7uuxzJ09/wC9iLUpBEKGj1kN3sxdr4sRvgtj2fCUAKRfPRVBNztc8+7YVdBXX0bW/lld/to+7n1w+adywTcccfPyXoxz6WE6zEdUCSefPJvPmpUqPwgkk6PLhLG/BmB6LNkbeeFz/5l5K/7J+wHN8zY6+Xr5uT7zcWkStQlCr5H6+AoRdHkIOF2rb8Q2Q3oYu2rdX0L69ou//aWNNmAuTsBQmEb+yYExa2JyO9Lp0O+oUwVBBQSFyFMFwiiGIIjHXX0Tz/z1K5/ZN2JeuRBt76u0W9TXV0/LB28TFT8cyc9VElzMmxGTPoc4Ug9/VgWP/bmwLR97nSVCp0MTGE2htJtDYMjzB8Iu7uKToKIZSKEzJHz4iHJSYfk4yM9aeKAIkT7Nx5xMr2P92LW//9gCOI410F9djnzfyuBR/u+yKU1mH17cl5HDh2XcUAOu8xSOefyB0lpNdgZEgCAJxBYsxJ+dS+dnzOJsqOHL0VY4cfZWZ1/4UvVX+3MeKC5CkMDE587BnzkSlPX4THQ76qdr0Cn5tgJSc2xAEAbXJTNLl1xHyemh840W6d207XmtBFpbzVmJcMOOk2C1JkpA8PkKd3YS6HEjBELqCLMRhuDmtF56J50AJviPlNP7reTLu+uYJgpMgCCRccDkhlxPHgT20PPgMST/5Krqc/hcwdNNyUMXaCLbLNxzxKwcW875I8c9fo3t/DXnfWjNk9JLWbiTl4jnU/Ws3XW9/MoRgKAswgbYWQl4vKv3QCxrmaTNpEkUCNQ0EmtvQ9IiBg6FOkN9TwW4vQac3IuEzWmTeuISGdw/gr6rDvbN40EVV86pF+Eoq6dq9nZhVawbcMeptrCPY2U57+R7ShhAMu+uOcuz9v6PT2Vmx7Id9wvipiNEQj9/vwNvZjCkKgqEgCFjTp+PXBqJQ3dAYMnPwVJbhK6nEctaScZlTQUHhOD5Hj8PQNPkcQ5MBT30nh37zFs7SZhDAdtkarBefPexNZ5MNldWMedUizKsWEfb58ew/imvzHtSejhPEwpqXd6KLNxN/Rr4SETdMBEEg9ZI5xC7OpuSPH9Gxs5KPHjhK8QcNXPlvc0idMXUiFD1dAZpL5cQK64yB+1NPJGqTDmNOAq6yFqr3dDDr/KE3l40l9Ye7qNnXiUotkHLx5E1CElQi0++/kL1ffZzqvR18/ljZhPczrDvYxYZ/lnJoXSOSJC9DJK6ZQdatyzGk2ie0ttMRf4dbFpUP1NK1vxZneQuEJab9+AKSe6J2TTnxoFajTUtCnRSHOtaGKtaGKsaGOtaGKyWR3rsx48JZGBfO6ncuSZJwSBLOWvnoYKyK2Fu1+Cpq8VfWEqhrwt/uon1rOe1byzHnJ/YJhmF/EEGjUtyHI0Sf3CMY1iqCoYKCQuQodwdTEMOsAvSzCvEWl9C27l1Srrt1okuKOu7yUtylR1B7IfEUFQwFUUXizFXUbn+Tjs2fYV2wdFQXQdq4BAKtzQQbWmFmZMIJgPAFgVAKSwhRaM9S/9Y+HEca0JnUXPyz/i8aBUFg7qUZlG5uYf/bdbTvrBydYNjjMOyNa4wU17Z9EAqhS03vi3YdLa6yErRx8cR2jX4Xt84SR+FF99F04BMa9q1HEEU6KvaRMlfuYRqTM5eYnLknnedztFG27gm5B5oo4quvQZ8miw7OowdpevNlQg45esu4bC7W81aiy5Wff8kfwLX9AO7dBwm2dxHqchDuciAFgifMIWrV6GZPw7RoNoZ50xENgwtXgigSf/e11P/iAbw1lXRs/OSkXqyCKJJ05Y2EXE7c5cdo/sPjJP/862iST94YIYgipqVz6X5vA03rDkckGLqq2ujYVQVAyR8+wlXeSu7XzhrU3Zp+zULq39wrR3Eeq0JfkNXvcSqrGVWsjVB7F77GeozZuUPWozKaMGbn4S4/hnvXQWwXnjnkOaJeh2g1E+524qnvwlI4foKhxmYk/ZqFVD21hc5/fYRx4cwBezoZF8+m/dk3CbS34qkqx5jdvyPQOnsBrsPFtJftJnXhhYN+D5qTchE1eny+Tjq7KomxD/0cT1WMxng6uyrwdbdGbczc1bfgyBqfm21DlhwT7D1SrvQxVFCYAHodhirFYdgvZX/7BGdpMxqbgZiv3oRhGNfOUwVRp+1LepDCYSp7FmrTY2qpfGITYV8QtVVP8vmzSLl4juI+HCb6JCuz/+sqmj46RPXDH9NwuJuHb9zEGbfncs7XC9Dox7/n5XCp3tcBgCEtps9RNBmxzUrDVdZC1Z72CRcMtz0v30fErZqGNmbyxXx+EX2SlexvrOXo/7zPxw+VULAygdSi8RW0JUmiYkc7G/5ZSunm49e08WcWkn3bCkxZQ2+WVIgujmNNHPmvd3FXt5/0N1WsjZYWI94e16BkjyXzkbmj7uErCMIJG9XVCbFYzllG71bvsM9PoKYBX0UtgZoGHKmLiUf+fqp6dhstnx4lcW0RSWuKFHF5mPQJhnUewmEJUVTuyRQUFIZGEQynKDHXX0jDwWM4ivcSc8bZfULAqYKnsgwAS/KpuxgMED9tCfX7PsDf0oT72BFMhUUjHksbn4DrKAQaW4Z3ovhlh+Ho8DZ3U/3YZwCs/W4R1qTBe2/lr0hk/9t1dOyshLtHLg77O3ochrbhOQxdvXGk8xaNeO4vEvJ6aHz5acJ+H9oL78Oc2L+4NBwEUSR57hrip68g4O5CYxj8MXbXHqVswzOEPW5UJjMp192KPi2TkMtJ83uv49gvP2Z1Uhxxd16Nfpr8OfPXNOL8bDuuLXsIuzz9jq0yatHGmggHQviauvHsOohn10EEjQr9zEKMi2dhnDcD0dT/666OjyH25ktpe/QVWj95H1PhdHTJJ+5oFtVqUm64g9rH/4qvoZbm3z9G8s+/jsp+8uM2rZhP93sbaNtWHpHbrunDgwBYk/R0N3mpe30Prqo2ZvziEjS2/mvWJ1pJOncGje8V0/32J+i/d/uA42uzUvG0d+FrqI1IMAQwz5iDu/wYnl3FEQmGAJrEWHzdTjz1nVgKkyI6J1qkX7OI+jf2EmhswblxN5az+nfminodpiVzcG7YSffu7QMKhqZpMxC0OvzODlzNlZiTBu5HKao1xObMpbVkG42Ne05pwTA7azVxZ56PxjR1nApfxJCVC2oVobZOpY+hgsIE4O1zGCqCYX8UfOdc3N7Pib3lctSxU/N7djh8MdGhqiYWy3ln4ty0i2B7F7Uv76T25Z3Y52eSeulc4lbkjapNwOmEIAgknzeT2MXZlP5lPS2flfD5o2UcWtfIFb+eTc7iyS2G9MaRWmeNXUx5NLDNTKX+jb1U7e6Y0Do8XQH2v1sHQOplJ2/YnIwknTuDti1ltH5+jJfv38vXnj8DnWnslwHDYYmjnzWz4Z+l1OzrBEBUCcSvnk7m9Utk55rCmCJJEq6KVtq3laNPsZN49jQAdPHmPrFQk56ErjAHfWEOumnZqGNO/D0crVAYKaJOiy4/C13+8bWT3qjTtk2leOo6qHpyM1VPbsY+L4Ocu1dhnT6xmwemCrpEC4gCQX8YZ6tvUsQ6KygoTH4UwXCKos1IwbRsHq4te+jas+OUEgwlScJTVQ6AOfnU7VEFcs+5+PylNB/cQMfmz0YpGMqLscMWDIUTHYajQZIkSh/8GL87RMa8GBZdN7RYlrdCvhB0ljbj73CNeKdmoNdhaI3cYRiob8ZfUQsqEcus+SOa98u0b/iYkNuF3paIKT66vUDUOgNq3cACrCRJNO1fT92u90CS0KVlkHrD7WhsMTiK99L8zr8IuZwgCFgvWIXtynMhFMbx2Xacn+3AX17TN5Yu0ULSeTMx5yWijTWijTWjjTGi0mv65nKVtdCyoYSWDSV4ajvw7D2MZ+9hOo1a4r52M4Y50/qt07RyIe7dh/DsOUTDq8+Ree/3ENUn/hyp9HrSbrmHmn/+mUBLG63/fJmkH9550ljajBQ06UkEapto2VAyaMSoFArTtO4QABf9VHa+/utne+jcU83ubz7LrN9cMeDNa8b1i2l8rxjP/iME2zoHjP3VZqXh2XMYX8Mw+hgWzab5nX/hK60m2NF10o1af6gT4vCVVuMd5z6GAGqjlswbl1L28Kd0vbEO8/J5CANEuJnPXIxzw04ch/aScNGV/ca0ihotlhmz6d67k/ayPYMKhgCx+QtpLdlGc0sxhQWXolKdmnF7er0dnzn6C/2SJBFyOlBbxrZHjKjVYczKw11WgufAUUUwVFAYZ5Qehifi73DRuqmU1EvkRf4Gbw6J3xn89+ZURWU2Yr/6PGxXrsWz/yjOT7bh2X+Ezj3VdO6pJueeVWRer0RJDwdtjIkZ/+9SWteUcuxPH9NW5eTRO7ay6NpMzv/edAzWyRl1e2yT7PiyzZqccaS9WHvqazzajc8dRGecmGWs3a/XEPCGMeUm9NU02REEgcLvrqX7YD0t5U4euuZzrv3veWTMGRtHsdcRYN879Wx7obIv7latFUm8YDbp1y7u66emMDaEAyE69lTTtqmU9u3l+Frk18A+L4PEs6f1iHAJJP7wTrTZaajMk9slCxB7/7fQ7z6Ia8tevIeO0bm3hj3ffI6EswrJuWuV4jgcAlGtQp9owdvYTXutWxEMFRQUIuLUbf5zGmBcKi+Mu0oOI0XBGTZZCLS3EnK7EFRqjFEWXCYjiTNXgSDgLi/B11g/4nE0cT2CYcPIBUNG+TZq3VBC25ZyVGqBy349N6K4A3OcjpQieeG6NypyJIzEYejcLDvtTPlFqM3Dcyb2R6Cjnc6tGwBIW3Ipgji+u7NrtvyLup3vgiRhXbiUjDu/iagzUP/ikzS89BQhlxNNWhLJ/+8+7NddiGvzbup/8B+0P/4v/OU1CCqR+FUFzP6vq1n69N3k3H4GCasKsM1Mw5Bi6xMLQb75NOcnknPnShY/fgeL/nEbWbcsx5ARQ8jtp+VPT+LaurffOgVBIO6OqxAtJvxNDbStf6/f49RmC2lfuQdUIt7iEnyl1f0eZ1oui71N6w4P+vy076rC3+bCaNdQcGYSRWtSuPuZlcSkGfE2dLH/O8/Quqm033ON6bFyZK4Ezo27Bpyjt4+htz5ywVBtsaJPl8V1z65DkZ2TKPcx9DR0RjxPNEm9bC66BDOh9i451ncAtHmZqFMSkPwBHMV7BjzOMnsBAB0V+5DCoUHnNifnoDXHEgr5aG0d/DVXOJFQwEfZf/+S8v/9NSFv/y7iaGIqkDfBePYfHfO5FBQUTsSnCIZ9+Fqd7PnOCxx7YB0tnx3tcy2c7giiiHFeEYnfu520/70f66WrUcXaSFo7o+8Yx9FGuo80TGCVU4v4FfksfvR2Ui6R79N3vlzNny77jAPv10+6+/WWCif1h7oQVQJxyyf3Jl19ohVdgoVwSKJ2f+eE1BAOS2x7Qb5XTb1s3pSKWtfYjMz8zeXoEiy017j5xy1b+OThY4SC4aiML0kStQc6ee2X+/nvcz7mrd8W01zqRGdSk3H9YhY/81UKvr1WEQvHEEmSKHngI7Zc+zeKf/YvGt7Zj6/FiahTY5g7HXHe4hN++wyzCqeEWAggGnSYz1hA0g/vJO1/78e0aiEI0PJZCZVPbp7o8qYE+hQ7oPQxVFBQiBxFMJzC6IvyQK0m2NmOv6VposuJGt4a+ULcGJeOqDr1TbA6Sywpc9eSfM3NaBNGHi2ojZcvAEPtXYT9gchP/KLDcBQ3sgGHl2N/WQ/AyrsLSMyLXIDLWyGLne07K0c8v79dvvgRI+xhKIXDuDbLAka04khb172DFAxiScnHljFyt+hI0Z+xEEGrI/Gya0m+/HpCLic1jz6I8+A+UInYLl9Dyq+/hSrWRvMfn6D9idcIuf0Y0mPI/eqZLHvhXmb+6jJiF2eDKOBt6sbf7iLsDw46ryAImHLiyb5tBYv+fhuJq6cjhcK0PvIC3ev6v4hXWc3E3XEVAB2bPu1zFX8ZbXwi1rny69P5xrp+jzEtmwdA1/5avE3dA9bZ9EExALMvTketkX/+kgqsfPWFVeQsicPvDnHwV29Q/cL2fs9PvkB2Jbo27kIK93+Drc2Wdxv7W5oI+/0D1vJlzDPkhSX3ruKIjlcnyhFXnvquiOeIJqJWTdoVssjX/dGmAb87BEHAfKYcWdq9e9uA4xlzC1CZzAS9Trrrjw06tyCIxOUvBKCxaWAR8lSgbd07lK9/moDHEZXxVBodKkEW/v1NY78A3Oua9x6tIOz1jfl8CgoKx+mNJD3dexgGutzsv/8VvPWdqOJj6DQUTnRJkxJ1fAwxV59P2v/dT4Mnp29hufyfn7Pnm8+x5zvP07KhBCkUHYHhVEZt1lH43XOZ+/vrMGTE4Gz18eIP9/D0fTvoqJs8i7X735U3qtoXZqO1T97+hb30uiCr9kxMLGnZllbaa9zoLWqS1oz/fd5osU5PYeHfbyVh9TTCIYmP/1LCo7dvpX0UAoLXGWDbC1X89dqNPHzjJnb9q4aAJ4QxM5a8+1az6Nl7yb3nTLSxU0OYmkpIoTBdxXV9/y0IAr5mB0GnD5XNgvmcZSR+/w7SHvwVid+7HcvZp4ZrXB1nJ/6ua0n5zXcwzCsi+/Yz+v7m73QT8g5jHew0Qp/cs0FfEQwVFBQi5NRXY05hRJ0W/fRcvMUluEoOo0tMnuiSooKnVhYMTVHo/TZVSF14AY6s0e1SVJnMiHoDYa+HYFMb2ozI3g8n7I4cRSRp9XPbCHS4ic82ceY9+cM6N/+MBDY+WkrHzkqksIQwgkbMgWE6DL1Hygm1dyHqDZgKZwx9whB4aqtwHNgDgkD6kkvHbddpKODDnS/HShjIIff7v0BlNOFrrKf2qUcIOR2obBYSvnMrutwMPPuP0v6P5wk6vAgaFTl3rST9qoUnPOeNHxRT/fx2PLXHb8hFvRq1WY/GrEdt0aGNN5N379no4k8UaEWNiuk/vQi1VU/9G3vpeOZNJK8P2yWrT6rduGAmppULcW3cReO/niPrGz9G1J4cLxl75lq69+7Ee6AEb0kl+sLsE/6ujrOjm5aD72gFzZ8cIfOGk2+IAg4v7Ztl9+D8yzNOrMOu5ZaHl/H+/x5k+/OVVPzzc+zzMrFOP/EzFL+yAJXxY4It7XiPlGOYcfL7XGW3IlrNhLud+JrqMWRkn3RMf1hmzKb1gzfxHq0g5HChsgx+Y90rGE5EJGkvyRfOovKpzQSqG/CVVKKf1n+0m3nFfDpffh9vbTW+5sZ+f6sElQrbouWEXE60JvuQc8fmL6Rh70d0OmsIBn2o1afmgnhj01683nYSZpwxZO/SSDHGptDl6sTX1CD3GRxDNHEJaGJiCXS04z1chnH+6L9rFRQUIqMvktR8asY2R0LQ7Wf/T17FXdWGKsZK0v33oEmIneiyJjVf7HVYURlLwBiPoK6l+2A9hw7Wo0u0kH71QlIvnYuoVZYSBsM+N4NFj9xK9QvbqX1+GyWft/DnKzZw7rensfwr2RPqUJMkif3vyGJD4hQRv6yz0mj+5AhVu9snZP4D78sCa+w5s1AZJmfE7FBoLHqKfnYxccvyqHjwQ6r3dvDQ1Z9zxb/NZvYFQ/exlCSJxqPdHHivgfLtbTQc7iIUlNcP1FqR2DOnkXrxHKyz0qaUA3Mq4WnoouHtfTR9dAh/u4ulz96DPslKZW0C2vMuJOmcILrC7BO+y09FtBkpJH73NppCQC1kp7dQ9tAnOEoamfGryzDnKkkCX0SfLLt7O+rGPmFGQUHh1ODU/hU5DTDMlXuEuUtPnbgvKRhE0GoxJZw6fRkjwVI1upgaQRD6XIbD6mN4Qg/Dke8abt9RAcA535yOWju8KM6MebFoDCoCnR7cNSO7CfS1DU8wdPfEZVpmzUXUjP6mz1UiRyPaM2eNW5RuR8U+Drz6nyfEX6qMJoKObuqe+SchpwNNejLJv/wGutwMvCWVtDz4FEGHF3N+Igv/9hUyrlnUJxZKYYmyRz7l6P9+gKe2A1El9L09wt4g/lYnrspWug7U0fLJUVo2lPRblyAK5H/zHDJvWgpA93sbBnwMsTdfiqDVEOhoxzeA40kbG491ruwoa/7D4/3GG5pWyLGk9W/s6dcR6SprIRQIY0nUkzz95N5tKo3IxT+bzewL5d3Lta/uPPkYvYbE1dMBcG/tP4ZTEAS0mfIN90CPpz80MXHoUtIgHMa9c2iXoaYnktTX6hjSATpWaKwGEs+RF5mcnw7sHlTZLBjmys9b976Tn9de4tdcSNJl1xKcN3QDe70tgfxz72L2Df/vlBULAQx6OwB+Z/R20xti5Od3OO/PkSIIAsZ8+bX3Huw/7ldBQSH6hMMSflePYGg8db8jB0OSJI498BHOY81o7AaSfnS3IhYOE0GtIv6e60j9v59gu+wcRIsJX7ODsr99yvbbHh3wOlDhOKJWTfatK1jwyK3Y5qQT8IR4978P8cIPduNzTcz1G4CnO0Bbtew0iVs6tpuHooVttnyNXrO3g1BgfJ2ukiRRtrUNgNjFU7v3qSAIJK0pYt7Dt2OdlYbPFeSlH+1hw6NlVOxoo+FIF+21bjxdAcIheX2ipdzJxw+V8KfLPuOhazay4dEyag90EgpKspvw62ez5IWvUfSTi7DNTlfEwigjhSXatldw4Bevsf3Wf1Lz4g787S5Ei4mKveE+R7guPxP99NxTXizsj/JjVtr2NeCp62Tv916kc1/NRJc0qTguGCoOQwUFhchQtgVOcfQ9DhdPTYUstKmn/kuafMX1JF12LZaq0yvyJuhz0/bZZnyN9aRef9uIxtDExuOtrSbYMgzRTRx9D8OQN4CnWr6Jylww/MUYtUYkeZqVmr0dOEubMWXFDev8cDCEv72nqXqcfcjjpVAI9265V5xl1vxh19sfaqsNTUwchtjxcfq2l++h4rPnIByma/c29KmySBkOBKh//jGC3Z2oUxJI/um9iCYDgfpm2h58AikQIm55HjN+eSmi5riwG/YHOfK79/oWf87+eiErbstDo1fhcwbwdMv/eLsCPHXvVuB4tEV/CIKAdYYsnKli7QMeF3K6kfwBEMVBI3kTLricQEc7nsoymv/4BLFfuQzLmuV9fzcvn0/XGx/ja+mi/s19pF+z8ITz9anyRbKr3UcoEB5Q1D7jzjwOvFdH++cl+NtdJ0XoxK8qoOGd/Xj2H0EKh/u9IdMkx+MtLiHQ1jrg4+kPy+wF+BrqcG3ejWX10kGPFa1mBL0WyevH29iFMXN4n5lokXLRbBrfO4BndzFhjxfR0H8TddPyeXj2HMJZvI/4tRdHZSHBltnrVjt1oy41Gvn9F/JF7+ZOZ+vZWDLM9+dIMebk07VjM96SinGZT0FBAQLeEL1J0SrD6ekwbPrgIM3rj4AoEPuN29GkJk50SVMWtd2K/arzsF6yGtfm3XS9uR5fSxchT+TR66c7xsw45v7+Ourf3EvF3z7h4IeNNB9zcMMfF5KUH50EgeGgN2sQVQLhkETIG0BtnvwbC0zZ8agtevwOL3UHu8icFzOicZytPj79eylZ82OYfeHQrjqAhsPddDV40BhU2OdnDH3CFECfbGPe76+j9KH11L+5jw//eKTf47QGFX7P8f7iaq2IfUke8WfkY52Vhj7ZqgiEY4izrJmD//bWCaky+lkFWFYvxTC3CEE9vI3apyqiQUfKb75Dy5+fwldSyf6fvErRTy4k4axpE13apECXKP/OdDUqDkMFBYXIOP22npxiaFITES0mpEAAb131RJcTNaw1AoJ4el38CIJA26cf4jy4b8Q9KTUxsmgQbB6GYHiCw3BkiqGrvAUpDOZ4HZaE/gWDoUiZLgs6ztLhP3Z/q1MWO9VqxCGiHKGnn5bTjcpoilokn33RcnK+93NSF1wQlfEGo71sNxWfPgvhMNZ5i0m86EpA3v3a9OZLeGurEU0GEr9zG6LJQLCjm6bfP0bQ4cVSlELRzy8+QSwMdLnZ96OXadlQgkotcPXv5rP6vmnoTGpElYDBpiU2w0TaTDsZ82IQen45LIWDi6O9kaaa5PgBj/EelPvVGdKzUOkHfu+oDEbSb70X67zFIEm0P/0G7c++1eeKFbQabJevBaDqua0EXSeKSLoEC2qLnnBQoqXcOeA8KdNtZMyNIRSUaHjvwEl/t89JR2XQEOp04K+q73cMdZL8OfS3D8PpC1jnLABBwHesikBz26DHCoKAOqG3j2HnsOaJJpbpyRgzYwn7grh3nPx89WKYO73HSdqG7wuO2C8jhcN4qipoLem/j2R/dOXpRtV/dTKj0cg9hYI+V9TG1PcIhv624b0/R4ohU96JH6hpJOz2jsucCgqnO353j3NJkCPFT0e8TXKPX/tV56EvOH3aHIwlolaD5eylpP3uh8TefhWeorP6/ta2tZyO3VUTWN3kRxAE0i6fz5w/3IA23kxLhYuHb9zEvnfqhj45yogqAXO8LBL6Wge+Lp5MCKKAfZ4s1pVvG9mmpyOfNvH3q9ez9blK3v6vgxFfPx76uBEA28JcVLqpGUfaH4JKJP9ba8i950ws05MxZMSgiTGeEDfs94QQ1QKxS3KYfv+FLH35Pmb++jKSzp2BIcWmiIVjwBd7xepT7AQ63QgGPZbzziD1dz8g6Yd3YVw4SxELv4TKbOx5bmYiBUIc+u3b1L22e6LLmhToE2TBsLvJR3gUbYgUFBROHxTBcIojCAL66bLg4a5Q4r6mMiqtAWtKAQDOwwMvvA+GJrZHMGwZXGz4IoIgHBcNR7jo7jgmi3wpRbYRnQ/0xUQ6S4e/iO1tdgCgjovspqVX2DAXzUZQTa0L7bbSXbKzUJKwzl9C0hXX97ncOjaux7FvF4gi8d+4GU1yPGGPj+Y/Pk6orRNDWgyzf3sFKv3xG11PfSd7vv0C3Qfr0Vs03PL3Zcy5eOBI1caj3Uhh0MaZT+pf+GXcPYKhejDBsFj+3jLmD737T1CrSbryBuLXXgSA46NNtPzpKcJeWRw0r1yAOjmBYLeX2ld2nXiuIGDKketoKukedJ7F12cD0PD2/hNu2ECOlopZKP/ds/dwv+drkuR5huvgUlttGHMLAXBt3jPk8ZqkXsGwa1jzRBNBEEg6V3b6OTfuGvA4UafFME+OL3UU7x3wOF9jHTWPPkj11tcIBYZ2DjYf2sih1/6PltaDwyt8inBcMIyew7BXMAx2dRAOjL07pNd9jSThK1UWkxUUxgO/W3aDqPSa03YxN/u2M0j+xdexXnTW0AcrDAtBq8Fy9hIEUaSyNoGwP8ixP61j/49fYf/9r+AsH58NKVMV64xUFv7tFuzzMwl4Qrx8/17e+m0xQX9o6JOjWUeivFHP3zY1BEMA+zy5ZUn59sjvdQF87iCv/3o/z3xzJ+1t8rW9q92PszWylIpewTD+jJP7l091BEEg4/rFLPjLzSx5/E5WvPx1Vr37HVa9912Wv/J1ljx5J8tfuY/Z/3kVSefOQG2a/G7UqYqzrJnD//Uue77zQp+YXdueRvz37iL9gZ8Re9OlaJKV3nyDIWg1xH/jZsznLAMJSh/6hMqnt0x0WROONt4MAoQCYdztSjqAgoLC0CiC4SmAvigPODUEw7ZPPqDyz7+j5fDmiS5lQrBnzQLAMVLBMEYWKoblMIQ+wXCkDkPnsWZgdILhcYdh87DdQr5mWQBSDxJ92YsUDuPeJYsL5plzh1dkBDiyxm5hruXwZio3PC+LhQuXknT5dX1iofPIQVrXvQtA7E2XYpiRjxQO0/r3FwhUN6CxG5n9X1ehsRmP13qsieLvPI2nrgN7qoG7nj6DnMUDi3sAdQc7AbAUDhwf2ounbnCHoRQO4z0kOwyNeYVDjgfyTW3smWtJuf42BI0az74jtD/zpvw3lQr71ecBUPvKTvydJ4osvc3PG48OLhjOOC8FY4wWX4uDtq3lJ/09brm8SWMgwbDXYRjoaBt2X1DrPDlK1bV5z5CfA3Vij2BYF73+diMhae0MEMBXUjmoM9K0ZA4AjoN7B3xsupR0NDGxSAE/3bX9RyN9EZ+jHU97A62tQx87FVGrDQAEvdETDFU6EzE5c7EvPwspOD79k3qd3N6SynGZT0HhdKfXYXg6xpH2XstW1iagy886LXs5jTeVVTFo585GUIt07Kpi171PcfT3H+CbQkLUeKONMTLnd1eTefMyALa9UMU/bt1CR/349ZeyJk4thyFATE8caPWeDgK+yATWmn0d/PWaz9n5Sg2CAHfeayIrR94w2jDEPQFAa5WL5lKn7LJbNjX6PUYDUaNCazdiSItBbR5ZgpDC0EiSRPuuSvbf/wq77n2a5o8P4zjSQMlGf19vQn1BFqLu9Ps9HymCKBJ7y+XYrz4fQaPCNittokuacES1qq/VihJLqqCgEAnKHdQpQK/D0FtTSTgQmOBqRoe3oQ5/azNSeHx3WE4W7Fmz5EjCuhoCXcMXAbS9DsO2TqTgMJ5DsVcwHFnfSGePwzB1xsgFw8QCC6JaIOjw4utxDEZKr8NQFUH/Ql9JJeFuJ6LBgDEnurtEa5/6O2X/8yvc7f1HVY6WDmcFSBK2xStIuvTavkUwT00VDa8+DZKEefVSzGvkxYfOf32IZ89hBI2KWf9+BYZUe99YjqONHPrxi7g7/KQU2bj7mZUk5g3dQ6W+VzCcFoFgWCsL15qk/ndC+itqCbu9iHoD+tTh9QOxzJxL2le+CoBr4y585XJjc+OiWWiz0wh5AlQ/t+2Ec0y5kTkMNToVC66UdzDXv7n3pL/HLskFAfxV9QTbT3b3qeNiQBSRAgGCjqEXIr6IuWg2gk5LsLkNf9ngMdO9gqG3YeIchiDHvcYskOPeXJsGjn3Rz5mGoNcS7OzAW9v/YxMEAfPMeQC0l+8dcm57Tx/DtrYjSNKp1/e212EYzR6GgiCQe86tJF54OSqDcegTooAhS44l9Sl9DBUUxoVAT78pUX/qROdFQsuGEvZ+93m8jRP7u3i6IRr0xH7lMlL+8wcYl8wBCRrfK2b7bY9R9cwWQt6pfX86VggqkZw7zmDWf16FwaahrriLv16zkaMbmsdlfssUdBgaMmLRxpkJ+sPU7Bv8XjkUCLPuL0f5xy2baat2k5Iq8sQLsfz451ZmzpK/G5tKhr7nPNzjLrTOyUBjUYQzheggSRJtW8vY863nOHD/q3TsqgJRwLh0Lsm//ha6nIETfxSGRhAEbJeuJvU/f0DM/MyJLmdSoEvo7WOotIhQUFAYGkUwPAVQpySgslmQgkG8tVM77svfJAsthtiUCa5kYtAYLJgTswFwHi4e9vkqswVBrYZwmGBb5IJjX1zVCAyGYX8Qd5UcvZgyCsFQrVWRkCtfxDhLh3ej3OcwjEAw7IsjnR79ONKQy0nI6cDvGKbDcwAkSSIc9OPIEnBkCSRedCUJF1xO4sVX9YmFvuZG6p77B5LPj35mPrE3X4YgCDg376H77U8BmPbD87EWHf9MdR9p4NBPXsTrCJAxL4bbH1sece/J+oPyIpy5YHDBMOQJ4GuRFyDUyXH9HuMp7nEX5haM6LUw5uRjnbcIQO5nKEkIgoD9GrmPZP1b+/A2HRfsTLmJwNCCIcCia7MQBOjYVdUXrdqLNsbY93z25zIU1CrU8TEABNqHF0sqanVYimQnnnOIWNK+SNK6zmHN8WVcVW2UPLBuVBFiSefNBMC5afeAGw9ErQbDPFngGyyW1DJrHgBddYeHjCU1J+Wg0hoIBN10dU3t37/+SIifyZwbf0XeuXdOdCmjotdh6CuvRQqMj6tRQeF0xt8jGKp0p0//wpDHT+lD6+k+1MCRl05OB1AYezSJcSTcdxNJP/862rxMwt4AlU9s7ttYqNA/cUtymPPX27EUJuHpDvD0fTtY9+BRwqGx7TPVG0k6lZyggiBgn9/bx3DgVAtJknj22zv59OFSwmG49Eo9b3yQwNLlsquysEgWDCNxGB6PIy0YbfkKCn107Kik+Bev4zjSiKhTYzl3BWn//SMSvn4jumzFERct1AmxfU5NT10Hta8O3ELjVEcX3yMYNikOQwUFhaFRBMNTAEEQ0J0CfQxDXi+BDlloMcScnoIhgD17NgDOQ/uHfa4ginKvKCDYMgzRqkd8GkkkqauilXBQwmjXYEs2DPv8L5LS18dwuIJhj8NwiEhSOY5UFmLNM+cMv8Ah0MTIIpHfOfqISL+ri7KPHqVk27N98Y0qo4mYFWf1iYWBjjZqn3yYsMuNNjeDhG/dgqBW4Sutpv3xVwDIuHEJSWuK+sbtOlTPoZ+8hNcRJHNBLLc8vAy9OTIHgtcZoK1SXlQYKpLUUy8/B6LJiMps6n+8gz2CYQT9Cwcifu3FCDot/rJqXFv2AqCfmY+uKBcpEDqh0bkpOw5BkHuWOFoH31kXk26kYJUsMDa8ve+kv8ctk6Ogh4wlHaZgCGCZK4ug7m37BhVX+hyGTV0n9VqMFF+rg/0/foWGt/dx5CcvjDjeNP6MfFRGLaHWDnyDxE6alvR8vx3cN6CwqEtJQxMbhxQI0FVzaNB5BVGFrcdl2NQ8/O/MyY5arUNjtCKqor/oH3K78I/g/TkSNHEJqExmCAbxVdSOy5wKCqcz/tPQYVj13Db8bS7UCbHYLlk90eWc1ugLskj+xdeJ//qNWM49A9vs406ZL8fFK8jok6zMe+AGUi+V2yV8+kgpj921le7msXOC9DkMp1AkKUBMbx/DQQRDR7OPks9bEEX4w1/s/O+fYrDaji99TS+Sr6uGchg6WrzU7OsEIP6MvFFWrnA6I4XCuGuPr8/ELMrGUpSC9aKzSP3fnxB782WoE2InsMJTm7LDRnZ/6znK/vYpDe+NrP3PVEeXqDgMFRQUIkcRDE8R9EU9PbWmsGDob24AQGO0odb3LzCcDtizZiPqdKitthFFhGpiR9DHsNdhOIL5HF/oX9jnVBwhyUXH+xgOB2+EDkNfWTWhTgeiXo8xN7KeecNBY5cv8j3tDYRDI3PRSJJE27GdHHz9f+mqOYz72GH8LSfvzA46uql98mFCjm40aUkkfv92RL2OYFsnzX9+CikQIm5FHjl3rOw7p6u4jkM/eQmfM0j2oji+8rel6EyRCxGNh7uQJDnOQhsz+GfU0+PKUw/QvzDs8eLridw0Rdi/sD/UVhtxq9YC0Pnye4R9fgRBwHr+mXLN7xf3RWGp9Br0abKoG4nLcPH12fIYHxw8KU4rbrm8aOA9XErYd3LjcE2PmOdvG75rz5iTj8piJezy4B0kwlEVYwW1GikY7ovlHQ4hj5/iX7zeF0Xlavez/6f/wt/hGvZYKr2GhLNk4de5ceCdm4ZZhQh6HcHuzkFjSS09saQdFSeLtV8mNm8BIAuG4bDiXouEjor9lP3u/9H46nPjMp8gCMddhkosqYLCmNPnMDxNBENPfSe1r8i/PTE3XoygPT0e92RGEARMS+cSe/Olfe4OX4uD7bc+ytHff0CgSxEOv4yoVVPwnbVM/+lFaI0qKne289A1n1O6eeQJEIPR5zCcYoKhvSdesLa4E5+r/+u+thr5WjY9Q8VFl528oXVaj8OwrcJB0D9wG4/D6+V7MMv0lD53joLCcJAkidaNx9h5z5Ps/e6LffeUVfWJxPz428RcdyEqq3mCqzz1UVlMmM5eAcCxB9bRsWfw1h+nIkokqYKCwnBQBMNTBP30HrdLXRXhwMmL11MBX5MsGJ6ucaS96CyxzL3xN6Rc85U+J9lw0PT2MWweeNfllxH6ehgO32HYK+4lTx95HGkvKT1juCqGd2Pc6zBUxw5eg3un7C40TZuFqI6+Y0cdIwuGrSXb2PPUTznw0n9Q+uGjVG16hfo9H9J6dBtdtUdwt9efELXod3VStfFlSt57hAMv/juVG54n7PWgS80g8+s/QJeYfNJcTW++TKC9DVV8DIk/vKvPxdfxwjuEu52YchMo+ulFfa8twNH/+wC/O0TydCs3P7QEnTGy50CSJIrfr+P1X8riTST9C9u2yaKAZgDB0HuoFEJhNHEJfa7YoQh5PXhqTo6dtC8/C01MLKGObrre+BgAw5xC1AmxBJ0+mj8+7gI058qLVr3RqoORf0YiMWlGgg4vLZ8dPeFvxuw49MlWpEAI7+GTo896hdKROAwFUezrr+k7NnDMpiCKaBJ7ROr64TsDq1/cgbO0GVOslrufWUlMmhFvfSf7f/wK/o7hL+Qlnyc7/Tw79/crogIIWg3G+bLj1XloYDHQ3BNL6uysHbKnrTW1ALXBQjDooa392LDrnsyEQgFqtr5OxafPjbjHbH/orD0O2BEI2iPluGBYOW5zKiicrgROM8Gw8olNSIEQ+pkFGObPmOhyFPqhsjaBkveaCbn9NL5XzI67nqR189Td6DqWJK0pYu5Dt2LKTcDV7uep+3ZQs3/06SVfxpYkC4buqrZhb9acSPRJVvQpNsJBifJt/V9nd9TJkXvpGf23PEhOEbFaBYJBaK0ceKPcwXU9caQro9v3XuH0wF3bwYGfvMrBX7+Ju7odKRSmdFuwbxPFaDdbKwwP25XnYlw2FykU5tBv3hrRJtmpzHHBUIkkVVBQGBpFMDxFUCfFobJZIBjCW1cz0eWMiEC7LHDpbQkTXMnEM5r4OU2PaDWsSNKe/nEjiTV018jzJBWMftdlb6TpcMSKoMtHyC2LE6qhHIY9C9WmwqJBjxsplhlzMRZMRzQYIBzG7+qkq+YQrUe20LD7A6o2vkTpB//g8Gu/p6piXV9vQmcqtB7diqO+hICrCwSBuNXnk3nPt/sVC33NjbiOHgRBIPF7t6OOkaNcpVAIT3EJAIXfOxeVQXvCebGLsgFoLnVQsT0yIatiRyv/uGkjL/9oNx21brSxJjJvXjboOc3rD9P04UEQwLxyYb/HuHb0RMNOG3hhL+Tx0PjGi/ia5Zv1ru2bqPnHn6h5/G+4y0r6olpFjYaEC68EoPv9z/FV1iKIIpZz5Drr3tjbd2zvruQj6xuHfOyiSmD+VXKflMYPT4zGFAQB2xz5b/6Kk79ze8XrYPfQwmR/6NPlOv1VdYMep+rplegbgcOwY0clAOd+bwYZc2O45ZGlWBJ0uCpa2ffDl4Z9E2WdlYY+2UbYG8Cz78iAxxkW9PQ7PDpw3KguOZXMr3+fnO/+HEEcvL+lIKpImLaM2PyF6HXWYdU82ZGkMM0HP6e9bBdSFN2TOov8OxFyuwj7B+8TGS306VkA+Crr+j6PCgoKY0PQ1xNJehr0MPS1Omn5TL72sV97gbIAO4mxnLOMpJ9/DU1aEoFONwd/+QZH/+8Dgq7x+R2aShgzYpn/4I3ErcgjHJR46cd7B3TTjZT4HBO5y+QNRMW/emNKuT7jz5AFvL1v9X+d7HPILi57TP/LXYIg9P3NP8Dz6mz19QmSCWdGP5lG4dQl7A9S+dRmdt7zJB27qhA0KqyXrCblv3+CLi9zoss7bREEgfg7r0GTmULQ4eXYn9adVvckujh5g7mzVfnNVVBQGBpFMDxFEAQBXWE2AJ6qqRn3pTKZ0aWkobefLJCcjkiShL+liXBweDeHGnuPw7A18p2ogqqnh2Fw+IJhb/RkXNboozQMdnknfNgXJOQLDHG0TG+MjmjUI+q0Ax4n+QP4q3tcrD0L19FGbbGSfstXyfvJb8n5wS9Jv+WrJF52LbFnn4d14VJMBUXoklNRmcwEO4+/PmqrjdizziXpihtIv+M+cn/0a+JWn4+g6l8o6dj0KQDGBTPQph13+/mr6pE8PlQmXb89BvO+fjaJq6cTDkq8+P1dlG7ufzexzx3k8McNPPuNbTxx5xbqijvRGlVk3baCJU/eiaVgYIehu7adkj9+BIDt0nPQF53c7yPsD+DZK4tF5p7oyf7o3L6J7l3baH7uacyVYVRNbhBFPBXHqH3yYWr+/iechw8gSRLm6TOxzJoH4TBtj76KFAxhWrUIUafGVd5C1wF5QSF+ZT6CCHXFnbTXDC2Izb00HUGArn01eBtPFP8sBXKPQ3/lyYsVKrssXAUdwxfyAHTJcrP73vfsQKh7+nb6moeOWP0iQacP5zFZNM1dJrsh47LM3PH4CqyJetxVbez7wUv42iKPqRIEgYTVciypa+veAY8zzCoAlUigrWXAyFZBENCnpEfssk5deAE5Z91EeF5uxPVOBcQviKXh0OBOy+Gg0hoQNbKzINDVGbVxB0OXnAIqkXC3k1D7yIR0BQWFyAj65es5UXvqC4aN7xcjhcLoCrLQZadNdDkKQ6AvyCblV9/EeuGZIMiv386vPkXnfqW/7ZdR6TRM//EF6BItdNS6efs/D0Z1fEEQuPH3C4nNMOJr6ubQb98ZcU/s8SbpPHnz2ZFPmnB3npxq0RvLbDAOvIFA3WPADgX7FwwOfFCPFJbjSA2p9tEVrHDaEHT52HnPU1Q9tUV2vs8qIOW33yPmmvMRjfqJLu+0R9BqiL/7WgSVSOvGUlo+PTr0SacI2lhFMFRQUIgcRTA8hegTDKtPjsebCsSuXE3W139AwvTB3UunCw1/fYjKB/8bT2XZsM4bjcMwPEzBMOTx9/U/i80afd9JnUmNqJZv7IKOyLLVfS2yIKMaIo7UX10PoRAqkxm1PWZ0hQ6BIAhobHaMeYXYFy0n/pwLSL78etJuuYes+35I3v2/Ifmarxw/XhSJX3MhtgVLMObkozYP7NYMdnfRvV/u02O98KwT/uY9In/27XPS+0TgE+pSiUz/yYXEryogFAjz/Ld3ULFD3jnbUedm23MVPP21rfz3yg944bs7KdnQjKgSSL1sLgufvIfsW5af5Fr8Iq2bS9n3w5cJeQLopudiu2Jtv8d5DxxF8vpR22L6nHRfJuz307nlMwCSZq9GEATSl1zK7Gt/RsKMlQhqNd66auqff5y2j98DIOGiKxFNRgI1DXS/vwGV2Yhxmdzfrv71PQBoY0zY58uC8Y4XKwd8LL3YU4xkL5EFtaZ1JzrizD2ibH8uwD7B0Nk9oihJXXIqAKG2TkLOgYXN3r6dw+1h2FVchxSG2ExTn7MXekTDJ1ZgS9bjrm6XRcPWyMdOXD1drufAUcKu/uNORIMefWEOAK5BXIa9SJJ0Wu3+/CKCcFwwjKbDEEBnlr8Hv7h5YSwRNVp0CXLkuL9SWRhWUBhLAr5ewXBwh/apQPq1Cyn8wXnYLu//mkNh8iFoNcRcfxFJP7kXdUIsvqZuWj8vmeiyJiVqs57pP70IQYQ9b9Ry4L36qI5vsGm4+c+L0BpUdO6ppvzRz6M6/lhhzk3AXJBIKCix/92Tn5OAVxYM9YZBBMOee86BBMPecRPXTB9tuQqnEeqejbsqu4X4+24i8Qd3oknqv0WHwsSgzUzFeuk5ADS8e+C0uc/sFQz9nhA+d3TvKxUUFE49FMHwFEJXkA2At7oyqr2OFCaG3mhW19Hh7SbV2GXBMOz2Drhg/2WEvkjS4TlY3D3uQmOMFqNtYCEpUgRBwGCVt3sGuiMTDP09DkOVfXDB0FcmN7bWZ2RNiriqkdbQse1zCIXQFWajyz9RbPMelsVl+7yMgedViRT97GJil+US9IV57hvbeejKT3nggo9597+KKd3UQigQRp9iI+3K+Sz85+0UfHst2piBBWF/u4tDv3mLg798A3+rE3VSPPH33jCgO8y14wAAlplzB3weunZvI+R2obXEEps7r+//a80xZC6/ktnX/YKk2WcD0L5xPd76WtRmC4nnXwFA5+sfE6hvxrJ2OQAtG4/1ictpV8ki4q5Xq/E6h3ayzrssHYCmjw6dcENhzk0EUSDU6SDYeaLDT2XrcdyGQoQ8w494UukNfb0dB3MZ9sbwDjeStHOfHKOavfjk/pGxGSbuePwM7KkGPLUd7P3+SxHHBJtzEzBmxyEFQrh3D/zdZZgrL764Sg4PeIwkSTS9+TL7Xvo3fN1DR+hKkoS7rY6Gxj0R1ToVEAShTzQcqpfjcNGa7QAEusZHMATQpcmfJV/F4FG7CgoKoyPk74kkPQ0chiqdBt/sc2T3usKUQj8th5TffAfb5WvIvefMiS5n0mKfnU7GjfKG2jd+c4DOhuj2n0oqsHDVb+cCUPvSTpo/GThWfqzwNnVz7MGPadteEfHifXKPy3D36ydvQuoVDI2DCobyv/vbMNte46ZmXyeCCIlnTYuoHoXTE0mSaP706AmpLNqrriX1v36AacmcSbHuoHAytkvOJuYrlzH7P686bV4jlUGL2NPb2tGiuAwVFBQGRxEMTyG0GckIeh1hnxd/8+AxdpMNKRw+bXb2RIotU+7t5io5NKznRtTpUJlksSLYGpnLUFD3LEgHhic0H48jHb27sBdDj/AYjFAw7HU/qWMH713mK5MFEn3a2MSRjgdhn5fOnZsBsF6w6oS/ScFQX4/GwQRDAFGjYuYvLyVmYRZ+T4jmUgeiSsA2J53cr57J4sduZ8lTd5H/jXMwZsQOOI4kSTS8d4Addz5Oy4YSEAWsF51Fym++3ddX8aTH4A/g2SOLROaZc/sfNxTqi11Nnr263x52GoOF9CWXEpMzD11iMoIoX+hb5i7EmD8dgkHaHn8VTVoSumk5EJaof3s/ALGLczBmxuJzBtnz2tA9X2esTUFrVOGp66T74PFdzCqDpu/5+XIsqaBWI1rkz0XIMby40F50KbLLMFA18G5ydZwslA83krRXMMzpRzAEiEk3csfjK4hJM+Kt76Tm5R0Rj93rMnRt3TfgMYZ58jHuqjLCvv4/64Ig4G9rJeR00F079OKVt7OJw6//gSPHXiMYjOz7YyrQG0sqhaK7E1RrGl+HIYA+tafvp+IwVFAYU/oiSTWntsNQuXeY+ogGHfYrz6W6WXagS6Ewxf/vdVo+O31i4iIh65ZlWKan4HUEefVne6P+3p91fgqr7pLbCJT+4X2c5f1Hxo8VKr0GlV5D8S9eY+93nqdjV9WQjzHxnOmo1AL1h7poKT8xQt/vHtphqNEM7DDc/658XW+fn9XnylFQ+DK+NicHf/UGh3/7Nsf+tI6KmngqaxNQWUyIBiV+dDIjqNVY16445a+TvozSx1BBQSFSFMHwFEJQqfocR+6qqRVL6muoo/S3P6H+bw9NdCmTBktqAYJaTaCjHX9L07DO7XUZRtzHsCe+crg9sjx18vjx2aPvX9iL0d7rMIxs92xvD0NVTGQOQ8MAEZhTga5d25A8XtTJCRjmFZ3wN39lLZLPj9qqx5STMORYolbNzH+7nNx7z6Lo5xez7JX7mPeH68m4bjHGzLghd9p56jrY/+NXKPn9hwSdPrRZaaT86pvEXHfhoL0kvQeOynUOEkfavX83wa4O1AYLcQWLB60ja+U1ZN77vb6ef4IgkHTZNQh6Lb5jVbi27MGydgUADe/sJ+wPIogCaVctBGDrs+WEhoji1RrVzDhXFu+aPjzRNdfbz7H/PoZytGzQMbJ+bZH0MeztYehtdiCFI1s8Cjq9uErl75TsxQNH5NhTjVxwv7x7u/G9YkLeyPqK9sWSHi4l5Og/TlWTnIA6KQ5CIVxlA8eQmQrksboiEAz19iT0tkSkUJCW1oGdi1ONXodhOMoOQ0taIfZlqzBk5kR13MHoEwwr6pSFfgWFMSR4GkSSdh9pYMedj/dtBlKY+lTWJlD8fBVtW8o49O9vU/KHDwl5Irv2ONUR1SqKfnYRGoOKih3t7H0z+k79c789jfwV8QQ8IQ7+6o2I78WigcZmwJBqR9So6D7UwP77X2HfD14atLelxmbEMktOLqjcfeIm2cgiSeV/f9lhKEkS+97piSM9Z3hxpEGnT7m+OQ2QJInGD4rZedcTtG0uQ1D/f/bOO8yN8lzf94x625W29+Leu7GxAdMSMKGGGshJCIE4pJDeTtoh5UfOSUhO2oEQCD200GvoYIrBvdtre3tv2l31Or8/RtJ6vZJWu6utnvu6fNneHc18kkaj+b7nfZ5XJJhXCcp7P+WobcwlHAjR8tIewoH0zrUmIxqbIhgqKCikhiIYTjOifQy9dTUTO5BhErB3IQUCaY9cm8qoNDosBbOA1Pp8HU9/H8PUBMNYJOkwexi6x9JhmHIPw6EFw1Cvg1BXDwgCuuKpKRi6jh6m8y25V1/G+acPivv0Hoz0L1xaGnPbDYVKr6H0ylXknTUPjSW1KshAn4eae99n200P0LOzHlGnxnr1BRT87Ctoy4uHfh4fR+JIF8WPI5XCYezvvQlA/sIzENWa5M9BayCjsf+1kMJhNNYssk+Texn1vfQuhmXzUdkyCPS46XhHFqfyPzEfdYaeniYPh95sHXLc0VjSjveODIwlTaWPoWN4caFRdIVRwTCxw1BlywRBQAqECPSmFhvas1fuX5hdYSIjL/n7PueMfGzFRoIOL+1vpCbCGYqsmGbmQljCsyexQyAWS5rk+maaIwvjjtajhIPJFw0FQcAWia9tb58+C8iiKK9oDTcyeihsFYvJu+Cy2Gs8HmjzC0GlIuxyE0q1oEVBQWHYBHyRSFLN9I0kbX5mF54GO80fDx1ZrTB1MJ+2kowLzwJB7i2146sPjbvbbbJiKLJScq0ctf/K7Qfx9KZXTBVVAlf9djm2EgPell4O/vpFpNDYtjk5/p7at/QcCv/7+1g+sQ5Bo6J3TyO7v/0Yu7//BH2H4t+rZyyQC/oadg28p/B7IpGkxiSCYdRhGBgo8rQedtBR7UStFclZnzzquOuj6lgUZaDXw65vPsrRP7+RchGfwtTD29bH3h89xeHf/lsumq0soeDnt2C99NyE7TgUJjcff+MZqn7/Gs0vJE7HmS5EHdOOzumTxqOgoDA2KN9o0wx9pI+hu656SlW3Bbq7ANBZ4sfjnaxklvbHkg4HdUwwTC2SlBEKhrFI0jQ6DKOCYeoOw2gkaWLB0Fctxy9qc/NR6adePIhj3y6aHr4byedHv3A25tNWDNomlf6FoyHQ56Hmvvf56LN3U//wFsL+IPoFsyj45bfI3HhGTHRORtgfwLNriDjScBjLkpVosnPJnb8u5fGZqgN0vvkKTQ/8DSkcJnP1egS9jkBTG74DR7GcJfd+aXpW7m+n0mkoungZAB8+MLQju3R5FmqdSLDPGzvvASyz84CxdRgGWjoI++MvCglqVew43rbUhMneaP/CVUNfb0WVwOrPVADQ9MzOlL9XstfKsVbR+Nl4xATDIwcT9t3V5uajzrQiBYM4Wo4Oedxov8su+xECgeH3jpyMrFpxM4uv+RkGW/5ED2XUiGo1unw5ds4X5zOjoKCQHmKRpNO0h6Hf7qY9ElkZTRFQmB4IahW2K84j73s3orJacNd3s/Pr/6TtteHNhaYrJVeswliWhavbz+t/Tn9sqzFTy3V/XIXGoMK+vY6ae99P+zGOx76jjl3feZzeffI9gdqaQdZ1F1P039/HfPZaBLVIz456nEfjp+1kLJDvKRp2DxQMYw5D/dAOwxOTRmJxpGtmojbr4j5WCkvUPfQh+378NAd+8Tw1tTaOvNWHq66T5ud2c/h3/x5zsVVh/Ok90My2Lz2AfVstolaN9aqNFPzkZrSlBRM9NIVRYFq3HIC6Bz8k6JzezjutzQgoDkMFBYWhUQTDaYZ2RimoVIQcfQR7UhSLJgEBuyIYxiOzVHZ+eOprCLnjR/vFY7iRpEIkknQ4ExtJksaoh2EkkjRFh6E/FkmauIdhNI40UQTmZMZ5cB8tTzwIoRDGU5aQ983PI6gHLgBKwSD+o7UAZMwvSuvxpVCYpqd3yELhQ1sIuf1oSgvI+ep15H3vi2jyUv/MxuJIrTb0CZyeolpN9oZzWXzJ91FpUxd3gx4H9g/exl19hN7tW1AZDFhXyFXYvS+/i/nMUxA0KhyHWmNVysUXL0OlEWnYbadxb/LPilojUrzQCjCgj6F5Vh4IELL3EeodKNj1OwxH1sNQnZGJymiCcJhAY2IXpDpbHleqfQz7+xcmjiM9nhWXlqIxqHDVdNK7O7Xec9mnRgTDfYeRAvF77+nnViLotYScDnwt8fcrCMKwY0kNWUUghWnv2JfSWCc7er0VrSkzbi/P0SBJEiGXE29zQ0LBdizojyVV+hgqKIwVIf/0jiRteXkvUiCEdkYpuhljUyilMLEYFsyi8BffQL9oNmFfkEP//TK1D3ww0cOacESNilm3nAPAx4/V0XZkZCkWySiYm8Flty4BoOHRj2l4fOuYOeYaHt1K7+4Gjr04sKe4OiuT7M9dStFt3yXj/DMoOG9R3MdnzJcFw44aF+5ef+znUcHQkMxhqJZ/Fz6uh2HQHzoujjR+AkPv/iZ2f+8Jau+Tz8dwvjynMa5aRPZNV4Mo0Pbqfo797Z3ET1xhSmKqyEGToUc3q4yCX3yDzAs2pFQ0qzC5MZ++CnVhLsE+Lw2Pb53o4Ywp2my50N/RoQiGCgoKyVEEw2mGqNOirZBdKZ4p1Mcw0NcDgNZkndBxTDZ0liyKVpxP0bVfRNDGr3CMh8YmizipOgwFjSzShf3xF/bjEfIEYhVY1mJjyo8bCp1ZFsNC7qFjdsKBEIFe2YkYFWfiEe0BF12oniqEfT7aX3wSJAnT6avI+fI1CHHjxQQEtXw5P/qXN1KOphwKx5E2dn79nxz961sxoTD3a5+l8NZbMK1ePGSfwxOJOopMs+YN+VhBGN7Xk9Zso2TFBQB0vv4iQZcT66mngyDgO1SN5PNjWCkvNnS8LQtP2iwTWafJUUOH3ho6ljR/rnyOuZv6xUWVQYu+QHa3BloHxqKpLLKQHh6G2H88giCgzZcF4EBT4j6mqkgfw2g/z6HwtsiOx4J5iT8zx2PI1LLkU/L3SvOLqUW1WObko7Eakbx+fNX1cbcR1Gr0C+TYZXeSPobGWbJg6Gg+ktKxo7GkHR37k294siNJHPufn1N/5x8IuVI7d9KBrkiO903Wm1NBQWF0RB2G0XuD6UbnZvk7w3LmKRM8EoWxRJVhJu/bXyDzknNQW/SxYqSTHduyMmyrKpAkOLZlbCJ5l1xQxLr/kHscV9/1Lnt+8C98HekXJ0MeWeRT59ji/l6dm4XtmgsQNfFFGU2mEUOp/Nj6nf3357FAjCQ6ZzAiFIqq/jnJ7heb6WvzorEZyV4zsMezr9PB3v98il3feJTe3Q0IGhXZN1xO9ucujRVzmtctJ+OTpwPgae5JfHCFKcPx6yNqo5bs73yZ/B9tQlOQO4GjUkgngkqF9dOfBKDlxT3DWhObamitBgBcdv8QWyooKJzsTM9Z5EmOfq58c+uunTqCYcgpT0A0xtQWsE8mCpd/AvPcBYjq1GOlYj0MO+0pRQgK2ohg6Ev95ihgl0UQjUGFzpi+yCuVJuJ2DA7dryvQExHGVCKiyZB4u4g7KxqFN1Xofvd1gn29qHOzyPqPSxL2RRDUKnK+8QXUZh19B1rY+Y1HRzVJ9TT3cPi3r7Djqw/jqGpDZdKR9blLKbz1FoyrFo24P0NUwNZkJXa2+bs68NRVE/QOX8DInb8OQ1YRYY+HztdeQJNpw1AhLy65PtqDafViADo29/chzFodWQxJYcHFnCOL9oHugQKgPj/iJOzqGfBz0SA7JMO+kVfw6fLkGMpAU3vCbVSZciSpv2vo10ySJIJueYKgMyfvD3k8q6+qAKB7cxX+nqEFaUEUsC6XBXrvgWMJt9PPl98fd03iuFFjxUx0BcXo589NyQlnK5ff5z5vK+Hw1J/w1dS+QcNHz+F3prfnnyCKqHWyqB10pn8RMBHR63CgUREMFRTGinBI/o4T1NPP+eDrcuI8In8nRqOtFaYvgihivewTFNz2PSyzp340d7owRyLxO2vGruBn4/fnc/FPF6ExqOjZWc+uTf+g7Y2DaW17EnUOOt78MOk9Xm1jLt62Pg786gX89oH3odbFciFSzdau2M90Rvna53IlHmtvj/y7aLoNwKG35AK9oouWDoh0liSJw7/9N90f14AoYD5jNUW3fRfzGasH7dcfub+xLZ96yTYKA/F1Odn59X/GWlrUNuaizrEprsJpiHHFAlS2DAK9HjrfS61IdSqiyZTXzNw9imCooKCQHEUwnIbo5lQAU8thGF2s1BgsEzyS6YEm0waCgOQPEO4beiIZFQxDwxAMo5M1c1bqzsdUUEcEw3AKgqE/ItyoMswJRaywx0uoW3ZUafOmTn8Bf2c73R+8DYDt2gsRtcnFHf3cSnJ/9BVU2VY8jXZ23vIIjsNDu+aOx9Nk59BvX+Hj6/9B67/3Q1jCeMoSCn79HSxnrx11I/dge1QwTBxj2vrUIzTc8xccrTXD3r8gqihbdzkAfTs+xlNfQ8YSud+ja8su9IvmIOrV+Nr6YouN0cl88/4ePH3JXa3mbPlcP3GhQpcrX7dC3T0Dx6OXtw/7Rt5UPHrO+puTOAwjcbz+rqGdjGFfECKxUlE3byoUzs+kaGEmoaBE26upOfeir633QGIxUD8vEl1aX4sUjH/9URlNlH/lO+RtvDSlc1BvzWPup77Kkmt+iihO/f5dzc1bad/3DkHvyJyqyYh+54bGUzDMKwRBINTjIJTC95OCgsLwifbkikbOTyfsW2sB0FaWxApmFKY/KrOJ2kbZ0dO7v4lD//0y4cDQc4XpirFULg7tqE3/vUEUQRA45epyvvrEaZQstuLtC3Lotpc4+KsXUu41PxT55y5AZdIRbOvCuzdx2gTArltfo+Ptwxz9yxsDfp65VC5Qq93Wn6yjM8n3f8kEw75e+TppjAiGQX+IYx/KBYQnullDLh+BPg+CRkXhrbeQfcPlcV2RYX8Af5U8h7Gtqkj6fBQmN666Lnbe8gjOYx3UP/wR1UeUwvbpjKBSYd4gpxY0v7BngkczdmgyIoKh4jBUUFAYguk3i1RAN7scBIFAV8eIe2eNN4aScnTFpYrDMAHitjo6XnsBb4I+XyciqNWoM+SYxFRiSWMOQ+/QMaBRoqKJKTu9gmHMYehPQTCMuByTLRhFoxzVGZmoDOmLTh1LJEmi/eVnIBRCv2QuhmXxe2iciLY4n4KffAVNWSGBHje7vvMYXR8NXTjgabJz6H9e4eMv3EtbRCjUL55DwU++Qu5XrkWdJO51OER7akYjc+MRfY9C/uQutnAwQMg/WIgz51eQPUe+2W9/4UlMcxeCSkWgsZVgezf6RbIbIVo5qMu1YCi1IYWhdmtyl6E5R3YMnuiw0+UlchjKn43QaATD3KjDMIlgGDn/fSk4DEMRd6EggNYwvOrYVVeWA9Dy4t6Uqsuty2TB0F/dQNgb32WpKc5DtJiQAn68TfGjS0eCuWBG2nv+TRRhSb4WjsXzURvkPhYh1/gJhqJOF7sG+JP05lRQUBg50Z5c01Ew1Bdmkn/uAkxrl030UBQmgOpjmez/+XO0vXaA/f/13LSOjkuGsUwWDMfSYRglp8LMTQ+eyjlfm4OoEuh4p4ptNz1A97baUe9bZdBQeIHsMux7LXmPStu1F4EoH7/z/X4HkHWJ7DBsPtiL1yHPZbURwdDtSuxa7O2Rf6fPkOfBNVu78XtCaLPNco/y41Cb9az462fJ/8+b0ZYmTqwJdnSjtujR5Zpj79F4M1b9Jk8mevc3seubj+Jr60Odn0POD78Sm9cpTF/MZ6xGUIkIanHafrdEHYYuxWGooKAwBNNvFqmAymREUyK7Ujz1w3fpTARFn/kCi87/piIYJqBt7zvYN7+J61DqPbk01kgsacfQMXbiCByG0ThQc7Y25cekgmqEDsOE2zTKQstkchdKkkSwrzeho8p1+ADuI4dApSLr2guH1StQbcug4EdfRr9oNmFvkH0/fYaWF/fEjhvo9eA43ErHO4epf+xjDvzqBVkofDUiFC6ZS8FPv0L+d25ANyt9UTru7ftlt6tKRJvEYSga5JvYoC+5YNh+YDP7/vUbvB98jKu9DntNf2+94lWfQjQY8LW14GttxjRbFlxdH+3CuCrSx3BzVUz0sq2QhbChYkmjDsNoHG8UfV7EpXWiYKiXBUbJP5pI0oLYvhOJbjGHYffQVebROFKtUT3sHpSLNhajM6nxNNnp2dUw5PaGIiv6ggykUBhfVW3cbQRRRD93BpA8lhQgHPDT13xkWFFYPTO0SNLQMaaTGWkMBcOow3A8I0kBdAWRWNIGJZZUQWEsiEWSTkPB0Lq0lHk/3EjGeadN9FAUJgBRp8V24zWIOjXdH1Wz7+fPTtuF3WQYS+R5nqPDFxPJxhKVWuSsL8/mSw+tI6fShL/Lyd4fPknt/e8jhUZ3n1V08XIQwLuvikBz4gh+XUUxGRs3AHDkj28QcMgFebpcC/oiK1IY6iJ9DGMOQ2f8e8ZwWKKvb2Ak6eF35GNnr6mMe49c15yHrrIk6XPRFuez9tEvseKvnx32ffZICbr9dG05xtH/e4ttN97Pu+f9nm033s/Rv7xJ53tH0uYGPVmw76hjzw/+RdDhRTuzjIKf3IwmL/HcVWH6oM7KpPj2H7H0f64cEEk8nYgKht6+IKHA1J4jKygojC3T8yqogG52OYGGFrwNtVgWLp3o4SiMEnNBJfaaXXga6lJ+jMaWLfeCS8VhqJNFv7BvOA5DWZxIt8NQrY32MBz6BibqchSTOgwj/QvzJr5/ob+zHcfenfTt2UGgqwNUKrTZuejyC9HlF6LNL0Sbk0fHy88AkHH+6SNqqC4adOR983q67n8K1+btVP3hNRqf3I6v0xlzmJ2IYek8Mi85B92M0tE8xbiEnG667n8agKx1ZyHq9Am3jTkMfYknt0Gvk5ZdbxAOeOnqrqL1+cdQ6YxkFM9BpTWgMZiZfc6NBOZloc7IJOz14Dq0D9eHu8j45TcQNCo8DXZcNZ2YZ+RiW1FG87O7qN7SkfR5mCLiuN/uRpKk2EJAzGF4YiRpzGE4csFQZTShMpkJuZwEWjriLlQMp4dhyBPpX2ga/te/zqhm8aeK2fZ4HS0v7kmpN4t1eRmtL+/De+AohiVz426jnz8D97a9uGuOkn3mJ+NuIwWDVP/2VsJeDwsv/wF6a17c7Y6nZfcbdB76kLkVF5Kbk5pLdzIS7ekzloJhyDm+0aC6/CKcB/bir1cEQwWFsSDmMFRPP8FQQcGwaA6537qBjv/9B/attey/9XkW/vyiabvAGw+1WYc224S/y0VnrYuSxdZxOW7JYitfefx0XvntAT5+vJ66B7fQd6iV+T+8ILYQPVwMhZkUfmopujwLwSRFoADWS87BvX0//tYOqv/2DnO/e5788yUltDb3ULuti7ln5KEdooeho08iWn9myNDIPQrflYtMs9bOiG0XdHppem43JZetSPn5CIKANsuU8vbDRZIk+g62YN9ai31HHc7DLbFrfhRXbSeu2k6antmJIIBpRi6Zy8rIXlMZK5RUGEzXlmPsv/V5pEAI/aI55H79s4i69BZHK0xuVFYLMPJ0oMmO2qwHAZDA0xvAnKM4ZxUUFOKjzCKnKbpZ8o2gp752YgeSAskanCvImPLk99PbWJfy66WxRRyGnalHkoa8w3AYRnsYjlEkaSp9SWIOw2SC4QQ7DAN9Pdjff5u6O39P7Z9+Q9db/5bFQoBQCH97K469O+l8/SWaH76H2j/eRsDehcqWQeZFZ434uIJaRfYNV5B5yTkAuOu7Y2KhKtOCblYZxrXLyLjoLAp+/jXyvnX9mIiFAPZ/Pk+4z4k2N5+sBIJQlKhgmMxh2LLzdcIBL2ZzIfPmfhqTMY+Qz03r3rdj25jzK2KxvKY5CxD0WkJdPQSa2jEskWNJW1/ZB8huBUGEzloXva2JhUpTpF+nFAwTdPRPJPT5EZdWZ88A95uYhh6GcFwsaYI+hvLEBoJOH6EhRP+QK+IwHIFgCP2xpN3vVQ3q5RiPWB/Dg8cSbqOfL/eJ8TbUEg7EH7+gVqMvksXS3sZDKY016Hbgd9rp6EzdmT0ZiUWSqsYikjRy7oxjJCmAviTynXbg6LAcowoKCqkRDk3PHoau2k6cx9qpqVfcHic7+nkzyP3GF2JOwwO/fOGk62kY62NYPb5FP1qDiot/tpjL/99SNHoR+9Zatn/lIRxViePzh2LON8+l/No1qMzJ20cIWg3ZX7wcBPk+vnt7LQCZkVjSmkgfQ50xucMw2r9QY1Ch1qroqHZib/Sg1orYlvcLanUPbaH2H++x7UcvD/kcpGCI8qLEDsnRIkkS9u117LzlEXbd8gh1D35I3/5mwkEJW4mRVVeUcvXvlvOtl87kmt+vYM015eTOMCNJ4DzWQdOT29nz/X/R9MzOMRvjVMdV24UUCGFYsYC8b3xOEQtPUmobc/F1OXEeG7vP80QhqETUFrl4W4klVVBQSMbJU4Z3kqGbHVmMa2kkHAggajQTPKLEOPbupO25J7CVLaLyzOsmejiTEmNWEYJKQ9jrwd/VgS4iICQj2iMqlUjSWA/DYTkMIz0Ms9ItGMqurZQEw8gYVJlJIkkjvd90+eMrGAZ67bQ98zju6ipiJayiiH7RbExrl2FcvoCw24O/oZVAYyv+xhYCja0EWjogLJH12YtjgtNIEQQB62WfwLB8AeFeB+rcLFQ5tlgE7Xjg3nUI1wc7QRDIv/SaIa9FYsxhGF+M8vZ20H7wfQBmzdyIKKqYUfkJ9u5/mPZ975K34LSYa8pSJ+EoF0AQMM9dgmP3NtxbdmHecAru7ftpe+0AM248HbVZj3lOIY5DLdR81MmyS+ILpxqdCr1Fg9cRwG93x5qG63Jlh6Hk9SG5vQgmQ+S5RJyUoRDhYBBRPbKvXG1eAZ7aYwSa4k9aRKMBQaNGCgTxd7kwFFkT7isYdRiaRzaWwnmZFC+y0rSvh7ZX91N69eqk21sjgqG/vpmQ04XKPLjiWl2YiyrTQqjXgbexDmPlrLj7Ms6ah7v6CH1Nh8lfdMaQY7VWLKL9wGa6Og8RDocQp2BPQ0mSxjSS1JRXjvXUMzCUjG+1uaFiJoJWQ8jeR6CxDW3p5ImMVlCYDvT3MByfSLzxouGxrbS9doDMS87BetknJno4ChOMfv5Mcr5xPZ3/ex9dHx6j8YltlF27ZqKHNW4YSrLo2dVAxzj0MYzH8otLKJybwT+/uZ3uhj72fPOfzPj6uRRuXDzifVaUdFDbmDxdRT+7AsvZp+J440Man9hO1soKrEvle/fm/b343MH+SNIEPQx7Iv0LDRkD40gzlpWjMsg/czfaY+JaxnmnDzl210e7+PA7L1B08VIqPr9+yO2HQ8/eRmrvfZ/ePY0AqHUi887MZ+apOcxck0NW6UChNbvMxKJPyuk6jk4vtVu7OfBmG3tfbqb2729jW1GGsUwpvDiRsmtOwaEtxbhiIYJ66s0bFNKDa+tePrrzEcxz8lnx52snejhpR5NhINjnxa0IhgoKCklQBMNpijrHFluA9TU3YiivnOghJSTodCAF/MDkdxmEgwG8ve147K14e9pQ683kzjsVUT22AowgqjDlluJsrcbbUJeiYBh1GKbSw1CunhtOD8NoJGnaHYZa+eZcSqGHYbSXXCKHYajPKffNo9+lNR4EHX003vt/BLq7AFnAN61dhnH14gH9FkWDDnW2FZbNi/1MCgYJe31xhZWRoqsoTtu+hkPY7aX7vqcAsK3bgKF0aFFCNUQPw6ZtL4EUJjtrLlk2WVjKyVlAhqWEPkcjrbveoPTUSwHw9XXReN+/CPT1kHv+JTh2b8P18R6sV1+AKiuTYHcvHZuPkH/OfGwrynAcauHYlo6EgiHIPTu9joDssC3PjoxZgybTQKDXQ7C7B21EMBT0/VWpYZ8XUZ08ZikR0T6Ggab4lduCIKCyZhDs6MbfnVwwjLpMo5XXI2HlleU07euh5aU9lFy5CkFMvCCttZkwVmTjru3Ce7Aa0+rBi0iCIKCbPwP3lt24a44mFAxNs+fS+erzONqOEQ4GhrzumvMrUetNBLwuuu1HycmOH4k6mTm+/+JYCIaWghmwZmba9zsUokaDsXwWriMH8ew9rAiGCgppJhQTDKeXw7Bnt9w/N1oYqaBgWDCLnK9/jvBHmym5YuVED2dcMZbJc73O2qF7WI8VBXMzuPmx03jyP3dx6O12qm5/ld7djVRcvw59Qeaw9hXo9WDfUYc32BdLn0iE9crzUVkzWPRFeQ6lz89Al5+Br62P+p32WJKGO0EkaW9vpH9hRDA8FBEMs9bIcaRSWOLYnW8jBcPol8zFsHhO0vFIkoRn5yECvR6kUHrWNHwdDrq31dL+1iF6dtQDchLP6ivL2HDTTCy5iVs8HI8lR8/ijUUsOr8QT6+fox90cug3L7P8z9dOu++IkdCx+Qi2leWojVpqG3MxnTL8diAK0wv97AoAHAdbcB5rxzxz6FYYUwlNpgFPox23XREMFRQUEqPcIUxTBEFAO0t2dnjqqyd4NMkJRaLQ1PrEsZKTgdrNj7HzgR9x8JnfU/vOP2nd/QaNHz3L/qf+h96Gg2N+fFNuJGa2oSal7WMOw66eIcU3QReJJPWkftMQjWQ02tIb1aFSj8BhaIkvrgVaOwFQW22I2vHJZ5fCYVr+9TCB7i7UuVkU3fYdCn58M5ZzTh0gFiZCUKsTioW9L75N22/vwb3zwJSI8XN+sINQTx+arByyzz4/pcdosnOxrTuTwmXxnQPRz1pFeX9cqyAIzJghR512HP6QgLsPALXBjKehhkBnO+pMKyqjibDDhb+uCfPpq+Tt360C+p1wdduTR/jqM+TzPegaGDOqzZHf21BPf7SjIIox967kH/kNuTZHnqQE2joTbhPrY9idfNEo5JFdxBrDyMWnRecXoTOp8TT10Lu3ccjto7GkvkOJv4v08+QFGk9t4uhSbV4hKksGUiCAs33o66AgqsiaKS8etrRsHXL7yYggiCy88kcsuPz7qDSpLQxNFYxz5EU+z97DEzwSBYXpRzg0/QRDv92Fr90BQn/rBQUFAMPiOZhu/OJJ1cMQiBWI2ZuGjogf03FkaLj2T6s495a5CAK0vX6A7Tf8g5p73yfkTT29pumZnRz89Yt03fEggebkUYCiXkfmRWcNeM+t0VjSrV0YM+X77927Ajidg12GbS3yPNOUrcXrDNCwSy6wzV5TSTgQ4tBtL9G9pRpEAdvVFww59p7HX8a9bS8AWWtGXqgtSRL2XfXs+9kzfHTtXVTd/io9O+oR1QKrryzjWy+dyYX/uTBlsfB4BEHg079cij5DjaOqjY53lPuvvoMtHPjl8+z7ydPU1NgmejgKkwSV1YJh+QIA2t9MrRXGVEKTIV8/3D2pX58VFBROPqbPLFJhENHKmMnexzDslRfeVdrJtRgaDg78AlXrjCBJqNUGMjPLKSpcjU6Xid/RTd37/xq0fbox51cA4G9rSWl7lSUDQaOBcHhIl6FojLi6nL6UxxP2yxMttS69rhcxGp+VQnVmdLxign4Xoe5eADSZ4zcB6H73dTw1RxB0WvK+/QU0hempUnRt2UXPE6/g3X+Ejj8+QOsv/opnz+FJLRy6t8oTZ+sp6xE1qQnLhpJycs+/GNbGd5lpTXK1cig88PNms84kM6MMKRSkff9mAFQaHaYsefHA39KIoUKuVvZV1WJYLLvNevc0IoUlLLNlB2pviydpPIffLbtwVYaBzye2KHtij9Ho+yOMPBZOnWkFIGTvS/h+ixFX4/G9FeMhRfpaRXuFjgSdUc3C84oAeVFoKDIWyNv6qhsS7zOy+OttbkjYp1UQBIwzZgPgbEmtECZnzikAdHYfJhCY2AW1kSAIAvqMHAzWfAQx/bdskhQm0NuDL8XvlXRimil/Bn1H6gj7lApXBYW0EvmumE6BpJ5G+V5WlW0bdWS7wvSktjEXKRSm/tGPcVZ3TPRwxpxodGbQO/G9G0VR4MwvzeLG+0+l8pRsgv4w9Q9vYesX7qXjndTmKyVXrMQyJ59gn5e2/7mbQEfyIj7of8/9dncslrR2WzfFi6xoNHIPwzPXtHPbL/porO9P0tmzS55HFM3PpG57N+GQhL7IisZmZN9Pnqb9rUMIKpHsG69CW5w8pcbxzlb6Xn4XgMobTydz4fCTXUK+AC0v72X7pgfZ890n6PrgGJIEpUutnPXl2Xzz+TO55OeLsRYahr3v48nI17P+c3KRXsMT2yb1PHKsCbr9HPx/L0JYIqDPAiWCVOE4DCsWAmDfVjuxAxkD1CZ53dXrUARDBQWFxCiC4TQmGtfjaahNuAA7GQj7ooLh6G6A00k4FOTwS/9Hw5ZnsRxxk3nMxyzzWtaf+kNOX/8TVi7fxLy5l7Fm9TcpKz2dslMvi8XjSVIYKZz+iZulcBblX/0epTfektL2giCgsUZjSZNPuESjfNMQcg1DMIy4FqM9B9NFtN/OUOesJEkEI+ONCp4nErTLgmFUcBlr3DVH6Xrr3wBkff6ytImF/sZWuv7xJACGytkIOi3+mkbaf38vbb++A8/+I5NuwhfqdeCrqgXAvGBJ2vZbcfrVLLjsu1gzB7oLBEGgvGwDWpMNXUZO7OfG3IjTurEeQ5lc8eurqkVbUYyg1xJ0eHHVdKA269AXymJk66HehMeP3lirTQMXK4WIIHji+yClQzC0RHok+vxI3vif0ahgGHAmFwyjgqY4yr5WSy+ShdiOd6qGrB6PCoaB+mbC/vjbaoryEPQ6JL8ff3trwn0ZI6KvoyWxE/F4DFmFGLNLkMIh2tp2p/SYk4mQ30fN7b+g7q+/JRwY30mjJjtXvjYHQ/iO1I7rsRUUThpG8d0z2fA09QCgyVf6bikkZtdfdlFz92YO3fYSYX/qrRamIlF3XcA/eeb55SuyuOGeNXzmDyuwFhnwdTg48MsX2PO9J3DVJk7KAPneevFtl2OsyCbU00f7/9wdm8slwrO3ig+uuIMDv3yezIjDsHFfDxqdyFW/X0VupQmnQ+L+u1188owOvr7JzraP/OzZJRcqlS6xUv2x3ELCurSUvoMtOKs7EHVqcr95PeZ1y5Me31tVi/3BpwGouH4dZdecktLrFMXX6aTmH++x5TOym9BV3YHGoOKUq8u45dkz2PTwes752pxBPQpHwylXl6PRiziPtNO7e+ikkOlK9V3v4G3pRZVtJfvzl8XmcgoKAIZFkSLVYx2xVjzTBbVZXsdQBEMFBYVkKILhNEZbXoSg1RB2u/B3Td4qy36H4eSpFm748GncHfV0HdmK3y9HDOp0Geh0GQNuJtVqHbNmbqQ8OJvMY/JCfufhjzn4zB9wtdeldUwqrZ4cb8GwXCaxWNKOIRyGUbFhCHfS8UgxwTC9l5GokDFU/4ewP4gUiS1NJBiGooKhZXg9NEZC0OWk5V8PgSRhOm3lkBPMVAm7vXT85SEkfwDjzDmUfH4Tld/4Mbb1ZyJoNfiO1tP+23tou+1veA+nFlc7Hrh3HABJQldcisY6PIdnOODHdfQwXUe3D/qduWAGhqxCRHFw7FR29lzWrfw2OXPXxH5mypWrjX1NDRjK5Ypa39E6EAV0ERd2T2SybJ4lR3+2HOpLODafM+IwPEEwjC3KnijcxgTDhLscElGrQ9RHRH17/LH1OwyTi/7Rz1WyvoOpULYii8wCPSG3n949yRcbdHkWtNkmuQK8Jv62giiimyG/V57GxNdO46y55J5/CdmXfzrlseYuWE/u/HVYrRUpP2ay4HS10fjRc3Qe/mhM9i9/70ZioH2pX//TgewYlXsCefcfHddjKyhMdyZZDVFacDfJ97Lq/JwhtlQ4mck4dx0aqwFXTSd1/xyb787Jghjp+x70TR7BEOTv94WfKOSWZzdw1s2zUetEenY1sGPTAxz9v7cIJilu02QaWPLfV6AvshLs6Kb9t/cQivSjj4c6N4ugw0vfgWY0ViO6XAvhoET97h7mn5XP15/dwOfuXM2sdTmEw/Day14+e2UXB/fL9/Mli63UbI0IhstKsS0r49THvkzhb743ZN/CsNdH9x0PIAXD5G6YQ9l1a1N+jTzNPVT9/lW2fvYu6v/5EcE+L9YiA+d/Zx7ff/0cLv7pYvJmjk27FpNNy4pL5Xvuhie2jckxJjv2nfW0vLAHgJybrorNoxQUoqgyzGjLZbewPdJDdLqgigqGzuldVKOgoDA6FMFwGiOo1WijC7B1k7ePYcxhqJkcN2odh7bQeXgLILBo3tXo9daUH5tx1EPbvrfx2Fs4/NIduDom9uZCY4s4DIeIdBlRJGlg9NGGcccipuYwjI1VEBD08eMuQ92RXnaZYysYSuEwrU/9k5CjD3VhLln/cUl69itJdN7zBMHWTtSZNgqv+CyCKKI2W8g972Iqv/FjrKeeAWo1vqpa2m77G51/fzzpxHq8iPbxsCxYOuzH+pobaXrgbzR+9CySlPoiiCCIiOLAOBlTTqR/XmsTmtw8BK2WsMtDoLkd/XzZrdazS/6cxgTDg/GrmcMhCZ9LvrEe5DCMfgxOXKUNS7GxjYao6B3sSSQYypXHyRZhoP9zJapHJxiKokD5Krkgoe9gc9JtBUEgY34klvRY4muidqb8feVtqE24jSbThm3dBnQFRSmPNWfOKZStu5zQ0oqUHzNZcDlbadv3TlzxPB0Ighgr1gl7PWNyjGQYZ8rVu579R8b92AoKJwXTyDDhVRyGCimgyrSQee1lADQ8Mr2jSaMOw6B/4iNJ46E1qDjnq3P4xnMbWHBuAeGQRNNTO9j6xfvp/DBxUoQu28zS/7kCXa6ZQHM77X+4L+G8UJ2fjSrbihQM07e/ORZLGhUBRVFgzml5XH/XGr7+zBmsurIMXeQW3lpsQGtQ03JQvre2LpMfK4gCatvQc0dRr2PONz9B5pIS5n7v/JQcaq66Lg7+5iW2feEftLy0l1BQonyFjc/8YQXfeulMTvvCTAyR/otjybrPVSII0P1RNa66rjE/3mQi5AlQdfurAJjPXhvro66gcCL6+fK5MVRx7FQjuo7h7VMchgoKColRBMNpTjSW1DuJ+xhq8wvRl1agMWZM9FBwddTT8OFTAMyo/ATZWckrC09EEEROWbQJm20WUijA0VfvwdeXvptwj72VlicfpvXpR1PaPhZJOpRgGKmqkwIhQr7UbhyiDkO1Ns2CoVreX7TXWiJi/QuNhoQTtFDP+DgM7R+8jfvIIQSNmtyvXIeoS61f31D0vfwunu37Qa2i6JrPozKZB/xebckgb+OlVH7zP8lcdSoIAq73d9D8o9/j3DxxfSlCDhfeg3KRgnnh8ONI9SXlCFodQa8LT/fA3mpBn4fWvW9x5OiLCR9vOeKm68g27DV70FqyUOmMSKEQgY42DCXyNdFXVRubIPbubUIKS5gjfQwTRZJGxUIAtemE93hIh+HoVm2j5/DQDsPUehiKo3QYApQuk68vfQeG7n+XMb8QSC4Y6mbK4q63Ib3u7KlMICj3XVTr0xdFdSLROPDQRAiGEYdhoL5lUhQ6KChMF2JfRdMoYq3w4qVU3nR6rNhHQSERxtWLMaxciBQKU/W7fw85p5iqxARD7+R+frZiI9f+70quv+sUsstN+Luc7P/pMxz8fy8S6I3fX1pfkMmS/7kSbY6ZmdcuTZiwIwgC+gVy33P7jjoyl8qxpLXbBs+/82dZuPTni/n265/gkv9azLX/u5La7V1IEhhKbah0GqSwRG1jai0lKko6yFk/i6W3X4VKn1zkcxxpY/+tz7H9xvtof/0g4ZDE7NNyufGBU7npgXUs/EQhKvX4Lc1ll5mYf7Y872n818nlMqx94H28rXIUqe3KjRM9HIVJjOnU5cz70QWU/0fq7uGpgFpxGCooKKSAIhhOc/SRyD1P/eR1GOZfdAVlN92COb9iQscR8Dg49sZ9SOEQOTkLKC87Y0T70WiMLF54HWZzIUGvkyOv/p2gL/5kaLhI4TCO3dtxHtidUl9KddRh2Jk8klTQ62KLSqm6DMOBsYkkjRqxpHBysau/f6E+8TbdEcEww5qWscXDU19L5xsvAWC77mK0pQXp2e+Bo/Q88QoAeRsvQ19clnBbTYaV/IuvpPSmW9AVFBF2uem651+0/eYuAs3taRnPcHDvOADhMLrCYrRZw48OE1SqWK+6vqaqQb9v+vgFGhrfJxiML461tG6n9t1HaNz6AkhhrGULMM1bCAjoo30Mj9TKsc16HUGHF+exdiwRh2FnjZO9LzUN2q/PKYvpgkYVW6SJjTnmjO0/bwcItqMVDDPkgoqEgmGKLuHo+EbbwxCgdKkcNdt3sGXIxbiMBbJg6D9an1DIjgqG/s52Qu7EvSJCHg+9Oz6mZedrKY9VkiQcrdVUHXme8Bj0mB0rAoGIYKgzjdkxooJhNB58PFGbLWjz5XPDezC1vpQKCgqpEHG3T/Ao0oltWRllV5+Ctix1h7nCyYkgCGT9xyWozTocVW00/mtsXPoTTb/DMDzpepnHY9a6XL725OmcfsMMBBHa3zzE1i/eR8c7h+NubyzN4pT7biDvrHlUlCR2ihoWyoJhz466mMOwcU8Pfk/8+z2TTcvqK8oomp95XP/CMo7e8RYfXn0nri3Je1473v6IAk3/PUsyZ6G/x82BXzzPjpsfonPzESQJFpyTz82Pncbn7zyFihVZSY81lpx2vVw42fH6Afzd06tHWzIKP7WUzCUlZF//aUTD5GmJozD50JYXkX/OfHQ5YxMPPFHEHIZKD0MFBYUkKILhNEc3qxwEgUB3F0FH4r5cJzuSJFH91oMEXL0YDTksmHfFqCIE1WodSxd/Hp0uE19vB8de+wfh4Oi/kA22AkSNjrDPh7+jdcjttVnRHobJHYaCIAwrllQKhWNRi+nvYZiiwzDipErUv1AKhwn1yv0nxyqSNOzz0fLEgxAKY1yzFPOG1WnZb7C7l847HgFJImPZatk9mAKGknLKNn2LnPMulvsbHq6h+ad/pOfJVwn7x++GMBpHal4wfHdhFONM2XnkaB4oGKp1BtQG+abd7Y6/eFCQvwyN2ojf0UVvw0EqzvgMxdd+EX1xaayPobeqFkGlQj+nAoDe3Y1os0zkn7sASYJ//WAH79xVNWABxuuIxJGa40wu4zkMj/t3KjFFyVBZIoLhEJGkQ/UhjX6uhDQIhnmzLGiNKkJu/5BxRuY5+QgqkVCvg1BXT9xtVBYT6gK5qtuTxGUY8rhoe+ZRmne/RjjoT2msUjjEsdfvpbHpQ+z2qdMvLyYY6sdDMBx/hyGAaWa0j6ESS6qgoJCcVJ0/CgpqawaZV18EQN3DW2KFhtOJaA9DkEXDqYBGr+K8b89n08PryZtlJtDj4cAvX2D/rc/FFa2Od+6F/YG485mo69h5rAPRoEGbYyYUlGjYnbxgFqAmKhguKab7o2oCdjdiRuJ7LtfHe+i+72l2fPUh/D3JC4K7Pq5h20330/FuFYIISz9VxNefOYNr/7iK4oVjm36TCmXLsyhdaiUUCNP07K6JHs64YSyxkfmtrw7Zo1JBAabnfUe/YKg4DBUUFBKjCIbTHNGoR1Mix0146msmeDSTF0EQyJt/GhpjBosXfRa1OrFrLVV0ugyWLv48okaPs62G7mM7Rj9OUcSUK7twPCnEzKqtsmAYdroJe5JPlGORhkP0QAMIB/srNtMvGEaEjKEchtFI0gRNykN9TgiFQRBQm8amKsy+ZTPBXjuqHBvZ1182alEIQAoG6fjrw4QdLnQFReRdePmw9iuoVGStP5OKr/0A05wFEArR+/ybNH79l7T99h56n3tzTF2HIZcb7wG56taycPj9C6PEBMPW6kFiu8EqX9NcCQRDlUpLXt4iAJxtA697hpJyEEVCXT0Eu3rQRWJJe3Y3ADD3e+dRcuVKAN7882Ge+elugpF+ndEqvBP7FwLxBcNwOh2G0UjS+HGpKUeSptFhqFKLlCyOuAwPJO9jqNJpMM+UJ1xJY0lnR2NJaxNuo7Fly67hUAhne+LtjkdUqcmeKb+vLa2jvxaPF4GALOKpdWMZSSp/301EJCn0f9Y9+49OCYeEgsJUYLpFknrb++jYfIRAy/TtR6eQfkynrcRy3mks/+Nn4t+7TXGOT7sI+qaGYBilZLGVrzx+Gmd+eRaiWqBz8xF23XgP9u3xC8ZaX91P6w9uw/H6B4N+p8q0oCmRE156dzX09zGME0t6PC67n9YqubhUZdIR6PEgGHTo51TG3d5X00j3PY8DkH/uArTW+PdmQaePI396nX3/+RQBu5u8mWZufuw0rvzv5eTPmlxOpajLsPm5XYQ809tt5OuQ3+vaxty0zNkVTg4C7V3UP/YxzS8kdx5PJVSKw1BBQSEFFMHwJEAXjSWtm3yxpGG/j6O//hHVv7s1LQ680WCrXMK6ld/BZMpL2z7N5gKWLLiO4lUXkD3nlLTs05QX6UuZZEE9ikqvRzTIk5lgR/JJUzTaM+hIwWEY6J+Uiur03nDHIklT7WGYIEok6sRSmS0IKlXcbUZDOBjE/uE7AFg//UlEw+hFZgDHWx/hP1aPYNBTeM31iNqR9UPUWLMouu6LFF79edSZViSfH+/+I/Q89SrNP/tTUtFmNHj3H4VQCG1eAdqckX+WtLn5qCwZSKEgztaB1y59prxfpzOxy9ZiLgbA0y0LWZIkEfb5EDQa9IVyfxPv4ZpYVXLv3kYkSUJQiczcdCazbzkHQYRdzzbw9H/uJByW8PTKbraki04DBMPjzuE09TAM9jji/l5lSjGSNNrDMA2CIUDJcbGkQ2FJpY/hLPn6lqzARRAEDJXy++ZoST3GMnv2KgA6ug8mjLOdbAQCcrW9agwFQ2vZQmzrNqDLS0+c8nAxlM8AtUoW8dvT1/NXQUGBaZNJ2rOrgQO3Pkf3g89O9FAUphCCIJD1mQsxVQ4/Hn8qIKjF2Gc86Js6cetR1FoV535tLjc/up7C+Rl4+gLs/dG/qPrDa4PdhmGJgN1N75P/pvvBZwk5Bv7efOYplF23FtOMXKxL5Pv83S804e5NnETx0SO1ABgrsnE3yGk82rIiBPXAeWOoz4n98Zdp+/X/EfYFsa0sZ8ZNg1uXOI+1U/W/r7H1M3fQ/JwsLqz7j0pufuw0iuZPvKMwHvPPLsBWYiTo8CaMhp0O+DodfPQfd3P0L2+m1NZFQSGKv66Zmr9vpvn56SMYKj0MFRQUUkE99CYKUx39nAqcb26ZlA5DKRAg7PPJC/li+kWdlMYgSQiCQOYxH6iSNywfCVm2mWQxk96IYCBJ4VHFnZrz5arHVN9PbVYO3qZ6Am1dSfu+iBlmAPz2oXsYDIjA8YXR6NL33qVa8Rf2RfrJ6eILamGn7JZRGccmys999BBhtwuVNQPT2pE76U7Ee0COS8w+7dwR9f87HkEQsCxcinn+YvwdrXhqq+nbvR1vYx0df36Qgp9/HbUtIx3DjhGNgdWOUnwQBAHznAX0bt+Co/UYGSVzY78zF1TScegDupNES4qRz3LUsXT0Fz9ACgWp/M5P0RUW4W2qJ9jWiWn1YhAEgk4fAbsbbZZ8vhRdvAxdXgYH/+sZ9r3SjCVPj1onf26N5dmDjheIfG5ES//5Fvb2i3eidnSV7aqI8B92xXeBRT8HIW/ywgshdh0a1XBiFM6Tzx937dBCj2WO7Az1NyQWF3WV8iKPr7Updm2Oh6GsEsfu7bjaalMeqyG7GH1mHt7edjq7DlGQvyzlx04UXl8PAFqTdcyOkTN3DbryiVMVRK0OQ3E5nrpqvAer0eRPz4VdBYXxJHbpHCKtYaoQKxKzjF08s8L0pbYxl4qSDkK+ACpd+ud6E4UgCKj0GkKeQMJ+fVOBwnmZbHp4HU/+eA97X26m5cU9dL25n8Kr1lB6xSpUBg15586n++MaOt6twvHGh7i37MDyqbPJOHcdglbDkutnA7MB0GaZqHt4C/ZGB3dc/R6FczPIyNeTkW8gI19PZr6e7gY3b/6fHIVecvlKTJF7e9/hGjwHjmJYIPdF7H3hLfpeeIOwV15Yt8zJZ94PNiJEW2hIEt1ba2l4bCu9kbQSgLxZZi74wUJmnTq572lElcCSC4p4566j9OxuoOD8RRM9pDGh872jSMEwnfu6KLhU8UwopI62TC549TTYkcISgjj1K7FUBvl70O8OJp1vKygonNwoguFJgC4Sq+FraSLk9aLSp8cJlQ6kUGRyI4gI4vjfvHl7Ozj66t3kzDmFDNP6Mf2yzDzmo7sMqt+4n6yZK2Jul+FizhvYl1JtSS74aLJzIuJI8gV9VWZUMEzejwHkCBxBLSIFw/jdQQwZ6Zt8pxpJF/bL546gjX/ssEd2EKn08SNLR4tj704AjGuWpPXcDbR2AqArKknbPgVRRJdfhC6/iIxlq6j/+5/wt7fKouEPv5TwNRwJUiT6drQCGYBt/ZlY16wn21s44OcZJfNAEHC5WvF6e9DrrYMeGw7JwllUOBTVWkKhIGGfD3VmFgDBTjuCRo06x0awoxt3oz0mGAJkr53B7O9t5NBtL/HhA9XozPJXZuaigcK7JEmxmBt1dv9Ywk75syTqDaM+R8TIdVvyxnfGCRp5bFIghBQKxxYyBm0XcRaGg+lZRM6ZEekn2dA95ITDNEOOJA00tCbcVlOUD2oVYa+XgL071of1RAxlFQC4OhuQwqGUCk4EQcBauYTWXa/T3r53SgiGK5dvoiPbiT5z+vXPOB5D5SxZMDx0DMuZ6XHjKyiczIiRBS1pmgiGIY/sEhITFIkpKCQj7POz/7+exb6jnjUP34TGMnnmwqNFZdDKgqF76gqGILsNr/7tctZ8ppxXfneQxj091N3/AS0v7Kbi+vUUfHIhC352Efad9VTf+TbOYx30PP4yPY+/zLwfbISSBbF9aSx6Fv/60+z79sPYGz3YGxNHrhdftpzCjYsBKLp4Kc3P7ab73qco/NU3mTGzl3qbmx5vEMucfMr+41Sy185AEATCgRDtbx2i8fFtuGrluZuoFlhwTgFrrimnYlXWlFmEL18hp4X07mua4JGMHZ3vy0WmhpXTUxBVGDvUOTZQiYT9QXydDvR56S22ngiivWGlsNz/Np3F/woKCtMHpbzmJECdlYk6NwskCW/D5HIZSiG5Wm+i3IVdR7bi6+vEW310XG7qXR98QF/TYRq3voAUHtnETqU1YMgqQldQRNAZP57weDQRl1qwvTP5fjPlm59AnIbzcbc3yIs2fvcYRRkM8X6E/ZFzRxO/7iHsloUVUZf+RYGw34fz8D4ATGsSuwu9h6pjAmAqSOEwwY5IJE4cd6EkSf0i+wgRdXqKrr0B0WTAX91A1wPPpLVvWNRVJ+pGLxhqc/LQFRTjrBj4VaXWGTHllSOo1AljSUPhiGColm+IVRp5PGGfD41NnhgHO+3y/grk19rT2D1oP/nnzI/FDvkisR0ZC4sHbBN0+mJ9P1RZ1v4xRNyAUXfgaBB1svAdPa9P5HjRNyqmx99RpCI6TYvIWWUmRJVAyO3H3+VMuq2pPBtEgbDTTShBtKqgVqEtlt2pvpbGhPvS5hYg6vSEAz489sTRtCdiq5Q/r109R6ZELKl7ng1Tbmmsz+BYEAr4CPT2EHQlf//GEmOlXMnvO1it9DFUUEgD0eKQaSMYepOnSigoJEPUaemtcxJy++ncXDXRw0krUaeIb6zmY+NMxYosNj28jqt/txxbiQF/l4uq219l+6YHaX/7MNYlJaz4v88y93vnoc2Wi10P/ffLuBvtA/Zjqsxh+b03sfAXlzD7lnMou3YN+Z9YgHV5GYYSGyqDhtwz5jDzy2fGHlN54xno8iyEenqx9sjxg8UXL2PRry9j+V+vI+fUmYQ8ARr+tY2PP3c3h//nFVy1nWiNKtZ/vpJvv3wW19y+gsrV2VNGLAQoW2ZDEMHb0ouvc+LuBceKQJ8n1qveuHLhBI9GYaohqFSoc+RiY09Tz8QOJk1EBUOAwBR2pysoKIwtisPwJEE3p4JgRzeeuhpMs+dP9HBiRMUPUTX+p6IUDtF1ZCsAhQUrx+WYxUVrqKt7G7/HQU/dfmyVS0a0n/kXfwNnZWqvmTY74upJ1WGYsmCoIejw4nNNzAS1XzCM746TIg5DcQwctc5D+5H8AdR52Wgr4zsBnZu30XXPvwDQVpZgWrsU45qlqK2Jq9JCXT0QDMk3ppnWQb9vefwBnAf3oi8uwzRrLqa5C9GPwImozcqh8PLP0fTgXbje244q04L10nMTiq/DISYYpsFhmIzKMz6DxpiBrS7+YmhhwQq0SxfGBEMxKhj6fWis/Q5DAE1BDt69VYMWG6KUXLUKX6eDpqd3orEaMJZmDfi9r13ulylaTIjHC3euiMMwDYJh1Bku+QNIwdCg/ioDBcNAbAHpRKLOw3CaFpHVGhFbqZGuWhfuum50OZaE24paNcYSG+76bgINLQnjcLXlhfjrmvC1NGFZGF+QF0QRfUk57mOH8XS3YMwujrvdiRhshegyc5FCQTyebiyWxDHNJwvt+96leccrZKxcQ8ElV0/IGPQl5aBWE+p1EGzpQFOUvl7CCgonI/0Ow+nRqykcKcoR9IpgqDAyTGuX0dPwCu1vHqLwgpHNvyYjY17AOQEIgsDi84uYf3Y+Hz1ax9t3HsVV28nBX71AbbGN0mtWk3/uAnLPmEvnB0fJWlWOqB9836u1GslZNyvl46qNWub/+FOozfpYRKnKoCV7zQz8dheNT+2g48UdePvk19qco+PUz1ZwylXlaU3bGW/0Zg15My20HXHgqGpFl5P6azYV6NpSDWEJTUkBmrz4ySUKCsnQ5GcTbOvE02THtrxsooczagSViKBRIQVC+D0hjNaJHpGCgsJkZMo4DJ977jmuvPJKKioq0Ov15OXlsW7dOn7729/S19c30cOb9OjnRvre1R6b4JEMZCIdhn1NVQTcfWg0RnJyxkdEFUUVhYWyONlx6IMR72c4r5cmO+IwbBvKYSgv9PuG7TBMb1VSquaSoR2GsrtLHINI0mgcqWnN0rgVpGGfn54nX43931/TiP2RF2n69m20/c/dON/dGtcpFhV1NbbsQRGWnroanPt3QziMt6GWrrf+jf29N2O/lySJ0DAcQqZZc8k972IA+l58m+af/hHPgcQ9AVNF8kVjw9IjGAYdfbQ8/gAHnvn9AOeRLiMHUa2ld2b846jVevTWPLRm2U3Y7zD0xgTDkL0PKRRCky+L6p4EgqEgCMz88pnM+vo5LPjpRYN6F3jbB8eRQn8kaXochv3CdzhOLKkgiqCSrwshX+JFo+jY0xVJCpBbKRcbuOuH7mNomim/1v7GxK5AbZks/vlakkcj5V34aWb+8JfDincWBIG5F3yFRVf9eNKLhe0d+6j/8Cn6Gg+P6XGioroUnLjFRlGjwVBaAcjObAWFqchkmqvEvqdC08thmK57C4WTj2giSM/uBnydQye0TBX6e1FNP5eIWqti/edm8K2Xz+Ssm2djyNDgabJTdfurfPQfd9Py0h5y1s1Ck2kc1Jsy4PASdPbfL4e8Ad675C9s+cxdbLvxfnZ+4xFaXt476JiZC4tjYiGAu9FO1R9eY+t1d9HwyMd4+4LkVJq49NbFfPfVs9hw46wpLRZGKZwvF/E5j7ZP8EjSTzSOVHEXKowUdaS/uqcp/lrBVCTqMlQchgonMy0tLfzXf/0XK1euJDs7G6PRyMyZM7n++ut59913p9wxJUni7LPPRhCE2J/77rtvxPub9A5Dp9PJddddx3PPPTfg5x0dHXR0dPDhhx/y5z//mccff5y1a9dO0CgnP9E+hp7mesKBAGICV9Z4IwUjfehU4y8YdlZ9DEBB/nJEcfw+CkWFq6mrfxdH8xG8fZ3oM0beDD0cCCCIYtLXL+owDPU4CHt9iPr4iy1RwTBgH6ZgmG6HYXRta4gkl1gPw0SCYbSHYZojSUNuF66jhwAwro3vfnL8+z1CPX3oCzJY+vur6frwGO1vHqJvfzPeA0fxHjhK94PPkPPlawdMXoLtEcEwe3C/sq53ZAHSNmMZlsLZ9DUdxpbb34fB39FGwz/+Svmmb6KxpVY9aVu3AZXZQscrzxJs7aD9f+7GuHYptms+ldQJmYz+SNL0vO6iXo/z0D6kYBBfbwd660DnkSSF8XjsGAy2pPuJCoaS34fKbEFQqZBCIUL2vuMiSRNPAgSVSPEly+L+zhuJJ4nGlUSJOgxVxtELhoJKhaDRIgX8hN1eVGbT4G20aiRPKCamx93PGPS1yplhgbfacDcMjnQ9EXNlLh1vHSbQ0JJwG025LOR5W5MLhtrY52R4z0VjlM/t3pk6Mo/5hvXY8aS7+wgdLVtRaQ1klMwds+MIkT6fUiAwZsdIBWPlLDw1R/EeqsZytnI/pzB1mIxzFXG6RZJGehgKuskxf1GYeqhzbOjmVOCrqqX97cOUXjGyXvKTjengMJQkiaAvTCgYRmdSDyrGNGZqOeerczjt+hlsfaKe9++vxtHh5Ngdb1P38BZKr15N6ZWrBxT0Hf3TG/TsbcT2xc+gnz+TQkMNIZePkMsX6zvet78ZlUFL3pmD77H6DrXS8NjHdL13JFbMWrrUyulfmMm8s/NjLu7pQtH8THY91zTtBMOQN4B9Wy0AxhWKYKgwMjRRwbCxZ2IHkkZUejVBB/gVwVDhJOXZZ5/lC1/4Anb7wDXA6upqqquruf/++9m0aRN//etfUaVJrxjrY95555289dZbaRkrTHLBMBQKceWVV/LKK68AkJ+fz0033cSCBQvo7u7mkUce4f3336ehoYELLriA999/n/nzJ0/c5mRCnZ+NKtNCqNeBt6keY8XMiR4SAIJajb6kDJ1gHtfjBjxOeuv3A+MXRxrFYMgiK2s23d1VdB7aQskpF45oPx333k9P/T6K/+NLGGfMTridymBENJoIu10E27rQlsd31aissmCYciSpMdIzY4wiSYfq/RD2pdjDMM2RpI4DeyAUQlNagLY4f9DvQ31OHK+8DUDlDaehz8ug+JLlFF+yHE9LL+1vHaLt3/vxNNlxfbBjgGAYiLhAtdkDRWRPQx3uo4dBFCledQE6Sza58yKLjpFITueuvYTdLlr+9TClN3w1ZRE+Y8kKTHPm0/XGy/R8/D7uLbvx7D6E9dOfxHL22mGL+VKaI0lFjRZDWSXu6iP0NVcNEAx76vbRvOMVPN0tZGZWUFiwgrzcxajVOjo6DtBhbyWjeDaWwlmIGvk8CPt8CKKIOtNGoLuTYKcdTVQwbO5BCoVjsZ2pEnXWaYoGCr1hZ8TlmgaHIcjncijgR/LEF7kEjQbJ44t9NuJuE40kTaPrpN9hOLRgaJoRcRgmEQy1ZYUgCIQcfQQdfagtycVrR7mAJUE0bTKkcAi/34FWmzhGdSJxueRFG4O1YEyPE3MYTrBgaKiQI7C8h+Q+hlOp/49CfE6G93GyzlWEaRZJWnDBYjIXFeMqmDHRQ1GYwpjWLsNXVUvHm4emj2ConxoOw846F/teaebwu+24ewIEvCEC3hBBX4iAt/86pTWqsBUbsRUb5L9LjFiLDORWmsmpNHHa9TNYe205O59rYvM9x+hucFPz982oTXqKLpSjZjvfP0L7W4dAFGJ9T5udZRT95juE3V7CHi/urftwvv0Rh3/3CsZSG+aZ8vzCb3dz8P+9SM/O+tiY5m7I4/QbZlK+wjZtv9NiDsMj00swlIJhyj93Km27e9GUFU70cBSmKMbVi6g8IxNDkXWih5I2xEgBlt8zdYtNFBRGyltvvcVVV12F3y8XJH7qU5/i4osvxmQysWPHDu655x56e3v529/+hiAI3HHHHZP+mPX19fzgBz8AwGQy4XKltq6fjEktGN59992xCfiCBQt48803yc/vX6D/6le/yne/+11uv/127HY7mzZtGjPb6FRHEAR0cypwb92Lp6560giGuvxCyr70zREt9o6G7mPbkcIhLJZizOaxXYyNR3HhKXR3V9F1ZCtFK88fYQ9HASkUwlNfm1QwBLlnndftItCeRDCMOAxDngAhjz9WsZqIWEVrmm8ypBQzScOB5D0Mw7EehumNJO2PI10W9/c9z7xOyO3HPCef3DPnDfidoTCT8mvXkLGgkD3ffQJ//UDRJBiNJM0aKBhKwQDa3Hws1jJ0lvjuwayZy2nd9xbehlq6332d7LPOS/k5qfQG8j71aTKWr6bt+X/ha2rA/vDzODdvw7BoDqpMS+SPGZU1A1WmBcGgi02aJUlCCgQJuz2EHPIXUzpjw4wz5siCYVMVeQtOi/3clFeBxmjFY2+lt7eW3t5aqo69QF7OIvp663F7OhHVGiyFszDnlRM0SqgjcaQaa5YsGHbZ0c2pALUaKRjE29Y37MlA1FmnKRzofgy50hdJCrJrM+Toi53bJxLtY5hUMIxGkqZRMMyZMQzBsFI+twMtHUjBIIJ68LVP1GlRF+QQbOnA19KUVDDs+fh9HPt3Uzz7TDJLU1+Et9fsoe69x8nKmMHiRdel/LjxQpIkXG550UZvG1yYkE6i3z/hCYwkBdCXlCFoNIT7nASa2+MWZChMLcrLy7nxxhv54he/SHFxan1GpxqTda4y3RyGWSsrYGUFtY2DExgUFFLFuHox3Q89i6OqDU+THUNx8nSKqUA0ktQ3CR2G3Y1u9v27hb2vNNNyMLVYZr87RNsRB21HBsfGFs7LYPWVZSy9sJjVV5Sx4tIS3v7bUd664wj1d79F9toZiFoVVf/7OgAZGzcgGvT0vfY+RKK5iPzRlBehm1uJ73ANVX94jeV/vhZBEDjyx9fp2VmPqBZYckERp39hJvmz5Tmy1xGganMHfe1enJ0+HJ0+nJ0+nF3yv33OIIYMDUabBqNVizFTg9GmxZipJbPQQOXqLHJnmCel6Fg4T77X9nU4CPR60GSmv6XHRKA26yi7+hTC65XvDoWRo8q0YC6ZXudQLJLUO7mLTRQU0o3P5+OGG26ICXd//vOf+drXvhb7/XXXXcemTZvYsGEDra2t3HnnnVx55ZWcffbZk/qYX/rSl3A4HKxcuZL58+fz0EMPjXi8USatYBgKhbj11ltj/3/wwQcHTMCj/Pd//zdvvPEGu3btYvPmzbz66qt88pOfHM+hThl0cytlwbD2GGz4xEQPZ0Ix51eSNWsVearyCTl+dvZcLJYSzDPny30cRyAYmgsqsdfswlM3dL8nTXYu3sa6pH0MRb0OQadF8vnxdbkwliQXDNURwXCsHIbpiiRNVzQmyP30on1ATWuWDPp9oL0L59sfATDzSxsG9bqLYo64rIId3YRdHkSTPCmLOgxPjCQ1Vs6i/Kvfw5QkPlFnyaZs7aepfeefdL3zGqZ5i9AXDm+BVl9UStlN36B3+xY633iBQH0Lgfr4TjB1bhYFP/8aYYeL9j/eT7B14LmVLochgHHmHHj9RRwtx5DCoVgPT43BzOzzbsTv6qXr6Da6qj7G19dJa+uO/nFE4hbzF5+Jsbz//VDb5EWiYIcdQRTRFGQTaGzD3WgflmAoSVJMKFMXnuAwdMkOw3QJhiqdngAkFAxFrYYQEEoSSUqkN2ZaI0kjDkN/t4uAw4vGkvgzp8uzoDJqCbn9BFo70ZbEL9jQlhcRbOnA29KEaU5iIdDX2oSn5igOc8mwBEOdJYuQ30On/TCBgAeNZnItjPj9DoJBDwgC+oyxnaBGPyNScGIdhqJajaG0End1Fd6DxxTBcBrQ2NjIrbfeyq9+9SsuuOACNm3axPnnnz8pF0tHwmSeqwhRo/w0cRgqKKQDlcWE5RPryatUozanN4FkohizFhGj5N17jvHqHw7F/q9Swdr1WjZeaKCiUo3eIKDXg14vRP4tIKqgtSVMU0OQxoYQjfUhmhpDNDaEqDocoOVQH8/9ch9v/3E/X3j4DHIrzZz15dlUbW6naV8vNfdsRqXXELC70RTlYb3kHNzb92N/+Pm4YxRMBgwrFrDgO+sRBIHu7bV0vncEUS3w5X+up2hBZmzb7kY3//jM2/TYk98/O7tkATERBXMsbHpkPRrd+LdjSYberCGr1Eh3gxvn0XZsKydmjURBYbJS25hLRUnHRA8jbYhKD0OFk5R//OMf1NbWAnDRRRcNEO6izJkzh7/+9a9cfvnlAPzkJz/hgw8+mLTHvPfee/n3v/+NWq3m7rvv5n//939HPNbjmbSC4bvvvktLi7xQvWHDBlasWBF3O5VKxS233MINN9wAwCOPPKIIhgnQz430MWyoRQqFJqRv4GTBlFtG5YayCetfJYoqVq/8Cr0zRy6qmPPlWKZU3k9tjrzgHGhJfpOjsmUQbO3E1+nAWJK86ladIU+03Xb/cIadOkPoGVIosgiW6HlHHIjp7NfpbawDSUJTWog6N2vQ713v74CwhG1lOdZlpQn3o8kwoM024e9yEWjrRDdD3jbslB1pavPgiN6MBgG0yRc3smetpKd2Lz11e+ndvgX9hZcP5+kBIIgi1tXrMM9fjGP3dgK9dkJOB0Gng6Cjj5DTQdjnJdjRje9oPT1P/rtfLBQERL0BXV4B+pL0TTR1hcWoTGZCLid9zUfILBno3NSaMilceg4FS87G1V5LZ9XHdB/bSdHK88gsnRd3n1ERLyq+qfNkwdDb0jussTkOtxHo9SDq1WiKBjoMgx0RITEjM95Dh03UTSsFEiwKReJGpWDiBWJBlX6Hod6swZytw9nlw9vam1QwFAQBY2kWjsOtBNuSCIalhbi37Mbfnji6FEBfWkHvti24OhqGNWZDdjEGWyEeewstrdspKz1t6AeNI719chSWPjM/Fhk6VgiRghUpNPGLjYbKmbirq/BV1cK56yZ6OAqjxGw243Q6CQaDPP/88zz//POUlpZy0003ccMNN1BYOLXjwSbzXEVUD/19MJVwVnfgt7sI6fSxCH0FhZGQ9ZkLKZlGi77qyD2Xu2dii35OpK1KdhQWFavY9DUzn9yox5Y1dOT/jJkiM2YOXqKy28M8+6Sb229z0NcnYW90k1tpRlQJbLhpFv/8xnac1R2xetPMyz6BoNVgCOZgWbSsP8FGCsspDgf3Ibk8ZF58Nvp8eT7ed0C+ni8+v2iAWAiw+4UmeuwSggCfukRPTq6K3FyRnFyRnFwVOXkiZrOAo0/C3h2mxx7Gbo/83R3m2JEgWz/201rl4NCbbSzeGD/xZyLJm2Whu8GNp7ln2giGfYdaCfuDSGZrLIlFQWEk9L78Lke8zZRcvnJaRJOqdPJ1VnEYKpxsPProo7F/f/vb30643aWXXkpFRQW1tbV8+OGH1NXVUV4+su/GsTxmS0tLbJ/f+c53WLZs2YjGGI9JKxi+/PLLsX9fcMEFSbfduHFj3McpDERTnI9oNhJ2uvE2NWAoq5joIeGuPUbrk//EaMln9nk3jeuxJ0osTBeGrAJUWgMhvwdvcyOG0sQXEm2uXPEeaE7el0Cdk0WwtVMWTZYlP74uV16w6WuL73YaKcfHXKZpj2naD/ja5ImkNk4PBEmScG3ZDUD+J4duqq7Pz8Df5SLY1RMTDIm6vsR+EdTf2Y7KaAJSc6nlzFtLT91enPt3k7fx0hEXBqjNFmzrz4z7u7o7/4CvuYGeJ14m0NSGaDFRfuO3UFvHpreHIIqYFy6l9+P3sVfvGiQYxrYTBMz5lZjzKyk79TIEUY0QcdT5nXaksDX2fyLnV/T/6mxZIPe2DU8wbH9Lrp7WL12IeNxEVAqHCTS1AaDNH69F8VRe+8g2aft8yWTk63F2+fB1OrHMTu4M0xdkyIJhhz3hNpqIu8zf0ZZ8X0XyZ8fd1YgUDve/v0MgCAK5C06j/v0naGzaQmnJOgRheL0rxxK7XXaOW4rGPj5ca7KSuWot6szBRRDjjaFMLmzyVdWcFP3vpjstLS08/PDD3HXXXezYITu/Gxoa+NnPfsatt97KRRddxKZNm6Zsod9knquoNZF+tYHpsRB09C9v0runkZybP4NpzdKJHo6CwqRBlyMXGaZ7PjZaFm8sYveLzfh8Ep++yoBGM7rvc5tN5OLLDPzmF3JUackSa+x3oYBcGKE26Qj0RNoBWEwAGMpnYCgf3Ps05PXiL/Yh6LWAXOAXcslrAxl5gwt663bI2/z41gw+e71pRM/hT7c7+L8/OtnxbOOkFAwzC2Tx2dcxOA52qrL7u48T9gYo+m05mjjFvgoKqeJ6fzs9jW3krJs1LQRDQSOvEQX906OwTEEhFRwOB++99x4AFouF008/PeG2oihy/vnnc+eddwLy/O3LX/7ypDvmzTffTE9PD7NmzeLnP//5sMeXjMmzOnYCe/fujf179erVSbctKCigtFReNGxra6OjY/pUDaYTQRRjLkN3zdEJHo2MFAwS7LUTcKfW1yAd9NTvx9leRzg88YsoGUc99NTto23fO8N+rCCIWArlxWTPEO+nLk928QSa25GSxFOpcyOiSQouq/4Jqiel8aZKbM1+Erbd8bW3Av1ixvH465oItnUi6tTkrBt6kV+XL/eKCHUeJ5pI8ntz/CJ5yxMPcew3P6Wn/kBKY8womo1KZyTkcuKOxKemm6hrMyqIFV5yLRpb1pgu7lsWLUebX4gxO7WYVVGtjYlHUjjEvn/9hqO//k8CfT2Rn0VOsMiY1TlWAHxtqV+LpFCYjrdlwdC0duACZrCrB8nnR1Cp0J7Qk3IiEcZGLyQjX15k8KewyKAvkKu2ow7MeETdmv7O5NcsbU4egkZLOODD2ze87/7sWStQaQ14vd10dR0e1mPHGq+vBwBL4awxP5Yhq5D8i68ie8O5Y36sodCXlIFKRajHkfT8UJgamEwmvvSlL7Ft2za2bdvGjTfeiMlkQpIkgsEgzzzzDBs3bmTGjBn85je/oa0teYHAZGMyz1XU2uklGKqMcuxi2DtGqRYKJw2hPid9h1pi/aenOtpIAWfvJBMMZ6/PxZSlpaszzOa301Oku32r7KLMm2XGmNnfOsPrlBMS1CYt4Ugsv7+umZaf/5m25/8Vd18qvR7RZCDQ0sGBX79AzT/eIxgRDHXmgU60UDBM/S55vrbqlOQtO5Jx6eVy/P2xDzomncAL/ffyvk7nBI8kfYgRUYRE6SwKCiki6ORCgtA0uQ8R1fJnI1pwoaBwMnDgwAHCkbWl5cuXoxrCXHH8/O74ed9kOeYjjzzCs88+C8Df/vY3DIb0ttmZtILh4cP9i3eVlZVDbn/8Nsc/VmEguvmpCUzjz/ioQ5IkUf/BUxx+/k/Ye4bu/TfWOBxNHHv9Xpq2vUTAM/yb8+hisrs2+fupsWWDSoXk8xPqTiwGRmM2va0pCIZj5DCczPijDsM4MYquD3cBkL12RqyfSDL0+RHR5DjB8EQRSwqH8XfIIqU+M7U+ZoKoonjVBRRe9TkMpRUpPWa4CMdFJNrWnTmgx1zI48bX1pz2YxrKK6n46vcwXHDGsB/r7euU4xYFUJtloTYqzkZ7+qlzog7D1AXDnr2N+LtciCYDhsVzBvwu0Ci/b9rc/PTFP6eq8iXbLEFfzdGSkS/fnKSyyKAvHHzun4g6x4ag1SAFgwTsXQm3E1QqdJFena72uuEMGVGtJWfuGgAamj4c1mPHmopLb2LxNT8jo3juRA9lXBE12phr1FdVO7GDUUgrK1as4K677qK5uZk77riDFStWIEkSkiRRV1fHj3/8Y8rKyrjqqqt4/fXXJ3q4KTGZ5yqqiGAoTRfB0BCJ5PZO7XQQhYnHvW0fO7/2T2r+8d5EDyUtjFUB52hRaUSWXSTfnz3zr/SMbftWeaG+fPlAp5jPIQuJKqOOxb+5ghV3fBZBr8Nf10SgK3lxRqi7l463DtP9cQ1Bl7x/vXlgCFfbEQd+dwizRWD23JEHdJVVqFl1ipZwGHa90DTi/YwVmfnTz2EoROO5Q9Pju1Bh4hD1EcHQM7nin0dKVEwPBSZhlb6CwhgxEXO3sTpmR0cHt9xyCwA33HADZ5999ojGl4xJKxj29PTE/p2TM7Q7Izs7O+5jT8Tn89HX1zfgz8mEPioYNtQgBSe+0irmSBqn7ym/o4uAqwdBVGHNnPhsfoulBIulGCkUpPPwluE/vmg2pnkLMc9fnHQ7QaVCmx3pY5gkljQmmgxTMExffOhxkaThVMWR+Nul20EVDgbxRyadmhMEQykcxv3xHgDyzo4fl3ki+ojDMNjVc9yOooKhfGkOdHciBYMIKg06SzapkjvvVCyLliFqR14Fm4zofnVFpeSc2x/DFvJ4qL/z99T93+34uxOLPCNhNO5FT7cs9OryCgZHkkb2q8oevmDY8absLjSuXISgHriAEGgc7zhShpW+m/LnK0UyhrHIkIrDUBBFNIXyNWuoWNJojKWzdfhFILnz14MgYLcfw+vtGfbjxxKtKROVZuR9blNFCocIuV2EPJNjsdFQLr+f3sM1EzwShbHAbDazadMmtm3bxtatWwe4DgOBAE8++STnnXces2fP5re//e2kTg2ZzHMV1TSLJFXpIw5DnyIYKoySSBHXdPlsROdj7p7ApOtFtfziEgDeet2L3T56F8uOqGC4wjbg58c7DI0lNiyz8xE00fvy+DfHHa88S9c//kUwUkgralWxSFLdCYJhNI50+UotKtXoCu8uu1IusNv5TENa58/poN9hOH0Ew6iLSgpOrs+GwtRDiNyHhNzTw2EoaJVIUoXx4cQ5jW8C7+XHau42Ecf86le/SmdnJ/n5+fzud78b0diGYtIKhk5nv0tBr9cPuf3x1kuHI/FNzm233UZmZmbsTzQe6GRBU5SHaDEhBQJ4mxsnejj9TqpxumHua5adeBmWUlSqsRFThoMgCJQUrwOg49AHSMOMSTXYCpi3/gasq9cNua02GkvalHjxvd9hOPTilDbLBIIcY+C2p+/GqT+SNE3nRJoMVYHONgiHEY16VLaMAb/zVdUSsvehMunIWj101QgcLxge57KKWNWFiAss2jPRYCtIuTdbFEvd2H2mrKeegWXJCoqu+XxMKJMkibZnHyNg7wZJIpjEFTYawn4fTX27CAVSv9Hw2CPO0OPEu9g1RxwYSRqwuwn5hq4cDAdCdGw+AoDxhDhSAH/EYRiNA04roxBP+3uEpmswMsNyGBb0OwyTXftjsaSRKOBEGCtnIer1CKrhV33rLFmUrbuChVf8AL3eOuzHjwXjvYDkaDnGsd/8lIZ7/jyux02EsUJ2zvsOTXwKgMLYsnLlypjr8M477xzgOjx27Bg//OEPKS0t5brrruPjjz+e6OEOYjLPVaZrJKk0TaLAFCYOISogTJPPhtqsQ9TL9z997ZMr9aVgbgaF8zMIBODFZ0dXlOR2hzmwT74/L18x0GHodciCocp0XJFVrAgz/v769uzA+e42wi6556GoVcciSfWWgZGkdTvkudrKUcSRRjnvAj16PXTUuGjc2zPq/aWT2L18h3PSiZkjRdQqgqFCepiuDkNFMJw6aBu06Oqnzh9tg/ydWVpaOmBec9ttt03YazhWc7fxPubTTz/NE088AcCf//xnbDZb3O1Gy6QVDMeKH/3oR/T29sb+NDQ0TPSQxhVBENDNlp11nrrJtBg3PjeljhZZMLRZBzc/nyjy8xaj0ZgIuHrpqds3ZsfR5cp99/zNyQRD+ULj73YNKZqIGhVam9z0Pa2xpGPYB280+Noi/QtLCga53VxbdgOQe/psRG1qokW0h+GASNLY5HawYDhc/K5eut5+lc43Xh72Y4fCWDGTwis+i8baP2Hv3fYhzgN7Yv8PB8fmZrr+73+i9YkH6W1IracjHOcwPN7tF+2LFxEMRZMxVjnoax/6ZsC+vZagw4vKakE/b/D1JNAUiSTNG0eHYZRkk/zoqZtuwbBgGA7DPAsIIPkDhPsSC4yaovzIPpM7DI0zZjPzh78i69orhzHifnLnrUWfmUvvzLF386XC1m1/4cgrd+HrGxvRfRCT7JJrKK8EUSTY0T3Qga0wbdFoNBgMhtgkSjiumMzv9/Poo49y6qmncskll9DYOAmK3caYdMxVVNNNMIxEkoaVSFKFURIVDMPB6bFIKggCupzJ2yZixSWyy/DpJ0YnGO7ZFSAYlF1w1qKBPXq8TnnOoTZqqb3/fer/+RFSIDoPSXCTE7lXjgpJAwTD4xyGkiRRt1N2GK5crWG0mC0in9wYdRlOru+zjDz5OzjsDcTcllOd6OedSZCspTC1EXTyOkHQMz0Kl2I9DP3T4z5RYfLS0NAwYF7zox/9KOn2Z555JoIgpOXPo48+Ok7Pcvyw2+185StfAeDiiy/myitHtgaWCpNWMDSbzbF/e71D3/x6jovSslgsCbfT6XRkZGQM+HOyoZ8jO6A89ZMg7mscxSFJkvoFQ9vkEQxFUU1x0SkAtO8ffj8NSZLwd3fhaUjev0sbEQwDTYkjSWXRRF40T8VlOBZ9M2KnxFCVjeMsLEbFu0FxpMEQ7m1yM9q8s1KLIwXQ58nXHsnjI+yKvH7haEymfGn2t0cEw6zhi05+Vw9db76C/cN3CQfG9sbW19ZCxyvPyP9RRfsmjY1gaJ67EAB79a6UH+OxR91+x72O0sDXWhAE1MOIJW2PxpGuXjLI/SkFgwRa5Bg93ThGkqYU2zpGru5+h6FjyH2LWnXs2hHsSNzHsN9hmFwwFFSqYTtwExEOT+yCgtfbg9PVQl/zEdR607gcU2BgTO9EI+r06IvkBUbvwWMTPBqFseTAgQN885vfpKioiOuvv54PP5R7iUqSxIYNG/j1r3/N0qVLY67DF154gVNOOWXSiIaTea6i1kyvHoZqQ9RhOD0WsRUmjn6H4fQREKKxpL2TUDBc8qliNBrYvzdA1eGRzw3640izBt3v+iKRpCqDlroHt1Dzj/eQooWBQ9wa9wuGKkLRHoaWfsHQ3uTB0e5Do4HFS9OTThSNJd3zSjMB3+S5RmsNKgyZsijq6xg6MWQqIEZ7GCoOQ4VRMt0choLSw1BhnDhxTqPTTVyR9ljN3cbzmN/4xjdobW0lIyODv/71ryMaU6qMvGvzGGO1WrHb5YXEzs7OAS9yPLq6+ivxrVbrWA5tyqObUwHIgqEUDqdtoXUkiFod2tx8dIbU+7ONFG9vO0GPA1FUk5lRNubHGw7FRWuorX8HZ1s17s5GjDklKT+2r+kwtf/4O9qcPCpu+WHC7WKRpM3tSJIUV1wQBAF1ro1AQyve1l5M5cnfF22uBara0jpBFcZI0Bgt0VhEbXH+gJ979x8h7HSjsRmxLks9Nkxl0KCxGgj0eAh22dGaDP2ut5jDUD6mwSaLTl1Ht9NTt4/M0vnYKpcm7W9myi1Da7bhd9pxVR3EsnBwbOZICTodOPbujPQ9c+M+cggpEES/aA5IEt79R+jbtY1ATzdqcwYqSwZqswW12YJoNI2qH6Fl8TK6332d3saDBH0e1DpD0u1DAR9+h/z9oBsQSTrQYQigzrYSaGobUiwPeQJ0fiALGaY4caSB1k4IhRF1OtSZ1lSe1rgxZpGksarkIEGnD40ledyCviATX4eTYKcd3az412NNcUQw7GxL+bsqlXMiHn5XL40fPYuvtYk1p3wzJiSPN/Ye2flvyilBpR06siItpFqkMY4YKmfhbazHe6ga82krJ3o4CmnE5/Px2GOPcddddw0QCAEyMzP53Oc+x5e//GXmz58PyG67Dz/8kJ/+9Ke8+eabtLW18Ytf/IK77rprwp5DlMk8V5lukaSZS0uZsWkDTsvMiR6KwhQnGqU/XRyGALrsaAHn5BMMTTYts8/I58Abbfzhvx1cf5OJsnI1tiwRvT75fMDrlejsCNHRHubxf8rRoSf2LwTwOuQFfFHXv7QliPJiuLvmKEGXE7VJfo1CLif+7k5CLlkQkyLOM1HT7zDUmfudhNH+hWXlatK1ZLJoiQZLhoCjL8iht9pYfH5RenacBjLz9Xh6A/g6HJgqh+61NNkpumQZgR4PvvyxX2tSmN5kfPI05l41E03m8OeZkxElklRhsnLFFVewbNmytOxr7ty5A/5//Pyrs7NzyMenY+6WzmO+9NJLPPjgg4DcwqKkJHXdYCRMWsFw7ty51NTIDriamhoqKiqSbh/dNvpYhcRoy4oQtBrCHjf+jrZxdcCciL64lIqv/2BM+61FcbXVApCRUYYoTq5TX6fLIC93Ec6wnaDXNazHGrPli4S/q4OQ14NKH/8mRpuVA6KI5PUR6upBnRM/51idm0WgoRVPc8+Qx9ZHKlp7mtzDGnMyYuv0Q9y7RPv8xUS2E38fFUYS/H64+Ltkx1jU9RTFs68KkONIBdXwZpL6/ExZMOzoRltWJLvzQmGkkLzAZ1m4FEGtwZgjC5HNO17B7+imp3YPDR8+zezzv4Q5P37PREEQsFUuo23vWzgP7UurYNj52ov07RzYT0qVaSHnS1dhf+wlAFxVB3BVDY4N1diyyd14CeZ5i0Z0bG1eIdq8AvztrTRte5Hy9Vck3V4QVeRdeDl9u7ejMvUv5kYdkNGFI+jv4elpSux6A2h+YTdhbwB1XjbaGYNFYl9VLQC6/KJRiaMnEj2XE+1TCqdwHR0jcUijV2HI0ODpC+Dvdg0tGOZn0ru3aWAPzxNQ52aBWoUUCBDs7UFjy0q4ra+9laaH7kYMwuKrfzzs8au0evqaqgj5PXR3HyE7e2LuIzo65c+MpWj2hBx/smCsmIV985t4lT6G04b9+/dz11138dBDD8UauEeFwuXLl3PzzTdz7bXXYjQaBz321FNP5fXXX+eiiy7ixRdf5I033hjPoSdkMs9V1LqIYOifHi6qjHkFZMwroLYxd6KHojDFCbtlUU0QJ1ke9yjQ5cnzse6G4c0hx4sVl5Vy4I023nrdx1uv97uE9XqwZYlYbSI2m4jJItJjD9PZEaKzI4yjb+C9qijCjFMGCj+9rR6a9vcCoM02I2hUSIEQ/oZmUKkgFMLhqsI4X553uLYcoPPv/RFlaqsFQS2isuhi87iGPXaySuTvImenPN5jR4Octbady64wsGiJhuJSFSVlaqxWIaV7fbc7zNuv+3j5BQ/vvOXDH3kZ2o9NLiefJU9Pa5UDf/fkPJeGS+EFSwCobVQEQ4XRobJaMJZMvqKMkdLvMFQEQ4XJxde+9rUx2/fx86/j52WJSMfcLZ3H/Pvf/w6AyWSiq6uLX/3qV3H3sWdPf6uo559/PpbOs2bNGj7xiU+kPPbJpZocx+LFi3nllVcA2Lp1K2eddVbCbdva2mL9PfLy8sjNVSaTyRDUKnSzK/DuP4K75uiECobjia1yKXprHuamybl4smDelThmD14oGwqNwYzOko3P0YW3sR7TrPgXMkGtRpdXgK+1GX99c0LBUFOcj2fHAdy1Q/fPMpTK++isSd9kJzqBH0roizUxTxApFI1WDfvSE18V8siiqJgx0EEQaJaFRPPs/EGPGQpDsRXH4VYCbfJrrc6yyn27envQWG3knHuB/POIoB4OHPdcBAFDVn9FqrO9Dp3ZhsbYH12WWTqPtr1v4T5WldBVOhKCfT0A6BfPQVdRgmgyYDxlCaoMM7arL0BbVkTI3keo10Goz0Gox0Go10HY6SZg76L5n//ANG8heRsvSyoCxUMQBHLPv4SmB/5G56EPySyZh7U8sfgoqtRYT1lP5up1A37u75are6IiIYCmVHbhuqo7Eu4v0Oeh/uEtAGRedFbc19S1ZRcApvmLU3tSKRL2RRa5DPGdpbEq6WR9NKNrL2MQ6aszq/H0BQi5h47A1WbLcZuh3sQ9DwWVCnVuFsGWDvxdHUnPFU2mlWCvHSQJv6sXrSlzWGNXaXRkz15F+/7NNDV/PCGCod/voLNLjrrNmrF83I4bLVBApRq3Yw6FoawCBIFQp51gVw/qbOtED0lhBHi93pibcMsW+boZFQn1ej1XXXUVN998M2vWrElpf9dddx0vvvjipOk/PpnnKhp9pE+bb3Le8yooTBS6WWVU3nQ6atM4ufjHAdMM+XrScmjoSP2JYO6GPK64bSlVmzuo29GNs9NHKCjh9UJLc5iW5sRzPrVWxJyjw1pkYN1nK8mbKYujkiRxbEsXr/3vIfzuEJb5hWStqqD8s2upvfd9XO98TPb1n6b3pXcG3DcLOi3q3CykcBjTmqUs+eI8XGfnIOrUaG0m6u7/gJd+c4DZ63MxZmpZ85kKfK4g259qoKvDx913DhTSTGaBklIVxSUqcvNUBAISXo+E13vc316JmmMhPJ5+ATSnwsSi8ws57QuTp00KgM4kzyFC06RPm4KCQnyia27hVAqOFRSmCQsWLEAURcLhMDt37iQUCqFKsgaydevW2L8XLRqZ4SGdx4zOo10uFz/72c9SOv5TTz3FU089BchxptNCMDz//PP57W9/C8DLL7/M97///YTbvvTSS7F/X3DBBWM+tumAfv4MvPuP4Kk5im3t6RM9nHFBpdVjzq8k0zk5+5+IoorMYz56Zw4/09mUV4HP0YWnviahYAigKyyWBcO6ZowrFsbdRlscEU1qEosmUYyl8gJ+OgVDURUVDIfugwaJe+WJxkhEom/0lWBSOEw4KhiaBjo4Ay1yT0hj2fCELwBDiSy4Blvl11qVLQuGgZ5uDOWDnYPhkLzwt/aUb4MgYKyH3pnyF0fd5scJBbws/PT3YlGGprwKBJWGkNOBv701bcUBURHWctaaQeeRKsNMxnmnxX+c10fvc2/S9+/NuA7tp7a6iuwzPolt3YYBTr+hMM2ai23dmdg/eJuaDx5nYU5pQoHIUS6fT8cLe5IkEeiKCIbHRdRoy2QB1lHVRu++JjIWFA2qQK//50dy5GZJAab1KwYdL9jVIzsMBQHLomUpP6dUCEcyz0VjfBdxVDw/PpIpEWPRAlRrjCwypCIYZkUEw57EgiGAJj+HYEsHge5OIPG1TdTp0RUU4WtpwtlWQ9aMZSmPO0rOvFNp37+Zzu7D+Hy96HTDEx1HS2vbLpDCGHPLRtS3dKSEw7JgOJzP4Fgj6vToCkvwNTfgq6pFfeqyiR6SwggoKiqit1d2fkQnOLNmzWLTpk3ccMMN2GzxC5cSEd0+FJocMZuTea4SFQxD3unRa0eSJFw1nZiajuAsXo2g1Qz9IAWFOKhzsyhbfspEDyOtWGbL6SdtVQ5CgTAqzcS1G4mHIAgsu6iEZRfJqTiSJOFzBXH3BHDb/bh7/bjtfrzOIMZMLeYcHZYcHeYcHXqLesA9fCgY5sBrrWy+9xjNB2SBVGtQMedbn0AQBcquXYPzaDudm4/Q869/U/BfX0Nt67+fMy5fgHH5AgAqSuT5VzR6s+yaU+h4+zCuui7u/vyHbPjSLBZ9spBzvz6Xs748m8PvtLP/9Va6G1zYmzw4O324nBKHDwY5fHDo4gxbiZHF5xey+PwiCuZa0ppCki60xsh3xzTp0wbgbe1FfPcj/EvOQG0dfk9gBQUA984DVL9yCNvyMmwryyd6OKMmVqQfUgRDhZMHi8XC+vXr2bx5Mw6Hg/fee48NGzbE3TYcDvPvf/879v+NGzdOmWOmi8mzOnQCGzZsoKCg2IeKlQABAABJREFUgNbWVt5++2127NjBihWDF2dDoRB/+tOfYv+/5pprxnOYUxb9PLkHiLv22IT2MQz09dD0wF2oAgILPv3dCRnDZCPo8+DrbceUl/qNiDm/gu5j2/E21CbdTldYDDu34q9rTrhNzGVV24UUlpJG9hjLZLGlu8FF0B9CrR29Q6U/alRK6oqLiiJSgrgt0RDtqTZ6wTDs88UiHFXHiTVhr49Qt7wYGhVPh4MxIhgGWiPiVY4NHxDokWMaA709hD0ujH4bKq2BcFCevKlUWnQ6ecKTecxHMOjF2yP3O3Q0H8FaITvbRJUaS8EM+poO4z5WlT7BMJKjE3Vxpoqo12G7aiOm9SvofuAZfIdr6Hz9Rfp2bSXvwssxzkg9hjH73Atw1xxBV1iMZ6aB6rv+hNZsJaN4Lhklc9EYM6h+4wH0KxdjWbwc4bgqnrDbRdgrNxNW5x0nGJYUIOo1BB1edn3zUXT5GeSdNY/8c+ZjqszB09JL07O7ALBdtTHuddP1sWz/N5RVoklz/8KwTx5z9NweRFQwTPI5HMveoDHB0DsMwTCJwxD6BV1/19B574aySnwtTbjaakckGBqs+ZjzZ+Bsq6a5ZRuVFecMex8jRZIkWlq2A5AzZ3wXMrXGDDKWrUJtHf41bCwxVszA19yA93ANJkUwnJJEo0dVKhUXXnghX/nKV4ZV1XgixcXFfP7zn0/T6EbPZJ6raA3TSzAUBIHd33mcoMNL4S8r0ZaeHOkoCuknKhJNJ/SFVlRGLUG3n44aJwVzJrcoIggCerMGvVkTi/4cioA3xI5nGnjvvhrsjXIRp0Yvknf+UkquWIm+IDO273nfP5+djXZcNZ00fes2NKWFiEY9ol6HaNQjGPT4qxvI/t6ZWOYWxI4halTM/d75HPzRY7QfdfLE93fxxp+rOP2GmSy/pJgF5xaw4NyCAWPqafZgb3Zjb/Tg6vah1qnQ6EQ0ehVqfeTfBhUZuXry50xOkfB4dLF7+enx3QFw8P+9SN+BFmyfsSYsalVQGArvviN0vPExglqcJoJhJLpecRgqnGRcc801bN68GYDbb789oXj3zDPPxOJB165dO2TrifE45jPPPJPS8a6//nruv/9+AO69916uv/76EY17cpWfHYdKpRpgsfzc5z5He3v7oO1++MMfsmvXLgDWr1/PeeedN15DnNJoK4oR9Fq5j2F7y4SNQxBE/O2teHpax3QhO+T30rDlGToObRnT44wWh6OZPf/8OUdf+8eweu+Z8ioA8DbWJX2criDS77A+iWCYnwNqFSG3H29b8mgbbbYJlVGLFIauuvT0OhDVx02kktzAxByG/gQOw6hgGBFZRkPIIz83QasZUNUejESJaqwGNBmDXV8hTyDp+WYokRfojxcMAYI93QC0PHofdf93O47WaqRwCLXOgKjWIooDK+vVaj0lxacC0NtwcMDvMornIOr1hAPpi5aJOgzFYQqGUbTF+eT/8Etk33QVYoYZf2c7jffdQfuLT6X8+RTVakpv+BoFl15DyO3E1VGHvWY3de89zt5Hf8m+x2+jp24v7S8+FRM4o0TjSFVZmYjHvZ+CVkPe97+Eaf0KBL0OX1sfDY9+zLab7mfbTfdz8NcvIAVC6BfOQr94TtxxuSNxpJYlgxeNR4MUDve/7sb4gmHUbZs0knQM0ZkiC9TuoRcZtLaoYJjcnazJl6u+A11DL/AZymRXrrNt6Gz4ROTOlz9HzS3bYs678UEiZ8UGzIUzRyR2jgZjTgkFn76WnLPPH9fjDoWhXI7p8lWN/P1UmFgKCwv56U9/Sk1NDU8//fSoxEKQY1nuvfde7r333jSNcHRM5rmKxjj9IkkNxQOLrBQUhovzg520vXaAoHP69KECudjSPDMSS3pwcsaSjhR3j5+37jzC7z75Js//aj/2RjfqDD3lnzuV1Q9vYtbXzo6JhVFUBi0Lb72EsuvWojbrCDS04Dtcg2f3IVwf7sL55hb8tU3s/t4Tg86FjHkFrHhgExXXr0Odoae7wc2zt+7l9vPf4r37qvG5+6+pGr2K3Blm5pyWx5pryjn7K3M444szOfWzlay6ooxlFxaz8BOFzDktj4K5GZNeLITjHYbTJ5I07+z5ALg+2j3BI1GYyoS98jxcZZgmCQcqxWGocHJyww03UFZWBsj9/f76178O2ubIkSN89atfjf3/l7/8ZcL9VVRUIAhyP+O33357XI45XkxahyHATTfdxNNPP81rr73G/v37Wbp0KTfddBMLFiygu7ubRx55hPfeew8Aq9XK3/72twke8dQh1sdwbxXu6qPoCoonaByRU1CSkMIhBNXYnJLenjba929Gq7Uwa9349YYaLiZTPipRS9DrxNlajaVoVkqPM9gKEDU6wj6fHD1ZUBR3u+jPQ929hBwuVBbToG0EtQpNUR6B+hZc1R0YChPH8gmCgLEsC8ehVjprnOTPHn1Fq3ico1EKhWMN6Adtp0seSRrtV5EWh2E0jtQ8sAo22N0DgD5/8GvkPNbOjq8+TNbqShb8/CJE9WDXl6HYKu+/z0nY7Y316QpEBENRF3kOAR+CqGLpdb8g81j8SN3s7Lk0Nn1Ib+PBAc7M3PnrMGw8Y4DDbrSE/ZFozBEKhiCfO+b1KzAsm0fPk6/ifOsjej56D7U1i6z1Z6a0j+jro86wUnrjLbiOHsJ99DDepnr8Tvk1tK49HZVh4PsWL440im5GKboZpYQ/H8Cz6yCuLbvw7j2MqyayQClE3IVxJv2Blg7ZvasSsSxYkupLkRLH9+JM5DCMRZJOkGCojfQ9CaYUSSq/Jyk7DLuHXiDWRwRDd3cTIb83Fs07HKwVS1Dpnsbn66W7u4qcnPnD3sdIEASRnLlryZm7dlyONxWICsCB5vaE31cKk5v6+vqkPRqmA5N1rqLVT79YOUOJFcehllixloLCcJAkid5nX6errYv5P7mQvDPHv1fxWGKenU/v3iaaD/ay/JKSiR7OqLE3ufnggRq2PdVAwCMXcOkLMii5YhUF5y9CpdcQDoRofmEPQYeH0qtWD5gzGoqsVH5hPdmnziDo9BFy+Qi6fATdfvnf7gBZp1SgNg++V/R3uyi5fBUll6+i5eW9ND6xFUe7k1d+d5B37jrKGTfOZO11FWh00+/7LZYWMo2+O3I3zOHo/72Fv7qBQFtnrBhRQWE4SL5I0pN+egiG/Q7DCR6IgsI4o9frueeee7jgggsIBAJ87Wtf45VXXuHiiy/GZDKxY8cO7r777lhbjZtuuolzzz13yh0zHUxqwVCtVvPkk09y7bXX8sILL9Da2hpXZS0pKeGxxx5j4cL4PdkU4qOfP1MWDGuPYlsX3xI71gjq/i9cKRSAMRIMPT1tAJiMeWOy/3QhiipycxbS0roNe83ulAVDQRQpWX0hgTJL0lg5lV6PJiuHQHcn/rpmDIviR0BqSwtlwbCmg5z1ycdgLMvGcaiVjur09DEUVMcJhkkchqqIYBhO5DCMuLBCaehhGHJH+xeeIBh29QCgy7MMekzne0eQgmG6PjxG1R9eY+53zxskMqlNOrRZJvzdLgJtnTGHYTSSVIgIYiH/0M/BmlmJKGoIuPvwdDVhzJEXC0S1loxGcKQpOUOSpJh4FRVlR4PKZCT7c5eiKcrD/tBzdL76PLq8Akyz56W8D0GlwlBWgaGsAs4+n5Dbhbv6CMG+XjJPWT9oe3/ErabJSzxhFLUaTKcswXTKEkIuN+5t+/HsPIBubiXa8vgFFq6Iu9A4Yw4qkznl8adCzCmrViNoBl8nJUlKTTCMODjHosp5JJGkksdL2B8Y4PQ8npjD0N6FFAolFb41mVbUVhvBHjuujnoyiuO7QJMhqtQULpNdUJnq8YubGUnv2nQRDgUJ+yUElSqthQWjRWUyo83Nx9/Rhq+qFuNK5R5vqjHdxUKYvHMVjSFyjzSNYuViDsM2xWGoMHwCTW0E27oQNCqyThncJ3yqY54lz3Gb9vVO8EhGR8uhXjbfW82+V1oIR5wv5pm5lFy1mrwz5w4qJK1/5CN8bX0gCJRdMzDSvf2tQ7jru9HlmtHlWDCWZaPNMaM26xLeBzc8vpXqu95FYzNSef16ii9ZRtFFS2l7/QANj23F02jn378/xEeP1vGJb8xl8caiAcWuU53p6DDU2kzYVpRj31aLa8turJeMX8sBhelDdP1DZdBO8EjSQ6yHoRJJqnAScu655/LYY49xww030NPTwwsvvMALL7wwaLubbrqJO+64Y8oec7RMasEQ5AaRzz//PM8++ywPPPAAW7dupb29HYvFwsyZM/n0pz/Npk2byMxM7IJSiI9+nhz35ZnAPoaCWg2CAJJEOBhApR0c65gOfH3y4oLRmDsm+08nebmLZMGwbi+lp16W8vuSO38djvKhJyy6ohJZMKxPIhiWFOACnMeGjgE0lskCZWdNegRDMUXBMBZJmsBhmM4ehqGYw3Dg+RmKCoa5gwXD3n39sa9t/96PLtdC5fWDxStDiQ1/t4tgaye6WbJNPdhrRwqHESMOqVAgvqvweFQqDVm2WXR2HaS38VBMMIwiSRLBHjsa2+j6lEnBQKwUbTQOwxOxnHMq/rpmXJu30fLkA5Td9C202SP7vKqMJiyLliX8faA7scMw7v5MRiwbVmPZsDrhNpIkxaJuMhanN44U+s/jRHGk0f6FkLyHYYwxWNuI9T1JIZJUZdIhatWE/UFCvQ7E3PjnpSorE9RqCAYJ9vWgsSV/zzKWriLs9aAxDP5Mpkr+ojMAcENCR2866ew6jN3XR9bMFah1qfXySevxD2+h4b6nMS9cStHVk6c/HIChYib+jja8VTWKYKgwaZmMc5VYD0Pf9BEMjZFUhqAiGCqMAPf2/QDYVpSjNk6PBd/jyVwop8g07e8l4AtNKfdbOCRx5P0OPnyohqMf9H++rSvKKL16NbYV5QiCQMgboO2lvRRsXISoViFqVKgqKqFtN7X3f0DO+lmxnvKtr+7n8P+8Evd4ol6NLsdC4cbFlF7df2/f9VE11X9/F4CA3U3VH16j6emdzPvPCyjcuJiCTy6k7Y2D1N77Hj3NTp74wS4+eKCG8787n8rVqc0pJjtaQ7T4b/rEWQPknT1PFgw/3EXmxWdPiXhYhcmF5JNF9OnjMJQ/A2ElklThJOWyyy5j7dq13HHHHTz//PPU1tbi9XopLCzktNNO44tf/GLCXoNT6ZijYdILhlEuueQSLrnkkokexrRCW16EYNAR9njxtTahLyod9zEIgoCgViMFAoRDY7eo4euT44sMBtuYHSNd2GwzUasNBD0OnG3VWApTcxmmir6gGOe+XXJ0YgI0pYUAuKqHXpSJTsw6a5JHC6bKiZGkCbfTyTdrkj/+hKa/h2H6IklVCRyG+ryBUaxSKEzfQbk36NrPVrLloRrqH9qCLsdM0YVLB2xrKLbRu6eRQGsHxlMWgygiBYOEXM4BkaQ+Rxe17z6GMWRk0cLPxB1ndvZcWTBsOEDhsn4Le8DjoPaPfyHY18PMH/wytt8RvRbHRWMKuvQtuAiCQPbnLiXQ3I7/WD3N//wHxZ+9adQCZzz8kUjSdEbS+OuaCbZ2ImjUmOcvStt+o4SiguEQcaTQH9cbf8O0DmsA0UjSVKqSBUFAm2XE29pHuNcBCQRDQRTR5GXJ50VX55CCYc45GwEw1KXniXYVB/Bu3UVxUWKxeDRIkkRd3Vv09tUT8nkoXD66Hm8jGkOkV+NkchdGMZRX0rv1A3xVtRM9FAWFIZlMcxVNNJJ0GjkM9UWRPs9KJKnCCPDskAXDnNPSO6+aLOiLrGhsRgJ2N037e6lYkf7753TjdQTY+kQ9Hz9eh71RTtIQRMjdMI+Sq1ZhmZ0PQDgYovHpnTQ8vpWA3Y2oUeFddBYAOV++hnaXB+++Kg7f/irLfn81ffubOPqHVwGYtS4HUSXQ1+alt82LpzdA2BvE02in+u/vIurUFF+6HFddFwd//SJIYN5wCpqiPBwvvI63vS/Wd1tQiRR8ciG5G+bQ9OQOmh/bQtP+Xu75whbmnZXP+d+dT0751I5Pn44OQ4Cc9bM4olUTbO0gUN+cMC1GQSER000wJGJKUByGCiczhYWF/OIXv+AXv/jFiPdRW1s77sccivvuu4/77rtv1PuZMoKhQvoRVCr0cyrx7D6Eu/rohAiGIMeSSoEA4eDYLWpE+5np9ZNfMJRjSRfQ0rqd7updwxIM3dVH8NTXYF29LmEkoq5QvkH21zYl3I+2tAAAT7OdkMefNHrBWN7vMAwFw6jUo3OqHh9JmixUPRpJKvnjT2iiTqyw1zOq8cBxDkPjCQ7Dbjn258RIUldtJ2FvAJ1ZzXnfW4jeouHtO6o4+sfXCXuDFF++IlbZaCyJRGw1tyOoVKhsGYS6evB3dcSEvaDfTcjnwdl6DL82sXMqJ3sejpUbySxdMODnar0ZMSAhBYO4jhxM6r4b8rVwuwBZLEy3K1nQqMn9+mdp/a+/4O9oo+YPv0JtzcJYMZPMVWtjPc1Gg7epAV9LIwCassJR7y+K892tAJjmLETUDb933lBEz+NEDsNw1GkrCgn7fo41w11k0NhMeFv7UuhjmEOguZ1AVwfMGr+eQ+Ggn8Mv/BVvbztIYYqL16T9GE3NH9HbV4+gUpM955ShHzAGSCFZbJ6cguFMQP6+Cnt8iGmIQVZQOBnovx5PH8HQWGIF5N63YZcH0TQ2qSQK0w9fdYNcKCkKZJ86c6KHMyYIgkDmomI6Nx/hyHsdk14wrP64kyf/cze9rXJBnNqsI/+8RRRfuhxD4UA3dvWd79D0zE4AVDk2ujw5RGU5QRDIvv4yWn5yO337mujZ28iR379KKBBmwbkFXPP7FQOKUQPeEH3tXnY+18jbdx6l+o63yDltNjV3v4uxPJug3krWf1yMoFZjWr8Cf30zWtvAglGVTkPZtWso2LiYugc/oPXFPRx6q43a7V1cc/tKZp06dXvk9fcwnF6CodqkI3vtDLq31xF2j76YWOHkI+yVi6ZFw/QQDKNrborDUEFBIRETs6qoMGnQL5DFKHd11YSNQZOVjSYnL9ZbaywIeOW4TF0SsWUykZ8nu9B6avfG3B+p0PXcM3S9+Qru2mMJt9EXy8JwsK2TkMMVdxtVpkWOApTAcbgt6TENhVZURi0Bb5j2o2lwGR5/GiSJC1GZIu67BDf9YoYsmAadfaMfUijiwDmhd1z05ydGQPrtssBoLTQgigJn3jyHNddWIklw7M63OfrnN2LuSctcWZz1HalFkiR0lfL746mrRpst9yPxdLegNVvlffsdBIPxn7NOl8E8y+kYs4sG/FwQBDLL5Dg/97HRfdZdVQcB0M4oGWLLkaG2ZpD3revRzSoHUSTY003frq003P1n2p59PCZYjoSQ20XzY/eBJGFYuRBNAlfbcAl22mOCoXX1urTsc9AxIuexKiN+IYDkkScxaqM2eczOWPYriOwy1ZgfTYa82BtyJhf11Xny+xSwd6e033DATzs1BNyj++yLai22GcsAOHz0OTq7Do1qfyfS21vHkWMvAlC8ciNa08REq0cjj0Xt5BPjon0pkSR81fUTPRwFhSmD3tzfwzBZWsNUQm3WU3HDaSz61WUICfreKiiciBQI0nXPvwDIO2seWuv4R3+PF7kb5KKqrU/UE/CmPn8cT4L+EK/87iD3fvEjelu96AszmfOdT7L20U3MuvnMQWJh22sHYmKh9dOfpPg338W0evGAbUSLCSKXuZDHj6epB5Va4NO/WjKov6BGryK7zMQ5X51D0YIMwiGJnl31LPjZxaz487XkbLpGbpkCqMxGDAtmUduYS01dFq2v7qfl5b2xfWltRmbfci4r//55LHPy8fYFue+mj3j653vwOqZmsYZGLy8Phv2T8/wZDeX/cSqr77meeZ/IGHpjBYUTKPjxzSz74zWYZ0z+FkcKCgoK6UARDE9y9AtlwdBTV004ODFZ9eWbvkXlLT/EkJU+t8+JBL2ygKPWTI1Jos02gzmzLmLBZd9BEFN3fVgKIgJwzdGE26iMJrQ5shDlO5Z4AVY3Q+6n13cgcXQpyPEsGfPl965hlz3lsSYifNzCVjKnlNoSEQxd8cUGtVWeDIQ9HsKBUVZJSjElZODPhfjiS8glL8DrLJrIZgIbf7iQ8767AEGA5ud2s++nzxB0+8lYUIigURHqcRBs60Q3twIAT10NhvJKMk9ZT+78daj1ZrQm2Y1otycWhBORUTwHANexKqRRiPPOA3KfPtOqxUNsOXK05UUU/ORmSv/6c/K+cwOm01YC0Lt9C7V//m/6dm8f9nOQwmFa/vUQwR476rxscm64Ii1jlUIhOu96DIIhDBUzMc6I3xd0tAT7ZDerKiu+qBR2y58DtTm56BP9TI2FYBgKyJ9dQZPaNSs61ujYE26XE3Hh2lOLoWt+9D4a7vkL9tq9Q288BIXLP0n27NUgSew7+Ch9jsTO7OHg8/Wxd/8/kcIhbJVLyVs0cVn1oUAk7nYMnLHpIOosVmJJFRRSJ3r/ARB0Tx+nSPm1a8heO2NQAZeCQiKkQBDbHBsaq5FZXzlzooczpuSePhtdfgZuu59dz6fnfiVdSJJE1eZ27rzmfd67rxpJgoKNi1l11+co3Lg4bsxf38EWDv9ejhbNuPAsufecevA9pvfgMcL+ILo8C/4uuUi4ZKkNvTlxYYEgCMw4RXYC9uxuQIzcuybqz+7eLvdErP77u4Oc28aybJbefhXFly4HYPuTDfzp0nc59HbyotvJSLT3Zdg3vXoYApgqc9DlxC+8VFAYipkLPGQuLEZtmnwFlgoKCgpjgSIYnuRoivNRZVqQAgG8DbUTPZwxY8Fl32bexd/EMAUiSQEEQaSk5FQ0xuFVwJkL5ZgdTxKHIYC+rAIA39G6hNvoZkUEw0gvvmRkLJAdbQ27U3MAJSMc7BcykkVeasyRyNEEYoNg1Mcq0IOOUboMEwiG0WbRJ7pjgxHBMFrhLz9UYN3nZ3L1H1ah0Yt0f1xDw6MfI2rVsdfPe6ga/ZwK+d8NtWhs2eRfeDmas1YAkDVL/ruu4d2EgpnH001n1cf0Nhwc8HNzwQxQqQj2dKcsvJxIoNeOt7EeBAHDyoUj2sdwEA06DIvnkHPjleT/aBOaojxCLietTz5M0/1/w9/VkfK+ut5+FffRwwhaDblf/2zaosx6n3kDX1Utgl5H/iVXpWWf8Qj29QCgssW/JkSF86EmMWPZ4DzolwVDMd2CYe7wHIaGknIAXO21KW2fDEEQKD/tSixFcwgH/ezZ+wAe7+gKI8LhIPv2P4Lf70Bvzaf89KtTdmWOBSF/RDDUT1LBsHwGAL4jib+vFBQUBqLWiDGnSNDpG2JrBYXpy4w5Dub/+FOs+vvn0GROjcLRkSKoREoul4vs3r+/mvAk6E0VDkvsf62FO65+jwdu3kprlQOjTcvCWy9h7nc+mbDtRTgY4uD/exEpEMKwfAHWTyfu8aybVcbc751H+WfX0rtLbjswY3XyntcAlavl+8vePY2xn5VYGwn7B7sDjSsXos7LJtjnpfb+9wf9XmXQMutrZ7P0D1djKLbR1+bloa9t44kf7MTdM3WKNtS6iMMwMP0Ew+OxNH5Ez3NvTPQwFBQmjsha0gROQRUUFCY5imB4kiMIQn8s6SijCiczOks2RX15iOLUrEhO1U1lKZAXVv3trQSdieNBDaUVQPIFWO3MqGDYPOTxMxZGBMN0OAyPm9wO6Gd4AmpLRDBM4DAUBCEmrgT7RicYxp6/GN9hyAkvT9AlTwx1cSpb55/z/9k76zBJznJ931XtNtM97j4rs67ZrMXdXQgJhAQ4HA5y4AAH+XGA4BYIEDwBEghxd092s1l3mZ0dd2t3qd8fNd1r0zM9s+Nb93Xl4mKn+quvrbq+73mf583n4q/OB8C5R16gWhfJ8Z6BA/VoivIQ9DpiwQCh7uPF2px56xBUalyuFhzOxkHn2tdfS9N7/6bnwPGLWZVGhzlbFlJG+1337JcdW7rq0oSDc6LQzy4n/7ufw3rdRQgaNb76Whp/+1P63n5tWHe0p3Y//W/LFcoZH7sWbfHYuJn9++twPv8WALlX3Ig2c/wiSuIOQ7UtmcNwoAeMZWjRJ+4wHA/BMOEwHKT6ezDU5qG/w4njEoJhX0rXQv3A9c3TPTYCkyCqqDzvDgy2fEIhN7t3/41w2Dfq8Xy+HjyBLkSNnsrzP45KM7mVqgnBcMo6DMsA2REfj4FWUFAYHv2AyzCeejATkCSJ/i2NSK8+RSw4fTbhFSYeKRY77p5BazMNcfTMIe/i+ejT1PQ2ejn0TvekzSMaibHz+TZ+c827/OuL22nf70JjUFF0/TIW/fETZK2pGvLxolrF3G9cjn7+LLI+edOQRaQqs4m8i+aTd8kC7Dvl9JzylcMLhqVLMxBE8Lc5CPa6OfCjF9lw7W/x7zo5gl5QqbBefxEArY9vo/mfHw46pnVBEcv++FGKblyOIMKuF9r51ZXvsPeVjlNKeJko1ANtNmZiJGkcT30Pe7/5FM6nXiNwuHGyp6MwDfDvPsSR379N3+aGyZ7K2BG/HCmKoYKCQhIUwVAhEUs6WYJh/7uv0/jbn9Jz8INJOf9UJrJ5D7Uv3k/3vvdSOl6tNyWiXf1N9UmP0w9EvIUaWpEigy8IdKUFCGqRsMNPoMM55HnT5uQjCGBv9eHuPbVG4scKGUNGkg64k6RgCCmJYKQaELUi7qHnPyyJCqzUIkkTDkPL4AJ18ULZ6eo50oMUk7AukvsWBg/Wgygm3J3+pgZi4RD+5gZc7bVoDBY5HhFobn5n0LFNRjluNuA4eZMgrUCOJfXVHx7iySbHs0+OIzWuGL840qEQ1GrSrziH/Hu+gH5eNUQi9L35Eo33/gDHlo2Dfg7C9j46n3oYAPO5qzCvXjImc4k63fT+/hGQJNKXryJtwdiMm4xEJGlSwTDFSNJxdBhGw/KYoia1W4tErHCSPqSJ4wYiSWPBADH/8EKdvqgEBIGQu4+wfwz6qgIqrZ6qi+5CY0zH6+vm/Y0/pK9vdL+Z0UVlzLnqi1Sedwf69Mnvg2HOLcM8d8G4Ct6ngjY7D1GvRwqGCLUM73hXUFCQiacczCSHoSAI1P7yVZr/+eGQKRkKCq4X38X3l78Q6h997+vpiNqoJftSOZHk/QeTrwXHi3AgypbHm7n38nd4/Gs76T7iQWdWU/KRVax46JNUfvpstLbUnJ5pc/LI/fKdiIah723LiuTEEV9zP2G7D7VWpHBeGr+78X1+sO41XvvVQVxdJ99r6i0a8ufI99WOXa1yek1MInBg8KQe08qFWG+6FICGv76f6K14IiqdhspPnsXiX9+KsSwTb3+IR760nb99ajM99Z6UnvtkkXAYhmauw9BckU3uRfNAgr6/PIE0iKNUQeFY/PsO0/r4NuzbZt59h6IXKigoJEMRDBUSgmGgvYVoCpuxY03E4ybU1UHIfepxloMRcPbQuuV52ju2jsv444k/0I+7o46+2s0jcBkO38dQm5ktb8CGwoTbOgc9RtBq0JQUAsPHkqrNOoylch+IU3UZSscKGSc6+o495zHRi8kcSnGHYdQ1NoJhsh6GJ0aSJnoYJumdkVVuRq0VifpCBDocpM0d6GPodBPp6EFXXQaAv7kBb+0BWv58H22bXwAgb8HZmHJKsS5ZPejYRqO86R/09BOLHL8ASi+pwbpqHenLVqX0tI8l4nLiH4gtNi6bP+LHjyWa3CxyvnwnWZ++GZUtjYjLQfdzj9Pw6x/i3LYp4UKKhUO0P/IgMa8fbUUxGbdcPibnl2Ixev/4b2IuD9qcPLIvuXpMxh2KeCSpOmkPwwGH4XB9Fcazh2FkhA5DU2qRpKJOi5gm9xwJO4b/nVDpDWizcwHwdjWmNJdU0JqsVF/8Scx5lUhSlF17HmTPvn8SDKZ2fZEkCWel/Jz1aVmJvqKTTd7Ccym45ePj1n/zVBFEMeEaVfoYKiikjj5tIJZ9BjkMAdIXDqQyHJx4MURhehBu78b5zGv0vl83Izd4h6Pw6iWo1AJN2/pp3eOYkHM6O/289quD/PT8N3jm//Zgb/WhSTdQdudalj/0aco/vialSNi2Z3birpV7/zW2Dl/I5Nm4g5bHthLocuHY2QJA8WIb/S0+2vc78dlDvPOnI/ziojd49Ks7Tno9ErGku1qwLpULNgP7kq+h0y9ZT/qV5wJQ95s36Xxlb9Jj0+bks+x3t1Fy2ypUGpG6jb3cd+27vPTT/QQ8U1OkSvQwDEWmhSNytFR++my0GSYinT04nn59sqejMMWJdMntXIyF1smdyBgyg7/eCgoKY4QiGCqgtqWjKcgBSRpSZBovRL3cSywSGnrTeLQEHF107X6L9vYt4zL+eJKbswhBVOG3d+DvS615fbyPYbC9JekxgiiiL5TjKYNHkh+ni8eS7m8f9rzpA7GaB944NQdIwvkkCkP29RJU4tEeaEkEQ/UYOQylZIKhmMxhKMdkxePATkSlEcmptgDgqetG1KpJn3dyH0N/Uz26Avl19dnbiUXC6NKymHPF57CWDe7y02rNqNV6kCQCruN7/BkzC6mcdzWmqtkpPOvj8RzYA5KEtrIkqWg1kQiCgGnVYgp//D/YPnIFqnQLEYedrmcepfG+H+HauYXu558k2NGGaDGR/Z8fQdCMTSSx64V3COyrQ9BqyL/xdkTN4P1XxopYMEgsIAuCSXsYDohuKvMwkaRxh2Fk/CJJxRQFQ81AfKo0jGAIo+hjmIglbUzp+FQx2PKouuBOcuatB0Gkp2cvH2y9l9a2TUM+Lhh0sXXb73C1HRrT+ZwuGEqUPoYKCiNFb56ZgqFt8fCb+gqnL1I0Su9fHkcKR7GtKCPn/LmTPaUJR5dlJuvcGmD8XYYtu+z8+8vb+fnFb/HOn47gc4TR5aZR+emzOeOhuym99Yxh0y/i9G6so+43b7DzC49wePvw21QRhwvnU69R/4d3sG9vwrFLXtNWrMykZbcDgMoqNcvP0BKJwO4X2vn9LRv4420b2ftKB9FIjPKBXoeO3a1YFxaDKBDp6iXSm7wANv2aC7BcsAZBLSbtwRhH1Kop/9galv35Y2SsqiAWkdjwtwbuvfwddjzTOiX6TB5L3GGIBNJAIeBMRGPRU/258wBwvfwuAaUgTWEIwl29AOhnkGB4Uk8dBQUFhRNQBEMFgEntY6gaEAyj4yQYRoJyFI1GM/0a3Ws0BrIz5YVuX11qDsm0gmpKPv3fFN/1uSGP0xfHBcPmpMckBMNhHIYAuefJ8zzwRidB3+hjTOKC4VBxpHESPdCSCA6JHobuU+thiDSwYDrB8SgwuMNwuEhSIBGB466To0PTB2JJAwfr0VYUg0qUYyglUJnMEIvhO0E0jruVjpuTIGAcIpZ0tLgH4khNyyfXXXgiglZD2gVrKPjpV7DdfBmixUS4v4/OJ/+Fa8dmEASy/uMW1JnWMTlf4FADjiflfog5l12HLidvTMYdirjgLeh1iIbBBcGUI0njPQzHw2EY72GoGVkPw+gwPQwB1NlyLGm4vy+lsfUDfe+8Y9TH8FhUWj3Fq65i7lVfxJRTSiwcxGs9Gu3scrXS1r6F2sPPsWPnX3h/4w/Z8MGPcHvaaN74JFJsavWFiUVCU76K3FAqx2gHDzdO+bkqKEwV4vcgMymSFMC2TL5/DTW0EPVMfDKKwtTG+cwbhI40ozLpmPWFC4YsPpzJFF2/DIB9r3XQ3zq23xNnp5+tTzTz+1s28IePbGTPyx3EIhLpC4uY939XcsbfP0HR9ctQGQYvnBwM96FODv7wRZDAuHY5mpyhexCGO3vovOd+Ij39aDNNZJ5ZiXNAMCxfmUnrgGB4/sU6HnoskydeyOKqaw1oNNC8084jX9rOE9/YJfcxFMDfaicaDJM2R76vD+xPXpAgCAK2Wy4j7/99luz1qaVFGAptLLjnGuZ//xoMhTY8vUGe+MYu/vTRjRPmAk2FhGAIxIIzN5YUIGttNbkX1EBMkpNj/KfWVkVhZiLFYkR65IJVY6FtkmczhiSph1dQUFCIowiGCsDk9jEUDQOCYXCcBMOAvEiajoIhQF6e3Iei/8h2YtHhb9xVWj3Z4cIhm8MDGIoGBMO6IQTDgV563iM9RANDR6dY5uZjKLQR9kc58NroXYYJwXCIONI48R5oUU8SwTDuMDzVSNI4KToM45Gk+iSRpAB5c2XB0HNYFvWsxwiGgkaNtlSOgw00N6AvHHgfeo6+V5Ggn46dr3Ok/tWTxjYa5XjYgKPrpL/FohF8DXU4tw3tiDqWsNOe6IlpnGKCYRxRqyHt4nUU/uyrWG+4GNEkf9+t11+EYaAg4lSJ9Nrp/f2/QJKwLFpO2uIVYzLusOdN9C8c3F0Ix0SSptrDcDwchqEBh2HKguHQDuFj0WTLG0dhe29KYxsrqsm+6EqKzrgypeNHgzGzgNmXf5bysz9Czrz1OCt1OCt1HGh7kUO1T9Ha9gF2xxFCIbmPot6WR+V5H0MQU3t9Joqd//gmh7/zP4SdjsmeSlL0hcWgUhF1uBOLdgUFhaGJpxxEPDNrE1SXbcFUlgUSBPaOriezwszEt2M/zuffAmDWF85Hn5v8vmmmY67IxrasFCkG7/1l8J58I6Vhax9/+fgH/PT8N3n623to3eNArRXJu2gey37/URb/4iay1lanVPR5LO7DXez4wiNE/WF0cyvIuPWKIY+P2J30/Oh3RHvtGAqtLP7lzYT6vYSdfjQGFUULrAkRbtFi2QE4b4GGH99r5Y2NOdzxCRMA+15uR1QJ5M2RPydyLKm8Pna9+n6ixcFgCKKItqQgEZsqSVJKff8yz6hg+Z9up/yudWgNKlp2Ofj9LRt45Evbp0RMqUojJpa7M7mPYZyqz56LPi+NaK+dwKGGyZ6OwhQk2ueASBRBo0KXbZns6Yw9imKooKCQhLHJZ1OY9ujnVIBKJNzfS6i/F21G1oSdW2WQb9ojwfGpEo5FZPFGpRrf2MDxIsNWjVZrIRRw42zeh6180ZiMqy8uBUGOXYk63KisJ98AqTKtqGxpRO0uXPvaE1XdgyEIArkX1tD4wAa2PdHE4quKRzWvSFBenKUiOmjSZLE55h68gbw6U64CC/WnJjIkIyG+Ro5fOAp6WfA4Ke5r4MYrFk0uyhTNtwJy3KsUjZE2Jw+VSUfU5SGw/wj6mkpC9S14DuzBUFaJt3Y/jsY95M5fD4C/v532bS+BIFKQvxyDISMxdigoCxRqvemk8/r722l99neo060p9TKUJInu554ASUI3uzwRDTlVEXVa0i87G8u5ZxLp7UdbnH/KY4a7+/Bt2oX7rU1E7S60WTnkXn7dhFWth/rkaFl1VvKqxph7wEltGSaSdCAuNDYOMUNBj7yxkGpFucooX5OlwPDuF3XugGDYn5pYpEm3YVtzNjGApvFzpAmCSEbl0uP+zZJXiUqtRW/Lx2DLxWDNQ2/NRaUd+r2ZDKLhYMLxqBoo3pmKiBot+vxCAq3NBOuah3UeKCgogCHew3CGOQwBMs6swNvYi2fDNkyrxua+WGF649uxn97fPAQxibyL55NzzpzJntKkU3LLGdi3NbHlsWYWXJJPxcrRre9bdtt5/b5ajnwgr6cEEcyz8slcXUn+pQvQWk+tKLfrlX1I4Si62eXkfPajw/bCdjz2MmGHH1N5Fgt/cgNam5GWf8utR8qWZqDWiNjb5H2FqlnHb3fl5Kr432+n8fTjPpxOCWenn/LlmXQccOHY3UrxjStoe3I74dYufNv3Y1oxeAuIY9nz9yN4Xnyd/EsXUHb74D3mj0XUqim5eSW558+l4S/v0/PWAfa+0kHnIRe33LuM3KrJEyUEQcBg1eKzhwj1e9FmnLyWnEmoTTrmfPUSvI19FFyeRWPrZM9IYaoRbJA/FMaSjBEXQ0xlpNhAMpCiFyooKCRh5lzxFE4J0aBHVyWLQd7DByb03CqzGYCw3z0u48erA0Vxeurjoqgif8BlaG/YldJjwn43nU//m+Y//ippfJvKYESXG++bN3jlqSAI6OfKPRHtO5I7EePkXTQfUSXQvMNOd93o3s+gd0B0MA4v8Gqz5M9O1DH4uTQFcjRn1O0i6h+9g1XUDUSfniBsqDOsAAS6jo881drkhbOnP/kmXd6cdAxpGqK+EO5DnYhaNbkDfVY872zGdIa8AeY5vB/jrLkgCHi66gm65EhGS34laYWzQIpR33h8s/ayq++mdO0NZM0646TzqnXy3KL+1AR69+5teGv3g1pFxu1Xp/SYqYBo0CUVC72bdtL7h3/jfPZNfDv2E+npP+l7EnW6cb22gY7v/Y72r/wUx5OvErW70GRkUnjHpxF1qfVjGQtC3Z0AaIuSx59GnfJ3YLiFvaiWf/aj4bEX0Tx98uddY0tt40illzezpXBk2JjJRCSpPbVI0smkcPmlVF/8KYrPuJKsWWdgyimdkmIhHP3dFbRaRO3EfaZHg754IJa0TuljqKCQCkabfB8Vdo5Pgsdkkn+JvIkvOHqIhSbflaMw+VSs1KHNNJFz/lxmffGCyZ7OlMC6uJj8yxYC8MTXd2FvT704NxyMUrexh398Zgt/uHUjRz7oRVQL5F++iJUP3c3S39xK6a1nnLJYCNC/rRGAtAvXIpqGLl4K1rfg3bgDgFlfuiix5ur7UE5CmX1WDuFglHBA3gy32gbf7jJZ5H8P+aKUr5CLIZ27WzEUWJn1xQuo+dbl1Fydm9oTUImEej3Yt43s/kSXZWHOVy9h0b23oMu20Nvo5fe3bGD3i+0jGmesyS6X1xK+ltMj0SF9QREFV8jr7rKiHmL+QEJMUVAIt8rr8Hga1ExBGihsj+8NKCgoKJzI9FRQFMYFw6I5BA814Ks9iO2MdRN2XrU5DdFoGtQNNRbEBtwTgjB9fwyzs+djj3aSXlyT0vEqjR737m1IkQihnq6kfdYM5VUEO9sIHKjHtGrxoMfoa6rwbtyBIwXBUJdlJuPMSnrfr2Pr401c+rWRx1eGRiAY6jLjguHgPQpFox5VRjrRfiehnk4MJeUjng+Q2Eg/0QmlzrICEDxBMNTY5M+yty+5YCiqBMrPyGL/ax3YtzeTVlNA/qULaH9mJ/4d+7DddiWawlzCbV0EW5swVlTjO1KLo2kvuQvOAqBg+aW42mrp6tpFafF6zOY8nJU6BCBr9uDuQdWAYCiFQkiRCII6+c9AxO2i++WnALBeeR7awhQXzqNAikaJ9DmI9NqJ9PQT6bET6ZX/N+byYFy1COs1FwwbtTsc4c4eev/0GERPdotqi3LRFOUR6bUT2Fd3tDelIGAsr8aycCmWeQsTAvJEEeySI341Q7z+UafsstXahr6OxvsLxvsNjiXeAYF8uDnEEXUDnz1JgnAEtMmdieoseTMn7LQjxWIpfQ4iXg++wwcIdkeSfh9OdyIDgqHaPPUjdgwlZTg+eIfgYUUwVFBIBaNVvqbORMHQUGBl6f23Ya7Koakt9T5pCjOTsqIeII0l992K1mZKqa3B6ULlp8/CvqMZZ7uDn1/4FpklRspXZlK+IpOKlZlYsgeKIqMSHQec1G3q5cimXpq324nEo+ZVAjnn11By25kY8tPHdH6BLhf+FjuIR4tUhyIWCKLLTcO6oCjRbzDs8uPeJ/d5n7U+h4BLLiIQRTBbBv8smEzyvwe9EUqXyX0Mfc39hOzeEbtTDfPlPoauAx1EPIFEj+5USZuTz9L7b+PAD17Asb2ZR7+yg5bddi7+0lxUmonfv8gqM9O03Y6v+fQQDI8l7PTR/7O/IxSVk3HH1ae87lSY/livvZC5t1Yf3ReYIUhR+fquUiu/lwoKCoOjCIYKCQwLZuF49CV8jUdS3pAdCzRWG1Vf+578f8YhOk5KCIZTq2/USEizFLLccgfOytQcIKJagyW3ElfbIXyHDyYVDI3lVTg+eCepwxBkwRDk/hKpLILyL11I7/t17Hq2lQu+MBeNfmSve9xhqE7FYTjgpkomGILsMpQFw67RC4b6gcW0/3gBUBV3GHYf73BMOAyHEAwBKlbFBcMmSm9bhbkyB8vsPNyHOvFt2oVp1WIcT7yCe/cOMs+/hMxzLyE7erS6zZRVjLVsIY7G3dQ3vEpx0VqIViOqkl/aZaeTAEhEA/6kQoEkSXQ//wQxrx9taQFpl5415HMZLTFfANdrG3C/uoGYN3nls+u5t4h09pJ1940IQwhLQyFJEv0PPwfRKLqCYrTZOYS6Ogj1dCEFggTrmo/r6akvKsGyYCmW+YtRWyanD44kSQQHHIaaosEFQykSSbx22oyhK73jUb+RMRYMo5EYPntInkOKDsOEYAjEQmFUQ7yvKlsaqFQQjRJxOdBYh4/GDXV10Pnkv9CabIpgmISwT752qUzTQDAsLgPkSt+YP4homNqOSAWFycZole+jIq6ZJxgCWKrHr4hJYXrgfOFtCuZqoEgWbOKFhApHURm0zPv2FRz+1eu4D3bQ1+yjr9nH1sdbAMgqN5FZbKJ5px2/63i3rjbTTMbKcopvWo6xaHxaEmgzTSz6xU207AwiGocX2uZemE70rI8RCx7tr2ff2kgsKpFTZSajyEjXQMqNJU1ATCIeG48RDI3pWnKrLXTWunHubiX7rNmJ4wotTdRtCmGYV510TupMK+r8bCIdPfRvaRxVHK7WamThD6+j8W8baf7nh3zwUCNt+5zc/POlpOVMbKHi6eYwPBbn/g68Db1wpAdUIhkfvWrCWlAoTE3kgpSZ99sSFwxFlfL5VlBQGBxFMFRIoCnMRdBqkEIhwv29aLNyJntKY0LewnPJql6BrWt69jAcLWlFs3G1HcJbdwjbmrMHPcZQVjHQx7CPSL8TdcbJVaPqjHTUeVlEOntx7Gola03VkOe1LS9Dl5tGoMvFvlfbWXzlyOIbEpGkhhQEw7jD0Jk8/lRTkENg7+GE6DIaEpGk/sBx/x7vKRfsHjySdCiHIUDFqmwAPPvbiPrDqAwacs6bKwuG2/aSefeNOJ54BV/DYfLSb0VtScMDWI4R1guXXYyjaQ+9fQfp7TuItj6TuVd+PqljVxBEVFo90ZCfqN+XVDD0HtqH58AeUIlkfuL6YfuJjBRZKHwf72vvJforCRoV+rw09HnpGPLT0efJ/4UdPup+9xa+LXvocrrJ/tztqMwjj0Dy7zxAYE8tqFTkX/+RxDVOikYJ9fUQ7Oog1NWBqNVhnrcQbWb2mD7n0RD1eoj5vCAIaPIHvyZHXXL/QkElorYMHeUUfx/H2mHoc4TkwkvhaG/R4RDVKgS1iBSJIQ0TKSeIIuosG5GuXsL2/pQEQ31hMQgCIa+dkNeJ1jS2VfEzgbBfvnapLVNfMFSnpaO22og47ATrm4fcvFNQUABTPJJ0hgqGcUpyOqjfrx+yz6/CzEKSJByPv4LrhbdxqkRMFVnjJmjNBMyVOSz59a1EPEGce9tw7GrGsbMFb103vQ1eehvk+0iVUYt1cTG2paXYlpZgKM4Yd7FEVKuwLizCkZH6PbdKp0GlO1pk1rcpHkcqFxHEhU+rNXnx87EOQ4Cy5Zl01rpxHCMY+lrt7PzCv4gFI+Td8yXUmdbk4y1fgPO5N2l/bteo+2cKKpHyO9dimZ1H3U9foHmHnd9c+y5XfXsB8y449Z7sqZJVLq+vT0fBMOvMSub8z8Uc/MlLeN7cBDGJjNuvUpyGCjMOKTIgGCoOQwUFhSQogqFCAkEU0RTlEapvIdjVMWMEQ60pHa0pHb1zaPFmOhDyOnA27ydr9hkI4tACTlrRHPjwWfxNR4iFQ4iakwU4ld6ALr+IYHsLgQNHMK9ZOuhY+rmVeDp7cexoHlYwFESB/EsX0PjABrY+1jR6wTAVh2GmLIpF7EM5DOXFY6i7a0TzOJakkaQDC8dQv5dYOJpwb8UjGT29Q3/mMoqNWAsMONr9OPe2kbGijKy1VRz53VsEDzciajToqkoI1jXj3rsT25nrAQi6+tAY0xDVGvTWXDKrV9BXuxkAfXrOsPG+ap2RaMhPzJfc0ec7UguA+ayVaEsKhhxvJMS8flyvbcD7+lGh0FiSQeltq8g+a3bSZuKGkgz2/b9nCNY20vn9+8n974+jzk59c0gKhbH/83kAbKvPOu76JqhU6HLyZCfugiWn8OzGntBAHKk6JwNRN/h3Ii6Ya2zGYWO4xHGKJI2L45p0w4gawos6DdFIECkUGvZYdfZRwZAUzMKiTo8ur5BgRyvu9sNkVi9PeV6nCxG/HGU7HRyGAIaSctwOO8HaRkUwVFAYhpncwzBO/+YGDvzwRdRFheR+9e7Jno7CBCBFIvT95Qm8H8h97Mo+vkYRC1NEbdaRuaqCzFUVAITdAZy7Wwl0uUibm49lVu6I7uEmEvdbH5JpcyPlLzhujlI0Rv+WRkDuXwjgd8qCYVr6EIKhOd7DUF53lq/IYNM/G3Huak0cYyiwYii04drXTt+DT5Lz3x9PKqCazz0D14tv49zdiqeuG3PV6PdRstZUYSq7nf3ffQ7PkR7+9cXtLLmqiMu+VoPeMv4RzNkVsmDob7EjxaTTLuI394IapFiMQz97Bc/bHyKFQnLxrGr6plUpjA77Yy/j6mqk6IZlZCwrm+zpjClHI0mn5jVfQUFh8lGuDgrHoS2SoyuDnRPbbLv7padp/M1PcDTvm9DzTickKcbBx39O88Yn8HQ1DHu8Pj0HjSkdKRIh0JK855OxXBYAU4kltafQxxAg7+L5iCqBlp12ug4nF/MGIzSCSFLdMQ5DKUmufLzvW6jnFATDuMPwBMFQtJhArQYJgr2eo+dMMZJUEOQ+hgD27fJ7pM9JwzInDyTwbd+HcaC3pHv3dvm4D99j31M/oXP3m4lxCpZciDm3AlN2KUUrLx/2+cT7GEYDyQXDcH8fANrSsRELpXAE57Nv0v6VH+F8+nUiniDG0kzmfuMylv/pDnLOnTvkJoVtcQmL770ZXbaZSEcPnffcT6ipLeXzO196l0hPP+q0dDLXXzAWT2lCSMSRDtm/UBYMU4kCTQiGoVjS78xoiH/WtdaR9aJV6eW6JSk4tMMQjuljaO9LeXzTrLkAOFv2j2hepwu69GzMcxegLyyZ7KmkhKFU3uQM1A7/G6igcLpjTJfvo6L+MLFQZJijpyfG0kwi3iCBA0cId/ZM9nQUxpmYL0D3Lx6UxUJRYPaXL6Lk5pWTPa1pi8aiJ2tNFUXXLiVtbv6Ei4WeI90cvu8NDrxsH/K4qMuD87EXOHzv6/RuqDvub8797UTcAQzpGooXWoGjDsP0FByGIZ/cuqRsmXyP6W3sJeyU10fCwGdM0KgI7KnFu3F70vHUtnQMyxcA0Pb0jiGfTyoYCm0sue9Wim9eiSDCjmdaue/a92jYkvo98GixFhhQaURiochJKTqnC3kXzWfu/14KooB34w56738EKTIzf0cVkuPbvg/71kai3uELW6cbSiSpgoLCcCiCocJxaIoHBMMBV8tEEXE6CHV3EvIMvWAYDfaG3XTsfB2XO3VxYSoiCCKZmXLEiaNxbwrHC1jyZKHP11CX9LiEYHigPukx+rkVIICvqY9gnyfpcXF0mWYyzpQb1297PDWRMc6IHIZxgSQSTdr/TlMgR9xEXA6igcCgxwyHqJMdhif2MBQEIeEyPHZBFXcY+uwhYrGhRZnKgVhSx/ajom7WWtk549u2F9OKBSCKBNqaCfX1oDanIUUidO55k6CrVz6f2cbsy/+TOVd+DoNt8H6Vx5K/6DzyrrsVXV5h0mPiosxIXHzJCBw4Qvu3foXjyVeJeoMYyzKZ+83LZaHwnDkpb1CYK7JZ8utbMZVnEXW66f7R7/HvqR32cZFeO67n3wIg66IrE+/ndCA0IBhqC5O/r1Gn/J2Mf+6GQhioIpQkiEXHTjBMOAxT7F8YRxyIlIoNE0kKssMQRicYutoOJfrZKhwls2oZBbd8nPSl02PD1VAm/66E6pqVjRsFhWHQWdSJjaCZGkuqz00jY6VsOfe8vXmSZ6MwnkTsTjp/+HsC++sQ9RoW3HMNeRfPn+xpKZwCfR8cof2ZnXje+jDpMYEDR+j+5YNEfSHMs3ITa6Q4/QNxpLPWZiecMn6nvLmfbk2+EW4yHx9JasrQkVMlF6I6dh/dMzAWZ1D20TMBcD7yHFFH8jYYaReuoeCqxRTftCLpMSNB1KqpuGsdi35xM/r8dJwdfv565yZe/tkBwsHxu6dVqUUyS+X7eV/z6RdLGifn3LnM+/YVCBoV0aZGom7vZE9JYQIJ9/QT6egBUcC6ZHoUVo6EhGCoRJIqKCgkQREMFY5DWyzn40+0w1A10Ect7Et+Ez5a+ut30L7tJVyuljEfe6LJzp4HgKNpb0ruIEtBJdqcPFSm5EKCobQcRJFor51Iz+CLApXZlIildOxM7XXMv2wRALueayHkT31j96hgOLyoI2rVqNNk91+yBZzKZERllT9foZ7R9TGMOwwl/8mC41HB8Oj5NVa5h1ssKuF3DF2RVr5Sdhh6jvQQcsiiZ/Y6eTEcOHAEVCL6GnmT3L1nB+aahRgrZyFFIjR/8NSoXGLWsgWkLVqOJt066N+lWIywQ/4snIpgGOnpp/dPj9L14z8R6exBm2Fizv9eyvI/3kHO2bNHFXGjy7aw+Jc3Y11SQtQfpvuXD+DbeTDp8VIsRv/DzyGFIxjKKrHMXzzq5zMZJByGRckdhrG4wzBjeMEw7jCEsY0l9fTLn/NUXI7HotINOAxTiiSNOwxT37zQF5agMpqIhgJ4uhpHNDeFqYc2KweV0YQUjhBsmN5FQAoK440oChjS5aKMmRxLWnD5QgA8720bth+uwvTFu2E74ZZONDYji395U0IoVpi+9G8dSFdZMOukv4U7e+n88R/p+vGfCDW0IurVVH/23OPWDrFQhJ535MLBWWcdjQCNR5KmDxVJekIPQ4Dy5ZkAOHcfv9YtunE55qocIu4A/Q89m3RMXWUJmmtuxlg8thG56fMLWfaH28m7ZAGSBO8/WM/vb96AvS15Usypkn0a9zE8lqw11cy/52oW/vQGqhbMPJeZQnICuw8BkD6vAI1FP8mzGXsUh6GCgsJwKIKhwnHEHYYRRz9R/8RtLqjjgqF/7GMv4q6S8W7aPhFk2KoQ1VpCXju+3uGFu8zqlZR99ivYVq1Peoyo0yfi6Pz7kjsR9XMHYkkH+kQMh21ZKfq8dALuCHtfTl2AdnXJolyqN2aJWNKh+hgOxDmO1jkr6gcEw3DkpM0odZYVAF/bUXesqFYlnFb21qEXc+YsHXmz0wDoeUsWvgyFNkyV2RCT8H6wE9OZiwFwbvsQYjFyLrsWVCpcrQex1+8c1XMailBPp+zeUatRZ6SP+PHhnn76/voE7V/7Gd4N20GAgisWseKvHyP3vLmn3AtDbdax4AfXYii2QUzCv3PwuEkpEqXvz4/h37EfRJGcy66ZVtcBKRZLfGY1RUM5DEcgGGqPti4OB8auOtk98L1NZQ7HzSchGKYSSTrgMHSkvnkhiCLGatmZ7etTBKYTCfuTxzlPRQRBSMSSBpVYUgWFYTHF+xg6Zq5gmLGiHF2OhZjXh3sIp5LC9KWsqIeFn5xH8S0rWfLrW7FUJy+iUpg+BDqcAPj31CKFjwp3gQNH6PrefQQP1CNoVBRctZiVD36CtJrj2yT0bqgj0OnElKFlzllHPxPxmNG4KDgYOt2A+zp4tHiubLks9Dn3HH+/KKpVzP7yRSAK+LbuwT8gJAzGeN1TqY1aZn/pQuZ99ypMGVq6Drt55L+3j5vTMLda3pvpen1/Qlg4XclYVoaxSF6DlBX14NmwnVDTxBbXK0w83k07Acg4o2JyJzJOSJG4w1CRBBQUFAZHuTooHIfKZEy4OIIdrcMcPXao0+WbsPGIJBVE2VEjSdP/Zlel0pCdIW9+96cgFAmCgKVp+IWLaWBD3b8ruVPLsGg2AH2b61NaOAiiQMEVssvww4cbUlpAxWISTdvkuMG0mvxhjwfZcQYQ6XckPeZUnbOi3oCgloWNuDgTRzMwtudw93H/bpktCzwtu4b/TC+7vhSA1qd2JF7b/EvlPhjuNzZhXDYfMc1MxGnHvW8n2qwcMtefL4+/6WkigdQjUjxdDRze8W9Cvd1Jj3Hv3QWAYUH1iBq8x/xy5W3H136G590tSNEY1qUlLPn1rVR//nzU5rGrzhM1qkQEp7b05GjVWChMz33/wLtxB4giedfcjC53bPoxThShnk6kUBBBr0WTn530uIhd3nDRDojnQyGoxETcb8A1dk6Mvmb5M2gotI3ocfE4Wiky/IZH/Lcp6nYRC6de5Zt5zsVU/M//kTs/eeHE6UgsEmb3P/+Punu+RtQ/flXqY81RwbBxcieioDANMGfJaQ0h+8yNUhNUIqW3rQLA/fzrxLwzVxw9nQi3d9Pz24cpypDFG0EUqPjEOgz5Iy9kU5iazPriBQgaFf5t++j+9d8T8fSl82IIokDavAJWPngn1f91Hrqsk+9xu9+U163LrytGZzpaECcM7HDFhliuBoPyulSjO7odVrJYvof1NfQQ9R9/j2yuyiHvIjnpx+wbvI1H1OOl9zs/o/353eMmsmWtrmLevR/FkK6hbZ+T576XWurQSFlxYwl6ixrP4W7an9895uNPV1wHO+h/4HG6vv873G9umlZFdwqpE2pqI3i4CUElkntBzWRPZ1yIheW1t1qnSAIKCgqDo1wdFE5CWyZvvgfaJi7CMx6NGPI6xnxsUSUvIGIzpH9VTo4cvWSv35myCBoLhwn2dCX9u2mWfCMU2Hc4qdNHV12GaDIQcQVw7U9NeMu7ZD4avUjnIRfN24d3BXUfduF3hlEZNJhnpVY9rMuR3XnRPkfSYzQDcarBjtE5jARBQGWWzxM5IfpUW1YEgOfw8a9v+kAVbNP24futLb6yCEOahkC7g75NRwDIvWAeKqOWSGcPwbpm0s5fDYD9/beRJImMdeehzckjEvDQ8uEzKT+Xzl1v4Nq+mf733xr075Ik4d4nC4bGFQtTHte38wDt3/gl7tc3IkVj2JaVsvjem1n0kxtIm5ua+DsSosEwrgOy+04/t/Kkv/f/42n8uw4iaNQU3PJx0hYtH/M5jDf+FjmqSVtehCAm/7mOu2t12cMLhgDqAfeuzzGGgmGT3EfRUDQywTARkZrCxopoNiLoZbEz4ki9uESbkYnakoa7dPq4SyeCRIGOICLqDZM7mRFgKJVj6IJ1TUhD7QYqKCgcFQz7Z65gCJB30XyMpZlEvEE5zl1h2iJFojife4uOb/8K35Y9NP5t42RPSWGcyFxVwYJ7rkHUqwnsqaX7Fw9QnNmOocDKop/fyKKf3Yg+N23Qx4ZdfhxbZOFu4WXHFw7GexkO1erY75OFHq3haGFkep6BtFw9saiE+9DJbSxmf+kiim9ZSdG1yygr6qGsqIfAoXqiLvke2PXiu/ga++h4bieMY6KJocBK1devRBBh+9OtbP5385ifw5Kl5/zPycXCrQ++M6OLTkaCocCKbVkZsVCE/r8/Tc9vHiLqmT5Fdwqp4Xpd/t3JWl+dSLOaacRC8gVSo1UkAQUFhcFRrg4KJ6EtlwWQQPvECYZqq+wcCXnsY16pFXcYzhTBMDNjFmqVnkjAQ8CR3CUWx9vTwpEffYu2v/8h6Wuryy9EZUlDCoUJHBo85k1QqzAslBcOvRtT24zRpBnIOleuxtz08PDxcQ1bBtyF8wsR1ak52/Q5Aw7DIQRDbemAYNjVPuoNZrVlQJh0HB99qi3JB1Eg1O8l2OdJ/Lt1qewarHu/m4BnaGFGa1Sz/MYBl+ET2+XzGbXkXSi/du7XN2I+dxWCTkuwsw3Pvl0IajW5V92EoNEilOam9L3x9bfjbDkAgkDG2nMGPSbU1UG4txvUaoxL5g47ZtTppud3/6Tn3r8R7XeiL7Cy8MfXs/DH15M+/2TnXzJiociIqnFd+9qRwlFUtjTUuZnH/S3S58C7YQcABbd8AvPseSmPO5UItMobALrKoRutRwcchrosS0rjagb6fvqdY9OLIxqOJaJ3jSMUDBMOw+jw12dBEFBnjbyP4bHMBKf5WBF0y9dbjS1jWkX16vIKEbRaYl4/4fbhfwMVFE5nLKeBwxDk35LZX7qQ5X+6g5qrlbjK6UqoqZ3O7/0WxxOvIIWjZKwsp/j6ZZM9LYVxxLaslIU/vA6VUUt6vhZRK6//zBXZx/XdPpHe9w4TjUjkzbKQW3X8/a+oGYgbjSRfGwX8Aw5D/fHniLsMkxXHVnxiXaK1QtQfov/+f9D+lR9jf+RFPG9uAKD0Y2tOuf3CcGQsK6P8E3Jyxgs/2kdjCoW5I2XljaUU1KQRcEeo/8O7Yz7+dESTZmD+966m4tNnIahF/Nv20fH/fkXg0OCuU4XpSdl5haTNL6Tw6iWTPZVxIy4YqnWpp0kpKCicXiiCocJJxB2GwQkUDDVp6YhGE9rsHGLh4JiOLQw4DCVpiDLDaYQoqlm44HYWfeQ7GGzJ+5rFMdhyQYoRcToIJXEZCoKAaZYsDg0ZS7pUFl563jmEFEtN2C0YuNE6+GYnnYecQx7buLkXAOvi4pTGBtANVJ4OFUmqyctC0KiRQiHC9uEdf4ORTDAUdVo0+TnA8S5Dy+xcDMU2woEY+18bvnfiylvKUakFnLtbE1WtBVctBsC/6wAxf4C0i9cB0P3Ck0R9XgzFpVR86VtknnV+Shv+nbveBMBcsxBtVs6gx8TdhYYFsxANySNEJUnC895WOr/5c3ybd4MoUHzTCpb/8XZsy0qHnQuAr9VO6+Pb2PU/j7Hhyl+z47/+SdgdSOmxjp3y9Uk/p/Kk5+569X2IxTCUV2Gqmp3SeFORQKvsMNRVJP8+SJEoUacsVI/UYThWgqG9zUcsIiHq1SnFoh6LEC8MSEEwBFBnj7yPIUCgvZXWB++n7tW/juhxM5mEYJiROcyRUwtBpcJQJF9jlFhSBYWhSQiGfTNbMARIqynAVDq9rmcKMlI4gv2JV+j87m8INbWjtuiZ87VLmP/9axKtBxRmLukLilj6m1uZ/dWLE4Vkw9E1EEd6orsQjnEYDlGv6Q8MOAyN6uP+vXiRFQDHruH3QUL9XvQ5acQCYVwvv0ssEMEyJ4/MVRPT86zoxuVknzWLWETikS9ux9WV2hoqVUSVwJXfWoAgyL0MezfUjen40xVBFCi+fjlL7rsVQ6GNaL+Trh//Ceezb0721BTGiKy11Sy592bS56Ve/DzdiIXktbdKcRgqKCgkQbk6KJyEbqAfWNjeT9Q3MRsMglpN1de+R+lnvoxKO3Z9zkAW2GDmOAwBrNYyVNrUIuREtRZLrhzZ6K09kPQ480AsqX/XwaRuNcOiOQh6HcFud8qxpOaKbDJWlhOLSvztrg/oODi4aCj3L5RFAOuiEQiGAw7DaK8j6TGCSoWmSBZXRxtLelQwdJ/0t7iD0V17VDAUBIG8C2SBdeczwy8603L0zL9E/u61PrENAGNxhiy+SeB5YxPpl5+DpiCHqNdDz8vPAqAyyn383KUC0VAgqYMy6OrF3rATgIz15w16jCRJuPfKx5hWJo8jjfQ56P7pX+j7y+NE3AHMVTks/e1HqLh7PSq9JunjYpEo9p3NHPn922z+2F/Z8rG/cuT3b+PY0UwsIuGu7WLP154g4hm+aMCxU3bf6ecevyiPef143tksP881g7sopwPRQCAh8OsqkjsMo043SBKCWkSTbkxpbE2afO3wOccmkrSv6Wj/wpFWVAvquMMwNeffUYfhyIR/UavFV38YV0ct0dDYbqhMV4Ju+XqrtU2/DXZ9iRxLGlAEQwWFITnaw/D0ikzL9O/FtzP5Pa/C1ML++Mu4nnsLKRoja101K/76MXLPr5lW7neFU8NYkplyukyw141rt7y2WnDJyW0PRLX8uYkM4TCMR5Ke6DCcc7bsUHbsaCLYe/Ka71gMhTaW/PYjzPvuVZgqsxE0Kio+edaEfW4FQWD2ly/GVJ6Fpy/Iv/57G5HQ2O53FC2wsuYOea3V8MsXCfZ6hnnE6YOlOpdlv79N7m0Zk8jIGduidwWF8SThMFQEQwUFhSQoVweFkxBNhkTEX6C9dZJnc+rkzFvL7Ms/S2HBysmeypiSfkS+KZVSEELTiuYA4D2c3D1orJgFahWRnn4iHT2DHiNqNRiXysJi91vJxzqRuV+/FMucPHyOMH/7xAe073ecdEzXIRd+VxiVUYulOvU4KX1O3GHoHDJuNBFLOmrBMB042WEIR125J/YxzL2gBkGApm399LcML76f+VF5Qdb77iEC3fJ54g5Nz3tbkGIxMu+8HgQB184tx72f/pYm9r9yH/ue+DG9hzYRix7vqO3c8zZIEsaqOejziwY9f6irnXBfD6jVGBYPHkcaC4bo/vlfCeyvQ9Sqqbh7PUt/+5Eh3zMpGqPjpT18eNuf2f3lx2h9fBv+VjsqtUDFqiwu/uo8Pvr7MzBaNbgPdbLnG08S9Sd3v0X9IdyHBsS0E/oXut/ZjBQIoc3Jw1g9J+kYU51gewtIEqpMKypr8ur6eBypNtOcsliniTsMHWPjMOxrlDcPjIUjiyMFEEcQSQrHOgxT72EIoM3KQZOZDdEorrbakU1yhhJKRJJOP8HQWCpfK4OHGyd3IgoKUxxLtny9n+k9DI/FsaeVHZ/9J/Y/P0JkkHs2halFWVEP8z8xH2NJBjX/7wrmfftKtDbTZE9LYQrT/fYhJAlKl9qwFZxcLJeSwzARSXr8dlhmiYnSpTakGHS9PnzRgSAIZK2uYtnvP8raZz6LdeHga6zxQmXQMO87V6FPU9Oyy8HzP9w/5uc4//OzyZ+bhs8R5uBPXko5Zeh0QGXQMvt/Lmbhj68/rrdl1OMd8zY7CuOPf08t4nvPE3bO/CKrWFhee2uUSFIFBYUkKIKhwqBoy+Sb3YmMJR0vdGlZmHPL0eutkz2VMaXfXseBZ+6lacPjwx6bXjwQN9pcTyw4ePWbqNNhLK0CwDdELKlp1WIAet6pTd0VZNaz8EfXY5mbj98V5m93baJtr+O4Yxq2yHGk6fMLU46jAdBmmkAUIBpNNJ0f9LgSWTAMjFIwVA3lMBz4vrhrj++npcu2JHoZ7npuePE9f246ZSsyiUUkul7dB0DmynL0eenEvH68m3aiqyrBcsFqALqefYxYUHZLBTtaiXjcBF29NL3/GHsf/QFde98hGg4S9rnoOzzgukviLgRw7x2II104C9GgG/SY/n88Q7i9G22mieV/up3im1Ykfb8kSaJvUz1bP/V3an/+KqFeD0ablsVXFXPTL5bxlfcu4o4/ncmZt1VQtSaH2/94JnqLBte+dvZ882migcFX+s49bUjRGKpMK5rsjKPni0Rwvyr3D7GtOTulCl8pGiVs78dXfxjntk30vv4ivoajkTuxUJCww56yoDVWJOJIh+lfGOmP9y9MPQpUPeAw9I+1w3CE/QvhqMOQSIqCYdaAYDiKaGHzbLnYwdky9psp05F4JKnaljHMkVMPfVEpiCLRPseQ/WsVFE53Eg7D00gwTK8pwFyZTcQTpP/Bp5RN2ymGFIvhfmczoUcfpqxILlDUZphY/uePkb1+1iTPTmE60B2PI7108LhA1QgchlqD+qS/LblKXtd1vbov5euHIAiI2pPHmggMBVaqv3YlggBbH2tmy2PNYzq+WiNy44+XoNGLOLY3J5JwFI5iW1Z6TG/LMH0//A29v/0nUffp89s7E3A+/xYNf3mf1ie2T/ZUxp14JKlap0gCCgoKg6NcHRQGRTfgmApMoGDo3LaJxvt+TNvWFyfsnNMZQVDh623B0bjnJDfZiejSstBaMiEaxddwOOlxptlHY0mToa+pQjQbCTt82HemviBRm3Us/NF1pM0rIOAO87e7P6Bl11GXUOMWefN6JHGkAKJahS5TrkSODrFxHBcMg52nGkk6iMOwJB8ECPV5TtqUy71QjiXd9WwrsRQqMhdfIS9Se96V3ydBJVJw5SIA3K9/gCRJWK+7CFWWjYjTTu/r8vfFunINFf/9TbIvvgqVJY2wz0nrh8+y59/30LnnbaxnrMU0ex6G0sH7akiSlOhfmCyO1PPeVrzvbwNRYO7XL8MwhKPMU9fNri8/xt5vPoWvsQ9DmoaLvlzDf792Ptfcs5iaCwrQm4+PL82fm85H/3AGOpMa564W9n37mURcxrHE+4roa453F3o/2EnU4UJlSSNtwdKkc3Pt2kbrg/fT8Mvvc/h7X6Xhl/fQ+uD9dD3zKP3vvk7E6Ugc62+sp+EX3+Pwd7/CkR//P5r/9Gu6nnscx+YNhJ0jc7mNBH9CMBz6+xC1y5/HkQiGcYehb4x6GPY1yUL96ARDuaoxdYdhPJJ0ZD0MAUyz4oLhASQptWKHmUx6yTxMc+ejzUrd0T1VEHU6dPkD/ZaVWFIFhaTEexhG3IFBf09nIoJKZPb/XIygUeHfeQDvBzsne0oKA4Sa2+n6we/pf+BJOl7cg33H0XXESCPNFU5PfC39eGq7ENUC8y86OY4UQBwoRgsPcckLDPQw1BhOdtfMvygfjV7E19yf6Cs/1clYWU7Zx9cC8Pz399K4beT3yUORXWHmkq/I99FNf3kX9wmpOgpHce5pJdDpxLd1D+3f+CW+HUqh4nQg1NJB8FADiAIFVyya7OmMO7GwEkmqoKAwNMrVQWFQ4hGLgbaJEwylSIRQTxcBx9jegPp6W+na+w69fYfGdNzJxppeilabRjTkx9U6dDyoIAikF80GwHso+U1rfEM9WNtI1DN4FIOgVmFcsQCA7jdSjyUFUJtk0TB9YRFBT4R/fHoTnYdcdB9xU//hgMNwhIIhgC4eSzqEYKgpzgNBIOpxE3GPPKJKnTYQSWo/uQejqNehzssGwHWw47i/Za2pQmdSY2/z0bR1eFfU7HPzENUC3voe/B3yufIuno+oUxNu6SBY24io05L58WsBcGzeQKBN3nARtTpsq8+i/IvfJPeqG9FkZBIN+ug5uIG0pWdQ+JFPJHXdhbo7jsaRLjo5jlSKROj/53MAlN2+ekhhN+oPc+Brj+Dc1YJaK7Lm45V8/sVzWX1H5bCxF0ULbNz0i+UA2Lc10fnKvuP+Hnb6EnG4+jlHBcNInwPHk68CYFu1HkE9RJWvIOBrqJNdarEYgqhCl55NWtEcsuesJlMoxtIkYWmS0Lb6EEQVSBJRr4dASyPOLRvpfv4JWv/62yGfy2iRolH8zY3A8A7DRCRpVvLY0hNRpw0Ihv1jIxj2NsoiuXE0guFII0kHehjG/D6iAf+IzmUorUDU6YkEPHi7x7b6ejqSdu2lFN5yJ9qM6RdJCmAokYsfArUNkzwTBYWpiyFdk3DbnE59DE3lWZR+9EwAHA89RahN2dyeTMKdPfT+8d90fPvXBOuaURk0VH767AmPb1SY/sTXAFVnZmGyaQc9RqWRr3nBQPJCTZ83uWCoN2uoOV8WI7vfmD69UItvWUnW2mqiEYnH/3fnmI+/4oYS5p6bSzQicfDrj9K/Wbn/GoyMleUsue9WjKWZxFween71d7rv+weR3vErNFU4dZwvvANA1tpqdNmpr6unK/EiMpUiGCooKCRBuTooDIq2vAhEkYjTMeJeUaNFM7BpGXD1jum43p5mWj98lo6OLWM67mQjCCK5ObITrK9u+GiQjKrlZJ53KbZ15yY9RpuRiTY3H2Ix/ENUw5lWy331et6tHbLX3GCoDFoWfP9a0uYXEvREeOgzH/Lwf35I2B8lfWERllkjd7vo82QxL9KdvJpS1GnRFMlj+5vqR3wOTboshsR8AaLekzfd9AO99E5cPKn0GjLOkYXYLY82DXseY7qW3GpZAPXUyRGnmjQDOefKIp77jQ8AMMyrxnTmEpAkul98+rjIHFGtJn3ZKsr+62vk3fBRcq64Hl1O3pDn9R6WBXV9TeWgcaSR7n4kfxBRr6HklqH7gbrruvA5wpgytPzX8+dw4X/XYEgffFF/IkFfhHf/LLsrtUYV6fOPxg3FwlH2fec5gt1u1NkZiX6aUZeHrp/+majdhTYrh/QVq08a91g3YNrCpVRdeBezLvtPFtz8LZZ87EfMv/5rVF90NyVrrkNvzUkcm1G5lCUf+xELb/0Oc6/6IuVnf4TcBefIY9r7E5GwY4m/8QgxnxfRYpKvxUMQjyTV56S+sIkLe911J8frjhRPXxB3dwBBAGNZ1ogfL6gGBOwU+6GIBh2iRXYUjzSWVFCpMM2Sv0eOpr0jeqzC1MNYJl9zAwdHfj1XUDhdEAQBS45cJBLsPfVr/nSi5KYVpC8oJOoL0f3LB4k6T6/nPxWIenz0/P4R2r/+C7wbd4AE2WfNYsVfP07R9ctG1IJAQQGg9325bUAydyGArUjua9hYP7jFMBaT6OiQC9XSBvq8nsi88+V1k3379CkwEwSB6s+fD4Cj3U/QO7auckEQuOa7CymoScNnD7Hn609S/+f3Um5RcjphmZXLsvtvo+jG5SAK+Lfto+MbP8fxzBtKTPYUJHC4Cd+mnSBAyc1D73PMFGIDrV+0eqWHoYKCwuAod+kKgyLqdWhL5QjH0Ygro0GTKW/SB129YxoXp9LJ/brC4ZG5UaYDebmLAbknVyQ49PMz55RSVnYe2oyhN/Ut8+QxvZt3Jz1GV1WKOjeTWCBMz3vJI06ToTJomP+9qzGWZeLuDuBo82MotDLv21eOKpLIUGAFINI9tNisr5F7NLr3J39uyRB1OlRmWZSJdJ0sVBgXy0JE36b6kxYC8ViLA2904O4ZXmDKmy0Lht76oz0RC69aDIB/214iA64y640XI+i0BFoace/ZcdI4gkpF2oIlpC8Z/sbXd0QWDA3zqgf9e7hLfm2NRbZhN3g8h+RK/uJFNqz5xmHPHSfojfDwf3xI45Y+dCY1NT+6EVO5/HmVJIm6+97AubsVlVFL9hfuQDToifkCdP/8r0Q6e1Gn2yi849Oo9EcX/1Gvh45H/07Tb35K2OlIOAfTi+ZgyatAa7IiCEM/H0EQ0RjMGLOKyKhcStHKy5lz1Reo/Op3EbSD93o8FeKfT+PSeQiqoW/i467auMs2FUzl2QjCgNjXe2qCZ8eBAcGyyIbamJoofCyJ7/sIFs+JWNL+UfQxnLcIY9UcTNkjdzLPJEIeOxHP9N48N5RVgCAQ6eghMkhUtIKCgkx63oBg2D29v/MjRVCJzPu/K9EXWIn22vG8u3Wyp3TaUVHtJtbUADGJjFUVLPnNR6j51hWnhXtDYezxtzvw1vcgqgTmnJ28wDSvWv58NTdF8XpP3lNoOBIhFARRLZCeP7hgWLYiA0EAX1PftOoBq7UZUQ3cj7u6x76o0WjVcvc/VnPGLaUAtDyymZ1fepRgr2fMzzXdEbVqKj95Fsv/cDvpC4uIBSNoehuTpv0oTA5SLIb94WcBOdVpNMXr05FoQC4oGMxlraCgoACKYKgwBLpZZcAECoZWG6hUSNEIIY9jzMZV62TBIhyZeVFMZnM+JmMOUjSCs3nf8A9IAct8WdwK7K8j6hl8gSQIAqY1co+4rtdGl8uvsehZ+MPr0BdYMWfpmH/PNWjSDaMay1BoBSA8hMMQkB15gOfg3hHHGQJoM+XY0Uj3yUKFfk4FglZDqNeTcAbGMVfmkDavgFhEYtsTw1eq5s4acBjWHxVAzVU5pC8sQorGcD77JgBqWzrpl50NQO+rzxMLBUf8nABi4RC+ge+5fn4SwbBTnksqferifS0K5llTnkPAE+Yfn95E0/Z+dGZZLEyvKUj8ve3pHXS8uAdEgcxP3Yq2MJdYKEz3vQ8SampHTDNTdMen0KQfPad73y4af/MT3Ht3EguHkLbWpTyf4TBlFaMymcd80SfFYnjiguGK+cMeH+/bORKHocqgwVAsi26dB06O2B0JccHQUjXKxZUwMochgDpHdqOPRjC01Cyk6PZPoj578YgfO5No3/4K9T/5Nv3vvj7ZUxk1KoMRXd5Ab1rFZaigkJT0PPneKthzegmGAJp0Iwu+fw3ld69j4afnTfZ0ZjzBhlb6/vo4JbmdlBX1IKhEZn3hApbefxsL7rmGtDlDp10oKAxF70b5Pr50WQZGa/IiNVOGDku2XNBXe/B4l90rL/q59Tr5/jF/dhoq9eDbYcZ0Lflz5fWYY+f0cRkCaDPlJI5UilRHg0an4opvzOfmXyxFZ1bj2tvGns88gH2avU4Thak8i0U/v5G537iMirvXU1bUQ1lRDxG7U0nJmAJ4N+4g1NiGyqil/M61kz2dCSMadxgah2jjoqCgcFqjCIYKSdHPKgcmTjAURDHhfgu6esZsXLVuIL5uBjoMBUEgO1veAHGkIBhKsSiuPTvoeOLhpD3DtFk58iZsNIZvW3Ix0LxaFgwdO5oJdI3O3aHLtrDygY+z5O+fxjggYIwGfcJhOLSAoC0tQFOQA5EInn27RnwezcDnMzyIw1DQatAPuPP6Np38nSm4cjEA2x5rIhoZ2kEbFwy99cd/D8o+vkb+93e3JBx/lovXocqyEXE56H//rRE8m6P4mxogEkFlS5Nfn0GIjEQwrO0EUhcMfY4Q//jUh7TstKO3aKj50U2kzT0aNdS/pZEj978NgO3GSzEsmoMUi9H3p0cJ1jYiGHQUfeRTaLPkuUuxGF3PP0HHv/9G1OtBb81jzuWfI7NqWUrzmUz8TfVEvR5Ek+G4Ho2DIUUiiYi1kTgMQRaxAToOnpozKy4YmqsH/9wMR6KH4Qhc5ZqcAYehfWzjq08n/Ha516oma3Tv21TBWC67xgMHlA0XBYVkJByGp6FgCGAszqDkppUIgkBZUQ+xQBApFJ7sac0YpFgM386DdP7oj3R+5zd43t1K12tH1yS2ZaVYqk8Px4bC+BKPI605b/jPUzyt5dAB+bvuccf42n87+PynHTgdEvlz0rj+R4uHHKNipbzus++YXkKYbqCvuatrfATDOPMvzOc//r2WvFkWvP0h9nzlMZr++SHSCIoATxcEQSDnnDmJVCSAyIvP0PWjP9L9678nCnMVJp7Zl+WQtbaKsttXo7WZJns6E4IUjSGF5b1AreIwVFBQSIIiGCokJe4wDPV0EfVNTBSHZsDBFXCOnWCoGnAYRmagwxAgO6sGW/liMiqXpHR873NP4d61DV9DcreVZf5iAHxDxJKqs2yJvn2jdRmCLBiI2lOrbIrffEf7ncSG2AQ61hnp2jV838cTiQuGka7Bb+oNA7Gk/R8cOelv2euq0VgNuLoD1L7TNeR5cmfJC71Ah5OI72iPSOuCIjJWliNFYzieeg0AUavBdtOl8nnfe2NUzyseR6qfX53UMRfulL+TxmEEw4g3iL9F7hdYUJM+7Ln7W7z8+aPv07rbjiFNQ81PbjquAt3b1Mf+e56HmIRp3TIsF8mVf85n38S3ZQ+oVBTe/An0+XKvQykWo+u5x3Bu3gCCQN6i85h79RfHPILS3XGE7hefwrl985iOG3cXGpbWIKiHiSO1u0CSEDQqNNaRuXPNVQOC4ak6DPcPCIajjW+ZYIdhnLDTnlLv15mIFIvit8uivi43eQ+g6YAhLhgqFdoKCkk56jBUIuNi4SieP/2Vrl88QMw3vpvpMx0pHMHz3lY6vnkvPfc+SPBgPYJKJPeCGtIXDN1/WUFhpITsXtz72gCYe+7wTtW8gbXUoQMRtn4Y4qqLe3n6cT+CAOs/Ucmn/rWG7HLzkGNUnCHfbzp2tJzi7CeWuMPQ1T265JmRkFVq4lP/XMPSq4uQYtD41/fZ+62nCbtmXqH2WCLFJDk6VhTwb99Pxzd+Qf9Dzyq9dicBjUVPzbevpPDapZM9lQkj6j+6X6ZEkiooKCRDEQwVkqKymBJuI39Tw4ScU5dXgC6vAFE98l5YyYhHksZiEaLR0DBHTz8slkKWlN6IrWzhsMcKogpr2QIA3Ht3Jj3OPCAYBg4cIepKvsFkWhuPJd03qQ28NemGRL+GSE8KsaSCgL/xCGH70MeeiDZzQDBM4mQ0LpoDgLu266ReDqJWTd4l8mu/+ZHGoedo02HJkR0B3objxfN4VIZv0y5CTe3yeZfPx7hqEUSjdD7xML1vvjyi98NbF+9fOCvpMfG+jcM5DD2H5ThWa4EBU8bQ/f1a99j5823v09foRZdjYd4vbj2uCj3Y62HP/z5B1BtEV11K5u3XIAgC3i17cD4tRynmXn5dwmUE4Ni8Ade2D0EQKFt3M4XLL0VUjX3Uhr+/Hcem9/DWjl4sPxEpFkv0LzQtXzDs8UfjSNNGHI0aFww7D45eMPQ5Q9jb5EIMS9UoHYbxu5DR9DC0j04wjAb8NPzy+zS+80+C7tGLjtOVoKsXKRpB0GjR2DInezqnhKF0oI9hV2+it6uCgsLxpOWe3g7DY/G19OM60EHwYD2dP/i9ct0YJVGPj7b/+TF9f3mccHs3KqOWohuWsfIfn2DOVy85pdQQBYXB6Nt4BEmCwnnpWPOHL5KLOwxfeMbP7Tf10dYSxVpo4BMPnsmFX5yDWjP8Nljp0gxEtUCg04m/Y/pcK3SZshDqHocehoOh0au49p5FXP2dBai1Iv0f1rP9Mw/hPtQ5IeefjgiiQPV/ncfyP91BxhkVSNEY7tc30v7Vn+B48lVifqWgZbwJ1DZSWijvWwiCgCCePr0lo0FZMBREUGsVSUBBQWFwlKuDwpBMdB/DrHMvpvQzXyZr1soxG1PU6BK70jMxlnSkZJQvBsBzYHfyWNKMLHQFRRCL4duWPOrUuGw+ol6Dv82Ba1/7eEw3JQRBSLgMh4slVWeko59TAYBr98gcRprM5JGkACqrBW2F7GTr/3CQWNLLFyEIUL+pl96GoSv9c6vlylhv/fFuRnNVDtnnzAbA8cQrgPz8sz55E2mXniWf++1X6Xz8IWLh4SO3Im4XoS45nlBfM3gEZiwQJOqQoysNhUMLhqnGkR58q5MH79yItz+EuSqHJffdiqks6+i8vEH2fP1Jgt1u1HlZZH/+dgSNmlBTG31/ehQA65lnkb5s1XHjpi9bhal6LuVn3Upm9fIh53AqaM3y6xB22MdszEBLE1G3C8GgR19TNezxkQHBUDeC/oVxzFWym7u/xUfAPbpotnj/Q31+OmqzflRjCOJAJGks9UjShMPQ6Uh6DRsKld4gC02Ao3HviB8/3TnqLsxLvP7TFZXegC5fdrIosaQKCoNzOvcwPBFzRTaLf3ET2gwT4dZOOu+5n3B79/APVCDSK9/vlBX1UDnHi6XChjbTTPnd61j1z09S+amz0Y8wHl0hdaLBMD3v1nLghy+y91tPc/BHL1H3mzdpeGADLY9uoeOF3fS8d/i4ZJKZRO8GORln7nmp9cHMG2jv4HJJxGKw5OoiPvvEOsqWpS5m60xqiuZbgenVx1CXJQuGrgkSDOMsv66ETz68GluRkUCni11f+Bftz++e1KLiqY6pNJMF37+GhT+9AcvsPGKBMM5n38T16vuTPbUZjXfLHrp+8HsO/uDF0zJCN+4w1BrVIy46VlBQOH2Y3jtFCuOOboL7GI4HgiBQfeFdzL78v9BojJM9nXFBkiT89k669r477E25Oa8Ctd5MzO/HV1+b9DjLvMUAeDcn7/Un6nUYlsvOxq5Xh++hOJ6kKhgCmFbL8a2uXdtGtIiJ99iMub1Jo6wMi2WX4WB9DPW5aWSskoWKLY82DnmuvNlynOeJfQwByu5YI0eY7D5EoFYeRxBFbDdeQsbHrwOViHvPDlofvJ+IZ+gNwvhnQFtaiCpt8GieeASrxmpAYxlaGHLXynGrQ8WRfvivBh75whbCgRgZK8tZ/MubEtWwIEeG7fu/Z/HW96CxGcn50p2ozCaiDjfdv/o7UiiMsWoO2RdeDshiU/x9FDUaZq/7BBmV4xsrorXIGw4Rx8hcqkPh3i9/14xL5iJohndFJhyGuSPfoNOkG9Fly69556HR9TFsT/QvPIXeRPFFygi+hyqrBUGrgViM8Chff3ON7OC0NyWPXZ6p+Prl4g5dbsEkz2RsONrH8OQoaAUFhaM9DEN2L7HwyIssZhrmqhyW/PoWDMU2on0Oun/4OwKHmyZ7WlMSKRzBs3EHnff8jvav/pR8w9HEmTlfuZgzHrqLkptWojYPnSihMDpi4Sh9m+o58KMX+eD6+9n/3efofuMAfR8coev1/bQ9vYPmhzdR/8d3qf3la+z/zrNs/8xDM644IOIN4twhf0dT6V8IkFVmwlZkxGoTuOWXS7nunkXozZoRnzsRS7pz+sSSajMnRzAEKJibzmceXcucc3KJhmMcvvc1an/2SsLRpDA4tiUlLPnNrdT8vytIm1fA/DvmUFYk7wFEHK5RFUgqDE6kpx/7g48DctHt6eQsjBP1y4UlWqMSR6qgoJCcsc9pU5hR6AcchoHOVmLBIKJuYhaEUiwKgoAgjI2mnVYkO7JUnvHP8p8MYrEIB565FykaxpJfiTGzMOmxgihiK19Iz4GNuPfuxFQ9d9DjLPMX0/va8wQPNhB1uFFZB3cxmdcsxfv+NrrfPkTlZ85BpR/5Ymws0A8Ihsncf8diXL6A/n88Q7i3m2B7C/rCkpTOIer0qMwWoh434e5edGUn92gxLpqL88nXsG9vIhoIn/R6FFyxmL4P6tn5TAvn/tccdMbBL8PxPoaeQQRDY5GN/EsX0PH8bhxPvELe/34q8TfLWStQZ9vo/c1DBFoaafnzfZT+x5eSfnd99YeB5O5CINGIXZNuRIpJQ95YxyNJX//VQfa/1oE+TYMhTTPwv1ra9zmo/1AeL//SBVR//nwE1dHvecju49BPX8axoxlRryHz83eiyc4g6vLQfe+DRPudaLJyyL/howgqFbFggM4n/4XGlknWRVeQ1sxREWoc0ZqsAER93jG5NkqxWKJ/oXHF8HGkAJF+BzA6hyHIm6bBHg8dB52ULR95NGW8f6GlenRxpMDRz9IIBENBEFBnZxBu6yLc34d2oPftSDDPWUDPC0/h7W4i4OpFn5Y1/INmCP4BwVCbN737F8Yxlldh3/AWQaWPoYLCoJgytKg0ItFwjGCvB0P+8P2FZzr6vHSW3Hsze775NO4DHfT89E9kfuoWjMvmTfbUJh1Jkgg1teH9YCfejTuIueU+9oJKxLWvnez1cny9Lmt09x4KQxOy++h6dR/27U24DnQQPcYxmJ5vYMHF+WSWmAi4wwQ8EYKeMAF3hIA7TOteJ55WOzu+8Ahzv3EZ6TUzozCof0sj0XCMrHITOZWpfe5UGpHPPb1+IHJv9JviFWdk8vYf6nDsbEaSpGnhxjnqMJycfQ9DmoaP/HoZ7/7lCK//+hCdr+zDXdvFrP++kLS5M+PeczwQBIHs9bMS11iA0sJudvz4X/h7g1guWI153QpEg1KgMVpigSA99/+LqDeIZW4+ZR9fM9lTmhSiAVnAT7YPpaCgoACKYKgwDOosG6osG9FeO77GOsyzx38h3fLA/QRaGphzxecxZsyMhc54o1JpyLJV09O7n/4jO4YUDAFs5YvpObARz/7dxC6/DlFzcs9IjS0DfVEpgdYmPB/sIP2S9YOOpZtdjjo7g0hPP91vHCD/suF7KY4HhkIrAJHu4R1HokGHYUkNvg934d67K2XBEECblYPf4ybc2jWoYKgpyU+8Hr3vHyb3/Jrj/m5bXoah0Ia/zc4L9+zhqu8sQjVIHw1HhxyfK+oGv0yX3raKjhf3EDzUQLizB03eUdHEUFNF3jc/Q9dP/0y4vxfHlo1krD1n8NdCL0eV+XcdJP2aCxC1Jwu+cbHY19THwZ+8xOwvX4SoHnzxrc9Lw98mx1a17x+834cgQNnH11J8y8rjFt69G+qo/eWrhB1+BI2KrM/chq6siFBbF92/fJBorx3RZKTwI59AZTAQ6u2m/V8PEOrpApWK/NzlkDExC1FHkxxlKer1COpT/yn1NzcQcToQDDoM86pTekzULjsD4xsDI8UyJ5++D+pp3NLHmbdVjOix7p4Ah9/rTowzauKC4QjjYNQ5mYTbugj192BizohPq0m3Yqyag6/uIN373qPkzGtGPMZ0JWvWGQj5GRhKyid7KmOCobQcVCoiPf2EO3vR5J0+4q+CQioIgoA1X09fs49gl0sRDAfQpBtZ9NMbOPD957HvaKFsqZpuOK2vI6Gmdnp+89Bx/cC1WWYKLl9I/qUL0WaYJnF2MxcpJuHY2UzH87vp33iYaOToPZE5S8eCi/JZcEkBxYusQwpW9nYfD971IX3NLnZ/8RGKb11F6W2rjivMm47Yt8nuwtnrR1agptGfunumeJENlUYk1Ocl0O4YtjXDVMDXIn9/9ebJ2+oTBIGz7qqiaL6VR7+yA29DLzs/90/yr1xM+cfXKq7kFAl0uvC32Ym4Atj/+Tyup1/FuG4laeevTvR0V0gNKRSm51d/J1Tfgtqip+YblyXdz5jpRL1xh6EiBygoKCRnet89KkwIhoWyO897+ODEnDAWRYpE8Pd3jNmQvt5Wuva+Q1/foTEbc6qRlyvHbPYf2TZsPzBzXjlasw1tdh4Rd/I4wrSlci9J73tbk0Z3CqKI5bwzAWh7asek9Skw5FsBiPQM7zAEMC6fDwz0chzBnOP9skJNbYP+XRAETGvlOMzOl0/ujyaIAhV3r0MQYNdzrfz9k5vw9h9fASpJEjufkaNvcs8d3AGqy7KQsbwMAO8HO0/6u6YgB+u1FwJg3/AWsdDgPU0y15+Pymwh3N6d6Il4IvrZFWTefSOIAt2vH2Dft59NVKadyPzvX8OKv36Mxb+6mfn3XMOcr11C1X+eQ+ntZ1J47VLK7lzLir99gpJbz0hsenjqujnwwxfZ9+1nCDv8aIryyPvWf6JfMGsgCut+or12NBmZlHzic2gzs/Ec2EPzH35JqKcLjTGN2Zd8BsMEiYXRcJD2bS8BkLH+AgTVqS82XDu3AmBasVCO20xlHi65D+ZoN/Bsy8oAaPiwl2g49R6CAC/+cC9BbwTLrFysC08WzlMl/hkY6XUjvpkb7j3ZgZsqttVyz8/eus1Egr5RjzPdUK1fQM5l16LPH/37NpUQdXoMJbLg7d89QfcpCgrTDGuhHMkf6By8kOd0RaXXMO87V7Pk17dgLM4gVzxMxzd/QdfP/kKoafJ6c08EkiQRbGwjcEh2Z5cV9VCxKEbU4UTUqcleP4v591zDqofvpvS2MxWxcBwI2X00P7KZzR/7K7u/8jg979YSjUgULbRy+dfn8Z+Pr+Mrb5zHZf87j5LFtmHdbbYCI59+ZC2LLisgFpVo+scH7Pj8I4lCvulINBCm9z25fULV6pEnSpwqGp2KwnlykYVz3/S4JnS/Kd8Lzb948t18lauy+NzT61l8ZSGSBO3P7GTLJx6k591apbdhChjy01n18Cep/vz5coy2L4T7lfdp++pP6fnNQzP+d2qskCIRen77MIEDR1AZNCz44bXo807f4qmIV9570lsUwVBBQSE5yhVCYVgMC2bheXMTvsMHJiSKQ5ubj7+pfiA2bdmYjOlsPUj7tpeI5C4hM3P2mIw51cjMnI1abSDsc+HuqCOtcFbSYwVBpOaaL+OrNgw5pmX+EnpefppwezehI83oqkoHPc68bjnOp1/B29iLY2cLtiWpO/bGCn2BfNMX6bUjRaPDijiGBbMQNGrC/X2EujrQ5aXmZtUXyO7NoW7QzWuX43z6dRw7W/C3OxL9FeNkra2m5rtXU/ej52nc2scfb3mPW369krzZci+61t0O+hq9aAwqstYnfx9zzptL/+YGvBt3kH71+Sd9N01nLsH57JtEevpxbv0gIZAci8pkJveqm2h/+M+4X3kf4+K56OeeHE9qXrMU0WSk73cP0f9hPbu/+jjld60jvabguMplUa3CWDJ8vGXEG6T7zYN0vLQHz0DfQwRIu+QsrNdcQNTtpefev+HfJS96DSXlFNzycUSDkd7XX6T/3dfleeVVUHHu7WgMExeNFYuE0JWWQmc71lXrTn28UAjPvp0AmNak3nsx6pR71Giso9vEs1TnoE7TE3QFaN1tp3RZarGkB9/qZP9rHYgqgVlfuvDUKtdHEUkKoB5w1IZ6u0d9amPlLLS5+YTtffh6W4e8ZipMbcyz5uJvOIx/9yHSLlw72dNRUJhyZBQZOQL4OxTB8EQEUcBcIf+muAYEgcDew3TsO4xp9VKs116IOtM6iTMcO2KBIIF9dfh3H8K/+yBRuwvLrFzm/O42ANRmHQt/cj2WqlxUhslpMXA64KnvoeXfW+h752DCTagzq1l8eSHLry8hf87Ie1PHMaRpuOHHS5h1Vg7PfW8v7oMd7Pz03yj7zHnkXTx/WkRqHkv3WweJeILYigxUrpoc52/pUhvNO+0497SRd+HUji0O9XtxDPR7XHjJ1EhqMmXouP4Hi1lyZRHPfncPfc0e9n/3OTLPrKT68+cp8cbDoDJoKLhiEfmXLaR/ayNtT2zDvq0J39a9lF9RgYep8T5PZcJdfQQP1CFq1cy/5xrSTiUdZwYQGWjTNJkuZAUFhamPcoVQGBZ9TRWoVYTt/YT7etBmjb5fVSrEhZuxdBjq0+WNAJ+vd8zGnGqIoprcnIW0tX9IX93WYTe/VVr9sGOq9HosNYtx7dyC592tSQVD0WTAtGYF7jc+oPFvG7EuLp7wBakuy4KgUSGFo0T6nWiGiekQ9Tr082fh37Ef9/7dKQuGRx2G7UixGIJ4sliizrSin1dNYO9hOl/ZR/kg+fhZZ1Zi+PVt7P3W0zjaHfzlo+9zzQ+WUHN+fsJdmLF2NmrjyXGxiTFWVyHqNUR6+gkdaUFXdbxQK6hVpF1+Nv0PPEnvO69grJyFLvfkG2Tz7BrSl6/CuXUTvX9+jILvfQHRePLnw7h4DuKX76Lv1w/g2tfOri/+G22Giay1VWStn4V1QdGQ4pEkSbj2tdPx0h563jlELBAZmKeIYel80i5ai7aiGM87W7D/+wUkfxDUKjLPuoiMtecgqFR0PPp33Ht3ApAzbz1FKy9HECc2TiQwJ42COR8n6vcjjkEcqefgXmLBIOrsDHTVg3/HTkSSJKLOuMPQOKrzCioR27JSet46RN2GnpQEw4AnzAvf3wNA4fXLMVee2u9B4joxUodhflwwHL3DUBAE8q+/DXWalbTu4a+HMwFX2yECaNEVlozJZ3eqYJo1l55XniVwsJ6YP6j0d1FQOAFbkeIwTIXcC2pIm1dAwwPv0/PWIbwbtuPbvAvTuhWYVy9FWznx97djgfudzfg27yZY24AUjib+XdSp0eWlEwtHETXyvZR1wcxwn09FnPvaaP7XZvo3He25W7TQyorrS1hwcf6YxsMturSQ0iUZPP6/O2nc2k/tz18l1Oel9LZVY3aO8UaSJNqf2QnAyhtLEVWT890rWZIB1OPaN3i6zFSi551DSDEoXmQls2RquYIrV2Xx2afW884f63j3L0fo++AInj1NlNx1DvmXLjja11xhUARRIHNlOZkry/E29NL1+n4yV1WSpZLXQs2PbKanLojlnDPQlg7dnuZ0oqyoB4pE0r90IRqrAeui4sme0qQTTTgMlcIgBQWF5Myc3SKFcUPUadHPLiewrw5v7YHxFwwHBA2/fSwFQ3nOPn/PtGlYPhrycpfQ1v4hjsY9RFcHUWmG3jS1NEk4sn1Efd6k72va0pW4dm7Bu3kXto9cgagbXMBKu/xsvO9twbW3jf7NDWSeMbKeaKeKIAoY8tPxNfcT6e4bVjAEOZbUv2M/nv27yTr34pTOo83KQdBokIIhIl19CeHiRMzrV8gV6i/souSWlaj0J9+QmUozWfqbW9l/z/M4tjfz7y9uZf3d1ex9WV6Q5l40dBWryqAha20V3a8fwPvBjpMEQwDzmmV439tGsK6Jtn/8keK7PofGenL/jeyLrsJ35DDhvj76//kcWXfdMOg59bPKyPn6f+J84W38O/YT6vfS/uwu2p/dhSbdQNaaKtLmFRB2Bwj1eQnZvYT6B/7r8xJxBxJjaQpyMJ+1AtPqpagsJsI9/XT/9C8E9tfJ5yoqIffqm9Hl5CUeY1m4FM+h/ZStuYGMytTdeOOByjC0QzdVEnGkq5cMKkAPRszrh6i86ae1jk4wBMhYXiYLhhu7Oe9zw/cCfOPXB3F1BdAXWCm9/cxRnzdB/FI8wh6G8UjSiNNOLBRC1CYX1oci/nvjLpWvhzOd1s3P4+9vJ++Gj5K2YMlkT2fM0GTloMnMJtzXg/u1DaRfee5kT0lBYUqRoQiGKWMosFLzjctxX7+cI398F+euFjxvbiK4Yzf5P/sGjEEM+XghxWKEWzsJ1jVjPnslgihSVtTD/sZ9BPYN3Fvlp5N5RgUZK8uxLi5G1CrbAeOJJEnYtzbR/K8Pce5uBeRe3vMuzGfdnZWJuMvxwJpv4M6/rOKdP9fxxn21NP9jI7blpdPGXeM60IGnrhu1TmTZtZO3yV+yWF43+Zr7CTv9aNLH5v5/PLBvbwag5ry8YY6cHDQ6Fef/12zmX5TP09/eQ+seB4fvfY3uNw8w678vxFg09XtETgVM5VlU3L0+8f9jkShtT20n1OfF8/ZmtOVFmM8+A9PKhadlEZ0Ui+F8/i0qzs6CAQdm7nmDt3k5HYkogqGCgkIKKCsEhZQwLJgtC4aHDw4aaziW6HLkRUzY5yIS8KDWm099zLQsQCASCRAOe9FqT33MqUhaWjEGQyahqBe/vRNzztBupf76HTQ8+C+MpZUUfezTgx5jKK1Ak5FFuL8X3+bdmNctH/Q4tS0d87mrcb38Lg1/fZ+MFeUTXimoz7cOCIb9kEJijGHxHFCJhLo7CfV2pySGC6KILq+QQEsjoaa2pIKhcdk81NkZhHv66XhpD0XXDC5uadIMLPzhdRz5wzu0Pbmdd/90GABdbhrWhcMvjnPPnSsLhpt3Y7vlcoQTmncLahXZX7iDrh/8nnB7N21//wPFd/0XKuPxVaeiTkfetbfQ8tff4n1/G8YlNRiXDf4iagpyyLr7RqRIhMD+I/i27sG3bT9hp4+OF/fQ8eKepPMVdWoMKxZhPmsluqoSBEEgFgrjeuU9HE+8ihQKI2jUZJ17KdYz1yOIIhGvB7VJ/s7mG+aRdcM30BgG/w6HfS6crQfIrF455oUBvr522preJdN2CZo065iMGXG78B2Re6uaVqcu4MTjSNUW/Slt9tkG+mB27HfitQcx2ZIvKlt29rPlkUYAZn3+fFS6U19kjLaHoWgxIZoMxLx+wv29KTuEkyFJEt6eFoxZRTO2oCQS9CUKcYxlJ8cOT2cEQSDznAvpfPxhnC++g/nslajSZubvvILCaLAVyhvcASWSNGUss/NY9LMbcOxopvPVfehz0igv7QdAisbY8pWX0M+rwrBgNurczJQLfsYKSZKI2l2EWzoItXQQPNxE8HAjMZ9cmFWxLh1TiVxck3/xAiyz88g8owJD0fC98BROHUmS6NtYR9NDm/AcluPTVWqBxVcWse7OCrLKJuY3SlQJnPOpanqOeNj9YjsHf/gSy37/0WkROdv+7E4AFlxSgNE6usKwscBk05JdbqKnwYtzfztZZ07NeyhJknDtl2OVy5YNXzg7meTNSuOTD61m0z8bee3Xh3DubmXHpx6k+PY1FF+//NTaHZyGCCqRud+4nI7ndtHzXi2hhlb6G1px/PMZ9EvmYTlr5aAtR2YiUY+X3j8+SmD3Ifa/Z2HFXz+GyjB514+pSMQbAuQobAUFBYVkKFcIhZTQz6sGwN/SkFJ/uFNB1OnQ2DII2/vx27uw5J/6gkpUa9CarYQ8dny+3hkrGAqCwML5HyVUk4eoHn4haMoqgWgUX8NhIm4XasvJPTMEQSB96Up6X38Rz3tbkwqGAGmXn4X33U14j/TQ8/ZBcs6d2EouQ7yPYXdfSserTEb0cysJ7D2MZ/8eMtafl9Lj9AVFsmDY2I5p1eJBjxFUKtIuPYv+vz1F66NbKLh8USLu6eRjRao+cw7mimzqfvUa0XCM3AtqUhJcbctK0ViNhB1e/HsPY1x8sktMZTaS86U76fz+/YR6u2l76M8Ufew/TnJlGUorsK05G/v7b9H34JPoqkuH3HQX1GoMC2djWDibjNujBA7V49u6l0hXH2KaGVW6GVW65bj/1DkZCZdqxO7C/cYHeN7+kJjHJ8+hrJLcq25Em5lN2Gmn56Vn8DceoeTTXyTDKVednigWhv1uHI176G/YiaejHpAwZhRizJJjtZwtBzBmFqIxjr4njCRJtG5+Fnf7YaRYjPzrPjLqsY7FtXs7SBK6qlI0uan3Zom5BuJIbaN3FwLoMs2YKrLx1vew75UOVt5cNuhxkXCMZ7+zG0mC3AvnYVuWWnTqsCQ+4yMTDAVBQJ2bRai+hVBv9ykJhpIk0frA7/A3HmHWpf+BJb9q1GNNZTxdDSBJaDKzB73WT3cs85dg3/gOwfZWnM+8QcZHr5rsKSkoTBlsxfJvRajfSzQQHjT1QOFkBEHAtrQU29Ljf/Mcu1vx7zqIf9dB7DyPoNehLStEV1aEtrwQ3axy1Laxuc5KkQhRh1uO2y/MQWWS30vXS+/iePSlk45XGTSk1RQQOyZ61LasdOx+txWGRJIk7FsaaXxwA+6BHt0ag4oVN5Sw5vZy0vMmx512xTfm07itH1ebnfo/vUP1586flHmkSsjuo+8duaDujJsm/7NbsjSDngYvrr1tU1Yw9LfaCTv9qHUi+TXj51wdK0SVwOqPljPnnFye+c4ejnzQS8Of3qPn7UPM/vJFp9z24HRCEASsC4uwLiyi0nEOna/spfPlvfhb7Pg27cKaAwwIhjM5bStY30LPbx8m2udA1Kop+9hqRSwchKORpIocoKCgkBzlCqGQEprCHASDHskfINjVjr5gfGNBjNVziXrcKYleqaJPz5YFQ38vVmvZmI071TCZcoik+Lrp0jIxZZfi7WnCvXcntjPXD3pc2uIV9L7xEsHaRsKdPWjyBnfVqcwmzBedhfOp12h4cCNZ62chqicuuklfYAVSFwwBjMvmE9h7GPeB3SkLhkf7GA7dy8K8ZinOZ14n2OOm6/X95F+yYMjj8y6ej7Esi76NdRTfkFyYPRZBJZJz7hzantyOd9OOQQVDkPsq5nzpTrp+8HsCrU10PPp3Cm75+Enif+a5l+A9fJBQVwd9DzxB9uduT2lRIahVGOZVYxgoLhiKYGMr7lfex7t5N0Rj8vysNjLWnUf6slUQi9H/3hv0vf0aUjgEokj0w0Mw5/i+K+7Oejp2vIq7o+64HnhplmIMTR7SnUG6slzUv/l3BJWa0rU3Yisb+j1Ihq+3BXf7YQSVKuX42lRw7dwCgGnNyOJV4w5DzSnEkcbJXF2Jt76HF76/h6ZtfVz05RrSco/f0NrwQB3ddW40VgOVnxo7l3niszXCSFKQ+xjKguHo+xjG56DNzsXfeISuve/MXMGw4wgw89yFcQRRJPuiK2l94He43/4QywWrk/5WKSicbhjSNOjMaoKeCIEuF6bS4XvWKiTHXJFF1X+eQ8+7tbhru4gFggQP1hM8KPemq/j0WURXXQJAsKEV1wtvI5pNiBYjKrMJ0ahHisYgEkU/vypxrQq1duJ560MididRu4tov5Ooy5O4x6n59pVkr5Pvs/oW6nA8LmAsycBcno15di7WBUWYq3IUd84k4djVQsMDG3DtldcHWoOKM28rY/XtFZhsk7tpbUjXcO33FvLgJzfT/uwuMlZVkrmyfFLnNBSdL+0hGo5ROD+dogXWyZ4OpUtsbHuiBefeqdvHMD63wvlW1Jrpcw3IKDLysT+uZMezbbz04/14Dnez4z8foviWMyi5dVXSgluFwdFajZTctJLiG1fgPtRF12v7yLtwHpYieb3k2NPK/p+9jXHpPAzLatCWFk57ATHicOF89k2872xGisbQF1iZ9+0rFNE5CYlIUrNSPKagoJAcRTBUSAlBFNFXl+LffQh/U8O4C4a5l18HgGkMe0rp0rOhrRafr3fMxpyqpB8J4qjQEgl40BgsQx6bUbVUFgx3b08qGKrT0jFVz8Vbux/Pu1ux3XhJ0vHSLlyL+/WNBNoddL68l4LLF53ScxkJhnwrAOHu/pQfY1xSQ//fnybY1kLYYR+0v9+J6AvkRuKhprYhq/QErYa0i9Zh//eLtDyyhbwL5w27iZM2J4+0OSPrO5Fz7lzantxOYMc+oh4vKvPgTe61hblkf+FjdP/0z3hr99P9wpPkXnl8r0JRrSb/ultp+sO9+HccoO+P/8a4ciH6ORWIBv2I5nUsEbuL4KF63G9uIljbmPh3Q0k51tVnYZ49D0Glwt/cQNfT/ybUK8c3mXPLKV59LcaM4x1krtZDHH7lj4n/b7EUkpO9gJzsBRgMR99Dc3MQoz4Tj6eD+jceJGvOmZSsvm7ECyN7/U55vJqFaGxjs9Ea7Gwj1NUBahXGlSMTMqPOAYdhxuDv9UgouWUlEXeAjud2svfldmrf6WLNnVWccUsZhnQtvQ0e3v2DHJVb+R/njG3vlrjDcISRpMDRDda+7lOehu3M9Ti3bMTZvJ+Aoxu9deYtMN2d8ka2YYYKhgDG8ipMs2rw1u7H/tjL5PzXRyd7SgoKUwJBEMgoMtJx0EWgw6kIhqeIJt1I4TVLKbxmKVI0hrepD09tF+7aTty1XaTNySd9YHO2u7aezq17k441538vJXegRqy3qYGONz446RhBo0KXZSbqDyX+zbasjHXPf07pQTjJSJKEc1crzf/6EPu2JgDUOpEzbi5l/ScqMWVMnf5hVauzOfMjZXzwcCO1P3uFZX+4/ZSTKsYDKRqj/fldAJxxS9nkTmaA0qVyxKe3tpNYKDIlv3eufXIcaeni6dcHUBAEll5VxKw12Tx7z172v95J0z820ft+HbO+eAFpNafWeuB0RBCEQfcVul8/QLitC2dbF87n3kSVkY5h8VyMi+ein1OBoJ1eIlLE7qLjf39CLBABIGtdNbO/dCFq8+j3LWY6EcVhqKCgkALKFUIhZXSzymTBsPFIUmFpKpNTs47MqhXk9E/9iI5Txe1uZ9/jj4AkMe+GryEIyUUqW/kiWj58hkBbM8HuTnQ5g4tVaUtXyoLh+9uwXnMBgmbwy4do0JF+xTnY//k8jX/bSM65c1EbJ6aqVp8vv7fRPnvKj1FZLeiqSwnWNuI5uBfbqnXDPkabnYegVhPzBYh09Q7pYjGfcwbO59/G32an+82D5F5Qk/LcUsUyOxdjSQa+5n4Ce+swrUou0uqrS8n61E303PcQzu0fknPpNQjq499LXV4hWedfRu8rz+L9YCfeD3aCKKKrKEY/rwr9vGp0FcUn9UuMI8VihNu75X46tY0E65qI9Bwj4qpELPOXYFu1Hn2hXHwgSRL9775B75svQSyGWm+maOUVZFQtG1TcsxRUYcwswqrNp6RkPUbD4JufJmM2y5f+B4frXqStfRO9Bz+gYOnFSXsgDoa/v4PuQxsBMM8bOwHctXs7AMbFcxMRY6kS9XgBxkS8U+k0VP/XeeRdPJ+6+97Atb+Dt357iA1/rWPpdSU0bukjEophW1FGzrmDO1hHTSKRdHQOQ4BQT9cpT0OblYNp9jy8h/bRtedtStfdeMpjTiXCfg++vlZgZguGAFkXXo738AH82/YRPNKMrrJksqekoDAlsA0Ihv4Ox2RPZUYhqETMFdmYK7LJu3j+SX83z8ql6r/OJez0y/+5/ES9IQSViDggBMYxFNkovmUluiwLumwzumwLumwLmnTDSfdCiutmcpEkCceOZhr/tjEh1KjUAsuvL+Gsu6tIy52am9UXfnEOdRt76Gnwsud/n2DRz25EbZ46oiZA/7Ymgt1uDOkaFlycP9nTASCj2IgpQ4u3P4S3oRfL7JEVd4430WCYvk1ykkTpFO9fOBTmLB23/HIpe1/p4Lnv78Pb0MuOz/2LvIvnU37XOrRjkKxyulN+1zrS5xfSu6GO/q0NRPudeN7chOfNTQg6LQU/+G/UmVZCLZ1o8rKS7vlMFpIkEenoQVOQQ1lRDxRBYEkpIYePik+sw7p4fI0NM4GjguH0EocVFBQmlql19VeY0ujnyJuMvsYjSLEYgji+UReSJBF09aE128bkXPp0eXNZ7Qqe8lhTHaMxi6jXQyQawNVykPSS5CKVxmDBWlyDo2kvzq0fkHPpNYMeZ549D3WalYjLgXfTziF7GVrOXYX7jQ8Id/XR8shmyu9ce8rPKRXi4knMFxjRZ9SweC7B2ka8h/alJBgKKhX6olL8jUcIHGwYUjAU9TrSLl2P47GXafzbRrLPnj3mmzyCIGAsy8LX3J8QkoZCUywvvgWVCpL0I81Yczb6vALc+3fjO1JLuL+XYF0TwbomnM+8ASoVgkY9MIYoOydVKgSVSMztJeYLnDhJdLn5GKvnYDtjHeq09BP+LBDxuCAWI6NyCcVnXodad7wY5u/vQG/NQRBVCKKKFTV3o1INf6Mrimo0GnksU27ZiMTCaCjAkTf/hhQOY6ycjXnOyZuBoyHq9+HYJrsIkvXBHJKI3JtoLCucLdW5LL73FrrfOkjLI5vxNvSy6aEGeY4ZWmZ/6aIxj6wRBhTDUeiFaApzAVkwHIvfpIy15+I9tI/eI1vJX3oRWtPMKS5xtR6Ue2XmFaJJt072dMYVXU4eaYtX4NqxGceTr5L7P3dN9pQUFKYEmaWyI93fmnpRlcKpYyzKwFiU2ga+qTSTik8Mfx+qMLk4drbQ+PeNOHfLhThqnciya4pZ+/EKbIVTW9DQ6FXc+uvl/PmOD/DUdbPnG0+y8EfXozJMnY3jrlf3AbDoskI0uqkhjAuCQFa5GW9/P75W+5QTDLte2UfY4cdaaKBqdeo90acigiCw4OICKlZm8sovDrL96VY6X96LY+NBiu5YT8Hli5TY5VNAY9GTe0ENuRfUEA2Gcexopu+Devo21SOoBCoXhpDCHWz45G+JxUBXUYRuVjn6WWVoy4tQWU493WakxPwBAgfrCew/QmDfYcKdPZzx0F2A3Ct4zv9eisqgmfbRqhNFxC3v0xjSp851X0FBYeqhCIYKKaMtK0TQa4n5fQS7OtDnF47buSRJouEX9xBx2qm59n8w2MbuptxZqSP9yMwWDVUqLfn5y2lpfZ+ufe8NKRgCZM05E0fTXtx7d5J90ZUn9bUDWVyynrGG3tdewPXye5jWLE26QS+o1dhuvJSe+/5By2Nbyb90Afq88d9811iOVvPGvP6Ub2iNS2pwPPoSvsYjRAMBVPrhq4INZZUDgmE9lrNXDnms5fzVuF/dQKDTSceLeyi8anFK8xoJ8ece8/qGPTYeZ6k2W4a8sTZWzsJYOQuAsL0fX30t3iO1+OoPE/N5kaJRkuk8gkaLvqgUQ0kZhtIK9EWlx72ukiThqzuIqNVhKK0AIOvCK8gwVmAtW3DSvPrqttH0/qNkz1nN/OyBHoIpiIUA0WiYtvYPAcidNzJ3dPe+9wg6e1CnpZN3/UfGrFDCvuFtJH8ATVEuhqUjd51KA4KhoB7bBbMgCuSeN5ecc+dg39pEy6Nb8Db0UvX1y49zQYwZYsJiOOKHqnMzETRqpHCYsL0Pbeap9aszlJZjKCnH39xA9953KDrjylMabyqRUbWU6JwcpODM/u2Lk3n2hbh2byOwr47AgSPo585sV6WCQipkKYKhgsIp4djTStPfNuLY2QKAWiuy4oYS1t9ViSV7ajoKByO73MzH/riSv3x8E6597ez7v2eY/72rp0TMZsQTwL5RjsFfenXRJM/meLJKTTRt68fXknrri4lAisZoeWwrAGvvqEA1xmuDycKUoePaexax/PoSnrtnLx0HXdTd9yadr+xj1ufPn3Ki7XREpdOQuaqSzFWVSJJEqM+DIAj4u1yojBpiDr+cFlTbiGvgMWKambQL15B++TmAnCwkhcKI+rF1Koc7evBs3E5g/xFCDS3H9bsXtWrch7rQ58iC4USlWc0EJEki7JIFQ6NVed0UFBSSM/l3hQrTBkGtQj+rXI4lbagbV8FQEAQ06VYiTju+3tYxEwz7j2zH3VlPuWkpFsv4zX8qUFR4Ji1tG3C31xJw9iQcloORVjCL4jOvQbN+yaBiYZz05avpe/91wm1d+HcewLh0XtJjDUtr0M2tIHignvo/v0fNNy8/peeTCoJKRGXSEfUGiXl8KQuGmvxs1HnZRDp7cGx6j8yzLxj2McaySvqB4KH6IfsYAog6LelXnkv/P56h+eFN5F04b8wredVxwdDjH/bYmNMNgMqclvL4GlsG6ctWkb5sFVIsRsTlRIpGkGIxiEblxUI0CrEoglaLLid/0M+SFI3i3r8b+3tvEOxsR19USvHdnyOtGUAF5QuPn2s0QseOV+nc9Yb8/zt7iGVGEcXUK47dnnYisRBasw1r6cgcgqYrzsNmDMkOW9PYCGYRjxv7h+8CYL3mwlGJkFJ0wGGYJBb2VBEEgYwVZWSsKBuX8Y+eaOB/YyMXDAVRRFOQS6ipjWBXxykLhgC29efhf+jPOPrqKJRiQ8Y5Tyc8ZSoMlE72NCaM+PXKuXkDjideIfcb/6FUHSuc9mSWyfdEPkUwVFAYEa4DHTQ88D6O7c0AqDQiy68v5qy7pm706HDkz0nn9vtX8uDdcu/F2l+8xuyvXjzpv5Xdb9cSCcXIrbaQPzf1dcpEUDgvnW1PtiScpVOFnndrCXQ4Mdq0LL1m5sUxliy28R//XsvmR5t4/deH8NR2seOzD5N/xSLK71yr9KobIwRBQJdlAcBYnMGZj/0H/jY7zj1tOPe24drbhr/NQczlwWb1UTLQp9fX0s+WTz+AaDKislrk/9IH/rNa0M2uQFcm77tFPV4C+48kzimFw0T7XUT6HET7HZjPOQPjkhrKinrobTxM+3NvJY7VF1ixLSnBuqQE29ISNGmn3pbjdCQWjCCF5X0ExWGooKAwFIpgqDAidHMr8e8+hK/+MLbVZ43vuQqL8Tc34OttJbM6efzlSOiv34mzeR+2qsxJEwwlKQYI474gMxhsZNiq6e+vpf/INgqWXpz0WEEUyalZi9s09JxUBgO25Wvpf+8NnM+/jWFJTdLnIQgCGbdcTse3f03P24dwXr2E9Pnj/5prLHpZMEzBaXcs1qvPo/f3j9D/3mukLVqGxjZ0fJS+uBTUKqJ2F5HuPjS5Q8e/mM9agevl9wj19NP2zA5Kbh7alThSEg5D3/CCYdQhC4Zqs2VU5xJEEY3VlvLxkiQR6u3GW3sA5+YNhO198jhaLenWMswNEVAd/3MUi0boq91M5643CXnlzc3SkrOoKL9gxCKONb2UhTd/i6CrD2EkQmOpgICK7AvHVuzuf/d1pGAIbXnRqNyFAETkxu7CNO9hdKpXQU2RLBiGujqgZuHwDxgGU/VcCj5yF6bqOQgtisA0nck86wJcOzcTrGvGv+sQxsVj3H9TQWGakT0gGIa6XUSDYVQ6ZaNIQWEoPPU9ND6wgb4P5A1ulVpg6TXFnPXJKqz503+zumSxjVvuXcY/PrOFrtf3Yyi2UfqRVZM6p67X5DjSJVcWTrp4eSJVa+TCNPf+NiLeIGrT5Pd+lCSJln9vAWDVrWVoDdN7XZAMUSWw6pYy5l2Qx8s/PcCuF9ppf3YXPe8epvLTZ5Fz3twp93mZ7giCkIjUzr9kAQBRfwhvUz9a29HoZV+z7LiNeX3EvD7Cbcf3li+/ax0la2Unm3N/Ozt/96+k58xdmklpkfw9S19UTM65cwYEwlL0uVOrgGC6Eo8jVamFGXu9UFBQGBsUwVBhROjnytGB/qZ6pGh0SDfaKZ+rQI4h8fa2jNmYxowCnM378Hg6xmzMkeD1drNtxx+IRoKcuerL6PVWANo7tmK3H0GrNVNUuBqDIXUxZijyc5fQ319L3+Ft5C+5MGWhZaj31nrmeuyb3iFU30LgwBEMNVVJx9GWFGBetwLPu1s4cv/bLLnvVgRxfG/mNWl6Ap1Oop6RCYbGMxahe+tDgoca6H75aQpvuXPI40WNFkNBCf7mBrmP4TCCoaBWk371+fT96VFa/r2FgssXjmlFpDot7jBMJZJ0wGFomZgb754Xn8Lx4fuJ/6/Wm8ipWUd2zRrUupN7vXh7mjnyxoOEvU4AtFoLVZWXkpe7aFTnd1bqUKNDrU/NIRgJ+unZ/z6mwnMR1GP7Mxl22nFs3QiA9boLR724laIxAMTpHjsUf/6jaWIIaIvy8ALBrrG5pguCgHm2LOK6S8HSNLp5TSVaNz+Hf4cf25nr0OUWTPZ0Jgy1JQ3rirXYN7yF48lXMCycNe69lxUUpjJGmxZ9mpqAK0Kg3YmpfHr3uVJQGC/8bXYa/7aRnrcOIkkgiLDkqiLO+XT1lO9ROFKq12Rz+dfn8ez39tL4wAaMRTayz5o9KXPxtdpx7WtHEGHR5VMvCSijyEhmiZG+Zh+OXS1krU6+Bp4o7Nub8NR1ozGoWHXLzE+SsGTpueHHS1h6bTHP3bOX3gYvB3/0Ep0v76X6c+dhLMmc7CnOaFQGLWlzjk/+ylpTxeqn/pNQr4dgv4dQn5eQ3Sv/b78Xc2VO4li1UUv6wqNRw4JKRJdtQZdjQZ9tIa3m6DpFY9Ez9+uXjf+TOs0IJ/oXahWRXUFBYUgUwVBhRGhLChCNemK+AIGOVgxF43djqiuQIzX8/e1IsdiYbPQZMvIB8Hg7T3ms0dDatpFIRHaAqdVHK1Odzma6uncB4PP1smjhHWNyvqysGkSNnpCnH29XI+a8iqEfsKmOln0vo8srIOeyawc9RG22kL50FY4P38f1/NtDCoYgiyL+rbtwH+qk5ZHNlNx6xmifTkqoR9DL71gEQSDj9qvp+Nav8B7Yi7f2AKZZc4d8jKGsEn9zA8FD9VjOWjHsOUxnLsb14juE27poeXQr5XeuHdEch+JoD8MUHIbOU3MYDjqmz4u/pYlAcwO+hsPkXHFDIrZYX1SKsG0T5pwKrKXzyZq1AlGdPDNfl5ZNLBxEp02jtOQs8vOXo0qxX+GJ+Hy9QOqbDpIk0fTeIzia9mIJd5F/w0dHdd5k9L/9GkSi6GaXo59XPepxEj0Mp7nDkNG3MARAUywvWsdKMDyWWChEX91uMquWjfnYE4UUi9Jbu5lo0Efaoun7PEZLxrpzcWzbSLi5A9/WvZhWnroLVUFhuiIIAlmlZlr3OPC12hXBUEHhBII9bpoe2kTXy3uIReUbk/kX5XPef84iu2Ic+jhPEVbeVEpPg4cPHmqk9icvostNI21O/oTPo+tV2V1YvSZ7yvaErFqdTV9zE/ZtTVNCMGx5RHYXLr+2+LTqR1Z5RhaffWId7z/YwNt/OIxjZwvbP/k3Cm86g5JbVyoO+glGY9GjseiHva8wlWWx+Bc3TdCsFAYj7JL3ipQ4UgUFheFQSq0VRoQgiuhmD7gMG+rG9VzazGwErY5YJETA2T0mYxoy5Kolr7eLWCw6JmOmSjQaorNLFgUXp1+IobYL7YEWtAdaKArmU22WhbS+/lp8vr4xOadKpWFWxWXMuuQ/MOWWDXu8FI3gb6rHtWsrsVAo6XG2NWeDSiSwv45g/dAOUFW6hfSb5EjHhgfep39r4wiewciJ59mn4rQ7EW1hLpYLVgPQ/eJTxAZiH5NhKJcXioFDDSmNL4gi1msvBKD1ye2E7N4RzzEZcaE0moJQmnAYnoJgGPF6cG7fTOfT/6bxvh9z5Effov3hP9P/3hsEWpvx1R3E0iRhaZLINy9g8Ue+x6xLPkVOzZqEWChJEt6eZpo/eIq61/6CNOAyy2wVWTL/Tlad8SWKis48JbFw0+ZfcOj53xCLDv1exune+w6Opr0IKhW21WeP6rzJCPX14NyxGQDrdRedWlXfwGdzvHoYThynphhqimTBMNzfSyyc/Jo1UmLhME33/5zGd/6Jo3nfmI070Xi6GokGfYgGI4aS8smezoSjMpqwrZLj0x1Pvpbo/amgcLqSWSrHkvpb+yd5JgoKU4ewy8+RP77D1jv+TMcLu4lFJWaty+Yzj63l5p8vndFiYZxL/qeG2etziARj7P3W0wS6XBN6fikm0fX6fgCWXFk0zNGTR9VqWRCxj/N6NhXctV04djQjqgRW33H63eOptSrO/mQVn3vmLGatyyYakWh+eBNb7/77uO83KChMVyIu2WFotCqCoYKCwtAogqHCiNHXVALgG2fBUBDFhEPJN0axpLq0TES1llgsgt8/NqJcqnR37yEaDWJQpZGrqzhOLMjUFlFpWkqWtgSQaGvfNGbnLchfhqWgKqU4UkthNVpLBrFAAPe+nUmP01gzSFsgu1Wcz7+V9LjEuGetxLx+BUhw4Psv4O9wpjz/kRKP5hxpJGkc69Xno7JaCPf3Yt8w9HPTF8ou2GifIyWhDsCwtAZtRTGxQJjDv3oDKTY2kYfqkTgMXR75MebRR5KGe7vpevoRXNs/JNQj9yrQpWeTWb2C0nU3kp951M0kqjXHOQrDfg/t219h3+M/4uCzv6Jn//s4m/cT27qP9CNBANLSikYtFMZpaZWjP1VaA6JqeEO9395J67YXAci+5OrE+ztW9L31CsRi6BfORj+r7JTGSjgMp3kkaSKieJSRpKp0C6LFBJJEqGdsCksARI0G89z5ADRvfJJoODhmY08kjqa9AJhm1YxrhPhUxrb6bESjiUhnD573t0/2dBQUJpWssrhgaJ/kmSgoTD7RYJjmf29m+8f+SOujW4mEYpQuy+Cuv5/J7fevpGBu+mRPccIQVQI3/nQJebMshO0+9n7zqf/P3lmGx3Vdbfs+Z5jEzGaSmdmxnThkh5kdbpI2SdO3KX2lt2nftimnSdowM9mJIWQ7duyYQZItyWJmDWgYvh9jyQ7YohmNZO/7unSJzll7jTRz5uz97PUsvPbQbcTqjvZ9lbgarWhNSsYuTR6wcXvLsFnxyEoJR007jtr2iOZS9VpwE+LE89KITTu9rHJ7Q1yGnhv+PZNr/joNU5IGZ207hx5+m4L/XYurxRbp9ASCQYX3BEtSgUAgOBVDe6VREBG0Y4OCoaOirNsKrP5imjSN2AVL0cWGxhZFkuSuWNYB7mPY0HgQgAzd2JNWFmXrgw2la+t24/N5QjZ2pwjTHZIkkzAm2Oy+fee2roqv7yJ24VKQJBx7C3BXdW/xGnfDRaiHZ+K1Oin47Rr8nvBUenQ2oO+JcPZdyDotsVcF/fJbv/gEn+PkcRRaHcroYL9JT3XDSY87EUmSiLt2JZJSpnlrMVWv7+xTnt9Eaez54+4UDBV6Q5/H06RlYEwZQfKksxix/BYmX/drci9/mJxFV5MwejZqw3cvsgQCforXPUHdvo24LM3ISjXJSZOZNPEmYmK6scztBU1N+dTUBf+2SbmLuj3eY7dQ+unz4PNhGD2e6JnzQpYLgLu5EeuhfQBdVab9IeAP9jCUFEP8bbxLL+ybYChJEqqM4MKSq74mVFkBEL9kBarYODwd7dTuWRfS2ANBIOCnveIQQJf4eSai0GqJX7QcAPN7HxNwh+69VSAYaiQcqzC0C8FQcAbj9/ioeX8fO298mrL/foHT4iV5lIkb/j2T256bQ860uEinGBE0BiXXPzYTY7yGjrJm8n/5Pn53eOf6AH63l5InNgEw8dw0VJrBu8FJa1SROTk492vfXxmxPDrKm2neWgTAwtWhmz8NVSRJYsLZqdy/ZgnzbhiGJEPTpkL2rX6aqjd34/cKhwmBAE7oYRglKgwFAsGpGeIrjYJIoMpIRhFtIuBx46zsmRVjX4mZOY/Ecy5EnxA6a5LOWANdYej2BEWaKGXiSY9JUGeikQ34fC7a2kJXwelymana8R4lnz7f7bEJo2chKZW4aqpwVpaf9DhNYjLG8cF+UOYPPu02rqRSknjPdShNWmxFDZQ980WP8+8NHWVNACgTYvscQz9nMqq0JAJuD7aCA6c8VhUbXFTwtfXcukczMovYGy4GoPy5L7EW9UxsPBUB7zEBqQc97ZSxwcpCj7nnC4Z+j5uyvz1C7avPYihxEV2rYswF3yNj5oXEZOei1PbMrslckY+jrQ6FWsv4sVewYM5PmDD+KhLixyDL/V8g8Pt9HC1Zz6H8lyHgJyZnIqbUU/cYcXeYKfzo3zjNjSijY0haeVnIm4C3f7UVAgF0k8eiyel5T8WTIeuCFaVe29CsfOuky1K1HxN5zbBj/W6rykOQ0XFktZqklVcA0FiwlY7GipDGDzfWmmLctjZkrRbDyLGRTieiRM+chzIqBl+bBevm0GzSEAiGIgnDgu/V9srWPm/UEAiGKgGfn/r1eey8+RmO/vMz3C0dxKTpuOx3k7nnrYWMWZQU8vu/oUZMqo7r/zUDtV5B+77K4CbPMIuGFS/toKOsGUOcmqX39L2/90CRPj64KdJeFTlr55InNhPww/jlKaSM7rtjzOmGxqDk/B+P5+7XF5AxKQZXh5fSJzez544XaIugwCsQDBY85qArliFWVBgKBIJTIwRDQa+RJAltbvBmvuPokQEZ05oduslb6pTlTL7+twzLWRqymD3Bf6xiUCGd3BpRkiTSdWNISsxFpep79dc3CQQCNOZvpb38IC5L8ymPVelMxA8P2km2bd90ymPjl5wNgH3XIdzV3VcZKuNjiF19JQDVb+6hZWdoBeeAz0/7wWCVkXbciD7HkSQJw7xpAFj27z7lscpjfQA7+wL2FOOimehn5BLw+Tn8+w/xOftX9eLtCApHslbb7bGqrGAvT1dddY/juxvr8bQ24ywrReqHVai5phCAjJQ5pKRMRanU9DnWN3G7bew/+AyVVVsASJqwiOFn3dDt4o/PZcfj7kAZE0vm6ntQRfddbP7O+E4H5gNBkcJ09vyQxFREBRd9Pe19s94dLMjqoGAY6I9gOCob4JQbHPqKYeQYTJNnQCBAxdY3CQxw79v+0FQYtLY2TZqOrD6zJ4WySkXc4mCVoWXtJvyugbNZEwgGEwk5BiQ5aEnlaRva7x8CQU8JBAI0bSli9+3PU/jnDbgaLJgSNaz8+QTu/3AJUy/KQFac2ULhiWRMjOH6f81EqZFp2V7KwYffxmPpm3NLd1iO1FN9zG1l1S9yMSV0P4+JNHFZQftPR3V7RMZv2VFC2+5yFEqJFQ+e2RvCTkbauGjueGkel/x2EoY4NfbKVg4+9CaHf/chrmZhUyo4c/G0B6/lhrgze24oEAi6RwiGgj6hmzgagI7i8AuGPqeDjuLDOM1NIYmn0keh1Ay8z/+M6fewYN5PiFGdui/DaONscidcS3R0VsjG1mpjiIsLirzNRd1XV3RaONoO5+FuPXklpiY5DeOEyQCY3+++yhBAP3U8pmVzASj847qQ9hawHW3E1+FC0mlRZ6f1K5Zh7pSg5WpFKZ62k+8gVfRRMJQkibibL0ERE4Wjqo3SJzf3J118x/qMSLruBTh1VtCW11VX2+P4zrqgEKuLS+/X7uuseZcx+oJ7yMyY2+cYJ0OSZOzedmSVhuFLbyRzzkVIPaha9E5NI+Pmu4JiYWx8yPOy7N1JwOlGlZaEdsKpqx17ihwV3FDgbusISbxIIamCGygCnr4L5poRwWulu6kBnyP0C+BJ565CoTfgaKuj4dCmkMcPF8rRWShj4oiZMSfSqQwKoqfOQhkTh89sxfZZ6PoECwRDCZVWQVxG8B64o2JgnTYEgkjQtqeCffe8TMFv1mCvbEUfo+LcH47lwXVnMfvqHJQqsRzyXQyfFc8Nj81EY1RiPljNvh+8GvKefX63l8I/rcfvCzDxvDQmnB2aFiThJj7rWC/YCPQw9DncFP8jOOeee8OwrlwE30aWJaZfksn9a5Yw+5psJBkaPz/C3tVPUfWWsCkVnJl4zEHBUB8jBEOBQHBqxB2yoE9oJ4wCScLdUIfXYg7rWI0fvkPNi/+ltWRvSOOaR4SusqknKJUa1GoTstS9gKE+XBXy8dNSZwDQUryr2yoZXWwKybmLSb3iBlTRMac8tqvKcHdej6oMAWKvOh9VZiqedgdH/m8dAX9obLHa9wf/btoxw5Dk/l3elPExaMYOA8By8OTPPaUxaAPTW8EQQGE0EH9b0PKwds0BWnaU9CHTIN5jgmGnVeWpUHdWGNbX9NiSzFUfFBf18f0TYiVJIqMjHbXa1K84nQQCAQKBAOYRGuxjYxmx/BbGrfoBscMmn/I8l6UZW0NZV/WyNjUDVUzoe9YE/P6gHSnB6sJQWV0pooJ/P/cQrxDpqjD09N3uShFlRJmcAITelhRAYTCSeN7FGMZOQL14Rsjjh4u4BUsZdv9P0aT03wL3dEBSKrver8wfbcbvHNp2vgJBX0kaGXz/sAvBUHAaYzlSx4EfvcnBH7+FtagBtU7BWXeN4sH1Z7HglhGotIO3T95gYcScBG5/YS7RKVocVW3k3/8iloKebzbsjvLnv8Re0YIxXsPKn00IWdxwc6JgGKo5bE8pf/5LXI1WYtJ0LL178Nu3DgZ00SpW/iyXu18L2pS67T5Kn9jM3rteov1gz912BILTgU53IlFhKBAIukMIhoI+oTAZUB/rw9VRUhjWsXRZQdHG1hA6+8qmIzso+uhxGhoPhixmqOnoaKSpuSBk8RLix6JSGfDYLZiru68MzZi9ClPuFCTFqSfUXVWGgQDmDz7rUS6SWkXi3dcga5W0762k6vXQ9JRqP3BMMBwXmubvxmO2pNYDu08qrClMnYJh3yoldbmjMJ0TtKks/POGPleM+boEw+6FcFV6MkgSvg4bPlvPhE7XsQpDfXzfxAdHax0ee8/7PPYEr9dJXsGrlHj3d/1MH5+ONubUVbxOcxOFH/6boo3/xVEd3r50toKDeNpakA06DPOmhiyuIvqYJelQFwxVnZak/euPE05bUgDTpGmkXbO62w0Ug43+bpw43YiaPANVXAJ+awfWT7ZHOh2BICIkDj/Wx1AIhoLTkI6KFvJ/9T777n2F9n2VKFQyc6/P4cH1Z7Hs3tFojX231T8TSRkdxZ2vzCdtfBQdrW4O/eh1mr4o7ndcS0Et1W/uAuCiX+YOqWqX6FQtslIi4PHhaur9htG+Yi1qoOadPUDQvlWtP3mbE8G3SRsftCm9+NcT0ceo6Chv5sCDr3P49x/hbh3aji0CQU9xH6swFD0MBQJBd4iVJEGf0eUGbUntYbYl7RQMOxorQtY/ymluxFp3lPb28pDE645AIMDhI+9QVPwBXn/3vZPaPQ18tetvHD7yFn5/aBrNy7KSlOSgYNFc+FWPzjFV9GzXZG97GQKo0pKIueYiAMqe2Ur123t6XO32Xfi9PsyHgrsEtWP73r/wRPQzcpFUStzNjbhqv3sHYl97GJ5I7OXnospIwdPuoPDPG/v0d/B19jDsQYWhrFGjSk0EjguBpyLg9+NqCO4o1vVBMAz4fZRueom8t/6Ab3d+r8//LtraS9m56x80NeVRvfMDvK6eCWcdTVUcWfcvPHYzquiYsFQVdmIvO0r9e68CYDxrDrImdDfmnT0Mh7olqazutCTtp2A4MigYhqPCEIKVsZ3VodZsCXdHe1jGCQUdTZXUWg/0W4Q9HZEUCuLPOgcAy7ot+B3OCGckEAw8SSOC7x/CklRwOuFstFD4p/Xsuf05mrceRZJh2sUZ3P/hYi54eALG+IF1ljmdiErScutzcxmzKAmvy8/h33xA1Vsn30zZHT6XhyN/Wk/AD5MvTGfc0pQQZxxeFEq5y9p5oGxJAz4/RX/ZSMAPk85PY/TCpAEZ93RDliVmXJbF/R8uYdaVWUgSNH56mL2rn6L6nb0EfP5IpygQhJUuS1IhGAoEgm4QgqGgz2gnHetjWFJEwB++myt1YjKyVoff68beEhobFENCBgBW68DYUPj9Xurqd1Nds4MA3U+uopWJaGQ9Xq+Ttra+21R+k05bUnPVYdwd3VvJ+r1uWr/4jMr//oOA7+Ri7YlVhm1vrOtxPsZFM4L9DANQ8vgmjv7z0z7fqNuKG/E5PMgGHarM0Ew8ZZ0W3bSgRY7lwO7vPEZp6r9gKKlVJNx5NZJKQetXpdSt7X3lq7cXPQwBVMf6GDp7IBh6WpsJuN1IChXaqMRe59ZYsA1nWz2SrMBk7J+lqc/n4WjJOvbtfxqnqx21KY5R597Zo76k5uojFK7/N74OG5qUdDJu+V6X4BtqHBVl1LzyFAG3B+2kMcRctCyk8Y8LhvZ+Ce2RJmSCYWeFYXXlKa9V/cXvclH39iscevORHlVqDzQBv4+KrW9Q98YLNH/a82vxmYRp4jTUCUn4O+xYNm6NdDoCwYCTPCrojGAraRrS7x8CAQQXP0ue2MSem5+mfkM+AT+MW5rMfe8u4tL/nUxs2sD3rT8d0eiVXPuP6cy+OptAAEqf2Ezhnzf0STArf24bjqo2TIkaLvjJ+NAnOwDEZR4TDGvaB2S86nf2YjvaiC5Kxfk/Hpp/s8GEPlrNqv83kTtfmU/6hGhcNi8l//6cPXe/hDmv+7mxQDAU8bk8+J0eQFiSCgSC7hGCoaDPaIZnIum0+B12nDWh77nXiSTLIbcl1SdmAWC11YWsgu9UnDiGQurePkSSZJI1wcfc2JQXsjwMhiQSE8aTnLuoh73UJNq/2ISzqhxbwalFrITl54NCgfNgIY6DPbOplSSJ2OtXEXvV+SBB7QcHyPvFe3g7et9bqn1/JQCaEPQvPBHD3GBVpuXAHuzlpd/6veJYD0O/taNfQoU6M4WYy88FoOSJTbTu7N1zvfNvJmu7rzCEr/cx7A6/y4UmPRNDYlav/7Yeu4XavesBGJW9ApWq7ws3Vlsdu/f+m8qqL4AACaNnM/7iH2JMyu723OainRz9+GkCbjf6EaPJWH1P+MTC6gqqX/4PAZcb7YRRJN17PZIqtLZB8jHBMODx4evovmp5sNJlSdpPwVCVmois1xLwuLuqYcOBpFJBwA8+HyWfPU9HY3gtbXtLY8E2HK11yDo9cQuXRjqdQYkky8SftQIAy/qt+DqGtq2vQNBbEkcYUahkfB0unPWhtQoXCAYKn8NDxUs72HPTf6h+aw9et5+cGXHc+fI8rvvHDJJGhOce70xGoZS58GcTOO9H45AkaNiQz66bnibvF+/RtreiRxsQzHk11LwVtNW86JcT0UcPzUXr+OzOPoZtYR/LUWem6oXgBqdzfzROVMuGkIyJMdz5ynwu+uVEdNEqOkqb2H//axz54/oh3ydeIPgmnvZgdaFCJaMxCEtjgUBwaoRgKOgzkkKBbsJIADqKD4d1rOOC4bcFm76gMcWjUOsIBHzYOhpCEvNU+I/ZkEpIyNKpewJ2kqwN2mo2NRfg84VOEJiYez0Zs1ai0kd1e6ysVJE4bh4ArV9uOuVEUB2fSOychcFjX1nbYwFAkiSizltE4r3XI2uUtO4sY/8PXuvVjlWvzUXT5iIAtONCY0faiS53FMqURPwOO9XP/Iv2ndu+9nuF3gCSBIEAPkv/7CFNZ89HO2EUfpeXQz99h6OPfdbj3f+96WEIoD5WYeiqrep2DG16Jtl3PsDo8+/uUewTqdv3MX6PC6VSS2zsyF6f34nf72Pvoafp6GhAqTUyYvktZC+8EoW6e4HUUltMxRevg9+PafJ00q+7DUUPhdXe4mlvo+alJwk4XWjGDifx+zcgqUPfL0fWqJG0wUUWd/vQtSWV1aERDCVZRt1pS1oZun633zVOysVXox85hoDHTdGnT+OyDA5bP3dHO7X7g+J8wtkXBK9Ngu/EOGEy6uRUAg4n1vWiylBwZqFUySSNDG46sR1tjHA2AkHv8Ht81Ly/n69ufIry57bhsnlJHRvFjU/M5NZn55A5OTbSKZ7WSJLE/JuGc8vTcxi1IJFAAFq2l3Dwf95i372vYCtt+s7z/B4flsN15P/qAwIBmHpxBmOXnLrn+GAmPuuYYDgAFYZH//kpHoePYTPjmHZxRtjHO9OQFRIzr8ji/rVLmH5ZJgANG/PZt/q/1Ly3T9iUCk4bOu1IDXHqHhYPCASCMxkhGAr6hXbiMVvSojALhjnDAbDWlYTE/lSSJAzHqgwtlsp+x+ue4EstQKDHAlCcKhWdbMLrdVBa9kk4kzsliePmIalUuGqqsJcUnfLYuMVnozAY8dY3Yf5wU6/G0U/PJenhu1BEm+gob2bv916ipQdVdvbqNvZ9/xVsRxuRNUr0U0Nr0yIpFaT8/C4M86cB0Lrl0689ByVZRmkKiq++9v7t1JdkmcT7rse0YgFIUPPuPkr/s7lHz5nOG0DZ0LMKPs2wTCS1Ck9ba7fVo53YcmT8Xk+Pju1EkoOCkNfrZPvOR9n65e+x2Y73uXS5zFittbjdHXTYm2hsyqOs/FPy8l/lq13/wOfzYB6hwTpKT9yIqcRk5zL+0h8Rk53b8yRmj0SXM4LYhUtJufRaJGX4dtS1bN6I3+5EPSyDpPtvCmnfwm+ijA8uig2UHVI4UOiCf5+Ay93va7t2VA4AjrLQ2Th/F5JSSdpVN6NJz8Rv76Dk0+fweyNb5RkIBKj44nX8LhfajGyip82OaD6Dna9VGX6yDX+HI8IZCQQDS9q4aABsxeHfNCcQhIKAP0DjZ4fZtfrZoIDSZic2Q88Vf5zC3W8sYPSCJLEAOoAMnxXPTU/M4gdrFjP7mmzUOgXWwnr2f+9Fyl/4EktBLbUf7Kfw0Y3suftFtq76J/vuewVPux1jgobz/2do22rKyuBzLdxiUsvOMlp3lqFQSlz0y4niOR5GDLFqLvn1JO58eR5p46NwWr0c/ddn7P3eS5jzhU2pYOjjbg9WzRpE/0KBQNADhGAo6Bf6yeOAYJWS19J9T7y+ok3PIumCS8m88/vBaq4QYEjOAcBsDr9gqFLpur72Bnq2sCxJMuOjghV7VdXbsFhDd6MaddSJpbaI6l1ruz1WpTOROHoOAK2bNp5SvFJodSRdcCkA5jWf467p3UKUZlgGKb+6F/WILLw2F3k/e4fCP2+gfn0ettKmb03KWneXs+/el7FXtqKIjSLp4btQJoR+Z7HCaCD+pkuQdFq8lnYcFV+vdFVGB8f0NvfflkbWaoi75kLibr4MgOo391DxwpfdnuduDVaZKWJ6ZsEkG3REnbcIgKZ17+Gzd1+l5mqo49C7v6et/FCPxgDImL2KEctvwZQ6EqVGj9ttxZapxjxCg3mEhjLPIXbt+Rdbv/wdX+38K3n5r1BW/imNTYfo6KinMf64CJsxaxXDl92MSmc85Zh+n5fmwq8wp3mwZktIskz6jXeSePaFYZ1ou1tbsOzfBUDstSuRteG1DOrs1dlR8t27uYcCyqhjlZ6BAH57/0Qb7bGKd3tZcVj76gLIGg1pV9+CwmDE0VpLxba3ItoLrLlwB5aaIiSlkpRLrg6pLfPpinFsLuqkFAIOF5ZPtnV/gkBwGpE+ISgYWgvruzlSIIgsgUCA1p1l7L37RQ4/8hHOOjPGeA0rfz6BH6xZzOTz05FlIaJEisRhRlb+LJcHPlrCuKXJ+LwBKl7Yzr7vv0rxPz6lft0hbMWNBDw+tFFKhs+O57q/T0cXFXr3jYGktSq48K5LjQ7bGH6vj9InNgEw9/phJOScev4jCA2Zk2O569UFrPx5LtooJbaSJvb/4DWO/EnYlAqGNp624HqPsDUWCAQ9QRgXC/qFIsaEengm7tIqbEUFxMyYG5ZxJIWCmNkLgl93hGZR1piUg0KtQ1aEf8Iiy0oUshqf343H70Il9+xNOlGTTYpmJK2BRrze0FVAuN1Wirf8FwJ+4oZNQZ9wanuT5Iln0VS4HUdlGY7yEvTDTm4taZwwGcOYCXQU5tP67Nsk//SuXi1eK2OjSXn4DlpfXoNt01fUr8+jfn2wj6OsUWIYnohpdDKyRkn1W3vAH0AzMouEe69HGdO9zWpfkdQqDDMnYtuyC8uBPV/7G6iiY3BWga+1PWTjmRbPJOB20/byGipe3IGsVpJ1zcmrhroEw+ie92yJOn8xHTsP4q1rov6910m75pZTCmrm3dvxWsyUbnqREUtvJiar+93BkiwTk51LTHYuHocVS3UhalPc145Rao14nTZkpRptTDK62GS0sSnoYlLQnHCsrDj1W1YgEMBckUf1rrW4LM3EeGq7BGw5jFWFnbRu/hh8frS5o9GO6r6vYn9RZ6Zi33EAW9nQFQxlpQKFXo3P7sZvtaMw9t1GU52TfqyvrhNnbRW6jPD+D1TRMaReeSPVzz9Ba8lekics6vZaGg58bifVez4EIGH5BagTh67F10AiyTJxi8+m/s0XsW7YStTZC5D14bEqFggGG+m5MQBYixoIBAKiakUwKLEcrqP0qS8wH6gCQGNUsvCW4cy7YRhqvVjGGEyYErVc+/fp5G2oY8NfjuB1+UkbH0XquGjSxkWRNj6amDTdaXOt6RQMtWkxYRujbu1B7JWt6GPVLLmz720dBL1HVkjMvjqb3HNS2Pi3Qva8U0XDhnzMXxaScdMi0lZORlKIzXmCoUXnepExQQiGAoGge8SdtqDf6KeMw11aRUdh+ATDcGBKHcnk63+DJMlQ4gr7eEqVDp/LjSfgBHoubI2PWoh3TCZKZegWMjWaKJITc2loPEhjwRfkLLrmlMerDdEkjJpF0+Evadn08SkFQ0mSSLrwMsorjuI6Wonts68wLe/d80JSKYm/+RL008bjLDiKq7wGd3kNfqcL6+E6rIfruo41LJxO/I2XIKnCfzkzzJuKbcsubPkH8F9wKbIqKDZ3VRi2tId0vKiz5xNwe2h/cz1lT29F1qrIuGRa1+99Dg+WI3WY82pwNgQr8XpaYQjBPniJd11D3W8fo+NIHuZdXxIza/5Jj08872J89g6sh/ZR+tlzZMxaFbSslXo2YVLpTMSPmvG1n6VOXkbq5GX4fV4kWe5xrG9ib66m6qsPsNUH7SgVBmOwR9kALYS6W5qwHNgNQMwly8M+HgQFQxjaFYYAqmgdPrsbn60DFYl9jiPJMtrxI3DsycdRWhx2wRBAP2wkSRdciiouAd+ITKgY+CpDhVpLxk13Yd69nZhjfWQFPcM0YTKtmzbibmrA8vFWYi4amNeuQBBpkkebUKhkvFYnzjozujAuegsEvaWjooXyZ7fSvPUoAEq1zOxrsll8+0j0McJKbbAiSRITz01j4rlpkU4l7ByvMIwJS3x3u52aF78AYNk9o9GahnZF5lDFEKfhkt9MYvqlmaz5XR51hy0c/ddn1K87xMj7lhGdmx7pFAWCHtNZIWuMF++jAoGge4RgKOg3usljaX9nI/ayIvweT5eIEmoCPh/mfTupKy1m5PSrkJX9e6MbaMu2aVNuR6FQYzja0qvz1LIWdXET7nGZIc0nI2M+DY0HaS3ZR/rMC1HpTi00pUxailNhJ25R9wuqqugYEpddQOOH79D21np0U8ehjI/pdY66SWPQTRoDQMDvx9vYgru8BldZNd76ZnRTx2FcPGvAdqtqRuegiIvG12qmo6gA04TJAKhiwiMYAkRfsISA24P5/U8peexzPG12fE4PlrwarEcbwX9coFDo1SjiYnoVX52dRuwV59H26lqaNryPLns4muTU7zxWkmVSLr2WgN+PLf8AVdvfpa10P9kLrkQbk9Sfh9lt9eDJcHe0U7N7Ha0leyAQQFIqiZ23hLiFS5E1A1ct1Lr5Y/D70U0ag2ZE1oCMqTomGNqr2/C5PCg0Q3MxQRWtw1lnxm/rv82PbvxIHHvy6Sgp7tG1KhTEzJz3te99HhcK1cDt3LRmS2jJRJse2veIMwFJlolfcg51b76IZf1WopbPRzbouj9RIBjiKFUyKWNM1OSZsRY1CMFQMChwNlqoeGE7DRvzCPhBkmHqqgyW3jOamFRxbRYMDgKBAG3VxwTDtNBbkgZ8fg4/8iEOs4fkUSZmXC7u7yJN1pRY7n5tAbverOTjfxwJ2pTe/xrJ50xg+O0LUcf23SFFIBgoPF2CoagwFAgE3SPq6AX9RpWViiI2ioDbg6P8aPgGkmVaN32MNW8/tvqykIb2+XrWV7A/6HRxqNXGPldQ+f1e6hsOYLXVdX9wD4iOyiTKlEnA76PpyPZuj1cbYxk9+wY0KT3bNRo9cx7azBwCThetL7zX7/5ekiyjSknEMGcKcddcSNIDN2NaMntArW0kWcYwdyoAlgN7un7eWWHoC4NgCBB98XKizg32G6x85Stq3tmLtagB/AEUcdHo50wm7vqLSPnNA8jq3otGprPnoZ04moDHS92bL+L3nPz1ICkUpF5xA0kXXIqk1mBrKKPg/Uext9T2+fH1h4rijbQe3Q2BAKZJ08j5/k9IWH5+2MXCgN+Pq7Ee854d1L/3etfzIfrigatQUsSYkE0G8AewV7QO2LihRhUVXAT0W7vvo9kdnX0MHVWl+N3hv65/k2Z9Iwff/C31hz4n4PeFdSynuYlmbWjeD85kjBMmo05MJuBwYtm4NdLpCAQDRlcfwyLRx1AQWTxmByVPbmLPzU9Tvz4oFo5flsx97y7i0v+dLMRCwaDC3ubG1eFFkkCbEnrBsPyF7bTvrUSlU3Dln6aiUIolu8FAp03pA2uXMP3SoIjbsDGffaufovrdvQR84e2fLhD0F3d7UDA0CMFQIBD0AFFhKOg3kiShmzQW2+addBQdxjBqXNjG0Y8YjWXfTiy1RURljOl3TFtDGWWbXkYjGZg5/XshyDJ8lOx6nSpHPinJUxk/7oqQxMzImEfB4ddpOvwlKZOW9qrKK+DzISkUJ/29JMskX3QlFY8/iuPAEey7DmGYNSkUaUcUw7ypWD7cREfxYXz2DhR6A6qYGCA8FYYQfO7HXHUeKBU484vRDM9EMyobzaicPlVufiu+LJNw2xXU/uLvuBvradqwhuQLLzvl8TGzF2AYM56GD94k4PXinZIKVf1O5ZQ4Lc20Fu/GmDoCae5oAOJjV+Btbydh+Xlo08NT2RcIBPBa2nHV1+GsqcRZVY6zuhK/y/m14/SzJqEZPnC7gCVJQp2RgvNwCbaSRkyjh2bvuk7B0BeCCkNlckJXFbCjsgzDyP6/T/QG8+4d+B0OanaupaVoF1lzL8WUFvq+Mz63k7JNL+NoqyXl8uu7qp0FvUeSZeLPWkHdGy9g2bgV0znzURj0kU5LIAg76RNigEqshQ2RTkVwhuJzuKl+ey91b32Fy+YFIGdGHCseGEvm5NgIZycQfDeddqTqBCOyOrTLaS1flVL58g4ALv7VRJJH9rzVhGBg6LQpnXFZ0Ka0tsBCyWOfU78uj5H3LSVm4sD3MxcIeoK77VgPQyEYCgSCHiAEQ0FI0E0ec0wwLCBw/iVhq/rqEgxrikIST6WPxm1rwy2Z8fncKBTh8/Nuai6gre0oic4YkrXDen1+um4MVY58GhsPMWrkBahU/V/QTErM5WjJOtwOC22l+7/VX+670B6xUF64DndjA5m33XfK/7UmKYX4Rctp+XwDrS99gHbscBRRxn7nHUnU6cmoslLxVNZhzT9AzMx5XRWGfmsHfpcbWRP655EkScRevgIuXxHy2ACKaBMJt19J46PPYN65DcPIMRjH5p7yHFVMHOk33IHf5UKSZazZ4Hc56fhoE7E5k9DGpvTrWhAI+HG2N2KrL6Xl6B46GssBMLobSDsmGKqiYsi46c4+j/FN/C4XrvoaXA11uBrqcDfU4Wqsw+90futYSa1CPTwTzcgsNCOyuuxzBxJVVirOwyV0lA7dPobK6NBVGEqShHb8SDq27sFeWjTggmHiipVoklNp3rgGZ3sDReseJ3b4VDJnr0Kl73nv2lNhqS2iYssbuDvakLU6tJnh79V4umMcPwl1UgruxnqsG7YSc+k5kU5JIAg76bnByhhbcQMBfwBJHjjHBsGZjd/jo+7Dg1S8tAPPsYqH1LFRnH3/GEbNTxxQ9xCBoLe0HBMMtSHuX+isN1Pyf2sBmH1NNpMvEP3xBjOZk2O569UF7H6rko//XkhHaRMHHnidpOXjGH77IjTxQ3vNQ3D64RE9DAUCQS8QgqEgJGjHjwSlAk9bK+7mRjSJ4al00Q8fBYCjtRaPw9pt373uUBtjUemj8NgtWKw1xMb0XsjrKWZzBdU1O1DqJ/dJMIxWJmFSJmD1NlNXv5eszAX9zkmWFWSkz6G27UCvem5ZD+0j4HZjKzjYbWVL7MJlWPP2425qoOnfr5D80K1IypNXJg4FjHOn0lZZh/XAHmJmzkPW6pA1GvwuF76WduS0/vXzixS6iaMxrViAdcNW6j94jeyUB1HFxJ3yHEmSUGiP2382f/IR7fu2UrdvIypDDNEZYzEkZWNMykYTndgjS95AIEDJx09jrS/D7zlBqJMk9CPGYJo4tc+P8WTjOUqLad+5DVvxYfB6v32QImiJq85OQzMyG82ILFQZyaessh0I1Mf6GNpKmyOaR39QRYeuwhA4LhiWFIckXm+QZJnoabMwjsul+ZOPMO/eTlvpPsw1BaROPpvkCYv73D/X6+ygZs86mo9ZSKti40m57DpUUTEhfARnJl1Vhq8/j2XjNkznLEBhFFWGgtObxOFGVFoZj92No7oVfVZ8pFMSnOYE/AEaPz9C+bNbcdZbAIjL1LP8vjHknpuKLERrwRCgs8JQlxo6O1K/x0f+b9bgsHjImBjDeT8Kj2OTILTIColZV2Uz4ZxUPv77Efa8XUXjJ4cxby8m44YFpF08BXmIr3sITg/8Xh8eswMQFYYCgaBnCMFQEBJkrQbt2BE484roOJwXNsFQaTShTk7F3VCHtbaYuBHT+hVPkiSMycNoKztAa2txWAVDtTq4y6zD29an8yVJIlM3ngLrFuob9oVEMATIylxAzFnn9Hg3r0pnInn8Iur3f0Lzxx9iHDMBSXnyS4msVJJ61U1UPvU3XEdKaX9rA7FXnx+S3COFZkzweeKsrwGOWUMmJuOsrqT56bdIevDmIWtpF3v5ubiOlOKuqKXqmcdIv/52NEkpPT5fP2I0nrZW7KVFeDraaS7cQXNh0FpHodaBJKHWRxMI+IMffj8E/GijE0m5865jUSScfht+jxNJpUabloFhzHiiJk1HGRW6yXnA58NWcJDWrZ/jqqvu+rkiNgp1ZiqqjBRUGSmoM1NQpSae8nkeKToFw47SJgKBwJDcla/urDA0W0MSTzc+aAHqqq/Ba7OiNA68nZNCpyd55eVET59N45q3cdZUdtmUps84n5jsU1fvfpOW4l1U7nofvyM40YueNZ/Esy9E1ogJX6gwjpvYdX9hWb+F2MvPjXRKAkFYUShlUsdFU7mvDcuReiEYCsJGIBCgbXcFpU9toaMk6IhgTNCw9O5RTL80E4VK9GgTDA06Wl3sfqsSAH1OQsjiNm0pwlbUgC5axdV/mYZSLUSmoYQhVs3Fv5rEjMuyWPO7PGryzJQ8sYn6DXmM/P4yYVMqiDie9uAcUpJBHyMqDAUCQfcMvtVPwZBFP208zrwibIcPEbdoWdjGMYwah7uhDnNVQb8FQ4DorAm0lR2gqSmP4cPODtuCe3zcaI6WrKPZU4PH70Il936hN0U7nALrF9hsdTgcreh0p67+6gmyrCSm1I15RM/zSZl4Fs2FX+Fpbab9q63Ezl9yyuM1SSmkXHRNsHpj/RbUIzIxzJzYz8wjh7OgBABd1nGBOemCy6h+6UncJZU0/OE/JD90K4roodd3QlIpSfz+jTT88Sm8Dc1UPPEo8YvPIW7B0h5V0xnH5mIcm4vf7cZedhRHRQnOqgqctVX4Az4CHg8O17crydx2M0luF7I6+DxMOvdiJLUaTVJKyKv4/G43lv27aNu2CU9bS/Bxq1UYF87AuGQWqozeW6l219MzXKjSk0ChwGt14mq0ok0Oje3lQKJJCebsbe7bZopvoogxddkG248WEjWle6vlcKFNyyTz9u9jPbiHpg1Bm9JmcyExdC8YBvz+rmpEZ5ICv8OBOjmVpPMvQT8s9H0Rz3QkWSZh6XnUvvoM1o3biDpnwZC30BYIuiNrcmxQMMyvJeWcCZFOR3AaYjlcR9nTX9C+P9joWmNUsnD1CObdMAy1TogigqGD3xfgjf/Zj6XBiS4jltTzQzeXbdiYD8Cca3OISdWFLK5gYMmYGMOdr8xn77tVbPzrETrKmjnwwOsknz2e4XcsQh1riHSKgjOUE/sXyoqht8FYIBAMPEIwFIQM3bTx8OL7OGsq8ZjbUUXHhGUcw+jxtG37HJ/HHZJ4MVkTkBRK7I5mbB31mIypIYn7TQyGZPT6ROz2JppcFaTpRvc6hlrWEadKpdVTS1NzQciqDAH8Xg8txbswpo5AF3PqClGFWkv69POo2PoGLZs3EjVlBgrDqRdWTRMm45y3hLYvN9Hy9FuoM4JVW0MR+97gpM447vhEUZueSebN91D9/BN4quqpf+RJkv/nNpTxMRHKsu8o42NI+emdtDz9Fo6DhbR8ug5b/gGSL74abVrPdkjKajXGMeMxjhkPBAU1T1sLnvY2kKSgECLJwc/yse/l4wtHuuzQVvsG/H4c5SVYDuzBVnAAv8sVzNOox7R8HqZlc1GYej+JC/h8WD7cjHnNZ2hGZhN73UrUGT2vyOwvklKJKi0JT1UdtqONQ1Iw1B3rAeNtag1ZlaRu0lg8lXV0FB+OqGAIQSEqaspMDGNyaftyE9Ez52KNCj5G1YF6vC47xuRhuDvasdaVYKsvxVpfgnb0KJJXXg6AKTANSaHEOG5iny1NBd1jGDsBTXomrpoqzGs/J+7alZFOSSAIK1lTY+E5MOfXRDoVwWmGvbKFsme20bw1aA+uUMnMvjqbxXeMxBArqhsEQwuv28d7vzxEyY5mVDoFE361CqUhNC4PzgYL7XsrAJh6kahEG+rIssSMy7IYvyyFj/9eyO63Kmn4uADzjiIyblpE2srJSApxLy8YWNwtQcHQlCjcaQQCQc8QgqEgZChjotCMzMJVXIHtyCFiZy8Myzi6zGxG/Pg3KPQGqAj0O55CrSU6YxztFYdobDwUNsEQICkxl/KKz6l2HiFVO6pPC+PJ2uG0emrp6GgMaW5169+gvmEv8aNmkrPo6m6Pjx81k8aCrThaa2n+fAPJF17W7TkJZ1+As6YSR0UpTf96iZT/dw+yZmgtGnhbzbhLq0CSMI79epWQJjmVzFvvpfr5J/A2NFP/u8dJ/p/bUaWEzrJmoFBEm0h84GY6tu+n7ZU1uOprqfzP34idt4T4s85BVvXu/yYpFKgTklAnDGx/R1dTA9b9u7Ec3IvXfLyCTZkYh2nFAowLZ/T5OeiurqflqTdxlwcXWp2HS6j7f//AtGwuMRcvRzYMzA5hdXZal2CYMH/oVZ5pkkwgSwQ8XnxmK8qY/oueukljsKz9nI6jhV+r1IskCp2OhGXnfe1n5fkf0nEkv6uX7okEyo/nLElSt/1iBf1HkiQSlp1PzQtPYv3sK6LOXYQyLnQ2yALBYCNrSiwA9vIWPFYnKpO2mzMEglPjarJS/sJ2GjYcIuAHSYIpqzJYes8oYtOGpl2/4Mymo83NKz/YTcXeNmSFxMgfnochhHakDR8XEAjAsFnxxGWI18jpgj5GzUW/nMj0SzP54Ld51BaYOfqvz6hbd4hR9y0jOjc90ikKziDcrTZA9C8UCAQ9J/IraILTCv20oJ2RreBQ2MaQFIqgWBhC4kfPInHcPBITwttgPCV5GpKkoNVdQ52zuE8x0rSjmTvnR4wbe2lIc0tPnw1Aa8le3B3mbo+XZJnM2RcBYMs/gN/l7P4chYLUK29EYTThqWmg5dm3CQT6L/oOJJ3VhdqMbJSmbwsb6vhEMm+9D1VCEr5WM02PvRTs0zcEkSQJ47yppD3yIPpZk8Dvp23rZ1T8+1Hs5aWRTu87Cfh8OKrKadn0MRVP/IWKf/4frV98itfchqTTYlw8i+Sf3Ena/z1E1PJ5fRILAz4f5rWfU/erf+Iur0E26Ei68DKM44N/I+vH26h5+M/YtuwakP+9Oiu4ycFWEtpNBAOFrFSgSQza93qbQmNLqhmRiazX4nfYcVZXhiRmqAn4fCgNJpDloFgoSWjSMomdt4S0a1eTeeu9kU7xjEQ/YjS67OHg9WL+4LNIpyMQhBVjvIb47OA9taWgNsLZCIYyHouDkv9sZvfNT1G/LigWjj0rmXvfWcRlv5ssxELBkKSxxMoT12yjYm8bGqOSCb+7lKQlY0IWPxAIUH/MjnTaxaK68HQkY2IMd706n5U/z0UXpaKjpIn997/Gkf9b12UTKRCEG3drsCWMKVFsDBMIBD1DVBgKQopu+gTaXv8IR0Upvg5btzaV/cXndqBQ97+KJyZrPDFZ4wkAlLj6He9k6PXx5GSfRWNTHupRY6G692KCStYQXWbDPS42pLlFR2USHZ2D2VxOY/4WMmZ1b8VmShtJ9oIrUS6chKzp2c2H0hRF6pU3Uf3cv7HvOIB1ZDZRy+f1N/0Bw7Hn23ak30QVHUPmLd+j/LE/4Kmqp2PbXowLI2uL2B8UUUYSv3ct9jmTaX3hPTwtTVQ/8y80qekYx0/CNH4S6sRT29iGi0AggKe5kY7SIuwlxTjKjn5dvFbI6HJHY5g/Df2UcUhqVb/Gc9c0BKsKy6qBoEVy8kVXojRFETNrPh0lRTR9+A7u5kZannkb66adxF2/Cs3wzH6NeyrU2WkA2I4OTcEQQJsSjavBgrepFUZl9zuepFCgzR2NfedBOooPo8vK6X+SIUZSKEi+6EriFi3H096KNi2jx9dRQfiQJIn4ZedT/cy/sH2xi6jzF6FKio90WgJB2MiaGktLRQeW/FriZw+PdDqCIYbP4aH6nT3Uv/UVTqsXgOzpcay4fwxZU/vfa10giBRHv2zitR/uxWn1ok2JJvd3l2DIDu39gPlQDc7adjQGJROWD1xLA8HAIiskZl+dTe45KWz8eyF73q6i4eMC2rcXkXHTQtJXTRE2pYKw0lVhmCAqDAUCQc8QgqEgpKiS4lFlpeKprMNWWED0tFlhGSfg81H93OM4qsqZeMVPURtDK56Fk+ysxWRnLUKWlUBVv2L5fB4Uiv4JICeSnbmIg+Zymo7sIHXK8h6JsQljZmPV9c5aVZ8znMRzVtK0/n3aXv0QTU46mpH9FwnCjc/WgbOwDADj+FM3uleaoohbsJzmjWtpf2cj+tmTkfspVkUa/bQJaMcMp+2Nddi27MJVV4OrroaWT9ehTkzGOH4SxvGT0KSkhaQP3TcJBAJ421tx1tXgqq8NftRW4bV8vSJWNujQjh2OdsIo9DNyUUSFZuOCZeNW2t5YD14vkk5L8nmXYJo842uP1TBiNPrvPUTbV1tp2bwBd2kV9b95jPg7rsI4b2pI8vgm6sygYOhqtOKxOFBFDYwVaijRpUZjPlAVFAxDFXPiccHwm1aggwlVbByqWLGoOpjQ5wxHP3IM9qOFtDz1Jkn334ysF2Ku4PQka0os+96rxpwn+hgKeo7f46Puo4NUvLQDT1uwciFltImzfzCG0YuSwnIfKBAMFF+9VsGHv8/H7wsQlZvOhF+tQh0T+irZ+g15AOSuSEWtF0tzpzuGOA2X/HoSMy7LZM3/5lNbYKbksc+pX5fHyPuWEjNRVJkKwsPxCkMhGAoEgp4h7koEIUc/PRdzZR22goNhEwwlhSJo9ef3Y646TOK4/leoBQJ+bA3lNJfmM3zY2WGb6Mqyoutr97hMFAVlKKTevRR9AS8HDj5Pu7mMeXN+jEoVGoEgPn40en0idnsTTUe2kzJpaY/OM1UEsGRBR9FhDCPHICkU3Z4TM3cRjuoKbHn7afrXyyQ/fMeg7/Xn2H8E/H7Uyamo47rPNWb2Qtp3bsPb1oZ141aiLzxrALIML7JBR/wtlxJz+Qrsewuw78nDmX8Ud1MDrZs/pnXzxyijolHFJ6KKjT/2ERf8HBePQm846WsrEAjgd9jxWi1dHz6rGY/FjLuhDldDLX7nd1jfKpVoR+egHT8S7YSRqLPTQt6zzlVaRdsrawEwjBpH0kVXoIqK+c5jJaWSuPlLiJo0jcZ172HL20/76x+hnz4hLD07Zb0WZWIc3qZWbKVNxE7JCvkY4UabEuwTF1rBMGgZ5aqtxmu1fKeFsEBwMhJXrKSyphxXUTn1v3+S5B+uRhFjinRaAkHIyZ4a3HRnLazH7/UhK7u/hxOcuQR8fho/P0L5c1/irA9u2IrN0LP8vtFMPC8NWRZCoWDo4rZ72fi3Qna8Ug5A8tnjGf3A2cjq0C+beSwO2rYcAYQd6ZlG5qRY7np1PrvfruTjvxfSUdrEgQdeJ2npWIbfsQhNgrjfFISWzgpDk6gwFAgEPUQIhoKQo5+Ri/ndj+koLcTvcobNYs0wejzOqvLQCYY+L0c3/Be/101iwjiiosJnIQjg9/uoqNxMXfNXzIu/HLXc87+TQlLisjTh87lpbjlCakpoKpckSSYrcxFHCt+mMf8LkiYsQlb07DLR/NwLtJUdIGHFKuLmL+nBWBIpF11JZWM97sZ6Gv7wJEk/ug11emSsLXuCvQd2pCciq1QkLDuf+rdfxrx2E8ZFM0NW7RZpFCYDpsUzMS2eib/Dgf3AEey7D+E8VITXYsZrMeMoO/rdJ8tyUNDr/CwFP/udDgI+36kHVipQpyejykpFnZWGOjMV9fDMsFdv2ncG+7Iax08i9aqberShQGmKIvXSaymrrsTb3or10+1En784LPmps1KDguHRxqEpGKaGXjBUxJhQD8vAXVaN7fAhYmbND1lswemPJjmNzJvvpebF/+CpqqP+d4+T9KNbhT2p4LQjYZgRXZQKh8WD7WgTUWOFLZ7g2wQCAVq+PEr5s1/SUd4MBK3NzrprFNMvy0SpEnZ6gqFLW42dXW9UsuvNShwWDwDDVi8g85pZYdtEXPXGbtwOHyljosiaOnTckgShQVZIzLoym9xzUoM2pW9V0vjZEdq3F5N+3TwyLpuOrBIbeAShoavCUAiGAoGghwjBUBByVGlJKJMT8DY0Yys6TNTE8NjwGceMo+XTj7DUF+P3upGV/avckZVqorPG01a6n4bGQ2EXDAMBPw2NB3D6rZR17GOMaW6vzk/WDMPmbaWpOT9kgiFASvJkyso+RpuQic/tQNb1bIdbVPoY2soO0PLZeozjcntUgSdrtGTcfDfVzz+Bu6GOhj/8h+SHbu3qyTaYcBwsxHGwEABTN3akJ2KaOJW2Lzfjqqum8W/Pk3jf9Shjo8OVZkSQDTqM86ZinDcVv9OFu6oOb1Mb3qYWvI2teJuCH742S/AEvz9YIQzBvqHfjGfUo4iJQhFj6vqsSk1CnZWGKjURaQCrHwJ+P7bPv8L62XYg+P/szcKBpFQSf9YKGt59FcuHmzAumB4W0ViVlQZ78ukoaQp57IFA1ykYNraENK5h1iTcZdVYD+0TgqGg12hT08m87T5qnn8ST1ML9f/7OMk/uhV1ZmqkUxMIQoYsS2RNiaVwSyOWvBohGAq+RfvBakr/uwXr4ToAtCYlC1ePYO51OcJGUTBkcZg95G2sY//aGir2HN+wpk2NZsRdi0mYPypsYwd8fmrf3wfAsntHCwvfMxh9jJqLfzmRmZdnsfaRPKoOtFP21Bc0bMxn1PeXEzMlvGtSgtOfQCCAu7UDAGOCaLEgEAh6hrjDF4QcSZLQz5yIZe3nWA/tC5tgqE5OQxkTh7e9FXPVYWKHTe53zLhhU2gr3U9j0yFGjjgXSQrfblmFQsXwYWeTl/8Kdc4SRhvn9GqykKwZRknHHlpbi0Pay1CWlcya+QPsY2N6dV786Fm0luzFWneUhvdeJ+Pmu3tkC6k0msi85XtUv/AkrtpqGv7vPyQ9dCua4YPn5ti+r4Cmx14Gnw/j+Emok3suaEqyTPJFV1D94pPBfna/+heJ910/JHo29gVZq0E7KgdG5XzrdwG3B7/DScAfOC4a+oLWwgGfH1mnQRFtQlINjrcmb3MbLc+8jbMgWCmpHzEG45gJvY4TNXk67ds346qvpe31j0i4/cpQp9pV9eRstIY89kCgzwr28PO1WfB3OJANobFZ1s+aRNvrH+GoLMNrMaOMOr3EekH4UcclkHnbfVS/8GRwY8vvnyTpwdVoRg69Sl6B4GTkzIijcEsj7QeqyLh8eqTTEQwSbKVNlD29ldavSgFQ6RTMuz6HBTePQBc9tPtyC848Otrc1OS3U5NvpvpAO0e3N+PzBDcwShJET8ki/eIpxM8ZgaQIb8Wsz+nB5whWMo6cN7hbcggGhvQJ0dz+4jz2r6lhw6OH6ahs5cBDb5C8fDzD71yMOjb0PTQFZwa+Dhd+txcQPQwFAkHPEd4hgrBgmBMU7zqOHsbncIRlDEmSMOUGx2krOxCSmFEZY5FVWlwuM2ZzZUhinor4uNHIsgqn34rF29yrc03KBLSyAb/fQ1t7SUjzUql0RJe4enWOJElkL7wSSa3GUV6CedeXPT5XoTeQcfPdaDNz8NudNPzxKZyFZb1NOyw4C0uDYqHXh3HCZFIvv77Xu0C1aZlk3f4A6qQUfGYr9X/4D9bNu8KU8eBFUqtQRJtQxkahjI9BlRiHKiUBVVoS6swUlAmxg0IsDAQCWDfvovbnf8NZcBRJrSLx/EtIv+F2JGXv85NkmaSVV4Ak0bFtL87DoX29Aihig/353M22kMceCJRGLZqkYDWzu7o+dHHjY4LifCCANT807xOCMw+lKYrM1fccf4/601M48osjnZZAEDKGzQxuOmk/WE3A549wNoJI42ywcOSP69l75wu0flUatM67KosH1y3h7B+MFWKhYNDitntprbZTdbCNw583sOXpEl59cA9/Puczfr/wY164axef/rOIwi2N+Dx+DMMTGX77Ima/cgeT/3QFCfNHhV0sBPC7j7dgUKrFkpwgiCxLTLsog/vXLGHWlVlIEjR8UsC+W/9Lzfv7xfuzoE+4WoLVhVqTEpVW2NwKBIKeEfmVWcFpiTojBVV6Mp6aBmyHDxI9bXZYxjHlTqFt6+e0Vxfg87hQqPq3Y0ZWqojJnkDr0T00Nh0kJiYnNImeBIVCTXz8GJqa8mhwlhCtSuzxuZIkkaTJodKRT3PzYRLix4Y8P3dHO435W0mbtgJZ2f3igMYUT8b0C6ja/i5NH69FP2oc6rie9XtSaHVk3HgnNa88g6OsmMZHnyHxBzeimxA+O5ju8NQ10fSPF4Ni4biJQbFQ0bebLHVcPFm3/4D6d1/FVnCQ1mffxtvQTMwV5wobmkGEt81C67Nvd9nPajNzSLn0GtTxPX9tfhe6zGyiZ8zFvOtLWp5/j7Tf/iCk4minYOhqsRIIBIbkc8owPBFXoxVPVT3aMcNCFlc/exKuoxVY8/YTO3dRyOIKziwUOj0ZN91J7avPYS8ppPGvz5H4vWvRT+t91bFAMNhIHReFxqjEZXNhK2nCNHrw9pMWhA93m53KV3ZQv/ZAV+VV7opUlt83moSc06MHt2Do0VLZQU2eGYfFg9PmwWX14rR6cNqCn+1mDx2tLmwtbjyOU/dC12XEYhqdjGl0CjHTsjAO79/9fV/prPZRquUhec8uCC+6aBWr/t9Epl6cwQe/zaPusIWj//yU+vWHGPX95USNE9b4gp7jbgsKhqJ/oUAg6A1CMBSEDcPsybS/sxHrwX1hEww1qRlETZ2JLntEyOxD44ZPDQqGjXmMGnlhWG1JAZISJtDUlEe9q5RRxtm9mjQkaYYFBcOWIwQC/pDmGgj4Ofr+v3E4WlAbY0gav6BH5yWOm0db2UFs9SU0fvAG6Tfd1ePHJGs0pF9/K7WvPYe9+AiNf32exO9dE5EFWZ/FRuNfnsXf4UCbkU3K5df1WSzsRNZoSL3yRlq3fELLZ+uxfLSZgMdL7LUXisniIMDTGOxR5rfYQKkkYel5xM5b3CNr3Z6QsPwCbAUH8dY3YV63mZhVy0ISF0BxrC+m3+nF1+FCaRx6/QmMwxNp3VGKu6oupHH1MybS9spanFXleNrbUMXEhjS+4MxBVmtIu+5W6t96CVvBQZr+9TIJd1zV5aogEAxVFEqZnOlxFG5upH1/pRAMzzC8NhdVb+6m/p1duI8JLsNnx3PO/WPJmBgT2eQEZxxet4/yPW0UbWmk6ItGmss7enW+rFaiitWjjtGjTY7CNCYF45hkTCOTURoHx4J5l2CoEdWFgpOTOSmWu19bwM43KvjkH4XYihvZd98rpJw3keG3LUAVLWxKBd3jbunsXzg4rn8CgWBoIARDQdjQzwkKhvayYrw2K0qjKeRjSJJEyiXXACBXBEIS05Q2CoVaR0ClxOlsR6eLC0nckxEfPxZZUmL3mbH5WjEpe1aRBxCnTiNRnUVM5sSQC4aSJJOVsYDC4vepP/ApCaNn96jKUJJkchZeSfEXLxB/1opeC2GySk3aNaupf/NFbIcP0fSPFzEtm0vMlecha9R9fTi9wu/20Pj3F/A2taKKjSPt2tXIqtCMLcky8UvOQWEw0rjmLawfbyPg9RJ3w0UhE6YEvcdnsdH46DP4LTbUSSmkXnkjmqSUkI6h0OlIPO8i6t96GfMHn2OYPRlVcmj6lshqFbJBh7/DgavJNiQFQ8Ow4N8ilJakAMrYKDSjc3AVlmHN20/cgrNCGl9wZiErlaRecQMN77+OZf9ump98jYDHg3HhjEinJhD0i+Gz4o8JhlVkXjkz0ukIBgCfy0Pte/upe2M7DnOwn1p6bjRn/2AsI+eKvmqCgcPr9rF/TQ2Fmxsp2dGM2368UlBWShjHpKKO1aM0aFAYNCg7P4walCYNqhg96lgDqhg9Cp1q0G/EPC4YCntAwamRFRJzrskh95xUNvz1CPveq6Z+3SHMXx4h45YlpJ4/EUke3M93QWRxtx6rMEwceusDAoEgcgjBUBA2VEnxqIdl4C6rxpq/n9jZC8M6njVbwhQC0VBWKBl30QOoTbHoSj0hyOzUKJUaUlNnoFCoUTp6J0rJkoLpsRfgzswMS26pqdMpr9yMy95O05HtJOf2zM5PE5XAhPMfwJbdNwFMVipJvfJGmta/T/tXW7F+uh1HXjEJt1+JZmRWn2L2lIDfT8t/XsddUols0JF+/e1hEbtjZs5DUihpeP91bJ9/RcDrJf6Wy4RoGAH8TheNf30Ob0MLypg4Mm66C6UpKixjmSZOw7J3F/bSIlpffJ+kH64O2aKGIjY6KBg227rEt6GE4ZgtlKemnoDfH9LXgmHWpKBgmC8EQ0H/kRQKki++GkmlDtoMP/0WAZcH0/K5kU5NIOgzw2YFN6yZ82oI+PwD0sdLEBn8Hh/1G/KoeGlHV+/jxOFGlt83mvHLUwa92CI4vfB5/bx6/14KtzR2/UwdZyBu1jDiZg0jdno2SsPpVRnT2cNQVBgKeooxXsNl/zuZGZdmsuZ/86gvslL8t4+pX3eIkfctJWqssCkVfDfu1uD7vCnx9LqOCgSC8CLuUARhpdOmy3Zof1jH8ZjbaNu2CUttUUjiaaLiw25FeiJjRq9i5Ihz0SlCL0z1B1lWkpMdXFyvP/gZfq+7x+dK0nEB19PeRiDQOzFXUihIuuBS0m+8E2VUNN6GZup/9zjtb28k4PX2KlZvaH9jPfbdeaBUkHbVatSJ4bPlip42i5TLrgVZpuOLPTT/5w0CvlP33hCEloDXR9O/X8FdVo1s1JNx4x1hEwvhWO/RlZeBUokzrxj7zoMhi93Vx7DZGrKYA4kuPQZJpSDgdONraQ9pbP2MXJAkXDVVuFtbQhpbcGYiyTJJF15G7LzFALS+9D7mjzZHOCuBoO+kjIlCF6XCZ3djLWqIdDqCMBDw+anfmM+uW56l+G+f4G62EZ2q45LfTuLedxYy4exUIRYKBpRAIMCa/82jcEsjSo1M9k3zmPb49cx57U7GPLSCxEWjTzuxEI5XGKrUYjlO0Duyp8Vx9xsLOP/H49EYlVgL69l/3ysUProRd7s90ukJBiGdlqSih6FAIOgN4g5FEFb0MycB4Kgsw2NuD9s47Tu30bThA5oObw9t3GFKPJ6Bu/Fyj+tbpaDLZaW2bg9uty3EGUFqyjS02li8DitNh7/s9fntO7dR/s8/YN7dt/+NYeQYsu/5EaZJ0yAQwLzmM+p/+zjumtAvZlk/24Fl/RYAUi6+Gn3OiJCP8U2iJk0n9YobQCFj37Gf5sdfDasgKjhOIBCg5fl3cR4sRFKrSL/mNtQJSWEfVx2fSPzCYP/CtlfW4rc7QxJXeUwwdLeE/jowEMhKBfrMoAV0qF/fimgT2nHB17Mtb39IYwvOXCRJImHFKuIWnw1A+xvraH/3415vkBEIBgOyLJEzI3gNbt9XGeFsBKEk4A/QtLmQ3bc/T+Ef1+OsN2OM13DBT8bzwIeLmX5JJgqlWBYQDDyb/3OU3W9VIUkw5qcXknPDXEyjkk97i8XjFYbCklTQexRKmXk3DOP+tYuZelEGgQDUrzvEvtX/peb9fQR8/kinKBhEdFqSGoUlqUDwNerq6vjVr37F9OnTiY+PR6/XM2LECG6++Wa2bNkyZMbcsmUL99xzD7m5ucTFxaHVasnMzGTu3Lk89NBDrFu3rk9xxcxAEFaUcdFoRucA4V2kNeVOAcBcXYDPHZrF99aSfRx45VcUH/0oJPG6w+/30txSSKU9v9eLjYd2PcWRwrdpaQ1NheWJyLLihCrDz/F5XL06X93kJeDx0LRhDe7W5j7loNDpSb38elKvvBHZoMddUUPdL/9J66trcVfU9ntx1l1VR+sra2h98X0A4pedR9Sk6f2K2RtMEyaTdtXNoFRg351Hw5+extMoqqDCibelnebHX6Xji90gSaRefiO6zJwBGz924TJU8Yn4zFZsX+wKSUxFbDQAruahKRjC8T6GnhD3MQTQzwpuYLEKwVAQQiRJImHZeSQsvwAA8/uf0v7OxghnJRD0jRHH+ta1fFUa4UwEoaJtbwV7v/cSBb9di72yFV20ihUPjuXBdUuYe90wlGohWAgiw8GPavnkn8G564h7l5Iwf1SEMxo4jvcwFMtxgr5jStBy2e8mc/sLc0kdG4XT4uXoPz9j7z0vYy0M/VxKMDQ53sNQVBgKBJ28//77TJgwgV//+tfs3buX1tZWHA4HpaWlPP/88yxevJi77roLXwgd4EI9Zm1tLatWrWLx4sX8+9//Jj8/n7a2NlwuF9XV1ezYsYNHH32Ua665pk/5ih6GgrBjmD0ZV1E5loN7iZ2/JCxjaFLSUcUn4mlpor3iEPGjZvY7ptoQjc9lp7E1nzG+VSgUvesv2Fuamw+TV/AqAFZvC+NNC3psixqrTsHibaKjo7H7g/tASvJUqqu3Yxg+BgK927GWNGEB7eWHsDWUUvfac2Te9n1kdd/+lqbcKeiyh9Pw3ut0FB/GumEr1g1bUaUlYZg7FcOcySgT43oUy9tuwb59P7Yv9+KpOn5DHT19DnGLlvcpv/5gHJtL+jWrqX39OVyFZdT94u/EXn0BxiWzhD1UCPG73Fg+2ozlo80EPF6QJJJXXYFx7IQBzUNWKomePpvmjWtxFZXDiv73eJW0wUmAzxn+3qvhwjg8kcZPD+Muqw55bP30CbS+8B6u+hrcrc2o44Zen0fB4CVu0TIktYqmj97DsuZzFHodUef1rO+vQDBYGHdWMmt/l4+1oBZXsw1NgjHSKQn6iLWwnrJnttK2pwIAjUHJ/JuGMe+GYWhNqghnJzjTaSqz8d6vgrb8GVfMIP2iqRHOaGBR6INz4Y7Wnrf7EAhORva0OO5+fQG73qzg438UYjvayL77XiZ15RSG3bIApVEIRWcyXYKhsCQVCAD4/PPPufLKK3G7g+/BF1xwAatWrcJgMLB3716efvppzGYzTz75JJIk8fjjjw+6McvLy1m2bBmlpcFNnqNGjeKSSy5h7NixmEwm2tvbOXz4MOvXr6e2trZPOQvBUBB29LMn0frKWlx11bga6tAkh74hsyRJRE2eQctn62gp3h0SwdCQPAyNKR6XtYWGxoOkpc4IQaYnJylpIqM9NoqK11LlyMftdzApehkKqfuXqUbWA+B2h6d3mSwrmDnjHiwjdb0+V5Jkhp11PYff+wuu+loaPniDlMuu67MIpjRFkXb9bXQUFmA5sBtbYT6e2kba395A+9sb0IzOwTBrcrCfmywhKRQgSyDLSLKMt9VMx/Z9OPOKobMyUanAOHoCUVNnYRg9LmICnWHUOLK/9yMa3n0NR0Uprc+/i31vPvGrL0N5rHpM0DcCgQCOfQW0vrymqz+eLns4ieddjDYtIyI5adOCFsSu8prQBPQEdyvLqqFbLWAaH3x/cJVUEggEQvpaVJgMaMcMw3m4BFvBQeIWLA1ZbIEAIHbOIgJuD82ffEjb6x8hG/UYF4b33kEgCCXRKToyJ8dQdaCd5q3FpF98Zi3inw50VLRQ/uw2mrcWA6BQSsy6Kpsld43CEBvezY8CQU/wOH28/sO9uO0+oidnMvy2/m+aG2oYhwc3rbVW2XF1eNEYxLKcoH/IConZV+cw4exUPvpjAQc/rKX2/f00bSlixF1LSFo6VmxCPgPxu714bUGHMKMQDAUCXC4Xq1ev7hLu/vnPf3Lvvfd2/f66667jzjvvZPHixdTX1/PEE09wxRVXsHRp39eOQj2m2+1m1apVlJaWIssyf/zjH7n//vtRKL69Dvjoo49SVVXVp7zFnYkg7CiMBnRTxuLYk49l/24SV6wMyzhRk6fT8tk6rPUluG1tqI2x/YonSRIJY+dSs2st1TXbSU2ZHvabrIz0uahVRvIPv0GDq5TdbU6mxZyLSj71m7u6SzAMnxWhJMlEl7gwj+j9jYbaEM3wpTdStP4JrAf3os3IJnZO3yeHkiRhHDsB49gJ+BwObIcPYjmwB0d5Ca6i8mDFVg/QZuYQNWUGpgmTUegNfc4nlKjjEsi45Xu0b99C06cf4TxURN3P/0bcDRdjmDM50ukNSTwNzbS+vAbnwUIAlNExJJ57EcbxkyI6cdKkBoVKX0s7PlsHCmP/noOdvS+HtGA4KhlJIeNrt+JrNaOMjwlpfP2MXCEYCsJK7MKl+BwdtG3bRMszbyPrdeinD2wFs0DQH3JXpFJ1oJ2mLUVCMBxCOOvNlL+4ncaP8wn4QZJg8sp0ln5vNHEZ+kinJxB08eEf8qkvsmKIUzPup+cjKc48W05VtB51vBF3i42GIgtZU3vmkCMQdIcxXsOV/zeV6ZdksuZ3eTSXdXDk9x9Rvz6PUfctRZ8VH+kUBQOIu80OBDcP6aKEu4BA8Mwzz1BeXg7AypUrvybcdTJ69Ggee+wxLrvsMgB+/vOf8+WXXw6aMR955BEOHToEwO9//3t++MMfnnL8zMzMPuV95t2dCSKCcd40ACwH9xDwh6cJsyo2Dl3OCAgEaCnZG5KYCaNnISmU2Gx1WCyVIYnZHUlJE5ky6WYUCg1tnlp2tr2P09dxynM0crDyz+0Jf+8yW0MZRz9+pte9Ik2pI8iYeSEATevfx1Xft7Lob6LQ6YieNpvMW77HsAd/QcI5K9EPH4U2Mwdtehaa1Aw0KWmok1JQJyShSUkjbvHZ5PzgJ2Td/n1iZs4bNGJhJ5IsEzt/Cdl3PYgmLQN/h4PmJ16l6d+v4LOd+rkgOI7f5ab97Y3U/uyvQbFQoSBu0XJy7vsxpgmTI77LUqHToYoLTtrcFf1/PQS8Qa9zSTV09wIptCoMIxKBYJVhqNFNnwCShLO6Eo+5PeTxBQJJkkg4ZyVR02ZBIEDT46/gPFwS6bQEgh4z4exgpbflUHWXjZVg8OJu7eDovz5j981P07AhKBaOW5rMve8u4vJHpgixUDCo2L+2ht1vVSFJMOLHq9DEn7m2x8Zj97t1heFxCBKc2YyYk8C9by9k+X2jUWpk2vdVsveO5yl7ZuuQbl8h6B2dgqEhXhPxtQ+BYDDw2muvdX394IMPnvS4iy++mJycHAC2b99ORUXFoBjT4XDwj3/8A4CcnBweeuihPufVHUIwFAwIusljkA16fFYL9tLisI0TNWUGklKJz+UISTyl1kDciKDYWV2zPSQxe0Js7AimTbkdtcqI1dtCg6vslMcPRIUhQCDgp+rT1zBX5tOQt7nX5ydNWETciKnELzkHdVJKyPNTRccQt+AsMm6+m6zbv0/WnfeTffeDZH/vIXLu/R9yvv8w2d97iIRl56GOTwz5+KFGk5RC1u0/IP6sFSDL2HcepPanf6VjxwECnXaqgu/EceAItT/9C+Y1n4HXh37kGHLu+REJy89HVg8eO47OKkN3CGxJA6eBJSlA1LjjtqShRhkThWZEFgC2w4dCHl8ggKBomLzyCgzjcsHro/Hvz+MKQ19OgSAcxKTqyJgYQyBAl62lYPDhMTso/e8Wdt/4H2re24fPG2D47HjufGUe1/1jBskjTZFOUSD4Gq1Vdj74dfDeK+v6OcROz45wRpHFMLxTMLREOBPB6YpSrWDJnaP4/nuLGb0wEZ83QOUrX7H7tudo3i42s50JuNtE/0KBoBOr1crWrVsBMJlMLFx4ctc7WZY599xzu75ft27doBjznXfeoa2tDQhamcpy+GQ9IRgKBgRJqeyyU7Ts3xW2cUy5Uxn+o18TfUXobE+Txs0HoLE5H4/HHrK43WEypTF92l0MH7aClGnn4h538jLizgpDj7uDQCA8FZwQtCUdPuxsABryNuNx9G5HpCRJ5Cy+jpxhZyOF8cJ2OiEpFMSftYKs23+AOjEZv8VG8xOv0vjnp/HUN0U6vUGH3+Gk5Zm3aPzrc/ha2lFGx5J69c2k33AH6oSkSKf3LbSdgmFIKgxPL8HQHQbBEIK2pAC2goNhiS8QQPDanXr5DeiGjSLgdNP4l2fx1DZGOi2BoEfknhPc1NW0pSjCmQi+idfmovz5bey58T9Uvb4Lj9NPxqQYbv7vbFY/PYfMSf1rySDoHT6vH2uzE7fDF+lUBj1fvliG2+EjelIG2dfPjXQ6EaezwrD+DBMM/b4AtQVmirc1cfCjWna+XsHm/x5l/aOHee9XB3n75wfY/N+jFHxaT3O5DZ83fGsbZwpxmXpu+PdMrv37dKJTtDjrLeT/4j3yfvEujjpzpNMThBHPMacIY7wQDAWCgoIC/MccD6dOnfqdPf9OZObMmV1fd1qARnrMzZuPF+7Mnj0bv9/Ps88+y1lnnUViYiJarZbMzEwuu+wy3n777X4Vmgxa37KDBw+yceNGtm3bRl5eHrW1tXg8HmJjYxk/fjzLly9n9erVpKamRjpVQQ8xzJ+G9dPt2I4cwud0otBqQz6GrFaHPKY+IYP0WRcSnTkeVcvA2vrodHHkZC/u+t4xOoXA4SL0iqivHaeWdYwzLUCRmUkgECCcbgOJibmYTOlYrTXU7f+ErLmX9Or8E60Q/G43tsOHiJo8PdRpnnZo0zPJuutB2rZ9TsuWT3DmH6X2538j+vzFRF14FrJaeNI7D5fQ/NSb+FraQZKImbOIhGXnheW6ECo0aZ2CYQgqDE8zwdBVXkvA4w25xapu+gTaXvsQR0Up3g4bSsOZa4clCC+ySkX6tbdQ9ezjuGqraPjz06T87O6Q9+YURI7Tdb4y/uxU1j96BPPBKtxtdtSxwtYy0vgcbmre3Uf9W1/hsATt5FLHRrH8vtGMXpQkrMbCiNvho/pQGy2VdtprHcGPuuBna6MTvy+4GKPSKTDEqoMfcWr0sWqiU3TknpNC6tjoCD+KyOJ2+Ni/Jlhpn3Xt7DOyb+E36RQMG4qt+H0BZMXp/Rp2mD3seaeSHa9V0F7TczcohUomIcdA4nAjqeOiGHlR3dMAAQAASURBVLskmaQRRnHN6yWSJDF+WQoj5ybw+ZNH2fZ8KS3bSzHvLSfjmrlkXjkDWT1ol4cFfaTTktQoKgwFAgoLC7u+HjZsWLfHn3jMiedGcszdu3d3fW0ymVi8eHFXBWMn1dXVVFdX884777BkyRLeeust4uN737920L0jtLe3M2vWLIqLv9sCp7GxkcbGRjZt2sQjjzzCH//4R+65554BzlLQF9TDMlCmJuKta8JWcJDoabPCOp6zvQFNVAKS3P/F85SJZwW/aHH1O1Zf8XpdHMp7EYelgdlxl6BTHLcakiUF2fqJuJP61sy0N0iSxIjh57L/wNM0H9lO8oRFaKJ6f/ExlHoo2PBPXHU1QICoyTNCn+xphqxSEb/kHEyTptG49h3sR49g/uAzOrbvJ+6Gi9BNGhPpFCOC3+Wm/a31WD8ONgVWxcaRfMk16HNGRDiz7tEeEwy9DS347U5kfd83UgQ8x3oYqoe2YKhNi0EZpcVrceKuqkMzPLTXNVViHOrsdNwVNXQcySN6+pyQxhcITkTWaMm44XYqn/4XnuZGGv70NCk/vRNFlBCqhzKn+3wlLkNP2vhoagvMNG8rJu3CyZFO6YzFa3dT+/4+qt/ag8ccXGRPGmFk2b2jGbcsBVkWi+ahxuvxU32wndKvmind2ULNgVY8PWj55XH4aHcEhcQT2fyfo6SNj2LaJZlMPj8dXfSZt8kvb2MdTqsXbUo0sdPObCvSTnTpsSBLeBw+bM0uopJDv5l6MNBQbGX7K+Xkr63C4QiK60aTRHqGgqhomehoiahoGVNU8GtJgrISH0eLPZQe9eJ0+mkottJQbCVvQx0f/62QuEw945YmM25pCllTYk97sTWUqPVKVjwwlqmr0lnzu3zKdrZQ/tw2Gj4uYOR9S4mbkRPpFAUhpNOSVAiGgkhhsXy9il6j0aDRROb52N7e3vV1QkJCt8efKLKdeG4kx6yrq+v6+q677qKwsBCTycStt97KjBkzCAQC7Nixg2effRa73c6mTZs499xz2bZtG+peFlIMOsHQ6XR2Tb4VCgULFy5k4cKFDB8+HIPBQEVFBW+++SY7d+7Ebrdz77334nA4wtroURAaJEnCOH8a7W9twLJ/V1gFw5qXnqKjqIARZ68mJmtCyOKaR2iIOupAkgZ+V6Tf78HltuL0d7Cr7QNmxK78VqXhQBEXO4K42FG0thVTu3cdw5Zc3+sYskJJXPJ46upqaHj/DRQGE4aRZ6bg1VvUcQmk33A7toKDNK17D29TK41/eRbdtPFEnbsIzajsM2LXZcDrw76vgPa3NuBtaAYgeuY8Es9ZiRyhm5DeotAbUMbE4m1vw11Rg3ZcP0TOrgrDQffW3iskSSJqXBqtX5XiOloRcsEQgrak7ooarPkHhWAoCDsKg5GMm+6k6ql/4q1vovGvz5H8P7cj64bGdUrwbc6E+UruilRqC8w0bSkSgmEE8Dk8VL+zh+q39uC1OoGgrdzSe0Yz6bw0sUAeYuztbvavqaF4axPle1vxfMNiNCVVZvRYFekZCtLSFaQd+5yeoSAhUcZuD9DW4qelxU9ri5+21uDnvIMePvvYSW2BhdqCfDb+OZ+xy9NYds9o4rMMEXq0A8+uNyoASD1/IpIQuQGQFDKaRBOuBgvttfbTTjCsyTez4S+HKf2qpetnY8Ypuf5mAxderEOn6/554PcHqK32UXLUy9EiLzt3uNm+zUVrlZ1tz5ex7fkyDHFqxixOYvIF6QyfHX9GzIFDQdIIE6ufns3Bj2pZ96fD2GraOPTw2yQsHMXI752FJlH0wT0dcHdZkg5exyVBzzBVBVCo+24vOdD43MFcMzO/vpbzy1/+kl/96lcRyAhsNlvX19oeOB7qdLqur63W3rXjCteYnf0LIViBmJOTw+eff05OTk7Xz6+//nruu+8+zjrrLOrq6ti9ezd/+ctfePjhh3uV+6BcVYyPj+eBBx44qYXPQw89xB/+8Ad+8pOfAPCzn/2Miy++mJEjRw50qoJeYpg7lfa3N+IoL8Hd2ow6rnuFvS+oExLpKILmwq9CJhi6rC3U7P4If0sb06bcMeA3o2q1kamTV7Nn33+wO9v4sv0dJhmXkKTJweGzcsj3FaPtq9Dre1/t1xdGDF9B655iWkv2kTxpKfq4tF7HSJ16Do62Otor8qh99RkybrwTXfbwMGR7+iFJEqYJkzGMHEPL5xto2/EFjr0FOPYWoEpPxrhkFsZ505ANuu6DDSECfj+uo5V07NiPfedB/LagzYYyKprki67CMGpshDPsPZrEFLztbXgamvslGPodwQVFhW7o71yPGp96TDCshHNCH18/fQLtb2/AXlYcNotsgeBEVNGxZNx4J5XP/hN3WTVN/3qJpAduQlIOyltxQQ843ecrE85OYeNfj2DeX4mr2YYmQVTFDgR+r4+6Dw9R8dJ2PMesxBJyDCy+YySTzk9DoRRWjqEiEAhQvqeVXW9WcvjjWjzu47+Li5eZM0/N7Hka5sxXk5WtOOXcz2iUMBplMr+jeK6t1c+a9xy8/bqdwsNeDn5Yy+GPa5l380iW3TP6tBd/6wstVB1oR1ZKpJybG+l0BhXalGhcDRaaKzrImhoX6XRCRuGWRl65bxc+H8gyLF+h5fpb9Mycre7VGoosS2RkKcnIUrJ4Kdx6F3R0+Nm62cWnG1xs/syJudXN3ner2ftuNaljo1iweji556SKa2UPkCSJyRekM2ZREp8+VsSOV8pp/qIYy55SMm9ZRPqqKcI+eIjjaT9mSSp6GAoiRFVVFVFRxwtduqsuXLJkydf69PWHV199lauvvjoksQYLnf0QO3n66ae/JhZ2MmbMGJ544gkuuugiAP7xj3/0WjAcdFf/+Ph4ysvL+dnPfnbKfh8PP/wwF198MQBut5uXXnppgDIU9AdlfAza3FEAmPfsCNs4nRUj5qoC3La2bo7uGbJSTXtFHmZzBe3tZSGJ2Vs0mmimTbmdKFMGXq+Dve3rKLRu54D5E1rbiiksfn/AcjGZ0sjMWED2wqvQxaT0KYYkyww76waiMsYS8HioeekpnLVVIc709EbWaEk89yKy7/4hUdNmIalVeGoaaHt5DdUPPELzU2/iKqnsV7PbwYC7qp62N9dT86M/0vDIE9g+24HfZkdhMBK3aDnZ9/xoSIqFAHTT+LineOqaANClx4QkXiSJnpAOgKuoPCzPXVVaEsrURPD56CjKD3l8geC7UCcmk3HdHUgaNc78YpqfepPAN276BUODM2G+Ep9lIGtqLAE/NHwsrpPhJuDz0/DpYXatfo6j//wUT5ud2Aw9l/9hCt9/fzFTV2WIBfAQYW93s+2FUv6xajNP37yDgx8GxcLxuUoe/n8m3t+YwLa9SfzlsViuuk5Pdo6yXxtFY+Nkblxt4L31Cby5Jp4FizV43EGr0s8f/25b49OJna8Hqwvj541CHXfmVFX2BNPoJACqD7VHNpEQ0tHq4p2fH8Dng6Vna/hkWxL/eDKWWXM0IdlwbTDIrDhfxx//HsPWvck892ocV1+vR6eTqDti4c3/2c9fL9jE9pfLcNu9IXhEpz9ak4oLHp7APW8uJGtKLG67j5LHPmfvfa9gLWqIdHqCftBpZW6IExWGgsgQFRX1tY9I2ZECGI3HNz86nc5uj3c4jlvMm0x9q7oO9Zgn/mzUqFEsXbr0pLFWrlxJWlqwsKeuro7Dhw/3KOdOBt22ZpVKhUrVs+qIq666ivfeew+AgwcPhjErQSgxLZmF81ARln27SFh6HlKIFstPRJ2YjG7YKBxlxTQd2UH6jPP6HVOlM5EwahZNR76konIzsbGRqYTTamOYNvUOjpaso7pmO2X2/QAoZDVjRl80oLmMGnk+5hH9u+DLCiUjlt1M8Yb/YqsvofqF/5C5+h40SX0TIc9UNMmppFx8NYkrLsJycDfmXdtxN9bTsXUPHVv3oExNRD8jF/30XNTZaYPeriUQCOCuqMGxtwD73nw81ccnK7JGg3HcJEyTpqEfNjIs15ABpVMQ68f/xO9w4Ws1A6DPGpgq43BiGpuCpJTxtVvwNrehSgz9rmvDjImY13yGLf8gUZOmhzy+QPBdaNOzSLvqFmpefgr7jgO0mQzEXrsy0mkJesmZMl+ZfkkmlfvaqN+QT+bVswb9vcNQJOAP0PxFEeUvbMdeEbTuM8SpOevuUcy4PAulSoiEoaKh2MoXz5ZQsKEG97G29Hq9xAUXabnqOgO5k8Lr0CBJEhMnq/nvC7G8+aqD//ewmc+fKCZjYjRjFieHdexI4bR52L+mBoDUVcLa+JtEjQ1uODldBMNAIMD7v8mjo9XNqNFK/vpYLBpt+N43VCqJOfM1zJmv4Qc/MvHaix28+Kyd1hoHH/6+gM/+Xczsa7KZe20OhjhRYdUdKWOiuO2Fuex+q5KNfz2CraiBffe+RNrF08i5eT5KvRCdhhoeS1B80EeL/51gaHD55ZczZcqUkMQaM+brLa9iYmK6vm5ubu72/JaW45baJ57bG0I9ZmxsLK2trQBMn37qNSxJkpg2bRq1tbUAlJSUMG7cuB5kHWTQCYa94cSy1hNVWMHgRjd5HHKUEZ/Fiq0wH9P4SWEZJ2bWPBxlxTQX7iB16tnIiv4/3ZMnLqGpcDutbcVYrbWYTL234QwFsqxk9KiVREdnU1T8AdHROSTEj0WvG3ihILrEhXmEBr/Xg6RQ9Km/o6xUMfLs1RStfxKXow1ExUWfUeh0xM5eSMysBTiryjHv3o4lbz/euiYsaz7HsuZzFPExXeKhZmQWkjw4FqMCXi/Ow6XY9xXg2H+4SwADQKnAMGocUZOmYxg9Dll1Gt30HhMM+7MQ66lrBEAVq0dlGvr2mgqtCuOoZKyH63AVlYdFMNTPzMW85jM6jh7G73INmb6XgqGPYeQYUi65hvq3XsL68ZcooqMwLRO9NE9XhvJ8JXdFKh/+Ph9HdRuW/Fqic9MjndJpQyAQoGXbUcqf/5KOsuACgjZKyfybhjPvhmFo9EN6mj5oCAQCVOxt44unSyjc0tj18/G5Sq68Vs+FF+swGgf2PliSJK68Vs+Rwx5eed7O+z/Zw22vLyEuUz+geQwEB9bW4Hb40GfFETM59D2phzqmY4JhfZEVj9OHSju0N0EeWFtDwSf1KJXwf3+LCatY+E1iY2Xu/r6JW+4w8t6bdp75TweVFR42PXGUnS+WMOuGESy4aTha09Bv3RBOZFli1pXZjFuazLo/HubgR7XUvLOX5i+KGHnPUuLnjxSbh4YIAX8AjyVY0aSPPY3WTgSnNffee2/YYp8oIJaVde8aeOIx3xQfIzXm2LFjKSkpASA6OrrbeCceY7FYuj3+RIb0TOTQoUNdX2dnf0fDAMGgRFIqMC6agWXtJsy7t4dNMDSOzUVhisJrtdBecYi44VP7HVMTFU/ssMm0le6nomoLueMj64ecnDSJhPhxKBSRvfFtLdlH9a41pM+4gPiRfavUUai1jFpxO15nB56UpBBneOYhSRK6rGHosoaReP4ldBQVYCs4RMfRw/ha2rFu2Ip1w1bkKCPascNR56SjzklHk50+YH0Pfe1W3JW1uCtqcZVX48w/SsDpOv4Y1GoMI8dgHJuLYcwEFLrTbyEFIBA4JpCHQDA8HaoLO4nOTQ8KhsXlGOdPC3l8VWYqyuR4vA0tdBQfxpQ7JeRjCAQnI2rSNHwdNprWvUf7W+uRtGIif7oylOcrGoOS3BWp7H2vmvr1eUIwDAGBQICWHaVUPP8ltqPB926NUcm8G4Yx74Zh6KLEYnYo8PsDFG5qYMvTJVQdaAeCt1krztdyyx0GJk1RRXzR++FfRJF/yMOBvR5efWAPd7w0b8gLRicSCATY+XolAKkrJ0f87z0Y0SSZUMcZcLd2UFtgJnva0O1j2F7nYMPvg1X09z5gZHxuZK5lWq3E1TcYuOJaPR+vd/Kfx2wU5HnZ9MRR9r1awpxbxzD7mhzUutPntRYOTAlarvzjVKZelMEHvz1EW7WN/F99QPzc4Yy8dxna5KjugwgiitfmBH9wY7I+RtxbCATjx49HlmX8fj/79u3D5/OhOIVb2a5du7q+zs3tWw/mUI85efJkPvzwQwDMZvO3fv9NTjymJwLjiQxZwdDj8fD00093fX/BBRdEMBtBbzEumoll7SbsJUV42lpQxYZ+kVtSKIiZMZeWzzfQVnogJIIhQMqkpbSV7qex6RAOxznodJG9sY+0WAggVTTi6TBTu2c9scMm97maU6nRo9To0VYEsGZLOCrKUMUnoDT2zS9aEESh1RE1aTpRk6bjd7uxlxRiLThER2E+fosN+86D2Hcet0lTJsejzg4KiMrEOJSx0SjiolFEG3tt/xlwe/C2W/C1mvG1WXDXNuCpqMVdWYuv3frtXI0mjGMmYBibi374KOQeWr4NaTpb9Mn9EAxrg/0L9ZlDd6Hhm0TnplP95m5cReVhiS9JEvrpuVg+2oy14KAQDAUDTuzcRfhsVlq/+JS2lz6IdDqCMHA6zFemXZrJ3veqad18GN89Z6HQCXG7LwQCAVq2l1Dx0g5sx3pCqfUK5l4/jPk3DRN2YSHC7wtw8KMaNv+3hKZSGwBqDVx8mZ7VdxrIGTZ4lj/Uaom/Px7Lpec3U3fEwge/zePS/5102ghrFXvbaCi2otIpSDl7fKTTGZRIkoRpTAot20uoPtQ+ZAVDvz/AO784gNUSYPI0Fbfdbez+pDCjUEice4GOFedr+Xi9k7//yUbJUS8b/nKEL18sY8mdo5h+Waawfe6GUfMTue/dxWx6sphtz5XSsr0Uy/4KMq6fR8Zl05GVQngdrHRWF2oMSpRq8X8SCEwmE/Pnz+eLL77AarWydetWFi9e/J3H+v1+NmzY0PX9eef1rc1ZqMc8//zzeeSRRwDYs2fPKccOBALs3bu36/veVkkOnjvmXvL73/+e4uJgk/ApU6b0eALucrlwuY5XsPS2JFMQGlRJ8WgnjMKZX4x5z1ckLD8/LONEz5iLOjEZ47iJUB2amPr4dKLSx2CpKaSq+ktGj7owNIGHMJkZ86ip2YHL1kpj3hZSJp+88WpPCWwvpPrjp1HGxJF29c2ip2GIkNVqjOMmYhw3kYDPh6OiFGd1Jc66aly1VXjaWvE2tOBtaPmaiBg8WUYRY0IRG40iyojUKXB1LWwEPwfcbrxtFnxtZvw2+8mTkSTU8YloUtPRpGagyx6GNn3wWKQOGF09DPv+uD21xyoMs4fmQsN3ETUhaPnsqW3EZ+tAYTSEfAz9zIlYPtpMR3EBfo/79LK6FQwJ4pefj7fDivXwAQIOV/cnCIYUfZmvDLa5SvbUWOKzDbRUdNC0uYiUc/u2w/ZMJeAP0Ly1mIqXd9BREtzco9IpmHNtDgtuHo5B2ISFBL8/QP6GOj77dxFNZR0AGE0S19yg58bVBhKTBudiaUqqgr/8K4bV17Wy7/1qMifHMOvKoVWJfDJ2vl4BQPyS8SiNQ98uP1yYxqXSsr2EqoPtkU6lz3z1ajmlO1rQ6ST+768xKJWDR/SWJIlzztOx7Bwta9518M+/2qipcrHmf/PY+lwJZ39/LBPPSz1thPpwoNYpOOf+sUxZmc4Hv82jfHcrZf/9gsaPDzPq/uXCfWCQ0tm/UCeqCwWCLq6++mq++OILAB599NGTinfvvfdelz3onDlzyMnJGRRjzps3j2HDhlFWVkZxcTGfffYZS5d+9/r7mjVruvoXjhw5kpEjR/Yq7yG5Kvvhhx/y61//GgCVSsV//vMf5B4uMP/+978nOjq66yMzU3jpRwrj4pkAmPftJODzhWUMpSkKU+6UXldFdUfq1LNJn3khCUuH3k7xcKBQqBk+/BwA6vZ/jNvW1u+YamMcSo0BT3MjlU/+DcuBU++eEPQeSaFAP3wUcYuWkXbVTQx74OeMePi3pN94JwnLz8c0cSrarGEoY2JBlsHvx9dqxl1SiWNfAfY9+cGP3XnHPg5h330Ix8FCPFV1XWKhpFKhik9ElzOCqGmzSbrgUjJv+z4jf/YIOd9/mNQrbiBuwVnoMnPOPLEQjguG/eC4JenpIxiqY/Rdj8dVXBGeMXLSUcTHEHC5sR8tDMsYAsGpkCSJ5JVXkHlz+Po1CCJDX+crg22uIkkS0y7JAKBufV5EcxlKBHx+Gj8/wu47nqfgN2voKGlCrVew6LYRPLThLFY8MFaIhSEgEAhQ8Gk9/778C17/0T6ayjqIjpF48McmNu1I4ocPRw1asbCTOfM1PPjjoJvKuj/kUX2oPbIJhQBbs4v8jXUApK2aHOFsBjdRY4ObYofq/72p1MYnfykA4Ec/Mw2qKt4TUSgkLr5cz7rPE/l//xtFYqJMW7WDN/5nH0/dtJ3aw91bu53pJI0wceuzc7j0d5PRx6joKG9m//2vUfjoBjzmodWj+Uyg839iiBH3GgJBJ6tXryYrKwsICmqPPfbYt44pLi7mnnvu6fr+t7/97Unj5eTkIEkSkiSxadOmsI8pSRK/+93vur6/9dZbKS8v/9ZxRUVF3H333V3f//jHPz7pYzgZfXo3X7JkCZs3b+7Lqd/i1Vdf5eqre94Hbvfu3VxzzTX4/cGeT48++igzZ87s8fk/+clPePDBB7u+t1gsEZ+In6nop41HNhnwWS10FB3GOC68O5YtmQGM5b4+22WeiDF5GMbkYce+ExUBACnJU6mt243ZXE7VjvcZsfzmfsXTRiUw7qIHKNv0MtbaYurffhlHRSmJ5118ZthURgiF3oBh5BgMI79erh7w+/F12PBa2vGY2/F12I794gSx69jXklKJ0hSNMjoaZVQMslY36HdtBrxeIJj7gI/d+XfroyVpwOvF29gKgOE06mEIQVtSe2UrrqJy9FNDb2clSRL6GbnBnp75B4LV6ALBACMpFGGxZj/TGarzlcE4V5m6KoNP/lGIJa8Ge3Ur+ozTZ3NKqPF7fDR8UkD1m7uxVwbfmzVGJXOvz2He9cPQi4W7kBAIBCje1sSn/yyiJj+40G80Sdxyu4GbbjVgNA2tDWi33mXgwD43H6938eoDe/jemwuHtKC8590qfN4AprEpmEYlRzqdQY1pTAqSBO21DmzNLowJmkin1GN8Xj9v/XQ/LhfMW6jmmhsGf795tVri2hsNXHKFnuf+a+M/j3VQsbeNx6/cyvTLMjn7+2MwxA2d/8FAI0kS0y7KYOziJDb85Qh73qmifl0e5m2FpN+0iLQLJyEphtb193TFe0ww1A/h9xKBINRotVqefvppzj//fDweD/feey/r169n1apVGAwG9u7dy1NPPdXV++/2229n+fLlg2rMa665hg8++IDXXnuN8vJyJk2axG233caMGTMIBALs2LGDZ555Brs9WMCxcuVKbr311l7nPTi3/5yEgwcPsmLFCqzWYN+rX/ziF9x33329iqHRaNBoxA3AYEBSKjEunIHlo8207/oyrIKhee9OWj7fQOr4JSSNXxDS2O3DVZiKO1Aozuw3YkmSGDNqFTv3/Iv2ikOYqw4TnTmuXzFVOhOjVtxB3f6N1O3/BPPu7bga60m75haUhsj3RjiTkGQZpSkKpSkKbXpWpNPpM363C0dlOa66ajytLbhbW/C0teA1t5F2zS0YxwavQ16bFWd1JYbR48Jf9eg/VmHdR1HVU9sIfj8KvRp1wun1uojKTafuo0M4w9THEMAwcyLWDVvpKCwg4POFvCJdIBCcWfR3vjIY5ypRSVpGL0iicEsjla/uZOyPzo10SoMOv8dH/YZ8Kl/Zgasx+L/XRimZd8Nw5l6Xgy5KbHYLFa1VdtY+kkfRF8f6N+slblit55Y7jMTEDM2FakmSeOTPMRQXNVNe6mTj345wya8nRTqtPuH3Bdj1ZiUAaaumRDaZIYDSoEGXFY+9ooWqg22MWzp02nDs/6CGmjwzUVHB5+9g3yB6IjqdxN3fN3HJFXr+9IiFD993svutKoo/qWbpDycy7eKMIfV4Bhp9jJpLfjOJaRdn8MFv82gotnL0n5/S8EkBYx5agSFbbISLNJ2WpPpocf8hEJzI8uXLef3111m9ejXt7e2sXbuWtWvXfuu422+/nccff3xQjvnCCy+g1+t55plnsFqt/PWvf/3O42688UaefPLJPr2f9UkwvPzyy5kyZUpfTv0WPW26eOjQIZYtW0Zra3Cn5k9+8hN+85vfhCQHQeQwLpmFZd0W7EeP4G5pQh2fGJZxAh43XnMbjXlbSBw7L2QCgK2hnMov3yZOm8WY0atCEnMoYzSmkJk+j6rqrVjrS/otGEJQqEqbdi6GpBxKN7+Es7IMy96viFu4LAQZDyx+lxNXUwPuxgY8rc0gy8hqNYaRY9CkBL3/fQ477qYG1AlJKPSh79l2JmMtOEjdmy/CSSyQ5ZIWTLoA1myJ9u1baP3iU9RJKcQtXBYWa2MI7pB3NwftRJWJfavYcBwsAoLVeKfbxLazJ4ansoaA24OkDv2ERz08E9mox2+z46yuRJc9rPuTBALBoEfMV0LLkjtHUrilkYYN+aStnEzU2NRIpzQo8Ht9NGzMp+Llr3A1BPtNGhM0zL9xGDOvzEJrFAt1ocLr8bPtuVK2PFGIywUqNVx3k4E7vmcgLn7ob/YxRcn8+vfR3HRVK3kb6lj581yUqqEngBZuaaS91oHSpCVx8ehIpzMkiM5Nx17RQtmu1iElGOYds51dfZeRlNSh+RpMSVXw6D9jufYGN7/9f2aOFHh59xcH2fd+NRf/ehIJ2WI+fiqyp8XxvTcXsOuNSj7+eyHWw3Xsu+sFMq+bQ+bVs5CVQ/N5cTrgtbsB0JrEfYhA8E0uueQS5syZw+OPP86aNWsoLy/H6XSSmprKggULuPXWW0/aa3AwjKlSqXj66ae55ZZbePbZZ9myZUtXv8K0tDQWLlzIbbfdxrx58/qcb58Ew3vvHdg+K52T7+bmZiDovfrII48MaA6C8KBKikc3aQyOA0do/2orSedfEpZxoqbOpPmzdbisLbRX5hObExrbuYDPi6O1lhqpnsyMeej1CSGJO5QZlrOUhIRxyNPHhjRudMZYxl1wH01HthM9/6yQxg43HcWHafjgLbzm7+7tKGt1XYKhs6aKmheeBEBhikKTlII6KRVNcgrqpBQ0SSnI6sFVeTCYCPh8OGsqsZcexV5WTNTkGURPmwWAJjEZfD5UhhiMyTlooxPRmBLQmOLQRCWg1AX7x5gqAtg6VMgaDe7GeurffpmWz9YRu2ApUVNmhtQS12s1B+1dZRlVRt8WCBz7g31D4ueOCFlegwVtajSqWD2eNjuuihq0o3JCPoYky2jHj8S+8yD20iIhGAoEpwlivhJaMifHMmVlOvvX1HD0X58z9R/X9NlK+3Sg03q08uUdOOuPC4WLbh3BzCuyUGnFImkoKd/Tyge/OURjSdASf/Y8Nb/8XTTDRwwpw6RumTlbTWycTFurl7oCM5mTYyOdUq/56tVyAFLOzUWhEQvVPSFmSiZ1Hx6kdGdLpFPpMU6bh/KvglW+55yrjXA2/Wf6LDVvrU3g+ac7+NdfbJTvbuWJyzax/MEJzLo6G/kMfr/rDoVSZs61OYxbmswHv8mjcEsj5c99SdOWYsY8tALTaGFLHAn8Tg8Aar24HxEIvovU1FR+85vf9Gtz53f1Dwz3mCeyYMECFiwIrYtiJ4P+Drtz8t3UFLwZeeihh/jDH/4Q4awEocR09jwcB45g3r+ThGXnIWtCf8MpqzXEzJhH6xef0pC3KWSCoSltJNGZ4zBXHaakdAMTc68LSdyhjFKpJTZmGOFoG66NSSZzzsVQBdZs8DkcNK59i7jFZ6NJivxuTJ/TQceRPKyH9hM9Y26Xza6s0XWJhUqdCV1sCtqoRAIE8HvdxHgTMVUc6wXYJKMyxODpaMdntWC3WrCXFHWNkXjexcTOXRQcz96Bt8OGOj4x/LaZg5SA34+roQ5HaTH20mLsFaUE3Mf7iioMRjLig32jAoFEjFf8FLUprttKvNSpZ5M4fgFNh7fRmL8FT1srjWvewpq3n4yb7w5ZJZ+rrgYAVWoich+q53wWG66SoO1T/JzhIclpMCFJEtET0mjeehRXcUVYBEPguGBYUkT8WSvCMoZAIDh9OVPmK+c8MJaCT+uxHqmj4ZMCUs6ZEOmUBhyfw0PdukNUv7kLV1NQvDLGa1h0mxAKw0FHm5sNjx5m73vVAMTFyzz8CxMrLxn8/bH7gixLTJ2u4rOPXVTubxtygmFrlZ2jXzYjSZC2cnKk0xkyxEwO9qltKLJgN7vRRw/+VicVe1rxeCA7R8HwkYN+WbFHKJUSt95pZMV5Wn7+P2Z2fOlm7SP55H9Sz6W/nURs+uDv0RhJolN0XP/YDA5+VMuHv8+no7SJ/fe9TNql08m5aR4KrdhAMJD4HJ2C4enx+hQIBAPLoL5yfHPy/eCDD/KnP/0pwlkJQo12/EiUKYl465uw7N9NzOzwqOMxsxfQ+uUmOhrK6WiswJCUHZK46TMuwFx9hKbmfMzmCqKjQxN3qBNd4qIp2Y656jCJ4/peBn0yTBUBSo98gvXQPqz5B4ieMZeEs1agGODehn6XC1thPta8/diLDxM4ZncpqdWk6oMLaQZvGvoL7kEbm4JSc+qJhiltJJOu/gU+txNHewPOtjocbfVdH9qM488vW2E+De++hqzVok3PRpuRhTYtE016BkpT9Gm5kOJ3OfHarF32xX6Xi8on/gKBQNcxCo0eU+pITKkjiUo/boUkSRKaqJ73U1BqdKROWU5y7iKaC7+ies+HOMqO4qgoRZ8Tmmq+TsFQnZXWp/MdB45AAIyjktAkmkKS02AjakL6McGwHAitLUQn2gkjAXDUVOB3OcOycUUgEJyenEnzlagkLUvuHMXGvx6h7KkvSFgwCqV+8C9shwKP1Unt+/uofmcvXosTAFOihgW3DGfmFdmodUIoDCWBQID9a2r49E8HaW8L3uNdea2eBx82Ddk+hT1l6nQ1n33somJfG/NvinQ2vePQ+qAdVvTULHRpMZFNZgihjjOgz4rDXtlK+a5Wxi+P/EbY7qjOC24PnjL99HsPyMhS8swrcbz6op0/P2KlbGcLj1+6iXN+lMv0yzJPyzl2qJAkickXpDNybgJrf1/AoXW1VL+5m+Yvihn1wHLipudEOsUzBp8jaEkqKgwFAkFfGLSCYX5+/tcm3w888ACPPvpohLMShANJljEtn0vbSx/Q9tVWomeGrsfgiSijoomaNA3Lvl005G1m+NIbQxJXF5dK/KiZtBTt5GjJOqZNvVPcRAJut5X8tx/F73Wjj08PmUB7ImmpswlkN9FekYd55zasB/cQt/gcYmcvQFKG9/Lm93ppePdVbEfyCHg8XT/XxiQTO2wyccOndP1MVqowpvSu+kuh1mJMysb4jb9bwBdAOlaN2FFjQ1Ko8Dud2EsKsZcUHj/faCL9utvQpgd3rPo9HiSlckg9N/0eD+6melx1NTirK3FUV+BurEebnknWHfcDoNDpMKWORJKVRKWNxJQ2Cl1cKpIUumuIrFSTNGEhLmsLTrULpSkqZLG7BMPsvgmG9n2nrx1pJ1ETgn8b19FKAoFAWJ7DqsQ4lIlxeJtasZeXYhwzPuRjCASC048zcb4y74Yc9rxdSUtlB5Uv72D47YsinVJYcTXbqH57D40f7sNtD24Ki8vUs3D1CKZelI5SLRbiQk1rtZ33f32Iku1Be9/RY5X86pFops04/YSJ76LzcVbuawvbfU+4yNsQ7GmXtKRnfV8Fx4mZkom9spXSnS1DQjCszQ8KhrmTTs+qMVmWuO4mAwsWa/jJg+3s3e3hvV8douDTei7+1SSiksXmwlNhiNNw1Z+mMvmCND74bR6WejOHfvw2yWePZ8Rdi1FFi2rNcCMqDAUCQX8YlFeOgoICli5d+rXJ91/+8pcIZyUIJ8b502l/awOe5kbspcUYRoZnkhE7bzGWfbtoKz+Iu8OM2hAdkrhp086ltWQfZkslzc0FJCaeeRZN30StNpGUkEt9/V4qt7/L2FXfD6mI8//Zu+voOM6r8ePfmWWSVsxsZuY4DjucNEnDaZqmofZtU8ZfmeEtvW3Spm2gYXQ4sQOOmVm2LMkWWMzSMs38/lhLSRqS5F3NSno+5/gcW9qd53oFOzP3ufcCmJMzKDv7s7iaqjmx/Xl8XU10vP4CvTs3k7rynIHZdbGgKgrBzvboHDxA1usJdrSjhkKYktJJKZlDaukczCnZcb2wf++xs2eeQdb0lfi6mvG01+Npr8fb0YCvt5WI24U+2Tnw2M63X6d315boPMTMbIxZ2ZhO/n2kqzL/m6qqKD4vOuu7Q+Ub/3MfnmNHQVE++Pg+L/aayMDGAvvqkUnSFyy5DFdRbNfxn0LCUA2GCByOtqsdywlDx4RMJIMOxeUh3NqBITsjLuuYp0/AvX4H3uOVImEoCMInGq/XK3qjjvO/OY2Hv7iLpmd2kX3+TKz5o6tt4mC4q9toeGY3HW8fIRKObtTKnpzEys+VMf3cbHT6sV3lpoVIWGHbI7Ws/78KfD4Vowm+eLeDz95mw2AYPUmzUzVjlgGDAdydAbpOeEkrtH3ykxJAR62b5oo+ZJ1E+vKJWocz6jjnFNL0wn5qdib+HENVVWk41APAzNljM2HYr6hYz3+eSuPBf3n4429dVG5s597L32L19+cw64LhbfgcT6asyqJkYRrr/nSU7Y/V0rruMK5d1RTecTaZZ04ZVRsiRpuImGEoCMIpSLiEYUNDA2eeeSZtbW0AzJ07l5UrV7JmzZqPfZ7VauXcc88dgQiFeJAtJuynzce1bgs92zbGLWFoysol/ewLsJZNwhiOTbIQwGhLJmvm6bTse4O29kMiYXhSWcl5tHWW4+04QWfVLtInxS6B916O3AlMvfQrdFbvpHHXq4S6Ogm0Ng98Xg2H8dYew1pcNujKQzUSIdjegr+pEX/TCTxHy4l43JR+8yfozGYcdSpFcy9GXmjEmq5daxJJ1mFNz8eanj/Q+lUJB/F1t2DrtENn9CZXa10Lit+Pv74Gf33N+44hm8yUfPX76CzRnX6eY5VEPC4MySnIFiuy2YzObEEyGIf0//zvXdGB1iaCba2EeroI9XQT6u4k1NNNuKcLSW+g7Ds/G3i8ZNCDoqAzWbGm5mLNKMCeUYQtswiD9f0VfiP52jvq1JglDSM+L+GeLgAMhTlDfr7/yDEUfxhThh37hMyYxJSIZKMex6Qs+sqbCFTVxS9hOO1kwvA9M0MFQRA+zHi/Xpl8eiYTV2RQtamdY/euZ+bPLtc6pJhQFZXObcdoeGYPvftPDHy8aF4KK2+dwKTTMsTNzThprujluR8cpOlwtGpp0VIjP/lVMsUlCXe7Iu5MZolpMw3s3xOifl/3qEkYHjxZXZg8twhDskXjaEYf5+x8AFqrXHi6AthSTRpH9NF6W/x4uoLo9TBl2thOGALodBK33Gbn9DNMfPurvRzcH+LJb+7l6IY2Lv7edMyOsf8anAqTTc9F353O7AtzWfOjg7RWuaj45Su0rjvMxC+dJdoXx0l/S1KTqDAUBGEYEu43R3V1Na2trQP/3rt3L5df/skXoUVFRdTW1sYxMiHeHGctxbVuC56qIwS7OjCmpsdlndSVZwPgInrzP1ayZ56BNTUXZ/EsOB6M2XFHM5PJQWnBmVQff5XGnS/jLJqJ3hSfC0hJlkmftJiUkjl0Ve/GllFI5OTnvLXHaHzo78gmE5biCehsdmSTGdlkQjaasE+dMTATr+/AHnq2biDQ2oQaDr9vDdlgRr+/caC9qCNnQlz+L6dK1huxZRS+72OlZ32GQG87vv+aiRh0daJGwsjmd78uvTs24z5y8EMOLCObLZR+7QfIhuiFUftrz+P5rwSLGg6j+H0oAT8Tvv+rgUrAzvXrcJfv/9CY1UgE85EejDYnAEXTLkSedRkGa+LNYvQ3N9K7YzPp512Czjz8djT97Uh16SnobENvy+LdewSAtCVlCfcaxVrS9NxowrC6HvtpC+KyhnlaGUgSwbYWwq6+mLaeFQRhbBnv1yuSJHHBN6fxl20b6Np2nM4dNaQtKtE6rGGL+IK0rC2n8dk9+Bp7AJB1EtPPzWH5TSXkz3RqGt9YFgpEePtvVWx+4BiRCCQlSXzz+0lccbVlzJ/bfJx5C4zRhOHebuZekq91OINy6DXRjvRUGJKt2ErS8dR0ULOrixnnDn0z4UhpPFldOHGyHrN5/Pyclk008OizadzzZzf3/sXN/pcaqdvTxZW/nEPx/FStw0t4BbNTuPPJFWz69zHW/72a7l217Ln1fvKuWUzhNYuQjQl3e3pUExWGgiCcCvEbWUgYhuwMzDMn4T9YSc/2TWSef1nc11TCIWR9bHaE6YxmUkpmx+RYY0l+/lKamnfi9XXQsP15ildeE9f1dAbTQKUdJxPCoXo3eouDsM+F52j5B55jTM8cSBgqwQD+xnogmiC0pudhTcvHnlVCcv6UmH2/jDRZp8eSmoMl9f0Xn0o4SNDbh7keIPp6OczZkO0l6OkhEvQRCfpBVUBRUAP+91Vphnq6CL6nmvO/KcEAztZoUs1hyISsEoyOVEz2VIyOFIz2VEyOVIw2J5L87smsOTk+VWSnSlVV2h57GH9PK6bsXJyLVwz7WKfUjlRR8O07mTAcw+1I+yVNPTnH8Hh93NbQ2W0Yi3IJ1jbiPV5F0uz5cVtLEARhtMsotbP0+mI2P1jDsb+9TcqcglF3s8/X1EPjmr10vH6AgCe6ScycpGfhlYUsvrYYZ46okoqn1moXT3xtD23H3ACsvtDM936cREamuLk5b4GR+//hoX5ft9ahDEr7cTetVS50eom05Ym5oXI0cM4piCYMd3QmdsJwjM8v/DgGg8SXvuZgxekmvvnlHhpO+Pj3Z7ey6s5JrLp9ArI8fhKow6E3yKy6fSIzzsvhxZ+Vc2xbB3UPbaXtzQqmfGs1SdNEm9dYGZhhaBld52aCICSGhPvNsWrVKlQ1dlVfwuiSdM5y/Acr6d27jbRV56GzxOdCPeL30/HGy3jLDzH9im+hM8S25UdXgUJkzxHRmhSQZT1Tp1zB7r1/p7NqJ+lTlmLPLBrRGFLL5pFSOgdvRyOetloioQCRoB8lFCASCuD0pWA5mVw0WSZjO+MGrGn5mJLSYj53MdHIeiPmpPdX8+bOW/2+f6uqihIODrxm700uFkw6l3DhUuDkxZEEkqRDZ7KgN1owtBgHPpU7//3HHY0kScKROxF/TyuhnlO7idNfxWmeMPSfB+/uciI9fegdZpxzCk4pjtHAMTk6OzTU1IYaCkdb1saBeUopwdpGfCdqRcJQEISPJK5Xos64YyL7X27C3dBN3SPbKfnscq1D+kSqqtK7v4GGZ3fTtfUY/V/GtCIbS28oZu6l+aJ9V5ypqsqe5xp49RcH8PshPUPmR79I5uzzht+1Yawpmxj9Huxp9mkcyeAceLUJgOR5xRgc4us4XM45hTQ+t5fqrR1ah/Kxelv8AJSUjd/flfMWGFnzWjo/+2Efa5728dZfK2k40M2Vv5qDNdmodXgJL73Yzs33LeLQa8288tvDuBq72Xf3YxRcu4SiG5cg68XGkVOlhqP9tnTjaAawIAixM37f4YWEZJ45CUN+FqGGVnp3bSH1tLPiso5sMOCtriDk6aX9yGayZ50Zs2OHfG4OP/c7wn43C+fdhcORF7Njj1bJyUXk5S4mkuHAkpKtSQySJGPLKMCW8fHJFaM9hVR7yghFNTpIkoTOYPrQxLo1bfztAgz7XADok4Y/BzXY1RGdJSlJWJfMGdJzVVWl75V3AMi9dM6oq+gYDlOGA53VSMQbJNTSgbEgPr9HjCXRtl/9VcaCIAjCRzM7DFz03ek8/tU9NDyxHXtpOhmnJ2Y7QiUYpu3tChqe3YPnWPvAxyedlsHSG0qYsCx9XLfAHCkBb5gXfnKI/S9FuywsX2nkN390kpYubg6/l8US/V4M+yOf8EjtqarKwdeiCcPMM6ZoHM3o5pxTgKyX6Kzz0HXCS2rB0EcWjISgN1qRbbWO79+ZdofMr/7XyaKlRn783V4qN7bzt09v4vo/LSBnihht8EkkSWLm+blMWJ7BSz8/xP6Xm6h/ZBtdO44z5dsXYCtK0zrEUU06We2qJP7biCAICWhsl84Io44kSSSddxoA3ds2ovzXDLmYraPTkXr6uQC0HlxPJBSI2bENFjuO7DJQVSqOrkER79AATJ50KXkLzo95NacgjLSgpwc4tYRh375dAJinT0SfMrQLysDRGoI1DchGPXmXzh12DKOJJEnYSqKVsKHG1k949PD1JwyDLR+cYSoIgiB80PRzspl1QS5KWOXwT1+i5t+bUJXEqb50V7dR/X9vsfXqv3P0t6/jOdaOwSyz6OpCvvzC6dx0zyImLs8QycIR0HK0j3uu3sT+lxqRZbj7mw7ueyhVJAs/RP9cuEhYRYkkzs/Th2k52kdHjQe9SSZt2dhvkx9PepsJx8k2/FWb2z/h0doJ+qL3N8Z7wrDfp66y8viadAoKdfQ0+vjXDRs5eLLqVvhkliQDV/16Ltf8fh6WZAPuqjb23fkQJ57ahRpRtA5v9JKjt/sT6ZxMEITRQyQMhYRjWzoHnTOJiKsP14E9cVsnadY8DKnphP0e2g9viumxC5Zcis5oweVupKFxa0yPPZolH4smZlVVQYmIm/HC6BTy9AHDTxiqijKQMLQvnzfk5/dXF2afNx1jSmLuPI6H/l2mwcaWuK2hz0hFtllRIxECHzObUxAEQYiSJIkrfjGb5Z8pAaD+0e0c+sEawu7YbcYbqpDLT+Pze9l9x3/Yfcd/aFyzl7DLT1KWmXO/MoVvvHkWl/y/mWSU2jWLcTxRVZWdT9dz33Ub6ajxkJUt89ATadzxRbuY9/URTO/p6hkKJPbm0wOvRBMjzkVl6G1iY+ipSllQDED1lsRNGIb6E4Y2cTux39TpBp56KZ3lK434/fDEN/by+h8qEj7hn0hmnJfD/zy3kokrMggHFY7//R32ffUJvA1dWoc2Kr1bYSi+BwVBGDrxDi8kHEmvx3FudAZK96a3UJX47CqSdDrSVp0DQMvB9USC/pgd22BNIm/hhQAcr3sDv78nZsce7aS9x6h48S80712rdSiCMGSqqhD09gLDTxj66msI93QhmU1Y5k0b0nNDLR34DhwFCfKvHF8z9qz9FYYN8aswlCQJY0m0jbS/6UTc1hEEQRhLdHqZ878xjSt/ORu9UaZr23H2funREb3JF/GH6NhczeGfv8SOq++h+i9v4a5uQ6eXmHFeDjfdu5Cvrz2TlZ8rE/OlRlDAG+bp7+zn+R8dJBCAlWeYWPNaBgsWi6/Bx+mvMITEbkuqqioHXo1usBLtSGMj9WTC8Pj2TiKhxKyu6m9J2t86V4hyOmX+8WAqt95hA2Djv47xn7t24usNaRzZ6JGUaeamexZy2Y9mYrLp6StvYu/tD9LwzG5RKTdE0skKQ0W8boIgDINIGAoJyXHGYiSLiWBHG57Kw/FbZ+Y8DGkZRAJe2mJcZZg+eTH2rBKUcJCjVS+gquKNGiAQ6MPbXk/roXcIuDq1DkcQhiTsc4OqgCShtw9vNkV/daF14Uxk09BumLne3gZA6uJSLHnja9amrfhkwrApfglDEHMMBUEQhmvOxfnc+uBSkrLMeOu7OPg//6FrR03c1gv1eml5/RCHfrCG7Vf+H+U/fJ72t48SDipkT3Jw4ben8c23z+aa389j0opMZJ24uT2S2o65uPeazex/qRGdDr72bQf33p9CSqq4BfFJZFnCcPIUMRRIzKQRwIn9PfQ2+9BZDKQuLtE6nDHBPjELQ7KFgCdM/f5urcP5UP0tSS2iJekH6HQSX/9uEr//Pydmc7S17L3XbqK12qV1aKOGJEksuLKQ/1mzkrIl6YQDCsfuWc/+rz2BrzExfyYSkXTynEcVFYaCIAyDOFsXEpJsMeM4YwkAXZvejts60SrD6CzDtuqtqDGcNyhJMoUrrkKSdXR2VtDeUR6zY49m6elTSXGWoUbCNOx4SetwBGFI9GY7xXd/l4LPfRFJN/SZO0owiLt8HzD0dqRKMIRn024Aci+aPeS1RztbcbQlabitEyUQjNs6pv6EYYNIGAqCIAxV/kwndz6xnMI5KfhdYQ5971lq/r0Jd3XbKVcHKMEwfUeaOfH0LvZ99Qm2XnUPR3/7Op1bjhHyKzhzLSy9vpg7n1jBF545jaU3lGBLEZVsWtj7QgP3XbOR9uNuMrNkHnw8jc/fJVqQDkV/lWEogSsM+9uRpi2fgM5k0DiasUGSJVLmFQFQnaBzDIPe6PekzSZ+nj/KhZdYeOy5dHLzdXTWe/nX9Rs5/Gb8xiqMRc4cCzfft4hLfzgTo1VH78FG9t7xIA3P7RGzDQejvyWpqDAUBGEY9FoHIAgfxXHucvrWbsJfX4OvrgZLUXx2LTpmziXc203SvMVInUNPAHwcizOL7NlnEnB14UwujumxRytJkpg44UJ27P4LPbUHcDVX48iZoHVYgjAokixjTE2H1PRhPd9dcQglEECXnoJpUvGQnuvdcQDF48OUlUTqwqE9dywwOK0Yki2Een2EmtswFefHZR1TaSEAwfZWIj4fOoslLusIgiCMVY50M7f8ezEv/aKcXU+foP7R7dQ/uh29w4xzdj7O2QU45xZiLUpDkj78hrMSiuCp6cBV2YLraCvuyha8dR0o4fff+MqZksTUM7OYemYW2ZOTPvJ4wsgI+SO8/Kvo1x1g2Qojv/2zk7T02F5jjQdmk4QLlXCCVhgqEZVDr4t2pPGQsrCYtrcrqN7SwTlf1jqaDwr6REvSwZg63cAzL6Vz913dbN8S5NEv7+bs/5nE6bdNEO9VgyRJEguvKmTCsnSe+8EBjm/v5Nhf36btrQomf/VcbCXDuyYfD/pbkooKQ0EQhkMkDIWEpXcmYV82D/eGnXRteou8os/FZR1JlkldeTYALjs46mL7hpoz9zwkScIHGI8FYnrs0cpuzyYvZxGNTds5sW0NUy/96sAJjSCMZf3tSO3L5g75e971VrQdae6Fs5B04+/nRZIkrMXp9O4/QaihNW4JQ53TgT4rjXBrJ74TNdgnDW3OpCAIggB6o45LfziT4gVpHHi5kdpdXQRdfjo2VdOxqRqIbgQxpdtRgmEigTBKIIwSjP5Rwx+eJLGlGsmbnszE5RlMOSOLlDzrSP63hI/R1eDl0S/vpuVoH5IEX7jbzp1fsqMTrWCHxXSywjAcSMwKw5pdnbg7A+gd5oGKOCE2UuZFN681HenF7w5htidO9aaqqoRES9JBS0mV+dfDqfz6p338534vb/ylkrZjbj71s1nojWIjxWCl5Fm5+b7F7HyynrV/qMB1pJm9dz5E/rVLKLphybi8Nv4kUn+FoUgYCoIwDCJhKCS0pPNX4t64C8/RcgItTZiyc+O6nqqq+HvbMSdnxOyY79091lNqxHKkHZMpOWbHH61KS86hpeMAvq5mehsqcBaKm/JC4juxbQ3hKhPOxSvQO4Y2wzDQ2oz32FEAbENsR+o7WEnw+AkkvUz2+TOG9NyxxFaUGk0YNrXFdR3ThCLCrZ0EGk+IhKEgCMIwSZLEnIvymHNRHpGQQmN5L8d3dFKzs5P6vV2EeryEerwf+XxLkoHc6cnkz0gmb7qT3OnJJGebRWVGAmo42MOTX9xKV6dCaprM7/7sZNlpJq3DGtX6O99Hwol5s/fAy9F2pBmnTUQ2iMRHLJnSHZhznfibeqjd1cWUVVlahzRACauoJ78lDUbxu3gw9HqJ7/04mQmTDPz0//Vy4JUmPF1BrvvzfExWcUt2sGRZYvE1RUxZlclLvyjnyFut1P1nKz0HGpj2vQsxptq0DjGhyCcT0onc1loQhMQl3p2EhGbIycC6cCbeHQfoXL+W3GtujttaSsBP0+MP4Ks9xvQrvo3JkRrT44cDXuo2PoG3uY7FC7+MwTC+d0QbDFZyM+dzomETPbUHRMJwjFFVBVVRUCNhJFmHrI/ujFUiYcJ+D7JOhyTrkXR6JFk3Km7+hbx9tFVsgUgE+7SZQ04Ydr79Gqgq1gUzMWQNvn2KGonQ/fjLAOReOhdjyshcDEUCITq3HMPf0kvWOdMwpTtGZN2PY851AhDuiO/Ae0NuJgDBzsScHSMIgjDa6AwyhXNSKJyTwqrbJhAOKTQd6sHvDqM36TCYZQwmHXqzDoNJxmDWYUk2jIrzg/GuYn0rT399F34/TJ2u555/p5KdIxJIp6q7K1pla3UmTnVZv1AgQvm6k+1Iz5qqcTRjU8q8Qpqbeji2tSOhEoY6g4zBLBPyK7j7FJxOUdk1WFdfb6WwSMcXPt/NsW0d3P+57dx0z0KsTjFrdyiSsy1c96f5HHilied/fJDe/SfYfcd/mPrdC3HOKdA6vIQRvXZvprfFr3UogiCMQiJhKCS85EvOxLvzIO7DBwi0NmHKik+VoWQ0oSoqaiRC466XKT3jxpgeX9bp8fe0EQy6qDj6HDOmXzfub4Lk5y3BNHUySfmTtQ5lzFGVCAF3NwazHZ3RDIC3s5GOyh0ooQBKOEgkFEAJBVGUMGokTO7cc3EWzwSgr+Eox99+6OTRJDj5vSpJ0YvCvAUXkD55MQDu1hqqXr8PVHUgUYj6biuxvIUXkT3rDAD8Pa0cWfO/H4hXknXoTFaypq8ke/aZAESCfjqrd2GwJuPIKUNv0jbJ3n50G0QimAuKMecO7WLE33QC9+GDIEkkX372kJ7r3rCLUGMreoeZohuWDOm5Q6UqKr2HGmldV077O5VEvEEAGh/bSv5NK8i7bC6yXrubgOasaHV23BOG2dGEbrBDJAwFQRDiQW+QKZwb2815wsjb8UQdL/38EIoCp60y8Ye/ObHbRQLhVAWDKn190TIue1riVWpWbWzH7wpjyrCTPDM+LeLHu5T5xTS/dIDqrR1ah/IBZoeBkD8w8D0qDN7SFSYefDyVz9/URcPBHv75ma3c/I/FJGWZtQ5tVJEkidkX5pE7NZnHvrqbtmo3B775JEU3r6DwmkUD7TjHM1NWdLNvT7NP40gEQRiNRMJQSHjG/GysC2bg3XmQzvXryL36M3FZR5IkMlZfQv29/0v38X14pq/Elhm7eQyy3kjxqus4+uJfaO8op7FpO/l58b35n+gsllQKQ6n0ymIX8qkIB7x01xzA23GCQF8HAVcXQU83qCqlZ95ESslsAIKuLtoPb/rI44T87nf/IUUTdh8lEnrPPE5VRQl99HxOU0eA5JPzO6U+f/TgvP8CU1UihH0u1PckGoPubk5sfQ6I/vykT15C1szTMdqcH7lWvCiRMB0VWwFwLl4x5Od3vvkaALYlszHmDX6XsOL10/PsWgCKb1qKwRGfi0lvQzetbxym7Y3D+Fv6Bj7uzLNgTTbSdLiX4/e+Q+tr5Uz88lma3RwyZ0erOsPtXXFdR3+yAjTU1Y6qquN+c4cgCIIgvJeqqqz701E2/PMYAFdcbeFHv0jGYBDvl7HQ1Rk9H5b1EuakxKsw3P9yIwAZZ0wRN+bjJGVuAZIM7cfd9Lb4SM62aB3SAEuSAVd7gL7eD581K3y8mbONPPxUGp+7oYvWY27+ceMWbr5vMelFoqXmUGWU2rnj0eW88LND7Huhkdp/b6J3/wmmfPv8EevKk6jMmdHr5p4mkTAUBGHoRMJQGBWSLznr3SrDthZMmdlxWceck0fSnAX07d3Jie0vMPmiL8b0RrEtvYC8hRfSsP0Fqo6/QnJSIQ5HfOcyjhaRUABViWheRTba9NQd4vhbD6EqH+xNL8sGjA0ukpVosk7vTSFcuAqdzoReZ0R38o8s65FkPbZIJuaTiT17JJfURV+JHujkoAoVdeDvRp0d48BjM0lZ9LXoz4okISEjy7rocSUd8nsSwklJ+Zy56ueoqoKihFGUCKoaJqKECYe8GAz2gRj0njAZ6dPxeNvwettpK99A+5HNpE6YT/bMMzA7M+Pzon6I7uP7CHn70NkdOKbNGtJzffW1eKqOgCyTfOnQqgt7X3obxeXBUpBCzsWzh/TcwVBVldr7N1P/6PaBj5lseqafl8vsi/MpnBet/tj3/AnW/e9hPLUd7PvKE2SdN53SW1diTBnZn1dLTrTCUHF5UPwBZHN8dt3rM9NAklD8fiIeN3q79u1YBUEQBCERhEMKz31/P/tPzrD74lfsfOFuu9hcE0OdHdFEjC3FiJxgCbmAJ8zRd6KzpLPOFO1I40VvN2OflIOropnqrR3MvzxxWi2aHdEkdq9IGA7bhEkGHn02jVuu76KuxsfDN2/gmnuXkz15aCMvBDBa9Vzx89mULEjjpV8cont3Hbtue4ip376AlPmxKwAYbUxZImEoCMLwiYShMCoYC05WGe46RNf6teR8+qa4rZV21vm4Du3H01ZLT+2BgeqsWMmcvhJXUzW9Jw5TfvhxFsz/Anp94rWaGUmBrbuoOP4iKcWzKFx+hdbhJCxVUXA1VyPp9DiySwGwZRSiqgp2ew7paVOwWNKif8wpGI2O9928sVkzKCs9d1Br6XRGbNaMQT7WgNWaNqT/iyTJJxOW7/mgOeV9j7HZMpk543pUVaWru4q6+nfo6amhs3IHnZU7mXLJl7BlFA5p3eFQVZXWg+sBSFlyGpJ+aG+dnW+9CoB9xbyBVpeDEWrvwrUuWhFadvvpMW8FqkYUqv7yFs0v7QdgwvIM5lxawORVWRgt7/8/zru8kClnZPPGH4+w+5l6Wl8vp3dLJYW3nUHO+TNjGtfH0dvN6O0mwu4A4Y5ujPnx2TwiGw3oUpOJdPYQ6mwXCUNBEARBAPyuEI/evZvj2zvR6+HHv0rmik+LzX6x1tUZ3QhoS028a8TKDW2EgwqWvBRsZYO7VhCGJ2VBUTRhuCWxEoaWk1WvLtGS9JTk5et55Ok0br2xi4rDYR767CauvWcpBbNTPvnJwvtIksT8TxVQMNvJE1/fS2uVi4PffpqCaxdT/JllSLrx1yrb3J8wFC1JBUEYhvH3W1MYtZIvPQsAV/l+Am0tcVvHkOQkZfkqABp2vowSCcf0+JIkUbzyGgy2ZLy+DiqrXozp8Ucjg9FG2O+mo3I7QXd8Z5ONRqqq0HVsL+XP/oaq1/5O895oi8rkYwHSm00sXfR1Fi34H0pLziEnex7O5CJMpqQxs9NbkiTSUicxb87nmT/3DtLTpmJOycKaPjJtMfsaj+LrbkYyGkleuGxIz/XWVOM9XgU6HcmXnDWk5/Y89RpqKIJzbiGpi0uH9NxPooQiHPnVKzS/tB9Jgot/MIsb713CzPPzPpAs7Gd1GrnkR7O59eEV5ExNwu8KUfn7tXTtqIlpbJ/EnD1ScwyjN8GCnWKOoSAIgiD0tfq576atHN/eidUmcc/9qSJZGCcd7dHKLXuaUeNIPqj8jeh1ePppE8fMtUai6q+OOratA0VJnORcf5tcUWF46tIzdDz0RBpz5xvo61P5z+e3cmxb4s2tHC0yyxzc/uhyFlxZgKpC/aPb2fe1Jwm0u7QObcT1Jwy93UGC3tje0xQEYewTCUNh1DAW5GCdPx1Ula531sV1rdTlZ6CzO1CNclwSWHqzjdJVN2B0pA05ATEWpThLcTpLUJUILQfe0jqchKGqKj11hzjy3P9Ss/5hAr3t6PVmkkglqfrdnWIWy/jZhZicXMismTeyeMYdOI+HgOjrFAnGb+ecOTmT5IXLSFl8GjrL4G+MqapKx5snqwtPX4g+ffBfJ39VLd4dB0CCsjtXxfSGTMQfovyHz9P+9lF0eokrfzOPBVcNvl1LwewUPv/oacy7IlrdWfPAZlR15G5iDCQM4z7HMFo1KxKGgiAIwnjXWu3i79dvprXKRUaGzMNPpXHa6YlX/TZW9M8wTLQKw1AgQuWGaDvS9BUTNY5m7EuamoPOYsDbHaSlou+TnzBCLEnRzYVihmFsJCXL/OuRVJadZsTrVXn4ru0ceSt+G+THOqNFx2U/msWnfzMXk01P36FG9t9xPx2bq7UObUTp7WZ01uimE1FlKAjCUImEoTCqDFQZHtpHsKMtbuvIJhP5N99J8Re+QWhWfOak2bNLmXHlt7BnldBbllgXg1ooKYp+bTuOiipDAFdzNRUv/Iljb9yPr7sZndFMSfHZLFvyLSZPuhRJGt+/vnW66Mmv4VATla/cw7E3H4pb0io4I42si68k/ZwLh/Q8b3UF/voaJIOe5IvPHPTzVFWl+7GXAchePRN7aezaPYXdfg58+xm6dtRgMMtc+5dFzFidN+Tj6PQyZ39pCkarDndlK50jeAFmzonulox/hWG0fWxIJAwFQRCEcax2dxcP3rSR3hY/JWU6HluTxrQZBq3DGtM6OxOzwrB6SwdBXwRThgPH5CytwxnzZL0O55xoK9LqrYlTdWYWLUljzmqVufffqZyz2kQoCI9/ZTf7XmzQOqxRbdYFudz11ApypyXj641umD36u9cJe4NahzZiRFtSQRCGa3zfcRZGHWNhLpY5U0FV6XznjbiuZcrMHvKssqGS5HdnkrlcTYTD/riul8hSUt6tMmyv2Kp1OJpSwiHayjfh62pC1hspKjydZQu/TknxmeN+3uV/U1UFd8sxXE2VeNrrY35sVYkM67lKKET769F2w46zlqJPGfwAe8/mPQSPn0A26yn57PJhrf9h+o40s/vOh+k71IjZoefGvy9h4orhb4iwpZpYckO0VWrdo9tjFeYnGrGWpFnRhGGwM3Fu0AiCIAjCSDq+o5P/3LaVvj6VOfMNPPpsOvkF8b0+EqCjLTErDA+LdqQjLmV+MQDVWxJnA1v/DMOeblFhGEtGk8Qf/pbCpVdYiETgme/uZ/8rjVqHNaqlFdq47eGlrPhsKZIELa8dYt/djxPocGsd2ogwZ0fvQXTWejSORBCE0UYkDIVRZ6DK8MBuAi3xP4FSIxHqTqzH3VYXtzW6aw+wa9+9HD7yFKo6fk+8s7PmAuCJ42s9Gsh6A2Vn38zC+V9k2aKvUVZ6HgaDmBHzYbq7jwGgM1owJ6XH9NgtB97m8Jv3EOoZemKq881XCba1ICfZSbpw1aCfF+7soeexFwAoum4JxlTbkNf+MO0bKtn/lcfwN/fizLVw87+XUTQv7ZSPu+SGEmS9hLuyFW99Zwwi/WSGJAsAitsb13V0zugFVsQzPi4oBUEQBOG96vZ08fgXtxMIwMozTNz/aBopKeL2wUg4fiw6byqtMHHO/8MhhSNvn0wYinakIyZlQXRsQN2ebgIJMocsOTt6Lt7YOLyNlcJH0+slfvn7ZK6+3oqqwnPf3cfRDfHrrDUe6I06Vn9tKrfcvwR7mgnP8Xb2fulRPHUjc+2qpeQZ+QAcebtV40gEQRhtxBm/MOqYSvKxLpoFqkr72pfivl7n+rV0rH2R+s1PDbva6JMYbU4AOjqPcLwmvvMZE5nDEW2N6O1sGNGZaInKbsvCaHRoHUbCCgbdHKuL/rzkzl+N3hyb5BqAu7WGpj2v4a+vwVsztHab3ppqure+A0DaLVegcwwuLlVV6fz3M0Q8ARxTcyi4euGQ4/4wXbtrOfqLl1DCKtPOyeGOp04nZ0pyTI5tSzExYVm0ZWrb2xUxOeYn0duiu+0VX3wrsuWTX7eI1yN+HwmCIAjjSsPBHh69axter8qy04z85e8pWCyiomwkKIrK8epoYiij1K5xNO86vr0Df18YY6qN5Om5WoczbljyUjBnJxMJKdTsSIwER38iu75WJAzjQZYlfvjzJC66zEw4DE99dSf1e+M7u308KFmQxm0PLyOtyEagzUX5Vx+ht3xsV3Cmr5wEQM3OTtydAY2jEQRhNBEJQ2FUcl55Huh0eKuP4j1WGde1Upachmyx4utqprV8Q1zWsGUUUrT8KgDq6t+hsWnk2vslEps1k8kTL2Xi6tuB8XmDPux3E3CJC4LBqKl9k0jQhyU1l4wpy2J23HDAS83bj4Ci4Jg1j6Q5Cwb93IjfT8tzj4GqYl+5EOucqYN+rvvt7fjLq5BNeqZ8azWS7tTfonsPN1HxozVEwirTz83hqt/OH2gjFCszL4gm+tveqhiRxJrefjJh6I1zwtB+cle/oqAExm+7aEEQBGF8aTrSy6O3b8HjVlm4xMhf/5mKySyShSOlqTGC16ui00ukFcZuM9ypKl/bX104ISbnqMLgSJJEyoJiAKo2J0Zb0tSC6Pdld5eCq2/8dkeKJ1mW+OXvnaw8w4TfD49/YRutVS6twxr1Ugus3PafpeTPdOLrDXHom0/SsXlom4NHE0tOMo7J2ajKuy2lBUEQBkOc6QmjkiEzDceZiwFoX/sSqhK/E1WdzU7GeRcD0LR3bdySOWkTF5Az91wAjla9QEfHyFTrJBJZ1pGXtxhbRiGSND5/PXVU7uDQkz+n5dUntQ4lofl8XTQ27wSgYMmlSHJsvl9UVaVu05MEPd0YUtPIuvjKIc1oaX91DeGebvQZqaRce9Ggnxdq7aDnyWjFdMmtp2HNTx1y7P/NU9PB0e8/TcgXoWxZBp/61TxkXexv+E0+IxuDRYevsQfX0fi3O9GdrDBU411haDQgGaPJ1Yg3vu1PBUEQBCERtFa7eOz2LfT1qcydb+De+0Vl4Ug7VhWtLkwvsaMzJMb1UCSkcPjNkwnDkxUrwshJXVgMQHWCJAxNNj22VCMA9XWiyjBeDAaJP97jZM58A319Kg/cvp3uRnFNcqpsqSZu+ddiJp+eSTigcPjHz9P04n6tw4qbjJO/sw++3qxxJIIgjCaJcQYqCMOQfPGZSGYTgeYGXIf2xnWtpDkLsRSVooaCnNj2XNyqaHLmnkvapEWgqhyqeJy+vhNxWUdIXL0N0USxzZapcSSJrae3DkmSSMqbhCNnQsyO235kCz21B0GnI+eqm5BN5kE/133kEH17d4AkkXbrVcgW06CepyoKnf98CsUfxjmngLxL5w43/AG+ph4OfPtpfH0hCmancM0fFqCP000nk1XPlFXZALS9dSQua7zXuy1JA3GvaOyvMox4xRxDQRAEYWzrqPNw/63b6e5SmDHLwD8eTMVmE7cLRlp1ZeK1I63Z1YWvN4TBacE5M1/rcMYd59xCZL1EZ72XznqP1uEA0UotgBN1iTFXcayyWmXuvT+ViZP0uNoCPPD57aK1ZAwYrXqu+9N85l9RgKpA1Z/eoOb+zWNyDEXG6dGEYe2uTtwd4ntHEITBEVcAwqilS7KTfMHpAHS88SpKOH4nq5Isk3nxlSDL9NYfpqfuUHzWkSSKll9JUt5klHCQWk98E6GJKBh0016xldZD8Wn/msiUSBhPWx0AKc4yjaNJbNblS5h+5bcoWPqpmB3T19NKw84XAMg45yLMeQWDfm7Y7aLlpScASDp/JebJJYN+bt9rGwlU1aGzGpn8jdVI8qnt5A90ujnwracJdnrImujg+r8uwmjVn9IxP8nMC6KzbNrXH0WNxLc1UX/CEEVBDQTjulZ/wlARFYaCIAjCGNbd5OX+z23D3RFg8lQ9/3w4FUeSuFWghaqTCcPMCYkzx7x8bbQyJX35RNGOVAN6qxHHtOgIgOotiVFl2N8ut07MMYw7p1Pmnw+nkpuvo7Pey0N37sDvDmkd1qin08tc9qOZnHnXRADqH9lG5e9eRwmPre9pc3YyjinRtqTloi2pIAiDJM72hFHNcd4KdM4kwj1d9O7YHNe1TJnZpC4/A4CGHS/ErQ2qJOsoPfMm8hZdROGyK+KyRiLzB3qp3/w0zfvWjckdXh/H216PGgljMNiwWjO0DifhmRxpmJNj+DqpKoa0DKwTJuNcunIIT1NpfeFJFJcHQ342zsvPGfRzg42t9D63FoCyO1dhzkoactjvFerzcfBbz+Bv7iUl38qNf1+CJdl4SsccjLLlmViSDAS7PPTsj29ltGzWw8mkqhLntqQ6R/RmSMSXGLu5BUEQBCHW+lr9/PuW7fS2+CmdoOPfj6TidIrbBFrpb0maNSExKgyViPqedqQTNY5m/OpvS1q1KTEShqknE4b1osJwRGRl6/jXw6mkpsk0He7jkS/tJhQYW4ktLUiSxJl3TeLSH81EkqHl9XLKf/A8EV98N6WOtP62pIfWirakgiAMjrgSEEY12WQk+fKzAejcuI6IzxfX9VJPPwfHrHnkfObWmM1M+zA6o5nsmWcgyTK9ZSZUVUVRxsfJuN2WhSTpiAS8BN3dWoczolwtxwFwOkuGNDdvPHG7m2lOjs+FcnhODkW3f4WcK28Y0uvft28Xnopy0OlIv+3TSIbBVfOp4Qid/3gSNRQhdXEp2atnDDd0ACKBEIe+/xye2g4cGSZu+scSHBmDb6l6KvQGmWnn5gDQ9lZ8569KkvRuW1JvnOcY2k62JPWIhKEgCIIw9rg7A9x/6za6G7wUFOq4/9E00tJ1Woc1bimKOpAwTJSWpLW7u/B0BdE7zDhnD777hhBbqQuj3UuOb+8kHIpvN4/B6G9JKmYYjpySUn20VbRdomZHJ099ax9KZHxtsI6XhVcWcv2fF2Awy3TtqGH/154k2D12OsxknD4ZEG1JBUEYPJEwFEY9+4r5GHIzUTxeuja+Ede1ZKORnCtvwJSZjatoZBI6SiTM/oZnOVT+GIoy9k/IZVmPzZYFgLezUeNoRpa7tQYAZ3KRxpEkpmDQzeGKZzjy/B9or9gas+OGfK6Bn2dJr0dntQ0+pq5O2l57DgDn5edgLMwd9HN71rxBsK4RvcPMpK+ec0pJYlVRqfzDOvoON2NJMnDj35eQWjD4/0cszLog2iqpfWMVSjC+GxxGKmH4boXh2LlgFARBEASAgDfMg7fvoL3GQ06uzP2PpZKVLZKFWmpqiOD1qugM8kDLR62Vr+tvRzoBWS++P7RiK83AkGIl6ItQt6dL63BIK4wmDGuPj49NzYlixiwDf70vBYMRDr/Rwiu/Ltc6pDFjyqosbvn3EqxOA67KVvbd/Rih3vgWJIwUc1bSQFvSA682aR2OIAijgEgYCqOepNPhvGo1AN3bNhDq7hyxtT0dJ1Ai8T1J9ne30F27n47OIxw49B/C4bG9I0hVVcKh6M35eFZxJiK9KXrh1dfXoHEkiaevr4Gdu/+K292EzmgmOX9KTI7r7Wzk0LO/pmvD0DcbRPw+mh75J6rPj7G0gKTzTxv8ursO0ffS2wBMuvtsTGmntov8+H0baHvjCLJO4qrfzSdr4qm1Nh2OwvlpWJIMRDwBPHXx/T0sm6JVnGoovvM7JFO0nasSHFttaQRBEITxTVVVnv3+fpor+khLl7n/sTTyC+I771j4ZHt3R89rsic50Bm0vw5SIirl6/rbkU7SOJrxTZIlUhcUA1C1Ufu2pBmldiQJ2tsUOjvG/qbmRLJkuYnf/dkJwLZH69j30vjaZB1PBbNSuO3hZThzLfgaezjyy1dQI9pX9MZC9rnTAXjrb5X0tcZ3060gCKOf9mehghADljlTMU8tg3CE9nUvj8iaXRveoOKFP9G0+9W4rmNNz6fsrJuRdAa6uirZs/cfBAK9cV1TSy5XI/5AD7LeSFLu+JqTkbfgAjKnryRn9dVah5JQmpt3s3t/9PvelJzBlIu/hNGecsrH9fe0UrnuHyh+H57KI6jhwSf/1UiE5if/Q7C9FZ0ziYz/uRFJN7hd18ETLXT+8wkA8q6YP9AiZLhOPLGThqd2AXDpj2dTtlSb+ZeyLJExwQGAN84Jw35xb90r9x9ftPsRBEEQxo537jtG+doWDAb4yz9SKC4RycJEsGNbdGNo8YJUjSOJqtvbhbsjgN5uImVuodbhjHupi6JtSSs3tmkcCZjtBtJLohse9++N7wY+4YPOu8DCXV+Ovv4v/3g/rdUujSMaO9KL7dzwl2h70u5dtdQ+uEXrkGIi58JZOKZk43eFef4nB1FVcX0rCMJHEwlDYUyQJImUay8EScJ9aB++upq4r2nMzAFVpfXQO/Q1VcV1reSCqUy+8C70FgduTzO7dt+Dyz02Bxa3d0TbaiQXTEXWGzWOZmQZ7SkULLkUncFEb5lJ63A0F4mEOHL0WY4cfQY1Eia5cDpTL/kyZmfWKR874Oqi8rW/E/G4MeXkk3vDrUj6wd8sa3/9BbzVFUhGAxl334Q+ZXAVfRG3l/Y/P4TiD+GcW0jZbSuH+18AoOW1Qxy/bwMA535tGnMu1Xa2TGZZNGHoqR25Su+46k9IigsqQRAEYYyo3NjGm385CsD/+2ky8xaMr/PtRLZze7SjQcnCNI0jiSpfG73eTFs+Adkg2pFqLWVBMbJOou2Ym+5G7dvl589yAnBgn0gYauELd9tZdpoRn0/lsbt343eLr0OsZE9O4tIfzQKg/tHtdGyu1jiiUyfpZCZ//Tx0Bpmj77Sx/2XRmlQQhI8mEobCmGEszMV+2gIA2l97HlWJb+sA+5TpJC9YCqpK7TuPEQ7E96TdllHIlIu/hNmZRSDYx+79/6CzK76JSi14vNEWK87imRpHoi1VVTjS+zZd3aP/5HS4unuO0dy8C5DImXceZWffjM5oOeXjhrx9VL16LyFPL8aMLPJuug2defDH7dm5hZ5tGwFI+/ynMRXnD+p5aiRCxz2PEW7vwpydzLTvX4SkG/7bcMeWair/93UAln+2jOU3lw37WLGSUdZfYdgR34VGKIEniYShIAiCMIZ01ntY861dqCpcfb2VT19n1Tok4aS21gi1xyNIEhTN077CUFHebUeacZpoR5oIDA4zjmnReemVCdCWtGCmE4ADe0Xrfi3odBK/+7OT7ByZjloPz/3ggKgai6E5F+Wx5LpiAKp/+zLeBu1nh54qW3E6BTcsBeDlX5bj7hjb444EQRg+kTAUxhTnp85FMhvxN9bjOrg37utlrL4EQ1oGIW8v9ZufjvsJmsmRyuSLvog9pwxVieAvPLW5Z4mo6NLPMf3Kb5NcME3rUDTVfmQLzXvXcfDIYwNJ1PGkt8yEYdFssueczcTzbyN37rlI0qm/ZYV8LipfvZeAqxNDSip5n7kdvW3wP0fe41W0vfIsEP19Y1s4+MR2z1Ov4S+vQjbrmf6TSzEkDz/52XOggaM/fxFVgbmXFXDOV6YO+1ixlDlhbFYYiotvQRAEYbQLeMM88qVd9PWpzJlv4Hs/Gvl5x8JH23WyujB7chKWJIPG0UD93m5c7QF0NhMp84u0Dkc4KZHakvZXGB48EEJRxLmyFlLTdPzxnhQMBihf28LWh2u1DmlMWf2NqRTNSyHgDlP+oxeI+EZ/crzg6oXYyzLw9YZ48ReHtA5HEIQEJRKGwpiiczpIvvAMADrWvYwSjO8bumw0kXPlDSDLdNfsp6t6d1zXA9CbrEw87zYmXXAX9qzigdaVY+mGtjk5A51hfLfkTJ+0GFtmEZGgjwMHHyIU0r7tTLxFIkGqql+mI+fdnW55888nKTd2u5r7Girw97SiT0om7zN3YkhyDvq5wc52mp56ACIK1iVzSLr4jEE/171lL32vRasSp3zzfOylw58z6D7WxtEfPkM4oDB5VRYX/3BW/Gf5DVJ/wjDQ0kvEPwJtcUZqhuEY+v0qCIIgjD+qqvLs9/fTVu0mI0PmT/ekYDQlxrmDENXfjjRR5hceej3ajjR9WZloR5pAUhdGE4Y1OzoJh+LbUemTZE10YDDLuPpUao9HNI1lPJszz8g3vx/dALL294ep2zP6K+EShd4gc83v52FPN+Gt7eTo714f9ffdZL2OSV8/D1knUb62hfJ1Y3PUkSAIp0YkDIUxx3HeCnSpyYT7euje+k7c1zPnFZB2xmoA6rc/S8jbF/c1ZZ0ee+a7Oz0b7c3s2ft3PJ7WuK8dT5HI6N+xFSuy3kDZ2Z/FaE/B5+vkYPkjKEpY67DixuNpZdfuv3GiYTM17zwatxNx49mLyLzkKvJv+QLG1MHPh4l4PTQ+/E8Ujw9jaQHpt1wx6CRdoLaB7geeAaDwusVkrBx+AtTf2sfB7zyL3xWmaF4qV/12Pjp94ryV29NMWFOMqCp468fAxepAS1Jtb8gIgiAIwqnY+O/jlK9twWCAP/09haxskQBKNDu3nZxfuED7+YWKonL4zWg70vRTOG8VYs9WmoHBaSXoi1C/V9tzbZ1eJndaMgD7RVtSTd1ws5ULLjETDsPjX9+Du1O0mowVR4aZa/93HrJeov2dShqeiX+RQLw5JmaRf/UiAF78WTneHvHzKwjC+yXOXUZBiBHZaCDlqvMB6Nr0JmFX/BN4qaediXXCFDJWX4re4oj7eu+lqioN21+gt6+eHbv/j9q6t1GU0bfDz+NpY8OWn3H8rYdG/a6tWDFYHEw453PIBhM9PTUcrXxhzL02qqrQ0LiVnXvvweNtQ29xkDP77JhWzAU9PYQDXlxF0WM6FyzFmJo+6OdH/H4aHvoHoc52dKnJZH7pJiTj4FpFRfrctP/5PyjBMKmLSyn+zLJh/R8AQi4/B7/zDMEuD1kTHVz7l0UYzIl3wy+zrL8taZznGI6A/ja4Y+3nThAEQRg/qja3s+6PFQB878dJzFtg1Dgi4b91dUaoropuDCyar32FYeOhHvpa/eisRlJHaTtSV2UrzS8foOHp3dQ9vI3j922g6i9vUvGb1zj8kxfpOdCgdYjDIskSKQuiX5Oqzdqfa+f3zzHcNwKdRYSPJEkSP/11MmUT9LjaAjzxjb1EwmLDY6wUzUvlgm9GR+bU3reBnn0nNI7o1BXdsARrYSruzgCv/Pqw1uEIgpBgRMJQGJOsS2ZjLC1ADQTpePOVuK8nyTJ5N36e5PlLcBeP7I+VJEmUnnUTyQVTUZUIx2vWsWvP3+hzNY5oHKeqrf0gaiRMJBRImPaKicCSmkPpGTeCJNHcsovKqhcIBt1ah3XKVFWlp6eWffvvp7LqRZRwEEfuRKZd/jUcuRNitk6gr4OjL/+Virf+QcTnG/LzlWCQpkf/RaDpBLLDRtbXP4fOObhNAUowRPuf/0OkqxdLfgpTv3MBkm54vx8igRDlP3web30XSVlmrv/b4oSYb/NhMk4mDL11IzDHMN6/KiTRklQQBEEYvbpOeFnzzZ2oKlx1jYWrr7dqHZLwIfrbkWZNdGBL0T6he/jNaNea1EUlyEa9xtEMnaqoVPzmVSr/sI5j966n9oHNnHhiJ03P76N1bTldu2qxFWmfmB2u1AXFAFRv1n7OfcGsFEBUGCYCm03mz393YrVK1Ozo5O17qrQOaUxZfG0Rsy/KQ4moVP9iDYGO0X1PRjbqmfz185Ak2PdiI0feHt3dygRBiC2RMBTGJEmSSLn2IgD69uzAV187Imv268nw4u1sivua/Yw2J2XnfI7i069DZ7Tgdjeza8/fqKx6gXDYP2JxDFd7ezm19esBSCmZrW0wCSi5YCoFiy8FoLFpO5u2/or9Bx6kte0Akcjo3M3Z2VnBnn3/oLvnGJLOQMGSy5i4+jYMMazQ7W2o4PCLfyTo6kLxe1GCQ2vNEvH5aHjo7/hqjyGZTWR+7bMYcjMH9Vw1HKHjr48QqK5DZzMx4yeXorcPby6nEgxT/oPn6T3QgMmu54a/LSY52zKsY42EtCIbAP7m3ritoUZO7piV43wao/TvzBWbGARBEITRRVFUnv1/++ntVZk918D/+2my2JSXoLZtTpz5haqqcviNk+1Il8duE1+8qaqKqkQ3eEmyxMQvnoV5ahnWJbOxn74Ix3krSL74TJxXrSb189fQ6Hq3cvL4fRvoOzJ65nilzC8GoLmiD1eHttf6+bOcABw9EsbjERVtWiubaOCnv4m2id1wXzWN5fG7HhtvJEni0h/OJHtyEp6uIPWPbdc6pFOWNC2X3E/NB+DJb+yheov2mxAEQUgMImEojFnmiUXYVkTf/FpfeBI1MjJtOgPtrdTd83uq1943IvMM+0mSRNqE+Uy/4pukls0FVaWhcRtbtv6GhsZtCdumtKV1HwcPP4aqREgpmUPahPlah5SQMqatoPSsm7FlFIKq0Nl1lPLDj7Nr918Tvl1iJBKis6uStraDAPSWmdAtmIHRkUr6pMVMu/xrZE4/baD946lSlQhNe16neu0/Ufw+zPlFFNzyRQzJzkEfI+x20XD/X/HX1yBbzWR9/RZMxfmDXF+h474n8e2vQDbqmfGTS7EWDm8ejRIMU/6jF+jeXYfRouP6vy4ia1LSsI41UnSGk20847hGqC96c0S2xjdxqnijVak6S+ImaAVBEAThw+x+5gS1u7qwWCR+92cnRpNIFiYiVVXZuD66qW3i8gyNo4HWKheddR70RpnUxaVahzMogU435T96gYandwFQ25BBT/o8sr71eTLuuJa0z36K1GsvwnnFuSRfuArr3GkDj+vcdpwTT+xk7/88SsVvXyPY7dHyvzIoxhQr9klZgPZtSZ05Fpx5FiIR2LNrdG5kHWsuvMTCBZeYURR4/scHRGvSGDJadJz/jakAdKw9SNid+JvzP0np51aQuriUkF/h4S/u4uiGNq1DEgQhAYiEoTCmpVxzAbLDRrCthe4t60dkTUOSE9loIuTt49ibD6BEwiOy7sD61iRKVt3AxNW3Y0nJIRzxU1n1Ajt2/om29kMJk1wKhbyUH36Cw0eeBFUhdcICSlZdjyQn3ky2RCBJEinFM5lyyZeZfsW3yJ59NkZbCvay6fRNMNNbZiISCVFx9Dna2g4SCg29/WYsBQJ9NDXt5MDB/7Bx88/Yf+ABKk+8Tk9ptM2SrNMz48pvU3TapzEnx+7miL+3naMv/R/Ne9eCqpI8fwn5t3wBfVLyoI8R6u7ixD//QqClCTnJTtZ3bsc0YXDzW1RVpevBNXi370fSyUz74cU4ZxcM6/+iBMOU//hFunbUYDiZLCyaN7zE41iiKurAxZnOFt/WahGPN7qORbRwEwRBEEaPvjY/b/3hEABf/oadgqLR11ZyvKirjdBwIoLBACWLtD/PK18XrS5Mnl+M3qp9e9SPo6oqLWvL2fW5B+jcXB2dVVg5tG4lPfZp2JbPA6D19XJ2fObftG+ojEe4MdXflrRqk/YVQSULo9+3O7cNrZuLED/f/WESSUkSTYf72PZordbhjCmli9PImugg6IvQ/MpBrcM5ZbJRz/QfXULa8gmEgwqPfmkXR95q0TosQRA0JhKGwpims9tIueYCADrfWUuwK/4ztWSTidzrbkE2W/C01VG/5RlNknRJeZOYcundFCy9HL3ZjtfXwaHyR9m95168vhGYLfYJVFWhs68aJIns2WdRvPJqpHi3FxwjzM5M8hacz4yrv0vO3HMGPt5ka6KpeSeHDj/Gxi0/Y9eeezhe8wa9vfUjVmHa0LiNnbv+yuatv6Ki8jk6Oo+gKCEM1iSSciehvieBHo/kcM3e5/C01yObzWRfeT1Zl34aWT/4m2SBthbq//lnQl0d6NJTyP7eHRgLcgb1XFVV6XniVdzv7ABZYsp3LiBtmDuzlVCEwz99ka7txzGYZa7/v0UUL0wf1rHGmrAnMFC+KNviXGHojibeZZEwFARBEEaRl35RjqtPZeZsAzd+1qZ1OMLH6K8uLJiXhsmqfWJ3oB3paZM0juTjqYpKxS9e4ehvXiPsDmAsziPzO3ciW81DOo7O6SD9858m+/t3YizOI+INcuSXr9B3eOTGiwxH6qISAKq3tKNEtN0Q3J8w3LFNzDFMFOkZOr7+3WhXmnf+r4KeZm03E48lkiSx7Mboz1/jmr3vjsoYxWSDjmn/7yIyTp9EJKzy2Ff3UL5u9LRpFgQh9sTdeWHMsy2bh3lqGWowRPsrz43Imsa0DHKuuhEkic7KHbQf2Twi6/43Wacnc9oKZlz1HXLmnIOsN+INdeOfpM18jP6qt94yE76paRSvvJYpF3+JvAUXxKwd5XgiSTI6w7tz8Qy2ZDKnr8TszAJVpa/vBLV1b7F77728s/FHtLeXDzw2GHTj8bQNKZGoKBECgT5criba28s5dnwt+/bfTyQSpLfMRG+ZiW5DFy53IwDWjEJy561m6qVfYeY1P6BoxVXIekPsXoD/4iqSyLz4SmxTplP0hW+QNGto7W199TWcuP//iLj6MORmkv29OzBkDT5J1/fi2/S9tgGASV85h8xVk4e0fj8lFOHwz16ic+tx9CaZa/+8iJJFIlnYL+yKVhdKJiOSIb431hRRYSgIgiCMMoffbOHwGy3odPDTXyej04lWpIls0zuJ0460o85Da5ULWS+RtiSx25HWPrCZtrcrkPQyzqtWk/3/7hr0Jr8PY5pQRPYPvoBl/nTUUITyH71AoMMVw4hjK2lqDnq7CV9viMZDPZrGUnJy9uah/SExxzCBXHmNhfkLDXi9Ki/+LHE6TY0Fsy7MxZpiJNDmomNztdbhxISs1zH1uxeSedZUlLDKE1/fy8FXE3vjhCAI8aP9FjZBiDNJkki96TKavv9HPJWHcR89jH3ytLiva5s4hfRzLqJj7Yuc2P48lpRsHDnaDI7XGc3kzl9NxtRl+Hvb0BnN9JZFZ62dePEB0tOnkpkxE50uPskcVVVpad1L5fGXKVpxFSnMBiC5YGpc1huvLM4sCpZcCkDQ3U1fYyV9jUfpa6wkEvQRKkunNyOaYGw7vJMTO59DknTo9WZ0OhM6nXHgz8SyC7DbswE40bCZ2rr1hEJePmwyXUtSO3ai7X9Sy+ZhS88nKX8KBsvQWgINR3ftAXqVFtLOOA8AY2oaedd9bsjHcR0+QMszD6OGwhhLC8j86s3o7IPfkd+3bjM9z64FoOyOVeScP3PIMUA0WXjk5y/RubkavVHm2j8tpGyp9jeQEkmo72TVnz3+STzFfTJhaBXVGYIgCELi87tCvPjzaCvSz91hY8q0+G3UEk5dwK+yfcvJhOEK7c/3+qsLk2cXYkhK3PnNrW8eof7R7QCk3nIV9mVzY3JcSZZJ//ynaWm9h3BbB+5j7ZjS4389MxySTiZlXhHtGyqp3NROwewUzWJJybPizLXQ0+Rj7+4QK1aaPvlJQtzJssRPfpXMZas7OPpOG+XrWphx7vCT6sK7DCYdi64uZP291TQ8s5uMlYldkT1Ykk5myjdXI+llWl8v58lv7SUSVphzcb7WoQmCMMJEwlAYFww5GSSdu5y+VzfQ/uoarGWThtSmcLhSlq8i0NKI68Ae6g++yrTsLyJJ2u3yNViTMFiTBv7d13iU9o5y2jvKqap+ieyseeTlLsJmyzzltVRVxeNpjR6//TBuT7SlQUflTlJKZp/y8YWPZ7SnkD55MemTF6OqCkF3z/u+9kooiKw3ooSDhEIeQiHP+57flysROZlc9Pn0hKpPfl6S0JvtGK3JWNJysaUXYEp6t/rNnlmEPXNw8/5ORdjv5sS25+k6tgcAa+lELEXD2wnds30Tba88B6qKZfYU0u+6Dtk0+JktrvU76H7kRQCKblxK/pVDq2zsp4SjycKOTdFk4TV/WsiE5af+szjWhPuiFYbxbkcKoHhES1JBEARh9Fj7hwpcbQGKinXc9eXETHQI79q9M4jfD45ME1kTtf969begSz9tosaRfLxghxuApAtOj1mysJ9sNpHx5ZvIsjSSNCU7pseOtZSFxbRvqKRqUztnfUHbhEXJwjT2Pt/Ajq0BkTBMIGUTDXz+Ljt/+5Obl39ZzoSl6ZgdYiNJLCy+uoiN/zxGX3kTfRUtCf/7YrAknczkr52HJMu0vHqQZ767n0hYZf7lBVqHJgjCCBIJQ2HcSL7kLDxb9hLq6qBnyzukrjwr7mtKkkTWpZ9GZ3OQtuocpLbEaglkTc8nd8EFdFRsI+juoqFxCw2NW0hOLibFWUpe7mJMpujFq6JEkCR5UAnP4zVv0Nq6D5+/a+Bjkk5P7txzyZq5Kl7/HeEjSJKMyfH+NrTZs88ka9YqQp5ewkEfSiiAEg4SCQVRwsH3JQFTS+fgyJ2AweJAb7JpOmtSVVW6j++lfscaIl4PSBIpy8/AnFc49GMpCh1vvEL3prcAsK9aROqNlyLpBj9b0fXWNroeWgNA3hXzKbpp6ZDjgJPJwp+9P1k4cYVIFn6Y0MmWpDpbfJN4qqoSES1JBUEQhFGidk8XO56sB+DHv0rGbE6s6w7hgzb2tyNdlqHpplKAnmYfjYd6kSRIX65NV5zBKrh6IZ6MaZgmDP38fzAMGal0kUoS7QAowTCyMfFunaUuLAag8VAPnu4gtpTBb3iMtZKFqdGEoZhjmHBu/4KdV170UXs8wNo/VnDJ/xteJxzh/RwZZmaen8u+FxtpfHY3Sd+9UOuQYkaSJSZ95RxkvUzTi/t57v8dQImozFwtKlQFYbxIvLMeQYgT2WLC+enz6bzvSTo3rsMxZz6GJGf81zUYyTw/2ibSVQSOusTpHW+wOMiZfRbZM8+gr6mS9iNb6D1xhN7eWnp7a7EvXoLJEd0h2LjrFdoObsBkSkKWPphQmTP7s5hMydFZdnWd+PxdSDo9SXmTcBbNILlgOgaLfaT/i8LHkCQZoz0FIx/fwua/K1O1EnR3U7/lWXpPHAbAmJVD9mVXDy9ZGA7TsuZxXAeiFYrJnzqH5IvPHNLNmr43ttD98AsA5F85n9LbTx/WzZ73Jgt1BpEs/CT9MwzleCcMgyEIR2d8ioShIAiCkMjCwQjP//AAEJ1btWSZqPAZDTatT7x2pEkz8zGmJF4rdiUYRo2o6CwGahsyME+K/2tW25BBmucg5T9+gYlfOjvh5jqa0h3YSjPwHG+neks7sy/M0yyW4gVpQHSOoderYLVqt8FUeD+TWeLHv0zmM1d3sfPJeuZcnE/hHO1a2I4ly24sYd+LjXRsOErgtpUJ28J4OCRZYsKXzkIy6Gh8dg/P/+ggfndI67AEQRgh4l1cGFdsy+ZimlCEGgjS9vKzmgx+rm/ZRNPetSO+7seRZJnk/ClMOOcWZl79ffIXXUz6lKUYrMkDjwl6elGUED5fJx5v2wf+9Bbo6S2L3pzInH4apWd+htnX/4QJ53yO9EmLRbJQOCWqolCx9p5oslCnI+3M1RTd/pVhJQvDbhcND9wTTRbqZNI+dyXOS84adLJPVVV6X3x7IFlYcPXCYScLI/4Q5T98YSBZeO2fFoz6ZGG8f6+GevtnGMa3JaniOtmGV6dDMmq3Y1sQBEEQPsnWh2tpr/GQniHzje9qv8lL+GRNjRGqKsPIMpQtTf/kJ8RZ+cmEYfqKxGxHWvXnN9l392P4W/tGdt3nagi0uTjyi5fxNfWM6NqD0V9lWLmxXdM4UvIsJOdYCIdh906RVEg0i5ea+NSnLagqvPjzQ5rcBxuLcqclU7wgFSWs0rr2sNbhxJwkSZTduYr8qxYAsPn+4xpHJAjCSBEVhsK4IkkSqTddSvOP/4rnyCH69u0iee7CEVvfV1dD+8vPAaA3WcmctmLE1h4soy35Q9uGFi2/kty55xD09oGqfODzBsu7u6nsWSXxDFEYJ5RwCEmWkWQd7hIdqSvPom/vTjIvuQpT5vBmBHiqj9Ly7KNE3C4ki4mMu67HMnPwMz9URaH7sZdxrdsMQOH1Syi+edmwkoUhl59D33+OvvImDGaZq/93ARNPyxrycRJN0HuyKs8cn/kYvuYeAPTp8d0ZG26PtlQ2OFM1bxMmCIIgCB8l6A2z6YHoTbyvfMtBslPsCR4N3loX7ZhQMCcFa7K2G5NcHX7q90TPe9JXJF470uZXD9Ly2iGQJWr2q1imjdzaKddcQLC2kUB1HUd+9hJz/nQtsmHw4wviLXVhCSee2En1lnYURUWWtTlnlSSJssVp7FnTwJaNAU47XVQ5J5pvfDeJ117203ykj4r1bUw9Y/RfdyaCiSsyqN3Vhbe+65MfPApJkkTpbSvRWY3YSzMo/+HzWockCMIIEFcTwrhjLMzFefnZALS9+iyh7pF7Y7cUlZC66lwATmx9js7q3SO29qmS9QZMSek4sktx5Ez4wB9ZL4ZnC7ERCQVoOfg2B5/8OU29e3EVRS98k+YuIv9zXxxWslANh2l//QUaH/o7EbcLQ24mOT/44tCSheEwHf94ciBZWHbXGZR8dvmwkknBLg/7v/oEfeVNmB0GbvrH0jGRLAQInGxVorfF5+aXr6E7evys+O7GD7V0AGBM075NmCAIgiB8lJ1P1+PpCpJfoOOSy+NbfS/EzpuvRxOGU88c3ia4WDryViuqCo4p2ZgzE6tC1X2sjeq/ROeNOy87B8u0kU1oSno96Xdei95hxlXZSv3jO0Z0/U+SNCMXndWIpytIU3mvprFMXB49Z950cjankFhSUmWuuzE6ZmH936tElWGMpOZFX9P+Ta1jkSRJFN+4FOecAq1DEQRhhIiEoTAuJV1werQ1qT9Ay3OPoSofrJiLl7QzzsO5OFpZWLvxcXrqx17rAkEYjkjQR/O+Nzj4xM9o3PESYZ+Lvv17Bj4vyfLwknMdbdTf9ye6N68HwH7GYrJ/+EUMOYNPBCm+AG1/egjvtn1IOpkp37mA/E/NG3IsAP7WPvZ95Qk8NR3Y003c8sAyCuemDutYicjvCgOgs8V+Z7GqqgMJQ0N2fBN5oZZoayeDSBgKgiAICSoUiLDpZIuw275gx2AQFfGjQW+Pwo5tQQCmnqn9hrHydYnZjlRVVI7+fi1KMIxl1mSSLlqlSRz6NCfO6y8HoOGpXQPt8ROBrNeRMi86oqFyk7ZtScuWpiNJUHU0TGtLRNNYhA/32dtsmM3QeKiX6i0dWoczJqTkRxOG/paRbZcsCIIQTyJhKIxLkiyTdtunkUxGfLXH6N66YeTWliQyzr8Mx+z5oCgcf/tBXM3HRmx9QUg0QU8vjbtf5cBTP6dp96tEAl4MaRlkXX4NeTfcOuzjqqpK7+5t1N37ewLNjcg2Kxn/cyNpn7kc2TT46rdQexctP/8b/oOVyGY9M356GVlnTR1WTN6Gbvbd/Ti+xm6cuRZueXA5WZMSayf3qXq3wjD2CcNQr4+wO7prWZ+VFvPjv1e4v8IwXSQMBUEQhMS057kTuNoD5OTKXHalqC4cLd55y08kApkT7KQV2jSNxdsbpGZnJ5B4CcP29RW4K1vRWY2k3XoVkqzd7SvropkYCnKIeIOceGqXZnF8mNRF0XEgVZvaNI3D6jSSOz0ZgC0bRZVhIkpL13H19dHfOW/fK6oMYyG1IJowDHa6iQTE/E5BEMYGkTAUxi1DZhop114EQMebLxNobRqxtSVZJvuya7BNmoYaDlP95r8JecWOJGF8Or73GVr2vYHi92HMyCL7yhso/p9vkTx3EZJueDNCIl4PzU88SOvzT6IGQ5inlpHzsy9jnT99SMfxHz1O20//TKihFWOajdm/u3rgonyo3Mfb2feVxwm0u0gvtnHLg8s1v0kUD353tMIwHi1J+6sLdWlOZGN82yCLlqSCIAhCIouEFDb+O1pd+Lk77BiNorpwtHhzbTSZkgjtSCvWt6GEVWwl6Vjz4zsfeiiUYJiaf28CwLF6Fboku6bxSLKM81PnAOA90ZVQiZbUhdFrk4YDPXi6g5rGMmHZybakG0TCMFHdcrsNownq93YPbBYQhs+SbMBk0wMQaBX39ARBGBtEwlAY1+ynL8QyewqEI7Q8+zhqZORaZ0g6HTlX34SluIy0M87DPzV5xNYWBK2EA15aD71D0N2Nq0jCVSSRvHAplqJScq7+DEVf+AZJs+YNewexqqr0HdhD7V9+jfvwAdDJOD99Ppnf+Bz6lKH9jLne2UHbb/5JuM+PfVIW8/56PUlThndjp+9IM4e//hihbi/Zk5P47APLSc4em5UAflf8KgxHqh2pGo4Qbo/OtxUtSQVBEIREtP/lRnqafKRnyFx5jVXrcIRB8noVNrx9MmF4hvbtSA+vawYg/bTEqi4M9ngxptrQOR04zluhdTgAWOZMJfsHX2DGjy8d1piEeDFlOLCVpKOqUL1F27akE5ZFZ4xv2RhEURInqSq8Kytbx5VXR98z3r63WuNoRj9JkgbakvqatZ0jKgiCECt6rQMQBC1JkkTqZz9F8/f+QKC5ga6Nb5K26twRW182GMn/zB3DrqIShNFAiYRxNVbSVbOP7roDqKEQXpOX9OkXAGCfNA37pGmnvE6ou5PWF5/GW30UAENuJmmf/zSmkvwhHUeNROh+/BVc6zYDkHH6JCZ/YzU68/Aq2nr2neDID54h6I1QMDuF6/+6CEty7KvvEkXgZMIwHjMMvQMJw/SYH/u9wh1doChIBiN6x9hqGSsIgiCMfkpEZcM/oyMNbr7VhtmcOMkL4eNteCuAz6eSkm8hb4a2G0YDnvDAHLOM0yZpGst/M2cmMedP13LsgHFIowTiSZIkTKUFgLZJuQ+TuqgET00HlRvbmX1hnmZxFM5OwWjV0d0V4fChMDNmxbcjiDA8t95p56nHvNTs6KRuTxdF81K1DmlUS8mz0HK0D79IGAqCMEaICkNh3NM7k0i94VIAOt9ZR6ClcUTXf2+ysCfTz7E3HyDgEq0hhNFNVSL0njhC7YbHOfDoj6he9y+6qnejhkIYs3IwZsZuR7UaidC16S1q//qbaLJQryP58nPI+fGXhpwsVDw+2v7w4ECysPjmZUz9/kXDThZ2bKmm/HtPE/RGKF2czo3/WDKmk4Xw3pak8asw1Mc5YfhuO9J0TeflCIIgCMKHKV/XTEeth+RkiWtuFNWFo8mrL/kBmHFeruZVapUb2ggHFSx5KViL4zsbejjqGjPRpzm1DuMDahsyCHZ76dhUpXUoA/rbklZvade0sk9nkCldHD1P3yzakias3Dwdl10R7Xaz/u+iyvBU9c8x9LeIhKEgCGODuAsmCIB1yWws86ZBJELLs4+hhMOaxNH28jP01B7k6Et/xdfdokkMgjBckaBv4O+qqnJ8wyN0Vu0kEvShsztwLl5Bwa1fouiur5M0a35M1vQ11FH/9z/SsfYl1GAI05RScn92N85Lz0IyDK2IPniimeaf/hX/oUpkk55pP7iYohuWDvtmTuOavRz+0fOEAwqTV2Vx3V8XYbKO/cL+gLu/JWnsE6PehpNtQrPiXGF4MmEo2pEKgiAIiUZV360uvOGzNux2cUk/Wng8Cu+8FU0YzjwvR+NooPyN6PVm+mkTNU9e9gt0uKj59ybC7sRNNoXau9h+430c/vnLBNpdWocDQNKMXHRWI56uIE3l2iYtJi6PnqdveNuvaRzCx7vtC3Z0Oqja3E6jxt8zo11KnmhJKgjC2DL271wKwiBIkkTaZy6nqbKWQEsTnW++QsZ5l4x4HBnnXUKgpYlgWwsVr/2NSWd/HltGwYjHIQifRFVVAq5O3C3HcLfU4Go5TkQNUvqNH5284WAgecESlGAQx4w5WApLYlqpFertofOt1+jbtxNUFdlmIeWaC7GtmD/kGx6qquLesJOeR15ACYYxZdiZ/pPLcEwcXhWkGlE4du96Gp/bC8C8Kwq56Hsz0RnG/g09d0cAvyuMJIExzR7TY0d8Ibz1JxOGefGd+ROobQDAlDm8mZWCIAiCEC+tVS6aK/owGOHGW2xahyMMwRuv+fH7Ia3QSs5UbVueh/wRKje0AZC+InHmF9Y/sp2mF/fTfriPzLs/o3U4H0qfnoKhqIDA0RpOPLWLCXedoXVIyHodKfOK6NhUReWmdvJnOjWLZfLpWbz4s3L27ArR3hYhI1OMX0lEBUV6Vl9k5uXn/ex57gR507VtkTyamWzRW+uKP6RxJIIgCLEx9u9eCsIg6ZIdpN1yBQDdm9fjOVY54jHoHUkU3PIFTHkFKF4PR1+7B1ezaBEhJI7Oqp1Ur/0nBx//CeVP/ZK6jU/SWbWToKuTiMdNuKd74LEZ515M1kVXYC0ui1myMOL30/HGK9T+5Zf07d0Bqopt6Vxyf/k17KctGHKyUPEH6PzHk3Td/yxKMEzqohLm33vjsJOFEV+QQz98fiBZePbdU7nkh7PGRbIQoOFg9OtvKUyLeUtSV1UrKCo6ZxK61Phe0Aaq6gAwF5bEdR1BEARBGKpDrzcDcNrpJpzO8XF+MVY8/2y0G8fsi/I0r+ir3tJO0BfBlOHAMTm+G7EGy9/aR/OrBwFIWn2axtF8NEmSSL44miRsfuUAoV6vxhFFpS4qBqBqU5umcThzLOTPdKKqsO41UWWYyC6/KloZd/C1JsIhReNoRq+AJ9qhTBeHkRyCIAhaEBWGgvAe1nnTsa9ajHv9dlqefZTiL3wDnXVkd+7qrDYKbr6Txkfvx1dTRdXa+yg94yachdNHNA5hfFHCIYLuboKeboLubgLuboKuLnzdzUxcfQf+KQ4Aeo+20nviSPRJOh3mvEKsRaVYikoxFxajM1viEp8aidC7ayud69cS8bgBME0sIuXqCzFNKBzWMYMnWmj/6yOEW9pBlii5ZQUFn16IJA/vBk6gw8Wh76/BXd2G3iTzqV/MZfq5ucM61mjVnzBMmhL7yry+w00AmCYUxvUmW7irl0hnD0gSlvzhfW8JgiAkgnBIwdcTxNsTwtMdxNsT/ePrDeHINJM9yUFGqR2DSVR/jBaqqnJobTRheP5F8TnnEuKjtSXCts1BIJow1FoitiOte3graljBPG0C5imlWofzsczTJ2IsyiNY10jjmr0Uf2a51iENzDFsONCDpzuILUW7uekzzs2m4WAPr73s57qbRCV0olqyzEhGhkx7e4jqze1MWZUYmwdGG787mjCMx0gOQRAELYiEoSD8l5RrL8RfcZxwSzutzz9JzjU3j/hFlGwyk3fDrTQ/9R88FYeo27mGpLzJyDrxIyu8n6oqqIqCqkSQdYaBSr6Qt4+AqwslEkQJh4kEfUQCXsIBD2G/l+xZZ2C0pwDQvHcdTXte+8g1uowtWIkmDO1TZ6FPdmLKysOcl49siO9JsaqquI8cpGPdy4Q62wHQZ6eTctX5WOZNG9bPZrQF6S56HnkeJRjGmG5n2vcuJHlm/rDjdFe3cfD7zxHscGNLNXLdXxaRPytl2McbrRoO9ADgmBr7ROlAwrAsvkm84PET0XWycpFN5riuJQiCECuRsEJLRR91e7up29NF3d5u3B2fPANM1kmkF9vImpRE1kQHOZMdlC1NR28UScRE1FrpoqPGg9EEZ5wtKhlGk5ee96EoUDgnhbRCbRMokZBCxfpWIJowTAS+xm5aXi8HwPmpczSO5pNJkkTSRavo+OsjNK7ZR/5VC9FbtU0WmDIc2ErS8dR0UL2lndkXapeYnn5uDq/9voJd24N0tEdIzxDvKYlIr5e44FILD/7Tw74XG0XCcJgGKgyt4n1ZEISxQWQfBOG/yCYjGXdeQ/NP/ob7yEF6d2/DuWDpyMdhMJB79Wdof/0Fkhcuw5NhwFGnjngcwtCFfC78PW0EXB2EA16UYIBIyE8k6CcS8lO04tPoTdH2H60H36GzeheoKqqqgqqgoqIqCqgKE8+/A3NSdHB8y/43aTnw1kCCUFUU4N3vicI7v4Y5J3ph2PnOTjrffOUjYzQtnYu1KBWAcJsd9oBkNGFwpmBITkHvTMHgTMGYkY0p592LTUtBEZaColi/ZB+gRiK4yvfRtfEtgq3RnfRykh3nZWdjX7kQST+8i86Iy0PXwy/g3b4fgNRFJUz51moMydZhx9qxuYqqX71M0Bcho8zO9X9dPDD4fDxRIipNh3oASJoa2wpDVVXpOxz9PjAOs6J0sAI10fmF5jwxP1YQhMSlKCon9nVzbFsHdXu6ObG/m6Av8sEHyhIGhxl9khlDkgVDkgW93YS/zYXneDthl5+2Y27ajrk5+Gr0KeklNi79wUxKFqaN7H9K+ET91YUrV5mwO0Q70tHkhZPtSOdcrH114fEdnfj7whicVpKnJUY3jNr/bAVFxTJrMqYJ8b/WiAXr/OnoszMIt7TT/NJ+Cj69UOuQSF1Ugqemg8qN2iYMU/Ks5M1IpvFQL+te83PtjaLKMFFdcnk0YVi1vhm/K4TZYdA6pFEn4IrOLtR604AgCEKsiIShIHwIY1EezivPo+eJV2h/bQ2WolJMGSO/20rS6ci84PKBf7uKJJSN5diyStCbRBsirQVcXbhba/B3t5Az91xkffTkuvbIK9H5eh/BednFGFOjF02eij58XU0f+Vh3VoRQZrSKzn88QiT40XMg1FBw4O86mw1DShqSwYBkMKAzWZCtVnSW6B99UtLAY5NmzcMxfTayxap5SyIlFKJv3066N71NqLsTAMlsIumc5SRdcDqyZXi79lRVxbvzIL2PPkeoxxeTFqSqolL38FbqHtoKQOmSdD79+wVYksbnRVZHjZuAJ4xsNmArTo/psf0tfYR6vEh6GVNRfG9+BGujCUOTSBgKgpBgVFWl4UAPB19r5tDaZvpa339OoLebSJqeR/KMXJJn5GEtTEPvMH/k+5yqqgQ73biPd+A53o6npoPu3bV01Hj412e3Me+yfFZ/fSpWp7gBlghUVR2YX3jeheI6YDQ5eiTE0SNhDEaYsTpH63A43N+OdPkEJJ32iWdPXSdtb0ZHHiSPgurCfpIsk3zh6XQ99Bxhb/CTnzACUheWcOKJnVRvaUdRVORhXufEwoxzc2g81MtrL4uEYSKbNkNP2QQ9x6rDlL/RwvzLxTXQUPk9/S1JRYWhIAhjg0gYCsJHSDpvBf6DlfgPV9P8xIMU3nY3slHbGya+uhpOvHk/JlsKpWffjDU1MXaEjgeqqhLo68DdcgxXy3HczccJeroHPm86feFAUtl4IhNDShqG1HR0djuyyYzOZEY2mZHN5vfN+UuevwRr2eRoom7gjxxtLSpLGJypA491LlqOY+ZcJJ0OZB2SLJ/8u4wk65D07/5Kdy5YOujK2ERou6gE/PTs3EL3lneIuF0AyA4bSecsx37WEnS24VfshXv66PrP8/h2R9sc2YrTmfT1805pzl7YG6Ti16/SubkagCU3lHDu16ah02t/00UrJw5Efx4ck7JifvOpvx2poTAPyRi/hKyqqgRFhaEgCAlo3Z+OUrG+jd5m38DHdFYjqYtLcM7MJ3lmPtaitCFtgpEkCVO6A1O6g7RF0dlXYbef4//cSPNLB9izpoGKd9o4/xtTmXNxnuabisa7lqMuOmpFO9LRqL+6cOJpWViTtb2eVCIqR9462Y50RWK0I5V0MtnnTqevV4+pePgjArRgWzoH88xJlMz45BbQIyFpRi46qxFPV5Cm8l7yZzo1i2X6uTm8/r8V7NwWpLMjQlq6aEuaiCRJ4uLLzfzxt272v9QoEobDEDg5w1AnZhgKgjBGiIShIHwESZZJv+1qmn7wJ4JtLbS98hzZl12tbUwGA/okJ4GeTipe+jNFy64ibcJ8TWMaL1r2v0nT7lff/0FZxpybjym3AOk98yVTV5xJ6oozB3VcY3omxvTMQT1WZ7Ojs9kHHfNoEGhroXfnFnoP7EL1RSsldKnJJJ2/EvvKhcim4Z90q6qKZ8seeh9/kbDLj6STKbxuMYXXLUY2DP+C1dfUw6EfrMFb24nOIHPxD2Yx9zJxYdV4MmGYNDX2O+ddR6IVFaay+L7O4bZOFK8fSa/HlKl9BYAgCEK/7Y/VAaCzGEhbNoGM0yeRuqAY2Rjbyzm93cyku88h65xpVP3hDTy1HTzz3f3sfb6BS34wk/QiUSWilf52pKefYcJuH78blEabSETlxTX97Ui1T4bV7+/G3RlAbzfhnJMY56/W/BQmf2M1NSdi26FiJEh6PXpnEtCudSgAyHodKfOK6NhUReXGNk0Thqn5VvKmJ9NY3su6V/1cI6oME9ZFl1n442/d1OzopK/VT1KW9huKR5P+GYaiJakgCGOFSBgKwsfQOR2k33ENbb/9F317tmMtLiNpzgLN4jHn5lN0x1dofvoRvNUV1L7zKJ62OvIXX4KsEz/OsaBEwvQ1VtJTe4D0yUtQT+64l0KFSPt0mPOLsBSXYSkqxVJQjGwSO7yHSo1EcB85SM/2Tfjqjg98XJ+dQfKFp2NbOud91ZLDEe7qpfOBZ/EfOAqAfVIWk79+HvbSjFM6bvfuOqp+/jy+vhCODBPX/HEh+bNSTumYY0VDHBOGfQMJw/jOLwzWNEbXyc6NVu8KgiAkiLQVE8g+exopC4vRmeLf+jp5eh7z7r2Bhqd2ceLhLRzf3sn/Xb6Bq383l6lnxnZOrfDJ3tuOdPVFoh3paLJ9S5C2VgVLkoFJK0/tPDQWDq+LtiNNW1J2ShvoYq22IYPRXsTsPt6OIdmCKU3bDZ6pi4qjCcNN7Zx51yRNY5lxXg6N5dG2pCJhmLjyC/TMW2Bgz64QB19rYvlnSrUOaVTxu/orDMW9IUEQxgaRYRCET2CZNoHkS8+id80btL70FKbcfEyZ2t0o0Vlt5N1wK53r19K1fi3tRzbj7Wyg+PTrMCeNvl2ZiUBVFPoaKug8tofeE4dRQtGWMuEUI1lEE4bWkgmUffcXyIbxOZ8uFsKuPnp3baVn11Yirr7oByUJy9ypOM5cgnnahGgr1lOgKgquN7fS99zrRLxBJIOO4s8so+CqBafUJlNVVZpe2M/xv72FElHJn5XC1X9YQFKm2H0J4O0J0lYdbSXriHHCMOIL4j7WBoAxzgnDwLF6AEy5ibHjXhAEod+Ub6we8dk4sl5H4bWLyTh9MpV/WEfP3noe/9pebvzbQiYsFeecI6m70UdnnQeDEVadJW5IjiZrno5WF85cnYPeqG2CTlVVyvvnF542QdNYIBpP7QNbSF8+AazaJ1NPxZ5fbsH15laKblpK8U3LNI0l9eSG18aDPXi6g9hStKt66m9LumNbkI72COkZiZOkFt7vgkss7NkVomJ9q0gYDpG7M3r/SG8X9wYEQRgbRMJQEAYh+ZIzCVTV4i+vpvnxByi8/SuaVpZJskz6masx5xXS8szDeNrqaA9UU4C4eTMUSjhEa/kGOiq2EnS/O49Q50jCMW0WjpnzBj4m6XSi4mgYlEAA95GD9O3fjfd4JagqAHKSHceqRdhXLUafmhyTtYJ1TXQ+8OzADLqkaTlM/vp5WAvTTum4YXeAyj+to/3taLXi7EvyueSHszS/6ZNIqje3oapgK0mP+a7qnv0NqGEFfUYqhozUT37CKfAfjVa8WovERbIgCEI/S66TWb+6gsM/fYmOTVU88qVdfObviyieF9/fycK7mo/0AjBpsgGbTbQjHS1cfQprX40mDOdepn070qbDffQ2+zBYdKQsKNY6HPoONVL/yDYantlN3p8mndIoAq0ZSwvgza20vV1B0Y1LNZ35akp3YCtJx1PTQfWWdmZfmKdZLKn5VvJnOmk42MPaV/1cd5OoMkxUi5ZGf/4aDvUSCSvo9OK9ZjC8PUHcHdGEoa1InBcJgjA2iIShIAyCJMuk334NzT/4M8GONlpfeJLsK2/Q9EIAwD55GkV3fo2enVtJnr8ElyThqFNRwkFk/ei94Bop7hI9bWu2EHb3IFssJM1egGPGXMz5hadc6TaeqZEInmNHcR3Yg7viIGowNPA504QiHGcvxbpgxim3He2nBIL0PreOvrWbQFHR2UyU3noaORfOQpJP7We070gzR37+Mv6WXmSdxFlfnsLym8s0/9lPNJUbohWA/TuaY6l7dy0A5ukTY37s91I8PkInorvuLcVlcV1LEARhtJF0MlO/ewGHfvg83Ttr+c9dO7nln4vJm+HUOrRxoelItDPDtOni8n00ee1lP34/ZJTYNJ0l1+/wG9G2tskLy0aktfEnaX71EACWhbNHdbIQwDpvOt1GPb4T3bir23BMzNI0ntRFJXhqOqjcqG3CEKLVtQ0He3jlBZEwTGQTJuqxOyTcrgitVS5yp8ZmU+9Y11IZ7bJjzklGZxndv8cEQRD6iSsOQRgkXZKd9Luuo/VX/8B1cC+WolKci5ZrHRaGlDQyzr1o4N+92QFq//o70gpmkTvvPJE4PCkSCtBVvZvumv1k33Z7tGIQifSzLkBVVRwzZiMbxGs1XEo4jK+mCndFOe7DB4h43AOf02elY1s2B9uSORiyYlsF691XQdd/1hDp7AEg4/RJlN11xilXuamKyoknd1L3wCaUsIozz8KVv55PwWwxr/C/KRGV6s0nE4ZLYl+Z1727DgDLjPgmDP1VtaCqGNIy0DuS4rqWIAjCaCQb9Uz/4SUc/O6z9B5o4IHbd3DrA0vJmujQOrQxr7/CcOoM7ZM8wuA9+6QXgHmXFyTEZrPDJ9uRZqzQvh1p2B2g/Z1o9w7H6Qs1jubUyRYT5tlT8e48SNtbR7RPGC4s4cQTO6ne0o6iqMinuInyVMw4L4dXf3uEXTuCtDRHyM4RXVoSkSxLzJpjYMvGICf2d4uE4SC1VkY39NhKR3dbZUEQhPcSCUNBGALzpGJSrlpN9xOv0PbaGsx5BZjz4jtTa6hchw8Q7umitWc93bUHKFx2Bcn5U7QOSzNBdzdtRzbTUbGNSDDaEshecQjH9NkAJM1ZoGV4o1rE68FTeQT30XI8VRWowcDA52SHDduS2diWzsVYkh/zmyTBuka6n34d/8FKAExZSUz80lmkLT71hFWg003Fr1+lZ090nt3083K5+AezsCSJm3QfpvFgN77eEDqbieRpuTE9tr+tD299F8gS5qnxrfoLVNQAYCkW7UgFQRA+is5sYMbPLufAN5/GVdHM/bdu59YHl5BeHNt21ML79VcYTp0uzkVGi+PHwuzdHUKngzkXa1vhBdB2zEV7jQedQSY1BufLpxzP+gqUQBhDbmbcZ1SPFNuSOScThkcpvXXlKc1PP1VJM3LRWY14uoI0lfdqWuGanG2haH4qdbu7ePUlH5/9vHi/SFRz5hnZsjFI/b4eFl+jdTSjQ3+Foa1EjAcSBGHsEAlDQRgix+rT8FfV4ttzmKYnHqTw9q+gtyXOSW/y3EXobHbaXnyaYG8X1a/fhz2njNx5q3Fka39xOFI8bXW0HtpAd90BUBQADKlpOBefhrVsksbRjU6qohBoacJ7rBJP1RF89TUDry2AzpmEZe5UrHOnYZ42AUkf+92jodYOep5dh3f7fiDaIi3vU/MovmkZOsup30Tr3FFDze9ewtMVxGCWOf87MxNmV3iiGmhHuqAo5jdG+qsLTaUFyDZLTI/93/yV0YShVbQjFQRB+Fh6q5GZv/wU+7/+JO5j7fz7c9v5/ENLScmzah3amOTuCODuCCBJMHmquHwfLZ57KlpdOGF5Jo4Ms8bRvFtdmDy3CL3NpHE00PLKQQDsKxeOmfNsy6zJSBYzwU43vQcbcc4p0CwWWa8jZV4RHZuqqNzUrnlL3Fnn51C3u4tXXvCLhGECm7sg2nHpxP5ujSMZPVqroglDu6gwFARhDBFXHIIwRJIkkf65q2hu+D/CbZ00PXY/+TffiRyjeWyxYJ80DesXv0nHW6/Tu2MT7uZjVL78V5LyJjPh3M8hyWO7DYivu4WKF/888G9LcRkpy07HNmmamE04RKGermiC8Fgl3uNVKF7P+z5vyM8eSBIai/Pi9vqGe/rofeEtPO/sQI1Ek5SZZ06h+OblWHKdp3z8iC/Esb+/Q/NL0URk1qQkrvrtPDJKRZu1T1K1qRUgLrvV+xOGcZ9f6AsQrG0ExPxCQRCEwTA4zMz61ZXs/9oT9NV3cf+t27nj8eVYk0V791hrPhqtLiwu1WG1ivPY0SAYUHn2yWhnk3mX52scTdThN6MJw/TT4ntONRjuY224KluR9DK2ZXO1DidmJIMe64IZeDbuon1jpaYJQ4DURcV0bKqialMbZ96p7dd9+tk5vPyLcg7uD3GiLkxBUeLcOxHeNXtOdANu1wkv7s4A9jTtNxckMiWi0lotKgwFQRh7xLu0IAyDbLOQefdnaP7p3/DX19D6/JNkf+rahNodKZvMZJ5/KSnLVtK14U1692xHTbfjLtHjqFO1Di+mQt4+PB0ncBZOx1UkQVEO1n0T0Sc5cS5diTlH+zZAo0Wopwtf7XG8dcfw1R4n1Nn+vs9LZiPmyaWYZ0zEMnsKhsy0uMYTcXnoe30j7nWbUAJhAFIXlVByywrsEzJjskZveSMVv34Nf1MPAIuvK+Gcr07FYBrbifVY6Gvz03yyTVrqwpKYHluNKO8mDOM8vzBwrA4UBb0zFUOymFMpCIIwGMYUK7N+cyX77n6CrhO9rP3jUS774UytwxpzWk4mDKdMFe1IR4u1r/np7FBwZJqYskrbWXYA3Y1emg73IcmQtlT7jVGBdhfGNDv60hJ0SWOr2izp3OUUn5tP6oJirUMZODdvONCDtyeI1andhg57uomSRekc29bBKy/6uf2LY+vrPlYkJctMmKinuirMiQM9TD1D+99fiayrwUvIF0E26mOyiVkQBCFRiIShIAyTITeTjC9cR9v/PoBr/y5MGZmkrjxb67A+wJCcQtbFV5J62plwMqHpKpIIdrTR9ewaMiYvIblw2qirOlRVFW97PW2HN9NVuw9Jkij9+g/RYQMg76bbRTXhJ1BVlVB3J76aary1x/HVHiPc+1/tR2QZU2kB5ukTME+fiKm0IC6tRv9buLOHvtc24NmwYyBRmDQth5JbV+KcFZud2kooQu2DW2h4cgeqAklZZi7/2RxKl4h2IoNVtSnajtQxORtjSmxb0bmr2wi7/EgWE6aS+O7Q9leIdqSCIAjDYUp3MOVbq9n3lSfY9VQ98y/Lp2C22HgRS80VJxOG00TCcLR49MFoR46FVxWhM2h/PdJfXZg0swCjU/vWwWlLyljyaAnHK8de0shYkIObHNIN7Z/84DgzZTiwlaTjqemgaks7sy/QdhPtzPNzTiYMfSJhmMDmzDdEE4b7ukXC8BO0Vkbfn63FaZrOLBUEQYg1kTAUhFNgmTGJ1BsuoeuhNXS88QqGtAwc02drHdaHMjhT3/fvzvVrcTVU0NdQgcGWTMbkpaRPXozBmqRRhIPj62mlp/Yg3TX78XU1DXzclF9E2O1CZ40mDEWy8INUVSXY3oqvLpoc9NXVEO7ref+DZBljcR7mySWYJhVjnlyKbB25uSuRXhe9L72Ne/121FAEAPukLIpuWELa0rKYVfEGOt0c/smL9JVHv4dmX5LP+d+agSVJ3Iwbisp3+tuRxra6EKBrZzSJZ55aFvcktf/IMQAsxeNnzqsgCEKsJM/MJ+u86bS+Xs6aHx3kzieWozeOro1oiax/PtKUaeLSfTSoOBxiz64Qej0svFLblpT9+ucXZqyYoHEk76przkInOv/HXeqiEjw1HVRu0D5hOO3sbF7+2UGOHglTXRliwiRx3ZWI5swz8vTjPhoO9WgdSsLr39Aj2pEKgjDWiKsOQThFjjOXEGpuw7VuCy3PPYrBmYo5LzEuDj9O2pnno09y0rdnOyFPL017XqNp31pSimaSMXUZ9uzYJWdipbNqF7UbHhv4t6TX45gxB+fi00bFaz7S1EiEQGsTvtrj0SRh3XEi/zWDEJ2MqawQ85RSTJNLMJUVIptHflZBxOOl79UNuN/YhOKPVhQmz8qn6PolOOcVxvR7se9wE+U/fpFgpxuzQ8+lP5nDtLNzYnb88SLgDVO9OVphGI/2Vu3rKwGwzpka82O/V7i7j+Cx+uhaEybHdS1BEISxqvTzK3HvrKK1ysXb91RxzpenaB3SmOHtDQKQkSmSsKPBQ/+OnmtPPTsHR8bIbbr7KO6OAPV7ox1E0pZrnzDsq2jBMTE2YwUSlRIIcvyfG+neVcvcP1+LbNTutlvqwhJOPLGT6i3tKIqKLGt3fW9NNlK2PJOK9W08/4yPr31HJAwTUVFJ9L2mt9mncSSJ7/iOTgCSp+dqHIkgCEJsiYShIMRAyjUXEmrtxH/gKI2P/ovC2+7GkOzUOqyPZUxNI+Pci0g7czXu8v307NyCv76G7pr9dNfsR2+2k1wwldz552O0JY9obCFvH+7WGlzNx7BnFWM4cz4AcupkpC16LCUTcEybhX3qzIGKQgGUUAh/4wl8dcfw1R3Hf6IWJRB432MkowFTWWE0OTipOJogNGk3zyLS46Jv3WY8b28h4o3eEHNMyabksytinihUQhHqHtlGw2PbUSIqGaV2rv3zQtKKREuc4aja0Eo4oGDOdcZsnmQ/T20HntoOJL2Mdf6MmB77v/l2lwNgLijGkOSM61qCIAhjldFppeiL53H4Jy+y4V/HmHpmNvkznVqHNSYEvdGOCzZ7Ym3kEz6oqzPCS89Hb7IvvSH23ReG48jbrahqtH28OVPbTjKBTjd7v/QoxhQrWT/5OrLNomk88SIZDTSuPUqkq5eunbWka5ioTZqei85qxNMVpPlwL3kznJrFAjDvsgIq1rfx7FM+/udrDoxG8Xst0fRvTnG1Bz7hkeOb3x2i4UAPACnzirQNRhAEIcZEwlAQYkDS6ci481pafn4PoYZWmh75FwWf+yKyaeQrtYZK1utJmj2fpNnzCbQ00rNjC57KI4T7eug8thvnVZcRMEs46lRcTdVIOh2WlBx0xtjsmFVVlaCrE1fLcdwtx3G31hDo6xj4vCfQTj7RhKHekUTZt3+KbEz813UkKKEQ/oY6vDXV+Gqq8TXWQTjyvsdIFjPmScUn24uWYCzOQ9Jr/6s/1NpB36sb8WzeNdB61FacTvFnl5O2LPbVrZ6aDip+/Sru6mhF3Izzc7n4B7Mw28XO1uEqX9sMQMbKSTH/erWtPwqAecbkuN9M8uw+CIB92qy4riMIgjDWZaycROYZU2h7u4JnvruPu546DYNZVMWdClVVCXqjnResVnFjPdE9+aiXYADypidTMNupdTgAlK+Lnq9pmbTq1/ZWBSgqUkramE0WAkiShHXBDFxrN9O+sVLT11426HDOLaRzczWVm9o1TxhOPj0Te7qJzo4Ab631s/qisft9MFplZEZHuwR9EQKeMCab9vcOElHtri6UiIolz4k5e2Q32AuCIMSb+M0vCDEiW8xkfvkzNP/0bwRaGml++mFyr7kZSTd6bpSYsvPIuuQqlFAIX91xgh1t6MzRk3hXkUT96y/jb4i27tObbRgdaZgcqZgcaZiTM0mbuGDgWJ62OpRwCCQACSUcJOjpJeTtQdabyJ51RvSBqkL5mt+hhkLvBiJJmLJysBSVYp3w/pZW4zlZqIbD+Brq8dVWR5OEJ2ohHH7fY+Qk+3vmD5ZgyM9OqHmOgdpG+l55B++ug6CoADim5lB4zaLojMIYt8lRIwonnt5F/QObiYQULMkGLvr+LGasFm1DTkXAE6ZqY3R+YcbKSTE9tqqqtL8dTRjaFsd3Jmykz02gIjor0TFtZlzXEgRBGA8m/M+Z9Ow/QXuNhzf+cpTzvzFN65BGtZBfQVWif7faRMIwkYVCKo8+5AVg6Q3FCTHawdcbGmiZl75yosbRQOu6wwDYls/XOJL4sy6ciWvtZjq3HEMJhjVvS9q5uZrKjW2ccYe23wc6g8z8TxXwzj+qefJRr0gYJiCbTcZqk/B6VFztfkw20Y3nwxzbGt3k7pwrqgsFQRh7RMJQEGJIn5FK5pdupOVX9+E5Wk7Lc4+R/anrEiphMxiywYBtwmRs75nnpSoKhpQ0Qt1dRDxuwn4PYb8Hb3s0gWhIy8B49sKBx9eseYxQZ/uHHt+QloHt4jNP/kuPpagMJeDHUlSKpbgUS0EJOou4eAAI9XThqarAU1WB93gVavD9rUF0yQ5MU0sxT4n+0WelJ8QNivdSFQXfviO43tyKv7x64OOpi0oouGYRyTPz4hKzr7Gbit+8Rl95EwCTVmZyyY9mJ8Q8mdGu4q0WQn4FS34K9hjPoXFXt+Fr7EY26bHMje/8Qu/eI6CqmHLyMKSkxXUtQRCE8cCQZGHSV8/h0PfXsOWhGqaelU3xvFStwxq1gp7oxjBJAoslsc7vhPdb+6qftlYFe5qJGeclxmzsI+tbUcIqtuJ0rPna/hy6j7XhOd6OZNBhXTT2N2mZygrROZOI9PTRvaeetCWlmsWSuqgYgIaDPXh7g1iTtRtHAbDgigI23FfNlk1B6mrDFBWL25KJJiNTpq4mgqs9QHqxSBh+mOqTCcOU+SJhKAjC2CPemQUhxkwTisj44vW0/+U/uA7sQTYYybzkqoRL4gyVJMvkXHUjAErAT6i7i1B3J6GuToLdnegs1vc93pCaFk2UqtEqMnQ6DElO9MlODKnp73ts3o2fH/WvT6wo4TC+2mPRBGF1BcH21vd9XnbYME8tezdBmJORsK9dxOXBvWEnrre2EensiX5QlshcNZmCqxdiL4ttoqmfEorQ+PxeTjy4iZAvgsmmZ/W3pjP3soKEfa0C3jDtx1y0V7toO+airdqF3ihz2U/nYNH4ov7DHHylEYDMM6fE/DVt729HOmsqsjm+FcXe3YcA0Y5UEAQhltKWlJF13nRaXy/n2e/t54vPnIbRKi47hyNwsh2pxSohx7gLgxBb/7nfA8CiqwvRGxOjw8zh/nakp2lfXdjfbt4yawo6m/UTHj36SbIcbUv6xhbaN1ZqmjA0ZyZhLU7DW9tJ9eYOZl2gbaeVlDwrE5ZnULWpnacf8/K172g7W1P4oIxM3UDCUPigvlY/7cfdSBI45xRoHY4gCELMiSs3QYgD65yppN9+DR33PEbv7m1IRhMZqy9J2GTFUMkmM6bsXEzZH32xkX/jbYM+3lh5XYZLCYXwVh/FdfgAnqOHUPz+dz8py5gmFGKZMQnzrMkYC3MSvmI1UNOA640teHfsH5hPqHeYyblgJrkXz45bj39VVencUs3xf2zA19gDQPHCNC776RxS8hLrxoSiqBxe28T+lxppq+6jp9H3oY977vv7uOZPCxPqJqGnK8CxrdHq4cwzp3zCo4dGVVXa3q4A4t+OVPH4BipeHSJhKAiCEFMT7jyDnj11dJ1ws/aPFVz03RlahzQq9c8vtIn5hQnt4P4g+3aHMBhg4acLtQ4HiLaPr94SrYDROmGoqiodG6sAsC4cP+dc1oXRhGHn5mqUuyPIhv/P3n2HR1WmfRz/Tp9J7z0h9N57L2LBDmLv2BXLqquvbV37qquru6Lu2jt2BBERBER6bwmkQBIS0nuZTD/vHwPYpSU5Z5L7c125Ukjm/BKSmTnnfp77Vq+QHDWiM/b8KrJXlateMAQYPjONnFUVfPFpM7feFYrZLPdxWhJ3cI5hQ6XjCJ/ZMe1d579vDemRgClUuhcJIdofKRgK0UqCRwxAcbqoeuMzatf+gN5iIWbKaWrHEhrhc7loytlNY+YOGrMyf9Fq1BAeinVAT2wDemLr0w19sPbbs3qb7NjXbafxx0248g8c/nhIj3iSzxlE7KSeGCymVjt+Q04Ze1/9gbrthf7jRluYclsvBp+bqqliG8C+9ZUseT6T4sy6X3w8JlZPt+5Guvc0kpBk4MV/NpC1oow1b+9l3KxuKqX9rYzvSvB5FUJ7xLd4e6v63SU4yxvQWc1YB/Q88hecAPv2PeD1Yo6Nxxwb36rHEkKIjsYYYqHHXaey8/8+Z92HBQydkUZiL9lFcqycdv/CK5lfqG3vvemfXdjn1GRCY7Rx8Tjrh3I8Lh+25EiCO8cc+QtakX1/Nc1FNehMBmwDW/f5nZZYuqdj7pREVK9IPE1OzBHqLWCMHtGFok82kbOqAp9PUf38qOfEOEJjLVRVOFn2nUNmGWpMbJy/uN1QLjsMf4+0IxVCtHdSMBSiFYWMH4bP6aLm/flUr/gOvdlM1LgpR/5C0W45y4qpXb+K+h2bUVzuwx83RIUTNKwfQcP7Y+mapvldhIe4y6uoX7QS++rN+FwH5+yYDMRO7EHyOYMJ7ZXQqjtIvc1u8t74keKvtqIoYDTrGX1lF8Zf0x1LsLYe4ir2NbD42UxyVpUD/ot/V10bzKixZrr3MBEZ9cv/8+BgHX+/v55l/95Nt7GxJPRsnZ2Zx2rH10UAxE1p+fmCFcv8uwuDBvdFb269AjOAfdNOQNqRCiFEa4kalk7spJ5UrMji+znZXPafYWpHCjiHdxiGSMFQqyrKvSz62t8pYvSl6eqG+ZnM70sB/+5Ctbu5BKVFMWTOpRRscaK3aaOg2hZ0ej2Jj9xGekqF2lEI65eEIchMU7WLA7tqSR0QqWoeg0nPkOmp/PC/XD7+wC4FQ42JPbTDsEJ2GP6aoijsW+8vGEYM0caOciGEaGnaupoqRDsUNnUMitNF7affUvnd1+itNiKGjVY7lmhDitdL455d1K5fRXP+3sMfN8ZG+YuEw/ph7pwSMEVCAFdBMXXf/IB94w7w+edUBneJJeG0fsSf1AtTeOuvoK3dUUT2c4sPtx/tNy2Jk+/oTUSSttqP2mtdrHglm00f5+H1gtEIF10WxE23hRAd88etic45L4h/PFqPwwHNde4//Ly2VLSjhsLtNRiMOmInt+wKcW+zm7KlmQAEjx7Uorf9m2M1NNG83T9LJ7Rf67Y+FUKIjiz9itFU/ZjNnuVl7F1XSddR6u50CjSHCj1ubTwNEL/jw3ftuN2QOjCClP4RascBwO3wkr3Sv0AtZpz68wt1Oh2hPRMICY5VO0qHpTcaiByWTuXKbLJ/rFC9YAgwbGYqK1/LZe1qF/l5HtI7y+VJrTi0q93t9KmcRHtKs+ppqHBisuoJ652odhwhhGgV8ogsRBsIP2MSPruD+oUrKF/wGXqzmbABQ9WOJVqZp6mR+s3rqN24Bk9drf+Dej1BQ/oSOnU0lp6dVV/xeywUn4/mHVk0LFl9ePYb+GdipF40gvD+yW3y/Xganex7fSUlX+8AICzeyjmPDqTbmLhWP/ax8Hp8bPq0gNVzMqir8xdVTzrFwl8fCDuqE+JvFjTjcEBkchCdhkW3dtyjsupN//97zEl9sESHtOhtly/bjafRiTEuGmu/1r24ZV+/A7xeLInJWOLVn+MihBDtVVBaNIlnD+LAl1tZ+I8MbvlsPAZj4CyQUltItBmAmmq5aKtFDofCR+81ATD2yi4qp/lJ7poKXM1eLLGhhPaUtutqU7w+GvdWYEuKwBhiUS1H1HB/wTBnVQUn3dJDtRyHRCYF0X1cLNk/VvDJh3bueUDaVmuF2+V/bTTL4/WvZX5fBkDY0C6tOnJFCCHUJAVDIdpIxMxT8dmbaVy+ntLPP8TncslOw3bKXV9LzY/LqN28Djz+VlL60GBCJo4gdPJIjNER6gY8Rr5mB42rNtOwdA2esir/B/U6Yif2IO2iEYR0bbtCXeXqXHL+/T2uqkYAhp6Xxsl39sEWpq0n6/u3VrPwiZ2UZtUD0KOXkfv+FsbocUd/kWDue/55OEPP76T6nBGAyrxG9izzt7dKvWB4i962oigcmL8NgNDJI1t9t23jmi0AhA2U9nhCCNHaOl0xhprluyjPbWTjJ/sZdUm62pECRnCU/3lDTbVPE3PHxC/N+8xObY1CRJKN3lO0U5jLWKqddqTly/dQs7kAZdAYrL065g7D9bfNw5mVR+8HziBuci/VckQN7wzAgV21NFU7D9+/qGnEhZ3I/rGCLz6xc/tdoVisch+nBS6Xf7GrwSQFw1/bs9xfMIwZ01XlJEKIE1FSUsJ///tfFixYQH5+Ps3NzSQmJjJ+/HhmzZrFhAkTNH3MjIwM3njjDX788Uf27t1LQ0MDNpuNxMREhg4dygUXXMA555xz3M8DpWAoRBvR6XREXX4OKNC4Yj3l8z/F12wnavxJakcTLcRdV0P1j8uo27IOPF4AzJ1TCJ06muDhA9C18ky2luYur6JhyRrsqzfitfuXGRpDLCRM60/yOYOwJrTdTD1XdRM5Ly2jcmU2ANGdgjnr4QF0Hq6t1mYNlQ6W/Gs32+f75/yFhem4455QLrgkCKPx6B+od+1ws3O7G5MJhkxPba24x2T123tRFIge3ZXgTi2747E+o5imvRXoLUaCJ7RuEc9dWoFrXyHo9YQOGNKqxxJCCAGmUCvJV04k58WlfP9SNgNOTyIowqx2rIAQFOn/OXm9UFenEBkpF9O1wu1WeO0V/+7CMZd31szOWa/bx54VBy9oa6AdafmyPVSt3Uu4LRFrL+3swmxL5vRknFl51GzZr2rB0BITQnDXWJr2VpCzppJBZyarluWQHuPjCE+wUlvq4LtFDs6aLrMMtcDtPlgwlB2Gv1BzwE7Jnnp0eoge1THvz4RoD7766iuuvvpqampqfvHxffv2sW/fPt555x1uuOEG5syZg8Hwx2OE1Dimz+fj3nvv5fnnn8fn+2UHkoaGBhoaGsjOzuajjz5ixIgRfP7556SkpBxzXikYCtGGdHo9UVeeiz7ERv3XK6hcshBvs52Yk89UffWnOH7u2hqqf/yeuq3rDxcKLT3SCT93KtbeXQPq/1bx+XDsyqHh+7U079gD/nMFgtKiSD53MPEn98Fga7uLfIpPoXTxLvb/bzmOBjd6g46xV3dl4g09MFlb5oG7JXg9PjZ8lM+qVzJpbPD/0GZeZOPOe0OJij72nHPf91+A6jU1WROrf+vLHWxf4C+Cpl7UsrsLAQ58tRUA24hBGIJbdwZl0xr/sYK69sAYEtqqxxJCCOGXeHp/ihdsp2lfBUv/k8XZD/VXO1JAMJr02MJMNNe7qa70EhkpF2+14qvPmzlQ6CUk2sLw89PUjnNY3sYqHPUeTBE2wvuq23bd63RTs6UAgKBBvVXNoiZbn240LF5F7db9akchanhnmvZWkP1juSYKhnqDjmHnp/H9f7KZ+36TFAw1wnWoJansMPyFQ7sLw/qlYApv3XNWIUTrWL58ORdccAGug3d0Z5xxBmeffTbBwcFs2bKFN954g7q6Ov773/+i0+l45ZVXNHXMe+65h+eee+7w+9OmTeOkk04iOTmZyspKtmzZwgcffIDL5WLDhg1MmTKFbdu2ERR0bPdZUjAUoo3pdDoiZ56GPshG7SeLqFm1HF9zM3FnzWz1NnyiZbnra6lesYS6rRv8S78BS8/ORBwsFAYSb5Odph8307BsHZ7yqsMfjxyeTsr0IUQOS0fXxm2wGnLKyH1pGfUZxQAk9Qnn7EcGktir7XY2Ho3SrHq+uG8LZTkNAPQbYOJvj4cxYNDxFVYL8j189XkzAMMv7NRiOU/Euvf34XX7COuXTHjflr244KpuovLHHABCT2rdNs2KotC0dhsg7UiFEKIt6Qx6ut0yme13fcLGT/cz/PxOJPaSeVVHIzjaTHO9m6oqH13V3zAm8O++eeU//vb442d10dQitsxD7UjHdENnUPfcsnZrIT6nB0NUOKa0RFWzqMnSszM6gx5HaR3NJXXYEtU7l4ka0ZnCuRvIXV2Bz6ugN6i/sHXYjFRWvJzN5o1usrPc9OgZWF152qOfWpKq//uhJbsPtyPtpnISIcTxcDqdzJo163Dh7j//+Q+zZ88+/O+XXnopN9xwAxMnTqS0tJRXX32V888/nylTpmjimPv37+df//oXAAaDgYULF3Lqqaf+5vMefPBBJkyYwIEDB8jJyeH111/ntttuO6bcUp0QQiXhp08k6uoZoNNRt3kdJZ++h+/gvDuhbd5mOxXfLSD/xSep27QWvF6svbsS/3/Xk3DfDQFVLHQVFFP15ucU3/kkNXMX4imvwhBsIXnGEIa/fTUDnjqPqBGd27RY6K5rJvuFJWy9+X3qM4ox2wycclcfrv1gnKaKhYqisOXL/bx56Q+U5TQQHqHjkafC+fir6OMuFgL888l63G7oNjaWtCFRLZj4+DTXu9n0iX91eFor7C4s+WYHiseHuWsalvTWXenszCnAU1GNzmohpFe/Vj2WEEKIX4oYmErshB4oPvjm6QwURVE7UkAIPtiWtLrSd4TPFG1l/hf+3YXBUWaGX6CNxV0APq9C5vfaaUdatW4vALZBvQOq40pL01stmLv4RwzUbi1QNUtYn0QMwRbstW4OZNSqmuWQ0FgrvaYkAPDxB3aV0wgA98GCoVFakh5mr3ORv6kagGiZXyhEQHrzzTfJz88H4KyzzvpF4e6QHj16MGfOnMPvP/jgg5o55nfffXe4DemMGTN+t1gI0KVLF+67777D769cufKYc8sOQyFUFDpxBPogG5WvzqUxYzvFDgdJF1+F3qx+C0LxWz6Xi9r1P1K9+nt8dgcAlu6diJh5GtaenVVOd/QUt4emjTtpXLYOZ+5PJ63BXWJJOnsQ8Sf1xmBr+5WditdHycIdFL2zkuY6NwD9T0/mlDt7ExavrfY0LruHhU/sZNvBWYUTJlv4x/Phx9V+9OfWr3Wy5FsnBgOcendfTVxc2fRJPs4mD0Hp0USNaNlZDYrXR/HXO4DW310I0LRmi/9YvQegN8v8LCGEaGtdbphIzfpc8jZWk7GklH6ndNxdR0frUGvyqiopGGqB263w6qHdhVd3wWzTzu7Cwu01NFY5MQSZiRisbptURVGoWrcP6NjtSA+x9umGM6eAmq37STx9gGo59EYDkUM7Ubkym+yVFaQOiFQty88Nv6ATGUtK+erzZu76v1CCgqRQpaZDLUkN0pL0sOyV5fi8CsGdY7AlRagdRwhxHObOnXv47TvvvPMPP+/cc88lPT2d/Px81q5dS0FBAZ06Hd8CsZY8Znl5+eG3u3f/84VhP//3xsbGY40tOwyFUFvw8P7E/eUqdGYT9r1ZFL7+H9w11WrHEj+jKAr12zaS9+KTVC5ZiM/uwJQST+wdVxJ//40BUyz02R3UfvEdRXc+RdX/PsaZW4DOoCd2Uk8G/utChv73cpLOHKBKsbAxt5wtN79Pzr+/p7nOTXyPMK5+awwznx6iuWJhzQE7r126im3zi9Dr4S/3hPLqW5EnXCz0+RSefqwegCEzOxHXTf35em6nl3Xv5wGQesHwFt9pWrk6F1dlI/rQYIKHt+48K8Xlxr7BX5yUdqRCCKEOa3wYyReMAODbf+7G7fCqnEj7QqL8C1yqZIehJiyY10zhfv/uwhEaaR1/SOb3/nak0aO7ojepW8hszC3HVdmIzmzC2qtlF5wFImsf/46k2q37UXzq7q6OGp4OQPaq8j//xDbUZWQ00WlBNDYoh0czCPUcbkkqOwwP273Mv3s7WtqRChGQGhoaWLVqFQChoaGMHz/+Dz9Xr9dz2mmnHX5/0aJFmjhmXFzc4bezs7P/9Ng///e+ffsedebDeY75K4QQLc7Wrzvx91yHPiwEZ2kxBa//i+aCPLVjCcBVXcWBd/9L6Rcf4W2oxxAdQfR155P46O0EBUh7HcXjoX7Jag7c8wx185fha2jCEhtC+lVjGfXR9fR58Ewi+qeo8r0oPoWizzez/bYPaNxbgTXUxOn39+OGj8eTPiy6zfMciaPBzQe3rKc8t4HYWD1vz43ihtkh6FugkPbdNw4yd3kICdUx+eaeLZD2xK3/MI/GKieW2FDipvRq0dtWFIXCTzYCEDJxODpT6zY9aNq4A5/dgTEsAlu6tJERQgi1pF44AktsKLXFzSx7+c9PdgWExFoBOFAkxVW1ud0Kr7zoX6U97qoumIO007BJURQyDs0v1EA7Uk+9g6C0KKx9u6Mzy0w6S9c0ws+eQp8Hz1I7ClHD/YtdizPqaKp2qpzGT6/XMeqSdADe/G8THo+0rFZTY6P/56+lHdRqcjZ5yF5VAUDMWCkYChGIMjMzD7fzHDx4MAbDn9+/DR/+0zienTt3auKYp59+OuaDnbK+/PJLvv3229+9nX379vHUU08BEBQUxM0333zM2bXzDFeIDs7SLY3Eh2dT8e93cRUUU/jOy8SfdQHhg1t+Zpg4MsXrpWbND1T9sBjF5UZnMhJ+zkmEnTq+1QsbLUVRFOybdlH76bd4yqsAsKVG0vmqscSM647OoO6aEUd5PVnPLqZ2634AekyM59xHBx5uvaU1Xo+PT/+6mYq9jcTF6/lkfgwJiS1zEqUoCq8cbG817LLumvgZ1JU288Or/gu56VeNQW9s2RPG6o35NOwpRW8xEnby2Ba97V9TFIX6b/0ruyJGjEGnl/VSQgihFoPVRLdbp5Dxt69Y/W4eQ89LI6ZTsNqxNCupdxgAO7e7VE4i5n/x0+7CkRdpa3dhyZ56ag80Y7ToiRqWrnYcIod2YvibV5O3L0LtKJqgMxqJmHEKESkVakfBEhNCcNdYmvZWkLO6gkFnpagdCYChM1JZ/moOhfvdLP7GwRlna6vLTEeyP98DQFSqPDYDZCwpwd3sxZYaSUj3uCN/gRBCc7Kysg6/3bnzkbvE/fxzfv61ah4zKSmJZ555hjvuuAOv18u0adOYNm0aU6dOJSkpiaqqKjZv3swHH3yAy+UiLi6OuXPn0rXrsS+YD4yr3kJ0EMboCOLvv5Gq1z7BvmkXZV9+hKu8lJiTz5AL3G3IcWA/ZV99grO0GABr765EXTkdU0KMysmOnjO3gJq5C3Hm+otxpsgg0q8cS+K0fqoXChVFoXzZHvJf+g5HgweTzcCpd/dh2PmdNLtj0+dTWPSPDHJXV2Cz6XjlzagWKxYCLF/qJGu3h6BgHSMv1UaL28XPZuCyewnrk0j8ycfewuDPKIpCwbtrAAiZPBpDeOu2X3Xs3ou7sASd2UT4sNaflSiEEOLPxYzpRtSIzlRvyGPJi3u4+PmhakfSrNQBEQDsy/VSX+cjLFzOCdTgdiu88u+fzS7U0O5C+KkdafiwLqqMF/gjsrtQm6KGd/YXDFdpp2BoDjIy6tLOLJuTzWsvN3L6WVbNnhu2Zz6fQkGev2AYky4FQ4CtXxUBEH9yX/mdFOIY1NfX/+J9i8WCxaLO4vja2trDb8fEHPnabnT0Tx3Pfv61ah/z9ttvJzk5mXvuuYe8vDwWLVr0m/alISEhPPHEE1x11VVHddzfo61nuUII9BYzMTdfQt28pdTNX0bN6uW4KspIPP8y9Bar2vHaNZ/TQeX3i6hdvwoUBX1wEJEXn0Hw2CEB88TQXV5F7WeLD89q01uNpJ4/nNQLhmGwmVVOB+76ZnJeXErFD/6daykDIpjx5GCiO4WonOyPlWbV8/VjOyjcXgPA0y+E07d/y138UBSFVw/uLhxyYVeCwtX/f8pdU07GdyXo9ND99qktPrvwF7sLp01o0dv+PQ2L/bsLwwaNwBAkJ75CCKEFXa6bQM2mPDK+K6Vwew2pAyPVjqRJwVEWolKDqC60s22LiwmT5XxADV993kxRoTZnFwLs/t4/X0sL7fJcNXaMwWb2lyeqHUVTFLeHytU5NGSVkX71WFXPL6OGp1M4dwM5ayrx+ZQWGa/QEkZd0ol1b+ewJ9PDyuVOJk6R+7u2Vlbqw+EAvVFHRJLs8qwptpO3sRqdDuJP6q12HNFBheU5MRq1cT99NDwef7vr1NTUX3z84Ycf5u9//7sKiaCxsfHw21brkR9bbLaf7v8aGho0dcxzzz0Xi8XCHXfcwb59+373uM899xx2u50HHnjgiK1Qf48sTxRCg3R6PREzTiHmxovRmYw0ZWey/7V/46rUzmDy9qZxTwb5Lz1D7bofQVEIHj2IpKfuJGTc0IAoFnqb7FR/9DUl9z/nLxbqIGFaP0a8fQ3pV47RRLGwekMem657h4ofstEbdUy+pSez3hmr2WKh0+5h8XOZ/O/CHyjcXkNQsI7HnwnnlGkte+K0+kcXO7a5sVph9BVdWvS2j4fb6WXhE7sASDp3CCFdW7btSlvvLnQXl9O8fQ/odESObv3ipBBCiKMT3DmG+FP6AfDtc7tRFJlZ9UfSBvuLqVs2uVVO0jG5XD+1jp9wTVfN7S6s2t9EWU4DeoOO6FHqP5fc99pKVs+YQ8MPG9WOoi2KQubjC9n/4XqaD9SoGiWsbxKGIDP2GhfFGXWqZvm5oHAzg2emA/C/OY1//smiVeTvO9SONAiDUS4Zb19wAIDwQWlY48NUTiNEYCksLKSuru7wy3333fennz9p0iR0Ol2LvMydO7eNvsu2lZ+fz7Bhwzj77LNxu9289tprFBYW4nK5qKysZMGCBYwePZrS0lIefvhhzjnnHBwOxzEfR1vPdIUQvxA8aiDGuCj/XMPyUgpe+ScxJ51BxKjx0qK0hbiqq6hYNI+mrAwADDGRRF85HVv/HionOzqKz0fjyo3Uf7EIT73/QSByaCe63DCRkC6xKqfzc1U3sfeVFZQv3wNATOcQZjw1mOS+EeoG+xN7lpXyzVM7qSv1/0xPmWbl/r+HtWgb0kNePdjeatDMzoREqz+7cPVbe6ne34Q5Opj0K8e0+O239e7C+u9WAxDcsy/maG38TQghhPBLv2oMVSsyKdhSw57lZfSekqB2JE3qNCSKbfMPsGWTzDFUw7zPmjlQ6CUk2sLwC7S3uzBzqb8dadiAVExh6u4IUnwK1Rvz8Dk8GGNl1/DP6cwmzF3ScGblUbe9iKCUKNWy6I0GIod0onJVDtmrKkjpH6Fall8be2UXNnyUx+aNbjZvcDF0hPoLXzuS/EPtSGW2MIqisHW+v2AYf3IfldMIEXjCwsIIC9NGoT0k5KeNCkdTQGtubj78dmjo8S1yb+ljlpaWMnLkSMrLy+ncuTPr168nNvana1zR0dGceeaZTJs2jRkzZjB//nwWLlzIo48+ypNPPnlM2aVgKITGWbqkkvDwbKre+AzHrhwqvv2Kxt07iZ9+Meao6CPfgPhdPrebmlXLqF71PYrbAwY9YaeOJ/yck9BbAuOkxJm7n+r3v8KV738SG5QeTdcbJhE1PF3dYAcpXh/FX++g8K0fcDZ60Olh5CWdOem2Xpht2nz4qS22881Tu8ha4W/rlJxq4G+PhbVaO5yN651s2uDCZIaxVx37IOKWVl3YxI+v5wDQ9cZJGINbtoDZ1rsLvfWNNK3eDEDkmImteiwhhBDHzhITSuKM4ez/cD2L/7WHHuPjMJhkUdyvdTq4w3DHVhdut4LJpP3uF+2Fy/VT6/gJ13bFbGv5xWMnatd3JQDETlB/wWPj3nLcNXZ0FjPW7ulqx9Eca8/OOLPyqN1ZROIZA1TNEjU8ncpVOeSsKmfKTd1VzfJzYXFWBp6dyqbPCvnfy438d4R6hdWOKH+fF4BoKRhStKOWqoImTDYDMeO08zciRHs1c+ZMBg0a1CK31bNnz1+8HxERcfjtysrKI359VVXV737tsWjpYz7++OOUl5cffvvnxcKfMxgMzJkzhwULFqAoCnPmzOHRRx/FaDz667DavGIrhPgFY2Q4cXfNonHFBmrmLqS5YB8FrzxL7ClnEz5sdEC0zNSSxuxMKhZ+ibvGf2ds7d2VqMvPwZTUsq0XW4u3vpGaTxfR9KO/EGIIttD5qjEknT0InUEbF9kacsrIeWEpDVn+Fc9JfcM5628DSOoToW6wP5G1opT592+isUHBZIJZNwRz462h2Gyt9/f1ysHdhQPP7URYvMorwhWFRf/YhcfpI2JwGrGTeh75i45R9Ya8tp1duHw9ituDJSkFWyf1W3QJIYT4rdQLh1OycAeVeU1s/qJQk/Ph1BbTOQRbmInmejd7Mt30HxgYi9vag7nv2yk+4CU01sLw89PUjvMbNcV2DuyqQ6eDmHHqzy+s3pAHgLVPV3Qmudz0a5aenQGo216EoijqzjEc4c9StKMWe62LoAjt3K+Mn9WVLV8U8sMyJ3sy3fTq03Lz48WfO7TDUAqGsPWrIgCixvbEGKSdvw8h2qvZs2e32m3/vICYl5d3xM//+ef8uvio1jG//vrrw2+fcsopf3pbKSkp9O7dm8zMTOrr69m9ezf9+/c/mthAAM4w3LNnDzab7Rd9aYXoCHQ6HaGTR5L42O1YenZGcbooX/AZB979H+66WrXjBQR3TRUHPnyT4vdfx11ThSEijJibLyHunmsDolio+HzUL1lNyX3PHi4WJpzalxFvX03y9CGaKBZ67C5yX17O1lvepyGrFEuIkdPv78d1H4zXbLFQURSWv5LFh7dupLFBYdBQE18uiuEv94S1arFw2xYXa350YTDAuFnqX+DJWl5G9spyDEYd3W+d0uKPr4qikP9O2+0uVDweGr5fC0DkmEnyfEEI0WbkfOXYGIMtdLp8NADfz8nG2eRROZH26PU60gYdnGO4UeYYtpWaGh9z/tUAwOQbu2Oyam93YeaSg+1I+6dgjlT/Av+hgqGtf8svPGsPLN06oTPocVY04CyrVzdLbCjB6TEoCuSuOfLOh7YUnRZMn5MTAXjtFZll2JYOzTCMSVf//kRNHpeXHd8WA9KOVIj2oE+fPugPjvbaunUrXq/3Tz9/48af5jD369dPE8csLi4+/HZ4ePgRj//zXYqNjcf2WKr+1eVj4PP5mDVr1nENaxSivTDFRRN/73VEXnwmOpMR+94sCl55htqNa1B8PrXjaZLP46FqxXfkv/Q0TXt2+duPTptA0lN3ETxiQEBcyPPZHZS/8A41HyzA2+QkpHscg/99MT3/epomLg4A2Itq2Hrrhxz4YguKD/pNS+LW+ZMZeXFn9Abt/oxzV5Wz4uVsAC67Koj3PommW4/WW8WqKApffmrnhquqAeh/ZiqRyUGtdryj4Wh0881TOwFIvmAEQWkt3+648sccGrPL0FtNhJ3e+u1Bm9Zuw1ffiCE0jNC+A1v9eEIIAXK+crwSzxiALTmCpmoXP7yWq3YcTUo72JZ03Rqnykk6jv8810BdnUJ891CGnpeqdpzfpaV2pJ5GJ/W7/XkCZR58W9NbzJjSUwCo3VGkchqIHJEOQPaqcnWD/I4J1/rHNSxa4GB/viwkaQsOh0JR4cGWpGnauMaglsylZTjqPZhjQogYpM37fyHE0QsNDWXs2LEANDQ0sGrVqj/8XJ/Px+LFiw+/P23aNE0c8+dzDQsLC494/IKCgsNvR0cf2zW+gCoYvvjii6xdu5bg4I79wCWETq8n7NRxJD56O+bOKf5i0oLP2P/aizgOHPlOoyNpys2iYM6zVC37FsXtwdq7K4mP3k7khaejt7XsfLbW4i6vovTxl3HsyEJvMdL99qkMeelSwvokqR3tsKp1+9h567vYC6oIjbNy+asjOf+ZoYTGts7sv5ZUtb8JgMlTLTz4aHirzgXK2uPmsplV3HdXHXW1CrFdQph8i/oXVL57LpO6UgfWxHDSLhnZ4rfvdbrZ978fAAg9dQKGsJAjfMWJUbxe6hYsByBy1Hh0Bu3tCBBCtE9yvnJ89CYDXa73LyZZ/fY+KvJkR8mv9ZoUD8CqH5zU1MgiwdaWtdvN3PftAJxxXx8MRu1dOqkvc1C4vRbQRjvSuowD4FMwxkdjjJW5c3/k0GzHxr0V6gYBooalA/4dhoqiqBvmV5J6h9NjfCw+n+wybCubN7jweiEs3kpYvPbP41vTug/zAUic1l8TnZyEECfuoosuOvz2c88994efN2/evMPtQUeNGkV6eromjvnzlqIffPDBnx53xYoVHDhwAICoqCi6dTu254kBc6+3d+9eHnzwQcA/2FEIAabEWBIevInIS85EZ7XgPFDI/v+9QNmCz/Dam9SOpypPfR3Fn7zLgXf/i7uqAkNEKDE3XUzcPddiTo5XO95Rc+zeS/lj/8FdXI45JoRBL1xE0lkDNfOkVfEpFLy/loyHvsTR4CFtcCQ3fDyebmO13+L1EHezfxVlRGTr/UwbG3089Wg9M6ZVsnmjG5tNx8l/6c2Nn00kIlHd3YV711Sw+bP9APS8+1QM1pbfXVn02WYcpfUYosLbZnfhum14yqswBAUTMWJcqx9PCCFAzldOVPSYrkSN6IzXo/D1Exmau3ittvjuoST2DsPthm/mN6sdp11TFIXHH67H54O+pyTQZUSM2pF+V+b3B9uR9knEEtO6rd6PRlBaNJ2vG0/o1DFqR9G00JPHMOK9a+l6Y+s/Jz6S8H7J6K1GGiudlGY1qB3nNyZc57/AOe+zZspK/7yVmzhxa1f5d7B3HRUTEF2YWktZTgP7t9WgN+pIPHOA2nGEEC1k1qxZpKX551EvWLCAOXPm/OZzcnJyuOWWWw6//9hjj/3h7aWnpx8eP7FixYpWP+Yll1xy+O0nnniCRYsW/e7n5eTkcOWVVx5+/7LLLjvcGvVoaeOK8xEoisK1116L3W5nxIgR3HbbbWpHEkIzdAYDYaeMI+kfdxE0ahAoCnUb15D/739Qt2VDh2tTqni91Kz5gbyX/kHjrm2g0xF68lh/+9GRAwPqiW/Dig2U//MNPA0OQnsmMGTOpYR2106x09PkJOOR+eS/vQZFgeEXpnPlG2MIjQms1Yhup/9vpDXmFSqKwjfzmzl9cgXvvN6E1wt9Tk7kpvknMW5WN4wmdR+Gm6qdfPHAVgCSzhlExMCWb7firGxg/0cbAIi8YBp6S+sOjFe8XurmL/Mfb+wk9JbA2EkshAhscr5y4nQ6Hd1mT8Fo1rN3XSW7FpeoHUlzBp/tb2U47zMpGLamxQsdbFznwmKB0+7urXacP5SxxP83EjNe/W4VALbEcNIuHEHYyWPVjqJpxugIbInhmjgv1ZuNRAzyX8jUYlvS9CFRdBoahdsNb/6vYy+IbgtrDhUMR2tzkURb2XRwMW3UqG5Yolu3M44Qou1YrVbeeOMNTCb/IvnZs2dz1lln8dprr/Hhhx9y9913M3z4cEpL/QuyrrvuOqZOnaqZY86aNYtRo0YB4HQ6OeOMMzjrrLOYM2cOn332GW+++SbXXHMNAwcOZP9+//1Yly5d+Nvf/nbMuY3H8822tVdffZUVK1ZgMpl4/fXXj7kqKkRHYIwII/bGi3BMHE71e1/hLi6nbN5c6jauIWrCSQT37IuuHf/tKB4Pdds2Ur3yezy1/tlw5q5pRF9xLuZO2mndeTQUr5eaj7+h4bvVAMRO7unf+WVpvbl6x8peWE3Gw19h31+NwaTnzIf6M2R6mtqxjovb4V+tarG2/En7v55p4H9z/Ce3UalBnH5/f7qP08buS0VRmPfQNhornQSlRdHlugmtcpy811fhc7ixdO9E0MjWnyXYtG47nrIq9LK7UAjRhuR8pWXYkiJIvmgkBe+uZfHze+g9JR6jWdpKHzLg9CS+ey6Tndvd7M1x07W7dp4bthfNzQpPP14PwJhZ3YlMUrcTxB9pqnaSv9l/zhMzrrvKacSxyi+KJT1F/ZakANEjOlO9bh/ZP1Yw8Vr1W9v+2qTru/HODRv45AM7198cTHSMPCa0hppqH5m7/LMiu45q+Xn2gcLt8LJ1gX++aOIZsrtQiPZm6tSpfPzxx8yaNYva2lq+/vprvv7669983nXXXccrr7yiqWMajUa++eYbrrzyShYsWICiKH94WwAjR45k7ty5xzy/EAKgYLh//37uvfdeAP7617/+ol+rEOK3Ds3oq1+ymrp5S3Ec2E/xR29hio4lcuwkwgYOQ29qPxcXFI+Huq0b/IXCuhoA9GEhRMw4hZAJwwKuSOqzO6h45UMcO7MBSL9qDGmXjtLECtRDKtfkkvvMQpyNHsLirFz4wjBS+keqHeu4eQ4WDFt6h+GCec2Hi4UTb+jO+Ou6Y7Jo5wR3/Yf5ZK8sx2DS0/uBM1qlFWl9ZjFlSzMBiLzkrFb/Pf757sKoMbK7UAjRNuR8pWWlXjickm92UlvcyIaP9zPm8s5qR9KMkGgL3cbFsWdFOfM+b+au/2s/z+m14vVXGikp9hGeaGP8rK5qx/lDu5eVofggpHsctsRwteNgL6qhIauUhtiBGGV84RHZt+0h4/VVRAxMJXn6EFWzRI3w38cWbquhuc6NLVxb9yvdxsSQ3DecAxl1zHmhkb89rv7ve3u0brV/d2F899CA6xjUknZ9V4Kj3oMlPozIoZ3UjiOEaAXTp09n1KhRvPLKKyxYsID8/HwcDgeJiYmMGzeOa665hokTW7ZteEsdMzIykvnz57Ny5Uo++OAD1q1bx/79+2loaMBms5GYmMjw4cO54IILOOuss457EavmC4bXX389DQ0N9OjR47i2UArREemMBsKnTSBk9GDql66mcdk63FUVlM//lKrvFxExcjwRI8ZgCApWO+px83k81G9ZT/WP3+OpqwXAEB5K2OkTCZk0otXbHrYGT1Ut5f96C3dRGXqLkV73TiN2gjZaDAH43F7y3viRos82A9BpSBQXPDeMkJjALsoc3mFoabli1s7tLh78ay0A467pxpTZvVrstltCaVY9S573F/I6Xz+RkK4tv+tR8SnkvrwcgODxQ7F0TmnxY/xa0/odeMoq/bsLR0o7LCFE25DzlZZlsJhIv2I02c8vYcV/cxhybgrWUG1dwFbToLNT2LOinAVfNnPHX0MxGLSzqCzQFRV6eP2VRgCm/bU3Zpt2Fnr9WsZSf+sqrewurFyZTd6bqwgatp/Y2ZepHUfzPBVV1KzKxefyql4wtCaEE9QpGntBFblrK+h/mra68+h0Ok69qxdvzlrPxx/YuezqYLp01fylzICz5kdpRwo/tSNNPL0/Or08vgrRXiUmJvLoo4/y6KOPHvdt5Ofnt/kxD5kwYQITJrROlzDQeMHwrbfeYvHixeh0Ol577TUsslNAiGNiiAglcuZphJ8xmcaVG6n/bhXeqlqqli2ietVSwgYOJ3zICCxJqZrawfZn3DVV1G3dSP2W9Xjq6wD/9xl2xiRCJo5Abw7MC0quwhLKn38Lb0095uhg+j02ndAe2plX6CirJ/Oxr2nY45+VMvqKLpx8R28MKs/gawluZ8vuMCwv8zL7uhqcTugxIY6TbtVWsdDV7OGzezbjcfmIGtWFpHMHt8pxypZm0rCnFIPNROR5p7XKMX5O8fmom/89AFFjJqK3dNyVsUKItiPnK60j4dR+FH22Gfv+ala9vY+pt/ZUO5Jm9JoUhzXMSGmJhw1rXYweJ79zLeWZxxtwOqHz8Cj6npygdpw/1FzvZt+6SgBix2ujYFi36wAAlu7p6gYJEJZu/p1L9btLUHyK6oWJqBGdsRdUkf2j9gqGAF1GxNBzYhxZP5Tz/D/qeek12cbakhRFYfUqFwDdOnDBsHxvAwVbatAbdCSc2k/tOEIIoRrNFgyLi4u58847AX8P15aqmjqdTpxO5+H36+vrW+R2hdAyvc1C2KnjCD1pNPaNO6lb9APu/SXUbVxD3cY1mOMSCB8yktCBQzEGa2+os8/tonH3Tuq3bMC+L+fwxw2RYYSdMYnQCcPRBWihEKA5I4eqOe/htbsI6hRN/ydnYI0PUzvWYZVr97Lv2YU017uxhpqY/vggek3R7kWUY+VpwRmGLqfCrTfUUFbqI7ZLCOc9PQS9xlb+L342k4p9jZijg+l596mtsljA2+wi740fAQg9ayqGiNAWP8avNa3bjqe0Er0tiIiRMrtQCNH6WuN8Rc5V/HQGPelXjyPzkfmsfjePkRd36tAt0n7OaDYw4LQkNnyyn3mfNUvBsIWsW+3ku0UO9Ho4476+ml5MmfVDGV6PQlCnaILS1J81pnh91GUUA2Dpma5umABhTk0EoxFPg4Pm4lqCUtQd7xA1sjNFn24i+8dyfD4FvQZ3Vp16Zy9yV5WzdLGTTetdDBsZeB2FtCo/z0txkReTCToN7bjF2E2fFQIQOaorlhjtXRcTQoi2otmtITfddBO1tbUkJSXxzDPPtNjtPvXUU4SHhx9+SU1NbbHbFkLrdEYDwaMHkfjIbcTfex1BowahMxlxlZdS8e1X7PvnI5R8+h7NhflqRwXAXVtNxXdfs++fj1D62Qf+YqFOh7Vvd2JuvJjkZ+4hbOqYgC4W2rdmUvH8W3jtLsIHpDDohYs0VSws+WYHGQ/No7neTXL/CG78dEK7KhbCTy1Jy0q9J3Q7RYUebrqmmu1b3ISH67j4PyOwhmjrdzNzSTGbPi1Ap4Ne90zDHBHUKscp+GA9rqomjHHRhJ3c+q1B/bMLD+4uHDtJdhcKIdpEa5yvyLnKT2LGdSO0VyLuZi/LX8458hd0IIPP8bf5/m6Rg4Z6n8ppAp/brfDE3/3F+REXdSKhh3aei/+ejCUH25FqZHdhU0EV3iYnOovZXwgTR6QzGjCn+X9WDVmlKqeB8L7JGGwmmqpdlGTWqR3nd8V1DWXIjDQAnnmiHp9PUTlR+7FsiQOAtGExWII0u6+kVbkdXrZ+VQRA4hkDVE4jhBDqOq6C4aRJk9DpdC3yMnfu3N/c/ocffsj8+fMBeOmllwgPb7mhxvfddx91dXWHXwoLC1vstoUIFDqdDmvvrsTeeBEpLzxA1BXnYu6cAl4vDTu3Uvjav8l78SnKF35BY1YGvp+tdG9NPreLptwsKr79ivyXniHv+cepWbUMX3MzhugIws+dSvKz9xD/12sIHjUQnSmwn8y6Cg5Q9d8PUbw+Yif2YMA/zsMUqp1Ch6umiYL/+WfQDb8wnVnvjCUyuXUKTGqK6eLf/fbyi43cf3ctdvvRXXjzeBSKCj2sW+NkzgsNnHlSBatXujCZ4ZxnRhKdpq0ZoVUFjcx7aDsAKRcMb7Uh7o255RR9ugmAyIvPaJO/04bl6/GUVmIICpbdhUIIIHDPV+Rc5Sc6nY4u140HYONn+ynZ0zF3W/6elAERxHUNoblZ4YN3mtSOE/Be+XcjOVkewiN0TLlFO/PDf4/L7iFndQUAsRqZX1ifeXB3YZdUdAbtzn3UGnN6MgBN+ypUTgJ6k+HwuUH2KvXz/JEpt3QnKFjHjm1uFn3tUDtOu6AoCp/NtQPQ56T2tTD4WGydX0RzvRtLfBhRrXSeLIQQgUJzV9vLy8u5/fbbAZg+fTrTp09v0du3WCwyW0SIn9EH2widMorQKaNw5h+gYekamtZtw11VQW1VBbXrV4HBgC2tM8FdexLUrSfmuAT0xhO7+1AUBZ+9CVdVJc2F+dhzs2jevxfF7fnpk3Q6LL06E3bKOGwDe6HTa3ZT9DHz1NRR/sI7+BweIoak0eu+09EbtXWCnffGKpyNHpL6hHP6ff0011qzpZz2177Ywkys/G82X3zSzDfzm4mM0hMWric84uBLuI6wcD0NdT4K93spKvRSUuzF+6tNienDojnzof7Edmn9FpzHwtXs4eM7N+Ns8hDeP5n0q1tn15/P4yXr2W9RvD6ChvUjaHCfVjnOz3kb7dR9uRSA6JOmye5CIUSra83zFTlX+aWIganETuxBxQ/ZfP3kLq59Z7SmW0W2FZ1Ox8QbuvHpPdt4639NXHZVMCGh7ed5clvatsXFf19qBOC0BwYRFK7tNoc5qyvwOH1YE8IJ7hqrdhzAP4cPwNwtTeUkgeXQbsxGDRQMASKHdaZyVS45qyqYfKM2itG/FhpjZfSs7nz/n2ye+0cDU0+xtshYiY5s7SoXeXu9BIfoGHRWstpxVOHzKax5Nw+AlBlD0Bnk8VQI0bEd1xX/mTNnMmjQoBYJ0LPnLwfYz549m8rKSsLDw5kzZ06LHEMIcXQs6clYrj2fqEvPwpG5l+Zd2Th25eCpqKY5L5fmvFxYuhB0Ooxh4Zgio396iYrCGBbhvyGfD8Xn++m14sPraMZdVYm7uhJXtf+1z/HbVYGGyDCs/Xpg698Da5+uGEK0tUurJficLipeeBdvTT1BaVH0/dtZmisW1u8pofTbXQDtulgIoDfomHxzT9KHR/PFfVupL3NQUuyjpPjIOw0NJj0RyTYik4MYcEYKA85M1tyFTJ9P4csHtlGWXU9wlJneD5zZar9vhXM30Li3AmOYlajLz2mVY/xa3Vff42uyH57FKoQQIOcr7UmXGyZSu2EvBVtq2L6wmEFndswLmr/W/9QkVrySQ0VeE++/Y+fG2TJv6VjZ7T7uvaMWrxcGnJFE/2lJakc6osylh9qRdtPMc86GgwVDS1cpGB4Lc2oCerNRM4tio4anA1C4o4bmOje2cG2NVjhk7BVd2PjJfoqLHLz3VhPX3iT3fSfi/bf9u9T7n52GJVhze0raRNYP5VTmN2ENNZIwrb/acYQQQnXH9Wgwe/bsls4BQF1dHZ9++ikAffv25Y033jiqr3v88ccPv33dddcRHx/fKvmE6Cj0NitBQ/sSNLQviqLgKavyFw93ZuPIykNxOPHU1eKpq6U5f+8JHcsQFY4pJQFb3+5Y+3XHlBSnmZPf1qD4fFT+dy6uggOYwm30e3w6xhBt7YhSvD5y/u2fBzfwrBRSB3WMweedh8dwx6KTqCttprneTXOdi+Y69y/etoQYiUwOIjI5iIjkIELjrOj12v59XfbSHjKXlGAw6uj24PRWG+DeuK+CgvfXARBx8bkYwlt/l6W7tIKGZWsBiJ12rrTBEkIcJucr7Yc1Lozki0eT/+YqFj+3m96T4zvsRc2f0xt0TLqxO5/eu403X23kwkuDiIzURuEhUDz7RAMF+V7C4q2cdX8/teMckcftY88P5QDEaKQdKUD/f5xHw55SGuLT1Y4SUMxdUhm34FbN7GayxocR1Ckae0EVuWsr6H+aNgvoZpuBk2/ryecPbOfVlxqZcYGNqGg5BzgeRYUeli/1j58ZeVG6umFUtPqdfQDETBuEMUjbu8yFEKItaOpMS1F+Glq8Zs0a1qxZc1Rf99BDDx1++8wzz5QTcCFakE6nw5QQgykhhrCpY/ytRBua8JRX46moxl1RhaeiGk95Nd7aBtDp/Cc9er1/taTB/1pnMWGMjcYUH40xPhpjfAzG2Cj0Zm2uXGwttZ9/R/OWTHQmA30fOQdbUoTakX6jeMF2GrPLsIYaOeXO1m8pqSUGk56o1Pazq3XrvEJ+fC0XgG53nkrEgJRWOY7i9ZH1z8UoHh+2wb0JGjWwVY7zazUfLwKvj+AefQjuqu2ZQ0KI9kHOV9SROnMoZYt30XCgluWv5nDaXb3VjqQJ/U9L4sc39lKa3cDLLzTwwCMtM0uzI1i53MFH7/nndp33xEDN7qb6uX3rK3E2ejBHBRPWWzvFHGtcGKWurmij7BU4dHo9BSXxpKdooyUpQNSIdOwFVeSs0m7BEGDgWcms/SCP4sx6Xnqhkb89Jvd9x2Pue3YUBbqOjiG2S8fcqXlgVy35m6rRG3WkTB+idhwhhNAETRUMhRDap9PpMISFYAgLwSJzKo5J46rN1C9cAUDPu04hvJ/2Wmo5qxopfHslACfd1puQGJmjFKjyN1ay4JHtAKRdMpKEU/q22rEKP9lIY3YZxhALUVdOb5Ndwo7de2nemgl6PbGnntXqxxNCCKEevdlI15sms+vBL1nzXh5Dp6d22IubP6c36Jh2Tx/eunY9H71n5+IrgunSVU7xj6Sm2scDd9cBMPqydLqOilE50dHJ/L4MgJix3dBpvMOFCExRwzpT9OlmclZXoCiKZjv/6PU6Tru7N2/OWs/H79u57MpgunST+75j4XAofDrXv2hi1CXp6oZR0ap3/LMLYyb1whLb+h1yhBAiEGhqEVhERASKohzVy8/9/OMtNatECCFakiM7n+q3Pwf8xZv4qdrcubfv1R9wNnpI7hfBsPM7qR1HHKeqgkbm/mUTXo9C7IQepF81ttWO1VRQRf67/rag4RefjTEirNWOdYji81H90dcARAwfgzlWduoIIdqGnK+oJ3pUF6JGdcHnUfj2n7vVjqMZXUfF0GtSHB4PPPN4vdpxNE9RFP52Xx0VFT5iu4Rwyh291I50VHxehd3fH5xfqKF2pAXvr6Xgg3V4qmrVjhKQmjbuZNN175D9wlK1owAQ3j8ZvdVIQ4WT0qwGteP8qS4j/Pd9Xi88+6Tc9x2rhV81U1erEJFso+eEOLXjqKKm2E7Gd/4ZrKkzh6mcRgghtENTBUMhhGiP3BXVVM95B8XjI2Z891Yt3pyIms0FlC/fg04PZz7UH71BmytKxZ+z17n44JYNNNe5Ce2VSM97T2u1VeiK10fWs4tR3F5sA3oSPKZt2rg0rd6Ce38JOpuV6EmntMkxhRBCqK/rjRPRG3RkrSwnb2OV2nE049S7emM0worvnaz50al2HE376vNmlixyYDTC+f8YhMkaGLPPCrZW01TtwhhqJXxg67SYP1aKolD0xRby31qNt07bxSUta8qrpDGnTO0YgH83d8QgfxehnNXaaZX6Rw7d9y1f6uTbhc1qxwkYiqLw/ttNAIy8sFOHPe9f90E+Pq9CxOA0Qrp1zKKpEEL8HikYCiFEK/I1O6l44R3cdc2EdI+j1z3TNNlCyOfykPOf7wEYcVFnkvpEqBtIHBeP28fHf9lEVUETlvgw+j12DgZL683kKfp8Mw17SjAEmYm6akabtC3yOZzUfr4YgJgJp2AIlpZ0QgjRUQSlRJFw+gAAFv9rz292cnZUsZ1DGH5hOgD/eKwej0d+Lr+nqNDDY3/z70SadHNPkvoEztyzXd/6d8HEjOmK3qiNIqejpA5PvQOMBsypiWrHCUjm1AQAmvIrUbw+ldP4RQ3vDED2j+UqJzmy2M4hjJ3VDYBHH6ynplobP0Ot27rZze4MDxYLDJ2RqnYcVbiavWz5sgiAlPNkdqEQQvycFAyFEKIV1X31Pe4DZZijg+n32LkYbK1XvDkRVev20VxUQ0i0hSmze6odRxwHn09h3gPbyN9YhSXYSP/Hp2OODG614zXuLSfvrdUAhF94FsaotrnoVvvlEry1DZgiowkfOa5NjimEEEI7Ol0+GrPNQNGOWrZ/fUDtOJox+ebuhIfryN7j4X9zGtWOozkul8K9d9TS1KiQNiiS8bO6qB3pqPm8ChlLDrYjnaid5+kNe/xFTHNaEjqTzI87Hsa4aHQmIz6nh+aSOrXjABA1PB2A/dtqcDS61Q1zFCbf2I24biFUV/l47CFt/Ay17uUX/Y8RfU9PISjCrHIadWz9qpDmejfWhPDDRXIhhBB+UjAUQohW4i4up2HJKgB63HkKlhjtDtGuWJkNwKBzUrGGarOoKf6Yz6fw9aM72LnoAHqjjh4PnUNw55hWO5632cXuJxb6W5EO6k3IhLaZ+eDML6LhO3+RMu7MGeiNcnFKCCE6GnNUMMkXjwbg2+f2BMQF7bYQFG7m5PsGAjDnhUZ2bHOpnEg7FEXh0Qfr2LzRTVCwjvOeHIjBGDiXQgq2VtNY5cQYYiFycJracQ5ryPHvQLN01kaL1ECk0+sxJsQC0FxUrXIaP1tSBLbkCHwehbwN2m/9bDQbOO/xgRgM8M0Ch7QmPYI1PzpZ9YMTkwkmXtdN7Tiq8Lp9/PjmPgBSzh+KzhA4jwdCCNEWAvZeUVGUwy9CCKE1iqJQ/eECFK+PqFFdiB6p3VXMXqebuvW5APQ5RdoJBRpFUfjmyV1s/nw/Oj30vGcaUcPSW/V42f9agn1/NYaIMKJnndcmrUgVr5fqt74ARSF0wBCCu/du9WMKIcSJkPOV1pMycyi25EgaK50sezlH7TiaMfCMJPpPS8Lrhb/eVktTk7TnA3jj1SY+m9uMXg/nPTOU6LTW68DQGjK+8+8ujB7TDb1JG+1IARpz/QVDc6cklZMENlOiv2Bo36+NgiFA5MFziUCYYwiQ3C+C8df6i1+PPFBPVaVX5UTa5PMp/PMpf1vmoeenB9x9YUvZ8U0xtcXNmCKDSDitn9pxhBBCcwK2YCiEEFpm37gTx64cdCYD3W6apHacP1WzMR9Xs5eIJFtAzXIR/ovR3z6TwcaP89HpoMfdpxE3pXULaSULd1C+bA/odcTcfAmGsLaZIVi/eBWugmL0wTZiTzunTY4phBBCm/RmI91mTwFg3Qf5lOU2qJxIG3Q6HWc/2I+weCsF+V7+8Wi92pFU992iZv75lP/3Y9q9feg5MV7lRMfG51PIWOpv/Rk7obvKaX6iKAqNOWUAmDslq5wmsB0uGBbWqJzkJz8VDCvVDXIMJt3YnYQeodRU+3jkgXpZrPM7Fs53kLnLQ3CIjsk3dszdhT6fwsrX/YulU2YOxWCR7kpCCPFrUjAUQogW5q1toPb9LwBIu2g4tuRIlRP9uUPtSPucnNgmO8VEy1AUhe+e38269/MA6H7nKSSc0rdVj9mQU0bunOUARMw8DWuP9FY93iHu8irq5i0FIPbkczCGaLe9rxBCiLYRNTydmHHd8HkVvn5il1wcPsgWbmLmUwPR6eDTj5pZutihdiTV7Nzu4p7bawEYdUknRl8aeHOqirbX0FDuxBBkJnJIJ7XjHOaqasLn8oLRgCk5Tu04Ac2UkkBQejTmKO3s9ooclIrBqKOmyE7V/ia14xwVo0nPjCcGYjTCd4scLFrQce/7fo/d7uNfz/gXT4y+ujvBURaVE6lj9/elVOQ1YQ0zknTmQLXjCCGEJknBUAghWpCiKFS99Tmeegch3eJIu2SU2pH+lM/loWqdv39/n5OlnVCgUBSF7/+9hzVv7wWg++1TSZzWv1WP6Wl0kPnogsNzC8OmTWjV4x2iKArV78xDcbmxde5G2ODhbXJcIYQQ2tf1xkkYLXryNlazc1GJ2nE0o8uIGMZe6W+H/3931pKb3fHmPBYf8HLzrBocDugxPpZp9/RRO9JxyVh6sB3pqC7ozdqZ3WyJCWHs/NkkPf4XdDJT+oQED+/P8NevovPVY9WOcpjBZiakr382ZaC0JQVI6h3OhOv9O3EfebCOinJpTXrIv59rpLjIS3iijTGXB97iiZagKAo/vObfXRh39jCMwR2zaHq8ZGGWEB2HFAyFEKIFNa3aTPP2PehMBnrdO01Tc0Z+T/XmArx2F2HxVpL7R6gdRxylFa9k8+PBVirdZk8h6azWXR2pKApZ/1yMo6QOQ0wk0ded32a7UZvWbMWRkQNGI/Fnt91xhRBCaJ81IZyUi/2Lsxb9MxOn3aNyIu2YentPOg2NorFB4cara6iu6jgXzhsbfNx4dTUVFT7iu4dywbODMRgD79KHoijsOji/MHZCD5XT/JbeaMCUEKN2DNFKoob5d7TmBlDBEGDidd1I7BVGXa3CIw/USZED/27rd9/w7xQ9+6F+mIM6ZpE/d00lxZn1mG0GUqYPUTtOQFAUheoNeWy/51NKv81QO44Qoo0E3rNmIYTQKE9lDbUfzQcg/aoxBHfW/gl05c/aker1UogJBD/8L5sVr/j/37reOInkcwe3+jEPfLGFylW56Ix6Ym++BENwUKsfE8Db0ETNR18DED3xFMzRsW1yXCGEEIEj9YLhWBPDaSh3suLVHLXjaIbRpOeSF4YSmRJEUaGXW6+vweVs/xfOPR6FO2fXkr3HQ0i0hctfHo41JDBnVB3YVUddSTNmm4HI4elqxxGtKL8oFkVR8Hm0U9g/NMdw3/oqPC7t5DoSg0nPjMcHYjLB0sVOvp7XsVuTejwKf/u/Onw+6D8tiZ4TOm4L4cO7C88YhCncpnIabfO5PJQs2smm695h5/1fULtlPyVfb1c7lhCijUjBUAghWoDi81H5xqf+3Xp9k0idOUztSEfkc3upXONvadnn5ESV04gj8fkUvn02g2X/yQKg87XjSZk5tNWPW5dZzL7/rQQg4qIzsXRJbfVjHlLz0df4Gu2Y4xOJGje5zY4rhBAicOjNRrrd4n+MWP1uHhX7GlVOpB3BkWYunzOM0DAdmze6eej/2vduG59P4bGH6lm53InVCpe9NIyIxMC9KHyoHWn4iK4YLNopeiqKwrY7P2bPM9/irZe/t5ZQ9e48Vp31H8qWZKod5bCQrnGYo4JxNXvJ31yjdpxjktgrjAk3+nflPnx/HdlZHa8t8yHvvN7E7gwP4eE6zrg3MFszt4T8LdXkb6rGYNK3yTl0IFO8PjZe8zbZz32HPb8KQ5CZ0FPHEXHDFWpHE0K0ESkYCiFEC7BvzsC5ex96q5Fe95yGzqD9u9f6zGK8TU5Coi2kDopSO474E26nl8/+upm17/rnTXa5fgJpF41o9eO6aprY/dgCFK+PoBEDCD1pdKsf8xD7tj00rdkKOh3xZ1+AzqDt9r5CCCHUEz2qK1GjuuDzKCz8R0a7Loodq7iuocx4djgGA3z1eTPPPtnQLn8+LpfCvX+p5eMP7ABMf2oIKQHcbl9RFDK+88/l1Fo7UldVI3U7iihbmonOKjPAWoLOoMfncGPfX612lMN0eh1RI/yz7rJ+KFM5zbGbMKsrnYdHYW9SuGlWDVWVgbNLsqVk7Xbz7+caAJhyd39CYjru3+uhDgRxp/TDEhOqchrt8bl/+vvQGfREDUvHEBVOxIWnk/TP+4m6+EyMMZEqJhRCtCXtX9EWQogAYF+/A4DkcwZjSw6QJ1IHZ8GZg43SjlTD7LUu3r1uLRnflWAw6uj1f9NIvWB4qx/X5/KQ8ff5OCsaMSbEEn31jDabH+itb6Tqzc8AiBg1AVtqpzY5rhBCiMDV7aZJGM16ctdUsuvbErXjaEr3sbGc9VB/AN78bxPPP92+ioZ2u4+br6lhwZcOjEaY+dRA+gZ494zSrAaqC+0YLfrDRRutaMqrAsCUEIverJ2dj4HMGBcNgKO0TuUkv3Tody8nwOYYgr816cX/GkpUahAHOlBb5kMaG3zcdmMNTif0GB/LkHNT1I6kmn0bqshdU4nBqCO1DRbdBhLF66P46x2sv+w1GrL9CwPyi2IxTJtO8jP3ED5tAvogq8ophRBtTQqGQghxgnwuN45duwHtrQD+M+ZI/xy6piqnyknEH6kubOL1y1axf2sN1lAjfZ+aSfzU1m8lo/gU9jzzLfUZxRhDLMTddjl6W9ucKCiKQtWbn+Orb8Qcl0DM1NPb5LhCCCECmy05kuSLRwGw8OlMHA0dtwXd7xk2M40zH+gLwGsvN/HiPxvbRdGwpsbH1RdXs+oHJzabjkv+M5xBZwX+hfGMJf6id/iwLhhsZpXT/FJTQSUApqSOOwutpR3auaO1gmHkkDT0Bh2VeU1UF9nVjnPMgiLMXPaSvy3zlk3tvy3zIYqi8OA9dRTkeQlPsDLzqUFttvBTaxRFYcmLewCIP2MgtsRwlRNpg6IoVK3fx6br3yXnhSW4qprI+iCT/KJYAPRBVnRG6fAjREclBUMhhDhBjp3Z+BweLHGhhPSIVzvOUTtUMHQ2eXA7Ol6LFq0r3F7Da5euoqqgCUtcKP3+dSmRg9Pa5Nh5b62iYkUWOqOe6FuuaNMLQo0/bKR5224wGkiceRl6k6xcF0IId71D7QgBIe3C4dhSImmsdLL04Mxf8ZNRF6dzxv/5Fx69+p9Gnni4Hrc7cC+eFx/wcul5lWzf6iY8QscVb4ymx/j2UcTKWOKfXxg7vrvKSX7Lnn9wh2Fy4Jz3aJ0x1j8ewlFar3KSXzKGWAnpnQRAbgDuMoTftmV+7eUmtSO1ug/esfPtQgcmE1z03BCCIrS16KAtZf1QTuH2WkxWPWmXjFQ7jiY05paz457P2PXAl9gLqjCGWom89Cyir56hdjQhhEZIwVAIIU6QfdMuAGLGdQ+olXuGYAs6k3/VWKPsMtSUzCXFvH3NGuw1LkJ6xDPkpUsJTo9pk2OXfLODwo82ABB11XlYe3dtk+MCuEsrqflwAQAxJ52BJSGpzY4thBBatvHat8h9aRnNJdrafaI1erOR7redBMD6jwo4sKtW3UAaNPqyzky7pzcA779t5+qLq6koD7yFYzlZbi6eXsm+XP8OmivfGU/qgAAZC3AE5XsbqNjXiMGoI3pUF7Xj/EZTgRQMW9qhHYaeBgeeRm2dlwVyW9JDuo+NZdr/+XdYP/90A0u+bb+LcHZud/H0Y/7C88l39iF1YPu4XzweiqLw/ZxsABLOGYolOkTlROrbP3cDm29+n9qt+9GZDIRNm0DiP+4l7OSx6IxGteMJITRCCoZCCHECFI8H+7aD7Ug1uAL4z+h0OswR0pZUS3xehSUv7ObjOzfjcfqIGtWFQc9dgDkquE2OX705n+wXlgIQfs5JhIwb2ibHBVA8Xir/9zGKy42tczciR09os2MLIYTWKU4vB+ZtZcOVb5D5+NeH58yI34oc0om4k3qjKPDVozvxeQN3B11rGXtFFy55cSjBITo2bXBx3hmVbN3sUjvWUVu/1sllM6soK/UR2yWE694bQ1zXULVjtZiMpf7dheFD0jGGaGt2lKIo2KVg2OL0Vgv6UP/zfa21JY0ang7A3nWVeNw+dcOcgFEXpzPyYv9c9HturyVzV/trW523z8NNs2pwu6HvyQmMvixd7Uiq2r2sjJLd9ZiDDKReMFztOJpgsJnApxA0rB+JT95F5IWnow+2qR1LCKExUjAUQogT4Mjci9LswBwVTFjfZLXjHLNDhSjZYai+phon79+0jlVv5AKQfN5Q+j1yTpvNrWnKqyTzkQXgUwgeM5jwc6e2yXEPqZv/Pa59heiDrCTMuBidXp6iCCHEITG3XY61X3fwKVSsyGLLze+z/e5PqN1eqHY0Tep640SsYUaKM+tZPzdf7Tia1OekBK79aAKxXUIoL/NxxQVVzH2/SdPzvex2H088XMeVF1ZTV6eQOjCC694dTURi+7rYmXmwHWmMBhcjehqdmCODwWjEFB+tdpx2xdq3O9Gju4BeWx1rQrrGYYoIwmX3sn9rtdpxTsjp9/ah25gYmpsVbppVTVlp4O2u/iMHijzMuqSKygofib3CmP7ogIDqftTSfD6FZYd2F547DFN4+3qcOFqKouCq+akNb9LZg4j76zXEzr4M08FWyEII8WtyNU4IIU7AoXak0WO6odPYyd3RMB2cYygFQ3UVZ9byv4t+ZO/aSkw2A70fOINuN01CZ2ibh2lnVSM77/8Cr92FpWdnoq8+r01PMB3Z+dQtWA5A/BnnYwrvuK1zhBDi99h6dyX+7mtIfOQ2gkcPAr2O2m2FNBfXqh1Nk8yRwaTOmgTA0n9nU1/eftvPnYjYziHc+NFY+p6cgNsNf7+/ngfvqcPp0F7RcPMGF9NPq+S9t+wADJ2RytWvjWx3s7mqC+2U7KlHb9ARM6bt2sIfLVOolRHvzCLt1b9L+7oWFnvjRfR7bDohXWLVjvILOr2OqGHpAOSsCty2pAAGo54L/zmE2M7BlJX6uOriKooPBH7RsKLcy6xLqikp9hHbOZgr/zsCa2jHngO/+/tSSrMbsIQYSZnZdl1ztMRVayfj4a/YeutHeOwu8otiKTgQh62v9hajCCG0RQqGQghxnBSvF/vWTCDw2pEeYo6UlqRq2zqvkDcuX01tcTO25AgGvHgpcZN7tdnxvc1udj00D2dFA8aEWGJvuxydqe0uAPmamqn871xQFMIGDSe0/+A2O7YQQgQac6ckYm64iORn7yVi5qkknNL38L/V7y7BVWtXMZ22JJ4+gNDeiTibPHzzdKbacTTLEmzkoueHcMpfeqHXw+cfN3PJeVVk7dZGu77mZoWnHq3nsvOrKMj3EhZv5YpXhzP90QGYg9pfwSpjSQkAYQNSMYUHqZzmj0mxsGOJGpEOBH7BEMAWZuLyl0cQnmAlb6+Xi6dXkpOljfu741FT42PWpdUU5HuJSLZx1WsjCYm2qB1LVT6fwrKXcwBImD4MU1jH211YvTGfzde/S9WavTgrG8hZ0ah2JCFEAJGCoRBCHCfH7n34GpowhloJH5iidpzjYo70tyStLWlWOUnH42zyMO9v25j30DY8Lh/Ro7swZM6lbbqq2OfykPHIfBqzyzBF2Ii78yoMwW13cUpRFKrenYe3qhZTZDRxZ0xvs2MLIUQgM0ZHEH7mZApK4skvisXrcJP56Hw2XPEGhR9vxOfyqB1RdTq9jh53TEVv0LFrcQlZK8vVjqRZOp2OCdd05YpXRxARqSNjp5tzT6vkr7fXsG+ver9Lmze4OPe0Ct55vQlFgSHTU7ht3gR6jItTLVNrOzS/MFAXI4oToygK3mbtzRONHNoJnQ5KsxuoLwv8HdtRqUFc//4YYruEUFbq47KZVWzZpL2f+5HUVPu49rJqcrI8hMZauPq1kYQndLzi2K9lLC6hLKcBa6iRlPM61u5CRVHYP3cDO+//HFd1E6bYaVoPAADhZ0lEQVTkeBIemo1tQE+1owkhAogUDIUQ4jg1H9pdOKEHeqNB5TTHJ7RnAgDb5xdRntugcpqOI3tlGXOmr2Drl4XodJB+1Rj6PnIuxhBrm2XwebxkPv41NZvy0VuNRM++GlNc286iaVyxAfv67aDXkzDzUvSWtvv+hRCiPdmXaUEJCsdrd7HvtZVsnPU2laty1I6lupCucSTNGALAV4/sxNEQuLtI2kK3MbFc+8lk+p2aiKLAgi8dnHlShb9wmNs2hUOfT+HHFQ5umlXt31WY5yU0zsLlLw9nxmMD23WbvbrSZop21KLTQfTYbmrH+V27n1jIltkf4ti9V+0o7Y4jO5/VZ/+HrbfPVTvKb5jCgwg5eN6YsybwdxkChCfYuO690aQOjKCuTuHqi6tY9l3gFENLS7xcNrOKjJ1uIqP0XPXaSKLTgtWOpTqP28eSf2cBED9jRJueX6vN63Cz+8mF5L3+IygQMnEECQ/PxtwpSe1oQogAIwVDIYQ4Ts27/EO0o0Z0VjnJ8Yse05WoUV3wun18cf9WvG6f2pHatcZKJ5/es5kPbtlAXUkz1oQwBvzzAjpdNrpNZ2AqXh97nl5E1Zq96EwGYm67Cku3tDY7PoCroJjqDxYAEDP1DGyp6W16fCGEaE9McdEkPHwL0deejyEiDEdpHRl/n0/mYws6fJvS9CvHYk2KoL7MweLn96gdR/MiEm1c9NwQbv5kHL0mx+Pz+QuHZ5xUwd231ZCb3TpF19paH2/+r5HTJlZw3RU1LF/q/Nmuwon0nNB+dxUekrHEv7swtG8ylugQldP8vobsMhr2lKgdo13SW814m924qrXZOjByaDoAuavbR8EQICjczNWvjaTnxDicTph9fQ2ffKj9x8zcbDeXnFfF3lwPYfFWLn9rHPHdQtWOpQkb5hZQXWjHHBVMagebXbjvfz9QsTwLnUFP1BXnEn31DPTm9rvIRgjReqRgKIQQx8FdVomnrAqdQU/E4LYttLQknU5Hj7+cjC3MRMnuOla+LrsRWoOiKGz9cj8vnbOcXYuK0ekh5fyhDHvtKiIGprZtFp9C9vPf+U8mjHpibrkcW5+2XcXua3ZQ8fIH4PEQ3KMPkWMmtunxhRCiPdLp9YSMG0rS03cTduZk0Ouo+CGbTde+jbNKmxeg24LBaqLnnacAsPHT/eRtrFI5UWBI6hPOZf8Zxs2fjKP3lHgUBb6e5+DMqZWcOrGcx/5Wx7IlDpqajn+xmculsG2Li/vvrmXi8DKeebyB/QVerKFGxlzemdsXTGTGYwOxhXWMC547vy0GIG5iD5WT/D7Fp+AorwfAGBOpcpr2xxARBoC7rhmfx6tymt+KGtYJgNy1lfi8isppWo45yMglLw5l6IxUfD742//VMeeFBhRFe9+jz6fw7htNnHdGJcVFXqI7BXPde6OJ6yrFQoDmejfLX/Vfz0i/cgwGm1nlRG2r0xVjCO2ZQNw91xI6ZZTacYQQAUwmVQshxHFw7PQ/EQ3rl4wxKLCfiFqiQ0i/9RR2P7GQlf/LoefEeJL6RKgdq92o2t/Egkd3kLe+EoCQbnH0uPMUQnvEt3kWRVHInbOM0sUZoNcRfcPFBA3q1eYZqt76Ak9ZFcbwSBJmXIxOL+uXhBCipegtZiJnnkrQsL5Uvf4pEd0iNLtbqa1EDEol8fT+lHyzk3l/38nsz8djsgZmO/m2ltQnnEv/PYzizDqWv5pDzsoyCvK8FOTZ+eBtOyYTDB5mZtwEC/0GmAgO0REcrCMoWH/wtQ6TSUdVpZes3R727HaTlekha4+bvTke3D/bsJjYK4yRF3ViwOlJmIM61qWK2pJmCrf725HGjNdmwdBV3Yji9oJejyEqXO047Y4+JAj0evD5cNfascRoqwgU2jsRQ5CZ5joXxZl1pPSPUDtSizEY9Zz7SH9C4yyseDWX/zzfyI5tbh56LIyUVG3cFxUf8HLfXbWsX+Oftdh9bCznPTmQkGiLysm0Y+Ube2mucxOUFkXCaf3UjtPqFEWhftcBwvunAFDc2InI/7sdna7tOhcJIdonbTzyCSFEgDncjvTgSstAFzupJxU/5lC5MpsvH9jGDR+Px2iWC2knwuv2seadvax4NRuP04fJqif18nGkzByKztD2BTJFUdj32kqKv9oGOoi+9gKCh/dv8xyNy9dj37ADDHoSL7gcQ5DM2hBCiNZgSU8h8eFbUdwewD+n2FXTRN3OA8RO0GZBojV1uX4CVev3UVXQxPJXcjjlL227YCbQHSocOhrd7FtfRe7qCnLWVFBT1MyGtS42rHX94deazOD+g3+2hhrpOSGOkRenkzowosNe6MxY4m/zGdYvGUuMNgv8jlL/7kJDVDg6g5wntDSdXo8hLARvbT2uqibNFQz1RgMRg9OoWp1LzpqKdlUwBH/nnamzexIWa2XR07v4YZmT9WsquPXOUK64JhiTSZ37JkVRmPdZM0/8vZ7GBgWbTcfUu/oy4sK0Dnt/+XtqS5pZ+14e4H+8V+N8uy0pPv9C4OKvttHz7lNx9JsMIL8TQogWIQVDIYQ4Rorbg2P3XgCihgfu/MKf0+l0dL/tJOp2FFGe28DyOdmc/JfeascKWIXba1jwyHbKcvwXaCOGpNHjjpOxJUWolqngvbUUfbIJgKgrpxMyZnCbZ3DuK6T6Q//cwtipZ8rcQiGEaGU6kxGdyUh+kRVFUbC/MZ/KVTnETe1Nj9tPxmDrGK0eAYwhVrrfdhIZD89n1dv76HdaIkm9ZZfUsbKGmOhzUgJ9TkpAURSqC+3krK4gd00lNUV2nE0eXHYPzibv4dnYbhfodBCVFkxCz1ASeoSR0DOMhJ6hRCTa5AInsGuxv2AYO7Gnykn+mKO0DgBjrLQjbS2GiFC8tfU4q5vQVrnQL2pYOlWrc8ldU8nkG7qrHadVjLiwE52HR/PVozvJ31TNs0828NUXzTzyVDiDh7ZtZ6HqKi8P31fHkm+dAKQOjOC8JwcR00kWXP7a0n9n4XH5CB+YStTILmrHaVWK10fWPxdTtiQTdFBeZCSs/W+oFEK0ISkYCiHEMXLk5KM4XZijggnuGqt2nBZjjgiix1+mkvHwfFa/nUvPyfGkDYpSO1ZAcTS4WfriHjZ9ko+iQFCkmbTrTyJuam/VLoYpikLBe2speHctAJGXnEnopJFtnsNb10DFS++Dx0twr35EyNxCIYRoW4qCOzIV9LmUL91N094K+v79bGzJHefif8zY7sRM6EHlymzmPbyDGz4ci8HYvnchtCadTkd0WjDRacGMujj9N//ucftw27047R5s4SYsHazN6NH6ZTtS7RZhDu0wlPmFrccQ7i8TuqqaVE7y+yKHpQP+xZGORjfWkPa56CS2SwjXvDWKrV8Vsey5nWTv8XDJjCouuiyIv9wTSlh46z5u1Nb6+PRDO2+91kR1lQ+TCSbd3JNxV3eRx6zfUbKnju1fHwCg6w0T2/UiFJ/by+4nF1L5Yw7odcRcfyHBowapHUsI0c7II40QQhwjxy7//MLIoZ3a3ZPRmLHdiZ/aB8UH8x7chqvZo3akgKAoCplLS3jp3BVs/NhfLIw/tS+DXr+G+JP7qFos3Pe/Hw4XCyPOP42wU8a1fQ6Pl4qXP8RbXYcpJo6EGZe0u78dIYTQOp1eT8R5pxB/73Xow0Joyqtk880fULVur9rR2lT32VOwhZkozqxnzbt5asdp14wmPbZwExGJNikW/omM7w62I+2foul5o3qzAWtCOKb4GLWjtFuW7p2IHt0Fc7Q2d5DZEsOxJUfg8yjsW1+ldpxWpdPpGHJuKjfNn8rgc1NQFPjoPTvTJlfw7BP1ZO12H/lGjlHWHjcP3VvLpBFlPPePBqqrfMR1C+H6j8Yx8bpuUiz8A9/9KwtFgbjJvQjtEa92nFbjdbrJePgrKn/MQWcyEDv7MikWCiFahTzaCCHEMWremQVA1PB0dYO0kq63TMYcE0JVQRPzH96Bx+VVO5KmHdhVy0e3beTjv2yiodyBLTmCAc+eT6+/noYpPEi1XIrXR84LSyn6dDMAkZeeRfgZk1TJUvPxQpxZeeisFpIvvhqD1apKDiGEEGDt2YXER27D0q0T3iYnux6cR95bq1G8PrWjtQlzVDBp108B4Ps52VQWaHMnj+g4dh5uR6rt2aKpFwxn5PvXEn7mZLWjtFvhZ06m32PTiRndVe0of+jQLsPcNRXqBmkjwZFmznt8ILPeHElMejBVlT7e+G8T55xayVknV/C/OY0UFR7/Ilu3W+Hbhc1ceVEV55xSyacfNeNwQGKvMGY8PoCbPxlHYi9pn/1H9q6rJGd1BQajjvSrx6odp9UoXh877/+S6g156K1GYm+/iqAhfdWOJYRop2SZnxBCHANFUXAXlQEQ2jtJ5TStwxRqpdc9p7Hrvs/ZuegAFXkNzHx6CLFdtDhJQx0et4/MxcWs/yiPoh21AOiNOlIuGEHapSMxWNRtz+PzeNnz9CIqlmeBDqKvPo+QCcNVydK0dhsNS9YAkDjjUsyx7XfVpxBCBApjZBjx/3cdNXO/oWHpGsqWZpIycyim0I6xoCP+1L6ULdtN7Zb9fPHgdq59ezR6g+x8F22vtqSZoh0H25GO0247UiEOiRyWTvFX28hdU6l2lDbVZUQMs7+cQNaKMrYvLCZnZSk5WR6ef7qB559uYNBQE5OmWIhPMBATqyc6xkB0jJ6oaD0mkw6vV6G4yMveXA97cz3k7fWwN8dDbo6HhnoFAL0eek9NYPSlnek0JFI6shyBz6uw6JlMABLOHIQtKULdQK1IZ9ATObQTjTllxNwxC2uPdLUjCSHaMSkYCiHEMdDpdP5h9DX1uOvs2BLb52q/yCGd6PPIuex7biGle+r574UrOfWvfRl2fvtrw3os6ssdbPq0gM2fFtBY5R8+bzDpiZnYi9SLhhOcrn6LJq/TTeajX1O9fh86o57o6y8ieMQAVbK4DpRR9dbnAERNmEpIL5nGLoQQWqEzGom67GzMXVLpNNDYYYqF4H8+1/OuU9l2/Vvs31rD6nf2MX6Wdnf0iPYrUNqRiraleH3oDNpsCBYxIAW9QUd1oZ2aA3Yik9XrqNLWjCY9fU9OpO/JiTTXuclYUsKORcXkbahi22Y32zb/fpvSiEgdzXYFp/P3bzckxsLQ6SkMv6ATEYm2VvwO2pdNn+2nNLsBW5iJTpePVjtOq0u7eATufuMxRrXPa1BCCO2QgqEQQhwjY2wU3pp6HCV1hPVKVDtOq4ke1YWQV68m65lvqdlcwNeP7SR3VTlnPzKQ4EiL2vHajM+nkLe+ki1f7CdzaQk+j38FqDk6hKSzBpJ4Rn/MkdqYM+JpcrLroXnU7ShCbzESc8vl2Ab0VCWLr9lBxX/eQ3G5CerSg+gpp6mSQwghxJ8LGTOYKqCqCNJTKihfvgeDzUz0qC5qR2tV1vgw0m86iax/Lmbpv7PoPi6WhB5hascSHcyugwXD2AnabkfqbXazcdabmCODibx7Njqzut002qvmjBx+vP4dgtKjGfryZWrH+V3GYAshPROozyxh77pKhp2XpnYkVdjCTQybmcawmWnUlzvYtbiEAxl1NFY5aapy0ljloqnGieKD2hr/+aPRrCe6UzCxXUL8L539r+O6hmAwabNArFXNdW6W/sc/Kib58nGYwttfodVdZyfvzdV0uWEiRdXJABijVA4lhOgQpGAohBDHyBgbhTM7H0dJndpRWp0lOoT+T51H0RebKXh9JXuWl3EgYyUznhhEl1GxasdrVbXFdrbOK2TbV4XUFjcf/nhYv2SSzx1MzLhu6I0GFRP+kqu6iV0PfklDdhmGIDMxt1+NtWdnVbIoikLVG5/jKa3EGBZBwvmXodPLSbAQQmhd1ioXZc98i+L10f22qSSdqc4O9bYSf2pfKlfnULV2H58/sJ0bPhyLUS7aijZSW9JM4fbAaEfqqmnCWdGIq85JpEkuI7UWncmEz+XB2/QHW9E0ImJwJ+ozS9i3vqrDFgx/LizOypjLf3ve5fMq2GtdNFY5MVkNRCYHSfvrFrLs5WzstW6C0qNJOnuQ2nFanKfRyY7/+5zGnHLqynzEztbmAgIhRPskz/SEEOIYGWMiAWjuAAVDAJ1eR+rMYUQMTGXPU9/QsL+ad65bR68pCUy4vjvJfSPUjthi3E4ve5aVsuWL/eStr0TxLwbFEGwhfkovEk7vT2h37c3ga9xbzq4H5+GsaMAUbiP6L9diSU9WLU/Dd6uwb9oJBgOJF16BMVhabAkhRCAwpyQQNHIQTas2k/PCEpzl9aRfPbbdtiPX6XT0+MspbMt8g5Ld9fzw31xOmq3tnV6i/chcWgpAaN9kLDHafq7kqmkCwBAe2m7vD7RAb/O3hvZovGAYOSSN/R+sY++6Snw+Bb1efid+j96gIyTaQkh0x+nO0xbKchtYP7cAgG43TdZs+97j5XW42fnglzTmlGOKsBEx4xS1IwkhOhgpGAohxDEyxvn7QDhKO0bB8JDQ7vEMefky9r76A6ULt7NnWSl7lpXSdUwsE67tRqdh0QF5AcHr9rFvXQW7vi1m97JSnI2ew/8WMTiNhNP6ETOuGwaLNlsvVa7JZfeT3+BzuDEmxBB7x1WYEtSbpWjfkkHN3G8AiDvtHGyp6aplEUIIcWx0RgPR18zEGB1B3Vffs//D9TjK6ul596noTdrZVd+SzFHBpM8+hd1PLOSH13LpNTme5L4yH0i0vsPtSCdqv0jtqrYDYAjXdmEz0OmDDhUMXSon+XNhfZMwBJlpqnZRnFFHSv8ItSOJDkJRFL75RyY+r0L02G5EDu2kdqQW5XN7yXhkPvW7DmAIthDzl2sxJcWpHUsI0cFIwVAIIY6RMeZgwbCD7DD8OYPVRI87ppI8fTCFczdQsWw3e9dUsHdNBWmDIxl/bXe6j4/TfOHQ51XI31jJrm+LyVxaQnPdTwPqLbGhxJ/al4RT+2FL1O4FQ0VRKPxkI3mv/wgKWPt2I+bmSzAEB6mWyZGVR+UrH4GiEDZkBOEjxqqWRQghxPHR6XRETD8ZY3QEVW9/Qfn3u3FVN9H34bMxhrTPXRJxk3tRuSqHih+y+fz+bdz0yThMlvZZIBXaUF/mYP/WGgBiNd6OFPyt7wH04aEqJ2nfDhUMFbcXn8uD3qzNS3Z6o4HIIWlUrsole1WFFAxFm9mzvIy96yoxmPR0vWGi2nFalOL1sfupb6jZmI/eaiTmjqsxd1Kva5AQouPS5rMPIYTQMGPswYJheT2K19fuWmAcjeBO0fS6dxrpV46h8OONlC/eyf6tNXxwywbiuoXS95Qkek2JJ75HmGaKh45GN3nrK8n5sZysFWU0Vv3U6scUEUTsxB7ETupJeN9kdBpvq+Nzech+cSllizMACJkyiqhLzkKn4kxFV2EJ5S+8g+L2ENyrL/Fnna+Z/3shhBDHLmTCcAyR4VS9/B61W/dT+u0uUmYOVTtWq+l+20nUbi+ifG8j37+UzWl39VY7kmjHMpb4dxeG9U3CEqv9ItzPW5KK1qOzmEGnA0XB0+TErNGCIUDUiM7+guGP5Uy5SftFbxH43E4v3zyzG4CkmcOwJUWoG6iF7X11BZUrs9GZDMTMvgJr93S1IwkhOijtPvsQQgiNMkSEgtEAHi/OigasCdrdhdbarAnhdL99KmmXjaLos82Uf72V8twGynOzWP5yFhFJNnpOTqDHhDhSB0VhCWq7hx2fV6F0Tx1711aQs6qcwu01+DzK4X83hlqJHd+d2Ek9iRiYGjCFX3ednYy/z6du5wHQ64i85CzCpo5RN1NFNeX/fBOl2YEtrTOJ51+OziA7M4QQItDZ+vcg7v9upHHVZpJnDFE7TqsyhQfR486TyfjbV6x+ex99psSTNjhK7Viindq1xD+/MHaC9tuRArhrpCVpW9Dp9eisFpRmB55GJ+bIYLUj/aGo4Z0BOLCzlqYaF8GRZpUTifZuzbt51BTZMUeH0OmSkWrHaXEJp/WjYmUO4Refi61fYDw2CCHaJykYCiHEMdLp9RhjovCUVmDfX92hC4aHWKJD6HrDRNIuHkHl6lyq1uylfmsetcXNrP8gj/Uf5KE36IjtEkJUp2CiUg+9BBGVFkxYvA294dh3o/l8Co0VDmqK7FQX2qkpaqKmyE5NkZ2KfQ04Gjy/+HxbciRRw9OJGtGZiCFp6FXckXc8GrLLyHx0Po7SegxBZqJvugxbf3VPJrxNdsqfewtvXQPm+ESSLr0GvUkuGAghRHth7pRMVKdkCoohPaUCn9uLq6YJa1yY2tFaXMyYbsSf0pey7zL49L7tzP58PJZgOWUWLauhwsH+LdUAxIwPjJ1ZBpsJW3Lk4dEMovXY+nbHamzS/GJGS2wowZ1jaMqrJHdNBQPPkNaJovXUljTzw/9yAehy3XgMtvZ3vhnSNY74J+9Bb2l/35sQIrDI2Y8QQhwHS7c0PKUVVG/KJ2pEZ7XjaIYpzEbitP4kTuuP1+GmZksBVWv2UrN1P86yespyGijLafjN1xlMeoIiTJisBv+LzXD4baPFgNftw9XsxWX34D742mX34Gz04P3ZrsHf3G6QmYiBKUQO60zU8PSAbVuiKAql3+wk56VlKG4vxtgoYu+4EnNyvLq5PB4q/vM+ntIKjOERpFx+PQabejMUhRBCtK68gijsb79NfWYJA5+dSVBatNqRWly3mydRu20/NUUNfP1kBuc9MVDtSKKd2b28DEWB0F4JAVN473rjJLreOIn8oli1o7R7sbMvJT2lQu0YRyVyeLq/YLi2UgqGolUtfCoDV7OXsL5JxE1pPy3Dy1dkYYkNIbxvMvlFsejb56hoIUSAkYKhEEIch6DBvWlatZmqNXvpetMkmdX2OwxWEzFjuhEzphsAjrJ6mvIqaS6pxXGglubiWv/bJXV43T4aKpxHuMU/oNdhjQ/DmhiOLSnC/zoxAltyBMHpMZpfnXskXoebnP98f3heoW1Qb2KuuwB9sE3VXIqiUPX2lzj37ENntZB86bUYw2S3rRBCtGe+Zgd1efW4qxrZdufHDHh6JiFd49SO1aKMIVZ63Xc6O+76mK1fFdFjXCz9pyWpHUu0I7u/LwMgZmw3lZMIcWKihqZT9MkmctdUoCiKnBOLVrF7eRm7l5WhN+roccfJ6PTt4/esZtt+9vzjG9DpSHjoFsxpaicSQgg/KRgKIcRxsPbrgc5kwFFah72giuD0GLUjaZ41Pgxr/G9XUSteH87KRjwNDrxONz6Hx//a6cHr8L/WmwzorSYMNhMGm9n/2up/2xITEvBFwT/SfKCGjEcX0LS3AvQ6ImacStjpE9Dp1f9+6xcsp2nVZtDpSJp5BZYEuZgqhBDtnSEkmPh7r6f8n2/iKjjA9rs/pf9T5xHWK0HtaC0qon8KqRePYv8H6/jq0Z2kDIwgMkl20IsT11TjYu/6SiBw2pEK8UfC+ydjtOhpKHdSvreR+G6hakcS7YzT7uHrJ3YBkHzeMII7t4/rLk35lWQ8PB/F4yNoeH9MKe3reZQQIrBJwVAIIY6D3mLG2qc7zdv3ULVmrxQMT4DOoPcXEn+nmNiRVa7OYc/T3+K1uzBFBBF1w6VYe3dVOxYADd+vpfaL7wCIO2MGwT3aT1sYIYQQf84QGkz8PddS9vxbuPbuZ8c9n9L/iemE909RO1qL6nT5KGq2FNCwu4RP793GNW+NwmBUf8GOCGwZ35Xg8yiEdI8jKCVw5gFumf0hPreH8BuuwhTX/loRa0npk69SuP8A/R49h8ghndSO86f0ZiOh/dOo2ZRP7poKKRiKFrf85RzqSh1Y4sPodNloteO0CGdVIzvv/wJvkxNL907EXHeBJhYECyHEIXKPJIQQx8k22F8kqVyzV+Ukoj3xuTzsfXUFGQ/Px2t3YeneibiHb9dMsbBx9Waq3/sKgKgJU4kYMVblREIIIdqaPthG/N3XYOnVBa/dxY77Pqd2Z5HasVqU3mig932nYwk2sn9rDT+8Js/3xInbsagYgLjJvVROcmya8iv8HS+k5WSrU5xufA43Po9P7ShHJXKov6iZu6ZS5SSivSnNqmfNe3kAdL/1JAw2k8qJTpy32cWuB7/EWd6AMSGG2NuvQGcO/O9LCNG+SMFQCCGOk21Qb9BBw54Smkvq1I4j2oGGnDI23/w+RZ9tBiD01HHE33s9xkhtzAZs2riTqtc/AyBi1HiiT5qmciIhhBBq0dssxP3lKqz9uoPiX/DS3tiSIuh82ykALH8lm4It1SonEoGstqSZ/E3+36HYST1VTnP0FK8Pn8P/9623WlRO0wEcms/mC6yCYf6mKjwur8ppRHvh8yl89ehOfF6FmHHdiR7VRe1IJ0zx+sh87Gsac8oxRdiIu/NqDCHBascSQojfkIKhEEIcJ2NEGNY+3QAo/363ymlEIPN5vOS/t5atsz/Enl+FPiyE2NuvIOriM9EZDWrHA6B5+x4qX50LikLYkBHEnnYOOlllLoQQHZreYib2tiuIu+8mooamqx2nVcSf1Ju4qb1RfPDp/23D0eBWO5IIULu+9e8uDB+QgjUucFrxe5tdh9+WgmHrOzSbXfEqKic5OsGdYzBHBeN2+CjYWqN2HNFObP68kMLttZiDDHS7ZbLacVqE4vWhNxvRW4xE33q1tHcWQmiWFAyFEOIEBI8eDEDZ95koSmCc1AltaSqoYtttH1HwzhoUr4+gYf1JeuIvBA3uo3a0wxy791Lx0vvg9RLabxDxZ8ucBSGEEH56swlLejL5RbEA2AuraT7Qvi4ad7/1JKwJ4dQWN/PVo7vkOZ84LoHajtRjP1gwNBjQmYzqhukI9IcKhoGxw1Cn00lbUtGiGqucLP6Xf0F26pXjscS2j9mYerORPg+dSfwDN2PpmqZ2HCGE+ENytU8IIU5A0NB+6C1GmgtrqN1eqHYcEUAUn0LR55vZfON7NGSXYQy1EnPjRcTccgmGUO20JnHuK6T8xXdQ3B6Ce/Qh4bxLpVgohBDid2Wv87LtLx+z/Z7PcJTVqx2nxRiDLfS+/3T0Bh07FxWz9av2Na9RtL6KvEaKM+vRG3XETuiudpxj4j1YMJTdhW3kYAcPxRc4CxMih6UDkLumQt0gol1Y9OxuHPUeQrrFkXzuYLXjnDBHad3hhUYFJfGY05JUTiSEEH9OrvgJIcQJ0NssBI30P4nd849FuGqaVE4kAkFTQRXb7vyYva+sQHF7sfbvQfyjdxI8apCm2ny6Cksof+5NFIcLW+fuJF54JTqDNlqkCiGE0B5DaDCKNQhnWT077vkMV3X7eV4U1ieJtCvGALDgiQzK9zaonEgEkp3flgAQMSQdU3iQymmOjc/tn0snuwvbyMHCgk6vnXOCI4kc4t8tVbK7nqYa1xE+W4g/lv1jOdu/PoBOD93vmHq4RW+gai6uZfNN77PnyW/Yty9C7ThCCHFUAvueVwghNCDy4jMwJsbiqmwk87GvA6Z9jGh7XqebvDdXsfmGd6nfdQC91UTUFecSd+fVGCO1NcvGdaCMsmdex9fUjDU1neRLZqE3mdSOJYQQQsMM4aHE//VaDDGRNB+oYfs9n+Kus6sdq8WkXTSCiCFpuJu9zL1rC65mr9qRRABQFIWdB9uRxk7qqXKaY6c3GbAmhGGIjlA7SodgSkkgrG8S5ijtdBw5EnNkMMHpMQDkbahSOY0IVI5GN189shOA5BlDCeuVqHKiE+Oxu8j421d4GhzU5jeqHUcIIY6aFAyFEOIE6W1W4m69HEOQmbodRex7baXakYQGVW/OZ9N177L/w/UoHh+2Qb1JfOIuQqeM0tSuQgB3cTllT7+Gr6EJS2IKyZddh94ibaiEEEIcmTE6gvh7rsUQGYY9v4od936Op8mpdqwWoTPo6X3f6ZijginPbeTrJ3apHUkEgLKcBir2NWIw6YkZ003tOMcsOD2Gke9fR+JDN6sdpUOIvuJcBr94MeH9ktWOckwiDu4yzF0ncwzF8Vn83B7qSh1YE8NJv3Ks2nFOiOJT2PP0IpryKzFEhBJ72+XozbL4VggRGKRgKIQQLcCUFEfUrAsAKPpsM+XL96icSGiFq6aJ3U8uZOe9n+MorsUQGUbsrZcRe/sVGDW4UttdWkHZM6/hq2/EkpBMypU3YLDZ1I4lhBAigJjioon/67WYIoJozC0n4+/zD7c1DHTmyGB63X86Oj1smVfE5i9khrX4c4fbkQ7vjDFEFmCJ9ulQW9J9UjAUx2Hv+ko2frofgJ53nYrBFtjFtYL31lC1OhedyUDs7MsxRoarHUkIIY6aFAyFEKKFBA3rR9gZkwDIem4xjftk6HtH5nN7KfpyCxuvfovyZXtAB6EnjyHpyTsJGtpPc7sKAdxllZT94zW8tQ2Y4xP9xcKgwGmHJIQQQjtMSXFE33ENBpsJb7Mbb3P7mWsVOSiNTgd3Pyx4Yhcle+pVTiS06uftSOMm91I5jRCtJ3xAKnqDjupCOzUH2k8ratH6nHYP8x7eAUDSWQOJGJSqcqITU/FDFgXvrQMg6soZWLqlqZxICCGOjRQMhRCiBUWcdwrWvt3wOTxkPjIfT6ND7UiijSmKQvmKLDbOeou9c5bjaXRi7pREwkO3EHXp2ehtVrUj/i53eRVlT7+Gt7Yec1wCKVfdhCE4RO1YQgghApglPZnYv17PwH+ejymsfe1WT7t4JFEjOuNx+ph752YcDW61IwkNKs6sp7rQjsmqJ3pUF7XjHJemgio23/w+5c+/pXaUDqHw1sdYe+GrOCsDa+aZMchMyMGZc3tll6E4BktfzKKmqBlLXCidr5ugdpwT4ml0kvX8EgBCTx1HyLihKicSQohjJwVDIYRoQTq9npgbL8YQHUHzgVoyn1iIz9M+WnCJI6vdUcTWWz9k9+Nf4yipQx8WQtSV00n42y1Yumh3paSnotpfLKyuwxwTR8pVN2GUYqEQQogWYOmSSmFl0uH3m/Lbx4VknV5Hr3unYYkLpWq/nS//tgNFUdSOJTRm57f+3YURI7phsJlVTnN8fE4PjdlluIpK1Y7S7ileL76GJlxVTehNBrXjHLOIwQfbkq6vUjmJCBT5W6pZ92E+AD3uPAVjUGDeTx5iDLHQ79FzCBo1iMgLpqkdRwghjosUDIUQooUZQoOJvfUy9BYjNRvzyXlhqVxAaueaCqrY9dCXbL/zYxr2lKK3mgifPpXkZ/5K6OSR6AzaPeH3VNVS9szreKtqMUXHknL1zRhDQtWOJYQQop3JK4wh/501bLruHcpXZKkdp0WYwm30+dtZGIw6MpaUsvb9fLUjCQ1RFOXw/MLYST1VTiMCgeL6aadyIM5wixzSCfDvMJTzX3EkboeXLx/agaJAwmn9iBqWrnakFlEbPYTYGy/S9DUAIYT4M1IwFEKIVmBJTyH6xktAr6P0213kvbEKxScnTe2NvbCa3U99w6br3qFq7T7Q6wiZMoqkf9xDxDlT0Vstakf8U67CUkofexlPRTWmqBhSrr4JY2iY2rGEEEK0U9XFgAJ7nl5E7bZCteO0iLBeiXS+cTIA3z63m/1bq1VOJLSicHstdSXNGGwmokZ2VjuOCAA+58FZr3odugDcYRjWOxG91UhTtYuynAa14wiN+/6lbKoKmjBHh9D1xolqxzkhJd/soKlAdtYKIdoHKRgKIUQrCRrch6jLzwWgcO4Gdj7wBa4aGQDfHhwqFG685m3Kv98NPgXbkD4kPf4Xoq84F0OE9nfoOXIKKHvq1Z9mFl59M6awCLVjCSGEaKd0Oh2Rl55F0LB+KG4vu/42j8Z9FWrHahFJ5wwidmIPfB6Fj+7aQkOlzLAWsGuxf3dh9JhuGCyBt1vsMN3B1z6fqjE6AsXuv+8wWE3odLojfLb26E0GwvulANKWVPy5/VurWf3OPgB6/GUqxhCryomOX/XmfLL/tYQtt3xA7tbAK/QfiaeqVu0IQog2JgVDIYRoRaGTRxJ19XmH25NuvvFdarbuVzuWOE72omp2/+NXhcLBvUn4+2zibrsCU1Kc2hGPSvOOLMqffR2f3YE1rTOp18zGFB6hdiwhhBDtnE6vJ+b6C7H07IzX7mLnfV/grAj8XSg6nY4ed51KUFoUDeVOPr57K163FFc6MkVRyFjqn/kXO6G7ymlOjDHY3zHD1+xUOUn756mtB8ASE7izxCMG+AuG+ZukYCh+n8vu4bP7t6MoEH9KX6JHdVU70nFzlNWz+4mFoEDQiIEYY6PUjtRiFI+H2nlLOXDPM9i3ZqodRwjRhqRgKIQQrSx04nDiH5qNKSkOV1UTO+75lLy3V6N45UJSoGjIKfMXCme9TfnSXxUKb78SS3qK2hGPWtP67ZS/+C6Ky01Q916kXHEDBluQ2rGEEEJ0EDqzyb/IJjkeV1Ujux78Em+zS+1YJ8wYZKbvI+dgCTaSv6maRc/uVjuSUNGBXXXUlTRjthmIDPC5XIcKhorTheL1qpymffPW1AFgidV+t5I/EjEoFYB9G6vweWUkh/itxc/vobrQjiU2hG43T1I7znHzuTxkProAT70Dc6dkoi47R+1ILcZVUEzJI3Oom7cUvD5ca3IxF5rVjiWEaCNSMBRCiDZgTkkg4eHZhEwYBgrsf38dm298r93M72mPFK+PylU5bLvzY7bc9P5PhcJBgVkoBGhYvp7KV+eC10to/8EkXzwLvVme+AshhNZ5G5vVjtCi9ME24u64ElNEEI17K6hcs1ftSC0iKDWKbvecDsC6D/PZ/IU8z+uoMpb425GGj+ga2O1IAWOIBUOQGUtcKIoj8Iv7Wqa3Wgjrm0RIt8DoWvJ7QnsmYAi24Kj3UJxZp3YcoTHZP5azfm4BAD3uOjWgW5HufWUFDVmlGEOtxMy+FJ05sO/r4eCuwi+XUPLoS7gLS9CHBJFw/uXEnXme2tGEEG3IqHYAIYToKPQWM9GzZmLt043aD+bRlFfJ9rs/IWZCD7pePwFrQrjaEQXgaXRS8u1OiudtxVHqbwukM+ixDe9P2KnjsXQOrCIh+Nti1S/8gdrPvgUgfPgY4s6YgU4v64aEECIQlDz6EjFXTidoWD+1o7QYY2wU0bdeRYQrj/iTeqsdp8XEjO1OpytGU/DuWuY/tovYLiGkDYpUO5ZoQz6fwo5vigGIndBD5TQnTmfQM27+rQDkF9lUTtO+BQ3tR59z4tWOcUJ0Bj2Rg1OpXJVL7poKUvpHqB1JaERTtZMvHtoBQPL0wUQF8O7rsiWZFC/YDjqIuu5iTO2gFam7uJyKVz7EXehvpx3Spz9xZ87EGBK4O56FEMdHCoZCCNHGgkcNwtqvO3VfLqVh+ToqV2ZTvW4fKRcMI+3CERhsgb8yLdAoikJDVhll3+2ibEkm3mY3APrgIEImjyB0ymiMUYFZ0FW8Xmo+/JqG79cCEDXxZKKnnIZOp1M5mRBCiKOlNDRR8dL7BA3vT9Tl52AIC9z5Vj9n6ZpGM2lABeB/PG4Pj0+dLhtN074KKlfl8uEdm7n543GExQfuLgpxbPI2VFFX6sAYYiF6dODO5hLieEUO6eQvGK6tZNINgT3DU7QMRVGY9/edNFY6CeoUTedrx6sd6bgpikLZMn/b8fCzT8I2oKfKiVqGq6gUd2Ep+tBg4qedR0jfge3iOZkQ4thJwVAIIVRgCAnm/9m77/Aoq/T/4+9n+mRm0nshCb33XgQEEVBUFBULtrXs2va3btOt7nfXdZu7uurae28oitIRUJDee03vdWaSTH9+fwSiqChCMs8kuV/XxcUkTHI+A2FmnnOfc5/4eRdjnzSKmtc/xLvvKAWvrqd8yW663nIOSZN6o+jkzVlb81a7qVi+j7Kle2jMr275vDE9Gce08djGDEZnbr8tO0MeL1VPvEHTjv2gKCSdfxFxYydqHUsIIcQPFDd2ErXr19C4aReefUeIv+YiokZ3nImcvKIk0qPy2HP/ArKvHUP8yFytI50VRafQ+9cz2Fb0Bu68Kl67ezM3vzQGo0WvdTQRBtsWFAGQNKkXOpNMuYjTp6od48y/uGHZABRur8XbGMAcJf8POrut7xexb2U5eoNC73tntOtWzYqi0P/Pl7DnzYLmI2c6CNvIgegKfdj7DJBdhUJ0ctKLTAghNGTKSiXlV7eQdOe16BPj8Fa62ffXT9h884uULtpFyBfQOmKHE/IFqFh1gF2/mc/6q57m6DNraMyvRmcyEDV6EMm//BFpD/wMx6SR7bpYGKh1Uv7gUzTt2I9iNJB2xXVSLBRCiHYqftI0utz2/zCnphNyN1L11JtUPvIyoUaP1tFazZ4X9uLcW8revyyk4ViV1nHOmt5qot//XYw1xkjxnno+uH9XhykGiFPzNgTYs7y5nVvKtH4ap2k9h59YxdY7X6Np9yGto3RoxT97kPVXPU1Tca3WUc6KJT0WS2o0wYBK3uYareMIjVUXNPDxg3sA6HLDeBw92nfbXYCCslQck0a26yM+AtV1VDzyMoG65mNYzAUmYkeMlWKhEEJ2GAohhNYURSFqeH8sA3vhXLwG9+LVNBbUcPChpeS9uJaM2UNJu2AgRoe0sjpTgQYv1euPUrX2MDUbjxHy+Fv+zNw9G9v4Yc0r6qI6xt+xr6CEiodfIlhTjy7aTsaVP8Kala11LCGEEGfBkpZJl9t+Rs1nK6levZSgqwHF0n4Xtnxd7GXT8B4txHvgGLt+O5+hj12DKd6mdayzYk2PpcdvL2b3fe+xY2Ex6X2iGXd9V61jiTa0Z1kp/qYg1ow4ovukaR2n1TQV1uDaX4ZpbJ3WUTos1ecnWOckCBja+XWfoijEDc2m9JNdHPmiil7nJGsdSWgkGAjx7n3b8TUFiRmYSdbl7XdHXtni3biPVdG1HbdTPaFp90GqnnyTkLuRGiBr9s1aRxJCRBApGAohRITQmYzEXjSF6PPG4Vq1EdeSz/FVOzn27Gfkv/wFSZN7kX7hIBy9UztMC7K2FGj0Uf3FESpXH6BmUx6qP9jyZ/r4GGzjhmIfNxRjapKGKVtf0479VD7xOqrHhykphYxrb8YYl6B1LCGEEK1A0etJmHQe9r4DUHQ61OMr29VAEDUUQmdqxy2+DAaS7ppH2Z//h7e8it1/+IDB/76y3bd0jBuaTe6PJ3Hk8U9Z/NA+krrZ6TleJs87qm0fFgOQMq1vh3q/brCbAQg2NGmcpOMK1NYDoDMb2n3BEJrbkpZ+sosj69v/jnFx5lY/c4TCHXWY7QZ6/3oGir597shryKvi0KMrCHkDNEVn45iYqnWkM6KGQtR/tJL6D1aAqmJOyyR10mytYwkhIkz7vvoSQogOSGe1EDPjHKLPG0vDF9txLvkcf1EZ5Uv2UL5kD5bUGJIm9iRpYi/sPZI71GTE2VBVlcaCGmo351GzOY+67YUnFQkNqUlEDe9P1LB+mHIyOtzfm6qquJavo/b1haCqWHO7kz73BvTWKK2jCSGEaGXm5OMTVQXg7eKjbv5SmnbsJ/H2qzFltN9WX3p7FMn33EDFXx7Dtb+MA/9e2jzB2M5fszMuGULDkUrKFu/mrV9s47bXxpLcTVp+dTR1pU3kbWo+Eztlal+N07Quc3I0AMGq9t0qM5L5C5tb2UZ1iW/3z3kAsYOzACg/5KKhxost3qxxIhFuBdtrWfVkcxvj3DvPw5ISrXGiMxNs8rP3zwsJeQNY+vXAPqF97pIM+fxUP/sOjRt3AhAzfAxJMy5BZ2y/i82EEG1DCoZCCBGhFIMB+4Th2MYPw3u4APfK9TRt24WnrJ7CtzZR+NYmLGkxJJ3Tk6RJvbB373zFQ7/LQ922Amo25VG7OQ9vpeukPzekJmIbMZCokQMxZqZ02L8f1een5tUFuNdsBiB66ChSLrwMxSAv80II0dEZDoZo+GwbQZeTsvsfJe7qWdgnjWy3r3nGlETif3ItFf96jorl+3B0TyFzzjCtY50VRVHocfcUGotqce4u5uXbN/Hj18ZhT5QJ9I5k16ISVBViBma224nxU7FmxALgr6jWNkgH5ssvAcDevWPsQDbGRGHLTaThWBXHNtXQ//yO06JXfD+P2887924jFFRJPrd3u15EcfixFTTmV6OPdZB425Xt8tzCoNNN5X9fxnu4APR6UmbNIWboKK1jCSEilMwkCiFEhFMUBUuPbCw9sgl5Z9O08wCNG3fi2bkPT+mXxUNzkoPYwVnEDMwkdlAWlrSYdjtZ+G1UVaWpqBbn3hKc+0px7i2lIa8KQmrLfRSjHnPPrlj798AyoCfGjI5bJDwhUFNP5WOv4jtaCIpC4nkXEDducod/3EIIIZrpLRayf/Jzyua/QePh/dS89D6ePYdJuPFSdDar1vHOiLVvd+KvuQjP6s9IGNtN6zitQmcy0O/+i9h29xvUFdfx6l2buen50Ziseq2jiVay/aPj7Uin9NE4SeuzpsUCEJCCYZvxFRwvGHbrGAVDaN5l2HCsiqMbq6Rg2ImoqsqH/7eb2qImLKnR9Lh7qtaRzlj5sr2ULdkDOoXE2+aij7ZrHemMKHo9wYYmdDYr6VfcSFRud60jCSEimBQMhRCiHdGZTdhGDMA2YgAhr4+mHftp3LgLz659eCtdlC/bS/myvQCYk+zEDMwidmAmjj5pRGXFozO2j0kpNRiiqbSOxrxq3MeqcO0rxbmvlIDL8437GtOTsQzoibVfD8y9ctGZTRok1obnwDEqH3+NkNONzmYl7bLrsHXvpXUsIYQQYWawO8i49mZqv1hD1fKFNG7ehS+/mKSfXocps32es+OYMgbbhOFY0+u0jtJqTLFRDPjrbHb/9FWKdtXx7r3bmPvvYej0ssinvSs74KT8kAu9UUfiOT21jtPqTuwwDFTVogaCKIb2cU3RnnS0HYbQXDAsfn8bxzZKobkz2fJeITs/KUGnV+h938yWM1Dbm8aCag4+shyAmIunYOnTfhcw6WxWMq+8FUJBTIkd5zlGCNE2pGAohBDtlM5swjZyILaRAwl5fXgP5eHZfwzvgaP4jhXirXRTsWIfFSv2AaDodVgz47DlJGDLTcSWk0hUTiKWlGhNComqquKva8Jb4cRT4aKxsIbGvCoa8qtpLKg56fzBExSjAVNuJuZuXTB374KpWxcMsR2r5dPpUFUV94r11LzxEQRDmFLSSL/qJkzxCVpHE0IIoRFFpyN+3CSicrpS+vbL+CtrKP/Hs2T881ftdjGNzmQkryiJnMxKarfkY++ehDGmfZ/NG5UZT6/7L2XXr95h74pylvx7HzN+2X5btYlm2xc27y6MG90No8OicZrWZ0qwY7CbMcXbCLkb0cfKGZytSQ0ESR6bjftIJfZuSVrHaTUxA7NQFKg81oCr0oMjqeP93xAnKzvoZOGDewDIvnE8Mf0yNE505jxlThSdgqVPN2Jmnat1nB/MtXojqj9A9NSxmAtMIHMFQojTJAVDIYToAHRmE9b+PbH2b17RHPL68B4pwLv/KJ4Dx/AVlKI2eWjMr6Yxv5rK1QdP+npjbBTmRDvmJDumBAfmRDumBBsGmxm91YTeakRvMTb/bjWhMxlQVRVCKmpIRQ2FQFVRgyohf5CA20vA7Tn+u5dAg4eAy4u/tgFPhQtvhQtvpYuQL3DKx6SYjBjTkzFmpGDKycDcPRtTVmqnP5dP9fmpfvkDGj7fAoBjwBBSLr4Cnal9rtwUQgjRuiwZXehy288oeetlbNOHt9ti4VftfiOf6hfeI6Z/BgP/PqfddEw4lZgBmfT85XT2/fUT1r50jLjMKEZflaN1LHGGQkGVnZ807w5Lmdrx2pECKDqFse/fgaIo5BVJsbC1KQY9Pe+ZpnWMVmd0WLB1S8Z9uIJjm2oYODNd60iiDXkbA7z1860EvCHiR+aSdcUIrSOdlfiRuaTc/1N0JlO7OrdQVVXq3luCc+EqUBQctm6QkaV1LCFEO9K5Z12FEKKD0plNWPt2x9q3uTe9qqoEa534i8rwFZXhLy7HX1SOv6Qc1R/AX9eIv64R9+GK8AZVFPQxDvTxMRhTEjBmpGLMaC4SGhLj2tUb83DwV1RT9b/X8eUVg6KQNG0WsWMnynmFQgghTqKPspF5/W0oOh1efAD4SyrQJ8S2ywKiqWsWerOB+p1FHH5sJT3+39R2/9qXfG4fPGVOjj3/OR8/uIfYNCu9J6VoHUucgWObq3GWezA4LMSPyNU6Tptp7//nhDZiBmXhPlzB0U3VUjDs4D76y24qjzVgSrDT61fTUXTt8zlDDakt2Y3J7WtXnhoKUfPyAtyrNgAQP/E8zOmZGqcSQrQ3UjAUQohOQFEUDPExGOJjsA788ow7NRQi5G4kWFtPoNZJsNb55e16F6rHS8jjRfX6Ub1eQh4fqtcHqvr1AUCnA0VBMejR2azooizooqzHfzXf1jts6BNiMSTENv8eF93pdwyeroYNO6h+YT6qx4vOHkX6ZdcR1a3jnZEjhBCidZxYdGMuMNHgqKL8H8+gj40m6e7rMMTHaJzuhzFlpBB/29VUPvISpR/vxNY1kYyLh2gd66xlXTWSptI6yhbt5q1fbuOWl8aQ3rd9/dsI2PFRczvSpIk90Znkfa344QKVNYSSAx3y5yd2cBbF722Rcww7uK0fFLL9w2IUHfT57QWYYttn+3BPhZNd982n208m4UxtXzsk1UCQqmffoXH9dlAUUi66nJhho7WOJYRohzreuxEhhBCnTdHp0Efb0UfbMWWf3vkCqqpCIHi8SKg0FwllxXGbCfn81L7+Ee5VGwGwdskl9fJrMcbEaZxMCCFEe6Hb14AaCOLLK6bsT4+RdNc8zN27aB3rB4ka3IfYy2dQ9/YijvxvFbauScQOaN+r5hVFocdPp+KtcFG7JZ9X7tjEra+OJS6jfU60dkZ+T5A9y8oASJnSMduRnlCzJY9jz35GKCGNpB9fpXWcDqX8X89TUlXDoIeuIKZ/+z3z7dvEDshE0UF1fgPOcg/RKXKOYUdTccTFRw8cP7fw+nHEDmyfr81qMMT+vy2iMb+aA09vJPV3w9pNxyPV56fyiTdo2rYX9DrSLr0Gx4D2v7BKCKGN9vHMJ4QQImIoioJiNKAY9Cg6nRQL25C/pIKy/3u8uVioKMSfM5XMG2+XYqEQQogfxJqZTfYtP8OUkkaw3kX5P56hcdterWP9YNEzziFq9CDUYIi9f/oIb6VL60hnTWfQ0/f3s7DlJuKq9PLiLRtwV3m1jiVO08HPKvA2BDAnO4ju17EKPV+nMxpwH6rAu/9Y8wJC0SoC1XUEyqtQVZWoLvFax2l1BrsZW/fmdsvHtsguw47G1xjgzXu24m8KEjcsmy5XjdI60hkreGMj9TuL0FuNJN52ZbspFgI0bN5N07a9KEYD6XNvkmKhEOKstJ9nPyGEEKITca/dQun9j+IvKkNvd5Bx3W0kTp2JotdrHU0IIUQ7ZIxLoMvNd2Pr0ad5Jfp/X8G1eqPWsX4QRVFIuPEyjFlp+OsaKV/e/oqe38ZgNzPgwUuxpEZTXdDISz/ZiMfl1zqWOA07F5UAkDy5d7s9r+t0OXqmoBh0BOucBKpqtY7TYTTt2A9AdJ80jNFWjdO0jRO7Jgu2ys9NR7Pwr3uoOOLGlGCj970z2+3zYP3eEvJeXgdA7LWzMaYkapzoh7GNGUzMReeScc0t2Hv11TqOEKKdk4KhEEIIEUFCDU1UPf0W1c+8g+rzE9W1B9k/+Tk2Oa9QCCHEWdKZzaRffRPRQ0eCqlLzwnzc67ZpHesH0ZlNJN09jx7/7zyy5o7UOk6rMSc6GPC3OdjiTZTuc/LqXZvxe4JaxxLfwdsQ4OCaCgCSJvX6nnu3f3qLEfvxnWLeQ/kap+k4ThQM40d11ThJ2zlRMMzbUqNxEtGatrxfyNYPiprPLbzvAkxx7bOddsDtZf9fP4aQim3MYOzjhmod6bQE3Q2EPM0dCRRFIWX4hUR17aFxKiFERyAFQyGEECJCNO05RMnvH6Zh3TZQFBLOnUHGdbdhcERrHU0IIUQHoej1pFx8JfETz8PYJY2oIe3v3DVjUjy+wVM6XFv0qMw4ej1wBWa7gbzNNbz1i60EAyGtY4lT2L+qHL8nhDUjDnv3ZK3jhEXMgHQAvIfytA3SQag+P979hwFIGJWrcZq2EzOguWBYcdhFU73snu4IinfX8dGfdwOQfd1YYgdnaZzozKiqysFHluEpc2JIiif+uku0jnRagu5Gyv/+DJX/fQXV58dcYNI6khCiA5GCoRBCCKGxkNdHzasfUvHP5wjW1GOMTyDrR3eSMOm8dnV2ghBCiPZBURQSp8wg+/qforNagOZJMzUQ0DjZD5NXlETA7WH37z+gbkeh1nFahaNHCr3/7zIMZh37V1XwwR93EQrJeXGRaMv85p+55HN7dbji9anEHD+nUQqGrcOz/yghbwBzkh1b1ySt47QZU5wNa0YcqgoF22WXYXvXUOPl9f+3hYAvRMKYrnS5erTWkc6YGgih6HUoeh2JP57b8p4okoUaPVQ89Dz+wjL8BeXo9nq0jiSE6GBkFlIIIYTQkPdoIaV//C+u5c1nJsSMGEv2T36BtUvHXWUshBAiMuiMppZV6c5Fayh78GmC7gaNU/0wu57cRfUXR9j754/wlDu1jtMqYgdm0ut3F6HTK2xbUMTif+1DVaVoGEkqj7k5uqEaRQep0wdoHSdsoo8XDP3F5e3uuSIStbQjHdm1wxedT+wyzJNzDNu1YCDEW7/aRn2ZB2tGHL1/3X7PLQTQGfX0uXcmqf/3U8zdumgd53uFPF4q/vMCvmNF6Bw2Mm/4Cab4BK1jCdHulJaWcv/99zNs2DASEhKIioqiW7du3HDDDaxZs6ZVx6qurmbp0qX89a9/5bLLLiM7OxtFUVp+5eXl/eDvGQqFePXVV7ngggvIzMzEbDaTlpbGueeeyxNPPIHX6z2rzIaz+mohhBBCnBE1EKT+wxXUL1wFoRB6RzSpl8zF1qO31tGEEEJ0Mob9fpwfrybU0Ej5354m5Zc3o49xaB3rtMTMnkrT3kP4C0rZ86cPGfyfK9GbjVrHOmuJY7rR4+fnc+Afi1n38jGiYk1MurW71rHEcZveKQAgbmRXLCmdp3W8KS6K2MFZmOJtqE1esNu0jtSuOaaOJamrkeh+6VpHaXMxAzIoW7yb/K2yw7A9W/7fAxxdX43Jqqffny7CYDdrHemMqMEQ6I5P1hclYcrQOtH3C/n8VD7yMt5D+eiiLGReexvm5FStYwnR7ixYsIAbb7yR2tqTF7AcPXqUo0eP8tJLL3Hbbbfx+OOPo9frz2qsXbt2MXDgwLP6Hl9XVlbGnDlzWLt27Tc+X1ZWxqeffsrjjz/O/Pnz6dmz5xmNITsMhRBCiDDzHimg9P5Hqf9wJYRCOAYOJefOX0mxUAghhCb0UTaybrwTvSMaf1E5ZQ8+TaC2XutYp0VnNpF81zwM0RbcB8s59MiKDrMbL3VaP7r9ZBLQPEm79qWj2gYSAPg9QbZ9UARA+qxBGqcJv0H/uoI+v7kAQ1K81lHavR4jIOvKEcT0bwfVirN04jEW767H7w1qnEacid1LSvns+ebXoe6/mIEtJ1HjRGcu76V17PnDAnx1jVpHOS2qP0DlY6/i2XcExWIi45rbsKRlah1LiHbn008/5YorrmgpFl5wwQU89dRTvPrqq9xzzz3ExMQA8NRTT3HnnXee9XjB4Mmvd3q9nn79+mG1Ws/o+7ndbmbMmNFSLOzatSsPPPAAb7zxBg899FBLcXLPnj2cf/75lJeXn9E4UjAUQgghwiTk8VLz2oeU/eUJ/EVl6OxRpF1xHWlzrkVvjdI6nhBCiE7MnJxK1k13YIiJJVBWSfmDTxOortM61mkxJMUT/+NrQadQvnQPpQt3ah2p1WReNozseWMAWPTPfax9WYqGWtu9pJQmpx9zSjTxw3O0jiNEu2BJj8UUbyPoD1G8u30sSBFfKj/sYv7vdgCQecVwkib20jjRmavbVUTBGxuo/uIIh1e5tI5zWvwV1fgO56OYjGRcfQvWrGytIwnR7ni9Xm666SZ8Ph8Ajz76KAsXLuTWW2/lmmuu4aGHHmLjxo2kpjbv3H3yySdZuXLlWY3pcDi47rrreOSRR1i7di1Op5Pdu3eTnJx8Rt/vgQceYPv27QBMmjSJHTt28Jvf/Ia5c+dyzz33sHnzZq688koA8vLy+MUvfnFG40jBUAghhAiDpl0HKfntf3AtWweqimPQcHLvuBdH/8FaRxNCCCEAMCUkkXXTnRjj4glUVFP24FMEKttH+zhr3+7EzpkOwOHHV+LcV6pxotaTfd0Yulw7GoBF/9jH+jfytA3UyZ1oR5p2wUAUfeedUol378JXfGYr1wXUvLKAik/3E/IFtI4SFoqiEH18l2H+tvbxuiKaedx+3vh/W/A1BYkd0oWuP5qgdaQzFnB72f+3RaCCbfwwoob31zrSaTFlpJDy61vIuOpHROV00zqOEO3S888/33Je4KxZs751B2HPnj15/PHHWz7+3e9+d1ZjduvWjZdeeom7776bsWPHEhV15hsFampqePjhhwGwWCy8+uqr2O32k+5jNBp59tlnSUtLA+C1115j//79P3iszvvuVgghhAiDoLuBqmfepuKh5wlW12GIjSfjuttIu+xq9Db7938DIYQQIoyMcfFk3nQnxoQkglW1NO0+pHWk0xY94xyihvXDlGBHMXScS11FUci5fixdrh4FwMIH9rQUrUR4lR9yUbC9Fp1BIW16+5hobgv5r61n252vUf/Bcq2jtEueQ3m4VnzB/r8vItDo0zpO2ET3aZ7ALNxRp20QcdpUVWX+b3dQldeAOclBn99e0K4XShx+bCXecmdzZ4JrLtI6zndSVfWk9vAOJZeobmd2HpkQAt58882W2/fcc88p73fJJZeQk5MDwBdffEF+fn5bRzstCxYswOPxAHDllVeSkfHt7cztdju33HIL0Pw88tZbb/3gsdrvs7wQQggRwVRVxb1uGyW/+Q8Na7eCohA75hxy7vgltu7tt4WLEEKIjs8YE0vWjbeTfNHlOCaP0jrOaVMUhYSbLyfp9z/F0SNF6zitSlEUcm4cR+blwwD48P92sfWDQo1TdT6b320u1MaP7oYp3qZxGu0kjO4KQNPWPQTqnBqnaX/qP/oUaD6n1BTbeY4lOHGOYcG2GkKhjnHWbEf36ZOH2buiHL1RR98/zmrXP68Vn+6nfPle0Ckk3HolOqtZ60jfyblwFaW//Q+eA0cxF5i0jiNEu+Zyufj888+B5jahEyaceqe0Tqdj+vTpLR8vWrSozfOdjq/mmDlz5nfe96t/fib5pWAohBBCtDJfQQnlDz5F9dNvEXK6MSWlkHXzXSTPuASdObIvTIQQQggAQ3QMscPHtExShRo9+MurNE71/XRWC3r7l4Ucb7VbwzStS1EUut46kYxLhqCq8P7vd7J9YbHWsToNvyfI9o+a/77TZg7UOI227N2Sie6XjhoM4V69Ses47Yo3rxjPzgOgU8iaO1LrOGFl756Mzmygsc5P1bGO89zcUe1eUsrKxw8C0O2uKUT3TtM40ZnzVro49EjzjuiYCydj6RHZZwC6P99C3XtLCDV6CO2s1DqOEO3e3r17CYVCAAwZMgS9Xv+d9x8xYkTL7V27drVpttP11Rxfzfdthg4d2vIYd+/ejar+sEU6UjAUQgghWkmooYmaVz+k9I+P4j2Yh2Iykjh1Jl1+8nOsWTlaxxNCCCHOiOFgiPKHnqf8b0/jbydnGuYVJVG6aBcb5z1H1dr201b1+yiKQrc7JpN24UBUFd77zXZ2LS7ROlansGdZKU1OP+ZkB3HDInuyORzSLxoMgHvVBtRgUNsw7Yhz4SoAkif3xpoeq2mWcNMZ9TiOF53yt9VqnEZ8l+I99bz32+0AZFw6tN0vkvDXN2GwWzDlZhJz0RSt43ynpt0HqX7hPQDixk0mblT7PTNSiEhx4MCBltu5ubnfe/+v3uerX6uVUCjE4cOHAdDr9WRlZX3n/Y1GY0vL0oaGBoqLf9gCQykYCiGEEGdJDYVwf7aZ4nv/hWv5OlBV7P0GkXPXvcSfMxWdwaB1RCGEEOLMBQPg9BKsdVLxj2dPOlMnkpXubiTkC7D/74tpLGofhc7ToSgKPe6eSur5/VBD8PavtrFtQZHWsTq8ze81t4BNmzmgXZ/h1VqSJvTAGGMlWOukaft+reO0C/6SChq3NO8Q6NLJdheecKItaf7WjvOc3NG4Kj28dvdm/J4QcSNy6HbbRK0jnTV792SGPTWPpDuvRTF8984iLXnziql87FUIhnAMGELieRdoHUmIM+Z0Ok/65fV6NctSV1fXcjsxMfF775+QkPCtX6sVt9tNIBAAIDY2FsNpzDGezWOQGUwhhBDiLHgP51Pzxsf4jjSfaWNKTCbpgkuxyYHkQgghOgi9zU7m9T+m8PnH8FdWU/6PZ0m97zb00Xato32nuMtn4DtWhPdgHnvu/5Chj16D3mrUOlarUHQKPe+ZBkDZkj2899sdeBsDjL4qR9tgHVTlUTd5m2tQdJB6fn+t40QEnclA6owBFL65EdfK9UQN66d1pIhX//EqUCFhXHdsud8/YdkRxQw4UTCUHYaRyO8J8trdW3CWe4jqEk/f317YrhdIqCEVRacAUFSbiSHhe75AQ4HKGir/8yKqx4c1twcps69C0bXfv3vRekwHSzDo2s85lrqQD+Abu+D++Mc/cv/992uQqLngdoLFYvne+1ut1pbbLperTTL9ED80P5zdY5BnHiGEEOIM+MuqqHzsVcr+8gS+IwUoFhOJ02aRffsvpFgohBCiwzFEx5B5w08wRMcSKK2k/F/PEWpo0jrWd1IMepJuvwZ9rIPGvGoO/mfpDz7DI5Ipeh09f34+GbOHALDwgT2sfuawxqk6ps3vNS8Mix/VFXOSQ+M0kSP9woGggFpZRqhJu50D7UXujGwcvdPIvnqU1lE0E90nDUUHtUWNOCs8WscRX6GqKu//YSdFu+qwxhjp/5fZGOxmrWOdsZAvwLafvkHxgu0cK4z8An39R58SrHdhSkkj/aobpEuRaPcKCwupr69v+XXfffd95/0nTZqEoiit8uvNN98M06PsmOTZRwghhPgBgk439QtW4Fq1AYIhUBSih4wk8dzpGKJjtI4nhBBCtBljbDyZN/yYghcfw19QSvm/XyDllz9CZ4ncCUV9rIPEn1xN+d+fpmLlfqL7ZZBx8WCtY7UaRafQ7fbJ6G1mCl5dz7JHDuB1Bzjv//VCURSt43UIAV+wpeVrajs/x6u1WVJjGPzwXKJ7p5FfGrnPA5EiYXRX4kfldur/mwabGVvXZNyHKyjYVkv/89O0jiSOW/30YXZ+UoLOoNDz97Pb/Rmbx15Yi2tfKZ7SOlJ6jUVvt2kd6TvFz7sYg89C3PjJ6C3W7/8CISJcdHQ00dHRWscAwG7/siuKx/P9i1Wamr5cFOlwaL9Q7Ifmh7N7DFIwFEIIIU6D6vPjXL6O+o9Woh5fQW3r2ZfE8y7AnCIXukIIIToHU2IyWfN+TOGLjxOorCFYU48uPVnrWN/J0iuXuMtnUPvWJxx54lNiB2Viy4n83QanS1EUcm8Yh8Fq4ugza1jz3BH83iAzf923UxcmWsu+leU01vkxJdpJGJmrdZyIE9OvucVkTmYleUVJGqeJTKqqkptVBSD/J2k+x9B9uIL8rTVSMIwQ+1aWsfzRgwB0u3MqsYOzvucrIlvdziKK3t0MQOz1l0dssVBV1ZbnBMVoIHnmbI0TCaGdOXPmMHjw4Fb5Xr169Trp49jY2JbbVVVV3/v11dXV3/q1WrHb7RgMBgKBAHV1dQQCge89x/BsHoMUDIUQQojvoIZCNKzbRt0HywlWNZ+1YU7LJOn8WUR17aFxOiGEECL8zCnpZF77YwK5Ooyp7aNA4Jg+Ae/RQpL7OYjqEsGHGJ2FrCtHoI8yceiR5Xzxah6hoMoF9/VDp5MCxdlo2V04rV+7PsurrYV8AZr2Hsbat7vWUSKKqqpUPvwSuiEJZF05Ap1Rr3UkzTn6pMEH2yjaXad1FAGU7nfyzr3bAUi/eHBzq+F2LNDo48A/FoEK9nOGEzWkr9aRTqn+wxWoHh+xl0/HUnR655IJ0VHdeeedbfa9v1pAPHbs2Pfe/6v3+XrxUQs6nY7u3buzf/9+gsEghYWF5OaeehGb3++nuLgYAJvNRkZGxg8aTwqGQgghxLdQQyEat+yh/v1l+EsqANA7okk67wIcA4fJAeRCCCE6NUtGFvjAiw8Af0U1hqT4iN09oygKibdfjaooKLpKreO0mfRZg1AMOg79eykb3sjH7wly8R8HoDfI+5Yz4ar0cGht889LyrTInXTWmr++ia13vIq30k3aX36GMa19LCQIh4Z122jasZ+CfQaSp/TBmiZHGDh6pQDNhaqgP4TeKM9PWqkva+KVOzbhawwSO6QL3X4ySetIZ+3IE6vwlDnRJ8YRd9WFWsc5pYZNu6h/fzkAjoRe0LOPxomE6Lj69u2LTqcjFAqxbds2gsEgev2pF/Bs2rSp5Xb//v3DEfF7DRgwgP379wPN+b6rYLh161aCwSAA/fr1+8HXZ/KqLIQQQnyFqqo07TxA2Z8ep+rx1/CXVKCzWUk870Jyf/obogePkGKhEEIIcZy5wETj9v2U/u5h6hes0DrOd/rqxXLQ66d64/evMG6P0mYMoOcvp6PoYOv7Rbx+9xZ8jQGtY7VLG98qQA1BdN80ojLjtY4TsYwxVqKyE1GDIWreWIiqqlpHighBVwPOtz8CIHveaCkWHmdNj0NvMxPwhqg44tI6Tqflcft55fZNOMs9RGUn0O+Ps9AZ2vcO2Or1RylbtAsUSLz5cnTWyNy158svpvqZtwGIHXMOtggvFqqBgDyvi3bN4XAwbtw4AFwuF59//vkp7xsKhViyZEnLxzNmzGjzfKdj+vTpLbcXLVr0nff95JNPWm7PnDnzB48lM55CCCEEzYVCz/6jlD/4FBX/fgFffjGKxUT8pGnk/vR3xE84F53JpHVMIYQQIuIoR9yoPj/1HyzHtXrT93+Bxo4edLDt7jfY/bv3qdtRqHWcNpE6rR99/3gxBrOOA2sqeP5HG2io8Wodq13xuP188XpzUTnzsmEap4l83W47B8Wgw7PzAO5PN2gdJyLUvrEQf30TtpxEMi8frnWciKHoFBw9m3cZFu+u1zhN5xT0h3jr59soO+jCGBfFgAdmY7BHZnHth2gqrgWdgmPaeCy9u2od51sF6pxUPPIyqs9PVPfeJE2bpXWk7xRwuyh84X/UfbFa6yhCnJW5c+e23H7ooYdOeb8PPvigpSXp6NGjycnJaetop+Xiiy/GYml+nn7zzTdbWo5+ndvt5plnngGaF0teeeWVP3gsKRgKIYTo1E7sKCz/65OU/+1pvAfzwGAgbuwkcn/6OxLPnY7eYtU6phBCCBGxYkeMJf6cqQDUvPQ+TTv2a5zouylWM6RkQkhl3wMf46tt0DpSm0gc153+/7wSa4yRol11PH3tOqoLOuZjbQub3i7A4wxgzYojcbycW/19orokkHvzBABq3/gIX2GZxom05fp0Aw3rtoECPX42td3v3GptJwqGRXukYBhuqqry0QO7ObS2EqNVz4C/zMaS2jF2v2ZeNozUP9xJ7GXnax3lW6k+P5X/fYVgTT2mxGTSrpiH8h1tESOB6vfjr66kdv0araMIcVZuuukmunTpAsBHH33E448//o37HDp0iDvuuKPl4z//+c+n/H45OTkoioKiKKxatarV835dQkICd999NwAej4drr70Wt9t90n0CgQC33HILpaWlAFx99dX07t37B48lZxgKIYTolNRQiMbNu6lf+Cn+guYXUwx6YoaMIv6cqRhjYjXNJ4QQQpxQt/Fz4idMidjzAQESpswg4KzDuX0zlY+/Rsq9t2LumqV1rG+lKArx18/Gl1+Cr7icfQ98zMC/z0HRd7z1tDF90+n/8LXsuu89qgucPH3tOq773wgy+sdqHS2i+T1B1r7UvLq8y9yRHfJnoy1kXjqMuq0F1Gw8RtWTb5D6hzvQmTtfhw7PwTxqX1sAQO5N44npl6Fxosjj6JUKQPHuOm2DdEKfPX+Uze8WoijQ874LW/4tOgpzTuT+f6t+cT6+o4XobFbSr/lRu1iYbIyLp/uUH6EoOvZ/+LDWcYQ4YxaLheeee46ZM2fi9/u58847Wbx4MRdddBE2m42tW7fy7LPPUl/fvJDllltuYerUqWc97nPPPdeyY/GEurq6ltsPPfQQMTEnL9r4y1/+8q3f63e/+x2LFy9m586drFq1ikGDBnHLLbeQm5tLSUkJL774Ijt37gSgS5cu/POf/zyjzFIwFEII0amogSANX2yj/uPVBMoqAVDMJmKHjSVu7EQM0R1jdaUQQoiOo3r5J/gqyki56IqIbY+tKAopF19JwOWi8cgBKv7zIqm/vx1jcoLW0b6Vzmwi6Y5rKPu/R6nbXkjey1+Qe+M4rWO1iaiseAY/chW7fzMf95FKnrtxPXP/PZSeE5K1jhaxtrxfiLvaiznZQfKUyD5bKpIoOoVev5zO5ltfwl9cTv37y4ibe4HWscIuWO9C0elInNidrLkjtY4TkU4UqcoPufB7gxjNkb3LqqPYtaiEpf9p7gLQ7fbJJI7trnGis+etcrH/74vpfvtkKo2R/XxtHdSbxq17Sb/8BkwJSVrH+VaqqlL72UpMyanYe/fDka9CcjZBn0fraEKctalTp/LWW29x0003UVdXx8KFC1m4cOE37nfLLbfwxBNPtMqYr7zyCqtXn7ql72OPPfaNz52qYOhwOFi0aBGXXXYZ69ev5+jRo9x3333fuF/fvn157733SEtLO6PMskxOCCFEpxB0N1C/8FOKf/l3qp97l0BZJbooC/GTptH1Z78nafpFUiwUQggRmRQF186tFD77KP7aaq3TnJKi15M+93rMaRmEXA24lnyudaTvZExPJv76ywAoeG09NRuPfc9XtF/mBDuD/n0lsUO74GsK8uqdm9nwZj6qqmodLeIE/SE+e/4oAFlXjpBWkj+QKS6K3vfOIG54Dv1u6qd1HE30m53KkMeuptcvpkf0znAtmZMdGGOthAIqZQecWsfpFPK21vDeb3cAkHHpUDJmD9U40dlTVZUDDy2lblsBu/65OuJf02yjBtH1Z78nqmtktrkO+f2UzX+dquUfU/ruq5j31mkdSYhWN3v2bPbu3cvvf/97Bg8eTGxsLBaLhdzcXObNm8eqVat4+umn0Udou+D09HTWrl3LSy+9xPTp00lPT8dkMpGSksLEiRN5/PHH2bp16xm1Ij1BUSP92bSNOZ1OYmJiyHrifnTW9n/ArxBCiJMFGxpxfrwa1/J1qD4/AHq7g7ixE4kdMRadWZ77hRDaCno8HPnrb6ivryc6OlrrOCKCnLhW6Xbej8hb9xbBBjc6axTpV1xHVLeeWsc7pYDLSd2Gz7FfPzniz+YBqH7pfdyfbsCaGceI527o0O0nQ/4gBx5aQsXyfQAMuzSLWb/vj8HYcR/zD7X1g0Lm/24nxrgoRr16M3qzUetI7ZKqqi3FsryiyNxJ05rUUIhgrZPug/xaR2k3dv1mPjUbj3Hhb/ox+uocreN0aOWHXTx73Rc0Of0kjOtOvz/M6hCvdSULd3Lo4WXoTAZS778bY3rk7Zz3V9agMxrRxzowF0RmlwiAYIOb4tefx1OYBzodWaMuIbnvl50Xgj4P21/5rVyvhNGJ64CpyTdj0EXuz87XBUI+llc8Kz8r7Vi7aEna1NTE66+/zoIFC9i1axfl5eUYjUZSUlLo0aMHkydP5uKLL6ZHj8hcoSGEECL8Ql4frmXrcH6yilBjc/sMc1oGcWMmYu8/GJ2hXbwECiGEaAfa+nrFkdqVvhf+P46seInGqkKKXnmapBkXEzdqQis/ktZhcESTOHUmXr0PoGXFf6TutIm/6kJQVfrdMqhDTKB+F51RT+9fz8Cem8Sx59awZX4h1QUNXP3wMKJi289kVFsJBVXWPHcEgMw5w6RYeBa++v/dtWoj1gE9MSTEaheoDamhENXPvYtvz37S/nk5ttxErSO1C/YeKdRsPEbZQdlh2JbqSpt46baNNDn9RPdNo899MzvEa52nrJ6jT60CIOay8yOyWBjy+qj878uEXA1kzL0Z0iPzbGd/XQ1FLz+Nv6oCndVKt0nXEZ0euQvThBBtK+JnSz/++GNuv/12CgoKTvp8U1MTTqeTQ4cO8cknn1BUVMTDDz+sTUghhBARI9Tkwb1mM85FawjWNV98mlLSSJx6AbaefSJ2slIIIUT7FK7rFZM9jl4X3EH+2nepObwZhch/PTMXmPCkN1Lzyofo46KJvWSq1pG+lWIyknDDpVhSKrWOEhaKopB15QhsuYkc/OuH5G2u4cmr1jLv8REkdbVrHU9Te1eUUXWsAUu0gfRZg7WO0yEUv7+Vmhc/xZieTMpvbkNvt2kdqVWpoRA1L86nYe1W0Ck0FddKwfA02XKaz7itOOzWOEnH1Vjv46XbNuIs9xDVJZ7+f5mN3tL+F0KooeZWpMEmP+aeOTjOi7wziFVVpeblD/AXlqGLtqO3O7SO9K28FWUUv/wUAWc9RlssPaffiiU2RetYQggNRXTB8IUXXuDmm28mFAqhKArTpk1j6tSpZGRkoCgKpaWlbNmyhUWLFmkdVQghhMYCVbW4lq/DtXojapMXAENsPIlTpuMYMBRF1/5XUQohhIgs4b5e0RmM5Jwzl4TuQ2Fkr1b5nm0tsPIY7tUbATCmJWEbNUjjRKeWV5RETmYl1euPoLMYiRvcRetIbSp+ZC4DHrmW3b99n5rCep66Zi1X/msoPcZ1/PaR30ZVVVY/cxiAlIuHY4iSHZetIWFsdwrf3oS3pIKyB54k+e7rMKZ1jJ+xkNdH9QvzaVy/HXQKfe6bSeJ46Xx1uqKyjxcMj7pOamErWoff03xebeVRN6ZEOwMevAxjtFXrWK2idOEO6rYVoDMbSPjRnIi81nev3ti8kEBRSL/sOozRsVpH+lb1W9YTcNZjiU2hx/RbMdlitY4khNBYxBYM165d23Lx3aVLF+bPn8+wYcO+9b7BYJDy8vIwJxRCCBEJvEcKcC75nMbNuyEUAsCUmEzs2IlEDx4hrUeFEEK0Ca2uVxRFITqjFxSAKxuCTU1UfPQOiedfhDEmtlXGaE323v2IGzuR2nWrqX72HQxJ8Zi7RmZLLoA980up+t8HGOOiGP70dZjiOtZuqK+zZScw5LGr2XP/hzh3F/PK7ZuYeW9fRl+Vo3W0sDv0eSWl+5yYrHoyLhmqdZwOw5ISzYC/zWHnr9/FV1pJ+Z8fJf7mK4ka2k/raGfFV1xO1eOv4S+pAJ1C719NJ3lyb61jtStRmXHo9AoeZwBXpZfoZDlbvrUEAyHe/tU2CrbVYnEY6P/gZVhSOsZZYqqqUrW2eXFHzGXTMaZE3o5e79FCal79EIDEqRcQldtd40SnljRtFpZGEyn9z8Fg6djveYQQpyfylmAAfr+fG264gVAohN1uZ+XKlae8+AbQ6/Wkp6eHMaEQQggthbw+3Gu3UPaXJyj78/9o3LgTQiGiuvYg/dqbyb7zV8QOHyPFQiGEEG0iUq5XHPkqNW++g2v3dgqf+S/e8tJWH6M1JE6bha1HH1R/gMr/vkygpl7rSKdkHdQbY0YK/tpG9v9tEWpI1TpSmzPFRjHoH3NImdaPUFBl4QN7eO93O/A1BrSOFlYndhcmXzgYY0zH2IUTKWzZCQx74lpiBmYSbPRR+d9XqJu/FPX4Yr/2xnu0kPI/P4q/pAJTgo1B/7yclKl9tY7V7uhMBszpsQBUHJG2pK1FVVU+emAP+1aWYzDp6PWnyzpUm1xFURjw10tJuPVKHFPHah3nG4LuBioffw0CQWx9+hM3frLWkb6h8egh1GAQgOgiHRnDZ0ixUAjRIiILhu+99x6HDze/Wb/nnnvo1q2bxomEEEJoTVVVPAfzqHruXYp++heqn3kH7+F80OuJHjKC7Nt/TuYNP8Hes29EtiQRQgjRcUTS9UrGiAuwxCQTcNZR+NyjNB49pFmWU1F0OlIvn4cpOZVgnYvKR14m5PVpHetb6cwmEm+/Gp3ZQO2WfAre3Kh1pLDQmQz0+uX55N4yAUUH2z4o4om5ayk/5NI6Wlgc21xN/tZa9EYdmZcN1zpOh2SKszHwH3PIuLR592b9Ryvx5RVrnOrM9BhrxN41idihXRj25DxiB0XurulIZzvRlvRw53iuCYdPnzzM5ncKUBToed+FxA7M1DpSq1P0Ouxjh0TkdX/de0sJVtdhjE8kdfZVEddqt3b9GopefILyj97Bntc+F20IIdpWRG69eO6551puz5s3T8MkQgghtBaorqNh7Vbca7cQKK9u+bwxPoHowSOJGTYKg6NjtFcRQgjRPkTS9YrZEU+vWXdxZNnzuMuPUfTK06TOnkv0wFPveNSC3mIh45ofkf/sw/jyi6l+7l2Sbr9a61jfypSRQtw1F1P9/HvkvbiW2AEZxAzoeBOuX6coCl2uHEl07zT2/fUTKo+6eWLu51x4Xz+GXZYVcZOerWnNM0cASD6/P+ZEu8ZpOi6dQU/32yfj6JmCr7aRrHMs5BVpner0+CuqMcTHkptTA+jp/5fZGGxmFH3kFSzak6jsRPj8MBVHpGDYGja+nc/Kxw8C0P2uKSRN6DhnajaV1lO6cAfZ142hsDJyu8zFXTED1eMjccgU9JbI2q1e89lKqpYtBMDiMQMq0HFf24UQZybi3tkEAgHWrVsHQEJCAt27d6e0tJR7772Xvn37YrPZiImJoX///tx9990cPHhQ48RCCCFaW7DOhXP5Osr++iTFv/g7dfOXEiivRjGbiB4yksyb7iDnp78hYdJ5UiwUQggRVpF4vWIwR9Fj+m3E5gyEYJCyd1+j5vOVbT7uD2WMSyDjihvROWzYx0dWQfPrbBOGYxszGEIqex/4GH99o9aRwiZ2UBbDnppH3IgcAt4QH9y/i3d+vR1vQ8dsUXr4iyoOra1Ep1fIumKE1nE6hZSpfcm6vHknZ05mJSnKQZzL1qL6I+9nLOTz41z8GeV/fJjQkvdbPm+MtkqxsBXYco7vMJSWpGdty/uFfPTn3QB0uWY06RcN1jZQK1JDKgf+tYTCtzax7W9rtY7znXRWCxkz5mFOjayiZs1nK1qKhWlDppE5+mIURZ7DhBDfFHE7DPfu3UtjY/PFWFZWFsuWLWPu3LnU1NScdL89e/awZ88e/ve///HAAw/w61//Wou4QgghWomqqjRt3YNz2Tq8B46B+uWZQdbsrkQPHYmj7yB0ZrOGKYUQQnR2kXq9ojMY6XruPIo2fETFnjXUrf+MmGGj0Vuj2nTcH8qa3ZWuP/0d/u6RvaJdURTir5uN91gRvrIqKtccIn3WIK1jhY0pNooBD1xK4TubyH/+c3Z+UkLx7jqu+s8wUnt1nMVaHpef93+/A4DUCwdhPX6emgifYJOfPX/8kIa8KpxLPidm1rnNrQaN2k5Xhbw+3Gs24fx4NcE6JwCug+WEAkF0Br2m2TqSqBMtSY+4UFW1Q+9kbkvbFhTxwR92oqqQcckQcm6IvLP9zkbJR9up31GIzmIgZta5Wsf5hmCdi8ate7BPHoWlMPLmK5qLhR8DkDb0fNKHTNM4kRAikkVcwbC0tLTldmVlJbNnz6ahoYEBAwYwb948srOzqays5P3332fFihUEg0HuvfdejEYj99xzz/d+f6/Xi9frbfnY6XS2yeMQQghx+jz7jlD7zmJ8RwtbPmfJzMbRfzD2fgMxxsRpmE4IIYT4Ulter5zttYqi6MgafTFmRzz6Eb0irlh4gs5kxlwA3i4+ApU1qIEgxrQkrWN9g85qJun2q4n1HiF5cm+t44SdomtuURrTP4N9f/mY6gIXT127jpm/6svwOR2jRenHf9tLfZkHS3osXW+eoHWcTkln0pMxewh5L3+Br6qWmhfeo/79pTimjccxaRS6KEtY8wTrXbiWf4Fr5XpCDc2LQ8zJDrLnjSF1Wj/ZVdjKojLjUBTwOAM01PiwJ0ResSXS7V9VzvvHi4XpFw2i2x2TO8Tz8wmesnqOPvMZADFzZmJMTtA40cnUUIiqZ97Cs+cw6tF6LNNmaR3pJLVrV7UUC9OHTidtyHkaJxJCRLqIKxjW1ta23C4ubj4A+6abbuLpp59Gr/9yFdcdd9zBo48+yt133w3Avffey5w5c+jSpct3fv8HH3yQP/3pT22QXAghxA/l2XeEug+WN+8oBBSTkbjRE4kZPhpjbLzG6YQQQohvasvrlda6VknuNwEa4cSJUN6yYkzJaSi6yJroDq0tofT1Z9E5okj7453orOEtDJwOU5d0GkkHKrWOopmYfhkMe3Ie+/76MbVb8lnwp13sW1nG7P8biCMp8v7NTte+lWVsW1CEokDvX01HbzVpHalTUvQ60i4YSPKUPpR8tIOi97bgq3JR9/YiXAtXYBk2EPuE4Zi7ZqGEYWefsm4p9R9tAsCSHkvWnGGkTu+PzhRx02cdgs5kwBhnw1fTgLPcIwXDH6hgWw1v/WIroaBKynl96X7nlA5VLFRVlYP/WUbI48fcKxfHuaO1jvQNzsWf4dlzGMVkJHrISK3jfIMxMQlFrydt0HlSLBRCnJYzumKcNGkSiqK0yq8333zzpO8dCoVO+rh79+488cQTJ118n3DXXXcxe/ZsAPx+P0888cT3Zr/vvvuor69v+VVYWPi9XyOEEKJ1efYdoezBpyj/+zPNxUKDnpiR48j96W9JnDpTioVCCCHOSnu9XmntaxVHvkrD4QMUPPUw5QveQv1adq0Z4xLQ6U0EyqqoevYd1K+0I480eUVJ+GobOPTf5QS9fq3jhJ0xxsqABy+j248nYTDpOPhZJf+9ZA27l5R+/xdHoIZaHx/cvwuAjMuHE9M/Q+NEQm8xknX5cEa9cjO9fnk+UdkJBBt9NHy2mfK/PknhnX+i4pGXW+V5TA0G8R4uoG7BCsr++iSWvavIyawkJ7OSjEuGEN0/g75/mMXIF24k/aLBUixsY+ZEOwD15R6Nk7QvFUdcvHLHZvyeEPEjc+n582kouo5TLAQoX7aX2i356EwGEm68NOIWPnmPFlL33hIAkmfMxpyUonGib7L36kffS38lxUIhxGmLuHc9DofjpI9vvPFGTKZTr/S77bbbeP/95oOnV65c+b3f32w2Y5bzr4QQIuxUVcW7/+hJOwox6IkZOpr4CedK21EhhBDtQlter7TFtYqpwI2qqji3bUINBEi99GqUbyluasFgd5A293oKn3+Mpi17cH68mpgLJ2kd61upqsrmexbgL2wukPW4e6rGicJP0SlkzhlG3Igc9v/tE9yHKnjz51sZuDKdWb/pjzXGqHXE06KqKh/+eRcNNT6ichLIvWGc1pHEV+iMelLP70/Kef2o2XSMqs8PU7X2EAGnB0NTLbldqoHmIn7tO4tRPV500Xb0Dhv6aDu6E7/brOijmwtRIZ+f+g9XEKx3Eaxz4T1cgNr0ZXGqZoOJ1Gn9ADAnORjy8NzwP/BOzJTkgIPlOMubtI7SbtSVNvHirRtpcvpx9E6j7+9ndbizNUOBIHkvrQMg+pLzMKZGVuvyUJOHqifegGAIe//BRA8dpXWkFs7tm7B0ycUUn4gjX4XoRK0jCSHakTMqGM6ZM4fBgwe3SoBevXqd9HFc3MkTxsOGDfvOrx8+fHjL7SNHjrRKJiGEEK1HVVU8Ow9Q//EqvAfzmj/ZUiicgjEmVst4QgghOiC5XvlSfLehKDoDR1e/imvXNtRAgLTL56EYImPtqDUzm+SZl1Lx4TvUvbcEU24G1n49tI71DYqiEHflDCr+9TwlH+4gbngOiWO7ax1LE7bsBIY8ejX5r66n6I0N7Py4hLzNNVzypwH0HJ+sdbzvtXNRCXuWlqEzKPT+1QzZPRahFJ1CwqiuJIzqSs+fnYf7SAVBz5e7ezPjishftBpC374zOWlyL/r+9kIA1GCINR+vgq/c1WA3EzukC3HDsokbltOGj0R8n5YdhmWyw/B0NNb7ePnHG3GWe4jqEs+AB2ajt7aPBRs/hM6gZ/C/r2Tvy/uIPn+81nFOoqoq1S99QKCyBkNsHCmzLo+YVrDOXdsoe/9NDI5o+l74M7A6vv+LhBDiK87onfGdd97Z2jla9O598mHyMTEx33n/r/650+lsk0xCCCF+ODUUonHjLuo/XtWyGh+DnthhY4gbf64UCoUQQrQZuV45WVzuQLrpb+Doyhdx79tFyVsvkX7l9RFTNIwZNhpPUT7OrRupeuIN0u6/C0Ni5HUesPbvSfT0CTgXf8aBfy3B8XRqy0R3Z6Mz6Mm9YRwJo7qy/++LcBbV8vKPN9F3SgrTf9GX+KworSN+K2eFh4V/2QNA1tWjcfSMvPZx4psUnYKjx8n/VmogSLcfT8Jf14i/rhFffdPx20346hoJNn5ZXFT0OrKuGIE+yoQpLgpb1yQcPVJQ9JHV3rCzMic1FzSc0pL0ezXV+3np1o1UHHFjSrQz4MHLMMZYtY7VZiwp0cRfdaHWMb7BX1xO48adoNORNuda9NbI+DdoOHyAsvmvg6oSl9EPg6VzvkcRQpydyLhC/IrExETS09MpKSkBoL6+/jvv/9U//76LdSGEEG1P9flxr9uK85M1BCqaWwYpZhOxw8YSO/YcjNGx2gYUQgghzkJ7vV6J7dKX7uf9iMPLn6fhwB5K3321eadhBLQnVRSF5Asuw1tWgrekiLoFK0j80RytY32r2MvOx7PvCL78Evb/fRED/z6nw50Z9UNE90lj2JPzOPb855Qu2MbeFeUcWFPJuOtzmXhrd8xRkTPloKoqH/xxJ01OP/aeKXS5OnLax4kfzhgTRealQ0/7/l1vOacN04izcaJgKGcYfremej8v3rqB4j31RMWZ6PvgZVhSorWO1er8Lg/ug+XEDcsmryiy2pCeYMpMJfU3txHaXoG1S67WcQBoKsqn5M0XIBgkLncwWWNmR8yuRyFE+xKRy6lmzpzZcnvLli3fed/Nmze33P56uyAhhBDhE2xopP7jVRT/6h/UvPg+gYpqdFE2EiafT9ef/Z6k6RdJsVAIIUSH0F6vV6IzetFtyo0oen1EFAq/Smc0kj73BhznjSNh3sVaxzklxWgg8cdXobMYqNtWQOHbm7SOpDm9xUj32ycz9KnriB3ahaA/xJpnj/DwBavY9mERoVO0jAy3Le8VcvCzSgwmHb1/PaPDnfclRHt1Yqe2q0IKhqfy9WJhn7/PxZbbMc+lO/rkKnb++l22P7pd6yjfKdrUg9iRkXEGrq+ynOJXn0X1+XCk9yRn4lUoSkRO+Qsh2oGIfPa49tprW26/8MIL+Hy+U973qaeeark9Y8aMNs0lhBDim/xlVVS//AHFP3uQuncWE6xzYYiOJWn6xXS953ckTD4ffZRN65hCCCFEq2nP1ysxmb3pdeFdpF52TcQVDY2x8aRNuAzFFNlnMRnTkoi9qrmoWb58LyF/UONEkcGWk8jAv8+h3/9djCU9Flell/d+s4Nn5q0jb2uNptm2fVjEwr82tyLtcuMEbNkJmuYRQnzpqzsMVTUyFhhEkm8rFtq7RubOu7NVsyWPsiV7QAFL/55ax/kG18r1+IrLtY5xEn99HUUvP0WosYGopC50m3oDOn3k7O4XQrQ/EVkwnDhxItOmTQPg8OHD3H777YRCoW/c77HHHuP9998HwOFw8JOf/CSsOYUQojPz5hVT+dhrlNz3EO6V61F9fkwpaaTMnkvu//sNcWMnojOZtY4phBBCtLr2fr1iS8wiurC5TZUaCuHasyOiJmnNBSbUUIj6jz6NuIm5E+znDCf+uksY+ujV6IyRVXjVkqIoJI7tzohnryf3lgmYovQU7qjj2eu+4PkfrefY5uqw5gkFVRb9cy/v/WYHAV+IxPHdf1AbSyFE2zuxw9DfFMTjDGicJrL4PUFeuWNTpygWBpv8HPrPMgAcU8di6ZGtcaKTeQ7mUfPKAsrufxTdDpfWcVooej36KBvmmCR6TPsReqPMwQghzk7ELjl48sknGTt2LGVlZTz33HNs2rSJefPmkZ2dTVVVFfPnz2f58uUt93/uueeIj4/XMLEQQnR8qqri2XcE5yer8ew+1PJ5W8++xI2diDW3u/TJF0II0Sl0hOsVe16IQ1vewLVjC/GTppF47nStI7Vwv7CCus9W0LBhO6l/uBNdhO06VBQFx7mjKayGnMxKreNEHJ3JQJcrR5IytS/5L62jYulujm6o5uiGanJHJnDuT3qQO6Jtd/k1Of28/attHPq8+d+ny9WjyLlhXKc+c1KISKQzGUCnQEjF7w1iJbKe77USCqq88+ttFGyvxRJt6NDFQoC8V9bhKXOij48h9rLztY5zkpDHS/Uzb4Oq4ug3BGNc5OxSN9gd9Jl6O0G/B4PFrnUcIUQHELEFw9zcXJYtW8YVV1zBvn372LlzJ7/85S+/cT+73c5zzz3H5ZdfrkFKIYToHNRAgIYNO3Eu+Qx/QWnzJ3U6HP0HEz/hXMwp6doGFEIIIcKsI1yvKIpCbFQXXGyhZtVS9GYLceMmaR0LgNjRE6jfugF/UTm1ry8k4YbZWkc6JTWkUrxgG9aMOBJG5modJ6KYE+z0vGcaXa4ZTcEbG6lYvJNjG6t5bmM1uSPiOff2nm1SOKw85ua1uzZTldeA0aKj+y9mkjxJ2zNEhRCnpuh1qKEgoWDk7HbXkqqqfPL3PexdUY7eqKPX/Zd16GKh+0gFRe82nwkdf90l6CyRtUuu9u1FBCprMMTEkTTzEq3joIZCeArzsWY3v+fQmyzoTRaNUwkhOoqILRgC9O/fn+3bt/Piiy/yzjvvsHfvXiorK7Hb7fTs2ZMZM2Zw++23k5TUcV80hRBCS8GGRtyfbsS1fB3BOicAislIzJBRxI2dGFEr64QQQohw6wjXK8l9xxP0eSjZsojKJR+is1qJGTpK61gYHNGkXnYNxS8/hXvVBix9u2EbOVDrWN9q9ytHqHnlU0zxNoY/cz3GGKvWkSKOJSWanv9vKl2uGknhmxspX7STY5tqeO7G9aT2dNDv/DT6T0sjKffsd0cc/KyCt3+1DY8rgDnJQb//uxhHj5RWeBRCiLaiM+gI+oME/d9s790ZffrEIda/ng9Az1/PJHZgpsaJ2o4aUjn4n2UQUokaPoCowX20jnSSpt0Hca9cD0DqJVeit2j/Gl+9aik1q5aSOHUm2dlTtI4jhOhgIrpgCGAymbj11lu59dZbtY4ihBCdhr+iGtfStbg/24zq9QGgd0QTN2o8McPHoI+yaZxQCCGEiAwd4XolddAUgr4mynetovzDd9DbHdh79tU6FrbuvYibcC61n62k+oX3MOVkYEyOvMVKtgnDca34Al9JBYceWU6f318oLdpPwZISTY+fTiVr7vHC4eJdlB10UXbQxYpHD5LSw0H/E8XDrqdfPHRXecnbUsPh9VVsea8ANQTR/dLpd/9FmOLkfasQkU4x6AE/oYDsMFz9zGFW/q/5+I9ut0/u+LujFci6fDh5L60j7ppZWqc5Saihiern3gUgdtR4orr11DgROHdto2bVUgBsXofGaYQQHVHEFwyFEEKEx4nzCV1L19K0Yz+ozRdrppQ04sZOInrAEBSDvGwIIYQQHY2iKGSMuBB/k5uaw5spfetlsm66A0tGltbRSDx3Bk15R/EU5lH1xBuk/vbHEfd+RGcyknDrFZT/+X9UrjlIwsr9pEyJrB0SkeZE4TDnxnFUrztCxeoD1G/Lp/yQi/JDLlY8dpDkbnaSuzuITrYQnWzGkWxpvp1iQadXyN9WS96WGvI2V1N1rOGk7586YwA97p6CzqjX6BEKIX4IRa8D6PQtST9/4QjLHjkAQO6PxpN56VCNE7U9RVFImtgLd+5YFJ1O6zgncS5fS7DWiTEhicTzLtQ6Dk2F+ZS//wYAKQMmkdhzpMaJhBAdUWRdaQkhhAi7kM9PwxfbcS1bi7+orOXzUT16EzdmIlHdesoqeSGEEKKDUxSF7PGX42904q44SsBZBxFQMFT0etIuv5b8J/+Fr7AM77FiLD2ytY71DeacTKIvmkL9+8s4/OgKYgdmYk6Slf/fxxhtJXV6f1Kn98fvbKJ63REq1xykbmseFUfcVBxxn9b3URSI6ppE7IBM4kbmEj8iR96/CtGOnCgYBgOdtyXpF68eY/FD+wHIuWEsXa7Svj14Wws0eDHYzOQVJaFEVq0QgJgLJ6Po9DjieqEzmTTN4q+rpeSN51EDAWK69CNj+AWa5hFCdFxSMBRCiE4qUFOP69P1uD/dQMjdCDSfTxg9eCRxoydgSkzWOKEQQgghwkmnN9BtyvV46soJ9cnROk4LY2w8aXOuJ9TDiikrVes4pxRz4SSaduzHd7SQ/f9YzMC/z0HRSdHqdH29eFi3owhvhRNvtRtflRtvdcPx312EfEEc3ZOJGZRJzIBMYvpnYIzW/lwpIcSZUQzHdxh20pakG97M5+O/7QWgyzWjyb52jMaJ2l7V2sMc/PdSut0+GXpF5lnPil5P8qDztY5ByOul5PXnCLpdWOPTyJ14dcTtxhRCdBxSMBRCiE5EVVW8B47hWv4FjVv3QKh5BachNo7YUROIGToKvVUmW4QQQojOSm+yYEvOhnwVV7aC31mH3hKl+cp6W/deoIIXn6Y5voui15N46xWU3f8I9TuLcB0sI7p3mtax2iVjtJWkCT2+9c9UVYWQ2rIjSQjR/umOFwyD/s63w3DzuwV89JfdAGRdOYKcG8ZqnKjtBRp9HH5sBf76Jkp2NhIXQcc0qqpKw7qt2EYMxFIWGWfguvftwltWgt5mp9vUm9CbLFpHEkJ0YFIwFEKITkANBGhYvwPnks/wF37ZdtSa043YUeOx9+6PopczXoQQQgjxJW95CcWvPIM5I4v0K2+IiNXs5gITzsAR3Gs2E3/9JRHXdtKYmkT8jZfTZYAeR88UreN0SIqigD6y/t2FEGens55huGtRCQv+tAuAjMuGkXvzhIh7XWsLeS+uxVvpxpAUT8zFU7SOc5LGDTupfuYdnIs/J+emeyJiniR68HDUUJDYQDJmR7zWcYQQHZwUDIUQogMLuhtwr9qIa/k6gnUu4Hjb0YHDiR01DnNKusYJhRBCCBGpLHlNBBsbaNi3m6qlC0mafpHWkQg2NVH+n2dRPV5MWak4pkRe2zbbqEFUAw4qtY4ihBDtQqDBC4DRon1xJlzyt9bw3u92oKqQfvFguv14YqcoFrqPVlL8wTYA4q+/BJ3JqHGiLwXdDdS89iEA0d0HRkSx8ITMhJFaRxBCdBJSMBRCiA7IX1KBc+laGtZtRfX5AdA7ookbPYGY4WPQW6M0TiiEEEKISGdP7UrO+LkcW/UqtetWYUxMIna4tgU6vdVK4uQZVC76gNq3PsHSrzvG1Mg8+wiaJ0Yb86pIPreP1lGEECIiBT1+fNUNAMR36RzXqWUHnLxy5yYC3hAJY7rS/fbJnaJYqKoqhx9bCSGVqOEDsPbvqXWkk9S+8TEhVwOm5FTiJ2i789FbWU7VsoWkXHQFcdV2TbMIIToXKRgKIUQHoaoqnj2HcC5di2fngZbPm9MyiBszEUf/wSgGedoXQgghxOmL7zYEr7OKkq2Lqfh4PuakFKzZXTXNFDtqPA0H9tB49BBVT79N6m9/HFG7AE44uNZH2Z9fRdHpsPdMJSozTutIQggRcTxl9QBYog1ExWh7Xm44VBc08OJtG/E4A0T3S6fPby/sNGeyVqzcT/3OInRmA3FXXaB1nJM07T5Ew9qtoCikXHyFpnMnIa+X0jdfxFdZTp1/AXGTrtEsixCi8+kcr0hCCNGBqf4ArtWbKP3dw1T86/nmYqGiYOvdn8wbb6fLj+8hevBwKRYKIYQQ4oykDp5KXO4gCAYpefNF/HW1muZRdDpSZs9FsVrwHS2k/uNVmuY5FWOXdMw9uxLyBTj476Wooc51NpcQQpyOppI6AOIzO/7uQlelhxdv3Yi7youtaxIDHpiN3hI5LTnbWsPR5lbd0RdOwZAQq22Yrwh5fdS89D7QvCjJmpWjWRZVVSn/8G18leUYo2LIHKV9O3ghROcis8dCCNFOhTxe3Ks24lzyGcFaJwCKxUTM4FHEjhqPKSFy23MJIYQQ4vQ1VBcRndZds/EVRSF7wpV46itpqimhatlC0i6fp1keAGNMHCkzL6PsvdeoX7AC68BemHMyNc30dYqiEH/jpZT9/j/U7yyi5KMdZFw8WOtYQggRUTwlzTsM47NsGidpW031fl68dSO1RY1Y0mIY8OClGOwWrWOFVddbzsHfaySmrDSto5ykfsEKApU1GGLiSJwyQ9MsdRs+x7VrG+h0dD13HkarQ9M8QojORwqGQgjRzgTdDbiWrcO1/AtCDY3A8fMJx0wkZtho9FarxgmFEEII0ZoOL32enuffjD1Vu1ageqOZ7ufdRP6BJSTNnK1Zjq9yDByKe/9u3Ht20PDZlogrGAIYk+KJmTOD2lc/5Ogza0gYlYslNUbrWEIIETGaSuuAjr3D0NcU5JU7NlF+yIUp3sbAv8/BnNA5z6Uzd83SOsI32CePwldQQsLgSejM2hVxmwryqFzyIQCZI2ZhT8nVLIuqqpRs/gSTI4Gk3qOJPubVLIsQIrykYCiEEO1EoNaJc/Ea3Ks2onp9ABjjE4kbP5nowSPQSctRIYQQokNSA14OLXmGblNvJDqjp2Y5TPY4egybi8uiaJbhqxRFIWXWHGzde2G+ZIjWcU7Jce5oGjfuxHswj4P/WcaAv12GokTG36EQQmitpSVpVscsGAb9Id68ZwsF22uxRBvo97fLsKbHah0rbFRVJe+FtaRO7095qIfWcb6VMSmerMt/rOlrc6DBTenbL0MwSFzuIJL7TdAsi6qqFG9aSPmuVYBCmi8DzNGa5RFChJecYSiEEBEu1NBE7buLKfn1P3Et+RzV68OcmkHaFdeRc/e9xA4fI8VCIYQQogOLi+tGKODj8NJnqSvYo3UcHPkqqqpSu2417v27Nc2ij7IRM2x0RBfgFJ2OhJsuQ2cyULsln6rPD2sdSQghIkZLS9IuHa9gGAqqvPfbHRz8rBKjRUfv/5uDvWvnOjqkYsU+Cl7fwNY7XiN0fOFzpAgcP9oF0Px9RKipEcVoxByTRPb4KzTLo6oqRRs+PF4shJ49LsRmS9YkixBCGzLDLIQQEcz92WZq3/ykpfWoJSuHhEnnEdW9t+ZvaIUQQggRHv36XMmBgx9QWbWXI8tfJHfS1cR31XZHnX/lFipXL0BnNpN1y08xJ6dqmsdcYKIpyUn9R58SM2syOmtknQtlTE0i5vIZxDmcJI7tpnUcIYSICGowhKe8Y55hGAqqvP2rbexeUorOoNDrD5cQ0z9D61hhFWjwcvTpNQDYp01EZzZpnOhL/rJKSn//CLZxQ0k9Z47mM+SmxGS63PYzrIdc6E3avIdpLhYuoGLPZwD06nExGRmjNMkihNCO7DAUQogI5VrxBdXPvUuooRFTUgrpV99E1s13YevRR4qFQgghRCei0xno1/cqUlIGgxri2KrXcJYc0jRTfNfB2FO7EfJ6KXnjBYIej6Z5AKr+8RrOT1ZT+85iraN8q+jzxhEcPQNFL5fhQggBUL+nBDUQwmjVE50cWQs9ztbyRw+we0kpeoNCn9/NImGkdufRaaXg9Q34ahowpCQSPV27Fptfp6oqNS8vQPUHCBXWo+j1mmUJBQItt2PLzZijEzXJoaoqxRs/+rJY2PMSKRYK0UnJlYoQQkQg1+qN1LyyAIC4cZPJvv0X2Hv3l0KhEEII0UnpdHr69p5DWtpwYjJ7Y0/RduJR0enpeu51GG2x+KsrKf/wbVRV1TRTwsSpALhXrsdz4KimWb5PyBegsaBa6xhCCKGp4vlbARh0YQY6fce51t2zrJQ1zx4BoMcvZ5A4PjLP7mtLnrJ6io7/+8bNnYlijJwmd42bduHZexgMBpJnaXeucLDBTd5//0bt2lXY84KaZDjBWbSf8t2rgePFwvSRmuYRQmhHCoZCCBFh3Gu3UPPi+wDEjZ1I4rQLNV3xJoQQQojIoCg6eve8hCG5V6HTaz/xZrTa6XrudaDT4d69nfpN6zTNE9W1B9HDmlfDV78wH9Xn1zTPqRzaqLL5lpfY9Zv5BD2RmVEIIdqap6ye6nXNu+XHXJOjbZhWVHHExXu/3QFA5pxhpEzpo3EibRx77nNUfxBzn65YB0fO30GoyUvt6wsBSJgwBVO8djv6yha8TaCuBtf69ahBbQuG0Zm9SRsyjR7dL5RioRCdnBQMhRAigjR8sZ3qZ98FVSV21HgSz79IdhUKIYQQooWi6NDpDMQc8TafNbNpIXX5uzXLY0/OJnP4hQBULvoAT0mRZlkAkqZdhN4RTaCsiroPV2ia5VT0CbH4POApc5L/2nqt4wghhCaKF2xDDUG30YmkdHdoHadVeFx+Xv/pFnyNQWIHZ9H1lnO0jqQJ5/4yKj7dDwrEz70gouY06hesIFjnxBiXQNz4ydrl2LKehv27Qa8nd9I16AxGzbIAKIpCn5hJZGWO1TSHEEJ7UjAUQogI4f5sM1VPvwWqSszwMSTNnB1Rb6yFEEIIEVma1q2nfOenHF35Ms7iA5rlSO5/DjFd+qGqKt5SbQuGequV5AsuBcD5yRp8+SWa5vk2OrOJ+GtmAVD0zmYa8qU1qRCicwk2+aha3LwLb+y8HG3DtJJQSOXd3+ygKq8Bc5KDPr+7sNOeWWvLSSDnhrHYJ4/GlJ2hdZwWvuJynMs+ByBp5mx0RpM2OaoqqFzUfARN5rCZRCVmapLDWXKQw8ueJ+j3EnPEq0kGIUTk6ZyvXEIIEWFcqzZQ/dy7LcXC5Au166MvhBBCiPYhJXkQSYn9UENBjix/EXf5MU1yKIpCzjlz6TXzdmKGjdYkw1c5+g7E3ncghELUvr1I6zjfKmpoP6yD+6AGQhx6ZLnm5z8KIUQ4lS3di8cVICHbRo8JyVrHaRWrnz7M/k/LMZh09Lv/IkyxUVpH0ozeYiT72jEkXHeJ1lFOEqyuQxdlxda7P/ZefTXJoAYClL77KqrfhyO9B8n9tdmF2lBZyJHlL1JfsIe61cs1ySCEiExSMBRCCI05l61tObMwdvQEkmfNQdHJ07MQQgghvptOp6df3yuJj+9JKODj0JJnaazSZoefwRyFPSW35WM1FNIkxwnJF1yKbcJwEm+7UtMc3yX+mlnozAbqdxZRvmyv1nGEECIs1JBK8ftbARh9dTY6XftfKHtgTQUrHz8IQLe7z8PRK1XjRNoIBYKowebX/7yiJI3TfJN1YC/SH/w5KbPmaJahauVivCVF6KxR5JxzFYoS/rkfT30lh5c+Q8jvJS62GznZk8KeQQgRuWRGWgghNFS/aA21r30EQNy4ySTNuER2FgohhBDitOl0Bgb0u5rYmBxCfg8HFz9FU22ZZnkc+SreijIKnvwPnuICzXIYHNFknHc1+mi7Zhm+jyEpnuhZUwE4+vRq/M4mjRMJIUTbq9mcR1NRLWa7gaGXZGkd56yVHXTy9q+2oaqQPmsQqdP7ax1JM0XvbmHr7a+yf2WD1lFOKaomFoMjWrPx9VE20OvJGXsFJltM2Mf3NdRzaPFTBDwNOOwZDOh/LTqdIew5hBCRSwqGQgihkboPV1D31icAxE88j8RpF0qxUAghhBA/mF5vYuCA63A4Mgl6Gzm05GmCfu3OonEtWo63rJiSt14m2KRtEcxc0Hw+kWffEc13PX6b6OnjMaYn4+iZSsgX1DqOEEK0ueL5zbsLh12ahdnWvgsV9WVNvPyTTXjdAWIGZtLt9slaR9KMr7aBgtc34D5SSaCyRus4J6n/6FMaNu7ElG/UOgrx4yczYM59xOUMCPvYQV8Th5Y8jc9di9WawKCB12MwmMOeQwgR2aRgKIQQGqj7YDn185cBkHDuDBKnzJBioRBCCCHOmMFgYfDAG7Db08kccSF6o3YTQFljLsXkiCdQV0P5grc0P5+v6pm3Kf/7MzR8vkXTHN9GMRhI+c1t9H9gNubEyN0NKYQQraF6/VFqN+ehKDD6qhyt45wVVVV5597tOMs9RGUn0O9PF6Mz6rWOpZn8V9cTbPRhys3ENmaw1nFa+IrLqXt/GVX/e13TzgdqsHlRkCNfxWSP0yRD3po38dSWYTI5GDzwJkwmed8hhPgmKRgKIUQYqapK3XtLqf+g+VDpxGkXkjDpPI1TCSGEEKIjMBqjGD70J+TST9McBrOVrpOvA70e996dOLdv1jSP1ZYBQO07iwm6GzXN8m30dhv5xclaxxBCiDblPlrJwb9+CMDIK7OJz4rSONHZ2beinLzNNRjMOvr/+RKMDovWkTTjKXdS+vFOAOKumIGii4zpZlVVqX19IYRC2PsMwJqZrUkO154d5D/xEJ4Sbc6ZPiF10BTM0YkMGnAdVqs2RUshROSLjGdwIYToBFRVpfaNhdR/tBKAxGmziB9/rsaphBBCCNGR6HRf7m7wNdRTvPkTVDX8rThtSVlkDDkfgMpP5uOv1a49WdyYczAlpxJyNVA3f6lmOb6Pr7aBg/9ZRuVnh7SOIoQQrcpTVs+u++bjawySOyKemb/uq3WksxLwh1j80D4A0ueMxJoeq20gjeW/+gVqIISlb3csfbppHadF044DePYcAoOexPNnaZIh2OCmYuF7+CrK8H2xU5MMJ9iSujBm8E9xODI0zSGEiGxSMBRCiDBQQyFqXnwf19K1ACRfcCnx4zvv+QZCCCGEaFuOQw0c/OR/lO1YQfHGhZpkSBkwGVtKDiGvl7L5r2t2hqCi15N8waUAuD/dgPeYtiv8T2Xv64cp/XgnR59aTcgX0DqOEEK0Cl9tIzt//R6+ajfJ3e1c9fAw9Mb2PR254Y08agobMcZFkXXlCK3jaKqpuJayJXsAiL00cronqYEgtW99DEDc6HMwxSdqkqNi0QcEG9xYYlNIGxL+vx9X2VEaKgsBiDniPWlhmRBCfJv2/QothBDtgBoIUvX027hXbwRFIWX2XGJHjdc6lhBCCCE6MJ3OQLeM5k4G5btXU7F3bdgzKDoduedcjWIyg6oS8jSFPcMJUbndcQwcCqpKzcsfaFa8/C7R089BHxuNp6yeovlbtY4jhBBnLdDgZddv3qOpuJbYdCs3PDWKqBiT1rHOSmO9j1VPHgYg98ZxGKLa9+M5W2VL9kBIxTqoN+bu2rT8/DbuVRsJlFait9mJP2eqNhn278G1cysoCjkTrkSnN4R1fK+ziiPLX+DAx4+jbj0Y1rGFEO2XFAyFEKINqf4Alf97jcb120GvI+3yecQMGal1LCGEEEJ0Aqkpg+ma27yavXD9+9QX7A17BnN0Ar0vuJPMm+5AH2UL+/hflXT+RShWM75jRbjXbNI0y7fRmU3EXj4dgILXN+CrbdA4kRBCnLmQL8DuPyzAfagCW7yJG54ZRXRK+z/n79MnDtHk9GPLTST1/P5ax9Fczg3j6PuHWcTOOV/rKC1CHi91HywDIOHc6egt1rBnCDY1Uf7ROwCk9J+ILTm8xdSgr4nDy54n6G3EHpWCw54e1vGFEO2XFAyFEKKNhLw+Kh55iaate8FgIH3ujTj6D9Y6lhBCCCE6kewuk0hLHQaqytFPX6GxKvztOKPi04kuVFo+VlU17BkADI5oEifNQJ8YhyE+VpMM38c2ZjCm3EyCjT7yXgj/rlAhhGgNajDEvr9+TP2OQsw2A9c/OZLEbG0XjbSGqjw3G97MB6Dbjyeh6GVaVdEpNHQdhykrTesoLXQWM4k/uQp7/8HEDB2lSYbKJR8SdDkxRyeSPnR6WMdWQyGOfvoqnrpyzKZoBva/Fr3eGNYMQoj2S17ZhBCiDYSaPFT8+wU8uw+hmIxkXnMz9l79tI4lhBBCiE5GURR69byEuLjuhAI+Di97Dp+7VpMsIb+Pik/ep2qpNmcqAsSOHEfuj3+NdWAvzTJ8F0WnI+7qCwEoXbQL9+EKjRMJIcQPo6oqBx9eRtXnh9EbdVzz6DDS+8ZoHatVLPn3fkIBlfiRucQNi5z2m1rwVrkINvm0jnFK1n49SL/iOhR9+M/sCwUC+Gurv2xFaghvsa5o00KcRftR9EYGDJiH2Rwd1vGFEO2bFAyFEKKVBetclD34FN4Dx1CsZjLn/Ziobj21jiWEEEKITkqn0zOg39XYbCnoTVGa7fBj4xHq1n9G7bpVNB47rEkERa9HZ/ryvCnN/i6+g6VHDlEjB4IKea98oXUcIYT4QY499zlli3aj6ODKfw6h68hErSO1iqMbq9i3shydXqHrbRO1jqO5g/9ZzoZ5z7Lv42qto5wk1OgBwFyg3dmSOoOBzOt/TK+Zt2NP7RrWsWuObKVi92oA+vWaQ7QjI6zjCyHaPykYCiFEK/JX1lD21yfxF5Sii7aTdf0dWLNztY4lhBBCiE7OYLAweOANjOh3C2ZHvCYZYjJ7k9hzFKgqZfPfIOjxaJIDwJRnwLVyPRX/eg41FNIsx6nEXTGDjEuH0uvn07SOIoQQpyXkC3D4f59S+OZGAC7+wwD6Tk3VOFXrUFWVRf/cB0DqBQOxZSdonEhb9XtLqNlwFL/TgyElcgrCnoN5FN3zIPUfr9I6CtGFStiLhQC1ebuA5pb0yckDwj6+EKL9k4KhEEK0El9xOeUPPEmgohpjXDxdbrwLS3qm1rGEEEIIIQAwm2MwGq0tH/sa6sKeIXPURZgc8QTqa6la+lHYxz8h2NRI7TuL8ew5TMO6bZrlOBVDYhyGi67AGG39/jsLIYTGGvKr2XbX6xTP3wrA+ff0ZvicLhqnaj2l+52U7nNitOjIvm6s1nE0V/D6BgDs44dhTI2MgqGqqtS9uxjV40U9WqdJhqbCfCo+eV/TBVFdJ8+jT6/L6Jo7VbMMQoj2TQqGQgjRCrx5RZQ/+BTBOiempBSyfnQXpoQkrWMJIYQQQnxD9GEPZTtXsvvtv+IsORjWsfUmCznjrwSgfvMXNOYdCev4JxhsdhImnAdA3btLCHkj9xwmgIBbu8lHIYQ4FVVVKflwO9tvfxn3kUqi4kxc+9hwJtzUTetorWr34lIAYkZ2xxQbpXEabbmPVlKz/ijoFKJnTtI6TgvProN4D+ahGA3ETw7/7nw1GKTio3eoW/8Zrg8WhX38E2KP+UlLG4aiyJS/EOLMyLOHEEKcJc+BY5T//RlC7kbM6Vlk3XQHhuiOcai7EEIIITqmYGEpaijIsU9fxeeuDevYjvTuJPYaDUD5grcJ+f1hHf+E2NETMMbFE6xz4ly8RpMM3+fQVh07fvE223/2Fmoo8s5bFEJ0Xr66Rvb84QMO/XcFAW+IHuOSuOv9CfSelKJ1tFalqiq7ljQXDJMn9tQ4jfZOtJyNGj4gcnYXhkLUvrsYgNiR4zFGx4Y9Q92Gz/GWlaCzRpE6OLy7+6oObiD/s7cJBbR5PyWE6FikYCiEEGehaecBKh56HrXJizWnG5k3/AS9za51LCGEEEKIU1IUhV49LsZhTyfgaeDIipfCPsmUMeJCjFHRBBtc+CpKwzr2CTqDgcTzLgTA+ckaAnVOTXJ8F53NiutgOQ3Hqqj6LLy7QYUQ4lRqNuex5daXqf7iKHqjjpm/7su8J0bgSLRoHa3Vlex1UlvUiNGqJ35k+M+kiyRNJXVUrDoAQMwFEzVO86XGzbvxF5SiWMzEjz837OMHnPVUf9pcsMwcegFGa/jmhJpqSilYN5+qgxto/OKLsI0rhOi4pGAohBBnqHHLbioeeRnV58fWsy8Z825Bb+l4F0hCCCGE6Hj0eiP9+12D3hxFY1UhhV+8H9bxDWYrXc+9jpw7f40lQ7tzruz9BmHJzEb1+qifv0yzHKeit0Vhn3YOAHkvf4EaDGmcSAjRmflqG9n/90Xsuvc9fDUNJHez85M3xzF2Xi46naJ1vDaxe0kJALEju6G3GjVOo63aLfkQUrH074kpO0PrOEBzK9C6+UsBiB8zSZMF3JVLPiTk9WJL6kJir5FhGzfo93J05cuowQDxcT1ITxsRtrGFEB2XFAyFEOIMNKzfQeXjr0MwiL3/YNLn3oDOaNI6lhBCCCHEabNa4+jf60pAoergBqoOrA/r+PaUXOJqo8M65tcpikLS9IsAcK/dQqC2XtM83yZ62ngMDguN+dUtOzuEECKc1JBKycKdbP/Rs5Qv24uiwOirc/jJW+NJ7aXt83hb+mo70qSJvTROo730WYMY/twNxM2dqXWUFt6jhQQqa9BH2YgbG/5dj41HD+HatQ0UhS5jLwvb2YGqqlKw9l089RWYTdH07XO5nFsohGgVBq0DCCFEe+P+fAvVz70Lqkr04OGkXDIXRSdvzIQQQgjR/iTE96Br7nkcPbaUgnXzcaR1xxwd/jOJ3Af3EmxwEzMkfCvzT7B2ySVhygxM53THEBd551DroizYp02k7r0l5L/yBcmTeqHo5b2nECI83EcqOPTIcpx7mwtnab2juegP/ckaGKdxsrZXvLueuuImTFY98SNztY4TESr1vTFlap3iS5YeOaQ/+HOUnXXozOHv+FS1/BMAknqPJSoxfH8x1Qc3UHNkKyg6+vWdi8kkR+MIIVqHFAyFEOIHcH26gZqXmlt2xQwbTfKsOVIsFEIIIUS7lt3lHNzuUiw9emJyJIR9fHXdAUoWP4tiMhGV0x1jXHzYMyRMPA9vF1/Yxz1djqljcS75jKaiWspX7CN1Wj+tIwkhOrhAo4/8l9dR8v5WQkEVU5SeqXf1YtRV2egNneMaePfx3YUxo7ujt3TedqSBBi8BtxdLSmTuJrV70qBnmiZjp191I86PlpA+bEbYxvTUlVPwxQcAdM05j9jYnLCNLYTo+DrHK7wQQrQC18r1LcXC2FHjSb7ocikWCiGEEKLdU46vTu9uGoaihP8MKkd6d+wpXVF9Pso/ehdVVcOeAcBc0Nxe3l9RjRqKrLMCdVYz0TObW61VrNincRohREcW8gcpW7ybTTe9QNG7WwgFVfpNS+X/fTSJsfNyO02xUFVVdi893o70nM7djrTkw+1smPcs2x/drnWUFiGvD19hmdYxMDiiyR43B4PZGrYxfY316AxG4uK6k91lQtjGFUJ0DrLDUAghTkOgzknN6wsBiBs3mcRpF2oyoSaEEEII0Ra++r4m6PPQUFVAdHrPMI2tI3v85ez94F80Ht6Pe+9OHP0GhWXsr6t7fxn1Cz8l4UeXYx87RJMMp+KYMgZ9tJ1+l0dQLzghRIcR9PgpXbSLorc34610ARCXaWXWb/vTc0KyxunCr7a4ibqSJgwmHfEjc7SOo5lQIEjxB9shpGJIDn8HgFNxr9pA7ZufEDd2Eknnzwr7+N7yUswpaTjyw7/IKTq9J31n/4LofL+cWyiEaHVSMBRCiNPgXLQGAgEsWTlSLBRCCCFEh2XeU8Hm3c/gb3LR55KfYY1NCcu4lthkUgeeS+m2ZVQuWoCte290ZnNYxv4qY4MZgiHqFyzHNmogil4f9gynojObsI8fhqKv1DqKEKID8bs8lCzYTvH7W/HXNwHgSDIz7rpcRl2Vg9ESOc+D4eSq8ABgSHCgN3fedqTV647gq3aji7ZjG6XNYp6vU/0BnIs+A1XFmBD+c5ebCo5R+Oyj2PsMoOfo68LWeUpV1Za5qKQyC2hwZqMQouOTZQhCCPE9gk437k83AJAw6TwpFgohhBAirBoaK8I2ltnswGaMRw36Ofbpq4SCgbCNnTpwCiZ7PAFnHdWrl4Vt3K+KHTUBvc1OoLyahnXbNMlwOtRgqGViXwghzkRTaT1HnlrFlmufIu/Ftfjrm4jLjOKiP/TnnsWTGX9jt05bLARwVXkBMMXbNE6irZKPdgBgnzgCxRAZ+07ca7cQrHNiiI4hevCIsI6thkJULloAgDloDVuxMBTwceDjx6jN20XMEW9YxhRCdE5SMBRCiO/hXPwZqs+POT2LqO69tY4jhBBCiE5m1+438HpdYRlLUXT07T0HvTmKppoSSrYsCsu4ADqDkawxlwBQ+8Vq/HW1YRu7JYPZTNz4cwGoW7ACNRC+gunp2vdJDRuufZbDj63UOooQop1RVZXabQXs/sMHbLruWYre2YK3IUBKDweX/30w/2/hREZekY3R3HkLhSe4Kpt3GHbmgmFDfjV12wpAp+CYNErrOACowSDOj1cDzcfF6MJcxHTt2oqnuACd2UzGsBlhG7do08c0lOdR/Nl8gkFf2MYNhYJhG0sIERmkYCiEEN8h6G7AtfILQHYXCiGEEEIbPl89O3e9HLYJIrM5mr49LgWgfNcqnMUHwzIuQExWXxJ7jyH9iusxxMSGbdyvih0xFr3dQbCqFvfnWzTJ8F30MXa8lS4q1xzEWxWeQrIQon0LNvkpWbiDzbe8xM5fvkP1uiOoKnQbk8i1jw3njvcmMOiCDPQGmSY8wS07DCn5cDsA1kF9MCTEaprlhIYNOwlU1qCPshEzLLxFzJDPR9WyjwFIGzAVY1R0WMZ1lhyicu/nAPTufSl6vSks45aUbmHL1ifxeusxHSwJy5hCCO3JOwEhhPgOzsWfoXp8mFMzsPXqp3UcIYQQQnRCBoMVl7uYPXvfRFVDYRkzKbEv6WkjAchb8wYBT0NYxlUUhexxc7D36a/ZQi2dyUT8OVMAqP9wJao/snYZmrIzMPfKRQ2GKPlwh9ZxhBARzH20ksP/+5T1Vz3FoYeX05hXjcmqZ9TcbO5ecA43PjOK3pNS0OlkYezXuSo7d8FQDYao+uwQAI4pYzRO00wNhXAu/BSA2DET0ZnCe9Zx7RerCTjrMdnjSO43ISxjBn1N5K95C4D0tJEkxPcMy7i1dUc5cPADXO5iKnetDsuYQojIIAVDIYQ4haCrAdfydQAkTD5fdhcKIYQQQhODHFPRKQaqqvdz6PBCVFUNy7g9us8kypqIv9FJ0aaFYRnzBEd+82MMNjYQ0qAtaMywMRiiYwg1NuEriLxV9dHnjQOgZOEOgl6/xmmEEJHE7/JQvGA7W25/lS23vkzx/K0E3F7iMqOY8as+/HLFFGb9rj/J3RxaR41o7urOXTBU9DpGPH8D8TdeiqVvN63jABCoqCHodKNYzcSOGhfesV1Oaj5rbgWeMfwCdAZjWMYt3PAhvoZaLJZ4uncLTwvUxqZqdu1+DVUNkmrpRq5tSFjGFUJEhsg4rVYIISJQy+7CtAxsvWV3oRBCCCG0EWdMYWDMFLbXLaGoeD1WSwJZWW0/UabXm+jXdy6HqteQMfyCNh/v63zLN1Gw6QPix59L/IQpYR1bZzSSdsX1qINi0Dsib7LYOrQv+oRYAtV1VKzYR9rMgVpHEkJoSA2GqNteSNni3dSsPUjA17wbXW9Q6D05haGzs+gxLgmdXhbBnq7OvsMQwGC34Jg4UusYLYypiWQ8dC9srERvsYZ1bH99LfqoKEwxKcR1HRyWMesK9lJ9cCOg0Lf3ZRgMbb+j0u9vYueulwkEmogxJjMgZkrz4vnwrFUTQkQAKRgKIcS3kN2FQgghhIgkqZZu9HKM4YDrC2rqjpCZOQZFafuGMQ5HOkMdc6m3hrft1wmhpiaqVy8jetBwDNExYR3b2iUHasHrCM/ZkT+EotMRPXUstW99QvH8baTOGCDvV8NMVVV8NQ2EvAHUQJBQIITqDxIKNv8OYIyxYoyNwuiwoOilwZNoXWpIxXWwjMpVB6j49AC+anfLn6X0cDDs0iwGXZiBLS485511NK5OfIZh0ONHbwnPDrofSmc2Yc7ODfu41sxscu66F8sBZ9heb93lRwHIyhxHbGzbP+ZQKMievW/S2FiJRWdjSOwM9IqUDoTobOR/vRBCfAvnojWo3uO7C+XsQiGEEEJEgJyowVh0duL6nROWYuFXxRzxUt/NjKv0CPbUrmGZLIvvPpTKfetoqMynavnHpF56dZuPeSrew/mYsjNQjJFzCW0/ZwT1C5bRkFeFc08JMf0ztI7UoQW9ftwHy6nfW4JzbynOPSX46xpP74t1CsZoK6a4KIyxUZgSbFjTY7FmxGHNiCMqMxaD3dK2D0B0CCFfgNptBVR/cYTqL46eVCS0RBsYNDODobOzSO8bLYsIzoKqqjTUHC8YxnW+guGBfy7GU+bEdvlszN21TtPMezgfU7cuWAq1WcAEEFNiAEd82MbLHHEhaUpXYqK7hGW8Y3nLqak9hE5nZGjcTCz6zvezL4SQgqEQQnxDsN71ld2F0+VCSwghhBARQVEU0qw94GApvt6ZAASDfvT68OwCOLb6DWoObyZ7whUk9hzV5uMpio6sMZew/8NHcO7YQtzYiZhTw18Uq/7nG7j37CDhR3OwTxge9vFPRWezEn/9ZWQN0OHolap1nA7JV9tA4Tubqd9ZROPhcoKBk3uyKTowWvTojbrmXwal5baqqjTW+mis80NIxV/X+J0FRmOMFWtGLFFZ8UTlJmLLaf5lSrDJ9UgnpqoqTcV11G7Oo2ZTHnU7Cgh5vjzX1RSlp9c5yQy8IIMe4xIxmPQapu1YFEVBRaWz9WIMuL1Uf3GUkC+AzRAZP0++/GLK/vIExqw0cm66B0UfvlyekkK8pcVEDx4BhH+neHxc+M6PTE8bQXXNQXoYBhFtTArbuEKIyCIFQyGE+Jr6j1eh+vxYMrpg69VX6zhCCCGEEN9g2JfPbt1WGpuqGDzwJnS6tp88iw8lUQMUbfiImMw+GKOi23xMW1IX4nIHUXtsB5VLPybzulvbfMyvs2Rk4d6zA+eiNdjGDUXRRU5rSduYwURnVmodo8NRQypli3ZR8NyneJxfFmfsCWa6DImjy6BYugyOI61vDEbzd//fCwZCNNb5cFf5aKjx4q7xUV/WRHV+A9UFjVTnN+Cu8uKvb8Jf34Rzb+lJX29wWLDlJDQXEHMTsXVLwpabhCFK2kx2VIEGL3XbC6jZlE/t5jw8ZfUn/Xl0ioXek5Lpc24quSPipUjYBhRFwWjV43UHCH6lQNsZVH1+iJAvgCEtCVN2ZOxcdy75HABLbGpYi4UAVUs/pvHoQThaSfTIC9t8PDUUpGjjQlL6n0NSeVSbj/dVVms8Y20XowtzFwshRGSRgqEQQnxFoKYe18oNACRMmSGreYUQQggRkZqCLsqrdhAM+jh6bCndu81o8zEzM8dSXrETl7uYgi/ep9uU69t8TICM4TOpLdhN4+H9NBw5iK1bz7CMe0LM8DFUr1mGv6SCpp0HiRrcO6zjf5+8oiRyMitRVVXeu7aChrwqDv5nGc49JQCk9Ylm3HW5dBkST1yG9Qf/HesNOhyJFhyJp2456m0IUF3QQHV+A5VH3ZQfdlFxyEVVfgMBl4f6XcXU7yo+6WssqTHYuiVh75qILTcJe7ckLGmxKDr5GWhv/M4m6ncXU7+riPodRbgPl6OGvvxzvUGhy9B4eoxLose4RFJ7SbvRcDBamguGIY9f6yhhVb5iHwD2MUMi4ucsUOekYcNOAGLHnBPWsRuPHW4uFur1JPUZG5Yxy/esoWLPGuryd5Ew9J42XxAWDPpwuoqIi+2KaX9R89Z5IUSnJgVDIYT4ivqFn0IggDW7K1FhnowSQgghhDhdNkMsAxyT2V63hILCz4h2ZJKcPKBNx9Tp9PTufSmbtjxOXd5OavN2EZfTtmMCmKMTSe41lop9n+MtLgh7wVBvsRI7bAy1a1fhXLQ64gqGgeo6Dry1FF9NAwMemK11nHYr6PWT/+p6it/ZRCigYrLqmXJXT0ZfnYPe0LYTqGabgfQ+MaT3iTnp835vkKpjDZQfdlF+yEX5QSdlB104yz14yurxlNVTvfZwy/11FsPxnYjHC4ldk7DlJmKMtrZpfnH6VFXFU+bEtb/0eJGwmMZjlahf63qZ0CWKHuOT6D42idyRCZijZPou3EzW5kJN0Nt5CobeKhd12wsAiBozWNswx7lXrIdgEEtWDtbM7LCNq6oq1SsWAZDUcxTmMJxd6HXVULp1KQBdM84NS/eIA4c+pKxsG70cY8i1DW7z8YQQkU/ecQghxHGByhrcqzcBsrtQCCGEEJEv1dKNnKjB5DVuZ9+B97DZUrDZktt0TIc9jeysc8gvWEXBuvdwpHXDYG77lllpQ6ZinTwac0pam4/1bWJHn0Pt+s/wHjiG92gh5q5ZmuT4VjqFsiW7IaTSVFyLNSNO60TtTs2WPA49vBxPaXPrxz7npnDBff2ITdO20GY060nrHU1a75Pb/zbW+Sg76KTsgKvl94ojLgKeAK79Zbj2l510f1OCjajs421NsxOaz0jskoDBbg7nw+mUfHWNuA40/5u4DjT/8tc3feN+Sbk2socnkDMsnpxh8Zr/7InmHYYAwU60w7Di0wOggrlHNsakti+QfZ+Qz49rVXMHqLixE8M6duPh/TQVHEMxGEgdNDUsYxau/4BQwEdMTA5pqUPafLyS0i2UlW0FFKINcmahEKKZFAyFEOK4ug9XQjBIVNeeROWE72BpIYQQQogz1dMxGmegghpfCbv2vMbwobdjMLRtESAnezKVlbtpbKqiaONH5Ey4sk3HAzBY7CR67LjafKRvZ4yJJXrAUJzbN+H8ZA1Jd16jUZJvMsTFYOnXA8+ug5Qt3UvujeO0jtSuVK09zN77F6CqzWfDXfibfvSdkqp1rO8UFWui68hEuo5MbPlcKKhSXdBA+cHjRcTjv9cVN+GrbsBX3UDd1oKTvo85yY41M56orLjm3zPjsGbFY0n+/+3deXgUZb4v8G/1nu500tnDloWEhD1hU0BZRFlEcRt1GHGFwzBHOeowzvXM6Ixe1+N4uD5ed0f04IY6F0FwFBUIsu/7HiAJEEL2dNJJ7133j5ieoGTv6urq/n6eJ0+q4e36/fJWv0n/+q16ywxBzWXpusLn9qLpXA0ai6rQeKay+XtRJZyVtl+0VWsEpA6MQb/hFmSMTkDGyHhEJ3LyNtTojM0Thr4IuodhxU/LkZrGST9Z1RmN2/bB19AIjSUO0QOHBi2uKIqo+unqwuSBV0Fniu3gGT1XV3IY1rNHAEGF3JybIUi8NKjNVoaThV8BAAZEX4EEfWjcr5KI5McJQyIiAO6LVWjcshcAkHDtDJmzISIiIuoclaBCXuw0bK3+B5qaKnH8xHIMHXKXpDHVai0G5t6Gw6f+H+Iyhksa6+fMJSKqTZVw11bDNGBQUGPHXTUZ9ft3wXX2AnxOF1R6XVDjtyf66lFwHDqJ8u+PIOO+8byPXSc1Fleh8KWvIYpA3o19cNNfhkJvUubHJCq1gKTMaCRlRmPo9H9diets9KDidAMqTtlQcbp5adOK0zbUlzvgrLTBWWlD3b5LJxIFrRpRfSyI6mWBoVcsonrFwvDTtiE1Bmq9Ntg/XkgQRRHuuibYz9fCXlqHptLa5u1ztWg6VwPR67vs85IyTegzzIK+Qy3oO8yC1FwzNDrplxqknom0KwxFUUTaXVeifN0xRI2RfrnxznAcKgQAWK6cAEEdvDFjO3YIzgvnIej0SBk+RfJ4XrcTZ7etAACk95uAaFOKpPE8HicOH1kGn8+DRF0a+ptGShqPiJRFme+EiYgCrG7lWsDngylnMKL6ZcidDhEREVGn6dVGjLBMx96G79ErdVRQYlosGRg/8vdo6Cf9cqStNZSdQvGad6COMiLz0Seg0gfvqhx9Si/0feBBqK7uE9QPLjvDOGIwVEYDnJUNqNt3FnGjgnefJ6Vy19tx+K9fwdXkReYVCbjt2eFQa8Pvqjq9SYN+w+PQb/ilS9Xa692oPGNDVbENVUWNzd+LG1F9tgletxdNxdVoKq6+7D518SboE6OhSzJDnxgNfbIZ+kQz9Elm6OJN0FmMUJt0irvFg+j1wVllg7Oyofmrovm7o7IBzop62Evr4G1ytfl8fbQGKQPMSM0xI2VADFJyzEgdYIbBHJkTrErXcg9DX4Tcw1AQBCRNzEFj/9C5Sj3xobvgOHoKZm3/oMbVxloQlZmN2NgMaKOiJY9XcXgj3I11MBjikJF+jaSxRFHE8RNfosleBYPKhOGWaxX3u5qIpMUJQyKKeM7TZ9G0fT8AXl1IREREymTRpWJS/F3wJmQELaZKpUbsaSesWXr4vB6o1NKXl9EpmdCb4uBsqEbtto1ImDxV8pitGTOz4VS3PWEgF0GnhXFsPmzrt+Pi90c4YdgB0evD0ee+huNCHSx9ojB78ciwnCxsT1SMFmn5cUjLv3Qi0ecVUXfBjqoSG2rP21F7vgk155v83502D1w1jXDVNAIny9vcv6BVQxsTBa0lCtrY5i+NyQCNSQe1SQ+NSQeNUQ/1T99Veg1UOjVUOs1PXz9ta9WAIABC84RG621RFCF6fBA9Xvhavru9ED0++JweeO0ueOwueJvc8NpdzV9NLnhsTrit9uavert/22NzAGL7/SYIQGyvKCSkmZCQbkRCugmJ6Sak5MQgNtXAD97DyL+uMIycJUlDjSAIsJiHBD2uoU8a+j3wIKKLgnPsU4ZNgs/jQorYD2q1tKsX1NSeQkXlIQiCCnmWadCpeL9UIroUJwyJKKKJPh9qPlkNAIgZMQaGXn1lzoiIiIioe9SCBurj5+Ea2BcOhxVqtRZarbRXAIqiDxVHN6Ns/1rk3vAQDLFJksYTVGr0HjUDRRs+Qe22DbCMnQC1wSBpzJ/Tn9XB0dsOT1UNtKnS/rxdYRo3Arb121G97TR8Hi9UmtC6CjKUnH7nR9TtPQttlBp3/9/RMMWFzvKyclOpBcT3MyL+MlcPi6IIu9WNujI76ssdsF60w3rR4d+uL3egocoJV5MXotsLV7UNrupf3sMvlKk1AswpBsSmRiE29dLvCWlGxPU1Qqvn2IoERkvz7wV3XZPMmUiv6Ww1qracQsL4bEAt/981n90BQa2GoJPv6lxziQiogjPWVRodBsdfF5RY8XHZGDTwdqC0HHG6Xh0/gYgiDicMiSiiNW7bB9eZcxAMOiRed4Pc6RARERH1mPXAFhxoWI84S38MHXKXxFe8CGg8cQQeewPO71iF7GnzJIzVLC4zHxf2fQ+ntRLWnVsQP/FayWO25igrRen/eRfQaNDnb3+EoAqNK9P0Wf2gz81E8sgk+JweThi2oezbQyj9svne5be/kIfU3BiZM1IOQRBgtOhgtOjQe1Bsm+1cdi8aa51oqnX/9N2FxloXHA0eOBs9cDS44bR54LB54LR54LS54Xb54HH64HF5m787L38/wI6oNQJUWhW0ehV0Jg30Rg30Jg10RnXzd5MGUTFaGC06mOJ0MFq0MMa1bOtgjNNBxXuAEgBL7+YrrxwXrTJnIr2KH0+iZOlWXNxbg+RHBsqdDurXbELD2q1IvGYm9FcEb4nUxtMn0XT6JOLGTwIg/VKkrkYrtEYzBCF47yMEQUB6XTJgSg5aTCJSFk4YElHE8tmdqPtiDQAgYcI0aMz8sICIiIiUT6eKgtfrRGXVEZRd3IvevaS7r6EgCBiQfQN27DoF67mjsJ47hth+gySLBwCCSoVe+VNR/OOnqN26AZaxV0OlC969DHUJSRAdHvgcDXAcOomoPPk/XAWa+yX1TwuQ0bdS7lRClvVIKU6/+gMAYMqDAzBkKq+ukIIuSg1dlBFxvbu/D1EU4XX74HH5ABEQfYAIEaIPgPjTdwFQa1VQawSotSqoNAKXBKWAievTfJWto7xe5kykV7PtNAAgKl/av9+dIfp8sG3aDV+jHaqo4N4nuWbD97CXnIHO6kPcFbMkjSX6vDj57VtQaw0Y3v9OwJggabzKyiOwWDIlX3mCiJQvNE6FJCKSgfXrAnitDdDGJ8IybqLc6RAREREFRKw2GdmmMQCAwlOr0WSvljSeyZiEtL7NVwCc274SPq/09/yJ758PvTkB3qZG1O3aJnm81lQ6HWJGNPdvw/rtQY1N3eeoqMeRp1fB6xExZGoqJv9ugNwpUTsEQYBGp4YhWguDWYuoWC2Msc1XApri9YhO1CM6QY+oGC10Rg3UWhUnCymg/nWFYXhPGDqrbWj46X6kxhA4AcZxuBDeGitUUUZEDxwatLj2kjOwl5yBoFYjeYj0nw9VHtsKp7USbmsNdDqTpLHqG0px+Ogy7Nj1KnxHTkgai4iUjxOGRBSR3BXVqP9uEwAgacbNUGl4wTURERGFj/6mEYjT9obX68LRY1/A5/NKGi8j/RrotNFw1leh4sgmSWMBzfcyTM2/DqqoKAjq4C+9aRkzHgBgP3gCnsqaoMdvj9fhRvX203BWNcidSsgQvT4c/d+r4a5tQmqOGbc9n8dlJ4moXXF9micMXdU2+FzSnwgjl5rtZwAAuv79oLaYZc4GsP24EwAQkzcKKm3w7mFYs3EdACAhewx0praXXA4Ej7MJF/Z+BwDonzkVGo1092L2et04duwfEEUf4oRk6FW8wpCI2scJQyKKSLXL/gl4vDBm5cKUO1judIiIiIgCShBUGG65Fhq1AfX151BydoOk8TQaA7KyZgAAyvb/AHeT9FdkJGSPwvDbn0Tc2AmSx/o5XWIyjP0HAKKIhp8+3AwVu/+0BoefXInKDSflTiVkVKw/joYTF2GI0WDOa6OhN/JkQSJqnzFOB11U8wkpjorwPQGj6qflSI0j5P9cxGttQNP+YwCA2FFjgxbXebEUjYXHAEFAyvBrJI9Xtu8HeF12mEwp6JUq3bLxAHCm6Ac0NlVAp4rCkNiJvBKbiDrECUMiijj2w4Ww7zsKqFRIuv5mvmEiIiKisBSlNmNw9NUAgOLiAtTXn5M0XmpKPmLM/eDzuFBfKv1klaBSQ62T7qz8jsT+dJWhbeNuiJ7QufokamgOAKB6xxmZMwkNPrcXxUu3AgAmzsv235eMiKg9giDA8tNVho5yq8zZSMNrd6Nu71kAQNQI+e9faNuyF/D6YOibDn1K8O4xW7NpPQAgLiMPhphESWM5rJWoOLoZADAgayZUKulWSaitK8K581sAAENjroFOFSVZLCIKH5wwJKKIInq9qP10NQDAcsVV0CenypwRERERkXR6R+Wgl2EAeve+AiZTiqSxBEGFgbm3YtDNv0fCgNGSxmotutgH24mjaDh6MGgxASB64FCozTHw1dvgOHo6qLHbE5XffA8q68Hz8NicMmcjv4vfHoLjohXRCXqM/U263OkQkYLE9W4+wcAZpvcxbCypAlQCNEnx0PaR9j1CR0RRhG3jLgBA7KgrgxbXVV2JhsP7AQCpeVMkj3d+52pA9CEhPhfx8dLdS9fjceLY8f8HQESfqIFINmRIFouIwgvX4SCiiNKwfjvcFyqgijYi4ZrpcqdDREREJLnhsddC8KngUuskjxUdnYroOsCaIHkov5rTe3Hhx0+hibUgOmcwhCDdm1pQq5Fy0x0Qc0zQpfcOSszO0KYkQpOaBM/FStTuKUbSpFy5U5KN1+lGySfbAQCTF2RDx6VIiagL/nWFYXhOGMYM7IWrvnwQp/erZV95SRAEJD96H2yb98A8ND9ocVVaHWLHjIdQUQ9jQh9JY3ndTribrICgQnbW9ZLGKi5ZD4ejFgaVGYPMV0sai4jCC68wJKKI4W1ohHXFDwCAxMnXQx3F5YiIiIgo/AnCv8o+UfTBbq8JSlxHXTkaLpySPE5cxnBojTHwWOtQf2iv5PFai84dElKThS2i8ponCWt2FcubiMwufLUfrupGWHpHYfTt/eROh4gUpmUJY/v5WpkzkY5Kp4G2d7LcaQAAtKlJSL3iJqj0wVtuXBMTi5Qbf4X+U+6TPJZaq8fAmx7B6BELYDJJ2+fpaZORkpKPYbFToFFJf8IYkZKUlZXh6aefxqhRo5CQkACj0YisrCzcf//92LhxY0BjVVdX4/vvv8cLL7yAX/3qV0hPT4cgCP6v4uLiTu+rqqoKn3zyCebPn48xY8YgPj4eWq0WFosFw4YNw4IFC7Bly5Ye58zT64goYtQt/x6+Jgf0qb0RO3qc3OkQERERBZV45CT2uX5Ek70aY694FBqNdB/IeXYdwpFDH0JrjMHQ2/8TKo1WslgqjRbJgyegdPc/Ubv1R8TkjwnqlRL6szo401wQRVH2KzRaGAZloeG7zbAeLpU7Fdl4bE6Ufb4NADDlwQHQ6KS7TxQRhaeUAWYAgK2oUuZMAi+U/mbJzVwiAkHqC0FQISZG+hNYtNoojBDGA3rJQxEpyldffYUHHngAtbWXnghy5swZnDlzBkuXLsWCBQvwxhtvQK3u2XvHQ4cOYfjw4T3aR4tFixbhtddeg+cy9023Wq2wWq04fPgw3n33Xdx6661YsmQJ4uLiuhWLVxgSUURwFpfC9uNOAEDSzFshqPjrj4iIiCKLRqWDy1YDl6sep898J2ksS2wm9Doz3I11qDy+VdJYAJA4cCwErQ6u8jLYzxRKHq81T70VVe98jotPvw5RFIMauy36AemA0HxVjKumUe50ZHF++W7YrW4kZZqQd6O0y8wRUXhKzW2eMHSU1sLrcMucTWCVf3cEu+b9Dw4uOSF3KmjafwyVb34KT0Fx0GKKHg/KV/0D9nPSxxR9PlQc3Qyv24nY09LeW9jWWA5RFKE7fl7SOERKVFBQgDvvvNM/WXjDDTfgnXfewccff4xFixYhNjYWAPDOO+9g4cKFPY7n9XoveaxWqzFkyBBERUV1eV9Hjx71TxZmZ2djwYIFePPNN/HFF1/g73//O+655x7odM1XE69YsQLTpk2Dw+HoVt78xJyIwp4oiqj9eBUgijAPGwFjRpbcKREREREFnVrQYEjMJABA6YUdqLOWSBdLrUVmxrUAgLL9a+F1da9g7SyN3ojEAWMAALVbf5Q01s+p9Ho07TkMV0kpXEWh8QGd2mRE4u9+g9FL7oc2LvKW4XfVNaFs+S4AwLX/kQu1hh99EFHXRSfoYYrXQfQBjcXVcqcTUHUHzqGppBreBvlPKmncvBdNOw+i6VTwJi8bjh6Adfc2lH38AUSft+Mn9EDN6b04t20Fjq96FaLokyxOY2M5du1+HQcPLYVXDK8JbqKecjqdmDt3LlwuFwDgtddew9dff43f/va3mDNnDhYvXoydO3ciNTUVAPD2229j/fr1PYppNptx77334tVXX8WWLVtQX1+Pw4cPIzm560sSq9Vq3Hnnndi6dSsKCwvx9ttv49///d9xxx134N/+7d/w4YcfYufOnf597969G3/729+6lTffNRNR2Gvcug/OUyUQ9DokTp8ldzpEREREsknQ90WfqIEAgOMnvoTP98tlbQIlNWUEjFGJ8DqbUH5Y+km85CETAUFAY+ExOCvLJY/XQqU3IDp3KACgcdv+oMXtiOnKPJjSEyJyybmzy3bC1eRF78GxGDI1Ve50iEihBEFAak4MAKAxzJYlrTvYfIKLYWCmrHn47A407T8GADAPHxm0uHXbNwEAkgddBUEl3ZLVos+LC/u+BwD0ic+/5L7SAY0jijhx8iuIoheqRhdUvAsZ0SXef/99//0CZ82addkrCHNycvDGG2/4Hz/55JM9ipmVlYWlS5fi4Ycfxvjx42E0dv8kvo8++giff/45xo1r+xZbeXl5ePfdd/2P33///W7F4oQhEYU1n92Bui++BQAkTJgKbYxF3oSIiIiIZJZrHg+dKgpNTZUoOSvdRJ5KpUb//tMAAOWHf4Tb3iBZLAAwxCTCkjYEupRe8NmbJI31cy0fcjbuOADRK+2VCtQ+R0U9ylfvAwBMfSQ3IidMiShwWpYlbTwTPhOGjvJ6OMvrAZUAfVa6rLk07TkCeDzQJaVAn9o7KDEdpWfhOH8WglqNxIFjJY1VXbgbroZqaLUm9O3T9gf9PXXx4l7UWYuhUmkxOGYC//YR/cxnn33m3160aFGb7W655RZkZGQAALZt24aSEulWZOmK+Pj4TrW78cYbYTKZAAAlJSWor6/vcixOGBJRWLN+tR5eawO0CUmwjJ8kdzpEREREstOpDBhkvhoAUFyyAY2N0l2Nl5Q4BGZzH/jcTlw8sE6yOC0yJv4G6Q8+hqi04F4xYcoeCJXRBF+9DY5jp4Mauy2iKOLCqv04+vzX8NikXRI2lJz9eDs8Lh8yRscje3yi3OkQkcKl/HSFoe10+EwYWn+6ulCX0ReqKL2suTRu3w8AMA8bGbRJrtrtmwEAcZn50EaZJYvj83pQtv8HAEB62iSo1TpJ4rjdTTh1uvlE+QGm0YhSS/czESlRQ0MDNm9uHvdmsxkTJkxos61KpcKMGTP8j7/99lvJ8wsktVp9yZWMdru9y/vghCERhS33hQrU/9D8ByHp+puh0nBJBiIiIiIASDVkI0mfDqMxCT4J76cjCAKyMqdDrTNAZ7JIFqeFWmdAzFnJw/yCoFbDPCQPQOgsSyoIAoo+34/KghOwHrkgdzpB0XS+FuXfHQYATH2YVxcSUc/1arnCsKgKoijKnE1g1B08BwAw5Mq7HKnX2gDHkVMAAPPwEUGJ6bE1wHa4+Sr05MFXSxqr+uROuGy10OnM6NP7SsninDq9Bm5PE6I18Ug3DpcsDpFSHT16FD5fc70zYsQIqNXtL0M8ZswY//ahQ4ckzS3QysvLUVnZfIKL0WhEUlJSl/fBCUMiCkuiKKLmk9WA1wdTzmBE5wyWOyUiIiKikCEIAobFXosxox6CObqXpLHi47Nx1RX/CynDJksapzWf04m6nVvgc7uDFjNm+CgAQNOew/A5XUGL2x59TvOHwS1Xk4S7kg+3wucVkTsxGekjO7d0ExFRe5L6R0OlFuBpcMBZKe3S2sHS8jdBn9tf1jwadx4ERBGGvmnQxQfninDr7u0QvV6YktJgSkqTLI7P40bZ/rUAgIy0yVCrtZLEqasrQtnF3QCAITGToBKkux8jkVKdOHHCv52Z2fGJEq3btH6uErz11lv+7RkzZkCl6vr0X8RfbtNydpDPHjlLtBBFAtHjhSY5HijUImHKDHgdHONERBSafM7mv1HhctY6BU7La8Ljk2bySQUVVMdL4MoJzj2DvK7gvB8TRRGlb74Jda9EGLNyoDYFZ2kubXIqovoPgG5IP/gamwCfdFdudpYuKw3CxXPQWozwNDrlTkdSoihCG2+CMU6LCXP7w2EL3mQxEYW3zCviodGp4LbaoTHJu4RnT/k8XpgHpkL0idD1S5X181BBr4OmbwpMA4cF7TMblcEAdWwcEnKulPR9idthgykpDU1lZ5GcPAwejzSxvF43DIY4xCMZZk2CZO8ZW/bLeiX4PKILkP8tZad5xObXys/vnafX66HXy/P7s66uzr+dmNjxyQkJCQmXfW6oO3HiBF566SUAzSeH/vnPf+7WfgQxwkf6mTNnkJWVJXcaRERERBThTp8+jf795T3Tm0ILaxUiIiIiChWsV4LH4XAgMzMTFy9elDuVLouOjobNZrvk35566ik8/fTTsuTzwgsv4IknngAAPPHEE3juuefabV9YWIicnBwAQE5OTsCvMszIyEBJSQkAoKioCBkZGT3eZ11dHcaOHevP9dFHH8Urr7zSrX1F/BWG8fHNy5ScPXsWsbGxMmdDXVVfX49+/frh3LlziImJkTsd6gYeQ+XjMVQ+HkNl4/FTPqvVirS0NP/7UqIWrFWUj7+jlY/HUNl4/JSPx1D5eAyVj/VK8BkMBhQVFcHlCo1l7rtCFMVf3Ee6o6sLJ0+ejB9//DEg8ZctW4bZs2cHZF9K4HA4cNttt/knC8eOHeu/0rA7In7CsGUd19jYWP7RUrCYmBgeP4XjMVQ+HkPl4zFUNh4/5evO/QUovLFWCR/8Ha18PIbKxuOnfDyGysdjqHysV4LLYDDAYDDInYbiRUdH+7cdnVj+2G63+7fN5uDc2qC7XC4XfvWrX6GgoAAAkJeXh2+++QY6na7b+4z4CUMiIiIiIiIiIiIiIiIKvttvvx35+fkB2Vdubu4ljy0Wi3+7qqqqw+dXV1df9rmhxuVy4fbbb8c333wDABg2bBjWrl2LuLi4Hu2XE4ZEREREREREREREREQUdAsXLpRs360nEIuKijps37rNzycfQ4XL5cIdd9yB1atXAwCGDh2KdevWITExscf7jvjriPV6PZ566qkO19Gl0MTjp3w8hsrHY6h8PIbKxuOnfDyG1Ba+NpSPx1D5eAyVjcdP+XgMlY/HUPl4DEnJBg8e7F9Od9++ffB6ve2237Vrl3976NChkubWHS2ThatWrQLQ/POtW7cOSUlJAdm/IIqiGJA9EREREREREREREREREYWIiRMnYtOmTQCADRs2YNKkSZdt5/P5kJ2d7b/KsKioCBkZGQHNJSMjAyUlJd3a/88nCwcNGoSCggKkpKQELL+Iv8KQiIiIiIiIiIiIiIiIws/s2bP924sXL26z3cqVK/2ThWPHjg34ZGFPuN1u3HnnnZJOFgKcMCQiIiIiIiIiIiIiIqIwNHfuXKSlpQEAVq9ejTfeeOMXbQoLC/HQQw/5Hz/77LNt7i8jIwOCIEAQBGzYsCHg+f5cy2ThV199BaB5snD9+vUBnywEAE3A90hEREREREREREREREQkM4PBgCVLlmDmzJlwu91YuHAh1qxZg5tuugkmkwl79+7Fe++9B6vVCgCYP38+rrvuuh7HXbJkif+KxRZ1dXX+7cWLFyM2NvaS/3/uued+sZ8HHngAK1euBNB8T9GHH34Y27dv7zD+1VdfjcTExC7lzHsYEhERERERERERERERUdhasWIF5s6de8mk3c/Nnz8fb731FtRqdZttWt+HsKCgAJMnT75su8mTJ+PHH3/sUo6Xm65rHa8r2sutLWG9JGnLZaFd/erJZaQbNmzoUqz7778/YD9vOJK7P8vKyvD0009j1KhRSEhIgNFoRFZWFu6//35s3LgxoLHC1cGDB/Hf//3fuPXWWzFgwACYTCbodDqkpKTgmmuuwfPPP4+ysrKAxZP7NaM0q1atwh133IGMjAwYDAYkJydj/PjxePnll1FfXx82McNNQ0MDli9fjoULF2L8+PFISkqCVqtFTEwMBg4ciHvvvRdr1qy57JuM7pg8eXKXxlVxcXFA4oYrOfuT46/nnn766W69v+zqm/TWOAbDF+sVZZO7L1mrBAbrldDFWkWZWKsoH+sVZWO9QtS2W2+9FUePHsVf/vIX5Ofnw2KxwGAwIDMzE/fccw82bNiAd999t93JwrAnhjEAXf4SBEEsLi7udsyCgoIuxbvvvvsC9wOHITn7c+XKlWJcXFy78RYsWCB6PJ6AxQwntbW14oABAzp13IxGo/j6668HJC7HYOc0NDSIN910U7t9069fP3Hbtm2KjhmOFi9eLBoMhk69vidMmCCWlJT0OOakSZO6NK6Kiop6/oOGMTn6k+MvcJ566qluvcd84IEHuh2TYzB8dee1xHoldLBWUTbWK6GLtYpysVYJD6xXlI31ChH1RFjfw3DFihWdavfFF19g2bJlAIApU6YgPT09IPF//etfY/bs2e22abnZJnUsmP1ZUFCAO++8Ey6XCwBwww03XLKm8ZIlS2C1WvHOO+9AEAS89dZbAYkbThwOBwoLCwEAarUaEyZMwIQJE9C/f3+YTCaUlJTgH//4B3bu3ImmpiYsXLgQdrsdjz32WMBy4Bi8PK/XizvuuANr1qwBAKSkpGD+/PkYPHgwampqsGzZMmzZsgXnzp3DzJkzsWXLFgwaNEhxMcPVyZMn4XA4AAB9+vTBddddh1GjRiE5ORkOhwPbt2/Hxx9/DJvNhk2bNmHy5MnYvn07kpOTAxK/M39bAxUrEgSjPzn+Amv27NnIz8/vsJ3b7cbdd9/tfy8xd+7cgMTnGAwvrFfCB2sV5WG9EppYqygba5Xww3pFeVivEFGPyD1jGQry8vL8Zzh8+umnPdpX67MFn3rqqcAkGMHk6E+HwyFmZGT447722mu/aHPixAkxNTXV32bdunVByU1JysrKxISEBPG5554TL1y40Ga7F1980d+POp1OLCws7FFcjsGOvf322/4+Gjx4sHjx4sVftPnDH/5wyZmfSowZrn73u9+J06ZNE7///nvR6/Vetk1xcbGYm5sbkDMFRfHSswWp54Ldnxx/8vjyyy/9fZqbm9ujfXEMEuuV0MRaRdlYr4Qm1irKxlolPLBeiQysV4jociJ+FO/evdv/Cy0uLk602+092h/f/AeWHP355ptv+mPOmjWrzXbLly/3txs3blxQclMSl8slNjQ0dKrtLbfcErDjzDHYPo/HI/bq1cvfR3v27GmzXX5+vr/dd999p6iY4ay6urpT7fbv3+/vS6PRKDY2NnY7Jt/8B1Yw+5PjTz433nijvz9feumlHu2LYzCysV4JXaxVlI31SuhhraJ8rFXCA+uVyMB6hYguR4UIt2TJEv/2nDlzYDAYZMyGQsFnn33m3160aFGb7W655RZkZGQAALZt24aSkhKpU1MUrVaL6OjoTrX99a9/7d8+ePCgVCkRgI0bN6KsrAwAMGnSJIwcOfKy7dRqNR5++GH/45Zl0JQSM5zFx8d3ql1eXh5yc3MBAE1NTTh16pSUaVGI4viTR1lZGb799lsAgEajwb333itzRqRkrFeoNdYqgcN6JfSwVlE+1irUVRyD8mC9QkRtiegJQ4fDcckfmHnz5smYDYWChoYGbN68GQBgNpsxYcKENtuqVCrMmDHD/7jlDy11XUxMjH/bbrfLmEn4a/06nTlzZrttr7/++ss+TwkxqRnHFnH8yWPp0qXwer0Amu8tlpqaKnNGpFSsV6g11iry4Xuq4GCtElk4rgjgGJQL6xUiaktETxh++eWXqKurAwCMHDmyUzeE7Yrly5cjPz8fMTExMBgM6N27N6ZNm4aXX34ZNTU1AY0VCYLRn0ePHoXP5wMAjBgxAmq1ut32Y8aM8W8fOnQoIDlEotZ9l56eHrD9cgz+Uuu+bv36vZzU1FT069cPAFBeXo7KykrFxCTA5XLh5MmT/seBGls33ngj+vTpA51Oh7i4OAwZMgTz589HQUFBQPYfaaTuT44/eXzwwQf+7UBP8HAMRhbWK8rBWiW8sV4JDtYqkYO1inKwXglPrFeIqE1yr4kqpylTpvjXV37jjTcCss/W9yNo7ys6OlpcsmRJQGKGs2D359KlS/37vO+++zpsv379en/7a6+9tsfxI5HL5RIHDBjg78dVq1b1aH8cg+3LzMz090FRUVGH7SdOnOhvv2nTJsXEJFH84IMP/P04cuTIHu2r9f0I2vuaMmWKeOHChQD9BOErmP3J8Rd8Gzdu9Pdhr169RI/H0+N9cgxGLtYroY21SmRgvRI8rFUiB2uV0MZ6JbyxXiGi9mgQoYqLi/1nNhgMBtx1110B27cgCBg5ciQmT56MQYMGITY2FjabDQcPHsQXX3yB0tJS2Gw2zJs3DxUVFfjP//zPgMUOR8Hsz5YzuAEgMTGxw/YJCQmXfS513osvvojCwkIAQH5+Pm644YYe75NjsG1yvMY5roKvsrISjz/+uP/xk08+2eN9xsXFYerUqRg9ejT69OkDtVqN0tJSrFu3Dt9++y1EUcT69esxbtw4bN++nUuadCBY/cnxF3zvv/++f/u+++7r8AqgzuIYjDysV5SBtUr4Y70SPKxVIgNrFWVgvRK+WK8QUbvknK2U01//+lf/2Q1z5swJ2H4vXLggnjhxos3/dzqd4qOPPuqPLQiCuG3btoDFDzfB7s/nn3/ev68nnniiw/YnT570t8/Jyel23Ej19ddfiyqVSgQgarVacefOnT3eJ8dg+7Rarf9nd7vdHba/6667/O0//fRTxcSMZE6nU5wwYYK/D2+55ZYe73Pr1q2i0+ls8/937dolpqWl+WNef/31PY4ZzoLZnxx/wVVfXy+aTCZ/H548eTIg++UYjEysV0Ifa5Xwx3oluFirhD/WKsrAeiV8sV4hoo7Ieg/DyZMnQxCEgHx99tlnnY7r8/nwP//zP/7Hc+fODdjP1KtXL+Tk5LT5/zqdDq+88gruueceAIAoinj22WcDFj/YpD6GkdafwSbXGASA3bt34ze/+Y3/PiyLFy/ucL36zuBrhiKZz+fD3LlzsWnTJgBAVlbWJWcPdte4ceOg0+na/P/Ro0djzZo10Ov1AJpvQL9r164exw1X7M/w9fnnn6OxsREAMGHCBAwYMCAg++VrRj6sV5T9Xom1ivKxXuHrhsIHaxXlYJ+GL9YrRNQRWScM5bJ27VqcPXsWAJCZmYlrrrkm6Dm88MILEAQBALBu3TrY7fag5xBOAtWf0dHR/m2Hw9Fh+9ZxzGZzt2JGooMHD2L69OloaGgAAPzlL3/Bf/zHfwQ1h0gdg3K8xjmugkMURfzud7/DJ598AgBIS0vD2rVrERcXF5T4gwYN8n+wBQBff/11UOKGq0D1J8dfcLX+0GvevHlBjc0xGF5Yr4QX1irKw3pFHqxVwhdrlfDDekWZWK8QUUdkvYfh7bffjvz8/IDsKzc3t9NtW/9ynDt3rv9NeDD17dsX2dnZKCwshNPpRFFREQYPHhz0PHpKrmP4c4HqT4vF4t+uqqrqsH11dfVln6sUchy/Q4cO4dprr0VNTQ0A4E9/+hOeeeaZgOTQFeEyBrvKYrGgtrYWQPNrvPWb88sJxGtcjpiRRhRFPPjgg/j73/8OoPn1vX79emRkZAQ1j2uuuQbvvfceAODYsWNBjR2OAtGfHH/Bc/z4cWzbtg0AEBMTgzvuuCPoOXAMBh7rFWW/V2Ktovzf6axXlD0Gu4q1SnhirRK+WK8oC+sVIuoMWScMFy5cGPSYNTU1WLlyJQBApVLh/vvvD3oOLZKSkvw3T1fqjXrlOIZtCUR/ti4ii4qKOmzfuk1PPkSQS7CPX0vx3fIBx+OPP44XXnghqDm0Fg5jsKtyc3P9r9uioqIOi7RAvMbliBlJRFHEQw89hLfffhsA0KdPHxQUFCArKyvouSQlJfm3I2VMSSkQ/cnxFzxLlizxb8+ePRtGozHoOXAMBh7rFWW/V2Ktovzf6axXlD0Gu4q1SvhhrRLeWK8oC+sVIuqMiFuS9JNPPoHT6QQATJ8+HX379pUtl9ZnhfKsmJ4LRH8OHjwYKlXzsNi3bx+8Xm+77Vuvtz106NBuxYwULcV3ZWUlAOCxxx7Df/3Xf8maUySOwWHDhvm3O1ovvry8HOfOnQMAJCcnX/LGLtRjRoqWAvytt94CAPTu3RsFBQXIzs6WJZ9IHFNSCkR/cvwFh8fjwUcffeR/HOzlfVpwDIYH1ivhibVK6GO9Ij/WKuGFtUr4Y72iHKxXiKizIm7CUM61mlsrLS31nymo1+uDvhRDuAlUf5rNZlx11VUAgIaGBmzevLnNtj6fD999953/8fXXX9+tmJHg58X3okWL8PLLL8uaU6SOwRkzZvi3v/3223bbfvPNN/7tmTNnKipmJPh5Ad6rVy8UFBQE7Kbl3VFQUODf5tmePReI/uT4C45//vOfKC8vB9D8ofwVV1whSx4cg+GB9Ur4Ya0S+livhAbWKuGDtUpkYL2iHKxXiKjTxAiyZ88eEYAIQExKShJdLpdsuTzwwAP+XGbMmCFbHuEikP35xhtv+Pc1a9asNtstX77c327s2LE9ihnODh8+LCYlJfn76ve//73cKYmiGLlj0OPxiKmpqf6ffc+ePW22y8/P97dbs2aNomJGggcffNDfV6mpqeLx48dlzefEiROiwWDw57R9+3ZZ81G6QPUnx19wzJo1y993r7zyiiw5cAyGB9Yr4Ym1SmhjvRI6WKuED9Yq4Y/1irKwXiGizoqoCcOHHnrI/0tp0aJFXX5+enq6//kFBQW/+P/CwkLxpZdeEq1Wa5v7cLlc4h//+Ef/fgCIW7Zs6XIukUCK/uzoGIqiKNrtdjEtLc3f7vXXX/9Fm5MnT17yhuaHH37o8s8XCY4cOSImJycHrPjmGAyMN9980/+zDxkyRCwvL/9Fm8cee8zf5qqrrmpzXx988IG/3aRJk4ISk0Rx4cKFASnAO3P8Xn311Q7HyN69e8WMjAz/vqZNm9atfCJBIPuT4y80lJWViRqNRgQg6nQ6sbKystPP5Rikn2O9ohysVcID65XQw1pF+VirKBvrlfDDeoWIukKDCOFwOPDpp5/6H0uxvI/NZsPjjz+Ov/71r5gyZQrGjBmDzMxMmM1m2Gw2HDp0CF988YV/vW0AeP755zF+/PiA5xIO5OpPg8GAJUuWYObMmXC73Vi4cCHWrFmDm266CSaTCXv37sV7770Hq9UKAJg/fz6uu+66HsUMR+fPn8eUKVNQUVEBABgxYgQmTpyIlStXtvs8o9GIadOmdSsmx2DnzJ8/HytWrMAPP/yAI0eOIC8vD/Pnz8fgwYNRU1ODZcuW+Ze4slgseOeddxQZM1w9+eSTeP311wEAgiDgkUcewbFjx3Ds2LF2nzdy5EikpaV1Od769evxyCOPICsrC9dddx2GDh2KhIQEqNVqXLhwAevWrcM333wDn88HAEhPT8cHH3zQ9R8sQsjRnxx/0vrwww/h8XgAADfffDMSExMDun+OwcjBekVZWKsoH+uV0MRaRdlYqygf65Xww3qFiLpE7hnLYPn000/9ZzF0d0mWjs4W3Ldv3yVnAbb3FRMTIy5ZsqSHP1V4k6I/O3PWbosvv/xStFgs7cadP3++6PF4AvQTh5eCgoJOH7/WX+np6W3uk2MwcOrr68Ubb7yx3T7q27dvh2eJdfaMwUDGjHSTJk3q1tj64IMPfrGvzhy/m2++udMxpk+fLpaWlkrbAQoXyP7k+AsNubm5/j7s6tJIHIPUGusVZWGtonysV0IXaxXlYq2ifKxXwg/rFSLqioi5wvD999/3b8+dO1eSGIMGDcKaNWuwY8cO7NixA8XFxaiqqkJtbS30ej0SExORl5eHqVOn4p577kFMTIwkeYQLufvz1ltvxdixY/HWW29h9erVKC4uhsPhQK9evXD11Vdj3rx5mDRpUkBjUs/I/ZpRErPZjNWrV+Orr77Chx9+iF27dqGiogJmsxlZWVm47bbbsGDBAsTGxio6JvXc4sWLMWvWLOzYsQMHDhxARUUFqqqq4HQ6ERsbi4yMDIwbNw5z5szBlVdeKXe6IU+u/uT4k8aWLVtw4sQJAEC/fv0wderUgMfgGIwcrFeURe6+ZK2iTHK/bpSCtQp1Ft8nBR7rlfDCeoWIukoQRVGUOwkiIiIiIiIiIiIiIiIikodK7gSIiIiIiIiIiIiIiIiISD6cMCQiIiIiIiIiIiIiIiKKYJwwJCIiIiIiIiIiIiIiIopgnDAkIiIiIiIiIiIiIiIiimCcMCQiIiIiIiIiIiIiIiKKYJwwJCIiIiIiIiIiIiIiIopgnDAkIiIiIiIiIiIiIiIiimCcMCQiIiIiIiIiIiIiIiKKYJwwJCIiIiIiIiIiIiIiIopgnDAkIiIiIiIiIiIiIiIiimCcMCQiIiIiIiIiIiIiIiKKYJwwJCIiIiIiIiIiIiIiIopgnDAkIiIiIiIiIiIiIiIiimCcMCQiIiIiIiIiIiIiIiKKYJwwJCIiIiIiIiIiIiIiIopgnDAkIiIiIiIiIiIiIiIiimCcMCQiIiIiIiIiIsXasWMHtFotBEFAUlISysrK2mzrcDiQl5cHQRAgCAI+/PDDIGZKREREFLo4YUhERERERERERIp15ZVX4tlnnwUAVFVV4e6774bP57ts2z/84Q84ePAgAODuu+/GvffeG7Q8iYiIiEKZIIqiKHcSRERERERERERE3SWKIqZNm4a1a9cCAJ5//nn8+c9/vqTNihUrcNtttwEAsrOzsXfvXpjN5qDnSkRERBSKOGFIRERERERERESKd/HiReTl5aGiogIajQYbN27EuHHjAABnz55Ffn4+amtrodPpsHXrVowaNUrmjImIiIhCB5ckJSIiIiIiIiIixUtNTcXSpUshCAI8Hg/uuusuWK1WeL1ezJkzB7W1tQCAF154gZOFRERERD/DKwyJiIiIiIiIiChsPPbYY1i8eDEA4M4770ROTg6ee+45AMCMGTPwzTffQBAEOVMkIiIiCjmcMCQiIiIiIiIiorDhdrsxfvx47N69+5J/T01NxYEDB5CcnCxTZkREREShi0uSEhERERERERFR2NBqtVi2bBnMZrP/3wRBwEcffcTJQiIiIqI2cMKQiIiIiIiIiIjCSnJyMuLj4/2P+/bti6uuukrGjIiIiIhCGycMiYiIiIiIiIgorPz2t79FSUmJ//G5c+fw6KOPypcQERERUYjjhCEREREREREREYWNJUuW4PPPPwcA5OXlITs7GwDw7rvvYvny5XKmRkRERBSyBFEURbmTICIiIiIiIiIi6qnjx49j1KhRaGpqgtFoxJ49e2Cz2TB+/Hi43W7ExcVh//79SEtLkztVIiIiopDCKwyJiIiIiIiIiEjxnE4nZs+ejaamJgDAa6+9hoEDB2L06NF48cUXAQC1tbWYM2cOvF6vnKkSERERhRxOGBIRERERERERkeI99thjOHDgAABg9uzZmDt3rv//Fi1ahBkzZgAANm/ejGeeeUaWHImIiIhCFZckJSIiIiIiIiIiRVu1ahVuvvlmAEBmZib27duH2NjYS9pUVFQgLy8PFy9ehFqtxvr16zFx4kQ50iUiIiIKOZwwJCIiIiIiIiIixSotLUVeXh6qq6uh0WiwefNmXHnllZdt+8MPP2D69OkQRRH9+vXDgQMHEBcXF+SMiYiIiEIPlyQlIiIiIiIiIiJF8vl8mDNnDqqrqwEAzzzzTJuThQAwdepU/PGPfwQAnDt3DvPmzQtKnkREREShjlcYEhEREREREREREREREUUwXmFIREREREREREREREREFME4YUhEREREREREREREREQUwThhSERERERERERERERERBTBOGFIREREREREREREREREFME4YUhEREREREREREREREQUwThhSERERERERERERERERBTBOGFIREREREREREREREREFME4YUhEREREREREREREREQUwThhSERERERERERERERERBTBOGFIREREREREREREREREFME4YUhEREREREREREREREQUwThhSERERERERERERERERBTBOGFIREREREREREREREREFME4YUhEREREREREREREREQUwThhSERERERERERERERERBTB/j96g3GZDSVM8gAAAABJRU5ErkJggg==", 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", 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", 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", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "key = 'v_p'\n", + "\n", + "# Make the mesh\n", + "x = np.linspace(-rmax, rmax, nx)\n", + "y = np.linspace(-rmax, rmax, ny)\n", + "xv, yv = np.meshgrid(x, y)\n", + "\n", + "for tim in vsurfaces:\n", + " if tim in surfaces:\n", + " fig, ax = plt.subplots(1, 2, figsize=(24, 12))\n", + " mat = vsurfaces[tim][key]/vsurfaces0[tim]['weight']\n", + "\n", + " cont1 = ax[1].contour(xv, yv, mat.transpose(), colors='k')\n", + " cont2 = ax[1].contourf(xv, yv, mat.transpose())\n", + " plt.colorbar(cont2, ax=ax)\n", + " ax[1].set_xlabel('x')\n", + " ax[1].set_ylabel('y')\n", + " ax[1].set_title('T={:4.3f}, {}'.format(tim, key))\n", + " \n", + " mat2 = surfaces[tim]['dens']\n", + " cont3 = ax[0].contour(xv, yv, mat2.transpose(), colors='k')\n", + " cont4 = ax[0].contourf(xv, yv, mat2.transpose())\n", + " plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.3" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/Tutorials/EXP/zang disk.ipynb b/Tutorials/EXP/zang disk.ipynb index baf15d5..321bf73 100644 --- a/Tutorials/EXP/zang disk.ipynb +++ b/Tutorials/EXP/zang disk.ipynb @@ -76,13 +76,13 @@ "text": [ "<>:22: SyntaxWarning: invalid escape sequence '\\S'\n", "<>:22: SyntaxWarning: invalid escape sequence '\\S'\n", - "/tmp/ipykernel_230338/2156287017.py:22: SyntaxWarning: invalid escape sequence '\\S'\n", + "/tmp/ipykernel_3373/2156287017.py:22: SyntaxWarning: invalid escape sequence '\\S'\n", " plt.ylabel('$\\Sigma(R)$')\n" ] }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -191,11 +191,11 @@ "***************************************************\n", "\n", "** Main loop complete\n", - "** Position center: -0.0309711, -0.0644954, 0\n", - "** Velocity center: 0.00519157, -0.00161306, 0\n", + "** Position center: -0.0399281, 0.0201501, 0\n", + "** Velocity center: -0.00388513, -0.00212088, 0\n", "** 0 particles failed acceptance\n", "** Particle mass=0.000201561\n", - "** 2T/VC=1.00154\n" + "** 2T/VC=1.00225\n" ] }, { @@ -241,7 +241,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "id": "00ff46f1-7739-49b5-b495-8d6e7936dccc", "metadata": { "scrolled": true @@ -255,20 +255,20 @@ "\n", "# Node name PID Executable \n", "- --------- --- ---------- \n", - "0 raven 230471 exp \n", - "1 raven 230472 exp \n", - "2 raven 230473 exp \n", - "3 raven 230474 exp \n", - "4 raven 230475 exp \n", - "5 raven 230476 exp \n", - "6 raven 230477 exp \n", - "7 raven 230478 exp \n", - "8 raven 230479 exp \n", - "9 raven 230481 exp \n", - "10 raven 230483 exp \n", - "11 raven 230485 exp \n", - "12 raven 230488 exp \n", - "13 raven 230490 exp \n", + "0 d1ba6fabd2c3 3442 exp \n", + "1 d1ba6fabd2c3 3443 exp \n", + "2 d1ba6fabd2c3 3444 exp \n", + "3 d1ba6fabd2c3 3445 exp \n", + "4 d1ba6fabd2c3 3446 exp \n", + "5 d1ba6fabd2c3 3447 exp \n", + "6 d1ba6fabd2c3 3448 exp \n", + "7 d1ba6fabd2c3 3449 exp \n", + "8 d1ba6fabd2c3 3450 exp \n", + "9 d1ba6fabd2c3 3452 exp \n", + "10 d1ba6fabd2c3 3454 exp \n", + "11 d1ba6fabd2c3 3456 exp \n", + "12 d1ba6fabd2c3 3458 exp \n", + "13 d1ba6fabd2c3 3459 exp \n", "%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n", "\n", "\n", @@ -277,9 +277,9 @@ "%%%%% This is EXP 7.7.99 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n", "%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n", "%%%%% Repository URL | https://github.com/EXP-code/EXP %\n", - "%%%%% Current branch | ClangCompliance %\n", - "%%%%% Current commit | e735406b0be2619c015867a19c270342b35ebebe %\n", - "%%%%% Compile time | 2024-10-16 10:27:41 EDT %\n", + "%%%%% Current branch | main %\n", + "%%%%% Current commit | 551a43f41b4b82f5eb34ac7d126b6fef300d1bd6 %\n", + "%%%%% Compile time | 2024-12-31 19:57:05 UTC %\n", "%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n", "\n", "---- Random seed for Node 0 is: 11\n", @@ -294,6 +294,7 @@ "---- BiorthCyl::create_tables: creating 3d basis...\n", "---- BiorthCyl::create_tables: done!\n", "---- BiorthCyl::WriteH5Cache: wrote \n", + "---- FlatDisk: Making a double-tapered Zang with {vrot: 1.0, Ninner: 4.0, Mouter: 5.0, Ri: 1.0, Ro: 11.5}\n", "---- FlatDisk parameters: \n", "---- lmax=4\n", "---- nmax=6\n", @@ -311,23 +312,9 @@ "\n", "ExternalCollection:\n", "-----------------------------------------------------------------------\n", - "scandir: No such file or directory\n", - "scandir: No such file or directory\n", - "scandir: No such file or directory\n", - "scandir: No such file or directory\n", - "scandir: No such file or directory\n", - "scandir: No such file or directory\n", - "scandir: No such file or directory\n", - "scandir: No such file or directory\n", - "scandir: No such file or directory\n", - "scandir: No such file or directory\n", - "scandir: No such file or directory\n", - "scandir: No such file or directory\n", - "scandir: No such file or directory\n", - "scandir: No such file or directory\n", - "Loaded user libraries <>\n", + "Loaded user libraries \n", "-----------------------------------------------------------------------\n", - "Available user routines are <>\n", + "Available user routines are \n", "-----------------------------------------------------------------------\n", "\n", "------------------------------------------------------------------------\n", @@ -338,53023 +325,83728 @@ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.5%\n", + "--- Coef/DT = 0.4%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 9.9719e-03 sec\n", - "--- Collate = 8.0223e-05 sec\n", + "--- Update = 3.6371e-03 sec\n", + "--- Collate = 2.6145e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.799559e-04 < 6.250000e-03 [29]\n", - "--- Max DT=3.049327e-01 > 1.000000e-01 [70306]\n", + "--- Min DT=1.943805e-05 < 6.250000e-03 [21]\n", + "--- Max DT=3.050059e-01 > 1.000000e-01 [70228]\n", "----------------------------------------------------------------------\n", - " Component | low: 29/100000\n", - " Component | high: 70306/100000\n", + " Component | low: 21/100000\n", + " Component | high: 70228/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.1] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000430683 [ 0.33 %]\n", - "Velocity : 0.00200237 [ 1.54 %]\n", - "Force : 0.0462859 [ 35.52 %]\n", - "Coefs : 0.0190583 [ 14.62 %]\n", - "Output : 0.00141491 [ 1.09 %]\n", - "Levels : 0.00357966 [ 2.75 %]\n", - "Report : 3.452e-06 [ 0.00 %]\n", - "Balance : 2.587e-06 [ 0.00 %]\n", - "Adjust : 0.0574932 [ 44.12 %]\n", - "Total : 0.13032 [100.00 %]\n", + "Drift : 0.000164913 [ 0.31 %]\n", + "Velocity : 0.000731291 [ 1.38 %]\n", + "Force : 0.0164556 [ 30.95 %]\n", + "Coefs : 0.00679927 [ 12.79 %]\n", + "Output : 0.0005777 [ 1.09 %]\n", + "Levels : 0.00938375 [ 17.65 %]\n", + "Report : 1.292e-06 [ 0.00 %]\n", + "Balance : 1.08e-06 [ 0.00 %]\n", + "Adjust : 0.0190416 [ 35.81 %]\n", + "Total : 0.053173 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6643 397 93 6 3 \n", - "1 : 6653 402 79 7 1 \n", - "2 : 6651 409 76 6 0 \n", - "3 : 6657 414 64 5 2 \n", - "4 : 6627 431 71 10 3 \n", - "5 : 6653 404 74 7 4 \n", - "6 : 6651 393 92 3 3 \n", - "7 : 6619 422 90 7 4 \n", - "8 : 6642 414 76 8 2 \n", - "9 : 6644 407 87 0 4 \n", - "10 : 6664 372 91 7 8 \n", - "11 : 6607 461 66 6 2 \n", - "12 : 6652 407 76 4 3 \n", - "13 : 6651 412 84 5 2 \n", + "0 : 6636 408 87 10 1 \n", + "1 : 6670 389 77 1 5 \n", + "2 : 6612 417 104 6 3 \n", + "3 : 6655 399 82 5 1 \n", + "4 : 6614 412 104 6 6 \n", + "5 : 6659 406 68 6 3 \n", + "6 : 6615 425 95 6 1 \n", + "7 : 6618 421 95 5 3 \n", + "8 : 6671 389 73 6 3 \n", + "9 : 6668 394 73 2 5 \n", + "10 : 6638 410 84 6 4 \n", + "11 : 6616 433 81 9 3 \n", + "12 : 6627 428 82 4 1 \n", + "13 : 6676 394 76 7 1 \n", "\n", - "T : 93014 5745 1119 81 41 [100000]\n", + "T : 92975 5725 1181 79 40 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.6%\n", - "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0464e-02 sec\n", - "--- Collate = 1.3109e-04 sec\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.0%\n", + "--- Update = 3.5613e-03 sec\n", + "--- Collate = 5.5635e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.076511e-05 < 6.250000e-03 [28]\n", - "--- Max DT=3.049240e-01 > 1.000000e-01 [70304]\n", + "--- Min DT=2.499110e-05 < 6.250000e-03 [21]\n", + "--- Max DT=3.050071e-01 > 1.000000e-01 [70228]\n", "----------------------------------------------------------------------\n", - " Component | low: 28/100000\n", - " Component | high: 70304/100000\n", + " Component | low: 21/100000\n", + " Component | high: 70228/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.2] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000975739 [ 0.67 %]\n", - "Velocity : 0.00334145 [ 2.30 %]\n", - "Force : 0.0524198 [ 36.03 %]\n", - "Coefs : 0.0193992 [ 13.33 %]\n", - "Output : 0.00140375 [ 0.96 %]\n", - "Levels : 0.000306666 [ 0.21 %]\n", - "Report : 9.26e-07 [ 0.00 %]\n", - "Balance : 3.45e-07 [ 0.00 %]\n", - "Adjust : 0.0676075 [ 46.46 %]\n", - "Total : 0.145506 [100.00 %]\n", + "Drift : 0.000263991 [ 0.65 %]\n", + "Velocity : 0.000776185 [ 1.90 %]\n", + "Force : 0.0148838 [ 36.51 %]\n", + "Coefs : 0.00628695 [ 15.42 %]\n", + "Output : 0.000530862 [ 1.30 %]\n", + "Levels : 0.000123489 [ 0.30 %]\n", + "Report : 3.86e-07 [ 0.00 %]\n", + "Balance : 1.8e-07 [ 0.00 %]\n", + "Adjust : 0.0178886 [ 43.88 %]\n", + "Total : 0.0407702 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6643 397 93 6 3 \n", - "1 : 6654 401 81 5 1 \n", - "2 : 6650 410 76 6 0 \n", - "3 : 6656 414 66 4 2 \n", - "4 : 6626 431 72 11 2 \n", - "5 : 6653 404 73 8 4 \n", - "6 : 6651 393 92 3 3 \n", - "7 : 6619 422 89 7 5 \n", - "8 : 6643 413 76 8 2 \n", - "9 : 6645 406 87 1 3 \n", - "10 : 6665 372 89 9 7 \n", - "11 : 6606 462 67 5 2 \n", - "12 : 6652 407 76 5 2 \n", - "13 : 6650 416 81 5 2 \n", + "0 : 6638 406 87 10 1 \n", + "1 : 6669 389 78 2 4 \n", + "2 : 6612 417 104 5 4 \n", + "3 : 6655 399 81 6 1 \n", + "4 : 6615 411 104 6 6 \n", + "5 : 6658 407 68 7 2 \n", + "6 : 6616 424 96 5 1 \n", + "7 : 6619 420 95 5 3 \n", + "8 : 6671 389 73 6 3 \n", + "9 : 6669 393 73 2 5 \n", + "10 : 6639 409 84 6 4 \n", + "11 : 6616 434 80 9 3 \n", + "12 : 6628 427 81 5 1 \n", + "13 : 6676 394 76 6 2 \n", "\n", - "T : 93013 5748 1118 83 38 [100000]\n", + "T : 92981 5719 1180 80 40 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.6%\n", + "--- Coef/DT = 0.5%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 9.9177e-03 sec\n", - "--- Collate = 1.3010e-04 sec\n", + "--- Update = 3.5696e-03 sec\n", + "--- Collate = 2.9095e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.060347e-04 < 6.250000e-03 [25]\n", - "--- Max DT=3.049154e-01 > 1.000000e-01 [70307]\n", + "--- Min DT=6.885628e-06 < 6.250000e-03 [22]\n", + "--- Max DT=3.050086e-01 > 1.000000e-01 [70231]\n", "----------------------------------------------------------------------\n", - " Component | low: 25/100000\n", - " Component | high: 70307/100000\n", + " Component | low: 22/100000\n", + " Component | high: 70231/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.3] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00059725 [ 0.45 %]\n", - "Velocity : 0.00325413 [ 2.43 %]\n", - "Force : 0.0544756 [ 40.64 %]\n", - "Coefs : 0.0182424 [ 13.61 %]\n", - "Output : 0.00127243 [ 0.95 %]\n", - "Levels : 0.000240751 [ 0.18 %]\n", - "Report : 5.22e-07 [ 0.00 %]\n", - "Balance : 5.19e-07 [ 0.00 %]\n", - "Adjust : 0.0559275 [ 41.72 %]\n", - "Total : 0.134058 [100.00 %]\n", + "Drift : 0.000323867 [ 0.78 %]\n", + "Velocity : 0.000759735 [ 1.83 %]\n", + "Force : 0.0153804 [ 37.08 %]\n", + "Coefs : 0.00646085 [ 15.58 %]\n", + "Output : 0.000520412 [ 1.25 %]\n", + "Levels : 0.000125015 [ 0.30 %]\n", + "Report : 2.34e-07 [ 0.00 %]\n", + "Balance : 1.78e-07 [ 0.00 %]\n", + "Adjust : 0.0178887 [ 43.13 %]\n", + "Total : 0.041475 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6643 397 93 6 3 \n", - "1 : 6653 403 80 5 1 \n", - "2 : 6650 410 77 5 0 \n", - "3 : 6655 415 66 4 2 \n", - "4 : 6627 429 74 11 1 \n", - "5 : 6655 402 73 8 4 \n", - "6 : 6651 392 93 3 3 \n", - "7 : 6619 424 87 6 6 \n", - "8 : 6644 412 75 7 4 \n", - "9 : 6646 405 87 1 3 \n", - "10 : 6666 371 88 10 7 \n", - "11 : 6607 461 67 5 2 \n", - "12 : 6652 407 76 4 3 \n", - "13 : 6652 415 81 4 2 \n", + "0 : 6637 407 87 10 1 \n", + "1 : 6669 389 78 3 3 \n", + "2 : 6612 417 103 6 4 \n", + "3 : 6655 399 81 6 1 \n", + "4 : 6615 412 104 5 6 \n", + "5 : 6657 406 70 6 3 \n", + "6 : 6618 421 95 7 1 \n", + "7 : 6619 420 94 6 3 \n", + "8 : 6671 389 73 5 4 \n", + "9 : 6670 391 75 1 5 \n", + "10 : 6638 410 84 6 4 \n", + "11 : 6616 434 81 7 4 \n", + "12 : 6625 430 81 5 1 \n", + "13 : 6676 392 79 5 2 \n", "\n", - "T : 93020 5743 1117 79 41 [100000]\n", + "T : 92978 5717 1185 78 42 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 0.5%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.1836e-02 sec\n", - "--- Collate = 1.2611e-04 sec\n", + "--- Update = 3.6207e-03 sec\n", + "--- Collate = 2.7788e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.609628e-04 < 6.250000e-03 [21]\n", - "--- Max DT=3.049065e-01 > 1.000000e-01 [70302]\n", + "--- Min DT=1.864171e-04 < 6.250000e-03 [19]\n", + "--- Max DT=3.050096e-01 > 1.000000e-01 [70218]\n", "----------------------------------------------------------------------\n", - " Component | low: 21/100000\n", - " Component | high: 70302/100000\n", + " Component | low: 19/100000\n", + " Component | high: 70218/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.4] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0010663 [ 0.73 %]\n", - "Velocity : 0.00311349 [ 2.15 %]\n", - "Force : 0.0474304 [ 32.68 %]\n", - "Coefs : 0.0219478 [ 15.12 %]\n", - "Output : 0.00128976 [ 0.89 %]\n", - "Levels : 0.000254084 [ 0.18 %]\n", - "Report : 7.34e-07 [ 0.00 %]\n", - "Balance : 2.91e-07 [ 0.00 %]\n", - "Adjust : 0.0699939 [ 48.22 %]\n", - "Total : 0.145145 [100.00 %]\n", + "Drift : 0.00031256 [ 0.77 %]\n", + "Velocity : 0.000728682 [ 1.79 %]\n", + "Force : 0.0149861 [ 36.71 %]\n", + "Coefs : 0.00621326 [ 15.22 %]\n", + "Output : 0.00052087 [ 1.28 %]\n", + "Levels : 0.000131438 [ 0.32 %]\n", + "Report : 3.41e-07 [ 0.00 %]\n", + "Balance : 1.72e-07 [ 0.00 %]\n", + "Adjust : 0.0179121 [ 43.88 %]\n", + "Total : 0.0408214 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6642 395 96 5 4 \n", - "1 : 6653 402 81 6 0 \n", - "2 : 6650 410 77 5 0 \n", - "3 : 6654 416 66 4 2 \n", - "4 : 6627 429 74 11 1 \n", - "5 : 6655 402 72 9 4 \n", - "6 : 6653 390 93 3 3 \n", - "7 : 6621 422 88 6 5 \n", - "8 : 6645 412 74 7 4 \n", - "9 : 6646 404 88 2 2 \n", - "10 : 6665 372 90 7 8 \n", - "11 : 6608 459 67 6 2 \n", - "12 : 6652 408 75 4 3 \n", - "13 : 6653 414 81 4 2 \n", + "0 : 6636 409 85 11 1 \n", + "1 : 6670 388 78 3 3 \n", + "2 : 6610 419 103 4 6 \n", + "3 : 6655 397 83 6 1 \n", + "4 : 6615 411 105 6 5 \n", + "5 : 6653 411 69 6 3 \n", + "6 : 6617 422 94 9 0 \n", + "7 : 6619 420 94 7 2 \n", + "8 : 6672 389 71 6 4 \n", + "9 : 6667 395 74 2 4 \n", + "10 : 6638 409 84 5 6 \n", + "11 : 6616 434 81 6 5 \n", + "12 : 6625 430 80 6 1 \n", + "13 : 6674 394 77 7 2 \n", "\n", - "T : 93024 5735 1122 79 40 [100000]\n", + "T : 92967 5728 1178 84 43 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 0.5%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.9030e-02 sec\n", - "--- Collate = 1.4612e-04 sec\n", + "--- Update = 3.6238e-03 sec\n", + "--- Collate = 4.7188e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.209933e-04 < 6.250000e-03 [18]\n", - "--- Max DT=3.048974e-01 > 1.000000e-01 [70302]\n", + "--- Min DT=2.485377e-04 < 6.250000e-03 [17]\n", + "--- Max DT=3.050108e-01 > 1.000000e-01 [70210]\n", "----------------------------------------------------------------------\n", - " Component | low: 18/100000\n", - " Component | high: 70302/100000\n", + " Component | low: 17/100000\n", + " Component | high: 70210/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.5] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000993344 [ 0.71 %]\n", - "Velocity : 0.0022113 [ 1.59 %]\n", - "Force : 0.0500709 [ 35.97 %]\n", - "Coefs : 0.0175483 [ 12.61 %]\n", - "Output : 0.00126427 [ 0.91 %]\n", - "Levels : 0.00023957 [ 0.17 %]\n", - "Report : 5.51e-07 [ 0.00 %]\n", - "Balance : 3.1e-07 [ 0.00 %]\n", - "Adjust : 0.0668088 [ 47.99 %]\n", - "Total : 0.139202 [100.00 %]\n", + "Drift : 0.000334205 [ 0.82 %]\n", + "Velocity : 0.000731521 [ 1.80 %]\n", + "Force : 0.0147398 [ 36.28 %]\n", + "Coefs : 0.00633112 [ 15.58 %]\n", + "Output : 0.000527908 [ 1.30 %]\n", + "Levels : 0.000114798 [ 0.28 %]\n", + "Report : 4.57e-07 [ 0.00 %]\n", + "Balance : 1.72e-07 [ 0.00 %]\n", + "Adjust : 0.0178353 [ 43.89 %]\n", + "Total : 0.040632 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6642 394 98 4 4 \n", - "1 : 6650 405 82 4 1 \n", - "2 : 6648 411 79 4 0 \n", - "3 : 6653 417 66 4 2 \n", - "4 : 6627 429 74 11 1 \n", - "5 : 6655 400 74 12 1 \n", - "6 : 6654 389 93 3 3 \n", - "7 : 6620 422 89 9 2 \n", - "8 : 6645 412 75 6 4 \n", - "9 : 6648 402 87 3 2 \n", - "10 : 6664 373 90 8 7 \n", - "11 : 6607 459 68 6 2 \n", - "12 : 6652 408 75 3 4 \n", - "13 : 6653 414 80 6 1 \n", + "0 : 6636 410 84 11 1 \n", + "1 : 6669 389 78 4 2 \n", + "2 : 6610 421 101 4 6 \n", + "3 : 6657 395 84 4 2 \n", + "4 : 6613 414 104 7 4 \n", + "5 : 6653 411 69 5 4 \n", + "6 : 6616 423 95 7 1 \n", + "7 : 6619 420 95 6 2 \n", + "8 : 6672 389 71 6 4 \n", + "9 : 6665 398 73 3 3 \n", + "10 : 6638 408 85 5 6 \n", + "11 : 6616 433 84 3 6 \n", + "12 : 6625 431 78 7 1 \n", + "13 : 6674 395 76 8 1 \n", "\n", - "T : 93018 5735 1130 83 34 [100000]\n", + "T : 92963 5737 1177 80 43 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 0.6%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.1217e-02 sec\n", - "--- Collate = 6.5425e-05 sec\n", + "--- Update = 3.6222e-03 sec\n", + "--- Collate = 2.5135e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.147328e-04 < 6.250000e-03 [14]\n", - "--- Max DT=3.048880e-01 > 1.000000e-01 [70304]\n", + "--- Min DT=5.502343e-04 < 6.250000e-03 [19]\n", + "--- Max DT=3.050117e-01 > 1.000000e-01 [70204]\n", "----------------------------------------------------------------------\n", - " Component | low: 14/100000\n", - " Component | high: 70304/100000\n", + " Component | low: 19/100000\n", + " Component | high: 70204/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.6] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000980899 [ 0.70 %]\n", - "Velocity : 0.0027706 [ 1.99 %]\n", - "Force : 0.0461706 [ 33.17 %]\n", - "Coefs : 0.0220989 [ 15.88 %]\n", - "Output : 0.00129591 [ 0.93 %]\n", - "Levels : 0.000267689 [ 0.19 %]\n", - "Report : 6.29e-07 [ 0.00 %]\n", - "Balance : 3.89e-07 [ 0.00 %]\n", - "Adjust : 0.0655507 [ 47.10 %]\n", - "Total : 0.139188 [100.00 %]\n", + "Drift : 0.0003133 [ 0.77 %]\n", + "Velocity : 0.000734111 [ 1.81 %]\n", + "Force : 0.0147925 [ 36.57 %]\n", + "Coefs : 0.00618617 [ 15.29 %]\n", + "Output : 0.000524843 [ 1.30 %]\n", + "Levels : 0.000113432 [ 0.28 %]\n", + "Report : 2.38e-07 [ 0.00 %]\n", + "Balance : 1.72e-07 [ 0.00 %]\n", + "Adjust : 0.017768 [ 43.93 %]\n", + "Total : 0.0404492 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6643 393 98 6 2 \n", - "1 : 6650 405 82 3 2 \n", - "2 : 6648 409 80 5 0 \n", - "3 : 6654 415 67 4 2 \n", - "4 : 6626 429 75 11 1 \n", - "5 : 6655 399 75 11 2 \n", - "6 : 6654 390 93 2 3 \n", - "7 : 6619 423 89 8 3 \n", - "8 : 6644 415 73 5 5 \n", - "9 : 6647 403 88 4 0 \n", - "10 : 6662 376 89 8 7 \n", - "11 : 6607 459 69 3 4 \n", - "12 : 6652 409 73 4 4 \n", - "13 : 6651 416 80 6 1 \n", + "0 : 6637 408 85 11 1 \n", + "1 : 6671 388 78 4 1 \n", + "2 : 6611 420 99 6 6 \n", + "3 : 6657 394 85 4 2 \n", + "4 : 6613 414 102 9 4 \n", + "5 : 6653 411 69 5 4 \n", + "6 : 6616 423 96 6 1 \n", + "7 : 6620 420 94 6 2 \n", + "8 : 6671 390 70 7 4 \n", + "9 : 6664 399 73 3 3 \n", + "10 : 6633 414 84 6 5 \n", + "11 : 6618 429 86 5 4 \n", + "12 : 6623 433 77 7 2 \n", + "13 : 6672 396 77 7 2 \n", "\n", - "T : 93012 5741 1131 80 36 [100000]\n", + "T : 92959 5739 1175 86 41 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.5%\n", + "--- Coef/DT = 0.4%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0253e-02 sec\n", - "--- Collate = 1.1419e-04 sec\n", + "--- Update = 3.6586e-03 sec\n", + "--- Collate = 2.8639e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.683615e-05 < 6.250000e-03 [12]\n", - "--- Max DT=3.048786e-01 > 1.000000e-01 [70302]\n", + "--- Min DT=2.470407e-04 < 6.250000e-03 [19]\n", + "--- Max DT=3.050131e-01 > 1.000000e-01 [70203]\n", "----------------------------------------------------------------------\n", - " Component | low: 12/100000\n", - " Component | high: 70302/100000\n", + " Component | low: 19/100000\n", + " Component | high: 70203/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.7] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000964219 [ 0.61 %]\n", - "Velocity : 0.00264333 [ 1.67 %]\n", - "Force : 0.0551485 [ 34.91 %]\n", - "Coefs : 0.0332607 [ 21.06 %]\n", - "Output : 0.00139797 [ 0.89 %]\n", - "Levels : 0.000230909 [ 0.15 %]\n", - "Report : 9.12e-07 [ 0.00 %]\n", - "Balance : 2.88e-07 [ 0.00 %]\n", - "Adjust : 0.0642663 [ 40.68 %]\n", - "Total : 0.157962 [100.00 %]\n", + "Drift : 0.000323158 [ 0.80 %]\n", + "Velocity : 0.000737896 [ 1.83 %]\n", + "Force : 0.0147669 [ 36.57 %]\n", + "Coefs : 0.00618398 [ 15.32 %]\n", + "Output : 0.000508025 [ 1.26 %]\n", + "Levels : 0.000109039 [ 0.27 %]\n", + "Report : 3.46e-07 [ 0.00 %]\n", + "Balance : 1.76e-07 [ 0.00 %]\n", + "Adjust : 0.0177287 [ 43.91 %]\n", + "Total : 0.0403743 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6644 392 98 6 2 \n", - "1 : 6651 404 81 4 2 \n", - "2 : 6648 409 80 5 0 \n", - "3 : 6654 415 67 4 2 \n", - "4 : 6627 428 75 10 2 \n", - "5 : 6655 399 75 10 3 \n", - "6 : 6654 390 93 3 2 \n", - "7 : 6619 423 89 8 3 \n", - "8 : 6645 412 75 4 6 \n", - "9 : 6645 405 88 4 0 \n", - "10 : 6661 376 91 8 6 \n", - "11 : 6607 459 69 4 3 \n", - "12 : 6652 409 73 4 4 \n", - "13 : 6651 417 78 7 1 \n", + "0 : 6637 409 84 9 3 \n", + "1 : 6671 389 76 5 1 \n", + "2 : 6611 420 99 7 5 \n", + "3 : 6658 393 86 3 2 \n", + "4 : 6614 412 103 9 4 \n", + "5 : 6652 412 69 5 4 \n", + "6 : 6618 421 96 6 1 \n", + "7 : 6619 421 94 6 2 \n", + "8 : 6670 391 70 8 3 \n", + "9 : 6663 401 71 5 2 \n", + "10 : 6635 413 83 6 5 \n", + "11 : 6618 428 87 4 5 \n", + "12 : 6624 431 78 8 1 \n", + "13 : 6672 396 77 7 2 \n", "\n", - "T : 93013 5738 1132 81 36 [100000]\n", + "T : 92962 5737 1173 88 40 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.9%\n", + "--- Coef/DT = 0.5%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0279e-02 sec\n", - "--- Collate = 8.5770e-05 sec\n", + "--- Update = 3.6344e-03 sec\n", + "--- Collate = 2.6263e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.204654e-04 < 6.250000e-03 [15]\n", - "--- Max DT=3.048690e-01 > 1.000000e-01 [70304]\n", + "--- Min DT=2.412495e-04 < 6.250000e-03 [23]\n", + "--- Max DT=3.050137e-01 > 1.000000e-01 [70199]\n", "----------------------------------------------------------------------\n", - " Component | low: 15/100000\n", - " Component | high: 70304/100000\n", + " Component | low: 23/100000\n", + " Component | high: 70199/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.8] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00100877 [ 0.74 %]\n", - "Velocity : 0.00247789 [ 1.83 %]\n", - "Force : 0.0501225 [ 36.95 %]\n", - "Coefs : 0.0189246 [ 13.95 %]\n", - "Output : 0.00133375 [ 0.98 %]\n", - "Levels : 0.000314968 [ 0.23 %]\n", - "Report : 7.02e-07 [ 0.00 %]\n", - "Balance : 3.18e-07 [ 0.00 %]\n", - "Adjust : 0.0614353 [ 45.29 %]\n", - "Total : 0.135663 [100.00 %]\n", + "Drift : 0.000323364 [ 0.80 %]\n", + "Velocity : 0.000742606 [ 1.83 %]\n", + "Force : 0.0148015 [ 36.47 %]\n", + "Coefs : 0.00622634 [ 15.34 %]\n", + "Output : 0.000526461 [ 1.30 %]\n", + "Levels : 0.000140111 [ 0.35 %]\n", + "Report : 4.11e-07 [ 0.00 %]\n", + "Balance : 1.68e-07 [ 0.00 %]\n", + "Adjust : 0.0178077 [ 43.88 %]\n", + "Total : 0.0405854 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6643 393 98 6 2 \n", - "1 : 6655 400 80 5 2 \n", - "2 : 6649 410 77 6 0 \n", - "3 : 6654 414 68 5 1 \n", - "4 : 6626 429 75 10 2 \n", - "5 : 6655 398 76 9 4 \n", - "6 : 6654 390 93 4 1 \n", - "7 : 6619 423 90 6 4 \n", - "8 : 6644 413 75 4 6 \n", - "9 : 6646 404 87 4 1 \n", - "10 : 6659 380 89 10 4 \n", - "11 : 6608 457 69 4 4 \n", - "12 : 6652 409 73 4 4 \n", - "13 : 6649 419 78 7 1 \n", + "0 : 6637 410 83 9 3 \n", + "1 : 6672 387 77 4 2 \n", + "2 : 6610 422 98 7 5 \n", + "3 : 6658 392 87 3 2 \n", + "4 : 6614 412 102 8 6 \n", + "5 : 6651 413 69 7 2 \n", + "6 : 6619 420 94 8 1 \n", + "7 : 6617 423 94 6 2 \n", + "8 : 6669 392 70 8 3 \n", + "9 : 6662 402 71 5 2 \n", + "10 : 6637 411 83 6 5 \n", + "11 : 6619 428 87 3 5 \n", + "12 : 6623 432 77 9 1 \n", + "13 : 6672 395 78 7 2 \n", "\n", - "T : 93013 5739 1128 84 36 [100000]\n", + "T : 92960 5739 1170 90 41 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 0.6%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 9.4909e-03 sec\n", - "--- Collate = 8.3923e-05 sec\n", + "--- Update = 3.5436e-03 sec\n", + "--- Collate = 2.4149e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.832374e-05 < 6.250000e-03 [21]\n", - "--- Max DT=3.048593e-01 > 1.000000e-01 [70307]\n", + "--- Min DT=8.880460e-05 < 6.250000e-03 [21]\n", + "--- Max DT=3.050144e-01 > 1.000000e-01 [70212]\n", "----------------------------------------------------------------------\n", " Component | low: 21/100000\n", - " Component | high: 70307/100000\n", + " Component | high: 70212/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=0.9] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00100673 [ 0.76 %]\n", - "Velocity : 0.00260794 [ 1.96 %]\n", - "Force : 0.0476256 [ 35.72 %]\n", - "Coefs : 0.0191488 [ 14.36 %]\n", - "Output : 0.00118071 [ 0.89 %]\n", - "Levels : 0.000234222 [ 0.18 %]\n", - "Report : 8.69e-07 [ 0.00 %]\n", - "Balance : 3.2e-07 [ 0.00 %]\n", - "Adjust : 0.0614774 [ 46.11 %]\n", - "Total : 0.133329 [100.00 %]\n", + "Drift : 0.000314311 [ 0.78 %]\n", + "Velocity : 0.000728752 [ 1.80 %]\n", + "Force : 0.0148499 [ 36.75 %]\n", + "Coefs : 0.00614095 [ 15.20 %]\n", + "Output : 0.000513794 [ 1.27 %]\n", + "Levels : 0.000105417 [ 0.26 %]\n", + "Report : 1.8e-07 [ 0.00 %]\n", + "Balance : 1.79e-07 [ 0.00 %]\n", + "Adjust : 0.0177337 [ 43.89 %]\n", + "Total : 0.0404029 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6643 393 98 5 3 \n", - "1 : 6654 401 79 6 2 \n", - "2 : 6649 409 79 5 0 \n", - "3 : 6654 414 67 5 2 \n", - "4 : 6626 429 74 11 2 \n", - "5 : 6656 396 77 10 3 \n", - "6 : 6655 389 93 4 1 \n", - "7 : 6620 422 91 6 3 \n", - "8 : 6645 411 76 5 5 \n", - "9 : 6645 407 85 3 2 \n", - "10 : 6661 378 88 10 5 \n", - "11 : 6606 458 70 3 5 \n", - "12 : 6653 407 74 4 4 \n", - "13 : 6649 418 80 7 0 \n", + "0 : 6637 410 85 7 3 \n", + "1 : 6672 387 77 4 2 \n", + "2 : 6609 424 97 8 4 \n", + "3 : 6658 392 86 4 2 \n", + "4 : 6615 411 102 6 8 \n", + "5 : 6653 412 68 7 2 \n", + "6 : 6618 421 94 8 1 \n", + "7 : 6616 424 94 6 2 \n", + "8 : 6670 391 71 8 2 \n", + "9 : 6663 400 72 4 3 \n", + "10 : 6636 412 83 7 4 \n", + "11 : 6619 429 86 2 6 \n", + "12 : 6624 429 80 8 1 \n", + "13 : 6673 394 78 6 3 \n", "\n", - "T : 93016 5732 1131 84 37 [100000]\n", + "T : 92963 5736 1173 85 43 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.6%\n", + "--- Coef/DT = 0.5%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0540e-02 sec\n", - "--- Collate = 7.1337e-05 sec\n", + "--- Update = 3.6426e-03 sec\n", + "--- Collate = 2.4937e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.300623e-05 < 6.250000e-03 [19]\n", - "--- Max DT=3.048501e-01 > 1.000000e-01 [70307]\n", + "--- Min DT=4.290811e-04 < 6.250000e-03 [23]\n", + "--- Max DT=3.050155e-01 > 1.000000e-01 [70223]\n", "----------------------------------------------------------------------\n", - " Component | low: 19/100000\n", - " Component | high: 70307/100000\n", + " Component | low: 23/100000\n", + " Component | high: 70223/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=1] -------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000694765 [ 0.49 %]\n", - "Velocity : 0.00211764 [ 1.50 %]\n", - "Force : 0.0541702 [ 38.42 %]\n", - "Coefs : 0.021166 [ 15.01 %]\n", - "Output : 0.00736635 [ 5.22 %]\n", - "Levels : 0.000255374 [ 0.18 %]\n", - "Report : 9.7e-07 [ 0.00 %]\n", - "Balance : 6e-07 [ 0.00 %]\n", - "Adjust : 0.0551899 [ 39.14 %]\n", - "Total : 0.141008 [100.00 %]\n", + "Drift : 0.000312347 [ 0.72 %]\n", + "Velocity : 0.000726349 [ 1.68 %]\n", + "Force : 0.0151448 [ 35.07 %]\n", + "Coefs : 0.00615446 [ 14.25 %]\n", + "Output : 0.00278749 [ 6.45 %]\n", + "Levels : 0.000117124 [ 0.27 %]\n", + "Report : 4.43e-07 [ 0.00 %]\n", + "Balance : 2.29e-07 [ 0.00 %]\n", + "Adjust : 0.0179268 [ 41.51 %]\n", + "Total : 0.0431873 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6644 392 97 6 3 \n", - "1 : 6654 400 79 7 2 \n", - "2 : 6649 408 79 6 0 \n", - "3 : 6653 415 65 6 3 \n", - "4 : 6624 431 75 8 4 \n", - "5 : 6656 395 78 10 3 \n", - "6 : 6655 389 94 3 1 \n", - "7 : 6620 422 92 4 4 \n", - "8 : 6644 412 73 7 6 \n", - "9 : 6645 407 85 3 2 \n", - "10 : 6660 382 86 8 6 \n", - "11 : 6605 459 71 2 5 \n", - "12 : 6652 407 76 4 3 \n", - "13 : 6649 418 79 7 1 \n", + "0 : 6639 408 85 7 3 \n", + "1 : 6671 388 77 4 2 \n", + "2 : 6609 423 100 6 4 \n", + "3 : 6658 392 86 4 2 \n", + "4 : 6615 409 104 6 8 \n", + "5 : 6651 414 68 8 1 \n", + "6 : 6619 419 95 8 1 \n", + "7 : 6615 424 95 6 2 \n", + "8 : 6672 386 75 6 3 \n", + "9 : 6662 401 72 4 3 \n", + "10 : 6638 411 83 6 4 \n", + "11 : 6619 429 86 2 6 \n", + "12 : 6624 429 80 8 1 \n", + "13 : 6672 395 79 5 3 \n", "\n", - "T : 93010 5737 1129 81 43 [100000]\n", + "T : 92964 5728 1185 80 43 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.7%\n", + "--- Coef/DT = 0.5%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.6485e-02 sec\n", - "--- Collate = 8.2182e-05 sec\n", + "--- Update = 3.6120e-03 sec\n", + "--- Collate = 2.5969e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.122244e-05 < 6.250000e-03 [27]\n", - "--- Max DT=3.048402e-01 > 1.000000e-01 [70313]\n", + "--- Min DT=1.460875e-04 < 6.250000e-03 [23]\n", + "--- Max DT=3.050164e-01 > 1.000000e-01 [70220]\n", "----------------------------------------------------------------------\n", - " Component | low: 27/100000\n", - " Component | high: 70313/100000\n", + " Component | low: 23/100000\n", + " Component | high: 70220/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=1.1] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000952366 [ 0.66 %]\n", - "Velocity : 0.00261359 [ 1.82 %]\n", - "Force : 0.0486376 [ 33.78 %]\n", - "Coefs : 0.0216746 [ 15.05 %]\n", - "Output : 0.0012452 [ 0.86 %]\n", - "Levels : 0.000254062 [ 0.18 %]\n", - "Report : 6.77e-07 [ 0.00 %]\n", - "Balance : 3.44e-07 [ 0.00 %]\n", - "Adjust : 0.068576 [ 47.62 %]\n", - "Total : 0.143999 [100.00 %]\n", + "Drift : 0.000310875 [ 0.76 %]\n", + "Velocity : 0.00071986 [ 1.76 %]\n", + "Force : 0.0149084 [ 36.44 %]\n", + "Coefs : 0.00645641 [ 15.78 %]\n", + "Output : 0.000543585 [ 1.33 %]\n", + "Levels : 0.000116013 [ 0.28 %]\n", + "Report : 3.25e-07 [ 0.00 %]\n", + "Balance : 1.59e-07 [ 0.00 %]\n", + "Adjust : 0.017835 [ 43.60 %]\n", + "Total : 0.0409069 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6643 393 97 6 3 \n", - "1 : 6654 400 79 8 1 \n", - "2 : 6649 408 79 6 0 \n", - "3 : 6653 414 66 6 3 \n", - "4 : 6622 434 75 8 3 \n", - "5 : 6656 394 80 9 3 \n", - "6 : 6656 388 93 4 1 \n", - "7 : 6620 423 91 4 4 \n", - "8 : 6644 412 73 6 7 \n", - "9 : 6646 407 84 3 2 \n", - "10 : 6660 383 85 7 7 \n", - "11 : 6605 459 71 2 5 \n", - "12 : 6653 405 78 3 3 \n", - "13 : 6647 420 79 5 3 \n", + "0 : 6641 407 85 6 3 \n", + "1 : 6670 389 77 3 3 \n", + "2 : 6612 422 98 5 5 \n", + "3 : 6657 395 85 4 1 \n", + "4 : 6616 408 104 6 8 \n", + "5 : 6650 415 68 8 1 \n", + "6 : 6619 419 96 6 2 \n", + "7 : 6614 425 96 5 2 \n", + "8 : 6671 387 76 5 3 \n", + "9 : 6662 401 72 4 3 \n", + "10 : 6641 408 83 4 6 \n", + "11 : 6618 430 85 3 6 \n", + "12 : 6624 429 82 5 2 \n", + "13 : 6674 393 79 6 2 \n", "\n", - "T : 93008 5740 1130 77 45 [100000]\n", + "T : 92969 5728 1186 70 47 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.5%\n", + "--- Coef/DT = 0.6%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.1017e-02 sec\n", - "--- Collate = 1.1338e-04 sec\n", + "--- Update = 3.6860e-03 sec\n", + "--- Collate = 2.4880e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.320921e-05 < 6.250000e-03 [29]\n", - "--- Max DT=3.048314e-01 > 1.000000e-01 [70320]\n", + "--- Min DT=2.791302e-04 < 6.250000e-03 [21]\n", + "--- Max DT=3.050172e-01 > 1.000000e-01 [70230]\n", "----------------------------------------------------------------------\n", - " Component | low: 29/100000\n", - " Component | high: 70320/100000\n", + " Component | low: 21/100000\n", + " Component | high: 70230/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=1.2] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000963067 [ 0.68 %]\n", - "Velocity : 0.00261883 [ 1.85 %]\n", - "Force : 0.0516286 [ 36.38 %]\n", - "Coefs : 0.0184083 [ 12.97 %]\n", - "Output : 0.00140111 [ 0.99 %]\n", - "Levels : 0.000300017 [ 0.21 %]\n", - "Report : 8.52e-07 [ 0.00 %]\n", - "Balance : 3.55e-07 [ 0.00 %]\n", - "Adjust : 0.066548 [ 46.89 %]\n", - "Total : 0.141916 [100.00 %]\n", + "Drift : 0.000321175 [ 0.79 %]\n", + "Velocity : 0.000741902 [ 1.82 %]\n", + "Force : 0.0147934 [ 36.20 %]\n", + "Coefs : 0.0064186 [ 15.71 %]\n", + "Output : 0.000520263 [ 1.27 %]\n", + "Levels : 0.000179488 [ 0.44 %]\n", + "Report : 2.08e-07 [ 0.00 %]\n", + "Balance : 1.62e-07 [ 0.00 %]\n", + "Adjust : 0.0178696 [ 43.73 %]\n", + "Total : 0.0408603 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6644 390 99 6 3 \n", - "1 : 6653 401 78 9 1 \n", - "2 : 6647 410 79 6 0 \n", - "3 : 6653 414 66 6 3 \n", - "4 : 6622 435 75 7 3 \n", - "5 : 6656 395 78 10 3 \n", - "6 : 6656 387 95 4 0 \n", - "7 : 6621 422 92 2 5 \n", - "8 : 6644 412 73 7 6 \n", - "9 : 6642 410 85 3 2 \n", - "10 : 6660 384 84 7 7 \n", - "11 : 6606 457 72 2 5 \n", - "12 : 6654 403 78 4 3 \n", - "13 : 6646 421 79 5 3 \n", + "0 : 6640 407 85 7 3 \n", + "1 : 6673 385 77 3 4 \n", + "2 : 6611 422 99 4 6 \n", + "3 : 6657 395 85 4 1 \n", + "4 : 6616 408 104 7 7 \n", + "5 : 6650 415 68 8 1 \n", + "6 : 6621 417 95 7 2 \n", + "7 : 6616 426 92 7 1 \n", + "8 : 6672 385 77 4 4 \n", + "9 : 6662 401 71 5 3 \n", + "10 : 6641 408 82 5 6 \n", + "11 : 6618 430 85 3 6 \n", + "12 : 6623 429 83 5 2 \n", + "13 : 6672 395 79 6 2 \n", "\n", - "T : 93004 5741 1133 78 44 [100000]\n", + "T : 92972 5723 1182 75 48 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.7%\n", + "--- Coef/DT = 0.4%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.5152e-02 sec\n", - "--- Collate = 6.7120e-05 sec\n", + "--- Update = 3.5638e-03 sec\n", + "--- Collate = 2.5251e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.410363e-06 < 6.250000e-03 [27]\n", - "--- Max DT=3.048273e-01 > 1.000000e-01 [70317]\n", + "--- Min DT=4.767797e-04 < 6.250000e-03 [19]\n", + "--- Max DT=3.050182e-01 > 1.000000e-01 [70239]\n", "----------------------------------------------------------------------\n", - " Component | low: 27/100000\n", - " Component | high: 70317/100000\n", + " Component | low: 19/100000\n", + " Component | high: 70239/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=1.3] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000909509 [ 0.63 %]\n", - "Velocity : 0.00260855 [ 1.81 %]\n", - "Force : 0.0502815 [ 34.86 %]\n", - "Coefs : 0.0268001 [ 18.58 %]\n", - "Output : 0.00131006 [ 0.91 %]\n", - "Levels : 0.000268945 [ 0.19 %]\n", - "Report : 9.43e-07 [ 0.00 %]\n", - "Balance : 3.45e-07 [ 0.00 %]\n", - "Adjust : 0.0620296 [ 43.00 %]\n", - "Total : 0.144254 [100.00 %]\n", + "Drift : 0.000337791 [ 0.83 %]\n", + "Velocity : 0.000738815 [ 1.82 %]\n", + "Force : 0.0148656 [ 36.60 %]\n", + "Coefs : 0.00620597 [ 15.28 %]\n", + "Output : 0.000518396 [ 1.28 %]\n", + "Levels : 0.000119403 [ 0.29 %]\n", + "Report : 3.55e-07 [ 0.00 %]\n", + "Balance : 1.75e-07 [ 0.00 %]\n", + "Adjust : 0.0178171 [ 43.86 %]\n", + "Total : 0.0406197 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6644 391 98 6 3 \n", - "1 : 6652 402 78 9 1 \n", - "2 : 6645 413 78 6 0 \n", - "3 : 6654 413 66 6 3 \n", - "4 : 6621 436 75 7 3 \n", - "5 : 6655 395 79 6 7 \n", - "6 : 6657 386 95 4 0 \n", - "7 : 6621 423 90 4 4 \n", - "8 : 6644 413 72 7 6 \n", - "9 : 6640 412 85 3 2 \n", - "10 : 6659 385 84 7 7 \n", - "11 : 6608 455 72 2 5 \n", - "12 : 6653 404 78 5 2 \n", - "13 : 6647 420 79 5 3 \n", + "0 : 6640 407 86 6 3 \n", + "1 : 6673 386 76 3 4 \n", + "2 : 6612 422 97 6 5 \n", + "3 : 6657 395 85 4 1 \n", + "4 : 6615 408 105 6 8 \n", + "5 : 6650 417 66 6 3 \n", + "6 : 6620 417 96 7 2 \n", + "7 : 6615 428 91 8 0 \n", + "8 : 6670 387 77 4 4 \n", + "9 : 6660 402 72 5 3 \n", + "10 : 6640 409 82 5 6 \n", + "11 : 6617 431 85 4 5 \n", + "12 : 6623 428 85 4 2 \n", + "13 : 6673 396 78 5 2 \n", "\n", - "T : 93000 5748 1129 77 46 [100000]\n", + "T : 92965 5733 1181 73 48 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.8%\n", + "--- Coef/DT = 0.4%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.3387e-02 sec\n", - "--- Collate = 6.8487e-05 sec\n", + "--- Update = 3.6557e-03 sec\n", + "--- Collate = 2.5202e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.210129e-04 < 6.250000e-03 [23]\n", - "--- Max DT=3.048411e-01 > 1.000000e-01 [70310]\n", + "--- Min DT=1.718195e-05 < 6.250000e-03 [22]\n", + "--- Max DT=3.050191e-01 > 1.000000e-01 [70238]\n", "----------------------------------------------------------------------\n", - " Component | low: 23/100000\n", - " Component | high: 70310/100000\n", + " Component | low: 22/100000\n", + " Component | high: 70238/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=1.4] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000946252 [ 0.71 %]\n", - "Velocity : 0.00305555 [ 2.28 %]\n", - "Force : 0.0494457 [ 36.96 %]\n", - "Coefs : 0.0169209 [ 12.65 %]\n", - "Output : 0.00134259 [ 1.00 %]\n", - "Levels : 0.000240114 [ 0.18 %]\n", - "Report : 7.95e-07 [ 0.00 %]\n", - "Balance : 3.12e-07 [ 0.00 %]\n", - "Adjust : 0.061777 [ 46.18 %]\n", - "Total : 0.133776 [100.00 %]\n", + "Drift : 0.000312761 [ 0.77 %]\n", + "Velocity : 0.000704676 [ 1.74 %]\n", + "Force : 0.0149268 [ 36.76 %]\n", + "Coefs : 0.00619818 [ 15.26 %]\n", + "Output : 0.000510995 [ 1.26 %]\n", + "Levels : 0.000110718 [ 0.27 %]\n", + "Report : 2.15e-07 [ 0.00 %]\n", + "Balance : 1.59e-07 [ 0.00 %]\n", + "Adjust : 0.0178246 [ 43.90 %]\n", + "Total : 0.0406049 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6643 392 98 5 4 \n", - "1 : 6653 402 78 7 2 \n", - "2 : 6643 416 77 6 0 \n", - "3 : 6651 413 70 6 2 \n", - "4 : 6620 437 74 8 3 \n", - "5 : 6655 397 77 7 6 \n", - "6 : 6656 386 95 5 0 \n", - "7 : 6621 422 89 7 3 \n", - "8 : 6645 411 73 4 9 \n", - "9 : 6641 410 86 3 2 \n", - "10 : 6661 383 83 6 9 \n", - "11 : 6606 457 71 4 4 \n", - "12 : 6653 404 78 4 3 \n", - "13 : 6648 421 77 5 3 \n", + "0 : 6642 405 84 8 3 \n", + "1 : 6674 384 77 3 4 \n", + "2 : 6613 421 98 8 2 \n", + "3 : 6657 395 84 5 1 \n", + "4 : 6616 407 106 5 8 \n", + "5 : 6650 417 66 5 4 \n", + "6 : 6619 418 96 7 2 \n", + "7 : 6616 427 91 8 0 \n", + "8 : 6672 387 75 5 3 \n", + "9 : 6661 401 72 5 3 \n", + "10 : 6640 409 82 5 6 \n", + "11 : 6617 429 87 4 5 \n", + "12 : 6625 426 85 4 2 \n", + "13 : 6675 395 77 5 2 \n", "\n", - "T : 92996 5751 1126 77 50 [100000]\n", + "T : 92977 5721 1180 77 45 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.6%\n", + "--- Coef/DT = 0.4%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 9.9335e-03 sec\n", - "--- Collate = 7.0485e-05 sec\n", + "--- Update = 3.6156e-03 sec\n", + "--- Collate = 2.2783e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.495092e-04 < 6.250000e-03 [26]\n", - "--- Max DT=3.048547e-01 > 1.000000e-01 [70310]\n", + "--- Min DT=1.612349e-04 < 6.250000e-03 [23]\n", + "--- Max DT=3.050205e-01 > 1.000000e-01 [70236]\n", "----------------------------------------------------------------------\n", - " Component | low: 26/100000\n", - " Component | high: 70310/100000\n", + " Component | low: 23/100000\n", + " Component | high: 70236/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=1.5] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000623595 [ 0.51 %]\n", - "Velocity : 0.00203558 [ 1.67 %]\n", - "Force : 0.0444446 [ 36.46 %]\n", - "Coefs : 0.0176248 [ 14.46 %]\n", - "Output : 0.00128009 [ 1.05 %]\n", - "Levels : 0.00023113 [ 0.19 %]\n", - "Report : 7.98e-07 [ 0.00 %]\n", - "Balance : 3.38e-07 [ 0.00 %]\n", - "Adjust : 0.0556255 [ 45.63 %]\n", - "Total : 0.121911 [100.00 %]\n", + "Drift : 0.000324932 [ 0.80 %]\n", + "Velocity : 0.00074038 [ 1.82 %]\n", + "Force : 0.0148607 [ 36.47 %]\n", + "Coefs : 0.00624723 [ 15.33 %]\n", + "Output : 0.000525662 [ 1.29 %]\n", + "Levels : 0.000109517 [ 0.27 %]\n", + "Report : 2.28e-07 [ 0.00 %]\n", + "Balance : 1.73e-07 [ 0.00 %]\n", + "Adjust : 0.0179264 [ 43.99 %]\n", + "Total : 0.0407514 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6642 393 98 5 4 \n", - "1 : 6652 403 78 7 2 \n", - "2 : 6643 416 77 6 0 \n", - "3 : 6651 413 70 6 2 \n", - "4 : 6620 436 75 7 4 \n", - "5 : 6655 397 77 7 6 \n", - "6 : 6657 385 95 5 0 \n", - "7 : 6621 422 88 8 3 \n", - "8 : 6644 413 72 2 11 \n", - "9 : 6641 410 86 3 2 \n", - "10 : 6658 387 82 5 10 \n", - "11 : 6606 457 71 3 5 \n", - "12 : 6653 403 78 5 3 \n", - "13 : 6649 422 75 5 3 \n", + "0 : 6642 404 84 9 3 \n", + "1 : 6672 386 77 3 4 \n", + "2 : 6612 422 98 8 2 \n", + "3 : 6657 394 85 6 0 \n", + "4 : 6617 406 106 5 8 \n", + "5 : 6650 418 64 6 4 \n", + "6 : 6617 419 98 6 2 \n", + "7 : 6616 427 90 8 1 \n", + "8 : 6670 389 76 4 3 \n", + "9 : 6660 402 73 3 4 \n", + "10 : 6640 408 82 5 7 \n", + "11 : 6617 429 87 5 4 \n", + "12 : 6625 426 84 5 2 \n", + "13 : 6674 395 76 7 2 \n", "\n", - "T : 92992 5757 1122 74 55 [100000]\n", + "T : 92969 5725 1180 80 46 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.9%\n", + "--- Coef/DT = 0.5%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 9.3157e-03 sec\n", - "--- Collate = 8.1880e-05 sec\n", + "--- Update = 3.5836e-03 sec\n", + "--- Collate = 2.3668e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.608235e-04 < 6.250000e-03 [31]\n", - "--- Max DT=3.048682e-01 > 1.000000e-01 [70310]\n", + "--- Min DT=9.213346e-05 < 6.250000e-03 [22]\n", + "--- Max DT=3.050210e-01 > 1.000000e-01 [70240]\n", "----------------------------------------------------------------------\n", - " Component | low: 31/100000\n", - " Component | high: 70310/100000\n", + " Component | low: 22/100000\n", + " Component | high: 70240/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=1.6] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000952837 [ 0.76 %]\n", - "Velocity : 0.00239695 [ 1.91 %]\n", - "Force : 0.0463806 [ 36.88 %]\n", - "Coefs : 0.0167882 [ 13.35 %]\n", - "Output : 0.00125515 [ 1.00 %]\n", - "Levels : 0.000232916 [ 0.19 %]\n", - "Report : 6.15e-07 [ 0.00 %]\n", - "Balance : 3.39e-07 [ 0.00 %]\n", - "Adjust : 0.0577153 [ 45.89 %]\n", - "Total : 0.125772 [100.00 %]\n", + "Drift : 0.000320057 [ 0.79 %]\n", + "Velocity : 0.000739 [ 1.82 %]\n", + "Force : 0.0148549 [ 36.63 %]\n", + "Coefs : 0.00626353 [ 15.44 %]\n", + "Output : 0.000524661 [ 1.29 %]\n", + "Levels : 0.000108258 [ 0.27 %]\n", + "Report : 1.96e-07 [ 0.00 %]\n", + "Balance : 1.61e-07 [ 0.00 %]\n", + "Adjust : 0.0177273 [ 43.71 %]\n", + "Total : 0.040554 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6642 393 98 5 4 \n", - "1 : 6652 403 77 7 3 \n", - "2 : 6643 416 78 5 0 \n", - "3 : 6652 412 70 6 2 \n", - "4 : 6621 434 76 8 3 \n", - "5 : 6653 398 79 5 7 \n", - "6 : 6658 384 94 6 0 \n", - "7 : 6620 423 87 8 4 \n", - "8 : 6645 414 70 3 10 \n", - "9 : 6642 408 88 2 2 \n", - "10 : 6658 387 83 5 9 \n", - "11 : 6608 456 71 3 4 \n", - "12 : 6654 402 78 4 4 \n", - "13 : 6649 421 76 5 3 \n", + "0 : 6643 403 85 6 5 \n", + "1 : 6672 386 77 2 5 \n", + "2 : 6617 418 96 8 3 \n", + "3 : 6656 395 85 5 1 \n", + "4 : 6617 406 107 5 7 \n", + "5 : 6650 417 65 7 3 \n", + "6 : 6617 419 97 7 2 \n", + "7 : 6615 428 89 9 1 \n", + "8 : 6670 390 74 5 3 \n", + "9 : 6661 400 75 3 3 \n", + "10 : 6642 406 82 6 6 \n", + "11 : 6617 430 86 5 4 \n", + "12 : 6626 426 83 6 1 \n", + "13 : 6673 396 77 6 2 \n", "\n", - "T : 92997 5751 1125 72 55 [100000]\n", + "T : 92976 5720 1178 80 46 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.0%\n", + "--- Coef/DT = 0.6%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.1250e-02 sec\n", - "--- Collate = 9.0549e-05 sec\n", + "--- Update = 3.6567e-03 sec\n", + "--- Collate = 2.4742e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.613992e-05 < 6.250000e-03 [23]\n", - "--- Max DT=3.048818e-01 > 1.000000e-01 [70309]\n", + "--- Min DT=8.312211e-05 < 6.250000e-03 [25]\n", + "--- Max DT=3.050219e-01 > 1.000000e-01 [70241]\n", "----------------------------------------------------------------------\n", - " Component | low: 23/100000\n", - " Component | high: 70309/100000\n", + " Component | low: 25/100000\n", + " Component | high: 70241/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=1.7] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0008167 [ 0.63 %]\n", - "Velocity : 0.00260674 [ 2.02 %]\n", - "Force : 0.0480697 [ 37.17 %]\n", - "Coefs : 0.0177917 [ 13.76 %]\n", - "Output : 0.00133439 [ 1.03 %]\n", - "Levels : 0.000289287 [ 0.22 %]\n", - "Report : 9.37e-07 [ 0.00 %]\n", - "Balance : 3.17e-07 [ 0.00 %]\n", - "Adjust : 0.0583327 [ 45.11 %]\n", - "Total : 0.129323 [100.00 %]\n", + "Drift : 0.000309688 [ 0.76 %]\n", + "Velocity : 0.000731535 [ 1.79 %]\n", + "Force : 0.0148798 [ 36.44 %]\n", + "Coefs : 0.00625929 [ 15.33 %]\n", + "Output : 0.000533162 [ 1.31 %]\n", + "Levels : 0.00013057 [ 0.32 %]\n", + "Report : 1.95e-07 [ 0.00 %]\n", + "Balance : 1.61e-07 [ 0.00 %]\n", + "Adjust : 0.0179791 [ 44.02 %]\n", + "Total : 0.0408393 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6643 393 97 6 3 \n", - "1 : 6653 402 78 6 3 \n", - "2 : 6643 416 78 4 1 \n", - "3 : 6652 413 69 6 2 \n", - "4 : 6622 435 75 6 4 \n", - "5 : 6652 398 80 7 5 \n", - "6 : 6659 383 94 4 2 \n", - "7 : 6620 422 88 7 5 \n", - "8 : 6648 411 70 3 10 \n", - "9 : 6643 405 90 3 1 \n", - "10 : 6658 387 83 5 9 \n", - "11 : 6607 457 71 5 2 \n", - "12 : 6652 403 79 2 6 \n", - "13 : 6647 421 77 5 4 \n", + "0 : 6643 403 85 8 3 \n", + "1 : 6672 385 76 3 6 \n", + "2 : 6616 418 96 9 3 \n", + "3 : 6655 395 85 6 1 \n", + "4 : 6615 408 107 6 6 \n", + "5 : 6650 416 66 6 4 \n", + "6 : 6617 418 99 6 2 \n", + "7 : 6614 430 89 7 2 \n", + "8 : 6670 390 73 6 3 \n", + "9 : 6659 402 74 4 3 \n", + "10 : 6640 408 82 6 6 \n", + "11 : 6616 431 86 5 4 \n", + "12 : 6627 426 80 8 1 \n", + "13 : 6673 396 78 5 2 \n", "\n", - "T : 92999 5746 1129 69 57 [100000]\n", + "T : 92967 5726 1176 85 46 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.5%\n", + "--- Coef/DT = 0.4%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.1532e-02 sec\n", - "--- Collate = 5.4728e-05 sec\n", + "--- Update = 3.5238e-03 sec\n", + "--- Collate = 2.3822e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.365552e-04 < 6.250000e-03 [25]\n", - "--- Max DT=3.048950e-01 > 1.000000e-01 [70313]\n", + "--- Min DT=3.110835e-05 < 6.250000e-03 [23]\n", + "--- Max DT=3.050229e-01 > 1.000000e-01 [70250]\n", "----------------------------------------------------------------------\n", - " Component | low: 25/100000\n", - " Component | high: 70313/100000\n", + " Component | low: 23/100000\n", + " Component | high: 70250/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=1.8] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00082853 [ 0.62 %]\n", - "Velocity : 0.00204836 [ 1.53 %]\n", - "Force : 0.0508573 [ 37.93 %]\n", - "Coefs : 0.020529 [ 15.31 %]\n", - "Output : 0.00133769 [ 1.00 %]\n", - "Levels : 0.000243251 [ 0.18 %]\n", - "Report : 7.24e-07 [ 0.00 %]\n", - "Balance : 3.64e-07 [ 0.00 %]\n", - "Adjust : 0.0581834 [ 43.40 %]\n", - "Total : 0.134078 [100.00 %]\n", + "Drift : 0.000309323 [ 0.76 %]\n", + "Velocity : 0.000781569 [ 1.92 %]\n", + "Force : 0.0149052 [ 36.66 %]\n", + "Coefs : 0.00624414 [ 15.36 %]\n", + "Output : 0.00052856 [ 1.30 %]\n", + "Levels : 0.000107533 [ 0.26 %]\n", + "Report : 3.12e-07 [ 0.00 %]\n", + "Balance : 1.61e-07 [ 0.00 %]\n", + "Adjust : 0.0177652 [ 43.69 %]\n", + "Total : 0.0406577 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6646 390 98 5 3 \n", - "1 : 6653 403 77 6 3 \n", - "2 : 6643 417 78 2 2 \n", - "3 : 6654 411 71 5 1 \n", - "4 : 6620 437 74 7 4 \n", - "5 : 6652 398 81 7 4 \n", - "6 : 6660 383 93 3 3 \n", - "7 : 6621 421 87 8 5 \n", - "8 : 6648 411 70 2 11 \n", - "9 : 6642 406 90 4 0 \n", - "10 : 6658 387 84 5 8 \n", - "11 : 6607 457 70 5 3 \n", - "12 : 6652 401 81 2 6 \n", - "13 : 6649 419 79 3 4 \n", + "0 : 6643 401 87 8 3 \n", + "1 : 6673 384 76 3 6 \n", + "2 : 6614 420 97 8 3 \n", + "3 : 6653 397 85 5 2 \n", + "4 : 6614 409 106 7 6 \n", + "5 : 6652 414 66 6 4 \n", + "6 : 6618 417 100 5 2 \n", + "7 : 6613 431 89 7 2 \n", + "8 : 6669 391 72 7 3 \n", + "9 : 6659 402 74 5 2 \n", + "10 : 6638 411 82 8 3 \n", + "11 : 6617 430 85 7 3 \n", + "12 : 6627 426 80 8 1 \n", + "13 : 6672 397 78 5 2 \n", "\n", - "T : 93005 5741 1133 64 57 [100000]\n", + "T : 92962 5730 1177 89 42 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.7%\n", + "--- Coef/DT = 0.5%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0352e-02 sec\n", - "--- Collate = 5.4828e-05 sec\n", + "--- Update = 3.6259e-03 sec\n", + "--- Collate = 2.6493e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.383124e-05 < 6.250000e-03 [28]\n", - "--- Max DT=3.049082e-01 > 1.000000e-01 [70311]\n", + "--- Min DT=9.397990e-05 < 6.250000e-03 [25]\n", + "--- Max DT=3.050238e-01 > 1.000000e-01 [70246]\n", "----------------------------------------------------------------------\n", - " Component | low: 28/100000\n", - " Component | high: 70311/100000\n", + " Component | low: 25/100000\n", + " Component | high: 70246/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=1.9] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000963082 [ 0.72 %]\n", - "Velocity : 0.0021193 [ 1.59 %]\n", - "Force : 0.0532452 [ 40.01 %]\n", - "Coefs : 0.0190635 [ 14.32 %]\n", - "Output : 0.00125613 [ 0.94 %]\n", - "Levels : 0.000207455 [ 0.16 %]\n", - "Report : 6.08e-07 [ 0.00 %]\n", - "Balance : 3.17e-07 [ 0.00 %]\n", - "Adjust : 0.0561793 [ 42.21 %]\n", - "Total : 0.13308 [100.00 %]\n", + "Drift : 0.000323238 [ 0.78 %]\n", + "Velocity : 0.000732672 [ 1.77 %]\n", + "Force : 0.0153962 [ 37.17 %]\n", + "Coefs : 0.00627509 [ 15.15 %]\n", + "Output : 0.000536685 [ 1.30 %]\n", + "Levels : 0.000116354 [ 0.28 %]\n", + "Report : 1.66e-07 [ 0.00 %]\n", + "Balance : 1.63e-07 [ 0.00 %]\n", + "Adjust : 0.018026 [ 43.52 %]\n", + "Total : 0.0414216 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6645 390 99 5 3 \n", - "1 : 6652 404 78 5 3 \n", - "2 : 6644 416 76 4 2 \n", - "3 : 6654 412 70 5 1 \n", - "4 : 6619 438 73 8 4 \n", - "5 : 6652 397 83 6 4 \n", - "6 : 6660 383 93 3 3 \n", - "7 : 6619 424 86 7 6 \n", - "8 : 6649 411 68 5 9 \n", - "9 : 6643 404 91 4 0 \n", - "10 : 6658 387 84 7 6 \n", - "11 : 6606 458 70 5 3 \n", - "12 : 6651 402 81 3 5 \n", - "13 : 6648 420 79 3 4 \n", + "0 : 6646 398 87 8 3 \n", + "1 : 6672 384 77 4 5 \n", + "2 : 6615 419 97 7 4 \n", + "3 : 6652 398 85 5 2 \n", + "4 : 6613 409 108 6 6 \n", + "5 : 6651 414 67 6 4 \n", + "6 : 6618 418 99 5 2 \n", + "7 : 6615 430 90 5 2 \n", + "8 : 6670 390 72 7 3 \n", + "9 : 6659 402 74 4 3 \n", + "10 : 6639 410 83 7 3 \n", + "11 : 6619 429 84 7 3 \n", + "12 : 6627 425 81 8 1 \n", + "13 : 6672 397 78 4 3 \n", "\n", - "T : 93000 5746 1131 70 53 [100000]\n", + "T : 92968 5723 1182 83 44 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.7%\n", + "--- Coef/DT = 0.5%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.1305e-02 sec\n", - "--- Collate = 9.5091e-05 sec\n", + "--- Update = 3.5748e-03 sec\n", + "--- Collate = 2.2491e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.012829e-05 < 6.250000e-03 [26]\n", - "--- Max DT=3.049211e-01 > 1.000000e-01 [70310]\n", + "--- Min DT=1.077813e-04 < 6.250000e-03 [21]\n", + "--- Max DT=3.050248e-01 > 1.000000e-01 [70238]\n", "----------------------------------------------------------------------\n", - " Component | low: 26/100000\n", - " Component | high: 70310/100000\n", + " Component | low: 21/100000\n", + " Component | high: 70238/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=2] -------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00095247 [ 0.69 %]\n", - "Velocity : 0.00258153 [ 1.87 %]\n", - "Force : 0.0497799 [ 36.01 %]\n", - "Coefs : 0.0179757 [ 13.00 %]\n", - "Output : 0.00792565 [ 5.73 %]\n", - "Levels : 0.000285004 [ 0.21 %]\n", - "Report : 1.644e-06 [ 0.00 %]\n", - "Balance : 1.021e-06 [ 0.00 %]\n", - "Adjust : 0.0586844 [ 42.45 %]\n", - "Total : 0.138233 [100.00 %]\n", + "Drift : 0.000320531 [ 0.75 %]\n", + "Velocity : 0.00072312 [ 1.69 %]\n", + "Force : 0.0149412 [ 34.86 %]\n", + "Coefs : 0.00624129 [ 14.56 %]\n", + "Output : 0.00268917 [ 6.27 %]\n", + "Levels : 0.000113389 [ 0.26 %]\n", + "Report : 3.61e-07 [ 0.00 %]\n", + "Balance : 2.45e-07 [ 0.00 %]\n", + "Adjust : 0.0178116 [ 41.55 %]\n", + "Total : 0.0428661 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6646 389 99 6 2 \n", - "1 : 6652 404 79 4 3 \n", - "2 : 6645 415 76 4 2 \n", - "3 : 6654 412 69 7 0 \n", - "4 : 6619 438 73 10 2 \n", - "5 : 6650 398 84 6 4 \n", - "6 : 6660 383 93 3 3 \n", - "7 : 6620 423 87 6 6 \n", - "8 : 6649 411 68 5 9 \n", - "9 : 6642 405 90 5 0 \n", - "10 : 6658 387 85 7 5 \n", - "11 : 6606 457 70 6 3 \n", - "12 : 6648 405 81 4 4 \n", - "13 : 6647 421 79 5 2 \n", + "0 : 6648 396 87 8 3 \n", + "1 : 6672 384 77 4 5 \n", + "2 : 6615 416 99 8 4 \n", + "3 : 6653 397 84 6 2 \n", + "4 : 6614 408 108 9 3 \n", + "5 : 6650 414 68 5 5 \n", + "6 : 6617 419 98 5 3 \n", + "7 : 6614 432 89 5 2 \n", + "8 : 6670 389 73 8 2 \n", + "9 : 6658 404 73 4 3 \n", + "10 : 6639 411 82 7 3 \n", + "11 : 6618 429 84 8 3 \n", + "12 : 6627 425 81 6 3 \n", + "13 : 6672 397 78 4 3 \n", "\n", - "T : 92996 5748 1133 78 45 [100000]\n", + "T : 92967 5721 1181 87 44 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.6%\n", + "--- Coef/DT = 0.5%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0973e-02 sec\n", - "--- Collate = 7.8221e-05 sec\n", + "--- Update = 3.6393e-03 sec\n", + "--- Collate = 2.6491e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.847139e-04 < 6.250000e-03 [21]\n", - "--- Max DT=3.049346e-01 > 1.000000e-01 [70313]\n", + "--- Min DT=2.576369e-05 < 6.250000e-03 [21]\n", + "--- Max DT=3.050254e-01 > 1.000000e-01 [70236]\n", "----------------------------------------------------------------------\n", " Component | low: 21/100000\n", - " Component | high: 70313/100000\n", + " Component | high: 70236/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=2.1] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00106113 [ 0.79 %]\n", - "Velocity : 0.00277725 [ 2.07 %]\n", - "Force : 0.0497299 [ 37.00 %]\n", - "Coefs : 0.0201639 [ 15.00 %]\n", - "Output : 0.00124509 [ 0.93 %]\n", - "Levels : 0.00033721 [ 0.25 %]\n", - "Report : 9.25e-07 [ 0.00 %]\n", - "Balance : 3.7e-07 [ 0.00 %]\n", - "Adjust : 0.0590515 [ 43.93 %]\n", - "Total : 0.134418 [100.00 %]\n", + "Drift : 0.00030282 [ 0.74 %]\n", + "Velocity : 0.00071544 [ 1.76 %]\n", + "Force : 0.014901 [ 36.59 %]\n", + "Coefs : 0.00623893 [ 15.32 %]\n", + "Output : 0.000555489 [ 1.36 %]\n", + "Levels : 0.00014197 [ 0.35 %]\n", + "Report : 2.19e-07 [ 0.00 %]\n", + "Balance : 1.81e-07 [ 0.00 %]\n", + "Adjust : 0.017856 [ 43.84 %]\n", + "Total : 0.0407289 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6645 391 99 5 2 \n", - "1 : 6651 405 78 6 2 \n", - "2 : 6646 415 75 4 2 \n", - "3 : 6655 413 67 6 1 \n", - "4 : 6620 437 73 10 2 \n", - "5 : 6652 396 83 7 4 \n", - "6 : 6659 383 94 3 3 \n", - "7 : 6621 420 88 6 7 \n", - "8 : 6650 410 69 5 8 \n", - "9 : 6642 406 90 4 0 \n", - "10 : 6658 387 86 6 5 \n", - "11 : 6605 458 71 5 3 \n", - "12 : 6648 406 80 5 3 \n", - "13 : 6646 422 78 6 2 \n", + "0 : 6649 396 88 6 3 \n", + "1 : 6672 384 77 4 5 \n", + "2 : 6616 415 99 8 4 \n", + "3 : 6652 398 84 6 2 \n", + "4 : 6612 411 108 8 3 \n", + "5 : 6651 413 68 5 5 \n", + "6 : 6616 419 98 7 2 \n", + "7 : 6616 430 89 5 2 \n", + "8 : 6671 389 71 10 1 \n", + "9 : 6658 404 73 4 3 \n", + "10 : 6638 412 82 7 3 \n", + "11 : 6618 430 84 6 4 \n", + "12 : 6626 426 81 6 3 \n", + "13 : 6672 396 79 5 2 \n", "\n", - "T : 92998 5749 1131 78 44 [100000]\n", + "T : 92967 5723 1181 87 42 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.6%\n", + "--- Coef/DT = 0.5%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0087e-02 sec\n", - "--- Collate = 7.9859e-05 sec\n", + "--- Update = 3.6620e-03 sec\n", + "--- Collate = 2.6879e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.870493e-05 < 6.250000e-03 [21]\n", - "--- Max DT=3.049476e-01 > 1.000000e-01 [70317]\n", + "--- Min DT=4.555475e-04 < 6.250000e-03 [18]\n", + "--- Max DT=3.050260e-01 > 1.000000e-01 [70247]\n", "----------------------------------------------------------------------\n", - " Component | low: 21/100000\n", - " Component | high: 70317/100000\n", + " Component | low: 18/100000\n", + " Component | high: 70247/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=2.2] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000996352 [ 0.77 %]\n", - "Velocity : 0.00267682 [ 2.07 %]\n", - "Force : 0.0490273 [ 37.84 %]\n", - "Coefs : 0.019172 [ 14.80 %]\n", - "Output : 0.00132644 [ 1.02 %]\n", - "Levels : 0.000233901 [ 0.18 %]\n", - "Report : 5.77e-07 [ 0.00 %]\n", - "Balance : 3.35e-07 [ 0.00 %]\n", - "Adjust : 0.0560758 [ 43.28 %]\n", - "Total : 0.129556 [100.00 %]\n", + "Drift : 0.000311803 [ 0.76 %]\n", + "Velocity : 0.000740533 [ 1.82 %]\n", + "Force : 0.0149075 [ 36.54 %]\n", + "Coefs : 0.00622441 [ 15.26 %]\n", + "Output : 0.000527379 [ 1.29 %]\n", + "Levels : 0.000125147 [ 0.31 %]\n", + "Report : 2.67e-07 [ 0.00 %]\n", + "Balance : 1.64e-07 [ 0.00 %]\n", + "Adjust : 0.0179453 [ 43.98 %]\n", + "Total : 0.0407996 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6645 390 100 6 1 \n", - "1 : 6651 405 77 6 3 \n", - "2 : 6645 415 76 2 4 \n", - "3 : 6655 413 68 5 1 \n", - "4 : 6620 438 72 9 3 \n", - "5 : 6652 396 83 7 4 \n", - "6 : 6660 382 94 4 2 \n", - "7 : 6620 421 88 7 6 \n", - "8 : 6652 408 69 5 8 \n", - "9 : 6642 407 88 4 1 \n", - "10 : 6658 387 85 7 5 \n", - "11 : 6605 458 71 5 3 \n", - "12 : 6647 407 80 5 3 \n", - "13 : 6646 422 77 7 2 \n", + "0 : 6651 393 89 7 2 \n", + "1 : 6672 384 77 5 4 \n", + "2 : 6617 413 100 8 4 \n", + "3 : 6651 399 84 5 3 \n", + "4 : 6614 409 109 7 3 \n", + "5 : 6650 415 67 6 4 \n", + "6 : 6617 418 99 6 2 \n", + "7 : 6615 430 90 6 1 \n", + "8 : 6669 391 71 8 3 \n", + "9 : 6659 403 72 6 2 \n", + "10 : 6638 412 82 7 3 \n", + "11 : 6618 431 83 6 4 \n", + "12 : 6625 425 84 5 3 \n", + "13 : 6670 397 80 5 2 \n", "\n", - "T : 92998 5749 1128 79 46 [100000]\n", + "T : 92966 5720 1187 87 40 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.7%\n", + "--- Coef/DT = 0.5%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0679e-02 sec\n", - "--- Collate = 1.1289e-04 sec\n", + "--- Update = 3.5925e-03 sec\n", + "--- Collate = 2.3518e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.111836e-04 < 6.250000e-03 [23]\n", - "--- Max DT=3.049601e-01 > 1.000000e-01 [70318]\n", + "--- Min DT=9.843367e-05 < 6.250000e-03 [20]\n", + "--- Max DT=3.050269e-01 > 1.000000e-01 [70242]\n", "----------------------------------------------------------------------\n", - " Component | low: 23/100000\n", - " Component | high: 70318/100000\n", + " Component | low: 20/100000\n", + " Component | high: 70242/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=2.3] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000878788 [ 0.68 %]\n", - "Velocity : 0.00238138 [ 1.85 %]\n", - "Force : 0.0458752 [ 35.60 %]\n", - "Coefs : 0.0188373 [ 14.62 %]\n", - "Output : 0.00141458 [ 1.10 %]\n", - "Levels : 0.000233649 [ 0.18 %]\n", - "Report : 9.48e-07 [ 0.00 %]\n", - "Balance : 3.46e-07 [ 0.00 %]\n", - "Adjust : 0.0591954 [ 45.94 %]\n", - "Total : 0.128868 [100.00 %]\n", + "Drift : 0.000324738 [ 0.80 %]\n", + "Velocity : 0.000733708 [ 1.80 %]\n", + "Force : 0.0148783 [ 36.56 %]\n", + "Coefs : 0.00630038 [ 15.48 %]\n", + "Output : 0.000513814 [ 1.26 %]\n", + "Levels : 0.000108698 [ 0.27 %]\n", + "Report : 1.9e-07 [ 0.00 %]\n", + "Balance : 1.61e-07 [ 0.00 %]\n", + "Adjust : 0.017824 [ 43.79 %]\n", + "Total : 0.0407003 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6646 390 99 6 1 \n", - "1 : 6654 401 77 6 4 \n", - "2 : 6644 416 76 2 4 \n", - "3 : 6655 413 69 4 1 \n", - "4 : 6619 439 73 8 3 \n", - "5 : 6651 398 82 9 2 \n", - "6 : 6660 382 96 2 2 \n", - "7 : 6622 419 88 8 5 \n", - "8 : 6654 406 69 7 6 \n", - "9 : 6643 406 88 4 1 \n", - "10 : 6659 386 85 7 5 \n", - "11 : 6606 457 72 5 2 \n", - "12 : 6646 406 82 4 4 \n", - "13 : 6646 422 78 6 2 \n", + "0 : 6650 393 90 7 2 \n", + "1 : 6673 384 75 6 4 \n", + "2 : 6620 411 100 7 4 \n", + "3 : 6651 399 85 4 3 \n", + "4 : 6614 411 107 5 5 \n", + "5 : 6650 415 67 5 5 \n", + "6 : 6616 421 97 5 3 \n", + "7 : 6615 430 90 6 1 \n", + "8 : 6667 393 71 8 3 \n", + "9 : 6661 400 75 4 2 \n", + "10 : 6639 411 83 6 3 \n", + "11 : 6618 431 84 5 4 \n", + "12 : 6625 425 84 5 3 \n", + "13 : 6672 393 82 5 2 \n", "\n", - "T : 93005 5741 1134 78 42 [100000]\n", + "T : 92971 5717 1190 78 44 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.4%\n", + "--- Coef/DT = 0.7%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0032e-02 sec\n", - "--- Collate = 1.0850e-04 sec\n", + "--- Update = 3.6129e-03 sec\n", + "--- Collate = 2.5062e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.565598e-05 < 6.250000e-03 [22]\n", - "--- Max DT=3.049734e-01 > 1.000000e-01 [70322]\n", + "--- Min DT=1.776319e-05 < 6.250000e-03 [21]\n", + "--- Max DT=3.050272e-01 > 1.000000e-01 [70245]\n", "----------------------------------------------------------------------\n", - " Component | low: 22/100000\n", - " Component | high: 70322/100000\n", + " Component | low: 21/100000\n", + " Component | high: 70245/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=2.4] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000808429 [ 0.64 %]\n", - "Velocity : 0.00251294 [ 1.99 %]\n", - "Force : 0.0460349 [ 36.42 %]\n", - "Coefs : 0.0172485 [ 13.65 %]\n", - "Output : 0.00137703 [ 1.09 %]\n", - "Levels : 0.000201192 [ 0.16 %]\n", - "Report : 5.82e-07 [ 0.00 %]\n", - "Balance : 3.22e-07 [ 0.00 %]\n", - "Adjust : 0.0581626 [ 46.02 %]\n", - "Total : 0.126393 [100.00 %]\n", + "Drift : 0.000316009 [ 0.77 %]\n", + "Velocity : 0.000726908 [ 1.77 %]\n", + "Force : 0.01502 [ 36.65 %]\n", + "Coefs : 0.00623346 [ 15.21 %]\n", + "Output : 0.000539604 [ 1.32 %]\n", + "Levels : 0.000107626 [ 0.26 %]\n", + "Report : 1.71e-07 [ 0.00 %]\n", + "Balance : 1.62e-07 [ 0.00 %]\n", + "Adjust : 0.0180274 [ 43.98 %]\n", + "Total : 0.0409864 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6646 389 100 6 1 \n", - "1 : 6653 403 75 7 4 \n", - "2 : 6644 416 77 1 4 \n", - "3 : 6654 414 68 5 1 \n", - "4 : 6620 438 73 8 3 \n", - "5 : 6650 399 82 9 2 \n", - "6 : 6660 383 95 2 2 \n", - "7 : 6621 420 88 8 5 \n", - "8 : 6656 404 68 11 3 \n", - "9 : 6644 405 87 5 1 \n", - "10 : 6659 386 87 8 2 \n", - "11 : 6607 457 71 5 2 \n", - "12 : 6646 405 83 4 4 \n", - "13 : 6646 422 79 5 2 \n", + "0 : 6650 393 91 5 3 \n", + "1 : 6673 384 75 6 4 \n", + "2 : 6620 411 100 6 5 \n", + "3 : 6653 399 83 4 3 \n", + "4 : 6615 410 106 6 5 \n", + "5 : 6651 414 67 7 3 \n", + "6 : 6619 418 97 5 3 \n", + "7 : 6614 431 91 4 2 \n", + "8 : 6667 393 72 6 4 \n", + "9 : 6661 400 72 7 2 \n", + "10 : 6638 412 83 6 3 \n", + "11 : 6619 430 84 5 4 \n", + "12 : 6624 426 83 6 3 \n", + "13 : 6670 395 82 5 2 \n", "\n", - "T : 93006 5741 1133 84 36 [100000]\n", + "T : 92974 5716 1186 78 46 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.5%\n", + "--- Coef/DT = 0.7%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 9.9669e-03 sec\n", - "--- Collate = 9.4410e-05 sec\n", + "--- Update = 3.5060e-03 sec\n", + "--- Collate = 2.4152e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.670900e-05 < 6.250000e-03 [19]\n", - "--- Max DT=3.049862e-01 > 1.000000e-01 [70322]\n", + "--- Min DT=1.494004e-04 < 6.250000e-03 [22]\n", + "--- Max DT=3.050281e-01 > 1.000000e-01 [70259]\n", "----------------------------------------------------------------------\n", - " Component | low: 19/100000\n", - " Component | high: 70322/100000\n", + " Component | low: 22/100000\n", + " Component | high: 70259/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=2.5] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00104164 [ 0.86 %]\n", - "Velocity : 0.00233965 [ 1.94 %]\n", - "Force : 0.0453825 [ 37.63 %]\n", - "Coefs : 0.0171829 [ 14.25 %]\n", - "Output : 0.00134659 [ 1.12 %]\n", - "Levels : 0.000273055 [ 0.23 %]\n", - "Report : 9.17e-07 [ 0.00 %]\n", - "Balance : 2.72e-07 [ 0.00 %]\n", - "Adjust : 0.052955 [ 43.91 %]\n", - "Total : 0.120589 [100.00 %]\n", + "Drift : 0.000322712 [ 0.79 %]\n", + "Velocity : 0.000719012 [ 1.75 %]\n", + "Force : 0.0150521 [ 36.69 %]\n", + "Coefs : 0.00645375 [ 15.73 %]\n", + "Output : 0.00052834 [ 1.29 %]\n", + "Levels : 0.000127478 [ 0.31 %]\n", + "Report : 2.14e-07 [ 0.00 %]\n", + "Balance : 1.63e-07 [ 0.00 %]\n", + "Adjust : 0.0178022 [ 43.40 %]\n", + "Total : 0.0410221 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6645 389 101 4 3 \n", - "1 : 6655 401 74 6 6 \n", - "2 : 6645 415 77 1 4 \n", - "3 : 6654 416 66 5 1 \n", - "4 : 6618 441 74 6 3 \n", - "5 : 6650 400 80 9 3 \n", - "6 : 6659 384 94 3 2 \n", - "7 : 6621 420 89 8 4 \n", - "8 : 6656 404 68 10 4 \n", - "9 : 6643 406 88 4 1 \n", - "10 : 6659 386 85 10 2 \n", - "11 : 6608 453 74 5 2 \n", - "12 : 6647 404 84 3 4 \n", - "13 : 6647 421 79 5 2 \n", + "0 : 6649 395 90 5 3 \n", + "1 : 6673 384 75 7 3 \n", + "2 : 6619 413 99 6 5 \n", + "3 : 6652 401 82 4 3 \n", + "4 : 6615 410 106 7 4 \n", + "5 : 6651 414 67 7 3 \n", + "6 : 6618 420 97 4 3 \n", + "7 : 6614 430 92 4 2 \n", + "8 : 6667 393 72 6 4 \n", + "9 : 6663 398 72 8 1 \n", + "10 : 6639 411 83 5 4 \n", + "11 : 6619 430 84 7 2 \n", + "12 : 6625 425 83 5 4 \n", + "13 : 6670 395 82 4 3 \n", "\n", - "T : 93007 5740 1133 79 41 [100000]\n", + "T : 92974 5719 1184 79 44 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.4%\n", + "--- Coef/DT = 0.5%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.1298e-02 sec\n", - "--- Collate = 7.7335e-05 sec\n", + "--- Update = 3.6490e-03 sec\n", + "--- Collate = 2.4614e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.781709e-04 < 6.250000e-03 [20]\n", - "--- Max DT=3.049993e-01 > 1.000000e-01 [70324]\n", + "--- Min DT=2.219829e-04 < 6.250000e-03 [21]\n", + "--- Max DT=3.050281e-01 > 1.000000e-01 [70251]\n", "----------------------------------------------------------------------\n", - " Component | low: 20/100000\n", - " Component | high: 70324/100000\n", + " Component | low: 21/100000\n", + " Component | high: 70251/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=2.6] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000591619 [ 0.45 %]\n", - "Velocity : 0.00253496 [ 1.91 %]\n", - "Force : 0.0507947 [ 38.22 %]\n", - "Coefs : 0.0179786 [ 13.53 %]\n", - "Output : 0.00134825 [ 1.01 %]\n", - "Levels : 0.00027265 [ 0.21 %]\n", - "Report : 1.01e-06 [ 0.00 %]\n", - "Balance : 3.85e-07 [ 0.00 %]\n", - "Adjust : 0.0593333 [ 44.64 %]\n", - "Total : 0.132905 [100.00 %]\n", + "Drift : 0.000335585 [ 0.81 %]\n", + "Velocity : 0.000730383 [ 1.77 %]\n", + "Force : 0.0149689 [ 36.35 %]\n", + "Coefs : 0.00636927 [ 15.47 %]\n", + "Output : 0.000543338 [ 1.32 %]\n", + "Levels : 0.000106029 [ 0.26 %]\n", + "Report : 2.23e-07 [ 0.00 %]\n", + "Balance : 1.69e-07 [ 0.00 %]\n", + "Adjust : 0.0181112 [ 43.98 %]\n", + "Total : 0.0411821 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6644 392 98 5 3 \n", - "1 : 6654 402 75 5 6 \n", - "2 : 6646 414 77 1 4 \n", - "3 : 6656 413 66 6 1 \n", - "4 : 6619 440 74 6 3 \n", - "5 : 6650 400 79 9 4 \n", - "6 : 6658 383 95 4 2 \n", - "7 : 6619 422 89 6 6 \n", - "8 : 6657 403 69 8 5 \n", - "9 : 6643 406 88 4 1 \n", - "10 : 6659 386 85 11 1 \n", - "11 : 6605 456 73 6 2 \n", - "12 : 6646 405 84 4 3 \n", - "13 : 6646 422 79 4 3 \n", + "0 : 6648 396 91 3 4 \n", + "1 : 6674 382 76 7 3 \n", + "2 : 6618 413 99 6 6 \n", + "3 : 6653 400 82 5 2 \n", + "4 : 6615 410 106 7 4 \n", + "5 : 6650 415 68 7 2 \n", + "6 : 6617 421 96 5 3 \n", + "7 : 6613 431 93 4 1 \n", + "8 : 6668 392 72 6 4 \n", + "9 : 6661 399 73 8 1 \n", + "10 : 6640 410 83 5 4 \n", + "11 : 6618 431 84 7 2 \n", + "12 : 6625 426 83 5 3 \n", + "13 : 6668 398 81 4 3 \n", "\n", - "T : 93002 5744 1131 79 44 [100000]\n", + "T : 92968 5724 1187 79 42 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 0.6%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.1265e-02 sec\n", - "--- Collate = 5.9869e-05 sec\n", + "--- Update = 3.6591e-03 sec\n", + "--- Collate = 2.5431e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.203044e-04 < 6.250000e-03 [25]\n", - "--- Max DT=3.050118e-01 > 1.000000e-01 [70325]\n", + "--- Min DT=5.676711e-05 < 6.250000e-03 [23]\n", + "--- Max DT=3.050286e-01 > 1.000000e-01 [70260]\n", "----------------------------------------------------------------------\n", - " Component | low: 25/100000\n", - " Component | high: 70325/100000\n", + " Component | low: 23/100000\n", + " Component | high: 70260/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=2.7] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000625342 [ 0.46 %]\n", - "Velocity : 0.00235938 [ 1.75 %]\n", - "Force : 0.0495159 [ 36.69 %]\n", - "Coefs : 0.0207552 [ 15.38 %]\n", - "Output : 0.0013327 [ 0.99 %]\n", - "Levels : 0.000225099 [ 0.17 %]\n", - "Report : 6.84e-07 [ 0.00 %]\n", - "Balance : 3.56e-07 [ 0.00 %]\n", - "Adjust : 0.0600971 [ 44.53 %]\n", - "Total : 0.13496 [100.00 %]\n", + "Drift : 0.000321428 [ 0.78 %]\n", + "Velocity : 0.000776564 [ 1.88 %]\n", + "Force : 0.0149687 [ 36.33 %]\n", + "Coefs : 0.00630536 [ 15.30 %]\n", + "Output : 0.000551545 [ 1.34 %]\n", + "Levels : 0.000110381 [ 0.27 %]\n", + "Report : 2.19e-07 [ 0.00 %]\n", + "Balance : 1.72e-07 [ 0.00 %]\n", + "Adjust : 0.0181496 [ 44.05 %]\n", + "Total : 0.0412002 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6644 392 98 5 3 \n", - "1 : 6653 403 74 8 4 \n", - "2 : 6646 414 77 2 3 \n", - "3 : 6657 413 65 6 1 \n", - "4 : 6618 441 74 7 2 \n", - "5 : 6651 397 81 9 4 \n", - "6 : 6658 382 96 4 2 \n", - "7 : 6616 424 89 7 6 \n", - "8 : 6657 404 69 6 6 \n", - "9 : 6644 405 88 4 1 \n", - "10 : 6660 384 86 11 1 \n", - "11 : 6606 456 72 7 1 \n", - "12 : 6646 404 85 6 1 \n", - "13 : 6647 421 79 5 2 \n", + "0 : 6649 395 91 3 4 \n", + "1 : 6673 383 75 9 2 \n", + "2 : 6617 415 99 6 5 \n", + "3 : 6652 400 83 5 2 \n", + "4 : 6616 409 107 4 6 \n", + "5 : 6650 415 69 8 0 \n", + "6 : 6618 420 95 6 3 \n", + "7 : 6612 431 93 4 2 \n", + "8 : 6668 392 73 5 4 \n", + "9 : 6661 398 74 8 1 \n", + "10 : 6641 409 80 8 4 \n", + "11 : 6619 431 82 8 2 \n", + "12 : 6625 426 83 4 4 \n", + "13 : 6671 395 81 4 3 \n", "\n", - "T : 93003 5740 1133 87 37 [100000]\n", + "T : 92972 5719 1185 82 42 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.8%\n", + "--- Coef/DT = 0.6%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0142e-02 sec\n", - "--- Collate = 7.0274e-05 sec\n", + "--- Update = 3.6979e-03 sec\n", + "--- Collate = 2.9339e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.338135e-04 < 6.250000e-03 [24]\n", - "--- Max DT=3.050238e-01 > 1.000000e-01 [70328]\n", + "--- Min DT=2.314684e-05 < 6.250000e-03 [24]\n", + "--- Max DT=3.050292e-01 > 1.000000e-01 [70265]\n", "----------------------------------------------------------------------\n", " Component | low: 24/100000\n", - " Component | high: 70328/100000\n", + " Component | high: 70265/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=2.8] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00092313 [ 0.71 %]\n", - "Velocity : 0.00232044 [ 1.78 %]\n", - "Force : 0.0501211 [ 38.51 %]\n", - "Coefs : 0.0192727 [ 14.81 %]\n", - "Output : 0.00134109 [ 1.03 %]\n", - "Levels : 0.000235365 [ 0.18 %]\n", - "Report : 8.39e-07 [ 0.00 %]\n", - "Balance : 3.01e-07 [ 0.00 %]\n", - "Adjust : 0.0558783 [ 42.94 %]\n", - "Total : 0.130138 [100.00 %]\n", + "Drift : 0.000322657 [ 0.78 %]\n", + "Velocity : 0.000741348 [ 1.79 %]\n", + "Force : 0.0150683 [ 36.36 %]\n", + "Coefs : 0.00654392 [ 15.79 %]\n", + "Output : 0.000552013 [ 1.33 %]\n", + "Levels : 0.000105631 [ 0.25 %]\n", + "Report : 1.92e-07 [ 0.00 %]\n", + "Balance : 1.63e-07 [ 0.00 %]\n", + "Adjust : 0.0180909 [ 43.65 %]\n", + "Total : 0.041443 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6646 390 97 5 4 \n", - "1 : 6653 401 76 7 5 \n", - "2 : 6645 415 77 2 3 \n", - "3 : 6656 414 65 6 1 \n", - "4 : 6619 438 77 6 2 \n", - "5 : 6650 398 80 10 4 \n", - "6 : 6657 383 96 5 1 \n", - "7 : 6618 422 91 5 6 \n", - "8 : 6657 404 68 7 6 \n", - "9 : 6644 404 89 4 1 \n", - "10 : 6663 381 86 9 3 \n", - "11 : 6605 458 73 5 1 \n", - "12 : 6646 404 85 5 2 \n", - "13 : 6644 424 78 6 2 \n", + "0 : 6649 395 91 4 3 \n", + "1 : 6674 382 75 11 0 \n", + "2 : 6617 414 100 6 5 \n", + "3 : 6653 399 83 6 1 \n", + "4 : 6613 413 106 5 5 \n", + "5 : 6650 416 67 8 1 \n", + "6 : 6619 421 93 6 3 \n", + "7 : 6613 430 93 3 3 \n", + "8 : 6669 390 74 5 4 \n", + "9 : 6659 399 75 8 1 \n", + "10 : 6642 408 81 7 4 \n", + "11 : 6619 433 81 6 3 \n", + "12 : 6629 421 84 4 4 \n", + "13 : 6672 394 81 5 2 \n", "\n", - "T : 93003 5736 1138 82 41 [100000]\n", + "T : 92978 5715 1184 84 39 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.7%\n", + "--- Coef/DT = 0.6%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0331e-02 sec\n", - "--- Collate = 7.4561e-05 sec\n", + "--- Update = 3.6778e-03 sec\n", + "--- Collate = 2.7036e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.718489e-04 < 6.250000e-03 [21]\n", - "--- Max DT=3.050363e-01 > 1.000000e-01 [70334]\n", + "--- Min DT=9.834323e-06 < 6.250000e-03 [19]\n", + "--- Max DT=3.050298e-01 > 1.000000e-01 [70270]\n", "----------------------------------------------------------------------\n", - " Component | low: 21/100000\n", - " Component | high: 70334/100000\n", + " Component | low: 19/100000\n", + " Component | high: 70270/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=2.9] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000994492 [ 0.80 %]\n", - "Velocity : 0.00258288 [ 2.07 %]\n", - "Force : 0.0463862 [ 37.13 %]\n", - "Coefs : 0.0178969 [ 14.33 %]\n", - "Output : 0.00131895 [ 1.06 %]\n", - "Levels : 0.000232681 [ 0.19 %]\n", - "Report : 6.72e-07 [ 0.00 %]\n", - "Balance : 3.04e-07 [ 0.00 %]\n", - "Adjust : 0.0554604 [ 44.40 %]\n", - "Total : 0.124924 [100.00 %]\n", + "Drift : 0.000325784 [ 0.78 %]\n", + "Velocity : 0.000748001 [ 1.80 %]\n", + "Force : 0.0152838 [ 36.75 %]\n", + "Coefs : 0.00658129 [ 15.82 %]\n", + "Output : 0.000532008 [ 1.28 %]\n", + "Levels : 0.00010858 [ 0.26 %]\n", + "Report : 2.16e-07 [ 0.00 %]\n", + "Balance : 1.62e-07 [ 0.00 %]\n", + "Adjust : 0.0179921 [ 43.26 %]\n", + "Total : 0.0415891 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6645 392 96 5 4 \n", - "1 : 6652 402 76 8 4 \n", - "2 : 6645 416 76 2 3 \n", - "3 : 6655 415 65 6 1 \n", - "4 : 6621 435 78 6 2 \n", - "5 : 6648 400 80 10 4 \n", - "6 : 6657 384 95 5 1 \n", - "7 : 6616 424 91 5 6 \n", - "8 : 6657 405 67 7 6 \n", - "9 : 6643 406 89 3 1 \n", - "10 : 6663 381 87 7 4 \n", - "11 : 6605 457 74 5 1 \n", - "12 : 6646 405 84 5 2 \n", - "13 : 6643 425 78 6 2 \n", + "0 : 6651 393 90 5 3 \n", + "1 : 6673 384 74 10 1 \n", + "2 : 6616 414 100 8 4 \n", + "3 : 6650 402 84 6 0 \n", + "4 : 6613 413 105 5 6 \n", + "5 : 6648 417 66 10 1 \n", + "6 : 6618 422 92 7 3 \n", + "7 : 6613 430 92 4 3 \n", + "8 : 6669 391 72 5 5 \n", + "9 : 6661 396 76 8 1 \n", + "10 : 6642 408 81 8 3 \n", + "11 : 6617 433 83 6 3 \n", + "12 : 6624 426 84 3 5 \n", + "13 : 6671 395 81 5 2 \n", "\n", - "T : 92996 5747 1136 80 41 [100000]\n", + "T : 92966 5724 1180 90 40 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.6%\n", + "--- Coef/DT = 0.4%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.1087e-02 sec\n", - "--- Collate = 7.4909e-05 sec\n", + "--- Update = 3.6119e-03 sec\n", + "--- Collate = 2.4341e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.288502e-04 < 6.250000e-03 [21]\n", - "--- Max DT=3.050488e-01 > 1.000000e-01 [70332]\n", + "--- Min DT=1.130516e-05 < 6.250000e-03 [21]\n", + "--- Max DT=3.050305e-01 > 1.000000e-01 [70274]\n", "----------------------------------------------------------------------\n", " Component | low: 21/100000\n", - " Component | high: 70332/100000\n", + " Component | high: 70274/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=3] -------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000871723 [ 0.65 %]\n", - "Velocity : 0.00259491 [ 1.92 %]\n", - "Force : 0.0473112 [ 35.02 %]\n", - "Coefs : 0.0177849 [ 13.16 %]\n", - "Output : 0.00770739 [ 5.70 %]\n", - "Levels : 0.000297376 [ 0.22 %]\n", - "Report : 1.598e-06 [ 0.00 %]\n", - "Balance : 7.24e-07 [ 0.00 %]\n", - "Adjust : 0.0584968 [ 43.29 %]\n", - "Total : 0.135115 [100.00 %]\n", + "Drift : 0.000324641 [ 0.74 %]\n", + "Velocity : 0.000742987 [ 1.70 %]\n", + "Force : 0.0151884 [ 34.83 %]\n", + "Coefs : 0.00636328 [ 14.59 %]\n", + "Output : 0.0026862 [ 6.16 %]\n", + "Levels : 0.000129865 [ 0.30 %]\n", + "Report : 3.82e-07 [ 0.00 %]\n", + "Balance : 2.81e-07 [ 0.00 %]\n", + "Adjust : 0.0181551 [ 41.63 %]\n", + "Total : 0.0436083 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6643 395 95 5 4 \n", - "1 : 6653 401 76 8 4 \n", - "2 : 6645 415 76 3 3 \n", - "3 : 6657 413 65 6 1 \n", - "4 : 6621 435 77 7 2 \n", - "5 : 6648 401 79 10 4 \n", - "6 : 6656 385 95 4 2 \n", - "7 : 6615 425 90 5 7 \n", - "8 : 6657 403 69 9 4 \n", - "9 : 6645 404 89 3 1 \n", - "10 : 6662 382 88 6 4 \n", - "11 : 6605 457 73 6 1 \n", - "12 : 6647 403 85 5 2 \n", - "13 : 6643 424 81 5 1 \n", + "0 : 6653 391 89 8 1 \n", + "1 : 6673 385 73 9 2 \n", + "2 : 6616 415 100 7 4 \n", + "3 : 6650 401 85 6 0 \n", + "4 : 6613 414 104 6 5 \n", + "5 : 6648 418 65 9 2 \n", + "6 : 6616 423 93 7 3 \n", + "7 : 6613 427 95 4 3 \n", + "8 : 6669 389 74 5 5 \n", + "9 : 6662 395 74 11 0 \n", + "10 : 6643 407 81 8 3 \n", + "11 : 6617 432 83 6 4 \n", + "12 : 6625 425 83 4 5 \n", + "13 : 6671 393 83 6 1 \n", "\n", - "T : 92997 5743 1138 82 40 [100000]\n", + "T : 92969 5715 1182 96 38 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.6%\n", + "--- Coef/DT = 0.5%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.1547e-02 sec\n", - "--- Collate = 7.1445e-05 sec\n", + "--- Update = 3.6440e-03 sec\n", + "--- Collate = 2.4974e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.493803e-04 < 6.250000e-03 [20]\n", - "--- Max DT=3.050608e-01 > 1.000000e-01 [70332]\n", + "--- Min DT=9.528589e-05 < 6.250000e-03 [21]\n", + "--- Max DT=3.050309e-01 > 1.000000e-01 [70280]\n", "----------------------------------------------------------------------\n", - " Component | low: 20/100000\n", - " Component | high: 70332/100000\n", + " Component | low: 21/100000\n", + " Component | high: 70280/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=3.1] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000948102 [ 0.70 %]\n", - "Velocity : 0.00264623 [ 1.95 %]\n", - "Force : 0.0500647 [ 36.97 %]\n", - "Coefs : 0.020086 [ 14.83 %]\n", - "Output : 0.00141037 [ 1.04 %]\n", - "Levels : 0.000257653 [ 0.19 %]\n", - "Report : 6.03e-07 [ 0.00 %]\n", - "Balance : 3.7e-07 [ 0.00 %]\n", - "Adjust : 0.0599705 [ 44.28 %]\n", - "Total : 0.135435 [100.00 %]\n", + "Drift : 0.000312465 [ 0.76 %]\n", + "Velocity : 0.00069717 [ 1.70 %]\n", + "Force : 0.0149711 [ 36.44 %]\n", + "Coefs : 0.00631234 [ 15.37 %]\n", + "Output : 0.000553799 [ 1.35 %]\n", + "Levels : 0.000107187 [ 0.26 %]\n", + "Report : 1.94e-07 [ 0.00 %]\n", + "Balance : 1.7e-07 [ 0.00 %]\n", + "Adjust : 0.0181108 [ 44.08 %]\n", + "Total : 0.0410819 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6642 397 94 5 4 \n", - "1 : 6652 401 78 8 3 \n", - "2 : 6643 418 75 4 2 \n", - "3 : 6654 416 66 6 0 \n", - "4 : 6622 434 75 9 2 \n", - "5 : 6648 401 80 8 5 \n", - "6 : 6657 383 96 4 2 \n", - "7 : 6616 424 90 6 6 \n", - "8 : 6657 403 70 8 4 \n", - "9 : 6643 407 88 4 0 \n", - "10 : 6661 383 88 7 3 \n", - "11 : 6604 458 75 4 1 \n", - "12 : 6649 403 83 5 2 \n", - "13 : 6645 422 80 6 1 \n", + "0 : 6655 389 89 8 1 \n", + "1 : 6674 384 73 8 3 \n", + "2 : 6615 415 101 7 4 \n", + "3 : 6650 401 85 5 1 \n", + "4 : 6614 414 103 5 6 \n", + "5 : 6649 417 64 10 2 \n", + "6 : 6617 422 94 5 4 \n", + "7 : 6614 425 95 4 4 \n", + "8 : 6672 386 74 5 5 \n", + "9 : 6663 394 75 9 1 \n", + "10 : 6643 407 81 7 4 \n", + "11 : 6615 434 83 7 3 \n", + "12 : 6625 425 83 3 6 \n", + "13 : 6671 393 84 4 2 \n", "\n", - "T : 92993 5750 1138 84 35 [100000]\n", + "T : 92977 5706 1184 87 46 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.5%\n", + "--- Coef/DT = 0.6%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0684e-02 sec\n", - "--- Collate = 6.9966e-05 sec\n", + "--- Update = 3.6270e-03 sec\n", + "--- Collate = 2.5416e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.251445e-06 < 6.250000e-03 [19]\n", - "--- Max DT=3.050728e-01 > 1.000000e-01 [70324]\n", + "--- Min DT=6.294825e-05 < 6.250000e-03 [23]\n", + "--- Max DT=3.050312e-01 > 1.000000e-01 [70277]\n", "----------------------------------------------------------------------\n", - " Component | low: 19/100000\n", - " Component | high: 70324/100000\n", + " Component | low: 23/100000\n", + " Component | high: 70277/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=3.2] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000903646 [ 0.71 %]\n", - "Velocity : 0.00247548 [ 1.93 %]\n", - "Force : 0.0461158 [ 36.04 %]\n", - "Coefs : 0.0186519 [ 14.58 %]\n", - "Output : 0.00129305 [ 1.01 %]\n", - "Levels : 0.000232725 [ 0.18 %]\n", - "Report : 8.03e-07 [ 0.00 %]\n", - "Balance : 2.86e-07 [ 0.00 %]\n", - "Adjust : 0.0582179 [ 45.50 %]\n", - "Total : 0.12794 [100.00 %]\n", + "Drift : 0.000323339 [ 0.78 %]\n", + "Velocity : 0.000755809 [ 1.83 %]\n", + "Force : 0.0151291 [ 36.63 %]\n", + "Coefs : 0.00632162 [ 15.31 %]\n", + "Output : 0.000558272 [ 1.35 %]\n", + "Levels : 0.000112593 [ 0.27 %]\n", + "Report : 2.19e-07 [ 0.00 %]\n", + "Balance : 1.66e-07 [ 0.00 %]\n", + "Adjust : 0.018079 [ 43.78 %]\n", + "Total : 0.0412973 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6642 397 92 6 5 \n", - "1 : 6652 401 78 8 3 \n", - "2 : 6644 419 72 6 1 \n", - "3 : 6655 415 66 6 0 \n", - "4 : 6624 433 73 11 1 \n", - "5 : 6648 401 81 6 6 \n", - "6 : 6657 385 94 4 2 \n", - "7 : 6615 425 89 8 5 \n", - "8 : 6660 400 69 8 5 \n", - "9 : 6643 406 89 4 0 \n", - "10 : 6662 382 87 8 3 \n", - "11 : 6605 456 77 3 1 \n", - "12 : 6651 400 83 7 1 \n", - "13 : 6647 419 81 6 1 \n", + "0 : 6655 389 89 8 1 \n", + "1 : 6675 383 75 5 4 \n", + "2 : 6617 413 101 7 4 \n", + "3 : 6651 400 85 5 1 \n", + "4 : 6612 418 100 7 5 \n", + "5 : 6648 418 64 8 4 \n", + "6 : 6615 423 96 4 4 \n", + "7 : 6614 426 94 5 3 \n", + "8 : 6672 386 74 5 5 \n", + "9 : 6663 394 75 9 1 \n", + "10 : 6643 407 83 5 4 \n", + "11 : 6615 435 82 7 3 \n", + "12 : 6626 424 84 2 6 \n", + "13 : 6672 392 84 4 2 \n", "\n", - "T : 93005 5739 1131 91 34 [100000]\n", + "T : 92978 5708 1186 81 47 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.5%\n", + "--- Coef/DT = 0.7%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0544e-02 sec\n", - "--- Collate = 7.0676e-05 sec\n", + "--- Update = 3.6809e-03 sec\n", + "--- Collate = 2.6804e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.506189e-04 < 6.250000e-03 [18]\n", - "--- Max DT=3.050851e-01 > 1.000000e-01 [70322]\n", + "--- Min DT=1.484425e-04 < 6.250000e-03 [23]\n", + "--- Max DT=3.050414e-01 > 1.000000e-01 [70272]\n", "----------------------------------------------------------------------\n", - " Component | low: 18/100000\n", - " Component | high: 70322/100000\n", + " Component | low: 23/100000\n", + " Component | high: 70272/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=3.3] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000937877 [ 0.75 %]\n", - "Velocity : 0.00237783 [ 1.91 %]\n", - "Force : 0.0451784 [ 36.24 %]\n", - "Coefs : 0.018041 [ 14.47 %]\n", - "Output : 0.00121937 [ 0.98 %]\n", - "Levels : 0.000255743 [ 0.21 %]\n", - "Report : 1.072e-06 [ 0.00 %]\n", - "Balance : 2.96e-07 [ 0.00 %]\n", - "Adjust : 0.0565919 [ 45.40 %]\n", - "Total : 0.124648 [100.00 %]\n", + "Drift : 0.000323101 [ 0.78 %]\n", + "Velocity : 0.000735836 [ 1.78 %]\n", + "Force : 0.015069 [ 36.49 %]\n", + "Coefs : 0.00629293 [ 15.24 %]\n", + "Output : 0.000533282 [ 1.29 %]\n", + "Levels : 0.000112015 [ 0.27 %]\n", + "Report : 1.98e-07 [ 0.00 %]\n", + "Balance : 1.67e-07 [ 0.00 %]\n", + "Adjust : 0.0182091 [ 44.10 %]\n", + "Total : 0.0412924 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6643 396 93 5 5 \n", - "1 : 6652 401 79 7 3 \n", - "2 : 6644 418 73 6 1 \n", - "3 : 6656 413 68 4 1 \n", - "4 : 6625 431 73 10 3 \n", - "5 : 6649 400 81 6 6 \n", - "6 : 6657 386 93 4 2 \n", - "7 : 6616 423 90 8 5 \n", - "8 : 6658 402 69 8 5 \n", - "9 : 6644 406 89 3 0 \n", - "10 : 6662 383 86 7 4 \n", - "11 : 6603 459 76 3 1 \n", - "12 : 6651 399 84 7 1 \n", - "13 : 6647 420 80 5 2 \n", + "0 : 6654 389 89 9 1 \n", + "1 : 6674 384 74 6 4 \n", + "2 : 6616 416 98 8 4 \n", + "3 : 6651 400 85 3 3 \n", + "4 : 6611 419 99 8 5 \n", + "5 : 6648 418 64 8 4 \n", + "6 : 6613 425 96 5 3 \n", + "7 : 6617 423 94 5 3 \n", + "8 : 6672 387 73 6 4 \n", + "9 : 6663 394 76 7 2 \n", + "10 : 6643 407 83 6 3 \n", + "11 : 6614 435 83 6 4 \n", + "12 : 6625 425 83 4 5 \n", + "13 : 6672 392 85 2 3 \n", "\n", - "T : 93007 5737 1134 83 39 [100000]\n", + "T : 92973 5714 1182 83 48 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.6%\n", + "--- Coef/DT = 0.4%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.1392e-02 sec\n", - "--- Collate = 1.3131e-04 sec\n", + "--- Update = 3.6506e-03 sec\n", + "--- Collate = 2.3432e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.330753e-04 < 6.250000e-03 [14]\n", - "--- Max DT=3.050965e-01 > 1.000000e-01 [70323]\n", + "--- Min DT=2.510303e-04 < 6.250000e-03 [23]\n", + "--- Max DT=3.050523e-01 > 1.000000e-01 [70268]\n", "----------------------------------------------------------------------\n", - " Component | low: 14/100000\n", - " Component | high: 70323/100000\n", + " Component | low: 23/100000\n", + " Component | high: 70268/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=3.4] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000592969 [ 0.46 %]\n", - "Velocity : 0.00228609 [ 1.78 %]\n", - "Force : 0.0471519 [ 36.61 %]\n", - "Coefs : 0.0180438 [ 14.01 %]\n", - "Output : 0.00133882 [ 1.04 %]\n", - "Levels : 0.000299957 [ 0.23 %]\n", - "Report : 8.98e-07 [ 0.00 %]\n", - "Balance : 3.28e-07 [ 0.00 %]\n", - "Adjust : 0.059029 [ 45.83 %]\n", - "Total : 0.128791 [100.00 %]\n", + "Drift : 0.000326412 [ 0.79 %]\n", + "Velocity : 0.000754024 [ 1.83 %]\n", + "Force : 0.0148961 [ 36.23 %]\n", + "Coefs : 0.00654916 [ 15.93 %]\n", + "Output : 0.000537149 [ 1.31 %]\n", + "Levels : 0.000138115 [ 0.34 %]\n", + "Report : 2.13e-07 [ 0.00 %]\n", + "Balance : 1.62e-07 [ 0.00 %]\n", + "Adjust : 0.0179005 [ 43.53 %]\n", + "Total : 0.0411179 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6644 396 92 4 6 \n", - "1 : 6652 401 81 6 2 \n", - "2 : 6644 418 73 5 2 \n", - "3 : 6656 413 68 4 1 \n", - "4 : 6626 429 75 8 4 \n", - "5 : 6649 400 81 7 5 \n", - "6 : 6658 384 93 5 2 \n", - "7 : 6614 426 88 8 6 \n", - "8 : 6657 402 70 8 5 \n", - "9 : 6643 408 86 5 0 \n", - "10 : 6662 383 85 8 4 \n", - "11 : 6604 458 76 2 2 \n", - "12 : 6651 399 84 7 1 \n", - "13 : 6647 419 81 5 2 \n", + "0 : 6653 391 89 7 2 \n", + "1 : 6674 384 74 5 5 \n", + "2 : 6617 414 99 9 3 \n", + "3 : 6651 401 84 3 3 \n", + "4 : 6613 417 100 9 3 \n", + "5 : 6648 417 65 8 4 \n", + "6 : 6611 428 95 5 3 \n", + "7 : 6618 422 93 6 3 \n", + "8 : 6672 388 71 8 3 \n", + "9 : 6663 394 77 6 2 \n", + "10 : 6642 408 83 4 5 \n", + "11 : 6614 436 81 7 4 \n", + "12 : 6625 426 81 5 5 \n", + "13 : 6672 392 85 2 3 \n", "\n", - "T : 93007 5736 1133 82 42 [100000]\n", + "T : 92973 5718 1177 84 48 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.6%\n", + "--- Coef/DT = 0.5%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0687e-02 sec\n", - "--- Collate = 9.6509e-05 sec\n", + "--- Update = 3.6342e-03 sec\n", + "--- Collate = 2.3261e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.541809e-05 < 6.250000e-03 [19]\n", - "--- Max DT=3.051080e-01 > 1.000000e-01 [70317]\n", + "--- Min DT=1.959379e-04 < 6.250000e-03 [26]\n", + "--- Max DT=3.050626e-01 > 1.000000e-01 [70266]\n", "----------------------------------------------------------------------\n", - " Component | low: 19/100000\n", - " Component | high: 70317/100000\n", + " Component | low: 26/100000\n", + " Component | high: 70266/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=3.5] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00103212 [ 0.72 %]\n", - "Velocity : 0.00263782 [ 1.85 %]\n", - "Force : 0.0528152 [ 37.03 %]\n", - "Coefs : 0.0205963 [ 14.44 %]\n", - "Output : 0.00128421 [ 0.90 %]\n", - "Levels : 0.00027647 [ 0.19 %]\n", - "Report : 9.42e-07 [ 0.00 %]\n", - "Balance : 3.07e-07 [ 0.00 %]\n", - "Adjust : 0.0639303 [ 44.82 %]\n", - "Total : 0.142623 [100.00 %]\n", + "Drift : 0.00032244 [ 0.79 %]\n", + "Velocity : 0.000736343 [ 1.80 %]\n", + "Force : 0.015003 [ 36.71 %]\n", + "Coefs : 0.00622987 [ 15.24 %]\n", + "Output : 0.000520946 [ 1.27 %]\n", + "Levels : 0.000114714 [ 0.28 %]\n", + "Report : 2.14e-07 [ 0.00 %]\n", + "Balance : 1.66e-07 [ 0.00 %]\n", + "Adjust : 0.0179222 [ 43.85 %]\n", + "Total : 0.040867 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6645 396 90 7 4 \n", - "1 : 6654 400 79 6 3 \n", - "2 : 6645 416 74 4 3 \n", - "3 : 6656 413 66 6 1 \n", - "4 : 6624 432 74 8 4 \n", - "5 : 6648 401 82 6 5 \n", - "6 : 6657 384 95 4 2 \n", - "7 : 6614 427 85 11 5 \n", - "8 : 6657 402 69 11 3 \n", - "9 : 6644 408 86 4 0 \n", - "10 : 6663 382 86 7 4 \n", - "11 : 6604 458 75 3 2 \n", - "12 : 6653 397 85 5 2 \n", - "13 : 6649 417 80 7 1 \n", + "0 : 6654 389 90 7 2 \n", + "1 : 6674 386 72 5 5 \n", + "2 : 6616 415 99 8 4 \n", + "3 : 6652 399 85 3 3 \n", + "4 : 6614 418 99 8 3 \n", + "5 : 6647 419 64 8 4 \n", + "6 : 6611 427 98 4 2 \n", + "7 : 6619 421 94 4 4 \n", + "8 : 6672 388 71 9 2 \n", + "9 : 6662 395 77 5 3 \n", + "10 : 6642 408 82 7 3 \n", + "11 : 6615 435 81 7 4 \n", + "12 : 6625 428 78 7 4 \n", + "13 : 6673 391 84 3 3 \n", "\n", - "T : 93013 5733 1126 89 39 [100000]\n", + "T : 92976 5719 1174 85 46 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.8%\n", + "--- Coef/DT = 0.4%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0079e-02 sec\n", - "--- Collate = 8.6643e-05 sec\n", + "--- Update = 3.5967e-03 sec\n", + "--- Collate = 2.5130e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.287197e-05 < 6.250000e-03 [18]\n", - "--- Max DT=3.051199e-01 > 1.000000e-01 [70314]\n", + "--- Min DT=1.149886e-04 < 6.250000e-03 [28]\n", + "--- Max DT=3.050734e-01 > 1.000000e-01 [70264]\n", "----------------------------------------------------------------------\n", - " Component | low: 18/100000\n", - " Component | high: 70314/100000\n", + " Component | low: 28/100000\n", + " Component | high: 70264/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=3.6] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000956072 [ 0.70 %]\n", - "Velocity : 0.00272104 [ 1.99 %]\n", - "Force : 0.0520005 [ 38.09 %]\n", - "Coefs : 0.0188384 [ 13.80 %]\n", - "Output : 0.00139742 [ 1.02 %]\n", - "Levels : 0.000226562 [ 0.17 %]\n", - "Report : 8.15e-07 [ 0.00 %]\n", - "Balance : 7.46e-07 [ 0.00 %]\n", - "Adjust : 0.0603336 [ 44.19 %]\n", - "Total : 0.136524 [100.00 %]\n", + "Drift : 0.000311841 [ 0.77 %]\n", + "Velocity : 0.000730399 [ 1.80 %]\n", + "Force : 0.014921 [ 36.68 %]\n", + "Coefs : 0.00617066 [ 15.17 %]\n", + "Output : 0.000525738 [ 1.29 %]\n", + "Levels : 0.000103266 [ 0.25 %]\n", + "Report : 1.72e-07 [ 0.00 %]\n", + "Balance : 1.65e-07 [ 0.00 %]\n", + "Adjust : 0.0178895 [ 43.98 %]\n", + "Total : 0.0406777 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6647 394 89 8 4 \n", - "1 : 6653 401 79 6 3 \n", - "2 : 6645 418 72 3 4 \n", - "3 : 6656 413 66 6 1 \n", - "4 : 6625 430 75 8 4 \n", - "5 : 6647 403 81 7 4 \n", - "6 : 6658 383 96 3 2 \n", - "7 : 6615 424 87 11 5 \n", - "8 : 6657 402 69 11 3 \n", - "9 : 6645 408 85 4 0 \n", - "10 : 6663 382 86 7 4 \n", - "11 : 6602 459 75 4 2 \n", - "12 : 6653 397 85 4 3 \n", - "13 : 6649 414 84 6 1 \n", + "0 : 6654 389 90 7 2 \n", + "1 : 6673 387 71 6 5 \n", + "2 : 6616 415 98 8 5 \n", + "3 : 6652 398 85 4 3 \n", + "4 : 6616 416 99 8 3 \n", + "5 : 6648 418 64 8 4 \n", + "6 : 6611 427 97 4 3 \n", + "7 : 6619 422 93 4 4 \n", + "8 : 6669 391 71 9 2 \n", + "9 : 6662 397 76 4 3 \n", + "10 : 6644 406 81 8 3 \n", + "11 : 6614 437 81 6 4 \n", + "12 : 6626 426 79 7 4 \n", + "13 : 6672 393 83 2 4 \n", "\n", - "T : 93015 5728 1129 88 40 [100000]\n", + "T : 92976 5722 1168 85 49 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.7%\n", + "--- Coef/DT = 0.4%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 9.7233e-03 sec\n", - "--- Collate = 7.1490e-05 sec\n", + "--- Update = 3.6473e-03 sec\n", + "--- Collate = 2.3433e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.220033e-04 < 6.250000e-03 [22]\n", - "--- Max DT=3.051310e-01 > 1.000000e-01 [70306]\n", + "--- Min DT=5.379263e-05 < 6.250000e-03 [23]\n", + "--- Max DT=3.050838e-01 > 1.000000e-01 [70270]\n", "----------------------------------------------------------------------\n", - " Component | low: 22/100000\n", - " Component | high: 70306/100000\n", + " Component | low: 23/100000\n", + " Component | high: 70270/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=3.7] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000978894 [ 0.80 %]\n", - "Velocity : 0.00251979 [ 2.06 %]\n", - "Force : 0.0443665 [ 36.21 %]\n", - "Coefs : 0.0175126 [ 14.29 %]\n", - "Output : 0.00135074 [ 1.10 %]\n", - "Levels : 0.000227154 [ 0.19 %]\n", - "Report : 6.36e-07 [ 0.00 %]\n", - "Balance : 3.32e-07 [ 0.00 %]\n", - "Adjust : 0.0555097 [ 45.31 %]\n", - "Total : 0.122515 [100.00 %]\n", + "Drift : 0.000312793 [ 0.76 %]\n", + "Velocity : 0.000727058 [ 1.78 %]\n", + "Force : 0.0150118 [ 36.68 %]\n", + "Coefs : 0.00621344 [ 15.18 %]\n", + "Output : 0.000542517 [ 1.33 %]\n", + "Levels : 0.00011771 [ 0.29 %]\n", + "Report : 2.2e-07 [ 0.00 %]\n", + "Balance : 1.65e-07 [ 0.00 %]\n", + "Adjust : 0.0179786 [ 43.94 %]\n", + "Total : 0.0409209 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6648 394 88 8 4 \n", - "1 : 6652 402 79 5 4 \n", - "2 : 6645 418 72 2 5 \n", - "3 : 6656 413 66 6 1 \n", - "4 : 6625 430 76 7 4 \n", - "5 : 6647 403 81 6 5 \n", - "6 : 6658 383 95 4 2 \n", - "7 : 6615 424 89 8 6 \n", - "8 : 6656 403 69 12 2 \n", - "9 : 6644 409 85 4 0 \n", - "10 : 6663 382 86 7 4 \n", - "11 : 6604 457 75 4 2 \n", - "12 : 6652 398 85 5 2 \n", - "13 : 6647 416 84 6 1 \n", + "0 : 6653 390 90 5 4 \n", + "1 : 6672 388 70 8 4 \n", + "2 : 6615 417 97 8 5 \n", + "3 : 6651 396 88 4 3 \n", + "4 : 6616 416 100 5 5 \n", + "5 : 6648 418 65 7 4 \n", + "6 : 6611 427 98 3 3 \n", + "7 : 6620 421 93 6 2 \n", + "8 : 6670 390 71 9 2 \n", + "9 : 6661 398 76 4 3 \n", + "10 : 6643 407 81 8 3 \n", + "11 : 6612 439 81 8 2 \n", + "12 : 6626 426 79 6 5 \n", + "13 : 6674 391 82 4 3 \n", "\n", - "T : 93012 5732 1130 84 42 [100000]\n", + "T : 92972 5724 1171 85 48 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 0.6%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.1394e-02 sec\n", - "--- Collate = 1.0226e-04 sec\n", + "--- Update = 3.6766e-03 sec\n", + "--- Collate = 2.6299e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.780063e-04 < 6.250000e-03 [21]\n", - "--- Max DT=3.051426e-01 > 1.000000e-01 [70298]\n", + "--- Min DT=1.953031e-05 < 6.250000e-03 [21]\n", + "--- Max DT=3.050939e-01 > 1.000000e-01 [70264]\n", "----------------------------------------------------------------------\n", " Component | low: 21/100000\n", - " Component | high: 70298/100000\n", + " Component | high: 70264/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=3.8] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00102308 [ 0.80 %]\n", - "Velocity : 0.00247993 [ 1.95 %]\n", - "Force : 0.0460675 [ 36.19 %]\n", - "Coefs : 0.0173425 [ 13.62 %]\n", - "Output : 0.00134435 [ 1.06 %]\n", - "Levels : 0.000268327 [ 0.21 %]\n", - "Report : 5.71e-07 [ 0.00 %]\n", - "Balance : 6.12e-07 [ 0.00 %]\n", - "Adjust : 0.0587113 [ 46.12 %]\n", - "Total : 0.12729 [100.00 %]\n", + "Drift : 0.000314623 [ 0.77 %]\n", + "Velocity : 0.000737913 [ 1.81 %]\n", + "Force : 0.0148777 [ 36.47 %]\n", + "Coefs : 0.00619078 [ 15.18 %]\n", + "Output : 0.000524254 [ 1.29 %]\n", + "Levels : 0.000133474 [ 0.33 %]\n", + "Report : 3.06e-07 [ 0.00 %]\n", + "Balance : 1.68e-07 [ 0.00 %]\n", + "Adjust : 0.0179984 [ 44.12 %]\n", + "Total : 0.0407939 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6647 395 88 7 5 \n", - "1 : 6652 402 79 4 5 \n", - "2 : 6645 418 72 2 5 \n", - "3 : 6656 413 67 5 1 \n", - "4 : 6625 429 76 8 4 \n", - "5 : 6647 403 81 6 5 \n", - "6 : 6659 382 95 3 3 \n", - "7 : 6615 424 90 8 5 \n", - "8 : 6656 404 68 12 2 \n", - "9 : 6644 407 87 2 2 \n", - "10 : 6664 381 85 9 3 \n", - "11 : 6604 457 75 4 2 \n", - "12 : 6650 400 85 4 3 \n", - "13 : 6647 416 84 6 1 \n", + "0 : 6652 391 89 6 4 \n", + "1 : 6672 386 72 9 3 \n", + "2 : 6615 419 95 9 4 \n", + "3 : 6650 397 87 6 2 \n", + "4 : 6616 417 99 5 5 \n", + "5 : 6648 418 65 8 3 \n", + "6 : 6613 426 97 3 3 \n", + "7 : 6618 423 93 6 2 \n", + "8 : 6670 390 71 8 3 \n", + "9 : 6661 398 74 6 3 \n", + "10 : 6644 406 82 6 4 \n", + "11 : 6614 436 82 8 2 \n", + "12 : 6625 426 80 6 5 \n", + "13 : 6674 390 83 4 3 \n", "\n", - "T : 93011 5731 1132 80 46 [100000]\n", + "T : 92972 5723 1169 90 46 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.7%\n", - "--- Adj/Tot = 0.1%\n", - "--- Update = 1.1529e-02 sec\n", - "--- Collate = 8.0530e-05 sec\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.6495e-03 sec\n", + "--- Collate = 2.3867e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.409545e-05 < 6.250000e-03 [25]\n", - "--- Max DT=3.051538e-01 > 1.000000e-01 [70295]\n", + "--- Min DT=4.551232e-05 < 6.250000e-03 [24]\n", + "--- Max DT=3.051035e-01 > 1.000000e-01 [70258]\n", "----------------------------------------------------------------------\n", - " Component | low: 25/100000\n", - " Component | high: 70295/100000\n", + " Component | low: 24/100000\n", + " Component | high: 70258/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=3.9] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000996775 [ 0.72 %]\n", - "Velocity : 0.00194807 [ 1.42 %]\n", - "Force : 0.0504493 [ 36.69 %]\n", - "Coefs : 0.0191619 [ 13.94 %]\n", - "Output : 0.00132424 [ 0.96 %]\n", - "Levels : 0.000246961 [ 0.18 %]\n", - "Report : 1.007e-06 [ 0.00 %]\n", - "Balance : 5.22e-07 [ 0.00 %]\n", - "Adjust : 0.0633231 [ 46.05 %]\n", - "Total : 0.137501 [100.00 %]\n", + "Drift : 0.000311166 [ 0.76 %]\n", + "Velocity : 0.000742127 [ 1.82 %]\n", + "Force : 0.0148644 [ 36.47 %]\n", + "Coefs : 0.0061933 [ 15.20 %]\n", + "Output : 0.000525188 [ 1.29 %]\n", + "Levels : 0.000122312 [ 0.30 %]\n", + "Report : 1.98e-07 [ 0.00 %]\n", + "Balance : 1.77e-07 [ 0.00 %]\n", + "Adjust : 0.0179775 [ 44.11 %]\n", + "Total : 0.0407529 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6647 396 87 10 2 \n", - "1 : 6652 404 78 3 5 \n", - "2 : 6645 418 72 2 5 \n", - "3 : 6655 414 67 5 1 \n", - "4 : 6626 426 79 8 3 \n", - "5 : 6645 405 80 8 4 \n", - "6 : 6659 382 95 4 2 \n", - "7 : 6615 425 89 9 4 \n", - "8 : 6657 403 68 12 2 \n", - "9 : 6645 406 86 3 2 \n", - "10 : 6664 382 84 9 3 \n", - "11 : 6602 459 75 3 3 \n", - "12 : 6650 400 85 4 3 \n", - "13 : 6647 416 83 7 1 \n", + "0 : 6651 393 89 6 3 \n", + "1 : 6672 387 70 10 3 \n", + "2 : 6618 417 94 9 4 \n", + "3 : 6650 398 86 5 3 \n", + "4 : 6616 417 98 7 4 \n", + "5 : 6650 415 66 8 3 \n", + "6 : 6613 427 96 3 3 \n", + "7 : 6619 423 94 4 2 \n", + "8 : 6670 390 71 7 4 \n", + "9 : 6661 399 73 7 2 \n", + "10 : 6645 405 82 6 4 \n", + "11 : 6614 435 83 8 2 \n", + "12 : 6626 425 81 4 6 \n", + "13 : 6674 390 83 4 3 \n", "\n", - "T : 93009 5736 1128 87 40 [100000]\n", + "T : 92979 5721 1166 88 46 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 0.5%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0012e-02 sec\n", - "--- Collate = 7.2267e-05 sec\n", + "--- Update = 3.6733e-03 sec\n", + "--- Collate = 2.1691e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.711076e-05 < 6.250000e-03 [26]\n", - "--- Max DT=3.051648e-01 > 1.000000e-01 [70292]\n", + "--- Min DT=1.773018e-04 < 6.250000e-03 [20]\n", + "--- Max DT=3.051131e-01 > 1.000000e-01 [70260]\n", "----------------------------------------------------------------------\n", - " Component | low: 26/100000\n", - " Component | high: 70292/100000\n", + " Component | low: 20/100000\n", + " Component | high: 70260/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=4] -------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00100068 [ 0.75 %]\n", - "Velocity : 0.00251147 [ 1.88 %]\n", - "Force : 0.0463192 [ 34.69 %]\n", - "Coefs : 0.0186183 [ 13.95 %]\n", - "Output : 0.0071445 [ 5.35 %]\n", - "Levels : 0.000237154 [ 0.18 %]\n", - "Report : 1.457e-06 [ 0.00 %]\n", - "Balance : 9.63e-07 [ 0.00 %]\n", - "Adjust : 0.057629 [ 43.17 %]\n", - "Total : 0.133507 [100.00 %]\n", + "Drift : 0.00032162 [ 0.74 %]\n", + "Velocity : 0.000735519 [ 1.70 %]\n", + "Force : 0.0150924 [ 34.86 %]\n", + "Coefs : 0.00624663 [ 14.43 %]\n", + "Output : 0.0026798 [ 6.19 %]\n", + "Levels : 0.000111623 [ 0.26 %]\n", + "Report : 5.52e-07 [ 0.00 %]\n", + "Balance : 2.55e-07 [ 0.00 %]\n", + "Adjust : 0.0180903 [ 41.78 %]\n", + "Total : 0.0432947 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6647 396 87 10 2 \n", - "1 : 6652 403 79 3 5 \n", - "2 : 6650 413 72 2 5 \n", - "3 : 6654 415 68 5 0 \n", - "4 : 6628 424 79 8 3 \n", - "5 : 6645 404 81 7 5 \n", - "6 : 6657 384 95 4 2 \n", - "7 : 6616 424 89 8 5 \n", - "8 : 6654 406 68 11 3 \n", - "9 : 6645 405 86 4 2 \n", - "10 : 6663 382 83 10 4 \n", - "11 : 6604 457 74 4 3 \n", - "12 : 6650 402 82 5 3 \n", - "13 : 6647 415 84 4 4 \n", + "0 : 6647 397 89 6 3 \n", + "1 : 6669 389 70 10 4 \n", + "2 : 6616 420 93 11 2 \n", + "3 : 6649 399 86 5 3 \n", + "4 : 6616 417 98 7 4 \n", + "5 : 6648 416 68 7 3 \n", + "6 : 6613 427 95 5 2 \n", + "7 : 6620 422 94 4 2 \n", + "8 : 6668 394 69 7 4 \n", + "9 : 6663 397 74 6 2 \n", + "10 : 6646 404 82 5 5 \n", + "11 : 6613 436 83 10 0 \n", + "12 : 6626 427 80 3 6 \n", + "13 : 6676 386 84 5 3 \n", "\n", - "T : 93012 5730 1127 85 46 [100000]\n", + "T : 92970 5731 1165 91 43 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 0.6%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 9.9107e-03 sec\n", - "--- Collate = 7.5494e-05 sec\n", + "--- Update = 3.6929e-03 sec\n", + "--- Collate = 2.5559e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.392735e-05 < 6.250000e-03 [26]\n", - "--- Max DT=3.051753e-01 > 1.000000e-01 [70282]\n", + "--- Min DT=1.092665e-04 < 6.250000e-03 [20]\n", + "--- Max DT=3.051220e-01 > 1.000000e-01 [70261]\n", "----------------------------------------------------------------------\n", - " Component | low: 26/100000\n", - " Component | high: 70282/100000\n", + " Component | low: 20/100000\n", + " Component | high: 70261/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=4.1] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000880259 [ 0.70 %]\n", - "Velocity : 0.00286139 [ 2.27 %]\n", - "Force : 0.0458097 [ 36.31 %]\n", - "Coefs : 0.0176393 [ 13.98 %]\n", - "Output : 0.0013793 [ 1.09 %]\n", - "Levels : 0.000254082 [ 0.20 %]\n", - "Report : 9.1e-07 [ 0.00 %]\n", - "Balance : 3.41e-07 [ 0.00 %]\n", - "Adjust : 0.057295 [ 45.41 %]\n", - "Total : 0.126169 [100.00 %]\n", + "Drift : 0.00030052 [ 0.73 %]\n", + "Velocity : 0.000713118 [ 1.74 %]\n", + "Force : 0.0150297 [ 36.64 %]\n", + "Coefs : 0.00641282 [ 15.63 %]\n", + "Output : 0.000533147 [ 1.30 %]\n", + "Levels : 0.000116217 [ 0.28 %]\n", + "Report : 2.07e-07 [ 0.00 %]\n", + "Balance : 1.68e-07 [ 0.00 %]\n", + "Adjust : 0.0178964 [ 43.63 %]\n", + "Total : 0.0410202 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6646 395 90 9 2 \n", - "1 : 6652 403 79 3 5 \n", - "2 : 6649 414 71 3 5 \n", - "3 : 6655 413 68 5 1 \n", - "4 : 6628 424 80 7 3 \n", - "5 : 6645 402 83 10 2 \n", - "6 : 6657 383 96 3 3 \n", - "7 : 6616 424 89 8 5 \n", - "8 : 6655 405 68 11 3 \n", - "9 : 6644 405 87 4 2 \n", - "10 : 6664 382 83 9 4 \n", - "11 : 6604 456 75 3 4 \n", - "12 : 6649 404 81 5 3 \n", - "13 : 6649 414 83 4 4 \n", + "0 : 6648 396 89 6 3 \n", + "1 : 6669 388 71 9 5 \n", + "2 : 6616 420 94 11 1 \n", + "3 : 6650 398 86 5 3 \n", + "4 : 6615 417 99 6 5 \n", + "5 : 6649 415 67 8 3 \n", + "6 : 6614 426 95 6 1 \n", + "7 : 6620 422 95 3 2 \n", + "8 : 6670 392 70 5 5 \n", + "9 : 6665 395 75 6 1 \n", + "10 : 6643 408 81 5 5 \n", + "11 : 6613 437 82 9 1 \n", + "12 : 6627 427 80 2 6 \n", + "13 : 6676 386 84 5 3 \n", "\n", - "T : 93013 5724 1133 84 46 [100000]\n", + "T : 92975 5727 1168 86 44 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.6%\n", + "--- Coef/DT = 0.5%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0213e-02 sec\n", - "--- Collate = 5.6734e-05 sec\n", + "--- Update = 3.6254e-03 sec\n", + "--- Collate = 2.4419e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.859200e-04 < 6.250000e-03 [26]\n", - "--- Max DT=3.051853e-01 > 1.000000e-01 [70287]\n", + "--- Min DT=1.252332e-04 < 6.250000e-03 [20]\n", + "--- Max DT=3.051316e-01 > 1.000000e-01 [70266]\n", "----------------------------------------------------------------------\n", - " Component | low: 26/100000\n", - " Component | high: 70287/100000\n", + " Component | low: 20/100000\n", + " Component | high: 70266/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=4.2] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00101044 [ 0.80 %]\n", - "Velocity : 0.00246949 [ 1.96 %]\n", - "Force : 0.0456844 [ 36.33 %]\n", - "Coefs : 0.0170915 [ 13.59 %]\n", - "Output : 0.00132255 [ 1.05 %]\n", - "Levels : 0.000225008 [ 0.18 %]\n", - "Report : 6.29e-07 [ 0.00 %]\n", - "Balance : 3.27e-07 [ 0.00 %]\n", - "Adjust : 0.0579049 [ 46.05 %]\n", - "Total : 0.125753 [100.00 %]\n", + "Drift : 0.000312014 [ 0.77 %]\n", + "Velocity : 0.000733989 [ 1.81 %]\n", + "Force : 0.014885 [ 36.61 %]\n", + "Coefs : 0.00618504 [ 15.21 %]\n", + "Output : 0.000537325 [ 1.32 %]\n", + "Levels : 0.000108825 [ 0.27 %]\n", + "Report : 1.92e-07 [ 0.00 %]\n", + "Balance : 1.68e-07 [ 0.00 %]\n", + "Adjust : 0.017885 [ 43.98 %]\n", + "Total : 0.0406637 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6647 395 89 9 2 \n", - "1 : 6650 405 79 3 5 \n", - "2 : 6647 416 72 3 4 \n", - "3 : 6655 413 68 4 2 \n", - "4 : 6629 423 80 7 3 \n", - "5 : 6647 400 83 10 2 \n", - "6 : 6656 384 95 3 4 \n", - "7 : 6615 424 90 8 5 \n", - "8 : 6653 406 69 11 3 \n", - "9 : 6642 405 90 3 2 \n", - "10 : 6663 382 86 7 4 \n", - "11 : 6604 457 73 4 4 \n", - "12 : 6648 406 79 7 2 \n", - "13 : 6647 416 83 4 4 \n", + "0 : 6649 395 89 6 3 \n", + "1 : 6668 391 71 5 7 \n", + "2 : 6615 419 97 7 4 \n", + "3 : 6651 397 86 5 3 \n", + "4 : 6615 417 98 7 5 \n", + "5 : 6649 413 69 9 2 \n", + "6 : 6613 426 95 7 1 \n", + "7 : 6620 422 95 2 3 \n", + "8 : 6670 392 70 5 5 \n", + "9 : 6664 396 74 6 2 \n", + "10 : 6644 407 80 5 6 \n", + "11 : 6614 435 84 7 2 \n", + "12 : 6627 429 78 2 6 \n", + "13 : 6677 385 84 5 3 \n", "\n", - "T : 93003 5732 1136 83 46 [100000]\n", + "T : 92976 5724 1170 78 52 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.5%\n", + "--- Coef/DT = 0.6%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.1038e-02 sec\n", - "--- Collate = 6.0315e-05 sec\n", + "--- Update = 3.6800e-03 sec\n", + "--- Collate = 2.4404e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.593984e-04 < 6.250000e-03 [23]\n", - "--- Max DT=3.051946e-01 > 1.000000e-01 [70298]\n", + "--- Min DT=2.587402e-05 < 6.250000e-03 [22]\n", + "--- Max DT=3.051400e-01 > 1.000000e-01 [70268]\n", "----------------------------------------------------------------------\n", - " Component | low: 23/100000\n", - " Component | high: 70298/100000\n", + " Component | low: 22/100000\n", + " Component | high: 70268/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=4.3] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00100949 [ 0.76 %]\n", - "Velocity : 0.00208016 [ 1.56 %]\n", - "Force : 0.0507532 [ 38.09 %]\n", - "Coefs : 0.0178871 [ 13.42 %]\n", - "Output : 0.00140335 [ 1.05 %]\n", - "Levels : 0.000251231 [ 0.19 %]\n", - "Report : 5.8e-07 [ 0.00 %]\n", - "Balance : 3.52e-07 [ 0.00 %]\n", - "Adjust : 0.0598238 [ 44.89 %]\n", - "Total : 0.133259 [100.00 %]\n", + "Drift : 0.000324233 [ 0.79 %]\n", + "Velocity : 0.000750389 [ 1.83 %]\n", + "Force : 0.014846 [ 36.26 %]\n", + "Coefs : 0.00625555 [ 15.28 %]\n", + "Output : 0.000541184 [ 1.32 %]\n", + "Levels : 0.000129638 [ 0.32 %]\n", + "Report : 2.04e-07 [ 0.00 %]\n", + "Balance : 1.71e-07 [ 0.00 %]\n", + "Adjust : 0.0180779 [ 44.15 %]\n", + "Total : 0.0409421 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6643 399 89 9 2 \n", - "1 : 6650 404 81 3 4 \n", - "2 : 6647 416 72 4 3 \n", - "3 : 6657 411 68 4 2 \n", - "4 : 6628 423 79 11 1 \n", - "5 : 6646 401 83 10 2 \n", - "6 : 6655 384 96 2 5 \n", - "7 : 6615 426 88 8 5 \n", - "8 : 6652 405 72 11 2 \n", - "9 : 6643 405 90 1 3 \n", - "10 : 6665 380 86 8 3 \n", - "11 : 6605 459 71 4 3 \n", - "12 : 6647 407 79 7 2 \n", - "13 : 6651 410 85 5 3 \n", + "0 : 6648 398 87 7 2 \n", + "1 : 6670 391 70 4 7 \n", + "2 : 6614 419 98 8 3 \n", + "3 : 6651 396 89 5 1 \n", + "4 : 6617 414 99 9 3 \n", + "5 : 6651 411 68 10 2 \n", + "6 : 6614 425 95 7 1 \n", + "7 : 6621 420 96 1 4 \n", + "8 : 6671 391 70 6 4 \n", + "9 : 6663 396 75 5 3 \n", + "10 : 6644 407 80 5 6 \n", + "11 : 6614 435 84 6 3 \n", + "12 : 6627 428 79 2 6 \n", + "13 : 6677 385 84 5 3 \n", "\n", - "T : 93004 5730 1139 87 40 [100000]\n", + "T : 92982 5716 1174 80 48 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.6%\n", + "--- Coef/DT = 0.4%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0726e-02 sec\n", - "--- Collate = 7.8892e-05 sec\n", + "--- Update = 3.7124e-03 sec\n", + "--- Collate = 2.3675e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.399596e-04 < 6.250000e-03 [26]\n", - "--- Max DT=3.052031e-01 > 1.000000e-01 [70306]\n", + "--- Min DT=7.311223e-05 < 6.250000e-03 [25]\n", + "--- Max DT=3.051482e-01 > 1.000000e-01 [70270]\n", "----------------------------------------------------------------------\n", - " Component | low: 26/100000\n", - " Component | high: 70306/100000\n", + " Component | low: 25/100000\n", + " Component | high: 70270/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=4.4] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00105817 [ 0.78 %]\n", - "Velocity : 0.00260534 [ 1.92 %]\n", - "Force : 0.0506886 [ 37.32 %]\n", - "Coefs : 0.0197019 [ 14.50 %]\n", - "Output : 0.0013056 [ 0.96 %]\n", - "Levels : 0.000247619 [ 0.18 %]\n", - "Report : 8.61e-07 [ 0.00 %]\n", - "Balance : 3.8e-07 [ 0.00 %]\n", - "Adjust : 0.0601798 [ 44.30 %]\n", - "Total : 0.135835 [100.00 %]\n", + "Drift : 0.000323753 [ 0.80 %]\n", + "Velocity : 0.000745537 [ 1.83 %]\n", + "Force : 0.0148729 [ 36.54 %]\n", + "Coefs : 0.00623129 [ 15.31 %]\n", + "Output : 0.000525879 [ 1.29 %]\n", + "Levels : 0.000112174 [ 0.28 %]\n", + "Report : 2.44e-07 [ 0.00 %]\n", + "Balance : 1.42e-07 [ 0.00 %]\n", + "Adjust : 0.0178749 [ 43.92 %]\n", + "Total : 0.0407024 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6644 397 90 9 2 \n", - "1 : 6647 407 81 4 3 \n", - "2 : 6646 416 73 3 4 \n", - "3 : 6660 409 68 3 2 \n", - "4 : 6630 422 78 12 0 \n", - "5 : 6647 399 84 9 3 \n", - "6 : 6656 385 94 2 5 \n", - "7 : 6617 424 88 7 6 \n", - "8 : 6650 407 74 9 2 \n", - "9 : 6644 403 91 1 3 \n", - "10 : 6666 380 85 8 3 \n", - "11 : 6606 456 73 4 3 \n", - "12 : 6647 406 80 7 2 \n", - "13 : 6650 413 83 5 3 \n", + "0 : 6648 395 90 7 2 \n", + "1 : 6669 390 72 4 7 \n", + "2 : 6613 420 98 8 3 \n", + "3 : 6651 397 89 4 1 \n", + "4 : 6618 412 101 7 4 \n", + "5 : 6650 412 68 10 2 \n", + "6 : 6614 425 95 6 2 \n", + "7 : 6621 421 94 3 3 \n", + "8 : 6671 390 71 6 4 \n", + "9 : 6663 396 74 7 2 \n", + "10 : 6645 406 79 7 5 \n", + "11 : 6615 433 85 6 3 \n", + "12 : 6628 426 81 1 6 \n", + "13 : 6676 386 84 6 2 \n", "\n", - "T : 93010 5724 1142 83 41 [100000]\n", + "T : 92982 5709 1181 82 46 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.6%\n", + "--- Coef/DT = 0.4%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0514e-02 sec\n", - "--- Collate = 1.0910e-04 sec\n", + "--- Update = 3.6488e-03 sec\n", + "--- Collate = 2.4595e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.845601e-04 < 6.250000e-03 [22]\n", - "--- Max DT=3.052112e-01 > 1.000000e-01 [70301]\n", + "--- Min DT=1.782543e-04 < 6.250000e-03 [21]\n", + "--- Max DT=3.051566e-01 > 1.000000e-01 [70270]\n", "----------------------------------------------------------------------\n", - " Component | low: 22/100000\n", - " Component | high: 70301/100000\n", + " Component | low: 21/100000\n", + " Component | high: 70270/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=4.5] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00102627 [ 0.77 %]\n", - "Velocity : 0.00248658 [ 1.86 %]\n", - "Force : 0.0506956 [ 37.95 %]\n", - "Coefs : 0.0199588 [ 14.94 %]\n", - "Output : 0.00128136 [ 0.96 %]\n", - "Levels : 0.000225741 [ 0.17 %]\n", - "Report : 1.031e-06 [ 0.00 %]\n", - "Balance : 3.29e-07 [ 0.00 %]\n", - "Adjust : 0.057868 [ 43.32 %]\n", - "Total : 0.133593 [100.00 %]\n", + "Drift : 0.000319683 [ 0.78 %]\n", + "Velocity : 0.00074416 [ 1.82 %]\n", + "Force : 0.0149685 [ 36.67 %]\n", + "Coefs : 0.00625279 [ 15.32 %]\n", + "Output : 0.000525799 [ 1.29 %]\n", + "Levels : 0.000105939 [ 0.26 %]\n", + "Report : 2.1e-07 [ 0.00 %]\n", + "Balance : 1.59e-07 [ 0.00 %]\n", + "Adjust : 0.0178894 [ 43.82 %]\n", + "Total : 0.040822 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6645 397 90 7 3 \n", - "1 : 6648 404 83 4 3 \n", - "2 : 6647 415 73 4 3 \n", - "3 : 6659 409 69 3 2 \n", - "4 : 6629 423 76 14 0 \n", - "5 : 6645 402 83 9 3 \n", - "6 : 6656 385 94 1 6 \n", - "7 : 6617 423 89 7 6 \n", - "8 : 6651 406 74 7 4 \n", - "9 : 6643 404 91 1 3 \n", - "10 : 6666 379 86 8 3 \n", - "11 : 6605 457 73 4 3 \n", - "12 : 6648 405 80 8 1 \n", - "13 : 6651 411 85 4 3 \n", + "0 : 6648 395 90 7 2 \n", + "1 : 6669 389 74 3 7 \n", + "2 : 6612 420 99 6 5 \n", + "3 : 6651 397 89 4 1 \n", + "4 : 6617 413 100 8 4 \n", + "5 : 6651 410 68 11 2 \n", + "6 : 6614 426 94 7 1 \n", + "7 : 6621 419 96 2 4 \n", + "8 : 6671 390 71 7 3 \n", + "9 : 6663 396 74 7 2 \n", + "10 : 6645 406 79 8 4 \n", + "11 : 6615 434 85 5 3 \n", + "12 : 6629 424 82 2 5 \n", + "13 : 6676 385 85 5 3 \n", "\n", - "T : 93010 5720 1146 81 43 [100000]\n", + "T : 92982 5704 1186 82 46 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.7%\n", + "--- Coef/DT = 0.5%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0239e-02 sec\n", - "--- Collate = 8.1597e-05 sec\n", + "--- Update = 3.6689e-03 sec\n", + "--- Collate = 2.2856e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.207054e-04 < 6.250000e-03 [21]\n", - "--- Max DT=3.052188e-01 > 1.000000e-01 [70302]\n", + "--- Min DT=4.588633e-05 < 6.250000e-03 [19]\n", + "--- Max DT=3.051642e-01 > 1.000000e-01 [70263]\n", "----------------------------------------------------------------------\n", - " Component | low: 21/100000\n", - " Component | high: 70302/100000\n", + " Component | low: 19/100000\n", + " Component | high: 70263/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=4.6] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00105296 [ 0.82 %]\n", - "Velocity : 0.00217934 [ 1.69 %]\n", - "Force : 0.0468287 [ 36.42 %]\n", - "Coefs : 0.0185003 [ 14.39 %]\n", - "Output : 0.00135304 [ 1.05 %]\n", - "Levels : 0.000231154 [ 0.18 %]\n", - "Report : 9.11e-07 [ 0.00 %]\n", - "Balance : 3.55e-07 [ 0.00 %]\n", - "Adjust : 0.0583941 [ 45.41 %]\n", - "Total : 0.128587 [100.00 %]\n", + "Drift : 0.000322609 [ 0.79 %]\n", + "Velocity : 0.000741537 [ 1.82 %]\n", + "Force : 0.0148818 [ 36.56 %]\n", + "Coefs : 0.00622662 [ 15.29 %]\n", + "Output : 0.000528526 [ 1.30 %]\n", + "Levels : 0.000107521 [ 0.26 %]\n", + "Report : 3.73e-07 [ 0.00 %]\n", + "Balance : 1.63e-07 [ 0.00 %]\n", + "Adjust : 0.0178855 [ 43.93 %]\n", + "Total : 0.0407104 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6644 398 90 6 4 \n", - "1 : 6649 404 82 4 3 \n", - "2 : 6646 415 73 6 2 \n", - "3 : 6657 411 69 2 3 \n", - "4 : 6629 423 76 13 1 \n", - "5 : 6647 401 83 7 4 \n", - "6 : 6655 386 94 2 5 \n", - "7 : 6616 423 90 6 7 \n", - "8 : 6651 407 72 8 4 \n", - "9 : 6643 405 90 1 3 \n", - "10 : 6666 377 89 5 5 \n", - "11 : 6602 461 73 3 3 \n", - "12 : 6649 404 81 7 1 \n", - "13 : 6650 413 85 3 3 \n", + "0 : 6648 395 90 8 1 \n", + "1 : 6669 389 75 1 8 \n", + "2 : 6613 421 97 6 5 \n", + "3 : 6653 396 88 4 1 \n", + "4 : 6617 412 100 8 5 \n", + "5 : 6650 410 69 10 3 \n", + "6 : 6615 424 95 7 1 \n", + "7 : 6620 420 95 3 4 \n", + "8 : 6671 391 70 7 3 \n", + "9 : 6663 396 75 6 2 \n", + "10 : 6642 410 79 6 5 \n", + "11 : 6614 436 83 6 3 \n", + "12 : 6631 422 82 3 4 \n", + "13 : 6676 384 86 5 3 \n", "\n", - "T : 93004 5728 1147 73 48 [100000]\n", + "T : 92982 5706 1184 80 48 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 0.6%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.1245e-02 sec\n", - "--- Collate = 5.9198e-05 sec\n", + "--- Update = 3.5181e-03 sec\n", + "--- Collate = 2.4748e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.145434e-04 < 6.250000e-03 [18]\n", - "--- Max DT=3.052256e-01 > 1.000000e-01 [70302]\n", + "--- Min DT=2.206647e-06 < 6.250000e-03 [19]\n", + "--- Max DT=3.051722e-01 > 1.000000e-01 [70274]\n", "----------------------------------------------------------------------\n", - " Component | low: 18/100000\n", - " Component | high: 70302/100000\n", + " Component | low: 19/100000\n", + " Component | high: 70274/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=4.7] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000984814 [ 0.74 %]\n", - "Velocity : 0.00212897 [ 1.60 %]\n", - "Force : 0.0478546 [ 35.98 %]\n", - "Coefs : 0.0183043 [ 13.76 %]\n", - "Output : 0.00131472 [ 0.99 %]\n", - "Levels : 0.000238799 [ 0.18 %]\n", - "Report : 5.71e-07 [ 0.00 %]\n", - "Balance : 1.015e-06 [ 0.00 %]\n", - "Adjust : 0.0621375 [ 46.72 %]\n", - "Total : 0.133013 [100.00 %]\n", + "Drift : 0.000313685 [ 0.77 %]\n", + "Velocity : 0.000730402 [ 1.80 %]\n", + "Force : 0.0149308 [ 36.77 %]\n", + "Coefs : 0.00621818 [ 15.31 %]\n", + "Output : 0.000537684 [ 1.32 %]\n", + "Levels : 0.000120993 [ 0.30 %]\n", + "Report : 1.9e-07 [ 0.00 %]\n", + "Balance : 1.7e-07 [ 0.00 %]\n", + "Adjust : 0.0177399 [ 43.69 %]\n", + "Total : 0.040607 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6647 395 89 7 4 \n", - "1 : 6650 403 82 7 0 \n", - "2 : 6647 415 72 6 2 \n", - "3 : 6658 409 70 1 4 \n", - "4 : 6628 425 76 12 1 \n", - "5 : 6648 400 84 6 4 \n", - "6 : 6656 385 94 1 6 \n", - "7 : 6618 420 91 7 6 \n", - "8 : 6651 407 71 9 4 \n", - "9 : 6642 406 89 3 2 \n", - "10 : 6665 380 87 5 5 \n", - "11 : 6603 459 73 4 3 \n", - "12 : 6652 401 81 7 1 \n", - "13 : 6650 412 86 3 3 \n", + "0 : 6648 394 91 8 1 \n", + "1 : 6670 387 75 3 7 \n", + "2 : 6614 420 97 6 5 \n", + "3 : 6654 396 87 3 2 \n", + "4 : 6616 414 100 8 4 \n", + "5 : 6653 406 70 10 3 \n", + "6 : 6615 424 95 7 1 \n", + "7 : 6622 418 95 3 4 \n", + "8 : 6671 391 70 8 2 \n", + "9 : 6664 396 75 5 2 \n", + "10 : 6640 412 80 4 6 \n", + "11 : 6614 436 83 7 2 \n", + "12 : 6632 420 82 5 3 \n", + "13 : 6679 381 87 4 3 \n", "\n", - "T : 93015 5717 1145 78 45 [100000]\n", + "T : 92992 5695 1187 81 45 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.6%\n", + "--- Coef/DT = 0.5%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0875e-02 sec\n", - "--- Collate = 7.2951e-05 sec\n", + "--- Update = 3.6479e-03 sec\n", + "--- Collate = 2.3825e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.394622e-04 < 6.250000e-03 [18]\n", - "--- Max DT=3.052319e-01 > 1.000000e-01 [70303]\n", + "--- Min DT=9.046133e-05 < 6.250000e-03 [20]\n", + "--- Max DT=3.051799e-01 > 1.000000e-01 [70271]\n", "----------------------------------------------------------------------\n", - " Component | low: 18/100000\n", - " Component | high: 70303/100000\n", + " Component | low: 20/100000\n", + " Component | high: 70271/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=4.8] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000912847 [ 0.72 %]\n", - "Velocity : 0.00211433 [ 1.67 %]\n", - "Force : 0.0445501 [ 35.20 %]\n", - "Coefs : 0.0179408 [ 14.17 %]\n", - "Output : 0.00134984 [ 1.07 %]\n", - "Levels : 0.000231346 [ 0.18 %]\n", - "Report : 7.79e-07 [ 0.00 %]\n", - "Balance : 3.66e-07 [ 0.00 %]\n", - "Adjust : 0.0594222 [ 46.95 %]\n", - "Total : 0.126571 [100.00 %]\n", + "Drift : 0.000321125 [ 0.79 %]\n", + "Velocity : 0.000736542 [ 1.82 %]\n", + "Force : 0.0148018 [ 36.48 %]\n", + "Coefs : 0.00621016 [ 15.31 %]\n", + "Output : 0.000529358 [ 1.30 %]\n", + "Levels : 0.00011107 [ 0.27 %]\n", + "Report : 1.9e-07 [ 0.00 %]\n", + "Balance : 1.72e-07 [ 0.00 %]\n", + "Adjust : 0.0178477 [ 43.99 %]\n", + "Total : 0.0405744 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6647 396 88 6 5 \n", - "1 : 6651 402 82 6 1 \n", - "2 : 6647 416 71 6 2 \n", - "3 : 6658 409 68 3 4 \n", - "4 : 6628 426 75 12 1 \n", - "5 : 6649 399 83 7 4 \n", - "6 : 6655 385 95 2 5 \n", - "7 : 6619 416 94 9 4 \n", - "8 : 6653 401 76 10 2 \n", - "9 : 6641 407 88 5 1 \n", - "10 : 6666 378 86 8 4 \n", - "11 : 6604 458 73 4 3 \n", - "12 : 6651 402 82 6 1 \n", - "13 : 6648 415 85 3 3 \n", + "0 : 6648 395 90 8 1 \n", + "1 : 6670 387 74 6 5 \n", + "2 : 6613 421 97 5 6 \n", + "3 : 6654 396 87 3 2 \n", + "4 : 6612 419 98 8 5 \n", + "5 : 6652 407 71 9 3 \n", + "6 : 6615 424 96 6 1 \n", + "7 : 6622 418 95 3 4 \n", + "8 : 6674 388 70 8 2 \n", + "9 : 6663 398 74 6 1 \n", + "10 : 6639 413 79 5 6 \n", + "11 : 6614 437 83 6 2 \n", + "12 : 6630 423 80 7 2 \n", + "13 : 6680 380 85 6 3 \n", "\n", - "T : 93017 5710 1146 87 40 [100000]\n", + "T : 92986 5706 1179 86 43 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 0.6%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.1244e-02 sec\n", - "--- Collate = 7.5169e-05 sec\n", + "--- Update = 3.7249e-03 sec\n", + "--- Collate = 2.5610e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.678410e-04 < 6.250000e-03 [22]\n", - "--- Max DT=3.052377e-01 > 1.000000e-01 [70298]\n", + "--- Min DT=8.562781e-05 < 6.250000e-03 [19]\n", + "--- Max DT=3.051879e-01 > 1.000000e-01 [70263]\n", "----------------------------------------------------------------------\n", - " Component | low: 22/100000\n", - " Component | high: 70298/100000\n", + " Component | low: 19/100000\n", + " Component | high: 70263/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=4.9] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00102924 [ 0.75 %]\n", - "Velocity : 0.00269151 [ 1.97 %]\n", - "Force : 0.0502959 [ 36.81 %]\n", - "Coefs : 0.0198753 [ 14.55 %]\n", - "Output : 0.00139109 [ 1.02 %]\n", - "Levels : 0.000269955 [ 0.20 %]\n", - "Report : 9.24e-07 [ 0.00 %]\n", - "Balance : 3.63e-07 [ 0.00 %]\n", - "Adjust : 0.061034 [ 44.67 %]\n", - "Total : 0.136639 [100.00 %]\n", + "Drift : 0.000325747 [ 0.80 %]\n", + "Velocity : 0.000735366 [ 1.81 %]\n", + "Force : 0.0148099 [ 36.50 %]\n", + "Coefs : 0.00625431 [ 15.41 %]\n", + "Output : 0.000524846 [ 1.29 %]\n", + "Levels : 0.000109447 [ 0.27 %]\n", + "Report : 2.18e-07 [ 0.00 %]\n", + "Balance : 1.66e-07 [ 0.00 %]\n", + "Adjust : 0.0178006 [ 43.87 %]\n", + "Total : 0.0405766 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6646 397 88 7 4 \n", - "1 : 6649 404 82 6 1 \n", - "2 : 6648 415 72 5 2 \n", - "3 : 6658 409 67 5 3 \n", - "4 : 6627 427 75 11 2 \n", - "5 : 6648 399 84 8 3 \n", - "6 : 6653 385 98 1 5 \n", - "7 : 6620 416 93 9 4 \n", - "8 : 6651 405 75 8 3 \n", - "9 : 6639 408 90 4 1 \n", - "10 : 6662 382 87 8 3 \n", - "11 : 6603 459 73 4 3 \n", - "12 : 6651 403 82 5 1 \n", - "13 : 6646 417 85 5 1 \n", + "0 : 6647 398 88 7 2 \n", + "1 : 6670 388 73 6 5 \n", + "2 : 6613 420 98 5 6 \n", + "3 : 6655 396 86 4 1 \n", + "4 : 6611 419 98 9 5 \n", + "5 : 6651 408 72 9 2 \n", + "6 : 6615 425 96 5 1 \n", + "7 : 6622 418 95 4 3 \n", + "8 : 6675 387 71 5 4 \n", + "9 : 6664 397 75 4 2 \n", + "10 : 6639 411 81 8 3 \n", + "11 : 6613 438 83 7 1 \n", + "12 : 6630 421 81 9 1 \n", + "13 : 6680 380 86 5 3 \n", "\n", - "T : 93001 5726 1151 86 36 [100000]\n", + "T : 92985 5706 1183 87 39 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.5%\n", + "--- Coef/DT = 0.6%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.1214e-02 sec\n", - "--- Collate = 8.3744e-05 sec\n", + "--- Update = 3.6113e-03 sec\n", + "--- Collate = 2.2190e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.458162e-06 < 6.250000e-03 [20]\n", - "--- Max DT=3.052435e-01 > 1.000000e-01 [70299]\n", + "--- Min DT=4.592809e-04 < 6.250000e-03 [14]\n", + "--- Max DT=3.051958e-01 > 1.000000e-01 [70266]\n", "----------------------------------------------------------------------\n", - " Component | low: 20/100000\n", - " Component | high: 70299/100000\n", + " Component | low: 14/100000\n", + " Component | high: 70266/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=5] -------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000700628 [ 0.51 %]\n", - "Velocity : 0.00266648 [ 1.93 %]\n", - "Force : 0.0497114 [ 35.92 %]\n", - "Coefs : 0.0192405 [ 13.90 %]\n", - "Output : 0.0071309 [ 5.15 %]\n", - "Levels : 0.000242874 [ 0.18 %]\n", - "Report : 1.4e-06 [ 0.00 %]\n", - "Balance : 6.47e-07 [ 0.00 %]\n", - "Adjust : 0.0586379 [ 42.37 %]\n", - "Total : 0.138384 [100.00 %]\n", + "Drift : 0.00031409 [ 0.74 %]\n", + "Velocity : 0.000728457 [ 1.70 %]\n", + "Force : 0.0148916 [ 34.85 %]\n", + "Coefs : 0.00625342 [ 14.64 %]\n", + "Output : 0.00264768 [ 6.20 %]\n", + "Levels : 0.000110688 [ 0.26 %]\n", + "Report : 3.87e-07 [ 0.00 %]\n", + "Balance : 2.31e-07 [ 0.00 %]\n", + "Adjust : 0.0177669 [ 41.58 %]\n", + "Total : 0.0427286 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6646 397 88 7 4 \n", - "1 : 6649 403 83 6 1 \n", - "2 : 6648 415 73 4 2 \n", - "3 : 6661 407 67 4 3 \n", - "4 : 6626 429 75 10 2 \n", - "5 : 6647 400 84 9 2 \n", - "6 : 6653 384 99 1 5 \n", - "7 : 6620 416 94 9 3 \n", - "8 : 6650 406 75 7 4 \n", - "9 : 6641 406 90 3 2 \n", - "10 : 6662 383 86 9 2 \n", - "11 : 6603 459 73 4 3 \n", - "12 : 6650 403 83 3 3 \n", - "13 : 6645 417 85 6 1 \n", + "0 : 6647 400 86 7 2 \n", + "1 : 6669 390 73 7 3 \n", + "2 : 6613 420 97 6 6 \n", + "3 : 6656 395 86 4 1 \n", + "4 : 6611 418 99 9 5 \n", + "5 : 6651 407 73 8 3 \n", + "6 : 6617 424 95 5 1 \n", + "7 : 6622 417 95 5 3 \n", + "8 : 6674 388 70 7 3 \n", + "9 : 6664 397 75 4 2 \n", + "10 : 6638 412 80 9 3 \n", + "11 : 6613 438 83 6 2 \n", + "12 : 6630 421 81 9 1 \n", + "13 : 6679 380 86 7 2 \n", "\n", - "T : 93001 5725 1155 82 37 [100000]\n", + "T : 92984 5707 1179 93 37 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.9%\n", + "--- Coef/DT = 0.5%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0193e-02 sec\n", - "--- Collate = 7.5015e-05 sec\n", + "--- Update = 3.5491e-03 sec\n", + "--- Collate = 2.3581e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.210260e-05 < 6.250000e-03 [23]\n", - "--- Max DT=3.052499e-01 > 1.000000e-01 [70299]\n", + "--- Min DT=4.204646e-04 < 6.250000e-03 [16]\n", + "--- Max DT=3.052039e-01 > 1.000000e-01 [70269]\n", "----------------------------------------------------------------------\n", - " Component | low: 23/100000\n", - " Component | high: 70299/100000\n", + " Component | low: 16/100000\n", + " Component | high: 70269/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=5.1] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00102627 [ 0.81 %]\n", - "Velocity : 0.00288795 [ 2.29 %]\n", - "Force : 0.0466051 [ 36.94 %]\n", - "Coefs : 0.0172924 [ 13.71 %]\n", - "Output : 0.00144549 [ 1.15 %]\n", - "Levels : 0.000306847 [ 0.24 %]\n", - "Report : 9.14e-07 [ 0.00 %]\n", - "Balance : 3.58e-07 [ 0.00 %]\n", - "Adjust : 0.0565414 [ 44.82 %]\n", - "Total : 0.126155 [100.00 %]\n", + "Drift : 0.000305455 [ 0.75 %]\n", + "Velocity : 0.000732908 [ 1.79 %]\n", + "Force : 0.0150098 [ 36.63 %]\n", + "Coefs : 0.00625856 [ 15.27 %]\n", + "Output : 0.000565737 [ 1.38 %]\n", + "Levels : 0.000142559 [ 0.35 %]\n", + "Report : 3.29e-07 [ 0.00 %]\n", + "Balance : 1.68e-07 [ 0.00 %]\n", + "Adjust : 0.0179486 [ 43.80 %]\n", + "Total : 0.0409798 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6644 398 88 9 3 \n", - "1 : 6649 402 84 6 1 \n", - "2 : 6648 413 75 5 1 \n", - "3 : 6660 408 67 4 3 \n", - "4 : 6626 428 76 8 4 \n", - "5 : 6648 400 82 9 3 \n", - "6 : 6653 384 98 3 4 \n", - "7 : 6619 417 95 8 3 \n", - "8 : 6649 408 74 7 4 \n", - "9 : 6641 407 89 3 2 \n", - "10 : 6660 385 85 8 4 \n", - "11 : 6601 461 73 4 3 \n", - "12 : 6651 403 82 2 4 \n", - "13 : 6645 416 86 6 1 \n", + "0 : 6646 402 85 7 2 \n", + "1 : 6670 389 73 7 3 \n", + "2 : 6613 420 97 6 6 \n", + "3 : 6657 392 88 4 1 \n", + "4 : 6613 417 100 9 3 \n", + "5 : 6651 407 73 9 2 \n", + "6 : 6617 424 95 5 1 \n", + "7 : 6622 416 97 5 2 \n", + "8 : 6675 387 70 7 3 \n", + "9 : 6661 400 75 4 2 \n", + "10 : 6639 411 80 8 4 \n", + "11 : 6615 437 82 5 3 \n", + "12 : 6631 421 80 9 1 \n", + "13 : 6679 381 85 6 3 \n", "\n", - "T : 92994 5730 1154 82 40 [100000]\n", + "T : 92989 5704 1180 91 36 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.9%\n", + "--- Coef/DT = 0.5%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0237e-02 sec\n", - "--- Collate = 9.4784e-05 sec\n", + "--- Update = 3.5768e-03 sec\n", + "--- Collate = 2.5745e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.245464e-04 < 6.250000e-03 [20]\n", - "--- Max DT=3.052563e-01 > 1.000000e-01 [70304]\n", + "--- Min DT=1.916643e-04 < 6.250000e-03 [17]\n", + "--- Max DT=3.052122e-01 > 1.000000e-01 [70276]\n", "----------------------------------------------------------------------\n", - " Component | low: 20/100000\n", - " Component | high: 70304/100000\n", + " Component | low: 17/100000\n", + " Component | high: 70276/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=5.2] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000966625 [ 0.78 %]\n", - "Velocity : 0.00271963 [ 2.21 %]\n", - "Force : 0.0447938 [ 36.36 %]\n", - "Coefs : 0.0176889 [ 14.36 %]\n", - "Output : 0.00136578 [ 1.11 %]\n", - "Levels : 0.000244959 [ 0.20 %]\n", - "Report : 8.82e-07 [ 0.00 %]\n", - "Balance : 3.18e-07 [ 0.00 %]\n", - "Adjust : 0.0553747 [ 44.95 %]\n", - "Total : 0.123201 [100.00 %]\n", + "Drift : 0.000312819 [ 0.77 %]\n", + "Velocity : 0.000725218 [ 1.77 %]\n", + "Force : 0.014952 [ 36.57 %]\n", + "Coefs : 0.00621931 [ 15.21 %]\n", + "Output : 0.00054045 [ 1.32 %]\n", + "Levels : 0.000108514 [ 0.27 %]\n", + "Report : 3.47e-07 [ 0.00 %]\n", + "Balance : 1.69e-07 [ 0.00 %]\n", + "Adjust : 0.0180108 [ 44.05 %]\n", + "Total : 0.0408865 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6646 394 90 9 3 \n", - "1 : 6648 404 83 5 2 \n", - "2 : 6649 412 75 5 1 \n", - "3 : 6663 404 68 3 4 \n", - "4 : 6625 427 78 8 4 \n", - "5 : 6649 398 82 10 3 \n", - "6 : 6650 386 99 4 3 \n", - "7 : 6619 417 96 8 2 \n", - "8 : 6650 407 74 7 4 \n", - "9 : 6644 405 88 2 3 \n", - "10 : 6659 387 85 7 4 \n", - "11 : 6600 462 73 4 3 \n", - "12 : 6652 402 82 2 4 \n", - "13 : 6646 415 85 7 1 \n", + "0 : 6645 403 84 7 3 \n", + "1 : 6671 388 74 6 3 \n", + "2 : 6613 420 97 7 5 \n", + "3 : 6657 393 87 4 1 \n", + "4 : 6613 416 101 8 4 \n", + "5 : 6651 407 73 10 1 \n", + "6 : 6617 426 93 5 1 \n", + "7 : 6622 416 97 5 2 \n", + "8 : 6674 389 69 7 3 \n", + "9 : 6660 403 73 4 2 \n", + "10 : 6641 409 80 8 4 \n", + "11 : 6616 434 85 3 4 \n", + "12 : 6631 421 82 7 1 \n", + "13 : 6679 380 86 3 6 \n", "\n", - "T : 93000 5720 1158 81 41 [100000]\n", + "T : 92990 5705 1181 84 40 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.9%\n", + "--- Coef/DT = 0.5%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.1389e-02 sec\n", - "--- Collate = 1.3156e-04 sec\n", + "--- Update = 3.5850e-03 sec\n", + "--- Collate = 2.5350e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.327872e-04 < 6.250000e-03 [20]\n", - "--- Max DT=3.052628e-01 > 1.000000e-01 [70298]\n", + "--- Min DT=7.141400e-07 < 6.250000e-03 [16]\n", + "--- Max DT=3.052205e-01 > 1.000000e-01 [70274]\n", "----------------------------------------------------------------------\n", - " Component | low: 20/100000\n", - " Component | high: 70298/100000\n", + " Component | low: 16/100000\n", + " Component | high: 70274/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=5.3] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000909837 [ 0.71 %]\n", - "Velocity : 0.00256549 [ 2.01 %]\n", - "Force : 0.0459199 [ 35.94 %]\n", - "Coefs : 0.0176341 [ 13.80 %]\n", - "Output : 0.00149242 [ 1.17 %]\n", - "Levels : 0.000294424 [ 0.23 %]\n", - "Report : 8.66e-07 [ 0.00 %]\n", - "Balance : 3.91e-07 [ 0.00 %]\n", - "Adjust : 0.0589203 [ 46.11 %]\n", - "Total : 0.127786 [100.00 %]\n", + "Drift : 0.000321679 [ 0.78 %]\n", + "Velocity : 0.000730146 [ 1.78 %]\n", + "Force : 0.0150016 [ 36.55 %]\n", + "Coefs : 0.00633941 [ 15.45 %]\n", + "Output : 0.000535066 [ 1.30 %]\n", + "Levels : 0.000107097 [ 0.26 %]\n", + "Report : 2.09e-07 [ 0.00 %]\n", + "Balance : 1.67e-07 [ 0.00 %]\n", + "Adjust : 0.0179875 [ 43.83 %]\n", + "Total : 0.0410389 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6644 396 90 8 4 \n", - "1 : 6649 404 81 6 2 \n", - "2 : 6651 411 74 5 1 \n", - "3 : 6663 404 67 4 4 \n", - "4 : 6623 429 79 7 4 \n", - "5 : 6650 398 81 11 2 \n", - "6 : 6651 385 98 5 3 \n", - "7 : 6617 419 95 8 3 \n", - "8 : 6650 406 76 6 4 \n", - "9 : 6643 406 87 3 3 \n", - "10 : 6658 388 84 8 4 \n", - "11 : 6600 461 74 4 3 \n", - "12 : 6652 402 81 3 4 \n", - "13 : 6650 411 86 6 1 \n", + "0 : 6645 403 84 7 3 \n", + "1 : 6671 388 74 7 2 \n", + "2 : 6614 420 95 10 3 \n", + "3 : 6657 393 85 5 2 \n", + "4 : 6612 417 100 7 6 \n", + "5 : 6651 407 73 10 1 \n", + "6 : 6617 426 94 4 1 \n", + "7 : 6622 416 97 6 1 \n", + "8 : 6675 388 69 7 3 \n", + "9 : 6660 403 73 5 1 \n", + "10 : 6639 409 83 7 4 \n", + "11 : 6616 433 86 4 3 \n", + "12 : 6630 421 84 6 1 \n", + "13 : 6678 382 85 2 7 \n", "\n", - "T : 93001 5720 1153 84 42 [100000]\n", + "T : 92987 5706 1182 87 38 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.7%\n", + "--- Coef/DT = 0.8%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.1592e-02 sec\n", - "--- Collate = 7.2097e-05 sec\n", + "--- Update = 3.6893e-03 sec\n", + "--- Collate = 2.6688e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.628475e-04 < 6.250000e-03 [21]\n", - "--- Max DT=3.052698e-01 > 1.000000e-01 [70302]\n", + "--- Min DT=3.337613e-04 < 6.250000e-03 [21]\n", + "--- Max DT=3.052292e-01 > 1.000000e-01 [70272]\n", "----------------------------------------------------------------------\n", " Component | low: 21/100000\n", - " Component | high: 70302/100000\n", + " Component | high: 70272/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=5.4] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000646024 [ 0.48 %]\n", - "Velocity : 0.00217099 [ 1.62 %]\n", - "Force : 0.049002 [ 36.56 %]\n", - "Coefs : 0.0196615 [ 14.67 %]\n", - "Output : 0.00137593 [ 1.03 %]\n", - "Levels : 0.000289366 [ 0.22 %]\n", - "Report : 9.46e-07 [ 0.00 %]\n", - "Balance : 3.28e-07 [ 0.00 %]\n", - "Adjust : 0.0608463 [ 45.39 %]\n", - "Total : 0.134045 [100.00 %]\n", + "Drift : 0.000333258 [ 0.82 %]\n", + "Velocity : 0.000788186 [ 1.93 %]\n", + "Force : 0.0148425 [ 36.39 %]\n", + "Coefs : 0.00626724 [ 15.36 %]\n", + "Output : 0.000534408 [ 1.31 %]\n", + "Levels : 0.000113007 [ 0.28 %]\n", + "Report : 2.04e-07 [ 0.00 %]\n", + "Balance : 1.47e-07 [ 0.00 %]\n", + "Adjust : 0.0178973 [ 43.87 %]\n", + "Total : 0.0407923 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6642 397 92 9 2 \n", - "1 : 6649 405 81 5 2 \n", - "2 : 6651 411 73 6 1 \n", - "3 : 6665 402 67 4 4 \n", - "4 : 6621 431 80 6 4 \n", - "5 : 6651 398 80 11 2 \n", - "6 : 6652 385 98 5 2 \n", - "7 : 6618 418 95 7 4 \n", - "8 : 6653 403 76 6 4 \n", - "9 : 6642 407 87 3 3 \n", - "10 : 6658 389 82 8 5 \n", - "11 : 6597 464 74 3 4 \n", - "12 : 6652 402 80 4 4 \n", - "13 : 6650 411 86 6 1 \n", + "0 : 6644 405 83 7 3 \n", + "1 : 6671 388 75 6 2 \n", + "2 : 6613 420 96 10 3 \n", + "3 : 6659 391 85 5 2 \n", + "4 : 6614 415 100 6 7 \n", + "5 : 6651 408 72 10 1 \n", + "6 : 6616 426 95 4 1 \n", + "7 : 6620 419 98 3 2 \n", + "8 : 6674 389 69 6 4 \n", + "9 : 6659 404 74 4 1 \n", + "10 : 6640 408 83 7 4 \n", + "11 : 6617 433 84 5 3 \n", + "12 : 6629 422 85 4 2 \n", + "13 : 6677 383 85 3 6 \n", "\n", - "T : 93001 5723 1151 83 42 [100000]\n", + "T : 92984 5711 1184 80 41 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 0.5%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0526e-02 sec\n", - "--- Collate = 6.9630e-05 sec\n", + "--- Update = 3.5315e-03 sec\n", + "--- Collate = 2.3806e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.012536e-04 < 6.250000e-03 [22]\n", - "--- Max DT=3.052770e-01 > 1.000000e-01 [70309]\n", + "--- Min DT=1.727697e-05 < 6.250000e-03 [27]\n", + "--- Max DT=3.052377e-01 > 1.000000e-01 [70270]\n", "----------------------------------------------------------------------\n", - " Component | low: 22/100000\n", - " Component | high: 70309/100000\n", + " Component | low: 27/100000\n", + " Component | high: 70270/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=5.5] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000992021 [ 0.78 %]\n", - "Velocity : 0.0021293 [ 1.67 %]\n", - "Force : 0.0453589 [ 35.66 %]\n", - "Coefs : 0.018697 [ 14.70 %]\n", - "Output : 0.00137357 [ 1.08 %]\n", - "Levels : 0.000221605 [ 0.17 %]\n", - "Report : 6.91e-07 [ 0.00 %]\n", - "Balance : 3.65e-07 [ 0.00 %]\n", - "Adjust : 0.05837 [ 45.89 %]\n", - "Total : 0.127191 [100.00 %]\n", + "Drift : 0.000335963 [ 0.82 %]\n", + "Velocity : 0.000732627 [ 1.79 %]\n", + "Force : 0.0150656 [ 36.78 %]\n", + "Coefs : 0.00634094 [ 15.48 %]\n", + "Output : 0.000518574 [ 1.27 %]\n", + "Levels : 0.00011043 [ 0.27 %]\n", + "Report : 1.97e-07 [ 0.00 %]\n", + "Balance : 1.62e-07 [ 0.00 %]\n", + "Adjust : 0.0178369 [ 43.55 %]\n", + "Total : 0.0409574 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6642 398 91 9 2 \n", - "1 : 6647 407 81 5 2 \n", - "2 : 6649 413 73 6 1 \n", - "3 : 6665 402 68 3 4 \n", - "4 : 6621 431 80 6 4 \n", - "5 : 6651 398 82 9 2 \n", - "6 : 6651 387 97 6 1 \n", - "7 : 6616 419 96 7 4 \n", - "8 : 6653 403 75 7 4 \n", - "9 : 6643 408 85 3 3 \n", - "10 : 6659 387 82 6 8 \n", - "11 : 6596 465 74 3 4 \n", - "12 : 6651 405 78 4 4 \n", - "13 : 6651 410 86 6 1 \n", + "0 : 6643 406 83 6 4 \n", + "1 : 6672 387 73 7 3 \n", + "2 : 6612 422 96 9 3 \n", + "3 : 6661 390 83 6 2 \n", + "4 : 6610 419 100 6 7 \n", + "5 : 6651 410 69 10 2 \n", + "6 : 6616 426 95 4 1 \n", + "7 : 6620 419 97 5 1 \n", + "8 : 6674 389 69 5 5 \n", + "9 : 6659 405 73 3 2 \n", + "10 : 6640 408 83 7 4 \n", + "11 : 6618 433 82 6 3 \n", + "12 : 6630 421 85 4 2 \n", + "13 : 6677 383 85 3 6 \n", "\n", - "T : 92995 5733 1148 80 44 [100000]\n", + "T : 92983 5718 1173 81 45 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.7%\n", + "--- Coef/DT = 0.6%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0101e-02 sec\n", - "--- Collate = 6.8775e-05 sec\n", + "--- Update = 3.6357e-03 sec\n", + "--- Collate = 2.5348e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.028425e-05 < 6.250000e-03 [21]\n", - "--- Max DT=3.052839e-01 > 1.000000e-01 [70305]\n", + "--- Min DT=2.551659e-05 < 6.250000e-03 [27]\n", + "--- Max DT=3.052462e-01 > 1.000000e-01 [70272]\n", "----------------------------------------------------------------------\n", - " Component | low: 21/100000\n", - " Component | high: 70305/100000\n", + " Component | low: 27/100000\n", + " Component | high: 70272/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=5.6] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000967712 [ 0.75 %]\n", - "Velocity : 0.00241173 [ 1.86 %]\n", - "Force : 0.0473392 [ 36.58 %]\n", - "Coefs : 0.0177425 [ 13.71 %]\n", - "Output : 0.00145616 [ 1.13 %]\n", - "Levels : 0.000275599 [ 0.21 %]\n", - "Report : 8.95e-07 [ 0.00 %]\n", - "Balance : 3.12e-07 [ 0.00 %]\n", - "Adjust : 0.0591832 [ 45.73 %]\n", - "Total : 0.129423 [100.00 %]\n", + "Drift : 0.000316274 [ 0.77 %]\n", + "Velocity : 0.000734205 [ 1.79 %]\n", + "Force : 0.0149964 [ 36.59 %]\n", + "Coefs : 0.00624974 [ 15.25 %]\n", + "Output : 0.000542864 [ 1.32 %]\n", + "Levels : 0.000122589 [ 0.30 %]\n", + "Report : 2.04e-07 [ 0.00 %]\n", + "Balance : 1.63e-07 [ 0.00 %]\n", + "Adjust : 0.0180095 [ 43.94 %]\n", + "Total : 0.0409883 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6639 402 90 9 2 \n", - "1 : 6646 408 81 4 3 \n", - "2 : 6651 411 73 6 1 \n", - "3 : 6664 403 69 3 3 \n", - "4 : 6623 428 81 7 3 \n", - "5 : 6650 399 82 8 3 \n", - "6 : 6650 388 97 6 1 \n", - "7 : 6616 420 94 6 6 \n", - "8 : 6655 401 75 7 4 \n", - "9 : 6642 408 88 1 3 \n", - "10 : 6659 387 82 6 8 \n", - "11 : 6597 463 76 3 3 \n", - "12 : 6651 406 77 4 4 \n", - "13 : 6650 409 88 6 1 \n", + "0 : 6642 407 83 4 6 \n", + "1 : 6673 385 74 8 2 \n", + "2 : 6612 421 97 9 3 \n", + "3 : 6662 388 84 6 2 \n", + "4 : 6612 416 100 7 7 \n", + "5 : 6651 411 68 8 4 \n", + "6 : 6616 425 94 6 1 \n", + "7 : 6620 420 96 4 2 \n", + "8 : 6675 387 70 7 3 \n", + "9 : 6660 405 71 4 2 \n", + "10 : 6640 408 82 8 4 \n", + "11 : 6618 434 81 5 4 \n", + "12 : 6628 422 87 4 1 \n", + "13 : 6677 383 85 3 6 \n", "\n", - "T : 92993 5733 1153 76 45 [100000]\n", + "T : 92986 5712 1172 83 47 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.5%\n", + "--- Coef/DT = 0.6%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0439e-02 sec\n", - "--- Collate = 8.8071e-05 sec\n", + "--- Update = 3.5942e-03 sec\n", + "--- Collate = 2.3776e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.817243e-05 < 6.250000e-03 [23]\n", - "--- Max DT=3.052914e-01 > 1.000000e-01 [70308]\n", + "--- Min DT=2.087232e-05 < 6.250000e-03 [25]\n", + "--- Max DT=3.052545e-01 > 1.000000e-01 [70269]\n", "----------------------------------------------------------------------\n", - " Component | low: 23/100000\n", - " Component | high: 70308/100000\n", + " Component | low: 25/100000\n", + " Component | high: 70269/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=5.7] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000641853 [ 0.50 %]\n", - "Velocity : 0.00206686 [ 1.62 %]\n", - "Force : 0.0470759 [ 36.81 %]\n", - "Coefs : 0.017428 [ 13.63 %]\n", - "Output : 0.00140058 [ 1.10 %]\n", - "Levels : 0.000252886 [ 0.20 %]\n", - "Report : 7.2e-07 [ 0.00 %]\n", - "Balance : 3.57e-07 [ 0.00 %]\n", - "Adjust : 0.0589833 [ 46.12 %]\n", - "Total : 0.127895 [100.00 %]\n", + "Drift : 0.000318696 [ 0.78 %]\n", + "Velocity : 0.000743889 [ 1.82 %]\n", + "Force : 0.0150276 [ 36.71 %]\n", + "Coefs : 0.00628854 [ 15.36 %]\n", + "Output : 0.000531963 [ 1.30 %]\n", + "Levels : 0.000108331 [ 0.26 %]\n", + "Report : 2e-07 [ 0.00 %]\n", + "Balance : 1.64e-07 [ 0.00 %]\n", + "Adjust : 0.0179008 [ 43.73 %]\n", + "Total : 0.0409363 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6639 403 89 9 2 \n", - "1 : 6645 409 80 5 3 \n", - "2 : 6650 412 73 6 1 \n", - "3 : 6664 403 68 4 3 \n", - "4 : 6623 427 81 7 4 \n", - "5 : 6651 400 81 6 4 \n", - "6 : 6649 390 96 5 2 \n", - "7 : 6616 421 94 5 6 \n", - "8 : 6654 403 75 6 4 \n", - "9 : 6639 409 90 1 3 \n", - "10 : 6658 388 83 6 7 \n", - "11 : 6598 462 76 3 3 \n", - "12 : 6650 406 79 3 4 \n", - "13 : 6650 410 88 5 1 \n", + "0 : 6641 408 83 4 6 \n", + "1 : 6673 385 74 7 3 \n", + "2 : 6611 422 97 9 3 \n", + "3 : 6662 389 83 6 2 \n", + "4 : 6611 417 101 6 7 \n", + "5 : 6650 413 68 7 4 \n", + "6 : 6615 427 93 6 1 \n", + "7 : 6619 421 95 5 2 \n", + "8 : 6675 388 70 6 3 \n", + "9 : 6662 403 70 5 2 \n", + "10 : 6641 407 82 8 4 \n", + "11 : 6618 435 78 8 3 \n", + "12 : 6627 424 86 4 1 \n", + "13 : 6678 384 83 4 5 \n", "\n", - "T : 92986 5743 1153 71 47 [100000]\n", + "T : 92983 5723 1163 85 46 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 0.5%\n", - "--- Adj/Tot = 0.1%\n", - "--- Update = 1.1108e-02 sec\n", - "--- Collate = 7.9725e-05 sec\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.5881e-03 sec\n", + "--- Collate = 2.5771e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.732020e-04 < 6.250000e-03 [25]\n", - "--- Max DT=3.052983e-01 > 1.000000e-01 [70297]\n", + "--- Min DT=2.747032e-05 < 6.250000e-03 [24]\n", + "--- Max DT=3.052627e-01 > 1.000000e-01 [70268]\n", "----------------------------------------------------------------------\n", - " Component | low: 25/100000\n", - " Component | high: 70297/100000\n", + " Component | low: 24/100000\n", + " Component | high: 70268/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=5.8] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00102865 [ 0.80 %]\n", - "Velocity : 0.00258954 [ 2.02 %]\n", - "Force : 0.0464059 [ 36.15 %]\n", - "Coefs : 0.0176026 [ 13.71 %]\n", - "Output : 0.00141153 [ 1.10 %]\n", - "Levels : 0.000473134 [ 0.37 %]\n", - "Report : 9.5e-07 [ 0.00 %]\n", - "Balance : 3.96e-07 [ 0.00 %]\n", - "Adjust : 0.0587941 [ 45.81 %]\n", - "Total : 0.128355 [100.00 %]\n", + "Drift : 0.000320345 [ 0.78 %]\n", + "Velocity : 0.000740424 [ 1.81 %]\n", + "Force : 0.0149219 [ 36.45 %]\n", + "Coefs : 0.00628498 [ 15.35 %]\n", + "Output : 0.000549042 [ 1.34 %]\n", + "Levels : 0.000106178 [ 0.26 %]\n", + "Report : 2.98e-07 [ 0.00 %]\n", + "Balance : 1.64e-07 [ 0.00 %]\n", + "Adjust : 0.0179936 [ 43.96 %]\n", + "Total : 0.0409332 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6637 404 90 10 1 \n", - "1 : 6643 410 82 4 3 \n", - "2 : 6654 407 74 7 0 \n", - "3 : 6664 403 68 5 2 \n", - "4 : 6624 426 81 7 4 \n", - "5 : 6651 400 81 6 4 \n", - "6 : 6650 390 96 4 2 \n", - "7 : 6618 416 97 5 6 \n", - "8 : 6653 404 75 6 4 \n", - "9 : 6639 409 90 1 3 \n", - "10 : 6658 388 84 5 7 \n", - "11 : 6598 463 75 3 3 \n", - "12 : 6651 405 79 3 4 \n", - "13 : 6652 408 87 5 2 \n", + "0 : 6641 408 83 5 5 \n", + "1 : 6675 383 74 5 5 \n", + "2 : 6613 418 99 9 3 \n", + "3 : 6662 389 83 6 2 \n", + "4 : 6609 419 102 6 6 \n", + "5 : 6649 415 67 6 5 \n", + "6 : 6616 426 93 5 2 \n", + "7 : 6618 422 95 5 2 \n", + "8 : 6675 388 70 6 3 \n", + "9 : 6664 401 70 5 2 \n", + "10 : 6640 409 81 9 3 \n", + "11 : 6619 432 79 9 3 \n", + "12 : 6627 423 87 4 1 \n", + "13 : 6679 382 84 4 5 \n", "\n", - "T : 92992 5733 1159 71 45 [100000]\n", + "T : 92987 5715 1167 84 47 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 0.6%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.1573e-02 sec\n", - "--- Collate = 1.5396e-04 sec\n", + "--- Update = 3.5301e-03 sec\n", + "--- Collate = 2.3059e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.163925e-05 < 6.250000e-03 [24]\n", - "--- Max DT=3.053059e-01 > 1.000000e-01 [70298]\n", + "--- Min DT=6.397041e-05 < 6.250000e-03 [30]\n", + "--- Max DT=3.052707e-01 > 1.000000e-01 [70258]\n", "----------------------------------------------------------------------\n", - " Component | low: 24/100000\n", - " Component | high: 70298/100000\n", + " Component | low: 30/100000\n", + " Component | high: 70258/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=5.9] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000649667 [ 0.48 %]\n", - "Velocity : 0.00274272 [ 2.04 %]\n", - "Force : 0.0501454 [ 37.23 %]\n", - "Coefs : 0.0190198 [ 14.12 %]\n", - "Output : 0.00143229 [ 1.06 %]\n", - "Levels : 0.000252069 [ 0.19 %]\n", - "Report : 5.21e-07 [ 0.00 %]\n", - "Balance : 3.9e-07 [ 0.00 %]\n", - "Adjust : 0.0603779 [ 44.83 %]\n", - "Total : 0.134674 [100.00 %]\n", + "Drift : 0.00032065 [ 0.79 %]\n", + "Velocity : 0.000740576 [ 1.82 %]\n", + "Force : 0.0148616 [ 36.57 %]\n", + "Coefs : 0.00628584 [ 15.47 %]\n", + "Output : 0.000516978 [ 1.27 %]\n", + "Levels : 0.000113921 [ 0.28 %]\n", + "Report : 2.04e-07 [ 0.00 %]\n", + "Balance : 1.65e-07 [ 0.00 %]\n", + "Adjust : 0.0177837 [ 43.76 %]\n", + "Total : 0.040639 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6636 404 90 11 1 \n", - "1 : 6643 410 82 5 2 \n", - "2 : 6656 405 74 7 0 \n", - "3 : 6663 404 69 4 2 \n", - "4 : 6625 425 80 7 5 \n", - "5 : 6653 397 82 5 5 \n", - "6 : 6651 392 94 2 3 \n", - "7 : 6617 418 97 4 6 \n", - "8 : 6651 405 76 6 4 \n", - "9 : 6639 410 89 2 2 \n", - "10 : 6659 386 85 3 9 \n", - "11 : 6599 463 74 2 4 \n", - "12 : 6650 405 80 3 4 \n", - "13 : 6651 408 87 6 2 \n", + "0 : 6642 405 86 5 4 \n", + "1 : 6675 383 75 4 5 \n", + "2 : 6611 421 98 10 2 \n", + "3 : 6662 389 83 6 2 \n", + "4 : 6611 417 102 7 5 \n", + "5 : 6648 416 67 6 5 \n", + "6 : 6615 425 95 5 2 \n", + "7 : 6620 420 96 3 3 \n", + "8 : 6673 390 70 7 2 \n", + "9 : 6666 399 70 4 3 \n", + "10 : 6640 409 82 8 3 \n", + "11 : 6621 430 79 9 3 \n", + "12 : 6629 420 88 4 1 \n", + "13 : 6680 380 85 4 5 \n", "\n", - "T : 92993 5732 1159 67 49 [100000]\n", + "T : 92993 5704 1176 82 45 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 0.6%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.1217e-02 sec\n", - "--- Collate = 7.5111e-05 sec\n", + "--- Update = 3.5795e-03 sec\n", + "--- Collate = 2.1990e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.015538e-04 < 6.250000e-03 [23]\n", - "--- Max DT=3.053128e-01 > 1.000000e-01 [70305]\n", + "--- Min DT=2.370550e-06 < 6.250000e-03 [26]\n", + "--- Max DT=3.052785e-01 > 1.000000e-01 [70266]\n", "----------------------------------------------------------------------\n", - " Component | low: 23/100000\n", - " Component | high: 70305/100000\n", + " Component | low: 26/100000\n", + " Component | high: 70266/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=6] -------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00102368 [ 0.72 %]\n", - "Velocity : 0.00234837 [ 1.65 %]\n", - "Force : 0.0509219 [ 35.73 %]\n", - "Coefs : 0.0199365 [ 13.99 %]\n", - "Output : 0.00801443 [ 5.62 %]\n", - "Levels : 0.00030431 [ 0.21 %]\n", - "Report : 1.481e-06 [ 0.00 %]\n", - "Balance : 7.14e-07 [ 0.00 %]\n", - "Adjust : 0.0599113 [ 42.04 %]\n", - "Total : 0.142513 [100.00 %]\n", + "Drift : 0.000324705 [ 0.75 %]\n", + "Velocity : 0.000735461 [ 1.70 %]\n", + "Force : 0.0150272 [ 34.78 %]\n", + "Coefs : 0.00638964 [ 14.79 %]\n", + "Output : 0.00268353 [ 6.21 %]\n", + "Levels : 0.000141604 [ 0.33 %]\n", + "Report : 2.89e-07 [ 0.00 %]\n", + "Balance : 2.5e-07 [ 0.00 %]\n", + "Adjust : 0.0178878 [ 41.40 %]\n", + "Total : 0.0432077 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6636 406 90 9 1 \n", - "1 : 6643 410 82 5 2 \n", - "2 : 6657 404 74 7 0 \n", - "3 : 6665 404 67 4 2 \n", - "4 : 6626 423 81 8 4 \n", - "5 : 6654 395 82 6 5 \n", - "6 : 6652 391 94 2 3 \n", - "7 : 6615 420 97 4 6 \n", - "8 : 6649 406 75 8 4 \n", - "9 : 6639 410 89 2 2 \n", - "10 : 6660 384 85 3 10 \n", - "11 : 6599 463 75 1 4 \n", - "12 : 6650 405 80 5 2 \n", - "13 : 6652 406 88 6 2 \n", + "0 : 6641 406 86 6 3 \n", + "1 : 6673 385 74 5 5 \n", + "2 : 6611 419 101 8 3 \n", + "3 : 6661 391 83 5 2 \n", + "4 : 6610 418 102 7 5 \n", + "5 : 6649 415 67 5 6 \n", + "6 : 6614 426 95 6 1 \n", + "7 : 6617 423 96 3 3 \n", + "8 : 6672 391 70 7 2 \n", + "9 : 6665 400 70 2 5 \n", + "10 : 6639 412 80 8 3 \n", + "11 : 6620 429 81 10 2 \n", + "12 : 6627 422 89 3 1 \n", + "13 : 6679 381 85 6 3 \n", "\n", - "T : 92997 5727 1159 70 47 [100000]\n", + "T : 92978 5718 1179 81 44 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.0%\n", - "--- Adj/Tot = 0.2%\n", - "--- Update = 1.1284e-02 sec\n", - "--- Collate = 1.3628e-04 sec\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 3.5669e-03 sec\n", + "--- Collate = 3.1747e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.495873e-04 < 6.250000e-03 [25]\n", - "--- Max DT=3.053209e-01 > 1.000000e-01 [70313]\n", + "--- Min DT=1.430730e-06 < 6.250000e-03 [20]\n", + "--- Max DT=3.052859e-01 > 1.000000e-01 [70270]\n", "----------------------------------------------------------------------\n", - " Component | low: 25/100000\n", - " Component | high: 70313/100000\n", + " Component | low: 20/100000\n", + " Component | high: 70270/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=6.1] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00109224 [ 0.79 %]\n", - "Velocity : 0.0028245 [ 2.05 %]\n", - "Force : 0.0494187 [ 35.83 %]\n", - "Coefs : 0.0217566 [ 15.77 %]\n", - "Output : 0.00147385 [ 1.07 %]\n", - "Levels : 0.000257676 [ 0.19 %]\n", - "Report : 8.34e-07 [ 0.00 %]\n", - "Balance : 4e-07 [ 0.00 %]\n", - "Adjust : 0.0610453 [ 44.26 %]\n", - "Total : 0.137922 [100.00 %]\n", + "Drift : 0.000303892 [ 0.74 %]\n", + "Velocity : 0.000704071 [ 1.72 %]\n", + "Force : 0.0149705 [ 36.67 %]\n", + "Coefs : 0.00634753 [ 15.55 %]\n", + "Output : 0.000545258 [ 1.34 %]\n", + "Levels : 0.000112606 [ 0.28 %]\n", + "Report : 1.98e-07 [ 0.00 %]\n", + "Balance : 1.7e-07 [ 0.00 %]\n", + "Adjust : 0.0178294 [ 43.67 %]\n", + "Total : 0.0408301 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6635 404 93 8 2 \n", - "1 : 6643 410 82 5 2 \n", - "2 : 6657 403 75 6 1 \n", - "3 : 6666 402 69 3 2 \n", - "4 : 6625 425 80 9 3 \n", - "5 : 6658 391 82 6 5 \n", - "6 : 6654 389 94 2 3 \n", - "7 : 6614 422 96 4 6 \n", - "8 : 6649 407 73 7 6 \n", - "9 : 6640 409 89 3 1 \n", - "10 : 6662 381 86 4 9 \n", - "11 : 6596 466 75 1 4 \n", - "12 : 6652 404 78 7 1 \n", - "13 : 6652 407 88 5 2 \n", + "0 : 6640 405 87 7 3 \n", + "1 : 6673 384 75 5 5 \n", + "2 : 6612 418 102 6 4 \n", + "3 : 6659 395 81 4 3 \n", + "4 : 6609 419 103 6 5 \n", + "5 : 6648 415 69 4 6 \n", + "6 : 6612 429 94 5 2 \n", + "7 : 6618 424 92 4 4 \n", + "8 : 6673 390 71 6 2 \n", + "9 : 6663 402 69 3 5 \n", + "10 : 6640 411 80 7 4 \n", + "11 : 6620 429 80 11 2 \n", + "12 : 6630 422 86 3 1 \n", + "13 : 6678 382 85 6 3 \n", "\n", - "T : 93003 5720 1160 70 47 [100000]\n", + "T : 92975 5725 1174 77 49 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.7%\n", + "--- Coef/DT = 0.5%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 9.6455e-03 sec\n", - "--- Collate = 7.7034e-05 sec\n", + "--- Update = 3.5553e-03 sec\n", + "--- Collate = 3.8803e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.634261e-05 < 6.250000e-03 [25]\n", - "--- Max DT=3.053283e-01 > 1.000000e-01 [70298]\n", + "--- Min DT=6.001899e-05 < 6.250000e-03 [20]\n", + "--- Max DT=3.052930e-01 > 1.000000e-01 [70268]\n", "----------------------------------------------------------------------\n", - " Component | low: 25/100000\n", - " Component | high: 70298/100000\n", + " Component | low: 20/100000\n", + " Component | high: 70268/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=6.2] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000618979 [ 0.48 %]\n", - "Velocity : 0.00242755 [ 1.87 %]\n", - "Force : 0.0486707 [ 37.50 %]\n", - "Coefs : 0.0190106 [ 14.65 %]\n", - "Output : 0.00135406 [ 1.04 %]\n", - "Levels : 0.000260013 [ 0.20 %]\n", - "Report : 6.04e-07 [ 0.00 %]\n", - "Balance : 3.16e-07 [ 0.00 %]\n", - "Adjust : 0.057414 [ 44.23 %]\n", - "Total : 0.129804 [100.00 %]\n", + "Drift : 0.000325362 [ 0.80 %]\n", + "Velocity : 0.000716171 [ 1.76 %]\n", + "Force : 0.0149342 [ 36.61 %]\n", + "Coefs : 0.00625643 [ 15.34 %]\n", + "Output : 0.000548985 [ 1.35 %]\n", + "Levels : 0.00011184 [ 0.27 %]\n", + "Report : 2.25e-07 [ 0.00 %]\n", + "Balance : 1.54e-07 [ 0.00 %]\n", + "Adjust : 0.0178828 [ 43.84 %]\n", + "Total : 0.0407928 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6633 408 91 9 1 \n", - "1 : 6644 410 81 6 1 \n", - "2 : 6658 400 77 6 1 \n", - "3 : 6666 401 68 5 2 \n", - "4 : 6625 426 79 9 3 \n", - "5 : 6657 391 82 7 5 \n", - "6 : 6653 390 93 3 3 \n", - "7 : 6613 423 94 7 5 \n", - "8 : 6650 405 75 6 6 \n", - "9 : 6640 412 85 5 0 \n", - "10 : 6661 383 85 7 6 \n", - "11 : 6596 467 73 2 4 \n", - "12 : 6653 404 79 5 1 \n", - "13 : 6651 408 88 5 2 \n", + "0 : 6640 404 89 5 4 \n", + "1 : 6672 385 75 5 5 \n", + "2 : 6611 419 102 5 5 \n", + "3 : 6659 396 81 3 3 \n", + "4 : 6610 417 103 7 5 \n", + "5 : 6648 415 69 5 5 \n", + "6 : 6608 432 95 5 2 \n", + "7 : 6618 425 91 5 3 \n", + "8 : 6672 391 70 8 1 \n", + "9 : 6664 402 68 2 6 \n", + "10 : 6639 412 82 5 4 \n", + "11 : 6619 430 79 11 3 \n", + "12 : 6630 421 87 3 1 \n", + "13 : 6680 381 83 5 5 \n", "\n", - "T : 93000 5728 1150 82 40 [100000]\n", + "T : 92970 5730 1174 74 52 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.8%\n", - "--- Adj/Tot = 0.1%\n", - "--- Update = 9.7923e-03 sec\n", - "--- Collate = 7.8584e-05 sec\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.5912e-03 sec\n", + "--- Collate = 2.3121e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.752447e-04 < 6.250000e-03 [26]\n", - "--- Max DT=3.053358e-01 > 1.000000e-01 [70298]\n", + "--- Min DT=6.702046e-05 < 6.250000e-03 [23]\n", + "--- Max DT=3.052999e-01 > 1.000000e-01 [70269]\n", "----------------------------------------------------------------------\n", - " Component | low: 26/100000\n", - " Component | high: 70298/100000\n", + " Component | low: 23/100000\n", + " Component | high: 70269/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=6.3] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00100165 [ 0.80 %]\n", - "Velocity : 0.00261315 [ 2.10 %]\n", - "Force : 0.0452007 [ 36.30 %]\n", - "Coefs : 0.0176408 [ 14.17 %]\n", - "Output : 0.00133914 [ 1.08 %]\n", - "Levels : 0.000223051 [ 0.18 %]\n", - "Report : 6.45e-07 [ 0.00 %]\n", - "Balance : 2.82e-07 [ 0.00 %]\n", - "Adjust : 0.0564498 [ 45.34 %]\n", - "Total : 0.124516 [100.00 %]\n", + "Drift : 0.000324082 [ 0.79 %]\n", + "Velocity : 0.000721963 [ 1.76 %]\n", + "Force : 0.0150204 [ 36.70 %]\n", + "Coefs : 0.00621966 [ 15.19 %]\n", + "Output : 0.000559025 [ 1.37 %]\n", + "Levels : 0.000112629 [ 0.28 %]\n", + "Report : 1.86e-07 [ 0.00 %]\n", + "Balance : 1.71e-07 [ 0.00 %]\n", + "Adjust : 0.017958 [ 43.87 %]\n", + "Total : 0.040933 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6633 408 91 9 1 \n", - "1 : 6644 411 80 6 1 \n", - "2 : 6659 399 78 5 1 \n", - "3 : 6665 402 68 4 3 \n", - "4 : 6625 427 77 10 3 \n", - "5 : 6659 388 83 7 5 \n", - "6 : 6652 392 92 3 3 \n", - "7 : 6613 422 95 7 5 \n", - "8 : 6649 406 76 5 6 \n", - "9 : 6643 407 87 5 0 \n", - "10 : 6661 382 86 6 7 \n", - "11 : 6595 467 74 2 4 \n", - "12 : 6653 405 78 6 0 \n", - "13 : 6649 410 88 4 3 \n", + "0 : 6640 404 89 5 4 \n", + "1 : 6672 385 77 3 5 \n", + "2 : 6610 421 102 3 6 \n", + "3 : 6657 398 81 3 3 \n", + "4 : 6610 417 103 7 5 \n", + "5 : 6649 412 71 5 5 \n", + "6 : 6607 430 98 6 1 \n", + "7 : 6619 425 90 4 4 \n", + "8 : 6675 387 70 10 0 \n", + "9 : 6663 403 68 1 7 \n", + "10 : 6641 412 80 7 2 \n", + "11 : 6619 431 79 9 4 \n", + "12 : 6629 421 88 3 1 \n", + "13 : 6681 381 82 6 4 \n", "\n", - "T : 93000 5726 1153 79 42 [100000]\n", + "T : 92972 5727 1178 72 51 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.7%\n", + "--- Coef/DT = 0.6%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 9.3065e-03 sec\n", - "--- Collate = 6.3036e-05 sec\n", + "--- Update = 3.5842e-03 sec\n", + "--- Collate = 2.4743e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.043339e-05 < 6.250000e-03 [24]\n", - "--- Max DT=3.053433e-01 > 1.000000e-01 [70297]\n", + "--- Min DT=8.692302e-05 < 6.250000e-03 [27]\n", + "--- Max DT=3.053063e-01 > 1.000000e-01 [70282]\n", "----------------------------------------------------------------------\n", - " Component | low: 24/100000\n", - " Component | high: 70297/100000\n", + " Component | low: 27/100000\n", + " Component | high: 70282/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=6.4] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00104082 [ 0.83 %]\n", - "Velocity : 0.0027087 [ 2.17 %]\n", - "Force : 0.0450829 [ 36.08 %]\n", - "Coefs : 0.0170842 [ 13.67 %]\n", - "Output : 0.00136737 [ 1.09 %]\n", - "Levels : 0.000243903 [ 0.20 %]\n", - "Report : 8.88e-07 [ 0.00 %]\n", - "Balance : 2.77e-07 [ 0.00 %]\n", - "Adjust : 0.0573689 [ 45.91 %]\n", - "Total : 0.12495 [100.00 %]\n", + "Drift : 0.000334079 [ 0.81 %]\n", + "Velocity : 0.000745921 [ 1.81 %]\n", + "Force : 0.0149823 [ 36.30 %]\n", + "Coefs : 0.0065362 [ 15.84 %]\n", + "Output : 0.000530844 [ 1.29 %]\n", + "Levels : 0.00012559 [ 0.30 %]\n", + "Report : 1.94e-07 [ 0.00 %]\n", + "Balance : 1.76e-07 [ 0.00 %]\n", + "Adjust : 0.0180006 [ 43.61 %]\n", + "Total : 0.0412718 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6634 407 91 9 1 \n", - "1 : 6643 412 80 6 1 \n", - "2 : 6658 401 76 6 1 \n", - "3 : 6664 403 69 3 3 \n", - "4 : 6625 428 75 11 3 \n", - "5 : 6657 390 81 9 5 \n", - "6 : 6651 393 91 4 3 \n", - "7 : 6612 424 94 8 4 \n", - "8 : 6649 406 76 5 6 \n", - "9 : 6644 406 86 6 0 \n", - "10 : 6662 381 86 7 6 \n", - "11 : 6597 465 75 1 4 \n", - "12 : 6652 405 79 5 1 \n", - "13 : 6653 406 87 6 2 \n", + "0 : 6639 406 88 5 4 \n", + "1 : 6672 385 77 3 5 \n", + "2 : 6610 421 102 4 5 \n", + "3 : 6656 399 80 4 3 \n", + "4 : 6611 418 101 9 3 \n", + "5 : 6649 412 71 5 5 \n", + "6 : 6607 430 99 4 2 \n", + "7 : 6618 426 91 3 4 \n", + "8 : 6675 387 70 7 3 \n", + "9 : 6663 402 69 2 6 \n", + "10 : 6643 410 81 6 2 \n", + "11 : 6619 430 81 7 5 \n", + "12 : 6629 422 87 2 2 \n", + "13 : 6682 380 82 6 4 \n", "\n", - "T : 93001 5727 1146 86 40 [100000]\n", + "T : 92973 5728 1179 67 53 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.7%\n", + "--- Coef/DT = 0.5%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.1555e-02 sec\n", - "--- Collate = 8.2285e-05 sec\n", + "--- Update = 3.5979e-03 sec\n", + "--- Collate = 2.8417e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.269975e-05 < 6.250000e-03 [25]\n", - "--- Max DT=3.053505e-01 > 1.000000e-01 [70289]\n", + "--- Min DT=4.949446e-05 < 6.250000e-03 [25]\n", + "--- Max DT=3.053129e-01 > 1.000000e-01 [70292]\n", "----------------------------------------------------------------------\n", " Component | low: 25/100000\n", - " Component | high: 70289/100000\n", + " Component | high: 70292/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=6.5] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00101421 [ 0.76 %]\n", - "Velocity : 0.00221627 [ 1.67 %]\n", - "Force : 0.0476167 [ 35.86 %]\n", - "Coefs : 0.0179909 [ 13.55 %]\n", - "Output : 0.00142754 [ 1.07 %]\n", - "Levels : 0.000253624 [ 0.19 %]\n", - "Report : 5.84e-07 [ 0.00 %]\n", - "Balance : 3.39e-07 [ 0.00 %]\n", - "Adjust : 0.0622225 [ 46.86 %]\n", - "Total : 0.132795 [100.00 %]\n", + "Drift : 0.000329137 [ 0.80 %]\n", + "Velocity : 0.000750067 [ 1.83 %]\n", + "Force : 0.0148819 [ 36.39 %]\n", + "Coefs : 0.00633604 [ 15.49 %]\n", + "Output : 0.000527853 [ 1.29 %]\n", + "Levels : 0.000112075 [ 0.27 %]\n", + "Report : 1.84e-07 [ 0.00 %]\n", + "Balance : 1.77e-07 [ 0.00 %]\n", + "Adjust : 0.0179406 [ 43.87 %]\n", + "Total : 0.040894 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6634 407 90 10 1 \n", - "1 : 6642 411 82 6 1 \n", - "2 : 6658 400 78 5 1 \n", - "3 : 6664 405 66 4 3 \n", - "4 : 6627 425 75 11 4 \n", - "5 : 6659 388 81 10 4 \n", - "6 : 6651 392 92 4 3 \n", - "7 : 6609 428 93 9 3 \n", - "8 : 6649 406 76 5 6 \n", - "9 : 6642 408 87 5 0 \n", - "10 : 6663 380 86 7 6 \n", - "11 : 6599 462 75 2 4 \n", - "12 : 6652 405 79 5 1 \n", - "13 : 6651 410 84 7 2 \n", + "0 : 6638 407 87 6 4 \n", + "1 : 6672 384 78 4 4 \n", + "2 : 6610 423 100 4 5 \n", + "3 : 6657 399 79 4 3 \n", + "4 : 6611 416 104 7 4 \n", + "5 : 6649 412 71 5 5 \n", + "6 : 6607 430 99 4 2 \n", + "7 : 6619 424 92 4 3 \n", + "8 : 6676 386 70 6 4 \n", + "9 : 6662 403 69 1 7 \n", + "10 : 6642 411 81 6 2 \n", + "11 : 6619 430 81 7 5 \n", + "12 : 6629 422 85 4 2 \n", + "13 : 6682 380 82 7 3 \n", "\n", - "T : 93000 5727 1144 90 39 [100000]\n", + "T : 92973 5727 1178 69 53 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.6%\n", + "--- Coef/DT = 0.7%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.7567e-02 sec\n", - "--- Collate = 1.0172e-04 sec\n", + "--- Update = 3.6691e-03 sec\n", + "--- Collate = 2.5086e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.662007e-05 < 6.250000e-03 [24]\n", - "--- Max DT=3.053575e-01 > 1.000000e-01 [70300]\n", + "--- Min DT=9.235118e-05 < 6.250000e-03 [28]\n", + "--- Max DT=3.053193e-01 > 1.000000e-01 [70291]\n", "----------------------------------------------------------------------\n", - " Component | low: 24/100000\n", - " Component | high: 70300/100000\n", + " Component | low: 28/100000\n", + " Component | high: 70291/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=6.6] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00103591 [ 0.71 %]\n", - "Velocity : 0.00267059 [ 1.82 %]\n", - "Force : 0.0529311 [ 36.08 %]\n", - "Coefs : 0.0199748 [ 13.61 %]\n", - "Output : 0.00140034 [ 0.95 %]\n", - "Levels : 0.000240453 [ 0.16 %]\n", - "Report : 9.55e-07 [ 0.00 %]\n", - "Balance : 3.28e-07 [ 0.00 %]\n", - "Adjust : 0.0684156 [ 46.63 %]\n", - "Total : 0.146722 [100.00 %]\n", + "Drift : 0.000322548 [ 0.77 %]\n", + "Velocity : 0.000745685 [ 1.79 %]\n", + "Force : 0.0150902 [ 36.20 %]\n", + "Coefs : 0.00662717 [ 15.90 %]\n", + "Output : 0.000580329 [ 1.39 %]\n", + "Levels : 0.000116645 [ 0.28 %]\n", + "Report : 2.66e-07 [ 0.00 %]\n", + "Balance : 1.7e-07 [ 0.00 %]\n", + "Adjust : 0.0181831 [ 43.62 %]\n", + "Total : 0.0416851 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6634 407 90 9 2 \n", - "1 : 6642 411 82 6 1 \n", - "2 : 6657 400 79 4 2 \n", - "3 : 6663 406 66 3 4 \n", - "4 : 6628 424 75 11 4 \n", - "5 : 6657 390 81 11 3 \n", - "6 : 6651 389 95 4 3 \n", - "7 : 6611 427 92 10 2 \n", - "8 : 6649 405 77 6 5 \n", - "9 : 6644 407 86 4 1 \n", - "10 : 6663 379 87 8 5 \n", - "11 : 6601 459 76 3 3 \n", - "12 : 6652 405 79 4 2 \n", - "13 : 6652 409 84 6 3 \n", + "0 : 6638 407 88 7 2 \n", + "1 : 6672 384 78 4 4 \n", + "2 : 6610 423 100 4 5 \n", + "3 : 6659 396 78 7 2 \n", + "4 : 6610 416 105 7 4 \n", + "5 : 6649 413 70 8 2 \n", + "6 : 6607 430 98 5 2 \n", + "7 : 6618 425 92 4 3 \n", + "8 : 6676 386 69 7 4 \n", + "9 : 6664 401 68 1 8 \n", + "10 : 6642 411 80 7 2 \n", + "11 : 6618 430 83 7 4 \n", + "12 : 6628 424 84 4 2 \n", + "13 : 6683 379 83 6 3 \n", "\n", - "T : 93004 5718 1149 89 40 [100000]\n", + "T : 92974 5725 1176 78 47 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.4%\n", + "--- Coef/DT = 0.8%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.9356e-02 sec\n", - "--- Collate = 8.3082e-05 sec\n", + "--- Update = 3.5176e-03 sec\n", + "--- Collate = 2.6193e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.638588e-04 < 6.250000e-03 [23]\n", - "--- Max DT=3.053648e-01 > 1.000000e-01 [70298]\n", + "--- Min DT=3.941998e-05 < 6.250000e-03 [27]\n", + "--- Max DT=3.053257e-01 > 1.000000e-01 [70292]\n", "----------------------------------------------------------------------\n", - " Component | low: 23/100000\n", - " Component | high: 70298/100000\n", + " Component | low: 27/100000\n", + " Component | high: 70292/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=6.7] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000950626 [ 0.51 %]\n", - "Velocity : 0.0031157 [ 1.68 %]\n", - "Force : 0.0545455 [ 29.35 %]\n", - "Coefs : 0.0293164 [ 15.77 %]\n", - "Output : 0.00135069 [ 0.73 %]\n", - "Levels : 0.000263293 [ 0.14 %]\n", - "Report : 5.61e-07 [ 0.00 %]\n", - "Balance : 3.34e-07 [ 0.00 %]\n", - "Adjust : 0.0962423 [ 51.78 %]\n", - "Total : 0.18585 [100.00 %]\n", + "Drift : 0.000326687 [ 0.75 %]\n", + "Velocity : 0.000752652 [ 1.74 %]\n", + "Force : 0.0156722 [ 36.20 %]\n", + "Coefs : 0.00677071 [ 15.64 %]\n", + "Output : 0.00056552 [ 1.31 %]\n", + "Levels : 0.000117027 [ 0.27 %]\n", + "Report : 2.05e-07 [ 0.00 %]\n", + "Balance : 1.67e-07 [ 0.00 %]\n", + "Adjust : 0.0190733 [ 44.05 %]\n", + "Total : 0.0432961 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6634 405 93 8 2 \n", - "1 : 6639 413 82 7 1 \n", - "2 : 6658 399 80 3 2 \n", - "3 : 6664 406 64 4 4 \n", - "4 : 6632 419 77 11 3 \n", - "5 : 6660 387 80 11 4 \n", - "6 : 6651 388 96 4 3 \n", - "7 : 6611 429 91 9 2 \n", - "8 : 6648 405 79 6 4 \n", - "9 : 6641 410 86 4 1 \n", - "10 : 6663 381 84 7 7 \n", - "11 : 6600 460 75 4 3 \n", - "12 : 6651 407 78 4 2 \n", - "13 : 6653 410 83 5 3 \n", + "0 : 6638 407 88 7 2 \n", + "1 : 6672 383 79 5 3 \n", + "2 : 6612 421 98 6 5 \n", + "3 : 6659 397 77 7 2 \n", + "4 : 6612 415 104 7 4 \n", + "5 : 6649 413 70 6 4 \n", + "6 : 6608 429 99 4 2 \n", + "7 : 6617 427 91 4 3 \n", + "8 : 6676 387 67 7 5 \n", + "9 : 6664 401 68 1 8 \n", + "10 : 6641 414 78 5 4 \n", + "11 : 6622 426 82 7 5 \n", + "12 : 6629 423 84 4 2 \n", + "13 : 6683 379 84 4 4 \n", "\n", - "T : 93005 5719 1148 87 41 [100000]\n", + "T : 92982 5722 1169 74 53 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.4%\n", + "--- Coef/DT = 0.6%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.6030e-02 sec\n", - "--- Collate = 8.7035e-05 sec\n", + "--- Update = 3.6132e-03 sec\n", + "--- Collate = 2.5643e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.363080e-05 < 6.250000e-03 [24]\n", - "--- Max DT=3.053720e-01 > 1.000000e-01 [70304]\n", + "--- Min DT=1.178298e-04 < 6.250000e-03 [25]\n", + "--- Max DT=3.053322e-01 > 1.000000e-01 [70293]\n", "----------------------------------------------------------------------\n", - " Component | low: 24/100000\n", - " Component | high: 70304/100000\n", + " Component | low: 25/100000\n", + " Component | high: 70293/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=6.8] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000697448 [ 0.34 %]\n", - "Velocity : 0.0034633 [ 1.67 %]\n", - "Force : 0.0852903 [ 41.01 %]\n", - "Coefs : 0.0329309 [ 15.84 %]\n", - "Output : 0.00133687 [ 0.64 %]\n", - "Levels : 0.000243977 [ 0.12 %]\n", - "Report : 9.59e-07 [ 0.00 %]\n", - "Balance : 3.53e-07 [ 0.00 %]\n", - "Adjust : 0.0839382 [ 40.36 %]\n", - "Total : 0.207952 [100.00 %]\n", + "Drift : 0.000327049 [ 0.76 %]\n", + "Velocity : 0.000803429 [ 1.87 %]\n", + "Force : 0.0156452 [ 36.32 %]\n", + "Coefs : 0.00659595 [ 15.31 %]\n", + "Output : 0.000570706 [ 1.32 %]\n", + "Levels : 0.000111509 [ 0.26 %]\n", + "Report : 1.99e-07 [ 0.00 %]\n", + "Balance : 1.75e-07 [ 0.00 %]\n", + "Adjust : 0.0190041 [ 44.12 %]\n", + "Total : 0.0430759 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6634 405 93 8 2 \n", - "1 : 6639 413 81 7 2 \n", - "2 : 6658 399 80 2 3 \n", - "3 : 6662 408 64 4 4 \n", - "4 : 6631 421 78 9 3 \n", - "5 : 6658 389 82 9 4 \n", - "6 : 6649 390 95 7 1 \n", - "7 : 6611 429 92 8 2 \n", - "8 : 6649 404 80 5 4 \n", - "9 : 6641 408 86 6 1 \n", - "10 : 6662 383 83 8 6 \n", - "11 : 6598 462 74 5 3 \n", - "12 : 6653 405 78 3 3 \n", - "13 : 6654 409 83 5 3 \n", + "0 : 6638 406 90 5 3 \n", + "1 : 6673 384 78 6 1 \n", + "2 : 6611 421 99 7 4 \n", + "3 : 6658 398 77 7 2 \n", + "4 : 6613 414 104 7 4 \n", + "5 : 6651 410 72 4 5 \n", + "6 : 6608 429 99 4 2 \n", + "7 : 6617 428 90 5 2 \n", + "8 : 6677 386 68 6 5 \n", + "9 : 6665 402 66 3 6 \n", + "10 : 6642 411 80 5 4 \n", + "11 : 6622 426 85 6 3 \n", + "12 : 6630 421 85 5 1 \n", + "13 : 6683 380 82 4 5 \n", "\n", - "T : 92999 5725 1149 86 41 [100000]\n", + "T : 92988 5716 1175 74 47 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 0.8%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0496e-02 sec\n", - "--- Collate = 1.1185e-04 sec\n", + "--- Update = 3.4910e-03 sec\n", + "--- Collate = 2.5690e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.898494e-04 < 6.250000e-03 [22]\n", - "--- Max DT=3.053788e-01 > 1.000000e-01 [70307]\n", + "--- Min DT=1.571666e-04 < 6.250000e-03 [24]\n", + "--- Max DT=3.053387e-01 > 1.000000e-01 [70289]\n", "----------------------------------------------------------------------\n", - " Component | low: 22/100000\n", - " Component | high: 70307/100000\n", + " Component | low: 24/100000\n", + " Component | high: 70289/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=6.9] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0010449 [ 0.78 %]\n", - "Velocity : 0.00273702 [ 2.03 %]\n", - "Force : 0.0477611 [ 35.50 %]\n", - "Coefs : 0.0179634 [ 13.35 %]\n", - "Output : 0.00143878 [ 1.07 %]\n", - "Levels : 0.000251514 [ 0.19 %]\n", - "Report : 8.45e-07 [ 0.00 %]\n", - "Balance : 3.53e-07 [ 0.00 %]\n", - "Adjust : 0.0633081 [ 47.05 %]\n", - "Total : 0.134555 [100.00 %]\n", + "Drift : 0.000333898 [ 0.78 %]\n", + "Velocity : 0.000762616 [ 1.79 %]\n", + "Force : 0.0153781 [ 36.03 %]\n", + "Coefs : 0.00657409 [ 15.40 %]\n", + "Output : 0.000557398 [ 1.31 %]\n", + "Levels : 0.000125319 [ 0.29 %]\n", + "Report : 2.96e-07 [ 0.00 %]\n", + "Balance : 1.76e-07 [ 0.00 %]\n", + "Adjust : 0.0189295 [ 44.35 %]\n", + "Total : 0.0426793 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6633 405 94 8 2 \n", - "1 : 6638 414 81 7 2 \n", - "2 : 6658 399 79 3 3 \n", - "3 : 6661 409 65 3 4 \n", - "4 : 6633 419 78 8 4 \n", - "5 : 6659 388 82 10 3 \n", - "6 : 6650 388 95 8 1 \n", - "7 : 6611 430 91 7 3 \n", - "8 : 6649 405 77 7 4 \n", - "9 : 6641 408 87 5 1 \n", - "10 : 6665 378 85 8 6 \n", - "11 : 6598 462 73 5 4 \n", - "12 : 6654 402 80 3 3 \n", - "13 : 6651 412 83 6 2 \n", + "0 : 6640 405 90 3 4 \n", + "1 : 6675 382 78 6 1 \n", + "2 : 6610 422 99 7 4 \n", + "3 : 6657 399 77 6 3 \n", + "4 : 6613 416 102 6 5 \n", + "5 : 6653 407 72 5 5 \n", + "6 : 6608 429 99 4 2 \n", + "7 : 6616 430 91 3 2 \n", + "8 : 6677 386 68 6 5 \n", + "9 : 6666 401 67 2 6 \n", + "10 : 6642 410 80 5 5 \n", + "11 : 6622 426 85 6 3 \n", + "12 : 6629 424 83 6 0 \n", + "13 : 6683 382 80 5 4 \n", "\n", - "T : 93001 5719 1150 88 42 [100000]\n", + "T : 92991 5719 1171 70 49 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 0.6%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.1856e-02 sec\n", - "--- Collate = 1.8427e-04 sec\n", + "--- Update = 3.5980e-03 sec\n", + "--- Collate = 2.2738e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.158568e-05 < 6.250000e-03 [22]\n", - "--- Max DT=3.053850e-01 > 1.000000e-01 [70300]\n", + "--- Min DT=5.491831e-05 < 6.250000e-03 [26]\n", + "--- Max DT=3.053455e-01 > 1.000000e-01 [70284]\n", "----------------------------------------------------------------------\n", - " Component | low: 22/100000\n", - " Component | high: 70300/100000\n", + " Component | low: 26/100000\n", + " Component | high: 70284/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=7] -------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00140796 [ 0.79 %]\n", - "Velocity : 0.00256374 [ 1.44 %]\n", - "Force : 0.058393 [ 32.91 %]\n", - "Coefs : 0.0333335 [ 18.79 %]\n", - "Output : 0.00767022 [ 4.32 %]\n", - "Levels : 0.000270631 [ 0.15 %]\n", - "Report : 1.41e-06 [ 0.00 %]\n", - "Balance : 7.18e-07 [ 0.00 %]\n", - "Adjust : 0.0737353 [ 41.56 %]\n", - "Total : 0.177427 [100.00 %]\n", + "Drift : 0.000338392 [ 0.76 %]\n", + "Velocity : 0.000794319 [ 1.78 %]\n", + "Force : 0.0152185 [ 34.19 %]\n", + "Coefs : 0.00630257 [ 14.16 %]\n", + "Output : 0.00283039 [ 6.36 %]\n", + "Levels : 0.000123086 [ 0.28 %]\n", + "Report : 3.75e-07 [ 0.00 %]\n", + "Balance : 2.52e-07 [ 0.00 %]\n", + "Adjust : 0.0188903 [ 42.44 %]\n", + "Total : 0.0445146 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6634 403 95 7 3 \n", - "1 : 6638 414 81 7 2 \n", - "2 : 6658 399 80 2 3 \n", - "3 : 6661 408 66 4 3 \n", - "4 : 6632 420 77 9 4 \n", - "5 : 6656 389 85 9 3 \n", - "6 : 6649 389 96 7 1 \n", - "7 : 6612 429 91 7 3 \n", - "8 : 6650 405 75 10 2 \n", - "9 : 6638 411 87 4 2 \n", - "10 : 6663 379 87 7 6 \n", - "11 : 6598 461 74 5 4 \n", - "12 : 6653 403 80 3 3 \n", - "13 : 6651 413 81 7 2 \n", + "0 : 6641 404 90 4 3 \n", + "1 : 6674 383 78 7 0 \n", + "2 : 6610 422 99 8 3 \n", + "3 : 6657 402 73 7 3 \n", + "4 : 6614 414 101 8 5 \n", + "5 : 6653 408 71 4 6 \n", + "6 : 6606 431 99 4 2 \n", + "7 : 6616 430 90 4 2 \n", + "8 : 6679 384 68 6 5 \n", + "9 : 6666 399 68 3 6 \n", + "10 : 6640 412 80 3 7 \n", + "11 : 6621 427 86 5 3 \n", + "12 : 6629 425 84 4 0 \n", + "13 : 6683 383 79 5 4 \n", "\n", - "T : 92993 5723 1155 88 41 [100000]\n", + "T : 92989 5724 1166 72 49 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.5%\n", + "--- Coef/DT = 0.7%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.9994e-02 sec\n", - "--- Collate = 9.6461e-05 sec\n", + "--- Update = 3.6317e-03 sec\n", + "--- Collate = 2.6627e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.257251e-05 < 6.250000e-03 [20]\n", - "--- Max DT=3.053917e-01 > 1.000000e-01 [70309]\n", + "--- Min DT=7.474943e-05 < 6.250000e-03 [25]\n", + "--- Max DT=3.053521e-01 > 1.000000e-01 [70282]\n", "----------------------------------------------------------------------\n", - " Component | low: 20/100000\n", - " Component | high: 70309/100000\n", + " Component | low: 25/100000\n", + " Component | high: 70282/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=7.1] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00103147 [ 0.65 %]\n", - "Velocity : 0.00291911 [ 1.84 %]\n", - "Force : 0.0542044 [ 34.09 %]\n", - "Coefs : 0.019416 [ 12.21 %]\n", - "Output : 0.00141814 [ 0.89 %]\n", - "Levels : 0.000265807 [ 0.17 %]\n", - "Report : 5.97e-07 [ 0.00 %]\n", - "Balance : 3.78e-07 [ 0.00 %]\n", - "Adjust : 0.0797122 [ 50.13 %]\n", - "Total : 0.159022 [100.00 %]\n", + "Drift : 0.000290826 [ 0.71 %]\n", + "Velocity : 0.000701245 [ 1.71 %]\n", + "Force : 0.0149243 [ 36.35 %]\n", + "Coefs : 0.00659741 [ 16.07 %]\n", + "Output : 0.000549703 [ 1.34 %]\n", + "Levels : 0.000121817 [ 0.30 %]\n", + "Report : 2.25e-07 [ 0.00 %]\n", + "Balance : 1.57e-07 [ 0.00 %]\n", + "Adjust : 0.0178558 [ 43.49 %]\n", + "Total : 0.0410576 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6634 403 95 7 3 \n", - "1 : 6639 412 83 5 3 \n", - "2 : 6657 401 79 3 2 \n", - "3 : 6661 408 66 5 2 \n", - "4 : 6634 417 78 10 3 \n", - "5 : 6656 389 85 9 3 \n", - "6 : 6649 390 97 5 1 \n", - "7 : 6612 430 90 7 3 \n", - "8 : 6651 404 75 11 1 \n", - "9 : 6637 411 87 4 3 \n", - "10 : 6663 379 87 8 5 \n", - "11 : 6598 460 76 5 3 \n", - "12 : 6652 405 78 4 3 \n", - "13 : 6652 412 80 8 2 \n", + "0 : 6642 404 89 5 2 \n", + "1 : 6674 383 77 8 0 \n", + "2 : 6609 423 99 9 2 \n", + "3 : 6657 402 73 8 2 \n", + "4 : 6613 416 101 6 6 \n", + "5 : 6653 407 73 3 6 \n", + "6 : 6605 432 100 3 2 \n", + "7 : 6614 431 91 4 2 \n", + "8 : 6679 382 71 6 4 \n", + "9 : 6665 401 67 4 5 \n", + "10 : 6639 415 78 5 5 \n", + "11 : 6623 425 85 5 4 \n", + "12 : 6629 424 85 4 0 \n", + "13 : 6686 380 79 6 3 \n", "\n", - "T : 92995 5721 1156 91 37 [100000]\n", + "T : 92988 5725 1168 76 43 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.8%\n", + "--- Coef/DT = 0.6%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0474e-02 sec\n", - "--- Collate = 9.2472e-05 sec\n", + "--- Update = 3.6528e-03 sec\n", + "--- Collate = 2.5175e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.522863e-05 < 6.250000e-03 [21]\n", - "--- Max DT=3.053980e-01 > 1.000000e-01 [70310]\n", + "--- Min DT=2.064312e-04 < 6.250000e-03 [21]\n", + "--- Max DT=3.053588e-01 > 1.000000e-01 [70292]\n", "----------------------------------------------------------------------\n", " Component | low: 21/100000\n", - " Component | high: 70310/100000\n", + " Component | high: 70292/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=7.2] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00105476 [ 0.65 %]\n", - "Velocity : 0.00268537 [ 1.66 %]\n", - "Force : 0.0718846 [ 44.51 %]\n", - "Coefs : 0.020719 [ 12.83 %]\n", - "Output : 0.00136121 [ 0.84 %]\n", - "Levels : 0.00022802 [ 0.14 %]\n", - "Report : 5.3e-07 [ 0.00 %]\n", - "Balance : 3.13e-07 [ 0.00 %]\n", - "Adjust : 0.0635005 [ 39.32 %]\n", - "Total : 0.161486 [100.00 %]\n", + "Drift : 0.000323774 [ 0.77 %]\n", + "Velocity : 0.00074611 [ 1.78 %]\n", + "Force : 0.0154897 [ 37.00 %]\n", + "Coefs : 0.00654299 [ 15.63 %]\n", + "Output : 0.000524051 [ 1.25 %]\n", + "Levels : 0.000110005 [ 0.26 %]\n", + "Report : 1.73e-07 [ 0.00 %]\n", + "Balance : 1.82e-07 [ 0.00 %]\n", + "Adjust : 0.0181087 [ 43.26 %]\n", + "Total : 0.0418619 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6630 408 94 7 3 \n", - "1 : 6638 415 80 6 3 \n", - "2 : 6657 401 79 3 2 \n", - "3 : 6662 406 67 4 3 \n", - "4 : 6635 416 78 10 3 \n", - "5 : 6656 388 86 10 2 \n", - "6 : 6648 390 98 5 1 \n", - "7 : 6610 432 89 8 3 \n", - "8 : 6651 403 76 10 2 \n", - "9 : 6636 411 88 4 3 \n", - "10 : 6663 379 89 5 6 \n", - "11 : 6599 456 78 5 4 \n", - "12 : 6654 403 79 3 3 \n", - "13 : 6652 412 80 8 2 \n", + "0 : 6642 405 88 5 2 \n", + "1 : 6673 382 79 7 1 \n", + "2 : 6608 422 101 9 2 \n", + "3 : 6657 399 76 8 2 \n", + "4 : 6613 416 101 6 6 \n", + "5 : 6653 408 72 3 6 \n", + "6 : 6608 430 98 4 2 \n", + "7 : 6616 427 92 6 1 \n", + "8 : 6679 381 72 6 4 \n", + "9 : 6664 400 68 4 6 \n", + "10 : 6638 415 79 5 5 \n", + "11 : 6623 426 84 5 4 \n", + "12 : 6628 425 82 6 1 \n", + "13 : 6686 380 79 6 3 \n", "\n", - "T : 92991 5720 1161 88 40 [100000]\n", + "T : 92988 5716 1171 80 45 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.0%\n", + "--- Coef/DT = 0.6%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 9.4068e-03 sec\n", - "--- Collate = 1.0921e-04 sec\n", + "--- Update = 3.5972e-03 sec\n", + "--- Collate = 2.6962e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.266237e-04 < 6.250000e-03 [20]\n", - "--- Max DT=3.054042e-01 > 1.000000e-01 [70320]\n", + "--- Min DT=1.027416e-04 < 6.250000e-03 [19]\n", + "--- Max DT=3.053654e-01 > 1.000000e-01 [70306]\n", "----------------------------------------------------------------------\n", - " Component | low: 20/100000\n", - " Component | high: 70320/100000\n", + " Component | low: 19/100000\n", + " Component | high: 70306/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=7.3] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00115263 [ 0.91 %]\n", - "Velocity : 0.00275122 [ 2.18 %]\n", - "Force : 0.0471407 [ 37.34 %]\n", - "Coefs : 0.0179781 [ 14.24 %]\n", - "Output : 0.00131103 [ 1.04 %]\n", - "Levels : 0.000274749 [ 0.22 %]\n", - "Report : 6.14e-07 [ 0.00 %]\n", - "Balance : 3.11e-07 [ 0.00 %]\n", - "Adjust : 0.0555925 [ 44.03 %]\n", - "Total : 0.126249 [100.00 %]\n", + "Drift : 0.000327793 [ 0.77 %]\n", + "Velocity : 0.00074531 [ 1.76 %]\n", + "Force : 0.0157105 [ 37.14 %]\n", + "Coefs : 0.00666195 [ 15.75 %]\n", + "Output : 0.000575386 [ 1.36 %]\n", + "Levels : 0.000133486 [ 0.32 %]\n", + "Report : 2.16e-07 [ 0.00 %]\n", + "Balance : 1.76e-07 [ 0.00 %]\n", + "Adjust : 0.0181301 [ 42.86 %]\n", + "Total : 0.042301 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6629 409 94 7 3 \n", - "1 : 6639 414 80 6 3 \n", - "2 : 6657 402 78 3 2 \n", - "3 : 6664 405 66 4 3 \n", - "4 : 6634 418 79 8 3 \n", - "5 : 6652 392 85 11 2 \n", - "6 : 6650 388 96 7 1 \n", - "7 : 6610 432 89 7 4 \n", - "8 : 6652 402 75 10 3 \n", - "9 : 6634 413 88 4 3 \n", - "10 : 6664 378 89 5 6 \n", - "11 : 6598 457 78 5 4 \n", - "12 : 6652 406 78 3 3 \n", - "13 : 6653 409 83 7 2 \n", + "0 : 6641 408 86 5 2 \n", + "1 : 6672 382 80 7 1 \n", + "2 : 6609 422 100 8 3 \n", + "3 : 6659 398 75 8 2 \n", + "4 : 6613 414 102 7 6 \n", + "5 : 6655 407 70 4 6 \n", + "6 : 6608 430 98 5 1 \n", + "7 : 6616 427 92 6 1 \n", + "8 : 6679 381 72 4 6 \n", + "9 : 6665 401 67 3 6 \n", + "10 : 6638 415 79 5 5 \n", + "11 : 6623 426 83 7 3 \n", + "12 : 6629 424 81 6 2 \n", + "13 : 6685 381 79 5 4 \n", "\n", - "T : 92988 5725 1158 87 42 [100000]\n", + "T : 92992 5716 1164 80 48 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.5%\n", - "--- Adj/Tot = 0.1%\n", - "--- Update = 1.5182e-02 sec\n", - "--- Collate = 8.3651e-05 sec\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.4469e-03 sec\n", + "--- Collate = 2.6385e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.049341e-04 < 6.250000e-03 [17]\n", - "--- Max DT=3.054103e-01 > 1.000000e-01 [70316]\n", + "--- Min DT=7.561908e-05 < 6.250000e-03 [22]\n", + "--- Max DT=3.053722e-01 > 1.000000e-01 [70303]\n", "----------------------------------------------------------------------\n", - " Component | low: 17/100000\n", - " Component | high: 70316/100000\n", + " Component | low: 22/100000\n", + " Component | high: 70303/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=7.4] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00102951 [ 0.69 %]\n", - "Velocity : 0.00235869 [ 1.58 %]\n", - "Force : 0.0525831 [ 35.29 %]\n", - "Coefs : 0.0213376 [ 14.32 %]\n", - "Output : 0.00135271 [ 0.91 %]\n", - "Levels : 0.000255932 [ 0.17 %]\n", - "Report : 6.08e-07 [ 0.00 %]\n", - "Balance : 3.58e-07 [ 0.00 %]\n", - "Adjust : 0.0700288 [ 47.00 %]\n", - "Total : 0.148997 [100.00 %]\n", + "Drift : 0.000333981 [ 0.81 %]\n", + "Velocity : 0.000742621 [ 1.79 %]\n", + "Force : 0.0150486 [ 36.30 %]\n", + "Coefs : 0.00647752 [ 15.63 %]\n", + "Output : 0.000548605 [ 1.32 %]\n", + "Levels : 0.000132798 [ 0.32 %]\n", + "Report : 1.92e-07 [ 0.00 %]\n", + "Balance : 1.76e-07 [ 0.00 %]\n", + "Adjust : 0.0181539 [ 43.79 %]\n", + "Total : 0.0414551 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6627 410 95 7 3 \n", - "1 : 6638 415 79 6 4 \n", - "2 : 6655 403 79 3 2 \n", - "3 : 6664 407 63 4 4 \n", - "4 : 6634 420 77 7 4 \n", - "5 : 6652 391 86 12 1 \n", - "6 : 6649 389 97 6 1 \n", - "7 : 6609 432 90 8 3 \n", - "8 : 6651 404 73 11 3 \n", - "9 : 6633 414 88 5 2 \n", - "10 : 6664 383 83 5 7 \n", - "11 : 6601 455 77 5 4 \n", - "12 : 6652 406 78 4 2 \n", - "13 : 6654 409 83 8 0 \n", + "0 : 6640 408 87 6 1 \n", + "1 : 6670 385 79 7 1 \n", + "2 : 6608 423 100 8 3 \n", + "3 : 6659 397 77 7 2 \n", + "4 : 6612 413 104 8 5 \n", + "5 : 6656 404 70 7 5 \n", + "6 : 6609 429 97 6 1 \n", + "7 : 6616 427 92 6 1 \n", + "8 : 6677 384 70 7 4 \n", + "9 : 6666 399 68 4 5 \n", + "10 : 6636 417 78 6 5 \n", + "11 : 6624 425 83 7 3 \n", + "12 : 6628 427 79 6 2 \n", + "13 : 6685 382 78 6 3 \n", "\n", - "T : 92983 5738 1148 91 40 [100000]\n", + "T : 92986 5720 1162 91 41 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.5%\n", + "--- Coef/DT = 0.6%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.2079e-02 sec\n", - "--- Collate = 8.1819e-05 sec\n", + "--- Update = 3.5949e-03 sec\n", + "--- Collate = 2.3998e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.290476e-05 < 6.250000e-03 [20]\n", - "--- Max DT=3.054158e-01 > 1.000000e-01 [70320]\n", + "--- Min DT=1.450358e-04 < 6.250000e-03 [22]\n", + "--- Max DT=3.053786e-01 > 1.000000e-01 [70308]\n", "----------------------------------------------------------------------\n", - " Component | low: 20/100000\n", - " Component | high: 70320/100000\n", + " Component | low: 22/100000\n", + " Component | high: 70308/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=7.5] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00101771 [ 0.60 %]\n", - "Velocity : 0.00281604 [ 1.65 %]\n", - "Force : 0.0597792 [ 35.13 %]\n", - "Coefs : 0.0258641 [ 15.20 %]\n", - "Output : 0.00140811 [ 0.83 %]\n", - "Levels : 0.00021793 [ 0.13 %]\n", - "Report : 6.84e-07 [ 0.00 %]\n", - "Balance : 3.59e-07 [ 0.00 %]\n", - "Adjust : 0.0790077 [ 46.43 %]\n", - "Total : 0.170164 [100.00 %]\n", + "Drift : 0.00032035 [ 0.77 %]\n", + "Velocity : 0.000763843 [ 1.84 %]\n", + "Force : 0.0150129 [ 36.14 %]\n", + "Coefs : 0.00645812 [ 15.55 %]\n", + "Output : 0.000556726 [ 1.34 %]\n", + "Levels : 0.000139058 [ 0.33 %]\n", + "Report : 2.33e-07 [ 0.00 %]\n", + "Balance : 1.67e-07 [ 0.00 %]\n", + "Adjust : 0.0182689 [ 43.98 %]\n", + "Total : 0.0415382 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6627 410 94 8 3 \n", - "1 : 6639 412 82 5 4 \n", - "2 : 6656 402 79 4 1 \n", - "3 : 6664 407 64 3 4 \n", - "4 : 6633 420 78 8 3 \n", - "5 : 6653 390 86 11 2 \n", - "6 : 6651 387 97 6 1 \n", - "7 : 6610 431 90 7 4 \n", - "8 : 6649 406 74 10 3 \n", - "9 : 6632 418 84 6 2 \n", - "10 : 6664 382 84 7 5 \n", - "11 : 6602 454 77 6 3 \n", - "12 : 6652 405 78 4 3 \n", - "13 : 6655 408 82 9 0 \n", + "0 : 6638 409 88 6 1 \n", + "1 : 6668 388 78 7 1 \n", + "2 : 6608 425 99 6 4 \n", + "3 : 6659 395 79 7 2 \n", + "4 : 6611 414 104 9 4 \n", + "5 : 6656 405 70 6 5 \n", + "6 : 6611 427 97 6 1 \n", + "7 : 6616 425 94 5 2 \n", + "8 : 6677 384 69 8 4 \n", + "9 : 6664 399 70 5 4 \n", + "10 : 6634 419 78 6 5 \n", + "11 : 6625 425 81 9 2 \n", + "12 : 6628 425 81 6 2 \n", + "13 : 6686 381 79 5 3 \n", "\n", - "T : 92987 5732 1149 94 38 [100000]\n", + "T : 92981 5721 1167 91 40 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.9%\n", - "--- Adj/Tot = 0.2%\n", - "--- Update = 9.9593e-03 sec\n", - "--- Collate = 5.4904e-05 sec\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 3.5962e-03 sec\n", + "--- Collate = 2.4396e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.772754e-05 < 6.250000e-03 [19]\n", - "--- Max DT=3.054213e-01 > 1.000000e-01 [70314]\n", + "--- Min DT=1.917992e-04 < 6.250000e-03 [20]\n", + "--- Max DT=3.053854e-01 > 1.000000e-01 [70321]\n", "----------------------------------------------------------------------\n", - " Component | low: 19/100000\n", - " Component | high: 70314/100000\n", + " Component | low: 20/100000\n", + " Component | high: 70321/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=7.6] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00100433 [ 0.80 %]\n", - "Velocity : 0.00254128 [ 2.02 %]\n", - "Force : 0.0453976 [ 36.01 %]\n", - "Coefs : 0.0173742 [ 13.78 %]\n", - "Output : 0.00131184 [ 1.04 %]\n", - "Levels : 0.000224396 [ 0.18 %]\n", - "Report : 5.61e-07 [ 0.00 %]\n", - "Balance : 3.01e-07 [ 0.00 %]\n", - "Adjust : 0.0581785 [ 46.14 %]\n", - "Total : 0.126078 [100.00 %]\n", + "Drift : 0.000271105 [ 0.65 %]\n", + "Velocity : 0.000822886 [ 1.98 %]\n", + "Force : 0.0149458 [ 35.96 %]\n", + "Coefs : 0.00627055 [ 15.09 %]\n", + "Output : 0.0005953 [ 1.43 %]\n", + "Levels : 0.000119399 [ 0.29 %]\n", + "Report : 2.9e-07 [ 0.00 %]\n", + "Balance : 1.79e-07 [ 0.00 %]\n", + "Adjust : 0.0185147 [ 44.55 %]\n", + "Total : 0.0415578 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6627 410 94 9 2 \n", - "1 : 6633 417 83 4 5 \n", - "2 : 6655 402 80 4 1 \n", - "3 : 6663 407 65 4 3 \n", - "4 : 6634 418 81 6 3 \n", - "5 : 6652 392 85 12 1 \n", - "6 : 6653 385 98 6 0 \n", - "7 : 6608 435 88 7 4 \n", - "8 : 6648 405 75 10 4 \n", - "9 : 6631 419 84 6 2 \n", - "10 : 6664 383 84 7 4 \n", - "11 : 6603 452 78 6 3 \n", - "12 : 6652 405 78 5 2 \n", - "13 : 6656 407 82 9 0 \n", + "0 : 6641 407 87 5 2 \n", + "1 : 6668 387 79 6 2 \n", + "2 : 6605 427 100 6 4 \n", + "3 : 6659 394 80 7 2 \n", + "4 : 6608 417 104 7 6 \n", + "5 : 6658 403 70 6 5 \n", + "6 : 6610 427 98 5 2 \n", + "7 : 6614 427 93 6 2 \n", + "8 : 6678 382 70 7 5 \n", + "9 : 6663 398 72 5 4 \n", + "10 : 6634 418 79 6 5 \n", + "11 : 6622 427 81 11 1 \n", + "12 : 6626 427 81 5 3 \n", + "13 : 6684 383 79 5 3 \n", "\n", - "T : 92979 5737 1155 95 34 [100000]\n", + "T : 92970 5724 1173 87 46 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.0%\n", + "--- Coef/DT = 0.6%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0232e-02 sec\n", - "--- Collate = 8.0971e-05 sec\n", + "--- Update = 3.4557e-03 sec\n", + "--- Collate = 2.5294e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.186777e-05 < 6.250000e-03 [18]\n", - "--- Max DT=3.054268e-01 > 1.000000e-01 [70307]\n", + "--- Min DT=1.174808e-04 < 6.250000e-03 [19]\n", + "--- Max DT=3.053917e-01 > 1.000000e-01 [70319]\n", "----------------------------------------------------------------------\n", - " Component | low: 18/100000\n", - " Component | high: 70307/100000\n", + " Component | low: 19/100000\n", + " Component | high: 70319/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=7.7] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00107597 [ 0.83 %]\n", - "Velocity : 0.00265784 [ 2.04 %]\n", - "Force : 0.0455117 [ 35.01 %]\n", - "Coefs : 0.0192345 [ 14.80 %]\n", - "Output : 0.00126753 [ 0.98 %]\n", - "Levels : 0.0002365 [ 0.18 %]\n", - "Report : 5.39e-07 [ 0.00 %]\n", - "Balance : 2.97e-07 [ 0.00 %]\n", - "Adjust : 0.0599553 [ 46.12 %]\n", - "Total : 0.129988 [100.00 %]\n", + "Drift : 0.00032418 [ 0.79 %]\n", + "Velocity : 0.000756622 [ 1.85 %]\n", + "Force : 0.0149195 [ 36.39 %]\n", + "Coefs : 0.00651868 [ 15.90 %]\n", + "Output : 0.000536989 [ 1.31 %]\n", + "Levels : 0.000117385 [ 0.29 %]\n", + "Report : 2.21e-07 [ 0.00 %]\n", + "Balance : 1.59e-07 [ 0.00 %]\n", + "Adjust : 0.0178083 [ 43.44 %]\n", + "Total : 0.0409991 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6628 406 97 8 3 \n", - "1 : 6636 414 83 4 5 \n", - "2 : 6653 404 80 4 1 \n", - "3 : 6662 408 65 4 3 \n", - "4 : 6634 418 79 7 4 \n", - "5 : 6653 391 85 11 2 \n", - "6 : 6650 387 100 5 0 \n", - "7 : 6608 434 89 7 4 \n", - "8 : 6652 402 74 10 4 \n", - "9 : 6631 419 84 6 2 \n", - "10 : 6663 382 86 8 3 \n", - "11 : 6602 451 79 6 4 \n", - "12 : 6653 403 78 5 3 \n", - "13 : 6656 407 82 9 0 \n", + "0 : 6640 408 87 5 2 \n", + "1 : 6667 388 78 6 3 \n", + "2 : 6605 428 100 5 4 \n", + "3 : 6659 393 81 6 3 \n", + "4 : 6607 418 104 7 6 \n", + "5 : 6658 404 70 7 3 \n", + "6 : 6611 425 100 3 3 \n", + "7 : 6614 426 94 4 4 \n", + "8 : 6676 383 71 9 3 \n", + "9 : 6666 395 71 7 3 \n", + "10 : 6631 420 80 7 4 \n", + "11 : 6626 422 82 12 0 \n", + "12 : 6626 428 80 5 3 \n", + "13 : 6684 382 80 7 1 \n", "\n", - "T : 92981 5726 1161 94 38 [100000]\n", + "T : 92970 5720 1178 90 42 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 0.6%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0774e-02 sec\n", - "--- Collate = 8.1185e-05 sec\n", + "--- Update = 3.6236e-03 sec\n", + "--- Collate = 2.4367e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.664957e-04 < 6.250000e-03 [21]\n", - "--- Max DT=3.054319e-01 > 1.000000e-01 [70303]\n", + "--- Min DT=6.992674e-05 < 6.250000e-03 [20]\n", + "--- Max DT=3.053974e-01 > 1.000000e-01 [70316]\n", "----------------------------------------------------------------------\n", - " Component | low: 21/100000\n", - " Component | high: 70303/100000\n", + " Component | low: 20/100000\n", + " Component | high: 70316/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=7.8] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00110906 [ 0.88 %]\n", - "Velocity : 0.00277878 [ 2.20 %]\n", - "Force : 0.0454775 [ 36.05 %]\n", - "Coefs : 0.0170006 [ 13.47 %]\n", - "Output : 0.0013916 [ 1.10 %]\n", - "Levels : 0.000268413 [ 0.21 %]\n", - "Report : 9.28e-07 [ 0.00 %]\n", - "Balance : 2.82e-07 [ 0.00 %]\n", - "Adjust : 0.058091 [ 46.04 %]\n", - "Total : 0.126165 [100.00 %]\n", + "Drift : 0.000322254 [ 0.77 %]\n", + "Velocity : 0.000745024 [ 1.79 %]\n", + "Force : 0.015025 [ 36.12 %]\n", + "Coefs : 0.00686459 [ 16.50 %]\n", + "Output : 0.000542905 [ 1.31 %]\n", + "Levels : 0.000134033 [ 0.32 %]\n", + "Report : 2.55e-07 [ 0.00 %]\n", + "Balance : 1.78e-07 [ 0.00 %]\n", + "Adjust : 0.0179445 [ 43.14 %]\n", + "Total : 0.0415946 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6630 404 96 9 3 \n", - "1 : 6637 415 82 3 5 \n", - "2 : 6652 406 78 5 1 \n", - "3 : 6661 409 66 4 2 \n", - "4 : 6636 414 79 9 4 \n", - "5 : 6653 390 87 10 2 \n", - "6 : 6652 386 100 4 0 \n", - "7 : 6609 434 87 10 2 \n", - "8 : 6653 403 72 10 4 \n", - "9 : 6632 418 84 6 2 \n", - "10 : 6662 381 88 9 2 \n", - "11 : 6600 451 80 8 3 \n", - "12 : 6651 405 78 4 4 \n", - "13 : 6652 410 82 10 0 \n", + "0 : 6640 408 88 5 1 \n", + "1 : 6666 388 79 5 4 \n", + "2 : 6605 426 102 5 4 \n", + "3 : 6657 395 81 7 2 \n", + "4 : 6606 419 104 6 7 \n", + "5 : 6658 405 69 8 2 \n", + "6 : 6611 424 101 3 3 \n", + "7 : 6614 425 95 4 4 \n", + "8 : 6675 384 72 7 4 \n", + "9 : 6665 394 72 8 3 \n", + "10 : 6631 422 77 8 4 \n", + "11 : 6624 423 84 11 0 \n", + "12 : 6626 428 79 7 2 \n", + "13 : 6685 380 81 7 1 \n", "\n", - "T : 92980 5726 1159 101 34 [100000]\n", + "T : 92963 5721 1184 91 41 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 0.6%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.1328e-02 sec\n", - "--- Collate = 1.0342e-04 sec\n", + "--- Update = 3.5817e-03 sec\n", + "--- Collate = 2.4983e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.239198e-05 < 6.250000e-03 [22]\n", - "--- Max DT=3.054369e-01 > 1.000000e-01 [70301]\n", + "--- Min DT=2.519095e-05 < 6.250000e-03 [21]\n", + "--- Max DT=3.054033e-01 > 1.000000e-01 [70313]\n", "----------------------------------------------------------------------\n", - " Component | low: 22/100000\n", - " Component | high: 70301/100000\n", + " Component | low: 21/100000\n", + " Component | high: 70313/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=7.9] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00080354 [ 0.62 %]\n", - "Velocity : 0.00259718 [ 2.02 %]\n", - "Force : 0.0465278 [ 36.19 %]\n", - "Coefs : 0.01747 [ 13.59 %]\n", - "Output : 0.00130844 [ 1.02 %]\n", - "Levels : 0.000225139 [ 0.18 %]\n", - "Report : 7.39e-07 [ 0.00 %]\n", - "Balance : 3.51e-07 [ 0.00 %]\n", - "Adjust : 0.0595728 [ 46.33 %]\n", - "Total : 0.128572 [100.00 %]\n", + "Drift : 0.00031436 [ 0.77 %]\n", + "Velocity : 0.000730178 [ 1.79 %]\n", + "Force : 0.0150095 [ 36.70 %]\n", + "Coefs : 0.00629594 [ 15.40 %]\n", + "Output : 0.00053935 [ 1.32 %]\n", + "Levels : 0.000109102 [ 0.27 %]\n", + "Report : 3.85e-07 [ 0.00 %]\n", + "Balance : 1.65e-07 [ 0.00 %]\n", + "Adjust : 0.0178799 [ 43.72 %]\n", + "Total : 0.0408954 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6630 404 97 8 3 \n", - "1 : 6638 415 80 5 4 \n", - "2 : 6651 407 79 4 1 \n", - "3 : 6661 407 67 5 2 \n", - "4 : 6636 414 79 9 4 \n", - "5 : 6653 389 89 9 2 \n", - "6 : 6651 388 99 4 0 \n", - "7 : 6607 436 87 10 2 \n", - "8 : 6653 403 72 9 5 \n", - "9 : 6631 419 85 5 2 \n", - "10 : 6665 378 89 8 2 \n", - "11 : 6597 454 83 5 3 \n", - "12 : 6651 405 78 5 3 \n", - "13 : 6653 408 84 8 1 \n", + "0 : 6640 408 88 5 1 \n", + "1 : 6667 388 79 4 4 \n", + "2 : 6606 424 103 5 4 \n", + "3 : 6657 393 83 7 2 \n", + "4 : 6607 418 105 6 6 \n", + "5 : 6656 406 70 8 2 \n", + "6 : 6611 424 100 3 4 \n", + "7 : 6614 425 95 5 3 \n", + "8 : 6673 386 72 6 5 \n", + "9 : 6665 394 73 7 3 \n", + "10 : 6631 421 79 8 3 \n", + "11 : 6624 423 84 10 1 \n", + "12 : 6625 429 79 7 2 \n", + "13 : 6683 382 80 8 1 \n", "\n", - "T : 92977 5727 1168 94 34 [100000]\n", + "T : 92959 5721 1190 89 41 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 0.6%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.1181e-02 sec\n", - "--- Collate = 7.8010e-05 sec\n", + "--- Update = 3.5633e-03 sec\n", + "--- Collate = 2.3413e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.073379e-04 < 6.250000e-03 [22]\n", - "--- Max DT=3.054418e-01 > 1.000000e-01 [70314]\n", + "--- Min DT=3.635445e-05 < 6.250000e-03 [18]\n", + "--- Max DT=3.054094e-01 > 1.000000e-01 [70315]\n", "----------------------------------------------------------------------\n", - " Component | low: 22/100000\n", - " Component | high: 70314/100000\n", + " Component | low: 18/100000\n", + " Component | high: 70315/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=8] -------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000990336 [ 0.68 %]\n", - "Velocity : 0.0024578 [ 1.68 %]\n", - "Force : 0.0506411 [ 34.55 %]\n", - "Coefs : 0.0191956 [ 13.10 %]\n", - "Output : 0.00784443 [ 5.35 %]\n", - "Levels : 0.000272681 [ 0.19 %]\n", - "Report : 1.01e-06 [ 0.00 %]\n", - "Balance : 6.24e-07 [ 0.00 %]\n", - "Adjust : 0.0651234 [ 44.43 %]\n", - "Total : 0.14658 [100.00 %]\n", + "Drift : 0.000316296 [ 0.73 %]\n", + "Velocity : 0.000761153 [ 1.76 %]\n", + "Force : 0.0150682 [ 34.75 %]\n", + "Coefs : 0.00624865 [ 14.41 %]\n", + "Output : 0.00270956 [ 6.25 %]\n", + "Levels : 0.000130267 [ 0.30 %]\n", + "Report : 3.73e-07 [ 0.00 %]\n", + "Balance : 2.34e-07 [ 0.00 %]\n", + "Adjust : 0.0181119 [ 41.77 %]\n", + "Total : 0.0433632 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6631 403 97 9 2 \n", - "1 : 6638 415 80 5 4 \n", - "2 : 6651 408 78 4 1 \n", - "3 : 6660 408 67 3 4 \n", - "4 : 6637 412 82 7 4 \n", - "5 : 6653 390 89 7 3 \n", - "6 : 6655 385 98 4 0 \n", - "7 : 6604 439 87 10 2 \n", - "8 : 6652 402 76 7 5 \n", - "9 : 6632 417 86 6 1 \n", - "10 : 6664 380 88 8 2 \n", - "11 : 6597 454 83 5 3 \n", - "12 : 6651 403 80 5 3 \n", - "13 : 6654 408 84 7 1 \n", + "0 : 6639 408 89 5 1 \n", + "1 : 6666 389 79 5 3 \n", + "2 : 6607 422 104 5 4 \n", + "3 : 6655 396 82 8 1 \n", + "4 : 6606 419 104 7 6 \n", + "5 : 6659 403 70 8 2 \n", + "6 : 6613 424 97 5 3 \n", + "7 : 6613 428 93 5 3 \n", + "8 : 6674 384 72 7 5 \n", + "9 : 6666 393 73 7 3 \n", + "10 : 6630 422 80 6 4 \n", + "11 : 6624 422 86 8 2 \n", + "12 : 6625 428 81 7 1 \n", + "13 : 6682 383 81 7 1 \n", "\n", - "T : 92979 5724 1175 87 35 [100000]\n", + "T : 92959 5721 1191 90 39 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.8%\n", - "--- Adj/Tot = 0.2%\n", - "--- Update = 1.0426e-02 sec\n", - "--- Collate = 7.6437e-05 sec\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 3.6021e-03 sec\n", + "--- Collate = 2.4594e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.341271e-05 < 6.250000e-03 [19]\n", - "--- Max DT=3.054461e-01 > 1.000000e-01 [70308]\n", + "--- Min DT=2.471853e-04 < 6.250000e-03 [19]\n", + "--- Max DT=3.054138e-01 > 1.000000e-01 [70319]\n", "----------------------------------------------------------------------\n", " Component | low: 19/100000\n", - " Component | high: 70308/100000\n", + " Component | high: 70319/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=8.1] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00115676 [ 0.89 %]\n", - "Velocity : 0.00217811 [ 1.68 %]\n", - "Force : 0.0461988 [ 35.57 %]\n", - "Coefs : 0.0185173 [ 14.26 %]\n", - "Output : 0.00134242 [ 1.03 %]\n", - "Levels : 0.000259104 [ 0.20 %]\n", - "Report : 5.51e-07 [ 0.00 %]\n", - "Balance : 3.32e-07 [ 0.00 %]\n", - "Adjust : 0.0601807 [ 46.34 %]\n", - "Total : 0.12988 [100.00 %]\n", + "Drift : 0.00031795 [ 0.77 %]\n", + "Velocity : 0.00070327 [ 1.71 %]\n", + "Force : 0.0149416 [ 36.39 %]\n", + "Coefs : 0.00646823 [ 15.75 %]\n", + "Output : 0.000564878 [ 1.38 %]\n", + "Levels : 0.000113644 [ 0.28 %]\n", + "Report : 2.03e-07 [ 0.00 %]\n", + "Balance : 1.69e-07 [ 0.00 %]\n", + "Adjust : 0.0179301 [ 43.67 %]\n", + "Total : 0.041057 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6632 403 96 9 2 \n", - "1 : 6640 413 82 3 4 \n", - "2 : 6650 409 78 3 2 \n", - "3 : 6663 405 67 3 4 \n", - "4 : 6639 411 82 6 4 \n", - "5 : 6651 392 89 7 3 \n", - "6 : 6652 387 101 2 0 \n", - "7 : 6601 442 88 8 3 \n", - "8 : 6652 402 77 6 5 \n", - "9 : 6633 418 86 4 1 \n", - "10 : 6662 382 89 7 2 \n", - "11 : 6596 455 83 4 4 \n", - "12 : 6653 403 78 4 4 \n", - "13 : 6652 410 84 6 2 \n", + "0 : 6640 406 90 5 1 \n", + "1 : 6666 390 78 5 3 \n", + "2 : 6602 427 104 6 3 \n", + "3 : 6654 398 81 8 1 \n", + "4 : 6607 417 105 6 7 \n", + "5 : 6654 407 70 8 3 \n", + "6 : 6613 422 97 7 3 \n", + "7 : 6614 425 95 5 3 \n", + "8 : 6675 386 69 7 5 \n", + "9 : 6666 394 71 8 3 \n", + "10 : 6630 421 82 4 5 \n", + "11 : 6624 423 85 7 3 \n", + "12 : 6627 425 82 7 1 \n", + "13 : 6681 385 80 6 2 \n", "\n", - "T : 92976 5732 1180 72 40 [100000]\n", + "T : 92953 5726 1189 89 43 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.8%\n", + "--- Coef/DT = 0.6%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0390e-02 sec\n", - "--- Collate = 9.6935e-05 sec\n", + "--- Update = 3.6091e-03 sec\n", + "--- Collate = 2.5193e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.955616e-05 < 6.250000e-03 [20]\n", - "--- Max DT=3.054501e-01 > 1.000000e-01 [70316]\n", + "--- Min DT=9.770232e-05 < 6.250000e-03 [22]\n", + "--- Max DT=3.054186e-01 > 1.000000e-01 [70324]\n", "----------------------------------------------------------------------\n", - " Component | low: 20/100000\n", - " Component | high: 70316/100000\n", + " Component | low: 22/100000\n", + " Component | high: 70324/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=8.2] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00087544 [ 0.69 %]\n", - "Velocity : 0.0025859 [ 2.04 %]\n", - "Force : 0.04537 [ 35.81 %]\n", - "Coefs : 0.0170268 [ 13.44 %]\n", - "Output : 0.00133479 [ 1.05 %]\n", - "Levels : 0.000253085 [ 0.20 %]\n", - "Report : 6.47e-07 [ 0.00 %]\n", - "Balance : 6.39e-07 [ 0.00 %]\n", - "Adjust : 0.0592176 [ 46.73 %]\n", - "Total : 0.126711 [100.00 %]\n", + "Drift : 0.000319654 [ 0.77 %]\n", + "Velocity : 0.000768305 [ 1.86 %]\n", + "Force : 0.0151559 [ 36.65 %]\n", + "Coefs : 0.0064956 [ 15.71 %]\n", + "Output : 0.000538761 [ 1.30 %]\n", + "Levels : 0.000128821 [ 0.31 %]\n", + "Report : 2.22e-07 [ 0.00 %]\n", + "Balance : 1.75e-07 [ 0.00 %]\n", + "Adjust : 0.017929 [ 43.36 %]\n", + "Total : 0.041353 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6633 402 95 11 1 \n", - "1 : 6641 411 83 4 3 \n", - "2 : 6653 406 78 2 3 \n", - "3 : 6663 405 67 3 4 \n", - "4 : 6639 411 82 6 4 \n", - "5 : 6653 390 87 9 3 \n", - "6 : 6654 385 100 2 1 \n", - "7 : 6601 441 89 8 3 \n", - "8 : 6652 401 78 7 4 \n", - "9 : 6635 416 84 6 1 \n", - "10 : 6660 385 87 8 2 \n", - "11 : 6594 457 83 4 4 \n", - "12 : 6652 404 78 4 4 \n", - "13 : 6650 413 83 6 2 \n", + "0 : 6639 407 90 5 1 \n", + "1 : 6668 388 78 6 2 \n", + "2 : 6602 425 107 5 3 \n", + "3 : 6652 400 81 8 1 \n", + "4 : 6607 418 104 9 4 \n", + "5 : 6657 404 71 7 3 \n", + "6 : 6613 425 94 7 3 \n", + "7 : 6616 423 98 2 3 \n", + "8 : 6675 384 71 6 6 \n", + "9 : 6665 394 74 7 2 \n", + "10 : 6634 417 81 4 6 \n", + "11 : 6623 424 85 7 3 \n", + "12 : 6627 424 84 6 1 \n", + "13 : 6681 386 79 5 3 \n", "\n", - "T : 92980 5727 1174 80 39 [100000]\n", + "T : 92959 5719 1197 84 41 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.6%\n", - "--- Adj/Tot = 0.1%\n", - "--- Update = 1.1573e-02 sec\n", - "--- Collate = 1.2543e-04 sec\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.6654e-03 sec\n", + "--- Collate = 2.5131e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.985618e-04 < 6.250000e-03 [20]\n", - "--- Max DT=3.054541e-01 > 1.000000e-01 [70319]\n", + "--- Min DT=6.552717e-05 < 6.250000e-03 [22]\n", + "--- Max DT=3.054228e-01 > 1.000000e-01 [70316]\n", "----------------------------------------------------------------------\n", - " Component | low: 20/100000\n", - " Component | high: 70319/100000\n", + " Component | low: 22/100000\n", + " Component | high: 70316/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=8.3] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000998203 [ 0.77 %]\n", - "Velocity : 0.00266291 [ 2.06 %]\n", - "Force : 0.0452483 [ 35.01 %]\n", - "Coefs : 0.0171549 [ 13.27 %]\n", - "Output : 0.00117296 [ 0.91 %]\n", - "Levels : 0.000240145 [ 0.19 %]\n", - "Report : 5.42e-07 [ 0.00 %]\n", - "Balance : 3.94e-07 [ 0.00 %]\n", - "Adjust : 0.0617401 [ 47.76 %]\n", - "Total : 0.129261 [100.00 %]\n", + "Drift : 0.000335564 [ 0.82 %]\n", + "Velocity : 0.000738324 [ 1.81 %]\n", + "Force : 0.0148567 [ 36.33 %]\n", + "Coefs : 0.00646055 [ 15.80 %]\n", + "Output : 0.000516413 [ 1.26 %]\n", + "Levels : 0.000105857 [ 0.26 %]\n", + "Report : 1.98e-07 [ 0.00 %]\n", + "Balance : 1.6e-07 [ 0.00 %]\n", + "Adjust : 0.0178672 [ 43.69 %]\n", + "Total : 0.0408973 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6635 401 95 9 2 \n", - "1 : 6643 408 83 5 3 \n", - "2 : 6651 409 77 2 3 \n", - "3 : 6664 404 67 3 4 \n", - "4 : 6639 409 82 9 3 \n", - "5 : 6652 391 87 9 3 \n", - "6 : 6655 384 98 4 1 \n", - "7 : 6601 442 88 8 3 \n", - "8 : 6653 401 77 8 3 \n", - "9 : 6637 415 83 6 1 \n", - "10 : 6662 384 87 7 2 \n", - "11 : 6595 457 82 4 4 \n", - "12 : 6652 405 77 4 4 \n", - "13 : 6650 413 83 6 2 \n", + "0 : 6639 407 91 4 1 \n", + "1 : 6668 388 79 5 2 \n", + "2 : 6604 425 104 6 3 \n", + "3 : 6654 398 80 9 1 \n", + "4 : 6605 419 104 9 5 \n", + "5 : 6654 405 74 4 5 \n", + "6 : 6612 426 93 7 4 \n", + "7 : 6617 423 95 4 3 \n", + "8 : 6675 385 70 7 5 \n", + "9 : 6665 392 76 8 1 \n", + "10 : 6635 417 80 4 6 \n", + "11 : 6623 423 87 6 3 \n", + "12 : 6628 422 84 7 1 \n", + "13 : 6680 387 79 6 2 \n", "\n", - "T : 92989 5723 1166 84 38 [100000]\n", + "T : 92959 5717 1196 86 42 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.7%\n", + "--- Coef/DT = 0.5%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.1722e-02 sec\n", - "--- Collate = 7.5642e-05 sec\n", + "--- Update = 3.6212e-03 sec\n", + "--- Collate = 2.4034e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.544066e-04 < 6.250000e-03 [19]\n", - "--- Max DT=3.054574e-01 > 1.000000e-01 [70320]\n", + "--- Min DT=4.033256e-05 < 6.250000e-03 [21]\n", + "--- Max DT=3.054264e-01 > 1.000000e-01 [70322]\n", "----------------------------------------------------------------------\n", - " Component | low: 19/100000\n", - " Component | high: 70320/100000\n", + " Component | low: 21/100000\n", + " Component | high: 70322/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=8.4] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00106426 [ 0.78 %]\n", - "Velocity : 0.00266202 [ 1.96 %]\n", - "Force : 0.049747 [ 36.64 %]\n", - "Coefs : 0.0189831 [ 13.98 %]\n", - "Output : 0.00139238 [ 1.03 %]\n", - "Levels : 0.000249784 [ 0.18 %]\n", - "Report : 5.93e-07 [ 0.00 %]\n", - "Balance : 3.53e-07 [ 0.00 %]\n", - "Adjust : 0.0616127 [ 45.38 %]\n", - "Total : 0.135762 [100.00 %]\n", + "Drift : 0.000324948 [ 0.80 %]\n", + "Velocity : 0.000734997 [ 1.81 %]\n", + "Force : 0.0149436 [ 36.70 %]\n", + "Coefs : 0.00621123 [ 15.26 %]\n", + "Output : 0.000520182 [ 1.28 %]\n", + "Levels : 0.000105299 [ 0.26 %]\n", + "Report : 1.64e-07 [ 0.00 %]\n", + "Balance : 1.72e-07 [ 0.00 %]\n", + "Adjust : 0.0178591 [ 43.86 %]\n", + "Total : 0.0407154 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6635 403 94 8 2 \n", - "1 : 6644 407 83 4 4 \n", - "2 : 6655 406 76 1 4 \n", - "3 : 6664 403 68 4 3 \n", - "4 : 6641 405 83 11 2 \n", - "5 : 6651 393 87 8 3 \n", - "6 : 6655 382 99 5 1 \n", - "7 : 6602 440 89 8 3 \n", - "8 : 6652 400 79 8 3 \n", - "9 : 6636 413 86 6 1 \n", - "10 : 6662 384 87 7 2 \n", - "11 : 6595 456 83 3 5 \n", - "12 : 6652 404 78 4 4 \n", - "13 : 6651 411 83 6 3 \n", + "0 : 6639 407 91 4 1 \n", + "1 : 6666 390 78 6 2 \n", + "2 : 6603 426 104 5 4 \n", + "3 : 6653 400 80 7 2 \n", + "4 : 6606 417 105 7 7 \n", + "5 : 6653 406 74 4 5 \n", + "6 : 6608 432 91 7 4 \n", + "7 : 6615 425 94 5 3 \n", + "8 : 6674 387 69 8 4 \n", + "9 : 6666 392 75 8 1 \n", + "10 : 6637 415 79 4 7 \n", + "11 : 6624 423 87 5 3 \n", + "12 : 6627 422 86 5 2 \n", + "13 : 6679 387 79 6 3 \n", "\n", - "T : 92995 5707 1175 83 40 [100000]\n", + "T : 92950 5729 1192 81 48 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.7%\n", - "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0480e-02 sec\n", - "--- Collate = 6.9543e-05 sec\n", - "----------------------------------------------------------------------\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.5994e-03 sec\n", + "--- Collate = 2.4787e-05 sec\n", + "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.924564e-05 < 6.250000e-03 [20]\n", - "--- Max DT=3.054605e-01 > 1.000000e-01 [70331]\n", + "--- Min DT=3.273355e-04 < 6.250000e-03 [23]\n", + "--- Max DT=3.054304e-01 > 1.000000e-01 [70326]\n", "----------------------------------------------------------------------\n", - " Component | low: 20/100000\n", - " Component | high: 70331/100000\n", + " Component | low: 23/100000\n", + " Component | high: 70326/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=8.5] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000967716 [ 0.75 %]\n", - "Velocity : 0.00241116 [ 1.86 %]\n", - "Force : 0.0488868 [ 37.64 %]\n", - "Coefs : 0.0189203 [ 14.57 %]\n", - "Output : 0.00130179 [ 1.00 %]\n", - "Levels : 0.000199013 [ 0.15 %]\n", - "Report : 6.49e-07 [ 0.00 %]\n", - "Balance : 3.24e-07 [ 0.00 %]\n", - "Adjust : 0.0571404 [ 44.00 %]\n", - "Total : 0.129876 [100.00 %]\n", + "Drift : 0.000332889 [ 0.81 %]\n", + "Velocity : 0.000743076 [ 1.81 %]\n", + "Force : 0.0150629 [ 36.64 %]\n", + "Coefs : 0.00634369 [ 15.43 %]\n", + "Output : 0.000545723 [ 1.33 %]\n", + "Levels : 0.000107915 [ 0.26 %]\n", + "Report : 2.48e-07 [ 0.00 %]\n", + "Balance : 1.65e-07 [ 0.00 %]\n", + "Adjust : 0.0179593 [ 43.68 %]\n", + "Total : 0.0411134 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6636 402 94 8 2 \n", - "1 : 6646 405 82 5 4 \n", - "2 : 6655 405 77 1 4 \n", - "3 : 6664 401 70 5 2 \n", - "4 : 6642 405 82 10 3 \n", - "5 : 6651 392 87 10 2 \n", - "6 : 6657 379 100 5 1 \n", - "7 : 6602 441 88 9 2 \n", - "8 : 6654 398 79 9 2 \n", - "9 : 6635 415 84 7 1 \n", - "10 : 6661 387 84 8 2 \n", - "11 : 6594 459 80 4 5 \n", - "12 : 6651 406 77 4 4 \n", - "13 : 6649 412 84 5 4 \n", + "0 : 6637 410 89 4 2 \n", + "1 : 6665 391 79 5 2 \n", + "2 : 6604 424 105 4 5 \n", + "3 : 6653 400 82 4 3 \n", + "4 : 6604 419 104 9 6 \n", + "5 : 6653 406 74 3 6 \n", + "6 : 6608 432 92 5 5 \n", + "7 : 6616 422 96 7 1 \n", + "8 : 6674 386 70 10 2 \n", + "9 : 6664 393 76 8 1 \n", + "10 : 6638 414 79 4 7 \n", + "11 : 6623 424 87 5 3 \n", + "12 : 6628 421 85 6 2 \n", + "13 : 6678 388 79 6 3 \n", "\n", - "T : 92997 5707 1168 90 38 [100000]\n", + "T : 92945 5730 1197 80 48 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.7%\n", - "--- Adj/Tot = 0.1%\n", - "--- Update = 9.7763e-03 sec\n", - "--- Collate = 7.8243e-05 sec\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.6222e-03 sec\n", + "--- Collate = 2.5086e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.502502e-04 < 6.250000e-03 [22]\n", - "--- Max DT=3.054633e-01 > 1.000000e-01 [70324]\n", + "--- Min DT=9.190790e-05 < 6.250000e-03 [24]\n", + "--- Max DT=3.054336e-01 > 1.000000e-01 [70319]\n", "----------------------------------------------------------------------\n", - " Component | low: 22/100000\n", - " Component | high: 70324/100000\n", + " Component | low: 24/100000\n", + " Component | high: 70319/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=8.6] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000911441 [ 0.70 %]\n", - "Velocity : 0.00221587 [ 1.70 %]\n", - "Force : 0.0491112 [ 37.74 %]\n", - "Coefs : 0.0192008 [ 14.76 %]\n", - "Output : 0.00126829 [ 0.97 %]\n", - "Levels : 0.000251381 [ 0.19 %]\n", - "Report : 7.23e-07 [ 0.00 %]\n", - "Balance : 3e-07 [ 0.00 %]\n", - "Adjust : 0.0570962 [ 43.88 %]\n", - "Total : 0.130127 [100.00 %]\n", + "Drift : 0.000320628 [ 0.78 %]\n", + "Velocity : 0.000755701 [ 1.83 %]\n", + "Force : 0.0149949 [ 36.32 %]\n", + "Coefs : 0.00654747 [ 15.86 %]\n", + "Output : 0.000572886 [ 1.39 %]\n", + "Levels : 0.00012031 [ 0.29 %]\n", + "Report : 2.29e-07 [ 0.00 %]\n", + "Balance : 1.73e-07 [ 0.00 %]\n", + "Adjust : 0.0179558 [ 43.49 %]\n", + "Total : 0.0412848 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6637 402 94 7 2 \n", - "1 : 6647 404 83 4 4 \n", - "2 : 6654 406 77 0 5 \n", - "3 : 6663 401 71 6 1 \n", - "4 : 6641 406 83 9 3 \n", - "5 : 6649 394 87 9 3 \n", - "6 : 6655 383 96 6 2 \n", - "7 : 6600 443 86 10 3 \n", - "8 : 6652 398 80 10 2 \n", - "9 : 6632 419 83 7 1 \n", - "10 : 6663 386 83 8 2 \n", - "11 : 6595 458 79 6 4 \n", - "12 : 6653 404 78 3 4 \n", - "13 : 6648 411 86 5 4 \n", + "0 : 6640 408 88 5 1 \n", + "1 : 6665 391 77 7 2 \n", + "2 : 6604 424 104 6 4 \n", + "3 : 6653 400 82 4 3 \n", + "4 : 6606 418 103 8 7 \n", + "5 : 6654 406 72 5 5 \n", + "6 : 6610 430 91 6 5 \n", + "7 : 6616 425 94 5 2 \n", + "8 : 6675 385 71 10 1 \n", + "9 : 6663 394 74 10 1 \n", + "10 : 6640 411 80 4 7 \n", + "11 : 6621 427 87 4 3 \n", + "12 : 6628 424 81 6 3 \n", + "13 : 6678 387 80 6 3 \n", "\n", - "T : 92989 5715 1166 90 40 [100000]\n", + "T : 92953 5730 1184 86 47 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.6%\n", - "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0268e-02 sec\n", - "--- Collate = 7.8940e-05 sec\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.6411e-03 sec\n", + "--- Collate = 2.8173e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.921668e-04 < 6.250000e-03 [23]\n", - "--- Max DT=3.054660e-01 > 1.000000e-01 [70327]\n", + "--- Min DT=9.165386e-05 < 6.250000e-03 [22]\n", + "--- Max DT=3.054368e-01 > 1.000000e-01 [70318]\n", "----------------------------------------------------------------------\n", - " Component | low: 23/100000\n", - " Component | high: 70327/100000\n", + " Component | low: 22/100000\n", + " Component | high: 70318/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=8.7] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00105477 [ 0.83 %]\n", - "Velocity : 0.00243166 [ 1.92 %]\n", - "Force : 0.0471096 [ 37.15 %]\n", - "Coefs : 0.0173769 [ 13.70 %]\n", - "Output : 0.0013866 [ 1.09 %]\n", - "Levels : 0.000239966 [ 0.19 %]\n", - "Report : 8.83e-07 [ 0.00 %]\n", - "Balance : 3.23e-07 [ 0.00 %]\n", - "Adjust : 0.0571779 [ 45.08 %]\n", - "Total : 0.126826 [100.00 %]\n", + "Drift : 0.00032195 [ 0.78 %]\n", + "Velocity : 0.000738884 [ 1.80 %]\n", + "Force : 0.0149524 [ 36.36 %]\n", + "Coefs : 0.00644079 [ 15.66 %]\n", + "Output : 0.000556311 [ 1.35 %]\n", + "Levels : 0.000110874 [ 0.27 %]\n", + "Report : 1.76e-07 [ 0.00 %]\n", + "Balance : 1.73e-07 [ 0.00 %]\n", + "Adjust : 0.0179831 [ 43.73 %]\n", + "Total : 0.0411207 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6636 404 93 6 3 \n", - "1 : 6648 402 83 6 3 \n", - "2 : 6652 408 76 2 4 \n", - "3 : 6665 399 72 5 1 \n", - "4 : 6644 403 83 9 3 \n", - "5 : 6646 397 87 8 4 \n", - "6 : 6654 385 95 6 2 \n", - "7 : 6602 441 85 10 4 \n", - "8 : 6653 398 81 8 2 \n", - "9 : 6631 420 83 7 1 \n", - "10 : 6660 389 83 8 2 \n", - "11 : 6597 456 79 5 5 \n", - "12 : 6653 405 77 3 4 \n", - "13 : 6648 411 88 4 3 \n", + "0 : 6639 409 88 5 1 \n", + "1 : 6664 389 80 7 2 \n", + "2 : 6603 424 105 5 5 \n", + "3 : 6653 399 82 6 2 \n", + "4 : 6607 416 105 8 6 \n", + "5 : 6653 408 71 5 5 \n", + "6 : 6610 430 92 7 3 \n", + "7 : 6617 422 98 4 1 \n", + "8 : 6675 385 71 8 3 \n", + "9 : 6663 390 80 8 1 \n", + "10 : 6639 412 79 7 5 \n", + "11 : 6621 429 84 5 3 \n", + "12 : 6627 426 81 4 4 \n", + "13 : 6677 388 80 6 3 \n", "\n", - "T : 92989 5718 1165 87 41 [100000]\n", + "T : 92948 5727 1196 85 44 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.7%\n", - "--- Adj/Tot = 0.1%\n", - "--- Update = 1.1314e-02 sec\n", - "--- Collate = 7.1825e-05 sec\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.6614e-03 sec\n", + "--- Collate = 2.4247e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.125148e-04 < 6.250000e-03 [23]\n", - "--- Max DT=3.054680e-01 > 1.000000e-01 [70332]\n", + "--- Min DT=2.698704e-04 < 6.250000e-03 [22]\n", + "--- Max DT=3.054406e-01 > 1.000000e-01 [70333]\n", "----------------------------------------------------------------------\n", - " Component | low: 23/100000\n", - " Component | high: 70332/100000\n", + " Component | low: 22/100000\n", + " Component | high: 70333/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=8.8] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00107762 [ 0.85 %]\n", - "Velocity : 0.00259938 [ 2.04 %]\n", - "Force : 0.0456204 [ 35.82 %]\n", - "Coefs : 0.0173399 [ 13.62 %]\n", - "Output : 0.00129995 [ 1.02 %]\n", - "Levels : 0.000229125 [ 0.18 %]\n", - "Report : 5.56e-07 [ 0.00 %]\n", - "Balance : 3.85e-07 [ 0.00 %]\n", - "Adjust : 0.0591285 [ 46.43 %]\n", - "Total : 0.127346 [100.00 %]\n", + "Drift : 0.000337112 [ 0.81 %]\n", + "Velocity : 0.000775201 [ 1.87 %]\n", + "Force : 0.0151117 [ 36.53 %]\n", + "Coefs : 0.00647826 [ 15.66 %]\n", + "Output : 0.000525151 [ 1.27 %]\n", + "Levels : 0.000109534 [ 0.26 %]\n", + "Report : 1.78e-07 [ 0.00 %]\n", + "Balance : 1.71e-07 [ 0.00 %]\n", + "Adjust : 0.0180194 [ 43.55 %]\n", + "Total : 0.0413732 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6637 403 92 7 3 \n", - "1 : 6648 400 85 5 4 \n", - "2 : 6653 407 76 2 4 \n", - "3 : 6667 397 72 4 2 \n", - "4 : 6646 401 83 10 2 \n", - "5 : 6643 401 86 9 3 \n", - "6 : 6657 381 98 4 2 \n", - "7 : 6605 438 86 8 5 \n", - "8 : 6652 398 81 8 3 \n", - "9 : 6630 420 85 6 1 \n", - "10 : 6662 388 82 8 2 \n", - "11 : 6594 458 80 5 5 \n", - "12 : 6654 402 79 5 2 \n", - "13 : 6649 411 86 4 4 \n", + "0 : 6640 408 86 8 0 \n", + "1 : 6665 389 79 7 2 \n", + "2 : 6603 424 104 6 5 \n", + "3 : 6653 398 82 7 2 \n", + "4 : 6602 421 105 8 6 \n", + "5 : 6652 409 71 5 5 \n", + "6 : 6610 430 93 6 3 \n", + "7 : 6618 420 99 4 1 \n", + "8 : 6677 382 72 7 4 \n", + "9 : 6664 389 78 8 3 \n", + "10 : 6639 412 80 7 4 \n", + "11 : 6619 431 84 5 3 \n", + "12 : 6626 427 80 5 4 \n", + "13 : 6673 390 82 6 3 \n", "\n", - "T : 92997 5705 1171 85 42 [100000]\n", + "T : 92941 5730 1195 89 45 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.6%\n", + "--- Coef/DT = 0.7%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.1958e-02 sec\n", - "--- Collate = 8.7359e-05 sec\n", + "--- Update = 3.6207e-03 sec\n", + "--- Collate = 2.4505e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.912546e-05 < 6.250000e-03 [26]\n", - "--- Max DT=3.054698e-01 > 1.000000e-01 [70335]\n", + "--- Min DT=2.088988e-04 < 6.250000e-03 [25]\n", + "--- Max DT=3.054443e-01 > 1.000000e-01 [70336]\n", "----------------------------------------------------------------------\n", - " Component | low: 26/100000\n", - " Component | high: 70335/100000\n", + " Component | low: 25/100000\n", + " Component | high: 70336/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=8.9] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00103478 [ 0.75 %]\n", - "Velocity : 0.00248419 [ 1.80 %]\n", - "Force : 0.0514529 [ 37.24 %]\n", - "Coefs : 0.0192462 [ 13.93 %]\n", - "Output : 0.00147611 [ 1.07 %]\n", - "Levels : 0.000270016 [ 0.20 %]\n", - "Report : 6.14e-07 [ 0.00 %]\n", - "Balance : 3.59e-07 [ 0.00 %]\n", - "Adjust : 0.0621459 [ 44.98 %]\n", - "Total : 0.138162 [100.00 %]\n", + "Drift : 0.000314622 [ 0.77 %]\n", + "Velocity : 0.000730155 [ 1.79 %]\n", + "Force : 0.0149013 [ 36.62 %]\n", + "Coefs : 0.00619362 [ 15.22 %]\n", + "Output : 0.000533589 [ 1.31 %]\n", + "Levels : 0.000114185 [ 0.28 %]\n", + "Report : 2.77e-07 [ 0.00 %]\n", + "Balance : 1.71e-07 [ 0.00 %]\n", + "Adjust : 0.0178904 [ 43.96 %]\n", + "Total : 0.0406943 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6637 403 92 7 3 \n", - "1 : 6648 400 85 5 4 \n", - "2 : 6655 404 77 2 4 \n", - "3 : 6667 397 72 4 2 \n", - "4 : 6645 403 84 8 2 \n", - "5 : 6643 401 85 8 5 \n", - "6 : 6657 380 99 4 2 \n", - "7 : 6606 438 86 6 6 \n", - "8 : 6651 399 81 9 2 \n", - "9 : 6632 418 86 5 1 \n", - "10 : 6665 383 85 7 2 \n", - "11 : 6593 461 77 6 5 \n", - "12 : 6654 402 79 5 2 \n", - "13 : 6650 409 87 4 4 \n", + "0 : 6641 407 85 9 0 \n", + "1 : 6663 391 78 8 2 \n", + "2 : 6604 422 104 7 5 \n", + "3 : 6654 397 82 8 1 \n", + "4 : 6603 421 104 9 5 \n", + "5 : 6652 409 70 7 4 \n", + "6 : 6611 430 91 7 3 \n", + "7 : 6619 419 97 7 0 \n", + "8 : 6676 382 73 7 4 \n", + "9 : 6661 391 79 7 4 \n", + "10 : 6638 413 80 7 4 \n", + "11 : 6618 431 86 6 1 \n", + "12 : 6626 426 81 5 4 \n", + "13 : 6678 385 81 7 3 \n", "\n", - "T : 93003 5698 1175 80 44 [100000]\n", + "T : 92944 5724 1191 101 40 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.0%\n", + "--- Coef/DT = 0.8%\n", "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0646e-02 sec\n", - "--- Collate = 8.6128e-05 sec\n", + "--- Update = 3.6227e-03 sec\n", + "--- Collate = 2.1570e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.803414e-05 < 6.250000e-03 [26]\n", - "--- Max DT=3.054720e-01 > 1.000000e-01 [70330]\n", + "--- Min DT=3.665476e-05 < 6.250000e-03 [22]\n", + "--- Max DT=3.054480e-01 > 1.000000e-01 [70330]\n", "----------------------------------------------------------------------\n", - " Component | low: 26/100000\n", + " Component | low: 22/100000\n", " Component | high: 70330/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=9] -------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00106859 [ 0.74 %]\n", - "Velocity : 0.00262048 [ 1.83 %]\n", - "Force : 0.0507348 [ 35.35 %]\n", - "Coefs : 0.0199719 [ 13.91 %]\n", - "Output : 0.00727411 [ 5.07 %]\n", - "Levels : 0.000242208 [ 0.17 %]\n", - "Report : 1.7e-06 [ 0.00 %]\n", - "Balance : 9.63e-07 [ 0.00 %]\n", - "Adjust : 0.0615695 [ 42.90 %]\n", - "Total : 0.143534 [100.00 %]\n", + "Drift : 0.000320398 [ 0.74 %]\n", + "Velocity : 0.00074729 [ 1.73 %]\n", + "Force : 0.0150724 [ 34.94 %]\n", + "Coefs : 0.00621803 [ 14.41 %]\n", + "Output : 0.00272628 [ 6.32 %]\n", + "Levels : 0.000115938 [ 0.27 %]\n", + "Report : 2.95e-07 [ 0.00 %]\n", + "Balance : 2.52e-07 [ 0.00 %]\n", + "Adjust : 0.0179212 [ 41.54 %]\n", + "Total : 0.0431389 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6636 404 91 7 4 \n", - "1 : 6647 399 86 6 4 \n", - "2 : 6655 403 78 2 4 \n", - "3 : 6670 394 72 5 1 \n", - "4 : 6645 403 83 9 2 \n", - "5 : 6643 400 86 9 4 \n", - "6 : 6659 378 99 3 3 \n", - "7 : 6606 438 86 6 6 \n", - "8 : 6653 399 78 10 2 \n", - "9 : 6630 421 85 5 1 \n", - "10 : 6664 383 86 7 2 \n", - "11 : 6592 461 79 5 5 \n", - "12 : 6654 401 79 6 2 \n", - "13 : 6652 405 87 6 4 \n", + "0 : 6641 407 84 9 1 \n", + "1 : 6664 390 78 8 2 \n", + "2 : 6604 421 106 6 5 \n", + "3 : 6654 398 81 8 1 \n", + "4 : 6604 421 104 9 4 \n", + "5 : 6651 410 71 7 3 \n", + "6 : 6610 431 91 7 3 \n", + "7 : 6619 419 96 8 0 \n", + "8 : 6679 381 71 7 4 \n", + "9 : 6661 391 78 10 2 \n", + "10 : 6639 412 80 8 3 \n", + "11 : 6618 431 86 6 1 \n", + "12 : 6624 426 82 6 4 \n", + "13 : 6674 387 83 7 3 \n", "\n", - "T : 93006 5689 1175 86 44 [100000]\n", + "T : 92942 5725 1191 106 36 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.9%\n", + "--- Coef/DT = 0.8%\n", "--- Adj/Tot = 0.2%\n", - "--- Update = 9.6089e-03 sec\n", - "--- Collate = 6.6879e-05 sec\n", + "--- Update = 3.5891e-03 sec\n", + "--- Collate = 2.4169e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.058258e-04 < 6.250000e-03 [22]\n", - "--- Max DT=3.054734e-01 > 1.000000e-01 [70335]\n", + "--- Min DT=2.710556e-06 < 6.250000e-03 [17]\n", + "--- Max DT=3.054520e-01 > 1.000000e-01 [70334]\n", "----------------------------------------------------------------------\n", - " Component | low: 22/100000\n", - " Component | high: 70335/100000\n", + " Component | low: 17/100000\n", + " Component | high: 70334/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=9.1] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00104317 [ 0.82 %]\n", - "Velocity : 0.00262773 [ 2.06 %]\n", - "Force : 0.0471396 [ 36.94 %]\n", - "Coefs : 0.0172847 [ 13.55 %]\n", - "Output : 0.00130465 [ 1.02 %]\n", - "Levels : 0.00029065 [ 0.23 %]\n", - "Report : 6.61e-07 [ 0.00 %]\n", - "Balance : 3.36e-07 [ 0.00 %]\n", - "Adjust : 0.0578705 [ 45.35 %]\n", - "Total : 0.127608 [100.00 %]\n", + "Drift : 0.000302516 [ 0.74 %]\n", + "Velocity : 0.000697399 [ 1.70 %]\n", + "Force : 0.0150157 [ 36.58 %]\n", + "Coefs : 0.006286 [ 15.31 %]\n", + "Output : 0.000563801 [ 1.37 %]\n", + "Levels : 0.000131323 [ 0.32 %]\n", + "Report : 3.7e-07 [ 0.00 %]\n", + "Balance : 1.74e-07 [ 0.00 %]\n", + "Adjust : 0.0180342 [ 43.93 %]\n", + "Total : 0.0410481 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6637 401 93 6 5 \n", - "1 : 6651 395 86 6 4 \n", - "2 : 6652 405 79 3 3 \n", - "3 : 6670 393 73 5 1 \n", - "4 : 6650 398 82 10 2 \n", - "5 : 6641 401 87 9 4 \n", - "6 : 6661 376 99 2 4 \n", - "7 : 6607 437 84 7 7 \n", - "8 : 6649 403 78 10 2 \n", - "9 : 6632 419 85 5 1 \n", - "10 : 6662 382 89 6 3 \n", - "11 : 6590 463 79 7 3 \n", - "12 : 6655 399 80 5 3 \n", - "13 : 6651 406 86 8 3 \n", + "0 : 6641 408 83 9 1 \n", + "1 : 6665 389 78 6 4 \n", + "2 : 6604 421 106 6 5 \n", + "3 : 6654 398 82 6 2 \n", + "4 : 6604 421 103 11 3 \n", + "5 : 6653 408 70 7 4 \n", + "6 : 6611 429 93 6 3 \n", + "7 : 6620 419 95 8 0 \n", + "8 : 6678 382 71 7 4 \n", + "9 : 6661 391 77 11 2 \n", + "10 : 6640 411 80 7 4 \n", + "11 : 6617 431 85 9 0 \n", + "12 : 6628 423 81 6 4 \n", + "13 : 6677 384 84 6 3 \n", "\n", - "T : 93008 5678 1180 89 45 [100000]\n", + "T : 92953 5715 1188 105 39 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.6%\n", + "--- Coef/DT = 0.7%\n", "--- Adj/Tot = 0.2%\n", - "--- Update = 1.1887e-02 sec\n", - "--- Collate = 7.3754e-05 sec\n", + "--- Update = 3.6622e-03 sec\n", + "--- Collate = 2.4327e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.854280e-06 < 6.250000e-03 [22]\n", - "--- Max DT=3.054748e-01 > 1.000000e-01 [70337]\n", + "--- Min DT=1.067203e-05 < 6.250000e-03 [17]\n", + "--- Max DT=3.054564e-01 > 1.000000e-01 [70328]\n", "----------------------------------------------------------------------\n", - " Component | low: 22/100000\n", - " Component | high: 70337/100000\n", + " Component | low: 17/100000\n", + " Component | high: 70328/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=9.2] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0010218 [ 0.81 %]\n", - "Velocity : 0.00198752 [ 1.57 %]\n", - "Force : 0.0466172 [ 36.73 %]\n", - "Coefs : 0.0177841 [ 14.01 %]\n", - "Output : 0.00129943 [ 1.02 %]\n", - "Levels : 0.000272029 [ 0.21 %]\n", - "Report : 9.37e-07 [ 0.00 %]\n", - "Balance : 3.66e-07 [ 0.00 %]\n", - "Adjust : 0.0578767 [ 45.60 %]\n", - "Total : 0.126909 [100.00 %]\n", + "Drift : 0.000334009 [ 0.81 %]\n", + "Velocity : 0.000741328 [ 1.81 %]\n", + "Force : 0.0149894 [ 36.57 %]\n", + "Coefs : 0.00626223 [ 15.28 %]\n", + "Output : 0.0005374 [ 1.31 %]\n", + "Levels : 0.000112996 [ 0.28 %]\n", + "Report : 2.08e-07 [ 0.00 %]\n", + "Balance : 1.57e-07 [ 0.00 %]\n", + "Adjust : 0.0179899 [ 43.89 %]\n", + "Total : 0.0409839 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6636 403 92 6 5 \n", - "1 : 6651 395 86 6 4 \n", - "2 : 6652 405 78 5 2 \n", - "3 : 6669 394 74 4 1 \n", - "4 : 6648 400 83 10 1 \n", - "5 : 6642 400 87 8 5 \n", - "6 : 6662 375 99 2 4 \n", - "7 : 6607 435 86 6 8 \n", - "8 : 6648 404 77 11 2 \n", - "9 : 6631 420 86 4 1 \n", - "10 : 6663 381 88 7 3 \n", - "11 : 6591 463 77 9 2 \n", - "12 : 6654 401 79 5 3 \n", - "13 : 6652 404 88 7 3 \n", + "0 : 6642 408 83 7 2 \n", + "1 : 6666 388 78 6 4 \n", + "2 : 6605 421 105 6 5 \n", + "3 : 6655 396 82 6 3 \n", + "4 : 6603 421 102 12 4 \n", + "5 : 6653 408 70 6 5 \n", + "6 : 6607 432 95 5 3 \n", + "7 : 6620 418 97 7 0 \n", + "8 : 6677 385 71 5 4 \n", + "9 : 6661 390 76 13 2 \n", + "10 : 6638 413 81 7 3 \n", + "11 : 6619 430 84 8 1 \n", + "12 : 6628 423 81 6 4 \n", + "13 : 6679 383 84 4 4 \n", "\n", - "T : 93006 5680 1180 90 44 [100000]\n", + "T : 92953 5716 1189 98 44 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 0.9%\n", - "--- Adj/Tot = 0.1%\n", - "--- Update = 1.1114e-02 sec\n", - "--- Collate = 9.1073e-05 sec\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.6178e-03 sec\n", + "--- Collate = 2.6721e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.480268e-05 < 6.250000e-03 [21]\n", - "--- Max DT=3.054764e-01 > 1.000000e-01 [70339]\n", + "--- Min DT=5.927740e-05 < 6.250000e-03 [15]\n", + "--- Max DT=3.054604e-01 > 1.000000e-01 [70335]\n", "----------------------------------------------------------------------\n", - " Component | low: 21/100000\n", - " Component | high: 70339/100000\n", + " Component | low: 15/100000\n", + " Component | high: 70335/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=9.3] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00106981 [ 0.79 %]\n", - "Velocity : 0.00252168 [ 1.87 %]\n", - "Force : 0.0507262 [ 37.53 %]\n", - "Coefs : 0.0206054 [ 15.25 %]\n", - "Output : 0.0013128 [ 0.97 %]\n", - "Levels : 0.000251213 [ 0.19 %]\n", - "Report : 5.88e-07 [ 0.00 %]\n", - "Balance : 3.98e-07 [ 0.00 %]\n", - "Adjust : 0.0586132 [ 43.37 %]\n", - "Total : 0.135148 [100.00 %]\n", + "Drift : 0.000316865 [ 0.77 %]\n", + "Velocity : 0.000762485 [ 1.86 %]\n", + "Force : 0.0149474 [ 36.38 %]\n", + "Coefs : 0.00648941 [ 15.79 %]\n", + "Output : 0.000528092 [ 1.29 %]\n", + "Levels : 0.000109994 [ 0.27 %]\n", + "Report : 3.29e-07 [ 0.00 %]\n", + "Balance : 1.56e-07 [ 0.00 %]\n", + "Adjust : 0.0179179 [ 43.61 %]\n", + "Total : 0.0410888 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6639 400 92 7 4 \n", - "1 : 6652 394 86 6 4 \n", - "2 : 6651 408 78 3 2 \n", - "3 : 6668 395 73 3 3 \n", - "4 : 6648 399 84 9 2 \n", - "5 : 6642 400 88 7 5 \n", - "6 : 6662 374 100 2 4 \n", - "7 : 6604 439 84 7 8 \n", - "8 : 6645 408 76 11 2 \n", - "9 : 6632 416 87 7 0 \n", - "10 : 6661 383 89 6 3 \n", - "11 : 6591 465 76 8 2 \n", - "12 : 6654 400 80 6 2 \n", - "13 : 6650 404 90 7 3 \n", + "0 : 6642 409 82 7 2 \n", + "1 : 6666 388 77 6 5 \n", + "2 : 6604 423 105 4 6 \n", + "3 : 6654 397 81 6 4 \n", + "4 : 6603 420 103 14 2 \n", + "5 : 6651 410 68 9 4 \n", + "6 : 6607 432 94 7 2 \n", + "7 : 6619 419 95 7 2 \n", + "8 : 6678 383 72 5 4 \n", + "9 : 6661 391 75 12 3 \n", + "10 : 6640 411 81 8 2 \n", + "11 : 6619 430 83 9 1 \n", + "12 : 6628 424 81 7 2 \n", + "13 : 6679 384 83 4 4 \n", "\n", - "T : 92999 5685 1183 89 44 [100000]\n", + "T : 92951 5721 1180 105 43 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 0.7%\n", - "--- Adj/Tot = 0.1%\n", - "--- Update = 1.1599e-02 sec\n", - "--- Collate = 7.2650e-05 sec\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.5853e-03 sec\n", + "--- Collate = 2.2637e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.390850e-04 < 6.250000e-03 [20]\n", - "--- Max DT=3.054776e-01 > 1.000000e-01 [70348]\n", + "--- Min DT=7.404891e-04 < 6.250000e-03 [15]\n", + "--- Max DT=3.054649e-01 > 1.000000e-01 [70333]\n", "----------------------------------------------------------------------\n", - " Component | low: 20/100000\n", - " Component | high: 70348/100000\n", + " Component | low: 15/100000\n", + " Component | high: 70333/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=9.4] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0007341 [ 0.54 %]\n", - "Velocity : 0.00208813 [ 1.52 %]\n", - "Force : 0.0503506 [ 36.75 %]\n", - "Coefs : 0.0202486 [ 14.78 %]\n", - "Output : 0.00139131 [ 1.02 %]\n", - "Levels : 0.000257284 [ 0.19 %]\n", - "Report : 6.66e-07 [ 0.00 %]\n", - "Balance : 3.74e-07 [ 0.00 %]\n", - "Adjust : 0.0619041 [ 45.18 %]\n", - "Total : 0.137024 [100.00 %]\n", + "Drift : 0.000326754 [ 0.80 %]\n", + "Velocity : 0.000767938 [ 1.87 %]\n", + "Force : 0.0150061 [ 36.58 %]\n", + "Coefs : 0.00636976 [ 15.53 %]\n", + "Output : 0.000525956 [ 1.28 %]\n", + "Levels : 0.000119075 [ 0.29 %]\n", + "Report : 2.44e-07 [ 0.00 %]\n", + "Balance : 1.5e-07 [ 0.00 %]\n", + "Adjust : 0.0178956 [ 43.62 %]\n", + "Total : 0.0410273 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6641 399 91 7 4 \n", - "1 : 6651 395 86 6 4 \n", - "2 : 6654 405 77 4 2 \n", - "3 : 6668 392 76 3 3 \n", - "4 : 6650 396 85 9 2 \n", - "5 : 6641 402 86 9 4 \n", - "6 : 6663 372 101 2 4 \n", - "7 : 6605 439 84 6 8 \n", - "8 : 6647 406 75 12 2 \n", - "9 : 6631 420 85 5 1 \n", - "10 : 6664 379 89 7 3 \n", - "11 : 6590 466 76 9 1 \n", - "12 : 6655 399 80 5 3 \n", - "13 : 6651 402 91 8 2 \n", + "0 : 6642 409 82 7 2 \n", + "1 : 6666 389 77 6 4 \n", + "2 : 6604 423 105 6 4 \n", + "3 : 6653 398 82 5 4 \n", + "4 : 6602 422 104 11 3 \n", + "5 : 6650 411 67 10 4 \n", + "6 : 6607 432 93 9 1 \n", + "7 : 6619 419 96 6 2 \n", + "8 : 6676 384 73 5 4 \n", + "9 : 6660 392 75 12 3 \n", + "10 : 6638 412 81 9 2 \n", + "11 : 6618 431 83 9 1 \n", + "12 : 6628 424 82 6 2 \n", + "13 : 6678 385 81 8 2 \n", "\n", - "T : 93011 5672 1182 92 43 [100000]\n", + "T : 92941 5731 1181 109 38 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.0%\n", + "--- Coef/DT = 0.7%\n", "--- Adj/Tot = 0.2%\n", - "--- Update = 1.0058e-02 sec\n", - "--- Collate = 5.9916e-05 sec\n", + "--- Update = 3.6039e-03 sec\n", + "--- Collate = 2.5625e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.331158e-04 < 6.250000e-03 [20]\n", - "--- Max DT=3.054792e-01 > 1.000000e-01 [70357]\n", + "--- Min DT=1.195173e-04 < 6.250000e-03 [17]\n", + "--- Max DT=3.054695e-01 > 1.000000e-01 [70339]\n", "----------------------------------------------------------------------\n", - " Component | low: 20/100000\n", - " Component | high: 70357/100000\n", + " Component | low: 17/100000\n", + " Component | high: 70339/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=9.5] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00101883 [ 0.69 %]\n", - "Velocity : 0.00251426 [ 1.71 %]\n", - "Force : 0.0569862 [ 38.73 %]\n", - "Coefs : 0.0192338 [ 13.07 %]\n", - "Output : 0.00121126 [ 0.82 %]\n", - "Levels : 0.0002375 [ 0.16 %]\n", - "Report : 4.78e-07 [ 0.00 %]\n", - "Balance : 6.49e-07 [ 0.00 %]\n", - "Adjust : 0.0658698 [ 44.77 %]\n", - "Total : 0.147118 [100.00 %]\n", + "Drift : 0.000323766 [ 0.79 %]\n", + "Velocity : 0.000739552 [ 1.79 %]\n", + "Force : 0.0150484 [ 36.52 %]\n", + "Coefs : 0.00647536 [ 15.71 %]\n", + "Output : 0.000524753 [ 1.27 %]\n", + "Levels : 0.000127791 [ 0.31 %]\n", + "Report : 2.03e-07 [ 0.00 %]\n", + "Balance : 1.67e-07 [ 0.00 %]\n", + "Adjust : 0.017953 [ 43.57 %]\n", + "Total : 0.0412085 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6638 402 91 7 4 \n", - "1 : 6653 392 86 7 4 \n", - "2 : 6653 407 77 3 2 \n", - "3 : 6669 391 75 5 2 \n", - "4 : 6650 397 83 11 1 \n", - "5 : 6640 401 88 8 5 \n", - "6 : 6659 375 102 4 2 \n", - "7 : 6605 439 84 8 6 \n", - "8 : 6649 404 75 11 3 \n", - "9 : 6631 420 86 4 1 \n", - "10 : 6663 380 89 7 3 \n", - "11 : 6593 463 78 7 1 \n", - "12 : 6655 398 81 5 3 \n", - "13 : 6649 404 91 9 1 \n", + "0 : 6644 406 83 7 2 \n", + "1 : 6665 390 77 7 3 \n", + "2 : 6606 421 105 7 3 \n", + "3 : 6656 395 82 5 4 \n", + "4 : 6600 425 104 9 4 \n", + "5 : 6649 411 68 11 3 \n", + "6 : 6603 437 92 9 1 \n", + "7 : 6618 420 95 7 2 \n", + "8 : 6677 383 73 6 3 \n", + "9 : 6660 391 76 12 3 \n", + "10 : 6638 412 82 7 3 \n", + "11 : 6617 432 84 8 1 \n", + "12 : 6626 426 81 8 1 \n", + "13 : 6678 386 80 7 3 \n", "\n", - "T : 93007 5673 1186 96 38 [100000]\n", + "T : 92937 5735 1182 110 36 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 0.7%\n", "--- Adj/Tot = 0.2%\n", - "--- Update = 1.1334e-02 sec\n", - "--- Collate = 7.3189e-05 sec\n", + "--- Update = 3.5583e-03 sec\n", + "--- Collate = 2.4560e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.870951e-05 < 6.250000e-03 [19]\n", - "--- Max DT=3.054806e-01 > 1.000000e-01 [70356]\n", + "--- Min DT=2.562948e-04 < 6.250000e-03 [20]\n", + "--- Max DT=3.054740e-01 > 1.000000e-01 [70341]\n", "----------------------------------------------------------------------\n", - " Component | low: 19/100000\n", - " Component | high: 70356/100000\n", + " Component | low: 20/100000\n", + " Component | high: 70341/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=9.6] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000936749 [ 0.72 %]\n", - "Velocity : 0.00220959 [ 1.69 %]\n", - "Force : 0.0494643 [ 37.89 %]\n", - "Coefs : 0.0172101 [ 13.18 %]\n", - "Output : 0.00125734 [ 0.96 %]\n", - "Levels : 0.000261381 [ 0.20 %]\n", - "Report : 6.72e-07 [ 0.00 %]\n", - "Balance : 3.39e-07 [ 0.00 %]\n", - "Adjust : 0.0591638 [ 45.32 %]\n", - "Total : 0.130548 [100.00 %]\n", + "Drift : 0.000320979 [ 0.77 %]\n", + "Velocity : 0.000752904 [ 1.82 %]\n", + "Force : 0.0151598 [ 36.59 %]\n", + "Coefs : 0.00635254 [ 15.33 %]\n", + "Output : 0.000549368 [ 1.33 %]\n", + "Levels : 0.000139301 [ 0.34 %]\n", + "Report : 1.97e-07 [ 0.00 %]\n", + "Balance : 1.64e-07 [ 0.00 %]\n", + "Adjust : 0.018135 [ 43.78 %]\n", + "Total : 0.0414276 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6636 405 91 7 3 \n", - "1 : 6655 390 85 8 4 \n", - "2 : 6655 405 77 4 1 \n", - "3 : 6669 391 75 5 2 \n", - "4 : 6650 396 84 11 1 \n", - "5 : 6640 400 88 7 7 \n", - "6 : 6659 374 104 3 2 \n", - "7 : 6607 437 83 8 7 \n", - "8 : 6651 402 76 10 3 \n", - "9 : 6631 420 87 2 2 \n", - "10 : 6664 380 88 7 3 \n", - "11 : 6593 463 79 6 1 \n", - "12 : 6656 396 81 5 4 \n", - "13 : 6652 401 91 10 0 \n", + "0 : 6642 409 82 7 2 \n", + "1 : 6663 392 78 6 3 \n", + "2 : 6607 420 104 8 3 \n", + "3 : 6657 392 84 5 4 \n", + "4 : 6599 426 106 7 4 \n", + "5 : 6649 411 68 10 4 \n", + "6 : 6602 437 91 10 2 \n", + "7 : 6617 420 95 8 2 \n", + "8 : 6677 383 73 6 3 \n", + "9 : 6658 394 75 12 3 \n", + "10 : 6637 412 82 8 3 \n", + "11 : 6616 433 83 9 1 \n", + "12 : 6625 428 79 10 0 \n", + "13 : 6677 387 80 7 3 \n", "\n", - "T : 93018 5660 1189 93 40 [100000]\n", + "T : 92926 5744 1180 113 37 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.7%\n", - "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0847e-02 sec\n", - "--- Collate = 6.3116e-05 sec\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.5767e-03 sec\n", + "--- Collate = 2.5455e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.015899e-04 < 6.250000e-03 [23]\n", - "--- Max DT=3.054825e-01 > 1.000000e-01 [70362]\n", + "--- Min DT=6.242077e-06 < 6.250000e-03 [20]\n", + "--- Max DT=3.054785e-01 > 1.000000e-01 [70339]\n", "----------------------------------------------------------------------\n", - " Component | low: 23/100000\n", - " Component | high: 70362/100000\n", + " Component | low: 20/100000\n", + " Component | high: 70339/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=9.7] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000710571 [ 0.52 %]\n", - "Velocity : 0.0025708 [ 1.89 %]\n", - "Force : 0.050968 [ 37.49 %]\n", - "Coefs : 0.0194361 [ 14.30 %]\n", - "Output : 0.00134643 [ 0.99 %]\n", - "Levels : 0.000245005 [ 0.18 %]\n", - "Report : 5.99e-07 [ 0.00 %]\n", - "Balance : 3.82e-07 [ 0.00 %]\n", - "Adjust : 0.0606198 [ 44.59 %]\n", - "Total : 0.135945 [100.00 %]\n", + "Drift : 0.000321026 [ 0.77 %]\n", + "Velocity : 0.000761554 [ 1.82 %]\n", + "Force : 0.0154385 [ 36.91 %]\n", + "Coefs : 0.00655917 [ 15.68 %]\n", + "Output : 0.000579015 [ 1.38 %]\n", + "Levels : 0.000133358 [ 0.32 %]\n", + "Report : 4.06e-07 [ 0.00 %]\n", + "Balance : 1.48e-07 [ 0.00 %]\n", + "Adjust : 0.0180215 [ 43.08 %]\n", + "Total : 0.0418316 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6637 404 92 6 3 \n", - "1 : 6654 391 86 8 3 \n", - "2 : 6656 405 75 5 1 \n", - "3 : 6668 393 74 5 2 \n", - "4 : 6651 395 84 10 2 \n", - "5 : 6640 399 89 7 7 \n", - "6 : 6656 377 104 2 3 \n", - "7 : 6608 436 82 11 5 \n", - "8 : 6647 404 77 10 4 \n", - "9 : 6635 416 86 3 2 \n", - "10 : 6663 380 89 6 4 \n", - "11 : 6592 463 81 5 1 \n", - "12 : 6653 398 82 4 5 \n", - "13 : 6651 402 91 10 0 \n", + "0 : 6638 411 84 7 2 \n", + "1 : 6664 391 77 7 3 \n", + "2 : 6606 422 103 9 2 \n", + "3 : 6658 392 83 5 4 \n", + "4 : 6596 429 105 8 4 \n", + "5 : 6646 414 68 11 3 \n", + "6 : 6602 436 92 11 1 \n", + "7 : 6615 421 96 7 3 \n", + "8 : 6676 384 73 7 2 \n", + "9 : 6659 392 77 11 3 \n", + "10 : 6637 412 83 7 3 \n", + "11 : 6619 430 84 8 1 \n", + "12 : 6624 428 81 6 3 \n", + "13 : 6678 385 81 7 3 \n", "\n", - "T : 93011 5663 1192 92 42 [100000]\n", + "T : 92918 5747 1187 111 37 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.0%\n", - "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0426e-02 sec\n", - "--- Collate = 8.1931e-05 sec\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.6261e-03 sec\n", + "--- Collate = 2.6232e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.263668e-04 < 6.250000e-03 [23]\n", - "--- Max DT=3.054840e-01 > 1.000000e-01 [70366]\n", + "--- Min DT=1.156223e-05 < 6.250000e-03 [19]\n", + "--- Max DT=3.054827e-01 > 1.000000e-01 [70331]\n", "----------------------------------------------------------------------\n", - " Component | low: 23/100000\n", - " Component | high: 70366/100000\n", + " Component | low: 19/100000\n", + " Component | high: 70331/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=9.8] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000957209 [ 0.73 %]\n", - "Velocity : 0.00253042 [ 1.93 %]\n", - "Force : 0.0497988 [ 38.06 %]\n", - "Coefs : 0.0193028 [ 14.75 %]\n", - "Output : 0.00131563 [ 1.01 %]\n", - "Levels : 0.000199799 [ 0.15 %]\n", - "Report : 4.94e-07 [ 0.00 %]\n", - "Balance : 3.17e-07 [ 0.00 %]\n", - "Adjust : 0.0567037 [ 43.33 %]\n", - "Total : 0.130857 [100.00 %]\n", + "Drift : 0.0003208 [ 0.76 %]\n", + "Velocity : 0.000735089 [ 1.75 %]\n", + "Force : 0.0154707 [ 36.86 %]\n", + "Coefs : 0.00658106 [ 15.68 %]\n", + "Output : 0.000551258 [ 1.31 %]\n", + "Levels : 0.000122701 [ 0.29 %]\n", + "Report : 1.83e-07 [ 0.00 %]\n", + "Balance : 1.64e-07 [ 0.00 %]\n", + "Adjust : 0.0181738 [ 43.30 %]\n", + "Total : 0.0419723 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6637 404 92 6 3 \n", - "1 : 6652 392 87 8 3 \n", - "2 : 6658 403 75 5 1 \n", - "3 : 6665 396 74 5 2 \n", - "4 : 6650 396 83 11 2 \n", - "5 : 6640 399 88 9 6 \n", - "6 : 6656 378 103 1 4 \n", - "7 : 6609 433 86 9 5 \n", - "8 : 6646 404 78 11 3 \n", - "9 : 6636 415 86 3 2 \n", - "10 : 6659 383 90 5 5 \n", - "11 : 6591 464 82 3 2 \n", - "12 : 6653 399 81 3 6 \n", - "13 : 6652 401 92 8 1 \n", + "0 : 6637 414 83 7 1 \n", + "1 : 6666 390 75 7 4 \n", + "2 : 6605 423 102 10 2 \n", + "3 : 6658 393 83 4 4 \n", + "4 : 6596 429 104 9 4 \n", + "5 : 6646 415 67 12 2 \n", + "6 : 6601 437 93 10 1 \n", + "7 : 6611 425 95 8 3 \n", + "8 : 6678 384 71 8 1 \n", + "9 : 6658 393 80 6 5 \n", + "10 : 6638 411 83 7 3 \n", + "11 : 6619 431 82 8 2 \n", + "12 : 6627 426 80 6 3 \n", + "13 : 6678 386 81 5 4 \n", "\n", - "T : 93004 5667 1197 87 45 [100000]\n", + "T : 92918 5757 1179 107 39 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.8%\n", + "--- Coef/DT = 0.9%\n", "--- Adj/Tot = 0.2%\n", - "--- Update = 1.0001e-02 sec\n", - "--- Collate = 6.6708e-05 sec\n", + "--- Update = 3.6623e-03 sec\n", + "--- Collate = 2.9337e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.978489e-04 < 6.250000e-03 [21]\n", - "--- Max DT=3.054861e-01 > 1.000000e-01 [70366]\n", + "--- Min DT=3.074530e-04 < 6.250000e-03 [19]\n", + "--- Max DT=3.054873e-01 > 1.000000e-01 [70335]\n", "----------------------------------------------------------------------\n", - " Component | low: 21/100000\n", - " Component | high: 70366/100000\n", + " Component | low: 19/100000\n", + " Component | high: 70335/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=9.9] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000938174 [ 0.75 %]\n", - "Velocity : 0.00235093 [ 1.87 %]\n", - "Force : 0.0463346 [ 36.83 %]\n", - "Coefs : 0.0171437 [ 13.63 %]\n", - "Output : 0.00131321 [ 1.04 %]\n", - "Levels : 0.000268345 [ 0.21 %]\n", - "Report : 9.11e-07 [ 0.00 %]\n", - "Balance : 2.98e-07 [ 0.00 %]\n", - "Adjust : 0.0574195 [ 45.64 %]\n", - "Total : 0.125815 [100.00 %]\n", + "Drift : 0.000334438 [ 0.80 %]\n", + "Velocity : 0.000758151 [ 1.81 %]\n", + "Force : 0.015526 [ 37.04 %]\n", + "Coefs : 0.0065622 [ 15.66 %]\n", + "Output : 0.000557757 [ 1.33 %]\n", + "Levels : 0.000137949 [ 0.33 %]\n", + "Report : 2.54e-07 [ 0.00 %]\n", + "Balance : 1.47e-07 [ 0.00 %]\n", + "Adjust : 0.0180226 [ 43.00 %]\n", + "Total : 0.0419167 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6636 405 92 5 4 \n", - "1 : 6650 396 86 6 4 \n", - "2 : 6662 397 77 5 1 \n", - "3 : 6665 396 73 6 2 \n", - "4 : 6651 395 83 11 2 \n", - "5 : 6641 399 87 11 4 \n", - "6 : 6654 381 101 3 3 \n", - "7 : 6608 435 84 9 6 \n", - "8 : 6645 406 77 11 3 \n", - "9 : 6635 417 84 4 2 \n", - "10 : 6658 385 89 5 5 \n", - "11 : 6590 466 80 5 1 \n", - "12 : 6656 395 82 3 6 \n", - "13 : 6655 398 93 7 1 \n", + "0 : 6636 414 85 6 1 \n", + "1 : 6665 391 74 7 5 \n", + "2 : 6602 428 101 10 1 \n", + "3 : 6657 394 83 6 2 \n", + "4 : 6596 428 105 9 4 \n", + "5 : 6645 416 67 12 2 \n", + "6 : 6603 436 92 10 1 \n", + "7 : 6608 427 97 7 3 \n", + "8 : 6677 385 71 7 2 \n", + "9 : 6660 391 80 8 3 \n", + "10 : 6639 411 82 6 4 \n", + "11 : 6620 430 83 7 2 \n", + "12 : 6625 428 79 7 3 \n", + "13 : 6679 386 80 5 4 \n", "\n", - "T : 93006 5671 1188 91 44 [100000]\n", + "T : 92912 5765 1179 107 37 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.9%\n", + "--- Coef/DT = 0.7%\n", "--- Adj/Tot = 0.2%\n", - "--- Update = 1.1377e-02 sec\n", - "--- Collate = 8.9529e-05 sec\n", + "--- Update = 3.6230e-03 sec\n", + "--- Collate = 2.1324e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.847196e-05 < 6.250000e-03 [26]\n", - "--- Max DT=3.054883e-01 > 1.000000e-01 [70369]\n", + "--- Min DT=1.922210e-05 < 6.250000e-03 [20]\n", + "--- Max DT=3.054919e-01 > 1.000000e-01 [70339]\n", "----------------------------------------------------------------------\n", - " Component | low: 26/100000\n", - " Component | high: 70369/100000\n", + " Component | low: 20/100000\n", + " Component | high: 70339/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=10] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000920046 [ 0.70 %]\n", - "Velocity : 0.00263661 [ 2.00 %]\n", - "Force : 0.0461134 [ 34.93 %]\n", - "Coefs : 0.0174813 [ 13.24 %]\n", - "Output : 0.00786687 [ 5.96 %]\n", - "Levels : 0.000259825 [ 0.20 %]\n", - "Report : 1.423e-06 [ 0.00 %]\n", - "Balance : 8.67e-07 [ 0.00 %]\n", - "Adjust : 0.0566995 [ 42.94 %]\n", - "Total : 0.132031 [100.00 %]\n", + "Drift : 0.000335822 [ 0.76 %]\n", + "Velocity : 0.000752977 [ 1.70 %]\n", + "Force : 0.0156459 [ 35.34 %]\n", + "Coefs : 0.00656253 [ 14.82 %]\n", + "Output : 0.00273173 [ 6.17 %]\n", + "Levels : 0.000117003 [ 0.26 %]\n", + "Report : 3.56e-07 [ 0.00 %]\n", + "Balance : 2.27e-07 [ 0.00 %]\n", + "Adjust : 0.018112 [ 40.91 %]\n", + "Total : 0.0442755 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6636 405 92 5 4 \n", - "1 : 6649 398 84 7 4 \n", - "2 : 6663 396 76 5 2 \n", - "3 : 6665 398 72 4 3 \n", - "4 : 6653 395 82 9 3 \n", - "5 : 6638 402 88 9 5 \n", - "6 : 6656 381 99 2 4 \n", - "7 : 6609 432 85 10 6 \n", - "8 : 6647 404 77 11 3 \n", - "9 : 6634 418 84 4 2 \n", - "10 : 6660 379 93 5 5 \n", - "11 : 6591 465 80 4 2 \n", - "12 : 6655 394 84 6 3 \n", - "13 : 6655 397 93 8 1 \n", + "0 : 6636 414 85 5 2 \n", + "1 : 6665 390 76 7 4 \n", + "2 : 6605 425 102 8 2 \n", + "3 : 6660 392 81 8 1 \n", + "4 : 6599 426 105 7 5 \n", + "5 : 6647 415 66 10 4 \n", + "6 : 6603 435 93 10 1 \n", + "7 : 6610 425 99 5 3 \n", + "8 : 6677 385 72 6 2 \n", + "9 : 6661 390 79 10 2 \n", + "10 : 6639 412 81 8 2 \n", + "11 : 6618 432 82 7 3 \n", + "12 : 6624 427 81 5 5 \n", + "13 : 6681 384 80 5 4 \n", "\n", - "T : 93011 5664 1189 89 47 [100000]\n", + "T : 92925 5752 1182 101 40 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.7%\n", + "--- Coef/DT = 0.9%\n", "--- Adj/Tot = 0.2%\n", - "--- Update = 4.0273e-02 sec\n", - "--- Collate = 1.0474e-03 sec\n", + "--- Update = 3.6280e-03 sec\n", + "--- Collate = 2.6315e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.562240e-04 < 6.250000e-03 [27]\n", - "--- Max DT=3.054907e-01 > 1.000000e-01 [70361]\n", + "--- Min DT=4.990563e-06 < 6.250000e-03 [18]\n", + "--- Max DT=3.054967e-01 > 1.000000e-01 [70340]\n", "----------------------------------------------------------------------\n", - " Component | low: 27/100000\n", - " Component | high: 70361/100000\n", + " Component | low: 18/100000\n", + " Component | high: 70340/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=10.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00107029 [ 0.33 %]\n", - "Velocity : 0.00305779 [ 0.93 %]\n", - "Force : 0.112065 [ 34.18 %]\n", - "Coefs : 0.0352165 [ 10.74 %]\n", - "Output : 0.00140331 [ 0.43 %]\n", - "Levels : 0.000577514 [ 0.18 %]\n", - "Report : 1.011e-06 [ 0.00 %]\n", - "Balance : 4.13e-07 [ 0.00 %]\n", - "Adjust : 0.174394 [ 53.20 %]\n", - "Total : 0.327837 [100.00 %]\n", + "Drift : 0.000311618 [ 0.73 %]\n", + "Velocity : 0.00073681 [ 1.73 %]\n", + "Force : 0.0157979 [ 37.18 %]\n", + "Coefs : 0.00663973 [ 15.63 %]\n", + "Output : 0.000586821 [ 1.38 %]\n", + "Levels : 0.00011558 [ 0.27 %]\n", + "Report : 2.76e-07 [ 0.00 %]\n", + "Balance : 1.72e-07 [ 0.00 %]\n", + "Adjust : 0.0182878 [ 43.04 %]\n", + "Total : 0.0424941 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6634 407 92 4 5 \n", - "1 : 6653 394 86 4 5 \n", - "2 : 6663 396 75 6 2 \n", - "3 : 6667 395 73 4 3 \n", - "4 : 6653 394 82 10 3 \n", - "5 : 6636 404 86 10 6 \n", - "6 : 6655 383 98 1 5 \n", - "7 : 6608 434 85 7 8 \n", - "8 : 6648 403 79 9 3 \n", - "9 : 6634 419 84 3 2 \n", - "10 : 6660 379 92 6 5 \n", - "11 : 6590 466 80 3 3 \n", - "12 : 6654 396 83 4 5 \n", - "13 : 6655 395 95 8 1 \n", + "0 : 6633 417 84 6 2 \n", + "1 : 6663 392 76 7 4 \n", + "2 : 6607 421 102 10 2 \n", + "3 : 6661 391 82 8 0 \n", + "4 : 6599 427 102 8 6 \n", + "5 : 6647 414 68 9 4 \n", + "6 : 6600 437 94 9 2 \n", + "7 : 6611 424 99 5 3 \n", + "8 : 6675 388 70 7 2 \n", + "9 : 6664 387 79 9 3 \n", + "10 : 6640 411 80 9 2 \n", + "11 : 6616 434 82 8 2 \n", + "12 : 6624 426 82 5 5 \n", + "13 : 6680 384 81 5 4 \n", "\n", - "T : 93010 5665 1190 79 56 [100000]\n", + "T : 92920 5753 1181 105 41 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 0.7%\n", - "--- Adj/Tot = 0.1%\n", - "--- Update = 1.0347e-02 sec\n", - "--- Collate = 1.5522e-04 sec\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.6270e-03 sec\n", + "--- Collate = 2.7818e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.996687e-05 < 6.250000e-03 [29]\n", - "--- Max DT=3.054933e-01 > 1.000000e-01 [70372]\n", + "--- Min DT=1.121016e-04 < 6.250000e-03 [24]\n", + "--- Max DT=3.055014e-01 > 1.000000e-01 [70360]\n", "----------------------------------------------------------------------\n", - " Component | low: 29/100000\n", - " Component | high: 70372/100000\n", + " Component | low: 24/100000\n", + " Component | high: 70360/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=10.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000564783 [ 0.31 %]\n", - "Velocity : 0.00240032 [ 1.30 %]\n", - "Force : 0.0675877 [ 36.63 %]\n", - "Coefs : 0.0297154 [ 16.10 %]\n", - "Output : 0.00129356 [ 0.70 %]\n", - "Levels : 0.000253068 [ 0.14 %]\n", - "Report : 5.64e-07 [ 0.00 %]\n", - "Balance : 3.63e-07 [ 0.00 %]\n", - "Adjust : 0.0826495 [ 44.79 %]\n", - "Total : 0.184514 [100.00 %]\n", + "Drift : 0.000320993 [ 0.76 %]\n", + "Velocity : 0.000758249 [ 1.80 %]\n", + "Force : 0.0156603 [ 37.13 %]\n", + "Coefs : 0.00658455 [ 15.61 %]\n", + "Output : 0.000581786 [ 1.38 %]\n", + "Levels : 0.000114064 [ 0.27 %]\n", + "Report : 2.33e-07 [ 0.00 %]\n", + "Balance : 1.69e-07 [ 0.00 %]\n", + "Adjust : 0.0181373 [ 43.01 %]\n", + "Total : 0.0421735 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6634 407 91 6 4 \n", - "1 : 6654 392 87 5 4 \n", - "2 : 6664 396 74 6 2 \n", - "3 : 6668 393 74 4 3 \n", - "4 : 6653 392 85 9 3 \n", - "5 : 6642 396 87 11 6 \n", - "6 : 6656 381 99 1 5 \n", - "7 : 6607 435 84 7 9 \n", - "8 : 6646 405 79 9 3 \n", - "9 : 6638 416 83 3 2 \n", - "10 : 6661 378 92 7 4 \n", - "11 : 6591 466 79 3 3 \n", - "12 : 6653 399 82 3 5 \n", - "13 : 6657 392 96 8 1 \n", + "0 : 6631 419 83 7 2 \n", + "1 : 6662 392 77 8 3 \n", + "2 : 6606 422 102 8 4 \n", + "3 : 6661 392 81 7 1 \n", + "4 : 6601 424 103 6 8 \n", + "5 : 6646 414 70 7 5 \n", + "6 : 6600 438 94 8 2 \n", + "7 : 6611 425 99 4 3 \n", + "8 : 6678 385 70 6 3 \n", + "9 : 6665 387 77 9 4 \n", + "10 : 6643 409 80 7 3 \n", + "11 : 6616 435 81 7 3 \n", + "12 : 6623 426 82 6 5 \n", + "13 : 6679 386 80 5 4 \n", "\n", - "T : 93024 5648 1192 82 54 [100000]\n", + "T : 92922 5754 1179 95 50 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.1%\n", + "--- Coef/DT = 0.9%\n", "--- Adj/Tot = 0.2%\n", - "--- Update = 1.0826e-02 sec\n", - "--- Collate = 7.8358e-05 sec\n", + "--- Update = 3.6084e-03 sec\n", + "--- Collate = 2.4441e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.106819e-04 < 6.250000e-03 [26]\n", - "--- Max DT=3.054957e-01 > 1.000000e-01 [70378]\n", + "--- Min DT=1.738437e-04 < 6.250000e-03 [24]\n", + "--- Max DT=3.055066e-01 > 1.000000e-01 [70355]\n", "----------------------------------------------------------------------\n", - " Component | low: 26/100000\n", - " Component | high: 70378/100000\n", + " Component | low: 24/100000\n", + " Component | high: 70355/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=10.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00142859 [ 0.96 %]\n", - "Velocity : 0.00280165 [ 1.89 %]\n", - "Force : 0.0498498 [ 33.59 %]\n", - "Coefs : 0.0203313 [ 13.70 %]\n", - "Output : 0.00139358 [ 0.94 %]\n", - "Levels : 0.000249871 [ 0.17 %]\n", - "Report : 7.24e-07 [ 0.00 %]\n", - "Balance : 4.23e-07 [ 0.00 %]\n", - "Adjust : 0.0722893 [ 48.71 %]\n", - "Total : 0.148397 [100.00 %]\n", + "Drift : 0.000323172 [ 0.77 %]\n", + "Velocity : 0.000771138 [ 1.83 %]\n", + "Force : 0.0155455 [ 36.99 %]\n", + "Coefs : 0.00659528 [ 15.69 %]\n", + "Output : 0.000583912 [ 1.39 %]\n", + "Levels : 0.000115023 [ 0.27 %]\n", + "Report : 1.92e-07 [ 0.00 %]\n", + "Balance : 1.67e-07 [ 0.00 %]\n", + "Adjust : 0.0180656 [ 42.99 %]\n", + "Total : 0.0420271 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6636 405 90 8 3 \n", - "1 : 6653 395 85 7 2 \n", - "2 : 6663 395 76 7 1 \n", - "3 : 6669 393 73 4 3 \n", - "4 : 6650 395 86 9 2 \n", - "5 : 6638 400 87 12 5 \n", - "6 : 6659 381 95 4 3 \n", - "7 : 6609 432 83 9 9 \n", - "8 : 6646 405 80 8 3 \n", - "9 : 6638 416 83 4 1 \n", - "10 : 6661 378 92 8 3 \n", - "11 : 6592 463 81 3 3 \n", - "12 : 6654 401 79 3 5 \n", - "13 : 6659 390 97 6 2 \n", + "0 : 6630 420 83 6 3 \n", + "1 : 6663 392 76 8 3 \n", + "2 : 6605 423 102 8 4 \n", + "3 : 6660 394 80 7 1 \n", + "4 : 6601 424 103 6 8 \n", + "5 : 6647 411 73 5 6 \n", + "6 : 6599 440 93 8 2 \n", + "7 : 6612 425 97 5 3 \n", + "8 : 6678 385 70 6 3 \n", + "9 : 6665 389 75 9 4 \n", + "10 : 6647 404 81 7 3 \n", + "11 : 6613 439 80 6 4 \n", + "12 : 6624 423 84 6 5 \n", + "13 : 6679 385 80 7 3 \n", "\n", - "T : 93027 5649 1187 92 45 [100000]\n", + "T : 92923 5754 1177 94 52 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.1%\n", + "--- Coef/DT = 0.7%\n", "--- Adj/Tot = 0.2%\n", - "--- Update = 1.1340e-02 sec\n", - "--- Collate = 7.2644e-05 sec\n", + "--- Update = 3.5914e-03 sec\n", + "--- Collate = 2.6618e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.672527e-05 < 6.250000e-03 [28]\n", - "--- Max DT=3.054981e-01 > 1.000000e-01 [70377]\n", + "--- Min DT=1.923807e-04 < 6.250000e-03 [25]\n", + "--- Max DT=3.055119e-01 > 1.000000e-01 [70342]\n", "----------------------------------------------------------------------\n", - " Component | low: 28/100000\n", - " Component | high: 70377/100000\n", + " Component | low: 25/100000\n", + " Component | high: 70342/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=10.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000539458 [ 0.38 %]\n", - "Velocity : 0.00268104 [ 1.90 %]\n", - "Force : 0.0521666 [ 37.00 %]\n", - "Coefs : 0.0206821 [ 14.67 %]\n", - "Output : 0.00133184 [ 0.94 %]\n", - "Levels : 0.000265441 [ 0.19 %]\n", - "Report : 5.12e-07 [ 0.00 %]\n", - "Balance : 3.03e-07 [ 0.00 %]\n", - "Adjust : 0.0632596 [ 44.87 %]\n", - "Total : 0.140977 [100.00 %]\n", + "Drift : 0.000322054 [ 0.76 %]\n", + "Velocity : 0.000764762 [ 1.81 %]\n", + "Force : 0.0155732 [ 36.94 %]\n", + "Coefs : 0.00658998 [ 15.63 %]\n", + "Output : 0.000573163 [ 1.36 %]\n", + "Levels : 0.000132003 [ 0.31 %]\n", + "Report : 2.18e-07 [ 0.00 %]\n", + "Balance : 1.7e-07 [ 0.00 %]\n", + "Adjust : 0.0181865 [ 43.14 %]\n", + "Total : 0.0421594 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6636 404 91 8 3 \n", - "1 : 6654 395 86 5 2 \n", - "2 : 6664 393 77 7 1 \n", - "3 : 6667 395 73 4 3 \n", - "4 : 6650 395 86 9 2 \n", - "5 : 6641 400 85 9 7 \n", - "6 : 6658 382 95 3 4 \n", - "7 : 6610 429 85 9 9 \n", - "8 : 6645 405 81 7 4 \n", - "9 : 6638 414 86 2 2 \n", - "10 : 6660 380 91 8 3 \n", - "11 : 6590 464 82 2 4 \n", - "12 : 6654 400 81 2 5 \n", - "13 : 6658 391 96 7 2 \n", + "0 : 6630 420 81 8 3 \n", + "1 : 6664 393 76 7 2 \n", + "2 : 6604 423 103 7 5 \n", + "3 : 6659 395 81 5 2 \n", + "4 : 6604 421 104 7 6 \n", + "5 : 6646 412 74 4 6 \n", + "6 : 6600 438 94 8 2 \n", + "7 : 6613 424 96 6 3 \n", + "8 : 6679 383 71 6 3 \n", + "9 : 6667 386 76 8 5 \n", + "10 : 6647 404 81 7 3 \n", + "11 : 6613 438 80 8 3 \n", + "12 : 6624 424 83 5 6 \n", + "13 : 6679 385 80 7 3 \n", "\n", - "T : 93025 5647 1195 82 51 [100000]\n", + "T : 92929 5746 1180 93 52 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 0.7%\n", - "--- Adj/Tot = 0.1%\n", - "--- Update = 1.1376e-02 sec\n", - "--- Collate = 9.2292e-05 sec\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.6267e-03 sec\n", + "--- Collate = 2.5593e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.524136e-04 < 6.250000e-03 [27]\n", - "--- Max DT=3.055010e-01 > 1.000000e-01 [70384]\n", + "--- Min DT=1.607042e-05 < 6.250000e-03 [25]\n", + "--- Max DT=3.055173e-01 > 1.000000e-01 [70340]\n", "----------------------------------------------------------------------\n", - " Component | low: 27/100000\n", - " Component | high: 70384/100000\n", + " Component | low: 25/100000\n", + " Component | high: 70340/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=10.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00109453 [ 0.78 %]\n", - "Velocity : 0.00257909 [ 1.84 %]\n", - "Force : 0.050795 [ 36.20 %]\n", - "Coefs : 0.0191633 [ 13.66 %]\n", - "Output : 0.00127453 [ 0.91 %]\n", - "Levels : 0.000250826 [ 0.18 %]\n", - "Report : 9.06e-07 [ 0.00 %]\n", - "Balance : 3.82e-07 [ 0.00 %]\n", - "Adjust : 0.0651057 [ 46.40 %]\n", - "Total : 0.140313 [100.00 %]\n", + "Drift : 0.000330268 [ 0.79 %]\n", + "Velocity : 0.000773065 [ 1.84 %]\n", + "Force : 0.0154003 [ 36.74 %]\n", + "Coefs : 0.00655395 [ 15.64 %]\n", + "Output : 0.00055264 [ 1.32 %]\n", + "Levels : 0.00011204 [ 0.27 %]\n", + "Report : 1.86e-07 [ 0.00 %]\n", + "Balance : 1.51e-07 [ 0.00 %]\n", + "Adjust : 0.0181751 [ 43.36 %]\n", + "Total : 0.041914 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6635 405 91 8 3 \n", - "1 : 6654 393 86 7 2 \n", - "2 : 6663 394 77 6 2 \n", - "3 : 6667 396 72 4 3 \n", - "4 : 6647 398 86 9 2 \n", - "5 : 6641 400 85 9 7 \n", - "6 : 6658 383 95 2 4 \n", - "7 : 6611 428 85 9 9 \n", - "8 : 6642 408 81 8 3 \n", - "9 : 6637 415 86 1 3 \n", - "10 : 6656 384 93 6 3 \n", - "11 : 6592 461 82 3 4 \n", - "12 : 6651 404 80 3 4 \n", - "13 : 6661 388 96 7 2 \n", + "0 : 6628 422 81 8 3 \n", + "1 : 6661 396 75 7 3 \n", + "2 : 6604 423 103 5 7 \n", + "3 : 6660 394 82 3 3 \n", + "4 : 6603 422 102 10 5 \n", + "5 : 6646 412 74 5 5 \n", + "6 : 6599 439 95 7 2 \n", + "7 : 6615 424 94 5 4 \n", + "8 : 6678 384 71 6 3 \n", + "9 : 6664 391 74 7 6 \n", + "10 : 6648 403 82 7 2 \n", + "11 : 6612 437 84 6 3 \n", + "12 : 6623 425 83 5 6 \n", + "13 : 6675 390 81 6 2 \n", "\n", - "T : 93015 5657 1195 82 51 [100000]\n", + "T : 92916 5762 1181 87 54 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.2%\n", + "--- Coef/DT = 0.8%\n", "--- Adj/Tot = 0.2%\n", - "--- Update = 1.0260e-02 sec\n", - "--- Collate = 6.7852e-05 sec\n", + "--- Update = 3.6004e-03 sec\n", + "--- Collate = 2.4040e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.413970e-05 < 6.250000e-03 [25]\n", - "--- Max DT=3.055036e-01 > 1.000000e-01 [70389]\n", + "--- Min DT=2.883929e-05 < 6.250000e-03 [27]\n", + "--- Max DT=3.055228e-01 > 1.000000e-01 [70341]\n", "----------------------------------------------------------------------\n", - " Component | low: 25/100000\n", - " Component | high: 70389/100000\n", + " Component | low: 27/100000\n", + " Component | high: 70341/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=10.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00117698 [ 0.91 %]\n", - "Velocity : 0.00287586 [ 2.22 %]\n", - "Force : 0.0465739 [ 35.89 %]\n", - "Coefs : 0.0169262 [ 13.04 %]\n", - "Output : 0.00142643 [ 1.10 %]\n", - "Levels : 0.000259485 [ 0.20 %]\n", - "Report : 5.59e-07 [ 0.00 %]\n", - "Balance : 3.21e-07 [ 0.00 %]\n", - "Adjust : 0.0604872 [ 46.61 %]\n", - "Total : 0.129771 [100.00 %]\n", + "Drift : 0.000325561 [ 0.78 %]\n", + "Velocity : 0.000753708 [ 1.81 %]\n", + "Force : 0.0152459 [ 36.59 %]\n", + "Coefs : 0.00660772 [ 15.86 %]\n", + "Output : 0.00055549 [ 1.33 %]\n", + "Levels : 0.000112963 [ 0.27 %]\n", + "Report : 1.81e-07 [ 0.00 %]\n", + "Balance : 1.69e-07 [ 0.00 %]\n", + "Adjust : 0.0180444 [ 43.31 %]\n", + "Total : 0.041662 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6634 406 91 8 3 \n", - "1 : 6653 394 85 7 3 \n", - "2 : 6662 395 77 5 3 \n", - "3 : 6666 397 72 5 2 \n", - "4 : 6647 399 85 9 2 \n", - "5 : 6640 401 87 7 7 \n", - "6 : 6657 384 95 2 4 \n", - "7 : 6609 430 84 10 9 \n", - "8 : 6641 408 82 8 3 \n", - "9 : 6637 414 86 3 2 \n", - "10 : 6658 382 93 5 4 \n", - "11 : 6593 460 81 4 4 \n", - "12 : 6652 403 80 2 5 \n", - "13 : 6660 387 98 7 2 \n", + "0 : 6629 423 80 7 3 \n", + "1 : 6661 398 73 5 5 \n", + "2 : 6604 423 103 5 7 \n", + "3 : 6659 396 81 3 3 \n", + "4 : 6604 419 104 10 5 \n", + "5 : 6647 410 76 4 5 \n", + "6 : 6599 439 95 6 3 \n", + "7 : 6612 427 95 5 3 \n", + "8 : 6675 387 71 5 4 \n", + "9 : 6665 391 73 7 6 \n", + "10 : 6647 404 81 7 3 \n", + "11 : 6612 438 83 6 3 \n", + "12 : 6623 425 84 5 5 \n", + "13 : 6673 392 80 7 2 \n", "\n", - "T : 93009 5660 1196 82 53 [100000]\n", + "T : 92910 5772 1179 82 57 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 0.8%\n", "--- Adj/Tot = 0.2%\n", - "--- Update = 9.5669e-03 sec\n", - "--- Collate = 7.1488e-05 sec\n", + "--- Update = 3.6453e-03 sec\n", + "--- Collate = 2.3286e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.926368e-04 < 6.250000e-03 [20]\n", - "--- Max DT=3.055063e-01 > 1.000000e-01 [70377]\n", + "--- Min DT=8.688824e-06 < 6.250000e-03 [30]\n", + "--- Max DT=3.055286e-01 > 1.000000e-01 [70346]\n", "----------------------------------------------------------------------\n", - " Component | low: 20/100000\n", - " Component | high: 70377/100000\n", + " Component | low: 30/100000\n", + " Component | high: 70346/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=10.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00058784 [ 0.45 %]\n", - "Velocity : 0.00270937 [ 2.09 %]\n", - "Force : 0.0449379 [ 34.70 %]\n", - "Coefs : 0.0186706 [ 14.42 %]\n", - "Output : 0.00133753 [ 1.03 %]\n", - "Levels : 0.000263089 [ 0.20 %]\n", - "Report : 8.6e-07 [ 0.00 %]\n", - "Balance : 3.73e-07 [ 0.00 %]\n", - "Adjust : 0.0609602 [ 47.07 %]\n", - "Total : 0.129516 [100.00 %]\n", + "Drift : 0.000322668 [ 0.77 %]\n", + "Velocity : 0.000752372 [ 1.80 %]\n", + "Force : 0.0153639 [ 36.84 %]\n", + "Coefs : 0.00628045 [ 15.06 %]\n", + "Output : 0.000574533 [ 1.38 %]\n", + "Levels : 0.000113965 [ 0.27 %]\n", + "Report : 1.9e-07 [ 0.00 %]\n", + "Balance : 1.72e-07 [ 0.00 %]\n", + "Adjust : 0.0182774 [ 43.83 %]\n", + "Total : 0.0417019 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6631 410 90 7 4 \n", - "1 : 6652 396 83 10 1 \n", - "2 : 6661 395 78 5 3 \n", - "3 : 6667 395 71 7 2 \n", - "4 : 6648 398 84 11 1 \n", - "5 : 6640 402 87 7 6 \n", - "6 : 6658 382 95 2 5 \n", - "7 : 6610 428 85 11 8 \n", - "8 : 6640 408 82 11 1 \n", - "9 : 6636 415 86 3 2 \n", - "10 : 6658 381 94 5 4 \n", - "11 : 6593 460 80 6 3 \n", - "12 : 6655 400 80 3 4 \n", - "13 : 6663 384 97 8 2 \n", + "0 : 6628 424 80 6 4 \n", + "1 : 6660 398 74 5 5 \n", + "2 : 6604 423 103 5 7 \n", + "3 : 6660 394 81 3 4 \n", + "4 : 6605 418 104 10 5 \n", + "5 : 6645 412 76 5 4 \n", + "6 : 6598 440 94 7 3 \n", + "7 : 6613 425 95 6 3 \n", + "8 : 6676 386 71 6 3 \n", + "9 : 6662 393 74 7 6 \n", + "10 : 6648 403 81 6 4 \n", + "11 : 6613 436 85 6 2 \n", + "12 : 6622 426 84 5 5 \n", + "13 : 6672 393 80 6 3 \n", "\n", - "T : 93012 5654 1192 96 46 [100000]\n", + "T : 92906 5771 1182 83 58 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.8%\n", + "--- Coef/DT = 0.7%\n", "--- Adj/Tot = 0.2%\n", - "--- Update = 1.2050e-02 sec\n", - "--- Collate = 7.8137e-05 sec\n", + "--- Update = 3.6010e-03 sec\n", + "--- Collate = 2.5773e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.526789e-05 < 6.250000e-03 [18]\n", - "--- Max DT=3.055092e-01 > 1.000000e-01 [70369]\n", + "--- Min DT=5.553503e-05 < 6.250000e-03 [28]\n", + "--- Max DT=3.055344e-01 > 1.000000e-01 [70350]\n", "----------------------------------------------------------------------\n", - " Component | low: 18/100000\n", - " Component | high: 70369/100000\n", + " Component | low: 28/100000\n", + " Component | high: 70350/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=10.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00110786 [ 0.81 %]\n", - "Velocity : 0.00432775 [ 3.17 %]\n", - "Force : 0.0501544 [ 36.69 %]\n", - "Coefs : 0.0173891 [ 12.72 %]\n", - "Output : 0.00145224 [ 1.06 %]\n", - "Levels : 0.000309304 [ 0.23 %]\n", - "Report : 8.89e-07 [ 0.00 %]\n", - "Balance : 3.66e-07 [ 0.00 %]\n", - "Adjust : 0.0619162 [ 45.29 %]\n", - "Total : 0.136709 [100.00 %]\n", + "Drift : 0.000337037 [ 0.80 %]\n", + "Velocity : 0.000741612 [ 1.76 %]\n", + "Force : 0.0154535 [ 36.72 %]\n", + "Coefs : 0.00661075 [ 15.71 %]\n", + "Output : 0.000571153 [ 1.36 %]\n", + "Levels : 0.000133862 [ 0.32 %]\n", + "Report : 2.05e-07 [ 0.00 %]\n", + "Balance : 1.66e-07 [ 0.00 %]\n", + "Adjust : 0.0182144 [ 43.28 %]\n", + "Total : 0.0420808 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6635 405 91 9 2 \n", - "1 : 6652 394 85 9 2 \n", - "2 : 6663 393 79 4 3 \n", - "3 : 6668 394 71 7 2 \n", - "4 : 6646 399 85 11 1 \n", - "5 : 6638 404 87 8 5 \n", - "6 : 6659 381 95 4 3 \n", - "7 : 6611 427 83 14 7 \n", - "8 : 6642 407 81 10 2 \n", - "9 : 6637 414 85 4 2 \n", - "10 : 6658 380 93 6 5 \n", - "11 : 6596 457 80 5 4 \n", - "12 : 6654 399 83 3 3 \n", - "13 : 6664 383 97 9 1 \n", + "0 : 6628 423 81 6 4 \n", + "1 : 6661 399 74 3 5 \n", + "2 : 6604 423 103 6 6 \n", + "3 : 6658 397 80 3 4 \n", + "4 : 6605 418 106 8 5 \n", + "5 : 6646 411 75 8 2 \n", + "6 : 6598 440 94 7 3 \n", + "7 : 6611 428 95 5 3 \n", + "8 : 6675 386 72 6 3 \n", + "9 : 6661 394 73 8 6 \n", + "10 : 6649 401 80 8 4 \n", + "11 : 6611 438 85 6 2 \n", + "12 : 6623 424 85 6 4 \n", + "13 : 6671 395 79 6 3 \n", "\n", - "T : 93023 5637 1195 103 42 [100000]\n", + "T : 92901 5777 1182 86 54 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.1%\n", + "--- Coef/DT = 0.8%\n", "--- Adj/Tot = 0.2%\n", - "--- Update = 1.0842e-02 sec\n", - "--- Collate = 8.3874e-05 sec\n", + "--- Update = 3.6337e-03 sec\n", + "--- Collate = 2.3096e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.243439e-04 < 6.250000e-03 [25]\n", - "--- Max DT=3.055114e-01 > 1.000000e-01 [70365]\n", + "--- Min DT=5.574976e-05 < 6.250000e-03 [27]\n", + "--- Max DT=3.055404e-01 > 1.000000e-01 [70349]\n", "----------------------------------------------------------------------\n", - " Component | low: 25/100000\n", - " Component | high: 70365/100000\n", + " Component | low: 27/100000\n", + " Component | high: 70349/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=10.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00102533 [ 0.76 %]\n", - "Velocity : 0.00263866 [ 1.96 %]\n", - "Force : 0.0490818 [ 36.45 %]\n", - "Coefs : 0.018547 [ 13.77 %]\n", - "Output : 0.00138212 [ 1.03 %]\n", - "Levels : 0.000233579 [ 0.17 %]\n", - "Report : 8.61e-07 [ 0.00 %]\n", - "Balance : 3.34e-07 [ 0.00 %]\n", - "Adjust : 0.0616877 [ 45.81 %]\n", - "Total : 0.134647 [100.00 %]\n", + "Drift : 0.000322742 [ 0.77 %]\n", + "Velocity : 0.000749632 [ 1.79 %]\n", + "Force : 0.0154683 [ 36.92 %]\n", + "Coefs : 0.00655757 [ 15.65 %]\n", + "Output : 0.000572888 [ 1.37 %]\n", + "Levels : 0.000117064 [ 0.28 %]\n", + "Report : 1.85e-07 [ 0.00 %]\n", + "Balance : 1.61e-07 [ 0.00 %]\n", + "Adjust : 0.0180872 [ 43.17 %]\n", + "Total : 0.0418927 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6631 410 91 7 3 \n", - "1 : 6652 396 82 10 2 \n", - "2 : 6659 397 79 4 3 \n", - "3 : 6670 391 73 6 2 \n", - "4 : 6644 400 86 10 2 \n", - "5 : 6638 404 86 6 8 \n", - "6 : 6658 381 97 3 3 \n", - "7 : 6609 430 83 13 7 \n", - "8 : 6640 408 82 10 2 \n", - "9 : 6638 412 86 4 2 \n", - "10 : 6658 379 95 4 6 \n", - "11 : 6596 456 82 4 4 \n", - "12 : 6654 399 83 5 1 \n", - "13 : 6665 382 97 9 1 \n", + "0 : 6628 423 79 8 4 \n", + "1 : 6662 397 76 2 5 \n", + "2 : 6607 420 103 6 6 \n", + "3 : 6660 395 80 3 4 \n", + "4 : 6607 416 107 6 6 \n", + "5 : 6644 413 74 8 3 \n", + "6 : 6597 439 96 7 3 \n", + "7 : 6611 427 96 4 4 \n", + "8 : 6669 393 70 8 2 \n", + "9 : 6661 394 74 7 6 \n", + "10 : 6650 400 80 7 5 \n", + "11 : 6611 436 87 6 2 \n", + "12 : 6621 426 86 5 4 \n", + "13 : 6674 392 79 5 4 \n", "\n", - "T : 93012 5645 1202 95 46 [100000]\n", + "T : 92902 5771 1187 82 58 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.0%\n", + "--- Coef/DT = 0.7%\n", "--- Adj/Tot = 0.2%\n", - "--- Update = 1.1084e-02 sec\n", - "--- Collate = 7.9807e-05 sec\n", + "--- Update = 3.6426e-03 sec\n", + "--- Collate = 2.3174e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.805537e-04 < 6.250000e-03 [23]\n", - "--- Max DT=3.055133e-01 > 1.000000e-01 [70382]\n", + "--- Min DT=6.608770e-06 < 6.250000e-03 [27]\n", + "--- Max DT=3.055467e-01 > 1.000000e-01 [70350]\n", "----------------------------------------------------------------------\n", - " Component | low: 23/100000\n", - " Component | high: 70382/100000\n", + " Component | low: 27/100000\n", + " Component | high: 70350/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=11] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00102665 [ 0.69 %]\n", - "Velocity : 0.00274621 [ 1.85 %]\n", - "Force : 0.057885 [ 39.02 %]\n", - "Coefs : 0.0170114 [ 11.47 %]\n", - "Output : 0.00736378 [ 4.96 %]\n", - "Levels : 0.000296382 [ 0.20 %]\n", - "Report : 1.481e-06 [ 0.00 %]\n", - "Balance : 7.92e-07 [ 0.00 %]\n", - "Adjust : 0.061988 [ 41.78 %]\n", - "Total : 0.148364 [100.00 %]\n", + "Drift : 0.000318183 [ 0.73 %]\n", + "Velocity : 0.000729736 [ 1.67 %]\n", + "Force : 0.0151746 [ 34.73 %]\n", + "Coefs : 0.00655169 [ 15.00 %]\n", + "Output : 0.00266123 [ 6.09 %]\n", + "Levels : 0.000114455 [ 0.26 %]\n", + "Report : 3.19e-07 [ 0.00 %]\n", + "Balance : 2.31e-07 [ 0.00 %]\n", + "Adjust : 0.0181198 [ 41.48 %]\n", + "Total : 0.0436871 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6631 410 91 7 3 \n", - "1 : 6652 396 82 10 2 \n", - "2 : 6662 394 79 5 2 \n", - "3 : 6672 388 74 5 3 \n", - "4 : 6642 402 86 11 1 \n", - "5 : 6635 406 86 8 7 \n", - "6 : 6657 382 97 4 2 \n", - "7 : 6609 428 87 13 5 \n", - "8 : 6639 411 80 8 4 \n", - "9 : 6637 414 83 6 2 \n", - "10 : 6654 383 94 5 6 \n", - "11 : 6599 452 82 5 4 \n", - "12 : 6652 400 84 4 2 \n", - "13 : 6666 383 95 9 1 \n", + "0 : 6629 420 81 9 3 \n", + "1 : 6662 396 77 2 5 \n", + "2 : 6610 417 103 6 6 \n", + "3 : 6659 396 80 4 3 \n", + "4 : 6608 415 106 8 5 \n", + "5 : 6644 413 74 8 3 \n", + "6 : 6599 438 96 6 3 \n", + "7 : 6612 426 96 5 3 \n", + "8 : 6668 393 71 7 3 \n", + "9 : 6663 393 73 10 3 \n", + "10 : 6648 403 79 8 4 \n", + "11 : 6613 434 89 5 1 \n", + "12 : 6625 422 85 8 2 \n", + "13 : 6671 395 79 7 2 \n", "\n", - "T : 93007 5649 1200 100 44 [100000]\n", + "T : 92911 5761 1189 93 46 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.0%\n", - "--- Adj/Tot = 0.2%\n", - "--- Update = 1.1217e-02 sec\n", - "--- Collate = 8.6701e-05 sec\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 3.6428e-03 sec\n", + "--- Collate = 2.9998e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.391625e-05 < 6.250000e-03 [21]\n", - "--- Max DT=3.055153e-01 > 1.000000e-01 [70381]\n", + "--- Min DT=1.566930e-04 < 6.250000e-03 [30]\n", + "--- Max DT=3.055533e-01 > 1.000000e-01 [70343]\n", "----------------------------------------------------------------------\n", - " Component | low: 21/100000\n", - " Component | high: 70381/100000\n", + " Component | low: 30/100000\n", + " Component | high: 70343/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=11.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00102129 [ 0.78 %]\n", - "Velocity : 0.00272996 [ 2.10 %]\n", - "Force : 0.0471806 [ 36.24 %]\n", - "Coefs : 0.0172367 [ 13.24 %]\n", - "Output : 0.0013476 [ 1.04 %]\n", - "Levels : 0.000303335 [ 0.23 %]\n", - "Report : 6.3e-07 [ 0.00 %]\n", - "Balance : 3.92e-07 [ 0.00 %]\n", - "Adjust : 0.0603317 [ 46.34 %]\n", - "Total : 0.130202 [100.00 %]\n", + "Drift : 0.000312364 [ 0.76 %]\n", + "Velocity : 0.000734599 [ 1.78 %]\n", + "Force : 0.0150169 [ 36.40 %]\n", + "Coefs : 0.00656343 [ 15.91 %]\n", + "Output : 0.000560714 [ 1.36 %]\n", + "Levels : 0.000123157 [ 0.30 %]\n", + "Report : 2e-07 [ 0.00 %]\n", + "Balance : 1.74e-07 [ 0.00 %]\n", + "Adjust : 0.0179303 [ 43.46 %]\n", + "Total : 0.041258 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6629 412 91 7 3 \n", - "1 : 6649 399 84 7 3 \n", - "2 : 6660 396 80 4 2 \n", - "3 : 6671 390 73 6 2 \n", - "4 : 6642 402 85 11 2 \n", - "5 : 6636 405 86 8 7 \n", - "6 : 6655 382 99 4 2 \n", - "7 : 6605 431 88 11 7 \n", - "8 : 6639 412 79 6 6 \n", - "9 : 6637 412 85 6 2 \n", - "10 : 6655 381 93 7 6 \n", - "11 : 6598 452 83 5 4 \n", - "12 : 6653 399 84 5 1 \n", - "13 : 6664 386 95 8 1 \n", + "0 : 6628 421 81 10 2 \n", + "1 : 6662 396 75 4 5 \n", + "2 : 6610 417 104 4 7 \n", + "3 : 6658 397 80 4 3 \n", + "4 : 6608 415 106 8 5 \n", + "5 : 6642 415 73 8 4 \n", + "6 : 6598 439 96 6 3 \n", + "7 : 6611 427 96 4 4 \n", + "8 : 6667 394 70 9 2 \n", + "9 : 6662 393 78 6 3 \n", + "10 : 6650 401 79 9 3 \n", + "11 : 6616 431 89 5 1 \n", + "12 : 6618 430 85 7 2 \n", + "13 : 6670 396 79 7 2 \n", "\n", - "T : 92993 5659 1205 95 48 [100000]\n", + "T : 92900 5772 1191 91 46 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 0.8%\n", "--- Adj/Tot = 0.2%\n", - "--- Update = 1.1388e-02 sec\n", - "--- Collate = 1.0003e-04 sec\n", + "--- Update = 3.5930e-03 sec\n", + "--- Collate = 2.3488e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.649393e-04 < 6.250000e-03 [19]\n", - "--- Max DT=3.055165e-01 > 1.000000e-01 [70403]\n", + "--- Min DT=4.154755e-05 < 6.250000e-03 [27]\n", + "--- Max DT=3.055601e-01 > 1.000000e-01 [70359]\n", "----------------------------------------------------------------------\n", - " Component | low: 19/100000\n", - " Component | high: 70403/100000\n", + " Component | low: 27/100000\n", + " Component | high: 70359/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=11.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000642951 [ 0.48 %]\n", - "Velocity : 0.00271431 [ 2.03 %]\n", - "Force : 0.0492683 [ 36.86 %]\n", - "Coefs : 0.0195748 [ 14.64 %]\n", - "Output : 0.00127325 [ 0.95 %]\n", - "Levels : 0.000321896 [ 0.24 %]\n", - "Report : 6.25e-07 [ 0.00 %]\n", - "Balance : 3.32e-07 [ 0.00 %]\n", - "Adjust : 0.0598253 [ 44.76 %]\n", - "Total : 0.133672 [100.00 %]\n", + "Drift : 0.000330315 [ 0.80 %]\n", + "Velocity : 0.000763725 [ 1.84 %]\n", + "Force : 0.0151205 [ 36.49 %]\n", + "Coefs : 0.00640799 [ 15.47 %]\n", + "Output : 0.000587246 [ 1.42 %]\n", + "Levels : 0.000126123 [ 0.30 %]\n", + "Report : 2.68e-07 [ 0.00 %]\n", + "Balance : 1.61e-07 [ 0.00 %]\n", + "Adjust : 0.0180796 [ 43.64 %]\n", + "Total : 0.0414334 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6630 411 91 7 3 \n", - "1 : 6646 405 81 7 3 \n", - "2 : 6660 396 80 4 2 \n", - "3 : 6671 390 74 5 2 \n", - "4 : 6644 400 87 9 2 \n", - "5 : 6638 404 85 8 7 \n", - "6 : 6653 384 100 3 2 \n", - "7 : 6605 430 90 10 7 \n", - "8 : 6641 410 79 6 6 \n", - "9 : 6639 410 86 5 2 \n", - "10 : 6653 383 92 8 6 \n", - "11 : 6597 452 84 5 4 \n", - "12 : 6651 399 85 6 1 \n", - "13 : 6665 385 96 6 2 \n", + "0 : 6628 421 83 9 1 \n", + "1 : 6661 397 75 4 5 \n", + "2 : 6612 415 104 4 7 \n", + "3 : 6656 398 81 4 3 \n", + "4 : 6605 417 107 8 5 \n", + "5 : 6642 417 71 9 3 \n", + "6 : 6599 438 97 5 3 \n", + "7 : 6610 428 94 6 4 \n", + "8 : 6667 391 73 9 2 \n", + "9 : 6661 394 76 7 4 \n", + "10 : 6651 400 79 8 4 \n", + "11 : 6614 433 89 4 2 \n", + "12 : 6619 428 87 6 2 \n", + "13 : 6670 395 81 6 2 \n", "\n", - "T : 92993 5659 1210 89 49 [100000]\n", + "T : 92895 5772 1197 89 47 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.9%\n", - "--- Adj/Tot = 0.2%\n", - "--- Update = 1.1827e-02 sec\n", - "--- Collate = 8.4884e-05 sec\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 3.6178e-03 sec\n", + "--- Collate = 2.5741e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.295050e-04 < 6.250000e-03 [23]\n", - "--- Max DT=3.055172e-01 > 1.000000e-01 [70410]\n", + "--- Min DT=1.672385e-04 < 6.250000e-03 [28]\n", + "--- Max DT=3.055669e-01 > 1.000000e-01 [70362]\n", "----------------------------------------------------------------------\n", - " Component | low: 23/100000\n", - " Component | high: 70410/100000\n", + " Component | low: 28/100000\n", + " Component | high: 70362/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=11.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00103686 [ 0.76 %]\n", - "Velocity : 0.00259902 [ 1.92 %]\n", - "Force : 0.0498824 [ 36.78 %]\n", - "Coefs : 0.0200005 [ 14.75 %]\n", - "Output : 0.00138192 [ 1.02 %]\n", - "Levels : 0.000257785 [ 0.19 %]\n", - "Report : 5.7e-07 [ 0.00 %]\n", - "Balance : 3.76e-07 [ 0.00 %]\n", - "Adjust : 0.0604279 [ 44.55 %]\n", - "Total : 0.135639 [100.00 %]\n", + "Drift : 0.000311576 [ 0.74 %]\n", + "Velocity : 0.000725595 [ 1.73 %]\n", + "Force : 0.0153057 [ 36.58 %]\n", + "Coefs : 0.0066887 [ 15.99 %]\n", + "Output : 0.000561626 [ 1.34 %]\n", + "Levels : 0.000110932 [ 0.27 %]\n", + "Report : 2.2e-07 [ 0.00 %]\n", + "Balance : 1.46e-07 [ 0.00 %]\n", + "Adjust : 0.0181216 [ 43.31 %]\n", + "Total : 0.0418429 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6630 410 93 6 3 \n", - "1 : 6648 407 77 7 3 \n", - "2 : 6658 396 82 3 3 \n", - "3 : 6668 394 74 4 2 \n", - "4 : 6646 399 85 10 2 \n", - "5 : 6640 402 85 8 7 \n", - "6 : 6652 385 100 2 3 \n", - "7 : 6605 429 93 7 8 \n", - "8 : 6639 414 77 4 8 \n", - "9 : 6639 409 88 4 2 \n", - "10 : 6653 382 93 8 6 \n", - "11 : 6597 452 85 6 2 \n", - "12 : 6651 400 84 5 2 \n", - "13 : 6667 383 95 7 2 \n", + "0 : 6629 420 83 9 1 \n", + "1 : 6660 397 76 4 5 \n", + "2 : 6611 414 105 5 7 \n", + "3 : 6654 400 80 6 2 \n", + "4 : 6607 416 105 9 5 \n", + "5 : 6645 414 70 10 3 \n", + "6 : 6598 439 97 4 4 \n", + "7 : 6610 427 97 3 5 \n", + "8 : 6669 389 74 8 2 \n", + "9 : 6662 394 74 5 7 \n", + "10 : 6650 399 82 9 2 \n", + "11 : 6613 434 89 4 2 \n", + "12 : 6620 427 87 5 3 \n", + "13 : 6670 393 83 6 2 \n", "\n", - "T : 92993 5662 1211 81 53 [100000]\n", + "T : 92898 5763 1202 87 50 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.5%\n", + "--- Coef/DT = 0.7%\n", "--- Adj/Tot = 0.2%\n", - "--- Update = 1.0507e-02 sec\n", - "--- Collate = 8.4695e-05 sec\n", + "--- Update = 3.6845e-03 sec\n", + "--- Collate = 2.5611e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.607003e-04 < 6.250000e-03 [24]\n", - "--- Max DT=3.055185e-01 > 1.000000e-01 [70412]\n", + "--- Min DT=5.951277e-05 < 6.250000e-03 [26]\n", + "--- Max DT=3.055734e-01 > 1.000000e-01 [70359]\n", "----------------------------------------------------------------------\n", - " Component | low: 24/100000\n", - " Component | high: 70412/100000\n", + " Component | low: 26/100000\n", + " Component | high: 70359/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=11.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000987518 [ 0.76 %]\n", - "Velocity : 0.00242581 [ 1.86 %]\n", - "Force : 0.0489437 [ 37.53 %]\n", - "Coefs : 0.0192888 [ 14.79 %]\n", - "Output : 0.00131631 [ 1.01 %]\n", - "Levels : 0.000231677 [ 0.18 %]\n", - "Report : 5.54e-07 [ 0.00 %]\n", - "Balance : 3.46e-07 [ 0.00 %]\n", - "Adjust : 0.0571805 [ 43.84 %]\n", - "Total : 0.130423 [100.00 %]\n", + "Drift : 0.000325865 [ 0.78 %]\n", + "Velocity : 0.000750203 [ 1.79 %]\n", + "Force : 0.0152957 [ 36.43 %]\n", + "Coefs : 0.00656992 [ 15.65 %]\n", + "Output : 0.000569229 [ 1.36 %]\n", + "Levels : 0.000125292 [ 0.30 %]\n", + "Report : 2.21e-07 [ 0.00 %]\n", + "Balance : 1.72e-07 [ 0.00 %]\n", + "Adjust : 0.0183308 [ 43.66 %]\n", + "Total : 0.0419851 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6634 403 96 6 3 \n", - "1 : 6647 407 78 7 3 \n", - "2 : 6658 395 83 3 3 \n", - "3 : 6668 394 74 5 1 \n", - "4 : 6648 396 86 10 2 \n", - "5 : 6637 405 87 9 4 \n", - "6 : 6652 384 101 3 2 \n", - "7 : 6606 429 93 7 7 \n", - "8 : 6638 415 78 4 7 \n", - "9 : 6640 408 89 2 3 \n", - "10 : 6652 382 94 8 6 \n", - "11 : 6597 452 85 6 2 \n", - "12 : 6653 394 88 5 2 \n", - "13 : 6668 381 97 6 2 \n", + "0 : 6629 421 82 8 2 \n", + "1 : 6661 396 76 3 6 \n", + "2 : 6611 414 105 5 7 \n", + "3 : 6655 399 81 4 3 \n", + "4 : 6606 418 104 8 6 \n", + "5 : 6646 415 68 11 2 \n", + "6 : 6596 440 98 5 3 \n", + "7 : 6609 429 96 3 5 \n", + "8 : 6671 387 72 9 3 \n", + "9 : 6661 398 71 5 7 \n", + "10 : 6650 399 82 8 3 \n", + "11 : 6614 431 91 3 3 \n", + "12 : 6619 431 84 5 3 \n", + "13 : 6670 392 82 7 3 \n", "\n", - "T : 92998 5645 1229 81 47 [100000]\n", + "T : 92898 5770 1192 84 56 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.9%\n", + "--- Coef/DT = 0.8%\n", "--- Adj/Tot = 0.2%\n", - "--- Update = 9.9131e-03 sec\n", - "--- Collate = 1.1477e-04 sec\n", + "--- Update = 4.1614e-03 sec\n", + "--- Collate = 2.8242e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.082231e-05 < 6.250000e-03 [25]\n", - "--- Max DT=3.055196e-01 > 1.000000e-01 [70418]\n", + "--- Min DT=9.715910e-05 < 6.250000e-03 [24]\n", + "--- Max DT=3.055805e-01 > 1.000000e-01 [70362]\n", "----------------------------------------------------------------------\n", - " Component | low: 25/100000\n", - " Component | high: 70418/100000\n", + " Component | low: 24/100000\n", + " Component | high: 70362/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=11.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0009518 [ 0.76 %]\n", - "Velocity : 0.00256642 [ 2.05 %]\n", - "Force : 0.0461912 [ 36.84 %]\n", - "Coefs : 0.0170858 [ 13.63 %]\n", - "Output : 0.0013284 [ 1.06 %]\n", - "Levels : 0.000228739 [ 0.18 %]\n", - "Report : 6.87e-07 [ 0.00 %]\n", - "Balance : 3.19e-07 [ 0.00 %]\n", - "Adjust : 0.0569859 [ 45.45 %]\n", - "Total : 0.125385 [100.00 %]\n", + "Drift : 0.000325441 [ 0.76 %]\n", + "Velocity : 0.000746232 [ 1.75 %]\n", + "Force : 0.0154118 [ 36.05 %]\n", + "Coefs : 0.00661241 [ 15.47 %]\n", + "Output : 0.000575681 [ 1.35 %]\n", + "Levels : 0.000110048 [ 0.26 %]\n", + "Report : 2.51e-07 [ 0.00 %]\n", + "Balance : 1.63e-07 [ 0.00 %]\n", + "Adjust : 0.0189415 [ 44.31 %]\n", + "Total : 0.0427517 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6633 404 96 6 3 \n", - "1 : 6647 406 79 7 3 \n", - "2 : 6656 397 83 4 2 \n", - "3 : 6668 393 75 4 2 \n", - "4 : 6647 397 86 8 4 \n", - "5 : 6638 405 86 11 2 \n", - "6 : 6653 383 101 3 2 \n", - "7 : 6607 424 97 7 7 \n", - "8 : 6636 416 79 3 8 \n", - "9 : 6641 406 90 2 3 \n", - "10 : 6654 381 93 9 5 \n", - "11 : 6592 456 86 6 2 \n", - "12 : 6653 395 86 6 2 \n", - "13 : 6665 383 98 6 2 \n", + "0 : 6631 419 83 7 2 \n", + "1 : 6662 394 77 3 6 \n", + "2 : 6615 410 105 6 6 \n", + "3 : 6656 400 79 5 2 \n", + "4 : 6606 419 103 8 6 \n", + "5 : 6645 418 65 12 2 \n", + "6 : 6597 440 97 4 4 \n", + "7 : 6609 430 94 5 4 \n", + "8 : 6673 386 72 7 4 \n", + "9 : 6663 396 72 5 6 \n", + "10 : 6650 401 80 7 4 \n", + "11 : 6615 429 92 3 3 \n", + "12 : 6615 434 85 6 2 \n", + "13 : 6668 394 82 7 3 \n", "\n", - "T : 92990 5646 1235 82 47 [100000]\n", + "T : 92905 5770 1186 85 54 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.8%\n", + "--- Coef/DT = 0.7%\n", "--- Adj/Tot = 0.2%\n", - "--- Update = 1.0545e-02 sec\n", - "--- Collate = 7.3036e-05 sec\n", + "--- Update = 3.6791e-03 sec\n", + "--- Collate = 3.1841e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.808434e-06 < 6.250000e-03 [28]\n", - "--- Max DT=3.055200e-01 > 1.000000e-01 [70436]\n", + "--- Min DT=8.010209e-05 < 6.250000e-03 [27]\n", + "--- Max DT=3.055873e-01 > 1.000000e-01 [70369]\n", "----------------------------------------------------------------------\n", - " Component | low: 28/100000\n", - " Component | high: 70436/100000\n", + " Component | low: 27/100000\n", + " Component | high: 70369/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=11.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000853656 [ 0.69 %]\n", - "Velocity : 0.00243467 [ 1.96 %]\n", - "Force : 0.0458774 [ 36.98 %]\n", - "Coefs : 0.0177269 [ 14.29 %]\n", - "Output : 0.00125632 [ 1.01 %]\n", - "Levels : 0.000235297 [ 0.19 %]\n", - "Report : 5.8e-07 [ 0.00 %]\n", - "Balance : 3.1e-07 [ 0.00 %]\n", - "Adjust : 0.0556143 [ 44.83 %]\n", - "Total : 0.124045 [100.00 %]\n", + "Drift : 0.00032485 [ 0.76 %]\n", + "Velocity : 0.00075787 [ 1.78 %]\n", + "Force : 0.0156634 [ 36.84 %]\n", + "Coefs : 0.00665135 [ 15.65 %]\n", + "Output : 0.000554671 [ 1.30 %]\n", + "Levels : 0.000117108 [ 0.28 %]\n", + "Report : 1.91e-07 [ 0.00 %]\n", + "Balance : 1.67e-07 [ 0.00 %]\n", + "Adjust : 0.0184273 [ 43.34 %]\n", + "Total : 0.0425139 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6634 403 95 8 2 \n", - "1 : 6652 402 79 8 1 \n", - "2 : 6653 400 82 4 3 \n", - "3 : 6669 388 78 5 2 \n", - "4 : 6648 398 83 8 5 \n", - "5 : 6640 402 88 10 2 \n", - "6 : 6653 383 101 4 1 \n", - "7 : 6608 422 97 9 6 \n", - "8 : 6636 416 79 4 7 \n", - "9 : 6641 405 91 2 3 \n", - "10 : 6654 380 94 10 4 \n", - "11 : 6594 456 85 5 2 \n", - "12 : 6654 394 86 5 3 \n", - "13 : 6662 387 98 5 2 \n", + "0 : 6631 421 81 7 2 \n", + "1 : 6662 393 79 4 4 \n", + "2 : 6617 407 106 8 4 \n", + "3 : 6659 397 79 5 2 \n", + "4 : 6603 421 104 7 7 \n", + "5 : 6647 414 67 12 2 \n", + "6 : 6595 443 96 3 5 \n", + "7 : 6610 431 92 4 5 \n", + "8 : 6675 384 72 7 4 \n", + "9 : 6665 393 73 5 6 \n", + "10 : 6651 401 79 7 4 \n", + "11 : 6615 429 91 2 5 \n", + "12 : 6616 432 86 6 2 \n", + "13 : 6668 395 81 7 3 \n", "\n", - "T : 92998 5636 1236 87 43 [100000]\n", + "T : 92914 5761 1186 84 55 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 0.9%\n", "--- Adj/Tot = 0.2%\n", - "--- Update = 1.0863e-02 sec\n", - "--- Collate = 7.7692e-05 sec\n", + "--- Update = 3.6596e-03 sec\n", + "--- Collate = 2.5045e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.053879e-04 < 6.250000e-03 [23]\n", - "--- Max DT=3.055210e-01 > 1.000000e-01 [70445]\n", + "--- Min DT=1.242937e-04 < 6.250000e-03 [26]\n", + "--- Max DT=3.055940e-01 > 1.000000e-01 [70368]\n", "----------------------------------------------------------------------\n", - " Component | low: 23/100000\n", - " Component | high: 70445/100000\n", + " Component | low: 26/100000\n", + " Component | high: 70368/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=11.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000995162 [ 0.76 %]\n", - "Velocity : 0.00258721 [ 1.97 %]\n", - "Force : 0.046831 [ 35.67 %]\n", - "Coefs : 0.0176844 [ 13.47 %]\n", - "Output : 0.001437 [ 1.09 %]\n", - "Levels : 0.00033263 [ 0.25 %]\n", - "Report : 9.01e-07 [ 0.00 %]\n", - "Balance : 3.48e-07 [ 0.00 %]\n", - "Adjust : 0.0613869 [ 46.75 %]\n", - "Total : 0.131303 [100.00 %]\n", + "Drift : 0.000299861 [ 0.71 %]\n", + "Velocity : 0.000768572 [ 1.83 %]\n", + "Force : 0.0156066 [ 37.13 %]\n", + "Coefs : 0.00659015 [ 15.68 %]\n", + "Output : 0.000536313 [ 1.28 %]\n", + "Levels : 0.000124383 [ 0.30 %]\n", + "Report : 3.24e-07 [ 0.00 %]\n", + "Balance : 1.64e-07 [ 0.00 %]\n", + "Adjust : 0.0180883 [ 43.04 %]\n", + "Total : 0.0420305 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6635 402 95 7 3 \n", - "1 : 6652 402 80 6 2 \n", - "2 : 6652 402 82 3 3 \n", - "3 : 6667 390 78 5 2 \n", - "4 : 6646 400 83 8 5 \n", - "5 : 6640 402 88 11 1 \n", - "6 : 6655 381 102 3 1 \n", - "7 : 6609 419 96 13 5 \n", - "8 : 6636 415 80 4 7 \n", - "9 : 6643 400 94 3 2 \n", - "10 : 6657 377 93 10 5 \n", - "11 : 6597 453 86 4 2 \n", - "12 : 6656 393 85 4 4 \n", - "13 : 6660 389 96 7 2 \n", + "0 : 6631 421 82 5 3 \n", + "1 : 6664 390 79 6 3 \n", + "2 : 6615 409 105 9 4 \n", + "3 : 6657 399 80 5 1 \n", + "4 : 6603 425 101 5 8 \n", + "5 : 6645 416 66 12 3 \n", + "6 : 6594 443 96 5 4 \n", + "7 : 6612 430 91 4 5 \n", + "8 : 6677 381 73 7 4 \n", + "9 : 6666 391 74 5 6 \n", + "10 : 6651 400 80 6 5 \n", + "11 : 6613 432 90 2 5 \n", + "12 : 6617 431 85 6 3 \n", + "13 : 6669 393 83 6 3 \n", "\n", - "T : 93005 5625 1238 88 44 [100000]\n", + "T : 92914 5761 1185 83 57 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 0.8%\n", "--- Adj/Tot = 0.2%\n", - "--- Update = 1.1129e-02 sec\n", - "--- Collate = 8.3905e-05 sec\n", + "--- Update = 3.6932e-03 sec\n", + "--- Collate = 2.4387e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.996780e-06 < 6.250000e-03 [22]\n", - "--- Max DT=3.055219e-01 > 1.000000e-01 [70461]\n", + "--- Min DT=2.349742e-05 < 6.250000e-03 [29]\n", + "--- Max DT=3.056012e-01 > 1.000000e-01 [70374]\n", "----------------------------------------------------------------------\n", - " Component | low: 22/100000\n", - " Component | high: 70461/100000\n", + " Component | low: 29/100000\n", + " Component | high: 70374/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=11.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000946668 [ 0.69 %]\n", - "Velocity : 0.00257267 [ 1.87 %]\n", - "Force : 0.0506769 [ 36.92 %]\n", - "Coefs : 0.0198798 [ 14.48 %]\n", - "Output : 0.00142057 [ 1.03 %]\n", - "Levels : 0.000247761 [ 0.18 %]\n", - "Report : 6.5e-07 [ 0.00 %]\n", - "Balance : 3.65e-07 [ 0.00 %]\n", - "Adjust : 0.0614878 [ 44.79 %]\n", - "Total : 0.137279 [100.00 %]\n", + "Drift : 0.000325235 [ 0.77 %]\n", + "Velocity : 0.000747264 [ 1.76 %]\n", + "Force : 0.0157641 [ 37.12 %]\n", + "Coefs : 0.00660602 [ 15.56 %]\n", + "Output : 0.000556885 [ 1.31 %]\n", + "Levels : 0.000111314 [ 0.26 %]\n", + "Report : 2.4e-07 [ 0.00 %]\n", + "Balance : 1.71e-07 [ 0.00 %]\n", + "Adjust : 0.0183348 [ 43.18 %]\n", + "Total : 0.0424629 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6635 400 97 7 3 \n", - "1 : 6657 396 80 7 2 \n", - "2 : 6649 404 82 4 3 \n", - "3 : 6667 389 79 5 2 \n", - "4 : 6646 400 83 8 5 \n", - "5 : 6639 403 89 10 1 \n", - "6 : 6653 385 99 4 1 \n", - "7 : 6607 420 98 12 5 \n", - "8 : 6635 416 80 4 7 \n", - "9 : 6643 399 96 2 2 \n", - "10 : 6655 378 94 11 4 \n", - "11 : 6590 460 86 6 0 \n", - "12 : 6655 395 84 5 3 \n", - "13 : 6660 387 99 6 2 \n", + "0 : 6631 420 83 5 3 \n", + "1 : 6664 390 79 7 2 \n", + "2 : 6613 413 103 10 3 \n", + "3 : 6658 399 80 4 1 \n", + "4 : 6603 426 100 5 8 \n", + "5 : 6644 416 67 11 4 \n", + "6 : 6591 447 94 7 3 \n", + "7 : 6609 433 89 7 4 \n", + "8 : 6673 385 72 8 4 \n", + "9 : 6666 391 75 3 7 \n", + "10 : 6652 400 79 7 4 \n", + "11 : 6612 433 89 3 5 \n", + "12 : 6615 435 82 8 2 \n", + "13 : 6668 394 83 4 5 \n", "\n", - "T : 92991 5632 1246 91 40 [100000]\n", + "T : 92899 5782 1175 89 55 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.3%\n", + "--- Coef/DT = 0.9%\n", "--- Adj/Tot = 0.2%\n", - "--- Update = 9.9692e-03 sec\n", - "--- Collate = 8.4702e-05 sec\n", + "--- Update = 3.7252e-03 sec\n", + "--- Collate = 2.5137e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.929799e-04 < 6.250000e-03 [21]\n", - "--- Max DT=3.055235e-01 > 1.000000e-01 [70465]\n", + "--- Min DT=1.569753e-04 < 6.250000e-03 [26]\n", + "--- Max DT=3.056085e-01 > 1.000000e-01 [70375]\n", "----------------------------------------------------------------------\n", - " Component | low: 21/100000\n", - " Component | high: 70465/100000\n", + " Component | low: 26/100000\n", + " Component | high: 70375/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=11.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000940177 [ 0.74 %]\n", - "Velocity : 0.00244015 [ 1.93 %]\n", - "Force : 0.0473168 [ 37.39 %]\n", - "Coefs : 0.0177062 [ 13.99 %]\n", - "Output : 0.00131103 [ 1.04 %]\n", - "Levels : 0.000227761 [ 0.18 %]\n", - "Report : 7.95e-07 [ 0.00 %]\n", - "Balance : 3.23e-07 [ 0.00 %]\n", - "Adjust : 0.0565497 [ 44.69 %]\n", - "Total : 0.12654 [100.00 %]\n", + "Drift : 0.000326477 [ 0.77 %]\n", + "Velocity : 0.000767902 [ 1.81 %]\n", + "Force : 0.0157093 [ 36.96 %]\n", + "Coefs : 0.0065864 [ 15.49 %]\n", + "Output : 0.000569093 [ 1.34 %]\n", + "Levels : 0.000112115 [ 0.26 %]\n", + "Report : 3.4e-07 [ 0.00 %]\n", + "Balance : 1.74e-07 [ 0.00 %]\n", + "Adjust : 0.0184192 [ 43.33 %]\n", + "Total : 0.0425093 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6636 398 98 8 2 \n", - "1 : 6654 399 78 9 2 \n", - "2 : 6648 402 83 6 3 \n", - "3 : 6667 389 79 3 4 \n", - "4 : 6643 402 84 9 4 \n", - "5 : 6637 404 90 10 1 \n", - "6 : 6651 386 100 4 1 \n", - "7 : 6607 420 98 11 6 \n", - "8 : 6635 416 79 6 6 \n", - "9 : 6644 396 98 3 1 \n", - "10 : 6656 377 96 10 3 \n", - "11 : 6590 460 85 7 0 \n", - "12 : 6653 399 82 4 4 \n", - "13 : 6662 385 99 6 2 \n", + "0 : 6632 419 83 5 3 \n", + "1 : 6664 389 82 5 2 \n", + "2 : 6611 416 102 11 2 \n", + "3 : 6658 399 80 4 1 \n", + "4 : 6599 430 101 5 7 \n", + "5 : 6645 415 69 8 5 \n", + "6 : 6589 450 94 6 3 \n", + "7 : 6608 434 92 4 4 \n", + "8 : 6675 383 72 9 3 \n", + "9 : 6668 391 73 4 6 \n", + "10 : 6656 396 80 6 4 \n", + "11 : 6613 432 88 4 5 \n", + "12 : 6615 436 81 10 0 \n", + "13 : 6668 394 83 3 6 \n", "\n", - "T : 92983 5633 1249 96 39 [100000]\n", + "T : 92901 5784 1180 84 51 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 0.9%\n", "--- Adj/Tot = 0.2%\n", - "--- Update = 1.0479e-02 sec\n", - "--- Collate = 8.3436e-05 sec\n", + "--- Update = 3.5944e-03 sec\n", + "--- Collate = 2.3713e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.608896e-04 < 6.250000e-03 [19]\n", - "--- Max DT=3.055252e-01 > 1.000000e-01 [70470]\n", + "--- Min DT=5.631554e-05 < 6.250000e-03 [23]\n", + "--- Max DT=3.056152e-01 > 1.000000e-01 [70386]\n", "----------------------------------------------------------------------\n", - " Component | low: 19/100000\n", - " Component | high: 70470/100000\n", + " Component | low: 23/100000\n", + " Component | high: 70386/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=12] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0010378 [ 0.79 %]\n", - "Velocity : 0.00245383 [ 1.86 %]\n", - "Force : 0.0469554 [ 35.67 %]\n", - "Coefs : 0.0166326 [ 12.63 %]\n", - "Output : 0.00719625 [ 5.47 %]\n", - "Levels : 0.0002374 [ 0.18 %]\n", - "Report : 1.424e-06 [ 0.00 %]\n", - "Balance : 7.9e-07 [ 0.00 %]\n", - "Adjust : 0.0570682 [ 43.35 %]\n", - "Total : 0.131646 [100.00 %]\n", + "Drift : 0.000332095 [ 0.75 %]\n", + "Velocity : 0.000737458 [ 1.66 %]\n", + "Force : 0.0155552 [ 35.02 %]\n", + "Coefs : 0.00655664 [ 14.76 %]\n", + "Output : 0.00272294 [ 6.13 %]\n", + "Levels : 0.00011729 [ 0.26 %]\n", + "Report : 4.32e-07 [ 0.00 %]\n", + "Balance : 2.32e-07 [ 0.00 %]\n", + "Adjust : 0.018379 [ 41.38 %]\n", + "Total : 0.0444194 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6634 399 99 8 2 \n", - "1 : 6653 399 79 9 2 \n", - "2 : 6646 406 81 6 3 \n", - "3 : 6667 389 80 2 4 \n", - "4 : 6642 402 84 11 3 \n", - "5 : 6638 402 91 10 1 \n", - "6 : 6651 388 98 4 1 \n", - "7 : 6611 417 98 10 6 \n", - "8 : 6635 416 79 6 6 \n", - "9 : 6646 391 100 5 0 \n", - "10 : 6652 381 95 11 3 \n", - "11 : 6593 456 85 8 0 \n", - "12 : 6652 399 83 4 4 \n", - "13 : 6660 388 98 6 2 \n", + "0 : 6632 416 87 4 3 \n", + "1 : 6661 393 80 5 3 \n", + "2 : 6611 416 103 9 3 \n", + "3 : 6657 398 82 5 0 \n", + "4 : 6601 428 101 5 7 \n", + "5 : 6644 416 70 8 4 \n", + "6 : 6589 448 96 7 2 \n", + "7 : 6605 438 90 6 3 \n", + "8 : 6677 381 73 9 2 \n", + "9 : 6669 391 71 7 4 \n", + "10 : 6651 402 78 8 3 \n", + "11 : 6612 435 86 4 5 \n", + "12 : 6616 435 82 9 0 \n", + "13 : 6667 395 83 3 6 \n", "\n", - "T : 92980 5633 1250 100 37 [100000]\n", + "T : 92892 5792 1182 89 45 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.7%\n", + "--- Coef/DT = 0.8%\n", "--- Adj/Tot = 0.2%\n", - "--- Update = 1.1340e-02 sec\n", - "--- Collate = 9.6986e-05 sec\n", + "--- Update = 3.6584e-03 sec\n", + "--- Collate = 2.6049e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.424436e-04 < 6.250000e-03 [17]\n", - "--- Max DT=3.055269e-01 > 1.000000e-01 [70475]\n", + "--- Min DT=1.514686e-05 < 6.250000e-03 [24]\n", + "--- Max DT=3.056219e-01 > 1.000000e-01 [70393]\n", "----------------------------------------------------------------------\n", - " Component | low: 17/100000\n", - " Component | high: 70475/100000\n", + " Component | low: 24/100000\n", + " Component | high: 70393/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=12.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00101107 [ 0.78 %]\n", - "Velocity : 0.00278986 [ 2.15 %]\n", - "Force : 0.0466018 [ 35.89 %]\n", - "Coefs : 0.0174719 [ 13.45 %]\n", - "Output : 0.0013447 [ 1.04 %]\n", - "Levels : 0.000261394 [ 0.20 %]\n", - "Report : 7.4e-07 [ 0.00 %]\n", - "Balance : 3.68e-07 [ 0.00 %]\n", - "Adjust : 0.0603349 [ 46.46 %]\n", - "Total : 0.129864 [100.00 %]\n", + "Drift : 0.000313066 [ 0.74 %]\n", + "Velocity : 0.000720829 [ 1.71 %]\n", + "Force : 0.0155496 [ 36.85 %]\n", + "Coefs : 0.00662618 [ 15.70 %]\n", + "Output : 0.000583184 [ 1.38 %]\n", + "Levels : 0.000133196 [ 0.32 %]\n", + "Report : 3.23e-07 [ 0.00 %]\n", + "Balance : 1.69e-07 [ 0.00 %]\n", + "Adjust : 0.0182574 [ 43.26 %]\n", + "Total : 0.0422003 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6637 397 98 8 2 \n", - "1 : 6651 401 80 6 4 \n", - "2 : 6650 403 80 6 3 \n", - "3 : 6669 387 80 3 3 \n", - "4 : 6643 400 85 10 4 \n", - "5 : 6637 403 91 10 1 \n", - "6 : 6646 391 100 4 1 \n", - "7 : 6609 418 99 10 6 \n", - "8 : 6636 415 80 7 4 \n", - "9 : 6647 390 98 6 1 \n", - "10 : 6657 378 93 11 3 \n", - "11 : 6594 455 85 7 1 \n", - "12 : 6650 400 83 5 4 \n", - "13 : 6659 389 98 6 2 \n", + "0 : 6630 420 85 3 4 \n", + "1 : 6662 392 80 4 4 \n", + "2 : 6613 413 104 9 3 \n", + "3 : 6659 396 81 6 0 \n", + "4 : 6600 426 104 5 7 \n", + "5 : 6640 419 72 7 4 \n", + "6 : 6588 449 95 8 2 \n", + "7 : 6607 435 90 7 3 \n", + "8 : 6673 385 73 9 2 \n", + "9 : 6669 391 71 9 2 \n", + "10 : 6649 403 78 9 3 \n", + "11 : 6609 440 85 3 5 \n", + "12 : 6615 435 83 9 0 \n", + "13 : 6667 395 83 3 6 \n", "\n", - "T : 92985 5627 1250 99 39 [100000]\n", + "T : 92881 5799 1184 91 45 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 0.9%\n", "--- Adj/Tot = 0.2%\n", - "--- Update = 1.1022e-02 sec\n", - "--- Collate = 6.0260e-05 sec\n", + "--- Update = 3.6826e-03 sec\n", + "--- Collate = 2.6328e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.604292e-05 < 6.250000e-03 [20]\n", - "--- Max DT=3.055294e-01 > 1.000000e-01 [70485]\n", + "--- Min DT=3.243505e-04 < 6.250000e-03 [15]\n", + "--- Max DT=3.056290e-01 > 1.000000e-01 [70402]\n", "----------------------------------------------------------------------\n", - " Component | low: 20/100000\n", - " Component | high: 70485/100000\n", + " Component | low: 15/100000\n", + " Component | high: 70402/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=12.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00071096 [ 0.53 %]\n", - "Velocity : 0.0021169 [ 1.59 %]\n", - "Force : 0.050621 [ 38.01 %]\n", - "Coefs : 0.0190724 [ 14.32 %]\n", - "Output : 0.00130107 [ 0.98 %]\n", - "Levels : 0.000226368 [ 0.17 %]\n", - "Report : 7.01e-07 [ 0.00 %]\n", - "Balance : 4.13e-07 [ 0.00 %]\n", - "Adjust : 0.059083 [ 44.36 %]\n", - "Total : 0.13318 [100.00 %]\n", + "Drift : 0.000336819 [ 0.80 %]\n", + "Velocity : 0.000760959 [ 1.80 %]\n", + "Force : 0.015604 [ 36.85 %]\n", + "Coefs : 0.00660267 [ 15.59 %]\n", + "Output : 0.000559877 [ 1.32 %]\n", + "Levels : 0.000115912 [ 0.27 %]\n", + "Report : 1.94e-07 [ 0.00 %]\n", + "Balance : 1.62e-07 [ 0.00 %]\n", + "Adjust : 0.0183413 [ 43.32 %]\n", + "Total : 0.0423398 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6634 400 98 8 2 \n", - "1 : 6656 396 80 7 3 \n", - "2 : 6648 404 81 6 3 \n", - "3 : 6670 387 78 4 3 \n", - "4 : 6645 398 85 10 4 \n", - "5 : 6636 404 92 8 2 \n", - "6 : 6642 396 99 2 3 \n", - "7 : 6614 412 100 9 7 \n", - "8 : 6636 413 83 6 4 \n", - "9 : 6648 388 99 5 2 \n", - "10 : 6658 378 91 11 4 \n", - "11 : 6593 455 85 8 1 \n", - "12 : 6654 394 85 4 5 \n", - "13 : 6659 391 96 6 2 \n", + "0 : 6628 420 87 5 2 \n", + "1 : 6661 392 82 3 4 \n", + "2 : 6612 413 105 9 3 \n", + "3 : 6663 392 81 5 1 \n", + "4 : 6600 425 106 5 6 \n", + "5 : 6637 422 72 7 4 \n", + "6 : 6588 448 96 6 4 \n", + "7 : 6604 438 90 9 1 \n", + "8 : 6674 385 73 8 2 \n", + "9 : 6669 392 70 9 2 \n", + "10 : 6646 407 78 8 3 \n", + "11 : 6611 439 84 4 4 \n", + "12 : 6618 431 83 10 0 \n", + "13 : 6667 395 83 3 6 \n", "\n", - "T : 92993 5616 1252 94 45 [100000]\n", + "T : 92878 5799 1190 91 42 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.0%\n", + "--- Coef/DT = 0.8%\n", "--- Adj/Tot = 0.2%\n", - "--- Update = 1.0115e-02 sec\n", - "--- Collate = 6.1119e-05 sec\n", + "--- Update = 3.6279e-03 sec\n", + "--- Collate = 2.7952e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.381110e-04 < 6.250000e-03 [24]\n", - "--- Max DT=3.055317e-01 > 1.000000e-01 [70481]\n", + "--- Min DT=2.430839e-04 < 6.250000e-03 [20]\n", + "--- Max DT=3.056352e-01 > 1.000000e-01 [70402]\n", "----------------------------------------------------------------------\n", - " Component | low: 24/100000\n", - " Component | high: 70481/100000\n", + " Component | low: 20/100000\n", + " Component | high: 70402/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=12.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00087519 [ 0.65 %]\n", - "Velocity : 0.00257067 [ 1.92 %]\n", - "Force : 0.0503929 [ 37.61 %]\n", - "Coefs : 0.019563 [ 14.60 %]\n", - "Output : 0.00129838 [ 0.97 %]\n", - "Levels : 0.000225287 [ 0.17 %]\n", - "Report : 6.25e-07 [ 0.00 %]\n", - "Balance : 3.42e-07 [ 0.00 %]\n", - "Adjust : 0.059022 [ 44.05 %]\n", - "Total : 0.133993 [100.00 %]\n", + "Drift : 0.000320537 [ 0.76 %]\n", + "Velocity : 0.000747864 [ 1.77 %]\n", + "Force : 0.0155836 [ 36.98 %]\n", + "Coefs : 0.00667215 [ 15.83 %]\n", + "Output : 0.000546371 [ 1.30 %]\n", + "Levels : 0.000115863 [ 0.27 %]\n", + "Report : 2.08e-07 [ 0.00 %]\n", + "Balance : 1.66e-07 [ 0.00 %]\n", + "Adjust : 0.0181357 [ 43.04 %]\n", + "Total : 0.0421387 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6635 398 99 8 2 \n", - "1 : 6653 398 81 5 5 \n", - "2 : 6645 405 84 6 2 \n", - "3 : 6669 388 78 4 3 \n", - "4 : 6644 397 88 8 5 \n", - "5 : 6631 409 90 10 2 \n", - "6 : 6644 396 97 2 3 \n", - "7 : 6614 412 100 8 8 \n", - "8 : 6639 410 83 8 2 \n", - "9 : 6646 390 100 4 2 \n", - "10 : 6656 379 92 11 4 \n", - "11 : 6593 454 85 8 2 \n", - "12 : 6655 393 87 3 4 \n", - "13 : 6657 392 97 7 1 \n", + "0 : 6626 420 88 5 3 \n", + "1 : 6662 391 82 4 3 \n", + "2 : 6610 414 106 9 3 \n", + "3 : 6661 393 82 4 2 \n", + "4 : 6599 426 105 6 6 \n", + "5 : 6639 422 70 7 4 \n", + "6 : 6588 448 96 6 4 \n", + "7 : 6609 434 89 9 1 \n", + "8 : 6674 385 73 8 2 \n", + "9 : 6671 390 71 9 1 \n", + "10 : 6650 404 77 7 4 \n", + "11 : 6615 433 85 4 5 \n", + "12 : 6614 436 84 8 0 \n", + "13 : 6670 393 82 3 6 \n", "\n", - "T : 92981 5621 1261 92 45 [100000]\n", + "T : 92888 5789 1190 89 44 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.1%\n", + "--- Coef/DT = 0.6%\n", "--- Adj/Tot = 0.2%\n", - "--- Update = 1.1139e-02 sec\n", - "--- Collate = 9.2925e-05 sec\n", + "--- Update = 3.5931e-03 sec\n", + "--- Collate = 2.3768e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.145255e-05 < 6.250000e-03 [25]\n", - "--- Max DT=3.055334e-01 > 1.000000e-01 [70474]\n", + "--- Min DT=8.327128e-05 < 6.250000e-03 [16]\n", + "--- Max DT=3.056418e-01 > 1.000000e-01 [70406]\n", "----------------------------------------------------------------------\n", - " Component | low: 25/100000\n", - " Component | high: 70474/100000\n", + " Component | low: 16/100000\n", + " Component | high: 70406/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=12.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000980252 [ 0.80 %]\n", - "Velocity : 0.00252269 [ 2.05 %]\n", - "Force : 0.0453153 [ 36.83 %]\n", - "Coefs : 0.0168979 [ 13.73 %]\n", - "Output : 0.00129761 [ 1.05 %]\n", - "Levels : 0.000206827 [ 0.17 %]\n", - "Report : 7.51e-07 [ 0.00 %]\n", - "Balance : 2.74e-07 [ 0.00 %]\n", - "Adjust : 0.0557845 [ 45.33 %]\n", - "Total : 0.123052 [100.00 %]\n", + "Drift : 0.000327814 [ 0.78 %]\n", + "Velocity : 0.000750298 [ 1.78 %]\n", + "Force : 0.0156835 [ 37.11 %]\n", + "Coefs : 0.0066017 [ 15.62 %]\n", + "Output : 0.000546689 [ 1.29 %]\n", + "Levels : 0.000108922 [ 0.26 %]\n", + "Report : 1.74e-07 [ 0.00 %]\n", + "Balance : 2.76e-07 [ 0.00 %]\n", + "Adjust : 0.0182263 [ 43.13 %]\n", + "Total : 0.0422631 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6635 396 102 7 2 \n", - "1 : 6653 398 82 4 5 \n", - "2 : 6647 400 87 6 2 \n", - "3 : 6671 386 77 5 3 \n", - "4 : 6645 394 89 6 8 \n", - "5 : 6627 413 90 10 2 \n", - "6 : 6645 393 99 1 4 \n", - "7 : 6614 410 104 8 6 \n", - "8 : 6637 412 84 7 2 \n", - "9 : 6645 389 102 4 2 \n", - "10 : 6658 377 91 12 4 \n", - "11 : 6593 456 83 7 3 \n", - "12 : 6656 391 88 3 4 \n", - "13 : 6656 394 96 7 1 \n", + "0 : 6627 418 89 5 3 \n", + "1 : 6663 390 82 4 3 \n", + "2 : 6608 418 105 7 4 \n", + "3 : 6663 391 82 3 3 \n", + "4 : 6597 428 104 9 4 \n", + "5 : 6638 423 70 7 4 \n", + "6 : 6585 451 96 6 4 \n", + "7 : 6607 436 90 7 2 \n", + "8 : 6676 383 73 9 1 \n", + "9 : 6668 393 71 9 1 \n", + "10 : 6648 404 78 8 4 \n", + "11 : 6617 432 84 6 3 \n", + "12 : 6614 436 83 9 0 \n", + "13 : 6671 390 84 3 6 \n", "\n", - "T : 92982 5609 1274 87 48 [100000]\n", + "T : 92882 5793 1191 92 42 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 1.0%\n", "--- Adj/Tot = 0.2%\n", - "--- Update = 1.1676e-02 sec\n", - "--- Collate = 9.6866e-05 sec\n", + "--- Update = 3.6631e-03 sec\n", + "--- Collate = 2.9260e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.842110e-04 < 6.250000e-03 [24]\n", - "--- Max DT=3.055360e-01 > 1.000000e-01 [70480]\n", + "--- Min DT=2.265517e-04 < 6.250000e-03 [15]\n", + "--- Max DT=3.056484e-01 > 1.000000e-01 [70417]\n", "----------------------------------------------------------------------\n", - " Component | low: 24/100000\n", - " Component | high: 70480/100000\n", + " Component | low: 15/100000\n", + " Component | high: 70417/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=12.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00122136 [ 0.95 %]\n", - "Velocity : 0.00244843 [ 1.91 %]\n", - "Force : 0.0465145 [ 36.23 %]\n", - "Coefs : 0.0173398 [ 13.51 %]\n", - "Output : 0.00142628 [ 1.11 %]\n", - "Levels : 0.000299205 [ 0.23 %]\n", - "Report : 8.25e-07 [ 0.00 %]\n", - "Balance : 3.81e-07 [ 0.00 %]\n", - "Adjust : 0.0590719 [ 46.02 %]\n", - "Total : 0.128371 [100.00 %]\n", + "Drift : 0.000302499 [ 0.71 %]\n", + "Velocity : 0.000765611 [ 1.78 %]\n", + "Force : 0.0158347 [ 36.91 %]\n", + "Coefs : 0.00666788 [ 15.54 %]\n", + "Output : 0.000572827 [ 1.34 %]\n", + "Levels : 0.000132592 [ 0.31 %]\n", + "Report : 1.83e-07 [ 0.00 %]\n", + "Balance : 1.7e-07 [ 0.00 %]\n", + "Adjust : 0.0186107 [ 43.38 %]\n", + "Total : 0.0429052 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6634 393 105 7 3 \n", - "1 : 6649 402 82 4 5 \n", - "2 : 6644 402 89 5 2 \n", - "3 : 6671 388 75 6 2 \n", - "4 : 6648 391 89 5 9 \n", - "5 : 6629 410 91 10 2 \n", - "6 : 6647 391 99 1 4 \n", - "7 : 6613 412 103 8 6 \n", - "8 : 6634 415 83 7 3 \n", - "9 : 6643 393 100 5 1 \n", - "10 : 6657 381 86 14 4 \n", - "11 : 6594 455 83 7 3 \n", - "12 : 6652 395 89 2 4 \n", - "13 : 6655 397 93 8 1 \n", + "0 : 6626 419 88 7 2 \n", + "1 : 6662 391 82 4 3 \n", + "2 : 6607 420 104 7 4 \n", + "3 : 6661 393 81 5 2 \n", + "4 : 6600 425 104 10 3 \n", + "5 : 6640 421 70 7 4 \n", + "6 : 6580 456 97 6 3 \n", + "7 : 6608 435 93 4 2 \n", + "8 : 6672 389 70 8 3 \n", + "9 : 6667 394 72 7 2 \n", + "10 : 6644 410 77 6 5 \n", + "11 : 6616 433 86 4 3 \n", + "12 : 6613 436 83 9 1 \n", + "13 : 6672 389 84 4 5 \n", "\n", - "T : 92970 5625 1267 89 49 [100000]\n", + "T : 92868 5811 1191 88 42 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.0%\n", - "--- Adj/Tot = 0.3%\n", - "--- Update = 1.1371e-02 sec\n", - "--- Collate = 7.0821e-05 sec\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.6365e-03 sec\n", + "--- Collate = 2.4313e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.760871e-05 < 6.250000e-03 [26]\n", - "--- Max DT=3.055376e-01 > 1.000000e-01 [70482]\n", + "--- Min DT=6.313056e-06 < 6.250000e-03 [22]\n", + "--- Max DT=3.056547e-01 > 1.000000e-01 [70430]\n", "----------------------------------------------------------------------\n", - " Component | low: 26/100000\n", - " Component | high: 70482/100000\n", + " Component | low: 22/100000\n", + " Component | high: 70430/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=12.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000641591 [ 0.47 %]\n", - "Velocity : 0.00170961 [ 1.26 %]\n", - "Force : 0.0503349 [ 37.09 %]\n", - "Coefs : 0.0199699 [ 14.72 %]\n", - "Output : 0.00134263 [ 0.99 %]\n", - "Levels : 0.000258742 [ 0.19 %]\n", - "Report : 8.64e-07 [ 0.00 %]\n", - "Balance : 3.83e-07 [ 0.00 %]\n", - "Adjust : 0.0614013 [ 45.25 %]\n", - "Total : 0.135706 [100.00 %]\n", + "Drift : 0.000324856 [ 0.77 %]\n", + "Velocity : 0.000755664 [ 1.78 %]\n", + "Force : 0.0156723 [ 36.94 %]\n", + "Coefs : 0.00660651 [ 15.57 %]\n", + "Output : 0.000548481 [ 1.29 %]\n", + "Levels : 0.000113605 [ 0.27 %]\n", + "Report : 2.02e-07 [ 0.00 %]\n", + "Balance : 1.48e-07 [ 0.00 %]\n", + "Adjust : 0.0183922 [ 43.35 %]\n", + "Total : 0.0424308 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6635 393 104 7 3 \n", - "1 : 6653 398 83 3 5 \n", - "2 : 6643 404 88 6 1 \n", - "3 : 6674 385 76 5 2 \n", - "4 : 6650 388 90 6 8 \n", - "5 : 6626 410 94 8 4 \n", - "6 : 6645 392 100 1 4 \n", - "7 : 6617 409 102 7 7 \n", - "8 : 6631 419 82 5 5 \n", - "9 : 6645 391 97 7 2 \n", - "10 : 6657 380 88 13 4 \n", - "11 : 6596 452 86 4 4 \n", - "12 : 6652 396 88 3 3 \n", - "13 : 6655 395 94 9 1 \n", + "0 : 6625 417 90 8 2 \n", + "1 : 6660 392 83 4 3 \n", + "2 : 6607 421 103 6 5 \n", + "3 : 6660 394 81 5 2 \n", + "4 : 6599 426 103 12 2 \n", + "5 : 6640 421 70 7 4 \n", + "6 : 6581 454 98 5 4 \n", + "7 : 6607 437 90 6 2 \n", + "8 : 6677 383 72 7 3 \n", + "9 : 6673 388 72 7 2 \n", + "10 : 6644 410 77 7 4 \n", + "11 : 6615 436 84 6 1 \n", + "12 : 6612 437 84 8 1 \n", + "13 : 6670 390 85 5 4 \n", "\n", - "T : 92979 5612 1272 84 53 [100000]\n", + "T : 92870 5806 1192 93 39 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.9%\n", + "--- Coef/DT = 0.7%\n", "--- Adj/Tot = 0.2%\n", - "--- Update = 9.8593e-03 sec\n", - "--- Collate = 8.9678e-05 sec\n", + "--- Update = 3.6039e-03 sec\n", + "--- Collate = 3.5752e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.885730e-04 < 6.250000e-03 [28]\n", - "--- Max DT=3.055397e-01 > 1.000000e-01 [70486]\n", + "--- Min DT=2.297264e-04 < 6.250000e-03 [22]\n", + "--- Max DT=3.056614e-01 > 1.000000e-01 [70430]\n", "----------------------------------------------------------------------\n", - " Component | low: 28/100000\n", - " Component | high: 70486/100000\n", + " Component | low: 22/100000\n", + " Component | high: 70430/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=12.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000986047 [ 0.76 %]\n", - "Velocity : 0.00253284 [ 1.95 %]\n", - "Force : 0.0490461 [ 37.72 %]\n", - "Coefs : 0.0191386 [ 14.72 %]\n", - "Output : 0.00137893 [ 1.06 %]\n", - "Levels : 0.000233808 [ 0.18 %]\n", - "Report : 6.95e-07 [ 0.00 %]\n", - "Balance : 3.19e-07 [ 0.00 %]\n", - "Adjust : 0.0566765 [ 43.58 %]\n", - "Total : 0.13004 [100.00 %]\n", + "Drift : 0.000335255 [ 0.79 %]\n", + "Velocity : 0.000755902 [ 1.77 %]\n", + "Force : 0.0156838 [ 36.75 %]\n", + "Coefs : 0.00660066 [ 15.47 %]\n", + "Output : 0.000576332 [ 1.35 %]\n", + "Levels : 0.000109527 [ 0.26 %]\n", + "Report : 3.23e-07 [ 0.00 %]\n", + "Balance : 1.48e-07 [ 0.00 %]\n", + "Adjust : 0.0186007 [ 43.58 %]\n", + "Total : 0.0426802 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6636 390 107 6 3 \n", - "1 : 6651 400 83 4 4 \n", - "2 : 6642 406 87 6 1 \n", - "3 : 6673 384 78 5 2 \n", - "4 : 6651 388 88 7 8 \n", - "5 : 6627 409 94 8 4 \n", - "6 : 6647 391 98 3 3 \n", - "7 : 6621 405 102 9 5 \n", - "8 : 6631 419 82 4 6 \n", - "9 : 6643 394 95 7 3 \n", - "10 : 6653 385 88 12 4 \n", - "11 : 6600 449 86 3 4 \n", - "12 : 6654 394 89 3 2 \n", - "13 : 6654 399 91 9 1 \n", + "0 : 6624 418 89 9 2 \n", + "1 : 6663 389 82 5 3 \n", + "2 : 6606 421 104 5 6 \n", + "3 : 6662 392 80 6 2 \n", + "4 : 6598 427 103 12 2 \n", + "5 : 6637 424 69 8 4 \n", + "6 : 6584 451 98 7 2 \n", + "7 : 6608 435 92 5 2 \n", + "8 : 6678 384 70 7 3 \n", + "9 : 6671 389 73 8 1 \n", + "10 : 6643 411 77 7 4 \n", + "11 : 6614 437 84 6 1 \n", + "12 : 6609 440 85 7 1 \n", + "13 : 6669 391 85 6 3 \n", "\n", - "T : 92983 5613 1268 86 50 [100000]\n", + "T : 92866 5809 1191 98 36 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.1%\n", + "--- Coef/DT = 0.8%\n", "--- Adj/Tot = 0.2%\n", - "--- Update = 9.9017e-03 sec\n", - "--- Collate = 7.0316e-05 sec\n", + "--- Update = 3.6810e-03 sec\n", + "--- Collate = 3.0171e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.865026e-04 < 6.250000e-03 [24]\n", - "--- Max DT=3.055410e-01 > 1.000000e-01 [70479]\n", + "--- Min DT=9.637266e-05 < 6.250000e-03 [24]\n", + "--- Max DT=3.056679e-01 > 1.000000e-01 [70441]\n", "----------------------------------------------------------------------\n", " Component | low: 24/100000\n", - " Component | high: 70479/100000\n", + " Component | high: 70441/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=12.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000971894 [ 0.78 %]\n", - "Velocity : 0.00200469 [ 1.61 %]\n", - "Force : 0.0452815 [ 36.41 %]\n", - "Coefs : 0.0172587 [ 13.88 %]\n", - "Output : 0.00134742 [ 1.08 %]\n", - "Levels : 0.000235034 [ 0.19 %]\n", - "Report : 8.01e-07 [ 0.00 %]\n", - "Balance : 2.72e-07 [ 0.00 %]\n", - "Adjust : 0.0572292 [ 46.01 %]\n", - "Total : 0.124375 [100.00 %]\n", + "Drift : 0.000335712 [ 0.79 %]\n", + "Velocity : 0.000748299 [ 1.76 %]\n", + "Force : 0.0157311 [ 36.99 %]\n", + "Coefs : 0.00664706 [ 15.63 %]\n", + "Output : 0.000538067 [ 1.27 %]\n", + "Levels : 0.000112059 [ 0.26 %]\n", + "Report : 1.42e-07 [ 0.00 %]\n", + "Balance : 1.71e-07 [ 0.00 %]\n", + "Adjust : 0.0183923 [ 43.25 %]\n", + "Total : 0.042523 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6632 394 107 7 2 \n", - "1 : 6652 398 83 5 4 \n", - "2 : 6643 404 87 7 1 \n", - "3 : 6674 384 77 4 3 \n", - "4 : 6649 390 88 7 8 \n", - "5 : 6626 410 94 8 4 \n", - "6 : 6647 391 98 5 1 \n", - "7 : 6623 402 104 6 7 \n", - "8 : 6629 423 79 6 5 \n", - "9 : 6642 395 95 7 3 \n", - "10 : 6653 385 88 11 5 \n", - "11 : 6599 449 85 5 4 \n", - "12 : 6651 396 90 4 1 \n", - "13 : 6653 401 90 9 1 \n", + "0 : 6626 416 88 10 2 \n", + "1 : 6661 391 82 4 4 \n", + "2 : 6605 422 104 5 6 \n", + "3 : 6660 393 81 6 2 \n", + "4 : 6599 424 106 10 3 \n", + "5 : 6632 428 70 9 3 \n", + "6 : 6583 452 98 7 2 \n", + "7 : 6608 436 89 6 3 \n", + "8 : 6680 380 69 10 3 \n", + "9 : 6672 389 72 7 2 \n", + "10 : 6641 412 78 7 4 \n", + "11 : 6611 440 84 6 1 \n", + "12 : 6607 439 90 5 1 \n", + "13 : 6670 392 84 5 3 \n", "\n", - "T : 92973 5622 1265 91 49 [100000]\n", + "T : 92855 5814 1195 97 39 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.4%\n", + "--- Coef/DT = 0.7%\n", "--- Adj/Tot = 0.2%\n", - "--- Update = 1.0380e-02 sec\n", - "--- Collate = 1.1008e-04 sec\n", + "--- Update = 3.6268e-03 sec\n", + "--- Collate = 2.4990e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.299115e-05 < 6.250000e-03 [27]\n", - "--- Max DT=3.055417e-01 > 1.000000e-01 [70479]\n", + "--- Min DT=7.747453e-05 < 6.250000e-03 [23]\n", + "--- Max DT=3.056739e-01 > 1.000000e-01 [70444]\n", "----------------------------------------------------------------------\n", - " Component | low: 27/100000\n", - " Component | high: 70479/100000\n", + " Component | low: 23/100000\n", + " Component | high: 70444/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=12.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000967285 [ 0.77 %]\n", - "Velocity : 0.00245975 [ 1.96 %]\n", - "Force : 0.0466609 [ 37.11 %]\n", - "Coefs : 0.0170785 [ 13.58 %]\n", - "Output : 0.0013334 [ 1.06 %]\n", - "Levels : 0.000243603 [ 0.19 %]\n", - "Report : 5.98e-07 [ 0.00 %]\n", - "Balance : 3.04e-07 [ 0.00 %]\n", - "Adjust : 0.0569361 [ 45.29 %]\n", - "Total : 0.125726 [100.00 %]\n", + "Drift : 0.000327439 [ 0.78 %]\n", + "Velocity : 0.000769934 [ 1.84 %]\n", + "Force : 0.0155355 [ 37.06 %]\n", + "Coefs : 0.00653618 [ 15.59 %]\n", + "Output : 0.000530683 [ 1.27 %]\n", + "Levels : 0.000122036 [ 0.29 %]\n", + "Report : 1.62e-07 [ 0.00 %]\n", + "Balance : 1.7e-07 [ 0.00 %]\n", + "Adjust : 0.0180819 [ 43.13 %]\n", + "Total : 0.04192 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6631 395 107 6 3 \n", - "1 : 6650 396 88 4 4 \n", - "2 : 6639 404 91 7 1 \n", - "3 : 6669 389 76 7 1 \n", - "4 : 6648 389 90 7 8 \n", - "5 : 6621 415 94 8 4 \n", - "6 : 6646 393 97 5 1 \n", - "7 : 6624 401 102 8 7 \n", - "8 : 6629 423 79 6 5 \n", - "9 : 6642 396 96 5 3 \n", - "10 : 6653 385 89 10 5 \n", - "11 : 6600 446 87 5 4 \n", - "12 : 6653 395 89 3 2 \n", - "13 : 6649 406 90 8 1 \n", + "0 : 6630 413 90 7 2 \n", + "1 : 6659 392 83 4 4 \n", + "2 : 6605 421 104 5 7 \n", + "3 : 6663 391 80 7 1 \n", + "4 : 6601 422 106 10 3 \n", + "5 : 6632 429 69 8 4 \n", + "6 : 6584 451 101 4 2 \n", + "7 : 6611 435 88 5 3 \n", + "8 : 6679 380 69 11 3 \n", + "9 : 6674 386 73 7 2 \n", + "10 : 6642 411 78 7 4 \n", + "11 : 6606 446 83 5 2 \n", + "12 : 6609 438 88 5 2 \n", + "13 : 6668 393 86 5 2 \n", "\n", - "T : 92954 5633 1275 89 49 [100000]\n", + "T : 92863 5808 1198 90 41 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 0.8%\n", "--- Adj/Tot = 0.3%\n", - "--- Update = 1.1055e-02 sec\n", - "--- Collate = 8.0188e-05 sec\n", + "--- Update = 3.5932e-03 sec\n", + "--- Collate = 2.4279e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.961578e-05 < 6.250000e-03 [30]\n", - "--- Max DT=3.055429e-01 > 1.000000e-01 [70491]\n", + "--- Min DT=3.694803e-05 < 6.250000e-03 [25]\n", + "--- Max DT=3.056808e-01 > 1.000000e-01 [70462]\n", "----------------------------------------------------------------------\n", - " Component | low: 30/100000\n", - " Component | high: 70491/100000\n", + " Component | low: 25/100000\n", + " Component | high: 70462/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=13] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000899157 [ 0.65 %]\n", - "Velocity : 0.00253289 [ 1.84 %]\n", - "Force : 0.0483146 [ 35.18 %]\n", - "Coefs : 0.0179608 [ 13.08 %]\n", - "Output : 0.00787671 [ 5.74 %]\n", - "Levels : 0.00030421 [ 0.22 %]\n", - "Report : 1.514e-06 [ 0.00 %]\n", - "Balance : 7.46e-07 [ 0.00 %]\n", - "Adjust : 0.059392 [ 43.25 %]\n", - "Total : 0.137335 [100.00 %]\n", + "Drift : 0.000328255 [ 0.75 %]\n", + "Velocity : 0.000756703 [ 1.74 %]\n", + "Force : 0.0150509 [ 34.55 %]\n", + "Coefs : 0.00654509 [ 15.03 %]\n", + "Output : 0.00265681 [ 6.10 %]\n", + "Levels : 0.00013071 [ 0.30 %]\n", + "Report : 3.48e-07 [ 0.00 %]\n", + "Balance : 2.33e-07 [ 0.00 %]\n", + "Adjust : 0.0180717 [ 41.49 %]\n", + "Total : 0.0435568 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6629 397 106 7 3 \n", - "1 : 6651 396 88 5 2 \n", - "2 : 6641 402 92 4 3 \n", - "3 : 6667 390 77 7 1 \n", - "4 : 6648 390 89 6 9 \n", - "5 : 6619 419 92 7 5 \n", - "6 : 6648 392 96 5 1 \n", - "7 : 6624 403 98 8 9 \n", - "8 : 6630 423 78 6 5 \n", - "9 : 6642 396 96 6 2 \n", - "10 : 6655 383 89 11 4 \n", - "11 : 6597 449 87 5 4 \n", - "12 : 6652 394 90 4 2 \n", - "13 : 6648 407 90 7 2 \n", + "0 : 6626 416 92 6 2 \n", + "1 : 6659 392 82 7 2 \n", + "2 : 6606 419 105 5 7 \n", + "3 : 6664 391 80 6 1 \n", + "4 : 6599 424 106 10 3 \n", + "5 : 6632 429 69 8 4 \n", + "6 : 6584 451 101 3 3 \n", + "7 : 6610 436 87 5 4 \n", + "8 : 6678 380 70 10 4 \n", + "9 : 6672 387 75 5 3 \n", + "10 : 6641 413 77 5 6 \n", + "11 : 6606 445 85 3 3 \n", + "12 : 6608 439 88 5 2 \n", + "13 : 6668 393 85 7 1 \n", "\n", - "T : 92951 5641 1268 88 52 [100000]\n", + "T : 92853 5815 1202 85 45 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.9%\n", - "--- Adj/Tot = 0.2%\n", - "--- Update = 1.1086e-02 sec\n", - "--- Collate = 7.0425e-05 sec\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 3.5566e-03 sec\n", + "--- Collate = 2.4406e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.798458e-04 < 6.250000e-03 [25]\n", - "--- Max DT=3.055436e-01 > 1.000000e-01 [70498]\n", + "--- Min DT=1.813553e-05 < 6.250000e-03 [26]\n", + "--- Max DT=3.056873e-01 > 1.000000e-01 [70461]\n", "----------------------------------------------------------------------\n", - " Component | low: 25/100000\n", - " Component | high: 70498/100000\n", + " Component | low: 26/100000\n", + " Component | high: 70461/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=13.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00113455 [ 0.82 %]\n", - "Velocity : 0.0027866 [ 2.03 %]\n", - "Force : 0.0514045 [ 37.38 %]\n", - "Coefs : 0.0202442 [ 14.72 %]\n", - "Output : 0.00139235 [ 1.01 %]\n", - "Levels : 0.000249839 [ 0.18 %]\n", - "Report : 8.12e-07 [ 0.00 %]\n", - "Balance : 5.87e-07 [ 0.00 %]\n", - "Adjust : 0.0602652 [ 43.82 %]\n", - "Total : 0.137527 [100.00 %]\n", + "Drift : 0.000311331 [ 0.74 %]\n", + "Velocity : 0.000718725 [ 1.72 %]\n", + "Force : 0.0152713 [ 36.53 %]\n", + "Coefs : 0.00662958 [ 15.86 %]\n", + "Output : 0.000576391 [ 1.38 %]\n", + "Levels : 0.000113586 [ 0.27 %]\n", + "Report : 1.69e-07 [ 0.00 %]\n", + "Balance : 1.76e-07 [ 0.00 %]\n", + "Adjust : 0.0181673 [ 43.46 %]\n", + "Total : 0.0418056 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6629 400 104 7 2 \n", - "1 : 6649 398 88 6 1 \n", - "2 : 6636 406 92 5 3 \n", - "3 : 6668 390 75 8 1 \n", - "4 : 6648 390 88 7 9 \n", - "5 : 6622 415 93 8 4 \n", - "6 : 6646 395 94 6 1 \n", - "7 : 6627 400 98 7 10 \n", - "8 : 6632 421 77 7 5 \n", - "9 : 6638 400 96 6 2 \n", - "10 : 6656 381 91 9 5 \n", - "11 : 6596 451 85 6 4 \n", - "12 : 6654 392 90 4 2 \n", - "13 : 6648 405 92 7 2 \n", + "0 : 6627 415 92 8 0 \n", + "1 : 6660 390 83 7 2 \n", + "2 : 6604 423 102 5 8 \n", + "3 : 6665 390 80 6 1 \n", + "4 : 6598 425 105 12 2 \n", + "5 : 6630 431 69 10 2 \n", + "6 : 6584 451 100 4 3 \n", + "7 : 6615 431 87 5 4 \n", + "8 : 6675 382 71 9 5 \n", + "9 : 6672 388 74 5 3 \n", + "10 : 6641 413 77 5 6 \n", + "11 : 6605 446 84 3 4 \n", + "12 : 6608 439 87 6 2 \n", + "13 : 6664 396 86 6 2 \n", "\n", - "T : 92949 5644 1263 93 51 [100000]\n", + "T : 92848 5820 1197 91 44 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.2%\n", - "--- Adj/Tot = 0.3%\n", - "--- Update = 1.0043e-02 sec\n", - "--- Collate = 6.6727e-05 sec\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.5721e-03 sec\n", + "--- Collate = 2.5432e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.553977e-04 < 6.250000e-03 [26]\n", - "--- Max DT=3.055444e-01 > 1.000000e-01 [70515]\n", + "--- Min DT=8.376043e-05 < 6.250000e-03 [24]\n", + "--- Max DT=3.056940e-01 > 1.000000e-01 [70460]\n", "----------------------------------------------------------------------\n", - " Component | low: 26/100000\n", - " Component | high: 70515/100000\n", + " Component | low: 24/100000\n", + " Component | high: 70460/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=13.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000725142 [ 0.52 %]\n", - "Velocity : 0.0027272 [ 1.95 %]\n", - "Force : 0.0500132 [ 35.82 %]\n", - "Coefs : 0.0203615 [ 14.58 %]\n", - "Output : 0.00148396 [ 1.06 %]\n", - "Levels : 0.000257832 [ 0.18 %]\n", - "Report : 9.04e-07 [ 0.00 %]\n", - "Balance : 7.8e-07 [ 0.00 %]\n", - "Adjust : 0.0639858 [ 45.83 %]\n", - "Total : 0.139607 [100.00 %]\n", + "Drift : 0.000323411 [ 0.77 %]\n", + "Velocity : 0.0007639 [ 1.82 %]\n", + "Force : 0.0152953 [ 36.37 %]\n", + "Coefs : 0.0063635 [ 15.13 %]\n", + "Output : 0.000570668 [ 1.36 %]\n", + "Levels : 0.00012144 [ 0.29 %]\n", + "Report : 2.11e-07 [ 0.00 %]\n", + "Balance : 1.72e-07 [ 0.00 %]\n", + "Adjust : 0.0186004 [ 44.23 %]\n", + "Total : 0.0420562 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6626 403 104 7 2 \n", - "1 : 6649 398 85 9 1 \n", - "2 : 6637 405 92 5 3 \n", - "3 : 6672 386 75 7 2 \n", - "4 : 6649 389 89 7 8 \n", - "5 : 6619 417 94 7 5 \n", - "6 : 6645 396 95 5 1 \n", - "7 : 6624 404 97 9 8 \n", - "8 : 6636 419 76 6 5 \n", - "9 : 6638 401 96 4 3 \n", - "10 : 6655 383 90 7 7 \n", - "11 : 6598 449 85 5 5 \n", - "12 : 6654 391 91 4 2 \n", - "13 : 6647 406 90 9 2 \n", + "0 : 6626 417 91 8 0 \n", + "1 : 6660 390 81 9 2 \n", + "2 : 6605 421 104 4 8 \n", + "3 : 6666 388 80 6 2 \n", + "4 : 6602 422 104 11 3 \n", + "5 : 6630 430 70 8 4 \n", + "6 : 6582 452 102 3 3 \n", + "7 : 6616 430 87 5 4 \n", + "8 : 6674 383 72 7 6 \n", + "9 : 6671 387 75 6 3 \n", + "10 : 6642 412 76 6 6 \n", + "11 : 6603 447 85 4 3 \n", + "12 : 6608 438 88 5 3 \n", + "13 : 6662 398 85 7 2 \n", "\n", - "T : 92949 5647 1259 91 54 [100000]\n", + "T : 92847 5815 1200 89 49 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.5%\n", - "--- Adj/Tot = 0.3%\n", - "--- Update = 1.2251e-02 sec\n", - "--- Collate = 1.1606e-04 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.6309e-03 sec\n", + "--- Collate = 2.6935e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.229838e-04 < 6.250000e-03 [22]\n", - "--- Max DT=3.055453e-01 > 1.000000e-01 [70515]\n", + "--- Min DT=1.624597e-04 < 6.250000e-03 [25]\n", + "--- Max DT=3.057012e-01 > 1.000000e-01 [70470]\n", "----------------------------------------------------------------------\n", - " Component | low: 22/100000\n", - " Component | high: 70515/100000\n", + " Component | low: 25/100000\n", + " Component | high: 70470/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=13.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000765354 [ 0.57 %]\n", - "Velocity : 0.0025342 [ 1.88 %]\n", - "Force : 0.0492696 [ 36.51 %]\n", - "Coefs : 0.0174955 [ 12.96 %]\n", - "Output : 0.00141177 [ 1.05 %]\n", - "Levels : 0.000292568 [ 0.22 %]\n", - "Report : 7.81e-07 [ 0.00 %]\n", - "Balance : 3.46e-07 [ 0.00 %]\n", - "Adjust : 0.0631188 [ 46.77 %]\n", - "Total : 0.134956 [100.00 %]\n", + "Drift : 0.000321654 [ 0.76 %]\n", + "Velocity : 0.000733102 [ 1.74 %]\n", + "Force : 0.015528 [ 36.86 %]\n", + "Coefs : 0.00652859 [ 15.50 %]\n", + "Output : 0.000547603 [ 1.30 %]\n", + "Levels : 0.000113828 [ 0.27 %]\n", + "Report : 3.27e-07 [ 0.00 %]\n", + "Balance : 1.5e-07 [ 0.00 %]\n", + "Adjust : 0.0183382 [ 43.53 %]\n", + "Total : 0.0421279 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6627 404 101 7 3 \n", - "1 : 6649 398 85 9 1 \n", - "2 : 6639 400 96 3 4 \n", - "3 : 6673 385 75 5 4 \n", - "4 : 6651 387 88 10 6 \n", - "5 : 6618 417 95 6 6 \n", - "6 : 6642 399 94 7 0 \n", - "7 : 6625 406 94 10 7 \n", - "8 : 6636 420 75 6 5 \n", - "9 : 6636 402 96 5 3 \n", - "10 : 6654 384 89 10 5 \n", - "11 : 6597 450 84 7 4 \n", - "12 : 6652 393 90 6 1 \n", - "13 : 6646 407 90 9 2 \n", + "0 : 6625 417 93 7 0 \n", + "1 : 6660 390 81 9 2 \n", + "2 : 6605 421 104 5 7 \n", + "3 : 6665 389 79 7 2 \n", + "4 : 6601 423 104 11 3 \n", + "5 : 6629 430 72 6 5 \n", + "6 : 6582 451 102 5 2 \n", + "7 : 6613 431 89 5 4 \n", + "8 : 6674 383 73 6 6 \n", + "9 : 6671 387 74 7 3 \n", + "10 : 6644 411 76 5 6 \n", + "11 : 6601 448 85 6 2 \n", + "12 : 6605 441 87 7 2 \n", + "13 : 6662 397 86 4 5 \n", "\n", - "T : 92945 5652 1252 100 51 [100000]\n", + "T : 92837 5819 1205 90 49 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.2%\n", - "--- Adj/Tot = 0.3%\n", - "--- Update = 1.1104e-02 sec\n", - "--- Collate = 9.2358e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.6409e-03 sec\n", + "--- Collate = 2.4563e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.129671e-04 < 6.250000e-03 [23]\n", - "--- Max DT=3.055465e-01 > 1.000000e-01 [70516]\n", + "--- Min DT=3.265525e-05 < 6.250000e-03 [26]\n", + "--- Max DT=3.057082e-01 > 1.000000e-01 [70478]\n", "----------------------------------------------------------------------\n", - " Component | low: 23/100000\n", - " Component | high: 70516/100000\n", + " Component | low: 26/100000\n", + " Component | high: 70478/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=13.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000997489 [ 0.73 %]\n", - "Velocity : 0.00264646 [ 1.94 %]\n", - "Force : 0.0508911 [ 37.33 %]\n", - "Coefs : 0.0192076 [ 14.09 %]\n", - "Output : 0.00131378 [ 0.96 %]\n", - "Levels : 0.000328715 [ 0.24 %]\n", - "Report : 1.166e-06 [ 0.00 %]\n", - "Balance : 3.91e-07 [ 0.00 %]\n", - "Adjust : 0.0608951 [ 44.67 %]\n", - "Total : 0.136328 [100.00 %]\n", + "Drift : 0.000331598 [ 0.79 %]\n", + "Velocity : 0.000747172 [ 1.77 %]\n", + "Force : 0.0154639 [ 36.69 %]\n", + "Coefs : 0.00655232 [ 15.55 %]\n", + "Output : 0.00055598 [ 1.32 %]\n", + "Levels : 0.00013261 [ 0.31 %]\n", + "Report : 1.92e-07 [ 0.00 %]\n", + "Balance : 1.59e-07 [ 0.00 %]\n", + "Adjust : 0.0183422 [ 43.52 %]\n", + "Total : 0.0421431 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6631 399 103 6 3 \n", - "1 : 6644 403 85 8 2 \n", - "2 : 6645 396 94 3 4 \n", - "3 : 6672 386 75 5 4 \n", - "4 : 6650 388 88 11 5 \n", - "5 : 6617 416 97 6 6 \n", - "6 : 6641 401 94 5 1 \n", - "7 : 6624 406 95 10 7 \n", - "8 : 6638 419 74 7 4 \n", - "9 : 6635 402 97 4 4 \n", - "10 : 6655 385 86 11 5 \n", - "11 : 6592 456 83 7 4 \n", - "12 : 6649 395 91 6 1 \n", - "13 : 6647 408 90 6 3 \n", + "0 : 6625 419 91 7 0 \n", + "1 : 6661 389 83 8 1 \n", + "2 : 6605 423 101 7 6 \n", + "3 : 6663 391 79 8 1 \n", + "4 : 6603 421 106 7 5 \n", + "5 : 6628 431 72 4 7 \n", + "6 : 6580 452 103 5 2 \n", + "7 : 6614 432 87 5 4 \n", + "8 : 6676 380 74 5 7 \n", + "9 : 6671 384 77 8 2 \n", + "10 : 6644 411 76 6 5 \n", + "11 : 6601 446 87 5 3 \n", + "12 : 6603 441 89 7 2 \n", + "13 : 6663 396 86 4 5 \n", "\n", - "T : 92940 5660 1252 95 53 [100000]\n", + "T : 92837 5816 1211 86 50 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.5%\n", - "--- Adj/Tot = 0.2%\n", - "--- Update = 1.1017e-02 sec\n", - "--- Collate = 6.5606e-05 sec\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 3.6153e-03 sec\n", + "--- Collate = 2.3689e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.048708e-05 < 6.250000e-03 [22]\n", - "--- Max DT=3.055483e-01 > 1.000000e-01 [70526]\n", + "--- Min DT=1.784760e-04 < 6.250000e-03 [27]\n", + "--- Max DT=3.057156e-01 > 1.000000e-01 [70491]\n", "----------------------------------------------------------------------\n", - " Component | low: 22/100000\n", - " Component | high: 70526/100000\n", + " Component | low: 27/100000\n", + " Component | high: 70491/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=13.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00097284 [ 0.70 %]\n", - "Velocity : 0.00249569 [ 1.80 %]\n", - "Force : 0.0530379 [ 38.15 %]\n", - "Coefs : 0.019757 [ 14.21 %]\n", - "Output : 0.00137118 [ 0.99 %]\n", - "Levels : 0.000225368 [ 0.16 %]\n", - "Report : 6.7e-07 [ 0.00 %]\n", - "Balance : 3.86e-07 [ 0.00 %]\n", - "Adjust : 0.061122 [ 43.96 %]\n", - "Total : 0.13903 [100.00 %]\n", + "Drift : 0.000323269 [ 0.77 %]\n", + "Velocity : 0.000755029 [ 1.81 %]\n", + "Force : 0.0155375 [ 37.25 %]\n", + "Coefs : 0.00648378 [ 15.54 %]\n", + "Output : 0.000540667 [ 1.30 %]\n", + "Levels : 0.000111226 [ 0.27 %]\n", + "Report : 2.34e-07 [ 0.00 %]\n", + "Balance : 1.66e-07 [ 0.00 %]\n", + "Adjust : 0.0179479 [ 43.02 %]\n", + "Total : 0.0417153 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6629 403 102 5 3 \n", - "1 : 6645 402 85 8 2 \n", - "2 : 6642 399 93 5 3 \n", - "3 : 6673 384 76 5 4 \n", - "4 : 6651 388 87 12 4 \n", - "5 : 6617 419 94 6 6 \n", - "6 : 6641 405 90 5 1 \n", - "7 : 6622 407 95 13 5 \n", - "8 : 6641 415 74 9 3 \n", - "9 : 6634 404 96 4 4 \n", - "10 : 6658 380 88 11 5 \n", - "11 : 6593 455 82 8 4 \n", - "12 : 6647 396 91 7 1 \n", - "13 : 6645 409 91 5 4 \n", + "0 : 6625 419 90 8 0 \n", + "1 : 6660 388 84 9 1 \n", + "2 : 6605 422 102 8 5 \n", + "3 : 6665 389 79 8 1 \n", + "4 : 6602 422 107 6 5 \n", + "5 : 6627 433 72 3 7 \n", + "6 : 6582 450 103 5 2 \n", + "7 : 6614 433 88 5 2 \n", + "8 : 6674 382 74 7 5 \n", + "9 : 6670 384 77 7 4 \n", + "10 : 6644 411 76 8 3 \n", + "11 : 6600 445 89 4 4 \n", + "12 : 6602 441 90 7 2 \n", + "13 : 6663 396 86 4 5 \n", "\n", - "T : 92938 5666 1244 103 49 [100000]\n", + "T : 92833 5815 1217 89 46 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.0%\n", - "--- Adj/Tot = 0.3%\n", - "--- Update = 1.1735e-02 sec\n", - "--- Collate = 8.2247e-05 sec\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.5898e-03 sec\n", + "--- Collate = 2.3419e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.593311e-05 < 6.250000e-03 [23]\n", - "--- Max DT=3.055502e-01 > 1.000000e-01 [70539]\n", + "--- Min DT=2.865619e-05 < 6.250000e-03 [23]\n", + "--- Max DT=3.057228e-01 > 1.000000e-01 [70488]\n", "----------------------------------------------------------------------\n", " Component | low: 23/100000\n", - " Component | high: 70539/100000\n", + " Component | high: 70488/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=13.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00109076 [ 0.79 %]\n", - "Velocity : 0.00240446 [ 1.74 %]\n", - "Force : 0.0519631 [ 37.71 %]\n", - "Coefs : 0.0196291 [ 14.24 %]\n", - "Output : 0.00128882 [ 0.94 %]\n", - "Levels : 0.000272495 [ 0.20 %]\n", - "Report : 8.12e-07 [ 0.00 %]\n", - "Balance : 4.29e-07 [ 0.00 %]\n", - "Adjust : 0.0611149 [ 44.35 %]\n", - "Total : 0.13781 [100.00 %]\n", + "Drift : 0.000325144 [ 0.78 %]\n", + "Velocity : 0.00076384 [ 1.82 %]\n", + "Force : 0.0155488 [ 37.11 %]\n", + "Coefs : 0.00655421 [ 15.64 %]\n", + "Output : 0.000546313 [ 1.30 %]\n", + "Levels : 0.00010663 [ 0.25 %]\n", + "Report : 2.64e-07 [ 0.00 %]\n", + "Balance : 1.61e-07 [ 0.00 %]\n", + "Adjust : 0.0180337 [ 43.05 %]\n", + "Total : 0.0418945 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6628 402 102 8 2 \n", - "1 : 6642 405 85 5 5 \n", - "2 : 6640 401 93 4 4 \n", - "3 : 6674 383 75 6 4 \n", - "4 : 6653 385 90 8 6 \n", - "5 : 6615 421 95 6 5 \n", - "6 : 6643 402 92 3 2 \n", - "7 : 6626 401 98 12 5 \n", - "8 : 6641 415 75 8 3 \n", - "9 : 6633 406 94 4 5 \n", - "10 : 6653 387 86 12 4 \n", - "11 : 6591 458 82 6 5 \n", - "12 : 6645 397 91 8 1 \n", - "13 : 6638 419 89 4 4 \n", + "0 : 6628 415 93 6 0 \n", + "1 : 6657 393 82 9 1 \n", + "2 : 6605 422 102 8 5 \n", + "3 : 6666 387 80 9 0 \n", + "4 : 6603 421 108 3 7 \n", + "5 : 6629 430 73 3 7 \n", + "6 : 6583 451 100 6 2 \n", + "7 : 6613 434 88 5 2 \n", + "8 : 6672 383 76 6 5 \n", + "9 : 6667 387 77 6 5 \n", + "10 : 6640 413 79 7 3 \n", + "11 : 6600 446 88 4 4 \n", + "12 : 6604 439 90 7 2 \n", + "13 : 6663 398 84 4 5 \n", "\n", - "T : 92922 5682 1247 94 55 [100000]\n", + "T : 92830 5819 1220 83 48 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.2%\n", - "--- Adj/Tot = 0.3%\n", - "--- Update = 1.1094e-02 sec\n", - "--- Collate = 8.6170e-05 sec\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.6261e-03 sec\n", + "--- Collate = 2.3028e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.514505e-04 < 6.250000e-03 [26]\n", - "--- Max DT=3.055528e-01 > 1.000000e-01 [70532]\n", + "--- Min DT=1.506188e-04 < 6.250000e-03 [27]\n", + "--- Max DT=3.057302e-01 > 1.000000e-01 [70497]\n", "----------------------------------------------------------------------\n", - " Component | low: 26/100000\n", - " Component | high: 70532/100000\n", + " Component | low: 27/100000\n", + " Component | high: 70497/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=13.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00102927 [ 0.75 %]\n", - "Velocity : 0.00257431 [ 1.88 %]\n", - "Force : 0.0518321 [ 37.82 %]\n", - "Coefs : 0.0192767 [ 14.06 %]\n", - "Output : 0.00140201 [ 1.02 %]\n", - "Levels : 0.000253595 [ 0.19 %]\n", - "Report : 8.69e-07 [ 0.00 %]\n", - "Balance : 3.18e-07 [ 0.00 %]\n", - "Adjust : 0.0606395 [ 44.24 %]\n", - "Total : 0.137057 [100.00 %]\n", + "Drift : 0.000324003 [ 0.76 %]\n", + "Velocity : 0.000752386 [ 1.77 %]\n", + "Force : 0.0157055 [ 36.99 %]\n", + "Coefs : 0.0066008 [ 15.55 %]\n", + "Output : 0.000565397 [ 1.33 %]\n", + "Levels : 0.000112243 [ 0.26 %]\n", + "Report : 4.6e-07 [ 0.00 %]\n", + "Balance : 1.69e-07 [ 0.00 %]\n", + "Adjust : 0.018381 [ 43.29 %]\n", + "Total : 0.0424587 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6626 403 103 7 3 \n", - "1 : 6645 404 83 3 7 \n", - "2 : 6636 404 94 5 3 \n", - "3 : 6670 387 76 5 4 \n", - "4 : 6651 387 91 6 7 \n", - "5 : 6612 423 96 6 5 \n", - "6 : 6641 404 92 3 2 \n", - "7 : 6626 401 98 12 5 \n", - "8 : 6641 416 75 7 3 \n", - "9 : 6631 407 95 4 5 \n", - "10 : 6652 387 87 12 4 \n", - "11 : 6592 458 81 6 5 \n", - "12 : 6646 397 90 9 0 \n", - "13 : 6640 416 91 4 3 \n", + "0 : 6627 415 94 6 0 \n", + "1 : 6658 393 81 8 2 \n", + "2 : 6606 420 102 9 5 \n", + "3 : 6669 384 81 8 0 \n", + "4 : 6604 420 108 4 6 \n", + "5 : 6627 432 73 3 7 \n", + "6 : 6588 447 99 6 2 \n", + "7 : 6614 433 88 5 2 \n", + "8 : 6669 385 77 6 5 \n", + "9 : 6666 390 74 8 4 \n", + "10 : 6641 411 80 7 3 \n", + "11 : 6600 446 87 5 4 \n", + "12 : 6603 441 90 5 3 \n", + "13 : 6658 403 84 5 4 \n", "\n", - "T : 92909 5694 1252 89 56 [100000]\n", + "T : 92830 5820 1218 85 47 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.8%\n", - "--- Adj/Tot = 0.3%\n", - "--- Update = 1.0302e-02 sec\n", - "--- Collate = 5.5046e-05 sec\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.5901e-03 sec\n", + "--- Collate = 2.5657e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.260558e-05 < 6.250000e-03 [30]\n", - "--- Max DT=3.055560e-01 > 1.000000e-01 [70552]\n", + "--- Min DT=4.403811e-04 < 6.250000e-03 [25]\n", + "--- Max DT=3.057378e-01 > 1.000000e-01 [70497]\n", "----------------------------------------------------------------------\n", - " Component | low: 30/100000\n", - " Component | high: 70552/100000\n", + " Component | low: 25/100000\n", + " Component | high: 70497/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=13.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00101309 [ 0.78 %]\n", - "Velocity : 0.0027683 [ 2.13 %]\n", - "Force : 0.0469341 [ 36.17 %]\n", - "Coefs : 0.0193937 [ 14.95 %]\n", - "Output : 0.00139794 [ 1.08 %]\n", - "Levels : 0.000284658 [ 0.22 %]\n", - "Report : 5.9e-07 [ 0.00 %]\n", - "Balance : 3.08e-07 [ 0.00 %]\n", - "Adjust : 0.0579062 [ 44.63 %]\n", - "Total : 0.129748 [100.00 %]\n", + "Drift : 0.000330677 [ 0.78 %]\n", + "Velocity : 0.000772835 [ 1.82 %]\n", + "Force : 0.0157044 [ 36.91 %]\n", + "Coefs : 0.00655278 [ 15.40 %]\n", + "Output : 0.000587043 [ 1.38 %]\n", + "Levels : 0.000131548 [ 0.31 %]\n", + "Report : 2.85e-07 [ 0.00 %]\n", + "Balance : 1.61e-07 [ 0.00 %]\n", + "Adjust : 0.0184566 [ 43.37 %]\n", + "Total : 0.0425524 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6625 404 102 7 4 \n", - "1 : 6641 410 82 2 7 \n", - "2 : 6637 404 94 4 3 \n", - "3 : 6671 387 75 5 4 \n", - "4 : 6648 390 91 6 7 \n", - "5 : 6610 424 97 5 6 \n", - "6 : 6640 405 92 3 2 \n", - "7 : 6620 405 101 12 4 \n", - "8 : 6642 415 75 7 3 \n", - "9 : 6634 408 91 5 4 \n", - "10 : 6647 392 88 11 4 \n", - "11 : 6592 455 85 5 5 \n", - "12 : 6647 398 88 8 1 \n", - "13 : 6640 416 92 3 3 \n", + "0 : 6626 417 93 6 0 \n", + "1 : 6657 394 82 6 3 \n", + "2 : 6609 417 103 8 5 \n", + "3 : 6668 387 79 7 1 \n", + "4 : 6605 418 108 5 6 \n", + "5 : 6627 431 73 5 6 \n", + "6 : 6587 448 99 6 2 \n", + "7 : 6614 434 88 4 2 \n", + "8 : 6670 384 77 6 5 \n", + "9 : 6668 388 74 7 5 \n", + "10 : 6641 411 80 5 5 \n", + "11 : 6600 448 85 5 4 \n", + "12 : 6603 441 90 5 3 \n", + "13 : 6658 404 83 5 4 \n", "\n", - "T : 92894 5713 1253 83 57 [100000]\n", + "T : 92833 5822 1214 80 51 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.1%\n", - "--- Adj/Tot = 0.4%\n", - "--- Update = 1.0699e-02 sec\n", - "--- Collate = 5.6385e-05 sec\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.6267e-03 sec\n", + "--- Collate = 2.3627e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.047369e-04 < 6.250000e-03 [33]\n", - "--- Max DT=3.055594e-01 > 1.000000e-01 [70577]\n", + "--- Min DT=8.101279e-05 < 6.250000e-03 [22]\n", + "--- Max DT=3.057458e-01 > 1.000000e-01 [70490]\n", "----------------------------------------------------------------------\n", - " Component | low: 33/100000\n", - " Component | high: 70577/100000\n", + " Component | low: 22/100000\n", + " Component | high: 70490/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=13.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00102144 [ 0.80 %]\n", - "Velocity : 0.00256825 [ 2.02 %]\n", - "Force : 0.0463626 [ 36.52 %]\n", - "Coefs : 0.0173181 [ 13.64 %]\n", - "Output : 0.00129703 [ 1.02 %]\n", - "Levels : 0.000222332 [ 0.18 %]\n", - "Report : 7.88e-07 [ 0.00 %]\n", - "Balance : 2.99e-07 [ 0.00 %]\n", - "Adjust : 0.058111 [ 45.77 %]\n", - "Total : 0.12695 [100.00 %]\n", + "Drift : 0.000319854 [ 0.76 %]\n", + "Velocity : 0.000735884 [ 1.74 %]\n", + "Force : 0.015745 [ 37.25 %]\n", + "Coefs : 0.00654819 [ 15.49 %]\n", + "Output : 0.000544504 [ 1.29 %]\n", + "Levels : 0.00011275 [ 0.27 %]\n", + "Report : 2.34e-07 [ 0.00 %]\n", + "Balance : 1.62e-07 [ 0.00 %]\n", + "Adjust : 0.0182506 [ 43.17 %]\n", + "Total : 0.0422732 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6624 405 101 9 3 \n", - "1 : 6642 408 82 4 6 \n", - "2 : 6637 403 96 3 3 \n", - "3 : 6672 386 74 5 5 \n", - "4 : 6648 393 89 5 7 \n", - "5 : 6610 423 99 4 6 \n", - "6 : 6641 405 89 5 2 \n", - "7 : 6618 412 97 12 3 \n", - "8 : 6641 417 74 6 4 \n", - "9 : 6635 409 88 6 4 \n", - "10 : 6647 394 86 10 5 \n", - "11 : 6590 455 87 5 5 \n", - "12 : 6644 399 90 7 2 \n", - "13 : 6636 419 92 4 3 \n", + "0 : 6628 415 92 7 0 \n", + "1 : 6656 395 82 4 5 \n", + "2 : 6607 421 102 7 5 \n", + "3 : 6670 385 79 7 1 \n", + "4 : 6603 421 106 6 6 \n", + "5 : 6629 429 73 6 5 \n", + "6 : 6589 446 97 9 1 \n", + "7 : 6613 435 87 6 1 \n", + "8 : 6668 387 75 8 4 \n", + "9 : 6665 391 74 9 3 \n", + "10 : 6643 408 81 5 5 \n", + "11 : 6601 447 85 6 3 \n", + "12 : 6601 443 90 4 4 \n", + "13 : 6658 403 84 5 4 \n", "\n", - "T : 92885 5728 1244 85 58 [100000]\n", + "T : 92831 5826 1207 89 47 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.3%\n", - "--- Adj/Tot = 0.3%\n", - "--- Update = 1.1603e-02 sec\n", - "--- Collate = 6.3867e-05 sec\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.6478e-03 sec\n", + "--- Collate = 2.3706e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.614489e-05 < 6.250000e-03 [29]\n", - "--- Max DT=3.055623e-01 > 1.000000e-01 [70580]\n", + "--- Min DT=1.545287e-04 < 6.250000e-03 [19]\n", + "--- Max DT=3.057539e-01 > 1.000000e-01 [70505]\n", "----------------------------------------------------------------------\n", - " Component | low: 29/100000\n", - " Component | high: 70580/100000\n", + " Component | low: 19/100000\n", + " Component | high: 70505/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=14] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00105868 [ 0.76 %]\n", - "Velocity : 0.0026629 [ 1.92 %]\n", - "Force : 0.0487324 [ 35.17 %]\n", - "Coefs : 0.0177726 [ 12.83 %]\n", - "Output : 0.00803085 [ 5.80 %]\n", - "Levels : 0.000219675 [ 0.16 %]\n", - "Report : 1.573e-06 [ 0.00 %]\n", - "Balance : 9.71e-07 [ 0.00 %]\n", - "Adjust : 0.0600172 [ 43.32 %]\n", - "Total : 0.138546 [100.00 %]\n", + "Drift : 0.000320667 [ 0.73 %]\n", + "Velocity : 0.000762932 [ 1.73 %]\n", + "Force : 0.0153964 [ 34.98 %]\n", + "Coefs : 0.00654337 [ 14.87 %]\n", + "Output : 0.00270975 [ 6.16 %]\n", + "Levels : 0.00011372 [ 0.26 %]\n", + "Report : 3.91e-07 [ 0.00 %]\n", + "Balance : 2.57e-07 [ 0.00 %]\n", + "Adjust : 0.0181459 [ 41.23 %]\n", + "Total : 0.0440099 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6625 404 101 9 3 \n", - "1 : 6643 411 76 6 6 \n", - "2 : 6637 405 93 6 1 \n", - "3 : 6671 387 73 6 5 \n", - "4 : 6647 394 88 7 6 \n", - "5 : 6607 425 100 6 4 \n", - "6 : 6640 405 90 5 2 \n", - "7 : 6615 412 104 9 2 \n", - "8 : 6641 418 73 7 3 \n", - "9 : 6637 406 88 7 4 \n", - "10 : 6646 396 85 9 6 \n", - "11 : 6584 462 86 5 5 \n", - "12 : 6637 407 89 7 2 \n", - "13 : 6635 422 89 6 2 \n", + "0 : 6630 413 92 7 0 \n", + "1 : 6657 394 82 4 5 \n", + "2 : 6607 423 99 8 5 \n", + "3 : 6672 382 79 6 3 \n", + "4 : 6603 421 105 6 7 \n", + "5 : 6632 425 73 6 6 \n", + "6 : 6583 453 95 9 2 \n", + "7 : 6609 438 84 10 1 \n", + "8 : 6667 388 75 7 5 \n", + "9 : 6665 391 75 8 3 \n", + "10 : 6645 405 82 4 6 \n", + "11 : 6602 446 85 5 4 \n", + "12 : 6602 443 89 4 4 \n", + "13 : 6659 403 82 6 4 \n", "\n", - "T : 92865 5754 1235 95 51 [100000]\n", + "T : 92833 5825 1197 90 55 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.0%\n", - "--- Adj/Tot = 0.3%\n", - "--- Update = 1.1812e-02 sec\n", - "--- Collate = 7.1802e-05 sec\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.6413e-03 sec\n", + "--- Collate = 2.4474e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.139413e-04 < 6.250000e-03 [29]\n", - "--- Max DT=3.055660e-01 > 1.000000e-01 [70588]\n", + "--- Min DT=1.071311e-04 < 6.250000e-03 [23]\n", + "--- Max DT=3.057624e-01 > 1.000000e-01 [70516]\n", "----------------------------------------------------------------------\n", - " Component | low: 29/100000\n", - " Component | high: 70588/100000\n", + " Component | low: 23/100000\n", + " Component | high: 70516/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=14.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000676037 [ 0.49 %]\n", - "Velocity : 0.00211542 [ 1.54 %]\n", - "Force : 0.0506883 [ 36.83 %]\n", - "Coefs : 0.0204458 [ 14.86 %]\n", - "Output : 0.00139454 [ 1.01 %]\n", - "Levels : 0.000263362 [ 0.19 %]\n", - "Report : 1.242e-06 [ 0.00 %]\n", - "Balance : 3.66e-07 [ 0.00 %]\n", - "Adjust : 0.0619852 [ 45.04 %]\n", - "Total : 0.137619 [100.00 %]\n", + "Drift : 0.000312679 [ 0.76 %]\n", + "Velocity : 0.000725416 [ 1.76 %]\n", + "Force : 0.0149989 [ 36.30 %]\n", + "Coefs : 0.00657819 [ 15.92 %]\n", + "Output : 0.000535403 [ 1.30 %]\n", + "Levels : 0.000121112 [ 0.29 %]\n", + "Report : 2.51e-07 [ 0.00 %]\n", + "Balance : 1.66e-07 [ 0.00 %]\n", + "Adjust : 0.0180305 [ 43.64 %]\n", + "Total : 0.0413182 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6627 400 103 8 4 \n", - "1 : 6639 413 78 6 6 \n", - "2 : 6639 403 93 5 2 \n", - "3 : 6670 388 73 6 5 \n", - "4 : 6650 393 86 7 6 \n", - "5 : 6612 421 99 6 4 \n", - "6 : 6642 403 90 6 1 \n", - "7 : 6611 416 104 9 2 \n", - "8 : 6641 420 71 7 3 \n", - "9 : 6636 405 91 6 4 \n", - "10 : 6651 395 81 9 6 \n", - "11 : 6584 462 86 6 4 \n", - "12 : 6637 408 89 6 2 \n", - "13 : 6635 420 91 5 3 \n", + "0 : 6631 413 91 7 0 \n", + "1 : 6655 396 81 4 6 \n", + "2 : 6608 422 99 9 4 \n", + "3 : 6672 382 79 5 4 \n", + "4 : 6601 425 103 7 6 \n", + "5 : 6634 422 74 7 5 \n", + "6 : 6581 458 92 9 2 \n", + "7 : 6607 440 83 11 1 \n", + "8 : 6670 385 75 7 5 \n", + "9 : 6663 391 76 9 3 \n", + "10 : 6643 406 83 5 5 \n", + "11 : 6602 446 85 6 3 \n", + "12 : 6603 444 87 4 4 \n", + "13 : 6656 404 86 5 3 \n", "\n", - "T : 92874 5747 1235 92 52 [100000]\n", + "T : 92826 5834 1194 95 51 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.7%\n", - "--- Adj/Tot = 0.3%\n", - "--- Update = 1.2375e-02 sec\n", - "--- Collate = 8.6602e-05 sec\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.5894e-03 sec\n", + "--- Collate = 2.5995e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.823981e-05 < 6.250000e-03 [26]\n", - "--- Max DT=3.055698e-01 > 1.000000e-01 [70595]\n", + "--- Min DT=3.971525e-06 < 6.250000e-03 [23]\n", + "--- Max DT=3.057702e-01 > 1.000000e-01 [70516]\n", "----------------------------------------------------------------------\n", - " Component | low: 26/100000\n", - " Component | high: 70595/100000\n", + " Component | low: 23/100000\n", + " Component | high: 70516/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=14.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00102782 [ 0.78 %]\n", - "Velocity : 0.00248346 [ 1.88 %]\n", - "Force : 0.0479664 [ 36.31 %]\n", - "Coefs : 0.0190178 [ 14.40 %]\n", - "Output : 0.00140509 [ 1.06 %]\n", - "Levels : 0.000231662 [ 0.18 %]\n", - "Report : 8.19e-07 [ 0.00 %]\n", - "Balance : 3.23e-07 [ 0.00 %]\n", - "Adjust : 0.0599082 [ 45.35 %]\n", - "Total : 0.132088 [100.00 %]\n", + "Drift : 0.000342211 [ 0.83 %]\n", + "Velocity : 0.000759494 [ 1.84 %]\n", + "Force : 0.0150747 [ 36.52 %]\n", + "Coefs : 0.00649305 [ 15.73 %]\n", + "Output : 0.000528392 [ 1.28 %]\n", + "Levels : 0.0001073 [ 0.26 %]\n", + "Report : 1.93e-07 [ 0.00 %]\n", + "Balance : 1.63e-07 [ 0.00 %]\n", + "Adjust : 0.017955 [ 43.50 %]\n", + "Total : 0.0412758 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6631 395 104 8 4 \n", - "1 : 6641 412 78 5 6 \n", - "2 : 6636 407 89 8 2 \n", - "3 : 6667 391 74 6 4 \n", - "4 : 6651 391 87 7 6 \n", - "5 : 6608 427 96 6 5 \n", - "6 : 6641 406 89 5 1 \n", - "7 : 6608 421 102 10 1 \n", - "8 : 6641 421 70 7 3 \n", - "9 : 6633 409 91 5 4 \n", - "10 : 6647 398 81 13 3 \n", - "11 : 6582 462 88 8 2 \n", - "12 : 6641 404 90 5 2 \n", - "13 : 6632 422 92 5 3 \n", + "0 : 6631 413 91 6 1 \n", + "1 : 6657 394 81 4 6 \n", + "2 : 6608 423 97 10 4 \n", + "3 : 6672 382 79 6 3 \n", + "4 : 6601 424 103 7 7 \n", + "5 : 6635 422 72 10 3 \n", + "6 : 6579 459 94 8 2 \n", + "7 : 6603 443 84 11 1 \n", + "8 : 6667 389 74 7 5 \n", + "9 : 6657 397 77 7 4 \n", + "10 : 6646 402 84 4 6 \n", + "11 : 6599 451 82 8 2 \n", + "12 : 6604 444 86 5 3 \n", + "13 : 6654 405 89 4 2 \n", "\n", - "T : 92859 5766 1231 98 46 [100000]\n", + "T : 92813 5848 1193 97 49 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.0%\n", - "--- Adj/Tot = 0.3%\n", - "--- Update = 1.0464e-02 sec\n", - "--- Collate = 7.2999e-05 sec\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.6376e-03 sec\n", + "--- Collate = 2.4558e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.152872e-04 < 6.250000e-03 [22]\n", - "--- Max DT=3.055732e-01 > 1.000000e-01 [70613]\n", + "--- Min DT=1.782560e-05 < 6.250000e-03 [22]\n", + "--- Max DT=3.057785e-01 > 1.000000e-01 [70529]\n", "----------------------------------------------------------------------\n", " Component | low: 22/100000\n", - " Component | high: 70613/100000\n", + " Component | high: 70529/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=14.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00099864 [ 0.80 %]\n", - "Velocity : 0.00261292 [ 2.09 %]\n", - "Force : 0.0458842 [ 36.67 %]\n", - "Coefs : 0.0168459 [ 13.46 %]\n", - "Output : 0.00133076 [ 1.06 %]\n", - "Levels : 0.000278078 [ 0.22 %]\n", - "Report : 8.1e-07 [ 0.00 %]\n", - "Balance : 2.98e-07 [ 0.00 %]\n", - "Adjust : 0.0571423 [ 45.66 %]\n", - "Total : 0.125142 [100.00 %]\n", + "Drift : 0.000323898 [ 0.78 %]\n", + "Velocity : 0.000746388 [ 1.79 %]\n", + "Force : 0.0152058 [ 36.41 %]\n", + "Coefs : 0.00655833 [ 15.70 %]\n", + "Output : 0.000542705 [ 1.30 %]\n", + "Levels : 0.000144426 [ 0.35 %]\n", + "Report : 2.25e-07 [ 0.00 %]\n", + "Balance : 1.64e-07 [ 0.00 %]\n", + "Adjust : 0.0182238 [ 43.64 %]\n", + "Total : 0.0417622 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6630 397 102 9 4 \n", - "1 : 6637 414 80 5 6 \n", - "2 : 6640 403 89 8 2 \n", - "3 : 6663 397 70 8 4 \n", - "4 : 6649 390 90 7 6 \n", - "5 : 6610 424 97 7 4 \n", - "6 : 6641 404 91 5 1 \n", - "7 : 6605 425 101 10 1 \n", - "8 : 6643 417 72 7 3 \n", - "9 : 6630 411 93 5 3 \n", - "10 : 6646 398 83 12 3 \n", - "11 : 6583 459 89 9 2 \n", - "12 : 6642 402 92 4 2 \n", - "13 : 6630 421 93 7 3 \n", + "0 : 6629 415 91 5 2 \n", + "1 : 6656 393 84 3 6 \n", + "2 : 6608 423 97 12 2 \n", + "3 : 6666 388 80 5 3 \n", + "4 : 6601 424 103 7 7 \n", + "5 : 6636 422 70 11 3 \n", + "6 : 6581 457 94 7 3 \n", + "7 : 6608 439 84 10 1 \n", + "8 : 6668 388 74 7 5 \n", + "9 : 6658 396 79 5 4 \n", + "10 : 6647 403 81 6 5 \n", + "11 : 6596 453 83 9 1 \n", + "12 : 6604 443 86 6 3 \n", + "13 : 6653 405 88 6 2 \n", "\n", - "T : 92849 5762 1242 103 44 [100000]\n", + "T : 92811 5849 1194 99 47 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.3%\n", - "--- Adj/Tot = 0.3%\n", - "--- Update = 1.1929e-02 sec\n", - "--- Collate = 7.9541e-05 sec\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.6030e-03 sec\n", + "--- Collate = 2.4408e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.438527e-05 < 6.250000e-03 [16]\n", - "--- Max DT=3.055781e-01 > 1.000000e-01 [70604]\n", + "--- Min DT=1.124123e-04 < 6.250000e-03 [23]\n", + "--- Max DT=3.057872e-01 > 1.000000e-01 [70541]\n", "----------------------------------------------------------------------\n", - " Component | low: 16/100000\n", - " Component | high: 70604/100000\n", + " Component | low: 23/100000\n", + " Component | high: 70541/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=14.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00107854 [ 0.79 %]\n", - "Velocity : 0.00255834 [ 1.87 %]\n", - "Force : 0.0525227 [ 38.32 %]\n", - "Coefs : 0.0183449 [ 13.38 %]\n", - "Output : 0.00127459 [ 0.93 %]\n", - "Levels : 0.000254522 [ 0.19 %]\n", - "Report : 8.46e-07 [ 0.00 %]\n", - "Balance : 3.27e-07 [ 0.00 %]\n", - "Adjust : 0.0609626 [ 44.48 %]\n", - "Total : 0.137064 [100.00 %]\n", + "Drift : 0.000321714 [ 0.77 %]\n", + "Velocity : 0.000779915 [ 1.86 %]\n", + "Force : 0.0154537 [ 36.79 %]\n", + "Coefs : 0.00657957 [ 15.66 %]\n", + "Output : 0.000567835 [ 1.35 %]\n", + "Levels : 0.000116021 [ 0.28 %]\n", + "Report : 2.82e-07 [ 0.00 %]\n", + "Balance : 1.65e-07 [ 0.00 %]\n", + "Adjust : 0.0181656 [ 43.25 %]\n", + "Total : 0.0420017 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6624 402 104 9 3 \n", - "1 : 6634 417 81 5 5 \n", - "2 : 6639 404 89 8 2 \n", - "3 : 6663 397 70 8 4 \n", - "4 : 6648 390 91 7 6 \n", - "5 : 6602 432 96 8 4 \n", - "6 : 6638 407 91 4 2 \n", - "7 : 6606 424 101 9 2 \n", - "8 : 6642 419 71 8 2 \n", - "9 : 6631 411 93 4 3 \n", - "10 : 6644 400 82 14 2 \n", - "11 : 6578 463 89 10 2 \n", - "12 : 6640 405 90 5 2 \n", - "13 : 6623 426 94 9 2 \n", + "0 : 6628 414 93 5 2 \n", + "1 : 6654 395 84 4 5 \n", + "2 : 6608 423 96 14 1 \n", + "3 : 6663 391 80 5 3 \n", + "4 : 6601 424 104 6 7 \n", + "5 : 6638 419 72 12 1 \n", + "6 : 6578 460 94 7 3 \n", + "7 : 6604 443 84 8 3 \n", + "8 : 6663 393 74 7 5 \n", + "9 : 6656 398 79 5 4 \n", + "10 : 6646 403 82 7 4 \n", + "11 : 6595 454 84 8 1 \n", + "12 : 6605 443 85 8 1 \n", + "13 : 6653 407 86 6 2 \n", "\n", - "T : 92812 5797 1242 108 41 [100000]\n", + "T : 92792 5867 1197 102 42 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.0%\n", - "--- Adj/Tot = 0.3%\n", - "--- Update = 1.1434e-02 sec\n", - "--- Collate = 8.3179e-05 sec\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.5842e-03 sec\n", + "--- Collate = 2.4602e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.364512e-05 < 6.250000e-03 [16]\n", - "--- Max DT=3.055824e-01 > 1.000000e-01 [70602]\n", + "--- Min DT=1.098409e-04 < 6.250000e-03 [26]\n", + "--- Max DT=3.057962e-01 > 1.000000e-01 [70549]\n", "----------------------------------------------------------------------\n", - " Component | low: 16/100000\n", - " Component | high: 70602/100000\n", + " Component | low: 26/100000\n", + " Component | high: 70549/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=14.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00103353 [ 0.76 %]\n", - "Velocity : 0.00210945 [ 1.54 %]\n", - "Force : 0.0505087 [ 36.95 %]\n", - "Coefs : 0.01992 [ 14.57 %]\n", - "Output : 0.00141634 [ 1.04 %]\n", - "Levels : 0.000258721 [ 0.19 %]\n", - "Report : 9.54e-07 [ 0.00 %]\n", - "Balance : 4.86e-07 [ 0.00 %]\n", - "Adjust : 0.0613886 [ 44.91 %]\n", - "Total : 0.136689 [100.00 %]\n", + "Drift : 0.000325755 [ 0.78 %]\n", + "Velocity : 0.000748611 [ 1.79 %]\n", + "Force : 0.0152182 [ 36.37 %]\n", + "Coefs : 0.00657998 [ 15.73 %]\n", + "Output : 0.000577744 [ 1.38 %]\n", + "Levels : 0.000121013 [ 0.29 %]\n", + "Report : 3.03e-07 [ 0.00 %]\n", + "Balance : 1.63e-07 [ 0.00 %]\n", + "Adjust : 0.0182528 [ 43.62 %]\n", + "Total : 0.0418417 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6622 402 104 11 3 \n", - "1 : 6631 418 83 5 5 \n", - "2 : 6639 405 88 7 3 \n", - "3 : 6663 396 72 8 3 \n", - "4 : 6648 390 91 8 5 \n", - "5 : 6603 431 96 8 4 \n", - "6 : 6641 406 89 3 3 \n", - "7 : 6604 425 100 11 2 \n", - "8 : 6645 417 70 7 3 \n", - "9 : 6626 417 92 4 3 \n", - "10 : 6644 399 84 13 2 \n", - "11 : 6577 463 90 9 3 \n", - "12 : 6637 408 90 5 2 \n", - "13 : 6624 425 96 8 1 \n", + "0 : 6629 414 92 5 2 \n", + "1 : 6654 394 85 4 5 \n", + "2 : 6607 423 98 12 2 \n", + "3 : 6667 386 81 6 2 \n", + "4 : 6603 418 108 7 6 \n", + "5 : 6637 418 76 9 2 \n", + "6 : 6580 456 96 8 2 \n", + "7 : 6606 439 85 8 4 \n", + "8 : 6662 393 76 6 5 \n", + "9 : 6658 394 80 7 3 \n", + "10 : 6646 403 82 7 4 \n", + "11 : 6598 451 83 9 1 \n", + "12 : 6597 450 86 7 2 \n", + "13 : 6652 409 85 8 0 \n", "\n", - "T : 92804 5802 1245 107 42 [100000]\n", + "T : 92796 5848 1213 103 40 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.3%\n", - "--- Adj/Tot = 0.3%\n", - "--- Update = 9.8841e-03 sec\n", - "--- Collate = 8.7214e-05 sec\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.6290e-03 sec\n", + "--- Collate = 2.6398e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.085505e-04 < 6.250000e-03 [12]\n", - "--- Max DT=3.055880e-01 > 1.000000e-01 [70614]\n", + "--- Min DT=9.408357e-05 < 6.250000e-03 [26]\n", + "--- Max DT=3.058052e-01 > 1.000000e-01 [70546]\n", "----------------------------------------------------------------------\n", - " Component | low: 12/100000\n", - " Component | high: 70614/100000\n", + " Component | low: 26/100000\n", + " Component | high: 70546/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=14.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00100354 [ 0.75 %]\n", - "Velocity : 0.00252083 [ 1.89 %]\n", - "Force : 0.0510666 [ 38.24 %]\n", - "Coefs : 0.0200852 [ 15.04 %]\n", - "Output : 0.00128457 [ 0.96 %]\n", - "Levels : 0.000231887 [ 0.17 %]\n", - "Report : 8.11e-07 [ 0.00 %]\n", - "Balance : 3.27e-07 [ 0.00 %]\n", - "Adjust : 0.0573134 [ 42.91 %]\n", - "Total : 0.133553 [100.00 %]\n", + "Drift : 0.000323548 [ 0.76 %]\n", + "Velocity : 0.000754291 [ 1.78 %]\n", + "Force : 0.0158418 [ 37.35 %]\n", + "Coefs : 0.00664352 [ 15.66 %]\n", + "Output : 0.000561627 [ 1.32 %]\n", + "Levels : 0.000117317 [ 0.28 %]\n", + "Report : 3.21e-07 [ 0.00 %]\n", + "Balance : 1.47e-07 [ 0.00 %]\n", + "Adjust : 0.018156 [ 42.80 %]\n", + "Total : 0.0424163 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6621 401 107 10 3 \n", - "1 : 6632 417 84 4 5 \n", - "2 : 6637 408 88 7 2 \n", - "3 : 6665 394 72 9 2 \n", - "4 : 6644 393 91 11 3 \n", - "5 : 6604 432 94 6 6 \n", - "6 : 6636 409 91 3 3 \n", - "7 : 6602 429 97 12 2 \n", - "8 : 6646 417 68 8 3 \n", - "9 : 6630 412 93 5 2 \n", - "10 : 6646 397 86 11 2 \n", - "11 : 6575 466 91 6 4 \n", - "12 : 6637 411 86 4 4 \n", - "13 : 6619 429 96 9 1 \n", + "0 : 6630 412 93 5 2 \n", + "1 : 6653 396 84 4 5 \n", + "2 : 6606 423 100 10 3 \n", + "3 : 6663 390 80 6 3 \n", + "4 : 6603 418 108 5 8 \n", + "5 : 6637 418 77 9 1 \n", + "6 : 6579 456 97 8 2 \n", + "7 : 6604 437 88 10 3 \n", + "8 : 6662 393 76 5 6 \n", + "9 : 6658 395 78 7 4 \n", + "10 : 6646 404 81 6 5 \n", + "11 : 6598 448 84 11 1 \n", + "12 : 6596 452 85 7 2 \n", + "13 : 6653 408 85 8 0 \n", "\n", - "T : 92794 5815 1244 105 42 [100000]\n", + "T : 92788 5850 1216 101 45 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.2%\n", - "--- Adj/Tot = 0.3%\n", - "--- Update = 1.0659e-02 sec\n", - "--- Collate = 1.1946e-04 sec\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.6552e-03 sec\n", + "--- Collate = 3.0010e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.226063e-04 < 6.250000e-03 [14]\n", - "--- Max DT=3.055916e-01 > 1.000000e-01 [70614]\n", + "--- Min DT=2.904558e-05 < 6.250000e-03 [22]\n", + "--- Max DT=3.058144e-01 > 1.000000e-01 [70546]\n", "----------------------------------------------------------------------\n", - " Component | low: 14/100000\n", - " Component | high: 70614/100000\n", + " Component | low: 22/100000\n", + " Component | high: 70546/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=14.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00132449 [ 1.00 %]\n", - "Velocity : 0.00281987 [ 2.14 %]\n", - "Force : 0.0468926 [ 35.55 %]\n", - "Coefs : 0.0177154 [ 13.43 %]\n", - "Output : 0.00131773 [ 1.00 %]\n", - "Levels : 0.000282097 [ 0.21 %]\n", - "Report : 7.87e-07 [ 0.00 %]\n", - "Balance : 3.07e-07 [ 0.00 %]\n", - "Adjust : 0.061512 [ 46.63 %]\n", - "Total : 0.131912 [100.00 %]\n", + "Drift : 0.000337947 [ 0.80 %]\n", + "Velocity : 0.000792242 [ 1.88 %]\n", + "Force : 0.0156272 [ 37.00 %]\n", + "Coefs : 0.00656436 [ 15.54 %]\n", + "Output : 0.000557211 [ 1.32 %]\n", + "Levels : 0.000144777 [ 0.34 %]\n", + "Report : 2.04e-07 [ 0.00 %]\n", + "Balance : 1.66e-07 [ 0.00 %]\n", + "Adjust : 0.0181906 [ 43.07 %]\n", + "Total : 0.0422314 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6624 397 108 10 3 \n", - "1 : 6632 417 84 7 2 \n", - "2 : 6639 406 89 6 2 \n", - "3 : 6660 398 73 7 4 \n", - "4 : 6641 397 91 11 2 \n", - "5 : 6600 435 93 9 5 \n", - "6 : 6636 409 91 4 2 \n", - "7 : 6602 430 96 12 2 \n", - "8 : 6646 416 69 7 4 \n", - "9 : 6630 414 88 7 3 \n", - "10 : 6648 395 86 10 3 \n", - "11 : 6576 467 89 7 3 \n", - "12 : 6636 410 87 4 5 \n", - "13 : 6621 425 98 7 3 \n", + "0 : 6628 416 89 7 2 \n", + "1 : 6653 396 84 3 6 \n", + "2 : 6608 422 99 9 4 \n", + "3 : 6664 387 82 6 3 \n", + "4 : 6605 417 107 6 7 \n", + "5 : 6635 420 77 9 1 \n", + "6 : 6582 453 98 7 2 \n", + "7 : 6606 435 89 9 3 \n", + "8 : 6659 396 76 3 8 \n", + "9 : 6656 398 76 8 4 \n", + "10 : 6645 406 80 4 7 \n", + "11 : 6601 445 86 9 1 \n", + "12 : 6596 452 85 7 2 \n", + "13 : 6652 410 84 7 1 \n", "\n", - "T : 92791 5816 1242 108 43 [100000]\n", + "T : 92790 5853 1212 94 51 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.0%\n", - "--- Adj/Tot = 0.3%\n", - "--- Update = 1.1304e-02 sec\n", - "--- Collate = 7.4774e-05 sec\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.6282e-03 sec\n", + "--- Collate = 2.4807e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.081291e-04 < 6.250000e-03 [21]\n", - "--- Max DT=3.055969e-01 > 1.000000e-01 [70623]\n", + "--- Min DT=1.620324e-04 < 6.250000e-03 [21]\n", + "--- Max DT=3.058240e-01 > 1.000000e-01 [70546]\n", "----------------------------------------------------------------------\n", " Component | low: 21/100000\n", - " Component | high: 70623/100000\n", + " Component | high: 70546/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=14.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000889058 [ 0.67 %]\n", - "Velocity : 0.00252871 [ 1.90 %]\n", - "Force : 0.049732 [ 37.43 %]\n", - "Coefs : 0.0175801 [ 13.23 %]\n", - "Output : 0.00140672 [ 1.06 %]\n", - "Levels : 0.000253652 [ 0.19 %]\n", - "Report : 8.53e-07 [ 0.00 %]\n", - "Balance : 3.05e-07 [ 0.00 %]\n", - "Adjust : 0.0604377 [ 45.48 %]\n", - "Total : 0.132879 [100.00 %]\n", + "Drift : 0.000324836 [ 0.77 %]\n", + "Velocity : 0.00074859 [ 1.78 %]\n", + "Force : 0.0156159 [ 37.12 %]\n", + "Coefs : 0.00663408 [ 15.77 %]\n", + "Output : 0.000533216 [ 1.27 %]\n", + "Levels : 0.000111581 [ 0.27 %]\n", + "Report : 1.69e-07 [ 0.00 %]\n", + "Balance : 1.69e-07 [ 0.00 %]\n", + "Adjust : 0.0180839 [ 42.99 %]\n", + "Total : 0.0420689 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6620 401 107 10 4 \n", - "1 : 6631 414 88 7 2 \n", - "2 : 6639 407 88 6 2 \n", - "3 : 6655 402 74 7 4 \n", - "4 : 6643 391 95 11 2 \n", - "5 : 6596 436 95 10 5 \n", - "6 : 6633 412 91 4 2 \n", - "7 : 6599 435 94 11 3 \n", - "8 : 6643 418 70 8 3 \n", - "9 : 6635 408 90 7 2 \n", - "10 : 6642 400 88 9 3 \n", - "11 : 6577 466 89 6 4 \n", - "12 : 6639 406 88 5 4 \n", - "13 : 6620 427 97 8 2 \n", + "0 : 6625 417 92 6 2 \n", + "1 : 6652 397 84 3 6 \n", + "2 : 6608 422 100 7 5 \n", + "3 : 6665 384 84 6 3 \n", + "4 : 6605 417 106 8 6 \n", + "5 : 6633 422 78 8 1 \n", + "6 : 6581 455 97 7 2 \n", + "7 : 6607 431 92 9 3 \n", + "8 : 6657 399 75 3 8 \n", + "9 : 6655 399 76 7 5 \n", + "10 : 6643 409 77 7 6 \n", + "11 : 6603 442 88 7 2 \n", + "12 : 6598 450 84 8 2 \n", + "13 : 6652 410 84 7 1 \n", "\n", - "T : 92772 5823 1254 109 42 [100000]\n", + "T : 92784 5854 1217 93 52 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.1%\n", - "--- Adj/Tot = 0.3%\n", - "--- Update = 1.1202e-02 sec\n", - "--- Collate = 6.6606e-05 sec\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.6611e-03 sec\n", + "--- Collate = 2.6161e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.057230e-04 < 6.250000e-03 [19]\n", - "--- Max DT=3.056028e-01 > 1.000000e-01 [70625]\n", + "--- Min DT=2.626607e-04 < 6.250000e-03 [20]\n", + "--- Max DT=3.058335e-01 > 1.000000e-01 [70558]\n", "----------------------------------------------------------------------\n", - " Component | low: 19/100000\n", - " Component | high: 70625/100000\n", + " Component | low: 20/100000\n", + " Component | high: 70558/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=14.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000956544 [ 0.70 %]\n", - "Velocity : 0.00263412 [ 1.92 %]\n", - "Force : 0.0517111 [ 37.67 %]\n", - "Coefs : 0.0194734 [ 14.18 %]\n", - "Output : 0.00139727 [ 1.02 %]\n", - "Levels : 0.000224056 [ 0.16 %]\n", - "Report : 7.55e-07 [ 0.00 %]\n", - "Balance : 6.36e-07 [ 0.00 %]\n", - "Adjust : 0.0608403 [ 44.31 %]\n", - "Total : 0.137291 [100.00 %]\n", + "Drift : 0.00033044 [ 0.78 %]\n", + "Velocity : 0.000739092 [ 1.75 %]\n", + "Force : 0.0154233 [ 36.55 %]\n", + "Coefs : 0.00656563 [ 15.56 %]\n", + "Output : 0.00056303 [ 1.33 %]\n", + "Levels : 0.000111858 [ 0.27 %]\n", + "Report : 3.76e-07 [ 0.00 %]\n", + "Balance : 1.58e-07 [ 0.00 %]\n", + "Adjust : 0.0184499 [ 43.72 %]\n", + "Total : 0.0422006 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6623 398 106 11 4 \n", - "1 : 6628 414 91 7 2 \n", - "2 : 6640 403 91 6 2 \n", - "3 : 6653 403 75 7 4 \n", - "4 : 6641 393 96 10 2 \n", - "5 : 6597 436 95 9 5 \n", - "6 : 6632 412 91 5 2 \n", - "7 : 6595 440 93 10 4 \n", - "8 : 6643 417 71 9 2 \n", - "9 : 6634 407 91 9 1 \n", - "10 : 6641 402 87 7 5 \n", - "11 : 6574 468 90 6 4 \n", - "12 : 6636 411 86 2 7 \n", - "13 : 6616 432 97 7 2 \n", + "0 : 6626 416 91 7 2 \n", + "1 : 6657 393 83 3 6 \n", + "2 : 6609 422 100 7 4 \n", + "3 : 6661 386 86 5 4 \n", + "4 : 6601 422 105 8 6 \n", + "5 : 6632 423 78 7 2 \n", + "6 : 6581 456 95 9 1 \n", + "7 : 6607 430 94 7 4 \n", + "8 : 6657 400 74 5 6 \n", + "9 : 6655 401 73 8 5 \n", + "10 : 6640 412 78 6 6 \n", + "11 : 6602 443 89 6 2 \n", + "12 : 6599 451 82 8 2 \n", + "13 : 6648 412 86 7 1 \n", "\n", - "T : 92753 5836 1260 105 46 [100000]\n", + "T : 92775 5867 1214 93 51 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.3%\n", - "--- Adj/Tot = 0.3%\n", - "--- Update = 9.3765e-03 sec\n", - "--- Collate = 5.7058e-05 sec\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.6108e-03 sec\n", + "--- Collate = 2.3948e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.388882e-05 < 6.250000e-03 [23]\n", - "--- Max DT=3.056086e-01 > 1.000000e-01 [70634]\n", + "--- Min DT=2.690511e-04 < 6.250000e-03 [19]\n", + "--- Max DT=3.058417e-01 > 1.000000e-01 [70567]\n", "----------------------------------------------------------------------\n", - " Component | low: 23/100000\n", - " Component | high: 70634/100000\n", + " Component | low: 19/100000\n", + " Component | high: 70567/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=15] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00106043 [ 0.77 %]\n", - "Velocity : 0.00261484 [ 1.90 %]\n", - "Force : 0.0520328 [ 37.89 %]\n", - "Coefs : 0.0190934 [ 13.90 %]\n", - "Output : 0.00720185 [ 5.24 %]\n", - "Levels : 0.000212915 [ 0.16 %]\n", - "Report : 1.497e-06 [ 0.00 %]\n", - "Balance : 6.8e-07 [ 0.00 %]\n", - "Adjust : 0.0550543 [ 40.09 %]\n", - "Total : 0.137319 [100.00 %]\n", + "Drift : 0.000322899 [ 0.73 %]\n", + "Velocity : 0.000775508 [ 1.75 %]\n", + "Force : 0.0156613 [ 35.25 %]\n", + "Coefs : 0.00661376 [ 14.88 %]\n", + "Output : 0.00271706 [ 6.11 %]\n", + "Levels : 0.000117487 [ 0.26 %]\n", + "Report : 3.65e-07 [ 0.00 %]\n", + "Balance : 3.33e-07 [ 0.00 %]\n", + "Adjust : 0.0182092 [ 40.98 %]\n", + "Total : 0.0444346 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6623 399 104 13 3 \n", - "1 : 6633 410 90 7 2 \n", - "2 : 6637 406 91 5 3 \n", - "3 : 6651 402 79 6 4 \n", - "4 : 6637 397 97 8 3 \n", - "5 : 6598 434 96 9 5 \n", - "6 : 6632 413 90 5 2 \n", - "7 : 6597 440 90 9 6 \n", - "8 : 6644 414 73 8 3 \n", - "9 : 6627 413 92 8 2 \n", - "10 : 6644 400 85 8 5 \n", - "11 : 6576 464 92 6 4 \n", - "12 : 6636 410 87 3 6 \n", - "13 : 6618 430 97 6 3 \n", + "0 : 6623 419 92 6 2 \n", + "1 : 6657 396 80 4 5 \n", + "2 : 6607 422 103 6 4 \n", + "3 : 6661 385 87 5 4 \n", + "4 : 6600 423 106 7 6 \n", + "5 : 6631 425 76 8 2 \n", + "6 : 6581 456 95 9 1 \n", + "7 : 6605 431 95 7 4 \n", + "8 : 6655 402 74 5 6 \n", + "9 : 6651 404 74 8 5 \n", + "10 : 6641 413 76 7 5 \n", + "11 : 6601 444 88 7 2 \n", + "12 : 6599 448 86 7 2 \n", + "13 : 6649 410 88 6 1 \n", "\n", - "T : 92753 5832 1263 101 51 [100000]\n", + "T : 92761 5878 1220 92 49 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.2%\n", + "--- Coef/DT = 0.8%\n", "--- Adj/Tot = 0.3%\n", - "--- Update = 1.0652e-02 sec\n", - "--- Collate = 8.2609e-05 sec\n", + "--- Update = 3.5999e-03 sec\n", + "--- Collate = 2.4677e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.918550e-04 < 6.250000e-03 [27]\n", - "--- Max DT=3.056148e-01 > 1.000000e-01 [70638]\n", + "--- Min DT=2.732143e-04 < 6.250000e-03 [24]\n", + "--- Max DT=3.058506e-01 > 1.000000e-01 [70568]\n", "----------------------------------------------------------------------\n", - " Component | low: 27/100000\n", - " Component | high: 70638/100000\n", + " Component | low: 24/100000\n", + " Component | high: 70568/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=15.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00096221 [ 0.76 %]\n", - "Velocity : 0.0027687 [ 2.18 %]\n", - "Force : 0.0452659 [ 35.67 %]\n", - "Coefs : 0.0171031 [ 13.48 %]\n", - "Output : 0.00133559 [ 1.05 %]\n", - "Levels : 0.000242099 [ 0.19 %]\n", - "Report : 7.99e-07 [ 0.00 %]\n", - "Balance : 3.1e-07 [ 0.00 %]\n", - "Adjust : 0.0591675 [ 46.63 %]\n", - "Total : 0.126891 [100.00 %]\n", + "Drift : 0.000322104 [ 0.76 %]\n", + "Velocity : 0.000716994 [ 1.70 %]\n", + "Force : 0.0155374 [ 36.89 %]\n", + "Coefs : 0.00664541 [ 15.78 %]\n", + "Output : 0.000560597 [ 1.33 %]\n", + "Levels : 0.000136808 [ 0.32 %]\n", + "Report : 2.27e-07 [ 0.00 %]\n", + "Balance : 1.83e-07 [ 0.00 %]\n", + "Adjust : 0.0181796 [ 43.17 %]\n", + "Total : 0.0421159 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6627 394 107 10 4 \n", - "1 : 6628 414 91 7 2 \n", - "2 : 6636 408 90 5 3 \n", - "3 : 6649 404 79 8 2 \n", - "4 : 6638 394 99 9 2 \n", - "5 : 6597 436 96 6 7 \n", - "6 : 6632 413 90 5 2 \n", - "7 : 6596 439 90 10 7 \n", - "8 : 6644 413 73 9 3 \n", - "9 : 6625 418 91 5 3 \n", - "10 : 6641 403 85 8 5 \n", - "11 : 6574 465 94 5 4 \n", - "12 : 6635 410 88 3 6 \n", - "13 : 6616 433 97 5 3 \n", + "0 : 6625 418 91 6 2 \n", + "1 : 6657 396 79 6 4 \n", + "2 : 6610 420 100 8 4 \n", + "3 : 6661 385 87 5 4 \n", + "4 : 6602 422 105 7 6 \n", + "5 : 6631 425 77 7 2 \n", + "6 : 6578 457 97 9 1 \n", + "7 : 6605 430 95 9 3 \n", + "8 : 6652 406 73 6 5 \n", + "9 : 6651 403 75 8 5 \n", + "10 : 6634 420 76 7 5 \n", + "11 : 6601 443 89 5 4 \n", + "12 : 6599 448 85 8 2 \n", + "13 : 6648 411 88 6 1 \n", "\n", - "T : 92738 5844 1270 95 53 [100000]\n", + "T : 92754 5884 1217 97 48 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.1%\n", - "--- Adj/Tot = 0.3%\n", - "--- Update = 1.0541e-02 sec\n", - "--- Collate = 8.1986e-05 sec\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.6411e-03 sec\n", + "--- Collate = 2.4286e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.411613e-05 < 6.250000e-03 [33]\n", - "--- Max DT=3.056211e-01 > 1.000000e-01 [70657]\n", + "--- Min DT=1.497910e-05 < 6.250000e-03 [24]\n", + "--- Max DT=3.058599e-01 > 1.000000e-01 [70567]\n", "----------------------------------------------------------------------\n", - " Component | low: 33/100000\n", - " Component | high: 70657/100000\n", + " Component | low: 24/100000\n", + " Component | high: 70567/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=15.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00098875 [ 0.78 %]\n", - "Velocity : 0.00203736 [ 1.61 %]\n", - "Force : 0.0461668 [ 36.46 %]\n", - "Coefs : 0.0172016 [ 13.58 %]\n", - "Output : 0.00133258 [ 1.05 %]\n", - "Levels : 0.000246619 [ 0.19 %]\n", - "Report : 8.44e-07 [ 0.00 %]\n", - "Balance : 3.44e-07 [ 0.00 %]\n", - "Adjust : 0.0586085 [ 46.28 %]\n", - "Total : 0.126634 [100.00 %]\n", + "Drift : 0.000324911 [ 0.78 %]\n", + "Velocity : 0.000761095 [ 1.83 %]\n", + "Force : 0.0151884 [ 36.47 %]\n", + "Coefs : 0.00656023 [ 15.75 %]\n", + "Output : 0.000545687 [ 1.31 %]\n", + "Levels : 0.000112566 [ 0.27 %]\n", + "Report : 1.83e-07 [ 0.00 %]\n", + "Balance : 1.66e-07 [ 0.00 %]\n", + "Adjust : 0.0181351 [ 43.55 %]\n", + "Total : 0.0416452 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6623 400 105 9 5 \n", - "1 : 6626 416 90 9 1 \n", - "2 : 6639 406 91 3 3 \n", - "3 : 6654 400 77 7 4 \n", - "4 : 6633 401 97 9 2 \n", - "5 : 6596 436 97 7 6 \n", - "6 : 6629 418 89 4 2 \n", - "7 : 6595 440 91 8 8 \n", - "8 : 6646 413 70 10 3 \n", - "9 : 6625 417 92 4 4 \n", - "10 : 6646 395 86 11 4 \n", - "11 : 6576 465 90 6 5 \n", - "12 : 6637 406 90 2 7 \n", - "13 : 6614 436 96 5 3 \n", + "0 : 6620 423 91 5 3 \n", + "1 : 6656 398 78 7 3 \n", + "2 : 6608 421 99 9 5 \n", + "3 : 6657 389 88 5 3 \n", + "4 : 6604 420 104 8 6 \n", + "5 : 6632 424 77 7 2 \n", + "6 : 6577 460 94 10 1 \n", + "7 : 6603 433 94 9 3 \n", + "8 : 6648 410 73 8 3 \n", + "9 : 6649 405 75 8 5 \n", + "10 : 6633 420 77 7 5 \n", + "11 : 6601 446 87 4 4 \n", + "12 : 6597 451 85 7 2 \n", + "13 : 6645 414 88 6 1 \n", "\n", - "T : 92739 5849 1261 94 57 [100000]\n", + "T : 92730 5914 1210 100 46 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.2%\n", - "--- Adj/Tot = 0.3%\n", - "--- Update = 1.1701e-02 sec\n", - "--- Collate = 8.5559e-05 sec\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.6290e-03 sec\n", + "--- Collate = 2.5246e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.188332e-04 < 6.250000e-03 [31]\n", - "--- Max DT=3.056283e-01 > 1.000000e-01 [70647]\n", + "--- Min DT=1.112856e-04 < 6.250000e-03 [26]\n", + "--- Max DT=3.058681e-01 > 1.000000e-01 [70594]\n", "----------------------------------------------------------------------\n", - " Component | low: 31/100000\n", - " Component | high: 70647/100000\n", + " Component | low: 26/100000\n", + " Component | high: 70594/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=15.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000991465 [ 0.77 %]\n", - "Velocity : 0.00245526 [ 1.91 %]\n", - "Force : 0.0467107 [ 36.26 %]\n", - "Coefs : 0.0174936 [ 13.58 %]\n", - "Output : 0.00133117 [ 1.03 %]\n", - "Levels : 0.000231625 [ 0.18 %]\n", - "Report : 8.6e-07 [ 0.00 %]\n", - "Balance : 6.56e-07 [ 0.00 %]\n", - "Adjust : 0.0595482 [ 46.23 %]\n", - "Total : 0.128815 [100.00 %]\n", + "Drift : 0.000323596 [ 0.78 %]\n", + "Velocity : 0.000751255 [ 1.80 %]\n", + "Force : 0.0152597 [ 36.63 %]\n", + "Coefs : 0.00660031 [ 15.84 %]\n", + "Output : 0.00053399 [ 1.28 %]\n", + "Levels : 0.000113994 [ 0.27 %]\n", + "Report : 1.86e-07 [ 0.00 %]\n", + "Balance : 1.74e-07 [ 0.00 %]\n", + "Adjust : 0.0180586 [ 43.35 %]\n", + "Total : 0.041657 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6620 405 103 9 5 \n", - "1 : 6623 418 92 9 0 \n", - "2 : 6640 405 89 5 3 \n", - "3 : 6649 406 75 9 3 \n", - "4 : 6632 404 95 10 1 \n", - "5 : 6597 436 96 7 6 \n", - "6 : 6631 415 90 5 1 \n", - "7 : 6594 438 95 7 8 \n", - "8 : 6650 408 72 8 4 \n", - "9 : 6626 416 92 4 4 \n", - "10 : 6646 395 88 9 4 \n", - "11 : 6577 462 92 7 4 \n", - "12 : 6632 415 86 2 7 \n", - "13 : 6616 435 94 6 3 \n", + "0 : 6618 425 91 5 3 \n", + "1 : 6654 400 77 8 3 \n", + "2 : 6608 422 99 9 4 \n", + "3 : 6655 390 89 5 3 \n", + "4 : 6601 425 102 9 5 \n", + "5 : 6632 422 78 7 3 \n", + "6 : 6575 461 96 8 2 \n", + "7 : 6602 434 94 9 3 \n", + "8 : 6646 413 72 8 3 \n", + "9 : 6648 406 73 10 5 \n", + "10 : 6630 422 79 6 5 \n", + "11 : 6600 448 86 4 4 \n", + "12 : 6603 445 86 6 2 \n", + "13 : 6646 413 88 6 1 \n", "\n", - "T : 92733 5858 1259 97 53 [100000]\n", + "T : 92718 5926 1210 100 46 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.5%\n", + "--- Coef/DT = 0.9%\n", "--- Adj/Tot = 0.3%\n", - "--- Update = 1.1186e-02 sec\n", - "--- Collate = 7.6037e-05 sec\n", + "--- Update = 3.6010e-03 sec\n", + "--- Collate = 2.3879e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.235021e-05 < 6.250000e-03 [33]\n", - "--- Max DT=3.056352e-01 > 1.000000e-01 [70655]\n", + "--- Min DT=1.256012e-04 < 6.250000e-03 [27]\n", + "--- Max DT=3.058774e-01 > 1.000000e-01 [70616]\n", "----------------------------------------------------------------------\n", - " Component | low: 33/100000\n", - " Component | high: 70655/100000\n", + " Component | low: 27/100000\n", + " Component | high: 70616/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=15.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00111162 [ 0.79 %]\n", - "Velocity : 0.00253724 [ 1.79 %]\n", - "Force : 0.0521438 [ 36.82 %]\n", - "Coefs : 0.02224 [ 15.71 %]\n", - "Output : 0.00145337 [ 1.03 %]\n", - "Levels : 0.000253226 [ 0.18 %]\n", - "Report : 6.4e-07 [ 0.00 %]\n", - "Balance : 3.78e-07 [ 0.00 %]\n", - "Adjust : 0.0618074 [ 43.65 %]\n", - "Total : 0.1416 [100.00 %]\n", + "Drift : 0.000338997 [ 0.81 %]\n", + "Velocity : 0.000748558 [ 1.79 %]\n", + "Force : 0.0152631 [ 36.50 %]\n", + "Coefs : 0.00658079 [ 15.74 %]\n", + "Output : 0.000546271 [ 1.31 %]\n", + "Levels : 0.000109333 [ 0.26 %]\n", + "Report : 1.87e-07 [ 0.00 %]\n", + "Balance : 1.7e-07 [ 0.00 %]\n", + "Adjust : 0.0182081 [ 43.55 %]\n", + "Total : 0.0418117 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6619 408 100 9 6 \n", - "1 : 6626 417 90 8 1 \n", - "2 : 6637 407 90 6 2 \n", - "3 : 6650 405 75 9 3 \n", - "4 : 6630 405 96 9 2 \n", - "5 : 6597 435 97 8 5 \n", - "6 : 6628 416 92 4 2 \n", - "7 : 6595 437 94 8 8 \n", - "8 : 6648 410 72 7 5 \n", - "9 : 6626 416 93 3 4 \n", - "10 : 6651 391 87 9 4 \n", - "11 : 6577 461 93 6 5 \n", - "12 : 6631 416 86 2 7 \n", - "13 : 6617 434 93 7 3 \n", + "0 : 6613 431 89 6 3 \n", + "1 : 6653 400 77 9 3 \n", + "2 : 6608 421 100 9 4 \n", + "3 : 6656 389 89 5 3 \n", + "4 : 6600 426 102 10 4 \n", + "5 : 6633 421 79 4 5 \n", + "6 : 6568 468 95 8 3 \n", + "7 : 6601 437 94 7 3 \n", + "8 : 6644 415 72 8 3 \n", + "9 : 6649 405 74 6 8 \n", + "10 : 6629 419 83 5 6 \n", + "11 : 6600 448 86 3 5 \n", + "12 : 6599 450 88 3 2 \n", + "13 : 6645 415 88 5 1 \n", "\n", - "T : 92732 5858 1258 95 57 [100000]\n", + "T : 92698 5945 1216 88 53 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.1%\n", + "--- Coef/DT = 0.8%\n", "--- Adj/Tot = 0.3%\n", - "--- Update = 1.0398e-02 sec\n", - "--- Collate = 8.3748e-05 sec\n", + "--- Update = 3.6225e-03 sec\n", + "--- Collate = 2.3572e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.092776e-05 < 6.250000e-03 [37]\n", - "--- Max DT=3.056429e-01 > 1.000000e-01 [70681]\n", + "--- Min DT=1.078514e-05 < 6.250000e-03 [24]\n", + "--- Max DT=3.058868e-01 > 1.000000e-01 [70619]\n", "----------------------------------------------------------------------\n", - " Component | low: 37/100000\n", - " Component | high: 70681/100000\n", + " Component | low: 24/100000\n", + " Component | high: 70619/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=15.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000975682 [ 0.74 %]\n", - "Velocity : 0.00255582 [ 1.93 %]\n", - "Force : 0.0469796 [ 35.40 %]\n", - "Coefs : 0.021083 [ 15.89 %]\n", - "Output : 0.00137449 [ 1.04 %]\n", - "Levels : 0.000245005 [ 0.18 %]\n", - "Report : 8.61e-07 [ 0.00 %]\n", - "Balance : 3.34e-07 [ 0.00 %]\n", - "Adjust : 0.0594324 [ 44.79 %]\n", - "Total : 0.132697 [100.00 %]\n", + "Drift : 0.000333032 [ 0.79 %]\n", + "Velocity : 0.000739688 [ 1.76 %]\n", + "Force : 0.0153832 [ 36.57 %]\n", + "Coefs : 0.00663727 [ 15.78 %]\n", + "Output : 0.000549645 [ 1.31 %]\n", + "Levels : 0.000110333 [ 0.26 %]\n", + "Report : 1.9e-07 [ 0.00 %]\n", + "Balance : 1.74e-07 [ 0.00 %]\n", + "Adjust : 0.0182926 [ 43.49 %]\n", + "Total : 0.0420642 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6619 404 105 8 6 \n", - "1 : 6623 419 91 7 2 \n", - "2 : 6634 410 89 7 2 \n", - "3 : 6650 403 78 8 3 \n", - "4 : 6630 404 96 10 2 \n", - "5 : 6592 439 98 8 5 \n", - "6 : 6631 414 91 3 3 \n", - "7 : 6592 440 94 8 8 \n", - "8 : 6647 410 73 8 4 \n", - "9 : 6626 415 94 3 4 \n", - "10 : 6649 393 86 10 4 \n", - "11 : 6572 466 93 7 4 \n", - "12 : 6631 415 88 3 5 \n", - "13 : 6617 434 93 7 3 \n", + "0 : 6612 434 86 8 2 \n", + "1 : 6654 399 76 10 3 \n", + "2 : 6605 424 100 8 5 \n", + "3 : 6655 390 89 6 2 \n", + "4 : 6600 426 102 8 6 \n", + "5 : 6634 421 78 4 5 \n", + "6 : 6568 468 95 5 6 \n", + "7 : 6601 438 91 7 5 \n", + "8 : 6643 416 73 7 3 \n", + "9 : 6647 405 75 7 8 \n", + "10 : 6627 421 82 7 5 \n", + "11 : 6603 446 84 3 6 \n", + "12 : 6599 448 90 2 3 \n", + "13 : 6644 417 86 4 3 \n", "\n", - "T : 92713 5866 1269 97 55 [100000]\n", + "T : 92692 5953 1207 86 62 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.4%\n", - "--- Adj/Tot = 0.3%\n", - "--- Update = 1.0941e-02 sec\n", - "--- Collate = 9.1766e-05 sec\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.5813e-03 sec\n", + "--- Collate = 2.4200e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.826577e-05 < 6.250000e-03 [30]\n", - "--- Max DT=3.056496e-01 > 1.000000e-01 [70695]\n", + "--- Min DT=7.576939e-06 < 6.250000e-03 [31]\n", + "--- Max DT=3.058969e-01 > 1.000000e-01 [70618]\n", "----------------------------------------------------------------------\n", - " Component | low: 30/100000\n", - " Component | high: 70695/100000\n", + " Component | low: 31/100000\n", + " Component | high: 70618/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=15.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000537244 [ 0.42 %]\n", - "Velocity : 0.00302769 [ 2.38 %]\n", - "Force : 0.04726 [ 37.08 %]\n", - "Coefs : 0.017 [ 13.34 %]\n", - "Output : 0.001276 [ 1.00 %]\n", - "Levels : 0.000267172 [ 0.21 %]\n", - "Report : 7.05e-07 [ 0.00 %]\n", - "Balance : 3.05e-07 [ 0.00 %]\n", - "Adjust : 0.0580419 [ 45.54 %]\n", - "Total : 0.127456 [100.00 %]\n", + "Drift : 0.000325121 [ 0.77 %]\n", + "Velocity : 0.000769617 [ 1.82 %]\n", + "Force : 0.0155564 [ 36.82 %]\n", + "Coefs : 0.00663499 [ 15.70 %]\n", + "Output : 0.000561546 [ 1.33 %]\n", + "Levels : 0.000140099 [ 0.33 %]\n", + "Report : 1.93e-07 [ 0.00 %]\n", + "Balance : 1.66e-07 [ 0.00 %]\n", + "Adjust : 0.0182429 [ 43.18 %]\n", + "Total : 0.042248 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6620 402 107 7 6 \n", - "1 : 6623 415 93 9 2 \n", - "2 : 6634 408 92 5 3 \n", - "3 : 6646 405 81 8 2 \n", - "4 : 6634 400 96 10 2 \n", - "5 : 6595 437 97 7 6 \n", - "6 : 6628 414 94 3 3 \n", - "7 : 6594 438 93 8 9 \n", - "8 : 6641 413 75 9 4 \n", - "9 : 6623 418 94 4 3 \n", - "10 : 6649 392 88 9 4 \n", - "11 : 6572 467 94 5 4 \n", - "12 : 6632 413 90 3 4 \n", - "13 : 6611 438 95 9 1 \n", + "0 : 6606 442 83 8 3 \n", + "1 : 6657 397 74 11 3 \n", + "2 : 6606 419 103 9 5 \n", + "3 : 6650 394 90 5 3 \n", + "4 : 6602 423 104 6 7 \n", + "5 : 6631 424 78 4 5 \n", + "6 : 6571 463 96 6 6 \n", + "7 : 6598 440 92 4 8 \n", + "8 : 6642 417 75 6 2 \n", + "9 : 6646 406 75 7 8 \n", + "10 : 6628 421 81 7 5 \n", + "11 : 6604 445 84 3 6 \n", + "12 : 6600 447 89 3 3 \n", + "13 : 6642 419 86 4 3 \n", "\n", - "T : 92702 5860 1289 96 53 [100000]\n", + "T : 92683 5957 1210 83 67 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.4%\n", + "--- Coef/DT = 0.8%\n", "--- Adj/Tot = 0.3%\n", - "--- Update = 1.1171e-02 sec\n", - "--- Collate = 8.9795e-05 sec\n", + "--- Update = 3.6146e-03 sec\n", + "--- Collate = 2.4353e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.407564e-05 < 6.250000e-03 [28]\n", - "--- Max DT=3.056571e-01 > 1.000000e-01 [70681]\n", + "--- Min DT=1.126718e-04 < 6.250000e-03 [36]\n", + "--- Max DT=3.059066e-01 > 1.000000e-01 [70637]\n", "----------------------------------------------------------------------\n", - " Component | low: 28/100000\n", - " Component | high: 70681/100000\n", + " Component | low: 36/100000\n", + " Component | high: 70637/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=15.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000614408 [ 0.47 %]\n", - "Velocity : 0.00255127 [ 1.96 %]\n", - "Force : 0.0483739 [ 37.11 %]\n", - "Coefs : 0.0182634 [ 14.01 %]\n", - "Output : 0.00131009 [ 1.00 %]\n", - "Levels : 0.000249375 [ 0.19 %]\n", - "Report : 6.03e-07 [ 0.00 %]\n", - "Balance : 3.63e-07 [ 0.00 %]\n", - "Adjust : 0.0589513 [ 45.22 %]\n", - "Total : 0.130364 [100.00 %]\n", + "Drift : 0.000328023 [ 0.77 %]\n", + "Velocity : 0.000753735 [ 1.77 %]\n", + "Force : 0.0158415 [ 37.27 %]\n", + "Coefs : 0.00663559 [ 15.61 %]\n", + "Output : 0.000551247 [ 1.30 %]\n", + "Levels : 0.000110563 [ 0.26 %]\n", + "Report : 2.05e-07 [ 0.00 %]\n", + "Balance : 1.69e-07 [ 0.00 %]\n", + "Adjust : 0.0182677 [ 42.98 %]\n", + "Total : 0.0425053 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6621 400 108 9 4 \n", - "1 : 6623 415 93 8 3 \n", - "2 : 6631 410 93 5 3 \n", - "3 : 6646 404 81 8 3 \n", - "4 : 6631 405 93 10 3 \n", - "5 : 6596 436 96 8 6 \n", - "6 : 6625 418 93 3 3 \n", - "7 : 6595 435 96 8 8 \n", - "8 : 6636 420 72 11 3 \n", - "9 : 6625 415 97 2 3 \n", - "10 : 6646 392 90 10 4 \n", - "11 : 6571 469 91 8 3 \n", - "12 : 6630 414 90 4 4 \n", - "13 : 6609 438 99 7 1 \n", + "0 : 6603 446 82 8 3 \n", + "1 : 6656 398 75 10 3 \n", + "2 : 6604 420 105 9 4 \n", + "3 : 6653 392 90 4 3 \n", + "4 : 6601 427 101 6 7 \n", + "5 : 6630 426 77 4 5 \n", + "6 : 6573 461 96 6 6 \n", + "7 : 6598 441 90 4 9 \n", + "8 : 6639 420 75 5 3 \n", + "9 : 6645 405 77 7 8 \n", + "10 : 6628 421 81 7 5 \n", + "11 : 6602 446 84 5 5 \n", + "12 : 6600 446 90 3 3 \n", + "13 : 6646 414 88 4 2 \n", "\n", - "T : 92685 5871 1292 101 51 [100000]\n", + "T : 92678 5963 1211 82 66 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.9%\n", - "--- Adj/Tot = 0.4%\n", - "--- Update = 1.1980e-02 sec\n", - "--- Collate = 7.1940e-05 sec\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 3.6494e-03 sec\n", + "--- Collate = 2.7813e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.725447e-05 < 6.250000e-03 [27]\n", - "--- Max DT=3.056637e-01 > 1.000000e-01 [70687]\n", + "--- Min DT=1.324905e-05 < 6.250000e-03 [38]\n", + "--- Max DT=3.059182e-01 > 1.000000e-01 [70646]\n", "----------------------------------------------------------------------\n", - " Component | low: 27/100000\n", - " Component | high: 70687/100000\n", + " Component | low: 38/100000\n", + " Component | high: 70646/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=15.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000698576 [ 0.51 %]\n", - "Velocity : 0.00160741 [ 1.17 %]\n", - "Force : 0.0508262 [ 37.12 %]\n", - "Coefs : 0.0199671 [ 14.58 %]\n", - "Output : 0.00120955 [ 0.88 %]\n", - "Levels : 0.000247133 [ 0.18 %]\n", - "Report : 9.64e-07 [ 0.00 %]\n", - "Balance : 3.85e-07 [ 0.00 %]\n", - "Adjust : 0.0623152 [ 45.51 %]\n", - "Total : 0.136921 [100.00 %]\n", + "Drift : 0.000326328 [ 0.77 %]\n", + "Velocity : 0.000757978 [ 1.78 %]\n", + "Force : 0.0153748 [ 36.19 %]\n", + "Coefs : 0.00655838 [ 15.44 %]\n", + "Output : 0.000604144 [ 1.42 %]\n", + "Levels : 0.000115017 [ 0.27 %]\n", + "Report : 2.45e-07 [ 0.00 %]\n", + "Balance : 1.64e-07 [ 0.00 %]\n", + "Adjust : 0.0187274 [ 44.08 %]\n", + "Total : 0.0424812 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6618 404 106 11 3 \n", - "1 : 6623 416 92 8 3 \n", - "2 : 6629 412 93 4 4 \n", - "3 : 6647 401 84 6 4 \n", - "4 : 6631 405 95 8 3 \n", - "5 : 6598 433 97 8 6 \n", - "6 : 6621 422 93 3 3 \n", - "7 : 6596 435 95 9 7 \n", - "8 : 6637 418 73 11 3 \n", - "9 : 6622 418 96 3 3 \n", - "10 : 6645 392 91 10 4 \n", - "11 : 6573 464 93 9 3 \n", - "12 : 6625 418 91 4 4 \n", - "13 : 6608 440 96 9 1 \n", + "0 : 6603 447 81 7 4 \n", + "1 : 6656 400 73 9 4 \n", + "2 : 6605 418 106 10 3 \n", + "3 : 6653 391 91 4 3 \n", + "4 : 6595 432 103 5 7 \n", + "5 : 6630 426 75 8 3 \n", + "6 : 6572 462 96 7 5 \n", + "7 : 6595 444 90 4 9 \n", + "8 : 6639 419 76 6 2 \n", + "9 : 6648 401 78 6 9 \n", + "10 : 6624 425 81 7 5 \n", + "11 : 6604 443 84 6 5 \n", + "12 : 6597 449 90 2 4 \n", + "13 : 6646 413 89 4 2 \n", "\n", - "T : 92673 5878 1295 103 51 [100000]\n", + "T : 92667 5970 1213 85 65 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.5%\n", - "--- Adj/Tot = 0.4%\n", - "--- Update = 1.1691e-02 sec\n", - "--- Collate = 5.7229e-05 sec\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 3.6458e-03 sec\n", + "--- Collate = 3.7844e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.736652e-05 < 6.250000e-03 [26]\n", - "--- Max DT=3.056706e-01 > 1.000000e-01 [70706]\n", + "--- Min DT=5.255787e-05 < 6.250000e-03 [37]\n", + "--- Max DT=3.059288e-01 > 1.000000e-01 [70655]\n", "----------------------------------------------------------------------\n", - " Component | low: 26/100000\n", - " Component | high: 70706/100000\n", + " Component | low: 37/100000\n", + " Component | high: 70655/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=15.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000737626 [ 0.54 %]\n", - "Velocity : 0.00222492 [ 1.62 %]\n", - "Force : 0.0511336 [ 37.19 %]\n", - "Coefs : 0.0198336 [ 14.42 %]\n", - "Output : 0.00135753 [ 0.99 %]\n", - "Levels : 0.000247718 [ 0.18 %]\n", - "Report : 9.26e-07 [ 0.00 %]\n", - "Balance : 3.58e-07 [ 0.00 %]\n", - "Adjust : 0.061906 [ 45.02 %]\n", - "Total : 0.137496 [100.00 %]\n", + "Drift : 0.000338173 [ 0.79 %]\n", + "Velocity : 0.000792453 [ 1.86 %]\n", + "Force : 0.015819 [ 37.11 %]\n", + "Coefs : 0.00663128 [ 15.56 %]\n", + "Output : 0.000587688 [ 1.38 %]\n", + "Levels : 0.000111519 [ 0.26 %]\n", + "Report : 1.85e-07 [ 0.00 %]\n", + "Balance : 1.72e-07 [ 0.00 %]\n", + "Adjust : 0.0183329 [ 43.00 %]\n", + "Total : 0.0426307 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6624 397 107 10 4 \n", - "1 : 6623 416 93 7 3 \n", - "2 : 6626 415 93 4 4 \n", - "3 : 6644 405 81 8 4 \n", - "4 : 6626 407 96 10 3 \n", - "5 : 6597 434 97 9 5 \n", - "6 : 6620 422 94 4 2 \n", - "7 : 6596 434 97 7 8 \n", - "8 : 6637 418 73 12 2 \n", - "9 : 6623 416 97 4 2 \n", - "10 : 6645 391 91 12 3 \n", - "11 : 6580 457 95 7 3 \n", - "12 : 6624 419 90 6 3 \n", - "13 : 6609 438 95 10 2 \n", + "0 : 6601 452 77 7 5 \n", + "1 : 6652 402 76 7 5 \n", + "2 : 6602 420 107 10 3 \n", + "3 : 6653 389 93 5 2 \n", + "4 : 6599 428 103 5 7 \n", + "5 : 6632 423 76 8 3 \n", + "6 : 6572 461 99 4 6 \n", + "7 : 6597 442 90 5 8 \n", + "8 : 6641 415 78 5 3 \n", + "9 : 6645 404 78 5 10 \n", + "10 : 6624 425 82 7 4 \n", + "11 : 6607 441 84 6 4 \n", + "12 : 6596 449 89 5 3 \n", + "13 : 6646 414 86 6 2 \n", "\n", - "T : 92674 5869 1299 110 48 [100000]\n", + "T : 92667 5965 1218 85 65 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.2%\n", - "--- Adj/Tot = 0.3%\n", - "--- Update = 1.0248e-02 sec\n", - "--- Collate = 7.6127e-05 sec\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.6266e-03 sec\n", + "--- Collate = 2.2094e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.353255e-05 < 6.250000e-03 [24]\n", - "--- Max DT=3.056777e-01 > 1.000000e-01 [70704]\n", + "--- Min DT=3.908827e-05 < 6.250000e-03 [39]\n", + "--- Max DT=3.059407e-01 > 1.000000e-01 [70655]\n", "----------------------------------------------------------------------\n", - " Component | low: 24/100000\n", - " Component | high: 70704/100000\n", + " Component | low: 39/100000\n", + " Component | high: 70655/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=16] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000987825 [ 0.75 %]\n", - "Velocity : 0.00246325 [ 1.86 %]\n", - "Force : 0.0470014 [ 35.56 %]\n", - "Coefs : 0.0184788 [ 13.98 %]\n", - "Output : 0.00699265 [ 5.29 %]\n", - "Levels : 0.000289104 [ 0.22 %]\n", - "Report : 8.45e-07 [ 0.00 %]\n", - "Balance : 6.8e-07 [ 0.00 %]\n", - "Adjust : 0.0559301 [ 42.31 %]\n", - "Total : 0.132191 [100.00 %]\n", + "Drift : 0.00033959 [ 0.76 %]\n", + "Velocity : 0.0007778 [ 1.74 %]\n", + "Force : 0.0157484 [ 35.19 %]\n", + "Coefs : 0.00662129 [ 14.80 %]\n", + "Output : 0.00274277 [ 6.13 %]\n", + "Levels : 0.000153004 [ 0.34 %]\n", + "Report : 4.09e-07 [ 0.00 %]\n", + "Balance : 2.53e-07 [ 0.00 %]\n", + "Adjust : 0.0183482 [ 41.00 %]\n", + "Total : 0.0447497 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6624 394 111 8 5 \n", - "1 : 6622 416 95 5 4 \n", - "2 : 6624 417 93 5 3 \n", - "3 : 6644 405 81 8 4 \n", - "4 : 6630 405 94 10 3 \n", - "5 : 6596 436 96 9 5 \n", - "6 : 6622 419 95 3 3 \n", - "7 : 6597 432 97 9 7 \n", - "8 : 6635 417 75 11 4 \n", - "9 : 6621 418 98 4 1 \n", - "10 : 6644 389 95 10 4 \n", - "11 : 6580 457 95 7 3 \n", - "12 : 6622 422 89 6 3 \n", - "13 : 6607 441 95 9 2 \n", + "0 : 6600 453 78 8 3 \n", + "1 : 6648 407 78 3 6 \n", + "2 : 6599 423 106 10 4 \n", + "3 : 6652 393 91 4 2 \n", + "4 : 6597 430 103 6 6 \n", + "5 : 6630 425 74 11 2 \n", + "6 : 6568 465 99 3 7 \n", + "7 : 6597 441 91 5 8 \n", + "8 : 6640 414 80 5 3 \n", + "9 : 6644 408 76 7 7 \n", + "10 : 6621 427 83 7 4 \n", + "11 : 6609 438 84 7 4 \n", + "12 : 6595 448 90 6 3 \n", + "13 : 6645 414 87 6 2 \n", "\n", - "T : 92668 5868 1309 104 51 [100000]\n", + "T : 92645 5986 1220 88 61 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 1.3%\n", - "--- Adj/Tot = 0.3%\n", - "--- Update = 1.0277e-02 sec\n", - "--- Collate = 8.5842e-05 sec\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.6509e-03 sec\n", + "--- Collate = 2.4418e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.980484e-04 < 6.250000e-03 [25]\n", - "--- Max DT=3.056843e-01 > 1.000000e-01 [70713]\n", + "--- Min DT=1.110369e-04 < 6.250000e-03 [35]\n", + "--- Max DT=3.059527e-01 > 1.000000e-01 [70666]\n", "----------------------------------------------------------------------\n", - " Component | low: 25/100000\n", - " Component | high: 70713/100000\n", + " Component | low: 35/100000\n", + " Component | high: 70666/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=16.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00103099 [ 0.81 %]\n", - "Velocity : 0.00256102 [ 2.01 %]\n", - "Force : 0.0457604 [ 35.86 %]\n", - "Coefs : 0.0175744 [ 13.77 %]\n", - "Output : 0.00135263 [ 1.06 %]\n", - "Levels : 0.000243547 [ 0.19 %]\n", - "Report : 8.42e-07 [ 0.00 %]\n", - "Balance : 3.48e-07 [ 0.00 %]\n", - "Adjust : 0.0590479 [ 46.27 %]\n", - "Total : 0.127619 [100.00 %]\n", + "Drift : 0.00033135 [ 0.77 %]\n", + "Velocity : 0.000755199 [ 1.77 %]\n", + "Force : 0.0158073 [ 36.95 %]\n", + "Coefs : 0.00672203 [ 15.71 %]\n", + "Output : 0.000597251 [ 1.40 %]\n", + "Levels : 0.000112608 [ 0.26 %]\n", + "Report : 2.43e-07 [ 0.00 %]\n", + "Balance : 1.78e-07 [ 0.00 %]\n", + "Adjust : 0.0184422 [ 43.10 %]\n", + "Total : 0.0427857 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6626 392 110 8 6 \n", - "1 : 6621 419 93 5 4 \n", - "2 : 6622 421 92 4 3 \n", - "3 : 6642 408 80 10 2 \n", - "4 : 6628 407 96 8 3 \n", - "5 : 6597 437 94 8 6 \n", - "6 : 6622 419 94 3 4 \n", - "7 : 6593 434 99 9 7 \n", - "8 : 6633 418 77 8 6 \n", - "9 : 6619 420 98 4 1 \n", - "10 : 6645 388 96 9 4 \n", - "11 : 6581 454 98 7 2 \n", - "12 : 6621 423 87 9 2 \n", - "13 : 6608 441 93 10 2 \n", + "0 : 6601 453 78 7 3 \n", + "1 : 6648 407 78 3 6 \n", + "2 : 6601 419 108 11 3 \n", + "3 : 6651 395 90 5 1 \n", + "4 : 6596 431 104 6 5 \n", + "5 : 6632 422 76 9 3 \n", + "6 : 6567 465 100 3 7 \n", + "7 : 6596 442 92 4 8 \n", + "8 : 6639 414 80 7 2 \n", + "9 : 6644 408 76 6 8 \n", + "10 : 6621 425 86 7 3 \n", + "11 : 6608 439 83 8 4 \n", + "12 : 6594 450 89 6 3 \n", + "13 : 6647 411 87 6 3 \n", "\n", - "T : 92658 5881 1307 102 52 [100000]\n", + "T : 92645 5981 1227 88 59 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 0.8%\n", - "--- Adj/Tot = 0.3%\n", - "--- Update = 2.5778e-02 sec\n", - "--- Collate = 8.1776e-05 sec\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.6324e-03 sec\n", + "--- Collate = 2.5704e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.259721e-06 < 6.250000e-03 [28]\n", - "--- Max DT=3.056914e-01 > 1.000000e-01 [70719]\n", + "--- Min DT=4.820429e-04 < 6.250000e-03 [32]\n", + "--- Max DT=3.059652e-01 > 1.000000e-01 [70675]\n", "----------------------------------------------------------------------\n", - " Component | low: 28/100000\n", - " Component | high: 70719/100000\n", + " Component | low: 32/100000\n", + " Component | high: 70675/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=16.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000976036 [ 0.59 %]\n", - "Velocity : 0.00272406 [ 1.64 %]\n", - "Force : 0.052661 [ 31.70 %]\n", - "Coefs : 0.0177864 [ 10.71 %]\n", - "Output : 0.00136306 [ 0.82 %]\n", - "Levels : 0.000287679 [ 0.17 %]\n", - "Report : 7.76e-07 [ 0.00 %]\n", - "Balance : 3.61e-07 [ 0.00 %]\n", - "Adjust : 0.0902705 [ 54.34 %]\n", - "Total : 0.166122 [100.00 %]\n", + "Drift : 0.000337605 [ 0.79 %]\n", + "Velocity : 0.000783123 [ 1.83 %]\n", + "Force : 0.0158182 [ 37.02 %]\n", + "Coefs : 0.00660838 [ 15.47 %]\n", + "Output : 0.000568698 [ 1.33 %]\n", + "Levels : 0.000116788 [ 0.27 %]\n", + "Report : 2e-07 [ 0.00 %]\n", + "Balance : 1.73e-07 [ 0.00 %]\n", + "Adjust : 0.0184652 [ 43.22 %]\n", + "Total : 0.0427242 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6627 390 110 10 5 \n", - "1 : 6621 418 93 6 4 \n", - "2 : 6622 419 94 4 3 \n", - "3 : 6646 404 80 8 4 \n", - "4 : 6627 409 93 10 3 \n", - "5 : 6596 441 91 10 4 \n", - "6 : 6622 419 94 2 5 \n", - "7 : 6590 437 99 9 7 \n", - "8 : 6638 412 78 9 5 \n", - "9 : 6618 421 97 5 1 \n", - "10 : 6644 388 96 11 3 \n", - "11 : 6581 454 98 6 3 \n", - "12 : 6622 421 88 8 3 \n", - "13 : 6606 443 92 11 2 \n", + "0 : 6601 452 81 5 3 \n", + "1 : 6645 409 79 3 6 \n", + "2 : 6599 420 109 10 4 \n", + "3 : 6651 396 88 6 1 \n", + "4 : 6594 437 100 6 5 \n", + "5 : 6629 426 76 8 3 \n", + "6 : 6566 465 101 3 7 \n", + "7 : 6597 441 91 6 7 \n", + "8 : 6639 414 80 6 3 \n", + "9 : 6644 409 74 6 9 \n", + "10 : 6618 427 87 7 3 \n", + "11 : 6602 445 83 7 5 \n", + "12 : 6596 449 88 6 3 \n", + "13 : 6647 411 87 6 3 \n", "\n", - "T : 92660 5876 1303 109 52 [100000]\n", + "T : 92628 6001 1224 85 62 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.8%\n", + "--- Coef/DT = 0.9%\n", "--- Adj/Tot = 0.3%\n", - "--- Update = 1.7389e-02 sec\n", - "--- Collate = 9.0394e-05 sec\n", + "--- Update = 3.6131e-03 sec\n", + "--- Collate = 2.4351e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.736858e-05 < 6.250000e-03 [28]\n", - "--- Max DT=3.056993e-01 > 1.000000e-01 [70714]\n", + "--- Min DT=1.793992e-05 < 6.250000e-03 [25]\n", + "--- Max DT=3.059776e-01 > 1.000000e-01 [70692]\n", "----------------------------------------------------------------------\n", - " Component | low: 28/100000\n", - " Component | high: 70714/100000\n", + " Component | low: 25/100000\n", + " Component | high: 70692/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=16.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000498036 [ 0.16 %]\n", - "Velocity : 0.00345485 [ 1.09 %]\n", - "Force : 0.116271 [ 36.77 %]\n", - "Coefs : 0.0531582 [ 16.81 %]\n", - "Output : 0.00149224 [ 0.47 %]\n", - "Levels : 0.000286125 [ 0.09 %]\n", - "Report : 8.27e-07 [ 0.00 %]\n", - "Balance : 6.23e-07 [ 0.00 %]\n", - "Adjust : 0.140956 [ 44.58 %]\n", - "Total : 0.316168 [100.00 %]\n", + "Drift : 0.000322041 [ 0.76 %]\n", + "Velocity : 0.00077369 [ 1.82 %]\n", + "Force : 0.01571 [ 36.96 %]\n", + "Coefs : 0.00668113 [ 15.72 %]\n", + "Output : 0.000565187 [ 1.33 %]\n", + "Levels : 0.000112851 [ 0.27 %]\n", + "Report : 1.87e-07 [ 0.00 %]\n", + "Balance : 1.63e-07 [ 0.00 %]\n", + "Adjust : 0.0183265 [ 43.11 %]\n", + "Total : 0.0425091 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6628 390 109 10 5 \n", - "1 : 6617 423 91 6 5 \n", - "2 : 6622 418 94 5 3 \n", - "3 : 6645 406 79 7 5 \n", - "4 : 6627 406 96 10 3 \n", - "5 : 6596 439 93 10 4 \n", - "6 : 6626 414 96 1 5 \n", - "7 : 6589 440 95 11 7 \n", - "8 : 6635 416 79 7 5 \n", - "9 : 6619 422 96 4 1 \n", - "10 : 6645 389 93 11 4 \n", - "11 : 6577 454 103 6 2 \n", - "12 : 6624 419 86 10 3 \n", - "13 : 6606 443 92 9 4 \n", + "0 : 6600 454 78 5 5 \n", + "1 : 6641 413 80 2 6 \n", + "2 : 6600 420 108 10 4 \n", + "3 : 6650 399 86 6 1 \n", + "4 : 6595 435 101 6 5 \n", + "5 : 6628 427 74 10 3 \n", + "6 : 6567 464 101 3 7 \n", + "7 : 6598 440 92 5 7 \n", + "8 : 6640 411 82 6 3 \n", + "9 : 6646 407 76 4 9 \n", + "10 : 6617 431 83 8 3 \n", + "11 : 6603 444 83 7 5 \n", + "12 : 6590 455 88 6 3 \n", + "13 : 6644 413 88 6 3 \n", "\n", - "T : 92656 5879 1302 107 56 [100000]\n", + "T : 92619 6013 1220 84 64 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.8%\n", + "--- Coef/DT = 1.0%\n", "--- Adj/Tot = 0.3%\n", - "--- Update = 1.0807e-02 sec\n", - "--- Collate = 8.0644e-05 sec\n", + "--- Update = 3.6896e-03 sec\n", + "--- Collate = 2.5119e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.536525e-04 < 6.250000e-03 [31]\n", - "--- Max DT=3.057064e-01 > 1.000000e-01 [70726]\n", + "--- Min DT=4.758681e-05 < 6.250000e-03 [21]\n", + "--- Max DT=3.059914e-01 > 1.000000e-01 [70691]\n", "----------------------------------------------------------------------\n", - " Component | low: 31/100000\n", - " Component | high: 70726/100000\n", + " Component | low: 21/100000\n", + " Component | high: 70691/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=16.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0010247 [ 0.63 %]\n", - "Velocity : 0.00203451 [ 1.26 %]\n", - "Force : 0.0597961 [ 37.02 %]\n", - "Coefs : 0.0301817 [ 18.69 %]\n", - "Output : 0.00153342 [ 0.95 %]\n", - "Levels : 0.00029591 [ 0.18 %]\n", - "Report : 9.21e-07 [ 0.00 %]\n", - "Balance : 2.92e-07 [ 0.00 %]\n", - "Adjust : 0.0666048 [ 41.24 %]\n", - "Total : 0.16152 [100.00 %]\n", + "Drift : 0.000328093 [ 0.77 %]\n", + "Velocity : 0.000760914 [ 1.79 %]\n", + "Force : 0.0157405 [ 36.99 %]\n", + "Coefs : 0.00663244 [ 15.58 %]\n", + "Output : 0.000571347 [ 1.34 %]\n", + "Levels : 0.000125574 [ 0.30 %]\n", + "Report : 2.1e-07 [ 0.00 %]\n", + "Balance : 1.57e-07 [ 0.00 %]\n", + "Adjust : 0.0183813 [ 43.19 %]\n", + "Total : 0.0425581 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6626 393 108 12 3 \n", - "1 : 6617 425 89 6 5 \n", - "2 : 6619 420 94 6 3 \n", - "3 : 6643 410 76 8 5 \n", - "4 : 6623 407 100 9 3 \n", - "5 : 6595 440 92 11 4 \n", - "6 : 6625 414 95 4 4 \n", - "7 : 6586 442 95 12 7 \n", - "8 : 6634 416 79 10 3 \n", - "9 : 6617 423 96 5 1 \n", - "10 : 6644 386 97 11 4 \n", - "11 : 6578 455 100 7 2 \n", - "12 : 6622 423 84 10 3 \n", - "13 : 6605 447 90 7 5 \n", + "0 : 6599 454 79 6 4 \n", + "1 : 6637 417 81 4 3 \n", + "2 : 6598 422 108 11 3 \n", + "3 : 6650 399 86 5 2 \n", + "4 : 6597 432 101 7 5 \n", + "5 : 6626 430 74 9 3 \n", + "6 : 6564 466 102 7 3 \n", + "7 : 6594 445 91 6 6 \n", + "8 : 6639 412 81 7 3 \n", + "9 : 6645 410 74 5 8 \n", + "10 : 6616 430 85 8 3 \n", + "11 : 6600 447 83 7 5 \n", + "12 : 6590 453 90 8 1 \n", + "13 : 6642 415 88 6 3 \n", "\n", - "T : 92634 5901 1295 118 52 [100000]\n", + "T : 92597 6032 1223 96 52 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.3%\n", - "--- Adj/Tot = 0.3%\n", - "--- Update = 1.1347e-02 sec\n", - "--- Collate = 6.3315e-05 sec\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.6159e-03 sec\n", + "--- Collate = 3.5640e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.302687e-04 < 6.250000e-03 [31]\n", - "--- Max DT=3.057128e-01 > 1.000000e-01 [70744]\n", + "--- Min DT=2.030761e-04 < 6.250000e-03 [26]\n", + "--- Max DT=3.060045e-01 > 1.000000e-01 [70697]\n", "----------------------------------------------------------------------\n", - " Component | low: 31/100000\n", - " Component | high: 70744/100000\n", + " Component | low: 26/100000\n", + " Component | high: 70697/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=16.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00102066 [ 0.74 %]\n", - "Velocity : 0.00268384 [ 1.95 %]\n", - "Force : 0.0513468 [ 37.31 %]\n", - "Coefs : 0.0182191 [ 13.24 %]\n", - "Output : 0.00136407 [ 0.99 %]\n", - "Levels : 0.000238048 [ 0.17 %]\n", - "Report : 5.86e-07 [ 0.00 %]\n", - "Balance : 4.12e-07 [ 0.00 %]\n", - "Adjust : 0.0627146 [ 45.56 %]\n", - "Total : 0.137638 [100.00 %]\n", + "Drift : 0.000327863 [ 0.77 %]\n", + "Velocity : 0.000770587 [ 1.82 %]\n", + "Force : 0.0156862 [ 36.96 %]\n", + "Coefs : 0.00664648 [ 15.66 %]\n", + "Output : 0.000568669 [ 1.34 %]\n", + "Levels : 0.000114314 [ 0.27 %]\n", + "Report : 2e-07 [ 0.00 %]\n", + "Balance : 1.62e-07 [ 0.00 %]\n", + "Adjust : 0.018305 [ 43.14 %]\n", + "Total : 0.0424359 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6624 394 109 12 3 \n", - "1 : 6614 429 86 9 4 \n", - "2 : 6616 424 89 10 3 \n", - "3 : 6640 414 75 8 5 \n", - "4 : 6627 402 101 8 4 \n", - "5 : 6592 443 92 9 6 \n", - "6 : 6623 415 96 3 5 \n", - "7 : 6581 448 93 12 8 \n", - "8 : 6634 412 84 8 4 \n", - "9 : 6618 422 96 4 2 \n", - "10 : 6644 386 99 7 6 \n", - "11 : 6573 460 99 8 2 \n", - "12 : 6621 423 86 6 6 \n", - "13 : 6606 446 88 10 4 \n", + "0 : 6600 453 78 6 5 \n", + "1 : 6638 417 78 7 2 \n", + "2 : 6597 425 108 9 3 \n", + "3 : 6647 403 85 6 1 \n", + "4 : 6594 433 102 8 5 \n", + "5 : 6626 431 73 9 3 \n", + "6 : 6567 462 103 7 3 \n", + "7 : 6596 441 93 7 5 \n", + "8 : 6635 416 81 7 3 \n", + "9 : 6644 410 75 7 6 \n", + "10 : 6619 427 84 10 2 \n", + "11 : 6600 446 84 6 6 \n", + "12 : 6591 451 90 8 2 \n", + "13 : 6641 416 88 7 2 \n", "\n", - "T : 92613 5918 1293 114 62 [100000]\n", + "T : 92595 6031 1222 104 48 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.6%\n", + "--- Coef/DT = 1.0%\n", "--- Adj/Tot = 0.3%\n", - "--- Update = 2.8626e-02 sec\n", - "--- Collate = 8.8387e-05 sec\n", + "--- Update = 3.6180e-03 sec\n", + "--- Collate = 2.3118e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.085299e-07 < 6.250000e-03 [29]\n", - "--- Max DT=3.057203e-01 > 1.000000e-01 [70748]\n", + "--- Min DT=3.085353e-04 < 6.250000e-03 [25]\n", + "--- Max DT=3.060182e-01 > 1.000000e-01 [70705]\n", "----------------------------------------------------------------------\n", - " Component | low: 29/100000\n", - " Component | high: 70748/100000\n", + " Component | low: 25/100000\n", + " Component | high: 70705/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=16.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000758263 [ 0.49 %]\n", - "Velocity : 0.0020864 [ 1.35 %]\n", - "Force : 0.050951 [ 33.00 %]\n", - "Coefs : 0.0206012 [ 13.34 %]\n", - "Output : 0.00137452 [ 0.89 %]\n", - "Levels : 0.000254108 [ 0.16 %]\n", - "Report : 8.49e-07 [ 0.00 %]\n", - "Balance : 3.95e-07 [ 0.00 %]\n", - "Adjust : 0.078317 [ 50.73 %]\n", - "Total : 0.154394 [100.00 %]\n", + "Drift : 0.000344173 [ 0.81 %]\n", + "Velocity : 0.000779455 [ 1.84 %]\n", + "Force : 0.0156785 [ 37.07 %]\n", + "Coefs : 0.00662648 [ 15.67 %]\n", + "Output : 0.000553639 [ 1.31 %]\n", + "Levels : 0.000112228 [ 0.27 %]\n", + "Report : 1.99e-07 [ 0.00 %]\n", + "Balance : 1.67e-07 [ 0.00 %]\n", + "Adjust : 0.0181887 [ 43.00 %]\n", + "Total : 0.0422997 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6625 393 109 11 4 \n", - "1 : 6617 425 87 10 3 \n", - "2 : 6616 428 84 10 4 \n", - "3 : 6635 421 73 7 6 \n", - "4 : 6627 405 99 7 4 \n", - "5 : 6590 446 91 10 5 \n", - "6 : 6617 419 98 3 5 \n", - "7 : 6579 449 93 12 9 \n", - "8 : 6633 414 82 8 5 \n", - "9 : 6617 424 95 4 2 \n", - "10 : 6639 391 97 8 7 \n", - "11 : 6576 455 102 7 2 \n", - "12 : 6620 424 86 5 7 \n", - "13 : 6606 443 91 10 4 \n", + "0 : 6601 452 78 5 6 \n", + "1 : 6634 421 79 6 2 \n", + "2 : 6595 429 107 6 5 \n", + "3 : 6647 402 86 6 1 \n", + "4 : 6593 433 101 10 5 \n", + "5 : 6624 435 72 7 4 \n", + "6 : 6566 466 98 8 4 \n", + "7 : 6594 443 93 8 4 \n", + "8 : 6631 419 82 7 3 \n", + "9 : 6641 415 72 8 6 \n", + "10 : 6619 428 82 10 3 \n", + "11 : 6601 446 83 6 6 \n", + "12 : 6589 453 90 8 2 \n", + "13 : 6640 417 88 6 3 \n", "\n", - "T : 92597 5937 1287 112 67 [100000]\n", + "T : 92575 6059 1211 101 54 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.2%\n", + "--- Coef/DT = 0.9%\n", "--- Adj/Tot = 0.3%\n", - "--- Update = 1.0410e-02 sec\n", - "--- Collate = 9.3913e-05 sec\n", + "--- Update = 3.6340e-03 sec\n", + "--- Collate = 2.6005e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.564568e-05 < 6.250000e-03 [32]\n", - "--- Max DT=3.057275e-01 > 1.000000e-01 [70769]\n", + "--- Min DT=8.507957e-05 < 6.250000e-03 [25]\n", + "--- Max DT=3.060319e-01 > 1.000000e-01 [70712]\n", "----------------------------------------------------------------------\n", - " Component | low: 32/100000\n", - " Component | high: 70769/100000\n", + " Component | low: 25/100000\n", + " Component | high: 70712/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=16.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0010407 [ 0.73 %]\n", - "Velocity : 0.00299619 [ 2.10 %]\n", - "Force : 0.0504938 [ 35.42 %]\n", - "Coefs : 0.0286197 [ 20.07 %]\n", - "Output : 0.00133799 [ 0.94 %]\n", - "Levels : 0.0002409 [ 0.17 %]\n", - "Report : 8.22e-07 [ 0.00 %]\n", - "Balance : 3.54e-07 [ 0.00 %]\n", - "Adjust : 0.0577937 [ 40.54 %]\n", - "Total : 0.142574 [100.00 %]\n", + "Drift : 0.000325322 [ 0.76 %]\n", + "Velocity : 0.000762452 [ 1.78 %]\n", + "Force : 0.015944 [ 37.32 %]\n", + "Coefs : 0.00663335 [ 15.53 %]\n", + "Output : 0.000568354 [ 1.33 %]\n", + "Levels : 0.000110232 [ 0.26 %]\n", + "Report : 2.31e-07 [ 0.00 %]\n", + "Balance : 1.56e-07 [ 0.00 %]\n", + "Adjust : 0.0183562 [ 42.97 %]\n", + "Total : 0.0427177 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6627 389 111 10 5 \n", - "1 : 6614 428 87 9 4 \n", - "2 : 6611 433 85 10 3 \n", - "3 : 6636 421 72 7 6 \n", - "4 : 6629 404 98 7 4 \n", - "5 : 6591 448 88 10 5 \n", - "6 : 6620 417 96 5 4 \n", - "7 : 6576 450 95 9 12 \n", - "8 : 6630 419 79 8 6 \n", - "9 : 6618 425 92 5 2 \n", - "10 : 6641 388 98 9 6 \n", - "11 : 6572 460 101 7 2 \n", - "12 : 6624 419 87 6 6 \n", - "13 : 6604 443 93 10 4 \n", + "0 : 6605 449 77 5 6 \n", + "1 : 6634 421 77 9 1 \n", + "2 : 6590 437 104 4 7 \n", + "3 : 6648 402 84 7 1 \n", + "4 : 6595 431 101 11 4 \n", + "5 : 6624 435 73 6 4 \n", + "6 : 6567 466 98 6 5 \n", + "7 : 6594 444 92 8 4 \n", + "8 : 6631 420 81 6 4 \n", + "9 : 6635 420 73 8 6 \n", + "10 : 6617 429 84 9 3 \n", + "11 : 6599 448 83 6 6 \n", + "12 : 6589 454 90 7 2 \n", + "13 : 6643 415 87 7 2 \n", "\n", - "T : 92593 5944 1282 112 69 [100000]\n", + "T : 92571 6071 1204 99 55 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.1%\n", - "--- Adj/Tot = 0.3%\n", - "--- Update = 1.0387e-02 sec\n", - "--- Collate = 7.2000e-05 sec\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.6479e-03 sec\n", + "--- Collate = 3.5684e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.773014e-05 < 6.250000e-03 [32]\n", - "--- Max DT=3.057349e-01 > 1.000000e-01 [70771]\n", + "--- Min DT=2.407542e-05 < 6.250000e-03 [26]\n", + "--- Max DT=3.060461e-01 > 1.000000e-01 [70746]\n", "----------------------------------------------------------------------\n", - " Component | low: 32/100000\n", - " Component | high: 70771/100000\n", + " Component | low: 26/100000\n", + " Component | high: 70746/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=16.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000618103 [ 0.48 %]\n", - "Velocity : 0.00198705 [ 1.56 %]\n", - "Force : 0.0481453 [ 37.70 %]\n", - "Coefs : 0.0179124 [ 14.03 %]\n", - "Output : 0.00131077 [ 1.03 %]\n", - "Levels : 0.000235485 [ 0.18 %]\n", - "Report : 5.55e-07 [ 0.00 %]\n", - "Balance : 3.45e-07 [ 0.00 %]\n", - "Adjust : 0.0574582 [ 44.99 %]\n", - "Total : 0.127713 [100.00 %]\n", + "Drift : 0.000322387 [ 0.76 %]\n", + "Velocity : 0.000771008 [ 1.82 %]\n", + "Force : 0.0156797 [ 36.98 %]\n", + "Coefs : 0.00665204 [ 15.69 %]\n", + "Output : 0.000574304 [ 1.35 %]\n", + "Levels : 0.000109669 [ 0.26 %]\n", + "Report : 1.69e-07 [ 0.00 %]\n", + "Balance : 1.64e-07 [ 0.00 %]\n", + "Adjust : 0.0182699 [ 43.09 %]\n", + "Total : 0.0423963 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6623 394 110 10 5 \n", - "1 : 6612 433 82 12 3 \n", - "2 : 6612 431 85 11 3 \n", - "3 : 6633 424 71 10 4 \n", - "4 : 6625 408 96 9 4 \n", - "5 : 6591 446 90 8 7 \n", - "6 : 6623 415 94 6 4 \n", - "7 : 6576 449 96 9 12 \n", - "8 : 6629 422 77 7 7 \n", - "9 : 6618 427 89 6 2 \n", - "10 : 6641 387 98 10 6 \n", - "11 : 6573 459 100 7 3 \n", - "12 : 6625 416 88 7 6 \n", - "13 : 6602 444 93 11 4 \n", + "0 : 6599 454 78 6 5 \n", + "1 : 6634 420 78 7 3 \n", + "2 : 6592 434 104 6 6 \n", + "3 : 6649 400 85 6 2 \n", + "4 : 6596 429 102 11 4 \n", + "5 : 6624 435 73 5 5 \n", + "6 : 6565 469 98 6 4 \n", + "7 : 6595 441 95 6 5 \n", + "8 : 6630 421 81 6 4 \n", + "9 : 6635 419 73 10 5 \n", + "10 : 6616 430 85 8 3 \n", + "11 : 6599 448 84 5 6 \n", + "12 : 6590 451 93 7 1 \n", + "13 : 6645 413 85 8 3 \n", "\n", - "T : 92583 5955 1269 123 70 [100000]\n", + "T : 92569 6064 1214 97 56 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.2%\n", - "--- Adj/Tot = 0.3%\n", - "--- Update = 1.0925e-02 sec\n", - "--- Collate = 8.3827e-05 sec\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.6200e-03 sec\n", + "--- Collate = 2.6268e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.325339e-04 < 6.250000e-03 [33]\n", - "--- Max DT=3.057427e-01 > 1.000000e-01 [70795]\n", + "--- Min DT=2.010100e-04 < 6.250000e-03 [32]\n", + "--- Max DT=3.060608e-01 > 1.000000e-01 [70768]\n", "----------------------------------------------------------------------\n", - " Component | low: 33/100000\n", - " Component | high: 70795/100000\n", + " Component | low: 32/100000\n", + " Component | high: 70768/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=16.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000976432 [ 0.77 %]\n", - "Velocity : 0.00257942 [ 2.02 %]\n", - "Force : 0.0463197 [ 36.35 %]\n", - "Coefs : 0.0173555 [ 13.62 %]\n", - "Output : 0.00133709 [ 1.05 %]\n", - "Levels : 0.000310428 [ 0.24 %]\n", - "Report : 9.46e-07 [ 0.00 %]\n", - "Balance : 7.76e-07 [ 0.00 %]\n", - "Adjust : 0.0585045 [ 45.91 %]\n", - "Total : 0.127435 [100.00 %]\n", + "Drift : 0.000338483 [ 0.80 %]\n", + "Velocity : 0.000770194 [ 1.81 %]\n", + "Force : 0.0156776 [ 36.92 %]\n", + "Coefs : 0.00666949 [ 15.70 %]\n", + "Output : 0.000570033 [ 1.34 %]\n", + "Levels : 0.000128019 [ 0.30 %]\n", + "Report : 1.88e-07 [ 0.00 %]\n", + "Balance : 1.7e-07 [ 0.00 %]\n", + "Adjust : 0.0182983 [ 43.09 %]\n", + "Total : 0.0424692 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6623 394 111 9 5 \n", - "1 : 6610 434 83 13 2 \n", - "2 : 6614 428 86 11 3 \n", - "3 : 6634 424 71 10 3 \n", - "4 : 6624 410 96 9 3 \n", - "5 : 6592 445 90 10 5 \n", - "6 : 6622 414 96 6 4 \n", - "7 : 6574 451 94 11 12 \n", - "8 : 6628 422 78 7 7 \n", - "9 : 6614 430 90 6 2 \n", - "10 : 6635 393 99 9 6 \n", - "11 : 6566 464 101 7 4 \n", - "12 : 6616 425 89 5 7 \n", - "13 : 6599 446 91 14 4 \n", + "0 : 6598 454 79 6 5 \n", + "1 : 6633 423 76 6 4 \n", + "2 : 6589 437 104 6 6 \n", + "3 : 6647 400 87 6 2 \n", + "4 : 6595 429 103 11 4 \n", + "5 : 6624 436 72 5 5 \n", + "6 : 6568 463 101 5 5 \n", + "7 : 6593 444 95 4 6 \n", + "8 : 6629 421 82 6 4 \n", + "9 : 6628 427 72 9 6 \n", + "10 : 6613 436 81 9 3 \n", + "11 : 6597 450 85 4 6 \n", + "12 : 6587 455 92 7 1 \n", + "13 : 6642 416 85 7 4 \n", "\n", - "T : 92551 5980 1275 127 67 [100000]\n", + "T : 92543 6091 1214 91 61 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.3%\n", - "--- Adj/Tot = 0.3%\n", - "--- Update = 1.1329e-02 sec\n", - "--- Collate = 1.0623e-04 sec\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.6778e-03 sec\n", + "--- Collate = 2.5944e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.033172e-05 < 6.250000e-03 [38]\n", - "--- Max DT=3.057503e-01 > 1.000000e-01 [70798]\n", + "--- Min DT=5.806353e-05 < 6.250000e-03 [32]\n", + "--- Max DT=3.060748e-01 > 1.000000e-01 [70774]\n", "----------------------------------------------------------------------\n", - " Component | low: 38/100000\n", - " Component | high: 70798/100000\n", + " Component | low: 32/100000\n", + " Component | high: 70774/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=17] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00106384 [ 0.73 %]\n", - "Velocity : 0.00268156 [ 1.85 %]\n", - "Force : 0.0508459 [ 35.10 %]\n", - "Coefs : 0.0202779 [ 14.00 %]\n", - "Output : 0.00800699 [ 5.53 %]\n", - "Levels : 0.000277841 [ 0.19 %]\n", - "Report : 9.69e-07 [ 0.00 %]\n", - "Balance : 5.68e-07 [ 0.00 %]\n", - "Adjust : 0.0616639 [ 42.57 %]\n", - "Total : 0.14487 [100.00 %]\n", + "Drift : 0.00032368 [ 0.71 %]\n", + "Velocity : 0.000776043 [ 1.71 %]\n", + "Force : 0.0158021 [ 34.85 %]\n", + "Coefs : 0.00663144 [ 14.62 %]\n", + "Output : 0.0027566 [ 6.08 %]\n", + "Levels : 0.00012561 [ 0.28 %]\n", + "Report : 3.18e-07 [ 0.00 %]\n", + "Balance : 2.59e-07 [ 0.00 %]\n", + "Adjust : 0.0189109 [ 41.70 %]\n", + "Total : 0.0453447 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6615 401 112 9 5 \n", - "1 : 6607 436 85 11 3 \n", - "2 : 6614 428 88 8 4 \n", - "3 : 6634 421 76 8 3 \n", - "4 : 6627 407 96 9 3 \n", - "5 : 6593 444 90 10 5 \n", - "6 : 6622 418 92 6 4 \n", - "7 : 6573 453 93 11 12 \n", - "8 : 6628 422 78 9 5 \n", - "9 : 6613 429 91 7 2 \n", - "10 : 6635 393 98 11 5 \n", - "11 : 6567 466 97 8 4 \n", - "12 : 6617 425 89 4 7 \n", - "13 : 6604 439 94 14 3 \n", + "0 : 6594 456 81 7 4 \n", + "1 : 6632 423 77 6 4 \n", + "2 : 6588 437 104 7 6 \n", + "3 : 6650 399 85 5 3 \n", + "4 : 6596 428 104 8 6 \n", + "5 : 6624 437 70 6 5 \n", + "6 : 6564 468 99 5 6 \n", + "7 : 6592 444 96 4 6 \n", + "8 : 6629 422 81 6 4 \n", + "9 : 6629 427 71 9 6 \n", + "10 : 6615 430 84 9 4 \n", + "11 : 6593 454 85 5 5 \n", + "12 : 6584 459 91 7 1 \n", + "13 : 6640 418 85 5 6 \n", "\n", - "T : 92549 5982 1279 125 65 [100000]\n", + "T : 92530 6102 1213 89 66 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.2%\n", - "--- Adj/Tot = 0.3%\n", - "--- Update = 1.1475e-02 sec\n", - "--- Collate = 8.6684e-05 sec\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.7078e-03 sec\n", + "--- Collate = 2.6161e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.705519e-05 < 6.250000e-03 [38]\n", - "--- Max DT=3.057586e-01 > 1.000000e-01 [70794]\n", + "--- Min DT=1.182592e-04 < 6.250000e-03 [35]\n", + "--- Max DT=3.060895e-01 > 1.000000e-01 [70808]\n", "----------------------------------------------------------------------\n", - " Component | low: 38/100000\n", - " Component | high: 70794/100000\n", + " Component | low: 35/100000\n", + " Component | high: 70808/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=17.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00100732 [ 0.73 %]\n", - "Velocity : 0.00214013 [ 1.56 %]\n", - "Force : 0.0516338 [ 37.55 %]\n", - "Coefs : 0.0198786 [ 14.46 %]\n", - "Output : 0.00152704 [ 1.11 %]\n", - "Levels : 0.00025245 [ 0.18 %]\n", - "Report : 5.84e-07 [ 0.00 %]\n", - "Balance : 3.79e-07 [ 0.00 %]\n", - "Adjust : 0.061001 [ 44.37 %]\n", - "Total : 0.137491 [100.00 %]\n", + "Drift : 0.00036543 [ 0.86 %]\n", + "Velocity : 0.000741518 [ 1.75 %]\n", + "Force : 0.0157211 [ 37.01 %]\n", + "Coefs : 0.006604 [ 15.55 %]\n", + "Output : 0.000572385 [ 1.35 %]\n", + "Levels : 0.000120983 [ 0.28 %]\n", + "Report : 2.25e-07 [ 0.00 %]\n", + "Balance : 1.81e-07 [ 0.00 %]\n", + "Adjust : 0.018339 [ 43.17 %]\n", + "Total : 0.042481 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6613 401 114 10 4 \n", - "1 : 6604 439 86 9 4 \n", - "2 : 6613 428 89 7 5 \n", - "3 : 6629 427 76 7 3 \n", - "4 : 6622 413 95 8 4 \n", - "5 : 6593 442 91 9 7 \n", - "6 : 6621 417 93 9 2 \n", - "7 : 6570 456 93 12 11 \n", - "8 : 6627 424 76 9 6 \n", - "9 : 6612 429 91 8 2 \n", - "10 : 6629 396 102 10 5 \n", - "11 : 6569 464 96 9 4 \n", - "12 : 6617 425 92 2 6 \n", - "13 : 6605 437 98 12 2 \n", + "0 : 6591 459 80 8 4 \n", + "1 : 6628 427 78 5 4 \n", + "2 : 6590 435 104 9 4 \n", + "3 : 6649 400 86 4 3 \n", + "4 : 6592 432 103 9 6 \n", + "5 : 6621 439 71 6 5 \n", + "6 : 6564 470 97 6 5 \n", + "7 : 6589 444 99 4 6 \n", + "8 : 6628 425 79 6 4 \n", + "9 : 6631 423 74 8 6 \n", + "10 : 6617 428 85 7 5 \n", + "11 : 6593 453 86 4 6 \n", + "12 : 6585 457 91 9 0 \n", + "13 : 6640 417 86 5 6 \n", "\n", - "T : 92524 5998 1292 121 65 [100000]\n", + "T : 92518 6109 1219 90 64 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.1%\n", + "--- Coef/DT = 0.9%\n", "--- Adj/Tot = 0.3%\n", - "--- Update = 1.1747e-02 sec\n", - "--- Collate = 1.1092e-04 sec\n", + "--- Update = 3.6971e-03 sec\n", + "--- Collate = 2.8424e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.247638e-04 < 6.250000e-03 [36]\n", - "--- Max DT=3.057659e-01 > 1.000000e-01 [70804]\n", + "--- Min DT=2.685373e-05 < 6.250000e-03 [38]\n", + "--- Max DT=3.061047e-01 > 1.000000e-01 [70807]\n", "----------------------------------------------------------------------\n", - " Component | low: 36/100000\n", - " Component | high: 70804/100000\n", + " Component | low: 38/100000\n", + " Component | high: 70807/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=17.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00115597 [ 0.82 %]\n", - "Velocity : 0.0026589 [ 1.89 %]\n", - "Force : 0.0524735 [ 37.31 %]\n", - "Coefs : 0.0192273 [ 13.67 %]\n", - "Output : 0.00143173 [ 1.02 %]\n", - "Levels : 0.000251943 [ 0.18 %]\n", - "Report : 9.01e-07 [ 0.00 %]\n", - "Balance : 3.7e-07 [ 0.00 %]\n", - "Adjust : 0.0633922 [ 45.07 %]\n", - "Total : 0.140643 [100.00 %]\n", + "Drift : 0.000328235 [ 0.77 %]\n", + "Velocity : 0.000771618 [ 1.81 %]\n", + "Force : 0.0158091 [ 37.10 %]\n", + "Coefs : 0.00667018 [ 15.65 %]\n", + "Output : 0.000539722 [ 1.27 %]\n", + "Levels : 0.000113174 [ 0.27 %]\n", + "Report : 2.23e-07 [ 0.00 %]\n", + "Balance : 1.58e-07 [ 0.00 %]\n", + "Adjust : 0.0183681 [ 43.10 %]\n", + "Total : 0.042617 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6610 407 111 11 3 \n", - "1 : 6602 442 86 7 5 \n", - "2 : 6612 430 90 5 5 \n", - "3 : 6626 429 76 8 3 \n", - "4 : 6620 414 95 8 5 \n", - "5 : 6589 446 89 11 7 \n", - "6 : 6619 418 95 7 3 \n", - "7 : 6573 455 91 11 12 \n", - "8 : 6626 424 76 11 5 \n", - "9 : 6608 434 88 10 2 \n", - "10 : 6628 397 102 11 4 \n", - "11 : 6566 469 95 8 4 \n", - "12 : 6612 429 93 2 6 \n", - "13 : 6603 440 97 10 4 \n", + "0 : 6589 461 79 8 5 \n", + "1 : 6628 425 80 6 3 \n", + "2 : 6588 436 106 8 4 \n", + "3 : 6645 406 82 6 3 \n", + "4 : 6590 434 104 10 4 \n", + "5 : 6618 444 68 8 4 \n", + "6 : 6562 473 96 6 5 \n", + "7 : 6590 444 99 2 7 \n", + "8 : 6628 428 76 6 4 \n", + "9 : 6629 425 74 8 6 \n", + "10 : 6615 430 84 9 4 \n", + "11 : 6590 458 85 2 7 \n", + "12 : 6583 459 91 8 1 \n", + "13 : 6640 420 84 5 5 \n", "\n", - "T : 92494 6034 1284 120 68 [100000]\n", + "T : 92495 6143 1208 92 62 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.2%\n", + "--- Coef/DT = 0.9%\n", "--- Adj/Tot = 0.3%\n", - "--- Update = 1.0272e-02 sec\n", - "--- Collate = 6.5111e-05 sec\n", + "--- Update = 3.6428e-03 sec\n", + "--- Collate = 2.5542e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.061597e-05 < 6.250000e-03 [38]\n", - "--- Max DT=3.057739e-01 > 1.000000e-01 [70794]\n", + "--- Min DT=5.844558e-05 < 6.250000e-03 [35]\n", + "--- Max DT=3.061193e-01 > 1.000000e-01 [70818]\n", "----------------------------------------------------------------------\n", - " Component | low: 38/100000\n", - " Component | high: 70794/100000\n", + " Component | low: 35/100000\n", + " Component | high: 70818/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=17.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00115318 [ 0.90 %]\n", - "Velocity : 0.00219841 [ 1.71 %]\n", - "Force : 0.0469096 [ 36.48 %]\n", - "Coefs : 0.0189803 [ 14.76 %]\n", - "Output : 0.00132206 [ 1.03 %]\n", - "Levels : 0.000272772 [ 0.21 %]\n", - "Report : 6.36e-07 [ 0.00 %]\n", - "Balance : 2.67e-07 [ 0.00 %]\n", - "Adjust : 0.0576925 [ 44.87 %]\n", - "Total : 0.128574 [100.00 %]\n", + "Drift : 0.000327334 [ 0.77 %]\n", + "Velocity : 0.000759382 [ 1.79 %]\n", + "Force : 0.0157705 [ 37.21 %]\n", + "Coefs : 0.006627 [ 15.64 %]\n", + "Output : 0.000546971 [ 1.29 %]\n", + "Levels : 0.000123899 [ 0.29 %]\n", + "Report : 2.14e-07 [ 0.00 %]\n", + "Balance : 1.69e-07 [ 0.00 %]\n", + "Adjust : 0.018211 [ 42.97 %]\n", + "Total : 0.0423827 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6605 412 111 11 3 \n", - "1 : 6602 439 89 6 6 \n", - "2 : 6612 432 88 5 5 \n", - "3 : 6620 433 78 8 3 \n", - "4 : 6618 415 96 8 5 \n", - "5 : 6587 444 92 12 7 \n", - "6 : 6614 421 97 7 3 \n", - "7 : 6571 456 93 11 11 \n", - "8 : 6622 429 75 11 5 \n", - "9 : 6608 434 89 8 3 \n", - "10 : 6625 402 99 11 5 \n", - "11 : 6565 469 95 9 4 \n", - "12 : 6607 432 95 4 4 \n", - "13 : 6600 445 94 11 4 \n", + "0 : 6594 456 77 11 4 \n", + "1 : 6629 426 77 5 5 \n", + "2 : 6584 442 104 6 6 \n", + "3 : 6641 411 81 7 2 \n", + "4 : 6587 436 105 10 4 \n", + "5 : 6616 446 69 7 4 \n", + "6 : 6559 474 98 6 5 \n", + "7 : 6586 447 100 3 6 \n", + "8 : 6626 429 76 9 2 \n", + "9 : 6630 424 76 6 6 \n", + "10 : 6614 433 82 8 5 \n", + "11 : 6588 459 84 4 7 \n", + "12 : 6585 459 88 8 2 \n", + "13 : 6637 423 84 4 6 \n", "\n", - "T : 92456 6063 1291 122 68 [100000]\n", + "T : 92476 6165 1201 94 64 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.4%\n", + "--- Coef/DT = 0.9%\n", "--- Adj/Tot = 0.3%\n", - "--- Update = 1.0626e-02 sec\n", - "--- Collate = 8.6803e-05 sec\n", + "--- Update = 3.6403e-03 sec\n", + "--- Collate = 2.5446e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.337699e-05 < 6.250000e-03 [33]\n", - "--- Max DT=3.057826e-01 > 1.000000e-01 [70787]\n", + "--- Min DT=9.466901e-05 < 6.250000e-03 [32]\n", + "--- Max DT=3.061344e-01 > 1.000000e-01 [70841]\n", "----------------------------------------------------------------------\n", - " Component | low: 33/100000\n", - " Component | high: 70787/100000\n", + " Component | low: 32/100000\n", + " Component | high: 70841/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=17.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00107004 [ 0.85 %]\n", - "Velocity : 0.00249641 [ 1.98 %]\n", - "Force : 0.0452674 [ 35.85 %]\n", - "Coefs : 0.018297 [ 14.49 %]\n", - "Output : 0.00131655 [ 1.04 %]\n", - "Levels : 0.000233375 [ 0.18 %]\n", - "Report : 1.001e-06 [ 0.00 %]\n", - "Balance : 2.99e-07 [ 0.00 %]\n", - "Adjust : 0.0575479 [ 45.57 %]\n", - "Total : 0.126276 [100.00 %]\n", + "Drift : 0.00032435 [ 0.75 %]\n", + "Velocity : 0.000763869 [ 1.78 %]\n", + "Force : 0.0159184 [ 37.04 %]\n", + "Coefs : 0.00663713 [ 15.44 %]\n", + "Output : 0.000579859 [ 1.35 %]\n", + "Levels : 0.00011605 [ 0.27 %]\n", + "Report : 2.35e-07 [ 0.00 %]\n", + "Balance : 1.67e-07 [ 0.00 %]\n", + "Adjust : 0.0186223 [ 43.33 %]\n", + "Total : 0.04298 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6604 410 116 9 3 \n", - "1 : 6601 440 90 6 5 \n", - "2 : 6613 430 89 5 5 \n", - "3 : 6616 436 78 9 3 \n", - "4 : 6623 411 95 7 6 \n", - "5 : 6588 444 91 14 5 \n", - "6 : 6615 419 101 4 3 \n", - "7 : 6570 458 93 11 10 \n", - "8 : 6623 427 76 11 5 \n", - "9 : 6607 433 91 8 3 \n", - "10 : 6624 405 98 9 6 \n", - "11 : 6563 473 93 10 3 \n", - "12 : 6601 437 96 4 4 \n", - "13 : 6601 443 96 11 3 \n", + "0 : 6591 458 81 9 3 \n", + "1 : 6628 426 78 6 4 \n", + "2 : 6583 442 104 6 7 \n", + "3 : 6639 412 82 7 2 \n", + "4 : 6581 440 106 11 4 \n", + "5 : 6612 451 67 8 4 \n", + "6 : 6558 475 99 5 5 \n", + "7 : 6585 451 96 4 6 \n", + "8 : 6623 433 74 10 2 \n", + "9 : 6627 425 76 7 7 \n", + "10 : 6612 433 83 9 5 \n", + "11 : 6585 461 87 3 6 \n", + "12 : 6586 458 90 6 2 \n", + "13 : 6635 426 82 5 6 \n", "\n", - "T : 92449 6066 1303 118 64 [100000]\n", + "T : 92445 6191 1205 96 63 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.3%\n", + "--- Coef/DT = 1.1%\n", "--- Adj/Tot = 0.3%\n", - "--- Update = 1.0803e-02 sec\n", - "--- Collate = 9.2617e-05 sec\n", + "--- Update = 3.6843e-03 sec\n", + "--- Collate = 2.4668e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.533039e-05 < 6.250000e-03 [30]\n", - "--- Max DT=3.057917e-01 > 1.000000e-01 [70803]\n", + "--- Min DT=2.578564e-05 < 6.250000e-03 [27]\n", + "--- Max DT=3.061504e-01 > 1.000000e-01 [70858]\n", "----------------------------------------------------------------------\n", - " Component | low: 30/100000\n", - " Component | high: 70803/100000\n", + " Component | low: 27/100000\n", + " Component | high: 70858/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=17.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000969636 [ 0.76 %]\n", - "Velocity : 0.00236725 [ 1.84 %]\n", - "Force : 0.0466308 [ 36.32 %]\n", - "Coefs : 0.017466 [ 13.61 %]\n", - "Output : 0.00140477 [ 1.09 %]\n", - "Levels : 0.000231224 [ 0.18 %]\n", - "Report : 8.55e-07 [ 0.00 %]\n", - "Balance : 7.77e-07 [ 0.00 %]\n", - "Adjust : 0.0592596 [ 46.16 %]\n", - "Total : 0.128378 [100.00 %]\n", + "Drift : 0.00032994 [ 0.76 %]\n", + "Velocity : 0.000790282 [ 1.83 %]\n", + "Force : 0.0159608 [ 36.87 %]\n", + "Coefs : 0.00668786 [ 15.45 %]\n", + "Output : 0.000577615 [ 1.33 %]\n", + "Levels : 0.000118829 [ 0.27 %]\n", + "Report : 2.11e-07 [ 0.00 %]\n", + "Balance : 1.8e-07 [ 0.00 %]\n", + "Adjust : 0.0188098 [ 43.45 %]\n", + "Total : 0.0432931 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6599 416 115 8 4 \n", - "1 : 6601 441 87 7 6 \n", - "2 : 6613 429 91 3 6 \n", - "3 : 6613 441 77 7 4 \n", - "4 : 6627 407 94 9 5 \n", - "5 : 6585 446 93 12 6 \n", - "6 : 6613 418 104 5 2 \n", - "7 : 6571 459 90 12 10 \n", - "8 : 6619 432 74 12 5 \n", - "9 : 6606 433 91 9 3 \n", - "10 : 6621 406 102 11 2 \n", - "11 : 6563 473 94 7 5 \n", - "12 : 6601 435 98 3 5 \n", - "13 : 6601 443 99 8 3 \n", + "0 : 6592 456 82 10 2 \n", + "1 : 6631 423 78 7 3 \n", + "2 : 6584 441 104 3 10 \n", + "3 : 6637 413 83 5 4 \n", + "4 : 6578 442 107 12 3 \n", + "5 : 6611 449 70 8 4 \n", + "6 : 6558 476 99 5 4 \n", + "7 : 6585 449 99 3 6 \n", + "8 : 6620 435 75 10 2 \n", + "9 : 6627 424 78 5 8 \n", + "10 : 6608 437 82 11 4 \n", + "11 : 6585 459 89 5 4 \n", + "12 : 6588 457 88 6 3 \n", + "13 : 6634 426 83 5 6 \n", "\n", - "T : 92433 6079 1309 113 66 [100000]\n", + "T : 92438 6187 1217 95 63 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.4%\n", + "--- Coef/DT = 1.0%\n", "--- Adj/Tot = 0.3%\n", - "--- Update = 1.0428e-02 sec\n", - "--- Collate = 6.5814e-05 sec\n", + "--- Update = 3.7188e-03 sec\n", + "--- Collate = 2.5903e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.843969e-05 < 6.250000e-03 [27]\n", - "--- Max DT=3.058001e-01 > 1.000000e-01 [70789]\n", + "--- Min DT=1.390342e-04 < 6.250000e-03 [29]\n", + "--- Max DT=3.061663e-01 > 1.000000e-01 [70854]\n", "----------------------------------------------------------------------\n", - " Component | low: 27/100000\n", - " Component | high: 70789/100000\n", + " Component | low: 29/100000\n", + " Component | high: 70854/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=17.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00111163 [ 0.86 %]\n", - "Velocity : 0.002627 [ 2.04 %]\n", - "Force : 0.0466001 [ 36.11 %]\n", - "Coefs : 0.0170349 [ 13.20 %]\n", - "Output : 0.00139674 [ 1.08 %]\n", - "Levels : 0.000218411 [ 0.17 %]\n", - "Report : 6.34e-07 [ 0.00 %]\n", - "Balance : 3.07e-07 [ 0.00 %]\n", - "Adjust : 0.0600234 [ 46.51 %]\n", - "Total : 0.12906 [100.00 %]\n", + "Drift : 0.000349178 [ 0.80 %]\n", + "Velocity : 0.00078376 [ 1.80 %]\n", + "Force : 0.0160396 [ 36.75 %]\n", + "Coefs : 0.00671191 [ 15.38 %]\n", + "Output : 0.000578016 [ 1.32 %]\n", + "Levels : 0.000118439 [ 0.27 %]\n", + "Report : 2.02e-07 [ 0.00 %]\n", + "Balance : 1.81e-07 [ 0.00 %]\n", + "Adjust : 0.0190491 [ 43.64 %]\n", + "Total : 0.0436484 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6598 415 116 8 5 \n", - "1 : 6599 442 88 6 7 \n", - "2 : 6613 429 91 4 5 \n", - "3 : 6613 443 75 7 4 \n", - "4 : 6627 406 94 8 7 \n", - "5 : 6581 450 93 13 5 \n", - "6 : 6613 418 104 4 3 \n", - "7 : 6574 456 90 14 8 \n", - "8 : 6621 431 73 12 5 \n", - "9 : 6601 438 91 10 2 \n", - "10 : 6621 407 100 12 2 \n", - "11 : 6565 473 93 6 5 \n", - "12 : 6600 435 98 7 2 \n", - "13 : 6602 443 100 6 3 \n", + "0 : 6591 458 82 7 4 \n", + "1 : 6631 424 76 7 4 \n", + "2 : 6576 448 106 3 9 \n", + "3 : 6635 413 86 4 4 \n", + "4 : 6578 442 109 10 3 \n", + "5 : 6609 451 70 8 4 \n", + "6 : 6555 480 99 5 3 \n", + "7 : 6582 454 97 3 6 \n", + "8 : 6619 435 77 9 2 \n", + "9 : 6622 430 76 7 7 \n", + "10 : 6604 443 81 10 4 \n", + "11 : 6578 465 91 4 4 \n", + "12 : 6588 462 83 7 2 \n", + "13 : 6634 426 85 4 5 \n", "\n", - "T : 92428 6086 1306 117 63 [100000]\n", + "T : 92402 6231 1218 88 61 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.7%\n", + "--- Coef/DT = 1.1%\n", "--- Adj/Tot = 0.3%\n", - "--- Update = 1.1478e-02 sec\n", - "--- Collate = 8.2208e-05 sec\n", + "--- Update = 3.7146e-03 sec\n", + "--- Collate = 2.5142e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.738966e-05 < 6.250000e-03 [28]\n", - "--- Max DT=3.058089e-01 > 1.000000e-01 [70767]\n", + "--- Min DT=2.058888e-04 < 6.250000e-03 [31]\n", + "--- Max DT=3.061816e-01 > 1.000000e-01 [70861]\n", "----------------------------------------------------------------------\n", - " Component | low: 28/100000\n", - " Component | high: 70767/100000\n", + " Component | low: 31/100000\n", + " Component | high: 70861/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=17.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00100546 [ 0.76 %]\n", - "Velocity : 0.00208109 [ 1.58 %]\n", - "Force : 0.0481715 [ 36.57 %]\n", - "Coefs : 0.0188326 [ 14.30 %]\n", - "Output : 0.00122738 [ 0.93 %]\n", - "Levels : 0.000304814 [ 0.23 %]\n", - "Report : 7.29e-07 [ 0.00 %]\n", - "Balance : 7.62e-07 [ 0.00 %]\n", - "Adjust : 0.0600367 [ 45.58 %]\n", - "Total : 0.131709 [100.00 %]\n", + "Drift : 0.000338848 [ 0.78 %]\n", + "Velocity : 0.000780069 [ 1.80 %]\n", + "Force : 0.0160057 [ 36.95 %]\n", + "Coefs : 0.00666645 [ 15.39 %]\n", + "Output : 0.00056954 [ 1.31 %]\n", + "Levels : 0.000131855 [ 0.30 %]\n", + "Report : 1.82e-07 [ 0.00 %]\n", + "Balance : 1.8e-07 [ 0.00 %]\n", + "Adjust : 0.0188077 [ 43.42 %]\n", + "Total : 0.043317 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6596 419 115 6 6 \n", - "1 : 6597 443 88 7 7 \n", - "2 : 6613 428 92 3 6 \n", - "3 : 6611 444 76 7 4 \n", - "4 : 6624 410 94 7 7 \n", - "5 : 6579 451 95 11 6 \n", - "6 : 6613 420 102 5 2 \n", - "7 : 6574 459 87 16 6 \n", - "8 : 6621 429 76 11 5 \n", - "9 : 6601 436 94 11 0 \n", - "10 : 6616 411 99 13 3 \n", - "11 : 6565 474 91 9 3 \n", - "12 : 6600 434 99 8 1 \n", - "13 : 6597 444 103 7 3 \n", + "0 : 6589 462 79 7 5 \n", + "1 : 6630 426 74 8 4 \n", + "2 : 6574 451 104 6 7 \n", + "3 : 6633 412 89 4 4 \n", + "4 : 6576 443 109 10 4 \n", + "5 : 6609 449 71 9 4 \n", + "6 : 6559 476 97 7 3 \n", + "7 : 6583 453 98 3 5 \n", + "8 : 6611 441 79 9 2 \n", + "9 : 6623 430 75 9 5 \n", + "10 : 6602 444 83 9 4 \n", + "11 : 6580 461 92 6 3 \n", + "12 : 6588 461 83 7 3 \n", + "13 : 6633 426 86 5 4 \n", "\n", - "T : 92407 6102 1311 121 59 [100000]\n", + "T : 92390 6235 1219 99 57 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.4%\n", + "--- Coef/DT = 0.9%\n", "--- Adj/Tot = 0.3%\n", - "--- Update = 1.1467e-02 sec\n", - "--- Collate = 8.0631e-05 sec\n", + "--- Update = 3.7023e-03 sec\n", + "--- Collate = 2.4313e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.809974e-05 < 6.250000e-03 [33]\n", - "--- Max DT=3.058175e-01 > 1.000000e-01 [70780]\n", + "--- Min DT=1.319189e-04 < 6.250000e-03 [26]\n", + "--- Max DT=3.061984e-01 > 1.000000e-01 [70866]\n", "----------------------------------------------------------------------\n", - " Component | low: 33/100000\n", - " Component | high: 70780/100000\n", + " Component | low: 26/100000\n", + " Component | high: 70866/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=17.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000653978 [ 0.48 %]\n", - "Velocity : 0.00200433 [ 1.47 %]\n", - "Force : 0.0514981 [ 37.71 %]\n", - "Coefs : 0.0205771 [ 15.07 %]\n", - "Output : 0.00122994 [ 0.90 %]\n", - "Levels : 0.000251053 [ 0.18 %]\n", - "Report : 9.43e-07 [ 0.00 %]\n", - "Balance : 3.87e-07 [ 0.00 %]\n", - "Adjust : 0.060308 [ 44.16 %]\n", - "Total : 0.136572 [100.00 %]\n", + "Drift : 0.000334172 [ 0.77 %]\n", + "Velocity : 0.000782914 [ 1.81 %]\n", + "Force : 0.0158751 [ 36.75 %]\n", + "Coefs : 0.00662745 [ 15.34 %]\n", + "Output : 0.000554349 [ 1.28 %]\n", + "Levels : 0.000126343 [ 0.29 %]\n", + "Report : 2.29e-07 [ 0.00 %]\n", + "Balance : 1.81e-07 [ 0.00 %]\n", + "Adjust : 0.0188797 [ 43.70 %]\n", + "Total : 0.0431982 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6596 419 113 8 6 \n", - "1 : 6592 447 89 7 7 \n", - "2 : 6614 425 94 5 4 \n", - "3 : 6614 441 76 6 5 \n", - "4 : 6624 406 97 7 8 \n", - "5 : 6572 456 95 13 6 \n", - "6 : 6608 426 100 6 2 \n", - "7 : 6572 460 88 15 7 \n", - "8 : 6620 429 76 11 6 \n", - "9 : 6597 440 95 9 1 \n", - "10 : 6614 414 97 11 6 \n", - "11 : 6566 475 88 11 2 \n", - "12 : 6605 429 99 8 1 \n", - "13 : 6598 441 104 7 4 \n", + "0 : 6589 460 81 7 5 \n", + "1 : 6629 429 72 9 3 \n", + "2 : 6568 456 104 7 7 \n", + "3 : 6628 414 91 5 4 \n", + "4 : 6575 444 109 8 6 \n", + "5 : 6607 449 73 8 5 \n", + "6 : 6560 473 99 7 3 \n", + "7 : 6585 451 98 4 4 \n", + "8 : 6608 445 78 9 2 \n", + "9 : 6618 433 78 9 4 \n", + "10 : 6599 445 85 9 4 \n", + "11 : 6578 460 94 6 4 \n", + "12 : 6590 461 80 7 4 \n", + "13 : 6633 426 86 4 5 \n", "\n", - "T : 92392 6108 1311 124 65 [100000]\n", + "T : 92367 6246 1228 99 60 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.6%\n", - "--- Adj/Tot = 0.4%\n", - "--- Update = 1.1334e-02 sec\n", - "--- Collate = 1.4179e-04 sec\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 3.6586e-03 sec\n", + "--- Collate = 2.4116e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.234610e-07 < 6.250000e-03 [32]\n", - "--- Max DT=3.058259e-01 > 1.000000e-01 [70799]\n", + "--- Min DT=1.567104e-05 < 6.250000e-03 [28]\n", + "--- Max DT=3.062146e-01 > 1.000000e-01 [70898]\n", "----------------------------------------------------------------------\n", - " Component | low: 32/100000\n", - " Component | high: 70799/100000\n", + " Component | low: 28/100000\n", + " Component | high: 70898/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=17.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00109545 [ 0.78 %]\n", - "Velocity : 0.00277524 [ 1.99 %]\n", - "Force : 0.0524284 [ 37.55 %]\n", - "Coefs : 0.0203212 [ 14.55 %]\n", - "Output : 0.00136064 [ 0.97 %]\n", - "Levels : 0.000252313 [ 0.18 %]\n", - "Report : 7.25e-07 [ 0.00 %]\n", - "Balance : 3.98e-07 [ 0.00 %]\n", - "Adjust : 0.0613558 [ 43.94 %]\n", - "Total : 0.13964 [100.00 %]\n", + "Drift : 0.000336812 [ 0.78 %]\n", + "Velocity : 0.000783313 [ 1.82 %]\n", + "Force : 0.0159399 [ 36.94 %]\n", + "Coefs : 0.00664791 [ 15.41 %]\n", + "Output : 0.000561008 [ 1.30 %]\n", + "Levels : 0.000112896 [ 0.26 %]\n", + "Report : 1.96e-07 [ 0.00 %]\n", + "Balance : 1.79e-07 [ 0.00 %]\n", + "Adjust : 0.0187545 [ 43.46 %]\n", + "Total : 0.0431529 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6596 419 113 7 7 \n", - "1 : 6587 449 92 5 9 \n", - "2 : 6616 422 95 5 4 \n", - "3 : 6615 440 76 6 5 \n", - "4 : 6622 408 95 8 9 \n", - "5 : 6574 454 94 12 8 \n", - "6 : 6610 423 100 6 3 \n", - "7 : 6569 465 86 14 8 \n", - "8 : 6618 431 77 12 4 \n", - "9 : 6599 438 95 9 1 \n", - "10 : 6613 413 98 13 5 \n", - "11 : 6564 481 83 11 3 \n", - "12 : 6602 430 99 10 1 \n", - "13 : 6597 440 104 10 3 \n", + "0 : 6587 461 81 9 4 \n", + "1 : 6623 433 73 9 4 \n", + "2 : 6569 456 103 5 9 \n", + "3 : 6627 415 91 6 3 \n", + "4 : 6574 443 112 6 7 \n", + "5 : 6605 451 73 7 6 \n", + "6 : 6555 476 102 8 1 \n", + "7 : 6581 457 95 6 3 \n", + "8 : 6605 447 78 9 3 \n", + "9 : 6618 432 79 9 4 \n", + "10 : 6595 448 85 11 3 \n", + "11 : 6577 461 94 6 4 \n", + "12 : 6589 459 83 7 4 \n", + "13 : 6635 423 86 6 4 \n", "\n", - "T : 92382 6113 1307 128 70 [100000]\n", + "T : 92340 6262 1235 104 59 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 1.0%\n", "--- Adj/Tot = 0.3%\n", - "--- Update = 1.0140e-02 sec\n", - "--- Collate = 8.1937e-05 sec\n", + "--- Update = 3.6246e-03 sec\n", + "--- Collate = 2.2779e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.221138e-05 < 6.250000e-03 [35]\n", - "--- Max DT=3.058342e-01 > 1.000000e-01 [70804]\n", + "--- Min DT=2.041896e-04 < 6.250000e-03 [28]\n", + "--- Max DT=3.062310e-01 > 1.000000e-01 [70915]\n", "----------------------------------------------------------------------\n", - " Component | low: 35/100000\n", - " Component | high: 70804/100000\n", + " Component | low: 28/100000\n", + " Component | high: 70915/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=18] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00100918 [ 0.72 %]\n", - "Velocity : 0.00242818 [ 1.73 %]\n", - "Force : 0.0511609 [ 36.53 %]\n", - "Coefs : 0.0201347 [ 14.38 %]\n", - "Output : 0.00735996 [ 5.26 %]\n", - "Levels : 0.0002586 [ 0.18 %]\n", - "Report : 1.041e-06 [ 0.00 %]\n", - "Balance : 1.081e-06 [ 0.00 %]\n", - "Adjust : 0.0576384 [ 41.16 %]\n", - "Total : 0.140037 [100.00 %]\n", + "Drift : 0.000333165 [ 0.75 %]\n", + "Velocity : 0.000777958 [ 1.75 %]\n", + "Force : 0.0156271 [ 35.14 %]\n", + "Coefs : 0.00660082 [ 14.84 %]\n", + "Output : 0.00272763 [ 6.13 %]\n", + "Levels : 0.000112744 [ 0.25 %]\n", + "Report : 3.6e-07 [ 0.00 %]\n", + "Balance : 2.54e-07 [ 0.00 %]\n", + "Adjust : 0.0182786 [ 41.10 %]\n", + "Total : 0.0444759 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6598 416 114 7 7 \n", - "1 : 6587 450 90 6 9 \n", - "2 : 6615 422 97 5 3 \n", - "3 : 6615 438 78 7 4 \n", - "4 : 6623 407 94 11 7 \n", - "5 : 6574 453 96 10 9 \n", - "6 : 6610 419 104 6 3 \n", - "7 : 6567 468 85 13 9 \n", - "8 : 6617 434 75 12 4 \n", - "9 : 6602 432 98 8 2 \n", - "10 : 6613 413 98 9 9 \n", - "11 : 6560 483 85 10 4 \n", - "12 : 6603 429 98 9 3 \n", - "13 : 6596 440 105 10 3 \n", + "0 : 6588 459 83 8 4 \n", + "1 : 6622 434 74 7 5 \n", + "2 : 6566 460 102 6 8 \n", + "3 : 6628 412 94 5 3 \n", + "4 : 6572 442 115 6 7 \n", + "5 : 6601 456 75 5 5 \n", + "6 : 6555 475 101 10 1 \n", + "7 : 6582 457 93 7 3 \n", + "8 : 6603 447 79 11 2 \n", + "9 : 6617 432 79 10 4 \n", + "10 : 6595 448 86 10 3 \n", + "11 : 6579 460 94 5 4 \n", + "12 : 6588 460 82 7 5 \n", + "13 : 6637 420 87 5 5 \n", "\n", - "T : 92380 6104 1317 123 76 [100000]\n", + "T : 92333 6262 1244 102 59 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.2%\n", - "--- Adj/Tot = 0.3%\n", - "--- Update = 1.0378e-02 sec\n", - "--- Collate = 1.4136e-04 sec\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 3.6327e-03 sec\n", + "--- Collate = 2.5541e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.968618e-05 < 6.250000e-03 [46]\n", - "--- Max DT=3.058420e-01 > 1.000000e-01 [70809]\n", + "--- Min DT=1.608079e-04 < 6.250000e-03 [38]\n", + "--- Max DT=3.062488e-01 > 1.000000e-01 [70925]\n", "----------------------------------------------------------------------\n", - " Component | low: 46/100000\n", - " Component | high: 70809/100000\n", + " Component | low: 38/100000\n", + " Component | high: 70925/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=18.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00100625 [ 0.79 %]\n", - "Velocity : 0.00255407 [ 2.00 %]\n", - "Force : 0.0463656 [ 36.39 %]\n", - "Coefs : 0.0184339 [ 14.47 %]\n", - "Output : 0.00139955 [ 1.10 %]\n", - "Levels : 0.000243739 [ 0.19 %]\n", - "Report : 6.34e-07 [ 0.00 %]\n", - "Balance : 3.73e-07 [ 0.00 %]\n", - "Adjust : 0.0573702 [ 45.02 %]\n", - "Total : 0.127422 [100.00 %]\n", + "Drift : 0.000311581 [ 0.72 %]\n", + "Velocity : 0.000742744 [ 1.72 %]\n", + "Force : 0.0158928 [ 36.86 %]\n", + "Coefs : 0.0067639 [ 15.69 %]\n", + "Output : 0.000583529 [ 1.35 %]\n", + "Levels : 0.00011872 [ 0.28 %]\n", + "Report : 1.94e-07 [ 0.00 %]\n", + "Balance : 1.77e-07 [ 0.00 %]\n", + "Adjust : 0.0186826 [ 43.33 %]\n", + "Total : 0.0431134 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6600 414 115 7 6 \n", - "1 : 6588 448 93 4 9 \n", - "2 : 6620 419 94 6 3 \n", - "3 : 6615 436 81 6 4 \n", - "4 : 6622 405 97 9 9 \n", - "5 : 6572 454 98 9 9 \n", - "6 : 6606 422 106 5 3 \n", - "7 : 6563 469 89 12 9 \n", - "8 : 6614 435 77 12 4 \n", - "9 : 6600 436 96 8 2 \n", - "10 : 6612 414 96 8 12 \n", - "11 : 6565 478 86 10 3 \n", - "12 : 6600 434 97 7 4 \n", - "13 : 6592 445 104 11 2 \n", + "0 : 6583 463 84 8 4 \n", + "1 : 6621 437 72 7 5 \n", + "2 : 6567 462 100 6 7 \n", + "3 : 6625 418 90 6 3 \n", + "4 : 6573 441 114 6 8 \n", + "5 : 6602 454 74 7 5 \n", + "6 : 6553 477 100 9 3 \n", + "7 : 6582 455 96 6 3 \n", + "8 : 6600 448 83 7 4 \n", + "9 : 6615 436 80 6 5 \n", + "10 : 6595 449 84 12 2 \n", + "11 : 6576 462 94 7 3 \n", + "12 : 6590 456 83 10 3 \n", + "13 : 6636 419 89 4 6 \n", "\n", - "T : 92369 6109 1329 114 79 [100000]\n", + "T : 92318 6277 1243 101 61 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.3%\n", - "--- Adj/Tot = 0.3%\n", - "--- Update = 1.1193e-02 sec\n", - "--- Collate = 7.1651e-05 sec\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 3.6700e-03 sec\n", + "--- Collate = 2.7135e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.182327e-05 < 6.250000e-03 [45]\n", - "--- Max DT=3.058487e-01 > 1.000000e-01 [70802]\n", + "--- Min DT=1.040706e-04 < 6.250000e-03 [40]\n", + "--- Max DT=3.062657e-01 > 1.000000e-01 [70936]\n", "----------------------------------------------------------------------\n", - " Component | low: 45/100000\n", - " Component | high: 70802/100000\n", + " Component | low: 40/100000\n", + " Component | high: 70936/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=18.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00103784 [ 0.80 %]\n", - "Velocity : 0.00277135 [ 2.14 %]\n", - "Force : 0.0482241 [ 37.20 %]\n", - "Coefs : 0.0181197 [ 13.98 %]\n", - "Output : 0.00136611 [ 1.05 %]\n", - "Levels : 0.00029578 [ 0.23 %]\n", - "Report : 8.27e-07 [ 0.00 %]\n", - "Balance : 8.28e-07 [ 0.00 %]\n", - "Adjust : 0.0577778 [ 44.57 %]\n", - "Total : 0.129642 [100.00 %]\n", + "Drift : 0.0003332 [ 0.78 %]\n", + "Velocity : 0.000747774 [ 1.75 %]\n", + "Force : 0.0158576 [ 37.08 %]\n", + "Coefs : 0.00663374 [ 15.51 %]\n", + "Output : 0.000564251 [ 1.32 %]\n", + "Levels : 0.000127007 [ 0.30 %]\n", + "Report : 1.89e-07 [ 0.00 %]\n", + "Balance : 1.72e-07 [ 0.00 %]\n", + "Adjust : 0.0184897 [ 43.23 %]\n", + "Total : 0.0427707 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6599 413 118 7 5 \n", - "1 : 6591 444 92 9 6 \n", - "2 : 6616 421 95 7 3 \n", - "3 : 6612 441 79 7 3 \n", - "4 : 6615 409 99 9 10 \n", - "5 : 6570 456 99 7 10 \n", - "6 : 6604 427 103 5 3 \n", - "7 : 6559 474 87 13 9 \n", - "8 : 6614 435 76 12 5 \n", - "9 : 6599 438 95 8 2 \n", - "10 : 6610 417 94 8 13 \n", - "11 : 6562 481 85 11 3 \n", - "12 : 6602 431 97 7 5 \n", - "13 : 6594 444 106 8 2 \n", + "0 : 6585 459 87 7 4 \n", + "1 : 6619 438 72 9 4 \n", + "2 : 6567 462 100 6 7 \n", + "3 : 6620 422 92 4 4 \n", + "4 : 6569 444 115 6 8 \n", + "5 : 6602 453 75 8 4 \n", + "6 : 6553 478 99 9 3 \n", + "7 : 6577 461 94 7 3 \n", + "8 : 6597 453 81 7 4 \n", + "9 : 6613 438 80 6 5 \n", + "10 : 6595 449 85 10 3 \n", + "11 : 6575 462 94 9 2 \n", + "12 : 6588 456 87 7 4 \n", + "13 : 6633 423 88 4 6 \n", "\n", - "T : 92347 6131 1325 118 79 [100000]\n", + "T : 92293 6298 1249 99 61 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.5%\n", + "--- Coef/DT = 1.1%\n", "--- Adj/Tot = 0.4%\n", - "--- Update = 1.0612e-02 sec\n", - "--- Collate = 7.3972e-05 sec\n", + "--- Update = 3.6229e-03 sec\n", + "--- Collate = 3.5762e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.514187e-04 < 6.250000e-03 [43]\n", - "--- Max DT=3.058551e-01 > 1.000000e-01 [70807]\n", + "--- Min DT=5.993074e-05 < 6.250000e-03 [35]\n", + "--- Max DT=3.062828e-01 > 1.000000e-01 [70961]\n", "----------------------------------------------------------------------\n", - " Component | low: 43/100000\n", - " Component | high: 70807/100000\n", + " Component | low: 35/100000\n", + " Component | high: 70961/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=18.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00102352 [ 0.74 %]\n", - "Velocity : 0.0027729 [ 2.00 %]\n", - "Force : 0.0515314 [ 37.10 %]\n", - "Coefs : 0.0201864 [ 14.53 %]\n", - "Output : 0.0014211 [ 1.02 %]\n", - "Levels : 0.000220726 [ 0.16 %]\n", - "Report : 7.54e-07 [ 0.00 %]\n", - "Balance : 5.8e-07 [ 0.00 %]\n", - "Adjust : 0.061675 [ 44.41 %]\n", - "Total : 0.138882 [100.00 %]\n", + "Drift : 0.000342307 [ 0.80 %]\n", + "Velocity : 0.000757643 [ 1.78 %]\n", + "Force : 0.0158838 [ 37.27 %]\n", + "Coefs : 0.00661014 [ 15.51 %]\n", + "Output : 0.00058494 [ 1.37 %]\n", + "Levels : 0.000113511 [ 0.27 %]\n", + "Report : 2.3e-07 [ 0.00 %]\n", + "Balance : 1.63e-07 [ 0.00 %]\n", + "Adjust : 0.0183021 [ 42.95 %]\n", + "Total : 0.0426127 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6596 416 118 8 4 \n", - "1 : 6594 441 93 7 7 \n", - "2 : 6617 419 96 7 3 \n", - "3 : 6609 444 78 6 5 \n", - "4 : 6608 415 100 7 12 \n", - "5 : 6572 454 97 9 10 \n", - "6 : 6601 430 104 3 4 \n", - "7 : 6554 478 89 11 10 \n", - "8 : 6617 434 74 11 6 \n", - "9 : 6599 436 98 7 2 \n", - "10 : 6608 419 94 9 12 \n", - "11 : 6558 483 88 11 2 \n", - "12 : 6602 434 95 6 5 \n", - "13 : 6598 442 102 10 2 \n", + "0 : 6587 457 87 7 4 \n", + "1 : 6616 439 73 10 4 \n", + "2 : 6567 461 100 9 5 \n", + "3 : 6621 421 92 6 2 \n", + "4 : 6568 448 112 4 10 \n", + "5 : 6601 453 76 9 3 \n", + "6 : 6548 482 100 10 2 \n", + "7 : 6575 462 95 6 4 \n", + "8 : 6597 452 81 8 4 \n", + "9 : 6610 441 80 7 4 \n", + "10 : 6596 449 83 10 4 \n", + "11 : 6575 465 90 11 1 \n", + "12 : 6587 459 85 8 3 \n", + "13 : 6630 426 89 4 5 \n", "\n", - "T : 92333 6145 1326 112 84 [100000]\n", + "T : 92278 6315 1243 109 55 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.9%\n", + "--- Coef/DT = 1.6%\n", "--- Adj/Tot = 0.4%\n", - "--- Update = 1.2025e-02 sec\n", - "--- Collate = 8.5554e-05 sec\n", + "--- Update = 3.6686e-03 sec\n", + "--- Collate = 2.4114e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.904702e-04 < 6.250000e-03 [43]\n", - "--- Max DT=3.058620e-01 > 1.000000e-01 [70813]\n", + "--- Min DT=2.649216e-05 < 6.250000e-03 [33]\n", + "--- Max DT=3.063007e-01 > 1.000000e-01 [70944]\n", "----------------------------------------------------------------------\n", - " Component | low: 43/100000\n", - " Component | high: 70813/100000\n", + " Component | low: 33/100000\n", + " Component | high: 70944/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=18.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0010518 [ 0.76 %]\n", - "Velocity : 0.00220067 [ 1.60 %]\n", - "Force : 0.0505491 [ 36.74 %]\n", - "Coefs : 0.0191517 [ 13.92 %]\n", - "Output : 0.00128273 [ 0.93 %]\n", - "Levels : 0.000246991 [ 0.18 %]\n", - "Report : 1.7219e-05 [ 0.01 %]\n", - "Balance : 3.9e-07 [ 0.00 %]\n", - "Adjust : 0.0630382 [ 45.82 %]\n", - "Total : 0.137588 [100.00 %]\n", + "Drift : 0.000335625 [ 0.79 %]\n", + "Velocity : 0.00075525 [ 1.78 %]\n", + "Force : 0.0157382 [ 37.14 %]\n", + "Coefs : 0.00657468 [ 15.51 %]\n", + "Output : 0.000539559 [ 1.27 %]\n", + "Levels : 0.000114381 [ 0.27 %]\n", + "Report : 1.88e-07 [ 0.00 %]\n", + "Balance : 1.53e-07 [ 0.00 %]\n", + "Adjust : 0.0183043 [ 43.19 %]\n", + "Total : 0.0423792 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6598 415 119 4 6 \n", - "1 : 6593 443 93 6 7 \n", - "2 : 6612 425 96 6 3 \n", - "3 : 6605 448 78 6 5 \n", - "4 : 6602 421 100 6 13 \n", - "5 : 6570 456 97 11 8 \n", - "6 : 6597 432 106 3 4 \n", - "7 : 6554 477 90 11 10 \n", - "8 : 6617 433 77 7 8 \n", - "9 : 6603 428 101 8 2 \n", - "10 : 6605 421 95 8 13 \n", - "11 : 6558 483 88 10 3 \n", - "12 : 6602 431 98 7 4 \n", - "13 : 6593 450 98 11 2 \n", + "0 : 6584 461 86 8 3 \n", + "1 : 6613 443 72 10 4 \n", + "2 : 6570 458 101 8 5 \n", + "3 : 6619 423 92 6 2 \n", + "4 : 6564 453 111 5 9 \n", + "5 : 6599 456 73 10 4 \n", + "6 : 6545 485 100 10 2 \n", + "7 : 6566 472 95 5 4 \n", + "8 : 6592 457 80 10 3 \n", + "9 : 6606 444 80 9 3 \n", + "10 : 6597 449 81 10 5 \n", + "11 : 6572 469 90 10 1 \n", + "12 : 6585 459 88 7 3 \n", + "13 : 6628 428 89 5 4 \n", "\n", - "T : 92309 6163 1336 104 88 [100000]\n", + "T : 92240 6357 1238 113 52 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.4%\n", + "--- Coef/DT = 1.1%\n", "--- Adj/Tot = 0.4%\n", - "--- Update = 1.0367e-02 sec\n", - "--- Collate = 1.0864e-04 sec\n", + "--- Update = 3.6794e-03 sec\n", + "--- Collate = 2.4100e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.220364e-04 < 6.250000e-03 [46]\n", - "--- Max DT=3.058671e-01 > 1.000000e-01 [70808]\n", + "--- Min DT=3.017262e-05 < 6.250000e-03 [35]\n", + "--- Max DT=3.063187e-01 > 1.000000e-01 [70973]\n", "----------------------------------------------------------------------\n", - " Component | low: 46/100000\n", - " Component | high: 70808/100000\n", + " Component | low: 35/100000\n", + " Component | high: 70973/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=18.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000636696 [ 0.48 %]\n", - "Velocity : 0.00218866 [ 1.66 %]\n", - "Force : 0.0506551 [ 38.31 %]\n", - "Coefs : 0.0195933 [ 14.82 %]\n", - "Output : 0.00134274 [ 1.02 %]\n", - "Levels : 0.000229224 [ 0.17 %]\n", - "Report : 7.94e-07 [ 0.00 %]\n", - "Balance : 2.88e-07 [ 0.00 %]\n", - "Adjust : 0.0575278 [ 43.51 %]\n", - "Total : 0.132222 [100.00 %]\n", + "Drift : 0.000331686 [ 0.78 %]\n", + "Velocity : 0.000770309 [ 1.82 %]\n", + "Force : 0.0157297 [ 37.18 %]\n", + "Coefs : 0.00661083 [ 15.62 %]\n", + "Output : 0.000540865 [ 1.28 %]\n", + "Levels : 0.000111245 [ 0.26 %]\n", + "Report : 2.05e-07 [ 0.00 %]\n", + "Balance : 1.63e-07 [ 0.00 %]\n", + "Adjust : 0.0182004 [ 43.02 %]\n", + "Total : 0.0423117 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6597 417 116 7 5 \n", - "1 : 6590 446 93 6 7 \n", - "2 : 6609 429 94 7 3 \n", - "3 : 6603 449 78 10 2 \n", - "4 : 6600 425 98 6 13 \n", - "5 : 6568 458 98 10 8 \n", - "6 : 6599 431 104 3 5 \n", - "7 : 6553 478 89 13 9 \n", - "8 : 6619 434 74 9 6 \n", - "9 : 6599 432 101 9 1 \n", - "10 : 6607 418 96 9 12 \n", - "11 : 6556 482 90 11 3 \n", - "12 : 6602 430 99 7 4 \n", - "13 : 6594 453 94 12 1 \n", + "0 : 6580 467 84 9 2 \n", + "1 : 6612 443 72 10 5 \n", + "2 : 6568 459 103 6 6 \n", + "3 : 6618 425 90 6 3 \n", + "4 : 6559 458 111 6 8 \n", + "5 : 6596 458 75 8 5 \n", + "6 : 6547 482 101 8 4 \n", + "7 : 6564 474 94 7 3 \n", + "8 : 6588 463 80 8 3 \n", + "9 : 6609 442 79 9 3 \n", + "10 : 6593 451 82 10 6 \n", + "11 : 6573 466 92 9 2 \n", + "12 : 6586 457 91 4 4 \n", + "13 : 6629 426 90 6 3 \n", "\n", - "T : 92296 6182 1324 119 79 [100000]\n", + "T : 92222 6371 1244 106 57 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.2%\n", - "--- Adj/Tot = 0.4%\n", - "--- Update = 1.0364e-02 sec\n", - "--- Collate = 8.6801e-05 sec\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 3.6164e-03 sec\n", + "--- Collate = 2.4156e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.332552e-05 < 6.250000e-03 [40]\n", - "--- Max DT=3.058722e-01 > 1.000000e-01 [70834]\n", + "--- Min DT=7.990138e-06 < 6.250000e-03 [36]\n", + "--- Max DT=3.063374e-01 > 1.000000e-01 [70989]\n", "----------------------------------------------------------------------\n", - " Component | low: 40/100000\n", - " Component | high: 70834/100000\n", + " Component | low: 36/100000\n", + " Component | high: 70989/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=18.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000973492 [ 0.75 %]\n", - "Velocity : 0.0025689 [ 1.99 %]\n", - "Force : 0.0480159 [ 37.12 %]\n", - "Coefs : 0.0181955 [ 14.07 %]\n", - "Output : 0.00129109 [ 1.00 %]\n", - "Levels : 0.000260582 [ 0.20 %]\n", - "Report : 6.46e-07 [ 0.00 %]\n", - "Balance : 7.19e-07 [ 0.00 %]\n", - "Adjust : 0.057985 [ 44.83 %]\n", - "Total : 0.129339 [100.00 %]\n", + "Drift : 0.000336456 [ 0.79 %]\n", + "Velocity : 0.00077254 [ 1.82 %]\n", + "Force : 0.0157367 [ 37.12 %]\n", + "Coefs : 0.00660845 [ 15.59 %]\n", + "Output : 0.000564095 [ 1.33 %]\n", + "Levels : 0.000129859 [ 0.31 %]\n", + "Report : 2.62e-07 [ 0.00 %]\n", + "Balance : 1.63e-07 [ 0.00 %]\n", + "Adjust : 0.0182303 [ 43.00 %]\n", + "Total : 0.0423954 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6587 426 116 9 4 \n", - "1 : 6588 448 93 5 8 \n", - "2 : 6609 431 92 7 3 \n", - "3 : 6602 449 79 10 2 \n", - "4 : 6598 428 97 7 12 \n", - "5 : 6567 462 94 11 8 \n", - "6 : 6593 440 100 5 4 \n", - "7 : 6552 480 89 12 9 \n", - "8 : 6615 439 74 8 6 \n", - "9 : 6592 439 101 8 2 \n", - "10 : 6608 414 99 8 13 \n", - "11 : 6558 482 89 8 5 \n", - "12 : 6596 435 101 7 3 \n", - "13 : 6595 455 92 11 1 \n", + "0 : 6583 463 86 8 2 \n", + "1 : 6610 444 74 9 5 \n", + "2 : 6566 458 106 7 5 \n", + "3 : 6615 427 91 5 4 \n", + "4 : 6559 458 110 7 8 \n", + "5 : 6591 463 76 7 5 \n", + "6 : 6548 481 102 7 4 \n", + "7 : 6563 477 92 8 2 \n", + "8 : 6590 460 82 7 3 \n", + "9 : 6608 442 81 7 4 \n", + "10 : 6591 454 81 10 6 \n", + "11 : 6572 466 93 8 3 \n", + "12 : 6584 460 89 5 4 \n", + "13 : 6628 429 89 5 3 \n", "\n", - "T : 92260 6228 1316 116 80 [100000]\n", + "T : 92208 6382 1252 100 58 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.5%\n", + "--- Coef/DT = 1.2%\n", "--- Adj/Tot = 0.5%\n", - "--- Update = 9.7612e-03 sec\n", - "--- Collate = 1.0640e-04 sec\n", + "--- Update = 3.5934e-03 sec\n", + "--- Collate = 2.5026e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.488478e-05 < 6.250000e-03 [39]\n", - "--- Max DT=3.058765e-01 > 1.000000e-01 [70841]\n", + "--- Min DT=1.736205e-05 < 6.250000e-03 [34]\n", + "--- Max DT=3.063561e-01 > 1.000000e-01 [71023]\n", "----------------------------------------------------------------------\n", - " Component | low: 39/100000\n", - " Component | high: 70841/100000\n", + " Component | low: 34/100000\n", + " Component | high: 71023/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=18.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000947882 [ 0.75 %]\n", - "Velocity : 0.00245671 [ 1.94 %]\n", - "Force : 0.0466636 [ 36.87 %]\n", - "Coefs : 0.0175917 [ 13.90 %]\n", - "Output : 0.00125964 [ 1.00 %]\n", - "Levels : 0.000224572 [ 0.18 %]\n", - "Report : 5.47e-07 [ 0.00 %]\n", - "Balance : 3.48e-07 [ 0.00 %]\n", - "Adjust : 0.0573781 [ 45.33 %]\n", - "Total : 0.126573 [100.00 %]\n", + "Drift : 0.000324168 [ 0.76 %]\n", + "Velocity : 0.000760563 [ 1.78 %]\n", + "Force : 0.0157705 [ 36.85 %]\n", + "Coefs : 0.00664568 [ 15.53 %]\n", + "Output : 0.000568381 [ 1.33 %]\n", + "Levels : 0.000114279 [ 0.27 %]\n", + "Report : 2.49e-07 [ 0.00 %]\n", + "Balance : 1.62e-07 [ 0.00 %]\n", + "Adjust : 0.0185999 [ 43.46 %]\n", + "Total : 0.042802 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6587 427 115 10 3 \n", - "1 : 6586 448 97 5 6 \n", - "2 : 6605 436 91 8 2 \n", - "3 : 6596 454 80 9 3 \n", - "4 : 6594 432 96 6 14 \n", - "5 : 6564 465 94 11 8 \n", - "6 : 6594 442 97 6 3 \n", - "7 : 6551 481 91 11 8 \n", - "8 : 6612 441 74 9 6 \n", - "9 : 6590 439 104 7 2 \n", - "10 : 6609 414 98 12 9 \n", - "11 : 6557 482 91 7 5 \n", - "12 : 6596 439 97 7 3 \n", - "13 : 6591 459 91 11 2 \n", + "0 : 6582 466 84 9 1 \n", + "1 : 6607 445 76 9 5 \n", + "2 : 6565 459 106 7 5 \n", + "3 : 6614 429 91 5 3 \n", + "4 : 6556 462 112 5 7 \n", + "5 : 6591 465 74 8 4 \n", + "6 : 6544 484 103 7 4 \n", + "7 : 6566 473 93 7 3 \n", + "8 : 6585 464 82 7 4 \n", + "9 : 6608 439 81 9 5 \n", + "10 : 6594 452 82 9 5 \n", + "11 : 6565 475 91 7 4 \n", + "12 : 6583 460 90 5 4 \n", + "13 : 6627 430 89 5 3 \n", "\n", - "T : 92232 6259 1316 119 74 [100000]\n", + "T : 92187 6403 1254 99 57 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.1%\n", - "--- Adj/Tot = 0.4%\n", - "--- Update = 1.1280e-02 sec\n", - "--- Collate = 6.9523e-05 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 3.6433e-03 sec\n", + "--- Collate = 2.5387e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.793430e-04 < 6.250000e-03 [39]\n", - "--- Max DT=3.058809e-01 > 1.000000e-01 [70858]\n", + "--- Min DT=2.216344e-04 < 6.250000e-03 [29]\n", + "--- Max DT=3.063751e-01 > 1.000000e-01 [71035]\n", "----------------------------------------------------------------------\n", - " Component | low: 39/100000\n", - " Component | high: 70858/100000\n", + " Component | low: 29/100000\n", + " Component | high: 71035/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=18.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000973668 [ 0.74 %]\n", - "Velocity : 0.00253709 [ 1.93 %]\n", - "Force : 0.0467105 [ 35.56 %]\n", - "Coefs : 0.0181661 [ 13.83 %]\n", - "Output : 0.00141128 [ 1.07 %]\n", - "Levels : 0.000247965 [ 0.19 %]\n", - "Report : 6.25e-07 [ 0.00 %]\n", - "Balance : 3.7e-07 [ 0.00 %]\n", - "Adjust : 0.0612476 [ 46.63 %]\n", - "Total : 0.131345 [100.00 %]\n", + "Drift : 0.000324837 [ 0.76 %]\n", + "Velocity : 0.000749947 [ 1.76 %]\n", + "Force : 0.0158931 [ 37.21 %]\n", + "Coefs : 0.00664797 [ 15.57 %]\n", + "Output : 0.000566191 [ 1.33 %]\n", + "Levels : 0.000110426 [ 0.26 %]\n", + "Report : 3.43e-07 [ 0.00 %]\n", + "Balance : 1.61e-07 [ 0.00 %]\n", + "Adjust : 0.0183978 [ 43.08 %]\n", + "Total : 0.0427072 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6585 428 116 10 3 \n", - "1 : 6582 451 98 6 5 \n", - "2 : 6600 440 91 9 2 \n", - "3 : 6596 454 78 11 3 \n", - "4 : 6591 435 96 8 12 \n", - "5 : 6562 467 93 14 6 \n", - "6 : 6595 441 96 7 3 \n", - "7 : 6547 485 90 11 9 \n", - "8 : 6607 445 75 7 8 \n", - "9 : 6589 438 106 8 1 \n", - "10 : 6611 412 100 11 8 \n", - "11 : 6555 483 91 8 5 \n", - "12 : 6602 434 97 6 3 \n", - "13 : 6593 458 90 11 2 \n", + "0 : 6580 467 86 7 2 \n", + "1 : 6605 447 77 9 4 \n", + "2 : 6565 460 105 6 6 \n", + "3 : 6613 431 89 6 3 \n", + "4 : 6554 464 110 8 6 \n", + "5 : 6591 465 75 7 4 \n", + "6 : 6546 483 102 7 4 \n", + "7 : 6567 470 95 6 4 \n", + "8 : 6585 463 82 6 6 \n", + "9 : 6606 441 82 9 4 \n", + "10 : 6597 451 81 8 5 \n", + "11 : 6563 476 92 7 4 \n", + "12 : 6585 459 89 5 4 \n", + "13 : 6625 432 89 6 2 \n", "\n", - "T : 92215 6271 1317 127 70 [100000]\n", + "T : 92182 6409 1254 97 58 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 1.1%\n", "--- Adj/Tot = 0.4%\n", - "--- Update = 1.1616e-02 sec\n", - "--- Collate = 7.9513e-05 sec\n", + "--- Update = 3.5605e-03 sec\n", + "--- Collate = 2.2888e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.624221e-04 < 6.250000e-03 [36]\n", - "--- Max DT=3.058852e-01 > 1.000000e-01 [70873]\n", + "--- Min DT=3.580099e-05 < 6.250000e-03 [31]\n", + "--- Max DT=3.063940e-01 > 1.000000e-01 [71052]\n", "----------------------------------------------------------------------\n", - " Component | low: 36/100000\n", - " Component | high: 70873/100000\n", + " Component | low: 31/100000\n", + " Component | high: 71052/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=18.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00108741 [ 0.77 %]\n", - "Velocity : 0.00253219 [ 1.78 %]\n", - "Force : 0.0513004 [ 36.14 %]\n", - "Coefs : 0.0191921 [ 13.52 %]\n", - "Output : 0.00135599 [ 0.96 %]\n", - "Levels : 0.000250277 [ 0.18 %]\n", - "Report : 5.94e-07 [ 0.00 %]\n", - "Balance : 3.59e-07 [ 0.00 %]\n", - "Adjust : 0.0661924 [ 46.63 %]\n", - "Total : 0.141962 [100.00 %]\n", + "Drift : 0.000325553 [ 0.77 %]\n", + "Velocity : 0.000754634 [ 1.79 %]\n", + "Force : 0.0156082 [ 36.98 %]\n", + "Coefs : 0.00656916 [ 15.56 %]\n", + "Output : 0.000574746 [ 1.36 %]\n", + "Levels : 0.000111737 [ 0.26 %]\n", + "Report : 2.24e-07 [ 0.00 %]\n", + "Balance : 1.59e-07 [ 0.00 %]\n", + "Adjust : 0.0182463 [ 43.23 %]\n", + "Total : 0.0422083 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6581 431 118 9 3 \n", - "1 : 6582 451 97 7 5 \n", - "2 : 6600 444 88 8 2 \n", - "3 : 6587 463 78 10 4 \n", - "4 : 6592 435 98 6 11 \n", - "5 : 6564 463 93 21 1 \n", - "6 : 6590 445 97 7 3 \n", - "7 : 6544 485 91 13 9 \n", - "8 : 6604 446 77 8 7 \n", - "9 : 6590 436 108 7 1 \n", - "10 : 6608 417 95 14 8 \n", - "11 : 6553 484 91 8 6 \n", - "12 : 6598 440 96 5 3 \n", - "13 : 6590 461 91 10 2 \n", + "0 : 6579 469 85 6 3 \n", + "1 : 6602 450 80 5 5 \n", + "2 : 6564 462 103 9 4 \n", + "3 : 6615 430 87 6 4 \n", + "4 : 6552 467 109 9 5 \n", + "5 : 6593 464 72 10 3 \n", + "6 : 6545 484 103 6 4 \n", + "7 : 6564 473 95 6 4 \n", + "8 : 6582 468 80 6 6 \n", + "9 : 6600 444 85 9 4 \n", + "10 : 6594 453 80 11 4 \n", + "11 : 6559 479 94 8 2 \n", + "12 : 6583 462 88 6 3 \n", + "13 : 6623 434 89 6 2 \n", "\n", - "T : 92183 6301 1318 133 65 [100000]\n", + "T : 92155 6439 1250 103 53 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 1.3%\n", "--- Adj/Tot = 0.5%\n", - "--- Update = 1.0805e-02 sec\n", - "--- Collate = 1.0391e-04 sec\n", + "--- Update = 3.6950e-03 sec\n", + "--- Collate = 2.3298e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.384831e-05 < 6.250000e-03 [31]\n", - "--- Max DT=3.058901e-01 > 1.000000e-01 [70872]\n", + "--- Min DT=2.026470e-04 < 6.250000e-03 [32]\n", + "--- Max DT=3.064115e-01 > 1.000000e-01 [71067]\n", "----------------------------------------------------------------------\n", - " Component | low: 31/100000\n", - " Component | high: 70872/100000\n", + " Component | low: 32/100000\n", + " Component | high: 71067/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=19] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00101008 [ 0.72 %]\n", - "Velocity : 0.00219184 [ 1.57 %]\n", - "Force : 0.0517623 [ 37.09 %]\n", - "Coefs : 0.0193719 [ 13.88 %]\n", - "Output : 0.00686859 [ 4.92 %]\n", - "Levels : 0.000273182 [ 0.20 %]\n", - "Report : 1.467e-06 [ 0.00 %]\n", - "Balance : 7.99e-07 [ 0.00 %]\n", - "Adjust : 0.0580484 [ 41.59 %]\n", - "Total : 0.139574 [100.00 %]\n", + "Drift : 0.000334466 [ 0.75 %]\n", + "Velocity : 0.00076684 [ 1.71 %]\n", + "Force : 0.0157948 [ 35.30 %]\n", + "Coefs : 0.00659709 [ 14.74 %]\n", + "Output : 0.00272085 [ 6.08 %]\n", + "Levels : 0.000148036 [ 0.33 %]\n", + "Report : 5.32e-07 [ 0.00 %]\n", + "Balance : 2.57e-07 [ 0.00 %]\n", + "Adjust : 0.0183652 [ 41.04 %]\n", + "Total : 0.0447454 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6577 437 117 8 3 \n", - "1 : 6584 449 97 7 5 \n", - "2 : 6597 446 88 8 3 \n", - "3 : 6586 463 79 9 5 \n", - "4 : 6587 441 96 7 11 \n", - "5 : 6561 467 94 19 1 \n", - "6 : 6591 442 99 7 3 \n", - "7 : 6543 484 93 17 5 \n", - "8 : 6600 449 79 6 8 \n", - "9 : 6586 439 108 5 4 \n", - "10 : 6607 417 96 14 8 \n", - "11 : 6549 487 92 9 5 \n", - "12 : 6600 439 93 7 3 \n", - "13 : 6592 459 91 9 3 \n", + "0 : 6576 473 84 6 3 \n", + "1 : 6601 451 81 4 5 \n", + "2 : 6565 461 103 9 4 \n", + "3 : 6615 427 90 5 5 \n", + "4 : 6555 464 108 11 4 \n", + "5 : 6591 466 71 10 4 \n", + "6 : 6544 485 103 7 3 \n", + "7 : 6558 480 94 7 3 \n", + "8 : 6581 468 80 7 6 \n", + "9 : 6599 445 86 8 4 \n", + "10 : 6593 454 81 10 4 \n", + "11 : 6562 477 94 7 2 \n", + "12 : 6573 472 88 6 3 \n", + "13 : 6619 438 89 7 1 \n", "\n", - "T : 92160 6319 1322 132 67 [100000]\n", + "T : 92132 6461 1252 104 51 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.4%\n", - "--- Adj/Tot = 0.4%\n", - "--- Update = 1.0300e-02 sec\n", - "--- Collate = 7.8031e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 3.5980e-03 sec\n", + "--- Collate = 2.4941e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.288664e-04 < 6.250000e-03 [26]\n", - "--- Max DT=3.058945e-01 > 1.000000e-01 [70872]\n", + "--- Min DT=1.612691e-05 < 6.250000e-03 [32]\n", + "--- Max DT=3.064297e-01 > 1.000000e-01 [71087]\n", "----------------------------------------------------------------------\n", - " Component | low: 26/100000\n", - " Component | high: 70872/100000\n", + " Component | low: 32/100000\n", + " Component | high: 71087/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=19.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000999867 [ 0.79 %]\n", - "Velocity : 0.00234985 [ 1.87 %]\n", - "Force : 0.0466776 [ 37.08 %]\n", - "Coefs : 0.0173449 [ 13.78 %]\n", - "Output : 0.00132231 [ 1.05 %]\n", - "Levels : 0.000238555 [ 0.19 %]\n", - "Report : 7.11e-07 [ 0.00 %]\n", - "Balance : 3.47e-07 [ 0.00 %]\n", - "Adjust : 0.056894 [ 45.20 %]\n", - "Total : 0.125876 [100.00 %]\n", + "Drift : 0.000323633 [ 0.77 %]\n", + "Velocity : 0.000752011 [ 1.79 %]\n", + "Force : 0.015493 [ 36.84 %]\n", + "Coefs : 0.00664075 [ 15.79 %]\n", + "Output : 0.000551743 [ 1.31 %]\n", + "Levels : 0.000116917 [ 0.28 %]\n", + "Report : 1.76e-07 [ 0.00 %]\n", + "Balance : 1.67e-07 [ 0.00 %]\n", + "Adjust : 0.0181569 [ 43.18 %]\n", + "Total : 0.0420516 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6577 438 115 9 3 \n", - "1 : 6584 450 96 8 4 \n", - "2 : 6588 455 88 8 3 \n", - "3 : 6587 464 78 7 6 \n", - "4 : 6580 448 96 7 11 \n", - "5 : 6560 467 97 17 1 \n", - "6 : 6587 446 98 8 3 \n", - "7 : 6542 485 95 14 6 \n", - "8 : 6594 456 78 7 7 \n", - "9 : 6583 436 115 4 4 \n", - "10 : 6601 424 96 17 4 \n", - "11 : 6543 494 91 9 5 \n", - "12 : 6596 444 92 7 3 \n", - "13 : 6583 464 97 7 3 \n", + "0 : 6578 469 86 7 2 \n", + "1 : 6599 452 83 3 5 \n", + "2 : 6565 460 103 11 3 \n", + "3 : 6616 427 89 6 4 \n", + "4 : 6554 465 108 11 4 \n", + "5 : 6589 468 71 9 5 \n", + "6 : 6542 486 104 8 2 \n", + "7 : 6556 481 94 8 3 \n", + "8 : 6584 465 80 8 5 \n", + "9 : 6599 444 87 7 5 \n", + "10 : 6591 459 79 9 4 \n", + "11 : 6563 478 91 8 2 \n", + "12 : 6571 476 84 6 5 \n", + "13 : 6615 442 90 7 0 \n", "\n", - "T : 92105 6371 1332 129 63 [100000]\n", + "T : 92122 6472 1249 108 49 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.3%\n", + "--- Coef/DT = 1.2%\n", "--- Adj/Tot = 0.4%\n", - "--- Update = 1.1016e-02 sec\n", - "--- Collate = 8.0729e-05 sec\n", + "--- Update = 3.6523e-03 sec\n", + "--- Collate = 2.6385e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.406728e-05 < 6.250000e-03 [28]\n", - "--- Max DT=3.058989e-01 > 1.000000e-01 [70902]\n", + "--- Min DT=5.593039e-05 < 6.250000e-03 [26]\n", + "--- Max DT=3.064481e-01 > 1.000000e-01 [71095]\n", "----------------------------------------------------------------------\n", - " Component | low: 28/100000\n", - " Component | high: 70902/100000\n", + " Component | low: 26/100000\n", + " Component | high: 71095/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=19.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00108327 [ 0.85 %]\n", - "Velocity : 0.00254788 [ 2.00 %]\n", - "Force : 0.0461745 [ 36.21 %]\n", - "Coefs : 0.017154 [ 13.45 %]\n", - "Output : 0.00134125 [ 1.05 %]\n", - "Levels : 0.000255592 [ 0.20 %]\n", - "Report : 9.52e-07 [ 0.00 %]\n", - "Balance : 3.88e-07 [ 0.00 %]\n", - "Adjust : 0.0588977 [ 46.19 %]\n", - "Total : 0.127503 [100.00 %]\n", + "Drift : 0.000328499 [ 0.77 %]\n", + "Velocity : 0.000775225 [ 1.82 %]\n", + "Force : 0.0157718 [ 37.10 %]\n", + "Coefs : 0.00658305 [ 15.48 %]\n", + "Output : 0.000560049 [ 1.32 %]\n", + "Levels : 0.000108777 [ 0.26 %]\n", + "Report : 3.78e-07 [ 0.00 %]\n", + "Balance : 1.61e-07 [ 0.00 %]\n", + "Adjust : 0.0183694 [ 43.21 %]\n", + "Total : 0.0425134 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6573 442 114 10 3 \n", - "1 : 6585 449 97 6 5 \n", - "2 : 6592 452 86 9 3 \n", - "3 : 6588 461 79 7 7 \n", - "4 : 6578 452 94 10 8 \n", - "5 : 6558 470 95 19 0 \n", - "6 : 6586 447 98 8 3 \n", - "7 : 6541 484 98 14 5 \n", - "8 : 6591 458 78 8 7 \n", - "9 : 6581 439 113 5 4 \n", - "10 : 6598 430 96 12 6 \n", - "11 : 6544 492 94 7 5 \n", - "12 : 6591 447 96 6 2 \n", - "13 : 6580 463 100 9 2 \n", + "0 : 6576 472 83 9 2 \n", + "1 : 6600 451 83 3 5 \n", + "2 : 6557 466 105 11 3 \n", + "3 : 6610 433 90 3 6 \n", + "4 : 6552 466 110 8 6 \n", + "5 : 6591 464 73 9 5 \n", + "6 : 6539 488 104 8 3 \n", + "7 : 6555 482 94 8 3 \n", + "8 : 6584 464 81 7 6 \n", + "9 : 6598 448 85 5 6 \n", + "10 : 6590 459 80 8 5 \n", + "11 : 6563 479 89 8 3 \n", + "12 : 6565 480 87 4 6 \n", + "13 : 6612 444 91 5 2 \n", "\n", - "T : 92086 6386 1338 130 60 [100000]\n", + "T : 92092 6496 1255 96 61 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.4%\n", + "--- Coef/DT = 1.2%\n", "--- Adj/Tot = 0.4%\n", - "--- Update = 1.1283e-02 sec\n", - "--- Collate = 8.4105e-05 sec\n", + "--- Update = 3.6591e-03 sec\n", + "--- Collate = 2.3647e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.254345e-04 < 6.250000e-03 [27]\n", - "--- Max DT=3.059026e-01 > 1.000000e-01 [70903]\n", + "--- Min DT=1.600703e-04 < 6.250000e-03 [28]\n", + "--- Max DT=3.064659e-01 > 1.000000e-01 [71109]\n", "----------------------------------------------------------------------\n", - " Component | low: 27/100000\n", - " Component | high: 70903/100000\n", + " Component | low: 28/100000\n", + " Component | high: 71109/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=19.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0010077 [ 0.73 %]\n", - "Velocity : 0.00259725 [ 1.89 %]\n", - "Force : 0.0512479 [ 37.34 %]\n", - "Coefs : 0.019787 [ 14.42 %]\n", - "Output : 0.00138016 [ 1.01 %]\n", - "Levels : 0.000255286 [ 0.19 %]\n", - "Report : 7.61e-07 [ 0.00 %]\n", - "Balance : 3.81e-07 [ 0.00 %]\n", - "Adjust : 0.0609321 [ 44.39 %]\n", - "Total : 0.137261 [100.00 %]\n", + "Drift : 0.000333189 [ 0.78 %]\n", + "Velocity : 0.000757004 [ 1.77 %]\n", + "Force : 0.0158984 [ 37.08 %]\n", + "Coefs : 0.00667722 [ 15.57 %]\n", + "Output : 0.00057985 [ 1.35 %]\n", + "Levels : 0.000115222 [ 0.27 %]\n", + "Report : 4.19e-07 [ 0.00 %]\n", + "Balance : 1.55e-07 [ 0.00 %]\n", + "Adjust : 0.0184941 [ 43.14 %]\n", + "Total : 0.0428723 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6574 443 112 10 3 \n", - "1 : 6585 450 95 7 5 \n", - "2 : 6588 455 88 6 5 \n", - "3 : 6587 461 81 7 6 \n", - "4 : 6571 462 91 12 6 \n", - "5 : 6556 471 95 20 0 \n", - "6 : 6586 449 96 8 3 \n", - "7 : 6539 486 98 14 5 \n", - "8 : 6588 463 77 10 4 \n", - "9 : 6582 438 111 7 4 \n", - "10 : 6595 432 96 11 8 \n", - "11 : 6536 498 96 6 6 \n", - "12 : 6588 449 97 5 3 \n", - "13 : 6580 462 102 8 2 \n", + "0 : 6577 471 83 9 2 \n", + "1 : 6597 455 82 4 4 \n", + "2 : 6555 468 103 12 4 \n", + "3 : 6610 435 88 4 5 \n", + "4 : 6553 466 109 9 5 \n", + "5 : 6593 463 71 10 5 \n", + "6 : 6537 488 107 6 4 \n", + "7 : 6555 482 95 8 2 \n", + "8 : 6581 466 82 8 5 \n", + "9 : 6600 447 84 5 6 \n", + "10 : 6587 462 80 7 6 \n", + "11 : 6556 487 88 8 3 \n", + "12 : 6559 485 88 6 4 \n", + "13 : 6612 443 92 5 2 \n", "\n", - "T : 92055 6419 1335 131 60 [100000]\n", + "T : 92072 6518 1252 101 57 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 1.2%\n", "--- Adj/Tot = 0.4%\n", - "--- Update = 1.0456e-02 sec\n", - "--- Collate = 7.1862e-05 sec\n", + "--- Update = 3.6281e-03 sec\n", + "--- Collate = 3.1914e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.706712e-05 < 6.250000e-03 [30]\n", - "--- Max DT=3.059078e-01 > 1.000000e-01 [70907]\n", + "--- Min DT=2.083569e-04 < 6.250000e-03 [26]\n", + "--- Max DT=3.064840e-01 > 1.000000e-01 [71129]\n", "----------------------------------------------------------------------\n", - " Component | low: 30/100000\n", - " Component | high: 70907/100000\n", + " Component | low: 26/100000\n", + " Component | high: 71129/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=19.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0010474 [ 0.77 %]\n", - "Velocity : 0.0022453 [ 1.66 %]\n", - "Force : 0.0505506 [ 37.30 %]\n", - "Coefs : 0.0200112 [ 14.77 %]\n", - "Output : 0.00132963 [ 0.98 %]\n", - "Levels : 0.000246599 [ 0.18 %]\n", - "Report : 6.56e-07 [ 0.00 %]\n", - "Balance : 3.32e-07 [ 0.00 %]\n", - "Adjust : 0.0600279 [ 44.30 %]\n", - "Total : 0.135508 [100.00 %]\n", + "Drift : 0.000334037 [ 0.78 %]\n", + "Velocity : 0.000752706 [ 1.76 %]\n", + "Force : 0.0158863 [ 37.21 %]\n", + "Coefs : 0.00667397 [ 15.63 %]\n", + "Output : 0.000567415 [ 1.33 %]\n", + "Levels : 0.000111189 [ 0.26 %]\n", + "Report : 1.92e-07 [ 0.00 %]\n", + "Balance : 1.73e-07 [ 0.00 %]\n", + "Adjust : 0.0183499 [ 42.98 %]\n", + "Total : 0.0426921 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6570 446 113 12 1 \n", - "1 : 6582 454 93 9 4 \n", - "2 : 6589 453 89 6 5 \n", - "3 : 6585 459 84 8 6 \n", - "4 : 6569 463 93 11 6 \n", - "5 : 6556 470 95 20 1 \n", - "6 : 6584 448 100 7 3 \n", - "7 : 6535 489 102 12 4 \n", - "8 : 6584 466 78 11 3 \n", - "9 : 6578 444 110 6 4 \n", - "10 : 6593 433 96 11 9 \n", - "11 : 6536 498 97 6 5 \n", - "12 : 6585 452 97 4 4 \n", - "13 : 6581 463 102 6 2 \n", + "0 : 6577 472 82 9 2 \n", + "1 : 6594 457 83 4 4 \n", + "2 : 6552 471 103 11 5 \n", + "3 : 6609 437 87 4 5 \n", + "4 : 6551 470 107 9 5 \n", + "5 : 6592 464 72 11 3 \n", + "6 : 6535 488 109 7 3 \n", + "7 : 6559 477 96 8 2 \n", + "8 : 6575 473 80 7 7 \n", + "9 : 6602 447 82 5 6 \n", + "10 : 6586 464 80 5 7 \n", + "11 : 6552 490 88 9 3 \n", + "12 : 6561 485 86 6 4 \n", + "13 : 6612 443 91 6 2 \n", "\n", - "T : 92027 6438 1349 129 57 [100000]\n", + "T : 92057 6538 1246 101 58 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.1%\n", + "--- Coef/DT = 1.2%\n", "--- Adj/Tot = 0.4%\n", - "--- Update = 1.0593e-02 sec\n", - "--- Collate = 9.5151e-05 sec\n", + "--- Update = 3.6098e-03 sec\n", + "--- Collate = 3.4340e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.790888e-06 < 6.250000e-03 [35]\n", - "--- Max DT=3.059117e-01 > 1.000000e-01 [70913]\n", + "--- Min DT=6.556160e-06 < 6.250000e-03 [30]\n", + "--- Max DT=3.065081e-01 > 1.000000e-01 [71149]\n", "----------------------------------------------------------------------\n", - " Component | low: 35/100000\n", - " Component | high: 70913/100000\n", + " Component | low: 30/100000\n", + " Component | high: 71149/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=19.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000944916 [ 0.73 %]\n", - "Velocity : 0.00255672 [ 1.98 %]\n", - "Force : 0.0467483 [ 36.12 %]\n", - "Coefs : 0.0187695 [ 14.50 %]\n", - "Output : 0.00141606 [ 1.09 %]\n", - "Levels : 0.00026811 [ 0.21 %]\n", - "Report : 6.55e-07 [ 0.00 %]\n", - "Balance : 3.44e-07 [ 0.00 %]\n", - "Adjust : 0.0586806 [ 45.34 %]\n", - "Total : 0.129433 [100.00 %]\n", + "Drift : 0.000340776 [ 0.80 %]\n", + "Velocity : 0.000766912 [ 1.79 %]\n", + "Force : 0.015768 [ 36.79 %]\n", + "Coefs : 0.00674598 [ 15.74 %]\n", + "Output : 0.000588448 [ 1.37 %]\n", + "Levels : 0.000174967 [ 0.41 %]\n", + "Report : 3.72e-07 [ 0.00 %]\n", + "Balance : 1.65e-07 [ 0.00 %]\n", + "Adjust : 0.0184575 [ 43.06 %]\n", + "Total : 0.0428605 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6570 449 110 12 1 \n", - "1 : 6579 459 91 9 4 \n", - "2 : 6589 451 91 8 3 \n", - "3 : 6585 458 84 9 6 \n", - "4 : 6562 469 93 13 5 \n", - "5 : 6558 469 94 20 1 \n", - "6 : 6581 451 100 5 5 \n", - "7 : 6531 493 102 13 3 \n", - "8 : 6583 469 75 12 3 \n", - "9 : 6576 447 108 7 4 \n", - "10 : 6594 433 95 12 8 \n", - "11 : 6528 508 94 8 4 \n", - "12 : 6586 449 100 2 5 \n", - "13 : 6578 464 103 6 3 \n", + "0 : 6578 471 82 7 4 \n", + "1 : 6593 458 83 3 5 \n", + "2 : 6550 473 104 12 3 \n", + "3 : 6608 439 86 5 4 \n", + "4 : 6548 472 108 8 6 \n", + "5 : 6590 464 74 11 3 \n", + "6 : 6531 489 113 6 3 \n", + "7 : 6561 477 95 7 2 \n", + "8 : 6575 473 79 8 7 \n", + "9 : 6602 447 82 6 5 \n", + "10 : 6582 468 80 7 5 \n", + "11 : 6551 492 86 10 3 \n", + "12 : 6561 485 84 9 3 \n", + "13 : 6607 447 92 5 3 \n", "\n", - "T : 92000 6469 1340 136 55 [100000]\n", + "T : 92037 6555 1248 104 56 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.6%\n", - "--- Adj/Tot = 0.3%\n", - "--- Update = 9.9881e-03 sec\n", - "--- Collate = 6.8615e-05 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 3.5274e-03 sec\n", + "--- Collate = 2.8055e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.061226e-05 < 6.250000e-03 [34]\n", - "--- Max DT=3.059158e-01 > 1.000000e-01 [70909]\n", + "--- Min DT=4.064137e-05 < 6.250000e-03 [29]\n", + "--- Max DT=3.065339e-01 > 1.000000e-01 [71164]\n", "----------------------------------------------------------------------\n", - " Component | low: 34/100000\n", - " Component | high: 70909/100000\n", + " Component | low: 29/100000\n", + " Component | high: 71164/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=19.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00111109 [ 0.88 %]\n", - "Velocity : 0.00253077 [ 2.00 %]\n", - "Force : 0.0468799 [ 36.98 %]\n", - "Coefs : 0.0169716 [ 13.39 %]\n", - "Output : 0.00121082 [ 0.96 %]\n", - "Levels : 0.000242514 [ 0.19 %]\n", - "Report : 8.15e-07 [ 0.00 %]\n", - "Balance : 3.45e-07 [ 0.00 %]\n", - "Adjust : 0.0577719 [ 45.57 %]\n", - "Total : 0.126767 [100.00 %]\n", + "Drift : 0.0003364 [ 0.79 %]\n", + "Velocity : 0.000788219 [ 1.86 %]\n", + "Force : 0.0157394 [ 37.08 %]\n", + "Coefs : 0.00672047 [ 15.83 %]\n", + "Output : 0.000545435 [ 1.29 %]\n", + "Levels : 0.000114661 [ 0.27 %]\n", + "Report : 3.55e-07 [ 0.00 %]\n", + "Balance : 1.72e-07 [ 0.00 %]\n", + "Adjust : 0.0181822 [ 42.84 %]\n", + "Total : 0.0424449 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6568 452 109 12 1 \n", - "1 : 6578 460 91 10 3 \n", - "2 : 6592 449 90 8 3 \n", - "3 : 6581 464 82 11 4 \n", - "4 : 6558 473 94 11 6 \n", - "5 : 6556 469 96 18 3 \n", - "6 : 6575 461 97 3 6 \n", - "7 : 6530 494 99 16 3 \n", - "8 : 6587 466 72 14 3 \n", - "9 : 6576 448 109 4 5 \n", - "10 : 6591 434 96 12 9 \n", - "11 : 6530 505 97 7 3 \n", - "12 : 6589 447 98 4 4 \n", - "13 : 6573 468 105 5 3 \n", + "0 : 6575 475 81 7 4 \n", + "1 : 6591 461 82 5 3 \n", + "2 : 6549 473 104 13 3 \n", + "3 : 6610 437 85 6 4 \n", + "4 : 6546 473 109 7 7 \n", + "5 : 6589 464 75 8 6 \n", + "6 : 6532 491 109 7 3 \n", + "7 : 6558 481 94 7 2 \n", + "8 : 6574 471 82 7 8 \n", + "9 : 6601 447 82 7 5 \n", + "10 : 6579 472 78 8 5 \n", + "11 : 6550 492 88 10 2 \n", + "12 : 6561 485 83 9 4 \n", + "13 : 6604 449 93 5 3 \n", "\n", - "T : 91984 6490 1335 135 56 [100000]\n", + "T : 92019 6571 1245 106 59 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 1.2%\n", - "--- Adj/Tot = 0.4%\n", - "--- Update = 1.1558e-02 sec\n", - "--- Collate = 8.9192e-05 sec\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 3.5027e-03 sec\n", + "--- Collate = 2.6398e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.990155e-04 < 6.250000e-03 [33]\n", - "--- Max DT=3.059191e-01 > 1.000000e-01 [70932]\n", + "--- Min DT=6.845622e-05 < 6.250000e-03 [31]\n", + "--- Max DT=3.065586e-01 > 1.000000e-01 [71168]\n", "----------------------------------------------------------------------\n", - " Component | low: 33/100000\n", - " Component | high: 70932/100000\n", + " Component | low: 31/100000\n", + " Component | high: 71168/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=19.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000989771 [ 0.71 %]\n", - "Velocity : 0.00249405 [ 1.79 %]\n", - "Force : 0.0521155 [ 37.39 %]\n", - "Coefs : 0.0179536 [ 12.88 %]\n", - "Output : 0.0014645 [ 1.05 %]\n", - "Levels : 0.000298107 [ 0.21 %]\n", - "Report : 9.32e-07 [ 0.00 %]\n", - "Balance : 3.77e-07 [ 0.00 %]\n", - "Adjust : 0.0639973 [ 45.92 %]\n", - "Total : 0.139366 [100.00 %]\n", + "Drift : 0.000330743 [ 0.79 %]\n", + "Velocity : 0.00077308 [ 1.85 %]\n", + "Force : 0.015286 [ 36.55 %]\n", + "Coefs : 0.00644009 [ 15.40 %]\n", + "Output : 0.000571843 [ 1.37 %]\n", + "Levels : 0.000114792 [ 0.27 %]\n", + "Report : 2.18e-07 [ 0.00 %]\n", + "Balance : 1.62e-07 [ 0.00 %]\n", + "Adjust : 0.0182918 [ 43.73 %]\n", + "Total : 0.0418264 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6565 456 109 11 1 \n", - "1 : 6580 456 93 9 4 \n", - "2 : 6589 452 90 8 3 \n", - "3 : 6581 463 83 11 4 \n", - "4 : 6550 481 94 11 6 \n", - "5 : 6561 462 99 16 4 \n", - "6 : 6574 462 97 3 6 \n", - "7 : 6528 498 97 16 3 \n", - "8 : 6583 468 75 12 4 \n", - "9 : 6577 444 110 5 6 \n", - "10 : 6584 443 95 8 12 \n", - "11 : 6530 502 101 6 3 \n", - "12 : 6589 445 99 5 4 \n", - "13 : 6572 466 107 7 2 \n", + "0 : 6570 479 83 7 3 \n", + "1 : 6593 460 81 5 3 \n", + "2 : 6548 475 103 12 4 \n", + "3 : 6601 442 91 4 4 \n", + "4 : 6542 478 106 7 9 \n", + "5 : 6589 463 76 8 6 \n", + "6 : 6530 494 108 7 3 \n", + "7 : 6557 483 94 5 3 \n", + "8 : 6571 475 81 10 5 \n", + "9 : 6595 454 81 8 4 \n", + "10 : 6576 475 78 9 4 \n", + "11 : 6550 491 88 10 3 \n", + "12 : 6560 487 82 9 4 \n", + "13 : 6602 452 91 6 3 \n", "\n", - "T : 91963 6498 1349 128 62 [100000]\n", + "T : 91984 6608 1243 107 58 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.9%\n", + "--- Coef/DT = 1.3%\n", "--- Adj/Tot = 0.4%\n", - "--- Update = 1.0642e-02 sec\n", - "--- Collate = 7.4975e-05 sec\n", + "--- Update = 3.5169e-03 sec\n", + "--- Collate = 2.4946e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.406088e-04 < 6.250000e-03 [31]\n", - "--- Max DT=3.059224e-01 > 1.000000e-01 [70951]\n", + "--- Min DT=3.873726e-05 < 6.250000e-03 [35]\n", + "--- Max DT=3.065840e-01 > 1.000000e-01 [71172]\n", "----------------------------------------------------------------------\n", - " Component | low: 31/100000\n", - " Component | high: 70951/100000\n", + " Component | low: 35/100000\n", + " Component | high: 71172/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=19.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00139796 [ 1.04 %]\n", - "Velocity : 0.00282414 [ 2.10 %]\n", - "Force : 0.0513777 [ 38.19 %]\n", - "Coefs : 0.018596 [ 13.82 %]\n", - "Output : 0.00142986 [ 1.06 %]\n", - "Levels : 0.00024122 [ 0.18 %]\n", - "Report : 1.057e-06 [ 0.00 %]\n", - "Balance : 2.97e-07 [ 0.00 %]\n", - "Adjust : 0.0586033 [ 43.56 %]\n", - "Total : 0.134525 [100.00 %]\n", + "Drift : 0.000314532 [ 0.75 %]\n", + "Velocity : 0.000773509 [ 1.85 %]\n", + "Force : 0.015396 [ 36.77 %]\n", + "Coefs : 0.00641167 [ 15.31 %]\n", + "Output : 0.000566982 [ 1.35 %]\n", + "Levels : 0.000119046 [ 0.28 %]\n", + "Report : 3.09e-07 [ 0.00 %]\n", + "Balance : 1.47e-07 [ 0.00 %]\n", + "Adjust : 0.0182744 [ 43.64 %]\n", + "Total : 0.0418742 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6566 454 111 9 2 \n", - "1 : 6576 457 96 9 4 \n", - "2 : 6590 453 88 8 3 \n", - "3 : 6580 465 84 8 5 \n", - "4 : 6550 482 93 11 6 \n", - "5 : 6560 462 103 12 5 \n", - "6 : 6575 461 97 4 5 \n", - "7 : 6526 501 95 16 4 \n", - "8 : 6582 466 77 12 5 \n", - "9 : 6573 448 110 5 6 \n", - "10 : 6581 447 94 11 9 \n", - "11 : 6522 511 99 7 3 \n", - "12 : 6590 440 103 5 4 \n", - "13 : 6574 463 107 8 2 \n", + "0 : 6569 480 83 8 2 \n", + "1 : 6596 456 82 6 2 \n", + "2 : 6548 474 106 9 5 \n", + "3 : 6602 442 90 6 2 \n", + "4 : 6540 483 104 6 9 \n", + "5 : 6585 467 76 9 5 \n", + "6 : 6525 499 109 6 3 \n", + "7 : 6555 486 93 5 3 \n", + "8 : 6571 474 82 11 4 \n", + "9 : 6592 456 82 9 3 \n", + "10 : 6576 475 79 8 4 \n", + "11 : 6543 500 87 9 3 \n", + "12 : 6560 485 87 5 5 \n", + "13 : 6601 453 90 6 4 \n", "\n", - "T : 91945 6510 1357 125 63 [100000]\n", + "T : 91963 6630 1250 103 54 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 1.3%\n", "--- Adj/Tot = 0.4%\n", - "--- Update = 1.0562e-02 sec\n", - "--- Collate = 6.8008e-05 sec\n", + "--- Update = 3.6470e-03 sec\n", + "--- Collate = 2.6255e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.356649e-05 < 6.250000e-03 [27]\n", - "--- Max DT=3.059246e-01 > 1.000000e-01 [70951]\n", + "--- Min DT=1.052894e-05 < 6.250000e-03 [32]\n", + "--- Max DT=3.066101e-01 > 1.000000e-01 [71175]\n", "----------------------------------------------------------------------\n", - " Component | low: 27/100000\n", - " Component | high: 70951/100000\n", + " Component | low: 32/100000\n", + " Component | high: 71175/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=19.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00101091 [ 0.80 %]\n", - "Velocity : 0.00264818 [ 2.09 %]\n", - "Force : 0.0467138 [ 36.82 %]\n", - "Coefs : 0.0170778 [ 13.46 %]\n", - "Output : 0.00123649 [ 0.97 %]\n", - "Levels : 0.000281507 [ 0.22 %]\n", - "Report : 8.01e-07 [ 0.00 %]\n", - "Balance : 2.56e-07 [ 0.00 %]\n", - "Adjust : 0.0578394 [ 45.60 %]\n", - "Total : 0.126854 [100.00 %]\n", + "Drift : 0.000325812 [ 0.77 %]\n", + "Velocity : 0.000764173 [ 1.81 %]\n", + "Force : 0.0153823 [ 36.52 %]\n", + "Coefs : 0.0064432 [ 15.30 %]\n", + "Output : 0.000574865 [ 1.36 %]\n", + "Levels : 0.000126799 [ 0.30 %]\n", + "Report : 3.5e-07 [ 0.00 %]\n", + "Balance : 1.7e-07 [ 0.00 %]\n", + "Adjust : 0.01849 [ 43.89 %]\n", + "Total : 0.0421253 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6565 455 111 9 2 \n", - "1 : 6572 466 92 8 4 \n", - "2 : 6585 459 89 5 4 \n", - "3 : 6578 469 82 7 6 \n", - "4 : 6550 484 90 12 6 \n", - "5 : 6558 462 106 11 5 \n", - "6 : 6570 466 96 6 4 \n", - "7 : 6525 499 98 16 4 \n", - "8 : 6581 468 77 10 6 \n", - "9 : 6575 446 109 6 6 \n", - "10 : 6586 442 95 10 9 \n", - "11 : 6525 508 98 8 3 \n", - "12 : 6589 442 100 7 4 \n", - "13 : 6575 459 110 8 2 \n", + "0 : 6565 484 83 8 2 \n", + "1 : 6598 453 82 7 2 \n", + "2 : 6547 476 106 9 4 \n", + "3 : 6601 442 92 5 2 \n", + "4 : 6540 484 104 6 8 \n", + "5 : 6586 466 77 9 4 \n", + "6 : 6529 496 108 6 3 \n", + "7 : 6553 488 94 5 2 \n", + "8 : 6568 476 84 9 5 \n", + "9 : 6593 455 81 10 3 \n", + "10 : 6577 473 79 9 4 \n", + "11 : 6543 499 89 9 2 \n", + "12 : 6557 492 84 3 6 \n", + "13 : 6598 457 89 6 4 \n", "\n", - "T : 91934 6525 1353 123 65 [100000]\n", + "T : 91955 6641 1252 101 51 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.9%\n", - "--- Adj/Tot = 0.4%\n", - "--- Update = 1.1754e-02 sec\n", - "--- Collate = 7.3525e-05 sec\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 3.6825e-03 sec\n", + "--- Collate = 2.2491e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.775509e-05 < 6.250000e-03 [28]\n", - "--- Max DT=3.059264e-01 > 1.000000e-01 [70974]\n", + "--- Min DT=2.730894e-05 < 6.250000e-03 [35]\n", + "--- Max DT=3.066360e-01 > 1.000000e-01 [71206]\n", "----------------------------------------------------------------------\n", - " Component | low: 28/100000\n", - " Component | high: 70974/100000\n", + " Component | low: 35/100000\n", + " Component | high: 71206/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=20] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000983277 [ 0.73 %]\n", - "Velocity : 0.00260778 [ 1.93 %]\n", - "Force : 0.0477945 [ 35.30 %]\n", - "Coefs : 0.0173339 [ 12.80 %]\n", - "Output : 0.00794822 [ 5.87 %]\n", - "Levels : 0.000230458 [ 0.17 %]\n", - "Report : 9.89e-07 [ 0.00 %]\n", - "Balance : 6.21e-07 [ 0.00 %]\n", - "Adjust : 0.0584377 [ 43.16 %]\n", - "Total : 0.135387 [100.00 %]\n", + "Drift : 0.000335459 [ 0.74 %]\n", + "Velocity : 0.000761 [ 1.69 %]\n", + "Force : 0.0158176 [ 35.12 %]\n", + "Coefs : 0.00668745 [ 14.85 %]\n", + "Output : 0.00277675 [ 6.17 %]\n", + "Levels : 0.000117552 [ 0.26 %]\n", + "Report : 4.28e-07 [ 0.00 %]\n", + "Balance : 2.34e-07 [ 0.00 %]\n", + "Adjust : 0.0185234 [ 41.13 %]\n", + "Total : 0.0450364 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6560 456 115 9 2 \n", - "1 : 6567 472 91 8 4 \n", - "2 : 6575 466 94 3 4 \n", - "3 : 6571 473 87 6 5 \n", - "4 : 6548 486 92 10 6 \n", - "5 : 6553 465 109 10 5 \n", - "6 : 6564 471 96 7 4 \n", - "7 : 6524 497 100 16 5 \n", - "8 : 6580 467 79 10 6 \n", - "9 : 6574 448 106 10 4 \n", - "10 : 6587 441 95 11 8 \n", - "11 : 6523 509 100 6 4 \n", - "12 : 6589 439 101 9 4 \n", - "13 : 6569 462 113 8 2 \n", + "0 : 6567 481 84 8 2 \n", + "1 : 6601 449 83 7 2 \n", + "2 : 6542 480 108 8 4 \n", + "3 : 6594 449 91 6 2 \n", + "4 : 6540 484 105 5 8 \n", + "5 : 6580 470 78 11 3 \n", + "6 : 6527 500 106 6 3 \n", + "7 : 6554 486 95 5 2 \n", + "8 : 6570 477 82 8 5 \n", + "9 : 6590 458 81 9 4 \n", + "10 : 6575 475 79 9 4 \n", + "11 : 6538 504 89 8 3 \n", + "12 : 6553 494 86 5 4 \n", + "13 : 6595 462 87 6 4 \n", "\n", - "T : 91884 6552 1378 123 63 [100000]\n", + "T : 91926 6669 1254 101 50 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.4%\n", + "--- Coef/DT = 1.1%\n", "--- Adj/Tot = 0.4%\n", - "--- Update = 1.1660e-02 sec\n", - "--- Collate = 1.0323e-04 sec\n", + "--- Update = 3.6819e-03 sec\n", + "--- Collate = 2.5548e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.390321e-05 < 6.250000e-03 [31]\n", - "--- Max DT=3.059262e-01 > 1.000000e-01 [70970]\n", + "--- Min DT=6.605924e-05 < 6.250000e-03 [29]\n", + "--- Max DT=3.066625e-01 > 1.000000e-01 [71199]\n", "----------------------------------------------------------------------\n", - " Component | low: 31/100000\n", - " Component | high: 70970/100000\n", + " Component | low: 29/100000\n", + " Component | high: 71199/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=20.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00103002 [ 0.75 %]\n", - "Velocity : 0.00269754 [ 1.97 %]\n", - "Force : 0.0520834 [ 37.94 %]\n", - "Coefs : 0.019793 [ 14.42 %]\n", - "Output : 0.00129329 [ 0.94 %]\n", - "Levels : 0.000259821 [ 0.19 %]\n", - "Report : 8.28e-07 [ 0.00 %]\n", - "Balance : 3.7e-07 [ 0.00 %]\n", - "Adjust : 0.060066 [ 43.76 %]\n", - "Total : 0.137272 [100.00 %]\n", + "Drift : 0.000314005 [ 0.73 %]\n", + "Velocity : 0.000764364 [ 1.77 %]\n", + "Force : 0.0159712 [ 37.04 %]\n", + "Coefs : 0.00680323 [ 15.78 %]\n", + "Output : 0.000583974 [ 1.35 %]\n", + "Levels : 0.000116845 [ 0.27 %]\n", + "Report : 2.42e-07 [ 0.00 %]\n", + "Balance : 1.71e-07 [ 0.00 %]\n", + "Adjust : 0.0185418 [ 43.01 %]\n", + "Total : 0.0431134 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6554 462 116 8 2 \n", - "1 : 6564 472 95 6 5 \n", - "2 : 6579 462 94 3 4 \n", - "3 : 6571 473 87 7 4 \n", - "4 : 6546 487 93 10 6 \n", - "5 : 6552 466 109 9 6 \n", - "6 : 6558 476 96 8 4 \n", - "7 : 6524 497 101 13 7 \n", - "8 : 6576 472 79 8 7 \n", - "9 : 6571 452 105 11 3 \n", - "10 : 6580 445 101 9 7 \n", - "11 : 6524 510 98 6 4 \n", - "12 : 6590 440 98 10 4 \n", - "13 : 6571 460 114 7 2 \n", + "0 : 6571 478 83 8 2 \n", + "1 : 6600 450 84 6 2 \n", + "2 : 6538 486 107 6 5 \n", + "3 : 6587 459 86 8 2 \n", + "4 : 6536 488 104 6 8 \n", + "5 : 6580 470 80 9 3 \n", + "6 : 6528 501 104 6 3 \n", + "7 : 6554 485 96 5 2 \n", + "8 : 6571 475 83 7 6 \n", + "9 : 6591 456 81 10 4 \n", + "10 : 6572 479 78 9 4 \n", + "11 : 6536 503 92 6 5 \n", + "12 : 6553 496 83 6 4 \n", + "13 : 6592 465 87 6 4 \n", "\n", - "T : 91860 6574 1386 115 65 [100000]\n", + "T : 91909 6691 1248 98 54 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.4%\n", + "--- Coef/DT = 1.2%\n", "--- Adj/Tot = 0.4%\n", - "--- Update = 1.1797e-02 sec\n", - "--- Collate = 1.1199e-04 sec\n", + "--- Update = 3.6778e-03 sec\n", + "--- Collate = 2.5229e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.118590e-05 < 6.250000e-03 [34]\n", - "--- Max DT=3.059267e-01 > 1.000000e-01 [70970]\n", + "--- Min DT=2.232128e-04 < 6.250000e-03 [25]\n", + "--- Max DT=3.066884e-01 > 1.000000e-01 [71208]\n", "----------------------------------------------------------------------\n", - " Component | low: 34/100000\n", - " Component | high: 70970/100000\n", + " Component | low: 25/100000\n", + " Component | high: 71208/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=20.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00108583 [ 0.79 %]\n", - "Velocity : 0.00258941 [ 1.89 %]\n", - "Force : 0.0511063 [ 37.25 %]\n", - "Coefs : 0.0193955 [ 14.14 %]\n", - "Output : 0.00139195 [ 1.01 %]\n", - "Levels : 0.000227479 [ 0.17 %]\n", - "Report : 5.56e-07 [ 0.00 %]\n", - "Balance : 3.64e-07 [ 0.00 %]\n", - "Adjust : 0.061358 [ 44.72 %]\n", - "Total : 0.137208 [100.00 %]\n", + "Drift : 0.000327387 [ 0.76 %]\n", + "Velocity : 0.000772702 [ 1.80 %]\n", + "Force : 0.0157803 [ 36.81 %]\n", + "Coefs : 0.00670194 [ 15.63 %]\n", + "Output : 0.000571535 [ 1.33 %]\n", + "Levels : 0.000131033 [ 0.31 %]\n", + "Report : 2.87e-07 [ 0.00 %]\n", + "Balance : 1.55e-07 [ 0.00 %]\n", + "Adjust : 0.0185713 [ 43.32 %]\n", + "Total : 0.0428743 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6558 456 119 7 2 \n", - "1 : 6562 475 94 4 7 \n", - "2 : 6574 466 95 4 3 \n", - "3 : 6573 473 85 7 4 \n", - "4 : 6545 488 92 11 6 \n", - "5 : 6548 472 107 8 7 \n", - "6 : 6563 469 97 10 3 \n", - "7 : 6522 496 104 14 6 \n", - "8 : 6575 472 79 10 6 \n", - "9 : 6567 459 103 9 4 \n", - "10 : 6579 447 97 12 7 \n", - "11 : 6521 510 101 7 3 \n", - "12 : 6586 441 101 10 4 \n", - "13 : 6571 459 117 5 2 \n", + "0 : 6565 485 82 8 2 \n", + "1 : 6598 453 84 5 2 \n", + "2 : 6536 488 108 5 5 \n", + "3 : 6585 460 88 8 1 \n", + "4 : 6533 491 104 5 9 \n", + "5 : 6576 473 82 8 3 \n", + "6 : 6525 502 106 6 3 \n", + "7 : 6554 485 96 5 2 \n", + "8 : 6568 476 86 7 5 \n", + "9 : 6592 454 83 8 5 \n", + "10 : 6566 485 79 9 3 \n", + "11 : 6538 500 94 5 5 \n", + "12 : 6553 496 82 6 5 \n", + "13 : 6591 467 86 5 5 \n", "\n", - "T : 91844 6583 1391 118 64 [100000]\n", + "T : 91880 6715 1260 90 55 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.7%\n", + "--- Coef/DT = 1.2%\n", "--- Adj/Tot = 0.5%\n", - "--- Update = 1.0641e-02 sec\n", - "--- Collate = 9.2217e-05 sec\n", + "--- Update = 3.6588e-03 sec\n", + "--- Collate = 2.7003e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.046848e-05 < 6.250000e-03 [37]\n", - "--- Max DT=3.059261e-01 > 1.000000e-01 [70961]\n", + "--- Min DT=5.882029e-05 < 6.250000e-03 [19]\n", + "--- Max DT=3.067151e-01 > 1.000000e-01 [71216]\n", "----------------------------------------------------------------------\n", - " Component | low: 37/100000\n", - " Component | high: 70961/100000\n", + " Component | low: 19/100000\n", + " Component | high: 71216/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=20.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000988213 [ 0.76 %]\n", - "Velocity : 0.00265525 [ 2.04 %]\n", - "Force : 0.0478322 [ 36.73 %]\n", - "Coefs : 0.0180758 [ 13.88 %]\n", - "Output : 0.0013174 [ 1.01 %]\n", - "Levels : 0.000322513 [ 0.25 %]\n", - "Report : 9e-07 [ 0.00 %]\n", - "Balance : 4.29e-07 [ 0.00 %]\n", - "Adjust : 0.0589785 [ 45.29 %]\n", - "Total : 0.13022 [100.00 %]\n", + "Drift : 0.000327044 [ 0.76 %]\n", + "Velocity : 0.000782598 [ 1.82 %]\n", + "Force : 0.0159058 [ 37.08 %]\n", + "Coefs : 0.00670509 [ 15.63 %]\n", + "Output : 0.000555801 [ 1.30 %]\n", + "Levels : 0.000132651 [ 0.31 %]\n", + "Report : 3.71e-07 [ 0.00 %]\n", + "Balance : 1.65e-07 [ 0.00 %]\n", + "Adjust : 0.018469 [ 43.06 %]\n", + "Total : 0.0428959 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6553 461 119 7 2 \n", - "1 : 6556 483 92 5 6 \n", - "2 : 6574 466 94 6 2 \n", - "3 : 6574 469 89 5 5 \n", - "4 : 6547 486 92 11 6 \n", - "5 : 6552 467 108 8 7 \n", - "6 : 6561 471 99 6 5 \n", - "7 : 6521 497 104 14 6 \n", - "8 : 6578 469 79 12 4 \n", - "9 : 6561 462 106 10 3 \n", - "10 : 6571 451 101 11 8 \n", - "11 : 6528 500 104 6 4 \n", - "12 : 6579 447 104 8 4 \n", - "13 : 6572 458 114 7 3 \n", + "0 : 6562 485 83 10 2 \n", + "1 : 6592 459 84 3 4 \n", + "2 : 6535 490 106 6 5 \n", + "3 : 6580 463 88 10 1 \n", + "4 : 6531 492 104 7 8 \n", + "5 : 6575 474 81 8 4 \n", + "6 : 6527 501 105 8 1 \n", + "7 : 6553 486 97 4 2 \n", + "8 : 6569 476 86 6 5 \n", + "9 : 6592 455 81 9 5 \n", + "10 : 6565 486 79 10 2 \n", + "11 : 6539 499 93 7 4 \n", + "12 : 6553 496 83 5 5 \n", + "13 : 6591 467 86 6 4 \n", "\n", - "T : 91827 6587 1405 116 65 [100000]\n", + "T : 91864 6729 1256 99 52 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.8%\n", - "--- Adj/Tot = 0.5%\n", - "--- Update = 1.7752e-02 sec\n", - "--- Collate = 7.1780e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 3.6550e-03 sec\n", + "--- Collate = 2.6305e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.764748e-05 < 6.250000e-03 [38]\n", - "--- Max DT=3.059252e-01 > 1.000000e-01 [70960]\n", + "--- Min DT=1.809464e-04 < 6.250000e-03 [20]\n", + "--- Max DT=3.067424e-01 > 1.000000e-01 [71220]\n", "----------------------------------------------------------------------\n", - " Component | low: 38/100000\n", - " Component | high: 70960/100000\n", + " Component | low: 20/100000\n", + " Component | high: 71220/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=20.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00100276 [ 0.40 %]\n", - "Velocity : 0.00293288 [ 1.16 %]\n", - "Force : 0.074058 [ 29.39 %]\n", - "Coefs : 0.0471258 [ 18.70 %]\n", - "Output : 0.00139065 [ 0.55 %]\n", - "Levels : 0.000204618 [ 0.08 %]\n", - "Report : 5.58e-07 [ 0.00 %]\n", - "Balance : 3.18e-07 [ 0.00 %]\n", - "Adjust : 0.125216 [ 49.69 %]\n", - "Total : 0.251989 [100.00 %]\n", + "Drift : 0.000329571 [ 0.77 %]\n", + "Velocity : 0.000783297 [ 1.82 %]\n", + "Force : 0.0159101 [ 36.98 %]\n", + "Coefs : 0.00672694 [ 15.64 %]\n", + "Output : 0.000577249 [ 1.34 %]\n", + "Levels : 0.00011279 [ 0.26 %]\n", + "Report : 2.42e-07 [ 0.00 %]\n", + "Balance : 1.72e-07 [ 0.00 %]\n", + "Adjust : 0.0185612 [ 43.15 %]\n", + "Total : 0.0430188 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6552 460 120 7 3 \n", - "1 : 6552 486 93 6 5 \n", - "2 : 6577 464 93 6 2 \n", - "3 : 6573 474 83 7 5 \n", - "4 : 6543 489 94 9 7 \n", - "5 : 6554 465 106 10 7 \n", - "6 : 6557 473 101 6 5 \n", - "7 : 6514 503 105 14 6 \n", - "8 : 6577 468 84 8 5 \n", - "9 : 6559 462 109 9 3 \n", - "10 : 6571 455 97 11 8 \n", - "11 : 6528 499 103 7 5 \n", - "12 : 6581 447 103 7 4 \n", - "13 : 6576 455 113 7 3 \n", + "0 : 6563 483 82 13 1 \n", + "1 : 6590 461 84 4 3 \n", + "2 : 6533 492 102 11 4 \n", + "3 : 6575 466 90 10 1 \n", + "4 : 6530 494 103 8 7 \n", + "5 : 6570 479 82 7 4 \n", + "6 : 6526 501 108 6 1 \n", + "7 : 6548 491 98 4 1 \n", + "8 : 6565 479 86 6 6 \n", + "9 : 6591 457 80 9 5 \n", + "10 : 6563 485 83 9 2 \n", + "11 : 6539 500 92 7 4 \n", + "12 : 6553 494 84 6 5 \n", + "13 : 6592 468 84 7 3 \n", "\n", - "T : 91814 6600 1404 114 68 [100000]\n", + "T : 91838 6750 1258 107 47 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 1.2%\n", - "--- Adj/Tot = 0.5%\n", - "--- Update = 2.1040e-02 sec\n", - "--- Collate = 8.2899e-05 sec\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 3.6517e-03 sec\n", + "--- Collate = 2.3955e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.100706e-05 < 6.250000e-03 [41]\n", - "--- Max DT=3.059228e-01 > 1.000000e-01 [70958]\n", + "--- Min DT=2.394079e-04 < 6.250000e-03 [26]\n", + "--- Max DT=3.067690e-01 > 1.000000e-01 [71224]\n", "----------------------------------------------------------------------\n", - " Component | low: 41/100000\n", - " Component | high: 70958/100000\n", + " Component | low: 26/100000\n", + " Component | high: 71224/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=20.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000749514 [ 0.32 %]\n", - "Velocity : 0.00258586 [ 1.10 %]\n", - "Force : 0.0761579 [ 32.53 %]\n", - "Coefs : 0.0406462 [ 17.36 %]\n", - "Output : 0.00165943 [ 0.71 %]\n", - "Levels : 0.000453302 [ 0.19 %]\n", - "Report : 8.44e-07 [ 0.00 %]\n", - "Balance : 3.58e-07 [ 0.00 %]\n", - "Adjust : 0.111838 [ 47.76 %]\n", - "Total : 0.234147 [100.00 %]\n", + "Drift : 0.000339301 [ 0.79 %]\n", + "Velocity : 0.0007568 [ 1.77 %]\n", + "Force : 0.0158977 [ 37.16 %]\n", + "Coefs : 0.0066751 [ 15.60 %]\n", + "Output : 0.000580637 [ 1.36 %]\n", + "Levels : 0.000109723 [ 0.26 %]\n", + "Report : 2e-07 [ 0.00 %]\n", + "Balance : 1.71e-07 [ 0.00 %]\n", + "Adjust : 0.0184028 [ 43.02 %]\n", + "Total : 0.0427806 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6554 455 125 5 3 \n", - "1 : 6551 483 96 7 5 \n", - "2 : 6574 467 90 8 3 \n", - "3 : 6570 480 78 9 5 \n", - "4 : 6544 484 98 8 8 \n", - "5 : 6550 466 109 11 6 \n", - "6 : 6554 475 103 5 5 \n", - "7 : 6519 503 99 15 6 \n", - "8 : 6571 474 85 7 5 \n", - "9 : 6560 460 111 8 3 \n", - "10 : 6559 464 100 13 6 \n", - "11 : 6525 502 103 6 6 \n", - "12 : 6572 454 105 6 5 \n", - "13 : 6568 459 116 8 3 \n", + "0 : 6558 488 83 12 1 \n", + "1 : 6595 456 85 3 3 \n", + "2 : 6531 493 103 12 3 \n", + "3 : 6570 472 90 8 2 \n", + "4 : 6530 493 102 12 5 \n", + "5 : 6566 483 82 6 5 \n", + "6 : 6525 501 110 5 1 \n", + "7 : 6546 493 97 4 2 \n", + "8 : 6564 479 88 6 5 \n", + "9 : 6588 462 77 11 4 \n", + "10 : 6559 491 83 8 1 \n", + "11 : 6538 500 94 5 5 \n", + "12 : 6552 494 87 5 4 \n", + "13 : 6591 469 84 6 4 \n", "\n", - "T : 91771 6626 1418 116 69 [100000]\n", + "T : 91813 6774 1265 103 45 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.2%\n", + "--- Coef/DT = 1.1%\n", "--- Adj/Tot = 0.4%\n", - "--- Update = 1.4815e-02 sec\n", - "--- Collate = 7.6756e-05 sec\n", + "--- Update = 3.6551e-03 sec\n", + "--- Collate = 2.3759e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.824622e-05 < 6.250000e-03 [49]\n", - "--- Max DT=3.059209e-01 > 1.000000e-01 [70971]\n", + "--- Min DT=5.216129e-05 < 6.250000e-03 [26]\n", + "--- Max DT=3.067969e-01 > 1.000000e-01 [71237]\n", "----------------------------------------------------------------------\n", - " Component | low: 49/100000\n", - " Component | high: 70971/100000\n", + " Component | low: 26/100000\n", + " Component | high: 71237/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=20.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00116598 [ 0.60 %]\n", - "Velocity : 0.00289015 [ 1.48 %]\n", - "Force : 0.0693762 [ 35.52 %]\n", - "Coefs : 0.0322349 [ 16.50 %]\n", - "Output : 0.00173908 [ 0.89 %]\n", - "Levels : 0.000282348 [ 0.14 %]\n", - "Report : 1.31e-06 [ 0.00 %]\n", - "Balance : 5.86e-07 [ 0.00 %]\n", - "Adjust : 0.0875599 [ 44.83 %]\n", - "Total : 0.195311 [100.00 %]\n", + "Drift : 0.000334648 [ 0.78 %]\n", + "Velocity : 0.00076276 [ 1.78 %]\n", + "Force : 0.0158276 [ 37.02 %]\n", + "Coefs : 0.00674398 [ 15.77 %]\n", + "Output : 0.000565313 [ 1.32 %]\n", + "Levels : 0.000108702 [ 0.25 %]\n", + "Report : 2.81e-07 [ 0.00 %]\n", + "Balance : 1.62e-07 [ 0.00 %]\n", + "Adjust : 0.0183933 [ 43.02 %]\n", + "Total : 0.042753 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6554 452 127 7 2 \n", - "1 : 6547 487 95 7 6 \n", - "2 : 6568 474 89 8 3 \n", - "3 : 6564 487 77 7 7 \n", - "4 : 6541 483 102 10 6 \n", - "5 : 6547 467 110 12 6 \n", - "6 : 6551 474 107 5 5 \n", - "7 : 6516 508 96 15 7 \n", - "8 : 6569 476 84 9 4 \n", - "9 : 6560 458 114 5 5 \n", - "10 : 6562 461 99 16 4 \n", - "11 : 6524 503 103 5 7 \n", - "12 : 6573 453 103 8 5 \n", - "13 : 6567 458 118 8 3 \n", + "0 : 6558 487 84 12 1 \n", + "1 : 6595 457 83 3 4 \n", + "2 : 6534 489 104 11 4 \n", + "3 : 6568 473 90 9 2 \n", + "4 : 6530 493 103 12 4 \n", + "5 : 6568 481 81 8 4 \n", + "6 : 6526 501 109 5 1 \n", + "7 : 6544 495 95 5 3 \n", + "8 : 6554 488 90 5 5 \n", + "9 : 6580 468 79 9 6 \n", + "10 : 6559 490 84 7 2 \n", + "11 : 6534 506 91 6 5 \n", + "12 : 6549 498 86 4 5 \n", + "13 : 6591 469 83 7 4 \n", "\n", - "T : 91743 6641 1424 122 70 [100000]\n", + "T : 91790 6795 1262 103 50 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.4%\n", + "--- Coef/DT = 1.3%\n", "--- Adj/Tot = 0.5%\n", - "--- Update = 1.2004e-02 sec\n", - "--- Collate = 7.3555e-05 sec\n", + "--- Update = 3.6801e-03 sec\n", + "--- Collate = 2.5155e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.504184e-05 < 6.250000e-03 [42]\n", - "--- Max DT=3.059172e-01 > 1.000000e-01 [70974]\n", + "--- Min DT=1.742602e-04 < 6.250000e-03 [26]\n", + "--- Max DT=3.068247e-01 > 1.000000e-01 [71249]\n", "----------------------------------------------------------------------\n", - " Component | low: 42/100000\n", - " Component | high: 70974/100000\n", + " Component | low: 26/100000\n", + " Component | high: 71249/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=20.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000699258 [ 0.47 %]\n", - "Velocity : 0.00225375 [ 1.52 %]\n", - "Force : 0.0538975 [ 36.38 %]\n", - "Coefs : 0.0207588 [ 14.01 %]\n", - "Output : 0.00153522 [ 1.04 %]\n", - "Levels : 0.000357875 [ 0.24 %]\n", - "Report : 8.57e-07 [ 0.00 %]\n", - "Balance : 4.17e-07 [ 0.00 %]\n", - "Adjust : 0.0685876 [ 46.30 %]\n", - "Total : 0.148144 [100.00 %]\n", + "Drift : 0.000334476 [ 0.78 %]\n", + "Velocity : 0.000779612 [ 1.81 %]\n", + "Force : 0.0159431 [ 37.10 %]\n", + "Coefs : 0.00672939 [ 15.66 %]\n", + "Output : 0.000577202 [ 1.34 %]\n", + "Levels : 0.000113714 [ 0.26 %]\n", + "Report : 3.38e-07 [ 0.00 %]\n", + "Balance : 1.49e-07 [ 0.00 %]\n", + "Adjust : 0.0184736 [ 42.99 %]\n", + "Total : 0.0429687 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6552 454 126 7 3 \n", - "1 : 6542 492 95 8 5 \n", - "2 : 6565 477 90 7 3 \n", - "3 : 6559 493 74 9 7 \n", - "4 : 6536 488 103 9 6 \n", - "5 : 6547 467 109 13 6 \n", - "6 : 6553 469 111 5 4 \n", - "7 : 6516 509 97 11 9 \n", - "8 : 6567 473 85 13 4 \n", - "9 : 6559 460 112 6 5 \n", - "10 : 6556 470 95 17 4 \n", - "11 : 6523 504 103 5 7 \n", - "12 : 6564 466 100 7 5 \n", - "13 : 6566 457 120 8 3 \n", + "0 : 6556 488 86 10 2 \n", + "1 : 6592 462 81 2 5 \n", + "2 : 6535 487 105 11 4 \n", + "3 : 6569 473 89 8 3 \n", + "4 : 6526 499 101 14 2 \n", + "5 : 6563 486 80 10 3 \n", + "6 : 6524 502 108 7 1 \n", + "7 : 6543 497 94 5 3 \n", + "8 : 6556 486 90 5 5 \n", + "9 : 6579 470 79 8 6 \n", + "10 : 6559 488 86 6 3 \n", + "11 : 6531 509 90 5 7 \n", + "12 : 6547 501 84 4 6 \n", + "13 : 6592 466 85 8 3 \n", "\n", - "T : 91705 6679 1420 125 71 [100000]\n", + "T : 91772 6814 1258 103 53 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.5%\n", + "--- Coef/DT = 1.3%\n", "--- Adj/Tot = 0.5%\n", - "--- Update = 1.2391e-02 sec\n", - "--- Collate = 7.9161e-05 sec\n", + "--- Update = 3.6646e-03 sec\n", + "--- Collate = 2.4433e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.496489e-05 < 6.250000e-03 [46]\n", - "--- Max DT=3.059134e-01 > 1.000000e-01 [70979]\n", + "--- Min DT=1.495148e-04 < 6.250000e-03 [30]\n", + "--- Max DT=3.068527e-01 > 1.000000e-01 [71242]\n", "----------------------------------------------------------------------\n", - " Component | low: 46/100000\n", - " Component | high: 70979/100000\n", + " Component | low: 30/100000\n", + " Component | high: 71242/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=20.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00129841 [ 0.82 %]\n", - "Velocity : 0.00341786 [ 2.16 %]\n", - "Force : 0.058588 [ 37.04 %]\n", - "Coefs : 0.0217012 [ 13.72 %]\n", - "Output : 0.00185235 [ 1.17 %]\n", - "Levels : 0.000366206 [ 0.23 %]\n", - "Report : 1.01e-06 [ 0.00 %]\n", - "Balance : 3.72e-07 [ 0.00 %]\n", - "Adjust : 0.0708747 [ 44.81 %]\n", - "Total : 0.158174 [100.00 %]\n", + "Drift : 0.000336245 [ 0.78 %]\n", + "Velocity : 0.000784459 [ 1.83 %]\n", + "Force : 0.0158868 [ 37.00 %]\n", + "Coefs : 0.0067236 [ 15.66 %]\n", + "Output : 0.000578851 [ 1.35 %]\n", + "Levels : 0.000129145 [ 0.30 %]\n", + "Report : 1.86e-07 [ 0.00 %]\n", + "Balance : 1.64e-07 [ 0.00 %]\n", + "Adjust : 0.0184773 [ 43.04 %]\n", + "Total : 0.0429343 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6549 459 123 7 4 \n", - "1 : 6538 492 100 8 4 \n", - "2 : 6562 477 94 6 3 \n", - "3 : 6565 485 77 8 7 \n", - "4 : 6532 489 106 10 5 \n", - "5 : 6544 470 110 12 6 \n", - "6 : 6548 473 113 3 5 \n", - "7 : 6515 509 99 12 7 \n", - "8 : 6563 479 83 13 4 \n", - "9 : 6562 460 110 5 5 \n", - "10 : 6556 470 98 15 3 \n", - "11 : 6523 506 102 5 6 \n", - "12 : 6561 469 101 6 5 \n", - "13 : 6567 455 121 8 3 \n", + "0 : 6555 488 87 8 4 \n", + "1 : 6588 465 82 2 5 \n", + "2 : 6531 489 107 12 3 \n", + "3 : 6569 473 89 8 3 \n", + "4 : 6522 501 103 15 1 \n", + "5 : 6561 487 79 12 3 \n", + "6 : 6517 510 106 6 3 \n", + "7 : 6548 491 94 4 5 \n", + "8 : 6553 490 88 6 5 \n", + "9 : 6583 467 79 6 7 \n", + "10 : 6559 487 86 7 3 \n", + "11 : 6532 506 93 5 6 \n", + "12 : 6545 501 87 3 6 \n", + "13 : 6592 467 84 8 3 \n", "\n", - "T : 91685 6693 1437 118 67 [100000]\n", + "T : 91755 6822 1264 102 57 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.9%\n", - "--- Adj/Tot = 0.5%\n", - "--- Update = 1.0804e-02 sec\n", - "--- Collate = 7.3864e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 3.6800e-03 sec\n", + "--- Collate = 2.6351e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.448092e-05 < 6.250000e-03 [41]\n", - "--- Max DT=3.059084e-01 > 1.000000e-01 [70982]\n", + "--- Min DT=1.957849e-04 < 6.250000e-03 [31]\n", + "--- Max DT=3.068814e-01 > 1.000000e-01 [71250]\n", "----------------------------------------------------------------------\n", - " Component | low: 41/100000\n", - " Component | high: 70982/100000\n", + " Component | low: 31/100000\n", + " Component | high: 71250/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=20.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00113068 [ 0.79 %]\n", - "Velocity : 0.00353571 [ 2.46 %]\n", - "Force : 0.0515453 [ 35.91 %]\n", - "Coefs : 0.0205767 [ 14.34 %]\n", - "Output : 0.0015973 [ 1.11 %]\n", - "Levels : 0.000288447 [ 0.20 %]\n", - "Report : 7.51e-07 [ 0.00 %]\n", - "Balance : 3.45e-07 [ 0.00 %]\n", - "Adjust : 0.0647926 [ 45.14 %]\n", - "Total : 0.143522 [100.00 %]\n", + "Drift : 0.00033162 [ 0.77 %]\n", + "Velocity : 0.000796231 [ 1.85 %]\n", + "Force : 0.0158803 [ 36.90 %]\n", + "Coefs : 0.00674597 [ 15.68 %]\n", + "Output : 0.000560923 [ 1.30 %]\n", + "Levels : 0.000114864 [ 0.27 %]\n", + "Report : 2.1e-07 [ 0.00 %]\n", + "Balance : 1.62e-07 [ 0.00 %]\n", + "Adjust : 0.0185846 [ 43.19 %]\n", + "Total : 0.0430319 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6548 463 119 7 5 \n", - "1 : 6535 495 100 7 5 \n", - "2 : 6564 476 94 4 4 \n", - "3 : 6564 484 79 8 7 \n", - "4 : 6531 490 106 10 5 \n", - "5 : 6538 477 110 11 6 \n", - "6 : 6540 482 111 4 5 \n", - "7 : 6514 506 104 10 8 \n", - "8 : 6562 481 84 12 3 \n", - "9 : 6562 459 110 7 4 \n", - "10 : 6552 474 99 14 3 \n", - "11 : 6525 504 102 6 5 \n", - "12 : 6557 473 102 6 4 \n", - "13 : 6561 462 122 6 3 \n", + "0 : 6548 493 88 8 5 \n", + "1 : 6584 470 81 2 5 \n", + "2 : 6528 493 105 13 3 \n", + "3 : 6568 474 90 6 4 \n", + "4 : 6520 503 103 14 2 \n", + "5 : 6559 489 79 12 3 \n", + "6 : 6522 507 104 6 3 \n", + "7 : 6551 487 93 6 5 \n", + "8 : 6548 499 84 6 5 \n", + "9 : 6575 475 78 7 7 \n", + "10 : 6554 491 85 9 3 \n", + "11 : 6537 500 95 4 6 \n", + "12 : 6549 497 88 3 5 \n", + "13 : 6593 466 86 7 2 \n", "\n", - "T : 91653 6726 1442 112 67 [100000]\n", + "T : 91736 6844 1259 103 58 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.3%\n", + "--- Coef/DT = 1.5%\n", "--- Adj/Tot = 0.5%\n", - "--- Update = 1.0977e-02 sec\n", - "--- Collate = 7.5816e-05 sec\n", + "--- Update = 3.7152e-03 sec\n", + "--- Collate = 2.5304e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.791808e-05 < 6.250000e-03 [36]\n", - "--- Max DT=3.059038e-01 > 1.000000e-01 [70992]\n", + "--- Min DT=7.414452e-05 < 6.250000e-03 [32]\n", + "--- Max DT=3.069104e-01 > 1.000000e-01 [71248]\n", "----------------------------------------------------------------------\n", - " Component | low: 36/100000\n", - " Component | high: 70992/100000\n", + " Component | low: 32/100000\n", + " Component | high: 71248/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=21] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00109521 [ 0.76 %]\n", - "Velocity : 0.00329581 [ 2.27 %]\n", - "Force : 0.049504 [ 34.14 %]\n", - "Coefs : 0.018279 [ 12.61 %]\n", - "Output : 0.00769873 [ 5.31 %]\n", - "Levels : 0.000272443 [ 0.19 %]\n", - "Report : 1.448e-06 [ 0.00 %]\n", - "Balance : 8.17e-07 [ 0.00 %]\n", - "Adjust : 0.0648055 [ 44.69 %]\n", - "Total : 0.145002 [100.00 %]\n", + "Drift : 0.000329475 [ 0.73 %]\n", + "Velocity : 0.000791805 [ 1.76 %]\n", + "Force : 0.0157697 [ 34.97 %]\n", + "Coefs : 0.00680042 [ 15.08 %]\n", + "Output : 0.00270776 [ 6.01 %]\n", + "Levels : 0.000130982 [ 0.29 %]\n", + "Report : 5.41e-07 [ 0.00 %]\n", + "Balance : 2.79e-07 [ 0.00 %]\n", + "Adjust : 0.0185427 [ 41.12 %]\n", + "Total : 0.0450903 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6547 464 119 8 4 \n", - "1 : 6534 499 97 7 5 \n", - "2 : 6559 480 93 5 5 \n", - "3 : 6562 486 79 8 7 \n", - "4 : 6530 492 106 10 4 \n", - "5 : 6538 473 116 9 6 \n", - "6 : 6537 485 111 3 6 \n", - "7 : 6510 508 106 9 9 \n", - "8 : 6561 481 85 9 6 \n", - "9 : 6561 459 112 5 5 \n", - "10 : 6550 476 99 14 3 \n", - "11 : 6526 505 98 8 5 \n", - "12 : 6557 470 105 5 5 \n", - "13 : 6560 468 117 6 3 \n", + "0 : 6550 495 85 8 4 \n", + "1 : 6583 470 82 2 5 \n", + "2 : 6529 490 107 11 5 \n", + "3 : 6567 476 90 4 5 \n", + "4 : 6517 504 106 13 2 \n", + "5 : 6558 490 79 10 5 \n", + "6 : 6521 509 102 7 3 \n", + "7 : 6552 483 96 6 5 \n", + "8 : 6551 496 83 8 4 \n", + "9 : 6578 471 78 7 8 \n", + "10 : 6554 492 85 8 3 \n", + "11 : 6531 509 92 6 4 \n", + "12 : 6546 499 89 4 4 \n", + "13 : 6596 466 84 6 2 \n", "\n", - "T : 91632 6746 1443 106 73 [100000]\n", + "T : 91733 6850 1258 100 59 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.8%\n", + "--- Coef/DT = 1.1%\n", "--- Adj/Tot = 0.5%\n", - "--- Update = 1.2097e-02 sec\n", - "--- Collate = 8.2471e-05 sec\n", + "--- Update = 3.6812e-03 sec\n", + "--- Collate = 2.6441e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.041082e-04 < 6.250000e-03 [41]\n", - "--- Max DT=3.058980e-01 > 1.000000e-01 [70993]\n", + "--- Min DT=1.656690e-06 < 6.250000e-03 [32]\n", + "--- Max DT=3.069383e-01 > 1.000000e-01 [71239]\n", "----------------------------------------------------------------------\n", - " Component | low: 41/100000\n", - " Component | high: 70993/100000\n", + " Component | low: 32/100000\n", + " Component | high: 71239/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=21.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00108825 [ 0.70 %]\n", - "Velocity : 0.00392815 [ 2.54 %]\n", - "Force : 0.051102 [ 33.00 %]\n", - "Coefs : 0.0215251 [ 13.90 %]\n", - "Output : 0.00161844 [ 1.05 %]\n", - "Levels : 0.000247861 [ 0.16 %]\n", - "Report : 6.47e-07 [ 0.00 %]\n", - "Balance : 3.53e-07 [ 0.00 %]\n", - "Adjust : 0.0753044 [ 48.62 %]\n", - "Total : 0.154873 [100.00 %]\n", + "Drift : 0.000362479 [ 0.84 %]\n", + "Velocity : 0.000754356 [ 1.76 %]\n", + "Force : 0.0158899 [ 37.03 %]\n", + "Coefs : 0.00674425 [ 15.72 %]\n", + "Output : 0.000590267 [ 1.38 %]\n", + "Levels : 0.000116344 [ 0.27 %]\n", + "Report : 2.62e-07 [ 0.00 %]\n", + "Balance : 1.68e-07 [ 0.00 %]\n", + "Adjust : 0.0184302 [ 42.95 %]\n", + "Total : 0.0429058 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6546 464 121 6 5 \n", - "1 : 6534 501 95 10 2 \n", - "2 : 6556 483 95 3 5 \n", - "3 : 6555 496 76 8 7 \n", - "4 : 6525 497 105 10 5 \n", - "5 : 6537 470 119 10 6 \n", - "6 : 6537 482 112 5 6 \n", - "7 : 6508 513 104 8 9 \n", - "8 : 6558 482 86 8 8 \n", - "9 : 6558 461 113 5 5 \n", - "10 : 6546 480 99 12 5 \n", - "11 : 6525 509 95 6 7 \n", - "12 : 6558 471 102 6 5 \n", - "13 : 6556 475 114 6 3 \n", + "0 : 6552 493 86 7 4 \n", + "1 : 6574 479 82 2 5 \n", + "2 : 6530 488 109 10 5 \n", + "3 : 6566 476 91 4 5 \n", + "4 : 6513 509 106 13 1 \n", + "5 : 6557 491 80 9 5 \n", + "6 : 6524 508 100 7 3 \n", + "7 : 6551 486 93 6 6 \n", + "8 : 6548 498 83 9 4 \n", + "9 : 6575 473 79 8 7 \n", + "10 : 6554 492 85 8 3 \n", + "11 : 6527 513 92 5 5 \n", + "12 : 6547 498 88 5 4 \n", + "13 : 6596 467 82 7 2 \n", "\n", - "T : 91599 6784 1436 103 78 [100000]\n", + "T : 91714 6871 1256 100 59 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.7%\n", + "--- Coef/DT = 1.2%\n", "--- Adj/Tot = 0.4%\n", - "--- Update = 1.1420e-02 sec\n", - "--- Collate = 7.9648e-05 sec\n", + "--- Update = 3.6337e-03 sec\n", + "--- Collate = 2.5228e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.319295e-05 < 6.250000e-03 [43]\n", - "--- Max DT=3.058908e-01 > 1.000000e-01 [71004]\n", + "--- Min DT=2.395574e-04 < 6.250000e-03 [36]\n", + "--- Max DT=3.069673e-01 > 1.000000e-01 [71254]\n", "----------------------------------------------------------------------\n", - " Component | low: 43/100000\n", - " Component | high: 71004/100000\n", + " Component | low: 36/100000\n", + " Component | high: 71254/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=21.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000861272 [ 0.56 %]\n", - "Velocity : 0.00304432 [ 1.97 %]\n", - "Force : 0.0538277 [ 34.83 %]\n", - "Coefs : 0.0233091 [ 15.08 %]\n", - "Output : 0.00151113 [ 0.98 %]\n", - "Levels : 0.000319747 [ 0.21 %]\n", - "Report : 6.68e-07 [ 0.00 %]\n", - "Balance : 3.04e-07 [ 0.00 %]\n", - "Adjust : 0.0716273 [ 46.34 %]\n", - "Total : 0.154554 [100.00 %]\n", + "Drift : 0.00033792 [ 0.79 %]\n", + "Velocity : 0.000767574 [ 1.78 %]\n", + "Force : 0.0159278 [ 37.02 %]\n", + "Coefs : 0.00677448 [ 15.75 %]\n", + "Output : 0.000553367 [ 1.29 %]\n", + "Levels : 0.000127887 [ 0.30 %]\n", + "Report : 3.64e-07 [ 0.00 %]\n", + "Balance : 1.6e-07 [ 0.00 %]\n", + "Adjust : 0.0185151 [ 43.04 %]\n", + "Total : 0.0430211 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6542 468 121 6 5 \n", - "1 : 6527 509 94 10 2 \n", - "2 : 6549 491 94 3 5 \n", - "3 : 6553 498 76 10 5 \n", - "4 : 6520 503 103 12 4 \n", - "5 : 6534 472 120 11 5 \n", - "6 : 6534 485 111 8 4 \n", - "7 : 6507 514 103 9 9 \n", - "8 : 6556 487 83 8 8 \n", - "9 : 6554 467 112 3 6 \n", - "10 : 6546 480 99 12 5 \n", - "11 : 6521 513 95 6 7 \n", - "12 : 6558 474 97 7 6 \n", - "13 : 6555 479 111 6 3 \n", + "0 : 6553 492 86 6 5 \n", + "1 : 6571 481 81 5 4 \n", + "2 : 6528 490 111 8 5 \n", + "3 : 6566 475 91 5 5 \n", + "4 : 6511 509 108 13 1 \n", + "5 : 6560 491 79 7 5 \n", + "6 : 6524 507 101 8 2 \n", + "7 : 6549 489 92 5 7 \n", + "8 : 6552 494 83 8 5 \n", + "9 : 6577 474 76 8 7 \n", + "10 : 6557 490 84 8 3 \n", + "11 : 6529 510 93 7 3 \n", + "12 : 6550 498 83 8 3 \n", + "13 : 6591 472 82 6 3 \n", "\n", - "T : 91556 6840 1419 111 74 [100000]\n", + "T : 91718 6872 1250 102 58 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.3%\n", - "--- Adj/Tot = 0.4%\n", - "--- Update = 1.0546e-02 sec\n", - "--- Collate = 7.2510e-05 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 3.7473e-03 sec\n", + "--- Collate = 2.4740e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.649429e-05 < 6.250000e-03 [42]\n", - "--- Max DT=3.058829e-01 > 1.000000e-01 [70987]\n", + "--- Min DT=2.893616e-05 < 6.250000e-03 [30]\n", + "--- Max DT=3.069970e-01 > 1.000000e-01 [71268]\n", "----------------------------------------------------------------------\n", - " Component | low: 42/100000\n", - " Component | high: 70987/100000\n", + " Component | low: 30/100000\n", + " Component | high: 71268/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=21.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00109813 [ 0.71 %]\n", - "Velocity : 0.00308047 [ 1.99 %]\n", - "Force : 0.0529168 [ 34.20 %]\n", - "Coefs : 0.0210443 [ 13.60 %]\n", - "Output : 0.00181021 [ 1.17 %]\n", - "Levels : 0.000402028 [ 0.26 %]\n", - "Report : 5.99e-07 [ 0.00 %]\n", - "Balance : 3.76e-07 [ 0.00 %]\n", - "Adjust : 0.0743207 [ 48.03 %]\n", - "Total : 0.154732 [100.00 %]\n", + "Drift : 0.00032835 [ 0.77 %]\n", + "Velocity : 0.000766907 [ 1.79 %]\n", + "Force : 0.015912 [ 37.10 %]\n", + "Coefs : 0.00670311 [ 15.63 %]\n", + "Output : 0.000547473 [ 1.28 %]\n", + "Levels : 0.000115205 [ 0.27 %]\n", + "Report : 2.44e-07 [ 0.00 %]\n", + "Balance : 1.6e-07 [ 0.00 %]\n", + "Adjust : 0.0184993 [ 43.13 %]\n", + "Total : 0.0428895 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6540 470 121 5 6 \n", - "1 : 6524 510 94 11 3 \n", - "2 : 6544 496 94 2 6 \n", - "3 : 6555 492 81 9 5 \n", - "4 : 6525 497 104 10 6 \n", - "5 : 6533 478 116 10 5 \n", - "6 : 6533 483 113 10 3 \n", - "7 : 6503 516 104 9 10 \n", - "8 : 6553 489 84 9 7 \n", - "9 : 6555 469 109 3 6 \n", - "10 : 6542 483 98 14 5 \n", - "11 : 6514 518 97 7 6 \n", - "12 : 6556 474 100 6 6 \n", - "13 : 6547 489 111 4 3 \n", + "0 : 6552 493 86 7 4 \n", + "1 : 6568 485 80 6 3 \n", + "2 : 6527 489 113 7 6 \n", + "3 : 6558 483 90 5 6 \n", + "4 : 6514 508 106 13 1 \n", + "5 : 6559 490 80 9 4 \n", + "6 : 6523 508 101 7 3 \n", + "7 : 6547 490 91 7 7 \n", + "8 : 6550 497 82 9 4 \n", + "9 : 6576 475 78 8 5 \n", + "10 : 6553 493 85 6 5 \n", + "11 : 6531 508 93 8 2 \n", + "12 : 6557 490 84 8 3 \n", + "13 : 6588 474 83 4 5 \n", "\n", - "T : 91524 6864 1426 109 77 [100000]\n", + "T : 91703 6883 1252 104 58 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 1.5%\n", - "--- Adj/Tot = 0.4%\n", - "--- Update = 1.0447e-02 sec\n", - "--- Collate = 7.6841e-05 sec\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 3.6714e-03 sec\n", + "--- Collate = 2.4327e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.066028e-06 < 6.250000e-03 [39]\n", - "--- Max DT=3.058750e-01 > 1.000000e-01 [70997]\n", + "--- Min DT=8.103984e-05 < 6.250000e-03 [28]\n", + "--- Max DT=3.070255e-01 > 1.000000e-01 [71269]\n", "----------------------------------------------------------------------\n", - " Component | low: 39/100000\n", - " Component | high: 70997/100000\n", + " Component | low: 28/100000\n", + " Component | high: 71269/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=21.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00134832 [ 0.94 %]\n", - "Velocity : 0.00339464 [ 2.37 %]\n", - "Force : 0.0492661 [ 34.37 %]\n", - "Coefs : 0.0184798 [ 12.89 %]\n", - "Output : 0.00166536 [ 1.16 %]\n", - "Levels : 0.000273377 [ 0.19 %]\n", - "Report : 7.31e-07 [ 0.00 %]\n", - "Balance : 3.55e-07 [ 0.00 %]\n", - "Adjust : 0.0688748 [ 48.04 %]\n", - "Total : 0.143359 [100.00 %]\n", + "Drift : 0.000312339 [ 0.73 %]\n", + "Velocity : 0.000770596 [ 1.79 %]\n", + "Force : 0.0159561 [ 37.11 %]\n", + "Coefs : 0.00673066 [ 15.65 %]\n", + "Output : 0.000551411 [ 1.28 %]\n", + "Levels : 0.000113342 [ 0.26 %]\n", + "Report : 3.43e-07 [ 0.00 %]\n", + "Balance : 1.72e-07 [ 0.00 %]\n", + "Adjust : 0.0185453 [ 43.13 %]\n", + "Total : 0.0429978 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6534 477 121 5 5 \n", - "1 : 6526 507 98 8 3 \n", - "2 : 6540 499 95 2 6 \n", - "3 : 6551 495 82 9 5 \n", - "4 : 6525 494 106 11 6 \n", - "5 : 6533 477 117 11 4 \n", - "6 : 6531 486 111 11 3 \n", - "7 : 6500 517 106 10 9 \n", - "8 : 6555 487 86 6 8 \n", - "9 : 6553 472 107 5 5 \n", - "10 : 6545 479 99 14 5 \n", - "11 : 6514 518 100 6 4 \n", - "12 : 6557 472 101 6 6 \n", - "13 : 6545 489 113 4 3 \n", + "0 : 6555 491 85 8 3 \n", + "1 : 6567 486 79 7 3 \n", + "2 : 6527 488 114 7 6 \n", + "3 : 6557 484 90 5 6 \n", + "4 : 6518 503 108 12 1 \n", + "5 : 6553 497 79 10 3 \n", + "6 : 6526 507 99 7 3 \n", + "7 : 6547 491 90 8 6 \n", + "8 : 6550 497 83 9 3 \n", + "9 : 6574 476 79 6 7 \n", + "10 : 6549 499 83 6 5 \n", + "11 : 6529 510 93 7 3 \n", + "12 : 6556 485 90 8 3 \n", + "13 : 6588 474 83 5 4 \n", "\n", - "T : 91509 6869 1442 108 72 [100000]\n", + "T : 91696 6888 1255 105 56 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.4%\n", + "--- Coef/DT = 1.2%\n", "--- Adj/Tot = 0.4%\n", - "--- Update = 1.0861e-02 sec\n", - "--- Collate = 7.9571e-05 sec\n", + "--- Update = 3.7153e-03 sec\n", + "--- Collate = 2.5432e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.311938e-05 < 6.250000e-03 [36]\n", - "--- Max DT=3.058666e-01 > 1.000000e-01 [71007]\n", + "--- Min DT=4.943732e-05 < 6.250000e-03 [31]\n", + "--- Max DT=3.070553e-01 > 1.000000e-01 [71264]\n", "----------------------------------------------------------------------\n", - " Component | low: 36/100000\n", - " Component | high: 71007/100000\n", + " Component | low: 31/100000\n", + " Component | high: 71264/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=21.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00115757 [ 0.83 %]\n", - "Velocity : 0.00348037 [ 2.50 %]\n", - "Force : 0.050562 [ 36.39 %]\n", - "Coefs : 0.0178824 [ 12.87 %]\n", - "Output : 0.00147819 [ 1.06 %]\n", - "Levels : 0.000249843 [ 0.18 %]\n", - "Report : 5.98e-07 [ 0.00 %]\n", - "Balance : 3.5e-07 [ 0.00 %]\n", - "Adjust : 0.064086 [ 46.12 %]\n", - "Total : 0.138949 [100.00 %]\n", + "Drift : 0.000333101 [ 0.78 %]\n", + "Velocity : 0.000771979 [ 1.80 %]\n", + "Force : 0.0159527 [ 37.13 %]\n", + "Coefs : 0.00675216 [ 15.72 %]\n", + "Output : 0.000552102 [ 1.28 %]\n", + "Levels : 0.000127959 [ 0.30 %]\n", + "Report : 1.9e-07 [ 0.00 %]\n", + "Balance : 1.65e-07 [ 0.00 %]\n", + "Adjust : 0.0184577 [ 42.96 %]\n", + "Total : 0.0429655 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6534 476 120 8 4 \n", - "1 : 6524 509 98 8 3 \n", - "2 : 6539 499 95 4 5 \n", - "3 : 6552 495 81 9 5 \n", - "4 : 6521 499 106 10 6 \n", - "5 : 6530 479 117 14 2 \n", - "6 : 6536 480 112 11 3 \n", - "7 : 6500 517 107 11 7 \n", - "8 : 6550 491 86 8 7 \n", - "9 : 6552 468 112 7 3 \n", - "10 : 6536 486 100 15 5 \n", - "11 : 6513 522 97 6 4 \n", - "12 : 6551 470 109 7 5 \n", - "13 : 6547 487 112 5 3 \n", + "0 : 6551 494 85 9 3 \n", + "1 : 6572 479 80 9 2 \n", + "2 : 6527 489 113 7 6 \n", + "3 : 6551 490 89 7 5 \n", + "4 : 6516 505 109 10 2 \n", + "5 : 6556 494 78 11 3 \n", + "6 : 6527 506 98 8 3 \n", + "7 : 6544 495 89 7 7 \n", + "8 : 6552 495 83 9 3 \n", + "9 : 6567 480 82 5 8 \n", + "10 : 6549 501 81 5 6 \n", + "11 : 6530 509 93 6 4 \n", + "12 : 6556 485 90 8 3 \n", + "13 : 6588 472 85 5 4 \n", "\n", - "T : 91485 6878 1452 123 62 [100000]\n", + "T : 91686 6894 1255 106 59 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.2%\n", + "--- Coef/DT = 1.4%\n", "--- Adj/Tot = 0.4%\n", - "--- Update = 1.0589e-02 sec\n", - "--- Collate = 7.0877e-05 sec\n", + "--- Update = 3.6579e-03 sec\n", + "--- Collate = 2.6517e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.381014e-04 < 6.250000e-03 [32]\n", - "--- Max DT=3.058566e-01 > 1.000000e-01 [71012]\n", + "--- Min DT=1.321364e-06 < 6.250000e-03 [31]\n", + "--- Max DT=3.070851e-01 > 1.000000e-01 [71257]\n", "----------------------------------------------------------------------\n", - " Component | low: 32/100000\n", - " Component | high: 71012/100000\n", + " Component | low: 31/100000\n", + " Component | high: 71257/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=21.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00127937 [ 0.90 %]\n", - "Velocity : 0.00336705 [ 2.37 %]\n", - "Force : 0.0497253 [ 35.06 %]\n", - "Coefs : 0.0178443 [ 12.58 %]\n", - "Output : 0.00166554 [ 1.17 %]\n", - "Levels : 0.000318013 [ 0.22 %]\n", - "Report : 7.91e-07 [ 0.00 %]\n", - "Balance : 5.83e-07 [ 0.00 %]\n", - "Adjust : 0.0675678 [ 47.64 %]\n", - "Total : 0.141824 [100.00 %]\n", + "Drift : 0.000333544 [ 0.78 %]\n", + "Velocity : 0.000787645 [ 1.83 %]\n", + "Force : 0.0158383 [ 36.89 %]\n", + "Coefs : 0.00672068 [ 15.65 %]\n", + "Output : 0.000559975 [ 1.30 %]\n", + "Levels : 0.000134584 [ 0.31 %]\n", + "Report : 1.88e-07 [ 0.00 %]\n", + "Balance : 1.78e-07 [ 0.00 %]\n", + "Adjust : 0.0185374 [ 43.18 %]\n", + "Total : 0.0429303 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6529 481 121 8 3 \n", - "1 : 6521 512 98 7 4 \n", - "2 : 6535 500 98 5 4 \n", - "3 : 6552 494 81 8 7 \n", - "4 : 6516 507 104 8 7 \n", - "5 : 6534 477 115 13 3 \n", - "6 : 6532 483 114 11 2 \n", - "7 : 6492 525 107 12 6 \n", - "8 : 6550 491 85 9 7 \n", - "9 : 6548 472 110 9 3 \n", - "10 : 6534 486 103 15 4 \n", - "11 : 6511 523 97 7 4 \n", - "12 : 6556 464 109 9 4 \n", - "13 : 6540 494 112 5 3 \n", + "0 : 6551 494 84 8 5 \n", + "1 : 6573 477 80 11 1 \n", + "2 : 6528 488 112 8 6 \n", + "3 : 6548 493 90 7 4 \n", + "4 : 6511 510 107 11 3 \n", + "5 : 6554 494 81 9 4 \n", + "6 : 6523 509 98 8 4 \n", + "7 : 6544 497 87 8 6 \n", + "8 : 6550 496 85 8 3 \n", + "9 : 6566 481 83 6 6 \n", + "10 : 6548 501 82 6 5 \n", + "11 : 6526 513 93 5 5 \n", + "12 : 6555 486 91 8 2 \n", + "13 : 6589 470 85 8 2 \n", "\n", - "T : 91450 6909 1454 126 61 [100000]\n", + "T : 91666 6909 1258 111 56 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 1.4%\n", - "--- Adj/Tot = 0.4%\n", - "--- Update = 1.3025e-02 sec\n", - "--- Collate = 8.3948e-05 sec\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 3.7099e-03 sec\n", + "--- Collate = 2.5464e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.508123e-04 < 6.250000e-03 [26]\n", - "--- Max DT=3.058462e-01 > 1.000000e-01 [71012]\n", + "--- Min DT=9.029844e-05 < 6.250000e-03 [24]\n", + "--- Max DT=3.071152e-01 > 1.000000e-01 [71269]\n", "----------------------------------------------------------------------\n", - " Component | low: 26/100000\n", - " Component | high: 71012/100000\n", + " Component | low: 24/100000\n", + " Component | high: 71269/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=21.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000655111 [ 0.45 %]\n", - "Velocity : 0.00448279 [ 3.06 %]\n", - "Force : 0.0503695 [ 34.40 %]\n", - "Coefs : 0.0176205 [ 12.03 %]\n", - "Output : 0.00164898 [ 1.13 %]\n", - "Levels : 0.000274574 [ 0.19 %]\n", - "Report : 1.173e-06 [ 0.00 %]\n", - "Balance : 3.08e-07 [ 0.00 %]\n", - "Adjust : 0.0713091 [ 48.70 %]\n", - "Total : 0.146417 [100.00 %]\n", + "Drift : 0.000338184 [ 0.78 %]\n", + "Velocity : 0.000773598 [ 1.79 %]\n", + "Force : 0.015932 [ 36.94 %]\n", + "Coefs : 0.0067586 [ 15.67 %]\n", + "Output : 0.000574452 [ 1.33 %]\n", + "Levels : 0.000111756 [ 0.26 %]\n", + "Report : 2.05e-07 [ 0.00 %]\n", + "Balance : 1.67e-07 [ 0.00 %]\n", + "Adjust : 0.0186218 [ 43.18 %]\n", + "Total : 0.0431281 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6526 479 126 10 1 \n", - "1 : 6520 516 96 6 4 \n", - "2 : 6534 503 95 6 4 \n", - "3 : 6552 493 83 9 5 \n", - "4 : 6519 504 101 11 7 \n", - "5 : 6527 488 111 11 5 \n", - "6 : 6527 485 118 10 2 \n", - "7 : 6491 525 110 11 5 \n", - "8 : 6548 495 84 8 7 \n", - "9 : 6543 477 110 10 2 \n", - "10 : 6537 482 103 17 3 \n", - "11 : 6512 521 98 7 4 \n", - "12 : 6552 470 107 10 3 \n", - "13 : 6540 494 111 6 3 \n", + "0 : 6547 499 84 7 5 \n", + "1 : 6573 476 81 11 1 \n", + "2 : 6530 486 112 8 6 \n", + "3 : 6551 490 90 8 3 \n", + "4 : 6516 506 105 12 3 \n", + "5 : 6551 495 82 8 6 \n", + "6 : 6515 517 98 8 4 \n", + "7 : 6540 504 84 9 5 \n", + "8 : 6555 489 86 8 4 \n", + "9 : 6563 484 83 8 4 \n", + "10 : 6546 504 82 6 4 \n", + "11 : 6527 514 89 8 4 \n", + "12 : 6545 497 90 8 2 \n", + "13 : 6586 473 84 8 3 \n", "\n", - "T : 91428 6932 1453 132 55 [100000]\n", + "T : 91645 6934 1250 117 54 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.1%\n", + "--- Coef/DT = 1.4%\n", "--- Adj/Tot = 0.4%\n", - "--- Update = 1.1792e-02 sec\n", - "--- Collate = 5.9310e-05 sec\n", + "--- Update = 3.6817e-03 sec\n", + "--- Collate = 2.3849e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.600832e-04 < 6.250000e-03 [28]\n", - "--- Max DT=3.058342e-01 > 1.000000e-01 [71041]\n", + "--- Min DT=4.438778e-05 < 6.250000e-03 [27]\n", + "--- Max DT=3.071453e-01 > 1.000000e-01 [71260]\n", "----------------------------------------------------------------------\n", - " Component | low: 28/100000\n", - " Component | high: 71041/100000\n", + " Component | low: 27/100000\n", + " Component | high: 71260/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=21.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0009601 [ 0.67 %]\n", - "Velocity : 0.00310134 [ 2.18 %]\n", - "Force : 0.0507326 [ 35.59 %]\n", - "Coefs : 0.0181232 [ 12.71 %]\n", - "Output : 0.00154164 [ 1.08 %]\n", - "Levels : 0.000248111 [ 0.17 %]\n", - "Report : 5.84e-07 [ 0.00 %]\n", - "Balance : 3.93e-07 [ 0.00 %]\n", - "Adjust : 0.0677835 [ 47.55 %]\n", - "Total : 0.142547 [100.00 %]\n", + "Drift : 0.000327234 [ 0.76 %]\n", + "Velocity : 0.000781649 [ 1.83 %]\n", + "Force : 0.0158358 [ 36.99 %]\n", + "Coefs : 0.00671112 [ 15.68 %]\n", + "Output : 0.000561641 [ 1.31 %]\n", + "Levels : 0.000119329 [ 0.28 %]\n", + "Report : 2.18e-07 [ 0.00 %]\n", + "Balance : 1.64e-07 [ 0.00 %]\n", + "Adjust : 0.018453 [ 43.11 %]\n", + "Total : 0.0428066 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6524 475 131 10 2 \n", - "1 : 6520 516 95 10 1 \n", - "2 : 6535 503 95 5 4 \n", - "3 : 6551 496 80 10 5 \n", - "4 : 6513 507 103 11 8 \n", - "5 : 6522 492 114 8 6 \n", - "6 : 6526 485 119 9 3 \n", - "7 : 6493 523 110 10 6 \n", - "8 : 6545 497 85 11 4 \n", - "9 : 6542 478 112 8 2 \n", - "10 : 6534 486 101 17 4 \n", - "11 : 6507 526 98 7 4 \n", - "12 : 6546 479 106 8 3 \n", - "13 : 6538 499 107 8 2 \n", + "0 : 6548 498 84 8 4 \n", + "1 : 6568 480 83 8 3 \n", + "2 : 6527 488 113 9 5 \n", + "3 : 6552 489 90 9 2 \n", + "4 : 6522 500 104 12 4 \n", + "5 : 6544 503 82 8 5 \n", + "6 : 6518 514 96 9 5 \n", + "7 : 6544 499 87 7 5 \n", + "8 : 6554 495 81 7 5 \n", + "9 : 6554 493 83 8 4 \n", + "10 : 6546 503 82 7 4 \n", + "11 : 6522 518 90 7 5 \n", + "12 : 6544 497 91 7 3 \n", + "13 : 6589 469 85 8 3 \n", "\n", - "T : 91396 6962 1456 132 54 [100000]\n", + "T : 91632 6946 1251 114 57 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.5%\n", + "--- Coef/DT = 1.3%\n", "--- Adj/Tot = 0.5%\n", - "--- Update = 1.2341e-02 sec\n", - "--- Collate = 7.6388e-05 sec\n", + "--- Update = 3.6645e-03 sec\n", + "--- Collate = 2.6217e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.815923e-05 < 6.250000e-03 [30]\n", - "--- Max DT=3.058218e-01 > 1.000000e-01 [71045]\n", + "--- Min DT=1.272518e-04 < 6.250000e-03 [25]\n", + "--- Max DT=3.071751e-01 > 1.000000e-01 [71266]\n", "----------------------------------------------------------------------\n", - " Component | low: 30/100000\n", - " Component | high: 71045/100000\n", + " Component | low: 25/100000\n", + " Component | high: 71266/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=21.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000898072 [ 0.58 %]\n", - "Velocity : 0.00370951 [ 2.41 %]\n", - "Force : 0.0554155 [ 36.04 %]\n", - "Coefs : 0.0201003 [ 13.07 %]\n", - "Output : 0.00168831 [ 1.10 %]\n", - "Levels : 0.000281704 [ 0.18 %]\n", - "Report : 5.32e-07 [ 0.00 %]\n", - "Balance : 4.1e-07 [ 0.00 %]\n", - "Adjust : 0.0715922 [ 46.57 %]\n", - "Total : 0.153743 [100.00 %]\n", + "Drift : 0.000330328 [ 0.77 %]\n", + "Velocity : 0.000780767 [ 1.82 %]\n", + "Force : 0.0158457 [ 36.98 %]\n", + "Coefs : 0.00672342 [ 15.69 %]\n", + "Output : 0.000574592 [ 1.34 %]\n", + "Levels : 0.000114516 [ 0.27 %]\n", + "Report : 3.87e-07 [ 0.00 %]\n", + "Balance : 1.62e-07 [ 0.00 %]\n", + "Adjust : 0.0184613 [ 43.08 %]\n", + "Total : 0.0428489 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6525 475 129 9 4 \n", - "1 : 6514 519 99 8 2 \n", - "2 : 6530 506 97 4 5 \n", - "3 : 6546 501 80 10 5 \n", - "4 : 6511 512 98 13 8 \n", - "5 : 6525 489 113 8 7 \n", - "6 : 6520 494 115 10 3 \n", - "7 : 6486 529 111 9 7 \n", - "8 : 6550 491 86 13 2 \n", - "9 : 6544 479 109 7 3 \n", - "10 : 6529 489 103 15 6 \n", - "11 : 6508 523 99 7 5 \n", - "12 : 6542 487 102 8 3 \n", - "13 : 6533 501 110 9 1 \n", + "0 : 6551 494 83 11 3 \n", + "1 : 6563 485 82 9 3 \n", + "2 : 6522 493 111 12 4 \n", + "3 : 6555 486 90 9 2 \n", + "4 : 6518 506 102 11 5 \n", + "5 : 6539 508 82 8 5 \n", + "6 : 6510 524 93 10 5 \n", + "7 : 6542 500 87 8 5 \n", + "8 : 6553 497 81 8 3 \n", + "9 : 6549 497 84 7 5 \n", + "10 : 6545 502 83 8 4 \n", + "11 : 6523 517 91 6 5 \n", + "12 : 6540 500 94 5 3 \n", + "13 : 6587 470 86 8 3 \n", "\n", - "T : 91363 6995 1451 130 61 [100000]\n", + "T : 91597 6979 1249 120 55 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.4%\n", + "--- Coef/DT = 1.3%\n", "--- Adj/Tot = 0.5%\n", - "--- Update = 1.6749e-02 sec\n", - "--- Collate = 6.2504e-05 sec\n", + "--- Update = 3.7011e-03 sec\n", + "--- Collate = 2.6073e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.180362e-04 < 6.250000e-03 [26]\n", - "--- Max DT=3.058091e-01 > 1.000000e-01 [71064]\n", + "--- Min DT=2.793895e-05 < 6.250000e-03 [31]\n", + "--- Max DT=3.072051e-01 > 1.000000e-01 [71277]\n", "----------------------------------------------------------------------\n", - " Component | low: 26/100000\n", - " Component | high: 71064/100000\n", + " Component | low: 31/100000\n", + " Component | high: 71277/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=22] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00119425 [ 0.58 %]\n", - "Velocity : 0.00226176 [ 1.09 %]\n", - "Force : 0.0750525 [ 36.32 %]\n", - "Coefs : 0.0297808 [ 14.41 %]\n", - "Output : 0.00817167 [ 3.95 %]\n", - "Levels : 0.000266401 [ 0.13 %]\n", - "Report : 1.689e-06 [ 0.00 %]\n", - "Balance : 7.55e-07 [ 0.00 %]\n", - "Adjust : 0.0898376 [ 43.48 %]\n", - "Total : 0.20662 [100.00 %]\n", + "Drift : 0.000324649 [ 0.72 %]\n", + "Velocity : 0.000783476 [ 1.73 %]\n", + "Force : 0.0159811 [ 35.22 %]\n", + "Coefs : 0.00674597 [ 14.87 %]\n", + "Output : 0.00272012 [ 6.00 %]\n", + "Levels : 0.000134975 [ 0.30 %]\n", + "Report : 4.39e-07 [ 0.00 %]\n", + "Balance : 2.39e-07 [ 0.00 %]\n", + "Adjust : 0.0186598 [ 41.13 %]\n", + "Total : 0.0453705 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6521 478 131 7 5 \n", - "1 : 6510 520 99 11 2 \n", - "2 : 6529 505 99 6 3 \n", - "3 : 6546 500 83 9 4 \n", - "4 : 6506 518 96 14 8 \n", - "5 : 6524 490 114 7 7 \n", - "6 : 6514 500 117 8 3 \n", - "7 : 6491 524 110 10 7 \n", - "8 : 6550 490 87 12 3 \n", - "9 : 6545 480 108 5 4 \n", - "10 : 6518 499 105 14 6 \n", - "11 : 6499 533 98 8 4 \n", - "12 : 6545 481 106 8 2 \n", - "13 : 6532 499 112 10 1 \n", + "0 : 6551 495 82 10 4 \n", + "1 : 6562 485 84 7 4 \n", + "2 : 6518 498 111 10 5 \n", + "3 : 6551 490 90 8 3 \n", + "4 : 6516 513 95 11 7 \n", + "5 : 6544 503 78 13 4 \n", + "6 : 6507 526 95 10 4 \n", + "7 : 6543 498 87 8 6 \n", + "8 : 6554 496 81 7 4 \n", + "9 : 6551 494 84 8 5 \n", + "10 : 6536 510 84 8 4 \n", + "11 : 6518 522 91 7 4 \n", + "12 : 6537 502 95 6 2 \n", + "13 : 6585 474 84 8 3 \n", "\n", - "T : 91330 7017 1465 129 59 [100000]\n", + "T : 91573 7006 1241 121 59 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.6%\n", + "--- Coef/DT = 1.2%\n", "--- Adj/Tot = 0.5%\n", - "--- Update = 1.0774e-02 sec\n", - "--- Collate = 7.5742e-05 sec\n", + "--- Update = 3.7037e-03 sec\n", + "--- Collate = 2.6772e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.231515e-05 < 6.250000e-03 [27]\n", - "--- Max DT=3.057956e-01 > 1.000000e-01 [71082]\n", + "--- Min DT=1.618860e-04 < 6.250000e-03 [34]\n", + "--- Max DT=3.072354e-01 > 1.000000e-01 [71278]\n", "----------------------------------------------------------------------\n", - " Component | low: 27/100000\n", - " Component | high: 71082/100000\n", + " Component | low: 34/100000\n", + " Component | high: 71278/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=22.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000832156 [ 0.56 %]\n", - "Velocity : 0.00276514 [ 1.86 %]\n", - "Force : 0.0541094 [ 36.43 %]\n", - "Coefs : 0.021734 [ 14.63 %]\n", - "Output : 0.00160192 [ 1.08 %]\n", - "Levels : 0.000306567 [ 0.21 %]\n", - "Report : 8.63e-07 [ 0.00 %]\n", - "Balance : 3.02e-07 [ 0.00 %]\n", - "Adjust : 0.06712 [ 45.19 %]\n", - "Total : 0.148529 [100.00 %]\n", + "Drift : 0.000322295 [ 0.75 %]\n", + "Velocity : 0.000756083 [ 1.76 %]\n", + "Force : 0.0158467 [ 36.91 %]\n", + "Coefs : 0.00675799 [ 15.74 %]\n", + "Output : 0.000585985 [ 1.36 %]\n", + "Levels : 0.000136374 [ 0.32 %]\n", + "Report : 2.18e-07 [ 0.00 %]\n", + "Balance : 2.01e-07 [ 0.00 %]\n", + "Adjust : 0.0185136 [ 43.12 %]\n", + "Total : 0.0429391 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6521 480 129 6 6 \n", - "1 : 6503 523 103 11 2 \n", - "2 : 6526 507 100 6 3 \n", - "3 : 6540 505 84 9 4 \n", - "4 : 6503 519 99 13 8 \n", - "5 : 6522 495 111 8 6 \n", - "6 : 6515 498 118 6 5 \n", - "7 : 6485 531 108 9 9 \n", - "8 : 6545 492 90 10 5 \n", - "9 : 6543 482 106 7 4 \n", - "10 : 6518 500 104 11 9 \n", - "11 : 6498 530 100 12 2 \n", - "12 : 6546 480 106 7 3 \n", - "13 : 6530 506 105 11 2 \n", + "0 : 6548 501 80 10 3 \n", + "1 : 6563 486 83 5 5 \n", + "2 : 6521 497 112 6 6 \n", + "3 : 6551 490 91 7 3 \n", + "4 : 6518 512 94 11 7 \n", + "5 : 6544 504 77 14 3 \n", + "6 : 6506 527 95 9 5 \n", + "7 : 6541 500 87 8 6 \n", + "8 : 6550 500 81 9 2 \n", + "9 : 6550 493 86 8 5 \n", + "10 : 6538 508 85 7 4 \n", + "11 : 6511 529 91 6 5 \n", + "12 : 6536 504 94 6 2 \n", + "13 : 6589 469 86 7 3 \n", "\n", - "T : 91295 7048 1463 126 68 [100000]\n", + "T : 91566 7020 1242 113 59 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.1%\n", - "--- Adj/Tot = 0.4%\n", - "--- Update = 1.4477e-02 sec\n", - "--- Collate = 1.7592e-04 sec\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 3.7133e-03 sec\n", + "--- Collate = 2.7335e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.656795e-05 < 6.250000e-03 [33]\n", - "--- Max DT=3.057817e-01 > 1.000000e-01 [71088]\n", + "--- Min DT=3.729057e-05 < 6.250000e-03 [38]\n", + "--- Max DT=3.072653e-01 > 1.000000e-01 [71275]\n", "----------------------------------------------------------------------\n", - " Component | low: 33/100000\n", - " Component | high: 71088/100000\n", + " Component | low: 38/100000\n", + " Component | high: 71275/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=22.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000961906 [ 0.66 %]\n", - "Velocity : 0.00252982 [ 1.74 %]\n", - "Force : 0.0507277 [ 34.86 %]\n", - "Coefs : 0.0185196 [ 12.73 %]\n", - "Output : 0.00152962 [ 1.05 %]\n", - "Levels : 0.000335667 [ 0.23 %]\n", - "Report : 1.345e-06 [ 0.00 %]\n", - "Balance : 3.49e-07 [ 0.00 %]\n", - "Adjust : 0.0708663 [ 48.70 %]\n", - "Total : 0.145527 [100.00 %]\n", + "Drift : 0.00033534 [ 0.77 %]\n", + "Velocity : 0.000801215 [ 1.85 %]\n", + "Force : 0.0158917 [ 36.72 %]\n", + "Coefs : 0.00677139 [ 15.65 %]\n", + "Output : 0.000588118 [ 1.36 %]\n", + "Levels : 0.000113503 [ 0.26 %]\n", + "Report : 1.87e-07 [ 0.00 %]\n", + "Balance : 1.71e-07 [ 0.00 %]\n", + "Adjust : 0.0187538 [ 43.34 %]\n", + "Total : 0.0432755 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6518 485 127 8 4 \n", - "1 : 6504 518 107 11 2 \n", - "2 : 6525 509 98 8 2 \n", - "3 : 6539 506 84 10 3 \n", - "4 : 6497 528 96 14 7 \n", - "5 : 6522 492 115 5 8 \n", - "6 : 6509 504 118 6 5 \n", - "7 : 6485 531 108 11 7 \n", - "8 : 6544 489 93 13 3 \n", - "9 : 6542 483 106 8 3 \n", - "10 : 6520 496 107 9 10 \n", - "11 : 6494 532 103 11 2 \n", - "12 : 6543 480 108 8 3 \n", - "13 : 6525 515 102 10 2 \n", + "0 : 6539 509 81 10 3 \n", + "1 : 6562 489 81 4 6 \n", + "2 : 6518 499 114 6 5 \n", + "3 : 6550 492 92 5 3 \n", + "4 : 6515 514 95 9 9 \n", + "5 : 6546 503 77 12 4 \n", + "6 : 6503 532 92 11 4 \n", + "7 : 6540 501 86 6 9 \n", + "8 : 6550 500 81 9 2 \n", + "9 : 6552 491 87 6 6 \n", + "10 : 6537 510 84 7 4 \n", + "11 : 6513 529 90 4 6 \n", + "12 : 6536 503 95 6 2 \n", + "13 : 6596 460 88 7 3 \n", "\n", - "T : 91267 7068 1472 132 61 [100000]\n", + "T : 91557 7032 1243 102 66 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.4%\n", - "--- Adj/Tot = 0.5%\n", - "--- Update = 1.0848e-02 sec\n", - "--- Collate = 7.5325e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 3.7016e-03 sec\n", + "--- Collate = 2.6180e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.230352e-05 < 6.250000e-03 [35]\n", - "--- Max DT=3.057656e-01 > 1.000000e-01 [71091]\n", + "--- Min DT=2.349726e-05 < 6.250000e-03 [37]\n", + "--- Max DT=3.072957e-01 > 1.000000e-01 [71265]\n", "----------------------------------------------------------------------\n", - " Component | low: 35/100000\n", - " Component | high: 71091/100000\n", + " Component | low: 37/100000\n", + " Component | high: 71265/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=22.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00105924 [ 0.77 %]\n", - "Velocity : 0.00262876 [ 1.92 %]\n", - "Force : 0.050101 [ 36.56 %]\n", - "Coefs : 0.0190762 [ 13.92 %]\n", - "Output : 0.00149643 [ 1.09 %]\n", - "Levels : 0.000286766 [ 0.21 %]\n", - "Report : 8.86e-07 [ 0.00 %]\n", - "Balance : 3.56e-07 [ 0.00 %]\n", - "Adjust : 0.0623172 [ 45.48 %]\n", - "Total : 0.137021 [100.00 %]\n", + "Drift : 0.000328867 [ 0.77 %]\n", + "Velocity : 0.000786911 [ 1.83 %]\n", + "Force : 0.0158949 [ 37.02 %]\n", + "Coefs : 0.00673873 [ 15.69 %]\n", + "Output : 0.000575597 [ 1.34 %]\n", + "Levels : 0.000125348 [ 0.29 %]\n", + "Report : 3e-07 [ 0.00 %]\n", + "Balance : 1.72e-07 [ 0.00 %]\n", + "Adjust : 0.0184714 [ 43.02 %]\n", + "Total : 0.0429403 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6517 486 127 6 6 \n", - "1 : 6495 526 109 8 4 \n", - "2 : 6519 514 99 7 3 \n", - "3 : 6535 509 84 10 4 \n", - "4 : 6498 529 94 15 6 \n", - "5 : 6517 496 116 4 9 \n", - "6 : 6508 503 121 5 5 \n", - "7 : 6487 527 110 12 6 \n", - "8 : 6539 495 92 12 4 \n", - "9 : 6539 486 106 8 3 \n", - "10 : 6524 490 109 11 8 \n", - "11 : 6492 534 104 9 3 \n", - "12 : 6537 488 106 6 5 \n", - "13 : 6524 520 97 10 3 \n", + "0 : 6539 510 79 10 4 \n", + "1 : 6567 486 79 6 4 \n", + "2 : 6514 503 114 5 6 \n", + "3 : 6548 494 92 5 3 \n", + "4 : 6513 517 94 7 11 \n", + "5 : 6542 509 75 11 5 \n", + "6 : 6502 531 95 9 5 \n", + "7 : 6538 501 88 6 9 \n", + "8 : 6555 492 84 9 2 \n", + "9 : 6547 495 88 6 6 \n", + "10 : 6540 510 80 8 4 \n", + "11 : 6510 531 91 4 6 \n", + "12 : 6534 506 93 7 2 \n", + "13 : 6598 459 87 8 2 \n", "\n", - "T : 91231 7103 1474 123 69 [100000]\n", + "T : 91547 7044 1239 101 69 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.7%\n", - "--- Adj/Tot = 0.4%\n", - "--- Update = 1.1217e-02 sec\n", - "--- Collate = 7.1827e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 3.7613e-03 sec\n", + "--- Collate = 2.7037e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.850968e-05 < 6.250000e-03 [33]\n", - "--- Max DT=3.057497e-01 > 1.000000e-01 [71080]\n", + "--- Min DT=1.040726e-04 < 6.250000e-03 [41]\n", + "--- Max DT=3.073258e-01 > 1.000000e-01 [71250]\n", "----------------------------------------------------------------------\n", - " Component | low: 33/100000\n", - " Component | high: 71080/100000\n", + " Component | low: 41/100000\n", + " Component | high: 71250/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=22.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000823375 [ 0.57 %]\n", - "Velocity : 0.00256463 [ 1.77 %]\n", - "Force : 0.053922 [ 37.28 %]\n", - "Coefs : 0.0205197 [ 14.19 %]\n", - "Output : 0.00149257 [ 1.03 %]\n", - "Levels : 0.000320292 [ 0.22 %]\n", - "Report : 9.62e-07 [ 0.00 %]\n", - "Balance : 4.48e-07 [ 0.00 %]\n", - "Adjust : 0.0649303 [ 44.89 %]\n", - "Total : 0.144628 [100.00 %]\n", + "Drift : 0.000331772 [ 0.77 %]\n", + "Velocity : 0.000780301 [ 1.81 %]\n", + "Force : 0.015913 [ 36.95 %]\n", + "Coefs : 0.00677084 [ 15.72 %]\n", + "Output : 0.000592953 [ 1.38 %]\n", + "Levels : 0.000110908 [ 0.26 %]\n", + "Report : 2.03e-07 [ 0.00 %]\n", + "Balance : 1.74e-07 [ 0.00 %]\n", + "Adjust : 0.0185464 [ 43.07 %]\n", + "Total : 0.0430655 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6518 489 123 6 6 \n", - "1 : 6494 531 106 6 5 \n", - "2 : 6512 523 97 7 3 \n", - "3 : 6535 507 88 8 4 \n", - "4 : 6501 524 96 18 3 \n", - "5 : 6516 498 114 6 8 \n", - "6 : 6507 509 117 3 6 \n", - "7 : 6490 523 111 12 6 \n", - "8 : 6533 497 94 14 4 \n", - "9 : 6538 490 103 8 3 \n", - "10 : 6518 493 110 14 7 \n", - "11 : 6488 539 104 9 2 \n", - "12 : 6531 493 108 5 5 \n", - "13 : 6523 520 99 9 3 \n", + "0 : 6539 512 77 11 3 \n", + "1 : 6561 491 80 6 4 \n", + "2 : 6518 498 115 5 6 \n", + "3 : 6551 493 90 5 3 \n", + "4 : 6504 523 98 6 11 \n", + "5 : 6537 513 75 11 6 \n", + "6 : 6501 532 95 9 5 \n", + "7 : 6536 503 88 7 8 \n", + "8 : 6549 496 85 10 2 \n", + "9 : 6547 495 88 7 5 \n", + "10 : 6540 508 82 8 4 \n", + "11 : 6511 529 91 4 7 \n", + "12 : 6532 507 94 8 1 \n", + "13 : 6594 462 87 9 2 \n", "\n", - "T : 91204 7136 1470 125 65 [100000]\n", + "T : 91520 7062 1245 106 67 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.3%\n", - "--- Adj/Tot = 0.4%\n", - "--- Update = 1.1835e-02 sec\n", - "--- Collate = 7.0229e-05 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 3.7058e-03 sec\n", + "--- Collate = 3.1470e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.482245e-05 < 6.250000e-03 [38]\n", - "--- Max DT=3.057332e-01 > 1.000000e-01 [71061]\n", + "--- Min DT=2.035717e-05 < 6.250000e-03 [40]\n", + "--- Max DT=3.073553e-01 > 1.000000e-01 [71258]\n", "----------------------------------------------------------------------\n", - " Component | low: 38/100000\n", - " Component | high: 71061/100000\n", + " Component | low: 40/100000\n", + " Component | high: 71258/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=22.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00086576 [ 0.60 %]\n", - "Velocity : 0.00254659 [ 1.77 %]\n", - "Force : 0.0525488 [ 36.58 %]\n", - "Coefs : 0.0221853 [ 15.44 %]\n", - "Output : 0.00137848 [ 0.96 %]\n", - "Levels : 0.000467415 [ 0.33 %]\n", - "Report : 7.03e-07 [ 0.00 %]\n", - "Balance : 3.02e-07 [ 0.00 %]\n", - "Adjust : 0.0636171 [ 44.28 %]\n", - "Total : 0.143662 [100.00 %]\n", + "Drift : 0.00033685 [ 0.78 %]\n", + "Velocity : 0.000779912 [ 1.80 %]\n", + "Force : 0.0160965 [ 37.08 %]\n", + "Coefs : 0.00677102 [ 15.60 %]\n", + "Output : 0.000584621 [ 1.35 %]\n", + "Levels : 0.000153932 [ 0.35 %]\n", + "Report : 3.37e-07 [ 0.00 %]\n", + "Balance : 1.84e-07 [ 0.00 %]\n", + "Adjust : 0.0186666 [ 43.00 %]\n", + "Total : 0.0434086 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6518 487 123 8 6 \n", - "1 : 6494 529 107 7 5 \n", - "2 : 6508 526 99 7 2 \n", - "3 : 6534 511 86 8 3 \n", - "4 : 6495 532 95 17 3 \n", - "5 : 6517 501 110 7 7 \n", - "6 : 6504 514 114 3 7 \n", - "7 : 6489 525 109 13 6 \n", - "8 : 6536 492 97 13 4 \n", - "9 : 6539 488 104 6 5 \n", - "10 : 6520 494 109 11 8 \n", - "11 : 6483 544 106 8 1 \n", - "12 : 6536 488 108 5 5 \n", - "13 : 6518 522 101 11 2 \n", + "0 : 6538 513 77 10 4 \n", + "1 : 6563 489 81 5 4 \n", + "2 : 6514 504 113 5 6 \n", + "3 : 6552 493 89 5 3 \n", + "4 : 6499 528 99 3 13 \n", + "5 : 6531 517 79 10 5 \n", + "6 : 6495 537 94 11 5 \n", + "7 : 6537 501 89 7 8 \n", + "8 : 6554 491 87 8 2 \n", + "9 : 6551 489 88 7 7 \n", + "10 : 6541 506 83 9 3 \n", + "11 : 6509 531 91 5 6 \n", + "12 : 6531 507 95 9 0 \n", + "13 : 6592 465 86 9 2 \n", "\n", - "T : 91191 7153 1468 124 64 [100000]\n", + "T : 91507 7071 1251 103 68 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.7%\n", - "--- Adj/Tot = 0.4%\n", - "--- Update = 1.1066e-02 sec\n", - "--- Collate = 7.6955e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 3.7853e-03 sec\n", + "--- Collate = 2.6515e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.852487e-05 < 6.250000e-03 [36]\n", - "--- Max DT=3.057162e-01 > 1.000000e-01 [71049]\n", + "--- Min DT=1.859257e-04 < 6.250000e-03 [35]\n", + "--- Max DT=3.073854e-01 > 1.000000e-01 [71261]\n", "----------------------------------------------------------------------\n", - " Component | low: 36/100000\n", - " Component | high: 71049/100000\n", + " Component | low: 35/100000\n", + " Component | high: 71261/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=22.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000865316 [ 0.64 %]\n", - "Velocity : 0.00233996 [ 1.73 %]\n", - "Force : 0.0485354 [ 35.89 %]\n", - "Coefs : 0.0190721 [ 14.10 %]\n", - "Output : 0.00132448 [ 0.98 %]\n", - "Levels : 0.000261606 [ 0.19 %]\n", - "Report : 9.06e-07 [ 0.00 %]\n", - "Balance : 3.38e-07 [ 0.00 %]\n", - "Adjust : 0.0627848 [ 46.43 %]\n", - "Total : 0.135234 [100.00 %]\n", + "Drift : 0.000350761 [ 0.79 %]\n", + "Velocity : 0.000808675 [ 1.83 %]\n", + "Force : 0.0162512 [ 36.73 %]\n", + "Coefs : 0.00681489 [ 15.40 %]\n", + "Output : 0.000574465 [ 1.30 %]\n", + "Levels : 0.000118519 [ 0.27 %]\n", + "Report : 1.92e-07 [ 0.00 %]\n", + "Balance : 1.86e-07 [ 0.00 %]\n", + "Adjust : 0.0192938 [ 43.61 %]\n", + "Total : 0.0442425 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6515 492 121 9 5 \n", - "1 : 6494 527 107 8 6 \n", - "2 : 6504 533 96 7 2 \n", - "3 : 6532 515 84 7 4 \n", - "4 : 6492 536 95 16 3 \n", - "5 : 6519 502 106 10 5 \n", - "6 : 6506 512 113 4 7 \n", - "7 : 6487 526 111 13 5 \n", - "8 : 6532 496 99 10 5 \n", - "9 : 6540 488 103 5 6 \n", - "10 : 6517 497 110 9 9 \n", - "11 : 6482 542 108 8 2 \n", - "12 : 6533 493 107 5 4 \n", - "13 : 6518 520 104 10 2 \n", + "0 : 6536 514 77 11 4 \n", + "1 : 6557 495 80 5 5 \n", + "2 : 6514 501 115 6 6 \n", + "3 : 6555 490 89 6 2 \n", + "4 : 6502 522 102 5 11 \n", + "5 : 6531 519 76 13 3 \n", + "6 : 6494 538 94 13 3 \n", + "7 : 6529 505 94 6 8 \n", + "8 : 6554 492 87 7 2 \n", + "9 : 6547 492 87 9 7 \n", + "10 : 6543 501 86 8 4 \n", + "11 : 6507 532 92 5 6 \n", + "12 : 6533 497 103 8 1 \n", + "13 : 6590 465 88 9 2 \n", "\n", - "T : 91171 7179 1464 121 65 [100000]\n", + "T : 91492 7063 1270 111 64 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.3%\n", + "--- Coef/DT = 1.4%\n", "--- Adj/Tot = 0.5%\n", - "--- Update = 1.1319e-02 sec\n", - "--- Collate = 7.1258e-05 sec\n", + "--- Update = 3.7416e-03 sec\n", + "--- Collate = 2.5735e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.361355e-06 < 6.250000e-03 [36]\n", - "--- Max DT=3.056998e-01 > 1.000000e-01 [71042]\n", + "--- Min DT=3.580651e-05 < 6.250000e-03 [34]\n", + "--- Max DT=3.074155e-01 > 1.000000e-01 [71249]\n", "----------------------------------------------------------------------\n", - " Component | low: 36/100000\n", - " Component | high: 71042/100000\n", + " Component | low: 34/100000\n", + " Component | high: 71249/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=22.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000552177 [ 0.41 %]\n", - "Velocity : 0.0018472 [ 1.36 %]\n", - "Force : 0.0486026 [ 35.91 %]\n", - "Coefs : 0.0193956 [ 14.33 %]\n", - "Output : 0.00143847 [ 1.06 %]\n", - "Levels : 0.000233054 [ 0.17 %]\n", - "Report : 6.83e-07 [ 0.00 %]\n", - "Balance : 2.92e-07 [ 0.00 %]\n", - "Adjust : 0.0632432 [ 46.72 %]\n", - "Total : 0.135364 [100.00 %]\n", + "Drift : 0.000337199 [ 0.76 %]\n", + "Velocity : 0.000804955 [ 1.82 %]\n", + "Force : 0.0162272 [ 36.79 %]\n", + "Coefs : 0.00677166 [ 15.35 %]\n", + "Output : 0.000586198 [ 1.33 %]\n", + "Levels : 0.000119419 [ 0.27 %]\n", + "Report : 2.3e-07 [ 0.00 %]\n", + "Balance : 1.63e-07 [ 0.00 %]\n", + "Adjust : 0.0192437 [ 43.63 %]\n", + "Total : 0.0441098 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6511 497 119 9 6 \n", - "1 : 6488 530 112 6 6 \n", - "2 : 6495 542 97 5 3 \n", - "3 : 6530 517 82 10 3 \n", - "4 : 6489 540 94 16 3 \n", - "5 : 6518 499 109 12 4 \n", - "6 : 6507 510 114 5 6 \n", - "7 : 6487 530 107 12 6 \n", - "8 : 6535 493 99 9 6 \n", - "9 : 6544 487 98 7 6 \n", - "10 : 6517 497 109 9 10 \n", - "11 : 6479 545 107 8 3 \n", - "12 : 6527 495 110 5 5 \n", - "13 : 6510 527 104 11 2 \n", + "0 : 6533 518 75 13 3 \n", + "1 : 6553 499 79 7 4 \n", + "2 : 6514 500 116 8 4 \n", + "3 : 6553 493 87 8 1 \n", + "4 : 6505 521 100 5 11 \n", + "5 : 6533 517 78 11 3 \n", + "6 : 6494 538 97 11 2 \n", + "7 : 6524 509 95 6 8 \n", + "8 : 6550 496 86 6 4 \n", + "9 : 6547 492 87 9 7 \n", + "10 : 6541 502 86 10 3 \n", + "11 : 6504 535 93 5 5 \n", + "12 : 6532 498 102 8 2 \n", + "13 : 6590 468 84 8 4 \n", "\n", - "T : 91137 7209 1461 124 69 [100000]\n", + "T : 91473 7086 1265 115 61 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.3%\n", - "--- Adj/Tot = 0.4%\n", - "--- Update = 1.2355e-02 sec\n", - "--- Collate = 7.2238e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 3.7846e-03 sec\n", + "--- Collate = 3.0268e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.013273e-05 < 6.250000e-03 [34]\n", - "--- Max DT=3.056805e-01 > 1.000000e-01 [71030]\n", + "--- Min DT=1.281757e-05 < 6.250000e-03 [33]\n", + "--- Max DT=3.074447e-01 > 1.000000e-01 [71245]\n", "----------------------------------------------------------------------\n", - " Component | low: 34/100000\n", - " Component | high: 71030/100000\n", + " Component | low: 33/100000\n", + " Component | high: 71245/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=22.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000912939 [ 0.64 %]\n", - "Velocity : 0.00231555 [ 1.63 %]\n", - "Force : 0.0501467 [ 35.21 %]\n", - "Coefs : 0.0204105 [ 14.33 %]\n", - "Output : 0.00143867 [ 1.01 %]\n", - "Levels : 0.000289822 [ 0.20 %]\n", - "Report : 1.181e-06 [ 0.00 %]\n", - "Balance : 3.83e-07 [ 0.00 %]\n", - "Adjust : 0.0668695 [ 46.95 %]\n", - "Total : 0.142437 [100.00 %]\n", + "Drift : 0.000335789 [ 0.76 %]\n", + "Velocity : 0.000778645 [ 1.76 %]\n", + "Force : 0.0163196 [ 36.84 %]\n", + "Coefs : 0.00680149 [ 15.35 %]\n", + "Output : 0.000592543 [ 1.34 %]\n", + "Levels : 0.000117073 [ 0.26 %]\n", + "Report : 2.34e-07 [ 0.00 %]\n", + "Balance : 1.63e-07 [ 0.00 %]\n", + "Adjust : 0.0193346 [ 43.64 %]\n", + "Total : 0.0443018 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6511 497 121 6 7 \n", - "1 : 6492 527 110 7 6 \n", - "2 : 6492 541 102 4 3 \n", - "3 : 6526 516 85 11 4 \n", - "4 : 6487 543 96 13 3 \n", - "5 : 6524 494 106 16 2 \n", - "6 : 6506 513 112 5 6 \n", - "7 : 6480 535 110 11 6 \n", - "8 : 6529 500 97 9 7 \n", - "9 : 6538 491 100 8 5 \n", - "10 : 6519 491 112 11 9 \n", - "11 : 6473 551 105 10 3 \n", - "12 : 6526 495 110 7 4 \n", - "13 : 6507 531 103 11 2 \n", + "0 : 6530 523 73 13 3 \n", + "1 : 6554 496 80 7 5 \n", + "2 : 6514 502 113 9 4 \n", + "3 : 6554 492 87 7 2 \n", + "4 : 6504 521 102 4 11 \n", + "5 : 6530 520 79 10 3 \n", + "6 : 6495 538 96 11 2 \n", + "7 : 6518 513 95 8 8 \n", + "8 : 6547 499 86 6 4 \n", + "9 : 6545 494 88 8 7 \n", + "10 : 6538 503 90 8 3 \n", + "11 : 6504 535 93 5 5 \n", + "12 : 6530 496 106 7 3 \n", + "13 : 6587 470 85 8 4 \n", "\n", - "T : 91110 7225 1469 129 67 [100000]\n", + "T : 91450 7102 1273 111 64 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.3%\n", - "--- Adj/Tot = 0.4%\n", - "--- Update = 1.1862e-02 sec\n", - "--- Collate = 7.0540e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 3.7070e-03 sec\n", + "--- Collate = 2.6022e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.292789e-04 < 6.250000e-03 [36]\n", - "--- Max DT=3.056609e-01 > 1.000000e-01 [70993]\n", + "--- Min DT=2.275730e-04 < 6.250000e-03 [35]\n", + "--- Max DT=3.074743e-01 > 1.000000e-01 [71241]\n", "----------------------------------------------------------------------\n", - " Component | low: 36/100000\n", - " Component | high: 70993/100000\n", + " Component | low: 35/100000\n", + " Component | high: 71241/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=22.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000910688 [ 0.61 %]\n", - "Velocity : 0.00280503 [ 1.87 %]\n", - "Force : 0.0534047 [ 35.52 %]\n", - "Coefs : 0.0223364 [ 14.86 %]\n", - "Output : 0.00148001 [ 0.98 %]\n", - "Levels : 0.000501683 [ 0.33 %]\n", - "Report : 9.05e-07 [ 0.00 %]\n", - "Balance : 3.71e-07 [ 0.00 %]\n", - "Adjust : 0.0688505 [ 45.80 %]\n", - "Total : 0.150342 [100.00 %]\n", + "Drift : 0.000358411 [ 0.81 %]\n", + "Velocity : 0.000792893 [ 1.79 %]\n", + "Force : 0.0163472 [ 36.92 %]\n", + "Coefs : 0.00678481 [ 15.32 %]\n", + "Output : 0.000565693 [ 1.28 %]\n", + "Levels : 0.000126523 [ 0.29 %]\n", + "Report : 3.79e-07 [ 0.00 %]\n", + "Balance : 1.6e-07 [ 0.00 %]\n", + "Adjust : 0.0192822 [ 43.55 %]\n", + "Total : 0.0442784 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6506 505 119 5 7 \n", - "1 : 6492 526 110 6 8 \n", - "2 : 6495 534 104 6 3 \n", - "3 : 6523 517 86 12 4 \n", - "4 : 6486 543 98 12 3 \n", - "5 : 6521 500 103 15 3 \n", - "6 : 6505 515 111 5 6 \n", - "7 : 6480 536 106 12 8 \n", - "8 : 6526 499 101 10 6 \n", - "9 : 6539 489 100 9 5 \n", - "10 : 6518 491 112 11 10 \n", - "11 : 6471 551 106 11 3 \n", - "12 : 6526 495 110 9 2 \n", - "13 : 6510 531 98 13 2 \n", + "0 : 6522 528 78 10 4 \n", + "1 : 6554 497 78 7 6 \n", + "2 : 6514 502 112 10 4 \n", + "3 : 6556 490 88 6 2 \n", + "4 : 6504 521 102 6 9 \n", + "5 : 6528 523 79 8 4 \n", + "6 : 6496 537 95 11 3 \n", + "7 : 6517 512 97 9 7 \n", + "8 : 6545 500 87 8 2 \n", + "9 : 6543 495 89 7 8 \n", + "10 : 6534 507 89 9 3 \n", + "11 : 6503 534 95 6 4 \n", + "12 : 6522 504 106 6 4 \n", + "13 : 6583 473 85 10 3 \n", "\n", - "T : 91098 7232 1464 136 70 [100000]\n", + "T : 91421 7123 1280 113 63 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.4%\n", - "--- Adj/Tot = 0.4%\n", - "--- Update = 1.2065e-02 sec\n", - "--- Collate = 1.6574e-04 sec\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 3.7487e-03 sec\n", + "--- Collate = 2.6876e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.425551e-04 < 6.250000e-03 [39]\n", - "--- Max DT=3.056425e-01 > 1.000000e-01 [70980]\n", + "--- Min DT=1.056617e-04 < 6.250000e-03 [33]\n", + "--- Max DT=3.075032e-01 > 1.000000e-01 [71213]\n", "----------------------------------------------------------------------\n", - " Component | low: 39/100000\n", - " Component | high: 70980/100000\n", + " Component | low: 33/100000\n", + " Component | high: 71213/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=23] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000851876 [ 0.56 %]\n", - "Velocity : 0.00247873 [ 1.63 %]\n", - "Force : 0.0529162 [ 34.87 %]\n", - "Coefs : 0.0207495 [ 13.67 %]\n", - "Output : 0.00814789 [ 5.37 %]\n", - "Levels : 0.000264118 [ 0.17 %]\n", - "Report : 1.33e-06 [ 0.00 %]\n", - "Balance : 8.28e-07 [ 0.00 %]\n", - "Adjust : 0.0662804 [ 43.68 %]\n", - "Total : 0.151745 [100.00 %]\n", + "Drift : 0.000336558 [ 0.72 %]\n", + "Velocity : 0.000818538 [ 1.76 %]\n", + "Force : 0.0163112 [ 34.99 %]\n", + "Coefs : 0.00678039 [ 14.54 %]\n", + "Output : 0.00287254 [ 6.16 %]\n", + "Levels : 0.000120248 [ 0.26 %]\n", + "Report : 3.38e-07 [ 0.00 %]\n", + "Balance : 2.66e-07 [ 0.00 %]\n", + "Adjust : 0.019362 [ 41.53 %]\n", + "Total : 0.0466226 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6506 502 123 5 6 \n", - "1 : 6493 525 110 5 9 \n", - "2 : 6492 533 108 6 3 \n", - "3 : 6520 519 89 9 5 \n", - "4 : 6485 541 101 11 4 \n", - "5 : 6525 495 105 13 4 \n", - "6 : 6506 511 113 5 7 \n", - "7 : 6483 534 104 14 7 \n", - "8 : 6525 498 103 11 5 \n", - "9 : 6535 494 98 10 5 \n", - "10 : 6520 489 112 9 12 \n", - "11 : 6466 558 104 12 2 \n", - "12 : 6520 503 107 8 4 \n", - "13 : 6508 532 100 12 2 \n", + "0 : 6522 526 80 9 5 \n", + "1 : 6553 498 79 7 5 \n", + "2 : 6511 504 114 10 3 \n", + "3 : 6557 487 90 6 2 \n", + "4 : 6502 521 104 6 9 \n", + "5 : 6522 530 78 8 4 \n", + "6 : 6496 538 94 10 4 \n", + "7 : 6515 514 99 7 7 \n", + "8 : 6541 503 88 7 3 \n", + "9 : 6541 498 89 6 8 \n", + "10 : 6536 505 87 8 6 \n", + "11 : 6505 533 94 7 3 \n", + "12 : 6521 507 103 6 5 \n", + "13 : 6581 476 84 9 4 \n", "\n", - "T : 91084 7234 1477 130 75 [100000]\n", + "T : 91403 7140 1283 106 68 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.4%\n", - "--- Adj/Tot = 0.4%\n", - "--- Update = 1.0881e-02 sec\n", - "--- Collate = 5.5951e-05 sec\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 3.7294e-03 sec\n", + "--- Collate = 2.8153e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.431755e-05 < 6.250000e-03 [36]\n", - "--- Max DT=3.056222e-01 > 1.000000e-01 [70960]\n", + "--- Min DT=1.147064e-06 < 6.250000e-03 [29]\n", + "--- Max DT=3.075330e-01 > 1.000000e-01 [71197]\n", "----------------------------------------------------------------------\n", - " Component | low: 36/100000\n", - " Component | high: 70960/100000\n", + " Component | low: 29/100000\n", + " Component | high: 71197/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=23.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00106072 [ 0.79 %]\n", - "Velocity : 0.00233685 [ 1.73 %]\n", - "Force : 0.047554 [ 35.28 %]\n", - "Coefs : 0.0202613 [ 15.03 %]\n", - "Output : 0.00143223 [ 1.06 %]\n", - "Levels : 0.00023169 [ 0.17 %]\n", - "Report : 7.2e-07 [ 0.00 %]\n", - "Balance : 3.64e-07 [ 0.00 %]\n", - "Adjust : 0.0618753 [ 45.90 %]\n", - "Total : 0.134806 [100.00 %]\n", + "Drift : 0.000322758 [ 0.73 %]\n", + "Velocity : 0.000792042 [ 1.80 %]\n", + "Force : 0.0161809 [ 36.69 %]\n", + "Coefs : 0.00686238 [ 15.56 %]\n", + "Output : 0.00059144 [ 1.34 %]\n", + "Levels : 0.000123504 [ 0.28 %]\n", + "Report : 2.3e-07 [ 0.00 %]\n", + "Balance : 1.9e-07 [ 0.00 %]\n", + "Adjust : 0.0192106 [ 43.56 %]\n", + "Total : 0.0441028 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6506 505 119 7 5 \n", - "1 : 6496 522 112 4 8 \n", - "2 : 6489 537 107 6 3 \n", - "3 : 6523 517 88 9 5 \n", - "4 : 6484 540 103 10 5 \n", - "5 : 6521 498 106 13 4 \n", - "6 : 6507 509 110 9 7 \n", - "7 : 6481 538 101 14 8 \n", - "8 : 6522 502 102 12 4 \n", - "9 : 6534 492 101 9 6 \n", - "10 : 6519 494 105 15 9 \n", - "11 : 6456 567 106 11 2 \n", - "12 : 6524 501 104 9 4 \n", - "13 : 6507 533 99 13 2 \n", + "0 : 6521 525 82 6 8 \n", + "1 : 6553 497 79 8 5 \n", + "2 : 6510 505 113 10 4 \n", + "3 : 6556 486 92 6 2 \n", + "4 : 6502 520 105 10 5 \n", + "5 : 6524 528 77 6 7 \n", + "6 : 6497 533 98 9 5 \n", + "7 : 6520 508 99 9 6 \n", + "8 : 6539 503 89 7 4 \n", + "9 : 6540 502 86 5 9 \n", + "10 : 6537 505 85 9 6 \n", + "11 : 6503 534 97 5 3 \n", + "12 : 6512 517 104 4 5 \n", + "13 : 6584 473 83 10 4 \n", "\n", - "T : 91069 7255 1463 141 72 [100000]\n", + "T : 91398 7136 1289 104 73 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.3%\n", - "--- Adj/Tot = 0.5%\n", - "--- Update = 1.0550e-02 sec\n", - "--- Collate = 6.7680e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 3.6908e-03 sec\n", + "--- Collate = 2.6890e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.617404e-04 < 6.250000e-03 [33]\n", - "--- Max DT=3.056000e-01 > 1.000000e-01 [70950]\n", + "--- Min DT=9.560656e-05 < 6.250000e-03 [29]\n", + "--- Max DT=3.075633e-01 > 1.000000e-01 [71198]\n", "----------------------------------------------------------------------\n", - " Component | low: 33/100000\n", - " Component | high: 70950/100000\n", + " Component | low: 29/100000\n", + " Component | high: 71198/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=23.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000877184 [ 0.66 %]\n", - "Velocity : 0.0022416 [ 1.68 %]\n", - "Force : 0.0491957 [ 36.77 %]\n", - "Coefs : 0.0194906 [ 14.57 %]\n", - "Output : 0.00141021 [ 1.05 %]\n", - "Levels : 0.00023652 [ 0.18 %]\n", - "Report : 9.39e-07 [ 0.00 %]\n", - "Balance : 2.87e-07 [ 0.00 %]\n", - "Adjust : 0.0602922 [ 45.06 %]\n", - "Total : 0.133792 [100.00 %]\n", + "Drift : 0.000336511 [ 0.78 %]\n", + "Velocity : 0.000787906 [ 1.82 %]\n", + "Force : 0.0160057 [ 36.96 %]\n", + "Coefs : 0.00678403 [ 15.66 %]\n", + "Output : 0.000579418 [ 1.34 %]\n", + "Levels : 0.000116218 [ 0.27 %]\n", + "Report : 3.16e-07 [ 0.00 %]\n", + "Balance : 1.64e-07 [ 0.00 %]\n", + "Adjust : 0.0186809 [ 43.13 %]\n", + "Total : 0.0433107 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6512 501 117 8 4 \n", - "1 : 6495 522 113 6 6 \n", - "2 : 6483 538 112 7 2 \n", - "3 : 6525 517 86 9 5 \n", - "4 : 6484 533 111 9 5 \n", - "5 : 6517 503 104 15 3 \n", - "6 : 6507 509 110 13 3 \n", - "7 : 6475 544 103 11 9 \n", - "8 : 6517 508 100 14 3 \n", - "9 : 6532 497 97 11 5 \n", - "10 : 6520 492 107 15 8 \n", - "11 : 6448 576 105 11 2 \n", - "12 : 6518 509 104 6 5 \n", - "13 : 6503 538 98 13 2 \n", + "0 : 6524 522 82 8 6 \n", + "1 : 6553 497 78 10 4 \n", + "2 : 6514 496 117 8 7 \n", + "3 : 6559 480 96 5 2 \n", + "4 : 6500 521 104 11 6 \n", + "5 : 6528 524 76 7 7 \n", + "6 : 6498 530 99 11 4 \n", + "7 : 6520 508 101 7 6 \n", + "8 : 6538 505 88 6 5 \n", + "9 : 6537 502 89 6 8 \n", + "10 : 6534 507 85 9 7 \n", + "11 : 6504 534 94 7 3 \n", + "12 : 6517 509 107 5 4 \n", + "13 : 6584 469 87 10 4 \n", "\n", - "T : 91036 7287 1467 148 62 [100000]\n", + "T : 91410 7104 1303 110 73 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.4%\n", - "--- Adj/Tot = 0.4%\n", - "--- Update = 1.2010e-02 sec\n", - "--- Collate = 7.6578e-05 sec\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 3.5176e-03 sec\n", + "--- Collate = 2.4865e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.101631e-04 < 6.250000e-03 [32]\n", - "--- Max DT=3.055788e-01 > 1.000000e-01 [70942]\n", + "--- Min DT=5.379772e-05 < 6.250000e-03 [40]\n", + "--- Max DT=3.075933e-01 > 1.000000e-01 [71166]\n", "----------------------------------------------------------------------\n", - " Component | low: 32/100000\n", - " Component | high: 70942/100000\n", + " Component | low: 40/100000\n", + " Component | high: 71166/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=23.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000997464 [ 0.69 %]\n", - "Velocity : 0.00279441 [ 1.93 %]\n", - "Force : 0.0526062 [ 36.39 %]\n", - "Coefs : 0.0200567 [ 13.87 %]\n", - "Output : 0.00135538 [ 0.94 %]\n", - "Levels : 0.000287966 [ 0.20 %]\n", - "Report : 8.81e-07 [ 0.00 %]\n", - "Balance : 3.5e-07 [ 0.00 %]\n", - "Adjust : 0.0664114 [ 45.94 %]\n", - "Total : 0.144564 [100.00 %]\n", + "Drift : 0.000326941 [ 0.76 %]\n", + "Velocity : 0.00079219 [ 1.85 %]\n", + "Force : 0.015962 [ 37.18 %]\n", + "Coefs : 0.00674106 [ 15.70 %]\n", + "Output : 0.000559998 [ 1.30 %]\n", + "Levels : 0.000112183 [ 0.26 %]\n", + "Report : 1.78e-07 [ 0.00 %]\n", + "Balance : 1.63e-07 [ 0.00 %]\n", + "Adjust : 0.0184223 [ 42.91 %]\n", + "Total : 0.0429368 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6515 497 116 11 3 \n", - "1 : 6495 520 114 8 5 \n", - "2 : 6477 548 108 6 3 \n", - "3 : 6524 514 88 8 8 \n", - "4 : 6479 537 113 8 5 \n", - "5 : 6513 508 103 13 5 \n", - "6 : 6504 513 109 13 3 \n", - "7 : 6475 547 100 12 8 \n", - "8 : 6515 506 105 12 4 \n", - "9 : 6530 497 101 9 5 \n", - "10 : 6519 492 110 12 9 \n", - "11 : 6443 581 104 12 2 \n", - "12 : 6521 504 105 7 5 \n", - "13 : 6505 536 99 13 1 \n", + "0 : 6523 522 84 8 5 \n", + "1 : 6554 497 77 9 5 \n", + "2 : 6513 496 120 6 7 \n", + "3 : 6564 472 98 7 1 \n", + "4 : 6504 515 107 11 5 \n", + "5 : 6530 521 77 8 6 \n", + "6 : 6498 529 100 13 2 \n", + "7 : 6518 511 100 8 5 \n", + "8 : 6543 498 90 6 5 \n", + "9 : 6540 496 91 6 9 \n", + "10 : 6529 516 82 7 8 \n", + "11 : 6502 535 93 9 3 \n", + "12 : 6517 509 108 5 3 \n", + "13 : 6583 468 90 9 4 \n", "\n", - "T : 91015 7300 1475 144 66 [100000]\n", + "T : 91418 7085 1317 112 68 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.4%\n", - "--- Adj/Tot = 0.5%\n", - "--- Update = 1.2084e-02 sec\n", - "--- Collate = 7.6757e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 3.6662e-03 sec\n", + "--- Collate = 2.5047e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.864815e-06 < 6.250000e-03 [34]\n", - "--- Max DT=3.055554e-01 > 1.000000e-01 [70919]\n", + "--- Min DT=7.717680e-05 < 6.250000e-03 [43]\n", + "--- Max DT=3.076229e-01 > 1.000000e-01 [71158]\n", "----------------------------------------------------------------------\n", - " Component | low: 34/100000\n", - " Component | high: 70919/100000\n", + " Component | low: 43/100000\n", + " Component | high: 71158/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=23.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00109789 [ 0.74 %]\n", - "Velocity : 0.00225312 [ 1.51 %]\n", - "Force : 0.0536015 [ 35.93 %]\n", - "Coefs : 0.022572 [ 15.13 %]\n", - "Output : 0.00145446 [ 0.97 %]\n", - "Levels : 0.00032319 [ 0.22 %]\n", - "Report : 1.218e-06 [ 0.00 %]\n", - "Balance : 4.66e-07 [ 0.00 %]\n", - "Adjust : 0.0678214 [ 45.46 %]\n", - "Total : 0.149177 [100.00 %]\n", + "Drift : 0.000326855 [ 0.76 %]\n", + "Velocity : 0.000793551 [ 1.83 %]\n", + "Force : 0.0160684 [ 37.14 %]\n", + "Coefs : 0.00664473 [ 15.36 %]\n", + "Output : 0.00056874 [ 1.31 %]\n", + "Levels : 0.000141954 [ 0.33 %]\n", + "Report : 2.21e-07 [ 0.00 %]\n", + "Balance : 1.63e-07 [ 0.00 %]\n", + "Adjust : 0.0186964 [ 43.22 %]\n", + "Total : 0.0432602 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6517 494 117 10 4 \n", - "1 : 6492 523 115 8 4 \n", - "2 : 6476 548 110 4 4 \n", - "3 : 6523 515 86 12 6 \n", - "4 : 6481 535 112 10 4 \n", - "5 : 6513 507 105 12 5 \n", - "6 : 6497 518 111 12 4 \n", - "7 : 6476 545 101 13 7 \n", - "8 : 6513 511 103 10 5 \n", - "9 : 6528 495 105 7 7 \n", - "10 : 6520 490 111 12 9 \n", - "11 : 6436 589 104 12 1 \n", - "12 : 6517 508 104 10 3 \n", - "13 : 6501 537 104 10 2 \n", + "0 : 6526 515 88 7 6 \n", + "1 : 6552 501 76 8 5 \n", + "2 : 6513 493 123 7 6 \n", + "3 : 6563 473 98 7 1 \n", + "4 : 6500 516 109 11 6 \n", + "5 : 6532 518 76 9 7 \n", + "6 : 6502 525 100 12 3 \n", + "7 : 6519 510 100 8 5 \n", + "8 : 6540 499 91 7 5 \n", + "9 : 6540 497 91 6 8 \n", + "10 : 6527 518 82 7 8 \n", + "11 : 6502 535 91 12 2 \n", + "12 : 6520 505 109 5 3 \n", + "13 : 6579 469 93 8 5 \n", "\n", - "T : 90990 7315 1488 142 65 [100000]\n", + "T : 91415 7074 1327 114 70 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.8%\n", - "--- Adj/Tot = 0.5%\n", - "--- Update = 1.0358e-02 sec\n", - "--- Collate = 6.5966e-05 sec\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 3.6810e-03 sec\n", + "--- Collate = 2.5637e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.916160e-04 < 6.250000e-03 [31]\n", - "--- Max DT=3.055312e-01 > 1.000000e-01 [70902]\n", + "--- Min DT=2.172256e-06 < 6.250000e-03 [46]\n", + "--- Max DT=3.076529e-01 > 1.000000e-01 [71144]\n", "----------------------------------------------------------------------\n", - " Component | low: 31/100000\n", - " Component | high: 70902/100000\n", + " Component | low: 46/100000\n", + " Component | high: 71144/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=23.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000933092 [ 0.67 %]\n", - "Velocity : 0.00287442 [ 2.06 %]\n", - "Force : 0.0513013 [ 36.85 %]\n", - "Coefs : 0.0206311 [ 14.82 %]\n", - "Output : 0.00147211 [ 1.06 %]\n", - "Levels : 0.000231035 [ 0.17 %]\n", - "Report : 9.02e-07 [ 0.00 %]\n", - "Balance : 3.44e-07 [ 0.00 %]\n", - "Adjust : 0.0617425 [ 44.34 %]\n", - "Total : 0.139235 [100.00 %]\n", + "Drift : 0.000325675 [ 0.75 %]\n", + "Velocity : 0.000766624 [ 1.76 %]\n", + "Force : 0.0160839 [ 37.02 %]\n", + "Coefs : 0.00676452 [ 15.57 %]\n", + "Output : 0.000580182 [ 1.34 %]\n", + "Levels : 0.000114067 [ 0.26 %]\n", + "Report : 3.27e-07 [ 0.00 %]\n", + "Balance : 1.75e-07 [ 0.00 %]\n", + "Adjust : 0.0187858 [ 43.24 %]\n", + "Total : 0.0434409 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6513 497 116 12 4 \n", - "1 : 6492 524 114 9 3 \n", - "2 : 6477 547 111 4 3 \n", - "3 : 6518 520 86 12 6 \n", - "4 : 6484 532 112 8 6 \n", - "5 : 6514 508 104 12 4 \n", - "6 : 6493 525 109 12 3 \n", - "7 : 6472 548 101 14 7 \n", - "8 : 6513 512 100 11 6 \n", - "9 : 6529 497 103 8 5 \n", - "10 : 6517 493 114 9 9 \n", - "11 : 6442 583 106 8 3 \n", - "12 : 6513 511 105 10 3 \n", - "13 : 6499 536 106 11 2 \n", + "0 : 6526 514 91 4 7 \n", + "1 : 6544 509 75 10 4 \n", + "2 : 6510 496 123 7 6 \n", + "3 : 6561 472 102 5 2 \n", + "4 : 6502 513 110 9 8 \n", + "5 : 6531 521 74 8 8 \n", + "6 : 6503 522 103 9 5 \n", + "7 : 6520 510 98 8 6 \n", + "8 : 6543 495 92 7 5 \n", + "9 : 6546 491 91 6 8 \n", + "10 : 6526 518 83 6 9 \n", + "11 : 6501 535 93 11 2 \n", + "12 : 6518 508 104 10 2 \n", + "13 : 6577 472 91 9 5 \n", "\n", - "T : 90976 7333 1487 140 64 [100000]\n", + "T : 91408 7076 1330 109 77 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.9%\n", - "--- Adj/Tot = 0.4%\n", - "--- Update = 1.1577e-02 sec\n", - "--- Collate = 6.3134e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 3.6686e-03 sec\n", + "--- Collate = 2.4687e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.098238e-04 < 6.250000e-03 [23]\n", - "--- Max DT=3.055052e-01 > 1.000000e-01 [70872]\n", + "--- Min DT=6.990093e-06 < 6.250000e-03 [50]\n", + "--- Max DT=3.076825e-01 > 1.000000e-01 [71125]\n", "----------------------------------------------------------------------\n", - " Component | low: 23/100000\n", - " Component | high: 70872/100000\n", + " Component | low: 50/100000\n", + " Component | high: 71125/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=23.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000922929 [ 0.68 %]\n", - "Velocity : 0.00281139 [ 2.06 %]\n", - "Force : 0.0489985 [ 35.92 %]\n", - "Coefs : 0.0182987 [ 13.41 %]\n", - "Output : 0.00147574 [ 1.08 %]\n", - "Levels : 0.000244198 [ 0.18 %]\n", - "Report : 6.54e-07 [ 0.00 %]\n", - "Balance : 3.18e-07 [ 0.00 %]\n", - "Adjust : 0.0636024 [ 46.63 %]\n", - "Total : 0.136408 [100.00 %]\n", + "Drift : 0.00032943 [ 0.76 %]\n", + "Velocity : 0.000789024 [ 1.82 %]\n", + "Force : 0.0159643 [ 36.91 %]\n", + "Coefs : 0.00677546 [ 15.67 %]\n", + "Output : 0.000570232 [ 1.32 %]\n", + "Levels : 0.000115612 [ 0.27 %]\n", + "Report : 2.24e-07 [ 0.00 %]\n", + "Balance : 1.63e-07 [ 0.00 %]\n", + "Adjust : 0.0186832 [ 43.20 %]\n", + "Total : 0.0432476 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6518 491 118 10 5 \n", - "1 : 6491 524 114 8 5 \n", - "2 : 6468 556 110 6 2 \n", - "3 : 6513 523 87 13 6 \n", - "4 : 6482 530 115 9 6 \n", - "5 : 6510 511 105 12 4 \n", - "6 : 6489 530 110 8 5 \n", - "7 : 6472 549 100 14 7 \n", - "8 : 6510 517 98 12 5 \n", - "9 : 6529 497 104 8 4 \n", - "10 : 6511 500 113 10 8 \n", - "11 : 6438 589 104 7 4 \n", - "12 : 6514 512 104 10 2 \n", - "13 : 6498 538 104 12 2 \n", + "0 : 6527 513 91 5 6 \n", + "1 : 6548 504 76 9 5 \n", + "2 : 6512 493 124 7 6 \n", + "3 : 6557 475 103 5 2 \n", + "4 : 6498 517 110 8 9 \n", + "5 : 6529 526 71 9 7 \n", + "6 : 6506 519 103 9 5 \n", + "7 : 6512 517 98 9 6 \n", + "8 : 6538 499 93 7 5 \n", + "9 : 6542 495 91 7 7 \n", + "10 : 6523 515 89 6 9 \n", + "11 : 6499 535 95 11 2 \n", + "12 : 6519 506 106 9 2 \n", + "13 : 6573 473 95 8 5 \n", "\n", - "T : 90943 7367 1486 139 65 [100000]\n", + "T : 91383 7087 1345 109 76 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 1.7%\n", - "--- Adj/Tot = 0.5%\n", - "--- Update = 1.0593e-02 sec\n", - "--- Collate = 8.4441e-05 sec\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 3.6937e-03 sec\n", + "--- Collate = 2.5784e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.250595e-05 < 6.250000e-03 [30]\n", - "--- Max DT=3.054802e-01 > 1.000000e-01 [70836]\n", + "--- Min DT=5.103985e-06 < 6.250000e-03 [49]\n", + "--- Max DT=3.077297e-01 > 1.000000e-01 [71120]\n", "----------------------------------------------------------------------\n", - " Component | low: 30/100000\n", - " Component | high: 70836/100000\n", + " Component | low: 49/100000\n", + " Component | high: 71120/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=23.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000888541 [ 0.50 %]\n", - "Velocity : 0.00285364 [ 1.60 %]\n", - "Force : 0.0621183 [ 34.86 %]\n", - "Coefs : 0.0194226 [ 10.90 %]\n", - "Output : 0.00140436 [ 0.79 %]\n", - "Levels : 0.000302213 [ 0.17 %]\n", - "Report : 7.22e-07 [ 0.00 %]\n", - "Balance : 3.44e-07 [ 0.00 %]\n", - "Adjust : 0.0911339 [ 51.15 %]\n", - "Total : 0.178179 [100.00 %]\n", + "Drift : 0.000332073 [ 0.77 %]\n", + "Velocity : 0.000776252 [ 1.80 %]\n", + "Force : 0.0159701 [ 37.04 %]\n", + "Coefs : 0.00676653 [ 15.69 %]\n", + "Output : 0.00057218 [ 1.33 %]\n", + "Levels : 0.000113344 [ 0.26 %]\n", + "Report : 1.79e-07 [ 0.00 %]\n", + "Balance : 1.62e-07 [ 0.00 %]\n", + "Adjust : 0.0185698 [ 43.07 %]\n", + "Total : 0.0431202 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6518 491 119 9 5 \n", - "1 : 6493 520 116 6 7 \n", - "2 : 6464 557 112 7 2 \n", - "3 : 6512 524 87 14 5 \n", - "4 : 6479 534 115 8 6 \n", - "5 : 6509 507 108 15 3 \n", - "6 : 6484 533 112 7 6 \n", - "7 : 6469 552 100 15 6 \n", - "8 : 6512 512 101 12 5 \n", - "9 : 6530 493 107 8 4 \n", - "10 : 6506 506 111 10 9 \n", - "11 : 6442 586 102 8 4 \n", - "12 : 6512 516 99 12 3 \n", - "13 : 6494 542 104 10 4 \n", + "0 : 6526 510 94 5 7 \n", + "1 : 6544 508 76 9 5 \n", + "2 : 6510 496 123 6 7 \n", + "3 : 6558 473 104 5 2 \n", + "4 : 6500 514 113 5 10 \n", + "5 : 6532 519 78 6 7 \n", + "6 : 6504 520 103 10 5 \n", + "7 : 6512 512 103 9 6 \n", + "8 : 6535 503 93 6 5 \n", + "9 : 6536 502 90 7 7 \n", + "10 : 6520 518 90 6 8 \n", + "11 : 6498 535 98 9 2 \n", + "12 : 6514 509 109 8 2 \n", + "13 : 6576 471 93 8 6 \n", "\n", - "T : 90924 7373 1493 141 69 [100000]\n", + "T : 91365 7090 1367 99 79 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.3%\n", - "--- Adj/Tot = 0.5%\n", - "--- Update = 1.1860e-02 sec\n", - "--- Collate = 6.6228e-05 sec\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 3.6194e-03 sec\n", + "--- Collate = 2.5744e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.861821e-05 < 6.250000e-03 [28]\n", - "--- Max DT=3.054526e-01 > 1.000000e-01 [70818]\n", + "--- Min DT=2.479618e-05 < 6.250000e-03 [49]\n", + "--- Max DT=3.078120e-01 > 1.000000e-01 [71120]\n", "----------------------------------------------------------------------\n", - " Component | low: 28/100000\n", - " Component | high: 70818/100000\n", + " Component | low: 49/100000\n", + " Component | high: 71120/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=23.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000971402 [ 0.56 %]\n", - "Velocity : 0.00311097 [ 1.78 %]\n", - "Force : 0.0608009 [ 34.85 %]\n", - "Coefs : 0.0199803 [ 11.45 %]\n", - "Output : 0.00162622 [ 0.93 %]\n", - "Levels : 0.000281141 [ 0.16 %]\n", - "Report : 9.84e-07 [ 0.00 %]\n", - "Balance : 3.16e-07 [ 0.00 %]\n", - "Adjust : 0.0876599 [ 50.24 %]\n", - "Total : 0.174485 [100.00 %]\n", + "Drift : 0.000330668 [ 0.76 %]\n", + "Velocity : 0.00079483 [ 1.82 %]\n", + "Force : 0.0161976 [ 37.16 %]\n", + "Coefs : 0.00679016 [ 15.58 %]\n", + "Output : 0.00057846 [ 1.33 %]\n", + "Levels : 0.000127199 [ 0.29 %]\n", + "Report : 1.88e-07 [ 0.00 %]\n", + "Balance : 1.73e-07 [ 0.00 %]\n", + "Adjust : 0.0187486 [ 43.01 %]\n", + "Total : 0.0435874 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6517 492 118 11 4 \n", - "1 : 6495 521 112 8 6 \n", - "2 : 6465 552 115 8 2 \n", - "3 : 6507 529 88 11 7 \n", - "4 : 6472 541 116 9 4 \n", - "5 : 6511 502 110 14 5 \n", - "6 : 6484 532 114 6 6 \n", - "7 : 6469 550 101 17 5 \n", - "8 : 6512 513 103 9 5 \n", - "9 : 6527 492 110 9 4 \n", - "10 : 6505 508 110 14 5 \n", - "11 : 6443 583 105 7 4 \n", - "12 : 6507 519 101 11 4 \n", - "13 : 6497 540 103 10 4 \n", + "0 : 6523 511 97 3 8 \n", + "1 : 6549 502 79 8 4 \n", + "2 : 6507 503 120 5 7 \n", + "3 : 6555 475 104 5 3 \n", + "4 : 6500 513 114 4 11 \n", + "5 : 6534 514 82 7 5 \n", + "6 : 6502 524 102 9 5 \n", + "7 : 6512 512 102 11 5 \n", + "8 : 6533 507 90 6 6 \n", + "9 : 6529 511 85 12 5 \n", + "10 : 6522 517 90 7 6 \n", + "11 : 6494 536 101 7 4 \n", + "12 : 6516 507 108 10 1 \n", + "13 : 6572 473 95 8 6 \n", "\n", - "T : 90911 7374 1506 144 65 [100000]\n", + "T : 91348 7105 1369 102 76 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.0%\n", - "--- Adj/Tot = 0.5%\n", - "--- Update = 1.7473e-02 sec\n", - "--- Collate = 7.3983e-05 sec\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 3.7350e-03 sec\n", + "--- Collate = 2.8702e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.950093e-05 < 6.250000e-03 [34]\n", - "--- Max DT=3.054250e-01 > 1.000000e-01 [70805]\n", + "--- Min DT=2.604643e-05 < 6.250000e-03 [44]\n", + "--- Max DT=3.078942e-01 > 1.000000e-01 [71082]\n", "----------------------------------------------------------------------\n", - " Component | low: 34/100000\n", - " Component | high: 70805/100000\n", + " Component | low: 44/100000\n", + " Component | high: 71082/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=23.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00104233 [ 0.49 %]\n", - "Velocity : 0.00307243 [ 1.43 %]\n", - "Force : 0.0768314 [ 35.77 %]\n", - "Coefs : 0.0272815 [ 12.70 %]\n", - "Output : 0.00162975 [ 0.76 %]\n", - "Levels : 0.000277204 [ 0.13 %]\n", - "Report : 9.39e-07 [ 0.00 %]\n", - "Balance : 3.92e-07 [ 0.00 %]\n", - "Adjust : 0.104594 [ 48.70 %]\n", - "Total : 0.214782 [100.00 %]\n", + "Drift : 0.000342106 [ 0.78 %]\n", + "Velocity : 0.000781061 [ 1.79 %]\n", + "Force : 0.0161274 [ 36.91 %]\n", + "Coefs : 0.00688384 [ 15.75 %]\n", + "Output : 0.00058133 [ 1.33 %]\n", + "Levels : 0.00011799 [ 0.27 %]\n", + "Report : 2.04e-07 [ 0.00 %]\n", + "Balance : 1.71e-07 [ 0.00 %]\n", + "Adjust : 0.0188442 [ 43.12 %]\n", + "Total : 0.0436986 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6516 490 118 12 6 \n", - "1 : 6500 516 110 11 5 \n", - "2 : 6458 558 115 10 1 \n", - "3 : 6509 525 89 12 7 \n", - "4 : 6471 544 111 11 5 \n", - "5 : 6514 499 111 14 4 \n", - "6 : 6485 528 118 5 6 \n", - "7 : 6468 546 103 17 8 \n", - "8 : 6514 513 101 9 5 \n", - "9 : 6528 489 110 12 3 \n", - "10 : 6507 504 110 14 7 \n", - "11 : 6442 586 103 7 4 \n", - "12 : 6505 522 103 7 5 \n", - "13 : 6492 545 102 11 4 \n", + "0 : 6521 513 96 5 7 \n", + "1 : 6549 501 80 6 6 \n", + "2 : 6505 505 121 4 7 \n", + "3 : 6557 474 103 5 3 \n", + "4 : 6496 514 115 6 11 \n", + "5 : 6535 514 78 7 8 \n", + "6 : 6498 528 101 11 4 \n", + "7 : 6510 518 99 10 5 \n", + "8 : 6524 515 91 4 8 \n", + "9 : 6529 514 83 11 5 \n", + "10 : 6525 515 88 8 6 \n", + "11 : 6492 538 101 6 5 \n", + "12 : 6511 514 105 10 2 \n", + "13 : 6573 476 91 9 5 \n", "\n", - "T : 90909 7365 1504 152 70 [100000]\n", + "T : 91325 7139 1352 102 82 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.2%\n", - "--- Adj/Tot = 0.5%\n", - "--- Update = 1.7332e-02 sec\n", - "--- Collate = 6.6368e-05 sec\n", + "--- Coef/DT = 2.2%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 3.7070e-03 sec\n", + "--- Collate = 2.2964e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.357081e-04 < 6.250000e-03 [40]\n", - "--- Max DT=3.053969e-01 > 1.000000e-01 [70800]\n", + "--- Min DT=1.044898e-06 < 6.250000e-03 [43]\n", + "--- Max DT=3.079754e-01 > 1.000000e-01 [71080]\n", "----------------------------------------------------------------------\n", - " Component | low: 40/100000\n", - " Component | high: 70800/100000\n", + " Component | low: 43/100000\n", + " Component | high: 71080/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=24] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00102843 [ 0.43 %]\n", - "Velocity : 0.00314002 [ 1.31 %]\n", - "Force : 0.090533 [ 37.83 %]\n", - "Coefs : 0.0243476 [ 10.17 %]\n", - "Output : 0.0128942 [ 5.39 %]\n", - "Levels : 0.000287914 [ 0.12 %]\n", - "Report : 9.41e-07 [ 0.00 %]\n", - "Balance : 5.5e-07 [ 0.00 %]\n", - "Adjust : 0.107028 [ 44.72 %]\n", - "Total : 0.239313 [100.00 %]\n", + "Drift : 0.000344187 [ 0.75 %]\n", + "Velocity : 0.000781035 [ 1.71 %]\n", + "Force : 0.0161435 [ 35.39 %]\n", + "Coefs : 0.00677794 [ 14.86 %]\n", + "Output : 0.00278799 [ 6.11 %]\n", + "Levels : 0.000120261 [ 0.26 %]\n", + "Report : 3.37e-07 [ 0.00 %]\n", + "Balance : 2.57e-07 [ 0.00 %]\n", + "Adjust : 0.0186437 [ 40.87 %]\n", + "Total : 0.0456196 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6513 497 114 13 5 \n", - "1 : 6497 519 110 11 5 \n", - "2 : 6465 552 114 9 2 \n", - "3 : 6505 530 91 9 7 \n", - "4 : 6468 549 106 15 4 \n", - "5 : 6513 500 112 13 4 \n", - "6 : 6490 528 112 7 5 \n", - "7 : 6461 551 104 18 8 \n", - "8 : 6517 512 99 8 6 \n", - "9 : 6531 486 113 9 3 \n", - "10 : 6502 511 107 17 5 \n", - "11 : 6441 587 102 8 4 \n", - "12 : 6503 522 105 6 6 \n", - "13 : 6486 552 100 12 4 \n", + "0 : 6516 519 96 6 5 \n", + "1 : 6546 504 78 8 6 \n", + "2 : 6498 509 121 7 7 \n", + "3 : 6554 478 101 7 2 \n", + "4 : 6499 512 114 5 12 \n", + "5 : 6530 518 81 6 7 \n", + "6 : 6499 526 104 9 4 \n", + "7 : 6507 517 102 11 5 \n", + "8 : 6529 510 89 8 6 \n", + "9 : 6530 512 83 12 5 \n", + "10 : 6526 515 88 8 5 \n", + "11 : 6481 549 101 6 5 \n", + "12 : 6520 504 107 9 2 \n", + "13 : 6582 469 91 6 6 \n", "\n", - "T : 90892 7396 1489 155 68 [100000]\n", + "T : 91317 7142 1356 108 77 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.8%\n", - "--- Adj/Tot = 0.5%\n", - "--- Update = 1.2544e-02 sec\n", - "--- Collate = 7.1141e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 3.6731e-03 sec\n", + "--- Collate = 2.7651e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.322203e-05 < 6.250000e-03 [42]\n", - "--- Max DT=3.053690e-01 > 1.000000e-01 [70791]\n", + "--- Min DT=1.085501e-04 < 6.250000e-03 [38]\n", + "--- Max DT=3.080550e-01 > 1.000000e-01 [71056]\n", "----------------------------------------------------------------------\n", - " Component | low: 42/100000\n", - " Component | high: 70791/100000\n", + " Component | low: 38/100000\n", + " Component | high: 71056/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=24.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00104944 [ 0.69 %]\n", - "Velocity : 0.00202626 [ 1.34 %]\n", - "Force : 0.0510285 [ 33.75 %]\n", - "Coefs : 0.0266531 [ 17.63 %]\n", - "Output : 0.0015491 [ 1.02 %]\n", - "Levels : 0.000282032 [ 0.19 %]\n", - "Report : 7.02e-07 [ 0.00 %]\n", - "Balance : 3.5e-07 [ 0.00 %]\n", - "Adjust : 0.0685694 [ 45.35 %]\n", - "Total : 0.151211 [100.00 %]\n", + "Drift : 0.000323581 [ 0.74 %]\n", + "Velocity : 0.000783432 [ 1.79 %]\n", + "Force : 0.0162249 [ 37.02 %]\n", + "Coefs : 0.00689787 [ 15.74 %]\n", + "Output : 0.000567871 [ 1.30 %]\n", + "Levels : 0.000129423 [ 0.30 %]\n", + "Report : 1.85e-07 [ 0.00 %]\n", + "Balance : 1.75e-07 [ 0.00 %]\n", + "Adjust : 0.0188777 [ 43.07 %]\n", + "Total : 0.0438262 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6508 502 114 13 5 \n", - "1 : 6500 518 110 9 5 \n", - "2 : 6462 553 117 7 3 \n", - "3 : 6504 530 92 9 7 \n", - "4 : 6464 549 109 14 6 \n", - "5 : 6512 500 113 12 5 \n", - "6 : 6488 531 113 4 6 \n", - "7 : 6461 549 106 18 8 \n", - "8 : 6513 514 101 5 9 \n", - "9 : 6534 482 114 11 1 \n", - "10 : 6497 516 107 16 6 \n", - "11 : 6441 585 104 8 4 \n", - "12 : 6502 519 109 5 7 \n", - "13 : 6486 556 97 10 5 \n", + "0 : 6515 521 94 10 2 \n", + "1 : 6540 508 81 8 5 \n", + "2 : 6498 511 117 9 7 \n", + "3 : 6555 475 104 5 3 \n", + "4 : 6500 512 111 8 11 \n", + "5 : 6531 515 82 8 6 \n", + "6 : 6499 528 105 7 3 \n", + "7 : 6507 516 105 7 7 \n", + "8 : 6529 510 89 8 6 \n", + "9 : 6529 514 85 8 6 \n", + "10 : 6527 512 90 7 6 \n", + "11 : 6479 554 97 8 4 \n", + "12 : 6513 511 108 8 2 \n", + "13 : 6582 469 91 7 5 \n", "\n", - "T : 90872 7404 1506 141 77 [100000]\n", + "T : 91304 7156 1359 108 73 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.1%\n", - "--- Adj/Tot = 0.5%\n", - "--- Update = 1.1900e-02 sec\n", - "--- Collate = 7.7681e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 3.6580e-03 sec\n", + "--- Collate = 2.6577e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.543514e-05 < 6.250000e-03 [46]\n", - "--- Max DT=3.053401e-01 > 1.000000e-01 [70785]\n", + "--- Min DT=2.259302e-05 < 6.250000e-03 [40]\n", + "--- Max DT=3.081340e-01 > 1.000000e-01 [71001]\n", "----------------------------------------------------------------------\n", - " Component | low: 46/100000\n", - " Component | high: 70785/100000\n", + " Component | low: 40/100000\n", + " Component | high: 71001/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=24.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000764029 [ 0.49 %]\n", - "Velocity : 0.00306424 [ 1.97 %]\n", - "Force : 0.0554513 [ 35.74 %]\n", - "Coefs : 0.0228879 [ 14.75 %]\n", - "Output : 0.00156327 [ 1.01 %]\n", - "Levels : 0.000328606 [ 0.21 %]\n", - "Report : 1.075e-06 [ 0.00 %]\n", - "Balance : 3.55e-07 [ 0.00 %]\n", - "Adjust : 0.0710377 [ 45.79 %]\n", - "Total : 0.155152 [100.00 %]\n", + "Drift : 0.000329855 [ 0.76 %]\n", + "Velocity : 0.00077015 [ 1.77 %]\n", + "Force : 0.016149 [ 37.03 %]\n", + "Coefs : 0.00679564 [ 15.58 %]\n", + "Output : 0.000575518 [ 1.32 %]\n", + "Levels : 0.000146806 [ 0.34 %]\n", + "Report : 2.23e-07 [ 0.00 %]\n", + "Balance : 1.72e-07 [ 0.00 %]\n", + "Adjust : 0.0188212 [ 43.16 %]\n", + "Total : 0.0436081 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6510 502 112 13 5 \n", - "1 : 6497 524 107 9 5 \n", - "2 : 6466 549 116 8 3 \n", - "3 : 6505 529 92 10 6 \n", - "4 : 6463 547 113 13 6 \n", - "5 : 6512 500 113 11 6 \n", - "6 : 6489 535 108 4 6 \n", - "7 : 6463 548 105 16 10 \n", - "8 : 6509 519 100 4 10 \n", - "9 : 6530 487 113 10 2 \n", - "10 : 6498 510 113 13 8 \n", - "11 : 6443 582 106 6 5 \n", - "12 : 6495 526 108 8 5 \n", - "13 : 6477 564 100 8 5 \n", + "0 : 6515 515 99 9 4 \n", + "1 : 6536 512 82 6 6 \n", + "2 : 6494 512 120 11 5 \n", + "3 : 6552 478 103 6 3 \n", + "4 : 6501 511 111 9 10 \n", + "5 : 6532 512 83 8 7 \n", + "6 : 6497 529 106 7 3 \n", + "7 : 6511 506 112 7 6 \n", + "8 : 6532 508 88 9 5 \n", + "9 : 6536 503 90 8 5 \n", + "10 : 6525 515 90 6 6 \n", + "11 : 6481 553 96 9 3 \n", + "12 : 6512 511 108 8 3 \n", + "13 : 6583 467 92 7 5 \n", "\n", - "T : 90857 7422 1506 133 82 [100000]\n", + "T : 91307 7132 1380 110 71 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.9%\n", - "--- Adj/Tot = 0.5%\n", - "--- Update = 1.2833e-02 sec\n", - "--- Collate = 7.9377e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 4.3009e-03 sec\n", + "--- Collate = 3.0374e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.817420e-05 < 6.250000e-03 [54]\n", - "--- Max DT=3.053114e-01 > 1.000000e-01 [70747]\n", + "--- Min DT=5.777751e-05 < 6.250000e-03 [37]\n", + "--- Max DT=3.082107e-01 > 1.000000e-01 [70964]\n", "----------------------------------------------------------------------\n", - " Component | low: 54/100000\n", - " Component | high: 70747/100000\n", + " Component | low: 37/100000\n", + " Component | high: 70964/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=24.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00101076 [ 0.65 %]\n", - "Velocity : 0.0028666 [ 1.84 %]\n", - "Force : 0.0535068 [ 34.31 %]\n", - "Coefs : 0.0218877 [ 14.04 %]\n", - "Output : 0.00165828 [ 1.06 %]\n", - "Levels : 0.000300059 [ 0.19 %]\n", - "Report : 7.19e-07 [ 0.00 %]\n", - "Balance : 3.51e-07 [ 0.00 %]\n", - "Adjust : 0.0746583 [ 47.88 %]\n", - "Total : 0.155944 [100.00 %]\n", + "Drift : 0.000330389 [ 0.59 %]\n", + "Velocity : 0.000837856 [ 1.50 %]\n", + "Force : 0.0231336 [ 41.43 %]\n", + "Coefs : 0.00741791 [ 13.29 %]\n", + "Output : 0.000638755 [ 1.14 %]\n", + "Levels : 0.000132644 [ 0.24 %]\n", + "Report : 3.18e-07 [ 0.00 %]\n", + "Balance : 2.06e-07 [ 0.00 %]\n", + "Adjust : 0.0233177 [ 41.76 %]\n", + "Total : 0.0558314 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6509 500 116 12 5 \n", - "1 : 6502 525 102 8 5 \n", - "2 : 6465 551 114 7 5 \n", - "3 : 6500 533 90 12 7 \n", - "4 : 6460 551 111 11 9 \n", - "5 : 6512 500 112 11 7 \n", - "6 : 6491 530 110 6 5 \n", - "7 : 6470 541 106 12 13 \n", - "8 : 6509 520 100 3 10 \n", - "9 : 6534 482 115 7 4 \n", - "10 : 6493 515 112 15 7 \n", - "11 : 6442 583 105 8 4 \n", - "12 : 6494 527 108 8 5 \n", - "13 : 6482 560 98 9 5 \n", + "0 : 6514 516 98 10 4 \n", + "1 : 6539 508 82 6 7 \n", + "2 : 6493 513 120 12 4 \n", + "3 : 6548 484 101 6 3 \n", + "4 : 6495 516 111 12 8 \n", + "5 : 6527 518 81 12 4 \n", + "6 : 6498 525 108 7 4 \n", + "7 : 6512 506 111 8 5 \n", + "8 : 6529 508 91 9 5 \n", + "9 : 6537 501 90 9 5 \n", + "10 : 6524 516 90 8 4 \n", + "11 : 6481 558 91 9 3 \n", + "12 : 6512 509 111 6 4 \n", + "13 : 6579 469 94 6 6 \n", "\n", - "T : 90863 7418 1499 129 91 [100000]\n", + "T : 91288 7147 1379 120 66 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.6%\n", - "--- Adj/Tot = 0.5%\n", - "--- Update = 1.2719e-02 sec\n", - "--- Collate = 8.3536e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 5.3480e-03 sec\n", + "--- Collate = 3.4620e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.297178e-04 < 6.250000e-03 [51]\n", - "--- Max DT=3.052812e-01 > 1.000000e-01 [70735]\n", + "--- Min DT=5.387137e-05 < 6.250000e-03 [32]\n", + "--- Max DT=3.082864e-01 > 1.000000e-01 [70923]\n", "----------------------------------------------------------------------\n", - " Component | low: 51/100000\n", - " Component | high: 70735/100000\n", + " Component | low: 32/100000\n", + " Component | high: 70923/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=24.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00109975 [ 0.72 %]\n", - "Velocity : 0.0030673 [ 2.02 %]\n", - "Force : 0.0545507 [ 35.87 %]\n", - "Coefs : 0.0224093 [ 14.73 %]\n", - "Output : 0.00164392 [ 1.08 %]\n", - "Levels : 0.000448104 [ 0.29 %]\n", - "Report : 7.36e-07 [ 0.00 %]\n", - "Balance : 3.87e-07 [ 0.00 %]\n", - "Adjust : 0.0688115 [ 45.25 %]\n", - "Total : 0.152083 [100.00 %]\n", + "Drift : 0.000401948 [ 0.72 %]\n", + "Velocity : 0.00107027 [ 1.91 %]\n", + "Force : 0.0199412 [ 35.64 %]\n", + "Coefs : 0.00795796 [ 14.22 %]\n", + "Output : 0.000721226 [ 1.29 %]\n", + "Levels : 0.000153437 [ 0.27 %]\n", + "Report : 4.56e-07 [ 0.00 %]\n", + "Balance : 2.19e-07 [ 0.00 %]\n", + "Adjust : 0.0256867 [ 45.90 %]\n", + "Total : 0.0559588 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6504 504 116 14 4 \n", - "1 : 6508 519 102 8 5 \n", - "2 : 6457 559 115 6 5 \n", - "3 : 6501 528 95 11 7 \n", - "4 : 6465 547 111 8 11 \n", - "5 : 6503 514 108 9 8 \n", - "6 : 6494 527 109 8 4 \n", - "7 : 6472 537 108 11 14 \n", - "8 : 6505 521 103 4 9 \n", - "9 : 6534 480 115 8 5 \n", - "10 : 6491 518 109 17 7 \n", - "11 : 6440 579 112 8 3 \n", - "12 : 6500 521 108 7 6 \n", - "13 : 6483 558 99 9 5 \n", + "0 : 6513 516 99 10 4 \n", + "1 : 6536 512 81 6 7 \n", + "2 : 6494 507 126 12 3 \n", + "3 : 6550 484 98 7 3 \n", + "4 : 6493 518 110 14 7 \n", + "5 : 6529 513 84 11 5 \n", + "6 : 6499 520 110 10 3 \n", + "7 : 6511 509 109 9 4 \n", + "8 : 6525 508 95 9 5 \n", + "9 : 6539 498 90 10 5 \n", + "10 : 6525 513 92 7 5 \n", + "11 : 6485 554 90 10 3 \n", + "12 : 6511 507 114 6 4 \n", + "13 : 6578 470 94 8 4 \n", "\n", - "T : 90857 7412 1510 128 93 [100000]\n", + "T : 91288 7129 1392 129 62 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.9%\n", - "--- Adj/Tot = 0.5%\n", - "--- Update = 1.0825e-02 sec\n", - "--- Collate = 7.6773e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 6.3468e-03 sec\n", + "--- Collate = 3.9426e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.909588e-05 < 6.250000e-03 [49]\n", - "--- Max DT=3.052492e-01 > 1.000000e-01 [70714]\n", + "--- Min DT=2.437625e-06 < 6.250000e-03 [31]\n", + "--- Max DT=3.083620e-01 > 1.000000e-01 [70922]\n", "----------------------------------------------------------------------\n", - " Component | low: 49/100000\n", - " Component | high: 70714/100000\n", + " Component | low: 31/100000\n", + " Component | high: 70922/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=24.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00066895 [ 0.49 %]\n", - "Velocity : 0.00225329 [ 1.64 %]\n", - "Force : 0.0506925 [ 36.84 %]\n", - "Coefs : 0.0209673 [ 15.24 %]\n", - "Output : 0.00144798 [ 1.05 %]\n", - "Levels : 0.000236827 [ 0.17 %]\n", - "Report : 5.36e-07 [ 0.00 %]\n", - "Balance : 3.32e-07 [ 0.00 %]\n", - "Adjust : 0.0612675 [ 44.53 %]\n", - "Total : 0.137586 [100.00 %]\n", + "Drift : 0.00051549 [ 0.75 %]\n", + "Velocity : 0.0013543 [ 1.97 %]\n", + "Force : 0.0243006 [ 35.39 %]\n", + "Coefs : 0.00984335 [ 14.34 %]\n", + "Output : 0.000862871 [ 1.26 %]\n", + "Levels : 0.000191145 [ 0.28 %]\n", + "Report : 3.2e-07 [ 0.00 %]\n", + "Balance : 2.64e-07 [ 0.00 %]\n", + "Adjust : 0.0315587 [ 45.97 %]\n", + "Total : 0.0686579 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6494 514 118 11 5 \n", - "1 : 6511 515 104 7 5 \n", - "2 : 6455 562 114 6 5 \n", - "3 : 6504 526 95 10 7 \n", - "4 : 6463 552 110 6 11 \n", - "5 : 6501 518 105 10 8 \n", - "6 : 6494 524 113 7 4 \n", - "7 : 6466 545 106 9 16 \n", - "8 : 6509 518 101 6 8 \n", - "9 : 6531 480 115 12 4 \n", - "10 : 6488 519 110 16 9 \n", - "11 : 6437 577 117 7 4 \n", - "12 : 6498 524 108 6 6 \n", - "13 : 6480 558 102 10 4 \n", + "0 : 6513 516 99 10 4 \n", + "1 : 6534 511 84 7 6 \n", + "2 : 6496 504 129 11 2 \n", + "3 : 6545 491 95 8 3 \n", + "4 : 6494 515 113 11 9 \n", + "5 : 6522 520 83 10 7 \n", + "6 : 6495 520 114 10 3 \n", + "7 : 6507 511 112 8 4 \n", + "8 : 6527 510 91 8 6 \n", + "9 : 6541 495 91 10 5 \n", + "10 : 6522 514 93 9 4 \n", + "11 : 6479 557 92 11 3 \n", + "12 : 6506 512 114 5 5 \n", + "13 : 6578 470 94 8 4 \n", "\n", - "T : 90831 7432 1518 123 96 [100000]\n", + "T : 91259 7146 1404 126 65 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 1.7%\n", - "--- Adj/Tot = 0.5%\n", - "--- Update = 1.1389e-02 sec\n", - "--- Collate = 1.5509e-04 sec\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 6.7386e-03 sec\n", + "--- Collate = 4.9935e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.216757e-05 < 6.250000e-03 [47]\n", - "--- Max DT=3.052177e-01 > 1.000000e-01 [70698]\n", + "--- Min DT=4.824308e-06 < 6.250000e-03 [29]\n", + "--- Max DT=3.084354e-01 > 1.000000e-01 [70907]\n", "----------------------------------------------------------------------\n", - " Component | low: 47/100000\n", - " Component | high: 70698/100000\n", + " Component | low: 29/100000\n", + " Component | high: 70907/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=24.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00100841 [ 0.73 %]\n", - "Velocity : 0.00204202 [ 1.47 %]\n", - "Force : 0.0486358 [ 35.10 %]\n", - "Coefs : 0.0200696 [ 14.48 %]\n", - "Output : 0.00142345 [ 1.03 %]\n", - "Levels : 0.000240035 [ 0.17 %]\n", - "Report : 1.03e-06 [ 0.00 %]\n", - "Balance : 3.49e-07 [ 0.00 %]\n", - "Adjust : 0.0651131 [ 46.99 %]\n", - "Total : 0.138582 [100.00 %]\n", + "Drift : 0.000599895 [ 0.75 %]\n", + "Velocity : 0.00157443 [ 1.98 %]\n", + "Force : 0.0283838 [ 35.63 %]\n", + "Coefs : 0.0116655 [ 14.64 %]\n", + "Output : 0.00100375 [ 1.26 %]\n", + "Levels : 0.000210647 [ 0.26 %]\n", + "Report : 3.25e-07 [ 0.00 %]\n", + "Balance : 2.92e-07 [ 0.00 %]\n", + "Adjust : 0.0361923 [ 45.43 %]\n", + "Total : 0.0796657 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6494 519 113 12 4 \n", - "1 : 6512 514 104 8 4 \n", - "2 : 6452 565 114 7 4 \n", - "3 : 6503 529 92 8 10 \n", - "4 : 6456 556 112 5 13 \n", - "5 : 6503 518 104 10 7 \n", - "6 : 6491 529 109 9 4 \n", - "7 : 6468 546 101 11 16 \n", - "8 : 6512 516 99 7 8 \n", - "9 : 6529 480 115 14 4 \n", - "10 : 6490 518 112 14 8 \n", - "11 : 6432 582 115 8 5 \n", - "12 : 6495 529 105 8 5 \n", - "13 : 6486 549 104 11 4 \n", + "0 : 6508 520 103 7 4 \n", + "1 : 6537 509 84 6 6 \n", + "2 : 6504 495 130 8 5 \n", + "3 : 6549 486 97 7 3 \n", + "4 : 6493 514 118 10 7 \n", + "5 : 6519 523 83 7 10 \n", + "6 : 6490 523 116 10 3 \n", + "7 : 6508 509 114 7 4 \n", + "8 : 6527 510 92 8 5 \n", + "9 : 6539 495 91 14 3 \n", + "10 : 6521 513 94 11 3 \n", + "11 : 6477 556 97 10 2 \n", + "12 : 6504 513 113 6 6 \n", + "13 : 6582 466 95 7 4 \n", "\n", - "T : 90823 7450 1499 132 96 [100000]\n", + "T : 91258 7132 1427 118 65 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.5%\n", - "--- Adj/Tot = 0.5%\n", - "--- Update = 1.2705e-02 sec\n", - "--- Collate = 7.0845e-05 sec\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 7.7048e-03 sec\n", + "--- Collate = 6.7125e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.676342e-05 < 6.250000e-03 [51]\n", - "--- Max DT=3.051851e-01 > 1.000000e-01 [70699]\n", + "--- Min DT=1.750377e-04 < 6.250000e-03 [28]\n", + "--- Max DT=3.085086e-01 > 1.000000e-01 [70879]\n", "----------------------------------------------------------------------\n", - " Component | low: 51/100000\n", - " Component | high: 70699/100000\n", + " Component | low: 28/100000\n", + " Component | high: 70879/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=24.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000965044 [ 0.69 %]\n", - "Velocity : 0.00226918 [ 1.63 %]\n", - "Force : 0.0501057 [ 35.92 %]\n", - "Coefs : 0.0196925 [ 14.12 %]\n", - "Output : 0.00132117 [ 0.95 %]\n", - "Levels : 0.000264809 [ 0.19 %]\n", - "Report : 7.75e-07 [ 0.00 %]\n", - "Balance : 3.84e-07 [ 0.00 %]\n", - "Adjust : 0.0648203 [ 46.47 %]\n", - "Total : 0.139488 [100.00 %]\n", + "Drift : 0.000738397 [ 0.82 %]\n", + "Velocity : 0.00199842 [ 2.23 %]\n", + "Force : 0.0307496 [ 34.32 %]\n", + "Coefs : 0.0121166 [ 13.52 %]\n", + "Output : 0.00125111 [ 1.40 %]\n", + "Levels : 0.000271738 [ 0.30 %]\n", + "Report : 4.56e-07 [ 0.00 %]\n", + "Balance : 3.27e-07 [ 0.00 %]\n", + "Adjust : 0.0424423 [ 47.36 %]\n", + "Total : 0.0896079 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6494 517 113 12 6 \n", - "1 : 6509 514 107 7 5 \n", - "2 : 6441 577 114 9 1 \n", - "3 : 6499 527 99 10 7 \n", - "4 : 6448 564 112 5 13 \n", - "5 : 6493 530 100 14 5 \n", - "6 : 6491 530 108 10 3 \n", - "7 : 6463 546 108 11 14 \n", - "8 : 6509 520 96 8 9 \n", - "9 : 6526 482 113 16 5 \n", - "10 : 6491 513 118 12 8 \n", - "11 : 6426 589 113 8 6 \n", - "12 : 6491 534 104 8 5 \n", - "13 : 6486 547 105 11 5 \n", + "0 : 6512 513 106 8 3 \n", + "1 : 6538 507 82 9 6 \n", + "2 : 6497 500 132 8 5 \n", + "3 : 6549 482 101 8 2 \n", + "4 : 6492 512 124 9 5 \n", + "5 : 6511 530 84 8 9 \n", + "6 : 6491 523 115 10 3 \n", + "7 : 6504 515 113 5 5 \n", + "8 : 6525 513 90 8 6 \n", + "9 : 6539 495 90 15 3 \n", + "10 : 6515 519 94 10 4 \n", + "11 : 6475 559 95 10 3 \n", + "12 : 6499 518 115 4 6 \n", + "13 : 6583 465 96 7 3 \n", "\n", - "T : 90767 7490 1510 141 92 [100000]\n", + "T : 91230 7151 1437 119 63 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.6%\n", - "--- Adj/Tot = 0.5%\n", - "--- Update = 1.1704e-02 sec\n", - "--- Collate = 8.5429e-05 sec\n", + "--- Coef/DT = 2.1%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.3046e-03 sec\n", + "--- Collate = 7.1561e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.223216e-06 < 6.250000e-03 [44]\n", - "--- Max DT=3.051517e-01 > 1.000000e-01 [70672]\n", + "--- Min DT=7.441861e-05 < 6.250000e-03 [31]\n", + "--- Max DT=3.085806e-01 > 1.000000e-01 [70858]\n", "----------------------------------------------------------------------\n", - " Component | low: 44/100000\n", - " Component | high: 70672/100000\n", + " Component | low: 31/100000\n", + " Component | high: 70858/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=24.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00109266 [ 0.74 %]\n", - "Velocity : 0.00265613 [ 1.81 %]\n", - "Force : 0.0543055 [ 36.95 %]\n", - "Coefs : 0.020839 [ 14.18 %]\n", - "Output : 0.00147473 [ 1.00 %]\n", - "Levels : 0.000258031 [ 0.18 %]\n", - "Report : 9.26e-07 [ 0.00 %]\n", - "Balance : 3.77e-07 [ 0.00 %]\n", - "Adjust : 0.0662921 [ 45.11 %]\n", - "Total : 0.146971 [100.00 %]\n", + "Drift : 0.000887517 [ 0.84 %]\n", + "Velocity : 0.00251086 [ 2.38 %]\n", + "Force : 0.0358128 [ 33.88 %]\n", + "Coefs : 0.0136005 [ 12.87 %]\n", + "Output : 0.00147042 [ 1.39 %]\n", + "Levels : 0.000237177 [ 0.22 %]\n", + "Report : 4.03e-07 [ 0.00 %]\n", + "Balance : 3.24e-07 [ 0.00 %]\n", + "Adjust : 0.0511348 [ 48.38 %]\n", + "Total : 0.105701 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6488 524 114 10 6 \n", - "1 : 6506 513 110 8 5 \n", - "2 : 6436 581 115 7 3 \n", - "3 : 6502 525 99 10 6 \n", - "4 : 6449 560 115 6 12 \n", - "5 : 6494 529 99 15 5 \n", - "6 : 6493 523 114 9 3 \n", - "7 : 6457 554 107 11 13 \n", - "8 : 6502 529 94 7 10 \n", - "9 : 6522 487 112 17 4 \n", - "10 : 6487 519 116 13 7 \n", - "11 : 6423 592 113 8 6 \n", - "12 : 6487 541 100 10 4 \n", - "13 : 6489 542 108 10 5 \n", + "0 : 6506 518 107 8 3 \n", + "1 : 6534 511 81 9 7 \n", + "2 : 6499 498 133 7 5 \n", + "3 : 6547 484 103 7 1 \n", + "4 : 6492 513 120 13 4 \n", + "5 : 6509 530 86 7 10 \n", + "6 : 6489 521 120 9 3 \n", + "7 : 6500 520 112 5 5 \n", + "8 : 6529 506 93 7 7 \n", + "9 : 6536 497 92 12 5 \n", + "10 : 6517 515 96 10 4 \n", + "11 : 6478 556 95 12 1 \n", + "12 : 6495 520 116 7 4 \n", + "13 : 6590 459 96 7 2 \n", "\n", - "T : 90735 7519 1516 141 89 [100000]\n", + "T : 91221 7148 1450 120 61 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.8%\n", - "--- Adj/Tot = 0.5%\n", - "--- Update = 1.0864e-02 sec\n", - "--- Collate = 8.4342e-05 sec\n", + "--- Coef/DT = 2.3%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.3303e-03 sec\n", + "--- Collate = 6.7228e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.015785e-05 < 6.250000e-03 [46]\n", - "--- Max DT=3.051191e-01 > 1.000000e-01 [70643]\n", + "--- Min DT=9.832279e-05 < 6.250000e-03 [29]\n", + "--- Max DT=3.086518e-01 > 1.000000e-01 [70821]\n", "----------------------------------------------------------------------\n", - " Component | low: 46/100000\n", - " Component | high: 70643/100000\n", + " Component | low: 29/100000\n", + " Component | high: 70821/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=24.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000650055 [ 0.45 %]\n", - "Velocity : 0.00261685 [ 1.83 %]\n", - "Force : 0.0536953 [ 37.53 %]\n", - "Coefs : 0.0209161 [ 14.62 %]\n", - "Output : 0.00140479 [ 0.98 %]\n", - "Levels : 0.000242257 [ 0.17 %]\n", - "Report : 6.36e-07 [ 0.00 %]\n", - "Balance : 3.44e-07 [ 0.00 %]\n", - "Adjust : 0.0634912 [ 44.38 %]\n", - "Total : 0.143066 [100.00 %]\n", + "Drift : 0.00104113 [ 0.96 %]\n", + "Velocity : 0.00274115 [ 2.52 %]\n", + "Force : 0.0366886 [ 33.67 %]\n", + "Coefs : 0.0137183 [ 12.59 %]\n", + "Output : 0.00158427 [ 1.45 %]\n", + "Levels : 0.000230029 [ 0.21 %]\n", + "Report : 3.63e-07 [ 0.00 %]\n", + "Balance : 2.78e-07 [ 0.00 %]\n", + "Adjust : 0.0528986 [ 48.55 %]\n", + "Total : 0.108952 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6492 521 114 9 6 \n", - "1 : 6509 510 111 8 4 \n", - "2 : 6435 578 118 6 5 \n", - "3 : 6503 521 102 10 6 \n", - "4 : 6450 558 117 6 11 \n", - "5 : 6489 531 101 15 6 \n", - "6 : 6490 524 116 10 2 \n", - "7 : 6455 557 106 11 13 \n", - "8 : 6500 536 91 4 11 \n", - "9 : 6520 487 114 16 5 \n", - "10 : 6486 520 116 13 7 \n", - "11 : 6423 590 114 10 5 \n", - "12 : 6483 540 105 10 4 \n", - "13 : 6488 544 108 9 5 \n", + "0 : 6502 519 112 6 3 \n", + "1 : 6534 514 78 9 7 \n", + "2 : 6495 502 133 6 6 \n", + "3 : 6543 484 108 6 1 \n", + "4 : 6497 506 123 12 4 \n", + "5 : 6510 529 87 7 9 \n", + "6 : 6491 519 120 10 2 \n", + "7 : 6497 520 115 5 5 \n", + "8 : 6528 507 94 6 7 \n", + "9 : 6539 494 94 9 6 \n", + "10 : 6517 507 103 11 4 \n", + "11 : 6476 557 96 10 3 \n", + "12 : 6494 521 116 7 4 \n", + "13 : 6587 459 96 9 3 \n", "\n", - "T : 90723 7517 1533 137 90 [100000]\n", + "T : 91210 7138 1475 113 64 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.2%\n", - "--- Adj/Tot = 0.5%\n", - "--- Update = 1.1211e-02 sec\n", - "--- Collate = 8.0420e-05 sec\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 9.0547e-03 sec\n", + "--- Collate = 7.0445e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.573620e-04 < 6.250000e-03 [46]\n", - "--- Max DT=3.050858e-01 > 1.000000e-01 [70642]\n", + "--- Min DT=1.102537e-04 < 6.250000e-03 [34]\n", + "--- Max DT=3.087223e-01 > 1.000000e-01 [70821]\n", "----------------------------------------------------------------------\n", - " Component | low: 46/100000\n", - " Component | high: 70642/100000\n", + " Component | low: 34/100000\n", + " Component | high: 70821/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=25] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00105148 [ 0.75 %]\n", - "Velocity : 0.00277375 [ 1.98 %]\n", - "Force : 0.0482381 [ 34.38 %]\n", - "Coefs : 0.0181186 [ 12.91 %]\n", - "Output : 0.00746752 [ 5.32 %]\n", - "Levels : 0.000242794 [ 0.17 %]\n", - "Report : 1.552e-06 [ 0.00 %]\n", - "Balance : 8.54e-07 [ 0.00 %]\n", - "Adjust : 0.0623508 [ 44.44 %]\n", - "Total : 0.140298 [100.00 %]\n", + "Drift : 0.00101971 [ 0.87 %]\n", + "Velocity : 0.00271719 [ 2.31 %]\n", + "Force : 0.03872 [ 32.95 %]\n", + "Coefs : 0.0143716 [ 12.23 %]\n", + "Output : 0.00604483 [ 5.14 %]\n", + "Levels : 0.000279274 [ 0.24 %]\n", + "Report : 1.141e-06 [ 0.00 %]\n", + "Balance : 7.23e-07 [ 0.00 %]\n", + "Adjust : 0.054302 [ 46.21 %]\n", + "Total : 0.117504 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6490 527 112 7 6 \n", - "1 : 6503 517 111 7 4 \n", - "2 : 6431 581 118 7 5 \n", - "3 : 6500 523 101 12 6 \n", - "4 : 6450 558 115 8 11 \n", - "5 : 6487 532 101 16 6 \n", - "6 : 6492 518 119 10 3 \n", - "7 : 6454 561 100 15 12 \n", - "8 : 6494 539 94 5 10 \n", - "9 : 6514 498 108 17 5 \n", - "10 : 6487 519 120 11 5 \n", - "11 : 6425 588 113 13 3 \n", - "12 : 6486 539 103 9 5 \n", - "13 : 6485 544 111 8 6 \n", + "0 : 6506 512 113 6 5 \n", + "1 : 6529 520 78 7 8 \n", + "2 : 6492 507 130 9 4 \n", + "3 : 6544 481 109 7 1 \n", + "4 : 6496 503 127 12 4 \n", + "5 : 6508 529 87 10 8 \n", + "6 : 6489 520 121 9 3 \n", + "7 : 6493 520 118 6 5 \n", + "8 : 6527 508 95 5 7 \n", + "9 : 6540 494 93 10 5 \n", + "10 : 6511 513 103 12 3 \n", + "11 : 6475 557 99 7 4 \n", + "12 : 6498 519 115 3 7 \n", + "13 : 6592 453 99 6 4 \n", "\n", - "T : 90698 7544 1526 145 87 [100000]\n", + "T : 91200 7136 1487 109 68 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.0%\n", - "--- Adj/Tot = 0.5%\n", - "--- Update = 1.0601e-02 sec\n", - "--- Collate = 9.3155e-05 sec\n", + "--- Coef/DT = 2.1%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 8.9021e-03 sec\n", + "--- Collate = 6.4456e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.073418e-05 < 6.250000e-03 [43]\n", - "--- Max DT=3.050485e-01 > 1.000000e-01 [70634]\n", + "--- Min DT=5.937831e-06 < 6.250000e-03 [34]\n", + "--- Max DT=3.087915e-01 > 1.000000e-01 [70780]\n", "----------------------------------------------------------------------\n", - " Component | low: 43/100000\n", - " Component | high: 70634/100000\n", + " Component | low: 34/100000\n", + " Component | high: 70780/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=25.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00107909 [ 0.76 %]\n", - "Velocity : 0.00240557 [ 1.70 %]\n", - "Force : 0.0496766 [ 35.01 %]\n", - "Coefs : 0.0225727 [ 15.91 %]\n", - "Output : 0.00148114 [ 1.04 %]\n", - "Levels : 0.000460318 [ 0.32 %]\n", - "Report : 7.83e-07 [ 0.00 %]\n", - "Balance : 3.18e-07 [ 0.00 %]\n", - "Adjust : 0.0641625 [ 45.22 %]\n", - "Total : 0.141888 [100.00 %]\n", + "Drift : 0.00103355 [ 0.91 %]\n", + "Velocity : 0.00285243 [ 2.52 %]\n", + "Force : 0.0384911 [ 34.01 %]\n", + "Coefs : 0.0151228 [ 13.36 %]\n", + "Output : 0.00159628 [ 1.41 %]\n", + "Levels : 0.000277109 [ 0.24 %]\n", + "Report : 4e-07 [ 0.00 %]\n", + "Balance : 3.25e-07 [ 0.00 %]\n", + "Adjust : 0.0537463 [ 47.49 %]\n", + "Total : 0.11317 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6486 532 111 7 6 \n", - "1 : 6501 518 114 6 3 \n", - "2 : 6432 583 114 7 6 \n", - "3 : 6498 526 99 15 4 \n", - "4 : 6451 558 114 12 7 \n", - "5 : 6479 540 102 13 8 \n", - "6 : 6489 517 121 13 2 \n", - "7 : 6459 555 102 14 12 \n", - "8 : 6494 540 91 9 8 \n", - "9 : 6510 502 110 13 7 \n", - "10 : 6484 525 117 12 4 \n", - "11 : 6424 589 112 12 5 \n", - "12 : 6474 551 104 8 5 \n", - "13 : 6481 548 110 8 7 \n", + "0 : 6500 516 117 5 4 \n", + "1 : 6532 516 77 9 8 \n", + "2 : 6493 505 130 9 5 \n", + "3 : 6538 487 109 7 1 \n", + "4 : 6492 507 126 11 6 \n", + "5 : 6515 519 90 11 7 \n", + "6 : 6484 523 122 11 2 \n", + "7 : 6495 515 121 6 5 \n", + "8 : 6525 511 93 6 7 \n", + "9 : 6541 492 96 8 5 \n", + "10 : 6522 498 107 13 2 \n", + "11 : 6475 555 100 7 5 \n", + "12 : 6495 521 114 4 8 \n", + "13 : 6585 458 100 7 4 \n", "\n", - "T : 90662 7584 1521 149 84 [100000]\n", + "T : 91192 7123 1502 114 69 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.6%\n", - "--- Adj/Tot = 0.5%\n", - "--- Update = 1.1384e-02 sec\n", - "--- Collate = 8.1900e-05 sec\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 9.0916e-03 sec\n", + "--- Collate = 7.0618e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.879221e-07 < 6.250000e-03 [37]\n", - "--- Max DT=3.050129e-01 > 1.000000e-01 [70609]\n", + "--- Min DT=7.303873e-05 < 6.250000e-03 [36]\n", + "--- Max DT=3.088607e-01 > 1.000000e-01 [70745]\n", "----------------------------------------------------------------------\n", - " Component | low: 37/100000\n", - " Component | high: 70609/100000\n", + " Component | low: 36/100000\n", + " Component | high: 70745/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=25.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00099663 [ 0.70 %]\n", - "Velocity : 0.00301273 [ 2.11 %]\n", - "Force : 0.0520019 [ 36.35 %]\n", - "Coefs : 0.0192965 [ 13.49 %]\n", - "Output : 0.00146244 [ 1.02 %]\n", - "Levels : 0.000262618 [ 0.18 %]\n", - "Report : 6.69e-07 [ 0.00 %]\n", - "Balance : 3.92e-07 [ 0.00 %]\n", - "Adjust : 0.0659648 [ 46.11 %]\n", - "Total : 0.143052 [100.00 %]\n", + "Drift : 0.00104823 [ 0.91 %]\n", + "Velocity : 0.00280441 [ 2.44 %]\n", + "Force : 0.0391813 [ 34.08 %]\n", + "Coefs : 0.0151801 [ 13.20 %]\n", + "Output : 0.00160092 [ 1.39 %]\n", + "Levels : 0.000256275 [ 0.22 %]\n", + "Report : 4.54e-07 [ 0.00 %]\n", + "Balance : 3.97e-07 [ 0.00 %]\n", + "Adjust : 0.0548575 [ 47.71 %]\n", + "Total : 0.114978 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6488 524 117 9 4 \n", - "1 : 6499 520 114 7 2 \n", - "2 : 6433 584 113 7 5 \n", - "3 : 6490 534 101 12 5 \n", - "4 : 6443 564 117 9 9 \n", - "5 : 6472 546 103 11 10 \n", - "6 : 6484 525 119 12 2 \n", - "7 : 6452 560 106 14 10 \n", - "8 : 6491 543 90 10 8 \n", - "9 : 6507 505 110 14 6 \n", - "10 : 6485 527 113 14 3 \n", - "11 : 6425 591 108 13 5 \n", - "12 : 6476 549 103 10 4 \n", - "13 : 6479 553 107 9 6 \n", + "0 : 6502 512 118 7 3 \n", + "1 : 6533 513 80 7 9 \n", + "2 : 6489 512 127 9 5 \n", + "3 : 6534 490 108 10 0 \n", + "4 : 6494 506 124 12 6 \n", + "5 : 6516 517 92 10 7 \n", + "6 : 6486 521 124 9 2 \n", + "7 : 6492 518 121 6 5 \n", + "8 : 6522 511 96 8 5 \n", + "9 : 6544 488 98 7 5 \n", + "10 : 6525 494 109 11 3 \n", + "11 : 6479 549 102 6 6 \n", + "12 : 6489 526 114 5 8 \n", + "13 : 6583 457 103 6 5 \n", "\n", - "T : 90624 7625 1521 151 79 [100000]\n", + "T : 91188 7114 1516 113 69 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.2%\n", - "--- Adj/Tot = 0.6%\n", - "--- Update = 1.2355e-02 sec\n", - "--- Collate = 9.0273e-05 sec\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 9.0386e-03 sec\n", + "--- Collate = 6.7625e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.649708e-05 < 6.250000e-03 [37]\n", - "--- Max DT=3.049751e-01 > 1.000000e-01 [70570]\n", + "--- Min DT=3.189098e-05 < 6.250000e-03 [36]\n", + "--- Max DT=3.089297e-01 > 1.000000e-01 [70741]\n", "----------------------------------------------------------------------\n", - " Component | low: 37/100000\n", - " Component | high: 70570/100000\n", + " Component | low: 36/100000\n", + " Component | high: 70741/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=25.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000986081 [ 0.67 %]\n", - "Velocity : 0.00276862 [ 1.88 %]\n", - "Force : 0.053587 [ 36.44 %]\n", - "Coefs : 0.0214301 [ 14.57 %]\n", - "Output : 0.00141346 [ 0.96 %]\n", - "Levels : 0.000231604 [ 0.16 %]\n", - "Report : 6.92e-07 [ 0.00 %]\n", - "Balance : 3.51e-07 [ 0.00 %]\n", - "Adjust : 0.0665859 [ 45.28 %]\n", - "Total : 0.147055 [100.00 %]\n", + "Drift : 0.00105179 [ 0.91 %]\n", + "Velocity : 0.00284501 [ 2.47 %]\n", + "Force : 0.0396742 [ 34.38 %]\n", + "Coefs : 0.015496 [ 13.43 %]\n", + "Output : 0.0016197 [ 1.40 %]\n", + "Levels : 0.000251085 [ 0.22 %]\n", + "Report : 5.37e-07 [ 0.00 %]\n", + "Balance : 3.83e-07 [ 0.00 %]\n", + "Adjust : 0.054397 [ 47.14 %]\n", + "Total : 0.115387 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6489 520 122 8 3 \n", - "1 : 6490 533 107 9 3 \n", - "2 : 6433 584 113 4 8 \n", - "3 : 6494 531 100 10 7 \n", - "4 : 6445 565 115 8 9 \n", - "5 : 6473 546 104 9 10 \n", - "6 : 6480 527 119 15 1 \n", - "7 : 6451 560 108 14 9 \n", - "8 : 6487 545 92 10 8 \n", - "9 : 6507 505 114 10 6 \n", - "10 : 6480 530 111 18 3 \n", - "11 : 6415 603 106 12 6 \n", - "12 : 6474 555 99 11 3 \n", - "13 : 6481 553 106 8 6 \n", + "0 : 6497 513 122 7 3 \n", + "1 : 6534 510 83 5 10 \n", + "2 : 6490 515 124 8 5 \n", + "3 : 6531 492 111 8 0 \n", + "4 : 6492 511 122 12 5 \n", + "5 : 6511 522 93 10 6 \n", + "6 : 6486 518 128 8 2 \n", + "7 : 6490 526 116 5 5 \n", + "8 : 6526 505 99 7 5 \n", + "9 : 6544 487 100 6 5 \n", + "10 : 6523 493 112 9 5 \n", + "11 : 6478 550 101 7 6 \n", + "12 : 6494 520 115 4 9 \n", + "13 : 6587 452 104 6 5 \n", "\n", - "T : 90599 7657 1516 146 82 [100000]\n", + "T : 91183 7114 1530 102 71 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.5%\n", - "--- Adj/Tot = 0.6%\n", - "--- Update = 1.3114e-02 sec\n", - "--- Collate = 9.5370e-05 sec\n", + "--- Coef/DT = 2.1%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 8.8869e-03 sec\n", + "--- Collate = 6.8005e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.740553e-05 < 6.250000e-03 [30]\n", - "--- Max DT=3.049559e-01 > 1.000000e-01 [70557]\n", + "--- Min DT=5.697771e-06 < 6.250000e-03 [37]\n", + "--- Max DT=3.089986e-01 > 1.000000e-01 [70700]\n", "----------------------------------------------------------------------\n", - " Component | low: 30/100000\n", - " Component | high: 70557/100000\n", + " Component | low: 37/100000\n", + " Component | high: 70700/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=25.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00105944 [ 0.72 %]\n", - "Velocity : 0.00179981 [ 1.22 %]\n", - "Force : 0.0533732 [ 36.12 %]\n", - "Coefs : 0.0210524 [ 14.25 %]\n", - "Output : 0.00140447 [ 0.95 %]\n", - "Levels : 0.000265882 [ 0.18 %]\n", - "Report : 6.4e-07 [ 0.00 %]\n", - "Balance : 3.81e-07 [ 0.00 %]\n", - "Adjust : 0.0687458 [ 46.53 %]\n", - "Total : 0.147753 [100.00 %]\n", + "Drift : 0.00108729 [ 0.95 %]\n", + "Velocity : 0.00274964 [ 2.40 %]\n", + "Force : 0.0390451 [ 34.06 %]\n", + "Coefs : 0.0152381 [ 13.29 %]\n", + "Output : 0.00173554 [ 1.51 %]\n", + "Levels : 0.000251986 [ 0.22 %]\n", + "Report : 7.29e-07 [ 0.00 %]\n", + "Balance : 3.89e-07 [ 0.00 %]\n", + "Adjust : 0.0544894 [ 47.53 %]\n", + "Total : 0.11465 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6486 520 125 8 3 \n", - "1 : 6485 540 105 9 3 \n", - "2 : 6431 587 113 5 6 \n", - "3 : 6490 540 94 12 6 \n", - "4 : 6442 568 113 11 8 \n", - "5 : 6468 551 105 11 7 \n", - "6 : 6469 538 120 13 2 \n", - "7 : 6443 569 108 15 7 \n", - "8 : 6488 543 95 11 5 \n", - "9 : 6500 512 115 10 5 \n", - "10 : 6476 536 108 21 1 \n", - "11 : 6412 608 105 12 5 \n", - "12 : 6472 554 103 9 4 \n", - "13 : 6480 556 104 8 6 \n", + "0 : 6495 518 119 8 2 \n", + "1 : 6532 509 86 6 9 \n", + "2 : 6489 514 126 9 4 \n", + "3 : 6531 489 114 5 3 \n", + "4 : 6490 515 122 10 5 \n", + "5 : 6504 529 92 11 6 \n", + "6 : 6486 520 123 10 3 \n", + "7 : 6485 528 118 5 6 \n", + "8 : 6520 511 97 9 5 \n", + "9 : 6547 486 98 6 5 \n", + "10 : 6524 495 110 6 7 \n", + "11 : 6474 556 99 6 7 \n", + "12 : 6492 524 113 4 9 \n", + "13 : 6586 454 104 6 4 \n", "\n", - "T : 90542 7722 1513 155 68 [100000]\n", + "T : 91155 7148 1521 101 75 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.6%\n", + "--- Coef/DT = 1.9%\n", "--- Adj/Tot = 0.6%\n", - "--- Update = 1.2037e-02 sec\n", - "--- Collate = 7.8987e-05 sec\n", + "--- Update = 8.9898e-03 sec\n", + "--- Collate = 6.3948e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.011792e-04 < 6.250000e-03 [32]\n", - "--- Max DT=3.049474e-01 > 1.000000e-01 [70528]\n", + "--- Min DT=6.671806e-05 < 6.250000e-03 [42]\n", + "--- Max DT=3.090664e-01 > 1.000000e-01 [70670]\n", "----------------------------------------------------------------------\n", - " Component | low: 32/100000\n", - " Component | high: 70528/100000\n", + " Component | low: 42/100000\n", + " Component | high: 70670/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=25.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000659558 [ 0.44 %]\n", - "Velocity : 0.00287445 [ 1.93 %]\n", - "Force : 0.0555374 [ 37.34 %]\n", - "Coefs : 0.0216792 [ 14.58 %]\n", - "Output : 0.00154679 [ 1.04 %]\n", - "Levels : 0.000326995 [ 0.22 %]\n", - "Report : 9.23e-07 [ 0.00 %]\n", - "Balance : 3.58e-07 [ 0.00 %]\n", - "Adjust : 0.0660574 [ 44.41 %]\n", - "Total : 0.148737 [100.00 %]\n", + "Drift : 0.00110824 [ 0.96 %]\n", + "Velocity : 0.00277137 [ 2.39 %]\n", + "Force : 0.0394678 [ 34.05 %]\n", + "Coefs : 0.0153219 [ 13.22 %]\n", + "Output : 0.00160514 [ 1.38 %]\n", + "Levels : 0.000312349 [ 0.27 %]\n", + "Report : 8.99e-07 [ 0.00 %]\n", + "Balance : 3.96e-07 [ 0.00 %]\n", + "Adjust : 0.0552626 [ 47.68 %]\n", + "Total : 0.1159 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6492 514 123 10 3 \n", - "1 : 6479 546 104 10 3 \n", - "2 : 6430 587 112 7 6 \n", - "3 : 6494 535 93 12 8 \n", - "4 : 6442 570 110 10 10 \n", - "5 : 6469 550 104 11 8 \n", - "6 : 6470 537 122 10 3 \n", - "7 : 6442 572 107 13 8 \n", - "8 : 6487 542 97 12 4 \n", - "9 : 6500 514 109 11 8 \n", - "10 : 6470 540 109 20 3 \n", - "11 : 6407 615 104 10 6 \n", - "12 : 6467 558 102 10 5 \n", - "13 : 6483 553 104 8 6 \n", + "0 : 6493 521 117 7 4 \n", + "1 : 6526 511 89 8 8 \n", + "2 : 6486 519 122 11 4 \n", + "3 : 6528 491 116 3 4 \n", + "4 : 6491 515 121 12 3 \n", + "5 : 6502 529 95 12 4 \n", + "6 : 6486 519 125 10 2 \n", + "7 : 6489 528 114 5 6 \n", + "8 : 6519 513 95 7 8 \n", + "9 : 6553 477 99 8 5 \n", + "10 : 6524 495 111 5 7 \n", + "11 : 6473 558 99 6 6 \n", + "12 : 6495 518 117 4 8 \n", + "13 : 6578 462 102 9 3 \n", "\n", - "T : 90532 7733 1500 154 81 [100000]\n", + "T : 91143 7156 1522 107 72 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.4%\n", - "--- Adj/Tot = 0.6%\n", - "--- Update = 1.1351e-02 sec\n", - "--- Collate = 1.0720e-04 sec\n", + "--- Coef/DT = 2.1%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 8.9403e-03 sec\n", + "--- Collate = 6.8597e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.442405e-04 < 6.250000e-03 [44]\n", - "--- Max DT=3.049399e-01 > 1.000000e-01 [70508]\n", + "--- Min DT=1.046038e-04 < 6.250000e-03 [44]\n", + "--- Max DT=3.091345e-01 > 1.000000e-01 [70655]\n", "----------------------------------------------------------------------\n", " Component | low: 44/100000\n", - " Component | high: 70508/100000\n", + " Component | high: 70655/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=25.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00102086 [ 0.72 %]\n", - "Velocity : 0.00237059 [ 1.66 %]\n", - "Force : 0.0493611 [ 34.67 %]\n", - "Coefs : 0.0204471 [ 14.36 %]\n", - "Output : 0.00155401 [ 1.09 %]\n", - "Levels : 0.00032844 [ 0.23 %]\n", - "Report : 9.7e-07 [ 0.00 %]\n", - "Balance : 4.18e-07 [ 0.00 %]\n", - "Adjust : 0.0672568 [ 47.23 %]\n", - "Total : 0.142388 [100.00 %]\n", + "Drift : 0.00106879 [ 0.92 %]\n", + "Velocity : 0.00277438 [ 2.40 %]\n", + "Force : 0.0394593 [ 34.07 %]\n", + "Coefs : 0.0152106 [ 13.13 %]\n", + "Output : 0.0016159 [ 1.40 %]\n", + "Levels : 0.000249424 [ 0.22 %]\n", + "Report : 4.52e-07 [ 0.00 %]\n", + "Balance : 3.84e-07 [ 0.00 %]\n", + "Adjust : 0.0553954 [ 47.83 %]\n", + "Total : 0.115825 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6495 511 122 10 4 \n", - "1 : 6475 546 108 9 4 \n", - "2 : 6428 589 113 8 4 \n", - "3 : 6492 536 94 14 6 \n", - "4 : 6439 575 108 10 10 \n", - "5 : 6468 553 102 10 9 \n", - "6 : 6471 538 118 10 5 \n", - "7 : 6446 565 112 12 7 \n", - "8 : 6482 547 97 12 4 \n", - "9 : 6504 508 112 10 8 \n", - "10 : 6466 549 103 20 4 \n", - "11 : 6407 618 101 9 7 \n", - "12 : 6468 554 106 9 5 \n", - "13 : 6484 547 110 7 6 \n", + "0 : 6492 517 119 10 4 \n", + "1 : 6525 510 92 8 7 \n", + "2 : 6485 517 124 12 4 \n", + "3 : 6527 494 114 3 4 \n", + "4 : 6485 524 117 11 5 \n", + "5 : 6502 528 97 12 3 \n", + "6 : 6481 525 125 9 2 \n", + "7 : 6485 531 115 6 5 \n", + "8 : 6516 516 96 7 7 \n", + "9 : 6548 481 102 6 5 \n", + "10 : 6523 493 114 5 7 \n", + "11 : 6473 553 103 7 6 \n", + "12 : 6489 524 116 7 6 \n", + "13 : 6575 467 101 8 3 \n", "\n", - "T : 90525 7736 1506 150 83 [100000]\n", + "T : 91106 7180 1535 111 68 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.0%\n", + "--- Coef/DT = 2.1%\n", "--- Adj/Tot = 0.6%\n", - "--- Update = 1.1858e-02 sec\n", - "--- Collate = 1.7300e-04 sec\n", + "--- Update = 9.2115e-03 sec\n", + "--- Collate = 7.0733e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.534280e-05 < 6.250000e-03 [40]\n", - "--- Max DT=3.049299e-01 > 1.000000e-01 [70490]\n", + "--- Min DT=1.235525e-04 < 6.250000e-03 [42]\n", + "--- Max DT=3.092009e-01 > 1.000000e-01 [70610]\n", "----------------------------------------------------------------------\n", - " Component | low: 40/100000\n", - " Component | high: 70490/100000\n", + " Component | low: 42/100000\n", + " Component | high: 70610/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=25.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000993102 [ 0.70 %]\n", - "Velocity : 0.00251177 [ 1.78 %]\n", - "Force : 0.0501025 [ 35.46 %]\n", - "Coefs : 0.0184434 [ 13.05 %]\n", - "Output : 0.00164976 [ 1.17 %]\n", - "Levels : 0.000305928 [ 0.22 %]\n", - "Report : 5.54e-07 [ 0.00 %]\n", - "Balance : 4e-07 [ 0.00 %]\n", - "Adjust : 0.0672429 [ 47.59 %]\n", - "Total : 0.141301 [100.00 %]\n", + "Drift : 0.00107505 [ 0.92 %]\n", + "Velocity : 0.00284421 [ 2.44 %]\n", + "Force : 0.039404 [ 33.77 %]\n", + "Coefs : 0.0154246 [ 13.22 %]\n", + "Output : 0.00167346 [ 1.43 %]\n", + "Levels : 0.000246074 [ 0.21 %]\n", + "Report : 4.25e-07 [ 0.00 %]\n", + "Balance : 3.89e-07 [ 0.00 %]\n", + "Adjust : 0.0559803 [ 47.97 %]\n", + "Total : 0.116699 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6490 518 121 9 4 \n", - "1 : 6471 548 110 9 4 \n", - "2 : 6426 593 112 7 4 \n", - "3 : 6491 536 95 13 7 \n", - "4 : 6433 581 105 13 10 \n", - "5 : 6460 563 100 11 8 \n", - "6 : 6472 534 121 9 6 \n", - "7 : 6440 572 109 14 7 \n", - "8 : 6489 540 98 12 3 \n", - "9 : 6504 504 113 13 8 \n", - "10 : 6460 555 104 17 6 \n", - "11 : 6415 611 100 10 6 \n", - "12 : 6462 560 104 11 5 \n", - "13 : 6480 555 104 9 6 \n", + "0 : 6491 511 126 10 4 \n", + "1 : 6525 506 96 10 5 \n", + "2 : 6482 520 127 10 3 \n", + "3 : 6522 502 108 6 4 \n", + "4 : 6489 521 115 10 7 \n", + "5 : 6507 523 95 16 1 \n", + "6 : 6478 524 129 8 3 \n", + "7 : 6482 533 115 7 5 \n", + "8 : 6512 518 98 7 7 \n", + "9 : 6550 479 101 7 5 \n", + "10 : 6526 492 113 5 6 \n", + "11 : 6474 548 105 9 6 \n", + "12 : 6485 525 116 10 6 \n", + "13 : 6573 467 103 9 2 \n", "\n", - "T : 90493 7770 1496 157 84 [100000]\n", + "T : 91096 7169 1547 124 64 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.7%\n", + "--- Coef/DT = 2.2%\n", "--- Adj/Tot = 0.6%\n", - "--- Update = 1.1039e-02 sec\n", - "--- Collate = 1.3920e-04 sec\n", + "--- Update = 9.2521e-03 sec\n", + "--- Collate = 7.1711e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.227783e-05 < 6.250000e-03 [37]\n", - "--- Max DT=3.049170e-01 > 1.000000e-01 [70466]\n", + "--- Min DT=4.503419e-05 < 6.250000e-03 [35]\n", + "--- Max DT=3.092676e-01 > 1.000000e-01 [70580]\n", "----------------------------------------------------------------------\n", - " Component | low: 37/100000\n", - " Component | high: 70466/100000\n", + " Component | low: 35/100000\n", + " Component | high: 70580/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=25.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000641611 [ 0.44 %]\n", - "Velocity : 0.00170465 [ 1.17 %]\n", - "Force : 0.0528183 [ 36.20 %]\n", - "Coefs : 0.0221897 [ 15.21 %]\n", - "Output : 0.00140716 [ 0.96 %]\n", - "Levels : 0.000298034 [ 0.20 %]\n", - "Report : 9.54e-07 [ 0.00 %]\n", - "Balance : 3.92e-07 [ 0.00 %]\n", - "Adjust : 0.0667878 [ 45.78 %]\n", - "Total : 0.145901 [100.00 %]\n", + "Drift : 0.00111158 [ 0.95 %]\n", + "Velocity : 0.00295195 [ 2.53 %]\n", + "Force : 0.0395514 [ 33.85 %]\n", + "Coefs : 0.0154108 [ 13.19 %]\n", + "Output : 0.00162308 [ 1.39 %]\n", + "Levels : 0.000298467 [ 0.26 %]\n", + "Report : 4.49e-07 [ 0.00 %]\n", + "Balance : 3.89e-07 [ 0.00 %]\n", + "Adjust : 0.0558551 [ 47.80 %]\n", + "Total : 0.116854 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6482 527 120 10 3 \n", - "1 : 6466 553 107 13 3 \n", - "2 : 6428 594 108 9 3 \n", - "3 : 6493 533 97 12 7 \n", - "4 : 6437 577 107 11 10 \n", - "5 : 6458 568 96 10 10 \n", - "6 : 6476 534 115 11 6 \n", - "7 : 6439 574 107 15 7 \n", - "8 : 6489 545 93 12 3 \n", - "9 : 6501 508 110 16 7 \n", - "10 : 6466 549 104 17 6 \n", - "11 : 6416 606 104 10 6 \n", - "12 : 6469 551 105 13 4 \n", - "13 : 6473 563 103 9 6 \n", + "0 : 6496 506 126 9 5 \n", + "1 : 6525 501 99 13 4 \n", + "2 : 6483 521 123 12 3 \n", + "3 : 6516 502 114 6 4 \n", + "4 : 6489 523 113 9 8 \n", + "5 : 6507 523 93 13 6 \n", + "6 : 6476 525 130 9 2 \n", + "7 : 6475 539 115 8 5 \n", + "8 : 6511 519 98 7 7 \n", + "9 : 6543 488 100 6 5 \n", + "10 : 6522 494 114 5 7 \n", + "11 : 6475 549 104 8 6 \n", + "12 : 6486 525 115 10 6 \n", + "13 : 6572 467 106 7 2 \n", "\n", - "T : 90493 7782 1476 168 81 [100000]\n", + "T : 91076 7182 1550 122 70 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.2%\n", - "--- Adj/Tot = 0.6%\n", - "--- Update = 1.1721e-02 sec\n", - "--- Collate = 8.0856e-05 sec\n", + "--- Coef/DT = 2.4%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.0611e-03 sec\n", + "--- Collate = 6.7099e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.034115e-04 < 6.250000e-03 [39]\n", - "--- Max DT=3.049390e-01 > 1.000000e-01 [70443]\n", + "--- Min DT=1.768683e-04 < 6.250000e-03 [32]\n", + "--- Max DT=3.093347e-01 > 1.000000e-01 [70558]\n", "----------------------------------------------------------------------\n", - " Component | low: 39/100000\n", - " Component | high: 70443/100000\n", + " Component | low: 32/100000\n", + " Component | high: 70558/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=25.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00104121 [ 0.66 %]\n", - "Velocity : 0.00276685 [ 1.76 %]\n", - "Force : 0.0606182 [ 38.56 %]\n", - "Coefs : 0.0216708 [ 13.79 %]\n", - "Output : 0.00155152 [ 0.99 %]\n", - "Levels : 0.000323413 [ 0.21 %]\n", - "Report : 9.47e-07 [ 0.00 %]\n", - "Balance : 3.44e-07 [ 0.00 %]\n", - "Adjust : 0.0691699 [ 44.00 %]\n", - "Total : 0.157198 [100.00 %]\n", + "Drift : 0.0010983 [ 0.95 %]\n", + "Velocity : 0.00279866 [ 2.42 %]\n", + "Force : 0.0398333 [ 34.46 %]\n", + "Coefs : 0.015242 [ 13.18 %]\n", + "Output : 0.00164448 [ 1.42 %]\n", + "Levels : 0.000280039 [ 0.24 %]\n", + "Report : 4.41e-07 [ 0.00 %]\n", + "Balance : 3.81e-07 [ 0.00 %]\n", + "Adjust : 0.0546582 [ 47.28 %]\n", + "Total : 0.115609 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6491 516 121 11 3 \n", - "1 : 6467 549 110 12 4 \n", - "2 : 6432 591 108 8 3 \n", - "3 : 6494 532 97 12 7 \n", - "4 : 6433 577 110 12 10 \n", - "5 : 6451 581 87 14 9 \n", - "6 : 6477 533 115 12 5 \n", - "7 : 6433 579 107 16 7 \n", - "8 : 6490 543 95 11 3 \n", - "9 : 6503 505 112 14 8 \n", - "10 : 6460 549 113 14 6 \n", - "11 : 6412 610 105 9 6 \n", - "12 : 6464 555 107 12 4 \n", - "13 : 6474 561 104 10 5 \n", + "0 : 6494 508 126 7 7 \n", + "1 : 6519 504 104 10 5 \n", + "2 : 6482 520 126 11 3 \n", + "3 : 6511 506 115 5 5 \n", + "4 : 6492 516 117 9 8 \n", + "5 : 6508 523 93 12 6 \n", + "6 : 6468 533 130 9 2 \n", + "7 : 6472 537 120 8 5 \n", + "8 : 6507 523 97 9 6 \n", + "9 : 6548 482 99 9 4 \n", + "10 : 6524 487 117 6 8 \n", + "11 : 6478 546 104 7 7 \n", + "12 : 6483 526 116 11 6 \n", + "13 : 6576 461 107 9 1 \n", "\n", - "T : 90481 7781 1491 167 80 [100000]\n", + "T : 91062 7172 1571 122 73 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 2.0%\n", "--- Adj/Tot = 0.6%\n", - "--- Update = 1.1614e-02 sec\n", - "--- Collate = 9.0632e-05 sec\n", + "--- Update = 9.0157e-03 sec\n", + "--- Collate = 6.8449e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.181713e-05 < 6.250000e-03 [38]\n", - "--- Max DT=3.049611e-01 > 1.000000e-01 [70414]\n", + "--- Min DT=1.321762e-04 < 6.250000e-03 [37]\n", + "--- Max DT=3.094006e-01 > 1.000000e-01 [70559]\n", "----------------------------------------------------------------------\n", - " Component | low: 38/100000\n", - " Component | high: 70414/100000\n", + " Component | low: 37/100000\n", + " Component | high: 70559/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=26] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000973569 [ 0.63 %]\n", - "Velocity : 0.00281299 [ 1.81 %]\n", - "Force : 0.053556 [ 34.40 %]\n", - "Coefs : 0.0214485 [ 13.78 %]\n", - "Output : 0.00814193 [ 5.23 %]\n", - "Levels : 0.000507151 [ 0.33 %]\n", - "Report : 1.466e-06 [ 0.00 %]\n", - "Balance : 8.9e-07 [ 0.00 %]\n", - "Adjust : 0.0682026 [ 43.80 %]\n", - "Total : 0.155702 [100.00 %]\n", + "Drift : 0.00106767 [ 0.88 %]\n", + "Velocity : 0.00280409 [ 2.31 %]\n", + "Force : 0.0398053 [ 32.80 %]\n", + "Coefs : 0.0154367 [ 12.72 %]\n", + "Output : 0.00644149 [ 5.31 %]\n", + "Levels : 0.000338332 [ 0.28 %]\n", + "Report : 1.109e-06 [ 0.00 %]\n", + "Balance : 7.19e-07 [ 0.00 %]\n", + "Adjust : 0.0554024 [ 45.66 %]\n", + "Total : 0.121348 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6490 512 125 12 3 \n", - "1 : 6459 560 108 11 4 \n", - "2 : 6438 583 110 7 4 \n", - "3 : 6493 534 96 13 6 \n", - "4 : 6435 571 112 17 7 \n", - "5 : 6450 580 88 17 7 \n", - "6 : 6477 534 114 11 6 \n", - "7 : 6434 576 109 14 9 \n", - "8 : 6485 545 97 13 2 \n", - "9 : 6504 506 112 11 9 \n", - "10 : 6464 545 113 15 5 \n", - "11 : 6409 611 105 11 6 \n", - "12 : 6457 563 106 10 6 \n", - "13 : 6468 563 107 13 3 \n", + "0 : 6489 510 130 7 6 \n", + "1 : 6518 507 101 11 5 \n", + "2 : 6472 527 129 9 5 \n", + "3 : 6513 500 120 4 5 \n", + "4 : 6486 524 115 7 10 \n", + "5 : 6504 526 95 11 6 \n", + "6 : 6468 531 131 9 3 \n", + "7 : 6474 535 118 13 2 \n", + "8 : 6512 520 94 11 5 \n", + "9 : 6544 483 99 11 5 \n", + "10 : 6522 489 117 7 7 \n", + "11 : 6470 552 106 10 4 \n", + "12 : 6483 523 121 10 5 \n", + "13 : 6572 465 106 8 3 \n", "\n", - "T : 90463 7783 1502 175 77 [100000]\n", + "T : 91027 7192 1582 128 71 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.4%\n", + "--- Coef/DT = 1.9%\n", "--- Adj/Tot = 0.6%\n", - "--- Update = 1.1073e-02 sec\n", - "--- Collate = 1.0402e-04 sec\n", + "--- Update = 9.1619e-03 sec\n", + "--- Collate = 6.8768e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.308508e-05 < 6.250000e-03 [36]\n", - "--- Max DT=3.049837e-01 > 1.000000e-01 [70399]\n", + "--- Min DT=2.548805e-04 < 6.250000e-03 [35]\n", + "--- Max DT=3.094655e-01 > 1.000000e-01 [70552]\n", "----------------------------------------------------------------------\n", - " Component | low: 36/100000\n", - " Component | high: 70399/100000\n", + " Component | low: 35/100000\n", + " Component | high: 70552/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=26.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000843295 [ 0.58 %]\n", - "Velocity : 0.00230011 [ 1.58 %]\n", - "Force : 0.0532625 [ 36.64 %]\n", - "Coefs : 0.0217986 [ 15.00 %]\n", - "Output : 0.00154171 [ 1.06 %]\n", - "Levels : 0.000870205 [ 0.60 %]\n", - "Report : 8.43e-07 [ 0.00 %]\n", - "Balance : 3.47e-07 [ 0.00 %]\n", - "Adjust : 0.0647041 [ 44.51 %]\n", - "Total : 0.145372 [100.00 %]\n", + "Drift : 0.00109636 [ 0.94 %]\n", + "Velocity : 0.00293026 [ 2.51 %]\n", + "Force : 0.040319 [ 34.50 %]\n", + "Coefs : 0.0152926 [ 13.09 %]\n", + "Output : 0.00161502 [ 1.38 %]\n", + "Levels : 0.000267059 [ 0.23 %]\n", + "Report : 4.51e-07 [ 0.00 %]\n", + "Balance : 4.03e-07 [ 0.00 %]\n", + "Adjust : 0.0552838 [ 47.31 %]\n", + "Total : 0.116855 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6490 514 122 13 3 \n", - "1 : 6461 557 107 13 4 \n", - "2 : 6432 585 114 7 4 \n", - "3 : 6492 536 98 9 7 \n", - "4 : 6437 571 109 16 9 \n", - "5 : 6444 586 88 19 5 \n", - "6 : 6471 536 118 11 6 \n", - "7 : 6433 576 110 13 10 \n", - "8 : 6477 553 99 10 3 \n", - "9 : 6507 503 113 10 9 \n", - "10 : 6463 545 112 17 5 \n", - "11 : 6408 611 106 11 6 \n", - "12 : 6456 564 107 9 6 \n", - "13 : 6471 560 108 12 3 \n", + "0 : 6490 509 130 7 6 \n", + "1 : 6516 509 100 13 4 \n", + "2 : 6467 532 130 8 5 \n", + "3 : 6509 503 121 6 3 \n", + "4 : 6484 526 114 8 10 \n", + "5 : 6507 521 97 11 6 \n", + "6 : 6477 522 131 9 3 \n", + "7 : 6474 535 119 11 3 \n", + "8 : 6506 524 97 10 5 \n", + "9 : 6548 483 95 10 6 \n", + "10 : 6518 493 117 7 7 \n", + "11 : 6476 546 107 10 3 \n", + "12 : 6481 525 122 11 3 \n", + "13 : 6568 469 106 8 3 \n", "\n", - "T : 90442 7797 1511 170 80 [100000]\n", + "T : 91021 7197 1586 129 67 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.8%\n", + "--- Coef/DT = 2.0%\n", "--- Adj/Tot = 0.6%\n", - "--- Update = 1.1104e-02 sec\n", - "--- Collate = 9.0905e-05 sec\n", + "--- Update = 9.1744e-03 sec\n", + "--- Collate = 7.1905e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.972872e-04 < 6.250000e-03 [41]\n", - "--- Max DT=3.050066e-01 > 1.000000e-01 [70405]\n", + "--- Min DT=1.173182e-04 < 6.250000e-03 [33]\n", + "--- Max DT=3.095295e-01 > 1.000000e-01 [70495]\n", "----------------------------------------------------------------------\n", - " Component | low: 41/100000\n", - " Component | high: 70405/100000\n", + " Component | low: 33/100000\n", + " Component | high: 70495/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=26.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00106431 [ 0.77 %]\n", - "Velocity : 0.00275017 [ 1.99 %]\n", - "Force : 0.0490559 [ 35.57 %]\n", - "Coefs : 0.0200926 [ 14.57 %]\n", - "Output : 0.00154961 [ 1.12 %]\n", - "Levels : 0.000259998 [ 0.19 %]\n", - "Report : 8.38e-07 [ 0.00 %]\n", - "Balance : 3.04e-07 [ 0.00 %]\n", - "Adjust : 0.0630573 [ 45.73 %]\n", - "Total : 0.137895 [100.00 %]\n", + "Drift : 0.00115294 [ 0.99 %]\n", + "Velocity : 0.00284169 [ 2.43 %]\n", + "Force : 0.0395666 [ 33.85 %]\n", + "Coefs : 0.015515 [ 13.27 %]\n", + "Output : 0.00162644 [ 1.39 %]\n", + "Levels : 0.000255885 [ 0.22 %]\n", + "Report : 4.54e-07 [ 0.00 %]\n", + "Balance : 3.64e-07 [ 0.00 %]\n", + "Adjust : 0.0558801 [ 47.81 %]\n", + "Total : 0.116891 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6496 506 125 12 3 \n", - "1 : 6463 554 108 12 5 \n", - "2 : 6439 578 115 6 4 \n", - "3 : 6491 539 95 11 6 \n", - "4 : 6438 574 108 13 9 \n", - "5 : 6442 587 91 17 5 \n", - "6 : 6471 534 120 13 4 \n", - "7 : 6429 579 113 12 9 \n", - "8 : 6481 549 99 9 4 \n", - "9 : 6506 505 112 11 8 \n", - "10 : 6461 545 111 20 5 \n", - "11 : 6408 612 103 15 4 \n", - "12 : 6454 563 112 7 6 \n", - "13 : 6465 568 107 12 2 \n", + "0 : 6484 515 130 8 5 \n", + "1 : 6516 507 101 13 5 \n", + "2 : 6467 532 130 8 5 \n", + "3 : 6507 504 121 8 2 \n", + "4 : 6481 530 112 13 6 \n", + "5 : 6501 526 97 13 5 \n", + "6 : 6479 521 130 8 4 \n", + "7 : 6475 532 120 12 3 \n", + "8 : 6498 532 97 10 5 \n", + "9 : 6545 483 98 10 6 \n", + "10 : 6518 494 115 8 7 \n", + "11 : 6475 546 108 10 3 \n", + "12 : 6484 519 127 7 5 \n", + "13 : 6568 467 106 11 2 \n", "\n", - "T : 90444 7793 1519 170 74 [100000]\n", + "T : 90998 7208 1592 139 63 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.5%\n", - "--- Adj/Tot = 0.6%\n", - "--- Update = 1.1839e-02 sec\n", - "--- Collate = 4.5507e-04 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.9496e-03 sec\n", + "--- Collate = 6.7496e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.523864e-05 < 6.250000e-03 [40]\n", - "--- Max DT=3.050286e-01 > 1.000000e-01 [70397]\n", + "--- Min DT=1.955312e-05 < 6.250000e-03 [31]\n", + "--- Max DT=3.095921e-01 > 1.000000e-01 [70476]\n", "----------------------------------------------------------------------\n", - " Component | low: 40/100000\n", - " Component | high: 70397/100000\n", + " Component | low: 31/100000\n", + " Component | high: 70476/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=26.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00107242 [ 0.76 %]\n", - "Velocity : 0.00281913 [ 2.00 %]\n", - "Force : 0.0504134 [ 35.72 %]\n", - "Coefs : 0.0185499 [ 13.14 %]\n", - "Output : 0.00147051 [ 1.04 %]\n", - "Levels : 0.000257339 [ 0.18 %]\n", - "Report : 6.19e-07 [ 0.00 %]\n", - "Balance : 3.91e-07 [ 0.00 %]\n", - "Adjust : 0.066492 [ 47.12 %]\n", - "Total : 0.141126 [100.00 %]\n", + "Drift : 0.00112476 [ 0.95 %]\n", + "Velocity : 0.00287403 [ 2.42 %]\n", + "Force : 0.0406847 [ 34.33 %]\n", + "Coefs : 0.015458 [ 13.04 %]\n", + "Output : 0.00171526 [ 1.45 %]\n", + "Levels : 0.000250368 [ 0.21 %]\n", + "Report : 5.37e-07 [ 0.00 %]\n", + "Balance : 3.64e-07 [ 0.00 %]\n", + "Adjust : 0.0563648 [ 47.56 %]\n", + "Total : 0.118525 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6499 506 124 10 3 \n", - "1 : 6457 560 108 12 5 \n", - "2 : 6440 573 119 8 2 \n", - "3 : 6498 532 96 11 5 \n", - "4 : 6438 574 108 14 8 \n", - "5 : 6442 586 93 17 4 \n", - "6 : 6467 540 118 12 5 \n", - "7 : 6425 582 117 9 9 \n", - "8 : 6480 549 101 8 4 \n", - "9 : 6502 507 116 9 8 \n", - "10 : 6458 548 110 21 5 \n", - "11 : 6402 616 104 15 5 \n", - "12 : 6451 567 112 5 7 \n", - "13 : 6463 561 114 14 2 \n", + "0 : 6483 516 128 8 7 \n", + "1 : 6511 513 101 12 5 \n", + "2 : 6468 529 129 10 6 \n", + "3 : 6500 512 118 9 3 \n", + "4 : 6478 533 110 15 6 \n", + "5 : 6509 515 101 12 5 \n", + "6 : 6476 524 129 9 4 \n", + "7 : 6476 530 121 12 3 \n", + "8 : 6491 537 99 12 3 \n", + "9 : 6549 477 101 9 6 \n", + "10 : 6517 490 120 8 7 \n", + "11 : 6475 548 106 9 4 \n", + "12 : 6482 520 128 7 5 \n", + "13 : 6568 465 108 10 3 \n", "\n", - "T : 90422 7801 1540 165 72 [100000]\n", + "T : 90983 7209 1599 142 67 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.1%\n", - "--- Adj/Tot = 0.7%\n", - "--- Update = 1.2047e-02 sec\n", - "--- Collate = 7.3833e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.3193e-03 sec\n", + "--- Collate = 7.4358e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.982514e-05 < 6.250000e-03 [33]\n", - "--- Max DT=3.050506e-01 > 1.000000e-01 [70398]\n", + "--- Min DT=1.447492e-04 < 6.250000e-03 [30]\n", + "--- Max DT=3.096539e-01 > 1.000000e-01 [70467]\n", "----------------------------------------------------------------------\n", - " Component | low: 33/100000\n", - " Component | high: 70398/100000\n", + " Component | low: 30/100000\n", + " Component | high: 70467/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=26.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00105097 [ 0.69 %]\n", - "Velocity : 0.00260598 [ 1.72 %]\n", - "Force : 0.054829 [ 36.17 %]\n", - "Coefs : 0.0210666 [ 13.90 %]\n", - "Output : 0.00151643 [ 1.00 %]\n", - "Levels : 0.000266604 [ 0.18 %]\n", - "Report : 8.13e-07 [ 0.00 %]\n", - "Balance : 3.46e-07 [ 0.00 %]\n", - "Adjust : 0.070215 [ 46.31 %]\n", - "Total : 0.151604 [100.00 %]\n", + "Drift : 0.00106954 [ 0.92 %]\n", + "Velocity : 0.00280216 [ 2.41 %]\n", + "Force : 0.0396157 [ 34.09 %]\n", + "Coefs : 0.015382 [ 13.24 %]\n", + "Output : 0.00167142 [ 1.44 %]\n", + "Levels : 0.00029083 [ 0.25 %]\n", + "Report : 4.77e-07 [ 0.00 %]\n", + "Balance : 3.71e-07 [ 0.00 %]\n", + "Adjust : 0.0553211 [ 47.61 %]\n", + "Total : 0.116205 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6499 510 120 10 3 \n", - "1 : 6450 566 112 9 5 \n", - "2 : 6443 568 119 10 2 \n", - "3 : 6488 544 92 12 6 \n", - "4 : 6434 582 105 15 6 \n", - "5 : 6443 579 99 18 3 \n", - "6 : 6467 538 120 12 5 \n", - "7 : 6424 586 112 11 9 \n", - "8 : 6484 542 106 6 4 \n", - "9 : 6503 504 119 7 9 \n", - "10 : 6454 550 113 20 5 \n", - "11 : 6409 607 105 15 6 \n", - "12 : 6445 567 119 5 6 \n", - "13 : 6461 559 120 12 2 \n", + "0 : 6486 509 131 10 6 \n", + "1 : 6511 512 103 9 7 \n", + "2 : 6471 524 129 14 4 \n", + "3 : 6501 512 117 11 1 \n", + "4 : 6483 528 109 17 5 \n", + "5 : 6506 515 102 13 6 \n", + "6 : 6475 524 130 9 4 \n", + "7 : 6474 530 125 9 4 \n", + "8 : 6486 540 102 10 4 \n", + "9 : 6547 477 103 9 6 \n", + "10 : 6511 496 122 8 5 \n", + "11 : 6473 550 108 6 5 \n", + "12 : 6483 521 125 8 5 \n", + "13 : 6567 467 108 8 4 \n", "\n", - "T : 90404 7802 1561 162 71 [100000]\n", + "T : 90974 7205 1614 141 66 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.1%\n", - "--- Adj/Tot = 0.7%\n", - "--- Update = 1.1970e-02 sec\n", - "--- Collate = 8.8761e-05 sec\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.0033e-03 sec\n", + "--- Collate = 7.1051e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.562918e-04 < 6.250000e-03 [32]\n", - "--- Max DT=3.050714e-01 > 1.000000e-01 [70367]\n", + "--- Min DT=2.576837e-04 < 6.250000e-03 [36]\n", + "--- Max DT=3.097158e-01 > 1.000000e-01 [70424]\n", "----------------------------------------------------------------------\n", - " Component | low: 32/100000\n", - " Component | high: 70367/100000\n", + " Component | low: 36/100000\n", + " Component | high: 70424/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=26.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000836076 [ 0.56 %]\n", - "Velocity : 0.00308616 [ 2.06 %]\n", - "Force : 0.0532702 [ 35.62 %]\n", - "Coefs : 0.0222974 [ 14.91 %]\n", - "Output : 0.00150458 [ 1.01 %]\n", - "Levels : 0.000260302 [ 0.17 %]\n", - "Report : 8.19e-07 [ 0.00 %]\n", - "Balance : 3.5e-07 [ 0.00 %]\n", - "Adjust : 0.0682257 [ 45.63 %]\n", - "Total : 0.149533 [100.00 %]\n", + "Drift : 0.00108051 [ 0.93 %]\n", + "Velocity : 0.002907 [ 2.51 %]\n", + "Force : 0.0394342 [ 34.02 %]\n", + "Coefs : 0.015535 [ 13.40 %]\n", + "Output : 0.00159604 [ 1.38 %]\n", + "Levels : 0.000258902 [ 0.22 %]\n", + "Report : 5.16e-07 [ 0.00 %]\n", + "Balance : 3.84e-07 [ 0.00 %]\n", + "Adjust : 0.0550682 [ 47.50 %]\n", + "Total : 0.115932 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6496 513 121 9 3 \n", - "1 : 6443 572 115 8 4 \n", - "2 : 6446 565 120 8 3 \n", - "3 : 6496 533 96 11 6 \n", - "4 : 6440 577 104 15 6 \n", - "5 : 6441 578 103 17 3 \n", - "6 : 6465 544 115 13 5 \n", - "7 : 6423 584 113 14 8 \n", - "8 : 6485 541 106 6 4 \n", - "9 : 6503 501 124 6 8 \n", - "10 : 6446 559 112 16 9 \n", - "11 : 6404 612 106 14 6 \n", - "12 : 6441 566 125 3 7 \n", - "13 : 6458 560 122 12 2 \n", + "0 : 6485 507 135 9 6 \n", + "1 : 6513 511 102 10 6 \n", + "2 : 6468 527 130 13 4 \n", + "3 : 6500 513 117 10 2 \n", + "4 : 6478 534 109 15 6 \n", + "5 : 6506 515 102 13 6 \n", + "6 : 6470 527 130 11 4 \n", + "7 : 6470 530 128 9 5 \n", + "8 : 6484 539 106 10 3 \n", + "9 : 6545 477 106 8 6 \n", + "10 : 6504 502 124 8 4 \n", + "11 : 6467 557 108 6 4 \n", + "12 : 6490 515 126 6 5 \n", + "13 : 6568 466 109 7 4 \n", "\n", - "T : 90387 7805 1582 152 74 [100000]\n", + "T : 90948 7220 1632 135 65 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.6%\n", + "--- Coef/DT = 1.5%\n", "--- Adj/Tot = 0.6%\n", - "--- Update = 1.0869e-02 sec\n", - "--- Collate = 8.0606e-05 sec\n", + "--- Update = 9.0707e-03 sec\n", + "--- Collate = 8.8935e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.186954e-05 < 6.250000e-03 [30]\n", - "--- Max DT=3.050915e-01 > 1.000000e-01 [70340]\n", + "--- Min DT=2.603840e-05 < 6.250000e-03 [32]\n", + "--- Max DT=3.097745e-01 > 1.000000e-01 [70390]\n", "----------------------------------------------------------------------\n", - " Component | low: 30/100000\n", - " Component | high: 70340/100000\n", + " Component | low: 32/100000\n", + " Component | high: 70390/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=26.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00102934 [ 0.72 %]\n", - "Velocity : 0.00256721 [ 1.80 %]\n", - "Force : 0.0511118 [ 35.79 %]\n", - "Coefs : 0.0215064 [ 15.06 %]\n", - "Output : 0.00150696 [ 1.06 %]\n", - "Levels : 0.000247146 [ 0.17 %]\n", - "Report : 6.49e-07 [ 0.00 %]\n", - "Balance : 3.45e-07 [ 0.00 %]\n", - "Adjust : 0.0648068 [ 45.37 %]\n", - "Total : 0.142829 [100.00 %]\n", + "Drift : 0.00106866 [ 0.91 %]\n", + "Velocity : 0.0028357 [ 2.42 %]\n", + "Force : 0.0400416 [ 34.12 %]\n", + "Coefs : 0.0153884 [ 13.11 %]\n", + "Output : 0.00163617 [ 1.39 %]\n", + "Levels : 0.000248294 [ 0.21 %]\n", + "Report : 5.15e-07 [ 0.00 %]\n", + "Balance : 3.64e-07 [ 0.00 %]\n", + "Adjust : 0.0560769 [ 47.79 %]\n", + "Total : 0.117347 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6493 516 121 10 2 \n", - "1 : 6443 570 119 7 3 \n", - "2 : 6441 572 119 8 2 \n", - "3 : 6494 534 94 17 3 \n", - "4 : 6441 574 107 13 7 \n", - "5 : 6445 573 104 15 5 \n", - "6 : 6452 557 115 12 6 \n", - "7 : 6422 583 114 16 7 \n", - "8 : 6487 534 111 6 4 \n", - "9 : 6501 506 120 8 7 \n", - "10 : 6440 565 112 16 9 \n", - "11 : 6412 602 109 13 6 \n", - "12 : 6442 566 124 4 6 \n", - "13 : 6454 565 124 8 3 \n", + "0 : 6483 511 134 8 6 \n", + "1 : 6509 516 102 10 5 \n", + "2 : 6471 522 131 14 4 \n", + "3 : 6500 513 117 9 3 \n", + "4 : 6476 537 109 12 8 \n", + "5 : 6501 521 102 12 6 \n", + "6 : 6464 531 133 9 5 \n", + "7 : 6469 529 130 10 4 \n", + "8 : 6487 537 106 9 3 \n", + "9 : 6543 477 109 7 6 \n", + "10 : 6498 509 122 8 5 \n", + "11 : 6465 561 104 9 3 \n", + "12 : 6487 515 129 7 4 \n", + "13 : 6565 469 108 8 4 \n", "\n", - "T : 90367 7817 1593 153 70 [100000]\n", + "T : 90918 7248 1636 132 66 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.6%\n", - "--- Adj/Tot = 0.6%\n", - "--- Update = 1.2122e-02 sec\n", - "--- Collate = 7.2936e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.1544e-03 sec\n", + "--- Collate = 1.5240e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.160573e-05 < 6.250000e-03 [28]\n", - "--- Max DT=3.051119e-01 > 1.000000e-01 [70311]\n", + "--- Min DT=2.032507e-04 < 6.250000e-03 [35]\n", + "--- Max DT=3.098337e-01 > 1.000000e-01 [70342]\n", "----------------------------------------------------------------------\n", - " Component | low: 28/100000\n", - " Component | high: 70311/100000\n", + " Component | low: 35/100000\n", + " Component | high: 70342/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=26.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00094469 [ 0.66 %]\n", - "Velocity : 0.00238553 [ 1.67 %]\n", - "Force : 0.0502971 [ 35.26 %]\n", - "Coefs : 0.0192376 [ 13.48 %]\n", - "Output : 0.00145473 [ 1.02 %]\n", - "Levels : 0.000265216 [ 0.19 %]\n", - "Report : 8.95e-07 [ 0.00 %]\n", - "Balance : 3.78e-07 [ 0.00 %]\n", - "Adjust : 0.0680252 [ 47.68 %]\n", - "Total : 0.142663 [100.00 %]\n", + "Drift : 0.00107258 [ 0.91 %]\n", + "Velocity : 0.00282841 [ 2.41 %]\n", + "Force : 0.0406016 [ 34.55 %]\n", + "Coefs : 0.015508 [ 13.20 %]\n", + "Output : 0.00159947 [ 1.36 %]\n", + "Levels : 0.000248769 [ 0.21 %]\n", + "Report : 5.3e-07 [ 0.00 %]\n", + "Balance : 3.61e-07 [ 0.00 %]\n", + "Adjust : 0.0555979 [ 47.31 %]\n", + "Total : 0.117508 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6496 510 126 9 1 \n", - "1 : 6441 571 120 8 2 \n", - "2 : 6431 584 115 9 3 \n", - "3 : 6494 537 94 14 3 \n", - "4 : 6445 565 115 11 6 \n", - "5 : 6441 578 102 15 6 \n", - "6 : 6450 558 117 10 7 \n", - "7 : 6426 580 114 15 7 \n", - "8 : 6478 544 110 6 4 \n", - "9 : 6495 510 121 10 6 \n", - "10 : 6439 563 117 15 8 \n", - "11 : 6413 601 108 13 7 \n", - "12 : 6441 569 122 3 7 \n", - "13 : 6457 563 124 9 1 \n", + "0 : 6480 516 130 11 5 \n", + "1 : 6505 519 101 13 4 \n", + "2 : 6471 522 130 15 4 \n", + "3 : 6500 514 115 9 4 \n", + "4 : 6471 540 113 10 8 \n", + "5 : 6494 527 103 12 6 \n", + "6 : 6467 525 137 9 4 \n", + "7 : 6464 538 127 9 4 \n", + "8 : 6485 538 109 6 4 \n", + "9 : 6545 474 112 7 4 \n", + "10 : 6501 503 126 7 5 \n", + "11 : 6469 556 104 8 5 \n", + "12 : 6481 524 126 7 4 \n", + "13 : 6561 473 108 8 4 \n", "\n", - "T : 90347 7833 1605 147 68 [100000]\n", + "T : 90894 7269 1641 131 65 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 1.8%\n", - "--- Adj/Tot = 0.7%\n", - "--- Update = 1.2202e-02 sec\n", - "--- Collate = 7.2045e-05 sec\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.6763e-03 sec\n", + "--- Collate = 8.5991e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.531400e-04 < 6.250000e-03 [27]\n", - "--- Max DT=3.051307e-01 > 1.000000e-01 [70292]\n", + "--- Min DT=7.696274e-05 < 6.250000e-03 [34]\n", + "--- Max DT=3.098906e-01 > 1.000000e-01 [70342]\n", "----------------------------------------------------------------------\n", - " Component | low: 27/100000\n", - " Component | high: 70292/100000\n", + " Component | low: 34/100000\n", + " Component | high: 70342/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=26.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00107039 [ 0.72 %]\n", - "Velocity : 0.00264334 [ 1.77 %]\n", - "Force : 0.0536934 [ 35.87 %]\n", - "Coefs : 0.0215254 [ 14.38 %]\n", - "Output : 0.00155768 [ 1.04 %]\n", - "Levels : 0.000303853 [ 0.20 %]\n", - "Report : 7.72e-07 [ 0.00 %]\n", - "Balance : 3.92e-07 [ 0.00 %]\n", - "Adjust : 0.0688524 [ 45.99 %]\n", - "Total : 0.149701 [100.00 %]\n", + "Drift : 0.00106622 [ 0.91 %]\n", + "Velocity : 0.00276979 [ 2.37 %]\n", + "Force : 0.0398956 [ 34.15 %]\n", + "Coefs : 0.0153499 [ 13.14 %]\n", + "Output : 0.00164341 [ 1.41 %]\n", + "Levels : 0.000306752 [ 0.26 %]\n", + "Report : 5.15e-07 [ 0.00 %]\n", + "Balance : 3.68e-07 [ 0.00 %]\n", + "Adjust : 0.0557455 [ 47.72 %]\n", + "Total : 0.116829 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6496 508 129 5 4 \n", - "1 : 6437 577 116 9 3 \n", - "2 : 6430 583 115 12 2 \n", - "3 : 6491 539 92 14 6 \n", - "4 : 6445 564 117 10 6 \n", - "5 : 6435 582 104 15 6 \n", - "6 : 6440 568 116 11 7 \n", - "7 : 6427 576 118 14 7 \n", - "8 : 6478 548 105 7 4 \n", - "9 : 6487 515 123 12 5 \n", - "10 : 6435 570 116 14 7 \n", - "11 : 6407 607 110 12 6 \n", - "12 : 6443 567 123 5 4 \n", - "13 : 6451 570 122 9 2 \n", + "0 : 6477 520 130 9 6 \n", + "1 : 6504 521 100 13 4 \n", + "2 : 6475 517 130 13 7 \n", + "3 : 6497 518 112 11 4 \n", + "4 : 6466 544 113 10 9 \n", + "5 : 6494 526 103 14 5 \n", + "6 : 6466 525 138 9 4 \n", + "7 : 6470 529 129 10 4 \n", + "8 : 6486 536 109 6 5 \n", + "9 : 6537 482 112 8 3 \n", + "10 : 6498 504 128 9 3 \n", + "11 : 6469 554 107 6 6 \n", + "12 : 6482 523 125 9 3 \n", + "13 : 6561 468 113 8 4 \n", "\n", - "T : 90302 7874 1606 149 69 [100000]\n", + "T : 90882 7267 1649 135 67 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 0.7%\n", - "--- Update = 1.0727e-02 sec\n", - "--- Collate = 7.0329e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.1689e-03 sec\n", + "--- Collate = 1.0811e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.132134e-05 < 6.250000e-03 [33]\n", - "--- Max DT=3.051481e-01 > 1.000000e-01 [70267]\n", + "--- Min DT=1.232802e-05 < 6.250000e-03 [33]\n", + "--- Max DT=3.099475e-01 > 1.000000e-01 [70324]\n", "----------------------------------------------------------------------\n", " Component | low: 33/100000\n", - " Component | high: 70267/100000\n", + " Component | high: 70324/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=26.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0010048 [ 0.69 %]\n", - "Velocity : 0.00316174 [ 2.19 %]\n", - "Force : 0.0509661 [ 35.25 %]\n", - "Coefs : 0.0209874 [ 14.51 %]\n", - "Output : 0.00154115 [ 1.07 %]\n", - "Levels : 0.000439397 [ 0.30 %]\n", - "Report : 6.57e-07 [ 0.00 %]\n", - "Balance : 3.39e-07 [ 0.00 %]\n", - "Adjust : 0.0664498 [ 45.95 %]\n", - "Total : 0.144604 [100.00 %]\n", + "Drift : 0.00109802 [ 0.94 %]\n", + "Velocity : 0.00285097 [ 2.44 %]\n", + "Force : 0.0398395 [ 34.06 %]\n", + "Coefs : 0.0155222 [ 13.27 %]\n", + "Output : 0.00168164 [ 1.44 %]\n", + "Levels : 0.000244852 [ 0.21 %]\n", + "Report : 5.09e-07 [ 0.00 %]\n", + "Balance : 3.81e-07 [ 0.00 %]\n", + "Adjust : 0.0556688 [ 47.60 %]\n", + "Total : 0.116958 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6496 505 131 6 4 \n", - "1 : 6432 580 114 11 5 \n", - "2 : 6430 586 113 9 4 \n", - "3 : 6489 540 94 13 6 \n", - "4 : 6447 561 117 11 6 \n", - "5 : 6434 582 106 14 6 \n", - "6 : 6439 567 116 14 6 \n", - "7 : 6425 577 118 16 6 \n", - "8 : 6480 544 107 9 2 \n", - "9 : 6486 512 129 11 4 \n", - "10 : 6428 579 114 13 8 \n", - "11 : 6401 609 115 12 5 \n", - "12 : 6444 562 126 4 6 \n", - "13 : 6454 566 123 8 3 \n", + "0 : 6478 515 136 7 6 \n", + "1 : 6504 523 100 12 3 \n", + "2 : 6474 516 131 15 6 \n", + "3 : 6496 517 114 12 3 \n", + "4 : 6465 545 111 16 5 \n", + "5 : 6494 523 107 13 5 \n", + "6 : 6467 525 136 10 4 \n", + "7 : 6466 533 128 11 4 \n", + "8 : 6487 533 109 8 5 \n", + "9 : 6537 480 113 9 3 \n", + "10 : 6493 510 126 11 2 \n", + "11 : 6460 564 105 8 5 \n", + "12 : 6478 524 129 8 3 \n", + "13 : 6559 469 114 9 3 \n", "\n", - "T : 90285 7870 1623 151 71 [100000]\n", + "T : 90858 7277 1659 149 57 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.1%\n", - "--- Adj/Tot = 0.6%\n", - "--- Update = 1.2866e-02 sec\n", - "--- Collate = 6.4598e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.9567e-03 sec\n", + "--- Collate = 7.3521e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.920581e-06 < 6.250000e-03 [36]\n", - "--- Max DT=3.051662e-01 > 1.000000e-01 [70234]\n", + "--- Min DT=7.081146e-05 < 6.250000e-03 [31]\n", + "--- Max DT=3.100029e-01 > 1.000000e-01 [70281]\n", "----------------------------------------------------------------------\n", - " Component | low: 36/100000\n", - " Component | high: 70234/100000\n", + " Component | low: 31/100000\n", + " Component | high: 70281/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=27] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00102407 [ 0.67 %]\n", - "Velocity : 0.00244676 [ 1.61 %]\n", - "Force : 0.0494389 [ 32.51 %]\n", - "Coefs : 0.0200231 [ 13.17 %]\n", - "Output : 0.00760825 [ 5.00 %]\n", - "Levels : 0.000214791 [ 0.14 %]\n", - "Report : 1.654e-06 [ 0.00 %]\n", - "Balance : 9.13e-07 [ 0.00 %]\n", - "Adjust : 0.0712754 [ 46.87 %]\n", - "Total : 0.152086 [100.00 %]\n", + "Drift : 0.00107113 [ 0.86 %]\n", + "Velocity : 0.00285066 [ 2.30 %]\n", + "Force : 0.0407498 [ 32.87 %]\n", + "Coefs : 0.0155276 [ 12.53 %]\n", + "Output : 0.00675667 [ 5.45 %]\n", + "Levels : 0.000268339 [ 0.22 %]\n", + "Report : 1.266e-06 [ 0.00 %]\n", + "Balance : 7.6e-07 [ 0.00 %]\n", + "Adjust : 0.0566822 [ 45.73 %]\n", + "Total : 0.123961 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6498 508 123 9 4 \n", - "1 : 6434 576 116 11 5 \n", - "2 : 6426 593 112 7 4 \n", - "3 : 6481 550 92 14 5 \n", - "4 : 6446 562 116 13 5 \n", - "5 : 6434 583 105 14 6 \n", - "6 : 6433 573 116 13 7 \n", - "7 : 6419 583 116 17 7 \n", - "8 : 6482 540 108 10 2 \n", - "9 : 6482 516 130 10 4 \n", - "10 : 6434 572 115 12 9 \n", - "11 : 6402 608 117 9 6 \n", - "12 : 6447 560 124 5 6 \n", - "13 : 6452 565 127 7 3 \n", + "0 : 6475 522 132 7 6 \n", + "1 : 6503 526 97 14 2 \n", + "2 : 6472 514 134 16 6 \n", + "3 : 6497 517 114 9 5 \n", + "4 : 6462 549 113 13 5 \n", + "5 : 6493 526 105 13 5 \n", + "6 : 6461 530 136 11 4 \n", + "7 : 6466 535 124 13 4 \n", + "8 : 6482 536 111 7 6 \n", + "9 : 6531 486 113 9 3 \n", + "10 : 6486 519 124 11 2 \n", + "11 : 6467 557 106 7 5 \n", + "12 : 6477 529 124 10 2 \n", + "13 : 6557 469 117 9 2 \n", "\n", - "T : 90270 7889 1617 151 73 [100000]\n", + "T : 90829 7315 1650 149 57 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.1%\n", - "--- Adj/Tot = 0.7%\n", - "--- Update = 3.2831e-02 sec\n", - "--- Collate = 3.1890e-05 sec\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.4674e-03 sec\n", + "--- Collate = 7.5669e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.146372e-06 < 6.250000e-03 [43]\n", - "--- Max DT=3.051829e-01 > 1.000000e-01 [70213]\n", + "--- Min DT=2.533988e-04 < 6.250000e-03 [34]\n", + "--- Max DT=3.100567e-01 > 1.000000e-01 [70235]\n", "----------------------------------------------------------------------\n", - " Component | low: 43/100000\n", - " Component | high: 70213/100000\n", + " Component | low: 34/100000\n", + " Component | high: 70235/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=27.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00109557 [ 0.33 %]\n", - "Velocity : 0.00334887 [ 1.01 %]\n", - "Force : 0.129228 [ 39.04 %]\n", - "Coefs : 0.0529756 [ 16.00 %]\n", - "Output : 0.00176283 [ 0.53 %]\n", - "Levels : 0.000291236 [ 0.09 %]\n", - "Report : 1.226e-06 [ 0.00 %]\n", - "Balance : 6.92e-07 [ 0.00 %]\n", - "Adjust : 0.142283 [ 42.98 %]\n", - "Total : 0.331042 [100.00 %]\n", + "Drift : 0.00105831 [ 0.88 %]\n", + "Velocity : 0.00283671 [ 2.36 %]\n", + "Force : 0.040272 [ 33.53 %]\n", + "Coefs : 0.0157026 [ 13.07 %]\n", + "Output : 0.00164264 [ 1.37 %]\n", + "Levels : 0.000218613 [ 0.18 %]\n", + "Report : 5.09e-07 [ 0.00 %]\n", + "Balance : 3.83e-07 [ 0.00 %]\n", + "Adjust : 0.0583307 [ 48.56 %]\n", + "Total : 0.120115 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6496 509 123 10 4 \n", - "1 : 6434 572 120 12 4 \n", - "2 : 6423 593 117 5 4 \n", - "3 : 6487 546 90 14 5 \n", - "4 : 6443 564 116 14 5 \n", - "5 : 6438 578 106 12 8 \n", - "6 : 6430 577 118 10 7 \n", - "7 : 6417 585 117 17 6 \n", - "8 : 6484 537 107 12 2 \n", - "9 : 6475 524 128 13 2 \n", - "10 : 6442 562 115 13 10 \n", - "11 : 6402 606 119 8 7 \n", - "12 : 6446 558 125 8 5 \n", - "13 : 6440 582 123 6 3 \n", + "0 : 6471 526 130 10 5 \n", + "1 : 6502 524 103 9 4 \n", + "2 : 6469 518 132 18 5 \n", + "3 : 6499 514 114 10 5 \n", + "4 : 6457 553 113 14 5 \n", + "5 : 6490 527 108 10 7 \n", + "6 : 6458 534 136 11 3 \n", + "7 : 6464 537 126 11 4 \n", + "8 : 6480 533 115 8 6 \n", + "9 : 6524 494 113 9 2 \n", + "10 : 6484 520 124 10 4 \n", + "11 : 6463 562 104 6 7 \n", + "12 : 6478 525 125 13 1 \n", + "13 : 6548 480 115 8 3 \n", "\n", - "T : 90257 7893 1624 154 72 [100000]\n", + "T : 90787 7347 1658 147 61 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.9%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.1119e-02 sec\n", - "--- Collate = 7.7099e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.2153e-03 sec\n", + "--- Collate = 8.1062e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.080082e-05 < 6.250000e-03 [41]\n", - "--- Max DT=3.051984e-01 > 1.000000e-01 [70208]\n", + "--- Min DT=1.303844e-04 < 6.250000e-03 [30]\n", + "--- Max DT=3.101108e-01 > 1.000000e-01 [70219]\n", "----------------------------------------------------------------------\n", - " Component | low: 41/100000\n", - " Component | high: 70208/100000\n", + " Component | low: 30/100000\n", + " Component | high: 70219/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=27.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00112264 [ 0.51 %]\n", - "Velocity : 0.00336372 [ 1.54 %]\n", - "Force : 0.0756042 [ 34.55 %]\n", - "Coefs : 0.0394708 [ 18.04 %]\n", - "Output : 0.00161787 [ 0.74 %]\n", - "Levels : 0.00023169 [ 0.11 %]\n", - "Report : 6.51e-07 [ 0.00 %]\n", - "Balance : 3.5e-07 [ 0.00 %]\n", - "Adjust : 0.0973864 [ 44.50 %]\n", - "Total : 0.218851 [100.00 %]\n", + "Drift : 0.00108412 [ 0.93 %]\n", + "Velocity : 0.00287116 [ 2.46 %]\n", + "Force : 0.0399526 [ 34.30 %]\n", + "Coefs : 0.0154627 [ 13.27 %]\n", + "Output : 0.00162282 [ 1.39 %]\n", + "Levels : 0.000256573 [ 0.22 %]\n", + "Report : 4.67e-07 [ 0.00 %]\n", + "Balance : 3.86e-07 [ 0.00 %]\n", + "Adjust : 0.0551824 [ 47.37 %]\n", + "Total : 0.116484 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6492 509 129 7 5 \n", - "1 : 6431 580 115 13 3 \n", - "2 : 6429 586 116 6 5 \n", - "3 : 6484 546 95 12 5 \n", - "4 : 6447 562 114 14 5 \n", - "5 : 6440 572 110 8 12 \n", - "6 : 6427 583 113 10 9 \n", - "7 : 6419 581 120 15 7 \n", - "8 : 6483 538 107 12 2 \n", - "9 : 6471 528 127 13 3 \n", - "10 : 6445 557 116 14 10 \n", - "11 : 6406 601 120 8 7 \n", - "12 : 6448 552 125 13 4 \n", - "13 : 6435 589 120 7 3 \n", + "0 : 6469 532 126 9 6 \n", + "1 : 6501 524 105 7 5 \n", + "2 : 6468 519 134 16 5 \n", + "3 : 6498 514 115 10 5 \n", + "4 : 6457 551 115 13 6 \n", + "5 : 6488 526 109 12 7 \n", + "6 : 6455 537 135 10 5 \n", + "7 : 6469 536 119 15 3 \n", + "8 : 6478 538 111 9 6 \n", + "9 : 6520 495 116 10 1 \n", + "10 : 6478 529 120 10 5 \n", + "11 : 6467 556 106 7 6 \n", + "12 : 6470 531 129 12 0 \n", + "13 : 6543 488 112 7 4 \n", "\n", - "T : 90257 7884 1627 152 80 [100000]\n", + "T : 90761 7376 1652 147 64 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.3%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.1473e-02 sec\n", - "--- Collate = 1.6992e-04 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.7317e-03 sec\n", + "--- Collate = 7.0952e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.333676e-05 < 6.250000e-03 [41]\n", - "--- Max DT=3.052123e-01 > 1.000000e-01 [70174]\n", + "--- Min DT=1.658466e-05 < 6.250000e-03 [32]\n", + "--- Max DT=3.101630e-01 > 1.000000e-01 [70190]\n", "----------------------------------------------------------------------\n", - " Component | low: 41/100000\n", - " Component | high: 70174/100000\n", + " Component | low: 32/100000\n", + " Component | high: 70190/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=27.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00153946 [ 0.75 %]\n", - "Velocity : 0.00339723 [ 1.66 %]\n", - "Force : 0.0703499 [ 34.32 %]\n", - "Coefs : 0.0256954 [ 12.54 %]\n", - "Output : 0.00148621 [ 0.73 %]\n", - "Levels : 0.000285656 [ 0.14 %]\n", - "Report : 9.88e-07 [ 0.00 %]\n", - "Balance : 2.91e-07 [ 0.00 %]\n", - "Adjust : 0.102177 [ 49.85 %]\n", - "Total : 0.204986 [100.00 %]\n", + "Drift : 0.00107287 [ 0.90 %]\n", + "Velocity : 0.00289289 [ 2.41 %]\n", + "Force : 0.0410934 [ 34.29 %]\n", + "Coefs : 0.0155186 [ 12.95 %]\n", + "Output : 0.00161492 [ 1.35 %]\n", + "Levels : 0.000326516 [ 0.27 %]\n", + "Report : 5.38e-07 [ 0.00 %]\n", + "Balance : 3.28e-07 [ 0.00 %]\n", + "Adjust : 0.0572578 [ 47.78 %]\n", + "Total : 0.119827 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6491 507 131 8 5 \n", - "1 : 6432 577 117 10 6 \n", - "2 : 6428 585 118 6 5 \n", - "3 : 6491 537 98 11 5 \n", - "4 : 6443 565 115 14 5 \n", - "5 : 6441 572 110 8 11 \n", - "6 : 6431 578 114 11 8 \n", - "7 : 6417 585 118 14 8 \n", - "8 : 6480 542 108 8 4 \n", - "9 : 6463 535 130 8 6 \n", - "10 : 6444 559 114 16 9 \n", - "11 : 6402 604 121 9 6 \n", - "12 : 6445 547 133 11 6 \n", - "13 : 6437 585 122 7 3 \n", + "0 : 6470 527 127 11 7 \n", + "1 : 6498 525 104 10 5 \n", + "2 : 6465 528 126 18 5 \n", + "3 : 6501 509 118 10 4 \n", + "4 : 6453 555 115 12 7 \n", + "5 : 6483 529 111 11 8 \n", + "6 : 6457 534 136 10 5 \n", + "7 : 6458 544 121 15 4 \n", + "8 : 6474 541 113 9 5 \n", + "9 : 6522 488 119 10 3 \n", + "10 : 6479 527 121 10 5 \n", + "11 : 6464 559 106 8 5 \n", + "12 : 6469 531 130 11 1 \n", + "13 : 6542 492 107 8 5 \n", "\n", - "T : 90245 7878 1649 141 87 [100000]\n", + "T : 90735 7389 1654 153 69 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.5%\n", + "--- Coef/DT = 1.8%\n", "--- Adj/Tot = 0.7%\n", - "--- Update = 1.4563e-02 sec\n", - "--- Collate = 1.0772e-04 sec\n", + "--- Update = 9.5428e-03 sec\n", + "--- Collate = 7.2004e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.889304e-05 < 6.250000e-03 [39]\n", - "--- Max DT=3.052264e-01 > 1.000000e-01 [70141]\n", + "--- Min DT=7.865745e-06 < 6.250000e-03 [39]\n", + "--- Max DT=3.102148e-01 > 1.000000e-01 [70149]\n", "----------------------------------------------------------------------\n", " Component | low: 39/100000\n", - " Component | high: 70141/100000\n", + " Component | high: 70149/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=27.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000610636 [ 0.31 %]\n", - "Velocity : 0.00434047 [ 2.19 %]\n", - "Force : 0.0635405 [ 32.04 %]\n", - "Coefs : 0.0359075 [ 18.10 %]\n", - "Output : 0.00184249 [ 0.93 %]\n", - "Levels : 0.000303658 [ 0.15 %]\n", - "Report : 9.84e-07 [ 0.00 %]\n", - "Balance : 4.3e-07 [ 0.00 %]\n", - "Adjust : 0.091744 [ 46.25 %]\n", - "Total : 0.198346 [100.00 %]\n", + "Drift : 0.00116251 [ 0.98 %]\n", + "Velocity : 0.0027009 [ 2.27 %]\n", + "Force : 0.0405082 [ 34.06 %]\n", + "Coefs : 0.0155049 [ 13.04 %]\n", + "Output : 0.0016555 [ 1.39 %]\n", + "Levels : 0.000247868 [ 0.21 %]\n", + "Report : 4.49e-07 [ 0.00 %]\n", + "Balance : 3.75e-07 [ 0.00 %]\n", + "Adjust : 0.0570883 [ 48.01 %]\n", + "Total : 0.11892 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6487 509 131 9 6 \n", - "1 : 6433 580 112 12 5 \n", - "2 : 6422 588 123 5 4 \n", - "3 : 6496 532 95 15 4 \n", - "4 : 6439 569 116 12 6 \n", - "5 : 6442 572 107 10 11 \n", - "6 : 6426 582 115 11 8 \n", - "7 : 6415 587 118 15 7 \n", - "8 : 6480 541 108 8 5 \n", - "9 : 6459 535 133 9 6 \n", - "10 : 6444 557 116 15 10 \n", - "11 : 6402 601 124 9 6 \n", - "12 : 6437 555 132 9 9 \n", - "13 : 6433 589 122 7 3 \n", + "0 : 6462 537 124 12 7 \n", + "1 : 6491 532 102 12 5 \n", + "2 : 6467 527 122 21 5 \n", + "3 : 6503 506 117 13 3 \n", + "4 : 6454 556 112 13 7 \n", + "5 : 6485 529 110 11 7 \n", + "6 : 6448 541 138 10 5 \n", + "7 : 6455 547 121 14 5 \n", + "8 : 6470 544 115 8 5 \n", + "9 : 6517 491 118 13 3 \n", + "10 : 6475 532 119 11 5 \n", + "11 : 6460 556 115 6 5 \n", + "12 : 6462 543 125 11 1 \n", + "13 : 6546 489 105 10 4 \n", "\n", - "T : 90215 7897 1652 146 90 [100000]\n", + "T : 90695 7430 1643 165 67 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.2%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.6137e-02 sec\n", - "--- Collate = 6.8436e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.3842e-03 sec\n", + "--- Collate = 7.6196e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.311054e-04 < 6.250000e-03 [38]\n", - "--- Max DT=3.052409e-01 > 1.000000e-01 [70119]\n", + "--- Min DT=1.668174e-04 < 6.250000e-03 [42]\n", + "--- Max DT=3.102649e-01 > 1.000000e-01 [70118]\n", "----------------------------------------------------------------------\n", - " Component | low: 38/100000\n", - " Component | high: 70119/100000\n", + " Component | low: 42/100000\n", + " Component | high: 70118/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=27.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00100826 [ 0.56 %]\n", - "Velocity : 0.00380586 [ 2.12 %]\n", - "Force : 0.0687208 [ 38.35 %]\n", - "Coefs : 0.0210976 [ 11.77 %]\n", - "Output : 0.00173698 [ 0.97 %]\n", - "Levels : 0.000277708 [ 0.15 %]\n", - "Report : 6.14e-07 [ 0.00 %]\n", - "Balance : 4.17e-07 [ 0.00 %]\n", - "Adjust : 0.0824759 [ 46.03 %]\n", - "Total : 0.179183 [100.00 %]\n", + "Drift : 0.00109119 [ 0.94 %]\n", + "Velocity : 0.00269433 [ 2.33 %]\n", + "Force : 0.0402944 [ 34.86 %]\n", + "Coefs : 0.0154482 [ 13.37 %]\n", + "Output : 0.0016143 [ 1.40 %]\n", + "Levels : 0.000251078 [ 0.22 %]\n", + "Report : 4.27e-07 [ 0.00 %]\n", + "Balance : 3.65e-07 [ 0.00 %]\n", + "Adjust : 0.0541426 [ 46.84 %]\n", + "Total : 0.115587 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6479 515 133 9 6 \n", - "1 : 6432 585 109 10 6 \n", - "2 : 6425 580 124 9 4 \n", - "3 : 6498 525 100 15 4 \n", - "4 : 6433 574 118 11 6 \n", - "5 : 6441 569 111 11 10 \n", - "6 : 6425 581 118 10 8 \n", - "7 : 6415 587 118 17 5 \n", - "8 : 6480 538 111 9 4 \n", - "9 : 6458 537 131 10 6 \n", - "10 : 6443 558 114 18 9 \n", - "11 : 6399 606 123 8 6 \n", - "12 : 6442 550 132 8 10 \n", - "13 : 6434 587 123 7 3 \n", + "0 : 6465 534 127 9 7 \n", + "1 : 6484 538 103 10 7 \n", + "2 : 6464 527 126 18 7 \n", + "3 : 6499 509 119 10 5 \n", + "4 : 6455 551 112 15 9 \n", + "5 : 6481 532 112 10 7 \n", + "6 : 6441 550 136 9 6 \n", + "7 : 6455 546 121 14 6 \n", + "8 : 6475 538 115 9 5 \n", + "9 : 6515 494 117 13 3 \n", + "10 : 6470 540 116 11 5 \n", + "11 : 6464 554 111 8 5 \n", + "12 : 6461 539 128 12 2 \n", + "13 : 6549 484 107 10 4 \n", "\n", - "T : 90204 7892 1665 152 87 [100000]\n", + "T : 90678 7436 1650 158 78 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.1%\n", - "--- Adj/Tot = 0.7%\n", - "--- Update = 1.0853e-02 sec\n", - "--- Collate = 4.9894e-05 sec\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.1168e-03 sec\n", + "--- Collate = 7.6123e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.757973e-05 < 6.250000e-03 [44]\n", - "--- Max DT=3.052544e-01 > 1.000000e-01 [70113]\n", + "--- Min DT=2.635526e-05 < 6.250000e-03 [42]\n", + "--- Max DT=3.103156e-01 > 1.000000e-01 [70068]\n", "----------------------------------------------------------------------\n", - " Component | low: 44/100000\n", - " Component | high: 70113/100000\n", + " Component | low: 42/100000\n", + " Component | high: 70068/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=27.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000844831 [ 0.57 %]\n", - "Velocity : 0.00236215 [ 1.59 %]\n", - "Force : 0.0541272 [ 36.51 %]\n", - "Coefs : 0.0190212 [ 12.83 %]\n", - "Output : 0.00151433 [ 1.02 %]\n", - "Levels : 0.000223719 [ 0.15 %]\n", - "Report : 5.2e-07 [ 0.00 %]\n", - "Balance : 3.54e-07 [ 0.00 %]\n", - "Adjust : 0.0701172 [ 47.29 %]\n", - "Total : 0.148262 [100.00 %]\n", + "Drift : 0.00103735 [ 0.89 %]\n", + "Velocity : 0.00303144 [ 2.61 %]\n", + "Force : 0.0400401 [ 34.42 %]\n", + "Coefs : 0.01522 [ 13.08 %]\n", + "Output : 0.00161005 [ 1.38 %]\n", + "Levels : 0.000250214 [ 0.22 %]\n", + "Report : 4.59e-07 [ 0.00 %]\n", + "Balance : 3.76e-07 [ 0.00 %]\n", + "Adjust : 0.055083 [ 47.35 %]\n", + "Total : 0.116323 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6469 528 129 10 6 \n", - "1 : 6425 587 113 8 9 \n", - "2 : 6426 574 129 10 3 \n", - "3 : 6497 523 102 14 6 \n", - "4 : 6437 568 120 12 5 \n", - "5 : 6438 570 114 13 7 \n", - "6 : 6427 579 117 11 8 \n", - "7 : 6409 590 121 14 8 \n", - "8 : 6480 536 113 9 4 \n", - "9 : 6458 534 132 13 5 \n", - "10 : 6436 570 110 17 9 \n", - "11 : 6401 602 125 8 6 \n", - "12 : 6437 558 129 9 9 \n", - "13 : 6433 584 128 6 3 \n", + "0 : 6459 539 130 8 6 \n", + "1 : 6478 545 102 11 6 \n", + "2 : 6464 528 126 16 8 \n", + "3 : 6501 508 116 13 4 \n", + "4 : 6458 546 116 12 10 \n", + "5 : 6478 527 119 9 9 \n", + "6 : 6441 552 134 8 7 \n", + "7 : 6458 539 124 14 7 \n", + "8 : 6478 537 112 11 4 \n", + "9 : 6503 504 120 12 3 \n", + "10 : 6465 546 115 11 5 \n", + "11 : 6460 555 113 7 7 \n", + "12 : 6456 545 127 11 3 \n", + "13 : 6548 486 106 10 4 \n", "\n", - "T : 90173 7903 1682 154 88 [100000]\n", + "T : 90647 7457 1660 153 83 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.2%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.2153e-02 sec\n", - "--- Collate = 6.3899e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.3020e-03 sec\n", + "--- Collate = 7.1764e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.097573e-04 < 6.250000e-03 [44]\n", - "--- Max DT=3.052669e-01 > 1.000000e-01 [70063]\n", + "--- Min DT=3.220134e-06 < 6.250000e-03 [40]\n", + "--- Max DT=3.103646e-01 > 1.000000e-01 [69995]\n", "----------------------------------------------------------------------\n", - " Component | low: 44/100000\n", - " Component | high: 70063/100000\n", + " Component | low: 40/100000\n", + " Component | high: 69995/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=27.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000965184 [ 0.63 %]\n", - "Velocity : 0.00307896 [ 2.01 %]\n", - "Force : 0.0561526 [ 36.68 %]\n", - "Coefs : 0.024226 [ 15.83 %]\n", - "Output : 0.0015132 [ 0.99 %]\n", - "Levels : 0.000313742 [ 0.20 %]\n", - "Report : 7.09e-07 [ 0.00 %]\n", - "Balance : 3.81e-07 [ 0.00 %]\n", - "Adjust : 0.0667854 [ 43.63 %]\n", - "Total : 0.153086 [100.00 %]\n", + "Drift : 0.00106854 [ 0.91 %]\n", + "Velocity : 0.0027794 [ 2.35 %]\n", + "Force : 0.0407942 [ 34.56 %]\n", + "Coefs : 0.0155009 [ 13.13 %]\n", + "Output : 0.00170477 [ 1.44 %]\n", + "Levels : 0.000294416 [ 0.25 %]\n", + "Report : 4.41e-07 [ 0.00 %]\n", + "Balance : 3.54e-07 [ 0.00 %]\n", + "Adjust : 0.0558294 [ 47.30 %]\n", + "Total : 0.118025 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6462 535 127 11 7 \n", - "1 : 6427 584 114 10 7 \n", - "2 : 6425 576 129 8 4 \n", - "3 : 6497 521 103 16 5 \n", - "4 : 6438 566 121 13 4 \n", - "5 : 6435 573 116 10 8 \n", - "6 : 6428 579 117 10 8 \n", - "7 : 6408 592 119 16 7 \n", - "8 : 6479 538 112 9 4 \n", - "9 : 6451 545 128 12 6 \n", - "10 : 6444 562 110 17 9 \n", - "11 : 6395 608 124 8 7 \n", - "12 : 6436 559 129 10 8 \n", - "13 : 6428 584 133 8 1 \n", + "0 : 6463 534 131 8 6 \n", + "1 : 6476 544 103 11 8 \n", + "2 : 6463 526 130 15 8 \n", + "3 : 6499 512 113 14 4 \n", + "4 : 6449 552 119 14 8 \n", + "5 : 6469 539 116 10 8 \n", + "6 : 6436 553 138 8 7 \n", + "7 : 6459 538 127 12 6 \n", + "8 : 6480 539 105 16 2 \n", + "9 : 6495 518 115 10 4 \n", + "10 : 6464 546 116 12 4 \n", + "11 : 6458 553 116 9 6 \n", + "12 : 6451 553 124 10 4 \n", + "13 : 6547 487 108 7 5 \n", "\n", - "T : 90153 7922 1682 158 85 [100000]\n", + "T : 90609 7494 1661 156 80 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.8%\n", - "--- Adj/Tot = 0.7%\n", - "--- Update = 1.1795e-02 sec\n", - "--- Collate = 7.0711e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.1078e-03 sec\n", + "--- Collate = 7.7886e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.006438e-05 < 6.250000e-03 [49]\n", - "--- Max DT=3.052792e-01 > 1.000000e-01 [70043]\n", + "--- Min DT=7.122009e-05 < 6.250000e-03 [40]\n", + "--- Max DT=3.104110e-01 > 1.000000e-01 [69968]\n", "----------------------------------------------------------------------\n", - " Component | low: 49/100000\n", - " Component | high: 70043/100000\n", + " Component | low: 40/100000\n", + " Component | high: 69968/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=27.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00121397 [ 0.75 %]\n", - "Velocity : 0.00250113 [ 1.55 %]\n", - "Force : 0.0538188 [ 33.40 %]\n", - "Coefs : 0.0308469 [ 19.14 %]\n", - "Output : 0.00157609 [ 0.98 %]\n", - "Levels : 0.000264336 [ 0.16 %]\n", - "Report : 7.24e-07 [ 0.00 %]\n", - "Balance : 3.78e-07 [ 0.00 %]\n", - "Adjust : 0.0708705 [ 43.98 %]\n", - "Total : 0.161147 [100.00 %]\n", + "Drift : 0.00105177 [ 0.90 %]\n", + "Velocity : 0.00274794 [ 2.36 %]\n", + "Force : 0.0399035 [ 34.25 %]\n", + "Coefs : 0.0155079 [ 13.31 %]\n", + "Output : 0.00160729 [ 1.38 %]\n", + "Levels : 0.000249792 [ 0.21 %]\n", + "Report : 7.18e-07 [ 0.00 %]\n", + "Balance : 3.69e-07 [ 0.00 %]\n", + "Adjust : 0.0553731 [ 47.53 %]\n", + "Total : 0.116493 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6456 540 126 15 5 \n", - "1 : 6429 585 113 9 6 \n", - "2 : 6422 579 126 12 3 \n", - "3 : 6492 527 104 16 3 \n", - "4 : 6434 574 118 10 6 \n", - "5 : 6433 575 114 11 9 \n", - "6 : 6432 574 118 10 8 \n", - "7 : 6407 593 120 13 9 \n", - "8 : 6472 542 114 9 5 \n", - "9 : 6446 553 122 15 6 \n", - "10 : 6441 561 113 17 10 \n", - "11 : 6398 606 123 7 8 \n", - "12 : 6434 563 129 8 8 \n", - "13 : 6425 587 133 8 1 \n", + "0 : 6458 540 132 8 4 \n", + "1 : 6471 549 101 15 6 \n", + "2 : 6460 528 128 15 11 \n", + "3 : 6500 509 115 15 3 \n", + "4 : 6452 549 118 14 9 \n", + "5 : 6474 536 113 11 8 \n", + "6 : 6438 548 142 7 7 \n", + "7 : 6457 544 126 8 7 \n", + "8 : 6472 546 104 18 2 \n", + "9 : 6493 517 120 8 4 \n", + "10 : 6461 547 118 11 5 \n", + "11 : 6457 554 119 6 6 \n", + "12 : 6451 554 124 9 4 \n", + "13 : 6545 485 110 8 6 \n", "\n", - "T : 90121 7959 1673 160 87 [100000]\n", + "T : 90589 7506 1670 153 82 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.4%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 9.9149e-03 sec\n", - "--- Collate = 5.5163e-05 sec\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.1494e-03 sec\n", + "--- Collate = 7.9994e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.393841e-04 < 6.250000e-03 [47]\n", - "--- Max DT=3.052920e-01 > 1.000000e-01 [70003]\n", + "--- Min DT=9.767339e-05 < 6.250000e-03 [48]\n", + "--- Max DT=3.104582e-01 > 1.000000e-01 [69949]\n", "----------------------------------------------------------------------\n", - " Component | low: 47/100000\n", - " Component | high: 70003/100000\n", + " Component | low: 48/100000\n", + " Component | high: 69949/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=27.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00115998 [ 0.74 %]\n", - "Velocity : 0.00329805 [ 2.10 %]\n", - "Force : 0.0592592 [ 37.81 %]\n", - "Coefs : 0.0206404 [ 13.17 %]\n", - "Output : 0.00167767 [ 1.07 %]\n", - "Levels : 0.000368361 [ 0.24 %]\n", - "Report : 9.19e-07 [ 0.00 %]\n", - "Balance : 3.54e-07 [ 0.00 %]\n", - "Adjust : 0.0702851 [ 44.84 %]\n", - "Total : 0.156742 [100.00 %]\n", + "Drift : 0.0010807 [ 0.93 %]\n", + "Velocity : 0.00281783 [ 2.43 %]\n", + "Force : 0.0400584 [ 34.57 %]\n", + "Coefs : 0.0154878 [ 13.36 %]\n", + "Output : 0.00155315 [ 1.34 %]\n", + "Levels : 0.000276771 [ 0.24 %]\n", + "Report : 8.35e-07 [ 0.00 %]\n", + "Balance : 3.7e-07 [ 0.00 %]\n", + "Adjust : 0.0545616 [ 47.08 %]\n", + "Total : 0.115889 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6447 550 125 14 6 \n", - "1 : 6423 584 117 12 6 \n", - "2 : 6424 575 129 8 6 \n", - "3 : 6484 534 105 16 3 \n", - "4 : 6441 564 120 11 6 \n", - "5 : 6434 572 117 10 9 \n", - "6 : 6426 574 125 9 8 \n", - "7 : 6405 592 124 10 11 \n", - "8 : 6471 544 114 8 5 \n", - "9 : 6446 551 123 16 6 \n", - "10 : 6445 556 115 15 11 \n", - "11 : 6394 609 124 6 9 \n", - "12 : 6439 559 127 10 7 \n", - "13 : 6424 589 132 5 4 \n", + "0 : 6454 546 127 12 3 \n", + "1 : 6461 558 107 12 4 \n", + "2 : 6454 534 127 18 9 \n", + "3 : 6501 510 114 12 5 \n", + "4 : 6444 558 117 12 11 \n", + "5 : 6470 541 112 10 9 \n", + "6 : 6439 553 136 6 8 \n", + "7 : 6453 550 124 10 5 \n", + "8 : 6473 546 102 17 4 \n", + "9 : 6494 515 122 6 5 \n", + "10 : 6454 553 118 12 5 \n", + "11 : 6462 546 120 6 8 \n", + "12 : 6453 550 127 7 5 \n", + "13 : 6544 485 110 10 5 \n", "\n", - "T : 90103 7953 1697 150 97 [100000]\n", + "T : 90556 7545 1663 150 86 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.5%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.0265e-02 sec\n", - "--- Collate = 6.0989e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.3834e-03 sec\n", + "--- Collate = 9.0061e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.160280e-05 < 6.250000e-03 [52]\n", - "--- Max DT=3.053050e-01 > 1.000000e-01 [69967]\n", + "--- Min DT=3.223677e-05 < 6.250000e-03 [46]\n", + "--- Max DT=3.105035e-01 > 1.000000e-01 [69906]\n", "----------------------------------------------------------------------\n", - " Component | low: 52/100000\n", - " Component | high: 69967/100000\n", + " Component | low: 46/100000\n", + " Component | high: 69906/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=28] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000962803 [ 0.62 %]\n", - "Velocity : 0.00287745 [ 1.85 %]\n", - "Force : 0.0554616 [ 35.60 %]\n", - "Coefs : 0.0226302 [ 14.52 %]\n", - "Output : 0.00791405 [ 5.08 %]\n", - "Levels : 0.000271947 [ 0.17 %]\n", - "Report : 1.133e-06 [ 0.00 %]\n", - "Balance : 8.01e-07 [ 0.00 %]\n", - "Adjust : 0.0656347 [ 42.13 %]\n", - "Total : 0.155805 [100.00 %]\n", + "Drift : 0.00103955 [ 0.84 %]\n", + "Velocity : 0.0029761 [ 2.40 %]\n", + "Force : 0.0403898 [ 32.52 %]\n", + "Coefs : 0.0157464 [ 12.68 %]\n", + "Output : 0.00698748 [ 5.63 %]\n", + "Levels : 0.000279092 [ 0.22 %]\n", + "Report : 1.373e-06 [ 0.00 %]\n", + "Balance : 8.53e-07 [ 0.00 %]\n", + "Adjust : 0.056742 [ 45.68 %]\n", + "Total : 0.124214 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6455 540 128 11 8 \n", - "1 : 6422 586 117 9 8 \n", - "2 : 6421 578 129 9 5 \n", - "3 : 6477 543 106 12 4 \n", - "4 : 6437 570 117 11 7 \n", - "5 : 6435 574 114 11 8 \n", - "6 : 6425 572 128 10 7 \n", - "7 : 6401 595 125 12 9 \n", - "8 : 6476 536 116 9 5 \n", - "9 : 6438 559 123 17 5 \n", - "10 : 6447 557 114 13 11 \n", - "11 : 6394 611 123 7 7 \n", - "12 : 6434 565 128 9 6 \n", - "13 : 6429 584 130 6 5 \n", + "0 : 6452 548 126 12 4 \n", + "1 : 6456 564 105 12 5 \n", + "2 : 6454 535 127 17 9 \n", + "3 : 6494 517 112 14 5 \n", + "4 : 6447 554 117 14 10 \n", + "5 : 6473 538 112 10 9 \n", + "6 : 6434 557 135 9 7 \n", + "7 : 6447 555 124 11 5 \n", + "8 : 6473 547 101 18 3 \n", + "9 : 6487 521 123 6 5 \n", + "10 : 6446 565 113 13 5 \n", + "11 : 6455 551 121 9 6 \n", + "12 : 6452 552 124 10 4 \n", + "13 : 6539 491 107 13 4 \n", "\n", - "T : 90091 7970 1698 146 95 [100000]\n", + "T : 90509 7595 1647 168 81 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.9%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.1877e-02 sec\n", - "--- Collate = 6.7579e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.2556e-03 sec\n", + "--- Collate = 8.2645e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.173983e-05 < 6.250000e-03 [54]\n", - "--- Max DT=3.053176e-01 > 1.000000e-01 [69933]\n", + "--- Min DT=3.416108e-05 < 6.250000e-03 [42]\n", + "--- Max DT=3.105474e-01 > 1.000000e-01 [69878]\n", "----------------------------------------------------------------------\n", - " Component | low: 54/100000\n", - " Component | high: 69933/100000\n", + " Component | low: 42/100000\n", + " Component | high: 69878/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=28.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000955036 [ 0.57 %]\n", - "Velocity : 0.00358116 [ 2.13 %]\n", - "Force : 0.0565614 [ 33.62 %]\n", - "Coefs : 0.0271002 [ 16.11 %]\n", - "Output : 0.00156967 [ 0.93 %]\n", - "Levels : 0.000482408 [ 0.29 %]\n", - "Report : 7.75e-07 [ 0.00 %]\n", - "Balance : 4.05e-07 [ 0.00 %]\n", - "Adjust : 0.0779281 [ 46.32 %]\n", - "Total : 0.16823 [100.00 %]\n", + "Drift : 0.000525313 [ 0.44 %]\n", + "Velocity : 0.00422683 [ 3.53 %]\n", + "Force : 0.0399705 [ 33.35 %]\n", + "Coefs : 0.0152784 [ 12.75 %]\n", + "Output : 0.00169143 [ 1.41 %]\n", + "Levels : 0.000284585 [ 0.24 %]\n", + "Report : 5.03e-07 [ 0.00 %]\n", + "Balance : 4.11e-07 [ 0.00 %]\n", + "Adjust : 0.0578306 [ 48.25 %]\n", + "Total : 0.119862 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6447 549 129 7 10 \n", - "1 : 6420 590 116 8 8 \n", - "2 : 6424 573 132 8 5 \n", - "3 : 6476 541 107 13 5 \n", - "4 : 6433 573 117 12 7 \n", - "5 : 6431 578 115 10 8 \n", - "6 : 6423 572 131 11 5 \n", - "7 : 6398 598 126 10 10 \n", - "8 : 6471 543 114 7 7 \n", - "9 : 6435 556 131 15 5 \n", - "10 : 6448 554 115 13 12 \n", - "11 : 6395 609 123 7 8 \n", - "12 : 6440 563 124 7 8 \n", - "13 : 6423 590 129 6 6 \n", + "0 : 6445 557 122 13 5 \n", + "1 : 6456 569 100 11 6 \n", + "2 : 6454 530 134 15 9 \n", + "3 : 6487 519 117 13 6 \n", + "4 : 6448 551 119 13 11 \n", + "5 : 6475 537 111 8 11 \n", + "6 : 6430 562 135 10 5 \n", + "7 : 6442 562 122 9 7 \n", + "8 : 6474 547 99 19 3 \n", + "9 : 6489 523 118 6 6 \n", + "10 : 6438 568 117 13 6 \n", + "11 : 6448 559 120 9 6 \n", + "12 : 6442 561 123 12 4 \n", + "13 : 6533 494 110 13 4 \n", "\n", - "T : 90064 7989 1709 134 104 [100000]\n", + "T : 90461 7639 1647 164 89 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.0%\n", - "--- Adj/Tot = 0.7%\n", - "--- Update = 1.2287e-02 sec\n", - "--- Collate = 5.1072e-05 sec\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.9820e-03 sec\n", + "--- Collate = 7.9539e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.615015e-06 < 6.250000e-03 [60]\n", - "--- Max DT=3.053290e-01 > 1.000000e-01 [69909]\n", + "--- Min DT=4.646915e-05 < 6.250000e-03 [48]\n", + "--- Max DT=3.105896e-01 > 1.000000e-01 [69853]\n", "----------------------------------------------------------------------\n", - " Component | low: 60/100000\n", - " Component | high: 69909/100000\n", + " Component | low: 48/100000\n", + " Component | high: 69853/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=28.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0010432 [ 0.58 %]\n", - "Velocity : 0.00316909 [ 1.77 %]\n", - "Force : 0.0638933 [ 35.77 %]\n", - "Coefs : 0.022637 [ 12.67 %]\n", - "Output : 0.00162685 [ 0.91 %]\n", - "Levels : 0.000260777 [ 0.15 %]\n", - "Report : 6.41e-07 [ 0.00 %]\n", - "Balance : 3.65e-07 [ 0.00 %]\n", - "Adjust : 0.0859458 [ 48.11 %]\n", - "Total : 0.178635 [100.00 %]\n", + "Drift : 0.00108069 [ 0.91 %]\n", + "Velocity : 0.00291818 [ 2.47 %]\n", + "Force : 0.040002 [ 33.84 %]\n", + "Coefs : 0.0156739 [ 13.26 %]\n", + "Output : 0.00163029 [ 1.38 %]\n", + "Levels : 0.00025901 [ 0.22 %]\n", + "Report : 4.93e-07 [ 0.00 %]\n", + "Balance : 3.7e-07 [ 0.00 %]\n", + "Adjust : 0.0566011 [ 47.88 %]\n", + "Total : 0.118214 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6447 552 127 7 9 \n", - "1 : 6419 592 116 6 9 \n", - "2 : 6423 577 128 9 5 \n", - "3 : 6474 539 111 12 6 \n", - "4 : 6430 576 119 11 6 \n", - "5 : 6427 583 112 12 8 \n", - "6 : 6421 577 128 12 4 \n", - "7 : 6393 602 125 13 9 \n", - "8 : 6466 550 111 8 7 \n", - "9 : 6433 556 133 12 8 \n", - "10 : 6439 560 119 14 10 \n", - "11 : 6395 607 125 7 8 \n", - "12 : 6437 565 126 8 6 \n", - "13 : 6421 593 128 6 6 \n", + "0 : 6448 550 127 11 6 \n", + "1 : 6462 559 102 13 6 \n", + "2 : 6457 524 138 13 10 \n", + "3 : 6487 515 121 13 6 \n", + "4 : 6446 554 119 11 12 \n", + "5 : 6470 540 113 9 10 \n", + "6 : 6432 564 132 8 6 \n", + "7 : 6443 558 125 8 8 \n", + "8 : 6466 554 98 21 3 \n", + "9 : 6478 531 119 9 5 \n", + "10 : 6440 563 120 10 9 \n", + "11 : 6445 561 121 8 7 \n", + "12 : 6447 552 130 9 4 \n", + "13 : 6534 488 115 9 8 \n", "\n", - "T : 90025 8029 1708 137 101 [100000]\n", + "T : 90455 7613 1680 152 100 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.7%\n", - "--- Adj/Tot = 0.7%\n", - "--- Update = 1.1010e-02 sec\n", - "--- Collate = 4.9101e-05 sec\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.1582e-03 sec\n", + "--- Collate = 7.0853e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.083748e-06 < 6.250000e-03 [66]\n", - "--- Max DT=3.053404e-01 > 1.000000e-01 [69889]\n", + "--- Min DT=1.382958e-05 < 6.250000e-03 [51]\n", + "--- Max DT=3.106313e-01 > 1.000000e-01 [69810]\n", "----------------------------------------------------------------------\n", - " Component | low: 66/100000\n", - " Component | high: 69889/100000\n", + " Component | low: 51/100000\n", + " Component | high: 69810/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=28.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00113385 [ 0.71 %]\n", - "Velocity : 0.00269105 [ 1.68 %]\n", - "Force : 0.0593995 [ 36.98 %]\n", - "Coefs : 0.0208592 [ 12.98 %]\n", - "Output : 0.00155444 [ 0.97 %]\n", - "Levels : 0.000212155 [ 0.13 %]\n", - "Report : 5.74e-07 [ 0.00 %]\n", - "Balance : 3.19e-07 [ 0.00 %]\n", - "Adjust : 0.0747466 [ 46.53 %]\n", - "Total : 0.160647 [100.00 %]\n", + "Drift : 0.00108379 [ 0.93 %]\n", + "Velocity : 0.00291301 [ 2.49 %]\n", + "Force : 0.0399829 [ 34.14 %]\n", + "Coefs : 0.0156 [ 13.32 %]\n", + "Output : 0.0016351 [ 1.40 %]\n", + "Levels : 0.00026459 [ 0.23 %]\n", + "Report : 4.46e-07 [ 0.00 %]\n", + "Balance : 3.33e-07 [ 0.00 %]\n", + "Adjust : 0.0555884 [ 47.46 %]\n", + "Total : 0.11712 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6441 560 125 8 8 \n", - "1 : 6413 599 115 7 8 \n", - "2 : 6422 580 127 6 7 \n", - "3 : 6474 541 107 14 6 \n", - "4 : 6424 581 117 13 7 \n", - "5 : 6427 585 110 13 7 \n", - "6 : 6424 572 127 16 3 \n", - "7 : 6392 607 122 12 9 \n", - "8 : 6463 551 113 9 6 \n", - "9 : 6428 560 137 10 7 \n", - "10 : 6436 565 119 13 9 \n", - "11 : 6388 615 123 9 7 \n", - "12 : 6435 567 126 8 6 \n", - "13 : 6418 599 124 6 7 \n", + "0 : 6445 550 131 10 6 \n", + "1 : 6457 561 106 11 7 \n", + "2 : 6457 522 139 12 12 \n", + "3 : 6487 513 122 14 6 \n", + "4 : 6443 556 119 13 11 \n", + "5 : 6464 546 114 10 8 \n", + "6 : 6423 570 133 9 7 \n", + "7 : 6437 563 125 10 7 \n", + "8 : 6463 554 101 21 3 \n", + "9 : 6480 527 120 9 6 \n", + "10 : 6437 569 115 14 7 \n", + "11 : 6445 561 119 11 6 \n", + "12 : 6445 555 129 11 2 \n", + "13 : 6528 490 118 11 7 \n", "\n", - "T : 89985 8082 1692 144 97 [100000]\n", + "T : 90411 7637 1691 166 95 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.3%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.9612e-02 sec\n", - "--- Collate = 8.6390e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.9804e-03 sec\n", + "--- Collate = 7.1011e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.503169e-06 < 6.250000e-03 [64]\n", - "--- Max DT=3.053530e-01 > 1.000000e-01 [69882]\n", + "--- Min DT=1.272208e-06 < 6.250000e-03 [55]\n", + "--- Max DT=3.106718e-01 > 1.000000e-01 [69775]\n", "----------------------------------------------------------------------\n", - " Component | low: 64/100000\n", - " Component | high: 69882/100000\n", + " Component | low: 55/100000\n", + " Component | high: 69775/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=28.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0008228 [ 0.51 %]\n", - "Velocity : 0.00290315 [ 1.79 %]\n", - "Force : 0.0607011 [ 37.35 %]\n", - "Coefs : 0.0178858 [ 11.01 %]\n", - "Output : 0.00151679 [ 0.93 %]\n", - "Levels : 0.000253016 [ 0.16 %]\n", - "Report : 6.52e-07 [ 0.00 %]\n", - "Balance : 3.19e-07 [ 0.00 %]\n", - "Adjust : 0.0783655 [ 48.22 %]\n", - "Total : 0.162501 [100.00 %]\n", + "Drift : 0.00106925 [ 0.92 %]\n", + "Velocity : 0.00276103 [ 2.37 %]\n", + "Force : 0.0400203 [ 34.29 %]\n", + "Coefs : 0.015541 [ 13.32 %]\n", + "Output : 0.00158957 [ 1.36 %]\n", + "Levels : 0.000251145 [ 0.22 %]\n", + "Report : 4.65e-07 [ 0.00 %]\n", + "Balance : 3.8e-07 [ 0.00 %]\n", + "Adjust : 0.0554286 [ 47.49 %]\n", + "Total : 0.116714 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6439 564 120 11 8 \n", - "1 : 6414 596 119 6 7 \n", - "2 : 6423 579 128 5 7 \n", - "3 : 6469 551 103 15 4 \n", - "4 : 6425 584 114 12 7 \n", - "5 : 6425 587 112 12 6 \n", - "6 : 6420 577 125 15 5 \n", - "7 : 6395 602 125 10 10 \n", - "8 : 6458 560 112 5 7 \n", - "9 : 6431 556 138 10 7 \n", - "10 : 6429 574 118 10 11 \n", - "11 : 6392 612 121 11 6 \n", - "12 : 6431 567 129 10 5 \n", - "13 : 6411 603 127 6 7 \n", + "0 : 6444 551 132 9 6 \n", + "1 : 6453 567 103 11 8 \n", + "2 : 6450 528 142 12 10 \n", + "3 : 6480 518 125 11 8 \n", + "4 : 6442 559 116 15 10 \n", + "5 : 6460 550 116 7 9 \n", + "6 : 6423 575 128 9 7 \n", + "7 : 6434 565 124 13 6 \n", + "8 : 6456 564 99 21 2 \n", + "9 : 6480 524 122 10 6 \n", + "10 : 6434 572 113 17 6 \n", + "11 : 6444 564 117 9 8 \n", + "12 : 6446 551 132 9 4 \n", + "13 : 6524 489 121 14 6 \n", "\n", - "T : 89962 8112 1691 138 97 [100000]\n", + "T : 90370 7677 1690 167 96 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.5%\n", - "--- Adj/Tot = 0.7%\n", - "--- Update = 1.9097e-02 sec\n", - "--- Collate = 8.4252e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.0041e-03 sec\n", + "--- Collate = 8.0490e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.042385e-05 < 6.250000e-03 [54]\n", - "--- Max DT=3.053644e-01 > 1.000000e-01 [69858]\n", + "--- Min DT=4.701342e-05 < 6.250000e-03 [53]\n", + "--- Max DT=3.107103e-01 > 1.000000e-01 [69775]\n", "----------------------------------------------------------------------\n", - " Component | low: 54/100000\n", - " Component | high: 69858/100000\n", + " Component | low: 53/100000\n", + " Component | high: 69775/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=28.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000855693 [ 0.55 %]\n", - "Velocity : 0.00209999 [ 1.34 %]\n", - "Force : 0.0491683 [ 31.43 %]\n", - "Coefs : 0.0196078 [ 12.53 %]\n", - "Output : 0.00163208 [ 1.04 %]\n", - "Levels : 0.000280219 [ 0.18 %]\n", - "Report : 6.83e-07 [ 0.00 %]\n", - "Balance : 3.79e-07 [ 0.00 %]\n", - "Adjust : 0.0827599 [ 52.90 %]\n", - "Total : 0.156456 [100.00 %]\n", + "Drift : 0.00107543 [ 0.90 %]\n", + "Velocity : 0.00285592 [ 2.40 %]\n", + "Force : 0.0406647 [ 34.21 %]\n", + "Coefs : 0.0157175 [ 13.22 %]\n", + "Output : 0.00163653 [ 1.38 %]\n", + "Levels : 0.000253446 [ 0.21 %]\n", + "Report : 5.19e-07 [ 0.00 %]\n", + "Balance : 3.34e-07 [ 0.00 %]\n", + "Adjust : 0.0565985 [ 47.62 %]\n", + "Total : 0.118856 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6443 559 121 12 7 \n", - "1 : 6411 600 115 7 9 \n", - "2 : 6421 580 128 6 7 \n", - "3 : 6470 550 101 18 3 \n", - "4 : 6428 581 114 13 6 \n", - "5 : 6429 583 112 11 7 \n", - "6 : 6422 577 124 13 6 \n", - "7 : 6395 605 121 11 10 \n", - "8 : 6453 566 111 5 7 \n", - "9 : 6428 558 137 12 7 \n", - "10 : 6425 576 120 10 11 \n", - "11 : 6398 607 123 8 6 \n", - "12 : 6431 569 128 7 7 \n", - "13 : 6411 601 127 8 7 \n", + "0 : 6450 545 130 11 6 \n", + "1 : 6450 566 107 10 9 \n", + "2 : 6451 521 147 12 11 \n", + "3 : 6481 515 123 15 8 \n", + "4 : 6444 553 120 15 10 \n", + "5 : 6458 551 117 7 9 \n", + "6 : 6422 576 125 14 5 \n", + "7 : 6427 575 121 14 5 \n", + "8 : 6451 567 101 20 3 \n", + "9 : 6475 531 119 12 5 \n", + "10 : 6433 570 116 19 4 \n", + "11 : 6434 567 123 11 7 \n", + "12 : 6449 553 127 8 5 \n", + "13 : 6511 501 122 15 5 \n", "\n", - "T : 89965 8112 1682 141 100 [100000]\n", + "T : 90336 7691 1698 183 92 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.4%\n", + "--- Coef/DT = 2.0%\n", "--- Adj/Tot = 0.7%\n", - "--- Update = 1.2089e-02 sec\n", - "--- Collate = 6.8782e-05 sec\n", + "--- Update = 9.2100e-03 sec\n", + "--- Collate = 8.1872e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.176870e-05 < 6.250000e-03 [46]\n", - "--- Max DT=3.053775e-01 > 1.000000e-01 [69800]\n", + "--- Min DT=2.492901e-04 < 6.250000e-03 [55]\n", + "--- Max DT=3.107466e-01 > 1.000000e-01 [69758]\n", "----------------------------------------------------------------------\n", - " Component | low: 46/100000\n", - " Component | high: 69800/100000\n", + " Component | low: 55/100000\n", + " Component | high: 69758/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=28.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00158074 [ 0.91 %]\n", - "Velocity : 0.00306646 [ 1.76 %]\n", - "Force : 0.0614021 [ 35.16 %]\n", - "Coefs : 0.0321551 [ 18.41 %]\n", - "Output : 0.00168061 [ 0.96 %]\n", - "Levels : 0.000318548 [ 0.18 %]\n", - "Report : 9.31e-07 [ 0.00 %]\n", - "Balance : 3.63e-07 [ 0.00 %]\n", - "Adjust : 0.0743579 [ 42.58 %]\n", - "Total : 0.174619 [100.00 %]\n", + "Drift : 0.00107373 [ 0.92 %]\n", + "Velocity : 0.00287707 [ 2.46 %]\n", + "Force : 0.0399749 [ 34.23 %]\n", + "Coefs : 0.0154723 [ 13.25 %]\n", + "Output : 0.00167443 [ 1.43 %]\n", + "Levels : 0.000323961 [ 0.28 %]\n", + "Report : 7.36e-07 [ 0.00 %]\n", + "Balance : 3.83e-07 [ 0.00 %]\n", + "Adjust : 0.0553391 [ 47.38 %]\n", + "Total : 0.116788 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6439 563 119 16 5 \n", - "1 : 6412 601 112 5 12 \n", - "2 : 6417 583 129 7 6 \n", - "3 : 6466 555 101 15 5 \n", - "4 : 6431 577 115 13 6 \n", - "5 : 6429 585 110 13 5 \n", - "6 : 6422 582 120 9 9 \n", - "7 : 6394 603 124 10 11 \n", - "8 : 6446 572 113 6 5 \n", - "9 : 6432 554 137 15 4 \n", - "10 : 6426 575 120 11 10 \n", - "11 : 6396 607 124 9 6 \n", - "12 : 6424 578 126 9 5 \n", - "13 : 6414 597 128 11 4 \n", + "0 : 6448 547 126 16 5 \n", + "1 : 6442 574 106 9 11 \n", + "2 : 6450 526 144 11 11 \n", + "3 : 6478 516 126 13 9 \n", + "4 : 6445 552 121 15 9 \n", + "5 : 6457 551 116 9 9 \n", + "6 : 6419 580 118 18 7 \n", + "7 : 6419 586 118 13 6 \n", + "8 : 6447 569 106 16 4 \n", + "9 : 6474 532 117 14 5 \n", + "10 : 6433 571 115 18 5 \n", + "11 : 6431 571 121 14 5 \n", + "12 : 6445 554 129 9 5 \n", + "13 : 6511 499 122 15 7 \n", "\n", - "T : 89948 8132 1678 149 93 [100000]\n", + "T : 90299 7728 1685 190 98 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.7%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 2.1732e-02 sec\n", - "--- Collate = 7.9498e-05 sec\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.4859e-03 sec\n", + "--- Collate = 7.4864e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.400006e-05 < 6.250000e-03 [44]\n", - "--- Max DT=3.053883e-01 > 1.000000e-01 [69774]\n", + "--- Min DT=4.712538e-05 < 6.250000e-03 [57]\n", + "--- Max DT=3.107820e-01 > 1.000000e-01 [69733]\n", "----------------------------------------------------------------------\n", - " Component | low: 44/100000\n", - " Component | high: 69774/100000\n", + " Component | low: 57/100000\n", + " Component | high: 69733/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=28.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000814404 [ 0.46 %]\n", - "Velocity : 0.00304291 [ 1.71 %]\n", - "Force : 0.0569115 [ 32.02 %]\n", - "Coefs : 0.0228079 [ 12.83 %]\n", - "Output : 0.00163741 [ 0.92 %]\n", - "Levels : 0.000344711 [ 0.19 %]\n", - "Report : 9.58e-07 [ 0.00 %]\n", - "Balance : 4.37e-07 [ 0.00 %]\n", - "Adjust : 0.0921477 [ 51.84 %]\n", - "Total : 0.177763 [100.00 %]\n", + "Drift : 0.00108259 [ 0.93 %]\n", + "Velocity : 0.00289663 [ 2.48 %]\n", + "Force : 0.0402377 [ 34.40 %]\n", + "Coefs : 0.01549 [ 13.24 %]\n", + "Output : 0.00166139 [ 1.42 %]\n", + "Levels : 0.000245249 [ 0.21 %]\n", + "Report : 4.47e-07 [ 0.00 %]\n", + "Balance : 3.64e-07 [ 0.00 %]\n", + "Adjust : 0.0552966 [ 47.28 %]\n", + "Total : 0.116964 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6437 564 118 17 6 \n", - "1 : 6413 599 114 6 10 \n", - "2 : 6415 582 132 7 6 \n", - "3 : 6467 553 103 12 7 \n", - "4 : 6436 575 113 13 5 \n", - "5 : 6425 588 111 12 6 \n", - "6 : 6415 590 121 7 9 \n", - "7 : 6389 611 121 12 9 \n", - "8 : 6440 579 110 7 6 \n", - "9 : 6424 565 134 15 4 \n", - "10 : 6425 580 118 9 10 \n", - "11 : 6392 610 125 12 3 \n", - "12 : 6424 578 125 10 5 \n", - "13 : 6409 606 126 10 3 \n", + "0 : 6444 555 123 16 4 \n", + "1 : 6446 570 106 11 9 \n", + "2 : 6447 527 148 8 12 \n", + "3 : 6479 516 125 14 8 \n", + "4 : 6440 557 119 17 9 \n", + "5 : 6453 554 117 10 8 \n", + "6 : 6418 573 126 18 7 \n", + "7 : 6417 586 119 12 8 \n", + "8 : 6443 572 107 16 4 \n", + "9 : 6472 532 120 12 6 \n", + "10 : 6429 575 114 18 6 \n", + "11 : 6430 574 118 15 5 \n", + "12 : 6445 556 125 10 6 \n", + "13 : 6514 502 114 15 9 \n", "\n", - "T : 89911 8180 1671 149 89 [100000]\n", + "T : 90277 7749 1681 192 101 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 0.7%\n", - "--- Update = 1.1743e-02 sec\n", - "--- Collate = 7.0966e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.0638e-03 sec\n", + "--- Collate = 7.6197e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.328014e-05 < 6.250000e-03 [53]\n", - "--- Max DT=3.054014e-01 > 1.000000e-01 [69755]\n", + "--- Min DT=5.239253e-05 < 6.250000e-03 [45]\n", + "--- Max DT=3.108162e-01 > 1.000000e-01 [69703]\n", "----------------------------------------------------------------------\n", - " Component | low: 53/100000\n", - " Component | high: 69755/100000\n", + " Component | low: 45/100000\n", + " Component | high: 69703/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=28.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00104543 [ 0.62 %]\n", - "Velocity : 0.00302237 [ 1.80 %]\n", - "Force : 0.0558099 [ 33.28 %]\n", - "Coefs : 0.0308077 [ 18.37 %]\n", - "Output : 0.00147196 [ 0.88 %]\n", - "Levels : 0.00030246 [ 0.18 %]\n", - "Report : 6.28e-07 [ 0.00 %]\n", - "Balance : 3.91e-07 [ 0.00 %]\n", - "Adjust : 0.0751635 [ 44.83 %]\n", - "Total : 0.167679 [100.00 %]\n", + "Drift : 0.00106967 [ 0.92 %]\n", + "Velocity : 0.00283766 [ 2.43 %]\n", + "Force : 0.0402221 [ 34.43 %]\n", + "Coefs : 0.0154244 [ 13.20 %]\n", + "Output : 0.0015976 [ 1.37 %]\n", + "Levels : 0.000249279 [ 0.21 %]\n", + "Report : 5.21e-07 [ 0.00 %]\n", + "Balance : 3.73e-07 [ 0.00 %]\n", + "Adjust : 0.0553785 [ 47.40 %]\n", + "Total : 0.116829 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6434 563 123 15 7 \n", - "1 : 6415 597 113 8 9 \n", - "2 : 6420 581 127 8 6 \n", - "3 : 6472 548 103 12 7 \n", - "4 : 6432 576 117 12 5 \n", - "5 : 6419 598 106 14 5 \n", - "6 : 6424 577 125 7 9 \n", - "7 : 6381 620 120 14 7 \n", - "8 : 6438 579 111 8 6 \n", - "9 : 6425 562 131 20 4 \n", - "10 : 6427 577 118 10 10 \n", - "11 : 6390 615 122 11 4 \n", - "12 : 6422 586 119 8 7 \n", - "13 : 6410 604 128 8 4 \n", + "0 : 6445 555 122 16 4 \n", + "1 : 6450 564 109 11 8 \n", + "2 : 6445 530 145 12 10 \n", + "3 : 6478 517 125 13 9 \n", + "4 : 6437 558 122 16 9 \n", + "5 : 6452 559 111 12 8 \n", + "6 : 6416 574 122 23 7 \n", + "7 : 6417 580 125 12 8 \n", + "8 : 6440 573 108 17 4 \n", + "9 : 6467 539 116 14 6 \n", + "10 : 6431 574 112 17 8 \n", + "11 : 6434 575 113 14 6 \n", + "12 : 6446 557 121 13 5 \n", + "13 : 6517 496 116 15 10 \n", "\n", - "T : 89909 8183 1663 155 90 [100000]\n", + "T : 90275 7751 1667 205 102 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.2%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.0748e-02 sec\n", - "--- Collate = 7.1198e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.0816e-03 sec\n", + "--- Collate = 7.5741e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.395448e-05 < 6.250000e-03 [46]\n", - "--- Max DT=3.054122e-01 > 1.000000e-01 [69739]\n", + "--- Min DT=3.041456e-05 < 6.250000e-03 [42]\n", + "--- Max DT=3.108484e-01 > 1.000000e-01 [69646]\n", "----------------------------------------------------------------------\n", - " Component | low: 46/100000\n", - " Component | high: 69739/100000\n", + " Component | low: 42/100000\n", + " Component | high: 69646/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=28.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000955238 [ 0.62 %]\n", - "Velocity : 0.00343866 [ 2.24 %]\n", - "Force : 0.0556726 [ 36.31 %]\n", - "Coefs : 0.0274014 [ 17.87 %]\n", - "Output : 0.00143635 [ 0.94 %]\n", - "Levels : 0.000284849 [ 0.19 %]\n", - "Report : 6.45e-07 [ 0.00 %]\n", - "Balance : 2.98e-07 [ 0.00 %]\n", - "Adjust : 0.0640733 [ 41.79 %]\n", - "Total : 0.153317 [100.00 %]\n", + "Drift : 0.00106955 [ 0.92 %]\n", + "Velocity : 0.0026882 [ 2.31 %]\n", + "Force : 0.0401646 [ 34.57 %]\n", + "Coefs : 0.0156048 [ 13.43 %]\n", + "Output : 0.00176771 [ 1.52 %]\n", + "Levels : 0.000250331 [ 0.22 %]\n", + "Report : 4.89e-07 [ 0.00 %]\n", + "Balance : 3.74e-07 [ 0.00 %]\n", + "Adjust : 0.0545718 [ 46.98 %]\n", + "Total : 0.11617 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6432 564 124 15 7 \n", - "1 : 6412 597 116 7 10 \n", - "2 : 6426 574 127 10 5 \n", - "3 : 6470 546 107 10 9 \n", - "4 : 6431 577 116 14 4 \n", - "5 : 6416 597 111 12 6 \n", - "6 : 6417 583 126 7 9 \n", - "7 : 6383 619 120 11 9 \n", - "8 : 6434 587 106 10 5 \n", - "9 : 6426 562 133 17 4 \n", - "10 : 6420 582 119 11 10 \n", - "11 : 6388 614 124 12 4 \n", - "12 : 6422 582 123 8 7 \n", - "13 : 6412 601 129 10 2 \n", + "0 : 6446 553 123 15 5 \n", + "1 : 6441 573 109 11 8 \n", + "2 : 6441 537 142 13 9 \n", + "3 : 6478 515 122 17 10 \n", + "4 : 6434 561 122 19 6 \n", + "5 : 6446 562 114 12 8 \n", + "6 : 6411 579 122 22 8 \n", + "7 : 6419 585 117 15 6 \n", + "8 : 6431 580 110 17 4 \n", + "9 : 6461 546 113 16 6 \n", + "10 : 6429 577 113 16 7 \n", + "11 : 6426 584 113 14 5 \n", + "12 : 6444 558 122 12 6 \n", + "13 : 6514 500 116 14 10 \n", "\n", - "T : 89889 8185 1681 154 91 [100000]\n", + "T : 90221 7810 1658 213 98 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.5%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.1066e-02 sec\n", - "--- Collate = 6.9302e-05 sec\n", + "--- Coef/DT = 2.1%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.1574e-03 sec\n", + "--- Collate = 7.6616e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.573525e-05 < 6.250000e-03 [45]\n", - "--- Max DT=3.054219e-01 > 1.000000e-01 [69729]\n", + "--- Min DT=1.846777e-04 < 6.250000e-03 [44]\n", + "--- Max DT=3.108790e-01 > 1.000000e-01 [69610]\n", "----------------------------------------------------------------------\n", - " Component | low: 45/100000\n", - " Component | high: 69729/100000\n", + " Component | low: 44/100000\n", + " Component | high: 69610/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=29] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000922332 [ 0.56 %]\n", - "Velocity : 0.00286339 [ 1.75 %]\n", - "Force : 0.0545144 [ 33.29 %]\n", - "Coefs : 0.0247282 [ 15.10 %]\n", - "Output : 0.00750487 [ 4.58 %]\n", - "Levels : 0.000280464 [ 0.17 %]\n", - "Report : 1.229e-06 [ 0.00 %]\n", - "Balance : 7.9e-07 [ 0.00 %]\n", - "Adjust : 0.0728936 [ 44.51 %]\n", - "Total : 0.163762 [100.00 %]\n", + "Drift : 0.00110009 [ 0.90 %]\n", + "Velocity : 0.00282747 [ 2.31 %]\n", + "Force : 0.0401031 [ 32.71 %]\n", + "Coefs : 0.0156104 [ 12.73 %]\n", + "Output : 0.00661061 [ 5.39 %]\n", + "Levels : 0.000303254 [ 0.25 %]\n", + "Report : 1.269e-06 [ 0.00 %]\n", + "Balance : 4.74e-07 [ 0.00 %]\n", + "Adjust : 0.0559999 [ 45.67 %]\n", + "Total : 0.122608 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6432 564 125 14 7 \n", - "1 : 6405 605 114 9 9 \n", - "2 : 6426 576 126 10 4 \n", - "3 : 6469 546 110 10 7 \n", - "4 : 6429 578 117 11 7 \n", - "5 : 6410 595 121 9 7 \n", - "6 : 6420 581 127 5 9 \n", - "7 : 6387 614 122 10 9 \n", - "8 : 6426 594 107 10 5 \n", - "9 : 6428 562 128 15 9 \n", - "10 : 6419 583 119 12 9 \n", - "11 : 6387 615 125 12 3 \n", - "12 : 6418 588 122 7 7 \n", - "13 : 6409 603 130 8 4 \n", + "0 : 6442 557 122 16 5 \n", + "1 : 6442 571 111 10 8 \n", + "2 : 6431 546 143 16 6 \n", + "3 : 6472 520 125 15 10 \n", + "4 : 6426 572 119 20 5 \n", + "5 : 6438 572 109 14 9 \n", + "6 : 6412 578 121 22 9 \n", + "7 : 6414 591 116 16 5 \n", + "8 : 6431 581 107 20 3 \n", + "9 : 6461 547 114 15 5 \n", + "10 : 6426 579 113 16 8 \n", + "11 : 6430 580 112 14 6 \n", + "12 : 6438 561 124 14 5 \n", + "13 : 6509 505 118 14 8 \n", "\n", - "T : 89865 8204 1693 142 96 [100000]\n", + "T : 90172 7860 1654 222 92 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.4%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.1796e-02 sec\n", - "--- Collate = 5.8135e-05 sec\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.0544e-03 sec\n", + "--- Collate = 7.4920e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.164517e-06 < 6.250000e-03 [49]\n", - "--- Max DT=3.054315e-01 > 1.000000e-01 [69715]\n", + "--- Min DT=1.481746e-04 < 6.250000e-03 [47]\n", + "--- Max DT=3.109083e-01 > 1.000000e-01 [69579]\n", "----------------------------------------------------------------------\n", - " Component | low: 49/100000\n", - " Component | high: 69715/100000\n", + " Component | low: 47/100000\n", + " Component | high: 69579/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=29.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00130901 [ 0.85 %]\n", - "Velocity : 0.00308978 [ 2.00 %]\n", - "Force : 0.0505806 [ 32.80 %]\n", - "Coefs : 0.0297611 [ 19.30 %]\n", - "Output : 0.00158178 [ 1.03 %]\n", - "Levels : 0.000238754 [ 0.15 %]\n", - "Report : 6.57e-07 [ 0.00 %]\n", - "Balance : 3.95e-07 [ 0.00 %]\n", - "Adjust : 0.0675761 [ 43.83 %]\n", - "Total : 0.154195 [100.00 %]\n", + "Drift : 0.00107455 [ 0.92 %]\n", + "Velocity : 0.00289458 [ 2.48 %]\n", + "Force : 0.0399594 [ 34.21 %]\n", + "Coefs : 0.015489 [ 13.26 %]\n", + "Output : 0.00167815 [ 1.44 %]\n", + "Levels : 0.000292694 [ 0.25 %]\n", + "Report : 8.79e-07 [ 0.00 %]\n", + "Balance : 3.85e-07 [ 0.00 %]\n", + "Adjust : 0.0553625 [ 47.40 %]\n", + "Total : 0.116802 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6431 560 132 12 7 \n", - "1 : 6399 608 115 13 7 \n", - "2 : 6418 588 123 10 3 \n", - "3 : 6463 554 107 11 7 \n", - "4 : 6427 583 112 12 8 \n", - "5 : 6406 597 122 11 6 \n", - "6 : 6417 585 127 3 10 \n", - "7 : 6388 616 119 7 12 \n", - "8 : 6419 597 110 9 7 \n", - "9 : 6429 563 127 16 7 \n", - "10 : 6417 584 119 13 9 \n", - "11 : 6385 618 124 7 8 \n", - "12 : 6413 594 121 7 7 \n", - "13 : 6406 612 124 8 4 \n", + "0 : 6439 560 122 16 5 \n", + "1 : 6440 570 113 12 7 \n", + "2 : 6434 543 142 16 7 \n", + "3 : 6473 520 124 16 9 \n", + "4 : 6426 571 119 21 5 \n", + "5 : 6442 569 108 17 6 \n", + "6 : 6407 585 118 21 11 \n", + "7 : 6413 589 120 16 4 \n", + "8 : 6436 575 110 17 4 \n", + "9 : 6454 560 106 17 5 \n", + "10 : 6424 582 114 14 8 \n", + "11 : 6427 584 108 16 7 \n", + "12 : 6443 560 121 14 4 \n", + "13 : 6503 509 121 10 11 \n", "\n", - "T : 89818 8259 1682 139 102 [100000]\n", + "T : 90161 7877 1646 223 93 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.0%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.0876e-02 sec\n", - "--- Collate = 6.4320e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.9817e-03 sec\n", + "--- Collate = 6.9670e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.724138e-05 < 6.250000e-03 [51]\n", - "--- Max DT=3.054418e-01 > 1.000000e-01 [69723]\n", + "--- Min DT=1.732399e-05 < 6.250000e-03 [49]\n", + "--- Max DT=3.109356e-01 > 1.000000e-01 [69516]\n", "----------------------------------------------------------------------\n", - " Component | low: 51/100000\n", - " Component | high: 69723/100000\n", + " Component | low: 49/100000\n", + " Component | high: 69516/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=29.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00113362 [ 0.76 %]\n", - "Velocity : 0.00286294 [ 1.92 %]\n", - "Force : 0.0545108 [ 36.61 %]\n", - "Coefs : 0.0204709 [ 13.75 %]\n", - "Output : 0.00179502 [ 1.21 %]\n", - "Levels : 0.000213021 [ 0.14 %]\n", - "Report : 5.31e-07 [ 0.00 %]\n", - "Balance : 3.6e-07 [ 0.00 %]\n", - "Adjust : 0.067849 [ 45.57 %]\n", - "Total : 0.14889 [100.00 %]\n", + "Drift : 0.00117166 [ 1.00 %]\n", + "Velocity : 0.00282827 [ 2.42 %]\n", + "Force : 0.040181 [ 34.39 %]\n", + "Coefs : 0.0155824 [ 13.34 %]\n", + "Output : 0.0016349 [ 1.40 %]\n", + "Levels : 0.000250636 [ 0.21 %]\n", + "Report : 8.99e-07 [ 0.00 %]\n", + "Balance : 3.65e-07 [ 0.00 %]\n", + "Adjust : 0.0551341 [ 47.19 %]\n", + "Total : 0.116834 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6428 561 136 10 7 \n", - "1 : 6394 612 117 11 8 \n", - "2 : 6416 588 126 8 4 \n", - "3 : 6464 551 111 9 7 \n", - "4 : 6425 588 109 13 7 \n", - "5 : 6408 593 123 11 7 \n", - "6 : 6417 587 124 5 9 \n", - "7 : 6390 613 121 4 14 \n", - "8 : 6417 599 108 11 7 \n", - "9 : 6421 572 125 17 7 \n", - "10 : 6417 584 121 11 9 \n", - "11 : 6384 616 128 7 7 \n", - "12 : 6412 596 121 7 6 \n", - "13 : 6401 615 126 8 4 \n", + "0 : 6438 556 130 12 6 \n", + "1 : 6438 572 111 13 8 \n", + "2 : 6428 546 145 14 9 \n", + "3 : 6470 523 124 15 10 \n", + "4 : 6426 568 123 19 6 \n", + "5 : 6441 569 109 18 5 \n", + "6 : 6403 587 120 20 12 \n", + "7 : 6415 584 126 11 6 \n", + "8 : 6439 572 110 17 4 \n", + "9 : 6447 568 106 14 7 \n", + "10 : 6419 587 112 16 8 \n", + "11 : 6425 583 111 16 7 \n", + "12 : 6447 557 120 13 5 \n", + "13 : 6500 511 122 12 9 \n", "\n", - "T : 89794 8275 1696 132 103 [100000]\n", + "T : 90136 7883 1669 210 102 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 2.2%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.1156e-02 sec\n", - "--- Collate = 7.5758e-05 sec\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.0358e-03 sec\n", + "--- Collate = 9.7191e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.108935e-06 < 6.250000e-03 [51]\n", - "--- Max DT=3.054525e-01 > 1.000000e-01 [69705]\n", + "--- Min DT=1.189589e-04 < 6.250000e-03 [49]\n", + "--- Max DT=3.109598e-01 > 1.000000e-01 [69492]\n", "----------------------------------------------------------------------\n", - " Component | low: 51/100000\n", - " Component | high: 69705/100000\n", + " Component | low: 49/100000\n", + " Component | high: 69492/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=29.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00117618 [ 0.80 %]\n", - "Velocity : 0.00264633 [ 1.80 %]\n", - "Force : 0.0508078 [ 34.47 %]\n", - "Coefs : 0.0201628 [ 13.68 %]\n", - "Output : 0.00169015 [ 1.15 %]\n", - "Levels : 0.000288934 [ 0.20 %]\n", - "Report : 8.5e-07 [ 0.00 %]\n", - "Balance : 3.49e-07 [ 0.00 %]\n", - "Adjust : 0.0705597 [ 47.87 %]\n", - "Total : 0.147388 [100.00 %]\n", + "Drift : 0.0010684 [ 0.91 %]\n", + "Velocity : 0.00280299 [ 2.38 %]\n", + "Force : 0.0405778 [ 34.50 %]\n", + "Coefs : 0.0154645 [ 13.15 %]\n", + "Output : 0.00160991 [ 1.37 %]\n", + "Levels : 0.000253037 [ 0.22 %]\n", + "Report : 6.16e-07 [ 0.00 %]\n", + "Balance : 4.18e-07 [ 0.00 %]\n", + "Adjust : 0.0557793 [ 47.43 %]\n", + "Total : 0.117609 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6422 567 136 10 7 \n", - "1 : 6392 614 118 9 9 \n", - "2 : 6424 580 124 9 5 \n", - "3 : 6465 550 112 7 8 \n", - "4 : 6418 595 105 18 6 \n", - "5 : 6408 593 125 9 7 \n", - "6 : 6414 588 124 9 7 \n", - "7 : 6383 618 122 6 13 \n", - "8 : 6418 600 107 10 7 \n", - "9 : 6422 571 126 16 7 \n", - "10 : 6419 581 122 13 7 \n", - "11 : 6386 614 126 9 7 \n", - "12 : 6413 593 124 8 4 \n", - "13 : 6401 614 129 5 5 \n", + "0 : 6439 557 128 10 8 \n", + "1 : 6435 574 112 13 8 \n", + "2 : 6420 554 145 13 10 \n", + "3 : 6458 536 123 16 9 \n", + "4 : 6426 567 124 19 6 \n", + "5 : 6432 577 110 16 7 \n", + "6 : 6400 592 119 20 11 \n", + "7 : 6414 585 126 10 7 \n", + "8 : 6438 571 112 16 5 \n", + "9 : 6439 578 103 15 7 \n", + "10 : 6424 581 112 16 9 \n", + "11 : 6420 586 111 18 7 \n", + "12 : 6441 559 124 14 4 \n", + "13 : 6500 511 121 14 8 \n", "\n", - "T : 89785 8278 1700 138 99 [100000]\n", + "T : 90086 7928 1670 210 106 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.2%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.1981e-02 sec\n", - "--- Collate = 1.1573e-04 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.5176e-03 sec\n", + "--- Collate = 8.7040e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.778897e-05 < 6.250000e-03 [47]\n", - "--- Max DT=3.054602e-01 > 1.000000e-01 [69663]\n", + "--- Min DT=6.227347e-05 < 6.250000e-03 [53]\n", + "--- Max DT=3.109844e-01 > 1.000000e-01 [69453]\n", "----------------------------------------------------------------------\n", - " Component | low: 47/100000\n", - " Component | high: 69663/100000\n", + " Component | low: 53/100000\n", + " Component | high: 69453/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=29.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000539604 [ 0.38 %]\n", - "Velocity : 0.00309293 [ 2.16 %]\n", - "Force : 0.0496839 [ 34.63 %]\n", - "Coefs : 0.0222023 [ 15.47 %]\n", - "Output : 0.00146057 [ 1.02 %]\n", - "Levels : 0.000276455 [ 0.19 %]\n", - "Report : 6.25e-07 [ 0.00 %]\n", - "Balance : 3.22e-07 [ 0.00 %]\n", - "Adjust : 0.0661777 [ 46.12 %]\n", - "Total : 0.143486 [100.00 %]\n", + "Drift : 0.00111177 [ 0.94 %]\n", + "Velocity : 0.00284232 [ 2.41 %]\n", + "Force : 0.0404392 [ 34.33 %]\n", + "Coefs : 0.0154828 [ 13.14 %]\n", + "Output : 0.00162389 [ 1.38 %]\n", + "Levels : 0.000286604 [ 0.24 %]\n", + "Report : 5.42e-07 [ 0.00 %]\n", + "Balance : 3.63e-07 [ 0.00 %]\n", + "Adjust : 0.0559545 [ 47.50 %]\n", + "Total : 0.117797 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6422 565 136 11 8 \n", - "1 : 6389 614 120 11 8 \n", - "2 : 6421 583 125 9 4 \n", - "3 : 6459 556 111 9 7 \n", - "4 : 6420 593 105 16 8 \n", - "5 : 6407 597 122 10 6 \n", - "6 : 6410 591 125 9 7 \n", - "7 : 6380 620 124 5 13 \n", - "8 : 6414 603 108 10 7 \n", - "9 : 6418 573 130 16 5 \n", - "10 : 6417 583 122 13 7 \n", - "11 : 6391 610 126 7 8 \n", - "12 : 6415 587 129 8 3 \n", - "13 : 6404 611 127 8 4 \n", + "0 : 6438 557 129 10 8 \n", + "1 : 6435 577 110 11 9 \n", + "2 : 6412 562 147 12 9 \n", + "3 : 6458 538 119 17 10 \n", + "4 : 6424 570 123 19 6 \n", + "5 : 6428 583 110 14 7 \n", + "6 : 6399 591 123 21 8 \n", + "7 : 6415 587 123 9 8 \n", + "8 : 6434 576 112 17 3 \n", + "9 : 6435 588 99 12 8 \n", + "10 : 6423 582 113 16 8 \n", + "11 : 6413 591 117 14 7 \n", + "12 : 6439 564 122 8 9 \n", + "13 : 6496 514 121 13 10 \n", "\n", - "T : 89767 8286 1710 142 95 [100000]\n", + "T : 90049 7980 1668 193 110 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.1%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.1760e-02 sec\n", - "--- Collate = 7.7396e-05 sec\n", + "--- Coef/DT = 2.2%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.1426e-03 sec\n", + "--- Collate = 7.6452e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.208053e-04 < 6.250000e-03 [49]\n", - "--- Max DT=3.054690e-01 > 1.000000e-01 [69640]\n", + "--- Min DT=2.111144e-04 < 6.250000e-03 [62]\n", + "--- Max DT=3.110055e-01 > 1.000000e-01 [69410]\n", "----------------------------------------------------------------------\n", - " Component | low: 49/100000\n", - " Component | high: 69640/100000\n", + " Component | low: 62/100000\n", + " Component | high: 69410/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=29.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000933823 [ 0.61 %]\n", - "Velocity : 0.00312837 [ 2.03 %]\n", - "Force : 0.0554746 [ 36.02 %]\n", - "Coefs : 0.0240104 [ 15.59 %]\n", - "Output : 0.00147908 [ 0.96 %]\n", - "Levels : 0.000292758 [ 0.19 %]\n", - "Report : 9.08e-07 [ 0.00 %]\n", - "Balance : 3.56e-07 [ 0.00 %]\n", - "Adjust : 0.0686198 [ 44.56 %]\n", - "Total : 0.153992 [100.00 %]\n", + "Drift : 0.00109078 [ 0.92 %]\n", + "Velocity : 0.00290834 [ 2.45 %]\n", + "Force : 0.0407509 [ 34.39 %]\n", + "Coefs : 0.015733 [ 13.28 %]\n", + "Output : 0.00163842 [ 1.38 %]\n", + "Levels : 0.000259552 [ 0.22 %]\n", + "Report : 4.63e-07 [ 0.00 %]\n", + "Balance : 3.61e-07 [ 0.00 %]\n", + "Adjust : 0.0560559 [ 47.31 %]\n", + "Total : 0.11849 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6417 569 139 9 8 \n", - "1 : 6387 613 123 13 6 \n", - "2 : 6416 590 123 8 5 \n", - "3 : 6461 555 110 9 7 \n", - "4 : 6415 599 104 14 10 \n", - "5 : 6405 596 126 8 7 \n", - "6 : 6407 592 126 9 8 \n", - "7 : 6379 622 124 5 12 \n", - "8 : 6419 602 105 10 6 \n", - "9 : 6413 581 130 12 6 \n", - "10 : 6422 579 121 13 7 \n", - "11 : 6392 608 126 9 7 \n", - "12 : 6415 590 126 7 4 \n", - "13 : 6409 606 128 9 2 \n", + "0 : 6439 558 128 10 7 \n", + "1 : 6439 574 111 9 9 \n", + "2 : 6410 563 147 12 10 \n", + "3 : 6452 544 120 18 8 \n", + "4 : 6424 566 128 17 7 \n", + "5 : 6430 581 111 13 7 \n", + "6 : 6394 594 125 20 9 \n", + "7 : 6415 583 129 8 7 \n", + "8 : 6429 578 114 16 5 \n", + "9 : 6435 588 100 12 7 \n", + "10 : 6424 584 108 16 10 \n", + "11 : 6416 586 119 15 6 \n", + "12 : 6438 567 120 7 10 \n", + "13 : 6493 518 118 14 11 \n", "\n", - "T : 89757 8302 1711 135 95 [100000]\n", + "T : 90038 7984 1678 187 113 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.5%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.2400e-02 sec\n", - "--- Collate = 6.1940e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.0610e-03 sec\n", + "--- Collate = 9.4808e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.374085e-05 < 6.250000e-03 [51]\n", - "--- Max DT=3.054766e-01 > 1.000000e-01 [69632]\n", + "--- Min DT=4.096011e-05 < 6.250000e-03 [64]\n", + "--- Max DT=3.110255e-01 > 1.000000e-01 [69362]\n", "----------------------------------------------------------------------\n", - " Component | low: 51/100000\n", - " Component | high: 69632/100000\n", + " Component | low: 64/100000\n", + " Component | high: 69362/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=29.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000651609 [ 0.43 %]\n", - "Velocity : 0.00272258 [ 1.81 %]\n", - "Force : 0.055013 [ 36.50 %]\n", - "Coefs : 0.0218059 [ 14.47 %]\n", - "Output : 0.00150138 [ 1.00 %]\n", - "Levels : 0.000325824 [ 0.22 %]\n", - "Report : 5.51e-07 [ 0.00 %]\n", - "Balance : 4.02e-07 [ 0.00 %]\n", - "Adjust : 0.0686542 [ 45.55 %]\n", - "Total : 0.150729 [100.00 %]\n", + "Drift : 0.00111206 [ 0.92 %]\n", + "Velocity : 0.00288878 [ 2.40 %]\n", + "Force : 0.0413175 [ 34.32 %]\n", + "Coefs : 0.0156332 [ 12.99 %]\n", + "Output : 0.00181615 [ 1.51 %]\n", + "Levels : 0.000246089 [ 0.20 %]\n", + "Report : 4.68e-07 [ 0.00 %]\n", + "Balance : 3.45e-07 [ 0.00 %]\n", + "Adjust : 0.0573227 [ 47.61 %]\n", + "Total : 0.120391 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6414 573 138 9 8 \n", - "1 : 6391 611 122 13 5 \n", - "2 : 6407 599 122 8 6 \n", - "3 : 6456 560 110 10 6 \n", - "4 : 6412 600 107 12 11 \n", - "5 : 6407 596 123 12 4 \n", - "6 : 6411 588 126 11 6 \n", - "7 : 6377 628 118 7 12 \n", - "8 : 6412 610 105 10 5 \n", - "9 : 6412 587 124 13 6 \n", - "10 : 6417 582 124 11 8 \n", - "11 : 6394 603 129 9 7 \n", - "12 : 6420 584 128 8 2 \n", - "13 : 6407 611 124 10 2 \n", + "0 : 6438 561 123 11 9 \n", + "1 : 6435 576 111 13 7 \n", + "2 : 6399 579 142 10 12 \n", + "3 : 6457 542 117 21 5 \n", + "4 : 6421 570 129 14 8 \n", + "5 : 6427 585 110 12 8 \n", + "6 : 6397 587 129 17 12 \n", + "7 : 6410 589 125 13 5 \n", + "8 : 6427 581 112 17 5 \n", + "9 : 6439 585 103 8 7 \n", + "10 : 6423 581 112 16 10 \n", + "11 : 6416 585 121 14 6 \n", + "12 : 6433 570 123 6 10 \n", + "13 : 6489 522 117 16 10 \n", "\n", - "T : 89737 8332 1700 143 88 [100000]\n", + "T : 90011 8013 1674 188 114 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.9%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.2613e-02 sec\n", - "--- Collate = 6.3185e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.4975e-03 sec\n", + "--- Collate = 1.0005e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.555801e-04 < 6.250000e-03 [43]\n", - "--- Max DT=3.054840e-01 > 1.000000e-01 [69606]\n", + "--- Min DT=5.254787e-06 < 6.250000e-03 [57]\n", + "--- Max DT=3.110445e-01 > 1.000000e-01 [69308]\n", "----------------------------------------------------------------------\n", - " Component | low: 43/100000\n", - " Component | high: 69606/100000\n", + " Component | low: 57/100000\n", + " Component | high: 69308/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=29.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000938964 [ 0.63 %]\n", - "Velocity : 0.00243071 [ 1.62 %]\n", - "Force : 0.0552077 [ 36.76 %]\n", - "Coefs : 0.0219514 [ 14.62 %]\n", - "Output : 0.0014626 [ 0.97 %]\n", - "Levels : 0.000230747 [ 0.15 %]\n", - "Report : 5.37e-07 [ 0.00 %]\n", - "Balance : 3.81e-07 [ 0.00 %]\n", - "Adjust : 0.0679156 [ 45.22 %]\n", - "Total : 0.15019 [100.00 %]\n", + "Drift : 0.00065532 [ 0.55 %]\n", + "Velocity : 0.00236857 [ 1.98 %]\n", + "Force : 0.0420709 [ 35.18 %]\n", + "Coefs : 0.0158396 [ 13.25 %]\n", + "Output : 0.00166468 [ 1.39 %]\n", + "Levels : 0.000266259 [ 0.22 %]\n", + "Report : 4.65e-07 [ 0.00 %]\n", + "Balance : 2.91e-07 [ 0.00 %]\n", + "Adjust : 0.0566537 [ 47.38 %]\n", + "Total : 0.119571 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6413 575 137 7 10 \n", - "1 : 6393 609 121 14 5 \n", - "2 : 6406 598 125 6 7 \n", - "3 : 6451 566 108 12 5 \n", - "4 : 6405 608 104 14 11 \n", - "5 : 6416 587 123 12 4 \n", - "6 : 6405 597 125 10 5 \n", - "7 : 6370 637 115 9 11 \n", - "8 : 6414 607 106 9 6 \n", - "9 : 6416 580 127 13 6 \n", - "10 : 6421 576 126 12 7 \n", - "11 : 6393 606 127 8 8 \n", - "12 : 6416 594 123 7 2 \n", - "13 : 6402 613 128 8 3 \n", + "0 : 6428 575 119 11 9 \n", + "1 : 6434 575 115 12 6 \n", + "2 : 6395 580 142 13 12 \n", + "3 : 6455 548 114 20 5 \n", + "4 : 6421 568 131 13 9 \n", + "5 : 6427 583 109 13 10 \n", + "6 : 6401 580 135 14 12 \n", + "7 : 6403 594 124 15 6 \n", + "8 : 6421 587 113 15 6 \n", + "9 : 6440 584 103 9 6 \n", + "10 : 6410 597 108 18 9 \n", + "11 : 6408 592 121 14 7 \n", + "12 : 6434 566 128 8 6 \n", + "13 : 6488 524 117 13 12 \n", "\n", - "T : 89721 8353 1695 141 90 [100000]\n", + "T : 89965 8053 1679 188 115 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.4%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.1338e-02 sec\n", - "--- Collate = 7.1161e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.6840e-03 sec\n", + "--- Collate = 8.0111e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.115894e-04 < 6.250000e-03 [41]\n", - "--- Max DT=3.054901e-01 > 1.000000e-01 [69549]\n", + "--- Min DT=2.011461e-05 < 6.250000e-03 [56]\n", + "--- Max DT=3.110617e-01 > 1.000000e-01 [69272]\n", "----------------------------------------------------------------------\n", - " Component | low: 41/100000\n", - " Component | high: 69549/100000\n", + " Component | low: 56/100000\n", + " Component | high: 69272/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=29.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00107925 [ 0.74 %]\n", - "Velocity : 0.00285899 [ 1.97 %]\n", - "Force : 0.0533388 [ 36.74 %]\n", - "Coefs : 0.0211522 [ 14.57 %]\n", - "Output : 0.00144692 [ 1.00 %]\n", - "Levels : 0.000224939 [ 0.15 %]\n", - "Report : 5.46e-07 [ 0.00 %]\n", - "Balance : 3.43e-07 [ 0.00 %]\n", - "Adjust : 0.0650435 [ 44.80 %]\n", - "Total : 0.145197 [100.00 %]\n", + "Drift : 0.00110704 [ 0.92 %]\n", + "Velocity : 0.00289637 [ 2.42 %]\n", + "Force : 0.0408085 [ 34.08 %]\n", + "Coefs : 0.0155248 [ 12.96 %]\n", + "Output : 0.00171852 [ 1.43 %]\n", + "Levels : 0.000261302 [ 0.22 %]\n", + "Report : 5.14e-07 [ 0.00 %]\n", + "Balance : 3.25e-07 [ 0.00 %]\n", + "Adjust : 0.0573912 [ 47.92 %]\n", + "Total : 0.11976 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6414 574 136 10 8 \n", - "1 : 6395 608 121 12 6 \n", - "2 : 6403 597 128 7 7 \n", - "3 : 6445 573 108 10 6 \n", - "4 : 6399 614 104 14 11 \n", - "5 : 6418 582 126 13 3 \n", - "6 : 6408 594 126 9 5 \n", - "7 : 6370 639 114 8 11 \n", - "8 : 6400 617 111 8 6 \n", - "9 : 6413 589 121 12 7 \n", - "10 : 6415 584 123 15 5 \n", - "11 : 6402 598 126 9 7 \n", - "12 : 6417 595 120 7 3 \n", - "13 : 6401 611 131 6 5 \n", + "0 : 6423 580 116 15 8 \n", + "1 : 6439 569 115 13 6 \n", + "2 : 6394 577 144 14 13 \n", + "3 : 6446 558 113 17 8 \n", + "4 : 6418 572 131 14 7 \n", + "5 : 6418 587 114 12 11 \n", + "6 : 6397 587 132 17 9 \n", + "7 : 6403 595 122 15 7 \n", + "8 : 6416 590 115 12 9 \n", + "9 : 6438 584 103 10 7 \n", + "10 : 6407 595 108 23 9 \n", + "11 : 6402 597 122 14 7 \n", + "12 : 6426 575 128 5 8 \n", + "13 : 6488 525 118 11 12 \n", "\n", - "T : 89700 8375 1695 140 90 [100000]\n", + "T : 89915 8091 1681 192 121 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.8%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.8541e-02 sec\n", - "--- Collate = 7.1597e-05 sec\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.0088e-03 sec\n", + "--- Collate = 7.0634e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.459797e-05 < 6.250000e-03 [40]\n", - "--- Max DT=3.054955e-01 > 1.000000e-01 [69562]\n", + "--- Min DT=3.637477e-05 < 6.250000e-03 [63]\n", + "--- Max DT=3.110775e-01 > 1.000000e-01 [69215]\n", "----------------------------------------------------------------------\n", - " Component | low: 40/100000\n", - " Component | high: 69562/100000\n", + " Component | low: 63/100000\n", + " Component | high: 69215/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=29.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00105988 [ 0.61 %]\n", - "Velocity : 0.00321673 [ 1.84 %]\n", - "Force : 0.0604133 [ 34.53 %]\n", - "Coefs : 0.0217087 [ 12.41 %]\n", - "Output : 0.00148074 [ 0.85 %]\n", - "Levels : 0.00029778 [ 0.17 %]\n", - "Report : 7.88e-07 [ 0.00 %]\n", - "Balance : 2.65e-07 [ 0.00 %]\n", - "Adjust : 0.086742 [ 49.58 %]\n", - "Total : 0.174969 [100.00 %]\n", + "Drift : 0.00109709 [ 0.90 %]\n", + "Velocity : 0.00293471 [ 2.42 %]\n", + "Force : 0.0419479 [ 34.56 %]\n", + "Coefs : 0.0157079 [ 12.94 %]\n", + "Output : 0.00170687 [ 1.41 %]\n", + "Levels : 0.00028258 [ 0.23 %]\n", + "Report : 5.65e-07 [ 0.00 %]\n", + "Balance : 3.43e-07 [ 0.00 %]\n", + "Adjust : 0.0576526 [ 47.50 %]\n", + "Total : 0.121383 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6414 572 136 11 9 \n", - "1 : 6396 608 121 11 6 \n", - "2 : 6401 595 132 8 6 \n", - "3 : 6443 570 111 12 6 \n", - "4 : 6395 619 102 14 12 \n", - "5 : 6420 578 128 12 4 \n", - "6 : 6411 592 125 7 7 \n", - "7 : 6369 639 114 10 10 \n", - "8 : 6404 608 114 11 5 \n", - "9 : 6409 591 123 13 6 \n", - "10 : 6416 583 122 15 6 \n", - "11 : 6409 595 122 9 7 \n", - "12 : 6418 597 117 7 3 \n", - "13 : 6393 619 132 4 6 \n", + "0 : 6417 583 118 19 5 \n", + "1 : 6433 575 114 15 5 \n", + "2 : 6393 578 145 15 11 \n", + "3 : 6446 560 112 14 10 \n", + "4 : 6415 573 132 13 9 \n", + "5 : 6414 594 108 17 9 \n", + "6 : 6395 590 130 17 10 \n", + "7 : 6393 600 126 15 8 \n", + "8 : 6418 585 117 13 9 \n", + "9 : 6437 584 103 10 8 \n", + "10 : 6409 590 110 23 10 \n", + "11 : 6397 604 120 15 6 \n", + "12 : 6428 570 128 8 8 \n", + "13 : 6486 525 120 9 14 \n", "\n", - "T : 89698 8366 1699 144 93 [100000]\n", + "T : 89881 8111 1683 203 122 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.5%\n", + "--- Coef/DT = 1.9%\n", "--- Adj/Tot = 0.8%\n", - "--- Update = 1.4972e-02 sec\n", - "--- Collate = 7.2603e-05 sec\n", + "--- Update = 9.0855e-03 sec\n", + "--- Collate = 8.9554e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.014772e-05 < 6.250000e-03 [39]\n", - "--- Max DT=3.055001e-01 > 1.000000e-01 [69529]\n", + "--- Min DT=1.701657e-05 < 6.250000e-03 [74]\n", + "--- Max DT=3.110933e-01 > 1.000000e-01 [69206]\n", "----------------------------------------------------------------------\n", - " Component | low: 39/100000\n", - " Component | high: 69529/100000\n", + " Component | low: 74/100000\n", + " Component | high: 69206/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=30] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00139648 [ 0.29 %]\n", - "Velocity : 0.00337414 [ 0.69 %]\n", - "Force : 0.122672 [ 25.19 %]\n", - "Coefs : 0.135367 [ 27.79 %]\n", - "Output : 0.0109219 [ 2.24 %]\n", - "Levels : 0.000315549 [ 0.06 %]\n", - "Report : 1.62e-06 [ 0.00 %]\n", - "Balance : 7.72e-07 [ 0.00 %]\n", - "Adjust : 0.212971 [ 43.72 %]\n", - "Total : 0.487081 [100.00 %]\n", + "Drift : 0.00115665 [ 0.94 %]\n", + "Velocity : 0.00296093 [ 2.40 %]\n", + "Force : 0.0407265 [ 33.05 %]\n", + "Coefs : 0.0159288 [ 12.93 %]\n", + "Output : 0.00656752 [ 5.33 %]\n", + "Levels : 0.000284092 [ 0.23 %]\n", + "Report : 1.171e-06 [ 0.00 %]\n", + "Balance : 7.34e-07 [ 0.00 %]\n", + "Adjust : 0.0555528 [ 45.08 %]\n", + "Total : 0.123227 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6415 572 135 12 8 \n", - "1 : 6399 606 118 13 6 \n", - "2 : 6402 601 126 6 7 \n", - "3 : 6444 570 110 11 7 \n", - "4 : 6392 623 104 12 11 \n", - "5 : 6415 585 127 10 5 \n", - "6 : 6412 591 124 8 7 \n", - "7 : 6372 636 115 9 10 \n", - "8 : 6407 607 111 11 6 \n", - "9 : 6407 595 121 13 6 \n", - "10 : 6415 583 124 16 4 \n", - "11 : 6406 598 122 10 6 \n", - "12 : 6419 595 119 5 4 \n", - "13 : 6394 620 130 4 6 \n", + "0 : 6411 587 119 18 7 \n", + "1 : 6438 573 113 12 6 \n", + "2 : 6388 585 143 14 12 \n", + "3 : 6441 564 112 14 11 \n", + "4 : 6414 571 134 16 7 \n", + "5 : 6409 599 108 16 10 \n", + "6 : 6387 594 135 17 9 \n", + "7 : 6389 605 123 16 9 \n", + "8 : 6411 594 110 17 10 \n", + "9 : 6430 589 105 10 8 \n", + "10 : 6405 594 114 18 11 \n", + "11 : 6394 606 122 14 6 \n", + "12 : 6427 569 128 9 9 \n", + "13 : 6482 524 126 12 10 \n", "\n", - "T : 89699 8382 1686 140 93 [100000]\n", + "T : 89826 8154 1692 203 125 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.1%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.1327e-02 sec\n", - "--- Collate = 7.7234e-05 sec\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.4899e-03 sec\n", + "--- Collate = 8.8158e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.274870e-05 < 6.250000e-03 [47]\n", - "--- Max DT=3.055051e-01 > 1.000000e-01 [69515]\n", + "--- Min DT=1.937962e-07 < 6.250000e-03 [66]\n", + "--- Max DT=3.111085e-01 > 1.000000e-01 [69186]\n", "----------------------------------------------------------------------\n", - " Component | low: 47/100000\n", - " Component | high: 69515/100000\n", + " Component | low: 66/100000\n", + " Component | high: 69186/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=30.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00101666 [ 0.65 %]\n", - "Velocity : 0.00290355 [ 1.87 %]\n", - "Force : 0.0555778 [ 35.79 %]\n", - "Coefs : 0.0258355 [ 16.64 %]\n", - "Output : 0.00117375 [ 0.76 %]\n", - "Levels : 0.000231841 [ 0.15 %]\n", - "Report : 7.17e-07 [ 0.00 %]\n", - "Balance : 3.57e-07 [ 0.00 %]\n", - "Adjust : 0.0685024 [ 44.11 %]\n", - "Total : 0.155297 [100.00 %]\n", + "Drift : 0.00108088 [ 0.91 %]\n", + "Velocity : 0.00292042 [ 2.46 %]\n", + "Force : 0.0407336 [ 34.33 %]\n", + "Coefs : 0.0157014 [ 13.23 %]\n", + "Output : 0.00168757 [ 1.42 %]\n", + "Levels : 0.000260188 [ 0.22 %]\n", + "Report : 7.73e-07 [ 0.00 %]\n", + "Balance : 3.53e-07 [ 0.00 %]\n", + "Adjust : 0.056207 [ 47.37 %]\n", + "Total : 0.118644 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6413 576 132 13 8 \n", - "1 : 6394 611 118 13 6 \n", - "2 : 6403 598 127 8 6 \n", - "3 : 6443 571 110 13 5 \n", - "4 : 6394 619 106 10 13 \n", - "5 : 6411 587 127 13 4 \n", - "6 : 6409 594 123 10 6 \n", - "7 : 6374 633 116 12 7 \n", - "8 : 6404 612 110 11 5 \n", - "9 : 6403 597 123 13 6 \n", - "10 : 6415 584 124 15 4 \n", - "11 : 6394 609 125 7 7 \n", - "12 : 6413 599 120 5 5 \n", - "13 : 6390 631 122 5 6 \n", + "0 : 6406 590 122 17 7 \n", + "1 : 6435 574 115 11 7 \n", + "2 : 6384 591 142 11 14 \n", + "3 : 6442 563 110 15 12 \n", + "4 : 6412 573 136 14 7 \n", + "5 : 6409 596 111 14 12 \n", + "6 : 6378 596 141 18 9 \n", + "7 : 6384 606 128 12 12 \n", + "8 : 6412 596 108 16 10 \n", + "9 : 6431 588 104 10 9 \n", + "10 : 6398 598 117 17 12 \n", + "11 : 6390 608 124 12 8 \n", + "12 : 6427 566 129 11 9 \n", + "13 : 6484 523 124 11 12 \n", "\n", - "T : 89660 8421 1683 148 88 [100000]\n", + "T : 89792 8168 1711 189 140 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 0.9%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 2.1112e-02 sec\n", - "--- Collate = 9.5209e-05 sec\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.0989e-03 sec\n", + "--- Collate = 8.5713e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.009300e-05 < 6.250000e-03 [46]\n", - "--- Max DT=3.055083e-01 > 1.000000e-01 [69475]\n", + "--- Min DT=9.271404e-05 < 6.250000e-03 [70]\n", + "--- Max DT=3.111207e-01 > 1.000000e-01 [69154]\n", "----------------------------------------------------------------------\n", - " Component | low: 46/100000\n", - " Component | high: 69475/100000\n", + " Component | low: 70/100000\n", + " Component | high: 69154/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=30.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00116291 [ 0.55 %]\n", - "Velocity : 0.00317586 [ 1.49 %]\n", - "Force : 0.0625686 [ 29.37 %]\n", - "Coefs : 0.0355403 [ 16.68 %]\n", - "Output : 0.00121061 [ 0.57 %]\n", - "Levels : 0.000317057 [ 0.15 %]\n", - "Report : 1.308e-06 [ 0.00 %]\n", - "Balance : 3.4e-07 [ 0.00 %]\n", - "Adjust : 0.109021 [ 51.17 %]\n", - "Total : 0.213059 [100.00 %]\n", + "Drift : 0.0010841 [ 0.90 %]\n", + "Velocity : 0.00296326 [ 2.46 %]\n", + "Force : 0.0412407 [ 34.17 %]\n", + "Coefs : 0.0157218 [ 13.03 %]\n", + "Output : 0.00177244 [ 1.47 %]\n", + "Levels : 0.000255919 [ 0.21 %]\n", + "Report : 5.42e-07 [ 0.00 %]\n", + "Balance : 3.96e-07 [ 0.00 %]\n", + "Adjust : 0.0576066 [ 47.73 %]\n", + "Total : 0.120702 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6410 579 131 14 8 \n", - "1 : 6397 608 118 12 7 \n", - "2 : 6395 608 121 12 6 \n", - "3 : 6434 576 112 12 8 \n", - "4 : 6393 624 102 11 12 \n", - "5 : 6404 590 129 15 4 \n", - "6 : 6408 592 126 12 4 \n", - "7 : 6374 636 115 10 7 \n", - "8 : 6405 605 116 12 4 \n", - "9 : 6403 603 119 10 7 \n", - "10 : 6412 585 126 14 5 \n", - "11 : 6382 620 126 8 6 \n", - "12 : 6405 608 120 4 5 \n", - "13 : 6388 634 121 6 5 \n", + "0 : 6396 599 126 13 8 \n", + "1 : 6433 569 118 12 10 \n", + "2 : 6385 594 140 11 12 \n", + "3 : 6444 561 110 17 10 \n", + "4 : 6409 576 130 19 8 \n", + "5 : 6405 602 106 18 11 \n", + "6 : 6378 595 142 19 8 \n", + "7 : 6380 607 133 11 11 \n", + "8 : 6410 596 109 17 10 \n", + "9 : 6430 588 104 12 8 \n", + "10 : 6402 592 118 18 12 \n", + "11 : 6379 616 124 16 7 \n", + "12 : 6425 567 130 11 9 \n", + "13 : 6478 525 128 10 13 \n", "\n", - "T : 89610 8468 1682 152 88 [100000]\n", + "T : 89754 8187 1718 204 137 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.4%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.1342e-02 sec\n", - "--- Collate = 1.0378e-04 sec\n", + "--- Coef/DT = 2.2%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.4440e-03 sec\n", + "--- Collate = 7.4968e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.844621e-05 < 6.250000e-03 [47]\n", - "--- Max DT=3.055116e-01 > 1.000000e-01 [69430]\n", + "--- Min DT=2.874728e-05 < 6.250000e-03 [73]\n", + "--- Max DT=3.111335e-01 > 1.000000e-01 [69107]\n", "----------------------------------------------------------------------\n", - " Component | low: 47/100000\n", - " Component | high: 69430/100000\n", + " Component | low: 73/100000\n", + " Component | high: 69107/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=30.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00118205 [ 0.75 %]\n", - "Velocity : 0.00288466 [ 1.83 %]\n", - "Force : 0.0630501 [ 39.95 %]\n", - "Coefs : 0.0248589 [ 15.75 %]\n", - "Output : 0.0011183 [ 0.71 %]\n", - "Levels : 0.000292801 [ 0.19 %]\n", - "Report : 9.77e-07 [ 0.00 %]\n", - "Balance : 3.57e-07 [ 0.00 %]\n", - "Adjust : 0.0643746 [ 40.79 %]\n", - "Total : 0.157813 [100.00 %]\n", + "Drift : 0.0010873 [ 0.88 %]\n", + "Velocity : 0.0030327 [ 2.46 %]\n", + "Force : 0.0417137 [ 33.80 %]\n", + "Coefs : 0.0160326 [ 12.99 %]\n", + "Output : 0.00170317 [ 1.38 %]\n", + "Levels : 0.000280835 [ 0.23 %]\n", + "Report : 4.63e-07 [ 0.00 %]\n", + "Balance : 3.5e-07 [ 0.00 %]\n", + "Adjust : 0.0595072 [ 48.22 %]\n", + "Total : 0.123408 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6405 585 130 15 7 \n", - "1 : 6392 614 118 12 6 \n", - "2 : 6390 609 127 10 6 \n", - "3 : 6433 576 113 13 7 \n", - "4 : 6390 625 105 11 11 \n", - "5 : 6405 594 124 15 4 \n", - "6 : 6403 597 126 13 3 \n", - "7 : 6374 639 110 11 8 \n", - "8 : 6402 607 117 13 3 \n", - "9 : 6405 600 121 9 7 \n", - "10 : 6413 582 128 13 6 \n", - "11 : 6380 622 126 8 6 \n", - "12 : 6409 605 119 5 4 \n", - "13 : 6389 635 119 6 5 \n", + "0 : 6394 601 125 14 8 \n", + "1 : 6428 572 120 12 10 \n", + "2 : 6390 585 142 13 12 \n", + "3 : 6436 572 105 21 8 \n", + "4 : 6405 575 135 18 9 \n", + "5 : 6406 600 105 19 12 \n", + "6 : 6374 599 137 24 8 \n", + "7 : 6380 605 134 12 11 \n", + "8 : 6408 599 109 14 12 \n", + "9 : 6427 593 100 15 7 \n", + "10 : 6402 590 119 21 10 \n", + "11 : 6381 615 122 18 6 \n", + "12 : 6425 570 124 15 8 \n", + "13 : 6476 532 124 11 11 \n", "\n", - "T : 89590 8490 1683 154 83 [100000]\n", + "T : 89732 8208 1701 227 132 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.2%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.1172e-02 sec\n", - "--- Collate = 2.1700e-04 sec\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.3105e-03 sec\n", + "--- Collate = 6.3513e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.958590e-05 < 6.250000e-03 [54]\n", - "--- Max DT=3.055145e-01 > 1.000000e-01 [69382]\n", + "--- Min DT=9.664516e-06 < 6.250000e-03 [72]\n", + "--- Max DT=3.111436e-01 > 1.000000e-01 [69057]\n", "----------------------------------------------------------------------\n", - " Component | low: 54/100000\n", - " Component | high: 69382/100000\n", + " Component | low: 72/100000\n", + " Component | high: 69057/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=30.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000634429 [ 0.45 %]\n", - "Velocity : 0.00294936 [ 2.08 %]\n", - "Force : 0.0502811 [ 35.47 %]\n", - "Coefs : 0.0198255 [ 13.98 %]\n", - "Output : 0.00101445 [ 0.72 %]\n", - "Levels : 0.000234597 [ 0.17 %]\n", - "Report : 8.58e-07 [ 0.00 %]\n", - "Balance : 3.98e-07 [ 0.00 %]\n", - "Adjust : 0.0667799 [ 47.10 %]\n", - "Total : 0.14177 [100.00 %]\n", + "Drift : 0.00134495 [ 1.12 %]\n", + "Velocity : 0.00290486 [ 2.42 %]\n", + "Force : 0.0412926 [ 34.37 %]\n", + "Coefs : 0.015728 [ 13.09 %]\n", + "Output : 0.00169963 [ 1.41 %]\n", + "Levels : 0.000259141 [ 0.22 %]\n", + "Report : 9e-07 [ 0.00 %]\n", + "Balance : 4e-07 [ 0.00 %]\n", + "Adjust : 0.0568426 [ 47.31 %]\n", + "Total : 0.120147 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6408 580 132 12 10 \n", - "1 : 6395 611 117 12 7 \n", - "2 : 6395 600 132 7 8 \n", - "3 : 6427 582 112 13 8 \n", - "4 : 6394 620 102 15 11 \n", - "5 : 6412 587 124 15 4 \n", - "6 : 6405 595 125 14 3 \n", - "7 : 6374 633 115 12 8 \n", - "8 : 6402 600 123 13 4 \n", - "9 : 6402 602 121 10 7 \n", - "10 : 6415 581 128 13 5 \n", - "11 : 6381 620 126 9 6 \n", - "12 : 6406 610 118 4 4 \n", - "13 : 6386 636 120 6 6 \n", + "0 : 6391 601 132 9 9 \n", + "1 : 6429 573 116 13 11 \n", + "2 : 6381 594 143 12 12 \n", + "3 : 6436 573 105 20 8 \n", + "4 : 6407 570 139 17 9 \n", + "5 : 6404 602 107 17 12 \n", + "6 : 6372 600 137 23 10 \n", + "7 : 6378 606 131 13 14 \n", + "8 : 6410 596 110 13 13 \n", + "9 : 6420 599 99 16 8 \n", + "10 : 6391 598 124 20 9 \n", + "11 : 6378 612 130 16 6 \n", + "12 : 6424 571 124 14 9 \n", + "13 : 6475 535 122 14 8 \n", "\n", - "T : 89602 8457 1695 155 91 [100000]\n", + "T : 89696 8230 1719 217 138 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.1%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.1229e-02 sec\n", - "--- Collate = 9.3786e-05 sec\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.2987e-03 sec\n", + "--- Collate = 6.5374e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.585173e-05 < 6.250000e-03 [53]\n", - "--- Max DT=3.055179e-01 > 1.000000e-01 [69381]\n", + "--- Min DT=6.466452e-05 < 6.250000e-03 [69]\n", + "--- Max DT=3.111524e-01 > 1.000000e-01 [69035]\n", "----------------------------------------------------------------------\n", - " Component | low: 53/100000\n", - " Component | high: 69381/100000\n", + " Component | low: 69/100000\n", + " Component | high: 69035/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=30.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000638642 [ 0.45 %]\n", - "Velocity : 0.00259422 [ 1.84 %]\n", - "Force : 0.0495118 [ 35.14 %]\n", - "Coefs : 0.0201939 [ 14.33 %]\n", - "Output : 0.0011992 [ 0.85 %]\n", - "Levels : 0.000208256 [ 0.15 %]\n", - "Report : 1.105e-06 [ 0.00 %]\n", - "Balance : 2.33e-07 [ 0.00 %]\n", - "Adjust : 0.0665118 [ 47.20 %]\n", - "Total : 0.140914 [100.00 %]\n", + "Drift : 0.00111711 [ 0.93 %]\n", + "Velocity : 0.00293946 [ 2.43 %]\n", + "Force : 0.0413755 [ 34.26 %]\n", + "Coefs : 0.0159172 [ 13.18 %]\n", + "Output : 0.00165279 [ 1.37 %]\n", + "Levels : 0.000259384 [ 0.21 %]\n", + "Report : 7.8e-07 [ 0.00 %]\n", + "Balance : 3.86e-07 [ 0.00 %]\n", + "Adjust : 0.0574549 [ 47.57 %]\n", + "Total : 0.120768 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6415 574 131 12 10 \n", - "1 : 6389 620 116 10 7 \n", - "2 : 6394 602 131 8 7 \n", - "3 : 6426 584 111 13 8 \n", - "4 : 6386 626 102 18 10 \n", - "5 : 6415 582 127 12 6 \n", - "6 : 6405 596 126 12 3 \n", - "7 : 6370 636 117 8 11 \n", - "8 : 6388 617 118 12 7 \n", - "9 : 6396 609 120 10 7 \n", - "10 : 6411 582 131 14 4 \n", - "11 : 6378 621 128 8 7 \n", - "12 : 6409 606 118 6 3 \n", - "13 : 6385 636 119 10 4 \n", + "0 : 6384 604 133 11 10 \n", + "1 : 6431 570 116 13 12 \n", + "2 : 6382 594 140 14 12 \n", + "3 : 6430 579 103 23 7 \n", + "4 : 6400 581 134 17 10 \n", + "5 : 6397 604 109 21 11 \n", + "6 : 6362 614 134 18 14 \n", + "7 : 6379 604 130 16 13 \n", + "8 : 6411 596 108 14 13 \n", + "9 : 6422 595 99 19 7 \n", + "10 : 6385 605 123 19 10 \n", + "11 : 6376 615 127 14 10 \n", + "12 : 6425 568 125 16 8 \n", + "13 : 6469 546 117 13 9 \n", "\n", - "T : 89567 8491 1695 153 94 [100000]\n", + "T : 89653 8275 1698 228 146 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.3%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.0528e-02 sec\n", - "--- Collate = 1.1873e-04 sec\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.1651e-03 sec\n", + "--- Collate = 6.8102e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.511945e-04 < 6.250000e-03 [50]\n", - "--- Max DT=3.055201e-01 > 1.000000e-01 [69366]\n", + "--- Min DT=4.396975e-06 < 6.250000e-03 [59]\n", + "--- Max DT=3.111627e-01 > 1.000000e-01 [68999]\n", "----------------------------------------------------------------------\n", - " Component | low: 50/100000\n", - " Component | high: 69366/100000\n", + " Component | low: 59/100000\n", + " Component | high: 68999/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=30.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00091466 [ 0.65 %]\n", - "Velocity : 0.0024431 [ 1.75 %]\n", - "Force : 0.0511161 [ 36.59 %]\n", - "Coefs : 0.0191358 [ 13.70 %]\n", - "Output : 0.00107677 [ 0.77 %]\n", - "Levels : 0.000233845 [ 0.17 %]\n", - "Report : 9.82e-07 [ 0.00 %]\n", - "Balance : 3.13e-07 [ 0.00 %]\n", - "Adjust : 0.0647426 [ 46.34 %]\n", - "Total : 0.139718 [100.00 %]\n", + "Drift : 0.00109281 [ 0.91 %]\n", + "Velocity : 0.00295309 [ 2.47 %]\n", + "Force : 0.0411102 [ 34.37 %]\n", + "Coefs : 0.0158721 [ 13.27 %]\n", + "Output : 0.0016699 [ 1.40 %]\n", + "Levels : 0.000264236 [ 0.22 %]\n", + "Report : 5e-07 [ 0.00 %]\n", + "Balance : 3.79e-07 [ 0.00 %]\n", + "Adjust : 0.0566088 [ 47.32 %]\n", + "Total : 0.119622 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6411 580 129 12 10 \n", - "1 : 6379 627 119 10 7 \n", - "2 : 6388 607 132 9 6 \n", - "3 : 6424 585 112 12 9 \n", - "4 : 6383 629 101 21 8 \n", - "5 : 6417 579 129 10 7 \n", - "6 : 6404 595 128 12 3 \n", - "7 : 6365 639 118 9 11 \n", - "8 : 6386 616 119 14 7 \n", - "9 : 6393 616 116 9 8 \n", - "10 : 6415 577 130 16 4 \n", - "11 : 6375 627 125 9 6 \n", - "12 : 6403 609 119 7 4 \n", - "13 : 6380 642 118 9 5 \n", + "0 : 6381 606 134 12 9 \n", + "1 : 6430 571 115 15 11 \n", + "2 : 6378 599 137 17 11 \n", + "3 : 6427 583 102 22 8 \n", + "4 : 6395 587 133 17 10 \n", + "5 : 6399 599 112 21 11 \n", + " : 6366 610 135 15 16 \n", + "7 : 6377 606 131 16 12 \n", + "8 : 6407 602 109 10 14 \n", + "9 : 6420 602 93 18 9 \n", + "10 : 6380 607 131 16 8 \n", + "11 : 6379 607 132 16 8 \n", + "12 : 6424 564 130 15 9 \n", + "13 : 6462 551 122 11 8 \n", "\n", - "T : 89523 8528 1695 159 95 [100000]\n", + "T : 89625 8294 1716 221 144 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.8%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.2386e-02 sec\n", - "--- Collate = 9.2216e-05 sec\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.6001e-03 sec\n", + "--- Collate = 7.0562e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.748065e-04 < 6.250000e-03 [45]\n", - "--- Max DT=3.055227e-01 > 1.000000e-01 [69367]\n", + "--- Min DT=3.055728e-05 < 6.250000e-03 [63]\n", + "--- Max DT=3.111694e-01 > 1.000000e-01 [68975]\n", "----------------------------------------------------------------------\n", - " Component | low: 45/100000\n", - " Component | high: 69367/100000\n", + " Component | low: 63/100000\n", + " Component | high: 68975/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=30.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000906366 [ 0.60 %]\n", - "Velocity : 0.00289731 [ 1.90 %]\n", - "Force : 0.0545576 [ 35.86 %]\n", - "Coefs : 0.0216135 [ 14.21 %]\n", - "Output : 0.0010663 [ 0.70 %]\n", - "Levels : 0.000324219 [ 0.21 %]\n", - "Report : 1.242e-06 [ 0.00 %]\n", - "Balance : 5.69e-07 [ 0.00 %]\n", - "Adjust : 0.0707005 [ 46.47 %]\n", - "Total : 0.152127 [100.00 %]\n", + "Drift : 0.00109578 [ 0.89 %]\n", + "Velocity : 0.00299074 [ 2.42 %]\n", + "Force : 0.0417412 [ 33.78 %]\n", + "Coefs : 0.0160885 [ 13.02 %]\n", + "Output : 0.00171666 [ 1.39 %]\n", + "Levels : 0.000298164 [ 0.24 %]\n", + "Report : 4.85e-07 [ 0.00 %]\n", + "Balance : 3.74e-07 [ 0.00 %]\n", + "Adjust : 0.0595726 [ 48.22 %]\n", + "Total : 0.123553 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6411 582 126 12 11 \n", - "1 : 6384 624 117 10 7 \n", - "2 : 6380 614 136 7 5 \n", - "3 : 6424 586 110 12 10 \n", - "4 : 6381 627 105 17 12 \n", - "5 : 6416 584 125 11 6 \n", - "6 : 6395 604 128 12 3 \n", - "7 : 6367 636 119 9 11 \n", - "8 : 6377 628 115 16 6 \n", - "9 : 6394 616 117 6 9 \n", - "10 : 6411 584 128 14 5 \n", - "11 : 6373 630 124 10 5 \n", - "12 : 6400 612 120 6 4 \n", - "13 : 6385 632 122 13 2 \n", + "0 : 6381 609 127 13 12 \n", + "1 : 6430 569 118 15 10 \n", + "2 : 6373 600 141 17 11 \n", + "3 : 6427 582 104 20 9 \n", + "4 : 6392 594 128 17 11 \n", + "5 : 6402 596 113 20 11 \n", + "6 : 6363 612 132 20 15 \n", + "7 : 6374 615 126 17 10 \n", + "8 : 6400 609 108 14 11 \n", + "9 : 6423 599 87 25 8 \n", + "10 : 6370 616 131 18 7 \n", + "11 : 6378 609 130 19 6 \n", + "12 : 6428 561 126 17 10 \n", + "13 : 6459 560 117 11 7 \n", "\n", - "T : 89498 8559 1692 155 96 [100000]\n", + "T : 89600 8331 1688 243 138 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.9%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.2615e-02 sec\n", - "--- Collate = 8.8775e-05 sec\n", + "--- Coef/DT = 2.3%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 9.3899e-03 sec\n", + "--- Collate = 6.7901e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.711976e-05 < 6.250000e-03 [45]\n", - "--- Max DT=3.055257e-01 > 1.000000e-01 [69348]\n", + "--- Min DT=4.162213e-05 < 6.250000e-03 [66]\n", + "--- Max DT=3.111750e-01 > 1.000000e-01 [68953]\n", "----------------------------------------------------------------------\n", - " Component | low: 45/100000\n", - " Component | high: 69348/100000\n", + " Component | low: 66/100000\n", + " Component | high: 68953/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=30.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000882039 [ 0.58 %]\n", - "Velocity : 0.00289258 [ 1.90 %]\n", - "Force : 0.0551829 [ 36.32 %]\n", - "Coefs : 0.0219617 [ 14.45 %]\n", - "Output : 0.000965876 [ 0.64 %]\n", - "Levels : 0.000263093 [ 0.17 %]\n", - "Report : 9.17e-07 [ 0.00 %]\n", - "Balance : 2.38e-07 [ 0.00 %]\n", - "Adjust : 0.0697315 [ 45.90 %]\n", - "Total : 0.151933 [100.00 %]\n", + "Drift : 0.00120278 [ 0.98 %]\n", + "Velocity : 0.00316563 [ 2.58 %]\n", + "Force : 0.0424196 [ 34.56 %]\n", + "Coefs : 0.0162037 [ 13.20 %]\n", + "Output : 0.00162047 [ 1.32 %]\n", + "Levels : 0.000255976 [ 0.21 %]\n", + "Report : 7.29e-07 [ 0.00 %]\n", + "Balance : 3.7e-07 [ 0.00 %]\n", + "Adjust : 0.0578266 [ 47.11 %]\n", + "Total : 0.122745 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6404 587 128 15 8 \n", - "1 : 6381 625 117 12 7 \n", - "2 : 6375 618 135 10 4 \n", - "3 : 6416 597 108 11 10 \n", - "4 : 6386 617 109 17 13 \n", - "5 : 6414 587 123 13 5 \n", - "6 : 6393 608 126 11 4 \n", - "7 : 6368 633 121 7 13 \n", - "8 : 6378 629 113 16 6 \n", - "9 : 6391 616 120 5 10 \n", - "10 : 6403 590 132 11 6 \n", - "11 : 6372 632 122 11 5 \n", - "12 : 6394 615 122 7 4 \n", - "13 : 6382 633 124 13 2 \n", + "0 : 6376 617 123 18 8 \n", + "1 : 6425 570 123 14 10 \n", + "2 : 6371 599 144 19 9 \n", + "3 : 6418 589 109 15 11 \n", + "4 : 6387 598 129 17 11 \n", + "5 : 6399 601 110 23 9 \n", + "6 : 6364 609 132 24 13 \n", + "7 : 6372 620 121 19 10 \n", + "8 : 6394 615 107 14 12 \n", + "9 : 6419 600 91 24 8 \n", + "10 : 6362 622 131 17 10 \n", + "11 : 6385 598 135 20 4 \n", + "12 : 6422 565 126 18 11 \n", + "13 : 6457 563 115 12 7 \n", "\n", - "T : 89457 8587 1700 159 97 [100000]\n", + "T : 89551 8366 1696 254 133 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.3%\n", + "--- Coef/DT = 2.0%\n", "--- Adj/Tot = 0.8%\n", - "--- Update = 1.1305e-02 sec\n", - "--- Collate = 1.0148e-04 sec\n", + "--- Update = 9.7694e-03 sec\n", + "--- Collate = 7.3858e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.053995e-05 < 6.250000e-03 [44]\n", - "--- Max DT=3.068307e-01 > 1.000000e-01 [69324]\n", + "--- Min DT=5.627361e-05 < 6.250000e-03 [76]\n", + "--- Max DT=3.111799e-01 > 1.000000e-01 [68920]\n", "----------------------------------------------------------------------\n", - " Component | low: 44/100000\n", - " Component | high: 69324/100000\n", + " Component | low: 76/100000\n", + " Component | high: 68920/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=30.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00123533 [ 0.85 %]\n", - "Velocity : 0.00291051 [ 2.01 %]\n", - "Force : 0.0518637 [ 35.83 %]\n", - "Coefs : 0.0201956 [ 13.95 %]\n", - "Output : 0.00105795 [ 0.73 %]\n", - "Levels : 0.000265207 [ 0.18 %]\n", - "Report : 9.65e-07 [ 0.00 %]\n", - "Balance : 6.04e-07 [ 0.00 %]\n", - "Adjust : 0.0671587 [ 46.40 %]\n", - "Total : 0.144743 [100.00 %]\n", + "Drift : 0.00108407 [ 0.88 %]\n", + "Velocity : 0.00284494 [ 2.31 %]\n", + "Force : 0.0432355 [ 35.10 %]\n", + "Coefs : 0.0162929 [ 13.23 %]\n", + "Output : 0.00166938 [ 1.36 %]\n", + "Levels : 0.00029067 [ 0.24 %]\n", + "Report : 6.23e-07 [ 0.00 %]\n", + "Balance : 3.57e-07 [ 0.00 %]\n", + "Adjust : 0.057714 [ 46.85 %]\n", + "Total : 0.12318 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6398 591 131 12 10 \n", - "1 : 6378 625 120 13 6 \n", - "2 : 6371 621 134 12 4 \n", - "3 : 6418 596 106 14 8 \n", - "4 : 6392 612 111 15 12 \n", - "5 : 6418 580 126 13 5 \n", - "6 : 6387 611 130 9 5 \n", - "7 : 6365 629 127 9 12 \n", - "8 : 6376 630 117 11 8 \n", - "9 : 6390 615 122 6 9 \n", - "10 : 6402 587 136 11 6 \n", - "11 : 6364 636 127 8 7 \n", - "12 : 6389 622 118 10 3 \n", - "13 : 6385 630 126 11 2 \n", + "0 : 6380 615 121 16 10 \n", + "1 : 6423 575 120 12 12 \n", + "2 : 6367 603 142 24 6 \n", + "3 : 6419 588 109 16 10 \n", + "4 : 6384 601 131 14 12 \n", + "5 : 6403 598 106 22 13 \n", + "6 : 6363 609 134 23 13 \n", + "7 : 6372 620 125 17 8 \n", + "8 : 6394 616 102 17 13 \n", + "9 : 6423 592 99 20 8 \n", + "10 : 6359 626 129 17 11 \n", + "11 : 6383 600 134 18 7 \n", + "12 : 6414 573 126 17 12 \n", + "13 : 6452 566 112 17 7 \n", "\n", - "T : 89433 8585 1731 154 97 [100000]\n", + "T : 89536 8382 1690 250 142 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.8%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.1953e-02 sec\n", - "--- Collate = 7.3888e-05 sec\n", + "--- Coef/DT = 2.4%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 9.7570e-03 sec\n", + "--- Collate = 7.6745e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.121085e-04 < 6.250000e-03 [48]\n", - "--- Max DT=3.085719e-01 > 1.000000e-01 [69287]\n", + "--- Min DT=1.634643e-05 < 6.250000e-03 [75]\n", + "--- Max DT=3.111846e-01 > 1.000000e-01 [68882]\n", "----------------------------------------------------------------------\n", - " Component | low: 48/100000\n", - " Component | high: 69287/100000\n", + " Component | low: 75/100000\n", + " Component | high: 68882/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=31] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000910108 [ 0.60 %]\n", - "Velocity : 0.00325753 [ 2.16 %]\n", - "Force : 0.0519313 [ 34.43 %]\n", - "Coefs : 0.0208517 [ 13.82 %]\n", - "Output : 0.0075457 [ 5.00 %]\n", - "Levels : 0.000249263 [ 0.17 %]\n", - "Report : 1.431e-06 [ 0.00 %]\n", - "Balance : 8.17e-07 [ 0.00 %]\n", - "Adjust : 0.0660374 [ 43.78 %]\n", - "Total : 0.150842 [100.00 %]\n", + "Drift : 0.00109349 [ 0.86 %]\n", + "Velocity : 0.00296081 [ 2.32 %]\n", + "Force : 0.0415743 [ 32.56 %]\n", + "Coefs : 0.0159312 [ 12.48 %]\n", + "Output : 0.00673233 [ 5.27 %]\n", + "Levels : 0.000274568 [ 0.22 %]\n", + "Report : 1.699e-06 [ 0.00 %]\n", + "Balance : 6.15e-07 [ 0.00 %]\n", + "Adjust : 0.059059 [ 46.26 %]\n", + "Total : 0.12768 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6396 591 132 13 10 \n", - "1 : 6372 630 122 14 4 \n", - "2 : 6367 625 134 11 5 \n", - "3 : 6420 595 107 12 8 \n", - "4 : 6392 611 114 15 10 \n", - "5 : 6417 576 131 13 5 \n", - "6 : 6385 614 129 10 4 \n", - "7 : 6366 624 132 10 10 \n", - "8 : 6382 622 118 12 8 \n", - "9 : 6384 622 122 7 7 \n", - "10 : 6400 588 137 10 7 \n", - "11 : 6365 631 131 9 6 \n", - "12 : 6387 621 122 10 2 \n", - "13 : 6382 627 131 12 2 \n", + "0 : 6380 612 123 16 11 \n", + "1 : 6420 572 127 14 9 \n", + "2 : 6365 609 139 22 7 \n", + "3 : 6421 581 116 14 10 \n", + "4 : 6385 598 133 16 10 \n", + "5 : 6398 602 108 21 13 \n", + "6 : 6354 623 130 24 11 \n", + "7 : 6375 618 123 17 9 \n", + "8 : 6391 617 104 17 13 \n", + "9 : 6422 588 104 19 9 \n", + "10 : 6352 634 126 20 10 \n", + "11 : 6379 600 134 22 7 \n", + "12 : 6404 581 130 15 12 \n", + "13 : 6440 578 113 16 7 \n", "\n", - "T : 89415 8577 1762 158 88 [100000]\n", + "T : 89486 8413 1710 253 138 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.2%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.2273e-02 sec\n", - "--- Collate = 1.0618e-04 sec\n", + "--- Coef/DT = 2.1%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 9.2304e-03 sec\n", + "--- Collate = 9.6360e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.864045e-05 < 6.250000e-03 [43]\n", - "--- Max DT=3.103597e-01 > 1.000000e-01 [69265]\n", + "--- Min DT=8.513730e-05 < 6.250000e-03 [81]\n", + "--- Max DT=3.111869e-01 > 1.000000e-01 [68845]\n", "----------------------------------------------------------------------\n", - " Component | low: 43/100000\n", - " Component | high: 69265/100000\n", + " Component | low: 81/100000\n", + " Component | high: 68845/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=31.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00111576 [ 0.79 %]\n", - "Velocity : 0.00363671 [ 2.56 %]\n", - "Force : 0.0508165 [ 35.76 %]\n", - "Coefs : 0.0196262 [ 13.81 %]\n", - "Output : 0.00108098 [ 0.76 %]\n", - "Levels : 0.000255862 [ 0.18 %]\n", - "Report : 1.206e-06 [ 0.00 %]\n", - "Balance : 4.82e-07 [ 0.00 %]\n", - "Adjust : 0.0655043 [ 46.10 %]\n", - "Total : 0.142089 [100.00 %]\n", + "Drift : 0.00111473 [ 0.90 %]\n", + "Velocity : 0.00303348 [ 2.45 %]\n", + "Force : 0.0436581 [ 35.32 %]\n", + "Coefs : 0.0162383 [ 13.14 %]\n", + "Output : 0.00167517 [ 1.36 %]\n", + "Levels : 0.000265334 [ 0.21 %]\n", + "Report : 5.52e-07 [ 0.00 %]\n", + "Balance : 3.48e-07 [ 0.00 %]\n", + "Adjust : 0.0575694 [ 46.57 %]\n", + "Total : 0.123607 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6398 585 136 14 9 \n", - "1 : 6374 627 123 15 3 \n", - "2 : 6363 628 132 15 4 \n", - "3 : 6418 599 104 13 8 \n", - "4 : 6386 614 113 21 8 \n", - "5 : 6417 573 134 13 5 \n", - "6 : 6390 608 128 12 4 \n", - "7 : 6359 631 130 13 9 \n", - "8 : 6381 626 115 8 12 \n", - "9 : 6384 623 122 7 6 \n", - "10 : 6398 590 138 9 7 \n", - "11 : 6360 633 134 10 5 \n", - "12 : 6384 620 127 10 1 \n", - "13 : 6375 633 133 11 2 \n", + "0 : 6382 614 119 16 11 \n", + "1 : 6417 574 126 16 9 \n", + "2 : 6369 605 136 23 9 \n", + "3 : 6417 585 116 14 10 \n", + "4 : 6378 607 130 18 9 \n", + "5 : 6399 597 114 18 14 \n", + "6 : 6357 623 132 17 13 \n", + "7 : 6364 628 125 16 9 \n", + "8 : 6399 602 110 17 14 \n", + "9 : 6420 590 103 19 10 \n", + "10 : 6347 641 122 23 9 \n", + "11 : 6375 602 137 19 9 \n", + "12 : 6404 576 135 17 10 \n", + "13 : 6442 571 116 17 8 \n", "\n", - "T : 89387 8590 1769 171 83 [100000]\n", + "T : 89470 8415 1721 250 144 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 1.9%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.5285e-02 sec\n", - "--- Collate = 6.9377e-05 sec\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.6897e-03 sec\n", + "--- Collate = 8.0092e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.869695e-05 < 6.250000e-03 [45]\n", - "--- Max DT=3.120629e-01 > 1.000000e-01 [69261]\n", + "--- Min DT=6.088277e-05 < 6.250000e-03 [81]\n", + "--- Max DT=3.111878e-01 > 1.000000e-01 [68804]\n", "----------------------------------------------------------------------\n", - " Component | low: 45/100000\n", - " Component | high: 69261/100000\n", + " Component | low: 81/100000\n", + " Component | high: 68804/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=31.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00114933 [ 0.73 %]\n", - "Velocity : 0.00236934 [ 1.50 %]\n", - "Force : 0.0595757 [ 37.68 %]\n", - "Coefs : 0.0234197 [ 14.81 %]\n", - "Output : 0.00103063 [ 0.65 %]\n", - "Levels : 0.000285098 [ 0.18 %]\n", - "Report : 7.72e-07 [ 0.00 %]\n", - "Balance : 5.2e-07 [ 0.00 %]\n", - "Adjust : 0.0702417 [ 44.42 %]\n", - "Total : 0.158128 [100.00 %]\n", + "Drift : 0.00107695 [ 0.90 %]\n", + "Velocity : 0.00290939 [ 2.42 %]\n", + "Force : 0.0414042 [ 34.43 %]\n", + "Coefs : 0.016054 [ 13.35 %]\n", + "Output : 0.0016517 [ 1.37 %]\n", + "Levels : 0.000316034 [ 0.26 %]\n", + "Report : 6.73e-07 [ 0.00 %]\n", + "Balance : 3.72e-07 [ 0.00 %]\n", + "Adjust : 0.0568016 [ 47.23 %]\n", + "Total : 0.120269 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6394 594 132 13 9 \n", - "1 : 6377 623 124 16 2 \n", - "2 : 6364 623 136 15 4 \n", - "3 : 6417 602 102 13 8 \n", - "4 : 6382 614 118 18 10 \n", - "5 : 6409 584 135 9 5 \n", - "6 : 6390 605 132 12 3 \n", - "7 : 6346 640 135 12 9 \n", - "8 : 6379 629 117 6 11 \n", - "9 : 6387 615 125 8 7 \n", - "10 : 6397 590 138 10 7 \n", - "11 : 6362 631 134 11 4 \n", - "12 : 6379 622 132 6 3 \n", - "13 : 6376 631 134 11 2 \n", + "0 : 6376 616 124 14 12 \n", + "1 : 6413 578 129 12 10 \n", + "2 : 6367 605 138 24 8 \n", + "3 : 6416 586 116 14 10 \n", + "4 : 6378 613 125 18 8 \n", + "5 : 6390 604 115 18 15 \n", + "6 : 6352 629 134 14 13 \n", + "7 : 6359 630 125 18 10 \n", + "8 : 6399 601 110 19 13 \n", + "9 : 6422 587 106 17 10 \n", + "10 : 6343 644 125 20 10 \n", + "11 : 6379 592 144 18 9 \n", + "12 : 6407 576 130 17 12 \n", + "13 : 6438 573 118 18 7 \n", "\n", - "T : 89359 8603 1794 160 84 [100000]\n", + "T : 89439 8434 1739 241 147 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.4%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.1643e-02 sec\n", - "--- Collate = 1.0003e-04 sec\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.4151e-03 sec\n", + "--- Collate = 8.2414e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.128768e-05 < 6.250000e-03 [51]\n", - "--- Max DT=3.137038e-01 > 1.000000e-01 [69231]\n", + "--- Min DT=1.215495e-04 < 6.250000e-03 [76]\n", + "--- Max DT=3.111883e-01 > 1.000000e-01 [68757]\n", "----------------------------------------------------------------------\n", - " Component | low: 51/100000\n", - " Component | high: 69231/100000\n", + " Component | low: 76/100000\n", + " Component | high: 68757/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=31.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00106268 [ 0.66 %]\n", - "Velocity : 0.00194952 [ 1.21 %]\n", - "Force : 0.0566023 [ 35.04 %]\n", - "Coefs : 0.0287887 [ 17.82 %]\n", - "Output : 0.00113709 [ 0.70 %]\n", - "Levels : 0.000254676 [ 0.16 %]\n", - "Report : 1.437e-06 [ 0.00 %]\n", - "Balance : 4.48e-07 [ 0.00 %]\n", - "Adjust : 0.0716735 [ 44.37 %]\n", - "Total : 0.161524 [100.00 %]\n", + "Drift : 0.00108999 [ 0.90 %]\n", + "Velocity : 0.00294215 [ 2.43 %]\n", + "Force : 0.0419037 [ 34.57 %]\n", + "Coefs : 0.0158935 [ 13.11 %]\n", + "Output : 0.00164018 [ 1.35 %]\n", + "Levels : 0.000254431 [ 0.21 %]\n", + "Report : 4.84e-07 [ 0.00 %]\n", + "Balance : 3.7e-07 [ 0.00 %]\n", + "Adjust : 0.0574459 [ 47.39 %]\n", + "Total : 0.121218 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6389 597 135 11 10 \n", - "1 : 6382 616 125 16 3 \n", - "2 : 6358 629 137 12 6 \n", - "3 : 6414 601 104 17 6 \n", - "4 : 6380 617 119 16 10 \n", - "5 : 6407 584 136 9 6 \n", - "6 : 6386 608 131 14 3 \n", - "7 : 6347 638 135 14 8 \n", - "8 : 6376 631 119 7 9 \n", - "9 : 6382 612 132 11 5 \n", - "10 : 6396 594 134 11 7 \n", - "11 : 6357 635 134 13 3 \n", - "12 : 6371 625 136 6 4 \n", - "13 : 6373 635 134 10 2 \n", + "0 : 6374 620 120 15 13 \n", + "1 : 6416 578 125 11 12 \n", + "2 : 6363 613 137 20 9 \n", + "3 : 6410 594 114 19 5 \n", + "4 : 6381 611 123 16 11 \n", + "5 : 6389 600 121 17 15 \n", + "6 : 6357 626 133 13 13 \n", + "7 : 6354 635 124 18 11 \n", + "8 : 6395 607 107 21 12 \n", + "9 : 6422 583 108 19 10 \n", + "10 : 6345 640 125 22 10 \n", + "11 : 6373 596 144 21 8 \n", + "12 : 6402 581 129 17 13 \n", + "13 : 6426 587 117 18 6 \n", "\n", - "T : 89318 8622 1811 167 82 [100000]\n", + "T : 89407 8471 1727 247 148 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.8%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.1571e-02 sec\n", - "--- Collate = 1.6524e-04 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.9388e-03 sec\n", + "--- Collate = 7.6922e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.226455e-05 < 6.250000e-03 [52]\n", - "--- Max DT=3.152587e-01 > 1.000000e-01 [69198]\n", + "--- Min DT=3.683049e-06 < 6.250000e-03 [76]\n", + "--- Max DT=3.111867e-01 > 1.000000e-01 [68723]\n", "----------------------------------------------------------------------\n", - " Component | low: 52/100000\n", - " Component | high: 69198/100000\n", + " Component | low: 76/100000\n", + " Component | high: 68723/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=31.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00116991 [ 0.80 %]\n", - "Velocity : 0.00263227 [ 1.79 %]\n", - "Force : 0.0497077 [ 33.79 %]\n", - "Coefs : 0.0195766 [ 13.31 %]\n", - "Output : 0.000993811 [ 0.68 %]\n", - "Levels : 0.000243661 [ 0.17 %]\n", - "Report : 1.11e-06 [ 0.00 %]\n", - "Balance : 3.49e-07 [ 0.00 %]\n", - "Adjust : 0.0727206 [ 49.44 %]\n", - "Total : 0.147096 [100.00 %]\n", + "Drift : 0.00109547 [ 0.91 %]\n", + "Velocity : 0.00294287 [ 2.44 %]\n", + "Force : 0.0419106 [ 34.76 %]\n", + "Coefs : 0.0160833 [ 13.34 %]\n", + "Output : 0.00168693 [ 1.40 %]\n", + "Levels : 0.000280501 [ 0.23 %]\n", + "Report : 4.81e-07 [ 0.00 %]\n", + "Balance : 3.87e-07 [ 0.00 %]\n", + "Adjust : 0.0565347 [ 46.88 %]\n", + "Total : 0.120584 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6389 597 132 14 10 \n", - "1 : 6379 618 125 16 4 \n", - "2 : 6349 645 131 11 6 \n", - "3 : 6414 600 106 14 8 \n", - "4 : 6379 618 118 14 13 \n", - "5 : 6411 580 135 10 6 \n", - "6 : 6382 611 132 15 2 \n", - "7 : 6343 644 131 18 6 \n", - "8 : 6376 625 126 6 9 \n", - "9 : 6385 610 131 10 6 \n", - "10 : 6393 596 136 12 5 \n", - "11 : 6352 636 138 12 4 \n", - "12 : 6366 627 138 6 5 \n", - "13 : 6369 637 135 10 3 \n", + "0 : 6374 618 119 19 12 \n", + "1 : 6413 582 122 14 11 \n", + "2 : 6364 613 138 17 10 \n", + "3 : 6405 598 116 19 4 \n", + "4 : 6376 616 122 20 8 \n", + "5 : 6386 604 121 13 18 \n", + "6 : 6347 633 136 13 13 \n", + "7 : 6348 642 122 19 11 \n", + "8 : 6397 600 112 22 11 \n", + "9 : 6420 587 106 18 11 \n", + "10 : 6345 638 128 22 9 \n", + "11 : 6368 597 145 24 8 \n", + "12 : 6399 587 124 18 14 \n", + "13 : 6425 587 119 18 5 \n", "\n", - "T : 89287 8644 1814 168 87 [100000]\n", + "T : 89367 8502 1730 256 145 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.2%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.3088e-02 sec\n", - "--- Collate = 9.3988e-05 sec\n", + "--- Coef/DT = 2.1%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 9.5510e-03 sec\n", + "--- Collate = 7.7493e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.282827e-04 < 6.250000e-03 [48]\n", - "--- Max DT=3.167849e-01 > 1.000000e-01 [69163]\n", + "--- Min DT=1.777146e-05 < 6.250000e-03 [71]\n", + "--- Max DT=3.111843e-01 > 1.000000e-01 [68680]\n", "----------------------------------------------------------------------\n", - " Component | low: 48/100000\n", - " Component | high: 69163/100000\n", + " Component | low: 71/100000\n", + " Component | high: 68680/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=31.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00090218 [ 0.59 %]\n", - "Velocity : 0.00256143 [ 1.67 %]\n", - "Force : 0.0517169 [ 33.64 %]\n", - "Coefs : 0.0234912 [ 15.28 %]\n", - "Output : 0.00086577 [ 0.56 %]\n", - "Levels : 0.000266574 [ 0.17 %]\n", - "Report : 1.036e-06 [ 0.00 %]\n", - "Balance : 4e-07 [ 0.00 %]\n", - "Adjust : 0.073892 [ 48.06 %]\n", - "Total : 0.153747 [100.00 %]\n", + "Drift : 0.00108141 [ 0.88 %]\n", + "Velocity : 0.00300026 [ 2.43 %]\n", + "Force : 0.0428311 [ 34.75 %]\n", + "Coefs : 0.0163451 [ 13.26 %]\n", + "Output : 0.00173893 [ 1.41 %]\n", + "Levels : 0.000250106 [ 0.20 %]\n", + "Report : 5.01e-07 [ 0.00 %]\n", + "Balance : 4.07e-07 [ 0.00 %]\n", + "Adjust : 0.0579676 [ 47.03 %]\n", + "Total : 0.123265 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6390 596 134 8 14 \n", - "1 : 6375 624 123 14 6 \n", - "2 : 6348 646 131 12 5 \n", - "3 : 6415 598 106 12 11 \n", - "4 : 6375 619 120 15 13 \n", - "5 : 6412 581 131 13 5 \n", - "6 : 6384 610 130 15 3 \n", - "7 : 6337 644 137 18 6 \n", - "8 : 6378 625 121 8 10 \n", - "9 : 6378 616 131 11 6 \n", - "10 : 6395 589 140 14 4 \n", - "11 : 6347 641 137 14 3 \n", - "12 : 6359 632 138 8 5 \n", - "13 : 6367 635 135 14 3 \n", + "0 : 6368 627 114 22 11 \n", + "1 : 6410 584 121 17 10 \n", + "2 : 6364 616 138 15 9 \n", + "3 : 6407 600 109 20 6 \n", + "4 : 6371 618 129 15 9 \n", + "5 : 6389 598 121 17 17 \n", + "6 : 6349 630 139 12 12 \n", + "7 : 6351 637 127 16 11 \n", + "8 : 6397 602 108 24 11 \n", + "9 : 6416 591 104 22 9 \n", + "10 : 6353 629 125 22 13 \n", + "11 : 6365 604 144 22 7 \n", + "12 : 6393 600 118 15 16 \n", + "13 : 6428 585 120 17 4 \n", "\n", - "T : 89260 8656 1814 176 94 [100000]\n", + "T : 89361 8521 1717 256 145 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.3%\n", + "--- Coef/DT = 1.9%\n", "--- Adj/Tot = 0.8%\n", - "--- Update = 1.0922e-02 sec\n", - "--- Collate = 8.6628e-05 sec\n", + "--- Update = 9.6560e-03 sec\n", + "--- Collate = 8.0909e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.264291e-05 < 6.250000e-03 [42]\n", - "--- Max DT=3.182715e-01 > 1.000000e-01 [69142]\n", + "--- Min DT=5.631056e-05 < 6.250000e-03 [76]\n", + "--- Max DT=3.111787e-01 > 1.000000e-01 [68605]\n", "----------------------------------------------------------------------\n", - " Component | low: 42/100000\n", - " Component | high: 69142/100000\n", + " Component | low: 76/100000\n", + " Component | high: 68605/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=31.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000886243 [ 0.60 %]\n", - "Velocity : 0.00246199 [ 1.66 %]\n", - "Force : 0.0557828 [ 37.57 %]\n", - "Coefs : 0.0219806 [ 14.81 %]\n", - "Output : 0.00104792 [ 0.71 %]\n", - "Levels : 0.000291897 [ 0.20 %]\n", - "Report : 8.69e-07 [ 0.00 %]\n", - "Balance : 2.83e-07 [ 0.00 %]\n", - "Adjust : 0.0659582 [ 44.43 %]\n", - "Total : 0.148466 [100.00 %]\n", + "Drift : 0.00109244 [ 0.87 %]\n", + "Velocity : 0.00294453 [ 2.34 %]\n", + "Force : 0.0445175 [ 35.39 %]\n", + "Coefs : 0.0160583 [ 12.76 %]\n", + "Output : 0.00173303 [ 1.38 %]\n", + "Levels : 0.000310561 [ 0.25 %]\n", + "Report : 4.58e-07 [ 0.00 %]\n", + "Balance : 3.98e-07 [ 0.00 %]\n", + "Adjust : 0.0590958 [ 46.97 %]\n", + "Total : 0.125803 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6390 597 134 8 13 \n", - "1 : 6374 626 122 13 7 \n", - "2 : 6344 649 132 12 5 \n", - "3 : 6412 603 105 12 10 \n", - "4 : 6366 620 126 17 13 \n", - "5 : 6407 586 131 14 4 \n", - "6 : 6377 617 130 13 5 \n", - "7 : 6333 645 138 20 6 \n", - "8 : 6380 622 122 6 12 \n", - "9 : 6378 614 134 10 6 \n", - "10 : 6390 594 138 17 3 \n", - "11 : 6346 642 137 13 4 \n", - "12 : 6361 629 137 10 5 \n", - "13 : 6367 636 131 16 4 \n", + "0 : 6368 629 113 20 12 \n", + "1 : 6416 578 123 16 9 \n", + "2 : 6365 611 143 14 9 \n", + "3 : 6401 605 110 19 7 \n", + "4 : 6368 620 127 14 13 \n", + "5 : 6387 597 123 20 15 \n", + "6 : 6342 639 135 13 13 \n", + "7 : 6350 641 123 15 13 \n", + "8 : 6398 598 113 21 12 \n", + "9 : 6416 589 107 20 10 \n", + "10 : 6355 624 129 22 12 \n", + "11 : 6359 604 150 20 9 \n", + "12 : 6390 603 116 18 15 \n", + "13 : 6421 591 124 14 4 \n", "\n", - "T : 89225 8680 1817 181 97 [100000]\n", + "T : 89336 8529 1736 246 153 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.1336e-02 sec\n", - "--- Collate = 9.2030e-05 sec\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 9.3972e-03 sec\n", + "--- Collate = 8.0748e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.581458e-06 < 6.250000e-03 [45]\n", - "--- Max DT=3.198653e-01 > 1.000000e-01 [69137]\n", + "--- Min DT=4.994253e-06 < 6.250000e-03 [89]\n", + "--- Max DT=3.112517e-01 > 1.000000e-01 [68570]\n", "----------------------------------------------------------------------\n", - " Component | low: 45/100000\n", - " Component | high: 69137/100000\n", + " Component | low: 89/100000\n", + " Component | high: 68570/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=31.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00102942 [ 0.73 %]\n", - "Velocity : 0.00302554 [ 2.14 %]\n", - "Force : 0.0514728 [ 36.38 %]\n", - "Coefs : 0.0187995 [ 13.29 %]\n", - "Output : 0.000989977 [ 0.70 %]\n", - "Levels : 0.000257373 [ 0.18 %]\n", - "Report : 9.65e-07 [ 0.00 %]\n", - "Balance : 2.35e-07 [ 0.00 %]\n", - "Adjust : 0.0658722 [ 46.55 %]\n", - "Total : 0.141501 [100.00 %]\n", + "Drift : 0.00106338 [ 0.87 %]\n", + "Velocity : 0.00291849 [ 2.39 %]\n", + "Force : 0.0426839 [ 34.94 %]\n", + "Coefs : 0.0159324 [ 13.04 %]\n", + "Output : 0.0016842 [ 1.38 %]\n", + "Levels : 0.000247348 [ 0.20 %]\n", + "Report : 6.84e-07 [ 0.00 %]\n", + "Balance : 3.83e-07 [ 0.00 %]\n", + "Adjust : 0.0575926 [ 47.14 %]\n", + "Total : 0.122176 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6394 590 137 9 12 \n", - "1 : 6368 632 121 14 7 \n", - "2 : 6342 652 133 10 5 \n", - "3 : 6415 597 108 11 11 \n", - "4 : 6364 617 132 19 10 \n", - "5 : 6404 588 131 14 5 \n", - "6 : 6374 620 129 14 5 \n", - "7 : 6334 640 142 18 8 \n", - "8 : 6375 624 123 11 9 \n", - "9 : 6374 616 135 10 7 \n", - "10 : 6389 590 142 17 4 \n", - "11 : 6347 642 137 12 4 \n", - "12 : 6356 633 136 13 4 \n", - "13 : 6367 634 131 17 5 \n", + "0 : 6374 620 119 18 11 \n", + "1 : 6409 583 126 13 11 \n", + "2 : 6364 609 143 16 10 \n", + "3 : 6395 612 106 20 9 \n", + "4 : 6369 619 127 14 13 \n", + "5 : 6385 597 125 19 16 \n", + "6 : 6343 634 143 10 12 \n", + "7 : 6354 632 126 19 11 \n", + "8 : 6399 594 119 17 13 \n", + "9 : 6415 586 112 21 8 \n", + "10 : 6360 617 133 20 12 \n", + "11 : 6350 617 145 19 11 \n", + "12 : 6389 603 118 19 13 \n", + "13 : 6420 590 126 14 4 \n", "\n", - "T : 89203 8675 1837 189 96 [100000]\n", + "T : 89326 8513 1768 239 154 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.1%\n", + "--- Coef/DT = 2.1%\n", "--- Adj/Tot = 0.8%\n", - "--- Update = 1.2417e-02 sec\n", - "--- Collate = 7.8867e-05 sec\n", + "--- Update = 9.2838e-03 sec\n", + "--- Collate = 5.9800e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.862691e-05 < 6.250000e-03 [46]\n", - "--- Max DT=3.214672e-01 > 1.000000e-01 [69115]\n", + "--- Min DT=2.051908e-05 < 6.250000e-03 [87]\n", + "--- Max DT=3.113499e-01 > 1.000000e-01 [68501]\n", "----------------------------------------------------------------------\n", - " Component | low: 46/100000\n", - " Component | high: 69115/100000\n", + " Component | low: 87/100000\n", + " Component | high: 68501/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=31.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000916578 [ 0.64 %]\n", - "Velocity : 0.00205551 [ 1.44 %]\n", - "Force : 0.0498274 [ 35.02 %]\n", - "Coefs : 0.0202013 [ 14.20 %]\n", - "Output : 0.000990164 [ 0.70 %]\n", - "Levels : 0.000256935 [ 0.18 %]\n", - "Report : 9.25e-07 [ 0.00 %]\n", - "Balance : 2.6e-07 [ 0.00 %]\n", - "Adjust : 0.0679907 [ 47.78 %]\n", - "Total : 0.142289 [100.00 %]\n", + "Drift : 0.00110615 [ 0.91 %]\n", + "Velocity : 0.00304761 [ 2.51 %]\n", + "Force : 0.0418561 [ 34.53 %]\n", + "Coefs : 0.0159924 [ 13.19 %]\n", + "Output : 0.00168371 [ 1.39 %]\n", + "Levels : 0.000251295 [ 0.21 %]\n", + "Report : 4.43e-07 [ 0.00 %]\n", + "Balance : 3.86e-07 [ 0.00 %]\n", + "Adjust : 0.0572281 [ 47.21 %]\n", + "Total : 0.121215 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6394 590 137 9 12 \n", - "1 : 6372 624 122 18 6 \n", - "2 : 6340 653 135 8 6 \n", - "3 : 6414 596 112 8 12 \n", - "4 : 6361 621 132 16 12 \n", - "5 : 6402 590 128 16 6 \n", - "6 : 6374 617 131 16 4 \n", - "7 : 6331 641 141 18 11 \n", - "8 : 6372 627 123 11 9 \n", - "9 : 6377 614 133 12 6 \n", - "10 : 6389 587 144 18 4 \n", - "11 : 6341 638 147 12 4 \n", - "12 : 6366 623 135 14 4 \n", - "13 : 6361 636 134 17 6 \n", + "0 : 6367 628 120 14 13 \n", + "1 : 6403 592 123 13 11 \n", + "2 : 6361 608 143 22 8 \n", + "3 : 6391 614 105 24 8 \n", + "4 : 6361 626 124 17 14 \n", + "5 : 6392 591 124 19 16 \n", + "6 : 6336 647 132 16 11 \n", + "7 : 6353 633 126 20 10 \n", + "8 : 6399 593 121 17 12 \n", + "9 : 6419 583 112 17 11 \n", + "10 : 6361 615 135 17 14 \n", + "11 : 6349 618 146 16 13 \n", + "12 : 6388 601 119 20 14 \n", + "13 : 6415 592 128 14 5 \n", "\n", - "T : 89194 8657 1854 193 102 [100000]\n", + "T : 89295 8541 1758 246 160 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.4%\n", + "--- Coef/DT = 2.1%\n", "--- Adj/Tot = 0.8%\n", - "--- Update = 1.8334e-02 sec\n", - "--- Collate = 8.8175e-05 sec\n", + "--- Update = 9.4342e-03 sec\n", + "--- Collate = 6.5787e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.743895e-04 < 6.250000e-03 [47]\n", - "--- Max DT=3.230867e-01 > 1.000000e-01 [69122]\n", + "--- Min DT=8.885749e-06 < 6.250000e-03 [84]\n", + "--- Max DT=3.114471e-01 > 1.000000e-01 [68451]\n", "----------------------------------------------------------------------\n", - " Component | low: 47/100000\n", - " Component | high: 69122/100000\n", + " Component | low: 84/100000\n", + " Component | high: 68451/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=31.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000745338 [ 0.47 %]\n", - "Velocity : 0.00199766 [ 1.27 %]\n", - "Force : 0.0551736 [ 35.07 %]\n", - "Coefs : 0.0220112 [ 13.99 %]\n", - "Output : 0.00117892 [ 0.75 %]\n", - "Levels : 0.0002835 [ 0.18 %]\n", - "Report : 1.241e-06 [ 0.00 %]\n", - "Balance : 4.84e-07 [ 0.00 %]\n", - "Adjust : 0.0758941 [ 48.24 %]\n", - "Total : 0.157341 [100.00 %]\n", + "Drift : 0.00112718 [ 0.93 %]\n", + "Velocity : 0.00292635 [ 2.42 %]\n", + "Force : 0.0413989 [ 34.30 %]\n", + "Coefs : 0.0161679 [ 13.40 %]\n", + "Output : 0.00166804 [ 1.38 %]\n", + "Levels : 0.000254222 [ 0.21 %]\n", + "Report : 4.67e-07 [ 0.00 %]\n", + "Balance : 3.61e-07 [ 0.00 %]\n", + "Adjust : 0.0571045 [ 47.31 %]\n", + "Total : 0.120698 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6395 586 140 9 12 \n", - "1 : 6372 622 125 16 7 \n", - "2 : 6339 654 134 9 6 \n", - "3 : 6408 597 117 8 12 \n", - "4 : 6363 618 132 17 12 \n", - "5 : 6395 594 131 17 5 \n", - "6 : 6371 619 130 18 4 \n", - "7 : 6325 647 141 18 11 \n", - "8 : 6373 625 123 13 8 \n", - "9 : 6380 606 136 14 6 \n", - "10 : 6385 594 138 22 3 \n", - "11 : 6342 631 153 12 4 \n", - "12 : 6359 627 138 15 3 \n", - "13 : 6357 644 130 17 6 \n", + "0 : 6364 630 120 13 15 \n", + "1 : 6408 585 124 14 11 \n", + "2 : 6358 612 142 21 9 \n", + "3 : 6386 623 102 21 10 \n", + "4 : 6353 636 120 18 15 \n", + "5 : 6391 591 125 20 15 \n", + "6 : 6331 648 135 17 11 \n", + "7 : 6354 630 124 25 9 \n", + "8 : 6398 596 118 17 13 \n", + "9 : 6418 585 110 20 9 \n", + "10 : 6356 616 142 15 13 \n", + "11 : 6342 629 140 19 12 \n", + "12 : 6398 589 121 20 14 \n", + "13 : 6409 598 129 13 5 \n", "\n", - "T : 89164 8664 1868 205 99 [100000]\n", + "T : 89266 8568 1752 253 161 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.0186e-02 sec\n", - "--- Collate = 6.1363e-05 sec\n", + "--- Coef/DT = 2.1%\n", + "--- Adj/Tot = 0.9%\n", + "--- Update = 9.4142e-03 sec\n", + "--- Collate = 5.8989e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.673891e-06 < 6.250000e-03 [50]\n", - "--- Max DT=3.246914e-01 > 1.000000e-01 [69088]\n", + "--- Min DT=5.089746e-05 < 6.250000e-03 [89]\n", + "--- Max DT=3.115440e-01 > 1.000000e-01 [68397]\n", "----------------------------------------------------------------------\n", - " Component | low: 50/100000\n", - " Component | high: 69088/100000\n", + " Component | low: 89/100000\n", + " Component | high: 68397/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=32] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000838307 [ 0.48 %]\n", - "Velocity : 0.00232217 [ 1.32 %]\n", - "Force : 0.0626117 [ 35.51 %]\n", - "Coefs : 0.029033 [ 16.46 %]\n", - "Output : 0.00730034 [ 4.14 %]\n", - "Levels : 0.000423186 [ 0.24 %]\n", - "Report : 9.07e-07 [ 0.00 %]\n", - "Balance : 4.99e-07 [ 0.00 %]\n", - "Adjust : 0.0737571 [ 41.83 %]\n", - "Total : 0.17634 [100.00 %]\n", + "Drift : 0.00115003 [ 0.83 %]\n", + "Velocity : 0.00301428 [ 2.16 %]\n", + "Force : 0.0417926 [ 29.99 %]\n", + "Coefs : 0.0161231 [ 11.57 %]\n", + "Output : 0.010671 [ 7.66 %]\n", + "Levels : 0.00789427 [ 5.66 %]\n", + "Report : 1.223e-06 [ 0.00 %]\n", + "Balance : 1.085e-06 [ 0.00 %]\n", + "Adjust : 0.0586677 [ 42.10 %]\n", + "Total : 0.139368 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6386 592 142 13 9 \n", - "1 : 6372 619 127 17 7 \n", - "2 : 6343 645 138 10 6 \n", - "3 : 6406 599 116 9 12 \n", - "4 : 6367 612 132 19 12 \n", - "5 : 6393 595 129 19 6 \n", - "6 : 6379 611 130 17 5 \n", - "7 : 6316 656 143 16 11 \n", - "8 : 6369 627 123 16 7 \n", - "9 : 6388 596 140 11 7 \n", - "10 : 6384 593 138 23 4 \n", - "11 : 6333 639 153 13 4 \n", - "12 : 6359 626 138 14 5 \n", - "13 : 6350 648 131 18 7 \n", + "0 : 6362 630 121 13 16 \n", + "1 : 6402 593 119 16 12 \n", + "2 : 6352 618 139 24 9 \n", + "3 : 6386 622 103 18 13 \n", + "4 : 6352 633 122 21 14 \n", + "5 : 6391 588 130 18 15 \n", + "6 : 6329 646 135 18 14 \n", + "7 : 6352 633 126 20 11 \n", + "8 : 6401 589 120 20 12 \n", + "9 : 6421 580 110 22 9 \n", + "10 : 6357 615 142 16 12 \n", + "11 : 6333 640 134 21 14 \n", + "12 : 6392 593 125 20 12 \n", + "13 : 6407 599 130 11 7 \n", "\n", - "T : 89145 8658 1880 215 102 [100000]\n", + "T : 89237 8579 1756 258 170 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.0%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.2150e-02 sec\n", - "--- Collate = 7.6386e-05 sec\n", + "--- Coef/DT = 2.2%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 1.0309e-02 sec\n", + "--- Collate = 9.4563e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.089660e-04 < 6.250000e-03 [59]\n", - "--- Max DT=3.262707e-01 > 1.000000e-01 [69079]\n", + "--- Min DT=8.557838e-05 < 6.250000e-03 [92]\n", + "--- Max DT=3.116383e-01 > 1.000000e-01 [68329]\n", "----------------------------------------------------------------------\n", - " Component | low: 59/100000\n", - " Component | high: 69079/100000\n", + " Component | low: 92/100000\n", + " Component | high: 68329/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=32.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00141656 [ 0.97 %]\n", - "Velocity : 0.00278798 [ 1.91 %]\n", - "Force : 0.0502498 [ 34.42 %]\n", - "Coefs : 0.0186996 [ 12.81 %]\n", - "Output : 0.00188436 [ 1.29 %]\n", - "Levels : 0.000799472 [ 0.55 %]\n", - "Report : 6.63e-07 [ 0.00 %]\n", - "Balance : 3.83e-07 [ 0.00 %]\n", - "Adjust : 0.0701104 [ 48.02 %]\n", - "Total : 0.146006 [100.00 %]\n", + "Drift : 0.000601506 [ 0.46 %]\n", + "Velocity : 0.00623139 [ 4.76 %]\n", + "Force : 0.0429636 [ 32.83 %]\n", + "Coefs : 0.0203448 [ 15.55 %]\n", + "Output : 0.00112448 [ 0.86 %]\n", + "Levels : 0.000299745 [ 0.23 %]\n", + "Report : 1.408e-06 [ 0.00 %]\n", + "Balance : 7.26e-07 [ 0.00 %]\n", + "Adjust : 0.0592477 [ 45.27 %]\n", + "Total : 0.130867 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6385 591 144 14 8 \n", - "1 : 6366 626 125 19 6 \n", - "2 : 6345 639 143 11 4 \n", - "3 : 6399 608 115 9 11 \n", - "4 : 6366 612 136 16 12 \n", - "5 : 6393 593 129 21 6 \n", - "6 : 6372 616 131 17 6 \n", - "7 : 6318 656 138 19 11 \n", - "8 : 6366 632 124 14 6 \n", - "9 : 6386 601 136 10 9 \n", - "10 : 6379 595 138 23 7 \n", - "11 : 6327 649 149 12 5 \n", - "12 : 6359 622 141 16 4 \n", - "13 : 6343 654 129 17 11 \n", + "0 : 6351 636 126 14 15 \n", + "1 : 6399 591 123 17 12 \n", + "2 : 6354 617 136 25 10 \n", + "3 : 6383 621 107 16 15 \n", + "4 : 6355 630 121 21 15 \n", + "5 : 6389 595 127 18 13 \n", + "6 : 6323 646 139 19 15 \n", + "7 : 6352 630 127 21 12 \n", + "8 : 6404 582 126 18 12 \n", + "9 : 6421 578 107 29 7 \n", + "10 : 6359 614 141 16 12 \n", + "11 : 6331 637 139 21 14 \n", + "12 : 6381 600 129 21 11 \n", + "13 : 6403 602 133 9 7 \n", "\n", - "T : 89104 8694 1878 218 106 [100000]\n", + "T : 89205 8579 1781 265 170 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.1%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.2651e-02 sec\n", - "--- Collate = 7.2387e-05 sec\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 1.0542e-02 sec\n", + "--- Collate = 9.1691e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.045973e-05 < 6.250000e-03 [59]\n", - "--- Max DT=3.277633e-01 > 1.000000e-01 [69078]\n", + "--- Min DT=3.030477e-05 < 6.250000e-03 [94]\n", + "--- Max DT=3.117315e-01 > 1.000000e-01 [68261]\n", "----------------------------------------------------------------------\n", - " Component | low: 59/100000\n", - " Component | high: 69078/100000\n", + " Component | low: 94/100000\n", + " Component | high: 68261/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=32.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000917134 [ 0.59 %]\n", - "Velocity : 0.00374221 [ 2.41 %]\n", - "Force : 0.0551779 [ 35.55 %]\n", - "Coefs : 0.020461 [ 13.18 %]\n", - "Output : 0.00191002 [ 1.23 %]\n", - "Levels : 0.000370773 [ 0.24 %]\n", - "Report : 1.238e-06 [ 0.00 %]\n", - "Balance : 4.2e-07 [ 0.00 %]\n", - "Adjust : 0.0725681 [ 46.76 %]\n", - "Total : 0.155206 [100.00 %]\n", + "Drift : 0.000554577 [ 0.46 %]\n", + "Velocity : 0.00130168 [ 1.08 %]\n", + "Force : 0.0423821 [ 35.10 %]\n", + "Coefs : 0.0174596 [ 14.46 %]\n", + "Output : 0.000656285 [ 0.54 %]\n", + "Levels : 0.000154895 [ 0.13 %]\n", + "Report : 6.91e-07 [ 0.00 %]\n", + "Balance : 5.17e-07 [ 0.00 %]\n", + "Adjust : 0.0582109 [ 48.20 %]\n", + "Total : 0.12076 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6381 597 142 13 9 \n", - "1 : 6366 622 127 20 7 \n", - "2 : 6347 641 137 14 3 \n", - "3 : 6394 609 120 8 11 \n", - "4 : 6365 607 142 13 15 \n", - "5 : 6393 597 126 20 6 \n", - "6 : 6372 611 134 18 7 \n", - "7 : 6316 659 137 18 12 \n", - "8 : 6359 642 120 15 6 \n", - "9 : 6383 599 142 9 9 \n", - "10 : 6378 594 143 19 8 \n", - "11 : 6324 651 150 12 5 \n", - "12 : 6362 616 142 19 3 \n", - "13 : 6343 650 132 16 13 \n", + "0 : 6351 636 125 14 16 \n", + "1 : 6398 586 127 21 10 \n", + "2 : 6356 614 136 25 11 \n", + "3 : 6384 617 113 11 17 \n", + "4 : 6353 628 128 19 14 \n", + "5 : 6384 596 132 18 12 \n", + "6 : 6323 643 143 18 15 \n", + "7 : 6355 628 122 26 11 \n", + "8 : 6406 578 130 18 10 \n", + "9 : 6419 578 108 27 10 \n", + "10 : 6359 618 140 16 9 \n", + "11 : 6328 640 139 19 16 \n", + "12 : 6372 609 131 19 11 \n", + "13 : 6399 607 131 10 7 \n", "\n", - "T : 89083 8695 1894 214 114 [100000]\n", + "T : 89187 8578 1805 261 169 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.2%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.1200e-02 sec\n", - "--- Collate = 6.7722e-05 sec\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 1.0283e-02 sec\n", + "--- Collate = 8.3240e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.891559e-05 < 6.250000e-03 [64]\n", - "--- Max DT=3.293618e-01 > 1.000000e-01 [69055]\n", + "--- Min DT=5.739433e-05 < 6.250000e-03 [93]\n", + "--- Max DT=3.118227e-01 > 1.000000e-01 [68201]\n", "----------------------------------------------------------------------\n", - " Component | low: 64/100000\n", - " Component | high: 69055/100000\n", + " Component | low: 93/100000\n", + " Component | high: 68201/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=32.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00133393 [ 0.90 %]\n", - "Velocity : 0.00363441 [ 2.46 %]\n", - "Force : 0.0552113 [ 37.40 %]\n", - "Coefs : 0.0198768 [ 13.46 %]\n", - "Output : 0.00163164 [ 1.11 %]\n", - "Levels : 0.000447088 [ 0.30 %]\n", - "Report : 6.43e-07 [ 0.00 %]\n", - "Balance : 3.02e-07 [ 0.00 %]\n", - "Adjust : 0.065445 [ 44.33 %]\n", - "Total : 0.147635 [100.00 %]\n", + "Drift : 0.000500577 [ 0.42 %]\n", + "Velocity : 0.0014897 [ 1.24 %]\n", + "Force : 0.0411976 [ 34.41 %]\n", + "Coefs : 0.0174446 [ 14.57 %]\n", + "Output : 0.000881984 [ 0.74 %]\n", + "Levels : 0.000191362 [ 0.16 %]\n", + "Report : 6.9e-07 [ 0.00 %]\n", + "Balance : 4.26e-07 [ 0.00 %]\n", + "Adjust : 0.0579772 [ 48.42 %]\n", + "Total : 0.119738 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6380 598 143 13 8 \n", - "1 : 6363 625 122 25 7 \n", - "2 : 6343 640 141 16 2 \n", - "3 : 6392 611 118 10 11 \n", - "4 : 6365 603 145 13 16 \n", - "5 : 6388 599 131 15 9 \n", - "6 : 6373 610 132 20 7 \n", - "7 : 6324 645 142 19 12 \n", - "8 : 6356 645 120 16 5 \n", - "9 : 6380 599 141 14 8 \n", - "10 : 6371 601 141 17 12 \n", - "11 : 6321 654 149 12 6 \n", - "12 : 6360 615 145 15 7 \n", - "13 : 6344 647 136 14 13 \n", + "0 : 6351 639 125 12 15 \n", + "1 : 6396 586 131 18 11 \n", + "2 : 6352 614 144 21 11 \n", + "3 : 6380 621 109 14 18 \n", + "4 : 6353 626 133 18 12 \n", + "5 : 6378 605 126 22 11 \n", + "6 : 6325 639 145 21 12 \n", + "7 : 6355 626 127 22 12 \n", + "8 : 6403 581 129 18 11 \n", + "9 : 6416 577 112 25 12 \n", + "10 : 6359 619 142 13 9 \n", + "11 : 6323 639 145 18 17 \n", + "12 : 6371 609 131 19 12 \n", + "13 : 6400 607 132 9 6 \n", "\n", - "T : 89060 8692 1906 219 123 [100000]\n", + "T : 89162 8588 1831 250 169 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.2%\n", + "--- Coef/DT = 2.1%\n", "--- Adj/Tot = 0.9%\n", - "--- Update = 1.0933e-02 sec\n", - "--- Collate = 5.8565e-05 sec\n", + "--- Update = 1.0581e-02 sec\n", + "--- Collate = 9.3639e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.324571e-04 < 6.250000e-03 [67]\n", - "--- Max DT=3.309268e-01 > 1.000000e-01 [69048]\n", + "--- Min DT=1.152478e-05 < 6.250000e-03 [94]\n", + "--- Max DT=3.119135e-01 > 1.000000e-01 [68147]\n", "----------------------------------------------------------------------\n", - " Component | low: 67/100000\n", - " Component | high: 69048/100000\n", + " Component | low: 94/100000\n", + " Component | high: 68147/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=32.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0012422 [ 0.84 %]\n", - "Velocity : 0.00364462 [ 2.45 %]\n", - "Force : 0.0522851 [ 35.16 %]\n", - "Coefs : 0.0185504 [ 12.48 %]\n", - "Output : 0.00145751 [ 0.98 %]\n", - "Levels : 0.000264381 [ 0.18 %]\n", - "Report : 5.77e-07 [ 0.00 %]\n", - "Balance : 3.19e-07 [ 0.00 %]\n", - "Adjust : 0.071197 [ 47.88 %]\n", - "Total : 0.148693 [100.00 %]\n", + "Drift : 0.00049086 [ 0.40 %]\n", + "Velocity : 0.00125672 [ 1.04 %]\n", + "Force : 0.0435611 [ 35.93 %]\n", + "Coefs : 0.0175092 [ 14.44 %]\n", + "Output : 0.000830032 [ 0.68 %]\n", + "Levels : 0.00017967 [ 0.15 %]\n", + "Report : 1.149e-06 [ 0.00 %]\n", + "Balance : 2.88e-07 [ 0.00 %]\n", + "Adjust : 0.0573517 [ 47.31 %]\n", + "Total : 0.121233 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6378 598 146 10 10 \n", - "1 : 6360 625 125 25 7 \n", - "2 : 6347 631 144 17 3 \n", - "3 : 6390 609 121 13 9 \n", - "4 : 6360 603 149 14 16 \n", - "5 : 6386 600 131 15 10 \n", - "6 : 6370 614 133 17 8 \n", - "7 : 6325 643 142 19 13 \n", - "8 : 6352 646 124 14 6 \n", - "9 : 6374 606 141 14 7 \n", - "10 : 6370 604 140 15 13 \n", - "11 : 6318 661 142 15 6 \n", - "12 : 6361 613 142 19 7 \n", - "13 : 6348 640 139 14 13 \n", + "0 : 6341 650 126 11 14 \n", + "1 : 6388 595 127 21 11 \n", + "2 : 6351 615 143 21 12 \n", + "3 : 6389 608 110 18 17 \n", + "4 : 6350 626 138 17 11 \n", + "5 : 6381 602 127 18 14 \n", + "6 : 6330 635 146 17 14 \n", + "7 : 6350 629 129 24 10 \n", + "8 : 6405 576 133 18 10 \n", + "9 : 6408 586 110 24 14 \n", + "10 : 6353 620 146 16 7 \n", + "11 : 6324 636 150 15 17 \n", + "12 : 6370 606 133 20 13 \n", + "13 : 6401 608 129 10 6 \n", "\n", - "T : 89039 8693 1919 221 128 [100000]\n", + "T : 89141 8592 1847 250 170 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.6%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 2.1406e-02 sec\n", - "--- Collate = 7.0228e-05 sec\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 1.0717e-02 sec\n", + "--- Collate = 7.8176e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.478526e-06 < 6.250000e-03 [64]\n", - "--- Max DT=3.324147e-01 > 1.000000e-01 [69044]\n", + "--- Min DT=9.707014e-05 < 6.250000e-03 [84]\n", + "--- Max DT=3.120023e-01 > 1.000000e-01 [68076]\n", "----------------------------------------------------------------------\n", - " Component | low: 64/100000\n", - " Component | high: 69044/100000\n", + " Component | low: 84/100000\n", + " Component | high: 68076/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=32.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00119445 [ 0.41 %]\n", - "Velocity : 0.00350907 [ 1.21 %]\n", - "Force : 0.0947737 [ 32.58 %]\n", - "Coefs : 0.0403666 [ 13.88 %]\n", - "Output : 0.00168674 [ 0.58 %]\n", - "Levels : 0.000334288 [ 0.11 %]\n", - "Report : 8.13e-07 [ 0.00 %]\n", - "Balance : 3.53e-07 [ 0.00 %]\n", - "Adjust : 0.148983 [ 51.21 %]\n", - "Total : 0.290905 [100.00 %]\n", + "Drift : 0.000476375 [ 0.40 %]\n", + "Velocity : 0.0011753 [ 0.98 %]\n", + "Force : 0.0423496 [ 35.15 %]\n", + "Coefs : 0.0178412 [ 14.81 %]\n", + "Output : 0.000711641 [ 0.59 %]\n", + "Levels : 0.000201831 [ 0.17 %]\n", + "Report : 1.203e-06 [ 0.00 %]\n", + "Balance : 5.86e-07 [ 0.00 %]\n", + "Adjust : 0.0576797 [ 47.88 %]\n", + "Total : 0.120474 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6378 595 146 12 11 \n", - "1 : 6356 630 124 25 7 \n", - "2 : 6345 635 142 16 4 \n", - "3 : 6389 606 125 13 9 \n", - "4 : 6356 608 146 16 16 \n", - "5 : 6383 604 129 15 11 \n", - "6 : 6368 615 133 18 8 \n", - "7 : 6322 642 143 23 12 \n", - "8 : 6349 643 128 14 8 \n", - "9 : 6369 609 141 14 9 \n", - "10 : 6365 604 144 17 12 \n", - "11 : 6312 670 137 18 5 \n", - "12 : 6359 616 138 21 8 \n", - "13 : 6352 630 143 17 12 \n", + "0 : 6340 653 120 18 11 \n", + "1 : 6382 602 126 22 10 \n", + "2 : 6350 608 153 19 12 \n", + "3 : 6384 608 117 17 16 \n", + "4 : 6346 628 141 19 8 \n", + "5 : 6380 602 127 18 15 \n", + "6 : 6319 641 151 17 14 \n", + "7 : 6350 625 134 24 9 \n", + "8 : 6401 579 135 20 7 \n", + "9 : 6406 585 114 21 16 \n", + "10 : 6356 614 145 22 5 \n", + "11 : 6325 628 156 20 13 \n", + "12 : 6371 608 129 18 16 \n", + "13 : 6395 613 127 13 6 \n", "\n", - "T : 89003 8707 1919 239 132 [100000]\n", + "T : 89105 8594 1875 268 158 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.7%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.5597e-02 sec\n", - "--- Collate = 4.8965e-05 sec\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 9.8954e-03 sec\n", + "--- Collate = 7.8346e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.102139e-05 < 6.250000e-03 [67]\n", - "--- Max DT=3.338455e-01 > 1.000000e-01 [69021]\n", + "--- Min DT=1.202299e-04 < 6.250000e-03 [78]\n", + "--- Max DT=3.120893e-01 > 1.000000e-01 [68028]\n", "----------------------------------------------------------------------\n", - " Component | low: 67/100000\n", - " Component | high: 69021/100000\n", + " Component | low: 78/100000\n", + " Component | high: 68028/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=32.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0013367 [ 0.58 %]\n", - "Velocity : 0.00395252 [ 1.73 %]\n", - "Force : 0.0857079 [ 37.41 %]\n", - "Coefs : 0.0370338 [ 16.17 %]\n", - "Output : 0.00193525 [ 0.84 %]\n", - "Levels : 0.000281967 [ 0.12 %]\n", - "Report : 9.11e-07 [ 0.00 %]\n", - "Balance : 3.52e-07 [ 0.00 %]\n", - "Adjust : 0.0987716 [ 43.12 %]\n", - "Total : 0.229076 [100.00 %]\n", + "Drift : 0.000451837 [ 0.37 %]\n", + "Velocity : 0.00112548 [ 0.91 %]\n", + "Force : 0.0452311 [ 36.62 %]\n", + "Coefs : 0.0187677 [ 15.19 %]\n", + "Output : 0.000660763 [ 0.53 %]\n", + "Levels : 0.000160181 [ 0.13 %]\n", + "Report : 1.029e-06 [ 0.00 %]\n", + "Balance : 5e-07 [ 0.00 %]\n", + "Adjust : 0.0570741 [ 46.21 %]\n", + "Total : 0.123516 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6379 592 146 16 9 \n", - "1 : 6354 626 129 24 9 \n", - "2 : 6342 631 148 15 6 \n", - "3 : 6390 601 128 14 9 \n", - "4 : 6352 610 145 17 18 \n", - "5 : 6386 598 133 13 12 \n", - "6 : 6371 600 145 15 11 \n", - "7 : 6320 644 141 23 14 \n", - "8 : 6346 643 133 12 8 \n", - "9 : 6368 610 141 12 11 \n", - "10 : 6363 610 139 17 13 \n", - "11 : 6307 668 144 17 6 \n", - "12 : 6359 615 140 19 9 \n", - "13 : 6351 625 152 15 11 \n", + "0 : 6340 653 119 20 10 \n", + "1 : 6375 606 130 22 9 \n", + "2 : 6355 602 154 19 12 \n", + "3 : 6379 612 118 17 16 \n", + "4 : 6339 637 139 19 8 \n", + "5 : 6381 596 131 19 15 \n", + "6 : 6317 644 149 18 14 \n", + "7 : 6349 622 134 24 13 \n", + "8 : 6400 579 139 18 6 \n", + "9 : 6408 584 114 24 12 \n", + "10 : 6355 614 143 25 5 \n", + "11 : 6320 632 157 23 10 \n", + "12 : 6367 614 125 19 17 \n", + "13 : 6392 611 132 13 6 \n", "\n", - "T : 88988 8673 1964 229 146 [100000]\n", + "T : 89077 8606 1884 280 153 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.5%\n", + "--- Coef/DT = 3.1%\n", "--- Adj/Tot = 0.9%\n", - "--- Update = 1.1250e-02 sec\n", - "--- Collate = 7.3700e-05 sec\n", + "--- Update = 9.9230e-03 sec\n", + "--- Collate = 8.9555e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.679099e-05 < 6.250000e-03 [64]\n", - "--- Max DT=3.352616e-01 > 1.000000e-01 [69008]\n", + "--- Min DT=6.666067e-05 < 6.250000e-03 [65]\n", + "--- Max DT=3.137649e-01 > 1.000000e-01 [67982]\n", "----------------------------------------------------------------------\n", - " Component | low: 64/100000\n", - " Component | high: 69008/100000\n", + " Component | low: 65/100000\n", + " Component | high: 67982/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=32.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00141388 [ 0.51 %]\n", - "Velocity : 0.00334434 [ 1.21 %]\n", - "Force : 0.0870274 [ 31.41 %]\n", - "Coefs : 0.0692822 [ 25.01 %]\n", - "Output : 0.00180888 [ 0.65 %]\n", - "Levels : 0.000337889 [ 0.12 %]\n", - "Report : 1.168e-06 [ 0.00 %]\n", - "Balance : 4.65e-07 [ 0.00 %]\n", - "Adjust : 0.1138 [ 41.07 %]\n", - "Total : 0.277072 [100.00 %]\n", + "Drift : 0.000481572 [ 0.40 %]\n", + "Velocity : 0.00149436 [ 1.25 %]\n", + "Force : 0.0412975 [ 34.52 %]\n", + "Coefs : 0.0174964 [ 14.62 %]\n", + "Output : 0.00099796 [ 0.83 %]\n", + "Levels : 0.000252398 [ 0.21 %]\n", + "Report : 7.14e-07 [ 0.00 %]\n", + "Balance : 6.16e-07 [ 0.00 %]\n", + "Adjust : 0.0575589 [ 48.11 %]\n", + "Total : 0.119635 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6370 599 148 17 8 \n", - "1 : 6356 618 132 25 11 \n", - "2 : 6337 637 148 14 6 \n", - "3 : 6389 596 131 16 10 \n", - "4 : 6348 613 145 17 19 \n", - "5 : 6386 596 135 11 14 \n", - "6 : 6369 598 150 13 12 \n", - "7 : 6315 640 147 26 14 \n", - "8 : 6347 640 134 13 8 \n", - "9 : 6360 618 140 12 12 \n", - "10 : 6364 605 138 24 11 \n", - "11 : 6310 663 147 14 8 \n", - "12 : 6359 605 150 17 11 \n", - "13 : 6352 624 153 15 10 \n", + "0 : 6348 644 121 20 9 \n", + "1 : 6370 615 125 25 7 \n", + "2 : 6344 615 152 20 11 \n", + "3 : 6375 619 117 17 14 \n", + "4 : 6333 644 138 17 10 \n", + "5 : 6383 590 136 16 17 \n", + "6 : 6322 641 146 18 15 \n", + "7 : 6342 624 140 22 14 \n", + "8 : 6396 583 140 18 5 \n", + "9 : 6405 584 121 19 13 \n", + "10 : 6352 617 141 25 7 \n", + "11 : 6314 640 154 23 11 \n", + "12 : 6368 608 129 21 16 \n", + "13 : 6390 610 130 17 7 \n", "\n", - "T : 88962 8652 1998 234 154 [100000]\n", + "T : 89042 8634 1890 278 156 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.2%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.3663e-02 sec\n", - "--- Collate = 9.8252e-05 sec\n", + "--- Coef/DT = 2.1%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 9.9175e-03 sec\n", + "--- Collate = 8.8545e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.977995e-05 < 6.250000e-03 [75]\n", - "--- Max DT=3.365128e-01 > 1.000000e-01 [69005]\n", + "--- Min DT=1.616360e-07 < 6.250000e-03 [68]\n", + "--- Max DT=3.157506e-01 > 1.000000e-01 [67928]\n", "----------------------------------------------------------------------\n", - " Component | low: 75/100000\n", - " Component | high: 69005/100000\n", + " Component | low: 68/100000\n", + " Component | high: 67928/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=32.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00101948 [ 0.58 %]\n", - "Velocity : 0.00322654 [ 1.83 %]\n", - "Force : 0.0589655 [ 33.48 %]\n", - "Coefs : 0.0255707 [ 14.52 %]\n", - "Output : 0.00220351 [ 1.25 %]\n", - "Levels : 0.000251611 [ 0.14 %]\n", - "Report : 1.056e-06 [ 0.00 %]\n", - "Balance : 4.33e-07 [ 0.00 %]\n", - "Adjust : 0.084819 [ 48.16 %]\n", - "Total : 0.176112 [100.00 %]\n", + "Drift : 0.00058805 [ 0.50 %]\n", + "Velocity : 0.0015499 [ 1.31 %]\n", + "Force : 0.0414828 [ 34.98 %]\n", + "Coefs : 0.0171635 [ 14.47 %]\n", + "Output : 0.000955764 [ 0.81 %]\n", + "Levels : 0.000236492 [ 0.20 %]\n", + "Report : 7.22e-07 [ 0.00 %]\n", + "Balance : 6.07e-07 [ 0.00 %]\n", + "Adjust : 0.056549 [ 47.69 %]\n", + "Total : 0.11858 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6363 604 148 20 7 \n", - "1 : 6357 617 133 24 11 \n", - "2 : 6335 632 156 14 5 \n", - "3 : 6391 591 137 16 7 \n", - "4 : 6346 610 151 18 17 \n", - "5 : 6386 594 136 11 15 \n", - "6 : 6362 601 153 12 14 \n", - "7 : 6308 646 149 27 12 \n", - "8 : 6349 637 133 14 9 \n", - "9 : 6360 619 135 13 15 \n", - "10 : 6365 607 135 22 13 \n", - "11 : 6308 658 151 16 9 \n", - "12 : 6356 609 151 15 11 \n", - "13 : 6356 622 147 22 7 \n", + "0 : 6345 642 129 15 11 \n", + "1 : 6366 615 132 22 7 \n", + "2 : 6346 610 155 20 11 \n", + "3 : 6372 620 117 19 14 \n", + "4 : 6330 641 146 16 9 \n", + "5 : 6380 589 140 19 14 \n", + "6 : 6324 635 149 22 12 \n", + "7 : 6345 618 142 22 15 \n", + "8 : 6395 585 138 21 3 \n", + "9 : 6396 597 119 17 13 \n", + "10 : 6350 620 141 23 8 \n", + "11 : 6312 643 154 20 13 \n", + "12 : 6370 605 129 23 15 \n", + "13 : 6393 599 139 16 7 \n", "\n", - "T : 88942 8647 2015 244 152 [100000]\n", + "T : 89024 8619 1930 275 152 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.0%\n", + "--- Coef/DT = 2.6%\n", "--- Adj/Tot = 0.9%\n", - "--- Update = 1.6636e-02 sec\n", - "--- Collate = 9.3194e-05 sec\n", + "--- Update = 1.0299e-02 sec\n", + "--- Collate = 8.7009e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.760807e-04 < 6.250000e-03 [82]\n", - "--- Max DT=3.377562e-01 > 1.000000e-01 [69013]\n", + "--- Min DT=7.800595e-05 < 6.250000e-03 [67]\n", + "--- Max DT=3.177899e-01 > 1.000000e-01 [67871]\n", "----------------------------------------------------------------------\n", - " Component | low: 82/100000\n", - " Component | high: 69013/100000\n", + " Component | low: 67/100000\n", + " Component | high: 67871/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=32.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000901444 [ 0.53 %]\n", - "Velocity : 0.002662 [ 1.56 %]\n", - "Force : 0.0635212 [ 37.21 %]\n", - "Coefs : 0.0277151 [ 16.23 %]\n", - "Output : 0.000931402 [ 0.55 %]\n", - "Levels : 0.000353688 [ 0.21 %]\n", - "Report : 1.221e-06 [ 0.00 %]\n", - "Balance : 4.11e-07 [ 0.00 %]\n", - "Adjust : 0.0745815 [ 43.69 %]\n", - "Total : 0.170725 [100.00 %]\n", + "Drift : 0.000584363 [ 0.49 %]\n", + "Velocity : 0.00151266 [ 1.27 %]\n", + "Force : 0.0415957 [ 35.04 %]\n", + "Coefs : 0.0174154 [ 14.67 %]\n", + "Output : 0.000979403 [ 0.83 %]\n", + "Levels : 0.000281943 [ 0.24 %]\n", + "Report : 1.283e-06 [ 0.00 %]\n", + "Balance : 5.56e-07 [ 0.00 %]\n", + "Adjust : 0.0562765 [ 47.41 %]\n", + "Total : 0.118697 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6363 599 150 24 6 \n", - "1 : 6359 610 139 21 13 \n", - "2 : 6338 629 156 13 6 \n", - "3 : 6387 586 146 11 12 \n", - "4 : 6352 604 150 17 19 \n", - "5 : 6380 601 132 14 15 \n", - "6 : 6358 599 156 17 12 \n", - "7 : 6308 641 151 30 12 \n", - "8 : 6341 643 135 15 8 \n", - "9 : 6351 628 134 13 16 \n", - "10 : 6361 612 135 23 11 \n", - "11 : 6306 656 154 16 10 \n", - "12 : 6353 614 151 11 13 \n", - "13 : 6357 619 145 24 9 \n", + "0 : 6350 636 127 20 9 \n", + "1 : 6357 626 130 21 8 \n", + "2 : 6345 607 157 21 12 \n", + "3 : 6375 612 124 17 14 \n", + "4 : 6326 644 147 18 7 \n", + "5 : 6380 590 139 20 13 \n", + "6 : 6316 641 152 23 10 \n", + "7 : 6338 623 145 22 14 \n", + "8 : 6388 591 138 21 4 \n", + "9 : 6387 603 119 19 14 \n", + "10 : 6352 620 138 23 9 \n", + "11 : 6314 639 157 16 16 \n", + "12 : 6369 607 128 27 11 \n", + "13 : 6395 595 137 20 7 \n", "\n", - "T : 88914 8641 2034 249 162 [100000]\n", + "T : 88992 8634 1938 288 148 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.6%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.1841e-02 sec\n", - "--- Collate = 7.8201e-05 sec\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 1.0266e-02 sec\n", + "--- Collate = 7.9712e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.003676e-05 < 6.250000e-03 [79]\n", - "--- Max DT=3.388996e-01 > 1.000000e-01 [68976]\n", + "--- Min DT=5.331183e-05 < 6.250000e-03 [71]\n", + "--- Max DT=3.198093e-01 > 1.000000e-01 [67800]\n", "----------------------------------------------------------------------\n", - " Component | low: 79/100000\n", - " Component | high: 68976/100000\n", + " Component | low: 71/100000\n", + " Component | high: 67800/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=33] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000772916 [ 0.43 %]\n", - "Velocity : 0.00238449 [ 1.34 %]\n", - "Force : 0.0636815 [ 35.66 %]\n", - "Coefs : 0.0256806 [ 14.38 %]\n", - "Output : 0.00732424 [ 4.10 %]\n", - "Levels : 0.000279097 [ 0.16 %]\n", - "Report : 1.455e-06 [ 0.00 %]\n", - "Balance : 7.44e-07 [ 0.00 %]\n", - "Adjust : 0.0783937 [ 43.90 %]\n", - "Total : 0.178574 [100.00 %]\n", + "Drift : 0.000567784 [ 0.45 %]\n", + "Velocity : 0.00152223 [ 1.22 %]\n", + "Force : 0.0413053 [ 33.07 %]\n", + "Coefs : 0.0173932 [ 13.93 %]\n", + "Output : 0.00624663 [ 5.00 %]\n", + "Levels : 0.000221784 [ 0.18 %]\n", + "Report : 1.188e-06 [ 0.00 %]\n", + "Balance : 1.048e-06 [ 0.00 %]\n", + "Adjust : 0.0575827 [ 46.11 %]\n", + "Total : 0.124894 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6368 590 154 22 8 \n", - "1 : 6356 609 145 20 12 \n", - "2 : 6337 626 158 15 6 \n", - "3 : 6387 587 148 8 12 \n", - "4 : 6355 596 156 17 18 \n", - "5 : 6378 604 130 18 12 \n", - "6 : 6354 600 160 14 14 \n", - "7 : 6310 639 150 33 10 \n", - "8 : 6337 638 145 12 10 \n", - "9 : 6346 633 133 16 14 \n", - "10 : 6362 608 136 24 12 \n", - "11 : 6312 642 160 16 12 \n", - "12 : 6354 608 148 19 13 \n", - "13 : 6356 618 147 21 12 \n", + "0 : 6337 651 122 25 7 \n", + "1 : 6356 630 127 17 12 \n", + "2 : 6340 608 163 19 12 \n", + "3 : 6368 617 123 18 16 \n", + "4 : 6332 641 144 18 7 \n", + "5 : 6383 584 143 19 13 \n", + "6 : 6319 630 161 25 7 \n", + "7 : 6333 629 144 23 13 \n", + "8 : 6382 596 137 23 4 \n", + "9 : 6381 606 121 20 14 \n", + "10 : 6352 619 137 23 11 \n", + "11 : 6311 642 158 14 17 \n", + "12 : 6371 605 129 27 10 \n", + "13 : 6391 597 137 23 6 \n", "\n", - "T : 88912 8598 2070 255 165 [100000]\n", + "T : 88956 8655 1946 294 149 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.4%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.2486e-02 sec\n", - "--- Collate = 1.1268e-04 sec\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.9%\n", + "--- Update = 1.0210e-02 sec\n", + "--- Collate = 7.4589e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.207455e-05 < 6.250000e-03 [83]\n", - "--- Max DT=3.399795e-01 > 1.000000e-01 [68992]\n", + "--- Min DT=4.399690e-06 < 6.250000e-03 [75]\n", + "--- Max DT=3.219629e-01 > 1.000000e-01 [67751]\n", "----------------------------------------------------------------------\n", - " Component | low: 83/100000\n", - " Component | high: 68992/100000\n", + " Component | low: 75/100000\n", + " Component | high: 67751/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=33.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000981415 [ 0.63 %]\n", - "Velocity : 0.00294294 [ 1.90 %]\n", - "Force : 0.0564664 [ 36.47 %]\n", - "Coefs : 0.0224888 [ 14.53 %]\n", - "Output : 0.000994339 [ 0.64 %]\n", - "Levels : 0.000249947 [ 0.16 %]\n", - "Report : 1.081e-06 [ 0.00 %]\n", - "Balance : 4.65e-07 [ 0.00 %]\n", - "Adjust : 0.07064 [ 45.63 %]\n", - "Total : 0.154822 [100.00 %]\n", + "Drift : 0.000597439 [ 0.50 %]\n", + "Velocity : 0.00152064 [ 1.27 %]\n", + "Force : 0.0419209 [ 34.93 %]\n", + "Coefs : 0.0176417 [ 14.70 %]\n", + "Output : 0.00104567 [ 0.87 %]\n", + "Levels : 0.000197566 [ 0.16 %]\n", + "Report : 1.318e-06 [ 0.00 %]\n", + "Balance : 4.83e-07 [ 0.00 %]\n", + "Adjust : 0.0570486 [ 47.53 %]\n", + "Total : 0.120023 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6367 588 155 23 9 \n", - "1 : 6353 610 145 20 14 \n", - "2 : 6330 633 158 16 5 \n", - "3 : 6381 596 146 9 10 \n", - "4 : 6357 597 151 19 18 \n", - "5 : 6381 594 135 19 13 \n", - "6 : 6349 601 162 15 15 \n", - "7 : 6310 634 154 33 11 \n", - "8 : 6333 642 147 10 10 \n", - "9 : 6344 629 138 18 13 \n", - "10 : 6355 611 142 24 10 \n", - "11 : 6314 638 162 14 14 \n", - "12 : 6348 612 147 20 15 \n", - "13 : 6357 614 152 18 13 \n", + "0 : 6316 674 122 23 7 \n", + "1 : 6356 630 123 18 15 \n", + "2 : 6336 613 162 21 10 \n", + "3 : 6373 614 121 20 14 \n", + "4 : 6327 644 144 19 8 \n", + "5 : 6376 590 142 22 12 \n", + "6 : 6321 627 162 25 7 \n", + "7 : 6331 632 141 24 14 \n", + "8 : 6384 593 137 23 5 \n", + "9 : 6377 605 126 22 12 \n", + "10 : 6347 619 144 20 12 \n", + "11 : 6300 657 152 17 16 \n", + "12 : 6371 597 136 27 11 \n", + "13 : 6399 591 135 21 8 \n", "\n", - "T : 88879 8599 2094 258 170 [100000]\n", + "T : 88914 8686 1947 302 151 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.1%\n", + "--- Coef/DT = 2.2%\n", "--- Adj/Tot = 0.9%\n", - "--- Update = 1.2798e-02 sec\n", - "--- Collate = 8.8687e-05 sec\n", + "--- Update = 1.0402e-02 sec\n", + "--- Collate = 7.1997e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.041737e-05 < 6.250000e-03 [88]\n", - "--- Max DT=3.411006e-01 > 1.000000e-01 [68974]\n", + "--- Min DT=2.481384e-06 < 6.250000e-03 [75]\n", + "--- Max DT=3.240298e-01 > 1.000000e-01 [67684]\n", "----------------------------------------------------------------------\n", - " Component | low: 88/100000\n", - " Component | high: 68974/100000\n", + " Component | low: 75/100000\n", + " Component | high: 67684/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=33.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000982471 [ 0.64 %]\n", - "Velocity : 0.0029199 [ 1.90 %]\n", - "Force : 0.0573468 [ 37.40 %]\n", - "Coefs : 0.0222025 [ 14.48 %]\n", - "Output : 0.000928492 [ 0.61 %]\n", - "Levels : 0.000219425 [ 0.14 %]\n", - "Report : 8.75e-07 [ 0.00 %]\n", - "Balance : 2.7e-07 [ 0.00 %]\n", - "Adjust : 0.0686725 [ 44.79 %]\n", - "Total : 0.153333 [100.00 %]\n", + "Drift : 0.000481913 [ 0.39 %]\n", + "Velocity : 0.00118705 [ 0.97 %]\n", + "Force : 0.0433786 [ 35.44 %]\n", + "Coefs : 0.0180167 [ 14.72 %]\n", + "Output : 0.000726113 [ 0.59 %]\n", + "Levels : 0.000162796 [ 0.13 %]\n", + "Report : 6.1e-07 [ 0.00 %]\n", + "Balance : 3.05e-07 [ 0.00 %]\n", + "Adjust : 0.0583919 [ 47.71 %]\n", + "Total : 0.122388 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6370 586 155 22 9 \n", - "1 : 6354 599 153 22 14 \n", - "2 : 6334 622 162 18 6 \n", - "3 : 6375 600 147 9 11 \n", - "4 : 6354 599 148 23 18 \n", - "5 : 6372 600 136 21 13 \n", - "6 : 6337 612 157 21 15 \n", - "7 : 6312 629 154 34 13 \n", - "8 : 6334 640 145 14 9 \n", - "9 : 6333 637 139 18 15 \n", - "10 : 6353 609 145 25 10 \n", - "11 : 6313 635 162 17 15 \n", - "12 : 6347 604 154 22 15 \n", - "13 : 6349 616 158 17 14 \n", + "0 : 6311 679 122 19 11 \n", + "1 : 6355 629 124 21 13 \n", + "2 : 6335 615 158 25 9 \n", + "3 : 6371 611 128 19 13 \n", + "4 : 6332 632 150 20 8 \n", + "5 : 6371 594 147 18 12 \n", + "6 : 6325 619 162 28 8 \n", + "7 : 6326 639 139 26 12 \n", + "8 : 6386 592 136 24 4 \n", + "9 : 6385 593 132 21 11 \n", + "10 : 6347 617 145 22 11 \n", + "11 : 6308 649 150 21 14 \n", + "12 : 6369 601 130 29 13 \n", + "13 : 6394 597 140 14 9 \n", "\n", - "T : 88837 8588 2115 283 177 [100000]\n", + "T : 88915 8667 1963 307 148 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.3%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.1146e-02 sec\n", - "--- Collate = 7.3307e-05 sec\n", + "--- Coef/DT = 2.4%\n", + "--- Adj/Tot = 0.9%\n", + "--- Update = 1.0206e-02 sec\n", + "--- Collate = 7.0477e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.687064e-05 < 6.250000e-03 [87]\n", - "--- Max DT=3.421882e-01 > 1.000000e-01 [68956]\n", + "--- Min DT=1.070258e-05 < 6.250000e-03 [86]\n", + "--- Max DT=3.261152e-01 > 1.000000e-01 [67642]\n", "----------------------------------------------------------------------\n", - " Component | low: 87/100000\n", - " Component | high: 68956/100000\n", + " Component | low: 86/100000\n", + " Component | high: 67642/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=33.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000872658 [ 0.56 %]\n", - "Velocity : 0.00231124 [ 1.47 %]\n", - "Force : 0.0553489 [ 35.26 %]\n", - "Coefs : 0.025673 [ 16.35 %]\n", - "Output : 0.0009102 [ 0.58 %]\n", - "Levels : 0.000240476 [ 0.15 %]\n", - "Report : 8.69e-07 [ 0.00 %]\n", - "Balance : 2.12e-07 [ 0.00 %]\n", - "Adjust : 0.0715768 [ 45.59 %]\n", - "Total : 0.156985 [100.00 %]\n", + "Drift : 0.000437404 [ 0.37 %]\n", + "Velocity : 0.00123113 [ 1.03 %]\n", + "Force : 0.0414971 [ 34.68 %]\n", + "Coefs : 0.0179142 [ 14.97 %]\n", + "Output : 0.000817061 [ 0.68 %]\n", + "Levels : 0.000179974 [ 0.15 %]\n", + "Report : 1.198e-06 [ 0.00 %]\n", + "Balance : 2.85e-07 [ 0.00 %]\n", + "Adjust : 0.0575283 [ 48.08 %]\n", + "Total : 0.119642 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6374 584 152 24 8 \n", - "1 : 6357 591 158 22 14 \n", - "2 : 6330 632 158 17 5 \n", - "3 : 6376 597 146 14 9 \n", - "4 : 6351 597 156 21 17 \n", - "5 : 6374 591 142 25 10 \n", - "6 : 6334 613 155 26 14 \n", - "7 : 6309 622 166 30 15 \n", - "8 : 6333 639 151 14 5 \n", - "9 : 6331 636 141 18 16 \n", - "10 : 6354 605 149 20 14 \n", - "11 : 6315 625 169 19 14 \n", - "12 : 6343 602 158 25 14 \n", - "13 : 6354 611 156 20 13 \n", + "0 : 6306 683 123 18 12 \n", + "1 : 6349 635 126 21 11 \n", + "2 : 6334 612 162 24 10 \n", + "3 : 6374 600 130 22 16 \n", + "4 : 6333 627 153 22 7 \n", + "5 : 6375 592 145 20 10 \n", + "6 : 6323 623 161 26 9 \n", + "7 : 6324 641 141 23 13 \n", + "8 : 6386 587 137 25 7 \n", + "9 : 6381 595 134 21 11 \n", + "10 : 6342 616 152 22 10 \n", + "11 : 6312 650 140 25 15 \n", + "12 : 6364 606 134 23 15 \n", + "13 : 6388 602 137 17 10 \n", "\n", - "T : 88835 8545 2157 295 168 [100000]\n", + "T : 88891 8669 1975 309 156 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.1%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.2715e-02 sec\n", - "--- Collate = 8.4506e-05 sec\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 0.9%\n", + "--- Update = 1.0052e-02 sec\n", + "--- Collate = 6.9403e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.985814e-06 < 6.250000e-03 [86]\n", - "--- Max DT=3.432833e-01 > 1.000000e-01 [68958]\n", + "--- Min DT=1.924988e-05 < 6.250000e-03 [94]\n", + "--- Max DT=3.282140e-01 > 1.000000e-01 [67575]\n", "----------------------------------------------------------------------\n", - " Component | low: 86/100000\n", - " Component | high: 68958/100000\n", + " Component | low: 94/100000\n", + " Component | high: 67575/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=33.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00106631 [ 0.70 %]\n", - "Velocity : 0.00285415 [ 1.87 %]\n", - "Force : 0.0546898 [ 35.81 %]\n", - "Coefs : 0.0205411 [ 13.45 %]\n", - "Output : 0.000926222 [ 0.61 %]\n", - "Levels : 0.000288119 [ 0.19 %]\n", - "Report : 1.062e-06 [ 0.00 %]\n", - "Balance : 3.22e-07 [ 0.00 %]\n", - "Adjust : 0.0722878 [ 47.34 %]\n", - "Total : 0.152713 [100.00 %]\n", + "Drift : 0.000472214 [ 0.40 %]\n", + "Velocity : 0.00125457 [ 1.06 %]\n", + "Force : 0.0412735 [ 34.96 %]\n", + "Coefs : 0.0177901 [ 15.07 %]\n", + "Output : 0.000877338 [ 0.74 %]\n", + "Levels : 0.0002209 [ 0.19 %]\n", + "Report : 1.077e-06 [ 0.00 %]\n", + "Balance : 4.32e-07 [ 0.00 %]\n", + "Adjust : 0.0561163 [ 47.54 %]\n", + "Total : 0.11805 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6376 579 156 23 8 \n", - "1 : 6354 595 160 18 15 \n", - "2 : 6321 641 153 22 5 \n", - "3 : 6368 606 143 16 9 \n", - "4 : 6348 593 161 23 17 \n", - "5 : 6372 596 139 25 10 \n", - "6 : 6330 615 158 23 16 \n", - "7 : 6304 626 169 30 13 \n", - "8 : 6332 640 149 13 8 \n", - "9 : 6334 628 149 15 16 \n", - "10 : 6351 606 147 23 15 \n", - "11 : 6315 622 171 20 14 \n", - "12 : 6346 593 163 24 16 \n", - "13 : 6358 610 150 21 15 \n", + "0 : 6301 685 125 17 14 \n", + "1 : 6351 630 128 20 13 \n", + "2 : 6331 612 161 26 12 \n", + "3 : 6373 599 131 21 18 \n", + "4 : 6336 619 158 19 10 \n", + "5 : 6374 589 145 22 12 \n", + "6 : 6314 627 166 22 13 \n", + "7 : 6316 646 142 23 15 \n", + "8 : 6377 597 132 29 7 \n", + "9 : 6381 589 142 19 11 \n", + "10 : 6351 599 160 22 10 \n", + "11 : 6314 653 135 25 15 \n", + "12 : 6363 610 133 22 14 \n", + "13 : 6383 605 136 20 10 \n", "\n", - "T : 88809 8550 2168 296 177 [100000]\n", + "T : 88865 8660 1994 307 174 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.4%\n", + "--- Coef/DT = 2.8%\n", "--- Adj/Tot = 1.0%\n", - "--- Update = 1.2580e-02 sec\n", - "--- Collate = 7.8149e-05 sec\n", + "--- Update = 1.0698e-02 sec\n", + "--- Collate = 8.0548e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.361278e-05 < 6.250000e-03 [93]\n", - "--- Max DT=3.444071e-01 > 1.000000e-01 [68981]\n", + "--- Min DT=3.624044e-05 < 6.250000e-03 [98]\n", + "--- Max DT=3.302480e-01 > 1.000000e-01 [67527]\n", "----------------------------------------------------------------------\n", - " Component | low: 93/100000\n", - " Component | high: 68981/100000\n", + " Component | low: 98/100000\n", + " Component | high: 67527/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=33.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00110145 [ 0.67 %]\n", - "Velocity : 0.00195703 [ 1.19 %]\n", - "Force : 0.054568 [ 33.10 %]\n", - "Coefs : 0.0264955 [ 16.07 %]\n", - "Output : 0.000930431 [ 0.56 %]\n", - "Levels : 0.00022934 [ 0.14 %]\n", - "Report : 1.282e-06 [ 0.00 %]\n", - "Balance : 2.14e-07 [ 0.00 %]\n", - "Adjust : 0.0795106 [ 48.23 %]\n", - "Total : 0.164849 [100.00 %]\n", + "Drift : 0.000497815 [ 0.41 %]\n", + "Velocity : 0.00134795 [ 1.12 %]\n", + "Force : 0.0416762 [ 34.54 %]\n", + "Coefs : 0.0176343 [ 14.61 %]\n", + "Output : 0.000842388 [ 0.70 %]\n", + "Levels : 0.000227074 [ 0.19 %]\n", + "Report : 6.13e-07 [ 0.00 %]\n", + "Balance : 6.36e-07 [ 0.00 %]\n", + "Adjust : 0.0583924 [ 48.39 %]\n", + "Total : 0.120663 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6373 576 160 28 5 \n", - "1 : 6357 593 158 17 17 \n", - "2 : 6322 639 152 23 6 \n", - "3 : 6369 604 141 19 9 \n", - "4 : 6342 597 163 26 14 \n", - "5 : 6371 597 140 23 11 \n", - "6 : 6328 616 158 27 13 \n", - "7 : 6306 620 167 36 13 \n", - "8 : 6332 641 146 11 12 \n", - "9 : 6330 633 145 18 16 \n", - "10 : 6347 605 149 27 14 \n", - "11 : 6312 624 172 21 13 \n", - "12 : 6334 604 165 23 16 \n", - "13 : 6354 619 146 21 14 \n", + "0 : 6301 674 136 18 13 \n", + "1 : 6348 627 131 24 12 \n", + "2 : 6335 605 163 23 16 \n", + "3 : 6373 595 135 22 17 \n", + "4 : 6334 623 153 22 10 \n", + "5 : 6372 588 153 16 13 \n", + "6 : 6310 626 169 23 14 \n", + "7 : 6305 651 147 25 14 \n", + "8 : 6380 589 140 26 7 \n", + "9 : 6379 589 143 20 11 \n", + "10 : 6354 594 163 21 10 \n", + "11 : 6301 655 143 26 17 \n", + "12 : 6364 603 136 23 16 \n", + "13 : 6378 607 138 22 9 \n", "\n", - "T : 88777 8568 2162 320 173 [100000]\n", + "T : 88834 8626 2050 311 179 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.6%\n", + "--- Coef/DT = 2.2%\n", "--- Adj/Tot = 0.9%\n", - "--- Update = 1.1137e-02 sec\n", - "--- Collate = 9.4786e-05 sec\n", + "--- Update = 1.0426e-02 sec\n", + "--- Collate = 8.9553e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.089979e-05 < 6.250000e-03 [94]\n", - "--- Max DT=3.454299e-01 > 1.000000e-01 [68961]\n", + "--- Min DT=9.416579e-05 < 6.250000e-03 [100]\n", + "--- Max DT=3.322863e-01 > 1.000000e-01 [67498]\n", "----------------------------------------------------------------------\n", - " Component | low: 94/100000\n", - " Component | high: 68961/100000\n", + " Component | low: 100/100000\n", + " Component | high: 67498/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=33.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000933133 [ 0.64 %]\n", - "Velocity : 0.00223675 [ 1.53 %]\n", - "Force : 0.0544508 [ 37.18 %]\n", - "Coefs : 0.0214529 [ 14.65 %]\n", - "Output : 0.000871906 [ 0.60 %]\n", - "Levels : 0.000187603 [ 0.13 %]\n", - "Report : 9.31e-07 [ 0.00 %]\n", - "Balance : 2.28e-07 [ 0.00 %]\n", - "Adjust : 0.0662565 [ 45.24 %]\n", - "Total : 0.146441 [100.00 %]\n", + "Drift : 0.000602922 [ 0.50 %]\n", + "Velocity : 0.00142418 [ 1.17 %]\n", + "Force : 0.0414875 [ 34.20 %]\n", + "Coefs : 0.0179906 [ 14.83 %]\n", + "Output : 0.00108727 [ 0.90 %]\n", + "Levels : 0.000256591 [ 0.21 %]\n", + "Report : 1.26e-06 [ 0.00 %]\n", + "Balance : 6.62e-07 [ 0.00 %]\n", + "Adjust : 0.0584311 [ 48.16 %]\n", + "Total : 0.121325 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6373 567 169 25 8 \n", - "1 : 6359 589 160 21 13 \n", - "2 : 6317 640 156 21 8 \n", - "3 : 6371 600 137 25 9 \n", - "4 : 6345 591 164 28 14 \n", - "5 : 6369 597 142 23 11 \n", - "6 : 6334 605 164 24 15 \n", - "7 : 6305 616 172 33 16 \n", - "8 : 6337 633 145 15 12 \n", - "9 : 6332 625 149 21 15 \n", - "10 : 6345 607 146 33 11 \n", - "11 : 6313 624 167 23 15 \n", - "12 : 6338 597 171 20 16 \n", - "13 : 6355 613 149 22 15 \n", + "0 : 6293 683 136 17 13 \n", + "1 : 6349 622 135 21 15 \n", + "2 : 6330 605 168 24 15 \n", + "3 : 6364 602 136 23 17 \n", + "4 : 6335 620 154 22 11 \n", + "5 : 6367 597 149 19 10 \n", + "6 : 6311 621 171 26 13 \n", + "7 : 6305 650 148 25 14 \n", + "8 : 6368 597 141 30 6 \n", + "9 : 6379 593 137 22 11 \n", + "10 : 6352 589 172 18 11 \n", + "11 : 6304 647 148 24 19 \n", + "12 : 6360 610 136 21 15 \n", + "13 : 6388 592 143 23 8 \n", "\n", - "T : 88793 8504 2191 334 178 [100000]\n", + "T : 88805 8628 2074 315 178 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.5%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.1221e-02 sec\n", - "--- Collate = 7.4167e-05 sec\n", + "--- Coef/DT = 2.6%\n", + "--- Adj/Tot = 0.9%\n", + "--- Update = 9.9986e-03 sec\n", + "--- Collate = 7.1678e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.767140e-05 < 6.250000e-03 [94]\n", - "--- Max DT=3.464962e-01 > 1.000000e-01 [68924]\n", + "--- Min DT=6.360218e-05 < 6.250000e-03 [92]\n", + "--- Max DT=3.342562e-01 > 1.000000e-01 [67457]\n", "----------------------------------------------------------------------\n", - " Component | low: 94/100000\n", - " Component | high: 68924/100000\n", + " Component | low: 92/100000\n", + " Component | high: 67457/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=33.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000922234 [ 0.65 %]\n", - "Velocity : 0.003032 [ 2.14 %]\n", - "Force : 0.0506493 [ 35.75 %]\n", - "Coefs : 0.0196781 [ 13.89 %]\n", - "Output : 0.000918838 [ 0.65 %]\n", - "Levels : 0.000203566 [ 0.14 %]\n", - "Report : 8.94e-07 [ 0.00 %]\n", - "Balance : 2.1e-07 [ 0.00 %]\n", - "Adjust : 0.066205 [ 46.73 %]\n", - "Total : 0.141663 [100.00 %]\n", + "Drift : 0.000637588 [ 0.53 %]\n", + "Velocity : 0.00135359 [ 1.12 %]\n", + "Force : 0.042082 [ 34.71 %]\n", + "Coefs : 0.0178441 [ 14.72 %]\n", + "Output : 0.000844241 [ 0.70 %]\n", + "Levels : 0.000214498 [ 0.18 %]\n", + "Report : 8.02e-07 [ 0.00 %]\n", + "Balance : 5.13e-07 [ 0.00 %]\n", + "Adjust : 0.0582103 [ 48.02 %]\n", + "Total : 0.12123 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6374 563 174 22 9 \n", - "1 : 6361 580 166 19 16 \n", - "2 : 6319 642 150 22 9 \n", - "3 : 6363 601 144 27 7 \n", - "4 : 6339 596 164 29 14 \n", - "5 : 6362 602 145 21 12 \n", - "6 : 6324 612 167 24 15 \n", - "7 : 6309 610 177 31 15 \n", - "8 : 6341 629 144 16 12 \n", - "9 : 6331 622 151 21 17 \n", - "10 : 6341 609 146 33 13 \n", - "11 : 6314 619 173 22 14 \n", - "12 : 6333 608 162 22 17 \n", - "13 : 6358 611 147 23 15 \n", + "0 : 6288 683 139 19 13 \n", + "1 : 6346 622 137 22 15 \n", + "2 : 6322 613 167 27 13 \n", + "3 : 6369 599 132 22 20 \n", + "4 : 6327 621 158 24 12 \n", + "5 : 6366 598 149 19 10 \n", + "6 : 6312 617 173 23 17 \n", + "7 : 6312 646 140 30 14 \n", + "8 : 6367 592 146 29 8 \n", + "9 : 6385 589 135 21 12 \n", + "10 : 6351 591 167 23 10 \n", + "11 : 6295 657 147 24 19 \n", + "12 : 6367 602 134 23 16 \n", + "13 : 6379 596 144 25 10 \n", "\n", - "T : 88769 8504 2210 332 185 [100000]\n", + "T : 88786 8626 2068 331 189 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.3%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.2759e-02 sec\n", - "--- Collate = 7.7971e-05 sec\n", + "--- Coef/DT = 2.5%\n", + "--- Adj/Tot = 0.9%\n", + "--- Update = 9.9251e-03 sec\n", + "--- Collate = 7.4900e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.145924e-06 < 6.250000e-03 [104]\n", - "--- Max DT=3.475857e-01 > 1.000000e-01 [68908]\n", + "--- Min DT=5.140423e-05 < 6.250000e-03 [87]\n", + "--- Max DT=3.361393e-01 > 1.000000e-01 [67426]\n", "----------------------------------------------------------------------\n", - " Component | low: 104/100000\n", - " Component | high: 68908/100000\n", + " Component | low: 87/100000\n", + " Component | high: 67426/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=33.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000838433 [ 0.58 %]\n", - "Velocity : 0.00250481 [ 1.74 %]\n", - "Force : 0.0510139 [ 35.34 %]\n", - "Coefs : 0.0199591 [ 13.83 %]\n", - "Output : 0.000853219 [ 0.59 %]\n", - "Levels : 0.000265781 [ 0.18 %]\n", - "Report : 8.16e-07 [ 0.00 %]\n", - "Balance : 2.93e-07 [ 0.00 %]\n", - "Adjust : 0.0688415 [ 47.70 %]\n", - "Total : 0.144332 [100.00 %]\n", + "Drift : 0.000488168 [ 0.41 %]\n", + "Velocity : 0.00132418 [ 1.10 %]\n", + "Force : 0.0417007 [ 34.66 %]\n", + "Coefs : 0.0179598 [ 14.93 %]\n", + "Output : 0.000847836 [ 0.70 %]\n", + "Levels : 0.000252496 [ 0.21 %]\n", + "Report : 1.672e-06 [ 0.00 %]\n", + "Balance : 1.009e-06 [ 0.00 %]\n", + "Adjust : 0.0577101 [ 47.96 %]\n", + "Total : 0.12033 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6380 555 176 22 9 \n", - "1 : 6358 580 169 22 13 \n", - "2 : 6317 641 155 16 13 \n", - "3 : 6358 601 145 29 9 \n", - "4 : 6346 584 171 26 15 \n", - "5 : 6359 605 145 22 11 \n", - "6 : 6321 613 176 22 10 \n", - "7 : 6302 616 175 34 15 \n", - "8 : 6337 632 147 15 11 \n", - "9 : 6326 624 152 22 18 \n", - "10 : 6345 604 147 30 16 \n", - "11 : 6310 612 181 23 16 \n", - "12 : 6328 611 163 21 19 \n", - "13 : 6364 601 150 26 13 \n", + "0 : 6284 682 144 19 13 \n", + "1 : 6349 615 138 27 13 \n", + "2 : 6319 615 166 27 15 \n", + "3 : 6369 591 141 20 21 \n", + "4 : 6324 624 155 22 17 \n", + "5 : 6364 596 153 17 12 \n", + "6 : 6318 615 169 24 16 \n", + "7 : 6310 643 149 25 15 \n", + "8 : 6370 581 150 32 9 \n", + "9 : 6383 590 130 26 13 \n", + "10 : 6348 588 173 22 11 \n", + "11 : 6296 651 154 24 17 \n", + "12 : 6364 603 137 23 15 \n", + "13 : 6372 599 149 24 10 \n", "\n", - "T : 88751 8479 2252 330 188 [100000]\n", + "T : 88770 8593 2108 332 197 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.2%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.1553e-02 sec\n", - "--- Collate = 7.0661e-05 sec\n", + "--- Coef/DT = 2.3%\n", + "--- Adj/Tot = 0.9%\n", + "--- Update = 9.9601e-03 sec\n", + "--- Collate = 7.9895e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.645048e-05 < 6.250000e-03 [110]\n", - "--- Max DT=3.485655e-01 > 1.000000e-01 [68878]\n", + "--- Min DT=2.804731e-05 < 6.250000e-03 [94]\n", + "--- Max DT=3.378947e-01 > 1.000000e-01 [67392]\n", "----------------------------------------------------------------------\n", - " Component | low: 110/100000\n", - " Component | high: 68878/100000\n", + " Component | low: 94/100000\n", + " Component | high: 67392/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=33.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000731554 [ 0.48 %]\n", - "Velocity : 0.00196439 [ 1.28 %]\n", - "Force : 0.0565361 [ 36.87 %]\n", - "Coefs : 0.0223179 [ 14.56 %]\n", - "Output : 0.000920303 [ 0.60 %]\n", - "Levels : 0.000251383 [ 0.16 %]\n", - "Report : 1.116e-06 [ 0.00 %]\n", - "Balance : 2.61e-07 [ 0.00 %]\n", - "Adjust : 0.0705544 [ 46.01 %]\n", - "Total : 0.153332 [100.00 %]\n", + "Drift : 0.0005475 [ 0.45 %]\n", + "Velocity : 0.00144167 [ 1.19 %]\n", + "Force : 0.0419885 [ 34.62 %]\n", + "Coefs : 0.0178089 [ 14.68 %]\n", + "Output : 0.000897331 [ 0.74 %]\n", + "Levels : 0.000164007 [ 0.14 %]\n", + "Report : 1.037e-06 [ 0.00 %]\n", + "Balance : 4.5e-07 [ 0.00 %]\n", + "Adjust : 0.0584036 [ 48.15 %]\n", + "Total : 0.121298 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6384 547 179 24 8 \n", - "1 : 6364 573 169 26 10 \n", - "2 : 6312 643 157 15 15 \n", - "3 : 6350 613 140 27 12 \n", - "4 : 6342 584 174 31 11 \n", - "5 : 6358 603 147 22 12 \n", - "6 : 6320 614 175 23 10 \n", - "7 : 6309 607 178 30 18 \n", - "8 : 6332 638 140 19 13 \n", - "9 : 6320 626 154 26 16 \n", - "10 : 6343 600 153 26 20 \n", - "11 : 6309 613 180 22 18 \n", - "12 : 6327 607 166 20 22 \n", - "13 : 6362 602 148 29 13 \n", + "0 : 6282 677 146 26 11 \n", + "1 : 6351 610 145 23 13 \n", + "2 : 6307 625 166 26 18 \n", + "3 : 6374 579 151 19 19 \n", + "4 : 6318 626 158 23 17 \n", + "5 : 6361 598 153 19 11 \n", + "6 : 6314 614 172 27 15 \n", + "7 : 6311 636 158 20 17 \n", + "8 : 6369 577 153 29 14 \n", + "9 : 6380 593 130 27 12 \n", + "10 : 6343 590 175 24 10 \n", + "11 : 6291 651 156 26 18 \n", + "12 : 6362 608 134 20 18 \n", + "13 : 6367 602 149 24 12 \n", "\n", - "T : 88732 8470 2260 340 198 [100000]\n", + "T : 88730 8586 2146 333 205 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.2%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.1567e-02 sec\n", - "--- Collate = 6.3293e-05 sec\n", + "--- Coef/DT = 2.6%\n", + "--- Adj/Tot = 1.0%\n", + "--- Update = 1.0210e-02 sec\n", + "--- Collate = 7.4224e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.515593e-05 < 6.250000e-03 [112]\n", - "--- Max DT=3.493519e-01 > 1.000000e-01 [68866]\n", + "--- Min DT=8.788998e-06 < 6.250000e-03 [102]\n", + "--- Max DT=3.396783e-01 > 1.000000e-01 [67346]\n", "----------------------------------------------------------------------\n", - " Component | low: 112/100000\n", - " Component | high: 68866/100000\n", + " Component | low: 102/100000\n", + " Component | high: 67346/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=34] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000862971 [ 0.57 %]\n", - "Velocity : 0.00267075 [ 1.76 %]\n", - "Force : 0.0529099 [ 34.83 %]\n", - "Coefs : 0.0220686 [ 14.53 %]\n", - "Output : 0.00717657 [ 4.72 %]\n", - "Levels : 0.000178057 [ 0.12 %]\n", - "Report : 1.555e-06 [ 0.00 %]\n", - "Balance : 6.19e-07 [ 0.00 %]\n", - "Adjust : 0.0660023 [ 43.44 %]\n", - "Total : 0.151924 [100.00 %]\n", + "Drift : 0.000493507 [ 0.38 %]\n", + "Velocity : 0.00120757 [ 0.94 %]\n", + "Force : 0.0428508 [ 33.40 %]\n", + "Coefs : 0.0182972 [ 14.26 %]\n", + "Output : 0.00566605 [ 4.42 %]\n", + "Levels : 0.000161901 [ 0.13 %]\n", + "Report : 1.441e-06 [ 0.00 %]\n", + "Balance : 8.35e-07 [ 0.00 %]\n", + "Adjust : 0.0595687 [ 46.43 %]\n", + "Total : 0.128291 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6383 541 181 27 10 \n", - "1 : 6365 570 169 25 13 \n", - "2 : 6307 640 162 18 15 \n", - "3 : 6350 603 150 25 14 \n", - "4 : 6342 583 175 31 11 \n", - "5 : 6358 603 146 20 15 \n", - "6 : 6328 599 184 18 13 \n", - "7 : 6313 596 182 31 20 \n", - "8 : 6329 640 141 18 14 \n", - "9 : 6320 624 159 22 17 \n", - "10 : 6335 604 157 25 21 \n", - "11 : 6306 614 181 23 18 \n", - "12 : 6322 614 166 17 23 \n", - "13 : 6353 610 154 24 13 \n", + "0 : 6281 677 148 22 14 \n", + "1 : 6351 606 150 21 14 \n", + "2 : 6305 621 174 23 19 \n", + "3 : 6379 570 154 22 17 \n", + "4 : 6317 624 159 24 18 \n", + "5 : 6357 601 153 19 12 \n", + "6 : 6323 598 180 24 17 \n", + "7 : 6309 632 164 24 13 \n", + "8 : 6372 571 155 25 19 \n", + "9 : 6376 593 132 26 15 \n", + "10 : 6332 601 173 23 13 \n", + "11 : 6287 651 158 27 19 \n", + "12 : 6357 614 132 20 19 \n", + "13 : 6369 590 158 24 13 \n", "\n", - "T : 88711 8441 2307 324 217 [100000]\n", + "T : 88715 8549 2190 324 222 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.0%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.1294e-02 sec\n", - "--- Collate = 6.9124e-05 sec\n", + "--- Coef/DT = 2.3%\n", + "--- Adj/Tot = 0.9%\n", + "--- Update = 1.0122e-02 sec\n", + "--- Collate = 7.8875e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.937897e-05 < 6.250000e-03 [115]\n", - "--- Max DT=3.502501e-01 > 1.000000e-01 [68865]\n", + "--- Min DT=1.978040e-05 < 6.250000e-03 [102]\n", + "--- Max DT=3.414930e-01 > 1.000000e-01 [67301]\n", "----------------------------------------------------------------------\n", - " Component | low: 115/100000\n", - " Component | high: 68865/100000\n", + " Component | low: 102/100000\n", + " Component | high: 67301/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=34.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000863388 [ 0.61 %]\n", - "Velocity : 0.00283812 [ 2.01 %]\n", - "Force : 0.0504825 [ 35.69 %]\n", - "Coefs : 0.0202229 [ 14.30 %]\n", - "Output : 0.00096824 [ 0.68 %]\n", - "Levels : 0.000204552 [ 0.14 %]\n", - "Report : 6.86e-07 [ 0.00 %]\n", - "Balance : 3.38e-07 [ 0.00 %]\n", - "Adjust : 0.0658325 [ 46.54 %]\n", - "Total : 0.141465 [100.00 %]\n", + "Drift : 0.000572731 [ 0.47 %]\n", + "Velocity : 0.00127517 [ 1.05 %]\n", + "Force : 0.0418134 [ 34.59 %]\n", + "Coefs : 0.0182106 [ 15.07 %]\n", + "Output : 0.000715161 [ 0.59 %]\n", + "Levels : 0.000166306 [ 0.14 %]\n", + "Report : 6.85e-07 [ 0.00 %]\n", + "Balance : 3.55e-07 [ 0.00 %]\n", + "Adjust : 0.0580765 [ 48.05 %]\n", + "Total : 0.120871 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6378 543 185 26 10 \n", - "1 : 6357 581 167 24 13 \n", - "2 : 6303 644 160 18 17 \n", - "3 : 6342 614 148 22 16 \n", - "4 : 6338 583 177 33 11 \n", - "5 : 6359 597 152 20 14 \n", - "6 : 6329 597 182 21 13 \n", - "7 : 6313 591 188 28 22 \n", - "8 : 6330 635 143 19 15 \n", - "9 : 6316 622 162 23 19 \n", - "10 : 6338 601 158 24 21 \n", - "11 : 6293 623 183 23 20 \n", - "12 : 6317 623 158 21 23 \n", - "13 : 6349 614 153 26 12 \n", + "0 : 6277 677 151 22 15 \n", + "1 : 6346 608 153 18 17 \n", + "2 : 6300 624 173 23 22 \n", + "3 : 6375 574 156 24 13 \n", + "4 : 6310 628 159 27 18 \n", + "5 : 6357 596 158 20 11 \n", + "6 : 6317 603 179 26 17 \n", + "7 : 6305 638 160 24 15 \n", + "8 : 6371 569 155 25 22 \n", + "9 : 6378 589 134 22 19 \n", + "10 : 6332 596 174 25 15 \n", + "11 : 6284 647 163 30 18 \n", + "12 : 6349 616 140 20 17 \n", + "13 : 6369 587 158 23 17 \n", "\n", - "T : 88662 8468 2316 328 226 [100000]\n", + "T : 88670 8552 2213 329 236 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.2%\n", + "--- Coef/DT = 2.8%\n", "--- Adj/Tot = 1.0%\n", - "--- Update = 1.1327e-02 sec\n", - "--- Collate = 7.5319e-05 sec\n", + "--- Update = 1.0101e-02 sec\n", + "--- Collate = 1.0326e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.972926e-06 < 6.250000e-03 [110]\n", - "--- Max DT=3.515503e-01 > 1.000000e-01 [68845]\n", + "--- Min DT=6.302781e-06 < 6.250000e-03 [115]\n", + "--- Max DT=3.433701e-01 > 1.000000e-01 [67260]\n", "----------------------------------------------------------------------\n", - " Component | low: 110/100000\n", - " Component | high: 68845/100000\n", + " Component | low: 115/100000\n", + " Component | high: 67260/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=34.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000752129 [ 0.53 %]\n", - "Velocity : 0.00308567 [ 2.17 %]\n", - "Force : 0.0510935 [ 35.89 %]\n", - "Coefs : 0.0206833 [ 14.53 %]\n", - "Output : 0.000904822 [ 0.64 %]\n", - "Levels : 0.000252684 [ 0.18 %]\n", - "Report : 9.74e-07 [ 0.00 %]\n", - "Balance : 2.28e-07 [ 0.00 %]\n", - "Adjust : 0.0655306 [ 46.03 %]\n", - "Total : 0.142358 [100.00 %]\n", + "Drift : 0.000509334 [ 0.42 %]\n", + "Velocity : 0.00124889 [ 1.02 %]\n", + "Force : 0.0424714 [ 34.73 %]\n", + "Coefs : 0.0182065 [ 14.89 %]\n", + "Output : 0.000691283 [ 0.57 %]\n", + "Levels : 0.000267893 [ 0.22 %]\n", + "Report : 7.65e-07 [ 0.00 %]\n", + "Balance : 4.95e-07 [ 0.00 %]\n", + "Adjust : 0.058846 [ 48.12 %]\n", + "Total : 0.122286 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6374 548 184 23 13 \n", - "1 : 6355 584 167 21 15 \n", - "2 : 6300 650 158 17 17 \n", - "3 : 6338 613 150 28 13 \n", - "4 : 6339 581 175 39 8 \n", - "5 : 6355 591 162 21 13 \n", - "6 : 6327 597 182 24 12 \n", - "7 : 6307 595 191 28 21 \n", - "8 : 6333 628 148 22 11 \n", - "9 : 6316 614 168 24 20 \n", - "10 : 6346 589 161 26 20 \n", - "11 : 6293 626 181 23 19 \n", - "12 : 6321 617 161 18 25 \n", - "13 : 6347 612 158 26 11 \n", + "0 : 6273 682 151 20 16 \n", + "1 : 6346 603 158 17 18 \n", + "2 : 6300 623 171 23 25 \n", + "3 : 6365 585 158 23 11 \n", + "4 : 6309 622 167 22 22 \n", + "5 : 6352 600 155 24 11 \n", + "6 : 6311 601 183 29 18 \n", + "7 : 6299 648 151 27 17 \n", + "8 : 6367 573 154 30 18 \n", + "9 : 6371 590 141 19 21 \n", + "10 : 6330 600 166 28 18 \n", + "11 : 6274 648 173 30 17 \n", + "12 : 6347 616 141 20 18 \n", + "13 : 6368 592 151 26 17 \n", "\n", - "T : 88651 8445 2346 340 218 [100000]\n", + "T : 88612 8583 2220 338 247 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.4%\n", + "--- Coef/DT = 3.3%\n", "--- Adj/Tot = 1.0%\n", - "--- Update = 1.1685e-02 sec\n", - "--- Collate = 6.5911e-05 sec\n", + "--- Update = 1.0423e-02 sec\n", + "--- Collate = 8.0750e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.612986e-06 < 6.250000e-03 [115]\n", - "--- Max DT=3.533663e-01 > 1.000000e-01 [68827]\n", + "--- Min DT=4.751122e-05 < 6.250000e-03 [121]\n", + "--- Max DT=3.452458e-01 > 1.000000e-01 [67227]\n", "----------------------------------------------------------------------\n", - " Component | low: 115/100000\n", - " Component | high: 68827/100000\n", + " Component | low: 121/100000\n", + " Component | high: 67227/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=34.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000858396 [ 0.61 %]\n", - "Velocity : 0.00251213 [ 1.78 %]\n", - "Force : 0.0510802 [ 36.17 %]\n", - "Coefs : 0.0197809 [ 14.01 %]\n", - "Output : 0.000837317 [ 0.59 %]\n", - "Levels : 0.000225874 [ 0.16 %]\n", - "Report : 1.008e-06 [ 0.00 %]\n", - "Balance : 2.26e-07 [ 0.00 %]\n", - "Adjust : 0.0658923 [ 46.65 %]\n", - "Total : 0.14124 [100.00 %]\n", + "Drift : 0.000508163 [ 0.41 %]\n", + "Velocity : 0.00130549 [ 1.07 %]\n", + "Force : 0.042086 [ 34.35 %]\n", + "Coefs : 0.0185947 [ 15.18 %]\n", + "Output : 0.000691082 [ 0.56 %]\n", + "Levels : 0.000288995 [ 0.24 %]\n", + "Report : 1.176e-06 [ 0.00 %]\n", + "Balance : 5.58e-07 [ 0.00 %]\n", + "Adjust : 0.0590053 [ 48.16 %]\n", + "Total : 0.122522 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6376 547 181 25 13 \n", - "1 : 6352 588 163 23 16 \n", - "2 : 6299 648 165 14 16 \n", - "3 : 6336 615 151 27 13 \n", - "4 : 6341 576 176 39 10 \n", - "5 : 6353 587 168 22 12 \n", - "6 : 6327 599 181 25 10 \n", - "7 : 6307 594 194 25 22 \n", - "8 : 6345 610 150 26 11 \n", - "9 : 6319 607 174 23 19 \n", - "10 : 6343 591 164 24 20 \n", - "11 : 6294 618 180 29 21 \n", - "12 : 6316 621 160 17 28 \n", - "13 : 6344 607 165 25 13 \n", + "0 : 6263 685 155 23 16 \n", + "1 : 6339 605 159 23 16 \n", + "2 : 6299 619 178 24 22 \n", + "3 : 6360 583 161 28 10 \n", + "4 : 6303 618 176 21 24 \n", + "5 : 6346 609 151 22 14 \n", + "6 : 6304 610 183 29 16 \n", + "7 : 6296 647 153 28 18 \n", + "8 : 6363 578 155 29 17 \n", + "9 : 6363 597 141 19 22 \n", + "10 : 6334 597 161 30 20 \n", + "11 : 6273 646 178 29 16 \n", + "12 : 6340 612 151 26 13 \n", + "13 : 6370 584 160 23 17 \n", "\n", - "T : 88652 8408 2372 344 224 [100000]\n", + "T : 88553 8590 2262 354 241 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.2%\n", + "--- Coef/DT = 3.0%\n", "--- Adj/Tot = 1.0%\n", - "--- Update = 1.0545e-02 sec\n", - "--- Collate = 8.6131e-05 sec\n", + "--- Update = 9.9786e-03 sec\n", + "--- Collate = 8.2721e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.760264e-06 < 6.250000e-03 [125]\n", - "--- Max DT=3.551810e-01 > 1.000000e-01 [68818]\n", + "--- Min DT=1.483152e-05 < 6.250000e-03 [141]\n", + "--- Max DT=3.472034e-01 > 1.000000e-01 [67206]\n", "----------------------------------------------------------------------\n", - " Component | low: 125/100000\n", - " Component | high: 68818/100000\n", + " Component | low: 141/100000\n", + " Component | high: 67206/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=34.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00062483 [ 0.44 %]\n", - "Velocity : 0.00213377 [ 1.52 %]\n", - "Force : 0.0516016 [ 36.69 %]\n", - "Coefs : 0.0201174 [ 14.30 %]\n", - "Output : 0.000918997 [ 0.65 %]\n", - "Levels : 0.000204141 [ 0.15 %]\n", - "Report : 9.44e-07 [ 0.00 %]\n", - "Balance : 2.02e-07 [ 0.00 %]\n", - "Adjust : 0.0649814 [ 46.20 %]\n", - "Total : 0.140641 [100.00 %]\n", + "Drift : 0.000559363 [ 0.45 %]\n", + "Velocity : 0.00146929 [ 1.18 %]\n", + "Force : 0.043815 [ 35.11 %]\n", + "Coefs : 0.0182026 [ 14.58 %]\n", + "Output : 0.000989386 [ 0.79 %]\n", + "Levels : 0.000220677 [ 0.18 %]\n", + "Report : 1.476e-06 [ 0.00 %]\n", + "Balance : 4.78e-07 [ 0.00 %]\n", + "Adjust : 0.0594958 [ 47.67 %]\n", + "Total : 0.124807 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6375 546 183 25 13 \n", - "1 : 6349 587 164 23 19 \n", - "2 : 6304 640 166 18 14 \n", - "3 : 6333 616 155 25 13 \n", - "4 : 6339 576 181 35 11 \n", - "5 : 6359 578 166 21 18 \n", - "6 : 6325 599 183 23 12 \n", - "7 : 6307 591 197 20 27 \n", - "8 : 6339 613 153 25 12 \n", - "9 : 6316 605 174 28 19 \n", - "10 : 6334 597 165 26 20 \n", - "11 : 6295 620 177 32 18 \n", - "12 : 6317 615 162 19 29 \n", - "13 : 6346 602 170 20 16 \n", + "0 : 6255 687 161 22 17 \n", + "1 : 6338 604 157 26 17 \n", + "2 : 6287 626 183 25 21 \n", + "3 : 6350 592 160 28 12 \n", + "4 : 6287 632 176 17 30 \n", + "5 : 6342 605 158 18 19 \n", + "6 : 6310 605 181 31 15 \n", + "7 : 6297 635 166 25 19 \n", + "8 : 6364 575 155 29 19 \n", + "9 : 6363 597 140 21 21 \n", + "10 : 6324 603 162 31 22 \n", + "11 : 6270 650 176 27 19 \n", + "12 : 6333 611 155 28 15 \n", + "13 : 6367 579 168 21 19 \n", "\n", - "T : 88638 8385 2396 340 241 [100000]\n", + "T : 88487 8601 2298 349 265 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.2%\n", + "--- Coef/DT = 2.3%\n", "--- Adj/Tot = 0.9%\n", - "--- Update = 1.4774e-02 sec\n", - "--- Collate = 7.7488e-05 sec\n", + "--- Update = 1.0082e-02 sec\n", + "--- Collate = 8.1490e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.318262e-05 < 6.250000e-03 [131]\n", - "--- Max DT=3.568672e-01 > 1.000000e-01 [68818]\n", + "--- Min DT=2.651183e-05 < 6.250000e-03 [149]\n", + "--- Max DT=3.491428e-01 > 1.000000e-01 [67168]\n", "----------------------------------------------------------------------\n", - " Component | low: 131/100000\n", - " Component | high: 68818/100000\n", + " Component | low: 149/100000\n", + " Component | high: 67168/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=34.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000941654 [ 0.62 %]\n", - "Velocity : 0.0028765 [ 1.91 %]\n", - "Force : 0.0526484 [ 34.94 %]\n", - "Coefs : 0.0218169 [ 14.48 %]\n", - "Output : 0.000915171 [ 0.61 %]\n", - "Levels : 0.000222525 [ 0.15 %]\n", - "Report : 9.76e-07 [ 0.00 %]\n", - "Balance : 2.01e-07 [ 0.00 %]\n", - "Adjust : 0.0712193 [ 47.26 %]\n", - "Total : 0.1507 [100.00 %]\n", + "Drift : 0.000503729 [ 0.42 %]\n", + "Velocity : 0.00128818 [ 1.06 %]\n", + "Force : 0.0423567 [ 34.92 %]\n", + "Coefs : 0.0181778 [ 14.99 %]\n", + "Output : 0.000720039 [ 0.59 %]\n", + "Levels : 0.000190713 [ 0.16 %]\n", + "Report : 1.095e-06 [ 0.00 %]\n", + "Balance : 6.21e-07 [ 0.00 %]\n", + "Adjust : 0.0579881 [ 47.81 %]\n", + "Total : 0.12129 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6375 546 181 26 14 \n", - "1 : 6345 592 160 25 20 \n", - "2 : 6301 633 177 15 16 \n", - "3 : 6324 620 157 31 10 \n", - "4 : 6338 578 180 33 13 \n", - "5 : 6359 570 174 19 20 \n", - "6 : 6325 593 187 24 13 \n", - "7 : 6301 587 203 22 29 \n", - "8 : 6340 605 159 22 16 \n", - "9 : 6315 601 177 31 18 \n", - "10 : 6329 599 164 31 19 \n", - "11 : 6291 617 182 34 18 \n", - "12 : 6314 611 166 21 30 \n", - "13 : 6336 614 164 24 16 \n", + "0 : 6261 673 168 21 19 \n", + "1 : 6331 607 163 25 16 \n", + "2 : 6280 632 185 23 22 \n", + "3 : 6355 588 161 25 13 \n", + "4 : 6287 633 176 16 30 \n", + "5 : 6339 603 162 19 19 \n", + "6 : 6309 607 183 29 14 \n", + "7 : 6295 635 168 26 18 \n", + "8 : 6358 578 159 28 19 \n", + "9 : 6364 593 141 23 21 \n", + "10 : 6324 601 159 34 24 \n", + "11 : 6273 642 181 27 19 \n", + "12 : 6334 606 160 25 17 \n", + "13 : 6368 577 170 19 20 \n", "\n", - "T : 88593 8366 2431 358 252 [100000]\n", + "T : 88478 8575 2336 340 271 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.4%\n", + "--- Coef/DT = 2.5%\n", "--- Adj/Tot = 1.0%\n", - "--- Update = 1.1794e-02 sec\n", - "--- Collate = 7.3045e-05 sec\n", + "--- Update = 1.0377e-02 sec\n", + "--- Collate = 8.7672e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.611180e-05 < 6.250000e-03 [145]\n", - "--- Max DT=3.583671e-01 > 1.000000e-01 [68813]\n", + "--- Min DT=1.128810e-05 < 6.250000e-03 [149]\n", + "--- Max DT=3.511187e-01 > 1.000000e-01 [67117]\n", "----------------------------------------------------------------------\n", - " Component | low: 145/100000\n", - " Component | high: 68813/100000\n", + " Component | low: 149/100000\n", + " Component | high: 67117/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=34.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000914224 [ 0.59 %]\n", - "Velocity : 0.00288539 [ 1.88 %]\n", - "Force : 0.0552008 [ 35.90 %]\n", - "Coefs : 0.0222058 [ 14.44 %]\n", - "Output : 0.00095065 [ 0.62 %]\n", - "Levels : 0.000208503 [ 0.14 %]\n", - "Report : 8.48e-07 [ 0.00 %]\n", - "Balance : 1.92e-07 [ 0.00 %]\n", - "Adjust : 0.0713211 [ 46.39 %]\n", - "Total : 0.153751 [100.00 %]\n", + "Drift : 0.000484715 [ 0.39 %]\n", + "Velocity : 0.00158079 [ 1.28 %]\n", + "Force : 0.043508 [ 35.23 %]\n", + "Coefs : 0.0181388 [ 14.69 %]\n", + "Output : 0.000917326 [ 0.74 %]\n", + "Levels : 0.000236482 [ 0.19 %]\n", + "Report : 1.378e-06 [ 0.00 %]\n", + "Balance : 5.46e-07 [ 0.00 %]\n", + "Adjust : 0.0585953 [ 47.44 %]\n", + "Total : 0.123513 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6368 552 182 27 13 \n", - "1 : 6350 587 159 26 20 \n", - "2 : 6302 629 176 16 19 \n", - "3 : 6316 625 160 29 12 \n", - "4 : 6336 579 179 33 15 \n", - "5 : 6352 577 173 19 21 \n", - "6 : 6320 594 189 24 15 \n", - "7 : 6306 579 204 22 31 \n", - "8 : 6338 605 160 24 15 \n", - "9 : 6305 607 180 29 21 \n", - "10 : 6328 593 167 39 15 \n", - "11 : 6289 617 185 29 22 \n", - "12 : 6315 605 170 25 27 \n", - "13 : 6337 611 164 26 16 \n", + "0 : 6257 668 175 21 21 \n", + "1 : 6332 601 166 27 16 \n", + "2 : 6275 636 183 23 25 \n", + "3 : 6357 589 155 27 14 \n", + "4 : 6281 636 175 22 28 \n", + "5 : 6335 603 166 20 18 \n", + "6 : 6295 622 177 33 15 \n", + "7 : 6294 639 162 29 18 \n", + "8 : 6353 584 155 32 18 \n", + "9 : 6361 590 142 28 21 \n", + "10 : 6322 603 161 32 24 \n", + "11 : 6267 646 180 30 19 \n", + "12 : 6329 609 160 27 17 \n", + "13 : 6361 576 172 23 22 \n", "\n", - "T : 88562 8360 2448 368 262 [100000]\n", + "T : 88419 8602 2329 374 276 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.9%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.1860e-02 sec\n", - "--- Collate = 7.9186e-05 sec\n", + "--- Coef/DT = 2.8%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 1.0888e-02 sec\n", + "--- Collate = 8.5884e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.543676e-05 < 6.250000e-03 [147]\n", - "--- Max DT=3.598351e-01 > 1.000000e-01 [68828]\n", + "--- Min DT=1.515324e-05 < 6.250000e-03 [161]\n", + "--- Max DT=3.529963e-01 > 1.000000e-01 [67083]\n", "----------------------------------------------------------------------\n", - " Component | low: 147/100000\n", - " Component | high: 68828/100000\n", + " Component | low: 161/100000\n", + " Component | high: 67083/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=34.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0010639 [ 0.72 %]\n", - "Velocity : 0.00296909 [ 2.02 %]\n", - "Force : 0.0514597 [ 34.99 %]\n", - "Coefs : 0.020041 [ 13.63 %]\n", - "Output : 0.000924129 [ 0.63 %]\n", - "Levels : 0.000260572 [ 0.18 %]\n", - "Report : 9.99e-07 [ 0.00 %]\n", - "Balance : 2.01e-07 [ 0.00 %]\n", - "Adjust : 0.0702827 [ 47.79 %]\n", - "Total : 0.14706 [100.00 %]\n", + "Drift : 0.000569392 [ 0.45 %]\n", + "Velocity : 0.00150264 [ 1.18 %]\n", + "Force : 0.0456609 [ 35.88 %]\n", + "Coefs : 0.0183778 [ 14.44 %]\n", + "Output : 0.000918465 [ 0.72 %]\n", + "Levels : 0.000313202 [ 0.25 %]\n", + "Report : 1.32e-06 [ 0.00 %]\n", + "Balance : 7.44e-07 [ 0.00 %]\n", + "Adjust : 0.0598684 [ 47.04 %]\n", + "Total : 0.127273 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6376 539 186 25 16 \n", - "1 : 6349 591 158 25 19 \n", - "2 : 6300 630 173 21 18 \n", - "3 : 6317 625 157 27 16 \n", - "4 : 6331 582 183 32 14 \n", - "5 : 6349 578 170 26 19 \n", - "6 : 6314 595 195 23 15 \n", - "7 : 6302 580 205 25 30 \n", - "8 : 6336 602 166 23 15 \n", - "9 : 6303 606 182 31 20 \n", - "10 : 6326 590 170 41 15 \n", - "11 : 6286 622 183 29 22 \n", - "12 : 6312 606 172 25 27 \n", - "13 : 6339 601 169 30 15 \n", + "0 : 6248 672 180 21 21 \n", + "1 : 6321 610 167 27 17 \n", + "2 : 6268 641 182 29 22 \n", + "3 : 6361 579 159 31 12 \n", + "4 : 6279 632 184 25 22 \n", + "5 : 6331 607 169 18 17 \n", + "6 : 6286 622 180 37 17 \n", + "7 : 6295 639 159 28 21 \n", + "8 : 6350 580 163 30 19 \n", + "9 : 6358 598 139 27 20 \n", + "10 : 6316 610 162 32 22 \n", + "11 : 6271 639 181 31 20 \n", + "12 : 6322 610 164 30 16 \n", + "13 : 6347 587 174 24 22 \n", "\n", - "T : 88540 8347 2469 383 261 [100000]\n", + "T : 88353 8626 2363 390 268 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.2%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.0608e-02 sec\n", - "--- Collate = 8.8212e-05 sec\n", + "--- Coef/DT = 2.3%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 1.0737e-02 sec\n", + "--- Collate = 9.3954e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.410684e-05 < 6.250000e-03 [143]\n", - "--- Max DT=3.610486e-01 > 1.000000e-01 [68840]\n", + "--- Min DT=1.967267e-05 < 6.250000e-03 [152]\n", + "--- Max DT=3.548404e-01 > 1.000000e-01 [67064]\n", "----------------------------------------------------------------------\n", - " Component | low: 143/100000\n", - " Component | high: 68840/100000\n", + " Component | low: 152/100000\n", + " Component | high: 67064/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=34.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000881915 [ 0.62 %]\n", - "Velocity : 0.00265102 [ 1.85 %]\n", - "Force : 0.0525993 [ 36.70 %]\n", - "Coefs : 0.0213549 [ 14.90 %]\n", - "Output : 0.000819638 [ 0.57 %]\n", - "Levels : 0.000199696 [ 0.14 %]\n", - "Report : 8.22e-07 [ 0.00 %]\n", - "Balance : 1.56e-07 [ 0.00 %]\n", - "Adjust : 0.0647649 [ 45.19 %]\n", - "Total : 0.143328 [100.00 %]\n", + "Drift : 0.000580797 [ 0.46 %]\n", + "Velocity : 0.00141398 [ 1.12 %]\n", + "Force : 0.0456826 [ 36.04 %]\n", + "Coefs : 0.0188002 [ 14.83 %]\n", + "Output : 0.0007597 [ 0.60 %]\n", + "Levels : 0.000274906 [ 0.22 %]\n", + "Report : 9.94e-07 [ 0.00 %]\n", + "Balance : 4.6e-07 [ 0.00 %]\n", + "Adjust : 0.0592008 [ 46.70 %]\n", + "Total : 0.126763 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6373 542 182 29 16 \n", - "1 : 6345 596 159 21 21 \n", - "2 : 6303 628 171 24 16 \n", - "3 : 6314 627 163 23 15 \n", - "4 : 6333 576 187 27 19 \n", - "5 : 6344 576 178 23 21 \n", - "6 : 6309 599 197 24 13 \n", - "7 : 6299 577 216 26 24 \n", - "8 : 6338 594 175 20 15 \n", - "9 : 6301 603 187 31 20 \n", - "10 : 6327 591 165 40 19 \n", - "11 : 6282 626 181 29 24 \n", - "12 : 6311 608 175 22 26 \n", - "13 : 6328 607 175 29 15 \n", + "0 : 6249 666 182 23 22 \n", + "1 : 6310 615 172 28 17 \n", + "2 : 6262 636 190 31 23 \n", + "3 : 6364 575 151 36 16 \n", + "4 : 6275 629 187 28 23 \n", + "5 : 6331 602 174 22 13 \n", + "6 : 6289 614 187 31 21 \n", + "7 : 6293 637 161 29 22 \n", + "8 : 6345 575 171 34 17 \n", + "9 : 6352 602 142 26 20 \n", + "10 : 6306 618 164 28 26 \n", + "11 : 6286 626 178 31 21 \n", + "12 : 6311 623 157 34 17 \n", + "13 : 6348 583 176 24 23 \n", "\n", - "T : 88507 8350 2511 368 264 [100000]\n", + "T : 88321 8601 2392 405 281 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.2%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.2668e-02 sec\n", - "--- Collate = 8.2251e-05 sec\n", + "--- Coef/DT = 2.9%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 1.0395e-02 sec\n", + "--- Collate = 9.4686e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.038975e-05 < 6.250000e-03 [148]\n", - "--- Max DT=3.624258e-01 > 1.000000e-01 [68825]\n", + "--- Min DT=1.843270e-07 < 6.250000e-03 [142]\n", + "--- Max DT=3.565953e-01 > 1.000000e-01 [67035]\n", "----------------------------------------------------------------------\n", - " Component | low: 148/100000\n", - " Component | high: 68825/100000\n", + " Component | low: 142/100000\n", + " Component | high: 67035/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=34.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000885162 [ 0.61 %]\n", - "Velocity : 0.00256019 [ 1.76 %]\n", - "Force : 0.0521554 [ 35.88 %]\n", - "Coefs : 0.0211088 [ 14.52 %]\n", - "Output : 0.00091306 [ 0.63 %]\n", - "Levels : 0.000234929 [ 0.16 %]\n", - "Report : 9.9e-07 [ 0.00 %]\n", - "Balance : 2.27e-07 [ 0.00 %]\n", - "Adjust : 0.0674559 [ 46.40 %]\n", - "Total : 0.145371 [100.00 %]\n", + "Drift : 0.000563505 [ 0.45 %]\n", + "Velocity : 0.00183096 [ 1.47 %]\n", + "Force : 0.0435839 [ 34.96 %]\n", + "Coefs : 0.0181916 [ 14.59 %]\n", + "Output : 0.00103342 [ 0.83 %]\n", + "Levels : 0.000232951 [ 0.19 %]\n", + "Report : 1.113e-06 [ 0.00 %]\n", + "Balance : 4.46e-07 [ 0.00 %]\n", + "Adjust : 0.0591869 [ 47.47 %]\n", + "Total : 0.124682 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6368 548 179 31 16 \n", - "1 : 6344 596 162 18 22 \n", - "2 : 6301 626 174 26 15 \n", - "3 : 6316 624 161 25 16 \n", - "4 : 6326 581 187 29 19 \n", - "5 : 6343 573 184 24 18 \n", - "6 : 6309 595 201 23 14 \n", - "7 : 6299 576 214 27 26 \n", - "8 : 6342 582 180 25 13 \n", - "9 : 6297 611 180 34 20 \n", - "10 : 6324 591 171 37 19 \n", - "11 : 6279 625 186 27 25 \n", - "12 : 6307 618 169 24 24 \n", - "13 : 6325 610 174 29 16 \n", + "0 : 6240 671 181 29 21 \n", + "1 : 6313 609 172 32 16 \n", + "2 : 6250 645 192 32 23 \n", + "3 : 6355 586 146 33 22 \n", + "4 : 6272 631 184 33 22 \n", + "5 : 6333 595 176 25 13 \n", + "6 : 6286 615 189 30 22 \n", + "7 : 6296 631 166 27 22 \n", + "8 : 6343 572 178 34 15 \n", + "9 : 6347 607 139 31 18 \n", + "10 : 6298 625 166 29 24 \n", + "11 : 6285 623 179 35 20 \n", + "12 : 6309 617 164 33 19 \n", + "13 : 6341 586 181 22 24 \n", "\n", - "T : 88480 8356 2522 379 263 [100000]\n", + "T : 88268 8613 2413 425 281 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 2.6%\n", "--- Adj/Tot = 1.0%\n", - "--- Update = 1.1906e-02 sec\n", - "--- Collate = 8.1723e-05 sec\n", + "--- Update = 1.0665e-02 sec\n", + "--- Collate = 8.5416e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.570104e-06 < 6.250000e-03 [141]\n", - "--- Max DT=3.637305e-01 > 1.000000e-01 [68838]\n", + "--- Min DT=1.367814e-05 < 6.250000e-03 [158]\n", + "--- Max DT=3.583084e-01 > 1.000000e-01 [67005]\n", "----------------------------------------------------------------------\n", - " Component | low: 141/100000\n", - " Component | high: 68838/100000\n", + " Component | low: 158/100000\n", + " Component | high: 67005/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=35] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000704281 [ 0.44 %]\n", - "Velocity : 0.00235927 [ 1.48 %]\n", - "Force : 0.0562456 [ 35.20 %]\n", - "Coefs : 0.0228026 [ 14.27 %]\n", - "Output : 0.00783904 [ 4.91 %]\n", - "Levels : 0.00021933 [ 0.14 %]\n", - "Report : 1.224e-06 [ 0.00 %]\n", - "Balance : 4.98e-07 [ 0.00 %]\n", - "Adjust : 0.0695644 [ 43.53 %]\n", - "Total : 0.159792 [100.00 %]\n", + "Drift : 0.000696725 [ 0.53 %]\n", + "Velocity : 0.00174457 [ 1.34 %]\n", + "Force : 0.0446343 [ 34.25 %]\n", + "Coefs : 0.0179181 [ 13.75 %]\n", + "Output : 0.00590708 [ 4.53 %]\n", + "Levels : 0.00023089 [ 0.18 %]\n", + "Report : 1.627e-06 [ 0.00 %]\n", + "Balance : 6.61e-07 [ 0.00 %]\n", + "Adjust : 0.0591167 [ 45.37 %]\n", + "Total : 0.130307 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6359 554 180 30 19 \n", - "1 : 6342 595 165 19 21 \n", - "2 : 6306 618 174 24 20 \n", - "3 : 6313 620 168 25 16 \n", - "4 : 6324 586 184 28 20 \n", - "5 : 6343 570 189 21 19 \n", - "6 : 6302 597 202 27 14 \n", - "7 : 6299 577 211 26 29 \n", - "8 : 6338 586 176 27 15 \n", - "9 : 6293 611 185 35 18 \n", - "10 : 6319 600 171 33 19 \n", - "11 : 6277 621 187 32 25 \n", - "12 : 6303 620 175 20 24 \n", - "13 : 6325 604 184 26 15 \n", + "0 : 6234 665 191 31 21 \n", + "1 : 6306 609 178 30 19 \n", + "2 : 6256 639 196 33 18 \n", + "3 : 6359 580 148 32 23 \n", + "4 : 6263 644 181 29 25 \n", + "5 : 6328 602 173 22 17 \n", + "6 : 6287 613 187 33 22 \n", + "7 : 6298 630 164 28 22 \n", + "8 : 6338 572 186 33 13 \n", + "9 : 6342 609 137 35 19 \n", + "10 : 6297 623 165 35 22 \n", + "11 : 6276 625 189 32 20 \n", + "12 : 6303 617 169 33 20 \n", + "13 : 6346 579 181 27 21 \n", "\n", - "T : 88443 8359 2551 373 274 [100000]\n", + "T : 88233 8607 2445 433 282 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.1%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.1270e-02 sec\n", - "--- Collate = 1.0377e-04 sec\n", + "--- Coef/DT = 2.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 1.0606e-02 sec\n", + "--- Collate = 9.5380e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.057703e-05 < 6.250000e-03 [156]\n", - "--- Max DT=3.651697e-01 > 1.000000e-01 [68850]\n", + "--- Min DT=8.818309e-06 < 6.250000e-03 [158]\n", + "--- Max DT=3.599044e-01 > 1.000000e-01 [66967]\n", "----------------------------------------------------------------------\n", - " Component | low: 156/100000\n", - " Component | high: 68850/100000\n", + " Component | low: 158/100000\n", + " Component | high: 66967/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=35.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00105425 [ 0.70 %]\n", - "Velocity : 0.00284838 [ 1.89 %]\n", - "Force : 0.0554472 [ 36.80 %]\n", - "Coefs : 0.0224408 [ 14.89 %]\n", - "Output : 0.000951717 [ 0.63 %]\n", - "Levels : 0.000247146 [ 0.16 %]\n", - "Report : 1.056e-06 [ 0.00 %]\n", - "Balance : 2.7e-07 [ 0.00 %]\n", - "Adjust : 0.0676273 [ 44.88 %]\n", - "Total : 0.150674 [100.00 %]\n", + "Drift : 0.000623488 [ 0.50 %]\n", + "Velocity : 0.00145273 [ 1.18 %]\n", + "Force : 0.0440557 [ 35.65 %]\n", + "Coefs : 0.0187552 [ 15.18 %]\n", + "Output : 0.000728488 [ 0.59 %]\n", + "Levels : 0.000310799 [ 0.25 %]\n", + "Report : 1.133e-06 [ 0.00 %]\n", + "Balance : 8.85e-07 [ 0.00 %]\n", + "Adjust : 0.0576119 [ 46.62 %]\n", + "Total : 0.123589 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6358 549 183 36 16 \n", - "1 : 6346 585 168 26 17 \n", - "2 : 6303 616 181 19 23 \n", - "3 : 6310 617 175 19 21 \n", - "4 : 6317 592 183 28 22 \n", - "5 : 6346 568 189 20 19 \n", - "6 : 6309 577 212 30 14 \n", - "7 : 6292 588 206 26 30 \n", - "8 : 6346 578 173 26 19 \n", - "9 : 6290 614 182 41 15 \n", - "10 : 6320 593 179 33 17 \n", - "11 : 6275 620 195 26 26 \n", - "12 : 6299 617 179 19 28 \n", - "13 : 6325 604 182 31 12 \n", + "0 : 6230 670 189 31 22 \n", + "1 : 6302 611 181 30 18 \n", + "2 : 6252 653 177 39 21 \n", + "3 : 6342 593 150 34 23 \n", + "4 : 6257 642 187 31 25 \n", + "5 : 6330 598 180 20 14 \n", + "6 : 6278 618 188 38 20 \n", + "7 : 6300 622 171 26 23 \n", + "8 : 6338 564 183 39 18 \n", + "9 : 6332 618 138 36 18 \n", + "10 : 6288 625 179 31 19 \n", + "11 : 6266 627 197 35 17 \n", + "12 : 6300 618 169 36 19 \n", + "13 : 6343 576 186 28 21 \n", "\n", - "T : 88436 8318 2587 380 279 [100000]\n", + "T : 88158 8635 2475 454 278 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.1%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.2900e-02 sec\n", - "--- Collate = 7.1836e-05 sec\n", + "--- Coef/DT = 2.5%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 1.0044e-02 sec\n", + "--- Collate = 8.4986e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.669911e-06 < 6.250000e-03 [164]\n", - "--- Max DT=3.665254e-01 > 1.000000e-01 [68858]\n", + "--- Min DT=7.600781e-07 < 6.250000e-03 [162]\n", + "--- Max DT=3.615340e-01 > 1.000000e-01 [66947]\n", "----------------------------------------------------------------------\n", - " Component | low: 164/100000\n", - " Component | high: 68858/100000\n", + " Component | low: 162/100000\n", + " Component | high: 66947/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=35.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000891267 [ 0.61 %]\n", - "Velocity : 0.00283964 [ 1.93 %]\n", - "Force : 0.0525253 [ 35.79 %]\n", - "Coefs : 0.0205504 [ 14.00 %]\n", - "Output : 0.000812437 [ 0.55 %]\n", - "Levels : 0.000260644 [ 0.18 %]\n", - "Report : 8.94e-07 [ 0.00 %]\n", - "Balance : 1.95e-07 [ 0.00 %]\n", - "Adjust : 0.0688206 [ 46.90 %]\n", - "Total : 0.146753 [100.00 %]\n", + "Drift : 0.00053085 [ 0.43 %]\n", + "Velocity : 0.00140549 [ 1.14 %]\n", + "Force : 0.0436235 [ 35.38 %]\n", + "Coefs : 0.0182341 [ 14.79 %]\n", + "Output : 0.00071126 [ 0.58 %]\n", + "Levels : 0.000236754 [ 0.19 %]\n", + "Report : 1.302e-06 [ 0.00 %]\n", + "Balance : 5.94e-07 [ 0.00 %]\n", + "Adjust : 0.0584983 [ 47.45 %]\n", + "Total : 0.123284 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6355 549 186 34 18 \n", - "1 : 6347 580 168 27 20 \n", - "2 : 6310 605 182 20 25 \n", - "3 : 6308 606 188 20 20 \n", - "4 : 6311 595 183 27 26 \n", - "5 : 6345 566 193 23 15 \n", - "6 : 6307 577 212 31 15 \n", - "7 : 6292 589 200 33 28 \n", - "8 : 6343 583 168 27 21 \n", - "9 : 6288 615 182 39 18 \n", - "10 : 6314 599 178 29 22 \n", - "11 : 6278 622 190 26 26 \n", - "12 : 6296 611 188 21 26 \n", - "13 : 6325 597 188 32 12 \n", + "0 : 6225 670 194 31 22 \n", + "1 : 6304 605 186 28 19 \n", + "2 : 6248 655 176 41 22 \n", + "3 : 6350 581 151 40 20 \n", + "4 : 6252 645 188 33 24 \n", + "5 : 6323 601 182 21 15 \n", + "6 : 6273 616 192 44 17 \n", + "7 : 6293 624 171 32 22 \n", + "8 : 6328 573 184 35 22 \n", + "9 : 6329 621 138 35 19 \n", + "10 : 6284 633 171 36 18 \n", + "11 : 6266 617 204 37 18 \n", + "12 : 6291 627 167 37 20 \n", + "13 : 6333 582 190 26 23 \n", "\n", - "T : 88419 8294 2606 389 292 [100000]\n", + "T : 88099 8650 2494 476 281 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.6%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.2592e-02 sec\n", - "--- Collate = 1.0295e-04 sec\n", + "--- Coef/DT = 2.7%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 1.0063e-02 sec\n", + "--- Collate = 8.3161e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.689697e-05 < 6.250000e-03 [162]\n", - "--- Max DT=3.678641e-01 > 1.000000e-01 [68879]\n", + "--- Min DT=4.243512e-05 < 6.250000e-03 [157]\n", + "--- Max DT=3.631034e-01 > 1.000000e-01 [66932]\n", "----------------------------------------------------------------------\n", - " Component | low: 162/100000\n", - " Component | high: 68879/100000\n", + " Component | low: 157/100000\n", + " Component | high: 66932/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=35.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000838684 [ 0.54 %]\n", - "Velocity : 0.00245925 [ 1.57 %]\n", - "Force : 0.0574725 [ 36.73 %]\n", - "Coefs : 0.0229133 [ 14.64 %]\n", - "Output : 0.000902891 [ 0.58 %]\n", - "Levels : 0.000261611 [ 0.17 %]\n", - "Report : 1.01e-06 [ 0.00 %]\n", - "Balance : 2.08e-07 [ 0.00 %]\n", - "Adjust : 0.0715752 [ 45.74 %]\n", - "Total : 0.156479 [100.00 %]\n", + "Drift : 0.00051472 [ 0.42 %]\n", + "Velocity : 0.00189136 [ 1.55 %]\n", + "Force : 0.043151 [ 35.31 %]\n", + "Coefs : 0.0178983 [ 14.64 %]\n", + "Output : 0.000698697 [ 0.57 %]\n", + "Levels : 0.000194929 [ 0.16 %]\n", + "Report : 9.89e-07 [ 0.00 %]\n", + "Balance : 4.44e-07 [ 0.00 %]\n", + "Adjust : 0.0578307 [ 47.32 %]\n", + "Total : 0.122218 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6348 550 193 36 15 \n", - "1 : 6336 589 167 32 18 \n", - "2 : 6305 613 178 23 23 \n", - "3 : 6299 609 189 26 19 \n", - "4 : 6309 590 190 32 21 \n", - "5 : 6348 559 191 31 13 \n", - "6 : 6303 574 222 29 14 \n", - "7 : 6288 582 209 37 26 \n", - "8 : 6336 582 173 33 18 \n", - "9 : 6281 615 188 38 20 \n", - "10 : 6309 605 170 36 22 \n", - "11 : 6277 618 195 27 25 \n", - "12 : 6293 612 185 29 23 \n", - "13 : 6324 585 201 31 13 \n", + "0 : 6225 667 196 31 23 \n", + "1 : 6302 602 193 27 18 \n", + "2 : 6241 659 177 43 22 \n", + "3 : 6345 585 150 40 22 \n", + "4 : 6247 650 192 31 22 \n", + "5 : 6323 597 185 23 14 \n", + "6 : 6276 613 186 50 17 \n", + "7 : 6282 636 169 32 23 \n", + "8 : 6324 573 189 31 25 \n", + "9 : 6330 616 146 32 18 \n", + "10 : 6275 634 180 33 20 \n", + "11 : 6267 619 198 36 22 \n", + "12 : 6285 627 175 36 19 \n", + "13 : 6337 573 194 28 22 \n", "\n", - "T : 88356 8283 2651 440 270 [100000]\n", + "T : 88059 8651 2530 473 287 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.3%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.0614e-02 sec\n", - "--- Collate = 8.4946e-05 sec\n", + "--- Coef/DT = 2.7%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 9.9834e-03 sec\n", + "--- Collate = 7.7336e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.260311e-05 < 6.250000e-03 [162]\n", - "--- Max DT=3.692113e-01 > 1.000000e-01 [68905]\n", + "--- Min DT=9.082725e-06 < 6.250000e-03 [166]\n", + "--- Max DT=3.646465e-01 > 1.000000e-01 [66922]\n", "----------------------------------------------------------------------\n", - " Component | low: 162/100000\n", - " Component | high: 68905/100000\n", + " Component | low: 166/100000\n", + " Component | high: 66922/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=35.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000709166 [ 0.46 %]\n", - "Velocity : 0.002631 [ 1.71 %]\n", - "Force : 0.0575049 [ 37.45 %]\n", - "Coefs : 0.0238426 [ 15.53 %]\n", - "Output : 0.000949913 [ 0.62 %]\n", - "Levels : 0.000237607 [ 0.15 %]\n", - "Report : 1.066e-06 [ 0.00 %]\n", - "Balance : 1.83e-07 [ 0.00 %]\n", - "Adjust : 0.0676299 [ 44.04 %]\n", - "Total : 0.153565 [100.00 %]\n", + "Drift : 0.000570426 [ 0.47 %]\n", + "Velocity : 0.00131808 [ 1.08 %]\n", + "Force : 0.0429165 [ 35.16 %]\n", + "Coefs : 0.0184103 [ 15.08 %]\n", + "Output : 0.000702829 [ 0.58 %]\n", + "Levels : 0.000214639 [ 0.18 %]\n", + "Report : 1.062e-06 [ 0.00 %]\n", + "Balance : 4.18e-07 [ 0.00 %]\n", + "Adjust : 0.0579018 [ 47.43 %]\n", + "Total : 0.122078 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6347 549 189 41 16 \n", - "1 : 6335 585 169 32 21 \n", - "2 : 6304 604 182 27 25 \n", - "3 : 6295 609 190 34 14 \n", - "4 : 6303 589 192 34 24 \n", - "5 : 6353 546 196 32 15 \n", - "6 : 6304 571 224 27 16 \n", - "7 : 6282 583 213 38 26 \n", - "8 : 6338 576 172 40 16 \n", - "9 : 6279 612 197 34 20 \n", - "10 : 6301 613 171 32 25 \n", - "11 : 6275 623 193 26 25 \n", - "12 : 6288 615 188 31 20 \n", - "13 : 6329 573 209 29 14 \n", + "0 : 6227 668 186 37 24 \n", + "1 : 6299 593 201 30 19 \n", + "2 : 6240 657 181 43 21 \n", + "3 : 6354 577 150 37 24 \n", + "4 : 6234 660 188 33 27 \n", + "5 : 6327 589 189 21 16 \n", + "6 : 6277 605 194 43 23 \n", + "7 : 6286 630 175 28 23 \n", + "8 : 6313 582 185 35 27 \n", + "9 : 6326 614 150 34 18 \n", + "10 : 6270 639 180 31 22 \n", + "11 : 6263 619 198 40 22 \n", + "12 : 6274 628 181 37 22 \n", + "13 : 6328 577 196 31 22 \n", "\n", - "T : 88333 8248 2685 457 277 [100000]\n", + "T : 88018 8638 2554 480 310 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.7%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.3294e-02 sec\n", - "--- Collate = 8.8975e-05 sec\n", + "--- Coef/DT = 2.8%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 9.9881e-03 sec\n", + "--- Collate = 7.4494e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.619076e-05 < 6.250000e-03 [167]\n", - "--- Max DT=3.704275e-01 > 1.000000e-01 [68923]\n", + "--- Min DT=1.548266e-05 < 6.250000e-03 [167]\n", + "--- Max DT=3.660795e-01 > 1.000000e-01 [66918]\n", "----------------------------------------------------------------------\n", " Component | low: 167/100000\n", - " Component | high: 68923/100000\n", + " Component | high: 66918/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=35.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00088483 [ 0.58 %]\n", - "Velocity : 0.00263837 [ 1.74 %]\n", - "Force : 0.0530699 [ 35.05 %]\n", - "Coefs : 0.0210879 [ 13.93 %]\n", - "Output : 0.000861242 [ 0.57 %]\n", - "Levels : 0.000292998 [ 0.19 %]\n", - "Report : 1.302e-06 [ 0.00 %]\n", - "Balance : 3.46e-07 [ 0.00 %]\n", - "Adjust : 0.0725196 [ 47.89 %]\n", - "Total : 0.151414 [100.00 %]\n", + "Drift : 0.000524561 [ 0.43 %]\n", + "Velocity : 0.00133234 [ 1.08 %]\n", + "Force : 0.0431332 [ 35.08 %]\n", + "Coefs : 0.0185233 [ 15.06 %]\n", + "Output : 0.000673756 [ 0.55 %]\n", + "Levels : 0.000242934 [ 0.20 %]\n", + "Report : 7.85e-07 [ 0.00 %]\n", + "Balance : 5.35e-07 [ 0.00 %]\n", + "Adjust : 0.0584831 [ 47.56 %]\n", + "Total : 0.122956 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6348 550 191 35 18 \n", - "1 : 6325 591 174 30 22 \n", - "2 : 6307 597 187 25 26 \n", - "3 : 6289 616 192 29 16 \n", - "4 : 6295 592 198 33 24 \n", - "5 : 6351 544 197 37 13 \n", - "6 : 6301 575 220 28 18 \n", - "7 : 6272 592 211 41 26 \n", - "8 : 6336 569 183 35 19 \n", - "9 : 6285 607 193 36 21 \n", - "10 : 6296 607 181 33 25 \n", - "11 : 6271 623 194 31 23 \n", - "12 : 6288 614 188 30 22 \n", - "13 : 6322 579 202 35 16 \n", + "0 : 6228 661 189 38 26 \n", + "1 : 6300 592 200 33 17 \n", + "2 : 6239 652 184 43 24 \n", + "3 : 6353 571 157 37 24 \n", + "4 : 6231 660 190 35 26 \n", + "5 : 6323 588 193 23 15 \n", + "6 : 6280 598 196 51 17 \n", + "7 : 6280 629 178 33 22 \n", + "8 : 6307 585 187 35 28 \n", + "9 : 6323 611 161 28 19 \n", + "10 : 6263 641 178 33 27 \n", + "11 : 6250 632 199 38 23 \n", + "12 : 6263 638 182 37 22 \n", + "13 : 6328 580 191 35 20 \n", "\n", - "T : 88286 8256 2711 458 289 [100000]\n", + "T : 87968 8638 2585 499 310 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.3%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.4393e-02 sec\n", - "--- Collate = 8.4811e-05 sec\n", + "--- Coef/DT = 2.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 1.0522e-02 sec\n", + "--- Collate = 7.9798e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.621482e-06 < 6.250000e-03 [178]\n", - "--- Max DT=3.714977e-01 > 1.000000e-01 [68937]\n", + "--- Min DT=9.883217e-06 < 6.250000e-03 [181]\n", + "--- Max DT=3.673676e-01 > 1.000000e-01 [66899]\n", "----------------------------------------------------------------------\n", - " Component | low: 178/100000\n", - " Component | high: 68937/100000\n", + " Component | low: 181/100000\n", + " Component | high: 66899/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=35.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0010211 [ 0.38 %]\n", - "Velocity : 0.00299478 [ 1.12 %]\n", - "Force : 0.107241 [ 39.94 %]\n", - "Coefs : 0.0594135 [ 22.13 %]\n", - "Output : 0.000953775 [ 0.36 %]\n", - "Levels : 0.000232466 [ 0.09 %]\n", - "Report : 1.112e-06 [ 0.00 %]\n", - "Balance : 3.7e-07 [ 0.00 %]\n", - "Adjust : 0.0965922 [ 35.97 %]\n", - "Total : 0.268511 [100.00 %]\n", + "Drift : 0.000561483 [ 0.45 %]\n", + "Velocity : 0.00140183 [ 1.12 %]\n", + "Force : 0.043455 [ 34.84 %]\n", + "Coefs : 0.0183827 [ 14.74 %]\n", + "Output : 0.000924254 [ 0.74 %]\n", + "Levels : 0.000229292 [ 0.18 %]\n", + "Report : 2.036e-06 [ 0.00 %]\n", + "Balance : 9.04e-07 [ 0.00 %]\n", + "Adjust : 0.0597284 [ 47.89 %]\n", + "Total : 0.124731 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6345 545 202 31 19 \n", - "1 : 6321 594 171 31 25 \n", - "2 : 6306 595 187 28 26 \n", - "3 : 6289 611 195 30 17 \n", - "4 : 6288 594 198 34 28 \n", - "5 : 6342 556 191 38 15 \n", - "6 : 6298 577 217 30 20 \n", - "7 : 6270 587 216 39 30 \n", - "8 : 6329 575 184 31 23 \n", - "9 : 6284 611 190 32 25 \n", - "10 : 6293 609 184 31 25 \n", - "11 : 6272 623 192 30 25 \n", - "12 : 6288 613 194 26 21 \n", - "13 : 6320 570 209 38 17 \n", + "0 : 6224 662 190 40 26 \n", + "1 : 6291 609 183 42 17 \n", + "2 : 6235 654 187 44 22 \n", + "3 : 6355 565 165 33 24 \n", + "4 : 6223 666 192 32 29 \n", + "5 : 6320 584 191 29 18 \n", + "6 : 6279 599 197 44 23 \n", + "7 : 6269 637 176 39 21 \n", + "8 : 6302 589 188 34 29 \n", + "9 : 6319 610 164 29 20 \n", + "10 : 6264 639 178 38 23 \n", + "11 : 6239 639 201 39 24 \n", + "12 : 6259 636 186 34 27 \n", + "13 : 6322 582 192 38 20 \n", "\n", - "T : 88245 8260 2730 449 316 [100000]\n", + "T : 87901 8671 2590 515 323 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.1%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 2.2315e-02 sec\n", - "--- Collate = 1.0406e-04 sec\n", + "--- Coef/DT = 2.8%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 1.0092e-02 sec\n", + "--- Collate = 8.1301e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.688043e-05 < 6.250000e-03 [177]\n", - "--- Max DT=3.724331e-01 > 1.000000e-01 [68968]\n", + "--- Min DT=2.245226e-05 < 6.250000e-03 [188]\n", + "--- Max DT=3.685261e-01 > 1.000000e-01 [66874]\n", "----------------------------------------------------------------------\n", - " Component | low: 177/100000\n", - " Component | high: 68968/100000\n", + " Component | low: 188/100000\n", + " Component | high: 66874/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=35.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.001131 [ 0.50 %]\n", - "Velocity : 0.00312916 [ 1.37 %]\n", - "Force : 0.091448 [ 40.04 %]\n", - "Coefs : 0.0273092 [ 11.96 %]\n", - "Output : 0.00119416 [ 0.52 %]\n", - "Levels : 0.000248752 [ 0.11 %]\n", - "Report : 1.202e-06 [ 0.00 %]\n", - "Balance : 4.44e-07 [ 0.00 %]\n", - "Adjust : 0.103853 [ 45.48 %]\n", - "Total : 0.228374 [100.00 %]\n", + "Drift : 0.000600849 [ 0.48 %]\n", + "Velocity : 0.00158904 [ 1.28 %]\n", + "Force : 0.0442463 [ 35.60 %]\n", + "Coefs : 0.0186808 [ 15.03 %]\n", + "Output : 0.000948913 [ 0.76 %]\n", + "Levels : 0.000221121 [ 0.18 %]\n", + "Report : 1.328e-06 [ 0.00 %]\n", + "Balance : 6.52e-07 [ 0.00 %]\n", + "Adjust : 0.0579594 [ 46.63 %]\n", + "Total : 0.124292 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6340 545 203 37 17 \n", - "1 : 6316 594 178 28 26 \n", - "2 : 6291 601 194 29 27 \n", - "3 : 6281 620 193 32 16 \n", - "4 : 6283 596 202 31 30 \n", - "5 : 6337 561 186 35 23 \n", - "6 : 6294 578 220 28 22 \n", - "7 : 6269 587 216 41 29 \n", - "8 : 6318 589 175 38 22 \n", - "9 : 6280 618 182 38 24 \n", - "10 : 6285 612 182 39 24 \n", - "11 : 6267 624 194 34 23 \n", - "12 : 6286 610 198 26 22 \n", - "13 : 6314 563 217 39 21 \n", + "0 : 6212 671 190 41 28 \n", + "1 : 6286 612 187 37 20 \n", + "2 : 6238 646 192 45 21 \n", + "3 : 6337 576 169 37 23 \n", + "4 : 6219 663 197 35 28 \n", + "5 : 6313 583 196 32 18 \n", + "6 : 6272 599 203 45 23 \n", + "7 : 6270 638 178 36 20 \n", + "8 : 6295 595 182 38 32 \n", + "9 : 6314 610 169 31 18 \n", + "10 : 6267 634 176 41 24 \n", + "11 : 6237 635 207 38 25 \n", + "12 : 6262 636 184 32 28 \n", + "13 : 6317 583 195 39 20 \n", "\n", - "T : 88161 8298 2740 475 326 [100000]\n", + "T : 87839 8681 2625 527 328 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.0%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.2885e-02 sec\n", - "--- Collate = 9.9861e-05 sec\n", + "--- Coef/DT = 2.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 1.0170e-02 sec\n", + "--- Collate = 8.2554e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.958238e-06 < 6.250000e-03 [182]\n", - "--- Max DT=3.732862e-01 > 1.000000e-01 [69005]\n", + "--- Min DT=2.780184e-05 < 6.250000e-03 [195]\n", + "--- Max DT=3.695655e-01 > 1.000000e-01 [66855]\n", "----------------------------------------------------------------------\n", - " Component | low: 182/100000\n", - " Component | high: 69005/100000\n", + " Component | low: 195/100000\n", + " Component | high: 66855/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=35.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00112518 [ 0.63 %]\n", - "Velocity : 0.00306991 [ 1.72 %]\n", - "Force : 0.0547786 [ 30.71 %]\n", - "Coefs : 0.0303708 [ 17.03 %]\n", - "Output : 0.000906646 [ 0.51 %]\n", - "Levels : 0.00022767 [ 0.13 %]\n", - "Report : 9.54e-07 [ 0.00 %]\n", - "Balance : 4.63e-07 [ 0.00 %]\n", - "Adjust : 0.0878277 [ 49.24 %]\n", - "Total : 0.178369 [100.00 %]\n", + "Drift : 0.000564211 [ 0.45 %]\n", + "Velocity : 0.00146778 [ 1.18 %]\n", + "Force : 0.044482 [ 35.87 %]\n", + "Coefs : 0.01841 [ 14.84 %]\n", + "Output : 0.000781945 [ 0.63 %]\n", + "Levels : 0.000216269 [ 0.17 %]\n", + "Report : 1.267e-06 [ 0.00 %]\n", + "Balance : 6.5e-07 [ 0.00 %]\n", + "Adjust : 0.0580603 [ 46.81 %]\n", + "Total : 0.124026 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6340 540 210 31 21 \n", - "1 : 6312 591 180 32 27 \n", - "2 : 6290 601 194 32 25 \n", - "3 : 6278 618 202 28 16 \n", - "4 : 6277 602 196 36 31 \n", - "5 : 6335 551 196 36 24 \n", - "6 : 6294 576 217 29 26 \n", - "7 : 6270 585 217 43 27 \n", - "8 : 6317 588 176 38 23 \n", - "9 : 6291 607 176 44 24 \n", - "10 : 6283 609 185 39 26 \n", - "11 : 6264 627 192 33 26 \n", - "12 : 6289 608 198 28 19 \n", - "13 : 6312 565 214 46 17 \n", + "0 : 6219 656 193 45 29 \n", + "1 : 6282 609 191 40 20 \n", + "2 : 6230 650 197 41 24 \n", + "3 : 6336 563 183 34 26 \n", + "4 : 6219 658 204 30 31 \n", + "5 : 6300 595 194 29 24 \n", + "6 : 6271 600 205 40 26 \n", + "7 : 6267 642 175 35 23 \n", + "8 : 6286 603 178 44 31 \n", + "9 : 6306 616 169 36 15 \n", + "10 : 6263 636 171 47 25 \n", + "11 : 6223 652 200 42 25 \n", + "12 : 6261 634 186 33 28 \n", + "13 : 6317 576 200 39 22 \n", "\n", - "T : 88152 8268 2753 495 332 [100000]\n", + "T : 87780 8690 2646 535 349 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.2%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.2697e-02 sec\n", - "--- Collate = 7.1937e-05 sec\n", + "--- Coef/DT = 2.8%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 9.8811e-03 sec\n", + "--- Collate = 8.3036e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.407931e-05 < 6.250000e-03 [179]\n", - "--- Max DT=3.739800e-01 > 1.000000e-01 [69028]\n", + "--- Min DT=1.284885e-05 < 6.250000e-03 [195]\n", + "--- Max DT=3.703988e-01 > 1.000000e-01 [66828]\n", "----------------------------------------------------------------------\n", - " Component | low: 179/100000\n", - " Component | high: 69028/100000\n", + " Component | low: 195/100000\n", + " Component | high: 66828/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=35.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00100468 [ 0.60 %]\n", - "Velocity : 0.00243364 [ 1.46 %]\n", - "Force : 0.0611235 [ 36.76 %]\n", - "Coefs : 0.0259513 [ 15.61 %]\n", - "Output : 0.000926755 [ 0.56 %]\n", - "Levels : 0.000208741 [ 0.13 %]\n", - "Report : 1.224e-06 [ 0.00 %]\n", - "Balance : 2.18e-07 [ 0.00 %]\n", - "Adjust : 0.0745634 [ 44.84 %]\n", - "Total : 0.16627 [100.00 %]\n", + "Drift : 0.000575837 [ 0.46 %]\n", + "Velocity : 0.00182155 [ 1.45 %]\n", + "Force : 0.0447227 [ 35.61 %]\n", + "Coefs : 0.0183345 [ 14.60 %]\n", + "Output : 0.0011624 [ 0.93 %]\n", + "Levels : 0.000196618 [ 0.16 %]\n", + "Report : 1.189e-06 [ 0.00 %]\n", + "Balance : 4.91e-07 [ 0.00 %]\n", + "Adjust : 0.0587155 [ 46.76 %]\n", + "Total : 0.125575 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6340 540 207 36 19 \n", - "1 : 6308 587 192 25 30 \n", - "2 : 6295 589 200 38 20 \n", - "3 : 6280 604 211 28 19 \n", - "4 : 6273 601 199 42 27 \n", - "5 : 6334 551 195 36 26 \n", - "6 : 6286 583 215 33 25 \n", - "7 : 6268 587 214 48 25 \n", - "8 : 6312 595 174 37 24 \n", - "9 : 6291 598 188 42 23 \n", - "10 : 6276 611 190 40 25 \n", - "11 : 6266 621 197 33 25 \n", - "12 : 6291 608 195 30 18 \n", - "13 : 6307 566 211 50 20 \n", + "0 : 6217 649 204 45 27 \n", + "1 : 6277 615 187 45 18 \n", + "2 : 6225 652 199 38 28 \n", + "3 : 6332 565 185 34 26 \n", + "4 : 6218 651 211 31 31 \n", + "5 : 6289 602 200 27 24 \n", + "6 : 6267 610 197 35 33 \n", + "7 : 6262 636 183 36 25 \n", + "8 : 6283 603 180 42 34 \n", + "9 : 6296 622 174 32 18 \n", + "10 : 6263 628 180 45 26 \n", + "11 : 6228 641 206 41 26 \n", + "12 : 6257 633 192 38 22 \n", + "13 : 6319 574 200 38 23 \n", "\n", - "T : 88127 8241 2788 518 326 [100000]\n", + "T : 87733 8681 2698 527 361 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.4%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.0882e-02 sec\n", - "--- Collate = 6.9445e-05 sec\n", + "--- Coef/DT = 3.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 1.0183e-02 sec\n", + "--- Collate = 7.9422e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.330562e-06 < 6.250000e-03 [195]\n", - "--- Max DT=3.744658e-01 > 1.000000e-01 [69034]\n", + "--- Min DT=4.803797e-05 < 6.250000e-03 [207]\n", + "--- Max DT=3.711343e-01 > 1.000000e-01 [66812]\n", "----------------------------------------------------------------------\n", - " Component | low: 195/100000\n", - " Component | high: 69034/100000\n", + " Component | low: 207/100000\n", + " Component | high: 66812/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=36] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000811071 [ 0.41 %]\n", - "Velocity : 0.00229805 [ 1.16 %]\n", - "Force : 0.0779949 [ 39.44 %]\n", - "Coefs : 0.0218292 [ 11.04 %]\n", - "Output : 0.00638673 [ 3.23 %]\n", - "Levels : 0.000358925 [ 0.18 %]\n", - "Report : 1.159e-06 [ 0.00 %]\n", - "Balance : 1.004e-06 [ 0.00 %]\n", - "Adjust : 0.0880067 [ 44.51 %]\n", - "Total : 0.197741 [100.00 %]\n", + "Drift : 0.000533776 [ 0.41 %]\n", + "Velocity : 0.00132235 [ 1.01 %]\n", + "Force : 0.045136 [ 34.44 %]\n", + "Coefs : 0.0188286 [ 14.37 %]\n", + "Output : 0.00563457 [ 4.30 %]\n", + "Levels : 0.000261751 [ 0.20 %]\n", + "Report : 1.057e-06 [ 0.00 %]\n", + "Balance : 8.77e-07 [ 0.00 %]\n", + "Adjust : 0.0592843 [ 45.24 %]\n", + "Total : 0.131045 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6328 551 209 35 19 \n", - "1 : 6308 588 191 23 32 \n", - "2 : 6294 588 202 37 21 \n", - "3 : 6280 596 219 29 18 \n", - "4 : 6278 593 203 38 30 \n", - "5 : 6327 552 199 39 25 \n", - "6 : 6291 582 208 37 24 \n", - "7 : 6273 579 218 47 25 \n", - "8 : 6311 585 185 39 22 \n", - "9 : 6289 588 200 37 28 \n", - "10 : 6267 612 193 41 29 \n", - "11 : 6255 630 198 33 26 \n", - "12 : 6292 606 196 31 17 \n", - "13 : 6310 561 213 52 18 \n", + "0 : 6210 656 204 44 28 \n", + "1 : 6267 612 202 41 20 \n", + "2 : 6230 641 203 42 26 \n", + "3 : 6324 576 178 33 31 \n", + "4 : 6216 655 211 33 27 \n", + "5 : 6278 609 201 28 26 \n", + "6 : 6265 609 198 35 35 \n", + "7 : 6261 632 186 36 27 \n", + "8 : 6280 603 184 45 30 \n", + "9 : 6304 614 177 28 19 \n", + "10 : 6259 623 190 38 32 \n", + "11 : 6231 640 201 46 24 \n", + "12 : 6247 635 194 45 21 \n", + "13 : 6321 572 199 36 26 \n", "\n", - "T : 88103 8211 2834 518 334 [100000]\n", + "T : 87693 8677 2728 530 372 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.3176e-02 sec\n", - "--- Collate = 1.4143e-04 sec\n", + "--- Coef/DT = 2.8%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 1.0283e-02 sec\n", + "--- Collate = 7.5111e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.399234e-06 < 6.250000e-03 [194]\n", - "--- Max DT=3.749691e-01 > 1.000000e-01 [69042]\n", + "--- Min DT=2.065746e-05 < 6.250000e-03 [226]\n", + "--- Max DT=3.718908e-01 > 1.000000e-01 [66803]\n", "----------------------------------------------------------------------\n", - " Component | low: 194/100000\n", - " Component | high: 69042/100000\n", + " Component | low: 226/100000\n", + " Component | high: 66803/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=36.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000688604 [ 0.45 %]\n", - "Velocity : 0.00201722 [ 1.33 %]\n", - "Force : 0.0547014 [ 35.96 %]\n", - "Coefs : 0.0216621 [ 14.24 %]\n", - "Output : 0.00140843 [ 0.93 %]\n", - "Levels : 0.000289446 [ 0.19 %]\n", - "Report : 1.159e-06 [ 0.00 %]\n", - "Balance : 6.48e-07 [ 0.00 %]\n", - "Adjust : 0.0712987 [ 46.87 %]\n", - "Total : 0.152123 [100.00 %]\n", + "Drift : 0.000653681 [ 0.52 %]\n", + "Velocity : 0.00156127 [ 1.23 %]\n", + "Force : 0.0445265 [ 35.13 %]\n", + "Coefs : 0.0184938 [ 14.59 %]\n", + "Output : 0.000793253 [ 0.63 %]\n", + "Levels : 0.000204914 [ 0.16 %]\n", + "Report : 9.95e-07 [ 0.00 %]\n", + "Balance : 3.88e-07 [ 0.00 %]\n", + "Adjust : 0.0604706 [ 47.71 %]\n", + "Total : 0.126747 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6322 557 206 35 22 \n", - "1 : 6300 595 191 26 30 \n", - "2 : 6288 593 201 40 20 \n", - "3 : 6273 601 220 26 22 \n", - "4 : 6276 592 201 40 33 \n", - "5 : 6328 551 196 36 31 \n", - "6 : 6288 592 203 30 29 \n", - "7 : 6266 581 223 42 30 \n", - "8 : 6310 579 189 41 23 \n", - "9 : 6278 591 206 39 28 \n", - "10 : 6265 614 192 42 29 \n", - "11 : 6252 636 196 35 23 \n", - "12 : 6287 610 197 32 16 \n", - "13 : 6308 564 209 51 22 \n", + "0 : 6210 645 214 45 28 \n", + "1 : 6264 612 208 37 21 \n", + "2 : 6225 649 196 50 22 \n", + "3 : 6321 575 176 39 31 \n", + "4 : 6214 658 205 40 25 \n", + "5 : 6276 611 197 34 24 \n", + "6 : 6256 616 193 37 40 \n", + "7 : 6262 628 182 38 32 \n", + "8 : 6275 608 185 43 31 \n", + "9 : 6300 617 176 30 19 \n", + "10 : 6249 630 188 48 27 \n", + "11 : 6229 639 202 52 20 \n", + "12 : 6241 635 202 39 25 \n", + "13 : 6306 588 196 32 32 \n", "\n", - "T : 88041 8256 2830 515 358 [100000]\n", + "T : 87628 8711 2720 564 377 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.8%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.3042e-02 sec\n", - "--- Collate = 1.2894e-04 sec\n", + "--- Coef/DT = 2.7%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 1.0476e-02 sec\n", + "--- Collate = 7.1648e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.704199e-05 < 6.250000e-03 [204]\n", - "--- Max DT=3.752461e-01 > 1.000000e-01 [69076]\n", + "--- Min DT=1.057163e-05 < 6.250000e-03 [232]\n", + "--- Max DT=3.725314e-01 > 1.000000e-01 [66782]\n", "----------------------------------------------------------------------\n", - " Component | low: 204/100000\n", - " Component | high: 69076/100000\n", + " Component | low: 232/100000\n", + " Component | high: 66782/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=36.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000617116 [ 0.38 %]\n", - "Velocity : 0.00207619 [ 1.29 %]\n", - "Force : 0.0589077 [ 36.71 %]\n", - "Coefs : 0.0234241 [ 14.60 %]\n", - "Output : 0.00152308 [ 0.95 %]\n", - "Levels : 0.000359939 [ 0.22 %]\n", - "Report : 2.072e-06 [ 0.00 %]\n", - "Balance : 1.085e-06 [ 0.00 %]\n", - "Adjust : 0.0734923 [ 45.80 %]\n", - "Total : 0.16046 [100.00 %]\n", + "Drift : 0.000538424 [ 0.42 %]\n", + "Velocity : 0.00134242 [ 1.04 %]\n", + "Force : 0.0451333 [ 35.12 %]\n", + "Coefs : 0.0190799 [ 14.85 %]\n", + "Output : 0.000867702 [ 0.68 %]\n", + "Levels : 0.000218424 [ 0.17 %]\n", + "Report : 9.12e-07 [ 0.00 %]\n", + "Balance : 4.43e-07 [ 0.00 %]\n", + "Adjust : 0.061278 [ 47.69 %]\n", + "Total : 0.128501 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6324 555 203 37 23 \n", - "1 : 6298 596 192 29 27 \n", - "2 : 6286 591 203 41 21 \n", - "3 : 6277 589 225 32 19 \n", - "4 : 6281 580 204 45 32 \n", - "5 : 6331 547 198 36 30 \n", - "6 : 6286 590 204 31 31 \n", - "7 : 6266 579 227 37 33 \n", - "8 : 6310 577 189 43 23 \n", - "9 : 6282 585 209 39 27 \n", - "10 : 6268 606 198 40 30 \n", - "11 : 6244 645 199 30 24 \n", - "12 : 6280 619 195 31 17 \n", - "13 : 6309 557 218 46 24 \n", + "0 : 6213 640 210 46 33 \n", + "1 : 6256 616 210 41 19 \n", + "2 : 6222 651 196 48 25 \n", + "3 : 6318 581 173 38 32 \n", + "4 : 6211 665 199 35 32 \n", + "5 : 6268 622 189 34 29 \n", + "6 : 6255 623 185 39 40 \n", + "7 : 6256 624 189 40 33 \n", + "8 : 6271 603 197 36 35 \n", + "9 : 6305 610 170 42 15 \n", + "10 : 6254 622 188 51 27 \n", + "11 : 6224 643 208 43 24 \n", + "12 : 6236 628 211 41 26 \n", + "13 : 6310 578 194 37 35 \n", "\n", - "T : 88042 8216 2864 517 361 [100000]\n", + "T : 87599 8706 2719 571 405 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.4%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.1724e-02 sec\n", - "--- Collate = 7.7484e-05 sec\n", + "--- Coef/DT = 3.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 1.0319e-02 sec\n", + "--- Collate = 7.9922e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.742192e-06 < 6.250000e-03 [210]\n", - "--- Max DT=3.754129e-01 > 1.000000e-01 [69084]\n", + "--- Min DT=2.613864e-05 < 6.250000e-03 [243]\n", + "--- Max DT=3.730738e-01 > 1.000000e-01 [66794]\n", "----------------------------------------------------------------------\n", - " Component | low: 210/100000\n", - " Component | high: 69084/100000\n", + " Component | low: 243/100000\n", + " Component | high: 66794/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=36.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000677941 [ 0.44 %]\n", - "Velocity : 0.00241611 [ 1.57 %]\n", - "Force : 0.0564133 [ 36.54 %]\n", - "Coefs : 0.0233276 [ 15.11 %]\n", - "Output : 0.00145327 [ 0.94 %]\n", - "Levels : 0.000228898 [ 0.15 %]\n", - "Report : 1.176e-06 [ 0.00 %]\n", - "Balance : 1.026e-06 [ 0.00 %]\n", - "Adjust : 0.0697954 [ 45.21 %]\n", - "Total : 0.154372 [100.00 %]\n", + "Drift : 0.000506385 [ 0.39 %]\n", + "Velocity : 0.00151502 [ 1.17 %]\n", + "Force : 0.0460445 [ 35.51 %]\n", + "Coefs : 0.0190575 [ 14.70 %]\n", + "Output : 0.000939237 [ 0.72 %]\n", + "Levels : 0.000234809 [ 0.18 %]\n", + "Report : 1.128e-06 [ 0.00 %]\n", + "Balance : 5.08e-07 [ 0.00 %]\n", + "Adjust : 0.0612992 [ 47.28 %]\n", + "Total : 0.129649 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6324 559 197 39 23 \n", - "1 : 6295 595 195 30 27 \n", - "2 : 6282 597 202 41 20 \n", - "3 : 6275 587 231 31 18 \n", - "4 : 6288 566 215 43 30 \n", - "5 : 6327 551 196 37 31 \n", - "6 : 6290 589 201 30 32 \n", - "7 : 6269 578 229 35 31 \n", - "8 : 6315 566 195 40 26 \n", - "9 : 6279 588 202 43 30 \n", - "10 : 6270 606 200 36 30 \n", - "11 : 6246 640 194 39 23 \n", - "12 : 6270 626 199 32 15 \n", - "13 : 6308 557 220 45 24 \n", + "0 : 6204 648 208 50 32 \n", + "1 : 6257 608 216 39 22 \n", + "2 : 6211 659 200 46 26 \n", + "3 : 6320 583 174 34 31 \n", + "4 : 6210 656 207 37 32 \n", + "5 : 6266 621 191 33 31 \n", + "6 : 6250 624 186 42 40 \n", + "7 : 6248 626 195 41 32 \n", + "8 : 6272 597 203 38 32 \n", + "9 : 6293 629 164 38 18 \n", + "10 : 6252 618 200 46 26 \n", + "11 : 6213 651 211 39 28 \n", + "12 : 6234 632 203 46 27 \n", + "13 : 6305 589 187 38 35 \n", "\n", - "T : 88038 8205 2876 521 360 [100000]\n", + "T : 87535 8741 2745 567 412 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.0%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 2.1249e-02 sec\n", - "--- Collate = 9.5108e-05 sec\n", + "--- Coef/DT = 3.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 1.0253e-02 sec\n", + "--- Collate = 6.9041e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.106957e-06 < 6.250000e-03 [210]\n", - "--- Max DT=3.756208e-01 > 1.000000e-01 [69111]\n", + "--- Min DT=4.389940e-07 < 6.250000e-03 [255]\n", + "--- Max DT=3.734789e-01 > 1.000000e-01 [66777]\n", "----------------------------------------------------------------------\n", - " Component | low: 210/100000\n", - " Component | high: 69111/100000\n", + " Component | low: 255/100000\n", + " Component | high: 66777/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=36.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00105815 [ 0.39 %]\n", - "Velocity : 0.00231746 [ 0.85 %]\n", - "Force : 0.117538 [ 42.95 %]\n", - "Coefs : 0.0366147 [ 13.38 %]\n", - "Output : 0.00119862 [ 0.44 %]\n", - "Levels : 0.000368993 [ 0.13 %]\n", - "Report : 1.313e-06 [ 0.00 %]\n", - "Balance : 8.22e-07 [ 0.00 %]\n", - "Adjust : 0.114465 [ 41.83 %]\n", - "Total : 0.273631 [100.00 %]\n", + "Drift : 0.000587301 [ 0.46 %]\n", + "Velocity : 0.00137908 [ 1.08 %]\n", + "Force : 0.0461816 [ 36.08 %]\n", + "Coefs : 0.0190664 [ 14.89 %]\n", + "Output : 0.000830981 [ 0.65 %]\n", + "Levels : 0.000225858 [ 0.18 %]\n", + "Report : 9.55e-07 [ 0.00 %]\n", + "Balance : 5.86e-07 [ 0.00 %]\n", + "Adjust : 0.0596985 [ 46.64 %]\n", + "Total : 0.12801 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6322 558 199 37 26 \n", - "1 : 6298 592 191 32 29 \n", - "2 : 6271 602 200 47 22 \n", - "3 : 6269 593 228 32 20 \n", - "4 : 6290 561 217 41 33 \n", - "5 : 6327 549 198 39 29 \n", - "6 : 6281 588 212 36 25 \n", - "7 : 6258 587 227 36 34 \n", - "8 : 6310 566 201 40 25 \n", - "9 : 6283 585 200 44 30 \n", - "10 : 6274 606 192 38 32 \n", - "11 : 6246 640 190 43 23 \n", - "12 : 6274 620 202 33 13 \n", - "13 : 6300 562 222 44 26 \n", + "0 : 6204 638 216 56 28 \n", + "1 : 6252 614 213 40 23 \n", + "2 : 6208 657 204 47 26 \n", + "3 : 6310 590 172 44 26 \n", + "4 : 6207 648 212 45 30 \n", + "5 : 6264 623 188 34 33 \n", + "6 : 6242 629 189 40 42 \n", + "7 : 6240 629 196 45 32 \n", + "8 : 6265 600 207 36 34 \n", + "9 : 6289 623 176 35 19 \n", + "10 : 6250 622 192 52 26 \n", + "11 : 6215 644 210 39 34 \n", + "12 : 6230 630 207 46 29 \n", + "13 : 6305 585 188 36 40 \n", "\n", - "T : 88003 8209 2879 542 367 [100000]\n", + "T : 87481 8732 2770 595 422 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 2.9%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.4136e-02 sec\n", - "--- Collate = 1.0870e-04 sec\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 1.0059e-02 sec\n", + "--- Collate = 6.8282e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.767642e-06 < 6.250000e-03 [212]\n", - "--- Max DT=3.758516e-01 > 1.000000e-01 [69135]\n", + "--- Min DT=2.033542e-05 < 6.250000e-03 [250]\n", + "--- Max DT=3.738369e-01 > 1.000000e-01 [66749]\n", "----------------------------------------------------------------------\n", - " Component | low: 212/100000\n", - " Component | high: 69135/100000\n", + " Component | low: 250/100000\n", + " Component | high: 66749/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=36.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00121535 [ 0.58 %]\n", - "Velocity : 0.00233762 [ 1.11 %]\n", - "Force : 0.0782322 [ 37.15 %]\n", - "Coefs : 0.0443879 [ 21.08 %]\n", - "Output : 0.00149352 [ 0.71 %]\n", - "Levels : 0.000322677 [ 0.15 %]\n", - "Report : 1.478e-06 [ 0.00 %]\n", - "Balance : 5.64e-07 [ 0.00 %]\n", - "Adjust : 0.0825307 [ 39.19 %]\n", - "Total : 0.210586 [100.00 %]\n", + "Drift : 0.000527592 [ 0.17 %]\n", + "Velocity : 0.00141822 [ 0.46 %]\n", + "Force : 0.0816198 [ 26.73 %]\n", + "Coefs : 0.161423 [ 52.86 %]\n", + "Output : 0.00076972 [ 0.25 %]\n", + "Levels : 0.000187104 [ 0.06 %]\n", + "Report : 1.001e-06 [ 0.00 %]\n", + "Balance : 4.54e-07 [ 0.00 %]\n", + "Adjust : 0.0594129 [ 19.45 %]\n", + "Total : 0.3054 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6313 567 198 36 28 \n", - "1 : 6297 590 192 33 30 \n", - "2 : 6271 602 200 43 26 \n", - "3 : 6260 599 226 35 22 \n", - "4 : 6281 564 216 45 36 \n", - "5 : 6327 543 202 39 31 \n", - "6 : 6284 586 215 36 21 \n", - "7 : 6255 592 226 38 31 \n", - "8 : 6307 572 200 37 26 \n", - "9 : 6278 585 206 44 29 \n", - "10 : 6270 611 192 34 35 \n", - "11 : 6245 638 188 47 24 \n", - "12 : 6270 621 204 35 12 \n", - "13 : 6299 561 226 41 27 \n", + "0 : 6199 633 230 53 27 \n", + "1 : 6243 621 209 47 22 \n", + "2 : 6205 657 202 47 31 \n", + "3 : 6297 604 172 39 30 \n", + "4 : 6203 645 222 39 33 \n", + "5 : 6256 625 191 36 34 \n", + "6 : 6231 636 192 39 44 \n", + "7 : 6235 635 194 46 32 \n", + "8 : 6261 602 208 30 41 \n", + "9 : 6289 621 171 40 21 \n", + "10 : 6246 623 195 49 29 \n", + "11 : 6210 650 205 44 33 \n", + "12 : 6221 637 205 48 31 \n", + "13 : 6301 589 187 38 39 \n", "\n", - "T : 87957 8231 2891 543 378 [100000]\n", + "T : 87397 8778 2783 595 447 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.5%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.3264e-02 sec\n", - "--- Collate = 8.6310e-05 sec\n", + "--- Coef/DT = 3.5%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 1.0062e-02 sec\n", + "--- Collate = 7.9898e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.903239e-06 < 6.250000e-03 [228]\n", - "--- Max DT=3.761105e-01 > 1.000000e-01 [69152]\n", + "--- Min DT=1.856841e-05 < 6.250000e-03 [251]\n", + "--- Max DT=3.741115e-01 > 1.000000e-01 [66743]\n", "----------------------------------------------------------------------\n", - " Component | low: 228/100000\n", - " Component | high: 69152/100000\n", + " Component | low: 251/100000\n", + " Component | high: 66743/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=36.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000629168 [ 0.30 %]\n", - "Velocity : 0.0023582 [ 1.11 %]\n", - "Force : 0.0692465 [ 32.60 %]\n", - "Coefs : 0.0557146 [ 26.23 %]\n", - "Output : 0.00160666 [ 0.76 %]\n", - "Levels : 0.000308857 [ 0.15 %]\n", - "Report : 1.734e-06 [ 0.00 %]\n", - "Balance : 6.48e-07 [ 0.00 %]\n", - "Adjust : 0.0824973 [ 38.84 %]\n", - "Total : 0.21242 [100.00 %]\n", + "Drift : 0.000508098 [ 0.41 %]\n", + "Velocity : 0.00131601 [ 1.06 %]\n", + "Force : 0.043585 [ 35.04 %]\n", + "Coefs : 0.0191828 [ 15.42 %]\n", + "Output : 0.000707483 [ 0.57 %]\n", + "Levels : 0.000192102 [ 0.15 %]\n", + "Report : 5.65e-07 [ 0.00 %]\n", + "Balance : 3e-07 [ 0.00 %]\n", + "Adjust : 0.058859 [ 47.32 %]\n", + "Total : 0.124388 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6308 568 199 37 30 \n", - "1 : 6298 587 196 30 31 \n", - "2 : 6270 603 196 43 30 \n", - "3 : 6256 603 224 31 28 \n", - "4 : 6277 570 214 45 36 \n", - "5 : 6324 545 202 40 31 \n", - "6 : 6278 587 211 42 24 \n", - "7 : 6259 592 223 35 33 \n", - "8 : 6302 571 206 32 31 \n", - "9 : 6277 586 207 42 30 \n", - "10 : 6272 602 194 39 35 \n", - "11 : 6244 641 189 41 27 \n", - "12 : 6271 618 205 33 15 \n", - "13 : 6295 565 229 33 32 \n", + "0 : 6191 641 226 53 31 \n", + "1 : 6237 625 210 48 22 \n", + "2 : 6208 649 199 52 34 \n", + "3 : 6286 612 171 48 25 \n", + "4 : 6195 655 218 39 35 \n", + "5 : 6257 627 186 32 40 \n", + "6 : 6224 636 197 40 45 \n", + "7 : 6236 629 199 44 34 \n", + "8 : 6267 596 205 37 37 \n", + "9 : 6274 631 174 34 29 \n", + "10 : 6245 619 199 51 28 \n", + "11 : 6201 660 206 41 34 \n", + "12 : 6217 642 207 49 27 \n", + "13 : 6296 589 192 37 40 \n", "\n", - "T : 87931 8238 2895 523 413 [100000]\n", + "T : 87334 8811 2789 605 461 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.0%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.1599e-02 sec\n", - "--- Collate = 1.3432e-04 sec\n", + "--- Coef/DT = 3.0%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 1.0073e-02 sec\n", + "--- Collate = 8.3449e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.657938e-06 < 6.250000e-03 [247]\n", - "--- Max DT=3.762966e-01 > 1.000000e-01 [69152]\n", + "--- Min DT=2.297719e-05 < 6.250000e-03 [262]\n", + "--- Max DT=3.743064e-01 > 1.000000e-01 [66697]\n", "----------------------------------------------------------------------\n", - " Component | low: 247/100000\n", - " Component | high: 69152/100000\n", + " Component | low: 262/100000\n", + " Component | high: 66697/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=36.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000762252 [ 0.43 %]\n", - "Velocity : 0.00193998 [ 1.09 %]\n", - "Force : 0.063875 [ 35.94 %]\n", - "Coefs : 0.0375339 [ 21.12 %]\n", - "Output : 0.00140764 [ 0.79 %]\n", - "Levels : 0.000271874 [ 0.15 %]\n", - "Report : 1.706e-06 [ 0.00 %]\n", - "Balance : 7.57e-07 [ 0.00 %]\n", - "Adjust : 0.0718911 [ 40.45 %]\n", - "Total : 0.17774 [100.00 %]\n", + "Drift : 0.000519052 [ 0.41 %]\n", + "Velocity : 0.00145784 [ 1.14 %]\n", + "Force : 0.0463863 [ 36.29 %]\n", + "Coefs : 0.0190052 [ 14.87 %]\n", + "Output : 0.000744805 [ 0.58 %]\n", + "Levels : 0.000181545 [ 0.14 %]\n", + "Report : 1.001e-06 [ 0.00 %]\n", + "Balance : 3.24e-07 [ 0.00 %]\n", + "Adjust : 0.0594748 [ 46.53 %]\n", + "Total : 0.127815 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6308 564 203 36 31 \n", - "1 : 6297 590 194 32 29 \n", - "2 : 6271 600 198 43 30 \n", - "3 : 6257 603 221 33 28 \n", - "4 : 6278 569 211 46 38 \n", - "5 : 6317 552 205 39 29 \n", - "6 : 6278 582 214 42 26 \n", - "7 : 6256 595 221 35 35 \n", - "8 : 6314 549 216 33 30 \n", - "9 : 6270 596 204 41 31 \n", - "10 : 6263 607 193 44 35 \n", - "11 : 6251 640 184 38 29 \n", - "12 : 6267 613 215 31 16 \n", - "13 : 6285 572 231 37 29 \n", + "0 : 6194 638 225 51 34 \n", + "1 : 6238 615 215 51 23 \n", + "2 : 6200 652 201 52 37 \n", + "3 : 6283 607 181 44 27 \n", + "4 : 6201 649 215 38 39 \n", + "5 : 6254 622 201 31 34 \n", + "6 : 6219 639 203 40 41 \n", + "7 : 6224 643 196 48 31 \n", + "8 : 6264 595 207 34 42 \n", + "9 : 6260 643 171 39 29 \n", + "10 : 6236 622 202 50 32 \n", + "11 : 6200 657 206 46 33 \n", + "12 : 6210 644 210 45 33 \n", + "13 : 6292 594 189 37 42 \n", "\n", - "T : 87912 8232 2910 530 416 [100000]\n", + "T : 87275 8820 2822 606 477 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.2%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.1196e-02 sec\n", - "--- Collate = 7.4342e-05 sec\n", + "--- Coef/DT = 3.7%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 1.0576e-02 sec\n", + "--- Collate = 7.3267e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.094394e-05 < 6.250000e-03 [242]\n", - "--- Max DT=3.762212e-01 > 1.000000e-01 [69182]\n", + "--- Min DT=6.841401e-06 < 6.250000e-03 [279]\n", + "--- Max DT=3.746378e-01 > 1.000000e-01 [66676]\n", "----------------------------------------------------------------------\n", - " Component | low: 242/100000\n", - " Component | high: 69182/100000\n", + " Component | low: 279/100000\n", + " Component | high: 66676/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=36.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000798884 [ 0.54 %]\n", - "Velocity : 0.00181089 [ 1.22 %]\n", - "Force : 0.0528853 [ 35.65 %]\n", - "Coefs : 0.0227521 [ 15.34 %]\n", - "Output : 0.00128984 [ 0.87 %]\n", - "Levels : 0.000256101 [ 0.17 %]\n", - "Report : 1.371e-06 [ 0.00 %]\n", - "Balance : 5.4e-07 [ 0.00 %]\n", - "Adjust : 0.0685083 [ 46.18 %]\n", - "Total : 0.148353 [100.00 %]\n", + "Drift : 0.000504299 [ 0.38 %]\n", + "Velocity : 0.00157883 [ 1.20 %]\n", + "Force : 0.0458368 [ 34.74 %]\n", + "Coefs : 0.019544 [ 14.81 %]\n", + "Output : 0.000895517 [ 0.68 %]\n", + "Levels : 0.000284541 [ 0.22 %]\n", + "Report : 1.451e-06 [ 0.00 %]\n", + "Balance : 5.32e-07 [ 0.00 %]\n", + "Adjust : 0.0632355 [ 47.93 %]\n", + "Total : 0.131926 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6302 568 202 39 31 \n", - "1 : 6290 598 195 30 29 \n", - "2 : 6262 613 193 47 27 \n", - "3 : 6260 597 224 32 29 \n", - "4 : 6267 572 217 48 38 \n", - "5 : 6321 551 200 40 30 \n", - "6 : 6279 578 217 43 25 \n", - "7 : 6255 586 231 35 35 \n", - "8 : 6305 562 212 35 28 \n", - "9 : 6266 602 203 40 31 \n", - "10 : 6256 616 191 42 37 \n", - "11 : 6250 638 186 37 31 \n", - "12 : 6262 618 213 30 19 \n", - "13 : 6282 571 232 39 30 \n", + "0 : 6194 635 224 56 33 \n", + "1 : 6232 618 217 46 29 \n", + "2 : 6192 657 205 51 37 \n", + "3 : 6280 604 188 44 26 \n", + "4 : 6199 645 218 39 41 \n", + "5 : 6251 628 195 29 39 \n", + "6 : 6213 641 203 40 45 \n", + "7 : 6225 637 199 46 35 \n", + "8 : 6263 591 207 40 41 \n", + "9 : 6255 638 181 39 29 \n", + "10 : 6235 629 194 54 30 \n", + "11 : 6192 656 211 49 34 \n", + "12 : 6201 653 206 49 33 \n", + "13 : 6285 596 193 38 42 \n", "\n", - "T : 87857 8270 2916 537 420 [100000]\n", + "T : 87217 8828 2841 620 494 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.3%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 2.5635e-02 sec\n", - "--- Collate = 8.2024e-05 sec\n", + "--- Coef/DT = 3.4%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 9.7962e-03 sec\n", + "--- Collate = 1.0564e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.881582e-05 < 6.250000e-03 [233]\n", - "--- Max DT=3.761718e-01 > 1.000000e-01 [69176]\n", + "--- Min DT=3.283969e-05 < 6.250000e-03 [287]\n", + "--- Max DT=3.749737e-01 > 1.000000e-01 [66642]\n", "----------------------------------------------------------------------\n", - " Component | low: 233/100000\n", - " Component | high: 69176/100000\n", + " Component | low: 287/100000\n", + " Component | high: 66642/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=36.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000587494 [ 0.33 %]\n", - "Velocity : 0.00201657 [ 1.13 %]\n", - "Force : 0.0606802 [ 33.85 %]\n", - "Coefs : 0.0266329 [ 14.86 %]\n", - "Output : 0.00129677 [ 0.72 %]\n", - "Levels : 0.000292565 [ 0.16 %]\n", - "Report : 1.643e-06 [ 0.00 %]\n", - "Balance : 5.86e-07 [ 0.00 %]\n", - "Adjust : 0.0876764 [ 48.92 %]\n", - "Total : 0.179238 [100.00 %]\n", + "Drift : 0.000611754 [ 0.46 %]\n", + "Velocity : 0.00221384 [ 1.67 %]\n", + "Force : 0.0466695 [ 35.16 %]\n", + "Coefs : 0.0197603 [ 14.89 %]\n", + "Output : 0.00113702 [ 0.86 %]\n", + "Levels : 0.000255389 [ 0.19 %]\n", + "Report : 7.32e-07 [ 0.00 %]\n", + "Balance : 5.59e-07 [ 0.00 %]\n", + "Adjust : 0.0620304 [ 46.73 %]\n", + "Total : 0.132728 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6305 568 199 39 31 \n", - "1 : 6292 594 194 36 26 \n", - "2 : 6273 600 196 46 27 \n", - "3 : 6260 595 222 27 38 \n", - "4 : 6262 580 219 43 38 \n", - "5 : 6312 558 200 37 35 \n", - "6 : 6282 572 218 40 30 \n", - "7 : 6258 580 234 34 36 \n", - "8 : 6304 554 221 34 29 \n", - "9 : 6261 607 203 44 27 \n", - "10 : 6255 612 196 40 39 \n", - "11 : 6251 630 191 40 30 \n", - "12 : 6262 615 213 33 19 \n", - "13 : 6283 575 223 46 27 \n", + "0 : 6189 639 220 64 30 \n", + "1 : 6227 624 210 49 32 \n", + "2 : 6189 659 200 55 39 \n", + "3 : 6279 600 192 42 29 \n", + "4 : 6205 634 217 42 44 \n", + "5 : 6238 637 192 39 36 \n", + "6 : 6203 650 201 41 47 \n", + "7 : 6220 634 206 48 34 \n", + "8 : 6264 592 203 41 42 \n", + "9 : 6252 641 180 43 26 \n", + "10 : 6232 626 197 58 29 \n", + "11 : 6191 655 210 45 41 \n", + "12 : 6189 661 209 52 31 \n", + "13 : 6285 594 192 42 41 \n", "\n", - "T : 87860 8240 2929 539 432 [100000]\n", + "T : 87163 8846 2829 661 501 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.3%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.3291e-02 sec\n", - "--- Collate = 8.4416e-05 sec\n", + "--- Coef/DT = 3.2%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 1.0132e-02 sec\n", + "--- Collate = 7.5407e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.292599e-06 < 6.250000e-03 [246]\n", - "--- Max DT=3.759684e-01 > 1.000000e-01 [69229]\n", + "--- Min DT=1.918404e-05 < 6.250000e-03 [305]\n", + "--- Max DT=3.750877e-01 > 1.000000e-01 [66646]\n", "----------------------------------------------------------------------\n", - " Component | low: 246/100000\n", - " Component | high: 69229/100000\n", + " Component | low: 305/100000\n", + " Component | high: 66646/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=37] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000614662 [ 0.35 %]\n", - "Velocity : 0.00245003 [ 1.41 %]\n", - "Force : 0.0618926 [ 35.61 %]\n", - "Coefs : 0.0262121 [ 15.08 %]\n", - "Output : 0.00789882 [ 4.54 %]\n", - "Levels : 0.000326497 [ 0.19 %]\n", - "Report : 1.295e-06 [ 0.00 %]\n", - "Balance : 7.42e-07 [ 0.00 %]\n", - "Adjust : 0.0743535 [ 42.78 %]\n", - "Total : 0.173808 [100.00 %]\n", + "Drift : 0.000962079 [ 0.71 %]\n", + "Velocity : 0.00192586 [ 1.43 %]\n", + "Force : 0.0471082 [ 34.96 %]\n", + "Coefs : 0.0185369 [ 13.76 %]\n", + "Output : 0.00579701 [ 4.30 %]\n", + "Levels : 0.000175881 [ 0.13 %]\n", + "Report : 1.282e-06 [ 0.00 %]\n", + "Balance : 5.53e-07 [ 0.00 %]\n", + "Adjust : 0.06021 [ 44.68 %]\n", + "Total : 0.134763 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6305 559 209 40 29 \n", - "1 : 6283 607 191 34 27 \n", - "2 : 6266 609 195 47 25 \n", - "3 : 6254 601 221 33 33 \n", - "4 : 6253 586 218 44 41 \n", - "5 : 6308 561 199 39 35 \n", - "6 : 6275 578 219 36 34 \n", - "7 : 6256 579 236 37 34 \n", - "8 : 6304 557 216 40 25 \n", - "9 : 6266 594 206 47 29 \n", - "10 : 6252 613 200 38 39 \n", - "11 : 6254 621 203 33 31 \n", - "12 : 6260 614 214 35 19 \n", - "13 : 6277 580 221 44 32 \n", + "0 : 6180 650 222 58 32 \n", + "1 : 6223 629 210 47 33 \n", + "2 : 6185 656 209 50 42 \n", + "3 : 6279 598 193 41 31 \n", + "4 : 6208 627 222 36 49 \n", + "5 : 6228 642 198 35 39 \n", + "6 : 6203 650 203 38 48 \n", + "7 : 6216 637 213 39 37 \n", + "8 : 6259 592 200 51 40 \n", + "9 : 6250 636 192 37 27 \n", + "10 : 6221 636 197 53 35 \n", + "11 : 6182 666 207 45 42 \n", + "12 : 6180 673 206 52 31 \n", + "13 : 6277 600 192 43 42 \n", "\n", - "T : 87813 8259 2948 547 433 [100000]\n", + "T : 87091 8892 2864 625 528 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.3%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.0921e-02 sec\n", - "--- Collate = 8.8097e-05 sec\n", + "--- Coef/DT = 3.3%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 1.0331e-02 sec\n", + "--- Collate = 8.8378e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.016025e-06 < 6.250000e-03 [236]\n", - "--- Max DT=3.756891e-01 > 1.000000e-01 [69226]\n", + "--- Min DT=8.755925e-07 < 6.250000e-03 [316]\n", + "--- Max DT=3.749150e-01 > 1.000000e-01 [66631]\n", "----------------------------------------------------------------------\n", - " Component | low: 236/100000\n", - " Component | high: 69226/100000\n", + " Component | low: 316/100000\n", + " Component | high: 66631/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=37.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000631138 [ 0.42 %]\n", - "Velocity : 0.00199842 [ 1.32 %]\n", - "Force : 0.05738 [ 37.94 %]\n", - "Coefs : 0.0223279 [ 14.76 %]\n", - "Output : 0.00115919 [ 0.77 %]\n", - "Levels : 0.00022233 [ 0.15 %]\n", - "Report : 1.127e-06 [ 0.00 %]\n", - "Balance : 5.89e-07 [ 0.00 %]\n", - "Adjust : 0.0674582 [ 44.61 %]\n", - "Total : 0.151232 [100.00 %]\n", + "Drift : 0.000561095 [ 0.43 %]\n", + "Velocity : 0.00142947 [ 1.10 %]\n", + "Force : 0.0457733 [ 35.33 %]\n", + "Coefs : 0.0193987 [ 14.97 %]\n", + "Output : 0.000797629 [ 0.62 %]\n", + "Levels : 0.000242011 [ 0.19 %]\n", + "Report : 1.252e-06 [ 0.00 %]\n", + "Balance : 4.77e-07 [ 0.00 %]\n", + "Adjust : 0.0612956 [ 47.32 %]\n", + "Total : 0.129543 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6304 561 203 40 34 \n", - "1 : 6277 611 191 35 28 \n", - "2 : 6263 601 205 44 29 \n", - "3 : 6254 603 213 37 35 \n", - "4 : 6250 589 217 50 36 \n", - "5 : 6308 554 203 42 35 \n", - "6 : 6272 573 223 46 28 \n", - "7 : 6258 572 242 39 31 \n", - "8 : 6294 563 215 43 27 \n", - "9 : 6273 584 210 51 24 \n", - "10 : 6244 622 195 49 32 \n", - "11 : 6252 620 203 40 27 \n", - "12 : 6264 602 217 39 20 \n", - "13 : 6276 568 228 51 31 \n", + "0 : 6178 651 223 56 34 \n", + "1 : 6215 628 215 53 31 \n", + "2 : 6180 659 207 54 42 \n", + "3 : 6277 598 191 43 33 \n", + "4 : 6210 621 225 38 48 \n", + "5 : 6213 654 203 36 36 \n", + "6 : 6193 655 209 39 46 \n", + "7 : 6215 636 217 35 39 \n", + "8 : 6253 597 204 43 45 \n", + "9 : 6253 630 195 37 27 \n", + "10 : 6218 631 204 51 38 \n", + "11 : 6176 670 204 54 38 \n", + "12 : 6173 679 209 55 26 \n", + "13 : 6264 614 192 40 44 \n", "\n", - "T : 87789 8223 2965 606 417 [100000]\n", + "T : 87018 8923 2898 634 527 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.5%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.3028e-02 sec\n", - "--- Collate = 2.8500e-04 sec\n", + "--- Coef/DT = 3.3%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 1.1157e-02 sec\n", + "--- Collate = 8.2639e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.163391e-06 < 6.250000e-03 [223]\n", - "--- Max DT=3.753261e-01 > 1.000000e-01 [69229]\n", + "--- Min DT=7.858353e-06 < 6.250000e-03 [309]\n", + "--- Max DT=3.745265e-01 > 1.000000e-01 [66587]\n", "----------------------------------------------------------------------\n", - " Component | low: 223/100000\n", - " Component | high: 69229/100000\n", + " Component | low: 309/100000\n", + " Component | high: 66587/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=37.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000478531 [ 0.31 %]\n", - "Velocity : 0.00158596 [ 1.04 %]\n", - "Force : 0.0551076 [ 36.14 %]\n", - "Coefs : 0.0223811 [ 14.68 %]\n", - "Output : 0.00124284 [ 0.82 %]\n", - "Levels : 0.00030329 [ 0.20 %]\n", - "Report : 1.552e-06 [ 0.00 %]\n", - "Balance : 6.33e-07 [ 0.00 %]\n", - "Adjust : 0.0713138 [ 46.77 %]\n", - "Total : 0.152468 [100.00 %]\n", + "Drift : 0.000565522 [ 0.42 %]\n", + "Velocity : 0.00175578 [ 1.32 %]\n", + "Force : 0.0468076 [ 35.14 %]\n", + "Coefs : 0.0195296 [ 14.66 %]\n", + "Output : 0.000932555 [ 0.70 %]\n", + "Levels : 0.000250235 [ 0.19 %]\n", + "Report : 1.163e-06 [ 0.00 %]\n", + "Balance : 4.58e-07 [ 0.00 %]\n", + "Adjust : 0.0633124 [ 47.53 %]\n", + "Total : 0.13321 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6301 562 202 42 35 \n", - "1 : 6278 605 193 35 31 \n", - "2 : 6255 607 205 46 29 \n", - "3 : 6251 601 219 35 36 \n", - "4 : 6253 593 207 57 32 \n", - "5 : 6303 554 207 45 33 \n", - "6 : 6268 571 229 47 27 \n", - "7 : 6253 582 224 53 30 \n", - "8 : 6288 568 214 49 23 \n", - "9 : 6267 585 218 44 28 \n", - "10 : 6245 613 199 54 31 \n", - "11 : 6259 610 210 40 23 \n", - "12 : 6255 608 218 39 22 \n", - "13 : 6267 580 226 48 33 \n", + "0 : 6165 661 230 50 36 \n", + "1 : 6207 639 211 54 31 \n", + "2 : 6174 665 209 56 38 \n", + "3 : 6272 603 186 52 29 \n", + "4 : 6212 619 225 39 47 \n", + "5 : 6203 655 207 37 40 \n", + "6 : 6185 663 208 38 48 \n", + "7 : 6209 639 214 41 39 \n", + "8 : 6251 596 207 45 43 \n", + "9 : 6240 642 191 43 26 \n", + "10 : 6216 628 207 48 43 \n", + "11 : 6171 672 207 54 38 \n", + "12 : 6172 671 223 49 27 \n", + "13 : 6248 632 192 33 49 \n", "\n", - "T : 87743 8239 2971 634 413 [100000]\n", + "T : 86925 8985 2917 639 534 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.3%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.2256e-02 sec\n", - "--- Collate = 7.6109e-05 sec\n", + "--- Coef/DT = 3.5%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 1.0449e-02 sec\n", + "--- Collate = 7.1406e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.076661e-06 < 6.250000e-03 [224]\n", - "--- Max DT=3.746822e-01 > 1.000000e-01 [69256]\n", + "--- Min DT=1.406809e-05 < 6.250000e-03 [326]\n", + "--- Max DT=3.736985e-01 > 1.000000e-01 [66576]\n", "----------------------------------------------------------------------\n", - " Component | low: 224/100000\n", - " Component | high: 69256/100000\n", + " Component | low: 326/100000\n", + " Component | high: 66576/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=37.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000693412 [ 0.42 %]\n", - "Velocity : 0.00198644 [ 1.19 %]\n", - "Force : 0.0587164 [ 35.32 %]\n", - "Coefs : 0.0256738 [ 15.44 %]\n", - "Output : 0.00125746 [ 0.76 %]\n", - "Levels : 0.000293794 [ 0.18 %]\n", - "Report : 1.113e-06 [ 0.00 %]\n", - "Balance : 5.18e-07 [ 0.00 %]\n", - "Adjust : 0.0775559 [ 46.65 %]\n", - "Total : 0.166234 [100.00 %]\n", + "Drift : 0.0005882 [ 0.46 %]\n", + "Velocity : 0.00146702 [ 1.14 %]\n", + "Force : 0.045684 [ 35.51 %]\n", + "Coefs : 0.0196183 [ 15.25 %]\n", + "Output : 0.000777151 [ 0.60 %]\n", + "Levels : 0.000215535 [ 0.17 %]\n", + "Report : 8.9e-07 [ 0.00 %]\n", + "Balance : 3.09e-07 [ 0.00 %]\n", + "Adjust : 0.0602704 [ 46.84 %]\n", + "Total : 0.128666 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6296 569 202 40 35 \n", - "1 : 6279 600 197 34 32 \n", - "2 : 6253 606 207 46 30 \n", - "3 : 6250 600 219 39 34 \n", - "4 : 6244 598 213 53 34 \n", - "5 : 6304 544 222 39 33 \n", - "6 : 6268 576 227 44 27 \n", - "7 : 6244 593 221 55 29 \n", - "8 : 6279 575 214 52 22 \n", - "9 : 6269 581 222 43 27 \n", - "10 : 6249 609 199 52 33 \n", - "11 : 6254 609 210 44 25 \n", - "12 : 6252 609 220 37 24 \n", - "13 : 6270 574 229 48 33 \n", + "0 : 6158 670 222 56 36 \n", + "1 : 6206 641 209 53 33 \n", + "2 : 6169 667 213 54 39 \n", + "3 : 6269 607 184 53 29 \n", + "4 : 6206 623 223 44 46 \n", + "5 : 6204 648 208 44 38 \n", + "6 : 6180 663 210 40 49 \n", + "7 : 6208 632 220 43 39 \n", + "8 : 6238 598 218 44 44 \n", + "9 : 6238 640 195 39 30 \n", + "10 : 6202 641 211 43 45 \n", + "11 : 6170 666 214 56 36 \n", + "12 : 6176 664 229 47 26 \n", + "13 : 6242 638 189 34 51 \n", "\n", - "T : 87711 8243 3002 626 418 [100000]\n", + "T : 86866 8998 2945 650 541 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.5%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.1121e-02 sec\n", - "--- Collate = 8.7080e-05 sec\n", + "--- Coef/DT = 3.9%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 1.0318e-02 sec\n", + "--- Collate = 6.0702e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.312173e-05 < 6.250000e-03 [228]\n", - "--- Max DT=3.741668e-01 > 1.000000e-01 [69290]\n", + "--- Min DT=6.242443e-06 < 6.250000e-03 [339]\n", + "--- Max DT=3.725798e-01 > 1.000000e-01 [66567]\n", "----------------------------------------------------------------------\n", - " Component | low: 228/100000\n", - " Component | high: 69290/100000\n", + " Component | low: 339/100000\n", + " Component | high: 66567/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=37.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000521406 [ 0.35 %]\n", - "Velocity : 0.00174536 [ 1.18 %]\n", - "Force : 0.0539759 [ 36.45 %]\n", - "Coefs : 0.0215483 [ 14.55 %]\n", - "Output : 0.00125629 [ 0.85 %]\n", - "Levels : 0.000293358 [ 0.20 %]\n", - "Report : 1.776e-06 [ 0.00 %]\n", - "Balance : 5.14e-07 [ 0.00 %]\n", - "Adjust : 0.0686991 [ 46.39 %]\n", - "Total : 0.148094 [100.00 %]\n", + "Drift : 0.000497873 [ 0.39 %]\n", + "Velocity : 0.0014128 [ 1.11 %]\n", + "Force : 0.044704 [ 35.24 %]\n", + "Coefs : 0.0194467 [ 15.33 %]\n", + "Output : 0.000699756 [ 0.55 %]\n", + "Levels : 0.000158548 [ 0.12 %]\n", + "Report : 5.69e-07 [ 0.00 %]\n", + "Balance : 2.46e-07 [ 0.00 %]\n", + "Adjust : 0.0599031 [ 47.22 %]\n", + "Total : 0.126866 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6302 567 200 40 33 \n", - "1 : 6274 605 188 41 34 \n", - "2 : 6253 601 212 50 26 \n", - "3 : 6246 603 218 41 34 \n", - "4 : 6240 598 216 55 33 \n", - "5 : 6295 554 219 39 35 \n", - "6 : 6270 574 224 54 20 \n", - "7 : 6241 599 219 48 35 \n", - "8 : 6274 577 214 55 22 \n", - "9 : 6269 580 220 47 26 \n", - "10 : 6251 602 205 48 36 \n", - "11 : 6236 625 213 44 24 \n", - "12 : 6246 612 218 44 22 \n", - "13 : 6269 570 232 48 35 \n", + "0 : 6162 664 228 47 41 \n", + "1 : 6202 643 203 56 38 \n", + "2 : 6164 667 217 57 37 \n", + "3 : 6270 606 183 50 33 \n", + "4 : 6206 623 222 49 42 \n", + "5 : 6194 660 195 58 35 \n", + "6 : 6180 661 212 36 53 \n", + "7 : 6196 642 222 43 39 \n", + "8 : 6226 604 216 45 51 \n", + "9 : 6225 644 199 46 28 \n", + "10 : 6198 638 211 48 47 \n", + "11 : 6162 671 221 44 44 \n", + "12 : 6161 677 232 44 28 \n", + "13 : 6244 628 192 43 47 \n", "\n", - "T : 87666 8267 2998 654 415 [100000]\n", + "T : 86790 9028 2953 666 563 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.2%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.2198e-02 sec\n", - "--- Collate = 8.4397e-05 sec\n", + "--- Coef/DT = 3.6%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 1.0529e-02 sec\n", + "--- Collate = 7.2225e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.515368e-05 < 6.250000e-03 [227]\n", - "--- Max DT=3.735859e-01 > 1.000000e-01 [69261]\n", + "--- Min DT=8.548658e-06 < 6.250000e-03 [342]\n", + "--- Max DT=3.713243e-01 > 1.000000e-01 [66538]\n", "----------------------------------------------------------------------\n", - " Component | low: 227/100000\n", - " Component | high: 69261/100000\n", + " Component | low: 342/100000\n", + " Component | high: 66538/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=37.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000748336 [ 0.50 %]\n", - "Velocity : 0.00211123 [ 1.41 %]\n", - "Force : 0.054635 [ 36.61 %]\n", - "Coefs : 0.0223637 [ 14.98 %]\n", - "Output : 0.00125803 [ 0.84 %]\n", - "Levels : 0.000279317 [ 0.19 %]\n", - "Report : 1.189e-06 [ 0.00 %]\n", - "Balance : 5.82e-07 [ 0.00 %]\n", - "Adjust : 0.0677925 [ 45.42 %]\n", - "Total : 0.149243 [100.00 %]\n", + "Drift : 0.000515842 [ 0.39 %]\n", + "Velocity : 0.00139562 [ 1.07 %]\n", + "Force : 0.0453728 [ 34.66 %]\n", + "Coefs : 0.020179 [ 15.42 %]\n", + "Output : 0.000888534 [ 0.68 %]\n", + "Levels : 0.000184658 [ 0.14 %]\n", + "Report : 1.047e-06 [ 0.00 %]\n", + "Balance : 3.54e-07 [ 0.00 %]\n", + "Adjust : 0.06232 [ 47.61 %]\n", + "Total : 0.130901 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6301 567 198 43 33 \n", - "1 : 6270 606 188 45 33 \n", - "2 : 6255 595 217 49 26 \n", - "3 : 6238 613 217 41 33 \n", - "4 : 6241 589 233 45 34 \n", - "5 : 6297 545 226 41 33 \n", - "6 : 6270 573 220 61 18 \n", - "7 : 6233 604 219 56 30 \n", - "8 : 6269 583 217 49 24 \n", - "9 : 6267 580 222 49 24 \n", - "10 : 6251 605 198 56 32 \n", - "11 : 6232 624 217 47 22 \n", - "12 : 6246 601 221 46 28 \n", - "13 : 6254 580 244 45 31 \n", + "0 : 6152 674 225 55 36 \n", + "1 : 6210 627 206 56 43 \n", + "2 : 6158 666 226 58 34 \n", + "3 : 6266 605 180 54 37 \n", + "4 : 6207 628 214 51 42 \n", + "5 : 6189 660 198 57 38 \n", + "6 : 6180 662 205 41 54 \n", + "7 : 6187 650 221 44 40 \n", + "8 : 6227 600 216 53 46 \n", + "9 : 6225 648 190 48 31 \n", + "10 : 6185 649 214 48 46 \n", + "11 : 6157 673 221 42 49 \n", + "12 : 6159 675 233 40 35 \n", + "13 : 6249 625 193 40 47 \n", "\n", - "T : 87624 8265 3037 673 401 [100000]\n", + "T : 86751 9042 2942 687 578 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 3.4%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.2335e-02 sec\n", - "--- Collate = 9.5871e-05 sec\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 1.0576e-02 sec\n", + "--- Collate = 7.3970e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.657437e-06 < 6.250000e-03 [218]\n", - "--- Max DT=3.730603e-01 > 1.000000e-01 [69249]\n", + "--- Min DT=4.817114e-07 < 6.250000e-03 [347]\n", + "--- Max DT=3.699922e-01 > 1.000000e-01 [66517]\n", "----------------------------------------------------------------------\n", - " Component | low: 218/100000\n", - " Component | high: 69249/100000\n", + " Component | low: 347/100000\n", + " Component | high: 66517/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=37.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000770493 [ 0.46 %]\n", - "Velocity : 0.00174326 [ 1.05 %]\n", - "Force : 0.060283 [ 36.29 %]\n", - "Coefs : 0.0250305 [ 15.07 %]\n", - "Output : 0.00110773 [ 0.67 %]\n", - "Levels : 0.00027034 [ 0.16 %]\n", - "Report : 1.545e-06 [ 0.00 %]\n", - "Balance : 7.29e-07 [ 0.00 %]\n", - "Adjust : 0.0768306 [ 46.26 %]\n", - "Total : 0.1661 [100.00 %]\n", + "Drift : 0.000614331 [ 0.46 %]\n", + "Velocity : 0.00152773 [ 1.15 %]\n", + "Force : 0.0469061 [ 35.41 %]\n", + "Coefs : 0.0195381 [ 14.75 %]\n", + "Output : 0.000944464 [ 0.71 %]\n", + "Levels : 0.000206497 [ 0.16 %]\n", + "Report : 9.48e-07 [ 0.00 %]\n", + "Balance : 4.33e-07 [ 0.00 %]\n", + "Adjust : 0.0626665 [ 47.31 %]\n", + "Total : 0.132455 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6302 562 197 40 41 \n", - "1 : 6271 594 196 49 32 \n", - "2 : 6246 597 225 45 29 \n", - "3 : 6239 609 217 44 33 \n", - "4 : 6238 595 228 46 35 \n", - "5 : 6293 554 218 43 34 \n", - "6 : 6271 570 225 57 19 \n", - "7 : 6230 609 214 59 30 \n", - "8 : 6266 590 212 50 24 \n", - "9 : 6278 568 225 43 28 \n", - "10 : 6246 601 208 57 30 \n", - "11 : 6230 622 220 47 23 \n", - "12 : 6244 598 227 41 32 \n", - "13 : 6250 586 240 45 33 \n", + "0 : 6150 672 231 50 39 \n", + "1 : 6209 625 205 59 44 \n", + "2 : 6162 660 230 54 36 \n", + "3 : 6253 612 183 57 37 \n", + "4 : 6200 626 225 42 49 \n", + "5 : 6181 672 193 56 40 \n", + "6 : 6182 654 214 37 55 \n", + "7 : 6178 654 226 46 38 \n", + "8 : 6231 594 218 53 46 \n", + "9 : 6221 646 193 50 32 \n", + "10 : 6182 657 207 52 44 \n", + "11 : 6152 675 227 42 46 \n", + "12 : 6157 679 229 40 37 \n", + "13 : 6245 625 193 45 46 \n", "\n", - "T : 87604 8255 3052 666 423 [100000]\n", + "T : 86703 9051 2974 683 589 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.2%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.1473e-02 sec\n", - "--- Collate = 9.6835e-05 sec\n", + "--- Coef/DT = 3.8%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 1.0511e-02 sec\n", + "--- Collate = 8.2233e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.679900e-05 < 6.250000e-03 [220]\n", - "--- Max DT=3.725738e-01 > 1.000000e-01 [69260]\n", + "--- Min DT=2.344007e-06 < 6.250000e-03 [375]\n", + "--- Max DT=3.687513e-01 > 1.000000e-01 [66498]\n", "----------------------------------------------------------------------\n", - " Component | low: 220/100000\n", - " Component | high: 69260/100000\n", + " Component | low: 375/100000\n", + " Component | high: 66498/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=37.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000606879 [ 0.38 %]\n", - "Velocity : 0.00210268 [ 1.33 %]\n", - "Force : 0.0572508 [ 36.21 %]\n", - "Coefs : 0.0240667 [ 15.22 %]\n", - "Output : 0.00138867 [ 0.88 %]\n", - "Levels : 0.000293242 [ 0.19 %]\n", - "Report : 1.18e-06 [ 0.00 %]\n", - "Balance : 5.64e-07 [ 0.00 %]\n", - "Adjust : 0.0723568 [ 45.76 %]\n", - "Total : 0.15812 [100.00 %]\n", + "Drift : 0.000500639 [ 0.39 %]\n", + "Velocity : 0.00136836 [ 1.07 %]\n", + "Force : 0.0452215 [ 35.23 %]\n", + "Coefs : 0.0199144 [ 15.52 %]\n", + "Output : 0.000678914 [ 0.53 %]\n", + "Levels : 0.000283255 [ 0.22 %]\n", + "Report : 9.81e-07 [ 0.00 %]\n", + "Balance : 6.97e-07 [ 0.00 %]\n", + "Adjust : 0.060343 [ 47.01 %]\n", + "Total : 0.128353 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6299 565 203 41 34 \n", - "1 : 6267 596 202 49 28 \n", - "2 : 6252 591 225 46 28 \n", - "3 : 6235 601 231 42 33 \n", - "4 : 6241 589 235 44 33 \n", - "5 : 6287 564 221 42 28 \n", - "6 : 6272 565 235 48 22 \n", - "7 : 6228 608 215 58 33 \n", - "8 : 6261 596 211 45 29 \n", - "9 : 6278 563 231 39 31 \n", - "10 : 6240 609 207 53 33 \n", - "11 : 6232 613 227 45 25 \n", - "12 : 6240 606 219 45 32 \n", - "13 : 6249 584 246 42 33 \n", + "0 : 6143 677 232 47 43 \n", + "1 : 6205 624 203 62 48 \n", + "2 : 6156 666 221 57 42 \n", + "3 : 6257 601 198 55 31 \n", + "4 : 6198 621 231 41 51 \n", + "5 : 6176 667 207 52 40 \n", + "6 : 6179 656 214 41 52 \n", + "7 : 6174 658 222 52 36 \n", + "8 : 6226 596 226 46 48 \n", + "9 : 6216 647 197 47 35 \n", + "10 : 6177 660 208 52 45 \n", + "11 : 6153 678 219 48 44 \n", + "12 : 6166 667 229 42 38 \n", + "13 : 6243 619 197 50 45 \n", "\n", - "T : 87581 8250 3108 639 422 [100000]\n", + "T : 86669 9037 3004 692 598 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.8%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.2658e-02 sec\n", - "--- Collate = 9.8495e-05 sec\n", + "--- Coef/DT = 4.1%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 1.0179e-02 sec\n", + "--- Collate = 8.6796e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.573859e-05 < 6.250000e-03 [208]\n", - "--- Max DT=3.722458e-01 > 1.000000e-01 [69256]\n", + "--- Min DT=1.527664e-07 < 6.250000e-03 [379]\n", + "--- Max DT=3.675611e-01 > 1.000000e-01 [66441]\n", "----------------------------------------------------------------------\n", - " Component | low: 208/100000\n", - " Component | high: 69256/100000\n", + " Component | low: 379/100000\n", + " Component | high: 66441/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=37.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00115694 [ 0.74 %]\n", - "Velocity : 0.00334721 [ 2.15 %]\n", - "Force : 0.0572225 [ 36.73 %]\n", - "Coefs : 0.022711 [ 14.58 %]\n", - "Output : 0.000920655 [ 0.59 %]\n", - "Levels : 0.000263966 [ 0.17 %]\n", - "Report : 8.5e-07 [ 0.00 %]\n", - "Balance : 4.48e-07 [ 0.00 %]\n", - "Adjust : 0.0701264 [ 45.01 %]\n", - "Total : 0.155805 [100.00 %]\n", + "Drift : 0.000545769 [ 0.42 %]\n", + "Velocity : 0.0016142 [ 1.24 %]\n", + "Force : 0.0468514 [ 35.89 %]\n", + "Coefs : 0.0195795 [ 15.00 %]\n", + "Output : 0.00100195 [ 0.77 %]\n", + "Levels : 0.000242597 [ 0.19 %]\n", + "Report : 1.384e-06 [ 0.00 %]\n", + "Balance : 5.46e-07 [ 0.00 %]\n", + "Adjust : 0.060637 [ 46.46 %]\n", + "Total : 0.130524 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6302 565 203 40 32 \n", - "1 : 6262 603 200 51 26 \n", - "2 : 6249 592 230 45 26 \n", - "3 : 6239 594 236 38 35 \n", - "4 : 6237 598 229 42 36 \n", - "5 : 6289 561 221 46 25 \n", - "6 : 6270 565 236 48 23 \n", - "7 : 6227 608 215 60 32 \n", - "8 : 6257 593 221 42 29 \n", - "9 : 6274 561 236 40 31 \n", - "10 : 6233 609 209 55 36 \n", - "11 : 6224 621 228 45 24 \n", - "12 : 6228 609 227 45 33 \n", - "13 : 6247 580 253 47 27 \n", + "0 : 6138 683 227 52 42 \n", + "1 : 6197 632 206 59 48 \n", + "2 : 6143 676 225 57 41 \n", + "3 : 6251 607 199 50 35 \n", + "4 : 6188 625 237 43 49 \n", + "5 : 6170 669 210 51 42 \n", + "6 : 6171 661 214 47 49 \n", + "7 : 6161 667 221 50 43 \n", + "8 : 6217 606 224 50 45 \n", + "9 : 6206 657 195 47 37 \n", + "10 : 6177 653 209 57 46 \n", + "11 : 6151 683 212 49 47 \n", + "12 : 6177 662 220 51 32 \n", + "13 : 6244 611 204 54 41 \n", "\n", - "T : 87538 8259 3144 644 415 [100000]\n", + "T : 86591 9092 3003 717 597 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.1%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.2640e-02 sec\n", - "--- Collate = 8.2068e-05 sec\n", + "--- Coef/DT = 3.5%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 1.0368e-02 sec\n", + "--- Collate = 7.2271e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.115796e-06 < 6.250000e-03 [214]\n", - "--- Max DT=3.719135e-01 > 1.000000e-01 [69250]\n", + "--- Min DT=4.982116e-07 < 6.250000e-03 [375]\n", + "--- Max DT=3.664969e-01 > 1.000000e-01 [66414]\n", "----------------------------------------------------------------------\n", - " Component | low: 214/100000\n", - " Component | high: 69250/100000\n", + " Component | low: 375/100000\n", + " Component | high: 66414/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=37.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00144617 [ 0.88 %]\n", - "Velocity : 0.003562 [ 2.16 %]\n", - "Force : 0.0597213 [ 36.25 %]\n", - "Coefs : 0.0241572 [ 14.66 %]\n", - "Output : 0.00179972 [ 1.09 %]\n", - "Levels : 0.000262395 [ 0.16 %]\n", - "Report : 8.16e-07 [ 0.00 %]\n", - "Balance : 4.23e-07 [ 0.00 %]\n", - "Adjust : 0.0737601 [ 44.77 %]\n", - "Total : 0.164765 [100.00 %]\n", + "Drift : 0.000567428 [ 0.44 %]\n", + "Velocity : 0.00171138 [ 1.34 %]\n", + "Force : 0.0452674 [ 35.37 %]\n", + "Coefs : 0.0193565 [ 15.12 %]\n", + "Output : 0.000891836 [ 0.70 %]\n", + "Levels : 0.000157573 [ 0.12 %]\n", + "Report : 1.482e-06 [ 0.00 %]\n", + "Balance : 6.12e-07 [ 0.00 %]\n", + "Adjust : 0.059988 [ 46.87 %]\n", + "Total : 0.127991 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6286 580 200 41 35 \n", - "1 : 6260 604 198 51 29 \n", - "2 : 6246 590 231 50 25 \n", - "3 : 6236 608 221 38 39 \n", - "4 : 6229 599 239 38 37 \n", - "5 : 6285 561 222 47 27 \n", - "6 : 6269 569 232 48 24 \n", - "7 : 6215 612 220 60 35 \n", - "8 : 6257 601 214 44 26 \n", - "9 : 6272 556 238 50 26 \n", - "10 : 6231 603 219 47 42 \n", - "11 : 6236 602 233 44 27 \n", - "12 : 6234 595 237 45 31 \n", - "13 : 6238 591 249 52 24 \n", + "0 : 6131 685 227 55 44 \n", + "1 : 6193 631 209 64 45 \n", + "2 : 6134 675 227 59 47 \n", + "3 : 6242 606 202 54 38 \n", + "4 : 6185 629 230 48 50 \n", + "5 : 6163 675 215 41 48 \n", + "6 : 6165 662 224 43 48 \n", + "7 : 6147 685 212 56 42 \n", + "8 : 6208 618 219 53 44 \n", + "9 : 6201 663 188 51 39 \n", + "10 : 6168 657 213 56 48 \n", + "11 : 6141 686 217 53 45 \n", + "12 : 6171 667 219 49 36 \n", + "13 : 6238 615 207 48 46 \n", "\n", - "T : 87494 8271 3153 655 427 [100000]\n", + "T : 86487 9154 3009 730 620 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.1395e-02 sec\n", - "--- Collate = 9.6382e-05 sec\n", + "--- Coef/DT = 3.6%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 1.0035e-02 sec\n", + "--- Collate = 7.1864e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.752458e-06 < 6.250000e-03 [225]\n", - "--- Max DT=3.715478e-01 > 1.000000e-01 [69274]\n", + "--- Min DT=1.255935e-05 < 6.250000e-03 [381]\n", + "--- Max DT=3.652453e-01 > 1.000000e-01 [66401]\n", "----------------------------------------------------------------------\n", - " Component | low: 225/100000\n", - " Component | high: 69274/100000\n", + " Component | low: 381/100000\n", + " Component | high: 66401/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=38] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00142073 [ 0.84 %]\n", - "Velocity : 0.00310598 [ 1.83 %]\n", - "Force : 0.0600833 [ 35.50 %]\n", - "Coefs : 0.0274695 [ 16.23 %]\n", - "Output : 0.00729765 [ 4.31 %]\n", - "Levels : 0.000252342 [ 0.15 %]\n", - "Report : 1.408e-06 [ 0.00 %]\n", - "Balance : 6.88e-07 [ 0.00 %]\n", - "Adjust : 0.0695806 [ 41.11 %]\n", - "Total : 0.169271 [100.00 %]\n", + "Drift : 0.000479789 [ 0.36 %]\n", + "Velocity : 0.00138895 [ 1.04 %]\n", + "Force : 0.0455527 [ 34.18 %]\n", + "Coefs : 0.0199082 [ 14.94 %]\n", + "Output : 0.00489996 [ 3.68 %]\n", + "Levels : 0.00015521 [ 0.12 %]\n", + "Report : 1.391e-06 [ 0.00 %]\n", + "Balance : 6.38e-07 [ 0.00 %]\n", + "Adjust : 0.0608478 [ 45.65 %]\n", + "Total : 0.133279 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6282 582 199 44 35 \n", - "1 : 6251 607 196 61 27 \n", - "2 : 6246 588 233 53 22 \n", - "3 : 6231 619 211 40 41 \n", - "4 : 6227 605 230 43 37 \n", - "5 : 6277 572 226 43 24 \n", - "6 : 6258 583 232 45 24 \n", - "7 : 6209 617 221 64 31 \n", - "8 : 6254 596 217 47 28 \n", - "9 : 6259 571 229 56 27 \n", - "10 : 6222 604 228 49 39 \n", - "11 : 6239 599 231 44 29 \n", - "12 : 6220 607 239 43 33 \n", - "13 : 6237 592 251 51 23 \n", + "0 : 6127 690 223 58 44 \n", + "1 : 6180 635 221 62 44 \n", + "2 : 6137 677 214 65 49 \n", + "3 : 6231 608 207 53 43 \n", + "4 : 6179 633 228 53 49 \n", + "5 : 6157 677 220 40 48 \n", + "6 : 6161 667 221 42 51 \n", + "7 : 6145 682 211 62 42 \n", + "8 : 6198 623 215 62 44 \n", + "9 : 6191 668 195 42 46 \n", + "10 : 6163 656 217 59 47 \n", + "11 : 6140 683 216 56 47 \n", + "12 : 6171 661 223 53 34 \n", + "13 : 6236 615 209 45 49 \n", "\n", - "T : 87412 8342 3143 683 420 [100000]\n", + "T : 86416 9175 3020 752 637 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.6%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 3.6407e-02 sec\n", - "--- Collate = 2.1294e-03 sec\n", + "--- Coef/DT = 3.4%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 1.0181e-02 sec\n", + "--- Collate = 8.1290e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.813146e-05 < 6.250000e-03 [237]\n", - "--- Max DT=3.710894e-01 > 1.000000e-01 [69293]\n", + "--- Min DT=3.332652e-06 < 6.250000e-03 [394]\n", + "--- Max DT=3.640518e-01 > 1.000000e-01 [66422]\n", "----------------------------------------------------------------------\n", - " Component | low: 237/100000\n", - " Component | high: 69293/100000\n", + " Component | low: 394/100000\n", + " Component | high: 66422/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=38.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000819326 [ 0.24 %]\n", - "Velocity : 0.00318289 [ 0.92 %]\n", - "Force : 0.0826717 [ 23.85 %]\n", - "Coefs : 0.100115 [ 28.88 %]\n", - "Output : 0.00102136 [ 0.29 %]\n", - "Levels : 0.000299524 [ 0.09 %]\n", - "Report : 1.224e-06 [ 0.00 %]\n", - "Balance : 3.83e-07 [ 0.00 %]\n", - "Adjust : 0.158507 [ 45.72 %]\n", - "Total : 0.346675 [100.00 %]\n", + "Drift : 0.000484316 [ 0.38 %]\n", + "Velocity : 0.00136901 [ 1.06 %]\n", + "Force : 0.045599 [ 35.39 %]\n", + "Coefs : 0.0197619 [ 15.34 %]\n", + "Output : 0.000771902 [ 0.60 %]\n", + "Levels : 0.000248787 [ 0.19 %]\n", + "Report : 1.079e-06 [ 0.00 %]\n", + "Balance : 3.88e-07 [ 0.00 %]\n", + "Adjust : 0.0605614 [ 47.00 %]\n", + "Total : 0.128841 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6276 587 198 51 30 \n", - "1 : 6249 600 207 59 27 \n", - "2 : 6242 591 235 51 23 \n", - "3 : 6233 609 221 39 40 \n", - "4 : 6226 599 240 37 40 \n", - "5 : 6276 575 228 34 29 \n", - "6 : 6259 581 236 37 29 \n", - "7 : 6207 620 219 65 31 \n", - "8 : 6249 600 216 46 31 \n", - "9 : 6256 572 232 53 29 \n", - "10 : 6223 596 232 51 40 \n", - "11 : 6235 611 218 47 31 \n", - "12 : 6216 611 236 42 37 \n", - "13 : 6234 596 251 50 23 \n", + "0 : 6120 691 226 61 44 \n", + "1 : 6169 644 217 66 46 \n", + "2 : 6141 662 223 62 54 \n", + "3 : 6233 607 199 60 43 \n", + "4 : 6180 625 232 53 52 \n", + "5 : 6146 683 217 49 47 \n", + "6 : 6152 673 224 49 44 \n", + "7 : 6144 675 220 61 42 \n", + "8 : 6202 619 220 52 49 \n", + "9 : 6186 671 197 45 43 \n", + "10 : 6169 655 213 60 45 \n", + "11 : 6124 697 214 63 44 \n", + "12 : 6165 661 223 53 40 \n", + "13 : 6228 623 205 50 48 \n", "\n", - "T : 87381 8348 3169 662 440 [100000]\n", + "T : 86359 9186 3030 784 641 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.4%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.4124e-02 sec\n", - "--- Collate = 1.0169e-04 sec\n", + "--- Coef/DT = 3.7%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 1.0277e-02 sec\n", + "--- Collate = 6.7761e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.544606e-05 < 6.250000e-03 [228]\n", - "--- Max DT=3.706498e-01 > 1.000000e-01 [69282]\n", + "--- Min DT=5.243265e-06 < 6.250000e-03 [401]\n", + "--- Max DT=3.626458e-01 > 1.000000e-01 [66399]\n", "----------------------------------------------------------------------\n", - " Component | low: 228/100000\n", - " Component | high: 69282/100000\n", + " Component | low: 401/100000\n", + " Component | high: 66399/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=38.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000986893 [ 0.25 %]\n", - "Velocity : 0.00524684 [ 1.35 %]\n", - "Force : 0.148282 [ 38.02 %]\n", - "Coefs : 0.0862987 [ 22.13 %]\n", - "Output : 0.00165821 [ 0.43 %]\n", - "Levels : 0.000320987 [ 0.08 %]\n", - "Report : 1.02e-06 [ 0.00 %]\n", - "Balance : 4.16e-07 [ 0.00 %]\n", - "Adjust : 0.147161 [ 37.73 %]\n", - "Total : 0.390029 [100.00 %]\n", + "Drift : 0.000517732 [ 0.40 %]\n", + "Velocity : 0.00149513 [ 1.17 %]\n", + "Force : 0.0451772 [ 35.23 %]\n", + "Coefs : 0.019746 [ 15.40 %]\n", + "Output : 0.000692884 [ 0.54 %]\n", + "Levels : 0.000237308 [ 0.19 %]\n", + "Report : 5.13e-07 [ 0.00 %]\n", + "Balance : 4.06e-07 [ 0.00 %]\n", + "Adjust : 0.0603285 [ 47.05 %]\n", + "Total : 0.128233 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6278 583 196 55 30 \n", - "1 : 6247 605 203 57 30 \n", - "2 : 6240 585 243 49 25 \n", - "3 : 6231 611 222 38 40 \n", - "4 : 6222 608 239 39 34 \n", - "5 : 6267 581 223 39 32 \n", - "6 : 6256 596 223 37 30 \n", - "7 : 6201 619 224 67 31 \n", - "8 : 6253 603 207 54 25 \n", - "9 : 6255 569 240 49 29 \n", - "10 : 6224 591 237 48 42 \n", - "11 : 6231 607 226 45 33 \n", - "12 : 6218 610 234 46 34 \n", - "13 : 6232 599 245 57 21 \n", + "0 : 6118 694 219 62 49 \n", + "1 : 6163 653 211 67 48 \n", + "2 : 6146 655 219 67 55 \n", + "3 : 6225 612 198 64 43 \n", + "4 : 6173 626 233 53 57 \n", + "5 : 6142 683 220 50 47 \n", + "6 : 6150 675 221 55 41 \n", + "7 : 6146 658 227 61 50 \n", + "8 : 6193 623 224 53 49 \n", + "9 : 6186 664 202 47 43 \n", + "10 : 6161 650 219 61 51 \n", + "11 : 6122 696 216 60 48 \n", + "12 : 6158 665 213 67 39 \n", + "13 : 6222 622 212 50 48 \n", "\n", - "T : 87355 8367 3162 680 436 [100000]\n", + "T : 86305 9176 3034 817 668 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.1581e-02 sec\n", - "--- Collate = 7.6695e-05 sec\n", + "--- Coef/DT = 3.9%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 1.0212e-02 sec\n", + "--- Collate = 6.5307e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.760211e-06 < 6.250000e-03 [217]\n", - "--- Max DT=3.702129e-01 > 1.000000e-01 [69294]\n", + "--- Min DT=2.774872e-07 < 6.250000e-03 [396]\n", + "--- Max DT=3.611392e-01 > 1.000000e-01 [66365]\n", "----------------------------------------------------------------------\n", - " Component | low: 217/100000\n", - " Component | high: 69294/100000\n", + " Component | low: 396/100000\n", + " Component | high: 66365/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=38.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000988412 [ 0.54 %]\n", - "Velocity : 0.00350896 [ 1.91 %]\n", - "Force : 0.073571 [ 40.03 %]\n", - "Coefs : 0.0275422 [ 14.99 %]\n", - "Output : 0.00175847 [ 0.96 %]\n", - "Levels : 0.000275952 [ 0.15 %]\n", - "Report : 9.54e-07 [ 0.00 %]\n", - "Balance : 3.54e-07 [ 0.00 %]\n", - "Adjust : 0.0760725 [ 41.40 %]\n", - "Total : 0.183772 [100.00 %]\n", + "Drift : 0.000551981 [ 0.43 %]\n", + "Velocity : 0.00134723 [ 1.04 %]\n", + "Force : 0.0463104 [ 35.87 %]\n", + "Coefs : 0.0200211 [ 15.51 %]\n", + "Output : 0.000686822 [ 0.53 %]\n", + "Levels : 0.000142972 [ 0.11 %]\n", + "Report : 9.46e-07 [ 0.00 %]\n", + "Balance : 4e-07 [ 0.00 %]\n", + "Adjust : 0.0599966 [ 46.47 %]\n", + "Total : 0.129098 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6273 582 202 57 28 \n", - "1 : 6249 604 208 51 30 \n", - "2 : 6230 600 237 50 25 \n", - "3 : 6224 617 224 38 39 \n", - "4 : 6216 616 237 40 33 \n", - "5 : 6263 584 227 39 29 \n", - "6 : 6251 602 223 35 31 \n", - "7 : 6200 619 225 67 31 \n", - "8 : 6246 614 205 50 27 \n", - "9 : 6249 576 232 57 28 \n", - "10 : 6221 602 231 47 41 \n", - "11 : 6231 611 216 51 33 \n", - "12 : 6220 614 222 52 34 \n", - "13 : 6228 603 242 55 26 \n", + "0 : 6117 680 231 58 56 \n", + "1 : 6153 656 219 63 51 \n", + "2 : 6140 649 229 66 58 \n", + "3 : 6222 610 209 55 46 \n", + "4 : 6162 633 229 62 56 \n", + "5 : 6142 682 216 52 50 \n", + "6 : 6150 672 219 60 41 \n", + "7 : 6141 661 232 56 52 \n", + "8 : 6183 627 227 57 48 \n", + "9 : 6182 663 202 51 44 \n", + "10 : 6149 654 223 71 45 \n", + "11 : 6118 695 219 63 47 \n", + "12 : 6155 669 212 66 40 \n", + "13 : 6219 620 224 43 48 \n", "\n", - "T : 87301 8444 3131 689 435 [100000]\n", + "T : 86233 9171 3091 823 682 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.3%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.0621e-02 sec\n", - "--- Collate = 6.9088e-05 sec\n", + "--- Coef/DT = 3.6%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 1.0482e-02 sec\n", + "--- Collate = 7.7464e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.784271e-06 < 6.250000e-03 [226]\n", - "--- Max DT=3.697341e-01 > 1.000000e-01 [69283]\n", + "--- Min DT=2.110850e-05 < 6.250000e-03 [403]\n", + "--- Max DT=3.595929e-01 > 1.000000e-01 [66341]\n", "----------------------------------------------------------------------\n", - " Component | low: 226/100000\n", - " Component | high: 69283/100000\n", + " Component | low: 403/100000\n", + " Component | high: 66341/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=38.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000971569 [ 0.61 %]\n", - "Velocity : 0.00329896 [ 2.06 %]\n", - "Force : 0.0589199 [ 36.72 %]\n", - "Coefs : 0.0209937 [ 13.08 %]\n", - "Output : 0.00168547 [ 1.05 %]\n", - "Levels : 0.000399365 [ 0.25 %]\n", - "Report : 1.12e-06 [ 0.00 %]\n", - "Balance : 2.92e-07 [ 0.00 %]\n", - "Adjust : 0.0741409 [ 46.20 %]\n", - "Total : 0.160465 [100.00 %]\n", + "Drift : 0.000509671 [ 0.37 %]\n", + "Velocity : 0.00166612 [ 1.21 %]\n", + "Force : 0.0505965 [ 36.78 %]\n", + "Coefs : 0.0201419 [ 14.64 %]\n", + "Output : 0.000983602 [ 0.71 %]\n", + "Levels : 0.000246687 [ 0.18 %]\n", + "Report : 8.2e-07 [ 0.00 %]\n", + "Balance : 8.58e-07 [ 0.00 %]\n", + "Adjust : 0.0633868 [ 46.07 %]\n", + "Total : 0.137584 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6272 576 205 58 31 \n", - "1 : 6249 601 209 55 28 \n", - "2 : 6225 608 240 47 22 \n", - "3 : 6221 621 223 44 33 \n", - "4 : 6218 617 234 36 37 \n", - "5 : 6261 589 225 36 31 \n", - "6 : 6252 609 212 36 33 \n", - "7 : 6194 630 222 64 32 \n", - "8 : 6259 606 196 51 30 \n", - "9 : 6247 587 219 60 29 \n", - "10 : 6222 602 229 46 43 \n", - "11 : 6232 604 217 57 32 \n", - "12 : 6226 604 217 57 38 \n", - "13 : 6230 604 244 52 24 \n", + "0 : 6112 680 234 63 53 \n", + "1 : 6144 659 227 61 51 \n", + "2 : 6141 645 225 72 59 \n", + "3 : 6222 602 218 51 49 \n", + "4 : 6158 636 231 62 55 \n", + "5 : 6143 672 225 54 48 \n", + "6 : 6141 683 217 52 49 \n", + "7 : 6138 664 230 53 57 \n", + "8 : 6179 627 226 61 49 \n", + "9 : 6179 656 213 54 40 \n", + "10 : 6141 658 232 60 51 \n", + "11 : 6114 699 219 61 49 \n", + "12 : 6152 671 217 61 41 \n", + "13 : 6210 626 221 44 53 \n", "\n", - "T : 87308 8458 3092 699 443 [100000]\n", + "T : 86174 9178 3135 809 704 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.1591e-02 sec\n", - "--- Collate = 9.9618e-05 sec\n", + "--- Coef/DT = 3.7%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 1.0388e-02 sec\n", + "--- Collate = 7.5364e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.467301e-06 < 6.250000e-03 [226]\n", - "--- Max DT=3.691527e-01 > 1.000000e-01 [69288]\n", + "--- Min DT=2.196970e-06 < 6.250000e-03 [421]\n", + "--- Max DT=3.577692e-01 > 1.000000e-01 [66318]\n", "----------------------------------------------------------------------\n", - " Component | low: 226/100000\n", - " Component | high: 69288/100000\n", + " Component | low: 421/100000\n", + " Component | high: 66318/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=38.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000977624 [ 0.64 %]\n", - "Velocity : 0.00258304 [ 1.69 %]\n", - "Force : 0.0555441 [ 36.31 %]\n", - "Coefs : 0.0217883 [ 14.24 %]\n", - "Output : 0.0014991 [ 0.98 %]\n", - "Levels : 0.00025154 [ 0.16 %]\n", - "Report : 9.99e-07 [ 0.00 %]\n", - "Balance : 3.03e-07 [ 0.00 %]\n", - "Adjust : 0.0702758 [ 45.94 %]\n", - "Total : 0.152974 [100.00 %]\n", + "Drift : 0.000490412 [ 0.38 %]\n", + "Velocity : 0.00152802 [ 1.17 %]\n", + "Force : 0.0463804 [ 35.47 %]\n", + "Coefs : 0.019911 [ 15.23 %]\n", + "Output : 0.000831796 [ 0.64 %]\n", + "Levels : 0.000171891 [ 0.13 %]\n", + "Report : 9.6e-07 [ 0.00 %]\n", + "Balance : 4.91e-07 [ 0.00 %]\n", + "Adjust : 0.0613971 [ 46.96 %]\n", + "Total : 0.130755 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6262 579 209 56 36 \n", - "1 : 6254 592 215 49 32 \n", - "2 : 6223 605 239 49 26 \n", - "3 : 6223 613 228 47 31 \n", - "4 : 6211 623 234 37 37 \n", - "5 : 6259 594 216 46 27 \n", - "6 : 6249 607 214 40 32 \n", - "7 : 6189 633 225 59 36 \n", - "8 : 6255 608 197 53 29 \n", - "9 : 6241 599 214 57 31 \n", - "10 : 6222 599 228 56 37 \n", - "11 : 6226 606 221 56 33 \n", - "12 : 6219 609 217 59 38 \n", - "13 : 6220 611 253 51 19 \n", + "0 : 6101 687 235 64 55 \n", + "1 : 6142 654 235 58 53 \n", + "2 : 6137 643 225 77 60 \n", + "3 : 6219 606 210 58 49 \n", + "4 : 6158 629 232 70 53 \n", + "5 : 6144 665 223 65 45 \n", + "6 : 6132 686 221 51 52 \n", + "7 : 6143 654 232 58 55 \n", + "8 : 6169 634 224 65 50 \n", + "9 : 6169 664 214 49 46 \n", + "10 : 6142 654 224 72 50 \n", + "11 : 6105 707 219 60 51 \n", + "12 : 6146 676 216 59 45 \n", + "13 : 6202 635 223 50 44 \n", "\n", - "T : 87253 8478 3110 715 444 [100000]\n", + "T : 86109 9194 3133 856 708 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.9%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.2591e-02 sec\n", - "--- Collate = 9.1493e-05 sec\n", + "--- Coef/DT = 3.7%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 1.0233e-02 sec\n", + "--- Collate = 7.7339e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.220019e-05 < 6.250000e-03 [235]\n", - "--- Max DT=3.684846e-01 > 1.000000e-01 [69295]\n", + "--- Min DT=9.593887e-06 < 6.250000e-03 [430]\n", + "--- Max DT=3.561127e-01 > 1.000000e-01 [66299]\n", "----------------------------------------------------------------------\n", - " Component | low: 235/100000\n", - " Component | high: 69295/100000\n", + " Component | low: 430/100000\n", + " Component | high: 66299/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=38.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000653047 [ 0.39 %]\n", - "Velocity : 0.00239387 [ 1.45 %]\n", - "Force : 0.0624457 [ 37.74 %]\n", - "Coefs : 0.0242266 [ 14.64 %]\n", - "Output : 0.00159326 [ 0.96 %]\n", - "Levels : 0.000315089 [ 0.19 %]\n", - "Report : 1.068e-06 [ 0.00 %]\n", - "Balance : 3.01e-07 [ 0.00 %]\n", - "Adjust : 0.073759 [ 44.58 %]\n", - "Total : 0.165442 [100.00 %]\n", + "Drift : 0.000495412 [ 0.37 %]\n", + "Velocity : 0.00151161 [ 1.13 %]\n", + "Force : 0.0492123 [ 36.84 %]\n", + "Coefs : 0.0201719 [ 15.10 %]\n", + "Output : 0.000765004 [ 0.57 %]\n", + "Levels : 0.000201896 [ 0.15 %]\n", + "Report : 1.063e-06 [ 0.00 %]\n", + "Balance : 4.44e-07 [ 0.00 %]\n", + "Adjust : 0.0611729 [ 45.80 %]\n", + "Total : 0.133573 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6264 574 215 52 37 \n", - "1 : 6253 588 218 49 34 \n", - "2 : 6223 604 236 52 27 \n", - "3 : 6212 621 228 52 29 \n", - "4 : 6217 626 224 37 38 \n", - "5 : 6253 601 215 46 27 \n", - "6 : 6249 607 209 47 30 \n", - "7 : 6200 615 231 62 34 \n", - "8 : 6254 604 203 49 32 \n", - "9 : 6252 590 214 50 36 \n", - "10 : 6225 596 227 57 37 \n", - "11 : 6229 597 231 51 34 \n", - "12 : 6227 595 221 64 35 \n", - "13 : 6219 616 256 42 21 \n", + "0 : 6104 680 236 60 62 \n", + "1 : 6145 647 236 63 51 \n", + "2 : 6129 646 227 80 60 \n", + "3 : 6219 609 204 56 54 \n", + "4 : 6153 633 235 66 55 \n", + "5 : 6153 649 225 72 43 \n", + "6 : 6140 670 229 44 59 \n", + "7 : 6144 658 224 62 54 \n", + "8 : 6169 624 227 73 49 \n", + "9 : 6170 660 215 51 46 \n", + "10 : 6134 655 232 68 53 \n", + "11 : 6112 699 222 59 50 \n", + "12 : 6147 674 218 54 49 \n", + "13 : 6201 633 225 44 51 \n", "\n", - "T : 87277 8434 3128 710 451 [100000]\n", + "T : 86120 9137 3155 852 736 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.3%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.2750e-02 sec\n", - "--- Collate = 1.0345e-04 sec\n", + "--- Coef/DT = 6.7%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 1.1918e-02 sec\n", + "--- Collate = 8.2193e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.215386e-05 < 6.250000e-03 [252]\n", - "--- Max DT=3.677749e-01 > 1.000000e-01 [69308]\n", + "--- Min DT=7.638876e-07 < 6.250000e-03 [424]\n", + "--- Max DT=3.543440e-01 > 1.000000e-01 [66296]\n", "----------------------------------------------------------------------\n", - " Component | low: 252/100000\n", - " Component | high: 69308/100000\n", + " Component | low: 424/100000\n", + " Component | high: 66296/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=38.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00122246 [ 0.75 %]\n", - "Velocity : 0.00333198 [ 2.04 %]\n", - "Force : 0.0602351 [ 36.84 %]\n", - "Coefs : 0.0242822 [ 14.85 %]\n", - "Output : 0.00172474 [ 1.05 %]\n", - "Levels : 0.000249551 [ 0.15 %]\n", - "Report : 1.089e-06 [ 0.00 %]\n", - "Balance : 3.51e-07 [ 0.00 %]\n", - "Adjust : 0.0724047 [ 44.28 %]\n", - "Total : 0.163509 [100.00 %]\n", + "Drift : 0.000518947 [ 0.39 %]\n", + "Velocity : 0.00141339 [ 1.05 %]\n", + "Force : 0.0479457 [ 35.72 %]\n", + "Coefs : 0.0201524 [ 15.01 %]\n", + "Output : 0.000711257 [ 0.53 %]\n", + "Levels : 0.000230305 [ 0.17 %]\n", + "Report : 6.65e-07 [ 0.00 %]\n", + "Balance : 4.83e-07 [ 0.00 %]\n", + "Adjust : 0.063198 [ 47.09 %]\n", + "Total : 0.134217 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6257 579 209 58 39 \n", - "1 : 6251 588 220 49 34 \n", - "2 : 6214 618 237 50 23 \n", - "3 : 6212 617 228 57 28 \n", - "4 : 6213 627 228 40 34 \n", - "5 : 6251 607 211 46 27 \n", - "6 : 6245 608 205 53 31 \n", - "7 : 6195 620 229 59 39 \n", - "8 : 6253 605 199 52 33 \n", - "9 : 6243 589 223 49 38 \n", - "10 : 6225 591 231 56 39 \n", - "11 : 6226 603 223 55 35 \n", - "12 : 6230 588 221 62 41 \n", - "13 : 6226 611 249 43 25 \n", + "0 : 6105 684 230 56 67 \n", + "1 : 6134 667 222 64 55 \n", + "2 : 6127 651 233 71 60 \n", + "3 : 6210 607 208 60 57 \n", + "4 : 6158 626 234 64 60 \n", + "5 : 6149 651 220 78 44 \n", + "6 : 6136 666 230 50 60 \n", + "7 : 6149 645 228 66 54 \n", + "8 : 6163 632 220 74 53 \n", + "9 : 6171 654 216 51 50 \n", + "10 : 6132 656 234 64 56 \n", + "11 : 6105 705 221 64 47 \n", + "12 : 6146 667 224 56 49 \n", + "13 : 6197 626 229 46 56 \n", "\n", - "T : 87241 8451 3113 729 466 [100000]\n", + "T : 86082 9137 3149 864 768 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.5%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.1609e-02 sec\n", - "--- Collate = 8.9508e-05 sec\n", + "--- Coef/DT = 3.9%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 1.0534e-02 sec\n", + "--- Collate = 7.8285e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.408656e-06 < 6.250000e-03 [252]\n", - "--- Max DT=3.669519e-01 > 1.000000e-01 [69283]\n", + "--- Min DT=5.909858e-05 < 6.250000e-03 [445]\n", + "--- Max DT=3.524021e-01 > 1.000000e-01 [66266]\n", "----------------------------------------------------------------------\n", - " Component | low: 252/100000\n", - " Component | high: 69283/100000\n", + " Component | low: 445/100000\n", + " Component | high: 66266/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=38.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0010514 [ 0.68 %]\n", - "Velocity : 0.00363195 [ 2.36 %]\n", - "Force : 0.0553045 [ 36.00 %]\n", - "Coefs : 0.0221262 [ 14.40 %]\n", - "Output : 0.00173603 [ 1.13 %]\n", - "Levels : 0.000249375 [ 0.16 %]\n", - "Report : 8.86e-07 [ 0.00 %]\n", - "Balance : 3.65e-07 [ 0.00 %]\n", - "Adjust : 0.0694525 [ 45.21 %]\n", - "Total : 0.153609 [100.00 %]\n", + "Drift : 0.000843254 [ 0.61 %]\n", + "Velocity : 0.00205787 [ 1.48 %]\n", + "Force : 0.0488444 [ 35.24 %]\n", + "Coefs : 0.0201997 [ 14.57 %]\n", + "Output : 0.000804354 [ 0.58 %]\n", + "Levels : 0.000174383 [ 0.13 %]\n", + "Report : 7.62e-07 [ 0.00 %]\n", + "Balance : 4.51e-07 [ 0.00 %]\n", + "Adjust : 0.0656275 [ 47.35 %]\n", + "Total : 0.138599 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6255 586 207 59 35 \n", - "1 : 6252 587 225 45 33 \n", - "2 : 6211 618 236 52 25 \n", - "3 : 6214 611 232 56 29 \n", - "4 : 6207 631 229 46 29 \n", - "5 : 6246 611 210 48 27 \n", - "6 : 6248 604 205 53 32 \n", - "7 : 6191 615 233 64 39 \n", - "8 : 6245 613 206 41 37 \n", - "9 : 6246 586 225 51 34 \n", - "10 : 6228 583 236 58 37 \n", - "11 : 6223 605 224 59 31 \n", - "12 : 6226 592 227 54 43 \n", - "13 : 6225 614 248 40 27 \n", + "0 : 6098 690 234 49 71 \n", + "1 : 6138 663 218 60 63 \n", + "2 : 6127 644 230 74 67 \n", + "3 : 6214 601 203 64 60 \n", + "4 : 6166 614 236 64 62 \n", + "5 : 6150 644 229 68 51 \n", + "6 : 6125 671 239 48 59 \n", + "7 : 6137 650 234 67 54 \n", + "8 : 6165 627 227 70 53 \n", + "9 : 6161 662 211 61 47 \n", + "10 : 6121 663 237 63 58 \n", + "11 : 6099 704 226 66 47 \n", + "12 : 6145 661 231 56 49 \n", + "13 : 6194 627 233 52 48 \n", "\n", - "T : 87217 8456 3143 726 458 [100000]\n", + "T : 86040 9121 3188 862 789 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.9%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.2152e-02 sec\n", - "--- Collate = 7.5237e-05 sec\n", + "--- Coef/DT = 3.9%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 1.0365e-02 sec\n", + "--- Collate = 7.2380e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.363923e-07 < 6.250000e-03 [251]\n", - "--- Max DT=3.660935e-01 > 1.000000e-01 [69273]\n", + "--- Min DT=1.169119e-05 < 6.250000e-03 [469]\n", + "--- Max DT=3.503973e-01 > 1.000000e-01 [66277]\n", "----------------------------------------------------------------------\n", - " Component | low: 251/100000\n", - " Component | high: 69273/100000\n", + " Component | low: 469/100000\n", + " Component | high: 66277/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=38.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000992701 [ 0.66 %]\n", - "Velocity : 0.00337842 [ 2.23 %]\n", - "Force : 0.054758 [ 36.16 %]\n", - "Coefs : 0.0215007 [ 14.20 %]\n", - "Output : 0.0017001 [ 1.12 %]\n", - "Levels : 0.000278809 [ 0.18 %]\n", - "Report : 9.74e-07 [ 0.00 %]\n", - "Balance : 4.21e-07 [ 0.00 %]\n", - "Adjust : 0.068786 [ 45.42 %]\n", - "Total : 0.151452 [100.00 %]\n", + "Drift : 0.000489393 [ 0.36 %]\n", + "Velocity : 0.00149768 [ 1.11 %]\n", + "Force : 0.0484562 [ 35.90 %]\n", + "Coefs : 0.0205192 [ 15.20 %]\n", + "Output : 0.000680322 [ 0.50 %]\n", + "Levels : 0.000162324 [ 0.12 %]\n", + "Report : 8.23e-07 [ 0.00 %]\n", + "Balance : 5.48e-07 [ 0.00 %]\n", + "Adjust : 0.0631291 [ 46.77 %]\n", + "Total : 0.13498 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6255 586 203 64 34 \n", - "1 : 6252 578 234 50 28 \n", - "2 : 6205 618 244 44 31 \n", - "3 : 6209 616 232 54 31 \n", - "4 : 6208 624 236 47 27 \n", - "5 : 6247 609 209 51 26 \n", - "6 : 6245 616 194 53 34 \n", - "7 : 6196 611 221 73 41 \n", - "8 : 6237 621 201 47 36 \n", - "9 : 6245 587 220 54 36 \n", - "10 : 6224 585 240 61 32 \n", - "11 : 6226 604 224 55 33 \n", - "12 : 6224 596 217 59 46 \n", - "13 : 6224 621 241 44 24 \n", + "0 : 6093 689 236 59 65 \n", + "1 : 6133 660 227 62 60 \n", + "2 : 6132 633 235 75 67 \n", + "3 : 6204 605 208 61 64 \n", + "4 : 6168 616 229 65 64 \n", + "5 : 6141 651 225 70 55 \n", + "6 : 6123 658 252 53 56 \n", + "7 : 6127 655 240 69 51 \n", + "8 : 6157 626 238 66 55 \n", + "9 : 6163 656 215 52 56 \n", + "10 : 6119 658 240 67 58 \n", + "11 : 6088 714 228 64 48 \n", + "12 : 6143 653 243 46 57 \n", + "13 : 6194 627 229 55 49 \n", "\n", - "T : 87197 8472 3116 756 459 [100000]\n", + "T : 85985 9101 3245 864 805 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.0%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.2141e-02 sec\n", - "--- Collate = 6.5728e-05 sec\n", + "--- Coef/DT = 3.8%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 1.0435e-02 sec\n", + "--- Collate = 6.7118e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.364324e-05 < 6.250000e-03 [262]\n", - "--- Max DT=3.652358e-01 > 1.000000e-01 [69274]\n", + "--- Min DT=2.540988e-07 < 6.250000e-03 [483]\n", + "--- Max DT=3.483080e-01 > 1.000000e-01 [66276]\n", "----------------------------------------------------------------------\n", - " Component | low: 262/100000\n", - " Component | high: 69274/100000\n", + " Component | low: 483/100000\n", + " Component | high: 66276/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=39] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000986501 [ 0.57 %]\n", - "Velocity : 0.00389609 [ 2.23 %]\n", - "Force : 0.0603541 [ 34.57 %]\n", - "Coefs : 0.0238901 [ 13.69 %]\n", - "Output : 0.00840818 [ 4.82 %]\n", - "Levels : 0.00032528 [ 0.19 %]\n", - "Report : 1.477e-06 [ 0.00 %]\n", - "Balance : 1.009e-06 [ 0.00 %]\n", - "Adjust : 0.0766498 [ 43.91 %]\n", - "Total : 0.174566 [100.00 %]\n", + "Drift : 0.000482821 [ 0.35 %]\n", + "Velocity : 0.00133215 [ 0.97 %]\n", + "Force : 0.0481065 [ 34.88 %]\n", + "Coefs : 0.0204623 [ 14.83 %]\n", + "Output : 0.0056156 [ 4.07 %]\n", + "Levels : 0.000196122 [ 0.14 %]\n", + "Report : 1.271e-06 [ 0.00 %]\n", + "Balance : 7.17e-07 [ 0.00 %]\n", + "Adjust : 0.061696 [ 44.73 %]\n", + "Total : 0.137934 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6256 594 198 60 34 \n", - "1 : 6256 573 227 57 29 \n", - "2 : 6210 611 246 49 26 \n", - "3 : 6210 617 230 53 32 \n", - "4 : 6206 626 238 44 28 \n", - "5 : 6244 613 212 47 26 \n", - "6 : 6241 619 189 60 33 \n", - "7 : 6199 612 226 63 42 \n", - "8 : 6233 624 204 48 33 \n", - "9 : 6248 580 220 53 41 \n", - "10 : 6225 586 234 63 34 \n", - "11 : 6226 604 226 51 35 \n", - "12 : 6220 604 216 53 49 \n", - "13 : 6228 626 228 48 24 \n", + "0 : 6095 688 230 64 65 \n", + "1 : 6130 657 234 61 60 \n", + "2 : 6122 637 239 70 74 \n", + "3 : 6200 606 211 55 70 \n", + "4 : 6170 603 243 57 69 \n", + "5 : 6137 646 231 67 61 \n", + "6 : 6125 652 251 54 60 \n", + "7 : 6131 649 242 68 52 \n", + "8 : 6151 636 229 71 55 \n", + "9 : 6154 663 220 50 55 \n", + "10 : 6114 656 247 62 63 \n", + "11 : 6084 706 230 66 56 \n", + "12 : 6140 650 251 52 49 \n", + "13 : 6190 637 216 63 48 \n", "\n", - "T : 87202 8489 3094 749 466 [100000]\n", + "T : 85943 9086 3274 860 837 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.3%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.0809e-02 sec\n", - "--- Collate = 7.3849e-05 sec\n", + "--- Coef/DT = 4.0%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 1.0325e-02 sec\n", + "--- Collate = 7.8388e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.547625e-06 < 6.250000e-03 [264]\n", - "--- Max DT=3.642725e-01 > 1.000000e-01 [69291]\n", + "--- Min DT=1.334654e-06 < 6.250000e-03 [497]\n", + "--- Max DT=3.464209e-01 > 1.000000e-01 [66249]\n", "----------------------------------------------------------------------\n", - " Component | low: 264/100000\n", - " Component | high: 69291/100000\n", + " Component | low: 497/100000\n", + " Component | high: 66249/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=39.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000926566 [ 0.58 %]\n", - "Velocity : 0.00327928 [ 2.05 %]\n", - "Force : 0.06024 [ 37.71 %]\n", - "Coefs : 0.0233478 [ 14.62 %]\n", - "Output : 0.00146421 [ 0.92 %]\n", - "Levels : 0.000270909 [ 0.17 %]\n", - "Report : 6.25e-07 [ 0.00 %]\n", - "Balance : 3.43e-07 [ 0.00 %]\n", - "Adjust : 0.0701506 [ 43.92 %]\n", - "Total : 0.159732 [100.00 %]\n", + "Drift : 0.000626309 [ 0.46 %]\n", + "Velocity : 0.00141394 [ 1.05 %]\n", + "Force : 0.0488301 [ 36.14 %]\n", + "Coefs : 0.0205549 [ 15.21 %]\n", + "Output : 0.000705199 [ 0.52 %]\n", + "Levels : 0.000167724 [ 0.12 %]\n", + "Report : 6.82e-07 [ 0.00 %]\n", + "Balance : 3.79e-07 [ 0.00 %]\n", + "Adjust : 0.0627673 [ 46.46 %]\n", + "Total : 0.135101 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6252 595 202 57 36 \n", - "1 : 6251 574 236 48 33 \n", - "2 : 6210 613 242 52 25 \n", - "3 : 6209 615 232 54 32 \n", - "4 : 6201 633 237 44 27 \n", - "5 : 6242 612 206 55 27 \n", - "6 : 6236 621 195 53 37 \n", - "7 : 6205 596 234 64 43 \n", - "8 : 6228 624 207 50 33 \n", - "9 : 6248 582 223 46 43 \n", - "10 : 6223 591 233 58 37 \n", - "11 : 6220 613 224 51 34 \n", - "12 : 6216 606 214 62 44 \n", - "13 : 6229 617 230 54 24 \n", + "0 : 6107 671 236 63 65 \n", + "1 : 6130 654 231 68 59 \n", + "2 : 6117 646 239 60 80 \n", + "3 : 6200 596 224 56 66 \n", + "4 : 6168 605 238 66 65 \n", + "5 : 6126 658 230 68 60 \n", + "6 : 6115 660 248 61 58 \n", + "7 : 6127 645 248 72 50 \n", + "8 : 6143 643 231 70 55 \n", + "9 : 6148 663 222 52 57 \n", + "10 : 6107 659 245 71 60 \n", + "11 : 6078 699 242 69 54 \n", + "12 : 6142 650 246 54 50 \n", + "13 : 6184 634 222 65 49 \n", "\n", - "T : 87170 8492 3115 748 475 [100000]\n", + "T : 85892 9083 3302 895 828 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.8%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.2891e-02 sec\n", - "--- Collate = 6.7155e-05 sec\n", + "--- Coef/DT = 4.0%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 1.0456e-02 sec\n", + "--- Collate = 5.9732e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.019526e-07 < 6.250000e-03 [267]\n", - "--- Max DT=3.635427e-01 > 1.000000e-01 [69268]\n", + "--- Min DT=2.681777e-06 < 6.250000e-03 [498]\n", + "--- Max DT=3.444295e-01 > 1.000000e-01 [66257]\n", "----------------------------------------------------------------------\n", - " Component | low: 267/100000\n", - " Component | high: 69268/100000\n", + " Component | low: 498/100000\n", + " Component | high: 66257/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=39.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000966783 [ 0.60 %]\n", - "Velocity : 0.00333823 [ 2.06 %]\n", - "Force : 0.0600903 [ 37.01 %]\n", - "Coefs : 0.0218793 [ 13.47 %]\n", - "Output : 0.00158912 [ 0.98 %]\n", - "Levels : 0.000277074 [ 0.17 %]\n", - "Report : 6.83e-07 [ 0.00 %]\n", - "Balance : 3.94e-07 [ 0.00 %]\n", - "Adjust : 0.0741885 [ 45.69 %]\n", - "Total : 0.162383 [100.00 %]\n", + "Drift : 0.000470864 [ 0.35 %]\n", + "Velocity : 0.00139936 [ 1.03 %]\n", + "Force : 0.0483624 [ 35.76 %]\n", + "Coefs : 0.0205842 [ 15.22 %]\n", + "Output : 0.000672255 [ 0.50 %]\n", + "Levels : 0.000129932 [ 0.10 %]\n", + "Report : 6.86e-07 [ 0.00 %]\n", + "Balance : 8.29e-07 [ 0.00 %]\n", + "Adjust : 0.0636028 [ 47.02 %]\n", + "Total : 0.135259 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6256 593 209 54 30 \n", - "1 : 6250 585 220 52 35 \n", - "2 : 6214 609 238 55 26 \n", - "3 : 6205 621 230 55 31 \n", - "4 : 6198 640 229 51 24 \n", - "5 : 6242 608 214 52 26 \n", - "6 : 6235 620 201 51 35 \n", - "7 : 6204 595 237 62 44 \n", - "8 : 6225 627 209 51 30 \n", - "9 : 6246 586 216 50 44 \n", - "10 : 6224 588 240 53 37 \n", - "11 : 6214 610 232 50 36 \n", - "12 : 6214 608 214 65 41 \n", - "13 : 6231 612 232 51 28 \n", + "0 : 6109 664 241 65 63 \n", + "1 : 6123 663 228 73 55 \n", + "2 : 6108 653 239 63 79 \n", + "3 : 6193 600 218 71 60 \n", + "4 : 6171 593 245 75 58 \n", + "5 : 6129 648 240 67 58 \n", + "6 : 6112 654 252 70 54 \n", + "7 : 6127 646 248 64 57 \n", + "8 : 6137 641 237 71 56 \n", + "9 : 6151 653 234 43 61 \n", + "10 : 6113 642 254 71 62 \n", + "11 : 6075 695 246 71 55 \n", + "12 : 6137 648 247 60 50 \n", + "13 : 6181 635 219 75 44 \n", "\n", - "T : 87158 8502 3121 752 467 [100000]\n", + "T : 85866 9035 3348 939 812 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.6%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.2755e-02 sec\n", - "--- Collate = 7.1485e-05 sec\n", + "--- Coef/DT = 3.7%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 1.0351e-02 sec\n", + "--- Collate = 6.9078e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.425820e-05 < 6.250000e-03 [263]\n", - "--- Max DT=3.625934e-01 > 1.000000e-01 [69252]\n", + "--- Min DT=1.774636e-07 < 6.250000e-03 [504]\n", + "--- Max DT=3.427325e-01 > 1.000000e-01 [66238]\n", "----------------------------------------------------------------------\n", - " Component | low: 263/100000\n", - " Component | high: 69252/100000\n", + " Component | low: 504/100000\n", + " Component | high: 66238/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=39.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00107597 [ 0.65 %]\n", - "Velocity : 0.00340064 [ 2.07 %]\n", - "Force : 0.0606676 [ 36.91 %]\n", - "Coefs : 0.0246309 [ 14.98 %]\n", - "Output : 0.00158387 [ 0.96 %]\n", - "Levels : 0.00025228 [ 0.15 %]\n", - "Report : 9.17e-07 [ 0.00 %]\n", - "Balance : 3.78e-07 [ 0.00 %]\n", - "Adjust : 0.0727198 [ 44.24 %]\n", - "Total : 0.164388 [100.00 %]\n", + "Drift : 0.000513257 [ 0.38 %]\n", + "Velocity : 0.00138778 [ 1.03 %]\n", + "Force : 0.0485857 [ 36.02 %]\n", + "Coefs : 0.0204791 [ 15.18 %]\n", + "Output : 0.000762649 [ 0.57 %]\n", + "Levels : 0.00016017 [ 0.12 %]\n", + "Report : 1.064e-06 [ 0.00 %]\n", + "Balance : 3.34e-07 [ 0.00 %]\n", + "Adjust : 0.0629471 [ 46.67 %]\n", + "Total : 0.134877 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6252 597 211 50 32 \n", - "1 : 6250 588 215 51 38 \n", - "2 : 6219 606 237 56 24 \n", - "3 : 6217 609 227 55 34 \n", - "4 : 6194 641 224 60 23 \n", - "5 : 6242 605 222 48 25 \n", - "6 : 6230 629 188 61 34 \n", - "7 : 6208 590 240 57 47 \n", - "8 : 6230 627 207 50 28 \n", - "9 : 6239 588 215 57 43 \n", - "10 : 6220 583 255 46 38 \n", - "11 : 6211 610 232 53 36 \n", - "12 : 6213 608 218 67 36 \n", - "13 : 6227 616 227 50 34 \n", + "0 : 6112 660 239 63 68 \n", + "1 : 6112 661 238 73 58 \n", + "2 : 6105 642 244 71 80 \n", + "3 : 6195 589 224 74 60 \n", + "4 : 6172 582 257 68 63 \n", + "5 : 6128 648 235 65 66 \n", + "6 : 6106 661 257 69 49 \n", + "7 : 6129 641 245 68 59 \n", + "8 : 6149 625 234 72 62 \n", + "9 : 6155 638 242 49 58 \n", + "10 : 6116 643 248 70 65 \n", + "11 : 6087 677 251 66 61 \n", + "12 : 6137 648 243 63 51 \n", + "13 : 6183 618 231 73 49 \n", "\n", - "T : 87152 8497 3118 761 472 [100000]\n", + "T : 85886 8933 3388 944 849 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.0%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.3651e-02 sec\n", - "--- Collate = 7.7868e-05 sec\n", + "--- Coef/DT = 3.8%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 1.0408e-02 sec\n", + "--- Collate = 9.2229e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.295656e-05 < 6.250000e-03 [264]\n", - "--- Max DT=3.617022e-01 > 1.000000e-01 [69260]\n", + "--- Min DT=3.013650e-06 < 6.250000e-03 [498]\n", + "--- Max DT=3.408506e-01 > 1.000000e-01 [66252]\n", "----------------------------------------------------------------------\n", - " Component | low: 264/100000\n", - " Component | high: 69260/100000\n", + " Component | low: 498/100000\n", + " Component | high: 66252/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=39.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00105313 [ 0.63 %]\n", - "Velocity : 0.00311711 [ 1.85 %]\n", - "Force : 0.0627599 [ 37.26 %]\n", - "Coefs : 0.0256101 [ 15.20 %]\n", - "Output : 0.00163665 [ 0.97 %]\n", - "Levels : 0.000302648 [ 0.18 %]\n", - "Report : 9.12e-07 [ 0.00 %]\n", - "Balance : 3.13e-07 [ 0.00 %]\n", - "Adjust : 0.0739095 [ 43.88 %]\n", - "Total : 0.168446 [100.00 %]\n", + "Drift : 0.000555734 [ 0.41 %]\n", + "Velocity : 0.00135862 [ 1.01 %]\n", + "Force : 0.0482554 [ 35.73 %]\n", + "Coefs : 0.0207168 [ 15.34 %]\n", + "Output : 0.000692395 [ 0.51 %]\n", + "Levels : 0.000216128 [ 0.16 %]\n", + "Report : 1.059e-06 [ 0.00 %]\n", + "Balance : 4.82e-07 [ 0.00 %]\n", + "Adjust : 0.063218 [ 46.81 %]\n", + "Total : 0.135052 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6249 601 204 54 34 \n", - "1 : 6242 595 221 50 34 \n", - "2 : 6213 609 236 59 25 \n", - "3 : 6216 609 231 54 32 \n", - "4 : 6193 645 223 57 24 \n", - "5 : 6248 604 213 48 29 \n", - "6 : 6233 628 192 51 38 \n", - "7 : 6214 580 242 62 44 \n", - "8 : 6222 634 212 48 26 \n", - "9 : 6238 591 213 61 39 \n", - "10 : 6225 579 255 50 33 \n", - "11 : 6219 607 220 63 33 \n", - "12 : 6218 598 223 67 36 \n", - "13 : 6226 616 227 46 39 \n", + "0 : 6110 659 240 65 68 \n", + "1 : 6110 660 246 71 55 \n", + "2 : 6098 644 251 66 83 \n", + "3 : 6185 605 212 72 68 \n", + "4 : 6178 569 263 65 67 \n", + "5 : 6128 642 239 65 68 \n", + "6 : 6098 667 253 78 46 \n", + "7 : 6126 636 246 74 60 \n", + "8 : 6146 620 243 71 62 \n", + "9 : 6147 644 237 54 60 \n", + "10 : 6103 654 248 73 64 \n", + "11 : 6077 684 253 65 63 \n", + "12 : 6131 647 247 64 53 \n", + "13 : 6184 610 235 70 55 \n", "\n", - "T : 87156 8496 3112 770 466 [100000]\n", + "T : 85821 8941 3413 953 872 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.9%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.2623e-02 sec\n", - "--- Collate = 1.6515e-04 sec\n", + "--- Coef/DT = 3.9%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 1.0058e-02 sec\n", + "--- Collate = 7.2595e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.554025e-06 < 6.250000e-03 [252]\n", - "--- Max DT=3.607208e-01 > 1.000000e-01 [69276]\n", + "--- Min DT=1.890601e-06 < 6.250000e-03 [513]\n", + "--- Max DT=3.390769e-01 > 1.000000e-01 [66238]\n", "----------------------------------------------------------------------\n", - " Component | low: 252/100000\n", - " Component | high: 69276/100000\n", + " Component | low: 513/100000\n", + " Component | high: 66238/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=39.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00123545 [ 0.72 %]\n", - "Velocity : 0.00293051 [ 1.70 %]\n", - "Force : 0.0662664 [ 38.38 %]\n", - "Coefs : 0.0252767 [ 14.64 %]\n", - "Output : 0.00158914 [ 0.92 %]\n", - "Levels : 0.000221079 [ 0.13 %]\n", - "Report : 5.52e-07 [ 0.00 %]\n", - "Balance : 3.7e-07 [ 0.00 %]\n", - "Adjust : 0.0750815 [ 43.49 %]\n", - "Total : 0.172658 [100.00 %]\n", + "Drift : 0.000498882 [ 0.38 %]\n", + "Velocity : 0.00156573 [ 1.18 %]\n", + "Force : 0.04764 [ 35.92 %]\n", + "Coefs : 0.0208645 [ 15.73 %]\n", + "Output : 0.00062893 [ 0.47 %]\n", + "Levels : 0.000222403 [ 0.17 %]\n", + "Report : 7.98e-07 [ 0.00 %]\n", + "Balance : 5.01e-07 [ 0.00 %]\n", + "Adjust : 0.061179 [ 46.12 %]\n", + "Total : 0.132638 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6244 602 210 53 33 \n", - "1 : 6241 600 222 44 35 \n", - "2 : 6210 615 237 58 22 \n", - "3 : 6217 613 226 55 31 \n", - "4 : 6192 646 222 56 26 \n", - "5 : 6238 610 218 43 33 \n", - "6 : 6226 630 198 52 36 \n", - "7 : 6206 582 248 61 45 \n", - "8 : 6227 618 218 50 29 \n", - "9 : 6232 595 215 64 36 \n", - "10 : 6214 593 243 57 35 \n", - "11 : 6217 603 223 65 34 \n", - "12 : 6220 596 222 69 35 \n", - "13 : 6216 635 219 42 42 \n", + "0 : 6117 648 241 72 64 \n", + "1 : 6110 657 253 66 56 \n", + "2 : 6095 641 255 73 78 \n", + "3 : 6177 609 212 78 66 \n", + "4 : 6180 572 255 66 69 \n", + "5 : 6123 644 242 64 69 \n", + "6 : 6091 673 255 74 49 \n", + "7 : 6125 636 245 72 64 \n", + "8 : 6140 628 231 82 61 \n", + "9 : 6135 650 237 63 57 \n", + "10 : 6100 652 253 76 61 \n", + "11 : 6074 678 257 70 63 \n", + "12 : 6125 655 241 62 59 \n", + "13 : 6189 601 237 64 63 \n", "\n", - "T : 87100 8538 3121 769 472 [100000]\n", + "T : 85781 8944 3414 982 879 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.5%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.2373e-02 sec\n", - "--- Collate = 8.3690e-05 sec\n", + "--- Coef/DT = 3.8%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 1.0296e-02 sec\n", + "--- Collate = 7.9850e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.430738e-05 < 6.250000e-03 [245]\n", - "--- Max DT=3.597822e-01 > 1.000000e-01 [69249]\n", + "--- Min DT=7.115494e-06 < 6.250000e-03 [540]\n", + "--- Max DT=3.372347e-01 > 1.000000e-01 [66215]\n", "----------------------------------------------------------------------\n", - " Component | low: 245/100000\n", - " Component | high: 69249/100000\n", + " Component | low: 540/100000\n", + " Component | high: 66215/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=39.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000673894 [ 0.42 %]\n", - "Velocity : 0.00429964 [ 2.69 %]\n", - "Force : 0.0567362 [ 35.51 %]\n", - "Coefs : 0.0230269 [ 14.41 %]\n", - "Output : 0.00160135 [ 1.00 %]\n", - "Levels : 0.000268153 [ 0.17 %]\n", - "Report : 6.78e-07 [ 0.00 %]\n", - "Balance : 2.2838e-05 [ 0.01 %]\n", - "Adjust : 0.0730929 [ 45.75 %]\n", - "Total : 0.15978 [100.00 %]\n", + "Drift : 0.000663431 [ 0.51 %]\n", + "Velocity : 0.00194759 [ 1.49 %]\n", + "Force : 0.0465964 [ 35.67 %]\n", + "Coefs : 0.019635 [ 15.03 %]\n", + "Output : 0.00097879 [ 0.75 %]\n", + "Levels : 0.000229694 [ 0.18 %]\n", + "Report : 1.166e-06 [ 0.00 %]\n", + "Balance : 3.6e-07 [ 0.00 %]\n", + "Adjust : 0.0605152 [ 46.33 %]\n", + "Total : 0.130616 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6239 604 209 56 34 \n", - "1 : 6238 600 224 44 36 \n", - "2 : 6216 622 220 53 31 \n", - "3 : 6215 613 228 54 32 \n", - "4 : 6189 648 223 50 32 \n", - "5 : 6244 603 215 47 33 \n", - "6 : 6220 637 197 47 41 \n", - "7 : 6202 585 244 66 45 \n", - "8 : 6227 618 219 48 30 \n", - "9 : 6227 602 207 68 38 \n", - "10 : 6218 597 232 56 39 \n", - "11 : 6219 601 222 67 33 \n", - "12 : 6215 598 217 79 33 \n", - "13 : 6213 638 219 46 38 \n", + "0 : 6116 637 254 65 70 \n", + "1 : 6103 658 254 68 59 \n", + "2 : 6089 641 256 80 76 \n", + "3 : 6171 614 211 76 70 \n", + "4 : 6175 572 258 70 67 \n", + "5 : 6131 636 235 70 70 \n", + "6 : 6094 659 264 76 49 \n", + "7 : 6121 638 243 74 66 \n", + "8 : 6139 614 248 79 62 \n", + "9 : 6131 646 241 68 56 \n", + "10 : 6097 645 256 79 65 \n", + "11 : 6080 663 263 69 67 \n", + "12 : 6113 664 235 69 61 \n", + "13 : 6181 609 232 65 67 \n", "\n", - "T : 87082 8566 3076 781 495 [100000]\n", + "T : 85741 8896 3450 1008 905 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.7%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.1629e-02 sec\n", - "--- Collate = 7.3102e-05 sec\n", + "--- Coef/DT = 3.7%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 1.0285e-02 sec\n", + "--- Collate = 8.0427e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.245059e-05 < 6.250000e-03 [229]\n", - "--- Max DT=3.589821e-01 > 1.000000e-01 [69252]\n", + "--- Min DT=6.471491e-07 < 6.250000e-03 [557]\n", + "--- Max DT=3.351909e-01 > 1.000000e-01 [66201]\n", "----------------------------------------------------------------------\n", - " Component | low: 229/100000\n", - " Component | high: 69252/100000\n", + " Component | low: 557/100000\n", + " Component | high: 66201/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=39.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000993097 [ 0.59 %]\n", - "Velocity : 0.00369128 [ 2.17 %]\n", - "Force : 0.0643147 [ 37.90 %]\n", - "Coefs : 0.0231675 [ 13.65 %]\n", - "Output : 0.00186324 [ 1.10 %]\n", - "Levels : 0.000264295 [ 0.16 %]\n", - "Report : 8.85e-07 [ 0.00 %]\n", - "Balance : 3.45e-07 [ 0.00 %]\n", - "Adjust : 0.0753659 [ 44.41 %]\n", - "Total : 0.169717 [100.00 %]\n", + "Drift : 0.000669918 [ 0.51 %]\n", + "Velocity : 0.0020687 [ 1.57 %]\n", + "Force : 0.0471844 [ 35.78 %]\n", + "Coefs : 0.0196667 [ 14.91 %]\n", + "Output : 0.00105609 [ 0.80 %]\n", + "Levels : 0.000241709 [ 0.18 %]\n", + "Report : 1.024e-06 [ 0.00 %]\n", + "Balance : 4.53e-07 [ 0.00 %]\n", + "Adjust : 0.0609395 [ 46.21 %]\n", + "Total : 0.131884 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6241 595 217 54 35 \n", - "1 : 6236 604 220 45 37 \n", - "2 : 6220 621 217 47 37 \n", - "3 : 6216 612 225 56 33 \n", - "4 : 6190 650 219 47 36 \n", - "5 : 6242 608 212 48 32 \n", - "6 : 6218 641 198 48 37 \n", - "7 : 6200 579 252 68 43 \n", - "8 : 6219 630 214 51 28 \n", - "9 : 6227 593 217 65 40 \n", - "10 : 6220 595 231 61 35 \n", - "11 : 6212 603 229 70 28 \n", - "12 : 6208 611 219 72 32 \n", - "13 : 6205 646 220 45 38 \n", + "0 : 6107 641 252 73 69 \n", + "1 : 6114 644 255 67 62 \n", + "2 : 6092 634 256 84 76 \n", + "3 : 6164 617 218 71 72 \n", + "4 : 6167 576 257 74 68 \n", + "5 : 6134 626 243 72 67 \n", + "6 : 6087 672 257 72 54 \n", + "7 : 6125 643 229 83 62 \n", + "8 : 6138 618 248 81 57 \n", + "9 : 6126 651 233 71 61 \n", + "10 : 6095 642 260 79 66 \n", + "11 : 6077 660 263 73 69 \n", + "12 : 6109 662 236 72 63 \n", + "13 : 6173 614 226 74 67 \n", "\n", - "T : 87054 8588 3090 777 491 [100000]\n", + "T : 85708 8900 3433 1046 913 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.0%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.0593e-02 sec\n", - "--- Collate = 8.4014e-05 sec\n", + "--- Coef/DT = 3.8%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 1.0036e-02 sec\n", + "--- Collate = 8.4799e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.612881e-05 < 6.250000e-03 [226]\n", - "--- Max DT=3.581529e-01 > 1.000000e-01 [69244]\n", + "--- Min DT=1.854982e-06 < 6.250000e-03 [555]\n", + "--- Max DT=3.331372e-01 > 1.000000e-01 [66214]\n", "----------------------------------------------------------------------\n", - " Component | low: 226/100000\n", - " Component | high: 69244/100000\n", + " Component | low: 555/100000\n", + " Component | high: 66214/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=39.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00102934 [ 0.64 %]\n", - "Velocity : 0.00344042 [ 2.13 %]\n", - "Force : 0.0615358 [ 38.18 %]\n", - "Coefs : 0.0233037 [ 14.46 %]\n", - "Output : 0.00182207 [ 1.13 %]\n", - "Levels : 0.000435298 [ 0.27 %]\n", - "Report : 9.48e-07 [ 0.00 %]\n", - "Balance : 3.68e-07 [ 0.00 %]\n", - "Adjust : 0.0695375 [ 43.15 %]\n", - "Total : 0.161158 [100.00 %]\n", + "Drift : 0.000574189 [ 0.44 %]\n", + "Velocity : 0.00211298 [ 1.60 %]\n", + "Force : 0.0469915 [ 35.69 %]\n", + "Coefs : 0.0199156 [ 15.13 %]\n", + "Output : 0.00107845 [ 0.82 %]\n", + "Levels : 0.000219338 [ 0.17 %]\n", + "Report : 1.144e-06 [ 0.00 %]\n", + "Balance : 6.23e-07 [ 0.00 %]\n", + "Adjust : 0.0607169 [ 46.12 %]\n", + "Total : 0.131661 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6244 597 203 59 39 \n", - "1 : 6234 603 228 40 37 \n", - "2 : 6211 629 214 48 40 \n", - "3 : 6211 628 214 56 33 \n", - "4 : 6194 644 222 41 41 \n", - "5 : 6240 604 216 49 33 \n", - "6 : 6225 626 206 49 36 \n", - "7 : 6200 582 251 62 47 \n", - "8 : 6223 619 224 49 27 \n", - "9 : 6225 590 221 68 38 \n", - "10 : 6213 600 233 54 42 \n", - "11 : 6211 605 229 68 29 \n", - "12 : 6202 611 220 77 32 \n", - "13 : 6203 647 220 47 37 \n", + "0 : 6106 635 258 72 71 \n", + "1 : 6121 631 261 65 64 \n", + "2 : 6091 630 245 107 69 \n", + "3 : 6164 606 237 64 71 \n", + "4 : 6155 584 256 80 67 \n", + "5 : 6134 622 242 77 67 \n", + "6 : 6082 671 262 70 57 \n", + "7 : 6127 641 232 75 67 \n", + "8 : 6143 605 251 88 55 \n", + "9 : 6129 642 239 70 62 \n", + "10 : 6099 627 274 78 64 \n", + "11 : 6067 668 264 71 72 \n", + "12 : 6102 657 241 77 65 \n", + "13 : 6175 604 232 84 59 \n", "\n", - "T : 87036 8585 3101 767 511 [100000]\n", + "T : 85695 8823 3494 1078 910 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.1%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.2308e-02 sec\n", - "--- Collate = 6.7782e-05 sec\n", + "--- Coef/DT = 4.4%\n", + "--- Adj/Tot = 2.1%\n", + "--- Update = 1.0052e-02 sec\n", + "--- Collate = 8.6754e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.581409e-05 < 6.250000e-03 [244]\n", - "--- Max DT=3.572628e-01 > 1.000000e-01 [69233]\n", + "--- Min DT=9.715491e-06 < 6.250000e-03 [584]\n", + "--- Max DT=3.310145e-01 > 1.000000e-01 [66199]\n", "----------------------------------------------------------------------\n", - " Component | low: 244/100000\n", - " Component | high: 69233/100000\n", + " Component | low: 584/100000\n", + " Component | high: 66199/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=39.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00129785 [ 0.75 %]\n", - "Velocity : 0.00348708 [ 2.02 %]\n", - "Force : 0.0671629 [ 38.97 %]\n", - "Coefs : 0.0228588 [ 13.26 %]\n", - "Output : 0.0043225 [ 2.51 %]\n", - "Levels : 0.000289017 [ 0.17 %]\n", - "Report : 7.98e-07 [ 0.00 %]\n", - "Balance : 4.16e-07 [ 0.00 %]\n", - "Adjust : 0.0728617 [ 42.28 %]\n", - "Total : 0.172337 [100.00 %]\n", + "Drift : 0.000676744 [ 0.51 %]\n", + "Velocity : 0.00220892 [ 1.68 %]\n", + "Force : 0.0466526 [ 35.45 %]\n", + "Coefs : 0.0197521 [ 15.01 %]\n", + "Output : 0.00106687 [ 0.81 %]\n", + "Levels : 0.000277759 [ 0.21 %]\n", + "Report : 1.345e-06 [ 0.00 %]\n", + "Balance : 7.34e-07 [ 0.00 %]\n", + "Adjust : 0.0608976 [ 46.28 %]\n", + "Total : 0.131585 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6248 595 203 56 40 \n", - "1 : 6235 591 236 45 35 \n", - "2 : 6208 629 214 50 41 \n", - "3 : 6214 624 212 58 34 \n", - "4 : 6190 647 221 47 37 \n", - "5 : 6239 606 212 52 33 \n", - "6 : 6223 622 207 53 37 \n", - "7 : 6191 592 248 62 49 \n", - "8 : 6229 610 232 42 29 \n", - "9 : 6222 590 224 67 39 \n", - "10 : 6212 603 235 44 48 \n", - "11 : 6214 606 223 67 32 \n", - "12 : 6195 620 228 65 34 \n", - "13 : 6200 646 226 43 39 \n", + "0 : 6104 629 270 67 72 \n", + "1 : 6118 622 269 64 69 \n", + "2 : 6091 636 243 100 72 \n", + "3 : 6159 606 239 64 74 \n", + "4 : 6152 583 259 79 69 \n", + "5 : 6129 623 244 80 66 \n", + "6 : 6073 668 270 74 57 \n", + "7 : 6124 635 241 73 69 \n", + "8 : 6139 607 254 93 49 \n", + "9 : 6136 631 242 71 62 \n", + "10 : 6101 624 278 72 67 \n", + "11 : 6073 662 256 76 75 \n", + "12 : 6103 656 239 77 67 \n", + "13 : 6169 607 233 85 60 \n", "\n", - "T : 87020 8581 3121 751 527 [100000]\n", + "T : 85671 8789 3537 1075 928 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.5%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.2169e-02 sec\n", - "--- Collate = 8.9406e-05 sec\n", + "--- Coef/DT = 4.0%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 1.0078e-02 sec\n", + "--- Collate = 6.9881e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.336006e-05 < 6.250000e-03 [279]\n", - "--- Max DT=3.542088e-01 > 1.000000e-01 [69229]\n", + "--- Min DT=6.488823e-06 < 6.250000e-03 [584]\n", + "--- Max DT=3.286943e-01 > 1.000000e-01 [66208]\n", "----------------------------------------------------------------------\n", - " Component | low: 279/100000\n", - " Component | high: 69229/100000\n", + " Component | low: 584/100000\n", + " Component | high: 66208/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=40] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00177232 [ 1.02 %]\n", - "Velocity : 0.0034316 [ 1.97 %]\n", - "Force : 0.0604649 [ 34.66 %]\n", - "Coefs : 0.024581 [ 14.09 %]\n", - "Output : 0.00889673 [ 5.10 %]\n", - "Levels : 0.000276011 [ 0.16 %]\n", - "Report : 1.432e-06 [ 0.00 %]\n", - "Balance : 9.3e-07 [ 0.00 %]\n", - "Adjust : 0.0749582 [ 42.97 %]\n", - "Total : 0.174443 [100.00 %]\n", + "Drift : 0.000715521 [ 0.53 %]\n", + "Velocity : 0.00213546 [ 1.57 %]\n", + "Force : 0.04666 [ 34.30 %]\n", + "Coefs : 0.0198663 [ 14.60 %]\n", + "Output : 0.00564918 [ 4.15 %]\n", + "Levels : 0.000210225 [ 0.15 %]\n", + "Report : 1.202e-06 [ 0.00 %]\n", + "Balance : 5.33e-07 [ 0.00 %]\n", + "Adjust : 0.0607625 [ 44.66 %]\n", + "Total : 0.136054 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6246 593 214 51 38 \n", - "1 : 6227 601 233 47 34 \n", - "2 : 6211 629 212 51 39 \n", - "3 : 6210 626 215 58 33 \n", - "4 : 6189 648 221 51 33 \n", - "5 : 6243 604 214 42 39 \n", - "6 : 6223 618 213 49 39 \n", - "7 : 6186 597 248 57 54 \n", - "8 : 6229 610 233 42 28 \n", - "9 : 6215 595 231 63 38 \n", - "10 : 6211 605 226 58 42 \n", - "11 : 6219 602 219 67 35 \n", - "12 : 6198 622 224 64 34 \n", - "13 : 6208 641 222 41 42 \n", + "0 : 6098 629 271 63 81 \n", + "1 : 6120 610 282 64 66 \n", + "2 : 6101 626 243 99 73 \n", + "3 : 6158 608 243 59 74 \n", + "4 : 6147 590 253 80 72 \n", + "5 : 6125 633 236 80 68 \n", + "6 : 6068 663 277 75 59 \n", + "7 : 6122 627 245 79 69 \n", + "8 : 6136 604 257 90 55 \n", + "9 : 6130 634 241 82 55 \n", + "10 : 6110 610 276 75 71 \n", + "11 : 6063 662 265 72 80 \n", + "12 : 6110 647 242 69 74 \n", + "13 : 6161 611 237 78 67 \n", "\n", - "T : 87015 8591 3125 741 528 [100000]\n", + "T : 85649 8754 3568 1065 964 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.3%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.0807e-02 sec\n", - "--- Collate = 8.6243e-05 sec\n", + "--- Coef/DT = 4.0%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 9.8349e-03 sec\n", + "--- Collate = 8.3106e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.099058e-07 < 6.250000e-03 [289]\n", - "--- Max DT=3.501429e-01 > 1.000000e-01 [69207]\n", + "--- Min DT=8.608712e-07 < 6.250000e-03 [572]\n", + "--- Max DT=3.262873e-01 > 1.000000e-01 [66214]\n", "----------------------------------------------------------------------\n", - " Component | low: 289/100000\n", - " Component | high: 69207/100000\n", + " Component | low: 572/100000\n", + " Component | high: 66214/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=40.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00117385 [ 0.73 %]\n", - "Velocity : 0.00353449 [ 2.18 %]\n", - "Force : 0.0612555 [ 37.87 %]\n", - "Coefs : 0.0231374 [ 14.30 %]\n", - "Output : 0.00168195 [ 1.04 %]\n", - "Levels : 0.000268375 [ 0.17 %]\n", - "Report : 7.87e-07 [ 0.00 %]\n", - "Balance : 3.24e-07 [ 0.00 %]\n", - "Adjust : 0.0706581 [ 43.68 %]\n", - "Total : 0.161772 [100.00 %]\n", + "Drift : 0.000514391 [ 0.38 %]\n", + "Velocity : 0.00236489 [ 1.75 %]\n", + "Force : 0.0485476 [ 36.00 %]\n", + "Coefs : 0.0202887 [ 15.05 %]\n", + "Output : 0.00118754 [ 0.88 %]\n", + "Levels : 0.000242952 [ 0.18 %]\n", + "Report : 9.79e-07 [ 0.00 %]\n", + "Balance : 5.55e-07 [ 0.00 %]\n", + "Adjust : 0.0616433 [ 45.71 %]\n", + "Total : 0.134847 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6247 591 209 55 40 \n", - "1 : 6225 600 238 45 34 \n", - "2 : 6212 626 215 49 40 \n", - "3 : 6213 624 217 55 33 \n", - "4 : 6183 653 226 43 37 \n", - "5 : 6240 608 211 43 40 \n", - "6 : 6225 617 210 52 38 \n", - "7 : 6183 598 254 57 50 \n", - "8 : 6227 607 234 50 24 \n", - "9 : 6217 594 233 58 40 \n", - "10 : 6197 605 243 53 44 \n", - "11 : 6208 615 214 67 38 \n", - "12 : 6203 610 232 60 37 \n", - "13 : 6207 636 227 45 39 \n", + "0 : 6090 637 272 67 76 \n", + "1 : 6119 610 278 70 65 \n", + "2 : 6095 633 241 98 75 \n", + "3 : 6150 612 246 51 83 \n", + "4 : 6153 586 245 90 68 \n", + "5 : 6113 644 240 77 68 \n", + "6 : 6066 655 282 74 65 \n", + "7 : 6122 620 252 83 65 \n", + "8 : 6140 600 260 85 57 \n", + "9 : 6132 630 243 83 54 \n", + "10 : 6104 609 272 82 75 \n", + "11 : 6061 662 264 75 80 \n", + "12 : 6111 641 240 78 72 \n", + "13 : 6157 609 239 82 67 \n", "\n", - "T : 86987 8584 3163 732 534 [100000]\n", + "T : 85613 8748 3574 1095 970 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.2%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 3.3509e-02 sec\n", - "--- Collate = 9.0696e-05 sec\n", + "--- Coef/DT = 3.8%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 9.8547e-03 sec\n", + "--- Collate = 8.1596e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.505016e-06 < 6.250000e-03 [306]\n", - "--- Max DT=3.460881e-01 > 1.000000e-01 [69186]\n", + "--- Min DT=1.456682e-05 < 6.250000e-03 [568]\n", + "--- Max DT=3.238842e-01 > 1.000000e-01 [66225]\n", "----------------------------------------------------------------------\n", - " Component | low: 306/100000\n", - " Component | high: 69186/100000\n", + " Component | low: 568/100000\n", + " Component | high: 66225/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=40.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00135749 [ 0.59 %]\n", - "Velocity : 0.00310526 [ 1.36 %]\n", - "Force : 0.0744316 [ 32.51 %]\n", - "Coefs : 0.0268569 [ 11.73 %]\n", - "Output : 0.00154153 [ 0.67 %]\n", - "Levels : 0.00158838 [ 0.69 %]\n", - "Report : 1.257e-06 [ 0.00 %]\n", - "Balance : 7.63e-07 [ 0.00 %]\n", - "Adjust : 0.120038 [ 52.42 %]\n", - "Total : 0.228977 [100.00 %]\n", + "Drift : 0.000742356 [ 0.55 %]\n", + "Velocity : 0.00295059 [ 2.20 %]\n", + "Force : 0.0487723 [ 36.39 %]\n", + "Coefs : 0.0193033 [ 14.40 %]\n", + "Output : 0.00109741 [ 0.82 %]\n", + "Levels : 0.000205458 [ 0.15 %]\n", + "Report : 6.27e-07 [ 0.00 %]\n", + "Balance : 2.91e-07 [ 0.00 %]\n", + "Adjust : 0.0609148 [ 45.44 %]\n", + "Total : 0.134042 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6252 582 214 52 42 \n", - "1 : 6217 609 239 44 33 \n", - "2 : 6210 625 216 48 43 \n", - "3 : 6221 614 215 57 35 \n", - "4 : 6183 652 228 39 40 \n", - "5 : 6240 606 213 44 39 \n", - "6 : 6226 611 214 51 40 \n", - "7 : 6182 604 246 61 49 \n", - "8 : 6220 614 226 57 25 \n", - "9 : 6213 598 238 50 43 \n", - "10 : 6196 611 236 54 45 \n", - "11 : 6215 605 219 57 46 \n", - "12 : 6204 603 238 57 40 \n", - "13 : 6209 632 225 47 41 \n", + "0 : 6079 642 275 76 70 \n", + "1 : 6123 610 268 74 67 \n", + "2 : 6093 634 243 95 77 \n", + "3 : 6149 610 250 57 76 \n", + "4 : 6142 592 250 80 78 \n", + "5 : 6116 640 245 72 69 \n", + "6 : 6055 661 283 81 62 \n", + "7 : 6112 619 264 80 67 \n", + "8 : 6131 603 261 86 61 \n", + "9 : 6128 632 239 75 68 \n", + "10 : 6103 610 270 91 68 \n", + "11 : 6058 655 271 80 78 \n", + "12 : 6097 654 241 74 76 \n", + "13 : 6157 596 250 83 68 \n", "\n", - "T : 86988 8566 3167 718 561 [100000]\n", + "T : 85543 8758 3610 1104 985 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.6%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.6232e-02 sec\n", - "--- Collate = 8.1113e-05 sec\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 2.1%\n", + "--- Update = 9.6243e-03 sec\n", + "--- Collate = 6.9013e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.157813e-06 < 6.250000e-03 [306]\n", - "--- Max DT=3.419529e-01 > 1.000000e-01 [69196]\n", + "--- Min DT=5.561268e-06 < 6.250000e-03 [557]\n", + "--- Max DT=3.212704e-01 > 1.000000e-01 [66236]\n", "----------------------------------------------------------------------\n", - " Component | low: 306/100000\n", - " Component | high: 69196/100000\n", + " Component | low: 557/100000\n", + " Component | high: 66236/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=40.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00117388 [ 0.52 %]\n", - "Velocity : 0.00359049 [ 1.59 %]\n", - "Force : 0.0702025 [ 31.17 %]\n", - "Coefs : 0.0426856 [ 18.95 %]\n", - "Output : 0.00179052 [ 0.79 %]\n", - "Levels : 0.000351296 [ 0.16 %]\n", - "Report : 1.37e-06 [ 0.00 %]\n", - "Balance : 4.73e-07 [ 0.00 %]\n", - "Adjust : 0.1054 [ 46.79 %]\n", - "Total : 0.225255 [100.00 %]\n", + "Drift : 0.000815371 [ 0.60 %]\n", + "Velocity : 0.00330128 [ 2.43 %]\n", + "Force : 0.0489244 [ 36.02 %]\n", + "Coefs : 0.0192572 [ 14.18 %]\n", + "Output : 0.00184829 [ 1.36 %]\n", + "Levels : 0.000337449 [ 0.25 %]\n", + "Report : 5.75e-07 [ 0.00 %]\n", + "Balance : 3.54e-07 [ 0.00 %]\n", + "Adjust : 0.0612752 [ 45.12 %]\n", + "Total : 0.135809 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6249 584 218 50 41 \n", - "1 : 6219 610 230 44 39 \n", - "2 : 6214 620 216 45 47 \n", - "3 : 6225 611 218 53 35 \n", - "4 : 6180 652 229 44 37 \n", - "5 : 6236 613 210 43 40 \n", - "6 : 6226 608 215 53 40 \n", - "7 : 6179 600 254 59 50 \n", - "8 : 6223 609 220 59 31 \n", - "9 : 6211 605 230 58 38 \n", - "10 : 6206 600 236 51 49 \n", - "11 : 6213 614 220 51 44 \n", - "12 : 6195 607 245 58 37 \n", - "13 : 6211 622 228 50 43 \n", + "0 : 6074 647 274 72 75 \n", + "1 : 6124 594 277 80 67 \n", + "2 : 6091 629 249 92 81 \n", + "3 : 6151 612 245 59 75 \n", + "4 : 6142 586 254 84 76 \n", + "5 : 6104 648 242 74 74 \n", + "6 : 6039 668 283 92 60 \n", + "7 : 6108 619 261 92 62 \n", + "8 : 6125 609 264 77 67 \n", + "9 : 6113 642 242 80 65 \n", + "10 : 6088 616 282 87 69 \n", + "11 : 6058 650 275 82 77 \n", + "12 : 6104 645 242 75 76 \n", + "13 : 6154 593 259 79 69 \n", "\n", - "T : 86987 8555 3169 718 571 [100000]\n", + "T : 85475 8758 3649 1125 993 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.1232e-02 sec\n", - "--- Collate = 8.6223e-05 sec\n", + "--- Coef/DT = 4.4%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 9.5938e-03 sec\n", + "--- Collate = 9.2689e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.034301e-06 < 6.250000e-03 [313]\n", - "--- Max DT=3.378337e-01 > 1.000000e-01 [69199]\n", + "--- Min DT=5.044198e-06 < 6.250000e-03 [571]\n", + "--- Max DT=3.186685e-01 > 1.000000e-01 [66224]\n", "----------------------------------------------------------------------\n", - " Component | low: 313/100000\n", - " Component | high: 69199/100000\n", + " Component | low: 571/100000\n", + " Component | high: 66224/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=40.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000891604 [ 0.13 %]\n", - "Velocity : 0.00427712 [ 0.61 %]\n", - "Force : 0.175796 [ 25.19 %]\n", - "Coefs : 0.292851 [ 41.96 %]\n", - "Output : 0.00174113 [ 0.25 %]\n", - "Levels : 0.000273307 [ 0.04 %]\n", - "Report : 7.43e-07 [ 0.00 %]\n", - "Balance : 3.64e-07 [ 0.00 %]\n", - "Adjust : 0.222016 [ 31.81 %]\n", - "Total : 0.697911 [100.00 %]\n", + "Drift : 0.00115952 [ 0.85 %]\n", + "Velocity : 0.00339958 [ 2.49 %]\n", + "Force : 0.0482994 [ 35.39 %]\n", + "Coefs : 0.0189814 [ 13.91 %]\n", + "Output : 0.00194001 [ 1.42 %]\n", + "Levels : 0.000241563 [ 0.18 %]\n", + "Report : 4.86e-07 [ 0.00 %]\n", + "Balance : 2.78e-07 [ 0.00 %]\n", + "Adjust : 0.0623972 [ 45.72 %]\n", + "Total : 0.136475 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6255 569 224 51 43 \n", - "1 : 6217 614 230 44 37 \n", - "2 : 6213 621 214 47 47 \n", - "3 : 6222 611 215 57 37 \n", - "4 : 6176 650 232 46 38 \n", - "5 : 6240 610 204 50 38 \n", - "6 : 6231 606 210 62 33 \n", - "7 : 6176 607 251 57 51 \n", - "8 : 6215 617 218 63 29 \n", - "9 : 6216 604 225 59 38 \n", - "10 : 6211 587 241 59 44 \n", - "11 : 6209 612 226 42 53 \n", - "12 : 6191 616 242 57 36 \n", - "13 : 6213 623 221 57 40 \n", + "0 : 6062 657 276 74 73 \n", + "1 : 6122 595 274 82 69 \n", + "2 : 6086 629 252 95 80 \n", + "3 : 6154 615 232 72 69 \n", + "4 : 6145 589 245 86 77 \n", + "5 : 6094 648 253 77 70 \n", + "6 : 6037 672 275 94 64 \n", + "7 : 6100 629 253 100 60 \n", + "8 : 6122 604 265 84 67 \n", + "9 : 6123 627 246 85 61 \n", + "10 : 6080 620 287 79 76 \n", + "11 : 6057 648 277 81 79 \n", + "12 : 6088 658 246 68 82 \n", + "13 : 6149 600 248 87 70 \n", "\n", - "T : 86985 8547 3153 751 564 [100000]\n", + "T : 85419 8791 3629 1164 997 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.9%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.2749e-02 sec\n", - "--- Collate = 8.0506e-05 sec\n", + "--- Coef/DT = 4.1%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 9.5939e-03 sec\n", + "--- Collate = 6.6366e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.424242e-05 < 6.250000e-03 [309]\n", - "--- Max DT=3.337292e-01 > 1.000000e-01 [69176]\n", + "--- Min DT=1.467824e-06 < 6.250000e-03 [583]\n", + "--- Max DT=3.160742e-01 > 1.000000e-01 [66236]\n", "----------------------------------------------------------------------\n", - " Component | low: 309/100000\n", - " Component | high: 69176/100000\n", + " Component | low: 583/100000\n", + " Component | high: 66236/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=40.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000981778 [ 0.61 %]\n", - "Velocity : 0.0037262 [ 2.32 %]\n", - "Force : 0.0576722 [ 35.86 %]\n", - "Coefs : 0.0221799 [ 13.79 %]\n", - "Output : 0.00153232 [ 0.95 %]\n", - "Levels : 0.000379909 [ 0.24 %]\n", - "Report : 1.031e-06 [ 0.00 %]\n", - "Balance : 3.82e-07 [ 0.00 %]\n", - "Adjust : 0.0742744 [ 46.19 %]\n", - "Total : 0.160806 [100.00 %]\n", + "Drift : 0.00112132 [ 0.82 %]\n", + "Velocity : 0.00342609 [ 2.52 %]\n", + "Force : 0.0481887 [ 35.42 %]\n", + "Coefs : 0.0188214 [ 13.84 %]\n", + "Output : 0.00191816 [ 1.41 %]\n", + "Levels : 0.000269887 [ 0.20 %]\n", + "Report : 4.65e-07 [ 0.00 %]\n", + "Balance : 3.48e-07 [ 0.00 %]\n", + "Adjust : 0.0622388 [ 45.75 %]\n", + "Total : 0.136033 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6256 564 224 57 41 \n", - "1 : 6219 612 225 46 40 \n", - "2 : 6218 609 221 51 43 \n", - "3 : 6218 616 209 65 34 \n", - "4 : 6171 656 226 50 39 \n", - "5 : 6243 599 209 58 33 \n", - "6 : 6221 613 208 61 39 \n", - "7 : 6177 600 254 64 47 \n", - "8 : 6212 628 213 60 29 \n", - "9 : 6217 604 225 57 39 \n", - "10 : 6216 584 233 65 44 \n", - "11 : 6216 606 230 35 55 \n", - "12 : 6196 613 238 59 36 \n", - "13 : 6211 630 214 59 40 \n", + "0 : 6056 660 277 80 69 \n", + "1 : 6120 590 276 88 68 \n", + "2 : 6088 629 250 91 84 \n", + "3 : 6150 618 235 70 69 \n", + "4 : 6144 586 249 85 78 \n", + "5 : 6090 655 242 88 67 \n", + "6 : 6031 671 280 93 67 \n", + "7 : 6106 619 254 99 64 \n", + "8 : 6109 618 264 81 70 \n", + "9 : 6120 624 251 78 69 \n", + "10 : 6074 625 287 81 75 \n", + "11 : 6056 644 277 81 84 \n", + "12 : 6097 649 248 72 76 \n", + "13 : 6141 605 248 91 69 \n", "\n", - "T : 86991 8534 3129 787 559 [100000]\n", + "T : 85382 8793 3638 1178 1009 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.0%\n", - "--- Adj/Tot = 0.7%\n", - "--- Update = 1.2538e-02 sec\n", - "--- Collate = 7.1181e-05 sec\n", + "--- Coef/DT = 4.4%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 8.7469e-03 sec\n", + "--- Collate = 6.9849e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.508629e-05 < 6.250000e-03 [307]\n", - "--- Max DT=3.299208e-01 > 1.000000e-01 [69155]\n", + "--- Min DT=6.435356e-06 < 6.250000e-03 [575]\n", + "--- Max DT=3.147802e-01 > 1.000000e-01 [66241]\n", "----------------------------------------------------------------------\n", - " Component | low: 307/100000\n", - " Component | high: 69155/100000\n", + " Component | low: 575/100000\n", + " Component | high: 66241/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=40.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0010972 [ 0.66 %]\n", - "Velocity : 0.00327404 [ 1.98 %]\n", - "Force : 0.0605319 [ 36.59 %]\n", - "Coefs : 0.0243177 [ 14.70 %]\n", - "Output : 0.00169394 [ 1.02 %]\n", - "Levels : 0.000250596 [ 0.15 %]\n", - "Report : 1.038e-06 [ 0.00 %]\n", - "Balance : 3.98e-07 [ 0.00 %]\n", - "Adjust : 0.0741904 [ 44.85 %]\n", - "Total : 0.165416 [100.00 %]\n", + "Drift : 0.00114053 [ 0.84 %]\n", + "Velocity : 0.00358239 [ 2.64 %]\n", + "Force : 0.0486191 [ 35.84 %]\n", + "Coefs : 0.0193613 [ 14.27 %]\n", + "Output : 0.00174138 [ 1.28 %]\n", + "Levels : 0.000291462 [ 0.21 %]\n", + "Report : 6.7e-07 [ 0.00 %]\n", + "Balance : 3.45e-07 [ 0.00 %]\n", + "Adjust : 0.060848 [ 44.86 %]\n", + "Total : 0.135653 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6265 554 220 62 41 \n", - "1 : 6216 614 228 45 39 \n", - "2 : 6211 616 218 55 42 \n", - "3 : 6219 613 218 51 41 \n", - "4 : 6171 654 224 54 39 \n", - "5 : 6238 603 213 58 30 \n", - "6 : 6223 616 207 61 35 \n", - "7 : 6177 600 259 57 49 \n", - "8 : 6209 636 204 63 30 \n", - "9 : 6217 597 233 56 39 \n", - "10 : 6218 585 224 71 44 \n", - "11 : 6214 610 224 40 54 \n", - "12 : 6199 614 234 56 39 \n", - "13 : 6216 623 214 55 46 \n", + "0 : 6047 669 275 84 67 \n", + "1 : 6118 589 290 72 73 \n", + "2 : 6092 620 254 94 82 \n", + "3 : 6148 609 241 77 67 \n", + "4 : 6152 577 250 82 81 \n", + "5 : 6086 656 248 84 68 \n", + "6 : 6023 687 271 91 70 \n", + "7 : 6107 610 247 108 70 \n", + "8 : 6116 606 268 81 71 \n", + "9 : 6133 609 250 82 68 \n", + "10 : 6075 626 278 91 72 \n", + "11 : 6054 642 279 86 81 \n", + "12 : 6085 654 260 67 76 \n", + "13 : 6138 599 265 72 80 \n", "\n", - "T : 86993 8535 3120 784 568 [100000]\n", + "T : 85374 8753 3676 1171 1026 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.1%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.1788e-02 sec\n", - "--- Collate = 6.8281e-05 sec\n", + "--- Coef/DT = 4.0%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 9.4856e-03 sec\n", + "--- Collate = 6.4989e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.732320e-06 < 6.250000e-03 [294]\n", - "--- Max DT=3.294769e-01 > 1.000000e-01 [69111]\n", + "--- Min DT=1.018241e-06 < 6.250000e-03 [599]\n", + "--- Max DT=3.147700e-01 > 1.000000e-01 [66252]\n", "----------------------------------------------------------------------\n", - " Component | low: 294/100000\n", - " Component | high: 69111/100000\n", + " Component | low: 599/100000\n", + " Component | high: 66252/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=40.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00131413 [ 0.86 %]\n", - "Velocity : 0.0033709 [ 2.20 %]\n", - "Force : 0.0541423 [ 35.32 %]\n", - "Coefs : 0.0220327 [ 14.37 %]\n", - "Output : 0.00165179 [ 1.08 %]\n", - "Levels : 0.000347677 [ 0.23 %]\n", - "Report : 6.13e-07 [ 0.00 %]\n", - "Balance : 3.33e-07 [ 0.00 %]\n", - "Adjust : 0.0703762 [ 45.91 %]\n", - "Total : 0.153293 [100.00 %]\n", + "Drift : 0.0011437 [ 0.84 %]\n", + "Velocity : 0.00347921 [ 2.57 %]\n", + "Force : 0.048466 [ 35.75 %]\n", + "Coefs : 0.0191098 [ 14.09 %]\n", + "Output : 0.00177698 [ 1.31 %]\n", + "Levels : 0.000319228 [ 0.24 %]\n", + "Report : 6.43e-07 [ 0.00 %]\n", + "Balance : 3.44e-07 [ 0.00 %]\n", + "Adjust : 0.0612384 [ 45.17 %]\n", + "Total : 0.135588 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6262 556 217 66 41 \n", - "1 : 6217 612 227 48 38 \n", - "2 : 6210 608 228 58 38 \n", - "3 : 6216 611 220 51 44 \n", - "4 : 6171 653 224 50 44 \n", - "5 : 6238 600 213 57 34 \n", - "6 : 6221 613 208 64 36 \n", - "7 : 6177 604 247 58 56 \n", - "8 : 6211 631 207 60 33 \n", - "9 : 6217 595 243 53 34 \n", - "10 : 6223 580 224 71 44 \n", - "11 : 6219 603 225 50 45 \n", - "12 : 6201 603 252 45 41 \n", - "13 : 6221 612 221 55 45 \n", + "0 : 6045 673 270 85 69 \n", + "1 : 6114 596 290 73 69 \n", + "2 : 6085 624 255 96 82 \n", + "3 : 6146 610 242 76 68 \n", + "4 : 6144 579 260 77 82 \n", + "5 : 6077 657 259 80 69 \n", + "6 : 6015 691 274 90 72 \n", + "7 : 6100 613 257 100 72 \n", + "8 : 6113 606 270 81 72 \n", + "9 : 6121 625 249 76 71 \n", + "10 : 6082 619 280 91 70 \n", + "11 : 6043 649 278 93 79 \n", + "12 : 6080 647 265 73 77 \n", + "13 : 6128 604 268 79 75 \n", "\n", - "T : 87004 8481 3156 786 573 [100000]\n", + "T : 85293 8793 3717 1170 1027 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.9%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.2210e-02 sec\n", - "--- Collate = 8.9155e-05 sec\n", + "--- Coef/DT = 3.8%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 9.4262e-03 sec\n", + "--- Collate = 7.1284e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.780682e-06 < 6.250000e-03 [302]\n", - "--- Max DT=3.289544e-01 > 1.000000e-01 [69115]\n", + "--- Min DT=3.846913e-06 < 6.250000e-03 [615]\n", + "--- Max DT=3.147695e-01 > 1.000000e-01 [66264]\n", "----------------------------------------------------------------------\n", - " Component | low: 302/100000\n", - " Component | high: 69115/100000\n", + " Component | low: 615/100000\n", + " Component | high: 66264/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=40.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000560126 [ 0.36 %]\n", - "Velocity : 0.00510907 [ 3.27 %]\n", - "Force : 0.0563229 [ 36.10 %]\n", - "Coefs : 0.0221689 [ 14.21 %]\n", - "Output : 0.00158695 [ 1.02 %]\n", - "Levels : 0.000234512 [ 0.15 %]\n", - "Report : 6.53e-07 [ 0.00 %]\n", - "Balance : 3.8e-07 [ 0.00 %]\n", - "Adjust : 0.0699753 [ 44.85 %]\n", - "Total : 0.156011 [100.00 %]\n", + "Drift : 0.00116444 [ 0.85 %]\n", + "Velocity : 0.00345808 [ 2.51 %]\n", + "Force : 0.0492982 [ 35.84 %]\n", + "Coefs : 0.0191579 [ 13.93 %]\n", + "Output : 0.00189462 [ 1.38 %]\n", + "Levels : 0.000260216 [ 0.19 %]\n", + "Report : 8.86e-07 [ 0.00 %]\n", + "Balance : 3.72e-07 [ 0.00 %]\n", + "Adjust : 0.0622471 [ 45.26 %]\n", + "Total : 0.137534 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6252 562 219 70 39 \n", - "1 : 6220 614 221 48 39 \n", - "2 : 6213 596 237 62 34 \n", - "3 : 6215 609 221 59 38 \n", - "4 : 6167 656 227 49 43 \n", - "5 : 6236 605 208 59 34 \n", - "6 : 6217 605 220 65 35 \n", - "7 : 6179 611 235 62 55 \n", - "8 : 6213 631 193 67 38 \n", - "9 : 6216 591 248 51 36 \n", - "10 : 6220 585 221 74 42 \n", - "11 : 6220 599 229 51 43 \n", - "12 : 6203 602 249 50 38 \n", - "13 : 6220 611 221 59 43 \n", + "0 : 6042 669 276 85 70 \n", + "1 : 6103 606 289 69 75 \n", + "2 : 6089 617 255 97 84 \n", + "3 : 6136 622 237 76 71 \n", + "4 : 6125 598 248 92 79 \n", + "5 : 6082 650 265 77 68 \n", + "6 : 6009 687 284 91 71 \n", + "7 : 6092 613 270 94 73 \n", + "8 : 6121 602 266 79 74 \n", + "9 : 6111 629 255 75 72 \n", + "10 : 6073 625 282 85 77 \n", + "11 : 6043 643 280 100 76 \n", + "12 : 6075 647 265 80 75 \n", + "13 : 6129 605 260 75 85 \n", "\n", - "T : 86991 8477 3149 826 557 [100000]\n", + "T : 85230 8813 3732 1175 1050 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.2%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.3028e-02 sec\n", - "--- Collate = 1.0579e-04 sec\n", + "--- Coef/DT = 3.9%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 9.7516e-03 sec\n", + "--- Collate = 6.7557e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.359969e-06 < 6.250000e-03 [309]\n", - "--- Max DT=3.285267e-01 > 1.000000e-01 [69087]\n", + "--- Min DT=2.148872e-06 < 6.250000e-03 [629]\n", + "--- Max DT=3.147679e-01 > 1.000000e-01 [66267]\n", "----------------------------------------------------------------------\n", - " Component | low: 309/100000\n", - " Component | high: 69087/100000\n", + " Component | low: 629/100000\n", + " Component | high: 66267/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=40.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00099915 [ 0.60 %]\n", - "Velocity : 0.00330231 [ 1.99 %]\n", - "Force : 0.0606451 [ 36.58 %]\n", - "Coefs : 0.0258912 [ 15.62 %]\n", - "Output : 0.00160162 [ 0.97 %]\n", - "Levels : 0.000349469 [ 0.21 %]\n", - "Report : 1.205e-06 [ 0.00 %]\n", - "Balance : 5.19e-07 [ 0.00 %]\n", - "Adjust : 0.0729425 [ 44.00 %]\n", - "Total : 0.165789 [100.00 %]\n", + "Drift : 0.00128627 [ 0.94 %]\n", + "Velocity : 0.00346765 [ 2.52 %]\n", + "Force : 0.0485591 [ 35.34 %]\n", + "Coefs : 0.0192003 [ 13.97 %]\n", + "Output : 0.00182737 [ 1.33 %]\n", + "Levels : 0.00027892 [ 0.20 %]\n", + "Report : 6.53e-07 [ 0.00 %]\n", + "Balance : 3.71e-07 [ 0.00 %]\n", + "Adjust : 0.0627421 [ 45.66 %]\n", + "Total : 0.137417 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6258 559 215 67 43 \n", - "1 : 6221 613 218 54 36 \n", - "2 : 6216 586 237 69 34 \n", - "3 : 6217 610 218 57 40 \n", - "4 : 6168 654 225 53 42 \n", - "5 : 6236 599 215 55 37 \n", - "6 : 6218 607 219 63 35 \n", - "7 : 6182 606 245 52 57 \n", - "8 : 6213 625 198 70 36 \n", - "9 : 6220 587 245 56 34 \n", - "10 : 6217 586 226 72 41 \n", - "11 : 6215 594 237 52 44 \n", - "12 : 6199 607 249 47 40 \n", - "13 : 6220 608 219 66 41 \n", + "0 : 6033 666 284 90 69 \n", + "1 : 6091 610 293 75 73 \n", + "2 : 6083 614 268 89 88 \n", + "3 : 6134 622 237 74 75 \n", + "4 : 6124 590 256 101 71 \n", + "5 : 6073 660 267 73 69 \n", + "6 : 6015 677 286 87 77 \n", + "7 : 6099 604 273 85 81 \n", + "8 : 6105 626 258 81 72 \n", + "9 : 6112 633 249 69 79 \n", + "10 : 6068 625 288 79 82 \n", + "11 : 6035 649 277 104 77 \n", + "12 : 6073 648 263 73 85 \n", + "13 : 6125 602 265 83 79 \n", "\n", - "T : 87000 8441 3166 833 560 [100000]\n", + "T : 85170 8826 3764 1163 1077 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.2%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.2353e-02 sec\n", - "--- Collate = 1.4469e-04 sec\n", + "--- Coef/DT = 3.9%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 9.7040e-03 sec\n", + "--- Collate = 6.1425e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.548749e-06 < 6.250000e-03 [309]\n", - "--- Max DT=3.281063e-01 > 1.000000e-01 [69063]\n", + "--- Min DT=1.652488e-06 < 6.250000e-03 [639]\n", + "--- Max DT=3.147582e-01 > 1.000000e-01 [66283]\n", "----------------------------------------------------------------------\n", - " Component | low: 309/100000\n", - " Component | high: 69063/100000\n", + " Component | low: 639/100000\n", + " Component | high: 66283/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=41] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00115049 [ 0.67 %]\n", - "Velocity : 0.00381801 [ 2.22 %]\n", - "Force : 0.0603624 [ 35.08 %]\n", - "Coefs : 0.025024 [ 14.54 %]\n", - "Output : 0.00838203 [ 4.87 %]\n", - "Levels : 0.000270329 [ 0.16 %]\n", - "Report : 1.583e-06 [ 0.00 %]\n", - "Balance : 7.59e-07 [ 0.00 %]\n", - "Adjust : 0.0730039 [ 42.43 %]\n", - "Total : 0.172077 [100.00 %]\n", + "Drift : 0.00116396 [ 0.82 %]\n", + "Velocity : 0.00351432 [ 2.47 %]\n", + "Force : 0.0488177 [ 34.31 %]\n", + "Coefs : 0.019269 [ 13.54 %]\n", + "Output : 0.0067205 [ 4.72 %]\n", + "Levels : 0.000295376 [ 0.21 %]\n", + "Report : 1.714e-06 [ 0.00 %]\n", + "Balance : 5.78e-07 [ 0.00 %]\n", + "Adjust : 0.0624575 [ 43.89 %]\n", + "Total : 0.142293 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6254 561 218 63 46 \n", - "1 : 6222 613 215 55 37 \n", - "2 : 6213 594 235 65 35 \n", - "3 : 6224 604 212 57 45 \n", - "4 : 6169 646 230 53 44 \n", - "5 : 6239 606 207 49 41 \n", - "6 : 6217 606 226 55 38 \n", - "7 : 6186 604 235 59 58 \n", - "8 : 6219 615 203 64 41 \n", - "9 : 6214 592 248 56 32 \n", - "10 : 6217 583 234 67 41 \n", - "11 : 6217 592 242 49 42 \n", - "12 : 6200 599 256 48 39 \n", - "13 : 6218 609 217 69 41 \n", + "0 : 6030 662 295 75 80 \n", + "1 : 6086 614 290 74 78 \n", + "2 : 6085 613 270 88 86 \n", + "3 : 6137 616 241 70 78 \n", + "4 : 6112 603 250 102 75 \n", + "5 : 6069 669 251 80 73 \n", + "6 : 6017 676 283 90 76 \n", + "7 : 6088 612 271 83 88 \n", + "8 : 6097 640 247 86 72 \n", + "9 : 6101 641 251 67 82 \n", + "10 : 6064 631 289 81 77 \n", + "11 : 6041 637 275 98 91 \n", + "12 : 6070 645 262 78 87 \n", + "13 : 6126 601 264 82 81 \n", "\n", - "T : 87009 8424 3178 809 580 [100000]\n", + "T : 85123 8860 3739 1154 1124 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.9%\n", - "--- Adj/Tot = 0.7%\n", - "--- Update = 1.1953e-02 sec\n", - "--- Collate = 8.6255e-05 sec\n", + "--- Coef/DT = 3.8%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 9.8200e-03 sec\n", + "--- Collate = 6.5464e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.054641e-05 < 6.250000e-03 [300]\n", - "--- Max DT=3.277494e-01 > 1.000000e-01 [69045]\n", + "--- Min DT=3.499082e-06 < 6.250000e-03 [655]\n", + "--- Max DT=3.147484e-01 > 1.000000e-01 [66281]\n", "----------------------------------------------------------------------\n", - " Component | low: 300/100000\n", - " Component | high: 69045/100000\n", + " Component | low: 655/100000\n", + " Component | high: 66281/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=41.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00116795 [ 0.69 %]\n", - "Velocity : 0.00351466 [ 2.06 %]\n", - "Force : 0.0626413 [ 36.76 %]\n", - "Coefs : 0.0264207 [ 15.50 %]\n", - "Output : 0.00183296 [ 1.08 %]\n", - "Levels : 0.00028034 [ 0.16 %]\n", - "Report : 8.3e-07 [ 0.00 %]\n", - "Balance : 3.42e-07 [ 0.00 %]\n", - "Adjust : 0.0745079 [ 43.72 %]\n", - "Total : 0.170426 [100.00 %]\n", + "Drift : 0.00117187 [ 0.85 %]\n", + "Velocity : 0.00361765 [ 2.63 %]\n", + "Force : 0.0491767 [ 35.74 %]\n", + "Coefs : 0.0193824 [ 14.08 %]\n", + "Output : 0.0018864 [ 1.37 %]\n", + "Levels : 0.000291307 [ 0.21 %]\n", + "Report : 5.21e-07 [ 0.00 %]\n", + "Balance : 4.02e-07 [ 0.00 %]\n", + "Adjust : 0.0620338 [ 45.08 %]\n", + "Total : 0.137611 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6251 565 216 65 45 \n", - "1 : 6226 607 213 62 34 \n", - "2 : 6211 590 240 63 38 \n", - "3 : 6221 604 216 62 39 \n", - "4 : 6172 647 224 60 39 \n", - "5 : 6239 604 209 53 37 \n", - "6 : 6210 618 218 63 33 \n", - "7 : 6190 594 241 59 58 \n", - "8 : 6216 613 210 63 40 \n", - "9 : 6210 599 243 58 32 \n", - "10 : 6217 580 226 77 42 \n", - "11 : 6222 580 251 47 42 \n", - "12 : 6197 598 258 48 41 \n", - "13 : 6217 609 215 69 44 \n", + "0 : 6033 659 295 79 76 \n", + "1 : 6086 614 289 75 78 \n", + "2 : 6090 603 275 81 93 \n", + "3 : 6137 608 244 77 76 \n", + "4 : 6105 612 247 99 79 \n", + "5 : 6067 677 246 78 74 \n", + "6 : 6007 686 281 89 79 \n", + "7 : 6084 618 262 87 91 \n", + "8 : 6090 643 253 83 73 \n", + "9 : 6081 664 254 64 79 \n", + "10 : 6059 635 289 80 79 \n", + "11 : 6034 649 270 93 96 \n", + "12 : 6067 642 272 73 88 \n", + "13 : 6122 600 263 83 86 \n", "\n", - "T : 86999 8408 3180 849 564 [100000]\n", + "T : 85062 8910 3740 1141 1147 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.0%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.2258e-02 sec\n", - "--- Collate = 8.6978e-05 sec\n", + "--- Coef/DT = 4.0%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 9.6355e-03 sec\n", + "--- Collate = 7.3861e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.181144e-06 < 6.250000e-03 [311]\n", - "--- Max DT=3.274701e-01 > 1.000000e-01 [69032]\n", + "--- Min DT=1.464602e-05 < 6.250000e-03 [671]\n", + "--- Max DT=3.147412e-01 > 1.000000e-01 [66273]\n", "----------------------------------------------------------------------\n", - " Component | low: 311/100000\n", - " Component | high: 69032/100000\n", + " Component | low: 671/100000\n", + " Component | high: 66273/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=41.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00106595 [ 0.62 %]\n", - "Velocity : 0.00354003 [ 2.05 %]\n", - "Force : 0.0663343 [ 38.47 %]\n", - "Coefs : 0.0235621 [ 13.67 %]\n", - "Output : 0.00179076 [ 1.04 %]\n", - "Levels : 0.000308696 [ 0.18 %]\n", - "Report : 9.26e-07 [ 0.00 %]\n", - "Balance : 3.95e-07 [ 0.00 %]\n", - "Adjust : 0.0757432 [ 43.93 %]\n", - "Total : 0.17241 [100.00 %]\n", + "Drift : 0.00116602 [ 0.84 %]\n", + "Velocity : 0.00351188 [ 2.53 %]\n", + "Force : 0.0491876 [ 35.48 %]\n", + "Coefs : 0.0194942 [ 14.06 %]\n", + "Output : 0.00184601 [ 1.33 %]\n", + "Levels : 0.000296653 [ 0.21 %]\n", + "Report : 5.12e-07 [ 0.00 %]\n", + "Balance : 3.5e-07 [ 0.00 %]\n", + "Adjust : 0.0630648 [ 45.49 %]\n", + "Total : 0.138619 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6245 566 221 68 42 \n", - "1 : 6222 610 213 60 37 \n", - "2 : 6211 594 234 65 38 \n", - "3 : 6219 603 218 62 40 \n", - "4 : 6176 644 220 62 40 \n", - "5 : 6241 597 216 49 39 \n", - "6 : 6212 611 221 62 36 \n", - "7 : 6196 581 246 58 61 \n", - "8 : 6223 613 203 57 46 \n", - "9 : 6207 597 253 55 30 \n", - "10 : 6226 573 230 67 46 \n", - "11 : 6218 589 243 53 39 \n", - "12 : 6198 599 256 48 41 \n", - "13 : 6223 605 215 63 48 \n", + "0 : 6038 655 290 88 71 \n", + "1 : 6085 609 285 84 79 \n", + "2 : 6089 602 286 73 92 \n", + "3 : 6122 623 246 76 75 \n", + "4 : 6096 623 245 101 77 \n", + "5 : 6068 681 239 75 79 \n", + "6 : 6005 697 267 90 83 \n", + "7 : 6074 628 250 105 85 \n", + "8 : 6075 649 262 92 64 \n", + "9 : 6087 659 247 71 78 \n", + "10 : 6062 633 283 84 80 \n", + "11 : 6040 646 265 96 95 \n", + "12 : 6057 648 272 73 92 \n", + "13 : 6125 601 261 81 86 \n", "\n", - "T : 87017 8382 3189 829 583 [100000]\n", + "T : 85023 8954 3698 1189 1136 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.6%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.2167e-02 sec\n", - "--- Collate = 1.3921e-04 sec\n", + "--- Coef/DT = 4.1%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 9.7122e-03 sec\n", + "--- Collate = 8.5457e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.958382e-06 < 6.250000e-03 [317]\n", - "--- Max DT=3.271738e-01 > 1.000000e-01 [69042]\n", + "--- Min DT=7.750280e-06 < 6.250000e-03 [684]\n", + "--- Max DT=3.147325e-01 > 1.000000e-01 [66292]\n", "----------------------------------------------------------------------\n", - " Component | low: 317/100000\n", - " Component | high: 69042/100000\n", + " Component | low: 684/100000\n", + " Component | high: 66292/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=41.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00119667 [ 0.73 %]\n", - "Velocity : 0.00321609 [ 1.97 %]\n", - "Force : 0.0604281 [ 36.92 %]\n", - "Coefs : 0.024903 [ 15.22 %]\n", - "Output : 0.00156245 [ 0.95 %]\n", - "Levels : 0.000286652 [ 0.18 %]\n", - "Report : 9.78e-07 [ 0.00 %]\n", - "Balance : 3.4e-07 [ 0.00 %]\n", - "Adjust : 0.0720022 [ 44.00 %]\n", - "Total : 0.163653 [100.00 %]\n", + "Drift : 0.00116704 [ 0.83 %]\n", + "Velocity : 0.00359081 [ 2.55 %]\n", + "Force : 0.0498931 [ 35.46 %]\n", + "Coefs : 0.0198619 [ 14.12 %]\n", + "Output : 0.00180487 [ 1.28 %]\n", + "Levels : 0.000255398 [ 0.18 %]\n", + "Report : 8.12e-07 [ 0.00 %]\n", + "Balance : 3.9e-07 [ 0.00 %]\n", + "Adjust : 0.0640679 [ 45.54 %]\n", + "Total : 0.140693 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6239 566 228 59 50 \n", - "1 : 6224 609 216 57 36 \n", - "2 : 6209 593 236 68 36 \n", - "3 : 6220 607 219 51 45 \n", - "4 : 6170 643 227 53 49 \n", - "5 : 6237 599 220 50 36 \n", - "6 : 6212 608 228 53 41 \n", - "7 : 6197 577 250 65 53 \n", - "8 : 6219 607 216 56 44 \n", - "9 : 6202 595 256 58 31 \n", - "10 : 6226 575 223 75 43 \n", - "11 : 6226 584 236 55 41 \n", - "12 : 6201 600 255 50 36 \n", - "13 : 6219 609 215 61 50 \n", + "0 : 6030 661 290 91 70 \n", + "1 : 6085 619 270 87 81 \n", + "2 : 6075 612 288 75 92 \n", + "3 : 6124 614 254 68 82 \n", + "4 : 6089 629 248 94 82 \n", + "5 : 6070 671 251 71 79 \n", + "6 : 6001 697 276 89 79 \n", + "7 : 6074 625 264 88 91 \n", + "8 : 6069 659 258 87 69 \n", + "9 : 6086 650 254 74 78 \n", + "10 : 6056 633 289 84 80 \n", + "11 : 6037 650 263 97 95 \n", + "12 : 6048 661 268 70 95 \n", + "13 : 6135 587 267 78 87 \n", "\n", - "T : 87001 8372 3225 811 591 [100000]\n", + "T : 84979 8968 3740 1153 1160 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.2%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.1920e-02 sec\n", - "--- Collate = 8.5657e-05 sec\n", + "--- Coef/DT = 3.9%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 9.7297e-03 sec\n", + "--- Collate = 6.6960e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.309422e-07 < 6.250000e-03 [336]\n", - "--- Max DT=3.269184e-01 > 1.000000e-01 [69032]\n", + "--- Min DT=7.239016e-07 < 6.250000e-03 [669]\n", + "--- Max DT=3.147160e-01 > 1.000000e-01 [66315]\n", "----------------------------------------------------------------------\n", - " Component | low: 336/100000\n", - " Component | high: 69032/100000\n", + " Component | low: 669/100000\n", + " Component | high: 66315/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=41.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000728344 [ 0.43 %]\n", - "Velocity : 0.00339837 [ 1.99 %]\n", - "Force : 0.0636675 [ 37.24 %]\n", - "Coefs : 0.0262245 [ 15.34 %]\n", - "Output : 0.00155298 [ 0.91 %]\n", - "Levels : 0.000240435 [ 0.14 %]\n", - "Report : 5.83e-07 [ 0.00 %]\n", - "Balance : 3.72e-07 [ 0.00 %]\n", - "Adjust : 0.075088 [ 43.92 %]\n", - "Total : 0.170958 [100.00 %]\n", + "Drift : 0.00126319 [ 0.84 %]\n", + "Velocity : 0.00351695 [ 2.34 %]\n", + "Force : 0.0500149 [ 33.23 %]\n", + "Coefs : 0.0195115 [ 12.96 %]\n", + "Output : 0.00189774 [ 1.26 %]\n", + "Levels : 0.000269305 [ 0.18 %]\n", + "Report : 5.1e-07 [ 0.00 %]\n", + "Balance : 3.87e-07 [ 0.00 %]\n", + "Adjust : 0.0739802 [ 49.15 %]\n", + "Total : 0.150507 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6239 567 224 58 54 \n", - "1 : 6223 610 215 51 43 \n", - "2 : 6208 601 228 62 43 \n", - "3 : 6219 606 221 54 42 \n", - "4 : 6166 652 215 59 50 \n", - "5 : 6244 594 213 49 42 \n", - "6 : 6211 609 228 51 43 \n", - "7 : 6199 586 240 64 53 \n", - "8 : 6220 603 216 56 47 \n", - "9 : 6195 598 261 54 34 \n", - "10 : 6234 568 222 74 44 \n", - "11 : 6230 587 227 55 43 \n", - "12 : 6204 598 253 52 35 \n", - "13 : 6223 609 213 58 51 \n", + "0 : 6031 655 294 89 73 \n", + "1 : 6070 629 269 90 84 \n", + "2 : 6067 622 279 75 99 \n", + "3 : 6107 625 257 70 83 \n", + "4 : 6077 635 256 95 79 \n", + "5 : 6075 665 256 64 82 \n", + "6 : 5989 711 272 86 84 \n", + "7 : 6074 615 275 81 97 \n", + "8 : 6060 666 255 96 65 \n", + "9 : 6078 656 255 83 70 \n", + "10 : 6053 642 284 90 73 \n", + "11 : 6027 664 256 101 94 \n", + "12 : 6051 659 261 75 96 \n", + "13 : 6129 586 270 88 81 \n", "\n", - "T : 87015 8388 3176 797 624 [100000]\n", + "T : 84888 9030 3739 1183 1160 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.3%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.1429e-02 sec\n", - "--- Collate = 9.5216e-05 sec\n", + "--- Coef/DT = 3.8%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 9.8096e-03 sec\n", + "--- Collate = 6.9671e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.201345e-05 < 6.250000e-03 [343]\n", - "--- Max DT=3.266078e-01 > 1.000000e-01 [68997]\n", + "--- Min DT=8.871797e-06 < 6.250000e-03 [670]\n", + "--- Max DT=3.147019e-01 > 1.000000e-01 [66346]\n", "----------------------------------------------------------------------\n", - " Component | low: 343/100000\n", - " Component | high: 68997/100000\n", + " Component | low: 670/100000\n", + " Component | high: 66346/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=41.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00125788 [ 0.77 %]\n", - "Velocity : 0.0034967 [ 2.14 %]\n", - "Force : 0.0614303 [ 37.66 %]\n", - "Coefs : 0.024601 [ 15.08 %]\n", - "Output : 0.00196228 [ 1.20 %]\n", - "Levels : 0.000251007 [ 0.15 %]\n", - "Report : 1.081e-06 [ 0.00 %]\n", - "Balance : 2.95e-07 [ 0.00 %]\n", - "Adjust : 0.0700548 [ 42.95 %]\n", - "Total : 0.163113 [100.00 %]\n", + "Drift : 0.00121074 [ 0.85 %]\n", + "Velocity : 0.00357708 [ 2.52 %]\n", + "Force : 0.0489067 [ 34.47 %]\n", + "Coefs : 0.019426 [ 13.69 %]\n", + "Output : 0.00177763 [ 1.25 %]\n", + "Levels : 0.000254963 [ 0.18 %]\n", + "Report : 7.96e-07 [ 0.00 %]\n", + "Balance : 3.91e-07 [ 0.00 %]\n", + "Adjust : 0.0666925 [ 47.00 %]\n", + "Total : 0.141898 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6241 561 228 58 54 \n", - "1 : 6220 605 220 55 42 \n", - "2 : 6211 595 230 56 50 \n", - "3 : 6218 609 220 59 36 \n", - "4 : 6170 641 219 62 50 \n", - "5 : 6249 585 216 48 44 \n", - "6 : 6203 619 228 49 43 \n", - "7 : 6202 584 242 60 54 \n", - "8 : 6227 598 216 53 48 \n", - "9 : 6196 598 262 50 36 \n", - "10 : 6223 574 228 77 40 \n", - "11 : 6224 592 225 56 45 \n", - "12 : 6208 590 250 56 38 \n", - "13 : 6224 608 217 59 46 \n", + "0 : 6040 642 294 91 75 \n", + "1 : 6058 642 270 94 78 \n", + "2 : 6060 630 276 76 100 \n", + "3 : 6108 629 247 75 83 \n", + "4 : 6075 642 250 88 87 \n", + "5 : 6073 670 252 67 80 \n", + "6 : 5986 715 267 87 87 \n", + "7 : 6064 630 269 80 99 \n", + "8 : 6064 666 249 100 63 \n", + "9 : 6077 655 262 80 68 \n", + "10 : 6049 640 282 94 77 \n", + "11 : 6023 670 256 93 100 \n", + "12 : 6045 655 265 81 96 \n", + "13 : 6126 589 267 89 83 \n", "\n", - "T : 87016 8359 3201 798 626 [100000]\n", + "T : 84848 9075 3706 1195 1176 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.6%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.2698e-02 sec\n", - "--- Collate = 8.6956e-05 sec\n", + "--- Coef/DT = 4.0%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 9.7773e-03 sec\n", + "--- Collate = 6.6968e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.439720e-05 < 6.250000e-03 [345]\n", - "--- Max DT=3.260834e-01 > 1.000000e-01 [68954]\n", + "--- Min DT=3.719636e-06 < 6.250000e-03 [656]\n", + "--- Max DT=3.146887e-01 > 1.000000e-01 [66380]\n", "----------------------------------------------------------------------\n", - " Component | low: 345/100000\n", - " Component | high: 68954/100000\n", + " Component | low: 656/100000\n", + " Component | high: 66380/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=41.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00109359 [ 0.70 %]\n", - "Velocity : 0.00337412 [ 2.17 %]\n", - "Force : 0.0575198 [ 36.95 %]\n", - "Coefs : 0.0213515 [ 13.72 %]\n", - "Output : 0.00168686 [ 1.08 %]\n", - "Levels : 0.000314286 [ 0.20 %]\n", - "Report : 1.041e-06 [ 0.00 %]\n", - "Balance : 4.11e-07 [ 0.00 %]\n", - "Adjust : 0.070259 [ 45.13 %]\n", - "Total : 0.155669 [100.00 %]\n", + "Drift : 0.00119268 [ 0.86 %]\n", + "Velocity : 0.00358134 [ 2.57 %]\n", + "Force : 0.0496024 [ 35.65 %]\n", + "Coefs : 0.0196522 [ 14.12 %]\n", + "Output : 0.00183996 [ 1.32 %]\n", + "Levels : 0.000317928 [ 0.23 %]\n", + "Report : 6.09e-07 [ 0.00 %]\n", + "Balance : 3.92e-07 [ 0.00 %]\n", + "Adjust : 0.0629124 [ 45.21 %]\n", + "Total : 0.13915 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6247 557 221 59 58 \n", - "1 : 6225 599 218 58 42 \n", - "2 : 6213 592 231 51 55 \n", - "3 : 6212 616 216 57 41 \n", - "4 : 6170 642 218 59 53 \n", - "5 : 6251 586 211 48 46 \n", - "6 : 6203 620 225 48 46 \n", - "7 : 6199 587 242 60 54 \n", - "8 : 6232 588 222 55 45 \n", - "9 : 6197 595 259 53 38 \n", - "10 : 6219 578 225 77 43 \n", - "11 : 6221 593 231 49 48 \n", - "12 : 6208 592 250 57 35 \n", - "13 : 6227 607 217 59 44 \n", + "0 : 6038 644 292 99 69 \n", + "1 : 6047 652 266 97 80 \n", + "2 : 6061 634 261 87 99 \n", + "3 : 6104 627 254 74 83 \n", + "4 : 6067 649 247 92 87 \n", + "5 : 6066 679 250 69 78 \n", + "6 : 5986 723 263 82 88 \n", + "7 : 6056 628 275 91 92 \n", + "8 : 6068 665 252 93 64 \n", + "9 : 6068 662 259 86 67 \n", + "10 : 6038 649 289 87 79 \n", + "11 : 6033 660 265 93 91 \n", + "12 : 6027 668 277 80 90 \n", + "13 : 6115 599 266 87 87 \n", "\n", - "T : 87024 8352 3186 790 648 [100000]\n", + "T : 84774 9139 3716 1217 1154 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.0%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.2348e-02 sec\n", - "--- Collate = 8.0477e-05 sec\n", + "--- Coef/DT = 3.7%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 9.6135e-03 sec\n", + "--- Collate = 6.7373e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.173265e-07 < 6.250000e-03 [378]\n", - "--- Max DT=3.254745e-01 > 1.000000e-01 [68929]\n", + "--- Min DT=5.076894e-06 < 6.250000e-03 [652]\n", + "--- Max DT=3.148485e-01 > 1.000000e-01 [66400]\n", "----------------------------------------------------------------------\n", - " Component | low: 378/100000\n", - " Component | high: 68929/100000\n", + " Component | low: 652/100000\n", + " Component | high: 66400/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=41.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00135234 [ 0.80 %]\n", - "Velocity : 0.00329677 [ 1.96 %]\n", - "Force : 0.0621396 [ 36.87 %]\n", - "Coefs : 0.0258025 [ 15.31 %]\n", - "Output : 0.00173319 [ 1.03 %]\n", - "Levels : 0.000268049 [ 0.16 %]\n", - "Report : 9.52e-07 [ 0.00 %]\n", - "Balance : 3.59e-07 [ 0.00 %]\n", - "Adjust : 0.0738673 [ 43.83 %]\n", - "Total : 0.168518 [100.00 %]\n", + "Drift : 0.00119794 [ 0.86 %]\n", + "Velocity : 0.00354584 [ 2.55 %]\n", + "Force : 0.0493393 [ 35.53 %]\n", + "Coefs : 0.0196343 [ 14.14 %]\n", + "Output : 0.00182916 [ 1.32 %]\n", + "Levels : 0.000248245 [ 0.18 %]\n", + "Report : 8.71e-07 [ 0.00 %]\n", + "Balance : 3.55e-07 [ 0.00 %]\n", + "Adjust : 0.0630086 [ 45.38 %]\n", + "Total : 0.138857 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6245 547 234 58 58 \n", - "1 : 6227 594 220 55 46 \n", - "2 : 6217 591 231 50 53 \n", - "3 : 6216 612 222 49 43 \n", - "4 : 6171 643 215 62 51 \n", - "5 : 6247 596 203 54 42 \n", - "6 : 6205 618 220 47 52 \n", - "7 : 6205 584 239 63 51 \n", - "8 : 6234 592 213 57 46 \n", - "9 : 6195 596 259 48 44 \n", - "10 : 6213 594 212 75 48 \n", - "11 : 6225 588 237 46 46 \n", - "12 : 6212 586 248 62 34 \n", - "13 : 6222 610 222 53 47 \n", + "0 : 6033 642 299 101 67 \n", + "1 : 6047 648 263 104 80 \n", + "2 : 6061 639 258 83 101 \n", + "3 : 6103 621 263 76 79 \n", + "4 : 6060 650 251 94 87 \n", + "5 : 6067 678 245 77 75 \n", + "6 : 5977 725 272 82 86 \n", + "7 : 6057 622 283 89 91 \n", + "8 : 6063 663 261 88 67 \n", + "9 : 6064 667 265 78 68 \n", + "10 : 6039 649 289 88 77 \n", + "11 : 6028 664 264 103 83 \n", + "12 : 6021 669 275 90 87 \n", + "13 : 6109 613 253 90 89 \n", "\n", - "T : 87034 8351 3175 779 661 [100000]\n", + "T : 84729 9150 3741 1243 1137 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.0%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.2562e-02 sec\n", - "--- Collate = 8.8073e-05 sec\n", + "--- Coef/DT = 4.0%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 9.6091e-03 sec\n", + "--- Collate = 6.6500e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.126278e-05 < 6.250000e-03 [381]\n", - "--- Max DT=3.247024e-01 > 1.000000e-01 [68911]\n", + "--- Min DT=7.273204e-06 < 6.250000e-03 [631]\n", + "--- Max DT=3.150372e-01 > 1.000000e-01 [66417]\n", "----------------------------------------------------------------------\n", - " Component | low: 381/100000\n", - " Component | high: 68911/100000\n", + " Component | low: 631/100000\n", + " Component | high: 66417/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=41.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000968804 [ 0.54 %]\n", - "Velocity : 0.00374306 [ 2.08 %]\n", - "Force : 0.0630128 [ 35.10 %]\n", - "Coefs : 0.0250522 [ 13.95 %]\n", - "Output : 0.00186427 [ 1.04 %]\n", - "Levels : 0.00920378 [ 5.13 %]\n", - "Report : 1.479e-06 [ 0.00 %]\n", - "Balance : 6.23e-07 [ 0.00 %]\n", - "Adjust : 0.0756339 [ 42.13 %]\n", - "Total : 0.179541 [100.00 %]\n", + "Drift : 0.00115188 [ 0.82 %]\n", + "Velocity : 0.00346356 [ 2.48 %]\n", + "Force : 0.0497257 [ 35.61 %]\n", + "Coefs : 0.019683 [ 14.10 %]\n", + "Output : 0.00189015 [ 1.35 %]\n", + "Levels : 0.000257766 [ 0.18 %]\n", + "Report : 5.22e-07 [ 0.00 %]\n", + "Balance : 3.44e-07 [ 0.00 %]\n", + "Adjust : 0.0634195 [ 45.42 %]\n", + "Total : 0.139644 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6242 554 233 60 53 \n", - "1 : 6229 596 220 52 45 \n", - "2 : 6221 584 236 45 56 \n", - "3 : 6218 610 222 48 44 \n", - "4 : 6171 644 210 61 56 \n", - "5 : 6248 587 213 49 45 \n", - "6 : 6212 609 218 52 51 \n", - "7 : 6211 580 234 63 54 \n", - "8 : 6238 587 215 56 46 \n", - "9 : 6198 596 255 49 44 \n", - "10 : 6218 590 214 67 53 \n", - "11 : 6224 582 245 47 44 \n", - "12 : 6204 600 239 62 37 \n", - "13 : 6223 607 223 50 51 \n", + "0 : 6029 651 287 97 78 \n", + "1 : 6034 659 267 97 85 \n", + "2 : 6062 640 253 86 101 \n", + "3 : 6106 621 258 79 78 \n", + "4 : 6054 644 267 86 91 \n", + "5 : 6056 696 232 85 73 \n", + "6 : 5971 726 273 84 88 \n", + "7 : 6059 622 283 90 88 \n", + "8 : 6060 662 265 77 78 \n", + "9 : 6068 653 277 80 64 \n", + "10 : 6029 658 281 97 77 \n", + "11 : 6025 660 273 96 88 \n", + "12 : 6022 671 263 97 89 \n", + "13 : 6105 623 253 89 84 \n", "\n", - "T : 87057 8326 3177 761 679 [100000]\n", + "T : 84680 9186 3732 1240 1162 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.3%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.2652e-02 sec\n", - "--- Collate = 1.5057e-04 sec\n", + "--- Coef/DT = 3.7%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 9.5758e-03 sec\n", + "--- Collate = 6.6222e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.803689e-06 < 6.250000e-03 [387]\n", - "--- Max DT=3.239581e-01 > 1.000000e-01 [68884]\n", + "--- Min DT=1.793112e-07 < 6.250000e-03 [654]\n", + "--- Max DT=3.152274e-01 > 1.000000e-01 [66437]\n", "----------------------------------------------------------------------\n", - " Component | low: 387/100000\n", - " Component | high: 68884/100000\n", + " Component | low: 654/100000\n", + " Component | high: 66437/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=41.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00127162 [ 0.68 %]\n", - "Velocity : 0.00355675 [ 1.91 %]\n", - "Force : 0.065691 [ 35.32 %]\n", - "Coefs : 0.0260174 [ 13.99 %]\n", - "Output : 0.00187403 [ 1.01 %]\n", - "Levels : 0.000311116 [ 0.17 %]\n", - "Report : 7.81e-07 [ 0.00 %]\n", - "Balance : 4.03e-07 [ 0.00 %]\n", - "Adjust : 0.0871909 [ 46.88 %]\n", - "Total : 0.185971 [100.00 %]\n", + "Drift : 0.00114388 [ 0.83 %]\n", + "Velocity : 0.00343649 [ 2.51 %]\n", + "Force : 0.0491595 [ 35.84 %]\n", + "Coefs : 0.0192273 [ 14.02 %]\n", + "Output : 0.00182086 [ 1.33 %]\n", + "Levels : 0.000236783 [ 0.17 %]\n", + "Report : 4.75e-07 [ 0.00 %]\n", + "Balance : 3.4e-07 [ 0.00 %]\n", + "Adjust : 0.0620769 [ 45.26 %]\n", + "Total : 0.137155 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6245 551 231 63 52 \n", - "1 : 6226 599 217 49 51 \n", - "2 : 6222 578 244 45 53 \n", - "3 : 6220 612 215 51 44 \n", - "4 : 6171 651 209 57 54 \n", - "5 : 6250 584 212 43 53 \n", - "6 : 6218 599 224 45 56 \n", - "7 : 6203 590 232 63 54 \n", - "8 : 6236 592 206 62 46 \n", - "9 : 6191 604 249 50 48 \n", - "10 : 6211 597 216 61 57 \n", - "11 : 6223 585 242 49 43 \n", - "12 : 6210 598 233 68 33 \n", - "13 : 6220 605 225 54 50 \n", + "0 : 6011 677 272 96 86 \n", + "1 : 6028 658 276 93 87 \n", + "2 : 6059 643 252 91 97 \n", + "3 : 6097 623 265 76 81 \n", + "4 : 6045 651 264 95 87 \n", + "5 : 6058 692 238 79 75 \n", + "6 : 5978 726 268 90 80 \n", + "7 : 6050 629 282 95 86 \n", + "8 : 6048 669 263 86 76 \n", + "9 : 6066 654 274 80 68 \n", + "10 : 6034 648 284 106 70 \n", + "11 : 6016 668 276 103 79 \n", + "12 : 6022 664 271 105 80 \n", + "13 : 6095 630 258 91 80 \n", "\n", - "T : 87046 8345 3155 760 694 [100000]\n", + "T : 84607 9232 3743 1286 1132 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.0%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.1458e-02 sec\n", - "--- Collate = 1.4773e-04 sec\n", + "--- Coef/DT = 3.9%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 9.6674e-03 sec\n", + "--- Collate = 6.4352e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.407539e-06 < 6.250000e-03 [379]\n", - "--- Max DT=3.231635e-01 > 1.000000e-01 [68846]\n", + "--- Min DT=6.409375e-06 < 6.250000e-03 [677]\n", + "--- Max DT=3.154182e-01 > 1.000000e-01 [66458]\n", "----------------------------------------------------------------------\n", - " Component | low: 379/100000\n", - " Component | high: 68846/100000\n", + " Component | low: 677/100000\n", + " Component | high: 66458/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=42] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00140871 [ 0.74 %]\n", - "Velocity : 0.00326633 [ 1.72 %]\n", - "Force : 0.06176 [ 32.45 %]\n", - "Coefs : 0.0262423 [ 13.79 %]\n", - "Output : 0.0077631 [ 4.08 %]\n", - "Levels : 0.000500557 [ 0.26 %]\n", - "Report : 1.505e-06 [ 0.00 %]\n", - "Balance : 9.99e-07 [ 0.00 %]\n", - "Adjust : 0.089298 [ 46.92 %]\n", - "Total : 0.190322 [100.00 %]\n", + "Drift : 0.00118242 [ 0.82 %]\n", + "Velocity : 0.00361437 [ 2.51 %]\n", + "Force : 0.049332 [ 34.27 %]\n", + "Coefs : 0.0198665 [ 13.80 %]\n", + "Output : 0.00681329 [ 4.73 %]\n", + "Levels : 0.000308921 [ 0.21 %]\n", + "Report : 1.521e-06 [ 0.00 %]\n", + "Balance : 6.67e-07 [ 0.00 %]\n", + "Adjust : 0.0627859 [ 43.61 %]\n", + "Total : 0.143957 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6245 551 228 67 51 \n", - "1 : 6223 602 218 45 54 \n", - "2 : 6228 572 241 44 57 \n", - "3 : 6222 611 213 49 47 \n", - "4 : 6176 648 209 49 60 \n", - "5 : 6251 588 205 47 51 \n", - "6 : 6217 605 213 53 54 \n", - "7 : 6204 589 229 69 51 \n", - "8 : 6241 587 205 64 45 \n", - "9 : 6197 589 258 50 48 \n", - "10 : 6211 600 215 60 56 \n", - "11 : 6222 585 245 45 45 \n", - "12 : 6212 597 227 72 34 \n", - "13 : 6215 610 221 62 46 \n", + "0 : 6006 686 260 104 86 \n", + "1 : 6028 653 279 95 87 \n", + "2 : 6059 639 261 86 97 \n", + "3 : 6083 645 261 67 86 \n", + "4 : 6045 645 271 94 87 \n", + "5 : 6051 690 246 78 77 \n", + "6 : 5967 737 260 100 78 \n", + "7 : 6039 646 274 92 91 \n", + "8 : 6037 679 265 76 85 \n", + "9 : 6063 658 273 77 71 \n", + "10 : 6040 640 291 97 74 \n", + "11 : 6014 664 278 107 79 \n", + "12 : 6021 669 264 101 87 \n", + "13 : 6089 632 271 79 83 \n", "\n", - "T : 87064 8334 3127 776 699 [100000]\n", + "T : 84542 9283 3754 1253 1168 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.4%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.0823e-02 sec\n", - "--- Collate = 6.5273e-05 sec\n", + "--- Coef/DT = 3.6%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 9.5891e-03 sec\n", + "--- Collate = 6.7571e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.220796e-05 < 6.250000e-03 [404]\n", - "--- Max DT=3.225168e-01 > 1.000000e-01 [68821]\n", + "--- Min DT=3.125177e-07 < 6.250000e-03 [692]\n", + "--- Max DT=3.156013e-01 > 1.000000e-01 [66468]\n", "----------------------------------------------------------------------\n", - " Component | low: 404/100000\n", - " Component | high: 68821/100000\n", + " Component | low: 692/100000\n", + " Component | high: 66468/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=42.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000713247 [ 0.43 %]\n", - "Velocity : 0.00375902 [ 2.28 %]\n", - "Force : 0.0587154 [ 35.55 %]\n", - "Coefs : 0.0220166 [ 13.33 %]\n", - "Output : 0.00189267 [ 1.15 %]\n", - "Levels : 0.000230749 [ 0.14 %]\n", - "Report : 7.07e-07 [ 0.00 %]\n", - "Balance : 3.65e-07 [ 0.00 %]\n", - "Adjust : 0.0777555 [ 47.08 %]\n", - "Total : 0.16514 [100.00 %]\n", + "Drift : 0.00120095 [ 0.86 %]\n", + "Velocity : 0.00369834 [ 2.66 %]\n", + "Force : 0.0497524 [ 35.78 %]\n", + "Coefs : 0.0196636 [ 14.14 %]\n", + "Output : 0.00184809 [ 1.33 %]\n", + "Levels : 0.000264447 [ 0.19 %]\n", + "Report : 5.29e-07 [ 0.00 %]\n", + "Balance : 3.94e-07 [ 0.00 %]\n", + "Adjust : 0.0625924 [ 45.01 %]\n", + "Total : 0.139069 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6245 553 221 70 53 \n", - "1 : 6227 608 204 47 56 \n", - "2 : 6234 567 237 45 59 \n", - "3 : 6224 614 203 53 48 \n", - "4 : 6174 647 215 45 61 \n", - "5 : 6244 592 209 45 52 \n", - "6 : 6216 603 212 58 53 \n", - "7 : 6201 591 235 63 52 \n", - "8 : 6240 582 207 64 49 \n", - "9 : 6203 584 257 49 49 \n", - "10 : 6215 600 213 56 58 \n", - "11 : 6223 585 243 49 42 \n", - "12 : 6209 598 228 65 42 \n", - "13 : 6217 614 212 62 49 \n", + "0 : 6006 684 261 98 93 \n", + "1 : 6026 661 274 92 89 \n", + "2 : 6060 639 250 97 96 \n", + "3 : 6092 643 257 67 83 \n", + "4 : 6042 649 268 96 87 \n", + "5 : 6051 694 241 78 78 \n", + "6 : 5964 740 253 108 77 \n", + "7 : 6039 652 269 89 93 \n", + "8 : 6031 675 266 82 88 \n", + "9 : 6064 660 272 74 72 \n", + "10 : 6034 640 298 89 81 \n", + "11 : 6009 669 276 108 80 \n", + "12 : 6018 665 271 98 90 \n", + "13 : 6087 626 271 88 82 \n", "\n", - "T : 87072 8338 3096 771 723 [100000]\n", + "T : 84523 9297 3727 1264 1189 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.6%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.2524e-02 sec\n", - "--- Collate = 3.9656e-04 sec\n", + "--- Coef/DT = 3.6%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 9.7381e-03 sec\n", + "--- Collate = 6.8664e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.643252e-05 < 6.250000e-03 [408]\n", - "--- Max DT=3.218623e-01 > 1.000000e-01 [68800]\n", + "--- Min DT=3.693156e-06 < 6.250000e-03 [698]\n", + "--- Max DT=3.157829e-01 > 1.000000e-01 [66470]\n", "----------------------------------------------------------------------\n", - " Component | low: 408/100000\n", - " Component | high: 68800/100000\n", + " Component | low: 698/100000\n", + " Component | high: 66470/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=42.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00121526 [ 0.69 %]\n", - "Velocity : 0.00346212 [ 1.98 %]\n", - "Force : 0.0670606 [ 38.28 %]\n", - "Coefs : 0.0255948 [ 14.61 %]\n", - "Output : 0.00173179 [ 0.99 %]\n", - "Levels : 0.000297346 [ 0.17 %]\n", - "Report : 8.69e-07 [ 0.00 %]\n", - "Balance : 4.11e-07 [ 0.00 %]\n", - "Adjust : 0.075766 [ 43.25 %]\n", - "Total : 0.175188 [100.00 %]\n", + "Drift : 0.00115028 [ 0.82 %]\n", + "Velocity : 0.00367331 [ 2.63 %]\n", + "Force : 0.0499346 [ 35.72 %]\n", + "Coefs : 0.0200047 [ 14.31 %]\n", + "Output : 0.00183317 [ 1.31 %]\n", + "Levels : 0.000254194 [ 0.18 %]\n", + "Report : 7.81e-07 [ 0.00 %]\n", + "Balance : 4e-07 [ 0.00 %]\n", + "Adjust : 0.0628908 [ 44.99 %]\n", + "Total : 0.139795 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6247 553 216 75 51 \n", - "1 : 6232 605 201 41 63 \n", - "2 : 6228 578 233 49 54 \n", - "3 : 6232 609 203 54 44 \n", - "4 : 6178 646 213 42 63 \n", - "5 : 6241 596 205 47 53 \n", - "6 : 6214 602 212 65 49 \n", - "7 : 6198 593 234 62 55 \n", - "8 : 6242 584 198 68 50 \n", - "9 : 6213 576 251 55 47 \n", - "10 : 6219 603 203 55 62 \n", - "11 : 6223 580 248 50 41 \n", - "12 : 6202 609 223 66 42 \n", - "13 : 6209 621 216 60 48 \n", + "0 : 5999 698 253 101 91 \n", + "1 : 6025 659 274 96 88 \n", + "2 : 6055 638 254 104 91 \n", + "3 : 6084 654 250 70 84 \n", + "4 : 6039 665 258 101 79 \n", + "5 : 6044 699 243 79 77 \n", + "6 : 5959 743 259 110 71 \n", + "7 : 6038 655 265 88 96 \n", + "8 : 6021 678 272 88 83 \n", + "9 : 6056 671 268 78 69 \n", + "10 : 6036 637 291 98 80 \n", + "11 : 6008 681 265 107 81 \n", + "12 : 6015 676 268 92 91 \n", + "13 : 6084 624 277 86 83 \n", "\n", - "T : 87078 8355 3056 789 722 [100000]\n", + "T : 84463 9378 3697 1298 1164 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.6%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.1380e-02 sec\n", - "--- Collate = 1.5339e-04 sec\n", + "--- Coef/DT = 3.8%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 9.4251e-03 sec\n", + "--- Collate = 6.4920e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.095431e-06 < 6.250000e-03 [404]\n", - "--- Max DT=3.212281e-01 > 1.000000e-01 [68787]\n", + "--- Min DT=1.557767e-06 < 6.250000e-03 [685]\n", + "--- Max DT=3.159660e-01 > 1.000000e-01 [66494]\n", "----------------------------------------------------------------------\n", - " Component | low: 404/100000\n", - " Component | high: 68787/100000\n", + " Component | low: 685/100000\n", + " Component | high: 66494/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=42.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00115581 [ 0.68 %]\n", - "Velocity : 0.00375411 [ 2.22 %]\n", - "Force : 0.064999 [ 38.43 %]\n", - "Coefs : 0.0250954 [ 14.84 %]\n", - "Output : 0.00188132 [ 1.11 %]\n", - "Levels : 0.000260254 [ 0.15 %]\n", - "Report : 9.59e-07 [ 0.00 %]\n", - "Balance : 3.32e-07 [ 0.00 %]\n", - "Adjust : 0.0719511 [ 42.53 %]\n", - "Total : 0.169157 [100.00 %]\n", + "Drift : 0.00121871 [ 0.87 %]\n", + "Velocity : 0.00359437 [ 2.56 %]\n", + "Force : 0.0501331 [ 35.73 %]\n", + "Coefs : 0.0200654 [ 14.30 %]\n", + "Output : 0.00180986 [ 1.29 %]\n", + "Levels : 0.000254633 [ 0.18 %]\n", + "Report : 5.36e-07 [ 0.00 %]\n", + "Balance : 3.85e-07 [ 0.00 %]\n", + "Adjust : 0.0631715 [ 45.03 %]\n", + "Total : 0.140301 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6254 540 221 69 58 \n", - "1 : 6235 603 202 44 58 \n", - "2 : 6236 575 227 55 49 \n", - "3 : 6236 611 199 51 45 \n", - "4 : 6176 648 210 45 63 \n", - "5 : 6241 598 204 47 52 \n", - "6 : 6213 600 211 69 49 \n", - "7 : 6200 595 231 60 56 \n", - "8 : 6250 579 189 71 53 \n", - "9 : 6214 576 246 54 52 \n", - "10 : 6225 602 194 58 63 \n", - "11 : 6227 577 249 53 36 \n", - "12 : 6206 607 215 69 45 \n", - "13 : 6215 612 217 67 43 \n", + "0 : 5996 692 260 104 90 \n", + "1 : 6024 655 273 102 88 \n", + "2 : 6052 633 262 99 96 \n", + "3 : 6078 659 244 81 80 \n", + "4 : 6025 681 257 94 85 \n", + "5 : 6050 688 244 80 80 \n", + "6 : 5955 741 276 100 70 \n", + "7 : 6032 661 261 93 95 \n", + "8 : 6021 680 271 88 82 \n", + "9 : 6051 677 261 83 70 \n", + "10 : 6032 652 285 95 78 \n", + "11 : 6010 681 265 102 84 \n", + "12 : 6010 683 262 95 92 \n", + "13 : 6079 624 281 87 83 \n", "\n", - "T : 87128 8323 3015 812 722 [100000]\n", + "T : 84415 9407 3702 1303 1173 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.1%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 2.6996e-02 sec\n", - "--- Collate = 8.4582e-05 sec\n", + "--- Coef/DT = 3.9%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 9.7495e-03 sec\n", + "--- Collate = 6.7162e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.356977e-05 < 6.250000e-03 [409]\n", - "--- Max DT=3.205996e-01 > 1.000000e-01 [68749]\n", + "--- Min DT=1.189348e-06 < 6.250000e-03 [689]\n", + "--- Max DT=3.161470e-01 > 1.000000e-01 [66529]\n", "----------------------------------------------------------------------\n", - " Component | low: 409/100000\n", - " Component | high: 68749/100000\n", + " Component | low: 689/100000\n", + " Component | high: 66529/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=42.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00110341 [ 0.58 %]\n", - "Velocity : 0.00374362 [ 1.98 %]\n", - "Force : 0.0561668 [ 29.77 %]\n", - "Coefs : 0.0365824 [ 19.39 %]\n", - "Output : 0.00183738 [ 0.97 %]\n", - "Levels : 0.000258854 [ 0.14 %]\n", - "Report : 7.29e-07 [ 0.00 %]\n", - "Balance : 3.39e-07 [ 0.00 %]\n", - "Adjust : 0.0889355 [ 47.13 %]\n", - "Total : 0.188687 [100.00 %]\n", + "Drift : 0.0012812 [ 0.91 %]\n", + "Velocity : 0.00363365 [ 2.59 %]\n", + "Force : 0.0498606 [ 35.54 %]\n", + "Coefs : 0.019844 [ 14.14 %]\n", + "Output : 0.00184062 [ 1.31 %]\n", + "Levels : 0.000251454 [ 0.18 %]\n", + "Report : 5.98e-07 [ 0.00 %]\n", + "Balance : 3.78e-07 [ 0.00 %]\n", + "Adjust : 0.0635342 [ 45.28 %]\n", + "Total : 0.140301 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6252 540 223 68 59 \n", - "1 : 6240 604 193 50 55 \n", - "2 : 6235 572 235 50 50 \n", - "3 : 6232 611 201 52 46 \n", - "4 : 6176 649 210 49 58 \n", - "5 : 6244 586 211 50 51 \n", - "6 : 6215 595 211 70 51 \n", - "7 : 6189 606 236 60 51 \n", - "8 : 6254 578 192 62 56 \n", - "9 : 6215 574 243 57 53 \n", - "10 : 6224 596 200 60 62 \n", - "11 : 6224 580 247 57 34 \n", - "12 : 6205 602 222 66 47 \n", - "13 : 6211 622 208 67 46 \n", + "0 : 5985 703 262 105 87 \n", + "1 : 6028 649 278 95 92 \n", + "2 : 6049 633 265 101 94 \n", + "3 : 6067 668 245 78 84 \n", + "4 : 6026 683 262 89 82 \n", + "5 : 6058 676 248 80 80 \n", + "6 : 5948 743 275 99 77 \n", + "7 : 6028 661 265 86 102 \n", + "8 : 6011 691 272 82 86 \n", + "9 : 6042 687 252 91 70 \n", + "10 : 6035 642 294 90 81 \n", + "11 : 6012 675 266 107 82 \n", + "12 : 6004 691 264 93 90 \n", + "13 : 6087 612 292 78 85 \n", "\n", - "T : 87116 8315 3032 818 719 [100000]\n", + "T : 84380 9414 3740 1274 1192 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.4%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.1719e-02 sec\n", - "--- Collate = 8.8993e-05 sec\n", + "--- Coef/DT = 3.9%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 9.7337e-03 sec\n", + "--- Collate = 7.5032e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.476233e-05 < 6.250000e-03 [410]\n", - "--- Max DT=3.199106e-01 > 1.000000e-01 [68739]\n", + "--- Min DT=8.486509e-07 < 6.250000e-03 [692]\n", + "--- Max DT=3.163225e-01 > 1.000000e-01 [66525]\n", "----------------------------------------------------------------------\n", - " Component | low: 410/100000\n", - " Component | high: 68739/100000\n", + " Component | low: 692/100000\n", + " Component | high: 66525/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=42.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00135368 [ 0.31 %]\n", - "Velocity : 0.00516418 [ 1.19 %]\n", - "Force : 0.143207 [ 32.97 %]\n", - "Coefs : 0.10991 [ 25.30 %]\n", - "Output : 0.00182376 [ 0.42 %]\n", - "Levels : 0.000346669 [ 0.08 %]\n", - "Report : 1.388e-06 [ 0.00 %]\n", - "Balance : 4.91e-07 [ 0.00 %]\n", - "Adjust : 0.172482 [ 39.71 %]\n", - "Total : 0.434352 [100.00 %]\n", + "Drift : 0.00118565 [ 0.84 %]\n", + "Velocity : 0.00361359 [ 2.57 %]\n", + "Force : 0.0501369 [ 35.71 %]\n", + "Coefs : 0.0201175 [ 14.33 %]\n", + "Output : 0.00188797 [ 1.34 %]\n", + "Levels : 0.000295992 [ 0.21 %]\n", + "Report : 9.06e-07 [ 0.00 %]\n", + "Balance : 3.34e-07 [ 0.00 %]\n", + "Adjust : 0.0630967 [ 44.95 %]\n", + "Total : 0.140385 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6251 540 234 57 60 \n", - "1 : 6241 597 192 54 58 \n", - "2 : 6233 575 230 56 48 \n", - "3 : 6235 603 207 51 46 \n", - "4 : 6176 646 212 51 57 \n", - "5 : 6244 593 203 56 46 \n", - "6 : 6217 592 218 67 48 \n", - "7 : 6193 601 233 63 52 \n", - "8 : 6256 577 189 67 53 \n", - "9 : 6217 571 239 60 55 \n", - "10 : 6221 597 205 61 58 \n", - "11 : 6225 576 253 55 33 \n", - "12 : 6201 602 228 63 48 \n", - "13 : 6198 634 214 61 47 \n", + "0 : 5985 698 262 100 97 \n", + "1 : 6019 660 283 94 86 \n", + "2 : 6041 635 271 98 97 \n", + "3 : 6066 659 255 69 93 \n", + "4 : 6018 690 264 83 87 \n", + "5 : 6058 679 240 88 77 \n", + "6 : 5939 747 282 95 79 \n", + "7 : 6028 665 254 94 101 \n", + "8 : 6010 686 277 86 83 \n", + "9 : 6038 692 262 83 67 \n", + "10 : 6022 652 299 85 84 \n", + "11 : 6019 671 264 110 78 \n", + "12 : 6002 699 256 94 91 \n", + "13 : 6076 619 287 90 82 \n", "\n", - "T : 87108 8304 3057 822 709 [100000]\n", + "T : 84321 9452 3756 1269 1202 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.9%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.2678e-02 sec\n", - "--- Collate = 1.0453e-04 sec\n", + "--- Coef/DT = 3.8%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 9.6336e-03 sec\n", + "--- Collate = 6.7014e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.756180e-07 < 6.250000e-03 [409]\n", - "--- Max DT=3.195538e-01 > 1.000000e-01 [68693]\n", + "--- Min DT=5.023041e-07 < 6.250000e-03 [694]\n", + "--- Max DT=3.165035e-01 > 1.000000e-01 [66566]\n", "----------------------------------------------------------------------\n", - " Component | low: 409/100000\n", - " Component | high: 68693/100000\n", + " Component | low: 694/100000\n", + " Component | high: 66566/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=42.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00106147 [ 0.48 %]\n", - "Velocity : 0.00331291 [ 1.48 %]\n", - "Force : 0.0699853 [ 31.35 %]\n", - "Coefs : 0.0440185 [ 19.72 %]\n", - "Output : 0.00144656 [ 0.65 %]\n", - "Levels : 0.000293333 [ 0.13 %]\n", - "Report : 1.017e-06 [ 0.00 %]\n", - "Balance : 3.98e-07 [ 0.00 %]\n", - "Adjust : 0.103083 [ 46.17 %]\n", - "Total : 0.223269 [100.00 %]\n", + "Drift : 0.00119306 [ 0.85 %]\n", + "Velocity : 0.00360063 [ 2.57 %]\n", + "Force : 0.0501163 [ 35.82 %]\n", + "Coefs : 0.0197575 [ 14.12 %]\n", + "Output : 0.0019335 [ 1.38 %]\n", + "Levels : 0.000251659 [ 0.18 %]\n", + "Report : 4.79e-07 [ 0.00 %]\n", + "Balance : 3.84e-07 [ 0.00 %]\n", + "Adjust : 0.0629983 [ 45.03 %]\n", + "Total : 0.139903 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6253 532 240 56 61 \n", - "1 : 6244 590 196 51 61 \n", - "2 : 6227 582 226 55 52 \n", - "3 : 6234 595 218 46 49 \n", - "4 : 6177 640 215 56 54 \n", - "5 : 6247 579 210 61 45 \n", - "6 : 6220 592 222 58 50 \n", - "7 : 6202 596 225 62 57 \n", - "8 : 6252 578 192 63 57 \n", - "9 : 6219 572 236 57 58 \n", - "10 : 6217 597 210 65 53 \n", - "11 : 6224 579 246 59 34 \n", - "12 : 6206 591 234 60 51 \n", - "13 : 6198 632 213 65 46 \n", + "0 : 5972 704 266 101 99 \n", + "1 : 6009 670 284 97 82 \n", + "2 : 6047 631 265 98 101 \n", + "3 : 6056 667 259 69 91 \n", + "4 : 6017 686 264 88 87 \n", + "5 : 6060 678 243 86 75 \n", + "6 : 5935 751 286 94 76 \n", + "7 : 6024 658 270 97 93 \n", + "8 : 6013 681 283 78 87 \n", + "9 : 6033 692 262 84 71 \n", + "10 : 6020 654 295 87 86 \n", + "11 : 6018 670 265 108 81 \n", + "12 : 6002 700 260 93 87 \n", + "13 : 6078 614 286 93 83 \n", "\n", - "T : 87120 8255 3083 814 728 [100000]\n", + "T : 84284 9456 3788 1273 1199 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.2%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.1876e-02 sec\n", - "--- Collate = 1.1832e-04 sec\n", + "--- Coef/DT = 3.5%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 9.9061e-03 sec\n", + "--- Collate = 7.1994e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.804624e-05 < 6.250000e-03 [402]\n", - "--- Max DT=3.195292e-01 > 1.000000e-01 [68677]\n", + "--- Min DT=9.170518e-06 < 6.250000e-03 [665]\n", + "--- Max DT=3.166853e-01 > 1.000000e-01 [66556]\n", "----------------------------------------------------------------------\n", - " Component | low: 402/100000\n", - " Component | high: 68677/100000\n", + " Component | low: 665/100000\n", + " Component | high: 66556/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=42.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00115423 [ 0.68 %]\n", - "Velocity : 0.00373987 [ 2.20 %]\n", - "Force : 0.060699 [ 35.77 %]\n", - "Coefs : 0.0268371 [ 15.81 %]\n", - "Output : 0.00111519 [ 0.66 %]\n", - "Levels : 0.000245445 [ 0.14 %]\n", - "Report : 7.32e-07 [ 0.00 %]\n", - "Balance : 3.4e-07 [ 0.00 %]\n", - "Adjust : 0.0758506 [ 44.70 %]\n", - "Total : 0.169702 [100.00 %]\n", + "Drift : 0.00119668 [ 0.85 %]\n", + "Velocity : 0.00363065 [ 2.57 %]\n", + "Force : 0.0503618 [ 35.69 %]\n", + "Coefs : 0.020645 [ 14.63 %]\n", + "Output : 0.00184405 [ 1.31 %]\n", + "Levels : 0.000264873 [ 0.19 %]\n", + "Report : 6.18e-07 [ 0.00 %]\n", + "Balance : 3.51e-07 [ 0.00 %]\n", + "Adjust : 0.0630978 [ 44.72 %]\n", + "Total : 0.141095 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6248 543 236 51 64 \n", - "1 : 6243 584 197 59 59 \n", - "2 : 6222 584 228 56 52 \n", - "3 : 6227 606 212 46 51 \n", - "4 : 6174 641 216 56 55 \n", - "5 : 6249 569 222 58 44 \n", - "6 : 6221 592 221 58 50 \n", - "7 : 6200 600 225 65 52 \n", - "8 : 6249 585 193 57 58 \n", - "9 : 6219 578 231 51 63 \n", - "10 : 6216 597 209 70 50 \n", - "11 : 6225 582 242 57 36 \n", - "12 : 6208 586 236 58 54 \n", - "13 : 6194 636 213 63 48 \n", + "0 : 5965 720 254 102 101 \n", + "1 : 6012 669 279 102 80 \n", + "2 : 6044 629 271 101 97 \n", + "3 : 6063 659 258 75 87 \n", + "4 : 6016 682 265 100 79 \n", + "5 : 6049 693 237 87 76 \n", + "6 : 5936 744 293 93 76 \n", + "7 : 6014 661 277 97 93 \n", + "8 : 6004 690 281 80 87 \n", + "9 : 6034 687 266 86 69 \n", + "10 : 6013 655 308 82 84 \n", + "11 : 6011 681 264 104 82 \n", + "12 : 6000 695 264 94 89 \n", + "13 : 6073 621 289 90 81 \n", "\n", - "T : 87095 8283 3081 805 736 [100000]\n", + "T : 84234 9486 3806 1293 1181 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.2%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.2579e-02 sec\n", - "--- Collate = 8.0654e-05 sec\n", + "--- Coef/DT = 3.8%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 9.6763e-03 sec\n", + "--- Collate = 6.7576e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.898132e-05 < 6.250000e-03 [409]\n", - "--- Max DT=3.194598e-01 > 1.000000e-01 [68655]\n", + "--- Min DT=5.709486e-06 < 6.250000e-03 [669]\n", + "--- Max DT=3.168560e-01 > 1.000000e-01 [66561]\n", "----------------------------------------------------------------------\n", - " Component | low: 409/100000\n", - " Component | high: 68655/100000\n", + " Component | low: 669/100000\n", + " Component | high: 66561/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=42.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000987748 [ 0.56 %]\n", - "Velocity : 0.00375505 [ 2.14 %]\n", - "Force : 0.065663 [ 37.40 %]\n", - "Coefs : 0.0283353 [ 16.14 %]\n", - "Output : 0.00119441 [ 0.68 %]\n", - "Levels : 0.00027369 [ 0.16 %]\n", - "Report : 8.63e-07 [ 0.00 %]\n", - "Balance : 4.33e-07 [ 0.00 %]\n", - "Adjust : 0.0753037 [ 42.89 %]\n", - "Total : 0.175572 [100.00 %]\n", + "Drift : 0.00122259 [ 0.87 %]\n", + "Velocity : 0.00370502 [ 2.63 %]\n", + "Force : 0.0510475 [ 36.20 %]\n", + "Coefs : 0.0202704 [ 14.37 %]\n", + "Output : 0.00174134 [ 1.23 %]\n", + "Levels : 0.000254348 [ 0.18 %]\n", + "Report : 8.9e-07 [ 0.00 %]\n", + "Balance : 3.77e-07 [ 0.00 %]\n", + "Adjust : 0.0627077 [ 44.47 %]\n", + "Total : 0.14102 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6244 548 232 52 66 \n", - "1 : 6247 583 196 55 61 \n", - "2 : 6220 587 227 55 53 \n", - "3 : 6226 604 217 45 50 \n", - "4 : 6174 638 222 55 53 \n", - "5 : 6249 562 230 56 45 \n", - "6 : 6219 592 224 54 53 \n", - "7 : 6203 596 228 63 52 \n", - "8 : 6252 581 194 57 58 \n", - "9 : 6227 567 235 57 56 \n", - "10 : 6220 593 206 76 47 \n", - "11 : 6225 593 229 54 41 \n", - "12 : 6207 582 239 59 55 \n", - "13 : 6196 642 207 54 55 \n", + "0 : 5967 717 258 102 98 \n", + "1 : 6018 656 281 104 83 \n", + "2 : 6042 633 262 114 91 \n", + "3 : 6053 666 260 78 85 \n", + "4 : 6016 677 267 101 81 \n", + "5 : 6047 692 235 88 80 \n", + "6 : 5934 749 280 97 82 \n", + "7 : 6005 678 271 102 86 \n", + "8 : 5998 702 271 92 79 \n", + "9 : 6022 700 256 95 69 \n", + "10 : 6008 663 301 88 82 \n", + "11 : 6009 679 264 109 81 \n", + "12 : 5996 700 270 92 84 \n", + "13 : 6064 631 283 91 85 \n", "\n", - "T : 87109 8268 3086 792 745 [100000]\n", + "T : 84179 9543 3759 1353 1166 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.6%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.2588e-02 sec\n", - "--- Collate = 9.4526e-05 sec\n", + "--- Coef/DT = 4.1%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 9.7746e-03 sec\n", + "--- Collate = 7.9425e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.447477e-07 < 6.250000e-03 [410]\n", - "--- Max DT=3.198125e-01 > 1.000000e-01 [68638]\n", + "--- Min DT=1.376675e-06 < 6.250000e-03 [642]\n", + "--- Max DT=3.170310e-01 > 1.000000e-01 [66555]\n", "----------------------------------------------------------------------\n", - " Component | low: 410/100000\n", - " Component | high: 68638/100000\n", + " Component | low: 642/100000\n", + " Component | high: 66555/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=42.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00114964 [ 0.62 %]\n", - "Velocity : 0.00360446 [ 1.94 %]\n", - "Force : 0.0643435 [ 34.63 %]\n", - "Coefs : 0.0254218 [ 13.68 %]\n", - "Output : 0.000966341 [ 0.52 %]\n", - "Levels : 0.000274131 [ 0.15 %]\n", - "Report : 1.16e-06 [ 0.00 %]\n", - "Balance : 4.86e-07 [ 0.00 %]\n", - "Adjust : 0.0900038 [ 48.44 %]\n", - "Total : 0.185821 [100.00 %]\n", + "Drift : 0.00126331 [ 0.89 %]\n", + "Velocity : 0.00374393 [ 2.62 %]\n", + "Force : 0.0505942 [ 35.47 %]\n", + "Coefs : 0.0203136 [ 14.24 %]\n", + "Output : 0.00186383 [ 1.31 %]\n", + "Levels : 0.000288072 [ 0.20 %]\n", + "Report : 6.43e-07 [ 0.00 %]\n", + "Balance : 3.4e-07 [ 0.00 %]\n", + "Adjust : 0.0645235 [ 45.23 %]\n", + "Total : 0.142644 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6246 547 235 49 65 \n", - "1 : 6237 597 190 68 50 \n", - "2 : 6224 579 237 51 51 \n", - "3 : 6229 593 220 52 48 \n", - "4 : 6177 635 229 51 50 \n", - "5 : 6252 562 231 51 46 \n", - "6 : 6213 596 226 56 51 \n", - "7 : 6201 598 230 61 52 \n", - "8 : 6258 577 191 64 52 \n", - "9 : 6230 568 230 51 63 \n", - "10 : 6215 594 204 81 48 \n", - "11 : 6223 595 231 49 44 \n", - "12 : 6210 582 237 57 56 \n", - "13 : 6200 634 206 61 53 \n", + "0 : 5971 702 275 90 104 \n", + "1 : 6011 671 274 106 80 \n", + "2 : 6033 653 244 120 92 \n", + "3 : 6055 657 262 84 84 \n", + "4 : 6019 664 278 92 89 \n", + "5 : 6046 696 235 88 77 \n", + "6 : 5936 748 279 94 85 \n", + "7 : 6005 676 278 96 87 \n", + "8 : 6002 701 268 95 76 \n", + "9 : 6020 699 261 95 67 \n", + "10 : 6011 675 291 81 84 \n", + "11 : 6005 680 271 99 87 \n", + "12 : 5995 705 267 90 85 \n", + "13 : 6064 635 281 89 85 \n", "\n", - "T : 87115 8257 3097 802 729 [100000]\n", + "T : 84173 9562 3764 1319 1182 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.3%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.1372e-02 sec\n", - "--- Collate = 7.1692e-05 sec\n", + "--- Coef/DT = 3.9%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 9.7938e-03 sec\n", + "--- Collate = 6.7289e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.746314e-07 < 6.250000e-03 [414]\n", - "--- Max DT=3.206462e-01 > 1.000000e-01 [68620]\n", + "--- Min DT=4.329439e-06 < 6.250000e-03 [645]\n", + "--- Max DT=3.171979e-01 > 1.000000e-01 [66611]\n", "----------------------------------------------------------------------\n", - " Component | low: 414/100000\n", - " Component | high: 68620/100000\n", + " Component | low: 645/100000\n", + " Component | high: 66611/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=43] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000884 [ 0.50 %]\n", - "Velocity : 0.00329354 [ 1.86 %]\n", - "Force : 0.0609988 [ 34.39 %]\n", - "Coefs : 0.0342864 [ 19.33 %]\n", - "Output : 0.00727621 [ 4.10 %]\n", - "Levels : 0.000211565 [ 0.12 %]\n", - "Report : 1.441e-06 [ 0.00 %]\n", - "Balance : 8.08e-07 [ 0.00 %]\n", - "Adjust : 0.0703657 [ 39.67 %]\n", - "Total : 0.177373 [100.00 %]\n", + "Drift : 0.0011915 [ 0.82 %]\n", + "Velocity : 0.0036595 [ 2.51 %]\n", + "Force : 0.0501189 [ 34.44 %]\n", + "Coefs : 0.0200819 [ 13.80 %]\n", + "Output : 0.00676159 [ 4.65 %]\n", + "Levels : 0.000270074 [ 0.19 %]\n", + "Report : 1.621e-06 [ 0.00 %]\n", + "Balance : 8.01e-07 [ 0.00 %]\n", + "Adjust : 0.0633696 [ 43.55 %]\n", + "Total : 0.145523 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6240 557 230 52 63 \n", - "1 : 6239 594 185 71 53 \n", - "2 : 6222 578 239 51 52 \n", - "3 : 6232 588 221 51 50 \n", - "4 : 6181 629 232 49 51 \n", - "5 : 6263 557 219 57 46 \n", - "6 : 6205 602 230 57 48 \n", - "7 : 6198 601 234 56 53 \n", - "8 : 6249 585 196 61 51 \n", - "9 : 6227 568 230 54 63 \n", - "10 : 6208 605 201 76 52 \n", - "11 : 6225 597 224 52 44 \n", - "12 : 6214 576 242 56 54 \n", - "13 : 6202 630 205 58 59 \n", + "0 : 5965 713 273 100 91 \n", + "1 : 6010 674 280 99 79 \n", + "2 : 6034 653 236 125 94 \n", + "3 : 6049 656 266 88 83 \n", + "4 : 6017 668 280 93 84 \n", + "5 : 6043 702 232 87 78 \n", + "6 : 5936 738 291 94 83 \n", + "7 : 6001 681 277 101 82 \n", + "8 : 5997 709 265 103 68 \n", + "9 : 6020 698 261 90 73 \n", + "10 : 6002 686 283 88 83 \n", + "11 : 6007 676 277 102 80 \n", + "12 : 5991 705 271 90 85 \n", + "13 : 6061 639 279 94 81 \n", "\n", - "T : 87105 8267 3088 801 739 [100000]\n", + "T : 84133 9598 3771 1354 1144 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.9%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.1310e-02 sec\n", - "--- Collate = 8.7472e-05 sec\n", + "--- Coef/DT = 3.6%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 9.7595e-03 sec\n", + "--- Collate = 6.9182e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.313335e-06 < 6.250000e-03 [421]\n", - "--- Max DT=3.214714e-01 > 1.000000e-01 [68591]\n", + "--- Min DT=1.298044e-06 < 6.250000e-03 [643]\n", + "--- Max DT=3.173676e-01 > 1.000000e-01 [66609]\n", "----------------------------------------------------------------------\n", - " Component | low: 421/100000\n", - " Component | high: 68591/100000\n", + " Component | low: 643/100000\n", + " Component | high: 66609/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=43.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00122563 [ 0.80 %]\n", - "Velocity : 0.00296011 [ 1.93 %]\n", - "Force : 0.0570054 [ 37.21 %]\n", - "Coefs : 0.0226874 [ 14.81 %]\n", - "Output : 0.000976119 [ 0.64 %]\n", - "Levels : 0.000242045 [ 0.16 %]\n", - "Report : 8.45e-07 [ 0.00 %]\n", - "Balance : 4.22e-07 [ 0.00 %]\n", - "Adjust : 0.0680137 [ 44.40 %]\n", - "Total : 0.153186 [100.00 %]\n", + "Drift : 0.00119045 [ 0.85 %]\n", + "Velocity : 0.00376086 [ 2.67 %]\n", + "Force : 0.0500544 [ 35.59 %]\n", + "Coefs : 0.0199246 [ 14.16 %]\n", + "Output : 0.00191305 [ 1.36 %]\n", + "Levels : 0.000284271 [ 0.20 %]\n", + "Report : 7.14e-07 [ 0.00 %]\n", + "Balance : 3.96e-07 [ 0.00 %]\n", + "Adjust : 0.0634807 [ 45.13 %]\n", + "Total : 0.140662 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6238 557 230 56 61 \n", - "1 : 6234 602 180 70 56 \n", - "2 : 6232 569 231 58 52 \n", - "3 : 6233 588 221 54 46 \n", - "4 : 6179 620 244 45 54 \n", - "5 : 6263 557 217 56 49 \n", - "6 : 6209 602 226 57 48 \n", - "7 : 6201 598 236 55 52 \n", - "8 : 6240 593 192 65 52 \n", - "9 : 6226 568 235 44 69 \n", - "10 : 6207 607 212 64 52 \n", - "11 : 6223 597 218 58 46 \n", - "12 : 6219 570 241 52 60 \n", - "13 : 6205 622 206 69 52 \n", + "0 : 5970 704 274 109 85 \n", + "1 : 6006 669 289 97 81 \n", + "2 : 6021 663 247 119 92 \n", + "3 : 6040 655 278 87 82 \n", + "4 : 6018 669 272 96 87 \n", + "5 : 6041 707 225 94 75 \n", + "6 : 5941 734 293 90 84 \n", + "7 : 6001 672 281 99 89 \n", + "8 : 5997 714 261 95 75 \n", + "9 : 6014 699 264 92 73 \n", + "10 : 5994 698 281 89 80 \n", + "11 : 6011 670 281 107 73 \n", + "12 : 5981 706 282 92 81 \n", + "13 : 6056 632 289 100 77 \n", "\n", - "T : 87109 8250 3089 803 749 [100000]\n", + "T : 84091 9592 3817 1366 1134 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.6%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.2648e-02 sec\n", - "--- Collate = 9.2385e-05 sec\n", + "--- Coef/DT = 3.6%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 9.8700e-03 sec\n", + "--- Collate = 6.7030e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.169040e-07 < 6.250000e-03 [430]\n", - "--- Max DT=3.222879e-01 > 1.000000e-01 [68555]\n", + "--- Min DT=1.013928e-07 < 6.250000e-03 [636]\n", + "--- Max DT=3.175255e-01 > 1.000000e-01 [66650]\n", "----------------------------------------------------------------------\n", - " Component | low: 430/100000\n", - " Component | high: 68555/100000\n", + " Component | low: 636/100000\n", + " Component | high: 66650/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=43.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000908959 [ 0.56 %]\n", - "Velocity : 0.00359981 [ 2.23 %]\n", - "Force : 0.0589918 [ 36.54 %]\n", - "Coefs : 0.0241249 [ 14.94 %]\n", - "Output : 0.000971018 [ 0.60 %]\n", - "Levels : 0.000267715 [ 0.17 %]\n", - "Report : 1.172e-06 [ 0.00 %]\n", - "Balance : 4.76e-07 [ 0.00 %]\n", - "Adjust : 0.0725029 [ 44.91 %]\n", - "Total : 0.161427 [100.00 %]\n", + "Drift : 0.00124571 [ 0.89 %]\n", + "Velocity : 0.00363608 [ 2.58 %]\n", + "Force : 0.0501807 [ 35.67 %]\n", + "Coefs : 0.0200138 [ 14.23 %]\n", + "Output : 0.00189535 [ 1.35 %]\n", + "Levels : 0.000289702 [ 0.21 %]\n", + "Report : 6.57e-07 [ 0.00 %]\n", + "Balance : 3.46e-07 [ 0.00 %]\n", + "Adjust : 0.0633585 [ 45.04 %]\n", + "Total : 0.140677 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6231 566 227 54 64 \n", - "1 : 6231 603 184 67 57 \n", - "2 : 6232 562 241 58 49 \n", - "3 : 6235 588 218 52 49 \n", - "4 : 6180 617 250 47 48 \n", - "5 : 6256 558 221 56 51 \n", - "6 : 6215 600 223 56 48 \n", - "7 : 6204 595 230 62 51 \n", - "8 : 6237 595 195 68 47 \n", - "9 : 6224 568 232 51 67 \n", - "10 : 6204 605 215 66 52 \n", - "11 : 6220 601 218 58 45 \n", - "12 : 6216 573 236 58 59 \n", - "13 : 6206 624 206 66 52 \n", + "0 : 5976 694 282 95 95 \n", + "1 : 5998 677 288 90 89 \n", + "2 : 6016 669 247 115 95 \n", + "3 : 6037 660 285 76 84 \n", + "4 : 6005 680 277 91 89 \n", + "5 : 6047 690 240 89 76 \n", + "6 : 5951 721 300 89 81 \n", + "7 : 6003 669 288 95 87 \n", + "8 : 6002 709 259 99 73 \n", + "9 : 6009 715 248 98 72 \n", + "10 : 5999 688 281 95 79 \n", + "11 : 6020 658 281 110 73 \n", + "12 : 5978 705 286 96 77 \n", + "13 : 6048 639 300 87 80 \n", "\n", - "T : 87091 8255 3096 819 739 [100000]\n", + "T : 84089 9574 3862 1325 1150 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.8%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.2244e-02 sec\n", - "--- Collate = 9.2037e-05 sec\n", + "--- Coef/DT = 4.2%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 9.8554e-03 sec\n", + "--- Collate = 7.4514e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.888128e-05 < 6.250000e-03 [429]\n", - "--- Max DT=3.230955e-01 > 1.000000e-01 [68540]\n", + "--- Min DT=1.095326e-05 < 6.250000e-03 [629]\n", + "--- Max DT=3.176897e-01 > 1.000000e-01 [66690]\n", "----------------------------------------------------------------------\n", - " Component | low: 429/100000\n", - " Component | high: 68540/100000\n", + " Component | low: 629/100000\n", + " Component | high: 66690/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=43.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00107216 [ 0.64 %]\n", - "Velocity : 0.00360898 [ 2.16 %]\n", - "Force : 0.0635985 [ 38.02 %]\n", - "Coefs : 0.0260949 [ 15.60 %]\n", - "Output : 0.00108286 [ 0.65 %]\n", - "Levels : 0.000314522 [ 0.19 %]\n", - "Report : 1.095e-06 [ 0.00 %]\n", - "Balance : 3.83e-07 [ 0.00 %]\n", - "Adjust : 0.0714549 [ 42.71 %]\n", - "Total : 0.167285 [100.00 %]\n", + "Drift : 0.00119955 [ 0.84 %]\n", + "Velocity : 0.00369803 [ 2.60 %]\n", + "Force : 0.0510188 [ 35.81 %]\n", + "Coefs : 0.0198002 [ 13.90 %]\n", + "Output : 0.00191693 [ 1.35 %]\n", + "Levels : 0.00031418 [ 0.22 %]\n", + "Report : 5.35e-07 [ 0.00 %]\n", + "Balance : 3.99e-07 [ 0.00 %]\n", + "Adjust : 0.0644824 [ 45.26 %]\n", + "Total : 0.142482 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6227 565 237 58 55 \n", - "1 : 6233 599 183 71 56 \n", - "2 : 6231 567 236 62 46 \n", - "3 : 6240 584 214 58 46 \n", - "4 : 6184 611 254 42 51 \n", - "5 : 6252 568 216 55 51 \n", - "6 : 6219 591 230 51 51 \n", - "7 : 6209 585 239 59 50 \n", - "8 : 6229 607 194 65 47 \n", - "9 : 6223 564 237 53 65 \n", - "10 : 6199 613 213 65 52 \n", - "11 : 6214 611 213 57 47 \n", - "12 : 6217 570 240 57 58 \n", - "13 : 6209 626 195 74 50 \n", + "0 : 5977 693 280 98 94 \n", + "1 : 6002 676 288 89 87 \n", + "2 : 6015 670 256 104 97 \n", + "3 : 6031 670 274 90 77 \n", + "4 : 6006 675 280 98 83 \n", + "5 : 6046 685 244 93 74 \n", + "6 : 5953 716 298 100 75 \n", + "7 : 6004 671 287 96 84 \n", + "8 : 5996 704 268 97 77 \n", + "9 : 6007 714 248 96 77 \n", + "10 : 5993 693 281 92 83 \n", + "11 : 6012 663 287 101 79 \n", + "12 : 5971 715 282 94 80 \n", + "13 : 6043 649 296 77 89 \n", "\n", - "T : 87086 8261 3101 827 725 [100000]\n", + "T : 84056 9594 3869 1325 1156 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.9%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.1603e-02 sec\n", - "--- Collate = 9.9582e-05 sec\n", + "--- Coef/DT = 4.0%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 1.0177e-02 sec\n", + "--- Collate = 7.4230e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.580616e-06 < 6.250000e-03 [424]\n", - "--- Max DT=3.238858e-01 > 1.000000e-01 [68544]\n", + "--- Min DT=2.005832e-06 < 6.250000e-03 [649]\n", + "--- Max DT=3.178481e-01 > 1.000000e-01 [66750]\n", "----------------------------------------------------------------------\n", - " Component | low: 424/100000\n", - " Component | high: 68544/100000\n", + " Component | low: 649/100000\n", + " Component | high: 66750/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=43.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000921397 [ 0.63 %]\n", - "Velocity : 0.0032005 [ 2.19 %]\n", - "Force : 0.0560085 [ 38.33 %]\n", - "Coefs : 0.022429 [ 15.35 %]\n", - "Output : 0.000939085 [ 0.64 %]\n", - "Levels : 0.00022994 [ 0.16 %]\n", - "Report : 9.21e-07 [ 0.00 %]\n", - "Balance : 3.03e-07 [ 0.00 %]\n", - "Adjust : 0.0623467 [ 42.66 %]\n", - "Total : 0.146132 [100.00 %]\n", + "Drift : 0.00124054 [ 0.86 %]\n", + "Velocity : 0.00385237 [ 2.66 %]\n", + "Force : 0.0509213 [ 35.19 %]\n", + "Coefs : 0.0199713 [ 13.80 %]\n", + "Output : 0.00183267 [ 1.27 %]\n", + "Levels : 0.000262866 [ 0.18 %]\n", + "Report : 4.89e-07 [ 0.00 %]\n", + "Balance : 3.48e-07 [ 0.00 %]\n", + "Adjust : 0.0665708 [ 46.00 %]\n", + "Total : 0.144705 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6221 573 236 57 55 \n", - "1 : 6240 595 182 68 57 \n", - "2 : 6236 564 238 59 45 \n", - "3 : 6241 580 217 61 43 \n", - "4 : 6185 608 254 47 48 \n", - "5 : 6251 564 219 53 55 \n", - "6 : 6217 590 231 51 53 \n", - "7 : 6198 597 235 65 47 \n", - "8 : 6229 604 200 56 53 \n", - "9 : 6226 563 233 57 63 \n", - "10 : 6200 604 217 75 46 \n", - "11 : 6217 610 210 58 47 \n", - "12 : 6219 568 239 60 56 \n", - "13 : 6212 614 209 68 51 \n", + "0 : 5969 699 283 97 94 \n", + "1 : 5995 678 296 85 88 \n", + "2 : 6010 676 253 103 100 \n", + "3 : 6023 674 278 94 73 \n", + "4 : 6002 673 284 102 81 \n", + "5 : 6042 683 251 85 81 \n", + "6 : 5940 721 310 94 77 \n", + "7 : 6009 670 280 104 79 \n", + "8 : 5989 714 265 100 74 \n", + "9 : 6005 733 228 97 79 \n", + "10 : 5994 686 280 96 86 \n", + "11 : 6003 664 297 102 76 \n", + "12 : 5973 719 279 94 77 \n", + "13 : 6043 648 285 91 87 \n", "\n", - "T : 87092 8234 3120 835 719 [100000]\n", + "T : 83997 9638 3869 1344 1152 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.9%\n", - "--- Adj/Tot = 0.8%\n", - "--- Update = 1.0330e-02 sec\n", - "--- Collate = 9.0579e-05 sec\n", + "--- Coef/DT = 3.6%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 9.7439e-03 sec\n", + "--- Collate = 6.4493e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.002375e-06 < 6.250000e-03 [430]\n", - "--- Max DT=3.246619e-01 > 1.000000e-01 [68524]\n", + "--- Min DT=3.280501e-05 < 6.250000e-03 [651]\n", + "--- Max DT=3.179978e-01 > 1.000000e-01 [66780]\n", "----------------------------------------------------------------------\n", - " Component | low: 430/100000\n", - " Component | high: 68524/100000\n", + " Component | low: 651/100000\n", + " Component | high: 66780/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=43.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000995301 [ 0.71 %]\n", - "Velocity : 0.00329763 [ 2.34 %]\n", - "Force : 0.0530071 [ 37.63 %]\n", - "Coefs : 0.0224182 [ 15.91 %]\n", - "Output : 0.000895248 [ 0.64 %]\n", - "Levels : 0.00021949 [ 0.16 %]\n", - "Report : 6.37e-07 [ 0.00 %]\n", - "Balance : 2.3e-07 [ 0.00 %]\n", - "Adjust : 0.0599956 [ 42.59 %]\n", - "Total : 0.140882 [100.00 %]\n", + "Drift : 0.00120849 [ 0.84 %]\n", + "Velocity : 0.00378573 [ 2.64 %]\n", + "Force : 0.0509092 [ 35.44 %]\n", + "Coefs : 0.020254 [ 14.10 %]\n", + "Output : 0.00184115 [ 1.28 %]\n", + "Levels : 0.000246804 [ 0.17 %]\n", + "Report : 5.69e-07 [ 0.00 %]\n", + "Balance : 3.94e-07 [ 0.00 %]\n", + "Adjust : 0.0653366 [ 45.49 %]\n", + "Total : 0.143636 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6220 577 241 55 49 \n", - "1 : 6247 590 179 67 59 \n", - "2 : 6234 567 235 59 47 \n", - "3 : 6247 567 226 58 44 \n", - "4 : 6187 610 250 50 45 \n", - "5 : 6261 551 219 57 54 \n", - "6 : 6213 592 237 47 53 \n", - "7 : 6204 590 237 65 46 \n", - "8 : 6225 604 202 58 53 \n", - "9 : 6220 568 231 59 64 \n", - "10 : 6197 611 216 66 52 \n", - "11 : 6223 599 212 62 46 \n", - "12 : 6226 561 236 57 62 \n", - "13 : 6207 621 205 72 49 \n", + "0 : 5954 706 292 91 99 \n", + "1 : 6000 664 308 85 85 \n", + "2 : 6008 683 248 102 101 \n", + "3 : 6027 684 265 91 75 \n", + "4 : 6011 661 289 105 76 \n", + "5 : 6038 687 252 91 74 \n", + "6 : 5940 721 301 103 77 \n", + "7 : 6007 678 280 101 76 \n", + "8 : 5992 706 276 93 75 \n", + "9 : 6005 726 241 92 78 \n", + "10 : 5998 680 280 98 86 \n", + "11 : 5996 674 297 103 72 \n", + "12 : 5966 728 276 101 71 \n", + "13 : 6037 658 283 94 82 \n", "\n", - "T : 87111 8208 3126 832 723 [100000]\n", + "T : 83979 9656 3888 1350 1127 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.6%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.2281e-02 sec\n", - "--- Collate = 9.4602e-05 sec\n", + "--- Coef/DT = 3.2%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 1.0392e-02 sec\n", + "--- Collate = 7.1661e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.665375e-06 < 6.250000e-03 [426]\n", - "--- Max DT=3.254183e-01 > 1.000000e-01 [68494]\n", + "--- Min DT=5.023058e-07 < 6.250000e-03 [644]\n", + "--- Max DT=3.181442e-01 > 1.000000e-01 [66790]\n", "----------------------------------------------------------------------\n", - " Component | low: 426/100000\n", - " Component | high: 68494/100000\n", + " Component | low: 644/100000\n", + " Component | high: 66790/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=43.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00101555 [ 0.61 %]\n", - "Velocity : 0.00297852 [ 1.80 %]\n", - "Force : 0.0617907 [ 37.40 %]\n", - "Coefs : 0.0237721 [ 14.39 %]\n", - "Output : 0.000931339 [ 0.56 %]\n", - "Levels : 0.000245261 [ 0.15 %]\n", - "Report : 9.3e-07 [ 0.00 %]\n", - "Balance : 2.31e-07 [ 0.00 %]\n", - "Adjust : 0.0744312 [ 45.05 %]\n", - "Total : 0.165219 [100.00 %]\n", + "Drift : 0.0011867 [ 0.83 %]\n", + "Velocity : 0.00369582 [ 2.57 %]\n", + "Force : 0.0514653 [ 35.81 %]\n", + "Coefs : 0.0200779 [ 13.97 %]\n", + "Output : 0.00187638 [ 1.31 %]\n", + "Levels : 0.000303104 [ 0.21 %]\n", + "Report : 6.98e-07 [ 0.00 %]\n", + "Balance : 3.58e-07 [ 0.00 %]\n", + "Adjust : 0.0650757 [ 45.28 %]\n", + "Total : 0.143734 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6221 579 234 59 49 \n", - "1 : 6248 591 173 71 59 \n", - "2 : 6238 564 237 57 46 \n", - "3 : 6248 566 225 61 42 \n", - "4 : 6189 605 250 52 46 \n", - "5 : 6261 548 224 56 53 \n", - "6 : 6217 591 237 48 49 \n", - "7 : 6201 587 244 67 43 \n", - "8 : 6226 596 212 53 55 \n", - "9 : 6217 573 234 60 58 \n", - "10 : 6194 617 204 70 57 \n", - "11 : 6220 602 213 63 44 \n", - "12 : 6228 558 234 63 59 \n", - "13 : 6212 611 212 69 50 \n", + "0 : 5955 707 291 90 99 \n", + "1 : 5995 678 298 88 83 \n", + "2 : 6006 686 249 99 102 \n", + "3 : 6019 689 276 81 77 \n", + "4 : 6013 658 295 99 77 \n", + "5 : 6029 685 261 92 75 \n", + "6 : 5939 729 300 92 82 \n", + "7 : 6005 686 270 100 81 \n", + "8 : 5991 698 287 88 78 \n", + "9 : 5998 731 250 84 79 \n", + "10 : 5991 683 286 97 85 \n", + "11 : 6002 663 298 105 74 \n", + "12 : 5965 725 283 99 70 \n", + "13 : 6034 661 279 100 80 \n", "\n", - "T : 87120 8188 3133 849 710 [100000]\n", + "T : 83942 9679 3923 1314 1142 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.6%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.5550e-02 sec\n", - "--- Collate = 8.4874e-05 sec\n", + "--- Coef/DT = 3.8%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 1.0013e-02 sec\n", + "--- Collate = 8.6525e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.554073e-05 < 6.250000e-03 [419]\n", - "--- Max DT=3.261568e-01 > 1.000000e-01 [68509]\n", + "--- Min DT=3.426465e-06 < 6.250000e-03 [645]\n", + "--- Max DT=3.182923e-01 > 1.000000e-01 [66796]\n", "----------------------------------------------------------------------\n", - " Component | low: 419/100000\n", - " Component | high: 68509/100000\n", + " Component | low: 645/100000\n", + " Component | high: 66796/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=43.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00101666 [ 0.60 %]\n", - "Velocity : 0.0035072 [ 2.08 %]\n", - "Force : 0.0617659 [ 36.69 %]\n", - "Coefs : 0.0252812 [ 15.02 %]\n", - "Output : 0.00103637 [ 0.62 %]\n", - "Levels : 0.000297416 [ 0.18 %]\n", - "Report : 9.44e-07 [ 0.00 %]\n", - "Balance : 2.97e-07 [ 0.00 %]\n", - "Adjust : 0.0753942 [ 44.78 %]\n", - "Total : 0.168356 [100.00 %]\n", + "Drift : 0.00127962 [ 0.89 %]\n", + "Velocity : 0.00380093 [ 2.64 %]\n", + "Force : 0.0515124 [ 35.72 %]\n", + "Coefs : 0.0203494 [ 14.11 %]\n", + "Output : 0.00187788 [ 1.30 %]\n", + "Levels : 0.000289884 [ 0.20 %]\n", + "Report : 7.13e-07 [ 0.00 %]\n", + "Balance : 3.66e-07 [ 0.00 %]\n", + "Adjust : 0.0650301 [ 45.10 %]\n", + "Total : 0.144196 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6218 584 231 58 51 \n", - "1 : 6253 593 171 66 59 \n", - "2 : 6239 562 239 59 43 \n", - "3 : 6249 560 230 59 44 \n", - "4 : 6198 595 259 43 47 \n", - "5 : 6261 539 233 59 50 \n", - "6 : 6223 584 235 50 50 \n", - "7 : 6203 585 249 60 45 \n", - "8 : 6225 595 214 56 52 \n", - "9 : 6212 578 234 62 56 \n", - "10 : 6192 623 199 65 63 \n", - "11 : 6220 601 221 58 42 \n", - "12 : 6224 554 243 60 61 \n", - "13 : 6213 612 212 64 53 \n", + "0 : 5952 699 308 88 95 \n", + "1 : 6003 668 297 92 82 \n", + "2 : 6009 680 250 103 100 \n", + "3 : 6017 691 274 80 80 \n", + "4 : 6020 655 288 99 80 \n", + "5 : 6020 679 278 91 74 \n", + "6 : 5930 735 300 97 80 \n", + "7 : 6003 692 272 98 77 \n", + "8 : 5987 699 296 86 74 \n", + "9 : 5995 738 245 87 77 \n", + "10 : 5985 689 282 103 83 \n", + "11 : 5998 668 295 102 79 \n", + "12 : 5962 726 285 94 75 \n", + "13 : 6022 676 271 102 83 \n", "\n", - "T : 87130 8165 3170 819 716 [100000]\n", + "T : 83903 9695 3941 1322 1139 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.6%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.2694e-02 sec\n", - "--- Collate = 9.3608e-05 sec\n", + "--- Coef/DT = 3.3%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 9.7697e-03 sec\n", + "--- Collate = 6.9283e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.371756e-05 < 6.250000e-03 [402]\n", - "--- Max DT=3.268807e-01 > 1.000000e-01 [68498]\n", + "--- Min DT=1.205268e-07 < 6.250000e-03 [649]\n", + "--- Max DT=3.184276e-01 > 1.000000e-01 [66816]\n", "----------------------------------------------------------------------\n", - " Component | low: 402/100000\n", - " Component | high: 68498/100000\n", + " Component | low: 649/100000\n", + " Component | high: 66816/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=43.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000685741 [ 0.42 %]\n", - "Velocity : 0.0029527 [ 1.80 %]\n", - "Force : 0.0599256 [ 36.62 %]\n", - "Coefs : 0.0245101 [ 14.98 %]\n", - "Output : 0.000986303 [ 0.60 %]\n", - "Levels : 0.0002763 [ 0.17 %]\n", - "Report : 8.22e-07 [ 0.00 %]\n", - "Balance : 4.31e-07 [ 0.00 %]\n", - "Adjust : 0.0742365 [ 45.37 %]\n", - "Total : 0.163631 [100.00 %]\n", + "Drift : 0.00123446 [ 0.88 %]\n", + "Velocity : 0.00369219 [ 2.62 %]\n", + "Force : 0.0509349 [ 36.11 %]\n", + "Coefs : 0.0201204 [ 14.26 %]\n", + "Output : 0.00184113 [ 1.31 %]\n", + "Levels : 0.000325903 [ 0.23 %]\n", + "Report : 8.59e-07 [ 0.00 %]\n", + "Balance : 3.86e-07 [ 0.00 %]\n", + "Adjust : 0.0628435 [ 44.55 %]\n", + "Total : 0.141049 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6217 585 231 59 50 \n", - "1 : 6254 588 179 62 59 \n", - "2 : 6245 561 239 57 40 \n", - "3 : 6249 561 221 68 43 \n", - "4 : 6192 601 253 54 42 \n", - "5 : 6254 545 231 60 52 \n", - "6 : 6224 575 237 51 55 \n", - "7 : 6207 579 251 58 47 \n", - "8 : 6223 596 217 58 48 \n", - "9 : 6215 571 243 54 59 \n", - "10 : 6194 619 206 57 66 \n", - "11 : 6221 593 233 50 45 \n", - "12 : 6226 555 238 63 60 \n", - "13 : 6218 610 211 62 53 \n", + "0 : 5949 704 303 89 97 \n", + "1 : 5999 674 289 100 80 \n", + "2 : 6003 685 249 115 90 \n", + "3 : 6017 692 274 77 82 \n", + "4 : 6012 661 290 98 81 \n", + "5 : 6009 692 273 96 72 \n", + "6 : 5925 733 306 104 74 \n", + "7 : 6007 682 281 90 82 \n", + "8 : 5982 698 297 89 76 \n", + "9 : 5993 739 244 85 81 \n", + "10 : 5978 701 272 106 85 \n", + "11 : 6004 665 281 105 87 \n", + "12 : 5957 731 284 97 73 \n", + "13 : 6018 679 267 109 81 \n", "\n", - "T : 87139 8139 3190 813 719 [100000]\n", + "T : 83853 9736 3910 1360 1141 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.6577e-02 sec\n", - "--- Collate = 7.7229e-05 sec\n", + "--- Coef/DT = 3.4%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 9.7122e-03 sec\n", + "--- Collate = 9.0359e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.913079e-07 < 6.250000e-03 [390]\n", - "--- Max DT=3.275909e-01 > 1.000000e-01 [68486]\n", + "--- Min DT=2.594086e-06 < 6.250000e-03 [606]\n", + "--- Max DT=3.185582e-01 > 1.000000e-01 [66857]\n", "----------------------------------------------------------------------\n", - " Component | low: 390/100000\n", - " Component | high: 68486/100000\n", + " Component | low: 606/100000\n", + " Component | high: 66857/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=43.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00113461 [ 0.63 %]\n", - "Velocity : 0.0035244 [ 1.95 %]\n", - "Force : 0.0644329 [ 35.72 %]\n", - "Coefs : 0.0272998 [ 15.13 %]\n", - "Output : 0.00118013 [ 0.65 %]\n", - "Levels : 0.000221132 [ 0.12 %]\n", - "Report : 9.08e-07 [ 0.00 %]\n", - "Balance : 3.29e-07 [ 0.00 %]\n", - "Adjust : 0.0825413 [ 45.76 %]\n", - "Total : 0.180393 [100.00 %]\n", + "Drift : 0.00118776 [ 0.84 %]\n", + "Velocity : 0.00378217 [ 2.67 %]\n", + "Force : 0.0507236 [ 35.75 %]\n", + "Coefs : 0.020032 [ 14.12 %]\n", + "Output : 0.00189727 [ 1.34 %]\n", + "Levels : 0.000259892 [ 0.18 %]\n", + "Report : 5.22e-07 [ 0.00 %]\n", + "Balance : 3.99e-07 [ 0.00 %]\n", + "Adjust : 0.0639524 [ 45.07 %]\n", + "Total : 0.141888 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6219 585 229 59 50 \n", - "1 : 6255 583 183 62 59 \n", - "2 : 6246 571 226 54 45 \n", - "3 : 6248 561 222 66 45 \n", - "4 : 6192 606 255 42 47 \n", - "5 : 6260 538 233 62 49 \n", - "6 : 6227 563 244 58 50 \n", - "7 : 6204 583 249 61 45 \n", - "8 : 6227 594 212 57 52 \n", - "9 : 6211 573 241 60 57 \n", - "10 : 6195 618 205 60 64 \n", - "11 : 6218 598 234 49 43 \n", - "12 : 6222 561 235 69 55 \n", - "13 : 6221 613 203 66 51 \n", + "0 : 5933 721 298 100 90 \n", + "1 : 5996 671 291 112 72 \n", + "2 : 6004 677 262 119 80 \n", + "3 : 6013 698 273 73 85 \n", + "4 : 6001 672 292 92 85 \n", + "5 : 6009 692 278 93 70 \n", + "6 : 5928 727 311 93 83 \n", + "7 : 6004 689 277 94 78 \n", + "8 : 5989 682 302 91 78 \n", + "9 : 5978 754 245 78 87 \n", + "10 : 5982 701 265 107 87 \n", + "11 : 6003 672 277 95 95 \n", + "12 : 5956 727 286 99 74 \n", + "13 : 6022 671 273 109 79 \n", "\n", - "T : 87145 8147 3171 825 712 [100000]\n", + "T : 83818 9754 3930 1355 1143 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.1%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.4522e-02 sec\n", - "--- Collate = 1.7844e-04 sec\n", + "--- Coef/DT = 3.4%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 9.6931e-03 sec\n", + "--- Collate = 6.5146e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.463165e-06 < 6.250000e-03 [394]\n", - "--- Max DT=3.282936e-01 > 1.000000e-01 [68476]\n", + "--- Min DT=1.283683e-06 < 6.250000e-03 [599]\n", + "--- Max DT=3.186902e-01 > 1.000000e-01 [66879]\n", "----------------------------------------------------------------------\n", - " Component | low: 394/100000\n", - " Component | high: 68476/100000\n", + " Component | low: 599/100000\n", + " Component | high: 66879/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=44] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000786849 [ 0.36 %]\n", - "Velocity : 0.00355859 [ 1.64 %]\n", - "Force : 0.0743385 [ 34.31 %]\n", - "Coefs : 0.0430855 [ 19.88 %]\n", - "Output : 0.00771063 [ 3.56 %]\n", - "Levels : 0.000281213 [ 0.13 %]\n", - "Report : 1.489e-06 [ 0.00 %]\n", - "Balance : 1.058e-06 [ 0.00 %]\n", - "Adjust : 0.0868596 [ 40.09 %]\n", - "Total : 0.216679 [100.00 %]\n", + "Drift : 0.00120353 [ 0.83 %]\n", + "Velocity : 0.0036769 [ 2.52 %]\n", + "Force : 0.0504354 [ 34.58 %]\n", + "Coefs : 0.0199591 [ 13.69 %]\n", + "Output : 0.00686188 [ 4.71 %]\n", + "Levels : 0.000263648 [ 0.18 %]\n", + "Report : 1.656e-06 [ 0.00 %]\n", + "Balance : 7.43e-07 [ 0.00 %]\n", + "Adjust : 0.0633786 [ 43.46 %]\n", + "Total : 0.145833 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6225 579 230 62 46 \n", - "1 : 6261 572 195 53 61 \n", - "2 : 6248 566 236 51 41 \n", - "3 : 6247 562 220 66 47 \n", - "4 : 6186 615 253 44 44 \n", - "5 : 6255 544 235 59 49 \n", - "6 : 6225 573 236 58 50 \n", - "7 : 6206 581 250 58 47 \n", - "8 : 6231 594 207 60 50 \n", - "9 : 6208 579 241 55 59 \n", - "10 : 6200 617 200 63 62 \n", - "11 : 6218 600 233 45 46 \n", - "12 : 6216 573 229 68 56 \n", - "13 : 6222 616 199 66 51 \n", + "0 : 5933 716 302 109 82 \n", + "1 : 6005 655 305 98 79 \n", + "2 : 6000 676 267 118 81 \n", + "3 : 6007 698 273 81 83 \n", + "4 : 5995 669 309 82 87 \n", + "5 : 6011 682 280 92 77 \n", + "6 : 5925 729 307 98 83 \n", + "7 : 5995 692 285 94 76 \n", + "8 : 5991 676 305 91 79 \n", + "9 : 5984 747 250 78 83 \n", + "10 : 5977 691 278 111 85 \n", + "11 : 6003 670 274 98 97 \n", + "12 : 5961 726 279 105 71 \n", + "13 : 6022 670 279 103 80 \n", "\n", - "T : 87148 8171 3164 808 709 [100000]\n", + "T : 83809 9697 3993 1358 1143 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.3150e-02 sec\n", - "--- Collate = 9.0752e-05 sec\n", + "--- Coef/DT = 3.6%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 9.6812e-03 sec\n", + "--- Collate = 6.4852e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.040516e-06 < 6.250000e-03 [397]\n", - "--- Max DT=3.289855e-01 > 1.000000e-01 [68462]\n", + "--- Min DT=9.382909e-06 < 6.250000e-03 [612]\n", + "--- Max DT=3.188231e-01 > 1.000000e-01 [66892]\n", "----------------------------------------------------------------------\n", - " Component | low: 397/100000\n", - " Component | high: 68462/100000\n", + " Component | low: 612/100000\n", + " Component | high: 66892/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=44.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000947446 [ 0.55 %]\n", - "Velocity : 0.00326669 [ 1.89 %]\n", - "Force : 0.0605345 [ 35.08 %]\n", - "Coefs : 0.0304184 [ 17.63 %]\n", - "Output : 0.00111276 [ 0.64 %]\n", - "Levels : 0.000236868 [ 0.14 %]\n", - "Report : 9.22e-07 [ 0.00 %]\n", - "Balance : 4.84e-07 [ 0.00 %]\n", - "Adjust : 0.0759897 [ 44.04 %]\n", - "Total : 0.172562 [100.00 %]\n", + "Drift : 0.00119989 [ 0.85 %]\n", + "Velocity : 0.00376479 [ 2.67 %]\n", + "Force : 0.050347 [ 35.65 %]\n", + "Coefs : 0.0199638 [ 14.14 %]\n", + "Output : 0.00187302 [ 1.33 %]\n", + "Levels : 0.000799369 [ 0.57 %]\n", + "Report : 6.5e-07 [ 0.00 %]\n", + "Balance : 5.29e-07 [ 0.00 %]\n", + "Adjust : 0.0632103 [ 44.76 %]\n", + "Total : 0.141215 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6231 573 229 60 49 \n", - "1 : 6253 582 197 53 57 \n", - "2 : 6242 569 238 52 41 \n", - "3 : 6253 551 223 65 50 \n", - "4 : 6190 618 246 41 47 \n", - "5 : 6258 540 228 61 55 \n", - "6 : 6221 578 234 57 52 \n", - "7 : 6207 583 243 60 49 \n", - "8 : 6230 601 204 58 49 \n", - "9 : 6209 572 249 54 58 \n", - "10 : 6206 615 196 63 62 \n", - "11 : 6211 604 239 42 46 \n", - "12 : 6209 577 236 62 58 \n", - "13 : 6219 616 205 63 51 \n", + "0 : 5935 717 299 112 79 \n", + "1 : 5997 670 291 109 75 \n", + "2 : 5990 685 270 120 77 \n", + "3 : 6008 703 264 86 81 \n", + "4 : 5998 671 295 94 84 \n", + "5 : 6011 681 277 99 74 \n", + "6 : 5929 727 304 92 90 \n", + "7 : 6001 690 282 96 73 \n", + "8 : 5994 675 300 97 76 \n", + "9 : 5985 737 260 79 81 \n", + "10 : 5973 687 299 96 87 \n", + "11 : 5998 676 271 106 91 \n", + "12 : 5960 724 284 103 71 \n", + "13 : 6028 663 280 96 87 \n", "\n", - "T : 87139 8179 3167 791 724 [100000]\n", + "T : 83807 9706 3976 1385 1126 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.1753e-02 sec\n", - "--- Collate = 8.1312e-05 sec\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 9.8453e-03 sec\n", + "--- Collate = 6.7208e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.488556e-06 < 6.250000e-03 [395]\n", - "--- Max DT=3.296682e-01 > 1.000000e-01 [68422]\n", + "--- Min DT=8.265836e-07 < 6.250000e-03 [614]\n", + "--- Max DT=3.189507e-01 > 1.000000e-01 [66940]\n", "----------------------------------------------------------------------\n", - " Component | low: 395/100000\n", - " Component | high: 68422/100000\n", + " Component | low: 614/100000\n", + " Component | high: 66940/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=44.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0012303 [ 0.73 %]\n", - "Velocity : 0.00330519 [ 1.96 %]\n", - "Force : 0.0634547 [ 37.61 %]\n", - "Coefs : 0.0253023 [ 15.00 %]\n", - "Output : 0.00107791 [ 0.64 %]\n", - "Levels : 0.000374096 [ 0.22 %]\n", - "Report : 9.63e-07 [ 0.00 %]\n", - "Balance : 4.39e-07 [ 0.00 %]\n", - "Adjust : 0.0739105 [ 43.81 %]\n", - "Total : 0.168719 [100.00 %]\n", + "Drift : 0.00118628 [ 0.84 %]\n", + "Velocity : 0.00364643 [ 2.58 %]\n", + "Force : 0.0502957 [ 35.61 %]\n", + "Coefs : 0.0198664 [ 14.06 %]\n", + "Output : 0.00185304 [ 1.31 %]\n", + "Levels : 0.000308913 [ 0.22 %]\n", + "Report : 5.79e-07 [ 0.00 %]\n", + "Balance : 3.86e-07 [ 0.00 %]\n", + "Adjust : 0.0640485 [ 45.34 %]\n", + "Total : 0.141258 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6238 566 230 61 47 \n", - "1 : 6257 574 201 50 60 \n", - "2 : 6254 552 243 50 43 \n", - "3 : 6250 556 216 67 53 \n", - "4 : 6190 622 237 50 43 \n", - "5 : 6255 544 225 64 54 \n", - "6 : 6221 578 227 71 45 \n", - "7 : 6210 583 239 62 48 \n", - "8 : 6230 596 209 60 47 \n", - "9 : 6209 566 255 61 51 \n", - "10 : 6206 612 199 62 63 \n", - "11 : 6214 599 239 44 46 \n", - "12 : 6206 575 240 66 55 \n", - "13 : 6225 608 215 57 49 \n", + "0 : 5932 721 294 120 75 \n", + "1 : 5998 678 291 95 80 \n", + "2 : 5990 686 272 111 83 \n", + "3 : 6005 708 256 90 83 \n", + "4 : 5988 688 290 89 87 \n", + "5 : 6006 689 274 101 72 \n", + "6 : 5919 730 306 96 91 \n", + "7 : 5999 697 277 94 75 \n", + "8 : 5989 680 298 93 82 \n", + "9 : 5989 726 259 85 83 \n", + "10 : 5968 698 287 105 84 \n", + "11 : 6006 665 274 101 96 \n", + "12 : 5967 706 298 107 64 \n", + "13 : 6023 669 278 99 85 \n", "\n", - "T : 87165 8131 3175 825 704 [100000]\n", + "T : 83779 9741 3954 1386 1140 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.2%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.1346e-02 sec\n", - "--- Collate = 1.2778e-04 sec\n", + "--- Coef/DT = 3.4%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 9.9100e-03 sec\n", + "--- Collate = 7.4706e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.498452e-06 < 6.250000e-03 [395]\n", - "--- Max DT=3.303328e-01 > 1.000000e-01 [68382]\n", + "--- Min DT=3.295945e-06 < 6.250000e-03 [625]\n", + "--- Max DT=3.190749e-01 > 1.000000e-01 [66959]\n", "----------------------------------------------------------------------\n", - " Component | low: 395/100000\n", - " Component | high: 68382/100000\n", + " Component | low: 625/100000\n", + " Component | high: 66959/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=44.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000906418 [ 0.57 %]\n", - "Velocity : 0.00290243 [ 1.83 %]\n", - "Force : 0.0574867 [ 36.32 %]\n", - "Coefs : 0.026143 [ 16.52 %]\n", - "Output : 0.00103179 [ 0.65 %]\n", - "Levels : 0.000242491 [ 0.15 %]\n", - "Report : 9.51e-07 [ 0.00 %]\n", - "Balance : 3.29e-07 [ 0.00 %]\n", - "Adjust : 0.0695102 [ 43.92 %]\n", - "Total : 0.158278 [100.00 %]\n", + "Drift : 0.00119205 [ 0.85 %]\n", + "Velocity : 0.00365941 [ 2.61 %]\n", + "Force : 0.0501534 [ 35.76 %]\n", + "Coefs : 0.0200032 [ 14.26 %]\n", + "Output : 0.00181765 [ 1.30 %]\n", + "Levels : 0.000284801 [ 0.20 %]\n", + "Report : 5.69e-07 [ 0.00 %]\n", + "Balance : 3.82e-07 [ 0.00 %]\n", + "Adjust : 0.0630977 [ 44.99 %]\n", + "Total : 0.140261 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6238 575 220 56 53 \n", - "1 : 6255 578 203 49 57 \n", - "2 : 6252 561 230 59 40 \n", - "3 : 6257 547 217 65 56 \n", - "4 : 6188 622 238 53 41 \n", - "5 : 6257 541 231 60 53 \n", - "6 : 6217 583 227 66 49 \n", - "7 : 6215 579 240 60 48 \n", - "8 : 6237 594 214 52 45 \n", - "9 : 6212 561 256 63 50 \n", - "10 : 6210 610 189 75 58 \n", - "11 : 6214 606 231 50 41 \n", - "12 : 6208 576 242 60 56 \n", - "13 : 6227 605 214 62 46 \n", + "0 : 5933 731 292 116 70 \n", + "1 : 5995 682 289 91 85 \n", + "2 : 5995 686 266 115 80 \n", + "3 : 6004 704 264 93 77 \n", + "4 : 5975 701 297 89 80 \n", + "5 : 6005 675 289 105 68 \n", + "6 : 5905 735 312 98 92 \n", + "7 : 5992 699 277 101 73 \n", + "8 : 5978 683 306 99 76 \n", + "9 : 5993 716 261 95 77 \n", + "10 : 5975 686 289 108 84 \n", + "11 : 5998 678 263 111 92 \n", + "12 : 5967 708 295 104 68 \n", + "13 : 6015 676 285 91 87 \n", "\n", - "T : 87187 8138 3152 830 693 [100000]\n", + "T : 83730 9760 3985 1416 1109 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.6%\n", - "--- Adj/Tot = 0.9%\n", - "--- Update = 1.4654e-02 sec\n", - "--- Collate = 8.7867e-05 sec\n", + "--- Coef/DT = 3.1%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 9.5975e-03 sec\n", + "--- Collate = 6.9338e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.530819e-06 < 6.250000e-03 [392]\n", - "--- Max DT=3.309855e-01 > 1.000000e-01 [68380]\n", + "--- Min DT=3.114015e-08 < 6.250000e-03 [615]\n", + "--- Max DT=3.192002e-01 > 1.000000e-01 [66980]\n", "----------------------------------------------------------------------\n", - " Component | low: 392/100000\n", - " Component | high: 68380/100000\n", + " Component | low: 615/100000\n", + " Component | high: 66980/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=44.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00109286 [ 0.66 %]\n", - "Velocity : 0.00353835 [ 2.15 %]\n", - "Force : 0.0583331 [ 35.45 %]\n", - "Coefs : 0.025895 [ 15.74 %]\n", - "Output : 0.00106788 [ 0.65 %]\n", - "Levels : 0.000246523 [ 0.15 %]\n", - "Report : 1.246e-06 [ 0.00 %]\n", - "Balance : 4.22e-07 [ 0.00 %]\n", - "Adjust : 0.0743245 [ 45.17 %]\n", - "Total : 0.164556 [100.00 %]\n", + "Drift : 0.00122763 [ 0.87 %]\n", + "Velocity : 0.00371814 [ 2.63 %]\n", + "Force : 0.0503917 [ 35.68 %]\n", + "Coefs : 0.0198202 [ 14.03 %]\n", + "Output : 0.00182425 [ 1.29 %]\n", + "Levels : 0.000246675 [ 0.17 %]\n", + "Report : 7.48e-07 [ 0.00 %]\n", + "Balance : 3.64e-07 [ 0.00 %]\n", + "Adjust : 0.0639448 [ 45.28 %]\n", + "Total : 0.141228 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6237 581 212 61 51 \n", - "1 : 6248 583 207 53 51 \n", - "2 : 6254 559 229 59 41 \n", - "3 : 6253 556 209 68 56 \n", - "4 : 6194 613 243 57 35 \n", - "5 : 6258 546 218 64 56 \n", - "6 : 6216 583 231 58 54 \n", - "7 : 6211 585 241 55 50 \n", - "8 : 6237 593 216 55 41 \n", - "9 : 6212 568 252 58 52 \n", - "10 : 6212 606 195 67 62 \n", - "11 : 6206 608 238 50 40 \n", - "12 : 6205 580 233 67 57 \n", - "13 : 6231 593 224 60 46 \n", + "0 : 5942 729 289 109 73 \n", + "1 : 5992 693 276 95 86 \n", + "2 : 5987 693 264 118 80 \n", + "3 : 6008 703 266 90 75 \n", + "4 : 5975 701 296 90 80 \n", + "5 : 6005 676 288 97 76 \n", + "6 : 5904 736 316 101 85 \n", + "7 : 5988 692 287 103 72 \n", + "8 : 5973 678 318 96 77 \n", + "9 : 5982 727 270 78 85 \n", + "10 : 5975 684 288 108 87 \n", + "11 : 6000 669 276 105 92 \n", + "12 : 5957 723 290 95 77 \n", + "13 : 6015 670 289 95 85 \n", "\n", - "T : 87174 8154 3148 832 692 [100000]\n", + "T : 83703 9774 4013 1380 1130 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.3%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.1635e-02 sec\n", - "--- Collate = 1.3615e-04 sec\n", + "--- Coef/DT = 3.4%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 9.8379e-03 sec\n", + "--- Collate = 6.2342e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.092307e-06 < 6.250000e-03 [392]\n", - "--- Max DT=3.316271e-01 > 1.000000e-01 [68350]\n", + "--- Min DT=4.827231e-07 < 6.250000e-03 [609]\n", + "--- Max DT=3.193291e-01 > 1.000000e-01 [66999]\n", "----------------------------------------------------------------------\n", - " Component | low: 392/100000\n", - " Component | high: 68350/100000\n", + " Component | low: 609/100000\n", + " Component | high: 66999/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=44.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000887482 [ 0.57 %]\n", - "Velocity : 0.00358002 [ 2.31 %]\n", - "Force : 0.056825 [ 36.62 %]\n", - "Coefs : 0.0217022 [ 13.98 %]\n", - "Output : 0.00110305 [ 0.71 %]\n", - "Levels : 0.000248825 [ 0.16 %]\n", - "Report : 1.116e-06 [ 0.00 %]\n", - "Balance : 3.74e-07 [ 0.00 %]\n", - "Adjust : 0.0707875 [ 45.61 %]\n", - "Total : 0.15519 [100.00 %]\n", + "Drift : 0.00117443 [ 0.83 %]\n", + "Velocity : 0.00360833 [ 2.56 %]\n", + "Force : 0.0503998 [ 35.73 %]\n", + "Coefs : 0.0197368 [ 13.99 %]\n", + "Output : 0.00189519 [ 1.34 %]\n", + "Levels : 0.00025355 [ 0.18 %]\n", + "Report : 6.31e-07 [ 0.00 %]\n", + "Balance : 3.71e-07 [ 0.00 %]\n", + "Adjust : 0.0639216 [ 45.32 %]\n", + "Total : 0.141043 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6236 581 208 65 52 \n", - "1 : 6249 586 196 58 53 \n", - "2 : 6254 561 224 65 38 \n", - "3 : 6256 547 216 67 56 \n", - "4 : 6195 611 238 58 40 \n", - "5 : 6256 550 213 61 62 \n", - "6 : 6207 583 242 52 58 \n", - "7 : 6203 591 242 51 55 \n", - "8 : 6234 592 216 61 39 \n", - "9 : 6212 568 249 61 52 \n", - "10 : 6212 605 200 66 59 \n", - "11 : 6203 608 234 58 39 \n", - "12 : 6203 586 223 79 51 \n", - "13 : 6232 592 222 59 49 \n", + "0 : 5933 742 285 104 78 \n", + "1 : 5990 686 280 101 85 \n", + "2 : 5980 702 267 112 81 \n", + "3 : 6008 701 266 93 74 \n", + "4 : 5973 695 300 90 84 \n", + "5 : 5997 684 287 99 75 \n", + "6 : 5905 733 311 105 88 \n", + "7 : 5998 681 296 92 75 \n", + "8 : 5972 681 318 91 80 \n", + "9 : 5970 736 275 74 87 \n", + "10 : 5969 691 291 103 88 \n", + "11 : 5991 678 278 109 86 \n", + "12 : 5950 729 289 90 84 \n", + "13 : 6023 663 286 99 83 \n", "\n", - "T : 87152 8161 3123 861 703 [100000]\n", + "T : 83659 9802 4029 1362 1148 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.2647e-02 sec\n", - "--- Collate = 9.1407e-05 sec\n", + "--- Coef/DT = 5.0%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 1.0121e-02 sec\n", + "--- Collate = 6.9438e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.063361e-05 < 6.250000e-03 [400]\n", - "--- Max DT=3.322606e-01 > 1.000000e-01 [68312]\n", + "--- Min DT=3.581482e-06 < 6.250000e-03 [626]\n", + "--- Max DT=3.194512e-01 > 1.000000e-01 [67022]\n", "----------------------------------------------------------------------\n", - " Component | low: 400/100000\n", - " Component | high: 68312/100000\n", + " Component | low: 626/100000\n", + " Component | high: 67022/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=44.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00101013 [ 0.66 %]\n", - "Velocity : 0.00280397 [ 1.83 %]\n", - "Force : 0.0561378 [ 36.55 %]\n", - "Coefs : 0.021355 [ 13.90 %]\n", - "Output : 0.00089624 [ 0.58 %]\n", - "Levels : 0.000304347 [ 0.20 %]\n", - "Report : 8.99e-07 [ 0.00 %]\n", - "Balance : 4.89e-07 [ 0.00 %]\n", - "Adjust : 0.0710485 [ 46.25 %]\n", - "Total : 0.153611 [100.00 %]\n", + "Drift : 0.00119762 [ 0.85 %]\n", + "Velocity : 0.00369979 [ 2.62 %]\n", + "Force : 0.0502047 [ 35.60 %]\n", + "Coefs : 0.0198474 [ 14.07 %]\n", + "Output : 0.00185748 [ 1.32 %]\n", + "Levels : 0.000293646 [ 0.21 %]\n", + "Report : 4.98e-07 [ 0.00 %]\n", + "Balance : 3.64e-07 [ 0.00 %]\n", + "Adjust : 0.0638645 [ 45.29 %]\n", + "Total : 0.14102 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6230 589 201 62 60 \n", - "1 : 6253 583 189 67 50 \n", - "2 : 6254 569 217 67 35 \n", - "3 : 6252 551 214 67 58 \n", - "4 : 6191 606 247 57 41 \n", - "5 : 6249 565 209 58 61 \n", - "6 : 6205 587 241 49 60 \n", - "7 : 6201 580 252 54 55 \n", - "8 : 6229 593 219 61 40 \n", - "9 : 6202 575 259 54 52 \n", - "10 : 6216 600 199 70 57 \n", - "11 : 6199 618 228 62 35 \n", - "12 : 6200 586 226 77 53 \n", - "13 : 6231 593 222 60 48 \n", + "0 : 5937 728 303 101 73 \n", + "1 : 5981 690 283 103 85 \n", + "2 : 5972 703 266 120 81 \n", + "3 : 6008 702 262 98 72 \n", + "4 : 5972 702 295 87 86 \n", + "5 : 5994 679 291 105 73 \n", + "6 : 5909 719 323 100 91 \n", + "7 : 5978 699 292 93 80 \n", + "8 : 5968 688 312 98 76 \n", + "9 : 5961 747 275 75 84 \n", + "10 : 5971 685 292 102 92 \n", + "11 : 5992 673 277 112 88 \n", + "12 : 5940 735 301 84 82 \n", + "13 : 6022 662 294 89 87 \n", "\n", - "T : 87112 8195 3123 865 705 [100000]\n", + "T : 83605 9812 4066 1367 1150 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.4%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.2868e-02 sec\n", - "--- Collate = 1.2494e-04 sec\n", + "--- Coef/DT = 3.5%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 9.6805e-03 sec\n", + "--- Collate = 6.9706e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.951872e-05 < 6.250000e-03 [393]\n", - "--- Max DT=3.328899e-01 > 1.000000e-01 [68282]\n", + "--- Min DT=4.186132e-06 < 6.250000e-03 [631]\n", + "--- Max DT=3.195672e-01 > 1.000000e-01 [67074]\n", "----------------------------------------------------------------------\n", - " Component | low: 393/100000\n", - " Component | high: 68282/100000\n", + " Component | low: 631/100000\n", + " Component | high: 67074/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=44.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000914523 [ 0.54 %]\n", - "Velocity : 0.00324726 [ 1.91 %]\n", - "Force : 0.0639806 [ 37.55 %]\n", - "Coefs : 0.0255548 [ 15.00 %]\n", - "Output : 0.00102705 [ 0.60 %]\n", - "Levels : 0.000353115 [ 0.21 %]\n", - "Report : 1.536e-06 [ 0.00 %]\n", - "Balance : 7.08e-07 [ 0.00 %]\n", - "Adjust : 0.0752456 [ 44.16 %]\n", - "Total : 0.170379 [100.00 %]\n", + "Drift : 0.0012035 [ 0.85 %]\n", + "Velocity : 0.00378858 [ 2.69 %]\n", + "Force : 0.0505252 [ 35.85 %]\n", + "Coefs : 0.019761 [ 14.02 %]\n", + "Output : 0.00180209 [ 1.28 %]\n", + "Levels : 0.000244844 [ 0.17 %]\n", + "Report : 6.09e-07 [ 0.00 %]\n", + "Balance : 3.69e-07 [ 0.00 %]\n", + "Adjust : 0.0635709 [ 45.10 %]\n", + "Total : 0.140949 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6230 584 214 56 58 \n", - "1 : 6251 584 193 65 49 \n", - "2 : 6248 571 221 57 45 \n", - "3 : 6259 536 220 62 65 \n", - "4 : 6196 602 239 59 46 \n", - "5 : 6244 574 203 67 54 \n", - "6 : 6200 593 238 51 60 \n", - "7 : 6207 576 247 58 54 \n", - "8 : 6225 597 223 54 43 \n", - "9 : 6202 575 261 58 46 \n", - "10 : 6213 602 204 65 58 \n", - "11 : 6196 623 222 65 36 \n", - "12 : 6207 581 225 75 54 \n", - "13 : 6232 587 227 60 48 \n", + "0 : 5935 744 288 107 68 \n", + "1 : 5975 694 285 99 89 \n", + "2 : 5970 701 274 104 93 \n", + "3 : 5999 709 263 97 74 \n", + "4 : 5969 697 303 87 86 \n", + "5 : 5992 675 297 101 77 \n", + "6 : 5915 712 326 97 92 \n", + "7 : 5987 689 290 101 75 \n", + "8 : 5963 690 310 99 80 \n", + "9 : 5955 758 271 80 78 \n", + "10 : 5960 692 290 109 91 \n", + "11 : 5985 678 284 107 88 \n", + "12 : 5940 734 296 93 79 \n", + "13 : 6031 649 298 92 84 \n", "\n", - "T : 87110 8185 3137 852 716 [100000]\n", + "T : 83576 9822 4075 1373 1154 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.9%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.9714e-02 sec\n", - "--- Collate = 1.4128e-04 sec\n", + "--- Coef/DT = 3.3%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 9.8801e-03 sec\n", + "--- Collate = 8.3826e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.188828e-05 < 6.250000e-03 [404]\n", - "--- Max DT=3.335032e-01 > 1.000000e-01 [68259]\n", + "--- Min DT=3.410236e-06 < 6.250000e-03 [648]\n", + "--- Max DT=3.222164e-01 > 1.000000e-01 [67093]\n", "----------------------------------------------------------------------\n", - " Component | low: 404/100000\n", - " Component | high: 68259/100000\n", + " Component | low: 648/100000\n", + " Component | high: 67093/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=44.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00107211 [ 0.46 %]\n", - "Velocity : 0.00321683 [ 1.39 %]\n", - "Force : 0.0757619 [ 32.68 %]\n", - "Coefs : 0.0308377 [ 13.30 %]\n", - "Output : 0.00156775 [ 0.68 %]\n", - "Levels : 0.000289799 [ 0.13 %]\n", - "Report : 1.367e-06 [ 0.00 %]\n", - "Balance : 5.95e-07 [ 0.00 %]\n", - "Adjust : 0.119016 [ 51.34 %]\n", - "Total : 0.231828 [100.00 %]\n", + "Drift : 0.00122787 [ 0.87 %]\n", + "Velocity : 0.00362106 [ 2.56 %]\n", + "Force : 0.051127 [ 36.08 %]\n", + "Coefs : 0.0199602 [ 14.09 %]\n", + "Output : 0.00185348 [ 1.31 %]\n", + "Levels : 0.000264544 [ 0.19 %]\n", + "Report : 8.99e-07 [ 0.00 %]\n", + "Balance : 4.31e-07 [ 0.00 %]\n", + "Adjust : 0.0635845 [ 44.88 %]\n", + "Total : 0.141692 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6231 578 219 59 55 \n", - "1 : 6254 580 192 67 49 \n", - "2 : 6247 571 224 61 39 \n", - "3 : 6253 538 226 61 64 \n", - "4 : 6193 605 240 56 48 \n", - "5 : 6244 569 209 67 53 \n", - "6 : 6199 594 242 48 59 \n", - "7 : 6206 575 247 59 55 \n", - "8 : 6219 604 216 60 43 \n", - "9 : 6205 579 256 51 51 \n", - "10 : 6207 612 200 61 62 \n", - "11 : 6209 609 222 63 39 \n", - "12 : 6201 584 231 70 56 \n", - "13 : 6233 586 227 59 49 \n", + "0 : 5929 747 289 101 76 \n", + "1 : 5961 704 293 101 83 \n", + "2 : 5966 715 265 102 94 \n", + "3 : 6003 702 260 103 74 \n", + "4 : 5969 706 298 86 83 \n", + "5 : 5987 685 294 95 81 \n", + "6 : 5914 719 317 103 89 \n", + "7 : 5987 690 297 97 71 \n", + "8 : 5957 701 300 102 82 \n", + "9 : 5955 750 280 81 76 \n", + "10 : 5961 703 280 104 94 \n", + "11 : 5991 671 285 109 86 \n", + "12 : 5948 738 281 87 88 \n", + "13 : 6027 644 303 93 87 \n", "\n", - "T : 87101 8184 3151 842 722 [100000]\n", + "T : 83555 9875 4042 1364 1164 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 9.2%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.8271e-02 sec\n", - "--- Collate = 9.2661e-05 sec\n", + "--- Coef/DT = 3.3%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 9.8220e-03 sec\n", + "--- Collate = 6.5234e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.605793e-06 < 6.250000e-03 [401]\n", - "--- Max DT=3.341088e-01 > 1.000000e-01 [68245]\n", + "--- Min DT=8.949296e-08 < 6.250000e-03 [642]\n", + "--- Max DT=3.273669e-01 > 1.000000e-01 [67120]\n", "----------------------------------------------------------------------\n", - " Component | low: 401/100000\n", - " Component | high: 68245/100000\n", + " Component | low: 642/100000\n", + " Component | high: 67120/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=44.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000811314 [ 0.37 %]\n", - "Velocity : 0.0029882 [ 1.38 %]\n", - "Force : 0.0849051 [ 39.18 %]\n", - "Coefs : 0.0362825 [ 16.74 %]\n", - "Output : 0.00108276 [ 0.50 %]\n", - "Levels : 0.000288813 [ 0.13 %]\n", - "Report : 1.263e-06 [ 0.00 %]\n", - "Balance : 4.89e-07 [ 0.00 %]\n", - "Adjust : 0.0902959 [ 41.66 %]\n", - "Total : 0.216721 [100.00 %]\n", + "Drift : 0.00123734 [ 0.87 %]\n", + "Velocity : 0.00368194 [ 2.60 %]\n", + "Force : 0.0507684 [ 35.80 %]\n", + "Coefs : 0.0199023 [ 14.03 %]\n", + "Output : 0.0017968 [ 1.27 %]\n", + "Levels : 0.000255847 [ 0.18 %]\n", + "Report : 6e-07 [ 0.00 %]\n", + "Balance : 3.95e-07 [ 0.00 %]\n", + "Adjust : 0.0641209 [ 45.21 %]\n", + "Total : 0.141818 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6224 581 224 52 61 \n", - "1 : 6247 590 189 66 50 \n", - "2 : 6247 574 218 62 41 \n", - "3 : 6237 559 217 64 65 \n", - "4 : 6193 606 238 57 48 \n", - "5 : 6243 572 205 67 55 \n", - "6 : 6195 595 243 53 56 \n", - "7 : 6202 587 237 55 61 \n", - "8 : 6217 602 220 64 39 \n", - "9 : 6203 578 259 52 50 \n", - "10 : 6207 609 204 60 62 \n", - "11 : 6211 601 226 63 41 \n", - "12 : 6196 591 231 69 55 \n", - "13 : 6231 588 226 60 49 \n", + "0 : 5934 744 288 91 85 \n", + "1 : 5958 710 294 95 85 \n", + "2 : 5972 704 272 104 90 \n", + "3 : 6006 690 275 94 77 \n", + "4 : 5967 699 303 97 76 \n", + "5 : 5986 680 299 94 83 \n", + "6 : 5913 716 317 110 86 \n", + "7 : 5985 688 298 98 73 \n", + "8 : 5954 704 297 106 81 \n", + "9 : 5956 747 280 78 81 \n", + "10 : 5963 700 278 111 90 \n", + "11 : 5990 672 284 114 82 \n", + "12 : 5946 743 289 76 88 \n", + "13 : 6020 653 299 106 76 \n", "\n", - "T : 87053 8233 3137 844 733 [100000]\n", + "T : 83550 9850 4073 1374 1153 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.0%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 2.2594e-02 sec\n", - "--- Collate = 1.3371e-04 sec\n", + "--- Coef/DT = 3.5%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 9.7427e-03 sec\n", + "--- Collate = 6.1998e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.203734e-06 < 6.250000e-03 [409]\n", - "--- Max DT=3.347030e-01 > 1.000000e-01 [68254]\n", + "--- Min DT=6.422254e-06 < 6.250000e-03 [667]\n", + "--- Max DT=3.324018e-01 > 1.000000e-01 [67133]\n", "----------------------------------------------------------------------\n", - " Component | low: 409/100000\n", - " Component | high: 68254/100000\n", + " Component | low: 667/100000\n", + " Component | high: 67133/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=45] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00120255 [ 0.36 %]\n", - "Velocity : 0.00361512 [ 1.07 %]\n", - "Force : 0.113152 [ 33.51 %]\n", - "Coefs : 0.044051 [ 13.05 %]\n", - "Output : 0.00673061 [ 1.99 %]\n", - "Levels : 0.000869612 [ 0.26 %]\n", - "Report : 1.537e-06 [ 0.00 %]\n", - "Balance : 1.114e-06 [ 0.00 %]\n", - "Adjust : 0.168 [ 49.75 %]\n", - "Total : 0.337685 [100.00 %]\n", + "Drift : 0.00119672 [ 0.83 %]\n", + "Velocity : 0.00362222 [ 2.53 %]\n", + "Force : 0.0498979 [ 34.79 %]\n", + "Coefs : 0.0195418 [ 13.62 %]\n", + "Output : 0.0062227 [ 4.34 %]\n", + "Levels : 0.000252841 [ 0.18 %]\n", + "Report : 1.254e-06 [ 0.00 %]\n", + "Balance : 6.34e-07 [ 0.00 %]\n", + "Adjust : 0.0626549 [ 43.68 %]\n", + "Total : 0.143437 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6230 564 227 61 60 \n", - "1 : 6254 578 198 64 48 \n", - "2 : 6249 566 223 60 44 \n", - "3 : 6234 569 213 62 64 \n", - "4 : 6197 599 233 64 49 \n", - "5 : 6243 569 213 60 57 \n", - "6 : 6199 591 243 52 57 \n", - "7 : 6206 583 234 58 61 \n", - "8 : 6223 593 220 67 39 \n", - "9 : 6203 576 259 56 48 \n", - "10 : 6203 605 213 61 60 \n", - "11 : 6212 592 236 63 39 \n", - "12 : 6205 584 226 71 56 \n", - "13 : 6219 597 225 62 51 \n", + "0 : 5927 752 293 86 84 \n", + "1 : 5954 711 295 97 85 \n", + "2 : 5971 698 289 91 93 \n", + "3 : 6002 694 282 89 75 \n", + "4 : 5968 695 302 97 80 \n", + "5 : 5982 682 301 92 85 \n", + "6 : 5906 720 325 100 91 \n", + "7 : 5985 687 298 101 71 \n", + "8 : 5957 699 306 104 76 \n", + "9 : 5953 750 277 79 83 \n", + "10 : 5962 698 282 106 94 \n", + "11 : 5982 675 297 105 83 \n", + "12 : 5950 738 282 88 84 \n", + "13 : 6021 645 305 99 84 \n", "\n", - "T : 87077 8166 3163 861 733 [100000]\n", + "T : 83520 9844 4134 1334 1168 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.5%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.2218e-02 sec\n", - "--- Collate = 8.5297e-05 sec\n", + "--- Coef/DT = 3.3%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 9.6063e-03 sec\n", + "--- Collate = 6.5685e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.032739e-06 < 6.250000e-03 [408]\n", - "--- Max DT=3.352852e-01 > 1.000000e-01 [68231]\n", + "--- Min DT=8.855442e-06 < 6.250000e-03 [680]\n", + "--- Max DT=3.345624e-01 > 1.000000e-01 [67184]\n", "----------------------------------------------------------------------\n", - " Component | low: 408/100000\n", - " Component | high: 68231/100000\n", + " Component | low: 680/100000\n", + " Component | high: 67184/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=45.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000947846 [ 0.46 %]\n", - "Velocity : 0.00294259 [ 1.44 %]\n", - "Force : 0.0741379 [ 36.19 %]\n", - "Coefs : 0.0321736 [ 15.71 %]\n", - "Output : 0.00120012 [ 0.59 %]\n", - "Levels : 0.000326733 [ 0.16 %]\n", - "Report : 1.919e-06 [ 0.00 %]\n", - "Balance : 6.68e-07 [ 0.00 %]\n", - "Adjust : 0.0930479 [ 45.43 %]\n", - "Total : 0.204838 [100.00 %]\n", + "Drift : 0.00113876 [ 0.82 %]\n", + "Velocity : 0.00376696 [ 2.72 %]\n", + "Force : 0.0498284 [ 35.98 %]\n", + "Coefs : 0.0196534 [ 14.19 %]\n", + "Output : 0.00180996 [ 1.31 %]\n", + "Levels : 0.000282144 [ 0.20 %]\n", + "Report : 8.44e-07 [ 0.00 %]\n", + "Balance : 3.48e-07 [ 0.00 %]\n", + "Adjust : 0.0619669 [ 44.74 %]\n", + "Total : 0.138493 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6235 559 224 66 58 \n", - "1 : 6252 580 195 63 52 \n", - "2 : 6242 574 213 67 46 \n", - "3 : 6233 569 214 60 66 \n", - "4 : 6195 606 228 62 51 \n", - "5 : 6243 571 205 72 51 \n", - "6 : 6200 592 240 55 55 \n", - "7 : 6206 576 237 62 61 \n", - "8 : 6218 603 213 65 43 \n", - "9 : 6196 586 256 59 45 \n", - "10 : 6206 605 199 68 64 \n", - "11 : 6205 598 235 65 39 \n", - "12 : 6205 580 237 67 53 \n", - "13 : 6215 599 229 59 52 \n", + "0 : 5918 759 295 83 87 \n", + "1 : 5956 706 290 105 85 \n", + "2 : 5974 694 299 81 94 \n", + "3 : 6005 693 281 87 76 \n", + "4 : 5969 698 299 98 78 \n", + "5 : 5980 682 304 87 89 \n", + "6 : 5905 727 316 98 96 \n", + "7 : 5989 678 294 112 69 \n", + "8 : 5962 694 301 105 80 \n", + "9 : 5952 746 275 88 81 \n", + "10 : 5958 695 293 94 102 \n", + "11 : 5980 673 298 110 81 \n", + "12 : 5940 748 277 92 85 \n", + "13 : 6018 647 301 109 79 \n", "\n", - "T : 87051 8198 3125 890 736 [100000]\n", + "T : 83506 9840 4123 1349 1182 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.8%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.2012e-02 sec\n", - "--- Collate = 8.2058e-05 sec\n", + "--- Coef/DT = 3.1%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 9.4259e-03 sec\n", + "--- Collate = 8.8708e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.096654e-06 < 6.250000e-03 [418]\n", - "--- Max DT=3.358563e-01 > 1.000000e-01 [68224]\n", + "--- Min DT=7.654053e-07 < 6.250000e-03 [686]\n", + "--- Max DT=3.367026e-01 > 1.000000e-01 [67211]\n", "----------------------------------------------------------------------\n", - " Component | low: 418/100000\n", - " Component | high: 68224/100000\n", + " Component | low: 686/100000\n", + " Component | high: 67211/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=45.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00066485 [ 0.40 %]\n", - "Velocity : 0.00308407 [ 1.84 %]\n", - "Force : 0.0596476 [ 35.63 %]\n", - "Coefs : 0.0233016 [ 13.92 %]\n", - "Output : 0.00101819 [ 0.61 %]\n", - "Levels : 0.000249186 [ 0.15 %]\n", - "Report : 1.093e-06 [ 0.00 %]\n", - "Balance : 5.16e-07 [ 0.00 %]\n", - "Adjust : 0.0793908 [ 47.42 %]\n", - "Total : 0.167416 [100.00 %]\n", + "Drift : 0.00118603 [ 0.85 %]\n", + "Velocity : 0.00358043 [ 2.57 %]\n", + "Force : 0.0501236 [ 36.03 %]\n", + "Coefs : 0.0198047 [ 14.24 %]\n", + "Output : 0.00179767 [ 1.29 %]\n", + "Levels : 0.000231751 [ 0.17 %]\n", + "Report : 9.37e-07 [ 0.00 %]\n", + "Balance : 3.54e-07 [ 0.00 %]\n", + "Adjust : 0.0623466 [ 44.81 %]\n", + "Total : 0.139124 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6235 564 217 69 57 \n", - "1 : 6250 581 194 63 54 \n", - "2 : 6240 570 223 59 50 \n", - "3 : 6229 576 212 58 67 \n", - "4 : 6193 605 233 61 50 \n", - "5 : 6235 580 206 68 53 \n", - "6 : 6205 585 244 54 54 \n", - "7 : 6204 584 230 64 60 \n", - "8 : 6210 614 209 65 44 \n", - "9 : 6196 578 261 57 50 \n", - "10 : 6200 614 198 63 67 \n", - "11 : 6204 597 243 57 41 \n", - "12 : 6207 579 240 60 56 \n", - "13 : 6212 596 229 65 52 \n", + "0 : 5915 762 289 85 91 \n", + "1 : 5951 719 286 100 86 \n", + "2 : 5974 685 315 78 90 \n", + "3 : 6006 692 281 83 80 \n", + "4 : 5970 699 295 101 77 \n", + "5 : 5974 686 298 89 95 \n", + "6 : 5901 729 314 102 96 \n", + "7 : 5986 673 300 115 68 \n", + "8 : 5959 692 313 96 82 \n", + "9 : 5947 748 272 90 85 \n", + "10 : 5949 702 296 90 105 \n", + "11 : 5974 675 302 106 85 \n", + "12 : 5939 751 272 94 86 \n", + "13 : 6016 647 303 101 87 \n", "\n", - "T : 87020 8223 3139 863 755 [100000]\n", + "T : 83461 9860 4136 1330 1213 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.8%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.4206e-02 sec\n", - "--- Collate = 7.9239e-05 sec\n", + "--- Coef/DT = 3.6%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 9.6214e-03 sec\n", + "--- Collate = 6.2768e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.016732e-06 < 6.250000e-03 [428]\n", - "--- Max DT=3.364154e-01 > 1.000000e-01 [68200]\n", + "--- Min DT=8.271587e-06 < 6.250000e-03 [691]\n", + "--- Max DT=3.388221e-01 > 1.000000e-01 [67227]\n", "----------------------------------------------------------------------\n", - " Component | low: 428/100000\n", - " Component | high: 68200/100000\n", + " Component | low: 691/100000\n", + " Component | high: 67227/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=45.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00122411 [ 0.60 %]\n", - "Velocity : 0.00311166 [ 1.52 %]\n", - "Force : 0.0587861 [ 28.66 %]\n", - "Coefs : 0.023977 [ 11.69 %]\n", - "Output : 0.00113796 [ 0.55 %]\n", - "Levels : 0.000275854 [ 0.13 %]\n", - "Report : 1.109e-06 [ 0.00 %]\n", - "Balance : 6.89e-07 [ 0.00 %]\n", - "Adjust : 0.116519 [ 56.81 %]\n", - "Total : 0.205096 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.0011081 [ 0.79 %]\n", + "Velocity : 0.00356222 [ 2.55 %]\n", + "Force : 0.050149 [ 35.88 %]\n", + "Coefs : 0.019674 [ 14.08 %]\n", + "Output : 0.00184837 [ 1.32 %]\n", + "Levels : 0.000231537 [ 0.17 %]\n", + "Report : 5.69e-07 [ 0.00 %]\n", + "Balance : 3.12e-07 [ 0.00 %]\n", + "Adjust : 0.0631457 [ 45.18 %]\n", + "Total : 0.139767 [100.00 %]\n", + "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6228 572 211 71 60 \n", - "1 : 6246 585 193 64 54 \n", - "2 : 6234 579 220 54 55 \n", - "3 : 6232 573 215 59 63 \n", - "4 : 6191 603 240 63 45 \n", - "5 : 6234 579 209 66 54 \n", - "6 : 6209 584 241 56 52 \n", - "7 : 6198 579 243 62 60 \n", - "8 : 6208 612 216 69 37 \n", - "9 : 6189 579 259 65 50 \n", - "10 : 6201 610 204 59 68 \n", - "11 : 6199 594 244 59 46 \n", - "12 : 6208 585 238 56 55 \n", - "13 : 6210 598 224 69 53 \n", + "0 : 5921 758 289 89 85 \n", + "1 : 5946 725 285 99 87 \n", + "2 : 5956 700 319 76 91 \n", + "3 : 6002 697 277 84 82 \n", + "4 : 5965 703 296 102 76 \n", + "5 : 5970 690 305 86 91 \n", + "6 : 5902 728 316 98 98 \n", + "7 : 5980 679 304 108 71 \n", + "8 : 5952 701 314 87 88 \n", + "9 : 5936 754 283 82 87 \n", + "10 : 5945 705 297 85 110 \n", + "11 : 5969 678 307 100 88 \n", + "12 : 5943 743 277 89 90 \n", + "13 : 6010 662 291 103 88 \n", "\n", - "T : 86987 8232 3157 872 752 [100000]\n", + "T : 83397 9923 4160 1288 1232 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.2%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.2001e-02 sec\n", - "--- Collate = 9.5166e-05 sec\n", + "--- Coef/DT = 3.2%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 9.7775e-03 sec\n", + "--- Collate = 6.7742e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.926691e-06 < 6.250000e-03 [442]\n", - "--- Max DT=3.369604e-01 > 1.000000e-01 [68201]\n", + "--- Min DT=4.194666e-06 < 6.250000e-03 [672]\n", + "--- Max DT=3.409201e-01 > 1.000000e-01 [67252]\n", "----------------------------------------------------------------------\n", - " Component | low: 442/100000\n", - " Component | high: 68201/100000\n", + " Component | low: 672/100000\n", + " Component | high: 67252/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=45.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00113288 [ 0.67 %]\n", - "Velocity : 0.0024724 [ 1.46 %]\n", - "Force : 0.0641513 [ 37.93 %]\n", - "Coefs : 0.0254223 [ 15.03 %]\n", - "Output : 0.00144086 [ 0.85 %]\n", - "Levels : 0.000271051 [ 0.16 %]\n", - "Report : 1.276e-06 [ 0.00 %]\n", - "Balance : 4.96e-07 [ 0.00 %]\n", - "Adjust : 0.0741972 [ 43.87 %]\n", - "Total : 0.169147 [100.00 %]\n", + "Drift : 0.00115055 [ 0.81 %]\n", + "Velocity : 0.00366412 [ 2.59 %]\n", + "Force : 0.0506477 [ 35.85 %]\n", + "Coefs : 0.0197171 [ 13.96 %]\n", + "Output : 0.00188958 [ 1.34 %]\n", + "Levels : 0.000243117 [ 0.17 %]\n", + "Report : 4.91e-07 [ 0.00 %]\n", + "Balance : 3.44e-07 [ 0.00 %]\n", + "Adjust : 0.0639185 [ 45.24 %]\n", + "Total : 0.141281 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6228 573 214 62 65 \n", - "1 : 6246 581 202 60 53 \n", - "2 : 6237 570 227 56 52 \n", - "3 : 6233 573 214 56 66 \n", - "4 : 6194 601 239 67 41 \n", - "5 : 6230 580 210 66 56 \n", - "6 : 6209 584 238 59 52 \n", - "7 : 6197 577 239 67 62 \n", - "8 : 6212 596 229 63 42 \n", - "9 : 6189 584 251 69 49 \n", - "10 : 6200 611 202 52 77 \n", - "11 : 6193 603 239 59 48 \n", - "12 : 6200 595 234 58 55 \n", - "13 : 6207 594 226 75 52 \n", + "0 : 5924 758 277 102 81 \n", + "1 : 5941 712 305 92 92 \n", + "2 : 5955 707 308 76 96 \n", + "3 : 5997 702 277 80 86 \n", + "4 : 5969 707 290 95 81 \n", + "5 : 5962 693 311 80 96 \n", + "6 : 5903 721 316 100 102 \n", + "7 : 5974 688 295 110 75 \n", + "8 : 5954 698 316 83 91 \n", + "9 : 5930 752 283 90 87 \n", + "10 : 5947 700 300 90 105 \n", + "11 : 5973 676 301 103 89 \n", + "12 : 5945 739 283 82 93 \n", + "13 : 6008 665 294 96 91 \n", "\n", - "T : 86975 8222 3164 869 770 [100000]\n", + "T : 83382 9918 4156 1279 1265 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.0%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.1152e-02 sec\n", - "--- Collate = 7.2623e-05 sec\n", + "--- Coef/DT = 3.4%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 9.7193e-03 sec\n", + "--- Collate = 6.5832e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.019616e-05 < 6.250000e-03 [453]\n", - "--- Max DT=3.374943e-01 > 1.000000e-01 [68185]\n", + "--- Min DT=8.643477e-06 < 6.250000e-03 [673]\n", + "--- Max DT=3.429804e-01 > 1.000000e-01 [67267]\n", "----------------------------------------------------------------------\n", - " Component | low: 453/100000\n", - " Component | high: 68185/100000\n", + " Component | low: 673/100000\n", + " Component | high: 67267/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=45.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000882141 [ 0.54 %]\n", - "Velocity : 0.00341214 [ 2.08 %]\n", - "Force : 0.0629466 [ 38.37 %]\n", - "Coefs : 0.0260608 [ 15.89 %]\n", - "Output : 0.000891243 [ 0.54 %]\n", - "Levels : 0.000288366 [ 0.18 %]\n", - "Report : 8.95e-07 [ 0.00 %]\n", - "Balance : 3.54e-07 [ 0.00 %]\n", - "Adjust : 0.0695183 [ 42.38 %]\n", - "Total : 0.164052 [100.00 %]\n", + "Drift : 0.00118807 [ 0.83 %]\n", + "Velocity : 0.00375778 [ 2.64 %]\n", + "Force : 0.0509807 [ 35.80 %]\n", + "Coefs : 0.0200602 [ 14.09 %]\n", + "Output : 0.00182051 [ 1.28 %]\n", + "Levels : 0.000311114 [ 0.22 %]\n", + "Report : 6e-07 [ 0.00 %]\n", + "Balance : 3.87e-07 [ 0.00 %]\n", + "Adjust : 0.06425 [ 45.11 %]\n", + "Total : 0.142422 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6222 579 210 64 67 \n", - "1 : 6239 585 202 60 56 \n", - "2 : 6237 567 230 53 55 \n", - "3 : 6237 562 217 59 67 \n", - "4 : 6201 587 245 65 44 \n", - "5 : 6233 578 210 64 57 \n", - "6 : 6213 571 248 60 50 \n", - "7 : 6201 569 241 65 66 \n", - "8 : 6212 595 229 60 46 \n", - "9 : 6189 584 254 67 48 \n", - "10 : 6204 602 204 62 70 \n", - "11 : 6195 603 239 60 45 \n", - "12 : 6200 598 229 63 52 \n", - "13 : 6206 598 220 74 56 \n", + "0 : 5935 755 265 105 82 \n", + "1 : 5943 708 310 85 96 \n", + "2 : 5951 718 297 85 91 \n", + "3 : 5997 698 275 78 94 \n", + "4 : 5969 703 295 94 81 \n", + "5 : 5955 702 307 83 95 \n", + "6 : 5902 717 318 102 103 \n", + "7 : 5980 686 299 101 76 \n", + "8 : 5950 699 314 88 91 \n", + "9 : 5929 752 285 74 102 \n", + "10 : 5949 700 289 106 98 \n", + "11 : 5972 672 302 104 92 \n", + "12 : 5944 739 290 77 92 \n", + "13 : 6009 661 300 92 92 \n", "\n", - "T : 86989 8178 3178 876 779 [100000]\n", + "T : 83385 9910 4146 1274 1285 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.0941e-02 sec\n", - "--- Collate = 9.3774e-05 sec\n", + "--- Coef/DT = 3.3%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 9.5840e-03 sec\n", + "--- Collate = 6.7171e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.109188e-07 < 6.250000e-03 [480]\n", - "--- Max DT=3.380103e-01 > 1.000000e-01 [68132]\n", + "--- Min DT=3.294298e-06 < 6.250000e-03 [691]\n", + "--- Max DT=3.449964e-01 > 1.000000e-01 [67293]\n", "----------------------------------------------------------------------\n", - " Component | low: 480/100000\n", - " Component | high: 68132/100000\n", + " Component | low: 691/100000\n", + " Component | high: 67293/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=45.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000997702 [ 0.64 %]\n", - "Velocity : 0.00324319 [ 2.09 %]\n", - "Force : 0.058596 [ 37.69 %]\n", - "Coefs : 0.0243058 [ 15.63 %]\n", - "Output : 0.000891456 [ 0.57 %]\n", - "Levels : 0.000252182 [ 0.16 %]\n", - "Report : 9.11e-07 [ 0.00 %]\n", - "Balance : 2.4e-07 [ 0.00 %]\n", - "Adjust : 0.0671415 [ 43.18 %]\n", - "Total : 0.155486 [100.00 %]\n", + "Drift : 0.00120016 [ 0.84 %]\n", + "Velocity : 0.00370574 [ 2.59 %]\n", + "Force : 0.0515261 [ 35.95 %]\n", + "Coefs : 0.0201522 [ 14.06 %]\n", + "Output : 0.00196317 [ 1.37 %]\n", + "Levels : 0.000249491 [ 0.17 %]\n", + "Report : 9.33e-07 [ 0.00 %]\n", + "Balance : 4.08e-07 [ 0.00 %]\n", + "Adjust : 0.064453 [ 44.98 %]\n", + "Total : 0.143307 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6220 578 214 56 74 \n", - "1 : 6236 584 199 66 57 \n", - "2 : 6231 569 230 57 55 \n", - "3 : 6238 556 221 65 62 \n", - "4 : 6201 583 242 66 50 \n", - "5 : 6239 565 216 66 56 \n", - "6 : 6207 576 243 59 57 \n", - "7 : 6201 573 232 67 69 \n", - "8 : 6209 595 226 64 48 \n", - "9 : 6184 593 245 70 50 \n", - "10 : 6213 588 205 66 70 \n", - "11 : 6195 597 244 58 48 \n", - "12 : 6198 594 240 53 57 \n", - "13 : 6209 594 227 67 57 \n", + "0 : 5933 756 264 105 84 \n", + "1 : 5934 717 312 88 91 \n", + "2 : 5942 723 304 89 84 \n", + "3 : 5996 699 267 91 89 \n", + "4 : 5969 704 289 99 81 \n", + "5 : 5947 711 308 84 92 \n", + "6 : 5896 718 325 97 106 \n", + "7 : 5978 684 302 99 79 \n", + "8 : 5943 701 315 91 92 \n", + "9 : 5924 761 279 75 103 \n", + "10 : 5948 699 288 108 99 \n", + "11 : 5977 662 306 103 94 \n", + "12 : 5949 737 280 92 84 \n", + "13 : 6002 672 298 87 95 \n", "\n", - "T : 86981 8145 3184 880 810 [100000]\n", + "T : 83338 9944 4137 1308 1273 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.9%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.2545e-02 sec\n", - "--- Collate = 8.3938e-05 sec\n", + "--- Coef/DT = 3.0%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 9.8575e-03 sec\n", + "--- Collate = 7.1368e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.365773e-06 < 6.250000e-03 [479]\n", - "--- Max DT=3.385094e-01 > 1.000000e-01 [68116]\n", + "--- Min DT=2.218382e-06 < 6.250000e-03 [712]\n", + "--- Max DT=3.469944e-01 > 1.000000e-01 [67306]\n", "----------------------------------------------------------------------\n", - " Component | low: 479/100000\n", - " Component | high: 68116/100000\n", + " Component | low: 712/100000\n", + " Component | high: 67306/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=45.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00113364 [ 0.66 %]\n", - "Velocity : 0.00279048 [ 1.62 %]\n", - "Force : 0.0659105 [ 38.21 %]\n", - "Coefs : 0.0259731 [ 15.06 %]\n", - "Output : 0.000861395 [ 0.50 %]\n", - "Levels : 0.000293975 [ 0.17 %]\n", - "Report : 7.41e-07 [ 0.00 %]\n", - "Balance : 2.6e-07 [ 0.00 %]\n", - "Adjust : 0.0754849 [ 43.76 %]\n", - "Total : 0.172506 [100.00 %]\n", + "Drift : 0.00120718 [ 0.83 %]\n", + "Velocity : 0.00369173 [ 2.54 %]\n", + "Force : 0.0515242 [ 35.47 %]\n", + "Coefs : 0.0202863 [ 13.97 %]\n", + "Output : 0.001932 [ 1.33 %]\n", + "Levels : 0.000266782 [ 0.18 %]\n", + "Report : 5.75e-07 [ 0.00 %]\n", + "Balance : 4.05e-07 [ 0.00 %]\n", + "Adjust : 0.0663013 [ 45.64 %]\n", + "Total : 0.145264 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6221 577 213 53 78 \n", - "1 : 6240 576 202 67 57 \n", - "2 : 6232 564 236 59 51 \n", - "3 : 6239 554 220 69 60 \n", - "4 : 6199 584 243 67 49 \n", - "5 : 6236 563 219 67 57 \n", - "6 : 6202 578 248 57 57 \n", - "7 : 6203 567 231 76 65 \n", - "8 : 6213 596 223 55 55 \n", - "9 : 6182 599 247 66 48 \n", - "10 : 6215 581 211 68 67 \n", - "11 : 6191 611 230 56 54 \n", - "12 : 6195 597 238 53 59 \n", - "13 : 6203 597 231 61 62 \n", + "0 : 5938 741 275 100 88 \n", + "1 : 5937 721 305 88 91 \n", + "2 : 5935 726 307 88 86 \n", + "3 : 5992 712 253 98 87 \n", + "4 : 5967 708 284 102 81 \n", + "5 : 5940 722 304 89 87 \n", + "6 : 5896 723 315 101 107 \n", + "7 : 5978 688 290 102 84 \n", + "8 : 5946 702 309 91 94 \n", + "9 : 5913 776 272 80 101 \n", + "10 : 5940 704 290 109 99 \n", + "11 : 5974 659 313 101 95 \n", + "12 : 5945 741 278 100 78 \n", + "13 : 5999 673 298 93 91 \n", "\n", - "T : 86971 8144 3192 874 819 [100000]\n", + "T : 83300 9996 4093 1342 1269 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.4%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.2688e-02 sec\n", - "--- Collate = 2.7913e-04 sec\n", + "--- Coef/DT = 3.0%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 9.7784e-03 sec\n", + "--- Collate = 6.6516e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.305089e-06 < 6.250000e-03 [481]\n", - "--- Max DT=3.389961e-01 > 1.000000e-01 [68081]\n", + "--- Min DT=2.808080e-06 < 6.250000e-03 [737]\n", + "--- Max DT=3.489411e-01 > 1.000000e-01 [67311]\n", "----------------------------------------------------------------------\n", - " Component | low: 481/100000\n", - " Component | high: 68081/100000\n", + " Component | low: 737/100000\n", + " Component | high: 67311/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=45.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00112183 [ 0.67 %]\n", - "Velocity : 0.00319476 [ 1.90 %]\n", - "Force : 0.064064 [ 38.12 %]\n", - "Coefs : 0.0261691 [ 15.57 %]\n", - "Output : 0.000992435 [ 0.59 %]\n", - "Levels : 0.000248456 [ 0.15 %]\n", - "Report : 1.078e-06 [ 0.00 %]\n", - "Balance : 3.91e-07 [ 0.00 %]\n", - "Adjust : 0.0722254 [ 42.97 %]\n", - "Total : 0.16807 [100.00 %]\n", + "Drift : 0.00123253 [ 0.86 %]\n", + "Velocity : 0.0038314 [ 2.68 %]\n", + "Force : 0.0513823 [ 35.95 %]\n", + "Coefs : 0.0202368 [ 14.16 %]\n", + "Output : 0.00179331 [ 1.25 %]\n", + "Levels : 0.000253079 [ 0.18 %]\n", + "Report : 5.82e-07 [ 0.00 %]\n", + "Balance : 3.87e-07 [ 0.00 %]\n", + "Adjust : 0.0641432 [ 44.88 %]\n", + "Total : 0.142931 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6218 580 213 51 80 \n", - "1 : 6236 573 207 65 61 \n", - "2 : 6236 557 238 65 46 \n", - "3 : 6238 550 223 72 59 \n", - "4 : 6199 573 253 72 45 \n", - "5 : 6240 558 220 65 59 \n", - "6 : 6201 574 247 62 58 \n", - "7 : 6202 564 241 70 65 \n", - "8 : 6210 601 222 49 60 \n", - "9 : 6182 597 252 62 49 \n", - "10 : 6220 569 222 64 67 \n", - "11 : 6191 610 228 54 59 \n", - "12 : 6191 606 231 62 52 \n", - "13 : 6199 600 227 69 59 \n", + "0 : 5936 734 281 98 93 \n", + "1 : 5933 714 312 90 93 \n", + "2 : 5937 732 297 85 91 \n", + "3 : 5986 716 253 101 86 \n", + "4 : 5969 710 284 95 84 \n", + "5 : 5934 726 306 92 84 \n", + "6 : 5887 727 316 102 110 \n", + "7 : 5980 682 292 101 87 \n", + "8 : 5941 705 317 89 90 \n", + "9 : 5923 772 262 93 92 \n", + "10 : 5939 708 288 107 100 \n", + "11 : 5986 637 319 109 91 \n", + "12 : 5939 745 285 95 78 \n", + "13 : 6002 671 293 103 85 \n", "\n", - "T : 86963 8112 3224 882 819 [100000]\n", + "T : 83292 9979 4105 1360 1264 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.2%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.0491e-02 sec\n", - "--- Collate = 1.0448e-04 sec\n", + "--- Coef/DT = 3.4%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 9.8704e-03 sec\n", + "--- Collate = 6.9828e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.144728e-06 < 6.250000e-03 [476]\n", - "--- Max DT=3.394698e-01 > 1.000000e-01 [68076]\n", + "--- Min DT=2.865065e-07 < 6.250000e-03 [734]\n", + "--- Max DT=3.508406e-01 > 1.000000e-01 [67351]\n", "----------------------------------------------------------------------\n", - " Component | low: 476/100000\n", - " Component | high: 68076/100000\n", + " Component | low: 734/100000\n", + " Component | high: 67351/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=45.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00110273 [ 0.65 %]\n", - "Velocity : 0.00315008 [ 1.85 %]\n", - "Force : 0.0630549 [ 36.97 %]\n", - "Coefs : 0.0282736 [ 16.58 %]\n", - "Output : 0.00100495 [ 0.59 %]\n", - "Levels : 0.000296461 [ 0.17 %]\n", - "Report : 1.02e-06 [ 0.00 %]\n", - "Balance : 4.12e-07 [ 0.00 %]\n", - "Adjust : 0.0736381 [ 43.17 %]\n", - "Total : 0.170577 [100.00 %]\n", + "Drift : 0.00121821 [ 0.85 %]\n", + "Velocity : 0.00376318 [ 2.63 %]\n", + "Force : 0.0514409 [ 35.98 %]\n", + "Coefs : 0.0201968 [ 14.12 %]\n", + "Output : 0.00177266 [ 1.24 %]\n", + "Levels : 0.000306955 [ 0.21 %]\n", + "Report : 6.63e-07 [ 0.00 %]\n", + "Balance : 3.74e-07 [ 0.00 %]\n", + "Adjust : 0.0642208 [ 44.91 %]\n", + "Total : 0.14299 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6217 585 208 61 71 \n", - "1 : 6236 574 210 61 61 \n", - "2 : 6234 555 238 65 50 \n", - "3 : 6236 548 224 74 60 \n", - "4 : 6202 572 253 68 47 \n", - "5 : 6240 549 225 67 61 \n", - "6 : 6199 579 244 67 53 \n", - "7 : 6205 565 232 70 70 \n", - "8 : 6213 598 215 56 60 \n", - "9 : 6181 597 252 62 50 \n", - "10 : 6220 564 230 62 66 \n", - "11 : 6188 615 223 52 64 \n", - "12 : 6193 604 234 57 54 \n", - "13 : 6200 601 229 66 58 \n", + "0 : 5935 738 272 99 98 \n", + "1 : 5939 699 318 92 94 \n", + "2 : 5930 736 293 87 96 \n", + "3 : 5986 717 255 102 82 \n", + "4 : 5972 693 289 106 82 \n", + "5 : 5936 729 296 90 91 \n", + "6 : 5891 726 317 97 111 \n", + "7 : 5972 694 286 98 92 \n", + "8 : 5933 711 322 82 94 \n", + "9 : 5928 759 277 85 93 \n", + "10 : 5932 717 287 109 97 \n", + "11 : 5970 649 323 104 96 \n", + "12 : 5937 746 287 91 81 \n", + "13 : 6005 661 298 103 87 \n", "\n", - "T : 86964 8106 3217 888 825 [100000]\n", + "T : 83266 9975 4120 1345 1294 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.3%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.4015e-02 sec\n", - "--- Collate = 1.4203e-04 sec\n", + "--- Coef/DT = 3.1%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 9.7606e-03 sec\n", + "--- Collate = 6.5212e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.081728e-05 < 6.250000e-03 [474]\n", - "--- Max DT=3.399299e-01 > 1.000000e-01 [68037]\n", + "--- Min DT=3.462830e-06 < 6.250000e-03 [731]\n", + "--- Max DT=3.527184e-01 > 1.000000e-01 [67385]\n", "----------------------------------------------------------------------\n", - " Component | low: 474/100000\n", - " Component | high: 68037/100000\n", + " Component | low: 731/100000\n", + " Component | high: 67385/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=46] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00118326 [ 0.69 %]\n", - "Velocity : 0.00253695 [ 1.48 %]\n", - "Force : 0.060619 [ 35.45 %]\n", - "Coefs : 0.0229798 [ 13.44 %]\n", - "Output : 0.00719635 [ 4.21 %]\n", - "Levels : 0.0002138 [ 0.13 %]\n", - "Report : 1.583e-06 [ 0.00 %]\n", - "Balance : 9.67e-07 [ 0.00 %]\n", - "Adjust : 0.0761965 [ 44.56 %]\n", - "Total : 0.170987 [100.00 %]\n", + "Drift : 0.00121356 [ 0.83 %]\n", + "Velocity : 0.0036362 [ 2.48 %]\n", + "Force : 0.0508725 [ 34.75 %]\n", + "Coefs : 0.0203382 [ 13.89 %]\n", + "Output : 0.00702321 [ 4.80 %]\n", + "Levels : 0.000259797 [ 0.18 %]\n", + "Report : 1.147e-06 [ 0.00 %]\n", + "Balance : 6.56e-07 [ 0.00 %]\n", + "Adjust : 0.062995 [ 43.03 %]\n", + "Total : 0.146392 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6219 573 217 64 69 \n", - "1 : 6234 572 210 63 63 \n", - "2 : 6234 556 232 65 55 \n", - "3 : 6233 550 224 76 59 \n", - "4 : 6202 567 258 70 45 \n", - "5 : 6238 545 237 63 59 \n", - "6 : 6197 573 246 69 57 \n", - "7 : 6199 572 231 71 69 \n", - "8 : 6215 601 208 57 61 \n", - "9 : 6184 590 255 59 54 \n", - "10 : 6216 566 224 74 62 \n", - "11 : 6184 609 230 55 64 \n", - "12 : 6196 599 234 56 57 \n", - "13 : 6197 610 223 63 61 \n", + "0 : 5931 740 271 102 98 \n", + "1 : 5939 707 300 95 101 \n", + "2 : 5926 740 290 87 99 \n", + "3 : 5981 714 265 93 89 \n", + "4 : 5967 689 305 99 82 \n", + "5 : 5931 737 289 92 93 \n", + "6 : 5894 719 320 96 113 \n", + "7 : 5978 682 290 99 93 \n", + "8 : 5934 710 322 89 87 \n", + "9 : 5925 752 276 98 91 \n", + "10 : 5933 719 287 114 89 \n", + "11 : 5965 651 327 101 98 \n", + "12 : 5934 750 286 98 74 \n", + "13 : 5999 655 319 99 82 \n", "\n", - "T : 86948 8083 3229 905 835 [100000]\n", + "T : 83237 9965 4147 1362 1289 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.6%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.3098e-02 sec\n", - "--- Collate = 9.9655e-05 sec\n", + "--- Coef/DT = 3.0%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 9.6560e-03 sec\n", + "--- Collate = 6.3375e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.248850e-06 < 6.250000e-03 [481]\n", - "--- Max DT=3.403785e-01 > 1.000000e-01 [68021]\n", + "--- Min DT=1.268353e-05 < 6.250000e-03 [746]\n", + "--- Max DT=3.545651e-01 > 1.000000e-01 [67428]\n", "----------------------------------------------------------------------\n", - " Component | low: 481/100000\n", - " Component | high: 68021/100000\n", + " Component | low: 746/100000\n", + " Component | high: 67428/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=46.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000987585 [ 0.58 %]\n", - "Velocity : 0.00341792 [ 2.01 %]\n", - "Force : 0.0615453 [ 36.28 %]\n", - "Coefs : 0.025182 [ 14.84 %]\n", - "Output : 0.00102005 [ 0.60 %]\n", - "Levels : 0.000244913 [ 0.14 %]\n", - "Report : 7.35e-07 [ 0.00 %]\n", - "Balance : 3.74e-07 [ 0.00 %]\n", - "Adjust : 0.0771929 [ 45.50 %]\n", - "Total : 0.169647 [100.00 %]\n", + "Drift : 0.00119545 [ 0.83 %]\n", + "Velocity : 0.00391816 [ 2.72 %]\n", + "Force : 0.0513644 [ 35.70 %]\n", + "Coefs : 0.0201475 [ 14.00 %]\n", + "Output : 0.00196422 [ 1.37 %]\n", + "Levels : 0.000259984 [ 0.18 %]\n", + "Report : 5.57e-07 [ 0.00 %]\n", + "Balance : 4.07e-07 [ 0.00 %]\n", + "Adjust : 0.0649737 [ 45.15 %]\n", + "Total : 0.143898 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6221 574 210 70 67 \n", - "1 : 6235 571 206 71 59 \n", - "2 : 6226 570 222 70 54 \n", - "3 : 6227 557 227 70 61 \n", - "4 : 6194 576 261 66 45 \n", - "5 : 6232 551 235 65 59 \n", - "6 : 6194 580 239 69 60 \n", - "7 : 6197 566 244 65 70 \n", - "8 : 6220 592 202 70 58 \n", - "9 : 6187 590 247 68 50 \n", - "10 : 6215 572 213 81 61 \n", - "11 : 6182 620 215 59 66 \n", - "12 : 6191 606 230 58 57 \n", - "13 : 6198 612 220 62 62 \n", + "0 : 5936 730 275 103 98 \n", + "1 : 5938 711 299 94 100 \n", + "2 : 5935 729 294 84 100 \n", + "3 : 5984 706 273 90 89 \n", + "4 : 5963 688 311 93 87 \n", + "5 : 5928 744 285 93 92 \n", + "6 : 5894 720 319 100 109 \n", + "7 : 5977 684 290 95 96 \n", + "8 : 5932 708 322 88 92 \n", + "9 : 5922 746 282 106 86 \n", + "10 : 5927 718 298 113 86 \n", + "11 : 5967 652 324 100 99 \n", + "12 : 5929 754 288 101 70 \n", + "13 : 5992 661 321 93 87 \n", "\n", - "T : 86919 8137 3171 944 829 [100000]\n", + "T : 83224 9951 4181 1353 1291 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.5%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.1916e-02 sec\n", - "--- Collate = 9.0028e-05 sec\n", + "--- Coef/DT = 2.9%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 9.8046e-03 sec\n", + "--- Collate = 8.2372e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.902383e-07 < 6.250000e-03 [489]\n", - "--- Max DT=3.408099e-01 > 1.000000e-01 [67988]\n", + "--- Min DT=1.365980e-05 < 6.250000e-03 [745]\n", + "--- Max DT=3.563749e-01 > 1.000000e-01 [67440]\n", "----------------------------------------------------------------------\n", - " Component | low: 489/100000\n", - " Component | high: 67988/100000\n", + " Component | low: 745/100000\n", + " Component | high: 67440/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=46.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000959472 [ 0.59 %]\n", - "Velocity : 0.00321438 [ 1.99 %]\n", - "Force : 0.0573489 [ 35.44 %]\n", - "Coefs : 0.0232017 [ 14.34 %]\n", - "Output : 0.00103837 [ 0.64 %]\n", - "Levels : 0.000251746 [ 0.16 %]\n", - "Report : 1.127e-06 [ 0.00 %]\n", - "Balance : 4.55e-07 [ 0.00 %]\n", - "Adjust : 0.0757392 [ 46.81 %]\n", - "Total : 0.161805 [100.00 %]\n", + "Drift : 0.00122303 [ 0.86 %]\n", + "Velocity : 0.00366264 [ 2.59 %]\n", + "Force : 0.0508883 [ 35.92 %]\n", + "Coefs : 0.0201754 [ 14.24 %]\n", + "Output : 0.00181544 [ 1.28 %]\n", + "Levels : 0.000259229 [ 0.18 %]\n", + "Report : 7.19e-07 [ 0.00 %]\n", + "Balance : 3.81e-07 [ 0.00 %]\n", + "Adjust : 0.0635959 [ 44.89 %]\n", + "Total : 0.141678 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6217 582 200 80 63 \n", - "1 : 6235 567 210 69 61 \n", - "2 : 6228 561 230 68 55 \n", - "3 : 6226 550 236 71 59 \n", - "4 : 6194 573 261 66 48 \n", - "5 : 6238 553 226 60 65 \n", - "6 : 6191 586 235 69 61 \n", - "7 : 6194 564 244 66 74 \n", - "8 : 6222 581 208 70 61 \n", - "9 : 6184 586 253 66 53 \n", - "10 : 6213 570 222 72 65 \n", - "11 : 6174 625 212 64 67 \n", - "12 : 6193 598 234 61 56 \n", - "13 : 6204 604 222 67 57 \n", + "0 : 5935 731 284 93 99 \n", + "1 : 5936 715 299 97 95 \n", + "2 : 5930 716 311 90 95 \n", + "3 : 5980 708 274 87 93 \n", + "4 : 5969 688 307 92 86 \n", + "5 : 5922 740 292 91 97 \n", + "6 : 5885 737 305 103 112 \n", + "7 : 5972 691 283 104 92 \n", + "8 : 5927 712 311 106 86 \n", + "9 : 5924 745 274 111 88 \n", + "10 : 5928 717 299 111 87 \n", + "11 : 5967 664 308 102 101 \n", + "12 : 5928 752 285 100 77 \n", + "13 : 5991 666 319 89 89 \n", "\n", - "T : 86913 8100 3193 949 845 [100000]\n", + "T : 83194 9982 4151 1376 1297 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.2392e-02 sec\n", - "--- Collate = 7.5055e-05 sec\n", + "--- Coef/DT = 3.4%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 9.6865e-03 sec\n", + "--- Collate = 6.4601e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.432129e-06 < 6.250000e-03 [516]\n", - "--- Max DT=3.412335e-01 > 1.000000e-01 [67966]\n", + "--- Min DT=1.179865e-05 < 6.250000e-03 [725]\n", + "--- Max DT=3.581704e-01 > 1.000000e-01 [67465]\n", "----------------------------------------------------------------------\n", - " Component | low: 516/100000\n", - " Component | high: 67966/100000\n", + " Component | low: 725/100000\n", + " Component | high: 67465/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=46.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000890177 [ 0.54 %]\n", - "Velocity : 0.00272571 [ 1.65 %]\n", - "Force : 0.0611435 [ 37.09 %]\n", - "Coefs : 0.0245492 [ 14.89 %]\n", - "Output : 0.00186025 [ 1.13 %]\n", - "Levels : 0.000339052 [ 0.21 %]\n", - "Report : 1.046e-06 [ 0.00 %]\n", - "Balance : 4.34e-07 [ 0.00 %]\n", - "Adjust : 0.0732684 [ 44.45 %]\n", - "Total : 0.164834 [100.00 %]\n", + "Drift : 0.00121203 [ 0.85 %]\n", + "Velocity : 0.00370621 [ 2.59 %]\n", + "Force : 0.051494 [ 35.99 %]\n", + "Coefs : 0.0202641 [ 14.16 %]\n", + "Output : 0.00179743 [ 1.26 %]\n", + "Levels : 0.000271178 [ 0.19 %]\n", + "Report : 9.41e-07 [ 0.00 %]\n", + "Balance : 3.38e-07 [ 0.00 %]\n", + "Adjust : 0.0642953 [ 44.93 %]\n", + "Total : 0.143096 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6214 583 200 78 67 \n", - "1 : 6240 568 204 60 70 \n", - "2 : 6222 567 228 66 59 \n", - "3 : 6225 546 241 72 58 \n", - "4 : 6198 569 256 68 51 \n", - "5 : 6242 544 227 67 62 \n", - "6 : 6197 581 233 67 64 \n", - "7 : 6190 572 238 68 74 \n", - "8 : 6223 580 208 61 70 \n", - "9 : 6181 588 252 69 52 \n", - "10 : 6210 569 221 80 62 \n", - "11 : 6179 615 217 55 76 \n", - "12 : 6193 598 231 65 55 \n", - "13 : 6198 602 226 66 62 \n", + "0 : 5923 744 288 96 91 \n", + "1 : 5934 708 307 103 90 \n", + "2 : 5931 721 301 96 93 \n", + "3 : 5974 718 266 94 90 \n", + "4 : 5966 686 310 91 89 \n", + "5 : 5915 737 300 97 93 \n", + "6 : 5876 735 317 101 113 \n", + "7 : 5974 681 290 94 103 \n", + "8 : 5933 708 309 106 86 \n", + "9 : 5923 747 275 103 94 \n", + "10 : 5923 718 300 115 86 \n", + "11 : 5970 662 305 105 100 \n", + "12 : 5914 771 275 99 83 \n", + "13 : 5988 662 319 92 93 \n", "\n", - "T : 86912 8082 3182 942 882 [100000]\n", + "T : 83144 9998 4162 1392 1304 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.7%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.2575e-02 sec\n", - "--- Collate = 7.9035e-05 sec\n", + "--- Coef/DT = 3.3%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 9.7815e-03 sec\n", + "--- Collate = 7.4953e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.539950e-06 < 6.250000e-03 [514]\n", - "--- Max DT=3.416433e-01 > 1.000000e-01 [67919]\n", + "--- Min DT=3.700270e-06 < 6.250000e-03 [738]\n", + "--- Max DT=3.599423e-01 > 1.000000e-01 [67526]\n", "----------------------------------------------------------------------\n", - " Component | low: 514/100000\n", - " Component | high: 67919/100000\n", + " Component | low: 738/100000\n", + " Component | high: 67526/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=46.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00135403 [ 0.74 %]\n", - "Velocity : 0.00364294 [ 1.99 %]\n", - "Force : 0.0704034 [ 38.37 %]\n", - "Coefs : 0.0260377 [ 14.19 %]\n", - "Output : 0.00194838 [ 1.06 %]\n", - "Levels : 0.000382751 [ 0.21 %]\n", - "Report : 8.28e-07 [ 0.00 %]\n", - "Balance : 3.9e-07 [ 0.00 %]\n", - "Adjust : 0.0796586 [ 43.41 %]\n", - "Total : 0.183485 [100.00 %]\n", + "Drift : 0.0012433 [ 0.88 %]\n", + "Velocity : 0.00361916 [ 2.55 %]\n", + "Force : 0.0509304 [ 35.87 %]\n", + "Coefs : 0.0201038 [ 14.16 %]\n", + "Output : 0.00180065 [ 1.27 %]\n", + "Levels : 0.000290568 [ 0.20 %]\n", + "Report : 4.93e-07 [ 0.00 %]\n", + "Balance : 3.49e-07 [ 0.00 %]\n", + "Adjust : 0.0639407 [ 45.03 %]\n", + "Total : 0.141984 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6209 580 209 71 73 \n", - "1 : 6233 572 208 62 67 \n", - "2 : 6216 572 229 66 59 \n", - "3 : 6221 547 243 68 63 \n", - "4 : 6197 568 262 63 52 \n", - "5 : 6238 539 230 71 64 \n", - "6 : 6194 583 240 61 64 \n", - "7 : 6190 574 235 71 72 \n", - "8 : 6224 579 212 55 72 \n", - "9 : 6178 604 235 73 52 \n", - "10 : 6199 578 219 75 71 \n", - "11 : 6184 611 218 50 79 \n", - "12 : 6196 592 233 62 59 \n", - "13 : 6198 598 226 72 60 \n", + "0 : 5921 744 293 89 95 \n", + "1 : 5932 703 315 102 90 \n", + "2 : 5931 712 309 103 87 \n", + "3 : 5974 718 272 88 90 \n", + "4 : 5967 688 308 94 85 \n", + "5 : 5925 726 305 93 93 \n", + "6 : 5873 741 308 107 113 \n", + "7 : 5977 678 288 95 104 \n", + "8 : 5927 711 314 106 84 \n", + "9 : 5926 736 282 108 90 \n", + "10 : 5918 722 297 122 83 \n", + "11 : 5976 654 309 97 106 \n", + "12 : 5913 764 286 102 77 \n", + "13 : 5987 663 313 97 94 \n", "\n", - "T : 86877 8097 3199 920 907 [100000]\n", + "T : 83147 9960 4199 1403 1291 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.9%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.4849e-02 sec\n", - "--- Collate = 9.0244e-05 sec\n", + "--- Coef/DT = 3.3%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 9.7004e-03 sec\n", + "--- Collate = 6.9764e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.674535e-06 < 6.250000e-03 [542]\n", - "--- Max DT=3.420464e-01 > 1.000000e-01 [67904]\n", + "--- Min DT=2.319505e-06 < 6.250000e-03 [726]\n", + "--- Max DT=3.616831e-01 > 1.000000e-01 [67550]\n", "----------------------------------------------------------------------\n", - " Component | low: 542/100000\n", - " Component | high: 67904/100000\n", + " Component | low: 726/100000\n", + " Component | high: 67550/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=46.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00111779 [ 0.63 %]\n", - "Velocity : 0.00320432 [ 1.81 %]\n", - "Force : 0.0654235 [ 36.89 %]\n", - "Coefs : 0.0265824 [ 14.99 %]\n", - "Output : 0.00105362 [ 0.59 %]\n", - "Levels : 0.000302741 [ 0.17 %]\n", - "Report : 1.385e-06 [ 0.00 %]\n", - "Balance : 7.35e-07 [ 0.00 %]\n", - "Adjust : 0.0796035 [ 44.89 %]\n", - "Total : 0.177343 [100.00 %]\n", + "Drift : 0.00117667 [ 0.82 %]\n", + "Velocity : 0.00371542 [ 2.60 %]\n", + "Force : 0.0512136 [ 35.90 %]\n", + "Coefs : 0.0201825 [ 14.15 %]\n", + "Output : 0.00184891 [ 1.30 %]\n", + "Levels : 0.000249564 [ 0.17 %]\n", + "Report : 6.24e-07 [ 0.00 %]\n", + "Balance : 3.44e-07 [ 0.00 %]\n", + "Adjust : 0.0641982 [ 45.01 %]\n", + "Total : 0.142638 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6207 581 208 77 69 \n", - "1 : 6229 578 203 66 66 \n", - "2 : 6213 572 228 64 65 \n", - "3 : 6219 551 252 59 61 \n", - "4 : 6196 565 262 69 50 \n", - "5 : 6240 532 235 70 65 \n", - "6 : 6190 590 237 56 69 \n", - "7 : 6192 569 237 72 72 \n", - "8 : 6225 576 204 74 63 \n", - "9 : 6183 598 236 76 49 \n", - "10 : 6196 578 227 69 72 \n", - "11 : 6183 603 223 54 79 \n", - "12 : 6195 588 239 57 63 \n", - "13 : 6207 590 226 68 63 \n", + "0 : 5927 724 305 95 91 \n", + "1 : 5930 704 313 105 90 \n", + "2 : 5923 712 318 93 96 \n", + "3 : 5976 715 273 87 91 \n", + "4 : 5957 700 300 100 85 \n", + "5 : 5920 734 305 90 93 \n", + "6 : 5880 736 308 108 110 \n", + "7 : 5975 674 289 96 108 \n", + "8 : 5924 707 318 102 91 \n", + "9 : 5924 729 281 110 98 \n", + "10 : 5920 723 296 114 89 \n", + "11 : 5985 649 308 94 106 \n", + "12 : 5905 760 296 98 83 \n", + "13 : 5987 665 309 91 102 \n", "\n", - "T : 86875 8071 3217 931 906 [100000]\n", + "T : 83133 9932 4219 1383 1333 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.5%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.2845e-02 sec\n", - "--- Collate = 9.2258e-05 sec\n", + "--- Coef/DT = 3.1%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 9.6394e-03 sec\n", + "--- Collate = 6.8430e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.719679e-05 < 6.250000e-03 [564]\n", - "--- Max DT=3.424417e-01 > 1.000000e-01 [67884]\n", + "--- Min DT=6.012606e-06 < 6.250000e-03 [715]\n", + "--- Max DT=3.634097e-01 > 1.000000e-01 [67569]\n", "----------------------------------------------------------------------\n", - " Component | low: 564/100000\n", - " Component | high: 67884/100000\n", + " Component | low: 715/100000\n", + " Component | high: 67569/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=46.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000699082 [ 0.39 %]\n", - "Velocity : 0.001999 [ 1.10 %]\n", - "Force : 0.0686066 [ 37.87 %]\n", - "Coefs : 0.0354276 [ 19.55 %]\n", - "Output : 0.00141454 [ 0.78 %]\n", - "Levels : 0.000316286 [ 0.17 %]\n", - "Report : 1.524e-06 [ 0.00 %]\n", - "Balance : 5.92e-07 [ 0.00 %]\n", - "Adjust : 0.0726647 [ 40.10 %]\n", - "Total : 0.181187 [100.00 %]\n", + "Drift : 0.00124585 [ 0.87 %]\n", + "Velocity : 0.00371832 [ 2.58 %]\n", + "Force : 0.0515251 [ 35.78 %]\n", + "Coefs : 0.0205133 [ 14.25 %]\n", + "Output : 0.00190101 [ 1.32 %]\n", + "Levels : 0.000251834 [ 0.17 %]\n", + "Report : 5.84e-07 [ 0.00 %]\n", + "Balance : 3.81e-07 [ 0.00 %]\n", + "Adjust : 0.064778 [ 44.99 %]\n", + "Total : 0.143991 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6203 580 211 80 68 \n", - "1 : 6229 572 207 69 65 \n", - "2 : 6212 583 216 65 66 \n", - "3 : 6216 552 253 60 61 \n", - "4 : 6197 559 262 70 54 \n", - "5 : 6237 543 223 74 65 \n", - "6 : 6190 593 232 53 74 \n", - "7 : 6191 571 233 70 77 \n", - "8 : 6225 576 196 84 61 \n", - "9 : 6178 596 250 60 58 \n", - "10 : 6194 586 223 67 72 \n", - "11 : 6183 598 231 52 78 \n", - "12 : 6194 588 244 56 60 \n", - "13 : 6195 603 223 65 68 \n", + "0 : 5925 727 296 100 94 \n", + "1 : 5918 716 309 103 96 \n", + "2 : 5917 709 320 103 93 \n", + "3 : 5974 713 279 85 91 \n", + "4 : 5952 703 301 97 89 \n", + "5 : 5917 734 309 87 95 \n", + "6 : 5880 734 313 105 110 \n", + "7 : 5970 673 294 99 106 \n", + "8 : 5928 697 323 109 85 \n", + "9 : 5925 728 282 109 98 \n", + "10 : 5923 707 308 112 92 \n", + "11 : 5983 634 329 86 110 \n", + "12 : 5891 776 298 88 89 \n", + "13 : 5981 675 301 97 100 \n", "\n", - "T : 86844 8100 3204 925 927 [100000]\n", + "T : 83084 9926 4262 1380 1348 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.6%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.1483e-02 sec\n", - "--- Collate = 9.9115e-05 sec\n", + "--- Coef/DT = 3.6%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 9.8986e-03 sec\n", + "--- Collate = 7.1540e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.443549e-06 < 6.250000e-03 [569]\n", - "--- Max DT=3.428255e-01 > 1.000000e-01 [67858]\n", + "--- Min DT=7.000617e-06 < 6.250000e-03 [710]\n", + "--- Max DT=3.651061e-01 > 1.000000e-01 [67572]\n", "----------------------------------------------------------------------\n", - " Component | low: 569/100000\n", - " Component | high: 67858/100000\n", + " Component | low: 710/100000\n", + " Component | high: 67572/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=46.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000619346 [ 0.39 %]\n", - "Velocity : 0.00184003 [ 1.15 %]\n", - "Force : 0.0594966 [ 37.24 %]\n", - "Coefs : 0.0265674 [ 16.63 %]\n", - "Output : 0.00105019 [ 0.66 %]\n", - "Levels : 0.000286055 [ 0.18 %]\n", - "Report : 1.321e-06 [ 0.00 %]\n", - "Balance : 6.85e-07 [ 0.00 %]\n", - "Adjust : 0.0698218 [ 43.71 %]\n", - "Total : 0.159745 [100.00 %]\n", + "Drift : 0.00118396 [ 0.83 %]\n", + "Velocity : 0.00366426 [ 2.56 %]\n", + "Force : 0.0514254 [ 35.92 %]\n", + "Coefs : 0.0202169 [ 14.12 %]\n", + "Output : 0.00180552 [ 1.26 %]\n", + "Levels : 0.000250872 [ 0.18 %]\n", + "Report : 5.36e-07 [ 0.00 %]\n", + "Balance : 3.48e-07 [ 0.00 %]\n", + "Adjust : 0.0645836 [ 45.10 %]\n", + "Total : 0.143185 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6197 585 212 82 66 \n", - "1 : 6240 560 207 76 59 \n", - "2 : 6222 565 222 66 67 \n", - "3 : 6215 554 253 58 62 \n", - "4 : 6194 572 250 74 52 \n", - "5 : 6236 544 221 75 66 \n", - "6 : 6190 586 238 57 71 \n", - "7 : 6190 569 237 62 84 \n", - "8 : 6219 584 196 77 66 \n", - "9 : 6179 593 249 60 61 \n", - "10 : 6199 582 217 71 73 \n", - "11 : 6180 599 232 51 80 \n", - "12 : 6202 574 250 57 59 \n", - "13 : 6197 598 225 57 77 \n", + "0 : 5914 730 298 103 97 \n", + "1 : 5917 722 303 106 94 \n", + "2 : 5914 715 325 99 89 \n", + "3 : 5972 714 281 94 81 \n", + "4 : 5947 703 301 100 91 \n", + "5 : 5920 727 311 91 93 \n", + "6 : 5882 723 315 115 107 \n", + "7 : 5975 669 291 95 112 \n", + "8 : 5922 705 320 109 86 \n", + "9 : 5926 728 286 103 99 \n", + "10 : 5928 702 310 111 91 \n", + "11 : 5982 641 319 97 103 \n", + "12 : 5886 777 304 86 89 \n", + "13 : 5975 680 310 87 102 \n", "\n", - "T : 86860 8065 3209 923 943 [100000]\n", + "T : 83060 9936 4274 1396 1334 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.3715e-02 sec\n", - "--- Collate = 9.5114e-05 sec\n", + "--- Coef/DT = 3.2%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 9.6988e-03 sec\n", + "--- Collate = 7.3891e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.285089e-05 < 6.250000e-03 [578]\n", - "--- Max DT=3.431993e-01 > 1.000000e-01 [67833]\n", + "--- Min DT=2.471542e-05 < 6.250000e-03 [738]\n", + "--- Max DT=3.667797e-01 > 1.000000e-01 [67585]\n", "----------------------------------------------------------------------\n", - " Component | low: 578/100000\n", - " Component | high: 67833/100000\n", + " Component | low: 738/100000\n", + " Component | high: 67585/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=46.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000576244 [ 0.34 %]\n", - "Velocity : 0.00186086 [ 1.10 %]\n", - "Force : 0.062798 [ 37.28 %]\n", - "Coefs : 0.025885 [ 15.37 %]\n", - "Output : 0.00110448 [ 0.66 %]\n", - "Levels : 0.000322559 [ 0.19 %]\n", - "Report : 1.138e-06 [ 0.00 %]\n", - "Balance : 6.4e-07 [ 0.00 %]\n", - "Adjust : 0.0758234 [ 45.02 %]\n", - "Total : 0.168428 [100.00 %]\n", + "Drift : 0.00120108 [ 0.84 %]\n", + "Velocity : 0.00371566 [ 2.59 %]\n", + "Force : 0.0517779 [ 36.06 %]\n", + "Coefs : 0.0204658 [ 14.25 %]\n", + "Output : 0.00185276 [ 1.29 %]\n", + "Levels : 0.000286364 [ 0.20 %]\n", + "Report : 5.36e-07 [ 0.00 %]\n", + "Balance : 3.49e-07 [ 0.00 %]\n", + "Adjust : 0.0642522 [ 44.74 %]\n", + "Total : 0.143605 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6203 576 215 77 71 \n", - "1 : 6234 567 208 73 60 \n", - "2 : 6217 571 222 69 63 \n", - "3 : 6206 566 249 62 59 \n", - "4 : 6199 566 247 79 51 \n", - "5 : 6236 544 224 67 71 \n", - "6 : 6193 594 228 55 72 \n", - "7 : 6192 575 221 77 77 \n", - "8 : 6215 588 188 82 69 \n", - "9 : 6171 602 243 62 64 \n", - "10 : 6194 580 225 64 79 \n", - "11 : 6179 601 233 47 82 \n", - "12 : 6196 588 240 65 53 \n", - "13 : 6195 594 228 54 83 \n", + "0 : 5912 733 297 104 96 \n", + "1 : 5910 726 305 112 89 \n", + "2 : 5911 722 321 98 90 \n", + "3 : 5972 715 280 95 80 \n", + "4 : 5943 708 296 107 88 \n", + "5 : 5915 739 296 100 92 \n", + "6 : 5885 717 319 117 104 \n", + "7 : 5967 681 286 97 111 \n", + "8 : 5922 701 323 109 87 \n", + "9 : 5924 731 286 108 93 \n", + "10 : 5920 704 316 108 94 \n", + "11 : 5979 638 327 102 96 \n", + "12 : 5892 761 313 83 93 \n", + "13 : 5972 685 305 93 99 \n", "\n", - "T : 86830 8112 3171 933 954 [100000]\n", + "T : 83024 9961 4270 1433 1312 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.8%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.2485e-02 sec\n", - "--- Collate = 8.7382e-05 sec\n", + "--- Coef/DT = 3.2%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 9.9258e-03 sec\n", + "--- Collate = 7.2801e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.242657e-06 < 6.250000e-03 [563]\n", - "--- Max DT=3.435658e-01 > 1.000000e-01 [67839]\n", + "--- Min DT=2.488379e-06 < 6.250000e-03 [746]\n", + "--- Max DT=3.684192e-01 > 1.000000e-01 [67615]\n", "----------------------------------------------------------------------\n", - " Component | low: 563/100000\n", - " Component | high: 67839/100000\n", + " Component | low: 746/100000\n", + " Component | high: 67615/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=46.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000523659 [ 0.32 %]\n", - "Velocity : 0.0016457 [ 1.00 %]\n", - "Force : 0.0631046 [ 38.25 %]\n", - "Coefs : 0.0265164 [ 16.07 %]\n", - "Output : 0.00102304 [ 0.62 %]\n", - "Levels : 0.000214948 [ 0.13 %]\n", - "Report : 1.457e-06 [ 0.00 %]\n", - "Balance : 5.37e-07 [ 0.00 %]\n", - "Adjust : 0.0718828 [ 43.57 %]\n", - "Total : 0.164966 [100.00 %]\n", + "Drift : 0.00123282 [ 0.85 %]\n", + "Velocity : 0.00378792 [ 2.62 %]\n", + "Force : 0.0515839 [ 35.72 %]\n", + "Coefs : 0.0211333 [ 14.63 %]\n", + "Output : 0.00189464 [ 1.31 %]\n", + "Levels : 0.000260159 [ 0.18 %]\n", + "Report : 5.16e-07 [ 0.00 %]\n", + "Balance : 4.07e-07 [ 0.00 %]\n", + "Adjust : 0.0644812 [ 44.65 %]\n", + "Total : 0.144427 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6203 575 213 73 78 \n", - "1 : 6235 559 212 78 58 \n", - "2 : 6215 572 222 69 64 \n", - "3 : 6198 568 251 67 58 \n", - "4 : 6197 571 241 82 51 \n", - "5 : 6236 545 225 68 68 \n", - "6 : 6193 593 224 58 74 \n", - "7 : 6188 576 223 81 74 \n", - "8 : 6219 585 192 76 70 \n", - "9 : 6170 605 234 69 64 \n", - "10 : 6197 579 215 68 83 \n", - "11 : 6174 602 240 46 80 \n", - "12 : 6199 583 233 66 61 \n", - "13 : 6192 589 231 60 82 \n", + "0 : 5921 724 300 97 100 \n", + "1 : 5910 716 323 101 92 \n", + "2 : 5910 723 327 95 87 \n", + "3 : 5971 713 284 85 89 \n", + "4 : 5953 696 302 110 81 \n", + "5 : 5911 745 300 106 80 \n", + "6 : 5879 720 318 128 97 \n", + "7 : 5957 687 288 92 118 \n", + "8 : 5920 699 333 102 88 \n", + "9 : 5926 725 288 108 95 \n", + "10 : 5909 711 318 113 91 \n", + "11 : 5970 653 321 104 94 \n", + "12 : 5886 763 315 84 94 \n", + "13 : 5975 682 312 88 97 \n", "\n", - "T : 86816 8102 3156 961 965 [100000]\n", + "T : 82998 9957 4329 1413 1303 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.1%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.2001e-02 sec\n", - "--- Collate = 7.5054e-05 sec\n", + "--- Coef/DT = 3.7%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 1.0024e-02 sec\n", + "--- Collate = 6.5759e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.877341e-06 < 6.250000e-03 [597]\n", - "--- Max DT=3.439239e-01 > 1.000000e-01 [67821]\n", + "--- Min DT=9.910041e-07 < 6.250000e-03 [754]\n", + "--- Max DT=3.700494e-01 > 1.000000e-01 [67662]\n", "----------------------------------------------------------------------\n", - " Component | low: 597/100000\n", - " Component | high: 67821/100000\n", + " Component | low: 754/100000\n", + " Component | high: 67662/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=47] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000724552 [ 0.45 %]\n", - "Velocity : 0.0019811 [ 1.23 %]\n", - "Force : 0.0587588 [ 36.38 %]\n", - "Coefs : 0.0240521 [ 14.89 %]\n", - "Output : 0.00664876 [ 4.12 %]\n", - "Levels : 0.000181591 [ 0.11 %]\n", - "Report : 1.466e-06 [ 0.00 %]\n", - "Balance : 8.97e-07 [ 0.00 %]\n", - "Adjust : 0.069119 [ 42.79 %]\n", - "Total : 0.161517 [100.00 %]\n", + "Drift : 0.00125966 [ 0.85 %]\n", + "Velocity : 0.00377743 [ 2.54 %]\n", + "Force : 0.0519735 [ 34.95 %]\n", + "Coefs : 0.0204022 [ 13.72 %]\n", + "Output : 0.00665706 [ 4.48 %]\n", + "Levels : 0.000300047 [ 0.20 %]\n", + "Report : 1.242e-06 [ 0.00 %]\n", + "Balance : 6.47e-07 [ 0.00 %]\n", + "Adjust : 0.0643035 [ 43.24 %]\n", + "Total : 0.148726 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6200 576 217 65 84 \n", - "1 : 6227 565 212 73 65 \n", - "2 : 6210 577 218 70 67 \n", - "3 : 6196 575 253 60 58 \n", - "4 : 6197 574 239 84 48 \n", - "5 : 6237 549 220 71 65 \n", - "6 : 6191 601 218 58 74 \n", - "7 : 6177 582 230 77 76 \n", - "8 : 6218 583 200 70 71 \n", - "9 : 6166 609 238 61 68 \n", - "10 : 6195 582 209 68 88 \n", - "11 : 6171 606 236 55 74 \n", - "12 : 6196 587 227 70 62 \n", - "13 : 6193 586 231 68 76 \n", + "0 : 5922 718 300 102 100 \n", + "1 : 5903 723 335 92 89 \n", + "2 : 5907 719 339 86 91 \n", + "3 : 5962 726 278 87 89 \n", + "4 : 5950 695 306 108 83 \n", + "5 : 5911 751 304 94 82 \n", + "6 : 5878 724 321 122 97 \n", + "7 : 5959 689 285 102 107 \n", + "8 : 5919 704 324 105 90 \n", + "9 : 5919 729 295 104 95 \n", + "10 : 5905 717 316 114 90 \n", + "11 : 5962 656 323 97 104 \n", + "12 : 5882 770 311 81 98 \n", + "13 : 5973 689 304 95 93 \n", "\n", - "T : 86774 8152 3148 950 976 [100000]\n", + "T : 82952 10010 4341 1389 1308 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.8%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.2120e-02 sec\n", - "--- Collate = 7.4532e-05 sec\n", + "--- Coef/DT = 3.3%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 1.0021e-02 sec\n", + "--- Collate = 7.6847e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.913941e-05 < 6.250000e-03 [587]\n", - "--- Max DT=3.442746e-01 > 1.000000e-01 [67806]\n", + "--- Min DT=1.885670e-06 < 6.250000e-03 [747]\n", + "--- Max DT=3.716546e-01 > 1.000000e-01 [67692]\n", "----------------------------------------------------------------------\n", - " Component | low: 587/100000\n", - " Component | high: 67806/100000\n", + " Component | low: 747/100000\n", + " Component | high: 67692/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=47.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000710738 [ 0.45 %]\n", - "Velocity : 0.00202625 [ 1.28 %]\n", - "Force : 0.0596248 [ 37.61 %]\n", - "Coefs : 0.0252314 [ 15.91 %]\n", - "Output : 0.00107551 [ 0.68 %]\n", - "Levels : 0.000234637 [ 0.15 %]\n", - "Report : 1.224e-06 [ 0.00 %]\n", - "Balance : 6.12e-07 [ 0.00 %]\n", - "Adjust : 0.0695981 [ 43.90 %]\n", - "Total : 0.158552 [100.00 %]\n", + "Drift : 0.00121509 [ 0.84 %]\n", + "Velocity : 0.00395247 [ 2.72 %]\n", + "Force : 0.051625 [ 35.55 %]\n", + "Coefs : 0.0204313 [ 14.07 %]\n", + "Output : 0.00186064 [ 1.28 %]\n", + "Levels : 0.00025058 [ 0.17 %]\n", + "Report : 6.35e-07 [ 0.00 %]\n", + "Balance : 3.49e-07 [ 0.00 %]\n", + "Adjust : 0.0658399 [ 45.34 %]\n", + "Total : 0.145227 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6202 577 215 68 80 \n", - "1 : 6226 564 208 78 66 \n", - "2 : 6211 573 214 73 71 \n", - "3 : 6187 590 247 59 59 \n", - "4 : 6197 567 255 71 52 \n", - "5 : 6232 546 229 66 69 \n", - "6 : 6186 606 213 61 76 \n", - "7 : 6180 581 229 80 72 \n", - "8 : 6215 584 204 71 68 \n", - "9 : 6172 599 235 68 68 \n", - "10 : 6191 588 205 70 88 \n", - "11 : 6175 600 240 56 71 \n", - "12 : 6192 594 217 75 64 \n", - "13 : 6192 592 224 66 80 \n", + "0 : 5914 725 303 99 101 \n", + "1 : 5904 726 329 97 86 \n", + "2 : 5898 720 342 89 93 \n", + "3 : 5962 721 289 80 90 \n", + "4 : 5940 706 304 109 83 \n", + "5 : 5919 741 297 105 80 \n", + "6 : 5881 717 322 119 103 \n", + "7 : 5949 695 293 99 106 \n", + "8 : 5923 703 321 114 81 \n", + "9 : 5918 728 299 99 98 \n", + "10 : 5896 728 314 115 89 \n", + "11 : 5959 655 321 98 109 \n", + "12 : 5880 772 314 82 94 \n", + "13 : 5970 696 299 88 101 \n", "\n", - "T : 86758 8161 3135 962 984 [100000]\n", + "T : 82913 10033 4347 1393 1314 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.2%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.3295e-02 sec\n", - "--- Collate = 7.9243e-05 sec\n", + "--- Coef/DT = 3.3%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 1.0013e-02 sec\n", + "--- Collate = 7.5441e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.526220e-05 < 6.250000e-03 [583]\n", - "--- Max DT=3.446132e-01 > 1.000000e-01 [67818]\n", + "--- Min DT=8.975210e-06 < 6.250000e-03 [756]\n", + "--- Max DT=3.732434e-01 > 1.000000e-01 [67741]\n", "----------------------------------------------------------------------\n", - " Component | low: 583/100000\n", - " Component | high: 67818/100000\n", + " Component | low: 756/100000\n", + " Component | high: 67741/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=47.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000521533 [ 0.32 %]\n", - "Velocity : 0.0023993 [ 1.49 %]\n", - "Force : 0.0631524 [ 39.22 %]\n", - "Coefs : 0.0250818 [ 15.58 %]\n", - "Output : 0.00120061 [ 0.75 %]\n", - "Levels : 0.000336493 [ 0.21 %]\n", - "Report : 1.49e-06 [ 0.00 %]\n", - "Balance : 8.13e-07 [ 0.00 %]\n", - "Adjust : 0.0682851 [ 42.40 %]\n", - "Total : 0.161031 [100.00 %]\n", + "Drift : 0.00124545 [ 0.86 %]\n", + "Velocity : 0.00380868 [ 2.62 %]\n", + "Force : 0.0519405 [ 35.79 %]\n", + "Coefs : 0.0204865 [ 14.12 %]\n", + "Output : 0.00183743 [ 1.27 %]\n", + "Levels : 0.000325451 [ 0.22 %]\n", + "Report : 4.95e-07 [ 0.00 %]\n", + "Balance : 3.53e-07 [ 0.00 %]\n", + "Adjust : 0.0654081 [ 45.08 %]\n", + "Total : 0.145108 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6202 572 215 75 78 \n", - "1 : 6223 573 205 72 69 \n", - "2 : 6210 565 223 70 74 \n", - "3 : 6192 600 237 51 62 \n", - "4 : 6192 579 245 71 55 \n", - "5 : 6235 547 224 68 68 \n", - "6 : 6185 605 217 53 82 \n", - "7 : 6180 578 232 73 79 \n", - "8 : 6211 585 200 76 70 \n", - "9 : 6174 595 237 72 64 \n", - "10 : 6190 588 202 76 86 \n", - "11 : 6176 588 249 67 62 \n", - "12 : 6194 594 219 73 62 \n", - "13 : 6192 583 232 62 85 \n", + "0 : 5913 720 307 98 104 \n", + "1 : 5902 724 324 107 85 \n", + "2 : 5903 715 337 101 86 \n", + "3 : 5958 725 293 76 90 \n", + "4 : 5929 716 297 118 82 \n", + "5 : 5914 742 299 108 79 \n", + "6 : 5883 717 321 111 110 \n", + "7 : 5938 707 290 96 111 \n", + "8 : 5913 709 322 118 80 \n", + "9 : 5920 724 303 98 97 \n", + "10 : 5895 736 313 107 91 \n", + "11 : 5958 652 323 104 105 \n", + "12 : 5869 781 315 86 91 \n", + "13 : 5972 686 307 97 92 \n", "\n", - "T : 86756 8152 3137 959 996 [100000]\n", + "T : 82867 10054 4351 1425 1303 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.5%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 3.5430e-02 sec\n", - "--- Collate = 1.0530e-04 sec\n", + "--- Coef/DT = 3.2%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 9.4935e-03 sec\n", + "--- Collate = 7.3014e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.108711e-07 < 6.250000e-03 [608]\n", - "--- Max DT=3.449514e-01 > 1.000000e-01 [67813]\n", + "--- Min DT=2.977393e-07 < 6.250000e-03 [748]\n", + "--- Max DT=3.748014e-01 > 1.000000e-01 [67770]\n", "----------------------------------------------------------------------\n", - " Component | low: 608/100000\n", - " Component | high: 67813/100000\n", + " Component | low: 748/100000\n", + " Component | high: 67770/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=47.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00126158 [ 0.71 %]\n", - "Velocity : 0.00216327 [ 1.21 %]\n", - "Force : 0.0581385 [ 32.61 %]\n", - "Coefs : 0.0245669 [ 13.78 %]\n", - "Output : 0.00113754 [ 0.64 %]\n", - "Levels : 0.0002417 [ 0.14 %]\n", - "Report : 1.392e-06 [ 0.00 %]\n", - "Balance : 4.33e-07 [ 0.00 %]\n", - "Adjust : 0.0906915 [ 50.88 %]\n", - "Total : 0.178258 [100.00 %]\n", + "Drift : 0.00127266 [ 0.87 %]\n", + "Velocity : 0.00384355 [ 2.64 %]\n", + "Force : 0.0525359 [ 36.08 %]\n", + "Coefs : 0.0204983 [ 14.08 %]\n", + "Output : 0.0018847 [ 1.29 %]\n", + "Levels : 0.000245524 [ 0.17 %]\n", + "Report : 5.94e-07 [ 0.00 %]\n", + "Balance : 3.7e-07 [ 0.00 %]\n", + "Adjust : 0.0652578 [ 44.82 %]\n", + "Total : 0.14559 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6200 573 214 76 79 \n", - "1 : 6225 570 214 62 71 \n", - "2 : 6213 558 226 70 75 \n", - "3 : 6189 598 243 47 65 \n", - "4 : 6194 581 241 70 56 \n", - "5 : 6230 547 231 68 66 \n", - "6 : 6181 604 219 56 82 \n", - "7 : 6178 582 232 69 81 \n", - "8 : 6210 588 204 67 73 \n", - "9 : 6169 589 247 75 62 \n", - "10 : 6198 579 204 74 87 \n", - "11 : 6176 586 245 71 64 \n", - "12 : 6187 596 221 79 59 \n", - "13 : 6184 596 223 71 80 \n", + "0 : 5914 710 312 101 105 \n", + "1 : 5911 714 321 116 80 \n", + "2 : 5904 720 326 107 85 \n", + "3 : 5957 724 299 73 89 \n", + "4 : 5936 709 297 118 82 \n", + "5 : 5917 739 297 113 76 \n", + "6 : 5879 722 316 116 109 \n", + "7 : 5934 701 300 97 110 \n", + "8 : 5915 707 317 109 94 \n", + "9 : 5927 712 301 106 96 \n", + "10 : 5892 734 315 112 89 \n", + "11 : 5957 653 320 103 109 \n", + "12 : 5866 791 304 94 87 \n", + "13 : 5968 693 303 94 96 \n", "\n", - "T : 86734 8147 3164 955 1000 [100000]\n", + "T : 82877 10029 4328 1459 1307 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.3%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 2.3853e-02 sec\n", - "--- Collate = 1.3862e-04 sec\n", + "--- Coef/DT = 3.6%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 1.0028e-02 sec\n", + "--- Collate = 7.7515e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.648473e-06 < 6.250000e-03 [622]\n", - "--- Max DT=3.452782e-01 > 1.000000e-01 [67797]\n", + "--- Min DT=4.203207e-06 < 6.250000e-03 [714]\n", + "--- Max DT=3.763451e-01 > 1.000000e-01 [67784]\n", "----------------------------------------------------------------------\n", - " Component | low: 622/100000\n", - " Component | high: 67797/100000\n", + " Component | low: 714/100000\n", + " Component | high: 67784/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=47.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000865877 [ 0.27 %]\n", - "Velocity : 0.00321375 [ 1.01 %]\n", - "Force : 0.133095 [ 41.82 %]\n", - "Coefs : 0.0498963 [ 15.68 %]\n", - "Output : 0.00141298 [ 0.44 %]\n", - "Levels : 0.000299922 [ 0.09 %]\n", - "Report : 1.241e-06 [ 0.00 %]\n", - "Balance : 7.23e-07 [ 0.00 %]\n", - "Adjust : 0.129411 [ 40.66 %]\n", - "Total : 0.318253 [100.00 %]\n", + "Drift : 0.00119806 [ 0.82 %]\n", + "Velocity : 0.00382712 [ 2.62 %]\n", + "Force : 0.0520175 [ 35.66 %]\n", + "Coefs : 0.0206618 [ 14.16 %]\n", + "Output : 0.00189663 [ 1.30 %]\n", + "Levels : 0.000243575 [ 0.17 %]\n", + "Report : 4.75e-07 [ 0.00 %]\n", + "Balance : 3.84e-07 [ 0.00 %]\n", + "Adjust : 0.0659709 [ 45.23 %]\n", + "Total : 0.145872 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6201 569 214 86 72 \n", - "1 : 6219 580 209 64 70 \n", - "2 : 6214 553 226 83 66 \n", - "3 : 6191 598 241 51 61 \n", - "4 : 6197 575 237 73 60 \n", - "5 : 6231 546 224 69 72 \n", - "6 : 6178 604 216 63 81 \n", - "7 : 6174 588 228 69 83 \n", - "8 : 6210 584 208 66 74 \n", - "9 : 6163 593 251 69 66 \n", - "10 : 6197 583 202 68 92 \n", - "11 : 6176 587 243 71 65 \n", - "12 : 6189 593 224 67 69 \n", - "13 : 6179 601 228 74 72 \n", + "0 : 5912 718 304 105 103 \n", + "1 : 5905 726 317 114 80 \n", + "2 : 5905 720 324 109 84 \n", + "3 : 5959 720 300 72 91 \n", + "4 : 5933 715 286 117 91 \n", + "5 : 5918 745 292 110 77 \n", + "6 : 5874 729 324 101 114 \n", + "7 : 5922 707 303 95 115 \n", + "8 : 5919 689 328 113 93 \n", + "9 : 5912 722 310 105 93 \n", + "10 : 5890 745 309 105 93 \n", + "11 : 5955 661 314 102 110 \n", + "12 : 5866 794 298 101 83 \n", + "13 : 5966 694 304 95 95 \n", "\n", - "T : 86719 8154 3151 973 1003 [100000]\n", + "T : 82836 10085 4313 1444 1322 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.3%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.7136e-02 sec\n", - "--- Collate = 9.4857e-05 sec\n", + "--- Coef/DT = 3.2%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 9.9041e-03 sec\n", + "--- Collate = 7.1605e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.895514e-06 < 6.250000e-03 [604]\n", - "--- Max DT=3.455879e-01 > 1.000000e-01 [67790]\n", + "--- Min DT=5.307324e-06 < 6.250000e-03 [701]\n", + "--- Max DT=3.778616e-01 > 1.000000e-01 [67823]\n", "----------------------------------------------------------------------\n", - " Component | low: 604/100000\n", - " Component | high: 67790/100000\n", + " Component | low: 701/100000\n", + " Component | high: 67823/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=47.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0008136 [ 0.24 %]\n", - "Velocity : 0.0029788 [ 0.88 %]\n", - "Force : 0.120641 [ 35.60 %]\n", - "Coefs : 0.0483419 [ 14.26 %]\n", - "Output : 0.0015491 [ 0.46 %]\n", - "Levels : 0.000318516 [ 0.09 %]\n", - "Report : 5.81e-07 [ 0.00 %]\n", - "Balance : 4e-07 [ 0.00 %]\n", - "Adjust : 0.164196 [ 48.45 %]\n", - "Total : 0.338901 [100.00 %]\n", + "Drift : 0.00136512 [ 0.94 %]\n", + "Velocity : 0.00389802 [ 2.67 %]\n", + "Force : 0.0519997 [ 35.67 %]\n", + "Coefs : 0.0206847 [ 14.19 %]\n", + "Output : 0.00186834 [ 1.28 %]\n", + "Levels : 0.000243256 [ 0.17 %]\n", + "Report : 6.46e-07 [ 0.00 %]\n", + "Balance : 3.78e-07 [ 0.00 %]\n", + "Adjust : 0.0656588 [ 45.04 %]\n", + "Total : 0.145773 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6203 568 215 81 75 \n", - "1 : 6216 581 214 58 73 \n", - "2 : 6207 560 227 82 66 \n", - "3 : 6188 590 249 53 62 \n", - "4 : 6200 574 234 73 61 \n", - "5 : 6227 553 225 63 74 \n", - "6 : 6182 598 208 78 76 \n", - "7 : 6171 589 229 72 81 \n", - "8 : 6206 584 214 62 76 \n", - "9 : 6162 594 253 67 66 \n", - "10 : 6205 580 192 78 87 \n", - "11 : 6180 581 245 72 64 \n", - "12 : 6191 586 229 66 70 \n", - "13 : 6181 599 227 77 70 \n", + "0 : 5907 708 315 113 99 \n", + "1 : 5913 713 318 116 82 \n", + "2 : 5902 714 332 115 79 \n", + "3 : 5958 719 305 68 92 \n", + "4 : 5937 707 287 119 92 \n", + "5 : 5920 748 295 103 76 \n", + "6 : 5878 717 329 103 115 \n", + "7 : 5919 701 312 98 112 \n", + "8 : 5918 687 341 105 91 \n", + "9 : 5908 728 314 99 93 \n", + "10 : 5886 748 306 117 85 \n", + "11 : 5951 662 312 104 113 \n", + "12 : 5867 783 304 100 88 \n", + "13 : 5966 697 307 93 91 \n", "\n", - "T : 86719 8137 3161 982 1001 [100000]\n", + "T : 82830 10032 4377 1453 1308 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.2191e-02 sec\n", - "--- Collate = 8.5897e-05 sec\n", + "--- Coef/DT = 3.3%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 9.5524e-03 sec\n", + "--- Collate = 6.4613e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.346900e-06 < 6.250000e-03 [599]\n", - "--- Max DT=3.458920e-01 > 1.000000e-01 [67766]\n", + "--- Min DT=3.401163e-07 < 6.250000e-03 [718]\n", + "--- Max DT=3.793716e-01 > 1.000000e-01 [67873]\n", "----------------------------------------------------------------------\n", - " Component | low: 599/100000\n", - " Component | high: 67766/100000\n", + " Component | low: 718/100000\n", + " Component | high: 67873/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=47.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00116987 [ 0.61 %]\n", - "Velocity : 0.00393693 [ 2.04 %]\n", - "Force : 0.0813819 [ 42.27 %]\n", - "Coefs : 0.0245462 [ 12.75 %]\n", - "Output : 0.00168461 [ 0.87 %]\n", - "Levels : 0.000303022 [ 0.16 %]\n", - "Report : 9.49e-07 [ 0.00 %]\n", - "Balance : 4.31e-07 [ 0.00 %]\n", - "Adjust : 0.0794696 [ 41.27 %]\n", - "Total : 0.192549 [100.00 %]\n", + "Drift : 0.00126866 [ 0.88 %]\n", + "Velocity : 0.00384468 [ 2.65 %]\n", + "Force : 0.0521457 [ 35.99 %]\n", + "Coefs : 0.0208099 [ 14.36 %]\n", + "Output : 0.00188161 [ 1.30 %]\n", + "Levels : 0.000261253 [ 0.18 %]\n", + "Report : 4.89e-07 [ 0.00 %]\n", + "Balance : 3.43e-07 [ 0.00 %]\n", + "Adjust : 0.0646136 [ 44.60 %]\n", + "Total : 0.144881 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6199 573 214 75 81 \n", - "1 : 6216 581 207 68 70 \n", - "2 : 6212 557 221 88 64 \n", - "3 : 6184 600 240 55 63 \n", - "4 : 6200 572 233 76 61 \n", - "5 : 6225 550 234 64 69 \n", - "6 : 6178 600 213 77 74 \n", - "7 : 6173 589 227 75 78 \n", - "8 : 6209 580 220 61 72 \n", - "9 : 6161 588 260 65 68 \n", - "10 : 6200 580 197 73 92 \n", - "11 : 6171 595 240 68 68 \n", - "12 : 6190 588 225 61 78 \n", - "13 : 6178 601 226 79 70 \n", + "0 : 5900 718 307 122 95 \n", + "1 : 5916 710 312 117 87 \n", + "2 : 5907 711 324 117 83 \n", + "3 : 5965 709 309 71 88 \n", + "4 : 5935 715 279 120 93 \n", + "5 : 5925 742 294 101 80 \n", + "6 : 5878 727 320 106 111 \n", + "7 : 5925 689 320 101 107 \n", + "8 : 5917 686 342 97 100 \n", + "9 : 5903 734 306 111 88 \n", + "10 : 5886 742 310 120 84 \n", + "11 : 5944 660 326 98 114 \n", + "12 : 5865 781 308 102 86 \n", + "13 : 5963 701 309 94 87 \n", "\n", - "T : 86696 8154 3157 985 1008 [100000]\n", + "T : 82829 10025 4366 1477 1303 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.1%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.2028e-02 sec\n", - "--- Collate = 7.4649e-05 sec\n", + "--- Coef/DT = 3.8%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 9.9152e-03 sec\n", + "--- Collate = 6.7469e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.348670e-07 < 6.250000e-03 [588]\n", - "--- Max DT=3.462737e-01 > 1.000000e-01 [67740]\n", + "--- Min DT=4.598613e-06 < 6.250000e-03 [725]\n", + "--- Max DT=3.808673e-01 > 1.000000e-01 [67881]\n", "----------------------------------------------------------------------\n", - " Component | low: 588/100000\n", - " Component | high: 67740/100000\n", + " Component | low: 725/100000\n", + " Component | high: 67881/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=47.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000932599 [ 0.46 %]\n", - "Velocity : 0.00404651 [ 1.98 %]\n", - "Force : 0.0707078 [ 34.65 %]\n", - "Coefs : 0.0250319 [ 12.27 %]\n", - "Output : 0.00169948 [ 0.83 %]\n", - "Levels : 0.000276967 [ 0.14 %]\n", - "Report : 7.5e-07 [ 0.00 %]\n", - "Balance : 3.66e-07 [ 0.00 %]\n", - "Adjust : 0.101287 [ 49.64 %]\n", - "Total : 0.204038 [100.00 %]\n", + "Drift : 0.00122415 [ 0.84 %]\n", + "Velocity : 0.00377867 [ 2.59 %]\n", + "Force : 0.0518809 [ 35.60 %]\n", + "Coefs : 0.0206927 [ 14.20 %]\n", + "Output : 0.00184895 [ 1.27 %]\n", + "Levels : 0.0002947 [ 0.20 %]\n", + "Report : 5.25e-07 [ 0.00 %]\n", + "Balance : 3.71e-07 [ 0.00 %]\n", + "Adjust : 0.0659508 [ 45.26 %]\n", + "Total : 0.145726 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6199 578 214 70 81 \n", - "1 : 6211 579 222 63 67 \n", - "2 : 6209 563 215 87 68 \n", - "3 : 6185 597 243 56 61 \n", - "4 : 6202 567 239 67 67 \n", - "5 : 6226 555 226 64 71 \n", - "6 : 6179 595 214 78 76 \n", - "7 : 6172 589 228 69 84 \n", - "8 : 6206 578 220 68 70 \n", - "9 : 6162 588 260 61 71 \n", - "10 : 6208 569 196 80 89 \n", - "11 : 6170 596 238 72 66 \n", - "12 : 6187 581 234 59 81 \n", - "13 : 6171 606 227 79 71 \n", + "0 : 5890 723 315 119 95 \n", + "1 : 5913 710 318 104 97 \n", + "2 : 5911 705 316 127 83 \n", + "3 : 5963 705 317 77 80 \n", + "4 : 5942 705 279 122 94 \n", + "5 : 5932 735 296 93 86 \n", + "6 : 5883 722 318 106 113 \n", + "7 : 5925 688 321 105 103 \n", + "8 : 5917 695 331 97 102 \n", + "9 : 5913 733 299 106 91 \n", + "10 : 5891 736 314 116 85 \n", + "11 : 5942 661 326 101 112 \n", + "12 : 5861 785 309 100 87 \n", + "13 : 5960 703 305 97 89 \n", "\n", - "T : 86687 8141 3176 973 1023 [100000]\n", + "T : 82843 10006 4364 1470 1317 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.2%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.1135e-02 sec\n", - "--- Collate = 5.8759e-05 sec\n", + "--- Coef/DT = 3.0%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 9.7711e-03 sec\n", + "--- Collate = 6.6541e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.702715e-06 < 6.250000e-03 [581]\n", - "--- Max DT=3.466757e-01 > 1.000000e-01 [67758]\n", + "--- Min DT=5.464095e-07 < 6.250000e-03 [749]\n", + "--- Max DT=3.823439e-01 > 1.000000e-01 [67952]\n", "----------------------------------------------------------------------\n", - " Component | low: 581/100000\n", - " Component | high: 67758/100000\n", + " Component | low: 749/100000\n", + " Component | high: 67952/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=47.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00128171 [ 0.85 %]\n", - "Velocity : 0.00389168 [ 2.57 %]\n", - "Force : 0.0545794 [ 36.05 %]\n", - "Coefs : 0.0218357 [ 14.42 %]\n", - "Output : 0.00173382 [ 1.15 %]\n", - "Levels : 0.000228408 [ 0.15 %]\n", - "Report : 7.08e-07 [ 0.00 %]\n", - "Balance : 3.39e-07 [ 0.00 %]\n", - "Adjust : 0.0677834 [ 44.77 %]\n", - "Total : 0.151389 [100.00 %]\n", + "Drift : 0.00128859 [ 0.89 %]\n", + "Velocity : 0.00386971 [ 2.67 %]\n", + "Force : 0.0522388 [ 36.05 %]\n", + "Coefs : 0.0207521 [ 14.32 %]\n", + "Output : 0.00186787 [ 1.29 %]\n", + "Levels : 0.000263493 [ 0.18 %]\n", + "Report : 4.89e-07 [ 0.00 %]\n", + "Balance : 3.86e-07 [ 0.00 %]\n", + "Adjust : 0.0645845 [ 44.57 %]\n", + "Total : 0.144918 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6207 567 213 78 77 \n", - "1 : 6210 586 212 70 64 \n", - "2 : 6203 574 218 80 67 \n", - "3 : 6190 585 246 59 62 \n", - "4 : 6200 565 250 64 63 \n", - "5 : 6222 559 223 66 72 \n", - "6 : 6174 605 213 79 71 \n", - "7 : 6171 593 223 83 72 \n", - "8 : 6205 577 218 72 70 \n", - "9 : 6164 585 261 65 67 \n", - "10 : 6211 564 195 78 94 \n", - "11 : 6164 604 239 72 63 \n", - "12 : 6185 575 238 66 78 \n", - "13 : 6165 612 227 75 75 \n", + "0 : 5890 714 324 117 97 \n", + "1 : 5902 720 312 109 99 \n", + "2 : 5916 708 314 116 88 \n", + "3 : 5968 699 315 90 70 \n", + "4 : 5943 698 287 117 97 \n", + "5 : 5929 735 296 98 84 \n", + "6 : 5876 722 326 107 111 \n", + "7 : 5923 687 321 110 101 \n", + "8 : 5915 698 326 93 110 \n", + "9 : 5916 724 305 106 91 \n", + "10 : 5883 740 320 110 89 \n", + "11 : 5939 665 322 104 112 \n", + "12 : 5868 775 305 103 91 \n", + "13 : 5963 702 303 108 78 \n", "\n", - "T : 86671 8151 3176 1007 995 [100000]\n", + "T : 82831 9987 4376 1488 1318 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0601e-02 sec\n", - "--- Collate = 8.6107e-05 sec\n", + "--- Coef/DT = 3.0%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 9.7715e-03 sec\n", + "--- Collate = 6.7087e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.765309e-06 < 6.250000e-03 [590]\n", - "--- Max DT=3.470718e-01 > 1.000000e-01 [67771]\n", + "--- Min DT=1.048986e-05 < 6.250000e-03 [762]\n", + "--- Max DT=3.838113e-01 > 1.000000e-01 [67982]\n", "----------------------------------------------------------------------\n", - " Component | low: 590/100000\n", - " Component | high: 67771/100000\n", + " Component | low: 762/100000\n", + " Component | high: 67982/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=47.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00101782 [ 0.68 %]\n", - "Velocity : 0.0030735 [ 2.06 %]\n", - "Force : 0.05528 [ 37.02 %]\n", - "Coefs : 0.021501 [ 14.40 %]\n", - "Output : 0.00180795 [ 1.21 %]\n", - "Levels : 0.000241927 [ 0.16 %]\n", - "Report : 5.48e-07 [ 0.00 %]\n", - "Balance : 3.39e-07 [ 0.00 %]\n", - "Adjust : 0.0663662 [ 44.44 %]\n", - "Total : 0.149339 [100.00 %]\n", + "Drift : 0.00121488 [ 0.84 %]\n", + "Velocity : 0.00383304 [ 2.65 %]\n", + "Force : 0.0521688 [ 36.05 %]\n", + "Coefs : 0.0206671 [ 14.28 %]\n", + "Output : 0.00189084 [ 1.31 %]\n", + "Levels : 0.000256597 [ 0.18 %]\n", + "Report : 4.85e-07 [ 0.00 %]\n", + "Balance : 3.71e-07 [ 0.00 %]\n", + "Adjust : 0.0646356 [ 44.66 %]\n", + "Total : 0.144722 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6204 572 214 77 75 \n", - "1 : 6209 587 207 69 70 \n", - "2 : 6205 572 211 88 66 \n", - "3 : 6185 596 238 60 63 \n", - "4 : 6198 566 246 66 66 \n", - "5 : 6217 569 218 63 75 \n", - "6 : 6171 611 213 74 73 \n", - "7 : 6171 589 225 86 71 \n", - "8 : 6205 577 223 68 69 \n", - "9 : 6162 590 254 68 68 \n", - "10 : 6206 567 200 74 95 \n", - "11 : 6163 601 246 69 63 \n", - "12 : 6181 572 244 66 79 \n", - "13 : 6156 620 233 67 78 \n", + "0 : 5891 713 319 128 91 \n", + "1 : 5902 723 313 100 104 \n", + "2 : 5919 701 315 125 82 \n", + "3 : 5958 708 318 91 67 \n", + "4 : 5938 704 285 115 100 \n", + "5 : 5928 736 291 101 86 \n", + "6 : 5875 721 338 98 110 \n", + "7 : 5922 697 313 110 100 \n", + "8 : 5917 702 310 98 115 \n", + "9 : 5916 721 302 109 94 \n", + "10 : 5872 750 323 99 98 \n", + "11 : 5939 671 311 105 116 \n", + "12 : 5871 773 297 107 94 \n", + "13 : 5969 697 301 98 89 \n", "\n", - "T : 86633 8189 3172 995 1011 [100000]\n", + "T : 82817 10017 4336 1484 1346 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.8%\n", - "--- Adj/Tot = 1.0%\n", - "--- Update = 1.2042e-02 sec\n", - "--- Collate = 8.4853e-05 sec\n", + "--- Coef/DT = 3.5%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 9.8274e-03 sec\n", + "--- Collate = 6.6687e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.979855e-06 < 6.250000e-03 [599]\n", - "--- Max DT=3.474591e-01 > 1.000000e-01 [67758]\n", + "--- Min DT=1.152260e-06 < 6.250000e-03 [789]\n", + "--- Max DT=3.852577e-01 > 1.000000e-01 [68036]\n", "----------------------------------------------------------------------\n", - " Component | low: 599/100000\n", - " Component | high: 67758/100000\n", + " Component | low: 789/100000\n", + " Component | high: 68036/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=48] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00119129 [ 0.73 %]\n", - "Velocity : 0.00379066 [ 2.31 %]\n", - "Force : 0.0569474 [ 34.68 %]\n", - "Coefs : 0.0228463 [ 13.91 %]\n", - "Output : 0.00728058 [ 4.43 %]\n", - "Levels : 0.00030918 [ 0.19 %]\n", - "Report : 8.86e-07 [ 0.00 %]\n", - "Balance : 5.51e-07 [ 0.00 %]\n", - "Adjust : 0.0717994 [ 43.72 %]\n", - "Total : 0.164216 [100.00 %]\n", + "Drift : 0.00121455 [ 0.81 %]\n", + "Velocity : 0.00377902 [ 2.52 %]\n", + "Force : 0.05191 [ 34.55 %]\n", + "Coefs : 0.020814 [ 13.85 %]\n", + "Output : 0.00690197 [ 4.59 %]\n", + "Levels : 0.000266726 [ 0.18 %]\n", + "Report : 1.275e-06 [ 0.00 %]\n", + "Balance : 7.07e-07 [ 0.00 %]\n", + "Adjust : 0.0652918 [ 43.46 %]\n", + "Total : 0.150236 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6207 567 210 80 78 \n", - "1 : 6205 591 204 71 71 \n", - "2 : 6199 579 216 85 63 \n", - "3 : 6180 587 247 65 63 \n", - "4 : 6197 565 249 67 64 \n", - "5 : 6213 572 221 65 71 \n", - "6 : 6174 611 209 72 76 \n", - "7 : 6169 583 236 84 70 \n", - "8 : 6208 571 225 72 66 \n", - "9 : 6166 571 266 63 76 \n", - "10 : 6205 562 212 75 88 \n", - "11 : 6167 590 254 73 58 \n", - "12 : 6180 577 237 69 79 \n", - "13 : 6149 618 244 61 82 \n", + "0 : 5888 714 327 112 101 \n", + "1 : 5897 728 308 102 107 \n", + "2 : 5915 708 304 128 87 \n", + "3 : 5960 706 317 93 66 \n", + "4 : 5937 700 281 124 100 \n", + "5 : 5931 733 294 95 89 \n", + "6 : 5874 716 337 105 110 \n", + "7 : 5917 707 310 108 100 \n", + "8 : 5912 711 309 92 118 \n", + "9 : 5918 720 299 117 88 \n", + "10 : 5877 747 313 109 96 \n", + "11 : 5941 672 315 97 117 \n", + "12 : 5877 757 307 103 98 \n", + "13 : 5970 691 296 107 90 \n", "\n", - "T : 86619 8144 3230 1002 1005 [100000]\n", + "T : 82814 10010 4317 1492 1367 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.8%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0474e-02 sec\n", - "--- Collate = 8.9529e-05 sec\n", + "--- Coef/DT = 3.6%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 1.0319e-02 sec\n", + "--- Collate = 7.1602e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.642489e-06 < 6.250000e-03 [592]\n", - "--- Max DT=3.478373e-01 > 1.000000e-01 [67763]\n", + "--- Min DT=6.725731e-06 < 6.250000e-03 [800]\n", + "--- Max DT=3.866934e-01 > 1.000000e-01 [68067]\n", "----------------------------------------------------------------------\n", - " Component | low: 592/100000\n", - " Component | high: 67763/100000\n", + " Component | low: 800/100000\n", + " Component | high: 68067/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=48.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00122196 [ 0.72 %]\n", - "Velocity : 0.00412922 [ 2.43 %]\n", - "Force : 0.0645347 [ 37.99 %]\n", - "Coefs : 0.0249267 [ 14.67 %]\n", - "Output : 0.00160834 [ 0.95 %]\n", - "Levels : 0.000287209 [ 0.17 %]\n", - "Report : 7.34e-07 [ 0.00 %]\n", - "Balance : 3.08e-07 [ 0.00 %]\n", - "Adjust : 0.0731156 [ 43.04 %]\n", - "Total : 0.169877 [100.00 %]\n", + "Drift : 0.00127194 [ 0.85 %]\n", + "Velocity : 0.0039844 [ 2.66 %]\n", + "Force : 0.0532762 [ 35.52 %]\n", + "Coefs : 0.0207853 [ 13.86 %]\n", + "Output : 0.0019993 [ 1.33 %]\n", + "Levels : 0.00031861 [ 0.21 %]\n", + "Report : 5.21e-07 [ 0.00 %]\n", + "Balance : 3.59e-07 [ 0.00 %]\n", + "Adjust : 0.0682809 [ 45.53 %]\n", + "Total : 0.149971 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6201 567 218 81 75 \n", - "1 : 6198 611 194 62 77 \n", - "2 : 6194 588 214 83 63 \n", - "3 : 6177 592 247 56 70 \n", - "4 : 6196 571 247 67 61 \n", - "5 : 6219 563 226 63 71 \n", - "6 : 6170 616 211 73 72 \n", - "7 : 6167 585 237 76 77 \n", - "8 : 6202 578 219 75 68 \n", - "9 : 6164 572 264 69 73 \n", - "10 : 6199 560 221 78 84 \n", - "11 : 6165 595 254 73 55 \n", - "12 : 6175 581 238 63 85 \n", - "13 : 6147 620 242 59 86 \n", + "0 : 5891 715 320 111 105 \n", + "1 : 5896 724 313 104 105 \n", + "2 : 5917 707 310 122 86 \n", + "3 : 5958 709 326 82 67 \n", + "4 : 5940 699 272 124 107 \n", + "5 : 5925 734 299 98 86 \n", + "6 : 5879 713 337 105 108 \n", + "7 : 5917 703 315 107 100 \n", + "8 : 5911 711 306 100 114 \n", + "9 : 5914 715 310 115 88 \n", + "10 : 5871 762 302 106 101 \n", + "11 : 5936 673 322 95 116 \n", + "12 : 5871 768 299 107 97 \n", + "13 : 5972 684 299 109 90 \n", "\n", - "T : 86574 8199 3232 978 1017 [100000]\n", + "T : 82798 10017 4330 1485 1370 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.9%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.1960e-02 sec\n", - "--- Collate = 8.7565e-05 sec\n", + "--- Coef/DT = 3.8%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 9.6331e-03 sec\n", + "--- Collate = 7.1826e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.264999e-06 < 6.250000e-03 [610]\n", - "--- Max DT=3.482189e-01 > 1.000000e-01 [67775]\n", + "--- Min DT=2.544758e-06 < 6.250000e-03 [784]\n", + "--- Max DT=3.881193e-01 > 1.000000e-01 [68093]\n", "----------------------------------------------------------------------\n", - " Component | low: 610/100000\n", - " Component | high: 67775/100000\n", + " Component | low: 784/100000\n", + " Component | high: 68093/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=48.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00137359 [ 0.87 %]\n", - "Velocity : 0.00332266 [ 2.10 %]\n", - "Force : 0.0588981 [ 37.15 %]\n", - "Coefs : 0.0214262 [ 13.52 %]\n", - "Output : 0.0017174 [ 1.08 %]\n", - "Levels : 0.00027279 [ 0.17 %]\n", - "Report : 8.8e-07 [ 0.00 %]\n", - "Balance : 2.77e-07 [ 0.00 %]\n", - "Adjust : 0.0714571 [ 45.07 %]\n", - "Total : 0.15853 [100.00 %]\n", + "Drift : 0.00127089 [ 0.87 %]\n", + "Velocity : 0.00372487 [ 2.55 %]\n", + "Force : 0.0527825 [ 36.07 %]\n", + "Coefs : 0.021092 [ 14.41 %]\n", + "Output : 0.00195962 [ 1.34 %]\n", + "Levels : 0.000283209 [ 0.19 %]\n", + "Report : 7.78e-07 [ 0.00 %]\n", + "Balance : 3.45e-07 [ 0.00 %]\n", + "Adjust : 0.0651749 [ 44.54 %]\n", + "Total : 0.146343 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6202 564 218 82 76 \n", - "1 : 6191 628 185 67 71 \n", - "2 : 6191 588 219 77 67 \n", - "3 : 6177 593 240 63 69 \n", - "4 : 6196 576 239 67 64 \n", - "5 : 6219 561 229 65 68 \n", - "6 : 6162 625 218 65 72 \n", - "7 : 6166 586 239 80 71 \n", - "8 : 6196 584 218 76 68 \n", - "9 : 6161 571 266 69 75 \n", - "10 : 6196 562 223 80 81 \n", - "11 : 6165 600 248 74 55 \n", - "12 : 6175 586 233 72 76 \n", - "13 : 6143 628 240 57 86 \n", + "0 : 5892 712 320 111 107 \n", + "1 : 5887 729 322 102 102 \n", + "2 : 5923 700 318 119 82 \n", + "3 : 5962 698 337 79 66 \n", + "4 : 5942 690 278 116 116 \n", + "5 : 5917 739 307 91 88 \n", + "6 : 5878 716 336 103 109 \n", + "7 : 5913 711 315 99 104 \n", + "8 : 5914 711 301 105 111 \n", + "9 : 5919 713 307 111 92 \n", + "10 : 5872 764 302 104 100 \n", + "11 : 5931 673 329 98 111 \n", + "12 : 5875 761 295 111 100 \n", + "13 : 5970 683 305 108 88 \n", "\n", - "T : 86540 8252 3215 994 999 [100000]\n", + "T : 82795 10000 4372 1457 1376 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.2%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.2395e-02 sec\n", - "--- Collate = 5.2459e-05 sec\n", + "--- Coef/DT = 3.3%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 9.9822e-03 sec\n", + "--- Collate = 6.5675e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.960218e-06 < 6.250000e-03 [628]\n", - "--- Max DT=3.485959e-01 > 1.000000e-01 [67755]\n", + "--- Min DT=9.044390e-06 < 6.250000e-03 [769]\n", + "--- Max DT=3.895224e-01 > 1.000000e-01 [68115]\n", "----------------------------------------------------------------------\n", - " Component | low: 628/100000\n", - " Component | high: 67755/100000\n", + " Component | low: 769/100000\n", + " Component | high: 68115/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=48.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000988506 [ 0.61 %]\n", - "Velocity : 0.00418151 [ 2.60 %]\n", - "Force : 0.0561343 [ 34.88 %]\n", - "Coefs : 0.0225104 [ 13.99 %]\n", - "Output : 0.0016932 [ 1.05 %]\n", - "Levels : 0.000258528 [ 0.16 %]\n", - "Report : 5.93e-07 [ 0.00 %]\n", - "Balance : 3.7e-07 [ 0.00 %]\n", - "Adjust : 0.0750958 [ 46.67 %]\n", - "Total : 0.160921 [100.00 %]\n", + "Drift : 0.00125371 [ 0.83 %]\n", + "Velocity : 0.00389245 [ 2.59 %]\n", + "Force : 0.0535045 [ 35.62 %]\n", + "Coefs : 0.020859 [ 13.89 %]\n", + "Output : 0.00190082 [ 1.27 %]\n", + "Levels : 0.000251163 [ 0.17 %]\n", + "Report : 5.26e-07 [ 0.00 %]\n", + "Balance : 3.43e-07 [ 0.00 %]\n", + "Adjust : 0.0684769 [ 45.59 %]\n", + "Total : 0.150196 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6200 557 227 84 74 \n", - "1 : 6189 632 187 62 72 \n", - "2 : 6186 595 222 73 66 \n", - "3 : 6177 592 239 71 63 \n", - "4 : 6197 572 237 73 63 \n", - "5 : 6224 550 236 64 68 \n", - "6 : 6169 615 223 60 75 \n", - "7 : 6165 591 241 72 73 \n", - "8 : 6194 588 216 78 66 \n", - "9 : 6155 580 258 71 78 \n", - "10 : 6196 562 226 79 79 \n", - "11 : 6164 598 251 74 55 \n", - "12 : 6174 589 225 81 73 \n", - "13 : 6144 627 238 55 90 \n", + "0 : 5889 714 313 110 116 \n", + "1 : 5891 725 322 99 105 \n", + "2 : 5921 699 321 113 88 \n", + "3 : 5960 697 343 72 70 \n", + "4 : 5937 692 283 113 117 \n", + "5 : 5914 752 301 84 91 \n", + "6 : 5878 721 329 103 111 \n", + "7 : 5914 710 313 104 101 \n", + "8 : 5916 712 294 106 114 \n", + "9 : 5927 704 306 113 92 \n", + "10 : 5873 765 297 103 104 \n", + "11 : 5931 677 327 96 111 \n", + "12 : 5875 761 293 105 108 \n", + "13 : 5968 686 303 104 93 \n", "\n", - "T : 86534 8248 3226 997 995 [100000]\n", + "T : 82794 10015 4345 1425 1421 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.0%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.2084e-02 sec\n", - "--- Collate = 8.1644e-05 sec\n", + "--- Coef/DT = 34.1%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 1.0594e-02 sec\n", + "--- Collate = 7.5260e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.719897e-06 < 6.250000e-03 [620]\n", - "--- Max DT=3.489674e-01 > 1.000000e-01 [67743]\n", + "--- Min DT=1.628265e-06 < 6.250000e-03 [788]\n", + "--- Max DT=3.909218e-01 > 1.000000e-01 [68154]\n", "----------------------------------------------------------------------\n", - " Component | low: 620/100000\n", - " Component | high: 67743/100000\n", + " Component | low: 788/100000\n", + " Component | high: 68154/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=48.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00136492 [ 0.80 %]\n", - "Velocity : 0.00337539 [ 1.97 %]\n", - "Force : 0.0639303 [ 37.38 %]\n", - "Coefs : 0.0255587 [ 14.94 %]\n", - "Output : 0.0017926 [ 1.05 %]\n", - "Levels : 0.000271509 [ 0.16 %]\n", - "Report : 8.48e-07 [ 0.00 %]\n", - "Balance : 3.87e-07 [ 0.00 %]\n", - "Adjust : 0.0746939 [ 43.67 %]\n", - "Total : 0.171045 [100.00 %]\n", + "Drift : 0.00125949 [ 0.84 %]\n", + "Velocity : 0.00391677 [ 2.62 %]\n", + "Force : 0.0537288 [ 35.93 %]\n", + "Coefs : 0.0214046 [ 14.31 %]\n", + "Output : 0.00191214 [ 1.28 %]\n", + "Levels : 0.00024942 [ 0.17 %]\n", + "Report : 4.93e-07 [ 0.00 %]\n", + "Balance : 3.4e-07 [ 0.00 %]\n", + "Adjust : 0.0669965 [ 44.81 %]\n", + "Total : 0.149526 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6205 560 222 83 72 \n", - "1 : 6195 627 184 56 80 \n", - "2 : 6183 586 228 80 65 \n", - "3 : 6168 606 238 73 57 \n", - "4 : 6196 573 235 74 64 \n", - "5 : 6220 555 233 70 64 \n", - "6 : 6170 604 235 58 75 \n", - "7 : 6164 595 242 65 76 \n", - "8 : 6197 577 228 74 66 \n", - "9 : 6149 584 259 66 84 \n", - "10 : 6187 574 223 77 81 \n", - "11 : 6163 597 246 82 54 \n", - "12 : 6168 602 221 79 72 \n", - "13 : 6145 633 229 56 91 \n", + "0 : 5879 730 308 109 116 \n", + "1 : 5898 711 322 110 101 \n", + "2 : 5918 697 324 105 98 \n", + "3 : 5962 693 337 82 68 \n", + "4 : 5938 693 275 112 124 \n", + "5 : 5913 752 292 96 89 \n", + "6 : 5880 723 321 108 110 \n", + "7 : 5919 706 314 99 104 \n", + "8 : 5912 707 297 125 101 \n", + "9 : 5919 713 299 115 96 \n", + "10 : 5872 766 296 104 104 \n", + "11 : 5923 683 332 96 108 \n", + "12 : 5875 761 289 107 110 \n", + "13 : 5961 696 299 100 98 \n", "\n", - "T : 86510 8273 3223 993 1001 [100000]\n", + "T : 82769 10031 4305 1468 1427 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.0%\n", - "--- Adj/Tot = 1.4%\n", - "--- Update = 1.1214e-02 sec\n", - "--- Collate = 9.8496e-05 sec\n", - "----------------------------------------------------------------------\n", + "--- Coef/DT = 3.6%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 9.9547e-03 sec\n", + "--- Collate = 9.3425e-05 sec\n", + "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.593482e-05 < 6.250000e-03 [610]\n", - "--- Max DT=3.493366e-01 > 1.000000e-01 [67720]\n", + "--- Min DT=3.369338e-06 < 6.250000e-03 [789]\n", + "--- Max DT=3.922929e-01 > 1.000000e-01 [68165]\n", "----------------------------------------------------------------------\n", - " Component | low: 610/100000\n", - " Component | high: 67720/100000\n", + " Component | low: 789/100000\n", + " Component | high: 68165/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=48.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00131533 [ 0.82 %]\n", - "Velocity : 0.00385422 [ 2.40 %]\n", - "Force : 0.0586818 [ 36.59 %]\n", - "Coefs : 0.0236546 [ 14.75 %]\n", - "Output : 0.00171408 [ 1.07 %]\n", - "Levels : 0.000281167 [ 0.18 %]\n", - "Report : 5.32e-07 [ 0.00 %]\n", - "Balance : 2.7e-07 [ 0.00 %]\n", - "Adjust : 0.0708182 [ 44.16 %]\n", - "Total : 0.160373 [100.00 %]\n", + "Drift : 0.00124502 [ 0.82 %]\n", + "Velocity : 0.00380694 [ 2.50 %]\n", + "Force : 0.0541911 [ 35.53 %]\n", + "Coefs : 0.0222198 [ 14.57 %]\n", + "Output : 0.00187779 [ 1.23 %]\n", + "Levels : 0.000329483 [ 0.22 %]\n", + "Report : 7.18e-07 [ 0.00 %]\n", + "Balance : 3.8e-07 [ 0.00 %]\n", + "Adjust : 0.068783 [ 45.10 %]\n", + "Total : 0.152505 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6202 563 219 87 71 \n", - "1 : 6201 617 185 59 80 \n", - "2 : 6187 576 243 69 67 \n", - "3 : 6170 596 242 73 61 \n", - "4 : 6187 575 244 69 67 \n", - "5 : 6221 551 234 75 61 \n", - "6 : 6171 607 230 61 73 \n", - "7 : 6166 590 248 67 71 \n", - "8 : 6191 582 224 76 69 \n", - "9 : 6152 584 253 71 82 \n", - "10 : 6184 585 214 79 80 \n", - "11 : 6159 599 245 81 58 \n", - "12 : 6172 595 222 77 76 \n", - "13 : 6149 630 229 62 84 \n", + "0 : 5871 734 310 103 124 \n", + "1 : 5897 718 321 103 103 \n", + "2 : 5923 689 324 102 104 \n", + "3 : 5961 697 326 91 67 \n", + "4 : 5940 687 281 105 129 \n", + "5 : 5915 746 295 99 87 \n", + "6 : 5879 725 322 104 112 \n", + "7 : 5913 701 321 106 101 \n", + "8 : 5914 693 307 124 104 \n", + "9 : 5918 714 302 116 92 \n", + "10 : 5878 757 297 105 105 \n", + "11 : 5920 689 326 100 107 \n", + "12 : 5877 757 289 105 114 \n", + "13 : 5958 696 295 111 94 \n", "\n", - "T : 86512 8250 3232 1006 1000 [100000]\n", + "T : 82764 10003 4316 1474 1443 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.0902e-02 sec\n", - "--- Collate = 7.4656e-05 sec\n", + "--- Coef/DT = 3.9%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 9.9467e-03 sec\n", + "--- Collate = 7.0699e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.994500e-07 < 6.250000e-03 [582]\n", - "--- Max DT=3.497001e-01 > 1.000000e-01 [67697]\n", + "--- Min DT=4.695206e-06 < 6.250000e-03 [796]\n", + "--- Max DT=3.956439e-01 > 1.000000e-01 [68183]\n", "----------------------------------------------------------------------\n", - " Component | low: 582/100000\n", - " Component | high: 67697/100000\n", + " Component | low: 796/100000\n", + " Component | high: 68183/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=48.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00124047 [ 0.79 %]\n", - "Velocity : 0.00381971 [ 2.43 %]\n", - "Force : 0.0584968 [ 37.19 %]\n", - "Coefs : 0.0230533 [ 14.66 %]\n", - "Output : 0.00157309 [ 1.00 %]\n", - "Levels : 0.000212214 [ 0.13 %]\n", - "Report : 4.74e-07 [ 0.00 %]\n", - "Balance : 3.44e-07 [ 0.00 %]\n", - "Adjust : 0.0688145 [ 43.75 %]\n", - "Total : 0.157279 [100.00 %]\n", + "Drift : 0.00131658 [ 0.89 %]\n", + "Velocity : 0.00418 [ 2.82 %]\n", + "Force : 0.0533959 [ 36.07 %]\n", + "Coefs : 0.0212287 [ 14.34 %]\n", + "Output : 0.00181376 [ 1.23 %]\n", + "Levels : 0.000265114 [ 0.18 %]\n", + "Report : 5.4e-07 [ 0.00 %]\n", + "Balance : 3.89e-07 [ 0.00 %]\n", + "Adjust : 0.0657891 [ 44.44 %]\n", + "Total : 0.148044 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6201 565 223 81 72 \n", - "1 : 6196 613 199 52 82 \n", - "2 : 6189 582 236 66 69 \n", - "3 : 6164 607 241 66 64 \n", - "4 : 6185 572 250 68 67 \n", - "5 : 6217 559 229 72 65 \n", - "6 : 6174 602 230 66 70 \n", - "7 : 6166 587 243 79 67 \n", - "8 : 6183 588 229 71 71 \n", - "9 : 6152 590 245 74 81 \n", - "10 : 6179 583 227 75 78 \n", - "11 : 6157 601 247 79 58 \n", - "12 : 6172 592 237 63 78 \n", - "13 : 6147 636 226 59 86 \n", + "0 : 5871 730 312 106 123 \n", + "1 : 5906 711 320 96 109 \n", + "2 : 5916 703 316 102 105 \n", + "3 : 5965 684 326 92 75 \n", + "4 : 5943 681 279 108 131 \n", + "5 : 5912 745 305 90 90 \n", + "6 : 5881 732 311 110 108 \n", + "7 : 5912 703 320 105 102 \n", + "8 : 5908 694 317 113 110 \n", + "9 : 5908 720 315 106 93 \n", + "10 : 5879 754 296 111 102 \n", + "11 : 5915 684 327 109 107 \n", + "12 : 5873 759 292 105 113 \n", + "13 : 5955 704 285 119 91 \n", "\n", - "T : 86482 8277 3262 971 1008 [100000]\n", + "T : 82744 10004 4321 1472 1459 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.4%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.2238e-02 sec\n", - "--- Collate = 1.2734e-04 sec\n", + "--- Coef/DT = 3.5%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 9.8996e-03 sec\n", + "--- Collate = 7.2338e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.432173e-07 < 6.250000e-03 [572]\n", - "--- Max DT=3.500528e-01 > 1.000000e-01 [67669]\n", + "--- Min DT=4.168852e-06 < 6.250000e-03 [799]\n", + "--- Max DT=4.009694e-01 > 1.000000e-01 [68214]\n", "----------------------------------------------------------------------\n", - " Component | low: 572/100000\n", - " Component | high: 67669/100000\n", + " Component | low: 799/100000\n", + " Component | high: 68214/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=48.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0009459 [ 0.58 %]\n", - "Velocity : 0.0037544 [ 2.30 %]\n", - "Force : 0.0590904 [ 36.20 %]\n", - "Coefs : 0.0232682 [ 14.25 %]\n", - "Output : 0.00173522 [ 1.06 %]\n", - "Levels : 0.000277968 [ 0.17 %]\n", - "Report : 8.39e-07 [ 0.00 %]\n", - "Balance : 3.23e-07 [ 0.00 %]\n", - "Adjust : 0.0741023 [ 45.40 %]\n", - "Total : 0.163236 [100.00 %]\n", + "Drift : 0.00124845 [ 0.85 %]\n", + "Velocity : 0.00388706 [ 2.66 %]\n", + "Force : 0.0524749 [ 35.85 %]\n", + "Coefs : 0.0208337 [ 14.23 %]\n", + "Output : 0.00189797 [ 1.30 %]\n", + "Levels : 0.00024887 [ 0.17 %]\n", + "Report : 5.77e-07 [ 0.00 %]\n", + "Balance : 3.83e-07 [ 0.00 %]\n", + "Adjust : 0.065714 [ 44.90 %]\n", + "Total : 0.146361 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6198 564 230 74 76 \n", - "1 : 6193 613 203 54 79 \n", - "2 : 6181 598 226 68 69 \n", - "3 : 6163 605 244 64 66 \n", - "4 : 6182 579 242 72 67 \n", - "5 : 6212 567 227 76 60 \n", - "6 : 6173 609 220 72 68 \n", - "7 : 6167 589 243 80 63 \n", - "8 : 6179 593 230 70 70 \n", - "9 : 6147 594 235 83 83 \n", - "10 : 6181 580 235 75 71 \n", - "11 : 6157 603 243 78 61 \n", - "12 : 6172 592 237 62 79 \n", - "13 : 6142 644 214 70 84 \n", + "0 : 5868 729 313 111 121 \n", + "1 : 5900 719 315 106 102 \n", + "2 : 5919 698 316 104 105 \n", + "3 : 5972 681 318 96 75 \n", + "4 : 5945 678 281 105 133 \n", + "5 : 5918 733 305 89 97 \n", + "6 : 5877 727 314 114 110 \n", + "7 : 5912 701 322 106 101 \n", + "8 : 5903 701 311 118 109 \n", + "9 : 5910 721 310 109 92 \n", + "10 : 5879 751 296 108 108 \n", + "11 : 5924 678 328 109 103 \n", + "12 : 5880 756 298 103 105 \n", + "13 : 5954 701 291 112 96 \n", "\n", - "T : 86447 8330 3229 998 996 [100000]\n", + "T : 82761 9974 4318 1490 1457 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.6%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.1766e-02 sec\n", - "--- Collate = 8.4091e-05 sec\n", + "--- Coef/DT = 3.6%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 1.0106e-02 sec\n", + "--- Collate = 9.2048e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.976759e-05 < 6.250000e-03 [576]\n", - "--- Max DT=3.503995e-01 > 1.000000e-01 [67668]\n", + "--- Min DT=1.892737e-06 < 6.250000e-03 [817]\n", + "--- Max DT=4.063057e-01 > 1.000000e-01 [68230]\n", "----------------------------------------------------------------------\n", - " Component | low: 576/100000\n", - " Component | high: 67668/100000\n", + " Component | low: 817/100000\n", + " Component | high: 68230/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=48.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000920686 [ 0.55 %]\n", - "Velocity : 0.00353182 [ 2.10 %]\n", - "Force : 0.0630267 [ 37.42 %]\n", - "Coefs : 0.0248695 [ 14.77 %]\n", - "Output : 0.00172006 [ 1.02 %]\n", - "Levels : 0.000290415 [ 0.17 %]\n", - "Report : 8.49e-07 [ 0.00 %]\n", - "Balance : 3.59e-07 [ 0.00 %]\n", - "Adjust : 0.0739919 [ 43.94 %]\n", - "Total : 0.168412 [100.00 %]\n", + "Drift : 0.00126639 [ 0.85 %]\n", + "Velocity : 0.00387832 [ 2.61 %]\n", + "Force : 0.0530291 [ 35.65 %]\n", + "Coefs : 0.0223029 [ 14.99 %]\n", + "Output : 0.00189931 [ 1.28 %]\n", + "Levels : 0.000260985 [ 0.18 %]\n", + "Report : 5.53e-07 [ 0.00 %]\n", + "Balance : 4.15e-07 [ 0.00 %]\n", + "Adjust : 0.0660754 [ 44.42 %]\n", + "Total : 0.148766 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6196 566 229 74 77 \n", - "1 : 6189 610 212 60 71 \n", - "2 : 6182 591 235 58 76 \n", - "3 : 6166 596 249 63 68 \n", - "4 : 6184 579 240 77 62 \n", - "5 : 6218 559 232 70 63 \n", - "6 : 6174 604 226 70 68 \n", - "7 : 6159 596 246 80 61 \n", - "8 : 6166 605 229 69 73 \n", - "9 : 6146 600 230 85 81 \n", - "10 : 6173 590 234 74 71 \n", - "11 : 6162 598 242 77 63 \n", - "12 : 6172 592 237 60 81 \n", - "13 : 6141 642 217 71 83 \n", + "0 : 5871 717 320 114 120 \n", + "1 : 5899 715 319 107 102 \n", + "2 : 5924 686 324 94 114 \n", + "3 : 5974 684 310 99 75 \n", + "4 : 5946 674 281 110 131 \n", + "5 : 5926 718 313 89 96 \n", + "6 : 5881 726 312 119 104 \n", + "7 : 5919 690 328 105 100 \n", + "8 : 5912 692 310 110 118 \n", + "9 : 5909 724 310 103 96 \n", + "10 : 5881 741 301 111 108 \n", + "11 : 5918 684 327 116 97 \n", + "12 : 5876 771 291 91 113 \n", + "13 : 5954 697 295 119 89 \n", "\n", - "T : 86428 8328 3258 988 998 [100000]\n", + "T : 82790 9919 4341 1487 1463 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.3%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.0464e-02 sec\n", - "--- Collate = 7.9410e-05 sec\n", + "--- Coef/DT = 3.5%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 9.7283e-03 sec\n", + "--- Collate = 6.7568e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.332901e-06 < 6.250000e-03 [572]\n", - "--- Max DT=3.507381e-01 > 1.000000e-01 [67676]\n", + "--- Min DT=6.360677e-06 < 6.250000e-03 [832]\n", + "--- Max DT=4.116527e-01 > 1.000000e-01 [68265]\n", "----------------------------------------------------------------------\n", - " Component | low: 572/100000\n", - " Component | high: 67676/100000\n", + " Component | low: 832/100000\n", + " Component | high: 68265/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=48.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00137954 [ 0.88 %]\n", - "Velocity : 0.00393185 [ 2.50 %]\n", - "Force : 0.0555812 [ 35.32 %]\n", - "Coefs : 0.0236561 [ 15.03 %]\n", - "Output : 0.00177948 [ 1.13 %]\n", - "Levels : 0.000264173 [ 0.17 %]\n", - "Report : 7.93e-07 [ 0.00 %]\n", - "Balance : 2.75e-07 [ 0.00 %]\n", - "Adjust : 0.070734 [ 44.94 %]\n", - "Total : 0.157382 [100.00 %]\n", + "Drift : 0.00126478 [ 0.86 %]\n", + "Velocity : 0.00390607 [ 2.66 %]\n", + "Force : 0.0529642 [ 36.01 %]\n", + "Coefs : 0.022083 [ 15.01 %]\n", + "Output : 0.00189752 [ 1.29 %]\n", + "Levels : 0.00027485 [ 0.19 %]\n", + "Report : 5.91e-07 [ 0.00 %]\n", + "Balance : 4.15e-07 [ 0.00 %]\n", + "Adjust : 0.0646407 [ 43.94 %]\n", + "Total : 0.147102 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6201 568 218 77 78 \n", - "1 : 6191 609 212 59 71 \n", - "2 : 6178 597 230 65 72 \n", - "3 : 6167 590 259 58 68 \n", - "4 : 6176 583 242 80 61 \n", - "5 : 6217 560 227 70 68 \n", - "6 : 6174 617 206 84 61 \n", - "7 : 6160 595 245 79 63 \n", - "8 : 6172 595 236 67 72 \n", - "9 : 6144 601 227 90 80 \n", - "10 : 6175 589 231 75 72 \n", - "11 : 6154 603 246 76 63 \n", - "12 : 6171 590 236 63 82 \n", - "13 : 6135 648 216 73 82 \n", + "0 : 5876 705 326 118 117 \n", + "1 : 5901 710 319 108 104 \n", + "2 : 5926 682 322 102 110 \n", + "3 : 5971 682 317 94 78 \n", + "4 : 5938 683 286 108 127 \n", + "5 : 5923 717 312 96 94 \n", + "6 : 5882 719 316 118 107 \n", + "7 : 5919 689 328 102 104 \n", + "8 : 5902 706 315 98 121 \n", + "9 : 5903 744 303 95 97 \n", + "10 : 5883 740 300 111 108 \n", + "11 : 5917 689 320 113 103 \n", + "12 : 5879 772 281 99 111 \n", + "13 : 5953 698 295 119 89 \n", "\n", - "T : 86415 8345 3231 1016 993 [100000]\n", + "T : 82773 9936 4340 1481 1470 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 3.6%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.2583e-02 sec\n", - "--- Collate = 8.0367e-05 sec\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 9.9577e-03 sec\n", + "--- Collate = 6.4165e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.475865e-06 < 6.250000e-03 [564]\n", - "--- Max DT=3.510723e-01 > 1.000000e-01 [67666]\n", + "--- Min DT=9.647943e-06 < 6.250000e-03 [822]\n", + "--- Max DT=4.170103e-01 > 1.000000e-01 [68275]\n", "----------------------------------------------------------------------\n", - " Component | low: 564/100000\n", - " Component | high: 67666/100000\n", + " Component | low: 822/100000\n", + " Component | high: 68275/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=49] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00144737 [ 0.82 %]\n", - "Velocity : 0.00406717 [ 2.29 %]\n", - "Force : 0.0630248 [ 35.56 %]\n", - "Coefs : 0.0236063 [ 13.32 %]\n", - "Output : 0.00799017 [ 4.51 %]\n", - "Levels : 0.000344068 [ 0.19 %]\n", - "Report : 8.99e-07 [ 0.00 %]\n", - "Balance : 5.61e-07 [ 0.00 %]\n", - "Adjust : 0.0766897 [ 43.27 %]\n", - "Total : 0.177231 [100.00 %]\n", + "Drift : 0.00123359 [ 0.81 %]\n", + "Velocity : 0.00389615 [ 2.57 %]\n", + "Force : 0.0530541 [ 34.99 %]\n", + "Coefs : 0.0212271 [ 14.00 %]\n", + "Output : 0.00683847 [ 4.51 %]\n", + "Levels : 0.000300321 [ 0.20 %]\n", + "Report : 1.256e-06 [ 0.00 %]\n", + "Balance : 5.93e-07 [ 0.00 %]\n", + "Adjust : 0.0649992 [ 42.87 %]\n", + "Total : 0.151605 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6207 559 221 82 73 \n", - "1 : 6190 609 210 66 67 \n", - "2 : 6175 604 231 58 74 \n", - "3 : 6166 590 257 62 67 \n", - "4 : 6173 583 243 78 65 \n", - "5 : 6213 570 221 69 69 \n", - "6 : 6177 615 205 77 68 \n", - "7 : 6157 602 239 90 54 \n", - "8 : 6164 605 239 60 74 \n", - "9 : 6142 604 224 91 81 \n", - "10 : 6171 599 225 73 74 \n", - "11 : 6152 610 239 73 68 \n", - "12 : 6163 600 231 69 79 \n", - "13 : 6138 639 220 78 79 \n", + "0 : 5870 705 329 121 117 \n", + "1 : 5898 704 328 106 106 \n", + "2 : 5916 690 326 107 103 \n", + "3 : 5976 676 311 101 78 \n", + "4 : 5936 678 300 97 131 \n", + "5 : 5918 722 311 95 96 \n", + "6 : 5878 728 319 103 114 \n", + "7 : 5920 685 327 109 101 \n", + "8 : 5911 696 314 100 121 \n", + "9 : 5904 735 311 100 92 \n", + "10 : 5877 737 314 103 111 \n", + "11 : 5910 692 327 106 107 \n", + "12 : 5878 773 283 91 117 \n", + "13 : 5954 697 299 107 97 \n", "\n", - "T : 86388 8389 3205 1026 992 [100000]\n", + "T : 82746 9918 4399 1446 1491 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.9%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.3062e-02 sec\n", - "--- Collate = 8.1141e-05 sec\n", + "--- Coef/DT = 4.0%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 1.0613e-02 sec\n", + "--- Collate = 7.1531e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.259931e-06 < 6.250000e-03 [591]\n", - "--- Max DT=3.513981e-01 > 1.000000e-01 [67670]\n", + "--- Min DT=5.103039e-07 < 6.250000e-03 [832]\n", + "--- Max DT=4.223784e-01 > 1.000000e-01 [68311]\n", "----------------------------------------------------------------------\n", - " Component | low: 591/100000\n", - " Component | high: 67670/100000\n", + " Component | low: 832/100000\n", + " Component | high: 68311/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=49.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00122352 [ 0.72 %]\n", - "Velocity : 0.00342347 [ 2.01 %]\n", - "Force : 0.0641689 [ 37.71 %]\n", - "Coefs : 0.0265988 [ 15.63 %]\n", - "Output : 0.00172315 [ 1.01 %]\n", - "Levels : 0.000368172 [ 0.22 %]\n", - "Report : 1.218e-06 [ 0.00 %]\n", - "Balance : 3.48e-07 [ 0.00 %]\n", - "Adjust : 0.0725894 [ 42.66 %]\n", - "Total : 0.170152 [100.00 %]\n", + "Drift : 0.00128405 [ 0.87 %]\n", + "Velocity : 0.0033108 [ 2.24 %]\n", + "Force : 0.0538198 [ 36.45 %]\n", + "Coefs : 0.0212109 [ 14.36 %]\n", + "Output : 0.00185632 [ 1.26 %]\n", + "Levels : 0.000179588 [ 0.12 %]\n", + "Report : 1.118e-06 [ 0.00 %]\n", + "Balance : 3.61e-07 [ 0.00 %]\n", + "Adjust : 0.0659384 [ 44.65 %]\n", + "Total : 0.14767 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6207 556 232 77 70 \n", - "1 : 6188 612 205 70 67 \n", - "2 : 6172 608 229 62 71 \n", - "3 : 6160 596 256 57 73 \n", - "4 : 6172 586 237 78 69 \n", - "5 : 6214 571 215 71 71 \n", - "6 : 6177 615 206 74 70 \n", - "7 : 6154 601 246 86 55 \n", - "8 : 6161 610 237 61 73 \n", - "9 : 6149 593 232 90 78 \n", - "10 : 6171 592 235 67 77 \n", - "11 : 6157 604 235 76 70 \n", - "12 : 6158 602 236 68 78 \n", - "13 : 6143 639 211 82 79 \n", + "0 : 5869 706 331 119 117 \n", + "1 : 5903 695 337 107 100 \n", + "2 : 5926 670 329 106 111 \n", + "3 : 5974 676 310 98 84 \n", + "4 : 5940 669 307 98 128 \n", + "5 : 5920 721 312 94 95 \n", + "6 : 5880 715 327 106 114 \n", + "7 : 5918 690 322 108 104 \n", + "8 : 5916 687 321 96 122 \n", + "9 : 5899 735 316 101 91 \n", + "10 : 5876 737 316 107 106 \n", + "11 : 5905 696 331 99 111 \n", + "12 : 5883 761 289 97 112 \n", + "13 : 5949 704 295 108 98 \n", "\n", - "T : 86383 8385 3212 1019 1001 [100000]\n", + "T : 82758 9862 4443 1444 1493 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.8%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.2681e-02 sec\n", - "--- Collate = 9.0409e-05 sec\n", + "--- Coef/DT = 4.0%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 1.0365e-02 sec\n", + "--- Collate = 7.4164e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.073220e-07 < 6.250000e-03 [602]\n", - "--- Max DT=3.517160e-01 > 1.000000e-01 [67664]\n", + "--- Min DT=3.067646e-07 < 6.250000e-03 [834]\n", + "--- Max DT=4.277569e-01 > 1.000000e-01 [68332]\n", "----------------------------------------------------------------------\n", - " Component | low: 602/100000\n", - " Component | high: 67664/100000\n", + " Component | low: 834/100000\n", + " Component | high: 68332/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=49.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0012697 [ 0.74 %]\n", - "Velocity : 0.00401555 [ 2.34 %]\n", - "Force : 0.062987 [ 36.66 %]\n", - "Coefs : 0.025225 [ 14.68 %]\n", - "Output : 0.00195301 [ 1.14 %]\n", - "Levels : 0.000260337 [ 0.15 %]\n", - "Report : 7.39e-07 [ 0.00 %]\n", - "Balance : 3.5e-07 [ 0.00 %]\n", - "Adjust : 0.0760457 [ 44.26 %]\n", - "Total : 0.171815 [100.00 %]\n", + "Drift : 0.000588135 [ 0.40 %]\n", + "Velocity : 0.00195577 [ 1.34 %]\n", + "Force : 0.0535131 [ 36.77 %]\n", + "Coefs : 0.0240869 [ 16.55 %]\n", + "Output : 0.000756302 [ 0.52 %]\n", + "Levels : 0.000232584 [ 0.16 %]\n", + "Report : 7.56e-07 [ 0.00 %]\n", + "Balance : 3.28e-07 [ 0.00 %]\n", + "Adjust : 0.0643486 [ 44.22 %]\n", + "Total : 0.145525 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6212 548 228 83 71 \n", - "1 : 6180 631 193 71 67 \n", - "2 : 6169 612 225 65 71 \n", - "3 : 6151 608 249 63 71 \n", - "4 : 6168 600 227 71 76 \n", - "5 : 6219 574 205 69 75 \n", - "6 : 6168 624 208 69 73 \n", - "7 : 6150 608 234 90 60 \n", - "8 : 6169 610 230 63 70 \n", - "9 : 6146 594 230 87 85 \n", - "10 : 6165 598 233 65 81 \n", - "11 : 6159 600 230 80 73 \n", - "12 : 6164 591 236 72 79 \n", - "13 : 6143 642 206 81 82 \n", + "0 : 5865 706 336 126 109 \n", + "1 : 5905 697 325 120 95 \n", + "2 : 5919 678 326 113 106 \n", + "3 : 5977 677 311 88 89 \n", + "4 : 5943 665 305 109 120 \n", + "5 : 5927 721 301 92 101 \n", + "6 : 5881 713 329 101 118 \n", + "7 : 5920 684 323 107 108 \n", + "8 : 5915 681 328 96 122 \n", + "9 : 5898 740 313 108 83 \n", + "10 : 5873 742 315 107 105 \n", + "11 : 5911 692 337 91 111 \n", + "12 : 5885 755 291 97 114 \n", + "13 : 5948 708 292 106 100 \n", "\n", - "T : 86363 8440 3134 1029 1034 [100000]\n", + "T : 82767 9859 4432 1461 1481 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.3%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.2703e-02 sec\n", - "--- Collate = 9.2355e-05 sec\n", + "--- Coef/DT = 3.7%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 1.0657e-02 sec\n", + "--- Collate = 6.9093e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.317170e-05 < 6.250000e-03 [609]\n", - "--- Max DT=3.520283e-01 > 1.000000e-01 [67632]\n", + "--- Min DT=4.556293e-06 < 6.250000e-03 [833]\n", + "--- Max DT=4.331456e-01 > 1.000000e-01 [68346]\n", "----------------------------------------------------------------------\n", - " Component | low: 609/100000\n", - " Component | high: 67632/100000\n", + " Component | low: 833/100000\n", + " Component | high: 68346/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=49.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00126891 [ 0.74 %]\n", - "Velocity : 0.00345952 [ 2.02 %]\n", - "Force : 0.062432 [ 36.54 %]\n", - "Coefs : 0.0247943 [ 14.51 %]\n", - "Output : 0.00190974 [ 1.12 %]\n", - "Levels : 0.000260235 [ 0.15 %]\n", - "Report : 5.56e-07 [ 0.00 %]\n", - "Balance : 3.02e-07 [ 0.00 %]\n", - "Adjust : 0.0766975 [ 44.88 %]\n", - "Total : 0.170881 [100.00 %]\n", + "Drift : 0.000691483 [ 0.49 %]\n", + "Velocity : 0.00173688 [ 1.22 %]\n", + "Force : 0.0517362 [ 36.49 %]\n", + "Coefs : 0.0227085 [ 16.02 %]\n", + "Output : 0.000676429 [ 0.48 %]\n", + "Levels : 0.000177992 [ 0.13 %]\n", + "Report : 8.28e-07 [ 0.00 %]\n", + "Balance : 2.83e-07 [ 0.00 %]\n", + "Adjust : 0.0640217 [ 45.15 %]\n", + "Total : 0.141791 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6208 553 221 89 71 \n", - "1 : 6179 637 194 65 67 \n", - "2 : 6166 621 221 61 73 \n", - "3 : 6149 621 236 64 72 \n", - "4 : 6173 589 236 72 72 \n", - "5 : 6210 586 200 75 71 \n", - "6 : 6173 616 209 71 73 \n", - "7 : 6141 617 232 83 69 \n", - "8 : 6167 610 234 62 69 \n", - "9 : 6137 598 229 89 89 \n", - "10 : 6163 597 236 63 83 \n", - "11 : 6150 613 223 76 80 \n", - "12 : 6158 599 231 78 76 \n", - "13 : 6144 638 210 75 87 \n", + "0 : 5863 708 334 124 113 \n", + "1 : 5908 691 329 115 99 \n", + "2 : 5913 682 330 108 109 \n", + "3 : 5972 681 307 86 96 \n", + "4 : 5942 669 300 110 121 \n", + "5 : 5934 717 297 95 99 \n", + "6 : 5885 704 332 105 116 \n", + "7 : 5920 685 324 107 106 \n", + "8 : 5918 688 315 104 117 \n", + "9 : 5889 746 318 104 85 \n", + "10 : 5869 750 308 115 100 \n", + "11 : 5914 691 330 105 102 \n", + "12 : 5875 758 296 106 107 \n", + "13 : 5940 709 292 113 100 \n", "\n", - "T : 86318 8495 3112 1023 1052 [100000]\n", + "T : 82742 9879 4412 1497 1470 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.2485e-02 sec\n", - "--- Collate = 8.5097e-05 sec\n", + "--- Coef/DT = 4.0%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 1.0444e-02 sec\n", + "--- Collate = 7.1263e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.426578e-06 < 6.250000e-03 [615]\n", - "--- Max DT=3.523303e-01 > 1.000000e-01 [67615]\n", + "--- Min DT=3.254590e-07 < 6.250000e-03 [832]\n", + "--- Max DT=4.385445e-01 > 1.000000e-01 [68378]\n", "----------------------------------------------------------------------\n", - " Component | low: 615/100000\n", - " Component | high: 67615/100000\n", + " Component | low: 832/100000\n", + " Component | high: 68378/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=49.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000947926 [ 0.56 %]\n", - "Velocity : 0.00361824 [ 2.13 %]\n", - "Force : 0.0631422 [ 37.18 %]\n", - "Coefs : 0.0255444 [ 15.04 %]\n", - "Output : 0.00171658 [ 1.01 %]\n", - "Levels : 0.00032941 [ 0.19 %]\n", - "Report : 8.52e-07 [ 0.00 %]\n", - "Balance : 3.57e-07 [ 0.00 %]\n", - "Adjust : 0.0744839 [ 43.86 %]\n", - "Total : 0.169841 [100.00 %]\n", + "Drift : 0.000528312 [ 0.37 %]\n", + "Velocity : 0.00168967 [ 1.17 %]\n", + "Force : 0.0530462 [ 36.70 %]\n", + "Coefs : 0.0231715 [ 16.03 %]\n", + "Output : 0.000807104 [ 0.56 %]\n", + "Levels : 0.00021208 [ 0.15 %]\n", + "Report : 9.97e-07 [ 0.00 %]\n", + "Balance : 4.37e-07 [ 0.00 %]\n", + "Adjust : 0.0650372 [ 45.00 %]\n", + "Total : 0.144532 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6211 552 217 88 74 \n", - "1 : 6181 630 199 61 71 \n", - "2 : 6161 624 225 62 70 \n", - "3 : 6147 631 223 66 75 \n", - "4 : 6166 596 235 73 72 \n", - "5 : 6205 594 199 65 79 \n", - "6 : 6171 619 206 71 75 \n", - "7 : 6146 604 240 81 71 \n", - "8 : 6169 615 227 59 72 \n", - "9 : 6138 590 241 89 84 \n", - "10 : 6156 612 223 73 78 \n", - "11 : 6146 612 226 78 80 \n", - "12 : 6154 600 239 74 75 \n", - "13 : 6146 639 205 78 86 \n", + "0 : 5860 714 327 132 109 \n", + "1 : 5907 689 338 106 102 \n", + "2 : 5915 681 332 107 107 \n", + "3 : 5974 677 305 94 92 \n", + "4 : 5934 669 313 112 114 \n", + "5 : 5929 721 298 97 97 \n", + "6 : 5888 697 331 109 117 \n", + "7 : 5914 700 314 104 110 \n", + "8 : 5915 690 314 103 120 \n", + "9 : 5884 750 318 101 89 \n", + "10 : 5870 741 316 109 106 \n", + "11 : 5910 702 328 96 106 \n", + "12 : 5872 766 295 104 105 \n", + "13 : 5949 697 292 113 103 \n", "\n", - "T : 86297 8518 3105 1018 1062 [100000]\n", + "T : 82721 9894 4421 1487 1477 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.7%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0926e-02 sec\n", - "--- Collate = 7.4129e-05 sec\n", + "--- Coef/DT = 3.7%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 1.0464e-02 sec\n", + "--- Collate = 7.1295e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.343942e-06 < 6.250000e-03 [625]\n", - "--- Max DT=3.526236e-01 > 1.000000e-01 [67598]\n", + "--- Min DT=1.735951e-07 < 6.250000e-03 [831]\n", + "--- Max DT=4.439535e-01 > 1.000000e-01 [68396]\n", "----------------------------------------------------------------------\n", - " Component | low: 625/100000\n", - " Component | high: 67598/100000\n", + " Component | low: 831/100000\n", + " Component | high: 68396/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=49.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00130819 [ 0.78 %]\n", - "Velocity : 0.00396594 [ 2.36 %]\n", - "Force : 0.0624852 [ 37.25 %]\n", - "Coefs : 0.0236669 [ 14.11 %]\n", - "Output : 0.00162393 [ 0.97 %]\n", - "Levels : 0.000256141 [ 0.15 %]\n", - "Report : 8.72e-07 [ 0.00 %]\n", - "Balance : 3.12e-07 [ 0.00 %]\n", - "Adjust : 0.0743937 [ 44.35 %]\n", - "Total : 0.167753 [100.00 %]\n", + "Drift : 0.00060096 [ 0.42 %]\n", + "Velocity : 0.00156082 [ 1.08 %]\n", + "Force : 0.052745 [ 36.66 %]\n", + "Coefs : 0.02308 [ 16.04 %]\n", + "Output : 0.000646398 [ 0.45 %]\n", + "Levels : 0.000163277 [ 0.11 %]\n", + "Report : 1.02e-06 [ 0.00 %]\n", + "Balance : 5.03e-07 [ 0.00 %]\n", + "Adjust : 0.0650186 [ 45.20 %]\n", + "Total : 0.143859 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6204 558 222 80 78 \n", - "1 : 6176 630 201 64 71 \n", - "2 : 6155 634 217 69 67 \n", - "3 : 6143 640 219 68 72 \n", - "4 : 6161 599 235 76 71 \n", - "5 : 6205 596 194 66 81 \n", - "6 : 6171 618 205 66 82 \n", - "7 : 6154 593 242 82 71 \n", - "8 : 6159 628 217 62 76 \n", - "9 : 6135 595 238 92 82 \n", - "10 : 6154 617 221 71 79 \n", - "11 : 6151 613 221 74 83 \n", - "12 : 6154 599 246 75 68 \n", - "13 : 6149 634 206 82 83 \n", + "0 : 5861 717 331 120 113 \n", + "1 : 5904 684 345 112 97 \n", + "2 : 5914 689 325 99 115 \n", + "3 : 5969 694 296 95 88 \n", + "4 : 5938 654 333 101 116 \n", + "5 : 5929 722 297 99 95 \n", + "6 : 5893 695 340 103 111 \n", + "7 : 5905 706 321 99 111 \n", + "8 : 5917 689 315 98 123 \n", + "9 : 5889 744 323 96 90 \n", + "10 : 5869 738 322 108 105 \n", + "11 : 5904 706 333 91 108 \n", + "12 : 5868 765 293 109 107 \n", + "13 : 5951 699 288 110 106 \n", "\n", - "T : 86271 8554 3084 1027 1064 [100000]\n", + "T : 82711 9902 4462 1440 1485 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.4%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.1171e-02 sec\n", - "--- Collate = 7.9418e-05 sec\n", + "--- Coef/DT = 3.5%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 1.0402e-02 sec\n", + "--- Collate = 6.4212e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.264219e-07 < 6.250000e-03 [632]\n", - "--- Max DT=3.529084e-01 > 1.000000e-01 [67574]\n", + "--- Min DT=3.225988e-06 < 6.250000e-03 [827]\n", + "--- Max DT=4.493725e-01 > 1.000000e-01 [68425]\n", "----------------------------------------------------------------------\n", - " Component | low: 632/100000\n", - " Component | high: 67574/100000\n", + " Component | low: 827/100000\n", + " Component | high: 68425/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=49.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00130631 [ 0.79 %]\n", - "Velocity : 0.00379655 [ 2.29 %]\n", - "Force : 0.0620937 [ 37.39 %]\n", - "Coefs : 0.0233643 [ 14.07 %]\n", - "Output : 0.00171177 [ 1.03 %]\n", - "Levels : 0.000290209 [ 0.17 %]\n", - "Report : 6.25e-07 [ 0.00 %]\n", - "Balance : 3.37e-07 [ 0.00 %]\n", - "Adjust : 0.0734313 [ 44.22 %]\n", - "Total : 0.166049 [100.00 %]\n", + "Drift : 0.000527031 [ 0.37 %]\n", + "Velocity : 0.00163625 [ 1.14 %]\n", + "Force : 0.0525783 [ 36.66 %]\n", + "Coefs : 0.0232463 [ 16.21 %]\n", + "Output : 0.000685052 [ 0.48 %]\n", + "Levels : 0.000189033 [ 0.13 %]\n", + "Report : 8.11e-07 [ 0.00 %]\n", + "Balance : 4.13e-07 [ 0.00 %]\n", + "Adjust : 0.0645111 [ 44.98 %]\n", + "Total : 0.143416 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6198 568 220 84 72 \n", - "1 : 6174 622 212 56 78 \n", - "2 : 6153 634 222 73 60 \n", - "3 : 6141 642 219 70 70 \n", - "4 : 6168 590 235 80 69 \n", - "5 : 6200 599 200 69 74 \n", - "6 : 6172 619 203 64 84 \n", - "7 : 6148 603 239 79 73 \n", - "8 : 6155 628 218 67 74 \n", - "9 : 6137 590 245 88 82 \n", - "10 : 6156 614 222 73 77 \n", - "11 : 6152 609 226 72 83 \n", - "12 : 6153 594 246 84 65 \n", - "13 : 6150 634 211 77 82 \n", + "0 : 5868 705 338 122 109 \n", + "1 : 5901 694 337 120 90 \n", + "2 : 5914 690 327 104 107 \n", + "3 : 5970 694 291 105 82 \n", + "4 : 5935 653 342 106 106 \n", + "5 : 5913 735 295 101 98 \n", + "6 : 5886 714 324 110 108 \n", + "7 : 5911 697 325 102 107 \n", + "8 : 5915 691 320 95 121 \n", + "9 : 5890 742 317 102 91 \n", + "10 : 5864 749 319 103 107 \n", + "11 : 5905 706 330 89 112 \n", + "12 : 5863 767 295 115 102 \n", + "13 : 5950 710 279 107 108 \n", "\n", - "T : 86257 8546 3118 1036 1043 [100000]\n", + "T : 82685 9947 4439 1481 1448 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.2386e-02 sec\n", - "--- Collate = 8.5696e-05 sec\n", + "--- Coef/DT = 3.9%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 1.0434e-02 sec\n", + "--- Collate = 6.8382e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.680030e-05 < 6.250000e-03 [626]\n", - "--- Max DT=3.531878e-01 > 1.000000e-01 [67565]\n", + "--- Min DT=6.603290e-07 < 6.250000e-03 [842]\n", + "--- Max DT=4.548014e-01 > 1.000000e-01 [68469]\n", "----------------------------------------------------------------------\n", - " Component | low: 626/100000\n", - " Component | high: 67565/100000\n", + " Component | low: 842/100000\n", + " Component | high: 68469/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=49.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00130898 [ 0.77 %]\n", - "Velocity : 0.00394739 [ 2.34 %]\n", - "Force : 0.0620146 [ 36.70 %]\n", - "Coefs : 0.0245341 [ 14.52 %]\n", - "Output : 0.00179912 [ 1.06 %]\n", - "Levels : 0.000267743 [ 0.16 %]\n", - "Report : 5.97e-07 [ 0.00 %]\n", - "Balance : 3.1e-07 [ 0.00 %]\n", - "Adjust : 0.0750318 [ 44.41 %]\n", - "Total : 0.168958 [100.00 %]\n", + "Drift : 0.000588398 [ 0.41 %]\n", + "Velocity : 0.0017307 [ 1.20 %]\n", + "Force : 0.0522679 [ 36.35 %]\n", + "Coefs : 0.022887 [ 15.92 %]\n", + "Output : 0.00075984 [ 0.53 %]\n", + "Levels : 0.000162034 [ 0.11 %]\n", + "Report : 8.33e-07 [ 0.00 %]\n", + "Balance : 5.47e-07 [ 0.00 %]\n", + "Adjust : 0.0653666 [ 45.45 %]\n", + "Total : 0.143805 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6190 570 224 83 75 \n", - "1 : 6177 620 211 61 73 \n", - "2 : 6154 633 221 76 58 \n", - "3 : 6137 644 224 65 72 \n", - "4 : 6171 595 232 64 80 \n", - "5 : 6203 595 200 68 76 \n", - "6 : 6172 616 201 75 78 \n", - "7 : 6144 609 240 74 75 \n", - "8 : 6156 633 207 73 73 \n", - "9 : 6134 599 241 83 85 \n", - "10 : 6149 620 227 78 68 \n", - "11 : 6149 610 230 67 86 \n", - "12 : 6152 597 254 70 69 \n", - "13 : 6150 633 213 74 84 \n", + "0 : 5867 702 340 133 100 \n", + "1 : 5906 687 334 118 97 \n", + "2 : 5911 694 330 101 106 \n", + "3 : 5965 687 296 109 85 \n", + "4 : 5928 665 347 100 102 \n", + "5 : 5913 724 296 111 98 \n", + "6 : 5879 725 317 114 107 \n", + "7 : 5912 694 326 99 111 \n", + "8 : 5919 688 326 92 117 \n", + "9 : 5894 733 320 98 97 \n", + "10 : 5869 742 325 98 108 \n", + "11 : 5911 700 329 97 105 \n", + "12 : 5859 765 306 112 100 \n", + "13 : 5946 717 281 98 112 \n", "\n", - "T : 86238 8574 3125 1011 1052 [100000]\n", + "T : 82679 9923 4473 1480 1445 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.3%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 2.1828e-02 sec\n", - "--- Collate = 7.2432e-05 sec\n", + "--- Coef/DT = 3.6%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 1.0883e-02 sec\n", + "--- Collate = 7.3648e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.332500e-06 < 6.250000e-03 [630]\n", - "--- Max DT=3.534621e-01 > 1.000000e-01 [67532]\n", + "--- Min DT=9.311687e-06 < 6.250000e-03 [839]\n", + "--- Max DT=4.602400e-01 > 1.000000e-01 [68489]\n", "----------------------------------------------------------------------\n", - " Component | low: 630/100000\n", - " Component | high: 67532/100000\n", + " Component | low: 839/100000\n", + " Component | high: 68489/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=49.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00146109 [ 0.80 %]\n", - "Velocity : 0.00329164 [ 1.80 %]\n", - "Force : 0.0623116 [ 34.01 %]\n", - "Coefs : 0.0238824 [ 13.04 %]\n", - "Output : 0.00175995 [ 0.96 %]\n", - "Levels : 0.000274835 [ 0.15 %]\n", - "Report : 6.05e-07 [ 0.00 %]\n", - "Balance : 2.71e-07 [ 0.00 %]\n", - "Adjust : 0.0901572 [ 49.21 %]\n", - "Total : 0.183197 [100.00 %]\n", + "Drift : 0.0005309 [ 0.36 %]\n", + "Velocity : 0.00223071 [ 1.52 %]\n", + "Force : 0.0535011 [ 36.38 %]\n", + "Coefs : 0.0225289 [ 15.32 %]\n", + "Output : 0.000698463 [ 0.47 %]\n", + "Levels : 0.000259833 [ 0.18 %]\n", + "Report : 1.127e-06 [ 0.00 %]\n", + "Balance : 4.75e-07 [ 0.00 %]\n", + "Adjust : 0.0672548 [ 45.74 %]\n", + "Total : 0.14705 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6193 569 224 75 81 \n", - "1 : 6178 611 221 63 69 \n", - "2 : 6147 633 232 69 61 \n", - "3 : 6135 647 226 63 71 \n", - "4 : 6168 596 224 79 75 \n", - "5 : 6202 592 208 67 73 \n", - "6 : 6169 622 195 80 76 \n", - "7 : 6143 615 232 74 78 \n", - "8 : 6158 628 210 73 73 \n", - "9 : 6131 603 244 74 90 \n", - "10 : 6152 619 225 74 72 \n", - "11 : 6146 612 232 67 85 \n", - "12 : 6153 597 257 65 70 \n", - "13 : 6154 631 215 73 81 \n", + "0 : 5866 702 349 124 101 \n", + "1 : 5905 681 339 120 97 \n", + "2 : 5916 687 334 92 113 \n", + "3 : 5964 693 287 111 87 \n", + "4 : 5936 653 346 104 103 \n", + "5 : 5906 733 291 117 95 \n", + "6 : 5884 710 329 110 109 \n", + "7 : 5907 703 322 105 105 \n", + "8 : 5919 691 317 99 116 \n", + "9 : 5907 723 315 101 96 \n", + "10 : 5870 740 327 104 101 \n", + "11 : 5907 704 328 99 104 \n", + "12 : 5857 767 314 109 95 \n", + "13 : 5949 709 280 100 116 \n", "\n", - "T : 86229 8575 3145 996 1055 [100000]\n", + "T : 82693 9896 4478 1495 1438 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.0628e-02 sec\n", - "--- Collate = 8.9653e-05 sec\n", + "--- Coef/DT = 4.0%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 1.0918e-02 sec\n", + "--- Collate = 6.8669e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.164000e-09 < 6.250000e-03 [627]\n", - "--- Max DT=3.537274e-01 > 1.000000e-01 [67501]\n", + "--- Min DT=1.369964e-06 < 6.250000e-03 [839]\n", + "--- Max DT=4.656883e-01 > 1.000000e-01 [68525]\n", "----------------------------------------------------------------------\n", - " Component | low: 627/100000\n", - " Component | high: 67501/100000\n", + " Component | low: 839/100000\n", + " Component | high: 68525/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=49.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00114999 [ 0.44 %]\n", - "Velocity : 0.00408953 [ 1.56 %]\n", - "Force : 0.0940381 [ 35.85 %]\n", - "Coefs : 0.0661548 [ 25.22 %]\n", - "Output : 0.00182249 [ 0.69 %]\n", - "Levels : 0.000244432 [ 0.09 %]\n", - "Report : 6.25e-07 [ 0.00 %]\n", - "Balance : 2.97e-07 [ 0.00 %]\n", - "Adjust : 0.0947736 [ 36.13 %]\n", - "Total : 0.262328 [100.00 %]\n", + "Drift : 0.000604622 [ 0.40 %]\n", + "Velocity : 0.00167518 [ 1.11 %]\n", + "Force : 0.0546183 [ 36.31 %]\n", + "Coefs : 0.0233108 [ 15.50 %]\n", + "Output : 0.000740867 [ 0.49 %]\n", + "Levels : 0.00015431 [ 0.10 %]\n", + "Report : 1.027e-06 [ 0.00 %]\n", + "Balance : 4.28e-07 [ 0.00 %]\n", + "Adjust : 0.0692582 [ 46.05 %]\n", + "Total : 0.150407 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6197 569 225 72 79 \n", - "1 : 6175 615 211 71 70 \n", - "2 : 6139 637 236 72 58 \n", - "3 : 6131 653 224 67 67 \n", - "4 : 6164 602 222 79 75 \n", - "5 : 6193 597 202 71 79 \n", - "6 : 6171 624 191 76 80 \n", - "7 : 6144 615 232 68 83 \n", - "8 : 6153 640 203 74 72 \n", - "9 : 6132 604 242 75 89 \n", - "10 : 6146 630 222 66 78 \n", - "11 : 6144 611 236 67 84 \n", - "12 : 6150 603 256 66 67 \n", - "13 : 6155 628 212 83 76 \n", + "0 : 5863 703 356 121 99 \n", + "1 : 5906 683 334 115 104 \n", + "2 : 5914 687 336 93 112 \n", + "3 : 5963 692 293 100 94 \n", + "4 : 5936 653 344 119 90 \n", + "5 : 5916 718 299 108 101 \n", + "6 : 5886 701 333 113 109 \n", + "7 : 5904 701 321 110 106 \n", + "8 : 5917 690 325 94 116 \n", + "9 : 5902 718 324 102 96 \n", + "10 : 5870 734 330 111 97 \n", + "11 : 5908 703 331 99 101 \n", + "12 : 5860 766 310 106 100 \n", + "13 : 5942 722 275 100 115 \n", "\n", - "T : 86194 8628 3114 1007 1057 [100000]\n", + "T : 82687 9871 4511 1491 1440 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.7%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 2.3433e-02 sec\n", - "--- Collate = 8.7869e-05 sec\n", + "--- Coef/DT = 3.8%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 1.0791e-02 sec\n", + "--- Collate = 6.9864e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.100017e-05 < 6.250000e-03 [627]\n", - "--- Max DT=3.539895e-01 > 1.000000e-01 [67474]\n", + "--- Min DT=3.520870e-06 < 6.250000e-03 [842]\n", + "--- Max DT=4.711461e-01 > 1.000000e-01 [68534]\n", "----------------------------------------------------------------------\n", - " Component | low: 627/100000\n", - " Component | high: 67474/100000\n", + " Component | low: 842/100000\n", + " Component | high: 68534/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=50] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00136983 [ 0.34 %]\n", - "Velocity : 0.00424992 [ 1.07 %]\n", - "Force : 0.0949816 [ 23.82 %]\n", - "Coefs : 0.0300216 [ 7.53 %]\n", - "Output : 0.163184 [ 40.92 %]\n", - "Levels : 0.000310258 [ 0.08 %]\n", - "Report : 1.447e-06 [ 0.00 %]\n", - "Balance : 9.61e-07 [ 0.00 %]\n", - "Adjust : 0.10457 [ 26.22 %]\n", - "Total : 0.398749 [100.00 %]\n", + "Drift : 0.00055553 [ 0.22 %]\n", + "Velocity : 0.00163488 [ 0.64 %]\n", + "Force : 0.0545678 [ 21.23 %]\n", + "Coefs : 0.0233529 [ 9.09 %]\n", + "Output : 0.107064 [ 41.65 %]\n", + "Levels : 0.000150944 [ 0.06 %]\n", + "Report : 1.009e-06 [ 0.00 %]\n", + "Balance : 5.58e-07 [ 0.00 %]\n", + "Adjust : 0.069658 [ 27.10 %]\n", + "Total : 0.257032 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6194 579 222 67 80 \n", - "1 : 6172 620 203 79 68 \n", - "2 : 6140 632 244 68 58 \n", - "3 : 6126 658 228 61 69 \n", - "4 : 6160 605 218 78 81 \n", - "5 : 6193 597 206 66 80 \n", - "6 : 6170 624 190 76 82 \n", - "7 : 6149 614 231 66 82 \n", - "8 : 6153 640 198 82 69 \n", - "9 : 6134 615 230 67 96 \n", - "10 : 6143 636 213 65 85 \n", - "11 : 6136 622 235 64 85 \n", - "12 : 6144 613 257 62 66 \n", - "13 : 6151 627 220 77 79 \n", + "0 : 5864 697 360 120 101 \n", + "1 : 5905 680 343 112 102 \n", + "2 : 5910 691 332 103 106 \n", + "3 : 5965 684 294 103 96 \n", + "4 : 5936 650 349 116 91 \n", + "5 : 5913 720 307 95 107 \n", + "6 : 5884 709 325 119 105 \n", + "7 : 5908 696 324 106 108 \n", + "8 : 5916 696 321 98 111 \n", + "9 : 5911 712 315 112 92 \n", + "10 : 5868 740 328 102 104 \n", + "11 : 5912 703 321 102 104 \n", + "12 : 5859 760 322 101 100 \n", + "13 : 5948 710 281 104 111 \n", "\n", - "T : 86165 8682 3095 978 1080 [100000]\n", + "T : 82699 9848 4522 1493 1438 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.9%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.2191e-02 sec\n", - "--- Collate = 1.8513e-04 sec\n", + "--- Coef/DT = 3.7%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 1.0872e-02 sec\n", + "--- Collate = 7.6293e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.215809e-06 < 6.250000e-03 [650]\n", - "--- Max DT=3.542460e-01 > 1.000000e-01 [67448]\n", + "--- Min DT=9.267124e-06 < 6.250000e-03 [821]\n", + "--- Max DT=4.766135e-01 > 1.000000e-01 [68574]\n", "----------------------------------------------------------------------\n", - " Component | low: 650/100000\n", - " Component | high: 67448/100000\n", + " Component | low: 821/100000\n", + " Component | high: 68574/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=50.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00129364 [ 0.74 %]\n", - "Velocity : 0.00450786 [ 2.58 %]\n", - "Force : 0.0641467 [ 36.74 %]\n", - "Coefs : 0.024324 [ 13.93 %]\n", - "Output : 0.00184665 [ 1.06 %]\n", - "Levels : 0.000267096 [ 0.15 %]\n", - "Report : 8.46e-07 [ 0.00 %]\n", - "Balance : 3.35e-07 [ 0.00 %]\n", - "Adjust : 0.07815 [ 44.76 %]\n", - "Total : 0.174592 [100.00 %]\n", + "Drift : 0.000637717 [ 0.43 %]\n", + "Velocity : 0.00187167 [ 1.26 %]\n", + "Force : 0.0541391 [ 36.44 %]\n", + "Coefs : 0.0230399 [ 15.51 %]\n", + "Output : 0.000881398 [ 0.59 %]\n", + "Levels : 0.000158246 [ 0.11 %]\n", + "Report : 1.188e-06 [ 0.00 %]\n", + "Balance : 3.71e-07 [ 0.00 %]\n", + "Adjust : 0.067813 [ 45.64 %]\n", + "Total : 0.148587 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6193 581 220 61 87 \n", - "1 : 6174 616 207 72 73 \n", - "2 : 6143 634 238 69 58 \n", - "3 : 6126 658 225 64 69 \n", - "4 : 6168 598 217 79 80 \n", - "5 : 6189 598 205 65 85 \n", - "6 : 6167 629 187 79 80 \n", - "7 : 6151 608 235 72 76 \n", - "8 : 6155 640 194 84 69 \n", - "9 : 6136 609 234 67 96 \n", - "10 : 6147 629 219 65 82 \n", - "11 : 6131 627 235 69 80 \n", - "12 : 6150 606 253 64 69 \n", - "13 : 6148 629 223 77 77 \n", + "0 : 5869 695 354 121 103 \n", + "1 : 5904 677 354 97 110 \n", + "2 : 5908 691 335 103 105 \n", + "3 : 5965 668 306 103 100 \n", + "4 : 5934 654 346 124 84 \n", + "5 : 5926 703 311 92 110 \n", + "6 : 5888 703 327 111 113 \n", + "7 : 5903 699 327 102 111 \n", + "8 : 5914 712 305 103 108 \n", + "9 : 5907 713 314 113 95 \n", + "10 : 5864 748 326 100 104 \n", + "11 : 5915 700 318 112 97 \n", + "12 : 5859 753 325 111 94 \n", + "13 : 5946 702 289 106 111 \n", "\n", - "T : 86178 8662 3092 987 1081 [100000]\n", + "T : 82702 9818 4537 1498 1445 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.0%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.2672e-02 sec\n", - "--- Collate = 8.8542e-05 sec\n", + "--- Coef/DT = 3.9%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 1.0550e-02 sec\n", + "--- Collate = 6.4284e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.153799e-05 < 6.250000e-03 [672]\n", - "--- Max DT=3.544990e-01 > 1.000000e-01 [67411]\n", + "--- Min DT=2.013225e-06 < 6.250000e-03 [809]\n", + "--- Max DT=4.820903e-01 > 1.000000e-01 [68609]\n", "----------------------------------------------------------------------\n", - " Component | low: 672/100000\n", - " Component | high: 67411/100000\n", + " Component | low: 809/100000\n", + " Component | high: 68609/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=50.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00131241 [ 0.70 %]\n", - "Velocity : 0.0039566 [ 2.12 %]\n", - "Force : 0.0769377 [ 41.24 %]\n", - "Coefs : 0.0257758 [ 13.82 %]\n", - "Output : 0.0017693 [ 0.95 %]\n", - "Levels : 0.000281969 [ 0.15 %]\n", - "Report : 9.12e-07 [ 0.00 %]\n", - "Balance : 3.13e-07 [ 0.00 %]\n", - "Adjust : 0.076458 [ 40.99 %]\n", - "Total : 0.186551 [100.00 %]\n", + "Drift : 0.000650984 [ 0.45 %]\n", + "Velocity : 0.00227021 [ 1.57 %]\n", + "Force : 0.0529192 [ 36.67 %]\n", + "Coefs : 0.0224741 [ 15.58 %]\n", + "Output : 0.000963413 [ 0.67 %]\n", + "Levels : 0.000193727 [ 0.13 %]\n", + "Report : 1.008e-06 [ 0.00 %]\n", + "Balance : 5.35e-07 [ 0.00 %]\n", + "Adjust : 0.064765 [ 44.88 %]\n", + "Total : 0.144294 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6199 576 215 69 83 \n", - "1 : 6169 623 210 66 74 \n", - "2 : 6135 640 240 65 62 \n", - "3 : 6122 660 228 61 71 \n", - "4 : 6166 606 210 77 83 \n", - "5 : 6184 599 206 69 84 \n", - "6 : 6168 620 194 76 84 \n", - "7 : 6152 609 234 73 74 \n", - "8 : 6158 640 194 76 74 \n", - "9 : 6133 616 235 68 90 \n", - "10 : 6145 622 223 71 81 \n", - "11 : 6128 634 225 80 75 \n", - "12 : 6153 590 265 70 64 \n", - "13 : 6141 635 223 85 70 \n", + "0 : 5860 707 353 116 106 \n", + "1 : 5901 691 335 105 110 \n", + "2 : 5909 695 328 109 101 \n", + "3 : 5961 672 305 106 98 \n", + "4 : 5935 654 352 108 93 \n", + "5 : 5924 711 300 95 112 \n", + "6 : 5887 701 326 112 116 \n", + "7 : 5911 688 328 103 112 \n", + "8 : 5912 710 311 100 109 \n", + "9 : 5908 702 330 105 97 \n", + "10 : 5865 739 326 112 100 \n", + "11 : 5909 715 307 112 99 \n", + "12 : 5852 763 324 111 92 \n", + "13 : 5943 703 284 107 117 \n", "\n", - "T : 86153 8670 3102 1006 1069 [100000]\n", + "T : 82677 9851 4509 1501 1462 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.0%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.1093e-02 sec\n", - "--- Collate = 1.3125e-04 sec\n", + "--- Coef/DT = 4.0%\n", + "--- Adj/Tot = 2.3%\n", + "--- Update = 1.2437e-02 sec\n", + "--- Collate = 7.4472e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.440907e-06 < 6.250000e-03 [664]\n", - "--- Max DT=3.547451e-01 > 1.000000e-01 [67394]\n", + "--- Min DT=1.435130e-06 < 6.250000e-03 [821]\n", + "--- Max DT=4.875765e-01 > 1.000000e-01 [68609]\n", "----------------------------------------------------------------------\n", - " Component | low: 664/100000\n", - " Component | high: 67394/100000\n", + " Component | low: 821/100000\n", + " Component | high: 68609/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=50.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000914653 [ 0.56 %]\n", - "Velocity : 0.00423915 [ 2.58 %]\n", - "Force : 0.0610334 [ 37.20 %]\n", - "Coefs : 0.0266376 [ 16.24 %]\n", - "Output : 0.00175114 [ 1.07 %]\n", - "Levels : 0.000297103 [ 0.18 %]\n", - "Report : 5.74e-07 [ 0.00 %]\n", - "Balance : 2.9e-07 [ 0.00 %]\n", - "Adjust : 0.069133 [ 42.14 %]\n", - "Total : 0.164061 [100.00 %]\n", + "Drift : 0.000644109 [ 0.42 %]\n", + "Velocity : 0.00184582 [ 1.21 %]\n", + "Force : 0.0569155 [ 37.25 %]\n", + "Coefs : 0.0231558 [ 15.15 %]\n", + "Output : 0.000723745 [ 0.47 %]\n", + "Levels : 0.000191824 [ 0.13 %]\n", + "Report : 1.167e-06 [ 0.00 %]\n", + "Balance : 4.65e-07 [ 0.00 %]\n", + "Adjust : 0.0692816 [ 45.34 %]\n", + "Total : 0.152811 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6192 585 208 74 83 \n", - "1 : 6169 621 205 77 70 \n", - "2 : 6139 644 230 65 64 \n", - "3 : 6124 659 224 66 69 \n", - "4 : 6162 604 210 75 91 \n", - "5 : 6186 590 218 60 88 \n", - "6 : 6163 620 201 67 91 \n", - "7 : 6154 605 233 75 75 \n", - "8 : 6164 627 202 71 78 \n", - "9 : 6133 617 238 70 84 \n", - "10 : 6141 624 219 71 87 \n", - "11 : 6127 629 230 82 74 \n", - "12 : 6148 594 264 74 62 \n", - "13 : 6146 624 229 80 75 \n", + "0 : 5864 708 352 116 102 \n", + "1 : 5881 709 339 102 111 \n", + "2 : 5911 690 326 114 101 \n", + "3 : 5971 665 308 101 97 \n", + "4 : 5932 662 345 115 88 \n", + "5 : 5922 719 291 94 116 \n", + "6 : 5887 697 338 108 112 \n", + "7 : 5908 691 324 107 112 \n", + "8 : 5915 702 316 112 97 \n", + "9 : 5902 716 324 103 97 \n", + "10 : 5864 741 325 111 101 \n", + "11 : 5913 714 306 109 100 \n", + "12 : 5850 768 322 111 91 \n", + "13 : 5939 696 295 106 118 \n", "\n", - "T : 86148 8643 3111 1007 1091 [100000]\n", + "T : 82659 9878 4511 1509 1443 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.2568e-02 sec\n", - "--- Collate = 1.6110e-04 sec\n", + "--- Coef/DT = 4.7%\n", + "--- Adj/Tot = 2.3%\n", + "--- Update = 1.0647e-02 sec\n", + "--- Collate = 8.7976e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.226910e-06 < 6.250000e-03 [661]\n", - "--- Max DT=3.549803e-01 > 1.000000e-01 [67363]\n", + "--- Min DT=9.965465e-06 < 6.250000e-03 [834]\n", + "--- Max DT=4.930718e-01 > 1.000000e-01 [68620]\n", "----------------------------------------------------------------------\n", - " Component | low: 661/100000\n", - " Component | high: 67363/100000\n", + " Component | low: 834/100000\n", + " Component | high: 68620/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=50.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00121192 [ 0.73 %]\n", - "Velocity : 0.00382142 [ 2.31 %]\n", - "Force : 0.0598066 [ 36.16 %]\n", - "Coefs : 0.0231138 [ 13.97 %]\n", - "Output : 0.00169842 [ 1.03 %]\n", - "Levels : 0.000231158 [ 0.14 %]\n", - "Report : 7.09e-07 [ 0.00 %]\n", - "Balance : 3.28e-07 [ 0.00 %]\n", - "Adjust : 0.0754641 [ 45.62 %]\n", - "Total : 0.165402 [100.00 %]\n", + "Drift : 0.000584023 [ 0.29 %]\n", + "Velocity : 0.00159252 [ 0.78 %]\n", + "Force : 0.0875258 [ 43.09 %]\n", + "Coefs : 0.0242793 [ 11.95 %]\n", + "Output : 0.000648641 [ 0.32 %]\n", + "Levels : 0.000172996 [ 0.09 %]\n", + "Report : 6.95e-07 [ 0.00 %]\n", + "Balance : 4.38e-07 [ 0.00 %]\n", + "Adjust : 0.0882629 [ 43.46 %]\n", + "Total : 0.203106 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6189 585 207 81 80 \n", - "1 : 6172 609 219 76 66 \n", - "2 : 6133 649 231 64 65 \n", - "3 : 6126 654 225 64 73 \n", - "4 : 6162 603 209 72 96 \n", - "5 : 6184 596 213 66 83 \n", - "6 : 6164 611 199 78 90 \n", - "7 : 6153 598 236 71 84 \n", - "8 : 6161 632 198 71 80 \n", - "9 : 6129 621 235 75 82 \n", - "10 : 6145 616 227 70 84 \n", - "11 : 6121 638 232 85 66 \n", - "12 : 6138 609 257 67 71 \n", - "13 : 6145 618 236 82 73 \n", + "0 : 5863 719 347 113 100 \n", + "1 : 5883 712 334 92 121 \n", + "2 : 5909 690 321 126 96 \n", + "3 : 5973 672 295 102 100 \n", + "4 : 5931 661 342 108 100 \n", + "5 : 5924 717 295 89 117 \n", + "6 : 5885 704 332 114 107 \n", + "7 : 5909 687 321 124 101 \n", + "8 : 5908 711 314 116 93 \n", + "9 : 5899 719 321 103 100 \n", + "10 : 5859 745 330 110 98 \n", + "11 : 5908 725 301 101 107 \n", + "12 : 5857 759 328 104 94 \n", + "13 : 5940 691 293 106 124 \n", "\n", - "T : 86122 8639 3124 1022 1093 [100000]\n", + "T : 82648 9912 4474 1508 1458 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.2379e-02 sec\n", - "--- Collate = 5.9932e-05 sec\n", + "--- Coef/DT = 4.1%\n", + "--- Adj/Tot = 2.1%\n", + "--- Update = 1.1094e-02 sec\n", + "--- Collate = 7.1552e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.341662e-08 < 6.250000e-03 [632]\n", - "--- Max DT=3.552124e-01 > 1.000000e-01 [67346]\n", + "--- Min DT=1.223056e-05 < 6.250000e-03 [848]\n", + "--- Max DT=4.985763e-01 > 1.000000e-01 [68647]\n", "----------------------------------------------------------------------\n", - " Component | low: 632/100000\n", - " Component | high: 67346/100000\n", + " Component | low: 848/100000\n", + " Component | high: 68647/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=50.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00132004 [ 0.76 %]\n", - "Velocity : 0.0040153 [ 2.32 %]\n", - "Force : 0.065022 [ 37.59 %]\n", - "Coefs : 0.0257694 [ 14.90 %]\n", - "Output : 0.00168361 [ 0.97 %]\n", - "Levels : 0.000259025 [ 0.15 %]\n", - "Report : 8.54e-07 [ 0.00 %]\n", - "Balance : 3.81e-07 [ 0.00 %]\n", - "Adjust : 0.074867 [ 43.28 %]\n", - "Total : 0.172994 [100.00 %]\n", + "Drift : 0.000526723 [ 0.36 %]\n", + "Velocity : 0.00172964 [ 1.20 %]\n", + "Force : 0.0532452 [ 36.81 %]\n", + "Coefs : 0.0234595 [ 16.22 %]\n", + "Output : 0.000674849 [ 0.47 %]\n", + "Levels : 0.000152161 [ 0.11 %]\n", + "Report : 6.97e-07 [ 0.00 %]\n", + "Balance : 5.42e-07 [ 0.00 %]\n", + "Adjust : 0.064815 [ 44.81 %]\n", + "Total : 0.144649 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6181 596 203 84 78 \n", - "1 : 6171 608 213 81 69 \n", - "2 : 6125 659 225 67 66 \n", - "3 : 6126 648 237 61 70 \n", - "4 : 6164 603 204 80 91 \n", - "5 : 6174 607 208 72 81 \n", - "6 : 6164 606 206 77 89 \n", - "7 : 6150 603 233 70 86 \n", - "8 : 6162 627 198 78 77 \n", - "9 : 6127 622 236 76 81 \n", - "10 : 6152 608 228 70 84 \n", - "11 : 6120 642 230 90 60 \n", - "12 : 6142 604 260 63 73 \n", - "13 : 6150 607 241 80 76 \n", + "0 : 5855 727 351 104 105 \n", + "1 : 5880 707 340 91 124 \n", + "2 : 5907 692 321 118 104 \n", + "3 : 5969 672 293 107 101 \n", + "4 : 5931 671 331 105 104 \n", + "5 : 5921 728 284 92 117 \n", + "6 : 5879 707 330 113 113 \n", + "7 : 5900 696 318 126 102 \n", + "8 : 5904 713 317 117 91 \n", + "9 : 5898 717 331 94 102 \n", + "10 : 5853 746 326 118 99 \n", + "11 : 5905 726 300 107 104 \n", + "12 : 5853 767 326 105 91 \n", + "13 : 5932 696 298 108 120 \n", "\n", - "T : 86108 8640 3122 1049 1081 [100000]\n", + "T : 82587 9965 4466 1505 1477 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.1487e-02 sec\n", - "--- Collate = 7.7116e-05 sec\n", + "--- Coef/DT = 4.6%\n", + "--- Adj/Tot = 2.2%\n", + "--- Update = 1.0794e-02 sec\n", + "--- Collate = 6.3584e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.179426e-05 < 6.250000e-03 [644]\n", - "--- Max DT=3.554391e-01 > 1.000000e-01 [67324]\n", + "--- Min DT=1.295384e-06 < 6.250000e-03 [848]\n", + "--- Max DT=5.040899e-01 > 1.000000e-01 [68665]\n", "----------------------------------------------------------------------\n", - " Component | low: 644/100000\n", - " Component | high: 67324/100000\n", + " Component | low: 848/100000\n", + " Component | high: 68665/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=50.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00107689 [ 0.64 %]\n", - "Velocity : 0.00339891 [ 2.02 %]\n", - "Force : 0.063819 [ 37.93 %]\n", - "Coefs : 0.0261937 [ 15.57 %]\n", - "Output : 0.00176992 [ 1.05 %]\n", - "Levels : 0.000332848 [ 0.20 %]\n", - "Report : 8.57e-07 [ 0.00 %]\n", - "Balance : 3.85e-07 [ 0.00 %]\n", - "Adjust : 0.0715966 [ 42.56 %]\n", - "Total : 0.168241 [100.00 %]\n", + "Drift : 0.000513239 [ 0.14 %]\n", + "Velocity : 0.00170459 [ 0.46 %]\n", + "Force : 0.13793 [ 37.60 %]\n", + "Coefs : 0.0916114 [ 24.98 %]\n", + "Output : 0.000593837 [ 0.16 %]\n", + "Levels : 0.000139435 [ 0.04 %]\n", + "Report : 1.144e-06 [ 0.00 %]\n", + "Balance : 2.76e-07 [ 0.00 %]\n", + "Adjust : 0.134271 [ 36.61 %]\n", + "Total : 0.366806 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6178 601 202 81 80 \n", - "1 : 6172 613 211 72 74 \n", - "2 : 6129 653 217 73 70 \n", - "3 : 6129 646 234 65 68 \n", - "4 : 6159 603 213 74 93 \n", - "5 : 6173 616 201 69 83 \n", - "6 : 6158 607 217 69 91 \n", - "7 : 6144 609 231 76 82 \n", - "8 : 6163 624 204 78 73 \n", - "9 : 6127 615 244 82 74 \n", - "10 : 6154 606 228 69 85 \n", - "11 : 6119 644 224 92 63 \n", - "12 : 6134 619 246 70 73 \n", - "13 : 6152 611 236 73 82 \n", + "0 : 5857 738 339 103 105 \n", + "1 : 5879 708 335 92 128 \n", + "2 : 5908 691 315 125 103 \n", + "3 : 5968 678 288 99 109 \n", + "4 : 5921 694 314 102 111 \n", + "5 : 5919 732 278 100 113 \n", + "6 : 5877 711 329 104 121 \n", + "7 : 5895 704 323 117 103 \n", + "8 : 5901 714 321 116 90 \n", + "9 : 5894 724 331 90 103 \n", + "10 : 5847 752 324 124 95 \n", + "11 : 5897 727 312 99 107 \n", + "12 : 5852 770 324 102 94 \n", + "13 : 5926 707 296 105 120 \n", "\n", - "T : 86091 8667 3108 1043 1091 [100000]\n", + "T : 82541 10050 4429 1478 1502 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.7%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.1534e-02 sec\n", - "--- Collate = 1.0586e-04 sec\n", + "--- Coef/DT = 4.1%\n", + "--- Adj/Tot = 2.3%\n", + "--- Update = 1.0479e-02 sec\n", + "--- Collate = 6.1383e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.225195e-07 < 6.250000e-03 [631]\n", - "--- Max DT=3.556558e-01 > 1.000000e-01 [67347]\n", + "--- Min DT=3.500838e-06 < 6.250000e-03 [843]\n", + "--- Max DT=5.096124e-01 > 1.000000e-01 [68653]\n", "----------------------------------------------------------------------\n", - " Component | low: 631/100000\n", - " Component | high: 67347/100000\n", + " Component | low: 843/100000\n", + " Component | high: 68653/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=50.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000662526 [ 0.42 %]\n", - "Velocity : 0.00210937 [ 1.33 %]\n", - "Force : 0.0595458 [ 37.62 %]\n", - "Coefs : 0.0240509 [ 15.19 %]\n", - "Output : 0.00120445 [ 0.76 %]\n", - "Levels : 0.000300983 [ 0.19 %]\n", - "Report : 9.32e-07 [ 0.00 %]\n", - "Balance : 5.29e-07 [ 0.00 %]\n", - "Adjust : 0.070368 [ 44.45 %]\n", - "Total : 0.158301 [100.00 %]\n", + "Drift : 0.000530451 [ 0.37 %]\n", + "Velocity : 0.00154404 [ 1.07 %]\n", + "Force : 0.0524837 [ 36.29 %]\n", + "Coefs : 0.0239603 [ 16.57 %]\n", + "Output : 0.000649773 [ 0.45 %]\n", + "Levels : 0.000238522 [ 0.16 %]\n", + "Report : 1.27e-06 [ 0.00 %]\n", + "Balance : 2.66e-07 [ 0.00 %]\n", + "Adjust : 0.0651962 [ 45.07 %]\n", + "Total : 0.144642 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6173 605 203 85 76 \n", - "1 : 6169 618 209 73 73 \n", - "2 : 6122 660 211 75 74 \n", - "3 : 6128 653 231 62 68 \n", - "4 : 6154 604 217 80 87 \n", - "5 : 6176 611 207 65 83 \n", - "6 : 6153 612 210 76 91 \n", - "7 : 6139 609 233 82 79 \n", - "8 : 6157 622 213 82 68 \n", - "9 : 6126 620 236 84 76 \n", - "10 : 6152 607 219 83 81 \n", - "11 : 6110 651 231 86 64 \n", - "12 : 6132 618 247 68 77 \n", - "13 : 6144 625 225 85 75 \n", + "0 : 5854 742 338 95 113 \n", + "1 : 5872 719 325 100 126 \n", + "2 : 5914 683 327 117 101 \n", + "3 : 5967 670 292 110 103 \n", + "4 : 5926 685 310 112 109 \n", + "5 : 5923 739 268 108 104 \n", + "6 : 5876 714 326 104 122 \n", + "7 : 5891 713 316 115 107 \n", + "8 : 5905 716 310 118 93 \n", + "9 : 5897 722 329 87 107 \n", + "10 : 5846 748 326 132 90 \n", + "11 : 5892 734 313 96 107 \n", + "12 : 5851 775 323 98 95 \n", + "13 : 5916 716 295 105 122 \n", "\n", - "T : 86035 8715 3092 1086 1072 [100000]\n", + "T : 82530 10076 4398 1497 1499 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.7%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.1054e-02 sec\n", - "--- Collate = 7.7380e-05 sec\n", + "--- Coef/DT = 4.1%\n", + "--- Adj/Tot = 2.1%\n", + "--- Update = 1.0609e-02 sec\n", + "--- Collate = 6.3994e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.826607e-06 < 6.250000e-03 [640]\n", - "--- Max DT=3.558713e-01 > 1.000000e-01 [67328]\n", + "--- Min DT=1.521963e-05 < 6.250000e-03 [863]\n", + "--- Max DT=5.151439e-01 > 1.000000e-01 [68664]\n", "----------------------------------------------------------------------\n", - " Component | low: 640/100000\n", - " Component | high: 67328/100000\n", + " Component | low: 863/100000\n", + " Component | high: 68664/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=50.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000709482 [ 0.46 %]\n", - "Velocity : 0.00272525 [ 1.75 %]\n", - "Force : 0.0575424 [ 37.05 %]\n", - "Coefs : 0.0236267 [ 15.21 %]\n", - "Output : 0.000937293 [ 0.60 %]\n", - "Levels : 0.000218441 [ 0.14 %]\n", - "Report : 9.76e-07 [ 0.00 %]\n", - "Balance : 4.87e-07 [ 0.00 %]\n", - "Adjust : 0.0694859 [ 44.74 %]\n", - "Total : 0.155305 [100.00 %]\n", + "Drift : 0.000556775 [ 0.38 %]\n", + "Velocity : 0.00170309 [ 1.17 %]\n", + "Force : 0.0526007 [ 36.13 %]\n", + "Coefs : 0.0236825 [ 16.27 %]\n", + "Output : 0.000698546 [ 0.48 %]\n", + "Levels : 0.000169898 [ 0.12 %]\n", + "Report : 6.37e-07 [ 0.00 %]\n", + "Balance : 5.31e-07 [ 0.00 %]\n", + "Adjust : 0.0661416 [ 45.43 %]\n", + "Total : 0.145598 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6175 603 204 83 77 \n", - "1 : 6172 608 214 74 74 \n", - "2 : 6122 655 222 68 75 \n", - "3 : 6122 655 234 66 65 \n", - "4 : 6161 599 210 89 83 \n", - "5 : 6173 613 205 68 83 \n", - "6 : 6144 624 203 85 86 \n", - "7 : 6137 605 236 78 86 \n", - "8 : 6154 623 215 80 70 \n", - "9 : 6123 628 237 84 70 \n", - "10 : 6155 608 212 89 78 \n", - "11 : 6110 650 232 83 67 \n", - "12 : 6139 611 241 77 74 \n", - "13 : 6148 615 236 79 76 \n", + "0 : 5858 739 339 93 113 \n", + "1 : 5871 716 326 105 124 \n", + "2 : 5915 677 337 114 99 \n", + "3 : 5968 666 290 117 101 \n", + "4 : 5925 688 304 112 113 \n", + "5 : 5927 732 287 95 101 \n", + "6 : 5878 717 323 101 123 \n", + "7 : 5896 706 317 112 111 \n", + "8 : 5909 717 310 110 96 \n", + "9 : 5897 728 328 87 102 \n", + "10 : 5847 742 336 121 96 \n", + "11 : 5892 743 306 98 103 \n", + "12 : 5854 776 317 100 95 \n", + "13 : 5918 728 283 107 118 \n", "\n", - "T : 86035 8697 3101 1103 1064 [100000]\n", + "T : 82555 10075 4403 1472 1495 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.9%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.1538e-02 sec\n", - "--- Collate = 1.9218e-04 sec\n", + "--- Coef/DT = 3.9%\n", + "--- Adj/Tot = 2.1%\n", + "--- Update = 1.0301e-02 sec\n", + "--- Collate = 7.8339e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.434617e-06 < 6.250000e-03 [651]\n", - "--- Max DT=3.560851e-01 > 1.000000e-01 [67344]\n", + "--- Min DT=3.874522e-06 < 6.250000e-03 [861]\n", + "--- Max DT=5.206842e-01 > 1.000000e-01 [68708]\n", "----------------------------------------------------------------------\n", - " Component | low: 651/100000\n", - " Component | high: 67344/100000\n", + " Component | low: 861/100000\n", + " Component | high: 68708/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=50.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000987428 [ 0.62 %]\n", - "Velocity : 0.00345 [ 2.16 %]\n", - "Force : 0.0596316 [ 37.36 %]\n", - "Coefs : 0.02404 [ 15.06 %]\n", - "Output : 0.000951166 [ 0.60 %]\n", - "Levels : 0.000209739 [ 0.13 %]\n", - "Report : 7.24e-07 [ 0.00 %]\n", - "Balance : 3.74e-07 [ 0.00 %]\n", - "Adjust : 0.0702943 [ 44.04 %]\n", - "Total : 0.159626 [100.00 %]\n", + "Drift : 0.000512578 [ 0.35 %]\n", + "Velocity : 0.00176495 [ 1.22 %]\n", + "Force : 0.0525596 [ 36.34 %]\n", + "Coefs : 0.0230897 [ 15.96 %]\n", + "Output : 0.000840823 [ 0.58 %]\n", + "Levels : 0.000222448 [ 0.15 %]\n", + "Report : 1.262e-06 [ 0.00 %]\n", + "Balance : 4.18e-07 [ 0.00 %]\n", + "Adjust : 0.0656054 [ 45.36 %]\n", + "Total : 0.144637 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6170 608 210 77 77 \n", - "1 : 6174 605 214 68 81 \n", - "2 : 6126 657 211 76 72 \n", - "3 : 6122 658 229 71 62 \n", - "4 : 6155 603 212 86 86 \n", - "5 : 6168 609 217 67 81 \n", - "6 : 6140 626 200 88 88 \n", - "7 : 6134 605 238 78 87 \n", - "8 : 6151 624 219 79 69 \n", - "9 : 6121 633 237 80 71 \n", - "10 : 6151 614 212 88 77 \n", - "11 : 6109 647 235 84 67 \n", - "12 : 6141 606 240 77 78 \n", - "13 : 6145 623 229 80 77 \n", + "0 : 5863 739 328 99 113 \n", + "1 : 5875 719 321 104 123 \n", + "2 : 5908 685 335 119 95 \n", + "3 : 5971 664 293 109 105 \n", + "4 : 5919 691 307 106 119 \n", + "5 : 5916 737 292 91 106 \n", + "6 : 5885 713 317 105 122 \n", + "7 : 5895 707 318 109 113 \n", + "8 : 5907 718 309 117 91 \n", + "9 : 5893 733 323 94 99 \n", + "10 : 5843 748 341 109 101 \n", + "11 : 5891 747 298 102 104 \n", + "12 : 5853 772 313 115 89 \n", + "13 : 5920 725 285 110 114 \n", "\n", - "T : 86007 8718 3103 1099 1073 [100000]\n", + "T : 82539 10098 4380 1489 1494 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.6%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.3067e-02 sec\n", - "--- Collate = 8.1635e-05 sec\n", + "--- Coef/DT = 4.6%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 1.0233e-02 sec\n", + "--- Collate = 7.2217e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.202544e-06 < 6.250000e-03 [639]\n", - "--- Max DT=3.562847e-01 > 1.000000e-01 [67319]\n", + "--- Min DT=8.520632e-06 < 6.250000e-03 [855]\n", + "--- Max DT=5.262333e-01 > 1.000000e-01 [68703]\n", "----------------------------------------------------------------------\n", - " Component | low: 639/100000\n", - " Component | high: 67319/100000\n", + " Component | low: 855/100000\n", + " Component | high: 68703/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=51] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000935492 [ 0.53 %]\n", - "Velocity : 0.00322411 [ 1.83 %]\n", - "Force : 0.0625844 [ 35.49 %]\n", - "Coefs : 0.0252613 [ 14.32 %]\n", - "Output : 0.00820261 [ 4.65 %]\n", - "Levels : 0.00022916 [ 0.13 %]\n", - "Report : 1.517e-06 [ 0.00 %]\n", - "Balance : 9.1e-07 [ 0.00 %]\n", - "Adjust : 0.0758675 [ 43.02 %]\n", - "Total : 0.176366 [100.00 %]\n", + "Drift : 0.00064334 [ 0.42 %]\n", + "Velocity : 0.0026079 [ 1.71 %]\n", + "Force : 0.0517481 [ 33.88 %]\n", + "Coefs : 0.022104 [ 14.47 %]\n", + "Output : 0.0110664 [ 7.25 %]\n", + "Levels : 0.000248334 [ 0.16 %]\n", + "Report : 1.812e-06 [ 0.00 %]\n", + "Balance : 9.24e-07 [ 0.00 %]\n", + "Adjust : 0.0642558 [ 42.07 %]\n", + "Total : 0.152731 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6171 607 204 88 72 \n", - "1 : 6172 605 215 71 79 \n", - "2 : 6129 655 210 68 80 \n", - "3 : 6116 674 218 68 66 \n", - "4 : 6145 604 226 84 83 \n", - "5 : 6165 613 220 62 82 \n", - "6 : 6136 632 199 88 87 \n", - "7 : 6138 598 242 81 83 \n", - "8 : 6141 635 221 72 73 \n", - "9 : 6119 633 236 80 74 \n", - "10 : 6144 617 205 98 78 \n", - "11 : 6107 648 237 80 70 \n", - "12 : 6132 613 246 68 83 \n", - "13 : 6142 631 216 89 76 \n", + "0 : 5864 746 318 98 116 \n", + "1 : 5874 716 326 103 123 \n", + "2 : 5912 684 334 110 102 \n", + "3 : 5974 665 293 107 103 \n", + "4 : 5914 694 311 100 123 \n", + "5 : 5914 740 284 99 105 \n", + "6 : 5886 720 310 107 119 \n", + "7 : 5894 712 314 109 113 \n", + "8 : 5906 722 312 108 94 \n", + "9 : 5886 747 322 95 92 \n", + "10 : 5840 751 348 103 100 \n", + "11 : 5888 747 298 99 110 \n", + "12 : 5854 773 312 111 92 \n", + "13 : 5918 724 301 101 110 \n", "\n", - "T : 85957 8765 3095 1097 1086 [100000]\n", + "T : 82524 10141 4383 1450 1502 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.9%\n", - "--- Adj/Tot = 1.1%\n", - "--- Update = 1.2378e-02 sec\n", - "--- Collate = 1.5446e-04 sec\n", + "--- Coef/DT = 4.7%\n", + "--- Adj/Tot = 2.1%\n", + "--- Update = 1.0032e-02 sec\n", + "--- Collate = 8.8432e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.152782e-07 < 6.250000e-03 [636]\n", - "--- Max DT=3.564828e-01 > 1.000000e-01 [67307]\n", + "--- Min DT=1.335946e-05 < 6.250000e-03 [836]\n", + "--- Max DT=5.317910e-01 > 1.000000e-01 [68716]\n", "----------------------------------------------------------------------\n", - " Component | low: 636/100000\n", - " Component | high: 67307/100000\n", + " Component | low: 836/100000\n", + " Component | high: 68716/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=51.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00105763 [ 0.60 %]\n", - "Velocity : 0.00351774 [ 1.99 %]\n", - "Force : 0.0667205 [ 37.72 %]\n", - "Coefs : 0.0282169 [ 15.95 %]\n", - "Output : 0.00096989 [ 0.55 %]\n", - "Levels : 0.000295717 [ 0.17 %]\n", - "Report : 1.136e-06 [ 0.00 %]\n", - "Balance : 4.75e-07 [ 0.00 %]\n", - "Adjust : 0.0760663 [ 43.00 %]\n", - "Total : 0.176903 [100.00 %]\n", + "Drift : 0.000778709 [ 0.54 %]\n", + "Velocity : 0.00301299 [ 2.09 %]\n", + "Force : 0.0521971 [ 36.12 %]\n", + "Coefs : 0.0223989 [ 15.50 %]\n", + "Output : 0.00115095 [ 0.80 %]\n", + "Levels : 0.000268698 [ 0.19 %]\n", + "Report : 7.05e-07 [ 0.00 %]\n", + "Balance : 4.24e-07 [ 0.00 %]\n", + "Adjust : 0.0646276 [ 44.73 %]\n", + "Total : 0.144495 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6169 610 206 86 71 \n", - "1 : 6171 598 222 79 72 \n", - "2 : 6130 652 210 66 84 \n", - "3 : 6115 671 225 65 66 \n", - "4 : 6149 605 217 81 90 \n", - "5 : 6172 608 212 69 81 \n", - "6 : 6131 628 211 86 86 \n", - "7 : 6133 607 225 94 83 \n", - "8 : 6144 632 223 68 75 \n", - "9 : 6111 649 228 78 76 \n", - "10 : 6144 615 208 93 82 \n", - "11 : 6102 657 236 78 69 \n", - "12 : 6133 619 238 70 82 \n", - "13 : 6148 622 218 90 76 \n", + "0 : 5861 763 298 109 111 \n", + "1 : 5876 714 323 99 130 \n", + "2 : 5920 677 333 110 102 \n", + "3 : 5976 659 295 111 101 \n", + "4 : 5915 696 307 104 120 \n", + "5 : 5917 736 285 103 101 \n", + "6 : 5878 721 310 105 128 \n", + "7 : 5897 712 319 103 111 \n", + "8 : 5905 733 296 118 90 \n", + "9 : 5887 751 317 88 99 \n", + "10 : 5842 755 338 105 102 \n", + "11 : 5882 757 297 96 110 \n", + "12 : 5858 765 317 116 86 \n", + "13 : 5919 728 303 95 109 \n", "\n", - "T : 85952 8773 3079 1103 1093 [100000]\n", + "T : 82533 10167 4338 1462 1500 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.2793e-02 sec\n", - "--- Collate = 2.3589e-04 sec\n", + "--- Coef/DT = 3.7%\n", + "--- Adj/Tot = 2.1%\n", + "--- Update = 1.0226e-02 sec\n", + "--- Collate = 8.2117e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.214689e-08 < 6.250000e-03 [638]\n", - "--- Max DT=3.566706e-01 > 1.000000e-01 [67305]\n", + "--- Min DT=8.407908e-06 < 6.250000e-03 [870]\n", + "--- Max DT=5.373573e-01 > 1.000000e-01 [68757]\n", "----------------------------------------------------------------------\n", - " Component | low: 638/100000\n", - " Component | high: 67305/100000\n", + " Component | low: 870/100000\n", + " Component | high: 68757/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=51.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000994982 [ 0.57 %]\n", - "Velocity : 0.00334832 [ 1.93 %]\n", - "Force : 0.0636244 [ 36.65 %]\n", - "Coefs : 0.0273899 [ 15.78 %]\n", - "Output : 0.000867544 [ 0.50 %]\n", - "Levels : 0.000234894 [ 0.14 %]\n", - "Report : 1.235e-06 [ 0.00 %]\n", - "Balance : 2.81e-07 [ 0.00 %]\n", - "Adjust : 0.077073 [ 44.40 %]\n", - "Total : 0.173592 [100.00 %]\n", + "Drift : 0.00049852 [ 0.35 %]\n", + "Velocity : 0.00219795 [ 1.54 %]\n", + "Force : 0.0524881 [ 36.73 %]\n", + "Coefs : 0.0215578 [ 15.09 %]\n", + "Output : 0.00115673 [ 0.81 %]\n", + "Levels : 0.000215487 [ 0.15 %]\n", + "Report : 1.171e-06 [ 0.00 %]\n", + "Balance : 3.74e-07 [ 0.00 %]\n", + "Adjust : 0.0647159 [ 45.29 %]\n", + "Total : 0.142886 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6169 605 211 86 71 \n", - "1 : 6170 597 225 72 78 \n", - "2 : 6127 650 214 72 79 \n", - "3 : 6110 671 227 67 67 \n", - "4 : 6146 613 212 88 83 \n", - "5 : 6167 614 211 81 69 \n", - "6 : 6127 627 221 81 86 \n", - "7 : 6135 605 224 94 84 \n", - "8 : 6145 624 235 63 75 \n", - "9 : 6106 651 228 80 77 \n", - "10 : 6139 616 217 87 83 \n", - "11 : 6104 650 247 66 75 \n", - "12 : 6134 616 238 71 83 \n", - "13 : 6148 623 223 84 76 \n", + "0 : 5865 765 292 108 112 \n", + "1 : 5878 716 321 96 131 \n", + "2 : 5927 681 316 115 103 \n", + "3 : 5978 666 284 116 98 \n", + "4 : 5916 700 309 102 115 \n", + "5 : 5916 743 279 104 100 \n", + "6 : 5878 725 306 105 128 \n", + "7 : 5899 717 298 120 108 \n", + "8 : 5903 745 283 112 99 \n", + "9 : 5884 755 310 100 93 \n", + "10 : 5849 752 336 108 97 \n", + "11 : 5882 757 296 107 100 \n", + "12 : 5855 774 311 109 93 \n", + "13 : 5921 730 301 97 105 \n", "\n", - "T : 85927 8762 3133 1092 1086 [100000]\n", + "T : 82551 10226 4242 1499 1482 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.6%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.1495e-02 sec\n", - "--- Collate = 7.2329e-05 sec\n", + "--- Coef/DT = 4.1%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 1.0365e-02 sec\n", + "--- Collate = 9.0229e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.833621e-08 < 6.250000e-03 [639]\n", - "--- Max DT=3.568546e-01 > 1.000000e-01 [67303]\n", + "--- Min DT=1.022289e-06 < 6.250000e-03 [889]\n", + "--- Max DT=5.429322e-01 > 1.000000e-01 [68800]\n", "----------------------------------------------------------------------\n", - " Component | low: 639/100000\n", - " Component | high: 67303/100000\n", + " Component | low: 889/100000\n", + " Component | high: 68800/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=51.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00102868 [ 0.62 %]\n", - "Velocity : 0.00386256 [ 2.32 %]\n", - "Force : 0.0592418 [ 35.65 %]\n", - "Coefs : 0.0258587 [ 15.56 %]\n", - "Output : 0.0017719 [ 1.07 %]\n", - "Levels : 0.000282764 [ 0.17 %]\n", - "Report : 8.99e-07 [ 0.00 %]\n", - "Balance : 3.17e-07 [ 0.00 %]\n", - "Adjust : 0.0740912 [ 44.58 %]\n", - "Total : 0.166194 [100.00 %]\n", + "Drift : 0.000614954 [ 0.43 %]\n", + "Velocity : 0.00257166 [ 1.79 %]\n", + "Force : 0.0519406 [ 36.22 %]\n", + "Coefs : 0.0221458 [ 15.45 %]\n", + "Output : 0.0011955 [ 0.83 %]\n", + "Levels : 0.000239687 [ 0.17 %]\n", + "Report : 1.318e-06 [ 0.00 %]\n", + "Balance : 5.21e-07 [ 0.00 %]\n", + "Adjust : 0.0646159 [ 45.07 %]\n", + "Total : 0.143384 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6170 598 218 88 68 \n", - "1 : 6173 588 229 74 78 \n", - "2 : 6122 655 219 67 79 \n", - "3 : 6111 671 226 65 69 \n", - "4 : 6139 618 219 84 82 \n", - "5 : 6162 617 216 74 73 \n", - "6 : 6126 622 232 80 82 \n", - "7 : 6132 608 226 91 85 \n", - "8 : 6143 631 232 69 67 \n", - "9 : 6111 643 243 66 79 \n", - "10 : 6137 616 218 92 79 \n", - "11 : 6104 652 242 67 77 \n", - "12 : 6132 623 237 67 83 \n", - "13 : 6152 620 217 83 82 \n", + "0 : 5865 770 289 115 103 \n", + "1 : 5879 731 305 104 123 \n", + "2 : 5929 677 322 103 111 \n", + "3 : 5968 679 281 110 104 \n", + "4 : 5908 704 305 105 120 \n", + "5 : 5915 743 283 99 102 \n", + "6 : 5875 727 314 101 125 \n", + "7 : 5898 730 285 115 114 \n", + "8 : 5899 744 285 110 104 \n", + "9 : 5884 758 302 103 95 \n", + "10 : 5846 764 330 109 93 \n", + "11 : 5872 762 300 112 96 \n", + "12 : 5851 772 321 103 95 \n", + "13 : 5925 723 312 93 101 \n", "\n", - "T : 85914 8762 3174 1067 1083 [100000]\n", + "T : 82514 10284 4234 1482 1486 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0874e-02 sec\n", - "--- Collate = 9.1403e-05 sec\n", + "--- Coef/DT = 4.1%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 1.0329e-02 sec\n", + "--- Collate = 1.0096e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.301153e-06 < 6.250000e-03 [661]\n", - "--- Max DT=3.570293e-01 > 1.000000e-01 [67300]\n", + "--- Min DT=1.060278e-06 < 6.250000e-03 [869]\n", + "--- Max DT=5.485156e-01 > 1.000000e-01 [68798]\n", "----------------------------------------------------------------------\n", - " Component | low: 661/100000\n", - " Component | high: 67300/100000\n", + " Component | low: 869/100000\n", + " Component | high: 68798/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=51.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00164595 [ 1.04 %]\n", - "Velocity : 0.00360658 [ 2.29 %]\n", - "Force : 0.0591216 [ 37.52 %]\n", - "Coefs : 0.022543 [ 14.31 %]\n", - "Output : 0.00143619 [ 0.91 %]\n", - "Levels : 0.000258271 [ 0.16 %]\n", - "Report : 5.53e-07 [ 0.00 %]\n", - "Balance : 3.23e-07 [ 0.00 %]\n", - "Adjust : 0.0689104 [ 43.73 %]\n", - "Total : 0.157575 [100.00 %]\n", + "Drift : 0.000711311 [ 0.50 %]\n", + "Velocity : 0.00240372 [ 1.67 %]\n", + "Force : 0.0523881 [ 36.47 %]\n", + "Coefs : 0.022383 [ 15.58 %]\n", + "Output : 0.0011016 [ 0.77 %]\n", + "Levels : 0.000243837 [ 0.17 %]\n", + "Report : 1.144e-06 [ 0.00 %]\n", + "Balance : 4.42e-07 [ 0.00 %]\n", + "Adjust : 0.0643448 [ 44.80 %]\n", + "Total : 0.143634 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6169 602 213 81 77 \n", - "1 : 6169 590 224 84 75 \n", - "2 : 6120 656 216 67 83 \n", - "3 : 6107 666 235 66 68 \n", - "4 : 6134 623 224 84 77 \n", - "5 : 6162 614 213 84 69 \n", - "6 : 6133 611 241 73 84 \n", - "7 : 6130 608 231 89 84 \n", - "8 : 6136 642 228 75 61 \n", - "9 : 6106 654 236 70 76 \n", - "10 : 6138 611 219 93 81 \n", - "11 : 6105 650 237 77 73 \n", - "12 : 6137 623 225 72 85 \n", - "13 : 6148 624 220 81 81 \n", + "0 : 5863 774 286 116 103 \n", + "1 : 5877 733 306 101 125 \n", + "2 : 5929 681 313 108 111 \n", + "3 : 5964 687 285 100 106 \n", + "4 : 5912 703 305 105 117 \n", + "5 : 5912 752 281 94 103 \n", + "6 : 5870 736 307 111 118 \n", + "7 : 5891 722 301 109 119 \n", + "8 : 5902 747 282 105 106 \n", + "9 : 5883 762 297 102 98 \n", + "10 : 5848 766 322 113 93 \n", + "11 : 5865 771 304 103 99 \n", + "12 : 5847 783 316 99 97 \n", + "13 : 5925 724 304 102 99 \n", "\n", - "T : 85894 8774 3162 1096 1074 [100000]\n", + "T : 82488 10341 4209 1468 1494 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.1371e-02 sec\n", - "--- Collate = 7.8378e-05 sec\n", + "--- Coef/DT = 4.4%\n", + "--- Adj/Tot = 2.1%\n", + "--- Update = 1.0350e-02 sec\n", + "--- Collate = 8.7609e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.868021e-05 < 6.250000e-03 [670]\n", - "--- Max DT=3.572053e-01 > 1.000000e-01 [67294]\n", + "--- Min DT=4.064301e-06 < 6.250000e-03 [867]\n", + "--- Max DT=5.541072e-01 > 1.000000e-01 [68828]\n", "----------------------------------------------------------------------\n", - " Component | low: 670/100000\n", - " Component | high: 67294/100000\n", + " Component | low: 867/100000\n", + " Component | high: 68828/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=51.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00130612 [ 0.81 %]\n", - "Velocity : 0.00409274 [ 2.52 %]\n", - "Force : 0.0604819 [ 37.31 %]\n", - "Coefs : 0.0225114 [ 13.89 %]\n", - "Output : 0.00153776 [ 0.95 %]\n", - "Levels : 0.000242939 [ 0.15 %]\n", - "Report : 9.89e-07 [ 0.00 %]\n", - "Balance : 3.33e-07 [ 0.00 %]\n", - "Adjust : 0.0718825 [ 44.34 %]\n", - "Total : 0.162112 [100.00 %]\n", + "Drift : 0.00068786 [ 0.47 %]\n", + "Velocity : 0.00306023 [ 2.11 %]\n", + "Force : 0.0520723 [ 35.87 %]\n", + "Coefs : 0.0220544 [ 15.19 %]\n", + "Output : 0.0012804 [ 0.88 %]\n", + "Levels : 0.000257728 [ 0.18 %]\n", + "Report : 1.165e-06 [ 0.00 %]\n", + "Balance : 5.93e-07 [ 0.00 %]\n", + "Adjust : 0.0657055 [ 45.26 %]\n", + "Total : 0.145181 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6163 611 206 86 76 \n", - "1 : 6164 593 235 79 71 \n", - "2 : 6124 655 211 74 78 \n", - "3 : 6109 660 243 60 70 \n", - "4 : 6124 633 224 80 81 \n", - "5 : 6161 619 208 90 64 \n", - "6 : 6129 621 234 74 84 \n", - "7 : 6129 608 232 88 85 \n", - "8 : 6138 643 225 68 68 \n", - "9 : 6099 661 236 70 76 \n", - "10 : 6134 618 225 84 81 \n", - "11 : 6105 644 247 70 76 \n", - "12 : 6139 619 225 75 84 \n", - "13 : 6150 619 224 82 79 \n", + "0 : 5863 767 291 119 102 \n", + "1 : 5879 730 305 101 127 \n", + "2 : 5928 681 314 109 110 \n", + "3 : 5957 694 282 98 111 \n", + "4 : 5910 709 299 114 110 \n", + "5 : 5922 745 279 89 107 \n", + "6 : 5872 737 298 120 115 \n", + "7 : 5893 731 285 118 115 \n", + "8 : 5905 744 283 102 108 \n", + "9 : 5883 772 288 99 100 \n", + "10 : 5854 763 319 103 103 \n", + "11 : 5863 765 311 103 100 \n", + "12 : 5852 780 317 90 103 \n", + "13 : 5929 725 299 107 94 \n", "\n", - "T : 85868 8804 3175 1080 1073 [100000]\n", + "T : 82510 10343 4170 1472 1505 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.2%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.2687e-02 sec\n", - "--- Collate = 9.2226e-05 sec\n", + "--- Coef/DT = 3.8%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 1.0346e-02 sec\n", + "--- Collate = 7.6115e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.422438e-06 < 6.250000e-03 [682]\n", - "--- Max DT=3.573785e-01 > 1.000000e-01 [67284]\n", + "--- Min DT=5.782723e-06 < 6.250000e-03 [882]\n", + "--- Max DT=5.597073e-01 > 1.000000e-01 [68840]\n", "----------------------------------------------------------------------\n", - " Component | low: 682/100000\n", - " Component | high: 67284/100000\n", + " Component | low: 882/100000\n", + " Component | high: 68840/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=51.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000868243 [ 0.49 %]\n", - "Velocity : 0.0037908 [ 2.13 %]\n", - "Force : 0.0623576 [ 34.96 %]\n", - "Coefs : 0.0238413 [ 13.37 %]\n", - "Output : 0.00158458 [ 0.89 %]\n", - "Levels : 0.000328777 [ 0.18 %]\n", - "Report : 8.58e-07 [ 0.00 %]\n", - "Balance : 3.4e-07 [ 0.00 %]\n", - "Adjust : 0.0855355 [ 47.96 %]\n", - "Total : 0.178366 [100.00 %]\n", + "Drift : 0.000702995 [ 0.49 %]\n", + "Velocity : 0.00261114 [ 1.80 %]\n", + "Force : 0.0527116 [ 36.41 %]\n", + "Coefs : 0.0224864 [ 15.53 %]\n", + "Output : 0.00115411 [ 0.80 %]\n", + "Levels : 0.000257455 [ 0.18 %]\n", + "Report : 1.265e-06 [ 0.00 %]\n", + "Balance : 4.5e-07 [ 0.00 %]\n", + "Adjust : 0.0647772 [ 44.75 %]\n", + "Total : 0.144756 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6162 608 205 82 85 \n", - "1 : 6159 592 235 84 72 \n", - "2 : 6128 656 209 74 75 \n", - "3 : 6107 661 241 64 69 \n", - "4 : 6122 632 230 81 77 \n", - "5 : 6161 614 215 79 73 \n", - "6 : 6129 621 235 79 78 \n", - "7 : 6123 610 243 79 87 \n", - "8 : 6137 650 220 61 74 \n", - "9 : 6091 670 242 68 71 \n", - "10 : 6134 616 231 77 84 \n", - "11 : 6106 642 242 76 76 \n", - "12 : 6137 628 219 75 83 \n", - "13 : 6148 625 214 88 79 \n", + "0 : 5863 766 288 122 103 \n", + "1 : 5875 739 304 94 130 \n", + "2 : 5940 679 302 108 113 \n", + "3 : 5952 715 267 90 118 \n", + "4 : 5917 717 283 112 113 \n", + "5 : 5926 736 292 85 103 \n", + "6 : 5872 738 300 121 111 \n", + "7 : 5888 730 285 130 109 \n", + "8 : 5905 747 281 95 114 \n", + "9 : 5891 760 289 100 102 \n", + "10 : 5855 761 319 107 100 \n", + "11 : 5879 752 309 106 96 \n", + "12 : 5852 777 318 86 109 \n", + "13 : 5929 731 292 101 101 \n", "\n", - "T : 85844 8825 3181 1067 1083 [100000]\n", + "T : 82544 10348 4129 1457 1522 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", "--- Coef/DT = 4.1%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.2223e-02 sec\n", - "--- Collate = 6.5601e-05 sec\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 1.0384e-02 sec\n", + "--- Collate = 8.6437e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.739197e-06 < 6.250000e-03 [673]\n", - "--- Max DT=3.575468e-01 > 1.000000e-01 [67285]\n", + "--- Min DT=3.227756e-07 < 6.250000e-03 [871]\n", + "--- Max DT=5.653156e-01 > 1.000000e-01 [68876]\n", "----------------------------------------------------------------------\n", - " Component | low: 673/100000\n", - " Component | high: 67285/100000\n", + " Component | low: 871/100000\n", + " Component | high: 68876/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=51.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00135866 [ 0.71 %]\n", - "Velocity : 0.00383594 [ 2.01 %]\n", - "Force : 0.0713004 [ 37.41 %]\n", - "Coefs : 0.0261553 [ 13.72 %]\n", - "Output : 0.00159707 [ 0.84 %]\n", - "Levels : 0.000220969 [ 0.12 %]\n", - "Report : 5.61e-07 [ 0.00 %]\n", - "Balance : 2.62e-07 [ 0.00 %]\n", - "Adjust : 0.0860647 [ 45.16 %]\n", - "Total : 0.190589 [100.00 %]\n", + "Drift : 0.000610227 [ 0.42 %]\n", + "Velocity : 0.00260328 [ 1.80 %]\n", + "Force : 0.0519137 [ 35.99 %]\n", + "Coefs : 0.0222759 [ 15.44 %]\n", + "Output : 0.00124671 [ 0.86 %]\n", + "Levels : 0.000268035 [ 0.19 %]\n", + "Report : 1.251e-06 [ 0.00 %]\n", + "Balance : 5.81e-07 [ 0.00 %]\n", + "Adjust : 0.065282 [ 45.25 %]\n", + "Total : 0.144256 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6163 600 213 87 79 \n", - "1 : 6159 594 239 76 74 \n", - "2 : 6118 664 216 64 80 \n", - "3 : 6109 664 232 64 73 \n", - "4 : 6116 633 235 83 75 \n", - "5 : 6159 620 207 84 72 \n", - "6 : 6119 633 241 71 78 \n", - "7 : 6118 618 246 74 86 \n", - "8 : 6139 653 214 62 74 \n", - "9 : 6092 669 241 69 71 \n", - "10 : 6128 622 230 82 80 \n", - "11 : 6104 647 239 73 79 \n", - "12 : 6130 633 228 65 86 \n", - "13 : 6144 629 226 69 86 \n", + "0 : 5859 775 283 107 118 \n", + "1 : 5870 741 304 98 129 \n", + "2 : 5932 688 302 103 117 \n", + "3 : 5956 710 266 95 115 \n", + "4 : 5919 712 280 115 116 \n", + "5 : 5927 737 290 89 99 \n", + "6 : 5866 747 298 126 105 \n", + "7 : 5890 729 286 126 111 \n", + "8 : 5902 751 274 105 110 \n", + "9 : 5896 750 293 100 103 \n", + "10 : 5853 759 325 104 101 \n", + "11 : 5876 761 300 112 93 \n", + "12 : 5853 769 327 81 112 \n", + "13 : 5924 731 300 107 92 \n", "\n", - "T : 85798 8879 3207 1023 1093 [100000]\n", + "T : 82523 10360 4128 1468 1521 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.3%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.0836e-02 sec\n", - "--- Collate = 7.2868e-05 sec\n", + "--- Coef/DT = 3.5%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 1.0513e-02 sec\n", + "--- Collate = 6.5672e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.319357e-06 < 6.250000e-03 [666]\n", - "--- Max DT=3.577156e-01 > 1.000000e-01 [67269]\n", + "--- Min DT=7.389839e-06 < 6.250000e-03 [873]\n", + "--- Max DT=5.709320e-01 > 1.000000e-01 [68870]\n", "----------------------------------------------------------------------\n", - " Component | low: 666/100000\n", - " Component | high: 67269/100000\n", + " Component | low: 873/100000\n", + " Component | high: 68870/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=51.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00110955 [ 0.66 %]\n", - "Velocity : 0.00408821 [ 2.42 %]\n", - "Force : 0.0608141 [ 36.04 %]\n", - "Coefs : 0.0237962 [ 14.10 %]\n", - "Output : 0.00156148 [ 0.93 %]\n", - "Levels : 0.00021122 [ 0.13 %]\n", - "Report : 5.73e-07 [ 0.00 %]\n", - "Balance : 3.65e-07 [ 0.00 %]\n", - "Adjust : 0.0771204 [ 45.70 %]\n", - "Total : 0.168758 [100.00 %]\n", + "Drift : 0.00075323 [ 0.53 %]\n", + "Velocity : 0.00267504 [ 1.88 %]\n", + "Force : 0.0513503 [ 36.07 %]\n", + "Coefs : 0.0221039 [ 15.53 %]\n", + "Output : 0.00111155 [ 0.78 %]\n", + "Levels : 0.00024178 [ 0.17 %]\n", + "Report : 1.468e-06 [ 0.00 %]\n", + "Balance : 5.51e-07 [ 0.00 %]\n", + "Adjust : 0.0640739 [ 45.01 %]\n", + "Total : 0.142361 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6163 602 209 91 77 \n", - "1 : 6154 598 233 82 75 \n", - "2 : 6111 670 211 67 83 \n", - "3 : 6106 668 230 68 70 \n", - "4 : 6111 638 234 82 77 \n", - "5 : 6160 619 212 69 82 \n", - "6 : 6123 618 252 71 78 \n", - "7 : 6119 621 239 74 89 \n", - "8 : 6144 643 220 60 75 \n", - "9 : 6090 667 238 79 68 \n", - "10 : 6127 624 229 76 86 \n", - "11 : 6103 648 237 71 83 \n", - "12 : 6128 644 220 72 78 \n", - "13 : 6148 620 232 69 85 \n", + "0 : 5858 781 281 96 126 \n", + "1 : 5876 736 301 107 122 \n", + "2 : 5931 698 296 102 115 \n", + "3 : 5963 704 271 90 114 \n", + "4 : 5916 705 290 117 114 \n", + "5 : 5925 743 281 99 94 \n", + "6 : 5865 746 300 123 108 \n", + "7 : 5886 745 277 127 107 \n", + "8 : 5900 744 281 110 107 \n", + "9 : 5904 742 288 100 108 \n", + "10 : 5850 761 319 106 106 \n", + "11 : 5876 754 300 119 93 \n", + "12 : 5857 771 327 77 110 \n", + "13 : 5923 740 294 108 89 \n", "\n", - "T : 85787 8880 3196 1031 1106 [100000]\n", + "T : 82530 10370 4106 1481 1513 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.3%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 2.6963e-02 sec\n", - "--- Collate = 8.3161e-05 sec\n", + "--- Coef/DT = 4.2%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 1.0362e-02 sec\n", + "--- Collate = 7.8923e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.400052e-06 < 6.250000e-03 [651]\n", - "--- Max DT=3.578793e-01 > 1.000000e-01 [67298]\n", + "--- Min DT=4.416159e-06 < 6.250000e-03 [893]\n", + "--- Max DT=5.765566e-01 > 1.000000e-01 [68844]\n", "----------------------------------------------------------------------\n", - " Component | low: 651/100000\n", - " Component | high: 67298/100000\n", + " Component | low: 893/100000\n", + " Component | high: 68844/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=51.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00121612 [ 0.40 %]\n", - "Velocity : 0.00329164 [ 1.08 %]\n", - "Force : 0.0887579 [ 29.23 %]\n", - "Coefs : 0.0518956 [ 17.09 %]\n", - "Output : 0.00151705 [ 0.50 %]\n", - "Levels : 0.000301461 [ 0.10 %]\n", - "Report : 1.82e-06 [ 0.00 %]\n", - "Balance : 6.27e-07 [ 0.00 %]\n", - "Adjust : 0.156642 [ 51.58 %]\n", - "Total : 0.303687 [100.00 %]\n", + "Drift : 0.00068831 [ 0.47 %]\n", + "Velocity : 0.00272035 [ 1.87 %]\n", + "Force : 0.0528558 [ 36.26 %]\n", + "Coefs : 0.0225127 [ 15.44 %]\n", + "Output : 0.0012432 [ 0.85 %]\n", + "Levels : 0.000247486 [ 0.17 %]\n", + "Report : 1.491e-06 [ 0.00 %]\n", + "Balance : 5.28e-07 [ 0.00 %]\n", + "Adjust : 0.0654632 [ 44.90 %]\n", + "Total : 0.145789 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6161 603 212 87 79 \n", - "1 : 6150 601 232 80 79 \n", - "2 : 6105 680 206 70 81 \n", - "3 : 6104 662 228 74 74 \n", - "4 : 6111 633 232 92 74 \n", - "5 : 6152 624 219 63 84 \n", - "6 : 6121 626 249 70 76 \n", - "7 : 6111 629 242 69 91 \n", - "8 : 6141 648 224 56 73 \n", - "9 : 6088 669 239 77 69 \n", - "10 : 6120 627 230 73 92 \n", - "11 : 6099 648 242 72 81 \n", - "12 : 6129 649 213 67 84 \n", - "13 : 6144 622 228 75 85 \n", + "0 : 5860 784 269 109 120 \n", + "1 : 5879 739 295 108 121 \n", + "2 : 5940 691 291 100 120 \n", + "3 : 5967 707 269 89 110 \n", + "4 : 5916 714 279 128 105 \n", + "5 : 5923 744 278 104 93 \n", + "6 : 5866 747 301 114 114 \n", + "7 : 5885 751 276 125 105 \n", + "8 : 5901 744 288 101 108 \n", + "9 : 5902 748 287 99 106 \n", + "10 : 5849 763 313 111 106 \n", + "11 : 5881 752 291 128 90 \n", + "12 : 5856 775 318 86 107 \n", + "13 : 5918 750 290 109 87 \n", "\n", - "T : 85736 8921 3196 1025 1122 [100000]\n", + "T : 82543 10409 4045 1511 1492 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.2%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.7145e-02 sec\n", - "--- Collate = 7.1036e-05 sec\n", + "--- Coef/DT = 4.8%\n", + "--- Adj/Tot = 2.2%\n", + "--- Update = 1.0313e-02 sec\n", + "--- Collate = 7.4096e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.046575e-06 < 6.250000e-03 [670]\n", - "--- Max DT=3.580392e-01 > 1.000000e-01 [67297]\n", + "--- Min DT=6.759422e-06 < 6.250000e-03 [857]\n", + "--- Max DT=5.821893e-01 > 1.000000e-01 [68814]\n", "----------------------------------------------------------------------\n", - " Component | low: 670/100000\n", - " Component | high: 67297/100000\n", + " Component | low: 857/100000\n", + " Component | high: 68814/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=52] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0014267 [ 0.38 %]\n", - "Velocity : 0.004792 [ 1.28 %]\n", - "Force : 0.150904 [ 40.39 %]\n", - "Coefs : 0.0674276 [ 18.05 %]\n", - "Output : 0.00725338 [ 1.94 %]\n", - "Levels : 0.000330774 [ 0.09 %]\n", - "Report : 1.299e-06 [ 0.00 %]\n", - "Balance : 7.47e-07 [ 0.00 %]\n", - "Adjust : 0.141452 [ 37.86 %]\n", - "Total : 0.373648 [100.00 %]\n", + "Drift : 0.000754433 [ 0.51 %]\n", + "Velocity : 0.00278073 [ 1.87 %]\n", + "Force : 0.0522402 [ 35.05 %]\n", + "Coefs : 0.0222746 [ 14.94 %]\n", + "Output : 0.00620535 [ 4.16 %]\n", + "Levels : 0.000255529 [ 0.17 %]\n", + "Report : 1.594e-06 [ 0.00 %]\n", + "Balance : 9.48e-07 [ 0.00 %]\n", + "Adjust : 0.0644816 [ 43.26 %]\n", + "Total : 0.149047 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6157 599 216 82 88 \n", - "1 : 6148 605 228 86 75 \n", - "2 : 6105 683 203 70 81 \n", - "3 : 6098 672 226 73 73 \n", - "4 : 6113 633 232 89 75 \n", - "5 : 6144 631 221 57 89 \n", - "6 : 6119 627 249 66 81 \n", - "7 : 6113 627 243 66 93 \n", - "8 : 6141 642 226 63 70 \n", - "9 : 6087 673 229 87 66 \n", - "10 : 6125 628 221 78 90 \n", - "11 : 6106 642 243 69 82 \n", - "12 : 6128 645 216 75 78 \n", - "13 : 6143 622 229 67 93 \n", + "0 : 5861 780 275 107 119 \n", + "1 : 5881 739 287 118 117 \n", + "2 : 5942 694 290 101 115 \n", + "3 : 5975 702 261 95 109 \n", + "4 : 5912 720 277 126 107 \n", + "5 : 5921 751 266 112 92 \n", + "6 : 5863 750 300 113 116 \n", + "7 : 5887 746 280 117 112 \n", + "8 : 5910 735 285 99 113 \n", + "9 : 5902 747 282 107 104 \n", + "10 : 5859 748 318 109 108 \n", + "11 : 5882 758 289 122 91 \n", + "12 : 5857 782 303 91 109 \n", + "13 : 5916 756 290 105 87 \n", "\n", - "T : 85727 8929 3182 1028 1134 [100000]\n", + "T : 82568 10408 4003 1522 1499 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.0%\n", - "--- Adj/Tot = 1.4%\n", - "--- Update = 1.2187e-02 sec\n", - "--- Collate = 7.0502e-05 sec\n", + "--- Coef/DT = 3.6%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 1.0406e-02 sec\n", + "--- Collate = 1.0960e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.158274e-06 < 6.250000e-03 [685]\n", - "--- Max DT=3.581953e-01 > 1.000000e-01 [67294]\n", + "--- Min DT=4.771703e-06 < 6.250000e-03 [854]\n", + "--- Max DT=5.878299e-01 > 1.000000e-01 [68824]\n", "----------------------------------------------------------------------\n", - " Component | low: 685/100000\n", - " Component | high: 67294/100000\n", + " Component | low: 854/100000\n", + " Component | high: 68824/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=52.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00122853 [ 0.69 %]\n", - "Velocity : 0.00411107 [ 2.32 %]\n", - "Force : 0.0650775 [ 36.65 %]\n", - "Coefs : 0.025483 [ 14.35 %]\n", - "Output : 0.00129633 [ 0.73 %]\n", - "Levels : 0.000271822 [ 0.15 %]\n", - "Report : 1.142e-06 [ 0.00 %]\n", - "Balance : 3.99e-07 [ 0.00 %]\n", - "Adjust : 0.0800112 [ 45.07 %]\n", - "Total : 0.177546 [100.00 %]\n", + "Drift : 0.000752658 [ 0.52 %]\n", + "Velocity : 0.00272206 [ 1.90 %]\n", + "Force : 0.0521439 [ 36.35 %]\n", + "Coefs : 0.0220127 [ 15.35 %]\n", + "Output : 0.00114745 [ 0.80 %]\n", + "Levels : 0.000238231 [ 0.17 %]\n", + "Report : 1.172e-06 [ 0.00 %]\n", + "Balance : 8.01e-07 [ 0.00 %]\n", + "Adjust : 0.0643631 [ 44.87 %]\n", + "Total : 0.143445 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6157 601 223 79 82 \n", - "1 : 6152 608 219 92 71 \n", - "2 : 6097 691 199 74 81 \n", - "3 : 6101 667 226 78 70 \n", - "4 : 6111 637 233 89 72 \n", - "5 : 6138 636 218 63 87 \n", - "6 : 6114 640 238 71 79 \n", - "7 : 6119 620 246 72 85 \n", - "8 : 6147 636 230 62 67 \n", - "9 : 6082 677 231 85 67 \n", - "10 : 6123 627 220 84 88 \n", - "11 : 6102 644 247 68 81 \n", - "12 : 6122 652 211 81 76 \n", - "13 : 6132 637 221 72 92 \n", + "0 : 5867 771 276 109 119 \n", + "1 : 5878 747 279 124 114 \n", + "2 : 5941 698 285 105 113 \n", + "3 : 5979 699 263 96 105 \n", + "4 : 5915 712 281 132 102 \n", + "5 : 5923 752 271 98 98 \n", + "6 : 5869 738 301 117 117 \n", + "7 : 5879 754 279 121 109 \n", + "8 : 5911 726 288 101 116 \n", + "9 : 5898 747 289 108 100 \n", + "10 : 5856 745 319 115 107 \n", + "11 : 5884 752 288 123 95 \n", + "12 : 5852 794 293 98 105 \n", + "13 : 5915 750 305 94 90 \n", "\n", - "T : 85697 8973 3162 1070 1098 [100000]\n", + "T : 82567 10385 4017 1541 1490 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.2%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.4199e-02 sec\n", - "--- Collate = 1.2718e-04 sec\n", + "--- Coef/DT = 3.7%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 1.0311e-02 sec\n", + "--- Collate = 8.6036e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.564812e-06 < 6.250000e-03 [672]\n", - "--- Max DT=3.583455e-01 > 1.000000e-01 [67317]\n", + "--- Min DT=5.703102e-06 < 6.250000e-03 [827]\n", + "--- Max DT=5.934784e-01 > 1.000000e-01 [68807]\n", "----------------------------------------------------------------------\n", - " Component | low: 672/100000\n", - " Component | high: 67317/100000\n", + " Component | low: 827/100000\n", + " Component | high: 68807/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=52.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00116531 [ 0.61 %]\n", - "Velocity : 0.00424072 [ 2.22 %]\n", - "Force : 0.0727076 [ 38.02 %]\n", - "Coefs : 0.0255884 [ 13.38 %]\n", - "Output : 0.00185104 [ 0.97 %]\n", - "Levels : 0.000332213 [ 0.17 %]\n", - "Report : 5.84e-07 [ 0.00 %]\n", - "Balance : 3.09e-07 [ 0.00 %]\n", - "Adjust : 0.0852965 [ 44.60 %]\n", - "Total : 0.191245 [100.00 %]\n", + "Drift : 0.000721025 [ 0.50 %]\n", + "Velocity : 0.00253132 [ 1.76 %]\n", + "Force : 0.052284 [ 36.33 %]\n", + "Coefs : 0.0221345 [ 15.38 %]\n", + "Output : 0.000979186 [ 0.68 %]\n", + "Levels : 0.000272992 [ 0.19 %]\n", + "Report : 1.305e-06 [ 0.00 %]\n", + "Balance : 5.34e-07 [ 0.00 %]\n", + "Adjust : 0.0649464 [ 45.13 %]\n", + "Total : 0.143925 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6157 594 233 74 84 \n", - "1 : 6152 606 224 95 65 \n", - "2 : 6094 694 194 74 86 \n", - "3 : 6100 667 230 68 77 \n", - "4 : 6114 640 231 81 76 \n", - "5 : 6139 635 215 64 89 \n", - "6 : 6109 650 229 75 79 \n", - "7 : 6113 631 240 77 81 \n", - "8 : 6147 636 227 67 65 \n", - "9 : 6081 676 232 82 71 \n", - "10 : 6118 633 216 84 91 \n", - "11 : 6102 645 250 62 83 \n", - "12 : 6120 658 206 76 82 \n", - "13 : 6130 633 223 81 87 \n", + "0 : 5876 767 276 97 126 \n", + "1 : 5882 745 279 120 116 \n", + "2 : 5937 700 282 111 112 \n", + "3 : 5979 704 260 96 103 \n", + "4 : 5910 723 270 136 103 \n", + "5 : 5921 759 267 111 84 \n", + "6 : 5868 744 291 116 123 \n", + "7 : 5878 760 280 115 109 \n", + "8 : 5920 721 279 110 112 \n", + "9 : 5894 745 294 110 99 \n", + "10 : 5853 753 310 116 110 \n", + "11 : 5885 754 277 126 100 \n", + "12 : 5846 790 298 103 105 \n", + "13 : 5915 749 300 96 94 \n", "\n", - "T : 85676 8998 3150 1060 1116 [100000]\n", + "T : 82564 10414 3963 1563 1496 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.0%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.2537e-02 sec\n", - "--- Collate = 1.1681e-04 sec\n", + "--- Coef/DT = 4.0%\n", + "--- Adj/Tot = 2.1%\n", + "--- Update = 1.0853e-02 sec\n", + "--- Collate = 6.6762e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.425785e-07 < 6.250000e-03 [679]\n", - "--- Max DT=3.584965e-01 > 1.000000e-01 [67332]\n", + "--- Min DT=1.246239e-06 < 6.250000e-03 [840]\n", + "--- Max DT=5.991349e-01 > 1.000000e-01 [68816]\n", "----------------------------------------------------------------------\n", - " Component | low: 679/100000\n", - " Component | high: 67332/100000\n", + " Component | low: 840/100000\n", + " Component | high: 68816/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=52.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00137626 [ 0.73 %]\n", - "Velocity : 0.0042593 [ 2.25 %]\n", - "Force : 0.0663898 [ 35.09 %]\n", - "Coefs : 0.0316933 [ 16.75 %]\n", - "Output : 0.00166357 [ 0.88 %]\n", - "Levels : 0.000335431 [ 0.18 %]\n", - "Report : 5.38e-07 [ 0.00 %]\n", - "Balance : 3.64e-07 [ 0.00 %]\n", - "Adjust : 0.0834163 [ 44.09 %]\n", - "Total : 0.189192 [100.00 %]\n", + "Drift : 0.000699023 [ 0.47 %]\n", + "Velocity : 0.00224871 [ 1.50 %]\n", + "Force : 0.0542013 [ 36.20 %]\n", + "Coefs : 0.0224194 [ 14.97 %]\n", + "Output : 0.000938459 [ 0.63 %]\n", + "Levels : 0.000161574 [ 0.11 %]\n", + "Report : 9.67e-07 [ 0.00 %]\n", + "Balance : 4.1e-07 [ 0.00 %]\n", + "Adjust : 0.0690242 [ 46.10 %]\n", + "Total : 0.149743 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6161 589 229 77 86 \n", - "1 : 6150 604 227 90 71 \n", - "2 : 6093 691 199 76 83 \n", - "3 : 6098 669 225 69 81 \n", - "4 : 6105 649 229 83 76 \n", - "5 : 6134 638 212 65 93 \n", - "6 : 6108 652 230 73 79 \n", - "7 : 6116 622 239 81 84 \n", - "8 : 6151 632 228 70 61 \n", - "9 : 6082 677 236 75 72 \n", - "10 : 6108 642 219 86 87 \n", - "11 : 6108 646 240 63 85 \n", - "12 : 6114 663 204 79 82 \n", - "13 : 6128 637 220 84 85 \n", + "0 : 5879 769 268 95 131 \n", + "1 : 5879 745 288 114 116 \n", + "2 : 5927 712 272 126 105 \n", + "3 : 5978 702 265 90 107 \n", + "4 : 5922 706 281 132 101 \n", + "5 : 5921 753 274 109 85 \n", + "6 : 5869 747 283 113 130 \n", + "7 : 5877 756 288 117 104 \n", + "8 : 5914 727 278 109 114 \n", + "9 : 5893 746 293 109 101 \n", + "10 : 5850 755 314 120 103 \n", + "11 : 5883 752 281 120 106 \n", + "12 : 5851 789 290 108 104 \n", + "13 : 5914 751 293 100 96 \n", "\n", - "T : 85656 9011 3137 1071 1125 [100000]\n", + "T : 82557 10410 3968 1562 1503 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.1966e-02 sec\n", - "--- Collate = 1.0381e-04 sec\n", + "--- Coef/DT = 3.6%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 1.0541e-02 sec\n", + "--- Collate = 6.0720e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.401716e-06 < 6.250000e-03 [678]\n", - "--- Max DT=3.586406e-01 > 1.000000e-01 [67343]\n", + "--- Min DT=3.219660e-07 < 6.250000e-03 [830]\n", + "--- Max DT=6.047991e-01 > 1.000000e-01 [68817]\n", "----------------------------------------------------------------------\n", - " Component | low: 678/100000\n", - " Component | high: 67343/100000\n", + " Component | low: 830/100000\n", + " Component | high: 68817/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=52.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000949647 [ 0.52 %]\n", - "Velocity : 0.0025399 [ 1.39 %]\n", - "Force : 0.0740798 [ 40.64 %]\n", - "Coefs : 0.0266529 [ 14.62 %]\n", - "Output : 0.00159343 [ 0.87 %]\n", - "Levels : 0.000303723 [ 0.17 %]\n", - "Report : 1.367e-06 [ 0.00 %]\n", - "Balance : 5.96e-07 [ 0.00 %]\n", - "Adjust : 0.0761094 [ 41.75 %]\n", - "Total : 0.182295 [100.00 %]\n", + "Drift : 0.000570581 [ 0.40 %]\n", + "Velocity : 0.00155175 [ 1.08 %]\n", + "Force : 0.0525306 [ 36.46 %]\n", + "Coefs : 0.0233954 [ 16.24 %]\n", + "Output : 0.00054622 [ 0.38 %]\n", + "Levels : 0.000197633 [ 0.14 %]\n", + "Report : 1.368e-06 [ 0.00 %]\n", + "Balance : 2.36e-07 [ 0.00 %]\n", + "Adjust : 0.0652348 [ 45.28 %]\n", + "Total : 0.144066 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6163 590 221 76 92 \n", - "1 : 6145 612 230 81 74 \n", - "2 : 6093 690 200 80 79 \n", - "3 : 6093 677 222 64 86 \n", - "4 : 6110 651 226 77 78 \n", - "5 : 6126 644 215 72 85 \n", - "6 : 6107 657 224 82 72 \n", - "7 : 6114 626 232 83 87 \n", - "8 : 6149 630 231 72 60 \n", - "9 : 6083 674 229 81 75 \n", - "10 : 6103 646 219 88 86 \n", - "11 : 6105 648 238 65 86 \n", - "12 : 6106 670 203 82 81 \n", - "13 : 6122 643 218 86 85 \n", + "0 : 5890 760 264 100 128 \n", + "1 : 5880 752 284 114 112 \n", + "2 : 5922 725 268 124 103 \n", + "3 : 5978 704 270 88 102 \n", + "4 : 5921 712 287 121 101 \n", + "5 : 5924 742 280 108 88 \n", + "6 : 5877 742 273 120 130 \n", + "7 : 5867 769 286 111 109 \n", + "8 : 5916 728 278 104 116 \n", + "9 : 5891 744 297 112 98 \n", + "10 : 5842 765 306 122 107 \n", + "11 : 5883 755 281 109 114 \n", + "12 : 5845 799 290 108 100 \n", + "13 : 5916 749 286 113 90 \n", "\n", - "T : 85619 9058 3108 1089 1126 [100000]\n", + "T : 82552 10446 3950 1554 1498 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.7%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.2803e-02 sec\n", - "--- Collate = 1.0175e-04 sec\n", + "--- Coef/DT = 3.7%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 1.0587e-02 sec\n", + "--- Collate = 6.0644e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.590554e-06 < 6.250000e-03 [688]\n", - "--- Max DT=3.587830e-01 > 1.000000e-01 [67369]\n", + "--- Min DT=2.805753e-06 < 6.250000e-03 [822]\n", + "--- Max DT=6.104710e-01 > 1.000000e-01 [68839]\n", "----------------------------------------------------------------------\n", - " Component | low: 688/100000\n", - " Component | high: 67369/100000\n", + " Component | low: 822/100000\n", + " Component | high: 68839/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=52.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000680852 [ 0.39 %]\n", - "Velocity : 0.00237844 [ 1.37 %]\n", - "Force : 0.0668953 [ 38.61 %]\n", - "Coefs : 0.026245 [ 15.15 %]\n", - "Output : 0.000975601 [ 0.56 %]\n", - "Levels : 0.000253809 [ 0.15 %]\n", - "Report : 1.273e-06 [ 0.00 %]\n", - "Balance : 5.73e-07 [ 0.00 %]\n", - "Adjust : 0.0757632 [ 43.73 %]\n", - "Total : 0.173257 [100.00 %]\n", + "Drift : 0.000517587 [ 0.36 %]\n", + "Velocity : 0.00153739 [ 1.08 %]\n", + "Force : 0.0526529 [ 36.90 %]\n", + "Coefs : 0.0233921 [ 16.39 %]\n", + "Output : 0.000614498 [ 0.43 %]\n", + "Levels : 0.000130685 [ 0.09 %]\n", + "Report : 8.89e-07 [ 0.00 %]\n", + "Balance : 2.2e-07 [ 0.00 %]\n", + "Adjust : 0.0638172 [ 44.72 %]\n", + "Total : 0.142699 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6163 590 223 74 92 \n", - "1 : 6132 632 231 73 74 \n", - "2 : 6091 690 208 75 78 \n", - "3 : 6093 671 229 61 88 \n", - "4 : 6110 654 223 83 72 \n", - "5 : 6124 649 211 73 85 \n", - "6 : 6104 664 220 76 78 \n", - "7 : 6106 639 221 85 91 \n", - "8 : 6151 626 237 70 58 \n", - "9 : 6082 670 227 82 81 \n", - "10 : 6095 654 221 78 94 \n", - "11 : 6103 651 229 74 85 \n", - "12 : 6112 659 205 82 84 \n", - "13 : 6120 647 216 83 88 \n", + "0 : 5891 768 260 100 123 \n", + "1 : 5879 763 273 125 102 \n", + "2 : 5919 730 260 127 106 \n", + "3 : 5973 712 260 99 98 \n", + "4 : 5923 717 276 124 102 \n", + "5 : 5925 741 284 101 91 \n", + "6 : 5870 749 272 126 125 \n", + "7 : 5859 786 273 118 106 \n", + "8 : 5924 717 281 101 119 \n", + "9 : 5896 739 298 115 94 \n", + "10 : 5842 771 296 120 113 \n", + "11 : 5881 758 284 105 114 \n", + "12 : 5846 792 291 112 101 \n", + "13 : 5913 762 279 110 90 \n", "\n", - "T : 85586 9096 3101 1069 1148 [100000]\n", + "T : 82541 10505 3887 1583 1484 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.3%\n", - "--- Adj/Tot = 1.2%\n", - "--- Update = 1.2718e-02 sec\n", - "--- Collate = 9.6150e-05 sec\n", + "--- Coef/DT = 3.7%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 1.1029e-02 sec\n", + "--- Collate = 8.0119e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.675707e-06 < 6.250000e-03 [661]\n", - "--- Max DT=3.589167e-01 > 1.000000e-01 [67378]\n", + "--- Min DT=3.347422e-06 < 6.250000e-03 [850]\n", + "--- Max DT=6.161507e-01 > 1.000000e-01 [68831]\n", "----------------------------------------------------------------------\n", - " Component | low: 661/100000\n", - " Component | high: 67378/100000\n", + " Component | low: 850/100000\n", + " Component | high: 68831/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=52.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000713912 [ 0.43 %]\n", - "Velocity : 0.00229047 [ 1.37 %]\n", - "Force : 0.0614203 [ 36.76 %]\n", - "Coefs : 0.0256931 [ 15.38 %]\n", - "Output : 0.0010342 [ 0.62 %]\n", - "Levels : 0.000196559 [ 0.12 %]\n", - "Report : 1.219e-06 [ 0.00 %]\n", - "Balance : 5.39e-07 [ 0.00 %]\n", - "Adjust : 0.0756691 [ 45.29 %]\n", - "Total : 0.167072 [100.00 %]\n", + "Drift : 0.000544713 [ 0.38 %]\n", + "Velocity : 0.00151597 [ 1.06 %]\n", + "Force : 0.0513791 [ 35.82 %]\n", + "Coefs : 0.0233161 [ 16.26 %]\n", + "Output : 0.000593435 [ 0.41 %]\n", + "Levels : 0.000126635 [ 0.09 %]\n", + "Report : 3.6e-07 [ 0.00 %]\n", + "Balance : 2.86e-07 [ 0.00 %]\n", + "Adjust : 0.0659123 [ 45.96 %]\n", + "Total : 0.143425 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6168 587 218 76 93 \n", - "1 : 6129 637 232 75 69 \n", - "2 : 6091 690 207 75 79 \n", - "3 : 6086 677 230 69 80 \n", - "4 : 6109 655 216 84 78 \n", - "5 : 6129 643 210 70 90 \n", - "6 : 6106 663 222 80 71 \n", - "7 : 6104 637 223 87 91 \n", - "8 : 6157 618 231 78 58 \n", - "9 : 6079 668 231 81 83 \n", - "10 : 6095 656 216 82 93 \n", - "11 : 6111 644 227 75 85 \n", - "12 : 6108 655 216 89 74 \n", - "13 : 6121 644 220 78 91 \n", + "0 : 5890 768 254 108 122 \n", + "1 : 5884 767 268 124 99 \n", + "2 : 5922 737 252 128 103 \n", + "3 : 5972 718 259 94 99 \n", + "4 : 5926 711 276 121 108 \n", + "5 : 5921 760 272 96 93 \n", + "6 : 5868 761 268 126 119 \n", + "7 : 5859 787 273 110 113 \n", + "8 : 5926 714 279 105 118 \n", + "9 : 5901 737 293 116 95 \n", + "10 : 5842 770 301 115 114 \n", + "11 : 5881 765 276 105 115 \n", + "12 : 5848 791 291 107 105 \n", + "13 : 5916 759 276 109 94 \n", "\n", - "T : 85593 9074 3099 1099 1135 [100000]\n", + "T : 82556 10545 3838 1564 1497 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.1834e-02 sec\n", - "--- Collate = 8.1169e-05 sec\n", + "--- Coef/DT = 3.6%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 1.0754e-02 sec\n", + "--- Collate = 6.4257e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.724983e-06 < 6.250000e-03 [661]\n", - "--- Max DT=3.590420e-01 > 1.000000e-01 [67384]\n", + "--- Min DT=1.179842e-06 < 6.250000e-03 [884]\n", + "--- Max DT=6.218379e-01 > 1.000000e-01 [68839]\n", "----------------------------------------------------------------------\n", - " Component | low: 661/100000\n", - " Component | high: 67384/100000\n", + " Component | low: 884/100000\n", + " Component | high: 68839/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=52.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000740753 [ 0.46 %]\n", - "Velocity : 0.00229785 [ 1.42 %]\n", - "Force : 0.0586333 [ 36.28 %]\n", - "Coefs : 0.0242141 [ 14.98 %]\n", - "Output : 0.00154367 [ 0.96 %]\n", - "Levels : 0.000218262 [ 0.14 %]\n", - "Report : 1.446e-06 [ 0.00 %]\n", - "Balance : 5.54e-07 [ 0.00 %]\n", - "Adjust : 0.0738878 [ 45.72 %]\n", - "Total : 0.161593 [100.00 %]\n", + "Drift : 0.000553035 [ 0.38 %]\n", + "Velocity : 0.00158078 [ 1.09 %]\n", + "Force : 0.0527715 [ 36.29 %]\n", + "Coefs : 0.0235031 [ 16.16 %]\n", + "Output : 0.000599411 [ 0.41 %]\n", + "Levels : 0.000148167 [ 0.10 %]\n", + "Report : 2.35e-07 [ 0.00 %]\n", + "Balance : 2.8e-07 [ 0.00 %]\n", + "Adjust : 0.0662329 [ 45.54 %]\n", + "Total : 0.145425 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6171 582 224 72 93 \n", - "1 : 6125 641 223 83 70 \n", - "2 : 6091 684 209 82 76 \n", - "3 : 6088 672 230 74 78 \n", - "4 : 6108 645 229 85 75 \n", - "5 : 6126 645 208 75 88 \n", - "6 : 6098 665 237 77 65 \n", - "7 : 6104 648 212 86 92 \n", - "8 : 6152 621 229 78 62 \n", - "9 : 6079 666 228 87 82 \n", - "10 : 6095 661 212 82 92 \n", - "11 : 6112 641 225 74 90 \n", - "12 : 6107 655 214 90 76 \n", - "13 : 6115 648 227 74 90 \n", + "0 : 5888 775 262 93 124 \n", + "1 : 5887 772 264 117 102 \n", + "2 : 5929 732 252 129 100 \n", + "3 : 5970 719 260 95 98 \n", + "4 : 5933 709 268 116 116 \n", + "5 : 5916 767 268 97 94 \n", + "6 : 5871 756 274 113 128 \n", + "7 : 5852 795 272 105 118 \n", + "8 : 5925 718 279 99 121 \n", + "9 : 5899 752 275 117 99 \n", + "10 : 5836 777 294 120 115 \n", + "11 : 5870 770 287 102 113 \n", + "12 : 5851 785 297 102 107 \n", + "13 : 5920 754 278 100 102 \n", "\n", - "T : 85571 9074 3107 1119 1129 [100000]\n", + "T : 82547 10581 3830 1505 1537 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.6%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.2614e-02 sec\n", - "--- Collate = 9.3319e-05 sec\n", + "--- Coef/DT = 3.5%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 1.0806e-02 sec\n", + "--- Collate = 6.3690e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.054507e-05 < 6.250000e-03 [657]\n", - "--- Max DT=3.591596e-01 > 1.000000e-01 [67408]\n", + "--- Min DT=1.114085e-06 < 6.250000e-03 [876]\n", + "--- Max DT=6.275327e-01 > 1.000000e-01 [68861]\n", "----------------------------------------------------------------------\n", - " Component | low: 657/100000\n", - " Component | high: 67408/100000\n", + " Component | low: 876/100000\n", + " Component | high: 68861/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=52.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000879424 [ 0.51 %]\n", - "Velocity : 0.00284855 [ 1.64 %]\n", - "Force : 0.068937 [ 39.60 %]\n", - "Coefs : 0.0258795 [ 14.87 %]\n", - "Output : 0.00138266 [ 0.79 %]\n", - "Levels : 0.000273574 [ 0.16 %]\n", - "Report : 1.052e-06 [ 0.00 %]\n", - "Balance : 3.53e-07 [ 0.00 %]\n", - "Adjust : 0.0738311 [ 42.41 %]\n", - "Total : 0.174093 [100.00 %]\n", + "Drift : 0.000590194 [ 0.41 %]\n", + "Velocity : 0.00152983 [ 1.07 %]\n", + "Force : 0.0518018 [ 36.15 %]\n", + "Coefs : 0.0232872 [ 16.25 %]\n", + "Output : 0.000584654 [ 0.41 %]\n", + "Levels : 0.000153914 [ 0.11 %]\n", + "Report : 5.22e-07 [ 0.00 %]\n", + "Balance : 2.1e-07 [ 0.00 %]\n", + "Adjust : 0.0652982 [ 45.57 %]\n", + "Total : 0.143286 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6167 577 231 77 90 \n", - "1 : 6121 640 233 79 69 \n", - "2 : 6096 675 214 82 75 \n", - "3 : 6085 672 237 74 74 \n", - "4 : 6104 652 224 85 77 \n", - "5 : 6123 653 197 84 85 \n", - "6 : 6100 663 231 83 65 \n", - "7 : 6091 661 212 81 97 \n", - "8 : 6152 627 220 81 62 \n", - "9 : 6073 666 230 95 78 \n", - "10 : 6093 665 218 79 87 \n", - "11 : 6112 641 219 83 87 \n", - "12 : 6105 650 224 82 81 \n", - "13 : 6104 659 230 74 87 \n", + "0 : 5888 771 262 99 122 \n", + "1 : 5884 770 272 116 100 \n", + "2 : 5929 738 250 120 105 \n", + "3 : 5970 719 264 100 89 \n", + "4 : 5927 712 277 112 114 \n", + "5 : 5918 763 269 93 99 \n", + "6 : 5866 764 275 106 131 \n", + "7 : 5855 794 273 110 110 \n", + "8 : 5930 722 263 102 125 \n", + "9 : 5899 748 275 113 107 \n", + "10 : 5830 782 291 114 125 \n", + "11 : 5869 771 292 85 125 \n", + "12 : 5849 802 283 103 105 \n", + "13 : 5921 754 282 97 100 \n", "\n", - "T : 85526 9101 3120 1139 1114 [100000]\n", + "T : 82535 10610 3828 1470 1557 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.2%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.2677e-02 sec\n", - "--- Collate = 9.2758e-05 sec\n", + "--- Coef/DT = 3.2%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 1.0764e-02 sec\n", + "--- Collate = 6.5450e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.009436e-06 < 6.250000e-03 [664]\n", - "--- Max DT=3.592725e-01 > 1.000000e-01 [67405]\n", + "--- Min DT=8.228934e-06 < 6.250000e-03 [880]\n", + "--- Max DT=6.332351e-01 > 1.000000e-01 [68861]\n", "----------------------------------------------------------------------\n", - " Component | low: 664/100000\n", - " Component | high: 67405/100000\n", + " Component | low: 880/100000\n", + " Component | high: 68861/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=52.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00116726 [ 0.65 %]\n", - "Velocity : 0.00384602 [ 2.14 %]\n", - "Force : 0.067593 [ 37.57 %]\n", - "Coefs : 0.028308 [ 15.74 %]\n", - "Output : 0.00102776 [ 0.57 %]\n", - "Levels : 0.000281794 [ 0.16 %]\n", - "Report : 1.302e-06 [ 0.00 %]\n", - "Balance : 5.6e-07 [ 0.00 %]\n", - "Adjust : 0.0776133 [ 43.14 %]\n", - "Total : 0.179901 [100.00 %]\n", + "Drift : 0.000577965 [ 0.39 %]\n", + "Velocity : 0.00169192 [ 1.14 %]\n", + "Force : 0.053626 [ 36.06 %]\n", + "Coefs : 0.0235172 [ 15.81 %]\n", + "Output : 0.000705395 [ 0.47 %]\n", + "Levels : 0.000229124 [ 0.15 %]\n", + "Report : 5.38e-07 [ 0.00 %]\n", + "Balance : 2.9e-07 [ 0.00 %]\n", + "Adjust : 0.0683168 [ 45.94 %]\n", + "Total : 0.148706 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6171 571 228 76 96 \n", - "1 : 6124 630 241 79 68 \n", - "2 : 6095 672 221 75 79 \n", - "3 : 6093 658 243 72 76 \n", - "4 : 6097 646 249 73 77 \n", - "5 : 6119 654 194 92 83 \n", - "6 : 6099 663 229 85 66 \n", - "7 : 6085 665 217 85 90 \n", - "8 : 6148 630 220 81 63 \n", - "9 : 6072 669 221 100 80 \n", - "10 : 6098 661 219 84 80 \n", - "11 : 6105 641 225 90 81 \n", - "12 : 6107 646 230 80 79 \n", - "13 : 6099 656 235 80 84 \n", + "0 : 5886 767 266 100 123 \n", + "1 : 5889 769 276 112 96 \n", + "2 : 5921 749 257 114 101 \n", + "3 : 5966 729 258 101 88 \n", + "4 : 5933 703 278 121 107 \n", + "5 : 5914 758 280 83 107 \n", + "6 : 5866 766 269 113 128 \n", + "7 : 5853 803 268 106 112 \n", + "8 : 5931 723 265 102 121 \n", + "9 : 5900 753 267 112 110 \n", + "10 : 5829 786 282 122 123 \n", + "11 : 5863 782 283 92 122 \n", + "12 : 5851 796 290 98 107 \n", + "13 : 5927 752 273 101 101 \n", "\n", - "T : 85512 9062 3172 1152 1102 [100000]\n", + "T : 82529 10636 3812 1477 1546 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.6%\n", - "--- Adj/Tot = 1.4%\n", - "--- Update = 1.0930e-02 sec\n", - "--- Collate = 7.3771e-05 sec\n", + "--- Coef/DT = 3.4%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 1.0589e-02 sec\n", + "--- Collate = 5.6390e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.294905e-06 < 6.250000e-03 [663]\n", - "--- Max DT=3.593802e-01 > 1.000000e-01 [67396]\n", + "--- Min DT=5.489539e-06 < 6.250000e-03 [892]\n", + "--- Max DT=6.389449e-01 > 1.000000e-01 [68887]\n", "----------------------------------------------------------------------\n", - " Component | low: 663/100000\n", - " Component | high: 67396/100000\n", + " Component | low: 892/100000\n", + " Component | high: 68887/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=53] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00144103 [ 0.81 %]\n", - "Velocity : 0.00312043 [ 1.76 %]\n", - "Force : 0.0639667 [ 36.07 %]\n", - "Coefs : 0.0276538 [ 15.59 %]\n", - "Output : 0.00730708 [ 4.12 %]\n", - "Levels : 0.00023876 [ 0.13 %]\n", - "Report : 1.534e-06 [ 0.00 %]\n", - "Balance : 9.8e-07 [ 0.00 %]\n", - "Adjust : 0.073541 [ 41.47 %]\n", - "Total : 0.177326 [100.00 %]\n", + "Drift : 0.000515871 [ 0.34 %]\n", + "Velocity : 0.00157106 [ 1.05 %]\n", + "Force : 0.0524183 [ 34.91 %]\n", + "Coefs : 0.023591 [ 15.71 %]\n", + "Output : 0.00499545 [ 3.33 %]\n", + "Levels : 0.000163549 [ 0.11 %]\n", + "Report : 1.376e-06 [ 0.00 %]\n", + "Balance : 6.04e-07 [ 0.00 %]\n", + "Adjust : 0.0668645 [ 44.53 %]\n", + "Total : 0.150161 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6169 577 221 74 101 \n", - "1 : 6125 634 236 79 68 \n", - "2 : 6095 671 222 75 79 \n", - "3 : 6083 675 231 75 78 \n", - "4 : 6091 643 253 74 81 \n", - "5 : 6113 657 195 96 81 \n", - "6 : 6099 670 224 86 63 \n", - "7 : 6085 663 222 76 96 \n", - "8 : 6147 635 214 84 62 \n", - "9 : 6068 669 227 93 85 \n", - "10 : 6104 649 229 87 73 \n", - "11 : 6100 643 231 90 78 \n", - "12 : 6103 649 223 85 82 \n", - "13 : 6103 649 235 83 84 \n", + "0 : 5890 771 260 100 121 \n", + "1 : 5888 763 282 108 101 \n", + "2 : 5922 747 264 101 108 \n", + "3 : 5971 729 251 103 88 \n", + "4 : 5933 710 273 131 95 \n", + "5 : 5916 761 274 82 109 \n", + "6 : 5868 761 267 119 127 \n", + "7 : 5863 791 276 98 114 \n", + "8 : 5932 725 259 107 119 \n", + "9 : 5898 762 261 106 115 \n", + "10 : 5833 785 272 134 118 \n", + "11 : 5868 785 274 95 120 \n", + "12 : 5849 794 300 85 114 \n", + "13 : 5929 757 271 103 94 \n", "\n", - "T : 85485 9084 3163 1157 1111 [100000]\n", + "T : 82560 10641 3784 1472 1543 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", - "--- Adj/Tot = 1.4%\n", - "--- Update = 1.2916e-02 sec\n", - "--- Collate = 7.5412e-05 sec\n", + "--- Coef/DT = 4.1%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 1.0517e-02 sec\n", + "--- Collate = 6.4724e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.829308e-06 < 6.250000e-03 [645]\n", - "--- Max DT=3.594826e-01 > 1.000000e-01 [67394]\n", + "--- Min DT=8.465903e-06 < 6.250000e-03 [893]\n", + "--- Max DT=6.446621e-01 > 1.000000e-01 [68905]\n", "----------------------------------------------------------------------\n", - " Component | low: 645/100000\n", - " Component | high: 67394/100000\n", + " Component | low: 893/100000\n", + " Component | high: 68905/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=53.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00128393 [ 0.74 %]\n", - "Velocity : 0.00379563 [ 2.17 %]\n", - "Force : 0.0656192 [ 37.59 %]\n", - "Coefs : 0.0249572 [ 14.30 %]\n", - "Output : 0.00105165 [ 0.60 %]\n", - "Levels : 0.000296769 [ 0.17 %]\n", - "Report : 1.132e-06 [ 0.00 %]\n", - "Balance : 5.6e-07 [ 0.00 %]\n", - "Adjust : 0.0775 [ 44.40 %]\n", - "Total : 0.174566 [100.00 %]\n", + "Drift : 0.000632742 [ 0.44 %]\n", + "Velocity : 0.00169115 [ 1.18 %]\n", + "Force : 0.0519436 [ 36.35 %]\n", + "Coefs : 0.023169 [ 16.21 %]\n", + "Output : 0.000687643 [ 0.48 %]\n", + "Levels : 0.000199369 [ 0.14 %]\n", + "Report : 6.05e-07 [ 0.00 %]\n", + "Balance : 5.83e-07 [ 0.00 %]\n", + "Adjust : 0.0645274 [ 45.16 %]\n", + "Total : 0.142899 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6160 587 221 74 100 \n", - "1 : 6124 636 230 81 71 \n", - "2 : 6089 669 236 71 77 \n", - "3 : 6086 668 235 75 78 \n", - "4 : 6087 647 255 78 75 \n", - "5 : 6102 673 197 91 79 \n", - "6 : 6095 675 221 84 67 \n", - "7 : 6088 663 225 68 98 \n", - "8 : 6141 642 215 83 61 \n", - "9 : 6067 668 227 104 76 \n", - "10 : 6106 648 232 82 74 \n", - "11 : 6094 638 243 96 71 \n", - "12 : 6101 644 231 85 81 \n", - "13 : 6104 643 243 80 84 \n", + "0 : 5883 773 266 110 110 \n", + "1 : 5886 767 285 101 103 \n", + "2 : 5919 741 275 99 108 \n", + "3 : 5960 743 253 105 81 \n", + "4 : 5938 705 275 128 96 \n", + "5 : 5915 764 266 92 105 \n", + "6 : 5864 769 267 111 131 \n", + "7 : 5867 785 282 94 114 \n", + "8 : 5937 716 266 108 115 \n", + "9 : 5906 757 261 103 115 \n", + "10 : 5831 789 269 130 123 \n", + "11 : 5861 791 269 94 127 \n", + "12 : 5846 804 294 88 110 \n", + "13 : 5935 752 261 107 99 \n", "\n", - "T : 85444 9101 3211 1152 1092 [100000]\n", + "T : 82548 10656 3789 1470 1537 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.8%\n", - "--- Adj/Tot = 1.3%\n", - "--- Update = 1.1880e-02 sec\n", - "--- Collate = 2.9840e-04 sec\n", + "--- Coef/DT = 3.7%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 1.0465e-02 sec\n", + "--- Collate = 8.0373e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.039302e-06 < 6.250000e-03 [641]\n", - "--- Max DT=3.595843e-01 > 1.000000e-01 [67383]\n", + "--- Min DT=1.516898e-06 < 6.250000e-03 [884]\n", + "--- Max DT=6.503866e-01 > 1.000000e-01 [68921]\n", "----------------------------------------------------------------------\n", - " Component | low: 641/100000\n", - " Component | high: 67383/100000\n", + " Component | low: 884/100000\n", + " Component | high: 68921/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=53.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00111528 [ 0.66 %]\n", - "Velocity : 0.00320055 [ 1.89 %]\n", - "Force : 0.064982 [ 38.43 %]\n", - "Coefs : 0.0262361 [ 15.52 %]\n", - "Output : 0.00100499 [ 0.59 %]\n", - "Levels : 0.000240562 [ 0.14 %]\n", - "Report : 9.45e-07 [ 0.00 %]\n", - "Balance : 3.41e-07 [ 0.00 %]\n", - "Adjust : 0.0722586 [ 42.73 %]\n", - "Total : 0.169093 [100.00 %]\n", + "Drift : 0.000576909 [ 0.39 %]\n", + "Velocity : 0.00197969 [ 1.35 %]\n", + "Force : 0.0530777 [ 36.25 %]\n", + "Coefs : 0.0232264 [ 15.86 %]\n", + "Output : 0.000672585 [ 0.46 %]\n", + "Levels : 0.00015919 [ 0.11 %]\n", + "Report : 9.93e-07 [ 0.00 %]\n", + "Balance : 5.37e-07 [ 0.00 %]\n", + "Adjust : 0.0666738 [ 45.53 %]\n", + "Total : 0.146424 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6158 586 224 75 99 \n", - "1 : 6118 640 239 79 66 \n", - "2 : 6089 665 245 66 77 \n", - "3 : 6082 666 244 69 81 \n", - "4 : 6080 650 261 77 74 \n", - "5 : 6097 669 205 89 82 \n", - "6 : 6094 674 226 76 72 \n", - "7 : 6081 675 221 69 96 \n", - "8 : 6138 651 208 82 63 \n", - "9 : 6063 670 236 96 77 \n", - "10 : 6106 650 231 79 76 \n", - "11 : 6086 645 245 92 74 \n", - "12 : 6102 639 229 91 81 \n", - "13 : 6100 651 241 84 78 \n", + "0 : 5889 773 263 112 105 \n", + "1 : 5886 767 284 107 98 \n", + "2 : 5920 738 283 96 105 \n", + "3 : 5961 738 258 100 85 \n", + "4 : 5937 706 279 118 102 \n", + "5 : 5918 764 257 99 104 \n", + "6 : 5864 768 267 119 124 \n", + "7 : 5867 786 284 86 119 \n", + "8 : 5933 724 265 114 106 \n", + "9 : 5907 756 259 101 119 \n", + "10 : 5829 796 262 125 130 \n", + "11 : 5860 789 267 99 127 \n", + "12 : 5847 804 289 97 105 \n", + "13 : 5937 754 257 103 103 \n", "\n", - "T : 85394 9131 3255 1124 1096 [100000]\n", + "T : 82555 10663 3774 1476 1532 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.1%\n", - "--- Adj/Tot = 1.4%\n", - "--- Update = 1.1562e-02 sec\n", - "--- Collate = 1.0105e-04 sec\n", + "--- Coef/DT = 4.2%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 1.0468e-02 sec\n", + "--- Collate = 5.8282e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.108819e-06 < 6.250000e-03 [661]\n", - "--- Max DT=3.596767e-01 > 1.000000e-01 [67399]\n", + "--- Min DT=1.515760e-06 < 6.250000e-03 [882]\n", + "--- Max DT=6.561184e-01 > 1.000000e-01 [68932]\n", "----------------------------------------------------------------------\n", - " Component | low: 661/100000\n", - " Component | high: 67399/100000\n", + " Component | low: 882/100000\n", + " Component | high: 68932/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=53.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00124137 [ 0.76 %]\n", - "Velocity : 0.00377441 [ 2.30 %]\n", - "Force : 0.0590516 [ 36.05 %]\n", - "Coefs : 0.0244475 [ 14.93 %]\n", - "Output : 0.00101857 [ 0.62 %]\n", - "Levels : 0.000285794 [ 0.17 %]\n", - "Report : 8.67e-07 [ 0.00 %]\n", - "Balance : 2.66e-07 [ 0.00 %]\n", - "Adjust : 0.0739049 [ 45.12 %]\n", - "Total : 0.163789 [100.00 %]\n", + "Drift : 0.000549211 [ 0.38 %]\n", + "Velocity : 0.00151129 [ 1.05 %]\n", + "Force : 0.0523347 [ 36.39 %]\n", + "Coefs : 0.0232244 [ 16.15 %]\n", + "Output : 0.00065495 [ 0.46 %]\n", + "Levels : 0.00019233 [ 0.13 %]\n", + "Report : 5.09e-07 [ 0.00 %]\n", + "Balance : 4.22e-07 [ 0.00 %]\n", + "Adjust : 0.0652933 [ 45.41 %]\n", + "Total : 0.143797 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6150 588 227 83 94 \n", - "1 : 6116 644 234 84 64 \n", - "2 : 6079 682 239 59 83 \n", - "3 : 6078 667 246 72 79 \n", - "4 : 6074 642 272 82 72 \n", - "5 : 6089 680 199 91 83 \n", - "6 : 6085 682 225 80 70 \n", - "7 : 6081 668 225 76 92 \n", - "8 : 6134 660 202 80 66 \n", - "9 : 6061 663 248 91 79 \n", - "10 : 6106 644 240 81 71 \n", - "11 : 6086 640 249 93 74 \n", - "12 : 6097 647 222 94 82 \n", - "13 : 6097 651 244 85 77 \n", + "0 : 5880 783 265 107 107 \n", + "1 : 5882 775 285 102 98 \n", + "2 : 5924 738 279 99 102 \n", + "3 : 5957 743 257 104 81 \n", + "4 : 5936 707 287 108 104 \n", + "5 : 5916 769 256 100 101 \n", + "6 : 5859 777 262 115 129 \n", + "7 : 5868 779 293 100 102 \n", + "8 : 5939 719 265 118 101 \n", + "9 : 5901 758 264 97 122 \n", + "10 : 5832 797 260 128 125 \n", + "11 : 5858 790 268 100 126 \n", + "12 : 5841 812 294 96 99 \n", + "13 : 5937 750 266 98 103 \n", "\n", - "T : 85333 9158 3272 1151 1086 [100000]\n", + "T : 82530 10697 3801 1472 1500 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 1.2290e-02 sec\n", - "--- Collate = 1.9833e-04 sec\n", + "--- Coef/DT = 3.8%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 1.0476e-02 sec\n", + "--- Collate = 6.1667e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.521076e-06 < 6.250000e-03 [659]\n", - "--- Max DT=3.597630e-01 > 1.000000e-01 [67396]\n", + "--- Min DT=4.188346e-06 < 6.250000e-03 [875]\n", + "--- Max DT=6.618575e-01 > 1.000000e-01 [68924]\n", "----------------------------------------------------------------------\n", - " Component | low: 659/100000\n", - " Component | high: 67396/100000\n", + " Component | low: 875/100000\n", + " Component | high: 68924/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=53.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000838473 [ 0.51 %]\n", - "Velocity : 0.00402837 [ 2.43 %]\n", - "Force : 0.0599577 [ 36.13 %]\n", - "Coefs : 0.024891 [ 15.00 %]\n", - "Output : 0.00105121 [ 0.63 %]\n", - "Levels : 0.000228021 [ 0.14 %]\n", - "Report : 1.042e-06 [ 0.00 %]\n", - "Balance : 3.91e-07 [ 0.00 %]\n", - "Adjust : 0.0748976 [ 45.13 %]\n", - "Total : 0.165953 [100.00 %]\n", + "Drift : 0.000540675 [ 0.38 %]\n", + "Velocity : 0.00157876 [ 1.10 %]\n", + "Force : 0.0525933 [ 36.58 %]\n", + "Coefs : 0.0232714 [ 16.18 %]\n", + "Output : 0.000634069 [ 0.44 %]\n", + "Levels : 0.00016389 [ 0.11 %]\n", + "Report : 1.038e-06 [ 0.00 %]\n", + "Balance : 4.47e-07 [ 0.00 %]\n", + "Adjust : 0.0649727 [ 45.18 %]\n", + "Total : 0.143794 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6145 595 224 85 93 \n", - "1 : 6106 657 231 83 65 \n", - "2 : 6072 690 242 58 80 \n", - "3 : 6074 675 237 76 80 \n", - "4 : 6076 638 268 84 76 \n", - "5 : 6086 684 200 85 87 \n", - "6 : 6083 684 224 77 74 \n", - "7 : 6071 675 226 81 89 \n", - "8 : 6138 656 204 77 67 \n", - "9 : 6059 663 251 85 84 \n", - "10 : 6103 653 231 80 75 \n", - "11 : 6087 639 254 90 72 \n", - "12 : 6095 650 227 86 84 \n", - "13 : 6095 663 241 82 73 \n", + "0 : 5879 782 266 105 110 \n", + "1 : 5884 776 277 100 105 \n", + "2 : 5919 739 289 95 100 \n", + "3 : 5957 745 258 102 80 \n", + "4 : 5929 720 292 103 98 \n", + "5 : 5922 764 263 92 101 \n", + "6 : 5856 784 253 126 123 \n", + "7 : 5870 781 288 96 107 \n", + "8 : 5937 722 256 129 98 \n", + "9 : 5906 746 275 98 117 \n", + "10 : 5834 802 257 124 125 \n", + "11 : 5859 792 274 102 115 \n", + "12 : 5838 814 290 98 102 \n", + "13 : 5937 747 267 92 111 \n", "\n", - "T : 85290 9222 3260 1129 1099 [100000]\n", + "T : 82527 10714 3805 1462 1492 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.4%\n", - "--- Adj/Tot = 1.4%\n", - "--- Update = 1.2583e-02 sec\n", - "--- Collate = 8.9391e-05 sec\n", + "--- Coef/DT = 3.2%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 1.0514e-02 sec\n", + "--- Collate = 6.7604e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.441613e-07 < 6.250000e-03 [636]\n", - "--- Max DT=3.598459e-01 > 1.000000e-01 [67397]\n", + "--- Min DT=1.466402e-05 < 6.250000e-03 [882]\n", + "--- Max DT=6.676037e-01 > 1.000000e-01 [68927]\n", "----------------------------------------------------------------------\n", - " Component | low: 636/100000\n", - " Component | high: 67397/100000\n", + " Component | low: 882/100000\n", + " Component | high: 68927/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=53.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00117647 [ 0.72 %]\n", - "Velocity : 0.00370914 [ 2.28 %]\n", - "Force : 0.0594908 [ 36.52 %]\n", - "Coefs : 0.0240284 [ 14.75 %]\n", - "Output : 0.000991059 [ 0.61 %]\n", - "Levels : 0.00028484 [ 0.17 %]\n", - "Report : 8.85e-07 [ 0.00 %]\n", - "Balance : 3.54e-07 [ 0.00 %]\n", - "Adjust : 0.0731659 [ 44.91 %]\n", - "Total : 0.162906 [100.00 %]\n", + "Drift : 0.000528629 [ 0.37 %]\n", + "Velocity : 0.00156647 [ 1.09 %]\n", + "Force : 0.0515573 [ 35.88 %]\n", + "Coefs : 0.0232517 [ 16.18 %]\n", + "Output : 0.000660415 [ 0.46 %]\n", + "Levels : 0.000169931 [ 0.12 %]\n", + "Report : 1.221e-06 [ 0.00 %]\n", + "Balance : 3.39e-07 [ 0.00 %]\n", + "Adjust : 0.0659406 [ 45.88 %]\n", + "Total : 0.143709 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6129 615 220 90 88 \n", - "1 : 6105 660 224 83 70 \n", - "2 : 6069 690 239 64 80 \n", - "3 : 6074 670 240 75 83 \n", - "4 : 6071 644 262 89 76 \n", - "5 : 6082 683 209 84 84 \n", - "6 : 6078 683 225 84 72 \n", - "7 : 6068 681 227 78 88 \n", - "8 : 6133 660 207 72 70 \n", - "9 : 6060 657 252 87 86 \n", - "10 : 6100 652 231 90 69 \n", - "11 : 6082 647 254 82 77 \n", - "12 : 6089 660 225 85 83 \n", - "13 : 6094 660 251 77 72 \n", + "0 : 5882 779 273 103 105 \n", + "1 : 5879 785 271 97 110 \n", + "2 : 5926 729 289 95 103 \n", + "3 : 5960 749 248 101 84 \n", + "4 : 5929 718 289 104 102 \n", + "5 : 5912 778 254 101 97 \n", + "6 : 5863 777 265 125 112 \n", + "7 : 5874 775 286 104 103 \n", + "8 : 5933 725 258 127 99 \n", + "9 : 5903 746 284 91 118 \n", + "10 : 5830 812 250 112 138 \n", + "11 : 5861 793 271 99 118 \n", + "12 : 5838 815 295 85 109 \n", + "13 : 5935 753 264 88 114 \n", "\n", - "T : 85234 9262 3266 1140 1098 [100000]\n", + "T : 82525 10734 3797 1432 1512 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.0%\n", - "--- Adj/Tot = 1.5%\n", - "--- Update = 1.3067e-02 sec\n", - "--- Collate = 8.6068e-05 sec\n", + "--- Coef/DT = 3.8%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 1.0219e-02 sec\n", + "--- Collate = 6.3655e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.879531e-07 < 6.250000e-03 [639]\n", - "--- Max DT=3.638158e-01 > 1.000000e-01 [67428]\n", + "--- Min DT=7.426229e-06 < 6.250000e-03 [876]\n", + "--- Max DT=6.733571e-01 > 1.000000e-01 [68923]\n", "----------------------------------------------------------------------\n", - " Component | low: 639/100000\n", - " Component | high: 67428/100000\n", + " Component | low: 876/100000\n", + " Component | high: 68923/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=53.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0011301 [ 0.68 %]\n", - "Velocity : 0.00373713 [ 2.24 %]\n", - "Force : 0.0626118 [ 37.45 %]\n", - "Coefs : 0.0254707 [ 15.23 %]\n", - "Output : 0.00110419 [ 0.66 %]\n", - "Levels : 0.000251849 [ 0.15 %]\n", - "Report : 1.072e-06 [ 0.00 %]\n", - "Balance : 3.96e-07 [ 0.00 %]\n", - "Adjust : 0.0728192 [ 43.55 %]\n", - "Total : 0.167191 [100.00 %]\n", + "Drift : 0.000530796 [ 0.37 %]\n", + "Velocity : 0.00157655 [ 1.10 %]\n", + "Force : 0.0523558 [ 36.49 %]\n", + "Coefs : 0.0235165 [ 16.39 %]\n", + "Output : 0.000600778 [ 0.42 %]\n", + "Levels : 0.000149324 [ 0.10 %]\n", + "Report : 6.51e-07 [ 0.00 %]\n", + "Balance : 3.44e-07 [ 0.00 %]\n", + "Adjust : 0.0646962 [ 45.10 %]\n", + "Total : 0.143465 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6125 621 218 83 95 \n", - "1 : 6105 665 213 93 66 \n", - "2 : 6069 685 239 69 80 \n", - "3 : 6074 666 241 78 83 \n", - "4 : 6063 648 255 100 76 \n", - "5 : 6071 690 214 79 88 \n", - "6 : 6075 685 219 82 81 \n", - "7 : 6069 676 228 85 84 \n", - "8 : 6121 671 209 77 64 \n", - "9 : 6049 669 247 93 84 \n", - "10 : 6097 649 239 88 69 \n", - "11 : 6081 642 269 76 74 \n", - "12 : 6088 664 225 80 85 \n", - "13 : 6095 650 257 79 73 \n", + "0 : 5889 772 275 103 103 \n", + "1 : 5883 788 263 94 114 \n", + "2 : 5923 737 270 109 103 \n", + "3 : 5953 758 243 101 87 \n", + "4 : 5932 720 292 94 104 \n", + "5 : 5917 777 250 101 97 \n", + "6 : 5865 778 256 119 124 \n", + "7 : 5886 755 292 103 106 \n", + "8 : 5929 730 266 113 104 \n", + "9 : 5900 748 287 90 117 \n", + "10 : 5828 809 258 110 137 \n", + "11 : 5861 796 273 87 125 \n", + "12 : 5837 823 289 87 106 \n", + "13 : 5935 746 266 93 114 \n", "\n", - "T : 85182 9281 3273 1162 1102 [100000]\n", + "T : 82538 10737 3780 1404 1541 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.5%\n", + "--- Coef/DT = 3.4%\n", "--- Adj/Tot = 1.5%\n", - "--- Update = 2.1851e-02 sec\n", - "--- Collate = 1.0139e-04 sec\n", + "--- Update = 1.0264e-02 sec\n", + "--- Collate = 8.4240e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.315287e-07 < 6.250000e-03 [640]\n", - "--- Max DT=3.690387e-01 > 1.000000e-01 [67436]\n", + "--- Min DT=1.380131e-06 < 6.250000e-03 [876]\n", + "--- Max DT=6.791176e-01 > 1.000000e-01 [68911]\n", "----------------------------------------------------------------------\n", - " Component | low: 640/100000\n", - " Component | high: 67436/100000\n", + " Component | low: 876/100000\n", + " Component | high: 68911/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=53.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00136527 [ 0.67 %]\n", - "Velocity : 0.00410965 [ 2.03 %]\n", - "Force : 0.0692453 [ 34.16 %]\n", - "Coefs : 0.0329077 [ 16.23 %]\n", - "Output : 0.000985565 [ 0.49 %]\n", - "Levels : 0.000283886 [ 0.14 %]\n", - "Report : 1.196e-06 [ 0.00 %]\n", - "Balance : 3.13e-07 [ 0.00 %]\n", - "Adjust : 0.0937824 [ 46.26 %]\n", - "Total : 0.202734 [100.00 %]\n", + "Drift : 0.000509788 [ 0.35 %]\n", + "Velocity : 0.0016064 [ 1.11 %]\n", + "Force : 0.0526981 [ 36.39 %]\n", + "Coefs : 0.0233151 [ 16.10 %]\n", + "Output : 0.000648363 [ 0.45 %]\n", + "Levels : 0.000205849 [ 0.14 %]\n", + "Report : 1.012e-06 [ 0.00 %]\n", + "Balance : 4.28e-07 [ 0.00 %]\n", + "Adjust : 0.065783 [ 45.43 %]\n", + "Total : 0.144806 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6120 618 227 83 94 \n", - "1 : 6105 664 214 93 66 \n", - "2 : 6063 696 239 67 77 \n", - "3 : 6070 665 246 80 81 \n", - "4 : 6049 660 249 103 81 \n", - "5 : 6068 692 220 78 84 \n", - "6 : 6070 679 231 87 75 \n", - "7 : 6061 679 241 73 88 \n", - "8 : 6118 676 208 78 62 \n", - "9 : 6049 669 253 84 87 \n", - "10 : 6100 645 241 82 74 \n", - "11 : 6075 648 270 72 77 \n", - "12 : 6080 672 219 80 91 \n", - "13 : 6092 660 249 82 71 \n", + "0 : 5885 778 271 109 99 \n", + "1 : 5887 791 263 87 114 \n", + "2 : 5919 738 281 96 108 \n", + "3 : 5955 761 236 101 89 \n", + "4 : 5930 725 288 98 101 \n", + "5 : 5918 769 255 104 96 \n", + "6 : 5864 781 253 118 126 \n", + "7 : 5881 761 287 108 105 \n", + "8 : 5927 734 264 104 113 \n", + "9 : 5900 744 285 101 112 \n", + "10 : 5831 806 263 109 133 \n", + "11 : 5861 793 277 95 116 \n", + "12 : 5835 832 284 90 101 \n", + "13 : 5939 750 251 99 115 \n", "\n", - "T : 85120 9323 3307 1142 1108 [100000]\n", + "T : 82532 10763 3758 1419 1528 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.1%\n", - "--- Adj/Tot = 1.4%\n", - "--- Update = 1.1435e-02 sec\n", - "--- Collate = 8.8359e-05 sec\n", + "--- Coef/DT = 3.2%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 1.0473e-02 sec\n", + "--- Collate = 7.9517e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.800404e-06 < 6.250000e-03 [620]\n", - "--- Max DT=3.742730e-01 > 1.000000e-01 [67433]\n", + "--- Min DT=2.934064e-06 < 6.250000e-03 [883]\n", + "--- Max DT=6.848851e-01 > 1.000000e-01 [68931]\n", "----------------------------------------------------------------------\n", - " Component | low: 620/100000\n", - " Component | high: 67433/100000\n", + " Component | low: 883/100000\n", + " Component | high: 68931/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=53.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00195091 [ 0.55 %]\n", - "Velocity : 0.00436077 [ 1.22 %]\n", - "Force : 0.116178 [ 32.58 %]\n", - "Coefs : 0.106247 [ 29.80 %]\n", - "Output : 0.00148687 [ 0.42 %]\n", - "Levels : 0.000267184 [ 0.07 %]\n", - "Report : 1.847e-06 [ 0.00 %]\n", - "Balance : 4.59e-07 [ 0.00 %]\n", - "Adjust : 0.12603 [ 35.34 %]\n", - "Total : 0.356582 [100.00 %]\n", + "Drift : 0.00053354 [ 0.37 %]\n", + "Velocity : 0.00152519 [ 1.07 %]\n", + "Force : 0.0519842 [ 36.45 %]\n", + "Coefs : 0.0235328 [ 16.50 %]\n", + "Output : 0.000583693 [ 0.41 %]\n", + "Levels : 0.00018132 [ 0.13 %]\n", + "Report : 6.48e-07 [ 0.00 %]\n", + "Balance : 4.09e-07 [ 0.00 %]\n", + "Adjust : 0.0642428 [ 45.05 %]\n", + "Total : 0.142619 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6115 625 229 81 92 \n", - "1 : 6104 672 209 89 68 \n", - "2 : 6063 692 241 69 77 \n", - "3 : 6073 657 251 83 78 \n", - "4 : 6045 663 249 111 74 \n", - "5 : 6069 692 221 78 82 \n", - "6 : 6071 676 231 92 72 \n", - "7 : 6061 680 238 78 85 \n", - "8 : 6116 679 208 78 61 \n", - "9 : 6045 676 245 84 92 \n", - "10 : 6102 647 239 85 69 \n", - "11 : 6071 656 266 76 73 \n", - "12 : 6079 674 210 88 91 \n", - "13 : 6088 672 246 69 79 \n", + "0 : 5883 782 266 114 97 \n", + "1 : 5888 788 264 98 104 \n", + "2 : 5921 734 283 99 105 \n", + "3 : 5958 766 235 94 89 \n", + "4 : 5927 724 291 100 100 \n", + "5 : 5914 768 258 98 104 \n", + "6 : 5861 782 247 136 116 \n", + "7 : 5882 760 289 107 104 \n", + "8 : 5923 735 263 116 105 \n", + "9 : 5903 740 283 105 111 \n", + "10 : 5826 812 257 114 133 \n", + "11 : 5863 798 268 104 109 \n", + "12 : 5838 830 283 96 95 \n", + "13 : 5943 755 238 100 118 \n", "\n", - "T : 85102 9361 3283 1161 1093 [100000]\n", + "T : 82530 10774 3725 1481 1490 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.9%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 1.0649e-02 sec\n", - "--- Collate = 8.4827e-05 sec\n", + "--- Coef/DT = 2.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 1.0454e-02 sec\n", + "--- Collate = 6.1064e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.535603e-05 < 6.250000e-03 [623]\n", - "--- Max DT=3.795188e-01 > 1.000000e-01 [67426]\n", + "--- Min DT=1.784572e-08 < 6.250000e-03 [887]\n", + "--- Max DT=6.906596e-01 > 1.000000e-01 [68962]\n", "----------------------------------------------------------------------\n", - " Component | low: 623/100000\n", - " Component | high: 67426/100000\n", + " Component | low: 887/100000\n", + " Component | high: 68962/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=53.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000969388 [ 0.49 %]\n", - "Velocity : 0.00431483 [ 2.18 %]\n", - "Force : 0.0795423 [ 40.17 %]\n", - "Coefs : 0.0358494 [ 18.10 %]\n", - "Output : 0.00109599 [ 0.55 %]\n", - "Levels : 0.000269339 [ 0.14 %]\n", - "Report : 1.128e-06 [ 0.00 %]\n", - "Balance : 2.86e-07 [ 0.00 %]\n", - "Adjust : 0.0759185 [ 38.34 %]\n", - "Total : 0.198019 [100.00 %]\n", + "Drift : 0.000504972 [ 0.35 %]\n", + "Velocity : 0.00149426 [ 1.04 %]\n", + "Force : 0.0526239 [ 36.60 %]\n", + "Coefs : 0.0235798 [ 16.40 %]\n", + "Output : 0.00057992 [ 0.40 %]\n", + "Levels : 0.000136255 [ 0.09 %]\n", + "Report : 8.42e-07 [ 0.00 %]\n", + "Balance : 1.66e-07 [ 0.00 %]\n", + "Adjust : 0.064823 [ 45.08 %]\n", + "Total : 0.143781 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6108 631 228 88 87 \n", - "1 : 6094 678 213 88 69 \n", - "2 : 6066 694 231 75 76 \n", - "3 : 6058 666 252 90 76 \n", - "4 : 6042 661 256 100 83 \n", - "5 : 6068 694 224 81 75 \n", - "6 : 6065 679 236 90 72 \n", - "7 : 6056 686 228 90 82 \n", - "8 : 6118 673 205 84 62 \n", - "9 : 6048 682 232 88 92 \n", - "10 : 6104 632 253 81 72 \n", - "11 : 6072 659 261 81 69 \n", - "12 : 6073 675 216 84 94 \n", - "13 : 6094 669 240 65 86 \n", + "0 : 5883 782 265 120 92 \n", + "1 : 5889 792 257 105 99 \n", + "2 : 5926 733 272 102 109 \n", + "3 : 5953 764 240 100 85 \n", + "4 : 5928 725 289 97 103 \n", + "5 : 5917 765 253 101 106 \n", + "6 : 5863 779 247 140 113 \n", + "7 : 5880 755 305 90 112 \n", + "8 : 5920 734 273 113 102 \n", + "9 : 5905 736 287 104 110 \n", + "10 : 5825 810 264 112 131 \n", + "11 : 5867 801 259 107 108 \n", + "12 : 5838 821 294 94 95 \n", + "13 : 5940 766 230 101 117 \n", "\n", - "T : 85066 9379 3275 1185 1095 [100000]\n", + "T : 82534 10763 3735 1486 1482 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.0%\n", + "--- Coef/DT = 3.8%\n", "--- Adj/Tot = 1.5%\n", - "--- Update = 1.3412e-02 sec\n", - "--- Collate = 9.1858e-05 sec\n", + "--- Update = 9.9172e-03 sec\n", + "--- Collate = 6.0710e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.755037e-06 < 6.250000e-03 [630]\n", - "--- Max DT=3.847757e-01 > 1.000000e-01 [67414]\n", + "--- Min DT=3.805169e-06 < 6.250000e-03 [856]\n", + "--- Max DT=6.964411e-01 > 1.000000e-01 [68965]\n", "----------------------------------------------------------------------\n", - " Component | low: 630/100000\n", - " Component | high: 67414/100000\n", + " Component | low: 856/100000\n", + " Component | high: 68965/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=54] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0012872 [ 0.72 %]\n", - "Velocity : 0.00396802 [ 2.23 %]\n", - "Force : 0.0616319 [ 34.70 %]\n", - "Coefs : 0.0263909 [ 14.86 %]\n", - "Output : 0.00820244 [ 4.62 %]\n", - "Levels : 0.000250063 [ 0.14 %]\n", - "Report : 1.691e-06 [ 0.00 %]\n", - "Balance : 6.38e-07 [ 0.00 %]\n", - "Adjust : 0.0758086 [ 42.68 %]\n", - "Total : 0.177618 [100.00 %]\n", + "Drift : 0.000503577 [ 0.35 %]\n", + "Velocity : 0.00152707 [ 1.07 %]\n", + "Force : 0.0486932 [ 33.99 %]\n", + "Coefs : 0.0225345 [ 15.73 %]\n", + "Output : 0.00442823 [ 3.09 %]\n", + "Levels : 0.000141487 [ 0.10 %]\n", + "Report : 9.71e-07 [ 0.00 %]\n", + "Balance : 3.23e-07 [ 0.00 %]\n", + "Adjust : 0.0653779 [ 45.64 %]\n", + "Total : 0.143248 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6101 638 226 91 86 \n", - "1 : 6091 684 209 86 72 \n", - "2 : 6058 698 230 80 76 \n", - "3 : 6052 679 247 85 79 \n", - "4 : 6038 663 249 105 87 \n", - "5 : 6066 696 223 79 78 \n", - "6 : 6058 678 249 85 72 \n", - "7 : 6052 689 232 85 84 \n", - "8 : 6119 668 212 75 68 \n", - "9 : 6043 684 232 94 89 \n", - "10 : 6103 632 257 76 74 \n", - "11 : 6071 658 265 75 73 \n", - "12 : 6066 686 220 73 97 \n", - "13 : 6092 669 241 69 83 \n", + "0 : 5882 789 261 115 95 \n", + "1 : 5892 794 246 114 96 \n", + "2 : 5929 731 271 107 104 \n", + "3 : 5957 761 239 100 85 \n", + "4 : 5930 730 279 98 105 \n", + "5 : 5920 761 254 99 108 \n", + "6 : 5862 779 254 134 113 \n", + "7 : 5883 755 303 92 109 \n", + "8 : 5915 743 271 109 104 \n", + "9 : 5909 723 293 104 113 \n", + "10 : 5822 814 265 119 122 \n", + "11 : 5870 787 263 120 102 \n", + "12 : 5842 824 284 94 98 \n", + "13 : 5938 768 222 109 117 \n", "\n", - "T : 85010 9422 3292 1158 1118 [100000]\n", + "T : 82551 10759 3705 1514 1471 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", + "--- Coef/DT = 3.0%\n", "--- Adj/Tot = 1.5%\n", - "--- Update = 1.4415e-02 sec\n", - "--- Collate = 2.1166e-04 sec\n", + "--- Update = 1.0363e-02 sec\n", + "--- Collate = 6.8267e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.097535e-05 < 6.250000e-03 [640]\n", - "--- Max DT=3.900438e-01 > 1.000000e-01 [67414]\n", + "--- Min DT=9.349360e-06 < 6.250000e-03 [845]\n", + "--- Max DT=7.022294e-01 > 1.000000e-01 [69002]\n", "----------------------------------------------------------------------\n", - " Component | low: 640/100000\n", - " Component | high: 67414/100000\n", + " Component | low: 845/100000\n", + " Component | high: 69002/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=54.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00217171 [ 0.85 %]\n", - "Velocity : 0.00410737 [ 1.60 %]\n", - "Force : 0.0884818 [ 34.48 %]\n", - "Coefs : 0.0284208 [ 11.08 %]\n", - "Output : 0.00141408 [ 0.55 %]\n", - "Levels : 0.000267118 [ 0.10 %]\n", - "Report : 9.43e-07 [ 0.00 %]\n", - "Balance : 3.7e-07 [ 0.00 %]\n", - "Adjust : 0.131691 [ 51.32 %]\n", - "Total : 0.256618 [100.00 %]\n", + "Drift : 0.000616123 [ 0.45 %]\n", + "Velocity : 0.00222977 [ 1.63 %]\n", + "Force : 0.0483424 [ 35.32 %]\n", + "Coefs : 0.0205828 [ 15.04 %]\n", + "Output : 0.000887069 [ 0.65 %]\n", + "Levels : 0.000209699 [ 0.15 %]\n", + "Report : 1.455e-06 [ 0.00 %]\n", + "Balance : 5.61e-07 [ 0.00 %]\n", + "Adjust : 0.0639372 [ 46.72 %]\n", + "Total : 0.136855 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6094 646 224 93 85 \n", - "1 : 6096 684 203 86 73 \n", - "2 : 6064 685 232 84 77 \n", - "3 : 6039 691 250 80 82 \n", - "4 : 6036 677 234 107 88 \n", - "5 : 6065 699 221 77 80 \n", - "6 : 6057 682 243 90 70 \n", - "7 : 6050 693 235 78 86 \n", - "8 : 6112 674 214 76 66 \n", - "9 : 6045 686 230 87 94 \n", - "10 : 6100 633 261 75 73 \n", - "11 : 6059 673 257 85 68 \n", - "12 : 6061 690 222 71 98 \n", - "13 : 6089 669 246 67 83 \n", + "0 : 5881 792 257 117 95 \n", + "1 : 5894 784 252 116 96 \n", + "2 : 5921 752 260 106 103 \n", + "3 : 5958 755 240 97 92 \n", + "4 : 5924 746 271 97 104 \n", + "5 : 5918 760 254 106 104 \n", + "6 : 5862 783 250 132 115 \n", + "7 : 5881 758 296 96 111 \n", + "8 : 5912 747 273 101 109 \n", + "9 : 5906 732 279 121 104 \n", + "10 : 5824 808 268 124 118 \n", + "11 : 5870 780 278 104 110 \n", + "12 : 5844 820 283 95 100 \n", + "13 : 5940 766 215 128 105 \n", "\n", - "T : 84967 9482 3272 1156 1123 [100000]\n", + "T : 82535 10783 3676 1540 1466 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.5%\n", - "--- Adj/Tot = 1.5%\n", - "--- Update = 1.5730e-02 sec\n", - "--- Collate = 9.2609e-05 sec\n", + "--- Coef/DT = 3.3%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 1.0042e-02 sec\n", + "--- Collate = 6.8789e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.756469e-06 < 6.250000e-03 [637]\n", - "--- Max DT=3.953229e-01 > 1.000000e-01 [67401]\n", + "--- Min DT=1.357268e-05 < 6.250000e-03 [843]\n", + "--- Max DT=7.080246e-01 > 1.000000e-01 [68996]\n", "----------------------------------------------------------------------\n", - " Component | low: 637/100000\n", - " Component | high: 67401/100000\n", + " Component | low: 843/100000\n", + " Component | high: 68996/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=54.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00109497 [ 0.35 %]\n", - "Velocity : 0.00410942 [ 1.31 %]\n", - "Force : 0.0737943 [ 23.52 %]\n", - "Coefs : 0.11889 [ 37.89 %]\n", - "Output : 0.00136565 [ 0.44 %]\n", - "Levels : 0.000502685 [ 0.16 %]\n", - "Report : 2.369e-06 [ 0.00 %]\n", - "Balance : 1.294e-06 [ 0.00 %]\n", - "Adjust : 0.113974 [ 36.32 %]\n", - "Total : 0.313792 [100.00 %]\n", + "Drift : 0.000628938 [ 0.45 %]\n", + "Velocity : 0.00216467 [ 1.56 %]\n", + "Force : 0.049122 [ 35.47 %]\n", + "Coefs : 0.0202149 [ 14.60 %]\n", + "Output : 0.000838823 [ 0.61 %]\n", + "Levels : 0.000232643 [ 0.17 %]\n", + "Report : 1.149e-06 [ 0.00 %]\n", + "Balance : 5.2e-07 [ 0.00 %]\n", + "Adjust : 0.0652494 [ 47.11 %]\n", + "Total : 0.138502 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6087 659 223 91 82 \n", - "1 : 6091 696 197 83 75 \n", - "2 : 6055 699 226 87 75 \n", - "3 : 6041 685 256 79 81 \n", - "4 : 6034 682 239 95 92 \n", - "5 : 6062 703 224 78 75 \n", - "6 : 6054 683 247 87 71 \n", - "7 : 6046 698 231 86 81 \n", - "8 : 6111 667 214 80 70 \n", - "9 : 6039 694 224 87 98 \n", - "10 : 6098 634 266 75 69 \n", - "11 : 6055 678 253 84 72 \n", - "12 : 6060 694 219 73 96 \n", - "13 : 6084 671 251 64 84 \n", + "0 : 5875 799 255 115 98 \n", + "1 : 5894 784 252 110 102 \n", + "2 : 5919 754 256 109 104 \n", + "3 : 5952 761 234 99 96 \n", + "4 : 5923 742 274 101 102 \n", + "5 : 5907 761 260 115 99 \n", + "6 : 5852 794 254 132 110 \n", + "7 : 5890 761 276 107 108 \n", + "8 : 5912 752 264 104 110 \n", + "9 : 5903 739 282 112 106 \n", + "10 : 5820 811 271 124 116 \n", + "11 : 5866 782 281 105 108 \n", + "12 : 5842 815 284 104 97 \n", + "13 : 5934 773 221 122 104 \n", "\n", - "T : 84917 9543 3270 1149 1121 [100000]\n", + "T : 82489 10828 3664 1559 1460 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.6%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 2.4374e-02 sec\n", - "--- Collate = 7.4941e-05 sec\n", + "--- Coef/DT = 3.3%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 9.6707e-03 sec\n", + "--- Collate = 7.4283e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.332617e-06 < 6.250000e-03 [629]\n", - "--- Max DT=4.006128e-01 > 1.000000e-01 [67402]\n", + "--- Min DT=5.256913e-06 < 6.250000e-03 [874]\n", + "--- Max DT=7.138265e-01 > 1.000000e-01 [69023]\n", "----------------------------------------------------------------------\n", - " Component | low: 629/100000\n", - " Component | high: 67402/100000\n", + " Component | low: 874/100000\n", + " Component | high: 69023/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=54.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00165159 [ 0.83 %]\n", - "Velocity : 0.00276977 [ 1.39 %]\n", - "Force : 0.0713416 [ 35.71 %]\n", - "Coefs : 0.0273456 [ 13.69 %]\n", - "Output : 0.00153249 [ 0.77 %]\n", - "Levels : 0.000206737 [ 0.10 %]\n", - "Report : 1.142e-06 [ 0.00 %]\n", - "Balance : 4.75e-07 [ 0.00 %]\n", - "Adjust : 0.0948894 [ 47.49 %]\n", - "Total : 0.199801 [100.00 %]\n", + "Drift : 0.00054967 [ 0.40 %]\n", + "Velocity : 0.00177566 [ 1.29 %]\n", + "Force : 0.0487302 [ 35.35 %]\n", + "Coefs : 0.0209543 [ 15.20 %]\n", + "Output : 0.000619783 [ 0.45 %]\n", + "Levels : 0.000195428 [ 0.14 %]\n", + "Report : 8.85e-07 [ 0.00 %]\n", + "Balance : 6.1e-07 [ 0.00 %]\n", + "Adjust : 0.0649647 [ 47.13 %]\n", + "Total : 0.137836 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6084 670 216 88 84 \n", - "1 : 6083 706 193 81 79 \n", - "2 : 6043 705 233 86 75 \n", - "3 : 6033 705 245 86 73 \n", - "4 : 6026 681 246 97 92 \n", - "5 : 6058 704 229 74 77 \n", - "6 : 6053 682 249 85 73 \n", - "7 : 6046 705 225 84 82 \n", - "8 : 6103 677 206 85 71 \n", - "9 : 6040 689 226 89 98 \n", - "10 : 6091 645 264 68 74 \n", - "11 : 6047 681 255 91 68 \n", - "12 : 6055 701 213 82 91 \n", - "13 : 6087 672 244 69 82 \n", + "0 : 5874 803 252 111 102 \n", + "1 : 5899 784 253 109 97 \n", + "2 : 5923 756 250 107 106 \n", + "3 : 5943 770 232 97 100 \n", + "4 : 5925 732 274 111 100 \n", + "5 : 5903 757 270 118 94 \n", + "6 : 5852 800 252 129 109 \n", + "7 : 5895 755 277 108 107 \n", + "8 : 5909 764 252 105 112 \n", + "9 : 5900 741 286 99 116 \n", + "10 : 5825 806 273 127 111 \n", + "11 : 5867 787 270 116 102 \n", + "12 : 5842 814 280 106 100 \n", + "13 : 5931 769 229 119 106 \n", "\n", - "T : 84849 9623 3244 1165 1119 [100000]\n", + "T : 82488 10838 3650 1562 1462 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.0%\n", + "--- Coef/DT = 3.1%\n", "--- Adj/Tot = 1.4%\n", - "--- Update = 1.1024e-02 sec\n", - "--- Collate = 7.3045e-05 sec\n", + "--- Update = 1.0717e-02 sec\n", + "--- Collate = 6.4364e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.643584e-07 < 6.250000e-03 [643]\n", - "--- Max DT=4.059135e-01 > 1.000000e-01 [67391]\n", + "--- Min DT=1.422001e-06 < 6.250000e-03 [842]\n", + "--- Max DT=7.196352e-01 > 1.000000e-01 [69027]\n", "----------------------------------------------------------------------\n", - " Component | low: 643/100000\n", - " Component | high: 67391/100000\n", + " Component | low: 842/100000\n", + " Component | high: 69027/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=54.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000653928 [ 0.33 %]\n", - "Velocity : 0.00262674 [ 1.34 %]\n", - "Force : 0.0791099 [ 40.37 %]\n", - "Coefs : 0.035369 [ 18.05 %]\n", - "Output : 0.00154238 [ 0.79 %]\n", - "Levels : 0.000313467 [ 0.16 %]\n", - "Report : 1.49e-06 [ 0.00 %]\n", - "Balance : 8.16e-07 [ 0.00 %]\n", - "Adjust : 0.0762757 [ 38.93 %]\n", - "Total : 0.195951 [100.00 %]\n", + "Drift : 0.000617648 [ 0.44 %]\n", + "Velocity : 0.00224103 [ 1.59 %]\n", + "Force : 0.050258 [ 35.66 %]\n", + "Coefs : 0.0210477 [ 14.94 %]\n", + "Output : 0.000808484 [ 0.57 %]\n", + "Levels : 0.000194973 [ 0.14 %]\n", + "Report : 9.07e-07 [ 0.00 %]\n", + "Balance : 3.5e-07 [ 0.00 %]\n", + "Adjust : 0.0657073 [ 46.62 %]\n", + "Total : 0.140928 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6083 673 222 82 82 \n", - "1 : 6082 702 202 77 79 \n", - "2 : 6037 713 230 87 75 \n", - "3 : 6031 706 240 92 73 \n", - "4 : 6025 683 249 95 90 \n", - "5 : 6052 715 225 72 78 \n", - "6 : 6046 692 250 81 73 \n", - "7 : 6046 704 225 79 88 \n", - "8 : 6103 673 214 78 74 \n", - "9 : 6043 683 231 88 97 \n", - "10 : 6090 645 267 68 72 \n", - "11 : 6039 685 258 90 70 \n", - "12 : 6049 708 218 75 92 \n", - "13 : 6078 685 241 70 80 \n", + "0 : 5878 794 257 109 104 \n", + "1 : 5899 780 256 111 96 \n", + "2 : 5922 761 253 101 105 \n", + "3 : 5934 777 234 94 103 \n", + "4 : 5926 728 283 102 103 \n", + "5 : 5906 755 275 110 96 \n", + "6 : 5846 805 249 136 106 \n", + "7 : 5899 757 271 102 113 \n", + "8 : 5908 760 267 97 110 \n", + "9 : 5897 748 282 101 114 \n", + "10 : 5820 810 279 116 117 \n", + "11 : 5870 780 280 107 105 \n", + "12 : 5838 810 291 107 96 \n", + "13 : 5933 764 235 122 100 \n", "\n", - "T : 84804 9667 3272 1134 1123 [100000]\n", + "T : 82476 10829 3712 1515 1468 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.2%\n", - "--- Adj/Tot = 1.5%\n", - "--- Update = 1.1642e-02 sec\n", - "--- Collate = 7.2555e-05 sec\n", + "--- Coef/DT = 3.0%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 1.0534e-02 sec\n", + "--- Collate = 5.9240e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.720865e-06 < 6.250000e-03 [643]\n", - "--- Max DT=4.112249e-01 > 1.000000e-01 [67387]\n", + "--- Min DT=1.192063e-05 < 6.250000e-03 [849]\n", + "--- Max DT=7.254507e-01 > 1.000000e-01 [69041]\n", "----------------------------------------------------------------------\n", - " Component | low: 643/100000\n", - " Component | high: 67387/100000\n", + " Component | low: 849/100000\n", + " Component | high: 69041/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=54.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000865989 [ 0.53 %]\n", - "Velocity : 0.00363188 [ 2.24 %]\n", - "Force : 0.0592232 [ 36.45 %]\n", - "Coefs : 0.0249536 [ 15.36 %]\n", - "Output : 0.00150492 [ 0.93 %]\n", - "Levels : 0.000280521 [ 0.17 %]\n", - "Report : 1.298e-06 [ 0.00 %]\n", - "Balance : 1.739e-05 [ 0.01 %]\n", - "Adjust : 0.0719474 [ 44.28 %]\n", - "Total : 0.162491 [100.00 %]\n", + "Drift : 0.000508172 [ 0.35 %]\n", + "Velocity : 0.00153521 [ 1.06 %]\n", + "Force : 0.052621 [ 36.35 %]\n", + "Coefs : 0.0232927 [ 16.09 %]\n", + "Output : 0.000573982 [ 0.40 %]\n", + "Levels : 0.000141691 [ 0.10 %]\n", + "Report : 7.65e-07 [ 0.00 %]\n", + "Balance : 5.41e-07 [ 0.00 %]\n", + "Adjust : 0.0660424 [ 45.62 %]\n", + "Total : 0.144752 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6072 685 222 84 79 \n", - "1 : 6073 714 200 71 84 \n", - "2 : 6039 715 227 80 81 \n", - "3 : 6031 707 243 86 75 \n", - "4 : 6022 681 257 86 96 \n", - "5 : 6053 718 226 65 80 \n", - "6 : 6041 692 258 74 77 \n", - "7 : 6046 708 226 73 89 \n", - "8 : 6102 669 216 84 71 \n", - "9 : 6031 691 237 85 98 \n", - "10 : 6077 649 276 67 73 \n", - "11 : 6033 692 257 98 62 \n", - "12 : 6048 708 214 80 92 \n", - "13 : 6066 695 241 76 76 \n", + "0 : 5872 798 264 103 105 \n", + "1 : 5900 781 256 102 103 \n", + "2 : 5924 751 265 102 100 \n", + "3 : 5930 773 245 89 105 \n", + "4 : 5926 727 278 114 97 \n", + "5 : 5905 761 277 100 99 \n", + "6 : 5849 798 265 121 109 \n", + "7 : 5904 754 270 103 111 \n", + "8 : 5913 752 264 100 113 \n", + "9 : 5900 751 275 104 112 \n", + "10 : 5823 806 280 122 111 \n", + "11 : 5867 783 275 112 105 \n", + "12 : 5843 798 294 113 94 \n", + "13 : 5941 757 234 122 100 \n", "\n", - "T : 84734 9724 3300 1109 1133 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 82497 10790 3742 1507 1464 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 37.8%\n", - "--- Adj/Tot = 1.5%\n", - "--- Update = 1.3291e-02 sec\n", - "--- Collate = 1.1664e-04 sec\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 5.0785e-02 sec\n", + "--- Collate = 1.0141e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.206589e-07 < 6.250000e-03 [641]\n", - "--- Max DT=4.165467e-01 > 1.000000e-01 [67396]\n", + "--- Min DT=4.312601e-06 < 6.250000e-03 [21]\n", + "--- Max DT=3.036377e-01 > 1.000000e-01 [70164]\n", "----------------------------------------------------------------------\n", - " Component | low: 641/100000\n", - " Component | high: 67396/100000\n", + " Component | low: 21/100000\n", + " Component | high: 70164/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", - "--- Timer info [T=54.6] ----------------------------------------------\n", + "--- Timer info [T=0.3] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000905865 [ 0.56 %]\n", - "Velocity : 0.0028015 [ 1.74 %]\n", - "Force : 0.0591402 [ 36.67 %]\n", - "Coefs : 0.0240538 [ 14.92 %]\n", - "Output : 0.00158018 [ 0.98 %]\n", - "Levels : 0.000289131 [ 0.18 %]\n", - "Report : 1.324e-06 [ 0.00 %]\n", - "Balance : 4.77e-07 [ 0.00 %]\n", - "Adjust : 0.0724281 [ 44.91 %]\n", - "Total : 0.161268 [100.00 %]\n", + "Drift : 0.000297415 [ 0.01 %]\n", + "Velocity : 0.000944675 [ 0.03 %]\n", + "Force : 0.594833 [ 16.43 %]\n", + "Coefs : 2.3068 [ 63.73 %]\n", + "Output : 0.000672417 [ 0.02 %]\n", + "Levels : 0.000167566 [ 0.00 %]\n", + "Report : 3.27e-07 [ 0.00 %]\n", + "Balance : 1.88e-07 [ 0.00 %]\n", + "Adjust : 0.715914 [ 19.78 %]\n", + "Total : 3.61966 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6075 680 221 86 80 \n", - "1 : 6073 707 208 73 81 \n", - "2 : 6039 712 228 82 81 \n", - "3 : 6031 712 245 79 75 \n", - "4 : 6014 692 261 85 90 \n", - "5 : 6050 719 221 71 81 \n", - "6 : 6038 698 258 73 75 \n", - "7 : 6040 710 233 72 87 \n", - "8 : 6092 680 218 76 76 \n", - "9 : 6032 693 233 87 97 \n", - "10 : 6075 658 273 65 71 \n", - "11 : 6034 686 262 98 62 \n", - "12 : 6038 712 221 78 93 \n", - "13 : 6066 699 232 81 76 \n", + "0 : 6644 406 84 4 4 \n", + "1 : 6658 398 81 4 1 \n", + "2 : 6618 422 94 5 3 \n", + "3 : 6650 403 79 7 3 \n", + "4 : 6653 400 84 3 2 \n", + "5 : 6686 378 69 6 3 \n", + "6 : 6637 407 92 3 3 \n", + "7 : 6618 428 83 10 3 \n", + "8 : 6648 396 85 9 4 \n", + "9 : 6629 415 82 10 6 \n", + "10 : 6585 458 86 9 4 \n", + "11 : 6639 404 92 6 1 \n", + "12 : 6655 398 75 10 4 \n", + "13 : 6621 443 83 5 2 \n", "\n", - "T : 84697 9758 3314 1106 1125 [100000]\n", + "T : 92941 5756 1169 91 43 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.2%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 1.2692e-02 sec\n", - "--- Collate = 8.4068e-05 sec\n", + "--- Coef/DT = 0.2%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.4566e-02 sec\n", + "--- Collate = 1.0019e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.287664e-06 < 6.250000e-03 [652]\n", - "--- Max DT=4.218790e-01 > 1.000000e-01 [67363]\n", + "--- Min DT=4.912627e-05 < 6.250000e-03 [21]\n", + "--- Max DT=3.036179e-01 > 1.000000e-01 [70158]\n", "----------------------------------------------------------------------\n", - " Component | low: 652/100000\n", - " Component | high: 67363/100000\n", + " Component | low: 21/100000\n", + " Component | high: 70158/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", - "--- Timer info [T=54.7] ----------------------------------------------\n", + "--- Timer info [T=0.4] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000664048 [ 0.42 %]\n", - "Velocity : 0.00250881 [ 1.60 %]\n", - "Force : 0.0576786 [ 36.68 %]\n", - "Coefs : 0.0242306 [ 15.41 %]\n", - "Output : 0.00158699 [ 1.01 %]\n", - "Levels : 0.000294972 [ 0.19 %]\n", - "Report : 1.088e-06 [ 0.00 %]\n", - "Balance : 5.86e-07 [ 0.00 %]\n", - "Adjust : 0.0702013 [ 44.65 %]\n", - "Total : 0.15723 [100.00 %]\n", + "Drift : 0.000260204 [ 0.01 %]\n", + "Velocity : 0.00105042 [ 0.03 %]\n", + "Force : 0.609348 [ 18.42 %]\n", + "Coefs : 2.01027 [ 60.76 %]\n", + "Output : 0.000626656 [ 0.02 %]\n", + "Levels : 0.000159219 [ 0.00 %]\n", + "Report : 3.48e-07 [ 0.00 %]\n", + "Balance : 1.15e-07 [ 0.00 %]\n", + "Adjust : 0.686905 [ 20.76 %]\n", + "Total : 3.30865 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6061 692 220 86 83 \n", - "1 : 6070 705 215 72 80 \n", - "2 : 6033 725 222 79 83 \n", - "3 : 6029 715 235 85 78 \n", - "4 : 6010 699 255 82 96 \n", - "5 : 6046 722 224 77 73 \n", - "6 : 6032 710 248 82 70 \n", - "7 : 6031 723 227 81 80 \n", - "8 : 6099 679 208 82 74 \n", - "9 : 6026 700 231 88 97 \n", - "10 : 6074 659 265 77 67 \n", - "11 : 6032 691 261 94 64 \n", - "12 : 6036 711 225 80 90 \n", - "13 : 6060 707 226 86 75 \n", + "0 : 6642 408 84 3 5 \n", + "1 : 6658 397 80 5 2 \n", + "2 : 6620 420 94 6 2 \n", + "3 : 6651 403 78 7 3 \n", + "4 : 6653 399 84 5 1 \n", + "5 : 6686 378 70 4 4 \n", + "6 : 6638 407 91 3 3 \n", + "7 : 6619 427 83 10 3 \n", + "8 : 6651 392 85 11 3 \n", + "9 : 6628 416 82 9 7 \n", + "10 : 6584 459 86 9 4 \n", + "11 : 6640 403 91 6 2 \n", + "12 : 6654 399 76 9 4 \n", + "13 : 6621 443 83 5 2 \n", "\n", - "T : 84639 9838 3262 1151 1110 [100000]\n", + "T : 92945 5751 1167 92 45 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.6%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.3589e-02 sec\n", - "--- Collate = 6.5108e-05 sec\n", + "--- Coef/DT = 0.2%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 3.6693e-02 sec\n", + "--- Collate = 9.0119e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.489574e-05 < 6.250000e-03 [639]\n", - "--- Max DT=4.272217e-01 > 1.000000e-01 [67353]\n", + "--- Min DT=1.944373e-04 < 6.250000e-03 [23]\n", + "--- Max DT=3.035956e-01 > 1.000000e-01 [70155]\n", "----------------------------------------------------------------------\n", - " Component | low: 639/100000\n", - " Component | high: 67353/100000\n", + " Component | low: 23/100000\n", + " Component | high: 70155/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", - "--- Timer info [T=54.8] ----------------------------------------------\n", + "--- Timer info [T=0.5] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000787156 [ 0.45 %]\n", - "Velocity : 0.00261507 [ 1.50 %]\n", - "Force : 0.0652398 [ 37.50 %]\n", - "Coefs : 0.0272161 [ 15.64 %]\n", - "Output : 0.00152494 [ 0.88 %]\n", - "Levels : 0.000270194 [ 0.16 %]\n", - "Report : 1.354e-06 [ 0.00 %]\n", + "Drift : 0.000289594 [ 0.01 %]\n", + "Velocity : 0.000836027 [ 0.02 %]\n", + "Force : 0.56701 [ 14.63 %]\n", + "Coefs : 2.56196 [ 66.08 %]\n", + "Output : 0.000582743 [ 0.02 %]\n", + "Levels : 0.000152444 [ 0.00 %]\n", + "Report : 5.94e-07 [ 0.00 %]\n", + "Balance : 2.06e-07 [ 0.00 %]\n", + "Adjust : 0.745987 [ 19.24 %]\n", + "Total : 3.87684 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6644 406 84 3 5 \n", + "1 : 6657 398 79 5 3 \n", + "2 : 6620 420 94 5 3 \n", + "3 : 6651 403 79 6 3 \n", + "4 : 6652 400 83 6 1 \n", + "5 : 6685 379 70 5 3 \n", + "6 : 6637 408 92 2 3 \n", + "7 : 6621 426 84 9 2 \n", + "8 : 6650 393 85 9 5 \n", + "9 : 6628 416 82 8 8 \n", + "10 : 6583 461 85 10 3 \n", + "11 : 6639 404 91 6 2 \n", + "12 : 6654 399 78 7 4 \n", + "13 : 6621 443 83 5 2 \n", + "\n", + "T : 92942 5756 1169 86 47 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.2%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 6.6358e-02 sec\n", + "--- Collate = 6.9687e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.035292e-04 < 6.250000e-03 [17]\n", + "--- Max DT=3.035715e-01 > 1.000000e-01 [70145]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 70145/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=0.6] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000227672 [ 0.01 %]\n", + "Velocity : 0.0013319 [ 0.03 %]\n", + "Force : 0.684681 [ 16.14 %]\n", + "Coefs : 2.65688 [ 62.65 %]\n", + "Output : 0.000935479 [ 0.02 %]\n", + "Levels : 0.000312136 [ 0.01 %]\n", + "Report : 7.66e-07 [ 0.00 %]\n", + "Balance : 3.76e-07 [ 0.00 %]\n", + "Adjust : 0.896726 [ 21.14 %]\n", + "Total : 4.24114 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6644 406 83 4 5 \n", + "1 : 6657 399 77 6 3 \n", + "2 : 6619 421 94 5 3 \n", + "3 : 6652 402 79 6 3 \n", + "4 : 6652 400 82 6 2 \n", + "5 : 6686 378 71 5 2 \n", + "6 : 6635 409 93 3 2 \n", + "7 : 6621 427 83 8 3 \n", + "8 : 6652 391 84 11 4 \n", + "9 : 6627 417 83 6 9 \n", + "10 : 6584 461 84 11 2 \n", + "11 : 6640 405 89 5 3 \n", + "12 : 6654 399 78 7 4 \n", + "13 : 6622 442 83 5 2 \n", + "\n", + "T : 92945 5757 1163 88 47 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.2%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 5.7326e-02 sec\n", + "--- Collate = 7.0321e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.078000e-06 < 6.250000e-03 [23]\n", + "--- Max DT=3.035445e-01 > 1.000000e-01 [70150]\n", + "----------------------------------------------------------------------\n", + " Component | low: 23/100000\n", + " Component | high: 70150/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=0.7] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000698036 [ 0.02 %]\n", + "Velocity : 0.00202225 [ 0.05 %]\n", + "Force : 0.707031 [ 17.82 %]\n", + "Coefs : 2.45363 [ 61.84 %]\n", + "Output : 0.00153783 [ 0.04 %]\n", + "Levels : 0.00032905 [ 0.01 %]\n", + "Report : 1.197e-06 [ 0.00 %]\n", + "Balance : 3.19e-07 [ 0.00 %]\n", + "Adjust : 0.802314 [ 20.22 %]\n", + "Total : 3.96762 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6646 402 85 5 4 \n", + "1 : 6657 399 78 5 3 \n", + "2 : 6620 420 94 5 3 \n", + "3 : 6653 401 81 5 2 \n", + "4 : 6651 402 81 6 2 \n", + "5 : 6686 378 71 5 2 \n", + "6 : 6634 410 94 2 2 \n", + "7 : 6622 425 84 8 3 \n", + "8 : 6652 391 84 10 5 \n", + "9 : 6627 418 82 6 9 \n", + "10 : 6584 460 85 11 2 \n", + "11 : 6640 405 89 5 3 \n", + "12 : 6655 399 78 6 4 \n", + "13 : 6621 443 83 5 2 \n", + "\n", + "T : 92948 5753 1169 84 46 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.2%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.7558e-02 sec\n", + "--- Collate = 9.0367e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.135038e-05 < 6.250000e-03 [27]\n", + "--- Max DT=3.035153e-01 > 1.000000e-01 [70164]\n", + "----------------------------------------------------------------------\n", + " Component | low: 27/100000\n", + " Component | high: 70164/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=0.8] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000402794 [ 0.01 %]\n", + "Velocity : 0.00156518 [ 0.03 %]\n", + "Force : 0.816666 [ 16.75 %]\n", + "Coefs : 3.00267 [ 61.58 %]\n", + "Output : 0.00138189 [ 0.03 %]\n", + "Levels : 0.000300277 [ 0.01 %]\n", + "Report : 7.51e-07 [ 0.00 %]\n", + "Balance : 3.42e-07 [ 0.00 %]\n", + "Adjust : 1.05304 [ 21.60 %]\n", + "Total : 4.87608 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6646 402 85 7 2 \n", + "1 : 6657 400 77 5 3 \n", + "2 : 6619 419 96 5 3 \n", + "3 : 6653 401 81 5 2 \n", + "4 : 6651 400 85 4 2 \n", + "5 : 6685 377 75 3 2 \n", + "6 : 6634 410 94 2 2 \n", + "7 : 6622 425 85 7 3 \n", + "8 : 6651 392 84 10 5 \n", + "9 : 6628 417 83 4 10 \n", + "10 : 6585 459 86 10 2 \n", + "11 : 6642 403 90 4 3 \n", + "12 : 6655 397 79 8 3 \n", + "13 : 6620 443 84 5 2 \n", + "\n", + "T : 92948 5745 1184 79 44 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 5.7532e-02 sec\n", + "--- Collate = 1.7055e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.536211e-04 < 6.250000e-03 [28]\n", + "--- Max DT=3.034839e-01 > 1.000000e-01 [70167]\n", + "----------------------------------------------------------------------\n", + " Component | low: 28/100000\n", + " Component | high: 70167/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=0.9] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000648879 [ 0.01 %]\n", + "Velocity : 0.00131742 [ 0.03 %]\n", + "Force : 0.798432 [ 17.56 %]\n", + "Coefs : 2.83649 [ 62.40 %]\n", + "Output : 0.00107873 [ 0.02 %]\n", + "Levels : 0.000266727 [ 0.01 %]\n", + "Report : 8.36e-07 [ 0.00 %]\n", + "Balance : 3.99e-07 [ 0.00 %]\n", + "Adjust : 0.907648 [ 19.97 %]\n", + "Total : 4.54594 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6646 404 83 7 2 \n", + "1 : 6655 402 77 5 3 \n", + "2 : 6621 417 96 5 3 \n", + "3 : 6650 404 81 6 1 \n", + "4 : 6653 398 85 5 1 \n", + "5 : 6685 377 74 4 2 \n", + "6 : 6634 411 93 2 2 \n", + "7 : 6621 426 85 7 3 \n", + "8 : 6651 392 84 10 5 \n", + "9 : 6628 417 83 5 9 \n", + "10 : 6585 459 86 9 3 \n", + "11 : 6642 403 90 4 3 \n", + "12 : 6654 398 79 9 2 \n", + "13 : 6620 443 83 6 2 \n", + "\n", + "T : 92945 5751 1179 84 41 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.2%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 6.3573e-02 sec\n", + "--- Collate = 7.0335e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.598536e-04 < 6.250000e-03 [26]\n", + "--- Max DT=3.034506e-01 > 1.000000e-01 [70161]\n", + "----------------------------------------------------------------------\n", + " Component | low: 26/100000\n", + " Component | high: 70161/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1] -------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00105727 [ 0.02 %]\n", + "Velocity : 0.00153945 [ 0.03 %]\n", + "Force : 0.792834 [ 15.77 %]\n", + "Coefs : 3.16707 [ 62.98 %]\n", + "Output : 0.0173233 [ 0.34 %]\n", + "Levels : 0.000293878 [ 0.01 %]\n", + "Report : 1.588e-06 [ 0.00 %]\n", + "Balance : 6.87e-07 [ 0.00 %]\n", + "Adjust : 1.0483 [ 20.85 %]\n", + "Total : 5.02848 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6643 408 82 6 3 \n", + "1 : 6654 403 76 6 3 \n", + "2 : 6618 418 98 5 3 \n", + "3 : 6649 405 82 6 0 \n", + "4 : 6653 399 85 4 1 \n", + "5 : 6685 377 73 6 1 \n", + "6 : 6635 410 93 2 2 \n", + "7 : 6621 426 84 7 4 \n", + "8 : 6652 391 84 9 6 \n", + "9 : 6629 416 82 7 8 \n", + "10 : 6586 458 87 7 4 \n", + "11 : 6642 403 90 4 3 \n", + "12 : 6654 396 81 9 2 \n", + "13 : 6621 441 84 6 2 \n", + "\n", + "T : 92942 5751 1181 84 42 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.2%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 9.2195e-02 sec\n", + "--- Collate = 3.4313e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.521769e-05 < 6.250000e-03 [24]\n", + "--- Max DT=3.034151e-01 > 1.000000e-01 [70163]\n", + "----------------------------------------------------------------------\n", + " Component | low: 24/100000\n", + " Component | high: 70163/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.1] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000507009 [ 0.01 %]\n", + "Velocity : 0.00177935 [ 0.03 %]\n", + "Force : 0.870644 [ 16.83 %]\n", + "Coefs : 3.25854 [ 62.98 %]\n", + "Output : 0.00137858 [ 0.03 %]\n", + "Levels : 0.000306324 [ 0.01 %]\n", + "Report : 1.075e-06 [ 0.00 %]\n", + "Balance : 3.81e-07 [ 0.00 %]\n", + "Adjust : 1.04034 [ 20.11 %]\n", + "Total : 5.17355 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6642 409 82 6 3 \n", + "1 : 6653 403 77 5 4 \n", + "2 : 6617 420 97 5 3 \n", + "3 : 6649 406 82 5 0 \n", + "4 : 6653 398 84 6 1 \n", + "5 : 6685 376 75 5 1 \n", + "6 : 6636 409 93 2 2 \n", + "7 : 6622 425 84 7 4 \n", + "8 : 6654 389 85 7 7 \n", + "9 : 6630 415 83 7 7 \n", + "10 : 6586 457 87 9 3 \n", + "11 : 6640 405 90 3 4 \n", + "12 : 6655 395 81 9 2 \n", + "13 : 6623 439 84 5 3 \n", + "\n", + "T : 92945 5746 1184 81 44 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 6.1539e-02 sec\n", + "--- Collate = 1.4045e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.602772e-05 < 6.250000e-03 [25]\n", + "--- Max DT=3.033773e-01 > 1.000000e-01 [70152]\n", + "----------------------------------------------------------------------\n", + " Component | low: 25/100000\n", + " Component | high: 70152/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.2] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000494683 [ 0.01 %]\n", + "Velocity : 0.00150113 [ 0.03 %]\n", + "Force : 0.719449 [ 16.74 %]\n", + "Coefs : 2.69014 [ 62.58 %]\n", + "Output : 0.00132632 [ 0.03 %]\n", + "Levels : 0.000335289 [ 0.01 %]\n", + "Report : 1.274e-06 [ 0.00 %]\n", + "Balance : 4.43e-07 [ 0.00 %]\n", + "Adjust : 0.885183 [ 20.59 %]\n", + "Total : 4.29849 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6641 410 81 6 4 \n", + "1 : 6653 403 78 3 5 \n", + "2 : 6617 420 96 6 3 \n", + "3 : 6648 407 81 5 1 \n", + "4 : 6653 397 85 6 1 \n", + "5 : 6686 376 73 7 0 \n", + "6 : 6636 409 92 3 2 \n", + "7 : 6621 424 86 7 4 \n", + "8 : 6654 389 86 7 6 \n", + "9 : 6631 415 82 7 7 \n", + "10 : 6586 456 87 9 4 \n", + "11 : 6640 405 90 3 4 \n", + "12 : 6656 394 83 6 3 \n", + "13 : 6623 437 86 4 4 \n", + "\n", + "T : 92945 5742 1186 79 48 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 6.8336e-02 sec\n", + "--- Collate = 7.0424e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.561619e-04 < 6.250000e-03 [20]\n", + "--- Max DT=3.033376e-01 > 1.000000e-01 [70153]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 70153/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.3] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000414533 [ 0.01 %]\n", + "Velocity : 0.00157246 [ 0.04 %]\n", + "Force : 0.633091 [ 16.66 %]\n", + "Coefs : 2.43276 [ 64.03 %]\n", + "Output : 0.00154329 [ 0.04 %]\n", + "Levels : 0.000253297 [ 0.01 %]\n", + "Report : 8.85e-07 [ 0.00 %]\n", + "Balance : 4.87e-07 [ 0.00 %]\n", + "Adjust : 0.729586 [ 19.20 %]\n", + "Total : 3.79928 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6640 411 81 7 3 \n", + "1 : 6655 402 77 3 5 \n", + "2 : 6617 421 96 7 1 \n", + "3 : 6647 407 82 4 2 \n", + "4 : 6655 395 85 6 1 \n", + "5 : 6685 377 73 7 0 \n", + "6 : 6637 408 92 4 1 \n", + "7 : 6617 428 87 6 4 \n", + "8 : 6654 389 86 8 5 \n", + "9 : 6631 413 84 6 8 \n", + "10 : 6586 455 89 7 5 \n", + "11 : 6639 406 90 3 4 \n", + "12 : 6656 394 82 8 2 \n", + "13 : 6624 437 85 5 3 \n", + "\n", + "T : 92943 5743 1189 81 44 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 5.7442e-02 sec\n", + "--- Collate = 1.0031e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.166733e-04 < 6.250000e-03 [16]\n", + "--- Max DT=3.032956e-01 > 1.000000e-01 [70157]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 70157/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.4] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000667004 [ 0.02 %]\n", + "Velocity : 0.00186043 [ 0.04 %]\n", + "Force : 0.774361 [ 18.13 %]\n", + "Coefs : 2.64896 [ 62.02 %]\n", + "Output : 0.00108935 [ 0.03 %]\n", + "Levels : 0.000254747 [ 0.01 %]\n", + "Report : 7.48e-07 [ 0.00 %]\n", + "Balance : 4.81e-07 [ 0.00 %]\n", + "Adjust : 0.844129 [ 19.76 %]\n", + "Total : 4.27137 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6641 409 85 4 3 \n", + "1 : 6657 398 80 2 5 \n", + "2 : 6617 421 96 7 1 \n", + "3 : 6648 405 82 5 2 \n", + "4 : 6656 396 83 6 1 \n", + "5 : 6684 377 73 8 0 \n", + "6 : 6636 409 92 4 1 \n", + "7 : 6621 422 89 7 3 \n", + "8 : 6655 388 85 9 5 \n", + "9 : 6632 412 84 6 8 \n", + "10 : 6587 455 88 7 5 \n", + "11 : 6639 405 90 4 4 \n", + "12 : 6656 394 82 8 2 \n", + "13 : 6625 436 85 5 3 \n", + "\n", + "T : 92954 5727 1194 82 43 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 6.0299e-02 sec\n", + "--- Collate = 8.0235e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.901691e-05 < 6.250000e-03 [15]\n", + "--- Max DT=3.032515e-01 > 1.000000e-01 [70156]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 70156/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.5] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000582398 [ 0.01 %]\n", + "Velocity : 0.00176589 [ 0.05 %]\n", + "Force : 0.653567 [ 16.70 %]\n", + "Coefs : 2.40041 [ 61.34 %]\n", + "Output : 0.000994453 [ 0.03 %]\n", + "Levels : 0.000252382 [ 0.01 %]\n", + "Report : 7.13e-07 [ 0.00 %]\n", + "Balance : 2.97e-07 [ 0.00 %]\n", + "Adjust : 0.855905 [ 21.87 %]\n", + "Total : 3.91354 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6639 411 85 5 2 \n", + "1 : 6657 398 81 3 3 \n", + "2 : 6616 421 97 6 2 \n", + "3 : 6649 404 82 5 2 \n", + "4 : 6655 397 84 5 1 \n", + "5 : 6683 378 74 5 2 \n", + "6 : 6635 410 92 4 1 \n", + "7 : 6621 422 89 8 2 \n", + "8 : 6654 389 82 12 5 \n", + "9 : 6632 412 84 9 5 \n", + "10 : 6589 455 85 8 5 \n", + "11 : 6639 405 90 4 4 \n", + "12 : 6657 393 81 9 2 \n", + "13 : 6625 436 85 5 3 \n", + "\n", + "T : 92951 5731 1191 88 39 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.0564e-02 sec\n", + "--- Collate = 1.2072e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.010787e-04 < 6.250000e-03 [16]\n", + "--- Max DT=3.032048e-01 > 1.000000e-01 [70154]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 70154/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.6] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000902141 [ 0.02 %]\n", + "Velocity : 0.00173981 [ 0.04 %]\n", + "Force : 0.77213 [ 15.61 %]\n", + "Coefs : 3.13653 [ 63.40 %]\n", + "Output : 0.00118627 [ 0.02 %]\n", + "Levels : 0.000283153 [ 0.01 %]\n", + "Report : 1.01e-06 [ 0.00 %]\n", + "Balance : 4.03e-07 [ 0.00 %]\n", + "Adjust : 1.03434 [ 20.91 %]\n", + "Total : 4.94717 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6639 411 85 5 2 \n", + "1 : 6658 397 81 3 3 \n", + "2 : 6617 422 94 8 1 \n", + "3 : 6648 405 82 4 3 \n", + "4 : 6656 394 86 5 1 \n", + "5 : 6683 378 74 5 2 \n", + "6 : 6636 409 92 4 1 \n", + "7 : 6621 422 89 9 1 \n", + "8 : 6654 389 81 14 4 \n", + "9 : 6635 410 83 9 5 \n", + "10 : 6590 453 86 9 4 \n", + "11 : 6637 408 88 5 4 \n", + "12 : 6656 393 82 9 2 \n", + "13 : 6626 435 85 4 4 \n", + "\n", + "T : 92956 5726 1188 93 37 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 6.5521e-02 sec\n", + "--- Collate = 7.0401e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.497924e-04 < 6.250000e-03 [21]\n", + "--- Max DT=3.031555e-01 > 1.000000e-01 [70148]\n", + "----------------------------------------------------------------------\n", + " Component | low: 21/100000\n", + " Component | high: 70148/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.7] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000791191 [ 0.02 %]\n", + "Velocity : 0.00175078 [ 0.04 %]\n", + "Force : 0.761897 [ 16.36 %]\n", + "Coefs : 2.86286 [ 61.47 %]\n", + "Output : 0.00121833 [ 0.03 %]\n", + "Levels : 0.000263265 [ 0.01 %]\n", + "Report : 8.51e-07 [ 0.00 %]\n", + "Balance : 2.6e-07 [ 0.00 %]\n", + "Adjust : 1.02842 [ 22.08 %]\n", + "Total : 4.65726 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6640 410 85 4 3 \n", + "1 : 6657 397 81 5 2 \n", + "2 : 6618 420 95 7 2 \n", + "3 : 6647 406 82 3 4 \n", + "4 : 6656 393 86 5 2 \n", + "5 : 6682 379 74 5 2 \n", + "6 : 6637 408 92 4 1 \n", + "7 : 6620 423 88 8 3 \n", + "8 : 6653 390 82 13 4 \n", + "9 : 6636 409 83 8 6 \n", + "10 : 6589 454 86 9 4 \n", + "11 : 6636 410 87 5 4 \n", + "12 : 6656 395 80 9 2 \n", + "13 : 6625 436 85 4 4 \n", + "\n", + "T : 92952 5730 1186 89 43 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 6.9396e-02 sec\n", + "--- Collate = 2.0323e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.302601e-04 < 6.250000e-03 [19]\n", + "--- Max DT=3.031040e-01 > 1.000000e-01 [70148]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 70148/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.8] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000372031 [ 0.01 %]\n", + "Velocity : 0.00150823 [ 0.04 %]\n", + "Force : 0.60066 [ 16.25 %]\n", + "Coefs : 2.31759 [ 62.68 %]\n", + "Output : 0.00129382 [ 0.03 %]\n", + "Levels : 0.000279688 [ 0.01 %]\n", + "Report : 1.028e-06 [ 0.00 %]\n", + "Balance : 4.55e-07 [ 0.00 %]\n", + "Adjust : 0.775508 [ 20.98 %]\n", + "Total : 3.69726 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6638 412 85 4 3 \n", + "1 : 6656 398 80 6 2 \n", + "2 : 6617 422 94 7 2 \n", + "3 : 6648 404 83 4 3 \n", + "4 : 6656 392 87 5 2 \n", + "5 : 6684 376 74 6 2 \n", + "6 : 6637 408 91 5 1 \n", + "7 : 6621 421 89 8 3 \n", + "8 : 6653 390 84 11 4 \n", + "9 : 6634 413 81 9 5 \n", + "10 : 6588 455 87 8 4 \n", + "11 : 6635 411 87 5 4 \n", + "12 : 6656 396 80 7 3 \n", + "13 : 6625 437 84 5 3 \n", + "\n", + "T : 92948 5735 1186 90 41 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.2%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.3372e-02 sec\n", + "--- Collate = 1.1031e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.136890e-05 < 6.250000e-03 [20]\n", + "--- Max DT=3.030502e-01 > 1.000000e-01 [70150]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 70150/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=1.9] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000669688 [ 0.02 %]\n", + "Velocity : 0.00176534 [ 0.04 %]\n", + "Force : 0.676207 [ 16.34 %]\n", + "Coefs : 2.6521 [ 64.09 %]\n", + "Output : 0.0012734 [ 0.03 %]\n", + "Levels : 0.000309602 [ 0.01 %]\n", + "Report : 5.15e-07 [ 0.00 %]\n", + "Balance : 2.87e-07 [ 0.00 %]\n", + "Adjust : 0.805645 [ 19.47 %]\n", + "Total : 4.13803 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6638 412 85 4 3 \n", + "1 : 6655 399 81 5 2 \n", + "2 : 6615 427 92 6 2 \n", + "3 : 6649 403 83 4 3 \n", + "4 : 6656 390 88 7 1 \n", + "5 : 6684 377 73 6 2 \n", + "6 : 6638 407 91 5 1 \n", + "7 : 6621 421 89 7 4 \n", + "8 : 6653 391 83 11 4 \n", + "9 : 6633 413 81 10 5 \n", + "10 : 6589 454 89 7 3 \n", + "11 : 6635 413 86 4 4 \n", + "12 : 6657 396 80 5 4 \n", + "13 : 6625 437 84 6 2 \n", + "\n", + "T : 92948 5740 1185 87 40 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.2%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 5.1522e-02 sec\n", + "--- Collate = 1.1029e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.944048e-05 < 6.250000e-03 [19]\n", + "--- Max DT=3.029940e-01 > 1.000000e-01 [70154]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 70154/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=2] -------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000453375 [ 0.01 %]\n", + "Velocity : 0.00186956 [ 0.04 %]\n", + "Force : 0.805255 [ 17.58 %]\n", + "Coefs : 2.83976 [ 62.01 %]\n", + "Output : 0.00620475 [ 0.14 %]\n", + "Levels : 0.00030628 [ 0.01 %]\n", + "Report : 1.289e-06 [ 0.00 %]\n", + "Balance : 7.71e-07 [ 0.00 %]\n", + "Adjust : 0.925463 [ 20.21 %]\n", + "Total : 4.57936 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6640 410 85 4 3 \n", + "1 : 6654 400 79 6 3 \n", + "2 : 6615 427 91 6 3 \n", + "3 : 6651 400 84 4 3 \n", + "4 : 6656 389 90 6 1 \n", + "5 : 6684 379 70 7 2 \n", + "6 : 6639 406 92 4 1 \n", + "7 : 6619 423 89 6 5 \n", + "8 : 6651 394 83 10 4 \n", + "9 : 6632 414 81 10 5 \n", + "10 : 6588 454 90 7 3 \n", + "11 : 6634 414 86 4 4 \n", + "12 : 6658 395 80 5 4 \n", + "13 : 6624 439 83 6 2 \n", + "\n", + "T : 92945 5744 1183 85 43 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.5587e-02 sec\n", + "--- Collate = 1.0023e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.886594e-05 < 6.250000e-03 [20]\n", + "--- Max DT=3.029350e-01 > 1.000000e-01 [70143]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 70143/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=2.1] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000369205 [ 0.01 %]\n", + "Velocity : 0.00125769 [ 0.03 %]\n", + "Force : 0.640276 [ 16.60 %]\n", + "Coefs : 2.41635 [ 62.63 %]\n", + "Output : 0.0011332 [ 0.03 %]\n", + "Levels : 0.000285978 [ 0.01 %]\n", + "Report : 9.53e-07 [ 0.00 %]\n", + "Balance : 4.42e-07 [ 0.00 %]\n", + "Adjust : 0.798244 [ 20.69 %]\n", + "Total : 3.85797 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6641 409 85 4 3 \n", + "1 : 6655 400 78 6 3 \n", + "2 : 6614 428 91 6 3 \n", + "3 : 6651 400 84 4 3 \n", + "4 : 6657 389 90 5 1 \n", + "5 : 6685 376 72 6 3 \n", + "6 : 6639 406 93 2 2 \n", + "7 : 6621 421 90 5 5 \n", + "8 : 6652 393 82 11 4 \n", + "9 : 6632 413 83 6 8 \n", + "10 : 6589 453 90 7 3 \n", + "11 : 6633 414 87 6 2 \n", + "12 : 6658 394 79 8 3 \n", + "13 : 6623 442 82 4 3 \n", + "\n", + "T : 92950 5738 1186 80 46 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.2%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.8546e-02 sec\n", + "--- Collate = 4.0158e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.650542e-04 < 6.250000e-03 [21]\n", + "--- Max DT=3.028736e-01 > 1.000000e-01 [70143]\n", + "----------------------------------------------------------------------\n", + " Component | low: 21/100000\n", + " Component | high: 70143/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=2.2] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000343878 [ 0.01 %]\n", + "Velocity : 0.00128918 [ 0.03 %]\n", + "Force : 0.600006 [ 16.19 %]\n", + "Coefs : 2.33314 [ 62.95 %]\n", + "Output : 0.000991219 [ 0.03 %]\n", + "Levels : 0.000754381 [ 0.02 %]\n", + "Report : 1.091e-06 [ 0.00 %]\n", + "Balance : 5.2e-07 [ 0.00 %]\n", + "Adjust : 0.769757 [ 20.77 %]\n", + "Total : 3.70634 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6640 410 85 4 3 \n", + "1 : 6656 398 79 6 3 \n", + "2 : 6615 427 92 5 3 \n", + "3 : 6651 401 84 3 3 \n", + "4 : 6656 390 91 4 1 \n", + "5 : 6685 375 74 6 2 \n", + "6 : 6638 407 94 1 2 \n", + "7 : 6623 421 88 6 4 \n", + "8 : 6652 392 84 10 4 \n", + "9 : 6632 412 84 7 7 \n", + "10 : 6587 454 93 6 2 \n", + "11 : 6634 413 87 5 3 \n", + "12 : 6657 395 79 9 2 \n", + "13 : 6624 440 83 5 2 \n", + "\n", + "T : 92950 5735 1197 77 41 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.2%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 6.2607e-02 sec\n", + "--- Collate = 1.3020e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.695865e-04 < 6.250000e-03 [22]\n", + "--- Max DT=3.028340e-01 > 1.000000e-01 [70139]\n", + "----------------------------------------------------------------------\n", + " Component | low: 22/100000\n", + " Component | high: 70139/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=2.3] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000425103 [ 0.01 %]\n", + "Velocity : 0.0017674 [ 0.04 %]\n", + "Force : 0.859688 [ 18.62 %]\n", + "Coefs : 2.79786 [ 60.61 %]\n", + "Output : 0.00125453 [ 0.03 %]\n", + "Levels : 0.000271235 [ 0.01 %]\n", + "Report : 1.306e-06 [ 0.00 %]\n", + "Balance : 5.83e-07 [ 0.00 %]\n", + "Adjust : 0.954979 [ 20.69 %]\n", + "Total : 4.6163 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6639 412 84 4 3 \n", + "1 : 6656 399 78 5 4 \n", + "2 : 6617 425 92 5 3 \n", + "3 : 6650 400 86 3 3 \n", + "4 : 6657 389 90 5 1 \n", + "5 : 6685 375 73 6 3 \n", + "6 : 6638 408 92 2 2 \n", + "7 : 6624 420 86 7 5 \n", + "8 : 6655 388 85 9 5 \n", + "9 : 6632 412 84 7 7 \n", + "10 : 6587 454 93 6 2 \n", + "11 : 6636 410 88 6 2 \n", + "12 : 6657 395 80 8 2 \n", + "13 : 6623 442 81 7 1 \n", + "\n", + "T : 92956 5729 1192 80 43 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.2%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 6.2444e-02 sec\n", + "--- Collate = 7.0592e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.679098e-05 < 6.250000e-03 [24]\n", + "--- Max DT=3.028368e-01 > 1.000000e-01 [70137]\n", + "----------------------------------------------------------------------\n", + " Component | low: 24/100000\n", + " Component | high: 70137/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=2.4] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000463361 [ 0.01 %]\n", + "Velocity : 0.00151499 [ 0.03 %]\n", + "Force : 0.772625 [ 17.53 %]\n", + "Coefs : 2.77696 [ 62.99 %]\n", + "Output : 0.00154778 [ 0.04 %]\n", + "Levels : 0.00029666 [ 0.01 %]\n", + "Report : 8.14e-07 [ 0.00 %]\n", + "Balance : 4.85e-07 [ 0.00 %]\n", + "Adjust : 0.854876 [ 19.39 %]\n", + "Total : 4.40835 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6639 412 84 4 3 \n", + "1 : 6655 400 78 5 4 \n", + "2 : 6617 425 92 5 3 \n", + "3 : 6649 402 86 2 3 \n", + "4 : 6658 388 89 6 1 \n", + "5 : 6682 377 74 6 3 \n", + "6 : 6637 409 91 3 2 \n", + "7 : 6623 422 85 7 5 \n", + "8 : 6656 386 87 9 4 \n", + "9 : 6632 412 83 9 6 \n", + "10 : 6588 453 92 6 3 \n", + "11 : 6636 410 88 6 2 \n", + "12 : 6654 398 81 7 2 \n", + "13 : 6623 442 81 5 3 \n", + "\n", + "T : 92949 5736 1191 80 44 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.2%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.0002e-02 sec\n", + "--- Collate = 9.1916e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.783743e-04 < 6.250000e-03 [22]\n", + "--- Max DT=3.028389e-01 > 1.000000e-01 [70130]\n", + "----------------------------------------------------------------------\n", + " Component | low: 22/100000\n", + " Component | high: 70130/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=2.5] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000708475 [ 0.02 %]\n", + "Velocity : 0.0024563 [ 0.06 %]\n", + "Force : 0.699167 [ 16.95 %]\n", + "Coefs : 2.51369 [ 60.93 %]\n", + "Output : 0.0015037 [ 0.04 %]\n", + "Levels : 0.000345288 [ 0.01 %]\n", + "Report : 8.39e-07 [ 0.00 %]\n", + "Balance : 4.15e-07 [ 0.00 %]\n", + "Adjust : 0.907639 [ 22.00 %]\n", + "Total : 4.12557 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6639 412 83 4 4 \n", + "1 : 6654 401 78 5 4 \n", + "2 : 6616 425 92 6 3 \n", + "3 : 6649 402 85 3 3 \n", + "4 : 6658 387 88 8 1 \n", + "5 : 6681 379 74 5 3 \n", + "6 : 6637 408 92 3 2 \n", + "7 : 6623 422 85 7 5 \n", + "8 : 6657 385 87 8 5 \n", + "9 : 6631 412 84 10 5 \n", + "10 : 6587 454 91 7 3 \n", + "11 : 6636 410 88 6 2 \n", + "12 : 6654 399 81 6 2 \n", + "13 : 6623 443 79 6 3 \n", + "\n", + "T : 92945 5739 1187 84 45 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.2%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.2103e-02 sec\n", + "--- Collate = 1.3329e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.131172e-05 < 6.250000e-03 [20]\n", + "--- Max DT=3.028408e-01 > 1.000000e-01 [70135]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 70135/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=2.6] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00102023 [ 0.02 %]\n", + "Velocity : 0.00288357 [ 0.07 %]\n", + "Force : 0.695906 [ 15.79 %]\n", + "Coefs : 2.78867 [ 63.28 %]\n", + "Output : 0.00170445 [ 0.04 %]\n", + "Levels : 0.000321752 [ 0.01 %]\n", + "Report : 1.13e-06 [ 0.00 %]\n", + "Balance : 2.76e-07 [ 0.00 %]\n", + "Adjust : 0.916009 [ 20.79 %]\n", + "Total : 4.40658 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6640 411 83 3 5 \n", + "1 : 6653 402 78 5 4 \n", + "2 : 6615 426 92 6 3 \n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3 : 6650 400 87 3 2 \n", + "4 : 6659 387 88 8 0 \n", + "5 : 6682 378 75 4 3 \n", + "6 : 6638 408 91 3 2 \n", + "7 : 6621 424 84 8 5 \n", + "8 : 6656 386 87 9 4 \n", + "9 : 6630 412 85 8 7 \n", + "10 : 6586 456 90 8 2 \n", + "11 : 6635 412 86 8 1 \n", + "12 : 6655 398 81 4 4 \n", + "13 : 6624 442 79 5 4 \n", + "\n", + "T : 92944 5742 1186 82 46 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.2%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 9.0356e-02 sec\n", + "--- Collate = 6.0270e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.426680e-05 < 6.250000e-03 [20]\n", + "--- Max DT=3.028425e-01 > 1.000000e-01 [70135]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 70135/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=2.7] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000627322 [ 0.02 %]\n", + "Velocity : 0.00209721 [ 0.05 %]\n", + "Force : 0.676815 [ 16.40 %]\n", + "Coefs : 2.55276 [ 61.84 %]\n", + "Output : 0.0015442 [ 0.04 %]\n", + "Levels : 0.000299802 [ 0.01 %]\n", + "Report : 8.9e-07 [ 0.00 %]\n", + "Balance : 4.97e-07 [ 0.00 %]\n", + "Adjust : 0.89379 [ 21.65 %]\n", + "Total : 4.12799 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6639 413 82 3 5 \n", + "1 : 6654 401 79 6 2 \n", + "2 : 6615 425 93 6 3 \n", + "3 : 6650 400 86 5 1 \n", + "4 : 6659 388 89 6 0 \n", + "5 : 6682 379 74 3 4 \n", + "6 : 6639 407 91 4 1 \n", + "7 : 6618 428 83 7 6 \n", + "8 : 6656 387 84 12 3 \n", + "9 : 6630 412 85 8 7 \n", + "10 : 6587 455 89 9 2 \n", + "11 : 6634 413 87 6 2 \n", + "12 : 6656 397 81 5 3 \n", + "13 : 6623 443 79 6 3 \n", + "\n", + "T : 92942 5748 1182 86 42 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.2%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 6.8507e-02 sec\n", + "--- Collate = 1.2034e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.966967e-04 < 6.250000e-03 [21]\n", + "--- Max DT=3.028438e-01 > 1.000000e-01 [70135]\n", + "----------------------------------------------------------------------\n", + " Component | low: 21/100000\n", + " Component | high: 70135/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=2.8] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000521105 [ 0.01 %]\n", + "Velocity : 0.00152608 [ 0.03 %]\n", + "Force : 0.818147 [ 16.68 %]\n", + "Coefs : 3.0962 [ 63.11 %]\n", + "Output : 0.0012174 [ 0.02 %]\n", + "Levels : 0.000395207 [ 0.01 %]\n", + "Report : 6.31e-07 [ 0.00 %]\n", + "Balance : 3.17e-07 [ 0.00 %]\n", + "Adjust : 0.987763 [ 20.13 %]\n", + "Total : 4.90583 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6640 413 81 4 4 \n", + "1 : 6653 402 81 4 2 \n", + "2 : 6614 425 95 6 2 \n", + "3 : 6649 400 86 5 2 \n", + "4 : 6659 388 88 6 1 \n", + "5 : 6685 375 76 2 4 \n", + "6 : 6637 409 89 6 1 \n", + "7 : 6618 427 84 7 6 \n", + "8 : 6655 387 83 14 3 \n", + "9 : 6628 414 85 8 7 \n", + "10 : 6588 454 89 8 3 \n", + "11 : 6634 412 88 6 2 \n", + "12 : 6656 398 79 6 3 \n", + "13 : 6624 442 80 4 4 \n", + "\n", + "T : 92940 5746 1184 86 44 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.4386e-02 sec\n", + "--- Collate = 5.5327e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.031772e-05 < 6.250000e-03 [20]\n", + "--- Max DT=3.028452e-01 > 1.000000e-01 [70134]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 70134/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=2.9] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000450162 [ 0.01 %]\n", + "Velocity : 0.00356429 [ 0.07 %]\n", + "Force : 0.780901 [ 16.10 %]\n", + "Coefs : 2.96957 [ 61.23 %]\n", + "Output : 0.00110769 [ 0.02 %]\n", + "Levels : 0.000292133 [ 0.01 %]\n", + "Report : 6.82e-07 [ 0.00 %]\n", + "Balance : 3.09e-07 [ 0.00 %]\n", + "Adjust : 1.09419 [ 22.56 %]\n", + "Total : 4.85014 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6641 413 80 4 4 \n", + "1 : 6653 402 81 4 2 \n", + "2 : 6614 424 96 5 3 \n", + "3 : 6649 400 86 5 2 \n", + "4 : 6660 387 88 6 1 \n", + "5 : 6685 374 77 3 3 \n", + "6 : 6639 407 90 5 1 \n", + "7 : 6619 426 84 8 5 \n", + "8 : 6654 388 83 12 5 \n", + "9 : 6628 415 84 7 8 \n", + "10 : 6587 455 89 7 4 \n", + "11 : 6632 414 88 5 3 \n", + "12 : 6655 399 79 7 2 \n", + "13 : 6624 443 79 4 4 \n", + "\n", + "T : 92940 5747 1184 82 47 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.2%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.5523e-02 sec\n", + "--- Collate = 1.0960e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.007218e-04 < 6.250000e-03 [21]\n", + "--- Max DT=3.028460e-01 > 1.000000e-01 [70133]\n", + "----------------------------------------------------------------------\n", + " Component | low: 21/100000\n", + " Component | high: 70133/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=3] -------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000543465 [ 0.01 %]\n", + "Velocity : 0.00169548 [ 0.04 %]\n", + "Force : 0.764394 [ 16.92 %]\n", + "Coefs : 2.7948 [ 61.87 %]\n", + "Output : 0.00890614 [ 0.20 %]\n", + "Levels : 0.000859106 [ 0.02 %]\n", + "Report : 1.751e-06 [ 0.00 %]\n", + "Balance : 7.07e-07 [ 0.00 %]\n", + "Adjust : 0.945796 [ 20.94 %]\n", + "Total : 4.51705 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6641 413 80 5 3 \n", + "1 : 6650 405 81 4 2 \n", + "2 : 6612 426 95 5 4 \n", + "3 : 6648 401 86 5 2 \n", + "4 : 6660 387 88 5 2 \n", + "5 : 6685 375 77 3 2 \n", + "6 : 6640 407 88 6 1 \n", + "7 : 6618 427 84 10 3 \n", + "8 : 6654 388 81 12 7 \n", + "9 : 6627 415 85 7 8 \n", + "10 : 6586 456 89 7 4 \n", + "11 : 6633 413 88 4 4 \n", + "12 : 6656 399 78 6 3 \n", + "13 : 6626 441 79 4 4 \n", + "\n", + "T : 92936 5753 1179 83 49 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.7316e-02 sec\n", + "--- Collate = 1.0006e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.333734e-04 < 6.250000e-03 [21]\n", + "--- Max DT=3.028466e-01 > 1.000000e-01 [70126]\n", + "----------------------------------------------------------------------\n", + " Component | low: 21/100000\n", + " Component | high: 70126/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=3.1] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00077416 [ 0.02 %]\n", + "Velocity : 0.00260997 [ 0.06 %]\n", + "Force : 0.732558 [ 18.05 %]\n", + "Coefs : 2.45869 [ 60.57 %]\n", + "Output : 0.00171942 [ 0.04 %]\n", + "Levels : 0.000271028 [ 0.01 %]\n", + "Report : 9.02e-07 [ 0.00 %]\n", + "Balance : 3.79e-07 [ 0.00 %]\n", + "Adjust : 0.862896 [ 21.26 %]\n", + "Total : 4.05959 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6643 409 82 5 3 \n", + "1 : 6649 406 82 3 2 \n", + "2 : 6612 425 96 6 3 \n", + "3 : 6646 402 87 5 2 \n", + "4 : 6661 386 88 5 2 \n", + "5 : 6685 374 77 5 1 \n", + "6 : 6640 407 88 7 0 \n", + "7 : 6618 428 82 11 3 \n", + "8 : 6653 389 84 9 7 \n", + "9 : 6627 414 87 7 7 \n", + "10 : 6587 455 88 9 3 \n", + "11 : 6632 413 89 4 4 \n", + "12 : 6656 399 79 3 5 \n", + "13 : 6627 439 80 5 3 \n", + "\n", + "T : 92936 5746 1189 84 45 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 3.7384e-02 sec\n", + "--- Collate = 6.0045e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.130055e-04 < 6.250000e-03 [26]\n", + "--- Max DT=3.028469e-01 > 1.000000e-01 [70118]\n", + "----------------------------------------------------------------------\n", + " Component | low: 26/100000\n", + " Component | high: 70118/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=3.2] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00150781 [ 0.04 %]\n", + "Velocity : 0.00218514 [ 0.05 %]\n", + "Force : 0.676958 [ 16.75 %]\n", + "Coefs : 2.36742 [ 58.56 %]\n", + "Output : 0.00157381 [ 0.04 %]\n", + "Levels : 0.000338603 [ 0.01 %]\n", + "Report : 6.41e-07 [ 0.00 %]\n", + "Balance : 3.17e-07 [ 0.00 %]\n", + "Adjust : 0.992689 [ 24.55 %]\n", + "Total : 4.04274 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6642 411 81 5 3 \n", + "1 : 6647 408 83 3 1 \n", + "2 : 6612 425 96 6 3 \n", + "3 : 6646 403 85 6 2 \n", + "4 : 6661 385 89 5 2 \n", + "5 : 6687 372 76 6 1 \n", + "6 : 6641 407 88 6 0 \n", + "7 : 6617 429 82 7 7 \n", + "8 : 6651 391 84 9 7 \n", + "9 : 6627 413 88 8 6 \n", + "10 : 6587 454 90 6 5 \n", + "11 : 6630 414 90 5 3 \n", + "12 : 6656 399 80 2 5 \n", + "13 : 6627 439 79 6 3 \n", + "\n", + "T : 92931 5750 1191 80 48 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 37.7%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0315e-01 sec\n", + "--- Collate = 2.4174e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.882252e-05 < 6.250000e-03 [25]\n", + "--- Max DT=3.028465e-01 > 1.000000e-01 [70113]\n", + "----------------------------------------------------------------------\n", + " Component | low: 25/100000\n", + " Component | high: 70113/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=3.3] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000727006 [ 0.02 %]\n", + "Velocity : 0.00171569 [ 0.04 %]\n", + "Force : 0.63286 [ 16.14 %]\n", + "Coefs : 2.51409 [ 64.13 %]\n", + "Output : 0.00117924 [ 0.03 %]\n", + "Levels : 0.000280933 [ 0.01 %]\n", + "Report : 9.51e-07 [ 0.00 %]\n", + "Balance : 7.02e-07 [ 0.00 %]\n", + "Adjust : 0.769698 [ 19.63 %]\n", + "Total : 3.92061 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6642 410 83 5 2 \n", + "1 : 6647 408 83 3 1 \n", + "2 : 6611 425 97 7 2 \n", + "3 : 6647 401 85 7 2 \n", + "4 : 6660 387 88 5 2 \n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "5 : 6685 376 73 7 1 \n", + "6 : 6641 406 89 6 0 \n", + "7 : 6615 430 83 6 8 \n", + "8 : 6651 391 84 9 7 \n", + "9 : 6625 414 89 8 6 \n", + "10 : 6586 454 91 7 4 \n", + "11 : 6629 415 89 5 4 \n", + "12 : 6654 401 80 1 6 \n", + "13 : 6626 440 78 7 3 \n", + "\n", + "T : 92919 5758 1192 83 48 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.2%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.2298e-02 sec\n", + "--- Collate = 9.0737e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.653094e-06 < 6.250000e-03 [29]\n", + "--- Max DT=3.028457e-01 > 1.000000e-01 [70114]\n", + "----------------------------------------------------------------------\n", + " Component | low: 29/100000\n", + " Component | high: 70114/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=3.4] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000432423 [ 0.01 %]\n", + "Velocity : 0.00152532 [ 0.04 %]\n", + "Force : 0.697371 [ 17.34 %]\n", + "Coefs : 2.47822 [ 61.64 %]\n", + "Output : 0.00117062 [ 0.03 %]\n", + "Levels : 0.000304378 [ 0.01 %]\n", + "Report : 9.27e-07 [ 0.00 %]\n", + "Balance : 3.72e-07 [ 0.00 %]\n", + "Adjust : 0.841555 [ 20.93 %]\n", + "Total : 4.02064 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6644 409 82 5 2 \n", + "1 : 6643 411 83 5 0 \n", + "2 : 6612 424 97 6 3 \n", + "3 : 6647 401 86 5 3 \n", + "4 : 6661 386 89 4 2 \n", + "5 : 6685 376 73 6 2 \n", + "6 : 6642 406 89 5 0 \n", + "7 : 6615 431 83 5 8 \n", + "8 : 6653 390 84 7 8 \n", + "9 : 6626 413 88 10 5 \n", + "10 : 6587 453 91 7 4 \n", + "11 : 6628 416 89 6 3 \n", + "12 : 6653 401 80 2 6 \n", + "13 : 6626 440 77 9 2 \n", + "\n", + "T : 92922 5757 1191 82 48 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.2%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.6990e-02 sec\n", + "--- Collate = 6.5332e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.102259e-05 < 6.250000e-03 [24]\n", + "--- Max DT=3.028445e-01 > 1.000000e-01 [70115]\n", + "----------------------------------------------------------------------\n", + " Component | low: 24/100000\n", + " Component | high: 70115/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=3.5] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00048019 [ 0.01 %]\n", + "Velocity : 0.00641888 [ 0.15 %]\n", + "Force : 0.665119 [ 15.89 %]\n", + "Coefs : 2.66805 [ 63.75 %]\n", + "Output : 0.00114905 [ 0.03 %]\n", + "Levels : 0.00828414 [ 0.20 %]\n", + "Report : 1.035e-06 [ 0.00 %]\n", + "Balance : 7.83e-07 [ 0.00 %]\n", + "Adjust : 0.835812 [ 19.97 %]\n", + "Total : 4.18536 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6644 409 81 6 2 \n", + "1 : 6643 412 82 5 0 \n", + "2 : 6612 425 95 7 3 \n", + "3 : 6648 401 85 4 4 \n", + "4 : 6660 387 88 5 2 \n", + "5 : 6683 377 74 5 3 \n", + "6 : 6642 407 88 5 0 \n", + "7 : 6619 427 83 5 8 \n", + "8 : 6653 390 85 6 8 \n", + "9 : 6626 413 88 9 6 \n", + "10 : 6587 453 92 6 4 \n", + "11 : 6626 416 91 6 3 \n", + "12 : 6653 399 82 1 7 \n", + "13 : 6626 440 78 7 3 \n", + "\n", + "T : 92922 5756 1192 77 53 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.3541e-02 sec\n", + "--- Collate = 1.4020e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.266284e-06 < 6.250000e-03 [25]\n", + "--- Max DT=3.028427e-01 > 1.000000e-01 [70125]\n", + "----------------------------------------------------------------------\n", + " Component | low: 25/100000\n", + " Component | high: 70125/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=3.6] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000461748 [ 0.01 %]\n", + "Velocity : 0.00147142 [ 0.04 %]\n", + "Force : 0.630678 [ 16.78 %]\n", + "Coefs : 2.32884 [ 61.97 %]\n", + "Output : 0.00150907 [ 0.04 %]\n", + "Levels : 0.00029767 [ 0.01 %]\n", + "Report : 1.076e-06 [ 0.00 %]\n", + "Balance : 4.73e-07 [ 0.00 %]\n", + "Adjust : 0.794547 [ 21.14 %]\n", + "Total : 3.75786 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6646 408 80 6 2 \n", + "1 : 6644 411 82 5 0 \n", + "2 : 6613 424 96 5 4 \n", + "3 : 6647 402 85 2 6 \n", + "4 : 6660 387 88 5 2 \n", + "5 : 6682 378 73 7 2 \n", + "6 : 6643 406 88 5 0 \n", + "7 : 6619 427 83 6 7 \n", + "8 : 6651 392 86 7 6 \n", + "9 : 6625 414 88 11 4 \n", + "10 : 6588 452 93 5 4 \n", + "11 : 6626 416 90 7 3 \n", + "12 : 6653 398 83 1 7 \n", + "13 : 6624 443 77 8 2 \n", + "\n", + "T : 92921 5758 1192 80 49 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 5.4507e-02 sec\n", + "--- Collate = 7.0310e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.299656e-04 < 6.250000e-03 [24]\n", + "--- Max DT=3.028405e-01 > 1.000000e-01 [70121]\n", + "----------------------------------------------------------------------\n", + " Component | low: 24/100000\n", + " Component | high: 70121/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=3.7] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000439026 [ 0.01 %]\n", + "Velocity : 0.00141897 [ 0.04 %]\n", + "Force : 0.684196 [ 17.68 %]\n", + "Coefs : 2.33291 [ 60.28 %]\n", + "Output : 0.00521422 [ 0.13 %]\n", + "Levels : 0.00031182 [ 0.01 %]\n", + "Report : 1.359e-06 [ 0.00 %]\n", + "Balance : 5.7e-07 [ 0.00 %]\n", + "Adjust : 0.845699 [ 21.85 %]\n", + "Total : 3.87025 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6647 407 81 5 2 \n", + "1 : 6643 412 82 5 0 \n", + "2 : 6612 425 96 5 4 \n", + "3 : 6647 402 85 3 5 \n", + "4 : 6661 386 88 6 1 \n", + "5 : 6682 379 72 7 2 \n", + "6 : 6643 405 89 5 0 \n", + "7 : 6619 427 82 8 6 \n", + "8 : 6654 389 86 7 6 \n", + "9 : 6625 413 89 10 5 \n", + "10 : 6587 451 95 6 3 \n", + "11 : 6626 417 90 6 3 \n", + "12 : 6651 400 83 2 6 \n", + "13 : 6624 443 76 7 4 \n", + "\n", + "T : 92921 5756 1194 82 47 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.6518e-02 sec\n", + "--- Collate = 1.5016e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.559403e-05 < 6.250000e-03 [20]\n", + "--- Max DT=3.028375e-01 > 1.000000e-01 [70128]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 70128/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=3.8] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000415263 [ 0.01 %]\n", + "Velocity : 0.00130334 [ 0.03 %]\n", + "Force : 0.591302 [ 14.64 %]\n", + "Coefs : 2.59681 [ 64.30 %]\n", + "Output : 0.00126277 [ 0.03 %]\n", + "Levels : 0.000345585 [ 0.01 %]\n", + "Report : 1.019e-06 [ 0.00 %]\n", + "Balance : 7.24e-07 [ 0.00 %]\n", + "Adjust : 0.847153 [ 20.98 %]\n", + "Total : 4.03865 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6647 407 81 5 2 \n", + "1 : 6644 411 81 6 0 \n", + "2 : 6613 424 96 5 4 \n", + "3 : 6647 402 84 4 5 \n", + "4 : 6659 387 89 6 1 \n", + "5 : 6682 379 72 7 2 \n", + "6 : 6642 405 89 5 1 \n", + "7 : 6618 428 82 10 4 \n", + "8 : 6653 390 87 7 5 \n", + "9 : 6625 414 88 10 5 \n", + "10 : 6586 453 93 9 1 \n", + "11 : 6626 417 89 8 2 \n", + "12 : 6652 398 84 2 6 \n", + "13 : 6623 444 77 5 5 \n", + "\n", + "T : 92917 5759 1192 89 43 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.2%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.4551e-02 sec\n", + "--- Collate = 8.0192e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.590120e-05 < 6.250000e-03 [22]\n", + "--- Max DT=3.028343e-01 > 1.000000e-01 [70120]\n", + "----------------------------------------------------------------------\n", + " Component | low: 22/100000\n", + " Component | high: 70120/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=3.9] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000587588 [ 0.01 %]\n", + "Velocity : 0.00156001 [ 0.03 %]\n", + "Force : 0.730554 [ 16.32 %]\n", + "Coefs : 2.86388 [ 63.98 %]\n", + "Output : 0.00132128 [ 0.03 %]\n", + "Levels : 0.000263636 [ 0.01 %]\n", + "Report : 9.29e-07 [ 0.00 %]\n", + "Balance : 4.66e-07 [ 0.00 %]\n", + "Adjust : 0.878162 [ 19.62 %]\n", + "Total : 4.47639 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6649 404 82 3 4 \n", + "1 : 6643 413 80 6 0 \n", + "2 : 6611 426 95 6 4 \n", + "3 : 6648 403 82 4 5 \n", + "4 : 6661 386 88 4 3 \n", + "5 : 6684 377 71 8 2 \n", + "6 : 6644 402 90 5 1 \n", + "7 : 6619 426 84 10 3 \n", + "8 : 6654 390 84 10 4 \n", + "9 : 6625 414 87 11 5 \n", + "10 : 6588 451 93 8 2 \n", + "11 : 6632 411 88 9 2 \n", + "12 : 6654 397 83 1 7 \n", + "13 : 6619 448 78 4 5 \n", + "\n", + "T : 92931 5748 1185 89 47 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 3.7542e-02 sec\n", + "--- Collate = 1.0060e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.255053e-04 < 6.250000e-03 [21]\n", + "--- Max DT=3.028308e-01 > 1.000000e-01 [70114]\n", + "----------------------------------------------------------------------\n", + " Component | low: 21/100000\n", + " Component | high: 70114/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=4] -------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0003184 [ 0.01 %]\n", + "Velocity : 0.00104269 [ 0.02 %]\n", + "Force : 0.741606 [ 16.61 %]\n", + "Coefs : 2.77522 [ 62.16 %]\n", + "Output : 0.00980609 [ 0.22 %]\n", + "Levels : 0.000291639 [ 0.01 %]\n", + "Report : 1.673e-06 [ 0.00 %]\n", + "Balance : 6.2e-07 [ 0.00 %]\n", + "Adjust : 0.936326 [ 20.97 %]\n", + "Total : 4.46467 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6648 405 83 2 4 \n", + "1 : 6643 414 79 6 0 \n", + "2 : 6612 426 94 7 3 \n", + "3 : 6648 403 82 5 4 \n", + "4 : 6661 386 88 4 3 \n", + "5 : 6682 378 72 6 4 \n", + "6 : 6646 401 88 5 2 \n", + "7 : 6617 428 83 10 4 \n", + "8 : 6652 391 84 11 4 \n", + "9 : 6626 412 88 10 6 \n", + "10 : 6588 452 92 6 4 \n", + "11 : 6632 411 87 11 1 \n", + "12 : 6655 397 81 4 5 \n", + "13 : 6617 451 77 4 5 \n", + "\n", + "T : 92927 5755 1178 91 49 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.1276e-02 sec\n", + "--- Collate = 2.0535e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.717824e-05 < 6.250000e-03 [25]\n", + "--- Max DT=3.028366e-01 > 1.000000e-01 [70112]\n", + "----------------------------------------------------------------------\n", + " Component | low: 25/100000\n", + " Component | high: 70112/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=4.1] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00379102 [ 0.09 %]\n", + "Velocity : 0.00142961 [ 0.03 %]\n", + "Force : 0.715253 [ 16.18 %]\n", + "Coefs : 2.74514 [ 62.10 %]\n", + "Output : 0.00106925 [ 0.02 %]\n", + "Levels : 0.00030004 [ 0.01 %]\n", + "Report : 8.72e-07 [ 0.00 %]\n", + "Balance : 3.33e-07 [ 0.00 %]\n", + "Adjust : 0.953232 [ 21.57 %]\n", + "Total : 4.42027 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6648 405 83 2 4 \n", + "1 : 6644 413 79 6 0 \n", + "2 : 6614 424 95 5 4 \n", + "3 : 6649 402 81 6 4 \n", + "4 : 6659 389 88 3 3 \n", + "5 : 6682 379 71 6 4 \n", + "6 : 6646 402 86 6 2 \n", + "7 : 6616 428 84 8 6 \n", + "8 : 6649 395 82 11 5 \n", + "9 : 6625 413 87 11 6 \n", + "10 : 6589 451 92 6 4 \n", + "11 : 6632 411 89 9 1 \n", + "12 : 6655 397 81 6 3 \n", + "13 : 6615 452 78 4 5 \n", + "\n", + "T : 92923 5761 1176 89 51 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.3647e-02 sec\n", + "--- Collate = 6.0212e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.617364e-05 < 6.250000e-03 [27]\n", + "--- Max DT=3.028474e-01 > 1.000000e-01 [70104]\n", + "----------------------------------------------------------------------\n", + " Component | low: 27/100000\n", + " Component | high: 70104/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=4.2] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000658349 [ 0.02 %]\n", + "Velocity : 0.00156131 [ 0.04 %]\n", + "Force : 0.611764 [ 16.87 %]\n", + "Coefs : 2.27391 [ 62.72 %]\n", + "Output : 0.00125504 [ 0.03 %]\n", + "Levels : 0.000441718 [ 0.01 %]\n", + "Report : 9.37e-07 [ 0.00 %]\n", + "Balance : 3.53e-07 [ 0.00 %]\n", + "Adjust : 0.735894 [ 20.30 %]\n", + "Total : 3.62554 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6645 408 83 2 4 \n", + "1 : 6644 413 78 6 1 \n", + "2 : 6613 425 94 6 4 \n", + "3 : 6650 401 82 3 6 \n", + "4 : 6660 389 87 4 2 \n", + "5 : 6682 379 71 6 4 \n", + "6 : 6647 401 86 6 2 \n", + "7 : 6615 430 83 9 5 \n", + "8 : 6646 398 83 9 6 \n", + "9 : 6626 413 86 11 6 \n", + "10 : 6589 451 92 7 3 \n", + "11 : 6632 411 89 9 1 \n", + "12 : 6656 396 81 8 1 \n", + "13 : 6615 451 79 4 5 \n", + "\n", + "T : 92920 5766 1174 90 50 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 6.0987e-02 sec\n", + "--- Collate = 5.0289e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.512240e-04 < 6.250000e-03 [26]\n", + "--- Max DT=3.028571e-01 > 1.000000e-01 [70106]\n", + "----------------------------------------------------------------------\n", + " Component | low: 26/100000\n", + " Component | high: 70106/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=4.3] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000545543 [ 0.01 %]\n", + "Velocity : 0.00204079 [ 0.05 %]\n", + "Force : 0.698581 [ 16.07 %]\n", + "Coefs : 2.73165 [ 62.84 %]\n", + "Output : 0.00159023 [ 0.04 %]\n", + "Levels : 0.000304091 [ 0.01 %]\n", + "Report : 8.75e-07 [ 0.00 %]\n", + "Balance : 4.07e-07 [ 0.00 %]\n", + "Adjust : 0.912051 [ 20.98 %]\n", + "Total : 4.34682 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6648 405 83 2 4 \n", + "1 : 6646 410 79 6 1 \n", + "2 : 6616 421 95 5 5 \n", + "3 : 6651 399 82 4 6 \n", + "4 : 6660 387 90 3 2 \n", + "5 : 6684 377 72 5 4 \n", + "6 : 6645 403 87 5 2 \n", + "7 : 6616 429 82 11 4 \n", + "8 : 6646 399 82 8 7 \n", + "9 : 6627 412 86 10 7 \n", + "10 : 6589 451 92 7 3 \n", + "11 : 6632 411 89 9 1 \n", + "12 : 6657 394 82 8 1 \n", + "13 : 6614 451 80 4 5 \n", + "\n", + "T : 92931 5749 1181 87 52 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 20.1%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 6.8468e-02 sec\n", + "--- Collate = 1.6020e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.048119e-05 < 6.250000e-03 [28]\n", + "--- Max DT=3.028653e-01 > 1.000000e-01 [70101]\n", + "----------------------------------------------------------------------\n", + " Component | low: 28/100000\n", + " Component | high: 70101/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=4.4] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000457172 [ 0.01 %]\n", + "Velocity : 0.00325569 [ 0.08 %]\n", + "Force : 0.655633 [ 16.51 %]\n", + "Coefs : 2.44252 [ 61.52 %]\n", + "Output : 0.00118717 [ 0.03 %]\n", + "Levels : 0.000301226 [ 0.01 %]\n", + "Report : 9.65e-07 [ 0.00 %]\n", + "Balance : 4.67e-07 [ 0.00 %]\n", + "Adjust : 0.866896 [ 21.83 %]\n", + "Total : 3.97031 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6647 405 84 2 4 \n", + "1 : 6643 412 81 5 1 \n", + "2 : 6613 425 94 4 6 \n", + "3 : 6650 399 83 5 5 \n", + "4 : 6658 389 91 1 3 \n", + "5 : 6685 376 73 3 5 \n", + "6 : 6647 401 88 4 2 \n", + "7 : 6614 432 82 9 5 \n", + "8 : 6647 398 82 7 8 \n", + "9 : 6626 414 84 12 6 \n", + "10 : 6589 451 91 8 3 \n", + "11 : 6634 408 91 8 1 \n", + "12 : 6658 393 80 10 1 \n", + "13 : 6615 451 79 4 5 \n", + "\n", + "T : 92926 5754 1183 82 55 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.2%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 6.0275e-02 sec\n", + "--- Collate = 9.0067e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.556408e-05 < 6.250000e-03 [22]\n", + "--- Max DT=3.028724e-01 > 1.000000e-01 [70116]\n", + "----------------------------------------------------------------------\n", + " Component | low: 22/100000\n", + " Component | high: 70116/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=4.5] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000479144 [ 0.01 %]\n", + "Velocity : 0.00184225 [ 0.04 %]\n", + "Force : 0.819532 [ 18.45 %]\n", + "Coefs : 2.70031 [ 60.78 %]\n", + "Output : 0.00143268 [ 0.03 %]\n", + "Levels : 0.000283862 [ 0.01 %]\n", + "Report : 4.8e-07 [ 0.00 %]\n", + "Balance : 2.67e-07 [ 0.00 %]\n", + "Adjust : 0.918852 [ 20.68 %]\n", + "Total : 4.44278 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6648 404 84 2 4 \n", + "1 : 6646 408 82 4 2 \n", + "2 : 6611 426 94 6 5 \n", + "3 : 6651 399 82 6 4 \n", + "4 : 6656 392 89 2 3 \n", + "5 : 6686 376 72 4 4 \n", + "6 : 6646 403 86 5 2 \n", + "7 : 6615 432 81 10 4 \n", + "8 : 6645 400 81 9 7 \n", + "9 : 6623 417 84 11 7 \n", + "10 : 6590 449 93 7 3 \n", + "11 : 6634 409 90 8 1 \n", + "12 : 6659 391 81 10 1 \n", + "13 : 6616 450 78 6 4 \n", + "\n", + "T : 92926 5756 1177 90 51 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.1474e-02 sec\n", + "--- Collate = 7.0337e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.509132e-05 < 6.250000e-03 [21]\n", + "--- Max DT=3.028781e-01 > 1.000000e-01 [70118]\n", + "----------------------------------------------------------------------\n", + " Component | low: 21/100000\n", + " Component | high: 70118/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=4.6] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000708892 [ 0.01 %]\n", + "Velocity : 0.00157581 [ 0.03 %]\n", + "Force : 0.691251 [ 14.30 %]\n", + "Coefs : 3.19425 [ 66.06 %]\n", + "Output : 0.00127424 [ 0.03 %]\n", + "Levels : 0.000278913 [ 0.01 %]\n", + "Report : 1.1e-06 [ 0.00 %]\n", + "Balance : 4.79e-07 [ 0.00 %]\n", + "Adjust : 0.946094 [ 19.57 %]\n", + "Total : 4.83549 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6648 405 83 3 3 \n", + "1 : 6646 409 81 4 2 \n", + "2 : 6611 424 96 7 4 \n", + "3 : 6651 399 82 9 1 \n", + "4 : 6658 390 88 4 2 \n", + "5 : 6688 374 73 4 3 \n", + "6 : 6646 404 86 4 2 \n", + "7 : 6615 432 80 11 4 \n", + "8 : 6645 401 80 8 8 \n", + "9 : 6622 417 85 9 9 \n", + "10 : 6588 451 93 6 4 \n", + "11 : 6634 409 88 10 1 \n", + "12 : 6660 390 83 8 1 \n", + "13 : 6614 452 77 8 3 \n", + "\n", + "T : 92926 5757 1175 95 47 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.3555e-02 sec\n", + "--- Collate = 1.0254e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.627579e-04 < 6.250000e-03 [19]\n", + "--- Max DT=3.028927e-01 > 1.000000e-01 [70121]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 70121/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=4.7] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000320122 [ 0.01 %]\n", + "Velocity : 0.0012821 [ 0.02 %]\n", + "Force : 0.930892 [ 18.07 %]\n", + "Coefs : 3.07376 [ 59.65 %]\n", + "Output : 0.00120675 [ 0.02 %]\n", + "Levels : 0.000285419 [ 0.01 %]\n", + "Report : 9.79e-07 [ 0.00 %]\n", + "Balance : 3.53e-07 [ 0.00 %]\n", + "Adjust : 1.14495 [ 22.22 %]\n", + "Total : 5.15276 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6653 398 85 4 2 \n", + "1 : 6644 412 80 4 2 \n", + "2 : 6612 422 98 3 7 \n", + "3 : 6652 397 83 8 2 \n", + "4 : 6660 388 87 4 3 \n", + "5 : 6688 372 76 4 2 \n", + "6 : 6646 404 86 4 2 \n", + "7 : 6616 432 79 12 3 \n", + "8 : 6645 401 81 9 6 \n", + "9 : 6622 417 84 9 10 \n", + "10 : 6585 453 94 6 4 \n", + "11 : 6633 411 87 10 1 \n", + "12 : 6660 391 82 7 2 \n", + "13 : 6615 451 76 8 4 \n", + "\n", + "T : 92931 5749 1178 92 50 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.2%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 9.7234e-02 sec\n", + "--- Collate = 1.3249e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.139144e-04 < 6.250000e-03 [17]\n", + "--- Max DT=3.029335e-01 > 1.000000e-01 [70123]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 70123/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=4.8] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000509083 [ 0.01 %]\n", + "Velocity : 0.00173817 [ 0.04 %]\n", + "Force : 0.730874 [ 16.25 %]\n", + "Coefs : 2.87664 [ 63.96 %]\n", + "Output : 0.00138029 [ 0.03 %]\n", + "Levels : 0.000421761 [ 0.01 %]\n", + "Report : 1.499e-06 [ 0.00 %]\n", + "Balance : 5.68e-07 [ 0.00 %]\n", + "Adjust : 0.885826 [ 19.70 %]\n", + "Total : 4.49745 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6652 399 83 6 2 \n", + "1 : 6643 414 79 4 2 \n", + "2 : 6610 424 98 3 7 \n", + "3 : 6651 398 83 6 4 \n", + "4 : 6661 385 89 5 2 \n", + "5 : 6687 372 73 7 3 \n", + "6 : 6646 405 84 4 3 \n", + "7 : 6615 433 79 12 3 \n", + "8 : 6644 401 83 8 6 \n", + "9 : 6623 416 85 7 11 \n", + "10 : 6585 451 97 6 3 \n", + "11 : 6634 409 88 11 0 \n", + "12 : 6663 386 84 6 3 \n", + "13 : 6616 452 74 8 4 \n", + "\n", + "T : 92930 5745 1179 93 53 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 5.6121e-02 sec\n", + "--- Collate = 1.3010e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.173485e-05 < 6.250000e-03 [22]\n", + "--- Max DT=3.029729e-01 > 1.000000e-01 [70126]\n", + "----------------------------------------------------------------------\n", + " Component | low: 22/100000\n", + " Component | high: 70126/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=4.9] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000416374 [ 0.01 %]\n", + "Velocity : 0.00582606 [ 0.13 %]\n", + "Force : 0.799887 [ 17.62 %]\n", + "Coefs : 2.75565 [ 60.69 %]\n", + "Output : 0.00157099 [ 0.03 %]\n", + "Levels : 0.000318445 [ 0.01 %]\n", + "Report : 9.42e-07 [ 0.00 %]\n", + "Balance : 3.75e-07 [ 0.00 %]\n", + "Adjust : 0.977134 [ 21.52 %]\n", + "Total : 4.54086 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6651 400 82 5 4 \n", + "1 : 6644 413 80 3 2 \n", + "2 : 6611 422 99 2 8 \n", + "3 : 6650 398 83 7 4 \n", + "4 : 6663 384 89 4 2 \n", + "5 : 6689 370 73 8 2 \n", + "6 : 6650 401 84 6 1 \n", + "7 : 6615 435 77 13 2 \n", + "8 : 6645 400 83 7 7 \n", + "9 : 6623 416 85 6 12 \n", + "10 : 6584 452 96 7 3 \n", + "11 : 6636 407 89 10 0 \n", + "12 : 6663 385 85 5 4 \n", + "13 : 6616 451 75 9 3 \n", + "\n", + "T : 92940 5734 1180 92 54 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 5.3477e-02 sec\n", + "--- Collate = 7.0269e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.829414e-05 < 6.250000e-03 [25]\n", + "--- Max DT=3.030117e-01 > 1.000000e-01 [70114]\n", + "----------------------------------------------------------------------\n", + " Component | low: 25/100000\n", + " Component | high: 70114/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=5] -------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000729021 [ 0.02 %]\n", + "Velocity : 0.00187486 [ 0.04 %]\n", + "Force : 0.714721 [ 16.61 %]\n", + "Coefs : 2.68747 [ 62.45 %]\n", + "Output : 0.0147786 [ 0.34 %]\n", + "Levels : 0.00028062 [ 0.01 %]\n", + "Report : 1.06e-06 [ 0.00 %]\n", + "Balance : 5.61e-07 [ 0.00 %]\n", + "Adjust : 0.883796 [ 20.54 %]\n", + "Total : 4.3037 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6651 400 81 7 3 \n", + "1 : 6644 413 80 3 2 \n", + "2 : 6611 424 96 4 7 \n", + "3 : 6648 400 82 7 5 \n", + "4 : 6663 384 89 4 2 \n", + "5 : 6688 368 76 8 2 \n", + "6 : 6651 399 85 4 3 \n", + "7 : 6616 434 79 10 3 \n", + "8 : 6645 400 83 7 7 \n", + "9 : 6622 419 83 7 11 \n", + "10 : 6585 451 96 8 2 \n", + "11 : 6635 408 90 8 1 \n", + "12 : 6662 386 84 6 4 \n", + "13 : 6616 451 74 10 3 \n", + "\n", + "T : 92937 5737 1178 93 55 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.6536e-02 sec\n", + "--- Collate = 2.0313e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.262447e-09 < 6.250000e-03 [29]\n", + "--- Max DT=3.030497e-01 > 1.000000e-01 [70108]\n", + "----------------------------------------------------------------------\n", + " Component | low: 29/100000\n", + " Component | high: 70108/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=5.1] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000681203 [ 0.02 %]\n", + "Velocity : 0.00458271 [ 0.11 %]\n", + "Force : 0.672166 [ 16.40 %]\n", + "Coefs : 2.56082 [ 62.47 %]\n", + "Output : 0.00105587 [ 0.03 %]\n", + "Levels : 0.0002968 [ 0.01 %]\n", + "Report : 1.15e-06 [ 0.00 %]\n", + "Balance : 5.73e-07 [ 0.00 %]\n", + "Adjust : 0.859373 [ 20.97 %]\n", + "Total : 4.09903 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6650 402 80 7 3 \n", + "1 : 6644 413 80 4 1 \n", + "2 : 6611 424 96 4 7 \n", + "3 : 6647 401 81 8 5 \n", + "4 : 6664 382 91 3 2 \n", + "5 : 6687 369 76 8 2 \n", + "6 : 6650 400 85 4 3 \n", + "7 : 6617 433 81 8 3 \n", + "8 : 6645 401 82 9 5 \n", + "9 : 6624 417 83 9 9 \n", + "10 : 6584 453 94 9 2 \n", + "11 : 6637 406 90 8 1 \n", + "12 : 6663 385 83 7 4 \n", + "13 : 6616 451 76 8 3 \n", + "\n", + "T : 92939 5737 1178 96 50 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0148e-01 sec\n", + "--- Collate = 1.4022e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.006481e-05 < 6.250000e-03 [27]\n", + "--- Max DT=3.030860e-01 > 1.000000e-01 [70108]\n", + "----------------------------------------------------------------------\n", + " Component | low: 27/100000\n", + " Component | high: 70108/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=5.2] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000392313 [ 0.01 %]\n", + "Velocity : 0.00130115 [ 0.03 %]\n", + "Force : 0.922078 [ 18.47 %]\n", + "Coefs : 2.99059 [ 59.90 %]\n", + "Output : 0.00116987 [ 0.02 %]\n", + "Levels : 0.000239301 [ 0.00 %]\n", + "Report : 6.89e-07 [ 0.00 %]\n", + "Balance : 4.21e-07 [ 0.00 %]\n", + "Adjust : 1.07666 [ 21.57 %]\n", + "Total : 4.99249 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6649 403 80 7 3 \n", + "1 : 6643 416 78 4 1 \n", + "2 : 6609 426 96 6 5 \n", + "3 : 6646 402 82 7 5 \n", + "4 : 6662 383 92 4 1 \n", + "5 : 6688 367 78 7 2 \n", + "6 : 6650 400 85 3 4 \n", + "7 : 6617 433 83 6 3 \n", + "8 : 6647 399 83 8 5 \n", + "9 : 6624 417 83 11 7 \n", + "10 : 6584 453 94 9 2 \n", + "11 : 6638 405 91 7 1 \n", + "12 : 6663 387 81 6 5 \n", + "13 : 6616 451 76 8 3 \n", + "\n", + "T : 92936 5742 1182 93 47 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.3542e-02 sec\n", + "--- Collate = 1.5009e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.042563e-05 < 6.250000e-03 [31]\n", + "--- Max DT=3.031221e-01 > 1.000000e-01 [70100]\n", + "----------------------------------------------------------------------\n", + " Component | low: 31/100000\n", + " Component | high: 70100/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=5.3] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000406031 [ 0.01 %]\n", + "Velocity : 0.00143345 [ 0.03 %]\n", + "Force : 0.812973 [ 17.12 %]\n", + "Coefs : 2.97312 [ 62.61 %]\n", + "Output : 0.0010201 [ 0.02 %]\n", + "Levels : 0.000269144 [ 0.01 %]\n", + "Report : 6.43e-07 [ 0.00 %]\n", + "Balance : 5.43e-07 [ 0.00 %]\n", + "Adjust : 0.959277 [ 20.20 %]\n", + "Total : 4.74856 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6649 403 80 7 3 \n", + "1 : 6640 419 78 4 1 \n", + "2 : 6608 427 97 7 3 \n", + "3 : 6645 403 83 6 5 \n", + "4 : 6662 384 91 3 2 \n", + "5 : 6689 366 78 7 2 \n", + "6 : 6650 400 84 4 4 \n", + "7 : 6617 432 84 6 3 \n", + "8 : 6649 398 84 6 5 \n", + "9 : 6624 418 82 10 8 \n", + "10 : 6583 454 94 8 3 \n", + "11 : 6635 409 89 8 1 \n", + "12 : 6663 386 82 6 5 \n", + "13 : 6615 451 77 7 4 \n", + "\n", + "T : 92929 5750 1183 89 49 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 6.5259e-02 sec\n", + "--- Collate = 3.3968e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.163596e-06 < 6.250000e-03 [27]\n", + "--- Max DT=3.031569e-01 > 1.000000e-01 [70097]\n", + "----------------------------------------------------------------------\n", + " Component | low: 27/100000\n", + " Component | high: 70097/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=5.4] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000363932 [ 0.01 %]\n", + "Velocity : 0.00142994 [ 0.03 %]\n", + "Force : 0.766336 [ 17.14 %]\n", + "Coefs : 2.73624 [ 61.19 %]\n", + "Output : 0.00129812 [ 0.03 %]\n", + "Levels : 0.000313373 [ 0.01 %]\n", + "Report : 1.462e-06 [ 0.00 %]\n", + "Balance : 5.91e-07 [ 0.00 %]\n", + "Adjust : 0.965627 [ 21.59 %]\n", + "Total : 4.47166 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6648 405 79 6 4 \n", + "1 : 6642 418 78 3 1 \n", + "2 : 6608 427 95 7 5 \n", + "3 : 6646 400 84 7 5 \n", + "4 : 6661 385 91 3 2 \n", + "5 : 6688 367 79 5 3 \n", + "6 : 6650 399 85 4 4 \n", + "7 : 6619 431 83 6 3 \n", + "8 : 6649 396 85 8 4 \n", + "9 : 6622 421 82 8 9 \n", + "10 : 6585 453 94 7 3 \n", + "11 : 6636 408 90 7 1 \n", + "12 : 6663 386 81 6 6 \n", + "13 : 6613 453 78 6 4 \n", + "\n", + "T : 92930 5749 1184 83 54 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 3.9692e-02 sec\n", + "--- Collate = 2.0157e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.822905e-05 < 6.250000e-03 [32]\n", + "--- Max DT=3.031910e-01 > 1.000000e-01 [70093]\n", + "----------------------------------------------------------------------\n", + " Component | low: 32/100000\n", + " Component | high: 70093/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=5.5] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000525698 [ 0.01 %]\n", + "Velocity : 0.00123973 [ 0.03 %]\n", + "Force : 0.747631 [ 16.54 %]\n", + "Coefs : 2.91835 [ 64.56 %]\n", + "Output : 0.000929829 [ 0.02 %]\n", + "Levels : 0.000137677 [ 0.00 %]\n", + "Report : 3.5e-07 [ 0.00 %]\n", + "Balance : 2.05e-07 [ 0.00 %]\n", + "Adjust : 0.85137 [ 18.83 %]\n", + "Total : 4.52022 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6645 408 80 5 4 \n", + "1 : 6643 417 78 3 1 \n", + "2 : 6607 428 95 7 5 \n", + "3 : 6644 402 83 7 6 \n", + "4 : 6661 385 91 2 3 \n", + "5 : 6687 369 76 7 3 \n", + "6 : 6649 400 86 3 4 \n", + "7 : 6620 429 82 8 3 \n", + "8 : 6650 393 85 10 4 \n", + "9 : 6622 421 82 7 10 \n", + "10 : 6585 454 93 6 4 \n", + "11 : 6636 405 93 5 3 \n", + "12 : 6660 389 82 5 6 \n", + "13 : 6612 454 78 7 3 \n", + "\n", + "T : 92921 5754 1184 82 59 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 5.7773e-02 sec\n", + "--- Collate = 2.2013e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.451578e-04 < 6.250000e-03 [29]\n", + "--- Max DT=3.032242e-01 > 1.000000e-01 [70099]\n", + "----------------------------------------------------------------------\n", + " Component | low: 29/100000\n", + " Component | high: 70099/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=5.6] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000331348 [ 0.01 %]\n", + "Velocity : 0.00107451 [ 0.03 %]\n", + "Force : 0.573097 [ 16.46 %]\n", + "Coefs : 2.16708 [ 62.22 %]\n", + "Output : 0.000727912 [ 0.02 %]\n", + "Levels : 0.000150744 [ 0.00 %]\n", + "Report : 9.47e-07 [ 0.00 %]\n", + "Balance : 1.16e-07 [ 0.00 %]\n", + "Adjust : 0.740171 [ 21.25 %]\n", + "Total : 3.48266 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6645 407 82 5 3 \n", + "1 : 6642 419 76 5 0 \n", + "2 : 6606 429 95 7 5 \n", + "3 : 6641 405 84 7 5 \n", + "4 : 6662 384 90 3 3 \n", + "5 : 6687 368 77 7 3 \n", + "6 : 6650 399 87 2 4 \n", + "7 : 6619 429 82 8 4 \n", + "8 : 6649 394 85 7 7 \n", + "9 : 6622 422 81 10 7 \n", + "10 : 6586 453 93 7 3 \n", + "11 : 6636 405 93 5 3 \n", + "12 : 6660 389 82 6 5 \n", + "13 : 6610 457 77 7 3 \n", + "\n", + "T : 92915 5760 1184 86 55 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.1778e-02 sec\n", + "--- Collate = 6.0631e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.138068e-05 < 6.250000e-03 [26]\n", + "--- Max DT=3.032562e-01 > 1.000000e-01 [70097]\n", + "----------------------------------------------------------------------\n", + " Component | low: 26/100000\n", + " Component | high: 70097/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=5.7] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000278288 [ 0.01 %]\n", + "Velocity : 0.000845788 [ 0.02 %]\n", + "Force : 0.63029 [ 15.97 %]\n", + "Coefs : 2.49044 [ 63.10 %]\n", + "Output : 0.000552492 [ 0.01 %]\n", + "Levels : 0.000115942 [ 0.00 %]\n", + "Report : 3.75e-07 [ 0.00 %]\n", + "Balance : 1.41e-07 [ 0.00 %]\n", + "Adjust : 0.824336 [ 20.89 %]\n", + "Total : 3.94689 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6645 405 84 4 4 \n", + "1 : 6643 418 77 4 0 \n", + "2 : 6602 433 95 8 4 \n", + "3 : 6641 404 84 9 4 \n", + "4 : 6662 383 92 2 3 \n", + "5 : 6686 369 79 5 3 \n", + "6 : 6651 397 88 2 4 \n", + "7 : 6619 429 82 8 4 \n", + "8 : 6650 395 84 7 6 \n", + "9 : 6623 422 79 11 7 \n", + "10 : 6585 454 94 6 3 \n", + "11 : 6635 406 93 3 5 \n", + "12 : 6662 386 83 5 6 \n", + "13 : 6611 455 78 7 3 \n", + "\n", + "T : 92915 5756 1192 81 56 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 3.5338e-02 sec\n", + "--- Collate = 8.0251e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.994508e-05 < 6.250000e-03 [25]\n", + "--- Max DT=3.032872e-01 > 1.000000e-01 [70090]\n", + "----------------------------------------------------------------------\n", + " Component | low: 25/100000\n", + " Component | high: 70090/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=5.8] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000344177 [ 0.01 %]\n", + "Velocity : 0.0015197 [ 0.04 %]\n", + "Force : 0.59423 [ 15.05 %]\n", + "Coefs : 2.52965 [ 64.08 %]\n", + "Output : 0.000663497 [ 0.02 %]\n", + "Levels : 0.00013577 [ 0.00 %]\n", + "Report : 4.51e-07 [ 0.00 %]\n", + "Balance : 1.48e-07 [ 0.00 %]\n", + "Adjust : 0.821111 [ 20.80 %]\n", + "Total : 3.94768 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6645 405 84 4 4 \n", + "1 : 6643 418 77 3 1 \n", + "2 : 6605 433 92 9 3 \n", + "3 : 6640 407 81 9 5 \n", + "4 : 6663 385 88 3 3 \n", + "5 : 6687 370 77 5 3 \n", + "6 : 6653 395 88 3 3 \n", + "7 : 6618 431 79 11 3 \n", + "8 : 6650 395 84 7 6 \n", + "9 : 6624 422 78 10 8 \n", + "10 : 6584 455 94 5 4 \n", + "11 : 6639 402 93 4 4 \n", + "12 : 6661 387 82 6 6 \n", + "13 : 6612 453 79 8 2 \n", + "\n", + "T : 92924 5758 1176 87 55 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.3493e-02 sec\n", + "--- Collate = 1.6029e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.040723e-04 < 6.250000e-03 [28]\n", + "--- Max DT=3.033173e-01 > 1.000000e-01 [70087]\n", + "----------------------------------------------------------------------\n", + " Component | low: 28/100000\n", + " Component | high: 70087/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=5.9] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00031482 [ 0.01 %]\n", + "Velocity : 0.00133223 [ 0.03 %]\n", + "Force : 0.637308 [ 15.75 %]\n", + "Coefs : 2.60721 [ 64.43 %]\n", + "Output : 0.000848783 [ 0.02 %]\n", + "Levels : 0.000344099 [ 0.01 %]\n", + "Report : 1.332e-06 [ 0.00 %]\n", + "Balance : 7.29e-07 [ 0.00 %]\n", + "Adjust : 0.798873 [ 19.74 %]\n", + "Total : 4.04627 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6642 409 83 4 4 \n", + "1 : 6644 417 77 2 2 \n", + "2 : 6606 430 94 9 3 \n", + "3 : 6642 405 82 9 4 \n", + "4 : 6660 388 88 3 3 \n", + "5 : 6684 374 76 5 3 \n", + "6 : 6653 395 88 2 4 \n", + "7 : 6617 431 79 13 2 \n", + "8 : 6651 395 83 7 6 \n", + "9 : 6628 418 77 12 7 \n", + "10 : 6582 457 91 8 4 \n", + "11 : 6637 407 90 3 5 \n", + "12 : 6660 387 83 7 5 \n", + "13 : 6611 456 77 9 1 \n", + "\n", + "T : 92917 5769 1168 93 53 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.8368e-02 sec\n", + "--- Collate = 5.0685e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.957669e-05 < 6.250000e-03 [27]\n", + "--- Max DT=3.033465e-01 > 1.000000e-01 [70085]\n", + "----------------------------------------------------------------------\n", + " Component | low: 27/100000\n", + " Component | high: 70085/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=6] -------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000470966 [ 0.01 %]\n", + "Velocity : 0.00171632 [ 0.05 %]\n", + "Force : 0.672358 [ 17.89 %]\n", + "Coefs : 2.35157 [ 62.57 %]\n", + "Output : 0.0107775 [ 0.29 %]\n", + "Levels : 0.000577305 [ 0.02 %]\n", + "Report : 1.124e-06 [ 0.00 %]\n", + "Balance : 4.6e-07 [ 0.00 %]\n", + "Adjust : 0.720966 [ 19.18 %]\n", + "Total : 3.7585 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6642 409 83 5 3 \n", + "1 : 6641 419 77 3 2 \n", + "2 : 6608 429 93 7 5 \n", + "3 : 6643 404 85 8 2 \n", + "4 : 6659 389 87 4 3 \n", + "5 : 6685 373 77 3 4 \n", + "6 : 6652 396 88 3 3 \n", + "7 : 6618 430 79 13 2 \n", + "8 : 6652 394 82 10 4 \n", + "9 : 6625 421 77 14 5 \n", + "10 : 6580 462 88 9 3 \n", + "11 : 6640 404 90 3 5 \n", + "12 : 6659 387 84 7 5 \n", + "13 : 6610 457 79 7 1 \n", + "\n", + "T : 92914 5774 1169 96 47 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 6.6190e-02 sec\n", + "--- Collate = 3.4379e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.172825e-05 < 6.250000e-03 [26]\n", + "--- Max DT=3.033743e-01 > 1.000000e-01 [70088]\n", + "----------------------------------------------------------------------\n", + " Component | low: 26/100000\n", + " Component | high: 70088/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=6.1] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00107963 [ 0.03 %]\n", + "Velocity : 0.00286396 [ 0.08 %]\n", + "Force : 0.585446 [ 16.97 %]\n", + "Coefs : 2.18417 [ 63.30 %]\n", + "Output : 0.00170288 [ 0.05 %]\n", + "Levels : 0.000265286 [ 0.01 %]\n", + "Report : 4.76e-07 [ 0.00 %]\n", + "Balance : 2.95e-07 [ 0.00 %]\n", + "Adjust : 0.674903 [ 19.56 %]\n", + "Total : 3.45049 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6641 411 81 5 4 \n", + "1 : 6642 416 79 3 2 \n", + "2 : 6609 428 94 5 6 \n", + "3 : 6644 403 86 7 2 \n", + "4 : 6657 391 88 4 2 \n", + "5 : 6683 375 78 2 4 \n", + "6 : 6652 397 86 4 3 \n", + "7 : 6618 430 79 12 3 \n", + "8 : 6651 395 81 10 5 \n", + "9 : 6626 420 77 13 6 \n", + "10 : 6580 462 88 9 3 \n", + "11 : 6640 405 89 4 4 \n", + "12 : 6659 386 85 8 4 \n", + "13 : 6609 459 77 7 2 \n", + "\n", + "T : 92911 5778 1168 93 50 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 21.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.8013e-02 sec\n", + "--- Collate = 9.4085e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.536298e-04 < 6.250000e-03 [21]\n", + "--- Max DT=3.034014e-01 > 1.000000e-01 [70096]\n", + "----------------------------------------------------------------------\n", + " Component | low: 21/100000\n", + " Component | high: 70096/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=6.2] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00105514 [ 0.02 %]\n", + "Velocity : 0.00187002 [ 0.04 %]\n", + "Force : 0.809096 [ 17.10 %]\n", + "Coefs : 2.95469 [ 62.44 %]\n", + "Output : 0.00159731 [ 0.03 %]\n", + "Levels : 0.00032526 [ 0.01 %]\n", + "Report : 1.143e-06 [ 0.00 %]\n", + "Balance : 5.58e-07 [ 0.00 %]\n", + "Adjust : 0.962973 [ 20.35 %]\n", + "Total : 4.73167 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6642 410 81 5 4 \n", + "1 : 6641 417 79 3 2 \n", + "2 : 6607 431 94 5 5 \n", + "3 : 6647 399 87 7 2 \n", + "4 : 6660 389 87 4 2 \n", + "5 : 6685 373 75 5 4 \n", + "6 : 6652 397 86 5 2 \n", + "7 : 6616 434 77 12 3 \n", + "8 : 6650 395 83 9 5 \n", + "9 : 6625 420 79 10 8 \n", + "10 : 6580 463 86 10 3 \n", + "11 : 6641 404 89 4 4 \n", + "12 : 6654 393 83 8 4 \n", + "13 : 6614 453 78 6 3 \n", + "\n", + "T : 92914 5778 1164 93 51 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.2%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 9.5928e-02 sec\n", + "--- Collate = 8.0315e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.633179e-05 < 6.250000e-03 [24]\n", + "--- Max DT=3.034266e-01 > 1.000000e-01 [70094]\n", + "----------------------------------------------------------------------\n", + " Component | low: 24/100000\n", + " Component | high: 70094/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=6.3] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000436278 [ 0.01 %]\n", + "Velocity : 0.00227724 [ 0.05 %]\n", + "Force : 0.783699 [ 16.44 %]\n", + "Coefs : 2.95342 [ 61.97 %]\n", + "Output : 0.00154398 [ 0.03 %]\n", + "Levels : 0.000295035 [ 0.01 %]\n", + "Report : 6.73e-07 [ 0.00 %]\n", + "Balance : 2.72e-07 [ 0.00 %]\n", + "Adjust : 1.02448 [ 21.49 %]\n", + "Total : 4.76622 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6643 409 81 5 4 \n", + "1 : 6640 417 80 3 2 \n", + "2 : 6608 430 94 7 3 \n", + "3 : 6646 400 87 8 1 \n", + "4 : 6660 388 87 5 2 \n", + "5 : 6686 373 74 6 3 \n", + "6 : 6651 398 87 4 2 \n", + "7 : 6618 431 79 11 3 \n", + "8 : 6648 397 83 10 4 \n", + "9 : 6625 418 82 11 6 \n", + "10 : 6579 464 85 12 2 \n", + "11 : 6641 404 89 4 4 \n", + "12 : 6655 392 82 11 2 \n", + "13 : 6616 451 78 7 2 \n", + "\n", + "T : 92916 5772 1168 104 40 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 6.4382e-02 sec\n", + "--- Collate = 7.0310e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.608150e-05 < 6.250000e-03 [24]\n", + "--- Max DT=3.034511e-01 > 1.000000e-01 [70099]\n", + "----------------------------------------------------------------------\n", + " Component | low: 24/100000\n", + " Component | high: 70099/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=6.4] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000738988 [ 0.02 %]\n", + "Velocity : 0.00219395 [ 0.05 %]\n", + "Force : 0.763424 [ 16.20 %]\n", + "Coefs : 2.94157 [ 62.41 %]\n", + "Output : 0.00151072 [ 0.03 %]\n", + "Levels : 0.000379325 [ 0.01 %]\n", + "Report : 1.415e-06 [ 0.00 %]\n", + "Balance : 7.17e-07 [ 0.00 %]\n", + "Adjust : 1.00332 [ 21.29 %]\n", + "Total : 4.7132 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6642 409 81 7 3 \n", + "1 : 6641 415 81 2 3 \n", + "2 : 6608 429 94 8 3 \n", + "3 : 6646 400 87 6 3 \n", + "4 : 6656 392 87 6 1 \n", + "5 : 6683 376 74 7 2 \n", + "6 : 6651 398 87 3 3 \n", + "7 : 6619 430 80 9 4 \n", + "8 : 6649 396 83 10 4 \n", + "9 : 6626 416 83 11 6 \n", + "10 : 6580 464 84 12 2 \n", + "11 : 6640 405 90 3 4 \n", + "12 : 6654 393 82 11 2 \n", + "13 : 6615 451 79 7 2 \n", + "\n", + "T : 92910 5774 1172 102 42 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.6080e-02 sec\n", + "--- Collate = 1.2043e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.000055e-04 < 6.250000e-03 [20]\n", + "--- Max DT=3.034739e-01 > 1.000000e-01 [70098]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 70098/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=6.5] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000591323 [ 0.01 %]\n", + "Velocity : 0.00209651 [ 0.04 %]\n", + "Force : 0.84191 [ 15.74 %]\n", + "Coefs : 3.39456 [ 63.45 %]\n", + "Output : 0.00136951 [ 0.03 %]\n", + "Levels : 0.000329527 [ 0.01 %]\n", + "Report : 5.51e-07 [ 0.00 %]\n", + "Balance : 3.23e-07 [ 0.00 %]\n", + "Adjust : 1.10886 [ 20.73 %]\n", + "Total : 5.34978 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6641 410 81 7 3 \n", + "1 : 6640 415 81 3 3 \n", + "2 : 6611 426 94 8 3 \n", + "3 : 6647 400 86 5 4 \n", + "4 : 6657 392 86 6 1 \n", + "5 : 6684 375 74 7 2 \n", + "6 : 6651 398 87 2 4 \n", + "7 : 6618 431 80 9 4 \n", + "8 : 6649 396 83 12 2 \n", + "9 : 6626 416 83 10 7 \n", + "10 : 6580 465 83 11 3 \n", + "11 : 6638 407 90 4 3 \n", + "12 : 6654 393 81 11 3 \n", + "13 : 6617 449 79 7 2 \n", + "\n", + "T : 92913 5773 1168 102 44 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 9.5070e-02 sec\n", + "--- Collate = 1.0807e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.439165e-04 < 6.250000e-03 [20]\n", + "--- Max DT=3.034952e-01 > 1.000000e-01 [70093]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 70093/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=6.6] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000517135 [ 0.01 %]\n", + "Velocity : 0.00352997 [ 0.07 %]\n", + "Force : 0.844951 [ 15.96 %]\n", + "Coefs : 3.36646 [ 63.57 %]\n", + "Output : 0.00158809 [ 0.03 %]\n", + "Levels : 0.000326685 [ 0.01 %]\n", + "Report : 9.09e-07 [ 0.00 %]\n", + "Balance : 4.86e-07 [ 0.00 %]\n", + "Adjust : 1.07789 [ 20.36 %]\n", + "Total : 5.29533 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6641 408 83 6 4 \n", + "1 : 6641 414 81 2 4 \n", + "2 : 6610 427 93 8 4 \n", + "3 : 6643 403 88 4 4 \n", + "4 : 6658 391 86 6 1 \n", + "5 : 6683 376 74 7 2 \n", + "6 : 6650 399 86 3 4 \n", + "7 : 6620 430 79 10 3 \n", + "8 : 6649 396 84 11 2 \n", + "9 : 6626 416 83 10 7 \n", + "10 : 6580 465 83 10 4 \n", + "11 : 6638 408 89 5 2 \n", + "12 : 6653 395 80 9 5 \n", + "13 : 6616 449 79 8 2 \n", + "\n", + "T : 92908 5777 1168 99 48 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.2%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 6.7509e-02 sec\n", + "--- Collate = 1.7032e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.809200e-04 < 6.250000e-03 [19]\n", + "--- Max DT=3.035156e-01 > 1.000000e-01 [70090]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 70090/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=6.7] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000516588 [ 0.01 %]\n", + "Velocity : 0.0100215 [ 0.18 %]\n", + "Force : 0.863447 [ 15.45 %]\n", + "Coefs : 3.54324 [ 63.40 %]\n", + "Output : 0.00154965 [ 0.03 %]\n", + "Levels : 0.000312336 [ 0.01 %]\n", + "Report : 5.51e-07 [ 0.00 %]\n", + "Balance : 4.05e-07 [ 0.00 %]\n", + "Adjust : 1.16926 [ 20.92 %]\n", + "Total : 5.58841 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6641 408 85 4 4 \n", + "1 : 6642 413 81 2 4 \n", + "2 : 6612 425 95 6 4 \n", + "3 : 6643 402 88 5 4 \n", + "4 : 6658 392 86 5 1 \n", + "5 : 6683 375 75 7 2 \n", + "6 : 6648 401 85 5 3 \n", + "7 : 6619 431 80 9 3 \n", + "8 : 6647 396 86 9 4 \n", + "9 : 6623 417 85 9 8 \n", + "10 : 6579 466 84 8 5 \n", + "11 : 6639 407 89 6 1 \n", + "12 : 6656 392 80 11 3 \n", + "13 : 6616 448 81 7 2 \n", + "\n", + "T : 92906 5773 1180 93 48 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 5.7521e-02 sec\n", + "--- Collate = 1.9003e-04 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.203938e-04 < 6.250000e-03 [19]\n", + "--- Max DT=3.035348e-01 > 1.000000e-01 [70084]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 70084/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=6.8] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000584188 [ 0.01 %]\n", + "Velocity : 0.00196231 [ 0.04 %]\n", + "Force : 0.741418 [ 16.07 %]\n", + "Coefs : 2.89127 [ 62.67 %]\n", + "Output : 0.0015523 [ 0.03 %]\n", + "Levels : 0.000302922 [ 0.01 %]\n", + "Report : 1.153e-06 [ 0.00 %]\n", + "Balance : 4.03e-07 [ 0.00 %]\n", + "Adjust : 0.976404 [ 21.16 %]\n", + "Total : 4.61355 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6641 408 86 3 4 \n", + "1 : 6643 412 81 2 4 \n", + "2 : 6614 423 95 6 4 \n", + "3 : 6644 401 88 6 3 \n", + "4 : 6659 391 87 3 2 \n", + "5 : 6683 376 75 6 2 \n", + "6 : 6647 402 85 6 2 \n", + "7 : 6619 431 81 8 3 \n", + "8 : 6649 393 87 9 4 \n", + "9 : 6623 417 86 10 6 \n", + "10 : 6580 465 85 8 4 \n", + "11 : 6640 407 88 6 1 \n", + "12 : 6656 392 80 10 4 \n", + "13 : 6614 449 81 8 2 \n", + "\n", + "T : 92912 5767 1185 91 45 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info in comp, mlevel=3--------------------------------------\n", + "----------------------------------------------------------------------\n", + " COM: 2.593810e-04\n", + " Position: 2.193535e+01\n", + " --------------------------------------------------\n", + " *** fix pos : 1.099097e+01 \n", + " --------------------------------------------------\n", + " Ang mom: 3.231273e+00\n", + " Zero: 6.868016e-02\n", + " Accel: 2.745265e+00\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " Interaction: 3.794840e-04\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " External: 6.263470e-04\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " Expand: 1.872117e+02\n", + " Force: 2.821158e+00\n", + " Elapsed: 3.001724e+02\n", + "----------------------------------------------------------------------\n", + "\n", + "mstep/Mstep=14/16\n", + "0 |71 1 |69 2 |138 3 |276 4 |551 \n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 5.8779e-02 sec\n", + "--- Collate = 5.8120e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.476453e-05 < 6.250000e-03 [20]\n", + "--- Max DT=3.035520e-01 > 1.000000e-01 [70076]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 70076/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=6.9] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000632593 [ 0.01 %]\n", + "Velocity : 0.00162621 [ 0.04 %]\n", + "Force : 0.736374 [ 15.88 %]\n", + "Coefs : 2.9909 [ 64.48 %]\n", + "Output : 0.00145571 [ 0.03 %]\n", + "Levels : 0.000339952 [ 0.01 %]\n", + "Report : 1.011e-06 [ 0.00 %]\n", + "Balance : 3.83e-07 [ 0.00 %]\n", + "Adjust : 0.906964 [ 19.55 %]\n", + "Total : 4.63835 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6642 408 85 3 4 \n", + "1 : 6643 412 81 3 3 \n", + "2 : 6610 428 94 6 4 \n", + "3 : 6644 403 86 7 2 \n", + "4 : 6660 390 87 4 1 \n", + "5 : 6683 377 74 7 1 \n", + "6 : 6647 403 85 5 2 \n", + "7 : 6619 430 80 9 4 \n", + "8 : 6652 390 87 9 4 \n", + "9 : 6624 415 87 11 5 \n", + "10 : 6580 465 86 7 4 \n", + "11 : 6640 407 88 6 1 \n", + "12 : 6657 391 81 8 5 \n", + "13 : 6616 448 80 8 2 \n", + "\n", + "T : 92917 5767 1181 93 42 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.2%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0057e-01 sec\n", + "--- Collate = 3.8251e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.733483e-04 < 6.250000e-03 [24]\n", + "--- Max DT=3.035688e-01 > 1.000000e-01 [70078]\n", + "----------------------------------------------------------------------\n", + " Component | low: 24/100000\n", + " Component | high: 70078/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=7] -------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000614513 [ 0.01 %]\n", + "Velocity : 0.00150705 [ 0.04 %]\n", + "Force : 0.724771 [ 17.00 %]\n", + "Coefs : 2.63725 [ 61.84 %]\n", + "Output : 0.0104024 [ 0.24 %]\n", + "Levels : 0.000244008 [ 0.01 %]\n", + "Report : 1.444e-06 [ 0.00 %]\n", + "Balance : 1.123e-06 [ 0.00 %]\n", + "Adjust : 0.889653 [ 20.86 %]\n", + "Total : 4.2645 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6641 410 83 5 3 \n", + "1 : 6642 414 80 2 4 \n", + "2 : 6610 427 95 8 2 \n", + "3 : 6645 402 85 9 1 \n", + "4 : 6660 390 86 5 1 \n", + "5 : 6682 380 73 6 1 \n", + "6 : 6644 405 86 5 2 \n", + "7 : 6617 431 82 7 5 \n", + "8 : 6650 391 88 9 4 \n", + "9 : 6626 411 89 11 5 \n", + "10 : 6578 465 88 7 4 \n", + "11 : 6641 405 89 4 3 \n", + "12 : 6657 390 82 8 5 \n", + "13 : 6616 449 79 7 3 \n", + "\n", + "T : 92909 5770 1185 93 43 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.6309e-02 sec\n", + "--- Collate = 1.2020e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.500898e-04 < 6.250000e-03 [26]\n", + "--- Max DT=3.035836e-01 > 1.000000e-01 [70071]\n", + "----------------------------------------------------------------------\n", + " Component | low: 26/100000\n", + " Component | high: 70071/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=7.1] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000654593 [ 0.01 %]\n", + "Velocity : 0.00208549 [ 0.05 %]\n", + "Force : 0.625943 [ 14.32 %]\n", + "Coefs : 2.76576 [ 63.27 %]\n", + "Output : 0.00129941 [ 0.03 %]\n", + "Levels : 0.00027405 [ 0.01 %]\n", + "Report : 6.99e-07 [ 0.00 %]\n", + "Balance : 4.05e-07 [ 0.00 %]\n", + "Adjust : 0.975194 [ 22.31 %]\n", + "Total : 4.37126 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6640 410 84 6 2 \n", + "1 : 6643 411 81 3 4 \n", + "2 : 6609 428 95 9 1 \n", + "3 : 6644 403 84 9 2 \n", + "4 : 6657 393 85 6 1 \n", + "5 : 6681 380 75 5 1 \n", + "6 : 6645 405 86 4 2 \n", + "7 : 6617 431 82 6 6 \n", + "8 : 6652 389 89 8 4 \n", + "9 : 6625 413 88 11 5 \n", + "10 : 6574 470 87 7 4 \n", + "11 : 6640 406 89 3 4 \n", + "12 : 6658 389 84 5 6 \n", + "13 : 6617 448 79 8 2 \n", + "\n", + "T : 92902 5776 1188 90 44 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 6.5561e-02 sec\n", + "--- Collate = 3.1917e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.765303e-05 < 6.250000e-03 [26]\n", + "--- Max DT=3.035975e-01 > 1.000000e-01 [70071]\n", + "----------------------------------------------------------------------\n", + " Component | low: 26/100000\n", + " Component | high: 70071/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=7.2] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000432235 [ 0.01 %]\n", + "Velocity : 0.00125641 [ 0.04 %]\n", + "Force : 0.576649 [ 16.11 %]\n", + "Coefs : 2.27073 [ 63.45 %]\n", + "Output : 0.00100135 [ 0.03 %]\n", + "Levels : 0.000306625 [ 0.01 %]\n", + "Report : 5.64e-07 [ 0.00 %]\n", + "Balance : 4.13e-07 [ 0.00 %]\n", + "Adjust : 0.728142 [ 20.35 %]\n", + "Total : 3.57857 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6641 410 83 6 2 \n", + "1 : 6646 408 81 3 4 \n", + "2 : 6609 428 94 9 2 \n", + "3 : 6644 403 86 7 2 \n", + "4 : 6655 394 88 5 0 \n", + "5 : 6680 381 76 5 0 \n", + "6 : 6646 404 86 4 2 \n", + "7 : 6616 433 81 6 6 \n", + "8 : 6655 386 89 8 4 \n", + "9 : 6628 410 89 9 6 \n", + "10 : 6572 471 88 9 2 \n", + "11 : 6639 407 89 3 4 \n", + "12 : 6659 389 82 6 6 \n", + "13 : 6617 447 81 7 2 \n", + "\n", + "T : 92907 5771 1193 87 42 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 5.8375e-02 sec\n", + "--- Collate = 6.0248e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.149183e-04 < 6.250000e-03 [21]\n", + "--- Max DT=3.036106e-01 > 1.000000e-01 [70069]\n", + "----------------------------------------------------------------------\n", + " Component | low: 21/100000\n", + " Component | high: 70069/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=7.3] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000825373 [ 0.02 %]\n", + "Velocity : 0.00191033 [ 0.04 %]\n", + "Force : 0.640372 [ 15.07 %]\n", + "Coefs : 2.69906 [ 63.53 %]\n", + "Output : 0.00160949 [ 0.04 %]\n", + "Levels : 0.000353554 [ 0.01 %]\n", + "Report : 1.025e-06 [ 0.00 %]\n", + "Balance : 4.39e-07 [ 0.00 %]\n", + "Adjust : 0.904388 [ 21.29 %]\n", + "Total : 4.24859 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6638 414 82 6 2 \n", + "1 : 6647 407 81 3 4 \n", + "2 : 6606 429 96 8 3 \n", + "3 : 6645 402 86 7 2 \n", + "4 : 6654 396 87 5 0 \n", + "5 : 6678 384 75 3 2 \n", + "6 : 6648 402 85 5 2 \n", + "7 : 6614 435 81 7 5 \n", + "8 : 6652 388 90 8 4 \n", + "9 : 6627 411 88 9 7 \n", + "10 : 6571 472 86 11 2 \n", + "11 : 6639 407 89 3 4 \n", + "12 : 6660 389 80 9 4 \n", + "13 : 6615 448 82 8 1 \n", + "\n", + "T : 92894 5784 1188 92 42 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.4327e-02 sec\n", + "--- Collate = 7.0143e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.493366e-04 < 6.250000e-03 [21]\n", + "--- Max DT=3.036222e-01 > 1.000000e-01 [70068]\n", + "----------------------------------------------------------------------\n", + " Component | low: 21/100000\n", + " Component | high: 70068/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=7.4] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000834849 [ 0.02 %]\n", + "Velocity : 0.00206968 [ 0.06 %]\n", + "Force : 0.548111 [ 16.13 %]\n", + "Coefs : 2.07684 [ 61.13 %]\n", + "Output : 0.0015495 [ 0.05 %]\n", + "Levels : 0.00021539 [ 0.01 %]\n", + "Report : 9.31e-07 [ 0.00 %]\n", + "Balance : 2.98e-07 [ 0.00 %]\n", + "Adjust : 0.767648 [ 22.60 %]\n", + "Total : 3.39733 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6638 415 83 5 1 \n", + "1 : 6645 409 81 4 3 \n", + "2 : 6607 428 96 8 3 \n", + "3 : 6646 401 87 5 3 \n", + "4 : 6654 395 88 5 0 \n", + "5 : 6677 385 75 3 2 \n", + "6 : 6649 401 85 6 1 \n", + "7 : 6614 434 80 9 5 \n", + "8 : 6652 388 89 9 4 \n", + "9 : 6626 412 88 7 9 \n", + "10 : 6571 471 87 11 2 \n", + "11 : 6640 405 90 3 4 \n", + "12 : 6661 388 80 8 5 \n", + "13 : 6618 444 83 7 2 \n", + "\n", + "T : 92898 5776 1192 90 44 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.7473e-02 sec\n", + "--- Collate = 6.9935e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.144394e-04 < 6.250000e-03 [21]\n", + "--- Max DT=3.036329e-01 > 1.000000e-01 [70070]\n", + "----------------------------------------------------------------------\n", + " Component | low: 21/100000\n", + " Component | high: 70070/100000\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=7.5] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000267928 [ 0.01 %]\n", + "Velocity : 0.0012811 [ 0.04 %]\n", + "Force : 0.541397 [ 15.44 %]\n", + "Coefs : 2.2202 [ 63.32 %]\n", + "Output : 0.00123923 [ 0.04 %]\n", + "Levels : 0.00851782 [ 0.24 %]\n", + "Report : 7.49e-07 [ 0.00 %]\n", + "Balance : 4.86e-07 [ 0.00 %]\n", + "Adjust : 0.733079 [ 20.91 %]\n", + "Total : 3.50604 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6638 415 83 5 1 \n", + "1 : 6647 406 83 3 3 \n", + "2 : 6607 428 96 8 3 \n", + "3 : 6645 402 88 3 4 \n", + "4 : 6656 394 86 6 0 \n", + "5 : 6676 385 76 3 2 \n", + "6 : 6648 402 85 7 0 \n", + "7 : 6615 433 80 8 6 \n", + "8 : 6652 388 89 10 3 \n", + "9 : 6626 413 87 9 7 \n", + "10 : 6572 469 87 13 1 \n", + "11 : 6639 405 91 3 4 \n", + "12 : 6661 389 81 7 4 \n", + "13 : 6618 444 84 6 2 \n", + "\n", + "T : 92900 5773 1196 91 40 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.6073e-02 sec\n", + "--- Collate = 9.0029e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.459115e-04 < 6.250000e-03 [17]\n", + "--- Max DT=3.036422e-01 > 1.000000e-01 [70078]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 70078/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=7.6] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000452745 [ 0.01 %]\n", + "Velocity : 0.00167583 [ 0.04 %]\n", + "Force : 0.698429 [ 17.26 %]\n", + "Coefs : 2.52636 [ 62.44 %]\n", + "Output : 0.00151853 [ 0.04 %]\n", + "Levels : 0.000286378 [ 0.01 %]\n", + "Report : 5.26e-07 [ 0.00 %]\n", + "Balance : 2.7e-07 [ 0.00 %]\n", + "Adjust : 0.817239 [ 20.20 %]\n", + "Total : 4.04602 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6635 417 84 6 0 \n", + "1 : 6647 405 83 6 1 \n", + "2 : 6607 428 98 7 2 \n", + "3 : 6645 402 89 2 4 \n", + "4 : 6656 394 86 6 0 \n", + "5 : 6677 384 76 3 2 \n", + "6 : 6648 403 85 6 0 \n", + "7 : 6614 434 79 9 6 \n", + "8 : 6650 390 89 9 4 \n", + "9 : 6624 414 88 8 8 \n", + "10 : 6571 472 86 12 1 \n", + "11 : 6636 408 91 2 5 \n", + "12 : 6662 387 81 6 6 \n", + "13 : 6618 444 84 6 2 \n", + "\n", + "T : 92890 5782 1199 88 41 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 18.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 5.6402e-02 sec\n", + "--- Collate = 7.5528e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.158986e-04 < 6.250000e-03 [18]\n", + "--- Max DT=3.036509e-01 > 1.000000e-01 [70075]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 70075/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=7.7] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00534671 [ 0.16 %]\n", + "Velocity : 0.00184864 [ 0.05 %]\n", + "Force : 0.552556 [ 16.32 %]\n", + "Coefs : 2.12598 [ 62.77 %]\n", + "Output : 0.00149993 [ 0.04 %]\n", + "Levels : 0.00588942 [ 0.17 %]\n", + "Report : 1.026e-06 [ 0.00 %]\n", + "Balance : 3.92e-07 [ 0.00 %]\n", + "Adjust : 0.693591 [ 20.48 %]\n", + "Total : 3.38676 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6633 416 87 5 1 \n", + "1 : 6645 407 83 6 1 \n", + "2 : 6605 431 97 7 2 \n", + "3 : 6645 403 88 3 3 \n", + "4 : 6656 393 86 7 0 \n", + "5 : 6675 386 76 3 2 \n", + "6 : 6649 402 87 4 0 \n", + "7 : 6615 431 82 8 6 \n", + "8 : 6648 391 89 10 4 \n", + "9 : 6625 413 89 7 8 \n", + "10 : 6571 473 84 12 2 \n", + "11 : 6636 408 91 2 5 \n", + "12 : 6661 388 80 7 6 \n", + "13 : 6618 443 85 5 3 \n", + "\n", + "T : 92882 5785 1204 86 43 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 5.0389e-02 sec\n", + "--- Collate = 1.2013e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.500086e-06 < 6.250000e-03 [14]\n", + "--- Max DT=3.036581e-01 > 1.000000e-01 [70071]\n", + "----------------------------------------------------------------------\n", + " Component | low: 14/100000\n", + " Component | high: 70071/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=7.8] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00072668 [ 0.02 %]\n", + "Velocity : 0.0017989 [ 0.05 %]\n", + "Force : 0.697103 [ 17.46 %]\n", + "Coefs : 2.49539 [ 62.51 %]\n", + "Output : 0.00140876 [ 0.04 %]\n", + "Levels : 0.000314975 [ 0.01 %]\n", + "Report : 1.384e-06 [ 0.00 %]\n", + "Balance : 5.64e-07 [ 0.00 %]\n", + "Adjust : 0.795163 [ 19.92 %]\n", + "Total : 3.99196 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6633 416 86 6 1 \n", + "1 : 6645 407 83 4 3 \n", + "2 : 6607 429 97 7 2 \n", + "3 : 6648 400 88 3 3 \n", + "4 : 6657 392 86 7 0 \n", + "5 : 6675 386 76 3 2 \n", + "6 : 6647 405 86 4 0 \n", + "7 : 6616 431 81 8 6 \n", + "8 : 6646 392 90 9 5 \n", + "9 : 6625 413 89 5 10 \n", + "10 : 6571 474 84 11 2 \n", + "11 : 6636 410 88 3 5 \n", + "12 : 6661 387 82 6 6 \n", + "13 : 6618 444 83 5 4 \n", + "\n", + "T : 92885 5786 1199 81 49 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 5.6906e-02 sec\n", + "--- Collate = 3.2865e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.508285e-04 < 6.250000e-03 [20]\n", + "--- Max DT=3.036644e-01 > 1.000000e-01 [70068]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 70068/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=7.9] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00400443 [ 0.10 %]\n", + "Velocity : 0.00221846 [ 0.05 %]\n", + "Force : 0.64556 [ 15.79 %]\n", + "Coefs : 2.63779 [ 64.52 %]\n", + "Output : 0.00210628 [ 0.05 %]\n", + "Levels : 0.000284413 [ 0.01 %]\n", + "Report : 9.35e-07 [ 0.00 %]\n", + "Balance : 5.47e-07 [ 0.00 %]\n", + "Adjust : 0.79647 [ 19.48 %]\n", + "Total : 4.0885 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6633 416 86 5 2 \n", + "1 : 6644 408 83 4 3 \n", + "2 : 6607 429 97 6 3 \n", + "3 : 6648 399 89 4 2 \n", + "4 : 6655 392 87 8 0 \n", + "5 : 6672 387 78 3 2 \n", + "6 : 6647 403 87 4 1 \n", + "7 : 6616 431 81 7 7 \n", + "8 : 6646 392 90 9 5 \n", + "9 : 6625 413 88 7 9 \n", + "10 : 6571 473 86 9 3 \n", + "11 : 6636 409 89 5 3 \n", + "12 : 6663 385 83 6 5 \n", + "13 : 6621 441 82 6 4 \n", + "\n", + "T : 92884 5778 1206 83 49 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 15.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.0510e-02 sec\n", + "--- Collate = 9.9669e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.618325e-04 < 6.250000e-03 [22]\n", + "--- Max DT=3.036698e-01 > 1.000000e-01 [70063]\n", + "----------------------------------------------------------------------\n", + " Component | low: 22/100000\n", + " Component | high: 70063/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=8] -------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000416533 [ 0.01 %]\n", + "Velocity : 0.00161459 [ 0.03 %]\n", + "Force : 0.844323 [ 16.31 %]\n", + "Coefs : 3.25088 [ 62.80 %]\n", + "Output : 0.0204325 [ 0.39 %]\n", + "Levels : 0.00029566 [ 0.01 %]\n", + "Report : 1.793e-06 [ 0.00 %]\n", + "Balance : 5.66e-07 [ 0.00 %]\n", + "Adjust : 1.05884 [ 20.45 %]\n", + "Total : 5.17686 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6632 418 84 6 2 \n", + "1 : 6640 413 82 4 3 \n", + "2 : 6607 428 98 6 3 \n", + "3 : 6648 401 87 4 2 \n", + "4 : 6655 392 89 6 0 \n", + "5 : 6674 385 78 3 2 \n", + "6 : 6648 401 87 5 1 \n", + "7 : 6617 430 81 7 7 \n", + "8 : 6645 392 92 9 4 \n", + "9 : 6628 410 88 7 9 \n", + "10 : 6572 472 85 10 3 \n", + "11 : 6636 409 89 6 2 \n", + "12 : 6664 383 84 6 5 \n", + "13 : 6627 434 83 7 3 \n", + "\n", + "T : 92893 5768 1207 86 46 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 7.2838e-02 sec\n", + "--- Collate = 1.2018e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.968609e-05 < 6.250000e-03 [25]\n", + "--- Max DT=3.036739e-01 > 1.000000e-01 [70068]\n", + "----------------------------------------------------------------------\n", + " Component | low: 25/100000\n", + " Component | high: 70068/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=8.1] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000579585 [ 0.01 %]\n", + "Velocity : 0.00151914 [ 0.03 %]\n", + "Force : 0.956932 [ 16.87 %]\n", + "Coefs : 3.61984 [ 63.83 %]\n", + "Output : 0.00129118 [ 0.02 %]\n", + "Levels : 0.000323412 [ 0.01 %]\n", + "Report : 1.068e-06 [ 0.00 %]\n", + "Balance : 4e-07 [ 0.00 %]\n", + "Adjust : 1.09087 [ 19.23 %]\n", + "Total : 5.67141 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6631 418 85 5 3 \n", + "1 : 6642 411 81 6 2 \n", + "2 : 6605 430 99 5 3 \n", + "3 : 6645 404 86 5 2 \n", + "4 : 6656 389 91 6 0 \n", + "5 : 6675 385 77 3 2 \n", + "6 : 6646 402 88 4 2 \n", + "7 : 6615 432 81 8 6 \n", + "8 : 6643 395 91 9 4 \n", + "9 : 6627 412 87 5 11 \n", + "10 : 6570 474 86 9 3 \n", + "11 : 6633 413 88 7 1 \n", + "12 : 6663 384 84 5 6 \n", + "13 : 6626 436 82 7 3 \n", + "\n", + "T : 92877 5785 1206 84 48 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.6346e-02 sec\n", + "--- Collate = 1.4999e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.838094e-04 < 6.250000e-03 [24]\n", + "--- Max DT=3.036766e-01 > 1.000000e-01 [70067]\n", + "----------------------------------------------------------------------\n", + " Component | low: 24/100000\n", + " Component | high: 70067/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=8.2] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000494773 [ 0.01 %]\n", + "Velocity : 0.00182661 [ 0.04 %]\n", + "Force : 0.802364 [ 17.64 %]\n", + "Coefs : 2.84631 [ 62.57 %]\n", + "Output : 0.00145906 [ 0.03 %]\n", + "Levels : 0.000352171 [ 0.01 %]\n", + "Report : 1.413e-06 [ 0.00 %]\n", + "Balance : 5.04e-07 [ 0.00 %]\n", + "Adjust : 0.896415 [ 19.70 %]\n", + "Total : 4.54928 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6632 417 84 6 3 \n", + "1 : 6645 407 82 6 2 \n", + "2 : 6603 431 100 4 4 \n", + "3 : 6644 405 86 4 3 \n", + "4 : 6656 388 92 6 0 \n", + "5 : 6675 384 78 3 2 \n", + "6 : 6642 406 87 6 1 \n", + "7 : 6617 430 81 8 6 \n", + "8 : 6639 399 91 9 4 \n", + "9 : 6626 413 87 6 10 \n", + "10 : 6571 474 85 9 3 \n", + "11 : 6633 413 88 7 1 \n", + "12 : 6662 386 82 5 7 \n", + "13 : 6627 434 83 7 3 \n", + "\n", + "T : 92872 5787 1206 86 49 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 9.3238e-02 sec\n", + "--- Collate = 2.7111e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.544104e-04 < 6.250000e-03 [25]\n", + "--- Max DT=3.036780e-01 > 1.000000e-01 [70058]\n", + "----------------------------------------------------------------------\n", + " Component | low: 25/100000\n", + " Component | high: 70058/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=8.3] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00138672 [ 0.02 %]\n", + "Velocity : 0.0029687 [ 0.05 %]\n", + "Force : 1.02813 [ 16.20 %]\n", + "Coefs : 4.07014 [ 64.14 %]\n", + "Output : 0.00153709 [ 0.02 %]\n", + "Levels : 0.000353306 [ 0.01 %]\n", + "Report : 2.099e-06 [ 0.00 %]\n", + "Balance : 1.014e-06 [ 0.00 %]\n", + "Adjust : 1.2408 [ 19.55 %]\n", + "Total : 6.34538 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6628 418 87 5 4 \n", + "1 : 6643 409 83 5 2 \n", + "2 : 6602 432 100 5 3 \n", + "3 : 6645 404 86 5 2 \n", + "4 : 6654 389 93 5 1 \n", + "5 : 6674 385 77 6 0 \n", + "6 : 6642 406 87 6 1 \n", + "7 : 6618 429 82 6 7 \n", + "8 : 6639 399 91 8 5 \n", + "9 : 6626 413 87 9 7 \n", + "10 : 6570 476 84 9 3 \n", + "11 : 6633 414 87 7 1 \n", + "12 : 6662 387 81 7 5 \n", + "13 : 6624 437 83 7 3 \n", + "\n", + "T : 92860 5798 1208 90 44 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 9.4449e-02 sec\n", + "--- Collate = 2.9088e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.937076e-04 < 6.250000e-03 [22]\n", + "--- Max DT=3.036784e-01 > 1.000000e-01 [70056]\n", + "----------------------------------------------------------------------\n", + " Component | low: 22/100000\n", + " Component | high: 70056/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=8.4] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000758215 [ 0.01 %]\n", + "Velocity : 0.00197531 [ 0.04 %]\n", + "Force : 0.889392 [ 16.65 %]\n", + "Coefs : 3.28893 [ 61.56 %]\n", + "Output : 0.0025922 [ 0.05 %]\n", + "Levels : 0.00100064 [ 0.02 %]\n", + "Report : 1.352e-06 [ 0.00 %]\n", + "Balance : 4.95e-07 [ 0.00 %]\n", + "Adjust : 1.15759 [ 21.67 %]\n", + "Total : 5.34231 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6630 415 86 7 4 \n", + "1 : 6643 409 84 4 2 \n", + "2 : 6604 429 101 5 3 \n", + "3 : 6645 404 87 3 3 \n", + "4 : 6651 392 92 6 1 \n", + "5 : 6673 386 77 6 0 \n", + "6 : 6640 409 87 5 1 \n", + "7 : 6617 429 83 6 7 \n", + "8 : 6640 398 90 8 6 \n", + "9 : 6625 412 89 9 7 \n", + "10 : 6570 476 84 9 3 \n", + "11 : 6633 413 89 6 1 \n", + "12 : 6662 386 83 6 5 \n", + "13 : 6622 439 83 7 3 \n", + "\n", + "T : 92855 5797 1215 87 46 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.2506e-01 sec\n", + "--- Collate = 6.8825e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.046944e-06 < 6.250000e-03 [18]\n", + "--- Max DT=3.036768e-01 > 1.000000e-01 [70050]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 70050/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=8.5] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000459815 [ 0.01 %]\n", + "Velocity : 0.00248865 [ 0.05 %]\n", + "Force : 0.793759 [ 14.87 %]\n", + "Coefs : 3.44107 [ 64.45 %]\n", + "Output : 0.00145335 [ 0.03 %]\n", + "Levels : 0.000290201 [ 0.01 %]\n", + "Report : 8.7e-07 [ 0.00 %]\n", + "Balance : 3.7e-07 [ 0.00 %]\n", + "Adjust : 1.09992 [ 20.60 %]\n", + "Total : 5.33951 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6631 413 87 5 6 \n", + "1 : 6643 407 85 5 2 \n", + "2 : 6606 427 101 5 3 \n", + "3 : 6643 407 86 3 3 \n", + "4 : 6651 391 94 5 1 \n", + "5 : 6672 390 73 7 0 \n", + "6 : 6641 408 87 5 1 \n", + "7 : 6617 428 85 7 5 \n", + "8 : 6643 395 90 8 6 \n", + "9 : 6624 413 89 10 6 \n", + "10 : 6570 477 83 9 3 \n", + "11 : 6636 411 87 7 1 \n", + "12 : 6661 386 84 6 5 \n", + "13 : 6621 440 83 7 3 \n", + "\n", + "T : 92859 5793 1214 89 45 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 9.1592e-02 sec\n", + "--- Collate = 7.0641e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.649849e-05 < 6.250000e-03 [20]\n", + "--- Max DT=3.036745e-01 > 1.000000e-01 [70046]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 70046/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=8.6] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00221771 [ 0.05 %]\n", + "Velocity : 0.00236673 [ 0.05 %]\n", + "Force : 0.73851 [ 15.20 %]\n", + "Coefs : 3.1502 [ 64.83 %]\n", + "Output : 0.00137287 [ 0.03 %]\n", + "Levels : 0.000279283 [ 0.01 %]\n", + "Report : 1.344e-06 [ 0.00 %]\n", + "Balance : 5.62e-07 [ 0.00 %]\n", + "Adjust : 0.964512 [ 19.85 %]\n", + "Total : 4.85952 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6630 414 87 5 6 \n", + "1 : 6644 405 86 6 1 \n", + "2 : 6607 426 101 5 3 \n", + "3 : 6642 407 87 3 3 \n", + "4 : 6651 390 95 5 1 \n", + "5 : 6671 391 75 5 0 \n", + "6 : 6639 408 88 6 1 \n", + "7 : 6618 427 85 8 4 \n", + "8 : 6642 396 89 8 7 \n", + "9 : 6624 413 90 9 6 \n", + "10 : 6572 475 83 10 2 \n", + "11 : 6637 410 86 9 0 \n", + "12 : 6661 386 83 9 3 \n", + "13 : 6622 439 84 4 5 \n", + "\n", + "T : 92860 5787 1219 92 42 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.1%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.0152e-01 sec\n", + "--- Collate = 1.6046e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.772595e-05 < 6.250000e-03 [19]\n", + "--- Max DT=3.036705e-01 > 1.000000e-01 [70045]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 70045/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=8.7] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000550138 [ 0.01 %]\n", + "Velocity : 0.0016061 [ 0.04 %]\n", + "Force : 0.790936 [ 17.54 %]\n", + "Coefs : 2.65309 [ 58.84 %]\n", + "Output : 0.00131985 [ 0.03 %]\n", + "Levels : 0.000309029 [ 0.01 %]\n", + "Report : 1.523e-06 [ 0.00 %]\n", + "Balance : 6.44e-07 [ 0.00 %]\n", + "Adjust : 1.06104 [ 23.53 %]\n", + "Total : 4.50891 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6629 417 84 6 6 \n", + "1 : 6645 404 85 8 0 \n", + "2 : 6606 427 101 5 3 \n", + "3 : 6642 407 87 3 3 \n", + "4 : 6651 391 95 4 1 \n", + "5 : 6671 391 75 5 0 \n", + "6 : 6641 407 87 6 1 \n", + "7 : 6616 429 85 9 3 \n", + "8 : 6642 395 91 9 5 \n", + "9 : 6625 411 91 10 5 \n", + "10 : 6571 476 84 8 3 \n", + "11 : 6639 407 87 9 0 \n", + "12 : 6662 385 84 8 3 \n", + "13 : 6623 438 85 4 4 \n", + "\n", + "T : 92863 5785 1221 94 37 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 1.2749e-01 sec\n", + "--- Collate = 6.0959e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.070966e-04 < 6.250000e-03 [18]\n", + "--- Max DT=3.036657e-01 > 1.000000e-01 [70031]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 70031/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=8.8] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000539393 [ 0.01 %]\n", + "Velocity : 0.00179325 [ 0.03 %]\n", + "Force : 1.1325 [ 16.70 %]\n", + "Coefs : 4.26243 [ 62.86 %]\n", + "Output : 0.00136013 [ 0.02 %]\n", + "Levels : 0.000442828 [ 0.01 %]\n", + "Report : 1.309e-06 [ 0.00 %]\n", + "Balance : 6.72e-07 [ 0.00 %]\n", + "Adjust : 1.38139 [ 20.37 %]\n", + "Total : 6.78051 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6627 418 85 7 5 \n", + "1 : 6645 403 86 8 0 \n", + "2 : 6606 427 100 6 3 \n", + "3 : 6643 407 86 3 3 \n", + "4 : 6652 389 96 4 1 \n", + "5 : 6670 390 77 4 1 \n", + "6 : 6642 405 90 4 1 \n", + "7 : 6614 431 85 10 2 \n", + "8 : 6640 397 90 11 4 \n", + "9 : 6627 407 93 12 3 \n", + "10 : 6568 479 85 7 3 \n", + "11 : 6637 409 87 9 0 \n", + "12 : 6661 387 84 7 3 \n", + "13 : 6621 442 83 4 4 \n", + "\n", + "T : 92853 5791 1227 96 33 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 6.6549e-02 sec\n", + "--- Collate = 7.0301e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.292652e-04 < 6.250000e-03 [20]\n", + "--- Max DT=3.036598e-01 > 1.000000e-01 [70035]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 70035/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=8.9] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00044809 [ 0.01 %]\n", + "Velocity : 0.00200395 [ 0.04 %]\n", + "Force : 0.890301 [ 18.13 %]\n", + "Coefs : 3.07618 [ 62.65 %]\n", + "Output : 0.0013062 [ 0.03 %]\n", + "Levels : 0.000307313 [ 0.01 %]\n", + "Report : 1.183e-06 [ 0.00 %]\n", + "Balance : 5.32e-07 [ 0.00 %]\n", + "Adjust : 0.939749 [ 19.14 %]\n", + "Total : 4.91035 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6629 416 84 8 5 \n", + "1 : 6648 400 86 7 1 \n", + "2 : 6604 429 100 6 3 \n", + "3 : 6641 410 85 3 3 \n", + "4 : 6651 390 96 4 1 \n", + "5 : 6670 390 78 3 1 \n", + "6 : 6642 405 90 3 2 \n", + "7 : 6614 430 86 10 2 \n", + "8 : 6642 396 90 9 5 \n", + "9 : 6626 410 91 12 3 \n", + "10 : 6570 480 82 7 3 \n", + "11 : 6641 404 88 8 1 \n", + "12 : 6662 386 85 6 3 \n", + "13 : 6620 443 83 3 5 \n", + "\n", + "T : 92860 5789 1224 89 38 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 6.5344e-02 sec\n", + "--- Collate = 1.8012e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.082856e-06 < 6.250000e-03 [16]\n", + "--- Max DT=3.036525e-01 > 1.000000e-01 [70037]\n", + "----------------------------------------------------------------------\n", + " Component | low: 16/100000\n", + " Component | high: 70037/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=9] -------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000503711 [ 0.01 %]\n", + "Velocity : 0.00193725 [ 0.04 %]\n", + "Force : 0.740361 [ 16.08 %]\n", + "Coefs : 2.83145 [ 61.50 %]\n", + "Output : 0.0173859 [ 0.38 %]\n", + "Levels : 0.000292696 [ 0.01 %]\n", + "Report : 1.362e-06 [ 0.00 %]\n", + "Balance : 5.47e-07 [ 0.00 %]\n", + "Adjust : 1.0123 [ 21.99 %]\n", + "Total : 4.60429 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6629 414 86 10 3 \n", + "1 : 6647 400 88 6 1 \n", + "2 : 6602 430 101 6 3 \n", + "3 : 6641 410 85 2 4 \n", + "4 : 6650 392 94 5 1 \n", + "5 : 6668 392 79 2 1 \n", + "6 : 6640 406 91 4 1 \n", + "7 : 6614 430 87 8 3 \n", + "8 : 6643 395 88 8 8 \n", + "9 : 6626 410 92 11 3 \n", + "10 : 6570 479 82 7 4 \n", + "11 : 6644 403 86 8 1 \n", + "12 : 6662 386 84 7 3 \n", + "13 : 6617 447 82 3 5 \n", + "\n", + "T : 92853 5794 1225 87 41 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 4.9060e-02 sec\n", + "--- Collate = 1.4038e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.745450e-04 < 6.250000e-03 [20]\n", + "--- Max DT=3.036445e-01 > 1.000000e-01 [70045]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 70045/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=9.1] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000550468 [ 0.01 %]\n", + "Velocity : 0.00635095 [ 0.14 %]\n", + "Force : 0.769753 [ 17.45 %]\n", + "Coefs : 2.77785 [ 62.99 %]\n", + "Output : 0.00146756 [ 0.03 %]\n", + "Levels : 0.000303455 [ 0.01 %]\n", + "Report : 4.65e-07 [ 0.00 %]\n", + "Balance : 3.49e-07 [ 0.00 %]\n", + "Adjust : 0.853846 [ 19.36 %]\n", + "Total : 4.41019 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6630 412 88 10 2 \n", + "1 : 6647 400 91 3 1 \n", + "2 : 6601 432 100 5 4 \n", + "3 : 6638 414 84 1 5 \n", + "4 : 6651 390 95 5 1 \n", + "5 : 6667 393 78 2 2 \n", + "6 : 6639 408 89 5 1 \n", + "7 : 6612 432 88 7 3 \n", + "8 : 6643 395 88 8 8 \n", + "9 : 6628 408 91 11 4 \n", + "10 : 6569 481 81 6 5 \n", + "11 : 6644 403 85 8 2 \n", + "12 : 6663 385 84 8 2 \n", + "13 : 6615 449 82 3 5 \n", + "\n", + "T : 92847 5802 1224 82 45 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 3.5351e-02 sec\n", + "--- Collate = 8.2265e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.906716e-04 < 6.250000e-03 [22]\n", + "--- Max DT=3.036348e-01 > 1.000000e-01 [70060]\n", + "----------------------------------------------------------------------\n", + " Component | low: 22/100000\n", + " Component | high: 70060/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=9.2] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00493281 [ 0.12 %]\n", + "Velocity : 0.0022827 [ 0.06 %]\n", + "Force : 0.674482 [ 16.97 %]\n", + "Coefs : 2.4491 [ 61.62 %]\n", + "Output : 0.0015671 [ 0.04 %]\n", + "Levels : 0.000299965 [ 0.01 %]\n", + "Report : 5.08e-07 [ 0.00 %]\n", + "Balance : 2.6e-07 [ 0.00 %]\n", + "Adjust : 0.841951 [ 21.18 %]\n", + "Total : 3.97467 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6627 414 90 7 4 \n", + "1 : 6648 399 91 2 2 \n", + "2 : 6599 434 100 5 4 \n", + "3 : 6638 415 82 4 3 \n", + "4 : 6649 392 95 4 2 \n", + "5 : 6667 391 79 3 2 \n", + "6 : 6638 409 89 6 0 \n", + "7 : 6613 431 87 8 3 \n", + "8 : 6645 394 88 7 8 \n", + "9 : 6626 409 91 13 3 \n", + "10 : 6570 481 80 8 3 \n", + "11 : 6647 399 86 8 2 \n", + "12 : 6663 385 84 6 4 \n", + "13 : 6619 445 81 4 5 \n", + "\n", + "T : 92849 5798 1223 85 45 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 5.7037e-02 sec\n", + "--- Collate = 8.0373e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.060329e-05 < 6.250000e-03 [24]\n", + "--- Max DT=3.036240e-01 > 1.000000e-01 [70064]\n", + "----------------------------------------------------------------------\n", + " Component | low: 24/100000\n", + " Component | high: 70064/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=9.3] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000426327 [ 0.01 %]\n", + "Velocity : 0.00206804 [ 0.05 %]\n", + "Force : 0.736368 [ 17.16 %]\n", + "Coefs : 2.63464 [ 61.40 %]\n", + "Output : 0.00150736 [ 0.04 %]\n", + "Levels : 0.000309768 [ 0.01 %]\n", + "Report : 7.29e-07 [ 0.00 %]\n", + "Balance : 3.18e-07 [ 0.00 %]\n", + "Adjust : 0.915886 [ 21.34 %]\n", + "Total : 4.29127 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6624 418 89 6 5 \n", + "1 : 6646 403 89 2 2 \n", + "2 : 6597 435 101 5 4 \n", + "3 : 6637 415 82 5 3 \n", + "4 : 6648 393 95 4 2 \n", + "5 : 6668 389 79 4 2 \n", + "6 : 6639 409 88 6 0 \n", + "7 : 6613 430 87 9 3 \n", + "8 : 6644 396 86 7 9 \n", + "9 : 6627 407 91 12 5 \n", + "10 : 6572 479 80 8 3 \n", + "11 : 6644 403 86 7 2 \n", + "12 : 6663 384 85 4 6 \n", + "13 : 6619 444 80 5 6 \n", + "\n", + "T : 92841 5805 1218 84 52 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.2489e-02 sec\n", + "--- Collate = 2.8069e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.678258e-05 < 6.250000e-03 [29]\n", + "--- Max DT=3.036120e-01 > 1.000000e-01 [70066]\n", + "----------------------------------------------------------------------\n", + " Component | low: 29/100000\n", + " Component | high: 70066/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=9.4] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000445333 [ 0.01 %]\n", + "Velocity : 0.00165365 [ 0.03 %]\n", + "Force : 0.752193 [ 15.78 %]\n", + "Coefs : 2.88768 [ 60.59 %]\n", + "Output : 0.0013638 [ 0.03 %]\n", + "Levels : 0.000308397 [ 0.01 %]\n", + "Report : 2.02e-06 [ 0.00 %]\n", + "Balance : 5.03e-07 [ 0.00 %]\n", + "Adjust : 1.12184 [ 23.54 %]\n", + "Total : 4.76554 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6623 419 88 7 5 \n", + "1 : 6645 404 89 2 2 \n", + "2 : 6598 435 101 4 4 \n", + "3 : 6637 415 82 6 2 \n", + "4 : 6648 392 95 3 4 \n", + "5 : 6668 389 80 3 2 \n", + "6 : 6641 408 87 6 0 \n", + "7 : 6615 428 87 9 3 \n", + "8 : 6647 392 87 8 8 \n", + "9 : 6626 406 93 11 6 \n", + "10 : 6571 480 80 8 3 \n", + "11 : 6644 404 86 6 2 \n", + "12 : 6664 383 85 6 4 \n", + "13 : 6616 446 81 5 6 \n", + "\n", + "T : 92843 5801 1221 84 51 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 23.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.1705e-02 sec\n", + "--- Collate = 6.1488e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.210488e-05 < 6.250000e-03 [29]\n", + "--- Max DT=3.035982e-01 > 1.000000e-01 [70068]\n", + "----------------------------------------------------------------------\n", + " Component | low: 29/100000\n", + " Component | high: 70068/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=9.5] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000564889 [ 0.01 %]\n", + "Velocity : 0.00236272 [ 0.04 %]\n", + "Force : 0.836477 [ 15.53 %]\n", + "Coefs : 3.29433 [ 61.17 %]\n", + "Output : 0.00134227 [ 0.02 %]\n", + "Levels : 0.000312988 [ 0.01 %]\n", + "Report : 1.052e-06 [ 0.00 %]\n", + "Balance : 4.43e-07 [ 0.00 %]\n", + "Adjust : 1.24993 [ 23.21 %]\n", + "Total : 5.38539 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6623 420 87 7 5 \n", + "1 : 6649 401 87 3 2 \n", + "2 : 6599 433 102 4 4 \n", + "3 : 6634 418 82 6 2 \n", + "4 : 6648 393 94 3 4 \n", + "5 : 6669 389 79 3 2 \n", + "6 : 6640 411 85 6 0 \n", + "7 : 6614 431 84 10 3 \n", + "8 : 6647 392 87 8 8 \n", + "9 : 6625 407 93 10 7 \n", + "10 : 6571 480 79 9 3 \n", + "11 : 6643 404 86 7 2 \n", + "12 : 6663 384 86 5 4 \n", + "13 : 6617 444 82 5 6 \n", + "\n", + "T : 92842 5807 1213 86 52 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.1602e-02 sec\n", + "--- Collate = 1.6570e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.358772e-04 < 6.250000e-03 [30]\n", + "--- Max DT=3.035834e-01 > 1.000000e-01 [70070]\n", + "----------------------------------------------------------------------\n", + " Component | low: 30/100000\n", + " Component | high: 70070/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=9.6] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000735484 [ 0.01 %]\n", + "Velocity : 0.00265494 [ 0.04 %]\n", + "Force : 0.937128 [ 15.79 %]\n", + "Coefs : 3.7086 [ 62.50 %]\n", + "Output : 0.00161595 [ 0.03 %]\n", + "Levels : 0.000363365 [ 0.01 %]\n", + "Report : 1.251e-06 [ 0.00 %]\n", + "Balance : 4.52e-07 [ 0.00 %]\n", + "Adjust : 1.28239 [ 21.61 %]\n", + "Total : 5.93355 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6620 424 87 7 4 \n", + "1 : 6648 403 86 3 2 \n", + "2 : 6599 434 101 4 4 \n", + "3 : 6633 418 82 6 3 \n", + "4 : 6643 396 95 3 5 \n", + "5 : 6666 392 78 4 2 \n", + "6 : 6641 409 87 4 1 \n", + "7 : 6616 429 85 9 3 \n", + "8 : 6647 392 88 6 9 \n", + "9 : 6624 408 95 7 8 \n", + "10 : 6571 479 80 9 3 \n", + "11 : 6642 405 87 6 2 \n", + "12 : 6664 382 87 5 4 \n", + "13 : 6616 447 80 7 4 \n", + "\n", + "T : 92830 5818 1218 80 54 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.1%\n", + "--- Update = 8.9420e-02 sec\n", + "--- Collate = 1.2031e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.124642e-06 < 6.250000e-03 [26]\n", + "--- Max DT=3.035669e-01 > 1.000000e-01 [70068]\n", + "----------------------------------------------------------------------\n", + " Component | low: 26/100000\n", + " Component | high: 70068/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=9.7] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000481573 [ 0.01 %]\n", + "Velocity : 0.00177509 [ 0.03 %]\n", + "Force : 0.957843 [ 16.09 %]\n", + "Coefs : 3.77342 [ 63.37 %]\n", + "Output : 0.00144685 [ 0.02 %]\n", + "Levels : 0.000319933 [ 0.01 %]\n", + "Report : 9.64e-07 [ 0.00 %]\n", + "Balance : 4.95e-07 [ 0.00 %]\n", + "Adjust : 1.21899 [ 20.47 %]\n", + "Total : 5.95434 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6622 421 86 9 4 \n", + "1 : 6647 405 85 3 2 \n", + "2 : 6601 432 101 4 4 \n", + "3 : 6632 417 84 6 3 \n", + "4 : 6646 394 94 3 5 \n", + "5 : 6665 392 77 6 2 \n", + "6 : 6641 409 87 3 2 \n", + "7 : 6614 432 83 10 3 \n", + "8 : 6644 394 90 7 7 \n", + "9 : 6625 408 94 7 8 \n", + "10 : 6568 483 79 10 2 \n", + "11 : 6642 405 89 4 2 \n", + "12 : 6665 380 88 4 5 \n", + "13 : 6614 447 82 8 3 \n", + "\n", + "T : 92826 5819 1219 84 52 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 4.9465e-02 sec\n", + "--- Collate = 9.0289e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.060203e-05 < 6.250000e-03 [25]\n", + "--- Max DT=3.035490e-01 > 1.000000e-01 [70063]\n", + "----------------------------------------------------------------------\n", + " Component | low: 25/100000\n", + " Component | high: 70063/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=9.8] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000367518 [ 0.01 %]\n", + "Velocity : 0.00144561 [ 0.04 %]\n", + "Force : 0.618875 [ 15.25 %]\n", + "Coefs : 2.59568 [ 63.97 %]\n", + "Output : 0.0012581 [ 0.03 %]\n", + "Levels : 0.000304876 [ 0.01 %]\n", + "Report : 9.91e-07 [ 0.00 %]\n", + "Balance : 3.55e-07 [ 0.00 %]\n", + "Adjust : 0.839442 [ 20.69 %]\n", + "Total : 4.05743 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6619 424 86 8 5 \n", + "1 : 6643 409 85 3 2 \n", + "2 : 6599 435 100 4 4 \n", + "3 : 6628 420 86 5 3 \n", + "4 : 6643 396 96 2 5 \n", + "5 : 6665 392 77 7 1 \n", + "6 : 6644 405 89 2 2 \n", + "7 : 6614 432 83 9 4 \n", + "8 : 6644 394 90 6 8 \n", + "9 : 6624 409 94 8 7 \n", + "10 : 6570 479 81 10 2 \n", + "11 : 6645 402 88 5 2 \n", + "12 : 6663 381 89 4 5 \n", + "13 : 6611 451 82 7 3 \n", + "\n", + "T : 92812 5829 1226 80 53 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 6.9543e-02 sec\n", + "--- Collate = 1.3100e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.237078e-04 < 6.250000e-03 [23]\n", + "--- Max DT=3.035289e-01 > 1.000000e-01 [70073]\n", + "----------------------------------------------------------------------\n", + " Component | low: 23/100000\n", + " Component | high: 70073/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=9.9] -----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000669869 [ 0.02 %]\n", + "Velocity : 0.00166305 [ 0.04 %]\n", + "Force : 0.620968 [ 14.99 %]\n", + "Coefs : 2.59575 [ 62.66 %]\n", + "Output : 0.00124542 [ 0.03 %]\n", + "Levels : 0.000324387 [ 0.01 %]\n", + "Report : 1.486e-06 [ 0.00 %]\n", + "Balance : 5.63e-07 [ 0.00 %]\n", + "Adjust : 0.921694 [ 22.25 %]\n", + "Total : 4.14238 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6621 421 88 9 3 \n", + "1 : 6643 409 84 4 2 \n", + "2 : 6596 440 98 4 4 \n", + "3 : 6627 422 85 6 2 \n", + "4 : 6641 399 95 2 5 \n", + "5 : 6668 388 77 8 1 \n", + "6 : 6644 405 89 1 3 \n", + "7 : 6614 433 81 10 4 \n", + "8 : 6642 396 89 8 7 \n", + "9 : 6623 410 94 8 7 \n", + "10 : 6571 477 82 9 3 \n", + "11 : 6645 400 90 6 1 \n", + "12 : 6662 380 90 5 5 \n", + "13 : 6612 450 81 9 2 \n", + "\n", + "T : 92809 5830 1223 89 49 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 6.8433e-02 sec\n", + "--- Collate = 1.9017e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.280122e-05 < 6.250000e-03 [20]\n", + "--- Max DT=3.035079e-01 > 1.000000e-01 [70075]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 70075/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=10] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000392455 [ 0.01 %]\n", + "Velocity : 0.00158263 [ 0.04 %]\n", + "Force : 0.735881 [ 17.60 %]\n", + "Coefs : 2.60655 [ 62.35 %]\n", + "Output : 0.00974386 [ 0.23 %]\n", + "Levels : 0.00022541 [ 0.01 %]\n", + "Report : 1.485e-06 [ 0.00 %]\n", + "Balance : 7.07e-07 [ 0.00 %]\n", + "Adjust : 0.826071 [ 19.76 %]\n", + "Total : 4.1805 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6622 420 88 10 2 \n", + "1 : 6646 407 82 6 1 \n", + "2 : 6595 441 97 5 4 \n", + "3 : 6625 422 89 5 1 \n", + "4 : 6638 403 92 4 5 \n", + "5 : 6668 387 79 8 0 \n", + "6 : 6642 407 88 2 3 \n", + "7 : 6614 434 81 10 3 \n", + "8 : 6642 395 90 8 7 \n", + "9 : 6620 413 93 9 7 \n", + "10 : 6569 480 83 6 4 \n", + "11 : 6641 404 88 7 2 \n", + "12 : 6658 383 91 5 5 \n", + "13 : 6618 445 81 8 2 \n", + "\n", + "T : 92798 5841 1222 93 46 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 15.2%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.6603e-02 sec\n", + "--- Collate = 8.9524e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.796766e-04 < 6.250000e-03 [17]\n", + "--- Max DT=3.034855e-01 > 1.000000e-01 [70083]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 70083/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=10.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000489783 [ 0.01 %]\n", + "Velocity : 0.00950601 [ 0.24 %]\n", + "Force : 0.652574 [ 16.64 %]\n", + "Coefs : 2.45317 [ 62.55 %]\n", + "Output : 0.00115514 [ 0.03 %]\n", + "Levels : 0.000294334 [ 0.01 %]\n", + "Report : 7.59e-07 [ 0.00 %]\n", + "Balance : 3.71e-07 [ 0.00 %]\n", + "Adjust : 0.804792 [ 20.52 %]\n", + "Total : 3.92204 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6623 418 89 9 3 \n", + "1 : 6650 404 80 7 1 \n", + "2 : 6594 444 95 8 1 \n", + "3 : 6622 426 87 6 1 \n", + "4 : 6638 403 92 4 5 \n", + "5 : 6668 384 82 8 0 \n", + "6 : 6639 410 88 2 3 \n", + "7 : 6613 435 82 9 3 \n", + "8 : 6643 395 90 7 7 \n", + "9 : 6620 413 93 9 7 \n", + "10 : 6571 478 83 7 3 \n", + "11 : 6642 404 88 7 1 \n", + "12 : 6659 382 92 4 5 \n", + "13 : 6619 444 81 8 2 \n", + "\n", + "T : 92801 5840 1222 95 42 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 5.6692e-02 sec\n", + "--- Collate = 7.0297e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.513310e-04 < 6.250000e-03 [17]\n", + "--- Max DT=3.034615e-01 > 1.000000e-01 [70085]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 70085/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=10.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000785721 [ 0.02 %]\n", + "Velocity : 0.00210773 [ 0.05 %]\n", + "Force : 0.619163 [ 15.79 %]\n", + "Coefs : 2.50043 [ 63.75 %]\n", + "Output : 0.00160044 [ 0.04 %]\n", + "Levels : 0.000601544 [ 0.02 %]\n", + "Report : 6.26e-07 [ 0.00 %]\n", + "Balance : 4.01e-07 [ 0.00 %]\n", + "Adjust : 0.797628 [ 20.34 %]\n", + "Total : 3.92239 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6622 419 89 8 4 \n", + "1 : 6653 399 82 8 0 \n", + "2 : 6593 446 93 7 3 \n", + "3 : 6620 428 87 5 2 \n", + "4 : 6639 402 92 5 4 \n", + "5 : 6668 384 82 8 0 \n", + "6 : 6634 414 88 3 3 \n", + "7 : 6615 433 82 7 5 \n", + "8 : 6640 399 89 7 7 \n", + "9 : 6620 413 92 10 7 \n", + "10 : 6568 479 84 8 3 \n", + "11 : 6642 405 87 7 1 \n", + "12 : 6660 381 91 5 5 \n", + "13 : 6620 443 81 8 2 \n", + "\n", + "T : 92794 5845 1219 96 46 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 3.5227e-02 sec\n", + "--- Collate = 9.2898e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.764638e-04 < 6.250000e-03 [18]\n", + "--- Max DT=3.034370e-01 > 1.000000e-01 [70092]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 70092/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=10.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000704759 [ 0.02 %]\n", + "Velocity : 0.00178625 [ 0.06 %]\n", + "Force : 0.570762 [ 17.58 %]\n", + "Coefs : 1.98122 [ 61.04 %]\n", + "Output : 0.00129537 [ 0.04 %]\n", + "Levels : 0.00043918 [ 0.01 %]\n", + "Report : 1.408e-06 [ 0.00 %]\n", + "Balance : 4.95e-07 [ 0.00 %]\n", + "Adjust : 0.689666 [ 21.25 %]\n", + "Total : 3.24593 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6624 418 87 8 5 \n", + "1 : 6649 403 83 7 0 \n", + "2 : 6594 446 92 8 2 \n", + "3 : 6620 429 86 5 2 \n", + "4 : 6638 404 91 5 4 \n", + "5 : 6666 384 85 6 1 \n", + "6 : 6633 413 89 4 3 \n", + "7 : 6613 434 83 7 5 \n", + "8 : 6639 400 88 8 7 \n", + "9 : 6622 410 93 11 6 \n", + "10 : 6569 478 83 9 3 \n", + "11 : 6641 407 86 6 2 \n", + "12 : 6655 387 88 8 4 \n", + "13 : 6616 446 82 8 2 \n", + "\n", + "T : 92779 5859 1216 100 46 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.6205e-02 sec\n", + "--- Collate = 1.0921e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.087533e-04 < 6.250000e-03 [17]\n", + "--- Max DT=3.034112e-01 > 1.000000e-01 [70100]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 70100/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=10.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000392587 [ 0.01 %]\n", + "Velocity : 0.00142005 [ 0.04 %]\n", + "Force : 0.642943 [ 16.82 %]\n", + "Coefs : 2.37442 [ 62.12 %]\n", + "Output : 0.000863942 [ 0.02 %]\n", + "Levels : 0.000303512 [ 0.01 %]\n", + "Report : 1.358e-06 [ 0.00 %]\n", + "Balance : 5.44e-07 [ 0.00 %]\n", + "Adjust : 0.801842 [ 20.98 %]\n", + "Total : 3.82224 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6620 421 89 7 5 \n", + "1 : 6646 407 83 6 0 \n", + "2 : 6594 446 92 7 3 \n", + "3 : 6621 429 84 4 4 \n", + "4 : 6634 409 90 5 4 \n", + "5 : 6662 388 85 6 1 \n", + "6 : 6630 417 88 5 2 \n", + "7 : 6612 436 82 7 5 \n", + "8 : 6638 402 88 7 7 \n", + "9 : 6621 411 89 16 5 \n", + "10 : 6569 478 82 10 3 \n", + "11 : 6637 410 88 5 2 \n", + "12 : 6653 391 86 8 4 \n", + "13 : 6619 443 83 7 2 \n", + "\n", + "T : 92756 5888 1209 100 47 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 6.9185e-02 sec\n", + "--- Collate = 1.2008e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.938295e-04 < 6.250000e-03 [24]\n", + "--- Max DT=3.033845e-01 > 1.000000e-01 [70113]\n", + "----------------------------------------------------------------------\n", + " Component | low: 24/100000\n", + " Component | high: 70113/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=10.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000458888 [ 0.01 %]\n", + "Velocity : 0.00163246 [ 0.04 %]\n", + "Force : 0.729268 [ 17.36 %]\n", + "Coefs : 2.60043 [ 61.89 %]\n", + "Output : 0.00108329 [ 0.03 %]\n", + "Levels : 0.00026929 [ 0.01 %]\n", + "Report : 1.124e-06 [ 0.00 %]\n", + "Balance : 4.43e-07 [ 0.00 %]\n", + "Adjust : 0.868175 [ 20.66 %]\n", + "Total : 4.20137 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6621 420 90 6 5 \n", + "1 : 6643 410 83 5 1 \n", + "2 : 6597 444 91 7 3 \n", + "3 : 6623 426 84 4 5 \n", + "4 : 6634 410 89 4 5 \n", + "5 : 6656 394 86 5 1 \n", + "6 : 6630 417 89 4 2 \n", + "7 : 6607 440 82 8 5 \n", + "8 : 6638 402 87 11 4 \n", + "9 : 6621 411 89 16 5 \n", + "10 : 6571 477 82 8 4 \n", + "11 : 6640 406 89 5 2 \n", + "12 : 6653 392 86 9 2 \n", + "13 : 6620 444 81 7 2 \n", + "\n", + "T : 92754 5893 1208 99 46 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 5.7753e-02 sec\n", + "--- Collate = 1.6642e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.064850e-04 < 6.250000e-03 [25]\n", + "--- Max DT=3.033563e-01 > 1.000000e-01 [70132]\n", + "----------------------------------------------------------------------\n", + " Component | low: 25/100000\n", + " Component | high: 70132/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=10.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00367929 [ 0.09 %]\n", + "Velocity : 0.00136129 [ 0.03 %]\n", + "Force : 0.731713 [ 17.52 %]\n", + "Coefs : 2.58772 [ 61.97 %]\n", + "Output : 0.00114637 [ 0.03 %]\n", + "Levels : 0.00844273 [ 0.20 %]\n", + "Report : 6.2e-07 [ 0.00 %]\n", + "Balance : 1.98e-07 [ 0.00 %]\n", + "Adjust : 0.841445 [ 20.15 %]\n", + "Total : 4.17556 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6619 423 88 7 5 \n", + "1 : 6642 411 83 5 1 \n", + "2 : 6603 440 89 7 3 \n", + "3 : 6622 426 84 5 5 \n", + "4 : 6630 414 89 2 7 \n", + "5 : 6655 396 85 4 2 \n", + "6 : 6629 418 88 6 1 \n", + "7 : 6609 438 81 10 4 \n", + "8 : 6640 400 85 14 3 \n", + "9 : 6619 412 90 18 3 \n", + "10 : 6570 478 82 7 5 \n", + "11 : 6636 408 91 5 2 \n", + "12 : 6654 390 87 8 3 \n", + "13 : 6621 441 83 6 3 \n", + "\n", + "T : 92749 5895 1205 104 47 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 4.0930e-02 sec\n", + "--- Collate = 8.6672e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.857916e-05 < 6.250000e-03 [27]\n", + "--- Max DT=3.033265e-01 > 1.000000e-01 [70142]\n", + "----------------------------------------------------------------------\n", + " Component | low: 27/100000\n", + " Component | high: 70142/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=10.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000261086 [ 0.01 %]\n", + "Velocity : 0.00160035 [ 0.05 %]\n", + "Force : 0.533004 [ 15.55 %]\n", + "Coefs : 2.18837 [ 63.83 %]\n", + "Output : 0.000813156 [ 0.02 %]\n", + "Levels : 0.000162997 [ 0.00 %]\n", + "Report : 6.13e-07 [ 0.00 %]\n", + "Balance : 1.44e-07 [ 0.00 %]\n", + "Adjust : 0.704355 [ 20.54 %]\n", + "Total : 3.4286 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6617 424 89 8 4 \n", + "1 : 6643 410 82 6 1 \n", + "2 : 6606 438 89 5 4 \n", + "3 : 6622 425 83 8 4 \n", + "4 : 6629 414 91 1 7 \n", + "5 : 6653 396 87 4 2 \n", + "6 : 6631 416 88 5 2 \n", + "7 : 6608 437 83 10 4 \n", + "8 : 6638 402 85 12 5 \n", + "9 : 6619 412 91 17 3 \n", + "10 : 6570 479 82 6 5 \n", + "11 : 6635 408 92 4 3 \n", + "12 : 6653 391 88 6 4 \n", + "13 : 6622 438 84 7 3 \n", + "\n", + "T : 92746 5890 1214 99 51 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 4.1806e-02 sec\n", + "--- Collate = 5.0143e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.108287e-05 < 6.250000e-03 [29]\n", + "--- Max DT=3.032960e-01 > 1.000000e-01 [70145]\n", + "----------------------------------------------------------------------\n", + " Component | low: 29/100000\n", + " Component | high: 70145/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=10.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000292878 [ 0.01 %]\n", + "Velocity : 0.0011929 [ 0.03 %]\n", + "Force : 0.735685 [ 16.78 %]\n", + "Coefs : 2.7954 [ 63.77 %]\n", + "Output : 0.00074718 [ 0.02 %]\n", + "Levels : 0.000188295 [ 0.00 %]\n", + "Report : 8.32e-07 [ 0.00 %]\n", + "Balance : 2.52e-07 [ 0.00 %]\n", + "Adjust : 0.850179 [ 19.39 %]\n", + "Total : 4.38372 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6620 421 89 8 4 \n", + "1 : 6641 412 83 4 2 \n", + "2 : 6611 433 89 5 4 \n", + "3 : 6622 423 85 7 5 \n", + "4 : 6630 413 90 2 7 \n", + "5 : 6653 396 86 5 2 \n", + "6 : 6631 416 87 6 2 \n", + "7 : 6609 437 81 11 4 \n", + "8 : 6637 404 85 9 7 \n", + "9 : 6619 412 91 15 5 \n", + "10 : 6563 485 83 7 4 \n", + "11 : 6638 405 92 5 2 \n", + "12 : 6653 393 86 6 4 \n", + "13 : 6621 438 85 7 3 \n", + "\n", + "T : 92748 5888 1212 97 55 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 4.1786e-02 sec\n", + "--- Collate = 2.0208e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.703057e-04 < 6.250000e-03 [30]\n", + "--- Max DT=3.032632e-01 > 1.000000e-01 [70145]\n", + "----------------------------------------------------------------------\n", + " Component | low: 30/100000\n", + " Component | high: 70145/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=10.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000525548 [ 0.01 %]\n", + "Velocity : 0.00129414 [ 0.03 %]\n", + "Force : 0.637959 [ 16.71 %]\n", + "Coefs : 2.37993 [ 62.32 %]\n", + "Output : 0.000715378 [ 0.02 %]\n", + "Levels : 0.000134164 [ 0.00 %]\n", + "Report : 6.02e-07 [ 0.00 %]\n", + "Balance : 1.53e-07 [ 0.00 %]\n", + "Adjust : 0.798159 [ 20.90 %]\n", + "Total : 3.81874 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6616 424 92 8 2 \n", + "1 : 6641 412 83 3 3 \n", + "2 : 6611 433 89 4 5 \n", + "3 : 6620 425 85 7 5 \n", + "4 : 6631 411 91 2 7 \n", + "5 : 6649 401 83 7 2 \n", + "6 : 6632 413 89 5 3 \n", + "7 : 6604 442 81 11 4 \n", + "8 : 6636 406 84 8 8 \n", + "9 : 6616 413 94 13 6 \n", + "10 : 6568 482 81 9 2 \n", + "11 : 6636 407 91 5 3 \n", + "12 : 6654 392 87 5 4 \n", + "13 : 6621 439 83 8 3 \n", + "\n", + "T : 92735 5900 1213 95 57 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.9402e-02 sec\n", + "--- Collate = 1.1099e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.757006e-04 < 6.250000e-03 [30]\n", + "--- Max DT=3.032297e-01 > 1.000000e-01 [70163]\n", + "----------------------------------------------------------------------\n", + " Component | low: 30/100000\n", + " Component | high: 70163/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=11] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000215107 [ 0.01 %]\n", + "Velocity : 0.00124937 [ 0.03 %]\n", + "Force : 0.675372 [ 16.17 %]\n", + "Coefs : 2.63915 [ 63.20 %]\n", + "Output : 0.0107752 [ 0.26 %]\n", + "Levels : 0.000295757 [ 0.01 %]\n", + "Report : 1.11e-06 [ 0.00 %]\n", + "Balance : 7.68e-07 [ 0.00 %]\n", + "Adjust : 0.849033 [ 20.33 %]\n", + "Total : 4.17613 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6615 425 92 7 3 \n", + "1 : 6644 407 84 4 3 \n", + "2 : 6608 436 89 4 5 \n", + "3 : 6619 426 85 6 6 \n", + "4 : 6629 412 92 2 7 \n", + "5 : 6645 405 84 6 2 \n", + "6 : 6634 411 91 4 2 \n", + "7 : 6605 441 79 13 4 \n", + "8 : 6633 407 88 7 7 \n", + "9 : 6616 410 98 11 7 \n", + "10 : 6562 486 84 8 2 \n", + "11 : 6635 407 92 5 3 \n", + "12 : 6656 390 87 5 4 \n", + "13 : 6617 443 84 7 3 \n", + "\n", + "T : 92718 5906 1229 89 58 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.8508e-02 sec\n", + "--- Collate = 1.4018e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.023953e-04 < 6.250000e-03 [27]\n", + "--- Max DT=3.031947e-01 > 1.000000e-01 [70175]\n", + "----------------------------------------------------------------------\n", + " Component | low: 27/100000\n", + " Component | high: 70175/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=11.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000490528 [ 0.01 %]\n", + "Velocity : 0.00239866 [ 0.05 %]\n", + "Force : 0.836726 [ 16.71 %]\n", + "Coefs : 3.17673 [ 63.46 %]\n", + "Output : 0.00157614 [ 0.03 %]\n", + "Levels : 0.000309435 [ 0.01 %]\n", + "Report : 1.128e-06 [ 0.00 %]\n", + "Balance : 3.49e-07 [ 0.00 %]\n", + "Adjust : 0.987851 [ 19.73 %]\n", + "Total : 5.00615 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6611 429 92 7 3 \n", + "1 : 6646 405 84 4 3 \n", + "2 : 6606 437 90 4 5 \n", + "3 : 6621 424 85 6 6 \n", + "4 : 6628 414 91 3 6 \n", + "5 : 6645 406 83 6 2 \n", + "6 : 6628 421 87 4 2 \n", + "7 : 6601 443 82 13 3 \n", + "8 : 6631 410 87 6 8 \n", + "9 : 6615 411 98 10 8 \n", + "10 : 6561 486 86 7 2 \n", + "11 : 6636 405 94 4 3 \n", + "12 : 6654 392 86 6 4 \n", + "13 : 6616 444 84 8 2 \n", + "\n", + "T : 92699 5927 1229 88 57 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.1537e-02 sec\n", + "--- Collate = 1.4031e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.461531e-05 < 6.250000e-03 [26]\n", + "--- Max DT=3.031582e-01 > 1.000000e-01 [70188]\n", + "----------------------------------------------------------------------\n", + " Component | low: 26/100000\n", + " Component | high: 70188/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=11.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000388036 [ 0.01 %]\n", + "Velocity : 0.00132518 [ 0.03 %]\n", + "Force : 0.65482 [ 16.60 %]\n", + "Coefs : 2.46466 [ 62.50 %]\n", + "Output : 0.0013034 [ 0.03 %]\n", + "Levels : 0.000319553 [ 0.01 %]\n", + "Report : 7.39e-07 [ 0.00 %]\n", + "Balance : 2.65e-07 [ 0.00 %]\n", + "Adjust : 0.820673 [ 20.81 %]\n", + "Total : 3.94355 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6607 432 94 5 4 \n", + "1 : 6647 404 85 3 3 \n", + "2 : 6603 440 89 5 5 \n", + "3 : 6624 420 85 7 6 \n", + "4 : 6629 412 92 5 4 \n", + "5 : 6645 407 81 7 2 \n", + "6 : 6631 418 87 4 2 \n", + "7 : 6600 445 80 15 2 \n", + "8 : 6628 413 86 8 7 \n", + "9 : 6618 406 100 11 7 \n", + "10 : 6559 487 87 7 2 \n", + "11 : 6634 407 93 5 3 \n", + "12 : 6652 393 87 7 3 \n", + "13 : 6616 444 84 8 2 \n", + "\n", + "T : 92693 5928 1230 97 52 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 5.2138e-02 sec\n", + "--- Collate = 8.0251e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.319588e-05 < 6.250000e-03 [25]\n", + "--- Max DT=3.031218e-01 > 1.000000e-01 [70201]\n", + "----------------------------------------------------------------------\n", + " Component | low: 25/100000\n", + " Component | high: 70201/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=11.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00102441 [ 0.02 %]\n", + "Velocity : 0.00222993 [ 0.05 %]\n", + "Force : 0.700642 [ 16.06 %]\n", + "Coefs : 2.82727 [ 64.82 %]\n", + "Output : 0.0015439 [ 0.04 %]\n", + "Levels : 0.000349493 [ 0.01 %]\n", + "Report : 1.155e-06 [ 0.00 %]\n", + "Balance : 3.13e-07 [ 0.00 %]\n", + "Adjust : 0.82836 [ 18.99 %]\n", + "Total : 4.36147 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6605 435 92 6 4 \n", + "1 : 6648 401 87 3 3 \n", + "2 : 6605 438 88 8 3 \n", + "3 : 6624 421 85 7 5 \n", + "4 : 6629 413 91 5 4 \n", + "5 : 6647 405 81 6 3 \n", + "6 : 6629 420 86 6 1 \n", + "7 : 6599 446 80 15 2 \n", + "8 : 6631 409 88 7 7 \n", + "9 : 6622 402 99 12 7 \n", + "10 : 6558 487 88 7 2 \n", + "11 : 6635 408 91 6 2 \n", + "12 : 6650 396 86 7 3 \n", + "13 : 6615 444 84 8 3 \n", + "\n", + "T : 92697 5925 1226 103 49 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 6.9415e-02 sec\n", + "--- Collate = 1.4048e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.950417e-06 < 6.250000e-03 [21]\n", + "--- Max DT=3.031023e-01 > 1.000000e-01 [70220]\n", + "----------------------------------------------------------------------\n", + " Component | low: 21/100000\n", + " Component | high: 70220/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=11.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00482317 [ 0.12 %]\n", + "Velocity : 0.00216148 [ 0.05 %]\n", + "Force : 0.668818 [ 16.65 %]\n", + "Coefs : 2.50939 [ 62.46 %]\n", + "Output : 0.00152107 [ 0.04 %]\n", + "Levels : 0.000352282 [ 0.01 %]\n", + "Report : 4.89e-07 [ 0.00 %]\n", + "Balance : 3.32e-07 [ 0.00 %]\n", + "Adjust : 0.830328 [ 20.67 %]\n", + "Total : 4.01745 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6603 435 94 5 5 \n", + "1 : 6647 402 88 2 3 \n", + "2 : 6602 441 87 10 2 \n", + "3 : 6623 423 85 8 3 \n", + "4 : 6627 415 91 7 2 \n", + "5 : 6644 409 79 6 4 \n", + "6 : 6625 425 85 5 2 \n", + "7 : 6597 448 83 12 2 \n", + "8 : 6630 410 88 7 7 \n", + "9 : 6622 403 98 10 9 \n", + "10 : 6555 491 87 6 3 \n", + "11 : 6631 411 92 6 2 \n", + "12 : 6651 393 89 7 2 \n", + "13 : 6618 441 83 8 4 \n", + "\n", + "T : 92675 5947 1229 99 50 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 5.3414e-02 sec\n", + "--- Collate = 8.0336e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.674481e-04 < 6.250000e-03 [22]\n", + "--- Max DT=3.030805e-01 > 1.000000e-01 [70245]\n", + "----------------------------------------------------------------------\n", + " Component | low: 22/100000\n", + " Component | high: 70245/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=11.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000880098 [ 0.02 %]\n", + "Velocity : 0.00210137 [ 0.04 %]\n", + "Force : 0.773948 [ 16.16 %]\n", + "Coefs : 3.06669 [ 64.03 %]\n", + "Output : 0.00152758 [ 0.03 %]\n", + "Levels : 0.000343576 [ 0.01 %]\n", + "Report : 9.36e-07 [ 0.00 %]\n", + "Balance : 3.64e-07 [ 0.00 %]\n", + "Adjust : 0.943829 [ 19.71 %]\n", + "Total : 4.78938 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6605 431 96 6 4 \n", + "1 : 6644 405 88 2 3 \n", + "2 : 6605 438 85 11 3 \n", + "3 : 6622 424 86 7 3 \n", + "4 : 6627 415 91 7 2 \n", + "5 : 6643 411 79 5 4 \n", + "6 : 6626 424 85 4 3 \n", + "7 : 6593 451 84 13 1 \n", + "8 : 6631 409 89 7 6 \n", + "9 : 6621 403 100 9 9 \n", + "10 : 6553 492 89 6 2 \n", + "11 : 6631 410 93 6 2 \n", + "12 : 6649 396 89 6 2 \n", + "13 : 6621 438 83 9 3 \n", + "\n", + "T : 92671 5947 1237 98 47 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 4.0276e-02 sec\n", + "--- Collate = 5.0520e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.996692e-05 < 6.250000e-03 [18]\n", + "--- Max DT=3.030570e-01 > 1.000000e-01 [70252]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 70252/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=11.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000950493 [ 0.02 %]\n", + "Velocity : 0.00204875 [ 0.05 %]\n", + "Force : 0.686942 [ 15.99 %]\n", + "Coefs : 2.74399 [ 63.88 %]\n", + "Output : 0.0015952 [ 0.04 %]\n", + "Levels : 0.000368226 [ 0.01 %]\n", + "Report : 1.032e-06 [ 0.00 %]\n", + "Balance : 4.25e-07 [ 0.00 %]\n", + "Adjust : 0.859567 [ 20.01 %]\n", + "Total : 4.29552 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6610 426 96 6 4 \n", + "1 : 6645 404 88 2 3 \n", + "2 : 6607 433 89 10 3 \n", + "3 : 6623 422 87 8 2 \n", + "4 : 6622 420 92 5 3 \n", + "5 : 6644 411 78 6 3 \n", + "6 : 6627 420 88 4 3 \n", + "7 : 6591 454 84 11 2 \n", + "8 : 6630 410 89 7 6 \n", + "9 : 6621 402 100 11 8 \n", + "10 : 6555 490 88 8 1 \n", + "11 : 6628 412 95 5 2 \n", + "12 : 6650 393 90 8 1 \n", + "13 : 6618 443 82 8 3 \n", + "\n", + "T : 92671 5940 1246 99 44 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 5.3340e-02 sec\n", + "--- Collate = 8.0160e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.710849e-05 < 6.250000e-03 [18]\n", + "--- Max DT=3.030312e-01 > 1.000000e-01 [70249]\n", + "----------------------------------------------------------------------\n", + " Component | low: 18/100000\n", + " Component | high: 70249/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=11.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00485096 [ 0.12 %]\n", + "Velocity : 0.00229388 [ 0.06 %]\n", + "Force : 0.676172 [ 16.59 %]\n", + "Coefs : 2.59426 [ 63.66 %]\n", + "Output : 0.00151245 [ 0.04 %]\n", + "Levels : 0.000294623 [ 0.01 %]\n", + "Report : 5.73e-07 [ 0.00 %]\n", + "Balance : 2.87e-07 [ 0.00 %]\n", + "Adjust : 0.795879 [ 19.53 %]\n", + "Total : 4.07532 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6610 426 96 6 4 \n", + "1 : 6643 406 89 1 3 \n", + "2 : 6609 429 91 10 3 \n", + "3 : 6623 422 88 8 1 \n", + "4 : 6625 416 93 4 4 \n", + "5 : 6647 408 78 6 3 \n", + "6 : 6624 423 89 4 2 \n", + "7 : 6591 453 85 9 4 \n", + "8 : 6630 410 90 7 5 \n", + "9 : 6619 403 101 13 6 \n", + "10 : 6554 490 88 9 1 \n", + "11 : 6627 414 94 5 2 \n", + "12 : 6649 394 90 8 1 \n", + "13 : 6620 439 83 9 3 \n", + "\n", + "T : 92671 5933 1255 99 42 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 6.9069e-02 sec\n", + "--- Collate = 1.6028e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.189500e-04 < 6.250000e-03 [17]\n", + "--- Max DT=3.030037e-01 > 1.000000e-01 [70260]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 70260/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=11.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00069768 [ 0.02 %]\n", + "Velocity : 0.00186768 [ 0.05 %]\n", + "Force : 0.58871 [ 14.88 %]\n", + "Coefs : 2.43197 [ 61.48 %]\n", + "Output : 0.00143975 [ 0.04 %]\n", + "Levels : 0.000297259 [ 0.01 %]\n", + "Report : 1.062e-06 [ 0.00 %]\n", + "Balance : 3.97e-07 [ 0.00 %]\n", + "Adjust : 0.930785 [ 23.53 %]\n", + "Total : 3.95583 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6608 430 94 7 3 \n", + "1 : 6641 406 91 2 2 \n", + "2 : 6605 432 92 9 4 \n", + "3 : 6621 424 89 5 3 \n", + "4 : 6626 415 94 4 3 \n", + "5 : 6645 410 78 4 5 \n", + "6 : 6623 422 91 4 2 \n", + "7 : 6595 449 85 8 5 \n", + "8 : 6629 410 91 8 4 \n", + "9 : 6620 402 100 12 8 \n", + "10 : 6558 484 89 8 3 \n", + "11 : 6622 419 95 4 2 \n", + "12 : 6652 391 89 9 1 \n", + "13 : 6621 438 84 8 3 \n", + "\n", + "T : 92666 5932 1262 92 48 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 5.0089e-02 sec\n", + "--- Collate = 2.0995e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.941657e-04 < 6.250000e-03 [22]\n", + "--- Max DT=3.029750e-01 > 1.000000e-01 [70282]\n", + "----------------------------------------------------------------------\n", + " Component | low: 22/100000\n", + " Component | high: 70282/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=11.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000516464 [ 0.01 %]\n", + "Velocity : 0.00241191 [ 0.05 %]\n", + "Force : 0.682255 [ 15.20 %]\n", + "Coefs : 2.92479 [ 65.18 %]\n", + "Output : 0.00190524 [ 0.04 %]\n", + "Levels : 0.000317368 [ 0.01 %]\n", + "Report : 5e-07 [ 0.00 %]\n", + "Balance : 2.87e-07 [ 0.00 %]\n", + "Adjust : 0.874788 [ 19.50 %]\n", + "Total : 4.48705 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6607 429 96 8 2 \n", + "1 : 6638 410 89 4 1 \n", + "2 : 6604 433 91 9 5 \n", + "3 : 6624 419 91 4 4 \n", + "4 : 6625 417 93 4 3 \n", + "5 : 6646 408 78 5 5 \n", + "6 : 6623 421 92 5 1 \n", + "7 : 6590 454 84 8 6 \n", + "8 : 6632 405 93 10 2 \n", + "9 : 6621 404 97 12 8 \n", + "10 : 6560 482 89 8 3 \n", + "11 : 6623 418 95 3 3 \n", + "12 : 6648 395 89 7 3 \n", + "13 : 6623 434 86 9 2 \n", + "\n", + "T : 92664 5929 1263 96 48 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.1094e-02 sec\n", + "--- Collate = 1.2050e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.623860e-05 < 6.250000e-03 [25]\n", + "--- Max DT=3.029444e-01 > 1.000000e-01 [70286]\n", + "----------------------------------------------------------------------\n", + " Component | low: 25/100000\n", + " Component | high: 70286/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=12] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000777697 [ 0.02 %]\n", + "Velocity : 0.00230176 [ 0.06 %]\n", + "Force : 0.619174 [ 16.08 %]\n", + "Coefs : 2.36177 [ 61.34 %]\n", + "Output : 0.010553 [ 0.27 %]\n", + "Levels : 0.000314304 [ 0.01 %]\n", + "Report : 1.553e-06 [ 0.00 %]\n", + "Balance : 6.03e-07 [ 0.00 %]\n", + "Adjust : 0.855426 [ 22.22 %]\n", + "Total : 3.85038 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6606 432 95 8 1 \n", + "1 : 6633 415 88 5 1 \n", + "2 : 6606 431 92 8 5 \n", + "3 : 6621 420 91 6 4 \n", + "4 : 6625 418 92 4 3 \n", + "5 : 6646 408 76 7 5 \n", + "6 : 6620 422 94 5 1 \n", + "7 : 6590 453 85 8 6 \n", + "8 : 6631 404 93 12 2 \n", + "9 : 6623 402 97 11 9 \n", + "10 : 6559 486 85 10 2 \n", + "11 : 6623 416 97 4 2 \n", + "12 : 6647 395 89 7 4 \n", + "13 : 6621 438 85 8 2 \n", + "\n", + "T : 92651 5940 1259 103 47 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 8.8775e-02 sec\n", + "--- Collate = 6.8103e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.891411e-04 < 6.250000e-03 [26]\n", + "--- Max DT=3.029120e-01 > 1.000000e-01 [70302]\n", + "----------------------------------------------------------------------\n", + " Component | low: 26/100000\n", + " Component | high: 70302/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=12.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000460905 [ 0.01 %]\n", + "Velocity : 0.0064359 [ 0.18 %]\n", + "Force : 0.60751 [ 16.83 %]\n", + "Coefs : 2.21782 [ 61.43 %]\n", + "Output : 0.00159065 [ 0.04 %]\n", + "Levels : 0.000349653 [ 0.01 %]\n", + "Report : 2.157e-06 [ 0.00 %]\n", + "Balance : 4.23e-07 [ 0.00 %]\n", + "Adjust : 0.776267 [ 21.50 %]\n", + "Total : 3.6105 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6610 427 96 7 2 \n", + "1 : 6632 416 87 6 1 \n", + "2 : 6606 431 92 8 5 \n", + "3 : 6618 425 89 6 4 \n", + "4 : 6622 421 91 6 2 \n", + "5 : 6649 405 76 8 4 \n", + "6 : 6625 417 93 6 1 \n", + "7 : 6588 458 83 7 6 \n", + "8 : 6630 407 91 11 3 \n", + "9 : 6624 399 101 9 9 \n", + "10 : 6557 486 87 10 2 \n", + "11 : 6624 416 95 5 2 \n", + "12 : 6644 397 89 7 5 \n", + "13 : 6619 439 87 7 2 \n", + "\n", + "T : 92648 5944 1257 103 48 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.3425e-02 sec\n", + "--- Collate = 8.0497e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.895226e-04 < 6.250000e-03 [22]\n", + "--- Max DT=3.028778e-01 > 1.000000e-01 [70306]\n", + "----------------------------------------------------------------------\n", + " Component | low: 22/100000\n", + " Component | high: 70306/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=12.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00043974 [ 0.01 %]\n", + "Velocity : 0.00182358 [ 0.05 %]\n", + "Force : 0.640706 [ 17.70 %]\n", + "Coefs : 2.26694 [ 62.63 %]\n", + "Output : 0.00156492 [ 0.04 %]\n", + "Levels : 0.000316162 [ 0.01 %]\n", + "Report : 9.02e-07 [ 0.00 %]\n", + "Balance : 4.17e-07 [ 0.00 %]\n", + "Adjust : 0.707572 [ 19.55 %]\n", + "Total : 3.61942 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6609 430 94 6 3 \n", + "1 : 6632 413 90 6 1 \n", + "2 : 6606 431 92 8 5 \n", + "3 : 6619 425 88 6 4 \n", + "4 : 6622 421 90 7 2 \n", + "5 : 6645 409 76 8 4 \n", + "6 : 6622 420 93 6 1 \n", + "7 : 6588 457 84 7 6 \n", + "8 : 6629 409 91 10 3 \n", + "9 : 6626 396 103 9 8 \n", + "10 : 6552 492 86 9 3 \n", + "11 : 6620 420 95 5 2 \n", + "12 : 6645 395 91 5 6 \n", + "13 : 6620 439 83 9 3 \n", + "\n", + "T : 92635 5957 1256 101 51 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 9.9386e-02 sec\n", + "--- Collate = 6.0512e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.567253e-05 < 6.250000e-03 [23]\n", + "--- Max DT=3.028426e-01 > 1.000000e-01 [70312]\n", + "----------------------------------------------------------------------\n", + " Component | low: 23/100000\n", + " Component | high: 70312/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=12.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00188547 [ 0.04 %]\n", + "Velocity : 0.00195324 [ 0.04 %]\n", + "Force : 0.698535 [ 15.75 %]\n", + "Coefs : 2.8636 [ 64.57 %]\n", + "Output : 0.00159321 [ 0.04 %]\n", + "Levels : 0.000343106 [ 0.01 %]\n", + "Report : 9.1e-07 [ 0.00 %]\n", + "Balance : 2.7e-07 [ 0.00 %]\n", + "Adjust : 0.866888 [ 19.55 %]\n", + "Total : 4.43486 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6607 430 97 5 3 \n", + "1 : 6632 412 90 6 2 \n", + "2 : 6603 435 91 8 5 \n", + "3 : 6614 431 88 5 4 \n", + "4 : 6621 422 92 5 2 \n", + "5 : 6647 408 74 8 5 \n", + "6 : 6621 417 97 5 2 \n", + "7 : 6588 456 87 5 6 \n", + "8 : 6624 413 92 10 3 \n", + "9 : 6625 398 103 7 9 \n", + "10 : 6555 489 87 9 2 \n", + "11 : 6620 418 96 6 2 \n", + "12 : 6645 394 91 6 6 \n", + "13 : 6617 444 82 6 5 \n", + "\n", + "T : 92619 5967 1267 91 56 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 5.8395e-02 sec\n", + "--- Collate = 7.2091e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.779449e-04 < 6.250000e-03 [28]\n", + "--- Max DT=3.028048e-01 > 1.000000e-01 [70331]\n", + "----------------------------------------------------------------------\n", + " Component | low: 28/100000\n", + " Component | high: 70331/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=12.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000758952 [ 0.02 %]\n", + "Velocity : 0.00184667 [ 0.04 %]\n", + "Force : 0.766625 [ 17.13 %]\n", + "Coefs : 2.79114 [ 62.38 %]\n", + "Output : 0.00114418 [ 0.03 %]\n", + "Levels : 0.000301516 [ 0.01 %]\n", + "Report : 7.5e-07 [ 0.00 %]\n", + "Balance : 3.88e-07 [ 0.00 %]\n", + "Adjust : 0.912577 [ 20.40 %]\n", + "Total : 4.47445 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6610 426 99 4 3 \n", + "1 : 6630 413 91 6 2 \n", + "2 : 6601 439 90 6 6 \n", + "3 : 6614 430 88 7 3 \n", + "4 : 6619 426 90 5 2 \n", + "5 : 6649 407 73 8 5 \n", + "6 : 6622 417 97 4 2 \n", + "7 : 6585 458 87 6 6 \n", + "8 : 6629 409 91 10 3 \n", + "9 : 6624 400 101 8 9 \n", + "10 : 6553 490 88 9 2 \n", + "11 : 6611 428 94 8 1 \n", + "12 : 6646 392 91 5 8 \n", + "13 : 6619 442 82 6 5 \n", + "\n", + "T : 92612 5977 1262 92 57 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 4.6732e-02 sec\n", + "--- Collate = 5.5539e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.968609e-05 < 6.250000e-03 [23]\n", + "--- Max DT=3.027652e-01 > 1.000000e-01 [70343]\n", + "----------------------------------------------------------------------\n", + " Component | low: 23/100000\n", + " Component | high: 70343/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=12.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000519859 [ 0.02 %]\n", + "Velocity : 0.00142754 [ 0.04 %]\n", + "Force : 0.549986 [ 17.33 %]\n", + "Coefs : 2.02178 [ 63.72 %]\n", + "Output : 0.00114539 [ 0.04 %]\n", + "Levels : 0.000304443 [ 0.01 %]\n", + "Report : 1.2e-06 [ 0.00 %]\n", + "Balance : 6.3e-07 [ 0.00 %]\n", + "Adjust : 0.597662 [ 18.84 %]\n", + "Total : 3.17287 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6608 427 100 5 2 \n", + "1 : 6631 410 92 7 2 \n", + "2 : 6602 437 91 7 5 \n", + "3 : 6615 429 87 8 3 \n", + "4 : 6615 428 92 5 2 \n", + "5 : 6647 412 69 8 6 \n", + "6 : 6622 417 97 3 3 \n", + "7 : 6581 461 89 5 6 \n", + "8 : 6625 413 90 11 3 \n", + "9 : 6623 399 103 6 11 \n", + "10 : 6558 483 90 8 3 \n", + "11 : 6608 433 92 7 2 \n", + "12 : 6644 392 93 5 8 \n", + "13 : 6616 445 83 5 5 \n", + "\n", + "T : 92595 5986 1268 90 61 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.9355e-02 sec\n", + "--- Collate = 1.7023e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.479515e-04 < 6.250000e-03 [24]\n", + "--- Max DT=3.027246e-01 > 1.000000e-01 [70355]\n", + "----------------------------------------------------------------------\n", + " Component | low: 24/100000\n", + " Component | high: 70355/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=12.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000435577 [ 0.01 %]\n", + "Velocity : 0.00183118 [ 0.04 %]\n", + "Force : 0.712838 [ 16.84 %]\n", + "Coefs : 2.62601 [ 62.04 %]\n", + "Output : 0.00109241 [ 0.03 %]\n", + "Levels : 0.000277509 [ 0.01 %]\n", + "Report : 5.24e-07 [ 0.00 %]\n", + "Balance : 3e-07 [ 0.00 %]\n", + "Adjust : 0.890406 [ 21.04 %]\n", + "Total : 4.23295 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6609 428 96 7 2 \n", + "1 : 6631 407 95 8 1 \n", + "2 : 6600 437 93 9 3 \n", + "3 : 6618 424 88 8 4 \n", + "4 : 6614 430 91 6 1 \n", + "5 : 6647 411 72 5 7 \n", + "6 : 6617 420 99 3 3 \n", + "7 : 6580 461 90 8 3 \n", + "8 : 6623 412 91 14 2 \n", + "9 : 6623 398 103 7 11 \n", + "10 : 6553 487 92 6 4 \n", + "11 : 6607 432 95 6 2 \n", + "12 : 6647 388 92 7 8 \n", + "13 : 6620 440 84 5 5 \n", + "\n", + "T : 92589 5975 1281 99 56 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 4.8436e-02 sec\n", + "--- Collate = 5.3490e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.744901e-05 < 6.250000e-03 [24]\n", + "--- Max DT=3.026813e-01 > 1.000000e-01 [70366]\n", + "----------------------------------------------------------------------\n", + " Component | low: 24/100000\n", + " Component | high: 70366/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=12.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000492411 [ 0.01 %]\n", + "Velocity : 0.00227088 [ 0.06 %]\n", + "Force : 0.67563 [ 17.02 %]\n", + "Coefs : 2.51305 [ 63.31 %]\n", + "Output : 0.00103169 [ 0.03 %]\n", + "Levels : 0.000244789 [ 0.01 %]\n", + "Report : 6.6e-07 [ 0.00 %]\n", + "Balance : 2.95e-07 [ 0.00 %]\n", + "Adjust : 0.776599 [ 19.56 %]\n", + "Total : 3.96937 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6607 427 99 7 2 \n", + "1 : 6631 408 95 5 3 \n", + "2 : 6602 434 94 9 3 \n", + "3 : 6620 419 90 9 4 \n", + "4 : 6615 430 90 6 1 \n", + "5 : 6647 412 72 5 6 \n", + "6 : 6620 415 100 4 3 \n", + "7 : 6581 458 92 7 4 \n", + "8 : 6622 414 90 15 1 \n", + "9 : 6621 400 103 7 11 \n", + "10 : 6554 486 91 6 5 \n", + "11 : 6606 432 94 7 3 \n", + "12 : 6650 386 91 8 7 \n", + "13 : 6617 440 87 4 6 \n", + "\n", + "T : 92593 5961 1288 99 59 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 5.9605e-02 sec\n", + "--- Collate = 3.6253e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.427441e-05 < 6.250000e-03 [27]\n", + "--- Max DT=3.026367e-01 > 1.000000e-01 [70394]\n", + "----------------------------------------------------------------------\n", + " Component | low: 27/100000\n", + " Component | high: 70394/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=12.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00104495 [ 0.03 %]\n", + "Velocity : 0.00194441 [ 0.05 %]\n", + "Force : 0.676063 [ 16.49 %]\n", + "Coefs : 2.56157 [ 62.48 %]\n", + "Output : 0.00101969 [ 0.02 %]\n", + "Levels : 0.00031495 [ 0.01 %]\n", + "Report : 1.196e-06 [ 0.00 %]\n", + "Balance : 4.26e-07 [ 0.00 %]\n", + "Adjust : 0.857943 [ 20.93 %]\n", + "Total : 4.09995 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6603 432 97 9 1 \n", + "1 : 6629 408 97 5 3 \n", + "2 : 6596 440 94 7 5 \n", + "3 : 6621 418 91 10 2 \n", + "4 : 6613 434 88 6 1 \n", + "5 : 6645 414 72 5 6 \n", + "6 : 6622 412 101 4 3 \n", + "7 : 6577 462 93 6 4 \n", + "8 : 6623 410 94 13 2 \n", + "9 : 6624 396 104 7 11 \n", + "10 : 6555 482 93 8 4 \n", + "11 : 6604 434 94 7 3 \n", + "12 : 6647 390 91 8 6 \n", + "13 : 6621 435 88 5 5 \n", + "\n", + "T : 92580 5967 1297 100 56 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 4.7545e-02 sec\n", + "--- Collate = 6.0740e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.332898e-05 < 6.250000e-03 [26]\n", + "--- Max DT=3.025906e-01 > 1.000000e-01 [70408]\n", + "----------------------------------------------------------------------\n", + " Component | low: 26/100000\n", + " Component | high: 70408/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=12.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00048354 [ 0.01 %]\n", + "Velocity : 0.00126528 [ 0.04 %]\n", + "Force : 0.572677 [ 16.77 %]\n", + "Coefs : 2.09105 [ 61.24 %]\n", + "Output : 0.00104841 [ 0.03 %]\n", + "Levels : 0.00031091 [ 0.01 %]\n", + "Report : 1.385e-06 [ 0.00 %]\n", + "Balance : 4.39e-07 [ 0.00 %]\n", + "Adjust : 0.747872 [ 21.90 %]\n", + "Total : 3.41477 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6599 436 97 8 2 \n", + "1 : 6627 410 98 4 3 \n", + "2 : 6597 436 97 6 6 \n", + "3 : 6618 417 97 8 2 \n", + "4 : 6613 436 86 5 2 \n", + "5 : 6642 417 72 4 7 \n", + "6 : 6618 414 103 4 3 \n", + "7 : 6578 459 96 6 3 \n", + "8 : 6628 405 94 10 5 \n", + "9 : 6622 399 105 6 10 \n", + "10 : 6555 482 93 9 3 \n", + "11 : 6602 436 93 7 4 \n", + "12 : 6644 393 91 9 5 \n", + "13 : 6617 436 91 5 5 \n", + "\n", + "T : 92560 5976 1313 91 60 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 6.5369e-02 sec\n", + "--- Collate = 2.0029e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.266537e-04 < 6.250000e-03 [26]\n", + "--- Max DT=3.025453e-01 > 1.000000e-01 [70417]\n", + "----------------------------------------------------------------------\n", + " Component | low: 26/100000\n", + " Component | high: 70417/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=13] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000424362 [ 0.01 %]\n", + "Velocity : 0.00131353 [ 0.03 %]\n", + "Force : 0.648076 [ 16.76 %]\n", + "Coefs : 2.42193 [ 62.63 %]\n", + "Output : 0.0101556 [ 0.26 %]\n", + "Levels : 0.000284323 [ 0.01 %]\n", + "Report : 1.255e-06 [ 0.00 %]\n", + "Balance : 5.05e-07 [ 0.00 %]\n", + "Adjust : 0.784868 [ 20.30 %]\n", + "Total : 3.86711 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6597 440 95 8 2 \n", + "1 : 6625 412 98 5 2 \n", + "2 : 6598 435 97 6 6 \n", + "3 : 6615 420 98 8 1 \n", + "4 : 6607 440 88 4 3 \n", + "5 : 6640 420 71 5 6 \n", + "6 : 6622 409 106 3 2 \n", + "7 : 6574 461 97 7 3 \n", + "8 : 6629 402 98 8 5 \n", + "9 : 6615 403 108 7 9 \n", + "10 : 6554 483 90 12 3 \n", + "11 : 6605 432 95 6 4 \n", + "12 : 6644 394 91 9 4 \n", + "13 : 6623 432 90 5 4 \n", + "\n", + "T : 92548 5983 1322 93 54 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 3.9391e-02 sec\n", + "--- Collate = 3.0373e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.479626e-05 < 6.250000e-03 [26]\n", + "--- Max DT=3.025395e-01 > 1.000000e-01 [70452]\n", + "----------------------------------------------------------------------\n", + " Component | low: 26/100000\n", + " Component | high: 70452/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=13.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000406647 [ 0.01 %]\n", + "Velocity : 0.00942168 [ 0.32 %]\n", + "Force : 0.521467 [ 17.58 %]\n", + "Coefs : 1.85128 [ 62.41 %]\n", + "Output : 0.0012186 [ 0.04 %]\n", + "Levels : 0.000642518 [ 0.02 %]\n", + "Report : 1.579e-06 [ 0.00 %]\n", + "Balance : 5.4e-07 [ 0.00 %]\n", + "Adjust : 0.582022 [ 19.62 %]\n", + "Total : 2.96651 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6597 442 93 7 3 \n", + "1 : 6625 412 98 5 2 \n", + "2 : 6596 437 97 6 6 \n", + "3 : 6616 419 99 7 1 \n", + "4 : 6603 443 89 4 3 \n", + "5 : 6641 420 71 2 8 \n", + "6 : 6620 409 108 3 2 \n", + "7 : 6574 457 101 7 3 \n", + "8 : 6633 399 97 7 6 \n", + "9 : 6616 404 106 7 9 \n", + "10 : 6553 484 92 10 3 \n", + "11 : 6599 438 96 5 4 \n", + "12 : 6642 396 92 8 4 \n", + "13 : 6624 428 92 6 4 \n", + "\n", + "T : 92539 5988 1331 84 58 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.9658e-02 sec\n", + "--- Collate = 2.0884e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.136988e-04 < 6.250000e-03 [26]\n", + "--- Max DT=3.025340e-01 > 1.000000e-01 [70460]\n", + "----------------------------------------------------------------------\n", + " Component | low: 26/100000\n", + " Component | high: 70460/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=13.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000353614 [ 0.01 %]\n", + "Velocity : 0.00120197 [ 0.04 %]\n", + "Force : 0.509362 [ 16.90 %]\n", + "Coefs : 1.84287 [ 61.16 %]\n", + "Output : 0.00137692 [ 0.05 %]\n", + "Levels : 0.000315946 [ 0.01 %]\n", + "Report : 1.26e-06 [ 0.00 %]\n", + "Balance : 3.56e-07 [ 0.00 %]\n", + "Adjust : 0.657899 [ 21.83 %]\n", + "Total : 3.01343 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6595 443 94 8 2 \n", + "1 : 6625 409 101 6 1 \n", + "2 : 6595 437 98 5 7 \n", + "3 : 6616 417 103 5 1 \n", + "4 : 6600 449 86 4 3 \n", + "5 : 6641 417 74 6 4 \n", + "6 : 6623 406 107 4 2 \n", + "7 : 6571 460 100 7 4 \n", + "8 : 6630 402 97 7 6 \n", + "9 : 6610 413 103 10 6 \n", + "10 : 6553 480 96 10 3 \n", + "11 : 6598 440 95 5 4 \n", + "12 : 6643 396 92 9 2 \n", + "13 : 6619 434 91 6 4 \n", + "\n", + "T : 92519 6003 1337 92 49 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.3532e-02 sec\n", + "--- Collate = 7.0602e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.814094e-05 < 6.250000e-03 [26]\n", + "--- Max DT=3.025281e-01 > 1.000000e-01 [70460]\n", + "----------------------------------------------------------------------\n", + " Component | low: 26/100000\n", + " Component | high: 70460/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=13.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00751172 [ 0.16 %]\n", + "Velocity : 0.00147768 [ 0.03 %]\n", + "Force : 0.761416 [ 16.19 %]\n", + "Coefs : 2.9737 [ 63.24 %]\n", + "Output : 0.00132147 [ 0.03 %]\n", + "Levels : 0.00030599 [ 0.01 %]\n", + "Report : 9.26e-07 [ 0.00 %]\n", + "Balance : 4.85e-07 [ 0.00 %]\n", + "Adjust : 0.956366 [ 20.34 %]\n", + "Total : 4.70215 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6593 445 94 7 3 \n", + "1 : 6626 409 101 4 2 \n", + "2 : 6599 432 99 3 9 \n", + "3 : 6615 418 102 4 3 \n", + "4 : 6602 444 89 4 3 \n", + "5 : 6643 415 72 8 4 \n", + "6 : 6623 407 106 4 2 \n", + "7 : 6574 455 102 6 5 \n", + "8 : 6626 405 98 7 6 \n", + "9 : 6608 416 103 10 5 \n", + "10 : 6552 482 95 10 3 \n", + "11 : 6596 444 94 5 3 \n", + "12 : 6644 396 92 8 2 \n", + "13 : 6616 436 93 5 4 \n", + "\n", + "T : 92517 6004 1340 85 54 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 5.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.0515e-02 sec\n", + "--- Collate = 4.0233e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.062921e-04 < 6.250000e-03 [25]\n", + "--- Max DT=3.025220e-01 > 1.000000e-01 [70487]\n", + "----------------------------------------------------------------------\n", + " Component | low: 25/100000\n", + " Component | high: 70487/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=13.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000430905 [ 0.01 %]\n", + "Velocity : 0.00168622 [ 0.03 %]\n", + "Force : 0.789747 [ 15.33 %]\n", + "Coefs : 3.36647 [ 65.35 %]\n", + "Output : 0.00221272 [ 0.04 %]\n", + "Levels : 0.00034137 [ 0.01 %]\n", + "Report : 7.95e-07 [ 0.00 %]\n", + "Balance : 3.2e-07 [ 0.00 %]\n", + "Adjust : 0.99089 [ 19.23 %]\n", + "Total : 5.15184 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6599 439 95 5 4 \n", + "1 : 6626 409 101 3 3 \n", + "2 : 6590 440 100 4 8 \n", + "3 : 6614 418 103 4 3 \n", + "4 : 6599 449 87 4 3 \n", + "5 : 6639 419 72 7 5 \n", + "6 : 6624 407 105 4 2 \n", + "7 : 6569 460 102 5 6 \n", + "8 : 6620 410 99 7 6 \n", + "9 : 6605 417 105 10 5 \n", + "10 : 6552 482 96 7 5 \n", + "11 : 6597 443 95 5 2 \n", + "12 : 6638 403 92 6 3 \n", + "13 : 6615 437 92 6 4 \n", + "\n", + "T : 92487 6033 1344 77 59 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 1.1048e-01 sec\n", + "--- Collate = 1.0776e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.789736e-05 < 6.250000e-03 [24]\n", + "--- Max DT=3.025149e-01 > 1.000000e-01 [70507]\n", + "----------------------------------------------------------------------\n", + " Component | low: 24/100000\n", + " Component | high: 70507/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=13.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00148922 [ 0.03 %]\n", + "Velocity : 0.00200153 [ 0.04 %]\n", + "Force : 0.81327 [ 16.57 %]\n", + "Coefs : 3.03142 [ 61.78 %]\n", + "Output : 0.00542064 [ 0.11 %]\n", + "Levels : 0.000260547 [ 0.01 %]\n", + "Report : 1.143e-06 [ 0.00 %]\n", + "Balance : 3.72e-07 [ 0.00 %]\n", + "Adjust : 1.05275 [ 21.46 %]\n", + "Total : 4.90668 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6600 437 96 5 4 \n", + "1 : 6632 402 102 3 3 \n", + "2 : 6595 435 100 4 8 \n", + "3 : 6614 417 103 5 3 \n", + "4 : 6597 452 86 4 3 \n", + "5 : 6637 415 79 6 5 \n", + "6 : 6626 403 106 5 2 \n", + "7 : 6572 456 103 5 6 \n", + "8 : 6622 407 100 7 6 \n", + "9 : 6604 417 106 12 3 \n", + "10 : 6548 485 98 6 5 \n", + "11 : 6595 446 94 5 2 \n", + "12 : 6636 402 95 6 3 \n", + "13 : 6615 433 96 8 2 \n", + "\n", + "T : 92493 6007 1364 81 55 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 6.3637e-02 sec\n", + "--- Collate = 9.7148e-04 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.144783e-04 < 6.250000e-03 [29]\n", + "--- Max DT=3.025075e-01 > 1.000000e-01 [70527]\n", + "----------------------------------------------------------------------\n", + " Component | low: 29/100000\n", + " Component | high: 70527/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=13.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000447885 [ 0.01 %]\n", + "Velocity : 0.00163952 [ 0.04 %]\n", + "Force : 0.737018 [ 16.99 %]\n", + "Coefs : 2.6832 [ 61.85 %]\n", + "Output : 0.00129253 [ 0.03 %]\n", + "Levels : 0.000311753 [ 0.01 %]\n", + "Report : 9.33e-07 [ 0.00 %]\n", + "Balance : 3.76e-07 [ 0.00 %]\n", + "Adjust : 0.914387 [ 21.08 %]\n", + "Total : 4.33835 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6601 437 95 5 4 \n", + "1 : 6628 407 100 3 4 \n", + "2 : 6594 436 100 5 7 \n", + "3 : 6612 419 103 6 2 \n", + "4 : 6591 457 87 4 3 \n", + "5 : 6636 415 81 6 4 \n", + "6 : 6622 402 112 5 1 \n", + "7 : 6570 457 105 3 7 \n", + "8 : 6618 411 100 6 7 \n", + "9 : 6604 417 106 12 3 \n", + "10 : 6544 489 99 5 5 \n", + "11 : 6600 441 95 4 2 \n", + "12 : 6634 402 96 5 5 \n", + "13 : 6616 431 96 10 1 \n", + "\n", + "T : 92470 6021 1375 79 55 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 9.9338e-02 sec\n", + "--- Collate = 4.0533e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.609633e-04 < 6.250000e-03 [23]\n", + "--- Max DT=3.025004e-01 > 1.000000e-01 [70530]\n", + "----------------------------------------------------------------------\n", + " Component | low: 23/100000\n", + " Component | high: 70530/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=13.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000621687 [ 0.02 %]\n", + "Velocity : 0.00189867 [ 0.05 %]\n", + "Force : 0.664667 [ 17.01 %]\n", + "Coefs : 2.41359 [ 61.78 %]\n", + "Output : 0.00120803 [ 0.03 %]\n", + "Levels : 0.000277642 [ 0.01 %]\n", + "Report : 7.47e-07 [ 0.00 %]\n", + "Balance : 3.29e-07 [ 0.00 %]\n", + "Adjust : 0.824133 [ 21.10 %]\n", + "Total : 3.90646 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6599 436 99 5 3 \n", + "1 : 6627 409 99 3 4 \n", + "2 : 6591 438 102 5 6 \n", + "3 : 6608 424 102 6 2 \n", + "4 : 6593 453 90 3 3 \n", + "5 : 6636 414 83 5 4 \n", + "6 : 6617 406 114 4 1 \n", + "7 : 6571 456 105 4 6 \n", + "8 : 6617 411 101 6 7 \n", + "9 : 6599 421 109 13 0 \n", + "10 : 6544 485 103 6 4 \n", + "11 : 6594 448 93 5 2 \n", + "12 : 6631 403 97 6 5 \n", + "13 : 6614 436 92 10 2 \n", + "\n", + "T : 92441 6040 1389 81 49 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 6.2582e-02 sec\n", + "--- Collate = 6.0374e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.580953e-04 < 6.250000e-03 [23]\n", + "--- Max DT=3.024924e-01 > 1.000000e-01 [70548]\n", + "----------------------------------------------------------------------\n", + " Component | low: 23/100000\n", + " Component | high: 70548/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=13.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000555944 [ 0.01 %]\n", + "Velocity : 0.00157376 [ 0.04 %]\n", + "Force : 0.763222 [ 18.00 %]\n", + "Coefs : 2.54994 [ 60.15 %]\n", + "Output : 0.00118934 [ 0.03 %]\n", + "Levels : 0.000300956 [ 0.01 %]\n", + "Report : 1.093e-06 [ 0.00 %]\n", + "Balance : 4.78e-07 [ 0.00 %]\n", + "Adjust : 0.922775 [ 21.77 %]\n", + "Total : 4.23961 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6601 434 100 6 1 \n", + "1 : 6625 412 97 4 4 \n", + "2 : 6588 440 103 7 4 \n", + "3 : 6605 428 100 7 2 \n", + "4 : 6595 449 92 4 2 \n", + "5 : 6635 413 83 6 5 \n", + "6 : 6618 404 115 5 0 \n", + "7 : 6572 456 104 4 6 \n", + "8 : 6616 413 99 10 4 \n", + "9 : 6597 422 110 13 0 \n", + "10 : 6542 485 104 7 4 \n", + "11 : 6589 451 95 5 2 \n", + "12 : 6630 407 93 6 6 \n", + "13 : 6612 437 94 8 3 \n", + "\n", + "T : 92425 6051 1389 92 43 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info in comp, mlevel=3--------------------------------------\n", + "----------------------------------------------------------------------\n", + " COM: 2.618230e-04\n", + " Position: 2.170547e+01\n", + " --------------------------------------------------\n", + " *** fix pos : 1.125120e+01 \n", + " --------------------------------------------------\n", + " Ang mom: 3.180517e+00\n", + " Zero: 8.593639e-02\n", + " Accel: 2.551630e+00\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " Interaction: 3.808430e-04\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " External: 6.111420e-04\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " Expand: 1.881952e+02\n", + " Force: 2.640837e+00\n", + " Elapsed: 3.001579e+02\n", + "----------------------------------------------------------------------\n", + "\n", + "mstep/Mstep=6/16\n", + "0 |70 1 |69 2 |139 3 |278 4 |556 \n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 4.0106e-02 sec\n", + "--- Collate = 7.0318e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.431840e-05 < 6.250000e-03 [20]\n", + "--- Max DT=3.024841e-01 > 1.000000e-01 [70554]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 70554/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=13.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000489153 [ 0.01 %]\n", + "Velocity : 0.00205041 [ 0.05 %]\n", + "Force : 0.637468 [ 16.12 %]\n", + "Coefs : 2.45495 [ 62.06 %]\n", + "Output : 0.00150409 [ 0.04 %]\n", + "Levels : 0.000333952 [ 0.01 %]\n", + "Report : 1.072e-06 [ 0.00 %]\n", + "Balance : 3.98e-07 [ 0.00 %]\n", + "Adjust : 0.858854 [ 21.71 %]\n", + "Total : 3.95571 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6600 433 102 5 2 \n", + "1 : 6627 409 98 4 4 \n", + "2 : 6585 443 103 7 4 \n", + "3 : 6602 431 100 6 3 \n", + "4 : 6592 452 92 5 1 \n", + "5 : 6635 414 83 6 4 \n", + "6 : 6614 409 114 5 0 \n", + "7 : 6571 460 101 4 6 \n", + "8 : 6615 413 100 10 4 \n", + "9 : 6599 419 110 12 2 \n", + "10 : 6541 485 104 8 4 \n", + "11 : 6587 451 97 6 1 \n", + "12 : 6630 406 94 5 7 \n", + "13 : 6609 437 97 8 3 \n", + "\n", + "T : 92407 6062 1395 91 45 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.3560e-02 sec\n", + "--- Collate = 5.9866e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.780842e-04 < 6.250000e-03 [19]\n", + "--- Max DT=3.024830e-01 > 1.000000e-01 [70576]\n", + "----------------------------------------------------------------------\n", + " Component | low: 19/100000\n", + " Component | high: 70576/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=14] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000527729 [ 0.01 %]\n", + "Velocity : 0.00295164 [ 0.08 %]\n", + "Force : 0.584426 [ 16.46 %]\n", + "Coefs : 2.09852 [ 59.09 %]\n", + "Output : 0.017226 [ 0.49 %]\n", + "Levels : 0.00022607 [ 0.01 %]\n", + "Report : 1.328e-06 [ 0.00 %]\n", + "Balance : 6.35e-07 [ 0.00 %]\n", + "Adjust : 0.84753 [ 23.86 %]\n", + "Total : 3.55146 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6600 433 101 4 4 \n", + "1 : 6627 408 100 4 3 \n", + "2 : 6584 444 104 7 3 \n", + "3 : 6601 432 99 7 3 \n", + "4 : 6595 447 94 5 1 \n", + "5 : 6634 415 84 4 5 \n", + "6 : 6612 412 111 7 0 \n", + "7 : 6572 456 104 5 5 \n", + "8 : 6611 416 101 9 5 \n", + "9 : 6597 421 110 11 3 \n", + "10 : 6535 491 102 11 3 \n", + "11 : 6583 456 96 6 1 \n", + "12 : 6633 402 95 5 7 \n", + "13 : 6607 442 94 8 3 \n", + "\n", + "T : 92391 6075 1395 93 46 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 5.7529e-02 sec\n", + "--- Collate = 4.9952e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.116969e-04 < 6.250000e-03 [17]\n", + "--- Max DT=3.024840e-01 > 1.000000e-01 [70606]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 70606/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=14.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000486628 [ 0.01 %]\n", + "Velocity : 0.00159502 [ 0.04 %]\n", + "Force : 0.65846 [ 16.15 %]\n", + "Coefs : 2.46888 [ 60.56 %]\n", + "Output : 0.00122407 [ 0.03 %]\n", + "Levels : 0.000273236 [ 0.01 %]\n", + "Report : 5.52e-07 [ 0.00 %]\n", + "Balance : 4.04e-07 [ 0.00 %]\n", + "Adjust : 0.946039 [ 23.20 %]\n", + "Total : 4.07701 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6600 432 102 4 4 \n", + "1 : 6628 408 99 4 3 \n", + "2 : 6580 449 104 6 3 \n", + "3 : 6598 434 101 6 3 \n", + "4 : 6593 448 95 4 2 \n", + "5 : 6633 415 84 5 5 \n", + "6 : 6614 411 110 7 0 \n", + "7 : 6572 454 104 6 6 \n", + "8 : 6612 414 103 7 6 \n", + "9 : 6601 416 111 9 5 \n", + "10 : 6535 492 101 12 2 \n", + "11 : 6583 454 98 6 1 \n", + "12 : 6630 404 96 6 6 \n", + "13 : 6604 442 100 4 4 \n", + "\n", + "T : 92383 6073 1408 86 50 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 7.3535e-02 sec\n", + "--- Collate = 6.0676e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.814888e-05 < 6.250000e-03 [15]\n", + "--- Max DT=3.024835e-01 > 1.000000e-01 [70632]\n", + "----------------------------------------------------------------------\n", + " Component | low: 15/100000\n", + " Component | high: 70632/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=14.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000632093 [ 0.01 %]\n", + "Velocity : 0.00166053 [ 0.03 %]\n", + "Force : 0.829981 [ 16.83 %]\n", + "Coefs : 3.02833 [ 61.40 %]\n", + "Output : 0.000972162 [ 0.02 %]\n", + "Levels : 0.000310288 [ 0.01 %]\n", + "Report : 7.99e-07 [ 0.00 %]\n", + "Balance : 2.6e-07 [ 0.00 %]\n", + "Adjust : 1.07055 [ 21.70 %]\n", + "Total : 4.9325 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6600 431 102 4 5 \n", + "1 : 6626 409 100 4 3 \n", + "2 : 6580 449 105 6 2 \n", + "3 : 6595 437 101 6 3 \n", + "4 : 6594 444 98 5 1 \n", + "5 : 6636 411 84 7 4 \n", + "6 : 6612 413 110 7 0 \n", + "7 : 6568 458 105 5 6 \n", + "8 : 6607 422 99 6 8 \n", + "9 : 6600 414 112 9 7 \n", + "10 : 6536 490 102 11 3 \n", + "11 : 6580 457 97 8 0 \n", + "12 : 6629 406 94 7 6 \n", + "13 : 6604 440 101 5 4 \n", + "\n", + "T : 92367 6081 1410 90 52 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.4961e-01 sec\n", + "--- Collate = 1.3030e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.325075e-04 < 6.250000e-03 [17]\n", + "--- Max DT=3.024835e-01 > 1.000000e-01 [70655]\n", + "----------------------------------------------------------------------\n", + " Component | low: 17/100000\n", + " Component | high: 70655/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=14.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000716919 [ 0.01 %]\n", + "Velocity : 0.00168288 [ 0.03 %]\n", + "Force : 0.712774 [ 14.30 %]\n", + "Coefs : 3.13289 [ 62.85 %]\n", + "Output : 0.0019861 [ 0.04 %]\n", + "Levels : 0.000336618 [ 0.01 %]\n", + "Report : 8.72e-07 [ 0.00 %]\n", + "Balance : 4.16e-07 [ 0.00 %]\n", + "Adjust : 1.1345 [ 22.76 %]\n", + "Total : 4.98494 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6597 434 102 5 4 \n", + "1 : 6626 409 100 4 3 \n", + "2 : 6576 455 103 5 3 \n", + "3 : 6593 441 99 5 4 \n", + "4 : 6595 443 98 5 1 \n", + "5 : 6639 404 88 8 3 \n", + "6 : 6608 416 112 5 1 \n", + "7 : 6566 461 103 8 4 \n", + "8 : 6610 420 97 8 7 \n", + "9 : 6597 417 111 9 8 \n", + "10 : 6537 488 103 12 2 \n", + "11 : 6573 462 100 7 0 \n", + "12 : 6628 407 95 7 5 \n", + "13 : 6603 441 101 5 4 \n", + "\n", + "T : 92348 6098 1412 93 49 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 4.5766e-02 sec\n", + "--- Collate = 9.0152e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.443643e-04 < 6.250000e-03 [24]\n", + "--- Max DT=3.024836e-01 > 1.000000e-01 [70684]\n", + "----------------------------------------------------------------------\n", + " Component | low: 24/100000\n", + " Component | high: 70684/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=14.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000473945 [ 0.01 %]\n", + "Velocity : 0.00151067 [ 0.05 %]\n", + "Force : 0.49032 [ 15.26 %]\n", + "Coefs : 2.0636 [ 64.24 %]\n", + "Output : 0.000774881 [ 0.02 %]\n", + "Levels : 0.00017553 [ 0.01 %]\n", + "Report : 3.61e-07 [ 0.00 %]\n", + "Balance : 1.67e-07 [ 0.00 %]\n", + "Adjust : 0.655355 [ 20.40 %]\n", + "Total : 3.21224 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6595 440 97 7 3 \n", + "1 : 6626 412 98 5 1 \n", + "2 : 6570 463 101 3 5 \n", + "3 : 6594 439 100 6 3 \n", + "4 : 6593 442 102 4 1 \n", + "5 : 6635 407 91 6 3 \n", + "6 : 6608 416 111 5 2 \n", + "7 : 6568 457 106 7 4 \n", + "8 : 6610 422 95 6 9 \n", + "9 : 6592 423 110 10 7 \n", + "10 : 6535 487 106 12 2 \n", + "11 : 6574 462 98 8 0 \n", + "12 : 6625 408 95 10 4 \n", + "13 : 6604 441 99 6 4 \n", + "\n", + "T : 92329 6119 1409 95 48 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 3.8692e-02 sec\n", + "--- Collate = 5.0118e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.878088e-06 < 6.250000e-03 [27]\n", + "--- Max DT=3.024822e-01 > 1.000000e-01 [70700]\n", + "----------------------------------------------------------------------\n", + " Component | low: 27/100000\n", + " Component | high: 70700/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=14.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000213759 [ 0.01 %]\n", + "Velocity : 0.000953283 [ 0.03 %]\n", + "Force : 0.462274 [ 14.90 %]\n", + "Coefs : 2.01218 [ 64.85 %]\n", + "Output : 0.000775256 [ 0.02 %]\n", + "Levels : 0.000142496 [ 0.00 %]\n", + "Report : 3.21e-07 [ 0.00 %]\n", + "Balance : 1.21e-07 [ 0.00 %]\n", + "Adjust : 0.626104 [ 20.18 %]\n", + "Total : 3.10267 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6593 439 100 6 4 \n", + "1 : 6624 414 99 5 0 \n", + "2 : 6567 465 103 3 4 \n", + "3 : 6592 441 101 5 3 \n", + "4 : 6586 449 101 6 0 \n", + "5 : 6630 411 92 7 2 \n", + "6 : 6606 417 111 6 2 \n", + "7 : 6566 460 103 8 5 \n", + "8 : 6616 416 97 4 9 \n", + "9 : 6591 425 109 10 7 \n", + "10 : 6533 490 104 13 2 \n", + "11 : 6577 460 98 7 0 \n", + "12 : 6627 405 97 9 4 \n", + "13 : 6601 445 99 5 4 \n", + "\n", + "T : 92309 6137 1414 94 46 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 4.1527e-02 sec\n", + "--- Collate = 7.0076e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.412084e-05 < 6.250000e-03 [29]\n", + "--- Max DT=3.024814e-01 > 1.000000e-01 [70697]\n", + "----------------------------------------------------------------------\n", + " Component | low: 29/100000\n", + " Component | high: 70697/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=14.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000204324 [ 0.01 %]\n", + "Velocity : 0.00110163 [ 0.03 %]\n", + "Force : 0.524563 [ 15.68 %]\n", + "Coefs : 2.12737 [ 63.60 %]\n", + "Output : 0.000741005 [ 0.02 %]\n", + "Levels : 0.000146026 [ 0.00 %]\n", + "Report : 2.57e-07 [ 0.00 %]\n", + "Balance : 1.72e-07 [ 0.00 %]\n", + "Adjust : 0.690907 [ 20.65 %]\n", + "Total : 3.34506 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6591 442 99 6 4 \n", + "1 : 6626 412 99 5 0 \n", + "2 : 6570 464 101 3 4 \n", + "3 : 6594 440 100 5 3 \n", + "4 : 6584 452 101 4 1 \n", + "5 : 6631 408 95 6 2 \n", + "6 : 6612 411 111 6 2 \n", + "7 : 6566 460 104 7 5 \n", + "8 : 6614 416 98 6 8 \n", + "9 : 6591 425 109 10 7 \n", + "10 : 6535 488 105 11 3 \n", + "11 : 6575 461 99 7 0 \n", + "12 : 6624 410 96 7 5 \n", + "13 : 6599 450 95 6 4 \n", + "\n", + "T : 92312 6139 1412 89 48 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 4.3617e-02 sec\n", + "--- Collate = 7.0189e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.283645e-04 < 6.250000e-03 [28]\n", + "--- Max DT=3.024802e-01 > 1.000000e-01 [70708]\n", + "----------------------------------------------------------------------\n", + " Component | low: 28/100000\n", + " Component | high: 70708/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=14.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000250587 [ 0.01 %]\n", + "Velocity : 0.0010255 [ 0.03 %]\n", + "Force : 0.580173 [ 16.03 %]\n", + "Coefs : 2.3589 [ 65.17 %]\n", + "Output : 0.000773862 [ 0.02 %]\n", + "Levels : 0.000370874 [ 0.01 %]\n", + "Report : 3.81e-07 [ 0.00 %]\n", + "Balance : 1.45e-07 [ 0.00 %]\n", + "Adjust : 0.678112 [ 18.73 %]\n", + "Total : 3.61964 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6589 440 103 6 4 \n", + "1 : 6623 412 100 7 0 \n", + "2 : 6568 465 102 3 4 \n", + "3 : 6595 438 102 4 3 \n", + "4 : 6584 451 103 3 1 \n", + "5 : 6631 412 90 7 2 \n", + "6 : 6611 413 111 5 2 \n", + "7 : 6561 463 105 7 6 \n", + "8 : 6617 414 97 3 11 \n", + "9 : 6588 427 110 10 7 \n", + "10 : 6536 490 104 8 4 \n", + "11 : 6576 460 99 5 2 \n", + "12 : 6622 411 98 6 5 \n", + "13 : 6600 450 94 7 3 \n", + "\n", + "T : 92301 6146 1418 81 54 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 4.0523e-02 sec\n", + "--- Collate = 6.0325e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.676153e-05 < 6.250000e-03 [26]\n", + "--- Max DT=3.024789e-01 > 1.000000e-01 [70718]\n", + "----------------------------------------------------------------------\n", + " Component | low: 26/100000\n", + " Component | high: 70718/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=14.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000193883 [ 0.01 %]\n", + "Velocity : 0.00147157 [ 0.04 %]\n", + "Force : 0.492043 [ 14.20 %]\n", + "Coefs : 2.2911 [ 66.10 %]\n", + "Output : 0.000989713 [ 0.03 %]\n", + "Levels : 0.000130949 [ 0.00 %]\n", + "Report : 5.15e-07 [ 0.00 %]\n", + "Balance : 1.81e-07 [ 0.00 %]\n", + "Adjust : 0.680343 [ 19.63 %]\n", + "Total : 3.4663 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6585 443 104 6 4 \n", + "1 : 6622 412 99 8 1 \n", + "2 : 6560 474 101 2 5 \n", + "3 : 6594 437 104 4 3 \n", + "4 : 6582 453 103 3 1 \n", + "5 : 6629 412 91 8 2 \n", + "6 : 6613 411 111 5 2 \n", + "7 : 6561 461 106 8 6 \n", + "8 : 6621 410 96 6 9 \n", + "9 : 6586 427 112 11 6 \n", + "10 : 6541 488 101 8 4 \n", + "11 : 6571 463 101 4 3 \n", + "12 : 6619 411 102 7 3 \n", + "13 : 6591 457 95 9 2 \n", + "\n", + "T : 92275 6159 1426 89 51 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 6.8434e-02 sec\n", + "--- Collate = 3.3072e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.261315e-04 < 6.250000e-03 [25]\n", + "--- Max DT=3.024775e-01 > 1.000000e-01 [70729]\n", + "----------------------------------------------------------------------\n", + " Component | low: 25/100000\n", + " Component | high: 70729/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=14.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000266225 [ 0.01 %]\n", + "Velocity : 0.00110857 [ 0.03 %]\n", + "Force : 0.602021 [ 15.02 %]\n", + "Coefs : 2.55643 [ 63.79 %]\n", + "Output : 0.00109247 [ 0.03 %]\n", + "Levels : 0.000281204 [ 0.01 %]\n", + "Report : 7.75e-07 [ 0.00 %]\n", + "Balance : 4.82e-07 [ 0.00 %]\n", + "Adjust : 0.846153 [ 21.11 %]\n", + "Total : 4.0074 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6582 449 101 6 4 \n", + "1 : 6623 411 101 6 1 \n", + "2 : 6563 466 106 2 5 \n", + "3 : 6594 436 104 6 2 \n", + "4 : 6586 449 103 2 2 \n", + "5 : 6628 414 91 8 1 \n", + "6 : 6608 417 109 5 3 \n", + "7 : 6560 461 107 7 7 \n", + "8 : 6626 405 96 6 9 \n", + "9 : 6585 427 112 11 7 \n", + "10 : 6537 491 102 8 4 \n", + "11 : 6571 463 102 3 3 \n", + "12 : 6620 409 101 9 3 \n", + "13 : 6589 458 96 8 3 \n", + "\n", + "T : 92272 6156 1431 87 54 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 3.3152e-02 sec\n", + "--- Collate = 8.1258e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.925141e-05 < 6.250000e-03 [20]\n", + "--- Max DT=3.024758e-01 > 1.000000e-01 [70737]\n", + "----------------------------------------------------------------------\n", + " Component | low: 20/100000\n", + " Component | high: 70737/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=15] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000761381 [ 0.02 %]\n", + "Velocity : 0.00199692 [ 0.05 %]\n", + "Force : 0.666248 [ 16.58 %]\n", + "Coefs : 2.51202 [ 62.53 %]\n", + "Output : 0.0153846 [ 0.38 %]\n", + "Levels : 0.000313481 [ 0.01 %]\n", + "Report : 1.719e-06 [ 0.00 %]\n", + "Balance : 7.35e-07 [ 0.00 %]\n", + "Adjust : 0.82075 [ 20.43 %]\n", + "Total : 4.01754 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6577 455 99 8 3 \n", + "1 : 6622 411 102 6 1 \n", + "2 : 6553 473 109 2 5 \n", + "3 : 6591 441 100 8 2 \n", + "4 : 6585 450 103 2 2 \n", + "5 : 6630 413 90 9 0 \n", + "6 : 6610 413 111 5 3 \n", + "7 : 6553 467 108 7 7 \n", + "8 : 6621 407 97 8 9 \n", + "9 : 6583 426 115 13 5 \n", + "10 : 6538 488 102 9 5 \n", + "11 : 6567 468 100 4 3 \n", + "12 : 6619 410 101 9 3 \n", + "13 : 6587 460 95 9 3 \n", + "\n", + "T : 92236 6182 1432 99 51 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 6.6447e-02 sec\n", + "--- Collate = 1.0773e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.075940e-04 < 6.250000e-03 [24]\n", + "--- Max DT=3.024742e-01 > 1.000000e-01 [70746]\n", + "----------------------------------------------------------------------\n", + " Component | low: 24/100000\n", + " Component | high: 70746/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=15.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00437953 [ 0.14 %]\n", + "Velocity : 0.00175442 [ 0.05 %]\n", + "Force : 0.551498 [ 17.29 %]\n", + "Coefs : 1.94266 [ 60.89 %]\n", + "Output : 0.000903773 [ 0.03 %]\n", + "Levels : 0.000325789 [ 0.01 %]\n", + "Report : 1.241e-06 [ 0.00 %]\n", + "Balance : 5.42e-07 [ 0.00 %]\n", + "Adjust : 0.688987 [ 21.59 %]\n", + "Total : 3.19057 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6573 460 98 9 2 \n", + "1 : 6616 416 104 4 2 \n", + "2 : 6553 474 108 3 4 \n", + "3 : 6589 441 101 9 2 \n", + "4 : 6581 454 102 3 2 \n", + "5 : 6631 408 94 9 0 \n", + "6 : 6605 413 117 3 4 \n", + "7 : 6552 468 107 8 7 \n", + "8 : 6618 410 96 9 9 \n", + "9 : 6582 431 111 13 5 \n", + "10 : 6536 490 102 11 3 \n", + "11 : 6574 461 100 4 3 \n", + "12 : 6621 410 99 9 3 \n", + "13 : 6588 459 94 10 3 \n", + "\n", + "T : 92219 6195 1433 104 49 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 19.4%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.5000e-02 sec\n", + "--- Collate = 1.0025e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.749485e-05 < 6.250000e-03 [27]\n", + "--- Max DT=3.024729e-01 > 1.000000e-01 [70766]\n", + "----------------------------------------------------------------------\n", + " Component | low: 27/100000\n", + " Component | high: 70766/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=15.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000628767 [ 0.01 %]\n", + "Velocity : 0.00227517 [ 0.05 %]\n", + "Force : 0.713584 [ 16.15 %]\n", + "Coefs : 2.76189 [ 62.51 %]\n", + "Output : 0.00157256 [ 0.04 %]\n", + "Levels : 0.000335332 [ 0.01 %]\n", + "Report : 1.002e-06 [ 0.00 %]\n", + "Balance : 5.89e-07 [ 0.00 %]\n", + "Adjust : 0.938029 [ 21.23 %]\n", + "Total : 4.41838 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6573 459 99 8 3 \n", + "1 : 6616 416 102 6 2 \n", + "2 : 6548 478 109 3 4 \n", + "3 : 6589 437 106 8 2 \n", + "4 : 6581 456 100 3 2 \n", + "5 : 6629 409 94 10 0 \n", + "6 : 6601 417 118 2 4 \n", + "7 : 6550 471 107 7 7 \n", + "8 : 6614 418 91 13 6 \n", + "9 : 6582 430 115 11 4 \n", + "10 : 6532 490 106 9 5 \n", + "11 : 6574 458 102 4 4 \n", + "12 : 6614 416 100 9 3 \n", + "13 : 6589 457 94 11 3 \n", + "\n", + "T : 92192 6212 1443 104 49 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 9.2336e-02 sec\n", + "--- Collate = 1.3043e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.677864e-06 < 6.250000e-03 [28]\n", + "--- Max DT=3.024703e-01 > 1.000000e-01 [70775]\n", + "----------------------------------------------------------------------\n", + " Component | low: 28/100000\n", + " Component | high: 70775/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=15.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000888024 [ 0.02 %]\n", + "Velocity : 0.00237106 [ 0.05 %]\n", + "Force : 0.828151 [ 16.35 %]\n", + "Coefs : 3.14966 [ 62.19 %]\n", + "Output : 0.00153828 [ 0.03 %]\n", + "Levels : 0.00032759 [ 0.01 %]\n", + "Report : 1.353e-06 [ 0.00 %]\n", + "Balance : 4.22e-07 [ 0.00 %]\n", + "Adjust : 1.08146 [ 21.35 %]\n", + "Total : 5.06446 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6569 463 99 7 4 \n", + "1 : 6619 414 102 5 2 \n", + "2 : 6547 477 111 2 5 \n", + "3 : 6591 434 108 7 2 \n", + "4 : 6580 457 100 3 2 \n", + "5 : 6632 403 98 9 0 \n", + "6 : 6597 421 119 2 3 \n", + "7 : 6548 472 107 8 7 \n", + "8 : 6618 411 95 11 7 \n", + "9 : 6578 434 114 12 4 \n", + "10 : 6533 491 104 9 5 \n", + "11 : 6576 455 102 4 5 \n", + "12 : 6618 410 100 11 3 \n", + "13 : 6592 455 93 11 3 \n", + "\n", + "T : 92198 6197 1452 101 52 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.3%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.7550e-01 sec\n", + "--- Collate = 4.8157e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.362410e-05 < 6.250000e-03 [28]\n", + "--- Max DT=3.024696e-01 > 1.000000e-01 [70792]\n", + "----------------------------------------------------------------------\n", + " Component | low: 28/100000\n", + " Component | high: 70792/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=15.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000564286 [ 0.01 %]\n", + "Velocity : 0.00208038 [ 0.04 %]\n", + "Force : 0.921935 [ 17.97 %]\n", + "Coefs : 3.0555 [ 59.57 %]\n", + "Output : 0.00140154 [ 0.03 %]\n", + "Levels : 0.000287618 [ 0.01 %]\n", + "Report : 1.367e-06 [ 0.00 %]\n", + "Balance : 7.56e-07 [ 0.00 %]\n", + "Adjust : 1.14772 [ 22.37 %]\n", + "Total : 5.12956 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6568 464 98 9 3 \n", + "1 : 6615 418 102 5 2 \n", + "2 : 6540 485 108 6 3 \n", + "3 : 6590 436 107 8 1 \n", + "4 : 6579 458 100 3 2 \n", + "5 : 6633 404 97 8 0 \n", + "6 : 6602 417 118 3 2 \n", + "7 : 6549 467 110 10 6 \n", + "8 : 6618 412 94 10 8 \n", + "9 : 6583 430 112 13 4 \n", + "10 : 6534 489 105 8 6 \n", + "11 : 6578 455 99 5 5 \n", + "12 : 6615 413 101 10 3 \n", + "13 : 6591 456 93 11 3 \n", + "\n", + "T : 92195 6204 1444 109 48 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 6.4727e-02 sec\n", + "--- Collate = 1.4894e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.135343e-05 < 6.250000e-03 [25]\n", + "--- Max DT=3.024681e-01 > 1.000000e-01 [70808]\n", + "----------------------------------------------------------------------\n", + " Component | low: 25/100000\n", + " Component | high: 70808/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=15.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000530081 [ 0.01 %]\n", + "Velocity : 0.00255597 [ 0.06 %]\n", + "Force : 0.801819 [ 17.70 %]\n", + "Coefs : 2.82327 [ 62.33 %]\n", + "Output : 0.00144307 [ 0.03 %]\n", + "Levels : 0.000291526 [ 0.01 %]\n", + "Report : 1.067e-06 [ 0.00 %]\n", + "Balance : 4.11e-07 [ 0.00 %]\n", + "Adjust : 0.899222 [ 19.85 %]\n", + "Total : 4.5292 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6566 466 98 9 3 \n", + "1 : 6618 415 103 4 2 \n", + "2 : 6533 493 107 6 3 \n", + "3 : 6588 435 109 8 2 \n", + "4 : 6582 454 102 3 1 \n", + "5 : 6633 405 96 8 0 \n", + "6 : 6597 421 118 5 1 \n", + "7 : 6550 465 112 10 5 \n", + "8 : 6616 415 94 7 10 \n", + "9 : 6580 433 112 14 3 \n", + "10 : 6528 493 107 8 6 \n", + "11 : 6573 461 99 6 3 \n", + "12 : 6613 415 101 10 3 \n", + "13 : 6594 454 92 11 3 \n", + "\n", + "T : 92171 6225 1450 109 45 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.0889e-01 sec\n", + "--- Collate = 1.6029e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.435984e-04 < 6.250000e-03 [26]\n", + "--- Max DT=3.024667e-01 > 1.000000e-01 [70827]\n", + "----------------------------------------------------------------------\n", + " Component | low: 26/100000\n", + " Component | high: 70827/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=15.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000477933 [ 0.01 %]\n", + "Velocity : 0.00185718 [ 0.03 %]\n", + "Force : 0.931283 [ 16.25 %]\n", + "Coefs : 3.59531 [ 62.72 %]\n", + "Output : 0.00148949 [ 0.03 %]\n", + "Levels : 0.000327604 [ 0.01 %]\n", + "Report : 9.16e-07 [ 0.00 %]\n", + "Balance : 3.79e-07 [ 0.00 %]\n", + "Adjust : 1.20187 [ 20.97 %]\n", + "Total : 5.73267 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6562 469 99 9 3 \n", + "1 : 6614 420 101 5 2 \n", + "2 : 6532 492 108 6 4 \n", + "3 : 6584 438 109 9 2 \n", + "4 : 6581 458 98 3 2 \n", + "5 : 6631 401 103 6 1 \n", + "6 : 6598 420 118 5 1 \n", + "7 : 6548 466 113 12 3 \n", + "8 : 6613 417 94 9 9 \n", + "9 : 6582 432 109 14 5 \n", + "10 : 6528 490 110 7 7 \n", + "11 : 6570 463 99 5 5 \n", + "12 : 6607 419 102 11 3 \n", + "13 : 6596 449 94 12 3 \n", + "\n", + "T : 92146 6234 1457 113 50 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 20.0%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.0641e-01 sec\n", + "--- Collate = 1.4013e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.447883e-04 < 6.250000e-03 [21]\n", + "--- Max DT=3.024659e-01 > 1.000000e-01 [70824]\n", + "----------------------------------------------------------------------\n", + " Component | low: 21/100000\n", + " Component | high: 70824/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=15.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000541995 [ 0.01 %]\n", + "Velocity : 0.00585333 [ 0.10 %]\n", + "Force : 0.969186 [ 16.76 %]\n", + "Coefs : 3.48823 [ 60.32 %]\n", + "Output : 0.00162911 [ 0.03 %]\n", + "Levels : 0.00030537 [ 0.01 %]\n", + "Report : 5.65e-07 [ 0.00 %]\n", + "Balance : 5.32e-07 [ 0.00 %]\n", + "Adjust : 1.31749 [ 22.78 %]\n", + "Total : 5.7833 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6563 465 102 9 3 \n", + "1 : 6615 417 103 6 1 \n", + "2 : 6530 495 107 6 4 \n", + "3 : 6589 432 110 7 4 \n", + "4 : 6582 455 99 4 2 \n", + "5 : 6632 400 103 6 1 \n", + "6 : 6593 425 118 6 0 \n", + "7 : 6550 459 116 13 4 \n", + "8 : 6612 417 96 7 10 \n", + "9 : 6577 438 107 15 5 \n", + "10 : 6529 489 110 9 5 \n", + "11 : 6567 463 103 3 6 \n", + "12 : 6609 417 102 11 3 \n", + "13 : 6596 452 92 11 3 \n", + "\n", + "T : 92144 6224 1468 113 51 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 9.2051e-02 sec\n", + "--- Collate = 7.0330e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.343297e-04 < 6.250000e-03 [25]\n", + "--- Max DT=3.024645e-01 > 1.000000e-01 [70826]\n", + "----------------------------------------------------------------------\n", + " Component | low: 25/100000\n", + " Component | high: 70826/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=15.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00487712 [ 0.11 %]\n", + "Velocity : 0.00275143 [ 0.06 %]\n", + "Force : 0.660761 [ 15.48 %]\n", + "Coefs : 2.64326 [ 61.94 %]\n", + "Output : 0.00152716 [ 0.04 %]\n", + "Levels : 0.000599986 [ 0.01 %]\n", + "Report : 1.021e-06 [ 0.00 %]\n", + "Balance : 3.22e-07 [ 0.00 %]\n", + "Adjust : 0.953539 [ 22.34 %]\n", + "Total : 4.26738 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6561 463 106 6 6 \n", + "1 : 6614 419 102 5 2 \n", + "2 : 6525 500 107 6 4 \n", + "3 : 6585 433 114 7 3 \n", + "4 : 6583 457 96 5 1 \n", + "5 : 6630 398 107 6 1 \n", + "6 : 6595 422 117 7 1 \n", + "7 : 6556 452 117 14 3 \n", + "8 : 6609 421 95 9 8 \n", + "9 : 6577 439 106 13 7 \n", + "10 : 6534 483 111 9 5 \n", + "11 : 6575 453 104 4 6 \n", + "12 : 6610 416 103 11 2 \n", + "13 : 6594 457 90 8 5 \n", + "\n", + "T : 92148 6213 1475 110 54 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.7230e-02 sec\n", + "--- Collate = 6.0685e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.386033e-04 < 6.250000e-03 [23]\n", + "--- Max DT=3.024642e-01 > 1.000000e-01 [70844]\n", + "----------------------------------------------------------------------\n", + " Component | low: 23/100000\n", + " Component | high: 70844/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=15.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000809481 [ 0.02 %]\n", + "Velocity : 0.002142 [ 0.05 %]\n", + "Force : 0.687587 [ 15.66 %]\n", + "Coefs : 2.70683 [ 61.66 %]\n", + "Output : 0.0016945 [ 0.04 %]\n", + "Levels : 0.000298417 [ 0.01 %]\n", + "Report : 7.05e-07 [ 0.00 %]\n", + "Balance : 2.76e-07 [ 0.00 %]\n", + "Adjust : 0.990209 [ 22.56 %]\n", + "Total : 4.38964 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6559 470 102 5 6 \n", + "1 : 6613 422 99 6 2 \n", + "2 : 6525 494 113 7 3 \n", + "3 : 6585 432 117 4 4 \n", + "4 : 6580 461 94 5 2 \n", + "5 : 6626 403 106 6 1 \n", + "6 : 6589 427 119 5 2 \n", + "7 : 6554 452 120 13 3 \n", + "8 : 6608 424 94 9 7 \n", + "9 : 6579 437 107 13 6 \n", + "10 : 6527 491 110 11 3 \n", + "11 : 6575 450 107 5 5 \n", + "12 : 6613 415 100 13 1 \n", + "13 : 6599 452 90 7 6 \n", + "\n", + "T : 92132 6230 1478 109 51 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 19.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.0821e-02 sec\n", + "--- Collate = 2.7022e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.379061e-05 < 6.250000e-03 [23]\n", + "--- Max DT=3.024711e-01 > 1.000000e-01 [70864]\n", + "----------------------------------------------------------------------\n", + " Component | low: 23/100000\n", + " Component | high: 70864/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=16] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000563186 [ 0.02 %]\n", + "Velocity : 0.00616599 [ 0.18 %]\n", + "Force : 0.637617 [ 18.62 %]\n", + "Coefs : 2.13503 [ 62.34 %]\n", + "Output : 0.0168114 [ 0.49 %]\n", + "Levels : 0.000302863 [ 0.01 %]\n", + "Report : 1.248e-06 [ 0.00 %]\n", + "Balance : 6.66e-07 [ 0.00 %]\n", + "Adjust : 0.628503 [ 18.35 %]\n", + "Total : 3.42505 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6555 475 101 5 6 \n", + "1 : 6611 421 103 6 1 \n", + "2 : 6526 495 110 8 3 \n", + "3 : 6573 443 119 4 3 \n", + "4 : 6581 456 97 5 3 \n", + "5 : 6631 399 106 5 1 \n", + "6 : 6580 437 118 5 2 \n", + "7 : 6553 455 118 12 4 \n", + "8 : 6613 415 100 10 4 \n", + "9 : 6578 437 108 10 9 \n", + "10 : 6524 493 109 12 4 \n", + "11 : 6574 448 110 5 5 \n", + "12 : 6611 417 99 13 2 \n", + "13 : 6594 459 88 7 6 \n", + "\n", + "T : 92104 6250 1486 107 53 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 5.5371e-02 sec\n", + "--- Collate = 1.0041e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.717633e-04 < 6.250000e-03 [29]\n", + "--- Max DT=3.024969e-01 > 1.000000e-01 [70880]\n", + "----------------------------------------------------------------------\n", + " Component | low: 29/100000\n", + " Component | high: 70880/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=16.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000338288 [ 0.01 %]\n", + "Velocity : 0.0076383 [ 0.17 %]\n", + "Force : 0.703981 [ 15.86 %]\n", + "Coefs : 2.80527 [ 63.18 %]\n", + "Output : 0.00156197 [ 0.04 %]\n", + "Levels : 0.000334404 [ 0.01 %]\n", + "Report : 1.058e-06 [ 0.00 %]\n", + "Balance : 4.54e-07 [ 0.00 %]\n", + "Adjust : 0.920696 [ 20.74 %]\n", + "Total : 4.43988 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6562 470 98 6 6 \n", + "1 : 6609 420 107 5 1 \n", + "2 : 6528 492 110 9 3 \n", + "3 : 6574 438 121 7 2 \n", + "4 : 6581 454 98 6 3 \n", + "5 : 6629 397 109 5 2 \n", + "6 : 6581 435 119 5 2 \n", + "7 : 6554 457 114 12 5 \n", + "8 : 6608 415 105 10 4 \n", + "9 : 6576 440 107 9 10 \n", + "10 : 6522 495 109 13 3 \n", + "11 : 6576 447 109 5 5 \n", + "12 : 6611 416 97 17 1 \n", + "13 : 6594 460 87 7 6 \n", + "\n", + "T : 92105 6236 1490 116 53 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.0945e-02 sec\n", + "--- Collate = 1.2986e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.383849e-05 < 6.250000e-03 [26]\n", + "--- Max DT=3.025229e-01 > 1.000000e-01 [70872]\n", + "----------------------------------------------------------------------\n", + " Component | low: 26/100000\n", + " Component | high: 70872/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=16.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000775847 [ 0.02 %]\n", + "Velocity : 0.00671855 [ 0.20 %]\n", + "Force : 0.529724 [ 15.41 %]\n", + "Coefs : 2.12154 [ 61.72 %]\n", + "Output : 0.00169102 [ 0.05 %]\n", + "Levels : 0.000315491 [ 0.01 %]\n", + "Report : 8.66e-07 [ 0.00 %]\n", + "Balance : 3.04e-07 [ 0.00 %]\n", + "Adjust : 0.776516 [ 22.59 %]\n", + "Total : 3.43734 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6561 471 98 8 4 \n", + "1 : 6608 421 106 6 1 \n", + "2 : 6527 491 113 8 3 \n", + "3 : 6569 442 121 6 4 \n", + "4 : 6584 452 97 5 4 \n", + "5 : 6622 399 114 5 2 \n", + "6 : 6581 433 120 6 2 \n", + "7 : 6551 461 114 11 5 \n", + "8 : 6604 418 104 11 5 \n", + "9 : 6574 442 107 11 8 \n", + "10 : 6525 491 110 13 3 \n", + "11 : 6576 449 107 7 3 \n", + "12 : 6606 418 99 18 1 \n", + "13 : 6589 460 90 9 6 \n", + "\n", + "T : 92077 6248 1500 124 51 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 24.4%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 6.5813e-02 sec\n", + "--- Collate = 4.0473e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.591835e-05 < 6.250000e-03 [32]\n", + "--- Max DT=3.025487e-01 > 1.000000e-01 [70859]\n", + "----------------------------------------------------------------------\n", + " Component | low: 32/100000\n", + " Component | high: 70859/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=16.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00118176 [ 0.02 %]\n", + "Velocity : 0.00312828 [ 0.06 %]\n", + "Force : 0.759109 [ 15.77 %]\n", + "Coefs : 2.97343 [ 61.77 %]\n", + "Output : 0.0015001 [ 0.03 %]\n", + "Levels : 0.000346394 [ 0.01 %]\n", + "Report : 1.014e-06 [ 0.00 %]\n", + "Balance : 3.91e-07 [ 0.00 %]\n", + "Adjust : 1.07468 [ 22.33 %]\n", + "Total : 4.81344 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6561 473 98 6 4 \n", + "1 : 6606 423 105 7 1 \n", + "2 : 6528 488 114 9 3 \n", + "3 : 6568 442 121 6 5 \n", + "4 : 6583 454 95 6 4 \n", + "5 : 6618 405 111 6 2 \n", + "6 : 6579 439 117 5 2 \n", + "7 : 6550 461 116 10 5 \n", + "8 : 6599 424 103 11 5 \n", + "9 : 6580 434 109 11 8 \n", + "10 : 6522 495 109 13 3 \n", + "11 : 6576 449 107 8 2 \n", + "12 : 6608 414 102 16 2 \n", + "13 : 6590 456 94 7 7 \n", + "\n", + "T : 92068 6257 1501 121 53 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 5.5220e-02 sec\n", + "--- Collate = 7.3421e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.196080e-05 < 6.250000e-03 [28]\n", + "--- Max DT=3.025739e-01 > 1.000000e-01 [70863]\n", + "----------------------------------------------------------------------\n", + " Component | low: 28/100000\n", + " Component | high: 70863/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=16.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00139343 [ 0.03 %]\n", + "Velocity : 0.00235385 [ 0.05 %]\n", + "Force : 0.7693 [ 16.55 %]\n", + "Coefs : 2.94683 [ 63.38 %]\n", + "Output : 0.00166169 [ 0.04 %]\n", + "Levels : 0.000410497 [ 0.01 %]\n", + "Report : 1.209e-06 [ 0.00 %]\n", + "Balance : 3.79e-07 [ 0.00 %]\n", + "Adjust : 0.927081 [ 19.94 %]\n", + "Total : 4.64909 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6558 476 98 6 4 \n", + "1 : 6600 423 110 8 1 \n", + "2 : 6527 489 114 10 2 \n", + "3 : 6566 441 124 5 6 \n", + "4 : 6586 451 95 6 4 \n", + "5 : 6618 403 115 4 2 \n", + "6 : 6578 439 118 3 4 \n", + "7 : 6552 455 117 14 4 \n", + "8 : 6599 424 104 10 5 \n", + "9 : 6579 431 113 10 9 \n", + "10 : 6521 496 110 12 3 \n", + "11 : 6576 447 109 8 2 \n", + "12 : 6604 421 98 17 2 \n", + "13 : 6589 457 93 9 6 \n", + "\n", + "T : 92053 6253 1518 122 54 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.2%\n", + "--- Update = 6.5103e-02 sec\n", + "--- Collate = 1.5036e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.262287e-04 < 6.250000e-03 [28]\n", + "--- Max DT=3.025985e-01 > 1.000000e-01 [70866]\n", + "----------------------------------------------------------------------\n", + " Component | low: 28/100000\n", + " Component | high: 70866/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=16.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00068087 [ 0.01 %]\n", + "Velocity : 0.00235813 [ 0.05 %]\n", + "Force : 0.822247 [ 17.05 %]\n", + "Coefs : 3.00731 [ 62.37 %]\n", + "Output : 0.00161399 [ 0.03 %]\n", + "Levels : 0.000420378 [ 0.01 %]\n", + "Report : 1.306e-06 [ 0.00 %]\n", + "Balance : 4.17e-07 [ 0.00 %]\n", + "Adjust : 0.986693 [ 20.46 %]\n", + "Total : 4.82139 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6563 470 99 4 6 \n", + "1 : 6599 422 112 8 1 \n", + "2 : 6524 493 113 9 3 \n", + "3 : 6566 442 124 5 5 \n", + "4 : 6584 450 98 5 5 \n", + "5 : 6616 405 114 7 0 \n", + "6 : 6574 442 119 2 5 \n", + "7 : 6548 460 118 11 5 \n", + "8 : 6596 426 105 9 6 \n", + "9 : 6580 432 111 8 11 \n", + "10 : 6522 493 111 12 4 \n", + "11 : 6577 443 112 10 0 \n", + "12 : 6605 419 99 16 3 \n", + "13 : 6589 453 96 9 7 \n", + "\n", + "T : 92043 6250 1531 115 61 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 6.5078e-02 sec\n", + "--- Collate = 4.0512e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.576076e-04 < 6.250000e-03 [26]\n", + "--- Max DT=3.026228e-01 > 1.000000e-01 [70871]\n", + "----------------------------------------------------------------------\n", + " Component | low: 26/100000\n", + " Component | high: 70871/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=16.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000526674 [ 0.01 %]\n", + "Velocity : 0.00228937 [ 0.06 %]\n", + "Force : 0.59939 [ 16.00 %]\n", + "Coefs : 2.29254 [ 61.20 %]\n", + "Output : 0.00146413 [ 0.04 %]\n", + "Levels : 0.000755144 [ 0.02 %]\n", + "Report : 1.329e-06 [ 0.00 %]\n", + "Balance : 4.88e-07 [ 0.00 %]\n", + "Adjust : 0.848668 [ 22.66 %]\n", + "Total : 3.74569 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6562 469 100 7 4 \n", + "1 : 6597 423 112 10 0 \n", + "2 : 6525 493 112 9 3 \n", + "3 : 6565 442 125 5 5 \n", + "4 : 6580 456 96 5 5 \n", + "5 : 6611 410 114 7 0 \n", + "6 : 6572 443 121 1 5 \n", + "7 : 6548 460 117 11 6 \n", + "8 : 6597 421 108 11 5 \n", + "9 : 6577 432 115 5 13 \n", + "10 : 6522 488 118 10 4 \n", + "11 : 6574 445 115 5 3 \n", + "12 : 6606 417 101 12 6 \n", + "13 : 6591 455 92 11 5 \n", + "\n", + "T : 92027 6254 1546 109 64 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 25.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 9.1992e-02 sec\n", + "--- Collate = 1.4030e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.397842e-05 < 6.250000e-03 [27]\n", + "--- Max DT=3.026465e-01 > 1.000000e-01 [70863]\n", + "----------------------------------------------------------------------\n", + " Component | low: 27/100000\n", + " Component | high: 70863/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=16.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00159417 [ 0.05 %]\n", + "Velocity : 0.00305998 [ 0.09 %]\n", + "Force : 0.663858 [ 19.01 %]\n", + "Coefs : 1.96077 [ 56.14 %]\n", + "Output : 0.00166591 [ 0.05 %]\n", + "Levels : 0.000354776 [ 0.01 %]\n", + "Report : 1.266e-06 [ 0.00 %]\n", + "Balance : 3.87e-07 [ 0.00 %]\n", + "Adjust : 0.861225 [ 24.66 %]\n", + "Total : 3.4926 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6563 464 104 7 4 \n", + "1 : 6592 431 108 11 0 \n", + "2 : 6522 495 112 9 4 \n", + "3 : 6563 443 125 5 6 \n", + "4 : 6579 456 97 6 4 \n", + "5 : 6616 405 114 6 1 \n", + "6 : 6576 442 117 3 4 \n", + "7 : 6545 465 117 8 7 \n", + "8 : 6592 424 111 10 5 \n", + "9 : 6579 428 117 5 13 \n", + "10 : 6521 489 117 12 3 \n", + "11 : 6571 449 113 6 3 \n", + "12 : 6608 412 106 9 7 \n", + "13 : 6586 460 93 9 6 \n", + "\n", + "T : 92013 6263 1551 106 67 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 5.5432e-02 sec\n", + "--- Collate = 5.0621e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.352608e-04 < 6.250000e-03 [31]\n", + "--- Max DT=3.026703e-01 > 1.000000e-01 [70868]\n", + "----------------------------------------------------------------------\n", + " Component | low: 31/100000\n", + " Component | high: 70868/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=16.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0026205 [ 0.06 %]\n", + "Velocity : 0.00269439 [ 0.06 %]\n", + "Force : 0.798278 [ 17.18 %]\n", + "Coefs : 2.89302 [ 62.26 %]\n", + "Output : 0.0013457 [ 0.03 %]\n", + "Levels : 0.000274753 [ 0.01 %]\n", + "Report : 9.01e-07 [ 0.00 %]\n", + "Balance : 3e-07 [ 0.00 %]\n", + "Adjust : 0.948638 [ 20.41 %]\n", + "Total : 4.64693 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6565 465 100 8 4 \n", + "1 : 6592 432 108 8 2 \n", + "2 : 6518 495 116 10 3 \n", + "3 : 6564 440 129 6 3 \n", + "4 : 6576 459 98 6 3 \n", + "5 : 6615 400 122 3 2 \n", + "6 : 6576 442 116 4 4 \n", + "7 : 6537 473 116 8 8 \n", + "8 : 6588 425 113 11 5 \n", + "9 : 6577 430 116 6 13 \n", + "10 : 6519 489 119 13 2 \n", + "11 : 6570 449 116 4 3 \n", + "12 : 6607 407 112 9 7 \n", + "13 : 6587 460 91 11 5 \n", + "\n", + "T : 91991 6266 1572 107 64 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.7488e-02 sec\n", + "--- Collate = 3.0276e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.518825e-05 < 6.250000e-03 [41]\n", + "--- Max DT=3.026928e-01 > 1.000000e-01 [70859]\n", + "----------------------------------------------------------------------\n", + " Component | low: 41/100000\n", + " Component | high: 70859/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=16.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000470167 [ 0.01 %]\n", + "Velocity : 0.00161763 [ 0.03 %]\n", + "Force : 0.769386 [ 16.44 %]\n", + "Coefs : 2.8397 [ 60.67 %]\n", + "Output : 0.00137499 [ 0.03 %]\n", + "Levels : 0.000340251 [ 0.01 %]\n", + "Report : 1.32e-06 [ 0.00 %]\n", + "Balance : 5.05e-07 [ 0.00 %]\n", + "Adjust : 1.06771 [ 22.81 %]\n", + "Total : 4.68065 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6562 468 98 10 4 \n", + "1 : 6592 434 106 8 2 \n", + "2 : 6519 487 123 10 3 \n", + "3 : 6560 444 131 4 3 \n", + "4 : 6576 456 101 5 4 \n", + "5 : 6615 398 124 2 3 \n", + "6 : 6579 438 117 3 5 \n", + "7 : 6536 474 116 8 8 \n", + "8 : 6583 430 112 12 5 \n", + "9 : 6579 426 118 8 11 \n", + "10 : 6515 494 117 15 1 \n", + "11 : 6571 444 121 3 3 \n", + "12 : 6609 403 113 10 7 \n", + "13 : 6585 460 94 10 5 \n", + "\n", + "T : 91981 6256 1591 108 64 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 5.1291e-02 sec\n", + "--- Collate = 3.4685e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.006483e-06 < 6.250000e-03 [41]\n", + "--- Max DT=3.027133e-01 > 1.000000e-01 [70848]\n", + "----------------------------------------------------------------------\n", + " Component | low: 41/100000\n", + " Component | high: 70848/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=17] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00498879 [ 0.15 %]\n", + "Velocity : 0.00222056 [ 0.06 %]\n", + "Force : 0.631052 [ 18.36 %]\n", + "Coefs : 2.13932 [ 62.24 %]\n", + "Output : 0.0115329 [ 0.34 %]\n", + "Levels : 0.000262955 [ 0.01 %]\n", + "Report : 1.11e-06 [ 0.00 %]\n", + "Balance : 5.88e-07 [ 0.00 %]\n", + "Adjust : 0.647966 [ 18.85 %]\n", + "Total : 3.4374 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6563 466 99 9 5 \n", + "1 : 6588 441 104 6 3 \n", + "2 : 6517 489 126 7 3 \n", + "3 : 6560 445 128 5 4 \n", + "4 : 6575 456 102 6 3 \n", + "5 : 6616 394 125 4 3 \n", + "6 : 6573 443 117 5 4 \n", + "7 : 6536 472 118 6 10 \n", + "8 : 6588 424 112 14 4 \n", + "9 : 6580 431 112 7 12 \n", + "10 : 6512 500 113 16 1 \n", + "11 : 6577 437 121 3 4 \n", + "12 : 6608 405 113 9 7 \n", + "13 : 6578 466 95 10 5 \n", + "\n", + "T : 91971 6269 1585 107 68 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.7514e-02 sec\n", + "--- Collate = 8.0188e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.070394e-06 < 6.250000e-03 [41]\n", + "--- Max DT=3.027344e-01 > 1.000000e-01 [70852]\n", + "----------------------------------------------------------------------\n", + " Component | low: 41/100000\n", + " Component | high: 70852/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=17.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000882297 [ 0.02 %]\n", + "Velocity : 0.0021219 [ 0.04 %]\n", + "Force : 0.78906 [ 16.27 %]\n", + "Coefs : 3.07315 [ 63.38 %]\n", + "Output : 0.0013813 [ 0.03 %]\n", + "Levels : 0.000319054 [ 0.01 %]\n", + "Report : 1.261e-06 [ 0.00 %]\n", + "Balance : 3.8e-07 [ 0.00 %]\n", + "Adjust : 0.981719 [ 20.25 %]\n", + "Total : 4.84871 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6559 469 100 8 6 \n", + "1 : 6589 437 108 4 4 \n", + "2 : 6514 494 124 6 4 \n", + "3 : 6559 447 125 6 5 \n", + "4 : 6576 455 102 5 4 \n", + "5 : 6615 394 126 4 3 \n", + "6 : 6570 442 120 5 5 \n", + "7 : 6529 480 117 8 8 \n", + "8 : 6590 417 117 14 4 \n", + "9 : 6578 430 114 9 11 \n", + "10 : 6510 502 114 13 3 \n", + "11 : 6575 440 120 3 4 \n", + "12 : 6611 402 112 8 9 \n", + "13 : 6575 469 96 8 6 \n", + "\n", + "T : 91950 6278 1595 101 76 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 5.9326e-02 sec\n", + "--- Collate = 3.5093e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.064369e-06 < 6.250000e-03 [51]\n", + "--- Max DT=3.027543e-01 > 1.000000e-01 [70839]\n", + "----------------------------------------------------------------------\n", + " Component | low: 51/100000\n", + " Component | high: 70839/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=17.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000837967 [ 0.02 %]\n", + "Velocity : 0.0030903 [ 0.08 %]\n", + "Force : 0.716096 [ 18.27 %]\n", + "Coefs : 2.36024 [ 60.20 %]\n", + "Output : 0.00155994 [ 0.04 %]\n", + "Levels : 0.000332195 [ 0.01 %]\n", + "Report : 5.87e-07 [ 0.00 %]\n", + "Balance : 2.97e-07 [ 0.00 %]\n", + "Adjust : 0.838225 [ 21.38 %]\n", + "Total : 3.92044 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6558 472 98 7 7 \n", + "1 : 6587 436 112 3 4 \n", + "2 : 6514 496 123 5 4 \n", + "3 : 6567 439 124 8 4 \n", + "4 : 6577 453 104 4 4 \n", + "5 : 6617 393 124 4 4 \n", + "6 : 6572 437 124 4 5 \n", + "7 : 6531 479 115 8 9 \n", + "8 : 6586 420 119 12 5 \n", + "9 : 6577 427 117 11 10 \n", + "10 : 6512 499 115 12 4 \n", + "11 : 6572 440 122 3 5 \n", + "12 : 6607 400 118 8 9 \n", + "13 : 6572 474 95 9 4 \n", + "\n", + "T : 91949 6265 1610 98 78 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 4.3439e-02 sec\n", + "--- Collate = 2.5951e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.102376e-05 < 6.250000e-03 [46]\n", + "--- Max DT=3.027731e-01 > 1.000000e-01 [70856]\n", + "----------------------------------------------------------------------\n", + " Component | low: 46/100000\n", + " Component | high: 70856/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=17.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000783482 [ 0.02 %]\n", + "Velocity : 0.0020669 [ 0.06 %]\n", + "Force : 0.587803 [ 17.71 %]\n", + "Coefs : 2.08274 [ 62.75 %]\n", + "Output : 0.00167401 [ 0.05 %]\n", + "Levels : 0.000364383 [ 0.01 %]\n", + "Report : 5.58e-07 [ 0.00 %]\n", + "Balance : 3.43e-07 [ 0.00 %]\n", + "Adjust : 0.643563 [ 19.39 %]\n", + "Total : 3.31906 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6555 474 99 7 7 \n", + "1 : 6586 435 115 4 2 \n", + "2 : 6518 492 123 5 4 \n", + "3 : 6568 438 123 9 4 \n", + "4 : 6579 447 109 4 3 \n", + "5 : 6616 395 123 4 4 \n", + "6 : 6571 438 125 3 5 \n", + "7 : 6529 482 113 7 11 \n", + "8 : 6587 416 123 12 4 \n", + "9 : 6576 425 120 11 10 \n", + "10 : 6516 496 114 12 4 \n", + "11 : 6571 441 122 3 5 \n", + "12 : 6605 398 122 7 10 \n", + "13 : 6570 474 98 7 5 \n", + "\n", + "T : 91947 6251 1629 95 78 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 32.5%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 5.0946e-02 sec\n", + "--- Collate = 7.0339e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.085239e-05 < 6.250000e-03 [44]\n", + "--- Max DT=3.027923e-01 > 1.000000e-01 [70836]\n", + "----------------------------------------------------------------------\n", + " Component | low: 44/100000\n", + " Component | high: 70836/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=17.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000575023 [ 0.01 %]\n", + "Velocity : 0.00222117 [ 0.05 %]\n", + "Force : 0.618669 [ 14.45 %]\n", + "Coefs : 2.72536 [ 63.66 %]\n", + "Output : 0.00198745 [ 0.05 %]\n", + "Levels : 0.000246986 [ 0.01 %]\n", + "Report : 7.55e-07 [ 0.00 %]\n", + "Balance : 2.81e-07 [ 0.00 %]\n", + "Adjust : 0.932108 [ 21.77 %]\n", + "Total : 4.28123 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6553 477 97 9 6 \n", + "1 : 6582 440 115 2 3 \n", + "2 : 6516 494 122 6 4 \n", + "3 : 6568 436 125 7 6 \n", + "4 : 6580 446 109 3 4 \n", + "5 : 6611 401 118 8 4 \n", + "6 : 6571 439 124 5 3 \n", + "7 : 6529 481 115 8 9 \n", + "8 : 6587 414 123 14 4 \n", + "9 : 6573 428 119 12 10 \n", + "10 : 6519 489 117 13 4 \n", + "11 : 6573 440 121 4 4 \n", + "12 : 6604 401 120 8 9 \n", + "13 : 6564 475 103 7 5 \n", + "\n", + "T : 91930 6261 1628 106 75 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 5.0952e-02 sec\n", + "--- Collate = 1.5027e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.630666e-05 < 6.250000e-03 [41]\n", + "--- Max DT=3.028110e-01 > 1.000000e-01 [70848]\n", + "----------------------------------------------------------------------\n", + " Component | low: 41/100000\n", + " Component | high: 70848/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=17.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00107617 [ 0.02 %]\n", + "Velocity : 0.0106072 [ 0.24 %]\n", + "Force : 0.718783 [ 16.10 %]\n", + "Coefs : 2.7273 [ 61.07 %]\n", + "Output : 0.00120668 [ 0.03 %]\n", + "Levels : 0.000306684 [ 0.01 %]\n", + "Report : 7.05e-07 [ 0.00 %]\n", + "Balance : 2.54e-07 [ 0.00 %]\n", + "Adjust : 1.00628 [ 22.53 %]\n", + "Total : 4.46561 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6551 478 100 7 6 \n", + "1 : 6586 436 115 1 4 \n", + "2 : 6517 492 123 6 4 \n", + "3 : 6568 439 124 6 5 \n", + "4 : 6581 445 109 3 4 \n", + "5 : 6614 400 116 8 4 \n", + "6 : 6566 443 125 6 2 \n", + "7 : 6524 487 118 6 7 \n", + "8 : 6587 415 122 14 4 \n", + "9 : 6577 426 117 14 8 \n", + "10 : 6515 491 119 14 3 \n", + "11 : 6572 444 117 3 6 \n", + "12 : 6602 402 122 7 9 \n", + "13 : 6562 476 105 6 5 \n", + "\n", + "T : 91922 6274 1632 101 71 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.5412e-02 sec\n", + "--- Collate = 1.3010e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.165567e-04 < 6.250000e-03 [41]\n", + "--- Max DT=3.028277e-01 > 1.000000e-01 [70848]\n", + "----------------------------------------------------------------------\n", + " Component | low: 41/100000\n", + " Component | high: 70848/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=17.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000651081 [ 0.01 %]\n", + "Velocity : 0.00228304 [ 0.05 %]\n", + "Force : 0.697591 [ 15.43 %]\n", + "Coefs : 2.85075 [ 63.07 %]\n", + "Output : 0.00122551 [ 0.03 %]\n", + "Levels : 0.000324165 [ 0.01 %]\n", + "Report : 7.9e-07 [ 0.00 %]\n", + "Balance : 3.53e-07 [ 0.00 %]\n", + "Adjust : 0.967363 [ 21.40 %]\n", + "Total : 4.52024 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6548 477 103 9 5 \n", + "1 : 6590 431 114 3 4 \n", + "2 : 6518 489 126 6 3 \n", + "3 : 6573 437 121 6 5 \n", + "4 : 6577 448 109 5 3 \n", + "5 : 6609 405 116 9 3 \n", + "6 : 6566 443 125 6 2 \n", + "7 : 6520 489 119 6 8 \n", + "8 : 6590 414 120 14 4 \n", + "9 : 6578 424 119 14 7 \n", + "10 : 6522 484 118 14 4 \n", + "11 : 6572 442 118 4 6 \n", + "12 : 6605 399 121 8 9 \n", + "13 : 6560 477 106 6 5 \n", + "\n", + "T : 91928 6259 1635 110 68 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.4432e-02 sec\n", + "--- Collate = 1.0028e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.123475e-05 < 6.250000e-03 [39]\n", + "--- Max DT=3.028450e-01 > 1.000000e-01 [70837]\n", + "----------------------------------------------------------------------\n", + " Component | low: 39/100000\n", + " Component | high: 70837/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=17.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000566513 [ 0.01 %]\n", + "Velocity : 0.00170479 [ 0.04 %]\n", + "Force : 0.693912 [ 15.64 %]\n", + "Coefs : 2.76875 [ 62.42 %]\n", + "Output : 0.00122376 [ 0.03 %]\n", + "Levels : 0.000325919 [ 0.01 %]\n", + "Report : 9.47e-07 [ 0.00 %]\n", + "Balance : 4.54e-07 [ 0.00 %]\n", + "Adjust : 0.968849 [ 21.84 %]\n", + "Total : 4.43538 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6550 474 105 9 4 \n", + "1 : 6586 434 114 2 6 \n", + "2 : 6515 492 124 7 4 \n", + "3 : 6573 438 120 4 7 \n", + "4 : 6578 443 112 6 3 \n", + "5 : 6606 411 114 7 4 \n", + "6 : 6567 443 123 7 2 \n", + "7 : 6518 489 121 5 9 \n", + "8 : 6589 416 122 11 4 \n", + "9 : 6574 430 117 11 10 \n", + "10 : 6519 488 117 12 6 \n", + "11 : 6576 437 118 6 5 \n", + "12 : 6600 408 118 8 8 \n", + "13 : 6559 478 105 8 4 \n", + "\n", + "T : 91910 6281 1630 103 76 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.6399e-02 sec\n", + "--- Collate = 1.2037e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.519952e-04 < 6.250000e-03 [36]\n", + "--- Max DT=3.028757e-01 > 1.000000e-01 [70828]\n", + "----------------------------------------------------------------------\n", + " Component | low: 36/100000\n", + " Component | high: 70828/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=17.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000452478 [ 0.01 %]\n", + "Velocity : 0.00177551 [ 0.04 %]\n", + "Force : 0.720237 [ 15.35 %]\n", + "Coefs : 2.97009 [ 63.31 %]\n", + "Output : 0.00145693 [ 0.03 %]\n", + "Levels : 0.000262888 [ 0.01 %]\n", + "Report : 1.016e-06 [ 0.00 %]\n", + "Balance : 4.03e-07 [ 0.00 %]\n", + "Adjust : 0.997003 [ 21.25 %]\n", + "Total : 4.69133 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6551 471 108 9 3 \n", + "1 : 6584 435 114 4 5 \n", + "2 : 6513 495 123 7 4 \n", + "3 : 6571 441 120 5 5 \n", + "4 : 6578 445 110 6 3 \n", + "5 : 6608 412 111 5 6 \n", + "6 : 6568 443 122 5 4 \n", + "7 : 6520 488 119 7 8 \n", + "8 : 6587 414 126 12 3 \n", + "9 : 6574 431 116 11 10 \n", + "10 : 6518 489 116 13 6 \n", + "11 : 6577 436 117 7 5 \n", + "12 : 6601 407 117 9 8 \n", + "13 : 6558 474 109 10 3 \n", + "\n", + "T : 91908 6281 1628 110 73 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 5.8544e-02 sec\n", + "--- Collate = 1.1903e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.961917e-05 < 6.250000e-03 [41]\n", + "--- Max DT=3.029175e-01 > 1.000000e-01 [70841]\n", + "----------------------------------------------------------------------\n", + " Component | low: 41/100000\n", + " Component | high: 70841/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=17.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000666066 [ 0.02 %]\n", + "Velocity : 0.00222722 [ 0.06 %]\n", + "Force : 0.670886 [ 17.35 %]\n", + "Coefs : 2.40275 [ 62.14 %]\n", + "Output : 0.00178902 [ 0.05 %]\n", + "Levels : 0.00857188 [ 0.22 %]\n", + "Report : 1.187e-06 [ 0.00 %]\n", + "Balance : 3.99e-07 [ 0.00 %]\n", + "Adjust : 0.779686 [ 20.16 %]\n", + "Total : 3.86664 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6556 469 105 9 3 \n", + "1 : 6583 437 112 5 5 \n", + "2 : 6516 490 124 8 4 \n", + "3 : 6570 441 119 7 5 \n", + "4 : 6582 439 110 7 4 \n", + "5 : 6609 412 110 5 6 \n", + "6 : 6564 448 123 3 4 \n", + "7 : 6518 488 118 9 9 \n", + "8 : 6587 412 129 11 3 \n", + "9 : 6572 431 118 10 11 \n", + "10 : 6519 488 117 12 6 \n", + "11 : 6579 433 117 6 7 \n", + "12 : 6602 406 117 10 7 \n", + "13 : 6556 479 106 8 5 \n", + "\n", + "T : 91913 6273 1625 110 79 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.0599e-01 sec\n", + "--- Collate = 1.0049e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.225411e-05 < 6.250000e-03 [41]\n", + "--- Max DT=3.029592e-01 > 1.000000e-01 [70836]\n", + "----------------------------------------------------------------------\n", + " Component | low: 41/100000\n", + " Component | high: 70836/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=18] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000941373 [ 0.02 %]\n", + "Velocity : 0.00534692 [ 0.09 %]\n", + "Force : 0.950617 [ 15.77 %]\n", + "Coefs : 3.70179 [ 61.42 %]\n", + "Output : 0.0138463 [ 0.23 %]\n", + "Levels : 0.000605862 [ 0.01 %]\n", + "Report : 1.218e-06 [ 0.00 %]\n", + "Balance : 5.95e-07 [ 0.00 %]\n", + "Adjust : 1.35426 [ 22.47 %]\n", + "Total : 6.02747 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6560 460 111 8 3 \n", + "1 : 6581 440 111 5 5 \n", + "2 : 6523 484 123 7 5 \n", + "3 : 6565 446 115 12 4 \n", + "4 : 6584 440 106 6 6 \n", + "5 : 6610 410 111 5 6 \n", + "6 : 6571 441 123 3 4 \n", + "7 : 6516 491 117 10 8 \n", + "8 : 6586 412 129 12 3 \n", + "9 : 6576 425 120 11 10 \n", + "10 : 6522 483 120 14 3 \n", + "11 : 6578 433 118 7 6 \n", + "12 : 6602 402 120 12 6 \n", + "13 : 6553 479 110 8 4 \n", + "\n", + "T : 91927 6246 1634 120 73 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 25.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 5.4129e-02 sec\n", + "--- Collate = 8.0758e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.589705e-06 < 6.250000e-03 [39]\n", + "--- Max DT=3.029990e-01 > 1.000000e-01 [70830]\n", + "----------------------------------------------------------------------\n", + " Component | low: 39/100000\n", + " Component | high: 70830/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=18.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00148761 [ 0.03 %]\n", + "Velocity : 0.00257542 [ 0.06 %]\n", + "Force : 0.782287 [ 18.29 %]\n", + "Coefs : 2.63575 [ 61.63 %]\n", + "Output : 0.00153681 [ 0.04 %]\n", + "Levels : 0.00030747 [ 0.01 %]\n", + "Report : 4.95e-07 [ 0.00 %]\n", + "Balance : 3.81e-07 [ 0.00 %]\n", + "Adjust : 0.852418 [ 19.93 %]\n", + "Total : 4.27642 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6560 460 112 8 2 \n", + "1 : 6582 439 111 3 7 \n", + "2 : 6525 481 123 8 5 \n", + "3 : 6569 442 114 13 4 \n", + "4 : 6589 434 105 7 7 \n", + "5 : 6607 412 111 7 5 \n", + "6 : 6576 436 123 3 4 \n", + "7 : 6521 486 117 11 7 \n", + "8 : 6588 411 128 12 3 \n", + "9 : 6582 416 122 13 9 \n", + "10 : 6523 484 116 15 4 \n", + "11 : 6576 435 117 8 6 \n", + "12 : 6599 407 118 10 8 \n", + "13 : 6556 472 114 8 4 \n", + "\n", + "T : 91953 6215 1631 126 75 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.2%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 1.5771e-01 sec\n", + "--- Collate = 2.9023e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.401416e-05 < 6.250000e-03 [45]\n", + "--- Max DT=3.030380e-01 > 1.000000e-01 [70825]\n", + "----------------------------------------------------------------------\n", + " Component | low: 45/100000\n", + " Component | high: 70825/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=18.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00103079 [ 0.03 %]\n", + "Velocity : 0.00298614 [ 0.08 %]\n", + "Force : 0.600693 [ 15.69 %]\n", + "Coefs : 2.2614 [ 59.06 %]\n", + "Output : 0.00153286 [ 0.04 %]\n", + "Levels : 0.000867064 [ 0.02 %]\n", + "Report : 9.35e-07 [ 0.00 %]\n", + "Balance : 3.78e-07 [ 0.00 %]\n", + "Adjust : 0.960542 [ 25.09 %]\n", + "Total : 3.82911 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6564 452 116 7 3 \n", + "1 : 6583 437 112 4 6 \n", + "2 : 6526 477 125 10 4 \n", + "3 : 6570 442 114 12 4 \n", + "4 : 6590 437 102 6 7 \n", + "5 : 6610 408 112 7 5 \n", + "6 : 6579 435 120 5 3 \n", + "7 : 6521 485 117 12 7 \n", + "8 : 6589 415 124 11 3 \n", + "9 : 6580 419 123 11 9 \n", + "10 : 6518 488 119 12 5 \n", + "11 : 6578 435 116 6 7 \n", + "12 : 6599 405 121 9 8 \n", + "13 : 6554 479 110 8 3 \n", + "\n", + "T : 91961 6214 1631 120 74 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 5.5181e-02 sec\n", + "--- Collate = 6.0175e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.867924e-05 < 6.250000e-03 [39]\n", + "--- Max DT=3.030784e-01 > 1.000000e-01 [70832]\n", + "----------------------------------------------------------------------\n", + " Component | low: 39/100000\n", + " Component | high: 70832/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=18.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00098276 [ 0.03 %]\n", + "Velocity : 0.0026474 [ 0.08 %]\n", + "Force : 0.562836 [ 16.17 %]\n", + "Coefs : 2.19553 [ 63.07 %]\n", + "Output : 0.00150711 [ 0.04 %]\n", + "Levels : 0.00025641 [ 0.01 %]\n", + "Report : 6.33e-07 [ 0.00 %]\n", + "Balance : 3.9e-07 [ 0.00 %]\n", + "Adjust : 0.717007 [ 20.60 %]\n", + "Total : 3.48082 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6564 454 115 4 5 \n", + "1 : 6585 433 115 4 5 \n", + "2 : 6528 476 122 11 5 \n", + "3 : 6567 444 116 10 5 \n", + "4 : 6591 436 103 5 7 \n", + "5 : 6608 408 113 8 5 \n", + "6 : 6580 429 124 6 3 \n", + "7 : 6524 480 119 13 6 \n", + "8 : 6588 416 122 12 4 \n", + "9 : 6584 417 121 9 11 \n", + "10 : 6521 488 114 12 7 \n", + "11 : 6573 438 117 7 7 \n", + "12 : 6595 408 122 8 9 \n", + "13 : 6546 483 114 7 4 \n", + "\n", + "T : 91954 6210 1637 116 83 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 6.6362e-02 sec\n", + "--- Collate = 7.0158e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.949220e-05 < 6.250000e-03 [37]\n", + "--- Max DT=3.031168e-01 > 1.000000e-01 [70824]\n", + "----------------------------------------------------------------------\n", + " Component | low: 37/100000\n", + " Component | high: 70824/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=18.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000586036 [ 0.01 %]\n", + "Velocity : 0.00209522 [ 0.05 %]\n", + "Force : 0.804792 [ 18.06 %]\n", + "Coefs : 2.7722 [ 62.20 %]\n", + "Output : 0.00157587 [ 0.04 %]\n", + "Levels : 0.00904262 [ 0.20 %]\n", + "Report : 1.065e-06 [ 0.00 %]\n", + "Balance : 4.96e-07 [ 0.00 %]\n", + "Adjust : 0.866697 [ 19.45 %]\n", + "Total : 4.45705 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6569 449 114 4 6 \n", + "1 : 6591 428 112 7 4 \n", + "2 : 6528 477 121 9 7 \n", + "3 : 6570 438 120 9 5 \n", + "4 : 6587 437 106 5 7 \n", + "5 : 6608 409 112 7 6 \n", + "6 : 6581 426 126 6 3 \n", + "7 : 6528 471 124 13 6 \n", + "8 : 6586 420 118 13 5 \n", + "9 : 6580 421 120 13 8 \n", + "10 : 6518 492 115 10 7 \n", + "11 : 6576 433 119 9 5 \n", + "12 : 6592 409 122 11 8 \n", + "13 : 6551 476 116 7 4 \n", + "\n", + "T : 91965 6186 1645 123 81 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 5.8970e-02 sec\n", + "--- Collate = 1.6043e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.811529e-05 < 6.250000e-03 [37]\n", + "--- Max DT=3.031555e-01 > 1.000000e-01 [70806]\n", + "----------------------------------------------------------------------\n", + " Component | low: 37/100000\n", + " Component | high: 70806/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=18.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000740194 [ 0.02 %]\n", + "Velocity : 0.00215357 [ 0.05 %]\n", + "Force : 0.784015 [ 17.53 %]\n", + "Coefs : 2.68627 [ 60.07 %]\n", + "Output : 0.00143422 [ 0.03 %]\n", + "Levels : 0.000282778 [ 0.01 %]\n", + "Report : 1.203e-06 [ 0.00 %]\n", + "Balance : 6.46e-07 [ 0.00 %]\n", + "Adjust : 0.996897 [ 22.29 %]\n", + "Total : 4.47185 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6567 447 118 4 6 \n", + "1 : 6591 425 114 8 4 \n", + "2 : 6534 469 124 8 7 \n", + "3 : 6570 436 124 6 6 \n", + "4 : 6590 431 110 5 6 \n", + "5 : 6608 410 111 8 5 \n", + "6 : 6582 425 125 7 3 \n", + "7 : 6526 477 119 12 8 \n", + "8 : 6585 420 118 13 6 \n", + "9 : 6584 419 120 13 6 \n", + "10 : 6520 485 120 12 5 \n", + "11 : 6572 437 119 9 5 \n", + "12 : 6598 405 121 10 8 \n", + "13 : 6551 476 116 7 4 \n", + "\n", + "T : 91978 6162 1659 122 79 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 6.0106e-02 sec\n", + "--- Collate = 1.2071e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.730905e-04 < 6.250000e-03 [43]\n", + "--- Max DT=3.031942e-01 > 1.000000e-01 [70785]\n", + "----------------------------------------------------------------------\n", + " Component | low: 43/100000\n", + " Component | high: 70785/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=18.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000752826 [ 0.02 %]\n", + "Velocity : 0.00215063 [ 0.06 %]\n", + "Force : 0.564765 [ 15.48 %]\n", + "Coefs : 2.29636 [ 62.95 %]\n", + "Output : 0.00135618 [ 0.04 %]\n", + "Levels : 0.000350611 [ 0.01 %]\n", + "Report : 8.43e-07 [ 0.00 %]\n", + "Balance : 3.2e-07 [ 0.00 %]\n", + "Adjust : 0.781846 [ 21.43 %]\n", + "Total : 3.64763 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6567 446 118 5 6 \n", + "1 : 6593 423 116 5 5 \n", + "2 : 6535 464 128 8 7 \n", + "3 : 6566 442 119 10 5 \n", + "4 : 6588 436 108 4 6 \n", + "5 : 6610 410 109 9 4 \n", + "6 : 6581 423 127 7 4 \n", + "7 : 6519 481 123 12 7 \n", + "8 : 6584 423 116 14 5 \n", + "9 : 6582 419 121 13 7 \n", + "10 : 6520 484 121 11 6 \n", + "11 : 6568 438 122 7 7 \n", + "12 : 6600 405 119 10 8 \n", + "13 : 6552 477 112 9 4 \n", + "\n", + "T : 91965 6171 1659 124 81 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 6.3890e-02 sec\n", + "--- Collate = 8.3104e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.517220e-05 < 6.250000e-03 [50]\n", + "--- Max DT=3.032325e-01 > 1.000000e-01 [70753]\n", + "----------------------------------------------------------------------\n", + " Component | low: 50/100000\n", + " Component | high: 70753/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=18.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000748082 [ 0.02 %]\n", + "Velocity : 0.00221694 [ 0.05 %]\n", + "Force : 0.673134 [ 16.39 %]\n", + "Coefs : 2.54968 [ 62.08 %]\n", + "Output : 0.00147528 [ 0.04 %]\n", + "Levels : 0.000273896 [ 0.01 %]\n", + "Report : 1.382e-06 [ 0.00 %]\n", + "Balance : 6.98e-07 [ 0.00 %]\n", + "Adjust : 0.879688 [ 21.42 %]\n", + "Total : 4.10727 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6564 448 119 5 6 \n", + "1 : 6588 430 114 5 5 \n", + "2 : 6533 462 132 8 7 \n", + "3 : 6559 449 120 8 6 \n", + "4 : 6588 434 110 5 5 \n", + "5 : 6610 410 109 9 4 \n", + "6 : 6582 419 131 7 3 \n", + "7 : 6521 479 124 13 5 \n", + "8 : 6587 421 115 11 8 \n", + "9 : 6577 425 120 11 9 \n", + "10 : 6520 484 121 10 7 \n", + "11 : 6567 437 123 7 8 \n", + "12 : 6603 403 118 11 7 \n", + "13 : 6550 478 113 10 3 \n", + "\n", + "T : 91949 6179 1669 120 83 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.0485e-02 sec\n", + "--- Collate = 5.0504e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.957900e-06 < 6.250000e-03 [49]\n", + "--- Max DT=3.032701e-01 > 1.000000e-01 [70749]\n", + "----------------------------------------------------------------------\n", + " Component | low: 49/100000\n", + " Component | high: 70749/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=18.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000636276 [ 0.02 %]\n", + "Velocity : 0.00176971 [ 0.04 %]\n", + "Force : 0.662781 [ 16.24 %]\n", + "Coefs : 2.61336 [ 64.03 %]\n", + "Output : 0.00133552 [ 0.03 %]\n", + "Levels : 0.000261026 [ 0.01 %]\n", + "Report : 1.441e-06 [ 0.00 %]\n", + "Balance : 5.17e-07 [ 0.00 %]\n", + "Adjust : 0.801431 [ 19.64 %]\n", + "Total : 4.08163 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6562 449 120 5 6 \n", + "1 : 6588 427 117 5 5 \n", + "2 : 6528 470 129 9 6 \n", + "3 : 6562 442 123 9 6 \n", + "4 : 6590 433 108 6 5 \n", + "5 : 6609 412 108 8 5 \n", + "6 : 6583 416 133 7 3 \n", + "7 : 6520 479 126 12 5 \n", + "8 : 6582 422 119 11 8 \n", + "9 : 6579 421 122 12 8 \n", + "10 : 6520 483 120 12 7 \n", + "11 : 6567 438 123 6 8 \n", + "12 : 6604 408 111 10 9 \n", + "13 : 6551 476 113 10 4 \n", + "\n", + "T : 91945 6176 1672 122 85 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 6.6587e-02 sec\n", + "--- Collate = 7.6574e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.308535e-04 < 6.250000e-03 [51]\n", + "--- Max DT=3.033082e-01 > 1.000000e-01 [70741]\n", + "----------------------------------------------------------------------\n", + " Component | low: 51/100000\n", + " Component | high: 70741/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=18.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000849258 [ 0.02 %]\n", + "Velocity : 0.00255009 [ 0.06 %]\n", + "Force : 0.78304 [ 18.11 %]\n", + "Coefs : 2.59719 [ 60.06 %]\n", + "Output : 0.00145777 [ 0.03 %]\n", + "Levels : 0.000254365 [ 0.01 %]\n", + "Report : 1.245e-06 [ 0.00 %]\n", + "Balance : 3.1e-07 [ 0.00 %]\n", + "Adjust : 0.938586 [ 21.71 %]\n", + "Total : 4.32399 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6566 444 121 5 6 \n", + "1 : 6585 428 120 4 5 \n", + "2 : 6530 467 129 7 9 \n", + "3 : 6558 445 125 9 5 \n", + "4 : 6588 437 107 5 5 \n", + "5 : 6609 411 109 9 4 \n", + "6 : 6581 416 135 6 4 \n", + "7 : 6520 482 126 8 6 \n", + "8 : 6580 424 120 10 8 \n", + "9 : 6577 421 124 11 9 \n", + "10 : 6526 473 126 10 7 \n", + "11 : 6568 438 122 6 8 \n", + "12 : 6607 401 115 9 10 \n", + "13 : 6552 477 109 12 4 \n", + "\n", + "T : 91947 6164 1688 111 90 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 9.3566e-02 sec\n", + "--- Collate = 1.1033e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.007970e-05 < 6.250000e-03 [52]\n", + "--- Max DT=3.033473e-01 > 1.000000e-01 [70718]\n", + "----------------------------------------------------------------------\n", + " Component | low: 52/100000\n", + " Component | high: 70718/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=19] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000428704 [ 0.01 %]\n", + "Velocity : 0.00129933 [ 0.03 %]\n", + "Force : 0.641073 [ 15.98 %]\n", + "Coefs : 2.51866 [ 62.77 %]\n", + "Output : 0.0092242 [ 0.23 %]\n", + "Levels : 0.000318436 [ 0.01 %]\n", + "Report : 1.593e-06 [ 0.00 %]\n", + "Balance : 6.41e-07 [ 0.00 %]\n", + "Adjust : 0.841606 [ 20.97 %]\n", + "Total : 4.01267 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6567 445 120 4 6 \n", + "1 : 6588 422 121 8 3 \n", + "2 : 6531 468 128 5 10 \n", + "3 : 6558 444 124 10 6 \n", + "4 : 6589 436 106 7 4 \n", + "5 : 6608 406 115 7 6 \n", + "6 : 6579 419 134 6 4 \n", + "7 : 6522 475 133 7 5 \n", + "8 : 6585 419 122 8 8 \n", + "9 : 6577 421 123 11 10 \n", + "10 : 6525 478 122 10 7 \n", + "11 : 6568 439 120 8 7 \n", + "12 : 6604 406 114 7 11 \n", + "13 : 6553 474 112 11 4 \n", + "\n", + "T : 91954 6152 1694 109 91 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 8.2241e-02 sec\n", + "--- Collate = 6.1388e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.410788e-06 < 6.250000e-03 [49]\n", + "--- Max DT=3.033847e-01 > 1.000000e-01 [70690]\n", + "----------------------------------------------------------------------\n", + " Component | low: 49/100000\n", + " Component | high: 70690/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=19.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0004192 [ 0.01 %]\n", + "Velocity : 0.00169448 [ 0.04 %]\n", + "Force : 0.664952 [ 14.27 %]\n", + "Coefs : 3.03238 [ 65.09 %]\n", + "Output : 0.00128624 [ 0.03 %]\n", + "Levels : 0.000265115 [ 0.01 %]\n", + "Report : 7.57e-07 [ 0.00 %]\n", + "Balance : 2.55e-07 [ 0.00 %]\n", + "Adjust : 0.957533 [ 20.55 %]\n", + "Total : 4.65858 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6568 445 119 4 6 \n", + "1 : 6587 422 123 8 2 \n", + "2 : 6533 465 128 8 8 \n", + "3 : 6554 448 126 7 7 \n", + "4 : 6592 433 106 6 5 \n", + "5 : 6612 402 114 7 7 \n", + "6 : 6577 420 137 4 4 \n", + "7 : 6523 474 135 6 4 \n", + "8 : 6587 413 128 6 8 \n", + "9 : 6580 418 122 13 9 \n", + "10 : 6527 477 121 10 7 \n", + "11 : 6566 439 122 8 7 \n", + "12 : 6603 408 112 8 11 \n", + "13 : 6556 468 115 10 5 \n", + "\n", + "T : 91965 6132 1708 105 90 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 5.3428e-02 sec\n", + "--- Collate = 1.1030e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.929785e-05 < 6.250000e-03 [52]\n", + "--- Max DT=3.034214e-01 > 1.000000e-01 [70666]\n", + "----------------------------------------------------------------------\n", + " Component | low: 52/100000\n", + " Component | high: 70666/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=19.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000792525 [ 0.02 %]\n", + "Velocity : 0.00194717 [ 0.05 %]\n", + "Force : 0.631904 [ 16.78 %]\n", + "Coefs : 2.37625 [ 63.08 %]\n", + "Output : 0.00138198 [ 0.04 %]\n", + "Levels : 0.000301831 [ 0.01 %]\n", + "Report : 1.128e-06 [ 0.00 %]\n", + "Balance : 3.5e-07 [ 0.00 %]\n", + "Adjust : 0.754166 [ 20.02 %]\n", + "Total : 3.7668 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6567 445 119 6 5 \n", + "1 : 6587 422 122 10 1 \n", + "2 : 6531 464 132 7 8 \n", + "3 : 6553 445 130 9 5 \n", + "4 : 6591 434 105 7 5 \n", + "5 : 6611 403 114 7 7 \n", + "6 : 6575 423 135 5 4 \n", + "7 : 6523 476 132 7 4 \n", + "8 : 6583 418 127 7 7 \n", + "9 : 6578 418 124 14 8 \n", + "10 : 6526 478 121 9 8 \n", + "11 : 6570 434 123 8 7 \n", + "12 : 6606 404 113 10 9 \n", + "13 : 6551 475 115 8 5 \n", + "\n", + "T : 91952 6139 1712 114 83 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 4.5759e-02 sec\n", + "--- Collate = 1.5998e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.238038e-05 < 6.250000e-03 [46]\n", + "--- Max DT=3.034586e-01 > 1.000000e-01 [70642]\n", + "----------------------------------------------------------------------\n", + " Component | low: 46/100000\n", + " Component | high: 70642/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=19.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00076326 [ 0.02 %]\n", + "Velocity : 0.00145739 [ 0.04 %]\n", + "Force : 0.6731 [ 17.55 %]\n", + "Coefs : 2.42663 [ 63.28 %]\n", + "Output : 0.00130843 [ 0.03 %]\n", + "Levels : 0.000136083 [ 0.00 %]\n", + "Report : 3.28e-07 [ 0.00 %]\n", + "Balance : 1.71e-07 [ 0.00 %]\n", + "Adjust : 0.731549 [ 19.08 %]\n", + "Total : 3.83499 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6572 439 121 5 5 \n", + "1 : 6583 424 125 8 2 \n", + "2 : 6528 467 130 10 7 \n", + "3 : 6548 454 127 8 5 \n", + "4 : 6592 434 105 8 3 \n", + "5 : 6611 405 112 7 7 \n", + "6 : 6579 423 132 4 4 \n", + "7 : 6526 468 137 7 4 \n", + "8 : 6585 411 131 8 7 \n", + "9 : 6579 417 123 16 7 \n", + "10 : 6524 479 122 8 9 \n", + "11 : 6566 440 121 10 5 \n", + "12 : 6602 409 115 8 8 \n", + "13 : 6551 478 112 9 4 \n", + "\n", + "T : 91946 6148 1713 116 77 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 3.7803e-02 sec\n", + "--- Collate = 1.0160e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.884449e-05 < 6.250000e-03 [43]\n", + "--- Max DT=3.034961e-01 > 1.000000e-01 [70633]\n", + "----------------------------------------------------------------------\n", + " Component | low: 43/100000\n", + " Component | high: 70633/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=19.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000188532 [ 0.01 %]\n", + "Velocity : 0.000905778 [ 0.02 %]\n", + "Force : 0.574284 [ 15.64 %]\n", + "Coefs : 2.38177 [ 64.85 %]\n", + "Output : 0.000718762 [ 0.02 %]\n", + "Levels : 0.000140822 [ 0.00 %]\n", + "Report : 3.91e-07 [ 0.00 %]\n", + "Balance : 1.08e-07 [ 0.00 %]\n", + "Adjust : 0.714646 [ 19.46 %]\n", + "Total : 3.67268 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6574 438 120 6 4 \n", + "1 : 6587 421 125 6 3 \n", + "2 : 6527 469 128 12 6 \n", + "3 : 6547 455 125 11 4 \n", + "4 : 6592 429 110 8 3 \n", + "5 : 6610 409 108 8 7 \n", + "6 : 6577 426 127 7 5 \n", + "7 : 6524 472 134 11 1 \n", + "8 : 6588 407 134 6 7 \n", + "9 : 6577 417 124 18 6 \n", + "10 : 6532 472 121 10 7 \n", + "11 : 6563 443 121 12 3 \n", + "12 : 6599 414 114 7 8 \n", + "13 : 6554 474 112 10 4 \n", + "\n", + "T : 91951 6146 1703 132 68 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 3.2753e-02 sec\n", + "--- Collate = 8.7898e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.527334e-06 < 6.250000e-03 [40]\n", + "--- Max DT=3.035326e-01 > 1.000000e-01 [70603]\n", + "----------------------------------------------------------------------\n", + " Component | low: 40/100000\n", + " Component | high: 70603/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=19.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000324781 [ 0.01 %]\n", + "Velocity : 0.00110284 [ 0.04 %]\n", + "Force : 0.557545 [ 18.31 %]\n", + "Coefs : 1.89247 [ 62.14 %]\n", + "Output : 0.000746216 [ 0.02 %]\n", + "Levels : 0.00217545 [ 0.07 %]\n", + "Report : 4.31e-07 [ 0.00 %]\n", + "Balance : 1.58e-07 [ 0.00 %]\n", + "Adjust : 0.591102 [ 19.41 %]\n", + "Total : 3.04549 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6573 437 119 9 4 \n", + "1 : 6581 429 124 4 4 \n", + "2 : 6527 469 128 8 10 \n", + "3 : 6551 455 120 13 3 \n", + "4 : 6597 425 110 8 2 \n", + "5 : 6612 404 111 8 7 \n", + "6 : 6580 425 125 8 4 \n", + "7 : 6524 471 134 12 1 \n", + "8 : 6585 411 132 8 6 \n", + "9 : 6581 412 125 18 6 \n", + "10 : 6534 468 122 9 9 \n", + "11 : 6564 441 123 11 3 \n", + "12 : 6598 411 120 5 8 \n", + "13 : 6557 470 114 9 4 \n", + "\n", + "T : 91964 6128 1707 130 71 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 6.2779e-02 sec\n", + "--- Collate = 8.0138e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.061280e-04 < 6.250000e-03 [31]\n", + "--- Max DT=3.035688e-01 > 1.000000e-01 [70580]\n", + "----------------------------------------------------------------------\n", + " Component | low: 31/100000\n", + " Component | high: 70580/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=19.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000177292 [ 0.01 %]\n", + "Velocity : 0.000653526 [ 0.02 %]\n", + "Force : 0.496489 [ 16.33 %]\n", + "Coefs : 1.92379 [ 63.26 %]\n", + "Output : 0.00078058 [ 0.03 %]\n", + "Levels : 0.000256246 [ 0.01 %]\n", + "Report : 3.79e-07 [ 0.00 %]\n", + "Balance : 1.49e-07 [ 0.00 %]\n", + "Adjust : 0.619058 [ 20.36 %]\n", + "Total : 3.04123 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6573 435 119 11 4 \n", + "1 : 6579 433 123 3 4 \n", + "2 : 6528 469 127 8 10 \n", + "3 : 6543 463 121 12 3 \n", + "4 : 6593 432 105 8 4 \n", + "5 : 6611 405 111 8 7 \n", + "6 : 6579 427 124 9 3 \n", + "7 : 6523 472 133 13 1 \n", + "8 : 6583 406 139 8 6 \n", + "9 : 6582 411 124 20 5 \n", + "10 : 6536 467 119 11 9 \n", + "11 : 6568 437 126 8 3 \n", + "12 : 6600 406 123 5 8 \n", + "13 : 6554 476 112 7 5 \n", + "\n", + "T : 91952 6139 1706 131 72 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 4.7596e-02 sec\n", + "--- Collate = 1.0031e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.814806e-05 < 6.250000e-03 [32]\n", + "--- Max DT=3.036037e-01 > 1.000000e-01 [70571]\n", + "----------------------------------------------------------------------\n", + " Component | low: 32/100000\n", + " Component | high: 70571/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=19.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000379745 [ 0.01 %]\n", + "Velocity : 0.00110471 [ 0.03 %]\n", + "Force : 0.524454 [ 16.50 %]\n", + "Coefs : 2.03595 [ 64.05 %]\n", + "Output : 0.000841995 [ 0.03 %]\n", + "Levels : 0.000158415 [ 0.00 %]\n", + "Report : 4.17e-07 [ 0.00 %]\n", + "Balance : 1.37e-07 [ 0.00 %]\n", + "Adjust : 0.615583 [ 19.37 %]\n", + "Total : 3.1785 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6573 433 120 13 3 \n", + "1 : 6581 429 125 3 4 \n", + "2 : 6524 474 126 9 9 \n", + "3 : 6544 460 124 10 4 \n", + "4 : 6591 434 105 7 5 \n", + "5 : 6612 403 113 6 8 \n", + "6 : 6576 432 121 8 5 \n", + "7 : 6520 477 131 11 3 \n", + "8 : 6586 402 140 8 6 \n", + "9 : 6579 412 128 18 5 \n", + "10 : 6536 468 120 10 8 \n", + "11 : 6569 437 125 8 3 \n", + "12 : 6598 407 123 8 6 \n", + "13 : 6553 474 115 7 5 \n", + "\n", + "T : 91942 6142 1716 126 74 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 4.1616e-02 sec\n", + "--- Collate = 8.0196e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.336047e-06 < 6.250000e-03 [30]\n", + "--- Max DT=3.036388e-01 > 1.000000e-01 [70560]\n", + "----------------------------------------------------------------------\n", + " Component | low: 30/100000\n", + " Component | high: 70560/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=19.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000182045 [ 0.01 %]\n", + "Velocity : 0.000857788 [ 0.03 %]\n", + "Force : 0.552363 [ 16.16 %]\n", + "Coefs : 2.18894 [ 64.04 %]\n", + "Output : 0.000544066 [ 0.02 %]\n", + "Levels : 0.000261188 [ 0.01 %]\n", + "Report : 9.24e-07 [ 0.00 %]\n", + "Balance : 7.13e-07 [ 0.00 %]\n", + "Adjust : 0.674873 [ 19.74 %]\n", + "Total : 3.41805 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6570 433 122 13 4 \n", + "1 : 6581 431 122 4 4 \n", + "2 : 6524 473 128 8 9 \n", + "3 : 6543 464 118 13 4 \n", + "4 : 6596 431 102 8 5 \n", + "5 : 6616 397 115 7 7 \n", + "6 : 6577 430 123 7 5 \n", + "7 : 6518 479 130 10 5 \n", + "8 : 6584 402 141 9 6 \n", + "9 : 6577 413 127 20 5 \n", + "10 : 6535 465 123 13 6 \n", + "11 : 6567 437 126 9 3 \n", + "12 : 6602 400 125 9 6 \n", + "13 : 6553 474 115 7 5 \n", + "\n", + "T : 91943 6129 1717 137 74 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 27.3%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 4.8436e-02 sec\n", + "--- Collate = 3.7860e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.805189e-05 < 6.250000e-03 [35]\n", + "--- Max DT=3.036725e-01 > 1.000000e-01 [70528]\n", + "----------------------------------------------------------------------\n", + " Component | low: 35/100000\n", + " Component | high: 70528/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=19.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000678655 [ 0.02 %]\n", + "Velocity : 0.00174373 [ 0.05 %]\n", + "Force : 0.538077 [ 15.98 %]\n", + "Coefs : 2.15304 [ 63.94 %]\n", + "Output : 0.00123302 [ 0.04 %]\n", + "Levels : 0.000328593 [ 0.01 %]\n", + "Report : 1.145e-06 [ 0.00 %]\n", + "Balance : 3.96e-07 [ 0.00 %]\n", + "Adjust : 0.672351 [ 19.97 %]\n", + "Total : 3.3675 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6569 430 127 12 4 \n", + "1 : 6583 429 122 4 4 \n", + "2 : 6527 469 128 9 9 \n", + "3 : 6543 461 122 12 4 \n", + "4 : 6603 425 99 10 5 \n", + "5 : 6619 397 114 6 6 \n", + "6 : 6577 432 122 6 5 \n", + "7 : 6516 481 130 10 5 \n", + "8 : 6579 408 140 10 5 \n", + "9 : 6578 414 127 17 6 \n", + "10 : 6536 466 121 11 8 \n", + "11 : 6560 446 123 10 3 \n", + "12 : 6600 399 123 15 5 \n", + "13 : 6553 473 115 10 3 \n", + "\n", + "T : 91943 6130 1713 142 72 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 6.1481e-02 sec\n", + "--- Collate = 3.0629e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.066363e-05 < 6.250000e-03 [41]\n", + "--- Max DT=3.037046e-01 > 1.000000e-01 [70506]\n", + "----------------------------------------------------------------------\n", + " Component | low: 41/100000\n", + " Component | high: 70506/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=20] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000609441 [ 0.02 %]\n", + "Velocity : 0.00166224 [ 0.05 %]\n", + "Force : 0.590812 [ 16.27 %]\n", + "Coefs : 2.28988 [ 63.06 %]\n", + "Output : 0.0112333 [ 0.31 %]\n", + "Levels : 0.000290998 [ 0.01 %]\n", + "Report : 1.488e-06 [ 0.00 %]\n", + "Balance : 6.48e-07 [ 0.00 %]\n", + "Adjust : 0.736779 [ 20.29 %]\n", + "Total : 3.63133 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6571 428 127 11 5 \n", + "1 : 6582 430 122 4 4 \n", + "2 : 6529 466 128 10 9 \n", + "3 : 6545 458 123 11 5 \n", + "4 : 6604 431 89 14 4 \n", + "5 : 6618 398 114 7 5 \n", + "6 : 6576 437 116 8 5 \n", + "7 : 6518 478 130 10 6 \n", + "8 : 6582 402 142 10 6 \n", + "9 : 6579 412 129 17 5 \n", + "10 : 6541 458 123 14 6 \n", + "11 : 6560 447 122 8 5 \n", + "12 : 6602 397 123 17 3 \n", + "13 : 6554 475 113 9 3 \n", + "\n", + "T : 91961 6117 1701 150 71 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 6.4539e-02 sec\n", + "--- Collate = 9.0265e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.329852e-04 < 6.250000e-03 [42]\n", + "--- Max DT=3.037366e-01 > 1.000000e-01 [70487]\n", + "----------------------------------------------------------------------\n", + " Component | low: 42/100000\n", + " Component | high: 70487/100000\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=20.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000444268 [ 0.01 %]\n", + "Velocity : 0.00568567 [ 0.16 %]\n", + "Force : 0.643597 [ 17.63 %]\n", + "Coefs : 2.21946 [ 60.78 %]\n", + "Output : 0.00102209 [ 0.03 %]\n", + "Levels : 0.00848496 [ 0.23 %]\n", + "Report : 9.06e-07 [ 0.00 %]\n", + "Balance : 3.9e-07 [ 0.00 %]\n", + "Adjust : 0.772817 [ 21.16 %]\n", + "Total : 3.65157 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6576 425 126 10 5 \n", + "1 : 6583 430 121 4 4 \n", + "2 : 6530 464 127 12 9 \n", + "3 : 6546 461 118 12 5 \n", + "4 : 6605 430 91 12 4 \n", + "5 : 6616 398 116 7 5 \n", + "6 : 6574 437 117 8 6 \n", + "7 : 6520 476 131 9 6 \n", + "8 : 6577 409 139 11 6 \n", + "9 : 6577 415 129 16 5 \n", + "10 : 6544 452 126 15 5 \n", + "11 : 6562 439 128 8 5 \n", + "12 : 6604 397 120 17 4 \n", + "13 : 6556 470 113 12 3 \n", + "\n", + "T : 91970 6103 1702 153 72 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 4.2206e-02 sec\n", + "--- Collate = 7.0275e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.380524e-05 < 6.250000e-03 [46]\n", + "--- Max DT=3.037670e-01 > 1.000000e-01 [70470]\n", + "----------------------------------------------------------------------\n", + " Component | low: 46/100000\n", + " Component | high: 70470/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=20.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000488822 [ 0.01 %]\n", + "Velocity : 0.00165043 [ 0.04 %]\n", + "Force : 0.560284 [ 15.16 %]\n", + "Coefs : 2.39366 [ 64.76 %]\n", + "Output : 0.00110317 [ 0.03 %]\n", + "Levels : 0.000301193 [ 0.01 %]\n", + "Report : 9.29e-07 [ 0.00 %]\n", + "Balance : 3.2e-07 [ 0.00 %]\n", + "Adjust : 0.738811 [ 19.99 %]\n", + "Total : 3.69636 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6579 422 127 9 5 \n", + "1 : 6584 424 127 4 3 \n", + "2 : 6527 468 126 11 10 \n", + "3 : 6548 460 117 13 4 \n", + "4 : 6603 429 93 13 4 \n", + "5 : 6615 402 114 6 5 \n", + "6 : 6572 435 121 8 6 \n", + "7 : 6519 479 127 11 6 \n", + "8 : 6582 403 140 9 8 \n", + "9 : 6579 417 125 15 6 \n", + "10 : 6537 456 129 14 6 \n", + "11 : 6562 436 131 7 6 \n", + "12 : 6601 398 122 15 6 \n", + "13 : 6555 467 115 12 5 \n", + "\n", + "T : 91963 6096 1714 147 80 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 5.0555e-02 sec\n", + "--- Collate = 8.0416e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.539607e-05 < 6.250000e-03 [43]\n", + "--- Max DT=3.037976e-01 > 1.000000e-01 [70438]\n", + "----------------------------------------------------------------------\n", + " Component | low: 43/100000\n", + " Component | high: 70438/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=20.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000427776 [ 0.01 %]\n", + "Velocity : 0.00143315 [ 0.04 %]\n", + "Force : 0.562939 [ 15.87 %]\n", + "Coefs : 2.1662 [ 61.07 %]\n", + "Output : 0.00136275 [ 0.04 %]\n", + "Levels : 0.000765101 [ 0.02 %]\n", + "Report : 1.303e-06 [ 0.00 %]\n", + "Balance : 5.8e-07 [ 0.00 %]\n", + "Adjust : 0.813621 [ 22.94 %]\n", + "Total : 3.5468 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6578 419 131 9 5 \n", + "1 : 6584 424 127 5 2 \n", + "2 : 6530 464 128 11 9 \n", + "3 : 6551 453 119 16 3 \n", + "4 : 6601 434 90 14 3 \n", + "5 : 6618 397 114 9 4 \n", + "6 : 6569 438 120 11 4 \n", + "7 : 6520 478 126 11 7 \n", + "8 : 6578 406 141 8 9 \n", + "9 : 6583 411 124 15 9 \n", + "10 : 6537 456 132 10 7 \n", + "11 : 6560 433 136 8 5 \n", + "12 : 6601 397 122 16 6 \n", + "13 : 6555 465 119 10 5 \n", + "\n", + "T : 91965 6075 1729 153 78 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 5.7730e-02 sec\n", + "--- Collate = 1.2048e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.945062e-05 < 6.250000e-03 [45]\n", + "--- Max DT=3.038259e-01 > 1.000000e-01 [70432]\n", + "----------------------------------------------------------------------\n", + " Component | low: 45/100000\n", + " Component | high: 70432/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=20.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000674472 [ 0.02 %]\n", + "Velocity : 0.00166453 [ 0.05 %]\n", + "Force : 0.567368 [ 15.89 %]\n", + "Coefs : 2.26478 [ 63.45 %]\n", + "Output : 0.0015784 [ 0.04 %]\n", + "Levels : 0.00029378 [ 0.01 %]\n", + "Report : 1.434e-06 [ 0.00 %]\n", + "Balance : 6.02e-07 [ 0.00 %]\n", + "Adjust : 0.733193 [ 20.54 %]\n", + "Total : 3.5696 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6574 421 132 10 5 \n", + "1 : 6583 427 124 4 4 \n", + "2 : 6538 453 131 11 9 \n", + "3 : 6550 452 122 14 4 \n", + "4 : 6600 433 92 12 5 \n", + "5 : 6610 405 113 10 4 \n", + "6 : 6570 436 122 9 5 \n", + "7 : 6522 473 129 10 8 \n", + "8 : 6578 405 143 9 7 \n", + "9 : 6586 407 125 16 8 \n", + "10 : 6536 454 135 11 6 \n", + "11 : 6556 437 136 7 6 \n", + "12 : 6595 402 123 15 7 \n", + "13 : 6554 465 119 11 5 \n", + "\n", + "T : 91952 6070 1746 149 83 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 3.4612e-02 sec\n", + "--- Collate = 6.0103e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.427929e-05 < 6.250000e-03 [40]\n", + "--- Max DT=3.038540e-01 > 1.000000e-01 [70396]\n", + "----------------------------------------------------------------------\n", + " Component | low: 40/100000\n", + " Component | high: 70396/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=20.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000658514 [ 0.02 %]\n", + "Velocity : 0.00158502 [ 0.05 %]\n", + "Force : 0.545049 [ 16.17 %]\n", + "Coefs : 2.19726 [ 65.17 %]\n", + "Output : 0.00147859 [ 0.04 %]\n", + "Levels : 0.000278926 [ 0.01 %]\n", + "Report : 9.81e-07 [ 0.00 %]\n", + "Balance : 5.21e-07 [ 0.00 %]\n", + "Adjust : 0.62511 [ 18.54 %]\n", + "Total : 3.37148 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6572 419 135 11 5 \n", + "1 : 6582 428 123 5 4 \n", + "2 : 6537 454 133 8 10 \n", + "3 : 6548 451 126 13 4 \n", + "4 : 6596 435 95 12 4 \n", + "5 : 6611 405 110 13 3 \n", + "6 : 6566 437 123 11 5 \n", + "7 : 6519 482 123 11 7 \n", + "8 : 6583 401 141 9 8 \n", + "9 : 6583 408 126 17 8 \n", + "10 : 6529 459 136 12 6 \n", + "11 : 6561 432 136 7 6 \n", + "12 : 6595 405 121 15 6 \n", + "13 : 6554 466 117 12 5 \n", + "\n", + "T : 91936 6082 1745 156 81 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 3.7%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 4.3536e-02 sec\n", + "--- Collate = 1.0344e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.782098e-06 < 6.250000e-03 [37]\n", + "--- Max DT=3.038825e-01 > 1.000000e-01 [70378]\n", + "----------------------------------------------------------------------\n", + " Component | low: 37/100000\n", + " Component | high: 70378/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=20.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000416468 [ 0.01 %]\n", + "Velocity : 0.00147519 [ 0.04 %]\n", + "Force : 0.589639 [ 16.77 %]\n", + "Coefs : 2.19453 [ 62.41 %]\n", + "Output : 0.00142996 [ 0.04 %]\n", + "Levels : 0.000293404 [ 0.01 %]\n", + "Report : 1.01e-06 [ 0.00 %]\n", + "Balance : 3.61e-07 [ 0.00 %]\n", + "Adjust : 0.728693 [ 20.72 %]\n", + "Total : 3.51654 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6570 416 139 11 6 \n", + "1 : 6582 430 120 6 4 \n", + "2 : 6543 444 138 9 8 \n", + "3 : 6548 452 126 13 3 \n", + "4 : 6589 440 95 12 6 \n", + "5 : 6605 411 111 11 4 \n", + "6 : 6565 435 126 12 4 \n", + "7 : 6520 481 123 14 4 \n", + "8 : 6578 409 138 9 8 \n", + "9 : 6583 410 123 17 9 \n", + "10 : 6528 461 135 12 6 \n", + "11 : 6561 428 138 8 7 \n", + "12 : 6593 409 118 17 5 \n", + "13 : 6556 464 117 12 5 \n", + "\n", + "T : 91921 6090 1747 163 79 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 3.4541e-02 sec\n", + "--- Collate = 8.0324e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.642497e-05 < 6.250000e-03 [36]\n", + "--- Max DT=3.039092e-01 > 1.000000e-01 [70342]\n", + "----------------------------------------------------------------------\n", + " Component | low: 36/100000\n", + " Component | high: 70342/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=20.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000370264 [ 0.01 %]\n", + "Velocity : 0.00127557 [ 0.05 %]\n", + "Force : 0.511249 [ 18.43 %]\n", + "Coefs : 1.73357 [ 62.51 %]\n", + "Output : 0.000943672 [ 0.03 %]\n", + "Levels : 0.000321422 [ 0.01 %]\n", + "Report : 9.07e-07 [ 0.00 %]\n", + "Balance : 3.66e-07 [ 0.00 %]\n", + "Adjust : 0.525563 [ 18.95 %]\n", + "Total : 2.77335 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6569 417 138 12 6 \n", + "1 : 6581 431 119 7 4 \n", + "2 : 6536 447 142 9 8 \n", + "3 : 6545 455 128 11 3 \n", + "4 : 6589 439 98 10 6 \n", + "5 : 6606 404 118 11 3 \n", + "6 : 6565 435 128 9 5 \n", + "7 : 6517 483 126 12 4 \n", + "8 : 6581 406 138 11 6 \n", + "9 : 6583 407 128 15 9 \n", + "10 : 6532 457 134 15 4 \n", + "11 : 6563 424 141 6 8 \n", + "12 : 6595 408 119 17 3 \n", + "13 : 6554 465 120 10 5 \n", + "\n", + "T : 91916 6078 1777 155 74 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 4.9489e-02 sec\n", + "--- Collate = 8.0163e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.347790e-04 < 6.250000e-03 [36]\n", + "--- Max DT=3.039356e-01 > 1.000000e-01 [70317]\n", + "----------------------------------------------------------------------\n", + " Component | low: 36/100000\n", + " Component | high: 70317/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=20.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000790974 [ 0.02 %]\n", + "Velocity : 0.00181301 [ 0.06 %]\n", + "Force : 0.53662 [ 16.29 %]\n", + "Coefs : 2.02246 [ 61.39 %]\n", + "Output : 0.00544362 [ 0.17 %]\n", + "Levels : 0.000298475 [ 0.01 %]\n", + "Report : 1.229e-06 [ 0.00 %]\n", + "Balance : 2.48e-07 [ 0.00 %]\n", + "Adjust : 0.727012 [ 22.07 %]\n", + "Total : 3.29449 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6567 417 141 12 5 \n", + "1 : 6585 429 115 9 4 \n", + "2 : 6538 444 142 11 7 \n", + "3 : 6548 450 128 13 3 \n", + "4 : 6591 433 101 11 6 \n", + "5 : 6608 400 120 10 4 \n", + "6 : 6566 434 129 9 4 \n", + "7 : 6511 482 132 13 4 \n", + "8 : 6582 407 138 8 7 \n", + "9 : 6580 404 133 16 9 \n", + "10 : 6533 458 133 14 4 \n", + "11 : 6557 428 142 6 9 \n", + "12 : 6598 408 116 17 3 \n", + "13 : 6555 462 123 9 5 \n", + "\n", + "T : 91919 6056 1793 158 74 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 5.4588e-02 sec\n", + "--- Collate = 5.0442e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.498542e-05 < 6.250000e-03 [38]\n", + "--- Max DT=3.039617e-01 > 1.000000e-01 [70286]\n", + "----------------------------------------------------------------------\n", + " Component | low: 38/100000\n", + " Component | high: 70286/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=20.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000636295 [ 0.02 %]\n", + "Velocity : 0.00146557 [ 0.04 %]\n", + "Force : 0.622886 [ 17.31 %]\n", + "Coefs : 2.3271 [ 64.68 %]\n", + "Output : 0.00129274 [ 0.04 %]\n", + "Levels : 0.000241239 [ 0.01 %]\n", + "Report : 1.036e-06 [ 0.00 %]\n", + "Balance : 5.54e-07 [ 0.00 %]\n", + "Adjust : 0.643936 [ 17.90 %]\n", + "Total : 3.59762 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6566 419 139 13 5 \n", + "1 : 6590 424 116 10 2 \n", + "2 : 6536 449 138 12 7 \n", + "3 : 6548 451 126 15 2 \n", + "4 : 6586 437 104 9 6 \n", + "5 : 6608 399 120 12 3 \n", + "6 : 6563 439 128 7 5 \n", + "7 : 6508 483 133 14 4 \n", + "8 : 6581 409 135 11 6 \n", + "9 : 6576 409 132 16 9 \n", + "10 : 6536 455 133 14 4 \n", + "11 : 6558 424 144 9 7 \n", + "12 : 6603 404 115 18 2 \n", + "13 : 6556 458 125 9 6 \n", + "\n", + "T : 91915 6060 1788 169 68 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 6.2554e-02 sec\n", + "--- Collate = 1.0040e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.060526e-06 < 6.250000e-03 [38]\n", + "--- Max DT=3.039872e-01 > 1.000000e-01 [70269]\n", + "----------------------------------------------------------------------\n", + " Component | low: 38/100000\n", + " Component | high: 70269/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=21] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00447389 [ 0.14 %]\n", + "Velocity : 0.00139337 [ 0.04 %]\n", + "Force : 0.537271 [ 16.77 %]\n", + "Coefs : 1.94792 [ 60.81 %]\n", + "Output : 0.0109185 [ 0.34 %]\n", + "Levels : 0.000278016 [ 0.01 %]\n", + "Report : 1.386e-06 [ 0.00 %]\n", + "Balance : 8.85e-07 [ 0.00 %]\n", + "Adjust : 0.701033 [ 21.88 %]\n", + "Total : 3.20334 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6565 415 143 13 6 \n", + "1 : 6590 428 112 10 2 \n", + "2 : 6534 451 137 13 7 \n", + "3 : 6553 443 129 15 2 \n", + "4 : 6590 428 108 10 6 \n", + "5 : 6606 404 118 10 4 \n", + "6 : 6566 435 128 8 5 \n", + "7 : 6509 477 137 14 5 \n", + "8 : 6580 411 134 12 5 \n", + "9 : 6569 420 128 16 9 \n", + "10 : 6533 459 133 12 5 \n", + "11 : 6556 427 143 10 6 \n", + "12 : 6604 401 117 17 3 \n", + "13 : 6555 454 127 13 5 \n", + "\n", + "T : 91910 6053 1794 173 70 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 4.5433e-02 sec\n", + "--- Collate = 7.0431e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.783489e-05 < 6.250000e-03 [35]\n", + "--- Max DT=3.040120e-01 > 1.000000e-01 [70232]\n", + "----------------------------------------------------------------------\n", + " Component | low: 35/100000\n", + " Component | high: 70232/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=21.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000719102 [ 0.03 %]\n", + "Velocity : 0.00184677 [ 0.07 %]\n", + "Force : 0.469042 [ 18.56 %]\n", + "Coefs : 1.45813 [ 57.71 %]\n", + "Output : 0.00139274 [ 0.06 %]\n", + "Levels : 0.000288075 [ 0.01 %]\n", + "Report : 1.297e-06 [ 0.00 %]\n", + "Balance : 3.43e-07 [ 0.00 %]\n", + "Adjust : 0.595145 [ 23.55 %]\n", + "Total : 2.52662 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6569 410 143 14 6 \n", + "1 : 6589 429 111 10 3 \n", + "2 : 6530 453 140 12 7 \n", + "3 : 6553 444 130 13 2 \n", + "4 : 6586 434 106 10 6 \n", + "5 : 6602 406 122 8 4 \n", + "6 : 6563 439 127 8 5 \n", + "7 : 6504 479 140 14 5 \n", + "8 : 6581 412 133 10 6 \n", + "9 : 6564 423 132 15 8 \n", + "10 : 6531 460 132 15 4 \n", + "11 : 6553 427 145 13 4 \n", + "12 : 6598 408 117 16 3 \n", + "13 : 6550 460 124 15 5 \n", + "\n", + "T : 91873 6084 1802 173 68 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 3.8617e-02 sec\n", + "--- Collate = 5.0484e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.341329e-05 < 6.250000e-03 [37]\n", + "--- Max DT=3.040359e-01 > 1.000000e-01 [70201]\n", + "----------------------------------------------------------------------\n", + " Component | low: 37/100000\n", + " Component | high: 70201/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=21.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00080907 [ 0.02 %]\n", + "Velocity : 0.00190331 [ 0.05 %]\n", + "Force : 0.629077 [ 16.97 %]\n", + "Coefs : 2.33997 [ 63.13 %]\n", + "Output : 0.00115969 [ 0.03 %]\n", + "Levels : 0.000394433 [ 0.01 %]\n", + "Report : 1.267e-06 [ 0.00 %]\n", + "Balance : 5.89e-07 [ 0.00 %]\n", + "Adjust : 0.733503 [ 19.79 %]\n", + "Total : 3.70688 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6570 409 146 10 7 \n", + "1 : 6589 427 113 10 3 \n", + "2 : 6521 464 140 12 5 \n", + "3 : 6549 451 126 13 3 \n", + "4 : 6583 435 109 8 7 \n", + "5 : 6601 401 127 8 5 \n", + "6 : 6559 447 123 7 6 \n", + "7 : 6503 480 141 15 3 \n", + "8 : 6587 405 135 9 6 \n", + "9 : 6566 421 132 15 8 \n", + "10 : 6531 455 138 12 6 \n", + "11 : 6557 422 146 14 3 \n", + "12 : 6602 401 120 16 3 \n", + "13 : 6552 459 123 16 4 \n", + "\n", + "T : 91870 6077 1819 165 69 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 22.4%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 5.8501e-02 sec\n", + "--- Collate = 1.6030e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.500458e-05 < 6.250000e-03 [37]\n", + "--- Max DT=3.040589e-01 > 1.000000e-01 [70179]\n", + "----------------------------------------------------------------------\n", + " Component | low: 37/100000\n", + " Component | high: 70179/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=21.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000789747 [ 0.02 %]\n", + "Velocity : 0.00154277 [ 0.05 %]\n", + "Force : 0.592203 [ 18.09 %]\n", + "Coefs : 1.93146 [ 59.00 %]\n", + "Output : 0.00130573 [ 0.04 %]\n", + "Levels : 0.000212773 [ 0.01 %]\n", + "Report : 6.83e-07 [ 0.00 %]\n", + "Balance : 4.37e-07 [ 0.00 %]\n", + "Adjust : 0.746281 [ 22.80 %]\n", + "Total : 3.27385 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6562 417 146 10 7 \n", + "1 : 6588 426 115 11 2 \n", + "2 : 6526 461 138 12 5 \n", + "3 : 6554 444 128 13 3 \n", + "4 : 6583 430 112 10 7 \n", + "5 : 6599 406 124 7 6 \n", + "6 : 6562 444 123 4 9 \n", + "7 : 6499 485 139 13 6 \n", + "8 : 6584 409 132 11 6 \n", + "9 : 6568 418 132 16 8 \n", + "10 : 6534 453 137 12 6 \n", + "11 : 6556 419 150 12 5 \n", + "12 : 6601 401 122 14 4 \n", + "13 : 6553 460 122 15 4 \n", + "\n", + "T : 91869 6073 1820 160 78 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info in comp, mlevel=3--------------------------------------\n", + "----------------------------------------------------------------------\n", + " COM: 2.677470e-04\n", + " Position: 2.179440e+01\n", + " --------------------------------------------------\n", + " *** fix pos : 1.097512e+01 \n", + " --------------------------------------------------\n", + " Ang mom: 3.313620e+00\n", + " Zero: 8.442801e-02\n", + " Accel: 2.578545e+00\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " Interaction: 3.997430e-04\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " External: 6.569230e-04\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " Expand: 1.870093e+02\n", + " Force: 2.666450e+00\n", + " Elapsed: 3.002752e+02\n", + "----------------------------------------------------------------------\n", + "\n", + "mstep/Mstep=10/16\n", + "0 |75 1 |76 2 |150 3 |301 4 |602 \n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 7.2977e-02 sec\n", + "--- Collate = 5.2130e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.820386e-06 < 6.250000e-03 [39]\n", + "--- Max DT=3.040849e-01 > 1.000000e-01 [70161]\n", + "----------------------------------------------------------------------\n", + " Component | low: 39/100000\n", + " Component | high: 70161/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=21.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00078622 [ 0.02 %]\n", + "Velocity : 0.00228917 [ 0.05 %]\n", + "Force : 0.723945 [ 16.16 %]\n", + "Coefs : 2.85018 [ 63.62 %]\n", + "Output : 0.00120701 [ 0.03 %]\n", + "Levels : 0.000352971 [ 0.01 %]\n", + "Report : 1.068e-06 [ 0.00 %]\n", + "Balance : 3.5e-07 [ 0.00 %]\n", + "Adjust : 0.901109 [ 20.11 %]\n", + "Total : 4.47993 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6564 413 146 13 6 \n", + "1 : 6590 424 114 12 2 \n", + "2 : 6521 464 142 11 4 \n", + "3 : 6549 449 127 14 3 \n", + "4 : 6579 433 112 12 6 \n", + "5 : 6598 407 124 6 7 \n", + "6 : 6561 444 124 6 7 \n", + "7 : 6501 482 136 16 7 \n", + "8 : 6586 411 128 10 7 \n", + "9 : 6565 419 134 16 8 \n", + "10 : 6534 461 130 10 7 \n", + "11 : 6553 426 144 14 5 \n", + "12 : 6602 398 122 14 6 \n", + "13 : 6554 459 123 14 4 \n", + "\n", + "T : 91857 6090 1806 168 79 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 5.2441e-02 sec\n", + "--- Collate = 4.1950e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.523628e-05 < 6.250000e-03 [38]\n", + "--- Max DT=3.041291e-01 > 1.000000e-01 [70139]\n", + "----------------------------------------------------------------------\n", + " Component | low: 38/100000\n", + " Component | high: 70139/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=21.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00476725 [ 0.13 %]\n", + "Velocity : 0.00218471 [ 0.06 %]\n", + "Force : 0.547782 [ 15.34 %]\n", + "Coefs : 2.27724 [ 63.76 %]\n", + "Output : 0.00115518 [ 0.03 %]\n", + "Levels : 0.000271976 [ 0.01 %]\n", + "Report : 8.85e-07 [ 0.00 %]\n", + "Balance : 2.67e-07 [ 0.00 %]\n", + "Adjust : 0.737897 [ 20.66 %]\n", + "Total : 3.57136 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6562 417 146 13 4 \n", + "1 : 6589 422 120 9 2 \n", + "2 : 6518 468 139 12 5 \n", + "3 : 6547 455 123 13 4 \n", + "4 : 6584 426 114 12 6 \n", + "5 : 6595 411 123 6 7 \n", + "6 : 6558 438 134 4 8 \n", + "7 : 6503 475 142 16 6 \n", + "8 : 6587 412 125 12 6 \n", + "9 : 6562 423 133 17 7 \n", + "10 : 6539 456 130 10 7 \n", + "11 : 6553 423 147 13 6 \n", + "12 : 6597 403 122 13 7 \n", + "13 : 6547 466 125 11 5 \n", + "\n", + "T : 91841 6095 1823 161 80 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 5.7390e-02 sec\n", + "--- Collate = 7.0396e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.053627e-04 < 6.250000e-03 [42]\n", + "--- Max DT=3.041732e-01 > 1.000000e-01 [70110]\n", + "----------------------------------------------------------------------\n", + " Component | low: 42/100000\n", + " Component | high: 70110/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=21.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000430543 [ 0.01 %]\n", + "Velocity : 0.00152661 [ 0.04 %]\n", + "Force : 0.584429 [ 15.64 %]\n", + "Coefs : 2.36553 [ 63.29 %]\n", + "Output : 0.00102662 [ 0.03 %]\n", + "Levels : 0.000324158 [ 0.01 %]\n", + "Report : 8.97e-07 [ 0.00 %]\n", + "Balance : 2.98e-07 [ 0.00 %]\n", + "Adjust : 0.784104 [ 20.98 %]\n", + "Total : 3.73742 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6558 421 146 11 6 \n", + "1 : 6591 421 118 9 3 \n", + "2 : 6520 467 139 10 6 \n", + "3 : 6551 453 120 14 4 \n", + "4 : 6588 423 113 12 6 \n", + "5 : 6593 411 126 7 5 \n", + "6 : 6561 436 134 4 7 \n", + "7 : 6502 478 140 16 6 \n", + "8 : 6583 417 124 10 8 \n", + "9 : 6563 417 137 17 8 \n", + "10 : 6537 460 125 14 6 \n", + "11 : 6546 431 145 15 5 \n", + "12 : 6598 405 119 14 6 \n", + "13 : 6548 468 123 10 5 \n", + "\n", + "T : 91839 6108 1809 163 81 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 5.3404e-02 sec\n", + "--- Collate = 1.0788e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.706609e-05 < 6.250000e-03 [43]\n", + "--- Max DT=3.042144e-01 > 1.000000e-01 [70084]\n", + "----------------------------------------------------------------------\n", + " Component | low: 43/100000\n", + " Component | high: 70084/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=21.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000476184 [ 0.01 %]\n", + "Velocity : 0.00158899 [ 0.04 %]\n", + "Force : 0.678826 [ 18.37 %]\n", + "Coefs : 2.18008 [ 58.99 %]\n", + "Output : 0.00150781 [ 0.04 %]\n", + "Levels : 0.00024904 [ 0.01 %]\n", + "Report : 8.07e-07 [ 0.00 %]\n", + "Balance : 4.28e-07 [ 0.00 %]\n", + "Adjust : 0.832695 [ 22.53 %]\n", + "Total : 3.69548 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6556 426 145 10 5 \n", + "1 : 6588 425 117 8 4 \n", + "2 : 6521 464 141 10 6 \n", + "3 : 6543 462 120 12 5 \n", + "4 : 6580 429 115 12 6 \n", + "5 : 6592 417 124 5 4 \n", + "6 : 6560 436 136 2 8 \n", + "7 : 6499 484 137 15 7 \n", + "8 : 6581 418 124 10 9 \n", + "9 : 6561 419 136 17 9 \n", + "10 : 6534 462 127 13 6 \n", + "11 : 6545 431 147 13 6 \n", + "12 : 6594 407 121 13 7 \n", + "13 : 6550 466 122 11 5 \n", + "\n", + "T : 91804 6146 1812 151 87 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 4.6489e-02 sec\n", + "--- Collate = 1.0342e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.050041e-05 < 6.250000e-03 [46]\n", + "--- Max DT=3.042538e-01 > 1.000000e-01 [70062]\n", + "----------------------------------------------------------------------\n", + " Component | low: 46/100000\n", + " Component | high: 70062/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=21.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000441282 [ 0.01 %]\n", + "Velocity : 0.00608901 [ 0.18 %]\n", + "Force : 0.534162 [ 15.94 %]\n", + "Coefs : 2.08934 [ 62.37 %]\n", + "Output : 0.00153077 [ 0.05 %]\n", + "Levels : 0.0123748 [ 0.37 %]\n", + "Report : 1.3e-06 [ 0.00 %]\n", + "Balance : 4.6e-07 [ 0.00 %]\n", + "Adjust : 0.706049 [ 21.08 %]\n", + "Total : 3.35005 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6554 429 145 8 6 \n", + "1 : 6585 427 118 8 4 \n", + "2 : 6520 468 136 13 5 \n", + "3 : 6541 458 123 14 6 \n", + "4 : 6579 427 117 12 7 \n", + "5 : 6592 417 122 6 5 \n", + "6 : 6565 428 137 4 8 \n", + "7 : 6497 487 138 13 7 \n", + "8 : 6583 414 125 13 7 \n", + "9 : 6563 418 135 19 7 \n", + "10 : 6532 465 126 14 5 \n", + "11 : 6542 433 146 13 8 \n", + "12 : 6597 404 121 14 6 \n", + "13 : 6557 459 123 9 6 \n", + "\n", + "T : 91807 6134 1812 160 87 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 6.1407e-02 sec\n", + "--- Collate = 9.0375e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.220785e-05 < 6.250000e-03 [52]\n", + "--- Max DT=3.042919e-01 > 1.000000e-01 [70046]\n", + "----------------------------------------------------------------------\n", + " Component | low: 52/100000\n", + " Component | high: 70046/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=21.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000682509 [ 0.02 %]\n", + "Velocity : 0.00222349 [ 0.06 %]\n", + "Force : 0.605748 [ 16.99 %]\n", + "Coefs : 2.2489 [ 63.07 %]\n", + "Output : 0.00150744 [ 0.04 %]\n", + "Levels : 0.000288778 [ 0.01 %]\n", + "Report : 1.238e-06 [ 0.00 %]\n", + "Balance : 6.36e-07 [ 0.00 %]\n", + "Adjust : 0.706256 [ 19.81 %]\n", + "Total : 3.56566 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6554 425 149 8 6 \n", + "1 : 6584 427 119 7 5 \n", + "2 : 6526 456 142 11 7 \n", + "3 : 6545 448 130 13 6 \n", + "4 : 6575 436 112 13 6 \n", + "5 : 6587 419 122 9 5 \n", + "6 : 6568 426 136 5 7 \n", + "7 : 6494 488 142 12 6 \n", + "8 : 6587 410 125 12 8 \n", + "9 : 6565 419 133 16 9 \n", + "10 : 6530 467 124 16 5 \n", + "11 : 6542 433 145 14 8 \n", + "12 : 6596 406 120 12 8 \n", + "13 : 6556 462 121 9 6 \n", + "\n", + "T : 91809 6122 1820 157 92 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 7.5543e-02 sec\n", + "--- Collate = 1.2042e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.839424e-05 < 6.250000e-03 [54]\n", + "--- Max DT=3.043277e-01 > 1.000000e-01 [70005]\n", + "----------------------------------------------------------------------\n", + " Component | low: 54/100000\n", + " Component | high: 70005/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=22] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00048352 [ 0.01 %]\n", + "Velocity : 0.00158128 [ 0.04 %]\n", + "Force : 0.610161 [ 16.05 %]\n", + "Coefs : 2.29819 [ 60.44 %]\n", + "Output : 0.0086696 [ 0.23 %]\n", + "Levels : 0.000281201 [ 0.01 %]\n", + "Report : 1.484e-06 [ 0.00 %]\n", + "Balance : 6.37e-07 [ 0.00 %]\n", + "Adjust : 0.882781 [ 23.22 %]\n", + "Total : 3.8022 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6551 426 151 10 4 \n", + "1 : 6579 433 119 5 6 \n", + "2 : 6524 461 140 10 7 \n", + "3 : 6543 447 133 12 7 \n", + "4 : 6571 437 115 16 3 \n", + "5 : 6587 425 116 9 5 \n", + "6 : 6562 436 130 8 6 \n", + "7 : 6497 484 140 14 7 \n", + "8 : 6586 414 122 12 8 \n", + "9 : 6562 419 135 17 9 \n", + "10 : 6539 456 124 17 6 \n", + "11 : 6536 437 147 15 7 \n", + "12 : 6594 406 120 16 6 \n", + "13 : 6558 461 120 9 6 \n", + "\n", + "T : 91789 6142 1812 170 87 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 4.3146e-02 sec\n", + "--- Collate = 8.9801e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.506191e-05 < 6.250000e-03 [51]\n", + "--- Max DT=3.043600e-01 > 1.000000e-01 [69969]\n", + "----------------------------------------------------------------------\n", + " Component | low: 51/100000\n", + " Component | high: 69969/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=22.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000418724 [ 0.01 %]\n", + "Velocity : 0.00572285 [ 0.15 %]\n", + "Force : 0.626608 [ 15.92 %]\n", + "Coefs : 2.50485 [ 63.64 %]\n", + "Output : 0.00121041 [ 0.03 %]\n", + "Levels : 0.000389776 [ 0.01 %]\n", + "Report : 8.23e-07 [ 0.00 %]\n", + "Balance : 3.74e-07 [ 0.00 %]\n", + "Adjust : 0.796866 [ 20.25 %]\n", + "Total : 3.93611 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6549 427 151 8 7 \n", + "1 : 6580 434 118 4 6 \n", + "2 : 6527 460 140 10 5 \n", + "3 : 6543 446 135 9 9 \n", + "4 : 6566 444 115 14 3 \n", + "5 : 6587 421 120 8 6 \n", + "6 : 6560 433 135 8 6 \n", + "7 : 6498 481 143 10 10 \n", + "8 : 6585 417 118 14 8 \n", + "9 : 6562 418 133 20 9 \n", + "10 : 6533 459 127 18 5 \n", + "11 : 6534 442 145 12 9 \n", + "12 : 6588 411 121 16 6 \n", + "13 : 6556 463 119 8 8 \n", + "\n", + "T : 91768 6156 1820 159 97 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 44.4%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 7.3005e-02 sec\n", + "--- Collate = 1.3029e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.078410e-04 < 6.250000e-03 [46]\n", + "--- Max DT=3.043914e-01 > 1.000000e-01 [69960]\n", + "----------------------------------------------------------------------\n", + " Component | low: 46/100000\n", + " Component | high: 69960/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=22.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000834509 [ 0.03 %]\n", + "Velocity : 0.00269639 [ 0.09 %]\n", + "Force : 0.512711 [ 16.77 %]\n", + "Coefs : 1.91495 [ 62.63 %]\n", + "Output : 0.00170806 [ 0.06 %]\n", + "Levels : 0.00026761 [ 0.01 %]\n", + "Report : 5.38e-07 [ 0.00 %]\n", + "Balance : 6.19e-07 [ 0.00 %]\n", + "Adjust : 0.624529 [ 20.42 %]\n", + "Total : 3.05777 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6543 436 148 7 8 \n", + "1 : 6578 435 120 3 6 \n", + "2 : 6522 466 139 9 6 \n", + "3 : 6542 445 137 8 10 \n", + "4 : 6566 440 120 11 5 \n", + "5 : 6582 425 120 10 5 \n", + "6 : 6560 432 136 10 4 \n", + "7 : 6496 485 142 9 10 \n", + "8 : 6591 411 121 11 8 \n", + "9 : 6563 417 132 20 10 \n", + "10 : 6533 459 129 16 5 \n", + "11 : 6538 437 144 13 10 \n", + "12 : 6585 412 123 17 5 \n", + "13 : 6559 460 120 6 9 \n", + "\n", + "T : 91758 6160 1831 150 101 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 5.0898e-02 sec\n", + "--- Collate = 1.0019e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.184441e-04 < 6.250000e-03 [48]\n", + "--- Max DT=3.044209e-01 > 1.000000e-01 [69947]\n", + "----------------------------------------------------------------------\n", + " Component | low: 48/100000\n", + " Component | high: 69947/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=22.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000894874 [ 0.03 %]\n", + "Velocity : 0.00276238 [ 0.08 %]\n", + "Force : 0.595843 [ 17.47 %]\n", + "Coefs : 2.10608 [ 61.73 %]\n", + "Output : 0.00173166 [ 0.05 %]\n", + "Levels : 0.0003118 [ 0.01 %]\n", + "Report : 1.727e-06 [ 0.00 %]\n", + "Balance : 3.01e-07 [ 0.00 %]\n", + "Adjust : 0.703893 [ 20.63 %]\n", + "Total : 3.41158 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6544 439 144 7 8 \n", + "1 : 6578 432 122 5 5 \n", + "2 : 6510 476 141 10 5 \n", + "3 : 6541 451 131 10 9 \n", + "4 : 6563 443 120 9 7 \n", + "5 : 6579 422 126 10 5 \n", + "6 : 6554 441 131 13 3 \n", + "7 : 6500 476 147 8 11 \n", + "8 : 6589 410 124 11 8 \n", + "9 : 6561 418 132 21 10 \n", + "10 : 6531 460 130 14 7 \n", + "11 : 6538 440 140 12 12 \n", + "12 : 6586 410 124 15 7 \n", + "13 : 6560 458 122 4 10 \n", + "\n", + "T : 91734 6176 1834 149 107 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 3.5350e-02 sec\n", + "--- Collate = 8.0485e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.965855e-05 < 6.250000e-03 [53]\n", + "--- Max DT=3.044488e-01 > 1.000000e-01 [69905]\n", + "----------------------------------------------------------------------\n", + " Component | low: 53/100000\n", + " Component | high: 69905/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=22.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000857419 [ 0.03 %]\n", + "Velocity : 0.0023288 [ 0.07 %]\n", + "Force : 0.512053 [ 15.37 %]\n", + "Coefs : 2.08776 [ 62.65 %]\n", + "Output : 0.00160307 [ 0.05 %]\n", + "Levels : 0.00854149 [ 0.26 %]\n", + "Report : 7.94e-07 [ 0.00 %]\n", + "Balance : 3.9e-07 [ 0.00 %]\n", + "Adjust : 0.719372 [ 21.59 %]\n", + "Total : 3.33258 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6544 442 140 7 9 \n", + "1 : 6575 430 125 6 6 \n", + "2 : 6508 481 139 8 6 \n", + "3 : 6537 452 136 8 9 \n", + "4 : 6561 445 120 9 7 \n", + "5 : 6576 424 127 9 6 \n", + "6 : 6551 445 130 13 3 \n", + "7 : 6503 473 145 12 9 \n", + "8 : 6585 416 122 11 8 \n", + "9 : 6560 411 141 18 12 \n", + "10 : 6529 458 135 12 8 \n", + "11 : 6539 442 137 12 12 \n", + "12 : 6585 408 123 20 6 \n", + "13 : 6562 456 119 9 8 \n", + "\n", + "T : 91715 6183 1839 154 109 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 5.6324e-02 sec\n", + "--- Collate = 1.5011e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.154281e-05 < 6.250000e-03 [56]\n", + "--- Max DT=3.044742e-01 > 1.000000e-01 [69902]\n", + "----------------------------------------------------------------------\n", + " Component | low: 56/100000\n", + " Component | high: 69902/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=22.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000434925 [ 0.01 %]\n", + "Velocity : 0.00500276 [ 0.12 %]\n", + "Force : 0.679184 [ 16.74 %]\n", + "Coefs : 2.51862 [ 62.08 %]\n", + "Output : 0.00132151 [ 0.03 %]\n", + "Levels : 0.000310546 [ 0.01 %]\n", + "Report : 1.077e-06 [ 0.00 %]\n", + "Balance : 5.37e-07 [ 0.00 %]\n", + "Adjust : 0.851923 [ 21.00 %]\n", + "Total : 4.05685 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6539 449 138 9 7 \n", + "1 : 6574 434 122 6 6 \n", + "2 : 6507 482 139 9 5 \n", + "3 : 6547 443 135 9 8 \n", + "4 : 6559 446 122 9 6 \n", + "5 : 6577 422 126 13 4 \n", + "6 : 6548 444 134 11 5 \n", + "7 : 6501 470 151 13 7 \n", + "8 : 6585 414 121 13 9 \n", + "9 : 6557 417 137 17 14 \n", + "10 : 6529 457 136 13 7 \n", + "11 : 6540 443 134 13 12 \n", + "12 : 6581 411 124 19 7 \n", + "13 : 6557 458 122 9 8 \n", + "\n", + "T : 91701 6190 1841 163 105 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 6.8044e-02 sec\n", + "--- Collate = 1.3109e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.954067e-06 < 6.250000e-03 [66]\n", + "--- Max DT=3.044987e-01 > 1.000000e-01 [69881]\n", + "----------------------------------------------------------------------\n", + " Component | low: 66/100000\n", + " Component | high: 69881/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=22.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000669734 [ 0.02 %]\n", + "Velocity : 0.00225641 [ 0.06 %]\n", + "Force : 0.582842 [ 15.33 %]\n", + "Coefs : 2.42293 [ 63.72 %]\n", + "Output : 0.00116839 [ 0.03 %]\n", + "Levels : 0.000267214 [ 0.01 %]\n", + "Report : 5.04e-07 [ 0.00 %]\n", + "Balance : 4.59e-07 [ 0.00 %]\n", + "Adjust : 0.792352 [ 20.84 %]\n", + "Total : 3.80254 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6541 451 132 11 7 \n", + "1 : 6576 432 122 6 6 \n", + "2 : 6507 481 141 8 5 \n", + "3 : 6542 447 137 7 9 \n", + "4 : 6561 443 123 9 6 \n", + "5 : 6577 419 129 12 5 \n", + "6 : 6549 447 130 12 4 \n", + "7 : 6497 477 146 16 6 \n", + "8 : 6580 417 119 19 7 \n", + "9 : 6557 418 138 16 13 \n", + "10 : 6527 460 136 11 8 \n", + "11 : 6534 450 136 11 11 \n", + "12 : 6585 407 124 18 8 \n", + "13 : 6554 459 123 10 8 \n", + "\n", + "T : 91687 6208 1836 166 103 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 4.6868e-02 sec\n", + "--- Collate = 2.3981e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.753780e-06 < 6.250000e-03 [58]\n", + "--- Max DT=3.045213e-01 > 1.000000e-01 [69870]\n", + "----------------------------------------------------------------------\n", + " Component | low: 58/100000\n", + " Component | high: 69870/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=22.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00068219 [ 0.02 %]\n", + "Velocity : 0.0067769 [ 0.19 %]\n", + "Force : 0.589797 [ 16.60 %]\n", + "Coefs : 2.24907 [ 63.31 %]\n", + "Output : 0.0014894 [ 0.04 %]\n", + "Levels : 0.000302828 [ 0.01 %]\n", + "Report : 1.172e-06 [ 0.00 %]\n", + "Balance : 3.39e-07 [ 0.00 %]\n", + "Adjust : 0.704127 [ 19.82 %]\n", + "Total : 3.55231 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6540 446 135 14 7 \n", + "1 : 6573 431 127 6 5 \n", + "2 : 6510 477 140 9 6 \n", + "3 : 6545 443 138 9 7 \n", + "4 : 6560 444 124 9 5 \n", + "5 : 6578 423 124 11 6 \n", + "6 : 6551 444 130 12 5 \n", + "7 : 6496 483 140 16 7 \n", + "8 : 6574 427 115 19 7 \n", + "9 : 6560 417 138 15 12 \n", + "10 : 6524 463 138 9 8 \n", + "11 : 6536 450 136 9 11 \n", + "12 : 6584 405 129 15 9 \n", + "13 : 6554 463 119 9 9 \n", + "\n", + "T : 91685 6216 1833 162 104 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 6.3409e-02 sec\n", + "--- Collate = 1.0017e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.144397e-05 < 6.250000e-03 [60]\n", + "--- Max DT=3.045418e-01 > 1.000000e-01 [69837]\n", + "----------------------------------------------------------------------\n", + " Component | low: 60/100000\n", + " Component | high: 69837/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=22.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00111746 [ 0.03 %]\n", + "Velocity : 0.00264602 [ 0.07 %]\n", + "Force : 0.745465 [ 18.93 %]\n", + "Coefs : 2.358 [ 59.87 %]\n", + "Output : 0.0018107 [ 0.05 %]\n", + "Levels : 0.000789029 [ 0.02 %]\n", + "Report : 8.95e-07 [ 0.00 %]\n", + "Balance : 2.83e-07 [ 0.00 %]\n", + "Adjust : 0.828413 [ 21.03 %]\n", + "Total : 3.93831 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6539 445 136 15 7 \n", + "1 : 6573 429 128 7 5 \n", + "2 : 6512 475 140 8 7 \n", + "3 : 6542 450 133 10 7 \n", + "4 : 6558 448 121 9 6 \n", + "5 : 6577 420 129 10 6 \n", + "6 : 6552 443 129 11 7 \n", + "7 : 6499 477 144 16 6 \n", + "8 : 6570 433 113 20 6 \n", + "9 : 6557 420 136 14 15 \n", + "10 : 6523 470 133 9 7 \n", + "11 : 6533 456 132 11 10 \n", + "12 : 6583 410 124 15 10 \n", + "13 : 6553 469 115 9 8 \n", + "\n", + "T : 91671 6245 1813 164 107 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 6.3360e-02 sec\n", + "--- Collate = 9.0322e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.810926e-04 < 6.250000e-03 [65]\n", + "--- Max DT=3.045598e-01 > 1.000000e-01 [69843]\n", + "----------------------------------------------------------------------\n", + " Component | low: 65/100000\n", + " Component | high: 69843/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=22.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000436505 [ 0.01 %]\n", + "Velocity : 0.00372802 [ 0.08 %]\n", + "Force : 0.691694 [ 15.66 %]\n", + "Coefs : 2.76322 [ 62.55 %]\n", + "Output : 0.00149369 [ 0.03 %]\n", + "Levels : 0.000380421 [ 0.01 %]\n", + "Report : 8.42e-07 [ 0.00 %]\n", + "Balance : 3.34e-07 [ 0.00 %]\n", + "Adjust : 0.956309 [ 21.65 %]\n", + "Total : 4.41732 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6539 446 135 15 7 \n", + "1 : 6568 434 127 7 6 \n", + "2 : 6512 476 137 13 4 \n", + "3 : 6545 446 135 9 7 \n", + "4 : 6553 454 120 8 7 \n", + "5 : 6576 420 130 10 6 \n", + "6 : 6551 441 133 10 7 \n", + "7 : 6498 478 144 15 7 \n", + "8 : 6574 427 117 18 6 \n", + "9 : 6557 423 131 16 15 \n", + "10 : 6526 471 126 12 7 \n", + "11 : 6531 458 132 13 8 \n", + "12 : 6577 417 125 12 11 \n", + "13 : 6555 462 121 9 7 \n", + "\n", + "T : 91662 6253 1813 167 105 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 6.2527e-02 sec\n", + "--- Collate = 1.0043e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.661831e-05 < 6.250000e-03 [60]\n", + "--- Max DT=3.045744e-01 > 1.000000e-01 [69827]\n", + "----------------------------------------------------------------------\n", + " Component | low: 60/100000\n", + " Component | high: 69827/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=23] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000887858 [ 0.02 %]\n", + "Velocity : 0.00261952 [ 0.06 %]\n", + "Force : 0.743875 [ 17.73 %]\n", + "Coefs : 2.67474 [ 63.74 %]\n", + "Output : 0.0148861 [ 0.35 %]\n", + "Levels : 0.000239789 [ 0.01 %]\n", + "Report : 1.3e-06 [ 0.00 %]\n", + "Balance : 5.85e-07 [ 0.00 %]\n", + "Adjust : 0.759034 [ 18.09 %]\n", + "Total : 4.19634 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6541 441 140 12 8 \n", + "1 : 6570 436 123 7 6 \n", + "2 : 6506 479 140 14 3 \n", + "3 : 6543 450 133 10 6 \n", + "4 : 6551 455 120 8 8 \n", + "5 : 6577 416 132 12 5 \n", + "6 : 6553 437 134 12 6 \n", + "7 : 6501 474 144 16 7 \n", + "8 : 6573 430 112 20 7 \n", + "9 : 6557 425 126 18 16 \n", + "10 : 6525 469 128 14 6 \n", + "11 : 6533 455 136 11 7 \n", + "12 : 6572 421 128 10 11 \n", + "13 : 6552 465 121 10 6 \n", + "\n", + "T : 91654 6253 1817 174 102 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 9.7509e-02 sec\n", + "--- Collate = 1.1038e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.173226e-04 < 6.250000e-03 [55]\n", + "--- Max DT=3.045873e-01 > 1.000000e-01 [69817]\n", + "----------------------------------------------------------------------\n", + " Component | low: 55/100000\n", + " Component | high: 69817/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=23.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000731954 [ 0.02 %]\n", + "Velocity : 0.00609251 [ 0.14 %]\n", + "Force : 0.683604 [ 15.22 %]\n", + "Coefs : 2.87357 [ 64.00 %]\n", + "Output : 0.00145054 [ 0.03 %]\n", + "Levels : 0.000410733 [ 0.01 %]\n", + "Report : 1.291e-06 [ 0.00 %]\n", + "Balance : 5.84e-07 [ 0.00 %]\n", + "Adjust : 0.924344 [ 20.59 %]\n", + "Total : 4.49027 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6540 446 136 13 7 \n", + "1 : 6572 433 122 9 6 \n", + "2 : 6505 476 144 13 4 \n", + "3 : 6545 448 131 10 8 \n", + "4 : 6556 451 120 7 8 \n", + "5 : 6582 413 133 10 4 \n", + "6 : 6547 443 135 12 5 \n", + "7 : 6496 478 145 16 7 \n", + "8 : 6575 428 112 18 9 \n", + "9 : 6555 424 129 20 14 \n", + "10 : 6524 470 128 16 4 \n", + "11 : 6536 453 133 13 7 \n", + "12 : 6576 411 134 10 11 \n", + "13 : 6550 460 127 10 7 \n", + "\n", + "T : 91659 6234 1829 177 101 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 4.1068e-02 sec\n", + "--- Collate = 8.0145e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.460573e-05 < 6.250000e-03 [53]\n", + "--- Max DT=3.045996e-01 > 1.000000e-01 [69809]\n", + "----------------------------------------------------------------------\n", + " Component | low: 53/100000\n", + " Component | high: 69809/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=23.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00112387 [ 0.03 %]\n", + "Velocity : 0.00267575 [ 0.07 %]\n", + "Force : 0.635969 [ 17.10 %]\n", + "Coefs : 2.34959 [ 63.17 %]\n", + "Output : 0.00120301 [ 0.03 %]\n", + "Levels : 0.000280004 [ 0.01 %]\n", + "Report : 1.146e-06 [ 0.00 %]\n", + "Balance : 3.56e-07 [ 0.00 %]\n", + "Adjust : 0.728481 [ 19.59 %]\n", + "Total : 3.71937 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6539 446 135 15 7 \n", + "1 : 6570 437 117 12 6 \n", + "2 : 6508 471 147 11 5 \n", + "3 : 6545 451 128 10 8 \n", + "4 : 6549 461 115 10 7 \n", + "5 : 6581 415 132 10 4 \n", + "6 : 6546 441 137 13 5 \n", + "7 : 6496 478 145 17 6 \n", + "8 : 6570 434 112 18 8 \n", + "9 : 6559 419 130 19 15 \n", + "10 : 6517 476 128 19 2 \n", + "11 : 6534 457 133 11 7 \n", + "12 : 6575 408 139 6 14 \n", + "13 : 6552 456 129 12 5 \n", + "\n", + "T : 91641 6250 1827 183 99 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.7533e-02 sec\n", + "--- Collate = 7.0155e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.441209e-05 < 6.250000e-03 [51]\n", + "--- Max DT=3.046079e-01 > 1.000000e-01 [69791]\n", + "----------------------------------------------------------------------\n", + " Component | low: 51/100000\n", + " Component | high: 69791/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=23.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000379553 [ 0.01 %]\n", + "Velocity : 0.00171017 [ 0.04 %]\n", + "Force : 0.7292 [ 17.40 %]\n", + "Coefs : 2.56351 [ 61.16 %]\n", + "Output : 0.00139091 [ 0.03 %]\n", + "Levels : 0.000277054 [ 0.01 %]\n", + "Report : 7.05e-07 [ 0.00 %]\n", + "Balance : 2.61e-07 [ 0.00 %]\n", + "Adjust : 0.894964 [ 21.35 %]\n", + "Total : 4.19149 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6541 452 131 9 9 \n", + "1 : 6571 434 118 11 8 \n", + "2 : 6504 477 147 10 4 \n", + "3 : 6545 448 130 11 8 \n", + "4 : 6548 469 108 12 5 \n", + "5 : 6584 411 131 12 4 \n", + "6 : 6542 441 139 15 5 \n", + "7 : 6494 479 145 16 8 \n", + "8 : 6565 436 113 19 9 \n", + "9 : 6558 419 131 23 11 \n", + "10 : 6521 473 127 18 3 \n", + "11 : 6530 460 132 13 7 \n", + "12 : 6570 416 136 9 11 \n", + "13 : 6553 455 129 10 7 \n", + "\n", + "T : 91626 6270 1817 188 99 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 47.4%\n", + "--- Adj/Tot = 0.3%\n", + "--- Update = 4.9917e-02 sec\n", + "--- Collate = 1.2043e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.282667e-05 < 6.250000e-03 [51]\n", + "--- Max DT=3.046143e-01 > 1.000000e-01 [69795]\n", + "----------------------------------------------------------------------\n", + " Component | low: 51/100000\n", + " Component | high: 69795/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=23.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000803719 [ 0.02 %]\n", + "Velocity : 0.00676728 [ 0.17 %]\n", + "Force : 0.630363 [ 15.91 %]\n", + "Coefs : 2.49154 [ 62.87 %]\n", + "Output : 0.00163405 [ 0.04 %]\n", + "Levels : 0.000390152 [ 0.01 %]\n", + "Report : 1.202e-06 [ 0.00 %]\n", + "Balance : 3.38e-07 [ 0.00 %]\n", + "Adjust : 0.83118 [ 20.97 %]\n", + "Total : 3.96274 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6539 458 129 6 10 \n", + "1 : 6567 435 119 15 6 \n", + "2 : 6504 481 141 10 6 \n", + "3 : 6545 444 134 10 9 \n", + "4 : 6543 475 104 15 5 \n", + "5 : 6588 410 129 9 6 \n", + "6 : 6536 451 132 18 5 \n", + "7 : 6493 481 142 17 9 \n", + "8 : 6566 433 115 20 8 \n", + "9 : 6564 414 127 25 12 \n", + "10 : 6516 475 131 17 3 \n", + "11 : 6535 456 130 16 5 \n", + "12 : 6574 412 136 8 12 \n", + "13 : 6552 457 129 10 6 \n", + "\n", + "T : 91622 6282 1798 196 102 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 8.3154e-02 sec\n", + "--- Collate = 2.7196e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.429262e-05 < 6.250000e-03 [48]\n", + "--- Max DT=3.046181e-01 > 1.000000e-01 [69786]\n", + "----------------------------------------------------------------------\n", + " Component | low: 48/100000\n", + " Component | high: 69786/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=23.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00571809 [ 0.13 %]\n", + "Velocity : 0.00221888 [ 0.05 %]\n", + "Force : 0.727447 [ 16.00 %]\n", + "Coefs : 2.88506 [ 63.47 %]\n", + "Output : 0.00153338 [ 0.03 %]\n", + "Levels : 0.00028506 [ 0.01 %]\n", + "Report : 1.572e-06 [ 0.00 %]\n", + "Balance : 4.01e-07 [ 0.00 %]\n", + "Adjust : 0.923219 [ 20.31 %]\n", + "Total : 4.54555 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6536 463 127 4 12 \n", + "1 : 6570 433 119 14 6 \n", + "2 : 6503 482 141 10 6 \n", + "3 : 6546 442 134 10 10 \n", + "4 : 6548 471 102 16 5 \n", + "5 : 6587 411 128 13 3 \n", + "6 : 6534 454 134 14 6 \n", + "7 : 6496 475 143 18 10 \n", + "8 : 6560 436 117 19 10 \n", + "9 : 6564 412 131 22 13 \n", + "10 : 6513 476 132 18 3 \n", + "11 : 6532 458 132 15 5 \n", + "12 : 6569 417 136 8 12 \n", + "13 : 6549 458 131 10 6 \n", + "\n", + "T : 91607 6288 1807 191 107 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 4.0219e-02 sec\n", + "--- Collate = 6.9561e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.883938e-06 < 6.250000e-03 [49]\n", + "--- Max DT=3.046201e-01 > 1.000000e-01 [69788]\n", + "----------------------------------------------------------------------\n", + " Component | low: 49/100000\n", + " Component | high: 69788/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=23.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000508502 [ 0.01 %]\n", + "Velocity : 0.00213323 [ 0.05 %]\n", + "Force : 0.722592 [ 17.96 %]\n", + "Coefs : 2.45893 [ 61.13 %]\n", + "Output : 0.00147204 [ 0.04 %]\n", + "Levels : 0.000304523 [ 0.01 %]\n", + "Report : 9.06e-07 [ 0.00 %]\n", + "Balance : 3.4e-07 [ 0.00 %]\n", + "Adjust : 0.836371 [ 20.79 %]\n", + "Total : 4.02237 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6536 462 127 7 10 \n", + "1 : 6572 429 121 14 6 \n", + "2 : 6498 489 137 12 6 \n", + "3 : 6547 444 131 11 9 \n", + "4 : 6548 471 102 17 4 \n", + "5 : 6583 415 127 13 4 \n", + "6 : 6532 458 130 15 7 \n", + "7 : 6494 479 143 16 10 \n", + "8 : 6556 438 120 18 10 \n", + "9 : 6568 412 128 21 13 \n", + "10 : 6509 482 130 18 3 \n", + "11 : 6531 457 132 16 6 \n", + "12 : 6567 419 137 10 9 \n", + "13 : 6549 455 133 11 6 \n", + "\n", + "T : 91590 6310 1798 199 103 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 29.3%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 4.4345e-02 sec\n", + "--- Collate = 4.0233e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.277269e-06 < 6.250000e-03 [54]\n", + "--- Max DT=3.046181e-01 > 1.000000e-01 [69784]\n", + "----------------------------------------------------------------------\n", + " Component | low: 54/100000\n", + " Component | high: 69784/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=23.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000799485 [ 0.02 %]\n", + "Velocity : 0.00225355 [ 0.06 %]\n", + "Force : 0.627584 [ 16.54 %]\n", + "Coefs : 2.37436 [ 62.59 %]\n", + "Output : 0.00162585 [ 0.04 %]\n", + "Levels : 0.000351991 [ 0.01 %]\n", + "Report : 8.89e-07 [ 0.00 %]\n", + "Balance : 3.51e-07 [ 0.00 %]\n", + "Adjust : 0.786683 [ 20.74 %]\n", + "Total : 3.79372 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6538 461 126 9 8 \n", + "1 : 6570 435 117 15 5 \n", + "2 : 6498 488 139 11 6 \n", + "3 : 6547 443 131 11 10 \n", + "4 : 6545 472 105 15 5 \n", + "5 : 6583 413 128 13 5 \n", + "6 : 6529 463 127 14 9 \n", + "7 : 6493 482 139 19 9 \n", + "8 : 6554 440 122 16 10 \n", + "9 : 6568 412 128 21 13 \n", + "10 : 6509 482 129 19 3 \n", + "11 : 6529 458 132 17 6 \n", + "12 : 6560 428 135 10 9 \n", + "13 : 6546 458 132 13 5 \n", + "\n", + "T : 91569 6335 1790 203 103 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 5.3513e-02 sec\n", + "--- Collate = 2.8900e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.937013e-05 < 6.250000e-03 [60]\n", + "--- Max DT=3.046160e-01 > 1.000000e-01 [69779]\n", + "----------------------------------------------------------------------\n", + " Component | low: 60/100000\n", + " Component | high: 69779/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=23.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000703605 [ 0.02 %]\n", + "Velocity : 0.00188059 [ 0.05 %]\n", + "Force : 0.55127 [ 15.82 %]\n", + "Coefs : 2.21315 [ 63.52 %]\n", + "Output : 0.00145274 [ 0.04 %]\n", + "Levels : 0.000337432 [ 0.01 %]\n", + "Report : 6.86e-07 [ 0.00 %]\n", + "Balance : 3.66e-07 [ 0.00 %]\n", + "Adjust : 0.715469 [ 20.53 %]\n", + "Total : 3.48432 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6531 471 122 12 6 \n", + "1 : 6568 433 123 13 5 \n", + "2 : 6495 494 135 11 7 \n", + "3 : 6547 439 137 11 8 \n", + "4 : 6546 470 105 14 7 \n", + "5 : 6579 419 126 14 4 \n", + "6 : 6531 459 132 11 9 \n", + "7 : 6486 489 139 15 13 \n", + "8 : 6552 436 127 16 11 \n", + "9 : 6566 417 126 21 12 \n", + "10 : 6503 492 127 15 5 \n", + "11 : 6529 458 135 14 6 \n", + "12 : 6557 438 127 11 9 \n", + "13 : 6541 464 131 13 5 \n", + "\n", + "T : 91531 6379 1792 191 107 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 4.8665e-02 sec\n", + "--- Collate = 1.3510e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.361905e-05 < 6.250000e-03 [54]\n", + "--- Max DT=3.046100e-01 > 1.000000e-01 [69791]\n", + "----------------------------------------------------------------------\n", + " Component | low: 54/100000\n", + " Component | high: 69791/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=23.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000350047 [ 0.01 %]\n", + "Velocity : 0.00102943 [ 0.03 %]\n", + "Force : 0.504365 [ 14.78 %]\n", + "Coefs : 2.25344 [ 66.02 %]\n", + "Output : 0.000892946 [ 0.03 %]\n", + "Levels : 0.000139382 [ 0.00 %]\n", + "Report : 4.52e-07 [ 0.00 %]\n", + "Balance : 1.12e-07 [ 0.00 %]\n", + "Adjust : 0.652802 [ 19.13 %]\n", + "Total : 3.41305 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6527 476 119 13 7 \n", + "1 : 6562 439 126 10 5 \n", + "2 : 6490 501 134 10 7 \n", + "3 : 6545 443 134 11 9 \n", + "4 : 6550 467 103 14 8 \n", + "5 : 6576 421 129 12 4 \n", + "6 : 6531 459 132 12 8 \n", + "7 : 6491 485 136 15 15 \n", + "8 : 6551 441 122 18 10 \n", + "9 : 6572 410 127 21 12 \n", + "10 : 6501 496 125 13 7 \n", + "11 : 6534 456 133 11 8 \n", + "12 : 6550 444 128 9 11 \n", + "13 : 6540 464 130 15 5 \n", + "\n", + "T : 91520 6402 1778 184 116 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 4.3791e-02 sec\n", + "--- Collate = 7.0145e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.413192e-05 < 6.250000e-03 [64]\n", + "--- Max DT=3.046016e-01 > 1.000000e-01 [69798]\n", + "----------------------------------------------------------------------\n", + " Component | low: 64/100000\n", + " Component | high: 69798/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=24] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000163972 [ 0.01 %]\n", + "Velocity : 0.000662816 [ 0.02 %]\n", + "Force : 0.488017 [ 15.98 %]\n", + "Coefs : 1.95507 [ 64.04 %]\n", + "Output : 0.00287668 [ 0.09 %]\n", + "Levels : 0.0082637 [ 0.27 %]\n", + "Report : 4.54e-07 [ 0.00 %]\n", + "Balance : 2.69e-07 [ 0.00 %]\n", + "Adjust : 0.598028 [ 19.59 %]\n", + "Total : 3.05311 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6526 478 114 18 6 \n", + "1 : 6556 445 127 10 4 \n", + "2 : 6490 502 134 10 6 \n", + "3 : 6538 450 134 9 11 \n", + "4 : 6548 466 106 13 9 \n", + "5 : 6577 421 127 13 4 \n", + "6 : 6534 456 133 12 7 \n", + "7 : 6488 487 138 12 17 \n", + "8 : 6547 446 120 15 14 \n", + "9 : 6568 413 129 22 10 \n", + "10 : 6500 500 122 12 8 \n", + "11 : 6534 458 130 12 8 \n", + "12 : 6548 444 129 9 12 \n", + "13 : 6533 473 128 16 4 \n", + "\n", + "T : 91487 6439 1771 183 120 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 4.5823e-02 sec\n", + "--- Collate = 7.0162e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.916800e-06 < 6.250000e-03 [64]\n", + "--- Max DT=3.045904e-01 > 1.000000e-01 [69827]\n", + "----------------------------------------------------------------------\n", + " Component | low: 64/100000\n", + " Component | high: 69827/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=24.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000225412 [ 0.01 %]\n", + "Velocity : 0.000618392 [ 0.02 %]\n", + "Force : 0.471023 [ 15.58 %]\n", + "Coefs : 1.89653 [ 62.73 %]\n", + "Output : 0.00053338 [ 0.02 %]\n", + "Levels : 0.000155894 [ 0.01 %]\n", + "Report : 5.5e-07 [ 0.00 %]\n", + "Balance : 5.57e-07 [ 0.00 %]\n", + "Adjust : 0.654018 [ 21.63 %]\n", + "Total : 3.02313 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6519 485 111 22 5 \n", + "1 : 6559 441 128 10 4 \n", + "2 : 6489 504 133 10 6 \n", + "3 : 6536 453 134 8 11 \n", + "4 : 6544 471 107 11 9 \n", + "5 : 6576 425 124 12 5 \n", + "6 : 6534 455 135 11 7 \n", + "7 : 6492 486 135 12 17 \n", + "8 : 6546 448 120 16 12 \n", + "9 : 6566 418 128 18 12 \n", + "10 : 6497 503 122 12 8 \n", + "11 : 6533 458 128 13 10 \n", + "12 : 6539 456 125 9 13 \n", + "13 : 6534 473 128 14 5 \n", + "\n", + "T : 91464 6476 1758 178 124 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 3.5608e-02 sec\n", + "--- Collate = 5.0080e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.196589e-06 < 6.250000e-03 [66]\n", + "--- Max DT=3.045764e-01 > 1.000000e-01 [69841]\n", + "----------------------------------------------------------------------\n", + " Component | low: 66/100000\n", + " Component | high: 69841/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=24.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000177907 [ 0.01 %]\n", + "Velocity : 0.000792957 [ 0.03 %]\n", + "Force : 0.484659 [ 15.89 %]\n", + "Coefs : 1.93351 [ 63.40 %]\n", + "Output : 0.000661748 [ 0.02 %]\n", + "Levels : 0.000164555 [ 0.01 %]\n", + "Report : 5.1e-07 [ 0.00 %]\n", + "Balance : 3.03e-07 [ 0.00 %]\n", + "Adjust : 0.629662 [ 20.65 %]\n", + "Total : 3.04966 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6516 484 116 21 5 \n", + "1 : 6553 445 129 11 4 \n", + "2 : 6481 509 133 11 8 \n", + "3 : 6535 455 133 10 9 \n", + "4 : 6542 472 109 10 9 \n", + "5 : 6584 421 118 14 5 \n", + "6 : 6534 456 134 10 8 \n", + "7 : 6491 486 135 17 13 \n", + "8 : 6544 453 120 13 12 \n", + "9 : 6566 418 127 18 13 \n", + "10 : 6495 505 123 12 7 \n", + "11 : 6534 453 135 10 10 \n", + "12 : 6535 460 123 12 12 \n", + "13 : 6534 470 130 16 4 \n", + "\n", + "T : 91444 6487 1765 185 119 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 5.4784e-02 sec\n", + "--- Collate = 4.0166e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.698086e-05 < 6.250000e-03 [65]\n", + "--- Max DT=3.045618e-01 > 1.000000e-01 [69846]\n", + "----------------------------------------------------------------------\n", + " Component | low: 65/100000\n", + " Component | high: 69846/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=24.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000169344 [ 0.00 %]\n", + "Velocity : 0.000723027 [ 0.02 %]\n", + "Force : 0.554403 [ 16.24 %]\n", + "Coefs : 2.15315 [ 63.06 %]\n", + "Output : 0.000710999 [ 0.02 %]\n", + "Levels : 0.000371631 [ 0.01 %]\n", + "Report : 5.11e-07 [ 0.00 %]\n", + "Balance : 1.5e-07 [ 0.00 %]\n", + "Adjust : 0.704934 [ 20.65 %]\n", + "Total : 3.41449 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6517 479 120 20 6 \n", + "1 : 6551 447 131 9 4 \n", + "2 : 6479 508 135 11 9 \n", + "3 : 6532 458 131 13 8 \n", + "4 : 6540 475 108 12 7 \n", + "5 : 6576 429 118 13 6 \n", + "6 : 6529 465 130 11 7 \n", + "7 : 6489 488 137 17 11 \n", + "8 : 6545 450 121 13 13 \n", + "9 : 6554 432 126 19 11 \n", + "10 : 6492 507 121 14 8 \n", + "11 : 6533 454 136 10 9 \n", + "12 : 6530 462 127 14 9 \n", + "13 : 6535 469 130 15 5 \n", + "\n", + "T : 91402 6523 1771 191 113 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 6.6823e-02 sec\n", + "--- Collate = 7.0094e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.305192e-04 < 6.250000e-03 [60]\n", + "--- Max DT=3.045432e-01 > 1.000000e-01 [69848]\n", + "----------------------------------------------------------------------\n", + " Component | low: 60/100000\n", + " Component | high: 69848/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=24.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000264359 [ 0.01 %]\n", + "Velocity : 0.000909037 [ 0.02 %]\n", + "Force : 0.591538 [ 15.94 %]\n", + "Coefs : 2.36457 [ 63.73 %]\n", + "Output : 0.000783428 [ 0.02 %]\n", + "Levels : 0.000134218 [ 0.00 %]\n", + "Report : 5.91e-07 [ 0.00 %]\n", + "Balance : 3.05e-07 [ 0.00 %]\n", + "Adjust : 0.752229 [ 20.27 %]\n", + "Total : 3.71051 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6515 486 113 23 5 \n", + "1 : 6550 450 130 7 5 \n", + "2 : 6474 517 130 12 9 \n", + "3 : 6522 468 132 12 8 \n", + "4 : 6541 477 105 12 7 \n", + "5 : 6577 427 118 13 7 \n", + "6 : 6522 474 129 10 7 \n", + "7 : 6493 483 139 16 11 \n", + "8 : 6543 456 115 14 14 \n", + "9 : 6553 435 127 17 10 \n", + "10 : 6494 502 123 13 10 \n", + "11 : 6531 455 135 14 7 \n", + "12 : 6528 466 126 13 9 \n", + "13 : 6533 466 136 15 4 \n", + "\n", + "T : 91376 6562 1758 191 113 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 8.4510e-02 sec\n", + "--- Collate = 3.2093e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.243550e-06 < 6.250000e-03 [52]\n", + "--- Max DT=3.045222e-01 > 1.000000e-01 [69835]\n", + "----------------------------------------------------------------------\n", + " Component | low: 52/100000\n", + " Component | high: 69835/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=24.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000407493 [ 0.01 %]\n", + "Velocity : 0.00173743 [ 0.04 %]\n", + "Force : 0.781026 [ 17.35 %]\n", + "Coefs : 2.85961 [ 63.51 %]\n", + "Output : 0.00149322 [ 0.03 %]\n", + "Levels : 0.000287358 [ 0.01 %]\n", + "Report : 6.55e-07 [ 0.00 %]\n", + "Balance : 3.08e-07 [ 0.00 %]\n", + "Adjust : 0.857663 [ 19.05 %]\n", + "Total : 4.50228 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6513 486 119 17 7 \n", + "1 : 6544 456 125 12 5 \n", + "2 : 6469 520 134 13 6 \n", + "3 : 6516 473 131 14 8 \n", + "4 : 6542 476 105 10 9 \n", + "5 : 6581 423 118 12 8 \n", + "6 : 6517 483 124 9 9 \n", + "7 : 6489 487 139 15 12 \n", + "8 : 6535 467 111 17 12 \n", + "9 : 6543 443 127 18 11 \n", + "10 : 6486 511 120 15 10 \n", + "11 : 6525 460 134 15 8 \n", + "12 : 6526 470 125 12 9 \n", + "13 : 6529 470 137 14 4 \n", + "\n", + "T : 91315 6625 1749 193 118 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 6.8461e-02 sec\n", + "--- Collate = 5.0061e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.350920e-05 < 6.250000e-03 [58]\n", + "--- Max DT=3.044987e-01 > 1.000000e-01 [69830]\n", + "----------------------------------------------------------------------\n", + " Component | low: 58/100000\n", + " Component | high: 69830/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=24.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000627606 [ 0.01 %]\n", + "Velocity : 0.00145353 [ 0.03 %]\n", + "Force : 0.748859 [ 16.36 %]\n", + "Coefs : 2.88423 [ 63.01 %]\n", + "Output : 0.00109634 [ 0.02 %]\n", + "Levels : 0.000251825 [ 0.01 %]\n", + "Report : 8.51e-07 [ 0.00 %]\n", + "Balance : 5.8e-07 [ 0.00 %]\n", + "Adjust : 0.940816 [ 20.55 %]\n", + "Total : 4.57739 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6504 495 121 15 7 \n", + "1 : 6542 456 127 11 6 \n", + "2 : 6472 516 135 11 8 \n", + "3 : 6513 479 126 16 8 \n", + "4 : 6535 485 101 11 10 \n", + "5 : 6578 427 118 10 9 \n", + "6 : 6513 490 122 9 8 \n", + "7 : 6488 487 139 17 11 \n", + "8 : 6531 470 112 15 14 \n", + "9 : 6546 439 129 16 12 \n", + "10 : 6482 511 123 17 9 \n", + "11 : 6523 466 128 17 8 \n", + "12 : 6523 474 122 14 9 \n", + "13 : 6527 475 132 16 4 \n", + "\n", + "T : 91277 6670 1735 195 123 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 5.6530e-02 sec\n", + "--- Collate = 8.0237e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.428467e-04 < 6.250000e-03 [55]\n", + "--- Max DT=3.044734e-01 > 1.000000e-01 [69838]\n", + "----------------------------------------------------------------------\n", + " Component | low: 55/100000\n", + " Component | high: 69838/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=24.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000403498 [ 0.01 %]\n", + "Velocity : 0.00130543 [ 0.03 %]\n", + "Force : 0.665836 [ 17.01 %]\n", + "Coefs : 2.48579 [ 63.52 %]\n", + "Output : 0.000858547 [ 0.02 %]\n", + "Levels : 0.00028476 [ 0.01 %]\n", + "Report : 1.115e-06 [ 0.00 %]\n", + "Balance : 6.19e-07 [ 0.00 %]\n", + "Adjust : 0.758704 [ 19.39 %]\n", + "Total : 3.91325 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6496 502 119 17 8 \n", + "1 : 6543 454 129 10 6 \n", + "2 : 6468 521 133 11 9 \n", + "3 : 6510 483 125 16 8 \n", + "4 : 6527 496 96 15 8 \n", + "5 : 6568 437 118 10 9 \n", + "6 : 6512 493 118 12 7 \n", + "7 : 6487 487 141 13 14 \n", + "8 : 6527 473 115 11 16 \n", + "9 : 6546 435 130 18 13 \n", + "10 : 6483 509 123 20 7 \n", + "11 : 6520 471 128 15 8 \n", + "12 : 6520 476 121 18 7 \n", + "13 : 6523 481 130 17 3 \n", + "\n", + "T : 91230 6718 1726 203 123 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 6.8636e-02 sec\n", + "--- Collate = 7.0197e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.636158e-05 < 6.250000e-03 [56]\n", + "--- Max DT=3.044465e-01 > 1.000000e-01 [69838]\n", + "----------------------------------------------------------------------\n", + " Component | low: 56/100000\n", + " Component | high: 69838/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=24.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000498716 [ 0.01 %]\n", + "Velocity : 0.00132572 [ 0.03 %]\n", + "Force : 0.713943 [ 16.62 %]\n", + "Coefs : 2.65664 [ 61.85 %]\n", + "Output : 0.000858994 [ 0.02 %]\n", + "Levels : 0.000217936 [ 0.01 %]\n", + "Report : 1.193e-06 [ 0.00 %]\n", + "Balance : 4.39e-07 [ 0.00 %]\n", + "Adjust : 0.92181 [ 21.46 %]\n", + "Total : 4.29535 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6499 500 121 14 8 \n", + "1 : 6539 455 132 12 4 \n", + "2 : 6464 524 132 12 10 \n", + "3 : 6499 490 130 15 8 \n", + "4 : 6525 500 95 14 8 \n", + "5 : 6565 444 113 12 8 \n", + "6 : 6503 501 118 13 7 \n", + "7 : 6490 486 136 17 13 \n", + "8 : 6523 478 111 15 15 \n", + "9 : 6546 439 126 19 12 \n", + "10 : 6486 504 125 20 7 \n", + "11 : 6514 477 127 17 7 \n", + "12 : 6519 481 116 19 7 \n", + "13 : 6519 486 130 16 3 \n", + "\n", + "T : 91191 6765 1712 215 117 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 1.4377e-01 sec\n", + "--- Collate = 2.0189e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.647150e-05 < 6.250000e-03 [57]\n", + "--- Max DT=3.044158e-01 > 1.000000e-01 [69848]\n", + "----------------------------------------------------------------------\n", + " Component | low: 57/100000\n", + " Component | high: 69848/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=24.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000448976 [ 0.01 %]\n", + "Velocity : 0.00201483 [ 0.05 %]\n", + "Force : 0.640877 [ 14.96 %]\n", + "Coefs : 2.64711 [ 61.78 %]\n", + "Output : 0.00076085 [ 0.02 %]\n", + "Levels : 0.000261008 [ 0.01 %]\n", + "Report : 8.56e-07 [ 0.00 %]\n", + "Balance : 3.51e-07 [ 0.00 %]\n", + "Adjust : 0.993013 [ 23.18 %]\n", + "Total : 4.28454 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6493 503 124 15 7 \n", + "1 : 6540 453 132 13 4 \n", + "2 : 6461 528 130 12 11 \n", + "3 : 6500 492 127 16 7 \n", + "4 : 6522 502 98 11 9 \n", + "5 : 6559 453 110 9 11 \n", + "6 : 6498 506 116 14 8 \n", + "7 : 6489 492 128 21 12 \n", + "8 : 6522 478 114 15 13 \n", + "9 : 6540 448 125 19 10 \n", + "10 : 6481 508 126 20 7 \n", + "11 : 6515 473 128 17 9 \n", + "12 : 6517 482 118 20 5 \n", + "13 : 6514 493 126 16 5 \n", + "\n", + "T : 91151 6811 1702 218 118 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 6.1017e-02 sec\n", + "--- Collate = 7.7261e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.734081e-05 < 6.250000e-03 [60]\n", + "--- Max DT=3.043825e-01 > 1.000000e-01 [69863]\n", + "----------------------------------------------------------------------\n", + " Component | low: 60/100000\n", + " Component | high: 69863/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=25] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000537149 [ 0.01 %]\n", + "Velocity : 0.00629267 [ 0.17 %]\n", + "Force : 0.648423 [ 17.40 %]\n", + "Coefs : 2.31184 [ 62.03 %]\n", + "Output : 0.0134576 [ 0.36 %]\n", + "Levels : 0.000267308 [ 0.01 %]\n", + "Report : 1.351e-06 [ 0.00 %]\n", + "Balance : 5.42e-07 [ 0.00 %]\n", + "Adjust : 0.746299 [ 20.02 %]\n", + "Total : 3.72717 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6496 499 125 15 7 \n", + "1 : 6533 461 130 13 5 \n", + "2 : 6457 537 124 13 11 \n", + "3 : 6495 499 127 16 5 \n", + "4 : 6519 503 99 13 8 \n", + "5 : 6555 461 107 9 10 \n", + "6 : 6495 511 113 14 9 \n", + "7 : 6489 491 128 24 10 \n", + "8 : 6516 481 118 13 14 \n", + "9 : 6536 451 124 22 9 \n", + "10 : 6479 510 123 22 8 \n", + "11 : 6514 475 127 18 8 \n", + "12 : 6516 482 119 20 5 \n", + "13 : 6509 496 127 17 5 \n", + "\n", + "T : 91109 6857 1691 229 114 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 5.7199e-02 sec\n", + "--- Collate = 7.0216e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.922704e-05 < 6.250000e-03 [65]\n", + "--- Max DT=3.043474e-01 > 1.000000e-01 [69867]\n", + "----------------------------------------------------------------------\n", + " Component | low: 65/100000\n", + " Component | high: 69867/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=25.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000395259 [ 0.01 %]\n", + "Velocity : 0.0017724 [ 0.05 %]\n", + "Force : 0.719235 [ 18.33 %]\n", + "Coefs : 2.33607 [ 59.55 %]\n", + "Output : 0.00101244 [ 0.03 %]\n", + "Levels : 0.00030078 [ 0.01 %]\n", + "Report : 8.63e-07 [ 0.00 %]\n", + "Balance : 2.44e-07 [ 0.00 %]\n", + "Adjust : 0.864125 [ 22.03 %]\n", + "Total : 3.92296 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6493 503 123 18 5 \n", + "1 : 6527 468 129 14 4 \n", + "2 : 6455 541 120 16 10 \n", + "3 : 6493 496 131 17 5 \n", + "4 : 6517 506 99 12 8 \n", + "5 : 6546 470 108 9 9 \n", + "6 : 6498 509 112 16 7 \n", + "7 : 6490 487 132 23 10 \n", + "8 : 6517 482 115 14 14 \n", + "9 : 6540 445 127 19 11 \n", + "10 : 6475 516 123 18 10 \n", + "11 : 6505 485 125 17 10 \n", + "12 : 6509 487 121 21 4 \n", + "13 : 6509 498 124 18 5 \n", + "\n", + "T : 91074 6893 1689 232 112 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 7.2894e-02 sec\n", + "--- Collate = 8.0268e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.042492e-05 < 6.250000e-03 [60]\n", + "--- Max DT=3.043096e-01 > 1.000000e-01 [69872]\n", + "----------------------------------------------------------------------\n", + " Component | low: 60/100000\n", + " Component | high: 69872/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=25.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000549795 [ 0.01 %]\n", + "Velocity : 0.00234402 [ 0.05 %]\n", + "Force : 0.808592 [ 18.63 %]\n", + "Coefs : 2.66677 [ 61.43 %]\n", + "Output : 0.00158546 [ 0.04 %]\n", + "Levels : 0.000309035 [ 0.01 %]\n", + "Report : 8.35e-07 [ 0.00 %]\n", + "Balance : 2.91e-07 [ 0.00 %]\n", + "Adjust : 0.860904 [ 19.83 %]\n", + "Total : 4.34111 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6491 502 125 17 7 \n", + "1 : 6523 474 129 12 4 \n", + "2 : 6450 547 120 13 12 \n", + "3 : 6485 505 130 17 5 \n", + "4 : 6512 510 99 14 7 \n", + "5 : 6542 477 103 11 9 \n", + "6 : 6503 504 113 17 5 \n", + "7 : 6486 493 129 25 9 \n", + "8 : 6511 492 111 18 10 \n", + "9 : 6538 449 126 17 12 \n", + "10 : 6476 513 126 14 13 \n", + "11 : 6499 486 129 17 11 \n", + "12 : 6507 486 124 19 6 \n", + "13 : 6507 498 126 17 6 \n", + "\n", + "T : 91030 6936 1690 228 116 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 6.2084e-02 sec\n", + "--- Collate = 7.0932e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.829769e-05 < 6.250000e-03 [57]\n", + "--- Max DT=3.042699e-01 > 1.000000e-01 [69872]\n", + "----------------------------------------------------------------------\n", + " Component | low: 57/100000\n", + " Component | high: 69872/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=25.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000595012 [ 0.01 %]\n", + "Velocity : 0.00229041 [ 0.05 %]\n", + "Force : 0.741033 [ 17.60 %]\n", + "Coefs : 2.60363 [ 61.83 %]\n", + "Output : 0.00143186 [ 0.03 %]\n", + "Levels : 0.000776735 [ 0.02 %]\n", + "Report : 1.202e-06 [ 0.00 %]\n", + "Balance : 3.48e-07 [ 0.00 %]\n", + "Adjust : 0.860928 [ 20.45 %]\n", + "Total : 4.21074 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6489 505 122 19 7 \n", + "1 : 6521 478 126 13 4 \n", + "2 : 6444 550 125 10 13 \n", + "3 : 6485 506 128 16 7 \n", + "4 : 6506 514 100 15 7 \n", + "5 : 6539 481 102 11 9 \n", + "6 : 6500 506 114 18 4 \n", + "7 : 6485 495 130 19 13 \n", + "8 : 6518 483 109 23 9 \n", + "9 : 6533 456 120 21 12 \n", + "10 : 6470 520 127 12 13 \n", + "11 : 6499 490 127 14 12 \n", + "12 : 6501 493 122 20 6 \n", + "13 : 6506 496 129 16 7 \n", + "\n", + "T : 90996 6973 1681 227 123 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 4.7169e-02 sec\n", + "--- Collate = 1.9275e-04 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.479701e-05 < 6.250000e-03 [58]\n", + "--- Max DT=3.042281e-01 > 1.000000e-01 [69882]\n", + "----------------------------------------------------------------------\n", + " Component | low: 58/100000\n", + " Component | high: 69882/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=25.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000701079 [ 0.02 %]\n", + "Velocity : 0.00233077 [ 0.06 %]\n", + "Force : 0.633863 [ 17.60 %]\n", + "Coefs : 2.27116 [ 63.06 %]\n", + "Output : 0.00158495 [ 0.04 %]\n", + "Levels : 0.000283654 [ 0.01 %]\n", + "Report : 9.27e-07 [ 0.00 %]\n", + "Balance : 3.7e-07 [ 0.00 %]\n", + "Adjust : 0.691736 [ 19.21 %]\n", + "Total : 3.60172 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6482 512 123 18 7 \n", + "1 : 6515 488 122 11 6 \n", + "2 : 6442 549 129 10 12 \n", + "3 : 6479 508 131 15 9 \n", + "4 : 6507 511 105 9 10 \n", + "5 : 6531 490 101 13 7 \n", + "6 : 6499 503 121 17 2 \n", + "7 : 6486 495 130 17 14 \n", + "8 : 6520 481 110 22 9 \n", + "9 : 6528 463 119 22 10 \n", + "10 : 6469 521 127 12 13 \n", + "11 : 6490 501 124 16 11 \n", + "12 : 6497 496 122 21 6 \n", + "13 : 6503 506 120 18 7 \n", + "\n", + "T : 90948 7024 1684 221 123 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 6.0964e-02 sec\n", + "--- Collate = 6.0292e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.045308e-05 < 6.250000e-03 [59]\n", + "--- Max DT=3.041835e-01 > 1.000000e-01 [69883]\n", + "----------------------------------------------------------------------\n", + " Component | low: 59/100000\n", + " Component | high: 69883/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=25.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000935841 [ 0.04 %]\n", + "Velocity : 0.00262454 [ 0.10 %]\n", + "Force : 0.472847 [ 17.76 %]\n", + "Coefs : 1.58684 [ 59.60 %]\n", + "Output : 0.00170735 [ 0.06 %]\n", + "Levels : 0.0114424 [ 0.43 %]\n", + "Report : 1.188e-06 [ 0.00 %]\n", + "Balance : 3.97e-07 [ 0.00 %]\n", + "Adjust : 0.585895 [ 22.01 %]\n", + "Total : 2.66235 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6480 513 124 16 9 \n", + "1 : 6517 483 123 12 7 \n", + "2 : 6442 549 128 12 11 \n", + "3 : 6471 515 134 15 7 \n", + "4 : 6501 517 107 8 9 \n", + "5 : 6532 488 104 11 7 \n", + "6 : 6490 513 119 18 2 \n", + "7 : 6477 502 134 15 14 \n", + "8 : 6517 485 108 25 7 \n", + "9 : 6522 470 118 21 11 \n", + "10 : 6467 521 128 15 11 \n", + "11 : 6487 506 122 16 11 \n", + "12 : 6496 495 127 18 6 \n", + "13 : 6506 501 124 13 10 \n", + "\n", + "T : 90905 7058 1700 215 122 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 5.5865e-02 sec\n", + "--- Collate = 5.4977e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.038397e-05 < 6.250000e-03 [64]\n", + "--- Max DT=3.041488e-01 > 1.000000e-01 [69899]\n", + "----------------------------------------------------------------------\n", + " Component | low: 64/100000\n", + " Component | high: 69899/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=25.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00101317 [ 0.03 %]\n", + "Velocity : 0.0025015 [ 0.08 %]\n", + "Force : 0.605227 [ 19.38 %]\n", + "Coefs : 1.85005 [ 59.23 %]\n", + "Output : 0.00141086 [ 0.05 %]\n", + "Levels : 0.000237013 [ 0.01 %]\n", + "Report : 5.64e-07 [ 0.00 %]\n", + "Balance : 2.69e-07 [ 0.00 %]\n", + "Adjust : 0.663205 [ 21.23 %]\n", + "Total : 3.1237 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6479 512 127 16 8 \n", + "1 : 6511 489 123 13 6 \n", + "2 : 6440 552 128 15 7 \n", + "3 : 6470 519 129 17 7 \n", + "4 : 6499 518 109 8 8 \n", + "5 : 6532 488 102 11 9 \n", + "6 : 6483 524 119 13 3 \n", + "7 : 6474 505 133 17 13 \n", + "8 : 6509 493 110 25 5 \n", + "9 : 6522 469 120 21 10 \n", + "10 : 6465 523 124 19 11 \n", + "11 : 6486 508 119 17 12 \n", + "12 : 6495 493 131 17 6 \n", + "13 : 6502 502 127 15 8 \n", + "\n", + "T : 90867 7095 1701 224 113 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 4.1171e-02 sec\n", + "--- Collate = 8.0331e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.319758e-05 < 6.250000e-03 [66]\n", + "--- Max DT=3.041220e-01 > 1.000000e-01 [69892]\n", + "----------------------------------------------------------------------\n", + " Component | low: 66/100000\n", + " Component | high: 69892/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=25.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000893461 [ 0.03 %]\n", + "Velocity : 0.00247819 [ 0.08 %]\n", + "Force : 0.513217 [ 16.92 %]\n", + "Coefs : 1.90443 [ 62.77 %]\n", + "Output : 0.00156683 [ 0.05 %]\n", + "Levels : 0.000347282 [ 0.01 %]\n", + "Report : 1.181e-06 [ 0.00 %]\n", + "Balance : 4.8e-07 [ 0.00 %]\n", + "Adjust : 0.610867 [ 20.14 %]\n", + "Total : 3.03385 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6475 514 129 15 9 \n", + "1 : 6506 498 119 14 5 \n", + "2 : 6439 553 129 14 7 \n", + "3 : 6467 521 130 17 7 \n", + "4 : 6504 514 110 6 8 \n", + "5 : 6535 487 97 12 11 \n", + "6 : 6479 525 121 15 2 \n", + "7 : 6471 506 138 15 12 \n", + "8 : 6508 494 108 25 7 \n", + "9 : 6514 477 118 22 11 \n", + "10 : 6461 525 125 19 12 \n", + "11 : 6482 514 113 21 12 \n", + "12 : 6486 502 132 16 6 \n", + "13 : 6504 499 128 14 9 \n", + "\n", + "T : 90831 7129 1697 225 118 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 6.2578e-02 sec\n", + "--- Collate = 1.0026e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.689991e-05 < 6.250000e-03 [66]\n", + "--- Max DT=3.041127e-01 > 1.000000e-01 [69903]\n", + "----------------------------------------------------------------------\n", + " Component | low: 66/100000\n", + " Component | high: 69903/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=25.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00039435 [ 0.01 %]\n", + "Velocity : 0.00129157 [ 0.04 %]\n", + "Force : 0.515422 [ 15.72 %]\n", + "Coefs : 2.08172 [ 63.49 %]\n", + "Output : 0.00103828 [ 0.03 %]\n", + "Levels : 0.000302779 [ 0.01 %]\n", + "Report : 1.03e-06 [ 0.00 %]\n", + "Balance : 4.85e-07 [ 0.00 %]\n", + "Adjust : 0.678362 [ 20.69 %]\n", + "Total : 3.27859 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6467 521 129 17 8 \n", + "1 : 6503 500 121 12 6 \n", + "2 : 6439 553 125 18 7 \n", + "3 : 6459 529 132 14 8 \n", + "4 : 6495 522 107 11 7 \n", + "5 : 6525 494 102 12 9 \n", + "6 : 6475 529 121 15 2 \n", + "7 : 6466 516 134 16 10 \n", + "8 : 6505 500 107 23 7 \n", + "9 : 6511 478 118 23 12 \n", + "10 : 6461 526 120 24 11 \n", + "11 : 6475 518 116 19 14 \n", + "12 : 6489 501 129 16 7 \n", + "13 : 6495 509 124 17 9 \n", + "\n", + "T : 90765 7196 1685 237 117 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 24.7%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 5.0142e-02 sec\n", + "--- Collate = 5.0234e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.705918e-05 < 6.250000e-03 [67]\n", + "--- Max DT=3.041543e-01 > 1.000000e-01 [69906]\n", + "----------------------------------------------------------------------\n", + " Component | low: 67/100000\n", + " Component | high: 69906/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=25.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000505081 [ 0.01 %]\n", + "Velocity : 0.00222487 [ 0.07 %]\n", + "Force : 0.554345 [ 16.45 %]\n", + "Coefs : 2.11973 [ 62.89 %]\n", + "Output : 0.00152631 [ 0.05 %]\n", + "Levels : 0.000944202 [ 0.03 %]\n", + "Report : 7.95e-07 [ 0.00 %]\n", + "Balance : 3.52e-07 [ 0.00 %]\n", + "Adjust : 0.690992 [ 20.50 %]\n", + "Total : 3.37033 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6470 515 130 18 9 \n", + "1 : 6493 513 118 12 6 \n", + "2 : 6433 559 122 18 10 \n", + "3 : 6451 537 131 15 8 \n", + "4 : 6492 523 107 12 8 \n", + "5 : 6522 500 99 11 10 \n", + "6 : 6472 531 120 17 2 \n", + "7 : 6464 521 130 17 10 \n", + "8 : 6502 504 104 22 10 \n", + "9 : 6512 474 119 27 10 \n", + "10 : 6457 535 117 22 11 \n", + "11 : 6477 514 121 18 12 \n", + "12 : 6485 507 124 20 6 \n", + "13 : 6492 511 128 16 7 \n", + "\n", + "T : 90722 7244 1670 245 119 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 6.2399e-02 sec\n", + "--- Collate = 9.0087e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.398741e-06 < 6.250000e-03 [68]\n", + "--- Max DT=3.041971e-01 > 1.000000e-01 [69920]\n", + "----------------------------------------------------------------------\n", + " Component | low: 68/100000\n", + " Component | high: 69920/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=26] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00087955 [ 0.03 %]\n", + "Velocity : 0.0023537 [ 0.07 %]\n", + "Force : 0.547213 [ 15.58 %]\n", + "Coefs : 2.1944 [ 62.49 %]\n", + "Output : 0.0140598 [ 0.40 %]\n", + "Levels : 0.000310897 [ 0.01 %]\n", + "Report : 1.14e-06 [ 0.00 %]\n", + "Balance : 7.68e-07 [ 0.00 %]\n", + "Adjust : 0.752199 [ 21.42 %]\n", + "Total : 3.51149 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6465 520 131 16 10 \n", + "1 : 6490 515 120 11 6 \n", + "2 : 6427 563 124 19 9 \n", + "3 : 6448 540 130 16 8 \n", + "4 : 6488 528 106 10 10 \n", + "5 : 6512 510 99 10 11 \n", + "6 : 6469 530 123 17 3 \n", + "7 : 6462 520 132 18 10 \n", + "8 : 6495 510 108 18 11 \n", + "9 : 6511 475 119 29 8 \n", + "10 : 6450 545 114 24 9 \n", + "11 : 6467 526 122 15 12 \n", + "12 : 6475 521 120 20 6 \n", + "13 : 6486 517 128 15 8 \n", + "\n", + "T : 90645 7320 1676 238 121 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 4.9435e-02 sec\n", + "--- Collate = 7.0241e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.658956e-05 < 6.250000e-03 [65]\n", + "--- Max DT=3.042380e-01 > 1.000000e-01 [69929]\n", + "----------------------------------------------------------------------\n", + " Component | low: 65/100000\n", + " Component | high: 69929/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=26.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000871419 [ 0.02 %]\n", + "Velocity : 0.00208048 [ 0.06 %]\n", + "Force : 0.614722 [ 17.61 %]\n", + "Coefs : 2.12412 [ 60.85 %]\n", + "Output : 0.00141409 [ 0.04 %]\n", + "Levels : 0.000265821 [ 0.01 %]\n", + "Report : 1.213e-06 [ 0.00 %]\n", + "Balance : 4.64e-07 [ 0.00 %]\n", + "Adjust : 0.7472 [ 21.41 %]\n", + "Total : 3.49073 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6465 519 131 19 8 \n", + "1 : 6490 520 115 11 6 \n", + "2 : 6430 560 128 14 10 \n", + "3 : 6450 537 132 14 9 \n", + "4 : 6489 523 110 10 10 \n", + "5 : 6508 512 102 8 12 \n", + "6 : 6462 538 120 19 3 \n", + "7 : 6462 520 133 18 9 \n", + "8 : 6485 518 110 15 14 \n", + "9 : 6504 482 120 26 10 \n", + "10 : 6446 548 116 24 8 \n", + "11 : 6466 530 116 18 12 \n", + "12 : 6476 522 116 21 7 \n", + "13 : 6487 521 124 13 9 \n", + "\n", + "T : 90620 7350 1673 230 127 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 6.0046e-02 sec\n", + "--- Collate = 9.0360e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.599070e-04 < 6.250000e-03 [63]\n", + "--- Max DT=3.042797e-01 > 1.000000e-01 [69908]\n", + "----------------------------------------------------------------------\n", + " Component | low: 63/100000\n", + " Component | high: 69908/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=26.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000387612 [ 0.01 %]\n", + "Velocity : 0.00180816 [ 0.05 %]\n", + "Force : 0.643692 [ 16.89 %]\n", + "Coefs : 2.38694 [ 62.63 %]\n", + "Output : 0.00136195 [ 0.04 %]\n", + "Levels : 0.000743559 [ 0.02 %]\n", + "Report : 1.064e-06 [ 0.00 %]\n", + "Balance : 4.16e-07 [ 0.00 %]\n", + "Adjust : 0.776477 [ 20.37 %]\n", + "Total : 3.81146 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6461 527 127 20 7 \n", + "1 : 6483 523 119 9 8 \n", + "2 : 6430 560 131 10 11 \n", + "3 : 6440 548 132 12 10 \n", + "4 : 6485 524 113 10 10 \n", + "5 : 6499 518 105 9 11 \n", + "6 : 6459 538 124 17 4 \n", + "7 : 6454 525 136 20 7 \n", + "8 : 6477 528 108 16 13 \n", + "9 : 6503 484 119 24 12 \n", + "10 : 6452 541 118 22 9 \n", + "11 : 6463 532 116 16 15 \n", + "12 : 6473 520 121 21 7 \n", + "13 : 6486 519 129 12 8 \n", + "\n", + "T : 90565 7387 1698 218 132 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 5.5472e-02 sec\n", + "--- Collate = 7.0409e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.461578e-05 < 6.250000e-03 [65]\n", + "--- Max DT=3.043202e-01 > 1.000000e-01 [69938]\n", + "----------------------------------------------------------------------\n", + " Component | low: 65/100000\n", + " Component | high: 69938/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=26.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00112072 [ 0.03 %]\n", + "Velocity : 0.00189857 [ 0.05 %]\n", + "Force : 0.649225 [ 16.66 %]\n", + "Coefs : 2.431 [ 62.37 %]\n", + "Output : 0.001535 [ 0.04 %]\n", + "Levels : 0.000317279 [ 0.01 %]\n", + "Report : 9.01e-07 [ 0.00 %]\n", + "Balance : 4.04e-07 [ 0.00 %]\n", + "Adjust : 0.812369 [ 20.84 %]\n", + "Total : 3.89752 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6465 525 129 15 8 \n", + "1 : 6489 518 119 9 7 \n", + "2 : 6430 559 132 9 12 \n", + "3 : 6436 550 135 12 9 \n", + "4 : 6482 527 114 10 9 \n", + "5 : 6496 523 104 9 10 \n", + "6 : 6449 549 124 14 6 \n", + "7 : 6450 531 133 20 8 \n", + "8 : 6468 540 104 17 13 \n", + "9 : 6501 484 126 19 12 \n", + "10 : 6456 537 117 21 11 \n", + "11 : 6458 541 113 16 14 \n", + "12 : 6470 520 126 17 9 \n", + "13 : 6484 519 130 12 9 \n", + "\n", + "T : 90534 7423 1706 200 137 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 6.7509e-02 sec\n", + "--- Collate = 1.0039e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.154843e-05 < 6.250000e-03 [75]\n", + "--- Max DT=3.043604e-01 > 1.000000e-01 [69947]\n", + "----------------------------------------------------------------------\n", + " Component | low: 75/100000\n", + " Component | high: 69947/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=26.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000395989 [ 0.01 %]\n", + "Velocity : 0.00147795 [ 0.04 %]\n", + "Force : 0.5958 [ 16.62 %]\n", + "Coefs : 2.23436 [ 62.34 %]\n", + "Output : 0.00139946 [ 0.04 %]\n", + "Levels : 0.000352039 [ 0.01 %]\n", + "Report : 5.61e-07 [ 0.00 %]\n", + "Balance : 3.42e-07 [ 0.00 %]\n", + "Adjust : 0.750069 [ 20.93 %]\n", + "Total : 3.58391 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6463 529 130 12 8 \n", + "1 : 6488 516 120 11 7 \n", + "2 : 6431 558 132 9 12 \n", + "3 : 6434 545 141 14 8 \n", + "4 : 6479 529 115 10 9 \n", + "5 : 6490 529 102 12 9 \n", + "6 : 6448 547 125 13 9 \n", + "7 : 6450 535 129 19 9 \n", + "8 : 6464 544 102 17 15 \n", + "9 : 6501 480 125 22 14 \n", + "10 : 6451 542 120 19 10 \n", + "11 : 6452 545 114 17 14 \n", + "12 : 6466 525 124 17 10 \n", + "13 : 6479 521 136 9 9 \n", + "\n", + "T : 90496 7445 1715 201 143 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 6.9257e-02 sec\n", + "--- Collate = 1.4025e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.490276e-05 < 6.250000e-03 [85]\n", + "--- Max DT=3.044004e-01 > 1.000000e-01 [69948]\n", + "----------------------------------------------------------------------\n", + " Component | low: 85/100000\n", + " Component | high: 69948/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=26.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00064478 [ 0.02 %]\n", + "Velocity : 0.00228468 [ 0.06 %]\n", + "Force : 0.633881 [ 17.17 %]\n", + "Coefs : 2.14846 [ 58.20 %]\n", + "Output : 0.00142142 [ 0.04 %]\n", + "Levels : 0.000265904 [ 0.01 %]\n", + "Report : 1.068e-06 [ 0.00 %]\n", + "Balance : 4.13e-07 [ 0.00 %]\n", + "Adjust : 0.904365 [ 24.50 %]\n", + "Total : 3.69138 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6447 544 129 13 9 \n", + "1 : 6481 523 119 11 8 \n", + "2 : 6430 559 134 7 12 \n", + "3 : 6432 545 142 15 8 \n", + "4 : 6479 532 112 7 12 \n", + "5 : 6492 527 99 15 9 \n", + "6 : 6445 546 126 16 9 \n", + "7 : 6442 541 134 13 12 \n", + "8 : 6459 548 104 16 15 \n", + "9 : 6496 483 127 21 15 \n", + "10 : 6444 551 118 19 10 \n", + "11 : 6452 545 114 19 12 \n", + "12 : 6467 520 127 18 10 \n", + "13 : 6478 522 134 12 8 \n", + "\n", + "T : 90444 7486 1719 202 149 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 5.2391e-02 sec\n", + "--- Collate = 4.0317e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.519963e-05 < 6.250000e-03 [85]\n", + "--- Max DT=3.044392e-01 > 1.000000e-01 [69961]\n", + "----------------------------------------------------------------------\n", + " Component | low: 85/100000\n", + " Component | high: 69961/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=26.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00045487 [ 0.01 %]\n", + "Velocity : 0.00160222 [ 0.05 %]\n", + "Force : 0.646901 [ 18.60 %]\n", + "Coefs : 2.08955 [ 60.09 %]\n", + "Output : 0.00125524 [ 0.04 %]\n", + "Levels : 0.000242009 [ 0.01 %]\n", + "Report : 1.334e-06 [ 0.00 %]\n", + "Balance : 4.9e-07 [ 0.00 %]\n", + "Adjust : 0.737416 [ 21.21 %]\n", + "Total : 3.47748 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6442 548 130 12 10 \n", + "1 : 6481 522 119 13 7 \n", + "2 : 6428 558 137 8 11 \n", + "3 : 6428 549 143 14 8 \n", + "4 : 6476 535 111 8 12 \n", + "5 : 6488 527 104 13 10 \n", + "6 : 6442 546 130 13 11 \n", + "7 : 6438 545 131 16 12 \n", + "8 : 6452 551 112 13 14 \n", + "9 : 6493 487 125 23 14 \n", + "10 : 6436 556 121 18 11 \n", + "11 : 6449 545 117 17 14 \n", + "12 : 6467 523 125 16 11 \n", + "13 : 6474 524 134 13 9 \n", + "\n", + "T : 90394 7516 1739 197 154 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 3.8205e-02 sec\n", + "--- Collate = 6.0376e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.045055e-05 < 6.250000e-03 [83]\n", + "--- Max DT=3.044786e-01 > 1.000000e-01 [69967]\n", + "----------------------------------------------------------------------\n", + " Component | low: 83/100000\n", + " Component | high: 69967/100000\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=26.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00046206 [ 0.01 %]\n", + "Velocity : 0.00195435 [ 0.05 %]\n", + "Force : 0.644427 [ 16.91 %]\n", + "Coefs : 2.39154 [ 62.74 %]\n", + "Output : 0.0013187 [ 0.03 %]\n", + "Levels : 0.000264974 [ 0.01 %]\n", + "Report : 9.21e-07 [ 0.00 %]\n", + "Balance : 4.02e-07 [ 0.00 %]\n", + "Adjust : 0.771518 [ 20.24 %]\n", + "Total : 3.81155 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6438 550 132 12 10 \n", + "1 : 6482 516 125 13 6 \n", + "2 : 6426 559 135 12 10 \n", + "3 : 6427 551 140 17 7 \n", + "4 : 6471 540 112 8 11 \n", + "5 : 6486 526 107 14 9 \n", + "6 : 6439 548 131 12 12 \n", + "7 : 6440 543 130 17 12 \n", + "8 : 6453 549 113 13 14 \n", + "9 : 6488 494 122 21 17 \n", + "10 : 6437 553 121 19 12 \n", + "11 : 6448 546 120 14 14 \n", + "12 : 6463 520 130 18 11 \n", + "13 : 6471 526 133 17 7 \n", + "\n", + "T : 90369 7521 1751 207 152 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 5.6871e-02 sec\n", + "--- Collate = 1.5069e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.038637e-05 < 6.250000e-03 [82]\n", + "--- Max DT=3.045171e-01 > 1.000000e-01 [69959]\n", + "----------------------------------------------------------------------\n", + " Component | low: 82/100000\n", + " Component | high: 69959/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=26.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000467239 [ 0.01 %]\n", + "Velocity : 0.00168162 [ 0.05 %]\n", + "Force : 0.557972 [ 16.90 %]\n", + "Coefs : 1.95152 [ 59.09 %]\n", + "Output : 0.0015304 [ 0.05 %]\n", + "Levels : 0.000305255 [ 0.01 %]\n", + "Report : 9.99e-07 [ 0.00 %]\n", + "Balance : 4.63e-07 [ 0.00 %]\n", + "Adjust : 0.789006 [ 23.89 %]\n", + "Total : 3.30254 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6440 551 125 17 9 \n", + "1 : 6475 521 125 14 7 \n", + "2 : 6418 569 129 17 9 \n", + "3 : 6428 551 139 17 7 \n", + "4 : 6469 538 116 10 9 \n", + "5 : 6485 528 108 12 9 \n", + "6 : 6435 551 131 12 13 \n", + "7 : 6437 540 139 15 11 \n", + "8 : 6448 551 114 14 15 \n", + "9 : 6489 494 120 21 18 \n", + "10 : 6432 555 123 20 12 \n", + "11 : 6444 547 122 11 18 \n", + "12 : 6457 524 135 17 9 \n", + "13 : 6465 531 133 16 9 \n", + "\n", + "T : 90322 7551 1759 213 155 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 6.0389e-02 sec\n", + "--- Collate = 7.3146e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.591152e-05 < 6.250000e-03 [78]\n", + "--- Max DT=3.045552e-01 > 1.000000e-01 [69974]\n", + "----------------------------------------------------------------------\n", + " Component | low: 78/100000\n", + " Component | high: 69974/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=26.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000529534 [ 0.01 %]\n", + "Velocity : 0.00169515 [ 0.05 %]\n", + "Force : 0.644747 [ 17.88 %]\n", + "Coefs : 2.18499 [ 60.59 %]\n", + "Output : 0.00138357 [ 0.04 %]\n", + "Levels : 0.000254195 [ 0.01 %]\n", + "Report : 1.103e-06 [ 0.00 %]\n", + "Balance : 4.85e-07 [ 0.00 %]\n", + "Adjust : 0.772633 [ 21.42 %]\n", + "Total : 3.60629 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6444 542 129 15 12 \n", + "1 : 6474 522 126 14 6 \n", + "2 : 6411 571 138 15 7 \n", + "3 : 6434 548 134 16 10 \n", + "4 : 6472 533 119 8 10 \n", + "5 : 6483 527 113 10 9 \n", + "6 : 6428 556 131 14 13 \n", + "7 : 6436 539 143 13 11 \n", + "8 : 6447 555 113 15 12 \n", + "9 : 6486 492 125 19 20 \n", + "10 : 6434 553 122 21 12 \n", + "11 : 6441 553 122 10 16 \n", + "12 : 6461 522 128 21 10 \n", + "13 : 6462 533 133 16 10 \n", + "\n", + "T : 90313 7546 1776 207 158 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 6.8433e-02 sec\n", + "--- Collate = 1.2038e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.323050e-05 < 6.250000e-03 [75]\n", + "--- Max DT=3.045939e-01 > 1.000000e-01 [69958]\n", + "----------------------------------------------------------------------\n", + " Component | low: 75/100000\n", + " Component | high: 69958/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=27] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000532183 [ 0.02 %]\n", + "Velocity : 0.0017937 [ 0.05 %]\n", + "Force : 0.50322 [ 14.50 %]\n", + "Coefs : 2.22368 [ 64.05 %]\n", + "Output : 0.0094343 [ 0.27 %]\n", + "Levels : 0.000288485 [ 0.01 %]\n", + "Report : 1.701e-06 [ 0.00 %]\n", + "Balance : 5.99e-07 [ 0.00 %]\n", + "Adjust : 0.732612 [ 21.10 %]\n", + "Total : 3.47161 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6445 542 128 15 12 \n", + "1 : 6474 524 123 14 7 \n", + "2 : 6405 576 142 12 7 \n", + "3 : 6425 558 134 15 10 \n", + "4 : 6470 534 120 9 9 \n", + "5 : 6487 521 114 13 7 \n", + "6 : 6428 553 133 14 14 \n", + "7 : 6433 541 141 17 10 \n", + "8 : 6451 546 119 17 9 \n", + "9 : 6479 497 126 22 18 \n", + "10 : 6431 552 123 26 10 \n", + "11 : 6440 554 122 12 14 \n", + "12 : 6459 528 126 18 11 \n", + "13 : 6458 540 128 18 10 \n", + "\n", + "T : 90285 7566 1779 222 148 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 7.8377e-02 sec\n", + "--- Collate = 6.0076e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.256179e-06 < 6.250000e-03 [71]\n", + "--- Max DT=3.046315e-01 > 1.000000e-01 [69947]\n", + "----------------------------------------------------------------------\n", + " Component | low: 71/100000\n", + " Component | high: 69947/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=27.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.003471 [ 0.08 %]\n", + "Velocity : 0.00159408 [ 0.04 %]\n", + "Force : 0.643104 [ 15.66 %]\n", + "Coefs : 2.56744 [ 62.53 %]\n", + "Output : 0.00142724 [ 0.03 %]\n", + "Levels : 0.000304749 [ 0.01 %]\n", + "Report : 1.419e-06 [ 0.00 %]\n", + "Balance : 4.94e-07 [ 0.00 %]\n", + "Adjust : 0.888649 [ 21.64 %]\n", + "Total : 4.10604 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6432 559 124 16 11 \n", + "1 : 6468 533 120 13 8 \n", + "2 : 6399 582 143 12 6 \n", + "3 : 6425 555 138 16 8 \n", + "4 : 6464 536 125 10 7 \n", + "5 : 6487 520 113 16 6 \n", + "6 : 6430 550 134 16 12 \n", + "7 : 6429 545 144 16 8 \n", + "8 : 6445 552 120 15 10 \n", + "9 : 6479 498 128 21 16 \n", + "10 : 6431 556 123 23 9 \n", + "11 : 6437 554 123 14 14 \n", + "12 : 6460 530 122 19 11 \n", + "13 : 6461 535 132 17 9 \n", + "\n", + "T : 90247 7605 1789 224 135 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 7.6299e-02 sec\n", + "--- Collate = 6.4175e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.166378e-06 < 6.250000e-03 [74]\n", + "--- Max DT=3.046688e-01 > 1.000000e-01 [69925]\n", + "----------------------------------------------------------------------\n", + " Component | low: 74/100000\n", + " Component | high: 69925/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=27.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000487578 [ 0.01 %]\n", + "Velocity : 0.00183947 [ 0.04 %]\n", + "Force : 0.730119 [ 17.59 %]\n", + "Coefs : 2.59841 [ 62.60 %]\n", + "Output : 0.00159901 [ 0.04 %]\n", + "Levels : 0.000340444 [ 0.01 %]\n", + "Report : 8.8e-07 [ 0.00 %]\n", + "Balance : 4.29e-07 [ 0.00 %]\n", + "Adjust : 0.818283 [ 19.71 %]\n", + "Total : 4.15114 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6432 559 122 19 10 \n", + "1 : 6468 532 119 14 9 \n", + "2 : 6398 582 144 14 4 \n", + "3 : 6421 558 138 14 11 \n", + "4 : 6461 540 125 10 6 \n", + "5 : 6486 517 118 14 7 \n", + "6 : 6433 546 134 12 17 \n", + "7 : 6425 548 141 20 8 \n", + "8 : 6443 551 123 14 11 \n", + "9 : 6479 497 131 21 14 \n", + "10 : 6424 562 124 23 9 \n", + "11 : 6439 549 125 14 15 \n", + "12 : 6448 542 121 20 11 \n", + "13 : 6462 529 138 15 10 \n", + "\n", + "T : 90219 7612 1803 224 142 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 21.1%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 5.5249e-02 sec\n", + "--- Collate = 1.5029e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.709351e-05 < 6.250000e-03 [70]\n", + "--- Max DT=3.047075e-01 > 1.000000e-01 [69949]\n", + "----------------------------------------------------------------------\n", + " Component | low: 70/100000\n", + " Component | high: 69949/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=27.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000596966 [ 0.01 %]\n", + "Velocity : 0.00178515 [ 0.04 %]\n", + "Force : 0.756686 [ 18.74 %]\n", + "Coefs : 2.46319 [ 61.01 %]\n", + "Output : 0.00151764 [ 0.04 %]\n", + "Levels : 0.000312633 [ 0.01 %]\n", + "Report : 7.06e-07 [ 0.00 %]\n", + "Balance : 3.28e-07 [ 0.00 %]\n", + "Adjust : 0.813193 [ 20.14 %]\n", + "Total : 4.03734 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6419 571 125 16 11 \n", + "1 : 6465 535 120 13 9 \n", + "2 : 6397 580 147 11 7 \n", + "3 : 6413 572 134 10 13 \n", + "4 : 6449 549 127 12 5 \n", + "5 : 6487 514 121 13 7 \n", + "6 : 6435 541 135 17 14 \n", + "7 : 6419 555 139 22 7 \n", + "8 : 6441 551 125 12 13 \n", + "9 : 6472 499 137 20 14 \n", + "10 : 6417 569 125 21 10 \n", + "11 : 6434 556 122 16 14 \n", + "12 : 6456 533 124 17 12 \n", + "13 : 6455 538 137 14 10 \n", + "\n", + "T : 90159 7663 1818 214 146 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 4.5364e-02 sec\n", + "--- Collate = 1.2004e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.089626e-05 < 6.250000e-03 [69]\n", + "--- Max DT=3.047420e-01 > 1.000000e-01 [69953]\n", + "----------------------------------------------------------------------\n", + " Component | low: 69/100000\n", + " Component | high: 69953/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=27.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000606553 [ 0.02 %]\n", + "Velocity : 0.00196956 [ 0.05 %]\n", + "Force : 0.629858 [ 16.96 %]\n", + "Coefs : 2.32848 [ 62.69 %]\n", + "Output : 0.00129924 [ 0.03 %]\n", + "Levels : 0.000252001 [ 0.01 %]\n", + "Report : 1.626e-06 [ 0.00 %]\n", + "Balance : 5.32e-07 [ 0.00 %]\n", + "Adjust : 0.751946 [ 20.24 %]\n", + "Total : 3.71447 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6412 577 126 17 10 \n", + "1 : 6467 532 121 14 8 \n", + "2 : 6393 578 153 12 6 \n", + "3 : 6404 574 140 11 13 \n", + "4 : 6449 549 126 11 7 \n", + "5 : 6487 513 122 13 7 \n", + "6 : 6435 541 132 18 16 \n", + "7 : 6412 560 141 22 7 \n", + "8 : 6426 565 126 16 9 \n", + "9 : 6471 501 136 22 12 \n", + "10 : 6416 566 130 19 11 \n", + "11 : 6432 557 125 15 13 \n", + "12 : 6453 529 132 17 11 \n", + "13 : 6451 540 140 13 10 \n", + "\n", + "T : 90108 7682 1850 220 140 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 6.4364e-02 sec\n", + "--- Collate = 6.0650e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.345899e-05 < 6.250000e-03 [72]\n", + "--- Max DT=3.047793e-01 > 1.000000e-01 [69935]\n", + "----------------------------------------------------------------------\n", + " Component | low: 72/100000\n", + " Component | high: 69935/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=27.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000465644 [ 0.02 %]\n", + "Velocity : 0.00160344 [ 0.06 %]\n", + "Force : 0.52906 [ 18.26 %]\n", + "Coefs : 1.73017 [ 59.71 %]\n", + "Output : 0.00100905 [ 0.03 %]\n", + "Levels : 0.00027838 [ 0.01 %]\n", + "Report : 1.443e-06 [ 0.00 %]\n", + "Balance : 6.19e-07 [ 0.00 %]\n", + "Adjust : 0.634847 [ 21.91 %]\n", + "Total : 2.89749 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6403 586 125 16 12 \n", + "1 : 6466 529 124 15 8 \n", + "2 : 6386 586 154 10 6 \n", + "3 : 6404 574 140 11 13 \n", + "4 : 6446 549 131 9 7 \n", + "5 : 6485 509 125 18 5 \n", + "6 : 6432 546 129 20 15 \n", + "7 : 6407 566 141 19 9 \n", + "8 : 6430 562 123 19 8 \n", + "9 : 6466 505 137 22 12 \n", + "10 : 6414 567 130 18 13 \n", + "11 : 6429 557 129 15 12 \n", + "12 : 6452 530 132 15 13 \n", + "13 : 6456 532 146 11 9 \n", + "\n", + "T : 90076 7698 1866 218 142 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 6.6557e-02 sec\n", + "--- Collate = 9.0097e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.344264e-05 < 6.250000e-03 [72]\n", + "--- Max DT=3.048130e-01 > 1.000000e-01 [69956]\n", + "----------------------------------------------------------------------\n", + " Component | low: 72/100000\n", + " Component | high: 69956/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=27.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000441126 [ 0.01 %]\n", + "Velocity : 0.00149376 [ 0.04 %]\n", + "Force : 0.639361 [ 16.32 %]\n", + "Coefs : 2.38208 [ 60.79 %]\n", + "Output : 0.00151338 [ 0.04 %]\n", + "Levels : 0.000270453 [ 0.01 %]\n", + "Report : 7.7e-07 [ 0.00 %]\n", + "Balance : 5.19e-07 [ 0.00 %]\n", + "Adjust : 0.893192 [ 22.79 %]\n", + "Total : 3.91841 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6403 586 127 14 12 \n", + "1 : 6457 535 129 14 7 \n", + "2 : 6379 596 152 8 7 \n", + "3 : 6406 569 142 11 14 \n", + "4 : 6442 549 138 6 7 \n", + "5 : 6485 508 122 21 6 \n", + "6 : 6435 543 132 18 14 \n", + "7 : 6411 561 144 17 9 \n", + "8 : 6424 568 122 19 9 \n", + "9 : 6460 515 133 22 12 \n", + "10 : 6410 568 132 21 11 \n", + "11 : 6425 559 131 18 9 \n", + "12 : 6446 529 138 15 14 \n", + "13 : 6452 537 144 10 11 \n", + "\n", + "T : 90035 7723 1886 214 142 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 4.0578e-02 sec\n", + "--- Collate = 6.0338e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.949030e-05 < 6.250000e-03 [65]\n", + "--- Max DT=3.048466e-01 > 1.000000e-01 [69965]\n", + "----------------------------------------------------------------------\n", + " Component | low: 65/100000\n", + " Component | high: 69965/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=27.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000361114 [ 0.01 %]\n", + "Velocity : 0.00128224 [ 0.04 %]\n", + "Force : 0.558147 [ 16.53 %]\n", + "Coefs : 2.11292 [ 62.58 %]\n", + "Output : 0.00122093 [ 0.04 %]\n", + "Levels : 0.00028866 [ 0.01 %]\n", + "Report : 5.64e-07 [ 0.00 %]\n", + "Balance : 2.58e-07 [ 0.00 %]\n", + "Adjust : 0.701823 [ 20.79 %]\n", + "Total : 3.37609 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6400 588 130 13 11 \n", + "1 : 6455 537 130 11 9 \n", + "2 : 6371 607 148 11 5 \n", + "3 : 6411 563 142 12 14 \n", + "4 : 6442 547 138 7 8 \n", + "5 : 6480 509 128 21 4 \n", + "6 : 6439 538 134 14 17 \n", + "7 : 6393 582 143 14 10 \n", + "8 : 6423 563 129 19 8 \n", + "9 : 6452 522 131 27 10 \n", + "10 : 6406 573 135 15 13 \n", + "11 : 6423 563 127 17 12 \n", + "12 : 6445 529 138 15 15 \n", + "13 : 6458 534 140 11 11 \n", + "\n", + "T : 89998 7755 1893 207 147 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 5.3508e-02 sec\n", + "--- Collate = 2.9754e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.784174e-05 < 6.250000e-03 [74]\n", + "--- Max DT=3.048804e-01 > 1.000000e-01 [69925]\n", + "----------------------------------------------------------------------\n", + " Component | low: 74/100000\n", + " Component | high: 69925/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=27.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000380605 [ 0.01 %]\n", + "Velocity : 0.00136056 [ 0.04 %]\n", + "Force : 0.589557 [ 16.40 %]\n", + "Coefs : 2.2554 [ 62.74 %]\n", + "Output : 0.0013252 [ 0.04 %]\n", + "Levels : 0.000300296 [ 0.01 %]\n", + "Report : 5.57e-07 [ 0.00 %]\n", + "Balance : 2.62e-07 [ 0.00 %]\n", + "Adjust : 0.746521 [ 20.77 %]\n", + "Total : 3.5949 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6398 587 132 12 13 \n", + "1 : 6452 541 130 12 7 \n", + "2 : 6375 605 142 15 5 \n", + "3 : 6407 566 140 14 15 \n", + "4 : 6436 552 140 6 8 \n", + "5 : 6480 509 130 19 4 \n", + "6 : 6432 544 136 14 16 \n", + "7 : 6396 573 152 11 10 \n", + "8 : 6422 562 132 17 9 \n", + "9 : 6440 533 133 29 7 \n", + "10 : 6402 577 135 13 15 \n", + "11 : 6422 563 128 15 14 \n", + "12 : 6441 536 136 15 14 \n", + "13 : 6457 532 144 11 10 \n", + "\n", + "T : 89960 7780 1910 203 147 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 5.6467e-02 sec\n", + "--- Collate = 1.0018e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.143774e-05 < 6.250000e-03 [75]\n", + "--- Max DT=3.049126e-01 > 1.000000e-01 [69919]\n", + "----------------------------------------------------------------------\n", + " Component | low: 75/100000\n", + " Component | high: 69919/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=27.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000698826 [ 0.02 %]\n", + "Velocity : 0.00164309 [ 0.04 %]\n", + "Force : 0.755862 [ 19.05 %]\n", + "Coefs : 2.3546 [ 59.33 %]\n", + "Output : 0.000980356 [ 0.02 %]\n", + "Levels : 0.000145161 [ 0.00 %]\n", + "Report : 4.12e-07 [ 0.00 %]\n", + "Balance : 1.35e-07 [ 0.00 %]\n", + "Adjust : 0.854555 [ 21.53 %]\n", + "Total : 3.96853 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6393 592 131 14 12 \n", + "1 : 6447 545 130 13 7 \n", + "2 : 6380 598 145 14 5 \n", + "3 : 6404 568 140 17 13 \n", + "4 : 6438 547 142 7 8 \n", + "5 : 6477 513 129 20 3 \n", + "6 : 6431 543 140 13 15 \n", + "7 : 6391 580 150 11 10 \n", + "8 : 6423 560 133 17 9 \n", + "9 : 6429 543 133 30 7 \n", + "10 : 6400 581 132 15 14 \n", + "11 : 6418 567 131 13 13 \n", + "12 : 6431 549 133 18 11 \n", + "13 : 6457 530 143 14 10 \n", + "\n", + "T : 89919 7816 1912 216 137 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 3.4726e-02 sec\n", + "--- Collate = 7.0047e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.259240e-05 < 6.250000e-03 [73]\n", + "--- Max DT=3.049443e-01 > 1.000000e-01 [69867]\n", + "----------------------------------------------------------------------\n", + " Component | low: 73/100000\n", + " Component | high: 69867/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=28] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000241118 [ 0.01 %]\n", + "Velocity : 0.00100571 [ 0.03 %]\n", + "Force : 0.549815 [ 16.34 %]\n", + "Coefs : 2.13818 [ 63.56 %]\n", + "Output : 0.00296417 [ 0.09 %]\n", + "Levels : 0.00015045 [ 0.00 %]\n", + "Report : 4.35e-07 [ 0.00 %]\n", + "Balance : 2.53e-07 [ 0.00 %]\n", + "Adjust : 0.67185 [ 19.97 %]\n", + "Total : 3.36423 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6396 584 138 11 13 \n", + "1 : 6448 543 129 16 6 \n", + "2 : 6383 591 149 13 6 \n", + "3 : 6395 579 136 19 13 \n", + "4 : 6430 556 140 8 8 \n", + "5 : 6473 518 128 18 5 \n", + "6 : 6425 548 142 12 15 \n", + "7 : 6396 572 152 9 13 \n", + "8 : 6411 565 141 15 10 \n", + "9 : 6425 544 136 26 11 \n", + "10 : 6400 580 132 16 14 \n", + "11 : 6414 569 133 14 12 \n", + "12 : 6427 555 129 22 9 \n", + "13 : 6455 537 138 13 11 \n", + "\n", + "T : 89878 7841 1923 212 146 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 6.3648e-02 sec\n", + "--- Collate = 6.0256e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.784179e-05 < 6.250000e-03 [77]\n", + "--- Max DT=3.049751e-01 > 1.000000e-01 [69859]\n", + "----------------------------------------------------------------------\n", + " Component | low: 77/100000\n", + " Component | high: 69859/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=28.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00017941 [ 0.00 %]\n", + "Velocity : 0.00090334 [ 0.03 %]\n", + "Force : 0.546891 [ 15.14 %]\n", + "Coefs : 2.24845 [ 62.23 %]\n", + "Output : 0.000740433 [ 0.02 %]\n", + "Levels : 0.000191801 [ 0.01 %]\n", + "Report : 3.56e-07 [ 0.00 %]\n", + "Balance : 1.98e-07 [ 0.00 %]\n", + "Adjust : 0.815484 [ 22.57 %]\n", + "Total : 3.61287 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6388 591 137 12 14 \n", + "1 : 6448 539 135 17 3 \n", + "2 : 6372 602 148 14 6 \n", + "3 : 6398 577 133 22 12 \n", + "4 : 6429 557 140 8 8 \n", + "5 : 6475 517 128 18 4 \n", + "6 : 6424 548 142 16 12 \n", + "7 : 6390 575 150 18 9 \n", + "8 : 6408 565 144 16 9 \n", + "9 : 6421 545 140 22 14 \n", + "10 : 6397 578 136 16 15 \n", + "11 : 6409 569 137 15 12 \n", + "12 : 6416 562 134 22 8 \n", + "13 : 6451 541 138 13 11 \n", + "\n", + "T : 89826 7866 1942 229 137 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 4.7675e-02 sec\n", + "--- Collate = 7.0243e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.649725e-06 < 6.250000e-03 [78]\n", + "--- Max DT=3.050063e-01 > 1.000000e-01 [69837]\n", + "----------------------------------------------------------------------\n", + " Component | low: 78/100000\n", + " Component | high: 69837/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=28.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000149942 [ 0.00 %]\n", + "Velocity : 0.00101826 [ 0.02 %]\n", + "Force : 0.737376 [ 17.30 %]\n", + "Coefs : 2.65903 [ 62.39 %]\n", + "Output : 0.000774271 [ 0.02 %]\n", + "Levels : 0.000137701 [ 0.00 %]\n", + "Report : 6.81e-07 [ 0.00 %]\n", + "Balance : 1.83e-07 [ 0.00 %]\n", + "Adjust : 0.863751 [ 20.27 %]\n", + "Total : 4.26226 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6390 588 137 12 15 \n", + "1 : 6441 549 132 17 3 \n", + "2 : 6369 604 147 15 7 \n", + "3 : 6390 584 135 20 13 \n", + "4 : 6429 552 142 10 9 \n", + "5 : 6466 525 130 18 3 \n", + "6 : 6424 552 137 18 11 \n", + "7 : 6383 582 148 20 9 \n", + "8 : 6411 562 142 19 8 \n", + "9 : 6421 544 141 20 16 \n", + "10 : 6399 573 137 17 16 \n", + "11 : 6401 579 136 14 12 \n", + "12 : 6417 560 134 20 11 \n", + "13 : 6446 542 142 13 11 \n", + "\n", + "T : 89787 7896 1940 233 144 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 5.1731e-02 sec\n", + "--- Collate = 2.2857e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.696534e-06 < 6.250000e-03 [75]\n", + "--- Max DT=3.050368e-01 > 1.000000e-01 [69824]\n", + "----------------------------------------------------------------------\n", + " Component | low: 75/100000\n", + " Component | high: 69824/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=28.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00024046 [ 0.01 %]\n", + "Velocity : 0.000832979 [ 0.02 %]\n", + "Force : 0.652679 [ 18.72 %]\n", + "Coefs : 2.18776 [ 62.74 %]\n", + "Output : 0.000849154 [ 0.02 %]\n", + "Levels : 0.000157661 [ 0.00 %]\n", + "Report : 7.99e-07 [ 0.00 %]\n", + "Balance : 2.08e-07 [ 0.00 %]\n", + "Adjust : 0.644229 [ 18.48 %]\n", + "Total : 3.48678 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6384 590 141 16 11 \n", + "1 : 6435 545 143 16 3 \n", + "2 : 6368 603 148 16 7 \n", + "3 : 6387 586 136 18 15 \n", + "4 : 6426 553 144 10 9 \n", + "5 : 6457 534 128 20 3 \n", + "6 : 6430 550 134 18 10 \n", + "7 : 6383 580 153 18 8 \n", + "8 : 6401 572 142 19 8 \n", + "9 : 6412 554 140 20 16 \n", + "10 : 6401 571 139 14 17 \n", + "11 : 6398 578 139 12 15 \n", + "12 : 6407 569 138 13 15 \n", + "13 : 6447 543 139 14 11 \n", + "\n", + "T : 89736 7928 1964 224 148 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 1.4890e-02 sec\n", + "--- Collate = 3.6039e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.800579e-05 < 6.250000e-03 [69]\n", + "--- Max DT=3.050664e-01 > 1.000000e-01 [69836]\n", + "----------------------------------------------------------------------\n", + " Component | low: 69/100000\n", + " Component | high: 69836/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=28.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000299128 [ 0.01 %]\n", + "Velocity : 0.000926796 [ 0.03 %]\n", + "Force : 0.520541 [ 16.81 %]\n", + "Coefs : 1.97336 [ 63.72 %]\n", + "Output : 0.000685274 [ 0.02 %]\n", + "Levels : 0.000120038 [ 0.00 %]\n", + "Report : 4.93e-07 [ 0.00 %]\n", + "Balance : 4e-07 [ 0.00 %]\n", + "Adjust : 0.600729 [ 19.40 %]\n", + "Total : 3.09669 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6384 595 138 15 10 \n", + "1 : 6434 546 146 10 6 \n", + "2 : 6372 597 149 14 10 \n", + "3 : 6385 591 134 18 14 \n", + "4 : 6430 544 150 10 8 \n", + "5 : 6449 542 131 15 5 \n", + "6 : 6433 547 132 19 11 \n", + "7 : 6381 580 154 18 9 \n", + "8 : 6407 562 146 18 9 \n", + "9 : 6409 556 143 16 18 \n", + "10 : 6395 575 142 16 14 \n", + "11 : 6391 581 142 13 15 \n", + "12 : 6404 569 142 14 13 \n", + "13 : 6444 546 141 14 9 \n", + "\n", + "T : 89718 7931 1990 210 151 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 6.3459e-02 sec\n", + "--- Collate = 1.0304e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.950114e-05 < 6.250000e-03 [67]\n", + "--- Max DT=3.050959e-01 > 1.000000e-01 [69838]\n", + "----------------------------------------------------------------------\n", + " Component | low: 67/100000\n", + " Component | high: 69838/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=28.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000196643 [ 0.01 %]\n", + "Velocity : 0.00117639 [ 0.04 %]\n", + "Force : 0.474767 [ 18.00 %]\n", + "Coefs : 1.5578 [ 59.05 %]\n", + "Output : 0.00119708 [ 0.05 %]\n", + "Levels : 0.000247325 [ 0.01 %]\n", + "Report : 1.548e-06 [ 0.00 %]\n", + "Balance : 6.08e-07 [ 0.00 %]\n", + "Adjust : 0.602785 [ 22.85 %]\n", + "Total : 2.63822 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6383 598 135 17 9 \n", + "1 : 6433 544 149 9 7 \n", + "2 : 6375 593 147 17 10 \n", + "3 : 6373 603 137 14 15 \n", + "4 : 6424 551 147 13 7 \n", + "5 : 6445 544 131 17 5 \n", + "6 : 6435 542 136 17 12 \n", + "7 : 6373 588 152 17 12 \n", + "8 : 6405 564 148 14 11 \n", + "9 : 6405 560 141 20 16 \n", + "10 : 6398 573 144 14 13 \n", + "11 : 6386 588 140 14 14 \n", + "12 : 6408 563 144 13 14 \n", + "13 : 6439 554 139 12 10 \n", + "\n", + "T : 89682 7965 1990 208 155 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 20.4%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 6.0977e-02 sec\n", + "--- Collate = 7.0576e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.454553e-05 < 6.250000e-03 [68]\n", + "--- Max DT=3.051256e-01 > 1.000000e-01 [69829]\n", + "----------------------------------------------------------------------\n", + " Component | low: 68/100000\n", + " Component | high: 69829/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=28.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00039784 [ 0.01 %]\n", + "Velocity : 0.00168597 [ 0.05 %]\n", + "Force : 0.622105 [ 18.65 %]\n", + "Coefs : 2.02301 [ 60.65 %]\n", + "Output : 0.00121908 [ 0.04 %]\n", + "Levels : 0.000307791 [ 0.01 %]\n", + "Report : 6.33e-07 [ 0.00 %]\n", + "Balance : 3.46e-07 [ 0.00 %]\n", + "Adjust : 0.686684 [ 20.59 %]\n", + "Total : 3.33546 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6378 602 135 16 11 \n", + "1 : 6427 548 151 8 8 \n", + "2 : 6374 597 143 18 10 \n", + "3 : 6371 600 139 15 17 \n", + "4 : 6425 545 150 16 6 \n", + "5 : 6440 550 133 14 5 \n", + "6 : 6429 547 136 20 10 \n", + "7 : 6375 585 153 16 13 \n", + "8 : 6396 573 146 15 12 \n", + "9 : 6407 557 143 18 17 \n", + "10 : 6389 582 145 13 13 \n", + "11 : 6385 588 141 14 14 \n", + "12 : 6401 570 140 17 14 \n", + "13 : 6436 555 139 15 9 \n", + "\n", + "T : 89633 7999 1994 215 159 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 1.0855e-01 sec\n", + "--- Collate = 1.2012e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.006611e-05 < 6.250000e-03 [80]\n", + "--- Max DT=3.051559e-01 > 1.000000e-01 [69805]\n", + "----------------------------------------------------------------------\n", + " Component | low: 80/100000\n", + " Component | high: 69805/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=28.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000457896 [ 0.01 %]\n", + "Velocity : 0.00163588 [ 0.04 %]\n", + "Force : 0.678577 [ 17.28 %]\n", + "Coefs : 2.37452 [ 60.46 %]\n", + "Output : 0.00127101 [ 0.03 %]\n", + "Levels : 0.000248219 [ 0.01 %]\n", + "Report : 8.48e-07 [ 0.00 %]\n", + "Balance : 3.31e-07 [ 0.00 %]\n", + "Adjust : 0.870578 [ 22.17 %]\n", + "Total : 3.92735 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6373 603 139 13 14 \n", + "1 : 6417 557 152 8 8 \n", + "2 : 6368 600 146 19 9 \n", + "3 : 6371 600 137 20 14 \n", + "4 : 6420 548 154 15 5 \n", + "5 : 6439 551 134 12 6 \n", + "6 : 6425 548 135 27 7 \n", + "7 : 6373 585 152 18 14 \n", + "8 : 6390 578 146 14 14 \n", + "9 : 6401 557 148 17 19 \n", + "10 : 6390 583 146 11 12 \n", + "11 : 6386 586 137 20 13 \n", + "12 : 6401 567 141 20 13 \n", + "13 : 6421 570 134 19 10 \n", + "\n", + "T : 89575 8033 2001 233 158 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 19.4%\n", + "--- Adj/Tot = 0.4%\n", + "--- Update = 4.3663e-02 sec\n", + "--- Collate = 1.6101e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.431920e-06 < 6.250000e-03 [82]\n", + "--- Max DT=3.051825e-01 > 1.000000e-01 [69815]\n", + "----------------------------------------------------------------------\n", + " Component | low: 82/100000\n", + " Component | high: 69815/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=28.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000437062 [ 0.01 %]\n", + "Velocity : 0.00189526 [ 0.05 %]\n", + "Force : 0.690549 [ 18.98 %]\n", + "Coefs : 2.26184 [ 62.15 %]\n", + "Output : 0.0012514 [ 0.03 %]\n", + "Levels : 0.000243578 [ 0.01 %]\n", + "Report : 1.346e-06 [ 0.00 %]\n", + "Balance : 5.47e-07 [ 0.00 %]\n", + "Adjust : 0.682973 [ 18.77 %]\n", + "Total : 3.63924 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6368 606 142 11 15 \n", + "1 : 6413 564 147 10 8 \n", + "2 : 6367 602 145 19 9 \n", + "3 : 6364 605 138 20 15 \n", + "4 : 6413 558 152 15 4 \n", + "5 : 6434 554 135 11 8 \n", + "6 : 6420 550 141 24 7 \n", + "7 : 6375 581 154 16 16 \n", + "8 : 6385 586 144 15 12 \n", + "9 : 6395 558 156 17 16 \n", + "10 : 6387 582 150 12 11 \n", + "11 : 6379 591 137 20 15 \n", + "12 : 6399 569 140 19 15 \n", + "13 : 6422 568 139 16 9 \n", + "\n", + "T : 89521 8074 2020 225 160 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 5.6467e-02 sec\n", + "--- Collate = 9.0321e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.507012e-05 < 6.250000e-03 [78]\n", + "--- Max DT=3.052111e-01 > 1.000000e-01 [69775]\n", + "----------------------------------------------------------------------\n", + " Component | low: 78/100000\n", + " Component | high: 69775/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=28.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00042645 [ 0.01 %]\n", + "Velocity : 0.00162902 [ 0.05 %]\n", + "Force : 0.591794 [ 17.25 %]\n", + "Coefs : 2.09124 [ 60.97 %]\n", + "Output : 0.00123242 [ 0.04 %]\n", + "Levels : 0.000313381 [ 0.01 %]\n", + "Report : 1.304e-06 [ 0.00 %]\n", + "Balance : 5.89e-07 [ 0.00 %]\n", + "Adjust : 0.743107 [ 21.67 %]\n", + "Total : 3.42981 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6364 604 150 10 14 \n", + "1 : 6417 559 150 8 8 \n", + "2 : 6364 603 147 21 7 \n", + "3 : 6365 601 141 22 13 \n", + "4 : 6418 554 151 14 5 \n", + "5 : 6436 550 135 15 6 \n", + "6 : 6413 555 144 24 6 \n", + "7 : 6365 589 158 12 18 \n", + "8 : 6387 582 146 15 12 \n", + "9 : 6393 561 152 22 14 \n", + "10 : 6386 584 147 18 7 \n", + "11 : 6375 595 135 19 18 \n", + "12 : 6399 568 143 18 14 \n", + "13 : 6417 571 140 17 9 \n", + "\n", + "T : 89499 8076 2039 235 151 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 5.2569e-02 sec\n", + "--- Collate = 1.3042e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.225165e-04 < 6.250000e-03 [85]\n", + "--- Max DT=3.052368e-01 > 1.000000e-01 [69753]\n", + "----------------------------------------------------------------------\n", + " Component | low: 85/100000\n", + " Component | high: 69753/100000\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=29] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00147797 [ 0.05 %]\n", + "Velocity : 0.00133211 [ 0.04 %]\n", + "Force : 0.526507 [ 17.17 %]\n", + "Coefs : 1.88477 [ 61.47 %]\n", + "Output : 0.0103504 [ 0.34 %]\n", + "Levels : 0.000313631 [ 0.01 %]\n", + "Report : 1.306e-06 [ 0.00 %]\n", + "Balance : 7.77e-07 [ 0.00 %]\n", + "Adjust : 0.641447 [ 20.92 %]\n", + "Total : 3.06625 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6357 608 152 14 11 \n", + "1 : 6414 566 145 8 9 \n", + "2 : 6352 615 148 20 7 \n", + "3 : 6365 599 144 18 16 \n", + "4 : 6420 554 148 12 8 \n", + "5 : 6432 552 137 14 7 \n", + "6 : 6417 554 144 18 9 \n", + "7 : 6364 593 157 13 15 \n", + "8 : 6384 586 145 17 10 \n", + "9 : 6394 554 159 18 17 \n", + "10 : 6384 585 149 18 6 \n", + "11 : 6372 597 136 20 17 \n", + "12 : 6393 574 145 15 15 \n", + "13 : 6415 568 144 16 11 \n", + "\n", + "T : 89463 8105 2053 221 158 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 37.2%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 4.4395e-02 sec\n", + "--- Collate = 7.8466e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.888163e-05 < 6.250000e-03 [76]\n", + "--- Max DT=3.052629e-01 > 1.000000e-01 [69733]\n", + "----------------------------------------------------------------------\n", + " Component | low: 76/100000\n", + " Component | high: 69733/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=29.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000511876 [ 0.01 %]\n", + "Velocity : 0.00188715 [ 0.05 %]\n", + "Force : 0.613423 [ 17.30 %]\n", + "Coefs : 2.18049 [ 61.51 %]\n", + "Output : 0.00145976 [ 0.04 %]\n", + "Levels : 0.000269426 [ 0.01 %]\n", + "Report : 5.87e-07 [ 0.00 %]\n", + "Balance : 4.42e-07 [ 0.00 %]\n", + "Adjust : 0.747076 [ 21.07 %]\n", + "Total : 3.54518 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6351 611 155 16 9 \n", + "1 : 6407 573 146 7 9 \n", + "2 : 6355 614 148 18 7 \n", + "3 : 6364 602 144 15 17 \n", + "4 : 6420 554 149 10 9 \n", + "5 : 6434 547 139 14 8 \n", + "6 : 6412 563 141 14 12 \n", + "7 : 6363 593 159 13 14 \n", + "8 : 6381 590 144 16 11 \n", + "9 : 6388 564 157 18 15 \n", + "10 : 6375 594 150 16 7 \n", + "11 : 6365 603 138 20 16 \n", + "12 : 6389 575 147 15 16 \n", + "13 : 6415 566 149 12 12 \n", + "\n", + "T : 89419 8149 2066 204 162 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 5.5407e-02 sec\n", + "--- Collate = 3.0290e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.540079e-06 < 6.250000e-03 [71]\n", + "--- Max DT=3.052875e-01 > 1.000000e-01 [69694]\n", + "----------------------------------------------------------------------\n", + " Component | low: 71/100000\n", + " Component | high: 69694/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=29.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000501681 [ 0.02 %]\n", + "Velocity : 0.00167217 [ 0.05 %]\n", + "Force : 0.59205 [ 18.73 %]\n", + "Coefs : 1.89044 [ 59.81 %]\n", + "Output : 0.00150986 [ 0.05 %]\n", + "Levels : 0.000260164 [ 0.01 %]\n", + "Report : 9.93e-07 [ 0.00 %]\n", + "Balance : 3.42e-07 [ 0.00 %]\n", + "Adjust : 0.674028 [ 21.33 %]\n", + "Total : 3.16052 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6340 619 158 16 9 \n", + "1 : 6397 581 147 10 7 \n", + "2 : 6350 618 151 14 9 \n", + "3 : 6369 600 142 12 19 \n", + "4 : 6424 551 148 12 7 \n", + "5 : 6430 553 136 17 6 \n", + "6 : 6413 560 143 15 11 \n", + "7 : 6365 595 155 15 12 \n", + "8 : 6382 589 144 16 11 \n", + "9 : 6390 560 161 16 15 \n", + "10 : 6380 590 147 17 8 \n", + "11 : 6360 601 145 25 11 \n", + "12 : 6385 574 153 16 14 \n", + "13 : 6410 568 152 12 12 \n", + "\n", + "T : 89395 8159 2082 213 151 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 5.0450e-02 sec\n", + "--- Collate = 1.3654e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.947722e-05 < 6.250000e-03 [63]\n", + "--- Max DT=3.053107e-01 > 1.000000e-01 [69651]\n", + "----------------------------------------------------------------------\n", + " Component | low: 63/100000\n", + " Component | high: 69651/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=29.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000447799 [ 0.01 %]\n", + "Velocity : 0.00216085 [ 0.07 %]\n", + "Force : 0.582717 [ 17.78 %]\n", + "Coefs : 2.07098 [ 63.19 %]\n", + "Output : 0.0012792 [ 0.04 %]\n", + "Levels : 0.000304116 [ 0.01 %]\n", + "Report : 7.3e-07 [ 0.00 %]\n", + "Balance : 2.91e-07 [ 0.00 %]\n", + "Adjust : 0.619461 [ 18.90 %]\n", + "Total : 3.27741 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6337 620 161 13 11 \n", + "1 : 6395 579 150 12 6 \n", + "2 : 6342 623 154 14 9 \n", + "3 : 6360 605 145 15 17 \n", + "4 : 6420 554 149 11 8 \n", + "5 : 6423 559 137 15 8 \n", + "6 : 6416 556 146 12 12 \n", + "7 : 6360 599 155 17 11 \n", + "8 : 6379 590 147 16 10 \n", + "9 : 6387 562 159 16 18 \n", + "10 : 6379 588 150 18 7 \n", + "11 : 6357 603 148 22 12 \n", + "12 : 6385 575 152 17 13 \n", + "13 : 6416 564 151 13 10 \n", + "\n", + "T : 89356 8177 2104 211 152 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 5.8263e-02 sec\n", + "--- Collate = 5.0363e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.224791e-05 < 6.250000e-03 [68]\n", + "--- Max DT=3.053349e-01 > 1.000000e-01 [69629]\n", + "----------------------------------------------------------------------\n", + " Component | low: 68/100000\n", + " Component | high: 69629/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=29.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000978799 [ 0.02 %]\n", + "Velocity : 0.00256715 [ 0.06 %]\n", + "Force : 0.60522 [ 14.93 %]\n", + "Coefs : 2.60292 [ 64.20 %]\n", + "Output : 0.0011355 [ 0.03 %]\n", + "Levels : 0.000419546 [ 0.01 %]\n", + "Report : 1.31e-06 [ 0.00 %]\n", + "Balance : 6.03e-07 [ 0.00 %]\n", + "Adjust : 0.841136 [ 20.75 %]\n", + "Total : 4.05444 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6338 619 161 13 11 \n", + "1 : 6392 586 146 12 6 \n", + "2 : 6338 629 153 14 8 \n", + "3 : 6365 601 146 14 16 \n", + "4 : 6413 561 146 15 7 \n", + "5 : 6415 566 136 19 6 \n", + "6 : 6407 565 150 12 8 \n", + "7 : 6355 598 162 16 11 \n", + "8 : 6376 586 152 20 8 \n", + "9 : 6389 560 159 17 17 \n", + "10 : 6374 593 150 17 8 \n", + "11 : 6366 591 156 18 11 \n", + "12 : 6389 572 150 20 11 \n", + "13 : 6410 569 149 17 9 \n", + "\n", + "T : 89327 8196 2116 224 137 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 5.9536e-02 sec\n", + "--- Collate = 7.0273e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.032737e-05 < 6.250000e-03 [75]\n", + "--- Max DT=3.053543e-01 > 1.000000e-01 [69627]\n", + "----------------------------------------------------------------------\n", + " Component | low: 75/100000\n", + " Component | high: 69627/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=29.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000466319 [ 0.01 %]\n", + "Velocity : 0.00225912 [ 0.06 %]\n", + "Force : 0.552436 [ 14.68 %]\n", + "Coefs : 2.44358 [ 64.95 %]\n", + "Output : 0.00130133 [ 0.03 %]\n", + "Levels : 0.00393118 [ 0.10 %]\n", + "Report : 5.99e-07 [ 0.00 %]\n", + "Balance : 4.91e-07 [ 0.00 %]\n", + "Adjust : 0.758363 [ 20.16 %]\n", + "Total : 3.76239 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6338 619 162 14 9 \n", + "1 : 6392 584 151 9 6 \n", + "2 : 6336 631 151 14 10 \n", + "3 : 6361 609 140 16 16 \n", + "4 : 6407 570 144 14 7 \n", + "5 : 6410 570 139 17 6 \n", + "6 : 6405 568 147 15 7 \n", + "7 : 6348 600 163 20 11 \n", + "8 : 6369 592 154 20 7 \n", + "9 : 6382 565 159 19 17 \n", + "10 : 6373 592 150 18 9 \n", + "11 : 6355 603 154 20 10 \n", + "12 : 6392 569 152 19 10 \n", + "13 : 6409 566 155 15 9 \n", + "\n", + "T : 89277 8238 2121 230 134 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info in comp, mlevel=2--------------------------------------\n", + "----------------------------------------------------------------------\n", + " COM: 2.691330e-04\n", + " Position: 2.269987e+01\n", + " --------------------------------------------------\n", + " *** fix pos : 1.149654e+01 \n", + " --------------------------------------------------\n", + " Ang mom: 3.365526e+00\n", + " Zero: 7.732424e-02\n", + " Accel: 2.707547e+00\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " Interaction: 4.170220e-04\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " External: 7.039350e-04\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " Expand: 1.864734e+02\n", + " Force: 2.788522e+00\n", + " Elapsed: 3.000117e+02\n", + "----------------------------------------------------------------------\n", + "\n", + "mstep/Mstep=4/16\n", + "0 |82 1 |81 2 |164 3 |326 4 |653 \n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 3.4744e-02 sec\n", + "--- Collate = 7.0331e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.386541e-04 < 6.250000e-03 [65]\n", + "--- Max DT=3.053753e-01 > 1.000000e-01 [69613]\n", + "----------------------------------------------------------------------\n", + " Component | low: 65/100000\n", + " Component | high: 69613/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=29.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000606267 [ 0.02 %]\n", + "Velocity : 0.00243082 [ 0.07 %]\n", + "Force : 0.627664 [ 17.82 %]\n", + "Coefs : 2.18934 [ 62.16 %]\n", + "Output : 0.00137272 [ 0.04 %]\n", + "Levels : 0.000321339 [ 0.01 %]\n", + "Report : 5.46e-07 [ 0.00 %]\n", + "Balance : 2.86e-07 [ 0.00 %]\n", + "Adjust : 0.700315 [ 19.88 %]\n", + "Total : 3.52211 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6340 616 162 14 10 \n", + "1 : 6383 592 152 9 6 \n", + "2 : 6336 630 153 14 9 \n", + "3 : 6359 609 143 15 16 \n", + "4 : 6405 573 142 13 9 \n", + "5 : 6408 569 140 18 7 \n", + "6 : 6407 564 150 14 7 \n", + "7 : 6347 602 162 19 12 \n", + "8 : 6373 587 152 21 9 \n", + "9 : 6382 565 157 24 14 \n", + "10 : 6375 591 150 15 11 \n", + "11 : 6346 608 157 18 13 \n", + "12 : 6388 575 151 18 10 \n", + "13 : 6400 574 157 16 7 \n", + "\n", + "T : 89249 8255 2128 228 140 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 4.6532e-02 sec\n", + "--- Collate = 2.9627e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.747335e-05 < 6.250000e-03 [69]\n", + "--- Max DT=3.053951e-01 > 1.000000e-01 [69569]\n", + "----------------------------------------------------------------------\n", + " Component | low: 69/100000\n", + " Component | high: 69569/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=29.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000727663 [ 0.02 %]\n", + "Velocity : 0.00170077 [ 0.05 %]\n", + "Force : 0.563538 [ 17.52 %]\n", + "Coefs : 2.03934 [ 63.39 %]\n", + "Output : 0.001206 [ 0.04 %]\n", + "Levels : 0.000281841 [ 0.01 %]\n", + "Report : 1.333e-06 [ 0.00 %]\n", + "Balance : 6.77e-07 [ 0.00 %]\n", + "Adjust : 0.610342 [ 18.97 %]\n", + "Total : 3.21719 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6327 630 164 11 10 \n", + "1 : 6381 591 155 8 7 \n", + "2 : 6337 629 152 16 8 \n", + "3 : 6364 604 143 16 15 \n", + "4 : 6401 575 143 12 11 \n", + "5 : 6406 569 145 13 9 \n", + "6 : 6403 572 146 15 6 \n", + "7 : 6339 609 163 19 12 \n", + "8 : 6366 597 148 20 11 \n", + "9 : 6382 567 157 25 11 \n", + "10 : 6369 594 154 14 11 \n", + "11 : 6342 610 161 18 11 \n", + "12 : 6384 581 151 15 11 \n", + "13 : 6405 561 165 19 4 \n", + "\n", + "T : 89206 8289 2147 221 137 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 4.9073e-02 sec\n", + "--- Collate = 1.8024e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.906801e-05 < 6.250000e-03 [72]\n", + "--- Max DT=3.054120e-01 > 1.000000e-01 [69546]\n", + "----------------------------------------------------------------------\n", + " Component | low: 72/100000\n", + " Component | high: 69546/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=29.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000657486 [ 0.02 %]\n", + "Velocity : 0.00218225 [ 0.07 %]\n", + "Force : 0.540769 [ 16.67 %]\n", + "Coefs : 2.01576 [ 62.12 %]\n", + "Output : 0.00147884 [ 0.05 %]\n", + "Levels : 0.000298519 [ 0.01 %]\n", + "Report : 9.64e-07 [ 0.00 %]\n", + "Balance : 4.1e-07 [ 0.00 %]\n", + "Adjust : 0.683542 [ 21.07 %]\n", + "Total : 3.24476 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6320 635 168 11 8 \n", + "1 : 6379 588 157 11 7 \n", + "2 : 6333 633 152 18 6 \n", + "3 : 6368 597 145 16 16 \n", + "4 : 6397 581 141 12 11 \n", + "5 : 6409 568 143 10 12 \n", + "6 : 6402 573 147 10 10 \n", + "7 : 6329 617 168 15 13 \n", + "8 : 6369 593 149 19 12 \n", + "9 : 6384 568 155 24 11 \n", + "10 : 6365 595 157 14 11 \n", + "11 : 6338 608 165 19 12 \n", + "12 : 6386 582 145 18 11 \n", + "13 : 6406 563 163 17 5 \n", + "\n", + "T : 89185 8301 2155 214 145 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.4%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 5.6420e-02 sec\n", + "--- Collate = 2.0587e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.192212e-05 < 6.250000e-03 [73]\n", + "--- Max DT=3.054284e-01 > 1.000000e-01 [69518]\n", + "----------------------------------------------------------------------\n", + " Component | low: 73/100000\n", + " Component | high: 69518/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=29.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000664496 [ 0.02 %]\n", + "Velocity : 0.00214755 [ 0.05 %]\n", + "Force : 0.639452 [ 15.35 %]\n", + "Coefs : 2.67978 [ 64.34 %]\n", + "Output : 0.00149459 [ 0.04 %]\n", + "Levels : 0.000332357 [ 0.01 %]\n", + "Report : 1.097e-06 [ 0.00 %]\n", + "Balance : 3.87e-07 [ 0.00 %]\n", + "Adjust : 0.841176 [ 20.20 %]\n", + "Total : 4.16511 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6326 627 168 14 7 \n", + "1 : 6379 587 157 13 6 \n", + "2 : 6336 632 150 15 9 \n", + "3 : 6372 591 149 16 14 \n", + "4 : 6391 586 141 15 9 \n", + "5 : 6407 573 138 12 12 \n", + "6 : 6393 578 150 10 11 \n", + "7 : 6331 610 167 20 14 \n", + "8 : 6360 602 149 18 13 \n", + "9 : 6381 570 154 22 15 \n", + "10 : 6372 581 165 13 11 \n", + "11 : 6336 612 164 19 11 \n", + "12 : 6380 587 147 15 13 \n", + "13 : 6405 560 167 18 4 \n", + "\n", + "T : 89169 8296 2166 220 149 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 24.2%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 6.6086e-02 sec\n", + "--- Collate = 7.1422e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.795864e-05 < 6.250000e-03 [68]\n", + "--- Max DT=3.054660e-01 > 1.000000e-01 [69490]\n", + "----------------------------------------------------------------------\n", + " Component | low: 68/100000\n", + " Component | high: 69490/100000\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=30] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000540729 [ 0.01 %]\n", + "Velocity : 0.00203462 [ 0.06 %]\n", + "Force : 0.63145 [ 17.17 %]\n", + "Coefs : 2.24507 [ 61.06 %]\n", + "Output : 0.0095058 [ 0.26 %]\n", + "Levels : 0.000255575 [ 0.01 %]\n", + "Report : 1.206e-06 [ 0.00 %]\n", + "Balance : 5.78e-07 [ 0.00 %]\n", + "Adjust : 0.788191 [ 21.44 %]\n", + "Total : 3.67711 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6330 623 167 15 7 \n", + "1 : 6375 586 162 15 4 \n", + "2 : 6325 640 154 14 9 \n", + "3 : 6369 594 150 18 11 \n", + "4 : 6390 587 141 17 7 \n", + "5 : 6402 578 139 14 9 \n", + "6 : 6392 579 145 16 10 \n", + "7 : 6325 613 169 22 13 \n", + "8 : 6357 604 149 21 11 \n", + "9 : 6382 569 155 23 13 \n", + "10 : 6362 591 170 8 11 \n", + "11 : 6325 624 160 22 11 \n", + "12 : 6375 594 143 20 10 \n", + "13 : 6390 577 161 22 4 \n", + "\n", + "T : 89099 8359 2165 247 130 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 6.9480e-02 sec\n", + "--- Collate = 1.1019e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.734293e-05 < 6.250000e-03 [72]\n", + "--- Max DT=3.055049e-01 > 1.000000e-01 [69467]\n", + "----------------------------------------------------------------------\n", + " Component | low: 72/100000\n", + " Component | high: 69467/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=30.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00043798 [ 0.01 %]\n", + "Velocity : 0.0052503 [ 0.13 %]\n", + "Force : 0.64837 [ 15.97 %]\n", + "Coefs : 2.59465 [ 63.92 %]\n", + "Output : 0.00168402 [ 0.04 %]\n", + "Levels : 0.000294766 [ 0.01 %]\n", + "Report : 1.446e-06 [ 0.00 %]\n", + "Balance : 4.06e-07 [ 0.00 %]\n", + "Adjust : 0.808785 [ 19.92 %]\n", + "Total : 4.05953 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6324 628 171 11 8 \n", + "1 : 6371 586 164 14 7 \n", + "2 : 6324 636 157 15 10 \n", + "3 : 6358 608 148 18 10 \n", + "4 : 6390 589 141 18 4 \n", + "5 : 6400 577 141 14 10 \n", + "6 : 6390 583 142 17 10 \n", + "7 : 6323 616 163 27 13 \n", + "8 : 6355 600 154 20 13 \n", + "9 : 6376 575 152 25 14 \n", + "10 : 6361 598 162 12 9 \n", + "11 : 6325 621 165 19 12 \n", + "12 : 6373 592 145 21 11 \n", + "13 : 6387 581 161 22 3 \n", + "\n", + "T : 89057 8390 2166 253 134 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 6.2534e-02 sec\n", + "--- Collate = 1.0040e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.340951e-05 < 6.250000e-03 [67]\n", + "--- Max DT=3.055409e-01 > 1.000000e-01 [69445]\n", + "----------------------------------------------------------------------\n", + " Component | low: 67/100000\n", + " Component | high: 69445/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=30.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000745257 [ 0.02 %]\n", + "Velocity : 0.00181465 [ 0.05 %]\n", + "Force : 0.696502 [ 18.64 %]\n", + "Coefs : 2.3244 [ 62.19 %]\n", + "Output : 0.00134136 [ 0.04 %]\n", + "Levels : 0.000307784 [ 0.01 %]\n", + "Report : 8.52e-07 [ 0.00 %]\n", + "Balance : 2.72e-07 [ 0.00 %]\n", + "Adjust : 0.712363 [ 19.06 %]\n", + "Total : 3.73753 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6323 627 172 13 7 \n", + "1 : 6363 593 165 14 7 \n", + "2 : 6315 644 159 15 9 \n", + "3 : 6356 610 148 18 10 \n", + "4 : 6381 595 148 12 6 \n", + "5 : 6398 575 143 16 10 \n", + "6 : 6389 586 141 17 9 \n", + "7 : 6324 614 166 26 12 \n", + "8 : 6357 597 152 24 12 \n", + "9 : 6372 578 155 22 15 \n", + "10 : 6363 595 162 12 10 \n", + "11 : 6321 628 161 19 13 \n", + "12 : 6372 592 146 19 13 \n", + "13 : 6391 574 166 18 5 \n", + "\n", + "T : 89025 8408 2184 245 138 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 8.0439e-02 sec\n", + "--- Collate = 1.2022e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.041036e-05 < 6.250000e-03 [67]\n", + "--- Max DT=3.055789e-01 > 1.000000e-01 [69413]\n", + "----------------------------------------------------------------------\n", + " Component | low: 67/100000\n", + " Component | high: 69413/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=30.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000751264 [ 0.02 %]\n", + "Velocity : 0.00187171 [ 0.04 %]\n", + "Force : 0.703347 [ 16.31 %]\n", + "Coefs : 2.66286 [ 61.76 %]\n", + "Output : 0.00129827 [ 0.03 %]\n", + "Levels : 0.00031823 [ 0.01 %]\n", + "Report : 3.65e-07 [ 0.00 %]\n", + "Balance : 2.42e-07 [ 0.00 %]\n", + "Adjust : 0.940986 [ 21.83 %]\n", + "Total : 4.31149 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6325 622 172 18 5 \n", + "1 : 6361 596 159 18 8 \n", + "2 : 6319 636 163 15 9 \n", + "3 : 6350 618 145 17 12 \n", + "4 : 6375 595 153 11 8 \n", + "5 : 6400 579 136 17 10 \n", + "6 : 6386 583 144 20 9 \n", + "7 : 6316 623 166 29 8 \n", + "8 : 6352 605 150 20 15 \n", + "9 : 6373 575 154 25 15 \n", + "10 : 6356 605 161 11 9 \n", + "11 : 6319 632 160 19 12 \n", + "12 : 6368 593 148 22 11 \n", + "13 : 6393 572 165 19 5 \n", + "\n", + "T : 88993 8434 2176 261 136 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 25.9%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 6.1139e-02 sec\n", + "--- Collate = 7.4336e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.605626e-07 < 6.250000e-03 [71]\n", + "--- Max DT=3.056151e-01 > 1.000000e-01 [69349]\n", + "----------------------------------------------------------------------\n", + " Component | low: 71/100000\n", + " Component | high: 69349/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=30.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000464693 [ 0.01 %]\n", + "Velocity : 0.00144016 [ 0.04 %]\n", + "Force : 0.555017 [ 15.20 %]\n", + "Coefs : 2.36355 [ 64.75 %]\n", + "Output : 0.00116513 [ 0.03 %]\n", + "Levels : 0.000277525 [ 0.01 %]\n", + "Report : 1.45e-06 [ 0.00 %]\n", + "Balance : 4.16e-07 [ 0.00 %]\n", + "Adjust : 0.728449 [ 19.96 %]\n", + "Total : 3.65042 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6320 623 178 15 6 \n", + "1 : 6354 600 164 15 9 \n", + "2 : 6317 636 163 17 9 \n", + "3 : 6344 626 144 16 12 \n", + "4 : 6371 599 152 10 10 \n", + "5 : 6398 579 140 16 9 \n", + "6 : 6387 583 143 19 10 \n", + "7 : 6316 621 164 32 9 \n", + "8 : 6349 605 149 26 13 \n", + "9 : 6382 566 155 24 15 \n", + "10 : 6355 604 160 15 8 \n", + "11 : 6316 637 160 19 10 \n", + "12 : 6365 596 147 23 11 \n", + "13 : 6385 580 167 18 4 \n", + "\n", + "T : 88959 8455 2186 265 135 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 30.4%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 4.8820e-02 sec\n", + "--- Collate = 1.0038e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.282655e-05 < 6.250000e-03 [60]\n", + "--- Max DT=3.056476e-01 > 1.000000e-01 [69294]\n", + "----------------------------------------------------------------------\n", + " Component | low: 60/100000\n", + " Component | high: 69294/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=30.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00042171 [ 0.01 %]\n", + "Velocity : 0.00223454 [ 0.06 %]\n", + "Force : 0.63155 [ 17.92 %]\n", + "Coefs : 2.1558 [ 61.17 %]\n", + "Output : 0.00137394 [ 0.04 %]\n", + "Levels : 0.000319977 [ 0.01 %]\n", + "Report : 1.236e-06 [ 0.00 %]\n", + "Balance : 6.02e-07 [ 0.00 %]\n", + "Adjust : 0.732631 [ 20.79 %]\n", + "Total : 3.52438 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6321 613 189 12 7 \n", + "1 : 6346 611 161 13 11 \n", + "2 : 6317 637 165 14 9 \n", + "3 : 6344 626 145 14 13 \n", + "4 : 6371 602 150 9 10 \n", + "5 : 6398 575 142 18 9 \n", + "6 : 6379 588 146 20 9 \n", + "7 : 6312 622 166 34 8 \n", + "8 : 6350 604 154 21 13 \n", + "9 : 6374 569 157 29 13 \n", + "10 : 6359 600 160 13 10 \n", + "11 : 6307 643 159 23 10 \n", + "12 : 6356 603 148 24 11 \n", + "13 : 6385 582 160 23 4 \n", + "\n", + "T : 88919 8475 2202 267 137 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 24.9%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 7.3487e-02 sec\n", + "--- Collate = 1.1020e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.797159e-05 < 6.250000e-03 [59]\n", + "--- Max DT=3.056822e-01 > 1.000000e-01 [69269]\n", + "----------------------------------------------------------------------\n", + " Component | low: 59/100000\n", + " Component | high: 69269/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=30.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000422938 [ 0.01 %]\n", + "Velocity : 0.00157244 [ 0.04 %]\n", + "Force : 0.650275 [ 18.02 %]\n", + "Coefs : 2.1981 [ 60.90 %]\n", + "Output : 0.00132525 [ 0.04 %]\n", + "Levels : 0.000259622 [ 0.01 %]\n", + "Report : 8.95e-07 [ 0.00 %]\n", + "Balance : 3.54e-07 [ 0.00 %]\n", + "Adjust : 0.757608 [ 20.99 %]\n", + "Total : 3.60962 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6322 607 193 11 9 \n", + "1 : 6341 614 163 13 11 \n", + "2 : 6311 645 163 13 10 \n", + "3 : 6346 619 148 20 9 \n", + "4 : 6359 611 153 10 9 \n", + "5 : 6381 591 142 20 8 \n", + "6 : 6376 586 150 19 11 \n", + "7 : 6311 620 170 33 8 \n", + "8 : 6343 611 150 25 13 \n", + "9 : 6375 564 163 24 16 \n", + "10 : 6361 597 159 20 5 \n", + "11 : 6300 649 160 20 13 \n", + "12 : 6353 607 144 25 13 \n", + "13 : 6386 576 165 22 5 \n", + "\n", + "T : 88865 8497 2223 275 140 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 4.3331e-02 sec\n", + "--- Collate = 7.0560e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.245765e-05 < 6.250000e-03 [59]\n", + "--- Max DT=3.057157e-01 > 1.000000e-01 [69201]\n", + "----------------------------------------------------------------------\n", + " Component | low: 59/100000\n", + " Component | high: 69201/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=30.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000519406 [ 0.02 %]\n", + "Velocity : 0.00177063 [ 0.06 %]\n", + "Force : 0.509315 [ 16.17 %]\n", + "Coefs : 1.99739 [ 63.42 %]\n", + "Output : 0.000938583 [ 0.03 %]\n", + "Levels : 0.000326179 [ 0.01 %]\n", + "Report : 9.94e-07 [ 0.00 %]\n", + "Balance : 4.09e-07 [ 0.00 %]\n", + "Adjust : 0.639051 [ 20.29 %]\n", + "Total : 3.14936 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6320 609 193 12 8 \n", + "1 : 6345 610 163 14 10 \n", + "2 : 6317 634 168 11 12 \n", + "3 : 6347 619 148 19 9 \n", + "4 : 6363 602 156 12 9 \n", + "5 : 6384 587 146 17 8 \n", + "6 : 6370 594 145 22 11 \n", + "7 : 6307 623 170 33 9 \n", + "8 : 6349 608 147 28 10 \n", + "9 : 6377 566 158 23 18 \n", + "10 : 6355 608 151 25 3 \n", + "11 : 6301 648 161 17 15 \n", + "12 : 6355 599 150 25 13 \n", + "13 : 6379 584 163 19 9 \n", + "\n", + "T : 88869 8491 2219 277 144 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 42.4%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 6.1299e-02 sec\n", + "--- Collate = 2.0263e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.050539e-04 < 6.250000e-03 [64]\n", + "--- Max DT=3.057486e-01 > 1.000000e-01 [69139]\n", + "----------------------------------------------------------------------\n", + " Component | low: 64/100000\n", + " Component | high: 69139/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=30.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000534105 [ 0.02 %]\n", + "Velocity : 0.00182118 [ 0.06 %]\n", + "Force : 0.58526 [ 18.68 %]\n", + "Coefs : 1.90776 [ 60.88 %]\n", + "Output : 0.00100913 [ 0.03 %]\n", + "Levels : 0.000231791 [ 0.01 %]\n", + "Report : 8.77e-07 [ 0.00 %]\n", + "Balance : 3.05e-07 [ 0.00 %]\n", + "Adjust : 0.636894 [ 20.32 %]\n", + "Total : 3.13357 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6320 611 189 14 8 \n", + "1 : 6346 606 165 18 7 \n", + "2 : 6313 635 169 15 10 \n", + "3 : 6343 620 151 18 10 \n", + "4 : 6354 612 154 16 6 \n", + "5 : 6383 586 149 15 9 \n", + "6 : 6366 598 144 25 9 \n", + "7 : 6310 620 175 31 6 \n", + "8 : 6339 618 147 27 11 \n", + "9 : 6373 572 154 30 13 \n", + "10 : 6348 610 158 22 4 \n", + "11 : 6299 650 161 18 14 \n", + "12 : 6354 602 151 24 11 \n", + "13 : 6374 588 164 20 8 \n", + "\n", + "T : 88822 8528 2231 293 126 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 4.4511e-02 sec\n", + "--- Collate = 8.0833e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.890029e-05 < 6.250000e-03 [66]\n", + "--- Max DT=3.057807e-01 > 1.000000e-01 [69076]\n", + "----------------------------------------------------------------------\n", + " Component | low: 66/100000\n", + " Component | high: 69076/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=30.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000691664 [ 0.02 %]\n", + "Velocity : 0.00206842 [ 0.06 %]\n", + "Force : 0.647472 [ 18.54 %]\n", + "Coefs : 2.12981 [ 60.98 %]\n", + "Output : 0.00105715 [ 0.03 %]\n", + "Levels : 0.000404042 [ 0.01 %]\n", + "Report : 1.124e-06 [ 0.00 %]\n", + "Balance : 7.09e-07 [ 0.00 %]\n", + "Adjust : 0.711077 [ 20.36 %]\n", + "Total : 3.49264 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6321 611 189 16 5 \n", + "1 : 6342 606 170 15 9 \n", + "2 : 6315 635 166 16 10 \n", + "3 : 6342 619 156 13 12 \n", + "4 : 6355 612 153 16 6 \n", + "5 : 6377 593 149 15 8 \n", + "6 : 6366 599 146 20 11 \n", + "7 : 6305 619 179 32 7 \n", + "8 : 6339 615 149 24 15 \n", + "9 : 6365 579 156 28 14 \n", + "10 : 6350 600 166 22 4 \n", + "11 : 6302 648 160 20 12 \n", + "12 : 6356 601 150 23 12 \n", + "13 : 6367 601 157 19 10 \n", + "\n", + "T : 88802 8538 2246 279 135 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 37.3%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 7.3089e-02 sec\n", + "--- Collate = 3.4039e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.402901e-07 < 6.250000e-03 [69]\n", + "--- Max DT=3.058114e-01 > 1.000000e-01 [69057]\n", + "----------------------------------------------------------------------\n", + " Component | low: 69/100000\n", + " Component | high: 69057/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=31] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000480881 [ 0.01 %]\n", + "Velocity : 0.00201593 [ 0.04 %]\n", + "Force : 0.784131 [ 16.25 %]\n", + "Coefs : 2.94811 [ 61.11 %]\n", + "Output : 0.00602976 [ 0.12 %]\n", + "Levels : 0.000291791 [ 0.01 %]\n", + "Report : 1.352e-06 [ 0.00 %]\n", + "Balance : 5.89e-07 [ 0.00 %]\n", + "Adjust : 1.0834 [ 22.46 %]\n", + "Total : 4.82452 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6319 614 183 17 9 \n", + "1 : 6344 600 175 16 7 \n", + "2 : 6318 632 167 16 9 \n", + "3 : 6344 612 158 16 12 \n", + "4 : 6352 615 153 14 8 \n", + "5 : 6377 593 149 16 7 \n", + "6 : 6368 593 153 15 13 \n", + "7 : 6302 623 177 33 7 \n", + "8 : 6340 614 155 18 15 \n", + "9 : 6359 588 151 29 15 \n", + "10 : 6346 603 166 20 7 \n", + "11 : 6296 651 162 22 11 \n", + "12 : 6346 612 150 21 13 \n", + "13 : 6359 607 161 15 12 \n", + "\n", + "T : 88770 8557 2260 268 145 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 6.3206e-02 sec\n", + "--- Collate = 2.4062e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.329067e-05 < 6.250000e-03 [79]\n", + "--- Max DT=3.058435e-01 > 1.000000e-01 [69034]\n", + "----------------------------------------------------------------------\n", + " Component | low: 79/100000\n", + " Component | high: 69034/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=31.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000760195 [ 0.02 %]\n", + "Velocity : 0.00212798 [ 0.06 %]\n", + "Force : 0.529597 [ 15.78 %]\n", + "Coefs : 2.13791 [ 63.70 %]\n", + "Output : 0.00149381 [ 0.04 %]\n", + "Levels : 0.000334377 [ 0.01 %]\n", + "Report : 5.84e-07 [ 0.00 %]\n", + "Balance : 3.23e-07 [ 0.00 %]\n", + "Adjust : 0.683961 [ 20.38 %]\n", + "Total : 3.35624 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6320 611 185 19 7 \n", + "1 : 6347 600 167 18 10 \n", + "2 : 6309 642 171 11 9 \n", + "3 : 6349 607 158 17 11 \n", + "4 : 6347 619 154 14 8 \n", + "5 : 6374 596 149 16 7 \n", + "6 : 6364 588 162 16 12 \n", + "7 : 6291 637 172 32 10 \n", + "8 : 6340 613 155 19 15 \n", + "9 : 6353 593 153 27 16 \n", + "10 : 6346 600 166 21 9 \n", + "11 : 6301 640 166 25 10 \n", + "12 : 6333 621 156 23 9 \n", + "13 : 6362 600 162 17 13 \n", + "\n", + "T : 88736 8567 2276 275 146 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 6.1556e-02 sec\n", + "--- Collate = 1.0026e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.321571e-05 < 6.250000e-03 [88]\n", + "--- Max DT=3.058722e-01 > 1.000000e-01 [68979]\n", + "----------------------------------------------------------------------\n", + " Component | low: 88/100000\n", + " Component | high: 68979/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=31.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000466933 [ 0.01 %]\n", + "Velocity : 0.00147811 [ 0.04 %]\n", + "Force : 0.68708 [ 18.27 %]\n", + "Coefs : 2.2688 [ 60.33 %]\n", + "Output : 0.0012728 [ 0.03 %]\n", + "Levels : 0.000282656 [ 0.01 %]\n", + "Report : 7.75e-07 [ 0.00 %]\n", + "Balance : 3.39e-07 [ 0.00 %]\n", + "Adjust : 0.801051 [ 21.30 %]\n", + "Total : 3.76049 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6326 601 186 22 7 \n", + "1 : 6345 597 168 24 8 \n", + "2 : 6311 636 174 11 10 \n", + "3 : 6346 610 158 17 11 \n", + "4 : 6348 619 155 12 8 \n", + "5 : 6366 601 150 16 9 \n", + "6 : 6362 586 165 18 11 \n", + "7 : 6290 632 177 32 11 \n", + "8 : 6340 612 154 20 16 \n", + "9 : 6355 591 156 21 19 \n", + "10 : 6347 600 164 23 8 \n", + "11 : 6311 630 167 25 9 \n", + "12 : 6336 612 163 21 10 \n", + "13 : 6360 599 167 16 12 \n", + "\n", + "T : 88743 8526 2304 278 149 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 6.7513e-02 sec\n", + "--- Collate = 1.0571e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.430384e-06 < 6.250000e-03 [92]\n", + "--- Max DT=3.059003e-01 > 1.000000e-01 [68940]\n", + "----------------------------------------------------------------------\n", + " Component | low: 92/100000\n", + " Component | high: 68940/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=31.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00103524 [ 0.03 %]\n", + "Velocity : 0.00188368 [ 0.05 %]\n", + "Force : 0.572411 [ 15.81 %]\n", + "Coefs : 2.31422 [ 63.90 %]\n", + "Output : 0.00140162 [ 0.04 %]\n", + "Levels : 0.000307028 [ 0.01 %]\n", + "Report : 1.062e-06 [ 0.00 %]\n", + "Balance : 5.67e-07 [ 0.00 %]\n", + "Adjust : 0.730172 [ 20.16 %]\n", + "Total : 3.62148 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6326 599 188 21 8 \n", + "1 : 6338 604 168 22 10 \n", + "2 : 6305 637 176 13 11 \n", + "3 : 6335 626 152 17 12 \n", + "4 : 6345 630 148 13 6 \n", + "5 : 6368 603 143 17 11 \n", + "6 : 6360 590 164 16 12 \n", + "7 : 6293 630 175 31 13 \n", + "8 : 6347 607 152 20 16 \n", + "9 : 6352 587 164 20 19 \n", + "10 : 6347 601 158 28 8 \n", + "11 : 6308 635 161 27 11 \n", + "12 : 6332 617 166 16 11 \n", + "13 : 6365 594 170 13 12 \n", + "\n", + "T : 88721 8560 2285 274 160 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 3.5669e-02 sec\n", + "--- Collate = 5.0163e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.250239e-05 < 6.250000e-03 [89]\n", + "--- Max DT=3.059254e-01 > 1.000000e-01 [68868]\n", + "----------------------------------------------------------------------\n", + " Component | low: 89/100000\n", + " Component | high: 68868/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=31.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00446872 [ 0.12 %]\n", + "Velocity : 0.00149441 [ 0.04 %]\n", + "Force : 0.676632 [ 18.11 %]\n", + "Coefs : 2.34038 [ 62.64 %]\n", + "Output : 0.00128499 [ 0.03 %]\n", + "Levels : 0.000295064 [ 0.01 %]\n", + "Report : 9.16e-07 [ 0.00 %]\n", + "Balance : 4.75e-07 [ 0.00 %]\n", + "Adjust : 0.711807 [ 19.05 %]\n", + "Total : 3.73642 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6323 602 185 23 9 \n", + "1 : 6340 602 168 23 9 \n", + "2 : 6303 636 177 15 11 \n", + "3 : 6335 621 158 18 10 \n", + "4 : 6340 637 143 15 7 \n", + "5 : 6372 598 142 18 12 \n", + "6 : 6354 594 168 16 10 \n", + "7 : 6299 620 180 28 15 \n", + "8 : 6342 614 150 22 14 \n", + "9 : 6351 584 166 24 17 \n", + "10 : 6341 605 159 28 9 \n", + "11 : 6311 632 161 27 11 \n", + "12 : 6338 607 170 16 11 \n", + "13 : 6362 597 167 15 13 \n", + "\n", + "T : 88711 8549 2294 288 158 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 6.0110e-02 sec\n", + "--- Collate = 1.9020e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.968967e-05 < 6.250000e-03 [89]\n", + "--- Max DT=3.059503e-01 > 1.000000e-01 [68805]\n", + "----------------------------------------------------------------------\n", + " Component | low: 89/100000\n", + " Component | high: 68805/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=31.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000719732 [ 0.02 %]\n", + "Velocity : 0.00217079 [ 0.06 %]\n", + "Force : 0.550839 [ 15.79 %]\n", + "Coefs : 2.18016 [ 62.50 %]\n", + "Output : 0.00124714 [ 0.04 %]\n", + "Levels : 0.000261621 [ 0.01 %]\n", + "Report : 5.86e-07 [ 0.00 %]\n", + "Balance : 2.48e-07 [ 0.00 %]\n", + "Adjust : 0.753037 [ 21.59 %]\n", + "Total : 3.48849 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6322 603 180 26 11 \n", + "1 : 6333 609 169 21 10 \n", + "2 : 6311 629 175 16 11 \n", + "3 : 6329 621 163 19 10 \n", + "4 : 6343 635 142 14 8 \n", + "5 : 6369 599 141 20 13 \n", + "6 : 6358 588 170 14 12 \n", + "7 : 6299 619 183 26 15 \n", + "8 : 6333 623 152 18 16 \n", + "9 : 6341 591 169 26 15 \n", + "10 : 6347 594 165 27 9 \n", + "11 : 6307 637 163 25 10 \n", + "12 : 6336 608 170 18 10 \n", + "13 : 6373 587 165 17 12 \n", + "\n", + "T : 88701 8543 2307 287 162 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 36.1%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 1.1093e-01 sec\n", + "--- Collate = 7.0432e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.533402e-05 < 6.250000e-03 [84]\n", + "--- Max DT=3.059763e-01 > 1.000000e-01 [68729]\n", + "----------------------------------------------------------------------\n", + " Component | low: 84/100000\n", + " Component | high: 68729/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=31.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000790223 [ 0.02 %]\n", + "Velocity : 0.00213247 [ 0.06 %]\n", + "Force : 0.627891 [ 16.46 %]\n", + "Coefs : 2.34197 [ 61.39 %]\n", + "Output : 0.00143883 [ 0.04 %]\n", + "Levels : 0.00031695 [ 0.01 %]\n", + "Report : 1.045e-06 [ 0.00 %]\n", + "Balance : 5.72e-07 [ 0.00 %]\n", + "Adjust : 0.840018 [ 22.02 %]\n", + "Total : 3.81461 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6312 613 181 26 10 \n", + "1 : 6341 602 168 23 8 \n", + "2 : 6305 632 177 18 10 \n", + "3 : 6328 625 158 20 11 \n", + "4 : 6337 639 142 17 7 \n", + "5 : 6368 596 143 23 12 \n", + "6 : 6351 592 169 20 10 \n", + "7 : 6300 611 188 28 15 \n", + "8 : 6328 631 149 17 17 \n", + "9 : 6338 594 169 27 14 \n", + "10 : 6347 593 165 26 11 \n", + "11 : 6310 636 162 25 9 \n", + "12 : 6335 607 169 21 10 \n", + "13 : 6371 587 163 21 12 \n", + "\n", + "T : 88671 8558 2303 312 156 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.5%\n", + "--- Update = 5.1559e-02 sec\n", + "--- Collate = 1.1017e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.585899e-05 < 6.250000e-03 [84]\n", + "--- Max DT=3.059946e-01 > 1.000000e-01 [68674]\n", + "----------------------------------------------------------------------\n", + " Component | low: 84/100000\n", + " Component | high: 68674/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=31.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000655934 [ 0.02 %]\n", + "Velocity : 0.00210926 [ 0.05 %]\n", + "Force : 0.660807 [ 16.73 %]\n", + "Coefs : 2.47151 [ 62.58 %]\n", + "Output : 0.00146308 [ 0.04 %]\n", + "Levels : 0.000288254 [ 0.01 %]\n", + "Report : 9.55e-07 [ 0.00 %]\n", + "Balance : 2.69e-07 [ 0.00 %]\n", + "Adjust : 0.812515 [ 20.57 %]\n", + "Total : 3.9494 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6310 618 177 27 10 \n", + "1 : 6345 601 162 23 11 \n", + "2 : 6298 641 176 17 10 \n", + "3 : 6334 620 156 19 13 \n", + "4 : 6341 632 143 17 9 \n", + "5 : 6371 595 142 26 8 \n", + "6 : 6351 594 164 22 11 \n", + "7 : 6306 609 185 25 17 \n", + "8 : 6327 633 148 19 15 \n", + "9 : 6337 597 168 28 12 \n", + "10 : 6338 603 162 27 12 \n", + "11 : 6302 644 167 20 9 \n", + "12 : 6336 613 159 24 10 \n", + "13 : 6369 594 159 19 13 \n", + "\n", + "T : 88665 8594 2268 313 160 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 4.0240e-02 sec\n", + "--- Collate = 7.2935e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.756389e-05 < 6.250000e-03 [78]\n", + "--- Max DT=3.060148e-01 > 1.000000e-01 [68609]\n", + "----------------------------------------------------------------------\n", + " Component | low: 78/100000\n", + " Component | high: 68609/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=31.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000725407 [ 0.02 %]\n", + "Velocity : 0.0019913 [ 0.05 %]\n", + "Force : 0.683056 [ 18.67 %]\n", + "Coefs : 2.21665 [ 60.57 %]\n", + "Output : 0.00132576 [ 0.04 %]\n", + "Levels : 0.000292513 [ 0.01 %]\n", + "Report : 8.07e-07 [ 0.00 %]\n", + "Balance : 2.87e-07 [ 0.00 %]\n", + "Adjust : 0.755377 [ 20.64 %]\n", + "Total : 3.65948 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6309 620 177 25 11 \n", + "1 : 6348 599 161 21 13 \n", + "2 : 6286 652 176 19 9 \n", + "3 : 6337 615 157 22 11 \n", + "4 : 6337 638 140 14 13 \n", + "5 : 6375 589 141 29 8 \n", + "6 : 6346 600 159 25 12 \n", + "7 : 6304 613 180 28 17 \n", + "8 : 6334 622 150 21 15 \n", + "9 : 6334 602 165 30 11 \n", + "10 : 6330 616 156 29 11 \n", + "11 : 6295 652 166 19 10 \n", + "12 : 6334 612 159 26 11 \n", + "13 : 6358 605 159 17 15 \n", + "\n", + "T : 88627 8635 2246 325 167 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 6.6088e-02 sec\n", + "--- Collate = 5.6032e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.096370e-05 < 6.250000e-03 [86]\n", + "--- Max DT=3.060327e-01 > 1.000000e-01 [68524]\n", + "----------------------------------------------------------------------\n", + " Component | low: 86/100000\n", + " Component | high: 68524/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=31.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000666974 [ 0.02 %]\n", + "Velocity : 0.00232911 [ 0.07 %]\n", + "Force : 0.559245 [ 16.98 %]\n", + "Coefs : 2.02407 [ 61.46 %]\n", + "Output : 0.000992389 [ 0.03 %]\n", + "Levels : 0.000268855 [ 0.01 %]\n", + "Report : 1.442e-06 [ 0.00 %]\n", + "Balance : 4.08e-07 [ 0.00 %]\n", + "Adjust : 0.705913 [ 21.43 %]\n", + "Total : 3.29354 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6308 620 177 23 14 \n", + "1 : 6339 613 155 24 11 \n", + "2 : 6284 652 172 23 11 \n", + "3 : 6330 616 161 26 9 \n", + "4 : 6336 637 139 17 13 \n", + "5 : 6378 586 143 23 12 \n", + "6 : 6341 602 161 25 13 \n", + "7 : 6311 606 179 28 18 \n", + "8 : 6335 624 147 22 14 \n", + "9 : 6336 597 165 33 11 \n", + "10 : 6320 624 157 34 7 \n", + "11 : 6295 655 162 19 11 \n", + "12 : 6328 619 161 24 10 \n", + "13 : 6357 605 160 20 12 \n", + "\n", + "T : 88598 8656 2239 341 166 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 37.9%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 5.0564e-02 sec\n", + "--- Collate = 7.0577e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.263909e-05 < 6.250000e-03 [95]\n", + "--- Max DT=3.060486e-01 > 1.000000e-01 [68483]\n", + "----------------------------------------------------------------------\n", + " Component | low: 95/100000\n", + " Component | high: 68483/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=32] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000425044 [ 0.01 %]\n", + "Velocity : 0.00324786 [ 0.08 %]\n", + "Force : 0.677934 [ 17.27 %]\n", + "Coefs : 2.40299 [ 61.21 %]\n", + "Output : 0.0113947 [ 0.29 %]\n", + "Levels : 0.000524113 [ 0.01 %]\n", + "Report : 1.669e-06 [ 0.00 %]\n", + "Balance : 6.25e-07 [ 0.00 %]\n", + "Adjust : 0.829017 [ 21.12 %]\n", + "Total : 3.92559 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6299 627 179 24 13 \n", + "1 : 6334 618 156 21 13 \n", + "2 : 6283 648 175 25 11 \n", + "3 : 6332 611 166 24 9 \n", + "4 : 6332 642 137 17 14 \n", + "5 : 6380 582 147 19 14 \n", + "6 : 6332 609 160 24 17 \n", + "7 : 6309 614 170 30 19 \n", + "8 : 6330 630 145 22 15 \n", + "9 : 6340 591 167 29 15 \n", + "10 : 6313 630 159 32 8 \n", + "11 : 6295 654 164 18 11 \n", + "12 : 6326 619 163 24 10 \n", + "13 : 6352 607 159 24 12 \n", + "\n", + "T : 88557 8682 2247 333 181 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 7.6547e-02 sec\n", + "--- Collate = 1.1000e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.582537e-06 < 6.250000e-03 [96]\n", + "--- Max DT=3.060655e-01 > 1.000000e-01 [68432]\n", + "----------------------------------------------------------------------\n", + " Component | low: 96/100000\n", + " Component | high: 68432/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=32.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000431493 [ 0.01 %]\n", + "Velocity : 0.00197772 [ 0.05 %]\n", + "Force : 0.815817 [ 19.16 %]\n", + "Coefs : 2.5045 [ 58.83 %]\n", + "Output : 0.00119273 [ 0.03 %]\n", + "Levels : 0.000489759 [ 0.01 %]\n", + "Report : 4.07e-07 [ 0.00 %]\n", + "Balance : 2.74e-07 [ 0.00 %]\n", + "Adjust : 0.932813 [ 21.91 %]\n", + "Total : 4.25728 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6304 618 183 23 14 \n", + "1 : 6329 623 154 23 13 \n", + "2 : 6278 648 179 25 12 \n", + "3 : 6328 615 166 20 13 \n", + "4 : 6330 642 138 18 14 \n", + "5 : 6376 590 144 18 14 \n", + "6 : 6329 611 162 23 17 \n", + "7 : 6304 621 164 34 19 \n", + "8 : 6330 631 144 25 12 \n", + "9 : 6337 589 177 22 17 \n", + "10 : 6306 631 166 29 10 \n", + "11 : 6298 652 162 20 10 \n", + "12 : 6319 624 165 25 9 \n", + "13 : 6351 604 163 22 14 \n", + "\n", + "T : 88519 8699 2267 327 188 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 5.0484e-02 sec\n", + "--- Collate = 8.0273e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.253521e-05 < 6.250000e-03 [108]\n", + "--- Max DT=3.060846e-01 > 1.000000e-01 [68388]\n", + "----------------------------------------------------------------------\n", + " Component | low: 108/100000\n", + " Component | high: 68388/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=32.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000590944 [ 0.02 %]\n", + "Velocity : 0.00207864 [ 0.05 %]\n", + "Force : 0.638029 [ 16.26 %]\n", + "Coefs : 2.47159 [ 62.97 %]\n", + "Output : 0.00130443 [ 0.03 %]\n", + "Levels : 0.000737072 [ 0.02 %]\n", + "Report : 4.5052e-05 [ 0.00 %]\n", + "Balance : 4.33e-07 [ 0.00 %]\n", + "Adjust : 0.810676 [ 20.65 %]\n", + "Total : 3.92511 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6293 635 178 20 16 \n", + "1 : 6322 629 150 27 14 \n", + "2 : 6272 653 180 26 11 \n", + "3 : 6328 612 165 25 12 \n", + "4 : 6334 632 145 16 15 \n", + "5 : 6374 588 146 22 12 \n", + "6 : 6327 610 164 24 17 \n", + "7 : 6302 622 166 36 16 \n", + "8 : 6325 632 143 29 13 \n", + "9 : 6339 588 172 28 15 \n", + "10 : 6305 633 165 27 12 \n", + "11 : 6300 653 159 17 13 \n", + "12 : 6316 631 160 23 12 \n", + "13 : 6346 616 156 20 16 \n", + "\n", + "T : 88483 8734 2249 340 194 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 8.2557e-02 sec\n", + "--- Collate = 6.8724e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.745977e-06 < 6.250000e-03 [110]\n", + "--- Max DT=3.060987e-01 > 1.000000e-01 [68347]\n", + "----------------------------------------------------------------------\n", + " Component | low: 110/100000\n", + " Component | high: 68347/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=32.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000693568 [ 0.02 %]\n", + "Velocity : 0.00190772 [ 0.06 %]\n", + "Force : 0.515048 [ 16.79 %]\n", + "Coefs : 1.8254 [ 59.49 %]\n", + "Output : 0.00129942 [ 0.04 %]\n", + "Levels : 0.00047106 [ 0.02 %]\n", + "Report : 1.041e-06 [ 0.00 %]\n", + "Balance : 6.19e-07 [ 0.00 %]\n", + "Adjust : 0.723388 [ 23.58 %]\n", + "Total : 3.06826 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6291 638 178 21 14 \n", + "1 : 6316 631 155 25 15 \n", + "2 : 6268 655 183 23 13 \n", + "3 : 6329 609 165 25 14 \n", + "4 : 6339 621 152 12 18 \n", + "5 : 6379 586 145 17 15 \n", + "6 : 6322 613 168 20 19 \n", + "7 : 6310 618 168 31 15 \n", + "8 : 6330 627 144 24 17 \n", + "9 : 6335 592 172 29 14 \n", + "10 : 6303 639 163 22 15 \n", + "11 : 6292 662 157 16 15 \n", + "12 : 6318 630 159 22 13 \n", + "13 : 6349 610 160 17 18 \n", + "\n", + "T : 88481 8731 2269 304 215 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 6.5570e-02 sec\n", + "--- Collate = 7.1002e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.584840e-06 < 6.250000e-03 [113]\n", + "--- Max DT=3.061137e-01 > 1.000000e-01 [68305]\n", + "----------------------------------------------------------------------\n", + " Component | low: 113/100000\n", + " Component | high: 68305/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=32.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000465625 [ 0.01 %]\n", + "Velocity : 0.00169055 [ 0.04 %]\n", + "Force : 0.648968 [ 17.27 %]\n", + "Coefs : 2.38175 [ 63.36 %]\n", + "Output : 0.00149911 [ 0.04 %]\n", + "Levels : 0.000479105 [ 0.01 %]\n", + "Report : 1.19e-06 [ 0.00 %]\n", + "Balance : 3.65e-07 [ 0.00 %]\n", + "Adjust : 0.723922 [ 19.26 %]\n", + "Total : 3.75884 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6287 642 181 17 15 \n", + "1 : 6319 621 162 26 14 \n", + "2 : 6267 659 179 24 13 \n", + "3 : 6322 615 167 24 14 \n", + "4 : 6337 620 154 13 18 \n", + "5 : 6377 585 146 17 17 \n", + "6 : 6315 615 171 23 18 \n", + "7 : 6307 619 168 35 13 \n", + "8 : 6328 630 144 25 15 \n", + "9 : 6332 598 168 28 16 \n", + "10 : 6300 641 164 23 14 \n", + "11 : 6287 665 158 16 16 \n", + "12 : 6312 636 160 20 14 \n", + "13 : 6345 623 150 19 17 \n", + "\n", + "T : 88435 8769 2272 310 214 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 30.1%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 4.8670e-02 sec\n", + "--- Collate = 6.1318e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.937899e-06 < 6.250000e-03 [121]\n", + "--- Max DT=3.061282e-01 > 1.000000e-01 [68272]\n", + "----------------------------------------------------------------------\n", + " Component | low: 121/100000\n", + " Component | high: 68272/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=32.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000432155 [ 0.01 %]\n", + "Velocity : 0.0013702 [ 0.04 %]\n", + "Force : 0.582193 [ 17.80 %]\n", + "Coefs : 1.93988 [ 59.32 %]\n", + "Output : 0.00125792 [ 0.04 %]\n", + "Levels : 0.00044165 [ 0.01 %]\n", + "Report : 1.376e-06 [ 0.00 %]\n", + "Balance : 5.16e-07 [ 0.00 %]\n", + "Adjust : 0.744425 [ 22.76 %]\n", + "Total : 3.27005 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6289 645 172 24 12 \n", + "1 : 6323 613 168 23 15 \n", + "2 : 6267 660 177 23 15 \n", + "3 : 6316 623 167 20 16 \n", + "4 : 6336 619 158 14 15 \n", + "5 : 6372 590 146 18 16 \n", + "6 : 6308 622 173 22 17 \n", + "7 : 6313 606 171 34 18 \n", + "8 : 6330 626 146 25 15 \n", + "9 : 6330 601 166 30 15 \n", + "10 : 6295 642 166 26 13 \n", + "11 : 6287 661 162 17 15 \n", + "12 : 6312 637 157 21 15 \n", + "13 : 6339 626 155 17 17 \n", + "\n", + "T : 88417 8771 2284 314 214 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 5.6791e-02 sec\n", + "--- Collate = 8.0109e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.206722e-06 < 6.250000e-03 [129]\n", + "--- Max DT=3.061445e-01 > 1.000000e-01 [68232]\n", + "----------------------------------------------------------------------\n", + " Component | low: 129/100000\n", + " Component | high: 68232/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=32.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000360724 [ 0.01 %]\n", + "Velocity : 0.00143062 [ 0.04 %]\n", + "Force : 0.535652 [ 16.09 %]\n", + "Coefs : 2.023 [ 60.76 %]\n", + "Output : 0.000811544 [ 0.02 %]\n", + "Levels : 0.000118674 [ 0.00 %]\n", + "Report : 6.11e-07 [ 0.00 %]\n", + "Balance : 2.33e-07 [ 0.00 %]\n", + "Adjust : 0.76827 [ 23.07 %]\n", + "Total : 3.32967 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6282 655 171 21 13 \n", + "1 : 6329 610 164 22 17 \n", + "2 : 6264 661 178 25 14 \n", + "3 : 6321 620 162 24 15 \n", + "4 : 6320 635 158 13 16 \n", + "5 : 6370 590 148 18 16 \n", + "6 : 6300 632 173 21 16 \n", + "7 : 6315 608 170 32 17 \n", + "8 : 6326 628 146 26 16 \n", + "9 : 6332 597 167 29 17 \n", + "10 : 6286 655 161 25 15 \n", + "11 : 6281 660 167 20 14 \n", + "12 : 6313 638 154 20 17 \n", + "13 : 6341 625 153 22 13 \n", + "\n", + "T : 88380 8814 2272 318 216 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.1%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 6.7431e-02 sec\n", + "--- Collate = 3.8604e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.155214e-05 < 6.250000e-03 [132]\n", + "--- Max DT=3.061561e-01 > 1.000000e-01 [68185]\n", + "----------------------------------------------------------------------\n", + " Component | low: 132/100000\n", + " Component | high: 68185/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=32.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00429142 [ 0.10 %]\n", + "Velocity : 0.00113447 [ 0.03 %]\n", + "Force : 0.720379 [ 17.20 %]\n", + "Coefs : 2.62184 [ 62.61 %]\n", + "Output : 0.000703527 [ 0.02 %]\n", + "Levels : 0.000188929 [ 0.00 %]\n", + "Report : 7.4e-07 [ 0.00 %]\n", + "Balance : 3.87e-07 [ 0.00 %]\n", + "Adjust : 0.839239 [ 20.04 %]\n", + "Total : 4.18781 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6284 647 177 21 13 \n", + "1 : 6324 614 166 19 19 \n", + "2 : 6262 664 176 28 12 \n", + "3 : 6319 620 163 25 15 \n", + "4 : 6320 637 156 17 12 \n", + "5 : 6371 591 148 12 20 \n", + "6 : 6309 623 173 20 17 \n", + "7 : 6317 609 168 30 18 \n", + "8 : 6327 623 151 25 16 \n", + "9 : 6332 597 165 29 19 \n", + "10 : 6280 661 162 23 16 \n", + "11 : 6281 660 166 21 14 \n", + "12 : 6309 640 157 18 18 \n", + "13 : 6337 628 155 21 13 \n", + "\n", + "T : 88372 8814 2283 309 222 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 5.9619e-02 sec\n", + "--- Collate = 1.0017e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.523249e-05 < 6.250000e-03 [123]\n", + "--- Max DT=3.061677e-01 > 1.000000e-01 [68121]\n", + "----------------------------------------------------------------------\n", + " Component | low: 123/100000\n", + " Component | high: 68121/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=32.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000452054 [ 0.01 %]\n", + "Velocity : 0.00130061 [ 0.04 %]\n", + "Force : 0.582494 [ 16.39 %]\n", + "Coefs : 2.28377 [ 64.27 %]\n", + "Output : 0.000770184 [ 0.02 %]\n", + "Levels : 0.000151367 [ 0.00 %]\n", + "Report : 3.76e-07 [ 0.00 %]\n", + "Balance : 1.88e-07 [ 0.00 %]\n", + "Adjust : 0.684656 [ 19.27 %]\n", + "Total : 3.55363 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6279 655 176 19 13 \n", + "1 : 6320 618 162 21 21 \n", + "2 : 6265 661 173 28 15 \n", + "3 : 6317 624 165 21 15 \n", + "4 : 6320 632 159 18 13 \n", + "5 : 6370 591 146 15 20 \n", + "6 : 6297 635 174 22 14 \n", + "7 : 6311 613 170 25 23 \n", + "8 : 6324 627 150 21 20 \n", + "9 : 6326 602 165 28 21 \n", + "10 : 6277 664 161 25 15 \n", + "11 : 6277 668 161 23 13 \n", + "12 : 6308 646 153 19 16 \n", + "13 : 6328 631 162 21 12 \n", + "\n", + "T : 88319 8867 2277 306 231 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 4.3513e-02 sec\n", + "--- Collate = 7.0148e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.168677e-05 < 6.250000e-03 [120]\n", + "--- Max DT=3.061802e-01 > 1.000000e-01 [68092]\n", + "----------------------------------------------------------------------\n", + " Component | low: 120/100000\n", + " Component | high: 68092/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=32.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000215419 [ 0.01 %]\n", + "Velocity : 0.00127943 [ 0.03 %]\n", + "Force : 0.564526 [ 15.28 %]\n", + "Coefs : 2.38858 [ 64.64 %]\n", + "Output : 0.000788508 [ 0.02 %]\n", + "Levels : 0.000334725 [ 0.01 %]\n", + "Report : 3.23e-07 [ 0.00 %]\n", + "Balance : 1.19e-07 [ 0.00 %]\n", + "Adjust : 0.73957 [ 20.01 %]\n", + "Total : 3.69532 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6276 658 176 18 14 \n", + "1 : 6321 612 170 22 17 \n", + "2 : 6260 668 170 32 12 \n", + "3 : 6316 622 166 22 16 \n", + "4 : 6321 627 162 14 18 \n", + "5 : 6364 595 148 17 18 \n", + "6 : 6296 635 175 22 14 \n", + "7 : 6311 611 175 19 26 \n", + "8 : 6325 623 149 29 16 \n", + "9 : 6333 596 161 30 22 \n", + "10 : 6271 668 163 25 15 \n", + "11 : 6282 655 165 24 16 \n", + "12 : 6300 653 156 17 16 \n", + "13 : 6333 626 157 26 12 \n", + "\n", + "T : 88309 8849 2293 317 232 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 6.2270e-02 sec\n", + "--- Collate = 1.1045e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.492385e-05 < 6.250000e-03 [124]\n", + "--- Max DT=3.061900e-01 > 1.000000e-01 [68036]\n", + "----------------------------------------------------------------------\n", + " Component | low: 124/100000\n", + " Component | high: 68036/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=33] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000240247 [ 0.01 %]\n", + "Velocity : 0.00138516 [ 0.04 %]\n", + "Force : 0.495849 [ 14.42 %]\n", + "Coefs : 2.16139 [ 62.84 %]\n", + "Output : 0.00593482 [ 0.17 %]\n", + "Levels : 0.000703487 [ 0.02 %]\n", + "Report : 1.235e-06 [ 0.00 %]\n", + "Balance : 5.32e-07 [ 0.00 %]\n", + "Adjust : 0.773888 [ 22.50 %]\n", + "Total : 3.43942 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6276 670 166 16 14 \n", + "1 : 6317 613 174 21 17 \n", + "2 : 6259 671 169 31 12 \n", + "3 : 6318 615 173 18 18 \n", + "4 : 6326 614 172 13 17 \n", + "5 : 6365 584 155 21 17 \n", + "6 : 6298 633 173 26 12 \n", + "7 : 6306 618 174 21 23 \n", + "8 : 6327 619 153 26 17 \n", + "9 : 6333 599 156 31 23 \n", + "10 : 6267 668 167 23 17 \n", + "11 : 6277 656 169 25 15 \n", + "12 : 6295 655 155 22 15 \n", + "13 : 6325 630 163 20 16 \n", + "\n", + "T : 88289 8845 2319 314 233 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 56.5%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 7.5304e-02 sec\n", + "--- Collate = 1.3042e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.604683e-06 < 6.250000e-03 [126]\n", + "--- Max DT=3.061997e-01 > 1.000000e-01 [68009]\n", + "----------------------------------------------------------------------\n", + " Component | low: 126/100000\n", + " Component | high: 68009/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=33.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00140635 [ 0.03 %]\n", + "Velocity : 0.00233768 [ 0.06 %]\n", + "Force : 0.666291 [ 16.54 %]\n", + "Coefs : 2.52471 [ 62.66 %]\n", + "Output : 0.00188708 [ 0.05 %]\n", + "Levels : 0.00029004 [ 0.01 %]\n", + "Report : 9.42e-07 [ 0.00 %]\n", + "Balance : 3.54e-07 [ 0.00 %]\n", + "Adjust : 0.832083 [ 20.65 %]\n", + "Total : 4.02907 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6278 670 164 16 14 \n", + "1 : 6311 618 179 15 19 \n", + "2 : 6257 678 165 31 11 \n", + "3 : 6320 615 171 20 16 \n", + "4 : 6317 621 172 16 16 \n", + "5 : 6354 594 158 18 18 \n", + "6 : 6295 636 177 24 10 \n", + "7 : 6296 626 174 24 22 \n", + "8 : 6314 633 149 27 19 \n", + "9 : 6332 603 153 32 22 \n", + "10 : 6262 670 166 24 20 \n", + "11 : 6275 661 164 26 16 \n", + "12 : 6300 646 159 21 16 \n", + "13 : 6326 631 164 18 15 \n", + "\n", + "T : 88237 8902 2315 312 234 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 7.6879e-02 sec\n", + "--- Collate = 2.6030e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.631954e-05 < 6.250000e-03 [120]\n", + "--- Max DT=3.062071e-01 > 1.000000e-01 [67966]\n", + "----------------------------------------------------------------------\n", + " Component | low: 120/100000\n", + " Component | high: 67966/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=33.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000888997 [ 0.03 %]\n", + "Velocity : 0.0032259 [ 0.09 %]\n", + "Force : 0.562709 [ 16.13 %]\n", + "Coefs : 2.18583 [ 62.67 %]\n", + "Output : 0.00161143 [ 0.05 %]\n", + "Levels : 0.000392547 [ 0.01 %]\n", + "Report : 9.62e-07 [ 0.00 %]\n", + "Balance : 3.69e-07 [ 0.00 %]\n", + "Adjust : 0.733236 [ 21.02 %]\n", + "Total : 3.48795 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6276 677 162 13 14 \n", + "1 : 6307 627 174 16 18 \n", + "2 : 6253 684 168 26 11 \n", + "3 : 6314 623 168 22 15 \n", + "4 : 6323 615 174 16 14 \n", + "5 : 6356 593 158 19 16 \n", + "6 : 6288 643 175 23 13 \n", + "7 : 6293 630 172 22 25 \n", + "8 : 6315 629 150 27 21 \n", + "9 : 6324 606 155 38 19 \n", + "10 : 6258 674 163 27 20 \n", + "11 : 6272 663 170 25 12 \n", + "12 : 6290 657 158 23 14 \n", + "13 : 6324 633 165 18 14 \n", + "\n", + "T : 88193 8954 2312 315 226 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 4.3325e-02 sec\n", + "--- Collate = 6.0381e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.126530e-06 < 6.250000e-03 [115]\n", + "--- Max DT=3.062162e-01 > 1.000000e-01 [67932]\n", + "----------------------------------------------------------------------\n", + " Component | low: 115/100000\n", + " Component | high: 67932/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=33.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000436257 [ 0.01 %]\n", + "Velocity : 0.00253359 [ 0.08 %]\n", + "Force : 0.519106 [ 16.23 %]\n", + "Coefs : 1.99073 [ 62.23 %]\n", + "Output : 0.00167709 [ 0.05 %]\n", + "Levels : 0.000242366 [ 0.01 %]\n", + "Report : 7.51e-07 [ 0.00 %]\n", + "Balance : 2.98e-07 [ 0.00 %]\n", + "Adjust : 0.684143 [ 21.39 %]\n", + "Total : 3.19892 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6278 677 156 15 16 \n", + "1 : 6305 632 169 20 16 \n", + "2 : 6254 680 169 30 9 \n", + "3 : 6313 623 172 20 14 \n", + "4 : 6324 610 174 17 17 \n", + "5 : 6346 601 162 17 16 \n", + "6 : 6284 643 174 24 17 \n", + "7 : 6286 640 168 25 23 \n", + "8 : 6309 628 154 28 23 \n", + "9 : 6322 610 160 29 21 \n", + "10 : 6264 663 166 29 20 \n", + "11 : 6272 660 169 25 16 \n", + "12 : 6302 645 154 25 16 \n", + "13 : 6317 634 166 24 13 \n", + "\n", + "T : 88176 8946 2313 328 237 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.6%\n", + "--- Update = 7.2971e-02 sec\n", + "--- Collate = 6.0265e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.074068e-06 < 6.250000e-03 [132]\n", + "--- Max DT=3.062244e-01 > 1.000000e-01 [67900]\n", + "----------------------------------------------------------------------\n", + " Component | low: 132/100000\n", + " Component | high: 67900/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=33.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00121708 [ 0.04 %]\n", + "Velocity : 0.00315455 [ 0.12 %]\n", + "Force : 0.523485 [ 19.18 %]\n", + "Coefs : 1.52057 [ 55.71 %]\n", + "Output : 0.00162745 [ 0.06 %]\n", + "Levels : 0.000361882 [ 0.01 %]\n", + "Report : 5.83e-07 [ 0.00 %]\n", + "Balance : 3.07e-07 [ 0.00 %]\n", + "Adjust : 0.678805 [ 24.87 %]\n", + "Total : 2.72928 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6273 680 154 16 19 \n", + "1 : 6301 633 171 25 12 \n", + "2 : 6254 678 174 25 11 \n", + "3 : 6314 617 173 25 13 \n", + "4 : 6323 609 176 17 17 \n", + "5 : 6343 603 162 19 15 \n", + "6 : 6283 646 172 24 17 \n", + "7 : 6275 654 161 26 26 \n", + "8 : 6306 630 154 28 24 \n", + "9 : 6318 610 162 31 21 \n", + "10 : 6265 663 164 29 21 \n", + "11 : 6265 667 168 25 17 \n", + "12 : 6300 646 153 26 17 \n", + "13 : 6314 639 164 24 13 \n", + "\n", + "T : 88134 8975 2308 340 243 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 6.4784e-02 sec\n", + "--- Collate = 7.6227e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.487970e-05 < 6.250000e-03 [137]\n", + "--- Max DT=3.062326e-01 > 1.000000e-01 [67883]\n", + "----------------------------------------------------------------------\n", + " Component | low: 137/100000\n", + " Component | high: 67883/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=33.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00101217 [ 0.02 %]\n", + "Velocity : 0.00315341 [ 0.08 %]\n", + "Force : 0.697232 [ 16.66 %]\n", + "Coefs : 2.60446 [ 62.23 %]\n", + "Output : 0.00177513 [ 0.04 %]\n", + "Levels : 0.0002887 [ 0.01 %]\n", + "Report : 1.262e-06 [ 0.00 %]\n", + "Balance : 6.36e-07 [ 0.00 %]\n", + "Adjust : 0.877057 [ 20.96 %]\n", + "Total : 4.18505 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6263 687 155 18 19 \n", + "1 : 6297 633 173 24 15 \n", + "2 : 6246 684 175 27 10 \n", + "3 : 6309 620 176 23 14 \n", + "4 : 6315 619 173 18 17 \n", + "5 : 6342 598 166 21 15 \n", + "6 : 6285 640 175 24 18 \n", + "7 : 6276 649 166 24 27 \n", + "8 : 6302 633 156 29 22 \n", + "9 : 6326 606 157 29 24 \n", + "10 : 6270 662 161 28 21 \n", + "11 : 6249 681 170 25 17 \n", + "12 : 6290 655 154 27 16 \n", + "13 : 6314 635 170 21 14 \n", + "\n", + "T : 88084 9002 2327 338 249 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 4.3488e-02 sec\n", + "--- Collate = 1.0400e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.925180e-06 < 6.250000e-03 [129]\n", + "--- Max DT=3.062402e-01 > 1.000000e-01 [67884]\n", + "----------------------------------------------------------------------\n", + " Component | low: 129/100000\n", + " Component | high: 67884/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=33.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00104142 [ 0.03 %]\n", + "Velocity : 0.00254429 [ 0.08 %]\n", + "Force : 0.508508 [ 16.88 %]\n", + "Coefs : 1.93593 [ 64.27 %]\n", + "Output : 0.0014509 [ 0.05 %]\n", + "Levels : 0.000312349 [ 0.01 %]\n", + "Report : 1.027e-06 [ 0.00 %]\n", + "Balance : 3.66e-07 [ 0.00 %]\n", + "Adjust : 0.562495 [ 18.67 %]\n", + "Total : 3.01234 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6268 678 160 17 19 \n", + "1 : 6298 633 174 25 12 \n", + "2 : 6254 670 180 24 14 \n", + "3 : 6307 614 186 22 13 \n", + "4 : 6312 621 173 20 16 \n", + "5 : 6335 603 166 26 12 \n", + "6 : 6277 651 175 20 19 \n", + "7 : 6273 649 168 23 29 \n", + "8 : 6300 636 155 29 22 \n", + "9 : 6320 614 155 28 25 \n", + "10 : 6275 658 158 30 21 \n", + "11 : 6249 675 178 24 16 \n", + "12 : 6291 657 154 25 15 \n", + "13 : 6312 637 172 16 17 \n", + "\n", + "T : 88071 8996 2354 329 250 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 41.4%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 5.5042e-02 sec\n", + "--- Collate = 2.7583e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.081116e-05 < 6.250000e-03 [141]\n", + "--- Max DT=3.062475e-01 > 1.000000e-01 [67871]\n", + "----------------------------------------------------------------------\n", + " Component | low: 141/100000\n", + " Component | high: 67871/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=33.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000766747 [ 0.02 %]\n", + "Velocity : 0.0028689 [ 0.09 %]\n", + "Force : 0.572175 [ 18.59 %]\n", + "Coefs : 1.79905 [ 58.46 %]\n", + "Output : 0.00149407 [ 0.05 %]\n", + "Levels : 0.000298861 [ 0.01 %]\n", + "Report : 1.326e-06 [ 0.00 %]\n", + "Balance : 5.28e-07 [ 0.00 %]\n", + "Adjust : 0.700441 [ 22.76 %]\n", + "Total : 3.07715 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6266 680 159 19 18 \n", + "1 : 6299 631 177 22 13 \n", + "2 : 6253 666 185 22 16 \n", + "3 : 6297 628 181 23 13 \n", + "4 : 6313 621 176 19 13 \n", + "5 : 6331 606 171 22 12 \n", + "6 : 6274 652 174 24 18 \n", + "7 : 6271 653 168 25 25 \n", + "8 : 6301 639 150 36 16 \n", + "9 : 6316 618 154 28 26 \n", + "10 : 6273 662 154 28 25 \n", + "11 : 6256 665 177 25 19 \n", + "12 : 6285 659 157 23 18 \n", + "13 : 6315 638 161 21 19 \n", + "\n", + "T : 88050 9018 2344 337 251 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 29.5%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 5.8529e-02 sec\n", + "--- Collate = 4.1270e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.522021e-05 < 6.250000e-03 [146]\n", + "--- Max DT=3.062535e-01 > 1.000000e-01 [67838]\n", + "----------------------------------------------------------------------\n", + " Component | low: 146/100000\n", + " Component | high: 67838/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=33.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000405729 [ 0.01 %]\n", + "Velocity : 0.00150134 [ 0.04 %]\n", + "Force : 0.530822 [ 15.74 %]\n", + "Coefs : 2.1502 [ 63.74 %]\n", + "Output : 0.00134852 [ 0.04 %]\n", + "Levels : 0.000320121 [ 0.01 %]\n", + "Report : 1.228e-06 [ 0.00 %]\n", + "Balance : 4.99e-07 [ 0.00 %]\n", + "Adjust : 0.688818 [ 20.42 %]\n", + "Total : 3.37348 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6272 671 161 23 15 \n", + "1 : 6292 639 174 22 15 \n", + "2 : 6251 668 184 20 19 \n", + "3 : 6290 634 179 25 14 \n", + "4 : 6310 625 168 28 11 \n", + "5 : 6321 618 164 27 12 \n", + "6 : 6280 643 176 26 17 \n", + "7 : 6267 660 164 28 23 \n", + "8 : 6294 643 155 34 16 \n", + "9 : 6317 615 156 30 24 \n", + "10 : 6271 659 157 30 25 \n", + "11 : 6259 658 179 27 19 \n", + "12 : 6281 664 156 25 16 \n", + "13 : 6306 645 163 21 19 \n", + "\n", + "T : 88011 9042 2336 366 245 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.5%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 8.5616e-02 sec\n", + "--- Collate = 1.0031e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.678654e-05 < 6.250000e-03 [148]\n", + "--- Max DT=3.062614e-01 > 1.000000e-01 [67839]\n", + "----------------------------------------------------------------------\n", + " Component | low: 148/100000\n", + " Component | high: 67839/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=33.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000484215 [ 0.01 %]\n", + "Velocity : 0.00151369 [ 0.04 %]\n", + "Force : 0.546726 [ 14.86 %]\n", + "Coefs : 2.35298 [ 63.95 %]\n", + "Output : 0.00152949 [ 0.04 %]\n", + "Levels : 0.00843625 [ 0.23 %]\n", + "Report : 1.249e-06 [ 0.00 %]\n", + "Balance : 5.84e-07 [ 0.00 %]\n", + "Adjust : 0.767473 [ 20.86 %]\n", + "Total : 3.67921 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6276 670 157 25 14 \n", + "1 : 6280 650 174 26 12 \n", + "2 : 6245 676 182 19 20 \n", + "3 : 6286 644 169 27 16 \n", + "4 : 6306 623 173 26 14 \n", + "5 : 6328 610 164 27 13 \n", + "6 : 6284 639 175 23 21 \n", + "7 : 6258 668 164 31 21 \n", + "8 : 6293 641 154 34 20 \n", + "9 : 6311 624 149 34 24 \n", + "10 : 6276 655 159 26 26 \n", + "11 : 6260 660 172 34 16 \n", + "12 : 6276 662 164 22 18 \n", + "13 : 6319 634 161 21 19 \n", + "\n", + "T : 87998 9056 2317 375 254 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 5.6541e-02 sec\n", + "--- Collate = 1.1031e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.133161e-05 < 6.250000e-03 [146]\n", + "--- Max DT=3.062671e-01 > 1.000000e-01 [67812]\n", + "----------------------------------------------------------------------\n", + " Component | low: 146/100000\n", + " Component | high: 67812/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=34] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000515073 [ 0.02 %]\n", + "Velocity : 0.00163396 [ 0.06 %]\n", + "Force : 0.474538 [ 16.98 %]\n", + "Coefs : 1.68647 [ 60.36 %]\n", + "Output : 0.00687599 [ 0.25 %]\n", + "Levels : 0.000751267 [ 0.03 %]\n", + "Report : 1.654e-06 [ 0.00 %]\n", + "Balance : 6.71e-07 [ 0.00 %]\n", + "Adjust : 0.623377 [ 22.31 %]\n", + "Total : 2.79423 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6277 665 161 23 16 \n", + "1 : 6283 643 178 25 13 \n", + "2 : 6236 678 186 24 18 \n", + "3 : 6284 641 177 24 16 \n", + "4 : 6309 617 174 30 12 \n", + "5 : 6328 611 162 27 14 \n", + "6 : 6283 637 177 24 21 \n", + "7 : 6255 668 168 30 21 \n", + "8 : 6294 634 162 32 20 \n", + "9 : 6320 613 151 30 28 \n", + "10 : 6283 643 166 25 25 \n", + "11 : 6247 672 175 28 20 \n", + "12 : 6280 655 167 18 22 \n", + "13 : 6311 641 160 20 22 \n", + "\n", + "T : 87990 9018 2364 360 268 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 14.2%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 7.7683e-02 sec\n", + "--- Collate = 5.3414e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.853553e-06 < 6.250000e-03 [142]\n", + "--- Max DT=3.062735e-01 > 1.000000e-01 [67763]\n", + "----------------------------------------------------------------------\n", + " Component | low: 142/100000\n", + " Component | high: 67763/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=34.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00118899 [ 0.03 %]\n", + "Velocity : 0.00303973 [ 0.08 %]\n", + "Force : 0.686083 [ 17.96 %]\n", + "Coefs : 2.28121 [ 59.71 %]\n", + "Output : 0.00161325 [ 0.04 %]\n", + "Levels : 0.000281726 [ 0.01 %]\n", + "Report : 1.137e-06 [ 0.00 %]\n", + "Balance : 5.57e-07 [ 0.00 %]\n", + "Adjust : 0.846788 [ 22.17 %]\n", + "Total : 3.82026 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6276 669 156 21 20 \n", + "1 : 6283 633 189 24 13 \n", + "2 : 6241 673 183 27 18 \n", + "3 : 6278 652 171 26 15 \n", + "4 : 6301 617 181 32 11 \n", + "5 : 6323 610 169 23 17 \n", + "6 : 6277 641 179 23 22 \n", + "7 : 6253 673 166 27 23 \n", + "8 : 6292 628 169 31 22 \n", + "9 : 6313 616 151 37 25 \n", + "10 : 6274 653 167 23 25 \n", + "11 : 6247 673 174 26 22 \n", + "12 : 6282 649 171 18 22 \n", + "13 : 6321 635 157 20 21 \n", + "\n", + "T : 87961 9022 2383 358 276 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 6.1608e-02 sec\n", + "--- Collate = 3.9855e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.047072e-05 < 6.250000e-03 [144]\n", + "--- Max DT=3.062787e-01 > 1.000000e-01 [67746]\n", + "----------------------------------------------------------------------\n", + " Component | low: 144/100000\n", + " Component | high: 67746/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=34.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000446088 [ 0.01 %]\n", + "Velocity : 0.00713755 [ 0.16 %]\n", + "Force : 0.677184 [ 15.34 %]\n", + "Coefs : 2.9604 [ 67.08 %]\n", + "Output : 0.00156353 [ 0.04 %]\n", + "Levels : 0.000258925 [ 0.01 %]\n", + "Report : 7.58e-07 [ 0.00 %]\n", + "Balance : 5.27e-07 [ 0.00 %]\n", + "Adjust : 0.766247 [ 17.36 %]\n", + "Total : 4.41329 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6280 669 153 20 20 \n", + "1 : 6283 631 193 20 15 \n", + "2 : 6239 674 188 23 18 \n", + "3 : 6274 654 170 28 16 \n", + "4 : 6299 614 188 28 13 \n", + "5 : 6320 612 167 28 15 \n", + "6 : 6277 639 177 29 20 \n", + "7 : 6250 675 170 23 24 \n", + "8 : 6286 633 169 34 20 \n", + "9 : 6305 621 155 36 25 \n", + "10 : 6270 657 167 21 27 \n", + "11 : 6241 678 175 27 21 \n", + "12 : 6284 646 170 21 21 \n", + "13 : 6321 633 160 17 23 \n", + "\n", + "T : 87929 9036 2402 355 278 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 22.6%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 4.1193e-02 sec\n", + "--- Collate = 4.0255e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.015562e-04 < 6.250000e-03 [149]\n", + "--- Max DT=3.062838e-01 > 1.000000e-01 [67749]\n", + "----------------------------------------------------------------------\n", + " Component | low: 149/100000\n", + " Component | high: 67749/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=34.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000492171 [ 0.01 %]\n", + "Velocity : 0.00221023 [ 0.06 %]\n", + "Force : 0.53959 [ 14.63 %]\n", + "Coefs : 2.36803 [ 64.19 %]\n", + "Output : 0.00148155 [ 0.04 %]\n", + "Levels : 0.000302029 [ 0.01 %]\n", + "Report : 9.18e-07 [ 0.00 %]\n", + "Balance : 3.8e-07 [ 0.00 %]\n", + "Adjust : 0.776751 [ 21.06 %]\n", + "Total : 3.68892 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6283 659 159 23 18 \n", + "1 : 6276 636 194 22 14 \n", + "2 : 6233 681 187 24 17 \n", + "3 : 6274 654 172 31 11 \n", + "4 : 6290 618 190 32 12 \n", + "5 : 6305 624 171 26 16 \n", + "6 : 6274 644 176 23 25 \n", + "7 : 6249 673 171 23 26 \n", + "8 : 6288 630 170 33 21 \n", + "9 : 6301 622 158 36 25 \n", + "10 : 6274 651 165 26 26 \n", + "11 : 6241 677 174 27 23 \n", + "12 : 6280 650 172 20 20 \n", + "13 : 6325 627 160 17 25 \n", + "\n", + "T : 87893 9046 2419 363 279 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 5.8542e-02 sec\n", + "--- Collate = 2.0043e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.474121e-05 < 6.250000e-03 [152]\n", + "--- Max DT=3.062900e-01 > 1.000000e-01 [67733]\n", + "----------------------------------------------------------------------\n", + " Component | low: 152/100000\n", + " Component | high: 67733/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=34.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000971615 [ 0.02 %]\n", + "Velocity : 0.0022702 [ 0.06 %]\n", + "Force : 0.664661 [ 16.96 %]\n", + "Coefs : 2.43384 [ 62.09 %]\n", + "Output : 0.00131871 [ 0.03 %]\n", + "Levels : 0.000524922 [ 0.01 %]\n", + "Report : 1.256e-06 [ 0.00 %]\n", + "Balance : 5.13e-07 [ 0.00 %]\n", + "Adjust : 0.816498 [ 20.83 %]\n", + "Total : 3.92014 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6282 653 163 25 19 \n", + "1 : 6264 651 189 24 14 \n", + "2 : 6233 680 189 23 17 \n", + "3 : 6265 659 177 28 13 \n", + "4 : 6289 621 193 25 14 \n", + "5 : 6304 621 171 28 18 \n", + "6 : 6273 645 179 19 26 \n", + "7 : 6252 670 170 27 23 \n", + "8 : 6287 631 172 31 21 \n", + "9 : 6300 620 163 36 23 \n", + "10 : 6277 652 159 29 25 \n", + "11 : 6246 675 168 32 21 \n", + "12 : 6282 651 169 21 19 \n", + "13 : 6326 627 159 21 21 \n", + "\n", + "T : 87880 9056 2421 369 274 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 7.9493e-02 sec\n", + "--- Collate = 3.0331e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.664227e-05 < 6.250000e-03 [160]\n", + "--- Max DT=3.062959e-01 > 1.000000e-01 [67711]\n", + "----------------------------------------------------------------------\n", + " Component | low: 160/100000\n", + " Component | high: 67711/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=34.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000763729 [ 0.02 %]\n", + "Velocity : 0.00244391 [ 0.06 %]\n", + "Force : 0.660219 [ 15.75 %]\n", + "Coefs : 2.68793 [ 64.11 %]\n", + "Output : 0.00141045 [ 0.03 %]\n", + "Levels : 0.000296981 [ 0.01 %]\n", + "Report : 1.016e-06 [ 0.00 %]\n", + "Balance : 4.89e-07 [ 0.00 %]\n", + "Adjust : 0.839499 [ 20.02 %]\n", + "Total : 4.19262 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6275 656 169 24 18 \n", + "1 : 6265 655 179 27 16 \n", + "2 : 6225 685 189 26 17 \n", + "3 : 6267 657 178 29 11 \n", + "4 : 6293 617 194 24 14 \n", + "5 : 6301 622 171 29 19 \n", + "6 : 6265 655 176 21 25 \n", + "7 : 6253 676 162 29 22 \n", + "8 : 6288 628 176 27 23 \n", + "9 : 6298 618 165 37 24 \n", + "10 : 6276 650 164 30 22 \n", + "11 : 6235 683 169 35 20 \n", + "12 : 6279 657 165 20 21 \n", + "13 : 6319 635 151 33 16 \n", + "\n", + "T : 87839 9094 2408 391 268 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.6%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 6.8433e-02 sec\n", + "--- Collate = 1.4021e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.151998e-05 < 6.250000e-03 [150]\n", + "--- Max DT=3.063037e-01 > 1.000000e-01 [67712]\n", + "----------------------------------------------------------------------\n", + " Component | low: 150/100000\n", + " Component | high: 67712/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=34.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000416205 [ 0.01 %]\n", + "Velocity : 0.00182601 [ 0.04 %]\n", + "Force : 0.713177 [ 15.38 %]\n", + "Coefs : 2.95767 [ 63.78 %]\n", + "Output : 0.00151854 [ 0.03 %]\n", + "Levels : 0.000284387 [ 0.01 %]\n", + "Report : 5.55e-07 [ 0.00 %]\n", + "Balance : 3.94e-07 [ 0.00 %]\n", + "Adjust : 0.962545 [ 20.76 %]\n", + "Total : 4.63749 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6271 659 171 23 18 \n", + "1 : 6262 652 187 27 14 \n", + "2 : 6225 675 199 26 17 \n", + "3 : 6266 654 181 27 14 \n", + "4 : 6293 619 189 27 14 \n", + "5 : 6298 627 170 28 19 \n", + "6 : 6267 650 182 21 22 \n", + "7 : 6253 669 168 30 22 \n", + "8 : 6289 628 176 23 26 \n", + "9 : 6299 616 169 31 27 \n", + "10 : 6272 653 166 25 26 \n", + "11 : 6234 679 174 37 18 \n", + "12 : 6276 658 167 18 23 \n", + "13 : 6316 637 153 34 14 \n", + "\n", + "T : 87821 9076 2452 377 274 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 4.6196e-02 sec\n", + "--- Collate = 7.0313e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.806857e-05 < 6.250000e-03 [159]\n", + "--- Max DT=3.063092e-01 > 1.000000e-01 [67722]\n", + "----------------------------------------------------------------------\n", + " Component | low: 159/100000\n", + " Component | high: 67722/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=34.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000415145 [ 0.01 %]\n", + "Velocity : 0.00196952 [ 0.05 %]\n", + "Force : 0.654311 [ 17.65 %]\n", + "Coefs : 2.26776 [ 61.17 %]\n", + "Output : 0.00155515 [ 0.04 %]\n", + "Levels : 0.000640436 [ 0.02 %]\n", + "Report : 9.69e-07 [ 0.00 %]\n", + "Balance : 2.53e-07 [ 0.00 %]\n", + "Adjust : 0.780308 [ 21.05 %]\n", + "Total : 3.70702 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6267 657 181 19 18 \n", + "1 : 6257 654 186 28 17 \n", + "2 : 6209 690 200 25 18 \n", + "3 : 6270 648 183 23 18 \n", + "4 : 6286 622 193 27 14 \n", + "5 : 6301 624 167 29 21 \n", + "6 : 6264 653 180 20 25 \n", + "7 : 6246 665 178 30 23 \n", + "8 : 6291 627 177 20 27 \n", + "9 : 6297 625 166 26 28 \n", + "10 : 6268 659 161 27 27 \n", + "11 : 6232 678 179 34 19 \n", + "12 : 6280 647 170 21 24 \n", + "13 : 6309 645 152 32 16 \n", + "\n", + "T : 87777 9094 2473 361 295 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 5.4543e-02 sec\n", + "--- Collate = 2.0443e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.995448e-06 < 6.250000e-03 [160]\n", + "--- Max DT=3.063150e-01 > 1.000000e-01 [67722]\n", + "----------------------------------------------------------------------\n", + " Component | low: 160/100000\n", + " Component | high: 67722/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=34.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000852287 [ 0.02 %]\n", + "Velocity : 0.00217436 [ 0.06 %]\n", + "Force : 0.614272 [ 17.51 %]\n", + "Coefs : 2.21609 [ 63.16 %]\n", + "Output : 0.00176979 [ 0.05 %]\n", + "Levels : 0.000265283 [ 0.01 %]\n", + "Report : 7.29e-07 [ 0.00 %]\n", + "Balance : 4.72e-07 [ 0.00 %]\n", + "Adjust : 0.673365 [ 19.19 %]\n", + "Total : 3.50885 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6264 648 188 23 19 \n", + "1 : 6255 654 188 26 19 \n", + "2 : 6205 689 204 23 21 \n", + "3 : 6263 657 176 27 19 \n", + "4 : 6272 639 190 29 12 \n", + "5 : 6300 623 167 36 16 \n", + "6 : 6259 652 186 23 22 \n", + "7 : 6248 663 174 34 23 \n", + "8 : 6288 630 178 17 29 \n", + "9 : 6302 623 163 23 31 \n", + "10 : 6269 652 164 30 27 \n", + "11 : 6232 677 176 37 20 \n", + "12 : 6273 655 167 25 22 \n", + "13 : 6304 654 151 26 19 \n", + "\n", + "T : 87734 9116 2472 379 299 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 19.9%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 5.8130e-02 sec\n", + "--- Collate = 7.0306e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.668662e-06 < 6.250000e-03 [169]\n", + "--- Max DT=3.063204e-01 > 1.000000e-01 [67715]\n", + "----------------------------------------------------------------------\n", + " Component | low: 169/100000\n", + " Component | high: 67715/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=34.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000760015 [ 0.02 %]\n", + "Velocity : 0.00220329 [ 0.06 %]\n", + "Force : 0.585304 [ 15.90 %]\n", + "Coefs : 2.27905 [ 61.89 %]\n", + "Output : 0.00136871 [ 0.04 %]\n", + "Levels : 0.000315061 [ 0.01 %]\n", + "Report : 1.348e-06 [ 0.00 %]\n", + "Balance : 5.84e-07 [ 0.00 %]\n", + "Adjust : 0.813236 [ 22.09 %]\n", + "Total : 3.6823 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6260 649 186 27 20 \n", + "1 : 6253 652 195 20 22 \n", + "2 : 6197 693 207 22 23 \n", + "3 : 6260 657 182 26 17 \n", + "4 : 6261 650 190 30 11 \n", + "5 : 6303 623 162 37 17 \n", + "6 : 6257 658 184 19 24 \n", + "7 : 6241 672 170 38 21 \n", + "8 : 6285 631 179 22 25 \n", + "9 : 6302 620 169 22 29 \n", + "10 : 6262 656 164 34 26 \n", + "11 : 6233 671 184 34 20 \n", + "12 : 6272 655 167 26 22 \n", + "13 : 6294 665 147 28 20 \n", + "\n", + "T : 87680 9152 2486 385 297 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 4.8250e-02 sec\n", + "--- Collate = 7.0428e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.329319e-05 < 6.250000e-03 [171]\n", + "--- Max DT=3.063254e-01 > 1.000000e-01 [67721]\n", + "----------------------------------------------------------------------\n", + " Component | low: 171/100000\n", + " Component | high: 67721/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=35] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00504985 [ 0.15 %]\n", + "Velocity : 0.00254782 [ 0.08 %]\n", + "Force : 0.533497 [ 16.34 %]\n", + "Coefs : 1.98678 [ 60.86 %]\n", + "Output : 0.0100191 [ 0.31 %]\n", + "Levels : 0.000230195 [ 0.01 %]\n", + "Report : 1.072e-06 [ 0.00 %]\n", + "Balance : 6.11e-07 [ 0.00 %]\n", + "Adjust : 0.726485 [ 22.25 %]\n", + "Total : 3.26467 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6259 650 184 32 17 \n", + "1 : 6251 652 197 21 21 \n", + "2 : 6206 682 206 23 25 \n", + "3 : 6259 664 175 28 16 \n", + "4 : 6258 655 188 25 16 \n", + "5 : 6304 618 165 39 16 \n", + "6 : 6253 655 184 25 25 \n", + "7 : 6237 675 167 44 19 \n", + "8 : 6284 637 173 26 22 \n", + "9 : 6289 631 171 22 29 \n", + "10 : 6264 653 170 22 33 \n", + "11 : 6221 683 182 37 19 \n", + "12 : 6262 660 173 24 23 \n", + "13 : 6295 658 157 24 20 \n", + "\n", + "T : 87642 9173 2492 392 301 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 1.0234e-01 sec\n", + "--- Collate = 7.0063e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.108528e-06 < 6.250000e-03 [177]\n", + "--- Max DT=3.063317e-01 > 1.000000e-01 [67723]\n", + "----------------------------------------------------------------------\n", + " Component | low: 177/100000\n", + " Component | high: 67723/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=35.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000545497 [ 0.01 %]\n", + "Velocity : 0.00657552 [ 0.17 %]\n", + "Force : 0.628188 [ 16.19 %]\n", + "Coefs : 2.39821 [ 61.79 %]\n", + "Output : 0.00158395 [ 0.04 %]\n", + "Levels : 0.000273083 [ 0.01 %]\n", + "Report : 4.95e-07 [ 0.00 %]\n", + "Balance : 3.04e-07 [ 0.00 %]\n", + "Adjust : 0.84574 [ 21.79 %]\n", + "Total : 3.88117 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6261 645 186 32 18 \n", + "1 : 6249 653 197 24 19 \n", + "2 : 6205 677 212 22 26 \n", + "3 : 6257 660 177 28 20 \n", + "4 : 6260 655 186 23 18 \n", + "5 : 6300 622 169 36 15 \n", + "6 : 6240 667 188 23 24 \n", + "7 : 6230 677 175 40 20 \n", + "8 : 6282 638 173 30 19 \n", + "9 : 6282 638 167 32 23 \n", + "10 : 6266 648 169 24 35 \n", + "11 : 6215 693 179 33 22 \n", + "12 : 6250 662 180 28 22 \n", + "13 : 6295 654 161 21 23 \n", + "\n", + "T : 87592 9189 2519 396 304 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 7.7789e-02 sec\n", + "--- Collate = 8.0223e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.154166e-05 < 6.250000e-03 [171]\n", + "--- Max DT=3.063345e-01 > 1.000000e-01 [67719]\n", + "----------------------------------------------------------------------\n", + " Component | low: 171/100000\n", + " Component | high: 67719/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=35.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00094634 [ 0.02 %]\n", + "Velocity : 0.00319628 [ 0.08 %]\n", + "Force : 0.68904 [ 16.97 %]\n", + "Coefs : 2.54829 [ 62.76 %]\n", + "Output : 0.00164105 [ 0.04 %]\n", + "Levels : 0.000307135 [ 0.01 %]\n", + "Report : 1.193e-06 [ 0.00 %]\n", + "Balance : 4.16e-07 [ 0.00 %]\n", + "Adjust : 0.816641 [ 20.11 %]\n", + "Total : 4.06012 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6262 646 185 34 15 \n", + "1 : 6246 655 198 26 17 \n", + "2 : 6199 681 212 25 25 \n", + "3 : 6251 661 183 29 18 \n", + "4 : 6255 659 187 25 16 \n", + "5 : 6300 615 173 37 17 \n", + "6 : 6228 672 188 29 25 \n", + "7 : 6223 684 170 46 19 \n", + "8 : 6276 639 178 30 19 \n", + "9 : 6272 642 172 33 23 \n", + "10 : 6260 652 172 24 34 \n", + "11 : 6213 686 183 35 25 \n", + "12 : 6242 664 182 32 22 \n", + "13 : 6291 656 159 23 25 \n", + "\n", + "T : 87518 9212 2542 428 300 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 30.1%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 3.4637e-02 sec\n", + "--- Collate = 7.0145e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.718758e-06 < 6.250000e-03 [178]\n", + "--- Max DT=3.063384e-01 > 1.000000e-01 [67729]\n", + "----------------------------------------------------------------------\n", + " Component | low: 178/100000\n", + " Component | high: 67729/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=35.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000922542 [ 0.04 %]\n", + "Velocity : 0.00695793 [ 0.33 %]\n", + "Force : 0.391418 [ 18.51 %]\n", + "Coefs : 1.2431 [ 58.78 %]\n", + "Output : 0.00172766 [ 0.08 %]\n", + "Levels : 0.000394771 [ 0.02 %]\n", + "Report : 9.9e-07 [ 0.00 %]\n", + "Balance : 2.83e-07 [ 0.00 %]\n", + "Adjust : 0.47016 [ 22.23 %]\n", + "Total : 2.11475 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6267 637 191 29 18 \n", + "1 : 6245 661 192 25 19 \n", + "2 : 6204 680 204 27 27 \n", + "3 : 6253 650 192 29 18 \n", + "4 : 6252 659 187 30 14 \n", + "5 : 6297 621 166 37 21 \n", + "6 : 6222 676 185 37 22 \n", + "7 : 6216 691 172 44 19 \n", + "8 : 6273 640 182 26 21 \n", + "9 : 6266 647 167 38 24 \n", + "10 : 6264 651 171 23 33 \n", + "11 : 6216 688 179 35 24 \n", + "12 : 6243 661 183 35 20 \n", + "13 : 6290 665 149 24 26 \n", + "\n", + "T : 87508 9227 2520 439 306 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 9.1321e-02 sec\n", + "--- Collate = 1.0016e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.120306e-05 < 6.250000e-03 [171]\n", + "--- Max DT=3.063389e-01 > 1.000000e-01 [67737]\n", + "----------------------------------------------------------------------\n", + " Component | low: 171/100000\n", + " Component | high: 67737/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=35.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0010074 [ 0.03 %]\n", + "Velocity : 0.00296949 [ 0.09 %]\n", + "Force : 0.568257 [ 17.13 %]\n", + "Coefs : 2.00839 [ 60.54 %]\n", + "Output : 0.00174842 [ 0.05 %]\n", + "Levels : 0.000278421 [ 0.01 %]\n", + "Report : 6.67e-07 [ 0.00 %]\n", + "Balance : 3.09e-07 [ 0.00 %]\n", + "Adjust : 0.734919 [ 22.15 %]\n", + "Total : 3.31763 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6269 633 192 27 21 \n", + "1 : 6245 661 189 24 23 \n", + "2 : 6208 671 211 27 25 \n", + "3 : 6253 642 195 34 18 \n", + "4 : 6258 646 197 29 12 \n", + "5 : 6288 630 164 37 23 \n", + "6 : 6222 666 197 37 20 \n", + "7 : 6217 691 169 43 22 \n", + "8 : 6264 649 180 31 18 \n", + "9 : 6262 649 173 31 27 \n", + "10 : 6257 662 166 31 26 \n", + "11 : 6215 688 177 36 26 \n", + "12 : 6237 662 184 36 23 \n", + "13 : 6283 673 149 23 26 \n", + "\n", + "T : 87478 9223 2543 446 310 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 7.4211e-02 sec\n", + "--- Collate = 1.4025e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.781146e-05 < 6.250000e-03 [170]\n", + "--- Max DT=3.063440e-01 > 1.000000e-01 [67734]\n", + "----------------------------------------------------------------------\n", + " Component | low: 170/100000\n", + " Component | high: 67734/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=35.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0012263 [ 0.03 %]\n", + "Velocity : 0.00353067 [ 0.09 %]\n", + "Force : 0.642528 [ 17.24 %]\n", + "Coefs : 2.24582 [ 60.26 %]\n", + "Output : 0.00164616 [ 0.04 %]\n", + "Levels : 0.000477219 [ 0.01 %]\n", + "Report : 1.42e-06 [ 0.00 %]\n", + "Balance : 5.22e-07 [ 0.00 %]\n", + "Adjust : 0.83155 [ 22.31 %]\n", + "Total : 3.72685 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6265 633 193 29 22 \n", + "1 : 6249 656 186 24 27 \n", + "2 : 6205 678 204 32 23 \n", + "3 : 6255 638 196 35 18 \n", + "4 : 6254 651 199 28 10 \n", + "5 : 6287 632 161 36 26 \n", + "6 : 6229 660 197 33 23 \n", + "7 : 6210 688 181 41 22 \n", + "8 : 6254 653 186 34 15 \n", + "9 : 6266 643 175 32 26 \n", + "10 : 6262 652 172 31 25 \n", + "11 : 6218 681 180 33 30 \n", + "12 : 6231 663 188 39 21 \n", + "13 : 6276 673 157 22 26 \n", + "\n", + "T : 87461 9201 2575 449 314 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 5.7992e-02 sec\n", + "--- Collate = 7.4551e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.264362e-06 < 6.250000e-03 [161]\n", + "--- Max DT=3.063454e-01 > 1.000000e-01 [67749]\n", + "----------------------------------------------------------------------\n", + " Component | low: 161/100000\n", + " Component | high: 67749/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=35.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00086207 [ 0.02 %]\n", + "Velocity : 0.00337933 [ 0.07 %]\n", + "Force : 0.789715 [ 17.33 %]\n", + "Coefs : 2.88459 [ 63.30 %]\n", + "Output : 0.00161447 [ 0.04 %]\n", + "Levels : 0.000338355 [ 0.01 %]\n", + "Report : 1.555e-06 [ 0.00 %]\n", + "Balance : 4.89e-07 [ 0.00 %]\n", + "Adjust : 0.876803 [ 19.24 %]\n", + "Total : 4.55737 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6263 641 185 29 24 \n", + "1 : 6257 646 188 25 26 \n", + "2 : 6194 685 206 35 22 \n", + "3 : 6248 640 199 39 16 \n", + "4 : 6251 650 203 27 11 \n", + "5 : 6290 625 168 31 28 \n", + "6 : 6220 669 195 33 25 \n", + "7 : 6206 690 185 34 27 \n", + "8 : 6253 658 182 36 13 \n", + "9 : 6264 643 174 35 26 \n", + "10 : 6258 649 180 34 21 \n", + "11 : 6204 695 180 33 30 \n", + "12 : 6230 665 189 36 22 \n", + "13 : 6276 669 158 28 23 \n", + "\n", + "T : 87414 9225 2592 455 314 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 4.3%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 8.0752e-02 sec\n", + "--- Collate = 1.7978e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.882453e-05 < 6.250000e-03 [173]\n", + "--- Max DT=3.063464e-01 > 1.000000e-01 [67773]\n", + "----------------------------------------------------------------------\n", + " Component | low: 173/100000\n", + " Component | high: 67773/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=35.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000725825 [ 0.02 %]\n", + "Velocity : 0.00164501 [ 0.04 %]\n", + "Force : 0.658812 [ 15.45 %]\n", + "Coefs : 2.73647 [ 64.19 %]\n", + "Output : 0.00121135 [ 0.03 %]\n", + "Levels : 0.00023137 [ 0.01 %]\n", + "Report : 1.347e-06 [ 0.00 %]\n", + "Balance : 4.47e-07 [ 0.00 %]\n", + "Adjust : 0.864202 [ 20.27 %]\n", + "Total : 4.26335 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6256 650 181 35 20 \n", + "1 : 6244 666 177 32 23 \n", + "2 : 6193 685 206 36 22 \n", + "3 : 6242 649 198 38 15 \n", + "4 : 6241 660 199 28 14 \n", + "5 : 6287 627 166 33 29 \n", + "6 : 6212 678 196 31 25 \n", + "7 : 6204 689 195 28 26 \n", + "8 : 6250 662 182 36 12 \n", + "9 : 6255 650 177 34 26 \n", + "10 : 6262 647 180 35 18 \n", + "11 : 6202 699 175 34 32 \n", + "12 : 6226 677 178 39 22 \n", + "13 : 6274 667 160 39 14 \n", + "\n", + "T : 87348 9306 2570 478 298 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 4.0396e-02 sec\n", + "--- Collate = 2.0332e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.020296e-06 < 6.250000e-03 [171]\n", + "--- Max DT=3.063470e-01 > 1.000000e-01 [67780]\n", + "----------------------------------------------------------------------\n", + " Component | low: 171/100000\n", + " Component | high: 67780/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=35.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000780905 [ 0.02 %]\n", + "Velocity : 0.00178874 [ 0.05 %]\n", + "Force : 0.613381 [ 16.85 %]\n", + "Coefs : 2.28968 [ 62.90 %]\n", + "Output : 0.000929901 [ 0.03 %]\n", + "Levels : 0.000555112 [ 0.02 %]\n", + "Report : 1.214e-06 [ 0.00 %]\n", + "Balance : 7.59e-07 [ 0.00 %]\n", + "Adjust : 0.733298 [ 20.14 %]\n", + "Total : 3.64047 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6255 651 181 36 19 \n", + "1 : 6246 664 174 32 26 \n", + "2 : 6193 680 208 38 23 \n", + "3 : 6235 658 192 40 17 \n", + "4 : 6234 665 199 30 14 \n", + "5 : 6279 627 173 35 28 \n", + "6 : 6210 677 196 31 28 \n", + "7 : 6195 702 188 31 26 \n", + "8 : 6242 669 181 40 10 \n", + "9 : 6252 649 178 35 28 \n", + "10 : 6249 661 176 39 17 \n", + "11 : 6205 691 175 43 28 \n", + "12 : 6224 679 178 36 25 \n", + "13 : 6267 669 164 38 16 \n", + "\n", + "T : 87286 9342 2563 504 305 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.7%\n", + "--- Update = 4.0350e-02 sec\n", + "--- Collate = 5.0285e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.216676e-05 < 6.250000e-03 [163]\n", + "--- Max DT=3.063477e-01 > 1.000000e-01 [67776]\n", + "----------------------------------------------------------------------\n", + " Component | low: 163/100000\n", + " Component | high: 67776/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=35.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000513522 [ 0.01 %]\n", + "Velocity : 0.00266698 [ 0.07 %]\n", + "Force : 0.61998 [ 15.90 %]\n", + "Coefs : 2.55483 [ 65.53 %]\n", + "Output : 0.001519 [ 0.04 %]\n", + "Levels : 0.000234199 [ 0.01 %]\n", + "Report : 4.3e-07 [ 0.00 %]\n", + "Balance : 2.73e-07 [ 0.00 %]\n", + "Adjust : 0.719154 [ 18.44 %]\n", + "Total : 3.89895 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6254 650 181 37 20 \n", + "1 : 6248 659 175 37 23 \n", + "2 : 6182 682 212 41 25 \n", + "3 : 6231 665 190 36 20 \n", + "4 : 6234 665 199 32 12 \n", + "5 : 6274 630 173 43 22 \n", + "6 : 6203 683 199 29 28 \n", + "7 : 6193 691 201 33 24 \n", + "8 : 6244 666 178 39 15 \n", + "9 : 6251 644 185 34 28 \n", + "10 : 6243 665 177 40 17 \n", + "11 : 6203 690 183 36 30 \n", + "12 : 6220 682 180 36 24 \n", + "13 : 6269 661 169 33 22 \n", + "\n", + "T : 87249 9333 2602 506 310 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 6.1511e-02 sec\n", + "--- Collate = 4.4079e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.944410e-06 < 6.250000e-03 [174]\n", + "--- Max DT=3.063466e-01 > 1.000000e-01 [67803]\n", + "----------------------------------------------------------------------\n", + " Component | low: 174/100000\n", + " Component | high: 67803/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=36] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00080481 [ 0.03 %]\n", + "Velocity : 0.00202068 [ 0.06 %]\n", + "Force : 0.552457 [ 17.51 %]\n", + "Coefs : 1.87152 [ 59.30 %]\n", + "Output : 0.0352964 [ 1.12 %]\n", + "Levels : 0.000297903 [ 0.01 %]\n", + "Report : 1.146e-06 [ 0.00 %]\n", + "Balance : 4.85e-07 [ 0.00 %]\n", + "Adjust : 0.693465 [ 21.97 %]\n", + "Total : 3.15592 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6255 645 186 37 19 \n", + "1 : 6242 663 178 37 22 \n", + "2 : 6180 681 216 35 30 \n", + "3 : 6231 669 187 34 21 \n", + "4 : 6225 675 200 31 11 \n", + "5 : 6274 632 171 42 23 \n", + "6 : 6204 676 205 27 30 \n", + "7 : 6195 694 195 32 26 \n", + "8 : 6236 673 175 39 19 \n", + "9 : 6249 642 185 39 27 \n", + "10 : 6235 671 176 44 16 \n", + "11 : 6204 685 186 38 29 \n", + "12 : 6211 684 189 30 28 \n", + "13 : 6264 668 172 29 21 \n", + "\n", + "T : 87205 9358 2621 494 322 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 8.1468e-02 sec\n", + "--- Collate = 7.0344e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.339187e-06 < 6.250000e-03 [175]\n", + "--- Max DT=3.063492e-01 > 1.000000e-01 [67818]\n", + "----------------------------------------------------------------------\n", + " Component | low: 175/100000\n", + " Component | high: 67818/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=36.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000501552 [ 0.01 %]\n", + "Velocity : 0.00219362 [ 0.06 %]\n", + "Force : 0.551463 [ 15.33 %]\n", + "Coefs : 2.2166 [ 61.60 %]\n", + "Output : 0.00139455 [ 0.04 %]\n", + "Levels : 0.000270201 [ 0.01 %]\n", + "Report : 1.337e-06 [ 0.00 %]\n", + "Balance : 5.57e-07 [ 0.00 %]\n", + "Adjust : 0.825666 [ 22.95 %]\n", + "Total : 3.59814 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6247 655 185 38 17 \n", + "1 : 6246 654 180 42 20 \n", + "2 : 6181 677 216 35 33 \n", + "3 : 6229 670 188 34 21 \n", + "4 : 6217 677 202 33 13 \n", + "5 : 6271 628 175 45 23 \n", + "6 : 6209 676 198 31 28 \n", + "7 : 6181 702 197 37 25 \n", + "8 : 6231 680 171 42 18 \n", + "9 : 6245 649 184 41 23 \n", + "10 : 6237 665 184 42 14 \n", + "11 : 6200 686 191 36 29 \n", + "12 : 6210 685 189 31 27 \n", + "13 : 6261 664 179 30 20 \n", + "\n", + "T : 87165 9368 2639 517 311 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 5.4813e-02 sec\n", + "--- Collate = 7.0055e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.061136e-05 < 6.250000e-03 [162]\n", + "--- Max DT=3.063488e-01 > 1.000000e-01 [67814]\n", + "----------------------------------------------------------------------\n", + " Component | low: 162/100000\n", + " Component | high: 67814/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=36.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000459746 [ 0.01 %]\n", + "Velocity : 0.00264887 [ 0.07 %]\n", + "Force : 0.662718 [ 16.80 %]\n", + "Coefs : 2.42704 [ 61.51 %]\n", + "Output : 0.00137989 [ 0.03 %]\n", + "Levels : 0.000245217 [ 0.01 %]\n", + "Report : 7.76e-07 [ 0.00 %]\n", + "Balance : 4.58e-07 [ 0.00 %]\n", + "Adjust : 0.850988 [ 21.57 %]\n", + "Total : 3.94554 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6245 659 181 42 15 \n", + "1 : 6233 668 180 38 23 \n", + "2 : 6176 687 209 39 31 \n", + "3 : 6223 679 185 33 22 \n", + "4 : 6214 683 198 31 16 \n", + "5 : 6267 630 180 42 23 \n", + "6 : 6202 683 194 35 28 \n", + "7 : 6169 706 204 41 22 \n", + "8 : 6227 685 171 41 18 \n", + "9 : 6242 643 188 47 22 \n", + "10 : 6248 654 185 39 16 \n", + "11 : 6195 689 191 42 25 \n", + "12 : 6202 685 197 34 24 \n", + "13 : 6258 661 189 25 21 \n", + "\n", + "T : 87101 9412 2652 529 306 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.9%\n", + "--- Update = 7.1546e-02 sec\n", + "--- Collate = 3.0559e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.329085e-05 < 6.250000e-03 [166]\n", + "--- Max DT=3.063543e-01 > 1.000000e-01 [67830]\n", + "----------------------------------------------------------------------\n", + " Component | low: 166/100000\n", + " Component | high: 67830/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=36.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000771893 [ 0.02 %]\n", + "Velocity : 0.00206578 [ 0.05 %]\n", + "Force : 0.672212 [ 17.15 %]\n", + "Coefs : 2.40459 [ 61.36 %]\n", + "Output : 0.00135765 [ 0.03 %]\n", + "Levels : 0.000244109 [ 0.01 %]\n", + "Report : 6.33e-07 [ 0.00 %]\n", + "Balance : 4.16e-07 [ 0.00 %]\n", + "Adjust : 0.837352 [ 21.37 %]\n", + "Total : 3.91865 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6242 656 187 37 20 \n", + "1 : 6229 668 181 45 19 \n", + "2 : 6172 691 213 36 30 \n", + "3 : 6227 674 187 31 23 \n", + "4 : 6208 687 198 32 17 \n", + "5 : 6271 628 176 46 21 \n", + "6 : 6203 672 203 42 22 \n", + "7 : 6156 714 208 41 23 \n", + "8 : 6214 689 175 47 17 \n", + "9 : 6228 650 196 48 20 \n", + "10 : 6250 648 193 34 17 \n", + "11 : 6191 693 193 41 24 \n", + "12 : 6194 683 209 33 23 \n", + "13 : 6256 663 189 23 23 \n", + "\n", + "T : 87041 9416 2708 536 299 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 18.9%\n", + "--- Adj/Tot = 0.9%\n", + "--- Update = 5.9542e-02 sec\n", + "--- Collate = 5.0135e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.503107e-05 < 6.250000e-03 [168]\n", + "--- Max DT=3.063547e-01 > 1.000000e-01 [67826]\n", + "----------------------------------------------------------------------\n", + " Component | low: 168/100000\n", + " Component | high: 67826/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=36.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000661389 [ 0.02 %]\n", + "Velocity : 0.00168857 [ 0.04 %]\n", + "Force : 0.682308 [ 16.22 %]\n", + "Coefs : 2.62497 [ 62.40 %]\n", + "Output : 0.00101604 [ 0.02 %]\n", + "Levels : 0.000291334 [ 0.01 %]\n", + "Report : 1.641e-06 [ 0.00 %]\n", + "Balance : 6.73e-07 [ 0.00 %]\n", + "Adjust : 0.895657 [ 21.29 %]\n", + "Total : 4.20666 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6238 658 188 42 16 \n", + "1 : 6217 670 189 42 24 \n", + "2 : 6172 687 216 34 33 \n", + "3 : 6215 687 187 30 23 \n", + "4 : 6202 696 189 38 17 \n", + "5 : 6265 633 180 41 23 \n", + "6 : 6205 662 208 48 19 \n", + "7 : 6149 712 215 46 20 \n", + "8 : 6211 693 176 42 20 \n", + "9 : 6228 644 204 45 21 \n", + "10 : 6244 652 199 29 18 \n", + "11 : 6190 688 202 37 25 \n", + "12 : 6198 680 207 34 23 \n", + "13 : 6260 654 192 24 24 \n", + "\n", + "T : 86994 9416 2752 532 306 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 6.0870e-02 sec\n", + "--- Collate = 1.4041e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.571837e-05 < 6.250000e-03 [178]\n", + "--- Max DT=3.063559e-01 > 1.000000e-01 [67819]\n", + "----------------------------------------------------------------------\n", + " Component | low: 178/100000\n", + " Component | high: 67819/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=36.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000629139 [ 0.02 %]\n", + "Velocity : 0.00649214 [ 0.18 %]\n", + "Force : 0.547389 [ 15.02 %]\n", + "Coefs : 2.27448 [ 62.42 %]\n", + "Output : 0.00115174 [ 0.03 %]\n", + "Levels : 0.000243299 [ 0.01 %]\n", + "Report : 1.204e-06 [ 0.00 %]\n", + "Balance : 5.39e-07 [ 0.00 %]\n", + "Adjust : 0.813535 [ 22.33 %]\n", + "Total : 3.64398 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6237 655 191 44 15 \n", + "1 : 6223 659 193 47 20 \n", + "2 : 6172 686 216 37 31 \n", + "3 : 6213 682 187 38 22 \n", + "4 : 6199 694 191 42 16 \n", + "5 : 6266 635 182 38 21 \n", + "6 : 6207 664 204 44 23 \n", + "7 : 6149 714 208 52 19 \n", + "8 : 6208 695 179 40 20 \n", + "9 : 6234 631 206 49 22 \n", + "10 : 6241 651 203 29 18 \n", + "11 : 6196 683 200 37 26 \n", + "12 : 6186 693 204 34 25 \n", + "13 : 6254 654 196 26 24 \n", + "\n", + "T : 86985 9396 2760 557 302 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 32.4%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 5.3548e-02 sec\n", + "--- Collate = 6.0319e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.386893e-05 < 6.250000e-03 [173]\n", + "--- Max DT=3.063591e-01 > 1.000000e-01 [67827]\n", + "----------------------------------------------------------------------\n", + " Component | low: 173/100000\n", + " Component | high: 67827/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=36.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00131038 [ 0.03 %]\n", + "Velocity : 0.00202062 [ 0.05 %]\n", + "Force : 0.700855 [ 16.74 %]\n", + "Coefs : 2.54979 [ 60.90 %]\n", + "Output : 0.00144242 [ 0.03 %]\n", + "Levels : 0.000273761 [ 0.01 %]\n", + "Report : 1.659e-06 [ 0.00 %]\n", + "Balance : 4.61e-07 [ 0.00 %]\n", + "Adjust : 0.931306 [ 22.24 %]\n", + "Total : 4.18706 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6238 648 194 43 19 \n", + "1 : 6220 662 196 44 20 \n", + "2 : 6164 694 215 39 30 \n", + "3 : 6219 667 194 40 22 \n", + "4 : 6200 683 195 43 21 \n", + "5 : 6261 640 185 34 22 \n", + "6 : 6208 665 200 50 19 \n", + "7 : 6141 724 209 48 20 \n", + "8 : 6204 697 182 37 22 \n", + "9 : 6224 635 215 42 26 \n", + "10 : 6231 654 210 28 19 \n", + "11 : 6193 691 194 40 24 \n", + "12 : 6184 694 205 36 23 \n", + "13 : 6250 651 201 31 21 \n", + "\n", + "T : 86937 9405 2795 555 308 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 4.8311e-02 sec\n", + "--- Collate = 2.8553e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.790246e-05 < 6.250000e-03 [163]\n", + "--- Max DT=3.063624e-01 > 1.000000e-01 [67834]\n", + "----------------------------------------------------------------------\n", + " Component | low: 163/100000\n", + " Component | high: 67834/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=36.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000493685 [ 0.01 %]\n", + "Velocity : 0.00197128 [ 0.05 %]\n", + "Force : 0.662168 [ 15.51 %]\n", + "Coefs : 2.74668 [ 64.34 %]\n", + "Output : 0.00145034 [ 0.03 %]\n", + "Levels : 0.000271587 [ 0.01 %]\n", + "Report : 6.36e-07 [ 0.00 %]\n", + "Balance : 4.33e-07 [ 0.00 %]\n", + "Adjust : 0.856181 [ 20.05 %]\n", + "Total : 4.26927 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6229 654 198 45 16 \n", + "1 : 6213 662 204 43 20 \n", + "2 : 6162 689 221 41 29 \n", + "3 : 6223 657 197 41 24 \n", + "4 : 6196 687 197 40 22 \n", + "5 : 6259 638 186 32 27 \n", + "6 : 6204 668 210 41 19 \n", + "7 : 6140 726 205 53 18 \n", + "8 : 6198 699 186 37 22 \n", + "9 : 6219 636 217 45 25 \n", + "10 : 6230 661 201 31 19 \n", + "11 : 6181 697 199 40 25 \n", + "12 : 6172 709 200 36 25 \n", + "13 : 6250 644 207 34 19 \n", + "\n", + "T : 86876 9427 2828 559 310 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.9%\n", + "--- Update = 7.5755e-02 sec\n", + "--- Collate = 2.9483e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.566493e-05 < 6.250000e-03 [160]\n", + "--- Max DT=3.063641e-01 > 1.000000e-01 [67849]\n", + "----------------------------------------------------------------------\n", + " Component | low: 160/100000\n", + " Component | high: 67849/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=36.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000654393 [ 0.02 %]\n", + "Velocity : 0.00249671 [ 0.07 %]\n", + "Force : 0.66351 [ 17.90 %]\n", + "Coefs : 2.29103 [ 61.79 %]\n", + "Output : 0.00140034 [ 0.04 %]\n", + "Levels : 0.000314859 [ 0.01 %]\n", + "Report : 7.93e-07 [ 0.00 %]\n", + "Balance : 4.2e-07 [ 0.00 %]\n", + "Adjust : 0.748211 [ 20.18 %]\n", + "Total : 3.70768 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6222 663 195 45 17 \n", + "1 : 6209 655 216 40 22 \n", + "2 : 6156 695 226 35 30 \n", + "3 : 6224 651 203 43 21 \n", + "4 : 6194 684 203 39 22 \n", + "5 : 6251 639 191 34 27 \n", + "6 : 6207 665 207 39 24 \n", + "7 : 6141 724 207 50 20 \n", + "8 : 6195 697 191 37 22 \n", + "9 : 6215 638 220 43 26 \n", + "10 : 6227 663 200 36 16 \n", + "11 : 6178 699 199 41 25 \n", + "12 : 6170 708 202 36 26 \n", + "13 : 6239 651 210 38 16 \n", + "\n", + "T : 86828 9432 2870 556 314 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.9%\n", + "--- Adj/Tot = 0.8%\n", + "--- Update = 6.9570e-02 sec\n", + "--- Collate = 8.0197e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.277171e-06 < 6.250000e-03 [162]\n", + "--- Max DT=3.063654e-01 > 1.000000e-01 [67861]\n", + "----------------------------------------------------------------------\n", + " Component | low: 162/100000\n", + " Component | high: 67861/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=36.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000443178 [ 0.01 %]\n", + "Velocity : 0.00823511 [ 0.20 %]\n", + "Force : 0.642734 [ 15.99 %]\n", + "Coefs : 2.47033 [ 61.46 %]\n", + "Output : 0.00151267 [ 0.04 %]\n", + "Levels : 0.000273081 [ 0.01 %]\n", + "Report : 8.37e-07 [ 0.00 %]\n", + "Balance : 4.03e-07 [ 0.00 %]\n", + "Adjust : 0.895753 [ 22.29 %]\n", + "Total : 4.01934 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6218 659 200 51 14 \n", + "1 : 6198 659 223 39 23 \n", + "2 : 6154 696 225 36 31 \n", + "3 : 6223 652 207 40 20 \n", + "4 : 6195 680 208 36 23 \n", + "5 : 6250 642 188 38 24 \n", + "6 : 6200 674 204 36 28 \n", + "7 : 6137 721 214 52 18 \n", + "8 : 6194 696 194 39 19 \n", + "9 : 6221 625 223 48 25 \n", + "10 : 6214 677 192 41 18 \n", + "11 : 6175 704 197 39 27 \n", + "12 : 6178 694 206 35 29 \n", + "13 : 6235 656 208 38 17 \n", + "\n", + "T : 86792 9435 2889 568 316 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 0.9%\n", + "--- Update = 1.0490e-01 sec\n", + "--- Collate = 8.0453e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.580589e-06 < 6.250000e-03 [158]\n", + "--- Max DT=3.063653e-01 > 1.000000e-01 [67879]\n", + "----------------------------------------------------------------------\n", + " Component | low: 158/100000\n", + " Component | high: 67879/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=37] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000842772 [ 0.02 %]\n", + "Velocity : 0.00970895 [ 0.19 %]\n", + "Force : 0.91366 [ 17.72 %]\n", + "Coefs : 3.07092 [ 59.56 %]\n", + "Output : 0.0104992 [ 0.20 %]\n", + "Levels : 0.000328694 [ 0.01 %]\n", + "Report : 1.094e-06 [ 0.00 %]\n", + "Balance : 7.24e-07 [ 0.00 %]\n", + "Adjust : 1.15014 [ 22.31 %]\n", + "Total : 5.15616 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6210 667 200 50 15 \n", + "1 : 6199 656 225 41 21 \n", + "2 : 6144 695 241 35 27 \n", + "3 : 6215 644 226 36 21 \n", + "4 : 6185 687 207 41 22 \n", + "5 : 6238 656 186 39 23 \n", + "6 : 6204 665 210 35 28 \n", + "7 : 6134 723 216 49 20 \n", + "8 : 6195 690 197 39 21 \n", + "9 : 6217 629 223 47 26 \n", + "10 : 6213 673 199 42 15 \n", + "11 : 6177 697 201 41 26 \n", + "12 : 6177 692 208 41 24 \n", + "13 : 6231 657 219 31 16 \n", + "\n", + "T : 86739 9431 2958 567 305 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 0.9%\n", + "--- Update = 6.5400e-02 sec\n", + "--- Collate = 5.0034e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.054474e-05 < 6.250000e-03 [178]\n", + "--- Max DT=3.063638e-01 > 1.000000e-01 [67871]\n", + "----------------------------------------------------------------------\n", + " Component | low: 178/100000\n", + " Component | high: 67871/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=37.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000453583 [ 0.01 %]\n", + "Velocity : 0.00212744 [ 0.04 %]\n", + "Force : 0.8336 [ 15.63 %]\n", + "Coefs : 3.45856 [ 64.85 %]\n", + "Output : 0.00150783 [ 0.03 %]\n", + "Levels : 0.000271489 [ 0.01 %]\n", + "Report : 1.381e-06 [ 0.00 %]\n", + "Balance : 5.02e-07 [ 0.00 %]\n", + "Adjust : 1.03632 [ 19.43 %]\n", + "Total : 5.3329 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6205 667 205 48 17 \n", + "1 : 6196 659 229 38 20 \n", + "2 : 6141 689 246 40 26 \n", + "3 : 6211 647 222 40 22 \n", + "4 : 6188 680 213 39 22 \n", + "5 : 6231 658 191 36 26 \n", + "6 : 6202 665 216 34 25 \n", + "7 : 6131 721 226 44 20 \n", + "8 : 6188 701 192 38 23 \n", + "9 : 6216 629 225 45 27 \n", + "10 : 6219 668 198 39 18 \n", + "11 : 6163 701 208 43 27 \n", + "12 : 6177 686 209 42 28 \n", + "13 : 6220 665 222 31 16 \n", + "\n", + "T : 86688 9436 3002 557 317 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 7.3%\n", + "--- Adj/Tot = 0.9%\n", + "--- Update = 9.7482e-02 sec\n", + "--- Collate = 2.0034e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.157542e-06 < 6.250000e-03 [180]\n", + "--- Max DT=3.063612e-01 > 1.000000e-01 [67900]\n", + "----------------------------------------------------------------------\n", + " Component | low: 180/100000\n", + " Component | high: 67900/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=37.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000682007 [ 0.02 %]\n", + "Velocity : 0.00317686 [ 0.09 %]\n", + "Force : 0.595333 [ 16.66 %]\n", + "Coefs : 2.21211 [ 61.91 %]\n", + "Output : 0.00139474 [ 0.04 %]\n", + "Levels : 0.000371887 [ 0.01 %]\n", + "Report : 1.169e-06 [ 0.00 %]\n", + "Balance : 5.43e-07 [ 0.00 %]\n", + "Adjust : 0.759818 [ 21.27 %]\n", + "Total : 3.57295 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6198 669 215 42 18 \n", + "1 : 6190 670 220 39 23 \n", + "2 : 6136 694 243 44 25 \n", + "3 : 6212 642 227 36 25 \n", + "4 : 6187 679 216 37 23 \n", + "5 : 6227 658 197 36 24 \n", + "6 : 6201 665 214 38 24 \n", + "7 : 6124 728 226 41 23 \n", + "8 : 6190 695 190 45 22 \n", + "9 : 6211 635 221 46 29 \n", + "10 : 6220 664 201 39 18 \n", + "11 : 6159 704 208 47 24 \n", + "12 : 6175 692 203 44 28 \n", + "13 : 6218 667 223 31 15 \n", + "\n", + "T : 86648 9462 3004 565 321 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 0.9%\n", + "--- Update = 3.6476e-02 sec\n", + "--- Collate = 1.4020e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.411944e-06 < 6.250000e-03 [188]\n", + "--- Max DT=3.063603e-01 > 1.000000e-01 [67922]\n", + "----------------------------------------------------------------------\n", + " Component | low: 188/100000\n", + " Component | high: 67922/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=37.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000644922 [ 0.02 %]\n", + "Velocity : 0.00249467 [ 0.07 %]\n", + "Force : 0.64001 [ 18.47 %]\n", + "Coefs : 2.05314 [ 59.25 %]\n", + "Output : 0.00118864 [ 0.03 %]\n", + "Levels : 0.000260471 [ 0.01 %]\n", + "Report : 1.083e-06 [ 0.00 %]\n", + "Balance : 5.48e-07 [ 0.00 %]\n", + "Adjust : 0.767622 [ 22.15 %]\n", + "Total : 3.46542 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6197 669 216 41 19 \n", + "1 : 6184 678 221 37 22 \n", + "2 : 6137 688 252 42 23 \n", + "3 : 6202 648 233 34 25 \n", + "4 : 6188 677 217 34 26 \n", + "5 : 6224 659 201 34 24 \n", + "6 : 6195 667 220 39 21 \n", + "7 : 6124 723 224 44 27 \n", + "8 : 6193 690 194 40 25 \n", + "9 : 6203 644 219 45 31 \n", + "10 : 6212 659 215 40 16 \n", + "11 : 6165 696 209 47 25 \n", + "12 : 6174 694 203 43 28 \n", + "13 : 6209 679 222 27 17 \n", + "\n", + "T : 86607 9471 3046 547 329 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 29.0%\n", + "--- Adj/Tot = 1.0%\n", + "--- Update = 4.5609e-02 sec\n", + "--- Collate = 6.4438e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.071313e-05 < 6.250000e-03 [190]\n", + "--- Max DT=3.063569e-01 > 1.000000e-01 [67945]\n", + "----------------------------------------------------------------------\n", + " Component | low: 190/100000\n", + " Component | high: 67945/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=37.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000825372 [ 0.02 %]\n", + "Velocity : 0.00191901 [ 0.05 %]\n", + "Force : 0.633888 [ 16.71 %]\n", + "Coefs : 2.36268 [ 62.29 %]\n", + "Output : 0.00104781 [ 0.03 %]\n", + "Levels : 0.000243043 [ 0.01 %]\n", + "Report : 1.55e-06 [ 0.00 %]\n", + "Balance : 4.8e-07 [ 0.00 %]\n", + "Adjust : 0.792413 [ 20.89 %]\n", + "Total : 3.79307 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6190 677 213 41 21 \n", + "1 : 6172 689 224 38 19 \n", + "2 : 6129 696 252 41 24 \n", + "3 : 6198 649 234 38 23 \n", + "4 : 6178 683 220 35 26 \n", + "5 : 6216 670 199 33 24 \n", + "6 : 6183 678 216 44 21 \n", + "7 : 6120 717 234 42 29 \n", + "8 : 6192 683 199 43 25 \n", + "9 : 6200 641 223 47 31 \n", + "10 : 6206 662 216 40 18 \n", + "11 : 6163 697 211 45 26 \n", + "12 : 6160 699 216 42 25 \n", + "13 : 6203 685 219 30 17 \n", + "\n", + "T : 86510 9526 3076 559 329 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 1.0%\n", + "--- Update = 5.5082e-02 sec\n", + "--- Collate = 2.0256e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.742201e-06 < 6.250000e-03 [191]\n", + "--- Max DT=3.063518e-01 > 1.000000e-01 [67977]\n", + "----------------------------------------------------------------------\n", + " Component | low: 191/100000\n", + " Component | high: 67977/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=37.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000556008 [ 0.02 %]\n", + "Velocity : 0.00265064 [ 0.09 %]\n", + "Force : 0.486455 [ 16.31 %]\n", + "Coefs : 1.82749 [ 61.26 %]\n", + "Output : 0.00156891 [ 0.05 %]\n", + "Levels : 0.000246476 [ 0.01 %]\n", + "Report : 5.95e-07 [ 0.00 %]\n", + "Balance : 2.57e-07 [ 0.00 %]\n", + "Adjust : 0.664366 [ 22.27 %]\n", + "Total : 2.9834 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6186 678 211 47 20 \n", + "1 : 6171 694 215 43 19 \n", + "2 : 6120 704 246 51 21 \n", + "3 : 6191 655 231 39 26 \n", + "4 : 6182 680 216 38 26 \n", + "5 : 6215 666 205 32 24 \n", + "6 : 6180 685 216 39 22 \n", + "7 : 6120 713 237 45 27 \n", + "8 : 6188 681 203 44 26 \n", + "9 : 6198 642 217 47 38 \n", + "10 : 6199 668 217 41 17 \n", + "11 : 6169 687 214 44 28 \n", + "12 : 6154 705 221 40 22 \n", + "13 : 6207 686 216 31 14 \n", + "\n", + "T : 86480 9544 3065 581 330 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 8.7%\n", + "--- Adj/Tot = 1.0%\n", + "--- Update = 3.7496e-02 sec\n", + "--- Collate = 3.2730e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.239753e-05 < 6.250000e-03 [199]\n", + "--- Max DT=3.063459e-01 > 1.000000e-01 [68000]\n", + "----------------------------------------------------------------------\n", + " Component | low: 199/100000\n", + " Component | high: 68000/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=37.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00369367 [ 0.10 %]\n", + "Velocity : 0.00330552 [ 0.09 %]\n", + "Force : 0.627458 [ 17.42 %]\n", + "Coefs : 2.25992 [ 62.73 %]\n", + "Output : 0.00172575 [ 0.05 %]\n", + "Levels : 0.000289345 [ 0.01 %]\n", + "Report : 8.11e-07 [ 0.00 %]\n", + "Balance : 4.22e-07 [ 0.00 %]\n", + "Adjust : 0.706091 [ 19.60 %]\n", + "Total : 3.60255 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6173 684 218 47 20 \n", + "1 : 6169 693 224 36 20 \n", + "2 : 6116 701 252 51 22 \n", + "3 : 6188 658 230 46 20 \n", + "4 : 6177 690 209 38 28 \n", + "5 : 6214 671 197 36 24 \n", + "6 : 6173 687 218 40 24 \n", + "7 : 6117 718 237 41 29 \n", + "8 : 6174 692 205 46 25 \n", + "9 : 6197 647 209 51 38 \n", + "10 : 6190 672 224 40 16 \n", + "11 : 6160 696 212 45 29 \n", + "12 : 6153 703 225 43 18 \n", + "13 : 6201 688 211 37 17 \n", + "\n", + "T : 86402 9600 3071 597 330 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info in comp, mlevel=0--------------------------------------\n", + "----------------------------------------------------------------------\n", + " COM: 2.821880e-04\n", + " Position: 2.194782e+01\n", + " --------------------------------------------------\n", + " *** fix pos : 1.115736e+01 \n", + " --------------------------------------------------\n", + " Ang mom: 3.180209e+00\n", + " Zero: 1.030671e-01\n", + " Accel: 3.020564e+00\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " Interaction: 4.790520e-04\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " External: 7.853370e-04\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " Expand: 1.864133e+02\n", + " Force: 3.127565e+00\n", + " Elapsed: 3.001092e+02\n", + "----------------------------------------------------------------------\n", + "\n", + "mstep/Mstep=0/16\n", + "0 |81 1 |81 2 |161 3 |323 4 |646 \n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 5.9283e-02 sec\n", + "--- Collate = 6.0396e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.095088e-05 < 6.250000e-03 [194]\n", + "--- Max DT=3.063406e-01 > 1.000000e-01 [67997]\n", + "----------------------------------------------------------------------\n", + " Component | low: 194/100000\n", + " Component | high: 67997/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=37.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00122276 [ 0.03 %]\n", + "Velocity : 0.00309565 [ 0.07 %]\n", + "Force : 0.809601 [ 17.89 %]\n", + "Coefs : 2.63566 [ 58.25 %]\n", + "Output : 0.00142922 [ 0.03 %]\n", + "Levels : 0.000306393 [ 0.01 %]\n", + "Report : 1.062e-06 [ 0.00 %]\n", + "Balance : 3.87e-07 [ 0.00 %]\n", + "Adjust : 1.07318 [ 23.72 %]\n", + "Total : 4.52456 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6172 688 215 45 22 \n", + "1 : 6167 697 215 41 22 \n", + "2 : 6114 716 234 57 21 \n", + "3 : 6181 656 238 44 23 \n", + "4 : 6171 688 216 37 30 \n", + "5 : 6214 672 193 40 23 \n", + "6 : 6169 690 221 38 24 \n", + "7 : 6111 718 238 48 27 \n", + "8 : 6171 685 213 50 23 \n", + "9 : 6187 652 218 52 33 \n", + "10 : 6189 671 229 34 19 \n", + "11 : 6156 691 219 46 30 \n", + "12 : 6150 703 228 41 20 \n", + "13 : 6196 691 214 37 16 \n", + "\n", + "T : 86348 9618 3091 610 333 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.0%\n", + "--- Update = 4.9184e-02 sec\n", + "--- Collate = 5.0349e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.600542e-05 < 6.250000e-03 [179]\n", + "--- Max DT=3.063347e-01 > 1.000000e-01 [67996]\n", + "----------------------------------------------------------------------\n", + " Component | low: 179/100000\n", + " Component | high: 67996/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=37.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000547078 [ 0.01 %]\n", + "Velocity : 0.00255836 [ 0.06 %]\n", + "Force : 0.657051 [ 15.74 %]\n", + "Coefs : 2.66623 [ 63.87 %]\n", + "Output : 0.00136899 [ 0.03 %]\n", + "Levels : 0.000267799 [ 0.01 %]\n", + "Report : 8.97e-07 [ 0.00 %]\n", + "Balance : 4.55e-07 [ 0.00 %]\n", + "Adjust : 0.846287 [ 20.27 %]\n", + "Total : 4.17438 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6171 685 219 42 25 \n", + "1 : 6160 706 211 40 25 \n", + "2 : 6109 717 237 54 25 \n", + "3 : 6173 658 244 43 24 \n", + "4 : 6167 696 210 38 31 \n", + "5 : 6214 672 193 41 22 \n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "6 : 6165 695 220 40 22 \n", + "7 : 6107 717 242 49 27 \n", + "8 : 6169 686 218 42 27 \n", + "9 : 6179 659 221 52 31 \n", + "10 : 6184 673 229 35 21 \n", + "11 : 6149 697 221 42 33 \n", + "12 : 6141 713 228 39 21 \n", + "13 : 6187 697 213 45 12 \n", + "\n", + "T : 86275 9671 3106 602 346 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 5.1279e-02 sec\n", + "--- Collate = 8.0231e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.925804e-06 < 6.250000e-03 [170]\n", + "--- Max DT=3.066362e-01 > 1.000000e-01 [68014]\n", + "----------------------------------------------------------------------\n", + " Component | low: 170/100000\n", + " Component | high: 68014/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=37.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000923754 [ 0.03 %]\n", + "Velocity : 0.0032413 [ 0.09 %]\n", + "Force : 0.520435 [ 15.03 %]\n", + "Coefs : 2.24019 [ 64.68 %]\n", + "Output : 0.00159861 [ 0.05 %]\n", + "Levels : 0.00026011 [ 0.01 %]\n", + "Report : 5.65e-07 [ 0.00 %]\n", + "Balance : 3.07e-07 [ 0.00 %]\n", + "Adjust : 0.696728 [ 20.12 %]\n", + "Total : 3.46343 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6170 694 211 42 25 \n", + "1 : 6160 706 209 40 27 \n", + "2 : 6116 712 236 55 23 \n", + "3 : 6170 656 250 44 22 \n", + "4 : 6163 695 211 45 28 \n", + "5 : 6213 678 190 41 20 \n", + "6 : 6167 691 218 40 26 \n", + "7 : 6098 727 246 42 29 \n", + "8 : 6165 684 220 48 25 \n", + "9 : 6175 650 231 53 33 \n", + "10 : 6176 680 227 39 20 \n", + "11 : 6146 696 224 40 36 \n", + "12 : 6137 718 229 39 19 \n", + "13 : 6177 706 215 40 16 \n", + "\n", + "T : 86233 9693 3117 608 349 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 5.6505e-02 sec\n", + "--- Collate = 6.9986e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.037749e-05 < 6.250000e-03 [178]\n", + "--- Max DT=3.071022e-01 > 1.000000e-01 [68036]\n", + "----------------------------------------------------------------------\n", + " Component | low: 178/100000\n", + " Component | high: 68036/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=38] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00111483 [ 0.03 %]\n", + "Velocity : 0.00327996 [ 0.09 %]\n", + "Force : 0.553746 [ 15.79 %]\n", + "Coefs : 2.19169 [ 62.48 %]\n", + "Output : 0.0138934 [ 0.40 %]\n", + "Levels : 0.00889093 [ 0.25 %]\n", + "Report : 1.719e-06 [ 0.00 %]\n", + "Balance : 4.69e-07 [ 0.00 %]\n", + "Adjust : 0.735091 [ 20.96 %]\n", + "Total : 3.50776 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6163 695 214 50 20 \n", + "1 : 6154 708 214 36 30 \n", + "2 : 6123 695 242 58 24 \n", + "3 : 6161 663 257 38 23 \n", + "4 : 6160 696 212 44 30 \n", + "5 : 6208 675 201 38 20 \n", + "6 : 6163 694 215 50 20 \n", + "7 : 6097 727 246 42 30 \n", + "8 : 6166 676 232 42 26 \n", + "9 : 6182 641 232 56 31 \n", + "10 : 6169 686 222 46 19 \n", + "11 : 6140 704 221 45 32 \n", + "12 : 6139 719 226 37 21 \n", + "13 : 6173 717 202 46 16 \n", + "\n", + "T : 86198 9696 3136 628 342 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 5.2097e-02 sec\n", + "--- Collate = 1.0032e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.021198e-05 < 6.250000e-03 [179]\n", + "--- Max DT=3.075618e-01 > 1.000000e-01 [68075]\n", + "----------------------------------------------------------------------\n", + " Component | low: 179/100000\n", + " Component | high: 68075/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=38.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00211873 [ 0.06 %]\n", + "Velocity : 0.00280025 [ 0.08 %]\n", + "Force : 0.650252 [ 18.70 %]\n", + "Coefs : 2.17095 [ 62.43 %]\n", + "Output : 0.00173704 [ 0.05 %]\n", + "Levels : 0.000385237 [ 0.01 %]\n", + "Report : 8.69e-07 [ 0.00 %]\n", + "Balance : 3.9e-07 [ 0.00 %]\n", + "Adjust : 0.64907 [ 18.67 %]\n", + "Total : 3.47737 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6158 694 218 54 18 \n", + "1 : 6150 705 217 40 30 \n", + "2 : 6118 702 244 54 24 \n", + "3 : 6151 678 247 42 24 \n", + "4 : 6164 684 222 37 35 \n", + "5 : 6203 675 207 37 20 \n", + "6 : 6164 693 221 43 21 \n", + "7 : 6101 727 245 38 31 \n", + "8 : 6166 668 234 46 28 \n", + "9 : 6180 641 234 60 27 \n", + "10 : 6160 686 227 47 22 \n", + "11 : 6139 699 228 46 30 \n", + "12 : 6134 718 235 35 20 \n", + "13 : 6156 726 207 44 21 \n", + "\n", + "T : 86144 9696 3186 623 351 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 1.0%\n", + "--- Update = 5.4304e-02 sec\n", + "--- Collate = 8.0038e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.012953e-05 < 6.250000e-03 [188]\n", + "--- Max DT=3.080113e-01 > 1.000000e-01 [68096]\n", + "----------------------------------------------------------------------\n", + " Component | low: 188/100000\n", + " Component | high: 68096/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=38.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000825977 [ 0.03 %]\n", + "Velocity : 0.00334387 [ 0.14 %]\n", + "Force : 0.504698 [ 20.60 %]\n", + "Coefs : 1.29269 [ 52.77 %]\n", + "Output : 0.00141993 [ 0.06 %]\n", + "Levels : 0.000266465 [ 0.01 %]\n", + "Report : 5.32e-07 [ 0.00 %]\n", + "Balance : 3.17e-07 [ 0.00 %]\n", + "Adjust : 0.646419 [ 26.39 %]\n", + "Total : 2.44971 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6157 695 218 50 22 \n", + "1 : 6153 696 219 42 32 \n", + "2 : 6112 701 251 55 23 \n", + "3 : 6146 683 245 44 24 \n", + "4 : 6161 682 229 37 33 \n", + "5 : 6201 673 210 39 19 \n", + "6 : 6156 696 225 43 22 \n", + "7 : 6098 733 245 36 30 \n", + "8 : 6166 667 232 50 27 \n", + "9 : 6171 651 235 51 34 \n", + "10 : 6160 688 225 46 23 \n", + "11 : 6144 692 225 54 27 \n", + "12 : 6131 720 234 37 20 \n", + "13 : 6150 728 208 46 22 \n", + "\n", + "T : 86106 9705 3201 630 358 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 5.0702e-02 sec\n", + "--- Collate = 1.3998e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.334027e-05 < 6.250000e-03 [204]\n", + "--- Max DT=3.084511e-01 > 1.000000e-01 [68128]\n", + "----------------------------------------------------------------------\n", + " Component | low: 204/100000\n", + " Component | high: 68128/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=38.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000507477 [ 0.02 %]\n", + "Velocity : 0.00170817 [ 0.06 %]\n", + "Force : 0.502548 [ 18.30 %]\n", + "Coefs : 1.67462 [ 60.98 %]\n", + "Output : 0.00111392 [ 0.04 %]\n", + "Levels : 9.7526e-05 [ 0.00 %]\n", + "Report : 3.02e-07 [ 0.00 %]\n", + "Balance : 2.19e-07 [ 0.00 %]\n", + "Adjust : 0.565345 [ 20.59 %]\n", + "Total : 2.74599 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6150 692 229 44 27 \n", + "1 : 6156 684 229 43 30 \n", + "2 : 6105 703 250 59 25 \n", + "3 : 6142 687 246 42 25 \n", + "4 : 6156 686 230 38 32 \n", + "5 : 6201 666 217 36 22 \n", + "6 : 6149 693 237 41 22 \n", + "7 : 6091 739 249 33 30 \n", + "8 : 6163 671 231 48 29 \n", + "9 : 6163 662 234 51 32 \n", + "10 : 6153 690 226 48 25 \n", + "11 : 6141 690 228 55 28 \n", + "12 : 6128 726 228 40 20 \n", + "13 : 6145 726 218 44 21 \n", + "\n", + "T : 86043 9715 3252 622 368 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.5789e-02 sec\n", + "--- Collate = 5.0090e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.265736e-07 < 6.250000e-03 [218]\n", + "--- Max DT=3.088903e-01 > 1.000000e-01 [68135]\n", + "----------------------------------------------------------------------\n", + " Component | low: 218/100000\n", + " Component | high: 68135/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=38.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000229454 [ 0.01 %]\n", + "Velocity : 0.00090242 [ 0.02 %]\n", + "Force : 0.553652 [ 14.94 %]\n", + "Coefs : 2.39127 [ 64.53 %]\n", + "Output : 0.000659058 [ 0.02 %]\n", + "Levels : 0.000115358 [ 0.00 %]\n", + "Report : 5.27e-07 [ 0.00 %]\n", + "Balance : 1.82e-07 [ 0.00 %]\n", + "Adjust : 0.758859 [ 20.48 %]\n", + "Total : 3.70572 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6147 694 230 45 26 \n", + "1 : 6157 680 233 43 29 \n", + "2 : 6097 715 249 56 25 \n", + "3 : 6137 689 252 39 25 \n", + "4 : 6153 693 227 37 32 \n", + "5 : 6196 673 218 34 21 \n", + "6 : 6136 705 241 35 25 \n", + "7 : 6083 735 253 41 30 \n", + "8 : 6154 672 240 48 28 \n", + "9 : 6160 671 225 54 32 \n", + "10 : 6150 692 224 46 30 \n", + "11 : 6134 699 231 52 26 \n", + "12 : 6115 738 227 39 23 \n", + "13 : 6139 724 222 47 22 \n", + "\n", + "T : 85958 9780 3272 616 374 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 3.8139e-02 sec\n", + "--- Collate = 8.6240e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.061849e-05 < 6.250000e-03 [223]\n", + "--- Max DT=3.093290e-01 > 1.000000e-01 [68151]\n", + "----------------------------------------------------------------------\n", + " Component | low: 223/100000\n", + " Component | high: 68151/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=38.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000183458 [ 0.01 %]\n", + "Velocity : 0.00108063 [ 0.03 %]\n", + "Force : 0.632175 [ 17.55 %]\n", + "Coefs : 2.30779 [ 64.08 %]\n", + "Output : 0.000669586 [ 0.02 %]\n", + "Levels : 0.000118854 [ 0.00 %]\n", + "Report : 5.68e-07 [ 0.00 %]\n", + "Balance : 1.56e-07 [ 0.00 %]\n", + "Adjust : 0.659509 [ 18.31 %]\n", + "Total : 3.60156 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6136 706 226 42 32 \n", + "1 : 6154 681 228 50 29 \n", + "2 : 6085 722 254 53 28 \n", + "3 : 6134 688 254 38 28 \n", + "4 : 6146 693 229 40 34 \n", + "5 : 6192 675 217 37 21 \n", + "6 : 6133 707 241 37 24 \n", + "7 : 6084 733 252 46 27 \n", + "8 : 6157 665 245 51 24 \n", + "9 : 6154 677 223 55 33 \n", + "10 : 6139 697 224 51 31 \n", + "11 : 6133 694 231 55 29 \n", + "12 : 6116 731 232 39 24 \n", + "13 : 6139 716 225 49 25 \n", + "\n", + "T : 85902 9785 3281 643 389 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 6.7668e-02 sec\n", + "--- Collate = 7.0270e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.037491e-05 < 6.250000e-03 [230]\n", + "--- Max DT=3.097689e-01 > 1.000000e-01 [68172]\n", + "----------------------------------------------------------------------\n", + " Component | low: 230/100000\n", + " Component | high: 68172/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=38.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00032574 [ 0.01 %]\n", + "Velocity : 0.00135459 [ 0.04 %]\n", + "Force : 0.566048 [ 15.78 %]\n", + "Coefs : 2.32192 [ 64.73 %]\n", + "Output : 0.000768592 [ 0.02 %]\n", + "Levels : 0.000408867 [ 0.01 %]\n", + "Report : 5.06e-07 [ 0.00 %]\n", + "Balance : 2.5e-07 [ 0.00 %]\n", + "Adjust : 0.696448 [ 19.41 %]\n", + "Total : 3.5873 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6136 703 228 41 34 \n", + "1 : 6150 689 220 54 29 \n", + "2 : 6083 727 257 45 30 \n", + "3 : 6133 695 252 37 25 \n", + "4 : 6142 695 236 43 26 \n", + "5 : 6195 672 212 40 23 \n", + "6 : 6127 713 239 38 25 \n", + "7 : 6081 734 253 45 29 \n", + "8 : 6154 668 247 51 22 \n", + "9 : 6162 663 226 58 33 \n", + "10 : 6139 689 226 54 34 \n", + "11 : 6127 700 233 51 31 \n", + "12 : 6116 728 235 38 25 \n", + "13 : 6145 706 221 55 27 \n", + "\n", + "T : 85890 9782 3285 650 393 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 9.1862e-02 sec\n", + "--- Collate = 2.0013e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.222166e-05 < 6.250000e-03 [221]\n", + "--- Max DT=3.102003e-01 > 1.000000e-01 [68207]\n", + "----------------------------------------------------------------------\n", + " Component | low: 221/100000\n", + " Component | high: 68207/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=38.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000433643 [ 0.01 %]\n", + "Velocity : 0.0020348 [ 0.05 %]\n", + "Force : 0.5768 [ 15.42 %]\n", + "Coefs : 2.32804 [ 62.22 %]\n", + "Output : 0.000916035 [ 0.02 %]\n", + "Levels : 0.000237785 [ 0.01 %]\n", + "Report : 6.27e-07 [ 0.00 %]\n", + "Balance : 2.5e-07 [ 0.00 %]\n", + "Adjust : 0.833015 [ 22.26 %]\n", + "Total : 3.74151 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6130 703 230 44 35 \n", + "1 : 6152 678 228 52 32 \n", + "2 : 6078 723 262 49 30 \n", + "3 : 6125 703 251 38 25 \n", + "4 : 6135 696 239 46 26 \n", + "5 : 6203 664 213 35 27 \n", + "6 : 6113 729 239 34 27 \n", + "7 : 6077 734 259 41 31 \n", + "8 : 6151 665 254 48 24 \n", + "9 : 6154 676 218 61 33 \n", + "10 : 6135 698 214 58 37 \n", + "11 : 6124 695 244 46 33 \n", + "12 : 6117 722 245 36 22 \n", + "13 : 6137 713 225 50 29 \n", + "\n", + "T : 85831 9799 3321 638 411 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 29.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 5.7333e-02 sec\n", + "--- Collate = 8.0176e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.062632e-06 < 6.250000e-03 [222]\n", + "--- Max DT=3.106316e-01 > 1.000000e-01 [68240]\n", + "----------------------------------------------------------------------\n", + " Component | low: 222/100000\n", + " Component | high: 68240/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=38.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000727577 [ 0.02 %]\n", + "Velocity : 0.00240558 [ 0.07 %]\n", + "Force : 0.584754 [ 16.12 %]\n", + "Coefs : 2.33696 [ 64.44 %]\n", + "Output : 0.00150985 [ 0.04 %]\n", + "Levels : 0.000273642 [ 0.01 %]\n", + "Report : 5.7e-07 [ 0.00 %]\n", + "Balance : 2.91e-07 [ 0.00 %]\n", + "Adjust : 0.699905 [ 19.30 %]\n", + "Total : 3.62659 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6122 708 229 48 35 \n", + "1 : 6146 682 228 54 32 \n", + "2 : 6076 712 276 47 31 \n", + "3 : 6124 699 250 46 23 \n", + "4 : 6133 696 242 44 27 \n", + "5 : 6199 660 223 31 29 \n", + "6 : 6115 727 239 37 24 \n", + "7 : 6070 737 262 40 33 \n", + "8 : 6147 658 265 46 26 \n", + "9 : 6157 667 226 59 33 \n", + "10 : 6123 708 222 47 42 \n", + "11 : 6117 699 244 51 31 \n", + "12 : 6110 725 246 38 23 \n", + "13 : 6130 712 232 50 30 \n", + "\n", + "T : 85769 9790 3384 638 419 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 18.4%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.6008e-02 sec\n", + "--- Collate = 8.0488e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.162587e-06 < 6.250000e-03 [229]\n", + "--- Max DT=3.110500e-01 > 1.000000e-01 [68248]\n", + "----------------------------------------------------------------------\n", + " Component | low: 229/100000\n", + " Component | high: 68248/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=38.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000851421 [ 0.03 %]\n", + "Velocity : 0.00260146 [ 0.08 %]\n", + "Force : 0.532681 [ 17.31 %]\n", + "Coefs : 1.83795 [ 59.72 %]\n", + "Output : 0.00183919 [ 0.06 %]\n", + "Levels : 0.000315106 [ 0.01 %]\n", + "Report : 2.257e-06 [ 0.00 %]\n", + "Balance : 5.32e-07 [ 0.00 %]\n", + "Adjust : 0.701566 [ 22.79 %]\n", + "Total : 3.07786 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6122 700 232 49 39 \n", + "1 : 6138 688 231 51 34 \n", + "2 : 6069 715 280 49 29 \n", + "3 : 6122 697 254 47 22 \n", + "4 : 6126 695 252 41 28 \n", + "5 : 6196 661 219 36 30 \n", + "6 : 6116 727 235 36 28 \n", + "7 : 6071 737 254 47 33 \n", + "8 : 6140 662 265 48 27 \n", + "9 : 6148 672 234 58 30 \n", + "10 : 6129 695 229 45 44 \n", + "11 : 6122 690 243 49 38 \n", + "12 : 6101 735 243 38 25 \n", + "13 : 6126 712 234 47 35 \n", + "\n", + "T : 85726 9786 3405 641 442 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.2786e-02 sec\n", + "--- Collate = 7.8021e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.156794e-06 < 6.250000e-03 [242]\n", + "--- Max DT=3.114681e-01 > 1.000000e-01 [68285]\n", + "----------------------------------------------------------------------\n", + " Component | low: 242/100000\n", + " Component | high: 68285/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=39] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0010175 [ 0.03 %]\n", + "Velocity : 0.00348091 [ 0.11 %]\n", + "Force : 0.5821 [ 18.60 %]\n", + "Coefs : 1.83394 [ 58.61 %]\n", + "Output : 0.00673452 [ 0.22 %]\n", + "Levels : 0.000566313 [ 0.02 %]\n", + "Report : 1.314e-06 [ 0.00 %]\n", + "Balance : 6.37e-07 [ 0.00 %]\n", + "Adjust : 0.70124 [ 22.41 %]\n", + "Total : 3.12913 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6117 706 226 54 39 \n", + "1 : 6139 691 222 55 35 \n", + "2 : 6065 722 278 48 29 \n", + "3 : 6118 693 255 55 21 \n", + "4 : 6124 697 248 47 26 \n", + "5 : 6198 660 215 39 30 \n", + "6 : 6112 729 232 42 27 \n", + "7 : 6068 742 249 52 31 \n", + "8 : 6131 677 257 48 29 \n", + "9 : 6144 677 232 53 36 \n", + "10 : 6121 703 229 42 47 \n", + "11 : 6119 684 252 49 38 \n", + "12 : 6103 724 251 39 25 \n", + "13 : 6126 708 235 47 38 \n", + "\n", + "T : 85685 9813 3381 670 451 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 20.6%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.6170e-02 sec\n", + "--- Collate = 1.2020e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.919381e-07 < 6.250000e-03 [247]\n", + "--- Max DT=3.118672e-01 > 1.000000e-01 [68329]\n", + "----------------------------------------------------------------------\n", + " Component | low: 247/100000\n", + " Component | high: 68329/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=39.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00115432 [ 0.03 %]\n", + "Velocity : 0.00302619 [ 0.08 %]\n", + "Force : 0.632825 [ 15.93 %]\n", + "Coefs : 2.50855 [ 63.15 %]\n", + "Output : 0.0017137 [ 0.04 %]\n", + "Levels : 0.000274692 [ 0.01 %]\n", + "Report : 6.13e-07 [ 0.00 %]\n", + "Balance : 3.18e-07 [ 0.00 %]\n", + "Adjust : 0.824924 [ 20.77 %]\n", + "Total : 3.97253 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6107 711 227 58 39 \n", + "1 : 6136 687 225 59 35 \n", + "2 : 6065 721 276 53 27 \n", + "3 : 6104 707 258 48 25 \n", + "4 : 6118 697 255 46 26 \n", + "5 : 6201 654 218 39 30 \n", + "6 : 6107 728 235 47 25 \n", + "7 : 6071 737 251 48 35 \n", + "8 : 6128 673 264 48 29 \n", + "9 : 6136 687 228 58 33 \n", + "10 : 6113 705 234 47 43 \n", + "11 : 6114 686 253 49 40 \n", + "12 : 6104 725 246 44 23 \n", + "13 : 6128 703 234 55 34 \n", + "\n", + "T : 85632 9821 3404 699 444 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 4.1012e-02 sec\n", + "--- Collate = 2.7099e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.225726e-05 < 6.250000e-03 [267]\n", + "--- Max DT=3.122585e-01 > 1.000000e-01 [68333]\n", + "----------------------------------------------------------------------\n", + " Component | low: 267/100000\n", + " Component | high: 68333/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=39.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000826514 [ 0.02 %]\n", + "Velocity : 0.00321522 [ 0.09 %]\n", + "Force : 0.655433 [ 18.88 %]\n", + "Coefs : 2.10458 [ 60.63 %]\n", + "Output : 0.00163619 [ 0.05 %]\n", + "Levels : 0.000267142 [ 0.01 %]\n", + "Report : 5.46e-07 [ 0.00 %]\n", + "Balance : 3.01e-07 [ 0.00 %]\n", + "Adjust : 0.705281 [ 20.32 %]\n", + "Total : 3.4713 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6101 713 230 57 41 \n", + "1 : 6131 690 224 55 42 \n", + "2 : 6053 730 286 47 26 \n", + "3 : 6102 711 253 48 28 \n", + "4 : 6118 693 256 46 29 \n", + "5 : 6197 656 213 46 30 \n", + "6 : 6103 730 234 47 28 \n", + "7 : 6072 746 241 44 39 \n", + "8 : 6126 670 270 46 30 \n", + "9 : 6132 686 227 66 31 \n", + "10 : 6107 708 228 54 45 \n", + "11 : 6110 683 256 54 39 \n", + "12 : 6093 731 252 39 27 \n", + "13 : 6129 698 239 55 33 \n", + "\n", + "T : 85574 9845 3409 704 468 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 11.8%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 9.6525e-02 sec\n", + "--- Collate = 8.0284e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.521706e-06 < 6.250000e-03 [272]\n", + "--- Max DT=3.126354e-01 > 1.000000e-01 [68359]\n", + "----------------------------------------------------------------------\n", + " Component | low: 272/100000\n", + " Component | high: 68359/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=39.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000932025 [ 0.02 %]\n", + "Velocity : 0.00254011 [ 0.06 %]\n", + "Force : 0.775404 [ 17.43 %]\n", + "Coefs : 2.6359 [ 59.25 %]\n", + "Output : 0.00136232 [ 0.03 %]\n", + "Levels : 0.000280072 [ 0.01 %]\n", + "Report : 9.64e-07 [ 0.00 %]\n", + "Balance : 3.89e-07 [ 0.00 %]\n", + "Adjust : 1.03217 [ 23.20 %]\n", + "Total : 4.44866 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6096 708 240 58 40 \n", + "1 : 6127 689 231 55 40 \n", + "2 : 6056 727 281 48 30 \n", + "3 : 6099 717 251 46 29 \n", + "4 : 6115 695 258 47 27 \n", + "5 : 6194 656 212 50 30 \n", + "6 : 6099 729 244 42 28 \n", + "7 : 6071 748 241 44 38 \n", + "8 : 6123 668 277 44 30 \n", + "9 : 6130 683 232 67 30 \n", + "10 : 6106 708 227 58 43 \n", + "11 : 6099 702 243 55 43 \n", + "12 : 6096 728 247 44 27 \n", + "13 : 6124 708 234 52 36 \n", + "\n", + "T : 85535 9866 3418 710 471 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 24.4%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 5.7542e-02 sec\n", + "--- Collate = 1.0622e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.245648e-07 < 6.250000e-03 [292]\n", + "--- Max DT=3.131018e-01 > 1.000000e-01 [68380]\n", + "----------------------------------------------------------------------\n", + " Component | low: 292/100000\n", + " Component | high: 68380/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=39.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000697898 [ 0.02 %]\n", + "Velocity : 0.00614468 [ 0.15 %]\n", + "Force : 0.768771 [ 18.53 %]\n", + "Coefs : 2.46462 [ 59.39 %]\n", + "Output : 0.00127142 [ 0.03 %]\n", + "Levels : 0.00032308 [ 0.01 %]\n", + "Report : 1.38e-06 [ 0.00 %]\n", + "Balance : 4.72e-07 [ 0.00 %]\n", + "Adjust : 0.907888 [ 21.88 %]\n", + "Total : 4.14977 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6090 721 225 62 44 \n", + "1 : 6121 697 230 51 43 \n", + "2 : 6059 723 282 44 34 \n", + "3 : 6100 710 256 47 29 \n", + "4 : 6117 692 257 47 29 \n", + "5 : 6193 649 220 53 27 \n", + "6 : 6088 733 249 42 30 \n", + "7 : 6069 746 243 45 39 \n", + "8 : 6114 678 269 50 31 \n", + "9 : 6124 689 237 58 34 \n", + "10 : 6105 709 229 57 42 \n", + "11 : 6088 715 239 54 46 \n", + "12 : 6087 739 241 44 31 \n", + "13 : 6129 702 234 51 38 \n", + "\n", + "T : 85484 9903 3411 705 497 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 5.4950e-02 sec\n", + "--- Collate = 7.0343e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.093415e-06 < 6.250000e-03 [285]\n", + "--- Max DT=3.136114e-01 > 1.000000e-01 [68393]\n", + "----------------------------------------------------------------------\n", + " Component | low: 285/100000\n", + " Component | high: 68393/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=39.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000769564 [ 0.02 %]\n", + "Velocity : 0.00269062 [ 0.08 %]\n", + "Force : 0.598117 [ 17.35 %]\n", + "Coefs : 2.15677 [ 62.56 %]\n", + "Output : 0.00163821 [ 0.05 %]\n", + "Levels : 0.000257547 [ 0.01 %]\n", + "Report : 8.7e-07 [ 0.00 %]\n", + "Balance : 3.49e-07 [ 0.00 %]\n", + "Adjust : 0.687448 [ 19.94 %]\n", + "Total : 3.44775 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6094 703 242 57 46 \n", + "1 : 6114 703 228 54 43 \n", + "2 : 6049 733 279 50 31 \n", + "3 : 6095 711 261 45 30 \n", + "4 : 6114 692 258 45 33 \n", + "5 : 6182 657 224 45 34 \n", + "6 : 6087 741 243 36 35 \n", + "7 : 6074 736 252 46 34 \n", + "8 : 6118 674 264 52 34 \n", + "9 : 6123 692 234 59 34 \n", + "10 : 6095 715 229 63 40 \n", + "11 : 6081 717 245 55 44 \n", + "12 : 6086 740 241 43 32 \n", + "13 : 6130 698 244 38 44 \n", + "\n", + "T : 85442 9912 3444 688 514 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 3.9997e-02 sec\n", + "--- Collate = 1.0338e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.704038e-05 < 6.250000e-03 [288]\n", + "--- Max DT=3.141155e-01 > 1.000000e-01 [68410]\n", + "----------------------------------------------------------------------\n", + " Component | low: 288/100000\n", + " Component | high: 68410/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=39.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00125017 [ 0.05 %]\n", + "Velocity : 0.00328682 [ 0.13 %]\n", + "Force : 0.457338 [ 18.16 %]\n", + "Coefs : 1.50372 [ 59.69 %]\n", + "Output : 0.00173373 [ 0.07 %]\n", + "Levels : 0.000313546 [ 0.01 %]\n", + "Report : 5.69e-07 [ 0.00 %]\n", + "Balance : 3.25e-07 [ 0.00 %]\n", + "Adjust : 0.551352 [ 21.89 %]\n", + "Total : 2.51906 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6101 692 249 50 50 \n", + "1 : 6113 700 230 55 44 \n", + "2 : 6046 733 287 44 32 \n", + "3 : 6086 711 269 46 30 \n", + "4 : 6109 696 250 57 30 \n", + "5 : 6170 664 232 42 34 \n", + "6 : 6075 754 242 37 34 \n", + "7 : 6067 740 254 41 40 \n", + "8 : 6113 682 256 55 36 \n", + "9 : 6123 690 239 57 33 \n", + "10 : 6088 722 231 61 40 \n", + "11 : 6074 715 254 55 44 \n", + "12 : 6084 740 240 50 28 \n", + "13 : 6127 695 251 35 46 \n", + "\n", + "T : 85376 9934 3484 685 521 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 5.6356e-02 sec\n", + "--- Collate = 7.0257e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.285644e-06 < 6.250000e-03 [307]\n", + "--- Max DT=3.146170e-01 > 1.000000e-01 [68414]\n", + "----------------------------------------------------------------------\n", + " Component | low: 307/100000\n", + " Component | high: 68414/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=39.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00504427 [ 0.16 %]\n", + "Velocity : 0.00414797 [ 0.13 %]\n", + "Force : 0.544547 [ 17.37 %]\n", + "Coefs : 1.93502 [ 61.74 %]\n", + "Output : 0.00171027 [ 0.05 %]\n", + "Levels : 0.000285734 [ 0.01 %]\n", + "Report : 6.14e-07 [ 0.00 %]\n", + "Balance : 3.09e-07 [ 0.00 %]\n", + "Adjust : 0.643515 [ 20.53 %]\n", + "Total : 3.13434 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6102 684 254 55 47 \n", + "1 : 6115 701 229 56 41 \n", + "2 : 6041 738 284 46 33 \n", + "3 : 6077 711 275 46 33 \n", + "4 : 6112 688 259 52 31 \n", + "5 : 6170 654 239 42 37 \n", + "6 : 6083 736 250 41 32 \n", + "7 : 6061 743 260 38 40 \n", + "8 : 6105 674 273 55 35 \n", + "9 : 6118 700 233 57 34 \n", + "10 : 6079 731 230 62 40 \n", + "11 : 6065 728 250 51 48 \n", + "12 : 6085 739 240 48 30 \n", + "13 : 6121 698 256 32 47 \n", + "\n", + "T : 85334 9925 3532 681 528 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 4.2934e-02 sec\n", + "--- Collate = 6.0306e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.389094e-05 < 6.250000e-03 [296]\n", + "--- Max DT=3.151128e-01 > 1.000000e-01 [68432]\n", + "----------------------------------------------------------------------\n", + " Component | low: 296/100000\n", + " Component | high: 68432/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=39.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00506756 [ 0.16 %]\n", + "Velocity : 0.0038153 [ 0.12 %]\n", + "Force : 0.510693 [ 16.35 %]\n", + "Coefs : 1.92285 [ 61.56 %]\n", + "Output : 0.00168349 [ 0.05 %]\n", + "Levels : 0.00938329 [ 0.30 %]\n", + "Report : 7.45e-07 [ 0.00 %]\n", + "Balance : 2.42e-07 [ 0.00 %]\n", + "Adjust : 0.66994 [ 21.45 %]\n", + "Total : 3.1235 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6101 685 258 50 48 \n", + "1 : 6113 692 240 54 43 \n", + "2 : 6040 740 278 53 31 \n", + "3 : 6067 717 279 49 30 \n", + "4 : 6110 687 263 52 30 \n", + "5 : 6163 654 246 46 33 \n", + "6 : 6083 733 251 44 31 \n", + "7 : 6062 744 253 40 43 \n", + "8 : 6107 664 282 53 36 \n", + "9 : 6115 705 231 55 36 \n", + "10 : 6076 733 233 60 40 \n", + "11 : 6067 726 246 55 48 \n", + "12 : 6082 734 247 46 33 \n", + "13 : 6110 714 254 33 43 \n", + "\n", + "T : 85296 9928 3561 690 525 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 4.0045e-02 sec\n", + "--- Collate = 5.0301e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.208213e-06 < 6.250000e-03 [297]\n", + "--- Max DT=3.156038e-01 > 1.000000e-01 [68412]\n", + "----------------------------------------------------------------------\n", + " Component | low: 297/100000\n", + " Component | high: 68412/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=39.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000515992 [ 0.02 %]\n", + "Velocity : 0.00250697 [ 0.07 %]\n", + "Force : 0.591675 [ 17.63 %]\n", + "Coefs : 2.07231 [ 61.76 %]\n", + "Output : 0.00151383 [ 0.05 %]\n", + "Levels : 0.000303201 [ 0.01 %]\n", + "Report : 7.08e-07 [ 0.00 %]\n", + "Balance : 2.66e-07 [ 0.00 %]\n", + "Adjust : 0.686476 [ 20.46 %]\n", + "Total : 3.35535 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6099 676 264 56 47 \n", + "1 : 6112 692 241 53 44 \n", + "2 : 6037 741 278 55 31 \n", + "3 : 6058 716 286 52 30 \n", + "4 : 6106 692 253 58 33 \n", + "5 : 6161 666 236 45 34 \n", + "6 : 6081 731 252 50 28 \n", + "7 : 6055 747 255 41 44 \n", + "8 : 6100 663 288 51 40 \n", + "9 : 6114 707 234 49 38 \n", + "10 : 6071 730 238 62 41 \n", + "11 : 6061 727 248 64 42 \n", + "12 : 6079 732 251 45 35 \n", + "13 : 6101 720 253 41 39 \n", + "\n", + "T : 85235 9940 3577 722 526 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 32.4%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 4.8593e-02 sec\n", + "--- Collate = 8.0108e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.878586e-06 < 6.250000e-03 [296]\n", + "--- Max DT=3.160979e-01 > 1.000000e-01 [68408]\n", + "----------------------------------------------------------------------\n", + " Component | low: 296/100000\n", + " Component | high: 68408/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=40] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000786853 [ 0.02 %]\n", + "Velocity : 0.00358519 [ 0.11 %]\n", + "Force : 0.602277 [ 17.80 %]\n", + "Coefs : 2.026 [ 59.87 %]\n", + "Output : 0.00903285 [ 0.27 %]\n", + "Levels : 0.000293567 [ 0.01 %]\n", + "Report : 1.024e-06 [ 0.00 %]\n", + "Balance : 6.78e-07 [ 0.00 %]\n", + "Adjust : 0.741953 [ 21.93 %]\n", + "Total : 3.38399 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6091 680 262 61 48 \n", + "1 : 6109 689 250 51 43 \n", + "2 : 6038 733 285 47 39 \n", + "3 : 6055 719 284 53 31 \n", + "4 : 6095 695 262 55 35 \n", + "5 : 6157 673 233 46 33 \n", + "6 : 6077 732 248 55 30 \n", + "7 : 6056 748 252 44 42 \n", + "8 : 6092 675 282 51 42 \n", + "9 : 6104 715 235 45 43 \n", + "10 : 6064 734 240 66 38 \n", + "11 : 6059 728 253 59 43 \n", + "12 : 6070 736 258 42 36 \n", + "13 : 6103 711 260 43 37 \n", + "\n", + "T : 85170 9968 3604 718 540 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 4.6816e-02 sec\n", + "--- Collate = 8.0244e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.122178e-06 < 6.250000e-03 [310]\n", + "--- Max DT=3.165825e-01 > 1.000000e-01 [68397]\n", + "----------------------------------------------------------------------\n", + " Component | low: 310/100000\n", + " Component | high: 68397/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=40.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000679008 [ 0.02 %]\n", + "Velocity : 0.00720593 [ 0.21 %]\n", + "Force : 0.565378 [ 16.52 %]\n", + "Coefs : 2.13767 [ 62.45 %]\n", + "Output : 0.0015686 [ 0.05 %]\n", + "Levels : 0.000291124 [ 0.01 %]\n", + "Report : 1.076e-06 [ 0.00 %]\n", + "Balance : 4.16e-07 [ 0.00 %]\n", + "Adjust : 0.709972 [ 20.74 %]\n", + "Total : 3.42282 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6084 696 251 63 48 \n", + "1 : 6107 686 256 54 39 \n", + "2 : 6036 734 292 41 39 \n", + "3 : 6048 714 298 51 31 \n", + "4 : 6090 695 270 52 35 \n", + "5 : 6156 673 228 48 37 \n", + "6 : 6078 731 246 60 27 \n", + "7 : 6044 759 256 43 40 \n", + "8 : 6096 673 283 47 43 \n", + "9 : 6104 715 235 37 51 \n", + "10 : 6062 733 242 66 39 \n", + "11 : 6047 738 256 60 41 \n", + "12 : 6072 734 258 48 30 \n", + "13 : 6098 711 266 40 39 \n", + "\n", + "T : 85122 9992 3637 710 539 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 27.6%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 5.7100e-02 sec\n", + "--- Collate = 2.0212e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.227145e-05 < 6.250000e-03 [315]\n", + "--- Max DT=3.170600e-01 > 1.000000e-01 [68407]\n", + "----------------------------------------------------------------------\n", + " Component | low: 315/100000\n", + " Component | high: 68407/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=40.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00139369 [ 0.04 %]\n", + "Velocity : 0.00359353 [ 0.11 %]\n", + "Force : 0.614864 [ 19.42 %]\n", + "Coefs : 1.86452 [ 58.90 %]\n", + "Output : 0.00152524 [ 0.05 %]\n", + "Levels : 0.000286377 [ 0.01 %]\n", + "Report : 8e-07 [ 0.00 %]\n", + "Balance : 3.57e-07 [ 0.00 %]\n", + "Adjust : 0.679351 [ 21.46 %]\n", + "Total : 3.16559 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6077 705 249 64 47 \n", + "1 : 6098 688 260 59 37 \n", + "2 : 6034 732 293 51 32 \n", + "3 : 6047 706 309 49 31 \n", + "4 : 6088 692 279 48 35 \n", + "5 : 6152 672 231 50 37 \n", + "6 : 6078 724 250 63 27 \n", + "7 : 6042 760 257 49 34 \n", + "8 : 6096 674 284 42 46 \n", + "9 : 6102 711 237 39 53 \n", + "10 : 6056 730 259 51 46 \n", + "11 : 6046 742 254 63 37 \n", + "12 : 6057 750 256 49 30 \n", + "13 : 6098 711 259 42 44 \n", + "\n", + "T : 85071 9997 3677 719 536 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 4.4272e-02 sec\n", + "--- Collate = 6.0483e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.432051e-06 < 6.250000e-03 [318]\n", + "--- Max DT=3.175337e-01 > 1.000000e-01 [68388]\n", + "----------------------------------------------------------------------\n", + " Component | low: 318/100000\n", + " Component | high: 68388/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=40.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00113336 [ 0.03 %]\n", + "Velocity : 0.00342935 [ 0.10 %]\n", + "Force : 0.630021 [ 17.84 %]\n", + "Coefs : 2.09206 [ 59.23 %]\n", + "Output : 0.00143765 [ 0.04 %]\n", + "Levels : 0.000305989 [ 0.01 %]\n", + "Report : 8.25e-07 [ 0.00 %]\n", + "Balance : 2.56e-07 [ 0.00 %]\n", + "Adjust : 0.803804 [ 22.76 %]\n", + "Total : 3.53226 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6068 708 250 67 49 \n", + "1 : 6092 689 270 56 35 \n", + "2 : 6033 731 297 53 28 \n", + "3 : 6046 705 311 49 31 \n", + "4 : 6082 704 274 50 32 \n", + "5 : 6150 676 226 48 42 \n", + "6 : 6075 724 250 63 30 \n", + "7 : 6038 763 254 56 31 \n", + "8 : 6093 673 283 45 48 \n", + "9 : 6098 714 235 44 51 \n", + "10 : 6059 716 266 58 43 \n", + "11 : 6044 737 264 60 37 \n", + "12 : 6060 741 258 55 28 \n", + "13 : 6098 712 261 40 43 \n", + "\n", + "T : 85036 9993 3699 744 528 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 4.9324e-02 sec\n", + "--- Collate = 3.9890e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.579128e-06 < 6.250000e-03 [329]\n", + "--- Max DT=3.179995e-01 > 1.000000e-01 [68375]\n", + "----------------------------------------------------------------------\n", + " Component | low: 329/100000\n", + " Component | high: 68375/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=40.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00132517 [ 0.04 %]\n", + "Velocity : 0.00315967 [ 0.09 %]\n", + "Force : 0.598217 [ 16.65 %]\n", + "Coefs : 2.25866 [ 62.87 %]\n", + "Output : 0.00162139 [ 0.05 %]\n", + "Levels : 0.000517304 [ 0.01 %]\n", + "Report : 8.46e-07 [ 0.00 %]\n", + "Balance : 2.86e-07 [ 0.00 %]\n", + "Adjust : 0.728893 [ 20.29 %]\n", + "Total : 3.59246 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6070 708 251 64 49 \n", + "1 : 6091 690 269 56 36 \n", + "2 : 6033 737 292 47 33 \n", + "3 : 6038 717 304 54 29 \n", + "4 : 6079 711 267 48 37 \n", + "5 : 6151 669 233 44 45 \n", + "6 : 6067 731 252 57 35 \n", + "7 : 6035 762 257 53 35 \n", + "8 : 6084 677 291 43 47 \n", + "9 : 6094 708 244 44 52 \n", + "10 : 6054 715 274 57 42 \n", + "11 : 6041 736 273 51 41 \n", + "12 : 6048 748 262 57 27 \n", + "13 : 6089 724 257 48 36 \n", + "\n", + "T : 84974 10033 3726 723 544 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 8.4400e-02 sec\n", + "--- Collate = 8.4853e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.896792e-05 < 6.250000e-03 [320]\n", + "--- Max DT=3.184620e-01 > 1.000000e-01 [68384]\n", + "----------------------------------------------------------------------\n", + " Component | low: 320/100000\n", + " Component | high: 68384/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=40.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000958701 [ 0.03 %]\n", + "Velocity : 0.00269039 [ 0.08 %]\n", + "Force : 0.583963 [ 17.43 %]\n", + "Coefs : 2.03562 [ 60.74 %]\n", + "Output : 0.00159598 [ 0.05 %]\n", + "Levels : 0.000258721 [ 0.01 %]\n", + "Report : 1.054e-06 [ 0.00 %]\n", + "Balance : 3.31e-07 [ 0.00 %]\n", + "Adjust : 0.72607 [ 21.67 %]\n", + "Total : 3.35121 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6068 706 253 66 49 \n", + "1 : 6089 696 266 58 33 \n", + "2 : 6031 740 288 53 30 \n", + "3 : 6038 712 305 58 29 \n", + "4 : 6081 705 264 53 39 \n", + "5 : 6153 666 235 42 46 \n", + "6 : 6060 740 251 58 33 \n", + "7 : 6042 755 256 55 34 \n", + "8 : 6082 671 295 51 43 \n", + "9 : 6088 714 244 45 51 \n", + "10 : 6050 717 275 54 46 \n", + "11 : 6044 730 275 50 43 \n", + "12 : 6038 758 257 62 27 \n", + "13 : 6090 718 258 49 39 \n", + "\n", + "T : 84954 10028 3722 754 542 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 6.3975e-02 sec\n", + "--- Collate = 1.2351e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.154613e-05 < 6.250000e-03 [319]\n", + "--- Max DT=3.189201e-01 > 1.000000e-01 [68374]\n", + "----------------------------------------------------------------------\n", + " Component | low: 319/100000\n", + " Component | high: 68374/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=40.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000759279 [ 0.02 %]\n", + "Velocity : 0.00231282 [ 0.07 %]\n", + "Force : 0.555619 [ 15.70 %]\n", + "Coefs : 2.21283 [ 62.52 %]\n", + "Output : 0.00155307 [ 0.04 %]\n", + "Levels : 0.000239412 [ 0.01 %]\n", + "Report : 9.98e-07 [ 0.00 %]\n", + "Balance : 2.74e-07 [ 0.00 %]\n", + "Adjust : 0.765905 [ 21.64 %]\n", + "Total : 3.53928 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6061 707 257 66 51 \n", + "1 : 6087 701 261 61 32 \n", + "2 : 6027 740 288 58 29 \n", + "3 : 6038 710 308 58 28 \n", + "4 : 6082 701 267 54 38 \n", + "5 : 6149 672 230 42 49 \n", + "6 : 6051 748 252 57 34 \n", + "7 : 6040 746 262 59 35 \n", + "8 : 6074 686 284 54 44 \n", + "9 : 6086 714 240 51 51 \n", + "10 : 6044 719 278 54 47 \n", + "11 : 6029 755 264 50 44 \n", + "12 : 6047 748 252 65 30 \n", + "13 : 6077 725 263 49 40 \n", + "\n", + "T : 84892 10072 3706 778 552 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 26.1%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 6.3392e-02 sec\n", + "--- Collate = 9.0309e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.268019e-05 < 6.250000e-03 [319]\n", + "--- Max DT=3.193667e-01 > 1.000000e-01 [68375]\n", + "----------------------------------------------------------------------\n", + " Component | low: 319/100000\n", + " Component | high: 68375/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=40.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000519246 [ 0.01 %]\n", + "Velocity : 0.00246953 [ 0.07 %]\n", + "Force : 0.700304 [ 18.62 %]\n", + "Coefs : 2.23819 [ 59.51 %]\n", + "Output : 0.00154316 [ 0.04 %]\n", + "Levels : 0.000564186 [ 0.02 %]\n", + "Report : 8.24e-07 [ 0.00 %]\n", + "Balance : 3.29e-07 [ 0.00 %]\n", + "Adjust : 0.817523 [ 21.74 %]\n", + "Total : 3.76117 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6070 693 265 58 56 \n", + "1 : 6083 697 271 54 37 \n", + "2 : 6025 738 287 61 31 \n", + "3 : 6034 711 308 56 33 \n", + "4 : 6076 708 260 62 36 \n", + "5 : 6151 665 227 54 45 \n", + "6 : 6050 744 257 57 34 \n", + "7 : 6039 739 267 60 37 \n", + "8 : 6071 682 294 54 41 \n", + "9 : 6086 708 246 54 48 \n", + "10 : 6044 720 275 59 44 \n", + "11 : 6026 753 270 51 42 \n", + "12 : 6049 741 253 62 37 \n", + "13 : 6075 731 258 54 36 \n", + "\n", + "T : 84879 10030 3738 796 557 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.6258e-02 sec\n", + "--- Collate = 1.7035e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.979993e-06 < 6.250000e-03 [320]\n", + "--- Max DT=3.198071e-01 > 1.000000e-01 [68394]\n", + "----------------------------------------------------------------------\n", + " Component | low: 320/100000\n", + " Component | high: 68394/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=40.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000746998 [ 0.02 %]\n", + "Velocity : 0.00293392 [ 0.07 %]\n", + "Force : 0.651318 [ 15.51 %]\n", + "Coefs : 2.61443 [ 62.26 %]\n", + "Output : 0.0015294 [ 0.04 %]\n", + "Levels : 0.000275289 [ 0.01 %]\n", + "Report : 9.48e-07 [ 0.00 %]\n", + "Balance : 3.53e-07 [ 0.00 %]\n", + "Adjust : 0.92791 [ 22.10 %]\n", + "Total : 4.1992 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6063 693 265 66 55 \n", + "1 : 6081 695 270 61 35 \n", + "2 : 6021 741 291 60 29 \n", + "3 : 6036 707 306 59 34 \n", + "4 : 6081 696 269 62 34 \n", + "5 : 6138 680 221 64 39 \n", + "6 : 6048 731 276 46 41 \n", + "7 : 6036 743 261 61 41 \n", + "8 : 6078 671 290 58 45 \n", + "9 : 6078 716 247 53 48 \n", + "10 : 6039 724 277 55 47 \n", + "11 : 6023 755 263 61 40 \n", + "12 : 6055 728 259 64 36 \n", + "13 : 6079 729 259 50 37 \n", + "\n", + "T : 84856 10009 3754 820 561 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 20.4%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 6.0553e-02 sec\n", + "--- Collate = 1.6012e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.584769e-08 < 6.250000e-03 [330]\n", + "--- Max DT=3.226301e-01 > 1.000000e-01 [68417]\n", + "----------------------------------------------------------------------\n", + " Component | low: 330/100000\n", + " Component | high: 68417/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=40.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000504755 [ 0.01 %]\n", + "Velocity : 0.00215766 [ 0.06 %]\n", + "Force : 0.742773 [ 18.95 %]\n", + "Coefs : 2.38761 [ 60.92 %]\n", + "Output : 0.000899419 [ 0.02 %]\n", + "Levels : 0.000302499 [ 0.01 %]\n", + "Report : 9.75e-07 [ 0.00 %]\n", + "Balance : 4.73e-07 [ 0.00 %]\n", + "Adjust : 0.784758 [ 20.02 %]\n", + "Total : 3.91906 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6059 694 269 64 56 \n", + "1 : 6075 697 277 60 33 \n", + "2 : 6013 748 286 61 34 \n", + "3 : 6029 716 307 58 32 \n", + "4 : 6076 698 270 63 35 \n", + "5 : 6135 680 230 55 42 \n", + "6 : 6045 732 271 54 40 \n", + "7 : 6030 741 274 61 36 \n", + "8 : 6074 676 282 64 46 \n", + "9 : 6074 719 244 57 48 \n", + "10 : 6040 723 281 54 44 \n", + "11 : 6020 760 258 62 42 \n", + "12 : 6052 722 273 56 39 \n", + "13 : 6076 736 254 49 39 \n", + "\n", + "T : 84798 10042 3776 818 566 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 29.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 6.3012e-02 sec\n", + "--- Collate = 7.5186e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.836395e-05 < 6.250000e-03 [331]\n", + "--- Max DT=3.283874e-01 > 1.000000e-01 [68419]\n", + "----------------------------------------------------------------------\n", + " Component | low: 331/100000\n", + " Component | high: 68419/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=41] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00044162 [ 0.01 %]\n", + "Velocity : 0.00153865 [ 0.04 %]\n", + "Force : 0.612105 [ 15.97 %]\n", + "Coefs : 2.41169 [ 62.93 %]\n", + "Output : 0.00866818 [ 0.23 %]\n", + "Levels : 0.000260482 [ 0.01 %]\n", + "Report : 1.393e-06 [ 0.00 %]\n", + "Balance : 5.87e-07 [ 0.00 %]\n", + "Adjust : 0.797367 [ 20.81 %]\n", + "Total : 3.83213 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6060 693 271 64 54 \n", + "1 : 6070 701 273 63 35 \n", + "2 : 6006 748 291 61 36 \n", + "3 : 6033 709 304 61 35 \n", + "4 : 6079 686 273 69 35 \n", + "5 : 6131 685 230 53 43 \n", + "6 : 6033 739 272 59 39 \n", + "7 : 6026 740 276 63 37 \n", + "8 : 6074 674 284 61 49 \n", + "9 : 6068 723 244 58 49 \n", + "10 : 6040 725 276 54 47 \n", + "11 : 6026 753 258 60 45 \n", + "12 : 6046 731 274 48 43 \n", + "13 : 6073 743 246 54 38 \n", + "\n", + "T : 84765 10050 3772 828 585 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 5.0513e-02 sec\n", + "--- Collate = 9.8647e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.217872e-05 < 6.250000e-03 [328]\n", + "--- Max DT=3.261574e-01 > 1.000000e-01 [68438]\n", + "----------------------------------------------------------------------\n", + " Component | low: 328/100000\n", + " Component | high: 68438/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=41.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0046205 [ 0.17 %]\n", + "Velocity : 0.00231803 [ 0.08 %]\n", + "Force : 0.469565 [ 16.94 %]\n", + "Coefs : 1.71476 [ 61.87 %]\n", + "Output : 0.00105002 [ 0.04 %]\n", + "Levels : 0.000270464 [ 0.01 %]\n", + "Report : 1.274e-06 [ 0.00 %]\n", + "Balance : 4.77e-07 [ 0.00 %]\n", + "Adjust : 0.579089 [ 20.89 %]\n", + "Total : 2.77173 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6067 688 272 65 50 \n", + "1 : 6062 715 267 63 35 \n", + "2 : 6011 735 299 61 36 \n", + "3 : 6029 713 299 64 37 \n", + "4 : 6076 681 278 71 36 \n", + "5 : 6130 685 231 55 41 \n", + "6 : 6030 746 262 71 33 \n", + "7 : 6025 744 273 63 37 \n", + "8 : 6072 673 284 65 48 \n", + "9 : 6070 723 236 66 47 \n", + "10 : 6031 733 271 59 48 \n", + "11 : 6033 741 265 52 51 \n", + "12 : 6044 737 257 59 45 \n", + "13 : 6080 731 253 49 41 \n", + "\n", + "T : 84760 10045 3747 863 585 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 3.7510e-02 sec\n", + "--- Collate = 1.1990e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.126448e-05 < 6.250000e-03 [331]\n", + "--- Max DT=3.435749e-01 > 1.000000e-01 [68432]\n", + "----------------------------------------------------------------------\n", + " Component | low: 331/100000\n", + " Component | high: 68432/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=41.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00449838 [ 0.14 %]\n", + "Velocity : 0.00187814 [ 0.06 %]\n", + "Force : 0.514765 [ 16.47 %]\n", + "Coefs : 2.00288 [ 64.06 %]\n", + "Output : 0.00509369 [ 0.16 %]\n", + "Levels : 0.000282255 [ 0.01 %]\n", + "Report : 1.008e-06 [ 0.00 %]\n", + "Balance : 2.99e-07 [ 0.00 %]\n", + "Adjust : 0.596931 [ 19.09 %]\n", + "Total : 3.12639 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6067 689 270 67 49 \n", + "1 : 6060 703 286 53 40 \n", + "2 : 6006 734 304 59 39 \n", + "3 : 6029 711 303 56 43 \n", + "4 : 6078 683 263 83 35 \n", + "5 : 6125 685 243 53 36 \n", + "6 : 6032 734 272 65 39 \n", + "7 : 6020 746 271 68 37 \n", + "8 : 6065 690 270 69 48 \n", + "9 : 6069 719 238 68 48 \n", + "10 : 6037 724 269 65 47 \n", + "11 : 6022 751 268 51 50 \n", + "12 : 6047 731 257 63 44 \n", + "13 : 6083 729 247 51 44 \n", + "\n", + "T : 84740 10029 3761 871 599 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.2558e-02 sec\n", + "--- Collate = 1.2026e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.074508e-08 < 6.250000e-03 [326]\n", + "--- Max DT=3.520756e-01 > 1.000000e-01 [68402]\n", + "----------------------------------------------------------------------\n", + " Component | low: 326/100000\n", + " Component | high: 68402/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=41.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000442957 [ 0.01 %]\n", + "Velocity : 0.00163462 [ 0.05 %]\n", + "Force : 0.496688 [ 15.96 %]\n", + "Coefs : 1.88383 [ 60.55 %]\n", + "Output : 0.000880234 [ 0.03 %]\n", + "Levels : 0.000244979 [ 0.01 %]\n", + "Report : 1.001e-06 [ 0.00 %]\n", + "Balance : 3.82e-07 [ 0.00 %]\n", + "Adjust : 0.727651 [ 23.39 %]\n", + "Total : 3.11143 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6060 696 268 71 47 \n", + "1 : 6048 723 275 57 39 \n", + "2 : 6003 733 310 56 40 \n", + "3 : 6029 706 306 60 41 \n", + "4 : 6073 680 268 84 37 \n", + "5 : 6125 682 243 57 35 \n", + "6 : 6036 731 273 59 43 \n", + "7 : 6030 734 267 77 34 \n", + "8 : 6064 686 276 67 49 \n", + "9 : 6056 728 245 62 51 \n", + "10 : 6042 715 267 71 47 \n", + "11 : 6021 744 272 57 48 \n", + "12 : 6038 743 253 63 45 \n", + "13 : 6080 725 255 49 45 \n", + "\n", + "T : 84705 10026 3778 890 601 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 4.8514e-02 sec\n", + "--- Collate = 7.0215e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.560369e-06 < 6.250000e-03 [325]\n", + "--- Max DT=3.522145e-01 > 1.000000e-01 [68419]\n", + "----------------------------------------------------------------------\n", + " Component | low: 325/100000\n", + " Component | high: 68419/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=41.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000878536 [ 0.03 %]\n", + "Velocity : 0.00248824 [ 0.09 %]\n", + "Force : 0.522961 [ 18.01 %]\n", + "Coefs : 1.76136 [ 60.66 %]\n", + "Output : 0.000984502 [ 0.03 %]\n", + "Levels : 0.000259407 [ 0.01 %]\n", + "Report : 7.77e-07 [ 0.00 %]\n", + "Balance : 3.12e-07 [ 0.00 %]\n", + "Adjust : 0.614445 [ 21.16 %]\n", + "Total : 2.90343 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6058 690 276 72 46 \n", + "1 : 6044 717 285 55 41 \n", + "2 : 5996 739 312 57 38 \n", + "3 : 6034 696 314 57 41 \n", + "4 : 6074 678 273 77 40 \n", + "5 : 6119 687 237 61 38 \n", + "6 : 6042 719 276 59 46 \n", + "7 : 6031 733 263 81 34 \n", + "8 : 6059 689 281 61 52 \n", + "9 : 6058 719 256 52 57 \n", + "10 : 6033 717 276 66 50 \n", + "11 : 6023 733 280 61 45 \n", + "12 : 6045 740 248 61 48 \n", + "13 : 6080 719 256 52 47 \n", + "\n", + "T : 84696 9976 3833 872 623 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 7.8780e-02 sec\n", + "--- Collate = 8.0694e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.449804e-05 < 6.250000e-03 [338]\n", + "--- Max DT=4.690996e-01 > 1.000000e-01 [68418]\n", + "----------------------------------------------------------------------\n", + " Component | low: 338/100000\n", + " Component | high: 68418/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=41.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000699771 [ 0.02 %]\n", + "Velocity : 0.00283533 [ 0.08 %]\n", + "Force : 0.639079 [ 19.12 %]\n", + "Coefs : 2.02486 [ 60.58 %]\n", + "Output : 0.00117235 [ 0.04 %]\n", + "Levels : 0.000272851 [ 0.01 %]\n", + "Report : 8.85e-07 [ 0.00 %]\n", + "Balance : 3.12e-07 [ 0.00 %]\n", + "Adjust : 0.673559 [ 20.15 %]\n", + "Total : 3.34254 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6052 697 275 68 50 \n", + "1 : 6043 717 290 52 40 \n", + "2 : 5998 731 311 70 32 \n", + "3 : 6042 677 332 49 42 \n", + "4 : 6071 678 268 86 39 \n", + "5 : 6121 684 236 59 42 \n", + "6 : 6039 714 281 63 45 \n", + "7 : 6025 734 266 78 39 \n", + "8 : 6052 694 282 62 52 \n", + "9 : 6050 723 264 49 56 \n", + "10 : 6028 718 273 67 56 \n", + "11 : 6030 722 290 55 45 \n", + "12 : 6043 739 256 61 43 \n", + "13 : 6068 732 260 49 45 \n", + "\n", + "T : 84662 9960 3884 868 626 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 3.9498e-02 sec\n", + "--- Collate = 1.4018e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.296508e-05 < 6.250000e-03 [346]\n", + "--- Max DT=3.758373e-01 > 1.000000e-01 [68401]\n", + "----------------------------------------------------------------------\n", + " Component | low: 346/100000\n", + " Component | high: 68401/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=41.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000918982 [ 0.03 %]\n", + "Velocity : 0.00252438 [ 0.08 %]\n", + "Force : 0.51073 [ 17.11 %]\n", + "Coefs : 1.85897 [ 62.26 %]\n", + "Output : 0.00135232 [ 0.05 %]\n", + "Levels : 0.000314923 [ 0.01 %]\n", + "Report : 9.21e-07 [ 0.00 %]\n", + "Balance : 3.81e-07 [ 0.00 %]\n", + "Adjust : 0.610878 [ 20.46 %]\n", + "Total : 2.98575 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6046 699 281 69 47 \n", + "1 : 6040 715 297 52 38 \n", + "2 : 5988 738 314 67 35 \n", + "3 : 6031 682 333 53 43 \n", + "4 : 6076 664 285 79 38 \n", + "5 : 6121 687 230 63 41 \n", + "6 : 6040 706 285 72 39 \n", + "7 : 6020 737 264 73 48 \n", + "8 : 6054 697 271 60 60 \n", + "9 : 6036 729 263 60 54 \n", + "10 : 6025 716 284 65 52 \n", + "11 : 6032 713 295 60 42 \n", + "12 : 6042 736 260 63 41 \n", + "13 : 6057 748 251 53 45 \n", + "\n", + "T : 84608 9967 3913 889 623 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 4.7546e-02 sec\n", + "--- Collate = 8.0052e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.734706e-06 < 6.250000e-03 [369]\n", + "--- Max DT=3.803981e-01 > 1.000000e-01 [68445]\n", + "----------------------------------------------------------------------\n", + " Component | low: 369/100000\n", + " Component | high: 68445/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=41.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000798897 [ 0.02 %]\n", + "Velocity : 0.0023713 [ 0.07 %]\n", + "Force : 0.532504 [ 16.30 %]\n", + "Coefs : 2.01467 [ 61.67 %]\n", + "Output : 0.00146998 [ 0.04 %]\n", + "Levels : 0.00025446 [ 0.01 %]\n", + "Report : 1.043e-06 [ 0.00 %]\n", + "Balance : 3.51e-07 [ 0.00 %]\n", + "Adjust : 0.714839 [ 21.88 %]\n", + "Total : 3.26696 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6038 705 280 71 48 \n", + "1 : 6033 714 304 52 39 \n", + "2 : 5977 751 302 70 42 \n", + "3 : 6029 684 327 58 44 \n", + "4 : 6063 679 283 78 39 \n", + "5 : 6115 690 234 62 41 \n", + "6 : 6033 713 285 69 42 \n", + "7 : 6026 728 265 72 51 \n", + "8 : 6058 688 270 68 58 \n", + "9 : 6033 727 261 67 54 \n", + "10 : 6022 722 288 57 53 \n", + "11 : 6031 709 295 66 41 \n", + "12 : 6034 740 263 69 36 \n", + "13 : 6061 741 255 52 45 \n", + "\n", + "T : 84553 9991 3912 911 633 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 3.8781e-02 sec\n", + "--- Collate = 2.7322e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.492983e-07 < 6.250000e-03 [375]\n", + "--- Max DT=3.686297e-01 > 1.000000e-01 [68419]\n", + "----------------------------------------------------------------------\n", + " Component | low: 375/100000\n", + " Component | high: 68419/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=41.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000576538 [ 0.02 %]\n", + "Velocity : 0.00265536 [ 0.09 %]\n", + "Force : 0.571522 [ 19.06 %]\n", + "Coefs : 1.79195 [ 59.77 %]\n", + "Output : 0.00132236 [ 0.04 %]\n", + "Levels : 0.00030776 [ 0.01 %]\n", + "Report : 8.63e-07 [ 0.00 %]\n", + "Balance : 5.31e-07 [ 0.00 %]\n", + "Adjust : 0.629533 [ 21.00 %]\n", + "Total : 2.99793 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6034 705 280 67 56 \n", + "1 : 6026 720 297 58 41 \n", + "2 : 5977 746 295 80 44 \n", + "3 : 6025 685 327 63 42 \n", + "4 : 6060 681 281 79 41 \n", + "5 : 6113 694 234 57 44 \n", + "6 : 6031 707 293 68 43 \n", + "7 : 6027 721 278 62 54 \n", + "8 : 6056 685 274 69 58 \n", + "9 : 6031 724 266 67 54 \n", + "10 : 6023 713 292 61 53 \n", + "11 : 6026 711 297 63 45 \n", + "12 : 6027 741 260 76 38 \n", + "13 : 6060 735 260 54 45 \n", + "\n", + "T : 84516 9968 3934 924 658 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 33.7%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 6.6341e-02 sec\n", + "--- Collate = 1.0376e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.811673e-05 < 6.250000e-03 [394]\n", + "--- Max DT=3.691673e-01 > 1.000000e-01 [68421]\n", + "----------------------------------------------------------------------\n", + " Component | low: 394/100000\n", + " Component | high: 68421/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=41.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000506145 [ 0.01 %]\n", + "Velocity : 0.00261821 [ 0.07 %]\n", + "Force : 0.644097 [ 17.31 %]\n", + "Coefs : 2.255 [ 60.59 %]\n", + "Output : 0.00150623 [ 0.04 %]\n", + "Levels : 0.00028961 [ 0.01 %]\n", + "Report : 1.264e-06 [ 0.00 %]\n", + "Balance : 4.23e-07 [ 0.00 %]\n", + "Adjust : 0.817446 [ 21.97 %]\n", + "Total : 3.72152 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6034 702 289 59 58 \n", + "1 : 6019 730 290 58 45 \n", + "2 : 5977 744 294 80 47 \n", + "3 : 6024 684 324 64 46 \n", + "4 : 6048 688 281 81 44 \n", + "5 : 6113 699 232 61 37 \n", + "6 : 6028 712 291 59 52 \n", + "7 : 6034 707 277 70 54 \n", + "8 : 6048 689 273 71 61 \n", + "9 : 6033 722 264 65 58 \n", + "10 : 6021 716 290 60 55 \n", + "11 : 6031 698 295 73 45 \n", + "12 : 6023 741 264 74 40 \n", + "13 : 6060 728 263 53 50 \n", + "\n", + "T : 84493 9960 3927 928 692 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 2.9729e-02 sec\n", + "--- Collate = 7.0128e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.770600e-05 < 6.250000e-03 [394]\n", + "--- Max DT=3.647154e-01 > 1.000000e-01 [68395]\n", + "----------------------------------------------------------------------\n", + " Component | low: 394/100000\n", + " Component | high: 68395/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=42] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000923495 [ 0.02 %]\n", + "Velocity : 0.00225165 [ 0.06 %]\n", + "Force : 0.603166 [ 16.20 %]\n", + "Coefs : 2.34702 [ 63.04 %]\n", + "Output : 0.00970569 [ 0.26 %]\n", + "Levels : 0.000158929 [ 0.00 %]\n", + "Report : 4.12e-07 [ 0.00 %]\n", + "Balance : 2.53e-07 [ 0.00 %]\n", + "Adjust : 0.759521 [ 20.40 %]\n", + "Total : 3.7228 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6027 702 290 68 55 \n", + "1 : 6015 733 286 61 47 \n", + "2 : 5983 731 299 77 52 \n", + "3 : 6020 684 320 71 47 \n", + "4 : 6042 698 279 72 51 \n", + "5 : 6107 704 231 59 41 \n", + "6 : 6036 705 291 58 52 \n", + "7 : 6023 705 293 63 58 \n", + "8 : 6046 687 279 69 61 \n", + "9 : 6027 723 262 73 57 \n", + "10 : 6019 718 289 58 58 \n", + "11 : 6029 701 282 86 44 \n", + "12 : 6018 740 272 68 44 \n", + "13 : 6053 735 258 59 49 \n", + "\n", + "T : 84445 9966 3931 942 716 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 4.6807e-02 sec\n", + "--- Collate = 8.0110e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.361792e-05 < 6.250000e-03 [402]\n", + "--- Max DT=3.672519e-01 > 1.000000e-01 [68356]\n", + "----------------------------------------------------------------------\n", + " Component | low: 402/100000\n", + " Component | high: 68356/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=42.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000202352 [ 0.01 %]\n", + "Velocity : 0.00124784 [ 0.04 %]\n", + "Force : 0.568994 [ 17.66 %]\n", + "Coefs : 2.00842 [ 62.33 %]\n", + "Output : 0.000739296 [ 0.02 %]\n", + "Levels : 0.000174353 [ 0.01 %]\n", + "Report : 4.17e-07 [ 0.00 %]\n", + "Balance : 1.6e-07 [ 0.00 %]\n", + "Adjust : 0.642448 [ 19.94 %]\n", + "Total : 3.22226 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6030 698 287 74 53 \n", + "1 : 6011 738 280 68 45 \n", + "2 : 5975 734 302 73 58 \n", + "3 : 6021 683 322 69 47 \n", + "4 : 6042 701 282 63 54 \n", + "5 : 6100 704 235 57 46 \n", + "6 : 6030 714 287 58 53 \n", + "7 : 6015 712 289 63 63 \n", + "8 : 6042 675 303 63 59 \n", + "9 : 6026 719 265 69 63 \n", + "10 : 6020 712 291 60 59 \n", + "11 : 6030 698 282 85 47 \n", + "12 : 6012 742 276 62 50 \n", + "13 : 6046 728 268 59 53 \n", + "\n", + "T : 84400 9958 3969 923 750 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.4460e-02 sec\n", + "--- Collate = 5.0078e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.968149e-07 < 6.250000e-03 [414]\n", + "--- Max DT=4.125440e-01 > 1.000000e-01 [68366]\n", + "----------------------------------------------------------------------\n", + " Component | low: 414/100000\n", + " Component | high: 68366/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=42.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000225033 [ 0.01 %]\n", + "Velocity : 0.00126758 [ 0.04 %]\n", + "Force : 0.426715 [ 13.85 %]\n", + "Coefs : 1.99493 [ 64.77 %]\n", + "Output : 0.000790049 [ 0.03 %]\n", + "Levels : 0.000141618 [ 0.00 %]\n", + "Report : 3.42e-07 [ 0.00 %]\n", + "Balance : 1.85e-07 [ 0.00 %]\n", + "Adjust : 0.655866 [ 21.29 %]\n", + "Total : 3.07996 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6023 709 284 71 55 \n", + "1 : 6012 735 280 69 46 \n", + "2 : 5972 743 290 75 62 \n", + "3 : 6023 681 318 76 44 \n", + "4 : 6036 715 270 68 53 \n", + "5 : 6099 705 234 61 43 \n", + "6 : 6030 708 293 59 52 \n", + "7 : 6023 701 291 68 59 \n", + "8 : 6036 681 300 60 65 \n", + "9 : 6035 707 266 70 64 \n", + "10 : 6018 717 284 66 57 \n", + "11 : 6028 696 282 83 53 \n", + "12 : 6013 742 271 70 46 \n", + "13 : 6044 727 271 58 54 \n", + "\n", + "T : 84392 9967 3934 954 753 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 3.0497e-02 sec\n", + "--- Collate = 5.0233e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.526287e-06 < 6.250000e-03 [418]\n", + "--- Max DT=4.171642e-01 > 1.000000e-01 [68394]\n", + "----------------------------------------------------------------------\n", + " Component | low: 418/100000\n", + " Component | high: 68394/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=42.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000187412 [ 0.01 %]\n", + "Velocity : 0.00120103 [ 0.04 %]\n", + "Force : 0.475164 [ 17.01 %]\n", + "Coefs : 1.80499 [ 64.63 %]\n", + "Output : 0.000780672 [ 0.03 %]\n", + "Levels : 0.00016149 [ 0.01 %]\n", + "Report : 4.12e-07 [ 0.00 %]\n", + "Balance : 1.6e-07 [ 0.00 %]\n", + "Adjust : 0.510303 [ 18.27 %]\n", + "Total : 2.79281 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6024 698 298 66 56 \n", + "1 : 6010 743 266 72 51 \n", + "2 : 5970 752 286 73 61 \n", + "3 : 6023 673 318 83 45 \n", + "4 : 6028 726 266 71 51 \n", + "5 : 6106 697 232 66 41 \n", + "6 : 6019 725 286 59 53 \n", + "7 : 6026 699 289 67 61 \n", + "8 : 6038 675 302 64 63 \n", + "9 : 6030 713 265 73 61 \n", + "10 : 6014 715 288 69 56 \n", + "11 : 6019 707 277 87 52 \n", + "12 : 6009 746 260 77 50 \n", + "13 : 6052 722 262 62 56 \n", + "\n", + "T : 84368 9991 3895 989 757 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 3.7646e-02 sec\n", + "--- Collate = 6.0095e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.328564e-05 < 6.250000e-03 [432]\n", + "--- Max DT=4.130628e-01 > 1.000000e-01 [68389]\n", + "----------------------------------------------------------------------\n", + " Component | low: 432/100000\n", + " Component | high: 68389/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=42.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000219151 [ 0.01 %]\n", + "Velocity : 0.00131166 [ 0.05 %]\n", + "Force : 0.477727 [ 16.65 %]\n", + "Coefs : 1.79229 [ 62.45 %]\n", + "Output : 0.000780937 [ 0.03 %]\n", + "Levels : 0.000150678 [ 0.01 %]\n", + "Report : 6.11e-07 [ 0.00 %]\n", + "Balance : 2.89e-07 [ 0.00 %]\n", + "Adjust : 0.597569 [ 20.82 %]\n", + "Total : 2.87008 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6016 710 293 70 53 \n", + "1 : 6008 742 269 71 52 \n", + "2 : 5971 751 280 77 63 \n", + "3 : 6026 670 316 79 51 \n", + "4 : 6028 722 272 70 50 \n", + "5 : 6100 698 241 57 46 \n", + "6 : 6011 721 298 54 58 \n", + "7 : 6021 701 295 73 52 \n", + "8 : 6037 673 300 76 56 \n", + "9 : 6033 704 271 74 60 \n", + "10 : 6012 715 285 68 62 \n", + "11 : 6016 711 278 80 57 \n", + "12 : 6011 748 257 72 54 \n", + "13 : 6049 726 254 72 53 \n", + "\n", + "T : 84339 9992 3909 993 767 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 4.5554e-02 sec\n", + "--- Collate = 8.0188e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.928821e-06 < 6.250000e-03 [440]\n", + "--- Max DT=4.152639e-01 > 1.000000e-01 [68407]\n", + "----------------------------------------------------------------------\n", + " Component | low: 440/100000\n", + " Component | high: 68407/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=42.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000239178 [ 0.01 %]\n", + "Velocity : 0.00145725 [ 0.05 %]\n", + "Force : 0.50782 [ 17.82 %]\n", + "Coefs : 1.78651 [ 62.68 %]\n", + "Output : 0.000809731 [ 0.03 %]\n", + "Levels : 0.000524155 [ 0.02 %]\n", + "Report : 3.25e-07 [ 0.00 %]\n", + "Balance : 1.67e-07 [ 0.00 %]\n", + "Adjust : 0.552931 [ 19.40 %]\n", + "Total : 2.85032 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6001 734 276 73 58 \n", + "1 : 6010 737 270 70 55 \n", + "2 : 5973 736 294 76 63 \n", + "3 : 6029 669 317 74 53 \n", + "4 : 6023 737 263 69 50 \n", + "5 : 6109 685 240 64 44 \n", + "6 : 6011 714 294 64 59 \n", + "7 : 6022 700 287 80 53 \n", + "8 : 6036 674 299 71 62 \n", + "9 : 6028 712 265 71 66 \n", + "10 : 6020 705 287 65 65 \n", + "11 : 6012 710 282 80 58 \n", + "12 : 6016 743 256 74 53 \n", + "13 : 6047 715 263 73 56 \n", + "\n", + "T : 84337 9971 3893 1004 795 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.2278e-02 sec\n", + "--- Collate = 1.2022e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.669831e-05 < 6.250000e-03 [451]\n", + "--- Max DT=3.956233e-01 > 1.000000e-01 [68403]\n", + "----------------------------------------------------------------------\n", + " Component | low: 451/100000\n", + " Component | high: 68403/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=42.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000353319 [ 0.01 %]\n", + "Velocity : 0.00237704 [ 0.07 %]\n", + "Force : 0.573603 [ 16.15 %]\n", + "Coefs : 2.19395 [ 61.75 %]\n", + "Output : 0.0013707 [ 0.04 %]\n", + "Levels : 0.000467002 [ 0.01 %]\n", + "Report : 8.63e-07 [ 0.00 %]\n", + "Balance : 4.05e-07 [ 0.00 %]\n", + "Adjust : 0.780582 [ 21.97 %]\n", + "Total : 3.55275 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6004 726 279 74 59 \n", + "1 : 6009 730 270 75 58 \n", + "2 : 5976 732 295 67 72 \n", + "3 : 6026 670 315 74 57 \n", + "4 : 6024 737 262 68 51 \n", + "5 : 6105 696 232 69 40 \n", + "6 : 6006 705 310 67 54 \n", + "7 : 6022 700 285 81 54 \n", + "8 : 6027 685 293 74 63 \n", + "9 : 6026 713 261 78 64 \n", + "10 : 6018 717 277 68 62 \n", + "11 : 6018 712 276 67 69 \n", + "12 : 6020 733 262 71 56 \n", + "13 : 6043 718 266 68 59 \n", + "\n", + "T : 84324 9974 3883 1001 818 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 23.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 5.7272e-02 sec\n", + "--- Collate = 7.0192e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.499753e-06 < 6.250000e-03 [487]\n", + "--- Max DT=4.070261e-01 > 1.000000e-01 [68401]\n", + "----------------------------------------------------------------------\n", + " Component | low: 487/100000\n", + " Component | high: 68401/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=42.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00056241 [ 0.02 %]\n", + "Velocity : 0.00309633 [ 0.08 %]\n", + "Force : 0.548391 [ 14.83 %]\n", + "Coefs : 2.38659 [ 64.52 %]\n", + "Output : 0.00144475 [ 0.04 %]\n", + "Levels : 0.000296509 [ 0.01 %]\n", + "Report : 7.55e-07 [ 0.00 %]\n", + "Balance : 4.11e-07 [ 0.00 %]\n", + "Adjust : 0.758261 [ 20.50 %]\n", + "Total : 3.6987 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6010 719 282 75 56 \n", + "1 : 6007 729 268 82 56 \n", + "2 : 5971 742 284 72 73 \n", + "3 : 6035 654 318 75 60 \n", + "4 : 6025 735 256 77 49 \n", + "5 : 6091 712 231 69 39 \n", + "6 : 6007 713 297 70 55 \n", + "7 : 6008 716 282 78 58 \n", + "8 : 6029 682 290 76 65 \n", + "9 : 6026 702 266 81 67 \n", + "10 : 6015 719 284 61 63 \n", + "11 : 6014 723 265 71 69 \n", + "12 : 6011 742 264 62 63 \n", + "13 : 6039 723 267 61 64 \n", + "\n", + "T : 84288 10011 3854 1010 837 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 27.5%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 4.7454e-02 sec\n", + "--- Collate = 1.1025e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.097151e-06 < 6.250000e-03 [491]\n", + "--- Max DT=4.364407e-01 > 1.000000e-01 [68422]\n", + "----------------------------------------------------------------------\n", + " Component | low: 491/100000\n", + " Component | high: 68422/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=42.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000742221 [ 0.02 %]\n", + "Velocity : 0.0028535 [ 0.07 %]\n", + "Force : 0.721501 [ 17.52 %]\n", + "Coefs : 2.58006 [ 62.64 %]\n", + "Output : 0.00160864 [ 0.04 %]\n", + "Levels : 0.000300788 [ 0.01 %]\n", + "Report : 9.63e-07 [ 0.00 %]\n", + "Balance : 4.63e-07 [ 0.00 %]\n", + "Adjust : 0.811597 [ 19.71 %]\n", + "Total : 4.11872 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6009 719 282 78 54 \n", + "1 : 6002 738 262 74 66 \n", + "2 : 5959 751 286 75 71 \n", + "3 : 6026 663 314 75 64 \n", + "4 : 6024 733 258 74 53 \n", + "5 : 6085 715 237 63 42 \n", + "6 : 6011 702 306 71 52 \n", + "7 : 6013 714 280 76 59 \n", + "8 : 6023 689 284 81 65 \n", + "9 : 6021 697 272 87 65 \n", + "10 : 6003 731 276 69 63 \n", + "11 : 6012 724 264 72 70 \n", + "12 : 6009 737 268 72 56 \n", + "13 : 6036 718 275 63 62 \n", + "\n", + "T : 84233 10031 3864 1030 842 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.6604e-02 sec\n", + "--- Collate = 1.7011e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.197199e-06 < 6.250000e-03 [511]\n", + "--- Max DT=4.631828e-01 > 1.000000e-01 [68428]\n", + "----------------------------------------------------------------------\n", + " Component | low: 511/100000\n", + " Component | high: 68428/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=42.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000575006 [ 0.02 %]\n", + "Velocity : 0.00282664 [ 0.08 %]\n", + "Force : 0.562009 [ 16.74 %]\n", + "Coefs : 2.11002 [ 62.83 %]\n", + "Output : 0.00156486 [ 0.05 %]\n", + "Levels : 0.000288963 [ 0.01 %]\n", + "Report : 9.67e-07 [ 0.00 %]\n", + "Balance : 3.1e-07 [ 0.00 %]\n", + "Adjust : 0.680852 [ 20.27 %]\n", + "Total : 3.35819 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6005 720 287 74 56 \n", + "1 : 6001 737 257 77 70 \n", + "2 : 5956 760 278 70 78 \n", + "3 : 6019 667 317 74 65 \n", + "4 : 6026 733 255 76 52 \n", + "5 : 6073 719 236 71 43 \n", + "6 : 5997 716 301 70 58 \n", + "7 : 6013 711 283 75 60 \n", + "8 : 6021 695 278 79 69 \n", + "9 : 6027 692 266 96 61 \n", + "10 : 6000 731 280 66 65 \n", + "11 : 6009 724 271 70 68 \n", + "12 : 6006 731 279 71 55 \n", + "13 : 6033 720 272 66 63 \n", + "\n", + "T : 84186 10056 3860 1035 863 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 5.5572e-02 sec\n", + "--- Collate = 3.4769e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.044709e-06 < 6.250000e-03 [504]\n", + "--- Max DT=4.593537e-01 > 1.000000e-01 [68434]\n", + "----------------------------------------------------------------------\n", + " Component | low: 504/100000\n", + " Component | high: 68434/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=43] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00500985 [ 0.14 %]\n", + "Velocity : 0.00249924 [ 0.07 %]\n", + "Force : 0.635176 [ 17.13 %]\n", + "Coefs : 2.37594 [ 64.09 %]\n", + "Output : 0.00880917 [ 0.24 %]\n", + "Levels : 0.000237787 [ 0.01 %]\n", + "Report : 1.272e-06 [ 0.00 %]\n", + "Balance : 6.43e-07 [ 0.00 %]\n", + "Adjust : 0.679177 [ 18.32 %]\n", + "Total : 3.70691 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6007 720 280 70 65 \n", + "1 : 5994 733 271 74 70 \n", + "2 : 5951 771 275 66 79 \n", + "3 : 6009 682 310 80 61 \n", + "4 : 6013 744 260 67 58 \n", + "5 : 6062 727 240 72 41 \n", + "6 : 6000 707 306 68 61 \n", + "7 : 6004 725 275 76 62 \n", + "8 : 6017 697 277 81 70 \n", + "9 : 6028 693 264 100 57 \n", + "10 : 5992 744 269 70 67 \n", + "11 : 6008 727 269 70 68 \n", + "12 : 6000 737 280 68 57 \n", + "13 : 6034 723 259 70 68 \n", + "\n", + "T : 84119 10130 3835 1032 884 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 6.4310e-02 sec\n", + "--- Collate = 2.8177e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.590517e-05 < 6.250000e-03 [509]\n", + "--- Max DT=4.636497e-01 > 1.000000e-01 [68455]\n", + "----------------------------------------------------------------------\n", + " Component | low: 509/100000\n", + " Component | high: 68455/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=43.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000518463 [ 0.01 %]\n", + "Velocity : 0.00615309 [ 0.17 %]\n", + "Force : 0.551963 [ 15.41 %]\n", + "Coefs : 2.27408 [ 63.49 %]\n", + "Output : 0.00105016 [ 0.03 %]\n", + "Levels : 0.000262497 [ 0.01 %]\n", + "Report : 7.44e-07 [ 0.00 %]\n", + "Balance : 2.32e-07 [ 0.00 %]\n", + "Adjust : 0.747914 [ 20.88 %]\n", + "Total : 3.582 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6001 723 284 68 66 \n", + "1 : 6001 723 275 72 71 \n", + "2 : 5945 773 279 71 74 \n", + "3 : 6014 681 304 86 57 \n", + "4 : 6003 749 264 70 56 \n", + "5 : 6063 726 230 79 44 \n", + "6 : 5996 723 294 65 64 \n", + "7 : 6002 725 276 72 67 \n", + "8 : 6009 705 278 75 75 \n", + "9 : 6032 677 266 102 65 \n", + "10 : 5997 734 279 67 65 \n", + "11 : 6010 719 264 75 74 \n", + "12 : 6002 736 278 67 59 \n", + "13 : 6036 720 259 70 69 \n", + "\n", + "T : 84111 10114 3830 1039 906 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 8.4514e-02 sec\n", + "--- Collate = 9.0077e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.411663e-06 < 6.250000e-03 [510]\n", + "--- Max DT=4.656636e-01 > 1.000000e-01 [68452]\n", + "----------------------------------------------------------------------\n", + " Component | low: 510/100000\n", + " Component | high: 68452/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=43.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000492884 [ 0.01 %]\n", + "Velocity : 0.00195869 [ 0.05 %]\n", + "Force : 0.64289 [ 17.70 %]\n", + "Coefs : 2.23324 [ 61.50 %]\n", + "Output : 0.00113726 [ 0.03 %]\n", + "Levels : 0.000207562 [ 0.01 %]\n", + "Report : 4.77e-07 [ 0.00 %]\n", + "Balance : 2.79e-07 [ 0.00 %]\n", + "Adjust : 0.751435 [ 20.69 %]\n", + "Total : 3.63142 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5997 726 284 65 70 \n", + "1 : 5997 724 278 70 73 \n", + "2 : 5945 766 275 83 73 \n", + "3 : 6009 689 303 80 61 \n", + "4 : 6004 752 263 65 58 \n", + "5 : 6059 729 231 71 52 \n", + "6 : 5994 737 287 60 64 \n", + "7 : 5998 720 287 69 68 \n", + "8 : 6008 706 279 75 74 \n", + "9 : 6032 676 263 101 70 \n", + "10 : 5996 731 279 77 59 \n", + "11 : 6006 725 270 71 70 \n", + "12 : 6004 743 272 60 63 \n", + "13 : 6034 724 260 65 71 \n", + "\n", + "T : 84083 10148 3831 1012 926 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 29.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 6.0279e-02 sec\n", + "--- Collate = 1.6018e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.670247e-06 < 6.250000e-03 [521]\n", + "--- Max DT=4.524611e-01 > 1.000000e-01 [68431]\n", + "----------------------------------------------------------------------\n", + " Component | low: 521/100000\n", + " Component | high: 68431/100000\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=43.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000681825 [ 0.02 %]\n", + "Velocity : 0.00266675 [ 0.07 %]\n", + "Force : 0.666417 [ 17.98 %]\n", + "Coefs : 2.15533 [ 58.15 %]\n", + "Output : 0.00148138 [ 0.04 %]\n", + "Levels : 0.000301909 [ 0.01 %]\n", + "Report : 1.172e-06 [ 0.00 %]\n", + "Balance : 5.06e-07 [ 0.00 %]\n", + "Adjust : 0.879887 [ 23.74 %]\n", + "Total : 3.70682 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5998 726 282 68 68 \n", + "1 : 5992 731 275 71 73 \n", + "2 : 5948 759 278 82 75 \n", + "3 : 6008 685 306 82 61 \n", + "4 : 5998 758 259 69 58 \n", + "5 : 6060 733 231 72 46 \n", + "6 : 5991 730 292 67 62 \n", + "7 : 5993 730 275 74 70 \n", + "8 : 6006 715 270 81 70 \n", + "9 : 6035 672 268 91 76 \n", + "10 : 5996 743 264 80 59 \n", + "11 : 5996 727 274 74 71 \n", + "12 : 5997 751 268 60 66 \n", + "13 : 6035 725 255 68 71 \n", + "\n", + "T : 84053 10185 3797 1039 926 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 24.5%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 6.1259e-02 sec\n", + "--- Collate = 7.0441e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.027140e-06 < 6.250000e-03 [519]\n", + "--- Max DT=4.719697e-01 > 1.000000e-01 [68425]\n", + "----------------------------------------------------------------------\n", + " Component | low: 519/100000\n", + " Component | high: 68425/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=43.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000689086 [ 0.02 %]\n", + "Velocity : 0.00254287 [ 0.06 %]\n", + "Force : 0.675863 [ 16.81 %]\n", + "Coefs : 2.57422 [ 64.03 %]\n", + "Output : 0.00156254 [ 0.04 %]\n", + "Levels : 0.000258502 [ 0.01 %]\n", + "Report : 8.44e-07 [ 0.00 %]\n", + "Balance : 3.85e-07 [ 0.00 %]\n", + "Adjust : 0.764964 [ 19.03 %]\n", + "Total : 4.02015 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5994 729 285 72 62 \n", + "1 : 5990 728 282 67 75 \n", + "2 : 5948 754 275 86 79 \n", + "3 : 6010 687 302 78 65 \n", + "4 : 6007 743 261 72 59 \n", + "5 : 6061 733 227 71 50 \n", + "6 : 5993 730 287 75 57 \n", + "7 : 5999 726 275 71 71 \n", + "8 : 6001 724 262 87 68 \n", + "9 : 6030 685 254 92 81 \n", + "10 : 5998 741 260 82 61 \n", + "11 : 5989 733 270 75 75 \n", + "12 : 5999 757 260 61 65 \n", + "13 : 6027 729 260 71 67 \n", + "\n", + "T : 84046 10199 3760 1060 935 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 26.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 5.7440e-02 sec\n", + "--- Collate = 2.4947e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.124959e-06 < 6.250000e-03 [520]\n", + "--- Max DT=4.947821e-01 > 1.000000e-01 [68402]\n", + "----------------------------------------------------------------------\n", + " Component | low: 520/100000\n", + " Component | high: 68402/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=43.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000512749 [ 0.01 %]\n", + "Velocity : 0.00286336 [ 0.07 %]\n", + "Force : 0.656149 [ 15.92 %]\n", + "Coefs : 2.61653 [ 63.48 %]\n", + "Output : 0.00144754 [ 0.04 %]\n", + "Levels : 0.000268469 [ 0.01 %]\n", + "Report : 1.156e-06 [ 0.00 %]\n", + "Balance : 3.95e-07 [ 0.00 %]\n", + "Adjust : 0.84369 [ 20.47 %]\n", + "Total : 4.12152 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6004 719 276 80 63 \n", + "1 : 5987 732 279 67 77 \n", + "2 : 5943 758 277 86 78 \n", + "3 : 6006 696 294 73 73 \n", + "4 : 6007 750 257 70 58 \n", + "5 : 6057 734 227 74 50 \n", + "6 : 5993 730 289 70 60 \n", + "7 : 5989 727 273 84 69 \n", + "8 : 6000 724 257 87 74 \n", + "9 : 6031 680 254 99 78 \n", + "10 : 5996 743 255 87 61 \n", + "11 : 5987 729 280 76 70 \n", + "12 : 5995 758 262 64 63 \n", + "13 : 6034 720 259 75 66 \n", + "\n", + "T : 84029 10200 3739 1092 940 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.0713e-02 sec\n", + "--- Collate = 7.0243e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.558314e-06 < 6.250000e-03 [533]\n", + "--- Max DT=5.208929e-01 > 1.000000e-01 [68416]\n", + "----------------------------------------------------------------------\n", + " Component | low: 533/100000\n", + " Component | high: 68416/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=43.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000578302 [ 0.02 %]\n", + "Velocity : 0.00464172 [ 0.13 %]\n", + "Force : 0.604844 [ 17.08 %]\n", + "Coefs : 2.1821 [ 61.62 %]\n", + "Output : 0.000930812 [ 0.03 %]\n", + "Levels : 0.000258075 [ 0.01 %]\n", + "Report : 6.47e-07 [ 0.00 %]\n", + "Balance : 2.67e-07 [ 0.00 %]\n", + "Adjust : 0.747905 [ 21.12 %]\n", + "Total : 3.54131 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 6003 722 270 83 64 \n", + "1 : 5988 730 282 66 76 \n", + "2 : 5943 759 277 83 80 \n", + "3 : 6000 703 292 77 70 \n", + "4 : 6011 747 258 66 60 \n", + "5 : 6054 740 229 70 49 \n", + "6 : 5992 734 285 68 63 \n", + "7 : 5982 730 277 85 68 \n", + "8 : 6008 714 261 85 74 \n", + "9 : 6028 678 254 105 77 \n", + "10 : 5999 737 255 87 64 \n", + "11 : 5980 738 275 73 76 \n", + "12 : 5991 760 260 68 63 \n", + "13 : 6026 729 259 81 59 \n", + "\n", + "T : 84005 10221 3734 1097 943 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 7.0504e-02 sec\n", + "--- Collate = 2.0915e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.398343e-06 < 6.250000e-03 [540]\n", + "--- Max DT=5.073863e-01 > 1.000000e-01 [68412]\n", + "----------------------------------------------------------------------\n", + " Component | low: 540/100000\n", + " Component | high: 68412/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=43.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00052185 [ 0.01 %]\n", + "Velocity : 0.00211944 [ 0.06 %]\n", + "Force : 0.59564 [ 16.65 %]\n", + "Coefs : 2.19692 [ 61.41 %]\n", + "Output : 0.00100737 [ 0.03 %]\n", + "Levels : 0.000211488 [ 0.01 %]\n", + "Report : 1.281e-06 [ 0.00 %]\n", + "Balance : 3.87e-07 [ 0.00 %]\n", + "Adjust : 0.781102 [ 21.83 %]\n", + "Total : 3.57759 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5997 728 270 90 57 \n", + "1 : 5988 735 269 77 73 \n", + "2 : 5946 769 264 85 78 \n", + "3 : 6003 702 288 78 71 \n", + "4 : 6013 729 266 82 52 \n", + "5 : 6055 735 229 72 51 \n", + "6 : 5986 735 290 71 60 \n", + "7 : 5985 718 288 81 70 \n", + "8 : 6008 713 270 80 71 \n", + "9 : 6022 676 264 97 83 \n", + "10 : 6003 732 261 87 59 \n", + "11 : 5984 735 272 74 77 \n", + "12 : 5990 754 266 70 62 \n", + "13 : 6021 732 264 75 62 \n", + "\n", + "T : 84001 10193 3761 1119 926 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.5780e-02 sec\n", + "--- Collate = 9.6246e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.684510e-07 < 6.250000e-03 [539]\n", + "--- Max DT=4.958254e-01 > 1.000000e-01 [68370]\n", + "----------------------------------------------------------------------\n", + " Component | low: 539/100000\n", + " Component | high: 68370/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=43.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000551935 [ 0.02 %]\n", + "Velocity : 0.00236459 [ 0.07 %]\n", + "Force : 0.601082 [ 17.55 %]\n", + "Coefs : 2.11506 [ 61.77 %]\n", + "Output : 0.00128106 [ 0.04 %]\n", + "Levels : 0.000328745 [ 0.01 %]\n", + "Report : 8.39e-07 [ 0.00 %]\n", + "Balance : 4.24e-07 [ 0.00 %]\n", + "Adjust : 0.703402 [ 20.54 %]\n", + "Total : 3.42413 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5992 733 268 84 65 \n", + "1 : 5984 748 266 68 76 \n", + "2 : 5949 773 266 86 68 \n", + "3 : 5996 720 274 72 80 \n", + "4 : 6009 736 266 78 53 \n", + "5 : 6058 733 227 69 55 \n", + "6 : 5986 734 289 69 64 \n", + "7 : 5976 724 296 75 71 \n", + "8 : 6016 714 259 84 69 \n", + "9 : 6022 667 279 88 86 \n", + "10 : 6004 724 272 85 57 \n", + "11 : 5983 729 281 72 77 \n", + "12 : 5992 751 271 65 63 \n", + "13 : 6013 746 259 74 62 \n", + "\n", + "T : 83980 10232 3773 1069 946 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.8664e-02 sec\n", + "--- Collate = 8.0540e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.624683e-06 < 6.250000e-03 [544]\n", + "--- Max DT=4.962415e-01 > 1.000000e-01 [68369]\n", + "----------------------------------------------------------------------\n", + " Component | low: 544/100000\n", + " Component | high: 68369/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=43.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000574008 [ 0.02 %]\n", + "Velocity : 0.00246388 [ 0.07 %]\n", + "Force : 0.544465 [ 15.83 %]\n", + "Coefs : 2.18973 [ 63.67 %]\n", + "Output : 0.00152021 [ 0.04 %]\n", + "Levels : 0.000276722 [ 0.01 %]\n", + "Report : 1.665e-06 [ 0.00 %]\n", + "Balance : 5.95e-07 [ 0.00 %]\n", + "Adjust : 0.699977 [ 20.35 %]\n", + "Total : 3.43906 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5980 745 267 87 63 \n", + "1 : 5986 747 265 71 73 \n", + "2 : 5940 773 265 95 69 \n", + "3 : 5988 727 276 74 77 \n", + "4 : 6008 737 267 76 54 \n", + "5 : 6048 743 226 69 56 \n", + "6 : 5995 721 293 68 65 \n", + "7 : 5976 716 301 80 69 \n", + "8 : 6016 712 258 89 67 \n", + "9 : 6020 668 288 75 91 \n", + "10 : 6006 724 269 86 57 \n", + "11 : 5973 742 275 84 68 \n", + "12 : 5994 747 271 67 63 \n", + "13 : 6009 746 259 78 62 \n", + "\n", + "T : 83939 10248 3780 1099 934 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 20.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 5.0585e-02 sec\n", + "--- Collate = 8.0977e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.634860e-07 < 6.250000e-03 [531]\n", + "--- Max DT=5.036128e-01 > 1.000000e-01 [68369]\n", + "----------------------------------------------------------------------\n", + " Component | low: 531/100000\n", + " Component | high: 68369/100000\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=44] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000614579 [ 0.03 %]\n", + "Velocity : 0.00234242 [ 0.10 %]\n", + "Force : 0.337018 [ 14.27 %]\n", + "Coefs : 1.41817 [ 60.03 %]\n", + "Output : 0.00866934 [ 0.37 %]\n", + "Levels : 0.000363492 [ 0.02 %]\n", + "Report : 1.621e-06 [ 0.00 %]\n", + "Balance : 5.12e-07 [ 0.00 %]\n", + "Adjust : 0.595285 [ 25.20 %]\n", + "Total : 2.36252 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5982 739 272 89 60 \n", + "1 : 5981 747 269 66 79 \n", + "2 : 5942 766 270 95 69 \n", + "3 : 5987 742 258 79 76 \n", + "4 : 6003 741 272 73 53 \n", + "5 : 6047 747 221 68 59 \n", + "6 : 6002 717 291 68 64 \n", + "7 : 5973 723 296 83 67 \n", + "8 : 6002 716 277 76 71 \n", + "9 : 6028 673 269 83 89 \n", + "10 : 6002 729 270 79 62 \n", + "11 : 5972 745 278 84 63 \n", + "12 : 5990 739 282 73 58 \n", + "13 : 6000 757 261 68 68 \n", + "\n", + "T : 83911 10281 3786 1084 938 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 22.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.2324e-02 sec\n", + "--- Collate = 7.0237e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.708369e-06 < 6.250000e-03 [520]\n", + "--- Max DT=5.064652e-01 > 1.000000e-01 [68363]\n", + "----------------------------------------------------------------------\n", + " Component | low: 520/100000\n", + " Component | high: 68363/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=44.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000623799 [ 0.02 %]\n", + "Velocity : 0.00378958 [ 0.11 %]\n", + "Force : 0.540377 [ 16.26 %]\n", + "Coefs : 2.02205 [ 60.83 %]\n", + "Output : 0.00160981 [ 0.05 %]\n", + "Levels : 0.000267354 [ 0.01 %]\n", + "Report : 8.15e-07 [ 0.00 %]\n", + "Balance : 3.96e-07 [ 0.00 %]\n", + "Adjust : 0.755284 [ 22.72 %]\n", + "Total : 3.32407 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5982 735 278 86 61 \n", + "1 : 5983 746 271 69 73 \n", + "2 : 5941 756 286 92 67 \n", + "3 : 5988 749 253 68 84 \n", + "4 : 5994 753 265 72 58 \n", + "5 : 6042 751 220 68 61 \n", + "6 : 5999 717 295 68 63 \n", + "7 : 5964 741 280 91 66 \n", + "8 : 5998 725 274 81 64 \n", + "9 : 6026 672 268 86 90 \n", + "10 : 5997 736 265 80 64 \n", + "11 : 5967 747 269 92 67 \n", + "12 : 5985 741 285 74 57 \n", + "13 : 6002 752 259 76 65 \n", + "\n", + "T : 83868 10321 3768 1103 940 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 30.8%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 5.3442e-02 sec\n", + "--- Collate = 5.0396e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.433809e-06 < 6.250000e-03 [529]\n", + "--- Max DT=5.328532e-01 > 1.000000e-01 [68399]\n", + "----------------------------------------------------------------------\n", + " Component | low: 529/100000\n", + " Component | high: 68399/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=44.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000930149 [ 0.03 %]\n", + "Velocity : 0.00299288 [ 0.09 %]\n", + "Force : 0.614843 [ 17.53 %]\n", + "Coefs : 2.16713 [ 61.80 %]\n", + "Output : 0.001276 [ 0.04 %]\n", + "Levels : 0.00027325 [ 0.01 %]\n", + "Report : 1.037e-06 [ 0.00 %]\n", + "Balance : 3.35e-07 [ 0.00 %]\n", + "Adjust : 0.71902 [ 20.51 %]\n", + "Total : 3.50652 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5982 735 275 89 61 \n", + "1 : 5984 753 265 70 70 \n", + "2 : 5941 754 289 86 72 \n", + "3 : 5980 751 254 70 87 \n", + "4 : 5995 756 257 76 58 \n", + "5 : 6045 745 220 71 61 \n", + "6 : 5992 713 301 76 60 \n", + "7 : 5952 760 273 88 69 \n", + "8 : 5995 731 267 87 62 \n", + "9 : 6020 678 274 78 92 \n", + "10 : 5992 744 263 77 66 \n", + "11 : 5965 747 273 94 63 \n", + "12 : 5991 733 289 73 56 \n", + "13 : 6003 753 255 78 65 \n", + "\n", + "T : 83837 10353 3755 1113 942 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 5.2471e-02 sec\n", + "--- Collate = 7.0354e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.868259e-07 < 6.250000e-03 [518]\n", + "--- Max DT=5.316184e-01 > 1.000000e-01 [68373]\n", + "----------------------------------------------------------------------\n", + " Component | low: 518/100000\n", + " Component | high: 68373/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=44.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000549837 [ 0.02 %]\n", + "Velocity : 0.00241688 [ 0.07 %]\n", + "Force : 0.586902 [ 17.85 %]\n", + "Coefs : 1.97551 [ 60.07 %]\n", + "Output : 0.00141443 [ 0.04 %]\n", + "Levels : 0.000246327 [ 0.01 %]\n", + "Report : 1.035e-06 [ 0.00 %]\n", + "Balance : 2.74e-07 [ 0.00 %]\n", + "Adjust : 0.721415 [ 21.94 %]\n", + "Total : 3.28852 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5986 722 292 83 59 \n", + "1 : 5974 763 263 68 74 \n", + "2 : 5938 747 298 89 70 \n", + "3 : 5977 746 265 78 76 \n", + "4 : 5987 766 263 62 64 \n", + "5 : 6040 746 225 78 53 \n", + "6 : 5987 713 308 72 62 \n", + "7 : 5947 765 271 87 72 \n", + "8 : 5999 722 270 84 67 \n", + "9 : 6009 688 282 83 80 \n", + "10 : 5989 742 263 82 66 \n", + "11 : 5965 744 290 83 60 \n", + "12 : 5993 726 297 69 57 \n", + "13 : 6006 752 263 67 66 \n", + "\n", + "T : 83797 10342 3850 1085 926 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 4.6432e-02 sec\n", + "--- Collate = 1.4021e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.470220e-06 < 6.250000e-03 [494]\n", + "--- Max DT=5.343145e-01 > 1.000000e-01 [68352]\n", + "----------------------------------------------------------------------\n", + " Component | low: 494/100000\n", + " Component | high: 68352/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=44.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000451025 [ 0.01 %]\n", + "Velocity : 0.00221795 [ 0.06 %]\n", + "Force : 0.673065 [ 18.81 %]\n", + "Coefs : 2.09879 [ 58.66 %]\n", + "Output : 0.00126038 [ 0.04 %]\n", + "Levels : 0.000245443 [ 0.01 %]\n", + "Report : 9.84e-07 [ 0.00 %]\n", + "Balance : 2.58e-07 [ 0.00 %]\n", + "Adjust : 0.80172 [ 22.41 %]\n", + "Total : 3.57781 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5984 727 287 80 64 \n", + "1 : 5969 764 265 73 71 \n", + "2 : 5935 746 297 99 65 \n", + "3 : 5971 747 271 73 80 \n", + "4 : 5985 761 268 59 69 \n", + "5 : 6038 749 233 70 52 \n", + "6 : 5981 720 307 74 60 \n", + "7 : 5945 765 278 79 75 \n", + "8 : 6004 711 273 90 64 \n", + "9 : 6011 690 273 89 79 \n", + "10 : 5983 747 264 80 68 \n", + "11 : 5963 738 296 86 59 \n", + "12 : 5987 736 294 69 56 \n", + "13 : 6001 755 268 66 64 \n", + "\n", + "T : 83757 10356 3874 1087 926 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 34.1%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 6.9513e-02 sec\n", + "--- Collate = 2.6768e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.361952e-05 < 6.250000e-03 [481]\n", + "--- Max DT=5.453449e-01 > 1.000000e-01 [68353]\n", + "----------------------------------------------------------------------\n", + " Component | low: 481/100000\n", + " Component | high: 68353/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=44.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000944166 [ 0.03 %]\n", + "Velocity : 0.00266626 [ 0.07 %]\n", + "Force : 0.653886 [ 17.48 %]\n", + "Coefs : 2.32669 [ 62.19 %]\n", + "Output : 0.00114807 [ 0.03 %]\n", + "Levels : 0.000220597 [ 0.01 %]\n", + "Report : 7.76e-07 [ 0.00 %]\n", + "Balance : 3.75e-07 [ 0.00 %]\n", + "Adjust : 0.755766 [ 20.20 %]\n", + "Total : 3.74138 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5987 723 284 86 62 \n", + "1 : 5972 756 267 78 69 \n", + "2 : 5929 759 295 92 67 \n", + "3 : 5971 749 270 82 70 \n", + "4 : 5981 763 271 59 68 \n", + "5 : 6035 743 242 69 53 \n", + "6 : 5973 729 302 76 62 \n", + "7 : 5937 767 280 79 79 \n", + "8 : 5996 719 273 93 61 \n", + "9 : 6004 693 281 83 81 \n", + "10 : 5994 726 277 85 60 \n", + "11 : 5960 736 310 83 53 \n", + "12 : 5989 738 285 74 56 \n", + "13 : 5999 759 269 68 59 \n", + "\n", + "T : 83727 10360 3906 1107 900 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 5.1109e-02 sec\n", + "--- Collate = 4.0452e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.097143e-05 < 6.250000e-03 [471]\n", + "--- Max DT=5.954353e-01 > 1.000000e-01 [68330]\n", + "----------------------------------------------------------------------\n", + " Component | low: 471/100000\n", + " Component | high: 68330/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=44.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000882117 [ 0.02 %]\n", + "Velocity : 0.00272739 [ 0.07 %]\n", + "Force : 0.610334 [ 16.34 %]\n", + "Coefs : 2.31147 [ 61.88 %]\n", + "Output : 0.00106666 [ 0.03 %]\n", + "Levels : 0.000302208 [ 0.01 %]\n", + "Report : 6.76e-07 [ 0.00 %]\n", + "Balance : 4.22e-07 [ 0.00 %]\n", + "Adjust : 0.808792 [ 21.65 %]\n", + "Total : 3.73564 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5985 727 286 82 62 \n", + "1 : 5966 752 271 89 64 \n", + "2 : 5934 760 290 93 65 \n", + "3 : 5966 750 280 77 69 \n", + "4 : 5979 766 267 61 69 \n", + "5 : 6030 747 247 66 52 \n", + "6 : 5969 734 303 76 60 \n", + "7 : 5948 758 275 85 76 \n", + "8 : 5992 721 280 87 62 \n", + "9 : 6006 693 277 86 80 \n", + "10 : 5985 728 289 74 66 \n", + "11 : 5954 751 301 83 53 \n", + "12 : 5986 746 284 71 55 \n", + "13 : 5992 759 277 69 57 \n", + "\n", + "T : 83692 10392 3927 1099 890 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 4.9494e-02 sec\n", + "--- Collate = 2.8686e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.890861e-05 < 6.250000e-03 [469]\n", + "--- Max DT=5.987366e-01 > 1.000000e-01 [68367]\n", + "----------------------------------------------------------------------\n", + " Component | low: 469/100000\n", + " Component | high: 68367/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=44.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000577331 [ 0.01 %]\n", + "Velocity : 0.00209213 [ 0.05 %]\n", + "Force : 0.611441 [ 15.37 %]\n", + "Coefs : 2.53649 [ 63.76 %]\n", + "Output : 0.000992139 [ 0.02 %]\n", + "Levels : 0.000194428 [ 0.00 %]\n", + "Report : 6.77e-07 [ 0.00 %]\n", + "Balance : 3.07e-07 [ 0.00 %]\n", + "Adjust : 0.826499 [ 20.77 %]\n", + "Total : 3.97835 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5982 723 296 85 56 \n", + "1 : 5967 755 269 86 65 \n", + "2 : 5928 765 305 74 70 \n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3 : 5971 745 285 72 69 \n", + "4 : 5980 759 271 64 68 \n", + "5 : 6025 753 239 74 51 \n", + "6 : 5974 730 300 82 56 \n", + "7 : 5950 751 287 85 69 \n", + "8 : 5992 719 288 83 60 \n", + "9 : 6001 703 272 87 79 \n", + "10 : 5983 729 288 75 67 \n", + "11 : 5960 738 306 85 53 \n", + "12 : 5984 747 286 69 56 \n", + "13 : 5993 756 274 79 52 \n", + "\n", + "T : 83690 10373 3966 1100 871 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 5.0449e-02 sec\n", + "--- Collate = 6.0599e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.818332e-06 < 6.250000e-03 [474]\n", + "--- Max DT=5.939693e-01 > 1.000000e-01 [68365]\n", + "----------------------------------------------------------------------\n", + " Component | low: 474/100000\n", + " Component | high: 68365/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=44.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000534905 [ 0.01 %]\n", + "Velocity : 0.00227016 [ 0.06 %]\n", + "Force : 0.594215 [ 16.39 %]\n", + "Coefs : 2.26665 [ 62.50 %]\n", + "Output : 0.00105933 [ 0.03 %]\n", + "Levels : 0.000244803 [ 0.01 %]\n", + "Report : 5.12e-07 [ 0.00 %]\n", + "Balance : 2.82e-07 [ 0.00 %]\n", + "Adjust : 0.76133 [ 20.99 %]\n", + "Total : 3.62637 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5984 721 300 80 57 \n", + "1 : 5962 760 271 81 68 \n", + "2 : 5929 770 293 81 69 \n", + "3 : 5964 756 285 67 70 \n", + "4 : 5976 758 268 72 68 \n", + "5 : 6030 748 239 75 50 \n", + "6 : 5978 728 293 86 57 \n", + "7 : 5944 752 290 78 78 \n", + "8 : 6000 709 290 80 63 \n", + "9 : 5993 702 281 97 69 \n", + "10 : 5982 734 283 78 65 \n", + "11 : 5956 742 311 75 58 \n", + "12 : 5982 745 292 72 51 \n", + "13 : 5986 760 279 83 46 \n", + "\n", + "T : 83666 10385 3975 1105 869 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 6.7297e-02 sec\n", + "--- Collate = 7.0770e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.011920e-07 < 6.250000e-03 [481]\n", + "--- Max DT=5.749670e-01 > 1.000000e-01 [68370]\n", + "----------------------------------------------------------------------\n", + " Component | low: 481/100000\n", + " Component | high: 68370/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=44.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000889451 [ 0.03 %]\n", + "Velocity : 0.0025958 [ 0.08 %]\n", + "Force : 0.564778 [ 17.69 %]\n", + "Coefs : 1.93503 [ 60.60 %]\n", + "Output : 0.00132342 [ 0.04 %]\n", + "Levels : 0.000268067 [ 0.01 %]\n", + "Report : 1.099e-06 [ 0.00 %]\n", + "Balance : 3.01e-07 [ 0.00 %]\n", + "Adjust : 0.688262 [ 21.55 %]\n", + "Total : 3.1932 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5986 723 295 79 59 \n", + "1 : 5965 750 276 91 60 \n", + "2 : 5928 772 298 78 66 \n", + "3 : 5959 755 290 70 68 \n", + "4 : 5978 759 266 73 66 \n", + "5 : 6025 752 243 74 48 \n", + "6 : 5976 731 296 78 61 \n", + "7 : 5941 752 288 79 82 \n", + "8 : 5995 714 290 85 58 \n", + "9 : 5987 708 281 95 71 \n", + "10 : 5989 732 282 77 62 \n", + "11 : 5961 743 308 66 64 \n", + "12 : 5978 744 293 80 47 \n", + "13 : 5987 763 277 77 50 \n", + "\n", + "T : 83655 10398 3983 1102 862 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.0561e-02 sec\n", + "--- Collate = 2.9999e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.804584e-06 < 6.250000e-03 [467]\n", + "--- Max DT=5.632952e-01 > 1.000000e-01 [68379]\n", + "----------------------------------------------------------------------\n", + " Component | low: 467/100000\n", + " Component | high: 68379/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=45] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000501432 [ 0.01 %]\n", + "Velocity : 0.00211874 [ 0.06 %]\n", + "Force : 0.606693 [ 17.20 %]\n", + "Coefs : 2.18787 [ 62.04 %]\n", + "Output : 0.00736944 [ 0.21 %]\n", + "Levels : 0.000280194 [ 0.01 %]\n", + "Report : 1.733e-06 [ 0.00 %]\n", + "Balance : 5.79e-07 [ 0.00 %]\n", + "Adjust : 0.721438 [ 20.46 %]\n", + "Total : 3.52633 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5980 722 305 79 56 \n", + "1 : 5965 752 283 81 61 \n", + "2 : 5925 771 307 71 68 \n", + "3 : 5958 750 301 73 60 \n", + "4 : 5968 768 270 74 62 \n", + "5 : 6020 753 251 76 42 \n", + "6 : 5976 736 286 79 65 \n", + "7 : 5939 761 279 85 78 \n", + "8 : 5996 708 295 90 53 \n", + "9 : 5977 718 288 86 73 \n", + "10 : 5987 727 288 82 58 \n", + "11 : 5963 751 299 66 63 \n", + "12 : 5976 747 292 78 49 \n", + "13 : 5996 758 275 76 49 \n", + "\n", + "T : 83626 10422 4019 1096 837 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 5.5224e-02 sec\n", + "--- Collate = 4.0583e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.345862e-05 < 6.250000e-03 [486]\n", + "--- Max DT=5.616639e-01 > 1.000000e-01 [68370]\n", + "----------------------------------------------------------------------\n", + " Component | low: 486/100000\n", + " Component | high: 68370/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=45.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000505944 [ 0.02 %]\n", + "Velocity : 0.00259401 [ 0.08 %]\n", + "Force : 0.527352 [ 16.99 %]\n", + "Coefs : 1.89113 [ 60.93 %]\n", + "Output : 0.00122213 [ 0.04 %]\n", + "Levels : 0.000364739 [ 0.01 %]\n", + "Report : 1.412e-06 [ 0.00 %]\n", + "Balance : 5.85e-07 [ 0.00 %]\n", + "Adjust : 0.680782 [ 21.93 %]\n", + "Total : 3.10401 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5977 729 302 74 60 \n", + "1 : 5964 754 285 79 60 \n", + "2 : 5926 782 297 62 75 \n", + "3 : 5961 743 304 79 55 \n", + "4 : 5963 769 279 73 58 \n", + "5 : 6014 757 254 72 45 \n", + "6 : 5967 750 279 76 70 \n", + "7 : 5935 765 281 87 74 \n", + "8 : 5993 721 281 96 51 \n", + "9 : 5982 711 288 92 69 \n", + "10 : 5995 713 285 90 59 \n", + "11 : 5955 768 289 65 65 \n", + "12 : 5975 745 294 74 54 \n", + "13 : 5992 755 283 78 46 \n", + "\n", + "T : 83599 10462 4001 1097 841 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.3378e-02 sec\n", + "--- Collate = 6.0269e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.404573e-07 < 6.250000e-03 [480]\n", + "--- Max DT=5.698346e-01 > 1.000000e-01 [68371]\n", + "----------------------------------------------------------------------\n", + " Component | low: 480/100000\n", + " Component | high: 68371/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=45.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000614809 [ 0.02 %]\n", + "Velocity : 0.00606032 [ 0.17 %]\n", + "Force : 0.600975 [ 16.72 %]\n", + "Coefs : 2.25174 [ 62.66 %]\n", + "Output : 0.00170166 [ 0.05 %]\n", + "Levels : 0.000255446 [ 0.01 %]\n", + "Report : 6.04e-07 [ 0.00 %]\n", + "Balance : 2.94e-07 [ 0.00 %]\n", + "Adjust : 0.732422 [ 20.38 %]\n", + "Total : 3.59383 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5976 725 311 69 61 \n", + "1 : 5955 761 285 84 57 \n", + "2 : 5931 771 304 60 76 \n", + "3 : 5957 744 319 62 60 \n", + "4 : 5962 772 272 71 65 \n", + "5 : 6016 753 258 71 44 \n", + "6 : 5963 754 287 65 73 \n", + "7 : 5929 769 283 84 77 \n", + "8 : 5997 716 282 98 49 \n", + "9 : 5980 708 300 93 61 \n", + "10 : 5996 712 282 94 58 \n", + "11 : 5957 770 285 64 66 \n", + "12 : 5967 754 300 59 62 \n", + "13 : 5995 757 279 79 44 \n", + "\n", + "T : 83581 10466 4047 1053 853 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 5.4096e-02 sec\n", + "--- Collate = 6.0290e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.982618e-06 < 6.250000e-03 [476]\n", + "--- Max DT=5.691032e-01 > 1.000000e-01 [68359]\n", + "----------------------------------------------------------------------\n", + " Component | low: 476/100000\n", + " Component | high: 68359/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=45.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000811587 [ 0.02 %]\n", + "Velocity : 0.00304774 [ 0.08 %]\n", + "Force : 0.679244 [ 18.78 %]\n", + "Coefs : 2.17858 [ 60.24 %]\n", + "Output : 0.00151728 [ 0.04 %]\n", + "Levels : 0.000280663 [ 0.01 %]\n", + "Report : 6.25e-07 [ 0.00 %]\n", + "Balance : 2.63e-07 [ 0.00 %]\n", + "Adjust : 0.752816 [ 20.82 %]\n", + "Total : 3.61636 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5971 728 311 70 62 \n", + "1 : 5949 768 282 87 56 \n", + "2 : 5925 775 309 64 69 \n", + "3 : 5964 749 308 57 64 \n", + "4 : 5961 769 274 69 69 \n", + "5 : 6017 749 266 67 43 \n", + "6 : 5968 749 285 70 70 \n", + "7 : 5933 763 290 85 71 \n", + "8 : 5986 730 281 96 49 \n", + "9 : 5988 702 303 86 63 \n", + "10 : 5987 719 283 90 63 \n", + "11 : 5955 778 278 67 64 \n", + "12 : 5968 745 301 68 60 \n", + "13 : 5986 766 279 75 48 \n", + "\n", + "T : 83558 10490 4050 1051 851 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 6.3350e-02 sec\n", + "--- Collate = 9.0434e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.873689e-06 < 6.250000e-03 [495]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "--- Max DT=5.756066e-01 > 1.000000e-01 [68323]\n", + "----------------------------------------------------------------------\n", + " Component | low: 495/100000\n", + " Component | high: 68323/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=45.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00130953 [ 0.03 %]\n", + "Velocity : 0.00316991 [ 0.08 %]\n", + "Force : 0.738497 [ 19.72 %]\n", + "Coefs : 2.31882 [ 61.93 %]\n", + "Output : 0.00161327 [ 0.04 %]\n", + "Levels : 0.000255168 [ 0.01 %]\n", + "Report : 4.78e-07 [ 0.00 %]\n", + "Balance : 3.02e-07 [ 0.00 %]\n", + "Adjust : 0.680714 [ 18.18 %]\n", + "Total : 3.74445 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5974 732 307 72 57 \n", + "1 : 5942 770 285 83 62 \n", + "2 : 5924 768 314 68 68 \n", + "3 : 5964 754 305 55 64 \n", + "4 : 5958 768 279 72 65 \n", + "5 : 6013 747 270 68 44 \n", + "6 : 5972 743 298 62 67 \n", + "7 : 5931 758 304 71 78 \n", + "8 : 5981 738 280 88 55 \n", + "9 : 5982 711 300 87 62 \n", + "10 : 5990 716 278 89 69 \n", + "11 : 5941 791 281 65 64 \n", + "12 : 5965 752 297 66 62 \n", + "13 : 5985 766 282 73 48 \n", + "\n", + "T : 83522 10514 4080 1019 865 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 6.1008e-02 sec\n", + "--- Collate = 6.0311e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.918248e-05 < 6.250000e-03 [503]\n", + "--- Max DT=6.092873e-01 > 1.000000e-01 [68290]\n", + "----------------------------------------------------------------------\n", + " Component | low: 503/100000\n", + " Component | high: 68290/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=45.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000942459 [ 0.03 %]\n", + "Velocity : 0.00332321 [ 0.10 %]\n", + "Force : 0.564468 [ 16.59 %]\n", + "Coefs : 2.05296 [ 60.33 %]\n", + "Output : 0.00161739 [ 0.05 %]\n", + "Levels : 0.00034518 [ 0.01 %]\n", + "Report : 6.24e-07 [ 0.00 %]\n", + "Balance : 3.75e-07 [ 0.00 %]\n", + "Adjust : 0.778971 [ 22.89 %]\n", + "Total : 3.40268 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5974 730 301 80 57 \n", + "1 : 5940 779 280 80 63 \n", + "2 : 5918 770 318 72 64 \n", + "3 : 5962 763 291 60 66 \n", + "4 : 5953 768 291 68 62 \n", + "5 : 6012 749 271 64 46 \n", + "6 : 5974 738 297 70 63 \n", + "7 : 5916 763 308 82 73 \n", + "8 : 5981 736 286 89 50 \n", + "9 : 5973 723 297 86 63 \n", + "10 : 5982 724 280 82 74 \n", + "11 : 5936 792 277 73 64 \n", + "12 : 5974 745 296 66 61 \n", + "13 : 5979 767 288 69 51 \n", + "\n", + "T : 83474 10547 4081 1041 857 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 6.4104e-02 sec\n", + "--- Collate = 7.0271e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.392961e-06 < 6.250000e-03 [498]\n", + "--- Max DT=5.956164e-01 > 1.000000e-01 [68281]\n", + "----------------------------------------------------------------------\n", + " Component | low: 498/100000\n", + " Component | high: 68281/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=45.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00494148 [ 0.15 %]\n", + "Velocity : 0.00343353 [ 0.10 %]\n", + "Force : 0.52807 [ 15.69 %]\n", + "Coefs : 2.09339 [ 62.20 %]\n", + "Output : 0.00162723 [ 0.05 %]\n", + "Levels : 0.00028182 [ 0.01 %]\n", + "Report : 6.1e-07 [ 0.00 %]\n", + "Balance : 3.02e-07 [ 0.00 %]\n", + "Adjust : 0.733538 [ 21.80 %]\n", + "Total : 3.36534 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5968 735 299 78 62 \n", + "1 : 5946 775 274 76 71 \n", + "2 : 5909 779 312 81 61 \n", + "3 : 5959 761 295 68 59 \n", + "4 : 5947 775 291 68 61 \n", + "5 : 6011 749 270 63 49 \n", + "6 : 5972 745 289 72 64 \n", + "7 : 5909 773 300 88 72 \n", + "8 : 5975 736 300 73 58 \n", + "9 : 5974 723 301 86 58 \n", + "10 : 5978 726 277 85 76 \n", + "11 : 5942 783 277 71 69 \n", + "12 : 5971 750 301 57 63 \n", + "13 : 5968 770 293 75 48 \n", + "\n", + "T : 83429 10580 4079 1041 871 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 5.6153e-02 sec\n", + "--- Collate = 1.0046e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.968892e-07 < 6.250000e-03 [482]\n", + "--- Max DT=6.068744e-01 > 1.000000e-01 [68247]\n", + "----------------------------------------------------------------------\n", + " Component | low: 482/100000\n", + " Component | high: 68247/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=45.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000829069 [ 0.02 %]\n", + "Velocity : 0.00313677 [ 0.08 %]\n", + "Force : 0.762524 [ 19.74 %]\n", + "Coefs : 2.31783 [ 60.00 %]\n", + "Output : 0.00162249 [ 0.04 %]\n", + "Levels : 0.000263155 [ 0.01 %]\n", + "Report : 1.436e-06 [ 0.00 %]\n", + "Balance : 2.75e-07 [ 0.00 %]\n", + "Adjust : 0.776859 [ 20.11 %]\n", + "Total : 3.86313 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5966 740 300 73 63 \n", + "1 : 5942 774 277 73 76 \n", + "2 : 5914 768 312 82 66 \n", + "3 : 5960 764 287 67 64 \n", + "4 : 5950 772 294 65 61 \n", + "5 : 6010 744 280 56 52 \n", + "6 : 5975 741 289 78 59 \n", + "7 : 5913 774 300 83 72 \n", + "8 : 5972 742 297 69 62 \n", + "9 : 5967 734 296 84 61 \n", + "10 : 5976 732 269 96 69 \n", + "11 : 5937 792 273 73 67 \n", + "12 : 5968 747 303 64 60 \n", + "13 : 5976 754 301 77 46 \n", + "\n", + "T : 83426 10578 4078 1040 878 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 4.5270e-02 sec\n", + "--- Collate = 1.0579e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.029682e-05 < 6.250000e-03 [491]\n", + "--- Max DT=6.304129e-01 > 1.000000e-01 [68247]\n", + "----------------------------------------------------------------------\n", + " Component | low: 491/100000\n", + " Component | high: 68247/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=45.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00498219 [ 0.16 %]\n", + "Velocity : 0.0102965 [ 0.33 %]\n", + "Force : 0.583117 [ 18.50 %]\n", + "Coefs : 1.92312 [ 61.00 %]\n", + "Output : 0.00142831 [ 0.05 %]\n", + "Levels : 0.00030697 [ 0.01 %]\n", + "Report : 1.024e-06 [ 0.00 %]\n", + "Balance : 3.8e-07 [ 0.00 %]\n", + "Adjust : 0.629225 [ 19.96 %]\n", + "Total : 3.15254 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5963 746 294 81 58 \n", + "1 : 5940 778 275 74 75 \n", + "2 : 5913 771 315 82 61 \n", + "3 : 5962 765 285 63 67 \n", + "4 : 5946 765 302 71 58 \n", + "5 : 6009 741 278 59 55 \n", + "6 : 5974 742 286 77 63 \n", + "7 : 5901 781 303 76 81 \n", + "8 : 5975 735 296 73 63 \n", + "9 : 5965 739 291 85 62 \n", + "10 : 5974 732 273 91 72 \n", + "11 : 5930 792 275 72 73 \n", + "12 : 5966 757 294 70 55 \n", + "13 : 5981 755 291 79 48 \n", + "\n", + "T : 83399 10599 4058 1053 891 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.3369e-02 sec\n", + "--- Collate = 1.2026e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.629605e-06 < 6.250000e-03 [508]\n", + "--- Max DT=6.095182e-01 > 1.000000e-01 [68232]\n", + "----------------------------------------------------------------------\n", + " Component | low: 508/100000\n", + " Component | high: 68232/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=45.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0046296 [ 0.16 %]\n", + "Velocity : 0.003137 [ 0.11 %]\n", + "Force : 0.473009 [ 16.39 %]\n", + "Coefs : 1.79212 [ 62.08 %]\n", + "Output : 0.00164866 [ 0.06 %]\n", + "Levels : 0.000347375 [ 0.01 %]\n", + "Report : 1.13e-06 [ 0.00 %]\n", + "Balance : 2.73e-07 [ 0.00 %]\n", + "Adjust : 0.61187 [ 21.20 %]\n", + "Total : 2.88682 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5959 751 298 78 56 \n", + "1 : 5932 780 275 76 79 \n", + "2 : 5912 770 319 78 63 \n", + "3 : 5960 762 286 70 64 \n", + "4 : 5933 775 304 69 61 \n", + "5 : 6005 741 282 58 56 \n", + "6 : 5967 750 285 81 59 \n", + "7 : 5905 775 300 89 73 \n", + "8 : 5974 734 299 72 63 \n", + "9 : 5966 743 292 77 64 \n", + "10 : 5958 744 280 87 73 \n", + "11 : 5928 791 267 80 76 \n", + "12 : 5964 759 296 68 55 \n", + "13 : 5983 750 304 73 44 \n", + "\n", + "T : 83346 10625 4087 1056 886 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 9.1002e-02 sec\n", + "--- Collate = 1.2025e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.214094e-05 < 6.250000e-03 [502]\n", + "--- Max DT=6.244556e-01 > 1.000000e-01 [68215]\n", + "----------------------------------------------------------------------\n", + " Component | low: 502/100000\n", + " Component | high: 68215/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=46] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000816106 [ 0.02 %]\n", + "Velocity : 0.00330545 [ 0.09 %]\n", + "Force : 0.61609 [ 16.52 %]\n", + "Coefs : 2.22652 [ 59.69 %]\n", + "Output : 0.010553 [ 0.28 %]\n", + "Levels : 0.000224536 [ 0.01 %]\n", + "Report : 1.163e-06 [ 0.00 %]\n", + "Balance : 6.21e-07 [ 0.00 %]\n", + "Adjust : 0.872404 [ 23.39 %]\n", + "Total : 3.72997 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5952 758 288 90 54 \n", + "1 : 5932 774 279 80 77 \n", + "2 : 5909 778 308 86 61 \n", + "3 : 5949 765 288 81 59 \n", + "4 : 5924 790 293 75 60 \n", + "5 : 5995 762 271 54 60 \n", + "6 : 5969 744 284 82 63 \n", + "7 : 5903 778 303 92 66 \n", + "8 : 5975 739 293 70 65 \n", + "9 : 5967 745 286 80 64 \n", + "10 : 5957 749 273 86 77 \n", + "11 : 5934 778 274 81 75 \n", + "12 : 5970 753 292 69 58 \n", + "13 : 5982 756 291 79 46 \n", + "\n", + "T : 83318 10669 4023 1105 885 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 6.4302e-02 sec\n", + "--- Collate = 5.0263e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.907373e-06 < 6.250000e-03 [492]\n", + "--- Max DT=5.864744e-01 > 1.000000e-01 [68178]\n", + "----------------------------------------------------------------------\n", + " Component | low: 492/100000\n", + " Component | high: 68178/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=46.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000500311 [ 0.01 %]\n", + "Velocity : 0.00656444 [ 0.18 %]\n", + "Force : 0.624934 [ 16.73 %]\n", + "Coefs : 2.34889 [ 62.90 %]\n", + "Output : 0.00105846 [ 0.03 %]\n", + "Levels : 0.000209635 [ 0.01 %]\n", + "Report : 1.128e-06 [ 0.00 %]\n", + "Balance : 5.54e-07 [ 0.00 %]\n", + "Adjust : 0.752201 [ 20.14 %]\n", + "Total : 3.73442 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5948 763 290 84 57 \n", + "1 : 5934 775 276 79 78 \n", + "2 : 5902 790 304 86 60 \n", + "3 : 5952 758 289 83 60 \n", + "4 : 5929 789 293 69 62 \n", + "5 : 5992 767 268 57 58 \n", + "6 : 5966 739 294 79 64 \n", + "7 : 5895 790 298 95 64 \n", + "8 : 5971 742 293 69 67 \n", + "9 : 5962 747 289 83 61 \n", + "10 : 5952 759 270 93 68 \n", + "11 : 5936 771 278 81 76 \n", + "12 : 5964 764 280 78 56 \n", + "13 : 5985 747 292 81 49 \n", + "\n", + "T : 83288 10701 4014 1117 880 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 16.5%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 5.4515e-02 sec\n", + "--- Collate = 9.0671e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.668218e-05 < 6.250000e-03 [506]\n", + "--- Max DT=5.843409e-01 > 1.000000e-01 [68167]\n", + "----------------------------------------------------------------------\n", + " Component | low: 506/100000\n", + " Component | high: 68167/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=46.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00071167 [ 0.02 %]\n", + "Velocity : 0.0022292 [ 0.07 %]\n", + "Force : 0.564837 [ 16.60 %]\n", + "Coefs : 2.14446 [ 63.01 %]\n", + "Output : 0.00102205 [ 0.03 %]\n", + "Levels : 0.000215769 [ 0.01 %]\n", + "Report : 7e-07 [ 0.00 %]\n", + "Balance : 3.16e-07 [ 0.00 %]\n", + "Adjust : 0.690069 [ 20.27 %]\n", + "Total : 3.4036 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5950 761 290 81 60 \n", + "1 : 5926 790 273 77 76 \n", + "2 : 5906 786 306 84 60 \n", + "3 : 5948 765 290 86 53 \n", + "4 : 5928 791 289 68 66 \n", + "5 : 5992 768 263 64 55 \n", + "6 : 5960 747 293 78 64 \n", + "7 : 5895 787 302 99 59 \n", + "8 : 5969 748 286 71 68 \n", + "9 : 5959 760 274 88 61 \n", + "10 : 5948 774 253 100 67 \n", + "11 : 5930 771 286 80 75 \n", + "12 : 5963 769 276 83 51 \n", + "13 : 5989 741 294 76 54 \n", + "\n", + "T : 83263 10758 3975 1135 869 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info in comp, mlevel=2--------------------------------------\n", + "----------------------------------------------------------------------\n", + " COM: 2.933180e-04\n", + " Position: 2.240333e+01\n", + " --------------------------------------------------\n", + " *** fix pos : 1.137783e+01 \n", + " --------------------------------------------------\n", + " Ang mom: 3.396204e+00\n", + " Zero: 1.209853e-01\n", + " Accel: 3.283907e+00\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " Interaction: 3.866530e-04\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " External: 7.490580e-04\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " Expand: 1.851850e+02\n", + " Force: 3.408773e+00\n", + " Elapsed: 3.001313e+02\n", + "----------------------------------------------------------------------\n", + "\n", + "mstep/Mstep=12/16\n", + "0 |86 1 |87 2 |174 3 |347 4 |694 \n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 3.3676e-02 sec\n", + "--- Collate = 2.0366e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.279625e-06 < 6.250000e-03 [507]\n", + "--- Max DT=6.350614e-01 > 1.000000e-01 [68147]\n", + "----------------------------------------------------------------------\n", + " Component | low: 507/100000\n", + " Component | high: 68147/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=46.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000611301 [ 0.02 %]\n", + "Velocity : 0.00171966 [ 0.05 %]\n", + "Force : 0.596892 [ 18.79 %]\n", + "Coefs : 1.96723 [ 61.92 %]\n", + "Output : 0.000760515 [ 0.02 %]\n", + "Levels : 0.000170474 [ 0.01 %]\n", + "Report : 4.11e-07 [ 0.00 %]\n", + "Balance : 1.13e-07 [ 0.00 %]\n", + "Adjust : 0.609815 [ 19.19 %]\n", + "Total : 3.17723 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5952 754 297 79 60 \n", + "1 : 5935 774 280 80 73 \n", + "2 : 5908 786 298 84 66 \n", + "3 : 5955 759 290 80 58 \n", + "4 : 5918 799 285 74 66 \n", + "5 : 5988 773 256 66 59 \n", + "6 : 5964 742 293 78 65 \n", + "7 : 5887 790 305 94 66 \n", + "8 : 5957 755 284 81 65 \n", + "9 : 5957 769 271 79 66 \n", + "10 : 5939 783 253 95 72 \n", + "11 : 5936 767 282 84 73 \n", + "12 : 5954 774 288 74 52 \n", + "13 : 5984 743 293 81 53 \n", + "\n", + "T : 83234 10768 3975 1129 894 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.2787e-02 sec\n", + "--- Collate = 2.0117e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.538307e-06 < 6.250000e-03 [508]\n", + "--- Max DT=6.817708e-01 > 1.000000e-01 [68131]\n", + "----------------------------------------------------------------------\n", + " Component | low: 508/100000\n", + " Component | high: 68131/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=46.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000382639 [ 0.01 %]\n", + "Velocity : 0.00131353 [ 0.04 %]\n", + "Force : 0.512972 [ 15.17 %]\n", + "Coefs : 2.15617 [ 63.76 %]\n", + "Output : 0.000701292 [ 0.02 %]\n", + "Levels : 0.000124778 [ 0.00 %]\n", + "Report : 6.06e-07 [ 0.00 %]\n", + "Balance : 2.71e-07 [ 0.00 %]\n", + "Adjust : 0.710004 [ 21.00 %]\n", + "Total : 3.3817 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5941 763 297 81 60 \n", + "1 : 5930 777 284 78 73 \n", + "2 : 5909 786 298 82 67 \n", + "3 : 5947 762 288 87 58 \n", + "4 : 5913 811 281 74 63 \n", + "5 : 5988 770 258 68 58 \n", + "6 : 5964 748 290 71 69 \n", + "7 : 5881 805 297 93 66 \n", + "8 : 5959 759 272 87 65 \n", + "9 : 5951 769 272 83 67 \n", + "10 : 5942 778 256 91 75 \n", + "11 : 5921 788 268 92 73 \n", + "12 : 5940 788 291 66 57 \n", + "13 : 5979 747 296 78 54 \n", + "\n", + "T : 83165 10851 3948 1131 905 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 2.8513e-02 sec\n", + "--- Collate = 7.0121e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.288790e-06 < 6.250000e-03 [506]\n", + "--- Max DT=7.086807e-01 > 1.000000e-01 [68146]\n", + "----------------------------------------------------------------------\n", + " Component | low: 506/100000\n", + " Component | high: 68146/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=46.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000196068 [ 0.01 %]\n", + "Velocity : 0.000938129 [ 0.04 %]\n", + "Force : 0.412166 [ 15.58 %]\n", + "Coefs : 1.70524 [ 64.47 %]\n", + "Output : 0.000660779 [ 0.02 %]\n", + "Levels : 0.000133862 [ 0.01 %]\n", + "Report : 5.65e-07 [ 0.00 %]\n", + "Balance : 1.93e-07 [ 0.00 %]\n", + "Adjust : 0.525471 [ 19.87 %]\n", + "Total : 2.64483 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5940 758 292 89 63 \n", + "1 : 5925 771 295 82 69 \n", + "2 : 5907 792 294 82 67 \n", + "3 : 5946 761 288 87 60 \n", + "4 : 5915 800 290 78 59 \n", + "5 : 5982 777 259 68 56 \n", + "6 : 5962 752 287 71 70 \n", + "7 : 5882 797 312 87 64 \n", + "8 : 5959 753 274 93 63 \n", + "9 : 5956 765 266 83 72 \n", + "10 : 5937 783 249 91 82 \n", + "11 : 5905 804 268 89 76 \n", + "12 : 5936 790 292 63 61 \n", + "13 : 5974 753 291 81 55 \n", + "\n", + "T : 83126 10856 3957 1144 917 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.8787e-02 sec\n", + "--- Collate = 1.0014e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.055256e-06 < 6.250000e-03 [528]\n", + "--- Max DT=6.848711e-01 > 1.000000e-01 [68126]\n", + "----------------------------------------------------------------------\n", + " Component | low: 528/100000\n", + " Component | high: 68126/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=46.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000220281 [ 0.01 %]\n", + "Velocity : 0.00104021 [ 0.03 %]\n", + "Force : 0.480698 [ 15.63 %]\n", + "Coefs : 1.96058 [ 63.76 %]\n", + "Output : 0.00083143 [ 0.03 %]\n", + "Levels : 0.000149398 [ 0.00 %]\n", + "Report : 4.59e-07 [ 0.00 %]\n", + "Balance : 1.61e-07 [ 0.00 %]\n", + "Adjust : 0.631294 [ 20.53 %]\n", + "Total : 3.07485 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5937 758 289 93 65 \n", + "1 : 5920 776 292 91 63 \n", + "2 : 5900 801 287 86 68 \n", + "3 : 5949 757 288 89 59 \n", + "4 : 5913 807 282 80 60 \n", + "5 : 5969 797 248 73 55 \n", + "6 : 5963 749 287 73 70 \n", + "7 : 5881 804 306 84 67 \n", + "8 : 5957 761 273 84 67 \n", + "9 : 5955 771 263 82 71 \n", + "10 : 5930 777 261 97 77 \n", + "11 : 5905 804 265 92 76 \n", + "12 : 5920 807 284 71 60 \n", + "13 : 5968 758 290 74 64 \n", + "\n", + "T : 83067 10927 3915 1169 922 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 61.1%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 3.6658e-02 sec\n", + "--- Collate = 8.0128e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.900422e-06 < 6.250000e-03 [545]\n", + "--- Max DT=6.797249e-01 > 1.000000e-01 [68075]\n", + "----------------------------------------------------------------------\n", + " Component | low: 545/100000\n", + " Component | high: 68075/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=46.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000263879 [ 0.01 %]\n", + "Velocity : 0.00119017 [ 0.04 %]\n", + "Force : 0.451019 [ 14.80 %]\n", + "Coefs : 1.97564 [ 64.85 %]\n", + "Output : 0.000772648 [ 0.03 %]\n", + "Levels : 0.000108351 [ 0.00 %]\n", + "Report : 3.73e-07 [ 0.00 %]\n", + "Balance : 2.47e-07 [ 0.00 %]\n", + "Adjust : 0.617528 [ 20.27 %]\n", + "Total : 3.04655 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5939 747 293 99 64 \n", + "1 : 5922 767 297 90 66 \n", + "2 : 5892 808 287 89 66 \n", + "3 : 5956 742 297 84 63 \n", + "4 : 5908 818 279 74 63 \n", + "5 : 5965 788 256 77 56 \n", + "6 : 5958 754 285 79 66 \n", + "7 : 5872 810 304 92 64 \n", + "8 : 5954 764 272 79 73 \n", + "9 : 5956 768 266 75 77 \n", + "10 : 5920 783 267 90 82 \n", + "11 : 5906 803 258 95 80 \n", + "12 : 5921 810 273 77 61 \n", + "13 : 5969 760 282 74 69 \n", + "\n", + "T : 83038 10922 3916 1174 950 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 9.4335e-02 sec\n", + "--- Collate = 3.3344e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.509699e-07 < 6.250000e-03 [550]\n", + "--- Max DT=6.748564e-01 > 1.000000e-01 [68062]\n", + "----------------------------------------------------------------------\n", + " Component | low: 550/100000\n", + " Component | high: 68062/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=46.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000188582 [ 0.01 %]\n", + "Velocity : 0.000924807 [ 0.04 %]\n", + "Force : 0.348695 [ 14.94 %]\n", + "Coefs : 1.3582 [ 58.19 %]\n", + "Output : 0.000663581 [ 0.03 %]\n", + "Levels : 0.000136903 [ 0.01 %]\n", + "Report : 4.5e-07 [ 0.00 %]\n", + "Balance : 1.74e-07 [ 0.00 %]\n", + "Adjust : 0.625134 [ 26.78 %]\n", + "Total : 2.33397 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5929 764 289 90 70 \n", + "1 : 5911 773 311 74 73 \n", + "2 : 5886 809 291 94 62 \n", + "3 : 5948 750 286 96 62 \n", + "4 : 5910 815 279 75 63 \n", + "5 : 5961 786 260 73 62 \n", + "6 : 5952 763 281 81 65 \n", + "7 : 5876 805 308 85 68 \n", + "8 : 5949 752 286 81 74 \n", + "9 : 5939 778 273 79 73 \n", + "10 : 5903 803 266 85 85 \n", + "11 : 5901 808 262 87 84 \n", + "12 : 5914 813 275 78 62 \n", + "13 : 5954 771 287 72 70 \n", + "\n", + "T : 82933 10990 3954 1150 973 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 5.7148e-02 sec\n", + "--- Collate = 7.0490e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.059321e-06 < 6.250000e-03 [572]\n", + "--- Max DT=6.642269e-01 > 1.000000e-01 [68051]\n", + "----------------------------------------------------------------------\n", + " Component | low: 572/100000\n", + " Component | high: 68051/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=46.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00029826 [ 0.01 %]\n", + "Velocity : 0.00183317 [ 0.06 %]\n", + "Force : 0.459631 [ 15.59 %]\n", + "Coefs : 1.89365 [ 64.23 %]\n", + "Output : 0.00083436 [ 0.03 %]\n", + "Levels : 0.000256673 [ 0.01 %]\n", + "Report : 8.76e-07 [ 0.00 %]\n", + "Balance : 5.23e-07 [ 0.00 %]\n", + "Adjust : 0.591713 [ 20.07 %]\n", + "Total : 2.94826 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5928 766 288 93 67 \n", + "1 : 5914 768 310 74 76 \n", + "2 : 5889 810 285 91 67 \n", + "3 : 5945 752 289 94 62 \n", + "4 : 5908 822 270 78 64 \n", + "5 : 5955 791 259 74 63 \n", + "6 : 5951 761 282 79 69 \n", + "7 : 5867 825 294 79 77 \n", + "8 : 5951 753 282 84 72 \n", + "9 : 5935 777 275 78 77 \n", + "10 : 5906 798 272 74 92 \n", + "11 : 5894 810 267 85 86 \n", + "12 : 5911 816 274 79 62 \n", + "13 : 5956 777 277 75 69 \n", + "\n", + "T : 82910 11026 3924 1137 1003 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 6.5407e-02 sec\n", + "--- Collate = 1.1037e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.273808e-05 < 6.250000e-03 [574]\n", + "--- Max DT=6.508049e-01 > 1.000000e-01 [68083]\n", + "----------------------------------------------------------------------\n", + " Component | low: 574/100000\n", + " Component | high: 68083/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=47] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000548461 [ 0.01 %]\n", + "Velocity : 0.0022454 [ 0.06 %]\n", + "Force : 0.67312 [ 17.81 %]\n", + "Coefs : 2.37307 [ 62.77 %]\n", + "Output : 0.00831598 [ 0.22 %]\n", + "Levels : 0.000458289 [ 0.01 %]\n", + "Report : 1.417e-06 [ 0.00 %]\n", + "Balance : 7.98e-07 [ 0.00 %]\n", + "Adjust : 0.722552 [ 19.11 %]\n", + "Total : 3.78037 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5911 775 293 97 66 \n", + "1 : 5914 773 304 70 81 \n", + "2 : 5893 812 272 102 63 \n", + "3 : 5943 755 294 81 69 \n", + "4 : 5901 831 270 79 61 \n", + "5 : 5954 791 256 73 68 \n", + "6 : 5947 765 287 76 67 \n", + "7 : 5861 840 282 86 73 \n", + "8 : 5960 746 283 76 77 \n", + "9 : 5932 783 269 83 75 \n", + "10 : 5902 805 271 74 90 \n", + "11 : 5884 810 279 88 81 \n", + "12 : 5910 820 268 79 65 \n", + "13 : 5949 785 268 80 72 \n", + "\n", + "T : 82861 11091 3896 1144 1008 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 24.2%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 6.1544e-02 sec\n", + "--- Collate = 7.8487e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.184602e-06 < 6.250000e-03 [589]\n", + "--- Max DT=7.081609e-01 > 1.000000e-01 [68102]\n", + "----------------------------------------------------------------------\n", + " Component | low: 589/100000\n", + " Component | high: 68102/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=47.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000840977 [ 0.03 %]\n", + "Velocity : 0.00216411 [ 0.06 %]\n", + "Force : 0.576422 [ 17.19 %]\n", + "Coefs : 2.1062 [ 62.81 %]\n", + "Output : 0.00147629 [ 0.04 %]\n", + "Levels : 0.000296829 [ 0.01 %]\n", + "Report : 9.79e-07 [ 0.00 %]\n", + "Balance : 5.81e-07 [ 0.00 %]\n", + "Adjust : 0.665612 [ 19.85 %]\n", + "Total : 3.35307 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5909 777 296 91 69 \n", + "1 : 5915 769 304 73 81 \n", + "2 : 5887 818 277 95 65 \n", + "3 : 5939 759 298 81 65 \n", + "4 : 5901 829 267 82 63 \n", + "5 : 5957 782 259 76 68 \n", + "6 : 5945 764 292 75 66 \n", + "7 : 5856 844 277 94 71 \n", + "8 : 5948 764 276 78 76 \n", + "9 : 5927 787 269 82 77 \n", + "10 : 5897 806 268 79 92 \n", + "11 : 5887 805 281 91 78 \n", + "12 : 5907 819 278 77 61 \n", + "13 : 5929 811 259 84 71 \n", + "\n", + "T : 82804 11134 3901 1158 1003 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.2974e-02 sec\n", + "--- Collate = 1.1012e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.883229e-07 < 6.250000e-03 [604]\n", + "--- Max DT=6.863559e-01 > 1.000000e-01 [68093]\n", + "----------------------------------------------------------------------\n", + " Component | low: 604/100000\n", + " Component | high: 68093/100000\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=47.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000540162 [ 0.02 %]\n", + "Velocity : 0.00265916 [ 0.08 %]\n", + "Force : 0.57772 [ 17.65 %]\n", + "Coefs : 2.03369 [ 62.12 %]\n", + "Output : 0.00160431 [ 0.05 %]\n", + "Levels : 0.000369299 [ 0.01 %]\n", + "Report : 4.96e-07 [ 0.00 %]\n", + "Balance : 2.98e-07 [ 0.00 %]\n", + "Adjust : 0.657214 [ 20.07 %]\n", + "Total : 3.27385 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5913 770 297 93 69 \n", + "1 : 5904 781 305 68 84 \n", + "2 : 5878 821 284 88 71 \n", + "3 : 5941 755 297 77 72 \n", + "4 : 5902 832 257 86 65 \n", + "5 : 5970 762 264 75 71 \n", + "6 : 5942 767 287 83 63 \n", + "7 : 5859 843 279 87 74 \n", + "8 : 5953 761 279 77 72 \n", + "9 : 5930 785 272 79 76 \n", + "10 : 5899 809 256 90 88 \n", + "11 : 5888 810 278 82 84 \n", + "12 : 5909 808 276 82 67 \n", + "13 : 5918 823 263 80 70 \n", + "\n", + "T : 82806 11127 3894 1147 1026 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 24.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 5.7362e-02 sec\n", + "--- Collate = 7.0149e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.996450e-06 < 6.250000e-03 [595]\n", + "--- Max DT=6.458576e-01 > 1.000000e-01 [68106]\n", + "----------------------------------------------------------------------\n", + " Component | low: 595/100000\n", + " Component | high: 68106/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=47.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00469326 [ 0.18 %]\n", + "Velocity : 0.00301736 [ 0.12 %]\n", + "Force : 0.447287 [ 17.07 %]\n", + "Coefs : 1.6484 [ 62.92 %]\n", + "Output : 0.0016943 [ 0.06 %]\n", + "Levels : 0.000238805 [ 0.01 %]\n", + "Report : 5.05e-07 [ 0.00 %]\n", + "Balance : 2.45e-07 [ 0.00 %]\n", + "Adjust : 0.514494 [ 19.64 %]\n", + "Total : 2.61989 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5899 787 290 96 70 \n", + "1 : 5901 784 302 74 81 \n", + "2 : 5877 824 276 89 76 \n", + "3 : 5929 766 295 74 78 \n", + "4 : 5899 828 260 85 70 \n", + "5 : 5955 771 273 67 76 \n", + "6 : 5940 767 290 81 64 \n", + "7 : 5857 839 288 80 78 \n", + "8 : 5952 755 282 81 72 \n", + "9 : 5921 790 278 75 78 \n", + "10 : 5893 811 262 88 88 \n", + "11 : 5889 812 275 86 80 \n", + "12 : 5900 815 278 83 66 \n", + "13 : 5913 820 275 79 67 \n", + "\n", + "T : 82725 11169 3924 1138 1044 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.0393e-02 sec\n", + "--- Collate = 6.0140e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.075427e-06 < 6.250000e-03 [594]\n", + "--- Max DT=6.741711e-01 > 1.000000e-01 [68088]\n", + "----------------------------------------------------------------------\n", + " Component | low: 594/100000\n", + " Component | high: 68088/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=47.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000585562 [ 0.02 %]\n", + "Velocity : 0.00260924 [ 0.08 %]\n", + "Force : 0.647522 [ 19.50 %]\n", + "Coefs : 1.99836 [ 60.19 %]\n", + "Output : 0.00160559 [ 0.05 %]\n", + "Levels : 0.000365105 [ 0.01 %]\n", + "Report : 2.104e-06 [ 0.00 %]\n", + "Balance : 5.82e-07 [ 0.00 %]\n", + "Adjust : 0.668699 [ 20.14 %]\n", + "Total : 3.31981 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5896 789 290 99 68 \n", + "1 : 5894 789 298 84 77 \n", + "2 : 5875 830 275 89 73 \n", + "3 : 5927 773 280 84 78 \n", + "4 : 5897 827 265 82 71 \n", + "5 : 5953 773 270 78 68 \n", + "6 : 5939 760 297 80 66 \n", + "7 : 5844 855 286 78 79 \n", + "8 : 5958 743 284 89 68 \n", + "9 : 5915 792 284 72 79 \n", + "10 : 5884 825 258 85 90 \n", + "11 : 5887 812 273 89 81 \n", + "12 : 5904 814 276 80 68 \n", + "13 : 5914 809 285 79 67 \n", + "\n", + "T : 82687 11191 3921 1168 1033 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 3.9377e-02 sec\n", + "--- Collate = 1.4014e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.792466e-07 < 6.250000e-03 [589]\n", + "--- Max DT=6.778804e-01 > 1.000000e-01 [68081]\n", + "----------------------------------------------------------------------\n", + " Component | low: 589/100000\n", + " Component | high: 68081/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=47.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000541642 [ 0.01 %]\n", + "Velocity : 0.00285182 [ 0.08 %]\n", + "Force : 0.679918 [ 18.01 %]\n", + "Coefs : 2.23268 [ 59.14 %]\n", + "Output : 0.00161595 [ 0.04 %]\n", + "Levels : 0.0085537 [ 0.23 %]\n", + "Report : 8.72e-07 [ 0.00 %]\n", + "Balance : 3.71e-07 [ 0.00 %]\n", + "Adjust : 0.84908 [ 22.49 %]\n", + "Total : 3.77532 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5899 783 294 90 76 \n", + "1 : 5900 781 296 92 73 \n", + "2 : 5873 832 272 88 77 \n", + "3 : 5919 779 285 88 71 \n", + "4 : 5890 823 274 82 73 \n", + "5 : 5948 768 279 85 62 \n", + "6 : 5936 757 303 80 66 \n", + "7 : 5844 847 295 80 76 \n", + "8 : 5953 737 298 81 73 \n", + "9 : 5901 809 280 66 86 \n", + "10 : 5892 807 267 82 94 \n", + "11 : 5879 810 286 96 71 \n", + "12 : 5905 810 274 90 63 \n", + "13 : 5905 818 279 86 66 \n", + "\n", + "T : 82644 11161 3982 1186 1027 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 28.7%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 4.6334e-02 sec\n", + "--- Collate = 1.0136e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.607900e-06 < 6.250000e-03 [603]\n", + "--- Max DT=6.364783e-01 > 1.000000e-01 [68076]\n", + "----------------------------------------------------------------------\n", + " Component | low: 603/100000\n", + " Component | high: 68076/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=47.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000568509 [ 0.02 %]\n", + "Velocity : 0.00276663 [ 0.08 %]\n", + "Force : 0.609373 [ 16.84 %]\n", + "Coefs : 2.29785 [ 63.52 %]\n", + "Output : 0.00152475 [ 0.04 %]\n", + "Levels : 0.000322616 [ 0.01 %]\n", + "Report : 5.27e-07 [ 0.00 %]\n", + "Balance : 2.57e-07 [ 0.00 %]\n", + "Adjust : 0.705288 [ 19.50 %]\n", + "Total : 3.61775 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5906 777 290 89 80 \n", + "1 : 5896 788 288 92 78 \n", + "2 : 5867 834 271 96 74 \n", + "3 : 5910 780 286 95 71 \n", + "4 : 5894 817 277 82 72 \n", + "5 : 5940 778 273 86 65 \n", + "6 : 5929 764 299 84 66 \n", + "7 : 5842 842 300 78 80 \n", + "8 : 5949 736 302 85 70 \n", + "9 : 5896 822 268 76 80 \n", + "10 : 5892 820 257 80 93 \n", + "11 : 5879 810 287 97 69 \n", + "12 : 5903 809 280 81 69 \n", + "13 : 5899 823 279 81 72 \n", + "\n", + "T : 82602 11200 3957 1202 1039 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.4241e-02 sec\n", + "--- Collate = 7.5098e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.728442e-06 < 6.250000e-03 [606]\n", + "--- Max DT=6.297154e-01 > 1.000000e-01 [68059]\n", + "----------------------------------------------------------------------\n", + " Component | low: 606/100000\n", + " Component | high: 68059/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=47.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000540775 [ 0.01 %]\n", + "Velocity : 0.00280148 [ 0.08 %]\n", + "Force : 0.588922 [ 15.85 %]\n", + "Coefs : 2.32534 [ 62.59 %]\n", + "Output : 0.00127138 [ 0.03 %]\n", + "Levels : 0.0084971 [ 0.23 %]\n", + "Report : 1.536e-06 [ 0.00 %]\n", + "Balance : 6.87e-07 [ 0.00 %]\n", + "Adjust : 0.787783 [ 21.20 %]\n", + "Total : 3.71522 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5902 775 298 87 80 \n", + "1 : 5903 779 292 92 76 \n", + "2 : 5865 836 269 91 81 \n", + "3 : 5904 785 280 101 72 \n", + "4 : 5888 816 276 90 72 \n", + "5 : 5938 777 282 79 66 \n", + "6 : 5929 765 288 93 67 \n", + "7 : 5852 830 302 81 77 \n", + "8 : 5943 740 299 92 68 \n", + "9 : 5894 825 265 80 78 \n", + "10 : 5886 824 254 85 93 \n", + "11 : 5879 811 285 97 70 \n", + "12 : 5900 809 283 83 67 \n", + "13 : 5891 822 282 89 70 \n", + "\n", + "T : 82574 11194 3955 1240 1037 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.6462e-02 sec\n", + "--- Collate = 7.0364e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.442056e-06 < 6.250000e-03 [591]\n", + "--- Max DT=6.915228e-01 > 1.000000e-01 [68044]\n", + "----------------------------------------------------------------------\n", + " Component | low: 591/100000\n", + " Component | high: 68044/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=47.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000595676 [ 0.02 %]\n", + "Velocity : 0.00236899 [ 0.06 %]\n", + "Force : 0.598104 [ 15.80 %]\n", + "Coefs : 2.3962 [ 63.30 %]\n", + "Output : 0.0015586 [ 0.04 %]\n", + "Levels : 0.000299093 [ 0.01 %]\n", + "Report : 9.29e-07 [ 0.00 %]\n", + "Balance : 4.2e-07 [ 0.00 %]\n", + "Adjust : 0.786285 [ 20.77 %]\n", + "Total : 3.78547 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5893 785 296 81 87 \n", + "1 : 5898 781 296 93 74 \n", + "2 : 5862 841 265 94 80 \n", + "3 : 5901 781 294 89 77 \n", + "4 : 5890 813 281 83 75 \n", + "5 : 5937 778 281 71 75 \n", + "6 : 5922 772 286 95 67 \n", + "7 : 5866 810 313 81 72 \n", + "8 : 5941 742 301 90 68 \n", + "9 : 5890 826 267 74 85 \n", + "10 : 5882 824 258 84 94 \n", + "11 : 5877 804 297 93 71 \n", + "12 : 5909 797 290 79 67 \n", + "13 : 5890 820 288 83 73 \n", + "\n", + "T : 82558 11174 4013 1190 1065 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 5.3988e-02 sec\n", + "--- Collate = 1.4036e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.692181e-06 < 6.250000e-03 [606]\n", + "--- Max DT=7.331164e-01 > 1.000000e-01 [68036]\n", + "----------------------------------------------------------------------\n", + " Component | low: 606/100000\n", + " Component | high: 68036/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=47.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000600216 [ 0.02 %]\n", + "Velocity : 0.0029072 [ 0.09 %]\n", + "Force : 0.526522 [ 15.48 %]\n", + "Coefs : 2.09424 [ 61.55 %]\n", + "Output : 0.00154194 [ 0.05 %]\n", + "Levels : 0.000321514 [ 0.01 %]\n", + "Report : 3.79e-07 [ 0.00 %]\n", + "Balance : 2.83e-07 [ 0.00 %]\n", + "Adjust : 0.776122 [ 22.81 %]\n", + "Total : 3.40231 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5897 790 283 83 89 \n", + "1 : 5894 783 298 84 83 \n", + "2 : 5866 835 269 96 76 \n", + "3 : 5903 777 301 83 78 \n", + "4 : 5884 812 288 82 76 \n", + "5 : 5940 772 290 70 70 \n", + "6 : 5911 780 284 98 69 \n", + "7 : 5862 816 316 82 66 \n", + "8 : 5932 741 308 89 72 \n", + "9 : 5879 833 275 75 80 \n", + "10 : 5883 825 250 89 95 \n", + "11 : 5878 803 295 95 71 \n", + "12 : 5895 812 292 73 70 \n", + "13 : 5890 816 291 83 74 \n", + "\n", + "T : 82514 11195 4040 1182 1069 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.2590e-02 sec\n", + "--- Collate = 1.6024e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.055914e-06 < 6.250000e-03 [608]\n", + "--- Max DT=7.717766e-01 > 1.000000e-01 [68026]\n", + "----------------------------------------------------------------------\n", + " Component | low: 608/100000\n", + " Component | high: 68026/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=48] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000791249 [ 0.02 %]\n", + "Velocity : 0.0023163 [ 0.06 %]\n", + "Force : 0.707281 [ 16.96 %]\n", + "Coefs : 2.62655 [ 63.00 %]\n", + "Output : 0.00892194 [ 0.21 %]\n", + "Levels : 0.000296818 [ 0.01 %]\n", + "Report : 1.596e-06 [ 0.00 %]\n", + "Balance : 6.13e-07 [ 0.00 %]\n", + "Adjust : 0.82289 [ 19.74 %]\n", + "Total : 4.16911 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5898 786 284 88 86 \n", + "1 : 5889 789 290 91 83 \n", + "2 : 5861 834 272 99 76 \n", + "3 : 5900 776 306 93 67 \n", + "4 : 5880 814 288 83 77 \n", + "5 : 5938 778 287 66 73 \n", + "6 : 5913 773 290 93 73 \n", + "7 : 5856 817 323 84 62 \n", + "8 : 5929 741 304 90 78 \n", + "9 : 5886 826 273 75 82 \n", + "10 : 5880 834 250 82 96 \n", + "11 : 5876 801 297 98 70 \n", + "12 : 5898 813 290 74 67 \n", + "13 : 5885 810 302 85 72 \n", + "\n", + "T : 82489 11192 4056 1201 1062 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 5.7394e-02 sec\n", + "--- Collate = 1.6045e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.330588e-07 < 6.250000e-03 [605]\n", + "--- Max DT=6.919161e-01 > 1.000000e-01 [68025]\n", + "----------------------------------------------------------------------\n", + " Component | low: 605/100000\n", + " Component | high: 68025/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=48.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000516419 [ 0.01 %]\n", + "Velocity : 0.0030872 [ 0.09 %]\n", + "Force : 0.599997 [ 16.90 %]\n", + "Coefs : 2.22648 [ 62.70 %]\n", + "Output : 0.00120071 [ 0.03 %]\n", + "Levels : 0.000311991 [ 0.01 %]\n", + "Report : 1.132e-06 [ 0.00 %]\n", + "Balance : 4.69e-07 [ 0.00 %]\n", + "Adjust : 0.719381 [ 20.26 %]\n", + "Total : 3.55103 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5899 779 288 87 89 \n", + "1 : 5895 773 307 80 87 \n", + "2 : 5854 839 285 94 70 \n", + "3 : 5901 780 305 90 66 \n", + "4 : 5882 813 283 89 75 \n", + "5 : 5935 774 290 72 71 \n", + "6 : 5902 776 302 96 66 \n", + "7 : 5862 809 328 78 65 \n", + "8 : 5925 738 303 98 78 \n", + "9 : 5886 819 274 85 78 \n", + "10 : 5876 831 255 83 97 \n", + "11 : 5876 795 308 96 67 \n", + "12 : 5893 826 278 78 67 \n", + "13 : 5889 800 301 91 73 \n", + "\n", + "T : 82475 11152 4107 1217 1049 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 28.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.3450e-02 sec\n", + "--- Collate = 5.0573e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.745275e-06 < 6.250000e-03 [597]\n", + "--- Max DT=7.238924e-01 > 1.000000e-01 [68028]\n", + "----------------------------------------------------------------------\n", + " Component | low: 597/100000\n", + " Component | high: 68028/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=48.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000696128 [ 0.02 %]\n", + "Velocity : 0.00218685 [ 0.06 %]\n", + "Force : 0.623923 [ 17.41 %]\n", + "Coefs : 2.18576 [ 60.98 %]\n", + "Output : 0.00108563 [ 0.03 %]\n", + "Levels : 0.000285319 [ 0.01 %]\n", + "Report : 7.12e-07 [ 0.00 %]\n", + "Balance : 3.13e-07 [ 0.00 %]\n", + "Adjust : 0.77056 [ 21.50 %]\n", + "Total : 3.58455 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5901 773 291 90 87 \n", + "1 : 5895 772 309 78 88 \n", + "2 : 5852 840 277 98 75 \n", + "3 : 5892 796 292 95 67 \n", + "4 : 5887 813 283 87 72 \n", + "5 : 5937 774 280 79 72 \n", + "6 : 5899 781 290 101 71 \n", + "7 : 5859 812 322 86 63 \n", + "8 : 5915 745 303 93 86 \n", + "9 : 5879 823 276 85 79 \n", + "10 : 5879 822 268 68 105 \n", + "11 : 5880 794 306 96 66 \n", + "12 : 5889 825 278 85 65 \n", + "13 : 5892 797 300 94 71 \n", + "\n", + "T : 82456 11167 4075 1235 1067 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 30.4%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 1.0654e-01 sec\n", + "--- Collate = 1.2045e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.437306e-06 < 6.250000e-03 [598]\n", + "--- Max DT=7.468074e-01 > 1.000000e-01 [68020]\n", + "----------------------------------------------------------------------\n", + " Component | low: 598/100000\n", + " Component | high: 68020/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=48.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00053253 [ 0.01 %]\n", + "Velocity : 0.00228292 [ 0.05 %]\n", + "Force : 0.824308 [ 17.56 %]\n", + "Coefs : 2.82803 [ 60.25 %]\n", + "Output : 0.00125706 [ 0.03 %]\n", + "Levels : 0.000288954 [ 0.01 %]\n", + "Report : 1.294e-06 [ 0.00 %]\n", + "Balance : 5.22e-07 [ 0.00 %]\n", + "Adjust : 1.03738 [ 22.10 %]\n", + "Total : 4.69415 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5902 775 288 89 88 \n", + "1 : 5887 773 319 71 92 \n", + "2 : 5847 842 277 96 80 \n", + "3 : 5902 778 301 91 70 \n", + "4 : 5881 820 280 97 64 \n", + "5 : 5936 766 288 79 73 \n", + "6 : 5897 785 287 104 69 \n", + "7 : 5858 806 326 91 61 \n", + "8 : 5918 737 310 91 86 \n", + "9 : 5891 806 279 91 75 \n", + "10 : 5880 819 264 79 100 \n", + "11 : 5879 794 297 97 75 \n", + "12 : 5890 822 278 82 70 \n", + "13 : 5892 799 291 85 87 \n", + "\n", + "T : 82460 11122 4085 1243 1090 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 17.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 6.4509e-02 sec\n", + "--- Collate = 1.5430e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.724303e-06 < 6.250000e-03 [619]\n", + "--- Max DT=7.304274e-01 > 1.000000e-01 [68041]\n", + "----------------------------------------------------------------------\n", + " Component | low: 619/100000\n", + " Component | high: 68041/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=48.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000800503 [ 0.02 %]\n", + "Velocity : 0.00228756 [ 0.05 %]\n", + "Force : 0.786583 [ 17.34 %]\n", + "Coefs : 2.83145 [ 62.41 %]\n", + "Output : 0.00106589 [ 0.02 %]\n", + "Levels : 0.00259216 [ 0.06 %]\n", + "Report : 1.402e-06 [ 0.00 %]\n", + "Balance : 5.48e-07 [ 0.00 %]\n", + "Adjust : 0.911801 [ 20.10 %]\n", + "Total : 4.53664 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5900 776 289 90 87 \n", + "1 : 5885 770 317 85 85 \n", + "2 : 5845 841 279 100 77 \n", + "3 : 5902 781 300 94 65 \n", + "4 : 5881 823 273 101 64 \n", + "5 : 5931 772 290 77 72 \n", + "6 : 5901 777 297 96 71 \n", + "7 : 5857 809 328 83 65 \n", + "8 : 5912 743 303 95 89 \n", + "9 : 5886 813 276 93 74 \n", + "10 : 5879 809 266 97 91 \n", + "11 : 5879 792 299 98 74 \n", + "12 : 5882 829 277 85 69 \n", + "13 : 5888 799 299 77 91 \n", + "\n", + "T : 82428 11134 4093 1271 1074 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 25.4%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 6.0259e-02 sec\n", + "--- Collate = 6.9116e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.654668e-06 < 6.250000e-03 [621]\n", + "--- Max DT=7.769650e-01 > 1.000000e-01 [68021]\n", + "----------------------------------------------------------------------\n", + " Component | low: 621/100000\n", + " Component | high: 68021/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=48.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00113656 [ 0.03 %]\n", + "Velocity : 0.00465018 [ 0.13 %]\n", + "Force : 0.568047 [ 16.05 %]\n", + "Coefs : 2.20931 [ 62.44 %]\n", + "Output : 0.001865 [ 0.05 %]\n", + "Levels : 0.000360971 [ 0.01 %]\n", + "Report : 1.13e-06 [ 0.00 %]\n", + "Balance : 5.37e-07 [ 0.00 %]\n", + "Adjust : 0.752822 [ 21.28 %]\n", + "Total : 3.53825 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5901 764 300 93 84 \n", + "1 : 5886 755 325 93 83 \n", + "2 : 5843 836 284 108 71 \n", + "3 : 5894 788 297 93 70 \n", + "4 : 5882 828 272 94 66 \n", + "5 : 5931 781 274 87 69 \n", + "6 : 5907 773 299 87 76 \n", + "7 : 5860 813 319 82 68 \n", + "8 : 5904 755 304 94 85 \n", + "9 : 5881 815 277 91 78 \n", + "10 : 5883 807 268 95 89 \n", + "11 : 5878 799 294 93 78 \n", + "12 : 5882 824 286 76 74 \n", + "13 : 5893 796 296 77 92 \n", + "\n", + "T : 82425 11134 4095 1263 1083 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 5.4519e-02 sec\n", + "--- Collate = 1.8048e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.932225e-06 < 6.250000e-03 [607]\n", + "--- Max DT=7.339617e-01 > 1.000000e-01 [68048]\n", + "----------------------------------------------------------------------\n", + " Component | low: 607/100000\n", + " Component | high: 68048/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=48.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00076762 [ 0.02 %]\n", + "Velocity : 0.00439848 [ 0.12 %]\n", + "Force : 0.536895 [ 14.81 %]\n", + "Coefs : 2.30129 [ 63.46 %]\n", + "Output : 0.00176843 [ 0.05 %]\n", + "Levels : 0.0003725 [ 0.01 %]\n", + "Report : 8.49e-07 [ 0.00 %]\n", + "Balance : 3.6e-07 [ 0.00 %]\n", + "Adjust : 0.780744 [ 21.53 %]\n", + "Total : 3.6263 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5896 765 297 99 85 \n", + "1 : 5890 749 322 102 79 \n", + "2 : 5838 839 287 99 79 \n", + "3 : 5888 805 285 94 70 \n", + "4 : 5883 817 281 92 69 \n", + "5 : 5933 773 279 85 72 \n", + "6 : 5902 773 309 78 80 \n", + "7 : 5867 806 319 79 71 \n", + "8 : 5904 756 304 92 86 \n", + "9 : 5886 808 274 95 79 \n", + "10 : 5884 801 275 84 98 \n", + "11 : 5881 794 300 83 84 \n", + "12 : 5883 816 291 77 75 \n", + "13 : 5897 788 302 80 87 \n", + "\n", + "T : 82432 11090 4125 1239 1114 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 6.6591e-02 sec\n", + "--- Collate = 2.2032e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.162266e-06 < 6.250000e-03 [605]\n", + "--- Max DT=7.161715e-01 > 1.000000e-01 [68033]\n", + "----------------------------------------------------------------------\n", + " Component | low: 605/100000\n", + " Component | high: 68033/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=48.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0011391 [ 0.02 %]\n", + "Velocity : 0.00296498 [ 0.06 %]\n", + "Force : 0.809269 [ 17.53 %]\n", + "Coefs : 2.88649 [ 62.52 %]\n", + "Output : 0.00155273 [ 0.03 %]\n", + "Levels : 0.000274795 [ 0.01 %]\n", + "Report : 1.59e-06 [ 0.00 %]\n", + "Balance : 5.08e-07 [ 0.00 %]\n", + "Adjust : 0.915146 [ 19.82 %]\n", + "Total : 4.61691 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5895 770 298 99 80 \n", + "1 : 5882 752 321 104 83 \n", + "2 : 5830 855 281 93 83 \n", + "3 : 5896 799 283 94 70 \n", + "4 : 5886 809 289 88 70 \n", + "5 : 5932 773 274 93 70 \n", + "6 : 5909 771 304 79 79 \n", + "7 : 5862 808 325 78 69 \n", + "8 : 5903 755 305 95 84 \n", + "9 : 5884 812 268 97 81 \n", + "10 : 5889 789 284 89 91 \n", + "11 : 5867 802 303 82 88 \n", + "12 : 5891 805 294 76 76 \n", + "13 : 5885 794 308 87 80 \n", + "\n", + "T : 82411 11094 4137 1254 1104 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 28.5%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 5.1373e-02 sec\n", + "--- Collate = 2.0189e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.142829e-06 < 6.250000e-03 [617]\n", + "--- Max DT=7.724878e-01 > 1.000000e-01 [68036]\n", + "----------------------------------------------------------------------\n", + " Component | low: 617/100000\n", + " Component | high: 68036/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=48.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000582063 [ 0.01 %]\n", + "Velocity : 0.0022663 [ 0.06 %]\n", + "Force : 0.67989 [ 16.52 %]\n", + "Coefs : 2.55689 [ 62.12 %]\n", + "Output : 0.0010811 [ 0.03 %]\n", + "Levels : 0.000323807 [ 0.01 %]\n", + "Report : 7.91e-07 [ 0.00 %]\n", + "Balance : 2.66e-07 [ 0.00 %]\n", + "Adjust : 0.875072 [ 21.26 %]\n", + "Total : 4.11617 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5896 763 295 104 84 \n", + "1 : 5882 744 324 112 80 \n", + "2 : 5834 849 280 92 87 \n", + "3 : 5898 791 290 92 71 \n", + "4 : 5877 812 302 76 75 \n", + "5 : 5929 764 287 85 77 \n", + "6 : 5912 761 304 85 80 \n", + "7 : 5864 802 332 78 66 \n", + "8 : 5904 749 309 95 85 \n", + "9 : 5884 800 281 97 80 \n", + "10 : 5893 786 280 89 94 \n", + "11 : 5863 805 306 92 76 \n", + "12 : 5885 816 289 79 73 \n", + "13 : 5883 799 309 89 74 \n", + "\n", + "T : 82404 11041 4188 1265 1102 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.2402e-02 sec\n", + "--- Collate = 2.2038e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.753264e-06 < 6.250000e-03 [629]\n", + "--- Max DT=7.717916e-01 > 1.000000e-01 [68034]\n", + "----------------------------------------------------------------------\n", + " Component | low: 629/100000\n", + " Component | high: 68034/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=48.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000964443 [ 0.02 %]\n", + "Velocity : 0.00700676 [ 0.15 %]\n", + "Force : 0.688175 [ 15.21 %]\n", + "Coefs : 2.84895 [ 62.96 %]\n", + "Output : 0.0015734 [ 0.03 %]\n", + "Levels : 0.000247522 [ 0.01 %]\n", + "Report : 8.33e-07 [ 0.00 %]\n", + "Balance : 2.26e-07 [ 0.00 %]\n", + "Adjust : 0.978358 [ 21.62 %]\n", + "Total : 4.52534 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5891 758 307 98 88 \n", + "1 : 5879 745 331 107 80 \n", + "2 : 5825 848 300 83 86 \n", + "3 : 5897 789 297 87 72 \n", + "4 : 5871 818 296 84 73 \n", + "5 : 5924 765 297 84 72 \n", + "6 : 5908 765 302 90 77 \n", + "7 : 5860 810 329 75 68 \n", + "8 : 5911 739 308 98 86 \n", + "9 : 5882 804 279 98 79 \n", + "10 : 5896 782 278 97 89 \n", + "11 : 5867 801 298 98 78 \n", + "12 : 5887 820 272 91 72 \n", + "13 : 5885 788 323 85 73 \n", + "\n", + "T : 82383 11032 4217 1275 1093 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 31.4%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 4.8520e-02 sec\n", + "--- Collate = 7.0610e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.515740e-07 < 6.250000e-03 [615]\n", + "--- Max DT=8.034050e-01 > 1.000000e-01 [68053]\n", + "----------------------------------------------------------------------\n", + " Component | low: 615/100000\n", + " Component | high: 68053/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=49] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000824969 [ 0.02 %]\n", + "Velocity : 0.0024287 [ 0.07 %]\n", + "Force : 0.613147 [ 17.12 %]\n", + "Coefs : 2.25961 [ 63.09 %]\n", + "Output : 0.00595209 [ 0.17 %]\n", + "Levels : 0.000289377 [ 0.01 %]\n", + "Report : 1.47e-06 [ 0.00 %]\n", "Balance : 5.58e-07 [ 0.00 %]\n", - "Adjust : 0.0762562 [ 43.83 %]\n", - "Total : 0.173978 [100.00 %]\n", + "Adjust : 0.699087 [ 19.52 %]\n", + "Total : 3.5814 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5893 760 302 102 85 \n", + "1 : 5876 757 322 108 79 \n", + "2 : 5832 833 313 84 80 \n", + "3 : 5889 788 301 90 74 \n", + "4 : 5859 830 295 81 77 \n", + "5 : 5915 778 293 87 69 \n", + "6 : 5901 769 301 96 75 \n", + "7 : 5866 800 334 72 70 \n", + "8 : 5906 737 317 99 83 \n", + "9 : 5886 794 281 98 83 \n", + "10 : 5900 775 278 103 86 \n", + "11 : 5868 789 310 97 78 \n", + "12 : 5888 814 278 90 72 \n", + "13 : 5885 797 315 86 71 \n", + "\n", + "T : 82364 11021 4240 1293 1082 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 8.3471e-02 sec\n", + "--- Collate = 1.0032e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.249663e-06 < 6.250000e-03 [617]\n", + "--- Max DT=7.598777e-01 > 1.000000e-01 [68049]\n", + "----------------------------------------------------------------------\n", + " Component | low: 617/100000\n", + " Component | high: 68049/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=49.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000521752 [ 0.01 %]\n", + "Velocity : 0.00233717 [ 0.06 %]\n", + "Force : 0.618364 [ 16.35 %]\n", + "Coefs : 2.35934 [ 62.37 %]\n", + "Output : 0.00128683 [ 0.03 %]\n", + "Levels : 0.000188531 [ 0.00 %]\n", + "Report : 8.55e-07 [ 0.00 %]\n", + "Balance : 2.94e-07 [ 0.00 %]\n", + "Adjust : 0.800898 [ 21.17 %]\n", + "Total : 3.78298 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5888 763 306 103 82 \n", + "1 : 5881 760 322 94 85 \n", + "2 : 5834 821 324 84 79 \n", + "3 : 5898 780 300 92 72 \n", + "4 : 5867 818 301 81 75 \n", + "5 : 5895 789 309 78 71 \n", + "6 : 5894 773 309 92 74 \n", + "7 : 5872 796 333 73 68 \n", + "8 : 5909 735 316 94 88 \n", + "9 : 5884 793 286 97 82 \n", + "10 : 5908 766 283 91 94 \n", + "11 : 5866 795 309 90 82 \n", + "12 : 5882 812 290 88 70 \n", + "13 : 5887 792 325 75 75 \n", + "\n", + "T : 82365 10993 4313 1232 1097 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 5.2383e-02 sec\n", + "--- Collate = 7.0165e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.711897e-05 < 6.250000e-03 [598]\n", + "--- Max DT=7.411808e-01 > 1.000000e-01 [68016]\n", + "----------------------------------------------------------------------\n", + " Component | low: 598/100000\n", + " Component | high: 68016/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=49.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000869663 [ 0.03 %]\n", + "Velocity : 0.0025963 [ 0.08 %]\n", + "Force : 0.591468 [ 17.54 %]\n", + "Coefs : 2.09458 [ 62.11 %]\n", + "Output : 0.00126684 [ 0.04 %]\n", + "Levels : 0.000280199 [ 0.01 %]\n", + "Report : 4.77e-07 [ 0.00 %]\n", + "Balance : 3.17e-07 [ 0.00 %]\n", + "Adjust : 0.681445 [ 20.21 %]\n", + "Total : 3.37255 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5881 770 302 107 82 \n", + "1 : 5883 752 326 90 91 \n", + "2 : 5827 824 325 89 77 \n", + "3 : 5900 777 295 100 70 \n", + "4 : 5862 823 300 83 74 \n", + "5 : 5898 779 317 79 69 \n", + "6 : 5890 776 309 88 79 \n", + "7 : 5867 800 325 87 63 \n", + "8 : 5902 748 316 88 88 \n", + "9 : 5880 792 291 95 84 \n", + "10 : 5902 768 291 88 93 \n", + "11 : 5861 805 297 101 78 \n", + "12 : 5883 804 305 88 62 \n", + "13 : 5883 796 322 78 75 \n", + "\n", + "T : 82319 11014 4321 1261 1085 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 5.2160e-02 sec\n", + "--- Collate = 7.0201e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.086633e-07 < 6.250000e-03 [619]\n", + "--- Max DT=8.077667e-01 > 1.000000e-01 [68050]\n", + "----------------------------------------------------------------------\n", + " Component | low: 619/100000\n", + " Component | high: 68050/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=49.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00044415 [ 0.01 %]\n", + "Velocity : 0.00253231 [ 0.07 %]\n", + "Force : 0.580747 [ 17.20 %]\n", + "Coefs : 2.04878 [ 60.67 %]\n", + "Output : 0.00135769 [ 0.04 %]\n", + "Levels : 0.000251213 [ 0.01 %]\n", + "Report : 6.19e-07 [ 0.00 %]\n", + "Balance : 3.05e-07 [ 0.00 %]\n", + "Adjust : 0.742564 [ 21.99 %]\n", + "Total : 3.37672 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5876 775 297 101 93 \n", + "1 : 5880 759 320 88 95 \n", + "2 : 5826 832 313 98 73 \n", + "3 : 5896 775 299 102 70 \n", + "4 : 5851 834 303 82 72 \n", + "5 : 5896 780 315 86 65 \n", + "6 : 5884 784 301 95 78 \n", + "7 : 5863 802 332 79 66 \n", + "8 : 5900 749 317 88 88 \n", + "9 : 5879 786 293 96 88 \n", + "10 : 5911 757 296 85 93 \n", + "11 : 5860 803 301 100 78 \n", + "12 : 5883 799 311 93 56 \n", + "13 : 5882 795 324 73 80 \n", + "\n", + "T : 82287 11030 4322 1266 1095 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 6.3406e-02 sec\n", + "--- Collate = 8.0176e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.170819e-06 < 6.250000e-03 [610]\n", + "--- Max DT=7.703297e-01 > 1.000000e-01 [68047]\n", + "----------------------------------------------------------------------\n", + " Component | low: 610/100000\n", + " Component | high: 68047/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=49.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000832242 [ 0.03 %]\n", + "Velocity : 0.00244238 [ 0.08 %]\n", + "Force : 0.506555 [ 17.18 %]\n", + "Coefs : 1.83146 [ 62.12 %]\n", + "Output : 0.00124204 [ 0.04 %]\n", + "Levels : 0.000246628 [ 0.01 %]\n", + "Report : 8.81e-07 [ 0.00 %]\n", + "Balance : 3.5e-07 [ 0.00 %]\n", + "Adjust : 0.605204 [ 20.53 %]\n", + "Total : 2.94804 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5871 772 307 101 91 \n", + "1 : 5878 758 327 91 88 \n", + "2 : 5828 822 321 98 73 \n", + "3 : 5899 767 309 92 75 \n", + "4 : 5847 850 278 100 67 \n", + "5 : 5891 776 322 81 72 \n", + "6 : 5885 782 301 98 76 \n", + "7 : 5859 810 328 82 63 \n", + "8 : 5899 750 312 91 90 \n", + "9 : 5876 787 296 93 90 \n", + "10 : 5900 758 302 96 86 \n", + "11 : 5866 801 295 103 77 \n", + "12 : 5877 799 312 96 58 \n", + "13 : 5885 794 321 74 80 \n", + "\n", + "T : 82261 11026 4331 1296 1086 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 3.8968e-02 sec\n", + "--- Collate = 2.8116e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.448405e-06 < 6.250000e-03 [629]\n", + "--- Max DT=8.504000e-01 > 1.000000e-01 [68052]\n", + "----------------------------------------------------------------------\n", + " Component | low: 629/100000\n", + " Component | high: 68052/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=49.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000506179 [ 0.02 %]\n", + "Velocity : 0.00225082 [ 0.08 %]\n", + "Force : 0.492515 [ 17.38 %]\n", + "Coefs : 1.67997 [ 59.27 %]\n", + "Output : 0.00114619 [ 0.04 %]\n", + "Levels : 0.000213173 [ 0.01 %]\n", + "Report : 5.97e-07 [ 0.00 %]\n", + "Balance : 2.44e-07 [ 0.00 %]\n", + "Adjust : 0.657821 [ 23.21 %]\n", + "Total : 2.83447 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5870 775 309 99 89 \n", + "1 : 5864 766 338 85 89 \n", + "2 : 5834 815 321 100 72 \n", + "3 : 5888 771 322 89 72 \n", + "4 : 5850 843 287 90 72 \n", + "5 : 5898 778 318 74 74 \n", + "6 : 5888 769 314 94 77 \n", + "7 : 5859 807 329 85 62 \n", + "8 : 5891 755 311 96 89 \n", + "9 : 5883 779 294 96 90 \n", + "10 : 5898 750 315 90 89 \n", + "11 : 5860 800 305 96 81 \n", + "12 : 5879 801 308 96 58 \n", + "13 : 5886 798 312 84 74 \n", + "\n", + "T : 82248 11007 4383 1274 1088 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 5.4547e-02 sec\n", + "--- Collate = 3.5586e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.500526e-06 < 6.250000e-03 [629]\n", + "--- Max DT=7.582332e-01 > 1.000000e-01 [68044]\n", + "----------------------------------------------------------------------\n", + " Component | low: 629/100000\n", + " Component | high: 68044/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=49.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00473689 [ 0.16 %]\n", + "Velocity : 0.00208263 [ 0.07 %]\n", + "Force : 0.586819 [ 19.33 %]\n", + "Coefs : 1.75847 [ 57.93 %]\n", + "Output : 0.00122734 [ 0.04 %]\n", + "Levels : 0.000211264 [ 0.01 %]\n", + "Report : 1.062e-06 [ 0.00 %]\n", + "Balance : 3.23e-07 [ 0.00 %]\n", + "Adjust : 0.681823 [ 22.46 %]\n", + "Total : 3.03542 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5873 780 299 100 90 \n", + "1 : 5865 774 330 89 84 \n", + "2 : 5835 817 313 109 68 \n", + "3 : 5885 776 320 81 80 \n", + "4 : 5846 848 283 87 78 \n", + "5 : 5902 781 307 79 73 \n", + "6 : 5882 773 315 94 78 \n", + "7 : 5849 819 316 92 66 \n", + "8 : 5897 750 315 91 89 \n", + "9 : 5876 774 296 107 89 \n", + "10 : 5890 756 310 98 88 \n", + "11 : 5866 799 289 93 95 \n", + "12 : 5872 810 306 87 67 \n", + "13 : 5885 801 308 84 76 \n", + "\n", + "T : 82223 11058 4307 1291 1121 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 5.5421e-02 sec\n", + "--- Collate = 8.0513e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.912204e-08 < 6.250000e-03 [635]\n", + "--- Max DT=7.051437e-01 > 1.000000e-01 [68051]\n", + "----------------------------------------------------------------------\n", + " Component | low: 635/100000\n", + " Component | high: 68051/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=49.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000459344 [ 0.02 %]\n", + "Velocity : 0.0020856 [ 0.07 %]\n", + "Force : 0.507671 [ 17.13 %]\n", + "Coefs : 1.8256 [ 61.59 %]\n", + "Output : 0.00131677 [ 0.04 %]\n", + "Levels : 0.000290012 [ 0.01 %]\n", + "Report : 5.49e-07 [ 0.00 %]\n", + "Balance : 2.29e-07 [ 0.00 %]\n", + "Adjust : 0.626707 [ 21.14 %]\n", + "Total : 2.96418 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5865 792 297 96 92 \n", + "1 : 5858 775 334 93 82 \n", + "2 : 5827 822 325 102 66 \n", + "3 : 5884 772 323 78 85 \n", + "4 : 5848 843 283 87 81 \n", + "5 : 5898 781 308 77 78 \n", + "6 : 5880 774 319 95 74 \n", + "7 : 5850 809 320 95 68 \n", + "8 : 5894 747 322 89 90 \n", + "9 : 5875 773 298 105 91 \n", + "10 : 5888 754 313 98 89 \n", + "11 : 5861 798 294 99 90 \n", + "12 : 5873 817 296 92 64 \n", + "13 : 5881 799 309 90 75 \n", + "\n", + "T : 82182 11056 4341 1296 1125 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 2.3427e-02 sec\n", + "--- Collate = 5.4447e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.260653e-06 < 6.250000e-03 [647]\n", + "--- Max DT=7.241740e-01 > 1.000000e-01 [68032]\n", + "----------------------------------------------------------------------\n", + " Component | low: 647/100000\n", + " Component | high: 68032/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=49.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000980161 [ 0.03 %]\n", + "Velocity : 0.00253192 [ 0.08 %]\n", + "Force : 0.567749 [ 16.86 %]\n", + "Coefs : 2.14772 [ 63.79 %]\n", + "Output : 0.00147562 [ 0.04 %]\n", + "Levels : 0.000428901 [ 0.01 %]\n", + "Report : 7.24e-07 [ 0.00 %]\n", + "Balance : 3.54e-07 [ 0.00 %]\n", + "Adjust : 0.645771 [ 19.18 %]\n", + "Total : 3.3667 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5862 790 300 106 84 \n", + "1 : 5856 773 340 96 77 \n", + "2 : 5826 830 322 87 77 \n", + "3 : 5877 794 306 83 82 \n", + "4 : 5851 839 286 84 82 \n", + "5 : 5893 787 299 84 79 \n", + "6 : 5878 776 318 95 75 \n", + "7 : 5846 826 300 96 74 \n", + "8 : 5895 744 323 85 95 \n", + "9 : 5872 778 298 98 96 \n", + "10 : 5886 750 318 97 91 \n", + "11 : 5871 774 305 101 91 \n", + "12 : 5866 814 310 88 64 \n", + "13 : 5881 800 302 95 76 \n", + "\n", + "T : 82160 11075 4327 1295 1143 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 4.6391e-02 sec\n", + "--- Collate = 1.0038e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.144797e-06 < 6.250000e-03 [640]\n", + "--- Max DT=7.030603e-01 > 1.000000e-01 [68053]\n", + "----------------------------------------------------------------------\n", + " Component | low: 640/100000\n", + " Component | high: 68053/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=49.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00185964 [ 0.06 %]\n", + "Velocity : 0.00238574 [ 0.07 %]\n", + "Force : 0.583996 [ 17.98 %]\n", + "Coefs : 1.996 [ 61.46 %]\n", + "Output : 0.00147279 [ 0.05 %]\n", + "Levels : 0.000260677 [ 0.01 %]\n", + "Report : 6.47e-07 [ 0.00 %]\n", + "Balance : 2.67e-07 [ 0.00 %]\n", + "Adjust : 0.661528 [ 20.37 %]\n", + "Total : 3.24756 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5861 796 295 99 91 \n", + "1 : 5855 773 337 100 77 \n", + "2 : 5824 828 320 89 81 \n", + "3 : 5874 792 309 88 79 \n", + "4 : 5855 832 283 90 82 \n", + "5 : 5888 792 292 95 75 \n", + "6 : 5880 776 317 93 76 \n", + "7 : 5845 827 294 102 74 \n", + "8 : 5899 743 318 86 96 \n", + "9 : 5871 782 294 105 90 \n", + "10 : 5885 746 327 94 90 \n", + "11 : 5870 772 306 98 96 \n", + "12 : 5863 809 309 91 70 \n", + "13 : 5881 800 305 96 72 \n", + "\n", + "T : 82151 11068 4306 1326 1149 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 5.2521e-02 sec\n", + "--- Collate = 8.0105e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.376584e-06 < 6.250000e-03 [636]\n", + "--- Max DT=7.091039e-01 > 1.000000e-01 [68051]\n", + "----------------------------------------------------------------------\n", + " Component | low: 636/100000\n", + " Component | high: 68051/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=50] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000763537 [ 0.02 %]\n", + "Velocity : 0.00236906 [ 0.07 %]\n", + "Force : 0.54199 [ 16.55 %]\n", + "Coefs : 1.90072 [ 58.05 %]\n", + "Output : 0.195449 [ 5.97 %]\n", + "Levels : 0.000247157 [ 0.01 %]\n", + "Report : 9.58e-07 [ 0.00 %]\n", + "Balance : 6.29e-07 [ 0.00 %]\n", + "Adjust : 0.632699 [ 19.32 %]\n", + "Total : 3.27429 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5863 793 285 110 91 \n", + "1 : 5856 767 340 101 78 \n", + "2 : 5821 830 321 97 73 \n", + "3 : 5880 785 306 82 89 \n", + "4 : 5857 832 277 91 85 \n", + "5 : 5888 794 293 88 79 \n", + "6 : 5879 769 329 96 69 \n", + "7 : 5849 827 285 106 75 \n", + "8 : 5890 751 320 92 89 \n", + "9 : 5869 777 293 115 88 \n", + "10 : 5886 748 318 103 87 \n", + "11 : 5865 776 301 101 99 \n", + "12 : 5862 805 314 94 67 \n", + "13 : 5883 794 310 97 70 \n", + "\n", + "T : 82148 11048 4292 1373 1139 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.1411e-02 sec\n", + "--- Collate = 7.0280e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.708168e-06 < 6.250000e-03 [630]\n", + "--- Max DT=7.733706e-01 > 1.000000e-01 [68046]\n", + "----------------------------------------------------------------------\n", + " Component | low: 630/100000\n", + " Component | high: 68046/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=50.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000559936 [ 0.02 %]\n", + "Velocity : 0.00253087 [ 0.07 %]\n", + "Force : 0.548549 [ 15.99 %]\n", + "Coefs : 2.16345 [ 63.07 %]\n", + "Output : 0.00133133 [ 0.04 %]\n", + "Levels : 0.000581374 [ 0.02 %]\n", + "Report : 9.14e-07 [ 0.00 %]\n", + "Balance : 3.55e-07 [ 0.00 %]\n", + "Adjust : 0.712933 [ 20.79 %]\n", + "Total : 3.42998 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5862 798 281 100 101 \n", + "1 : 5860 765 333 107 77 \n", + "2 : 5821 827 328 88 78 \n", + "3 : 5882 780 308 85 87 \n", + "4 : 5853 832 281 91 85 \n", + "5 : 5886 794 295 85 82 \n", + "6 : 5881 765 329 100 67 \n", + "7 : 5849 825 282 111 75 \n", + "8 : 5889 748 322 94 89 \n", + "9 : 5862 780 299 106 95 \n", + "10 : 5890 736 325 102 89 \n", + "11 : 5863 777 305 99 98 \n", + "12 : 5849 820 312 93 68 \n", + "13 : 5876 806 302 97 73 \n", + "\n", + "T : 82123 11053 4302 1358 1164 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 5.0896e-02 sec\n", + "--- Collate = 5.1102e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.851532e-07 < 6.250000e-03 [640]\n", + "--- Max DT=7.991652e-01 > 1.000000e-01 [68047]\n", + "----------------------------------------------------------------------\n", + " Component | low: 640/100000\n", + " Component | high: 68047/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=50.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000474015 [ 0.01 %]\n", + "Velocity : 0.00225861 [ 0.07 %]\n", + "Force : 0.606669 [ 17.93 %]\n", + "Coefs : 2.06271 [ 60.97 %]\n", + "Output : 0.00135542 [ 0.04 %]\n", + "Levels : 0.000328311 [ 0.01 %]\n", + "Report : 1.136e-06 [ 0.00 %]\n", + "Balance : 3.26e-07 [ 0.00 %]\n", + "Adjust : 0.709134 [ 20.96 %]\n", + "Total : 3.38298 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5852 802 294 93 101 \n", + "1 : 5861 770 326 107 78 \n", + "2 : 5821 832 323 88 78 \n", + "3 : 5885 773 319 82 83 \n", + "4 : 5859 819 291 92 81 \n", + "5 : 5883 802 284 93 80 \n", + "6 : 5877 759 342 97 67 \n", + "7 : 5860 810 288 111 73 \n", + "8 : 5889 752 318 93 90 \n", + "9 : 5860 772 310 98 102 \n", + "10 : 5889 736 327 99 91 \n", + "11 : 5862 777 304 103 96 \n", + "12 : 5857 812 311 90 72 \n", + "13 : 5876 801 308 95 74 \n", + "\n", + "T : 82131 11017 4345 1341 1166 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 16.7%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 5.1468e-02 sec\n", + "--- Collate = 7.0154e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.774627e-06 < 6.250000e-03 [637]\n", + "--- Max DT=8.192821e-01 > 1.000000e-01 [68061]\n", + "----------------------------------------------------------------------\n", + " Component | low: 637/100000\n", + " Component | high: 68061/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=50.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000498223 [ 0.01 %]\n", + "Velocity : 0.00210739 [ 0.06 %]\n", + "Force : 0.633797 [ 17.42 %]\n", + "Coefs : 2.23942 [ 61.55 %]\n", + "Output : 0.00139117 [ 0.04 %]\n", + "Levels : 0.000313815 [ 0.01 %]\n", + "Report : 9.11e-07 [ 0.00 %]\n", + "Balance : 3.85e-07 [ 0.00 %]\n", + "Adjust : 0.761079 [ 20.92 %]\n", + "Total : 3.63866 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5856 802 290 93 101 \n", + "1 : 5858 778 325 107 74 \n", + "2 : 5818 837 323 88 76 \n", + "3 : 5892 769 312 81 88 \n", + "4 : 5859 818 280 100 85 \n", + "5 : 5882 805 288 79 88 \n", + "6 : 5877 757 347 91 70 \n", + "7 : 5859 810 291 106 76 \n", + "8 : 5895 754 311 91 91 \n", + "9 : 5855 777 309 100 101 \n", + "10 : 5892 731 327 100 92 \n", + "11 : 5853 785 307 102 95 \n", + "12 : 5854 811 312 90 75 \n", + "13 : 5875 802 309 96 72 \n", + "\n", + "T : 82125 11036 4331 1324 1184 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 2.9533e-02 sec\n", + "--- Collate = 5.1764e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.708247e-06 < 6.250000e-03 [639]\n", + "--- Max DT=7.645687e-01 > 1.000000e-01 [68073]\n", + "----------------------------------------------------------------------\n", + " Component | low: 639/100000\n", + " Component | high: 68073/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=50.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000373444 [ 0.01 %]\n", + "Velocity : 0.00131713 [ 0.04 %]\n", + "Force : 0.531638 [ 17.21 %]\n", + "Coefs : 1.96687 [ 63.65 %]\n", + "Output : 0.000775579 [ 0.03 %]\n", + "Levels : 0.000137029 [ 0.00 %]\n", + "Report : 3.14e-07 [ 0.00 %]\n", + "Balance : 1.41e-07 [ 0.00 %]\n", + "Adjust : 0.588802 [ 19.06 %]\n", + "Total : 3.08994 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5856 799 296 90 101 \n", + "1 : 5862 775 319 112 74 \n", + "2 : 5813 840 323 88 78 \n", + "3 : 5882 772 323 80 85 \n", + "4 : 5848 827 288 98 81 \n", + "5 : 5890 805 280 79 88 \n", + "6 : 5873 749 361 92 67 \n", + "7 : 5857 804 298 103 80 \n", + "8 : 5894 756 313 87 92 \n", + "9 : 5853 775 312 106 96 \n", + "10 : 5894 734 325 101 88 \n", + "11 : 5857 779 309 106 91 \n", + "12 : 5855 804 314 96 73 \n", + "13 : 5871 797 313 94 79 \n", + "\n", + "T : 82105 11016 4374 1332 1173 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.9723e-02 sec\n", + "--- Collate = 9.0071e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.253213e-07 < 6.250000e-03 [643]\n", + "--- Max DT=7.323148e-01 > 1.000000e-01 [68074]\n", + "----------------------------------------------------------------------\n", + " Component | low: 643/100000\n", + " Component | high: 68074/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=50.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000204197 [ 0.01 %]\n", + "Velocity : 0.000985691 [ 0.04 %]\n", + "Force : 0.415638 [ 16.94 %]\n", + "Coefs : 1.54666 [ 63.04 %]\n", + "Output : 0.000703297 [ 0.03 %]\n", + "Levels : 0.000116392 [ 0.00 %]\n", + "Report : 2.47e-07 [ 0.00 %]\n", + "Balance : 1.21e-07 [ 0.00 %]\n", + "Adjust : 0.489014 [ 19.93 %]\n", + "Total : 2.45334 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5858 799 290 94 101 \n", + "1 : 5866 766 326 104 80 \n", + "2 : 5820 827 322 99 74 \n", + "3 : 5887 766 329 81 79 \n", + "4 : 5841 829 297 93 82 \n", + "5 : 5890 811 282 81 78 \n", + "6 : 5873 746 363 95 65 \n", + "7 : 5862 798 294 113 75 \n", + "8 : 5892 753 315 94 88 \n", + "9 : 5854 774 310 103 101 \n", + "10 : 5890 730 333 102 87 \n", + "11 : 5853 791 302 105 91 \n", + "12 : 5850 813 310 94 75 \n", + "13 : 5871 805 300 96 82 \n", + "\n", + "T : 82107 11008 4373 1354 1158 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 4.9495e-02 sec\n", + "--- Collate = 3.0057e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.370832e-06 < 6.250000e-03 [634]\n", + "--- Max DT=7.604435e-01 > 1.000000e-01 [68086]\n", + "----------------------------------------------------------------------\n", + " Component | low: 634/100000\n", + " Component | high: 68086/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=50.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000229408 [ 0.01 %]\n", + "Velocity : 0.0012322 [ 0.04 %]\n", + "Force : 0.456518 [ 16.45 %]\n", + "Coefs : 1.72638 [ 62.23 %]\n", + "Output : 0.000752665 [ 0.03 %]\n", + "Levels : 0.000135962 [ 0.00 %]\n", + "Report : 3.06e-07 [ 0.00 %]\n", + "Balance : 1.34e-07 [ 0.00 %]\n", + "Adjust : 0.589104 [ 21.23 %]\n", + "Total : 2.77437 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5860 802 288 92 100 \n", + "1 : 5870 767 315 114 76 \n", + "2 : 5825 810 338 90 79 \n", + "3 : 5883 765 331 82 81 \n", + "4 : 5840 833 300 87 82 \n", + "5 : 5892 815 279 78 78 \n", + "6 : 5864 759 359 93 67 \n", + "7 : 5864 798 291 107 82 \n", + "8 : 5889 755 317 102 79 \n", + "9 : 5848 778 312 101 103 \n", + "10 : 5895 724 331 107 85 \n", + "11 : 5858 785 306 108 85 \n", + "12 : 5848 818 314 90 72 \n", + "13 : 5869 814 293 97 81 \n", + "\n", + "T : 82105 11023 4374 1348 1150 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.1563e-02 sec\n", + "--- Collate = 3.0120e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.051411e-06 < 6.250000e-03 [638]\n", + "--- Max DT=7.012097e-01 > 1.000000e-01 [68098]\n", + "----------------------------------------------------------------------\n", + " Component | low: 638/100000\n", + " Component | high: 68098/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=50.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00021737 [ 0.01 %]\n", + "Velocity : 0.00134741 [ 0.05 %]\n", + "Force : 0.461873 [ 16.36 %]\n", + "Coefs : 1.78648 [ 63.28 %]\n", + "Output : 0.000878619 [ 0.03 %]\n", + "Levels : 0.000167055 [ 0.01 %]\n", + "Report : 3.02e-07 [ 0.00 %]\n", + "Balance : 1.77e-07 [ 0.00 %]\n", + "Adjust : 0.572011 [ 20.26 %]\n", + "Total : 2.823 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5859 798 287 103 95 \n", + "1 : 5864 780 312 111 75 \n", + "2 : 5819 806 348 88 81 \n", + "3 : 5883 765 333 83 78 \n", + "4 : 5845 822 302 93 80 \n", + "5 : 5892 809 279 84 78 \n", + "6 : 5864 765 350 89 74 \n", + "7 : 5866 803 294 97 82 \n", + "8 : 5889 761 309 104 79 \n", + "9 : 5852 774 308 107 101 \n", + "10 : 5889 731 326 116 80 \n", + "11 : 5853 791 306 105 87 \n", + "12 : 5840 832 304 88 78 \n", + "13 : 5880 802 290 102 80 \n", + "\n", + "T : 82095 11039 4348 1370 1148 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 3.0598e-02 sec\n", + "--- Collate = 7.0170e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.126176e-06 < 6.250000e-03 [647]\n", + "--- Max DT=6.618038e-01 > 1.000000e-01 [68119]\n", + "----------------------------------------------------------------------\n", + " Component | low: 647/100000\n", + " Component | high: 68119/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=50.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000231231 [ 0.01 %]\n", + "Velocity : 0.00171009 [ 0.06 %]\n", + "Force : 0.477254 [ 16.19 %]\n", + "Coefs : 1.86025 [ 63.10 %]\n", + "Output : 0.000709045 [ 0.02 %]\n", + "Levels : 0.000131789 [ 0.00 %]\n", + "Report : 1.93e-07 [ 0.00 %]\n", + "Balance : 2.92e-07 [ 0.00 %]\n", + "Adjust : 0.607738 [ 20.61 %]\n", + "Total : 2.94805 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5854 813 282 99 94 \n", + "1 : 5868 781 308 102 83 \n", + "2 : 5821 800 350 91 80 \n", + "3 : 5886 763 331 89 73 \n", + "4 : 5844 829 291 94 84 \n", + "5 : 5900 811 261 89 81 \n", + "6 : 5861 774 344 86 77 \n", + "7 : 5864 803 297 92 86 \n", + "8 : 5891 760 312 97 82 \n", + "9 : 5849 777 315 103 98 \n", + "10 : 5885 734 322 117 84 \n", + "11 : 5852 790 307 108 85 \n", + "12 : 5841 831 304 90 76 \n", + "13 : 5874 807 287 102 84 \n", + "\n", + "T : 82090 11073 4311 1359 1167 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.8491e-02 sec\n", + "--- Collate = 5.0126e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.718324e-06 < 6.250000e-03 [658]\n", + "--- Max DT=8.159078e-01 > 1.000000e-01 [68150]\n", + "----------------------------------------------------------------------\n", + " Component | low: 658/100000\n", + " Component | high: 68150/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=50.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000347844 [ 0.01 %]\n", + "Velocity : 0.00143949 [ 0.05 %]\n", + "Force : 0.428609 [ 15.50 %]\n", + "Coefs : 1.77963 [ 64.37 %]\n", + "Output : 0.000734835 [ 0.03 %]\n", + "Levels : 0.000376662 [ 0.01 %]\n", + "Report : 6.35e-07 [ 0.00 %]\n", + "Balance : 1.36e-07 [ 0.00 %]\n", + "Adjust : 0.55355 [ 20.02 %]\n", + "Total : 2.76472 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5848 823 279 99 93 \n", + "1 : 5875 770 315 103 79 \n", + "2 : 5826 791 354 91 80 \n", + "3 : 5885 767 327 87 76 \n", + "4 : 5843 826 290 94 89 \n", + "5 : 5901 806 271 86 78 \n", + "6 : 5859 774 348 77 84 \n", + "7 : 5862 795 306 92 87 \n", + "8 : 5893 758 313 94 84 \n", + "9 : 5847 772 317 112 94 \n", + "10 : 5882 732 323 117 88 \n", + "11 : 5851 789 309 106 87 \n", + "12 : 5836 833 305 95 73 \n", + "13 : 5876 802 293 87 96 \n", + "\n", + "T : 82084 11038 4350 1340 1188 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 3.5776e-02 sec\n", + "--- Collate = 3.0231e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=6.890995e-07 < 6.250000e-03 [680]\n", + "--- Max DT=7.740604e-01 > 1.000000e-01 [68134]\n", + "----------------------------------------------------------------------\n", + " Component | low: 680/100000\n", + " Component | high: 68134/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=51] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000217277 [ 0.01 %]\n", + "Velocity : 0.00108953 [ 0.04 %]\n", + "Force : 0.466122 [ 15.98 %]\n", + "Coefs : 1.8709 [ 64.12 %]\n", + "Output : 0.0102892 [ 0.35 %]\n", + "Levels : 9.5231e-05 [ 0.00 %]\n", + "Report : 4.52e-07 [ 0.00 %]\n", + "Balance : 1.88e-07 [ 0.00 %]\n", + "Adjust : 0.569058 [ 19.50 %]\n", + "Total : 2.9178 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5854 815 288 94 91 \n", + "1 : 5875 761 319 113 74 \n", + "2 : 5815 794 352 102 79 \n", + "3 : 5882 771 320 88 81 \n", + "4 : 5840 828 294 95 85 \n", + "5 : 5902 811 268 86 75 \n", + "6 : 5850 789 335 79 89 \n", + "7 : 5860 800 306 89 87 \n", + "8 : 5894 764 307 97 80 \n", + "9 : 5847 768 317 107 103 \n", + "10 : 5885 736 313 120 88 \n", + "11 : 5850 788 309 109 86 \n", + "12 : 5836 831 308 96 71 \n", + "13 : 5874 803 297 87 93 \n", + "\n", + "T : 82064 11059 4333 1362 1182 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 32.8%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 5.6334e-02 sec\n", + "--- Collate = 8.0320e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.924217e-07 < 6.250000e-03 [678]\n", + "--- Max DT=7.450306e-01 > 1.000000e-01 [68136]\n", + "----------------------------------------------------------------------\n", + " Component | low: 678/100000\n", + " Component | high: 68136/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=51.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000208675 [ 0.01 %]\n", + "Velocity : 0.00145892 [ 0.05 %]\n", + "Force : 0.453382 [ 16.56 %]\n", + "Coefs : 1.6672 [ 60.89 %]\n", + "Output : 0.000664801 [ 0.02 %]\n", + "Levels : 0.000793989 [ 0.03 %]\n", + "Report : 1.68e-06 [ 0.00 %]\n", + "Balance : 5.92e-07 [ 0.00 %]\n", + "Adjust : 0.614526 [ 22.44 %]\n", + "Total : 2.73827 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5855 811 287 96 93 \n", + "1 : 5876 763 324 106 73 \n", + "2 : 5815 798 345 108 76 \n", + "3 : 5869 772 337 87 77 \n", + "4 : 5838 833 293 95 83 \n", + "5 : 5903 811 266 86 76 \n", + "6 : 5850 788 338 84 82 \n", + "7 : 5863 796 310 88 85 \n", + "8 : 5892 767 307 91 85 \n", + "9 : 5844 767 325 108 98 \n", + "10 : 5884 729 325 113 91 \n", + "11 : 5854 776 321 102 89 \n", + "12 : 5844 830 298 99 71 \n", + "13 : 5876 802 296 87 93 \n", + "\n", + "T : 82063 11043 4372 1350 1172 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 23.5%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 4.6153e-02 sec\n", + "--- Collate = 7.0266e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.526213e-06 < 6.250000e-03 [678]\n", + "--- Max DT=6.985246e-01 > 1.000000e-01 [68148]\n", + "----------------------------------------------------------------------\n", + " Component | low: 678/100000\n", + " Component | high: 68148/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=51.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000757292 [ 0.03 %]\n", + "Velocity : 0.00274131 [ 0.11 %]\n", + "Force : 0.450873 [ 17.80 %]\n", + "Coefs : 1.48758 [ 58.73 %]\n", + "Output : 0.00129051 [ 0.05 %]\n", + "Levels : 0.000259646 [ 0.01 %]\n", + "Report : 5.4e-07 [ 0.00 %]\n", + "Balance : 2.56e-07 [ 0.00 %]\n", + "Adjust : 0.589556 [ 23.27 %]\n", + "Total : 2.53311 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5848 818 287 103 86 \n", + "1 : 5872 778 308 110 74 \n", + "2 : 5803 814 341 111 73 \n", + "3 : 5869 772 327 99 75 \n", + "4 : 5836 837 290 95 84 \n", + "5 : 5905 811 260 92 74 \n", + "6 : 5841 795 336 92 78 \n", + "7 : 5864 793 306 87 92 \n", + "8 : 5890 773 308 82 89 \n", + "9 : 5838 768 325 112 99 \n", + "10 : 5884 731 324 108 95 \n", + "11 : 5859 770 319 101 93 \n", + "12 : 5839 836 294 101 72 \n", + "13 : 5877 805 291 87 94 \n", + "\n", + "T : 82025 11101 4316 1380 1178 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 5.1368e-02 sec\n", + "--- Collate = 6.0038e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.311533e-05 < 6.250000e-03 [682]\n", + "--- Max DT=7.725729e-01 > 1.000000e-01 [68151]\n", + "----------------------------------------------------------------------\n", + " Component | low: 682/100000\n", + " Component | high: 68151/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=51.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000508121 [ 0.02 %]\n", + "Velocity : 0.00263569 [ 0.08 %]\n", + "Force : 0.555732 [ 16.86 %]\n", + "Coefs : 1.9836 [ 60.19 %]\n", + "Output : 0.00152392 [ 0.05 %]\n", + "Levels : 0.000291578 [ 0.01 %]\n", + "Report : 5.93e-07 [ 0.00 %]\n", + "Balance : 2.57e-07 [ 0.00 %]\n", + "Adjust : 0.75114 [ 22.79 %]\n", + "Total : 3.29548 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5847 819 289 95 92 \n", + "1 : 5869 770 311 115 77 \n", + "2 : 5798 823 330 112 79 \n", + "3 : 5865 776 324 101 76 \n", + "4 : 5839 825 301 89 88 \n", + "5 : 5894 821 265 84 78 \n", + "6 : 5847 803 320 93 79 \n", + "7 : 5863 795 299 98 87 \n", + "8 : 5890 780 312 74 86 \n", + "9 : 5837 774 326 106 99 \n", + "10 : 5887 723 330 111 91 \n", + "11 : 5858 777 312 99 96 \n", + "12 : 5833 841 299 94 75 \n", + "13 : 5875 800 300 86 93 \n", + "\n", + "T : 82002 11127 4318 1357 1196 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 24.8%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 5.6471e-02 sec\n", + "--- Collate = 1.6013e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.086433e-07 < 6.250000e-03 [671]\n", + "--- Max DT=7.479458e-01 > 1.000000e-01 [68146]\n", + "----------------------------------------------------------------------\n", + " Component | low: 671/100000\n", + " Component | high: 68146/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=51.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000904222 [ 0.03 %]\n", + "Velocity : 0.00269776 [ 0.08 %]\n", + "Force : 0.598212 [ 17.56 %]\n", + "Coefs : 2.0714 [ 60.79 %]\n", + "Output : 0.00131096 [ 0.04 %]\n", + "Levels : 0.000248618 [ 0.01 %]\n", + "Report : 5.78e-07 [ 0.00 %]\n", + "Balance : 3.74e-07 [ 0.00 %]\n", + "Adjust : 0.732738 [ 21.50 %]\n", + "Total : 3.40756 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5851 816 293 97 85 \n", + "1 : 5864 769 324 105 80 \n", + "2 : 5788 827 340 109 78 \n", + "3 : 5869 772 317 109 75 \n", + "4 : 5844 819 302 95 82 \n", + "5 : 5893 821 261 83 84 \n", + "6 : 5845 804 318 91 84 \n", + "7 : 5864 788 311 100 79 \n", + "8 : 5886 782 311 76 87 \n", + "9 : 5836 778 329 96 103 \n", + "10 : 5886 715 341 109 91 \n", + "11 : 5858 777 310 102 95 \n", + "12 : 5842 836 296 91 77 \n", + "13 : 5869 797 312 86 90 \n", + "\n", + "T : 81995 11101 4365 1349 1190 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.3918e-02 sec\n", + "--- Collate = 8.0092e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.080641e-06 < 6.250000e-03 [676]\n", + "--- Max DT=6.945400e-01 > 1.000000e-01 [68136]\n", + "----------------------------------------------------------------------\n", + " Component | low: 676/100000\n", + " Component | high: 68136/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=51.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000517655 [ 0.02 %]\n", + "Velocity : 0.00237968 [ 0.07 %]\n", + "Force : 0.579883 [ 16.88 %]\n", + "Coefs : 2.14991 [ 62.58 %]\n", + "Output : 0.0013682 [ 0.04 %]\n", + "Levels : 0.000310172 [ 0.01 %]\n", + "Report : 1.117e-06 [ 0.00 %]\n", + "Balance : 3.36e-07 [ 0.00 %]\n", + "Adjust : 0.70084 [ 20.40 %]\n", + "Total : 3.43526 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5851 813 290 106 82 \n", + "1 : 5864 773 320 106 79 \n", + "2 : 5789 824 341 109 79 \n", + "3 : 5872 776 304 113 77 \n", + "4 : 5835 830 303 85 89 \n", + "5 : 5900 814 263 80 85 \n", + "6 : 5845 807 308 98 84 \n", + "7 : 5866 784 315 98 79 \n", + "8 : 5890 778 306 86 82 \n", + "9 : 5841 776 323 104 98 \n", + "10 : 5891 706 343 106 96 \n", + "11 : 5857 773 317 102 93 \n", + "12 : 5843 829 296 93 81 \n", + "13 : 5874 795 310 83 92 \n", + "\n", + "T : 82018 11078 4339 1369 1196 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.4285e-02 sec\n", + "--- Collate = 5.0264e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.544683e-07 < 6.250000e-03 [699]\n", + "--- Max DT=7.475179e-01 > 1.000000e-01 [68179]\n", + "----------------------------------------------------------------------\n", + " Component | low: 699/100000\n", + " Component | high: 68179/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=51.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000743578 [ 0.02 %]\n", + "Velocity : 0.00295984 [ 0.08 %]\n", + "Force : 0.62828 [ 17.71 %]\n", + "Coefs : 2.18843 [ 61.69 %]\n", + "Output : 0.00137032 [ 0.04 %]\n", + "Levels : 0.000296707 [ 0.01 %]\n", + "Report : 7.27e-07 [ 0.00 %]\n", + "Balance : 2.82e-07 [ 0.00 %]\n", + "Adjust : 0.725053 [ 20.44 %]\n", + "Total : 3.54718 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5854 811 294 104 79 \n", + "1 : 5856 787 312 107 80 \n", + "2 : 5786 827 337 107 85 \n", + "3 : 5878 771 301 106 86 \n", + "4 : 5844 822 300 96 80 \n", + "5 : 5894 822 257 85 84 \n", + "6 : 5839 810 309 102 82 \n", + "7 : 5869 780 305 101 87 \n", + "8 : 5888 773 308 88 85 \n", + "9 : 5845 769 320 108 100 \n", + "10 : 5887 703 346 110 96 \n", + "11 : 5861 775 317 99 90 \n", + "12 : 5833 839 299 88 83 \n", + "13 : 5869 796 312 88 89 \n", + "\n", + "T : 82003 11085 4317 1389 1206 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 26.9%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 4.3067e-02 sec\n", + "--- Collate = 8.0188e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.172173e-05 < 6.250000e-03 [708]\n", + "--- Max DT=6.869658e-01 > 1.000000e-01 [68188]\n", + "----------------------------------------------------------------------\n", + " Component | low: 708/100000\n", + " Component | high: 68188/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=51.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000775109 [ 0.02 %]\n", + "Velocity : 0.00304728 [ 0.09 %]\n", + "Force : 0.62012 [ 18.05 %]\n", + "Coefs : 2.16233 [ 62.92 %]\n", + "Output : 0.0014755 [ 0.04 %]\n", + "Levels : 0.000262232 [ 0.01 %]\n", + "Report : 6.61e-07 [ 0.00 %]\n", + "Balance : 2.78e-07 [ 0.00 %]\n", + "Adjust : 0.64833 [ 18.87 %]\n", + "Total : 3.4364 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5856 798 306 101 81 \n", + "1 : 5855 779 323 104 81 \n", + "2 : 5784 829 338 106 85 \n", + "3 : 5887 760 307 105 83 \n", + "4 : 5851 815 299 98 79 \n", + "5 : 5894 823 252 84 89 \n", + "6 : 5838 804 316 110 74 \n", + "7 : 5866 783 304 103 86 \n", + "8 : 5886 771 305 100 80 \n", + "9 : 5854 760 324 109 95 \n", + "10 : 5889 706 344 112 91 \n", + "11 : 5863 774 303 119 83 \n", + "12 : 5834 844 290 92 82 \n", + "13 : 5866 802 314 81 91 \n", + "\n", + "T : 82023 11048 4325 1424 1180 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 24.7%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 4.7060e-02 sec\n", + "--- Collate = 1.0025e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.095462e-06 < 6.250000e-03 [695]\n", + "--- Max DT=6.874942e-01 > 1.000000e-01 [68198]\n", + "----------------------------------------------------------------------\n", + " Component | low: 695/100000\n", + " Component | high: 68198/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=51.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000790058 [ 0.03 %]\n", + "Velocity : 0.0029511 [ 0.10 %]\n", + "Force : 0.509578 [ 17.89 %]\n", + "Coefs : 1.71546 [ 60.23 %]\n", + "Output : 0.0014914 [ 0.05 %]\n", + "Levels : 0.000306239 [ 0.01 %]\n", + "Report : 9.32e-07 [ 0.00 %]\n", + "Balance : 5.08e-07 [ 0.00 %]\n", + "Adjust : 0.617634 [ 21.68 %]\n", + "Total : 2.84826 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5851 796 314 96 85 \n", + "1 : 5858 776 323 99 86 \n", + "2 : 5787 826 342 101 86 \n", + "3 : 5893 755 308 109 77 \n", + "4 : 5846 820 302 95 79 \n", + "5 : 5890 819 261 83 89 \n", + "6 : 5829 815 313 104 81 \n", + "7 : 5868 772 314 97 91 \n", + "8 : 5880 778 307 95 82 \n", + "9 : 5854 761 321 110 96 \n", + "10 : 5879 719 343 116 85 \n", + "11 : 5859 780 313 107 83 \n", + "12 : 5831 841 294 91 85 \n", + "13 : 5863 810 302 88 91 \n", + "\n", + "T : 81988 11068 4357 1391 1196 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.7010e-02 sec\n", + "--- Collate = 7.0029e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.559341e-05 < 6.250000e-03 [708]\n", + "--- Max DT=6.915397e-01 > 1.000000e-01 [68219]\n", + "----------------------------------------------------------------------\n", + " Component | low: 708/100000\n", + " Component | high: 68219/100000\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=51.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000730127 [ 0.02 %]\n", + "Velocity : 0.00267151 [ 0.07 %]\n", + "Force : 0.600748 [ 16.09 %]\n", + "Coefs : 2.30184 [ 61.67 %]\n", + "Output : 0.00143352 [ 0.04 %]\n", + "Levels : 0.000333976 [ 0.01 %]\n", + "Report : 7.8e-07 [ 0.00 %]\n", + "Balance : 2.87e-07 [ 0.00 %]\n", + "Adjust : 0.824999 [ 22.10 %]\n", + "Total : 3.73281 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5857 788 316 100 81 \n", + "1 : 5857 775 329 96 85 \n", + "2 : 5789 821 336 104 92 \n", + "3 : 5896 751 314 104 77 \n", + "4 : 5842 828 299 95 78 \n", + "5 : 5892 809 267 82 92 \n", + "6 : 5835 808 313 100 86 \n", + "7 : 5870 777 306 90 99 \n", + "8 : 5883 781 304 92 82 \n", + "9 : 5859 754 318 108 103 \n", + "10 : 5875 725 333 124 85 \n", + "11 : 5856 787 306 107 86 \n", + "12 : 5834 843 292 88 85 \n", + "13 : 5863 809 306 87 89 \n", + "\n", + "T : 82008 11056 4339 1377 1220 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 6.4516e-02 sec\n", + "--- Collate = 3.5929e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.510892e-05 < 6.250000e-03 [716]\n", + "--- Max DT=7.388805e-01 > 1.000000e-01 [68222]\n", + "----------------------------------------------------------------------\n", + " Component | low: 716/100000\n", + " Component | high: 68222/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=52] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000597944 [ 0.02 %]\n", + "Velocity : 0.00646913 [ 0.18 %]\n", + "Force : 0.553213 [ 15.27 %]\n", + "Coefs : 2.32077 [ 64.07 %]\n", + "Output : 0.00584075 [ 0.16 %]\n", + "Levels : 0.000310052 [ 0.01 %]\n", + "Report : 1.129e-06 [ 0.00 %]\n", + "Balance : 7.73e-07 [ 0.00 %]\n", + "Adjust : 0.735097 [ 20.29 %]\n", + "Total : 3.62235 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5855 789 317 98 83 \n", + "1 : 5860 770 326 96 90 \n", + "2 : 5782 821 350 103 86 \n", + "3 : 5899 755 301 107 80 \n", + "4 : 5834 833 305 80 90 \n", + "5 : 5881 816 275 86 84 \n", + "6 : 5835 806 310 107 84 \n", + "7 : 5865 785 309 82 101 \n", + "8 : 5884 775 312 87 84 \n", + "9 : 5855 759 326 100 102 \n", + "10 : 5873 729 323 133 84 \n", + "11 : 5859 783 306 108 86 \n", + "12 : 5839 838 296 85 84 \n", + "13 : 5862 806 305 91 90 \n", + "\n", + "T : 81983 11065 4361 1363 1228 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 4.2145e-02 sec\n", + "--- Collate = 1.0007e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.613962e-06 < 6.250000e-03 [732]\n", + "--- Max DT=6.649184e-01 > 1.000000e-01 [68201]\n", + "----------------------------------------------------------------------\n", + " Component | low: 732/100000\n", + " Component | high: 68201/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=52.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000627043 [ 0.02 %]\n", + "Velocity : 0.00300336 [ 0.09 %]\n", + "Force : 0.507511 [ 15.42 %]\n", + "Coefs : 2.11797 [ 64.36 %]\n", + "Output : 0.00150195 [ 0.05 %]\n", + "Levels : 0.000284703 [ 0.01 %]\n", + "Report : 5.32e-07 [ 0.00 %]\n", + "Balance : 2.39e-07 [ 0.00 %]\n", + "Adjust : 0.660085 [ 20.06 %]\n", + "Total : 3.29103 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5853 787 326 93 83 \n", + "1 : 5863 764 329 96 90 \n", + "2 : 5782 815 357 101 87 \n", + "3 : 5895 751 311 103 82 \n", + "4 : 5836 838 294 76 98 \n", + "5 : 5875 826 272 89 80 \n", + "6 : 5841 797 311 102 91 \n", + "7 : 5860 795 308 74 105 \n", + "8 : 5883 777 315 82 85 \n", + "9 : 5850 767 326 101 98 \n", + "10 : 5872 733 319 134 84 \n", + "11 : 5854 791 307 106 84 \n", + "12 : 5842 837 296 82 85 \n", + "13 : 5849 820 295 95 95 \n", + "\n", + "T : 81955 11098 4366 1334 1247 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.9093e-02 sec\n", + "--- Collate = 4.0555e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.065699e-05 < 6.250000e-03 [718]\n", + "--- Max DT=6.888048e-01 > 1.000000e-01 [68191]\n", + "----------------------------------------------------------------------\n", + " Component | low: 718/100000\n", + " Component | high: 68191/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=52.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00071283 [ 0.02 %]\n", + "Velocity : 0.00298746 [ 0.09 %]\n", + "Force : 0.595126 [ 17.40 %]\n", + "Coefs : 2.13745 [ 62.51 %]\n", + "Output : 0.00140704 [ 0.04 %]\n", + "Levels : 0.00847697 [ 0.25 %]\n", + "Report : 6.21e-07 [ 0.00 %]\n", + "Balance : 2.83e-07 [ 0.00 %]\n", + "Adjust : 0.673073 [ 19.68 %]\n", + "Total : 3.41929 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5863 775 328 96 80 \n", + "1 : 5866 767 311 105 93 \n", + "2 : 5789 811 345 111 86 \n", + "3 : 5896 743 315 103 85 \n", + "4 : 5846 829 289 86 92 \n", + "5 : 5874 826 274 92 76 \n", + "6 : 5845 796 306 97 98 \n", + "7 : 5858 792 315 79 98 \n", + "8 : 5888 770 314 90 80 \n", + "9 : 5857 759 332 104 90 \n", + "10 : 5865 743 318 124 92 \n", + "11 : 5852 783 317 97 93 \n", + "12 : 5834 833 307 78 90 \n", + "13 : 5852 811 308 84 99 \n", + "\n", + "T : 81985 11038 4379 1346 1252 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 5.3202e-02 sec\n", + "--- Collate = 6.0455e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=8.000235e-07 < 6.250000e-03 [758]\n", + "--- Max DT=7.374749e-01 > 1.000000e-01 [68186]\n", + "----------------------------------------------------------------------\n", + " Component | low: 758/100000\n", + " Component | high: 68186/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=52.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000749256 [ 0.02 %]\n", + "Velocity : 0.00299472 [ 0.09 %]\n", + "Force : 0.594671 [ 18.69 %]\n", + "Coefs : 1.91507 [ 60.18 %]\n", + "Output : 0.00147902 [ 0.05 %]\n", + "Levels : 0.000502106 [ 0.02 %]\n", + "Report : 7.9e-07 [ 0.00 %]\n", + "Balance : 2.74e-07 [ 0.00 %]\n", + "Adjust : 0.666934 [ 20.96 %]\n", + "Total : 3.18245 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5858 771 341 98 74 \n", + "1 : 5860 771 312 107 92 \n", + "2 : 5783 815 348 106 90 \n", + "3 : 5892 733 327 107 83 \n", + "4 : 5849 828 287 81 97 \n", + "5 : 5873 820 292 79 78 \n", + "6 : 5844 795 309 95 99 \n", + "7 : 5862 792 307 82 99 \n", + "8 : 5887 769 314 90 82 \n", + "9 : 5850 771 326 106 89 \n", + "10 : 5859 751 321 118 93 \n", + "11 : 5851 791 315 87 98 \n", + "12 : 5834 831 314 79 84 \n", + "13 : 5848 817 299 95 95 \n", + "\n", + "T : 81950 11055 4412 1330 1253 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 4.0080e-02 sec\n", + "--- Collate = 7.0303e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.391569e-06 < 6.250000e-03 [746]\n", + "--- Max DT=6.228088e-01 > 1.000000e-01 [68221]\n", + "----------------------------------------------------------------------\n", + " Component | low: 746/100000\n", + " Component | high: 68221/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=52.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000860926 [ 0.03 %]\n", + "Velocity : 0.0030992 [ 0.10 %]\n", + "Force : 0.518984 [ 16.31 %]\n", + "Coefs : 2.07363 [ 65.18 %]\n", + "Output : 0.00151493 [ 0.05 %]\n", + "Levels : 0.000323877 [ 0.01 %]\n", + "Report : 8.68e-07 [ 0.00 %]\n", + "Balance : 2.73e-07 [ 0.00 %]\n", + "Adjust : 0.582988 [ 18.32 %]\n", + "Total : 3.18145 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5860 768 343 95 76 \n", + "1 : 5854 783 306 105 94 \n", + "2 : 5784 818 348 103 89 \n", + "3 : 5883 739 332 111 77 \n", + "4 : 5853 825 286 82 96 \n", + "5 : 5888 813 285 75 81 \n", + "6 : 5852 785 309 99 97 \n", + "7 : 5859 796 309 80 98 \n", + "8 : 5892 766 314 86 84 \n", + "9 : 5856 768 318 111 89 \n", + "10 : 5849 757 330 112 94 \n", + "11 : 5846 801 302 97 96 \n", + "12 : 5836 825 316 84 81 \n", + "13 : 5848 811 307 90 98 \n", + "\n", + "T : 81960 11055 4405 1330 1250 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 3.5%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 5.5124e-02 sec\n", + "--- Collate = 1.2028e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.981909e-06 < 6.250000e-03 [738]\n", + "--- Max DT=6.643057e-01 > 1.000000e-01 [68251]\n", + "----------------------------------------------------------------------\n", + " Component | low: 738/100000\n", + " Component | high: 68251/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=52.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000603432 [ 0.02 %]\n", + "Velocity : 0.00412733 [ 0.12 %]\n", + "Force : 0.556992 [ 16.39 %]\n", + "Coefs : 2.09587 [ 61.67 %]\n", + "Output : 0.00159348 [ 0.05 %]\n", + "Levels : 0.000269626 [ 0.01 %]\n", + "Report : 1.258e-06 [ 0.00 %]\n", + "Balance : 4.23e-07 [ 0.00 %]\n", + "Adjust : 0.738815 [ 21.74 %]\n", + "Total : 3.39832 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5856 772 344 89 81 \n", + "1 : 5853 779 309 107 94 \n", + "2 : 5783 812 358 103 86 \n", + "3 : 5886 736 330 112 78 \n", + "4 : 5846 827 294 81 94 \n", + "5 : 5888 814 280 77 83 \n", + "6 : 5846 789 312 106 89 \n", + "7 : 5856 794 308 90 94 \n", + "8 : 5888 765 315 86 88 \n", + "9 : 5851 775 321 98 97 \n", + "10 : 5839 764 325 119 95 \n", + "11 : 5847 798 305 94 98 \n", + "12 : 5837 823 315 84 83 \n", + "13 : 5848 807 313 90 96 \n", + "\n", + "T : 81924 11055 4429 1336 1256 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 6.3210e-02 sec\n", + "--- Collate = 1.3024e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.973414e-06 < 6.250000e-03 [745]\n", + "--- Max DT=6.347239e-01 > 1.000000e-01 [68303]\n", + "----------------------------------------------------------------------\n", + " Component | low: 745/100000\n", + " Component | high: 68303/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=52.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00133962 [ 0.04 %]\n", + "Velocity : 0.00281091 [ 0.07 %]\n", + "Force : 0.629866 [ 16.63 %]\n", + "Coefs : 2.36436 [ 62.43 %]\n", + "Output : 0.0015015 [ 0.04 %]\n", + "Levels : 0.000298051 [ 0.01 %]\n", + "Report : 7.43e-07 [ 0.00 %]\n", + "Balance : 2.91e-07 [ 0.00 %]\n", + "Adjust : 0.787071 [ 20.78 %]\n", + "Total : 3.7873 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5854 779 336 86 87 \n", + "1 : 5853 778 313 109 89 \n", + "2 : 5785 811 363 100 83 \n", + "3 : 5886 736 326 116 78 \n", + "4 : 5841 829 295 84 93 \n", + "5 : 5887 821 269 90 75 \n", + "6 : 5848 779 324 100 91 \n", + "7 : 5860 797 295 102 88 \n", + "8 : 5884 774 307 87 90 \n", + "9 : 5853 771 327 94 97 \n", + "10 : 5839 770 315 120 98 \n", + "11 : 5835 809 301 101 96 \n", + "12 : 5844 807 329 81 81 \n", + "13 : 5859 786 326 83 100 \n", + "\n", + "T : 81928 11047 4426 1353 1246 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 7.7370e-02 sec\n", + "--- Collate = 1.3042e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.590301e-06 < 6.250000e-03 [738]\n", + "--- Max DT=5.883358e-01 > 1.000000e-01 [68315]\n", + "----------------------------------------------------------------------\n", + " Component | low: 738/100000\n", + " Component | high: 68315/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=52.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000802721 [ 0.02 %]\n", + "Velocity : 0.0057933 [ 0.16 %]\n", + "Force : 0.645678 [ 17.48 %]\n", + "Coefs : 2.14582 [ 58.09 %]\n", + "Output : 0.00155211 [ 0.04 %]\n", + "Levels : 0.000332612 [ 0.01 %]\n", + "Report : 1.202e-06 [ 0.00 %]\n", + "Balance : 5.44e-07 [ 0.00 %]\n", + "Adjust : 0.893633 [ 24.19 %]\n", + "Total : 3.69367 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5852 781 332 97 80 \n", + "1 : 5848 783 317 103 91 \n", + "2 : 5781 819 356 102 84 \n", + "3 : 5881 747 321 111 82 \n", + "4 : 5848 827 288 82 97 \n", + "5 : 5885 824 264 95 74 \n", + "6 : 5855 766 321 104 96 \n", + "7 : 5861 791 308 95 87 \n", + "8 : 5886 774 296 97 89 \n", + "9 : 5851 781 314 103 93 \n", + "10 : 5846 767 312 126 91 \n", + "11 : 5843 788 312 101 98 \n", + "12 : 5855 789 336 85 77 \n", + "13 : 5856 790 324 86 98 \n", + "\n", + "T : 81948 11027 4401 1387 1237 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 3.6295e-02 sec\n", + "--- Collate = 7.0223e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.813183e-05 < 6.250000e-03 [713]\n", + "--- Max DT=6.405446e-01 > 1.000000e-01 [68327]\n", + "----------------------------------------------------------------------\n", + " Component | low: 713/100000\n", + " Component | high: 68327/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=52.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000700656 [ 0.02 %]\n", + "Velocity : 0.00312435 [ 0.10 %]\n", + "Force : 0.613614 [ 19.03 %]\n", + "Coefs : 1.96441 [ 60.91 %]\n", + "Output : 0.00151227 [ 0.05 %]\n", + "Levels : 0.000262442 [ 0.01 %]\n", + "Report : 5.07e-07 [ 0.00 %]\n", + "Balance : 2.78e-07 [ 0.00 %]\n", + "Adjust : 0.641531 [ 19.89 %]\n", + "Total : 3.22521 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5845 787 324 107 79 \n", + "1 : 5846 790 311 104 91 \n", + "2 : 5788 818 346 106 84 \n", + "3 : 5873 763 315 106 85 \n", + "4 : 5846 818 303 81 94 \n", + "5 : 5884 821 262 100 75 \n", + "6 : 5862 756 321 107 96 \n", + "7 : 5868 781 313 93 87 \n", + "8 : 5887 772 296 99 88 \n", + "9 : 5852 780 316 98 96 \n", + "10 : 5848 763 310 130 91 \n", + "11 : 5837 789 313 107 96 \n", + "12 : 5857 794 325 90 76 \n", + "13 : 5856 792 320 95 91 \n", + "\n", + "T : 81949 11024 4375 1423 1229 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 4.0408e-02 sec\n", + "--- Collate = 8.0230e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.104635e-06 < 6.250000e-03 [708]\n", + "--- Max DT=6.604921e-01 > 1.000000e-01 [68327]\n", + "----------------------------------------------------------------------\n", + " Component | low: 708/100000\n", + " Component | high: 68327/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=52.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000843876 [ 0.03 %]\n", + "Velocity : 0.00299631 [ 0.10 %]\n", + "Force : 0.585166 [ 18.98 %]\n", + "Coefs : 1.8208 [ 59.06 %]\n", + "Output : 0.00140275 [ 0.05 %]\n", + "Levels : 0.0089353 [ 0.29 %]\n", + "Report : 8.79e-07 [ 0.00 %]\n", + "Balance : 3.61e-07 [ 0.00 %]\n", + "Adjust : 0.662624 [ 21.49 %]\n", + "Total : 3.08283 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5837 792 325 111 77 \n", + "1 : 5843 790 323 89 97 \n", + "2 : 5787 815 345 104 91 \n", + "3 : 5880 759 315 97 91 \n", + "4 : 5847 816 295 84 100 \n", + "5 : 5881 821 261 104 75 \n", + "6 : 5859 761 320 98 104 \n", + "7 : 5866 780 319 90 87 \n", + "8 : 5877 772 310 102 81 \n", + "9 : 5841 783 321 97 100 \n", + "10 : 5848 764 314 122 94 \n", + "11 : 5837 793 306 111 95 \n", + "12 : 5858 785 331 91 77 \n", + "13 : 5859 783 315 107 90 \n", + "\n", + "T : 81920 11014 4400 1407 1259 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 23.9%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 4.2434e-02 sec\n", + "--- Collate = 7.0179e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.492307e-06 < 6.250000e-03 [736]\n", + "--- Max DT=6.620146e-01 > 1.000000e-01 [68358]\n", + "----------------------------------------------------------------------\n", + " Component | low: 736/100000\n", + " Component | high: 68358/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=53] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000482084 [ 0.01 %]\n", + "Velocity : 0.0024504 [ 0.08 %]\n", + "Force : 0.611709 [ 19.03 %]\n", + "Coefs : 1.91764 [ 59.66 %]\n", + "Output : 0.00979787 [ 0.30 %]\n", + "Levels : 0.000231031 [ 0.01 %]\n", + "Report : 1.03e-06 [ 0.00 %]\n", + "Balance : 4.97e-07 [ 0.00 %]\n", + "Adjust : 0.671999 [ 20.91 %]\n", + "Total : 3.21436 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5829 795 322 108 88 \n", + "1 : 5843 786 328 88 97 \n", + "2 : 5790 806 340 114 92 \n", + "3 : 5872 766 317 94 93 \n", + "4 : 5848 818 291 90 95 \n", + "5 : 5887 811 269 95 80 \n", + "6 : 5863 754 326 101 98 \n", + "7 : 5865 793 310 90 84 \n", + "8 : 5872 776 307 102 85 \n", + "9 : 5844 782 323 97 96 \n", + "10 : 5852 771 304 120 95 \n", + "11 : 5837 792 301 119 93 \n", + "12 : 5854 791 328 91 78 \n", + "13 : 5858 782 321 107 86 \n", + "\n", + "T : 81914 11023 4387 1416 1260 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 5.5408e-02 sec\n", + "--- Collate = 6.0339e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.638685e-07 < 6.250000e-03 [742]\n", + "--- Max DT=6.430126e-01 > 1.000000e-01 [68355]\n", + "----------------------------------------------------------------------\n", + " Component | low: 742/100000\n", + " Component | high: 68355/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=53.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.0030292 [ 0.09 %]\n", + "Velocity : 0.0023778 [ 0.07 %]\n", + "Force : 0.54105 [ 16.24 %]\n", + "Coefs : 2.08211 [ 62.48 %]\n", + "Output : 0.00155713 [ 0.05 %]\n", + "Levels : 0.000296961 [ 0.01 %]\n", + "Report : 1.03e-06 [ 0.00 %]\n", + "Balance : 3.55e-07 [ 0.00 %]\n", + "Adjust : 0.701787 [ 21.06 %]\n", + "Total : 3.33226 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5834 784 329 108 87 \n", + "1 : 5839 792 326 101 84 \n", + "2 : 5796 792 351 108 95 \n", + "3 : 5878 753 320 94 97 \n", + "4 : 5850 812 289 101 90 \n", + "5 : 5893 805 273 93 78 \n", + "6 : 5855 754 338 98 97 \n", + "7 : 5868 787 310 98 79 \n", + "8 : 5868 782 305 97 90 \n", + "9 : 5844 786 321 90 101 \n", + "10 : 5850 774 306 117 95 \n", + "11 : 5838 793 302 110 99 \n", + "12 : 5854 798 312 96 82 \n", + "13 : 5854 785 324 96 95 \n", + "\n", + "T : 81921 10997 4406 1407 1269 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 7.5328e-02 sec\n", + "--- Collate = 2.0302e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.546842e-05 < 6.250000e-03 [749]\n", + "--- Max DT=6.234461e-01 > 1.000000e-01 [68364]\n", + "----------------------------------------------------------------------\n", + " Component | low: 749/100000\n", + " Component | high: 68364/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=53.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000578888 [ 0.02 %]\n", + "Velocity : 0.00259242 [ 0.07 %]\n", + "Force : 0.622772 [ 17.27 %]\n", + "Coefs : 2.20407 [ 61.13 %]\n", + "Output : 0.00117874 [ 0.03 %]\n", + "Levels : 0.000287929 [ 0.01 %]\n", + "Report : 5.9e-07 [ 0.00 %]\n", + "Balance : 2.34e-07 [ 0.00 %]\n", + "Adjust : 0.774136 [ 21.47 %]\n", + "Total : 3.60566 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5834 788 323 105 92 \n", + "1 : 5838 791 328 104 81 \n", + "2 : 5799 791 343 114 95 \n", + "3 : 5880 748 326 89 99 \n", + "4 : 5847 814 295 91 95 \n", + "5 : 5890 805 271 98 78 \n", + "6 : 5854 750 350 95 93 \n", + "7 : 5864 793 309 97 79 \n", + "8 : 5866 789 290 110 87 \n", + "9 : 5842 791 311 100 98 \n", + "10 : 5850 777 308 106 101 \n", + "11 : 5839 786 301 112 104 \n", + "12 : 5856 796 304 99 87 \n", + "13 : 5857 778 326 97 96 \n", + "\n", + "T : 81916 10997 4385 1417 1285 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 5.4154e-02 sec\n", + "--- Collate = 3.0135e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.243767e-07 < 6.250000e-03 [751]\n", + "--- Max DT=5.913669e-01 > 1.000000e-01 [68355]\n", + "----------------------------------------------------------------------\n", + " Component | low: 751/100000\n", + " Component | high: 68355/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=53.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000507466 [ 0.01 %]\n", + "Velocity : 0.00271771 [ 0.08 %]\n", + "Force : 0.54949 [ 16.21 %]\n", + "Coefs : 2.14362 [ 63.25 %]\n", + "Output : 0.00146379 [ 0.04 %]\n", + "Levels : 0.000333741 [ 0.01 %]\n", + "Report : 8.11e-07 [ 0.00 %]\n", + "Balance : 2.87e-07 [ 0.00 %]\n", + "Adjust : 0.691064 [ 20.39 %]\n", + "Total : 3.38925 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5821 804 318 105 94 \n", + "1 : 5836 794 324 108 80 \n", + "2 : 5800 798 338 116 90 \n", + "3 : 5878 752 318 92 102 \n", + "4 : 5845 814 297 92 94 \n", + "5 : 5895 795 278 98 76 \n", + "6 : 5855 743 350 104 90 \n", + "7 : 5866 800 296 96 84 \n", + "8 : 5866 781 300 102 93 \n", + "9 : 5839 790 311 105 97 \n", + "10 : 5854 766 314 109 99 \n", + "11 : 5833 791 306 112 100 \n", + "12 : 5857 791 310 99 85 \n", + "13 : 5856 780 318 102 98 \n", + "\n", + "T : 81901 10999 4378 1440 1282 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 5.4477e-02 sec\n", + "--- Collate = 7.7068e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.151987e-07 < 6.250000e-03 [774]\n", + "--- Max DT=5.970350e-01 > 1.000000e-01 [68364]\n", + "----------------------------------------------------------------------\n", + " Component | low: 774/100000\n", + " Component | high: 68364/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=53.4] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00106521 [ 0.03 %]\n", + "Velocity : 0.00233773 [ 0.07 %]\n", + "Force : 0.569905 [ 17.02 %]\n", + "Coefs : 2.1146 [ 63.14 %]\n", + "Output : 0.00150327 [ 0.04 %]\n", + "Levels : 0.000266793 [ 0.01 %]\n", + "Report : 8.85e-07 [ 0.00 %]\n", + "Balance : 3.17e-07 [ 0.00 %]\n", + "Adjust : 0.659569 [ 19.69 %]\n", + "Total : 3.3493 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5818 808 325 93 98 \n", + "1 : 5828 812 314 111 77 \n", + "2 : 5796 807 334 112 93 \n", + "3 : 5872 759 321 91 99 \n", + "4 : 5850 803 301 94 94 \n", + "5 : 5898 791 281 93 79 \n", + "6 : 5850 747 346 108 91 \n", + "7 : 5866 803 295 85 93 \n", + "8 : 5865 783 294 115 85 \n", + "9 : 5842 790 305 111 94 \n", + "10 : 5848 773 309 112 100 \n", + "11 : 5834 789 310 93 116 \n", + "12 : 5858 789 313 88 94 \n", + "13 : 5861 770 319 97 107 \n", + "\n", + "T : 81886 11024 4367 1403 1320 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 2.1%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 5.1300e-02 sec\n", + "--- Collate = 2.9392e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.750942e-06 < 6.250000e-03 [787]\n", + "--- Max DT=6.027108e-01 > 1.000000e-01 [68373]\n", + "----------------------------------------------------------------------\n", + " Component | low: 787/100000\n", + " Component | high: 68373/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=53.5] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00129896 [ 0.04 %]\n", + "Velocity : 0.00390016 [ 0.11 %]\n", + "Force : 0.613299 [ 17.19 %]\n", + "Coefs : 2.20454 [ 61.79 %]\n", + "Output : 0.00145432 [ 0.04 %]\n", + "Levels : 0.000268634 [ 0.01 %]\n", + "Report : 8.48e-07 [ 0.00 %]\n", + "Balance : 2.66e-07 [ 0.00 %]\n", + "Adjust : 0.742819 [ 20.82 %]\n", + "Total : 3.56763 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5817 798 339 88 100 \n", + "1 : 5831 807 320 101 83 \n", + "2 : 5802 801 348 101 90 \n", + "3 : 5873 752 323 99 95 \n", + "4 : 5858 796 299 93 96 \n", + "5 : 5898 788 283 86 87 \n", + "6 : 5854 743 348 103 94 \n", + "7 : 5865 800 295 85 97 \n", + "8 : 5863 779 302 110 88 \n", + "9 : 5845 783 310 108 96 \n", + "10 : 5852 768 312 108 102 \n", + "11 : 5839 783 310 94 116 \n", + "12 : 5860 784 316 85 97 \n", + "13 : 5850 775 315 105 109 \n", + "\n", + "T : 81907 10957 4420 1366 1350 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 31.6%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 6.4280e-02 sec\n", + "--- Collate = 1.6047e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.668390e-07 < 6.250000e-03 [802]\n", + "--- Max DT=6.083945e-01 > 1.000000e-01 [68395]\n", + "----------------------------------------------------------------------\n", + " Component | low: 802/100000\n", + " Component | high: 68395/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=53.6] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00048499 [ 0.01 %]\n", + "Velocity : 0.00243434 [ 0.07 %]\n", + "Force : 0.639911 [ 18.81 %]\n", + "Coefs : 2.00409 [ 58.93 %]\n", + "Output : 0.000863001 [ 0.03 %]\n", + "Levels : 0.000221394 [ 0.01 %]\n", + "Report : 7.62e-07 [ 0.00 %]\n", + "Balance : 3.76e-07 [ 0.00 %]\n", + "Adjust : 0.75303 [ 22.14 %]\n", + "Total : 3.40108 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5820 801 329 100 92 \n", + "1 : 5834 805 318 102 83 \n", + "2 : 5794 806 343 109 90 \n", + "3 : 5869 755 319 106 93 \n", + "4 : 5858 797 297 91 99 \n", + "5 : 5904 782 283 87 86 \n", + "6 : 5845 755 348 100 94 \n", + "7 : 5860 808 291 88 95 \n", + "8 : 5854 785 302 111 90 \n", + "9 : 5836 792 303 116 95 \n", + "10 : 5851 768 308 105 110 \n", + "11 : 5846 767 310 105 114 \n", + "12 : 5866 784 308 89 95 \n", + "13 : 5845 782 311 109 107 \n", + "\n", + "T : 81882 10987 4370 1418 1343 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 29.3%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 5.5622e-02 sec\n", + "--- Collate = 1.1037e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=4.583986e-06 < 6.250000e-03 [808]\n", + "--- Max DT=6.140859e-01 > 1.000000e-01 [68404]\n", + "----------------------------------------------------------------------\n", + " Component | low: 808/100000\n", + " Component | high: 68404/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=53.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00041408 [ 0.01 %]\n", + "Velocity : 0.00200621 [ 0.06 %]\n", + "Force : 0.508666 [ 16.05 %]\n", + "Coefs : 1.92326 [ 60.70 %]\n", + "Output : 0.00125623 [ 0.04 %]\n", + "Levels : 0.000489421 [ 0.02 %]\n", + "Report : 1.337e-06 [ 0.00 %]\n", + "Balance : 4.33e-07 [ 0.00 %]\n", + "Adjust : 0.732205 [ 23.11 %]\n", + "Total : 3.16835 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5821 804 323 99 95 \n", + "1 : 5836 803 316 103 84 \n", + "2 : 5801 798 346 104 93 \n", + "3 : 5865 764 317 99 97 \n", + "4 : 5857 796 302 96 91 \n", + "5 : 5902 788 284 87 81 \n", + "6 : 5845 761 343 96 97 \n", + "7 : 5858 807 289 95 93 \n", + "8 : 5860 778 308 104 92 \n", + "9 : 5836 788 313 108 97 \n", + "10 : 5852 764 311 100 115 \n", + "11 : 5844 767 308 110 113 \n", + "12 : 5860 793 302 93 94 \n", + "13 : 5844 783 310 111 106 \n", + "\n", + "T : 81881 10994 4372 1405 1348 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 28.3%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 6.3588e-02 sec\n", + "--- Collate = 7.0104e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.044868e-06 < 6.250000e-03 [786]\n", + "--- Max DT=6.197850e-01 > 1.000000e-01 [68423]\n", + "----------------------------------------------------------------------\n", + " Component | low: 786/100000\n", + " Component | high: 68423/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=53.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000555166 [ 0.02 %]\n", + "Velocity : 0.002718 [ 0.08 %]\n", + "Force : 0.599037 [ 17.32 %]\n", + "Coefs : 2.11379 [ 61.12 %]\n", + "Output : 0.00147485 [ 0.04 %]\n", + "Levels : 0.00027387 [ 0.01 %]\n", + "Report : 1.269e-06 [ 0.00 %]\n", + "Balance : 6.18e-07 [ 0.00 %]\n", + "Adjust : 0.740243 [ 21.41 %]\n", + "Total : 3.45814 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5822 800 319 105 96 \n", + "1 : 5838 798 320 98 88 \n", + "2 : 5802 800 343 99 98 \n", + "3 : 5863 760 322 99 98 \n", + "4 : 5859 789 310 92 92 \n", + "5 : 5899 783 293 81 86 \n", + "6 : 5836 768 344 95 99 \n", + "7 : 5861 802 303 91 85 \n", + "8 : 5860 776 316 97 93 \n", + "9 : 5839 784 317 103 99 \n", + "10 : 5860 755 317 97 113 \n", + "11 : 5844 772 306 111 109 \n", + "12 : 5862 793 298 91 98 \n", + "13 : 5845 780 310 114 105 \n", + "\n", + "T : 81890 10960 4418 1373 1359 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 5.3259e-02 sec\n", + "--- Collate = 2.0443e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=7.858097e-07 < 6.250000e-03 [810]\n", + "--- Max DT=6.254916e-01 > 1.000000e-01 [68440]\n", + "----------------------------------------------------------------------\n", + " Component | low: 810/100000\n", + " Component | high: 68440/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=53.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00094139 [ 0.03 %]\n", + "Velocity : 0.00225474 [ 0.07 %]\n", + "Force : 0.568328 [ 16.71 %]\n", + "Coefs : 2.08959 [ 61.45 %]\n", + "Output : 0.00114289 [ 0.03 %]\n", + "Levels : 0.00024089 [ 0.01 %]\n", + "Report : 5.91e-07 [ 0.00 %]\n", + "Balance : 2.57e-07 [ 0.00 %]\n", + "Adjust : 0.737998 [ 21.70 %]\n", + "Total : 3.40055 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5817 796 323 106 100 \n", + "1 : 5839 797 320 101 85 \n", + "2 : 5804 798 344 95 101 \n", + "3 : 5866 758 320 100 98 \n", + "4 : 5860 788 308 99 87 \n", + "5 : 5897 785 294 86 80 \n", + "6 : 5842 762 344 101 93 \n", + "7 : 5861 799 306 88 88 \n", + "8 : 5863 772 313 102 92 \n", + "9 : 5833 790 309 103 107 \n", + "10 : 5858 758 320 90 116 \n", + "11 : 5844 770 308 104 116 \n", + "12 : 5856 798 303 89 96 \n", + "13 : 5842 775 318 110 109 \n", + "\n", + "T : 81882 10946 4430 1374 1368 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 5.1670e-02 sec\n", + "--- Collate = 1.0045e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.410356e-07 < 6.250000e-03 [788]\n", + "--- Max DT=6.312059e-01 > 1.000000e-01 [68457]\n", + "----------------------------------------------------------------------\n", + " Component | low: 788/100000\n", + " Component | high: 68457/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=54] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.00752756 [ 0.21 %]\n", + "Velocity : 0.00196731 [ 0.06 %]\n", + "Force : 0.556845 [ 15.82 %]\n", + "Coefs : 2.24669 [ 63.83 %]\n", + "Output : 0.0117182 [ 0.33 %]\n", + "Levels : 0.00024414 [ 0.01 %]\n", + "Report : 1.107e-06 [ 0.00 %]\n", + "Balance : 6.15e-07 [ 0.00 %]\n", + "Adjust : 0.694549 [ 19.73 %]\n", + "Total : 3.51959 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5818 793 328 110 93 \n", + "1 : 5833 805 310 106 88 \n", + "2 : 5801 794 342 107 98 \n", + "3 : 5860 753 331 99 99 \n", + "4 : 5858 787 314 96 87 \n", + "5 : 5893 787 296 80 86 \n", + "6 : 5837 753 354 106 92 \n", + "7 : 5867 794 314 79 88 \n", + "8 : 5860 783 301 106 92 \n", + "9 : 5834 796 305 105 102 \n", + "10 : 5860 752 322 95 113 \n", + "11 : 5837 785 300 108 112 \n", + "12 : 5847 807 310 83 95 \n", + "13 : 5837 784 314 111 108 \n", + "\n", + "T : 81842 10973 4441 1391 1353 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 4.5362e-02 sec\n", + "--- Collate = 7.0216e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.294928e-06 < 6.250000e-03 [822]\n", + "--- Max DT=6.369275e-01 > 1.000000e-01 [68478]\n", + "----------------------------------------------------------------------\n", + " Component | low: 822/100000\n", + " Component | high: 68478/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=54.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000407517 [ 0.01 %]\n", + "Velocity : 0.00199682 [ 0.05 %]\n", + "Force : 0.649288 [ 17.39 %]\n", + "Coefs : 2.33583 [ 62.55 %]\n", + "Output : 0.000831695 [ 0.02 %]\n", + "Levels : 0.000263508 [ 0.01 %]\n", + "Report : 8.09e-07 [ 0.00 %]\n", + "Balance : 4.72e-07 [ 0.00 %]\n", + "Adjust : 0.745921 [ 19.97 %]\n", + "Total : 3.73459 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5818 797 326 110 91 \n", + "1 : 5843 787 323 99 90 \n", + "2 : 5802 792 343 109 96 \n", + "3 : 5865 748 332 103 94 \n", + "4 : 5865 774 329 84 90 \n", + "5 : 5892 785 299 83 83 \n", + "6 : 5840 751 348 107 96 \n", + "7 : 5859 802 309 93 79 \n", + "8 : 5852 791 301 106 92 \n", + "9 : 5833 795 304 110 100 \n", + "10 : 5851 763 322 97 109 \n", + "11 : 5838 773 313 96 122 \n", + "12 : 5849 799 311 96 87 \n", + "13 : 5839 775 319 113 108 \n", + "\n", + "T : 81846 10932 4479 1406 1337 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 4.1355e-02 sec\n", + "--- Collate = 1.1024e-02 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=9.447681e-07 < 6.250000e-03 [828]\n", + "--- Max DT=6.426567e-01 > 1.000000e-01 [68495]\n", + "----------------------------------------------------------------------\n", + " Component | low: 828/100000\n", + " Component | high: 68495/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=54.2] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000639768 [ 0.02 %]\n", + "Velocity : 0.00216521 [ 0.06 %]\n", + "Force : 0.620316 [ 16.24 %]\n", + "Coefs : 2.48692 [ 65.11 %]\n", + "Output : 0.000849651 [ 0.02 %]\n", + "Levels : 0.000276477 [ 0.01 %]\n", + "Report : 1.162e-06 [ 0.00 %]\n", + "Balance : 3.51e-07 [ 0.00 %]\n", + "Adjust : 0.708064 [ 18.54 %]\n", + "Total : 3.81928 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5818 795 320 116 93 \n", + "1 : 5850 777 324 98 93 \n", + "2 : 5795 794 347 106 100 \n", + "3 : 5860 753 326 108 95 \n", + "4 : 5867 765 332 92 86 \n", + "5 : 5899 772 308 79 84 \n", + "6 : 5837 749 341 116 99 \n", + "7 : 5856 797 314 94 81 \n", + "8 : 5866 774 304 108 90 \n", + "9 : 5833 790 311 100 108 \n", + "10 : 5846 766 329 91 110 \n", + "11 : 5832 770 328 96 116 \n", + "12 : 5846 799 313 100 84 \n", + "13 : 5846 770 306 119 113 \n", + "\n", + "T : 81851 10871 4503 1423 1352 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 3.6708e-02 sec\n", + "--- Collate = 1.0233e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.111846e-05 < 6.250000e-03 [817]\n", + "--- Max DT=6.483933e-01 > 1.000000e-01 [68512]\n", + "----------------------------------------------------------------------\n", + " Component | low: 817/100000\n", + " Component | high: 68512/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=54.3] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000543615 [ 0.02 %]\n", + "Velocity : 0.00173524 [ 0.05 %]\n", + "Force : 0.634981 [ 17.57 %]\n", + "Coefs : 2.24453 [ 62.12 %]\n", + "Output : 0.00108374 [ 0.03 %]\n", + "Levels : 0.000135448 [ 0.00 %]\n", + "Report : 7.34e-07 [ 0.00 %]\n", + "Balance : 1.72e-07 [ 0.00 %]\n", + "Adjust : 0.730044 [ 20.21 %]\n", + "Total : 3.61309 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6056 699 216 86 85 \n", - "1 : 6071 699 218 79 75 \n", - "2 : 6033 720 224 79 86 \n", - "3 : 6029 715 238 80 80 \n", - "4 : 6003 706 258 80 95 \n", - "5 : 6044 720 226 81 71 \n", - "6 : 6028 711 246 85 72 \n", - "7 : 6035 713 236 79 79 \n", - "8 : 6091 690 207 86 68 \n", - "9 : 6031 692 240 80 99 \n", - "10 : 6067 663 264 77 71 \n", - "11 : 6023 701 258 95 65 \n", - "12 : 6024 720 226 84 88 \n", - "13 : 6057 720 217 89 71 \n", + "0 : 5815 787 326 113 101 \n", + "1 : 5854 769 327 97 95 \n", + "2 : 5796 794 345 108 99 \n", + "3 : 5863 752 322 103 102 \n", + "4 : 5872 762 328 94 86 \n", + "5 : 5896 768 310 87 81 \n", + "6 : 5839 752 334 118 99 \n", + "7 : 5859 788 320 87 88 \n", + "8 : 5866 766 311 102 97 \n", + "9 : 5829 797 314 93 109 \n", + "10 : 5855 750 330 94 113 \n", + "11 : 5837 761 329 99 116 \n", + "12 : 5837 802 317 93 93 \n", + "13 : 5856 758 308 120 112 \n", "\n", - "T : 84592 9869 3274 1160 1105 [100000]\n", + "T : 81874 10806 4521 1408 1391 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.6%\n", + "--- Coef/DT = 1.3%\n", "--- Adj/Tot = 1.6%\n", - "--- Update = 1.4142e-02 sec\n", - "--- Collate = 1.3551e-04 sec\n", + "--- Update = 3.7600e-02 sec\n", + "--- Collate = 5.0168e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.178425e-06 < 6.250000e-03 [634]\n", - "--- Max DT=4.325745e-01 > 1.000000e-01 [67340]\n", + "--- Min DT=1.010854e-05 < 6.250000e-03 [842]\n", + "--- Max DT=6.541371e-01 > 1.000000e-01 [68526]\n", "----------------------------------------------------------------------\n", - " Component | low: 634/100000\n", - " Component | high: 67340/100000\n", + " Component | low: 842/100000\n", + " Component | high: 68526/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", - "--- Timer info [T=54.9] ----------------------------------------------\n", + "--- Timer info [T=54.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000802384 [ 0.46 %]\n", - "Velocity : 0.00259974 [ 1.49 %]\n", - "Force : 0.0628239 [ 36.11 %]\n", - "Coefs : 0.027726 [ 15.94 %]\n", - "Output : 0.00152766 [ 0.88 %]\n", - "Levels : 0.000248367 [ 0.14 %]\n", - "Report : 1.051e-06 [ 0.00 %]\n", - "Balance : 4.73e-07 [ 0.00 %]\n", - "Adjust : 0.0781871 [ 44.94 %]\n", - "Total : 0.173974 [100.00 %]\n", + "Drift : 0.000251862 [ 0.01 %]\n", + "Velocity : 0.00122788 [ 0.04 %]\n", + "Force : 0.470943 [ 16.06 %]\n", + "Coefs : 1.88644 [ 64.35 %]\n", + "Output : 0.000741928 [ 0.03 %]\n", + "Levels : 0.000166646 [ 0.01 %]\n", + "Report : 3.65e-07 [ 0.00 %]\n", + "Balance : 3.02e-07 [ 0.00 %]\n", + "Adjust : 0.571813 [ 19.51 %]\n", + "Total : 2.93161 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6056 696 221 82 87 \n", - "1 : 6065 704 219 78 76 \n", - "2 : 6034 719 223 86 80 \n", - "3 : 6026 715 245 76 80 \n", - "4 : 5994 717 250 92 89 \n", - "5 : 6036 730 226 78 72 \n", - "6 : 6028 718 237 87 72 \n", - "7 : 6032 710 242 78 80 \n", - "8 : 6089 694 212 78 69 \n", - "9 : 6022 697 249 76 98 \n", - "10 : 6059 678 252 82 71 \n", - "11 : 6013 715 252 99 63 \n", - "12 : 6015 724 232 90 81 \n", - "13 : 6063 712 216 89 74 \n", + "0 : 5813 784 327 116 102 \n", + "1 : 5856 760 332 103 91 \n", + "2 : 5793 801 344 108 96 \n", + "3 : 5862 757 315 105 103 \n", + "4 : 5874 761 331 87 89 \n", + "5 : 5891 767 310 92 82 \n", + "6 : 5841 758 326 118 99 \n", + "7 : 5859 784 325 92 82 \n", + "8 : 5869 762 314 95 102 \n", + "9 : 5829 801 311 94 107 \n", + "10 : 5846 761 327 101 107 \n", + "11 : 5838 760 323 108 113 \n", + "12 : 5830 807 321 90 94 \n", + "13 : 5853 742 330 112 117 \n", "\n", - "T : 84532 9929 3276 1171 1092 [100000]\n", + "T : 81854 10805 4536 1421 1384 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 1.4%\n", - "--- Update = 1.3106e-02 sec\n", - "--- Collate = 9.8045e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 6.0701e-02 sec\n", + "--- Collate = 3.0169e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.924425e-06 < 6.250000e-03 [633]\n", - "--- Max DT=4.379374e-01 > 1.000000e-01 [67305]\n", + "--- Min DT=1.321835e-06 < 6.250000e-03 [868]\n", + "--- Max DT=6.598883e-01 > 1.000000e-01 [68540]\n", "----------------------------------------------------------------------\n", - " Component | low: 633/100000\n", - " Component | high: 67305/100000\n", + " Component | low: 868/100000\n", + " Component | high: 68540/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", - "--- Timer info [T=55] ------------------------------------------------\n", + "--- Timer info [T=54.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000696288 [ 0.34 %]\n", - "Velocity : 0.00242169 [ 1.19 %]\n", - "Force : 0.0668682 [ 32.99 %]\n", - "Coefs : 0.0344315 [ 16.99 %]\n", - "Output : 0.00834999 [ 4.12 %]\n", - "Levels : 0.000367861 [ 0.18 %]\n", - "Report : 1.496e-06 [ 0.00 %]\n", - "Balance : 1.067e-06 [ 0.00 %]\n", - "Adjust : 0.089486 [ 44.15 %]\n", - "Total : 0.202686 [100.00 %]\n", + "Drift : 0.000274494 [ 0.01 %]\n", + "Velocity : 0.00520493 [ 0.21 %]\n", + "Force : 0.437084 [ 17.64 %]\n", + "Coefs : 1.51183 [ 61.03 %]\n", + "Output : 0.00061697 [ 0.02 %]\n", + "Levels : 0.00808039 [ 0.33 %]\n", + "Report : 6.75e-07 [ 0.00 %]\n", + "Balance : 1.72e-07 [ 0.00 %]\n", + "Adjust : 0.514268 [ 20.76 %]\n", + "Total : 2.47739 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6047 704 223 83 85 \n", - "1 : 6063 707 209 83 80 \n", - "2 : 6026 727 227 83 79 \n", - "3 : 6025 713 247 76 81 \n", - "4 : 5984 729 240 101 88 \n", - "5 : 6036 733 226 77 70 \n", - "6 : 6023 716 238 92 73 \n", - "7 : 6024 712 245 78 83 \n", - "8 : 6083 692 220 76 71 \n", - "9 : 6023 694 252 82 91 \n", - "10 : 6059 675 256 81 71 \n", - "11 : 6014 709 250 101 68 \n", - "12 : 6013 735 224 89 81 \n", - "13 : 6058 717 218 88 73 \n", + "0 : 5815 780 327 116 104 \n", + "1 : 5842 767 341 105 87 \n", + "2 : 5793 798 343 102 106 \n", + "3 : 5867 742 322 104 107 \n", + "4 : 5870 764 333 86 89 \n", + "5 : 5896 756 318 90 82 \n", + "6 : 5843 764 311 123 101 \n", + "7 : 5856 787 323 94 82 \n", + "8 : 5866 769 309 95 103 \n", + "9 : 5832 796 307 98 109 \n", + "10 : 5850 759 326 106 101 \n", + "11 : 5837 765 308 115 117 \n", + "12 : 5832 800 326 81 103 \n", + "13 : 5858 741 317 118 120 \n", "\n", - "T : 84478 9963 3275 1190 1094 [100000]\n", + "T : 81857 10788 4511 1433 1411 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", + "--- Coef/DT = 1.3%\n", "--- Adj/Tot = 1.6%\n", - "--- Update = 1.3791e-02 sec\n", - "--- Collate = 7.7746e-05 sec\n", + "--- Update = 4.1541e-02 sec\n", + "--- Collate = 7.1505e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.230997e-05 < 6.250000e-03 [623]\n", - "--- Max DT=4.433103e-01 > 1.000000e-01 [67301]\n", + "--- Min DT=3.010069e-06 < 6.250000e-03 [871]\n", + "--- Max DT=6.656467e-01 > 1.000000e-01 [68558]\n", "----------------------------------------------------------------------\n", - " Component | low: 623/100000\n", - " Component | high: 67301/100000\n", + " Component | low: 871/100000\n", + " Component | high: 68558/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", - "--- Timer info [T=55.1] ----------------------------------------------\n", + "--- Timer info [T=54.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000674264 [ 0.38 %]\n", - "Velocity : 0.00243855 [ 1.39 %]\n", - "Force : 0.0654907 [ 37.35 %]\n", - "Coefs : 0.0284232 [ 16.21 %]\n", - "Output : 0.00155272 [ 0.89 %]\n", - "Levels : 0.000260598 [ 0.15 %]\n", - "Report : 1.291e-06 [ 0.00 %]\n", - "Balance : 6.4e-07 [ 0.00 %]\n", - "Adjust : 0.0764588 [ 43.60 %]\n", - "Total : 0.175365 [100.00 %]\n", + "Drift : 0.000225697 [ 0.01 %]\n", + "Velocity : 0.000977674 [ 0.04 %]\n", + "Force : 0.354064 [ 13.68 %]\n", + "Coefs : 1.67398 [ 64.66 %]\n", + "Output : 0.000461308 [ 0.02 %]\n", + "Levels : 0.000151146 [ 0.01 %]\n", + "Report : 5.7e-07 [ 0.00 %]\n", + "Balance : 1.98e-07 [ 0.00 %]\n", + "Adjust : 0.558837 [ 21.59 %]\n", + "Total : 2.58872 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5811 777 339 105 110 \n", + "1 : 5845 759 340 108 90 \n", + "2 : 5785 805 356 90 106 \n", + "3 : 5869 745 321 94 113 \n", + "4 : 5871 766 326 90 89 \n", + "5 : 5900 750 319 95 78 \n", + "6 : 5847 761 311 120 103 \n", + "7 : 5859 781 324 90 88 \n", + "8 : 5868 769 297 101 107 \n", + "9 : 5840 782 321 91 108 \n", + "10 : 5845 762 324 107 104 \n", + "11 : 5829 784 296 116 117 \n", + "12 : 5833 796 327 89 97 \n", + "13 : 5860 743 322 109 120 \n", + "\n", + "T : 81862 10780 4523 1405 1430 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 3.2691e-02 sec\n", + "--- Collate = 7.0180e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=1.640735e-06 < 6.250000e-03 [870]\n", + "--- Max DT=6.714122e-01 > 1.000000e-01 [68583]\n", + "----------------------------------------------------------------------\n", + " Component | low: 870/100000\n", + " Component | high: 68583/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=54.7] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000237113 [ 0.01 %]\n", + "Velocity : 0.00110389 [ 0.04 %]\n", + "Force : 0.476762 [ 15.61 %]\n", + "Coefs : 1.93564 [ 63.36 %]\n", + "Output : 0.000679062 [ 0.02 %]\n", + "Levels : 0.000540542 [ 0.02 %]\n", + "Report : 5.29e-07 [ 0.00 %]\n", + "Balance : 1.56e-07 [ 0.00 %]\n", + "Adjust : 0.639969 [ 20.95 %]\n", + "Total : 3.05496 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6045 706 225 79 87 \n", - "1 : 6072 697 210 83 80 \n", - "2 : 6018 731 229 74 90 \n", - "3 : 6019 727 235 85 76 \n", - "4 : 5978 734 236 114 80 \n", - "5 : 6032 737 220 86 67 \n", - "6 : 6023 720 236 92 71 \n", - "7 : 6028 707 238 91 78 \n", - "8 : 6087 689 221 74 71 \n", - "9 : 6014 705 251 79 93 \n", - "10 : 6054 684 250 85 69 \n", - "11 : 6011 711 257 90 73 \n", - "12 : 6005 741 234 86 76 \n", - "13 : 6053 723 219 87 72 \n", + "0 : 5812 783 334 99 114 \n", + "1 : 5851 755 335 105 96 \n", + "2 : 5786 798 359 98 101 \n", + "3 : 5871 743 322 97 109 \n", + "4 : 5862 772 322 95 91 \n", + "5 : 5896 750 323 99 74 \n", + "6 : 5855 755 313 116 103 \n", + "7 : 5857 779 328 90 88 \n", + "8 : 5863 771 300 100 108 \n", + "9 : 5841 791 307 94 109 \n", + "10 : 5838 758 335 104 107 \n", + "11 : 5826 787 298 111 120 \n", + "12 : 5833 802 313 100 94 \n", + "13 : 5858 748 318 104 126 \n", "\n", - "T : 84439 10012 3261 1205 1083 [100000]\n", + "T : 81849 10792 4507 1412 1440 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.0%\n", + "--- Coef/DT = 1.3%\n", "--- Adj/Tot = 1.6%\n", - "--- Update = 1.2180e-02 sec\n", - "--- Collate = 7.7859e-05 sec\n", + "--- Update = 3.1683e-02 sec\n", + "--- Collate = 2.9952e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.301584e-05 < 6.250000e-03 [629]\n", - "--- Max DT=4.486932e-01 > 1.000000e-01 [67301]\n", + "--- Min DT=5.964688e-06 < 6.250000e-03 [881]\n", + "--- Max DT=6.771849e-01 > 1.000000e-01 [68562]\n", "----------------------------------------------------------------------\n", - " Component | low: 629/100000\n", - " Component | high: 67301/100000\n", + " Component | low: 881/100000\n", + " Component | high: 68562/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=54.8] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000284554 [ 0.01 %]\n", + "Velocity : 0.00162072 [ 0.05 %]\n", + "Force : 0.507875 [ 15.95 %]\n", + "Coefs : 2.02268 [ 63.53 %]\n", + "Output : 0.000800958 [ 0.03 %]\n", + "Levels : 0.000149794 [ 0.00 %]\n", + "Report : 3.78e-07 [ 0.00 %]\n", + "Balance : 3.43e-07 [ 0.00 %]\n", + "Adjust : 0.650459 [ 20.43 %]\n", + "Total : 3.1839 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5811 786 330 102 113 \n", + "1 : 5851 749 342 98 102 \n", + "2 : 5787 800 350 97 108 \n", + "3 : 5867 751 317 102 105 \n", + "4 : 5859 767 329 97 90 \n", + "5 : 5907 743 313 98 81 \n", + "6 : 5857 751 316 111 107 \n", + "7 : 5862 782 314 94 90 \n", + "8 : 5865 772 297 99 109 \n", + "9 : 5839 794 301 102 106 \n", + "10 : 5836 759 336 100 111 \n", + "11 : 5827 781 303 108 123 \n", + "12 : 5835 798 308 106 95 \n", + "13 : 5853 746 327 100 128 \n", + "\n", + "T : 81856 10779 4483 1414 1468 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 4.0511e-02 sec\n", + "--- Collate = 7.0083e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=5.323643e-06 < 6.250000e-03 [889]\n", + "--- Max DT=6.829646e-01 > 1.000000e-01 [68582]\n", + "----------------------------------------------------------------------\n", + " Component | low: 889/100000\n", + " Component | high: 68582/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=54.9] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000275977 [ 0.01 %]\n", + "Velocity : 0.00113798 [ 0.05 %]\n", + "Force : 0.367124 [ 16.10 %]\n", + "Coefs : 1.47277 [ 64.60 %]\n", + "Output : 0.000633731 [ 0.03 %]\n", + "Levels : 0.000152198 [ 0.01 %]\n", + "Report : 5.67e-07 [ 0.00 %]\n", + "Balance : 2.88e-07 [ 0.00 %]\n", + "Adjust : 0.43764 [ 19.20 %]\n", + "Total : 2.27977 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5817 778 329 107 111 \n", + "1 : 5858 728 354 96 106 \n", + "2 : 5793 788 348 108 105 \n", + "3 : 5867 747 316 105 107 \n", + "4 : 5863 765 321 108 85 \n", + "5 : 5906 755 301 98 82 \n", + "6 : 5859 748 314 113 108 \n", + "7 : 5860 782 310 101 89 \n", + "8 : 5865 766 294 104 113 \n", + "9 : 5852 784 298 99 109 \n", + "10 : 5843 759 320 110 110 \n", + "11 : 5826 780 300 111 125 \n", + "12 : 5833 804 306 105 94 \n", + "13 : 5849 750 318 115 122 \n", + "\n", + "T : 81891 10734 4429 1480 1466 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 30.0%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 6.5520e-02 sec\n", + "--- Collate = 3.0664e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=2.063432e-06 < 6.250000e-03 [910]\n", + "--- Max DT=6.887514e-01 > 1.000000e-01 [68626]\n", + "----------------------------------------------------------------------\n", + " Component | low: 910/100000\n", + " Component | high: 68626/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=55] ------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000283716 [ 0.01 %]\n", + "Velocity : 0.00174597 [ 0.05 %]\n", + "Force : 0.599345 [ 15.84 %]\n", + "Coefs : 2.35635 [ 62.28 %]\n", + "Output : 0.010484 [ 0.28 %]\n", + "Levels : 0.00841112 [ 0.22 %]\n", + "Report : 1.502e-06 [ 0.00 %]\n", + "Balance : 4.91e-07 [ 0.00 %]\n", + "Adjust : 0.807083 [ 21.33 %]\n", + "Total : 3.78374 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5817 778 323 105 119 \n", + "1 : 5864 724 344 99 111 \n", + "2 : 5798 782 351 101 110 \n", + "3 : 5869 738 320 109 106 \n", + "4 : 5860 764 321 111 86 \n", + "5 : 5904 750 313 89 86 \n", + "6 : 5854 747 316 115 110 \n", + "7 : 5859 780 313 99 91 \n", + "8 : 5868 763 297 103 111 \n", + "9 : 5849 781 305 96 111 \n", + "10 : 5840 759 328 105 110 \n", + "11 : 5822 791 295 106 128 \n", + "12 : 5841 791 311 103 96 \n", + "13 : 5857 739 321 123 114 \n", + "\n", + "T : 81902 10687 4458 1464 1489 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 6.3456e-02 sec\n", + "--- Collate = 7.4039e-05 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.378393e-06 < 6.250000e-03 [905]\n", + "--- Max DT=6.945451e-01 > 1.000000e-01 [68629]\n", + "----------------------------------------------------------------------\n", + " Component | low: 905/100000\n", + " Component | high: 68629/100000\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info [T=55.1] ----------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Drift : 0.000625 [ 0.02 %]\n", + "Velocity : 0.00239242 [ 0.06 %]\n", + "Force : 0.654434 [ 16.85 %]\n", + "Coefs : 2.37515 [ 61.15 %]\n", + "Output : 0.00155332 [ 0.04 %]\n", + "Levels : 0.000272358 [ 0.01 %]\n", + "Report : 1.006e-06 [ 0.00 %]\n", + "Balance : 4.74e-07 [ 0.00 %]\n", + "Adjust : 0.84942 [ 21.87 %]\n", + "Total : 3.88391 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5823 775 314 108 122 \n", + "1 : 5863 725 342 100 112 \n", + "2 : 5808 769 356 107 102 \n", + "3 : 5865 733 331 105 108 \n", + "4 : 5858 771 317 105 91 \n", + "5 : 5909 740 318 92 83 \n", + "6 : 5846 757 314 114 111 \n", + "7 : 5858 779 317 97 91 \n", + "8 : 5865 758 300 109 110 \n", + "9 : 5845 780 308 95 114 \n", + "10 : 5851 746 326 114 105 \n", + "11 : 5823 794 290 106 129 \n", + "12 : 5838 792 315 103 94 \n", + "13 : 5851 743 326 112 122 \n", + "\n", + "T : 81903 10662 4474 1467 1494 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 8.9227e-02 sec\n", + "--- Collate = 9.0184e-03 sec\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Multistepping overrun\n", + "--- Min DT=3.268333e-06 < 6.250000e-03 [910]\n", + "--- Max DT=7.003458e-01 > 1.000000e-01 [68643]\n", + "----------------------------------------------------------------------\n", + " Component | low: 910/100000\n", + " Component | high: 68643/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=55.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000945334 [ 0.57 %]\n", - "Velocity : 0.00280259 [ 1.68 %]\n", - "Force : 0.0627103 [ 37.64 %]\n", - "Coefs : 0.0261658 [ 15.70 %]\n", - "Output : 0.00191744 [ 1.15 %]\n", - "Levels : 0.00031237 [ 0.19 %]\n", - "Report : 1.951e-06 [ 0.00 %]\n", - "Balance : 1.012e-06 [ 0.00 %]\n", - "Adjust : 0.0716989 [ 43.03 %]\n", - "Total : 0.166622 [100.00 %]\n", + "Drift : 0.000486624 [ 0.01 %]\n", + "Velocity : 0.00209348 [ 0.06 %]\n", + "Force : 0.597543 [ 16.81 %]\n", + "Coefs : 2.19744 [ 61.83 %]\n", + "Output : 0.000998903 [ 0.03 %]\n", + "Levels : 0.000259123 [ 0.01 %]\n", + "Report : 8.55e-07 [ 0.00 %]\n", + "Balance : 5.26e-07 [ 0.00 %]\n", + "Adjust : 0.755198 [ 21.25 %]\n", + "Total : 3.55407 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6040 707 227 80 88 \n", - "1 : 6068 701 206 92 75 \n", - "2 : 6009 734 236 70 93 \n", - "3 : 6016 728 236 92 70 \n", - "4 : 5971 743 239 113 76 \n", - "5 : 6030 733 236 79 64 \n", - "6 : 6022 727 230 97 66 \n", - "7 : 6021 715 235 95 76 \n", - "8 : 6082 686 228 75 71 \n", - "9 : 6016 701 251 88 86 \n", - "10 : 6048 689 249 76 80 \n", - "11 : 6003 722 247 98 72 \n", - "12 : 6005 743 230 89 75 \n", - "13 : 6058 714 217 93 72 \n", + "0 : 5821 770 319 116 116 \n", + "1 : 5862 726 346 95 113 \n", + "2 : 5812 758 360 111 101 \n", + "3 : 5861 743 330 94 114 \n", + "4 : 5860 766 325 98 93 \n", + "5 : 5904 747 316 91 84 \n", + "6 : 5853 757 310 112 110 \n", + "7 : 5855 790 311 90 96 \n", + "8 : 5859 760 307 110 106 \n", + "9 : 5835 781 317 98 111 \n", + "10 : 5856 742 317 121 106 \n", + "11 : 5822 791 299 106 124 \n", + "12 : 5835 792 315 106 94 \n", + "13 : 5856 741 320 116 121 \n", + "\n", + "T : 81891 10664 4492 1464 1489 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info in comp, mlevel=2--------------------------------------\n", + "----------------------------------------------------------------------\n", + " COM: 2.454470e-04\n", + " Position: 2.203662e+01\n", + " --------------------------------------------------\n", + " *** fix pos : 1.124599e+01 \n", + " --------------------------------------------------\n", + " Ang mom: 3.321987e+00\n", + " Zero: 1.150762e-01\n", + " Accel: 3.150770e+00\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " Interaction: 3.618880e-04\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " External: 6.731260e-04\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " Expand: 1.862557e+02\n", + " Force: 3.269440e+00\n", + " Elapsed: 3.000121e+02\n", + "----------------------------------------------------------------------\n", "\n", - "T : 84389 10043 3267 1237 1064 [100000]\n", + "mstep/Mstep=4/16\n", + "0 |90 1 |89 2 |179 3 |358 4 |716 \n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.9%\n", - "--- Adj/Tot = 1.5%\n", - "--- Update = 1.2024e-02 sec\n", - "--- Collate = 1.2000e-04 sec\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 6.2789e-02 sec\n", + "--- Collate = 1.1844e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.656108e-07 < 6.250000e-03 [636]\n", - "--- Max DT=4.540858e-01 > 1.000000e-01 [67292]\n", + "--- Min DT=9.013766e-06 < 6.250000e-03 [871]\n", + "--- Max DT=7.061533e-01 > 1.000000e-01 [68656]\n", "----------------------------------------------------------------------\n", - " Component | low: 636/100000\n", - " Component | high: 67292/100000\n", + " Component | low: 871/100000\n", + " Component | high: 68656/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=55.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00111177 [ 0.68 %]\n", - "Velocity : 0.00333811 [ 2.03 %]\n", - "Force : 0.0588438 [ 35.77 %]\n", - "Coefs : 0.0254699 [ 15.48 %]\n", - "Output : 0.00166809 [ 1.01 %]\n", - "Levels : 0.000352112 [ 0.21 %]\n", - "Report : 1.974e-06 [ 0.00 %]\n", - "Balance : 1.237e-06 [ 0.00 %]\n", - "Adjust : 0.0736383 [ 44.77 %]\n", - "Total : 0.164496 [100.00 %]\n", + "Drift : 0.000479378 [ 0.01 %]\n", + "Velocity : 0.00198238 [ 0.05 %]\n", + "Force : 0.653786 [ 17.80 %]\n", + "Coefs : 2.2763 [ 61.98 %]\n", + "Output : 0.0013279 [ 0.04 %]\n", + "Levels : 0.000268634 [ 0.01 %]\n", + "Report : 1.25e-06 [ 0.00 %]\n", + "Balance : 2.65e-07 [ 0.00 %]\n", + "Adjust : 0.738705 [ 20.11 %]\n", + "Total : 3.6729 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6036 710 229 79 88 \n", - "1 : 6063 703 205 93 78 \n", - "2 : 6006 738 233 71 94 \n", - "3 : 6018 726 233 95 70 \n", - "4 : 5968 749 235 113 77 \n", - "5 : 6018 743 234 84 63 \n", - "6 : 6024 724 225 104 65 \n", - "7 : 6015 728 230 88 81 \n", - "8 : 6079 695 223 74 71 \n", - "9 : 6007 715 245 87 88 \n", - "10 : 6043 693 243 85 78 \n", - "11 : 6002 724 245 100 71 \n", - "12 : 6008 740 232 90 72 \n", - "13 : 6049 722 218 98 67 \n", + "0 : 5820 771 334 100 117 \n", + "1 : 5858 735 333 95 121 \n", + "2 : 5814 755 365 108 100 \n", + "3 : 5856 747 335 89 115 \n", + "4 : 5853 770 321 102 96 \n", + "5 : 5904 752 309 86 91 \n", + "6 : 5853 757 310 107 115 \n", + "7 : 5862 780 311 96 93 \n", + "8 : 5856 766 303 109 108 \n", + "9 : 5838 770 322 102 110 \n", + "10 : 5856 740 324 113 109 \n", + "11 : 5818 797 292 115 120 \n", + "12 : 5846 790 307 105 94 \n", + "13 : 5853 743 322 127 109 \n", "\n", - "T : 84336 10110 3230 1261 1063 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81887 10673 4488 1454 1498 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 1.5%\n", - "--- Update = 1.0987e-02 sec\n", - "--- Collate = 7.2811e-05 sec\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 6.5529e-02 sec\n", + "--- Collate = 5.0395e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.479469e-07 < 6.250000e-03 [648]\n", - "--- Max DT=4.594882e-01 > 1.000000e-01 [67297]\n", + "--- Min DT=2.048747e-06 < 6.250000e-03 [884]\n", + "--- Max DT=7.119677e-01 > 1.000000e-01 [68685]\n", "----------------------------------------------------------------------\n", - " Component | low: 648/100000\n", - " Component | high: 67297/100000\n", + " Component | low: 884/100000\n", + " Component | high: 68685/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=55.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000839108 [ 0.52 %]\n", - "Velocity : 0.0034668 [ 2.14 %]\n", - "Force : 0.0606817 [ 37.45 %]\n", - "Coefs : 0.0237905 [ 14.68 %]\n", - "Output : 0.00152637 [ 0.94 %]\n", - "Levels : 0.000293127 [ 0.18 %]\n", - "Report : 1.084e-06 [ 0.00 %]\n", - "Balance : 6.04e-07 [ 0.00 %]\n", - "Adjust : 0.0713597 [ 44.04 %]\n", - "Total : 0.162026 [100.00 %]\n", + "Drift : 0.000499265 [ 0.02 %]\n", + "Velocity : 0.00209142 [ 0.06 %]\n", + "Force : 0.537752 [ 16.34 %]\n", + "Coefs : 2.07338 [ 63.01 %]\n", + "Output : 0.000916989 [ 0.03 %]\n", + "Levels : 0.000255592 [ 0.01 %]\n", + "Report : 1.047e-06 [ 0.00 %]\n", + "Balance : 5.35e-07 [ 0.00 %]\n", + "Adjust : 0.67559 [ 20.53 %]\n", + "Total : 3.29053 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6036 706 232 73 95 \n", - "1 : 6054 710 217 75 86 \n", - "2 : 6002 740 231 81 88 \n", - "3 : 6024 719 238 89 72 \n", - "4 : 5968 752 234 106 82 \n", - "5 : 6011 746 239 78 68 \n", - "6 : 6017 722 236 105 62 \n", - "7 : 6013 726 238 79 86 \n", - "8 : 6071 694 231 73 73 \n", - "9 : 6000 724 246 83 89 \n", - "10 : 6040 695 241 92 74 \n", - "11 : 6001 724 245 95 77 \n", - "12 : 6007 743 234 85 73 \n", - "13 : 6041 728 225 93 67 \n", + "0 : 5816 770 329 105 122 \n", + "1 : 5852 740 331 96 123 \n", + "2 : 5814 753 365 104 106 \n", + "3 : 5852 748 328 94 120 \n", + "4 : 5855 772 315 101 99 \n", + "5 : 5901 752 315 87 87 \n", + "6 : 5859 753 299 112 119 \n", + "7 : 5857 785 307 103 90 \n", + "8 : 5854 764 309 101 114 \n", + "9 : 5842 768 315 106 111 \n", + "10 : 5854 745 321 111 111 \n", + "11 : 5819 795 296 114 118 \n", + "12 : 5846 789 303 103 101 \n", + "13 : 5849 738 330 127 110 \n", "\n", - "T : 84285 10129 3287 1207 1092 [100000]\n", + "T : 81870 10672 4463 1464 1531 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.1%\n", + "--- Coef/DT = 1.6%\n", "--- Adj/Tot = 1.6%\n", - "--- Update = 1.2524e-02 sec\n", - "--- Collate = 1.2409e-04 sec\n", + "--- Update = 5.1189e-02 sec\n", + "--- Collate = 2.6117e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.982033e-06 < 6.250000e-03 [648]\n", - "--- Max DT=4.649002e-01 > 1.000000e-01 [67265]\n", + "--- Min DT=5.301331e-06 < 6.250000e-03 [860]\n", + "--- Max DT=7.177889e-01 > 1.000000e-01 [68709]\n", "----------------------------------------------------------------------\n", - " Component | low: 648/100000\n", - " Component | high: 67265/100000\n", + " Component | low: 860/100000\n", + " Component | high: 68709/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=55.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000875075 [ 0.53 %]\n", - "Velocity : 0.00240281 [ 1.46 %]\n", - "Force : 0.060826 [ 37.00 %]\n", - "Coefs : 0.0238968 [ 14.54 %]\n", - "Output : 0.00148339 [ 0.90 %]\n", - "Levels : 0.000322283 [ 0.20 %]\n", - "Report : 1.324e-06 [ 0.00 %]\n", - "Balance : 6.32e-07 [ 0.00 %]\n", - "Adjust : 0.0745317 [ 45.34 %]\n", - "Total : 0.164398 [100.00 %]\n", + "Drift : 0.000496905 [ 0.01 %]\n", + "Velocity : 0.00263336 [ 0.07 %]\n", + "Force : 0.751604 [ 19.17 %]\n", + "Coefs : 2.39846 [ 61.18 %]\n", + "Output : 0.00126705 [ 0.03 %]\n", + "Levels : 0.000369724 [ 0.01 %]\n", + "Report : 9.86e-07 [ 0.00 %]\n", + "Balance : 4.36e-07 [ 0.00 %]\n", + "Adjust : 0.765601 [ 19.53 %]\n", + "Total : 3.92049 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6042 703 230 76 91 \n", - "1 : 6047 718 211 81 85 \n", - "2 : 6002 743 225 85 87 \n", - "3 : 6025 712 235 92 78 \n", - "4 : 5964 756 239 100 83 \n", - "5 : 6007 749 240 74 72 \n", - "6 : 6028 706 236 105 67 \n", - "7 : 6009 719 242 82 90 \n", - "8 : 6064 705 228 76 69 \n", - "9 : 6005 707 259 93 78 \n", - "10 : 6035 702 247 83 75 \n", - "11 : 5999 733 237 95 78 \n", - "12 : 5993 760 229 81 79 \n", - "13 : 6031 740 225 89 69 \n", + "0 : 5816 771 326 115 114 \n", + "1 : 5855 733 326 108 120 \n", + "2 : 5813 754 361 105 109 \n", + "3 : 5852 755 322 98 115 \n", + "4 : 5852 772 315 101 102 \n", + "5 : 5900 757 310 87 88 \n", + "6 : 5860 742 315 105 120 \n", + "7 : 5860 773 314 110 85 \n", + "8 : 5848 766 303 107 118 \n", + "9 : 5841 761 328 101 111 \n", + "10 : 5849 758 317 109 109 \n", + "11 : 5818 800 298 111 115 \n", + "12 : 5851 777 309 112 93 \n", + "13 : 5848 739 335 118 114 \n", "\n", - "T : 84251 10153 3283 1212 1101 [100000]\n", + "T : 81863 10658 4479 1487 1513 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.3%\n", + "--- Coef/DT = 5.2%\n", "--- Adj/Tot = 1.6%\n", - "--- Update = 1.3420e-02 sec\n", - "--- Collate = 7.9589e-05 sec\n", + "--- Update = 5.9244e-02 sec\n", + "--- Collate = 8.0247e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.454711e-06 < 6.250000e-03 [643]\n", - "--- Max DT=4.703217e-01 > 1.000000e-01 [67250]\n", + "--- Min DT=5.682335e-07 < 6.250000e-03 [889]\n", + "--- Max DT=7.236168e-01 > 1.000000e-01 [68720]\n", "----------------------------------------------------------------------\n", - " Component | low: 643/100000\n", - " Component | high: 67250/100000\n", + " Component | low: 889/100000\n", + " Component | high: 68720/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=55.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00133407 [ 0.75 %]\n", - "Velocity : 0.00278983 [ 1.56 %]\n", - "Force : 0.0672402 [ 37.71 %]\n", - "Coefs : 0.0278272 [ 15.61 %]\n", - "Output : 0.00141083 [ 0.79 %]\n", - "Levels : 0.000299838 [ 0.17 %]\n", - "Report : 1.3e-06 [ 0.00 %]\n", - "Balance : 6.25e-07 [ 0.00 %]\n", - "Adjust : 0.0773194 [ 43.37 %]\n", - "Total : 0.178289 [100.00 %]\n", + "Drift : 0.000515842 [ 0.01 %]\n", + "Velocity : 0.00231362 [ 0.07 %]\n", + "Force : 0.603172 [ 17.01 %]\n", + "Coefs : 2.20641 [ 62.23 %]\n", + "Output : 0.00145982 [ 0.04 %]\n", + "Levels : 0.000261846 [ 0.01 %]\n", + "Report : 8.37e-07 [ 0.00 %]\n", + "Balance : 3.14e-07 [ 0.00 %]\n", + "Adjust : 0.731164 [ 20.62 %]\n", + "Total : 3.54535 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6040 710 230 73 89 \n", - "1 : 6047 710 224 87 74 \n", - "2 : 6000 737 237 85 83 \n", - "3 : 6017 718 245 87 75 \n", - "4 : 5965 755 245 94 83 \n", - "5 : 6008 746 247 66 75 \n", - "6 : 6022 718 232 96 74 \n", - "7 : 6008 714 242 92 86 \n", - "8 : 6058 709 227 82 66 \n", - "9 : 5995 722 254 95 76 \n", - "10 : 6035 704 241 82 80 \n", - "11 : 5991 737 245 88 81 \n", - "12 : 5988 759 240 81 74 \n", - "13 : 6025 745 228 82 74 \n", + "0 : 5816 778 321 113 114 \n", + "1 : 5849 742 323 112 116 \n", + "2 : 5809 763 358 102 110 \n", + "3 : 5851 758 317 100 116 \n", + "4 : 5851 769 320 98 104 \n", + "5 : 5901 748 310 92 91 \n", + "6 : 5855 747 315 108 117 \n", + "7 : 5855 774 321 106 86 \n", + "8 : 5845 765 308 104 120 \n", + "9 : 5837 765 322 109 109 \n", + "10 : 5850 759 313 106 114 \n", + "11 : 5813 810 289 112 118 \n", + "12 : 5850 781 307 110 94 \n", + "13 : 5848 738 344 113 111 \n", "\n", - "T : 84199 10184 3337 1190 1090 [100000]\n", + "T : 81830 10697 4468 1485 1520 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.4%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 1.1430e-02 sec\n", - "--- Collate = 8.6904e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 4.2184e-02 sec\n", + "--- Collate = 7.4533e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.037749e-06 < 6.250000e-03 [651]\n", - "--- Max DT=4.757527e-01 > 1.000000e-01 [67222]\n", + "--- Min DT=3.792760e-07 < 6.250000e-03 [917]\n", + "--- Max DT=7.294514e-01 > 1.000000e-01 [68740]\n", "----------------------------------------------------------------------\n", - " Component | low: 651/100000\n", - " Component | high: 67222/100000\n", + " Component | low: 917/100000\n", + " Component | high: 68740/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=55.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00138126 [ 0.79 %]\n", - "Velocity : 0.00307809 [ 1.76 %]\n", - "Force : 0.0670198 [ 38.38 %]\n", - "Coefs : 0.0266436 [ 15.26 %]\n", - "Output : 0.00152747 [ 0.87 %]\n", - "Levels : 0.000313221 [ 0.18 %]\n", - "Report : 1.203e-06 [ 0.00 %]\n", - "Balance : 5.91e-07 [ 0.00 %]\n", - "Adjust : 0.0745726 [ 42.71 %]\n", - "Total : 0.174603 [100.00 %]\n", + "Drift : 0.000825676 [ 0.02 %]\n", + "Velocity : 0.00211279 [ 0.06 %]\n", + "Force : 0.596494 [ 17.27 %]\n", + "Coefs : 2.1115 [ 61.15 %]\n", + "Output : 0.00135545 [ 0.04 %]\n", + "Levels : 0.00029076 [ 0.01 %]\n", + "Report : 1.024e-06 [ 0.00 %]\n", + "Balance : 4.44e-07 [ 0.00 %]\n", + "Adjust : 0.740311 [ 21.44 %]\n", + "Total : 3.45295 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6034 718 229 71 90 \n", - "1 : 6036 721 226 86 73 \n", - "2 : 5999 734 239 89 81 \n", - "3 : 6013 717 244 99 69 \n", - "4 : 5958 764 240 96 84 \n", - "5 : 6010 745 243 69 75 \n", - "6 : 6023 715 228 98 78 \n", - "7 : 6004 725 229 95 89 \n", - "8 : 6052 717 224 85 64 \n", - "9 : 5995 722 257 87 81 \n", - "10 : 6030 718 232 76 86 \n", - "11 : 5989 739 250 87 77 \n", - "12 : 5984 763 244 81 70 \n", - "13 : 6017 753 219 94 71 \n", + "0 : 5814 778 318 111 121 \n", + "1 : 5846 744 320 108 124 \n", + "2 : 5809 771 342 112 108 \n", + "3 : 5848 770 302 103 119 \n", + "4 : 5854 769 311 107 101 \n", + "5 : 5905 749 306 96 86 \n", + "6 : 5854 747 318 106 117 \n", + "7 : 5848 771 325 108 90 \n", + "8 : 5840 770 307 108 117 \n", + "9 : 5842 746 330 115 109 \n", + "10 : 5853 754 322 97 116 \n", + "11 : 5810 808 300 99 125 \n", + "12 : 5858 770 315 97 102 \n", + "13 : 5841 758 330 121 104 \n", "\n", - "T : 84144 10251 3304 1213 1088 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81822 10705 4446 1488 1539 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.4%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 3.5839e-02 sec\n", - "--- Collate = 8.3642e-05 sec\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 6.1453e-02 sec\n", + "--- Collate = 1.0030e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.612499e-06 < 6.250000e-03 [656]\n", - "--- Max DT=4.811931e-01 > 1.000000e-01 [67216]\n", + "--- Min DT=2.082632e-07 < 6.250000e-03 [929]\n", + "--- Max DT=7.352926e-01 > 1.000000e-01 [68764]\n", "----------------------------------------------------------------------\n", - " Component | low: 656/100000\n", - " Component | high: 67216/100000\n", + " Component | low: 929/100000\n", + " Component | high: 68764/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=55.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000693081 [ 0.23 %]\n", - "Velocity : 0.00366004 [ 1.19 %]\n", - "Force : 0.0912445 [ 29.68 %]\n", - "Coefs : 0.0462518 [ 15.05 %]\n", - "Output : 0.00131211 [ 0.43 %]\n", - "Levels : 0.000405523 [ 0.13 %]\n", - "Report : 1.794e-06 [ 0.00 %]\n", - "Balance : 7.56e-07 [ 0.00 %]\n", - "Adjust : 0.163775 [ 53.28 %]\n", - "Total : 0.307406 [100.00 %]\n", + "Drift : 0.000535764 [ 0.02 %]\n", + "Velocity : 0.00180383 [ 0.05 %]\n", + "Force : 0.575742 [ 17.12 %]\n", + "Coefs : 2.08274 [ 61.94 %]\n", + "Output : 0.00131648 [ 0.04 %]\n", + "Levels : 0.00841894 [ 0.25 %]\n", + "Report : 6.6e-07 [ 0.00 %]\n", + "Balance : 4.33e-07 [ 0.00 %]\n", + "Adjust : 0.691674 [ 20.57 %]\n", + "Total : 3.36229 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6031 718 233 66 94 \n", - "1 : 6035 723 233 76 75 \n", - "2 : 5998 733 247 85 79 \n", - "3 : 6007 728 244 88 75 \n", - "4 : 5957 770 237 91 87 \n", - "5 : 6014 745 237 64 82 \n", - "6 : 6015 719 232 98 78 \n", - "7 : 5997 730 233 91 91 \n", - "8 : 6047 728 221 77 69 \n", - "9 : 5986 729 257 85 85 \n", - "10 : 6027 725 226 79 85 \n", - "11 : 5991 740 247 91 73 \n", - "12 : 5982 760 241 86 73 \n", - "13 : 6012 755 222 91 74 \n", + "0 : 5817 774 310 121 120 \n", + "1 : 5853 734 324 108 123 \n", + "2 : 5811 774 330 116 111 \n", + "3 : 5843 766 304 105 124 \n", + "4 : 5848 768 320 111 95 \n", + "5 : 5893 762 304 97 86 \n", + "6 : 5859 745 309 107 122 \n", + "7 : 5848 772 324 106 92 \n", + "8 : 5834 774 309 104 121 \n", + "9 : 5839 751 322 115 115 \n", + "10 : 5849 760 311 105 117 \n", + "11 : 5810 805 300 101 126 \n", + "12 : 5861 766 316 97 102 \n", + "13 : 5843 758 339 105 109 \n", "\n", - "T : 84099 10303 3310 1168 1120 [100000]\n", + "T : 81808 10709 4422 1498 1563 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 9.3%\n", + "--- Coef/DT = 1.7%\n", "--- Adj/Tot = 1.6%\n", - "--- Update = 1.4014e-02 sec\n", - "--- Collate = 9.6855e-05 sec\n", + "--- Update = 6.5494e-02 sec\n", + "--- Collate = 1.7009e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.777309e-06 < 6.250000e-03 [650]\n", - "--- Max DT=4.866427e-01 > 1.000000e-01 [67192]\n", + "--- Min DT=3.768968e-06 < 6.250000e-03 [952]\n", + "--- Max DT=7.411405e-01 > 1.000000e-01 [68792]\n", "----------------------------------------------------------------------\n", - " Component | low: 650/100000\n", - " Component | high: 67192/100000\n", + " Component | low: 952/100000\n", + " Component | high: 68792/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=55.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00103298 [ 0.27 %]\n", - "Velocity : 0.0037281 [ 0.99 %]\n", - "Force : 0.121657 [ 32.22 %]\n", - "Coefs : 0.0867459 [ 22.97 %]\n", - "Output : 0.00184216 [ 0.49 %]\n", - "Levels : 0.000276576 [ 0.07 %]\n", - "Report : 1.05e-06 [ 0.00 %]\n", - "Balance : 4.32e-07 [ 0.00 %]\n", - "Adjust : 0.162246 [ 42.97 %]\n", - "Total : 0.377593 [100.00 %]\n", + "Drift : 0.000637466 [ 0.02 %]\n", + "Velocity : 0.00257955 [ 0.07 %]\n", + "Force : 0.57522 [ 16.23 %]\n", + "Coefs : 2.24273 [ 63.29 %]\n", + "Output : 0.00140377 [ 0.04 %]\n", + "Levels : 0.000327108 [ 0.01 %]\n", + "Report : 8.36e-07 [ 0.00 %]\n", + "Balance : 2.82e-07 [ 0.00 %]\n", + "Adjust : 0.720376 [ 20.33 %]\n", + "Total : 3.54332 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6017 731 237 64 93 \n", - "1 : 6026 726 248 69 73 \n", - "2 : 5992 746 240 82 82 \n", - "3 : 6003 733 249 81 76 \n", - "4 : 5950 771 251 84 86 \n", - "5 : 6015 749 235 61 82 \n", - "6 : 6010 726 235 93 78 \n", - "7 : 5993 729 240 95 85 \n", - "8 : 6046 722 222 79 73 \n", - "9 : 5993 725 256 84 84 \n", - "10 : 6015 739 219 83 86 \n", - "11 : 5988 739 252 83 80 \n", - "12 : 5988 752 246 83 73 \n", - "13 : 6010 759 224 84 77 \n", + "0 : 5809 775 318 117 123 \n", + "1 : 5850 734 328 104 126 \n", + "2 : 5806 783 322 114 117 \n", + "3 : 5841 767 302 108 124 \n", + "4 : 5844 767 323 108 100 \n", + "5 : 5895 761 299 94 93 \n", + "6 : 5865 748 303 107 119 \n", + "7 : 5843 779 321 97 102 \n", + "8 : 5833 779 306 106 118 \n", + "9 : 5838 749 317 122 116 \n", + "10 : 5839 764 315 104 120 \n", + "11 : 5811 802 306 102 121 \n", + "12 : 5865 762 317 99 99 \n", + "13 : 5838 757 339 108 112 \n", "\n", - "T : 84046 10347 3354 1125 1128 [100000]\n", + "T : 81777 10727 4416 1490 1590 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 13.2%\n", + "--- Coef/DT = 1.4%\n", "--- Adj/Tot = 1.5%\n", - "--- Update = 1.4424e-02 sec\n", - "--- Collate = 7.0107e-05 sec\n", + "--- Update = 3.9196e-02 sec\n", + "--- Collate = 6.0264e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.705621e-06 < 6.250000e-03 [655]\n", - "--- Max DT=4.921014e-01 > 1.000000e-01 [67200]\n", + "--- Min DT=5.116566e-06 < 6.250000e-03 [955]\n", + "--- Max DT=7.469949e-01 > 1.000000e-01 [68790]\n", "----------------------------------------------------------------------\n", - " Component | low: 655/100000\n", - " Component | high: 67200/100000\n", + " Component | low: 955/100000\n", + " Component | high: 68790/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=56] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00084449 [ 0.44 %]\n", - "Velocity : 0.00356227 [ 1.86 %]\n", - "Force : 0.0608803 [ 31.72 %]\n", - "Coefs : 0.0395991 [ 20.63 %]\n", - "Output : 0.00702645 [ 3.66 %]\n", - "Levels : 0.000191396 [ 0.10 %]\n", - "Report : 1.633e-06 [ 0.00 %]\n", - "Balance : 7.4e-07 [ 0.00 %]\n", - "Adjust : 0.0797881 [ 41.57 %]\n", - "Total : 0.191946 [100.00 %]\n", + "Drift : 0.000476983 [ 0.01 %]\n", + "Velocity : 0.00267338 [ 0.08 %]\n", + "Force : 0.508499 [ 14.97 %]\n", + "Coefs : 2.25549 [ 66.40 %]\n", + "Output : 0.00987326 [ 0.29 %]\n", + "Levels : 0.000217615 [ 0.01 %]\n", + "Report : 1.075e-06 [ 0.00 %]\n", + "Balance : 5.6e-07 [ 0.00 %]\n", + "Adjust : 0.619537 [ 18.24 %]\n", + "Total : 3.39682 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6019 723 241 64 95 \n", - "1 : 6022 728 245 71 76 \n", - "2 : 5996 733 248 79 86 \n", - "3 : 6001 746 242 80 73 \n", - "4 : 5939 784 248 86 85 \n", - "5 : 6015 747 234 66 80 \n", - "6 : 5999 736 236 88 83 \n", - "7 : 5984 739 238 96 85 \n", - "8 : 6041 725 224 74 78 \n", - "9 : 5985 732 261 76 88 \n", - "10 : 6015 735 224 81 87 \n", - "11 : 5978 744 252 89 79 \n", - "12 : 5984 747 253 85 73 \n", - "13 : 6005 761 225 79 84 \n", + "0 : 5803 775 323 115 126 \n", + "1 : 5850 737 323 104 128 \n", + "2 : 5806 782 323 107 124 \n", + "3 : 5840 762 309 103 128 \n", + "4 : 5840 767 321 117 97 \n", + "5 : 5890 770 292 93 97 \n", + "6 : 5862 752 306 103 119 \n", + "7 : 5832 790 316 99 105 \n", + "8 : 5839 784 297 103 119 \n", + "9 : 5835 750 318 120 119 \n", + "10 : 5849 752 312 108 121 \n", + "11 : 5806 805 307 94 130 \n", + "12 : 5868 767 299 107 101 \n", + "13 : 5841 754 343 107 109 \n", "\n", - "T : 83983 10380 3371 1114 1152 [100000]\n", + "T : 81761 10747 4389 1480 1623 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.8%\n", - "--- Adj/Tot = 1.5%\n", - "--- Update = 1.1571e-02 sec\n", - "--- Collate = 7.5855e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 3.9307e-02 sec\n", + "--- Collate = 6.9481e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.392742e-05 < 6.250000e-03 [665]\n", - "--- Max DT=4.975693e-01 > 1.000000e-01 [67177]\n", + "--- Min DT=1.565550e-06 < 6.250000e-03 [976]\n", + "--- Max DT=7.528558e-01 > 1.000000e-01 [68796]\n", "----------------------------------------------------------------------\n", - " Component | low: 665/100000\n", - " Component | high: 67177/100000\n", + " Component | low: 976/100000\n", + " Component | high: 68796/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=56.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00134967 [ 0.58 %]\n", - "Velocity : 0.0041268 [ 1.77 %]\n", - "Force : 0.0722117 [ 31.05 %]\n", - "Coefs : 0.0456478 [ 19.63 %]\n", - "Output : 0.00178628 [ 0.77 %]\n", - "Levels : 0.000224005 [ 0.10 %]\n", - "Report : 6.95e-07 [ 0.00 %]\n", - "Balance : 3.21e-07 [ 0.00 %]\n", - "Adjust : 0.107127 [ 46.07 %]\n", - "Total : 0.232531 [100.00 %]\n", + "Drift : 0.0017921 [ 0.06 %]\n", + "Velocity : 0.00277185 [ 0.09 %]\n", + "Force : 0.538164 [ 16.56 %]\n", + "Coefs : 2.04555 [ 62.93 %]\n", + "Output : 0.00138941 [ 0.04 %]\n", + "Levels : 0.00028738 [ 0.01 %]\n", + "Report : 5.66e-07 [ 0.00 %]\n", + "Balance : 3.13e-07 [ 0.00 %]\n", + "Adjust : 0.660416 [ 20.32 %]\n", + "Total : 3.25043 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6011 725 247 66 93 \n", - "1 : 6014 740 239 73 76 \n", - "2 : 5984 749 240 84 85 \n", - "3 : 5992 753 239 81 77 \n", - "4 : 5937 775 263 82 85 \n", - "5 : 6015 749 229 64 85 \n", - "6 : 5999 736 237 82 88 \n", - "7 : 5979 740 241 98 84 \n", - "8 : 6042 719 227 78 76 \n", - "9 : 5982 732 257 82 89 \n", - "10 : 6012 738 222 86 84 \n", - "11 : 5972 748 248 92 82 \n", - "12 : 5991 740 253 77 81 \n", - "13 : 6002 762 226 80 84 \n", + "0 : 5804 776 322 113 127 \n", + "1 : 5849 734 332 95 132 \n", + "2 : 5814 767 330 112 119 \n", + "3 : 5836 757 324 93 132 \n", + "4 : 5836 768 325 113 100 \n", + "5 : 5893 767 293 94 95 \n", + "6 : 5856 755 305 107 119 \n", + "7 : 5832 787 315 99 109 \n", + "8 : 5838 786 293 108 117 \n", + "9 : 5833 746 329 117 117 \n", + "10 : 5847 748 314 110 123 \n", + "11 : 5810 811 300 101 120 \n", + "12 : 5860 773 300 106 103 \n", + "13 : 5842 755 335 112 110 \n", "\n", - "T : 83932 10406 3368 1125 1169 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81750 10730 4417 1480 1623 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.7%\n", + "--- Coef/DT = 1.5%\n", "--- Adj/Tot = 1.6%\n", - "--- Update = 1.3959e-02 sec\n", - "--- Collate = 7.9474e-05 sec\n", + "--- Update = 4.1431e-02 sec\n", + "--- Collate = 4.0318e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.127619e-06 < 6.250000e-03 [682]\n", - "--- Max DT=5.030462e-01 > 1.000000e-01 [67159]\n", + "--- Min DT=2.820320e-06 < 6.250000e-03 [962]\n", + "--- Max DT=7.587233e-01 > 1.000000e-01 [68814]\n", "----------------------------------------------------------------------\n", - " Component | low: 682/100000\n", - " Component | high: 67159/100000\n", + " Component | low: 962/100000\n", + " Component | high: 68814/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=56.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00129809 [ 0.70 %]\n", - "Velocity : 0.00424735 [ 2.28 %]\n", - "Force : 0.0668708 [ 35.94 %]\n", - "Coefs : 0.0271517 [ 14.59 %]\n", - "Output : 0.00162551 [ 0.87 %]\n", - "Levels : 0.000280068 [ 0.15 %]\n", - "Report : 6.46e-07 [ 0.00 %]\n", - "Balance : 3.39e-07 [ 0.00 %]\n", - "Adjust : 0.0845475 [ 45.44 %]\n", - "Total : 0.186079 [100.00 %]\n", + "Drift : 0.000931878 [ 0.03 %]\n", + "Velocity : 0.00314297 [ 0.11 %]\n", + "Force : 0.530346 [ 17.88 %]\n", + "Coefs : 1.80223 [ 60.77 %]\n", + "Output : 0.00159089 [ 0.05 %]\n", + "Levels : 0.000301337 [ 0.01 %]\n", + "Report : 7.54e-07 [ 0.00 %]\n", + "Balance : 3.15e-07 [ 0.00 %]\n", + "Adjust : 0.626955 [ 21.14 %]\n", + "Total : 2.96555 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 6004 742 237 66 93 \n", - "1 : 6005 747 242 67 81 \n", - "2 : 5978 763 233 91 77 \n", - "3 : 5989 751 247 81 74 \n", - "4 : 5930 778 264 88 82 \n", - "5 : 6010 751 232 70 79 \n", - "6 : 5989 747 236 78 92 \n", - "7 : 5973 749 239 91 90 \n", - "8 : 6038 719 232 81 72 \n", - "9 : 5982 732 259 85 84 \n", - "10 : 6008 741 225 83 85 \n", - "11 : 5965 750 258 90 79 \n", - "12 : 5991 738 260 76 77 \n", - "13 : 5998 761 235 80 80 \n", + "0 : 5805 776 328 104 129 \n", + "1 : 5850 728 344 91 129 \n", + "2 : 5815 763 329 115 120 \n", + "3 : 5837 761 320 99 125 \n", + "4 : 5831 759 342 112 98 \n", + "5 : 5897 764 290 100 91 \n", + "6 : 5854 752 311 104 121 \n", + "7 : 5826 781 330 106 99 \n", + "8 : 5838 777 299 115 113 \n", + "9 : 5835 745 332 111 119 \n", + "10 : 5843 751 314 116 118 \n", + "11 : 5808 810 304 107 113 \n", + "12 : 5858 776 298 112 98 \n", + "13 : 5838 756 338 111 111 \n", "\n", - "T : 83860 10469 3399 1127 1145 [100000]\n", + "T : 81735 10699 4479 1503 1584 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 1.1313e-02 sec\n", - "--- Collate = 7.2964e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 7.0195e-02 sec\n", + "--- Collate = 6.0176e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.529616e-08 < 6.250000e-03 [681]\n", - "--- Max DT=5.085321e-01 > 1.000000e-01 [67146]\n", + "--- Min DT=8.353903e-06 < 6.250000e-03 [961]\n", + "--- Max DT=7.645972e-01 > 1.000000e-01 [68841]\n", "----------------------------------------------------------------------\n", - " Component | low: 681/100000\n", - " Component | high: 67146/100000\n", + " Component | low: 961/100000\n", + " Component | high: 68841/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=56.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00150607 [ 0.92 %]\n", - "Velocity : 0.00407621 [ 2.48 %]\n", - "Force : 0.0632419 [ 38.50 %]\n", - "Coefs : 0.0247659 [ 15.08 %]\n", - "Output : 0.00168235 [ 1.02 %]\n", - "Levels : 0.000315518 [ 0.19 %]\n", - "Report : 1.161e-06 [ 0.00 %]\n", - "Balance : 3.06e-07 [ 0.00 %]\n", - "Adjust : 0.0686031 [ 41.77 %]\n", - "Total : 0.164248 [100.00 %]\n", + "Drift : 0.000791768 [ 0.03 %]\n", + "Velocity : 0.00328276 [ 0.11 %]\n", + "Force : 0.501385 [ 16.62 %]\n", + "Coefs : 1.81996 [ 60.31 %]\n", + "Output : 0.00145339 [ 0.05 %]\n", + "Levels : 0.000358503 [ 0.01 %]\n", + "Report : 1.565e-06 [ 0.00 %]\n", + "Balance : 3.71e-07 [ 0.00 %]\n", + "Adjust : 0.690339 [ 22.88 %]\n", + "Total : 3.01762 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5989 760 231 73 89 \n", - "1 : 6005 739 250 69 79 \n", - "2 : 5976 767 234 92 73 \n", - "3 : 5992 754 243 81 72 \n", - "4 : 5930 779 262 87 84 \n", - "5 : 6009 751 230 75 77 \n", - "6 : 5982 752 236 82 90 \n", - "7 : 5962 756 243 87 94 \n", - "8 : 6041 707 240 83 71 \n", - "9 : 5974 730 273 86 79 \n", - "10 : 5999 746 233 78 86 \n", - "11 : 5964 762 244 92 80 \n", - "12 : 5994 730 269 74 75 \n", - "13 : 5986 769 238 87 74 \n", + "0 : 5807 776 324 113 122 \n", + "1 : 5852 729 333 99 129 \n", + "2 : 5828 750 326 105 133 \n", + "3 : 5846 753 321 100 122 \n", + "4 : 5837 757 332 121 95 \n", + "5 : 5899 758 294 99 92 \n", + "6 : 5847 751 326 102 116 \n", + "7 : 5825 773 338 108 98 \n", + "8 : 5841 768 305 110 118 \n", + "9 : 5830 747 337 108 120 \n", + "10 : 5844 748 310 122 118 \n", + "11 : 5807 811 302 109 113 \n", + "12 : 5852 781 293 115 101 \n", + "13 : 5839 745 343 111 116 \n", "\n", - "T : 83803 10502 3426 1146 1123 [100000]\n", + "T : 81754 10647 4484 1522 1593 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", + "--- Coef/DT = 1.4%\n", "--- Adj/Tot = 1.6%\n", - "--- Update = 1.1565e-02 sec\n", - "--- Collate = 8.0942e-05 sec\n", + "--- Update = 6.7477e-02 sec\n", + "--- Collate = 8.0195e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.546096e-06 < 6.250000e-03 [673]\n", - "--- Max DT=5.164957e-01 > 1.000000e-01 [67129]\n", + "--- Min DT=4.087788e-06 < 6.250000e-03 [971]\n", + "--- Max DT=7.704774e-01 > 1.000000e-01 [68852]\n", "----------------------------------------------------------------------\n", - " Component | low: 673/100000\n", - " Component | high: 67129/100000\n", + " Component | low: 971/100000\n", + " Component | high: 68852/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=56.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0013471 [ 0.84 %]\n", - "Velocity : 0.00424593 [ 2.66 %]\n", - "Force : 0.0581097 [ 36.36 %]\n", - "Coefs : 0.023058 [ 14.43 %]\n", - "Output : 0.00156813 [ 0.98 %]\n", - "Levels : 0.000254785 [ 0.16 %]\n", - "Report : 7.01e-07 [ 0.00 %]\n", - "Balance : 3.06e-07 [ 0.00 %]\n", - "Adjust : 0.0711678 [ 44.53 %]\n", - "Total : 0.15981 [100.00 %]\n", + "Drift : 0.000728918 [ 0.02 %]\n", + "Velocity : 0.00261802 [ 0.08 %]\n", + "Force : 0.583196 [ 18.29 %]\n", + "Coefs : 1.92089 [ 60.26 %]\n", + "Output : 0.00145221 [ 0.05 %]\n", + "Levels : 0.000233586 [ 0.01 %]\n", + "Report : 5.46e-07 [ 0.00 %]\n", + "Balance : 4.55e-07 [ 0.00 %]\n", + "Adjust : 0.678708 [ 21.29 %]\n", + "Total : 3.18788 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5989 756 231 75 91 \n", - "1 : 5999 742 248 78 75 \n", - "2 : 5974 763 235 94 76 \n", - "3 : 6000 740 250 79 73 \n", - "4 : 5934 784 256 80 88 \n", - "5 : 6008 744 235 78 77 \n", - "6 : 5977 756 239 79 91 \n", - "7 : 5967 752 237 86 100 \n", - "8 : 6033 705 245 87 72 \n", - "9 : 5975 721 289 73 84 \n", - "10 : 5997 738 245 79 83 \n", - "11 : 5957 764 245 97 79 \n", - "12 : 5987 741 263 80 71 \n", - "13 : 5978 779 229 95 73 \n", + "0 : 5803 774 333 114 118 \n", + "1 : 5847 737 327 96 135 \n", + "2 : 5830 758 320 103 131 \n", + "3 : 5841 760 317 103 121 \n", + "4 : 5843 752 327 115 105 \n", + "5 : 5899 756 289 103 95 \n", + "6 : 5841 760 323 99 119 \n", + "7 : 5820 769 345 110 98 \n", + "8 : 5847 763 303 107 122 \n", + "9 : 5828 748 330 113 123 \n", + "10 : 5839 758 309 120 116 \n", + "11 : 5811 805 303 120 103 \n", + "12 : 5853 774 301 110 104 \n", + "13 : 5840 735 351 108 120 \n", "\n", - "T : 83775 10485 3447 1160 1133 [100000]\n", + "T : 81742 10649 4478 1521 1610 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.7%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.0773e-02 sec\n", - "--- Collate = 6.9835e-05 sec\n", + "--- Coef/DT = 2.6%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 4.0380e-02 sec\n", + "--- Collate = 4.0466e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.151374e-06 < 6.250000e-03 [682]\n", - "--- Max DT=5.505950e-01 > 1.000000e-01 [67117]\n", + "--- Min DT=4.925729e-07 < 6.250000e-03 [960]\n", + "--- Max DT=7.763640e-01 > 1.000000e-01 [68875]\n", "----------------------------------------------------------------------\n", - " Component | low: 682/100000\n", - " Component | high: 67117/100000\n", + " Component | low: 960/100000\n", + " Component | high: 68875/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=56.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00131313 [ 0.81 %]\n", - "Velocity : 0.00338777 [ 2.10 %]\n", - "Force : 0.0575925 [ 35.72 %]\n", - "Coefs : 0.0226987 [ 14.08 %]\n", - "Output : 0.00146098 [ 0.91 %]\n", - "Levels : 0.000226661 [ 0.14 %]\n", - "Report : 8.38e-07 [ 0.00 %]\n", - "Balance : 3.1e-07 [ 0.00 %]\n", - "Adjust : 0.0745213 [ 46.21 %]\n", - "Total : 0.161256 [100.00 %]\n", + "Drift : 0.000722673 [ 0.02 %]\n", + "Velocity : 0.00279571 [ 0.09 %]\n", + "Force : 0.574636 [ 17.91 %]\n", + "Coefs : 1.97749 [ 61.62 %]\n", + "Output : 0.00145625 [ 0.05 %]\n", + "Levels : 0.00135113 [ 0.04 %]\n", + "Report : 8.56e-07 [ 0.00 %]\n", + "Balance : 3.39e-07 [ 0.00 %]\n", + "Adjust : 0.650561 [ 20.27 %]\n", + "Total : 3.20907 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5975 776 228 72 91 \n", - "1 : 5994 745 251 83 69 \n", - "2 : 5974 766 232 94 76 \n", - "3 : 6001 734 254 78 75 \n", - "4 : 5924 797 253 79 89 \n", - "5 : 5998 757 235 77 75 \n", - "6 : 5972 764 236 84 86 \n", - "7 : 5960 756 234 93 99 \n", - "8 : 6027 712 248 88 67 \n", - "9 : 5971 733 276 80 82 \n", - "10 : 5988 747 242 87 78 \n", - "11 : 5954 765 247 94 82 \n", - "12 : 5986 739 260 87 70 \n", - "13 : 5974 780 229 89 82 \n", + "0 : 5804 770 334 110 124 \n", + "1 : 5845 748 319 96 134 \n", + "2 : 5832 758 322 99 131 \n", + "3 : 5837 764 314 109 118 \n", + "4 : 5841 755 314 129 103 \n", + "5 : 5903 758 281 109 91 \n", + "6 : 5841 746 338 103 114 \n", + "7 : 5826 766 341 109 100 \n", + "8 : 5849 751 312 106 124 \n", + "9 : 5831 748 319 122 122 \n", + "10 : 5843 743 321 116 119 \n", + "11 : 5812 798 308 116 108 \n", + "12 : 5860 763 306 106 107 \n", + "13 : 5844 727 356 108 119 \n", "\n", - "T : 83698 10571 3425 1185 1121 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81768 10595 4485 1538 1614 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 1.2255e-02 sec\n", - "--- Collate = 9.6785e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 7.3306e-02 sec\n", + "--- Collate = 3.7890e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.209693e-05 < 6.250000e-03 [691]\n", - "--- Max DT=5.709524e-01 > 1.000000e-01 [67100]\n", + "--- Min DT=5.145136e-06 < 6.250000e-03 [943]\n", + "--- Max DT=7.822570e-01 > 1.000000e-01 [68900]\n", "----------------------------------------------------------------------\n", - " Component | low: 691/100000\n", - " Component | high: 67100/100000\n", + " Component | low: 943/100000\n", + " Component | high: 68900/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=56.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00126151 [ 0.78 %]\n", - "Velocity : 0.00332661 [ 2.07 %]\n", - "Force : 0.0613996 [ 38.15 %]\n", - "Coefs : 0.0219321 [ 13.63 %]\n", - "Output : 0.00147679 [ 0.92 %]\n", - "Levels : 0.000245973 [ 0.15 %]\n", - "Report : 7.49e-07 [ 0.00 %]\n", - "Balance : 3.56e-07 [ 0.00 %]\n", - "Adjust : 0.0712315 [ 44.26 %]\n", - "Total : 0.160933 [100.00 %]\n", + "Drift : 0.000917661 [ 0.02 %]\n", + "Velocity : 0.00288701 [ 0.08 %]\n", + "Force : 0.604391 [ 16.41 %]\n", + "Coefs : 2.22803 [ 60.48 %]\n", + "Output : 0.00125324 [ 0.03 %]\n", + "Levels : 0.000316369 [ 0.01 %]\n", + "Report : 7.59e-07 [ 0.00 %]\n", + "Balance : 4.27e-07 [ 0.00 %]\n", + "Adjust : 0.845802 [ 22.96 %]\n", + "Total : 3.68365 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5980 774 222 77 89 \n", - "1 : 5989 745 254 80 74 \n", - "2 : 5968 762 242 89 81 \n", - "3 : 5994 733 264 77 74 \n", - "4 : 5929 800 246 78 89 \n", - "5 : 5995 756 236 83 72 \n", - "6 : 5971 760 246 78 87 \n", - "7 : 5960 759 229 91 103 \n", - "8 : 6027 710 248 89 68 \n", - "9 : 5967 734 276 84 81 \n", - "10 : 5979 753 250 82 78 \n", - "11 : 5952 760 254 92 84 \n", - "12 : 5982 749 259 77 75 \n", - "13 : 5974 779 230 85 86 \n", + "0 : 5805 774 330 109 124 \n", + "1 : 5840 751 319 101 131 \n", + "2 : 5834 752 322 103 131 \n", + "3 : 5844 754 322 114 108 \n", + "4 : 5836 767 312 121 106 \n", + "5 : 5914 737 291 103 97 \n", + "6 : 5845 743 338 110 106 \n", + "7 : 5820 768 334 114 106 \n", + "8 : 5846 750 306 120 120 \n", + "9 : 5832 754 311 122 123 \n", + "10 : 5840 743 323 117 119 \n", + "11 : 5815 793 308 113 113 \n", + "12 : 5856 760 311 103 112 \n", + "13 : 5852 725 349 112 116 \n", "\n", - "T : 83667 10574 3456 1162 1141 [100000]\n", + "T : 81779 10571 4476 1562 1612 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.3%\n", - "--- Adj/Tot = 1.8%\n", - "--- Update = 1.0949e-02 sec\n", - "--- Collate = 6.6760e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 5.4560e-02 sec\n", + "--- Collate = 3.0409e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.917077e-07 < 6.250000e-03 [693]\n", - "--- Max DT=5.780425e-01 > 1.000000e-01 [67083]\n", + "--- Min DT=3.635184e-06 < 6.250000e-03 [959]\n", + "--- Max DT=7.881562e-01 > 1.000000e-01 [68925]\n", "----------------------------------------------------------------------\n", - " Component | low: 693/100000\n", - " Component | high: 67083/100000\n", + " Component | low: 959/100000\n", + " Component | high: 68925/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=56.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00124582 [ 0.63 %]\n", - "Velocity : 0.00392682 [ 1.97 %]\n", - "Force : 0.0713028 [ 35.78 %]\n", - "Coefs : 0.025036 [ 12.56 %]\n", - "Output : 0.0016144 [ 0.81 %]\n", - "Levels : 0.000245975 [ 0.12 %]\n", - "Report : 8.03e-07 [ 0.00 %]\n", - "Balance : 2.72e-07 [ 0.00 %]\n", - "Adjust : 0.0958332 [ 48.09 %]\n", - "Total : 0.199262 [100.00 %]\n", + "Drift : 0.000743136 [ 0.02 %]\n", + "Velocity : 0.00236164 [ 0.06 %]\n", + "Force : 0.725708 [ 17.84 %]\n", + "Coefs : 2.49247 [ 61.29 %]\n", + "Output : 0.00134021 [ 0.03 %]\n", + "Levels : 0.00983068 [ 0.24 %]\n", + "Report : 1.301e-06 [ 0.00 %]\n", + "Balance : 3.65e-07 [ 0.00 %]\n", + "Adjust : 0.834239 [ 20.51 %]\n", + "Total : 4.06675 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5976 773 224 82 87 \n", - "1 : 5985 744 255 82 76 \n", - "2 : 5969 767 234 91 81 \n", - "3 : 5988 745 259 71 79 \n", - "4 : 5927 796 248 82 89 \n", - "5 : 5990 760 240 81 71 \n", - "6 : 5974 754 247 79 88 \n", - "7 : 5955 762 232 88 105 \n", - "8 : 6020 715 254 84 69 \n", - "9 : 5972 734 266 89 81 \n", - "10 : 5974 749 262 80 77 \n", - "11 : 5948 767 255 84 88 \n", - "12 : 5981 751 260 73 77 \n", - "13 : 5969 776 233 86 90 \n", + "0 : 5806 779 317 121 119 \n", + "1 : 5843 743 314 110 132 \n", + "2 : 5832 749 329 108 124 \n", + "3 : 5849 751 319 116 107 \n", + "4 : 5836 756 320 118 112 \n", + "5 : 5906 737 304 92 103 \n", + "6 : 5851 731 348 107 105 \n", + "7 : 5818 769 335 108 112 \n", + "8 : 5848 745 306 121 122 \n", + "9 : 5831 756 317 119 119 \n", + "10 : 5837 749 326 110 120 \n", + "11 : 5822 778 323 108 111 \n", + "12 : 5856 760 312 100 114 \n", + "13 : 5854 723 356 108 113 \n", "\n", - "T : 83628 10593 3469 1152 1158 [100000]\n", + "T : 81789 10526 4526 1546 1613 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.7%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 1.0632e-02 sec\n", - "--- Collate = 1.6453e-04 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 4.4430e-02 sec\n", + "--- Collate = 5.0571e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.943350e-06 < 6.250000e-03 [687]\n", - "--- Max DT=5.876247e-01 > 1.000000e-01 [67048]\n", + "--- Min DT=1.039510e-05 < 6.250000e-03 [974]\n", + "--- Max DT=7.940616e-01 > 1.000000e-01 [68934]\n", "----------------------------------------------------------------------\n", - " Component | low: 687/100000\n", - " Component | high: 67048/100000\n", + " Component | low: 974/100000\n", + " Component | high: 68934/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=56.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00124709 [ 0.75 %]\n", - "Velocity : 0.00334689 [ 2.02 %]\n", - "Force : 0.0602415 [ 36.39 %]\n", - "Coefs : 0.0251576 [ 15.20 %]\n", - "Output : 0.0018455 [ 1.11 %]\n", - "Levels : 0.000274909 [ 0.17 %]\n", - "Report : 6.29e-07 [ 0.00 %]\n", - "Balance : 2.65e-07 [ 0.00 %]\n", - "Adjust : 0.0733426 [ 44.31 %]\n", - "Total : 0.165538 [100.00 %]\n", + "Drift : 0.000565421 [ 0.02 %]\n", + "Velocity : 0.00225295 [ 0.07 %]\n", + "Force : 0.52842 [ 15.89 %]\n", + "Coefs : 2.12612 [ 63.95 %]\n", + "Output : 0.00137317 [ 0.04 %]\n", + "Levels : 0.000291969 [ 0.01 %]\n", + "Report : 1.13e-06 [ 0.00 %]\n", + "Balance : 2.15e-07 [ 0.00 %]\n", + "Adjust : 0.665764 [ 20.02 %]\n", + "Total : 3.32484 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5970 776 215 95 86 \n", - "1 : 5979 746 254 85 78 \n", - "2 : 5968 767 241 83 83 \n", - "3 : 5994 740 252 76 80 \n", - "4 : 5931 789 256 74 92 \n", - "5 : 5995 749 244 78 76 \n", - "6 : 5971 752 252 79 88 \n", - "7 : 5955 767 229 85 106 \n", - "8 : 6018 713 258 82 71 \n", - "9 : 5969 737 269 84 83 \n", - "10 : 5967 757 256 85 77 \n", - "11 : 5947 755 270 85 85 \n", - "12 : 5980 755 252 80 75 \n", - "13 : 5972 773 235 91 83 \n", + "0 : 5811 766 329 116 120 \n", + "1 : 5845 740 316 116 125 \n", + "2 : 5828 753 327 108 126 \n", + "3 : 5854 742 314 118 114 \n", + "4 : 5833 758 324 112 115 \n", + "5 : 5902 740 298 103 99 \n", + "6 : 5854 735 348 102 103 \n", + "7 : 5817 766 336 117 106 \n", + "8 : 5849 745 305 117 126 \n", + "9 : 5825 762 311 113 131 \n", + "10 : 5832 755 321 106 128 \n", + "11 : 5818 781 327 110 106 \n", + "12 : 5859 755 322 101 105 \n", + "13 : 5846 729 347 113 119 \n", "\n", - "T : 83616 10576 3483 1162 1163 [100000]\n", + "T : 81773 10527 4525 1552 1623 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.6%\n", - "--- Adj/Tot = 1.8%\n", - "--- Update = 1.1943e-02 sec\n", - "--- Collate = 7.5606e-05 sec\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 5.3514e-02 sec\n", + "--- Collate = 1.2016e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.321848e-06 < 6.250000e-03 [680]\n", - "--- Max DT=5.946328e-01 > 1.000000e-01 [67025]\n", + "--- Min DT=2.790699e-06 < 6.250000e-03 [967]\n", + "--- Max DT=7.999732e-01 > 1.000000e-01 [68956]\n", "----------------------------------------------------------------------\n", - " Component | low: 680/100000\n", - " Component | high: 67025/100000\n", + " Component | low: 967/100000\n", + " Component | high: 68956/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=56.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00117383 [ 0.73 %]\n", - "Velocity : 0.00363292 [ 2.25 %]\n", - "Force : 0.0600146 [ 37.12 %]\n", - "Coefs : 0.0229114 [ 14.17 %]\n", - "Output : 0.00148579 [ 0.92 %]\n", - "Levels : 0.000249869 [ 0.15 %]\n", - "Report : 5.69e-07 [ 0.00 %]\n", - "Balance : 2.45e-07 [ 0.00 %]\n", - "Adjust : 0.0721395 [ 44.62 %]\n", - "Total : 0.161665 [100.00 %]\n", - "----------------------------------------------------------------------\n", - "\n", - "----------------------------------------------------------------------\n", - "--- Level info--------------------------------------------------------\n", - "----------------------------------------------------------------------\n", - "0 : 5964 776 223 96 83 \n", - "1 : 5981 747 254 82 78 \n", - "2 : 5961 771 241 88 81 \n", - "3 : 5986 744 253 80 79 \n", - "4 : 5927 789 263 71 92 \n", - "5 : 5998 743 242 77 82 \n", - "6 : 5964 764 242 89 83 \n", - "7 : 5949 771 230 92 100 \n", - "8 : 6021 712 262 74 73 \n", - "9 : 5967 745 256 87 87 \n", - "10 : 5959 763 252 95 73 \n", - "11 : 5949 749 277 83 84 \n", - "12 : 5971 753 265 76 77 \n", - "13 : 5971 777 235 93 78 \n", - "\n", - "T : 83568 10604 3495 1183 1150 [100000]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000727948 [ 0.02 %]\n", + "Velocity : 0.00250196 [ 0.07 %]\n", + "Force : 0.54873 [ 16.17 %]\n", + "Coefs : 2.13039 [ 62.78 %]\n", + "Output : 0.00129879 [ 0.04 %]\n", + "Levels : 0.000451506 [ 0.01 %]\n", + "Report : 1.27e-06 [ 0.00 %]\n", + "Balance : 4.35e-07 [ 0.00 %]\n", + "Adjust : 0.709467 [ 20.91 %]\n", + "Total : 3.39363 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5814 762 334 106 126 \n", + "1 : 5843 736 321 123 119 \n", + "2 : 5831 752 323 104 132 \n", + "3 : 5855 740 313 121 113 \n", + "4 : 5833 749 331 112 117 \n", + "5 : 5897 745 293 111 96 \n", + "6 : 5853 732 356 98 103 \n", + "7 : 5819 761 336 115 111 \n", + "8 : 5848 751 296 115 132 \n", + "9 : 5827 765 304 113 133 \n", + "10 : 5830 767 311 105 129 \n", + "11 : 5822 772 341 91 116 \n", + "12 : 5859 765 311 91 116 \n", + "13 : 5845 729 347 112 121 \n", + "\n", + "T : 81776 10526 4517 1517 1664 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.1%\n", + "--- Coef/DT = 7.1%\n", "--- Adj/Tot = 1.6%\n", - "--- Update = 1.0816e-02 sec\n", - "--- Collate = 6.3764e-05 sec\n", + "--- Update = 7.1576e-02 sec\n", + "--- Collate = 8.0711e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.963828e-05 < 6.250000e-03 [693]\n", - "--- Max DT=6.016241e-01 > 1.000000e-01 [67044]\n", + "--- Min DT=1.181726e-06 < 6.250000e-03 [996]\n", + "--- Max DT=8.058911e-01 > 1.000000e-01 [68974]\n", "----------------------------------------------------------------------\n", - " Component | low: 693/100000\n", - " Component | high: 67044/100000\n", + " Component | low: 996/100000\n", + " Component | high: 68974/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=57] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00135799 [ 0.83 %]\n", - "Velocity : 0.00373903 [ 2.29 %]\n", - "Force : 0.0570788 [ 34.91 %]\n", - "Coefs : 0.0223583 [ 13.67 %]\n", - "Output : 0.00729138 [ 4.46 %]\n", - "Levels : 0.000238504 [ 0.15 %]\n", - "Report : 7.85e-07 [ 0.00 %]\n", - "Balance : 6.29e-07 [ 0.00 %]\n", - "Adjust : 0.0713827 [ 43.66 %]\n", - "Total : 0.1635 [100.00 %]\n", + "Drift : 0.000681099 [ 0.02 %]\n", + "Velocity : 0.00228177 [ 0.07 %]\n", + "Force : 0.553497 [ 17.15 %]\n", + "Coefs : 1.96031 [ 60.74 %]\n", + "Output : 0.00574918 [ 0.18 %]\n", + "Levels : 0.000271638 [ 0.01 %]\n", + "Report : 1.272e-06 [ 0.00 %]\n", + "Balance : 5.47e-07 [ 0.00 %]\n", + "Adjust : 0.704547 [ 21.83 %]\n", + "Total : 3.22739 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5966 765 227 94 90 \n", - "1 : 5982 747 253 77 83 \n", - "2 : 5961 770 235 97 79 \n", - "3 : 5987 733 270 78 74 \n", - "4 : 5930 785 266 71 90 \n", - "5 : 5994 746 240 73 89 \n", - "6 : 5955 774 247 77 89 \n", - "7 : 5944 770 239 93 96 \n", - "8 : 6010 720 264 80 68 \n", - "9 : 5959 758 247 93 85 \n", - "10 : 5955 768 257 86 76 \n", - "11 : 5941 759 279 84 79 \n", - "12 : 5972 754 266 74 76 \n", - "13 : 5973 766 244 93 78 \n", + "0 : 5814 761 335 110 122 \n", + "1 : 5844 736 322 116 124 \n", + "2 : 5835 746 331 109 121 \n", + "3 : 5855 741 311 133 102 \n", + "4 : 5834 754 329 111 114 \n", + "5 : 5894 747 301 96 104 \n", + "6 : 5856 727 359 96 104 \n", + "7 : 5818 769 331 105 119 \n", + "8 : 5854 742 299 125 122 \n", + "9 : 5819 762 319 104 138 \n", + "10 : 5836 755 322 105 124 \n", + "11 : 5820 772 348 90 112 \n", + "12 : 5862 759 311 98 112 \n", + "13 : 5839 731 352 115 117 \n", "\n", - "T : 83529 10615 3534 1170 1152 [100000]\n", + "T : 81780 10502 4570 1513 1635 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 1.1511e-02 sec\n", - "--- Collate = 6.6567e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 6.3618e-02 sec\n", + "--- Collate = 7.0320e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.369425e-06 < 6.250000e-03 [688]\n", - "--- Max DT=6.480213e-01 > 1.000000e-01 [67036]\n", + "--- Min DT=2.923124e-06 < 6.250000e-03 [1015]\n", + "--- Max DT=8.118150e-01 > 1.000000e-01 [68978]\n", "----------------------------------------------------------------------\n", - " Component | low: 688/100000\n", - " Component | high: 67036/100000\n", + " Component | low: 1015/100000\n", + " Component | high: 68978/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=57.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000788052 [ 0.51 %]\n", - "Velocity : 0.00306757 [ 1.97 %]\n", - "Force : 0.0557893 [ 35.85 %]\n", - "Coefs : 0.0217215 [ 13.96 %]\n", - "Output : 0.00160548 [ 1.03 %]\n", - "Levels : 0.000237885 [ 0.15 %]\n", - "Report : 6.72e-07 [ 0.00 %]\n", - "Balance : 2.76e-07 [ 0.00 %]\n", - "Adjust : 0.0723465 [ 46.49 %]\n", - "Total : 0.155627 [100.00 %]\n", + "Drift : 0.000760128 [ 0.02 %]\n", + "Velocity : 0.00259632 [ 0.08 %]\n", + "Force : 0.547907 [ 16.10 %]\n", + "Coefs : 2.05083 [ 60.25 %]\n", + "Output : 0.00150195 [ 0.04 %]\n", + "Levels : 0.000267439 [ 0.01 %]\n", + "Report : 6.42e-07 [ 0.00 %]\n", + "Balance : 2.17e-07 [ 0.00 %]\n", + "Adjust : 0.800096 [ 23.50 %]\n", + "Total : 3.40402 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5964 762 231 91 94 \n", - "1 : 5983 748 252 77 82 \n", - "2 : 5954 771 244 97 76 \n", - "3 : 5982 749 255 81 75 \n", - "4 : 5928 784 269 72 89 \n", - "5 : 5998 747 234 75 88 \n", - "6 : 5956 773 249 79 85 \n", - "7 : 5941 769 245 98 89 \n", - "8 : 6005 722 265 83 67 \n", - "9 : 5955 763 240 95 89 \n", - "10 : 5949 776 254 87 76 \n", - "11 : 5932 765 280 82 83 \n", - "12 : 5970 753 270 73 76 \n", - "13 : 5973 761 253 88 79 \n", + "0 : 5810 767 331 112 122 \n", + "1 : 5840 733 333 113 123 \n", + "2 : 5824 753 340 106 119 \n", + "3 : 5857 742 302 138 103 \n", + "4 : 5832 753 337 112 108 \n", + "5 : 5900 737 300 93 112 \n", + "6 : 5855 728 363 93 103 \n", + "7 : 5816 769 335 97 125 \n", + "8 : 5849 743 304 110 136 \n", + "9 : 5819 758 322 106 137 \n", + "10 : 5838 761 315 103 125 \n", + "11 : 5821 769 341 102 109 \n", + "12 : 5857 758 321 92 114 \n", + "13 : 5841 725 349 123 116 \n", "\n", - "T : 83490 10643 3541 1178 1148 [100000]\n", + "T : 81759 10496 4593 1500 1652 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 7.2%\n", - "--- Adj/Tot = 1.8%\n", - "--- Update = 1.1135e-02 sec\n", - "--- Collate = 6.8555e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 6.9580e-02 sec\n", + "--- Collate = 4.0346e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.081435e-07 < 6.250000e-03 [696]\n", - "--- Max DT=6.488249e-01 > 1.000000e-01 [67036]\n", + "--- Min DT=3.307986e-06 < 6.250000e-03 [1021]\n", + "--- Max DT=8.177450e-01 > 1.000000e-01 [68984]\n", "----------------------------------------------------------------------\n", - " Component | low: 696/100000\n", - " Component | high: 67036/100000\n", + " Component | low: 1021/100000\n", + " Component | high: 68984/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=57.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00116527 [ 0.75 %]\n", - "Velocity : 0.00380698 [ 2.44 %]\n", - "Force : 0.0570526 [ 36.53 %]\n", - "Coefs : 0.0215909 [ 13.83 %]\n", - "Output : 0.00162835 [ 1.04 %]\n", - "Levels : 0.000280203 [ 0.18 %]\n", - "Report : 6.47e-07 [ 0.00 %]\n", - "Balance : 3.07e-07 [ 0.00 %]\n", - "Adjust : 0.070589 [ 45.20 %]\n", - "Total : 0.156172 [100.00 %]\n", + "Drift : 0.000721422 [ 0.02 %]\n", + "Velocity : 0.00226788 [ 0.06 %]\n", + "Force : 0.535016 [ 15.03 %]\n", + "Coefs : 2.25088 [ 63.24 %]\n", + "Output : 0.00122891 [ 0.03 %]\n", + "Levels : 0.000423957 [ 0.01 %]\n", + "Report : 9.37e-07 [ 0.00 %]\n", + "Balance : 4.09e-07 [ 0.00 %]\n", + "Adjust : 0.768845 [ 21.60 %]\n", + "Total : 3.55944 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5962 759 238 90 93 \n", - "1 : 5982 743 256 76 85 \n", - "2 : 5953 765 256 93 75 \n", - "3 : 5978 746 266 73 79 \n", - "4 : 5926 792 262 74 88 \n", - "5 : 5999 742 239 81 81 \n", - "6 : 5958 767 254 77 86 \n", - "7 : 5939 767 253 89 94 \n", - "8 : 6001 728 261 85 67 \n", - "9 : 5952 763 246 81 100 \n", - "10 : 5949 769 262 90 72 \n", - "11 : 5933 762 283 76 88 \n", - "12 : 5968 753 269 67 85 \n", - "13 : 5972 764 255 81 82 \n", + "0 : 5818 761 320 119 124 \n", + "1 : 5839 736 329 117 121 \n", + "2 : 5818 758 337 108 121 \n", + "3 : 5846 751 303 142 100 \n", + "4 : 5832 746 345 109 110 \n", + "5 : 5900 737 305 88 112 \n", + "6 : 5852 739 355 82 114 \n", + "7 : 5820 761 342 95 124 \n", + "8 : 5844 754 309 103 132 \n", + "9 : 5820 754 323 104 141 \n", + "10 : 5841 762 315 102 122 \n", + "11 : 5819 779 332 104 108 \n", + "12 : 5857 754 322 91 118 \n", + "13 : 5838 729 349 124 114 \n", "\n", - "T : 83472 10620 3600 1133 1175 [100000]\n", + "T : 81744 10521 4586 1488 1661 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.6%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.1277e-02 sec\n", - "--- Collate = 7.2312e-05 sec\n", + "--- Coef/DT = 39.9%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 5.4594e-02 sec\n", + "--- Collate = 8.0169e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.233603e-05 < 6.250000e-03 [698]\n", - "--- Max DT=7.320708e-01 > 1.000000e-01 [67026]\n", + "--- Min DT=1.763138e-06 < 6.250000e-03 [1004]\n", + "--- Max DT=8.236811e-01 > 1.000000e-01 [68990]\n", "----------------------------------------------------------------------\n", - " Component | low: 698/100000\n", - " Component | high: 67026/100000\n", + " Component | low: 1004/100000\n", + " Component | high: 68990/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=57.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00140579 [ 0.91 %]\n", - "Velocity : 0.00376996 [ 2.45 %]\n", - "Force : 0.0558217 [ 36.27 %]\n", - "Coefs : 0.021688 [ 14.09 %]\n", - "Output : 0.00160939 [ 1.05 %]\n", - "Levels : 0.000231731 [ 0.15 %]\n", - "Report : 9.06e-07 [ 0.00 %]\n", - "Balance : 3.06e-07 [ 0.00 %]\n", - "Adjust : 0.0693336 [ 45.05 %]\n", - "Total : 0.153914 [100.00 %]\n", + "Drift : 0.000517061 [ 0.02 %]\n", + "Velocity : 0.00294518 [ 0.12 %]\n", + "Force : 0.460563 [ 18.15 %]\n", + "Coefs : 1.48666 [ 58.59 %]\n", + "Output : 0.00133449 [ 0.05 %]\n", + "Levels : 0.000213043 [ 0.01 %]\n", + "Report : 6.36e-07 [ 0.00 %]\n", + "Balance : 4.52e-07 [ 0.00 %]\n", + "Adjust : 0.584929 [ 23.05 %]\n", + "Total : 2.53721 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5965 751 245 88 93 \n", - "1 : 5981 741 259 74 87 \n", - "2 : 5947 771 260 91 73 \n", - "3 : 5970 756 260 82 74 \n", - "4 : 5925 788 268 78 83 \n", - "5 : 6001 730 249 77 85 \n", - "6 : 5959 764 253 80 86 \n", - "7 : 5936 761 262 91 92 \n", - "8 : 5995 730 265 85 67 \n", - "9 : 5957 758 242 85 100 \n", - "10 : 5945 765 268 94 70 \n", - "11 : 5934 764 282 76 86 \n", - "12 : 5959 759 267 72 85 \n", - "13 : 5977 760 252 85 80 \n", + "0 : 5816 765 321 113 127 \n", + "1 : 5829 753 333 110 117 \n", + "2 : 5812 757 346 114 113 \n", + "3 : 5856 742 314 128 102 \n", + "4 : 5825 755 340 115 107 \n", + "5 : 5906 727 306 93 110 \n", + "6 : 5849 738 349 94 112 \n", + "7 : 5818 763 339 97 125 \n", + "8 : 5846 753 302 116 125 \n", + "9 : 5822 759 320 101 140 \n", + "10 : 5844 755 323 105 115 \n", + "11 : 5811 789 335 94 113 \n", + "12 : 5851 764 319 86 122 \n", + "13 : 5839 735 349 117 114 \n", "\n", - "T : 83451 10598 3632 1158 1161 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81724 10555 4596 1483 1642 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.4%\n", + "--- Coef/DT = 2.5%\n", "--- Adj/Tot = 1.6%\n", - "--- Update = 1.0854e-02 sec\n", - "--- Collate = 6.3332e-05 sec\n", + "--- Update = 4.2355e-02 sec\n", + "--- Collate = 1.0628e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.428525e-06 < 6.250000e-03 [717]\n", - "--- Max DT=7.724579e-01 > 1.000000e-01 [67006]\n", + "--- Min DT=3.752899e-06 < 6.250000e-03 [1000]\n", + "--- Max DT=8.296232e-01 > 1.000000e-01 [68988]\n", "----------------------------------------------------------------------\n", - " Component | low: 717/100000\n", - " Component | high: 67006/100000\n", + " Component | low: 1000/100000\n", + " Component | high: 68988/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=57.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00116458 [ 0.75 %]\n", - "Velocity : 0.00362849 [ 2.35 %]\n", - "Force : 0.0554969 [ 35.93 %]\n", - "Coefs : 0.0213089 [ 13.80 %]\n", - "Output : 0.00158494 [ 1.03 %]\n", - "Levels : 0.000229575 [ 0.15 %]\n", - "Report : 8.28e-07 [ 0.00 %]\n", - "Balance : 2.61e-07 [ 0.00 %]\n", - "Adjust : 0.0709798 [ 45.96 %]\n", - "Total : 0.154451 [100.00 %]\n", + "Drift : 0.000524083 [ 0.02 %]\n", + "Velocity : 0.00232099 [ 0.07 %]\n", + "Force : 0.527551 [ 16.40 %]\n", + "Coefs : 2.03899 [ 63.40 %]\n", + "Output : 0.000997505 [ 0.03 %]\n", + "Levels : 0.000288104 [ 0.01 %]\n", + "Report : 1.131e-06 [ 0.00 %]\n", + "Balance : 3.54e-07 [ 0.00 %]\n", + "Adjust : 0.645259 [ 20.06 %]\n", + "Total : 3.21599 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5962 756 239 92 93 \n", - "1 : 5982 728 268 69 95 \n", - "2 : 5938 778 268 84 74 \n", - "3 : 5969 765 243 87 78 \n", - "4 : 5927 790 253 95 77 \n", - "5 : 6000 730 250 77 85 \n", - "6 : 5959 761 254 83 85 \n", - "7 : 5927 772 264 84 95 \n", - "8 : 5992 729 268 94 59 \n", - "9 : 5953 763 237 88 101 \n", - "10 : 5941 776 259 94 72 \n", - "11 : 5937 757 291 77 80 \n", - "12 : 5951 764 262 78 87 \n", - "13 : 5974 768 244 90 78 \n", + "0 : 5818 768 315 108 133 \n", + "1 : 5838 742 344 99 119 \n", + "2 : 5821 750 350 107 114 \n", + "3 : 5857 736 319 113 117 \n", + "4 : 5826 757 339 110 110 \n", + "5 : 5903 738 293 92 116 \n", + "6 : 5837 752 341 101 111 \n", + "7 : 5816 769 330 103 124 \n", + "8 : 5845 757 308 111 121 \n", + "9 : 5824 768 308 101 141 \n", + "10 : 5850 750 316 115 111 \n", + "11 : 5809 789 320 109 115 \n", + "12 : 5849 769 313 88 123 \n", + "13 : 5836 740 349 110 119 \n", "\n", - "T : 83412 10637 3600 1192 1159 [100000]\n", + "T : 81729 10585 4545 1467 1674 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.1565e-02 sec\n", - "--- Collate = 6.9658e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 5.8620e-02 sec\n", + "--- Collate = 1.3408e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.092138e-07 < 6.250000e-03 [712]\n", - "--- Max DT=7.664340e-01 > 1.000000e-01 [66992]\n", + "--- Min DT=1.573818e-06 < 6.250000e-03 [979]\n", + "--- Max DT=8.355712e-01 > 1.000000e-01 [68989]\n", "----------------------------------------------------------------------\n", - " Component | low: 712/100000\n", - " Component | high: 66992/100000\n", + " Component | low: 979/100000\n", + " Component | high: 68989/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=57.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00075321 [ 0.46 %]\n", - "Velocity : 0.00522321 [ 3.16 %]\n", - "Force : 0.0584556 [ 35.40 %]\n", - "Coefs : 0.0215214 [ 13.03 %]\n", - "Output : 0.00165201 [ 1.00 %]\n", - "Levels : 0.000259405 [ 0.16 %]\n", - "Report : 6.1e-07 [ 0.00 %]\n", - "Balance : 3.17e-07 [ 0.00 %]\n", - "Adjust : 0.077205 [ 46.75 %]\n", - "Total : 0.165129 [100.00 %]\n", + "Drift : 0.00052524 [ 0.02 %]\n", + "Velocity : 0.00192074 [ 0.06 %]\n", + "Force : 0.546175 [ 17.44 %]\n", + "Coefs : 1.94536 [ 62.11 %]\n", + "Output : 0.00130683 [ 0.04 %]\n", + "Levels : 0.00846595 [ 0.27 %]\n", + "Report : 1.072e-06 [ 0.00 %]\n", + "Balance : 3.69e-07 [ 0.00 %]\n", + "Adjust : 0.628078 [ 20.05 %]\n", + "Total : 3.13187 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5960 756 243 86 97 \n", - "1 : 5978 729 271 65 99 \n", - "2 : 5947 763 272 88 72 \n", - "3 : 5969 764 244 86 79 \n", - "4 : 5934 778 249 112 69 \n", - "5 : 5994 740 248 76 84 \n", - "6 : 5952 760 258 89 83 \n", - "7 : 5925 777 256 86 98 \n", - "8 : 5993 728 268 89 64 \n", - "9 : 5949 772 230 91 100 \n", - "10 : 5942 775 263 90 72 \n", - "11 : 5933 759 293 76 81 \n", - "12 : 5942 771 258 82 89 \n", - "13 : 5973 763 248 83 87 \n", + "0 : 5819 771 312 106 134 \n", + "1 : 5836 751 332 112 111 \n", + "2 : 5827 740 352 113 110 \n", + "3 : 5862 731 324 110 115 \n", + "4 : 5822 760 342 108 110 \n", + "5 : 5901 741 288 98 114 \n", + "6 : 5843 749 339 96 115 \n", + "7 : 5823 766 324 99 130 \n", + "8 : 5849 754 303 120 116 \n", + "9 : 5827 756 307 114 138 \n", + "10 : 5854 743 312 120 113 \n", + "11 : 5807 792 324 104 115 \n", + "12 : 5840 774 316 93 119 \n", + "13 : 5834 745 342 108 125 \n", "\n", - "T : 83391 10635 3601 1199 1174 [100000]\n", + "T : 81744 10573 4517 1501 1665 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.3%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.6094e-02 sec\n", - "--- Collate = 1.0997e-04 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 6.5637e-02 sec\n", + "--- Collate = 5.3292e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.378218e-06 < 6.250000e-03 [713]\n", - "--- Max DT=7.631556e-01 > 1.000000e-01 [66991]\n", + "--- Min DT=6.829190e-06 < 6.250000e-03 [943]\n", + "--- Max DT=8.415253e-01 > 1.000000e-01 [69004]\n", "----------------------------------------------------------------------\n", - " Component | low: 713/100000\n", - " Component | high: 66991/100000\n", + " Component | low: 943/100000\n", + " Component | high: 69004/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=57.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00131306 [ 0.51 %]\n", - "Velocity : 0.008433 [ 3.30 %]\n", - "Force : 0.0938532 [ 36.69 %]\n", - "Coefs : 0.0292327 [ 11.43 %]\n", - "Output : 0.00180156 [ 0.70 %]\n", - "Levels : 0.000298725 [ 0.12 %]\n", - "Report : 5.83e-07 [ 0.00 %]\n", - "Balance : 3.39e-07 [ 0.00 %]\n", - "Adjust : 0.120826 [ 47.23 %]\n", - "Total : 0.255817 [100.00 %]\n", + "Drift : 0.000429514 [ 0.01 %]\n", + "Velocity : 0.0016637 [ 0.05 %]\n", + "Force : 0.524065 [ 16.08 %]\n", + "Coefs : 2.03141 [ 62.32 %]\n", + "Output : 0.00107285 [ 0.03 %]\n", + "Levels : 0.000292881 [ 0.01 %]\n", + "Report : 7.75e-07 [ 0.00 %]\n", + "Balance : 2.67e-07 [ 0.00 %]\n", + "Adjust : 0.700573 [ 21.49 %]\n", + "Total : 3.25955 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5956 765 239 85 97 \n", - "1 : 5977 740 260 68 97 \n", - "2 : 5946 763 275 79 79 \n", - "3 : 5970 761 237 93 81 \n", - "4 : 5935 773 249 105 80 \n", - "5 : 5987 744 247 71 93 \n", - "6 : 5950 762 257 85 88 \n", - "7 : 5922 772 265 87 96 \n", - "8 : 5988 728 270 90 66 \n", - "9 : 5947 766 239 92 98 \n", - "10 : 5938 772 268 87 77 \n", - "11 : 5930 750 298 82 82 \n", - "12 : 5944 766 259 89 84 \n", - "13 : 5981 749 256 80 88 \n", + "0 : 5816 774 320 104 128 \n", + "1 : 5839 741 341 112 109 \n", + "2 : 5827 734 354 117 110 \n", + "3 : 5858 724 339 111 110 \n", + "4 : 5822 761 340 118 101 \n", + "5 : 5896 741 302 87 116 \n", + "6 : 5837 751 339 98 117 \n", + "7 : 5822 767 326 103 124 \n", + "8 : 5849 751 307 119 116 \n", + "9 : 5824 763 305 124 126 \n", + "10 : 5861 738 307 120 116 \n", + "11 : 5803 797 324 105 113 \n", + "12 : 5839 777 314 95 117 \n", + "13 : 5832 740 355 102 125 \n", "\n", - "T : 83371 10611 3619 1193 1206 [100000]\n", + "T : 81725 10559 4573 1515 1628 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.6%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.0001e-02 sec\n", - "--- Collate = 7.7744e-05 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 6.7493e-02 sec\n", + "--- Collate = 5.0237e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.710249e-06 < 6.250000e-03 [708]\n", - "--- Max DT=7.609798e-01 > 1.000000e-01 [67001]\n", + "--- Min DT=9.504876e-07 < 6.250000e-03 [935]\n", + "--- Max DT=8.474852e-01 > 1.000000e-01 [69031]\n", "----------------------------------------------------------------------\n", - " Component | low: 708/100000\n", - " Component | high: 67001/100000\n", + " Component | low: 935/100000\n", + " Component | high: 69031/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=57.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00136503 [ 0.76 %]\n", - "Velocity : 0.00414136 [ 2.31 %]\n", - "Force : 0.069074 [ 38.55 %]\n", - "Coefs : 0.0272527 [ 15.21 %]\n", - "Output : 0.00169294 [ 0.94 %]\n", - "Levels : 0.000288688 [ 0.16 %]\n", - "Report : 1.291e-06 [ 0.00 %]\n", - "Balance : 6.32e-07 [ 0.00 %]\n", - "Adjust : 0.075286 [ 42.02 %]\n", - "Total : 0.17916 [100.00 %]\n", + "Drift : 0.000495305 [ 0.02 %]\n", + "Velocity : 0.00203971 [ 0.06 %]\n", + "Force : 0.533962 [ 16.67 %]\n", + "Coefs : 2.05161 [ 64.06 %]\n", + "Output : 0.000987397 [ 0.03 %]\n", + "Levels : 0.000231588 [ 0.01 %]\n", + "Report : 8.05e-07 [ 0.00 %]\n", + "Balance : 2.75e-07 [ 0.00 %]\n", + "Adjust : 0.613283 [ 19.15 %]\n", + "Total : 3.20266 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5960 749 255 76 102 \n", - "1 : 5978 737 260 74 93 \n", - "2 : 5943 755 286 77 81 \n", - "3 : 5966 760 248 87 81 \n", - "4 : 5927 777 256 94 88 \n", - "5 : 5973 745 258 77 89 \n", - "6 : 5949 758 258 89 88 \n", - "7 : 5922 767 268 91 94 \n", - "8 : 5996 715 270 94 67 \n", - "9 : 5942 761 247 92 100 \n", - "10 : 5940 768 271 81 82 \n", - "11 : 5932 750 291 80 89 \n", - "12 : 5949 747 275 94 77 \n", - "13 : 5970 750 265 78 91 \n", + "0 : 5808 777 325 111 121 \n", + "1 : 5841 740 345 111 105 \n", + "2 : 5818 749 345 128 102 \n", + "3 : 5857 729 330 121 105 \n", + "4 : 5821 766 342 110 103 \n", + "5 : 5896 741 305 79 121 \n", + "6 : 5838 754 339 96 115 \n", + "7 : 5822 768 322 109 121 \n", + "8 : 5854 744 311 123 110 \n", + "9 : 5828 759 307 129 119 \n", + "10 : 5860 743 304 114 121 \n", + "11 : 5807 786 324 105 120 \n", + "12 : 5833 781 317 103 108 \n", + "13 : 5829 744 349 108 124 \n", "\n", - "T : 83347 10539 3708 1184 1222 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81712 10581 4565 1547 1595 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.2%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 1.1163e-02 sec\n", - "--- Collate = 6.9742e-05 sec\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 5.7566e-02 sec\n", + "--- Collate = 6.0339e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.877364e-06 < 6.250000e-03 [727]\n", - "--- Max DT=7.607206e-01 > 1.000000e-01 [67015]\n", + "--- Min DT=3.069485e-08 < 6.250000e-03 [935]\n", + "--- Max DT=8.534510e-01 > 1.000000e-01 [69049]\n", "----------------------------------------------------------------------\n", - " Component | low: 727/100000\n", - " Component | high: 67015/100000\n", + " Component | low: 935/100000\n", + " Component | high: 69049/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=57.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00115984 [ 0.75 %]\n", - "Velocity : 0.0039184 [ 2.53 %]\n", - "Force : 0.0568965 [ 36.80 %]\n", - "Coefs : 0.0205206 [ 13.27 %]\n", - "Output : 0.00155726 [ 1.01 %]\n", - "Levels : 0.000254936 [ 0.16 %]\n", - "Report : 5.54e-07 [ 0.00 %]\n", - "Balance : 3.68e-07 [ 0.00 %]\n", - "Adjust : 0.0702445 [ 45.44 %]\n", - "Total : 0.154603 [100.00 %]\n", + "Drift : 0.000495567 [ 0.02 %]\n", + "Velocity : 0.00207666 [ 0.06 %]\n", + "Force : 0.559863 [ 17.15 %]\n", + "Coefs : 1.97288 [ 60.42 %]\n", + "Output : 0.00126741 [ 0.04 %]\n", + "Levels : 0.000282629 [ 0.01 %]\n", + "Report : 9.6e-07 [ 0.00 %]\n", + "Balance : 3.26e-07 [ 0.00 %]\n", + "Adjust : 0.728388 [ 22.31 %]\n", + "Total : 3.26531 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5962 749 250 82 99 \n", - "1 : 5977 730 268 70 97 \n", - "2 : 5938 764 279 73 88 \n", - "3 : 5964 753 253 89 83 \n", - "4 : 5930 767 265 95 85 \n", - "5 : 5960 758 254 89 81 \n", - "6 : 5941 765 263 84 89 \n", - "7 : 5918 768 257 105 94 \n", - "8 : 6003 700 278 92 69 \n", - "9 : 5935 761 252 98 96 \n", - "10 : 5943 761 275 84 79 \n", - "11 : 5936 739 302 75 90 \n", - "12 : 5944 743 281 96 78 \n", - "13 : 5965 754 273 66 96 \n", + "0 : 5803 780 325 120 114 \n", + "1 : 5841 747 330 121 103 \n", + "2 : 5819 749 347 128 99 \n", + "3 : 5860 730 333 105 114 \n", + "4 : 5823 757 356 98 108 \n", + "5 : 5895 741 307 85 114 \n", + "6 : 5830 761 337 101 113 \n", + "7 : 5821 771 328 103 119 \n", + "8 : 5861 731 320 122 108 \n", + "9 : 5830 753 308 135 116 \n", + "10 : 5865 728 314 115 120 \n", + "11 : 5803 790 325 103 121 \n", + "12 : 5833 776 319 109 105 \n", + "13 : 5828 738 356 95 137 \n", "\n", - "T : 83316 10512 3750 1198 1224 [100000]\n", + "T : 81712 10552 4605 1540 1591 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 1.0153e-02 sec\n", - "--- Collate = 6.5794e-05 sec\n", + "--- Coef/DT = 28.3%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 6.6595e-02 sec\n", + "--- Collate = 1.1032e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.248808e-07 < 6.250000e-03 [721]\n", - "--- Max DT=7.846056e-01 > 1.000000e-01 [66995]\n", + "--- Min DT=5.988254e-06 < 6.250000e-03 [939]\n", + "--- Max DT=8.594226e-01 > 1.000000e-01 [69059]\n", "----------------------------------------------------------------------\n", - " Component | low: 721/100000\n", - " Component | high: 66995/100000\n", + " Component | low: 939/100000\n", + " Component | high: 69059/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=57.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0010368 [ 0.72 %]\n", - "Velocity : 0.00334165 [ 2.31 %]\n", - "Force : 0.052619 [ 36.44 %]\n", - "Coefs : 0.0199369 [ 13.81 %]\n", - "Output : 0.00154942 [ 1.07 %]\n", - "Levels : 0.000239958 [ 0.17 %]\n", - "Report : 6.36e-07 [ 0.00 %]\n", - "Balance : 3.69e-07 [ 0.00 %]\n", - "Adjust : 0.0656144 [ 45.44 %]\n", - "Total : 0.144388 [100.00 %]\n", + "Drift : 0.000658029 [ 0.02 %]\n", + "Velocity : 0.00208833 [ 0.06 %]\n", + "Force : 0.617394 [ 18.36 %]\n", + "Coefs : 2.01024 [ 59.79 %]\n", + "Output : 0.00133484 [ 0.04 %]\n", + "Levels : 0.000257797 [ 0.01 %]\n", + "Report : 6.52e-07 [ 0.00 %]\n", + "Balance : 5.12e-07 [ 0.00 %]\n", + "Adjust : 0.729866 [ 21.71 %]\n", + "Total : 3.36189 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5959 746 257 77 103 \n", - "1 : 5966 739 271 67 99 \n", - "2 : 5936 768 273 75 90 \n", - "3 : 5970 746 249 93 84 \n", - "4 : 5928 764 274 91 85 \n", - "5 : 5955 759 260 96 72 \n", - "6 : 5945 764 260 86 87 \n", - "7 : 5908 779 252 108 95 \n", - "8 : 6002 704 275 91 70 \n", - "9 : 5933 760 253 101 95 \n", - "10 : 5944 754 283 82 79 \n", - "11 : 5933 735 310 74 90 \n", - "12 : 5948 729 280 101 84 \n", - "13 : 5958 752 284 65 95 \n", + "0 : 5805 780 341 102 114 \n", + "1 : 5837 742 337 111 115 \n", + "2 : 5819 744 352 123 104 \n", + "3 : 5858 737 329 105 113 \n", + "4 : 5819 761 355 102 105 \n", + "5 : 5895 739 309 91 108 \n", + "6 : 5832 757 341 100 112 \n", + "7 : 5829 763 327 107 116 \n", + "8 : 5861 728 330 113 110 \n", + "9 : 5824 759 303 137 119 \n", + "10 : 5861 730 315 121 115 \n", + "11 : 5802 794 319 111 116 \n", + "12 : 5832 779 314 110 107 \n", + "13 : 5825 746 356 91 136 \n", "\n", - "T : 83285 10499 3781 1207 1228 [100000]\n", + "T : 81699 10559 4628 1524 1590 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.2%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 1.0825e-02 sec\n", - "--- Collate = 7.2096e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 9.2602e-02 sec\n", + "--- Collate = 2.4040e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.045113e-07 < 6.250000e-03 [753]\n", - "--- Max DT=8.059674e-01 > 1.000000e-01 [66998]\n", + "--- Min DT=8.100393e-06 < 6.250000e-03 [942]\n", + "--- Max DT=8.654000e-01 > 1.000000e-01 [69091]\n", "----------------------------------------------------------------------\n", - " Component | low: 753/100000\n", - " Component | high: 66998/100000\n", + " Component | low: 942/100000\n", + " Component | high: 69091/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=58] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00105665 [ 0.70 %]\n", - "Velocity : 0.00360242 [ 2.38 %]\n", - "Force : 0.0530711 [ 35.01 %]\n", - "Coefs : 0.020909 [ 13.79 %]\n", - "Output : 0.0066413 [ 4.38 %]\n", - "Levels : 0.000341049 [ 0.22 %]\n", - "Report : 1.209e-06 [ 0.00 %]\n", - "Balance : 8.71e-07 [ 0.00 %]\n", - "Adjust : 0.0659327 [ 43.49 %]\n", - "Total : 0.151606 [100.00 %]\n", + "Drift : 0.000479479 [ 0.02 %]\n", + "Velocity : 0.00196838 [ 0.06 %]\n", + "Force : 0.483356 [ 15.41 %]\n", + "Coefs : 1.96589 [ 62.68 %]\n", + "Output : 0.00933731 [ 0.30 %]\n", + "Levels : 0.000281477 [ 0.01 %]\n", + "Report : 1.096e-06 [ 0.00 %]\n", + "Balance : 4.3e-07 [ 0.00 %]\n", + "Adjust : 0.674925 [ 21.52 %]\n", + "Total : 3.13629 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5957 749 256 80 100 \n", - "1 : 5966 734 280 75 87 \n", - "2 : 5929 774 268 84 87 \n", - "3 : 5969 743 254 92 84 \n", - "4 : 5932 761 263 102 84 \n", - "5 : 5962 752 265 91 72 \n", - "6 : 5943 763 265 81 90 \n", - "7 : 5903 782 254 107 96 \n", - "8 : 5999 701 280 92 70 \n", - "9 : 5938 752 260 95 97 \n", - "10 : 5935 762 281 82 82 \n", - "11 : 5939 722 309 75 97 \n", - "12 : 5939 739 275 105 84 \n", - "13 : 5959 753 282 60 100 \n", + "0 : 5804 775 350 107 106 \n", + "1 : 5836 742 336 112 116 \n", + "2 : 5814 748 352 124 104 \n", + "3 : 5854 743 327 103 115 \n", + "4 : 5818 766 348 99 111 \n", + "5 : 5892 742 303 100 105 \n", + "6 : 5829 752 346 103 112 \n", + "7 : 5825 766 334 103 114 \n", + "8 : 5869 716 332 116 109 \n", + "9 : 5827 756 310 135 114 \n", + "10 : 5868 718 318 124 114 \n", + "11 : 5799 794 320 109 120 \n", + "12 : 5833 775 315 119 100 \n", + "13 : 5821 757 346 101 129 \n", "\n", - "T : 83270 10487 3792 1221 1230 [100000]\n", + "T : 81689 10550 4637 1555 1569 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 1.8%\n", - "--- Update = 1.0919e-02 sec\n", - "--- Collate = 7.5102e-05 sec\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 4.7054e-02 sec\n", + "--- Collate = 4.0686e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.913861e-08 < 6.250000e-03 [748]\n", - "--- Max DT=8.210164e-01 > 1.000000e-01 [67016]\n", + "--- Min DT=6.017520e-06 < 6.250000e-03 [953]\n", + "--- Max DT=8.713832e-01 > 1.000000e-01 [69110]\n", "----------------------------------------------------------------------\n", - " Component | low: 748/100000\n", - " Component | high: 67016/100000\n", + " Component | low: 953/100000\n", + " Component | high: 69110/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=58.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000801752 [ 0.53 %]\n", - "Velocity : 0.00394052 [ 2.59 %]\n", - "Force : 0.0559482 [ 36.82 %]\n", - "Coefs : 0.0216608 [ 14.26 %]\n", - "Output : 0.00163673 [ 1.08 %]\n", - "Levels : 0.000289823 [ 0.19 %]\n", - "Report : 8.29e-07 [ 0.00 %]\n", - "Balance : 2.97e-07 [ 0.00 %]\n", - "Adjust : 0.0676111 [ 44.50 %]\n", - "Total : 0.151942 [100.00 %]\n", + "Drift : 0.000514237 [ 0.02 %]\n", + "Velocity : 0.00250463 [ 0.08 %]\n", + "Force : 0.559223 [ 16.84 %]\n", + "Coefs : 2.0437 [ 61.55 %]\n", + "Output : 0.00514441 [ 0.15 %]\n", + "Levels : 0.000397168 [ 0.01 %]\n", + "Report : 9.73e-07 [ 0.00 %]\n", + "Balance : 3.52e-07 [ 0.00 %]\n", + "Adjust : 0.708792 [ 21.35 %]\n", + "Total : 3.32033 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5950 747 269 79 97 \n", - "1 : 5970 732 272 78 90 \n", - "2 : 5924 781 261 85 91 \n", - "3 : 5968 746 252 96 80 \n", - "4 : 5930 754 265 105 88 \n", - "5 : 5955 758 266 84 79 \n", - "6 : 5943 764 258 80 97 \n", - "7 : 5901 786 256 105 94 \n", - "8 : 6003 698 274 94 73 \n", - "9 : 5934 754 264 94 96 \n", - "10 : 5935 763 271 90 83 \n", - "11 : 5930 731 298 84 99 \n", - "12 : 5936 741 275 110 80 \n", - "13 : 5944 761 292 60 97 \n", + "0 : 5808 769 348 110 107 \n", + "1 : 5829 749 343 104 117 \n", + "2 : 5818 749 344 127 104 \n", + "3 : 5854 733 340 104 111 \n", + "4 : 5822 764 346 103 107 \n", + "5 : 5892 745 300 102 103 \n", + "6 : 5832 750 343 112 105 \n", + "7 : 5821 775 325 106 115 \n", + "8 : 5865 720 332 114 111 \n", + "9 : 5830 744 321 138 109 \n", + "10 : 5869 710 319 119 125 \n", + "11 : 5805 784 321 109 123 \n", + "12 : 5835 771 318 117 101 \n", + "13 : 5828 751 340 108 127 \n", "\n", - "T : 83223 10516 3773 1244 1244 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81708 10514 4640 1573 1565 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.2%\n", - "--- Adj/Tot = 1.8%\n", - "--- Update = 2.7280e-02 sec\n", - "--- Collate = 8.1390e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 6.0899e-02 sec\n", + "--- Collate = 7.0293e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.780122e-07 < 6.250000e-03 [759]\n", - "--- Max DT=8.283543e-01 > 1.000000e-01 [66994]\n", + "--- Min DT=6.281025e-06 < 6.250000e-03 [977]\n", + "--- Max DT=8.773721e-01 > 1.000000e-01 [69128]\n", "----------------------------------------------------------------------\n", - " Component | low: 759/100000\n", - " Component | high: 66994/100000\n", + " Component | low: 977/100000\n", + " Component | high: 69128/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=58.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00122656 [ 0.64 %]\n", - "Velocity : 0.00406141 [ 2.11 %]\n", - "Force : 0.0635987 [ 32.97 %]\n", - "Coefs : 0.0206341 [ 10.70 %]\n", - "Output : 0.00174523 [ 0.90 %]\n", - "Levels : 0.000207979 [ 0.11 %]\n", - "Report : 6.3e-07 [ 0.00 %]\n", - "Balance : 3.49e-07 [ 0.00 %]\n", - "Adjust : 0.101358 [ 52.55 %]\n", - "Total : 0.192893 [100.00 %]\n", + "Drift : 0.000732658 [ 0.03 %]\n", + "Velocity : 0.00285336 [ 0.10 %]\n", + "Force : 0.508216 [ 17.87 %]\n", + "Coefs : 1.71534 [ 60.32 %]\n", + "Output : 0.00138818 [ 0.05 %]\n", + "Levels : 0.000267456 [ 0.01 %]\n", + "Report : 7.4e-07 [ 0.00 %]\n", + "Balance : 2.54e-07 [ 0.00 %]\n", + "Adjust : 0.614826 [ 21.62 %]\n", + "Total : 2.84368 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5950 742 274 82 94 \n", - "1 : 5967 725 278 78 94 \n", - "2 : 5919 785 255 91 92 \n", - "3 : 5966 739 257 100 80 \n", - "4 : 5925 760 256 108 93 \n", - "5 : 5949 755 272 81 85 \n", - "6 : 5945 766 251 82 98 \n", - "7 : 5903 772 272 99 96 \n", - "8 : 5997 704 270 98 73 \n", - "9 : 5927 753 272 96 94 \n", - "10 : 5932 772 262 93 83 \n", - "11 : 5934 730 293 88 97 \n", - "12 : 5936 734 278 111 83 \n", - "13 : 5932 770 285 66 101 \n", + "0 : 5814 760 353 107 108 \n", + "1 : 5835 735 352 102 118 \n", + "2 : 5818 754 336 133 101 \n", + "3 : 5858 722 343 111 108 \n", + "4 : 5822 766 350 100 104 \n", + "5 : 5889 754 296 97 106 \n", + "6 : 5827 754 339 118 104 \n", + "7 : 5814 787 321 103 117 \n", + "8 : 5865 717 324 120 116 \n", + "9 : 5834 741 333 123 111 \n", + "10 : 5868 717 318 119 120 \n", + "11 : 5801 795 319 105 122 \n", + "12 : 5849 751 317 131 94 \n", + "13 : 5827 748 342 113 124 \n", "\n", - "T : 83182 10507 3775 1273 1263 [100000]\n", + "T : 81721 10501 4643 1582 1553 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.7%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 1.2288e-02 sec\n", - "--- Collate = 6.8696e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 2.8537e-02 sec\n", + "--- Collate = 6.0511e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.299336e-06 < 6.250000e-03 [779]\n", - "--- Max DT=8.349437e-01 > 1.000000e-01 [66959]\n", + "--- Min DT=1.730038e-07 < 6.250000e-03 [959]\n", + "--- Max DT=8.833668e-01 > 1.000000e-01 [69117]\n", "----------------------------------------------------------------------\n", - " Component | low: 779/100000\n", - " Component | high: 66959/100000\n", + " Component | low: 959/100000\n", + " Component | high: 69117/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=58.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00127097 [ 0.72 %]\n", - "Velocity : 0.00386974 [ 2.18 %]\n", - "Force : 0.0686716 [ 38.66 %]\n", - "Coefs : 0.0238589 [ 13.43 %]\n", - "Output : 0.00177508 [ 1.00 %]\n", - "Levels : 0.000581946 [ 0.33 %]\n", - "Report : 5.45e-07 [ 0.00 %]\n", - "Balance : 2.97e-07 [ 0.00 %]\n", - "Adjust : 0.0775215 [ 43.65 %]\n", - "Total : 0.177612 [100.00 %]\n", + "Drift : 0.000492004 [ 0.02 %]\n", + "Velocity : 0.00190166 [ 0.08 %]\n", + "Force : 0.41759 [ 17.19 %]\n", + "Coefs : 1.54028 [ 63.39 %]\n", + "Output : 0.00104247 [ 0.04 %]\n", + "Levels : 0.000211757 [ 0.01 %]\n", + "Report : 4.84e-07 [ 0.00 %]\n", + "Balance : 1.99e-07 [ 0.00 %]\n", + "Adjust : 0.468201 [ 19.27 %]\n", + "Total : 2.42976 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5940 748 277 81 96 \n", - "1 : 5963 725 280 73 101 \n", - "2 : 5919 793 247 85 98 \n", - "3 : 5967 738 260 95 82 \n", - "4 : 5925 747 256 116 98 \n", - "5 : 5959 739 281 77 86 \n", - "6 : 5942 765 256 80 99 \n", - "7 : 5900 770 280 104 88 \n", - "8 : 5996 701 271 101 73 \n", - "9 : 5925 753 274 92 98 \n", - "10 : 5931 773 257 100 81 \n", - "11 : 5925 735 287 96 99 \n", - "12 : 5931 737 278 107 89 \n", - "13 : 5933 766 287 66 102 \n", + "0 : 5811 766 354 95 116 \n", + "1 : 5832 729 370 96 115 \n", + "2 : 5816 753 345 125 103 \n", + "3 : 5853 721 343 112 113 \n", + "4 : 5826 764 347 99 106 \n", + "5 : 5880 763 294 96 109 \n", + "6 : 5833 739 351 112 107 \n", + "7 : 5817 781 319 110 115 \n", + "8 : 5866 714 323 122 117 \n", + "9 : 5835 744 334 112 117 \n", + "10 : 5869 720 327 101 125 \n", + "11 : 5795 798 318 110 121 \n", + "12 : 5848 749 318 127 100 \n", + "13 : 5832 742 347 101 132 \n", "\n", - "T : 83156 10490 3791 1273 1290 [100000]\n", + "T : 81713 10483 4690 1518 1596 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.4%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.2033e-02 sec\n", - "--- Collate = 1.0199e-04 sec\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 4.9683e-02 sec\n", + "--- Collate = 7.0095e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.414412e-07 < 6.250000e-03 [762]\n", - "--- Max DT=8.423730e-01 > 1.000000e-01 [66971]\n", + "--- Min DT=1.836044e-06 < 6.250000e-03 [959]\n", + "--- Max DT=8.893671e-01 > 1.000000e-01 [69145]\n", "----------------------------------------------------------------------\n", - " Component | low: 762/100000\n", - " Component | high: 66971/100000\n", + " Component | low: 959/100000\n", + " Component | high: 69145/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=58.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00176366 [ 1.02 %]\n", - "Velocity : 0.00460214 [ 2.66 %]\n", - "Force : 0.0602199 [ 34.86 %]\n", - "Coefs : 0.0224452 [ 12.99 %]\n", - "Output : 0.00177127 [ 1.03 %]\n", - "Levels : 0.000253983 [ 0.15 %]\n", - "Report : 5.46e-07 [ 0.00 %]\n", - "Balance : 3.71e-07 [ 0.00 %]\n", - "Adjust : 0.0816101 [ 47.25 %]\n", - "Total : 0.17273 [100.00 %]\n", + "Drift : 0.000283512 [ 0.01 %]\n", + "Velocity : 0.00189874 [ 0.06 %]\n", + "Force : 0.467778 [ 15.65 %]\n", + "Coefs : 1.88243 [ 62.96 %]\n", + "Output : 0.000891696 [ 0.03 %]\n", + "Levels : 0.000136484 [ 0.00 %]\n", + "Report : 3.31e-07 [ 0.00 %]\n", + "Balance : 3.44e-07 [ 0.00 %]\n", + "Adjust : 0.636341 [ 21.28 %]\n", + "Total : 2.98978 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5940 751 269 86 96 \n", - "1 : 5968 711 285 81 97 \n", - "2 : 5914 794 248 87 99 \n", - "3 : 5972 730 255 99 86 \n", - "4 : 5914 761 252 116 99 \n", - "5 : 5956 738 281 79 88 \n", - "6 : 5939 764 263 79 97 \n", - "7 : 5897 766 286 106 87 \n", - "8 : 5992 710 261 100 79 \n", - "9 : 5927 742 284 91 98 \n", - "10 : 5921 775 262 99 85 \n", - "11 : 5913 746 283 94 106 \n", - "12 : 5930 732 284 100 96 \n", - "13 : 5932 763 292 68 99 \n", + "0 : 5807 762 357 100 116 \n", + "1 : 5825 736 367 102 112 \n", + "2 : 5815 752 347 123 105 \n", + "3 : 5853 724 344 106 115 \n", + "4 : 5827 758 353 103 101 \n", + "5 : 5884 758 294 95 111 \n", + "6 : 5829 749 339 118 107 \n", + "7 : 5816 782 325 100 119 \n", + "8 : 5863 712 328 120 119 \n", + "9 : 5830 747 336 113 116 \n", + "10 : 5867 718 332 102 123 \n", + "11 : 5796 794 328 96 128 \n", + "12 : 5842 762 312 122 104 \n", + "13 : 5826 747 355 97 129 \n", "\n", - "T : 83115 10483 3805 1285 1312 [100000]\n", + "T : 81680 10501 4717 1497 1605 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.1723e-02 sec\n", - "--- Collate = 7.5888e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 3.7710e-02 sec\n", + "--- Collate = 7.0193e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.108436e-05 < 6.250000e-03 [777]\n", - "--- Max DT=8.758339e-01 > 1.000000e-01 [66994]\n", + "--- Min DT=3.188063e-06 < 6.250000e-03 [979]\n", + "--- Max DT=8.953731e-01 > 1.000000e-01 [69150]\n", "----------------------------------------------------------------------\n", - " Component | low: 777/100000\n", - " Component | high: 66994/100000\n", + " Component | low: 979/100000\n", + " Component | high: 69150/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=58.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0016862 [ 1.02 %]\n", - "Velocity : 0.00444123 [ 2.68 %]\n", - "Force : 0.06121 [ 36.94 %]\n", - "Coefs : 0.0223049 [ 13.46 %]\n", - "Output : 0.0016751 [ 1.01 %]\n", - "Levels : 0.000284649 [ 0.17 %]\n", - "Report : 8.03e-07 [ 0.00 %]\n", - "Balance : 3.6e-07 [ 0.00 %]\n", - "Adjust : 0.0740392 [ 44.68 %]\n", - "Total : 0.165698 [100.00 %]\n", + "Drift : 0.000222743 [ 0.01 %]\n", + "Velocity : 0.000883267 [ 0.03 %]\n", + "Force : 0.528822 [ 17.40 %]\n", + "Coefs : 1.893 [ 62.29 %]\n", + "Output : 0.000478416 [ 0.02 %]\n", + "Levels : 0.000141138 [ 0.00 %]\n", + "Report : 8.18e-07 [ 0.00 %]\n", + "Balance : 1.74e-07 [ 0.00 %]\n", + "Adjust : 0.615304 [ 20.25 %]\n", + "Total : 3.03888 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5941 737 283 87 94 \n", - "1 : 5961 710 294 78 99 \n", - "2 : 5911 793 252 88 98 \n", - "3 : 5978 725 256 97 86 \n", - "4 : 5913 756 261 109 103 \n", - "5 : 5948 740 279 85 90 \n", - "6 : 5937 766 259 85 95 \n", - "7 : 5899 762 290 103 88 \n", - "8 : 5992 706 268 94 82 \n", - "9 : 5928 745 280 89 100 \n", - "10 : 5920 772 261 97 92 \n", - "11 : 5907 754 279 92 110 \n", - "12 : 5925 734 281 102 100 \n", - "13 : 5934 750 297 79 94 \n", + "0 : 5814 750 361 105 112 \n", + "1 : 5824 746 355 100 117 \n", + "2 : 5819 749 351 113 110 \n", + "3 : 5855 722 342 102 121 \n", + "4 : 5833 753 354 103 99 \n", + "5 : 5886 757 297 91 111 \n", + "6 : 5836 743 339 110 114 \n", + "7 : 5822 779 322 99 120 \n", + "8 : 5865 716 321 113 127 \n", + "9 : 5828 748 343 119 104 \n", + "10 : 5863 728 315 116 120 \n", + "11 : 5795 797 319 104 127 \n", + "12 : 5843 752 323 116 108 \n", + "13 : 5824 745 361 106 118 \n", "\n", - "T : 83094 10450 3840 1285 1331 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81707 10485 4703 1497 1608 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.1305e-02 sec\n", - "--- Collate = 2.0854e-04 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 3.8824e-02 sec\n", + "--- Collate = 2.0248e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.097431e-06 < 6.250000e-03 [806]\n", - "--- Max DT=9.110526e-01 > 1.000000e-01 [66984]\n", + "--- Min DT=2.075176e-06 < 6.250000e-03 [973]\n", + "--- Max DT=9.013847e-01 > 1.000000e-01 [69151]\n", "----------------------------------------------------------------------\n", - " Component | low: 806/100000\n", - " Component | high: 66984/100000\n", + " Component | low: 973/100000\n", + " Component | high: 69151/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=58.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0012503 [ 0.78 %]\n", - "Velocity : 0.00401337 [ 2.49 %]\n", - "Force : 0.0595595 [ 36.93 %]\n", - "Coefs : 0.0216195 [ 13.40 %]\n", - "Output : 0.00170115 [ 1.05 %]\n", - "Levels : 0.000233788 [ 0.14 %]\n", - "Report : 8.07e-07 [ 0.00 %]\n", - "Balance : 3.07e-07 [ 0.00 %]\n", - "Adjust : 0.0728485 [ 45.17 %]\n", - "Total : 0.161283 [100.00 %]\n", + "Drift : 0.000216894 [ 0.01 %]\n", + "Velocity : 0.000818877 [ 0.03 %]\n", + "Force : 0.568143 [ 18.07 %]\n", + "Coefs : 1.97989 [ 62.98 %]\n", + "Output : 0.000528823 [ 0.02 %]\n", + "Levels : 0.000170238 [ 0.01 %]\n", + "Report : 6.58e-07 [ 0.00 %]\n", + "Balance : 3.7e-07 [ 0.00 %]\n", + "Adjust : 0.593791 [ 18.89 %]\n", + "Total : 3.14358 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5938 733 282 92 97 \n", - "1 : 5957 707 295 83 100 \n", - "2 : 5907 793 253 98 91 \n", - "3 : 5969 732 260 88 93 \n", - "4 : 5913 752 263 106 108 \n", - "5 : 5945 746 273 85 93 \n", - "6 : 5935 766 261 83 97 \n", - "7 : 5893 769 289 102 89 \n", - "8 : 5996 704 266 89 87 \n", - "9 : 5917 753 281 83 108 \n", - "10 : 5915 776 268 89 94 \n", - "11 : 5905 752 282 91 112 \n", - "12 : 5921 721 296 101 103 \n", - "13 : 5929 747 300 89 89 \n", + "0 : 5819 745 359 104 115 \n", + "1 : 5828 740 359 97 118 \n", + "2 : 5823 754 345 106 114 \n", + "3 : 5850 727 343 109 113 \n", + "4 : 5833 748 353 107 101 \n", + "5 : 5885 759 298 91 109 \n", + "6 : 5835 748 334 97 128 \n", + "7 : 5820 787 320 99 116 \n", + "8 : 5870 712 326 107 127 \n", + "9 : 5835 747 336 124 100 \n", + "10 : 5866 723 318 115 120 \n", + "11 : 5799 791 320 107 125 \n", + "12 : 5859 726 328 108 121 \n", + "13 : 5826 750 349 109 120 \n", "\n", - "T : 83040 10451 3869 1279 1361 [100000]\n", + "T : 81748 10457 4688 1480 1627 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.3%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 1.0563e-02 sec\n", - "--- Collate = 7.0166e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 4.2054e-02 sec\n", + "--- Collate = 8.6342e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.727856e-07 < 6.250000e-03 [805]\n", - "--- Max DT=9.692142e-01 > 1.000000e-01 [66971]\n", + "--- Min DT=2.805273e-06 < 6.250000e-03 [991]\n", + "--- Max DT=9.074018e-01 > 1.000000e-01 [69133]\n", "----------------------------------------------------------------------\n", - " Component | low: 805/100000\n", - " Component | high: 66971/100000\n", + " Component | low: 991/100000\n", + " Component | high: 69133/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=58.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0011943 [ 0.76 %]\n", - "Velocity : 0.00419645 [ 2.66 %]\n", - "Force : 0.0580013 [ 36.79 %]\n", - "Coefs : 0.0219685 [ 13.94 %]\n", - "Output : 0.00172507 [ 1.09 %]\n", - "Levels : 0.000231059 [ 0.15 %]\n", - "Report : 8.55e-07 [ 0.00 %]\n", - "Balance : 3.12e-07 [ 0.00 %]\n", - "Adjust : 0.070271 [ 44.58 %]\n", - "Total : 0.157645 [100.00 %]\n", + "Drift : 0.000238327 [ 0.01 %]\n", + "Velocity : 0.0010595 [ 0.04 %]\n", + "Force : 0.484133 [ 16.08 %]\n", + "Coefs : 1.91707 [ 63.67 %]\n", + "Output : 0.000587984 [ 0.02 %]\n", + "Levels : 0.000147688 [ 0.00 %]\n", + "Report : 5.59e-07 [ 0.00 %]\n", + "Balance : 3.11e-07 [ 0.00 %]\n", + "Adjust : 0.607533 [ 20.18 %]\n", + "Total : 3.0108 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5931 738 283 98 92 \n", - "1 : 5954 715 283 95 95 \n", - "2 : 5907 791 248 104 92 \n", - "3 : 5962 740 259 88 93 \n", - "4 : 5912 744 272 105 109 \n", - "5 : 5941 744 273 91 93 \n", - "6 : 5935 769 253 82 103 \n", - "7 : 5895 768 283 101 95 \n", - "8 : 5988 706 280 77 91 \n", - "9 : 5910 759 279 82 112 \n", - "10 : 5916 773 272 83 98 \n", - "11 : 5901 748 287 87 119 \n", - "12 : 5914 722 303 109 94 \n", - "13 : 5920 754 297 97 86 \n", + "0 : 5813 754 351 112 112 \n", + "1 : 5829 739 362 95 117 \n", + "2 : 5821 761 344 104 112 \n", + "3 : 5851 731 335 110 115 \n", + "4 : 5837 750 347 110 98 \n", + "5 : 5882 752 301 96 111 \n", + "6 : 5830 742 342 98 130 \n", + "7 : 5822 780 321 101 118 \n", + "8 : 5863 724 324 109 122 \n", + "9 : 5835 748 326 128 105 \n", + "10 : 5863 723 321 118 117 \n", + "11 : 5798 783 325 114 122 \n", + "12 : 5860 731 322 103 126 \n", + "13 : 5829 745 352 114 114 \n", "\n", - "T : 82986 10471 3872 1299 1372 [100000]\n", + "T : 81733 10463 4673 1512 1619 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.2%\n", + "--- Coef/DT = 23.6%\n", "--- Adj/Tot = 1.7%\n", - "--- Update = 1.1301e-02 sec\n", - "--- Collate = 7.8261e-05 sec\n", + "--- Update = 7.4769e-02 sec\n", + "--- Collate = 7.0246e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.371532e-07 < 6.250000e-03 [834]\n", - "--- Max DT=1.026993e+00 > 1.000000e-01 [66953]\n", + "--- Min DT=7.531977e-06 < 6.250000e-03 [1010]\n", + "--- Max DT=9.134246e-01 > 1.000000e-01 [69111]\n", "----------------------------------------------------------------------\n", - " Component | low: 834/100000\n", - " Component | high: 66953/100000\n", + " Component | low: 1010/100000\n", + " Component | high: 69111/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=58.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00132488 [ 0.87 %]\n", - "Velocity : 0.00419785 [ 2.75 %]\n", - "Force : 0.0555116 [ 36.37 %]\n", - "Coefs : 0.0213046 [ 13.96 %]\n", - "Output : 0.0016554 [ 1.08 %]\n", - "Levels : 0.000235074 [ 0.15 %]\n", - "Report : 8.6e-07 [ 0.00 %]\n", - "Balance : 3.47e-07 [ 0.00 %]\n", - "Adjust : 0.0683637 [ 44.78 %]\n", - "Total : 0.152651 [100.00 %]\n", + "Drift : 0.00428895 [ 0.12 %]\n", + "Velocity : 0.00113341 [ 0.03 %]\n", + "Force : 0.512766 [ 14.92 %]\n", + "Coefs : 2.15287 [ 62.64 %]\n", + "Output : 0.000659894 [ 0.02 %]\n", + "Levels : 0.000161045 [ 0.00 %]\n", + "Report : 4.44e-07 [ 0.00 %]\n", + "Balance : 2.61e-07 [ 0.00 %]\n", + "Adjust : 0.76499 [ 22.26 %]\n", + "Total : 3.4369 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5930 733 292 94 93 \n", - "1 : 5958 707 281 98 98 \n", - "2 : 5900 795 259 99 89 \n", - "3 : 5948 753 260 87 94 \n", - "4 : 5905 742 279 97 119 \n", - "5 : 5945 736 275 92 94 \n", - "6 : 5934 764 255 82 107 \n", - "7 : 5894 771 277 111 89 \n", - "8 : 5989 699 283 77 94 \n", - "9 : 5909 750 289 84 110 \n", - "10 : 5914 774 275 77 102 \n", - "11 : 5899 746 286 96 115 \n", - "12 : 5917 714 307 101 103 \n", - "13 : 5919 751 297 100 87 \n", + "0 : 5808 754 356 112 112 \n", + "1 : 5831 732 364 102 113 \n", + "2 : 5824 757 351 101 109 \n", + "3 : 5855 728 337 116 106 \n", + "4 : 5839 747 348 108 100 \n", + "5 : 5881 756 302 95 108 \n", + "6 : 5830 752 336 94 130 \n", + "7 : 5825 764 333 100 120 \n", + "8 : 5865 725 321 110 121 \n", + "9 : 5841 745 323 125 108 \n", + "10 : 5868 708 331 115 120 \n", + "11 : 5799 790 312 122 119 \n", + "12 : 5864 739 312 100 127 \n", + "13 : 5836 739 344 118 117 \n", "\n", - "T : 82961 10435 3915 1295 1394 [100000]\n", + "T : 81766 10436 4670 1518 1610 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.2%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.0924e-02 sec\n", - "--- Collate = 8.1190e-05 sec\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 4.8494e-02 sec\n", + "--- Collate = 1.4019e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.038233e-06 < 6.250000e-03 [848]\n", - "--- Max DT=1.081917e+00 > 1.000000e-01 [66926]\n", + "--- Min DT=2.710358e-06 < 6.250000e-03 [1016]\n", + "--- Max DT=9.194527e-01 > 1.000000e-01 [69111]\n", "----------------------------------------------------------------------\n", - " Component | low: 848/100000\n", - " Component | high: 66926/100000\n", + " Component | low: 1016/100000\n", + " Component | high: 69111/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=58.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00122815 [ 0.79 %]\n", - "Velocity : 0.00409641 [ 2.62 %]\n", - "Force : 0.0572881 [ 36.69 %]\n", - "Coefs : 0.0220734 [ 14.14 %]\n", - "Output : 0.00162252 [ 1.04 %]\n", - "Levels : 0.000227855 [ 0.15 %]\n", - "Report : 8.43e-07 [ 0.00 %]\n", - "Balance : 3.11e-07 [ 0.00 %]\n", - "Adjust : 0.0695619 [ 44.55 %]\n", - "Total : 0.156155 [100.00 %]\n", + "Drift : 0.000422446 [ 0.01 %]\n", + "Velocity : 0.00200104 [ 0.05 %]\n", + "Force : 0.68906 [ 17.70 %]\n", + "Coefs : 2.36185 [ 60.68 %]\n", + "Output : 0.00123935 [ 0.03 %]\n", + "Levels : 0.00026965 [ 0.01 %]\n", + "Report : 5.21e-07 [ 0.00 %]\n", + "Balance : 4.71e-07 [ 0.00 %]\n", + "Adjust : 0.837103 [ 21.51 %]\n", + "Total : 3.892 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5928 731 289 102 92 \n", - "1 : 5961 703 286 91 101 \n", - "2 : 5898 795 264 98 87 \n", - "3 : 5945 756 256 89 96 \n", - "4 : 5908 739 277 95 123 \n", - "5 : 5937 747 272 85 101 \n", - "6 : 5932 766 250 85 109 \n", - "7 : 5895 770 278 108 91 \n", - "8 : 5981 706 277 83 95 \n", - "9 : 5903 753 284 101 101 \n", - "10 : 5920 769 278 73 102 \n", - "11 : 5894 749 288 99 112 \n", - "12 : 5917 712 302 101 110 \n", - "13 : 5922 752 291 98 91 \n", + "0 : 5813 744 361 115 109 \n", + "1 : 5829 733 362 107 111 \n", + "2 : 5822 755 351 103 111 \n", + "3 : 5850 736 335 109 112 \n", + "4 : 5836 753 337 114 102 \n", + "5 : 5877 762 303 91 109 \n", + "6 : 5829 758 332 99 124 \n", + "7 : 5843 738 342 96 123 \n", + "8 : 5874 713 323 107 125 \n", + "9 : 5840 746 330 122 104 \n", + "10 : 5865 707 329 114 127 \n", + "11 : 5801 787 315 120 119 \n", + "12 : 5869 730 317 99 127 \n", + "13 : 5834 735 350 121 114 \n", "\n", - "T : 82941 10448 3892 1308 1411 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81782 10397 4687 1517 1617 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.1%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 1.0666e-02 sec\n", - "--- Collate = 7.0967e-05 sec\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 7.2518e-02 sec\n", + "--- Collate = 2.0008e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.673767e-06 < 6.250000e-03 [871]\n", - "--- Max DT=1.136033e+00 > 1.000000e-01 [66916]\n", + "--- Min DT=5.286900e-06 < 6.250000e-03 [1021]\n", + "--- Max DT=9.254864e-01 > 1.000000e-01 [69106]\n", "----------------------------------------------------------------------\n", - " Component | low: 871/100000\n", - " Component | high: 66916/100000\n", + " Component | low: 1021/100000\n", + " Component | high: 69106/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=59] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0012078 [ 0.76 %]\n", - "Velocity : 0.003949 [ 2.47 %]\n", - "Force : 0.0552576 [ 34.59 %]\n", - "Coefs : 0.0210009 [ 13.15 %]\n", - "Output : 0.0068607 [ 4.30 %]\n", - "Levels : 0.000285112 [ 0.18 %]\n", + "Drift : 0.00109409 [ 0.03 %]\n", + "Velocity : 0.00312378 [ 0.09 %]\n", + "Force : 0.590251 [ 16.44 %]\n", + "Coefs : 2.23577 [ 62.28 %]\n", + "Output : 0.0137862 [ 0.38 %]\n", + "Levels : 0.000280613 [ 0.01 %]\n", "Report : 1.354e-06 [ 0.00 %]\n", - "Balance : 7.46e-07 [ 0.00 %]\n", - "Adjust : 0.0711109 [ 44.52 %]\n", - "Total : 0.159729 [100.00 %]\n", + "Balance : 4.68e-07 [ 0.00 %]\n", + "Adjust : 0.745575 [ 20.77 %]\n", + "Total : 3.58994 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5925 736 283 104 94 \n", - "1 : 5952 712 283 93 102 \n", - "2 : 5898 785 275 94 90 \n", - "3 : 5947 752 252 96 95 \n", - "4 : 5907 748 265 92 130 \n", - "5 : 5939 746 264 94 99 \n", - "6 : 5936 754 260 84 108 \n", - "7 : 5891 776 273 110 92 \n", - "8 : 5974 715 271 89 93 \n", - "9 : 5907 744 291 98 102 \n", - "10 : 5910 782 267 78 105 \n", - "11 : 5889 752 287 97 117 \n", - "12 : 5913 724 293 102 110 \n", - "13 : 5914 760 293 91 96 \n", + "0 : 5819 741 355 122 105 \n", + "1 : 5837 722 368 109 106 \n", + "2 : 5824 746 351 110 111 \n", + "3 : 5850 737 338 102 115 \n", + "4 : 5840 750 343 108 101 \n", + "5 : 5881 760 303 97 101 \n", + "6 : 5828 751 340 100 123 \n", + "7 : 5843 740 338 98 123 \n", + "8 : 5870 724 320 93 135 \n", + "9 : 5839 740 333 118 112 \n", + "10 : 5867 704 336 102 133 \n", + "11 : 5804 785 328 103 122 \n", + "12 : 5870 729 310 108 125 \n", + "13 : 5831 741 347 118 117 \n", "\n", - "T : 82902 10486 3857 1322 1433 [100000]\n", + "T : 81803 10370 4710 1488 1629 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.0%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 1.1480e-02 sec\n", - "--- Collate = 8.6159e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 5.6483e-02 sec\n", + "--- Collate = 4.1961e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.647231e-08 < 6.250000e-03 [897]\n", - "--- Max DT=1.187050e+00 > 1.000000e-01 [66927]\n", + "--- Min DT=2.544108e-06 < 6.250000e-03 [998]\n", + "--- Max DT=9.315256e-01 > 1.000000e-01 [69100]\n", "----------------------------------------------------------------------\n", - " Component | low: 897/100000\n", - " Component | high: 66927/100000\n", + " Component | low: 998/100000\n", + " Component | high: 69100/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=59.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00121726 [ 0.70 %]\n", - "Velocity : 0.00395319 [ 2.28 %]\n", - "Force : 0.061327 [ 35.31 %]\n", - "Coefs : 0.0217263 [ 12.51 %]\n", - "Output : 0.00175565 [ 1.01 %]\n", - "Levels : 0.000239434 [ 0.14 %]\n", - "Report : 5.83e-07 [ 0.00 %]\n", - "Balance : 3.43e-07 [ 0.00 %]\n", - "Adjust : 0.0833769 [ 48.01 %]\n", - "Total : 0.173658 [100.00 %]\n", + "Drift : 0.000490659 [ 0.02 %]\n", + "Velocity : 0.0021277 [ 0.07 %]\n", + "Force : 0.477229 [ 15.23 %]\n", + "Coefs : 2.03008 [ 64.78 %]\n", + "Output : 0.0013038 [ 0.04 %]\n", + "Levels : 0.00021803 [ 0.01 %]\n", + "Report : 1.047e-06 [ 0.00 %]\n", + "Balance : 4.08e-07 [ 0.00 %]\n", + "Adjust : 0.622106 [ 19.85 %]\n", + "Total : 3.13361 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5914 739 292 96 101 \n", - "1 : 5945 722 282 97 96 \n", - "2 : 5895 777 289 87 94 \n", - "3 : 5947 750 251 96 98 \n", - "4 : 5900 750 266 96 130 \n", - "5 : 5933 749 263 99 98 \n", - "6 : 5932 758 254 89 109 \n", - "7 : 5892 777 269 110 94 \n", - "8 : 5970 721 265 91 95 \n", - "9 : 5899 749 294 103 97 \n", - "10 : 5907 785 261 83 106 \n", - "11 : 5886 751 298 93 114 \n", - "12 : 5923 708 292 103 116 \n", - "13 : 5914 762 290 92 96 \n", + "0 : 5823 736 353 118 112 \n", + "1 : 5833 731 359 107 112 \n", + "2 : 5823 748 344 110 117 \n", + "3 : 5844 735 351 97 115 \n", + "4 : 5841 739 356 107 99 \n", + "5 : 5885 763 289 100 105 \n", + "6 : 5844 738 336 100 124 \n", + "7 : 5843 747 331 102 119 \n", + "8 : 5880 714 328 89 131 \n", + "9 : 5840 747 329 112 114 \n", + "10 : 5866 704 335 105 132 \n", + "11 : 5804 783 336 91 128 \n", + "12 : 5870 733 306 102 131 \n", + "13 : 5839 727 353 111 124 \n", "\n", - "T : 82857 10498 3866 1335 1444 [100000]\n", + "T : 81835 10345 4706 1451 1663 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.3%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 1.1043e-02 sec\n", - "--- Collate = 8.0498e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 5.4531e-02 sec\n", + "--- Collate = 5.0253e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.838935e-06 < 6.250000e-03 [916]\n", - "--- Max DT=1.235777e+00 > 1.000000e-01 [66888]\n", + "--- Min DT=1.424367e-06 < 6.250000e-03 [995]\n", + "--- Max DT=9.375702e-01 > 1.000000e-01 [69089]\n", "----------------------------------------------------------------------\n", - " Component | low: 916/100000\n", - " Component | high: 66888/100000\n", + " Component | low: 995/100000\n", + " Component | high: 69089/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=59.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00124321 [ 0.66 %]\n", - "Velocity : 0.00448469 [ 2.39 %]\n", - "Force : 0.0851617 [ 45.31 %]\n", - "Coefs : 0.0228165 [ 12.14 %]\n", - "Output : 0.00179202 [ 0.95 %]\n", - "Levels : 0.000241871 [ 0.13 %]\n", - "Report : 8.9e-07 [ 0.00 %]\n", - "Balance : 2.98e-07 [ 0.00 %]\n", - "Adjust : 0.0721475 [ 38.39 %]\n", - "Total : 0.187945 [100.00 %]\n", + "Drift : 0.000496091 [ 0.01 %]\n", + "Velocity : 0.00200356 [ 0.05 %]\n", + "Force : 0.750434 [ 18.46 %]\n", + "Coefs : 2.49506 [ 61.38 %]\n", + "Output : 0.000962208 [ 0.02 %]\n", + "Levels : 0.000461561 [ 0.01 %]\n", + "Report : 1.3e-06 [ 0.00 %]\n", + "Balance : 5.87e-07 [ 0.00 %]\n", + "Adjust : 0.815562 [ 20.06 %]\n", + "Total : 4.06503 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5910 740 296 91 105 \n", - "1 : 5944 722 284 99 93 \n", - "2 : 5883 789 293 82 95 \n", - "3 : 5940 744 266 90 102 \n", - "4 : 5895 751 269 99 128 \n", - "5 : 5933 736 274 97 102 \n", - "6 : 5930 757 252 95 108 \n", - "7 : 5889 768 285 106 94 \n", - "8 : 5963 725 266 93 95 \n", - "9 : 5897 746 295 100 104 \n", - "10 : 5906 779 264 93 100 \n", - "11 : 5880 754 295 101 112 \n", - "12 : 5919 707 295 100 121 \n", - "13 : 5909 763 285 104 93 \n", + "0 : 5826 737 344 125 110 \n", + "1 : 5828 734 356 117 107 \n", + "2 : 5822 750 346 112 112 \n", + "3 : 5850 727 352 106 107 \n", + "4 : 5840 740 357 105 100 \n", + "5 : 5888 755 297 103 99 \n", + "6 : 5851 726 341 99 125 \n", + "7 : 5855 734 332 106 115 \n", + "8 : 5880 720 324 91 127 \n", + "9 : 5841 740 330 105 126 \n", + "10 : 5864 708 333 102 135 \n", + "11 : 5801 780 332 105 124 \n", + "12 : 5872 732 310 105 123 \n", + "13 : 5843 720 360 107 124 \n", "\n", - "T : 82798 10481 3919 1350 1452 [100000]\n", + "T : 81861 10303 4714 1488 1634 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.0702e-02 sec\n", - "--- Collate = 8.4817e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 5.0451e-02 sec\n", + "--- Collate = 1.5015e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.268596e-06 < 6.250000e-03 [929]\n", - "--- Max DT=1.286917e+00 > 1.000000e-01 [66863]\n", + "--- Min DT=3.276049e-06 < 6.250000e-03 [999]\n", + "--- Max DT=9.436202e-01 > 1.000000e-01 [69097]\n", "----------------------------------------------------------------------\n", - " Component | low: 929/100000\n", - " Component | high: 66863/100000\n", + " Component | low: 999/100000\n", + " Component | high: 69097/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=59.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00133269 [ 0.82 %]\n", - "Velocity : 0.00435187 [ 2.66 %]\n", - "Force : 0.0623502 [ 38.16 %]\n", - "Coefs : 0.0219314 [ 13.42 %]\n", - "Output : 0.00179654 [ 1.10 %]\n", - "Levels : 0.000228125 [ 0.14 %]\n", - "Report : 8.79e-07 [ 0.00 %]\n", - "Balance : 3.42e-07 [ 0.00 %]\n", - "Adjust : 0.0713336 [ 43.66 %]\n", - "Total : 0.163384 [100.00 %]\n", + "Drift : 0.00052434 [ 0.01 %]\n", + "Velocity : 0.00207118 [ 0.06 %]\n", + "Force : 0.60206 [ 16.89 %]\n", + "Coefs : 2.23966 [ 62.85 %]\n", + "Output : 0.000862428 [ 0.02 %]\n", + "Levels : 0.000242993 [ 0.01 %]\n", + "Report : 7.11e-07 [ 0.00 %]\n", + "Balance : 4.04e-07 [ 0.00 %]\n", + "Adjust : 0.718078 [ 20.15 %]\n", + "Total : 3.56355 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5909 738 288 106 101 \n", - "1 : 5951 708 291 99 93 \n", - "2 : 5876 793 290 89 94 \n", - "3 : 5936 746 272 84 104 \n", - "4 : 5902 732 282 95 131 \n", - "5 : 5931 728 281 101 101 \n", - "6 : 5929 754 253 96 110 \n", - "7 : 5883 778 286 96 99 \n", - "8 : 5954 724 272 102 90 \n", - "9 : 5897 747 291 99 108 \n", - "10 : 5904 775 267 102 94 \n", - "11 : 5876 756 299 94 117 \n", - "12 : 5925 698 298 100 121 \n", - "13 : 5904 769 281 104 96 \n", + "0 : 5828 732 349 123 110 \n", + "1 : 5824 742 348 124 104 \n", + "2 : 5823 747 342 115 115 \n", + "3 : 5847 735 345 114 101 \n", + "4 : 5849 727 362 100 104 \n", + "5 : 5885 753 304 104 96 \n", + "6 : 5850 731 336 95 130 \n", + "7 : 5859 730 340 101 112 \n", + "8 : 5875 724 318 96 129 \n", + "9 : 5842 733 333 111 123 \n", + "10 : 5866 705 336 102 133 \n", + "11 : 5799 782 330 107 124 \n", + "12 : 5867 738 306 105 126 \n", + "13 : 5846 721 360 105 122 \n", "\n", - "T : 82777 10446 3951 1367 1459 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81860 10300 4709 1502 1629 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 9.9604e-03 sec\n", - "--- Collate = 9.0999e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 3.9170e-02 sec\n", + "--- Collate = 7.8131e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.989635e-06 < 6.250000e-03 [913]\n", - "--- Max DT=1.338384e+00 > 1.000000e-01 [66844]\n", + "--- Min DT=3.349949e-07 < 6.250000e-03 [1016]\n", + "--- Max DT=9.496756e-01 > 1.000000e-01 [69118]\n", "----------------------------------------------------------------------\n", - " Component | low: 913/100000\n", - " Component | high: 66844/100000\n", + " Component | low: 1016/100000\n", + " Component | high: 69118/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=59.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00124703 [ 0.82 %]\n", - "Velocity : 0.00389282 [ 2.54 %]\n", - "Force : 0.0574137 [ 37.53 %]\n", - "Coefs : 0.0217698 [ 14.23 %]\n", - "Output : 0.00168837 [ 1.10 %]\n", - "Levels : 0.000294309 [ 0.19 %]\n", - "Report : 8.37e-07 [ 0.00 %]\n", - "Balance : 2.97e-07 [ 0.00 %]\n", - "Adjust : 0.0666407 [ 43.56 %]\n", - "Total : 0.152997 [100.00 %]\n", + "Drift : 0.000603183 [ 0.02 %]\n", + "Velocity : 0.0059413 [ 0.20 %]\n", + "Force : 0.515959 [ 17.12 %]\n", + "Coefs : 1.84639 [ 61.27 %]\n", + "Output : 0.00157821 [ 0.05 %]\n", + "Levels : 0.000311355 [ 0.01 %]\n", + "Report : 1.338e-06 [ 0.00 %]\n", + "Balance : 4.44e-07 [ 0.00 %]\n", + "Adjust : 0.642746 [ 21.33 %]\n", + "Total : 3.01358 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5898 746 288 102 108 \n", - "1 : 5949 709 294 91 99 \n", - "2 : 5883 787 281 92 99 \n", - "3 : 5930 746 271 91 104 \n", - "4 : 5905 723 278 100 136 \n", - "5 : 5923 729 282 108 100 \n", - "6 : 5923 758 261 94 106 \n", - "7 : 5881 775 291 89 106 \n", - "8 : 5948 726 274 106 88 \n", - "9 : 5888 755 292 108 99 \n", - "10 : 5899 776 265 109 93 \n", - "11 : 5879 747 302 98 116 \n", - "12 : 5923 699 297 106 117 \n", - "13 : 5891 775 296 94 98 \n", + "0 : 5828 728 356 118 112 \n", + "1 : 5821 747 347 120 107 \n", + "2 : 5828 736 352 107 119 \n", + "3 : 5847 730 351 115 99 \n", + "4 : 5844 732 360 103 103 \n", + "5 : 5882 757 307 95 101 \n", + "6 : 5851 735 328 104 124 \n", + "7 : 5858 724 343 99 118 \n", + "8 : 5875 726 315 94 132 \n", + "9 : 5839 740 330 104 129 \n", + "10 : 5862 705 339 115 121 \n", + "11 : 5801 778 323 121 119 \n", + "12 : 5873 725 305 114 125 \n", + "13 : 5849 722 360 96 127 \n", "\n", - "T : 82720 10451 3972 1388 1469 [100000]\n", + "T : 81858 10285 4716 1505 1636 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.3%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 9.8107e-03 sec\n", - "--- Collate = 7.0755e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 4.4391e-02 sec\n", + "--- Collate = 1.0023e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.748118e-06 < 6.250000e-03 [917]\n", - "--- Max DT=1.384746e+00 > 1.000000e-01 [66840]\n", + "--- Min DT=4.131371e-06 < 6.250000e-03 [996]\n", + "--- Max DT=9.557363e-01 > 1.000000e-01 [69122]\n", "----------------------------------------------------------------------\n", - " Component | low: 917/100000\n", - " Component | high: 66840/100000\n", + " Component | low: 996/100000\n", + " Component | high: 69122/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=59.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00123381 [ 0.84 %]\n", - "Velocity : 0.00398736 [ 2.71 %]\n", - "Force : 0.0540186 [ 36.77 %]\n", - "Coefs : 0.0199539 [ 13.58 %]\n", - "Output : 0.00158244 [ 1.08 %]\n", - "Levels : 0.000226946 [ 0.15 %]\n", - "Report : 7.86e-07 [ 0.00 %]\n", - "Balance : 3.02e-07 [ 0.00 %]\n", - "Adjust : 0.0658489 [ 44.82 %]\n", - "Total : 0.146906 [100.00 %]\n", + "Drift : 0.000478586 [ 0.02 %]\n", + "Velocity : 0.00263319 [ 0.09 %]\n", + "Force : 0.538224 [ 19.27 %]\n", + "Coefs : 1.58709 [ 56.83 %]\n", + "Output : 0.00151527 [ 0.05 %]\n", + "Levels : 0.000558834 [ 0.02 %]\n", + "Report : 1.042e-06 [ 0.00 %]\n", + "Balance : 4.3e-07 [ 0.00 %]\n", + "Adjust : 0.662084 [ 23.71 %]\n", + "Total : 2.79263 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5903 742 287 91 119 \n", - "1 : 5940 720 285 96 101 \n", - "2 : 5883 786 279 93 101 \n", - "3 : 5930 743 264 101 104 \n", - "4 : 5904 713 284 109 132 \n", - "5 : 5930 717 280 115 100 \n", - "6 : 5914 758 267 86 117 \n", - "7 : 5885 762 295 94 106 \n", - "8 : 5950 716 283 103 90 \n", - "9 : 5889 754 294 104 101 \n", - "10 : 5892 779 265 110 96 \n", - "11 : 5880 740 315 95 112 \n", - "12 : 5914 709 284 111 124 \n", - "13 : 5880 781 302 91 100 \n", + "0 : 5830 719 358 123 112 \n", + "1 : 5820 747 352 108 115 \n", + "2 : 5831 732 350 106 123 \n", + "3 : 5846 733 351 112 100 \n", + "4 : 5846 742 345 105 104 \n", + "5 : 5886 744 312 102 98 \n", + "6 : 5858 730 316 114 124 \n", + "7 : 5857 722 343 102 118 \n", + "8 : 5875 734 309 98 126 \n", + "9 : 5841 731 337 111 122 \n", + "10 : 5862 697 343 119 121 \n", + "11 : 5806 772 328 121 115 \n", + "12 : 5876 718 309 119 120 \n", + "13 : 5840 741 351 97 125 \n", "\n", - "T : 82694 10420 3984 1399 1503 [100000]\n", + "T : 81874 10262 4704 1537 1623 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", - "--- Adj/Tot = 1.8%\n", - "--- Update = 1.0170e-02 sec\n", - "--- Collate = 6.6661e-05 sec\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 5.7530e-02 sec\n", + "--- Collate = 2.2022e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.994063e-06 < 6.250000e-03 [913]\n", - "--- Max DT=1.432900e+00 > 1.000000e-01 [66849]\n", + "--- Min DT=1.073786e-05 < 6.250000e-03 [1011]\n", + "--- Max DT=9.618023e-01 > 1.000000e-01 [69105]\n", "----------------------------------------------------------------------\n", - " Component | low: 913/100000\n", - " Component | high: 66849/100000\n", + " Component | low: 1011/100000\n", + " Component | high: 69105/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=59.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00124698 [ 0.84 %]\n", - "Velocity : 0.00414936 [ 2.79 %]\n", - "Force : 0.0545622 [ 36.75 %]\n", - "Coefs : 0.0201417 [ 13.56 %]\n", - "Output : 0.00157343 [ 1.06 %]\n", - "Levels : 0.000238244 [ 0.16 %]\n", - "Report : 9.12e-07 [ 0.00 %]\n", - "Balance : 2.83e-07 [ 0.00 %]\n", - "Adjust : 0.0665215 [ 44.80 %]\n", - "Total : 0.148488 [100.00 %]\n", + "Drift : 0.000544135 [ 0.02 %]\n", + "Velocity : 0.00297015 [ 0.09 %]\n", + "Force : 0.580959 [ 18.36 %]\n", + "Coefs : 1.8183 [ 57.47 %]\n", + "Output : 0.00138684 [ 0.04 %]\n", + "Levels : 0.000254932 [ 0.01 %]\n", + "Report : 7.15e-07 [ 0.00 %]\n", + "Balance : 3.08e-07 [ 0.00 %]\n", + "Adjust : 0.759534 [ 24.01 %]\n", + "Total : 3.164 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5900 748 282 95 117 \n", - "1 : 5936 728 284 87 107 \n", - "2 : 5886 780 279 93 104 \n", - "3 : 5928 743 269 95 107 \n", - "4 : 5900 710 288 112 132 \n", - "5 : 5938 714 273 117 100 \n", - "6 : 5914 757 264 96 111 \n", - "7 : 5888 761 294 92 107 \n", - "8 : 5945 723 277 107 90 \n", - "9 : 5884 751 303 103 101 \n", - "10 : 5886 783 264 112 97 \n", - "11 : 5875 748 311 92 116 \n", - "12 : 5914 707 290 111 120 \n", - "13 : 5880 783 287 109 95 \n", + "0 : 5830 719 357 124 112 \n", + "1 : 5811 757 354 103 117 \n", + "2 : 5827 737 349 107 122 \n", + "3 : 5850 726 357 105 104 \n", + "4 : 5847 743 343 113 96 \n", + "5 : 5886 744 308 108 96 \n", + "6 : 5860 725 321 116 120 \n", + "7 : 5864 720 343 92 123 \n", + "8 : 5875 736 315 86 130 \n", + "9 : 5834 738 341 102 127 \n", + "10 : 5862 693 341 129 117 \n", + "11 : 5806 770 337 109 120 \n", + "12 : 5877 718 310 117 120 \n", + "13 : 5837 745 340 106 126 \n", "\n", - "T : 82674 10436 3965 1421 1504 [100000]\n", + "T : 81866 10271 4716 1517 1630 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 1.0096e-02 sec\n", - "--- Collate = 8.2897e-05 sec\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 3.7202e-02 sec\n", + "--- Collate = 9.0237e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.529600e-05 < 6.250000e-03 [940]\n", - "--- Max DT=1.479627e+00 > 1.000000e-01 [66847]\n", + "--- Min DT=1.145663e-07 < 6.250000e-03 [1003]\n", + "--- Max DT=9.678736e-01 > 1.000000e-01 [69105]\n", "----------------------------------------------------------------------\n", - " Component | low: 940/100000\n", - " Component | high: 66847/100000\n", + " Component | low: 1003/100000\n", + " Component | high: 69105/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=59.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00128312 [ 0.88 %]\n", - "Velocity : 0.00420628 [ 2.87 %]\n", - "Force : 0.0537677 [ 36.68 %]\n", - "Coefs : 0.0200253 [ 13.66 %]\n", - "Output : 0.00173058 [ 1.18 %]\n", - "Levels : 0.000228539 [ 0.16 %]\n", - "Report : 7.85e-07 [ 0.00 %]\n", - "Balance : 3.11e-07 [ 0.00 %]\n", - "Adjust : 0.0652917 [ 44.54 %]\n", - "Total : 0.14659 [100.00 %]\n", + "Drift : 0.000462356 [ 0.01 %]\n", + "Velocity : 0.00209567 [ 0.06 %]\n", + "Force : 0.593149 [ 16.12 %]\n", + "Coefs : 2.35072 [ 63.88 %]\n", + "Output : 0.000853256 [ 0.02 %]\n", + "Levels : 0.000252372 [ 0.01 %]\n", + "Report : 8.58e-07 [ 0.00 %]\n", + "Balance : 2.81e-07 [ 0.00 %]\n", + "Adjust : 0.73208 [ 19.90 %]\n", + "Total : 3.67966 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5888 757 283 94 120 \n", - "1 : 5934 726 287 83 112 \n", - "2 : 5889 776 280 94 103 \n", - "3 : 5929 732 280 91 110 \n", - "4 : 5894 714 284 112 138 \n", - "5 : 5940 714 259 129 100 \n", - "6 : 5904 766 266 99 107 \n", - "7 : 5886 765 289 98 104 \n", - "8 : 5935 733 274 110 90 \n", - "9 : 5881 756 300 104 101 \n", - "10 : 5889 777 267 112 97 \n", - "11 : 5874 750 302 103 113 \n", - "12 : 5919 704 295 101 123 \n", - "13 : 5868 788 293 107 98 \n", + "0 : 5825 727 358 115 117 \n", + "1 : 5808 757 357 95 125 \n", + "2 : 5820 741 351 107 123 \n", + "3 : 5856 724 347 103 112 \n", + "4 : 5844 742 345 111 100 \n", + "5 : 5889 738 316 93 106 \n", + "6 : 5858 725 313 122 124 \n", + "7 : 5870 717 329 104 122 \n", + "8 : 5877 734 308 99 124 \n", + "9 : 5832 736 343 108 123 \n", + "10 : 5854 705 334 141 108 \n", + "11 : 5808 768 336 107 123 \n", + "12 : 5874 713 321 107 127 \n", + "13 : 5830 745 350 104 125 \n", "\n", - "T : 82630 10458 3959 1437 1516 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81845 10272 4708 1516 1659 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.3%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 1.0139e-02 sec\n", - "--- Collate = 7.9191e-05 sec\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 5.5438e-02 sec\n", + "--- Collate = 7.0138e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.263577e-06 < 6.250000e-03 [920]\n", - "--- Max DT=1.519427e+00 > 1.000000e-01 [66835]\n", + "--- Min DT=7.859612e-06 < 6.250000e-03 [1006]\n", + "--- Max DT=9.739502e-01 > 1.000000e-01 [69107]\n", "----------------------------------------------------------------------\n", - " Component | low: 920/100000\n", - " Component | high: 66835/100000\n", + " Component | low: 1006/100000\n", + " Component | high: 69107/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=59.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00132969 [ 0.88 %]\n", - "Velocity : 0.00434974 [ 2.89 %]\n", - "Force : 0.0549917 [ 36.52 %]\n", - "Coefs : 0.0202367 [ 13.44 %]\n", - "Output : 0.00161205 [ 1.07 %]\n", - "Levels : 0.000264199 [ 0.18 %]\n", - "Report : 8.44e-07 [ 0.00 %]\n", - "Balance : 3.37e-07 [ 0.00 %]\n", - "Adjust : 0.0677396 [ 44.98 %]\n", - "Total : 0.150584 [100.00 %]\n", + "Drift : 0.000526846 [ 0.01 %]\n", + "Velocity : 0.002419 [ 0.06 %]\n", + "Force : 0.684361 [ 17.52 %]\n", + "Coefs : 2.36637 [ 60.57 %]\n", + "Output : 0.00139631 [ 0.04 %]\n", + "Levels : 0.000319532 [ 0.01 %]\n", + "Report : 1.005e-06 [ 0.00 %]\n", + "Balance : 3.87e-07 [ 0.00 %]\n", + "Adjust : 0.851253 [ 21.79 %]\n", + "Total : 3.9067 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5879 762 286 93 122 \n", - "1 : 5928 726 290 87 111 \n", - "2 : 5877 788 269 103 105 \n", - "3 : 5918 741 275 96 112 \n", - "4 : 5887 716 288 113 138 \n", - "5 : 5946 704 265 117 110 \n", - "6 : 5902 753 289 99 99 \n", - "7 : 5878 773 295 94 102 \n", - "8 : 5934 730 279 104 95 \n", - "9 : 5870 757 298 106 111 \n", - "10 : 5883 777 276 98 108 \n", - "11 : 5862 765 294 108 113 \n", - "12 : 5915 705 292 101 129 \n", - "13 : 5862 786 301 104 101 \n", + "0 : 5830 728 360 103 121 \n", + "1 : 5814 748 353 104 123 \n", + "2 : 5813 751 343 111 124 \n", + "3 : 5863 724 340 99 116 \n", + "4 : 5842 742 341 112 105 \n", + "5 : 5890 738 315 92 107 \n", + "6 : 5855 726 320 116 125 \n", + "7 : 5868 720 323 108 123 \n", + "8 : 5869 740 302 106 125 \n", + "9 : 5831 741 333 106 131 \n", + "10 : 5856 698 332 146 110 \n", + "11 : 5804 770 347 94 127 \n", + "12 : 5880 701 318 123 120 \n", + "13 : 5835 741 355 93 130 \n", "\n", - "T : 82541 10483 3997 1423 1556 [100000]\n", + "T : 81850 10268 4682 1513 1687 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.4%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 9.7915e-03 sec\n", - "--- Collate = 7.0353e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.3538e-02 sec\n", + "--- Collate = 8.0260e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.150622e-06 < 6.250000e-03 [944]\n", - "--- Max DT=1.553149e+00 > 1.000000e-01 [66826]\n", + "--- Min DT=2.394615e-06 < 6.250000e-03 [1004]\n", + "--- Max DT=9.800320e-01 > 1.000000e-01 [69114]\n", "----------------------------------------------------------------------\n", - " Component | low: 944/100000\n", - " Component | high: 66826/100000\n", + " Component | low: 1004/100000\n", + " Component | high: 69114/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=59.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00127948 [ 0.87 %]\n", - "Velocity : 0.00347222 [ 2.36 %]\n", - "Force : 0.0548643 [ 37.28 %]\n", - "Coefs : 0.0204485 [ 13.90 %]\n", - "Output : 0.00162505 [ 1.10 %]\n", - "Levels : 0.000221301 [ 0.15 %]\n", - "Report : 8.18e-07 [ 0.00 %]\n", - "Balance : 3.33e-07 [ 0.00 %]\n", - "Adjust : 0.0651806 [ 44.30 %]\n", - "Total : 0.147151 [100.00 %]\n", + "Drift : 0.000608335 [ 0.02 %]\n", + "Velocity : 0.00261832 [ 0.08 %]\n", + "Force : 0.513914 [ 15.95 %]\n", + "Coefs : 1.98836 [ 61.69 %]\n", + "Output : 0.00130616 [ 0.04 %]\n", + "Levels : 0.000580885 [ 0.02 %]\n", + "Report : 1.157e-06 [ 0.00 %]\n", + "Balance : 5.1e-07 [ 0.00 %]\n", + "Adjust : 0.715522 [ 22.20 %]\n", + "Total : 3.22296 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5883 756 283 97 123 \n", - "1 : 5923 733 287 93 106 \n", - "2 : 5874 787 270 105 106 \n", - "3 : 5914 734 282 107 105 \n", - "4 : 5881 719 287 122 133 \n", - "5 : 5940 705 268 119 110 \n", - "6 : 5903 749 286 95 109 \n", - "7 : 5879 772 284 108 99 \n", - "8 : 5930 731 287 98 96 \n", - "9 : 5870 754 301 106 111 \n", - "10 : 5873 784 277 99 109 \n", - "11 : 5860 767 288 110 117 \n", - "12 : 5910 705 295 99 133 \n", - "13 : 5861 787 296 108 102 \n", + "0 : 5832 732 348 107 123 \n", + "1 : 5819 733 357 110 123 \n", + "2 : 5810 754 340 113 125 \n", + "3 : 5865 721 344 93 119 \n", + "4 : 5833 739 352 113 105 \n", + "5 : 5891 732 318 100 101 \n", + "6 : 5856 728 319 111 128 \n", + "7 : 5862 729 325 106 120 \n", + "8 : 5868 743 303 102 126 \n", + "9 : 5828 748 333 101 132 \n", + "10 : 5859 696 339 134 114 \n", + "11 : 5809 759 349 102 123 \n", + "12 : 5882 701 316 122 121 \n", + "13 : 5833 743 354 94 130 \n", "\n", - "T : 82501 10483 3991 1466 1559 [100000]\n", + "T : 81847 10258 4697 1508 1690 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.3%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.0781e-02 sec\n", - "--- Collate = 8.1760e-05 sec\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 6.9125e-02 sec\n", + "--- Collate = 7.8741e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.101065e-07 < 6.250000e-03 [967]\n", - "--- Max DT=1.486619e+00 > 1.000000e-01 [66806]\n", + "--- Min DT=1.513999e-06 < 6.250000e-03 [974]\n", + "--- Max DT=9.861190e-01 > 1.000000e-01 [69111]\n", "----------------------------------------------------------------------\n", - " Component | low: 967/100000\n", - " Component | high: 66806/100000\n", + " Component | low: 974/100000\n", + " Component | high: 69111/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=60] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00125937 [ 0.81 %]\n", - "Velocity : 0.00405943 [ 2.60 %]\n", - "Force : 0.0559437 [ 35.84 %]\n", - "Coefs : 0.0202855 [ 12.99 %]\n", - "Output : 0.00658777 [ 4.22 %]\n", - "Levels : 0.000240682 [ 0.15 %]\n", - "Report : 1.19e-06 [ 0.00 %]\n", - "Balance : 8.7e-07 [ 0.00 %]\n", - "Adjust : 0.0676766 [ 43.35 %]\n", - "Total : 0.15611 [100.00 %]\n", + "Drift : 0.000593187 [ 0.02 %]\n", + "Velocity : 0.00528413 [ 0.15 %]\n", + "Force : 0.642515 [ 18.17 %]\n", + "Coefs : 2.15873 [ 61.06 %]\n", + "Output : 0.0160716 [ 0.45 %]\n", + "Levels : 0.000267711 [ 0.01 %]\n", + "Report : 1.325e-06 [ 0.00 %]\n", + "Balance : 6e-07 [ 0.00 %]\n", + "Adjust : 0.711991 [ 20.14 %]\n", + "Total : 3.53551 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5876 765 280 105 116 \n", - "1 : 5926 722 290 100 104 \n", - "2 : 5876 783 268 107 108 \n", - "3 : 5914 731 284 107 106 \n", - "4 : 5885 708 298 125 126 \n", - "5 : 5948 696 265 118 115 \n", - "6 : 5890 765 280 97 110 \n", - "7 : 5876 766 302 100 98 \n", - "8 : 5934 726 286 91 105 \n", - "9 : 5866 754 305 103 114 \n", - "10 : 5870 791 271 103 107 \n", - "11 : 5860 763 292 105 122 \n", - "12 : 5901 713 289 105 134 \n", - "13 : 5860 784 291 116 103 \n", + "0 : 5838 723 349 111 121 \n", + "1 : 5827 724 354 118 119 \n", + "2 : 5816 747 340 119 120 \n", + "3 : 5866 721 338 93 124 \n", + "4 : 5842 739 344 110 107 \n", + "5 : 5896 728 321 93 104 \n", + "6 : 5849 733 315 113 132 \n", + "7 : 5859 738 322 106 117 \n", + "8 : 5866 750 296 115 115 \n", + "9 : 5831 746 330 103 132 \n", + "10 : 5860 699 335 132 116 \n", + "11 : 5810 757 352 107 116 \n", + "12 : 5880 700 323 117 122 \n", + "13 : 5832 747 345 108 122 \n", "\n", - "T : 82482 10467 4001 1482 1568 [100000]\n", + "T : 81872 10252 4664 1545 1667 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 9.8447e-03 sec\n", - "--- Collate = 7.2821e-05 sec\n", + "--- Coef/DT = 44.3%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 4.9503e-02 sec\n", + "--- Collate = 1.4032e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.115452e-06 < 6.250000e-03 [979]\n", - "--- Max DT=1.475264e+00 > 1.000000e-01 [66781]\n", + "--- Min DT=5.703871e-07 < 6.250000e-03 [1007]\n", + "--- Max DT=9.922112e-01 > 1.000000e-01 [69095]\n", "----------------------------------------------------------------------\n", - " Component | low: 979/100000\n", - " Component | high: 66781/100000\n", + " Component | low: 1007/100000\n", + " Component | high: 69095/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=60.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00123173 [ 0.80 %]\n", - "Velocity : 0.0041675 [ 2.72 %]\n", - "Force : 0.0571338 [ 37.29 %]\n", - "Coefs : 0.0204256 [ 13.33 %]\n", - "Output : 0.00170467 [ 1.11 %]\n", - "Levels : 0.000235708 [ 0.15 %]\n", - "Report : 8.28e-07 [ 0.00 %]\n", - "Balance : 3.36e-07 [ 0.00 %]\n", - "Adjust : 0.0682451 [ 44.55 %]\n", - "Total : 0.153203 [100.00 %]\n", + "Drift : 0.000529626 [ 0.01 %]\n", + "Velocity : 0.00232203 [ 0.06 %]\n", + "Force : 0.675157 [ 17.57 %]\n", + "Coefs : 2.40141 [ 62.48 %]\n", + "Output : 0.00102027 [ 0.03 %]\n", + "Levels : 0.000264958 [ 0.01 %]\n", + "Report : 7.48e-07 [ 0.00 %]\n", + "Balance : 2.27e-07 [ 0.00 %]\n", + "Adjust : 0.762966 [ 19.85 %]\n", + "Total : 3.84372 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5877 756 291 92 126 \n", - "1 : 5926 720 289 106 101 \n", - "2 : 5875 778 270 112 107 \n", - "3 : 5908 732 284 114 104 \n", - "4 : 5872 714 307 124 125 \n", - "5 : 5946 695 269 110 122 \n", - "6 : 5888 768 273 102 111 \n", - "7 : 5877 769 289 106 101 \n", - "8 : 5926 737 288 89 102 \n", - "9 : 5863 754 307 98 120 \n", - "10 : 5869 794 267 103 109 \n", - "11 : 5851 763 297 104 127 \n", - "12 : 5891 710 305 108 128 \n", - "13 : 5857 778 300 99 120 \n", + "0 : 5843 719 347 114 119 \n", + "1 : 5834 720 349 119 120 \n", + "2 : 5812 751 336 133 110 \n", + "3 : 5857 727 337 96 125 \n", + "4 : 5841 739 349 101 112 \n", + "5 : 5907 714 326 97 98 \n", + "6 : 5853 723 319 116 131 \n", + "7 : 5857 737 323 103 122 \n", + "8 : 5871 746 298 106 121 \n", + "9 : 5831 750 318 118 125 \n", + "10 : 5861 694 342 128 117 \n", + "11 : 5814 750 351 112 115 \n", + "12 : 5879 709 320 115 119 \n", + "13 : 5834 751 339 110 120 \n", "\n", - "T : 82426 10468 4036 1467 1603 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81894 10230 4654 1568 1654 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.0221e-02 sec\n", - "--- Collate = 7.1838e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 4.6668e-02 sec\n", + "--- Collate = 7.0586e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.187693e-06 < 6.250000e-03 [1005]\n", - "--- Max DT=1.440933e+00 > 1.000000e-01 [66772]\n", + "--- Min DT=3.819473e-06 < 6.250000e-03 [998]\n", + "--- Max DT=9.983085e-01 > 1.000000e-01 [69107]\n", "----------------------------------------------------------------------\n", - " Component | low: 1005/100000\n", - " Component | high: 66772/100000\n", + " Component | low: 998/100000\n", + " Component | high: 69107/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=60.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00125765 [ 0.82 %]\n", - "Velocity : 0.00427758 [ 2.79 %]\n", - "Force : 0.0557197 [ 36.32 %]\n", - "Coefs : 0.0211735 [ 13.80 %]\n", - "Output : 0.00158672 [ 1.03 %]\n", - "Levels : 0.000228031 [ 0.15 %]\n", - "Report : 8.86e-07 [ 0.00 %]\n", - "Balance : 2.96e-07 [ 0.00 %]\n", - "Adjust : 0.0690945 [ 45.04 %]\n", - "Total : 0.153396 [100.00 %]\n", + "Drift : 0.000684573 [ 0.02 %]\n", + "Velocity : 0.0022429 [ 0.06 %]\n", + "Force : 0.564244 [ 15.92 %]\n", + "Coefs : 2.23065 [ 62.93 %]\n", + "Output : 0.00141069 [ 0.04 %]\n", + "Levels : 0.000324706 [ 0.01 %]\n", + "Report : 1.131e-06 [ 0.00 %]\n", + "Balance : 4.37e-07 [ 0.00 %]\n", + "Adjust : 0.744829 [ 21.01 %]\n", + "Total : 3.54444 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5878 750 294 95 125 \n", - "1 : 5932 709 296 103 102 \n", - "2 : 5864 786 275 103 114 \n", - "3 : 5903 734 285 110 110 \n", - "4 : 5863 716 310 122 131 \n", - "5 : 5939 693 281 113 116 \n", - "6 : 5895 752 285 104 106 \n", - "7 : 5875 764 297 102 104 \n", - "8 : 5929 729 297 81 106 \n", - "9 : 5848 766 311 99 118 \n", - "10 : 5866 789 273 97 117 \n", - "11 : 5850 759 297 115 121 \n", - "12 : 5880 716 309 106 131 \n", - "13 : 5854 774 297 107 122 \n", + "0 : 5845 715 346 114 122 \n", + "1 : 5837 722 336 125 122 \n", + "2 : 5813 747 332 138 112 \n", + "3 : 5859 720 341 99 123 \n", + "4 : 5842 739 350 107 104 \n", + "5 : 5905 726 320 94 97 \n", + "6 : 5853 728 319 111 131 \n", + "7 : 5862 725 335 101 119 \n", + "8 : 5870 741 307 98 126 \n", + "9 : 5836 742 325 109 130 \n", + "10 : 5855 709 343 110 125 \n", + "11 : 5815 748 349 122 108 \n", + "12 : 5883 703 329 113 114 \n", + "13 : 5842 749 334 115 114 \n", "\n", - "T : 82376 10437 4107 1457 1623 [100000]\n", + "T : 81917 10214 4666 1556 1647 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.0101e-02 sec\n", - "--- Collate = 7.1821e-05 sec\n", + "--- Coef/DT = 29.2%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 5.5595e-02 sec\n", + "--- Collate = 8.0299e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.830405e-06 < 6.250000e-03 [1008]\n", - "--- Max DT=1.375577e+00 > 1.000000e-01 [66771]\n", + "--- Min DT=2.957223e-06 < 6.250000e-03 [990]\n", + "--- Max DT=1.004411e+00 > 1.000000e-01 [69110]\n", "----------------------------------------------------------------------\n", - " Component | low: 1008/100000\n", - " Component | high: 66771/100000\n", + " Component | low: 990/100000\n", + " Component | high: 69110/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=60.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0012648 [ 0.83 %]\n", - "Velocity : 0.00364974 [ 2.39 %]\n", - "Force : 0.0568169 [ 37.24 %]\n", - "Coefs : 0.0214113 [ 14.03 %]\n", - "Output : 0.00154094 [ 1.01 %]\n", - "Levels : 0.000264699 [ 0.17 %]\n", - "Report : 8.34e-07 [ 0.00 %]\n", - "Balance : 3.09e-07 [ 0.00 %]\n", - "Adjust : 0.0675621 [ 44.28 %]\n", - "Total : 0.152567 [100.00 %]\n", + "Drift : 0.000476993 [ 0.01 %]\n", + "Velocity : 0.00182968 [ 0.05 %]\n", + "Force : 0.593574 [ 16.02 %]\n", + "Coefs : 2.30646 [ 62.26 %]\n", + "Output : 0.00134777 [ 0.04 %]\n", + "Levels : 0.000243161 [ 0.01 %]\n", + "Report : 8.04e-07 [ 0.00 %]\n", + "Balance : 3.06e-07 [ 0.00 %]\n", + "Adjust : 0.80063 [ 21.61 %]\n", + "Total : 3.70461 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5876 752 291 96 127 \n", - "1 : 5923 709 304 100 106 \n", - "2 : 5865 788 267 103 119 \n", - "3 : 5902 728 289 107 116 \n", - "4 : 5856 717 324 117 128 \n", - "5 : 5937 687 290 110 118 \n", - "6 : 5893 750 290 102 107 \n", - "7 : 5874 767 295 106 100 \n", - "8 : 5920 733 304 82 103 \n", - "9 : 5844 771 305 100 122 \n", - "10 : 5852 794 285 94 117 \n", - "11 : 5846 750 307 120 119 \n", - "12 : 5882 713 307 104 136 \n", - "13 : 5852 772 292 112 126 \n", + "0 : 5848 711 346 114 123 \n", + "1 : 5830 728 342 120 122 \n", + "2 : 5811 753 328 132 118 \n", + "3 : 5861 718 337 111 115 \n", + "4 : 5848 723 351 108 112 \n", + "5 : 5912 713 324 95 98 \n", + "6 : 5857 720 329 110 126 \n", + "7 : 5861 726 329 112 114 \n", + "8 : 5868 734 319 104 117 \n", + "9 : 5830 756 315 104 137 \n", + "10 : 5860 701 343 109 129 \n", + "11 : 5817 755 344 113 113 \n", + "12 : 5884 700 333 115 110 \n", + "13 : 5847 748 332 112 115 \n", "\n", - "T : 82322 10431 4150 1453 1644 [100000]\n", + "T : 81934 10186 4672 1559 1649 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.6%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 1.0009e-02 sec\n", - "--- Collate = 9.1222e-05 sec\n", + "--- Coef/DT = 3.0%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 6.1967e-02 sec\n", + "--- Collate = 1.2043e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.685644e-06 < 6.250000e-03 [1007]\n", - "--- Max DT=1.290473e+00 > 1.000000e-01 [66765]\n", + "--- Min DT=8.354664e-07 < 6.250000e-03 [990]\n", + "--- Max DT=1.010519e+00 > 1.000000e-01 [69108]\n", "----------------------------------------------------------------------\n", - " Component | low: 1007/100000\n", - " Component | high: 66765/100000\n", + " Component | low: 990/100000\n", + " Component | high: 69108/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=60.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00133161 [ 0.83 %]\n", - "Velocity : 0.00424488 [ 2.66 %]\n", - "Force : 0.0573601 [ 35.91 %]\n", - "Coefs : 0.0217011 [ 13.58 %]\n", - "Output : 0.00130544 [ 0.82 %]\n", - "Levels : 0.000253844 [ 0.16 %]\n", - "Report : 6.49e-07 [ 0.00 %]\n", - "Balance : 3.39e-07 [ 0.00 %]\n", - "Adjust : 0.073498 [ 46.01 %]\n", - "Total : 0.159751 [100.00 %]\n", + "Drift : 0.000507092 [ 0.01 %]\n", + "Velocity : 0.00267713 [ 0.08 %]\n", + "Force : 0.575242 [ 16.89 %]\n", + "Coefs : 2.09636 [ 61.54 %]\n", + "Output : 0.000953924 [ 0.03 %]\n", + "Levels : 0.000297341 [ 0.01 %]\n", + "Report : 8.59e-07 [ 0.00 %]\n", + "Balance : 3.23e-07 [ 0.00 %]\n", + "Adjust : 0.730388 [ 21.44 %]\n", + "Total : 3.40647 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5875 749 294 98 126 \n", - "1 : 5924 707 306 99 106 \n", - "2 : 5850 800 270 115 107 \n", - "3 : 5891 735 292 109 115 \n", - "4 : 5858 708 323 124 129 \n", - "5 : 5935 686 299 106 116 \n", - "6 : 5898 739 293 105 107 \n", - "7 : 5872 762 302 110 96 \n", - "8 : 5924 729 305 89 95 \n", - "9 : 5833 777 307 106 119 \n", - "10 : 5851 790 286 103 112 \n", - "11 : 5836 759 313 112 122 \n", - "12 : 5869 726 302 112 133 \n", - "13 : 5843 779 293 114 125 \n", + "0 : 5849 715 336 121 121 \n", + "1 : 5831 736 331 122 122 \n", + "2 : 5817 751 333 128 113 \n", + "3 : 5862 715 335 108 122 \n", + "4 : 5847 721 353 110 111 \n", + "5 : 5920 704 324 93 101 \n", + "6 : 5855 730 323 111 123 \n", + "7 : 5861 724 332 109 116 \n", + "8 : 5866 733 324 103 116 \n", + "9 : 5834 753 312 102 141 \n", + "10 : 5859 708 337 108 130 \n", + "11 : 5819 750 349 112 112 \n", + "12 : 5882 710 330 109 111 \n", + "13 : 5853 745 335 109 112 \n", "\n", - "T : 82259 10446 4185 1502 1608 [100000]\n", + "T : 81955 10195 4654 1545 1651 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 1.8%\n", - "--- Update = 1.1171e-02 sec\n", - "--- Collate = 9.3593e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 5.3525e-02 sec\n", + "--- Collate = 6.0253e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.420213e-06 < 6.250000e-03 [1025]\n", - "--- Max DT=1.204118e+00 > 1.000000e-01 [66766]\n", + "--- Min DT=6.397094e-06 < 6.250000e-03 [972]\n", + "--- Max DT=1.016631e+00 > 1.000000e-01 [69107]\n", "----------------------------------------------------------------------\n", - " Component | low: 1025/100000\n", - " Component | high: 66766/100000\n", + " Component | low: 972/100000\n", + " Component | high: 69107/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=60.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00158137 [ 0.90 %]\n", - "Velocity : 0.00396832 [ 2.27 %]\n", - "Force : 0.0615514 [ 35.15 %]\n", - "Coefs : 0.0288876 [ 16.50 %]\n", - "Output : 0.00167869 [ 0.96 %]\n", - "Levels : 0.000254676 [ 0.15 %]\n", - "Report : 1.264e-06 [ 0.00 %]\n", - "Balance : 6.12e-07 [ 0.00 %]\n", - "Adjust : 0.0771442 [ 44.05 %]\n", - "Total : 0.175128 [100.00 %]\n", + "Drift : 0.000502117 [ 0.01 %]\n", + "Velocity : 0.00189384 [ 0.05 %]\n", + "Force : 0.590258 [ 16.49 %]\n", + "Coefs : 2.26065 [ 63.17 %]\n", + "Output : 0.000925317 [ 0.03 %]\n", + "Levels : 0.000287515 [ 0.01 %]\n", + "Report : 1.255e-06 [ 0.00 %]\n", + "Balance : 5.71e-07 [ 0.00 %]\n", + "Adjust : 0.724161 [ 20.24 %]\n", + "Total : 3.57873 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5867 757 283 111 124 \n", - "1 : 5920 712 305 97 108 \n", - "2 : 5841 808 275 102 116 \n", - "3 : 5880 741 300 103 118 \n", - "4 : 5849 709 335 119 130 \n", - "5 : 5928 682 311 104 117 \n", - "6 : 5892 748 289 106 107 \n", - "7 : 5870 749 321 107 95 \n", - "8 : 5918 733 307 93 91 \n", - "9 : 5831 786 300 107 118 \n", - "10 : 5848 784 294 111 105 \n", - "11 : 5825 760 326 111 120 \n", - "12 : 5862 733 301 117 129 \n", - "13 : 5846 771 301 104 132 \n", + "0 : 5850 710 336 127 119 \n", + "1 : 5839 731 333 121 118 \n", + "2 : 5817 747 336 124 118 \n", + "3 : 5864 717 326 119 116 \n", + "4 : 5846 726 345 110 115 \n", + "5 : 5923 697 332 89 101 \n", + "6 : 5860 732 314 111 125 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"----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.372580e-06 < 6.250000e-03 [1019]\n", - "--- Max DT=1.167973e+00 > 1.000000e-01 [66751]\n", + "--- Min DT=1.333331e-06 < 6.250000e-03 [1012]\n", + "--- Max DT=1.022749e+00 > 1.000000e-01 [69081]\n", "----------------------------------------------------------------------\n", - " Component | low: 1019/100000\n", - " Component | high: 66751/100000\n", + " Component | low: 1012/100000\n", + " Component | high: 69081/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=60.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000535576 [ 0.32 %]\n", - "Velocity : 0.00260387 [ 1.56 %]\n", - "Force : 0.0621898 [ 37.24 %]\n", - "Coefs : 0.0244876 [ 14.66 %]\n", - "Output : 0.00104123 [ 0.62 %]\n", - "Levels : 0.000166423 [ 0.10 %]\n", - "Report : 9.96e-07 [ 0.00 %]\n", - "Balance : 2.74e-07 [ 0.00 %]\n", - "Adjust : 0.0758963 [ 45.45 %]\n", - "Total : 0.166981 [100.00 %]\n", + "Drift : 0.00051792 [ 0.02 %]\n", + "Velocity : 0.00655447 [ 0.19 %]\n", + "Force : 0.528599 [ 15.64 %]\n", + "Coefs : 2.08343 [ 61.66 %]\n", + "Output : 0.00127991 [ 0.04 %]\n", + "Levels : 0.000263955 [ 0.01 %]\n", + "Report : 1.151e-06 [ 0.00 %]\n", + "Balance : 3.91e-07 [ 0.00 %]\n", + "Adjust : 0.758196 [ 22.44 %]\n", + "Total : 3.37889 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5867 756 277 113 129 \n", - "1 : 5914 717 305 103 103 \n", - "2 : 5835 816 271 104 116 \n", - "3 : 5874 739 305 100 124 \n", - "4 : 5843 714 330 127 128 \n", - "5 : 5920 692 305 111 114 \n", - "6 : 5889 754 280 109 110 \n", - "7 : 5867 745 325 105 100 \n", - "8 : 5909 733 311 101 88 \n", - "9 : 5838 774 301 104 125 \n", - "10 : 5836 791 300 105 110 \n", - "11 : 5829 752 328 115 118 \n", - "12 : 5862 733 297 122 128 \n", - "13 : 5840 782 298 107 127 \n", + "0 : 5849 705 347 120 121 \n", + "1 : 5837 745 324 113 123 \n", + "2 : 5809 750 348 112 123 \n", + "3 : 5865 718 320 128 111 \n", + "4 : 5839 729 340 116 118 \n", + "5 : 5926 683 342 93 98 \n", + "6 : 5861 737 315 107 122 \n", + "7 : 5868 722 330 104 118 \n", + "8 : 5863 731 331 105 112 \n", + "9 : 5841 737 309 116 139 \n", + "10 : 5862 697 343 115 125 \n", + "11 : 5821 756 337 117 111 \n", + "12 : 5879 720 328 124 91 \n", + "13 : 5855 740 337 106 116 \n", "\n", - "T : 82123 10498 4233 1526 1620 [100000]\n", + "T : 81975 10170 4651 1576 1628 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.6%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.0711e-02 sec\n", - "--- Collate = 7.1097e-05 sec\n", + "--- Coef/DT = 33.3%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 5.0517e-02 sec\n", + "--- Collate = 2.0466e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.426285e-06 < 6.250000e-03 [1017]\n", - "--- Max DT=1.288312e+00 > 1.000000e-01 [66768]\n", + "--- Min DT=2.644390e-06 < 6.250000e-03 [966]\n", + "--- Max DT=1.028872e+00 > 1.000000e-01 [69084]\n", "----------------------------------------------------------------------\n", - " Component | low: 1017/100000\n", - " Component | high: 66768/100000\n", + " Component | low: 966/100000\n", + " Component | high: 69084/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=60.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000542585 [ 0.35 %]\n", - "Velocity : 0.00205352 [ 1.34 %]\n", - "Force : 0.0580257 [ 37.90 %]\n", - "Coefs : 0.0229783 [ 15.01 %]\n", - "Output : 0.000908024 [ 0.59 %]\n", - "Levels : 0.000252504 [ 0.16 %]\n", - "Report : 1.132e-06 [ 0.00 %]\n", - "Balance : 2.75e-07 [ 0.00 %]\n", - "Adjust : 0.0682831 [ 44.60 %]\n", - "Total : 0.153089 [100.00 %]\n", + "Drift : 0.000588079 [ 0.02 %]\n", + "Velocity : 0.00220015 [ 0.06 %]\n", + "Force : 0.600252 [ 17.06 %]\n", + "Coefs : 2.17831 [ 61.89 %]\n", + "Output : 0.00138365 [ 0.04 %]\n", + "Levels : 0.000381875 [ 0.01 %]\n", + "Report : 1.082e-06 [ 0.00 %]\n", + "Balance : 3.79e-07 [ 0.00 %]\n", + "Adjust : 0.736201 [ 20.92 %]\n", + "Total : 3.51937 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5867 751 283 110 131 \n", - "1 : 5906 720 308 104 104 \n", - "2 : 5828 812 280 97 125 \n", - "3 : 5862 744 312 100 124 \n", - "4 : 5837 716 336 121 132 \n", - "5 : 5906 702 308 105 121 \n", - "6 : 5884 753 279 113 113 \n", - "7 : 5861 742 334 104 101 \n", - "8 : 5901 737 315 94 95 \n", - "9 : 5840 769 300 108 125 \n", - "10 : 5825 799 306 91 121 \n", - "11 : 5824 750 334 116 118 \n", - "12 : 5856 734 304 117 131 \n", - "13 : 5839 780 296 114 125 \n", + "0 : 5844 706 351 121 120 \n", + "1 : 5840 742 329 112 119 \n", + "2 : 5815 750 344 107 126 \n", + "3 : 5867 715 322 132 106 \n", + "4 : 5843 726 339 115 119 \n", + "5 : 5925 694 333 91 99 \n", + "6 : 5861 741 313 104 123 \n", + "7 : 5865 718 329 111 119 \n", + "8 : 5869 728 332 104 109 \n", + "9 : 5836 744 309 115 138 \n", + "10 : 5871 688 339 127 117 \n", + "11 : 5816 765 340 106 115 \n", + "12 : 5871 733 322 122 94 \n", + "13 : 5858 728 346 103 119 \n", "\n", - "T : 82036 10509 4295 1494 1666 [100000]\n", + "T : 81981 10178 4648 1570 1623 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.0285e-02 sec\n", - "--- Collate = 8.4417e-05 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 4.3634e-02 sec\n", + "--- Collate = 6.0280e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.355046e-07 < 6.250000e-03 [1008]\n", - "--- Max DT=1.340253e+00 > 1.000000e-01 [66790]\n", + "--- Min DT=5.790069e-06 < 6.250000e-03 [957]\n", + "--- Max DT=1.034999e+00 > 1.000000e-01 [69061]\n", "----------------------------------------------------------------------\n", - " Component | low: 1008/100000\n", - " Component | high: 66790/100000\n", + " Component | low: 957/100000\n", + " Component | high: 69061/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=60.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000670238 [ 0.45 %]\n", - "Velocity : 0.00304352 [ 2.06 %]\n", - "Force : 0.0549735 [ 37.26 %]\n", - "Coefs : 0.0218337 [ 14.80 %]\n", - "Output : 0.000984249 [ 0.67 %]\n", - "Levels : 0.000202171 [ 0.14 %]\n", - "Report : 1.205e-06 [ 0.00 %]\n", - "Balance : 4.96e-07 [ 0.00 %]\n", - "Adjust : 0.0657903 [ 44.59 %]\n", - "Total : 0.14756 [100.00 %]\n", + "Drift : 0.000722459 [ 0.02 %]\n", + "Velocity : 0.0021009 [ 0.06 %]\n", + "Force : 0.665772 [ 17.97 %]\n", + "Coefs : 2.25435 [ 60.85 %]\n", + "Output : 0.00119398 [ 0.03 %]\n", + "Levels : 0.000321801 [ 0.01 %]\n", + "Report : 1.272e-06 [ 0.00 %]\n", + "Balance : 5.45e-07 [ 0.00 %]\n", + "Adjust : 0.780083 [ 21.06 %]\n", + "Total : 3.7046 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5867 739 291 108 137 \n", - "1 : 5905 718 303 113 103 \n", - "2 : 5826 810 285 96 125 \n", - "3 : 5858 745 313 102 124 \n", - "4 : 5828 719 341 118 136 \n", - "5 : 5908 697 314 114 109 \n", - "6 : 5870 765 276 118 113 \n", - "7 : 5850 747 330 113 102 \n", - "8 : 5897 740 308 103 94 \n", - "9 : 5838 760 307 110 127 \n", - "10 : 5822 798 309 88 125 \n", - "11 : 5821 748 343 108 122 \n", - "12 : 5859 725 322 107 129 \n", - "13 : 5836 788 290 113 127 \n", + "0 : 5838 716 347 118 123 \n", + "1 : 5842 747 325 102 126 \n", + "2 : 5817 754 343 102 126 \n", + "3 : 5867 718 325 121 111 \n", + "4 : 5840 728 337 117 120 \n", + "5 : 5930 694 322 99 97 \n", + "6 : 5858 741 312 116 115 \n", + "7 : 5866 718 333 111 114 \n", + "8 : 5872 719 341 101 109 \n", + "9 : 5828 748 311 113 142 \n", + "10 : 5873 689 330 122 128 \n", + "11 : 5820 766 338 103 115 \n", + "12 : 5872 731 328 121 90 \n", + "13 : 5860 726 342 108 118 \n", "\n", - "T : 81985 10499 4332 1511 1673 [100000]\n", + "T : 81983 10195 4634 1554 1634 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", - "--- Adj/Tot = 1.8%\n", - "--- Update = 1.0752e-02 sec\n", - "--- Collate = 7.0425e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 6.5541e-02 sec\n", + "--- Collate = 7.0002e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.099448e-06 < 6.250000e-03 [979]\n", - "--- Max DT=1.388259e+00 > 1.000000e-01 [66782]\n", + "--- Min DT=4.399729e-06 < 6.250000e-03 [930]\n", + "--- Max DT=1.041132e+00 > 1.000000e-01 [69074]\n", "----------------------------------------------------------------------\n", - " Component | low: 979/100000\n", - " Component | high: 66782/100000\n", + " Component | low: 930/100000\n", + " Component | high: 69074/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", - "--- Timer info [T=60.9] ----------------------------------------------\n", + "--- Timer info [T=60.9] ----------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "----------------------------------------------------------------------\n", - "Drift : 0.000696488 [ 0.47 %]\n", - "Velocity : 0.00256161 [ 1.72 %]\n", - "Force : 0.0558059 [ 37.48 %]\n", - "Coefs : 0.0222229 [ 14.92 %]\n", - "Output : 0.00105823 [ 0.71 %]\n", - "Levels : 0.000193143 [ 0.13 %]\n", - "Report : 1.284e-06 [ 0.00 %]\n", - "Balance : 5.72e-07 [ 0.00 %]\n", - "Adjust : 0.066313 [ 44.53 %]\n", - "Total : 0.148902 [100.00 %]\n", + "Drift : 0.00053072 [ 0.02 %]\n", + "Velocity : 0.0020797 [ 0.06 %]\n", + "Force : 0.537091 [ 15.27 %]\n", + "Coefs : 2.18817 [ 62.20 %]\n", + "Output : 0.00114141 [ 0.03 %]\n", + "Levels : 0.00353997 [ 0.10 %]\n", + "Report : 8.44e-07 [ 0.00 %]\n", + "Balance : 2.52e-07 [ 0.00 %]\n", + "Adjust : 0.785543 [ 22.33 %]\n", + "Total : 3.51815 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5868 740 280 126 128 \n", - "1 : 5897 724 305 109 107 \n", - "2 : 5823 801 293 96 129 \n", - "3 : 5845 755 312 108 122 \n", - "4 : 5828 718 336 124 136 \n", - "5 : 5907 698 311 118 108 \n", - "6 : 5869 768 269 121 115 \n", - "7 : 5851 751 318 120 102 \n", - "8 : 5893 737 313 107 92 \n", - "9 : 5825 772 302 117 126 \n", - "10 : 5827 793 307 90 125 \n", - "11 : 5818 744 351 112 117 \n", - "12 : 5851 726 329 104 132 \n", - "13 : 5836 781 293 114 130 \n", + "0 : 5843 708 347 120 124 \n", + "1 : 5844 744 332 98 124 \n", + "2 : 5820 751 339 109 123 \n", + "3 : 5862 725 322 120 113 \n", + "4 : 5836 732 340 119 115 \n", + "5 : 5926 701 318 95 102 \n", + "6 : 5858 741 311 120 112 \n", + "7 : 5858 731 326 114 113 \n", + "8 : 5876 716 336 111 103 \n", + "9 : 5824 756 308 114 140 \n", + "10 : 5870 692 333 124 123 \n", + "11 : 5822 766 333 110 111 \n", + "12 : 5870 735 331 117 89 \n", + "13 : 5857 734 333 112 118 \n", "\n", - "T : 81938 10508 4319 1566 1669 [100000]\n", + "T : 81966 10232 4609 1583 1610 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.3%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.0539e-02 sec\n", - "--- Collate = 6.5391e-05 sec\n", + "--- Coef/DT = 3.8%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 6.6265e-02 sec\n", + "--- Collate = 1.3061e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.005882e-07 < 6.250000e-03 [971]\n", - "--- Max DT=1.429601e+00 > 1.000000e-01 [66800]\n", + "--- Min DT=7.092185e-07 < 6.250000e-03 [960]\n", + "--- Max DT=1.047269e+00 > 1.000000e-01 [69084]\n", "----------------------------------------------------------------------\n", - " Component | low: 971/100000\n", - " Component | high: 66800/100000\n", + " Component | low: 960/100000\n", + " Component | high: 69084/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=61] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000581747 [ 0.39 %]\n", - "Velocity : 0.00187487 [ 1.25 %]\n", - "Force : 0.0547768 [ 36.41 %]\n", - "Coefs : 0.0227135 [ 15.10 %]\n", - "Output : 0.00505096 [ 3.36 %]\n", - "Levels : 0.000202416 [ 0.13 %]\n", - "Report : 1.017e-06 [ 0.00 %]\n", - "Balance : 5.08e-07 [ 0.00 %]\n", - "Adjust : 0.0652173 [ 43.34 %]\n", - "Total : 0.150464 [100.00 %]\n", + "Drift : 0.00074786 [ 0.02 %]\n", + "Velocity : 0.0065072 [ 0.17 %]\n", + "Force : 0.626698 [ 16.54 %]\n", + "Coefs : 2.37323 [ 62.65 %]\n", + "Output : 0.00587143 [ 0.15 %]\n", + "Levels : 0.000296131 [ 0.01 %]\n", + "Report : 1.012e-06 [ 0.00 %]\n", + "Balance : 4.3e-07 [ 0.00 %]\n", + "Adjust : 0.774749 [ 20.45 %]\n", + "Total : 3.78815 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5864 738 284 127 129 \n", - "1 : 5896 719 312 111 104 \n", - "2 : 5809 815 288 104 126 \n", - "3 : 5847 749 312 117 117 \n", - "4 : 5819 719 340 134 130 \n", - "5 : 5900 703 317 113 109 \n", - "6 : 5862 769 275 114 122 \n", - "7 : 5850 751 318 112 111 \n", - "8 : 5887 735 312 111 97 \n", - "9 : 5817 775 300 121 129 \n", - "10 : 5826 798 300 90 128 \n", - "11 : 5818 740 350 114 120 \n", - "12 : 5855 719 323 126 119 \n", - "13 : 5833 792 284 113 132 \n", + "0 : 5842 717 336 126 121 \n", + "1 : 5844 745 329 107 117 \n", + "2 : 5822 749 344 102 125 \n", + "3 : 5864 725 322 111 120 \n", + "4 : 5834 735 340 117 116 \n", + "5 : 5934 691 324 95 98 \n", + "6 : 5854 747 309 122 110 \n", + "7 : 5859 734 317 123 109 \n", + "8 : 5884 709 338 107 104 \n", + "9 : 5825 755 303 129 130 \n", + "10 : 5871 689 337 124 121 \n", + "11 : 5822 766 330 110 114 \n", + "12 : 5872 743 321 115 91 \n", + "13 : 5857 741 324 122 110 \n", "\n", - "T : 81883 10522 4315 1607 1673 [100000]\n", + "T : 81984 10246 4574 1610 1586 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.0547e-02 sec\n", - "--- Collate = 6.5615e-05 sec\n", + "--- Coef/DT = 36.3%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 8.4628e-02 sec\n", + "--- Collate = 9.0350e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.129899e-06 < 6.250000e-03 [979]\n", - "--- Max DT=1.445998e+00 > 1.000000e-01 [66782]\n", + "--- Min DT=9.588858e-08 < 6.250000e-03 [940]\n", + "--- Max DT=1.053412e+00 > 1.000000e-01 [69080]\n", "----------------------------------------------------------------------\n", - " Component | low: 979/100000\n", - " Component | high: 66782/100000\n", + " Component | low: 940/100000\n", + " Component | high: 69080/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=61.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000544319 [ 0.37 %]\n", - "Velocity : 0.00190528 [ 1.31 %]\n", - "Force : 0.0542619 [ 37.31 %]\n", - "Coefs : 0.0228926 [ 15.74 %]\n", - "Output : 0.000590562 [ 0.41 %]\n", - "Levels : 0.000198765 [ 0.14 %]\n", - "Report : 1.03e-06 [ 0.00 %]\n", - "Balance : 3.45e-07 [ 0.00 %]\n", - "Adjust : 0.0649908 [ 44.69 %]\n", - "Total : 0.145425 [100.00 %]\n", + "Drift : 0.000556722 [ 0.01 %]\n", + "Velocity : 0.00197699 [ 0.05 %]\n", + "Force : 0.705179 [ 17.33 %]\n", + "Coefs : 2.47863 [ 60.90 %]\n", + "Output : 0.00131865 [ 0.03 %]\n", + "Levels : 0.000280226 [ 0.01 %]\n", + "Report : 9.82e-07 [ 0.00 %]\n", + "Balance : 5.01e-07 [ 0.00 %]\n", + "Adjust : 0.882199 [ 21.67 %]\n", + "Total : 4.07019 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5855 740 293 121 133 \n", - "1 : 5894 722 308 114 104 \n", - "2 : 5811 809 291 107 124 \n", - "3 : 5842 750 309 123 118 \n", - "4 : 5817 722 342 133 128 \n", - "5 : 5894 702 321 117 108 \n", - "6 : 5860 771 269 123 119 \n", - "7 : 5838 760 316 116 112 \n", - "8 : 5886 730 312 114 100 \n", - "9 : 5806 786 298 115 137 \n", - "10 : 5821 796 312 90 123 \n", - "11 : 5812 748 347 110 125 \n", - "12 : 5855 713 328 127 119 \n", - "13 : 5823 796 298 109 128 \n", + "0 : 5838 719 341 129 115 \n", + "1 : 5846 741 333 104 118 \n", + "2 : 5826 747 343 107 119 \n", + "3 : 5858 734 321 102 127 \n", + "4 : 5833 738 338 126 107 \n", + "5 : 5938 693 312 105 94 \n", + "6 : 5868 736 310 116 112 \n", + "7 : 5861 740 310 119 112 \n", + "8 : 5890 711 330 98 113 \n", + "9 : 5824 755 301 132 130 \n", + "10 : 5865 696 337 122 122 \n", + "11 : 5819 765 336 108 114 \n", + "12 : 5866 745 327 108 96 \n", + "13 : 5853 745 316 126 114 \n", "\n", - "T : 81814 10545 4344 1619 1678 [100000]\n", + "T : 81985 10265 4555 1602 1593 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.3%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.0668e-02 sec\n", - "--- Collate = 7.0361e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 6.3537e-02 sec\n", + "--- Collate = 2.0752e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.728985e-06 < 6.250000e-03 [1009]\n", - "--- Max DT=1.437561e+00 > 1.000000e-01 [66752]\n", + "--- Min DT=1.268487e-05 < 6.250000e-03 [933]\n", + "--- Max DT=1.059559e+00 > 1.000000e-01 [69085]\n", "----------------------------------------------------------------------\n", - " Component | low: 1009/100000\n", - " Component | high: 66752/100000\n", + " Component | low: 933/100000\n", + " Component | high: 69085/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=61.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000627899 [ 0.44 %]\n", - "Velocity : 0.00202367 [ 1.40 %]\n", - "Force : 0.0543481 [ 37.67 %]\n", - "Coefs : 0.0225472 [ 15.63 %]\n", - "Output : 0.000868162 [ 0.60 %]\n", - "Levels : 0.000239685 [ 0.17 %]\n", - "Report : 1.175e-06 [ 0.00 %]\n", - "Balance : 3.76e-07 [ 0.00 %]\n", - "Adjust : 0.0635958 [ 44.07 %]\n", - "Total : 0.144291 [100.00 %]\n", + "Drift : 0.000447778 [ 0.01 %]\n", + "Velocity : 0.00201129 [ 0.06 %]\n", + "Force : 0.603072 [ 17.11 %]\n", + "Coefs : 2.17972 [ 61.84 %]\n", + "Output : 0.00116639 [ 0.03 %]\n", + "Levels : 0.000250765 [ 0.01 %]\n", + "Report : 1.069e-06 [ 0.00 %]\n", + "Balance : 4.3e-07 [ 0.00 %]\n", + "Adjust : 0.737859 [ 20.93 %]\n", + "Total : 3.52458 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5861 733 292 122 134 \n", - "1 : 5887 731 314 104 106 \n", - "2 : 5806 812 292 108 124 \n", - "3 : 5838 749 320 118 117 \n", - "4 : 5806 736 337 133 130 \n", - "5 : 5892 704 315 123 108 \n", - "6 : 5851 778 272 127 114 \n", - "7 : 5829 766 321 113 113 \n", - "8 : 5882 724 324 111 101 \n", - "9 : 5807 780 299 122 134 \n", - "10 : 5819 790 315 97 121 \n", - "11 : 5809 758 333 120 122 \n", - "12 : 5844 728 321 127 122 \n", - "13 : 5816 797 311 106 124 \n", + "0 : 5844 712 345 123 118 \n", + "1 : 5851 735 333 104 119 \n", + "2 : 5825 754 326 111 126 \n", + "3 : 5864 729 324 103 122 \n", + "4 : 5831 737 343 117 114 \n", + "5 : 5935 699 309 102 97 \n", + "6 : 5864 749 312 104 113 \n", + "7 : 5855 749 305 124 109 \n", + "8 : 5889 711 327 109 106 \n", + "9 : 5821 762 301 131 127 \n", + "10 : 5864 706 323 129 120 \n", + "11 : 5820 773 330 111 108 \n", + "12 : 5866 744 330 106 96 \n", + "13 : 5855 739 320 132 108 \n", "\n", - "T : 81747 10586 4366 1631 1670 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81984 10299 4528 1606 1583 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.4%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.0709e-02 sec\n", - "--- Collate = 8.0499e-05 sec\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 5.9653e-02 sec\n", + "--- Collate = 6.0186e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.725324e-06 < 6.250000e-03 [1005]\n", - "--- Max DT=1.381799e+00 > 1.000000e-01 [66754]\n", + "--- Min DT=4.801641e-07 < 6.250000e-03 [912]\n", + "--- Max DT=1.065712e+00 > 1.000000e-01 [69074]\n", "----------------------------------------------------------------------\n", - " Component | low: 1005/100000\n", - " Component | high: 66754/100000\n", + " Component | low: 912/100000\n", + " Component | high: 69074/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=61.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000779634 [ 0.53 %]\n", - "Velocity : 0.00220957 [ 1.49 %]\n", - "Force : 0.0553351 [ 37.29 %]\n", - "Coefs : 0.02271 [ 15.31 %]\n", - "Output : 0.000819079 [ 0.55 %]\n", - "Levels : 0.000194893 [ 0.13 %]\n", - "Report : 1.076e-06 [ 0.00 %]\n", - "Balance : 3.83e-07 [ 0.00 %]\n", - "Adjust : 0.066284 [ 44.67 %]\n", - "Total : 0.148378 [100.00 %]\n", + "Drift : 0.000487526 [ 0.01 %]\n", + "Velocity : 0.00177054 [ 0.05 %]\n", + "Force : 0.546783 [ 16.00 %]\n", + "Coefs : 2.16413 [ 63.35 %]\n", + "Output : 0.00121605 [ 0.04 %]\n", + "Levels : 0.000227751 [ 0.01 %]\n", + "Report : 7.72e-07 [ 0.00 %]\n", + "Balance : 2.7e-07 [ 0.00 %]\n", + "Adjust : 0.701742 [ 20.54 %]\n", + "Total : 3.41641 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5857 732 302 117 134 \n", - "1 : 5890 727 315 110 100 \n", - "2 : 5801 809 298 101 133 \n", - "3 : 5842 742 325 117 116 \n", - "4 : 5798 741 341 132 130 \n", - "5 : 5890 699 319 121 113 \n", - "6 : 5848 779 274 129 112 \n", - "7 : 5820 779 324 98 121 \n", - "8 : 5876 726 316 110 114 \n", - "9 : 5805 775 301 127 134 \n", - "10 : 5814 799 304 107 118 \n", - "11 : 5794 769 333 122 124 \n", - "12 : 5832 740 322 119 129 \n", - "13 : 5824 787 307 114 122 \n", + "0 : 5850 707 348 121 116 \n", + "1 : 5854 731 329 116 112 \n", + "2 : 5823 750 331 123 115 \n", + "3 : 5858 738 324 99 123 \n", + "4 : 5837 728 339 117 121 \n", + "5 : 5935 699 307 103 98 \n", + "6 : 5863 748 311 100 120 \n", + "7 : 5855 742 305 130 110 \n", + "8 : 5890 714 323 100 115 \n", + "9 : 5821 766 292 128 135 \n", + "10 : 5857 719 324 124 118 \n", + "11 : 5810 778 334 103 117 \n", + "12 : 5862 744 333 111 92 \n", + "13 : 5854 736 330 127 107 \n", "\n", - "T : 81691 10604 4381 1624 1700 [100000]\n", + "T : 81969 10300 4530 1602 1599 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 1.8%\n", - "--- Update = 1.1134e-02 sec\n", - "--- Collate = 6.6477e-05 sec\n", + "--- Coef/DT = 3.3%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 4.1579e-02 sec\n", + "--- Collate = 8.0214e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.615036e-06 < 6.250000e-03 [1015]\n", - "--- Max DT=1.319288e+00 > 1.000000e-01 [66749]\n", + "--- Min DT=5.944330e-06 < 6.250000e-03 [915]\n", + "--- Max DT=1.071869e+00 > 1.000000e-01 [69069]\n", "----------------------------------------------------------------------\n", - " Component | low: 1015/100000\n", - " Component | high: 66749/100000\n", + " Component | low: 915/100000\n", + " Component | high: 69069/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=61.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000645451 [ 0.43 %]\n", - "Velocity : 0.00221764 [ 1.49 %]\n", - "Force : 0.0551795 [ 37.01 %]\n", - "Coefs : 0.0234316 [ 15.71 %]\n", - "Output : 0.000695546 [ 0.47 %]\n", - "Levels : 0.000240858 [ 0.16 %]\n", - "Report : 1.098e-06 [ 0.00 %]\n", - "Balance : 3.74e-07 [ 0.00 %]\n", - "Adjust : 0.066644 [ 44.70 %]\n", - "Total : 0.149104 [100.00 %]\n", + "Drift : 0.000484422 [ 0.01 %]\n", + "Velocity : 0.00193477 [ 0.06 %]\n", + "Force : 0.55619 [ 15.89 %]\n", + "Coefs : 2.26368 [ 64.66 %]\n", + "Output : 0.000873714 [ 0.02 %]\n", + "Levels : 0.00835434 [ 0.24 %]\n", + "Report : 9.04e-07 [ 0.00 %]\n", + "Balance : 2.41e-07 [ 0.00 %]\n", + "Adjust : 0.669156 [ 19.11 %]\n", + "Total : 3.50072 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5849 742 298 114 139 \n", - "1 : 5878 736 305 123 100 \n", - "2 : 5794 819 291 109 129 \n", - "3 : 5839 743 319 129 112 \n", - "4 : 5798 742 343 121 138 \n", - "5 : 5894 700 315 110 123 \n", - "6 : 5839 790 271 116 126 \n", - "7 : 5815 781 324 98 124 \n", - "8 : 5875 724 326 99 118 \n", - "9 : 5803 783 297 120 139 \n", - "10 : 5807 809 303 104 119 \n", - "11 : 5790 778 326 117 131 \n", - "12 : 5835 737 331 118 121 \n", - "13 : 5818 790 304 122 120 \n", + "0 : 5849 709 345 118 121 \n", + "1 : 5851 737 324 119 111 \n", + "2 : 5817 752 330 133 110 \n", + "3 : 5856 737 329 94 126 \n", + "4 : 5836 730 342 104 130 \n", + "5 : 5933 693 317 100 99 \n", + "6 : 5862 745 315 110 110 \n", + "7 : 5853 751 303 124 111 \n", + "8 : 5886 716 319 104 117 \n", + "9 : 5832 764 281 127 138 \n", + "10 : 5851 725 323 122 121 \n", + "11 : 5805 786 325 107 119 \n", + "12 : 5865 735 335 116 91 \n", + "13 : 5849 736 336 136 97 \n", "\n", - "T : 81634 10674 4353 1600 1739 [100000]\n", + "T : 81945 10316 4524 1614 1601 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", - "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.3%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.0297e-02 sec\n", - "--- Collate = 6.8333e-05 sec\n", + "--- Coefficient adjust stats\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.7394e-02 sec\n", + "--- Collate = 1.1022e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.914448e-06 < 6.250000e-03 [1049]\n", - "--- Max DT=1.270450e+00 > 1.000000e-01 [66749]\n", + "--- Min DT=4.400537e-07 < 6.250000e-03 [933]\n", + "--- Max DT=1.078031e+00 > 1.000000e-01 [69065]\n", "----------------------------------------------------------------------\n", - " Component | low: 1049/100000\n", - " Component | high: 66749/100000\n", + " Component | low: 933/100000\n", + " Component | high: 69065/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=61.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000674377 [ 0.45 %]\n", - "Velocity : 0.00227585 [ 1.53 %]\n", - "Force : 0.0553246 [ 37.10 %]\n", - "Coefs : 0.023079 [ 15.48 %]\n", - "Output : 0.000920953 [ 0.62 %]\n", - "Levels : 0.000210769 [ 0.14 %]\n", - "Report : 1.034e-06 [ 0.00 %]\n", - "Balance : 3.66e-07 [ 0.00 %]\n", - "Adjust : 0.0665792 [ 44.65 %]\n", - "Total : 0.149118 [100.00 %]\n", + "Drift : 0.000514953 [ 0.02 %]\n", + "Velocity : 0.00185481 [ 0.06 %]\n", + "Force : 0.523345 [ 15.97 %]\n", + "Coefs : 2.1062 [ 64.26 %]\n", + "Output : 0.000825097 [ 0.03 %]\n", + "Levels : 0.00024481 [ 0.01 %]\n", + "Report : 1.202e-06 [ 0.00 %]\n", + "Balance : 3.97e-07 [ 0.00 %]\n", + "Adjust : 0.644422 [ 19.66 %]\n", + "Total : 3.27745 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5846 735 308 116 137 \n", - "1 : 5881 742 293 119 107 \n", - "2 : 5793 805 308 106 130 \n", - "3 : 5837 748 320 119 118 \n", - "4 : 5794 747 339 124 138 \n", - "5 : 5899 692 316 113 122 \n", - "6 : 5845 775 280 118 124 \n", - "7 : 5821 768 323 105 125 \n", - "8 : 5862 739 322 96 123 \n", - "9 : 5800 781 301 122 138 \n", - "10 : 5801 813 303 101 124 \n", - "11 : 5791 771 324 126 130 \n", - "12 : 5828 741 336 115 122 \n", - "13 : 5811 798 304 121 120 \n", + "0 : 5847 711 341 120 123 \n", + "1 : 5847 740 329 116 110 \n", + "2 : 5816 753 335 131 107 \n", + "3 : 5855 734 326 107 120 \n", + "4 : 5832 736 339 104 131 \n", + "5 : 5933 688 320 101 100 \n", + "6 : 5860 746 317 113 106 \n", + "7 : 5852 741 307 138 104 \n", + "8 : 5889 703 323 108 119 \n", + "9 : 5831 768 278 130 135 \n", + "10 : 5855 725 322 103 137 \n", + "11 : 5806 784 325 121 106 \n", + "12 : 5865 743 327 112 95 \n", + "13 : 5850 738 331 140 95 \n", "\n", - "T : 81609 10655 4377 1601 1758 [100000]\n", + "T : 81938 10310 4520 1644 1588 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.4%\n", - "--- Adj/Tot = 1.8%\n", - "--- Update = 1.0173e-02 sec\n", - "--- Collate = 6.9358e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.5659e-02 sec\n", + "--- Collate = 5.0114e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.538078e-07 < 6.250000e-03 [1094]\n", - "--- Max DT=1.203465e+00 > 1.000000e-01 [66756]\n", + "--- Min DT=5.502707e-06 < 6.250000e-03 [920]\n", + "--- Max DT=1.084198e+00 > 1.000000e-01 [69045]\n", "----------------------------------------------------------------------\n", - " Component | low: 1094/100000\n", - " Component | high: 66756/100000\n", + " Component | low: 920/100000\n", + " Component | high: 69045/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=61.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000587962 [ 0.41 %]\n", - "Velocity : 0.0018589 [ 1.28 %]\n", - "Force : 0.0549416 [ 37.85 %]\n", - "Coefs : 0.0237689 [ 16.37 %]\n", - "Output : 0.000587477 [ 0.40 %]\n", - "Levels : 0.000231288 [ 0.16 %]\n", - "Report : 1.329e-06 [ 0.00 %]\n", - "Balance : 3.75e-07 [ 0.00 %]\n", - "Adjust : 0.0631427 [ 43.50 %]\n", - "Total : 0.145161 [100.00 %]\n", + "Drift : 0.000547717 [ 0.02 %]\n", + "Velocity : 0.0016012 [ 0.05 %]\n", + "Force : 0.524177 [ 16.70 %]\n", + "Coefs : 1.9578 [ 62.38 %]\n", + "Output : 0.000723314 [ 0.02 %]\n", + "Levels : 0.000240813 [ 0.01 %]\n", + "Report : 1.097e-06 [ 0.00 %]\n", + "Balance : 5.11e-07 [ 0.00 %]\n", + "Adjust : 0.653401 [ 20.82 %]\n", + "Total : 3.13854 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5849 729 311 117 136 \n", - "1 : 5875 743 295 123 106 \n", - "2 : 5786 811 310 104 131 \n", - "3 : 5837 749 324 115 117 \n", - "4 : 5798 731 340 147 126 \n", - "5 : 5902 681 316 120 123 \n", - "6 : 5836 768 295 118 125 \n", - "7 : 5825 768 314 107 128 \n", - "8 : 5861 745 307 98 131 \n", - "9 : 5793 794 298 130 127 \n", - "10 : 5804 807 305 104 122 \n", - "11 : 5785 779 332 113 133 \n", - "12 : 5817 748 340 117 120 \n", - "13 : 5811 797 307 121 118 \n", + "0 : 5845 716 340 120 121 \n", + "1 : 5854 726 334 117 111 \n", + "2 : 5816 752 334 126 114 \n", + "3 : 5856 735 322 118 111 \n", + "4 : 5833 731 343 113 122 \n", + "5 : 5933 690 320 98 101 \n", + "6 : 5871 742 314 109 106 \n", + "7 : 5854 740 309 130 109 \n", + "8 : 5889 701 317 119 116 \n", + "9 : 5829 772 282 125 134 \n", + "10 : 5854 725 327 102 134 \n", + "11 : 5802 788 325 113 114 \n", + "12 : 5862 747 329 109 95 \n", + "13 : 5847 741 338 122 106 \n", "\n", - "T : 81579 10650 4394 1634 1743 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81945 10306 4534 1621 1594 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.0441e-02 sec\n", - "--- Collate = 6.6952e-05 sec\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 3.3612e-02 sec\n", + "--- Collate = 5.0022e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.575372e-06 < 6.250000e-03 [1091]\n", - "--- Max DT=1.116567e+00 > 1.000000e-01 [66761]\n", + "--- Min DT=4.740243e-06 < 6.250000e-03 [930]\n", + "--- Max DT=1.090369e+00 > 1.000000e-01 [69033]\n", "----------------------------------------------------------------------\n", - " Component | low: 1091/100000\n", - " Component | high: 66761/100000\n", + " Component | low: 930/100000\n", + " Component | high: 69033/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=61.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00062497 [ 0.43 %]\n", - "Velocity : 0.0019211 [ 1.32 %]\n", - "Force : 0.0541072 [ 37.05 %]\n", - "Coefs : 0.0227 [ 15.54 %]\n", - "Output : 0.000709982 [ 0.49 %]\n", - "Levels : 0.000171798 [ 0.12 %]\n", - "Report : 1.115e-06 [ 0.00 %]\n", - "Balance : 2.78e-07 [ 0.00 %]\n", - "Adjust : 0.0657568 [ 45.03 %]\n", - "Total : 0.146033 [100.00 %]\n", + "Drift : 0.000515849 [ 0.02 %]\n", + "Velocity : 0.00160672 [ 0.05 %]\n", + "Force : 0.518405 [ 15.28 %]\n", + "Coefs : 2.15965 [ 63.66 %]\n", + "Output : 0.000798035 [ 0.02 %]\n", + "Levels : 0.000168844 [ 0.00 %]\n", + "Report : 4.49e-07 [ 0.00 %]\n", + "Balance : 2.8e-07 [ 0.00 %]\n", + "Adjust : 0.711166 [ 20.96 %]\n", + "Total : 3.39235 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5841 733 308 128 132 \n", - "1 : 5875 736 311 109 111 \n", - "2 : 5776 814 318 107 127 \n", - "3 : 5834 755 316 116 121 \n", - "4 : 5794 731 341 149 127 \n", - "5 : 5895 690 312 113 132 \n", - "6 : 5830 772 296 116 128 \n", - "7 : 5821 776 308 114 123 \n", - "8 : 5867 737 307 95 136 \n", - "9 : 5794 791 301 126 130 \n", - "10 : 5792 816 302 115 117 \n", - "11 : 5781 782 330 117 132 \n", - "12 : 5814 748 338 124 118 \n", - "13 : 5807 804 313 112 118 \n", + "0 : 5847 723 324 132 116 \n", + "1 : 5857 721 335 119 110 \n", + "2 : 5822 742 340 124 114 \n", + "3 : 5854 734 325 120 109 \n", + "4 : 5829 737 337 120 119 \n", + "5 : 5933 684 325 100 100 \n", + "6 : 5871 741 314 105 111 \n", + "7 : 5855 736 313 125 113 \n", + "8 : 5885 697 324 122 114 \n", + "9 : 5831 767 295 110 139 \n", + "10 : 5853 727 325 113 124 \n", + "11 : 5802 786 321 126 107 \n", + "12 : 5860 748 330 109 95 \n", + "13 : 5845 741 345 113 110 \n", "\n", - "T : 81521 10685 4401 1641 1752 [100000]\n", + "T : 81944 10284 4553 1638 1581 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.0424e-02 sec\n", - "--- Collate = 6.4420e-05 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 4.8803e-02 sec\n", + "--- Collate = 1.5609e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.554871e-08 < 6.250000e-03 [1089]\n", - "--- Max DT=1.028077e+00 > 1.000000e-01 [66745]\n", + "--- Min DT=1.715668e-06 < 6.250000e-03 [937]\n", + "--- Max DT=1.096546e+00 > 1.000000e-01 [69029]\n", "----------------------------------------------------------------------\n", - " Component | low: 1089/100000\n", - " Component | high: 66745/100000\n", + " Component | low: 937/100000\n", + " Component | high: 69029/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=61.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000575069 [ 0.39 %]\n", - "Velocity : 0.00186146 [ 1.27 %]\n", - "Force : 0.0547157 [ 37.35 %]\n", - "Coefs : 0.0226318 [ 15.45 %]\n", - "Output : 0.000718013 [ 0.49 %]\n", - "Levels : 0.000171118 [ 0.12 %]\n", - "Report : 1.08e-06 [ 0.00 %]\n", - "Balance : 3.58e-07 [ 0.00 %]\n", - "Adjust : 0.0657743 [ 44.90 %]\n", - "Total : 0.146486 [100.00 %]\n", + "Drift : 0.000300807 [ 0.01 %]\n", + "Velocity : 0.00111696 [ 0.04 %]\n", + "Force : 0.465595 [ 15.68 %]\n", + "Coefs : 1.89628 [ 63.85 %]\n", + "Output : 0.000775344 [ 0.03 %]\n", + "Levels : 0.000166617 [ 0.01 %]\n", + "Report : 3.25e-07 [ 0.00 %]\n", + "Balance : 2.13e-07 [ 0.00 %]\n", + "Adjust : 0.605534 [ 20.39 %]\n", + "Total : 2.96979 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5838 737 307 121 139 \n", - "1 : 5869 744 301 119 109 \n", - "2 : 5784 804 318 105 131 \n", - "3 : 5817 767 322 109 127 \n", - "4 : 5795 734 326 150 137 \n", - "5 : 5884 696 309 123 130 \n", - "6 : 5821 780 297 119 125 \n", - "7 : 5819 777 303 116 127 \n", - "8 : 5863 732 311 102 134 \n", - "9 : 5790 791 298 135 128 \n", - "10 : 5804 807 298 119 114 \n", - "11 : 5782 779 340 105 136 \n", - "12 : 5810 754 347 100 131 \n", - "13 : 5804 805 311 114 120 \n", + "0 : 5845 719 321 134 123 \n", + "1 : 5856 723 338 121 104 \n", + "2 : 5821 745 338 121 117 \n", + "3 : 5853 736 326 114 113 \n", + "4 : 5829 735 336 124 118 \n", + "5 : 5930 685 322 106 99 \n", + "6 : 5874 734 320 102 112 \n", + "7 : 5852 741 303 136 110 \n", + "8 : 5879 709 323 108 123 \n", + "9 : 5831 764 298 108 141 \n", + "10 : 5847 740 318 109 128 \n", + "11 : 5804 788 317 117 116 \n", + "12 : 5864 742 338 96 102 \n", + "13 : 5844 748 339 117 106 \n", "\n", - "T : 81480 10707 4388 1637 1788 [100000]\n", + "T : 81929 10309 4537 1613 1612 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.4%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.0367e-02 sec\n", - "--- Collate = 7.0106e-05 sec\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 3.8669e-02 sec\n", + "--- Collate = 1.0020e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.037812e-06 < 6.250000e-03 [1078]\n", - "--- Max DT=9.394002e-01 > 1.000000e-01 [66753]\n", + "--- Min DT=2.415682e-07 < 6.250000e-03 [939]\n", + "--- Max DT=1.102727e+00 > 1.000000e-01 [69017]\n", "----------------------------------------------------------------------\n", - " Component | low: 1078/100000\n", - " Component | high: 66753/100000\n", + " Component | low: 939/100000\n", + " Component | high: 69017/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=61.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000546965 [ 0.38 %]\n", - "Velocity : 0.00185252 [ 1.30 %]\n", - "Force : 0.0536786 [ 37.68 %]\n", - "Coefs : 0.0228212 [ 16.02 %]\n", - "Output : 0.000582952 [ 0.41 %]\n", - "Levels : 0.000163677 [ 0.11 %]\n", - "Report : 1.006e-06 [ 0.00 %]\n", - "Balance : 5.55e-07 [ 0.00 %]\n", - "Adjust : 0.0627646 [ 44.06 %]\n", - "Total : 0.142448 [100.00 %]\n", + "Drift : 0.000241609 [ 0.01 %]\n", + "Velocity : 0.0011259 [ 0.04 %]\n", + "Force : 0.476948 [ 16.53 %]\n", + "Coefs : 1.84792 [ 64.06 %]\n", + "Output : 0.000829301 [ 0.03 %]\n", + "Levels : 0.000155758 [ 0.01 %]\n", + "Report : 7.86e-07 [ 0.00 %]\n", + "Balance : 1.95e-07 [ 0.00 %]\n", + "Adjust : 0.557626 [ 19.33 %]\n", + "Total : 2.88487 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5845 723 315 117 142 \n", - "1 : 5870 735 308 118 111 \n", - "2 : 5787 793 329 98 135 \n", - "3 : 5811 765 325 109 132 \n", - "4 : 5784 745 339 139 135 \n", - "5 : 5889 687 315 115 136 \n", - "6 : 5818 780 297 120 127 \n", - "7 : 5804 788 298 124 128 \n", - "8 : 5859 730 312 112 129 \n", - "9 : 5798 776 308 135 125 \n", - "10 : 5797 806 305 120 114 \n", - "11 : 5774 781 338 116 133 \n", - "12 : 5811 741 350 116 124 \n", - "13 : 5800 807 326 104 117 \n", + "0 : 5842 717 325 136 122 \n", + "1 : 5852 727 337 120 106 \n", + "2 : 5825 737 348 109 123 \n", + "3 : 5853 737 325 118 109 \n", + "4 : 5828 742 324 126 122 \n", + "5 : 5926 690 317 114 95 \n", + "6 : 5869 736 326 104 107 \n", + "7 : 5850 737 306 137 112 \n", + "8 : 5876 711 316 113 126 \n", + "9 : 5829 760 309 112 132 \n", + "10 : 5848 736 320 112 126 \n", + "11 : 5809 784 321 123 105 \n", + "12 : 5862 742 344 92 102 \n", + "13 : 5842 749 334 119 110 \n", "\n", - "T : 81447 10657 4465 1643 1788 [100000]\n", + "T : 81911 10305 4552 1635 1597 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.6%\n", - "--- Adj/Tot = 1.8%\n", - "--- Update = 1.0958e-02 sec\n", - "--- Collate = 8.3209e-05 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 3.6665e-02 sec\n", + "--- Collate = 1.0009e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.081046e-07 < 6.250000e-03 [1092]\n", - "--- Max DT=8.545200e-01 > 1.000000e-01 [66764]\n", - "----------------------------------------------------------------------\n", - " Component | low: 1092/100000\n", - " Component | high: 66764/100000\n", + "--- Min DT=2.685851e-07 < 6.250000e-03 [931]\n", + "--- Max DT=1.108912e+00 > 1.000000e-01 [69000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Component | low: 931/100000\n", + " Component | high: 69000/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=62] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000599736 [ 0.35 %]\n", - "Velocity : 0.00288761 [ 1.67 %]\n", - "Force : 0.0573276 [ 33.11 %]\n", - "Coefs : 0.0222685 [ 12.86 %]\n", - "Output : 0.0175675 [ 10.14 %]\n", - "Levels : 0.000281648 [ 0.16 %]\n", - "Report : 2.045e-06 [ 0.00 %]\n", - "Balance : 1.158e-06 [ 0.00 %]\n", - "Adjust : 0.0721766 [ 41.68 %]\n", - "Total : 0.173165 [100.00 %]\n", + "Drift : 0.00026112 [ 0.01 %]\n", + "Velocity : 0.00119632 [ 0.04 %]\n", + "Force : 0.520619 [ 15.84 %]\n", + "Coefs : 2.0848 [ 63.45 %]\n", + "Output : 0.00292815 [ 0.09 %]\n", + "Levels : 0.000158895 [ 0.00 %]\n", + "Report : 3.87e-07 [ 0.00 %]\n", + "Balance : 2.06e-07 [ 0.00 %]\n", + "Adjust : 0.675736 [ 20.57 %]\n", + "Total : 3.28572 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5835 729 322 116 140 \n", - "1 : 5873 727 313 119 110 \n", - "2 : 5785 791 334 95 137 \n", - "3 : 5804 772 321 111 134 \n", - "4 : 5779 753 342 127 141 \n", - "5 : 5880 699 311 121 131 \n", - "6 : 5815 777 306 110 134 \n", - "7 : 5812 770 302 126 132 \n", - "8 : 5856 727 320 106 133 \n", - "9 : 5796 766 318 134 128 \n", - "10 : 5805 796 303 126 112 \n", - "11 : 5783 767 338 124 130 \n", - "12 : 5802 757 336 119 128 \n", - "13 : 5799 805 320 108 122 \n", + "0 : 5849 705 334 135 119 \n", + "1 : 5850 725 344 117 106 \n", + "2 : 5824 743 347 113 115 \n", + "3 : 5856 727 339 111 109 \n", + "4 : 5827 743 325 122 125 \n", + "5 : 5930 682 320 123 87 \n", + "6 : 5868 739 326 102 107 \n", + "7 : 5855 710 331 131 115 \n", + "8 : 5876 704 319 115 128 \n", + "9 : 5834 752 310 112 134 \n", + "10 : 5847 730 326 122 117 \n", + "11 : 5808 786 319 118 111 \n", + "12 : 5864 740 337 97 104 \n", + "13 : 5838 752 334 106 124 \n", "\n", - "T : 81424 10636 4486 1642 1812 [100000]\n", + "T : 81926 10238 4611 1624 1601 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 2.9%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 1.1184e-02 sec\n", - "--- Collate = 1.5498e-04 sec\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.2808e-02 sec\n", + "--- Collate = 1.1016e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.110337e-07 < 6.250000e-03 [1089]\n", - "--- Max DT=8.398327e-01 > 1.000000e-01 [66801]\n", + "--- Min DT=8.234614e-06 < 6.250000e-03 [923]\n", + "--- Max DT=1.115103e+00 > 1.000000e-01 [69015]\n", "----------------------------------------------------------------------\n", - " Component | low: 1089/100000\n", - " Component | high: 66801/100000\n", + " Component | low: 923/100000\n", + " Component | high: 69015/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=62.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000726357 [ 0.47 %]\n", - "Velocity : 0.00276896 [ 1.79 %]\n", - "Force : 0.0577687 [ 37.29 %]\n", - "Coefs : 0.025997 [ 16.78 %]\n", - "Output : 0.000868991 [ 0.56 %]\n", - "Levels : 0.000228614 [ 0.15 %]\n", - "Report : 1.395e-06 [ 0.00 %]\n", - "Balance : 5.55e-07 [ 0.00 %]\n", - "Adjust : 0.066482 [ 42.92 %]\n", - "Total : 0.154899 [100.00 %]\n", + "Drift : 0.000264005 [ 0.01 %]\n", + "Velocity : 0.00101475 [ 0.03 %]\n", + "Force : 0.520966 [ 16.72 %]\n", + "Coefs : 1.93603 [ 62.13 %]\n", + "Output : 0.000718347 [ 0.02 %]\n", + "Levels : 0.000153064 [ 0.00 %]\n", + "Report : 6.36e-07 [ 0.00 %]\n", + "Balance : 2.69e-07 [ 0.00 %]\n", + "Adjust : 0.656721 [ 21.08 %]\n", + "Total : 3.1159 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5840 721 321 121 139 \n", - "1 : 5862 733 322 105 120 \n", - "2 : 5781 790 335 95 141 \n", - "3 : 5809 764 323 108 138 \n", - "4 : 5765 765 335 136 141 \n", - "5 : 5883 686 322 115 136 \n", - "6 : 5823 757 320 111 131 \n", - "7 : 5806 776 294 129 137 \n", - "8 : 5862 713 321 113 133 \n", - "9 : 5797 766 319 127 133 \n", - "10 : 5797 801 304 124 116 \n", - "11 : 5782 761 337 128 134 \n", - "12 : 5795 759 332 123 133 \n", - "13 : 5803 792 332 110 117 \n", + "0 : 5853 698 338 126 127 \n", + "1 : 5851 720 348 112 111 \n", + "2 : 5831 732 352 113 114 \n", + "3 : 5854 723 341 110 114 \n", + "4 : 5826 740 337 119 120 \n", + "5 : 5937 674 316 119 96 \n", + "6 : 5860 738 339 103 102 \n", + "7 : 5853 705 341 121 122 \n", + "8 : 5881 695 323 119 124 \n", + "9 : 5836 748 319 109 130 \n", + "10 : 5850 717 343 123 109 \n", + "11 : 5811 786 314 124 107 \n", + "12 : 5864 740 336 100 102 \n", + "13 : 5839 759 327 103 126 \n", "\n", - "T : 81405 10584 4517 1645 1849 [100000]\n", + "T : 81946 10175 4674 1601 1604 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.0843e-02 sec\n", - "--- Collate = 8.1525e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 3.7698e-02 sec\n", + "--- Collate = 7.0127e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.504381e-06 < 6.250000e-03 [1097]\n", - "--- Max DT=8.457410e-01 > 1.000000e-01 [66800]\n", + "--- Min DT=2.370838e-06 < 6.250000e-03 [953]\n", + "--- Max DT=1.121298e+00 > 1.000000e-01 [69010]\n", "----------------------------------------------------------------------\n", - " Component | low: 1097/100000\n", - " Component | high: 66800/100000\n", + " Component | low: 953/100000\n", + " Component | high: 69010/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=62.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00072039 [ 0.46 %]\n", - "Velocity : 0.00228763 [ 1.47 %]\n", - "Force : 0.0580395 [ 37.21 %]\n", - "Coefs : 0.024491 [ 15.70 %]\n", - "Output : 0.000731132 [ 0.47 %]\n", - "Levels : 0.00022511 [ 0.14 %]\n", - "Report : 1.189e-06 [ 0.00 %]\n", - "Balance : 4.18e-07 [ 0.00 %]\n", - "Adjust : 0.0694139 [ 44.50 %]\n", - "Total : 0.155973 [100.00 %]\n", + "Drift : 0.000275466 [ 0.01 %]\n", + "Velocity : 0.0013164 [ 0.04 %]\n", + "Force : 0.51061 [ 15.35 %]\n", + "Coefs : 2.1478 [ 64.58 %]\n", + "Output : 0.000797097 [ 0.02 %]\n", + "Levels : 0.000159594 [ 0.00 %]\n", + "Report : 3.32e-07 [ 0.00 %]\n", + "Balance : 3.53e-07 [ 0.00 %]\n", + "Adjust : 0.664892 [ 19.99 %]\n", + "Total : 3.32587 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5826 741 306 129 140 \n", - "1 : 5859 734 323 101 125 \n", - "2 : 5783 793 329 103 134 \n", - "3 : 5808 758 333 93 150 \n", - "4 : 5764 762 336 139 141 \n", - "5 : 5872 705 315 120 130 \n", - "6 : 5819 767 315 112 129 \n", - "7 : 5801 771 306 123 141 \n", - "8 : 5872 707 317 119 127 \n", - "9 : 5795 765 319 139 124 \n", - "10 : 5796 798 304 125 119 \n", - "11 : 5784 754 338 133 133 \n", - "12 : 5792 760 335 117 138 \n", - "13 : 5795 801 324 122 112 \n", + "0 : 5853 690 346 120 133 \n", + "1 : 5849 721 353 107 112 \n", + "2 : 5828 732 347 125 110 \n", + "3 : 5853 725 339 112 113 \n", + "4 : 5823 737 347 114 121 \n", + "5 : 5930 684 313 117 98 \n", + "6 : 5863 737 335 110 97 \n", + "7 : 5853 709 345 108 127 \n", + "8 : 5888 683 324 130 117 \n", + "9 : 5841 741 316 125 119 \n", + "10 : 5841 722 338 130 111 \n", + "11 : 5817 771 322 124 108 \n", + "12 : 5870 732 339 102 99 \n", + "13 : 5836 754 338 96 130 \n", "\n", - "T : 81366 10616 4500 1675 1843 [100000]\n", + "T : 81945 10138 4702 1620 1595 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.0758e-02 sec\n", - "--- Collate = 7.5268e-05 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 2.6792e-02 sec\n", + "--- Collate = 1.4014e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.539711e-06 < 6.250000e-03 [1130]\n", - "--- Max DT=8.516552e-01 > 1.000000e-01 [66810]\n", + "--- Min DT=2.997197e-06 < 6.250000e-03 [945]\n", + "--- Max DT=1.127498e+00 > 1.000000e-01 [68984]\n", "----------------------------------------------------------------------\n", - " Component | low: 1130/100000\n", - " Component | high: 66810/100000\n", + " Component | low: 945/100000\n", + " Component | high: 68984/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=62.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000632465 [ 0.41 %]\n", - "Velocity : 0.00252291 [ 1.63 %]\n", - "Force : 0.0573333 [ 36.96 %]\n", - "Coefs : 0.0228052 [ 14.70 %]\n", - "Output : 0.00116451 [ 0.75 %]\n", - "Levels : 0.000235254 [ 0.15 %]\n", - "Report : 1.12e-06 [ 0.00 %]\n", - "Balance : 6.77e-07 [ 0.00 %]\n", - "Adjust : 0.0703581 [ 45.36 %]\n", - "Total : 0.155109 [100.00 %]\n", + "Drift : 0.000279912 [ 0.01 %]\n", + "Velocity : 0.00128974 [ 0.04 %]\n", + "Force : 0.535946 [ 16.91 %]\n", + "Coefs : 2.02059 [ 63.74 %]\n", + "Output : 0.00083824 [ 0.03 %]\n", + "Levels : 0.000144837 [ 0.00 %]\n", + "Report : 7.38e-07 [ 0.00 %]\n", + "Balance : 1.36e-07 [ 0.00 %]\n", + "Adjust : 0.610786 [ 19.27 %]\n", + "Total : 3.16991 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5818 750 304 137 133 \n", - "1 : 5851 731 336 101 123 \n", - "2 : 5790 786 334 100 132 \n", - "3 : 5812 750 336 94 150 \n", - "4 : 5760 762 333 147 140 \n", - "5 : 5869 709 306 131 127 \n", - "6 : 5825 752 320 123 122 \n", - "7 : 5799 772 304 123 144 \n", - "8 : 5862 716 321 114 129 \n", - "9 : 5787 770 323 131 131 \n", - "10 : 5785 808 302 134 113 \n", - "11 : 5769 776 319 141 137 \n", - "12 : 5795 753 336 124 134 \n", - "13 : 5789 800 327 122 116 \n", + "0 : 5856 687 351 118 130 \n", + "1 : 5854 711 362 99 116 \n", + "2 : 5829 725 355 122 111 \n", + "3 : 5862 711 342 122 105 \n", + "4 : 5824 734 351 112 121 \n", + "5 : 5932 682 312 123 93 \n", + "6 : 5864 735 332 110 101 \n", + "7 : 5848 715 339 111 129 \n", + "8 : 5886 685 324 124 123 \n", + "9 : 5846 735 322 119 120 \n", + "10 : 5841 717 344 137 103 \n", + "11 : 5820 767 324 118 113 \n", + "12 : 5872 730 332 106 102 \n", + "13 : 5840 749 341 89 135 \n", "\n", - "T : 81311 10635 4501 1722 1831 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81974 10083 4731 1610 1602 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 1.0350e-02 sec\n", - "--- Collate = 7.4706e-05 sec\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 9.2453e-02 sec\n", + "--- Collate = 1.4019e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.100919e-06 < 6.250000e-03 [1140]\n", - "--- Max DT=8.575751e-01 > 1.000000e-01 [66808]\n", + "--- Min DT=4.318424e-06 < 6.250000e-03 [923]\n", + "--- Max DT=1.133702e+00 > 1.000000e-01 [68986]\n", "----------------------------------------------------------------------\n", - " Component | low: 1140/100000\n", - " Component | high: 66808/100000\n", + " Component | low: 923/100000\n", + " Component | high: 68986/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=62.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000691643 [ 0.45 %]\n", - "Velocity : 0.00287779 [ 1.88 %]\n", - "Force : 0.056117 [ 36.64 %]\n", - "Coefs : 0.0236469 [ 15.44 %]\n", - "Output : 0.000954482 [ 0.62 %]\n", - "Levels : 0.000308592 [ 0.20 %]\n", - "Report : 1.194e-06 [ 0.00 %]\n", - "Balance : 5.67e-07 [ 0.00 %]\n", - "Adjust : 0.0684981 [ 44.73 %]\n", - "Total : 0.153151 [100.00 %]\n", + "Drift : 0.0003826 [ 0.01 %]\n", + "Velocity : 0.00162124 [ 0.04 %]\n", + "Force : 0.638944 [ 15.40 %]\n", + "Coefs : 2.67119 [ 64.40 %]\n", + "Output : 0.000826396 [ 0.02 %]\n", + "Levels : 0.000340792 [ 0.01 %]\n", + "Report : 1.449e-06 [ 0.00 %]\n", + "Balance : 2.16e-07 [ 0.00 %]\n", + "Adjust : 0.834727 [ 20.12 %]\n", + "Total : 4.14807 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5807 758 312 122 143 \n", - "1 : 5849 729 340 100 124 \n", - "2 : 5785 792 333 110 122 \n", - "3 : 5800 761 334 106 141 \n", - "4 : 5756 760 335 151 140 \n", - "5 : 5870 702 309 131 130 \n", - "6 : 5819 751 324 126 122 \n", - "7 : 5789 776 311 124 142 \n", - "8 : 5855 720 312 124 131 \n", - "9 : 5777 785 320 130 130 \n", - "10 : 5783 805 309 130 115 \n", - "11 : 5759 778 320 148 137 \n", - "12 : 5790 755 346 116 135 \n", - "13 : 5780 813 325 114 122 \n", + "0 : 5863 685 342 118 134 \n", + "1 : 5857 706 359 104 116 \n", + "2 : 5833 722 354 124 109 \n", + "3 : 5865 709 336 130 102 \n", + "4 : 5819 745 345 118 115 \n", + "5 : 5937 675 317 112 101 \n", + "6 : 5855 741 340 101 105 \n", + "7 : 5852 718 328 115 129 \n", + "8 : 5881 681 336 113 131 \n", + "9 : 5847 735 320 110 130 \n", + "10 : 5844 716 347 123 112 \n", + "11 : 5820 766 317 126 113 \n", + "12 : 5872 722 341 107 100 \n", + "13 : 5847 741 335 106 125 \n", "\n", - "T : 81219 10685 4530 1732 1834 [100000]\n", + "T : 81992 10062 4717 1607 1622 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.0560e-02 sec\n", - "--- Collate = 7.4892e-05 sec\n", + "--- Coef/DT = 4.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 5.3522e-02 sec\n", + "--- Collate = 6.0448e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.364663e-06 < 6.250000e-03 [1129]\n", - "--- Max DT=8.635008e-01 > 1.000000e-01 [66809]\n", + "--- Min DT=2.241371e-06 < 6.250000e-03 [901]\n", + "--- Max DT=1.139911e+00 > 1.000000e-01 [68960]\n", "----------------------------------------------------------------------\n", - " Component | low: 1129/100000\n", - " Component | high: 66809/100000\n", + " Component | low: 901/100000\n", + " Component | high: 68960/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=62.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000745559 [ 0.50 %]\n", - "Velocity : 0.0023001 [ 1.53 %]\n", - "Force : 0.056458 [ 37.54 %]\n", - "Coefs : 0.0230917 [ 15.35 %]\n", - "Output : 0.00109111 [ 0.73 %]\n", - "Levels : 0.000173709 [ 0.12 %]\n", - "Report : 1.065e-06 [ 0.00 %]\n", - "Balance : 3.75e-07 [ 0.00 %]\n", - "Adjust : 0.0664789 [ 44.20 %]\n", - "Total : 0.150393 [100.00 %]\n", + "Drift : 0.000742093 [ 0.02 %]\n", + "Velocity : 0.00251571 [ 0.07 %]\n", + "Force : 0.557244 [ 15.98 %]\n", + "Coefs : 2.19636 [ 62.97 %]\n", + "Output : 0.0010963 [ 0.03 %]\n", + "Levels : 0.000453288 [ 0.01 %]\n", + "Report : 1.204e-06 [ 0.00 %]\n", + "Balance : 5.91e-07 [ 0.00 %]\n", + "Adjust : 0.729698 [ 20.92 %]\n", + "Total : 3.48816 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5801 759 311 127 144 \n", - "1 : 5845 740 334 104 119 \n", - "2 : 5781 793 322 118 128 \n", - "3 : 5796 764 334 107 141 \n", - "4 : 5749 763 338 146 146 \n", - "5 : 5864 701 312 132 133 \n", - "6 : 5814 747 329 134 118 \n", - "7 : 5792 769 310 121 150 \n", - "8 : 5848 718 326 124 126 \n", - "9 : 5782 771 327 126 136 \n", - "10 : 5774 797 338 116 117 \n", - "11 : 5754 778 319 147 144 \n", - "12 : 5785 755 350 117 135 \n", - "13 : 5783 810 329 108 124 \n", + "0 : 5864 686 341 121 130 \n", + "1 : 5862 703 349 123 105 \n", + "2 : 5834 721 355 122 110 \n", + "3 : 5866 710 335 130 101 \n", + "4 : 5816 743 354 119 110 \n", + "5 : 5934 677 319 110 102 \n", + "6 : 5854 737 340 106 105 \n", + "7 : 5852 725 325 115 125 \n", + "8 : 5885 672 344 106 135 \n", + "9 : 5846 738 322 99 137 \n", + "10 : 5843 714 354 116 115 \n", + "11 : 5823 766 320 119 114 \n", + "12 : 5873 725 337 104 103 \n", + "13 : 5838 745 338 108 125 \n", "\n", - "T : 81168 10665 4579 1727 1861 [100000]\n", + "T : 81990 10062 4733 1598 1617 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.4%\n", - "--- Adj/Tot = 1.8%\n", - "--- Update = 1.1090e-02 sec\n", - "--- Collate = 8.8104e-05 sec\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 5.8348e-02 sec\n", + "--- Collate = 6.0317e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.018400e-06 < 6.250000e-03 [1147]\n", - "--- Max DT=8.694323e-01 > 1.000000e-01 [66789]\n", + "--- Min DT=9.804295e-07 < 6.250000e-03 [932]\n", + "--- Max DT=1.146125e+00 > 1.000000e-01 [68945]\n", "----------------------------------------------------------------------\n", - " Component | low: 1147/100000\n", - " Component | high: 66789/100000\n", + " Component | low: 932/100000\n", + " Component | high: 68945/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=62.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000616291 [ 0.40 %]\n", - "Velocity : 0.00268578 [ 1.76 %]\n", - "Force : 0.0559284 [ 36.63 %]\n", - "Coefs : 0.0227241 [ 14.88 %]\n", - "Output : 0.000986396 [ 0.65 %]\n", - "Levels : 0.00023573 [ 0.15 %]\n", - "Report : 1.211e-06 [ 0.00 %]\n", - "Balance : 4.3e-07 [ 0.00 %]\n", - "Adjust : 0.0694478 [ 45.48 %]\n", - "Total : 0.152683 [100.00 %]\n", + "Drift : 0.000653552 [ 0.02 %]\n", + "Velocity : 0.00340991 [ 0.08 %]\n", + "Force : 0.673993 [ 16.16 %]\n", + "Coefs : 2.56783 [ 61.57 %]\n", + "Output : 0.00111111 [ 0.03 %]\n", + "Levels : 0.000315088 [ 0.01 %]\n", + "Report : 9.81e-07 [ 0.00 %]\n", + "Balance : 4.48e-07 [ 0.00 %]\n", + "Adjust : 0.923221 [ 22.14 %]\n", + "Total : 4.17059 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5804 750 318 129 141 \n", - "1 : 5838 751 327 108 118 \n", - "2 : 5776 801 323 117 125 \n", - "3 : 5792 771 326 112 141 \n", - "4 : 5748 762 347 135 150 \n", - "5 : 5853 712 314 128 135 \n", - "6 : 5796 774 318 125 129 \n", - "7 : 5796 760 318 116 152 \n", - "8 : 5847 710 326 139 120 \n", - "9 : 5782 770 330 125 135 \n", - "10 : 5775 788 340 129 110 \n", - "11 : 5755 776 319 153 139 \n", - "12 : 5784 758 348 120 132 \n", - "13 : 5782 812 320 117 123 \n", + "0 : 5869 683 347 125 118 \n", + "1 : 5866 698 352 129 97 \n", + "2 : 5838 719 360 116 109 \n", + "3 : 5856 725 330 128 103 \n", + "4 : 5818 741 358 112 113 \n", + "5 : 5934 670 313 125 100 \n", + "6 : 5856 738 331 112 105 \n", + "7 : 5852 717 336 111 126 \n", + "8 : 5890 664 337 115 136 \n", + "9 : 5848 734 321 115 124 \n", + "10 : 5841 713 362 115 111 \n", + "11 : 5826 754 331 121 110 \n", + "12 : 5879 714 337 111 101 \n", + "13 : 5837 745 341 108 123 \n", "\n", - "T : 81128 10695 4574 1753 1850 [100000]\n", + "T : 82010 10015 4756 1643 1576 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 1.8%\n", - "--- Update = 1.1334e-02 sec\n", - "--- Collate = 8.3280e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 3.9233e-02 sec\n", + "--- Collate = 5.6383e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.262128e-06 < 6.250000e-03 [1121]\n", - "--- Max DT=8.753694e-01 > 1.000000e-01 [66801]\n", + "--- Min DT=1.228657e-07 < 6.250000e-03 [942]\n", + "--- Max DT=1.152343e+00 > 1.000000e-01 [68934]\n", "----------------------------------------------------------------------\n", - " Component | low: 1121/100000\n", - " Component | high: 66801/100000\n", + " Component | low: 942/100000\n", + " Component | high: 68934/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=62.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000912215 [ 0.54 %]\n", - "Velocity : 0.00320848 [ 1.91 %]\n", - "Force : 0.0597309 [ 35.56 %]\n", - "Coefs : 0.028479 [ 16.96 %]\n", - "Output : 0.00106845 [ 0.64 %]\n", - "Levels : 0.000237272 [ 0.14 %]\n", - "Report : 1.332e-06 [ 0.00 %]\n", - "Balance : 6.92e-07 [ 0.00 %]\n", - "Adjust : 0.0742694 [ 44.22 %]\n", - "Total : 0.167967 [100.00 %]\n", + "Drift : 0.000605878 [ 0.02 %]\n", + "Velocity : 0.00259699 [ 0.08 %]\n", + "Force : 0.57696 [ 16.72 %]\n", + "Coefs : 2.11938 [ 61.40 %]\n", + "Output : 0.00140428 [ 0.04 %]\n", + "Levels : 0.000323767 [ 0.01 %]\n", + "Report : 9.1e-07 [ 0.00 %]\n", + "Balance : 3.32e-07 [ 0.00 %]\n", + "Adjust : 0.750189 [ 21.74 %]\n", + "Total : 3.45152 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5800 752 317 132 141 \n", - "1 : 5830 750 337 109 116 \n", - "2 : 5775 787 332 121 127 \n", - "3 : 5794 764 333 117 134 \n", - "4 : 5731 774 358 128 151 \n", - "5 : 5845 718 305 134 140 \n", - "6 : 5790 779 323 113 137 \n", - "7 : 5793 763 320 111 155 \n", - "8 : 5844 712 330 132 124 \n", - "9 : 5780 768 331 126 137 \n", - "10 : 5765 793 330 136 118 \n", - "11 : 5756 770 329 150 137 \n", - "12 : 5787 752 358 118 127 \n", - "13 : 5778 811 321 129 115 \n", + "0 : 5867 678 350 129 118 \n", + "1 : 5869 697 350 127 99 \n", + "2 : 5831 727 358 117 109 \n", + "3 : 5863 712 343 120 104 \n", + "4 : 5824 729 359 124 106 \n", + "5 : 5934 668 322 122 96 \n", + "6 : 5862 728 330 116 106 \n", + "7 : 5857 713 333 112 127 \n", + "8 : 5886 667 349 110 130 \n", + "9 : 5846 728 316 129 123 \n", + "10 : 5849 701 372 108 112 \n", + "11 : 5835 747 323 122 115 \n", + "12 : 5879 715 335 107 106 \n", + "13 : 5845 741 338 123 107 \n", "\n", - "T : 81068 10693 4624 1756 1859 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 82047 9951 4778 1666 1558 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 1.1462e-02 sec\n", - "--- Collate = 8.9732e-05 sec\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 3.6580e-02 sec\n", + "--- Collate = 8.0096e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.184297e-06 < 6.250000e-03 [1126]\n", - "--- Max DT=8.813123e-01 > 1.000000e-01 [66809]\n", + "--- Min DT=6.743022e-09 < 6.250000e-03 [927]\n", + "--- Max DT=1.158566e+00 > 1.000000e-01 [68940]\n", "----------------------------------------------------------------------\n", - " Component | low: 1126/100000\n", - " Component | high: 66809/100000\n", + " Component | low: 927/100000\n", + " Component | high: 68940/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=62.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000825197 [ 0.48 %]\n", - "Velocity : 0.00325124 [ 1.88 %]\n", - "Force : 0.0608598 [ 35.14 %]\n", - "Coefs : 0.0300773 [ 17.37 %]\n", - "Output : 0.000909475 [ 0.53 %]\n", - "Levels : 0.000201206 [ 0.12 %]\n", - "Report : 1.529e-06 [ 0.00 %]\n", - "Balance : 6.44e-07 [ 0.00 %]\n", - "Adjust : 0.0770144 [ 44.47 %]\n", - "Total : 0.173196 [100.00 %]\n", + "Drift : 0.000515889 [ 0.02 %]\n", + "Velocity : 0.00196871 [ 0.07 %]\n", + "Force : 0.552275 [ 18.93 %]\n", + "Coefs : 1.77116 [ 60.70 %]\n", + "Output : 0.00123411 [ 0.04 %]\n", + "Levels : 0.000269741 [ 0.01 %]\n", + "Report : 1.143e-06 [ 0.00 %]\n", + "Balance : 5.12e-07 [ 0.00 %]\n", + "Adjust : 0.590189 [ 20.23 %]\n", + "Total : 2.91767 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5808 746 312 136 140 \n", - "1 : 5837 736 344 107 118 \n", - "2 : 5769 788 335 126 124 \n", - "3 : 5792 751 344 123 132 \n", - "4 : 5723 773 363 134 149 \n", - "5 : 5840 730 295 140 137 \n", - "6 : 5791 775 327 110 139 \n", - "7 : 5781 779 319 112 151 \n", - "8 : 5849 705 331 124 133 \n", - "9 : 5780 770 330 119 143 \n", - "10 : 5773 776 334 131 128 \n", - "11 : 5760 763 329 143 147 \n", - "12 : 5782 750 367 109 134 \n", - "13 : 5779 819 317 121 118 \n", + "0 : 5871 675 353 132 111 \n", + "1 : 5876 686 360 119 101 \n", + "2 : 5834 723 355 116 114 \n", + "3 : 5857 724 334 118 109 \n", + "4 : 5826 722 362 130 102 \n", + "5 : 5932 676 317 121 96 \n", + "6 : 5861 720 335 125 101 \n", + "7 : 5861 713 325 113 130 \n", + "8 : 5890 666 338 119 129 \n", + "9 : 5849 721 322 115 135 \n", + "10 : 5851 709 362 104 116 \n", + "11 : 5832 752 324 120 114 \n", + "12 : 5871 725 330 109 107 \n", + "13 : 5848 740 338 123 105 \n", "\n", - "T : 81064 10661 4647 1735 1893 [100000]\n", + "T : 82059 9952 4755 1664 1570 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.1%\n", - "--- Adj/Tot = 1.8%\n", - "--- Update = 1.1472e-02 sec\n", - "--- Collate = 8.9103e-05 sec\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 6.7562e-02 sec\n", + "--- Collate = 9.0516e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.203192e-06 < 6.250000e-03 [1129]\n", - "--- Max DT=8.872607e-01 > 1.000000e-01 [66800]\n", + "--- Min DT=1.836978e-06 < 6.250000e-03 [940]\n", + "--- Max DT=1.164793e+00 > 1.000000e-01 [68931]\n", "----------------------------------------------------------------------\n", - " Component | low: 1129/100000\n", - " Component | high: 66800/100000\n", + " Component | low: 940/100000\n", + " Component | high: 68931/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=62.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000812702 [ 0.42 %]\n", - "Velocity : 0.00321752 [ 1.68 %]\n", - "Force : 0.0731328 [ 38.12 %]\n", - "Coefs : 0.0296325 [ 15.44 %]\n", - "Output : 0.00119913 [ 0.62 %]\n", - "Levels : 0.0003052 [ 0.16 %]\n", - "Report : 1.532e-06 [ 0.00 %]\n", - "Balance : 7.57e-07 [ 0.00 %]\n", - "Adjust : 0.0835041 [ 43.52 %]\n", - "Total : 0.191865 [100.00 %]\n", + "Drift : 0.000449245 [ 0.01 %]\n", + "Velocity : 0.00166519 [ 0.05 %]\n", + "Force : 0.553762 [ 16.11 %]\n", + "Coefs : 2.14904 [ 62.51 %]\n", + "Output : 0.000875939 [ 0.03 %]\n", + "Levels : 0.000291409 [ 0.01 %]\n", + "Report : 7.52e-07 [ 0.00 %]\n", + "Balance : 4.42e-07 [ 0.00 %]\n", + "Adjust : 0.73161 [ 21.28 %]\n", + "Total : 3.43775 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5815 738 321 123 145 \n", - "1 : 5831 742 342 111 116 \n", - "2 : 5755 805 336 117 129 \n", - "3 : 5789 754 345 131 123 \n", - "4 : 5722 775 371 119 155 \n", - "5 : 5842 733 290 139 138 \n", - "6 : 5797 758 339 110 138 \n", - "7 : 5777 784 314 115 152 \n", - "8 : 5843 720 311 142 126 \n", - "9 : 5775 769 336 123 139 \n", - "10 : 5762 792 327 138 123 \n", - "11 : 5754 759 337 144 148 \n", - "12 : 5776 757 364 108 137 \n", - "13 : 5771 818 331 115 119 \n", + "0 : 5869 676 358 128 111 \n", + "1 : 5874 690 351 126 101 \n", + "2 : 5835 718 352 122 115 \n", + "3 : 5865 711 340 114 112 \n", + "4 : 5824 730 363 118 107 \n", + "5 : 5927 679 320 117 99 \n", + "6 : 5868 705 340 132 97 \n", + "7 : 5861 711 323 113 134 \n", + "8 : 5883 666 338 113 142 \n", + "9 : 5852 723 320 118 129 \n", + "10 : 5847 707 367 108 113 \n", + "11 : 5838 740 336 116 112 \n", + "12 : 5863 730 327 121 101 \n", + "13 : 5841 742 337 124 110 \n", "\n", - "T : 81009 10704 4664 1735 1888 [100000]\n", + "T : 82047 9928 4772 1670 1583 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.3%\n", - "--- Adj/Tot = 1.8%\n", - "--- Update = 1.1384e-02 sec\n", - "--- Collate = 7.5719e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 3.5422e-02 sec\n", + "--- Collate = 4.0224e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.393822e-06 < 6.250000e-03 [1116]\n", - "--- Max DT=8.932147e-01 > 1.000000e-01 [66828]\n", + "--- Min DT=3.315634e-06 < 6.250000e-03 [932]\n", + "--- Max DT=1.171025e+00 > 1.000000e-01 [68914]\n", "----------------------------------------------------------------------\n", - " Component | low: 1116/100000\n", - " Component | high: 66828/100000\n", + " Component | low: 932/100000\n", + " Component | high: 68914/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=63] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000949333 [ 0.55 %]\n", - "Velocity : 0.00335526 [ 1.94 %]\n", - "Force : 0.0619558 [ 35.82 %]\n", - "Coefs : 0.0235817 [ 13.63 %]\n", - "Output : 0.00658345 [ 3.81 %]\n", - "Levels : 0.000258682 [ 0.15 %]\n", - "Report : 1.536e-06 [ 0.00 %]\n", - "Balance : 9.77e-07 [ 0.00 %]\n", - "Adjust : 0.0761895 [ 44.05 %]\n", - "Total : 0.172958 [100.00 %]\n", + "Drift : 0.00475292 [ 0.15 %]\n", + "Velocity : 0.0024492 [ 0.08 %]\n", + "Force : 0.579822 [ 17.95 %]\n", + "Coefs : 1.99257 [ 61.67 %]\n", + "Output : 0.0112912 [ 0.35 %]\n", + "Levels : 0.000258376 [ 0.01 %]\n", + "Report : 1.554e-06 [ 0.00 %]\n", + "Balance : 1.093e-06 [ 0.00 %]\n", + "Adjust : 0.63959 [ 19.80 %]\n", + "Total : 3.23079 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5814 741 327 120 140 \n", - "1 : 5821 737 357 111 116 \n", - "2 : 5748 809 332 121 132 \n", - "3 : 5782 757 358 120 125 \n", - "4 : 5718 781 377 113 153 \n", - "5 : 5848 720 301 128 145 \n", - "6 : 5802 751 342 107 140 \n", - "7 : 5769 787 319 114 153 \n", - "8 : 5837 730 304 150 121 \n", - "9 : 5766 777 339 118 142 \n", - "10 : 5763 778 343 126 132 \n", - "11 : 5745 777 325 140 155 \n", - "12 : 5773 756 367 120 126 \n", - "13 : 5770 820 325 116 123 \n", + "0 : 5875 668 355 130 114 \n", + "1 : 5881 681 357 123 100 \n", + "2 : 5835 725 345 122 115 \n", + "3 : 5867 704 339 126 106 \n", + "4 : 5829 731 359 111 112 \n", + "5 : 5921 682 333 110 96 \n", + "6 : 5874 698 338 127 105 \n", + "7 : 5863 705 325 117 132 \n", + "8 : 5875 675 335 112 145 \n", + "9 : 5854 719 326 108 135 \n", + "10 : 5852 708 364 111 107 \n", + "11 : 5833 745 329 126 109 \n", + "12 : 5863 728 323 123 105 \n", + "13 : 5841 733 344 129 107 \n", "\n", - "T : 80956 10721 4716 1704 1903 [100000]\n", + "T : 82063 9902 4772 1675 1588 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 6.2%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 1.5733e-02 sec\n", - "--- Collate = 9.2314e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 5.3557e-02 sec\n", + "--- Collate = 5.0173e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.476509e-06 < 6.250000e-03 [1153]\n", - "--- Max DT=8.991743e-01 > 1.000000e-01 [66817]\n", + "--- Min DT=9.171555e-06 < 6.250000e-03 [941]\n", + "--- Max DT=1.177261e+00 > 1.000000e-01 [68903]\n", "----------------------------------------------------------------------\n", - " Component | low: 1153/100000\n", - " Component | high: 66817/100000\n", + " Component | low: 941/100000\n", + " Component | high: 68903/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=63.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000981192 [ 0.28 %]\n", - "Velocity : 0.00416072 [ 1.18 %]\n", - "Force : 0.134293 [ 38.18 %]\n", - "Coefs : 0.0758459 [ 21.56 %]\n", - "Output : 0.00138204 [ 0.39 %]\n", - "Levels : 0.000202236 [ 0.06 %]\n", - "Report : 8.13e-07 [ 0.00 %]\n", - "Balance : 3.29e-07 [ 0.00 %]\n", - "Adjust : 0.134778 [ 38.32 %]\n", - "Total : 0.351712 [100.00 %]\n", + "Drift : 0.000419007 [ 0.01 %]\n", + "Velocity : 0.00162762 [ 0.06 %]\n", + "Force : 0.519586 [ 17.58 %]\n", + "Coefs : 1.82837 [ 61.85 %]\n", + "Output : 0.000947274 [ 0.03 %]\n", + "Levels : 0.000285904 [ 0.01 %]\n", + "Report : 9.44e-07 [ 0.00 %]\n", + "Balance : 4.37e-07 [ 0.00 %]\n", + "Adjust : 0.604947 [ 20.46 %]\n", + "Total : 2.95623 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5806 750 327 126 133 \n", - "1 : 5818 742 353 113 116 \n", - "2 : 5743 813 334 122 130 \n", - "3 : 5780 762 370 110 120 \n", - "4 : 5711 779 391 115 146 \n", - "5 : 5847 716 305 126 148 \n", - "6 : 5796 755 336 108 147 \n", - "7 : 5763 781 341 103 154 \n", - "8 : 5824 737 313 147 121 \n", - "9 : 5761 780 348 114 139 \n", - "10 : 5749 788 344 123 138 \n", - "11 : 5743 776 323 151 149 \n", - "12 : 5770 752 377 114 129 \n", - "13 : 5767 815 328 116 128 \n", + "0 : 5874 665 355 135 113 \n", + "1 : 5873 694 352 118 105 \n", + "2 : 5824 735 347 109 127 \n", + "3 : 5867 710 343 114 108 \n", + "4 : 5832 721 367 110 112 \n", + "5 : 5925 679 326 109 103 \n", + "6 : 5876 696 338 123 109 \n", + "7 : 5858 710 326 124 124 \n", + "8 : 5885 670 325 123 139 \n", + "9 : 5860 711 332 106 133 \n", + "10 : 5850 703 370 112 107 \n", + "11 : 5827 749 330 116 120 \n", + "12 : 5872 722 326 117 105 \n", + "13 : 5842 732 345 124 111 \n", "\n", - "T : 80878 10746 4790 1688 1898 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 82065 9897 4782 1640 1616 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 9.1913e-03 sec\n", - "--- Collate = 6.6661e-05 sec\n", + "--- Coef/DT = 23.6%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 3.7537e-02 sec\n", + "--- Collate = 8.0133e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.392475e-07 < 6.250000e-03 [1152]\n", - "--- Max DT=9.051394e-01 > 1.000000e-01 [66834]\n", + "--- Min DT=1.443208e-06 < 6.250000e-03 [956]\n", + "--- Max DT=1.183502e+00 > 1.000000e-01 [68888]\n", "----------------------------------------------------------------------\n", - " Component | low: 1152/100000\n", - " Component | high: 66834/100000\n", + " Component | low: 956/100000\n", + " Component | high: 68888/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=63.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.001228 [ 0.69 %]\n", - "Velocity : 0.00392013 [ 2.21 %]\n", - "Force : 0.0649952 [ 36.61 %]\n", - "Coefs : 0.0344133 [ 19.38 %]\n", - "Output : 0.000967449 [ 0.54 %]\n", - "Levels : 0.0001824 [ 0.10 %]\n", - "Report : 6.13e-07 [ 0.00 %]\n", - "Balance : 1.57e-07 [ 0.00 %]\n", - "Adjust : 0.071773 [ 40.43 %]\n", - "Total : 0.177538 [100.00 %]\n", + "Drift : 0.000466036 [ 0.02 %]\n", + "Velocity : 0.00171788 [ 0.06 %]\n", + "Force : 0.51881 [ 16.93 %]\n", + "Coefs : 1.87187 [ 61.08 %]\n", + "Output : 0.00086992 [ 0.03 %]\n", + "Levels : 0.000274822 [ 0.01 %]\n", + "Report : 1.087e-06 [ 0.00 %]\n", + "Balance : 4.19e-07 [ 0.00 %]\n", + "Adjust : 0.670522 [ 21.88 %]\n", + "Total : 3.06457 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5801 746 336 126 133 \n", - "1 : 5804 757 356 111 114 \n", - "2 : 5751 792 340 123 136 \n", - "3 : 5773 774 370 105 120 \n", - "4 : 5722 756 408 112 144 \n", - "5 : 5842 709 319 124 148 \n", - "6 : 5799 752 340 107 144 \n", - "7 : 5758 777 346 112 149 \n", - "8 : 5820 736 321 141 124 \n", - "9 : 5754 787 346 118 137 \n", - "10 : 5744 790 349 119 140 \n", - "11 : 5740 776 326 156 144 \n", - "12 : 5768 747 383 108 136 \n", - "13 : 5760 819 332 111 132 \n", + "0 : 5871 665 366 119 121 \n", + "1 : 5874 693 346 128 101 \n", + "2 : 5826 731 349 119 117 \n", + "3 : 5863 721 327 124 107 \n", + "4 : 5839 717 360 113 113 \n", + "5 : 5927 683 325 108 99 \n", + "6 : 5872 703 335 118 114 \n", + "7 : 5864 708 319 122 129 \n", + "8 : 5876 684 325 130 127 \n", + "9 : 5860 718 327 103 134 \n", + "10 : 5846 705 367 112 112 \n", + "11 : 5826 750 329 119 118 \n", + "12 : 5866 724 330 115 107 \n", + "13 : 5843 723 351 115 122 \n", "\n", - "T : 80836 10718 4872 1673 1901 [100000]\n", + "T : 82053 9925 4756 1645 1621 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0372e-02 sec\n", - "--- Collate = 6.8711e-05 sec\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 4.6444e-02 sec\n", + "--- Collate = 9.1660e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.017494e-06 < 6.250000e-03 [1180]\n", - "--- Max DT=9.111101e-01 > 1.000000e-01 [66850]\n", + "--- Min DT=3.507277e-06 < 6.250000e-03 [970]\n", + "--- Max DT=1.189747e+00 > 1.000000e-01 [68877]\n", "----------------------------------------------------------------------\n", - " Component | low: 1180/100000\n", - " Component | high: 66850/100000\n", + " Component | low: 970/100000\n", + " Component | high: 68877/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=63.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000890223 [ 0.59 %]\n", - "Velocity : 0.00308796 [ 2.04 %]\n", - "Force : 0.0576089 [ 37.97 %]\n", - "Coefs : 0.0224049 [ 14.77 %]\n", - "Output : 0.000911948 [ 0.60 %]\n", - "Levels : 0.000234176 [ 0.15 %]\n", - "Report : 9.81e-07 [ 0.00 %]\n", - "Balance : 1.67e-07 [ 0.00 %]\n", - "Adjust : 0.0665163 [ 43.85 %]\n", - "Total : 0.151706 [100.00 %]\n", + "Drift : 0.000698809 [ 0.02 %]\n", + "Velocity : 0.00195552 [ 0.06 %]\n", + "Force : 0.52216 [ 15.59 %]\n", + "Coefs : 2.17662 [ 64.98 %]\n", + "Output : 0.000990748 [ 0.03 %]\n", + "Levels : 0.000272436 [ 0.01 %]\n", + "Report : 9.48e-07 [ 0.00 %]\n", + "Balance : 2.19e-07 [ 0.00 %]\n", + "Adjust : 0.646777 [ 19.31 %]\n", + "Total : 3.34952 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5797 741 338 130 136 \n", - "1 : 5805 756 354 117 110 \n", - "2 : 5751 791 340 131 129 \n", - "3 : 5775 771 368 111 117 \n", - "4 : 5722 756 396 129 139 \n", - "5 : 5843 699 329 126 145 \n", - "6 : 5790 760 332 117 143 \n", - "7 : 5750 787 346 116 143 \n", - "8 : 5817 735 339 130 121 \n", - "9 : 5750 791 340 128 133 \n", - "10 : 5732 807 341 117 145 \n", - "11 : 5736 782 322 162 140 \n", - "12 : 5768 743 382 120 129 \n", - "13 : 5758 811 338 120 127 \n", + "0 : 5869 672 355 122 124 \n", + "1 : 5874 690 349 117 112 \n", + "2 : 5821 738 337 123 123 \n", + "3 : 5864 721 324 120 113 \n", + "4 : 5838 717 358 111 118 \n", + "5 : 5926 683 336 103 94 \n", + "6 : 5866 707 327 132 110 \n", + "7 : 5855 713 326 122 126 \n", + "8 : 5875 686 314 147 120 \n", + "9 : 5864 709 325 118 126 \n", + "10 : 5844 701 368 125 104 \n", + "11 : 5829 743 328 120 122 \n", + "12 : 5869 724 325 110 114 \n", + "13 : 5843 726 349 108 128 \n", "\n", - "T : 80794 10730 4865 1754 1857 [100000]\n", + "T : 82037 9930 4721 1678 1634 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0261e-02 sec\n", - "--- Collate = 7.2568e-05 sec\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 5.2218e-02 sec\n", + "--- Collate = 7.4046e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.980821e-06 < 6.250000e-03 [1159]\n", - "--- Max DT=9.170862e-01 > 1.000000e-01 [66850]\n", + "--- Min DT=2.229260e-07 < 6.250000e-03 [996]\n", + "--- Max DT=1.195997e+00 > 1.000000e-01 [68884]\n", "----------------------------------------------------------------------\n", - " Component | low: 1159/100000\n", - " Component | high: 66850/100000\n", + " Component | low: 996/100000\n", + " Component | high: 68884/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=63.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000852537 [ 0.56 %]\n", - "Velocity : 0.00369693 [ 2.43 %]\n", - "Force : 0.056366 [ 37.05 %]\n", - "Coefs : 0.0223579 [ 14.70 %]\n", - "Output : 0.000873396 [ 0.57 %]\n", - "Levels : 0.000177341 [ 0.12 %]\n", - "Report : 8.67e-07 [ 0.00 %]\n", - "Balance : 1.64e-07 [ 0.00 %]\n", - "Adjust : 0.0677475 [ 44.54 %]\n", - "Total : 0.152118 [100.00 %]\n", + "Drift : 0.000477618 [ 0.01 %]\n", + "Velocity : 0.00180243 [ 0.06 %]\n", + "Force : 0.559316 [ 17.42 %]\n", + "Coefs : 1.97882 [ 61.64 %]\n", + "Output : 0.000856176 [ 0.03 %]\n", + "Levels : 0.000364148 [ 0.01 %]\n", + "Report : 9.05e-07 [ 0.00 %]\n", + "Balance : 4.44e-07 [ 0.00 %]\n", + "Adjust : 0.66874 [ 20.83 %]\n", + "Total : 3.21043 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5792 738 351 124 137 \n", - "1 : 5800 763 347 118 114 \n", - "2 : 5752 792 337 123 138 \n", - "3 : 5763 779 377 102 121 \n", - "4 : 5722 757 391 134 138 \n", - "5 : 5849 694 334 119 146 \n", - "6 : 5801 749 338 111 143 \n", - "7 : 5745 793 344 119 141 \n", - "8 : 5821 726 345 126 124 \n", - "9 : 5743 801 339 124 135 \n", - "10 : 5732 794 349 119 148 \n", - "11 : 5732 779 335 159 137 \n", - "12 : 5762 744 390 120 126 \n", - "13 : 5756 811 342 118 127 \n", + "0 : 5867 672 354 120 129 \n", + "1 : 5878 687 346 113 118 \n", + "2 : 5826 727 344 120 125 \n", + "3 : 5864 726 325 110 117 \n", + "4 : 5840 724 354 100 124 \n", + "5 : 5922 691 322 109 98 \n", + "6 : 5868 702 330 134 108 \n", + "7 : 5856 709 318 128 131 \n", + "8 : 5872 687 321 133 129 \n", + "9 : 5866 711 322 123 120 \n", + "10 : 5843 693 378 121 107 \n", + "11 : 5827 750 326 112 127 \n", + "12 : 5866 726 320 118 112 \n", + "13 : 5844 721 353 106 130 \n", "\n", - "T : 80770 10720 4919 1716 1875 [100000]\n", + "T : 82039 9926 4713 1647 1675 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0275e-02 sec\n", - "--- Collate = 7.3662e-05 sec\n", + "--- Coef/DT = 3.1%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 4.4493e-02 sec\n", + "--- Collate = 8.0148e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.866934e-05 < 6.250000e-03 [1150]\n", - "--- Max DT=9.230679e-01 > 1.000000e-01 [66853]\n", + "--- Min DT=1.310742e-06 < 6.250000e-03 [1005]\n", + "--- Max DT=1.202251e+00 > 1.000000e-01 [68872]\n", "----------------------------------------------------------------------\n", - " Component | low: 1150/100000\n", - " Component | high: 66853/100000\n", + " Component | low: 1005/100000\n", + " Component | high: 68872/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=63.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000898346 [ 0.59 %]\n", - "Velocity : 0.00341994 [ 2.26 %]\n", - "Force : 0.0562221 [ 37.17 %]\n", - "Coefs : 0.022364 [ 14.79 %]\n", - "Output : 0.000839841 [ 0.56 %]\n", - "Levels : 0.000181144 [ 0.12 %]\n", - "Report : 9.77e-07 [ 0.00 %]\n", - "Balance : 1.74e-07 [ 0.00 %]\n", - "Adjust : 0.0672855 [ 44.48 %]\n", - "Total : 0.151259 [100.00 %]\n", + "Drift : 0.000682374 [ 0.02 %]\n", + "Velocity : 0.00215035 [ 0.06 %]\n", + "Force : 0.607242 [ 18.20 %]\n", + "Coefs : 2.08661 [ 62.52 %]\n", + "Output : 0.00127027 [ 0.04 %]\n", + "Levels : 0.00102224 [ 0.03 %]\n", + "Report : 9.25e-07 [ 0.00 %]\n", + "Balance : 3.11e-07 [ 0.00 %]\n", + "Adjust : 0.638371 [ 19.13 %]\n", + "Total : 3.3374 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5790 731 364 120 137 \n", - "1 : 5806 754 348 120 114 \n", - "2 : 5752 791 342 123 134 \n", - "3 : 5766 771 383 109 113 \n", - "4 : 5724 743 401 135 139 \n", - "5 : 5851 694 330 123 144 \n", - "6 : 5793 752 336 126 135 \n", - "7 : 5745 787 354 123 133 \n", - "8 : 5821 730 342 132 117 \n", - "9 : 5747 793 354 122 126 \n", - "10 : 5720 803 351 123 145 \n", - "11 : 5726 778 344 149 145 \n", - "12 : 5763 733 397 118 131 \n", - "13 : 5763 795 354 114 128 \n", + "0 : 5860 689 341 119 133 \n", + "1 : 5875 692 349 114 112 \n", + "2 : 5824 735 346 117 120 \n", + "3 : 5866 730 318 108 120 \n", + "4 : 5840 728 360 97 117 \n", + "5 : 5924 697 310 113 98 \n", + "6 : 5878 691 340 115 118 \n", + "7 : 5855 708 326 130 123 \n", + "8 : 5872 684 322 134 130 \n", + "9 : 5866 710 315 133 118 \n", + "10 : 5842 689 379 119 113 \n", + "11 : 5817 760 325 115 125 \n", + "12 : 5872 718 324 117 111 \n", + "13 : 5840 735 337 113 129 \n", "\n", - "T : 80767 10655 5000 1737 1841 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 82031 9966 4692 1644 1667 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 1.0201e-02 sec\n", - "--- Collate = 6.3225e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 5.3131e-02 sec\n", + "--- Collate = 1.4011e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.262185e-07 < 6.250000e-03 [1107]\n", - "--- Max DT=9.290549e-01 > 1.000000e-01 [66872]\n", + "--- Min DT=9.029940e-07 < 6.250000e-03 [993]\n", + "--- Max DT=1.208509e+00 > 1.000000e-01 [68863]\n", "----------------------------------------------------------------------\n", - " Component | low: 1107/100000\n", - " Component | high: 66872/100000\n", + " Component | low: 993/100000\n", + " Component | high: 68863/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=63.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000929928 [ 0.61 %]\n", - "Velocity : 0.00334483 [ 2.21 %]\n", - "Force : 0.0568867 [ 37.56 %]\n", - "Coefs : 0.0224744 [ 14.84 %]\n", - "Output : 0.000884037 [ 0.58 %]\n", - "Levels : 0.000179558 [ 0.12 %]\n", - "Report : 8.12e-07 [ 0.00 %]\n", - "Balance : 1.74e-07 [ 0.00 %]\n", - "Adjust : 0.0667255 [ 44.05 %]\n", - "Total : 0.151471 [100.00 %]\n", + "Drift : 0.000568632 [ 0.02 %]\n", + "Velocity : 0.00352272 [ 0.12 %]\n", + "Force : 0.514942 [ 16.93 %]\n", + "Coefs : 1.84749 [ 60.73 %]\n", + "Output : 0.00139085 [ 0.05 %]\n", + "Levels : 0.000303728 [ 0.01 %]\n", + "Report : 1.212e-06 [ 0.00 %]\n", + "Balance : 2.44e-07 [ 0.00 %]\n", + "Adjust : 0.674007 [ 22.15 %]\n", + "Total : 3.04228 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5784 734 367 128 129 \n", - "1 : 5800 760 349 126 107 \n", - "2 : 5745 797 345 123 132 \n", - "3 : 5764 777 380 97 124 \n", - "4 : 5727 737 403 131 144 \n", - "5 : 5854 681 333 125 149 \n", - "6 : 5786 757 337 136 126 \n", - "7 : 5744 793 346 120 139 \n", - "8 : 5814 742 334 132 120 \n", - "9 : 5748 785 364 115 130 \n", - "10 : 5714 797 360 122 149 \n", - "11 : 5734 758 355 153 142 \n", - "12 : 5758 734 396 117 137 \n", - "13 : 5762 789 348 125 130 \n", + "0 : 5859 688 342 116 137 \n", + "1 : 5878 693 340 119 112 \n", + "2 : 5821 735 343 112 131 \n", + "3 : 5861 734 322 103 122 \n", + "4 : 5845 722 358 96 121 \n", + "5 : 5930 694 308 112 98 \n", + "6 : 5880 682 341 116 123 \n", + "7 : 5858 702 325 131 126 \n", + "8 : 5873 685 320 132 132 \n", + "9 : 5872 704 312 127 127 \n", + "10 : 5850 683 374 116 119 \n", + "11 : 5822 751 323 124 122 \n", + "12 : 5873 714 334 112 109 \n", + "13 : 5829 749 319 124 133 \n", "\n", - "T : 80734 10641 5017 1750 1858 [100000]\n", + "T : 82051 9936 4661 1640 1712 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.0245e-02 sec\n", - "--- Collate = 5.9145e-05 sec\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 5.1532e-02 sec\n", + "--- Collate = 1.2052e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.489491e-06 < 6.250000e-03 [1090]\n", - "--- Max DT=9.350473e-01 > 1.000000e-01 [66916]\n", + "--- Min DT=1.980305e-06 < 6.250000e-03 [1011]\n", + "--- Max DT=1.214772e+00 > 1.000000e-01 [68858]\n", "----------------------------------------------------------------------\n", - " Component | low: 1090/100000\n", - " Component | high: 66916/100000\n", + " Component | low: 1011/100000\n", + " Component | high: 68858/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=63.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00097387 [ 0.64 %]\n", - "Velocity : 0.00344265 [ 2.28 %]\n", - "Force : 0.0564903 [ 37.35 %]\n", - "Coefs : 0.0221744 [ 14.66 %]\n", - "Output : 0.000888968 [ 0.59 %]\n", - "Levels : 0.00023733 [ 0.16 %]\n", - "Report : 8.34e-07 [ 0.00 %]\n", - "Balance : 2.24e-07 [ 0.00 %]\n", - "Adjust : 0.0669911 [ 44.29 %]\n", - "Total : 0.15125 [100.00 %]\n", + "Drift : 0.00070785 [ 0.02 %]\n", + "Velocity : 0.0023856 [ 0.07 %]\n", + "Force : 0.61619 [ 18.07 %]\n", + "Coefs : 2.07587 [ 60.88 %]\n", + "Output : 0.001171 [ 0.03 %]\n", + "Levels : 0.000271178 [ 0.01 %]\n", + "Report : 9.42e-07 [ 0.00 %]\n", + "Balance : 3.15e-07 [ 0.00 %]\n", + "Adjust : 0.712922 [ 20.91 %]\n", + "Total : 3.40957 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5785 726 371 128 132 \n", - "1 : 5799 751 362 124 106 \n", - "2 : 5745 794 345 127 131 \n", - "3 : 5763 771 396 90 122 \n", - "4 : 5721 743 405 137 136 \n", - "5 : 5847 689 338 121 147 \n", - "6 : 5790 742 351 126 133 \n", - "7 : 5749 780 358 117 138 \n", - "8 : 5816 733 349 124 120 \n", - "9 : 5748 777 364 124 129 \n", - "10 : 5711 788 369 134 140 \n", - "11 : 5739 747 369 140 147 \n", - "12 : 5758 722 404 125 133 \n", - "13 : 5762 796 344 121 131 \n", + "0 : 5864 682 338 123 135 \n", + "1 : 5880 696 333 128 105 \n", + "2 : 5824 727 349 114 128 \n", + "3 : 5858 735 315 117 117 \n", + "4 : 5843 722 355 97 125 \n", + "5 : 5927 697 307 113 98 \n", + "6 : 5883 678 342 120 119 \n", + "7 : 5855 709 324 123 131 \n", + "8 : 5872 682 331 120 137 \n", + "9 : 5872 705 311 118 136 \n", + "10 : 5850 681 369 118 124 \n", + "11 : 5824 758 318 119 123 \n", + "12 : 5874 719 328 110 111 \n", + "13 : 5826 752 322 128 126 \n", "\n", - "T : 80733 10559 5125 1738 1845 [100000]\n", + "T : 82052 9943 4642 1648 1715 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 9.4882e-03 sec\n", - "--- Collate = 5.9470e-05 sec\n", + "--- Coef/DT = 30.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 5.6593e-02 sec\n", + "--- Collate = 7.0451e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.130996e-07 < 6.250000e-03 [1094]\n", - "--- Max DT=9.410450e-01 > 1.000000e-01 [66945]\n", + "--- Min DT=3.404425e-06 < 6.250000e-03 [1009]\n", + "--- Max DT=1.221039e+00 > 1.000000e-01 [68869]\n", "----------------------------------------------------------------------\n", - " Component | low: 1094/100000\n", - " Component | high: 66945/100000\n", + " Component | low: 1009/100000\n", + " Component | high: 68869/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=63.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000900462 [ 0.62 %]\n", - "Velocity : 0.00366923 [ 2.53 %]\n", - "Force : 0.0545554 [ 37.67 %]\n", - "Coefs : 0.0208977 [ 14.43 %]\n", - "Output : 0.000842635 [ 0.58 %]\n", - "Levels : 0.000180529 [ 0.12 %]\n", - "Report : 8.52e-07 [ 0.00 %]\n", - "Balance : 2.09e-07 [ 0.00 %]\n", - "Adjust : 0.0637238 [ 44.00 %]\n", - "Total : 0.144816 [100.00 %]\n", + "Drift : 0.000655144 [ 0.02 %]\n", + "Velocity : 0.00197166 [ 0.05 %]\n", + "Force : 0.638613 [ 16.05 %]\n", + "Coefs : 2.54186 [ 63.90 %]\n", + "Output : 0.000760871 [ 0.02 %]\n", + "Levels : 0.000270085 [ 0.01 %]\n", + "Report : 8.44e-07 [ 0.00 %]\n", + "Balance : 3.67e-07 [ 0.00 %]\n", + "Adjust : 0.7935 [ 19.95 %]\n", + "Total : 3.97768 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5787 728 366 125 136 \n", - "1 : 5789 755 369 120 109 \n", - "2 : 5742 795 343 132 130 \n", - "3 : 5764 763 400 104 111 \n", - "4 : 5732 731 404 136 139 \n", - "5 : 5854 687 326 137 138 \n", - "6 : 5793 737 353 126 133 \n", - "7 : 5752 762 373 122 133 \n", - "8 : 5816 733 340 126 127 \n", - "9 : 5749 779 361 123 130 \n", - "10 : 5721 770 381 131 139 \n", - "11 : 5747 736 376 136 147 \n", - "12 : 5751 723 408 131 129 \n", - "13 : 5757 806 340 114 137 \n", + "0 : 5859 687 334 130 132 \n", + "1 : 5881 702 329 127 103 \n", + "2 : 5821 724 349 119 129 \n", + "3 : 5863 730 312 113 124 \n", + "4 : 5845 721 349 106 121 \n", + "5 : 5925 704 306 102 105 \n", + "6 : 5883 674 347 123 115 \n", + "7 : 5855 711 322 121 133 \n", + "8 : 5869 688 330 124 131 \n", + "9 : 5870 706 315 112 139 \n", + "10 : 5844 695 357 120 126 \n", + "11 : 5819 760 327 114 122 \n", + "12 : 5874 724 317 114 113 \n", + "13 : 5831 740 326 129 128 \n", "\n", - "T : 80754 10505 5140 1763 1838 [100000]\n", + "T : 82039 9966 4620 1654 1721 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", - "--- Adj/Tot = 1.8%\n", - "--- Update = 9.5571e-03 sec\n", - "--- Collate = 6.1284e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 9.7611e-02 sec\n", + "--- Collate = 7.0265e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.980746e-06 < 6.250000e-03 [1089]\n", - "--- Max DT=9.470481e-01 > 1.000000e-01 [66950]\n", + "--- Min DT=1.577129e-06 < 6.250000e-03 [992]\n", + "--- Max DT=1.227310e+00 > 1.000000e-01 [68869]\n", "----------------------------------------------------------------------\n", - " Component | low: 1089/100000\n", - " Component | high: 66950/100000\n", + " Component | low: 992/100000\n", + " Component | high: 68869/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=63.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000886519 [ 0.62 %]\n", - "Velocity : 0.00357591 [ 2.50 %]\n", - "Force : 0.0535318 [ 37.35 %]\n", - "Coefs : 0.0202019 [ 14.10 %]\n", - "Output : 0.000864491 [ 0.60 %]\n", - "Levels : 0.000181713 [ 0.13 %]\n", - "Report : 6.34e-07 [ 0.00 %]\n", - "Balance : 1.84e-07 [ 0.00 %]\n", - "Adjust : 0.0640172 [ 44.67 %]\n", - "Total : 0.143309 [100.00 %]\n", + "Drift : 0.00047389 [ 0.01 %]\n", + "Velocity : 0.00208361 [ 0.06 %]\n", + "Force : 0.604303 [ 18.48 %]\n", + "Coefs : 1.93351 [ 59.12 %]\n", + "Output : 0.00123586 [ 0.04 %]\n", + "Levels : 0.000245738 [ 0.01 %]\n", + "Report : 8.18e-07 [ 0.00 %]\n", + "Balance : 4.01e-07 [ 0.00 %]\n", + "Adjust : 0.728532 [ 22.28 %]\n", + "Total : 3.27043 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5786 724 371 132 129 \n", - "1 : 5794 745 374 115 114 \n", - "2 : 5736 798 347 135 126 \n", - "3 : 5768 760 395 110 109 \n", - "4 : 5740 719 411 126 146 \n", - "5 : 5853 683 331 142 133 \n", - "6 : 5788 736 358 119 141 \n", - "7 : 5753 758 381 118 132 \n", - "8 : 5830 717 348 132 115 \n", - "9 : 5738 787 358 135 124 \n", - "10 : 5723 765 384 126 144 \n", - "11 : 5756 724 378 130 154 \n", - "12 : 5751 721 409 139 122 \n", - "13 : 5757 808 336 124 129 \n", + "0 : 5854 699 329 133 127 \n", + "1 : 5879 695 339 127 102 \n", + "2 : 5828 713 361 117 123 \n", + "3 : 5863 738 307 114 120 \n", + "4 : 5837 726 354 112 113 \n", + "5 : 5916 715 304 98 109 \n", + "6 : 5886 675 343 115 123 \n", + "7 : 5867 705 321 124 125 \n", + "8 : 5871 682 336 122 131 \n", + "9 : 5867 699 322 118 136 \n", + "10 : 5841 705 348 120 128 \n", + "11 : 5824 754 330 115 119 \n", + "12 : 5871 725 323 108 115 \n", + "13 : 5831 741 327 133 122 \n", "\n", - "T : 80773 10445 5181 1783 1818 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 82035 9972 4644 1656 1693 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.0%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.0012e-02 sec\n", - "--- Collate = 5.5103e-05 sec\n", + "--- Coef/DT = 25.5%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.6576e-02 sec\n", + "--- Collate = 6.0551e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.307738e-06 < 6.250000e-03 [1110]\n", - "--- Max DT=9.530566e-01 > 1.000000e-01 [66964]\n", + "--- Min DT=7.666364e-06 < 6.250000e-03 [1018]\n", + "--- Max DT=1.233586e+00 > 1.000000e-01 [68864]\n", "----------------------------------------------------------------------\n", - " Component | low: 1110/100000\n", - " Component | high: 66964/100000\n", + " Component | low: 1018/100000\n", + " Component | high: 68864/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=64] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000952204 [ 0.61 %]\n", - "Velocity : 0.00393479 [ 2.53 %]\n", - "Force : 0.0557218 [ 35.79 %]\n", - "Coefs : 0.0207571 [ 13.33 %]\n", - "Output : 0.00617066 [ 3.96 %]\n", - "Levels : 0.000174657 [ 0.11 %]\n", - "Report : 1.01e-06 [ 0.00 %]\n", - "Balance : 8.39e-07 [ 0.00 %]\n", - "Adjust : 0.0679443 [ 43.64 %]\n", - "Total : 0.15571 [100.00 %]\n", + "Drift : 0.000499538 [ 0.01 %]\n", + "Velocity : 0.00197997 [ 0.05 %]\n", + "Force : 0.6009 [ 15.60 %]\n", + "Coefs : 2.46354 [ 63.97 %]\n", + "Output : 0.0101567 [ 0.26 %]\n", + "Levels : 0.000248095 [ 0.01 %]\n", + "Report : 1.616e-06 [ 0.00 %]\n", + "Balance : 4.8e-07 [ 0.00 %]\n", + "Adjust : 0.773604 [ 20.09 %]\n", + "Total : 3.85097 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5783 729 369 122 139 \n", - "1 : 5792 745 370 120 115 \n", - "2 : 5738 788 361 129 126 \n", - "3 : 5767 750 403 122 100 \n", - "4 : 5745 705 409 139 144 \n", - "5 : 5860 671 339 146 126 \n", - "6 : 5785 740 356 114 147 \n", - "7 : 5753 754 378 131 126 \n", - "8 : 5828 730 336 133 115 \n", - "9 : 5733 778 378 131 122 \n", - "10 : 5718 760 389 130 145 \n", - "11 : 5759 718 381 132 152 \n", - "12 : 5756 710 413 138 125 \n", - "13 : 5757 808 338 121 130 \n", + "0 : 5862 690 325 138 127 \n", + "1 : 5877 693 343 125 104 \n", + "2 : 5826 713 369 105 129 \n", + "3 : 5858 739 310 120 115 \n", + "4 : 5844 725 350 115 108 \n", + "5 : 5916 711 303 95 117 \n", + "6 : 5883 676 333 123 127 \n", + "7 : 5865 708 324 126 119 \n", + "8 : 5861 688 342 123 128 \n", + "9 : 5865 695 325 124 133 \n", + "10 : 5843 704 342 123 130 \n", + "11 : 5822 756 327 122 115 \n", + "12 : 5868 727 324 108 115 \n", + "13 : 5833 739 331 133 118 \n", "\n", - "T : 80774 10386 5220 1808 1812 [100000]\n", + "T : 82023 9964 4648 1680 1685 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.4%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.0893e-02 sec\n", - "--- Collate = 7.8227e-05 sec\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 5.8131e-02 sec\n", + "--- Collate = 6.1107e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.705179e-06 < 6.250000e-03 [1133]\n", - "--- Max DT=9.590702e-01 > 1.000000e-01 [66987]\n", + "--- Min DT=9.223572e-07 < 6.250000e-03 [1019]\n", + "--- Max DT=1.239866e+00 > 1.000000e-01 [68874]\n", "----------------------------------------------------------------------\n", - " Component | low: 1133/100000\n", - " Component | high: 66987/100000\n", + " Component | low: 1019/100000\n", + " Component | high: 68874/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=64.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00109675 [ 0.64 %]\n", - "Velocity : 0.00429876 [ 2.52 %]\n", - "Force : 0.0645419 [ 37.83 %]\n", - "Coefs : 0.022702 [ 13.31 %]\n", - "Output : 0.000966272 [ 0.57 %]\n", - "Levels : 0.000196493 [ 0.12 %]\n", - "Report : 9.03e-07 [ 0.00 %]\n", - "Balance : 2.77e-07 [ 0.00 %]\n", - "Adjust : 0.07674 [ 44.98 %]\n", - "Total : 0.170601 [100.00 %]\n", + "Drift : 0.000729867 [ 0.02 %]\n", + "Velocity : 0.00227102 [ 0.06 %]\n", + "Force : 0.630004 [ 16.94 %]\n", + "Coefs : 2.31623 [ 62.26 %]\n", + "Output : 0.00111287 [ 0.03 %]\n", + "Levels : 0.00762312 [ 0.20 %]\n", + "Report : 8.47e-07 [ 0.00 %]\n", + "Balance : 3.64e-07 [ 0.00 %]\n", + "Adjust : 0.762049 [ 20.48 %]\n", + "Total : 3.72007 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5863 694 322 128 135 \n", + "1 : 5878 692 344 114 114 \n", + "2 : 5817 721 368 100 136 \n", + "3 : 5856 731 313 128 114 \n", + "4 : 5837 736 336 125 108 \n", + "5 : 5921 702 313 92 114 \n", + "6 : 5878 686 322 128 128 \n", + "7 : 5862 712 313 136 119 \n", + "8 : 5856 698 338 125 125 \n", + "9 : 5867 693 330 123 129 \n", + "10 : 5845 700 334 128 135 \n", + "11 : 5821 745 339 119 118 \n", + "12 : 5877 713 327 112 113 \n", + "13 : 5829 747 325 123 130 \n", + "\n", + "T : 82007 9970 4624 1681 1718 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", - "--- Level info--------------------------------------------------------\n", + "--- Timer info in comp, mlevel=4--------------------------------------\n", + "----------------------------------------------------------------------\n", + " COM: 2.325780e-04\n", + " Position: 2.202338e+01\n", + " --------------------------------------------------\n", + " *** fix pos : 1.124749e+01 \n", + " --------------------------------------------------\n", + " Ang mom: 3.379167e+00\n", + " Zero: 1.149511e-01\n", + " Accel: 3.491185e+00\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " Interaction: 3.808100e-04\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " External: 7.414020e-04\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " Expand: 1.864813e+02\n", + " Force: 3.609812e+00\n", + " Elapsed: 3.001192e+02\n", "----------------------------------------------------------------------\n", - "0 : 5777 728 368 128 141 \n", - "1 : 5797 731 369 128 117 \n", - "2 : 5739 790 358 120 135 \n", - "3 : 5760 757 391 133 101 \n", - "4 : 5741 714 407 137 143 \n", - "5 : 5856 674 349 130 133 \n", - "6 : 5783 742 347 120 150 \n", - "7 : 5755 734 400 126 127 \n", - "8 : 5830 732 325 131 124 \n", - "9 : 5733 771 388 123 127 \n", - "10 : 5723 754 394 129 142 \n", - "11 : 5752 718 386 132 154 \n", - "12 : 5757 706 399 154 126 \n", - "13 : 5765 802 333 127 127 \n", "\n", - "T : 80768 10353 5214 1818 1847 [100000]\n", + "mstep/Mstep=1/16\n", + "0 |89 1 |89 2 |177 3 |355 4 |711 \n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 1.0919e-02 sec\n", - "--- Collate = 8.0790e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.8561e-02 sec\n", + "--- Collate = 8.0400e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.707647e-06 < 6.250000e-03 [1148]\n", - "--- Max DT=9.650892e-01 > 1.000000e-01 [67016]\n", + "--- Min DT=1.302362e-06 < 6.250000e-03 [1042]\n", + "--- Max DT=1.246150e+00 > 1.000000e-01 [68871]\n", "----------------------------------------------------------------------\n", - " Component | low: 1148/100000\n", - " Component | high: 67016/100000\n", + " Component | low: 1042/100000\n", + " Component | high: 68871/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=64.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00100398 [ 0.61 %]\n", - "Velocity : 0.00377495 [ 2.28 %]\n", - "Force : 0.0603644 [ 36.53 %]\n", - "Coefs : 0.0232493 [ 14.07 %]\n", - "Output : 0.00154496 [ 0.93 %]\n", - "Levels : 0.000278287 [ 0.17 %]\n", - "Report : 1.889e-06 [ 0.00 %]\n", - "Balance : 3.82e-07 [ 0.00 %]\n", - "Adjust : 0.0749624 [ 45.37 %]\n", - "Total : 0.16524 [100.00 %]\n", + "Drift : 0.000544361 [ 0.01 %]\n", + "Velocity : 0.00239888 [ 0.05 %]\n", + "Force : 0.747271 [ 17.13 %]\n", + "Coefs : 2.73754 [ 62.76 %]\n", + "Output : 0.00142663 [ 0.03 %]\n", + "Levels : 0.000296168 [ 0.01 %]\n", + "Report : 8.52e-07 [ 0.00 %]\n", + "Balance : 2.79e-07 [ 0.00 %]\n", + "Adjust : 0.872193 [ 20.00 %]\n", + "Total : 4.36173 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5782 719 374 128 139 \n", - "1 : 5805 717 383 120 117 \n", - "2 : 5731 790 360 126 135 \n", - "3 : 5767 756 387 129 103 \n", - "4 : 5730 730 407 137 138 \n", - "5 : 5851 680 349 123 139 \n", - "6 : 5785 733 355 115 154 \n", - "7 : 5762 726 399 125 130 \n", - "8 : 5825 732 333 122 130 \n", - "9 : 5739 757 403 118 125 \n", - "10 : 5717 758 397 120 150 \n", - "11 : 5741 725 385 142 149 \n", - "12 : 5752 717 398 146 129 \n", - "13 : 5761 803 341 112 137 \n", + "0 : 5865 693 332 124 128 \n", + "1 : 5879 689 349 108 117 \n", + "2 : 5822 712 366 108 134 \n", + "3 : 5854 736 309 129 114 \n", + "4 : 5841 734 336 118 113 \n", + "5 : 5925 685 325 89 118 \n", + "6 : 5874 696 318 128 126 \n", + "7 : 5859 720 316 119 128 \n", + "8 : 5858 698 336 119 131 \n", + "9 : 5869 702 314 127 130 \n", + "10 : 5852 693 334 122 141 \n", + "11 : 5824 748 334 111 125 \n", + "12 : 5874 713 326 123 106 \n", + "13 : 5835 737 327 128 127 \n", "\n", - "T : 80748 10343 5271 1763 1875 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 82031 9956 4622 1653 1738 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.4%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 1.1182e-02 sec\n", - "--- Collate = 9.1290e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.9582e-02 sec\n", + "--- Collate = 6.9673e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.635029e-06 < 6.250000e-03 [1154]\n", - "--- Max DT=9.711133e-01 > 1.000000e-01 [67013]\n", + "--- Min DT=1.048554e-07 < 6.250000e-03 [1036]\n", + "--- Max DT=1.252439e+00 > 1.000000e-01 [68863]\n", "----------------------------------------------------------------------\n", - " Component | low: 1154/100000\n", - " Component | high: 67013/100000\n", + " Component | low: 1036/100000\n", + " Component | high: 68863/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=64.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000777566 [ 0.48 %]\n", - "Velocity : 0.00290495 [ 1.80 %]\n", - "Force : 0.0607041 [ 37.62 %]\n", - "Coefs : 0.0238941 [ 14.81 %]\n", - "Output : 0.00132647 [ 0.82 %]\n", - "Levels : 0.00031637 [ 0.20 %]\n", - "Report : 1.287e-06 [ 0.00 %]\n", - "Balance : 6.45e-07 [ 0.00 %]\n", - "Adjust : 0.0713744 [ 44.23 %]\n", - "Total : 0.161355 [100.00 %]\n", + "Drift : 0.000560105 [ 0.02 %]\n", + "Velocity : 0.00291387 [ 0.09 %]\n", + "Force : 0.522248 [ 16.62 %]\n", + "Coefs : 1.97193 [ 62.75 %]\n", + "Output : 0.00144705 [ 0.05 %]\n", + "Levels : 0.000705569 [ 0.02 %]\n", + "Report : 8.75e-07 [ 0.00 %]\n", + "Balance : 3.87e-07 [ 0.00 %]\n", + "Adjust : 0.642802 [ 20.45 %]\n", + "Total : 3.14267 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5787 712 369 142 132 \n", - "1 : 5800 719 392 112 119 \n", - "2 : 5731 790 362 118 141 \n", - "3 : 5766 757 382 129 108 \n", - "4 : 5732 728 408 141 133 \n", - "5 : 5848 677 356 116 145 \n", - "6 : 5792 723 352 122 153 \n", - "7 : 5763 720 401 127 131 \n", - "8 : 5825 727 344 118 128 \n", - "9 : 5732 759 407 114 130 \n", - "10 : 5713 769 393 116 151 \n", - "11 : 5736 732 383 135 156 \n", - "12 : 5747 719 406 127 143 \n", - "13 : 5760 801 347 112 134 \n", + "0 : 5857 709 326 121 129 \n", + "1 : 5877 692 341 114 118 \n", + "2 : 5826 701 371 107 137 \n", + "3 : 5856 735 307 129 115 \n", + "4 : 5836 745 333 108 120 \n", + "5 : 5926 693 323 84 116 \n", + "6 : 5882 689 318 130 123 \n", + "7 : 5868 716 314 120 124 \n", + "8 : 5858 703 334 115 132 \n", + "9 : 5868 699 317 122 136 \n", + "10 : 5852 697 335 117 141 \n", + "11 : 5827 738 331 121 125 \n", + "12 : 5876 720 322 123 101 \n", + "13 : 5830 744 329 125 126 \n", "\n", - "T : 80732 10333 5302 1729 1904 [100000]\n", + "T : 82039 9981 4601 1636 1743 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.0655e-02 sec\n", - "--- Collate = 7.7628e-05 sec\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 4.1480e-02 sec\n", + "--- Collate = 8.9524e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.214267e-06 < 6.250000e-03 [1175]\n", - "--- Max DT=9.771427e-01 > 1.000000e-01 [67055]\n", + "--- Min DT=4.129878e-07 < 6.250000e-03 [1018]\n", + "--- Max DT=1.258732e+00 > 1.000000e-01 [68875]\n", "----------------------------------------------------------------------\n", - " Component | low: 1175/100000\n", - " Component | high: 67055/100000\n", + " Component | low: 1018/100000\n", + " Component | high: 68875/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=64.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000843552 [ 0.54 %]\n", - "Velocity : 0.0022356 [ 1.44 %]\n", - "Force : 0.059823 [ 38.40 %]\n", - "Coefs : 0.0237545 [ 15.25 %]\n", - "Output : 0.000845793 [ 0.54 %]\n", - "Levels : 0.000239647 [ 0.15 %]\n", - "Report : 1.176e-06 [ 0.00 %]\n", - "Balance : 4.87e-07 [ 0.00 %]\n", - "Adjust : 0.0679679 [ 43.63 %]\n", - "Total : 0.155772 [100.00 %]\n", + "Drift : 0.000753274 [ 0.02 %]\n", + "Velocity : 0.0024346 [ 0.07 %]\n", + "Force : 0.636092 [ 17.04 %]\n", + "Coefs : 2.34189 [ 62.75 %]\n", + "Output : 0.00531497 [ 0.14 %]\n", + "Levels : 0.000326352 [ 0.01 %]\n", + "Report : 1.052e-06 [ 0.00 %]\n", + "Balance : 3.9e-07 [ 0.00 %]\n", + "Adjust : 0.74513 [ 19.97 %]\n", + "Total : 3.73199 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5771 730 365 141 135 \n", - "1 : 5809 705 399 106 123 \n", - "2 : 5735 771 381 116 139 \n", - "3 : 5765 748 385 126 118 \n", - "4 : 5724 737 408 133 140 \n", - "5 : 5855 658 372 110 147 \n", - "6 : 5792 722 354 131 143 \n", - "7 : 5767 721 395 126 133 \n", - "8 : 5825 717 353 120 127 \n", - "9 : 5726 754 417 111 134 \n", - "10 : 5715 755 405 114 153 \n", - "11 : 5747 715 390 142 148 \n", - "12 : 5741 723 403 130 145 \n", - "13 : 5771 793 341 109 140 \n", + "0 : 5846 722 323 116 135 \n", + "1 : 5878 686 344 117 117 \n", + "2 : 5825 707 368 106 136 \n", + "3 : 5860 732 309 118 123 \n", + "4 : 5836 743 340 105 118 \n", + "5 : 5925 691 324 96 106 \n", + "6 : 5870 696 324 136 116 \n", + "7 : 5870 708 321 115 128 \n", + "8 : 5855 714 332 107 134 \n", + "9 : 5864 703 314 127 134 \n", + "10 : 5854 696 332 122 138 \n", + "11 : 5820 745 335 121 121 \n", + "12 : 5875 721 321 115 110 \n", + "13 : 5834 739 334 115 132 \n", "\n", - "T : 80743 10249 5368 1715 1925 [100000]\n", + "T : 82012 10003 4621 1616 1748 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.1295e-02 sec\n", - "--- Collate = 7.6501e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.6345e-02 sec\n", + "--- Collate = 7.0209e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.850612e-06 < 6.250000e-03 [1157]\n", - "--- Max DT=9.831772e-01 > 1.000000e-01 [67076]\n", + "--- Min DT=2.106156e-06 < 6.250000e-03 [1052]\n", + "--- Max DT=1.265029e+00 > 1.000000e-01 [68879]\n", "----------------------------------------------------------------------\n", - " Component | low: 1157/100000\n", - " Component | high: 67076/100000\n", + " Component | low: 1052/100000\n", + " Component | high: 68879/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=64.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000637224 [ 0.41 %]\n", - "Velocity : 0.00254703 [ 1.63 %]\n", - "Force : 0.0570849 [ 36.50 %]\n", - "Coefs : 0.024771 [ 15.84 %]\n", - "Output : 0.000914858 [ 0.58 %]\n", - "Levels : 0.000220152 [ 0.14 %]\n", - "Report : 1.3278e-05 [ 0.01 %]\n", - "Balance : 5.99e-07 [ 0.00 %]\n", - "Adjust : 0.0701543 [ 44.86 %]\n", - "Total : 0.156395 [100.00 %]\n", + "Drift : 0.00048163 [ 0.01 %]\n", + "Velocity : 0.00202408 [ 0.06 %]\n", + "Force : 0.571875 [ 16.56 %]\n", + "Coefs : 2.11227 [ 61.18 %]\n", + "Output : 0.00109652 [ 0.03 %]\n", + "Levels : 0.000242196 [ 0.01 %]\n", + "Report : 9.37e-07 [ 0.00 %]\n", + "Balance : 3.49e-07 [ 0.00 %]\n", + "Adjust : 0.764476 [ 22.14 %]\n", + "Total : 3.45252 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5776 732 359 142 133 \n", - "1 : 5803 703 408 113 115 \n", - "2 : 5723 783 387 114 135 \n", - "3 : 5763 754 375 129 121 \n", - "4 : 5729 731 417 122 143 \n", - "5 : 5847 664 376 113 142 \n", - "6 : 5795 712 360 128 147 \n", - "7 : 5773 716 401 120 132 \n", - "8 : 5828 718 341 128 127 \n", - "9 : 5730 736 426 122 128 \n", - "10 : 5719 747 416 103 157 \n", - "11 : 5758 706 389 139 150 \n", - "12 : 5734 731 411 121 145 \n", - "13 : 5759 804 345 106 140 \n", + "0 : 5836 742 314 111 139 \n", + "1 : 5879 686 341 114 122 \n", + "2 : 5828 700 366 119 129 \n", + "3 : 5867 724 305 114 132 \n", + "4 : 5837 737 340 98 130 \n", + "5 : 5926 694 323 97 102 \n", + "6 : 5867 696 328 130 121 \n", + "7 : 5866 706 327 119 124 \n", + "8 : 5849 729 323 106 135 \n", + "9 : 5860 706 319 124 133 \n", + "10 : 5858 688 330 133 133 \n", + "11 : 5823 738 337 119 125 \n", + "12 : 5877 721 318 115 111 \n", + "13 : 5829 744 335 109 137 \n", "\n", - "T : 80737 10237 5411 1700 1915 [100000]\n", + "T : 82002 10011 4606 1608 1773 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.6%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0827e-02 sec\n", - "--- Collate = 7.8094e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 6.0651e-02 sec\n", + "--- Collate = 1.5020e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.270653e-06 < 6.250000e-03 [1161]\n", - "--- Max DT=9.892169e-01 > 1.000000e-01 [67108]\n", + "--- Min DT=1.698421e-06 < 6.250000e-03 [1070]\n", + "--- Max DT=1.271330e+00 > 1.000000e-01 [68864]\n", "----------------------------------------------------------------------\n", - " Component | low: 1161/100000\n", - " Component | high: 67108/100000\n", + " Component | low: 1070/100000\n", + " Component | high: 68864/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=64.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000650323 [ 0.42 %]\n", - "Velocity : 0.00236717 [ 1.52 %]\n", - "Force : 0.0581886 [ 37.31 %]\n", - "Coefs : 0.0237726 [ 15.24 %]\n", - "Output : 0.00100468 [ 0.64 %]\n", - "Levels : 0.000251706 [ 0.16 %]\n", - "Report : 1.218e-06 [ 0.00 %]\n", - "Balance : 5.07e-07 [ 0.00 %]\n", - "Adjust : 0.0696549 [ 44.67 %]\n", - "Total : 0.155946 [100.00 %]\n", - "----------------------------------------------------------------------\n", - "\n", - "----------------------------------------------------------------------\n", - "--- Level info--------------------------------------------------------\n", - "----------------------------------------------------------------------\n", - "0 : 5765 742 362 139 134 \n", - "1 : 5807 690 417 114 114 \n", - "2 : 5725 778 390 108 141 \n", - "3 : 5766 749 372 130 125 \n", - "4 : 5729 739 411 132 131 \n", - "5 : 5839 676 375 108 144 \n", - "6 : 5793 723 351 122 153 \n", - "7 : 5773 717 398 126 128 \n", - "8 : 5835 702 345 132 128 \n", - "9 : 5730 739 426 120 127 \n", - "10 : 5726 745 399 116 156 \n", - "11 : 5743 713 397 140 149 \n", - "12 : 5738 723 409 126 146 \n", - "13 : 5756 810 334 117 137 \n", - "\n", - "T : 80725 10246 5386 1730 1913 [100000]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000507305 [ 0.01 %]\n", + "Velocity : 0.00151917 [ 0.04 %]\n", + "Force : 0.546133 [ 15.59 %]\n", + "Coefs : 2.17916 [ 62.21 %]\n", + "Output : 0.000924894 [ 0.03 %]\n", + "Levels : 0.000270731 [ 0.01 %]\n", + "Report : 1.082e-06 [ 0.00 %]\n", + "Balance : 4.79e-07 [ 0.00 %]\n", + "Adjust : 0.774135 [ 22.10 %]\n", + "Total : 3.5027 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5830 753 311 109 139 \n", + "1 : 5871 697 336 113 125 \n", + "2 : 5822 707 369 123 121 \n", + "3 : 5863 719 308 114 138 \n", + "4 : 5834 739 335 108 126 \n", + "5 : 5928 695 325 98 96 \n", + "6 : 5872 697 317 135 121 \n", + "7 : 5866 719 313 124 120 \n", + "8 : 5840 732 320 119 131 \n", + "9 : 5864 698 316 128 136 \n", + "10 : 5857 690 322 142 131 \n", + "11 : 5822 737 332 122 129 \n", + "12 : 5876 720 320 110 116 \n", + "13 : 5831 746 332 112 133 \n", + "\n", + "T : 81976 10049 4556 1657 1762 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0219e-02 sec\n", - "--- Collate = 8.2762e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.7538e-02 sec\n", + "--- Collate = 8.0283e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.044148e-07 < 6.250000e-03 [1170]\n", - "--- Max DT=9.952617e-01 > 1.000000e-01 [67139]\n", + "--- Min DT=1.017047e-05 < 6.250000e-03 [1069]\n", + "--- Max DT=1.277635e+00 > 1.000000e-01 [68863]\n", "----------------------------------------------------------------------\n", - " Component | low: 1170/100000\n", - " Component | high: 67139/100000\n", + " Component | low: 1069/100000\n", + " Component | high: 68863/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=64.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000627418 [ 0.41 %]\n", - "Velocity : 0.00248399 [ 1.62 %]\n", - "Force : 0.0580842 [ 37.91 %]\n", - "Coefs : 0.0239664 [ 15.64 %]\n", - "Output : 0.000820529 [ 0.54 %]\n", - "Levels : 0.000217542 [ 0.14 %]\n", - "Report : 1.15e-06 [ 0.00 %]\n", - "Balance : 5.59e-07 [ 0.00 %]\n", - "Adjust : 0.0669439 [ 43.70 %]\n", - "Total : 0.153199 [100.00 %]\n", + "Drift : 0.000550308 [ 0.02 %]\n", + "Velocity : 0.00181558 [ 0.05 %]\n", + "Force : 0.596186 [ 16.87 %]\n", + "Coefs : 2.16127 [ 61.15 %]\n", + "Output : 0.000947748 [ 0.03 %]\n", + "Levels : 0.000252986 [ 0.01 %]\n", + "Report : 8.11e-07 [ 0.00 %]\n", + "Balance : 4.11e-07 [ 0.00 %]\n", + "Adjust : 0.773469 [ 21.88 %]\n", + "Total : 3.53454 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5775 732 365 133 137 \n", - "1 : 5796 707 416 109 114 \n", - "2 : 5723 775 395 113 136 \n", - "3 : 5754 758 368 129 133 \n", - "4 : 5726 731 423 127 135 \n", - "5 : 5837 678 384 105 138 \n", - "6 : 5805 705 363 115 154 \n", - "7 : 5769 708 409 127 129 \n", - "8 : 5831 711 335 136 129 \n", - "9 : 5728 738 421 134 121 \n", - "10 : 5729 744 392 123 154 \n", - "11 : 5748 709 401 143 141 \n", - "12 : 5737 724 408 126 147 \n", - "13 : 5758 804 336 119 137 \n", + "0 : 5829 755 307 119 132 \n", + "1 : 5868 698 335 118 123 \n", + "2 : 5822 712 357 130 121 \n", + "3 : 5859 722 308 124 129 \n", + "4 : 5838 726 345 104 129 \n", + "5 : 5931 695 323 100 93 \n", + "6 : 5873 698 322 130 119 \n", + "7 : 5864 726 310 117 125 \n", + "8 : 5841 732 322 116 131 \n", + "9 : 5868 696 319 124 135 \n", + "10 : 5850 704 326 119 143 \n", + "11 : 5827 738 319 133 125 \n", + "12 : 5876 712 329 107 118 \n", + "13 : 5829 764 317 103 141 \n", "\n", - "T : 80716 10224 5416 1739 1905 [100000]\n", + "T : 81975 10078 4539 1644 1764 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 1.0867e-02 sec\n", - "--- Collate = 7.6292e-05 sec\n", + "--- Coef/DT = 3.8%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 4.3627e-02 sec\n", + "--- Collate = 8.0349e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.023352e-06 < 6.250000e-03 [1173]\n", - "--- Max DT=1.001312e+00 > 1.000000e-01 [67162]\n", + "--- Min DT=5.299425e-07 < 6.250000e-03 [1083]\n", + "--- Max DT=1.283945e+00 > 1.000000e-01 [68876]\n", "----------------------------------------------------------------------\n", - " Component | low: 1173/100000\n", - " Component | high: 67162/100000\n", + " Component | low: 1083/100000\n", + " Component | high: 68876/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=64.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000892804 [ 0.58 %]\n", - "Velocity : 0.00294127 [ 1.91 %]\n", - "Force : 0.0562623 [ 36.62 %]\n", - "Coefs : 0.0235266 [ 15.31 %]\n", - "Output : 0.000785847 [ 0.51 %]\n", - "Levels : 0.000208172 [ 0.14 %]\n", - "Report : 1.217e-06 [ 0.00 %]\n", - "Balance : 5.11e-07 [ 0.00 %]\n", - "Adjust : 0.0689696 [ 44.89 %]\n", - "Total : 0.153643 [100.00 %]\n", + "Drift : 0.000475729 [ 0.02 %]\n", + "Velocity : 0.00169787 [ 0.05 %]\n", + "Force : 0.554146 [ 17.67 %]\n", + "Coefs : 1.92656 [ 61.42 %]\n", + "Output : 0.000863878 [ 0.03 %]\n", + "Levels : 0.000237988 [ 0.01 %]\n", + "Report : 8.16e-07 [ 0.00 %]\n", + "Balance : 4.12e-07 [ 0.00 %]\n", + "Adjust : 0.652616 [ 20.81 %]\n", + "Total : 3.13665 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5768 739 358 137 140 \n", - "1 : 5796 700 418 114 114 \n", - "2 : 5732 763 395 114 138 \n", - "3 : 5760 752 372 119 139 \n", - "4 : 5718 737 424 120 143 \n", - "5 : 5830 682 391 103 136 \n", - "6 : 5807 702 369 109 155 \n", - "7 : 5769 712 404 124 133 \n", - "8 : 5831 707 333 139 132 \n", - "9 : 5726 732 421 138 125 \n", - "10 : 5728 738 396 130 150 \n", - "11 : 5745 711 411 138 137 \n", - "12 : 5741 709 422 122 148 \n", - "13 : 5757 804 334 125 134 \n", + "0 : 5831 746 308 131 126 \n", + "1 : 5868 699 332 125 118 \n", + "2 : 5818 716 357 130 121 \n", + "3 : 5852 726 307 126 131 \n", + "4 : 5838 737 332 109 126 \n", + "5 : 5931 696 321 104 90 \n", + "6 : 5869 699 331 121 122 \n", + "7 : 5857 734 310 115 126 \n", + "8 : 5847 729 320 114 132 \n", + "9 : 5867 701 308 127 139 \n", + "10 : 5855 706 321 119 141 \n", + "11 : 5830 738 318 130 126 \n", + "12 : 5878 703 338 106 117 \n", + "13 : 5829 773 309 106 137 \n", "\n", - "T : 80708 10188 5448 1732 1924 [100000]\n", + "T : 81970 10103 4512 1663 1752 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.0656e-02 sec\n", - "--- Collate = 9.4043e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 5.3643e-02 sec\n", + "--- Collate = 1.4018e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.793074e-06 < 6.250000e-03 [1149]\n", - "--- Max DT=1.007367e+00 > 1.000000e-01 [67204]\n", + "--- Min DT=1.470687e-08 < 6.250000e-03 [1076]\n", + "--- Max DT=1.290258e+00 > 1.000000e-01 [68878]\n", "----------------------------------------------------------------------\n", - " Component | low: 1149/100000\n", - " Component | high: 67204/100000\n", + " Component | low: 1076/100000\n", + " Component | high: 68878/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=64.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000613717 [ 0.40 %]\n", - "Velocity : 0.00204939 [ 1.32 %]\n", - "Force : 0.0585142 [ 37.68 %]\n", - "Coefs : 0.0244275 [ 15.73 %]\n", - "Output : 0.000899561 [ 0.58 %]\n", - "Levels : 0.00020867 [ 0.13 %]\n", - "Report : 1.429e-06 [ 0.00 %]\n", - "Balance : 4.81e-07 [ 0.00 %]\n", - "Adjust : 0.0685431 [ 44.13 %]\n", - "Total : 0.155308 [100.00 %]\n", + "Drift : 0.000446482 [ 0.01 %]\n", + "Velocity : 0.0016309 [ 0.05 %]\n", + "Force : 0.643013 [ 18.52 %]\n", + "Coefs : 2.08914 [ 60.16 %]\n", + "Output : 0.000949254 [ 0.03 %]\n", + "Levels : 0.00027729 [ 0.01 %]\n", + "Report : 1.3e-06 [ 0.00 %]\n", + "Balance : 5.28e-07 [ 0.00 %]\n", + "Adjust : 0.737082 [ 21.23 %]\n", + "Total : 3.47259 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5770 726 371 135 140 \n", - "1 : 5794 689 421 132 106 \n", - "2 : 5730 759 397 125 131 \n", - "3 : 5755 749 375 117 146 \n", - "4 : 5710 733 445 115 139 \n", - "5 : 5827 679 394 111 131 \n", - "6 : 5811 692 371 122 146 \n", - "7 : 5765 710 406 130 131 \n", - "8 : 5837 700 334 147 124 \n", - "9 : 5721 728 438 135 120 \n", - "10 : 5732 734 385 139 152 \n", - "11 : 5749 712 404 144 133 \n", - "12 : 5733 711 432 121 145 \n", - "13 : 5755 797 343 128 131 \n", + "0 : 5834 733 314 129 132 \n", + "1 : 5867 693 335 125 122 \n", + "2 : 5818 714 365 120 125 \n", + "3 : 5856 723 301 129 133 \n", + "4 : 5832 739 332 109 130 \n", + "5 : 5923 698 327 97 97 \n", + "6 : 5864 707 332 116 123 \n", + "7 : 5861 734 306 119 122 \n", + "8 : 5843 732 319 113 135 \n", + "9 : 5867 693 312 131 139 \n", + "10 : 5861 694 329 110 148 \n", + "11 : 5828 738 333 108 135 \n", + "12 : 5878 701 335 104 124 \n", + "13 : 5838 754 322 108 132 \n", "\n", - "T : 80689 10119 5516 1801 1875 [100000]\n", + "T : 81970 10053 4562 1618 1797 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.0571e-02 sec\n", - "--- Collate = 6.5844e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 6.4460e-02 sec\n", + "--- Collate = 1.3026e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.648064e-06 < 6.250000e-03 [1122]\n", - "--- Max DT=1.013427e+00 > 1.000000e-01 [67230]\n", + "--- Min DT=5.882202e-06 < 6.250000e-03 [1076]\n", + "--- Max DT=1.296576e+00 > 1.000000e-01 [68877]\n", "----------------------------------------------------------------------\n", - " Component | low: 1122/100000\n", - " Component | high: 67230/100000\n", + " Component | low: 1076/100000\n", + " Component | high: 68877/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=65] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00057571 [ 0.36 %]\n", - "Velocity : 0.00205726 [ 1.30 %]\n", - "Force : 0.0582878 [ 36.80 %]\n", - "Coefs : 0.0239119 [ 15.10 %]\n", - "Output : 0.00475871 [ 3.00 %]\n", - "Levels : 0.000221794 [ 0.14 %]\n", - "Report : 1.497e-06 [ 0.00 %]\n", - "Balance : 5.99e-07 [ 0.00 %]\n", - "Adjust : 0.0685098 [ 43.26 %]\n", - "Total : 0.158371 [100.00 %]\n", + "Drift : 0.000537909 [ 0.02 %]\n", + "Velocity : 0.00233959 [ 0.07 %]\n", + "Force : 0.5127 [ 15.47 %]\n", + "Coefs : 2.0965 [ 63.27 %]\n", + "Output : 0.0095129 [ 0.29 %]\n", + "Levels : 0.000262538 [ 0.01 %]\n", + "Report : 1.364e-06 [ 0.00 %]\n", + "Balance : 4.17e-07 [ 0.00 %]\n", + "Adjust : 0.691697 [ 20.87 %]\n", + "Total : 3.3136 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5766 721 383 127 145 \n", - "1 : 5790 689 417 133 113 \n", - "2 : 5734 749 408 128 123 \n", - "3 : 5748 753 381 113 147 \n", - "4 : 5714 722 453 124 129 \n", - "5 : 5821 680 398 116 127 \n", - "6 : 5812 692 368 128 142 \n", - "7 : 5767 707 402 131 135 \n", - "8 : 5830 704 338 154 116 \n", - "9 : 5721 740 429 135 117 \n", - "10 : 5729 740 394 128 151 \n", - "11 : 5750 724 393 150 125 \n", - "12 : 5734 703 429 130 146 \n", - "13 : 5753 788 346 133 134 \n", + "0 : 5832 733 323 122 132 \n", + "1 : 5861 698 340 118 125 \n", + "2 : 5815 716 355 125 131 \n", + "3 : 5851 729 302 125 135 \n", + "4 : 5833 735 335 109 130 \n", + "5 : 5935 692 327 95 93 \n", + "6 : 5866 713 325 115 123 \n", + "7 : 5857 746 297 121 121 \n", + "8 : 5843 740 317 108 134 \n", + "9 : 5868 692 316 125 141 \n", + "10 : 5863 692 321 113 153 \n", + "11 : 5834 730 334 110 134 \n", + "12 : 5881 696 330 110 125 \n", + "13 : 5841 755 316 117 125 \n", "\n", - "T : 80669 10112 5539 1830 1850 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81980 10067 4538 1613 1802 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.1313e-02 sec\n", - "--- Collate = 6.3418e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 4.8548e-02 sec\n", + "--- Collate = 8.0210e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.052705e-06 < 6.250000e-03 [1075]\n", - "--- Max DT=1.019492e+00 > 1.000000e-01 [67261]\n", + "--- Min DT=1.254498e-05 < 6.250000e-03 [1070]\n", + "--- Max DT=1.302898e+00 > 1.000000e-01 [68872]\n", "----------------------------------------------------------------------\n", - " Component | low: 1075/100000\n", - " Component | high: 67261/100000\n", + " Component | low: 1070/100000\n", + " Component | high: 68872/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=65.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00060594 [ 0.38 %]\n", - "Velocity : 0.00262262 [ 1.65 %]\n", - "Force : 0.0595217 [ 37.55 %]\n", - "Coefs : 0.0236956 [ 14.95 %]\n", - "Output : 0.000974587 [ 0.61 %]\n", - "Levels : 0.000197525 [ 0.12 %]\n", - "Report : 1.205e-06 [ 0.00 %]\n", - "Balance : 4.65e-07 [ 0.00 %]\n", - "Adjust : 0.0708236 [ 44.68 %]\n", - "Total : 0.158502 [100.00 %]\n", + "Drift : 0.000708661 [ 0.02 %]\n", + "Velocity : 0.00233381 [ 0.08 %]\n", + "Force : 0.539035 [ 17.59 %]\n", + "Coefs : 1.87537 [ 61.18 %]\n", + "Output : 0.00107808 [ 0.04 %]\n", + "Levels : 0.000246394 [ 0.01 %]\n", + "Report : 5.36e-07 [ 0.00 %]\n", + "Balance : 2.29e-07 [ 0.00 %]\n", + "Adjust : 0.646471 [ 21.09 %]\n", + "Total : 3.06529 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5777 718 374 123 150 \n", - "1 : 5783 708 393 138 120 \n", - "2 : 5739 743 408 127 125 \n", - "3 : 5748 749 387 106 152 \n", - "4 : 5716 715 447 131 133 \n", - "5 : 5815 679 414 116 118 \n", - "6 : 5818 679 375 132 138 \n", - "7 : 5774 693 414 134 127 \n", - "8 : 5823 708 343 156 112 \n", - "9 : 5716 746 421 141 118 \n", - "10 : 5722 750 391 138 141 \n", - "11 : 5746 731 386 155 124 \n", - "12 : 5732 700 441 132 137 \n", - "13 : 5760 771 359 133 131 \n", + "0 : 5828 738 321 120 135 \n", + "1 : 5863 701 335 113 130 \n", + "2 : 5809 719 354 129 131 \n", + "3 : 5855 724 307 125 131 \n", + "4 : 5838 733 329 115 127 \n", + "5 : 5934 693 319 103 93 \n", + "6 : 5863 714 327 114 124 \n", + "7 : 5861 732 309 118 122 \n", + "8 : 5844 736 324 105 133 \n", + "9 : 5870 688 329 118 137 \n", + "10 : 5861 693 322 112 154 \n", + "11 : 5831 730 333 104 144 \n", + "12 : 5881 694 330 115 122 \n", + "13 : 5841 752 315 121 125 \n", "\n", - "T : 80669 10090 5553 1862 1826 [100000]\n", + "T : 81979 10047 4554 1612 1808 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.0677e-02 sec\n", - "--- Collate = 6.7316e-05 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 5.2664e-02 sec\n", + "--- Collate = 7.0116e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.135481e-06 < 6.250000e-03 [1082]\n", - "--- Max DT=1.025562e+00 > 1.000000e-01 [67285]\n", + "--- Min DT=7.286312e-06 < 6.250000e-03 [1074]\n", + "--- Max DT=1.309224e+00 > 1.000000e-01 [68876]\n", "----------------------------------------------------------------------\n", - " Component | low: 1082/100000\n", - " Component | high: 67285/100000\n", + " Component | low: 1074/100000\n", + " Component | high: 68876/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=65.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000603172 [ 0.39 %]\n", - "Velocity : 0.00236282 [ 1.53 %]\n", - "Force : 0.0583599 [ 37.84 %]\n", - "Coefs : 0.0235171 [ 15.25 %]\n", - "Output : 0.00120216 [ 0.78 %]\n", - "Levels : 0.000226222 [ 0.15 %]\n", - "Report : 1.16e-06 [ 0.00 %]\n", - "Balance : 5.16e-07 [ 0.00 %]\n", - "Adjust : 0.0679094 [ 44.03 %]\n", - "Total : 0.154237 [100.00 %]\n", + "Drift : 0.000624125 [ 0.02 %]\n", + "Velocity : 0.00204503 [ 0.06 %]\n", + "Force : 0.550264 [ 16.36 %]\n", + "Coefs : 2.16219 [ 64.28 %]\n", + "Output : 0.00102063 [ 0.03 %]\n", + "Levels : 0.000281893 [ 0.01 %]\n", + "Report : 1.163e-06 [ 0.00 %]\n", + "Balance : 3.49e-07 [ 0.00 %]\n", + "Adjust : 0.647246 [ 19.24 %]\n", + "Total : 3.36372 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5770 730 369 126 147 \n", - "1 : 5784 704 396 136 122 \n", - "2 : 5739 739 407 137 120 \n", - "3 : 5742 757 386 116 141 \n", - "4 : 5717 714 441 139 131 \n", - "5 : 5814 667 426 122 113 \n", - "6 : 5823 667 382 132 138 \n", - "7 : 5776 688 413 141 124 \n", - "8 : 5818 715 349 153 107 \n", - "9 : 5727 727 432 140 116 \n", - "10 : 5722 749 396 134 141 \n", - "11 : 5750 710 408 139 135 \n", - "12 : 5740 689 437 144 132 \n", - "13 : 5766 750 370 129 139 \n", + "0 : 5825 747 316 121 133 \n", + "1 : 5865 702 334 110 131 \n", + "2 : 5808 726 360 115 133 \n", + "3 : 5860 718 309 124 131 \n", + "4 : 5838 733 325 130 116 \n", + "5 : 5930 696 320 101 95 \n", + "6 : 5865 711 329 110 127 \n", + "7 : 5860 730 318 111 123 \n", + "8 : 5843 739 324 103 133 \n", + "9 : 5870 685 327 126 134 \n", + "10 : 5858 699 318 120 147 \n", + "11 : 5822 741 329 112 138 \n", + "12 : 5880 692 338 122 110 \n", + "13 : 5838 749 323 120 124 \n", "\n", - "T : 80688 10006 5612 1888 1806 [100000]\n", + "T : 81962 10068 4570 1625 1775 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0572e-02 sec\n", - "--- Collate = 6.6135e-05 sec\n", + "--- Coef/DT = 16.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 8.0602e-02 sec\n", + "--- Collate = 2.7999e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.500936e-06 < 6.250000e-03 [1091]\n", - "--- Max DT=1.031636e+00 > 1.000000e-01 [67313]\n", + "--- Min DT=1.137316e-06 < 6.250000e-03 [1065]\n", + "--- Max DT=1.315554e+00 > 1.000000e-01 [68865]\n", "----------------------------------------------------------------------\n", - " Component | low: 1091/100000\n", - " Component | high: 67313/100000\n", + " Component | low: 1065/100000\n", + " Component | high: 68865/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=65.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000787272 [ 0.52 %]\n", - "Velocity : 0.00217343 [ 1.43 %]\n", - "Force : 0.0565764 [ 37.13 %]\n", - "Coefs : 0.0235733 [ 15.47 %]\n", - "Output : 0.000819474 [ 0.54 %]\n", - "Levels : 0.000237024 [ 0.16 %]\n", - "Report : 1.107e-06 [ 0.00 %]\n", - "Balance : 4.39e-07 [ 0.00 %]\n", - "Adjust : 0.068151 [ 44.73 %]\n", - "Total : 0.152364 [100.00 %]\n", + "Drift : 0.000665784 [ 0.02 %]\n", + "Velocity : 0.00213225 [ 0.06 %]\n", + "Force : 0.56228 [ 14.97 %]\n", + "Coefs : 2.39473 [ 63.77 %]\n", + "Output : 0.00117721 [ 0.03 %]\n", + "Levels : 0.000248988 [ 0.01 %]\n", + "Report : 6.67e-07 [ 0.00 %]\n", + "Balance : 2.85e-07 [ 0.00 %]\n", + "Adjust : 0.793832 [ 21.14 %]\n", + "Total : 3.75512 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5776 732 357 128 149 \n", - "1 : 5787 695 396 132 132 \n", - "2 : 5738 738 411 133 122 \n", - "3 : 5745 752 388 122 135 \n", - "4 : 5720 718 436 145 123 \n", - "5 : 5809 680 415 125 113 \n", - "6 : 5831 660 388 122 141 \n", - "7 : 5785 683 413 135 126 \n", - "8 : 5814 719 354 141 114 \n", - "9 : 5731 709 434 141 127 \n", - "10 : 5728 748 393 124 149 \n", - "11 : 5752 704 405 141 140 \n", - "12 : 5747 682 439 141 133 \n", - "13 : 5767 743 382 124 138 \n", + "0 : 5817 755 318 126 126 \n", + "1 : 5865 709 325 115 128 \n", + "2 : 5804 730 364 112 132 \n", + "3 : 5855 718 313 120 136 \n", + "4 : 5838 731 330 132 111 \n", + "5 : 5925 705 311 99 102 \n", + "6 : 5862 707 326 116 131 \n", + "7 : 5864 721 326 109 122 \n", + "8 : 5844 738 325 103 132 \n", + "9 : 5861 693 324 123 141 \n", + "10 : 5859 700 314 124 145 \n", + "11 : 5824 743 326 110 139 \n", + "12 : 5878 688 346 126 104 \n", + "13 : 5839 748 328 115 124 \n", "\n", - "T : 80730 9963 5611 1854 1842 [100000]\n", + "T : 81935 10086 4576 1630 1773 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.1528e-02 sec\n", - "--- Collate = 7.1514e-05 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.9608e-02 sec\n", + "--- Collate = 1.4030e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.452449e-06 < 6.250000e-03 [1109]\n", - "--- Max DT=1.037716e+00 > 1.000000e-01 [67324]\n", + "--- Min DT=2.149099e-06 < 6.250000e-03 [1092]\n", + "--- Max DT=1.321889e+00 > 1.000000e-01 [68873]\n", "----------------------------------------------------------------------\n", - " Component | low: 1109/100000\n", - " Component | high: 67324/100000\n", + " Component | low: 1092/100000\n", + " Component | high: 68873/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=65.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00070605 [ 0.45 %]\n", - "Velocity : 0.00276108 [ 1.75 %]\n", - "Force : 0.0573611 [ 36.37 %]\n", - "Coefs : 0.0231062 [ 14.65 %]\n", - "Output : 0.00142699 [ 0.90 %]\n", - "Levels : 0.000191194 [ 0.12 %]\n", - "Report : 1.097e-06 [ 0.00 %]\n", - "Balance : 4.51e-07 [ 0.00 %]\n", - "Adjust : 0.0720891 [ 45.71 %]\n", - "Total : 0.157701 [100.00 %]\n", + "Drift : 0.000543284 [ 0.02 %]\n", + "Velocity : 0.00234057 [ 0.07 %]\n", + "Force : 0.509828 [ 16.08 %]\n", + "Coefs : 2.01797 [ 63.63 %]\n", + "Output : 0.00106978 [ 0.03 %]\n", + "Levels : 0.000252322 [ 0.01 %]\n", + "Report : 8.94e-07 [ 0.00 %]\n", + "Balance : 2.53e-07 [ 0.00 %]\n", + "Adjust : 0.639499 [ 20.16 %]\n", + "Total : 3.17155 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5771 731 359 132 149 \n", - "1 : 5784 695 397 140 126 \n", - "2 : 5747 726 406 128 135 \n", - "3 : 5742 751 389 129 131 \n", - "4 : 5715 718 433 143 133 \n", - "5 : 5814 680 412 126 110 \n", - "6 : 5823 668 377 133 141 \n", - "7 : 5788 679 404 137 134 \n", - "8 : 5815 720 352 142 113 \n", - "9 : 5723 720 429 142 128 \n", - "10 : 5729 753 387 128 145 \n", - "11 : 5745 706 415 137 139 \n", - "12 : 5752 679 427 151 133 \n", - "13 : 5769 742 371 140 132 \n", + "0 : 5815 760 316 135 116 \n", + "1 : 5865 715 319 114 129 \n", + "2 : 5798 730 376 108 130 \n", + "3 : 5864 707 331 109 131 \n", + "4 : 5840 724 329 139 110 \n", + "5 : 5922 709 307 102 102 \n", + "6 : 5867 704 323 117 131 \n", + "7 : 5871 700 343 99 129 \n", + "8 : 5840 736 327 106 133 \n", + "9 : 5867 676 332 126 141 \n", + "10 : 5855 701 320 116 150 \n", + "11 : 5827 736 330 112 137 \n", + "12 : 5883 685 340 118 116 \n", + "13 : 5835 747 338 110 124 \n", "\n", - "T : 80717 9968 5558 1908 1849 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81949 10030 4631 1611 1779 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.6%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.0958e-02 sec\n", - "--- Collate = 6.8999e-05 sec\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.4572e-02 sec\n", + "--- Collate = 6.0536e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.279385e-06 < 6.250000e-03 [1088]\n", - "--- Max DT=1.043801e+00 > 1.000000e-01 [67366]\n", + "--- Min DT=3.121346e-06 < 6.250000e-03 [1072]\n", + "--- Max DT=1.328227e+00 > 1.000000e-01 [68867]\n", "----------------------------------------------------------------------\n", - " Component | low: 1088/100000\n", - " Component | high: 67366/100000\n", + " Component | low: 1072/100000\n", + " Component | high: 68867/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=65.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000729718 [ 0.46 %]\n", - "Velocity : 0.00303532 [ 1.91 %]\n", - "Force : 0.0597835 [ 37.68 %]\n", - "Coefs : 0.0242664 [ 15.29 %]\n", - "Output : 0.00133458 [ 0.84 %]\n", - "Levels : 0.000217445 [ 0.14 %]\n", - "Report : 1.559e-06 [ 0.00 %]\n", + "Drift : 0.00046642 [ 0.01 %]\n", + "Velocity : 0.00204273 [ 0.06 %]\n", + "Force : 0.503626 [ 15.79 %]\n", + "Coefs : 1.9986 [ 62.66 %]\n", + "Output : 0.000873363 [ 0.03 %]\n", + "Levels : 0.000246695 [ 0.01 %]\n", + "Report : 4.25e-07 [ 0.00 %]\n", "Balance : 3.42e-07 [ 0.00 %]\n", - "Adjust : 0.0692538 [ 43.64 %]\n", - "Total : 0.15868 [100.00 %]\n", + "Adjust : 0.683647 [ 21.43 %]\n", + "Total : 3.18956 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5768 734 358 133 149 \n", - "1 : 5780 699 395 147 121 \n", - "2 : 5747 727 404 124 140 \n", - "3 : 5744 739 396 120 143 \n", - "4 : 5719 712 435 139 137 \n", - "5 : 5806 686 407 132 111 \n", - "6 : 5818 673 383 127 141 \n", - "7 : 5781 678 419 125 139 \n", - "8 : 5813 720 355 139 115 \n", - "9 : 5721 727 421 141 132 \n", - "10 : 5726 751 391 132 142 \n", - "11 : 5753 697 408 146 138 \n", - "12 : 5749 686 418 154 135 \n", - "13 : 5767 733 386 133 135 \n", + "0 : 5810 769 311 127 125 \n", + "1 : 5864 719 315 112 132 \n", + "2 : 5797 732 376 108 129 \n", + "3 : 5853 716 330 111 132 \n", + "4 : 5837 727 330 133 115 \n", + "5 : 5918 711 309 106 98 \n", + "6 : 5867 713 316 119 127 \n", + "7 : 5868 709 338 99 128 \n", + "8 : 5849 731 325 106 131 \n", + "9 : 5864 679 328 136 135 \n", + "10 : 5855 696 327 116 148 \n", + "11 : 5825 744 329 110 134 \n", + "12 : 5880 680 345 124 113 \n", + "13 : 5832 748 344 104 126 \n", "\n", - "T : 80692 9962 5576 1892 1878 [100000]\n", + "T : 81919 10074 4623 1611 1773 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.1059e-02 sec\n", - "--- Collate = 6.9006e-05 sec\n", + "--- Coef/DT = 37.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.2557e-02 sec\n", + "--- Collate = 1.0145e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.385565e-06 < 6.250000e-03 [1118]\n", - "--- Max DT=1.049891e+00 > 1.000000e-01 [67408]\n", + "--- Min DT=8.966513e-07 < 6.250000e-03 [1078]\n", + "--- Max DT=1.334569e+00 > 1.000000e-01 [68867]\n", "----------------------------------------------------------------------\n", - " Component | low: 1118/100000\n", - " Component | high: 67408/100000\n", + " Component | low: 1078/100000\n", + " Component | high: 68867/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=65.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000763213 [ 0.50 %]\n", - "Velocity : 0.00243681 [ 1.60 %]\n", - "Force : 0.0572863 [ 37.55 %]\n", - "Coefs : 0.0242415 [ 15.89 %]\n", - "Output : 0.000859788 [ 0.56 %]\n", - "Levels : 0.000224804 [ 0.15 %]\n", - "Report : 1.081e-06 [ 0.00 %]\n", - "Balance : 3.83e-07 [ 0.00 %]\n", - "Adjust : 0.0666827 [ 43.71 %]\n", - "Total : 0.152542 [100.00 %]\n", + "Drift : 0.00460049 [ 0.13 %]\n", + "Velocity : 0.00266452 [ 0.08 %]\n", + "Force : 0.596894 [ 16.82 %]\n", + "Coefs : 2.2094 [ 62.26 %]\n", + "Output : 0.00102124 [ 0.03 %]\n", + "Levels : 0.000225103 [ 0.01 %]\n", + "Report : 1.058e-06 [ 0.00 %]\n", + "Balance : 4.25e-07 [ 0.00 %]\n", + "Adjust : 0.734012 [ 20.68 %]\n", + "Total : 3.54887 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5769 723 370 128 152 \n", - "1 : 5776 709 385 148 124 \n", - "2 : 5747 723 411 114 147 \n", - "3 : 5751 734 382 139 136 \n", - "4 : 5723 712 427 145 135 \n", - "5 : 5813 679 407 135 108 \n", - "6 : 5806 689 374 132 141 \n", - "7 : 5784 680 413 120 145 \n", - "8 : 5817 714 364 127 120 \n", - "9 : 5721 726 409 149 137 \n", - "10 : 5717 752 402 129 142 \n", - "11 : 5754 688 419 144 137 \n", - "12 : 5754 678 417 144 149 \n", - "13 : 5771 728 384 133 138 \n", + "0 : 5813 772 307 126 124 \n", + "1 : 5865 713 318 117 129 \n", + "2 : 5796 730 376 107 133 \n", + "3 : 5858 710 322 113 139 \n", + "4 : 5837 729 320 134 122 \n", + "5 : 5918 711 312 108 93 \n", + "6 : 5862 725 309 116 130 \n", + "7 : 5869 711 332 103 127 \n", + "8 : 5850 729 325 108 130 \n", + "9 : 5863 675 339 130 135 \n", + "10 : 5859 688 335 125 135 \n", + "11 : 5826 743 325 120 128 \n", + "12 : 5879 681 344 119 119 \n", + "13 : 5837 743 345 104 125 \n", "\n", - "T : 80703 9935 5564 1887 1911 [100000]\n", + "T : 81932 10060 4609 1630 1769 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.0572e-02 sec\n", - "--- Collate = 6.9495e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 6.1497e-02 sec\n", + "--- Collate = 1.3018e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.964735e-06 < 6.250000e-03 [1141]\n", - "--- Max DT=1.055986e+00 > 1.000000e-01 [67430]\n", + "--- Min DT=7.450264e-08 < 6.250000e-03 [1073]\n", + "--- Max DT=1.340916e+00 > 1.000000e-01 [68868]\n", "----------------------------------------------------------------------\n", - " Component | low: 1141/100000\n", - " Component | high: 67430/100000\n", + " Component | low: 1073/100000\n", + " Component | high: 68868/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=65.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000605494 [ 0.38 %]\n", - "Velocity : 0.00353159 [ 2.24 %]\n", - "Force : 0.0595778 [ 37.85 %]\n", - "Coefs : 0.0221961 [ 14.10 %]\n", - "Output : 0.0012598 [ 0.80 %]\n", - "Levels : 0.000198933 [ 0.13 %]\n", - "Report : 1.125e-06 [ 0.00 %]\n", - "Balance : 3.67e-07 [ 0.00 %]\n", - "Adjust : 0.0699837 [ 44.46 %]\n", - "Total : 0.157414 [100.00 %]\n", + "Drift : 0.000547246 [ 0.01 %]\n", + "Velocity : 0.00247179 [ 0.07 %]\n", + "Force : 0.631673 [ 16.93 %]\n", + "Coefs : 2.29225 [ 61.44 %]\n", + "Output : 0.00137484 [ 0.04 %]\n", + "Levels : 0.000267016 [ 0.01 %]\n", + "Report : 9.03e-07 [ 0.00 %]\n", + "Balance : 3.9e-07 [ 0.00 %]\n", + "Adjust : 0.802389 [ 21.51 %]\n", + "Total : 3.73102 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5767 722 367 134 152 \n", - "1 : 5773 706 392 153 118 \n", - "2 : 5742 720 420 115 145 \n", - "3 : 5756 729 386 136 135 \n", - "4 : 5732 706 420 148 136 \n", - "5 : 5817 673 398 146 108 \n", - "6 : 5805 681 385 136 135 \n", - "7 : 5775 681 416 121 149 \n", - "8 : 5817 706 376 116 127 \n", - "9 : 5726 729 397 150 140 \n", - "10 : 5723 739 411 127 142 \n", - "11 : 5747 698 423 133 141 \n", - "12 : 5755 679 416 142 150 \n", - "13 : 5771 724 390 120 149 \n", + "0 : 5810 786 299 120 127 \n", + "1 : 5863 709 326 113 131 \n", + "2 : 5801 733 370 111 127 \n", + "3 : 5858 704 315 124 141 \n", + "4 : 5834 732 329 131 116 \n", + "5 : 5917 706 315 100 104 \n", + "6 : 5863 727 306 117 129 \n", + "7 : 5870 712 328 108 124 \n", + "8 : 5848 732 325 115 122 \n", + "9 : 5868 669 341 136 128 \n", + "10 : 5852 699 334 124 133 \n", + "11 : 5824 746 329 110 133 \n", + "12 : 5877 676 351 117 121 \n", + "13 : 5836 748 338 117 115 \n", "\n", - "T : 80706 9893 5597 1877 1927 [100000]\n", + "T : 81921 10079 4606 1643 1751 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0533e-02 sec\n", - "--- Collate = 6.6358e-05 sec\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 3.8776e-02 sec\n", + "--- Collate = 7.0148e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.555591e-06 < 6.250000e-03 [1125]\n", - "--- Max DT=1.062085e+00 > 1.000000e-01 [67472]\n", + "--- Min DT=1.282933e-06 < 6.250000e-03 [1049]\n", + "--- Max DT=1.347266e+00 > 1.000000e-01 [68862]\n", "----------------------------------------------------------------------\n", - " Component | low: 1125/100000\n", - " Component | high: 67472/100000\n", + " Component | low: 1049/100000\n", + " Component | high: 68862/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=65.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000564176 [ 0.37 %]\n", - "Velocity : 0.00193288 [ 1.28 %]\n", - "Force : 0.0567425 [ 37.60 %]\n", - "Coefs : 0.0234074 [ 15.51 %]\n", - "Output : 0.000759098 [ 0.50 %]\n", - "Levels : 0.000185676 [ 0.12 %]\n", - "Report : 1.114e-06 [ 0.00 %]\n", - "Balance : 3.6e-07 [ 0.00 %]\n", - "Adjust : 0.0672609 [ 44.57 %]\n", - "Total : 0.150897 [100.00 %]\n", + "Drift : 0.000487941 [ 0.02 %]\n", + "Velocity : 0.00168804 [ 0.06 %]\n", + "Force : 0.50579 [ 17.94 %]\n", + "Coefs : 1.74199 [ 61.79 %]\n", + "Output : 0.0012245 [ 0.04 %]\n", + "Levels : 0.000141412 [ 0.01 %]\n", + "Report : 6.74e-07 [ 0.00 %]\n", + "Balance : 3.38e-07 [ 0.00 %]\n", + "Adjust : 0.56766 [ 20.14 %]\n", + "Total : 2.81903 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5771 716 369 141 145 \n", - "1 : 5772 707 373 158 132 \n", - "2 : 5741 723 420 118 140 \n", - "3 : 5754 727 383 140 138 \n", - "4 : 5722 715 419 150 136 \n", - "5 : 5814 675 396 150 107 \n", - "6 : 5801 687 389 130 135 \n", - "7 : 5775 676 415 127 149 \n", - "8 : 5817 702 379 109 135 \n", - "9 : 5718 733 393 155 143 \n", - "10 : 5728 738 406 135 135 \n", - "11 : 5746 685 437 132 142 \n", - "12 : 5756 679 410 147 150 \n", - "13 : 5768 729 380 137 140 \n", + "0 : 5812 781 307 110 132 \n", + "1 : 5864 707 327 113 131 \n", + "2 : 5800 738 365 114 125 \n", + "3 : 5856 708 318 119 141 \n", + "4 : 5827 739 325 119 132 \n", + "5 : 5920 694 325 100 103 \n", + "6 : 5866 726 302 118 130 \n", + "7 : 5869 718 321 108 126 \n", + "8 : 5851 732 328 108 123 \n", + "9 : 5870 666 341 143 122 \n", + "10 : 5852 698 341 127 124 \n", + "11 : 5821 746 336 105 134 \n", + "12 : 5879 673 353 113 124 \n", + "13 : 5837 745 331 123 118 \n", "\n", - "T : 80683 9892 5569 1929 1927 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81924 10071 4620 1620 1765 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.3%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.0543e-02 sec\n", - "--- Collate = 7.2257e-05 sec\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.9796e-02 sec\n", + "--- Collate = 1.5949e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.682131e-06 < 6.250000e-03 [1119]\n", - "--- Max DT=1.068189e+00 > 1.000000e-01 [67495]\n", + "--- Min DT=1.787438e-06 < 6.250000e-03 [1033]\n", + "--- Max DT=1.353620e+00 > 1.000000e-01 [68856]\n", "----------------------------------------------------------------------\n", - " Component | low: 1119/100000\n", - " Component | high: 67495/100000\n", + " Component | low: 1033/100000\n", + " Component | high: 68856/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=65.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000634812 [ 0.42 %]\n", - "Velocity : 0.00226529 [ 1.48 %]\n", - "Force : 0.0572755 [ 37.47 %]\n", - "Coefs : 0.0232417 [ 15.20 %]\n", - "Output : 0.000991636 [ 0.65 %]\n", - "Levels : 0.000203214 [ 0.13 %]\n", - "Report : 1.032e-06 [ 0.00 %]\n", - "Balance : 3.57e-07 [ 0.00 %]\n", - "Adjust : 0.0682012 [ 44.62 %]\n", - "Total : 0.152861 [100.00 %]\n", + "Drift : 0.000363898 [ 0.01 %]\n", + "Velocity : 0.00145332 [ 0.05 %]\n", + "Force : 0.466635 [ 15.40 %]\n", + "Coefs : 1.93222 [ 63.75 %]\n", + "Output : 0.000804214 [ 0.03 %]\n", + "Levels : 0.000168059 [ 0.01 %]\n", + "Report : 5.1e-07 [ 0.00 %]\n", + "Balance : 1.95e-07 [ 0.00 %]\n", + "Adjust : 0.629154 [ 20.76 %]\n", + "Total : 3.03082 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5779 706 373 137 147 \n", - "1 : 5778 700 367 162 135 \n", - "2 : 5745 718 416 129 134 \n", - "3 : 5756 732 378 142 134 \n", - "4 : 5724 712 415 152 139 \n", - "5 : 5808 686 394 146 108 \n", - "6 : 5802 680 396 126 138 \n", - "7 : 5773 674 422 124 149 \n", - "8 : 5814 696 386 117 129 \n", - "9 : 5717 728 393 152 152 \n", - "10 : 5736 719 419 127 141 \n", - "11 : 5742 694 428 140 138 \n", - "12 : 5753 676 414 145 154 \n", - "13 : 5772 733 367 143 139 \n", + "0 : 5809 786 302 113 132 \n", + "1 : 5864 708 330 110 130 \n", + "2 : 5802 738 359 129 114 \n", + "3 : 5861 706 315 124 136 \n", + "4 : 5835 731 329 105 142 \n", + "5 : 5924 687 331 97 103 \n", + "6 : 5865 727 302 117 131 \n", + "7 : 5874 714 328 99 127 \n", + "8 : 5852 727 323 111 129 \n", + "9 : 5872 652 354 144 120 \n", + "10 : 5854 700 333 137 118 \n", + "11 : 5819 757 320 121 125 \n", + "12 : 5882 681 346 110 123 \n", + "13 : 5839 750 325 129 111 \n", "\n", - "T : 80699 9854 5568 1942 1937 [100000]\n", + "T : 81952 10064 4597 1646 1741 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.1034e-02 sec\n", - "--- Collate = 7.5524e-05 sec\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 3.3659e-02 sec\n", + "--- Collate = 1.0212e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.246813e-08 < 6.250000e-03 [1119]\n", - "--- Max DT=1.074298e+00 > 1.000000e-01 [67519]\n", + "--- Min DT=6.485773e-06 < 6.250000e-03 [1046]\n", + "--- Max DT=1.359978e+00 > 1.000000e-01 [68843]\n", "----------------------------------------------------------------------\n", - " Component | low: 1119/100000\n", - " Component | high: 67519/100000\n", + " Component | low: 1046/100000\n", + " Component | high: 68843/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=66] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000592254 [ 0.38 %]\n", - "Velocity : 0.00193491 [ 1.23 %]\n", - "Force : 0.0574022 [ 36.46 %]\n", - "Coefs : 0.0236957 [ 15.05 %]\n", - "Output : 0.00520551 [ 3.31 %]\n", - "Levels : 0.000274619 [ 0.17 %]\n", - "Report : 1.338e-06 [ 0.00 %]\n", - "Balance : 1.048e-06 [ 0.00 %]\n", - "Adjust : 0.0682681 [ 43.37 %]\n", - "Total : 0.157417 [100.00 %]\n", + "Drift : 0.000288197 [ 0.01 %]\n", + "Velocity : 0.00133335 [ 0.06 %]\n", + "Force : 0.33919 [ 14.95 %]\n", + "Coefs : 1.44399 [ 63.65 %]\n", + "Output : 0.00686107 [ 0.30 %]\n", + "Levels : 0.00010854 [ 0.00 %]\n", + "Report : 7.23e-07 [ 0.00 %]\n", + "Balance : 2.54e-07 [ 0.00 %]\n", + "Adjust : 0.476832 [ 21.02 %]\n", + "Total : 2.26863 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5790 690 379 130 153 \n", - "1 : 5784 692 371 157 138 \n", - "2 : 5738 733 401 131 139 \n", - "3 : 5762 729 371 144 136 \n", - "4 : 5720 721 403 160 138 \n", - "5 : 5818 676 383 155 110 \n", - "6 : 5801 681 395 132 133 \n", - "7 : 5773 675 412 130 152 \n", - "8 : 5815 693 378 130 126 \n", - "9 : 5718 721 409 142 152 \n", - "10 : 5742 713 420 132 135 \n", - "11 : 5737 701 425 150 129 \n", - "12 : 5755 675 410 149 153 \n", - "13 : 5779 721 369 149 136 \n", + "0 : 5807 791 305 109 130 \n", + "1 : 5868 703 336 103 132 \n", + "2 : 5806 736 356 127 117 \n", + "3 : 5869 699 314 122 138 \n", + "4 : 5832 734 325 110 141 \n", + "5 : 5925 687 328 95 107 \n", + "6 : 5865 731 301 113 132 \n", + "7 : 5878 713 332 95 124 \n", + "8 : 5850 728 324 111 129 \n", + "9 : 5867 651 360 150 114 \n", + "10 : 5859 691 340 132 120 \n", + "11 : 5828 756 314 116 128 \n", + "12 : 5873 696 339 110 124 \n", + "13 : 5842 742 334 120 116 \n", "\n", - "T : 80732 9821 5526 1991 1930 [100000]\n", + "T : 81969 10058 4608 1613 1752 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.0%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.7407e-02 sec\n", - "--- Collate = 9.3781e-05 sec\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 3.5521e-02 sec\n", + "--- Collate = 9.9321e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.443220e-06 < 6.250000e-03 [1132]\n", - "--- Max DT=1.080412e+00 > 1.000000e-01 [67553]\n", + "--- Min DT=3.306168e-06 < 6.250000e-03 [1037]\n", + "--- Max DT=1.366341e+00 > 1.000000e-01 [68835]\n", "----------------------------------------------------------------------\n", - " Component | low: 1132/100000\n", - " Component | high: 67553/100000\n", + " Component | low: 1037/100000\n", + " Component | high: 68835/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=66.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000818053 [ 0.46 %]\n", - "Velocity : 0.00342539 [ 1.92 %]\n", - "Force : 0.0675689 [ 37.79 %]\n", - "Coefs : 0.0232924 [ 13.03 %]\n", - "Output : 0.00151155 [ 0.85 %]\n", - "Levels : 0.000846058 [ 0.47 %]\n", - "Report : 1.557e-06 [ 0.00 %]\n", - "Balance : 7.1e-07 [ 0.00 %]\n", - "Adjust : 0.0812822 [ 45.46 %]\n", - "Total : 0.178807 [100.00 %]\n", + "Drift : 0.000262028 [ 0.01 %]\n", + "Velocity : 0.00142128 [ 0.06 %]\n", + "Force : 0.329758 [ 15.00 %]\n", + "Coefs : 1.36555 [ 62.13 %]\n", + "Output : 0.000855072 [ 0.04 %]\n", + "Levels : 0.000142054 [ 0.01 %]\n", + "Report : 2.58e-07 [ 0.00 %]\n", + "Balance : 1.32e-07 [ 0.00 %]\n", + "Adjust : 0.499806 [ 22.74 %]\n", + "Total : 2.19782 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5787 697 383 125 150 \n", - "1 : 5781 698 368 159 136 \n", - "2 : 5741 721 407 134 139 \n", - "3 : 5762 715 382 140 143 \n", - "4 : 5724 719 399 162 138 \n", - "5 : 5819 661 395 146 121 \n", - "6 : 5802 677 392 145 126 \n", - "7 : 5773 668 416 126 159 \n", - "8 : 5820 692 363 151 116 \n", - "9 : 5724 712 405 148 153 \n", - "10 : 5740 712 422 137 131 \n", - "11 : 5739 691 422 169 121 \n", - "12 : 5759 679 407 144 153 \n", - "13 : 5782 718 368 141 145 \n", + "0 : 5812 788 307 105 130 \n", + "1 : 5871 704 328 108 131 \n", + "2 : 5808 735 360 128 111 \n", + "3 : 5869 700 313 122 138 \n", + "4 : 5836 727 316 118 145 \n", + "5 : 5929 681 322 103 107 \n", + "6 : 5864 734 307 105 132 \n", + "7 : 5879 710 333 104 116 \n", + "8 : 5852 722 334 109 125 \n", + "9 : 5877 638 369 132 126 \n", + "10 : 5866 681 350 123 122 \n", + "11 : 5830 752 312 113 135 \n", + "12 : 5879 697 328 115 123 \n", + "13 : 5845 741 334 116 118 \n", "\n", - "T : 80753 9760 5529 2027 1931 [100000]\n", + "T : 82017 10010 4613 1601 1759 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.0883e-02 sec\n", - "--- Collate = 8.7001e-05 sec\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 4.3620e-02 sec\n", + "--- Collate = 1.0313e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.050279e-06 < 6.250000e-03 [1131]\n", - "--- Max DT=1.086531e+00 > 1.000000e-01 [67589]\n", + "--- Min DT=6.728741e-07 < 6.250000e-03 [1040]\n", + "--- Max DT=1.372707e+00 > 1.000000e-01 [68823]\n", "----------------------------------------------------------------------\n", - " Component | low: 1131/100000\n", - " Component | high: 67589/100000\n", + " Component | low: 1040/100000\n", + " Component | high: 68823/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=66.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0010621 [ 0.59 %]\n", - "Velocity : 0.00331852 [ 1.84 %]\n", - "Force : 0.0667378 [ 37.01 %]\n", - "Coefs : 0.0291565 [ 16.17 %]\n", - "Output : 0.00151225 [ 0.84 %]\n", - "Levels : 0.000262204 [ 0.15 %]\n", - "Report : 2.707e-06 [ 0.00 %]\n", - "Balance : 6.93e-07 [ 0.00 %]\n", - "Adjust : 0.0782033 [ 43.37 %]\n", - "Total : 0.180318 [100.00 %]\n", - "----------------------------------------------------------------------\n", - "\n", - "----------------------------------------------------------------------\n", - "--- Level info--------------------------------------------------------\n", - "----------------------------------------------------------------------\n", - "0 : 5794 691 383 122 152 \n", - "1 : 5785 681 384 146 146 \n", - "2 : 5731 731 394 146 140 \n", - "3 : 5769 706 384 148 135 \n", - "4 : 5728 721 389 164 140 \n", - "5 : 5813 650 416 142 121 \n", - "6 : 5803 675 394 148 122 \n", - "7 : 5772 667 415 133 155 \n", - "8 : 5818 690 375 144 115 \n", - "9 : 5719 713 397 152 161 \n", - "10 : 5740 710 419 138 135 \n", - "11 : 5746 681 419 178 118 \n", - "12 : 5757 672 416 149 148 \n", - "13 : 5780 717 367 143 147 \n", - "\n", - "T : 80755 9705 5552 2053 1935 [100000]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000398736 [ 0.01 %]\n", + "Velocity : 0.00148583 [ 0.05 %]\n", + "Force : 0.461595 [ 16.42 %]\n", + "Coefs : 1.71503 [ 61.01 %]\n", + "Output : 0.000819929 [ 0.03 %]\n", + "Levels : 0.000173962 [ 0.01 %]\n", + "Report : 3.92e-07 [ 0.00 %]\n", + "Balance : 1.14e-07 [ 0.00 %]\n", + "Adjust : 0.631735 [ 22.47 %]\n", + "Total : 2.81126 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5813 783 313 100 133 \n", + "1 : 5873 698 334 110 127 \n", + "2 : 5813 727 370 116 116 \n", + "3 : 5873 699 310 122 138 \n", + "4 : 5830 735 319 117 141 \n", + "5 : 5924 680 328 101 109 \n", + "6 : 5857 741 305 116 123 \n", + "7 : 5880 706 342 94 120 \n", + "8 : 5862 716 336 104 124 \n", + "9 : 5871 647 366 128 130 \n", + "10 : 5865 680 352 130 115 \n", + "11 : 5829 748 327 98 140 \n", + "12 : 5879 706 320 115 122 \n", + "13 : 5846 741 334 115 118 \n", + "\n", + "T : 82015 10007 4656 1566 1756 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 1.8%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 2.5473e-02 sec\n", - "--- Collate = 7.6652e-05 sec\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 2.5209e-02 sec\n", + "--- Collate = 3.4454e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.374771e-06 < 6.250000e-03 [1144]\n", - "--- Max DT=1.092654e+00 > 1.000000e-01 [67598]\n", + "--- Min DT=1.607802e-05 < 6.250000e-03 [1044]\n", + "--- Max DT=1.379077e+00 > 1.000000e-01 [68821]\n", "----------------------------------------------------------------------\n", - " Component | low: 1144/100000\n", - " Component | high: 67598/100000\n", + " Component | low: 1044/100000\n", + " Component | high: 68821/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=66.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000711033 [ 0.35 %]\n", - "Velocity : 0.00392386 [ 1.91 %]\n", - "Force : 0.0661248 [ 32.24 %]\n", - "Coefs : 0.0317297 [ 15.47 %]\n", - "Output : 0.00141991 [ 0.69 %]\n", - "Levels : 0.000256137 [ 0.12 %]\n", - "Report : 1.086e-06 [ 0.00 %]\n", - "Balance : 6.01e-07 [ 0.00 %]\n", - "Adjust : 0.100871 [ 49.18 %]\n", - "Total : 0.205098 [100.00 %]\n", + "Drift : 0.000330144 [ 0.01 %]\n", + "Velocity : 0.00154123 [ 0.06 %]\n", + "Force : 0.462952 [ 17.32 %]\n", + "Coefs : 1.66378 [ 62.24 %]\n", + "Output : 0.000766936 [ 0.03 %]\n", + "Levels : 0.000165493 [ 0.01 %]\n", + "Report : 2.39e-07 [ 0.00 %]\n", + "Balance : 1.13e-07 [ 0.00 %]\n", + "Adjust : 0.543527 [ 20.33 %]\n", + "Total : 2.67309 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5796 690 384 111 161 \n", - "1 : 5782 688 377 143 152 \n", - "2 : 5720 741 398 148 135 \n", - "3 : 5765 719 376 152 130 \n", - "4 : 5730 707 400 159 146 \n", - "5 : 5812 653 413 134 130 \n", - "6 : 5801 672 398 160 111 \n", - "7 : 5781 657 406 141 157 \n", - "8 : 5822 695 362 150 113 \n", - "9 : 5722 706 394 155 165 \n", - "10 : 5738 707 422 136 139 \n", - "11 : 5743 690 417 165 127 \n", - "12 : 5750 674 426 144 148 \n", - "13 : 5774 727 367 134 152 \n", + "0 : 5807 780 319 111 125 \n", + "1 : 5875 703 320 115 129 \n", + "2 : 5824 724 361 109 124 \n", + "3 : 5875 696 313 112 146 \n", + "4 : 5833 735 319 121 134 \n", + "5 : 5924 683 319 100 116 \n", + "6 : 5857 742 310 110 123 \n", + "7 : 5878 713 332 100 119 \n", + "8 : 5860 722 324 107 129 \n", + "9 : 5876 649 362 128 127 \n", + "10 : 5862 684 355 126 115 \n", + "11 : 5827 747 328 106 134 \n", + "12 : 5879 704 320 118 121 \n", + "13 : 5852 737 336 103 126 \n", "\n", - "T : 80736 9726 5540 2032 1966 [100000]\n", + "T : 82029 10019 4618 1566 1768 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 1.0913e-02 sec\n", - "--- Collate = 8.6613e-05 sec\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 4.0725e-02 sec\n", + "--- Collate = 3.0192e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.100376e-09 < 6.250000e-03 [1164]\n", - "--- Max DT=1.098782e+00 > 1.000000e-01 [67649]\n", + "--- Min DT=1.942619e-06 < 6.250000e-03 [1054]\n", + "--- Max DT=1.385451e+00 > 1.000000e-01 [68825]\n", "----------------------------------------------------------------------\n", - " Component | low: 1164/100000\n", - " Component | high: 67649/100000\n", + " Component | low: 1054/100000\n", + " Component | high: 68825/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=66.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000693495 [ 0.24 %]\n", - "Velocity : 0.00442618 [ 1.53 %]\n", - "Force : 0.114216 [ 39.54 %]\n", - "Coefs : 0.0422163 [ 14.61 %]\n", - "Output : 0.00110079 [ 0.38 %]\n", - "Levels : 0.000229394 [ 0.08 %]\n", - "Report : 1.046e-06 [ 0.00 %]\n", - "Balance : 5.57e-07 [ 0.00 %]\n", - "Adjust : 0.125949 [ 43.60 %]\n", - "Total : 0.288897 [100.00 %]\n", + "Drift : 0.000345833 [ 0.01 %]\n", + "Velocity : 0.0012969 [ 0.05 %]\n", + "Force : 0.372778 [ 15.57 %]\n", + "Coefs : 1.48554 [ 62.04 %]\n", + "Output : 0.000789998 [ 0.03 %]\n", + "Levels : 0.000166844 [ 0.01 %]\n", + "Report : 4.69e-07 [ 0.00 %]\n", + "Balance : 5.48e-07 [ 0.00 %]\n", + "Adjust : 0.533662 [ 22.29 %]\n", + "Total : 2.39462 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5803 672 393 106 168 \n", - "1 : 5782 680 386 129 165 \n", - "2 : 5721 728 404 150 139 \n", - "3 : 5770 708 382 153 129 \n", - "4 : 5735 712 387 161 147 \n", - "5 : 5812 647 418 131 134 \n", - "6 : 5807 669 384 165 117 \n", - "7 : 5781 656 405 138 162 \n", - "8 : 5822 685 370 147 118 \n", - "9 : 5723 702 395 162 160 \n", - "10 : 5732 721 400 148 141 \n", - "11 : 5743 692 412 155 140 \n", - "12 : 5754 666 419 152 151 \n", - "13 : 5778 720 369 134 153 \n", + "0 : 5802 789 316 110 125 \n", + "1 : 5874 702 316 116 134 \n", + "2 : 5829 720 356 114 123 \n", + "3 : 5877 685 322 114 144 \n", + "4 : 5825 747 316 119 135 \n", + "5 : 5924 684 319 98 117 \n", + "6 : 5860 746 304 112 120 \n", + "7 : 5883 710 324 112 113 \n", + "8 : 5861 720 330 107 124 \n", + "9 : 5869 657 366 125 125 \n", + "10 : 5862 684 352 128 116 \n", + "11 : 5828 742 323 118 131 \n", + "12 : 5879 707 322 117 117 \n", + "13 : 5853 731 342 106 122 \n", "\n", - "T : 80763 9658 5524 2031 2024 [100000]\n", + "T : 82026 10024 4608 1596 1746 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.1118e-02 sec\n", - "--- Collate = 7.7500e-05 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.9405e-02 sec\n", + "--- Collate = 1.1010e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.179089e-06 < 6.250000e-03 [1148]\n", - "--- Max DT=1.104915e+00 > 1.000000e-01 [67677]\n", + "--- Min DT=2.950370e-06 < 6.250000e-03 [1044]\n", + "--- Max DT=1.391829e+00 > 1.000000e-01 [68817]\n", "----------------------------------------------------------------------\n", - " Component | low: 1148/100000\n", - " Component | high: 67677/100000\n", + " Component | low: 1044/100000\n", + " Component | high: 68817/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=66.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000856821 [ 0.53 %]\n", - "Velocity : 0.00316704 [ 1.97 %]\n", - "Force : 0.0589388 [ 36.67 %]\n", - "Coefs : 0.0245133 [ 15.25 %]\n", - "Output : 0.000919407 [ 0.57 %]\n", - "Levels : 0.000245704 [ 0.15 %]\n", - "Report : 1.233e-06 [ 0.00 %]\n", - "Balance : 8.86e-07 [ 0.00 %]\n", - "Adjust : 0.0720335 [ 44.82 %]\n", - "Total : 0.160733 [100.00 %]\n", + "Drift : 0.000332885 [ 0.01 %]\n", + "Velocity : 0.00158118 [ 0.06 %]\n", + "Force : 0.382106 [ 14.88 %]\n", + "Coefs : 1.62935 [ 63.43 %]\n", + "Output : 0.000824948 [ 0.03 %]\n", + "Levels : 0.000133775 [ 0.01 %]\n", + "Report : 4.92e-07 [ 0.00 %]\n", + "Balance : 1.28e-07 [ 0.00 %]\n", + "Adjust : 0.554283 [ 21.58 %]\n", + "Total : 2.56864 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5796 675 390 119 162 \n", - "1 : 5784 681 386 120 171 \n", - "2 : 5730 712 412 153 135 \n", - "3 : 5769 708 379 166 120 \n", - "4 : 5733 717 385 155 152 \n", - "5 : 5821 649 410 136 126 \n", - "6 : 5806 659 407 153 117 \n", - "7 : 5779 657 410 136 160 \n", - "8 : 5818 689 367 149 119 \n", - "9 : 5729 693 398 169 153 \n", - "10 : 5744 710 403 149 136 \n", - "11 : 5743 693 411 156 139 \n", - "12 : 5753 672 414 155 148 \n", - "13 : 5786 715 368 124 161 \n", + "0 : 5795 792 325 108 122 \n", + "1 : 5877 704 315 114 132 \n", + "2 : 5823 727 354 114 124 \n", + "3 : 5874 686 326 118 138 \n", + "4 : 5822 751 318 121 130 \n", + "5 : 5923 681 319 108 111 \n", + "6 : 5862 743 302 114 121 \n", + "7 : 5883 715 321 110 113 \n", + "8 : 5859 725 325 102 131 \n", + "9 : 5865 665 370 123 119 \n", + "10 : 5856 691 354 119 122 \n", + "11 : 5828 741 328 117 128 \n", + "12 : 5872 713 330 114 113 \n", + "13 : 5853 742 328 105 126 \n", "\n", - "T : 80791 9630 5540 2040 1999 [100000]\n", + "T : 81992 10076 4615 1587 1730 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.1056e-02 sec\n", - "--- Collate = 7.4240e-05 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 7.3504e-02 sec\n", + "--- Collate = 4.3563e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.934878e-07 < 6.250000e-03 [1185]\n", - "--- Max DT=1.111052e+00 > 1.000000e-01 [67710]\n", + "--- Min DT=3.476729e-06 < 6.250000e-03 [1047]\n", + "--- Max DT=1.398211e+00 > 1.000000e-01 [68808]\n", "----------------------------------------------------------------------\n", - " Component | low: 1185/100000\n", - " Component | high: 67710/100000\n", + " Component | low: 1047/100000\n", + " Component | high: 68808/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=66.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000802623 [ 0.49 %]\n", - "Velocity : 0.00267601 [ 1.64 %]\n", - "Force : 0.0617829 [ 37.85 %]\n", - "Coefs : 0.0245126 [ 15.02 %]\n", - "Output : 0.000971463 [ 0.60 %]\n", - "Levels : 0.00023277 [ 0.14 %]\n", - "Report : 1.196e-06 [ 0.00 %]\n", - "Balance : 7.4e-07 [ 0.00 %]\n", - "Adjust : 0.0721904 [ 44.23 %]\n", - "Total : 0.163223 [100.00 %]\n", + "Drift : 0.000501746 [ 0.01 %]\n", + "Velocity : 0.00250622 [ 0.06 %]\n", + "Force : 0.682744 [ 17.49 %]\n", + "Coefs : 2.45624 [ 62.93 %]\n", + "Output : 0.00151281 [ 0.04 %]\n", + "Levels : 0.000280855 [ 0.01 %]\n", + "Report : 7.81e-07 [ 0.00 %]\n", + "Balance : 2.67e-07 [ 0.00 %]\n", + "Adjust : 0.75939 [ 19.46 %]\n", + "Total : 3.90323 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5806 665 387 120 164 \n", - "1 : 5801 653 385 136 167 \n", - "2 : 5728 716 402 155 141 \n", - "3 : 5778 689 398 156 121 \n", - "4 : 5736 717 387 152 150 \n", - "5 : 5816 659 402 131 134 \n", - "6 : 5805 652 422 139 124 \n", - "7 : 5774 670 405 147 146 \n", - "8 : 5821 681 368 143 129 \n", - "9 : 5725 694 404 159 160 \n", - "10 : 5740 722 394 152 134 \n", - "11 : 5746 679 425 148 144 \n", - "12 : 5753 666 414 164 145 \n", - "13 : 5788 715 362 132 157 \n", + "0 : 5791 793 327 107 124 \n", + "1 : 5881 700 316 116 129 \n", + "2 : 5824 721 359 118 120 \n", + "3 : 5872 687 328 122 133 \n", + "4 : 5825 747 330 114 126 \n", + "5 : 5915 690 314 115 108 \n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "6 : 5860 745 306 106 125 \n", + "7 : 5882 712 320 114 114 \n", + "8 : 5856 727 321 101 137 \n", + "9 : 5867 658 371 126 120 \n", + "10 : 5857 691 360 123 111 \n", + "11 : 5832 736 332 110 132 \n", + "12 : 5873 715 328 115 111 \n", + "13 : 5860 730 330 110 124 \n", "\n", - "T : 80817 9578 5555 2034 2016 [100000]\n", + "T : 81995 10052 4642 1597 1714 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.6%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0706e-02 sec\n", - "--- Collate = 7.6685e-05 sec\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 5.6536e-02 sec\n", + "--- Collate = 6.0421e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.671759e-06 < 6.250000e-03 [1180]\n", - "--- Max DT=1.117194e+00 > 1.000000e-01 [67760]\n", + "--- Min DT=3.388078e-07 < 6.250000e-03 [1051]\n", + "--- Max DT=1.404596e+00 > 1.000000e-01 [68798]\n", "----------------------------------------------------------------------\n", - " Component | low: 1180/100000\n", - " Component | high: 67760/100000\n", + " Component | low: 1051/100000\n", + " Component | high: 68798/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=66.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000884018 [ 0.55 %]\n", - "Velocity : 0.00330157 [ 2.06 %]\n", - "Force : 0.0598249 [ 37.29 %]\n", - "Coefs : 0.0237026 [ 14.77 %]\n", - "Output : 0.00144372 [ 0.90 %]\n", - "Levels : 0.000263301 [ 0.16 %]\n", - "Report : 1.287e-06 [ 0.00 %]\n", - "Balance : 5.06e-07 [ 0.00 %]\n", - "Adjust : 0.0709306 [ 44.21 %]\n", - "Total : 0.160424 [100.00 %]\n", + "Drift : 0.000655684 [ 0.02 %]\n", + "Velocity : 0.00647043 [ 0.20 %]\n", + "Force : 0.5288 [ 16.16 %]\n", + "Coefs : 2.02225 [ 61.80 %]\n", + "Output : 0.00157694 [ 0.05 %]\n", + "Levels : 0.000269459 [ 0.01 %]\n", + "Report : 8.9e-07 [ 0.00 %]\n", + "Balance : 2.46e-07 [ 0.00 %]\n", + "Adjust : 0.712303 [ 21.77 %]\n", + "Total : 3.27238 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5802 671 382 131 156 \n", - "1 : 5800 653 386 141 162 \n", - "2 : 5731 714 398 150 149 \n", - "3 : 5773 694 407 141 127 \n", - "4 : 5736 715 383 150 158 \n", - "5 : 5817 656 397 140 132 \n", - "6 : 5815 652 400 146 129 \n", - "7 : 5771 674 397 162 138 \n", - "8 : 5810 695 361 142 134 \n", - "9 : 5731 684 402 170 155 \n", - "10 : 5747 715 390 156 134 \n", - "11 : 5743 670 432 147 150 \n", - "12 : 5751 660 418 167 146 \n", - "13 : 5793 717 354 134 156 \n", + "0 : 5789 793 325 115 120 \n", + "1 : 5886 696 318 107 135 \n", + "2 : 5820 717 371 116 118 \n", + "3 : 5871 688 335 121 127 \n", + "4 : 5831 741 329 118 123 \n", + "5 : 5919 694 306 116 107 \n", + "6 : 5858 749 303 111 121 \n", + "7 : 5880 712 319 117 114 \n", + "8 : 5859 726 317 113 127 \n", + "9 : 5866 667 364 119 126 \n", + "10 : 5854 689 367 120 112 \n", + "11 : 5829 738 328 116 131 \n", + "12 : 5873 719 313 122 115 \n", + "13 : 5863 722 329 114 126 \n", "\n", - "T : 80820 9570 5507 2077 2026 [100000]\n", + "T : 81998 10051 4624 1625 1702 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.7%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.0802e-02 sec\n", - "--- Collate = 6.5626e-05 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 4.7561e-02 sec\n", + "--- Collate = 7.0107e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.342657e-06 < 6.250000e-03 [1217]\n", - "--- Max DT=1.123341e+00 > 1.000000e-01 [67791]\n", + "--- Min DT=5.114692e-07 < 6.250000e-03 [1003]\n", + "--- Max DT=1.410986e+00 > 1.000000e-01 [68800]\n", "----------------------------------------------------------------------\n", - " Component | low: 1217/100000\n", - " Component | high: 67791/100000\n", + " Component | low: 1003/100000\n", + " Component | high: 68800/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=66.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000721192 [ 0.46 %]\n", - "Velocity : 0.00231075 [ 1.48 %]\n", - "Force : 0.057257 [ 36.77 %]\n", - "Coefs : 0.0243265 [ 15.62 %]\n", - "Output : 0.00117141 [ 0.75 %]\n", - "Levels : 0.000240874 [ 0.15 %]\n", - "Report : 1.361e-06 [ 0.00 %]\n", - "Balance : 4.97e-07 [ 0.00 %]\n", - "Adjust : 0.0696348 [ 44.72 %]\n", - "Total : 0.15571 [100.00 %]\n", + "Drift : 0.000507266 [ 0.01 %]\n", + "Velocity : 0.00601883 [ 0.18 %]\n", + "Force : 0.571296 [ 16.66 %]\n", + "Coefs : 2.16257 [ 63.07 %]\n", + "Output : 0.00137469 [ 0.04 %]\n", + "Levels : 0.000289844 [ 0.01 %]\n", + "Report : 2.129e-06 [ 0.00 %]\n", + "Balance : 9.55e-07 [ 0.00 %]\n", + "Adjust : 0.686572 [ 20.02 %]\n", + "Total : 3.42868 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5806 667 382 132 155 \n", - "1 : 5801 656 380 151 154 \n", - "2 : 5732 710 394 154 152 \n", - "3 : 5780 687 417 130 128 \n", - "4 : 5733 723 372 160 154 \n", - "5 : 5818 654 398 143 129 \n", - "6 : 5811 665 389 146 131 \n", - "7 : 5768 681 396 154 143 \n", - "8 : 5800 695 368 139 140 \n", - "9 : 5738 675 409 166 154 \n", - "10 : 5750 707 395 155 135 \n", - "11 : 5744 670 429 145 154 \n", - "12 : 5758 658 418 151 157 \n", - "13 : 5795 716 354 126 163 \n", + "0 : 5792 787 327 107 129 \n", + "1 : 5889 697 314 104 138 \n", + "2 : 5820 719 369 118 116 \n", + "3 : 5874 681 340 114 133 \n", + "4 : 5831 734 324 133 120 \n", + "5 : 5915 696 313 112 106 \n", + "6 : 5858 747 309 111 117 \n", + "7 : 5876 716 325 109 116 \n", + "8 : 5854 734 314 113 127 \n", + "9 : 5869 664 363 115 131 \n", + "10 : 5857 699 364 110 112 \n", + "11 : 5822 748 326 117 129 \n", + "12 : 5881 708 315 124 114 \n", + "13 : 5864 721 325 118 126 \n", "\n", - "T : 80834 9564 5501 2052 2049 [100000]\n", + "T : 82002 10051 4628 1605 1714 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 1.0871e-02 sec\n", - "--- Collate = 7.3713e-05 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 6.0891e-02 sec\n", + "--- Collate = 8.0225e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.829962e-07 < 6.250000e-03 [1231]\n", - "--- Max DT=1.129492e+00 > 1.000000e-01 [67839]\n", + "--- Min DT=4.927239e-06 < 6.250000e-03 [995]\n", + "--- Max DT=1.417379e+00 > 1.000000e-01 [68796]\n", "----------------------------------------------------------------------\n", - " Component | low: 1231/100000\n", - " Component | high: 67839/100000\n", + " Component | low: 995/100000\n", + " Component | high: 68796/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=66.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000654577 [ 0.42 %]\n", - "Velocity : 0.00198664 [ 1.27 %]\n", - "Force : 0.0587594 [ 37.59 %]\n", - "Coefs : 0.0242441 [ 15.51 %]\n", - "Output : 0.00104414 [ 0.67 %]\n", - "Levels : 0.000224643 [ 0.14 %]\n", - "Report : 1.136e-06 [ 0.00 %]\n", - "Balance : 3.91e-07 [ 0.00 %]\n", - "Adjust : 0.0693363 [ 44.36 %]\n", - "Total : 0.1563 [100.00 %]\n", - "----------------------------------------------------------------------\n", - "\n", - "----------------------------------------------------------------------\n", - "--- Level info--------------------------------------------------------\n", - "----------------------------------------------------------------------\n", - "0 : 5807 656 385 144 150 \n", - "1 : 5799 672 366 142 163 \n", - "2 : 5743 696 400 153 150 \n", - "3 : 5777 683 417 140 125 \n", - "4 : 5730 720 377 160 155 \n", - "5 : 5818 659 385 150 130 \n", - "6 : 5810 668 385 144 135 \n", - "7 : 5774 685 393 147 143 \n", - "8 : 5810 682 371 143 136 \n", - "9 : 5742 673 412 159 156 \n", - "10 : 5759 695 401 146 141 \n", - "11 : 5742 682 413 151 154 \n", - "12 : 5762 651 420 145 164 \n", - "13 : 5800 705 359 136 154 \n", - "\n", - "T : 80873 9527 5484 2060 2056 [100000]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000547296 [ 0.01 %]\n", + "Velocity : 0.00721308 [ 0.19 %]\n", + "Force : 0.722039 [ 18.96 %]\n", + "Coefs : 2.37678 [ 62.41 %]\n", + "Output : 0.00158372 [ 0.04 %]\n", + "Levels : 0.000340008 [ 0.01 %]\n", + "Report : 1.554e-06 [ 0.00 %]\n", + "Balance : 1.144e-06 [ 0.00 %]\n", + "Adjust : 0.699803 [ 18.38 %]\n", + "Total : 3.80836 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5796 777 338 95 136 \n", + "1 : 5888 695 311 111 137 \n", + "2 : 5819 722 359 125 117 \n", + "3 : 5874 674 345 122 127 \n", + "4 : 5836 723 325 126 132 \n", + "5 : 5908 702 314 112 106 \n", + "6 : 5859 746 304 118 115 \n", + "7 : 5881 709 328 110 114 \n", + "8 : 5857 728 318 118 121 \n", + "9 : 5872 671 355 112 132 \n", + "10 : 5858 700 363 112 109 \n", + "11 : 5823 746 327 121 125 \n", + "12 : 5882 705 316 125 114 \n", + "13 : 5862 722 331 116 123 \n", + "\n", + "T : 82015 10020 4634 1623 1708 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.0923e-02 sec\n", - "--- Collate = 8.1144e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.2875e-02 sec\n", + "--- Collate = 1.3186e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.305394e-06 < 6.250000e-03 [1226]\n", - "--- Max DT=1.135648e+00 > 1.000000e-01 [67874]\n", + "--- Min DT=1.874625e-06 < 6.250000e-03 [988]\n", + "--- Max DT=1.423776e+00 > 1.000000e-01 [68792]\n", "----------------------------------------------------------------------\n", - " Component | low: 1226/100000\n", - " Component | high: 67874/100000\n", + " Component | low: 988/100000\n", + " Component | high: 68792/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=67] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000473162 [ 0.29 %]\n", - "Velocity : 0.00263247 [ 1.62 %]\n", - "Force : 0.0598575 [ 36.90 %]\n", - "Coefs : 0.0236529 [ 14.58 %]\n", - "Output : 0.0062994 [ 3.88 %]\n", - "Levels : 0.000258156 [ 0.16 %]\n", - "Report : 1.396e-06 [ 0.00 %]\n", - "Balance : 6.58e-07 [ 0.00 %]\n", - "Adjust : 0.0689887 [ 42.53 %]\n", - "Total : 0.162213 [100.00 %]\n", + "Drift : 0.000722444 [ 0.02 %]\n", + "Velocity : 0.00590548 [ 0.19 %]\n", + "Force : 0.509549 [ 16.00 %]\n", + "Coefs : 1.97012 [ 61.85 %]\n", + "Output : 0.0113521 [ 0.36 %]\n", + "Levels : 0.000248799 [ 0.01 %]\n", + "Report : 1.445e-06 [ 0.00 %]\n", + "Balance : 4.99e-07 [ 0.00 %]\n", + "Adjust : 0.687409 [ 21.58 %]\n", + "Total : 3.18536 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5808 648 388 156 142 \n", - "1 : 5813 653 369 137 170 \n", - "2 : 5739 710 394 136 163 \n", - "3 : 5774 683 415 143 127 \n", - "4 : 5723 720 386 149 164 \n", - "5 : 5825 654 381 144 138 \n", - "6 : 5807 677 382 140 136 \n", - "7 : 5767 686 395 146 148 \n", - "8 : 5807 687 373 137 138 \n", - "9 : 5750 665 413 151 163 \n", - "10 : 5759 692 409 130 152 \n", - "11 : 5737 691 405 156 153 \n", - "12 : 5760 652 419 143 168 \n", - "13 : 5802 698 359 141 154 \n", + "0 : 5802 771 338 92 139 \n", + "1 : 5893 689 310 120 130 \n", + "2 : 5816 728 350 128 120 \n", + "3 : 5874 670 345 131 122 \n", + "4 : 5838 728 313 134 129 \n", + "5 : 5902 708 311 117 104 \n", + "6 : 5852 754 308 113 115 \n", + "7 : 5884 702 330 116 110 \n", + "8 : 5855 720 328 123 116 \n", + "9 : 5864 681 342 128 127 \n", + "10 : 5855 705 353 123 106 \n", + "11 : 5820 748 325 137 112 \n", + "12 : 5885 696 325 123 113 \n", + "13 : 5865 721 327 112 129 \n", "\n", - "T : 80871 9516 5488 2009 2116 [100000]\n", + "T : 82005 10021 4605 1697 1672 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.2363e-02 sec\n", - "--- Collate = 8.2375e-05 sec\n", + "--- Coef/DT = 30.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 5.7154e-02 sec\n", + "--- Collate = 9.4023e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.024852e-07 < 6.250000e-03 [1252]\n", - "--- Max DT=1.141809e+00 > 1.000000e-01 [67908]\n", + "--- Min DT=1.496228e-06 < 6.250000e-03 [967]\n", + "--- Max DT=1.430177e+00 > 1.000000e-01 [68787]\n", "----------------------------------------------------------------------\n", - " Component | low: 1252/100000\n", - " Component | high: 67908/100000\n", + " Component | low: 967/100000\n", + " Component | high: 68787/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=67.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000881296 [ 0.55 %]\n", - "Velocity : 0.00350756 [ 2.20 %]\n", - "Force : 0.0594339 [ 37.26 %]\n", - "Coefs : 0.0231635 [ 14.52 %]\n", - "Output : 0.0016223 [ 1.02 %]\n", - "Levels : 0.000259027 [ 0.16 %]\n", - "Report : 1.635e-06 [ 0.00 %]\n", - "Balance : 5.79e-07 [ 0.00 %]\n", - "Adjust : 0.0705982 [ 44.26 %]\n", - "Total : 0.159526 [100.00 %]\n", + "Drift : 0.000524924 [ 0.01 %]\n", + "Velocity : 0.00230997 [ 0.06 %]\n", + "Force : 0.65707 [ 17.59 %]\n", + "Coefs : 2.25522 [ 60.37 %]\n", + "Output : 0.00142191 [ 0.04 %]\n", + "Levels : 0.000295288 [ 0.01 %]\n", + "Report : 1.136e-06 [ 0.00 %]\n", + "Balance : 3.99e-07 [ 0.00 %]\n", + "Adjust : 0.81854 [ 21.91 %]\n", + "Total : 3.73544 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5817 638 396 151 140 \n", - "1 : 5809 657 362 155 159 \n", - "2 : 5736 714 383 154 155 \n", - "3 : 5765 701 401 146 129 \n", - "4 : 5722 716 388 146 170 \n", - "5 : 5834 642 393 139 134 \n", - "6 : 5805 677 386 135 139 \n", - "7 : 5765 695 383 144 155 \n", - "8 : 5806 687 371 146 132 \n", - "9 : 5746 669 408 160 159 \n", - "10 : 5753 700 410 127 152 \n", - "11 : 5742 680 408 158 154 \n", - "12 : 5766 648 419 137 172 \n", - "13 : 5807 689 360 150 148 \n", + "0 : 5806 766 341 90 139 \n", + "1 : 5894 680 320 119 129 \n", + "2 : 5818 728 343 133 120 \n", + "3 : 5875 666 348 134 119 \n", + "4 : 5838 734 308 131 131 \n", + "5 : 5902 707 316 116 101 \n", + "6 : 5864 740 311 118 109 \n", + "7 : 5879 712 316 118 117 \n", + "8 : 5855 722 325 114 126 \n", + "9 : 5864 679 341 131 127 \n", + "10 : 5858 707 348 128 101 \n", + "11 : 5823 739 331 135 114 \n", + "12 : 5889 690 330 119 114 \n", + "13 : 5862 722 334 110 126 \n", "\n", - "T : 80873 9513 5468 2048 2098 [100000]\n", + "T : 82027 9992 4612 1696 1673 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 1.0936e-02 sec\n", - "--- Collate = 7.0667e-05 sec\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.8510e-02 sec\n", + "--- Collate = 5.0252e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.869252e-06 < 6.250000e-03 [1265]\n", - "--- Max DT=1.147973e+00 > 1.000000e-01 [67944]\n", + "--- Min DT=3.687436e-06 < 6.250000e-03 [980]\n", + "--- Max DT=1.436582e+00 > 1.000000e-01 [68773]\n", "----------------------------------------------------------------------\n", - " Component | low: 1265/100000\n", - " Component | high: 67944/100000\n", + " Component | low: 980/100000\n", + " Component | high: 68773/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=67.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00120708 [ 0.74 %]\n", - "Velocity : 0.00298593 [ 1.84 %]\n", - "Force : 0.0603223 [ 37.20 %]\n", - "Coefs : 0.024273 [ 14.97 %]\n", - "Output : 0.00127425 [ 0.79 %]\n", - "Levels : 0.000213978 [ 0.13 %]\n", - "Report : 1.104e-06 [ 0.00 %]\n", - "Balance : 3.57e-07 [ 0.00 %]\n", - "Adjust : 0.071819 [ 44.29 %]\n", - "Total : 0.162154 [100.00 %]\n", + "Drift : 0.000504115 [ 0.02 %]\n", + "Velocity : 0.00191337 [ 0.06 %]\n", + "Force : 0.505212 [ 15.54 %]\n", + "Coefs : 2.02356 [ 62.24 %]\n", + "Output : 0.00129845 [ 0.04 %]\n", + "Levels : 0.00113924 [ 0.04 %]\n", + "Report : 1.26e-06 [ 0.00 %]\n", + "Balance : 7.37e-07 [ 0.00 %]\n", + "Adjust : 0.717491 [ 22.07 %]\n", + "Total : 3.25117 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5816 646 392 142 146 \n", - "1 : 5799 673 348 173 149 \n", - "2 : 5742 718 372 162 148 \n", - "3 : 5769 697 407 141 128 \n", - "4 : 5717 713 396 156 160 \n", - "5 : 5831 645 381 146 139 \n", - "6 : 5802 676 393 131 140 \n", - "7 : 5760 701 377 141 163 \n", - "8 : 5801 688 371 145 137 \n", - "9 : 5747 662 423 147 163 \n", - "10 : 5752 702 408 130 150 \n", - "11 : 5743 671 412 159 157 \n", - "12 : 5768 644 410 145 175 \n", - "13 : 5804 692 360 148 150 \n", + "0 : 5807 758 351 101 125 \n", + "1 : 5894 678 319 127 124 \n", + "2 : 5824 717 348 142 111 \n", + "3 : 5875 658 356 134 119 \n", + "4 : 5837 733 312 130 130 \n", + "5 : 5899 710 315 114 104 \n", + "6 : 5860 746 314 106 116 \n", + "7 : 5877 707 321 113 124 \n", + "8 : 5849 728 329 107 129 \n", + "9 : 5860 689 336 130 127 \n", + "10 : 5853 713 351 122 103 \n", + "11 : 5824 732 339 127 120 \n", + "12 : 5891 690 328 121 112 \n", + "13 : 5864 725 323 124 118 \n", "\n", - "T : 80851 9528 5450 2066 2105 [100000]\n", + "T : 82014 9984 4642 1698 1662 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.1099e-02 sec\n", - "--- Collate = 8.1380e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 5.2540e-02 sec\n", + "--- Collate = 8.0155e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.006882e-05 < 6.250000e-03 [1280]\n", - "--- Max DT=1.154143e+00 > 1.000000e-01 [67978]\n", + "--- Min DT=1.801642e-07 < 6.250000e-03 [1007]\n", + "--- Max DT=1.442990e+00 > 1.000000e-01 [68774]\n", "----------------------------------------------------------------------\n", - " Component | low: 1280/100000\n", - " Component | high: 67978/100000\n", + " Component | low: 1007/100000\n", + " Component | high: 68774/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=67.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000675101 [ 0.39 %]\n", - "Velocity : 0.00320615 [ 1.86 %]\n", - "Force : 0.0649104 [ 37.65 %]\n", - "Coefs : 0.0293796 [ 17.04 %]\n", - "Output : 0.00142059 [ 0.82 %]\n", - "Levels : 0.000230588 [ 0.13 %]\n", - "Report : 9.53e-07 [ 0.00 %]\n", - "Balance : 4.52e-07 [ 0.00 %]\n", - "Adjust : 0.0725322 [ 42.07 %]\n", - "Total : 0.172415 [100.00 %]\n", + "Drift : 0.000491515 [ 0.02 %]\n", + "Velocity : 0.00177234 [ 0.06 %]\n", + "Force : 0.4626 [ 15.77 %]\n", + "Coefs : 1.89077 [ 64.45 %]\n", + "Output : 0.000963679 [ 0.03 %]\n", + "Levels : 0.00025449 [ 0.01 %]\n", + "Report : 1.273e-06 [ 0.00 %]\n", + "Balance : 4.56e-07 [ 0.00 %]\n", + "Adjust : 0.576738 [ 19.66 %]\n", + "Total : 2.93365 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5824 641 388 143 146 \n", - "1 : 5787 685 337 183 150 \n", - "2 : 5737 726 373 148 158 \n", - "3 : 5766 690 415 142 129 \n", - "4 : 5717 714 395 148 168 \n", - "5 : 5830 643 379 152 138 \n", - "6 : 5805 666 392 133 146 \n", - "7 : 5762 697 375 139 169 \n", - "8 : 5809 683 366 140 144 \n", - "9 : 5753 666 414 144 165 \n", - "10 : 5755 711 389 133 154 \n", - "11 : 5735 682 422 150 153 \n", - "12 : 5775 643 408 147 169 \n", - "13 : 5801 697 353 151 152 \n", + "0 : 5803 759 351 115 114 \n", + "1 : 5886 686 323 122 125 \n", + "2 : 5826 711 351 135 119 \n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3 : 5869 659 373 121 120 \n", + "4 : 5839 723 323 130 127 \n", + "5 : 5899 705 327 102 109 \n", + "6 : 5870 736 309 111 116 \n", + "7 : 5877 710 317 118 120 \n", + "8 : 5843 729 339 101 130 \n", + "9 : 5862 690 338 126 126 \n", + "10 : 5847 713 354 119 109 \n", + "11 : 5826 719 357 115 125 \n", + "12 : 5887 699 324 116 116 \n", + "13 : 5863 715 333 128 115 \n", "\n", - "T : 80856 9544 5406 2053 2141 [100000]\n", + "T : 81997 9954 4719 1659 1671 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.4%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 1.1303e-02 sec\n", - "--- Collate = 7.2901e-05 sec\n", + "--- Coef/DT = 15.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 5.6609e-02 sec\n", + "--- Collate = 1.0242e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.336932e-07 < 6.250000e-03 [1271]\n", - "--- Max DT=1.160317e+00 > 1.000000e-01 [68008]\n", + "--- Min DT=2.965497e-06 < 6.250000e-03 [1011]\n", + "--- Max DT=1.449402e+00 > 1.000000e-01 [68769]\n", "----------------------------------------------------------------------\n", - " Component | low: 1271/100000\n", - " Component | high: 68008/100000\n", + " Component | low: 1011/100000\n", + " Component | high: 68769/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=67.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00099739 [ 0.62 %]\n", - "Velocity : 0.00308861 [ 1.92 %]\n", - "Force : 0.0610787 [ 37.97 %]\n", - "Coefs : 0.0249436 [ 15.51 %]\n", - "Output : 0.00140601 [ 0.87 %]\n", - "Levels : 0.000302357 [ 0.19 %]\n", - "Report : 1.428e-06 [ 0.00 %]\n", - "Balance : 4.15e-07 [ 0.00 %]\n", - "Adjust : 0.0689691 [ 42.88 %]\n", - "Total : 0.160841 [100.00 %]\n", + "Drift : 0.00051447 [ 0.01 %]\n", + "Velocity : 0.00172883 [ 0.05 %]\n", + "Force : 0.640932 [ 17.50 %]\n", + "Coefs : 2.24228 [ 61.23 %]\n", + "Output : 0.000957792 [ 0.03 %]\n", + "Levels : 0.000300868 [ 0.01 %]\n", + "Report : 1.245e-06 [ 0.00 %]\n", + "Balance : 4.12e-07 [ 0.00 %]\n", + "Adjust : 0.775315 [ 21.17 %]\n", + "Total : 3.66208 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5824 643 393 141 141 \n", - "1 : 5790 689 342 168 153 \n", - "2 : 5731 735 380 137 159 \n", - "3 : 5762 704 407 139 130 \n", - "4 : 5723 715 391 148 165 \n", - "5 : 5833 646 374 148 141 \n", - "6 : 5804 680 380 136 142 \n", - "7 : 5760 701 379 137 165 \n", - "8 : 5811 678 367 145 141 \n", - "9 : 5758 664 406 153 161 \n", - "10 : 5750 710 388 140 154 \n", - "11 : 5732 691 413 146 160 \n", - "12 : 5787 630 401 159 165 \n", - "13 : 5797 701 347 156 153 \n", + "0 : 5802 759 350 116 115 \n", + "1 : 5886 688 326 116 126 \n", + "2 : 5827 715 351 130 119 \n", + "3 : 5873 664 372 118 115 \n", + "4 : 5835 721 323 131 132 \n", + "5 : 5893 707 326 106 110 \n", + "6 : 5871 743 301 105 122 \n", + "7 : 5876 713 306 123 124 \n", + "8 : 5852 723 327 110 130 \n", + "9 : 5863 685 346 122 126 \n", + "10 : 5849 715 345 120 113 \n", + "11 : 5822 719 361 115 125 \n", + "12 : 5888 695 328 112 119 \n", + "13 : 5859 719 332 119 125 \n", "\n", - "T : 80862 9587 5368 2053 2130 [100000]\n", + "T : 81996 9966 4694 1643 1701 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.3%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.1403e-02 sec\n", - "--- Collate = 8.0058e-05 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 5.3274e-02 sec\n", + "--- Collate = 6.0409e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.246110e-06 < 6.250000e-03 [1250]\n", - "--- Max DT=1.166495e+00 > 1.000000e-01 [68024]\n", + "--- Min DT=1.949859e-07 < 6.250000e-03 [1026]\n", + "--- Max DT=1.455818e+00 > 1.000000e-01 [68764]\n", "----------------------------------------------------------------------\n", - " Component | low: 1250/100000\n", - " Component | high: 68024/100000\n", + " Component | low: 1026/100000\n", + " Component | high: 68764/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=67.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000851795 [ 0.52 %]\n", - "Velocity : 0.00267316 [ 1.64 %]\n", - "Force : 0.0615032 [ 37.65 %]\n", - "Coefs : 0.0250535 [ 15.34 %]\n", - "Output : 0.00129121 [ 0.79 %]\n", - "Levels : 0.000257429 [ 0.16 %]\n", - "Report : 1.962e-06 [ 0.00 %]\n", - "Balance : 5.53e-07 [ 0.00 %]\n", - "Adjust : 0.0716651 [ 43.87 %]\n", - "Total : 0.163347 [100.00 %]\n", + "Drift : 0.000660217 [ 0.02 %]\n", + "Velocity : 0.00253914 [ 0.07 %]\n", + "Force : 0.634648 [ 16.81 %]\n", + "Coefs : 2.37353 [ 62.88 %]\n", + "Output : 0.00145144 [ 0.04 %]\n", + "Levels : 0.000476023 [ 0.01 %]\n", + "Report : 9.26e-07 [ 0.00 %]\n", + "Balance : 5.43e-07 [ 0.00 %]\n", + "Adjust : 0.761497 [ 20.17 %]\n", + "Total : 3.77485 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5827 643 388 145 139 \n", - "1 : 5797 694 328 164 159 \n", - "2 : 5743 725 375 140 159 \n", - "3 : 5764 705 396 148 129 \n", - "4 : 5723 715 391 144 169 \n", - "5 : 5829 641 389 142 141 \n", - "6 : 5806 679 377 133 147 \n", - "7 : 5764 705 364 143 166 \n", - "8 : 5815 672 364 148 143 \n", - "9 : 5761 658 408 157 158 \n", - "10 : 5758 695 398 138 153 \n", - "11 : 5732 697 411 144 158 \n", - "12 : 5794 622 407 157 162 \n", - "13 : 5798 702 352 148 154 \n", + "0 : 5805 757 348 116 116 \n", + "1 : 5883 693 335 103 128 \n", + "2 : 5819 727 349 121 126 \n", + "3 : 5869 668 373 114 118 \n", + "4 : 5836 720 320 138 128 \n", + "5 : 5894 715 316 112 105 \n", + "6 : 5876 744 298 100 124 \n", + "7 : 5877 711 317 111 126 \n", + "8 : 5843 726 337 103 133 \n", + "9 : 5870 676 345 124 127 \n", + "10 : 5844 719 341 125 113 \n", + "11 : 5826 716 361 108 131 \n", + "12 : 5886 692 345 98 121 \n", + "13 : 5862 709 342 117 124 \n", "\n", - "T : 80911 9553 5348 2051 2137 [100000]\n", + "T : 81990 9973 4727 1590 1720 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 9.8104e-03 sec\n", - "--- Collate = 8.9855e-05 sec\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 5.0394e-02 sec\n", + "--- Collate = 7.0124e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.465881e-06 < 6.250000e-03 [1256]\n", - "--- Max DT=1.172678e+00 > 1.000000e-01 [68045]\n", + "--- Min DT=2.512906e-06 < 6.250000e-03 [1043]\n", + "--- Max DT=1.462238e+00 > 1.000000e-01 [68772]\n", "----------------------------------------------------------------------\n", - " Component | low: 1256/100000\n", - " Component | high: 68045/100000\n", + " Component | low: 1043/100000\n", + " Component | high: 68772/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=67.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000720316 [ 0.47 %]\n", - "Velocity : 0.00226583 [ 1.47 %]\n", - "Force : 0.0602573 [ 39.10 %]\n", - "Coefs : 0.0250332 [ 16.25 %]\n", - "Output : 0.000767559 [ 0.50 %]\n", - "Levels : 0.000265658 [ 0.17 %]\n", - "Report : 1.388e-06 [ 0.00 %]\n", - "Balance : 6.1e-07 [ 0.00 %]\n", - "Adjust : 0.064724 [ 42.00 %]\n", - "Total : 0.154091 [100.00 %]\n", + "Drift : 0.000803296 [ 0.03 %]\n", + "Velocity : 0.00288565 [ 0.09 %]\n", + "Force : 0.551181 [ 17.29 %]\n", + "Coefs : 1.98048 [ 62.11 %]\n", + "Output : 0.00153863 [ 0.05 %]\n", + "Levels : 0.000321927 [ 0.01 %]\n", + "Report : 6.16e-07 [ 0.00 %]\n", + "Balance : 2.96e-07 [ 0.00 %]\n", + "Adjust : 0.651423 [ 20.43 %]\n", + "Total : 3.18869 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5824 641 395 136 146 \n", - "1 : 5798 697 328 159 160 \n", - "2 : 5743 730 363 149 157 \n", - "3 : 5770 699 391 152 130 \n", - "4 : 5722 719 383 146 172 \n", - "5 : 5826 642 389 146 139 \n", - "6 : 5805 672 388 133 144 \n", - "7 : 5765 703 366 138 170 \n", - "8 : 5810 683 365 139 145 \n", - "9 : 5757 666 413 158 148 \n", - "10 : 5756 707 384 143 152 \n", - "11 : 5735 691 410 145 161 \n", - "12 : 5797 617 406 163 159 \n", - "13 : 5807 690 360 143 154 \n", + "0 : 5809 748 361 108 116 \n", + "1 : 5884 689 339 112 118 \n", + "2 : 5822 728 354 110 128 \n", + "3 : 5872 667 372 115 116 \n", + "4 : 5835 723 328 134 122 \n", + "5 : 5893 708 331 106 104 \n", + "6 : 5874 749 292 101 126 \n", + "7 : 5878 710 319 108 127 \n", + "8 : 5849 719 345 95 134 \n", + "9 : 5867 681 346 131 117 \n", + "10 : 5840 722 339 128 113 \n", + "11 : 5826 712 357 112 135 \n", + "12 : 5885 693 346 102 116 \n", + "13 : 5856 719 339 114 126 \n", "\n", - "T : 80915 9557 5341 2050 2137 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81990 9968 4768 1576 1698 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0505e-02 sec\n", - "--- Collate = 7.7539e-05 sec\n", + "--- Coef/DT = 46.1%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 6.4245e-02 sec\n", + "--- Collate = 1.1005e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.243938e-06 < 6.250000e-03 [1251]\n", - "--- Max DT=1.178866e+00 > 1.000000e-01 [68078]\n", + "--- Min DT=5.025496e-06 < 6.250000e-03 [1036]\n", + "--- Max DT=1.468662e+00 > 1.000000e-01 [68779]\n", "----------------------------------------------------------------------\n", - " Component | low: 1251/100000\n", - " Component | high: 68078/100000\n", + " Component | low: 1036/100000\n", + " Component | high: 68779/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=67.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000799683 [ 0.53 %]\n", - "Velocity : 0.0025824 [ 1.70 %]\n", - "Force : 0.0567904 [ 37.32 %]\n", - "Coefs : 0.0238234 [ 15.66 %]\n", - "Output : 0.000858304 [ 0.56 %]\n", - "Levels : 0.00019383 [ 0.13 %]\n", - "Report : 1.216e-06 [ 0.00 %]\n", - "Balance : 6.39e-07 [ 0.00 %]\n", - "Adjust : 0.0670706 [ 44.08 %]\n", - "Total : 0.152167 [100.00 %]\n", + "Drift : 0.00125868 [ 0.04 %]\n", + "Velocity : 0.00316821 [ 0.11 %]\n", + "Force : 0.560203 [ 18.76 %]\n", + "Coefs : 1.76303 [ 59.03 %]\n", + "Output : 0.00145257 [ 0.05 %]\n", + "Levels : 0.000357443 [ 0.01 %]\n", + "Report : 7.98e-07 [ 0.00 %]\n", + "Balance : 2.61e-07 [ 0.00 %]\n", + "Adjust : 0.657012 [ 22.00 %]\n", + "Total : 2.98653 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5818 651 388 138 147 \n", - "1 : 5794 705 329 152 162 \n", - "2 : 5738 732 367 145 160 \n", - "3 : 5770 699 388 152 133 \n", - "4 : 5718 714 390 144 176 \n", - "5 : 5822 641 398 140 141 \n", - "6 : 5808 668 377 150 139 \n", - "7 : 5762 698 375 149 158 \n", - "8 : 5820 677 360 141 144 \n", - "9 : 5762 663 411 148 158 \n", - "10 : 5753 715 376 144 154 \n", - "11 : 5729 690 415 143 165 \n", - "12 : 5799 616 408 154 165 \n", - "13 : 5801 693 365 140 155 \n", + "0 : 5811 737 371 105 118 \n", + "1 : 5879 692 338 113 120 \n", + "2 : 5818 725 358 107 134 \n", + "3 : 5873 671 369 113 116 \n", + "4 : 5832 725 333 132 120 \n", + "5 : 5896 707 326 106 107 \n", + "6 : 5879 732 302 106 123 \n", + "7 : 5870 719 317 111 125 \n", + "8 : 5845 717 345 102 133 \n", + "9 : 5859 685 344 131 123 \n", + "10 : 5839 720 338 128 117 \n", + "11 : 5829 703 354 120 136 \n", + "12 : 5890 685 350 101 116 \n", + "13 : 5859 717 335 117 126 \n", "\n", - "T : 80894 9562 5347 2040 2157 [100000]\n", + "T : 81979 9935 4780 1592 1714 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.1119e-02 sec\n", - "--- Collate = 8.7535e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 4.1893e-02 sec\n", + "--- Collate = 4.0269e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.115367e-07 < 6.250000e-03 [1275]\n", - "--- Max DT=1.185057e+00 > 1.000000e-01 [68105]\n", + "--- Min DT=2.348950e-07 < 6.250000e-03 [1037]\n", + "--- Max DT=1.475089e+00 > 1.000000e-01 [68768]\n", "----------------------------------------------------------------------\n", - " Component | low: 1275/100000\n", - " Component | high: 68105/100000\n", + " Component | low: 1037/100000\n", + " Component | high: 68768/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=67.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000680228 [ 0.42 %]\n", - "Velocity : 0.00233299 [ 1.45 %]\n", - "Force : 0.060907 [ 37.73 %]\n", - "Coefs : 0.0255414 [ 15.82 %]\n", - "Output : 0.000876333 [ 0.54 %]\n", - "Levels : 0.000225405 [ 0.14 %]\n", - "Report : 1.222e-06 [ 0.00 %]\n", - "Balance : 5.6e-07 [ 0.00 %]\n", - "Adjust : 0.0708135 [ 43.86 %]\n", - "Total : 0.161437 [100.00 %]\n", + "Drift : 0.000534411 [ 0.02 %]\n", + "Velocity : 0.00347929 [ 0.10 %]\n", + "Force : 0.573886 [ 17.24 %]\n", + "Coefs : 2.09881 [ 63.05 %]\n", + "Output : 0.00153569 [ 0.05 %]\n", + "Levels : 0.000285807 [ 0.01 %]\n", + "Report : 7.29e-07 [ 0.00 %]\n", + "Balance : 2.79e-07 [ 0.00 %]\n", + "Adjust : 0.650233 [ 19.53 %]\n", + "Total : 3.32882 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5817 656 381 137 151 \n", - "1 : 5799 702 340 136 165 \n", - "2 : 5738 732 358 165 149 \n", - "3 : 5768 697 386 153 138 \n", - "4 : 5733 697 396 143 173 \n", - "5 : 5823 639 399 148 133 \n", - "6 : 5812 663 373 157 137 \n", - "7 : 5766 693 375 146 162 \n", - "8 : 5818 675 360 134 155 \n", - "9 : 5759 663 421 153 146 \n", - "10 : 5749 713 372 153 155 \n", - "11 : 5741 679 416 142 164 \n", - "12 : 5803 613 411 156 159 \n", - "13 : 5805 691 363 138 157 \n", + "0 : 5819 730 367 120 106 \n", + "1 : 5878 694 334 112 124 \n", + "2 : 5824 723 347 113 135 \n", + "3 : 5874 673 364 112 119 \n", + "4 : 5838 714 339 125 126 \n", + "5 : 5891 709 333 105 104 \n", + "6 : 5875 732 310 103 122 \n", + "7 : 5865 724 317 111 125 \n", + "8 : 5849 713 349 96 135 \n", + "9 : 5863 684 340 128 127 \n", + "10 : 5845 705 340 129 123 \n", + "11 : 5830 692 360 132 128 \n", + "12 : 5885 694 340 105 118 \n", + "13 : 5857 717 337 112 131 \n", "\n", - "T : 80931 9513 5351 2061 2144 [100000]\n", + "T : 81993 9904 4777 1603 1723 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.1113e-02 sec\n", - "--- Collate = 8.0407e-05 sec\n", + "--- Coef/DT = 30.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 4.4073e-02 sec\n", + "--- Collate = 5.0149e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.494774e-06 < 6.250000e-03 [1259]\n", - "--- Max DT=1.191254e+00 > 1.000000e-01 [68142]\n", + "--- Min DT=8.231053e-06 < 6.250000e-03 [1026]\n", + "--- Max DT=1.481520e+00 > 1.000000e-01 [68764]\n", "----------------------------------------------------------------------\n", - " Component | low: 1259/100000\n", - " Component | high: 68142/100000\n", + " Component | low: 1026/100000\n", + " Component | high: 68764/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=67.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000671728 [ 0.42 %]\n", - "Velocity : 0.00242747 [ 1.52 %]\n", - "Force : 0.060372 [ 37.80 %]\n", - "Coefs : 0.0250773 [ 15.70 %]\n", - "Output : 0.000877206 [ 0.55 %]\n", - "Levels : 0.000209166 [ 0.13 %]\n", - "Report : 1.156e-06 [ 0.00 %]\n", - "Balance : 4.43e-07 [ 0.00 %]\n", - "Adjust : 0.0700388 [ 43.85 %]\n", - "Total : 0.159732 [100.00 %]\n", + "Drift : 0.000751946 [ 0.02 %]\n", + "Velocity : 0.00344014 [ 0.10 %]\n", + "Force : 0.581432 [ 17.54 %]\n", + "Coefs : 2.02289 [ 61.02 %]\n", + "Output : 0.0015787 [ 0.05 %]\n", + "Levels : 0.000285533 [ 0.01 %]\n", + "Report : 7.41e-07 [ 0.00 %]\n", + "Balance : 6.89e-07 [ 0.00 %]\n", + "Adjust : 0.70473 [ 21.26 %]\n", + "Total : 3.31517 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5817 655 383 130 157 \n", - "1 : 5806 695 347 124 170 \n", - "2 : 5744 721 371 164 142 \n", - "3 : 5775 696 386 142 143 \n", - "4 : 5735 689 397 154 167 \n", - "5 : 5821 640 403 149 129 \n", - "6 : 5808 666 377 156 135 \n", - "7 : 5767 692 385 144 154 \n", - "8 : 5819 673 368 131 151 \n", - "9 : 5757 663 417 149 156 \n", - "10 : 5747 715 377 152 151 \n", - "11 : 5743 671 424 144 160 \n", - "12 : 5798 621 408 156 159 \n", - "13 : 5798 701 365 127 163 \n", + "0 : 5816 730 371 118 107 \n", + "1 : 5882 691 333 113 123 \n", + "2 : 5825 721 350 115 131 \n", + "3 : 5870 672 368 113 119 \n", + "4 : 5844 695 356 125 122 \n", + "5 : 5885 712 343 102 100 \n", + "6 : 5877 734 307 103 121 \n", + "7 : 5865 722 318 121 116 \n", + "8 : 5845 719 344 102 132 \n", + "9 : 5863 686 336 129 128 \n", + "10 : 5842 713 329 132 126 \n", + "11 : 5835 675 370 135 127 \n", + "12 : 5890 696 330 114 112 \n", + "13 : 5855 719 337 116 127 \n", "\n", - "T : 80935 9498 5408 2022 2137 [100000]\n", + "T : 81994 9885 4792 1638 1691 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.8%\n", - "--- Adj/Tot = 2.3%\n", - "--- Update = 1.1513e-02 sec\n", - "--- Collate = 7.7564e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 4.4452e-02 sec\n", + "--- Collate = 2.2734e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.928408e-06 < 6.250000e-03 [1256]\n", - "--- Max DT=1.197454e+00 > 1.000000e-01 [68193]\n", + "--- Min DT=5.894875e-06 < 6.250000e-03 [989]\n", + "--- Max DT=1.487954e+00 > 1.000000e-01 [68778]\n", "----------------------------------------------------------------------\n", - " Component | low: 1256/100000\n", - " Component | high: 68193/100000\n", + " Component | low: 989/100000\n", + " Component | high: 68778/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=68] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000676642 [ 0.41 %]\n", - "Velocity : 0.00251806 [ 1.54 %]\n", - "Force : 0.0587545 [ 35.95 %]\n", - "Coefs : 0.0250868 [ 15.35 %]\n", - "Output : 0.00550985 [ 3.37 %]\n", - "Levels : 0.000258133 [ 0.16 %]\n", - "Report : 1.369e-06 [ 0.00 %]\n", - "Balance : 6.35e-07 [ 0.00 %]\n", - "Adjust : 0.0705519 [ 43.17 %]\n", - "Total : 0.163419 [100.00 %]\n", + "Drift : 0.000804908 [ 0.03 %]\n", + "Velocity : 0.00220616 [ 0.08 %]\n", + "Force : 0.530818 [ 19.30 %]\n", + "Coefs : 1.6527 [ 60.10 %]\n", + "Output : 0.00651103 [ 0.24 %]\n", + "Levels : 0.000222997 [ 0.01 %]\n", + "Report : 1.182e-06 [ 0.00 %]\n", + "Balance : 5.42e-07 [ 0.00 %]\n", + "Adjust : 0.556634 [ 20.24 %]\n", + "Total : 2.74995 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5814 665 377 120 166 \n", - "1 : 5819 671 358 134 160 \n", - "2 : 5744 727 371 161 139 \n", - "3 : 5772 693 393 139 145 \n", - "4 : 5731 696 401 146 168 \n", - "5 : 5826 635 404 146 131 \n", - "6 : 5803 668 377 151 143 \n", - "7 : 5768 697 383 143 151 \n", - "8 : 5818 678 356 139 151 \n", - "9 : 5753 666 425 146 152 \n", - "10 : 5756 707 381 142 156 \n", - "11 : 5736 673 427 150 156 \n", - "12 : 5797 628 399 154 164 \n", - "13 : 5804 701 355 132 162 \n", + "0 : 5813 725 371 123 110 \n", + "1 : 5881 701 317 123 120 \n", + "2 : 5826 716 344 122 134 \n", + "3 : 5873 669 363 116 121 \n", + "4 : 5844 686 373 119 120 \n", + "5 : 5885 714 338 103 102 \n", + "6 : 5876 739 303 99 125 \n", + "7 : 5862 723 316 124 117 \n", + "8 : 5849 713 343 117 120 \n", + "9 : 5860 690 340 122 130 \n", + "10 : 5845 701 335 127 134 \n", + "11 : 5832 683 377 125 125 \n", + "12 : 5890 695 333 116 108 \n", + "13 : 5855 714 341 116 128 \n", "\n", - "T : 80941 9505 5407 2003 2144 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81991 9869 4794 1652 1694 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.1345e-02 sec\n", - "--- Collate = 9.6997e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 4.2623e-02 sec\n", + "--- Collate = 3.0550e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.179323e-06 < 6.250000e-03 [1259]\n", - "--- Max DT=1.203659e+00 > 1.000000e-01 [68246]\n", + "--- Min DT=5.141484e-06 < 6.250000e-03 [991]\n", + "--- Max DT=1.494392e+00 > 1.000000e-01 [68799]\n", "----------------------------------------------------------------------\n", - " Component | low: 1259/100000\n", - " Component | high: 68246/100000\n", + " Component | low: 991/100000\n", + " Component | high: 68799/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=68.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000989364 [ 0.60 %]\n", - "Velocity : 0.00327915 [ 1.99 %]\n", - "Force : 0.0618741 [ 37.57 %]\n", - "Coefs : 0.0243316 [ 14.78 %]\n", - "Output : 0.00100464 [ 0.61 %]\n", - "Levels : 0.000344009 [ 0.21 %]\n", - "Report : 2.456e-06 [ 0.00 %]\n", - "Balance : 8.11e-07 [ 0.00 %]\n", - "Adjust : 0.0727809 [ 44.20 %]\n", - "Total : 0.164672 [100.00 %]\n", + "Drift : 0.000514371 [ 0.02 %]\n", + "Velocity : 0.00767868 [ 0.25 %]\n", + "Force : 0.525886 [ 17.27 %]\n", + "Coefs : 1.8518 [ 60.81 %]\n", + "Output : 0.00128875 [ 0.04 %]\n", + "Levels : 0.000775054 [ 0.03 %]\n", + "Report : 9.79e-07 [ 0.00 %]\n", + "Balance : 3.76e-07 [ 0.00 %]\n", + "Adjust : 0.657269 [ 21.58 %]\n", + "Total : 3.04526 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5817 665 372 125 163 \n", - "1 : 5814 676 368 124 160 \n", - "2 : 5747 737 360 157 141 \n", - "3 : 5775 691 402 135 139 \n", - "4 : 5734 702 391 143 172 \n", - "5 : 5818 653 396 139 136 \n", - "6 : 5812 656 377 156 141 \n", - "7 : 5769 694 379 141 159 \n", - "8 : 5820 670 365 134 153 \n", - "9 : 5746 669 429 146 152 \n", - "10 : 5754 710 380 140 158 \n", - "11 : 5734 676 425 145 162 \n", - "12 : 5808 610 408 163 153 \n", - "13 : 5802 698 360 143 151 \n", + "0 : 5819 718 369 122 114 \n", + "1 : 5882 696 323 120 121 \n", + "2 : 5826 714 339 127 136 \n", + "3 : 5867 673 369 117 116 \n", + "4 : 5838 697 359 127 121 \n", + "5 : 5886 710 343 101 102 \n", + "6 : 5879 737 296 105 125 \n", + "7 : 5856 725 315 127 119 \n", + "8 : 5849 705 353 117 118 \n", + "9 : 5858 694 341 118 131 \n", + "10 : 5845 702 336 129 130 \n", + "11 : 5831 686 375 132 118 \n", + "12 : 5892 697 333 114 106 \n", + "13 : 5856 706 355 115 122 \n", "\n", - "T : 80950 9507 5412 1991 2140 [100000]\n", + "T : 81984 9860 4806 1671 1679 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.9%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.1484e-02 sec\n", - "--- Collate = 8.3616e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 5.3109e-02 sec\n", + "--- Collate = 1.1032e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.501985e-06 < 6.250000e-03 [1209]\n", - "--- Max DT=1.209868e+00 > 1.000000e-01 [68284]\n", + "--- Min DT=1.099712e-05 < 6.250000e-03 [994]\n", + "--- Max DT=1.500834e+00 > 1.000000e-01 [68788]\n", "----------------------------------------------------------------------\n", - " Component | low: 1209/100000\n", - " Component | high: 68284/100000\n", + " Component | low: 994/100000\n", + " Component | high: 68788/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=68.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000746775 [ 0.37 %]\n", - "Velocity : 0.00377907 [ 1.88 %]\n", - "Force : 0.0801483 [ 39.88 %]\n", - "Coefs : 0.0260106 [ 12.94 %]\n", - "Output : 0.00135396 [ 0.67 %]\n", - "Levels : 0.000235506 [ 0.12 %]\n", - "Report : 1.224e-06 [ 0.00 %]\n", - "Balance : 5.68e-07 [ 0.00 %]\n", - "Adjust : 0.0886576 [ 44.11 %]\n", - "Total : 0.200993 [100.00 %]\n", + "Drift : 0.000480938 [ 0.02 %]\n", + "Velocity : 0.00245578 [ 0.08 %]\n", + "Force : 0.552186 [ 18.18 %]\n", + "Coefs : 1.80975 [ 59.60 %]\n", + "Output : 0.00129795 [ 0.04 %]\n", + "Levels : 0.000224062 [ 0.01 %]\n", + "Report : 9.33e-07 [ 0.00 %]\n", + "Balance : 3.02e-07 [ 0.00 %]\n", + "Adjust : 0.670286 [ 22.07 %]\n", + "Total : 3.03673 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5818 670 361 134 159 \n", - "1 : 5817 667 373 125 160 \n", - "2 : 5739 742 376 150 135 \n", - "3 : 5777 690 402 134 139 \n", - "4 : 5732 703 397 145 165 \n", - "5 : 5828 638 398 146 132 \n", - "6 : 5809 670 369 152 142 \n", - "7 : 5760 706 380 139 157 \n", - "8 : 5825 663 361 150 143 \n", - "9 : 5745 673 430 143 151 \n", - "10 : 5759 704 380 135 164 \n", - "11 : 5736 674 422 151 159 \n", - "12 : 5809 631 391 161 150 \n", - "13 : 5788 712 368 140 146 \n", + "0 : 5819 718 369 118 118 \n", + "1 : 5881 687 328 122 124 \n", + "2 : 5826 714 354 116 132 \n", + "3 : 5866 678 353 122 123 \n", + "4 : 5839 696 356 133 118 \n", + "5 : 5885 708 339 115 95 \n", + "6 : 5877 729 314 103 119 \n", + "7 : 5858 724 316 125 119 \n", + "8 : 5855 703 349 115 120 \n", + "9 : 5851 706 341 110 134 \n", + "10 : 5839 708 330 134 131 \n", + "11 : 5831 689 373 136 113 \n", + "12 : 5889 691 344 110 108 \n", + "13 : 5855 707 352 117 123 \n", "\n", - "T : 80942 9543 5408 2005 2102 [100000]\n", + "T : 81971 9858 4818 1676 1677 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.3%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0900e-02 sec\n", - "--- Collate = 7.7703e-05 sec\n", + "--- Coef/DT = 31.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.2536e-02 sec\n", + "--- Collate = 5.5432e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.064869e-07 < 6.250000e-03 [1205]\n", - "--- Max DT=1.216082e+00 > 1.000000e-01 [68309]\n", + "--- Min DT=1.083049e-06 < 6.250000e-03 [1001]\n", + "--- Max DT=1.507280e+00 > 1.000000e-01 [68789]\n", "----------------------------------------------------------------------\n", - " Component | low: 1205/100000\n", - " Component | high: 68309/100000\n", + " Component | low: 1001/100000\n", + " Component | high: 68789/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=68.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000733912 [ 0.43 %]\n", - "Velocity : 0.00474451 [ 2.81 %]\n", - "Force : 0.0612799 [ 36.30 %]\n", - "Coefs : 0.0261015 [ 15.46 %]\n", - "Output : 0.00167371 [ 0.99 %]\n", - "Levels : 0.000262373 [ 0.16 %]\n", - "Report : 9.13e-07 [ 0.00 %]\n", - "Balance : 3.11e-07 [ 0.00 %]\n", - "Adjust : 0.0739782 [ 43.82 %]\n", - "Total : 0.168837 [100.00 %]\n", + "Drift : 0.000523508 [ 0.02 %]\n", + "Velocity : 0.00220634 [ 0.07 %]\n", + "Force : 0.47624 [ 15.30 %]\n", + "Coefs : 1.99268 [ 64.01 %]\n", + "Output : 0.00100361 [ 0.03 %]\n", + "Levels : 0.000249914 [ 0.01 %]\n", + "Report : 8.8e-07 [ 0.00 %]\n", + "Balance : 2.08e-07 [ 0.00 %]\n", + "Adjust : 0.639892 [ 20.56 %]\n", + "Total : 3.11285 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5819 669 359 136 159 \n", - "1 : 5816 673 373 127 153 \n", - "2 : 5741 741 383 142 135 \n", - "3 : 5779 689 395 136 143 \n", - "4 : 5736 712 374 170 150 \n", - "5 : 5827 641 398 145 131 \n", - "6 : 5810 675 363 148 146 \n", - "7 : 5771 694 381 140 156 \n", - "8 : 5835 656 366 139 146 \n", - "9 : 5753 678 418 144 149 \n", - "10 : 5763 708 367 144 160 \n", - "11 : 5742 667 431 146 156 \n", - "12 : 5809 637 383 163 150 \n", - "13 : 5791 714 361 147 141 \n", + "0 : 5822 710 375 113 122 \n", + "1 : 5881 678 331 136 116 \n", + "2 : 5825 704 364 119 130 \n", + "3 : 5868 682 357 105 130 \n", + "4 : 5835 697 358 132 120 \n", + "5 : 5885 706 342 115 94 \n", + "6 : 5866 744 303 105 124 \n", + "7 : 5860 720 319 123 120 \n", + "8 : 5855 696 358 117 116 \n", + "9 : 5853 694 354 103 138 \n", + "10 : 5840 701 340 126 135 \n", + "11 : 5833 686 361 147 115 \n", + "12 : 5894 686 340 115 107 \n", + "13 : 5860 700 348 129 117 \n", "\n", - "T : 80992 9554 5352 2027 2075 [100000]\n", + "T : 81977 9804 4850 1685 1684 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0255e-02 sec\n", - "--- Collate = 8.1527e-05 sec\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 7.7574e-02 sec\n", + "--- Collate = 2.0404e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.864625e-06 < 6.250000e-03 [1165]\n", - "--- Max DT=1.222300e+00 > 1.000000e-01 [68350]\n", + "--- Min DT=3.984011e-06 < 6.250000e-03 [1016]\n", + "--- Max DT=1.513729e+00 > 1.000000e-01 [68798]\n", "----------------------------------------------------------------------\n", - " Component | low: 1165/100000\n", - " Component | high: 68350/100000\n", + " Component | low: 1016/100000\n", + " Component | high: 68798/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=68.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00181532 [ 1.13 %]\n", - "Velocity : 0.00453138 [ 2.83 %]\n", - "Force : 0.059938 [ 37.43 %]\n", - "Coefs : 0.0221001 [ 13.80 %]\n", - "Output : 0.00170159 [ 1.06 %]\n", - "Levels : 0.000276456 [ 0.17 %]\n", - "Report : 6.3e-07 [ 0.00 %]\n", - "Balance : 2.82e-07 [ 0.00 %]\n", - "Adjust : 0.0697022 [ 43.53 %]\n", - "Total : 0.160136 [100.00 %]\n", + "Drift : 0.000692132 [ 0.02 %]\n", + "Velocity : 0.00225474 [ 0.06 %]\n", + "Force : 0.561856 [ 16.06 %]\n", + "Coefs : 2.15491 [ 61.61 %]\n", + "Output : 0.00133219 [ 0.04 %]\n", + "Levels : 0.000540579 [ 0.02 %]\n", + "Report : 1.17e-06 [ 0.00 %]\n", + "Balance : 4.76e-07 [ 0.00 %]\n", + "Adjust : 0.775804 [ 22.18 %]\n", + "Total : 3.49744 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5816 674 352 143 157 \n", - "1 : 5818 676 368 127 153 \n", - "2 : 5748 736 382 137 139 \n", - "3 : 5790 681 387 144 140 \n", - "4 : 5744 705 374 176 143 \n", - "5 : 5832 637 399 140 134 \n", - "6 : 5810 677 364 143 148 \n", - "7 : 5770 696 392 125 159 \n", - "8 : 5838 664 354 144 142 \n", - "9 : 5752 679 413 150 148 \n", - "10 : 5757 714 369 147 155 \n", - "11 : 5742 667 433 154 146 \n", - "12 : 5810 634 388 158 152 \n", - "13 : 5790 728 337 162 137 \n", + "0 : 5817 707 379 115 124 \n", + "1 : 5878 684 327 137 116 \n", + "2 : 5823 697 367 125 130 \n", + "3 : 5864 682 359 109 128 \n", + "4 : 5841 696 357 127 121 \n", + "5 : 5886 706 341 115 94 \n", + "6 : 5869 741 302 112 118 \n", + "7 : 5860 713 322 123 124 \n", + "8 : 5851 693 353 127 118 \n", + "9 : 5849 701 354 96 142 \n", + "10 : 5843 692 350 117 140 \n", + "11 : 5836 691 354 140 121 \n", + "12 : 5903 671 346 111 111 \n", + "13 : 5867 693 354 121 119 \n", "\n", - "T : 81017 9568 5312 2050 2053 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81987 9767 4865 1675 1706 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.0357e-02 sec\n", - "--- Collate = 7.4290e-05 sec\n", + "--- Coef/DT = 23.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.5081e-02 sec\n", + "--- Collate = 1.0237e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.142566e-06 < 6.250000e-03 [1145]\n", - "--- Max DT=1.228522e+00 > 1.000000e-01 [68395]\n", + "--- Min DT=3.447657e-06 < 6.250000e-03 [1034]\n", + "--- Max DT=1.520182e+00 > 1.000000e-01 [68810]\n", "----------------------------------------------------------------------\n", - " Component | low: 1145/100000\n", - " Component | high: 68395/100000\n", + " Component | low: 1034/100000\n", + " Component | high: 68810/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=68.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00119944 [ 0.75 %]\n", - "Velocity : 0.00471154 [ 2.95 %]\n", - "Force : 0.0589857 [ 36.93 %]\n", - "Coefs : 0.0223383 [ 13.98 %]\n", - "Output : 0.00172418 [ 1.08 %]\n", - "Levels : 0.000276919 [ 0.17 %]\n", - "Report : 8.34e-07 [ 0.00 %]\n", + "Drift : 0.000514656 [ 0.02 %]\n", + "Velocity : 0.00257862 [ 0.08 %]\n", + "Force : 0.588972 [ 18.00 %]\n", + "Coefs : 2.02887 [ 62.02 %]\n", + "Output : 0.00140259 [ 0.04 %]\n", + "Levels : 0.0003301 [ 0.01 %]\n", + "Report : 1.038e-06 [ 0.00 %]\n", "Balance : 3.11e-07 [ 0.00 %]\n", - "Adjust : 0.0704389 [ 44.10 %]\n", - "Total : 0.159732 [100.00 %]\n", + "Adjust : 0.648853 [ 19.83 %]\n", + "Total : 3.27157 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5813 679 351 142 157 \n", - "1 : 5818 672 370 142 140 \n", - "2 : 5740 725 393 153 131 \n", - "3 : 5792 674 395 142 139 \n", - "4 : 5746 710 360 181 145 \n", - "5 : 5838 637 391 138 138 \n", - "6 : 5811 671 374 136 150 \n", - "7 : 5776 689 391 124 162 \n", - "8 : 5836 667 352 144 143 \n", - "9 : 5749 683 419 145 146 \n", - "10 : 5753 714 377 153 145 \n", - "11 : 5745 660 439 145 153 \n", - "12 : 5805 646 390 150 151 \n", - "13 : 5782 734 347 157 134 \n", + "0 : 5818 706 383 112 123 \n", + "1 : 5878 683 324 128 129 \n", + "2 : 5828 686 374 123 131 \n", + "3 : 5864 684 348 116 130 \n", + "4 : 5841 696 360 120 125 \n", + "5 : 5890 702 341 109 100 \n", + "6 : 5872 739 298 112 121 \n", + "7 : 5859 706 327 128 122 \n", + "8 : 5860 681 358 124 119 \n", + "9 : 5851 701 349 98 143 \n", + "10 : 5842 702 340 121 137 \n", + "11 : 5829 693 362 134 124 \n", + "12 : 5904 668 347 116 107 \n", + "13 : 5867 692 345 139 111 \n", "\n", - "T : 81004 9561 5349 2052 2034 [100000]\n", + "T : 82003 9739 4856 1680 1722 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0642e-02 sec\n", - "--- Collate = 7.4350e-05 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 5.6598e-02 sec\n", + "--- Collate = 2.8603e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.555834e-06 < 6.250000e-03 [1164]\n", - "--- Max DT=1.234748e+00 > 1.000000e-01 [68417]\n", + "--- Min DT=5.560262e-06 < 6.250000e-03 [1051]\n", + "--- Max DT=1.526638e+00 > 1.000000e-01 [68805]\n", "----------------------------------------------------------------------\n", - " Component | low: 1164/100000\n", - " Component | high: 68417/100000\n", + " Component | low: 1051/100000\n", + " Component | high: 68805/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=68.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00130792 [ 0.82 %]\n", - "Velocity : 0.00454002 [ 2.86 %]\n", - "Force : 0.058828 [ 37.06 %]\n", - "Coefs : 0.0223499 [ 14.08 %]\n", - "Output : 0.00163162 [ 1.03 %]\n", - "Levels : 0.000260274 [ 0.16 %]\n", - "Report : 8.64e-07 [ 0.00 %]\n", - "Balance : 3.44e-07 [ 0.00 %]\n", - "Adjust : 0.069748 [ 43.94 %]\n", - "Total : 0.158728 [100.00 %]\n", + "Drift : 0.000465521 [ 0.01 %]\n", + "Velocity : 0.00189555 [ 0.06 %]\n", + "Force : 0.603839 [ 19.34 %]\n", + "Coefs : 1.87094 [ 59.92 %]\n", + "Output : 0.0010179 [ 0.03 %]\n", + "Levels : 0.000214163 [ 0.01 %]\n", + "Report : 1.063e-06 [ 0.00 %]\n", + "Balance : 2.94e-07 [ 0.00 %]\n", + "Adjust : 0.644176 [ 20.63 %]\n", + "Total : 3.1226 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5817 676 347 142 160 \n", - "1 : 5824 672 367 136 143 \n", - "2 : 5740 729 390 161 122 \n", - "3 : 5795 685 378 158 126 \n", - "4 : 5744 718 353 188 139 \n", - "5 : 5846 629 388 143 136 \n", - "6 : 5815 664 371 157 135 \n", - "7 : 5782 691 384 130 155 \n", - "8 : 5848 659 348 149 138 \n", - "9 : 5747 702 392 162 139 \n", - "10 : 5757 705 386 145 149 \n", - "11 : 5743 675 415 165 144 \n", - "12 : 5802 641 404 143 152 \n", - "13 : 5787 723 357 154 133 \n", + "0 : 5817 694 395 116 120 \n", + "1 : 5865 697 329 131 120 \n", + "2 : 5829 685 367 128 133 \n", + "3 : 5864 679 357 115 127 \n", + "4 : 5836 700 359 118 129 \n", + "5 : 5888 698 350 110 96 \n", + "6 : 5867 742 307 103 123 \n", + "7 : 5860 704 327 129 122 \n", + "8 : 5857 683 358 123 121 \n", + "9 : 5850 701 351 110 130 \n", + "10 : 5845 693 347 119 138 \n", + "11 : 5828 690 377 117 130 \n", + "12 : 5896 683 339 112 112 \n", + "13 : 5869 694 340 139 112 \n", "\n", - "T : 81047 9569 5280 2133 1971 [100000]\n", + "T : 81971 9743 4903 1670 1713 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.0332e-02 sec\n", - "--- Collate = 7.3743e-05 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 6.1592e-02 sec\n", + "--- Collate = 2.7793e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.358981e-05 < 6.250000e-03 [1149]\n", - "--- Max DT=1.240979e+00 > 1.000000e-01 [68462]\n", + "--- Min DT=4.325721e-06 < 6.250000e-03 [1028]\n", + "--- Max DT=1.533098e+00 > 1.000000e-01 [68812]\n", "----------------------------------------------------------------------\n", - " Component | low: 1149/100000\n", - " Component | high: 68462/100000\n", + " Component | low: 1028/100000\n", + " Component | high: 68812/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=68.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00129791 [ 0.82 %]\n", - "Velocity : 0.00450187 [ 2.84 %]\n", - "Force : 0.058983 [ 37.15 %]\n", - "Coefs : 0.0219722 [ 13.84 %]\n", - "Output : 0.00163357 [ 1.03 %]\n", - "Levels : 0.000238594 [ 0.15 %]\n", - "Report : 9.75e-07 [ 0.00 %]\n", - "Balance : 3.33e-07 [ 0.00 %]\n", - "Adjust : 0.0700836 [ 44.14 %]\n", - "Total : 0.158767 [100.00 %]\n", + "Drift : 0.000667888 [ 0.02 %]\n", + "Velocity : 0.00216641 [ 0.06 %]\n", + "Force : 0.592313 [ 17.46 %]\n", + "Coefs : 2.06039 [ 60.74 %]\n", + "Output : 0.00101111 [ 0.03 %]\n", + "Levels : 0.000271528 [ 0.01 %]\n", + "Report : 1.042e-06 [ 0.00 %]\n", + "Balance : 2.84e-07 [ 0.00 %]\n", + "Adjust : 0.735403 [ 21.68 %]\n", + "Total : 3.39228 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5814 677 345 156 150 \n", - "1 : 5825 676 356 141 144 \n", - "2 : 5744 726 391 164 117 \n", - "3 : 5802 679 370 168 123 \n", - "4 : 5744 711 363 179 145 \n", - "5 : 5855 624 387 135 141 \n", - "6 : 5809 674 366 154 139 \n", - "7 : 5786 690 381 129 156 \n", - "8 : 5847 657 353 148 137 \n", - "9 : 5753 694 388 169 138 \n", - "10 : 5764 706 380 138 154 \n", - "11 : 5746 666 432 152 146 \n", - "12 : 5800 644 405 140 153 \n", - "13 : 5793 712 360 160 129 \n", + "0 : 5817 688 398 125 114 \n", + "1 : 5866 690 334 128 124 \n", + "2 : 5822 692 370 131 127 \n", + "3 : 5862 680 351 112 137 \n", + "4 : 5836 698 361 119 128 \n", + "5 : 5887 699 355 101 100 \n", + "6 : 5873 732 303 117 117 \n", + "7 : 5855 714 318 127 128 \n", + "8 : 5853 683 365 124 117 \n", + "9 : 5849 697 360 100 136 \n", + "10 : 5841 690 347 125 139 \n", + "11 : 5828 695 374 112 133 \n", + "12 : 5896 691 334 102 119 \n", + "13 : 5870 695 344 128 117 \n", "\n", - "T : 81082 9536 5277 2133 1972 [100000]\n", + "T : 81955 9744 4914 1651 1736 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.0052e-02 sec\n", - "--- Collate = 8.1575e-05 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 4.8555e-02 sec\n", + "--- Collate = 1.4029e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.444940e-07 < 6.250000e-03 [1164]\n", - "--- Max DT=1.247214e+00 > 1.000000e-01 [68503]\n", + "--- Min DT=1.111150e-06 < 6.250000e-03 [1028]\n", + "--- Max DT=1.539561e+00 > 1.000000e-01 [68821]\n", "----------------------------------------------------------------------\n", - " Component | low: 1164/100000\n", - " Component | high: 68503/100000\n", + " Component | low: 1028/100000\n", + " Component | high: 68821/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=68.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00133187 [ 0.83 %]\n", - "Velocity : 0.00462088 [ 2.88 %]\n", - "Force : 0.059212 [ 36.89 %]\n", - "Coefs : 0.0221185 [ 13.78 %]\n", - "Output : 0.00161683 [ 1.01 %]\n", - "Levels : 0.000227407 [ 0.14 %]\n", - "Report : 8.64e-07 [ 0.00 %]\n", - "Balance : 3.13e-07 [ 0.00 %]\n", - "Adjust : 0.0713281 [ 44.44 %]\n", - "Total : 0.160519 [100.00 %]\n", + "Drift : 0.000525536 [ 0.02 %]\n", + "Velocity : 0.00213117 [ 0.06 %]\n", + "Force : 0.57791 [ 16.51 %]\n", + "Coefs : 2.22001 [ 63.42 %]\n", + "Output : 0.00116112 [ 0.03 %]\n", + "Levels : 0.000214112 [ 0.01 %]\n", + "Report : 1.126e-06 [ 0.00 %]\n", + "Balance : 4.5e-07 [ 0.00 %]\n", + "Adjust : 0.698384 [ 19.95 %]\n", + "Total : 3.50038 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5821 679 336 156 150 \n", - "1 : 5827 677 347 141 150 \n", - "2 : 5747 727 389 153 126 \n", - "3 : 5796 688 359 166 133 \n", - "4 : 5737 709 369 181 146 \n", - "5 : 5853 629 387 135 138 \n", - "6 : 5809 677 362 164 130 \n", - "7 : 5789 695 373 127 158 \n", - "8 : 5850 660 350 148 134 \n", - "9 : 5750 698 387 168 139 \n", - "10 : 5770 701 381 138 152 \n", - "11 : 5747 667 431 145 152 \n", - "12 : 5808 644 395 152 143 \n", - "13 : 5790 707 368 160 129 \n", + "0 : 5814 684 407 122 115 \n", + "1 : 5862 700 332 123 125 \n", + "2 : 5829 688 367 132 126 \n", + "3 : 5858 679 360 113 132 \n", + "4 : 5830 701 360 129 122 \n", + "5 : 5884 705 348 107 98 \n", + "6 : 5876 713 309 122 122 \n", + "7 : 5857 711 318 131 125 \n", + "8 : 5849 685 374 114 120 \n", + "9 : 5845 699 359 106 133 \n", + "10 : 5847 686 342 130 137 \n", + "11 : 5823 691 379 120 129 \n", + "12 : 5892 693 333 105 119 \n", + "13 : 5872 700 339 130 113 \n", "\n", - "T : 81094 9558 5234 2134 1980 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81938 9735 4927 1684 1716 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.0129e-02 sec\n", - "--- Collate = 7.6556e-05 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 6.2660e-02 sec\n", + "--- Collate = 6.0234e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.616762e-06 < 6.250000e-03 [1159]\n", - "--- Max DT=1.253453e+00 > 1.000000e-01 [68535]\n", + "--- Min DT=1.873510e-06 < 6.250000e-03 [1016]\n", + "--- Max DT=1.546028e+00 > 1.000000e-01 [68813]\n", "----------------------------------------------------------------------\n", - " Component | low: 1159/100000\n", - " Component | high: 68535/100000\n", + " Component | low: 1016/100000\n", + " Component | high: 68813/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=68.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00129467 [ 0.82 %]\n", - "Velocity : 0.00468889 [ 2.96 %]\n", - "Force : 0.0584517 [ 36.84 %]\n", - "Coefs : 0.0216382 [ 13.64 %]\n", - "Output : 0.00166089 [ 1.05 %]\n", - "Levels : 0.00029361 [ 0.19 %]\n", - "Report : 8.11e-07 [ 0.00 %]\n", - "Balance : 2.99e-07 [ 0.00 %]\n", - "Adjust : 0.0705815 [ 44.48 %]\n", - "Total : 0.158674 [100.00 %]\n", + "Drift : 0.00048637 [ 0.02 %]\n", + "Velocity : 0.00154457 [ 0.05 %]\n", + "Force : 0.511704 [ 16.55 %]\n", + "Coefs : 1.95081 [ 63.08 %]\n", + "Output : 0.000740918 [ 0.02 %]\n", + "Levels : 0.000296965 [ 0.01 %]\n", + "Report : 1.125e-06 [ 0.00 %]\n", + "Balance : 4.78e-07 [ 0.00 %]\n", + "Adjust : 0.627122 [ 20.28 %]\n", + "Total : 3.09275 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5815 688 338 164 137 \n", - "1 : 5826 679 343 147 147 \n", - "2 : 5749 729 383 154 127 \n", - "3 : 5806 675 361 164 136 \n", - "4 : 5746 687 381 172 156 \n", - "5 : 5857 628 378 136 143 \n", - "6 : 5817 664 370 166 125 \n", - "7 : 5791 682 391 115 163 \n", - "8 : 5847 668 346 138 143 \n", - "9 : 5763 692 383 161 143 \n", - "10 : 5772 702 380 140 148 \n", - "11 : 5750 665 432 143 152 \n", - "12 : 5811 643 386 160 142 \n", - "13 : 5795 713 347 165 134 \n", + "0 : 5813 681 408 130 110 \n", + "1 : 5857 707 327 121 130 \n", + "2 : 5824 686 365 137 130 \n", + "3 : 5863 683 350 120 126 \n", + "4 : 5827 700 361 134 120 \n", + "5 : 5890 698 348 111 95 \n", + "6 : 5884 699 317 122 120 \n", + "7 : 5861 709 320 120 132 \n", + "8 : 5849 694 363 118 118 \n", + "9 : 5848 696 365 109 124 \n", + "10 : 5851 681 344 130 136 \n", + "11 : 5819 695 378 118 132 \n", + "12 : 5894 694 328 110 116 \n", + "13 : 5871 702 335 132 114 \n", "\n", - "T : 81145 9515 5219 2125 1996 [100000]\n", + "T : 81951 9725 4909 1712 1703 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.3%\n", - "--- Adj/Tot = 2.3%\n", - "--- Update = 1.0394e-02 sec\n", - "--- Collate = 7.2988e-05 sec\n", + "--- Coef/DT = 28.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 4.7624e-02 sec\n", + "--- Collate = 1.0527e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.507794e-05 < 6.250000e-03 [1164]\n", - "--- Max DT=1.259696e+00 > 1.000000e-01 [68572]\n", + "--- Min DT=5.975083e-07 < 6.250000e-03 [1003]\n", + "--- Max DT=1.552499e+00 > 1.000000e-01 [68805]\n", "----------------------------------------------------------------------\n", - " Component | low: 1164/100000\n", - " Component | high: 68572/100000\n", + " Component | low: 1003/100000\n", + " Component | high: 68805/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=69] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0013372 [ 0.83 %]\n", - "Velocity : 0.00446865 [ 2.78 %]\n", - "Force : 0.0578444 [ 35.93 %]\n", - "Coefs : 0.0215625 [ 13.40 %]\n", - "Output : 0.00658108 [ 4.09 %]\n", - "Levels : 0.000233934 [ 0.15 %]\n", - "Report : 1.358e-06 [ 0.00 %]\n", - "Balance : 7.2e-07 [ 0.00 %]\n", - "Adjust : 0.0688793 [ 42.79 %]\n", - "Total : 0.16097 [100.00 %]\n", + "Drift : 0.00044454 [ 0.01 %]\n", + "Velocity : 0.0016185 [ 0.05 %]\n", + "Force : 0.572335 [ 17.32 %]\n", + "Coefs : 1.98538 [ 60.07 %]\n", + "Output : 0.0113965 [ 0.34 %]\n", + "Levels : 0.00876399 [ 0.27 %]\n", + "Report : 8.82e-07 [ 0.00 %]\n", + "Balance : 4.11e-07 [ 0.00 %]\n", + "Adjust : 0.725388 [ 21.95 %]\n", + "Total : 3.30538 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5812 698 324 173 135 \n", - "1 : 5826 682 349 141 144 \n", - "2 : 5750 728 388 150 126 \n", - "3 : 5813 665 372 155 137 \n", - "4 : 5748 694 389 157 154 \n", - "5 : 5863 631 374 130 144 \n", - "6 : 5821 658 378 158 127 \n", - "7 : 5795 676 392 129 150 \n", - "8 : 5847 671 337 141 146 \n", - "9 : 5763 697 389 149 144 \n", - "10 : 5777 699 380 138 148 \n", - "11 : 5754 662 438 134 154 \n", - "12 : 5808 648 386 155 145 \n", - "13 : 5798 708 355 155 138 \n", + "0 : 5812 675 416 132 107 \n", + "1 : 5858 709 334 114 127 \n", + "2 : 5821 691 362 143 125 \n", + "3 : 5859 686 344 121 132 \n", + "4 : 5822 692 372 140 116 \n", + "5 : 5887 702 342 108 103 \n", + "6 : 5878 706 320 109 129 \n", + "7 : 5862 706 327 112 135 \n", + "8 : 5852 686 372 117 115 \n", + "9 : 5855 688 368 111 120 \n", + "10 : 5850 675 342 132 143 \n", + "11 : 5816 695 379 131 121 \n", + "12 : 5894 685 335 114 114 \n", + "13 : 5868 708 335 136 107 \n", "\n", - "T : 81175 9517 5251 2065 1992 [100000]\n", + "T : 81934 9704 4948 1720 1694 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.4%\n", - "--- Adj/Tot = 2.3%\n", - "--- Update = 9.9083e-03 sec\n", - "--- Collate = 6.8909e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 5.6604e-02 sec\n", + "--- Collate = 6.0313e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.992976e-07 < 6.250000e-03 [1143]\n", - "--- Max DT=1.265944e+00 > 1.000000e-01 [68615]\n", + "--- Min DT=1.108202e-06 < 6.250000e-03 [989]\n", + "--- Max DT=1.558973e+00 > 1.000000e-01 [68801]\n", "----------------------------------------------------------------------\n", - " Component | low: 1143/100000\n", - " Component | high: 68615/100000\n", + " Component | low: 989/100000\n", + " Component | high: 68801/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=69.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00129684 [ 0.83 %]\n", - "Velocity : 0.00447348 [ 2.87 %]\n", - "Force : 0.057914 [ 37.20 %]\n", - "Coefs : 0.0215954 [ 13.87 %]\n", - "Output : 0.00165471 [ 1.06 %]\n", - "Levels : 0.000238502 [ 0.15 %]\n", - "Report : 8.29e-07 [ 0.00 %]\n", - "Balance : 3.49e-07 [ 0.00 %]\n", - "Adjust : 0.0684305 [ 43.96 %]\n", - "Total : 0.155667 [100.00 %]\n", + "Drift : 0.000459909 [ 0.02 %]\n", + "Velocity : 0.00184283 [ 0.06 %]\n", + "Force : 0.505296 [ 16.50 %]\n", + "Coefs : 1.92789 [ 62.95 %]\n", + "Output : 0.000915207 [ 0.03 %]\n", + "Levels : 0.000262988 [ 0.01 %]\n", + "Report : 9.79e-07 [ 0.00 %]\n", + "Balance : 6.33e-07 [ 0.00 %]\n", + "Adjust : 0.625659 [ 20.43 %]\n", + "Total : 3.06238 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5808 698 328 174 134 \n", - "1 : 5816 703 337 148 138 \n", - "2 : 5750 729 391 138 134 \n", - "3 : 5819 664 367 154 138 \n", - "4 : 5754 690 386 154 158 \n", - "5 : 5864 633 367 139 139 \n", - "6 : 5821 665 369 167 120 \n", - "7 : 5791 691 374 144 142 \n", - "8 : 5844 669 342 146 141 \n", - "9 : 5767 695 391 144 145 \n", - "10 : 5773 716 363 136 154 \n", - "11 : 5754 667 434 142 145 \n", - "12 : 5802 650 390 149 151 \n", - "13 : 5798 711 347 159 139 \n", + "0 : 5816 670 409 139 108 \n", + "1 : 5857 714 326 116 129 \n", + "2 : 5824 690 361 139 128 \n", + "3 : 5865 675 354 125 123 \n", + "4 : 5825 688 369 139 121 \n", + "5 : 5890 694 340 116 102 \n", + "6 : 5883 695 321 112 131 \n", + "7 : 5869 698 332 101 142 \n", + "8 : 5853 679 377 119 114 \n", + "9 : 5855 682 377 107 121 \n", + "10 : 5849 673 342 139 139 \n", + "11 : 5812 696 389 123 122 \n", + "12 : 5891 687 336 111 117 \n", + "13 : 5867 705 343 130 109 \n", "\n", - "T : 81161 9581 5186 2094 1978 [100000]\n", + "T : 81956 9646 4976 1716 1706 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.6%\n", - "--- Adj/Tot = 2.4%\n", - "--- Update = 1.0800e-02 sec\n", - "--- Collate = 6.5435e-05 sec\n", + "--- Coef/DT = 30.1%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.8488e-02 sec\n", + "--- Collate = 6.0153e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.527474e-06 < 6.250000e-03 [1138]\n", - "--- Max DT=1.272196e+00 > 1.000000e-01 [68653]\n", + "--- Min DT=2.864718e-06 < 6.250000e-03 [1001]\n", + "--- Max DT=1.565451e+00 > 1.000000e-01 [68800]\n", "----------------------------------------------------------------------\n", - " Component | low: 1138/100000\n", - " Component | high: 68653/100000\n", + " Component | low: 1001/100000\n", + " Component | high: 68800/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=69.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00132589 [ 0.83 %]\n", - "Velocity : 0.00386411 [ 2.43 %]\n", - "Force : 0.0594655 [ 37.41 %]\n", - "Coefs : 0.0223865 [ 14.08 %]\n", - "Output : 0.00150898 [ 0.95 %]\n", - "Levels : 0.000263098 [ 0.17 %]\n", - "Report : 1.41e-06 [ 0.00 %]\n", - "Balance : 4.31e-07 [ 0.00 %]\n", - "Adjust : 0.0700764 [ 44.09 %]\n", - "Total : 0.158951 [100.00 %]\n", + "Drift : 0.000613324 [ 0.02 %]\n", + "Velocity : 0.00207397 [ 0.06 %]\n", + "Force : 0.574108 [ 16.41 %]\n", + "Coefs : 2.1761 [ 62.22 %]\n", + "Output : 0.00108249 [ 0.03 %]\n", + "Levels : 0.000247096 [ 0.01 %]\n", + "Report : 8.54e-07 [ 0.00 %]\n", + "Balance : 2.91e-07 [ 0.00 %]\n", + "Adjust : 0.743381 [ 21.25 %]\n", + "Total : 3.49766 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5810 689 354 155 134 \n", - "1 : 5820 686 348 148 140 \n", - "2 : 5746 738 385 132 141 \n", - "3 : 5827 658 372 150 135 \n", - "4 : 5753 693 382 149 165 \n", - "5 : 5856 643 364 141 138 \n", - "6 : 5824 666 363 162 127 \n", - "7 : 5795 687 369 157 134 \n", - "8 : 5841 660 353 141 147 \n", - "9 : 5778 679 400 141 144 \n", - "10 : 5776 718 366 127 155 \n", - "11 : 5764 667 420 149 142 \n", - "12 : 5807 643 396 153 143 \n", - "13 : 5797 716 344 151 146 \n", + "0 : 5815 672 416 127 112 \n", + "1 : 5857 713 326 120 126 \n", + "2 : 5828 686 353 147 128 \n", + "3 : 5862 676 361 119 124 \n", + "4 : 5828 680 371 143 120 \n", + "5 : 5892 692 335 120 103 \n", + "6 : 5883 687 330 110 132 \n", + "7 : 5867 692 338 113 132 \n", + "8 : 5857 677 376 123 109 \n", + "9 : 5855 686 369 112 120 \n", + "10 : 5845 673 348 136 140 \n", + "11 : 5812 689 399 121 121 \n", + "12 : 5891 692 338 102 119 \n", + "13 : 5870 705 341 128 110 \n", "\n", - "T : 81194 9543 5216 2056 1991 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81962 9620 5001 1721 1696 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.1%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.0541e-02 sec\n", - "--- Collate = 5.4256e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 5.7570e-02 sec\n", + "--- Collate = 9.0391e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.919116e-06 < 6.250000e-03 [1149]\n", - "--- Max DT=1.278452e+00 > 1.000000e-01 [68712]\n", + "--- Min DT=2.571767e-06 < 6.250000e-03 [985]\n", + "--- Max DT=1.571932e+00 > 1.000000e-01 [68797]\n", "----------------------------------------------------------------------\n", - " Component | low: 1149/100000\n", - " Component | high: 68712/100000\n", + " Component | low: 985/100000\n", + " Component | high: 68797/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=69.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000785441 [ 0.51 %]\n", - "Velocity : 0.00284133 [ 1.86 %]\n", - "Force : 0.0581845 [ 38.10 %]\n", - "Coefs : 0.0224461 [ 14.70 %]\n", - "Output : 0.00134746 [ 0.88 %]\n", - "Levels : 0.000190658 [ 0.12 %]\n", - "Report : 9.96e-07 [ 0.00 %]\n", - "Balance : 4.18e-07 [ 0.00 %]\n", - "Adjust : 0.0668744 [ 43.79 %]\n", - "Total : 0.15272 [100.00 %]\n", + "Drift : 0.000437109 [ 0.01 %]\n", + "Velocity : 0.00181554 [ 0.05 %]\n", + "Force : 0.536211 [ 16.01 %]\n", + "Coefs : 2.12854 [ 63.57 %]\n", + "Output : 0.000822083 [ 0.02 %]\n", + "Levels : 0.000273149 [ 0.01 %]\n", + "Report : 1.512e-06 [ 0.00 %]\n", + "Balance : 2.87e-07 [ 0.00 %]\n", + "Adjust : 0.680264 [ 20.32 %]\n", + "Total : 3.34841 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5817 680 360 154 131 \n", - "1 : 5832 682 338 153 137 \n", - "2 : 5744 741 385 138 134 \n", - "3 : 5823 657 372 156 134 \n", - "4 : 5752 695 374 147 174 \n", - "5 : 5857 644 355 148 138 \n", - "6 : 5828 654 362 172 126 \n", - "7 : 5802 682 363 166 129 \n", - "8 : 5836 668 358 138 142 \n", - "9 : 5780 678 394 147 143 \n", - "10 : 5777 718 368 117 162 \n", - "11 : 5764 665 421 153 139 \n", - "12 : 5812 639 396 146 149 \n", - "13 : 5804 700 360 145 145 \n", + "0 : 5814 683 404 129 112 \n", + "1 : 5856 718 326 123 119 \n", + "2 : 5834 679 361 137 131 \n", + "3 : 5860 681 353 117 131 \n", + "4 : 5828 685 364 153 112 \n", + "5 : 5887 694 335 122 104 \n", + "6 : 5882 696 314 121 129 \n", + "7 : 5860 693 348 115 126 \n", + "8 : 5857 675 372 119 119 \n", + "9 : 5849 700 365 114 114 \n", + "10 : 5846 668 347 144 137 \n", + "11 : 5810 691 402 116 123 \n", + "12 : 5887 692 342 102 119 \n", + "13 : 5874 699 343 127 111 \n", "\n", - "T : 81228 9503 5206 2080 1983 [100000]\n", + "T : 81944 9654 4976 1739 1687 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.1207e-02 sec\n", - "--- Collate = 7.2132e-05 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 4.9962e-02 sec\n", + "--- Collate = 8.9997e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.801854e-07 < 6.250000e-03 [1142]\n", - "--- Max DT=1.284712e+00 > 1.000000e-01 [68721]\n", + "--- Min DT=2.495069e-06 < 6.250000e-03 [1016]\n", + "--- Max DT=1.578417e+00 > 1.000000e-01 [68790]\n", "----------------------------------------------------------------------\n", - " Component | low: 1142/100000\n", - " Component | high: 68721/100000\n", + " Component | low: 1016/100000\n", + " Component | high: 68790/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=69.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000557429 [ 0.35 %]\n", - "Velocity : 0.00221913 [ 1.40 %]\n", - "Force : 0.0602146 [ 38.06 %]\n", - "Coefs : 0.0239578 [ 15.14 %]\n", - "Output : 0.00112037 [ 0.71 %]\n", - "Levels : 0.000284418 [ 0.18 %]\n", - "Report : 1.479e-06 [ 0.00 %]\n", - "Balance : 5.93e-07 [ 0.00 %]\n", - "Adjust : 0.0698143 [ 44.13 %]\n", - "Total : 0.158218 [100.00 %]\n", + "Drift : 0.000522826 [ 0.02 %]\n", + "Velocity : 0.00647145 [ 0.20 %]\n", + "Force : 0.558024 [ 17.51 %]\n", + "Coefs : 1.95184 [ 61.23 %]\n", + "Output : 0.00107676 [ 0.03 %]\n", + "Levels : 0.000268585 [ 0.01 %]\n", + "Report : 4.58e-07 [ 0.00 %]\n", + "Balance : 2.08e-07 [ 0.00 %]\n", + "Adjust : 0.669308 [ 21.00 %]\n", + "Total : 3.18756 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5815 681 354 153 139 \n", - "1 : 5828 694 331 151 138 \n", - "2 : 5751 734 388 126 143 \n", - "3 : 5830 648 367 161 136 \n", - "4 : 5756 697 368 144 177 \n", - "5 : 5854 646 354 143 145 \n", - "6 : 5827 649 371 166 129 \n", - "7 : 5803 676 377 158 128 \n", - "8 : 5837 663 362 143 137 \n", - "9 : 5782 677 379 160 144 \n", - "10 : 5780 715 362 135 150 \n", - "11 : 5759 668 426 155 134 \n", - "12 : 5806 648 389 156 143 \n", - "13 : 5800 708 350 152 144 \n", + "0 : 5811 682 406 127 116 \n", + "1 : 5852 721 335 115 119 \n", + "2 : 5828 684 371 132 127 \n", + "3 : 5855 685 353 111 138 \n", + "4 : 5829 688 357 151 117 \n", + "5 : 5881 702 327 126 106 \n", + "6 : 5880 690 321 130 121 \n", + "7 : 5862 701 335 118 126 \n", + "8 : 5853 686 365 119 119 \n", + "9 : 5849 698 368 112 115 \n", + "10 : 5847 670 335 148 142 \n", + "11 : 5813 691 399 116 123 \n", + "12 : 5890 691 340 100 121 \n", + "13 : 5876 698 343 127 110 \n", "\n", - "T : 81228 9504 5178 2103 1987 [100000]\n", + "T : 81926 9687 4955 1732 1700 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.8%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.1286e-02 sec\n", - "--- Collate = 8.8709e-05 sec\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 6.1545e-02 sec\n", + "--- Collate = 6.0217e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.806974e-07 < 6.250000e-03 [1143]\n", - "--- Max DT=1.290976e+00 > 1.000000e-01 [68769]\n", + "--- Min DT=3.648877e-07 < 6.250000e-03 [1021]\n", + "--- Max DT=1.584905e+00 > 1.000000e-01 [68789]\n", "----------------------------------------------------------------------\n", - " Component | low: 1143/100000\n", - " Component | high: 68769/100000\n", + " Component | low: 1021/100000\n", + " Component | high: 68789/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=69.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000693826 [ 0.43 %]\n", - "Velocity : 0.00327072 [ 2.01 %]\n", - "Force : 0.0606999 [ 37.36 %]\n", - "Coefs : 0.0236125 [ 14.53 %]\n", - "Output : 0.00142919 [ 0.88 %]\n", - "Levels : 0.000258123 [ 0.16 %]\n", - "Report : 1.459e-06 [ 0.00 %]\n", - "Balance : 5.75e-07 [ 0.00 %]\n", - "Adjust : 0.0724596 [ 44.60 %]\n", - "Total : 0.16248 [100.00 %]\n", + "Drift : 0.00210951 [ 0.06 %]\n", + "Velocity : 0.00244751 [ 0.06 %]\n", + "Force : 0.643527 [ 16.85 %]\n", + "Coefs : 2.26731 [ 59.38 %]\n", + "Output : 0.00119272 [ 0.03 %]\n", + "Levels : 0.000262066 [ 0.01 %]\n", + "Report : 3.58e-07 [ 0.00 %]\n", + "Balance : 4.67e-07 [ 0.00 %]\n", + "Adjust : 0.901621 [ 23.61 %]\n", + "Total : 3.81852 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5816 672 365 146 143 \n", - "1 : 5832 692 336 141 141 \n", - "2 : 5755 730 378 129 150 \n", - "3 : 5828 643 382 148 141 \n", - "4 : 5758 686 369 160 169 \n", - "5 : 5851 656 344 143 148 \n", - "6 : 5824 649 379 164 126 \n", - "7 : 5805 672 381 158 126 \n", - "8 : 5837 667 358 150 130 \n", - "9 : 5781 679 382 158 142 \n", - "10 : 5785 710 353 147 147 \n", - "11 : 5756 668 433 156 129 \n", - "12 : 5802 656 381 163 140 \n", - "13 : 5801 706 351 157 139 \n", + "0 : 5809 691 400 127 115 \n", + "1 : 5848 725 335 116 118 \n", + "2 : 5835 685 361 134 127 \n", + "3 : 5862 678 355 111 136 \n", + "4 : 5836 688 355 143 120 \n", + "5 : 5885 694 322 132 109 \n", + "6 : 5885 686 329 120 122 \n", + "7 : 5861 701 335 122 123 \n", + "8 : 5846 696 372 117 111 \n", + "9 : 5846 696 369 109 122 \n", + "10 : 5855 659 340 149 139 \n", + "11 : 5819 688 393 120 122 \n", + "12 : 5890 685 350 98 119 \n", + "13 : 5874 696 349 123 112 \n", "\n", - "T : 81231 9486 5192 2120 1971 [100000]\n", + "T : 81951 9668 4965 1721 1695 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.6%\n", - "--- Adj/Tot = 2.3%\n", - "--- Update = 1.1506e-02 sec\n", - "--- Collate = 8.7909e-05 sec\n", + "--- Coef/DT = 30.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 5.6579e-02 sec\n", + "--- Collate = 7.0196e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.301128e-07 < 6.250000e-03 [1165]\n", - "--- Max DT=1.297244e+00 > 1.000000e-01 [68805]\n", + "--- Min DT=3.821871e-07 < 6.250000e-03 [1018]\n", + "--- Max DT=1.591396e+00 > 1.000000e-01 [68785]\n", "----------------------------------------------------------------------\n", - " Component | low: 1165/100000\n", - " Component | high: 68805/100000\n", + " Component | low: 1018/100000\n", + " Component | high: 68785/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=69.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000921072 [ 0.57 %]\n", - "Velocity : 0.00343555 [ 2.12 %]\n", - "Force : 0.0605308 [ 37.28 %]\n", - "Coefs : 0.0241219 [ 14.86 %]\n", - "Output : 0.00123181 [ 0.76 %]\n", - "Levels : 0.000232634 [ 0.14 %]\n", - "Report : 1.569e-06 [ 0.00 %]\n", - "Balance : 6.3e-07 [ 0.00 %]\n", - "Adjust : 0.0718437 [ 44.24 %]\n", - "Total : 0.162379 [100.00 %]\n", + "Drift : 0.000711693 [ 0.02 %]\n", + "Velocity : 0.00244679 [ 0.05 %]\n", + "Force : 0.69725 [ 14.74 %]\n", + "Coefs : 2.98327 [ 63.05 %]\n", + "Output : 0.00110176 [ 0.02 %]\n", + "Levels : 0.000262874 [ 0.01 %]\n", + "Report : 8.63e-07 [ 0.00 %]\n", + "Balance : 2.95e-07 [ 0.00 %]\n", + "Adjust : 1.04651 [ 22.12 %]\n", + "Total : 4.7316 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5809 679 361 149 144 \n", - "1 : 5839 681 336 145 141 \n", - "2 : 5759 724 371 139 149 \n", - "3 : 5829 642 382 153 136 \n", - "4 : 5760 688 366 166 162 \n", - "5 : 5857 655 339 140 151 \n", - "6 : 5822 654 374 158 134 \n", - "7 : 5793 685 398 134 132 \n", - "8 : 5838 669 348 154 133 \n", - "9 : 5784 678 370 160 150 \n", - "10 : 5778 712 360 140 152 \n", - "11 : 5754 667 441 145 135 \n", - "12 : 5801 656 384 161 140 \n", - "13 : 5805 705 350 157 137 \n", + "0 : 5808 692 401 120 121 \n", + "1 : 5853 722 327 121 119 \n", + "2 : 5837 686 362 123 134 \n", + "3 : 5855 688 350 108 141 \n", + "4 : 5833 691 359 139 120 \n", + "5 : 5886 692 324 135 105 \n", + "6 : 5891 683 328 115 125 \n", + "7 : 5862 702 331 126 121 \n", + "8 : 5849 695 369 122 107 \n", + "9 : 5849 692 366 117 118 \n", + "10 : 5856 666 341 137 142 \n", + "11 : 5815 692 390 125 120 \n", + "12 : 5882 692 354 95 119 \n", + "13 : 5874 687 364 117 112 \n", "\n", - "T : 81228 9495 5180 2101 1996 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81950 9680 4966 1700 1704 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.6%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.1324e-02 sec\n", - "--- Collate = 8.8440e-05 sec\n", + "--- Coef/DT = 0.8%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 5.6232e-02 sec\n", + "--- Collate = 2.8564e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.937623e-06 < 6.250000e-03 [1163]\n", - "--- Max DT=1.303516e+00 > 1.000000e-01 [68847]\n", + "--- Min DT=6.848526e-07 < 6.250000e-03 [1021]\n", + "--- Max DT=1.597892e+00 > 1.000000e-01 [68773]\n", "----------------------------------------------------------------------\n", - " Component | low: 1163/100000\n", - " Component | high: 68847/100000\n", + " Component | low: 1021/100000\n", + " Component | high: 68773/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=69.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000829909 [ 0.50 %]\n", - "Velocity : 0.00300205 [ 1.82 %]\n", - "Force : 0.0624941 [ 37.83 %]\n", - "Coefs : 0.0239836 [ 14.52 %]\n", - "Output : 0.00131684 [ 0.80 %]\n", - "Levels : 0.000238005 [ 0.14 %]\n", - "Report : 1.366e-06 [ 0.00 %]\n", - "Balance : 5.44e-07 [ 0.00 %]\n", - "Adjust : 0.0732791 [ 44.36 %]\n", - "Total : 0.165201 [100.00 %]\n", + "Drift : 0.000701228 [ 0.02 %]\n", + "Velocity : 0.00268521 [ 0.08 %]\n", + "Force : 0.599208 [ 16.91 %]\n", + "Coefs : 2.18776 [ 61.74 %]\n", + "Output : 0.00135538 [ 0.04 %]\n", + "Levels : 0.000260327 [ 0.01 %]\n", + "Report : 9.89e-07 [ 0.00 %]\n", + "Balance : 3.17e-07 [ 0.00 %]\n", + "Adjust : 0.751634 [ 21.21 %]\n", + "Total : 3.54366 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5814 670 357 148 153 \n", - "1 : 5837 680 345 142 138 \n", - "2 : 5762 718 371 134 157 \n", - "3 : 5837 641 371 142 151 \n", - "4 : 5761 684 363 182 152 \n", - "5 : 5848 664 347 132 151 \n", - "6 : 5823 660 368 167 124 \n", - "7 : 5792 683 398 134 135 \n", - "8 : 5837 664 351 163 127 \n", - "9 : 5784 675 369 162 152 \n", - "10 : 5786 702 363 135 156 \n", - "11 : 5761 665 437 150 129 \n", - "12 : 5806 646 391 151 148 \n", - "13 : 5811 699 352 161 131 \n", + "0 : 5810 692 393 127 120 \n", + "1 : 5861 710 327 130 114 \n", + "2 : 5841 683 362 123 133 \n", + "3 : 5858 691 344 116 133 \n", + "4 : 5834 686 367 139 116 \n", + "5 : 5884 694 326 136 102 \n", + "6 : 5893 681 331 106 131 \n", + "7 : 5863 701 330 130 118 \n", + "8 : 5847 697 366 118 114 \n", + "9 : 5853 689 362 118 120 \n", + "10 : 5851 659 353 136 143 \n", + "11 : 5819 684 391 129 119 \n", + "12 : 5881 697 348 94 122 \n", + "13 : 5876 680 372 119 107 \n", "\n", - "T : 81259 9451 5183 2103 2004 [100000]\n", + "T : 81971 9644 4972 1721 1692 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.8%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.0653e-02 sec\n", - "--- Collate = 8.5401e-05 sec\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 5.2602e-02 sec\n", + "--- Collate = 2.0765e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.328735e-07 < 6.250000e-03 [1222]\n", - "--- Max DT=1.309793e+00 > 1.000000e-01 [68879]\n", + "--- Min DT=5.693320e-07 < 6.250000e-03 [1034]\n", + "--- Max DT=1.604390e+00 > 1.000000e-01 [68778]\n", "----------------------------------------------------------------------\n", - " Component | low: 1222/100000\n", - " Component | high: 68879/100000\n", + " Component | low: 1034/100000\n", + " Component | high: 68778/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=69.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000853132 [ 0.54 %]\n", - "Velocity : 0.00297905 [ 1.87 %]\n", - "Force : 0.0599419 [ 37.66 %]\n", - "Coefs : 0.0246062 [ 15.46 %]\n", - "Output : 0.00106893 [ 0.67 %]\n", - "Levels : 0.000275672 [ 0.17 %]\n", - "Report : 1.448e-06 [ 0.00 %]\n", - "Balance : 5.27e-07 [ 0.00 %]\n", - "Adjust : 0.0693799 [ 43.59 %]\n", - "Total : 0.159157 [100.00 %]\n", + "Drift : 0.000787831 [ 0.03 %]\n", + "Velocity : 0.00186783 [ 0.07 %]\n", + "Force : 0.474205 [ 18.14 %]\n", + "Coefs : 1.56722 [ 59.95 %]\n", + "Output : 0.000814325 [ 0.03 %]\n", + "Levels : 0.000267838 [ 0.01 %]\n", + "Report : 1.322e-06 [ 0.00 %]\n", + "Balance : 3.51e-07 [ 0.00 %]\n", + "Adjust : 0.569033 [ 21.77 %]\n", + "Total : 2.61424 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5820 658 363 148 153 \n", - "1 : 5833 685 349 133 142 \n", - "2 : 5762 716 373 132 159 \n", - "3 : 5838 637 367 151 149 \n", - "4 : 5765 676 369 178 154 \n", - "5 : 5847 664 342 137 152 \n", - "6 : 5827 664 360 168 123 \n", - "7 : 5791 685 396 131 139 \n", - "8 : 5830 678 345 160 129 \n", - "9 : 5794 669 358 166 155 \n", - "10 : 5788 703 356 136 159 \n", - "11 : 5766 656 440 159 121 \n", - "12 : 5809 644 392 152 145 \n", - "13 : 5811 684 367 156 136 \n", + "0 : 5812 690 384 136 120 \n", + "1 : 5856 717 331 125 113 \n", + "2 : 5844 672 374 117 135 \n", + "3 : 5852 703 338 113 136 \n", + "4 : 5838 678 375 131 120 \n", + "5 : 5882 698 330 127 105 \n", + "6 : 5884 683 336 113 126 \n", + "7 : 5859 707 331 128 117 \n", + "8 : 5844 694 363 124 117 \n", + "9 : 5856 690 358 126 112 \n", + "10 : 5846 664 358 132 142 \n", + "11 : 5827 677 386 131 121 \n", + "12 : 5876 702 347 100 117 \n", + "13 : 5878 681 373 110 112 \n", "\n", - "T : 81281 9419 5177 2107 2016 [100000]\n", + "T : 81954 9656 4984 1713 1693 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.3%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 9.7571e-03 sec\n", - "--- Collate = 8.7998e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 5.5524e-02 sec\n", + "--- Collate = 3.7405e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.008423e-06 < 6.250000e-03 [1216]\n", - "--- Max DT=1.316073e+00 > 1.000000e-01 [68921]\n", + "--- Min DT=2.183186e-07 < 6.250000e-03 [1025]\n", + "--- Max DT=1.610892e+00 > 1.000000e-01 [68791]\n", "----------------------------------------------------------------------\n", - " Component | low: 1216/100000\n", - " Component | high: 68921/100000\n", + " Component | low: 1025/100000\n", + " Component | high: 68791/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=69.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000917608 [ 0.52 %]\n", - "Velocity : 0.00325732 [ 1.86 %]\n", - "Force : 0.0639299 [ 36.56 %]\n", - "Coefs : 0.0271173 [ 15.51 %]\n", - "Output : 0.00152831 [ 0.87 %]\n", - "Levels : 0.000254435 [ 0.15 %]\n", - "Report : 1.571e-06 [ 0.00 %]\n", - "Balance : 5.1e-07 [ 0.00 %]\n", - "Adjust : 0.0778041 [ 44.49 %]\n", - "Total : 0.174885 [100.00 %]\n", + "Drift : 0.00047004 [ 0.02 %]\n", + "Velocity : 0.00165734 [ 0.05 %]\n", + "Force : 0.5191 [ 17.22 %]\n", + "Coefs : 1.89514 [ 62.87 %]\n", + "Output : 0.000773743 [ 0.03 %]\n", + "Levels : 0.000241368 [ 0.01 %]\n", + "Report : 7.84e-07 [ 0.00 %]\n", + "Balance : 2.5e-07 [ 0.00 %]\n", + "Adjust : 0.597046 [ 19.81 %]\n", + "Total : 3.01448 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5832 650 353 145 162 \n", - "1 : 5832 679 359 129 143 \n", - "2 : 5766 714 369 142 151 \n", - "3 : 5826 644 383 144 145 \n", - "4 : 5764 672 375 168 163 \n", - "5 : 5850 664 340 131 157 \n", - "6 : 5834 648 365 170 125 \n", - "7 : 5796 681 394 128 143 \n", - "8 : 5827 684 348 152 131 \n", - "9 : 5787 681 352 159 163 \n", - "10 : 5788 699 359 141 155 \n", - "11 : 5770 649 438 165 120 \n", - "12 : 5810 642 392 151 147 \n", - "13 : 5808 684 369 159 134 \n", + "0 : 5813 692 380 140 117 \n", + "1 : 5860 709 325 131 117 \n", + "2 : 5848 669 374 120 131 \n", + "3 : 5852 698 337 122 133 \n", + "4 : 5841 678 374 124 125 \n", + "5 : 5884 690 343 116 109 \n", + "6 : 5877 691 339 105 130 \n", + "7 : 5856 708 326 135 117 \n", + "8 : 5848 694 360 120 120 \n", + "9 : 5854 698 356 124 110 \n", + "10 : 5843 670 350 138 141 \n", + "11 : 5830 679 382 129 122 \n", + "12 : 5878 694 351 97 122 \n", + "13 : 5874 690 362 120 108 \n", "\n", - "T : 81290 9391 5196 2084 2039 [100000]\n", + "T : 81958 9660 4959 1721 1702 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0362e-02 sec\n", - "--- Collate = 6.0335e-05 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 4.8992e-02 sec\n", + "--- Collate = 6.0251e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.713873e-06 < 6.250000e-03 [1225]\n", - "--- Max DT=1.322357e+00 > 1.000000e-01 [68953]\n", + "--- Min DT=1.685295e-06 < 6.250000e-03 [1025]\n", + "--- Max DT=1.617398e+00 > 1.000000e-01 [68793]\n", "----------------------------------------------------------------------\n", - " Component | low: 1225/100000\n", - " Component | high: 68953/100000\n", + " Component | low: 1025/100000\n", + " Component | high: 68793/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=70] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00078323 [ 0.49 %]\n", - "Velocity : 0.00245862 [ 1.53 %]\n", - "Force : 0.0608039 [ 37.73 %]\n", - "Coefs : 0.0267162 [ 16.58 %]\n", - "Output : 0.00554558 [ 3.44 %]\n", - "Levels : 0.00020812 [ 0.13 %]\n", - "Report : 1.385e-06 [ 0.00 %]\n", - "Balance : 5.41e-07 [ 0.00 %]\n", - "Adjust : 0.0646062 [ 40.09 %]\n", - "Total : 0.161172 [100.00 %]\n", + "Drift : 0.000526435 [ 0.02 %]\n", + "Velocity : 0.00306526 [ 0.09 %]\n", + "Force : 0.647631 [ 19.52 %]\n", + "Coefs : 1.89375 [ 57.09 %]\n", + "Output : 0.010124 [ 0.31 %]\n", + "Levels : 0.000248683 [ 0.01 %]\n", + "Report : 8.37e-07 [ 0.00 %]\n", + "Balance : 6.38e-07 [ 0.00 %]\n", + "Adjust : 0.762003 [ 22.97 %]\n", + "Total : 3.3174 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5831 642 361 151 157 \n", - "1 : 5824 679 369 120 150 \n", - "2 : 5767 711 368 141 155 \n", - "3 : 5822 655 376 152 137 \n", - "4 : 5763 678 371 173 157 \n", - "5 : 5864 646 351 119 162 \n", - "6 : 5836 638 374 164 130 \n", - "7 : 5790 689 384 131 148 \n", - "8 : 5820 691 345 158 128 \n", - "9 : 5780 687 361 152 162 \n", - "10 : 5792 694 366 130 160 \n", - "11 : 5773 655 433 154 127 \n", - "12 : 5813 643 397 137 152 \n", - "13 : 5803 688 361 163 139 \n", + "0 : 5816 687 380 139 120 \n", + "1 : 5860 707 328 131 116 \n", + "2 : 5843 683 370 113 133 \n", + "3 : 5856 693 337 129 127 \n", + "4 : 5841 678 374 118 131 \n", + "5 : 5884 688 342 115 113 \n", + "6 : 5882 685 334 114 127 \n", + "7 : 5856 710 324 135 117 \n", + "8 : 5844 693 367 123 115 \n", + "9 : 5853 691 372 119 107 \n", + "10 : 5838 671 348 146 139 \n", + "11 : 5823 689 379 133 118 \n", + "12 : 5879 692 342 114 115 \n", + "13 : 5874 686 360 128 106 \n", "\n", - "T : 81278 9396 5217 2045 2064 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81949 9653 4957 1757 1684 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.9%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.1027e-02 sec\n", - "--- Collate = 7.6605e-05 sec\n", + "--- Coef/DT = 2.8%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 2.9490e-02 sec\n", + "--- Collate = 3.0147e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.562718e-06 < 6.250000e-03 [1254]\n", - "--- Max DT=1.328646e+00 > 1.000000e-01 [69012]\n", + "--- Min DT=1.015984e-06 < 6.250000e-03 [1008]\n", + "--- Max DT=1.623906e+00 > 1.000000e-01 [68768]\n", "----------------------------------------------------------------------\n", - " Component | low: 1254/100000\n", - " Component | high: 69012/100000\n", + " Component | low: 1008/100000\n", + " Component | high: 68768/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=70.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000656715 [ 0.42 %]\n", - "Velocity : 0.00265117 [ 1.70 %]\n", - "Force : 0.0593686 [ 38.04 %]\n", - "Coefs : 0.02365 [ 15.15 %]\n", - "Output : 0.00110126 [ 0.71 %]\n", - "Levels : 0.000256012 [ 0.16 %]\n", - "Report : 1.255e-06 [ 0.00 %]\n", - "Balance : 5.45e-07 [ 0.00 %]\n", - "Adjust : 0.0683332 [ 43.78 %]\n", - "Total : 0.156067 [100.00 %]\n", + "Drift : 0.00105857 [ 0.04 %]\n", + "Velocity : 0.00309436 [ 0.12 %]\n", + "Force : 0.473192 [ 18.09 %]\n", + "Coefs : 1.58385 [ 60.56 %]\n", + "Output : 0.00154995 [ 0.06 %]\n", + "Levels : 0.00016293 [ 0.01 %]\n", + "Report : 2.58e-07 [ 0.00 %]\n", + "Balance : 1.74e-07 [ 0.00 %]\n", + "Adjust : 0.55254 [ 21.13 %]\n", + "Total : 2.6155 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5835 636 358 147 166 \n", - "1 : 5830 675 368 118 151 \n", - "2 : 5774 708 370 131 159 \n", - "3 : 5822 650 391 131 148 \n", - "4 : 5757 679 375 171 160 \n", - "5 : 5856 663 349 114 160 \n", - "6 : 5836 632 388 157 129 \n", - "7 : 5795 690 380 137 140 \n", - "8 : 5824 680 361 146 131 \n", - "9 : 5781 689 353 152 167 \n", - "10 : 5800 679 373 129 161 \n", - "11 : 5770 667 422 152 131 \n", - "12 : 5815 640 397 133 157 \n", - "13 : 5802 690 352 163 147 \n", + "0 : 5817 687 378 140 120 \n", + "1 : 5865 697 340 121 119 \n", + "2 : 5843 685 371 114 129 \n", + "3 : 5854 691 344 135 118 \n", + "4 : 5839 681 370 120 132 \n", + "5 : 5879 697 335 119 112 \n", + "6 : 5878 693 334 114 123 \n", + "7 : 5859 706 329 130 118 \n", + "8 : 5845 689 369 131 108 \n", + "9 : 5854 688 372 127 101 \n", + "10 : 5837 678 345 140 142 \n", + "11 : 5817 695 385 137 108 \n", + "12 : 5875 700 344 111 112 \n", + "13 : 5876 685 356 130 107 \n", "\n", - "T : 81297 9378 5237 1981 2107 [100000]\n", + "T : 81938 9672 4972 1769 1649 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", - "--- Adj/Tot = 2.4%\n", - "--- Update = 1.0401e-02 sec\n", - "--- Collate = 6.9648e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 3.7382e-02 sec\n", + "--- Collate = 3.0219e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.448754e-06 < 6.250000e-03 [1258]\n", - "--- Max DT=1.334938e+00 > 1.000000e-01 [69052]\n", + "--- Min DT=2.274487e-06 < 6.250000e-03 [1000]\n", + "--- Max DT=1.630419e+00 > 1.000000e-01 [68762]\n", "----------------------------------------------------------------------\n", - " Component | low: 1258/100000\n", - " Component | high: 69052/100000\n", + " Component | low: 1000/100000\n", + " Component | high: 68762/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=70.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000716001 [ 0.48 %]\n", - "Velocity : 0.00221278 [ 1.49 %]\n", - "Force : 0.0564012 [ 37.97 %]\n", - "Coefs : 0.0234069 [ 15.76 %]\n", - "Output : 0.000892627 [ 0.60 %]\n", - "Levels : 0.00023844 [ 0.16 %]\n", - "Report : 1.172e-06 [ 0.00 %]\n", - "Balance : 3.76e-07 [ 0.00 %]\n", - "Adjust : 0.0646096 [ 43.50 %]\n", - "Total : 0.148523 [100.00 %]\n", + "Drift : 0.00439166 [ 0.15 %]\n", + "Velocity : 0.00167353 [ 0.06 %]\n", + "Force : 0.46743 [ 16.30 %]\n", + "Coefs : 1.78733 [ 62.34 %]\n", + "Output : 0.000792996 [ 0.03 %]\n", + "Levels : 0.000170958 [ 0.01 %]\n", + "Report : 3.45e-07 [ 0.00 %]\n", + "Balance : 1.52e-07 [ 0.00 %]\n", + "Adjust : 0.605417 [ 21.12 %]\n", + "Total : 2.86723 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5829 632 376 141 164 \n", - "1 : 5835 672 366 126 143 \n", - "2 : 5779 705 365 137 156 \n", - "3 : 5822 657 386 121 156 \n", - "4 : 5766 674 375 168 159 \n", - "5 : 5853 663 351 114 161 \n", - "6 : 5844 619 397 154 128 \n", - "7 : 5801 687 366 144 144 \n", - "8 : 5825 684 353 148 132 \n", - "9 : 5785 688 349 151 169 \n", - "10 : 5803 682 370 123 164 \n", - "11 : 5776 669 416 143 138 \n", - "12 : 5825 630 398 131 158 \n", - "13 : 5807 687 356 153 151 \n", + "0 : 5824 677 385 134 122 \n", + "1 : 5865 695 345 124 113 \n", + "2 : 5846 691 366 111 128 \n", + "3 : 5850 694 349 133 116 \n", + "4 : 5833 686 371 120 132 \n", + "5 : 5880 700 333 119 110 \n", + "6 : 5881 697 323 117 124 \n", + "7 : 5864 698 333 123 124 \n", + "8 : 5845 683 364 138 112 \n", + "9 : 5858 680 374 122 108 \n", + "10 : 5837 678 349 148 130 \n", + "11 : 5820 690 382 147 103 \n", + "12 : 5877 693 351 110 111 \n", + "13 : 5876 685 365 125 103 \n", "\n", - "T : 81350 9349 5224 1954 2123 [100000]\n", + "T : 81956 9647 4990 1771 1636 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.3%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.0497e-02 sec\n", - "--- Collate = 6.4381e-05 sec\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 4.7675e-02 sec\n", + "--- Collate = 5.0145e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.813301e-07 < 6.250000e-03 [1284]\n", - "--- Max DT=1.341235e+00 > 1.000000e-01 [69074]\n", + "--- Min DT=3.317582e-06 < 6.250000e-03 [994]\n", + "--- Max DT=1.636934e+00 > 1.000000e-01 [68768]\n", "----------------------------------------------------------------------\n", - " Component | low: 1284/100000\n", - " Component | high: 69074/100000\n", + " Component | low: 994/100000\n", + " Component | high: 68768/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=70.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00137329 [ 0.90 %]\n", - "Velocity : 0.00243128 [ 1.59 %]\n", - "Force : 0.057326 [ 37.52 %]\n", - "Coefs : 0.0229257 [ 15.01 %]\n", - "Output : 0.000954973 [ 0.63 %]\n", - "Levels : 0.000220952 [ 0.14 %]\n", - "Report : 1.004e-06 [ 0.00 %]\n", - "Balance : 6.21e-07 [ 0.00 %]\n", - "Adjust : 0.0674967 [ 44.18 %]\n", - "Total : 0.152779 [100.00 %]\n", + "Drift : 0.00037755 [ 0.01 %]\n", + "Velocity : 0.00172071 [ 0.05 %]\n", + "Force : 0.488977 [ 15.54 %]\n", + "Coefs : 2.01198 [ 63.92 %]\n", + "Output : 0.00216497 [ 0.07 %]\n", + "Levels : 0.000172178 [ 0.01 %]\n", + "Report : 3.77e-07 [ 0.00 %]\n", + "Balance : 1.43e-07 [ 0.00 %]\n", + "Adjust : 0.642155 [ 20.40 %]\n", + "Total : 3.14758 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5832 633 374 136 167 \n", - "1 : 5837 669 360 127 149 \n", - "2 : 5775 709 368 124 166 \n", - "3 : 5822 652 387 125 156 \n", - "4 : 5767 672 381 165 157 \n", - "5 : 5858 658 349 120 157 \n", - "6 : 5840 623 403 144 132 \n", - "7 : 5804 685 360 144 149 \n", - "8 : 5826 690 342 150 134 \n", - "9 : 5789 681 344 160 168 \n", - "10 : 5802 679 365 135 161 \n", - "11 : 5782 670 410 135 145 \n", - "12 : 5827 633 394 127 161 \n", - "13 : 5813 680 346 166 149 \n", + "0 : 5822 683 382 137 118 \n", + "1 : 5861 701 325 150 105 \n", + "2 : 5847 690 357 119 129 \n", + "3 : 5849 690 353 138 112 \n", + "4 : 5833 684 370 124 131 \n", + "5 : 5884 687 345 116 110 \n", + "6 : 5882 701 319 113 127 \n", + "7 : 5867 697 330 128 120 \n", + "8 : 5848 673 368 132 121 \n", + "9 : 5856 679 383 112 112 \n", + "10 : 5837 673 350 145 137 \n", + "11 : 5825 684 384 134 115 \n", + "12 : 5873 699 343 119 108 \n", + "13 : 5876 685 365 117 111 \n", "\n", - "T : 81374 9334 5183 1958 2151 [100000]\n", + "T : 81960 9626 4974 1784 1656 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.3%\n", - "--- Adj/Tot = 2.4%\n", - "--- Update = 1.0604e-02 sec\n", - "--- Collate = 8.4523e-05 sec\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 5.1586e-02 sec\n", + "--- Collate = 7.0180e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.331874e-06 < 6.250000e-03 [1286]\n", - "--- Max DT=1.347535e+00 > 1.000000e-01 [69116]\n", + "--- Min DT=8.695035e-07 < 6.250000e-03 [961]\n", + "--- Max DT=1.643453e+00 > 1.000000e-01 [68762]\n", "----------------------------------------------------------------------\n", - " Component | low: 1286/100000\n", - " Component | high: 69116/100000\n", + " Component | low: 961/100000\n", + " Component | high: 68762/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=70.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00058308 [ 0.38 %]\n", - "Velocity : 0.00235024 [ 1.53 %]\n", - "Force : 0.0572524 [ 37.37 %]\n", - "Coefs : 0.0238458 [ 15.56 %]\n", - "Output : 0.000826907 [ 0.54 %]\n", - "Levels : 0.000248311 [ 0.16 %]\n", - "Report : 1.485e-06 [ 0.00 %]\n", - "Balance : 4.99e-07 [ 0.00 %]\n", - "Adjust : 0.0680611 [ 44.42 %]\n", - "Total : 0.153214 [100.00 %]\n", - "----------------------------------------------------------------------\n", - "\n", - "----------------------------------------------------------------------\n", - "--- Level info--------------------------------------------------------\n", - "----------------------------------------------------------------------\n", - "0 : 5831 633 372 152 154 \n", - "1 : 5837 668 367 124 146 \n", - "2 : 5777 701 367 137 160 \n", - "3 : 5817 659 381 136 149 \n", - "4 : 5777 662 383 161 159 \n", - "5 : 5859 654 348 132 149 \n", - "6 : 5851 612 405 139 135 \n", - "7 : 5796 692 365 136 153 \n", - "8 : 5826 690 337 150 139 \n", - "9 : 5787 685 333 172 165 \n", - "10 : 5797 682 379 122 162 \n", - "11 : 5780 670 402 148 142 \n", - "12 : 5826 632 389 139 156 \n", - "13 : 5807 690 352 145 160 \n", - "\n", - "T : 81368 9330 5180 1993 2129 [100000]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000346153 [ 0.01 %]\n", + "Velocity : 0.0016882 [ 0.05 %]\n", + "Force : 0.52319 [ 14.43 %]\n", + "Coefs : 2.39112 [ 65.96 %]\n", + "Output : 0.000825333 [ 0.02 %]\n", + "Levels : 0.000269916 [ 0.01 %]\n", + "Report : 4.01e-07 [ 0.00 %]\n", + "Balance : 1.33e-07 [ 0.00 %]\n", + "Adjust : 0.707857 [ 19.53 %]\n", + "Total : 3.62533 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5825 676 379 137 125 \n", + "1 : 5858 694 338 148 104 \n", + "2 : 5840 694 352 133 123 \n", + "3 : 5854 684 354 139 111 \n", + "4 : 5833 689 369 127 124 \n", + "5 : 5893 680 343 112 114 \n", + "6 : 5882 696 328 110 126 \n", + "7 : 5872 689 334 132 115 \n", + "8 : 5842 686 365 124 125 \n", + "9 : 5854 680 384 120 104 \n", + "10 : 5834 674 355 139 140 \n", + "11 : 5827 672 406 121 116 \n", + "12 : 5871 702 337 122 110 \n", + "13 : 5873 692 354 120 115 \n", + "\n", + "T : 81958 9608 4998 1784 1652 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.8%\n", - "--- Adj/Tot = 2.3%\n", - "--- Update = 1.0808e-02 sec\n", - "--- Collate = 6.8146e-05 sec\n", + "--- Coef/DT = 34.4%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 3.5612e-02 sec\n", + "--- Collate = 8.0128e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.770695e-07 < 6.250000e-03 [1288]\n", - "--- Max DT=1.353839e+00 > 1.000000e-01 [69140]\n", + "--- Min DT=4.692328e-07 < 6.250000e-03 [972]\n", + "--- Max DT=1.649976e+00 > 1.000000e-01 [68771]\n", "----------------------------------------------------------------------\n", - " Component | low: 1288/100000\n", - " Component | high: 69140/100000\n", + " Component | low: 972/100000\n", + " Component | high: 68771/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=70.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000744774 [ 0.48 %]\n", - "Velocity : 0.00263602 [ 1.72 %]\n", - "Force : 0.0575572 [ 37.47 %]\n", - "Coefs : 0.0235879 [ 15.36 %]\n", - "Output : 0.00114359 [ 0.74 %]\n", - "Levels : 0.000254866 [ 0.17 %]\n", - "Report : 1.202e-06 [ 0.00 %]\n", - "Balance : 4.29e-07 [ 0.00 %]\n", - "Adjust : 0.0676254 [ 44.03 %]\n", - "Total : 0.153598 [100.00 %]\n", + "Drift : 0.00030751 [ 0.01 %]\n", + "Velocity : 0.00206501 [ 0.07 %]\n", + "Force : 0.474881 [ 14.98 %]\n", + "Coefs : 2.07255 [ 65.37 %]\n", + "Output : 0.000891812 [ 0.03 %]\n", + "Levels : 0.000303798 [ 0.01 %]\n", + "Report : 4.28e-07 [ 0.00 %]\n", + "Balance : 1.17e-07 [ 0.00 %]\n", + "Adjust : 0.619451 [ 19.54 %]\n", + "Total : 3.17048 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5834 637 363 158 150 \n", - "1 : 5829 674 362 129 148 \n", - "2 : 5777 696 374 131 164 \n", - "3 : 5807 664 392 136 143 \n", - "4 : 5772 666 387 160 157 \n", - "5 : 5856 661 350 129 146 \n", - "6 : 5858 595 411 144 134 \n", - "7 : 5791 698 365 139 149 \n", - "8 : 5829 680 341 151 141 \n", - "9 : 5788 689 341 167 157 \n", - "10 : 5804 676 383 119 160 \n", - "11 : 5777 676 399 140 150 \n", - "12 : 5822 632 402 128 158 \n", - "13 : 5812 686 347 148 161 \n", + "0 : 5827 672 371 150 122 \n", + "1 : 5861 698 336 145 102 \n", + "2 : 5842 690 357 125 128 \n", + "3 : 5856 685 355 136 110 \n", + "4 : 5836 685 362 131 128 \n", + "5 : 5894 672 353 112 111 \n", + "6 : 5879 699 329 110 125 \n", + "7 : 5877 683 334 134 114 \n", + "8 : 5844 679 373 125 121 \n", + "9 : 5852 680 388 107 115 \n", + "10 : 5840 673 344 143 142 \n", + "11 : 5825 686 400 115 116 \n", + "12 : 5861 712 337 131 101 \n", + "13 : 5870 700 341 122 121 \n", "\n", - "T : 81356 9330 5217 1979 2118 [100000]\n", + "T : 81964 9614 4980 1786 1656 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.3%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.0696e-02 sec\n", - "--- Collate = 1.5207e-04 sec\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 3.8563e-02 sec\n", + "--- Collate = 1.3009e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.694810e-06 < 6.250000e-03 [1276]\n", - "--- Max DT=1.360147e+00 > 1.000000e-01 [69199]\n", + "--- Min DT=1.915483e-06 < 6.250000e-03 [967]\n", + "--- Max DT=1.656502e+00 > 1.000000e-01 [68770]\n", "----------------------------------------------------------------------\n", - " Component | low: 1276/100000\n", - " Component | high: 69199/100000\n", + " Component | low: 967/100000\n", + " Component | high: 68770/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=70.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000595504 [ 0.38 %]\n", - "Velocity : 0.00273213 [ 1.76 %]\n", - "Force : 0.057937 [ 37.38 %]\n", - "Coefs : 0.0232167 [ 14.98 %]\n", - "Output : 0.00100902 [ 0.65 %]\n", - "Levels : 0.000274137 [ 0.18 %]\n", - "Report : 1.158e-06 [ 0.00 %]\n", - "Balance : 4.34e-07 [ 0.00 %]\n", - "Adjust : 0.0691702 [ 44.63 %]\n", - "Total : 0.154988 [100.00 %]\n", + "Drift : 0.000316887 [ 0.01 %]\n", + "Velocity : 0.00192907 [ 0.06 %]\n", + "Force : 0.466229 [ 15.60 %]\n", + "Coefs : 1.88098 [ 62.95 %]\n", + "Output : 0.000892857 [ 0.03 %]\n", + "Levels : 0.000179161 [ 0.01 %]\n", + "Report : 3.83e-07 [ 0.00 %]\n", + "Balance : 1.77e-07 [ 0.00 %]\n", + "Adjust : 0.637575 [ 21.34 %]\n", + "Total : 2.98813 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5833 638 363 164 144 \n", - "1 : 5831 674 355 135 147 \n", - "2 : 5788 686 372 129 167 \n", - "3 : 5810 656 391 138 147 \n", - "4 : 5771 663 392 163 153 \n", - "5 : 5859 661 346 138 138 \n", - "6 : 5854 604 404 147 133 \n", - "7 : 5791 704 354 146 147 \n", - "8 : 5829 681 326 167 139 \n", - "9 : 5782 696 333 166 165 \n", - "10 : 5806 667 390 125 154 \n", - "11 : 5776 679 390 141 156 \n", - "12 : 5819 642 382 142 157 \n", - "13 : 5809 691 350 144 160 \n", + "0 : 5826 681 371 141 123 \n", + "1 : 5862 696 340 138 106 \n", + "2 : 5849 693 350 121 129 \n", + "3 : 5859 687 350 140 106 \n", + "4 : 5832 688 364 140 118 \n", + "5 : 5889 681 351 115 106 \n", + "6 : 5878 697 327 115 125 \n", + "7 : 5882 672 331 134 123 \n", + "8 : 5843 675 375 126 123 \n", + "9 : 5855 683 380 112 112 \n", + "10 : 5836 690 338 136 142 \n", + "11 : 5826 690 403 116 107 \n", + "12 : 5861 712 344 121 104 \n", + "13 : 5875 690 343 121 125 \n", "\n", - "T : 81358 9342 5148 2045 2107 [100000]\n", + "T : 81973 9635 4967 1776 1649 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.0522e-02 sec\n", - "--- Collate = 7.0816e-05 sec\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 4.3413e-02 sec\n", + "--- Collate = 2.0268e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.226510e-07 < 6.250000e-03 [1301]\n", - "--- Max DT=1.366460e+00 > 1.000000e-01 [69240]\n", + "--- Min DT=4.703863e-06 < 6.250000e-03 [966]\n", + "--- Max DT=1.663031e+00 > 1.000000e-01 [68774]\n", "----------------------------------------------------------------------\n", - " Component | low: 1301/100000\n", - " Component | high: 69240/100000\n", + " Component | low: 966/100000\n", + " Component | high: 68774/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=70.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0006836 [ 0.44 %]\n", - "Velocity : 0.00245957 [ 1.57 %]\n", - "Force : 0.0580954 [ 37.15 %]\n", - "Coefs : 0.0247633 [ 15.83 %]\n", - "Output : 0.00123497 [ 0.79 %]\n", - "Levels : 0.000263749 [ 0.17 %]\n", - "Report : 1.244e-06 [ 0.00 %]\n", - "Balance : 4.15e-07 [ 0.00 %]\n", - "Adjust : 0.0688357 [ 44.02 %]\n", - "Total : 0.15639 [100.00 %]\n", + "Drift : 0.000337692 [ 0.01 %]\n", + "Velocity : 0.00178506 [ 0.07 %]\n", + "Force : 0.446466 [ 17.78 %]\n", + "Coefs : 1.53788 [ 61.23 %]\n", + "Output : 0.000767547 [ 0.03 %]\n", + "Levels : 0.000193695 [ 0.01 %]\n", + "Report : 4.18e-07 [ 0.00 %]\n", + "Balance : 1.67e-07 [ 0.00 %]\n", + "Adjust : 0.524223 [ 20.87 %]\n", + "Total : 2.51168 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5831 635 377 146 153 \n", - "1 : 5834 673 354 138 143 \n", - "2 : 5786 678 384 133 161 \n", - "3 : 5820 644 395 145 138 \n", - "4 : 5774 658 399 161 150 \n", - "5 : 5863 655 349 138 137 \n", - "6 : 5859 602 397 153 131 \n", - "7 : 5792 703 356 130 161 \n", - "8 : 5830 678 334 162 138 \n", - "9 : 5781 693 333 159 176 \n", - "10 : 5808 663 395 127 149 \n", - "11 : 5776 682 385 131 168 \n", - "12 : 5817 657 369 143 156 \n", - "13 : 5821 676 357 137 163 \n", + "0 : 5827 685 366 139 125 \n", + "1 : 5863 701 338 130 110 \n", + "2 : 5855 687 350 115 135 \n", + "3 : 5861 681 358 131 111 \n", + "4 : 5835 691 361 134 121 \n", + "5 : 5889 682 351 123 97 \n", + "6 : 5879 697 328 111 127 \n", + "7 : 5883 672 335 125 127 \n", + "8 : 5840 679 376 126 121 \n", + "9 : 5854 683 374 115 116 \n", + "10 : 5837 697 337 122 149 \n", + "11 : 5831 687 401 115 108 \n", + "12 : 5867 710 344 106 115 \n", + "13 : 5887 684 350 106 127 \n", "\n", - "T : 81392 9297 5184 2003 2124 [100000]\n", + "T : 82008 9636 4969 1698 1689 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", - "--- Adj/Tot = 2.3%\n", - "--- Update = 1.0418e-02 sec\n", - "--- Collate = 8.3595e-05 sec\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 3.1495e-02 sec\n", + "--- Collate = 4.0212e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.685590e-07 < 6.250000e-03 [1284]\n", - "--- Max DT=1.372776e+00 > 1.000000e-01 [69280]\n", + "--- Min DT=6.928200e-06 < 6.250000e-03 [984]\n", + "--- Max DT=1.669563e+00 > 1.000000e-01 [68754]\n", "----------------------------------------------------------------------\n", - " Component | low: 1284/100000\n", - " Component | high: 69280/100000\n", + " Component | low: 984/100000\n", + " Component | high: 68754/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=70.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000550594 [ 0.36 %]\n", - "Velocity : 0.00279257 [ 1.85 %]\n", - "Force : 0.0574627 [ 38.03 %]\n", - "Coefs : 0.0233801 [ 15.47 %]\n", - "Output : 0.000957902 [ 0.63 %]\n", - "Levels : 0.000181423 [ 0.12 %]\n", - "Report : 1.208e-06 [ 0.00 %]\n", - "Balance : 3.72e-07 [ 0.00 %]\n", - "Adjust : 0.0657424 [ 43.51 %]\n", - "Total : 0.151114 [100.00 %]\n", - "----------------------------------------------------------------------\n", - "\n", - "----------------------------------------------------------------------\n", - "--- Level info--------------------------------------------------------\n", - "----------------------------------------------------------------------\n", - "0 : 5821 649 383 133 156 \n", - "1 : 5841 672 342 148 139 \n", - "2 : 5792 664 392 136 158 \n", - "3 : 5826 639 401 136 140 \n", - "4 : 5775 654 413 153 147 \n", - "5 : 5862 666 341 131 142 \n", - "6 : 5861 600 392 155 134 \n", - "7 : 5797 694 359 126 166 \n", - "8 : 5828 684 332 155 143 \n", - "9 : 5779 691 341 160 171 \n", - "10 : 5809 664 392 121 156 \n", - "11 : 5779 669 398 137 159 \n", - "12 : 5819 657 371 136 159 \n", - "13 : 5814 680 362 136 162 \n", - "\n", - "T : 81403 9283 5219 1963 2132 [100000]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000341725 [ 0.01 %]\n", + "Velocity : 0.00169183 [ 0.06 %]\n", + "Force : 0.423777 [ 15.95 %]\n", + "Coefs : 1.71424 [ 64.51 %]\n", + "Output : 0.000886487 [ 0.03 %]\n", + "Levels : 0.000488604 [ 0.02 %]\n", + "Report : 3.58e-07 [ 0.00 %]\n", + "Balance : 1.55e-07 [ 0.00 %]\n", + "Adjust : 0.51578 [ 19.41 %]\n", + "Total : 2.65723 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5831 683 360 131 137 \n", + "1 : 5863 701 345 123 110 \n", + "2 : 5859 692 342 117 132 \n", + "3 : 5861 686 359 122 114 \n", + "4 : 5834 701 353 124 130 \n", + "5 : 5887 679 350 131 95 \n", + "6 : 5884 688 328 123 119 \n", + "7 : 5879 676 336 128 123 \n", + "8 : 5842 682 375 121 122 \n", + "9 : 5849 677 381 118 117 \n", + "10 : 5839 697 334 123 149 \n", + "11 : 5836 690 391 117 108 \n", + "12 : 5861 715 347 100 119 \n", + "13 : 5892 685 341 113 123 \n", + "\n", + "T : 82017 9652 4942 1691 1698 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 2.4%\n", - "--- Update = 1.0407e-02 sec\n", - "--- Collate = 7.1646e-05 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.0%\n", + "--- Update = 6.2621e-02 sec\n", + "--- Collate = 3.8267e-04 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.550141e-07 < 6.250000e-03 [1284]\n", - "--- Max DT=1.379096e+00 > 1.000000e-01 [69344]\n", + "--- Min DT=6.434967e-06 < 6.250000e-03 [982]\n", + "--- Max DT=1.676099e+00 > 1.000000e-01 [68754]\n", "----------------------------------------------------------------------\n", - " Component | low: 1284/100000\n", - " Component | high: 69344/100000\n", + " Component | low: 982/100000\n", + " Component | high: 68754/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=70.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000596017 [ 0.40 %]\n", - "Velocity : 0.00217281 [ 1.45 %]\n", - "Force : 0.0572546 [ 38.16 %]\n", - "Coefs : 0.0236638 [ 15.77 %]\n", - "Output : 0.000985778 [ 0.66 %]\n", - "Levels : 0.00020907 [ 0.14 %]\n", - "Report : 1.184e-06 [ 0.00 %]\n", - "Balance : 3.73e-07 [ 0.00 %]\n", - "Adjust : 0.0651005 [ 43.39 %]\n", - "Total : 0.150028 [100.00 %]\n", + "Drift : 0.00038206 [ 0.01 %]\n", + "Velocity : 0.00318356 [ 0.10 %]\n", + "Force : 0.535463 [ 16.16 %]\n", + "Coefs : 2.01058 [ 60.69 %]\n", + "Output : 0.0011393 [ 0.03 %]\n", + "Levels : 0.000296434 [ 0.01 %]\n", + "Report : 7.99e-07 [ 0.00 %]\n", + "Balance : 3.52e-07 [ 0.00 %]\n", + "Adjust : 0.761964 [ 23.00 %]\n", + "Total : 3.31306 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5822 650 381 137 152 \n", - "1 : 5836 675 343 147 141 \n", - "2 : 5793 662 397 137 153 \n", - "3 : 5832 642 385 146 137 \n", - "4 : 5776 650 426 151 139 \n", - "5 : 5858 666 344 140 134 \n", - "6 : 5865 599 385 153 140 \n", - "7 : 5800 698 352 125 167 \n", - "8 : 5831 687 326 152 146 \n", - "9 : 5777 689 355 153 168 \n", - "10 : 5811 662 394 126 149 \n", - "11 : 5782 668 399 135 158 \n", - "12 : 5824 656 367 144 151 \n", - "13 : 5820 670 373 136 155 \n", + "0 : 5830 681 368 123 140 \n", + "1 : 5859 711 344 122 106 \n", + "2 : 5863 696 337 118 128 \n", + "3 : 5858 691 364 109 120 \n", + "4 : 5840 699 344 129 130 \n", + "5 : 5888 675 351 136 92 \n", + "6 : 5879 695 328 122 118 \n", + "7 : 5880 670 341 129 122 \n", + "8 : 5839 680 377 122 124 \n", + "9 : 5850 676 377 110 129 \n", + "10 : 5839 693 342 127 141 \n", + "11 : 5839 684 399 109 111 \n", + "12 : 5858 720 346 103 115 \n", + "13 : 5888 689 338 115 124 \n", "\n", - "T : 81427 9274 5227 1982 2090 [100000]\n", + "T : 82010 9660 4956 1674 1700 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.4%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.0755e-02 sec\n", - "--- Collate = 6.9794e-05 sec\n", + "--- Coef/DT = 3.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 5.5857e-02 sec\n", + "--- Collate = 1.3036e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.796859e-06 < 6.250000e-03 [1307]\n", - "--- Max DT=1.385420e+00 > 1.000000e-01 [69378]\n", + "--- Min DT=1.616623e-06 < 6.250000e-03 [988]\n", + "--- Max DT=1.682638e+00 > 1.000000e-01 [68756]\n", "----------------------------------------------------------------------\n", - " Component | low: 1307/100000\n", - " Component | high: 69378/100000\n", + " Component | low: 988/100000\n", + " Component | high: 68756/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=71] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000534909 [ 0.34 %]\n", - "Velocity : 0.00274325 [ 1.76 %]\n", - "Force : 0.0574067 [ 36.74 %]\n", - "Coefs : 0.0229379 [ 14.68 %]\n", - "Output : 0.00538661 [ 3.45 %]\n", - "Levels : 0.000242593 [ 0.16 %]\n", - "Report : 1.407e-06 [ 0.00 %]\n", - "Balance : 6.17e-07 [ 0.00 %]\n", - "Adjust : 0.0669432 [ 42.84 %]\n", - "Total : 0.156249 [100.00 %]\n", + "Drift : 0.00496621 [ 0.12 %]\n", + "Velocity : 0.00445587 [ 0.11 %]\n", + "Force : 0.732613 [ 17.45 %]\n", + "Coefs : 2.58846 [ 61.65 %]\n", + "Output : 0.0102341 [ 0.24 %]\n", + "Levels : 0.000287768 [ 0.01 %]\n", + "Report : 1.109e-06 [ 0.00 %]\n", + "Balance : 5.82e-07 [ 0.00 %]\n", + "Adjust : 0.857599 [ 20.43 %]\n", + "Total : 4.19868 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5820 648 387 139 148 \n", - "1 : 5829 687 331 151 144 \n", - "2 : 5786 674 386 145 151 \n", - "3 : 5840 634 385 143 140 \n", - "4 : 5783 648 411 159 141 \n", - "5 : 5858 666 344 139 135 \n", - "6 : 5863 609 374 147 149 \n", - "7 : 5801 693 356 128 164 \n", - "8 : 5831 683 337 135 156 \n", - "9 : 5776 695 351 157 163 \n", - "10 : 5803 678 382 137 142 \n", - "11 : 5790 663 396 134 159 \n", - "12 : 5822 660 363 154 143 \n", - "13 : 5816 685 364 135 154 \n", + "0 : 5831 673 374 133 131 \n", + "1 : 5861 718 329 131 103 \n", + "2 : 5865 691 334 127 125 \n", + "3 : 5855 694 367 110 116 \n", + "4 : 5835 700 345 132 130 \n", + "5 : 5896 654 362 136 94 \n", + "6 : 5873 695 327 129 118 \n", + "7 : 5881 668 337 134 122 \n", + "8 : 5841 676 380 116 129 \n", + "9 : 5849 678 371 113 131 \n", + "10 : 5839 689 348 127 139 \n", + "11 : 5832 679 406 119 106 \n", + "12 : 5860 722 339 113 108 \n", + "13 : 5891 687 350 104 122 \n", "\n", - "T : 81418 9323 5167 2003 2089 [100000]\n", + "T : 82009 9624 4969 1724 1674 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", - "--- Adj/Tot = 2.3%\n", - "--- Update = 1.0574e-02 sec\n", - "--- Collate = 8.2436e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 6.5457e-02 sec\n", + "--- Collate = 8.0123e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.173894e-06 < 6.250000e-03 [1298]\n", - "--- Max DT=1.391747e+00 > 1.000000e-01 [69387]\n", + "--- Min DT=3.656608e-06 < 6.250000e-03 [985]\n", + "--- Max DT=1.689180e+00 > 1.000000e-01 [68756]\n", "----------------------------------------------------------------------\n", - " Component | low: 1298/100000\n", - " Component | high: 69387/100000\n", + " Component | low: 985/100000\n", + " Component | high: 68756/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=71.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000767705 [ 0.50 %]\n", - "Velocity : 0.00233408 [ 1.53 %]\n", - "Force : 0.0578135 [ 37.98 %]\n", - "Coefs : 0.0236017 [ 15.50 %]\n", - "Output : 0.000948733 [ 0.62 %]\n", - "Levels : 0.000229033 [ 0.15 %]\n", - "Report : 1.292e-06 [ 0.00 %]\n", - "Balance : 4.06e-07 [ 0.00 %]\n", - "Adjust : 0.0664986 [ 43.68 %]\n", - "Total : 0.15224 [100.00 %]\n", + "Drift : 0.000854227 [ 0.02 %]\n", + "Velocity : 0.00326184 [ 0.09 %]\n", + "Force : 0.578946 [ 15.11 %]\n", + "Coefs : 2.45753 [ 64.16 %]\n", + "Output : 0.00159614 [ 0.04 %]\n", + "Levels : 0.000319087 [ 0.01 %]\n", + "Report : 7.88e-07 [ 0.00 %]\n", + "Balance : 2.49e-07 [ 0.00 %]\n", + "Adjust : 0.787984 [ 20.57 %]\n", + "Total : 3.83055 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5828 632 398 132 152 \n", - "1 : 5834 680 342 151 135 \n", - "2 : 5792 672 390 129 159 \n", - "3 : 5831 644 374 159 134 \n", - "4 : 5783 650 406 160 143 \n", - "5 : 5863 658 345 146 130 \n", - "6 : 5866 603 371 145 157 \n", - "7 : 5792 701 351 137 161 \n", - "8 : 5831 682 330 150 149 \n", - "9 : 5786 685 356 147 168 \n", - "10 : 5803 679 381 134 145 \n", - "11 : 5787 663 399 128 165 \n", - "12 : 5825 663 351 152 151 \n", - "13 : 5819 684 355 140 156 \n", + "0 : 5834 680 374 132 122 \n", + "1 : 5864 721 326 127 104 \n", + "2 : 5864 685 343 123 127 \n", + "3 : 5848 704 358 115 117 \n", + "4 : 5840 699 346 128 129 \n", + "5 : 5894 660 369 122 97 \n", + "6 : 5872 697 317 135 121 \n", + "7 : 5878 674 345 127 118 \n", + "8 : 5845 679 367 122 129 \n", + "9 : 5845 685 370 116 126 \n", + "10 : 5839 678 367 124 134 \n", + "11 : 5837 677 401 117 110 \n", + "12 : 5860 719 336 122 105 \n", + "13 : 5895 681 361 102 115 \n", "\n", - "T : 81440 9296 5149 2010 2105 [100000]\n", + "T : 82015 9639 4980 1712 1654 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.0641e-02 sec\n", - "--- Collate = 8.1365e-05 sec\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 5.1447e-02 sec\n", + "--- Collate = 8.0289e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.125108e-07 < 6.250000e-03 [1300]\n", - "--- Max DT=1.398079e+00 > 1.000000e-01 [69426]\n", + "--- Min DT=7.730182e-06 < 6.250000e-03 [967]\n", + "--- Max DT=1.695726e+00 > 1.000000e-01 [68750]\n", "----------------------------------------------------------------------\n", - " Component | low: 1300/100000\n", - " Component | high: 69426/100000\n", + " Component | low: 967/100000\n", + " Component | high: 68750/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=71.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000585309 [ 0.38 %]\n", - "Velocity : 0.00225454 [ 1.47 %]\n", - "Force : 0.0583747 [ 37.99 %]\n", - "Coefs : 0.0240314 [ 15.64 %]\n", - "Output : 0.000810583 [ 0.53 %]\n", - "Levels : 0.000192589 [ 0.13 %]\n", - "Report : 1.26e-06 [ 0.00 %]\n", - "Balance : 3.83e-07 [ 0.00 %]\n", - "Adjust : 0.0673785 [ 43.84 %]\n", - "Total : 0.153677 [100.00 %]\n", + "Drift : 0.000914901 [ 0.03 %]\n", + "Velocity : 0.00253476 [ 0.09 %]\n", + "Force : 0.463169 [ 17.10 %]\n", + "Coefs : 1.67729 [ 61.93 %]\n", + "Output : 0.00104634 [ 0.04 %]\n", + "Levels : 0.000238193 [ 0.01 %]\n", + "Report : 9.88e-07 [ 0.00 %]\n", + "Balance : 5.51e-07 [ 0.00 %]\n", + "Adjust : 0.563139 [ 20.79 %]\n", + "Total : 2.70839 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5828 630 400 129 155 \n", - "1 : 5831 685 345 157 124 \n", - "2 : 5790 678 385 136 153 \n", - "3 : 5836 642 370 150 144 \n", - "4 : 5788 643 404 162 145 \n", - "5 : 5866 658 348 139 131 \n", - "6 : 5873 593 367 149 160 \n", - "7 : 5793 699 356 128 166 \n", - "8 : 5843 667 333 144 155 \n", - "9 : 5785 687 359 145 166 \n", - "10 : 5801 683 387 128 143 \n", - "11 : 5791 653 406 129 163 \n", - "12 : 5829 658 350 147 158 \n", - "13 : 5815 689 354 148 148 \n", + "0 : 5838 677 370 128 129 \n", + "1 : 5861 727 328 124 102 \n", + "2 : 5862 682 350 118 130 \n", + "3 : 5849 695 362 123 113 \n", + "4 : 5845 694 353 120 130 \n", + "5 : 5897 660 368 117 100 \n", + "6 : 5875 693 328 122 124 \n", + "7 : 5889 669 336 130 118 \n", + "8 : 5843 686 362 116 135 \n", + "9 : 5846 678 369 123 126 \n", + "10 : 5840 680 359 121 142 \n", + "11 : 5843 668 400 116 115 \n", + "12 : 5865 716 339 119 103 \n", + "13 : 5893 680 359 109 113 \n", "\n", - "T : 81469 9265 5164 1991 2111 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 82046 9605 4983 1686 1680 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.0527e-02 sec\n", - "--- Collate = 7.1222e-05 sec\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 3.6482e-02 sec\n", + "--- Collate = 1.7034e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.176674e-07 < 6.250000e-03 [1342]\n", - "--- Max DT=1.404414e+00 > 1.000000e-01 [69438]\n", + "--- Min DT=7.264437e-07 < 6.250000e-03 [979]\n", + "--- Max DT=1.702275e+00 > 1.000000e-01 [68755]\n", "----------------------------------------------------------------------\n", - " Component | low: 1342/100000\n", - " Component | high: 69438/100000\n", + " Component | low: 979/100000\n", + " Component | high: 68755/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=71.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000671859 [ 0.44 %]\n", - "Velocity : 0.00224245 [ 1.47 %]\n", - "Force : 0.0577405 [ 37.89 %]\n", - "Coefs : 0.0231261 [ 15.17 %]\n", - "Output : 0.0011248 [ 0.74 %]\n", - "Levels : 0.00019294 [ 0.13 %]\n", - "Report : 1.23e-06 [ 0.00 %]\n", - "Balance : 3.29e-07 [ 0.00 %]\n", - "Adjust : 0.0672497 [ 44.13 %]\n", - "Total : 0.152403 [100.00 %]\n", + "Drift : 0.000543633 [ 0.02 %]\n", + "Velocity : 0.00230387 [ 0.06 %]\n", + "Force : 0.619895 [ 17.18 %]\n", + "Coefs : 2.25331 [ 62.44 %]\n", + "Output : 0.00165252 [ 0.05 %]\n", + "Levels : 0.000295489 [ 0.01 %]\n", + "Report : 1.24e-06 [ 0.00 %]\n", + "Balance : 5.07e-07 [ 0.00 %]\n", + "Adjust : 0.730591 [ 20.25 %]\n", + "Total : 3.60866 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5827 631 399 125 160 \n", - "1 : 5838 676 351 145 132 \n", - "2 : 5793 673 386 138 152 \n", - "3 : 5839 636 378 143 146 \n", - "4 : 5795 640 404 156 147 \n", - "5 : 5869 653 353 139 128 \n", - "6 : 5874 597 363 146 162 \n", - "7 : 5798 686 365 127 166 \n", - "8 : 5844 665 340 128 165 \n", - "9 : 5790 668 381 138 165 \n", - "10 : 5804 683 382 136 137 \n", - "11 : 5789 647 411 135 160 \n", - "12 : 5830 660 359 132 161 \n", - "13 : 5813 697 353 142 149 \n", + "0 : 5846 666 369 135 126 \n", + "1 : 5863 732 326 118 103 \n", + "2 : 5868 679 344 118 133 \n", + "3 : 5851 692 364 121 114 \n", + "4 : 5841 688 362 123 128 \n", + "5 : 5900 658 364 111 109 \n", + "6 : 5879 691 331 122 119 \n", + "7 : 5891 659 342 123 127 \n", + "8 : 5841 682 363 127 129 \n", + "9 : 5840 689 365 126 122 \n", + "10 : 5840 682 358 120 142 \n", + "11 : 5842 675 389 121 115 \n", + "12 : 5869 707 350 115 101 \n", + "13 : 5900 673 363 115 103 \n", "\n", - "T : 81503 9212 5225 1930 2130 [100000]\n", + "T : 82071 9573 4990 1695 1671 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", - "--- Adj/Tot = 2.3%\n", - "--- Update = 1.0540e-02 sec\n", - "--- Collate = 6.3588e-05 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 5.1499e-02 sec\n", + "--- Collate = 9.0336e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.904039e-08 < 6.250000e-03 [1325]\n", - "--- Max DT=1.410754e+00 > 1.000000e-01 [69460]\n", + "--- Min DT=9.358468e-06 < 6.250000e-03 [993]\n", + "--- Max DT=1.708827e+00 > 1.000000e-01 [68758]\n", "----------------------------------------------------------------------\n", - " Component | low: 1325/100000\n", - " Component | high: 69460/100000\n", + " Component | low: 993/100000\n", + " Component | high: 68758/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=71.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000643262 [ 0.42 %]\n", - "Velocity : 0.00220878 [ 1.46 %]\n", - "Force : 0.057237 [ 37.80 %]\n", - "Coefs : 0.0233833 [ 15.44 %]\n", - "Output : 0.000913668 [ 0.60 %]\n", - "Levels : 0.000207926 [ 0.14 %]\n", - "Report : 1.172e-06 [ 0.00 %]\n", - "Balance : 3.69e-07 [ 0.00 %]\n", - "Adjust : 0.0667762 [ 44.10 %]\n", - "Total : 0.151413 [100.00 %]\n", + "Drift : 0.00055355 [ 0.02 %]\n", + "Velocity : 0.00228018 [ 0.07 %]\n", + "Force : 0.562914 [ 17.41 %]\n", + "Coefs : 2.0156 [ 62.34 %]\n", + "Output : 0.00120952 [ 0.04 %]\n", + "Levels : 0.000250062 [ 0.01 %]\n", + "Report : 6.63e-07 [ 0.00 %]\n", + "Balance : 3.27e-07 [ 0.00 %]\n", + "Adjust : 0.650614 [ 20.12 %]\n", + "Total : 3.23348 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5834 626 394 127 161 \n", - "1 : 5842 673 351 138 138 \n", - "2 : 5794 678 380 136 154 \n", - "3 : 5852 632 370 132 156 \n", - "4 : 5795 643 404 149 151 \n", - "5 : 5871 655 351 141 124 \n", - "6 : 5875 599 366 146 156 \n", - "7 : 5796 685 370 129 162 \n", - "8 : 5838 670 340 140 154 \n", - "9 : 5783 676 380 141 162 \n", - "10 : 5803 681 378 142 138 \n", - "11 : 5784 653 408 135 162 \n", - "12 : 5832 654 363 124 169 \n", - "13 : 5816 693 359 140 146 \n", + "0 : 5847 667 375 128 125 \n", + "1 : 5860 731 332 113 106 \n", + "2 : 5864 676 354 116 132 \n", + "3 : 5853 683 369 124 113 \n", + "4 : 5839 689 371 119 124 \n", + "5 : 5900 655 362 120 105 \n", + "6 : 5879 689 333 126 115 \n", + "7 : 5882 667 339 120 134 \n", + "8 : 5843 680 367 115 137 \n", + "9 : 5839 684 371 125 123 \n", + "10 : 5838 682 363 123 136 \n", + "11 : 5845 673 382 135 107 \n", + "12 : 5871 703 357 104 107 \n", + "13 : 5899 674 364 111 106 \n", "\n", - "T : 81515 9218 5214 1920 2133 [100000]\n", + "T : 82059 9553 5039 1679 1670 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.0944e-02 sec\n", - "--- Collate = 8.2862e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 5.6800e-02 sec\n", + "--- Collate = 1.1830e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.415594e-08 < 6.250000e-03 [1322]\n", - "--- Max DT=1.417097e+00 > 1.000000e-01 [69474]\n", + "--- Min DT=1.883633e-07 < 6.250000e-03 [958]\n", + "--- Max DT=1.715383e+00 > 1.000000e-01 [68744]\n", "----------------------------------------------------------------------\n", - " Component | low: 1322/100000\n", - " Component | high: 69474/100000\n", + " Component | low: 958/100000\n", + " Component | high: 68744/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=71.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000716252 [ 0.47 %]\n", - "Velocity : 0.00273324 [ 1.79 %]\n", - "Force : 0.0565269 [ 36.98 %]\n", - "Coefs : 0.0230248 [ 15.06 %]\n", - "Output : 0.00104743 [ 0.69 %]\n", - "Levels : 0.000281824 [ 0.18 %]\n", - "Report : 1.267e-06 [ 0.00 %]\n", - "Balance : 5.58e-07 [ 0.00 %]\n", - "Adjust : 0.0684675 [ 44.79 %]\n", - "Total : 0.152849 [100.00 %]\n", + "Drift : 0.000674605 [ 0.02 %]\n", + "Velocity : 0.00215961 [ 0.06 %]\n", + "Force : 0.584027 [ 17.35 %]\n", + "Coefs : 2.00898 [ 59.70 %]\n", + "Output : 0.000962582 [ 0.03 %]\n", + "Levels : 0.00042128 [ 0.01 %]\n", + "Report : 1.059e-06 [ 0.00 %]\n", + "Balance : 6.46e-07 [ 0.00 %]\n", + "Adjust : 0.767965 [ 22.82 %]\n", + "Total : 3.36525 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5833 625 402 121 161 \n", - "1 : 5846 663 366 124 143 \n", - "2 : 5797 667 391 135 152 \n", - "3 : 5851 639 366 130 156 \n", - "4 : 5792 651 405 141 153 \n", - "5 : 5871 655 351 143 122 \n", - "6 : 5875 597 370 146 154 \n", - "7 : 5797 680 370 139 156 \n", - "8 : 5839 664 339 138 162 \n", - "9 : 5779 679 378 135 171 \n", - "10 : 5802 680 382 135 143 \n", - "11 : 5787 661 387 142 165 \n", - "12 : 5833 660 361 119 169 \n", - "13 : 5819 691 360 135 149 \n", + "0 : 5847 666 383 132 114 \n", + "1 : 5861 729 334 113 105 \n", + "2 : 5859 676 354 126 127 \n", + "3 : 5855 683 372 119 113 \n", + "4 : 5841 680 380 130 111 \n", + "5 : 5900 659 360 124 99 \n", + "6 : 5880 683 337 129 113 \n", + "7 : 5872 677 334 119 140 \n", + "8 : 5843 684 364 114 137 \n", + "9 : 5837 683 371 120 131 \n", + "10 : 5831 697 360 125 129 \n", + "11 : 5850 673 377 129 113 \n", + "12 : 5870 699 361 102 110 \n", + "13 : 5896 681 354 116 107 \n", "\n", - "T : 81521 9212 5228 1883 2156 [100000]\n", + "T : 82042 9570 5041 1698 1649 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.0%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.1129e-02 sec\n", - "--- Collate = 9.3309e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.2182e-02 sec\n", + "--- Collate = 6.9901e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.043477e-07 < 6.250000e-03 [1308]\n", - "--- Max DT=1.423443e+00 > 1.000000e-01 [69491]\n", + "--- Min DT=1.432984e-06 < 6.250000e-03 [963]\n", + "--- Max DT=1.721941e+00 > 1.000000e-01 [68745]\n", "----------------------------------------------------------------------\n", - " Component | low: 1308/100000\n", - " Component | high: 69491/100000\n", + " Component | low: 963/100000\n", + " Component | high: 68745/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=71.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000900821 [ 0.54 %]\n", - "Velocity : 0.0034385 [ 2.05 %]\n", - "Force : 0.0621761 [ 36.98 %]\n", - "Coefs : 0.0240542 [ 14.31 %]\n", - "Output : 0.00125796 [ 0.75 %]\n", - "Levels : 0.000242099 [ 0.14 %]\n", - "Report : 1.331e-06 [ 0.00 %]\n", - "Balance : 5.18e-07 [ 0.00 %]\n", - "Adjust : 0.0760107 [ 45.21 %]\n", - "Total : 0.16814 [100.00 %]\n", + "Drift : 0.000814761 [ 0.02 %]\n", + "Velocity : 0.00271966 [ 0.08 %]\n", + "Force : 0.617932 [ 18.29 %]\n", + "Coefs : 2.0457 [ 60.55 %]\n", + "Output : 0.00118884 [ 0.04 %]\n", + "Levels : 0.000251249 [ 0.01 %]\n", + "Report : 1.218e-06 [ 0.00 %]\n", + "Balance : 3.98e-07 [ 0.00 %]\n", + "Adjust : 0.709944 [ 21.01 %]\n", + "Total : 3.37861 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5835 617 409 118 163 \n", - "1 : 5850 661 362 126 143 \n", - "2 : 5798 668 395 131 150 \n", - "3 : 5849 635 368 130 160 \n", - "4 : 5791 657 392 153 149 \n", - "5 : 5866 655 346 151 124 \n", - "6 : 5875 600 363 146 158 \n", - "7 : 5800 678 370 143 151 \n", - "8 : 5843 655 349 126 169 \n", - "9 : 5786 665 387 136 168 \n", - "10 : 5808 669 390 128 147 \n", - "11 : 5776 669 385 146 166 \n", - "12 : 5833 664 352 120 173 \n", - "13 : 5823 687 363 130 151 \n", + "0 : 5848 660 393 123 118 \n", + "1 : 5862 729 330 116 105 \n", + "2 : 5857 684 359 113 129 \n", + "3 : 5848 684 380 119 111 \n", + "4 : 5847 674 377 133 111 \n", + "5 : 5896 667 355 125 99 \n", + "6 : 5880 686 338 131 107 \n", + "7 : 5870 672 335 132 133 \n", + "8 : 5851 674 368 112 137 \n", + "9 : 5844 682 363 130 123 \n", + "10 : 5825 703 367 114 133 \n", + "11 : 5841 687 369 128 117 \n", + "12 : 5875 685 367 108 107 \n", + "13 : 5900 681 352 115 106 \n", "\n", - "T : 81533 9180 5231 1884 2172 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 82044 9568 5053 1699 1636 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.7%\n", - "--- Adj/Tot = 2.3%\n", - "--- Update = 1.1483e-02 sec\n", - "--- Collate = 9.0892e-05 sec\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 4.4222e-02 sec\n", + "--- Collate = 8.0508e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.223030e-06 < 6.250000e-03 [1313]\n", - "--- Max DT=1.429794e+00 > 1.000000e-01 [69490]\n", + "--- Min DT=3.092568e-06 < 6.250000e-03 [956]\n", + "--- Max DT=1.728503e+00 > 1.000000e-01 [68745]\n", "----------------------------------------------------------------------\n", - " Component | low: 1313/100000\n", - " Component | high: 69490/100000\n", + " Component | low: 956/100000\n", + " Component | high: 68745/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=71.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000805867 [ 0.49 %]\n", - "Velocity : 0.00300345 [ 1.83 %]\n", - "Force : 0.0615508 [ 37.46 %]\n", - "Coefs : 0.0234088 [ 14.25 %]\n", - "Output : 0.00149432 [ 0.91 %]\n", - "Levels : 0.000266029 [ 0.16 %]\n", - "Report : 1.341e-06 [ 0.00 %]\n", - "Balance : 5.8e-07 [ 0.00 %]\n", - "Adjust : 0.0737067 [ 44.86 %]\n", - "Total : 0.164292 [100.00 %]\n", + "Drift : 0.000562872 [ 0.02 %]\n", + "Velocity : 0.00307108 [ 0.10 %]\n", + "Force : 0.544597 [ 17.11 %]\n", + "Coefs : 2.00592 [ 63.02 %]\n", + "Output : 0.00151584 [ 0.05 %]\n", + "Levels : 0.000492483 [ 0.02 %]\n", + "Report : 9.41e-07 [ 0.00 %]\n", + "Balance : 3.83e-07 [ 0.00 %]\n", + "Adjust : 0.626719 [ 19.69 %]\n", + "Total : 3.18293 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5836 617 406 129 154 \n", - "1 : 5845 670 355 126 146 \n", - "2 : 5796 663 400 138 145 \n", - "3 : 5848 631 371 129 163 \n", - "4 : 5783 666 396 151 146 \n", - "5 : 5864 662 345 135 136 \n", - "6 : 5887 594 354 153 154 \n", - "7 : 5805 671 370 136 160 \n", - "8 : 5840 657 355 132 158 \n", - "9 : 5790 660 376 155 161 \n", - "10 : 5810 660 386 141 145 \n", - "11 : 5778 666 382 141 175 \n", - "12 : 5834 665 344 124 175 \n", - "13 : 5814 697 362 130 151 \n", + "0 : 5845 660 396 121 120 \n", + "1 : 5856 733 337 117 99 \n", + "2 : 5861 686 356 116 123 \n", + "3 : 5847 682 380 121 112 \n", + "4 : 5847 672 384 129 110 \n", + "5 : 5898 669 350 129 96 \n", + "6 : 5882 687 328 134 111 \n", + "7 : 5866 680 335 122 139 \n", + "8 : 5854 672 369 124 123 \n", + "9 : 5845 678 364 133 122 \n", + "10 : 5824 704 369 118 127 \n", + "11 : 5836 689 366 135 116 \n", + "12 : 5873 692 359 111 107 \n", + "13 : 5892 695 344 117 106 \n", "\n", - "T : 81530 9179 5202 1920 2169 [100000]\n", + "T : 82026 9599 5037 1727 1611 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.4%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0889e-02 sec\n", - "--- Collate = 7.7787e-05 sec\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 6.6802e-02 sec\n", + "--- Collate = 8.6512e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.042320e-06 < 6.250000e-03 [1317]\n", - "--- Max DT=1.436148e+00 > 1.000000e-01 [69508]\n", + "--- Min DT=3.992967e-06 < 6.250000e-03 [980]\n", + "--- Max DT=1.735069e+00 > 1.000000e-01 [68748]\n", "----------------------------------------------------------------------\n", - " Component | low: 1317/100000\n", - " Component | high: 69508/100000\n", + " Component | low: 980/100000\n", + " Component | high: 68748/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=71.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000857337 [ 0.52 %]\n", - "Velocity : 0.0032528 [ 1.98 %]\n", - "Force : 0.0619112 [ 37.62 %]\n", - "Coefs : 0.026081 [ 15.85 %]\n", - "Output : 0.00173641 [ 1.06 %]\n", - "Levels : 0.000238057 [ 0.14 %]\n", - "Report : 1.313e-06 [ 0.00 %]\n", - "Balance : 4.57e-07 [ 0.00 %]\n", - "Adjust : 0.0704294 [ 42.80 %]\n", - "Total : 0.164562 [100.00 %]\n", + "Drift : 0.00162044 [ 0.04 %]\n", + "Velocity : 0.00262417 [ 0.07 %]\n", + "Force : 0.704603 [ 18.31 %]\n", + "Coefs : 2.35141 [ 61.11 %]\n", + "Output : 0.00151475 [ 0.04 %]\n", + "Levels : 0.000283229 [ 0.01 %]\n", + "Report : 9.49e-07 [ 0.00 %]\n", + "Balance : 3.66e-07 [ 0.00 %]\n", + "Adjust : 0.785414 [ 20.41 %]\n", + "Total : 3.84752 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5840 604 414 138 146 \n", - "1 : 5840 668 363 121 150 \n", - "2 : 5801 659 397 141 144 \n", - "3 : 5843 636 357 149 157 \n", - "4 : 5784 661 387 154 156 \n", - "5 : 5869 652 352 132 137 \n", - "6 : 5883 597 357 146 159 \n", - "7 : 5804 679 366 133 160 \n", - "8 : 5845 656 351 135 155 \n", - "9 : 5794 657 372 157 162 \n", - "10 : 5803 662 388 147 142 \n", - "11 : 5782 662 375 143 180 \n", - "12 : 5830 667 346 131 168 \n", - "13 : 5811 701 367 129 146 \n", + "0 : 5840 669 395 124 114 \n", + "1 : 5854 734 338 115 101 \n", + "2 : 5862 684 353 116 127 \n", + "3 : 5847 673 392 113 117 \n", + "4 : 5847 673 381 130 111 \n", + "5 : 5894 670 350 131 97 \n", + "6 : 5875 691 342 125 109 \n", + "7 : 5861 683 330 129 139 \n", + "8 : 5849 675 373 125 120 \n", + "9 : 5846 672 371 131 122 \n", + "10 : 5826 704 368 122 122 \n", + "11 : 5832 687 381 123 119 \n", + "12 : 5870 698 353 124 97 \n", + "13 : 5890 694 344 114 112 \n", "\n", - "T : 81529 9161 5192 1956 2162 [100000]\n", + "T : 81993 9607 5071 1722 1607 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.0084e-02 sec\n", - "--- Collate = 6.6956e-05 sec\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.7592e-02 sec\n", + "--- Collate = 6.0520e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.892642e-06 < 6.250000e-03 [1298]\n", - "--- Max DT=1.442506e+00 > 1.000000e-01 [69530]\n", + "--- Min DT=9.305406e-06 < 6.250000e-03 [961]\n", + "--- Max DT=1.741637e+00 > 1.000000e-01 [68750]\n", "----------------------------------------------------------------------\n", - " Component | low: 1298/100000\n", - " Component | high: 69530/100000\n", + " Component | low: 961/100000\n", + " Component | high: 68750/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=71.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000628019 [ 0.41 %]\n", - "Velocity : 0.00239259 [ 1.57 %]\n", - "Force : 0.0579902 [ 38.03 %]\n", - "Coefs : 0.0239703 [ 15.72 %]\n", - "Output : 0.00079113 [ 0.52 %]\n", - "Levels : 0.000247963 [ 0.16 %]\n", - "Report : 1.423e-06 [ 0.00 %]\n", - "Balance : 4.38e-07 [ 0.00 %]\n", - "Adjust : 0.0664187 [ 43.56 %]\n", - "Total : 0.152482 [100.00 %]\n", + "Drift : 0.000657647 [ 0.02 %]\n", + "Velocity : 0.00246295 [ 0.06 %]\n", + "Force : 0.700136 [ 16.83 %]\n", + "Coefs : 2.60765 [ 62.68 %]\n", + "Output : 0.00137036 [ 0.03 %]\n", + "Levels : 0.000274704 [ 0.01 %]\n", + "Report : 6.68e-07 [ 0.00 %]\n", + "Balance : 2.72e-07 [ 0.00 %]\n", + "Adjust : 0.847809 [ 20.38 %]\n", + "Total : 4.16041 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5839 601 415 143 144 \n", - "1 : 5849 660 356 127 150 \n", - "2 : 5810 650 395 142 145 \n", - "3 : 5840 640 355 145 162 \n", - "4 : 5776 666 394 146 160 \n", - "5 : 5874 648 359 123 138 \n", - "6 : 5878 603 355 151 155 \n", - "7 : 5809 673 370 133 157 \n", - "8 : 5842 661 350 132 157 \n", - "9 : 5798 651 382 148 163 \n", - "10 : 5805 647 393 155 142 \n", - "11 : 5772 674 368 142 186 \n", - "12 : 5836 661 345 141 159 \n", - "13 : 5810 706 353 136 149 \n", + "0 : 5843 668 387 131 113 \n", + "1 : 5851 730 343 119 99 \n", + "2 : 5859 684 354 118 127 \n", + "3 : 5851 673 396 105 117 \n", + "4 : 5847 675 377 124 119 \n", + "5 : 5895 673 351 131 92 \n", + "6 : 5874 683 351 121 113 \n", + "7 : 5864 676 344 124 134 \n", + "8 : 5846 677 381 126 112 \n", + "9 : 5845 664 386 119 128 \n", + "10 : 5821 712 368 124 117 \n", + "11 : 5836 697 369 113 127 \n", + "12 : 5873 700 352 123 94 \n", + "13 : 5887 701 333 126 107 \n", "\n", - "T : 81538 9141 5190 1964 2167 [100000]\n", + "T : 81992 9613 5092 1704 1599 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.0315e-02 sec\n", - "--- Collate = 6.9534e-05 sec\n", + "--- Coef/DT = 28.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.1110e-02 sec\n", + "--- Collate = 1.4017e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.104455e-07 < 6.250000e-03 [1291]\n", - "--- Max DT=1.448868e+00 > 1.000000e-01 [69522]\n", - "----------------------------------------------------------------------\n", - " Component | low: 1291/100000\n", - " Component | high: 69522/100000\n", + "--- Min DT=2.252668e-06 < 6.250000e-03 [970]\n", + "--- Max DT=1.748209e+00 > 1.000000e-01 [68747]\n", "----------------------------------------------------------------------\n", + " Component | low: 970/100000\n", + " Component | high: 68747/100000\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=72] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000726875 [ 0.44 %]\n", - "Velocity : 0.00304947 [ 1.85 %]\n", - "Force : 0.0607965 [ 36.79 %]\n", - "Coefs : 0.0234852 [ 14.21 %]\n", - "Output : 0.00567641 [ 3.44 %]\n", - "Levels : 0.000269901 [ 0.16 %]\n", - "Report : 1.857e-06 [ 0.00 %]\n", - "Balance : 7.07e-07 [ 0.00 %]\n", - "Adjust : 0.0711877 [ 43.08 %]\n", - "Total : 0.165247 [100.00 %]\n", + "Drift : 0.000551801 [ 0.02 %]\n", + "Velocity : 0.00277848 [ 0.08 %]\n", + "Force : 0.643522 [ 17.61 %]\n", + "Coefs : 2.24659 [ 61.47 %]\n", + "Output : 0.00987109 [ 0.27 %]\n", + "Levels : 0.000302062 [ 0.01 %]\n", + "Report : 1.073e-06 [ 0.00 %]\n", + "Balance : 5.91e-07 [ 0.00 %]\n", + "Adjust : 0.75127 [ 20.55 %]\n", + "Total : 3.65494 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5837 609 408 140 148 \n", - "1 : 5846 664 350 135 147 \n", - "2 : 5800 659 398 143 142 \n", - "3 : 5840 633 373 137 159 \n", - "4 : 5770 672 394 146 160 \n", - "5 : 5878 641 366 112 145 \n", - "6 : 5871 608 366 138 159 \n", - "7 : 5818 674 365 131 154 \n", - "8 : 5847 660 347 131 157 \n", - "9 : 5791 652 384 148 167 \n", - "10 : 5799 651 391 158 143 \n", - "11 : 5774 671 368 139 190 \n", - "12 : 5831 661 345 147 158 \n", - "13 : 5810 701 357 137 149 \n", + "0 : 5841 667 388 135 111 \n", + "1 : 5850 735 339 116 102 \n", + "2 : 5860 680 356 119 127 \n", + "3 : 5847 677 395 106 117 \n", + "4 : 5843 672 385 122 120 \n", + "5 : 5899 665 353 133 92 \n", + "6 : 5872 688 351 117 114 \n", + "7 : 5855 687 340 131 129 \n", + "8 : 5842 679 383 119 119 \n", + "9 : 5843 668 387 115 129 \n", + "10 : 5819 708 380 115 120 \n", + "11 : 5834 696 379 107 126 \n", + "12 : 5877 694 346 128 97 \n", + "13 : 5889 700 329 136 100 \n", "\n", - "T : 81512 9156 5212 1942 2178 [100000]\n", + "T : 81971 9616 5111 1699 1603 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.7%\n", - "--- Adj/Tot = 2.3%\n", - "--- Update = 1.0046e-02 sec\n", - "--- Collate = 6.7279e-05 sec\n", + "--- Coef/DT = 57.8%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 7.4278e-02 sec\n", + "--- Collate = 3.9423e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.272992e-06 < 6.250000e-03 [1284]\n", - "--- Max DT=1.455234e+00 > 1.000000e-01 [69558]\n", + "--- Min DT=2.999955e-07 < 6.250000e-03 [957]\n", + "--- Max DT=1.754784e+00 > 1.000000e-01 [68762]\n", "----------------------------------------------------------------------\n", - " Component | low: 1284/100000\n", - " Component | high: 69558/100000\n", + " Component | low: 957/100000\n", + " Component | high: 68762/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=72.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000730186 [ 0.48 %]\n", - "Velocity : 0.00247403 [ 1.64 %]\n", - "Force : 0.0575376 [ 38.07 %]\n", - "Coefs : 0.0232585 [ 15.39 %]\n", - "Output : 0.000882542 [ 0.58 %]\n", - "Levels : 0.000231378 [ 0.15 %]\n", - "Report : 1.222e-06 [ 0.00 %]\n", - "Balance : 4.13e-07 [ 0.00 %]\n", - "Adjust : 0.0659554 [ 43.64 %]\n", - "Total : 0.15113 [100.00 %]\n", + "Drift : 0.000846893 [ 0.03 %]\n", + "Velocity : 0.00310607 [ 0.10 %]\n", + "Force : 0.54361 [ 16.80 %]\n", + "Coefs : 1.99217 [ 61.58 %]\n", + "Output : 0.00141542 [ 0.04 %]\n", + "Levels : 0.0002346 [ 0.01 %]\n", + "Report : 6.03e-07 [ 0.00 %]\n", + "Balance : 2.69e-07 [ 0.00 %]\n", + "Adjust : 0.693478 [ 21.44 %]\n", + "Total : 3.23492 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5838 617 396 148 143 \n", - "1 : 5845 659 356 132 150 \n", - "2 : 5803 652 403 145 139 \n", - "3 : 5841 632 363 146 160 \n", - "4 : 5768 674 396 143 161 \n", - "5 : 5874 644 368 110 146 \n", - "6 : 5873 613 358 138 160 \n", - "7 : 5829 666 347 150 150 \n", - "8 : 5842 668 342 133 157 \n", - "9 : 5804 631 393 157 157 \n", - "10 : 5797 649 391 161 144 \n", - "11 : 5778 663 375 135 191 \n", - "12 : 5829 647 366 146 154 \n", - "13 : 5811 696 358 140 149 \n", + "0 : 5849 664 387 125 117 \n", + "1 : 5849 737 334 122 100 \n", + "2 : 5858 674 369 112 129 \n", + "3 : 5849 676 394 112 111 \n", + "4 : 5841 672 384 127 118 \n", + "5 : 5898 661 360 126 97 \n", + "6 : 5873 687 355 118 109 \n", + "7 : 5856 687 331 141 127 \n", + "8 : 5845 674 384 121 118 \n", + "9 : 5837 667 394 118 126 \n", + "10 : 5824 707 380 109 122 \n", + "11 : 5831 693 378 116 124 \n", + "12 : 5872 701 341 136 92 \n", + "13 : 5886 695 338 137 98 \n", "\n", - "T : 81532 9111 5212 1984 2161 [100000]\n", + "T : 81968 9595 5129 1720 1588 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", - "--- Adj/Tot = 2.3%\n", - "--- Update = 9.9967e-03 sec\n", - "--- Collate = 6.6074e-05 sec\n", + "--- Coef/DT = 30.9%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 3.9522e-02 sec\n", + "--- Collate = 1.5018e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.155369e-06 < 6.250000e-03 [1257]\n", - "--- Max DT=1.461603e+00 > 1.000000e-01 [69581]\n", + "--- Min DT=6.208317e-07 < 6.250000e-03 [956]\n", + "--- Max DT=1.761361e+00 > 1.000000e-01 [68773]\n", "----------------------------------------------------------------------\n", - " Component | low: 1257/100000\n", - " Component | high: 69581/100000\n", + " Component | low: 956/100000\n", + " Component | high: 68773/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=72.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000652153 [ 0.44 %]\n", - "Velocity : 0.00210965 [ 1.44 %]\n", - "Force : 0.0557268 [ 37.95 %]\n", - "Coefs : 0.0230899 [ 15.72 %]\n", - "Output : 0.000888972 [ 0.61 %]\n", - "Levels : 0.000247263 [ 0.17 %]\n", - "Report : 1.436e-06 [ 0.00 %]\n", - "Balance : 5.43e-07 [ 0.00 %]\n", - "Adjust : 0.0640847 [ 43.64 %]\n", - "Total : 0.14685 [100.00 %]\n", + "Drift : 0.000781433 [ 0.02 %]\n", + "Velocity : 0.00253242 [ 0.07 %]\n", + "Force : 0.565271 [ 15.32 %]\n", + "Coefs : 2.35465 [ 63.81 %]\n", + "Output : 0.00111227 [ 0.03 %]\n", + "Levels : 0.000250332 [ 0.01 %]\n", + "Report : 6.18e-07 [ 0.00 %]\n", + "Balance : 2.14e-07 [ 0.00 %]\n", + "Adjust : 0.765588 [ 20.75 %]\n", + "Total : 3.69023 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5841 614 401 151 135 \n", - "1 : 5845 650 358 141 148 \n", - "2 : 5799 658 399 138 148 \n", - "3 : 5844 631 358 151 158 \n", - "4 : 5768 666 407 144 157 \n", - "5 : 5880 635 361 121 145 \n", - "6 : 5871 611 355 139 166 \n", - "7 : 5832 657 358 138 157 \n", - "8 : 5847 660 352 135 148 \n", - "9 : 5806 624 401 155 156 \n", - "10 : 5803 647 384 166 142 \n", - "11 : 5779 657 382 127 197 \n", - "12 : 5828 650 374 141 149 \n", - "13 : 5814 687 364 140 149 \n", + "0 : 5853 656 386 119 128 \n", + "1 : 5847 737 336 115 107 \n", + "2 : 5859 674 362 121 126 \n", + "3 : 5846 676 387 127 106 \n", + "4 : 5841 676 388 113 124 \n", + "5 : 5893 668 345 131 105 \n", + "6 : 5877 683 361 116 105 \n", + "7 : 5857 684 337 131 133 \n", + "8 : 5844 677 382 124 115 \n", + "9 : 5840 664 386 119 133 \n", + "10 : 5829 710 372 114 117 \n", + "11 : 5833 698 366 121 124 \n", + "12 : 5878 692 344 134 94 \n", + "13 : 5882 694 344 131 103 \n", "\n", - "T : 81557 9047 5254 1987 2155 [100000]\n", + "T : 81979 9589 5096 1716 1620 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", - "--- Adj/Tot = 2.3%\n", - "--- Update = 1.0221e-02 sec\n", - "--- Collate = 6.2851e-05 sec\n", + "--- Coef/DT = 31.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 5.4526e-02 sec\n", + "--- Collate = 8.0313e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.458367e-06 < 6.250000e-03 [1258]\n", - "--- Max DT=1.467976e+00 > 1.000000e-01 [69593]\n", + "--- Min DT=5.116726e-06 < 6.250000e-03 [962]\n", + "--- Max DT=1.767943e+00 > 1.000000e-01 [68772]\n", "----------------------------------------------------------------------\n", - " Component | low: 1258/100000\n", - " Component | high: 69593/100000\n", + " Component | low: 962/100000\n", + " Component | high: 68772/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=72.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000616805 [ 0.42 %]\n", - "Velocity : 0.00231691 [ 1.57 %]\n", - "Force : 0.054924 [ 37.32 %]\n", - "Coefs : 0.0224466 [ 15.25 %]\n", - "Output : 0.00110396 [ 0.75 %]\n", - "Levels : 0.000242283 [ 0.16 %]\n", - "Report : 1.106e-06 [ 0.00 %]\n", - "Balance : 4.91e-07 [ 0.00 %]\n", - "Adjust : 0.0654642 [ 44.48 %]\n", - "Total : 0.147161 [100.00 %]\n", + "Drift : 0.000704554 [ 0.02 %]\n", + "Velocity : 0.00225864 [ 0.06 %]\n", + "Force : 0.558261 [ 15.73 %]\n", + "Coefs : 2.23732 [ 63.05 %]\n", + "Output : 0.000959333 [ 0.03 %]\n", + "Levels : 0.000265774 [ 0.01 %]\n", + "Report : 8.37e-07 [ 0.00 %]\n", + "Balance : 3.79e-07 [ 0.00 %]\n", + "Adjust : 0.74852 [ 21.09 %]\n", + "Total : 3.54835 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5837 612 408 147 138 \n", - "1 : 5845 647 364 138 148 \n", - "2 : 5797 660 401 140 144 \n", - "3 : 5845 624 363 147 163 \n", - "4 : 5767 666 409 137 163 \n", - "5 : 5870 650 356 121 145 \n", - "6 : 5870 615 352 139 166 \n", - "7 : 5836 651 365 134 156 \n", - "8 : 5849 656 358 131 148 \n", - "9 : 5816 619 397 156 154 \n", - "10 : 5796 660 378 158 150 \n", - "11 : 5782 663 373 136 188 \n", - "12 : 5824 648 380 142 148 \n", - "13 : 5817 695 356 142 144 \n", + "0 : 5861 650 378 129 124 \n", + "1 : 5846 734 338 123 101 \n", + "2 : 5863 666 368 115 130 \n", + "3 : 5848 667 387 141 99 \n", + "4 : 5843 687 373 118 121 \n", + "5 : 5896 667 343 134 102 \n", + "6 : 5880 682 363 111 106 \n", + "7 : 5856 683 336 135 132 \n", + "8 : 5845 678 383 125 111 \n", + "9 : 5845 659 392 107 139 \n", + "10 : 5830 705 378 115 114 \n", + "11 : 5836 697 360 128 121 \n", + "12 : 5880 692 342 128 100 \n", + "13 : 5879 696 343 137 99 \n", "\n", - "T : 81551 9066 5260 1968 2155 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 82008 9563 5084 1746 1599 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.4%\n", - "--- Adj/Tot = 2.3%\n", - "--- Update = 1.0486e-02 sec\n", - "--- Collate = 6.5829e-05 sec\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 6.7424e-02 sec\n", + "--- Collate = 1.5000e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.095676e-06 < 6.250000e-03 [1218]\n", - "--- Max DT=1.474353e+00 > 1.000000e-01 [69600]\n", + "--- Min DT=8.082332e-06 < 6.250000e-03 [976]\n", + "--- Max DT=1.774527e+00 > 1.000000e-01 [68778]\n", "----------------------------------------------------------------------\n", - " Component | low: 1218/100000\n", - " Component | high: 69600/100000\n", + " Component | low: 976/100000\n", + " Component | high: 68778/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=72.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000648796 [ 0.44 %]\n", - "Velocity : 0.00210925 [ 1.44 %]\n", - "Force : 0.0547353 [ 37.32 %]\n", - "Coefs : 0.0226464 [ 15.44 %]\n", - "Output : 0.000905256 [ 0.62 %]\n", - "Levels : 0.000301592 [ 0.21 %]\n", - "Report : 1.215e-06 [ 0.00 %]\n", - "Balance : 5.27e-07 [ 0.00 %]\n", - "Adjust : 0.0652599 [ 44.50 %]\n", - "Total : 0.146652 [100.00 %]\n", + "Drift : 0.000526304 [ 0.01 %]\n", + "Velocity : 0.00242146 [ 0.06 %]\n", + "Force : 0.613507 [ 16.43 %]\n", + "Coefs : 2.28001 [ 61.05 %]\n", + "Output : 0.000969799 [ 0.03 %]\n", + "Levels : 0.000281257 [ 0.01 %]\n", + "Report : 1.04e-06 [ 0.00 %]\n", + "Balance : 3.75e-07 [ 0.00 %]\n", + "Adjust : 0.837052 [ 22.41 %]\n", + "Total : 3.73482 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5838 612 408 142 142 \n", - "1 : 5849 631 375 131 156 \n", - "2 : 5806 643 405 141 147 \n", - "3 : 5845 631 362 137 167 \n", - "4 : 5766 670 401 143 162 \n", - "5 : 5869 642 356 131 144 \n", - "6 : 5874 619 353 134 162 \n", - "7 : 5832 651 368 142 149 \n", - "8 : 5859 653 351 136 143 \n", - "9 : 5810 637 382 156 157 \n", - "10 : 5794 658 385 151 154 \n", - "11 : 5789 656 376 134 187 \n", - "12 : 5826 652 381 139 144 \n", - "13 : 5815 693 354 146 146 \n", + "0 : 5865 655 375 117 130 \n", + "1 : 5844 727 360 108 103 \n", + "2 : 5864 659 366 117 136 \n", + "3 : 5850 674 373 142 103 \n", + "4 : 5843 697 361 117 124 \n", + "5 : 5898 666 344 134 100 \n", + "6 : 5876 688 363 112 103 \n", + "7 : 5848 695 336 123 140 \n", + "8 : 5847 680 379 134 102 \n", + "9 : 5845 657 389 115 136 \n", + "10 : 5829 704 379 114 116 \n", + "11 : 5833 701 356 125 127 \n", + "12 : 5881 691 346 123 101 \n", + "13 : 5876 698 350 130 100 \n", "\n", - "T : 81572 9048 5257 1963 2160 [100000]\n", + "T : 81999 9592 5077 1711 1621 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.0990e-02 sec\n", - "--- Collate = 6.4155e-05 sec\n", + "--- Coef/DT = 0.7%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 6.0289e-02 sec\n", + "--- Collate = 8.0268e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.509821e-06 < 6.250000e-03 [1265]\n", - "--- Max DT=1.480733e+00 > 1.000000e-01 [69614]\n", + "--- Min DT=1.848023e-06 < 6.250000e-03 [976]\n", + "--- Max DT=1.781115e+00 > 1.000000e-01 [68775]\n", "----------------------------------------------------------------------\n", - " Component | low: 1265/100000\n", - " Component | high: 69614/100000\n", + " Component | low: 976/100000\n", + " Component | high: 68775/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=72.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000867129 [ 0.58 %]\n", - "Velocity : 0.00258366 [ 1.74 %]\n", - "Force : 0.0556781 [ 37.44 %]\n", - "Coefs : 0.0216175 [ 14.54 %]\n", - "Output : 0.000985678 [ 0.66 %]\n", - "Levels : 0.000223837 [ 0.15 %]\n", - "Report : 1.276e-06 [ 0.00 %]\n", - "Balance : 5.47e-07 [ 0.00 %]\n", - "Adjust : 0.066707 [ 44.86 %]\n", - "Total : 0.148715 [100.00 %]\n", + "Drift : 0.00056132 [ 0.01 %]\n", + "Velocity : 0.00273067 [ 0.07 %]\n", + "Force : 0.695145 [ 17.31 %]\n", + "Coefs : 2.50493 [ 62.38 %]\n", + "Output : 0.00134562 [ 0.03 %]\n", + "Levels : 0.000243905 [ 0.01 %]\n", + "Report : 6.32e-07 [ 0.00 %]\n", + "Balance : 2.5e-07 [ 0.00 %]\n", + "Adjust : 0.81068 [ 20.19 %]\n", + "Total : 4.01569 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5836 611 405 149 141 \n", - "1 : 5843 633 373 138 155 \n", - "2 : 5800 654 394 146 148 \n", - "3 : 5847 632 352 150 161 \n", - "4 : 5767 667 403 136 169 \n", - "5 : 5868 631 364 133 146 \n", - "6 : 5869 636 338 137 162 \n", - "7 : 5827 651 367 149 148 \n", - "8 : 5850 660 352 139 141 \n", - "9 : 5805 643 384 145 165 \n", - "10 : 5799 660 376 149 158 \n", - "11 : 5791 646 375 143 187 \n", - "12 : 5819 653 387 132 151 \n", - "13 : 5808 698 364 139 145 \n", + "0 : 5869 647 374 123 129 \n", + "1 : 5846 731 344 109 112 \n", + "2 : 5860 668 358 114 142 \n", + "3 : 5849 677 368 145 103 \n", + "4 : 5844 700 360 112 126 \n", + "5 : 5896 670 347 122 107 \n", + "6 : 5876 688 357 112 109 \n", + "7 : 5850 690 348 111 143 \n", + "8 : 5850 681 377 136 98 \n", + "9 : 5848 650 391 121 132 \n", + "10 : 5836 701 372 114 119 \n", + "11 : 5830 695 375 115 127 \n", + "12 : 5877 692 354 122 97 \n", + "13 : 5869 702 354 132 97 \n", "\n", - "T : 81529 9075 5234 1985 2177 [100000]\n", + "T : 82000 9592 5079 1688 1641 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.3%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.0341e-02 sec\n", - "--- Collate = 8.2179e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 4.0865e-02 sec\n", + "--- Collate = 4.0539e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.835311e-06 < 6.250000e-03 [1277]\n", - "--- Max DT=1.487117e+00 > 1.000000e-01 [69610]\n", + "--- Min DT=5.497116e-07 < 6.250000e-03 [971]\n", + "--- Max DT=1.787705e+00 > 1.000000e-01 [68763]\n", "----------------------------------------------------------------------\n", - " Component | low: 1277/100000\n", - " Component | high: 69610/100000\n", + " Component | low: 971/100000\n", + " Component | high: 68763/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=72.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000721673 [ 0.49 %]\n", - "Velocity : 0.00242112 [ 1.65 %]\n", - "Force : 0.0554645 [ 37.83 %]\n", - "Coefs : 0.0230563 [ 15.72 %]\n", - "Output : 0.000984933 [ 0.67 %]\n", - "Levels : 0.000216077 [ 0.15 %]\n", - "Report : 1.476e-06 [ 0.00 %]\n", - "Balance : 5.47e-07 [ 0.00 %]\n", - "Adjust : 0.0637173 [ 43.46 %]\n", - "Total : 0.146626 [100.00 %]\n", + "Drift : 0.000583231 [ 0.02 %]\n", + "Velocity : 0.00374902 [ 0.10 %]\n", + "Force : 0.643178 [ 17.21 %]\n", + "Coefs : 2.32329 [ 62.16 %]\n", + "Output : 0.00156794 [ 0.04 %]\n", + "Levels : 0.000336675 [ 0.01 %]\n", + "Report : 1.173e-06 [ 0.00 %]\n", + "Balance : 4.28e-07 [ 0.00 %]\n", + "Adjust : 0.764944 [ 20.47 %]\n", + "Total : 3.73772 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5837 605 410 139 151 \n", - "1 : 5837 637 376 145 147 \n", - "2 : 5799 653 402 141 147 \n", - "3 : 5846 630 351 151 164 \n", - "4 : 5775 666 391 141 169 \n", - "5 : 5869 623 373 130 147 \n", - "6 : 5871 639 332 135 165 \n", - "7 : 5823 662 365 146 146 \n", - "8 : 5852 661 348 138 143 \n", - "9 : 5802 654 371 153 162 \n", - "10 : 5797 660 375 153 157 \n", - "11 : 5798 640 378 152 174 \n", - "12 : 5816 657 388 130 151 \n", - "13 : 5809 698 360 141 146 \n", + "0 : 5865 652 374 127 124 \n", + "1 : 5845 726 356 102 113 \n", + "2 : 5860 667 360 123 132 \n", + "3 : 5848 680 367 137 110 \n", + "4 : 5842 705 355 118 122 \n", + "5 : 5896 671 347 112 116 \n", + "6 : 5880 683 356 119 104 \n", + "7 : 5849 692 338 124 139 \n", + "8 : 5845 689 376 123 109 \n", + "9 : 5859 636 389 127 131 \n", + "10 : 5834 706 366 115 121 \n", + "11 : 5818 707 377 113 127 \n", + "12 : 5873 693 359 118 99 \n", + "13 : 5874 695 361 120 104 \n", "\n", - "T : 81531 9085 5220 1995 2169 [100000]\n", + "T : 81988 9602 5081 1678 1651 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.4%\n", - "--- Adj/Tot = 2.4%\n", - "--- Update = 1.0440e-02 sec\n", - "--- Collate = 6.1323e-05 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 5.9503e-02 sec\n", + "--- Collate = 9.0277e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.431972e-06 < 6.250000e-03 [1302]\n", - "--- Max DT=1.493504e+00 > 1.000000e-01 [69608]\n", + "--- Min DT=2.436147e-06 < 6.250000e-03 [997]\n", + "--- Max DT=1.794299e+00 > 1.000000e-01 [68762]\n", "----------------------------------------------------------------------\n", - " Component | low: 1302/100000\n", - " Component | high: 69608/100000\n", + " Component | low: 997/100000\n", + " Component | high: 68762/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=72.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000594519 [ 0.41 %]\n", - "Velocity : 0.00298508 [ 2.05 %]\n", - "Force : 0.0544239 [ 37.37 %]\n", - "Coefs : 0.0225444 [ 15.48 %]\n", - "Output : 0.000803804 [ 0.55 %]\n", - "Levels : 0.000211457 [ 0.15 %]\n", - "Report : 1.284e-06 [ 0.00 %]\n", - "Balance : 4.51e-07 [ 0.00 %]\n", - "Adjust : 0.0640307 [ 43.96 %]\n", - "Total : 0.145652 [100.00 %]\n", + "Drift : 0.00137685 [ 0.04 %]\n", + "Velocity : 0.00387978 [ 0.11 %]\n", + "Force : 0.628687 [ 17.19 %]\n", + "Coefs : 2.31171 [ 63.23 %]\n", + "Output : 0.00128944 [ 0.04 %]\n", + "Levels : 0.000233215 [ 0.01 %]\n", + "Report : 1.163e-06 [ 0.00 %]\n", + "Balance : 3.91e-07 [ 0.00 %]\n", + "Adjust : 0.709081 [ 19.39 %]\n", + "Total : 3.65632 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5840 606 406 146 144 \n", - "1 : 5840 637 378 148 139 \n", - "2 : 5795 657 392 153 145 \n", - "3 : 5847 624 362 135 174 \n", - "4 : 5775 665 394 140 168 \n", - "5 : 5870 625 372 136 139 \n", - "6 : 5872 634 338 134 164 \n", - "7 : 5825 664 364 152 137 \n", - "8 : 5856 659 336 147 144 \n", - "9 : 5804 651 379 152 156 \n", - "10 : 5802 642 387 161 150 \n", - "11 : 5806 631 378 148 179 \n", - "12 : 5817 655 392 134 144 \n", - "13 : 5810 698 364 133 149 \n", + "0 : 5864 656 371 122 129 \n", + "1 : 5842 723 365 99 113 \n", + "2 : 5854 677 353 120 138 \n", + "3 : 5846 679 369 132 116 \n", + "4 : 5848 700 354 120 120 \n", + "5 : 5898 665 347 116 116 \n", + "6 : 5885 676 357 123 101 \n", + "7 : 5845 695 343 122 137 \n", + "8 : 5843 685 379 122 113 \n", + "9 : 5857 640 384 137 124 \n", + "10 : 5843 697 369 107 126 \n", + "11 : 5826 698 377 108 133 \n", + "12 : 5877 687 360 118 100 \n", + "13 : 5872 695 371 114 102 \n", "\n", - "T : 81559 9048 5242 2019 2132 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 82000 9573 5099 1660 1668 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.7%\n", - "--- Adj/Tot = 2.4%\n", - "--- Update = 9.8520e-03 sec\n", - "--- Collate = 5.1267e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 5.3447e-02 sec\n", + "--- Collate = 7.0361e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.202367e-06 < 6.250000e-03 [1295]\n", - "--- Max DT=1.499895e+00 > 1.000000e-01 [69656]\n", + "--- Min DT=4.683795e-07 < 6.250000e-03 [1017]\n", + "--- Max DT=1.800896e+00 > 1.000000e-01 [68793]\n", "----------------------------------------------------------------------\n", - " Component | low: 1295/100000\n", - " Component | high: 69656/100000\n", + " Component | low: 1017/100000\n", + " Component | high: 68793/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=72.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000562426 [ 0.38 %]\n", - "Velocity : 0.00306192 [ 2.08 %]\n", - "Force : 0.05598 [ 38.10 %]\n", - "Coefs : 0.0222326 [ 15.13 %]\n", - "Output : 0.000776653 [ 0.53 %]\n", - "Levels : 0.000196313 [ 0.13 %]\n", - "Report : 8.41e-07 [ 0.00 %]\n", - "Balance : 3.18e-07 [ 0.00 %]\n", - "Adjust : 0.0640689 [ 43.61 %]\n", - "Total : 0.146923 [100.00 %]\n", + "Drift : 0.000511705 [ 0.01 %]\n", + "Velocity : 0.00225815 [ 0.06 %]\n", + "Force : 0.607962 [ 16.95 %]\n", + "Coefs : 2.20606 [ 61.52 %]\n", + "Output : 0.00131153 [ 0.04 %]\n", + "Levels : 0.000332927 [ 0.01 %]\n", + "Report : 6.21e-07 [ 0.00 %]\n", + "Balance : 3.08e-07 [ 0.00 %]\n", + "Adjust : 0.767426 [ 21.40 %]\n", + "Total : 3.58592 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5840 612 399 145 146 \n", - "1 : 5845 626 391 145 135 \n", - "2 : 5797 653 390 153 149 \n", - "3 : 5847 620 368 130 177 \n", - "4 : 5772 658 405 137 170 \n", - "5 : 5876 627 361 130 148 \n", - "6 : 5880 625 338 130 169 \n", - "7 : 5819 671 362 154 136 \n", - "8 : 5851 660 348 139 144 \n", - "9 : 5798 661 372 150 161 \n", - "10 : 5815 634 387 149 157 \n", - "11 : 5809 626 383 156 168 \n", - "12 : 5810 661 399 131 141 \n", - "13 : 5821 680 369 141 143 \n", + "0 : 5858 664 372 122 126 \n", + "1 : 5838 731 365 95 113 \n", + "2 : 5857 671 346 128 140 \n", + "3 : 5851 671 367 142 111 \n", + "4 : 5852 695 350 124 121 \n", + "5 : 5894 665 345 118 120 \n", + "6 : 5888 674 358 124 98 \n", + "7 : 5848 689 345 119 141 \n", + "8 : 5846 680 385 121 110 \n", + "9 : 5855 642 378 145 122 \n", + "10 : 5839 701 369 106 127 \n", + "11 : 5822 696 371 120 133 \n", + "12 : 5874 687 365 123 93 \n", + "13 : 5873 704 365 112 100 \n", "\n", - "T : 81580 9014 5272 1990 2144 [100000]\n", + "T : 81995 9570 5081 1699 1655 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", - "--- Adj/Tot = 2.3%\n", - "--- Update = 1.0063e-02 sec\n", - "--- Collate = 6.1979e-05 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 4.7462e-02 sec\n", + "--- Collate = 4.8951e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.786596e-06 < 6.250000e-03 [1292]\n", - "--- Max DT=1.506290e+00 > 1.000000e-01 [69681]\n", + "--- Min DT=4.308504e-06 < 6.250000e-03 [1001]\n", + "--- Max DT=1.807496e+00 > 1.000000e-01 [68796]\n", "----------------------------------------------------------------------\n", - " Component | low: 1292/100000\n", - " Component | high: 69681/100000\n", + " Component | low: 1001/100000\n", + " Component | high: 68796/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=72.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00057014 [ 0.39 %]\n", - "Velocity : 0.00223346 [ 1.54 %]\n", - "Force : 0.0549672 [ 37.92 %]\n", - "Coefs : 0.0226692 [ 15.64 %]\n", - "Output : 0.000736249 [ 0.51 %]\n", - "Levels : 0.000223479 [ 0.15 %]\n", - "Report : 1.274e-06 [ 0.00 %]\n", - "Balance : 3.86e-07 [ 0.00 %]\n", - "Adjust : 0.0635285 [ 43.82 %]\n", - "Total : 0.144973 [100.00 %]\n", + "Drift : 0.000704276 [ 0.02 %]\n", + "Velocity : 0.002553 [ 0.08 %]\n", + "Force : 0.524335 [ 15.90 %]\n", + "Coefs : 2.112 [ 64.06 %]\n", + "Output : 0.00146814 [ 0.04 %]\n", + "Levels : 0.000233792 [ 0.01 %]\n", + "Report : 5.97e-07 [ 0.00 %]\n", + "Balance : 2.59e-07 [ 0.00 %]\n", + "Adjust : 0.655468 [ 19.88 %]\n", + "Total : 3.29682 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5837 616 386 154 149 \n", - "1 : 5850 623 397 129 143 \n", - "2 : 5791 657 387 152 155 \n", - "3 : 5848 611 378 133 172 \n", - "4 : 5773 653 411 147 158 \n", - "5 : 5872 638 357 124 151 \n", - "6 : 5883 619 341 133 166 \n", - "7 : 5819 663 371 148 141 \n", - "8 : 5859 657 340 150 136 \n", - "9 : 5795 657 374 161 155 \n", - "10 : 5812 636 385 145 164 \n", - "11 : 5810 636 385 150 161 \n", - "12 : 5800 673 395 137 137 \n", - "13 : 5826 667 385 132 144 \n", + "0 : 5862 655 387 113 125 \n", + "1 : 5846 725 358 107 106 \n", + "2 : 5853 669 349 125 146 \n", + "3 : 5853 660 376 133 120 \n", + "4 : 5849 702 347 118 126 \n", + "5 : 5896 665 352 107 122 \n", + "6 : 5890 675 362 118 97 \n", + "7 : 5850 690 346 119 137 \n", + "8 : 5846 676 392 123 105 \n", + "9 : 5851 642 377 148 124 \n", + "10 : 5836 704 371 106 125 \n", + "11 : 5822 692 375 125 128 \n", + "12 : 5876 685 361 114 106 \n", + "13 : 5875 694 369 110 106 \n", "\n", - "T : 81575 9006 5292 1995 2132 [100000]\n", + "T : 82005 9534 5122 1666 1673 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0063e-02 sec\n", - "--- Collate = 6.5793e-05 sec\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 6.9441e-02 sec\n", + "--- Collate = 7.0374e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.882984e-06 < 6.250000e-03 [1275]\n", - "--- Max DT=1.512689e+00 > 1.000000e-01 [69705]\n", + "--- Min DT=1.214286e-07 < 6.250000e-03 [1013]\n", + "--- Max DT=1.814099e+00 > 1.000000e-01 [68806]\n", "----------------------------------------------------------------------\n", - " Component | low: 1275/100000\n", - " Component | high: 69705/100000\n", + " Component | low: 1013/100000\n", + " Component | high: 68806/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=73] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000578625 [ 0.38 %]\n", - "Velocity : 0.00212669 [ 1.39 %]\n", - "Force : 0.0568314 [ 37.11 %]\n", - "Coefs : 0.023202 [ 15.15 %]\n", - "Output : 0.00513436 [ 3.35 %]\n", - "Levels : 0.00019361 [ 0.13 %]\n", - "Report : 1.478e-06 [ 0.00 %]\n", - "Balance : 5.59e-07 [ 0.00 %]\n", - "Adjust : 0.0650103 [ 42.46 %]\n", - "Total : 0.153123 [100.00 %]\n", + "Drift : 0.000467299 [ 0.01 %]\n", + "Velocity : 0.00242862 [ 0.07 %]\n", + "Force : 0.610687 [ 17.59 %]\n", + "Coefs : 2.09744 [ 60.43 %]\n", + "Output : 0.0070128 [ 0.20 %]\n", + "Levels : 0.000477036 [ 0.01 %]\n", + "Report : 8.55e-07 [ 0.00 %]\n", + "Balance : 4.79e-07 [ 0.00 %]\n", + "Adjust : 0.75226 [ 21.67 %]\n", + "Total : 3.47082 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5832 633 373 160 144 \n", - "1 : 5847 626 395 124 150 \n", - "2 : 5797 646 393 148 158 \n", - "3 : 5840 617 378 147 160 \n", - "4 : 5764 658 411 140 169 \n", - "5 : 5875 629 367 114 157 \n", - "6 : 5881 616 346 142 157 \n", - "7 : 5816 660 381 147 138 \n", - "8 : 5856 660 345 144 137 \n", - "9 : 5801 650 369 165 157 \n", - "10 : 5810 647 376 150 159 \n", - "11 : 5805 640 387 146 164 \n", - "12 : 5794 677 390 141 140 \n", - "13 : 5826 670 380 132 146 \n", + "0 : 5866 655 384 104 133 \n", + "1 : 5850 725 348 110 109 \n", + "2 : 5852 669 355 120 146 \n", + "3 : 5859 657 373 128 125 \n", + "4 : 5846 698 351 123 124 \n", + "5 : 5887 675 336 123 121 \n", + "6 : 5888 675 356 121 102 \n", + "7 : 5857 686 356 106 137 \n", + "8 : 5846 678 397 119 102 \n", + "9 : 5848 642 368 156 128 \n", + "10 : 5835 714 365 100 128 \n", + "11 : 5828 690 363 129 132 \n", + "12 : 5881 681 359 114 107 \n", + "13 : 5871 690 372 113 108 \n", "\n", - "T : 81544 9029 5291 2000 2136 [100000]\n", + "T : 82014 9535 5083 1666 1702 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.4%\n", - "--- Adj/Tot = 2.4%\n", - "--- Update = 1.0051e-02 sec\n", - "--- Collate = 6.7236e-05 sec\n", + "--- Coef/DT = 21.4%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 5.8212e-02 sec\n", + "--- Collate = 7.0235e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.932542e-06 < 6.250000e-03 [1261]\n", - "--- Max DT=1.519091e+00 > 1.000000e-01 [69726]\n", + "--- Min DT=4.479153e-07 < 6.250000e-03 [1013]\n", + "--- Max DT=1.820706e+00 > 1.000000e-01 [68796]\n", "----------------------------------------------------------------------\n", - " Component | low: 1261/100000\n", - " Component | high: 69726/100000\n", + " Component | low: 1013/100000\n", + " Component | high: 68796/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=73.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000602809 [ 0.41 %]\n", - "Velocity : 0.00206466 [ 1.42 %]\n", - "Force : 0.0550327 [ 37.78 %]\n", - "Coefs : 0.022843 [ 15.68 %]\n", - "Output : 0.0007284 [ 0.50 %]\n", - "Levels : 0.000202281 [ 0.14 %]\n", - "Report : 1.185e-06 [ 0.00 %]\n", - "Balance : 4.54e-07 [ 0.00 %]\n", - "Adjust : 0.0641471 [ 44.04 %]\n", - "Total : 0.145668 [100.00 %]\n", + "Drift : 0.000712177 [ 0.02 %]\n", + "Velocity : 0.0035609 [ 0.10 %]\n", + "Force : 0.584617 [ 15.86 %]\n", + "Coefs : 2.32192 [ 62.99 %]\n", + "Output : 0.00135463 [ 0.04 %]\n", + "Levels : 0.000269808 [ 0.01 %]\n", + "Report : 4.26e-07 [ 0.00 %]\n", + "Balance : 2.53e-07 [ 0.00 %]\n", + "Adjust : 0.773648 [ 20.99 %]\n", + "Total : 3.68613 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5839 624 366 167 146 \n", - "1 : 5852 621 397 126 146 \n", - "2 : 5788 651 396 157 150 \n", - "3 : 5837 618 381 140 166 \n", - "4 : 5767 661 400 148 166 \n", - "5 : 5868 639 363 112 160 \n", - "6 : 5884 608 342 147 161 \n", - "7 : 5823 657 383 134 145 \n", - "8 : 5857 656 356 141 132 \n", - "9 : 5796 652 377 156 161 \n", - "10 : 5809 646 370 155 162 \n", - "11 : 5807 633 402 130 170 \n", - "12 : 5792 670 401 136 143 \n", - "13 : 5822 670 382 135 145 \n", + "0 : 5864 662 372 114 130 \n", + "1 : 5845 734 343 120 100 \n", + "2 : 5854 667 352 120 149 \n", + "3 : 5858 658 374 127 125 \n", + "4 : 5841 705 347 126 123 \n", + "5 : 5893 670 335 118 126 \n", + "6 : 5890 677 346 124 105 \n", + "7 : 5861 683 355 102 141 \n", + "8 : 5846 676 400 123 97 \n", + "9 : 5847 637 379 143 136 \n", + "10 : 5830 723 359 108 122 \n", + "11 : 5831 694 355 128 134 \n", + "12 : 5874 683 359 120 106 \n", + "13 : 5875 694 354 120 111 \n", "\n", - "T : 81541 9006 5316 1984 2153 [100000]\n", + "T : 82009 9563 5030 1693 1705 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info in comp, mlevel=3--------------------------------------\n", + "----------------------------------------------------------------------\n", + " COM: 2.431440e-04\n", + " Position: 2.179943e+01\n", + " --------------------------------------------------\n", + " *** fix pos : 1.107123e+01 \n", + " --------------------------------------------------\n", + " Ang mom: 3.282836e+00\n", + " Zero: 1.207957e-01\n", + " Accel: 3.604930e+00\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " Interaction: 3.899460e-04\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " External: 7.460110e-04\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " Expand: 1.862698e+02\n", + " Force: 3.729433e+00\n", + " Elapsed: 3.002066e+02\n", + "----------------------------------------------------------------------\n", + "\n", + "mstep/Mstep=10/16\n", + "0 |90 1 |91 2 |181 3 |363 4 |724 \n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.4%\n", - "--- Adj/Tot = 2.3%\n", - "--- Update = 1.1199e-02 sec\n", - "--- Collate = 6.9734e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 4.7120e-02 sec\n", + "--- Collate = 1.2021e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.877238e-06 < 6.250000e-03 [1292]\n", - "--- Max DT=1.525496e+00 > 1.000000e-01 [69749]\n", + "--- Min DT=4.046058e-06 < 6.250000e-03 [999]\n", + "--- Max DT=1.827315e+00 > 1.000000e-01 [68807]\n", "----------------------------------------------------------------------\n", - " Component | low: 1292/100000\n", - " Component | high: 69749/100000\n", + " Component | low: 999/100000\n", + " Component | high: 68807/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=73.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000534281 [ 0.36 %]\n", - "Velocity : 0.0025237 [ 1.70 %]\n", - "Force : 0.0555445 [ 37.42 %]\n", - "Coefs : 0.0227487 [ 15.33 %]\n", - "Output : 0.000724444 [ 0.49 %]\n", - "Levels : 0.000250133 [ 0.17 %]\n", - "Report : 1.597e-06 [ 0.00 %]\n", - "Balance : 4.65e-07 [ 0.00 %]\n", - "Adjust : 0.0660406 [ 44.50 %]\n", - "Total : 0.148416 [100.00 %]\n", + "Drift : 0.000483345 [ 0.02 %]\n", + "Velocity : 0.00266017 [ 0.09 %]\n", + "Force : 0.546218 [ 18.42 %]\n", + "Coefs : 1.65878 [ 55.94 %]\n", + "Output : 0.00133897 [ 0.05 %]\n", + "Levels : 0.000264325 [ 0.01 %]\n", + "Report : 5.99e-07 [ 0.00 %]\n", + "Balance : 2.49e-07 [ 0.00 %]\n", + "Adjust : 0.755737 [ 25.48 %]\n", + "Total : 2.96553 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5834 629 373 150 156 \n", - "1 : 5851 627 396 108 160 \n", - "2 : 5794 651 389 155 153 \n", - "3 : 5835 625 371 154 157 \n", - "4 : 5765 671 389 154 163 \n", - "5 : 5869 629 367 113 164 \n", - "6 : 5887 598 356 147 154 \n", - "7 : 5818 659 377 141 147 \n", - "8 : 5864 643 364 140 131 \n", - "9 : 5799 656 365 166 156 \n", - "10 : 5805 655 364 158 160 \n", - "11 : 5794 643 406 137 162 \n", - "12 : 5788 684 386 129 155 \n", - "13 : 5824 671 379 127 153 \n", + "0 : 5861 664 377 107 133 \n", + "1 : 5853 725 343 119 102 \n", + "2 : 5854 665 356 116 151 \n", + "3 : 5855 665 369 131 122 \n", + "4 : 5834 712 346 122 128 \n", + "5 : 5892 674 334 115 127 \n", + "6 : 5886 685 346 119 106 \n", + "7 : 5863 677 357 105 140 \n", + "8 : 5854 676 391 122 99 \n", + "9 : 5848 638 381 130 145 \n", + "10 : 5826 726 358 108 124 \n", + "11 : 5827 701 343 135 136 \n", + "12 : 5876 682 357 116 111 \n", + "13 : 5873 698 341 124 118 \n", "\n", - "T : 81527 9041 5282 1979 2171 [100000]\n", + "T : 82002 9588 4999 1669 1742 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0007e-02 sec\n", - "--- Collate = 6.3847e-05 sec\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 1.1%\n", + "--- Update = 4.9477e-02 sec\n", + "--- Collate = 7.0420e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.130699e-06 < 6.250000e-03 [1304]\n", - "--- Max DT=1.531905e+00 > 1.000000e-01 [69735]\n", + "--- Min DT=9.341579e-07 < 6.250000e-03 [1003]\n", + "--- Max DT=1.833927e+00 > 1.000000e-01 [68820]\n", "----------------------------------------------------------------------\n", - " Component | low: 1304/100000\n", - " Component | high: 69735/100000\n", + " Component | low: 1003/100000\n", + " Component | high: 68820/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=73.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000692887 [ 0.48 %]\n", - "Velocity : 0.00206055 [ 1.44 %]\n", - "Force : 0.0540378 [ 37.79 %]\n", - "Coefs : 0.0227584 [ 15.92 %]\n", - "Output : 0.000709208 [ 0.50 %]\n", - "Levels : 0.000288439 [ 0.20 %]\n", - "Report : 1.34e-06 [ 0.00 %]\n", - "Balance : 7e-07 [ 0.00 %]\n", - "Adjust : 0.0624004 [ 43.64 %]\n", - "Total : 0.142993 [100.00 %]\n", + "Drift : 0.000481024 [ 0.01 %]\n", + "Velocity : 0.00218958 [ 0.05 %]\n", + "Force : 0.645346 [ 16.20 %]\n", + "Coefs : 2.51498 [ 63.12 %]\n", + "Output : 0.00136594 [ 0.03 %]\n", + "Levels : 0.000308361 [ 0.01 %]\n", + "Report : 8.02e-07 [ 0.00 %]\n", + "Balance : 3.71e-07 [ 0.00 %]\n", + "Adjust : 0.819837 [ 20.58 %]\n", + "Total : 3.98455 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5835 613 390 147 157 \n", - "1 : 5849 629 389 115 160 \n", - "2 : 5789 654 391 150 158 \n", - "3 : 5825 632 381 146 158 \n", - "4 : 5770 667 384 153 168 \n", - "5 : 5864 628 356 132 162 \n", - "6 : 5890 592 367 137 156 \n", - "7 : 5820 648 382 144 148 \n", - "8 : 5862 657 363 124 136 \n", - "9 : 5804 646 376 165 151 \n", - "10 : 5804 649 368 167 154 \n", - "11 : 5791 645 410 131 165 \n", - "12 : 5789 675 396 130 152 \n", - "13 : 5823 676 369 132 154 \n", + "0 : 5860 663 387 102 130 \n", + "1 : 5854 726 342 102 118 \n", + "2 : 5858 657 352 121 154 \n", + "3 : 5845 663 379 133 122 \n", + "4 : 5836 700 358 123 125 \n", + "5 : 5890 670 343 118 121 \n", + "6 : 5887 681 348 118 108 \n", + "7 : 5862 672 366 112 130 \n", + "8 : 5855 675 388 126 98 \n", + "9 : 5851 634 384 122 151 \n", + "10 : 5824 729 350 117 122 \n", + "11 : 5826 699 345 133 139 \n", + "12 : 5881 677 349 125 110 \n", + "13 : 5873 695 347 117 122 \n", "\n", - "T : 81515 9011 5322 1973 2179 [100000]\n", + "T : 82002 9541 5038 1669 1750 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", - "--- Adj/Tot = 2.3%\n", - "--- Update = 1.0098e-02 sec\n", - "--- Collate = 6.7332e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 5.9945e-02 sec\n", + "--- Collate = 2.0224e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.858935e-07 < 6.250000e-03 [1316]\n", - "--- Max DT=1.538318e+00 > 1.000000e-01 [69752]\n", + "--- Min DT=8.408559e-07 < 6.250000e-03 [1012]\n", + "--- Max DT=1.840543e+00 > 1.000000e-01 [68843]\n", "----------------------------------------------------------------------\n", - " Component | low: 1316/100000\n", - " Component | high: 69752/100000\n", + " Component | low: 1012/100000\n", + " Component | high: 68843/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=73.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000453424 [ 0.31 %]\n", - "Velocity : 0.00284386 [ 1.97 %]\n", - "Force : 0.0557031 [ 38.60 %]\n", - "Coefs : 0.0214585 [ 14.87 %]\n", - "Output : 0.000771727 [ 0.53 %]\n", - "Levels : 0.000170794 [ 0.12 %]\n", - "Report : 1.21e-06 [ 0.00 %]\n", - "Balance : 3.86e-07 [ 0.00 %]\n", - "Adjust : 0.0628657 [ 43.56 %]\n", - "Total : 0.144313 [100.00 %]\n", + "Drift : 0.00051894 [ 0.02 %]\n", + "Velocity : 0.00277817 [ 0.08 %]\n", + "Force : 0.551329 [ 16.35 %]\n", + "Coefs : 2.08993 [ 61.99 %]\n", + "Output : 0.00151725 [ 0.05 %]\n", + "Levels : 0.000303997 [ 0.01 %]\n", + "Report : 7.82e-07 [ 0.00 %]\n", + "Balance : 3.19e-07 [ 0.00 %]\n", + "Adjust : 0.725047 [ 21.51 %]\n", + "Total : 3.37148 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5830 622 386 142 162 \n", - "1 : 5845 639 377 118 163 \n", - "2 : 5790 652 392 146 162 \n", - "3 : 5821 639 384 147 151 \n", - "4 : 5761 671 390 156 164 \n", - "5 : 5861 624 369 134 154 \n", - "6 : 5891 592 362 144 153 \n", - "7 : 5820 650 380 136 156 \n", - "8 : 5864 645 366 130 137 \n", - "9 : 5810 637 376 170 149 \n", - "10 : 5804 645 372 164 157 \n", - "11 : 5787 657 393 142 163 \n", - "12 : 5786 672 396 137 151 \n", - "13 : 5825 677 356 146 150 \n", + "0 : 5859 661 389 91 142 \n", + "1 : 5862 716 340 107 117 \n", + "2 : 5853 668 348 113 160 \n", + "3 : 5846 653 382 140 121 \n", + "4 : 5837 702 364 120 119 \n", + "5 : 5889 674 338 130 111 \n", + "6 : 5882 689 340 116 115 \n", + "7 : 5863 667 372 110 130 \n", + "8 : 5853 675 392 112 110 \n", + "9 : 5848 632 391 119 152 \n", + "10 : 5822 732 352 129 107 \n", + "11 : 5835 692 348 127 140 \n", + "12 : 5878 674 354 128 108 \n", + "13 : 5870 699 344 119 122 \n", "\n", - "T : 81495 9022 5299 2012 2172 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81997 9534 5054 1661 1754 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.3%\n", - "--- Adj/Tot = 2.3%\n", - "--- Update = 1.0002e-02 sec\n", - "--- Collate = 6.9788e-05 sec\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 5.2466e-02 sec\n", + "--- Collate = 4.8771e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.228679e-05 < 6.250000e-03 [1292]\n", - "--- Max DT=1.544734e+00 > 1.000000e-01 [69784]\n", + "--- Min DT=2.413465e-06 < 6.250000e-03 [1034]\n", + "--- Max DT=1.847162e+00 > 1.000000e-01 [68845]\n", "----------------------------------------------------------------------\n", - " Component | low: 1292/100000\n", - " Component | high: 69784/100000\n", + " Component | low: 1034/100000\n", + " Component | high: 68845/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=73.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000564206 [ 0.39 %]\n", - "Velocity : 0.00175314 [ 1.21 %]\n", - "Force : 0.0549921 [ 38.07 %]\n", - "Coefs : 0.0232366 [ 16.08 %]\n", - "Output : 0.000607524 [ 0.42 %]\n", - "Levels : 0.000188015 [ 0.13 %]\n", - "Report : 1.285e-06 [ 0.00 %]\n", - "Balance : 3.89e-07 [ 0.00 %]\n", - "Adjust : 0.0630832 [ 43.67 %]\n", - "Total : 0.144464 [100.00 %]\n", + "Drift : 0.000798046 [ 0.02 %]\n", + "Velocity : 0.00385467 [ 0.10 %]\n", + "Force : 0.638554 [ 16.90 %]\n", + "Coefs : 2.36339 [ 62.53 %]\n", + "Output : 0.00152426 [ 0.04 %]\n", + "Levels : 0.000290866 [ 0.01 %]\n", + "Report : 5.77e-07 [ 0.00 %]\n", + "Balance : 2.38e-07 [ 0.00 %]\n", + "Adjust : 0.771002 [ 20.40 %]\n", + "Total : 3.77947 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5824 631 380 153 154 \n", - "1 : 5851 632 380 113 166 \n", - "2 : 5787 659 383 143 170 \n", - "3 : 5818 648 388 138 150 \n", - "4 : 5760 673 390 154 165 \n", - "5 : 5862 620 370 135 155 \n", - "6 : 5888 597 360 152 145 \n", - "7 : 5821 652 372 139 158 \n", - "8 : 5859 655 367 129 132 \n", - "9 : 5803 638 379 161 161 \n", - "10 : 5801 640 384 150 167 \n", - "11 : 5781 662 394 140 165 \n", - "12 : 5780 673 395 147 147 \n", - "13 : 5827 669 363 140 155 \n", + "0 : 5859 659 383 103 138 \n", + "1 : 5864 712 343 112 111 \n", + "2 : 5847 675 345 126 149 \n", + "3 : 5850 648 386 133 125 \n", + "4 : 5836 707 357 122 120 \n", + "5 : 5893 668 352 120 109 \n", + "6 : 5883 682 345 112 120 \n", + "7 : 5861 676 362 122 121 \n", + "8 : 5855 684 381 108 114 \n", + "9 : 5852 632 375 132 151 \n", + "10 : 5825 731 346 126 114 \n", + "11 : 5838 688 350 122 144 \n", + "12 : 5879 678 343 127 115 \n", + "13 : 5877 694 337 120 126 \n", "\n", - "T : 81462 9049 5305 1994 2190 [100000]\n", + "T : 82019 9534 5005 1685 1757 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.0363e-02 sec\n", - "--- Collate = 6.1367e-05 sec\n", + "--- Coef/DT = 30.0%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 9.4598e-02 sec\n", + "--- Collate = 2.3015e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.222929e-06 < 6.250000e-03 [1305]\n", - "--- Max DT=1.551154e+00 > 1.000000e-01 [69767]\n", + "--- Min DT=2.066671e-06 < 6.250000e-03 [1045]\n", + "--- Max DT=1.853783e+00 > 1.000000e-01 [68859]\n", "----------------------------------------------------------------------\n", - " Component | low: 1305/100000\n", - " Component | high: 69767/100000\n", + " Component | low: 1045/100000\n", + " Component | high: 68859/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=73.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000528279 [ 0.36 %]\n", - "Velocity : 0.00271929 [ 1.87 %]\n", - "Force : 0.0549095 [ 37.69 %]\n", - "Coefs : 0.021982 [ 15.09 %]\n", - "Output : 0.000752168 [ 0.52 %]\n", - "Levels : 0.000203271 [ 0.14 %]\n", - "Report : 1.202e-06 [ 0.00 %]\n", - "Balance : 4.44e-07 [ 0.00 %]\n", - "Adjust : 0.0645622 [ 44.31 %]\n", - "Total : 0.145706 [100.00 %]\n", + "Drift : 0.000915228 [ 0.02 %]\n", + "Velocity : 0.00245573 [ 0.06 %]\n", + "Force : 0.636259 [ 15.78 %]\n", + "Coefs : 2.49787 [ 61.95 %]\n", + "Output : 0.00128383 [ 0.03 %]\n", + "Levels : 0.00029425 [ 0.01 %]\n", + "Report : 1.213e-06 [ 0.00 %]\n", + "Balance : 3.76e-07 [ 0.00 %]\n", + "Adjust : 0.893058 [ 22.15 %]\n", + "Total : 4.03219 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5825 635 368 161 153 \n", - "1 : 5847 636 376 115 168 \n", - "2 : 5787 659 384 139 173 \n", - "3 : 5822 649 387 137 147 \n", - "4 : 5755 673 399 154 161 \n", - "5 : 5863 616 370 139 154 \n", - "6 : 5882 595 372 150 143 \n", - "7 : 5820 654 371 141 156 \n", - "8 : 5860 662 356 121 143 \n", - "9 : 5800 649 368 162 163 \n", - "10 : 5792 656 378 148 168 \n", - "11 : 5783 670 386 131 172 \n", - "12 : 5783 669 385 160 145 \n", - "13 : 5836 664 348 154 152 \n", + "0 : 5856 667 378 105 136 \n", + "1 : 5863 715 334 113 117 \n", + "2 : 5849 673 345 124 151 \n", + "3 : 5849 647 399 119 128 \n", + "4 : 5840 702 349 126 125 \n", + "5 : 5888 672 352 119 111 \n", + "6 : 5876 688 345 113 120 \n", + "7 : 5860 679 365 116 122 \n", + "8 : 5861 676 380 110 115 \n", + "9 : 5853 638 378 125 148 \n", + "10 : 5824 721 349 142 106 \n", + "11 : 5837 686 359 118 142 \n", + "12 : 5882 678 345 118 119 \n", + "13 : 5880 691 330 124 129 \n", "\n", - "T : 81455 9087 5248 2012 2198 [100000]\n", + "T : 82018 9533 5008 1672 1769 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 9.9060e-03 sec\n", - "--- Collate = 8.3767e-05 sec\n", + "--- Coef/DT = 20.4%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 9.6584e-02 sec\n", + "--- Collate = 9.0172e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.878809e-06 < 6.250000e-03 [1301]\n", - "--- Max DT=1.557577e+00 > 1.000000e-01 [69790]\n", + "--- Min DT=3.155343e-08 < 6.250000e-03 [1085]\n", + "--- Max DT=1.860408e+00 > 1.000000e-01 [68855]\n", "----------------------------------------------------------------------\n", - " Component | low: 1301/100000\n", - " Component | high: 69790/100000\n", + " Component | low: 1085/100000\n", + " Component | high: 68855/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=73.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000578124 [ 0.40 %]\n", - "Velocity : 0.00212601 [ 1.47 %]\n", - "Force : 0.0549771 [ 38.12 %]\n", - "Coefs : 0.0223023 [ 15.46 %]\n", - "Output : 0.000802252 [ 0.56 %]\n", - "Levels : 0.000247248 [ 0.17 %]\n", - "Report : 1.066e-06 [ 0.00 %]\n", - "Balance : 3.94e-07 [ 0.00 %]\n", - "Adjust : 0.0631667 [ 43.79 %]\n", - "Total : 0.144239 [100.00 %]\n", + "Drift : 0.00051418 [ 0.01 %]\n", + "Velocity : 0.00211149 [ 0.06 %]\n", + "Force : 0.581596 [ 16.23 %]\n", + "Coefs : 2.25251 [ 62.87 %]\n", + "Output : 0.00137731 [ 0.04 %]\n", + "Levels : 0.000283374 [ 0.01 %]\n", + "Report : 6.98e-07 [ 0.00 %]\n", + "Balance : 4.9e-07 [ 0.00 %]\n", + "Adjust : 0.744292 [ 20.77 %]\n", + "Total : 3.58274 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5822 633 378 151 158 \n", - "1 : 5846 635 379 116 166 \n", - "2 : 5781 664 384 149 164 \n", - "3 : 5818 646 406 119 153 \n", - "4 : 5755 663 412 145 167 \n", - "5 : 5854 622 376 147 143 \n", - "6 : 5878 596 375 137 156 \n", - "7 : 5815 667 362 133 165 \n", - "8 : 5854 663 359 123 143 \n", - "9 : 5796 658 366 157 165 \n", - "10 : 5790 657 370 149 176 \n", - "11 : 5782 664 388 141 167 \n", - "12 : 5781 662 386 168 145 \n", - "13 : 5838 666 342 159 149 \n", + "0 : 5854 671 380 101 136 \n", + "1 : 5859 720 332 108 123 \n", + "2 : 5840 672 350 128 152 \n", + "3 : 5845 655 404 107 131 \n", + "4 : 5841 696 356 122 127 \n", + "5 : 5884 680 345 126 107 \n", + "6 : 5874 694 345 103 126 \n", + "7 : 5853 685 366 112 126 \n", + "8 : 5865 669 380 115 113 \n", + "9 : 5850 643 371 119 159 \n", + "10 : 5824 710 353 143 112 \n", + "11 : 5836 689 358 118 141 \n", + "12 : 5887 675 347 115 118 \n", + "13 : 5882 691 326 128 127 \n", "\n", - "T : 81410 9096 5283 1994 2217 [100000]\n", + "T : 81994 9550 5013 1645 1798 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", - "--- Adj/Tot = 2.3%\n", - "--- Update = 1.0483e-02 sec\n", - "--- Collate = 6.4939e-05 sec\n", + "--- Coef/DT = 29.7%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 4.1597e-02 sec\n", + "--- Collate = 7.0313e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.249990e-06 < 6.250000e-03 [1317]\n", - "--- Max DT=1.564004e+00 > 1.000000e-01 [69809]\n", + "--- Min DT=3.356296e-06 < 6.250000e-03 [1111]\n", + "--- Max DT=1.867036e+00 > 1.000000e-01 [68878]\n", "----------------------------------------------------------------------\n", - " Component | low: 1317/100000\n", - " Component | high: 69809/100000\n", + " Component | low: 1111/100000\n", + " Component | high: 68878/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=73.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000565872 [ 0.39 %]\n", - "Velocity : 0.00216624 [ 1.48 %]\n", - "Force : 0.0572712 [ 39.02 %]\n", - "Coefs : 0.0220771 [ 15.04 %]\n", - "Output : 0.00100595 [ 0.69 %]\n", - "Levels : 0.000229167 [ 0.16 %]\n", - "Report : 1.212e-06 [ 0.00 %]\n", - "Balance : 5.57e-07 [ 0.00 %]\n", - "Adjust : 0.0634118 [ 43.20 %]\n", - "Total : 0.146774 [100.00 %]\n", + "Drift : 0.000837484 [ 0.02 %]\n", + "Velocity : 0.00271878 [ 0.07 %]\n", + "Force : 0.671396 [ 17.59 %]\n", + "Coefs : 2.35125 [ 61.61 %]\n", + "Output : 0.00133008 [ 0.03 %]\n", + "Levels : 0.000303632 [ 0.01 %]\n", + "Report : 7.4e-07 [ 0.00 %]\n", + "Balance : 3.39e-07 [ 0.00 %]\n", + "Adjust : 0.788696 [ 20.66 %]\n", + "Total : 3.81659 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5826 628 368 163 157 \n", - "1 : 5843 632 380 126 161 \n", - "2 : 5785 663 381 144 169 \n", - "3 : 5817 645 405 126 149 \n", - "4 : 5756 663 422 136 165 \n", - "5 : 5851 616 387 153 135 \n", - "6 : 5879 590 388 134 151 \n", - "7 : 5819 665 357 137 164 \n", - "8 : 5854 655 370 129 134 \n", - "9 : 5797 650 364 165 166 \n", - "10 : 5790 664 371 147 170 \n", - "11 : 5778 671 384 144 165 \n", - "12 : 5779 652 397 165 149 \n", - "13 : 5833 670 348 154 149 \n", + "0 : 5855 670 377 113 127 \n", + "1 : 5859 709 338 107 129 \n", + "2 : 5841 663 354 140 144 \n", + "3 : 5846 654 402 106 134 \n", + "4 : 5845 694 357 121 125 \n", + "5 : 5888 675 342 131 106 \n", + "6 : 5873 693 342 103 131 \n", + "7 : 5851 692 370 103 126 \n", + "8 : 5864 665 381 121 111 \n", + "9 : 5843 658 362 115 164 \n", + "10 : 5823 710 355 136 118 \n", + "11 : 5838 688 352 121 143 \n", + "12 : 5892 669 345 117 119 \n", + "13 : 5883 689 323 132 127 \n", "\n", - "T : 81407 9064 5322 2023 2184 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 82001 9529 5000 1666 1804 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.0556e-02 sec\n", - "--- Collate = 6.6024e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 5.1598e-02 sec\n", + "--- Collate = 6.0128e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.919197e-07 < 6.250000e-03 [1293]\n", - "--- Max DT=1.570434e+00 > 1.000000e-01 [69820]\n", + "--- Min DT=1.343122e-06 < 6.250000e-03 [1102]\n", + "--- Max DT=1.873666e+00 > 1.000000e-01 [68888]\n", "----------------------------------------------------------------------\n", - " Component | low: 1293/100000\n", - " Component | high: 69820/100000\n", + " Component | low: 1102/100000\n", + " Component | high: 68888/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=73.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000916388 [ 0.61 %]\n", - "Velocity : 0.00272457 [ 1.81 %]\n", - "Force : 0.0578559 [ 38.34 %]\n", - "Coefs : 0.0229979 [ 15.24 %]\n", - "Output : 0.00090021 [ 0.60 %]\n", - "Levels : 0.000210447 [ 0.14 %]\n", - "Report : 1.215e-06 [ 0.00 %]\n", - "Balance : 3.77e-07 [ 0.00 %]\n", - "Adjust : 0.0652493 [ 43.24 %]\n", - "Total : 0.150898 [100.00 %]\n", + "Drift : 0.000764119 [ 0.02 %]\n", + "Velocity : 0.00236486 [ 0.07 %]\n", + "Force : 0.570855 [ 16.56 %]\n", + "Coefs : 2.13141 [ 61.84 %]\n", + "Output : 0.00117868 [ 0.03 %]\n", + "Levels : 0.000238067 [ 0.01 %]\n", + "Report : 5.62e-07 [ 0.00 %]\n", + "Balance : 2.57e-07 [ 0.00 %]\n", + "Adjust : 0.739525 [ 21.46 %]\n", + "Total : 3.44638 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5829 624 366 168 155 \n", - "1 : 5846 630 376 131 159 \n", - "2 : 5781 668 383 140 170 \n", - "3 : 5814 640 409 127 152 \n", - "4 : 5752 667 411 149 163 \n", - "5 : 5843 628 386 143 142 \n", - "6 : 5879 598 383 125 157 \n", - "7 : 5811 660 373 134 164 \n", - "8 : 5849 663 365 123 142 \n", - "9 : 5793 655 369 165 160 \n", - "10 : 5789 658 366 156 173 \n", - "11 : 5782 660 400 141 159 \n", - "12 : 5780 643 401 170 148 \n", - "13 : 5826 675 348 143 162 \n", + "0 : 5855 672 365 117 133 \n", + "1 : 5859 706 341 105 131 \n", + "2 : 5841 661 355 131 154 \n", + "3 : 5846 657 394 119 126 \n", + "4 : 5850 683 360 127 122 \n", + "5 : 5886 674 345 125 112 \n", + "6 : 5878 690 341 106 127 \n", + "7 : 5854 699 368 100 121 \n", + "8 : 5858 677 374 111 122 \n", + "9 : 5838 663 360 118 163 \n", + "10 : 5816 716 358 128 124 \n", + "11 : 5840 680 362 124 136 \n", + "12 : 5894 661 348 116 123 \n", + "13 : 5879 688 323 131 133 \n", "\n", - "T : 81374 9069 5336 2015 2206 [100000]\n", + "T : 81994 9527 4994 1658 1827 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.3%\n", - "--- Adj/Tot = 2.3%\n", - "--- Update = 1.0504e-02 sec\n", - "--- Collate = 6.0685e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 3.3381e-02 sec\n", + "--- Collate = 1.1069e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.516143e-06 < 6.250000e-03 [1304]\n", - "--- Max DT=1.576868e+00 > 1.000000e-01 [69818]\n", + "--- Min DT=5.519129e-06 < 6.250000e-03 [1096]\n", + "--- Max DT=1.880300e+00 > 1.000000e-01 [68894]\n", "----------------------------------------------------------------------\n", - " Component | low: 1304/100000\n", - " Component | high: 69818/100000\n", + " Component | low: 1096/100000\n", + " Component | high: 68894/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=74] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00061372 [ 0.40 %]\n", - "Velocity : 0.00254012 [ 1.64 %]\n", - "Force : 0.0579134 [ 37.40 %]\n", - "Coefs : 0.0229043 [ 14.79 %]\n", - "Output : 0.00576105 [ 3.72 %]\n", - "Levels : 0.000225209 [ 0.15 %]\n", - "Report : 1.272e-06 [ 0.00 %]\n", - "Balance : 6.39e-07 [ 0.00 %]\n", - "Adjust : 0.0648624 [ 41.88 %]\n", - "Total : 0.154866 [100.00 %]\n", + "Drift : 0.000482199 [ 0.01 %]\n", + "Velocity : 0.0023488 [ 0.07 %]\n", + "Force : 0.665848 [ 19.38 %]\n", + "Coefs : 2.00518 [ 58.36 %]\n", + "Output : 0.00571067 [ 0.17 %]\n", + "Levels : 0.000648516 [ 0.02 %]\n", + "Report : 8.97e-07 [ 0.00 %]\n", + "Balance : 5.43e-07 [ 0.00 %]\n", + "Adjust : 0.755583 [ 21.99 %]\n", + "Total : 3.43584 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5825 625 368 161 163 \n", - "1 : 5843 641 366 142 150 \n", - "2 : 5785 671 366 148 172 \n", - "3 : 5810 650 403 125 154 \n", - "4 : 5755 668 403 157 159 \n", - "5 : 5843 637 366 156 140 \n", - "6 : 5879 604 377 123 159 \n", - "7 : 5812 651 376 144 159 \n", - "8 : 5842 678 358 123 141 \n", - "9 : 5798 659 352 172 161 \n", - "10 : 5778 666 370 159 169 \n", - "11 : 5782 656 407 137 160 \n", - "12 : 5784 649 393 164 152 \n", - "13 : 5831 668 348 152 155 \n", + "0 : 5855 666 362 129 130 \n", + "1 : 5859 703 345 110 125 \n", + "2 : 5841 655 354 142 150 \n", + "3 : 5850 657 377 124 134 \n", + "4 : 5846 684 362 136 114 \n", + "5 : 5884 679 346 116 117 \n", + "6 : 5876 689 342 105 130 \n", + "7 : 5850 700 372 106 114 \n", + "8 : 5860 677 376 107 122 \n", + "9 : 5846 654 354 130 158 \n", + "10 : 5816 718 353 126 129 \n", + "11 : 5840 679 356 133 134 \n", + "12 : 5893 656 358 100 135 \n", + "13 : 5881 683 331 119 140 \n", "\n", - "T : 81367 9123 5253 2063 2194 [100000]\n", + "T : 81997 9500 4988 1683 1832 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.0192e-02 sec\n", - "--- Collate = 6.8879e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 5.7413e-02 sec\n", + "--- Collate = 6.0460e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.091083e-06 < 6.250000e-03 [1283]\n", - "--- Max DT=1.583305e+00 > 1.000000e-01 [69831]\n", + "--- Min DT=1.660921e-06 < 6.250000e-03 [1095]\n", + "--- Max DT=1.886937e+00 > 1.000000e-01 [68899]\n", "----------------------------------------------------------------------\n", - " Component | low: 1283/100000\n", - " Component | high: 69831/100000\n", + " Component | low: 1095/100000\n", + " Component | high: 68899/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=74.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000732633 [ 0.49 %]\n", - "Velocity : 0.00221177 [ 1.47 %]\n", - "Force : 0.0584131 [ 38.83 %]\n", - "Coefs : 0.0232561 [ 15.46 %]\n", - "Output : 0.000900296 [ 0.60 %]\n", - "Levels : 0.000231541 [ 0.15 %]\n", - "Report : 1.167e-06 [ 0.00 %]\n", - "Balance : 2.77e-07 [ 0.00 %]\n", - "Adjust : 0.0646197 [ 42.96 %]\n", - "Total : 0.150422 [100.00 %]\n", + "Drift : 0.000866119 [ 0.03 %]\n", + "Velocity : 0.00322017 [ 0.11 %]\n", + "Force : 0.533107 [ 17.66 %]\n", + "Coefs : 1.85584 [ 61.49 %]\n", + "Output : 0.00148055 [ 0.05 %]\n", + "Levels : 0.000335716 [ 0.01 %]\n", + "Report : 4.63e-07 [ 0.00 %]\n", + "Balance : 5.21e-07 [ 0.00 %]\n", + "Adjust : 0.623289 [ 20.65 %]\n", + "Total : 3.01819 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5824 625 367 166 160 \n", - "1 : 5846 638 361 145 152 \n", - "2 : 5789 668 372 145 168 \n", - "3 : 5808 648 408 138 140 \n", - "4 : 5756 661 399 163 163 \n", - "5 : 5842 630 367 161 142 \n", - "6 : 5879 607 365 138 153 \n", - "7 : 5807 659 380 137 159 \n", - "8 : 5838 685 354 126 139 \n", - "9 : 5796 650 376 154 166 \n", - "10 : 5774 667 378 152 171 \n", - "11 : 5780 656 410 151 145 \n", - "12 : 5786 645 393 158 160 \n", - "13 : 5830 659 362 157 146 \n", + "0 : 5859 665 363 118 137 \n", + "1 : 5857 705 340 113 127 \n", + "2 : 5832 663 367 141 139 \n", + "3 : 5848 661 375 123 135 \n", + "4 : 5840 694 365 131 112 \n", + "5 : 5889 676 341 112 124 \n", + "6 : 5880 684 350 98 130 \n", + "7 : 5849 707 367 103 116 \n", + "8 : 5858 673 379 108 124 \n", + "9 : 5848 660 350 131 153 \n", + "10 : 5827 712 346 130 127 \n", + "11 : 5833 686 358 133 132 \n", + "12 : 5897 650 358 104 133 \n", + "13 : 5888 673 343 106 144 \n", "\n", - "T : 81355 9098 5292 2091 2164 [100000]\n", + "T : 82005 9509 5002 1651 1833 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.0289e-02 sec\n", - "--- Collate = 6.5888e-05 sec\n", + "--- Coef/DT = 30.0%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 5.4329e-02 sec\n", + "--- Collate = 5.2000e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.228243e-06 < 6.250000e-03 [1287]\n", - "--- Max DT=1.589746e+00 > 1.000000e-01 [69831]\n", + "--- Min DT=4.895622e-06 < 6.250000e-03 [1077]\n", + "--- Max DT=1.893577e+00 > 1.000000e-01 [68908]\n", "----------------------------------------------------------------------\n", - " Component | low: 1287/100000\n", - " Component | high: 69831/100000\n", + " Component | low: 1077/100000\n", + " Component | high: 68908/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=74.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000658366 [ 0.44 %]\n", - "Velocity : 0.00238722 [ 1.60 %]\n", - "Force : 0.0580299 [ 38.83 %]\n", - "Coefs : 0.0229265 [ 15.34 %]\n", - "Output : 0.00103944 [ 0.70 %]\n", - "Levels : 0.000194405 [ 0.13 %]\n", - "Report : 1.202e-06 [ 0.00 %]\n", - "Balance : 3.7e-07 [ 0.00 %]\n", - "Adjust : 0.0641457 [ 42.93 %]\n", - "Total : 0.149429 [100.00 %]\n", + "Drift : 0.000752099 [ 0.02 %]\n", + "Velocity : 0.00290946 [ 0.09 %]\n", + "Force : 0.522668 [ 16.91 %]\n", + "Coefs : 1.97033 [ 63.76 %]\n", + "Output : 0.00145016 [ 0.05 %]\n", + "Levels : 0.000294114 [ 0.01 %]\n", + "Report : 4.92e-07 [ 0.00 %]\n", + "Balance : 4.34e-07 [ 0.00 %]\n", + "Adjust : 0.591812 [ 19.15 %]\n", + "Total : 3.09026 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5824 630 360 159 169 \n", - "1 : 5843 637 366 140 156 \n", - "2 : 5792 672 363 143 172 \n", - "3 : 5810 642 418 138 134 \n", - "4 : 5757 661 397 153 174 \n", - "5 : 5843 634 365 150 150 \n", - "6 : 5872 622 359 134 155 \n", - "7 : 5810 658 373 145 156 \n", - "8 : 5831 690 346 129 146 \n", - "9 : 5799 645 384 154 160 \n", - "10 : 5772 671 380 150 169 \n", - "11 : 5778 657 407 156 144 \n", - "12 : 5788 642 386 162 164 \n", - "13 : 5832 659 363 164 136 \n", + "0 : 5860 663 362 113 144 \n", + "1 : 5853 706 338 116 129 \n", + "2 : 5829 672 361 143 137 \n", + "3 : 5850 656 365 139 132 \n", + "4 : 5846 688 361 132 115 \n", + "5 : 5880 679 346 112 125 \n", + "6 : 5884 679 349 102 128 \n", + "7 : 5849 700 373 110 110 \n", + "8 : 5858 676 377 109 122 \n", + "9 : 5853 644 361 136 148 \n", + "10 : 5831 708 338 135 130 \n", + "11 : 5835 685 356 134 132 \n", + "12 : 5902 643 355 108 134 \n", + "13 : 5877 686 340 108 143 \n", "\n", - "T : 81351 9120 5267 2077 2185 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 82007 9485 4982 1697 1829 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0140e-02 sec\n", - "--- Collate = 6.0134e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.8684e-02 sec\n", + "--- Collate = 5.3962e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.083152e-07 < 6.250000e-03 [1274]\n", - "--- Max DT=1.596190e+00 > 1.000000e-01 [69832]\n", + "--- Min DT=2.657549e-06 < 6.250000e-03 [1036]\n", + "--- Max DT=1.900219e+00 > 1.000000e-01 [68929]\n", "----------------------------------------------------------------------\n", - " Component | low: 1274/100000\n", - " Component | high: 69832/100000\n", + " Component | low: 1036/100000\n", + " Component | high: 68929/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=74.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000632603 [ 0.42 %]\n", - "Velocity : 0.00212847 [ 1.43 %]\n", - "Force : 0.0576593 [ 38.63 %]\n", - "Coefs : 0.0232791 [ 15.60 %]\n", - "Output : 0.000870728 [ 0.58 %]\n", - "Levels : 0.00020548 [ 0.14 %]\n", - "Report : 1.125e-06 [ 0.00 %]\n", - "Balance : 2.8e-07 [ 0.00 %]\n", - "Adjust : 0.0644452 [ 43.18 %]\n", - "Total : 0.149262 [100.00 %]\n", + "Drift : 0.000787124 [ 0.02 %]\n", + "Velocity : 0.00247522 [ 0.07 %]\n", + "Force : 0.54548 [ 15.28 %]\n", + "Coefs : 2.24883 [ 62.99 %]\n", + "Output : 0.00119804 [ 0.03 %]\n", + "Levels : 0.000544805 [ 0.02 %]\n", + "Report : 9.25e-07 [ 0.00 %]\n", + "Balance : 3.56e-07 [ 0.00 %]\n", + "Adjust : 0.770572 [ 21.59 %]\n", + "Total : 3.56994 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5821 640 350 161 170 \n", - "1 : 5843 642 362 145 150 \n", - "2 : 5790 671 362 147 172 \n", - "3 : 5814 634 415 139 140 \n", - "4 : 5750 671 396 147 178 \n", - "5 : 5843 631 373 151 144 \n", - "6 : 5875 620 353 141 153 \n", - "7 : 5801 665 369 153 154 \n", - "8 : 5828 700 341 131 142 \n", - "9 : 5803 638 391 154 156 \n", - "10 : 5773 676 375 159 159 \n", - "11 : 5778 664 397 159 144 \n", - "12 : 5781 658 383 156 164 \n", - "13 : 5827 658 368 156 145 \n", + "0 : 5851 669 373 113 136 \n", + "1 : 5853 707 332 121 129 \n", + "2 : 5826 675 364 141 136 \n", + "3 : 5844 660 372 135 131 \n", + "4 : 5845 681 363 135 118 \n", + "5 : 5881 683 345 98 135 \n", + "6 : 5881 680 344 111 126 \n", + "7 : 5854 701 362 113 112 \n", + "8 : 5857 680 372 119 114 \n", + "9 : 5849 654 355 135 149 \n", + "10 : 5830 706 338 143 125 \n", + "11 : 5836 680 363 133 130 \n", + "12 : 5907 640 355 109 131 \n", + "13 : 5880 681 339 120 134 \n", "\n", - "T : 81327 9168 5235 2099 2171 [100000]\n", + "T : 81994 9497 4977 1726 1806 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.0341e-02 sec\n", - "--- Collate = 6.3758e-05 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.4521e-02 sec\n", + "--- Collate = 7.0067e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.050701e-06 < 6.250000e-03 [1279]\n", - "--- Max DT=1.602637e+00 > 1.000000e-01 [69846]\n", + "--- Min DT=5.760297e-06 < 6.250000e-03 [1058]\n", + "--- Max DT=1.906865e+00 > 1.000000e-01 [68944]\n", "----------------------------------------------------------------------\n", - " Component | low: 1279/100000\n", - " Component | high: 69846/100000\n", + " Component | low: 1058/100000\n", + " Component | high: 68944/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=74.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000687045 [ 0.46 %]\n", - "Velocity : 0.00217382 [ 1.47 %]\n", - "Force : 0.0574383 [ 38.83 %]\n", - "Coefs : 0.0231002 [ 15.62 %]\n", - "Output : 0.000749307 [ 0.51 %]\n", - "Levels : 0.000190212 [ 0.13 %]\n", - "Report : 1.206e-06 [ 0.00 %]\n", - "Balance : 2.64e-07 [ 0.00 %]\n", - "Adjust : 0.0635405 [ 42.95 %]\n", - "Total : 0.147928 [100.00 %]\n", + "Drift : 0.000479312 [ 0.02 %]\n", + "Velocity : 0.00251291 [ 0.08 %]\n", + "Force : 0.444946 [ 14.41 %]\n", + "Coefs : 1.98808 [ 64.37 %]\n", + "Output : 0.000881988 [ 0.03 %]\n", + "Levels : 0.000195309 [ 0.01 %]\n", + "Report : 4.04e-07 [ 0.00 %]\n", + "Balance : 3.19e-07 [ 0.00 %]\n", + "Adjust : 0.651446 [ 21.09 %]\n", + "Total : 3.08858 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5824 631 357 161 169 \n", - "1 : 5839 647 347 160 149 \n", - "2 : 5789 674 362 139 178 \n", - "3 : 5811 639 407 149 136 \n", - "4 : 5748 675 386 160 173 \n", - "5 : 5841 628 378 148 147 \n", - "6 : 5874 619 355 134 160 \n", - "7 : 5803 656 371 153 159 \n", - "8 : 5832 692 344 132 142 \n", - "9 : 5798 645 392 154 153 \n", - "10 : 5770 670 381 160 161 \n", - "11 : 5771 670 398 154 149 \n", - "12 : 5785 653 390 151 163 \n", - "13 : 5824 655 371 154 150 \n", + "0 : 5854 662 379 108 139 \n", + "1 : 5851 700 342 120 129 \n", + "2 : 5831 674 359 136 142 \n", + "3 : 5845 661 368 141 127 \n", + "4 : 5848 677 366 134 117 \n", + "5 : 5884 675 351 101 131 \n", + "6 : 5884 674 348 112 124 \n", + "7 : 5854 696 369 117 106 \n", + "8 : 5858 673 376 116 119 \n", + "9 : 5846 660 357 125 154 \n", + "10 : 5834 700 339 141 128 \n", + "11 : 5839 676 365 131 131 \n", + "12 : 5903 645 349 115 130 \n", + "13 : 5879 680 338 120 137 \n", "\n", - "T : 81309 9154 5239 2109 2189 [100000]\n", + "T : 82010 9453 5006 1717 1814 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 2.3%\n", - "--- Update = 1.0124e-02 sec\n", - "--- Collate = 6.2401e-05 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 4.5499e-02 sec\n", + "--- Collate = 3.0206e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.486125e-07 < 6.250000e-03 [1246]\n", - "--- Max DT=1.609088e+00 > 1.000000e-01 [69857]\n", + "--- Min DT=1.435423e-06 < 6.250000e-03 [1064]\n", + "--- Max DT=1.913514e+00 > 1.000000e-01 [68942]\n", "----------------------------------------------------------------------\n", - " Component | low: 1246/100000\n", - " Component | high: 69857/100000\n", + " Component | low: 1064/100000\n", + " Component | high: 68942/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=74.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000617444 [ 0.41 %]\n", - "Velocity : 0.00214441 [ 1.44 %]\n", - "Force : 0.0578647 [ 38.82 %]\n", - "Coefs : 0.0230793 [ 15.48 %]\n", - "Output : 0.000859687 [ 0.58 %]\n", - "Levels : 0.000217623 [ 0.15 %]\n", - "Report : 1.25e-06 [ 0.00 %]\n", - "Balance : 4.98e-07 [ 0.00 %]\n", - "Adjust : 0.0642343 [ 43.09 %]\n", - "Total : 0.149064 [100.00 %]\n", + "Drift : 0.000258522 [ 0.01 %]\n", + "Velocity : 0.00143948 [ 0.04 %]\n", + "Force : 0.495279 [ 14.93 %]\n", + "Coefs : 2.16184 [ 65.18 %]\n", + "Output : 0.000820133 [ 0.02 %]\n", + "Levels : 0.000160843 [ 0.00 %]\n", + "Report : 4.8e-07 [ 0.00 %]\n", + "Balance : 1.67e-07 [ 0.00 %]\n", + "Adjust : 0.656942 [ 19.81 %]\n", + "Total : 3.31677 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5819 633 351 176 163 \n", - "1 : 5837 645 359 148 153 \n", - "2 : 5792 670 366 143 171 \n", - "3 : 5808 646 396 152 140 \n", - "4 : 5751 669 390 147 185 \n", - "5 : 5837 631 369 149 156 \n", - "6 : 5876 615 356 135 160 \n", - "7 : 5802 661 368 154 157 \n", - "8 : 5827 693 343 134 145 \n", - "9 : 5788 660 384 165 145 \n", - "10 : 5768 668 382 168 156 \n", - "11 : 5770 671 392 161 148 \n", - "12 : 5786 645 405 149 157 \n", - "13 : 5827 652 368 148 159 \n", + "0 : 5859 656 371 121 135 \n", + "1 : 5845 704 342 114 137 \n", + "2 : 5828 677 358 135 144 \n", + "3 : 5846 656 372 144 124 \n", + "4 : 5849 671 372 132 118 \n", + "5 : 5886 666 354 108 128 \n", + "6 : 5881 673 344 125 119 \n", + "7 : 5852 692 376 125 97 \n", + "8 : 5857 672 369 115 129 \n", + "9 : 5846 649 369 136 142 \n", + "10 : 5833 688 347 142 132 \n", + "11 : 5838 680 354 132 138 \n", + "12 : 5908 634 354 117 129 \n", + "13 : 5883 676 342 114 139 \n", "\n", - "T : 81288 9159 5229 2129 2195 [100000]\n", + "T : 82011 9394 5024 1760 1811 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.4%\n", - "--- Adj/Tot = 2.3%\n", - "--- Update = 1.0947e-02 sec\n", - "--- Collate = 7.5765e-05 sec\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 3.6799e-02 sec\n", + "--- Collate = 5.8936e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.852951e-06 < 6.250000e-03 [1274]\n", - "--- Max DT=1.615542e+00 > 1.000000e-01 [69852]\n", + "--- Min DT=1.158789e-06 < 6.250000e-03 [1060]\n", + "--- Max DT=1.920166e+00 > 1.000000e-01 [68954]\n", "----------------------------------------------------------------------\n", - " Component | low: 1274/100000\n", - " Component | high: 69852/100000\n", + " Component | low: 1060/100000\n", + " Component | high: 68954/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=74.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000713606 [ 0.45 %]\n", - "Velocity : 0.00308955 [ 1.93 %]\n", - "Force : 0.0595618 [ 37.14 %]\n", - "Coefs : 0.0231772 [ 14.45 %]\n", - "Output : 0.00124539 [ 0.78 %]\n", - "Levels : 0.000268539 [ 0.17 %]\n", - "Report : 1.086e-06 [ 0.00 %]\n", - "Balance : 4.37e-07 [ 0.00 %]\n", - "Adjust : 0.0722423 [ 45.05 %]\n", - "Total : 0.160355 [100.00 %]\n", + "Drift : 0.00433219 [ 0.13 %]\n", + "Velocity : 0.00146963 [ 0.05 %]\n", + "Force : 0.527086 [ 16.27 %]\n", + "Coefs : 2.00568 [ 61.93 %]\n", + "Output : 0.000870541 [ 0.03 %]\n", + "Levels : 0.00016787 [ 0.01 %]\n", + "Report : 5.56e-07 [ 0.00 %]\n", + "Balance : 1.98e-07 [ 0.00 %]\n", + "Adjust : 0.699162 [ 21.59 %]\n", + "Total : 3.23879 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5817 639 351 175 160 \n", - "1 : 5838 643 362 150 149 \n", - "2 : 5784 676 374 136 172 \n", - "3 : 5806 646 390 160 140 \n", - "4 : 5747 670 394 153 178 \n", - "5 : 5836 627 386 130 163 \n", - "6 : 5869 622 358 136 157 \n", - "7 : 5798 664 362 160 158 \n", - "8 : 5830 692 343 132 145 \n", - "9 : 5788 656 389 166 143 \n", - "10 : 5775 672 374 163 158 \n", - "11 : 5768 667 398 154 155 \n", - "12 : 5783 648 398 165 148 \n", - "13 : 5827 649 377 147 154 \n", + "0 : 5860 661 363 126 132 \n", + "1 : 5846 702 345 113 136 \n", + "2 : 5831 671 362 138 140 \n", + "3 : 5842 659 370 143 128 \n", + "4 : 5851 669 372 131 119 \n", + "5 : 5891 660 355 108 128 \n", + "6 : 5888 673 330 133 118 \n", + "7 : 5848 695 372 133 94 \n", + "8 : 5857 663 385 113 124 \n", + "9 : 5849 648 369 141 135 \n", + "10 : 5831 691 341 148 131 \n", + "11 : 5837 679 341 150 135 \n", + "12 : 5911 635 342 121 133 \n", + "13 : 5887 667 349 114 137 \n", "\n", - "T : 81266 9171 5256 2127 2180 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 82029 9373 4996 1812 1790 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.6%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.1063e-02 sec\n", - "--- Collate = 7.9369e-05 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.2%\n", + "--- Update = 3.0735e-02 sec\n", + "--- Collate = 7.0122e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.870282e-06 < 6.250000e-03 [1290]\n", - "--- Max DT=1.622000e+00 > 1.000000e-01 [69850]\n", + "--- Min DT=3.240695e-06 < 6.250000e-03 [1082]\n", + "--- Max DT=1.926820e+00 > 1.000000e-01 [68964]\n", "----------------------------------------------------------------------\n", - " Component | low: 1290/100000\n", - " Component | high: 69850/100000\n", + " Component | low: 1082/100000\n", + " Component | high: 68964/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=74.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000872815 [ 0.53 %]\n", - "Velocity : 0.00331471 [ 2.00 %]\n", - "Force : 0.066173 [ 39.83 %]\n", - "Coefs : 0.023063 [ 13.88 %]\n", - "Output : 0.00134251 [ 0.81 %]\n", - "Levels : 0.000260606 [ 0.16 %]\n", - "Report : 1.494e-06 [ 0.00 %]\n", - "Balance : 4.71e-07 [ 0.00 %]\n", - "Adjust : 0.0710595 [ 42.77 %]\n", - "Total : 0.166144 [100.00 %]\n", + "Drift : 0.000252745 [ 0.01 %]\n", + "Velocity : 0.00104031 [ 0.04 %]\n", + "Force : 0.433486 [ 15.76 %]\n", + "Coefs : 1.7331 [ 63.00 %]\n", + "Output : 0.000596677 [ 0.02 %]\n", + "Levels : 0.000140613 [ 0.01 %]\n", + "Report : 5.17e-07 [ 0.00 %]\n", + "Balance : 1.78e-07 [ 0.00 %]\n", + "Adjust : 0.582118 [ 21.16 %]\n", + "Total : 2.75076 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5814 655 351 154 168 \n", - "1 : 5836 645 367 145 149 \n", - "2 : 5782 675 379 149 157 \n", - "3 : 5806 652 383 154 147 \n", - "4 : 5750 666 388 158 180 \n", - "5 : 5833 628 381 134 166 \n", - "6 : 5872 610 365 137 158 \n", - "7 : 5797 660 366 168 151 \n", - "8 : 5831 688 346 128 149 \n", - "9 : 5788 660 380 170 144 \n", - "10 : 5775 675 370 159 163 \n", - "11 : 5764 668 406 155 149 \n", - "12 : 5779 646 399 162 156 \n", - "13 : 5821 659 365 154 155 \n", + "0 : 5855 665 365 125 132 \n", + "1 : 5840 705 351 118 128 \n", + "2 : 5831 680 366 118 147 \n", + "3 : 5845 647 384 135 131 \n", + "4 : 5846 677 371 134 114 \n", + "5 : 5888 666 350 110 128 \n", + "6 : 5887 673 330 136 116 \n", + "7 : 5845 701 371 129 96 \n", + "8 : 5861 663 376 121 121 \n", + "9 : 5850 645 374 150 123 \n", + "10 : 5834 687 338 146 137 \n", + "11 : 5835 673 354 134 146 \n", + "12 : 5912 634 341 124 131 \n", + "13 : 5881 672 349 112 140 \n", "\n", - "T : 81248 9187 5246 2127 2192 [100000]\n", + "T : 82010 9388 5020 1792 1790 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", - "--- Adj/Tot = 2.3%\n", - "--- Update = 1.0394e-02 sec\n", - "--- Collate = 6.7257e-05 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.3%\n", + "--- Update = 3.4565e-02 sec\n", + "--- Collate = 1.4997e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.569517e-06 < 6.250000e-03 [1314]\n", - "--- Max DT=1.628461e+00 > 1.000000e-01 [69869]\n", + "--- Min DT=5.884576e-06 < 6.250000e-03 [1068]\n", + "--- Max DT=1.933478e+00 > 1.000000e-01 [68963]\n", "----------------------------------------------------------------------\n", - " Component | low: 1314/100000\n", - " Component | high: 69869/100000\n", + " Component | low: 1068/100000\n", + " Component | high: 68963/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=74.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000842968 [ 0.50 %]\n", - "Velocity : 0.00270691 [ 1.62 %]\n", - "Force : 0.068739 [ 41.15 %]\n", - "Coefs : 0.0242495 [ 14.52 %]\n", - "Output : 0.00124982 [ 0.75 %]\n", - "Levels : 0.00018686 [ 0.11 %]\n", - "Report : 1.306e-06 [ 0.00 %]\n", - "Balance : 3.89e-07 [ 0.00 %]\n", - "Adjust : 0.0690242 [ 41.32 %]\n", - "Total : 0.167059 [100.00 %]\n", + "Drift : 0.000275162 [ 0.01 %]\n", + "Velocity : 0.00131317 [ 0.04 %]\n", + "Force : 0.547884 [ 15.78 %]\n", + "Coefs : 2.20005 [ 63.38 %]\n", + "Output : 0.000605317 [ 0.02 %]\n", + "Levels : 0.000143431 [ 0.00 %]\n", + "Report : 4.78e-07 [ 0.00 %]\n", + "Balance : 1.54e-07 [ 0.00 %]\n", + "Adjust : 0.720868 [ 20.77 %]\n", + "Total : 3.47116 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5815 650 360 147 170 \n", - "1 : 5824 653 375 144 146 \n", - "2 : 5775 685 375 156 151 \n", - "3 : 5804 650 389 154 145 \n", - "4 : 5752 671 387 149 183 \n", - "5 : 5834 623 388 128 169 \n", - "6 : 5872 615 363 132 160 \n", - "7 : 5799 661 357 166 159 \n", - "8 : 5833 682 351 129 147 \n", - "9 : 5792 653 390 162 145 \n", - "10 : 5771 674 377 155 165 \n", - "11 : 5769 666 403 144 160 \n", - "12 : 5780 638 409 157 158 \n", - "13 : 5819 663 364 164 144 \n", + "0 : 5852 667 365 126 132 \n", + "1 : 5836 706 351 120 129 \n", + "2 : 5832 672 376 122 140 \n", + "3 : 5847 639 396 133 127 \n", + "4 : 5848 673 372 134 115 \n", + "5 : 5889 661 352 119 121 \n", + "6 : 5889 681 311 141 120 \n", + "7 : 5848 695 380 113 106 \n", + "8 : 5855 663 373 127 124 \n", + "9 : 5854 645 376 144 123 \n", + "10 : 5839 681 335 146 141 \n", + "11 : 5836 673 354 134 145 \n", + "12 : 5912 630 336 128 136 \n", + "13 : 5886 666 353 117 132 \n", "\n", - "T : 81239 9184 5288 2087 2202 [100000]\n", + "T : 82023 9352 5030 1804 1791 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.1384e-02 sec\n", - "--- Collate = 6.7406e-05 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 3.4586e-02 sec\n", + "--- Collate = 8.0054e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.484031e-06 < 6.250000e-03 [1305]\n", - "--- Max DT=1.634926e+00 > 1.000000e-01 [69889]\n", + "--- Min DT=1.272899e-06 < 6.250000e-03 [1055]\n", + "--- Max DT=1.940138e+00 > 1.000000e-01 [68966]\n", "----------------------------------------------------------------------\n", - " Component | low: 1305/100000\n", - " Component | high: 69889/100000\n", + " Component | low: 1055/100000\n", + " Component | high: 68966/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=74.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000671833 [ 0.43 %]\n", - "Velocity : 0.00224505 [ 1.45 %]\n", - "Force : 0.0596996 [ 38.45 %]\n", - "Coefs : 0.0239689 [ 15.44 %]\n", - "Output : 0.000990104 [ 0.64 %]\n", - "Levels : 0.000218376 [ 0.14 %]\n", - "Report : 1.156e-06 [ 0.00 %]\n", - "Balance : 4.67e-07 [ 0.00 %]\n", - "Adjust : 0.0674269 [ 43.43 %]\n", - "Total : 0.155267 [100.00 %]\n", + "Drift : 0.000269427 [ 0.01 %]\n", + "Velocity : 0.00154936 [ 0.06 %]\n", + "Force : 0.48181 [ 17.54 %]\n", + "Coefs : 1.72441 [ 62.77 %]\n", + "Output : 0.000628554 [ 0.02 %]\n", + "Levels : 0.000121178 [ 0.00 %]\n", + "Report : 3.27e-07 [ 0.00 %]\n", + "Balance : 1.07e-07 [ 0.00 %]\n", + "Adjust : 0.538455 [ 19.60 %]\n", + "Total : 2.74727 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5811 649 372 144 166 \n", - "1 : 5822 652 371 148 149 \n", - "2 : 5775 677 376 163 151 \n", - "3 : 5810 644 389 140 159 \n", - "4 : 5748 673 385 153 183 \n", - "5 : 5829 638 382 124 169 \n", - "6 : 5867 625 362 134 154 \n", - "7 : 5800 664 350 165 163 \n", - "8 : 5835 678 344 141 144 \n", - "9 : 5787 660 396 156 143 \n", - "10 : 5766 689 371 140 176 \n", - "11 : 5764 677 393 149 159 \n", - "12 : 5776 650 400 154 162 \n", - "13 : 5818 673 351 165 147 \n", + "0 : 5854 669 359 133 127 \n", + "1 : 5840 697 353 125 127 \n", + "2 : 5833 669 379 131 130 \n", + "3 : 5845 650 379 146 122 \n", + "4 : 5846 663 384 128 121 \n", + "5 : 5882 666 350 124 120 \n", + "6 : 5886 677 315 144 120 \n", + "7 : 5845 701 369 124 103 \n", + "8 : 5858 665 361 134 124 \n", + "9 : 5850 650 375 137 130 \n", + "10 : 5839 677 342 149 135 \n", + "11 : 5835 673 355 143 136 \n", + "12 : 5909 638 331 136 128 \n", + "13 : 5882 667 352 117 136 \n", "\n", - "T : 81208 9249 5242 2076 2225 [100000]\n", + "T : 82004 9362 5004 1871 1759 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0154e-02 sec\n", - "--- Collate = 7.1590e-05 sec\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 4.7392e-02 sec\n", + "--- Collate = 6.0218e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.731080e-07 < 6.250000e-03 [1315]\n", - "--- Max DT=1.641393e+00 > 1.000000e-01 [69904]\n", + "--- Min DT=3.207893e-06 < 6.250000e-03 [1042]\n", + "--- Max DT=1.946802e+00 > 1.000000e-01 [68958]\n", "----------------------------------------------------------------------\n", - " Component | low: 1315/100000\n", - " Component | high: 69904/100000\n", + " Component | low: 1042/100000\n", + " Component | high: 68958/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=75] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000687229 [ 0.43 %]\n", - "Velocity : 0.00316885 [ 1.96 %]\n", - "Force : 0.0594868 [ 36.85 %]\n", - "Coefs : 0.0244172 [ 15.13 %]\n", - "Output : 0.00556875 [ 3.45 %]\n", - "Levels : 0.000298835 [ 0.19 %]\n", - "Report : 1.215e-06 [ 0.00 %]\n", - "Balance : 6.46e-07 [ 0.00 %]\n", - "Adjust : 0.0677292 [ 41.96 %]\n", - "Total : 0.161409 [100.00 %]\n", + "Drift : 0.000344997 [ 0.01 %]\n", + "Velocity : 0.00174148 [ 0.06 %]\n", + "Force : 0.45984 [ 14.56 %]\n", + "Coefs : 2.04047 [ 64.62 %]\n", + "Output : 0.00642383 [ 0.20 %]\n", + "Levels : 0.000261366 [ 0.01 %]\n", + "Report : 6.77e-07 [ 0.00 %]\n", + "Balance : 3.4e-07 [ 0.00 %]\n", + "Adjust : 0.648654 [ 20.54 %]\n", + "Total : 3.15777 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5808 658 369 135 172 \n", - "1 : 5817 659 361 149 156 \n", - "2 : 5772 675 385 161 149 \n", - "3 : 5812 646 385 145 154 \n", - "4 : 5748 676 383 145 190 \n", - "5 : 5837 622 385 134 164 \n", - "6 : 5867 623 361 139 152 \n", - "7 : 5798 670 344 152 178 \n", - "8 : 5838 671 347 134 152 \n", - "9 : 5789 665 388 161 139 \n", - "10 : 5766 700 363 136 177 \n", - "11 : 5760 681 393 151 157 \n", - "12 : 5779 649 390 167 157 \n", - "13 : 5811 683 351 163 146 \n", + "0 : 5853 667 361 133 128 \n", + "1 : 5841 697 353 127 124 \n", + "2 : 5832 676 367 139 128 \n", + "3 : 5838 656 390 137 121 \n", + "4 : 5849 647 393 129 124 \n", + "5 : 5882 665 350 126 119 \n", + "6 : 5886 676 323 136 121 \n", + "7 : 5846 700 365 128 103 \n", + "8 : 5856 672 365 114 135 \n", + "9 : 5848 656 375 133 130 \n", + "10 : 5834 688 339 142 139 \n", + "11 : 5839 666 362 126 149 \n", + "12 : 5914 627 335 136 130 \n", + "13 : 5886 665 349 125 129 \n", "\n", - "T : 81202 9278 5205 2072 2243 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 82004 9358 5027 1831 1780 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.3%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.0656e-02 sec\n", - "--- Collate = 6.5216e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 7.3432e-02 sec\n", + "--- Collate = 2.7118e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.016782e-07 < 6.250000e-03 [1334]\n", - "--- Max DT=1.647864e+00 > 1.000000e-01 [69901]\n", + "--- Min DT=1.527305e-06 < 6.250000e-03 [1001]\n", + "--- Max DT=1.953468e+00 > 1.000000e-01 [68950]\n", "----------------------------------------------------------------------\n", - " Component | low: 1334/100000\n", - " Component | high: 69901/100000\n", + " Component | low: 1001/100000\n", + " Component | high: 68950/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=75.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000595727 [ 0.40 %]\n", - "Velocity : 0.00222653 [ 1.48 %]\n", - "Force : 0.0577094 [ 38.33 %]\n", - "Coefs : 0.0234485 [ 15.57 %]\n", - "Output : 0.000784665 [ 0.52 %]\n", - "Levels : 0.000175717 [ 0.12 %]\n", - "Report : 1.203e-06 [ 0.00 %]\n", - "Balance : 2.73e-07 [ 0.00 %]\n", - "Adjust : 0.0655761 [ 43.56 %]\n", - "Total : 0.150558 [100.00 %]\n", + "Drift : 0.000607138 [ 0.02 %]\n", + "Velocity : 0.00367534 [ 0.10 %]\n", + "Force : 0.65586 [ 17.46 %]\n", + "Coefs : 2.24312 [ 59.70 %]\n", + "Output : 0.0017502 [ 0.05 %]\n", + "Levels : 0.000262586 [ 0.01 %]\n", + "Report : 1.051e-06 [ 0.00 %]\n", + "Balance : 4.37e-07 [ 0.00 %]\n", + "Adjust : 0.85177 [ 22.67 %]\n", + "Total : 3.7571 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5813 658 360 143 168 \n", - "1 : 5815 663 355 155 154 \n", - "2 : 5765 676 391 165 145 \n", - "3 : 5812 643 384 144 159 \n", - "4 : 5746 668 388 153 187 \n", - "5 : 5842 613 383 151 153 \n", - "6 : 5860 625 359 139 159 \n", - "7 : 5793 670 359 147 173 \n", - "8 : 5839 672 340 148 143 \n", - "9 : 5784 674 375 161 148 \n", - "10 : 5762 704 357 146 173 \n", - "11 : 5768 672 397 151 154 \n", - "12 : 5774 656 381 178 153 \n", - "13 : 5813 680 348 162 151 \n", + "0 : 5856 663 363 133 127 \n", + "1 : 5845 682 363 128 124 \n", + "2 : 5829 675 362 150 126 \n", + "3 : 5840 654 398 121 129 \n", + "4 : 5848 648 396 118 132 \n", + "5 : 5886 660 352 126 118 \n", + "6 : 5886 676 327 124 129 \n", + "7 : 5847 701 357 129 108 \n", + "8 : 5858 672 362 118 132 \n", + "9 : 5849 659 373 138 123 \n", + "10 : 5836 689 339 133 145 \n", + "11 : 5834 669 362 131 146 \n", + "12 : 5913 625 340 135 129 \n", + "13 : 5882 670 352 119 131 \n", "\n", - "T : 81186 9274 5177 2143 2220 [100000]\n", + "T : 82009 9343 5046 1803 1799 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.0119e-02 sec\n", - "--- Collate = 6.2907e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 5.1258e-02 sec\n", + "--- Collate = 8.0166e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.361311e-06 < 6.250000e-03 [1356]\n", - "--- Max DT=1.654339e+00 > 1.000000e-01 [69909]\n", + "--- Min DT=1.104630e-05 < 6.250000e-03 [1020]\n", + "--- Max DT=1.960137e+00 > 1.000000e-01 [68973]\n", "----------------------------------------------------------------------\n", - " Component | low: 1356/100000\n", - " Component | high: 69909/100000\n", + " Component | low: 1020/100000\n", + " Component | high: 68973/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=75.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000590622 [ 0.40 %]\n", - "Velocity : 0.0021498 [ 1.44 %]\n", - "Force : 0.0575087 [ 38.58 %]\n", - "Coefs : 0.0233045 [ 15.63 %]\n", - "Output : 0.000830101 [ 0.56 %]\n", - "Levels : 0.000211871 [ 0.14 %]\n", - "Report : 1.172e-06 [ 0.00 %]\n", - "Balance : 4.59e-07 [ 0.00 %]\n", - "Adjust : 0.0644204 [ 43.22 %]\n", - "Total : 0.149062 [100.00 %]\n", + "Drift : 0.0010315 [ 0.03 %]\n", + "Velocity : 0.00384256 [ 0.12 %]\n", + "Force : 0.568435 [ 17.36 %]\n", + "Coefs : 2.04858 [ 62.55 %]\n", + "Output : 0.00185004 [ 0.06 %]\n", + "Levels : 0.000262659 [ 0.01 %]\n", + "Report : 8e-07 [ 0.00 %]\n", + "Balance : 3.2e-07 [ 0.00 %]\n", + "Adjust : 0.650855 [ 19.87 %]\n", + "Total : 3.27491 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5811 667 352 146 166 \n", - "1 : 5814 659 356 160 153 \n", - "2 : 5770 670 399 154 149 \n", - "3 : 5808 646 392 142 154 \n", - "4 : 5752 658 394 147 191 \n", - "5 : 5843 618 381 148 152 \n", - "6 : 5863 619 362 143 155 \n", - "7 : 5795 668 355 155 169 \n", - "8 : 5835 679 337 144 147 \n", - "9 : 5781 678 378 146 159 \n", - "10 : 5764 704 354 147 173 \n", - "11 : 5767 667 404 149 155 \n", - "12 : 5768 648 396 178 152 \n", - "13 : 5812 690 338 159 155 \n", + "0 : 5856 655 372 137 122 \n", + "1 : 5838 688 361 134 121 \n", + "2 : 5826 680 377 137 122 \n", + "3 : 5833 651 398 129 131 \n", + "4 : 5852 646 386 125 133 \n", + "5 : 5887 664 343 131 117 \n", + "6 : 5882 682 321 123 134 \n", + "7 : 5844 710 347 137 104 \n", + "8 : 5854 667 360 126 135 \n", + "9 : 5846 656 379 144 117 \n", + "10 : 5838 683 345 121 155 \n", + "11 : 5843 657 375 120 147 \n", + "12 : 5910 627 349 123 133 \n", + "13 : 5880 678 354 109 133 \n", "\n", - "T : 81183 9271 5198 2118 2230 [100000]\n", + "T : 81989 9344 5067 1796 1804 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0129e-02 sec\n", - "--- Collate = 6.5140e-05 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 7.1987e-02 sec\n", + "--- Collate = 4.0329e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.272960e-06 < 6.250000e-03 [1332]\n", - "--- Max DT=1.660817e+00 > 1.000000e-01 [69936]\n", + "--- Min DT=1.485173e-05 < 6.250000e-03 [1029]\n", + "--- Max DT=1.966810e+00 > 1.000000e-01 [68968]\n", "----------------------------------------------------------------------\n", - " Component | low: 1332/100000\n", - " Component | high: 69936/100000\n", + " Component | low: 1029/100000\n", + " Component | high: 68968/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=75.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000571084 [ 0.38 %]\n", - "Velocity : 0.00233973 [ 1.57 %]\n", - "Force : 0.0576394 [ 38.66 %]\n", - "Coefs : 0.0232422 [ 15.59 %]\n", - "Output : 0.000744001 [ 0.50 %]\n", - "Levels : 0.000168446 [ 0.11 %]\n", - "Report : 1.312e-06 [ 0.00 %]\n", - "Balance : 3.86e-07 [ 0.00 %]\n", - "Adjust : 0.0643515 [ 43.16 %]\n", - "Total : 0.149103 [100.00 %]\n", + "Drift : 0.00110961 [ 0.03 %]\n", + "Velocity : 0.00409197 [ 0.13 %]\n", + "Force : 0.545005 [ 17.18 %]\n", + "Coefs : 1.99886 [ 63.01 %]\n", + "Output : 0.00172961 [ 0.05 %]\n", + "Levels : 0.000456317 [ 0.01 %]\n", + "Report : 7.86e-07 [ 0.00 %]\n", + "Balance : 3.35e-07 [ 0.00 %]\n", + "Adjust : 0.620883 [ 19.57 %]\n", + "Total : 3.1722 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5811 671 348 139 173 \n", - "1 : 5814 655 367 151 155 \n", - "2 : 5769 686 382 150 155 \n", - "3 : 5812 634 390 152 154 \n", - "4 : 5752 661 392 147 190 \n", - "5 : 5846 617 379 151 149 \n", - "6 : 5859 617 369 138 159 \n", - "7 : 5787 675 348 165 167 \n", - "8 : 5842 676 339 138 147 \n", - "9 : 5776 687 366 149 164 \n", - "10 : 5765 700 365 147 165 \n", - "11 : 5770 661 401 151 159 \n", - "12 : 5766 654 390 165 167 \n", - "13 : 5810 691 339 154 160 \n", + "0 : 5856 648 378 132 128 \n", + "1 : 5842 678 372 122 128 \n", + "2 : 5825 679 387 130 121 \n", + "3 : 5830 660 388 125 139 \n", + "4 : 5848 645 385 124 140 \n", + "5 : 5887 661 346 133 115 \n", + "6 : 5882 682 326 116 136 \n", + "7 : 5845 707 339 143 108 \n", + "8 : 5859 652 362 144 125 \n", + "9 : 5849 663 366 151 113 \n", + "10 : 5838 678 356 123 147 \n", + "11 : 5842 665 367 123 145 \n", + "12 : 5914 620 353 115 140 \n", + "13 : 5871 687 353 119 124 \n", "\n", - "T : 81179 9285 5175 2097 2264 [100000]\n", + "T : 81988 9325 5078 1800 1809 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0176e-02 sec\n", - "--- Collate = 6.7640e-05 sec\n", + "--- Coef/DT = 13.0%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 6.7901e-02 sec\n", + "--- Collate = 2.6722e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.007141e-06 < 6.250000e-03 [1314]\n", - "--- Max DT=1.667298e+00 > 1.000000e-01 [69941]\n", + "--- Min DT=2.882496e-07 < 6.250000e-03 [1042]\n", + "--- Max DT=1.973485e+00 > 1.000000e-01 [68988]\n", "----------------------------------------------------------------------\n", - " Component | low: 1314/100000\n", - " Component | high: 69941/100000\n", + " Component | low: 1042/100000\n", + " Component | high: 68988/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=75.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000662425 [ 0.44 %]\n", - "Velocity : 0.00211775 [ 1.42 %]\n", - "Force : 0.0570293 [ 38.31 %]\n", - "Coefs : 0.0242388 [ 16.28 %]\n", - "Output : 0.000844236 [ 0.57 %]\n", - "Levels : 0.000225824 [ 0.15 %]\n", - "Report : 1.167e-06 [ 0.00 %]\n", - "Balance : 3.72e-07 [ 0.00 %]\n", - "Adjust : 0.0637014 [ 42.79 %]\n", - "Total : 0.148863 [100.00 %]\n", + "Drift : 0.0010014 [ 0.03 %]\n", + "Velocity : 0.00358022 [ 0.11 %]\n", + "Force : 0.513648 [ 15.29 %]\n", + "Coefs : 2.09887 [ 62.46 %]\n", + "Output : 0.00135315 [ 0.04 %]\n", + "Levels : 0.000286749 [ 0.01 %]\n", + "Report : 1.642e-06 [ 0.00 %]\n", + "Balance : 4.76e-07 [ 0.00 %]\n", + "Adjust : 0.741535 [ 22.07 %]\n", + "Total : 3.36033 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5804 680 350 128 180 \n", - "1 : 5818 656 363 152 153 \n", - "2 : 5768 689 375 154 156 \n", - "3 : 5811 631 398 151 151 \n", - "4 : 5745 658 405 146 188 \n", - "5 : 5843 625 385 138 151 \n", - "6 : 5860 611 364 146 161 \n", - "7 : 5784 677 348 156 177 \n", - "8 : 5843 678 334 136 151 \n", - "9 : 5772 686 369 141 174 \n", - "10 : 5764 701 371 145 161 \n", - "11 : 5773 651 409 154 155 \n", - "12 : 5767 645 400 156 174 \n", - "13 : 5809 691 342 155 157 \n", + "0 : 5849 656 368 136 133 \n", + "1 : 5844 675 377 121 125 \n", + "2 : 5827 678 388 125 124 \n", + "3 : 5831 660 380 122 149 \n", + "4 : 5843 651 384 123 141 \n", + "5 : 5883 660 359 124 116 \n", + "6 : 5877 687 330 114 134 \n", + "7 : 5839 715 340 132 116 \n", + "8 : 5857 647 373 140 125 \n", + "9 : 5847 667 365 152 111 \n", + "10 : 5842 675 353 133 139 \n", + "11 : 5843 665 364 126 144 \n", + "12 : 5917 618 353 117 137 \n", + "13 : 5864 686 364 113 127 \n", "\n", - "T : 81161 9279 5213 2058 2289 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81963 9340 5098 1778 1821 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0149e-02 sec\n", - "--- Collate = 6.1968e-05 sec\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.4%\n", + "--- Update = 6.9386e-02 sec\n", + "--- Collate = 1.0029e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.690568e-06 < 6.250000e-03 [1323]\n", - "--- Max DT=1.673782e+00 > 1.000000e-01 [69960]\n", + "--- Min DT=7.346343e-06 < 6.250000e-03 [1110]\n", + "--- Max DT=1.980163e+00 > 1.000000e-01 [68985]\n", "----------------------------------------------------------------------\n", - " Component | low: 1323/100000\n", - " Component | high: 69960/100000\n", + " Component | low: 1110/100000\n", + " Component | high: 68985/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=75.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000594685 [ 0.40 %]\n", - "Velocity : 0.00258802 [ 1.72 %]\n", - "Force : 0.0580788 [ 38.65 %]\n", - "Coefs : 0.0232775 [ 15.49 %]\n", - "Output : 0.000715682 [ 0.48 %]\n", - "Levels : 0.000185176 [ 0.12 %]\n", - "Report : 1.211e-06 [ 0.00 %]\n", - "Balance : 4.16e-07 [ 0.00 %]\n", - "Adjust : 0.0647851 [ 43.11 %]\n", - "Total : 0.150272 [100.00 %]\n", + "Drift : 0.000537871 [ 0.01 %]\n", + "Velocity : 0.00196713 [ 0.05 %]\n", + "Force : 0.674729 [ 16.63 %]\n", + "Coefs : 2.5366 [ 62.53 %]\n", + "Output : 0.000776626 [ 0.02 %]\n", + "Levels : 0.000240279 [ 0.01 %]\n", + "Report : 1.126e-06 [ 0.00 %]\n", + "Balance : 3.87e-07 [ 0.00 %]\n", + "Adjust : 0.841652 [ 20.75 %]\n", + "Total : 4.05655 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5806 685 350 129 172 \n", - "1 : 5821 650 372 146 153 \n", - "2 : 5768 691 377 143 163 \n", - "3 : 5815 626 400 145 156 \n", - "4 : 5734 666 402 153 187 \n", - "5 : 5843 632 371 143 153 \n", - "6 : 5859 609 368 145 161 \n", - "7 : 5781 676 351 148 186 \n", - "8 : 5844 670 332 149 147 \n", - "9 : 5768 697 360 143 174 \n", - "10 : 5759 710 368 139 166 \n", - "11 : 5768 654 409 143 168 \n", - "12 : 5765 653 398 156 170 \n", - "13 : 5802 686 361 147 158 \n", + "0 : 5853 660 358 131 140 \n", + "1 : 5847 671 372 124 128 \n", + "2 : 5823 681 392 125 121 \n", + "3 : 5832 658 387 119 146 \n", + "4 : 5838 657 386 127 134 \n", + "5 : 5884 658 358 129 113 \n", + "6 : 5874 687 337 109 135 \n", + "7 : 5835 717 347 123 120 \n", + "8 : 5862 651 361 144 124 \n", + "9 : 5845 671 375 135 116 \n", + "10 : 5844 673 354 132 139 \n", + "11 : 5843 663 375 123 138 \n", + "12 : 5915 621 348 125 133 \n", + "13 : 5867 675 371 114 127 \n", "\n", - "T : 81133 9305 5219 2029 2314 [100000]\n", + "T : 81962 9343 5121 1760 1814 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0114e-02 sec\n", - "--- Collate = 6.5891e-05 sec\n", + "--- Coef/DT = 23.6%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 5.2568e-02 sec\n", + "--- Collate = 1.4027e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.737755e-06 < 6.250000e-03 [1324]\n", - "--- Max DT=1.680270e+00 > 1.000000e-01 [69978]\n", + "--- Min DT=8.829273e-07 < 6.250000e-03 [1106]\n", + "--- Max DT=1.986843e+00 > 1.000000e-01 [68988]\n", "----------------------------------------------------------------------\n", - " Component | low: 1324/100000\n", - " Component | high: 69978/100000\n", + " Component | low: 1106/100000\n", + " Component | high: 68988/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=75.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000569037 [ 0.38 %]\n", - "Velocity : 0.00197624 [ 1.33 %]\n", - "Force : 0.0576313 [ 38.72 %]\n", - "Coefs : 0.0236663 [ 15.90 %]\n", - "Output : 0.000683907 [ 0.46 %]\n", - "Levels : 0.000180611 [ 0.12 %]\n", - "Report : 1.129e-06 [ 0.00 %]\n", - "Balance : 2.65e-07 [ 0.00 %]\n", - "Adjust : 0.0641097 [ 43.07 %]\n", - "Total : 0.14886 [100.00 %]\n", + "Drift : 0.000520153 [ 0.01 %]\n", + "Velocity : 0.00197794 [ 0.05 %]\n", + "Force : 0.618974 [ 15.84 %]\n", + "Coefs : 2.42486 [ 62.07 %]\n", + "Output : 0.000864215 [ 0.02 %]\n", + "Levels : 0.000245443 [ 0.01 %]\n", + "Report : 1.208e-06 [ 0.00 %]\n", + "Balance : 4.55e-07 [ 0.00 %]\n", + "Adjust : 0.859255 [ 21.99 %]\n", + "Total : 3.90675 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5806 690 344 129 173 \n", - "1 : 5821 650 379 139 153 \n", - "2 : 5769 682 383 158 150 \n", - "3 : 5810 630 402 148 152 \n", - "4 : 5729 671 401 156 185 \n", - "5 : 5839 630 373 137 163 \n", - "6 : 5858 607 370 140 167 \n", - "7 : 5780 679 350 156 177 \n", - "8 : 5839 680 324 151 148 \n", - "9 : 5772 699 353 146 172 \n", - "10 : 5759 703 372 145 163 \n", - "11 : 5766 654 412 139 171 \n", - "12 : 5764 657 397 146 178 \n", - "13 : 5802 675 364 155 158 \n", + "0 : 5850 666 359 129 138 \n", + "1 : 5849 671 368 122 132 \n", + "2 : 5820 674 403 122 123 \n", + "3 : 5836 667 372 122 145 \n", + "4 : 5833 660 386 127 136 \n", + "5 : 5886 651 362 126 117 \n", + "6 : 5876 675 357 95 139 \n", + "7 : 5839 711 352 112 128 \n", + "8 : 5861 643 362 144 132 \n", + "9 : 5850 663 383 120 126 \n", + "10 : 5842 668 361 123 148 \n", + "11 : 5843 669 371 117 142 \n", + "12 : 5915 626 345 122 134 \n", + "13 : 5865 673 383 106 127 \n", "\n", - "T : 81114 9307 5224 2045 2310 [100000]\n", + "T : 81965 9317 5164 1687 1867 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0143e-02 sec\n", - "--- Collate = 7.2793e-05 sec\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 5.7518e-02 sec\n", + "--- Collate = 2.0024e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.560165e-06 < 6.250000e-03 [1340]\n", - "--- Max DT=1.686761e+00 > 1.000000e-01 [69979]\n", + "--- Min DT=3.538945e-06 < 6.250000e-03 [1148]\n", + "--- Max DT=1.993527e+00 > 1.000000e-01 [68991]\n", "----------------------------------------------------------------------\n", - " Component | low: 1340/100000\n", - " Component | high: 69979/100000\n", + " Component | low: 1148/100000\n", + " Component | high: 68991/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=75.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000668633 [ 0.44 %]\n", - "Velocity : 0.00228605 [ 1.49 %]\n", - "Force : 0.0589015 [ 38.44 %]\n", - "Coefs : 0.0234386 [ 15.30 %]\n", - "Output : 0.000935364 [ 0.61 %]\n", - "Levels : 0.000188907 [ 0.12 %]\n", - "Report : 1.172e-06 [ 0.00 %]\n", - "Balance : 4.41e-07 [ 0.00 %]\n", - "Adjust : 0.0667494 [ 43.57 %]\n", - "Total : 0.153216 [100.00 %]\n", + "Drift : 0.000556971 [ 0.02 %]\n", + "Velocity : 0.00198843 [ 0.06 %]\n", + "Force : 0.578358 [ 17.72 %]\n", + "Coefs : 1.97105 [ 60.39 %]\n", + "Output : 0.00101474 [ 0.03 %]\n", + "Levels : 0.000388593 [ 0.01 %]\n", + "Report : 1.263e-06 [ 0.00 %]\n", + "Balance : 4.45e-07 [ 0.00 %]\n", + "Adjust : 0.710204 [ 21.76 %]\n", + "Total : 3.26361 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5809 687 340 123 183 \n", - "1 : 5814 656 383 138 151 \n", - "2 : 5769 676 397 145 155 \n", - "3 : 5814 630 397 154 147 \n", - "4 : 5731 666 408 150 187 \n", - "5 : 5839 635 373 139 156 \n", - "6 : 5859 611 363 151 158 \n", - "7 : 5777 686 346 161 172 \n", - "8 : 5843 666 323 152 158 \n", - "9 : 5768 693 368 145 168 \n", - "10 : 5758 699 377 149 159 \n", - "11 : 5764 656 409 147 166 \n", - "12 : 5775 645 400 152 170 \n", - "13 : 5800 681 364 149 160 \n", + "0 : 5854 657 360 133 138 \n", + "1 : 5848 668 369 125 132 \n", + "2 : 5817 675 398 128 124 \n", + "3 : 5831 676 364 120 151 \n", + "4 : 5836 652 394 120 140 \n", + "5 : 5887 642 367 124 122 \n", + "6 : 5868 681 361 89 143 \n", + "7 : 5840 715 342 125 120 \n", + "8 : 5866 633 376 132 135 \n", + "9 : 5849 660 395 119 119 \n", + "10 : 5848 666 360 122 146 \n", + "11 : 5846 667 372 118 139 \n", + "12 : 5915 620 349 129 129 \n", + "13 : 5872 664 395 95 128 \n", "\n", - "T : 81120 9287 5248 2055 2290 [100000]\n", + "T : 81977 9276 5202 1679 1866 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", - "--- Adj/Tot = 2.3%\n", - "--- Update = 1.0270e-02 sec\n", - "--- Collate = 6.7119e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 4.5410e-02 sec\n", + "--- Collate = 7.9204e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.092281e-07 < 6.250000e-03 [1347]\n", - "--- Max DT=1.693255e+00 > 1.000000e-01 [69966]\n", + "--- Min DT=3.806716e-07 < 6.250000e-03 [1149]\n", + "--- Max DT=2.000214e+00 > 1.000000e-01 [68980]\n", "----------------------------------------------------------------------\n", - " Component | low: 1347/100000\n", - " Component | high: 69966/100000\n", + " Component | low: 1149/100000\n", + " Component | high: 68980/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=75.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000592505 [ 0.39 %]\n", - "Velocity : 0.00216267 [ 1.42 %]\n", - "Force : 0.05848 [ 38.38 %]\n", - "Coefs : 0.0234594 [ 15.40 %]\n", - "Output : 0.000963546 [ 0.63 %]\n", - "Levels : 0.000216627 [ 0.14 %]\n", - "Report : 1.047e-06 [ 0.00 %]\n", - "Balance : 4.91e-07 [ 0.00 %]\n", - "Adjust : 0.0664572 [ 43.62 %]\n", - "Total : 0.152372 [100.00 %]\n", + "Drift : 0.000580344 [ 0.02 %]\n", + "Velocity : 0.00292332 [ 0.09 %]\n", + "Force : 0.570497 [ 17.77 %]\n", + "Coefs : 1.87711 [ 58.46 %]\n", + "Output : 0.00113303 [ 0.04 %]\n", + "Levels : 0.00031907 [ 0.01 %]\n", + "Report : 9.33e-07 [ 0.00 %]\n", + "Balance : 2.56e-07 [ 0.00 %]\n", + "Adjust : 0.758043 [ 23.61 %]\n", + "Total : 3.21065 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5803 696 331 139 173 \n", - "1 : 5810 663 383 142 144 \n", - "2 : 5767 679 395 144 157 \n", - "3 : 5806 647 388 160 141 \n", - "4 : 5729 679 401 151 182 \n", - "5 : 5839 627 380 142 154 \n", - "6 : 5852 616 368 149 157 \n", - "7 : 5781 682 355 161 163 \n", - "8 : 5846 660 329 152 155 \n", - "9 : 5769 694 366 143 170 \n", - "10 : 5753 709 366 161 153 \n", - "11 : 5763 660 397 163 159 \n", - "12 : 5775 645 397 158 167 \n", - "13 : 5802 678 367 152 155 \n", + "0 : 5846 673 345 145 133 \n", + "1 : 5847 667 377 120 131 \n", + "2 : 5817 672 394 129 130 \n", + "3 : 5824 689 357 126 146 \n", + "4 : 5833 651 388 129 141 \n", + "5 : 5888 643 364 125 122 \n", + "6 : 5868 676 365 93 140 \n", + "7 : 5837 712 348 128 117 \n", + "8 : 5873 627 379 120 143 \n", + "9 : 5852 658 394 124 114 \n", + "10 : 5855 659 358 129 141 \n", + "11 : 5842 671 373 115 141 \n", + "12 : 5908 625 353 129 127 \n", + "13 : 5866 674 394 98 122 \n", "\n", - "T : 81095 9335 5223 2117 2230 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81956 9297 5189 1710 1848 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.0930e-02 sec\n", - "--- Collate = 6.6547e-05 sec\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.5%\n", + "--- Update = 4.7847e-02 sec\n", + "--- Collate = 8.0559e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.419310e-06 < 6.250000e-03 [1344]\n", - "--- Max DT=1.699753e+00 > 1.000000e-01 [69978]\n", + "--- Min DT=9.741817e-07 < 6.250000e-03 [1166]\n", + "--- Max DT=2.006903e+00 > 1.000000e-01 [68984]\n", "----------------------------------------------------------------------\n", - " Component | low: 1344/100000\n", - " Component | high: 69978/100000\n", + " Component | low: 1166/100000\n", + " Component | high: 68984/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=75.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000623477 [ 0.41 %]\n", - "Velocity : 0.00202966 [ 1.35 %]\n", - "Force : 0.0577378 [ 38.31 %]\n", - "Coefs : 0.0237354 [ 15.75 %]\n", - "Output : 0.000765865 [ 0.51 %]\n", - "Levels : 0.000268787 [ 0.18 %]\n", - "Report : 1.243e-06 [ 0.00 %]\n", - "Balance : 4.31e-07 [ 0.00 %]\n", - "Adjust : 0.0655105 [ 43.47 %]\n", - "Total : 0.150713 [100.00 %]\n", + "Drift : 0.000792829 [ 0.02 %]\n", + "Velocity : 0.00344692 [ 0.11 %]\n", + "Force : 0.566114 [ 17.76 %]\n", + "Coefs : 1.92359 [ 60.33 %]\n", + "Output : 0.00161163 [ 0.05 %]\n", + "Levels : 0.000837438 [ 0.03 %]\n", + "Report : 8.13e-07 [ 0.00 %]\n", + "Balance : 3.08e-07 [ 0.00 %]\n", + "Adjust : 0.69178 [ 21.70 %]\n", + "Total : 3.18823 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5797 708 325 138 174 \n", - "1 : 5811 657 383 143 148 \n", - "2 : 5768 683 397 146 148 \n", - "3 : 5803 652 384 156 147 \n", - "4 : 5729 681 404 146 182 \n", - "5 : 5839 630 384 130 159 \n", - "6 : 5852 619 361 148 162 \n", - "7 : 5777 682 365 147 171 \n", - "8 : 5844 668 318 162 150 \n", - "9 : 5766 696 364 155 161 \n", - "10 : 5752 706 367 168 149 \n", - "11 : 5767 648 399 167 161 \n", - "12 : 5777 648 379 173 165 \n", - "13 : 5793 691 368 144 158 \n", + "0 : 5849 662 350 139 142 \n", + "1 : 5846 674 370 125 127 \n", + "2 : 5821 671 397 132 121 \n", + "3 : 5827 689 353 137 136 \n", + "4 : 5826 655 386 131 144 \n", + "5 : 5890 643 352 125 132 \n", + "6 : 5866 679 369 90 138 \n", + "7 : 5830 717 353 121 121 \n", + "8 : 5870 625 386 118 143 \n", + "9 : 5852 661 387 130 112 \n", + "10 : 5856 656 364 127 139 \n", + "11 : 5836 675 380 104 147 \n", + "12 : 5910 627 356 123 126 \n", + "13 : 5869 676 384 100 125 \n", "\n", - "T : 81075 9369 5198 2123 2235 [100000]\n", + "T : 81948 9310 5187 1702 1853 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.1248e-02 sec\n", - "--- Collate = 6.1662e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 5.4118e-02 sec\n", + "--- Collate = 1.1001e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.353176e-07 < 6.250000e-03 [1352]\n", - "--- Max DT=1.706254e+00 > 1.000000e-01 [69997]\n", + "--- Min DT=1.064398e-05 < 6.250000e-03 [1136]\n", + "--- Max DT=2.013595e+00 > 1.000000e-01 [68989]\n", "----------------------------------------------------------------------\n", - " Component | low: 1352/100000\n", - " Component | high: 69997/100000\n", + " Component | low: 1136/100000\n", + " Component | high: 68989/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=76] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000638597 [ 0.40 %]\n", - "Velocity : 0.00225651 [ 1.42 %]\n", - "Force : 0.058669 [ 36.93 %]\n", - "Coefs : 0.0234261 [ 14.75 %]\n", - "Output : 0.00572271 [ 3.60 %]\n", - "Levels : 0.000255418 [ 0.16 %]\n", - "Report : 1.514e-06 [ 0.00 %]\n", - "Balance : 5.41e-07 [ 0.00 %]\n", - "Adjust : 0.0678393 [ 42.71 %]\n", - "Total : 0.158855 [100.00 %]\n", + "Drift : 0.000665981 [ 0.02 %]\n", + "Velocity : 0.00464202 [ 0.13 %]\n", + "Force : 0.605677 [ 17.36 %]\n", + "Coefs : 2.08896 [ 59.88 %]\n", + "Output : 0.0133193 [ 0.38 %]\n", + "Levels : 0.000380159 [ 0.01 %]\n", + "Report : 1.407e-06 [ 0.00 %]\n", + "Balance : 5.17e-07 [ 0.00 %]\n", + "Adjust : 0.775158 [ 22.22 %]\n", + "Total : 3.48886 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5801 708 320 138 175 \n", - "1 : 5804 670 377 147 144 \n", - "2 : 5766 681 392 151 152 \n", - "3 : 5802 657 381 155 147 \n", - "4 : 5723 681 411 149 178 \n", - "5 : 5838 631 379 144 150 \n", - "6 : 5853 617 363 140 169 \n", - "7 : 5781 672 367 155 167 \n", - "8 : 5842 673 322 146 159 \n", - "9 : 5765 695 370 152 160 \n", - "10 : 5754 711 358 167 152 \n", - "11 : 5765 646 402 173 156 \n", - "12 : 5772 664 376 168 162 \n", - "13 : 5790 685 369 150 160 \n", + "0 : 5847 667 348 140 140 \n", + "1 : 5848 683 360 121 130 \n", + "2 : 5824 664 400 131 123 \n", + "3 : 5827 698 346 138 133 \n", + "4 : 5820 654 392 141 135 \n", + "5 : 5889 641 355 130 127 \n", + "6 : 5866 674 363 105 134 \n", + "7 : 5829 718 353 112 130 \n", + "8 : 5864 625 390 120 143 \n", + "9 : 5851 666 385 123 117 \n", + "10 : 5855 654 368 125 140 \n", + "11 : 5830 687 375 105 145 \n", + "12 : 5914 624 357 117 130 \n", + "13 : 5866 684 380 100 124 \n", "\n", - "T : 81056 9391 5187 2135 2231 [100000]\n", + "T : 81930 9339 5172 1708 1851 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.0514e-02 sec\n", - "--- Collate = 6.8953e-05 sec\n", + "--- Coef/DT = 2.2%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 5.4442e-02 sec\n", + "--- Collate = 5.0242e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.933897e-06 < 6.250000e-03 [1366]\n", - "--- Max DT=1.712758e+00 > 1.000000e-01 [70001]\n", + "--- Min DT=1.798147e-06 < 6.250000e-03 [1078]\n", + "--- Max DT=2.020290e+00 > 1.000000e-01 [68991]\n", "----------------------------------------------------------------------\n", - " Component | low: 1366/100000\n", - " Component | high: 70001/100000\n", + " Component | low: 1078/100000\n", + " Component | high: 68991/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=76.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000807502 [ 0.54 %]\n", - "Velocity : 0.00234539 [ 1.56 %]\n", - "Force : 0.0578689 [ 38.55 %]\n", - "Coefs : 0.0233617 [ 15.56 %]\n", - "Output : 0.000737173 [ 0.49 %]\n", - "Levels : 0.000231091 [ 0.15 %]\n", - "Report : 1.088e-06 [ 0.00 %]\n", - "Balance : 3.83e-07 [ 0.00 %]\n", - "Adjust : 0.0647059 [ 43.11 %]\n", - "Total : 0.150101 [100.00 %]\n", + "Drift : 0.000916383 [ 0.03 %]\n", + "Velocity : 0.00362007 [ 0.12 %]\n", + "Force : 0.571067 [ 19.06 %]\n", + "Coefs : 1.8007 [ 60.11 %]\n", + "Output : 0.00155714 [ 0.05 %]\n", + "Levels : 0.000307069 [ 0.01 %]\n", + "Report : 7.37e-07 [ 0.00 %]\n", + "Balance : 3.3e-07 [ 0.00 %]\n", + "Adjust : 0.617618 [ 20.62 %]\n", + "Total : 2.99584 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5801 710 313 142 176 \n", - "1 : 5797 676 370 151 148 \n", - "2 : 5769 679 394 150 150 \n", - "3 : 5803 655 377 154 153 \n", - "4 : 5726 678 411 149 178 \n", - "5 : 5838 625 385 151 143 \n", - "6 : 5851 612 368 146 165 \n", - "7 : 5783 666 378 151 164 \n", - "8 : 5843 672 327 142 158 \n", - "9 : 5772 692 368 150 160 \n", - "10 : 5760 713 356 156 157 \n", - "11 : 5768 645 421 149 159 \n", - "12 : 5778 654 375 161 174 \n", - "13 : 5787 694 363 155 155 \n", + "0 : 5844 670 356 131 141 \n", + "1 : 5842 689 359 117 135 \n", + "2 : 5826 665 402 126 123 \n", + "3 : 5827 696 345 148 126 \n", + "4 : 5822 656 389 129 146 \n", + "5 : 5891 634 367 119 131 \n", + "6 : 5872 677 345 122 126 \n", + "7 : 5828 719 351 110 134 \n", + "8 : 5858 639 386 107 152 \n", + "9 : 5851 667 396 111 117 \n", + "10 : 5855 659 360 121 147 \n", + "11 : 5838 683 369 108 144 \n", + "12 : 5917 620 359 113 133 \n", + "13 : 5871 679 381 104 119 \n", "\n", - "T : 81076 9371 5206 2107 2240 [100000]\n", + "T : 81942 9353 5165 1666 1874 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0248e-02 sec\n", - "--- Collate = 6.7692e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 5.2842e-02 sec\n", + "--- Collate = 1.0034e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.273182e-07 < 6.250000e-03 [1321]\n", - "--- Max DT=1.719265e+00 > 1.000000e-01 [70001]\n", + "--- Min DT=2.269180e-07 < 6.250000e-03 [1071]\n", + "--- Max DT=2.026988e+00 > 1.000000e-01 [69001]\n", "----------------------------------------------------------------------\n", - " Component | low: 1321/100000\n", - " Component | high: 70001/100000\n", + " Component | low: 1071/100000\n", + " Component | high: 69001/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=76.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000617384 [ 0.41 %]\n", - "Velocity : 0.00205962 [ 1.37 %]\n", - "Force : 0.0580904 [ 38.56 %]\n", - "Coefs : 0.023789 [ 15.79 %]\n", - "Output : 0.00086336 [ 0.57 %]\n", - "Levels : 0.000193459 [ 0.13 %]\n", - "Report : 1.133e-06 [ 0.00 %]\n", - "Balance : 4.75e-07 [ 0.00 %]\n", - "Adjust : 0.0649862 [ 43.14 %]\n", - "Total : 0.150646 [100.00 %]\n", + "Drift : 0.000589124 [ 0.02 %]\n", + "Velocity : 0.00353038 [ 0.11 %]\n", + "Force : 0.562286 [ 16.95 %]\n", + "Coefs : 2.02101 [ 60.93 %]\n", + "Output : 0.00159852 [ 0.05 %]\n", + "Levels : 0.000264671 [ 0.01 %]\n", + "Report : 5.46e-07 [ 0.00 %]\n", + "Balance : 2.7e-07 [ 0.00 %]\n", + "Adjust : 0.727727 [ 21.94 %]\n", + "Total : 3.31706 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5801 709 323 140 169 \n", - "1 : 5796 673 371 158 144 \n", - "2 : 5765 683 396 150 148 \n", - "3 : 5798 659 380 149 156 \n", - "4 : 5725 676 398 155 188 \n", - "5 : 5840 626 390 139 147 \n", - "6 : 5851 611 361 147 172 \n", - "7 : 5791 659 383 146 163 \n", - "8 : 5839 675 325 147 156 \n", - "9 : 5767 699 366 144 166 \n", - "10 : 5757 710 351 165 159 \n", - "11 : 5757 664 421 137 163 \n", - "12 : 5770 663 375 163 171 \n", - "13 : 5781 700 369 148 156 \n", + "0 : 5837 681 359 127 138 \n", + "1 : 5843 689 363 115 132 \n", + "2 : 5823 663 397 143 116 \n", + "3 : 5831 685 358 140 128 \n", + "4 : 5815 672 375 127 153 \n", + "5 : 5891 634 360 134 123 \n", + "6 : 5869 680 343 129 121 \n", + "7 : 5829 718 341 122 132 \n", + "8 : 5850 648 377 116 151 \n", + "9 : 5856 663 386 120 117 \n", + "10 : 5857 651 367 120 147 \n", + "11 : 5825 699 363 111 144 \n", + "12 : 5918 622 359 109 134 \n", + "13 : 5867 689 372 103 123 \n", "\n", - "T : 81038 9407 5209 2088 2258 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81911 9394 5120 1716 1859 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.7%\n", - "--- Adj/Tot = 2.4%\n", - "--- Update = 1.0479e-02 sec\n", - "--- Collate = 8.5936e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 6.0880e-02 sec\n", + "--- Collate = 3.3225e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.374266e-06 < 6.250000e-03 [1320]\n", - "--- Max DT=1.725775e+00 > 1.000000e-01 [70008]\n", + "--- Min DT=9.258482e-07 < 6.250000e-03 [1105]\n", + "--- Max DT=2.033689e+00 > 1.000000e-01 [68987]\n", "----------------------------------------------------------------------\n", - " Component | low: 1320/100000\n", - " Component | high: 70008/100000\n", + " Component | low: 1105/100000\n", + " Component | high: 68987/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=76.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000680754 [ 0.46 %]\n", - "Velocity : 0.0018656 [ 1.25 %]\n", - "Force : 0.0576633 [ 38.66 %]\n", - "Coefs : 0.0239031 [ 16.02 %]\n", - "Output : 0.000620223 [ 0.42 %]\n", - "Levels : 0.000220313 [ 0.15 %]\n", - "Report : 1.182e-06 [ 0.00 %]\n", - "Balance : 2.75e-07 [ 0.00 %]\n", - "Adjust : 0.0641649 [ 43.02 %]\n", - "Total : 0.149162 [100.00 %]\n", + "Drift : 0.00103258 [ 0.03 %]\n", + "Velocity : 0.00378667 [ 0.12 %]\n", + "Force : 0.475353 [ 15.19 %]\n", + "Coefs : 1.99748 [ 63.82 %]\n", + "Output : 0.0013735 [ 0.04 %]\n", + "Levels : 0.000345059 [ 0.01 %]\n", + "Report : 9.88e-07 [ 0.00 %]\n", + "Balance : 3.38e-07 [ 0.00 %]\n", + "Adjust : 0.650398 [ 20.78 %]\n", + "Total : 3.12982 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5802 708 319 142 171 \n", - "1 : 5792 682 377 139 152 \n", - "2 : 5760 681 406 147 148 \n", - "3 : 5797 658 375 158 154 \n", - "4 : 5728 666 403 159 186 \n", - "5 : 5841 627 379 149 146 \n", - "6 : 5843 619 366 146 168 \n", - "7 : 5786 668 383 134 171 \n", - "8 : 5844 668 329 145 156 \n", - "9 : 5767 697 367 144 167 \n", - "10 : 5758 705 352 169 158 \n", - "11 : 5751 673 413 142 163 \n", - "12 : 5772 667 368 165 170 \n", - "13 : 5776 720 351 137 170 \n", + "0 : 5835 681 363 128 135 \n", + "1 : 5843 686 362 111 140 \n", + "2 : 5823 666 389 145 119 \n", + "3 : 5828 689 367 129 129 \n", + "4 : 5811 675 378 114 164 \n", + "5 : 5890 632 359 131 130 \n", + "6 : 5867 681 340 125 129 \n", + "7 : 5832 709 340 135 126 \n", + "8 : 5848 645 385 119 145 \n", + "9 : 5854 662 381 119 126 \n", + "10 : 5847 663 364 123 145 \n", + "11 : 5823 697 364 118 140 \n", + "12 : 5916 621 363 104 138 \n", + "13 : 5866 689 365 115 119 \n", "\n", - "T : 81017 9439 5188 2076 2280 [100000]\n", + "T : 81883 9396 5120 1716 1885 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0183e-02 sec\n", - "--- Collate = 6.4661e-05 sec\n", + "--- Coef/DT = 2.4%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 4.0172e-02 sec\n", + "--- Collate = 3.0419e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.934442e-06 < 6.250000e-03 [1347]\n", - "--- Max DT=1.732289e+00 > 1.000000e-01 [70033]\n", + "--- Min DT=1.290942e-06 < 6.250000e-03 [1089]\n", + "--- Max DT=2.040393e+00 > 1.000000e-01 [68969]\n", "----------------------------------------------------------------------\n", - " Component | low: 1347/100000\n", - " Component | high: 70033/100000\n", + " Component | low: 1089/100000\n", + " Component | high: 68969/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=76.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000438064 [ 0.29 %]\n", - "Velocity : 0.00205998 [ 1.36 %]\n", - "Force : 0.05835 [ 38.63 %]\n", - "Coefs : 0.0233665 [ 15.47 %]\n", - "Output : 0.00105026 [ 0.70 %]\n", - "Levels : 0.000211659 [ 0.14 %]\n", - "Report : 1.259e-06 [ 0.00 %]\n", - "Balance : 3.75e-07 [ 0.00 %]\n", - "Adjust : 0.0655084 [ 43.37 %]\n", - "Total : 0.151032 [100.00 %]\n", + "Drift : 0.000929108 [ 0.03 %]\n", + "Velocity : 0.00355177 [ 0.12 %]\n", + "Force : 0.488795 [ 16.33 %]\n", + "Coefs : 1.86666 [ 62.38 %]\n", + "Output : 0.00158157 [ 0.05 %]\n", + "Levels : 0.000259351 [ 0.01 %]\n", + "Report : 8.27e-07 [ 0.00 %]\n", + "Balance : 2.73e-07 [ 0.00 %]\n", + "Adjust : 0.630588 [ 21.07 %]\n", + "Total : 2.99242 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5805 701 322 144 170 \n", - "1 : 5787 684 388 135 148 \n", - "2 : 5760 678 410 140 154 \n", - "3 : 5796 654 382 157 153 \n", - "4 : 5726 666 407 168 175 \n", - "5 : 5835 626 384 149 148 \n", - "6 : 5848 617 366 147 164 \n", - "7 : 5787 660 389 132 174 \n", - "8 : 5843 666 326 151 156 \n", - "9 : 5765 687 375 150 165 \n", - "10 : 5763 703 349 162 165 \n", - "11 : 5747 676 409 146 164 \n", - "12 : 5774 661 374 166 167 \n", - "13 : 5779 710 360 140 165 \n", + "0 : 5835 676 372 125 134 \n", + "1 : 5844 686 360 121 131 \n", + "2 : 5821 671 382 149 119 \n", + "3 : 5828 687 372 122 133 \n", + "4 : 5813 672 376 126 155 \n", + "5 : 5894 630 364 131 123 \n", + "6 : 5866 682 339 129 126 \n", + "7 : 5837 701 342 138 124 \n", + "8 : 5853 638 388 127 136 \n", + "9 : 5858 662 372 124 126 \n", + "10 : 5847 657 373 125 140 \n", + "11 : 5826 695 366 112 143 \n", + "12 : 5917 621 362 108 134 \n", + "13 : 5871 688 364 117 114 \n", "\n", - "T : 81015 9389 5241 2087 2268 [100000]\n", + "T : 81910 9366 5132 1754 1838 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0174e-02 sec\n", - "--- Collate = 6.5539e-05 sec\n", + "--- Coef/DT = 32.8%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 5.4071e-02 sec\n", + "--- Collate = 6.0282e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.336445e-07 < 6.250000e-03 [1336]\n", - "--- Max DT=1.738806e+00 > 1.000000e-01 [70032]\n", + "--- Min DT=1.120018e-05 < 6.250000e-03 [1105]\n", + "--- Max DT=2.047099e+00 > 1.000000e-01 [68971]\n", "----------------------------------------------------------------------\n", - " Component | low: 1336/100000\n", - " Component | high: 70032/100000\n", + " Component | low: 1105/100000\n", + " Component | high: 68971/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=76.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000608337 [ 0.41 %]\n", - "Velocity : 0.00201754 [ 1.35 %]\n", - "Force : 0.0581066 [ 38.85 %]\n", - "Coefs : 0.0234846 [ 15.70 %]\n", - "Output : 0.000795789 [ 0.53 %]\n", - "Levels : 0.00019398 [ 0.13 %]\n", - "Report : 1.262e-06 [ 0.00 %]\n", - "Balance : 3.74e-07 [ 0.00 %]\n", - "Adjust : 0.0643181 [ 43.00 %]\n", - "Total : 0.149566 [100.00 %]\n", + "Drift : 0.000943991 [ 0.03 %]\n", + "Velocity : 0.00359603 [ 0.11 %]\n", + "Force : 0.557515 [ 16.71 %]\n", + "Coefs : 2.1126 [ 63.33 %]\n", + "Output : 0.0015238 [ 0.05 %]\n", + "Levels : 0.00032655 [ 0.01 %]\n", + "Report : 8.46e-07 [ 0.00 %]\n", + "Balance : 3.16e-07 [ 0.00 %]\n", + "Adjust : 0.659385 [ 19.77 %]\n", + "Total : 3.33594 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5806 683 344 140 169 \n", - "1 : 5785 682 387 144 144 \n", - "2 : 5755 693 401 143 150 \n", - "3 : 5802 656 370 158 156 \n", - "4 : 5727 656 408 184 167 \n", - "5 : 5843 615 386 152 146 \n", - "6 : 5844 614 380 147 157 \n", - "7 : 5782 665 388 131 176 \n", - "8 : 5836 666 336 155 149 \n", - "9 : 5762 684 387 144 165 \n", - "10 : 5764 702 351 149 176 \n", - "11 : 5747 675 400 154 166 \n", - "12 : 5774 657 382 158 171 \n", - "13 : 5784 702 364 136 168 \n", + "0 : 5839 669 377 129 128 \n", + "1 : 5845 688 362 123 124 \n", + "2 : 5828 658 386 157 113 \n", + "3 : 5824 685 383 113 137 \n", + "4 : 5805 689 375 121 152 \n", + "5 : 5894 629 363 130 126 \n", + "6 : 5865 682 339 129 127 \n", + "7 : 5836 702 343 134 127 \n", + "8 : 5851 648 380 120 143 \n", + "9 : 5861 667 364 121 129 \n", + "10 : 5847 656 378 126 135 \n", + "11 : 5827 701 355 121 138 \n", + "12 : 5921 611 373 107 130 \n", + "13 : 5870 690 366 125 103 \n", "\n", - "T : 81011 9350 5284 2095 2260 [100000]\n", + "T : 81913 9375 5144 1756 1812 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.0147e-02 sec\n", - "--- Collate = 6.8411e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 7.2432e-02 sec\n", + "--- Collate = 8.0307e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.868442e-07 < 6.250000e-03 [1359]\n", - "--- Max DT=1.745326e+00 > 1.000000e-01 [70031]\n", + "--- Min DT=6.573375e-06 < 6.250000e-03 [1101]\n", + "--- Max DT=2.053808e+00 > 1.000000e-01 [68978]\n", "----------------------------------------------------------------------\n", - " Component | low: 1359/100000\n", - " Component | high: 70031/100000\n", + " Component | low: 1101/100000\n", + " Component | high: 68978/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=76.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000660713 [ 0.44 %]\n", - "Velocity : 0.00202864 [ 1.34 %]\n", - "Force : 0.059102 [ 39.03 %]\n", - "Coefs : 0.0242028 [ 15.98 %]\n", - "Output : 0.000733329 [ 0.48 %]\n", - "Levels : 0.000173456 [ 0.11 %]\n", - "Report : 1.166e-06 [ 0.00 %]\n", - "Balance : 3.85e-07 [ 0.00 %]\n", - "Adjust : 0.0644882 [ 42.59 %]\n", - "Total : 0.151431 [100.00 %]\n", + "Drift : 0.000822597 [ 0.02 %]\n", + "Velocity : 0.00305195 [ 0.08 %]\n", + "Force : 0.635477 [ 17.23 %]\n", + "Coefs : 2.26326 [ 61.35 %]\n", + "Output : 0.00147758 [ 0.04 %]\n", + "Levels : 0.000788486 [ 0.02 %]\n", + "Report : 7.6e-07 [ 0.00 %]\n", + "Balance : 2.96e-07 [ 0.00 %]\n", + "Adjust : 0.784198 [ 21.26 %]\n", + "Total : 3.68913 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5795 692 349 141 165 \n", - "1 : 5789 679 384 134 156 \n", - "2 : 5754 700 397 148 143 \n", - "3 : 5799 652 385 143 163 \n", - "4 : 5725 663 411 182 161 \n", - "5 : 5837 623 388 143 151 \n", - "6 : 5847 610 377 152 156 \n", - "7 : 5780 663 389 135 175 \n", - "8 : 5828 670 342 150 152 \n", - "9 : 5762 681 382 150 167 \n", - "10 : 5757 708 358 136 183 \n", - "11 : 5745 687 388 157 165 \n", - "12 : 5775 657 385 148 177 \n", - "13 : 5786 696 363 139 170 \n", + "0 : 5835 681 365 130 131 \n", + "1 : 5841 689 363 126 123 \n", + "2 : 5829 667 391 148 107 \n", + "3 : 5829 680 379 118 136 \n", + "4 : 5805 688 372 127 150 \n", + "5 : 5892 636 363 123 128 \n", + "6 : 5862 677 349 123 131 \n", + "7 : 5830 704 352 122 134 \n", + "8 : 5844 654 384 116 144 \n", + "9 : 5860 665 360 127 130 \n", + "10 : 5842 659 372 141 128 \n", + "11 : 5820 705 363 119 135 \n", + "12 : 5916 611 374 113 128 \n", + "13 : 5859 706 355 121 113 \n", "\n", - "T : 80979 9381 5298 2058 2284 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81864 9422 5142 1754 1818 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 9.8627e-03 sec\n", - "--- Collate = 6.0425e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 8.3327e-02 sec\n", + "--- Collate = 1.5029e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.824920e-07 < 6.250000e-03 [1344]\n", - "--- Max DT=1.751849e+00 > 1.000000e-01 [70016]\n", + "--- Min DT=2.531855e-06 < 6.250000e-03 [1094]\n", + "--- Max DT=2.060520e+00 > 1.000000e-01 [68973]\n", "----------------------------------------------------------------------\n", - " Component | low: 1344/100000\n", - " Component | high: 70016/100000\n", + " Component | low: 1094/100000\n", + " Component | high: 68973/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=76.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00046781 [ 0.32 %]\n", - "Velocity : 0.00172773 [ 1.18 %]\n", - "Force : 0.0571785 [ 39.13 %]\n", - "Coefs : 0.0225577 [ 15.44 %]\n", - "Output : 0.000596995 [ 0.41 %]\n", - "Levels : 0.000201981 [ 0.14 %]\n", - "Report : 1.068e-06 [ 0.00 %]\n", - "Balance : 2.73e-07 [ 0.00 %]\n", - "Adjust : 0.0633562 [ 43.36 %]\n", - "Total : 0.146127 [100.00 %]\n", + "Drift : 0.000982459 [ 0.03 %]\n", + "Velocity : 0.00327799 [ 0.09 %]\n", + "Force : 0.576158 [ 15.42 %]\n", + "Coefs : 2.42025 [ 64.76 %]\n", + "Output : 0.00155468 [ 0.04 %]\n", + "Levels : 0.000338152 [ 0.01 %]\n", + "Report : 6.04e-07 [ 0.00 %]\n", + "Balance : 4.5e-07 [ 0.00 %]\n", + "Adjust : 0.734642 [ 19.66 %]\n", + "Total : 3.73726 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5794 685 364 140 159 \n", - "1 : 5786 681 391 129 155 \n", - "2 : 5754 695 391 159 143 \n", - "3 : 5795 658 386 137 166 \n", - "4 : 5723 661 420 181 157 \n", - "5 : 5841 629 374 148 150 \n", - "6 : 5844 606 369 166 157 \n", - "7 : 5778 660 404 133 167 \n", - "8 : 5830 669 342 156 145 \n", - "9 : 5757 683 382 159 161 \n", - "10 : 5752 715 351 148 176 \n", - "11 : 5749 677 390 154 172 \n", - "12 : 5773 655 393 149 172 \n", - "13 : 5789 699 362 138 166 \n", + "0 : 5837 677 372 121 135 \n", + "1 : 5841 684 373 122 122 \n", + "2 : 5831 661 390 146 114 \n", + "3 : 5832 670 388 107 145 \n", + "4 : 5805 684 370 131 152 \n", + "5 : 5885 635 365 123 134 \n", + "6 : 5865 670 348 120 139 \n", + "7 : 5827 708 354 114 139 \n", + "8 : 5847 640 396 111 148 \n", + "9 : 5860 662 369 109 142 \n", + "10 : 5846 660 382 123 131 \n", + "11 : 5823 700 369 105 145 \n", + "12 : 5917 609 374 110 132 \n", + "13 : 5860 701 357 128 108 \n", "\n", - "T : 80965 9373 5319 2097 2246 [100000]\n", + "T : 81876 9361 5207 1670 1886 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 9.4219e-03 sec\n", - "--- Collate = 7.0159e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 3.3385e-02 sec\n", + "--- Collate = 8.0246e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.733065e-06 < 6.250000e-03 [1351]\n", - "--- Max DT=1.758376e+00 > 1.000000e-01 [70011]\n", + "--- Min DT=6.264549e-07 < 6.250000e-03 [1088]\n", + "--- Max DT=2.067235e+00 > 1.000000e-01 [68971]\n", "----------------------------------------------------------------------\n", - " Component | low: 1351/100000\n", - " Component | high: 70011/100000\n", + " Component | low: 1088/100000\n", + " Component | high: 68971/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=76.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000481624 [ 0.32 %]\n", - "Velocity : 0.00218755 [ 1.47 %]\n", - "Force : 0.058136 [ 39.08 %]\n", - "Coefs : 0.0229705 [ 15.44 %]\n", - "Output : 0.000811322 [ 0.55 %]\n", - "Levels : 0.000198675 [ 0.13 %]\n", - "Report : 1.236e-06 [ 0.00 %]\n", - "Balance : 3.54e-07 [ 0.00 %]\n", - "Adjust : 0.0639377 [ 42.98 %]\n", - "Total : 0.148768 [100.00 %]\n", + "Drift : 0.000594386 [ 0.01 %]\n", + "Velocity : 0.00694692 [ 0.16 %]\n", + "Force : 0.788442 [ 18.59 %]\n", + "Coefs : 2.6766 [ 63.11 %]\n", + "Output : 0.00151567 [ 0.04 %]\n", + "Levels : 0.000257697 [ 0.01 %]\n", + "Report : 9.2e-07 [ 0.00 %]\n", + "Balance : 2.51e-07 [ 0.00 %]\n", + "Adjust : 0.766524 [ 18.07 %]\n", + "Total : 4.24093 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5790 689 367 135 161 \n", - "1 : 5783 695 377 129 158 \n", - "2 : 5755 690 396 162 139 \n", - "3 : 5801 646 387 150 158 \n", - "4 : 5729 661 422 171 159 \n", - "5 : 5838 634 373 150 147 \n", - "6 : 5839 607 367 172 157 \n", - "7 : 5774 657 416 129 166 \n", - "8 : 5826 665 349 163 139 \n", - "9 : 5755 684 385 152 166 \n", - "10 : 5752 716 349 152 173 \n", - "11 : 5742 679 389 159 173 \n", - "12 : 5773 652 394 141 182 \n", - "13 : 5792 693 362 141 166 \n", + "0 : 5833 693 361 118 137 \n", + "1 : 5845 683 366 118 130 \n", + "2 : 5834 658 389 134 127 \n", + "3 : 5823 676 388 108 147 \n", + "4 : 5801 687 372 129 153 \n", + "5 : 5881 646 364 119 132 \n", + "6 : 5857 682 349 118 136 \n", + "7 : 5839 701 346 120 136 \n", + "8 : 5853 641 385 119 144 \n", + "9 : 5867 657 367 109 142 \n", + "10 : 5844 667 374 130 127 \n", + "11 : 5819 700 367 112 144 \n", + "12 : 5916 610 373 120 123 \n", + "13 : 5857 694 370 127 106 \n", "\n", - "T : 80949 9368 5333 2106 2244 [100000]\n", + "T : 81869 9395 5171 1681 1884 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 9.9554e-03 sec\n", - "--- Collate = 6.2777e-05 sec\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 5.6199e-02 sec\n", + "--- Collate = 1.2010e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.314245e-06 < 6.250000e-03 [1355]\n", - "--- Max DT=1.764905e+00 > 1.000000e-01 [70008]\n", + "--- Min DT=2.906622e-06 < 6.250000e-03 [1102]\n", + "--- Max DT=2.073952e+00 > 1.000000e-01 [68964]\n", "----------------------------------------------------------------------\n", - " Component | low: 1355/100000\n", - " Component | high: 70008/100000\n", + " Component | low: 1102/100000\n", + " Component | high: 68964/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=76.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000620765 [ 0.43 %]\n", - "Velocity : 0.00201366 [ 1.38 %]\n", - "Force : 0.0567789 [ 38.88 %]\n", - "Coefs : 0.0230067 [ 15.76 %]\n", - "Output : 0.000774607 [ 0.53 %]\n", - "Levels : 0.000185552 [ 0.13 %]\n", - "Report : 1.198e-06 [ 0.00 %]\n", - "Balance : 4.7e-07 [ 0.00 %]\n", - "Adjust : 0.0625938 [ 42.87 %]\n", - "Total : 0.14602 [100.00 %]\n", + "Drift : 0.000729676 [ 0.02 %]\n", + "Velocity : 0.00280607 [ 0.07 %]\n", + "Force : 0.653208 [ 16.83 %]\n", + "Coefs : 2.42179 [ 62.40 %]\n", + "Output : 0.00146369 [ 0.04 %]\n", + "Levels : 0.000311939 [ 0.01 %]\n", + "Report : 6.97e-07 [ 0.00 %]\n", + "Balance : 2.7e-07 [ 0.00 %]\n", + "Adjust : 0.80041 [ 20.63 %]\n", + "Total : 3.88077 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5792 686 370 125 169 \n", - "1 : 5782 696 373 133 158 \n", - "2 : 5750 698 388 163 143 \n", - "3 : 5799 651 379 153 160 \n", - "4 : 5728 664 415 170 165 \n", - "5 : 5835 633 375 152 147 \n", - "6 : 5834 610 374 171 153 \n", - "7 : 5771 659 414 134 164 \n", - "8 : 5824 666 355 154 143 \n", - "9 : 5751 690 376 157 168 \n", - "10 : 5745 721 350 156 170 \n", - "11 : 5736 681 395 159 171 \n", - "12 : 5768 662 386 149 177 \n", - "13 : 5791 686 376 137 164 \n", + "0 : 5834 689 366 121 132 \n", + "1 : 5848 687 370 114 123 \n", + "2 : 5833 661 396 121 131 \n", + "3 : 5824 677 384 112 145 \n", + "4 : 5804 684 377 127 150 \n", + "5 : 5879 650 364 114 135 \n", + "6 : 5859 680 360 108 135 \n", + "7 : 5836 701 349 125 131 \n", + "8 : 5855 643 382 114 148 \n", + "9 : 5864 661 365 109 143 \n", + "10 : 5848 673 366 122 133 \n", + "11 : 5818 695 377 116 136 \n", + "12 : 5913 615 365 124 125 \n", + "13 : 5861 692 365 124 112 \n", "\n", - "T : 80906 9403 5326 2113 2252 [100000]\n", + "T : 81876 9408 5186 1651 1879 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.0317e-02 sec\n", - "--- Collate = 6.2403e-05 sec\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 4.0277e-02 sec\n", + "--- Collate = 6.0387e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.319269e-06 < 6.250000e-03 [1351]\n", - "--- Max DT=1.771438e+00 > 1.000000e-01 [70008]\n", + "--- Min DT=2.766428e-06 < 6.250000e-03 [1083]\n", + "--- Max DT=2.080673e+00 > 1.000000e-01 [68960]\n", "----------------------------------------------------------------------\n", - " Component | low: 1351/100000\n", - " Component | high: 70008/100000\n", + " Component | low: 1083/100000\n", + " Component | high: 68960/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=77] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0006172 [ 0.40 %]\n", - "Velocity : 0.00243738 [ 1.57 %]\n", - "Force : 0.0584471 [ 37.59 %]\n", - "Coefs : 0.0225303 [ 14.49 %]\n", - "Output : 0.00586477 [ 3.77 %]\n", - "Levels : 0.00022566 [ 0.15 %]\n", - "Report : 1.45e-06 [ 0.00 %]\n", - "Balance : 6.49e-07 [ 0.00 %]\n", - "Adjust : 0.0653205 [ 42.01 %]\n", - "Total : 0.155492 [100.00 %]\n", + "Drift : 0.000523369 [ 0.01 %]\n", + "Velocity : 0.00296029 [ 0.07 %]\n", + "Force : 0.71023 [ 17.66 %]\n", + "Coefs : 2.46563 [ 61.30 %]\n", + "Output : 0.0104931 [ 0.26 %]\n", + "Levels : 0.000277327 [ 0.01 %]\n", + "Report : 8.42e-07 [ 0.00 %]\n", + "Balance : 5.34e-07 [ 0.00 %]\n", + "Adjust : 0.832201 [ 20.69 %]\n", + "Total : 4.02237 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5793 677 379 123 170 \n", - "1 : 5778 695 380 136 153 \n", - "2 : 5749 703 378 163 149 \n", - "3 : 5795 650 389 157 151 \n", - "4 : 5728 662 415 180 157 \n", - "5 : 5843 621 375 145 158 \n", - "6 : 5839 603 376 165 159 \n", - "7 : 5770 666 415 140 151 \n", - "8 : 5826 657 356 161 142 \n", - "9 : 5745 682 390 160 165 \n", - "10 : 5743 723 342 168 166 \n", - "11 : 5731 677 410 153 171 \n", - "12 : 5768 657 393 157 167 \n", - "13 : 5789 680 394 134 157 \n", + "0 : 5834 679 367 129 133 \n", + "1 : 5848 688 365 117 124 \n", + "2 : 5829 662 393 120 138 \n", + "3 : 5826 683 379 113 141 \n", + "4 : 5809 681 374 124 154 \n", + "5 : 5882 655 360 117 128 \n", + "6 : 5851 688 353 116 134 \n", + "7 : 5841 693 357 121 130 \n", + "8 : 5853 645 382 118 144 \n", + "9 : 5870 654 358 121 139 \n", + "10 : 5850 672 362 124 134 \n", + "11 : 5813 695 379 121 134 \n", + "12 : 5914 619 360 126 123 \n", + "13 : 5855 699 361 119 120 \n", "\n", - "T : 80897 9353 5392 2142 2216 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81875 9413 5150 1686 1876 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.0669e-02 sec\n", - "--- Collate = 7.8206e-05 sec\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 5.5415e-02 sec\n", + "--- Collate = 5.0302e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.085561e-07 < 6.250000e-03 [1328]\n", - "--- Max DT=1.777974e+00 > 1.000000e-01 [69999]\n", + "--- Min DT=3.509816e-06 < 6.250000e-03 [1086]\n", + "--- Max DT=2.087396e+00 > 1.000000e-01 [68966]\n", "----------------------------------------------------------------------\n", - " Component | low: 1328/100000\n", - " Component | high: 69999/100000\n", + " Component | low: 1086/100000\n", + " Component | high: 68966/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=77.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000733263 [ 0.45 %]\n", - "Velocity : 0.00332855 [ 2.05 %]\n", - "Force : 0.0618996 [ 38.12 %]\n", - "Coefs : 0.0233524 [ 14.38 %]\n", - "Output : 0.00110339 [ 0.68 %]\n", - "Levels : 0.000246374 [ 0.15 %]\n", - "Report : 1.17e-06 [ 0.00 %]\n", - "Balance : 5.01e-07 [ 0.00 %]\n", - "Adjust : 0.0716728 [ 44.13 %]\n", - "Total : 0.1624 [100.00 %]\n", + "Drift : 0.000809891 [ 0.02 %]\n", + "Velocity : 0.00710464 [ 0.21 %]\n", + "Force : 0.537494 [ 15.79 %]\n", + "Coefs : 2.08275 [ 61.18 %]\n", + "Output : 0.00144863 [ 0.04 %]\n", + "Levels : 0.000789466 [ 0.02 %]\n", + "Report : 8.24e-07 [ 0.00 %]\n", + "Balance : 2.86e-07 [ 0.00 %]\n", + "Adjust : 0.774031 [ 22.74 %]\n", + "Total : 3.40448 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5799 681 367 126 169 \n", - "1 : 5779 691 376 141 155 \n", - "2 : 5753 691 378 169 151 \n", - "3 : 5793 646 396 164 143 \n", - "4 : 5729 658 427 181 147 \n", - "5 : 5834 621 387 145 155 \n", - "6 : 5839 597 394 156 156 \n", - "7 : 5767 670 414 139 152 \n", - "8 : 5823 655 367 149 148 \n", - "9 : 5745 680 390 172 155 \n", - "10 : 5742 722 354 156 168 \n", - "11 : 5730 686 400 149 177 \n", - "12 : 5772 656 387 153 174 \n", - "13 : 5793 681 395 129 156 \n", + "0 : 5835 675 369 129 134 \n", + "1 : 5844 689 366 115 128 \n", + "2 : 5825 665 400 118 134 \n", + "3 : 5820 689 375 128 130 \n", + "4 : 5808 684 368 137 145 \n", + "5 : 5880 653 367 112 130 \n", + "6 : 5855 681 367 106 133 \n", + "7 : 5841 695 357 122 127 \n", + "8 : 5855 645 376 121 145 \n", + "9 : 5871 652 359 121 139 \n", + "10 : 5849 673 362 126 132 \n", + "11 : 5808 708 381 116 129 \n", + "12 : 5916 608 369 123 126 \n", + "13 : 5856 689 370 129 110 \n", "\n", - "T : 80898 9335 5432 2129 2206 [100000]\n", + "T : 81863 9406 5186 1703 1842 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 8.0%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.1181e-02 sec\n", - "--- Collate = 7.9367e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 6.8911e-02 sec\n", + "--- Collate = 5.3191e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.571412e-06 < 6.250000e-03 [1321]\n", - "--- Max DT=1.784513e+00 > 1.000000e-01 [69994]\n", + "--- Min DT=1.022382e-05 < 6.250000e-03 [1056]\n", + "--- Max DT=2.094122e+00 > 1.000000e-01 [68960]\n", "----------------------------------------------------------------------\n", - " Component | low: 1321/100000\n", - " Component | high: 69994/100000\n", + " Component | low: 1056/100000\n", + " Component | high: 68960/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=77.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000907868 [ 0.44 %]\n", - "Velocity : 0.0032876 [ 1.60 %]\n", - "Force : 0.0743904 [ 36.27 %]\n", - "Coefs : 0.0280184 [ 13.66 %]\n", - "Output : 0.000942949 [ 0.46 %]\n", - "Levels : 0.00029144 [ 0.14 %]\n", - "Report : 1.456e-06 [ 0.00 %]\n", - "Balance : 7.29e-07 [ 0.00 %]\n", - "Adjust : 0.0972023 [ 47.39 %]\n", - "Total : 0.205098 [100.00 %]\n", + "Drift : 0.000886806 [ 0.02 %]\n", + "Velocity : 0.00361124 [ 0.09 %]\n", + "Force : 0.680851 [ 17.58 %]\n", + "Coefs : 2.37015 [ 61.19 %]\n", + "Output : 0.00154084 [ 0.04 %]\n", + "Levels : 0.000290237 [ 0.01 %]\n", + "Report : 7.69e-07 [ 0.00 %]\n", + "Balance : 3.39e-07 [ 0.00 %]\n", + "Adjust : 0.815839 [ 21.06 %]\n", + "Total : 3.87322 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5802 683 370 122 165 \n", - "1 : 5771 693 376 154 148 \n", - "2 : 5756 688 375 178 145 \n", - "3 : 5788 655 395 149 155 \n", - "4 : 5728 653 432 170 159 \n", - "5 : 5842 612 389 143 156 \n", - "6 : 5844 594 390 155 159 \n", - "7 : 5765 679 408 134 156 \n", - "8 : 5825 645 383 138 151 \n", - "9 : 5746 672 394 175 155 \n", - "10 : 5744 711 362 153 172 \n", - "11 : 5733 679 399 164 167 \n", - "12 : 5773 659 385 142 183 \n", - "13 : 5785 683 392 143 151 \n", + "0 : 5832 676 371 128 135 \n", + "1 : 5846 689 358 122 127 \n", + "2 : 5820 673 399 117 133 \n", + "3 : 5819 684 380 130 129 \n", + "4 : 5808 686 355 152 141 \n", + "5 : 5875 658 367 106 136 \n", + "6 : 5854 682 359 120 127 \n", + "7 : 5841 701 355 122 123 \n", + "8 : 5855 635 385 119 148 \n", + "9 : 5869 654 359 134 126 \n", + "10 : 5849 673 352 128 140 \n", + "11 : 5800 721 377 111 133 \n", + "12 : 5914 616 357 133 122 \n", + "13 : 5856 680 374 126 118 \n", "\n", - "T : 80902 9306 5450 2120 2222 [100000]\n", + "T : 81838 9428 5148 1748 1838 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.1421e-02 sec\n", - "--- Collate = 8.3878e-05 sec\n", + "--- Coef/DT = 31.2%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 7.1463e-02 sec\n", + "--- Collate = 1.2034e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.984556e-06 < 6.250000e-03 [1329]\n", - "--- Max DT=1.791055e+00 > 1.000000e-01 [69975]\n", + "--- Min DT=1.905178e-06 < 6.250000e-03 [1054]\n", + "--- Max DT=2.100850e+00 > 1.000000e-01 [68939]\n", "----------------------------------------------------------------------\n", - " Component | low: 1329/100000\n", - " Component | high: 69975/100000\n", + " Component | low: 1054/100000\n", + " Component | high: 68939/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=77.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00140059 [ 0.80 %]\n", - "Velocity : 0.00296559 [ 1.69 %]\n", - "Force : 0.0698446 [ 39.85 %]\n", - "Coefs : 0.027419 [ 15.64 %]\n", - "Output : 0.000909208 [ 0.52 %]\n", - "Levels : 0.000249287 [ 0.14 %]\n", - "Report : 1.098e-06 [ 0.00 %]\n", - "Balance : 6.04e-07 [ 0.00 %]\n", - "Adjust : 0.0724233 [ 41.32 %]\n", - "Total : 0.175273 [100.00 %]\n", + "Drift : 0.000936612 [ 0.02 %]\n", + "Velocity : 0.00282377 [ 0.07 %]\n", + "Force : 0.726137 [ 18.00 %]\n", + "Coefs : 2.43863 [ 60.46 %]\n", + "Output : 0.001441 [ 0.04 %]\n", + "Levels : 0.000290906 [ 0.01 %]\n", + "Report : 9.19e-07 [ 0.00 %]\n", + "Balance : 4.9e-07 [ 0.00 %]\n", + "Adjust : 0.863106 [ 21.40 %]\n", + "Total : 4.03342 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5796 693 364 131 158 \n", - "1 : 5777 684 381 153 147 \n", - "2 : 5756 688 370 182 146 \n", - "3 : 5794 644 405 145 154 \n", - "4 : 5732 649 440 156 165 \n", - "5 : 5841 613 386 148 154 \n", - "6 : 5835 611 376 158 162 \n", - "7 : 5765 679 404 142 152 \n", - "8 : 5822 641 387 143 149 \n", - "9 : 5750 665 396 170 161 \n", - "10 : 5744 717 359 152 170 \n", - "11 : 5735 684 394 152 177 \n", - "12 : 5770 667 380 133 192 \n", - "13 : 5782 682 397 144 149 \n", + "0 : 5827 676 384 125 130 \n", + "1 : 5842 690 365 120 125 \n", + "2 : 5815 682 396 129 120 \n", + "3 : 5817 685 377 136 127 \n", + "4 : 5812 686 352 152 140 \n", + "5 : 5874 658 362 116 132 \n", + "6 : 5857 687 358 117 123 \n", + "7 : 5841 699 357 122 123 \n", + "8 : 5850 644 376 128 144 \n", + "9 : 5872 647 366 125 132 \n", + "10 : 5842 674 367 124 135 \n", + "11 : 5800 722 372 117 131 \n", + "12 : 5917 620 348 136 121 \n", + "13 : 5857 685 360 137 115 \n", "\n", - "T : 80899 9317 5439 2109 2236 [100000]\n", + "T : 81823 9455 5140 1784 1798 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 1.1704e-02 sec\n", - "--- Collate = 1.0192e-04 sec\n", + "--- Coef/DT = 2.2%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 6.7374e-02 sec\n", + "--- Collate = 4.0496e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.638983e-06 < 6.250000e-03 [1355]\n", - "--- Max DT=1.797600e+00 > 1.000000e-01 [69983]\n", + "--- Min DT=7.671091e-07 < 6.250000e-03 [1041]\n", + "--- Max DT=2.107581e+00 > 1.000000e-01 [68940]\n", "----------------------------------------------------------------------\n", - " Component | low: 1355/100000\n", - " Component | high: 69983/100000\n", + " Component | low: 1041/100000\n", + " Component | high: 68940/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=77.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000532482 [ 0.31 %]\n", - "Velocity : 0.00294586 [ 1.72 %]\n", - "Force : 0.0665286 [ 38.84 %]\n", - "Coefs : 0.0259428 [ 15.15 %]\n", - "Output : 0.00102033 [ 0.60 %]\n", - "Levels : 0.00025081 [ 0.15 %]\n", - "Report : 1.298e-06 [ 0.00 %]\n", - "Balance : 6.86e-07 [ 0.00 %]\n", - "Adjust : 0.0739677 [ 43.19 %]\n", - "Total : 0.171271 [100.00 %]\n", + "Drift : 0.000582495 [ 0.01 %]\n", + "Velocity : 0.00264886 [ 0.06 %]\n", + "Force : 0.608935 [ 14.78 %]\n", + "Coefs : 2.71429 [ 65.86 %]\n", + "Output : 0.00152015 [ 0.04 %]\n", + "Levels : 0.000763375 [ 0.02 %]\n", + "Report : 7.82e-07 [ 0.00 %]\n", + "Balance : 3.44e-07 [ 0.00 %]\n", + "Adjust : 0.792517 [ 19.23 %]\n", + "Total : 4.12132 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5795 700 357 134 156 \n", - "1 : 5772 686 386 148 150 \n", - "2 : 5759 680 377 176 150 \n", - "3 : 5792 655 391 144 160 \n", - "4 : 5734 653 430 152 173 \n", - "5 : 5846 616 378 144 158 \n", - "6 : 5830 606 384 155 167 \n", - "7 : 5765 676 402 137 162 \n", - "8 : 5828 631 396 140 147 \n", - "9 : 5745 672 406 147 172 \n", - "10 : 5748 703 370 155 166 \n", - "11 : 5735 680 401 142 184 \n", - "12 : 5766 666 383 135 192 \n", - "13 : 5779 683 402 139 151 \n", + "0 : 5825 670 393 124 130 \n", + "1 : 5842 692 360 122 126 \n", + "2 : 5811 681 395 129 126 \n", + "3 : 5821 687 372 135 127 \n", + "4 : 5814 685 360 147 136 \n", + "5 : 5877 665 354 119 127 \n", + "6 : 5858 683 357 124 120 \n", + "7 : 5848 688 363 132 111 \n", + "8 : 5854 636 383 121 148 \n", + "9 : 5871 639 367 134 131 \n", + "10 : 5841 678 356 125 142 \n", + "11 : 5798 717 378 125 124 \n", + "12 : 5914 620 345 138 125 \n", + "13 : 5858 680 367 128 121 \n", "\n", - "T : 80894 9307 5463 2048 2288 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81832 9421 5150 1803 1794 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 1.1291e-02 sec\n", - "--- Collate = 7.6449e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 3.6218e-02 sec\n", + "--- Collate = 5.0142e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.346074e-06 < 6.250000e-03 [1317]\n", - "--- Max DT=1.804148e+00 > 1.000000e-01 [69986]\n", + "--- Min DT=2.440237e-07 < 6.250000e-03 [1048]\n", + "--- Max DT=2.114316e+00 > 1.000000e-01 [68938]\n", "----------------------------------------------------------------------\n", - " Component | low: 1317/100000\n", - " Component | high: 69986/100000\n", + " Component | low: 1048/100000\n", + " Component | high: 68938/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=77.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000920076 [ 0.55 %]\n", - "Velocity : 0.00311593 [ 1.86 %]\n", - "Force : 0.0643012 [ 38.42 %]\n", - "Coefs : 0.025435 [ 15.20 %]\n", - "Output : 0.00101921 [ 0.61 %]\n", - "Levels : 0.000244406 [ 0.15 %]\n", - "Report : 1.158e-06 [ 0.00 %]\n", - "Balance : 6.43e-07 [ 0.00 %]\n", - "Adjust : 0.0722767 [ 43.18 %]\n", - "Total : 0.167371 [100.00 %]\n", + "Drift : 0.000492854 [ 0.01 %]\n", + "Velocity : 0.00260099 [ 0.07 %]\n", + "Force : 0.629238 [ 17.48 %]\n", + "Coefs : 2.27076 [ 63.09 %]\n", + "Output : 0.00151638 [ 0.04 %]\n", + "Levels : 0.00056241 [ 0.02 %]\n", + "Report : 8.12e-07 [ 0.00 %]\n", + "Balance : 2.51e-07 [ 0.00 %]\n", + "Adjust : 0.69387 [ 19.28 %]\n", + "Total : 3.59909 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5792 698 359 143 150 \n", - "1 : 5766 682 390 151 153 \n", - "2 : 5756 686 373 166 161 \n", - "3 : 5793 649 398 142 160 \n", - "4 : 5730 653 432 155 172 \n", - "5 : 5850 616 373 142 161 \n", - "6 : 5826 610 393 148 165 \n", - "7 : 5769 674 402 139 158 \n", - "8 : 5823 632 387 143 157 \n", - "9 : 5749 666 407 141 179 \n", - "10 : 5750 704 371 151 166 \n", - "11 : 5737 679 405 138 183 \n", - "12 : 5762 674 374 150 182 \n", - "13 : 5773 684 403 146 148 \n", + "0 : 5830 663 395 121 133 \n", + "1 : 5843 687 360 128 124 \n", + "2 : 5813 675 395 134 125 \n", + "3 : 5823 682 370 144 123 \n", + "4 : 5808 696 350 141 147 \n", + "5 : 5878 670 347 126 121 \n", + "6 : 5856 685 356 119 126 \n", + "7 : 5849 686 368 128 111 \n", + "8 : 5850 649 365 137 141 \n", + "9 : 5870 639 370 125 138 \n", + "10 : 5842 691 349 105 155 \n", + "11 : 5802 709 376 139 116 \n", + "12 : 5917 629 327 144 125 \n", + "13 : 5862 677 366 127 122 \n", "\n", - "T : 80876 9307 5467 2055 2295 [100000]\n", + "T : 81843 9438 5094 1818 1807 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.6%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.1901e-02 sec\n", - "--- Collate = 8.4380e-05 sec\n", + "--- Coef/DT = 31.4%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 5.4310e-02 sec\n", + "--- Collate = 1.3033e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.996760e-06 < 6.250000e-03 [1322]\n", - "--- Max DT=1.810700e+00 > 1.000000e-01 [69995]\n", + "--- Min DT=3.155947e-06 < 6.250000e-03 [1030]\n", + "--- Max DT=2.121052e+00 > 1.000000e-01 [68925]\n", "----------------------------------------------------------------------\n", - " Component | low: 1322/100000\n", - " Component | high: 69995/100000\n", + " Component | low: 1030/100000\n", + " Component | high: 68925/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=77.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000901549 [ 0.50 %]\n", - "Velocity : 0.0032212 [ 1.79 %]\n", - "Force : 0.0736905 [ 40.96 %]\n", - "Coefs : 0.0257301 [ 14.30 %]\n", - "Output : 0.00109826 [ 0.61 %]\n", - "Levels : 0.000299561 [ 0.17 %]\n", - "Report : 1.355e-06 [ 0.00 %]\n", - "Balance : 5.83e-07 [ 0.00 %]\n", - "Adjust : 0.0749283 [ 41.64 %]\n", - "Total : 0.179927 [100.00 %]\n", + "Drift : 0.000523903 [ 0.02 %]\n", + "Velocity : 0.00310627 [ 0.10 %]\n", + "Force : 0.59153 [ 18.42 %]\n", + "Coefs : 1.90443 [ 59.31 %]\n", + "Output : 0.00156778 [ 0.05 %]\n", + "Levels : 0.000316322 [ 0.01 %]\n", + "Report : 8.61e-07 [ 0.00 %]\n", + "Balance : 2.77e-07 [ 0.00 %]\n", + "Adjust : 0.709474 [ 22.10 %]\n", + "Total : 3.211 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5794 688 368 140 152 \n", - "1 : 5768 687 376 161 150 \n", - "2 : 5752 686 380 165 159 \n", - "3 : 5795 648 398 137 164 \n", - "4 : 5725 660 428 151 178 \n", - "5 : 5849 614 380 136 163 \n", - "6 : 5831 596 406 145 164 \n", - "7 : 5770 668 408 145 151 \n", - "8 : 5819 639 385 138 161 \n", - "9 : 5754 660 407 143 178 \n", - "10 : 5750 705 370 150 167 \n", - "11 : 5736 670 406 142 188 \n", - "12 : 5767 674 377 145 179 \n", - "13 : 5780 682 389 146 157 \n", + "0 : 5832 658 399 122 131 \n", + "1 : 5846 676 367 131 122 \n", + "2 : 5814 672 399 135 122 \n", + "3 : 5829 677 382 126 128 \n", + "4 : 5810 688 354 144 146 \n", + "5 : 5884 664 349 128 117 \n", + "6 : 5855 684 351 123 129 \n", + "7 : 5853 677 374 126 112 \n", + "8 : 5848 649 372 125 148 \n", + "9 : 5866 639 361 135 141 \n", + "10 : 5841 693 346 108 154 \n", + "11 : 5808 698 383 138 115 \n", + "12 : 5918 627 334 138 125 \n", + "13 : 5859 681 359 128 127 \n", "\n", - "T : 80890 9277 5478 2044 2311 [100000]\n", + "T : 81863 9383 5130 1807 1817 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.3%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.0819e-02 sec\n", - "--- Collate = 6.9961e-05 sec\n", + "--- Coef/DT = 30.9%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 3.9656e-02 sec\n", + "--- Collate = 3.0194e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.109457e-07 < 6.250000e-03 [1356]\n", - "--- Max DT=1.817254e+00 > 1.000000e-01 [69995]\n", + "--- Min DT=2.754200e-07 < 6.250000e-03 [1087]\n", + "--- Max DT=2.127792e+00 > 1.000000e-01 [68928]\n", "----------------------------------------------------------------------\n", - " Component | low: 1356/100000\n", - " Component | high: 69995/100000\n", + " Component | low: 1087/100000\n", + " Component | high: 68928/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=77.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000901884 [ 0.53 %]\n", - "Velocity : 0.00298917 [ 1.75 %]\n", - "Force : 0.0657323 [ 38.50 %]\n", - "Coefs : 0.0254266 [ 14.89 %]\n", - "Output : 0.00138889 [ 0.81 %]\n", - "Levels : 0.000180744 [ 0.11 %]\n", - "Report : 1.137e-06 [ 0.00 %]\n", - "Balance : 3.82e-07 [ 0.00 %]\n", - "Adjust : 0.0740574 [ 43.38 %]\n", - "Total : 0.170728 [100.00 %]\n", + "Drift : 0.000959316 [ 0.03 %]\n", + "Velocity : 0.00348767 [ 0.11 %]\n", + "Force : 0.562178 [ 18.12 %]\n", + "Coefs : 1.88077 [ 60.62 %]\n", + "Output : 0.00145702 [ 0.05 %]\n", + "Levels : 0.000298229 [ 0.01 %]\n", + "Report : 4.17e-07 [ 0.00 %]\n", + "Balance : 2.73e-07 [ 0.00 %]\n", + "Adjust : 0.65324 [ 21.06 %]\n", + "Total : 3.10244 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5795 687 374 144 142 \n", - "1 : 5769 679 388 156 150 \n", - "2 : 5747 688 381 161 165 \n", - "3 : 5794 643 408 133 164 \n", - "4 : 5725 655 425 164 173 \n", - "5 : 5847 617 381 138 159 \n", - "6 : 5820 604 408 151 159 \n", - "7 : 5773 661 413 146 149 \n", - "8 : 5823 631 391 136 161 \n", - "9 : 5756 653 420 136 177 \n", - "10 : 5748 694 385 142 173 \n", - "11 : 5741 669 404 141 187 \n", - "12 : 5765 672 382 151 172 \n", - "13 : 5780 682 397 139 156 \n", + "0 : 5832 661 405 123 121 \n", + "1 : 5849 665 375 139 114 \n", + "2 : 5814 665 399 143 121 \n", + "3 : 5827 679 378 130 128 \n", + "4 : 5803 697 361 141 140 \n", + "5 : 5890 661 334 137 120 \n", + "6 : 5854 684 357 117 130 \n", + "7 : 5848 682 373 126 113 \n", + "8 : 5852 647 371 126 146 \n", + "9 : 5868 639 360 131 144 \n", + "10 : 5840 690 349 110 153 \n", + "11 : 5809 696 385 135 117 \n", + "12 : 5916 632 328 138 128 \n", + "13 : 5856 674 369 125 130 \n", "\n", - "T : 80883 9235 5557 2038 2287 [100000]\n", + "T : 81858 9372 5144 1821 1805 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0809e-02 sec\n", - "--- Collate = 7.0580e-05 sec\n", + "--- Coef/DT = 46.8%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 6.2411e-02 sec\n", + "--- Collate = 8.0249e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.112684e-06 < 6.250000e-03 [1334]\n", - "--- Max DT=1.823812e+00 > 1.000000e-01 [69995]\n", + "--- Min DT=7.226507e-06 < 6.250000e-03 [1112]\n", + "--- Max DT=2.134534e+00 > 1.000000e-01 [68921]\n", "----------------------------------------------------------------------\n", - " Component | low: 1334/100000\n", - " Component | high: 69995/100000\n", + " Component | low: 1112/100000\n", + " Component | high: 68921/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=77.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000693618 [ 0.43 %]\n", - "Velocity : 0.00266749 [ 1.67 %]\n", - "Force : 0.0602963 [ 37.68 %]\n", - "Coefs : 0.0243198 [ 15.20 %]\n", - "Output : 0.001158 [ 0.72 %]\n", - "Levels : 0.000175682 [ 0.11 %]\n", - "Report : 1.125e-06 [ 0.00 %]\n", - "Balance : 4.86e-07 [ 0.00 %]\n", - "Adjust : 0.0706636 [ 44.16 %]\n", - "Total : 0.160029 [100.00 %]\n", + "Drift : 0.00109623 [ 0.03 %]\n", + "Velocity : 0.00286572 [ 0.09 %]\n", + "Force : 0.554565 [ 17.07 %]\n", + "Coefs : 2.04539 [ 62.95 %]\n", + "Output : 0.00153128 [ 0.05 %]\n", + "Levels : 0.000264509 [ 0.01 %]\n", + "Report : 5.58e-07 [ 0.00 %]\n", + "Balance : 2.77e-07 [ 0.00 %]\n", + "Adjust : 0.643707 [ 19.81 %]\n", + "Total : 3.24947 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5797 686 366 143 150 \n", - "1 : 5765 680 386 165 146 \n", - "2 : 5749 683 386 154 170 \n", - "3 : 5795 636 413 135 163 \n", - "4 : 5725 659 431 161 166 \n", - "5 : 5846 615 385 142 154 \n", - "6 : 5819 612 400 159 152 \n", - "7 : 5767 669 425 131 150 \n", - "8 : 5823 618 395 151 155 \n", - "9 : 5752 657 413 143 177 \n", - "10 : 5751 691 389 139 172 \n", - "11 : 5742 665 410 149 176 \n", - "12 : 5765 667 390 143 177 \n", - "13 : 5786 683 388 139 158 \n", + "0 : 5833 660 400 125 124 \n", + "1 : 5845 674 371 137 115 \n", + "2 : 5813 661 401 141 126 \n", + "3 : 5828 682 370 133 129 \n", + "4 : 5804 687 363 146 142 \n", + "5 : 5889 663 335 139 116 \n", + "6 : 5852 695 345 119 131 \n", + "7 : 5849 684 369 110 130 \n", + "8 : 5847 658 365 133 139 \n", + "9 : 5870 640 362 122 148 \n", + "10 : 5839 683 356 111 153 \n", + "11 : 5818 688 387 125 124 \n", + "12 : 5911 638 332 134 127 \n", + "13 : 5858 668 371 131 126 \n", "\n", - "T : 80882 9221 5577 2054 2266 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81856 9381 5127 1806 1830 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.1159e-02 sec\n", - "--- Collate = 8.0093e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 5.8452e-02 sec\n", + "--- Collate = 5.0247e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.745917e-06 < 6.250000e-03 [1319]\n", - "--- Max DT=1.830372e+00 > 1.000000e-01 [69983]\n", + "--- Min DT=7.829823e-07 < 6.250000e-03 [1101]\n", + "--- Max DT=2.141279e+00 > 1.000000e-01 [68901]\n", "----------------------------------------------------------------------\n", - " Component | low: 1319/100000\n", - " Component | high: 69983/100000\n", + " Component | low: 1101/100000\n", + " Component | high: 68901/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=77.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000760804 [ 0.47 %]\n", - "Velocity : 0.0028189 [ 1.75 %]\n", - "Force : 0.061585 [ 38.27 %]\n", - "Coefs : 0.0242633 [ 15.08 %]\n", - "Output : 0.00106296 [ 0.66 %]\n", - "Levels : 0.00021966 [ 0.14 %]\n", - "Report : 1.248e-06 [ 0.00 %]\n", - "Balance : 5.05e-07 [ 0.00 %]\n", - "Adjust : 0.0701724 [ 43.60 %]\n", - "Total : 0.160936 [100.00 %]\n", + "Drift : 0.000907221 [ 0.03 %]\n", + "Velocity : 0.0028412 [ 0.08 %]\n", + "Force : 0.589481 [ 17.20 %]\n", + "Coefs : 2.12516 [ 62.02 %]\n", + "Output : 0.00144158 [ 0.04 %]\n", + "Levels : 0.000283599 [ 0.01 %]\n", + "Report : 5.46e-07 [ 0.00 %]\n", + "Balance : 3.29e-07 [ 0.00 %]\n", + "Adjust : 0.70623 [ 20.61 %]\n", + "Total : 3.42639 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5800 682 361 157 142 \n", - "1 : 5768 677 388 165 144 \n", - "2 : 5752 677 389 155 169 \n", - "3 : 5795 630 413 148 156 \n", - "4 : 5729 656 430 163 164 \n", - "5 : 5844 614 386 146 152 \n", - "6 : 5815 616 408 145 158 \n", - "7 : 5772 666 425 128 151 \n", - "8 : 5823 619 388 153 159 \n", - "9 : 5752 652 412 145 181 \n", - "10 : 5745 690 397 131 179 \n", - "11 : 5746 662 406 158 170 \n", - "12 : 5763 667 395 141 176 \n", - "13 : 5784 690 381 135 164 \n", + "0 : 5825 672 388 130 127 \n", + "1 : 5839 680 377 122 124 \n", + "2 : 5810 666 401 133 132 \n", + "3 : 5831 685 362 129 135 \n", + "4 : 5802 685 376 137 142 \n", + "5 : 5889 662 345 132 114 \n", + "6 : 5859 689 345 115 134 \n", + "7 : 5850 679 368 115 130 \n", + "8 : 5849 654 372 129 138 \n", + "9 : 5867 640 360 123 152 \n", + "10 : 5841 689 343 114 155 \n", + "11 : 5815 692 390 121 124 \n", + "12 : 5911 630 339 133 129 \n", + "13 : 5857 680 357 137 123 \n", "\n", - "T : 80888 9198 5579 2070 2265 [100000]\n", + "T : 81845 9403 5123 1770 1859 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.1171e-02 sec\n", - "--- Collate = 9.5727e-05 sec\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 7.1185e-02 sec\n", + "--- Collate = 1.4053e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.577898e-07 < 6.250000e-03 [1285]\n", - "--- Max DT=1.836936e+00 > 1.000000e-01 [69992]\n", + "--- Min DT=2.306557e-06 < 6.250000e-03 [1106]\n", + "--- Max DT=2.148026e+00 > 1.000000e-01 [68904]\n", "----------------------------------------------------------------------\n", - " Component | low: 1285/100000\n", - " Component | high: 69992/100000\n", + " Component | low: 1106/100000\n", + " Component | high: 68904/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=78] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000631807 [ 0.39 %]\n", - "Velocity : 0.00239479 [ 1.49 %]\n", - "Force : 0.0597337 [ 37.17 %]\n", - "Coefs : 0.0244307 [ 15.20 %]\n", - "Output : 0.00505776 [ 3.15 %]\n", - "Levels : 0.000218377 [ 0.14 %]\n", - "Report : 1.319e-06 [ 0.00 %]\n", - "Balance : 6.25e-07 [ 0.00 %]\n", - "Adjust : 0.0681857 [ 42.43 %]\n", - "Total : 0.160701 [100.00 %]\n", + "Drift : 0.000922457 [ 0.03 %]\n", + "Velocity : 0.00354443 [ 0.10 %]\n", + "Force : 0.639865 [ 17.58 %]\n", + "Coefs : 2.11715 [ 58.16 %]\n", + "Output : 0.0143644 [ 0.39 %]\n", + "Levels : 0.000335786 [ 0.01 %]\n", + "Report : 9.63e-07 [ 0.00 %]\n", + "Balance : 4.68e-07 [ 0.00 %]\n", + "Adjust : 0.863789 [ 23.73 %]\n", + "Total : 3.64002 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5801 670 366 167 138 \n", - "1 : 5772 669 394 153 154 \n", - "2 : 5753 674 397 149 169 \n", - "3 : 5788 647 400 150 157 \n", - "4 : 5725 659 430 160 168 \n", - "5 : 5846 619 381 146 150 \n", - "6 : 5817 602 421 150 152 \n", - "7 : 5763 674 420 130 155 \n", - "8 : 5821 613 396 153 159 \n", - "9 : 5748 651 418 153 172 \n", - "10 : 5757 679 395 129 182 \n", - "11 : 5746 662 406 153 175 \n", - "12 : 5761 667 395 148 171 \n", - "13 : 5785 689 373 144 163 \n", + "0 : 5829 671 387 127 128 \n", + "1 : 5832 686 374 126 124 \n", + "2 : 5813 668 397 134 130 \n", + "3 : 5828 694 363 120 137 \n", + "4 : 5805 682 387 130 138 \n", + "5 : 5885 659 352 128 118 \n", + "6 : 5860 685 343 120 134 \n", + "7 : 5852 684 363 114 129 \n", + "8 : 5848 655 380 129 130 \n", + "9 : 5866 646 360 119 151 \n", + "10 : 5842 687 348 114 151 \n", + "11 : 5815 708 374 119 126 \n", + "12 : 5911 628 345 131 127 \n", + "13 : 5854 685 354 140 121 \n", "\n", - "T : 80883 9175 5592 2085 2265 [100000]\n", + "T : 81840 9438 5127 1751 1844 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0725e-02 sec\n", - "--- Collate = 7.1587e-05 sec\n", + "--- Coef/DT = 2.3%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 7.1345e-02 sec\n", + "--- Collate = 2.0386e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.414778e-06 < 6.250000e-03 [1288]\n", - "--- Max DT=1.843503e+00 > 1.000000e-01 [69980]\n", + "--- Min DT=1.952095e-06 < 6.250000e-03 [1110]\n", + "--- Max DT=2.154776e+00 > 1.000000e-01 [68906]\n", "----------------------------------------------------------------------\n", - " Component | low: 1288/100000\n", - " Component | high: 69980/100000\n", + " Component | low: 1110/100000\n", + " Component | high: 68906/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=78.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000592885 [ 0.38 %]\n", - "Velocity : 0.00233075 [ 1.49 %]\n", - "Force : 0.0592743 [ 37.90 %]\n", - "Coefs : 0.024579 [ 15.72 %]\n", - "Output : 0.000878313 [ 0.56 %]\n", - "Levels : 0.000199273 [ 0.13 %]\n", - "Report : 1.149e-06 [ 0.00 %]\n", - "Balance : 4.49e-07 [ 0.00 %]\n", - "Adjust : 0.0684902 [ 43.79 %]\n", - "Total : 0.156396 [100.00 %]\n", + "Drift : 0.000857114 [ 0.02 %]\n", + "Velocity : 0.00275436 [ 0.08 %]\n", + "Force : 0.630481 [ 18.25 %]\n", + "Coefs : 2.13011 [ 61.66 %]\n", + "Output : 0.00147643 [ 0.04 %]\n", + "Levels : 0.000741364 [ 0.02 %]\n", + "Report : 8.57e-07 [ 0.00 %]\n", + "Balance : 3.46e-07 [ 0.00 %]\n", + "Adjust : 0.688221 [ 19.92 %]\n", + "Total : 3.4547 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5801 667 378 153 143 \n", - "1 : 5774 664 400 145 159 \n", - "2 : 5750 678 394 153 167 \n", - "3 : 5787 650 402 151 152 \n", - "4 : 5723 660 431 165 163 \n", - "5 : 5844 621 382 144 151 \n", - "6 : 5812 608 420 153 149 \n", - "7 : 5770 665 417 137 153 \n", - "8 : 5818 607 406 156 155 \n", - "9 : 5750 648 416 156 172 \n", - "10 : 5755 681 388 141 177 \n", - "11 : 5741 662 401 172 166 \n", - "12 : 5761 661 403 148 169 \n", - "13 : 5791 677 372 150 164 \n", + "0 : 5835 668 387 123 129 \n", + "1 : 5822 698 376 123 123 \n", + "2 : 5809 675 390 134 134 \n", + "3 : 5830 693 361 123 135 \n", + "4 : 5803 676 404 125 134 \n", + "5 : 5881 661 346 124 130 \n", + "6 : 5857 688 339 114 144 \n", + "7 : 5849 694 357 114 128 \n", + "8 : 5846 663 373 121 139 \n", + "9 : 5868 647 359 117 151 \n", + "10 : 5839 689 350 115 149 \n", + "11 : 5821 707 377 110 127 \n", + "12 : 5908 628 354 117 135 \n", + "13 : 5852 691 355 139 117 \n", "\n", - "T : 80877 9149 5610 2124 2240 [100000]\n", + "T : 81820 9478 5128 1699 1875 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", + "--- Coef/DT = 1.9%\n", "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0462e-02 sec\n", - "--- Collate = 6.5755e-05 sec\n", + "--- Update = 3.4828e-02 sec\n", + "--- Collate = 3.8864e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.744085e-06 < 6.250000e-03 [1297]\n", - "--- Max DT=1.850073e+00 > 1.000000e-01 [69982]\n", + "--- Min DT=1.614818e-06 < 6.250000e-03 [1131]\n", + "--- Max DT=2.161529e+00 > 1.000000e-01 [68895]\n", "----------------------------------------------------------------------\n", - " Component | low: 1297/100000\n", - " Component | high: 69982/100000\n", + " Component | low: 1131/100000\n", + " Component | high: 68895/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=78.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000593841 [ 0.38 %]\n", - "Velocity : 0.00283377 [ 1.83 %]\n", - "Force : 0.0585459 [ 37.85 %]\n", - "Coefs : 0.0235179 [ 15.20 %]\n", - "Output : 0.00103162 [ 0.67 %]\n", - "Levels : 0.000221218 [ 0.14 %]\n", - "Report : 1.414e-06 [ 0.00 %]\n", - "Balance : 4.99e-07 [ 0.00 %]\n", - "Adjust : 0.0678944 [ 43.89 %]\n", - "Total : 0.154691 [100.00 %]\n", - "----------------------------------------------------------------------\n", - "\n", - "----------------------------------------------------------------------\n", - "--- Level info--------------------------------------------------------\n", - "----------------------------------------------------------------------\n", - "0 : 5802 666 385 152 137 \n", - "1 : 5772 670 395 146 159 \n", - "2 : 5743 687 394 159 159 \n", - "3 : 5787 649 389 166 151 \n", - "4 : 5721 654 443 162 162 \n", - "5 : 5849 617 380 148 148 \n", - "6 : 5809 605 423 160 145 \n", - "7 : 5771 672 401 139 159 \n", - "8 : 5812 609 408 150 163 \n", - "9 : 5747 654 416 150 175 \n", - "10 : 5759 672 395 144 172 \n", - "11 : 5742 654 414 162 170 \n", - "12 : 5760 661 407 148 166 \n", - "13 : 5791 678 374 154 157 \n", - "\n", - "T : 80865 9148 5624 2140 2223 [100000]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000430066 [ 0.01 %]\n", + "Velocity : 0.00197263 [ 0.06 %]\n", + "Force : 0.528998 [ 16.47 %]\n", + "Coefs : 2.00134 [ 62.31 %]\n", + "Output : 0.00104709 [ 0.03 %]\n", + "Levels : 0.00821755 [ 0.26 %]\n", + "Report : 4.55e-07 [ 0.00 %]\n", + "Balance : 1.55e-07 [ 0.00 %]\n", + "Adjust : 0.669724 [ 20.85 %]\n", + "Total : 3.2119 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5828 680 378 124 132 \n", + "1 : 5818 703 379 113 129 \n", + "2 : 5807 678 394 139 124 \n", + "3 : 5822 700 366 113 141 \n", + "4 : 5806 681 402 113 140 \n", + "5 : 5876 667 353 111 135 \n", + "6 : 5856 692 329 122 143 \n", + "7 : 5844 696 356 120 126 \n", + "8 : 5850 665 366 126 135 \n", + "9 : 5865 649 355 122 151 \n", + "10 : 5842 685 347 125 143 \n", + "11 : 5819 716 371 104 132 \n", + "12 : 5908 633 346 121 134 \n", + "13 : 5853 697 345 135 124 \n", + "\n", + "T : 81794 9542 5087 1688 1889 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", + "--- Coef/DT = 1.5%\n", "--- Adj/Tot = 1.9%\n", - "--- Update = 1.0502e-02 sec\n", - "--- Collate = 8.1565e-05 sec\n", + "--- Update = 2.6709e-02 sec\n", + "--- Collate = 2.9628e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.339161e-06 < 6.250000e-03 [1299]\n", - "--- Max DT=1.856645e+00 > 1.000000e-01 [69963]\n", + "--- Min DT=5.662616e-06 < 6.250000e-03 [1137]\n", + "--- Max DT=2.168285e+00 > 1.000000e-01 [68885]\n", "----------------------------------------------------------------------\n", - " Component | low: 1299/100000\n", - " Component | high: 69963/100000\n", + " Component | low: 1137/100000\n", + " Component | high: 68885/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=78.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000573312 [ 0.37 %]\n", - "Velocity : 0.00309431 [ 2.01 %]\n", - "Force : 0.0586504 [ 38.14 %]\n", - "Coefs : 0.0232483 [ 15.12 %]\n", - "Output : 0.000806009 [ 0.52 %]\n", - "Levels : 0.00020741 [ 0.13 %]\n", - "Report : 1.05e-06 [ 0.00 %]\n", - "Balance : 2.87e-07 [ 0.00 %]\n", - "Adjust : 0.0671404 [ 43.66 %]\n", - "Total : 0.153766 [100.00 %]\n", + "Drift : 0.000321037 [ 0.01 %]\n", + "Velocity : 0.00163054 [ 0.06 %]\n", + "Force : 0.454085 [ 16.11 %]\n", + "Coefs : 1.77934 [ 63.12 %]\n", + "Output : 0.000817718 [ 0.03 %]\n", + "Levels : 0.000236238 [ 0.01 %]\n", + "Report : 3.07e-07 [ 0.00 %]\n", + "Balance : 1.04e-07 [ 0.00 %]\n", + "Adjust : 0.582659 [ 20.67 %]\n", + "Total : 2.81911 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5800 662 387 157 136 \n", - "1 : 5776 669 401 137 159 \n", - "2 : 5743 685 401 155 158 \n", - "3 : 5789 638 396 171 148 \n", - "4 : 5723 651 443 165 160 \n", - "5 : 5847 618 385 141 151 \n", - "6 : 5812 607 418 162 143 \n", - "7 : 5772 669 402 139 160 \n", - "8 : 5806 607 415 152 162 \n", - "9 : 5751 655 412 147 177 \n", - "10 : 5758 676 387 158 163 \n", - "11 : 5744 658 404 163 173 \n", - "12 : 5764 660 404 140 174 \n", - "13 : 5790 685 368 155 156 \n", + "0 : 5828 684 369 123 138 \n", + "1 : 5814 715 373 113 127 \n", + "2 : 5804 681 387 146 124 \n", + "3 : 5825 699 358 123 137 \n", + "4 : 5813 674 400 113 142 \n", + "5 : 5871 674 352 114 131 \n", + "6 : 5857 689 337 118 141 \n", + "7 : 5844 696 357 108 137 \n", + "8 : 5856 653 383 121 129 \n", + "9 : 5861 657 345 129 150 \n", + "10 : 5841 690 338 135 138 \n", + "11 : 5822 712 363 115 130 \n", + "12 : 5909 629 351 123 130 \n", + "13 : 5850 705 337 142 120 \n", "\n", - "T : 80875 9140 5623 2142 2220 [100000]\n", + "T : 81795 9558 5050 1723 1874 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", + "--- Coef/DT = 61.1%\n", "--- Adj/Tot = 1.9%\n", - "--- Update = 1.0550e-02 sec\n", - "--- Collate = 6.7934e-05 sec\n", + "--- Update = 2.8530e-02 sec\n", + "--- Collate = 6.1531e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.658379e-06 < 6.250000e-03 [1300]\n", - "--- Max DT=1.863221e+00 > 1.000000e-01 [69963]\n", + "--- Min DT=5.235661e-07 < 6.250000e-03 [1148]\n", + "--- Max DT=2.175043e+00 > 1.000000e-01 [68879]\n", "----------------------------------------------------------------------\n", - " Component | low: 1300/100000\n", - " Component | high: 69963/100000\n", + " Component | low: 1148/100000\n", + " Component | high: 68879/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=78.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000507758 [ 0.33 %]\n", - "Velocity : 0.00247619 [ 1.62 %]\n", - "Force : 0.0582921 [ 38.07 %]\n", - "Coefs : 0.0237191 [ 15.49 %]\n", - "Output : 0.000743433 [ 0.49 %]\n", - "Levels : 0.000211898 [ 0.14 %]\n", - "Report : 1.241e-06 [ 0.00 %]\n", - "Balance : 3.29e-07 [ 0.00 %]\n", - "Adjust : 0.0671211 [ 43.84 %]\n", - "Total : 0.153115 [100.00 %]\n", + "Drift : 0.000341551 [ 0.01 %]\n", + "Velocity : 0.00162955 [ 0.07 %]\n", + "Force : 0.393671 [ 16.54 %]\n", + "Coefs : 1.42289 [ 59.80 %]\n", + "Output : 0.000817865 [ 0.03 %]\n", + "Levels : 0.000144799 [ 0.01 %]\n", + "Report : 4.17e-07 [ 0.00 %]\n", + "Balance : 1.58e-07 [ 0.00 %]\n", + "Adjust : 0.559893 [ 23.53 %]\n", + "Total : 2.37942 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5793 673 374 167 135 \n", - "1 : 5774 671 406 132 159 \n", - "2 : 5738 694 403 144 163 \n", - "3 : 5785 633 408 171 145 \n", - "4 : 5716 655 446 169 156 \n", - "5 : 5853 608 394 134 153 \n", - "6 : 5809 607 421 160 145 \n", - "7 : 5772 677 385 154 154 \n", - "8 : 5809 602 418 152 161 \n", - "9 : 5758 644 415 155 170 \n", - "10 : 5763 666 398 154 161 \n", - "11 : 5739 664 405 166 168 \n", - "12 : 5765 663 403 144 167 \n", - "13 : 5788 697 358 163 148 \n", + "0 : 5824 685 371 127 135 \n", + "1 : 5815 720 366 113 128 \n", + "2 : 5799 696 371 145 131 \n", + "3 : 5827 700 354 123 138 \n", + "4 : 5815 679 391 120 137 \n", + "5 : 5870 688 338 121 125 \n", + "6 : 5852 701 329 122 138 \n", + "7 : 5844 692 362 114 130 \n", + "8 : 5858 655 381 117 131 \n", + "9 : 5858 663 354 131 136 \n", + "10 : 5842 691 329 142 138 \n", + "11 : 5814 722 359 120 127 \n", + "12 : 5904 640 344 127 127 \n", + "13 : 5855 699 346 128 126 \n", "\n", - "T : 80862 9154 5634 2165 2185 [100000]\n", + "T : 81777 9631 4995 1750 1847 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", + "--- Coef/DT = 1.8%\n", "--- Adj/Tot = 1.9%\n", - "--- Update = 1.0408e-02 sec\n", - "--- Collate = 6.8793e-05 sec\n", + "--- Update = 3.8594e-02 sec\n", + "--- Collate = 1.0011e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.355455e-06 < 6.250000e-03 [1291]\n", - "--- Max DT=1.869800e+00 > 1.000000e-01 [69945]\n", + "--- Min DT=6.504304e-06 < 6.250000e-03 [1120]\n", + "--- Max DT=2.181804e+00 > 1.000000e-01 [68884]\n", "----------------------------------------------------------------------\n", - " Component | low: 1291/100000\n", - " Component | high: 69945/100000\n", + " Component | low: 1120/100000\n", + " Component | high: 68884/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=78.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000528133 [ 0.35 %]\n", - "Velocity : 0.00247677 [ 1.63 %]\n", - "Force : 0.057966 [ 38.12 %]\n", - "Coefs : 0.0238168 [ 15.66 %]\n", - "Output : 0.000749674 [ 0.49 %]\n", - "Levels : 0.000205279 [ 0.14 %]\n", - "Report : 1.506e-06 [ 0.00 %]\n", - "Balance : 3.77e-07 [ 0.00 %]\n", - "Adjust : 0.0662561 [ 43.58 %]\n", - "Total : 0.152045 [100.00 %]\n", + "Drift : 0.000301187 [ 0.01 %]\n", + "Velocity : 0.00156269 [ 0.05 %]\n", + "Force : 0.464488 [ 15.57 %]\n", + "Coefs : 1.92145 [ 64.40 %]\n", + "Output : 0.000881231 [ 0.03 %]\n", + "Levels : 0.000786763 [ 0.03 %]\n", + "Report : 5.02e-07 [ 0.00 %]\n", + "Balance : 1.38e-07 [ 0.00 %]\n", + "Adjust : 0.593893 [ 19.91 %]\n", + "Total : 2.98339 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5793 669 379 166 135 \n", - "1 : 5771 670 417 125 159 \n", - "2 : 5743 695 396 145 163 \n", - "3 : 5788 629 404 176 145 \n", - "4 : 5716 657 453 153 163 \n", - "5 : 5858 599 399 138 148 \n", - "6 : 5806 602 426 157 151 \n", - "7 : 5767 682 390 145 158 \n", - "8 : 5801 612 419 148 162 \n", - "9 : 5753 640 411 157 181 \n", - "10 : 5763 664 397 157 161 \n", - "11 : 5741 660 409 161 171 \n", - "12 : 5761 670 407 132 172 \n", - "13 : 5783 705 353 167 146 \n", + "0 : 5824 694 359 128 137 \n", + "1 : 5818 721 358 120 125 \n", + "2 : 5799 697 378 136 132 \n", + "3 : 5828 705 341 128 140 \n", + "4 : 5817 688 370 140 127 \n", + "5 : 5869 683 347 116 127 \n", + "6 : 5851 701 348 102 140 \n", + "7 : 5841 696 364 111 130 \n", + "8 : 5851 667 371 127 126 \n", + "9 : 5854 666 353 130 139 \n", + "10 : 5843 689 335 139 136 \n", + "11 : 5814 724 357 120 127 \n", + "12 : 5908 635 347 126 126 \n", + "13 : 5852 705 349 120 128 \n", "\n", - "T : 80844 9154 5660 2127 2215 [100000]\n", + "T : 81769 9671 4977 1743 1840 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.0399e-02 sec\n", - "--- Collate = 6.3383e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 3.9647e-02 sec\n", + "--- Collate = 6.0325e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.048473e-07 < 6.250000e-03 [1290]\n", - "--- Max DT=1.876382e+00 > 1.000000e-01 [69943]\n", + "--- Min DT=2.554871e-06 < 6.250000e-03 [1122]\n", + "--- Max DT=2.188568e+00 > 1.000000e-01 [68881]\n", "----------------------------------------------------------------------\n", - " Component | low: 1290/100000\n", - " Component | high: 69943/100000\n", + " Component | low: 1122/100000\n", + " Component | high: 68881/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=78.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000549346 [ 0.36 %]\n", - "Velocity : 0.00203794 [ 1.34 %]\n", - "Force : 0.0576813 [ 37.92 %]\n", - "Coefs : 0.0240524 [ 15.81 %]\n", - "Output : 0.000681793 [ 0.45 %]\n", - "Levels : 0.00018971 [ 0.12 %]\n", - "Report : 1.168e-06 [ 0.00 %]\n", - "Balance : 3.79e-07 [ 0.00 %]\n", - "Adjust : 0.0668986 [ 43.97 %]\n", - "Total : 0.152132 [100.00 %]\n", - "----------------------------------------------------------------------\n", - "\n", - "----------------------------------------------------------------------\n", - "--- Level info--------------------------------------------------------\n", - "----------------------------------------------------------------------\n", - "0 : 5797 655 386 159 145 \n", - "1 : 5769 666 413 130 164 \n", - "2 : 5746 674 413 146 163 \n", - "3 : 5786 636 398 172 150 \n", - "4 : 5716 658 452 151 165 \n", - "5 : 5852 598 409 140 143 \n", - "6 : 5807 606 426 149 154 \n", - "7 : 5779 673 381 156 153 \n", - "8 : 5803 610 418 153 158 \n", - "9 : 5752 635 419 159 177 \n", - "10 : 5766 657 411 150 158 \n", - "11 : 5739 661 400 169 173 \n", - "12 : 5763 667 412 129 171 \n", - "13 : 5783 701 365 156 149 \n", - "\n", - "T : 80858 9097 5703 2119 2223 [100000]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000404567 [ 0.02 %]\n", + "Velocity : 0.00189172 [ 0.08 %]\n", + "Force : 0.363832 [ 15.62 %]\n", + "Coefs : 1.45428 [ 62.42 %]\n", + "Output : 0.00074829 [ 0.03 %]\n", + "Levels : 0.000182827 [ 0.01 %]\n", + "Report : 3.57e-07 [ 0.00 %]\n", + "Balance : 1.23e-07 [ 0.00 %]\n", + "Adjust : 0.508562 [ 21.83 %]\n", + "Total : 2.32993 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5826 695 359 128 134 \n", + "1 : 5819 724 349 128 122 \n", + "2 : 5795 704 373 141 129 \n", + "3 : 5822 711 340 129 140 \n", + "4 : 5820 687 370 139 126 \n", + "5 : 5865 686 349 115 127 \n", + "6 : 5845 711 345 107 134 \n", + "7 : 5843 697 361 111 130 \n", + "8 : 5850 664 381 118 129 \n", + "9 : 5846 675 354 132 135 \n", + "10 : 5841 689 339 127 146 \n", + "11 : 5808 724 354 135 121 \n", + "12 : 5903 642 351 114 132 \n", + "13 : 5851 701 362 112 128 \n", + "\n", + "T : 81734 9710 4987 1736 1833 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 9.9810e-03 sec\n", - "--- Collate = 6.4077e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 4.1598e-02 sec\n", + "--- Collate = 7.0089e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.691552e-07 < 6.250000e-03 [1270]\n", - "--- Max DT=1.882967e+00 > 1.000000e-01 [69949]\n", + "--- Min DT=1.164619e-06 < 6.250000e-03 [1101]\n", + "--- Max DT=2.195334e+00 > 1.000000e-01 [68879]\n", "----------------------------------------------------------------------\n", - " Component | low: 1270/100000\n", - " Component | high: 69949/100000\n", + " Component | low: 1101/100000\n", + " Component | high: 68879/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=78.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000582942 [ 0.39 %]\n", - "Velocity : 0.00191214 [ 1.28 %]\n", - "Force : 0.057 [ 38.19 %]\n", - "Coefs : 0.023289 [ 15.60 %]\n", - "Output : 0.000717542 [ 0.48 %]\n", - "Levels : 0.000193357 [ 0.13 %]\n", - "Report : 1.158e-06 [ 0.00 %]\n", - "Balance : 3.01e-07 [ 0.00 %]\n", - "Adjust : 0.0655146 [ 43.89 %]\n", - "Total : 0.149254 [100.00 %]\n", + "Drift : 0.000248877 [ 0.01 %]\n", + "Velocity : 0.00192674 [ 0.07 %]\n", + "Force : 0.434752 [ 15.47 %]\n", + "Coefs : 1.78922 [ 63.66 %]\n", + "Output : 0.000757196 [ 0.03 %]\n", + "Levels : 0.000145853 [ 0.01 %]\n", + "Report : 2.28e-07 [ 0.00 %]\n", + "Balance : 1.26e-07 [ 0.00 %]\n", + "Adjust : 0.583332 [ 20.76 %]\n", + "Total : 2.81042 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5791 655 392 156 148 \n", - "1 : 5772 664 415 132 159 \n", - "2 : 5745 672 422 150 153 \n", - "3 : 5782 635 396 175 154 \n", - "4 : 5715 664 449 155 159 \n", - "5 : 5852 588 415 140 147 \n", - "6 : 5813 604 415 156 154 \n", - "7 : 5781 669 378 154 160 \n", - "8 : 5809 598 417 159 159 \n", - "9 : 5751 646 409 156 180 \n", - "10 : 5767 661 414 142 158 \n", - "11 : 5742 659 408 164 169 \n", - "12 : 5763 665 412 130 172 \n", - "13 : 5784 695 371 146 158 \n", + "0 : 5826 691 377 115 133 \n", + "1 : 5823 721 345 128 125 \n", + "2 : 5796 703 374 136 133 \n", + "3 : 5821 713 345 129 134 \n", + "4 : 5820 695 365 141 121 \n", + "5 : 5868 692 338 112 132 \n", + "6 : 5844 717 346 99 136 \n", + "7 : 5843 699 363 115 122 \n", + "8 : 5850 668 370 125 129 \n", + "9 : 5847 680 352 133 130 \n", + "10 : 5838 700 329 129 146 \n", + "11 : 5813 716 355 145 113 \n", + "12 : 5905 651 333 123 130 \n", + "13 : 5851 702 358 119 124 \n", "\n", - "T : 80867 9075 5713 2115 2230 [100000]\n", + "T : 81745 9748 4950 1749 1808 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 1.0652e-02 sec\n", - "--- Collate = 6.4300e-05 sec\n", + "--- Coef/DT = 3.2%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 2.6450e-02 sec\n", + "--- Collate = 2.0047e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.811325e-07 < 6.250000e-03 [1255]\n", - "--- Max DT=1.889554e+00 > 1.000000e-01 [69946]\n", + "--- Min DT=3.779931e-07 < 6.250000e-03 [1081]\n", + "--- Max DT=2.202103e+00 > 1.000000e-01 [68867]\n", "----------------------------------------------------------------------\n", - " Component | low: 1255/100000\n", - " Component | high: 69946/100000\n", + " Component | low: 1081/100000\n", + " Component | high: 68867/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=78.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000653447 [ 0.43 %]\n", - "Velocity : 0.00252961 [ 1.68 %]\n", - "Force : 0.0560628 [ 37.32 %]\n", - "Coefs : 0.0225114 [ 14.98 %]\n", - "Output : 0.00123447 [ 0.82 %]\n", - "Levels : 0.000165976 [ 0.11 %]\n", - "Report : 1.36e-06 [ 0.00 %]\n", - "Balance : 3.73e-07 [ 0.00 %]\n", - "Adjust : 0.0670356 [ 44.62 %]\n", - "Total : 0.150242 [100.00 %]\n", + "Drift : 0.000354802 [ 0.01 %]\n", + "Velocity : 0.00178937 [ 0.06 %]\n", + "Force : 0.473581 [ 16.12 %]\n", + "Coefs : 1.8524 [ 63.05 %]\n", + "Output : 0.000810649 [ 0.03 %]\n", + "Levels : 0.000141098 [ 0.00 %]\n", + "Report : 4.06e-07 [ 0.00 %]\n", + "Balance : 1.27e-07 [ 0.00 %]\n", + "Adjust : 0.608851 [ 20.72 %]\n", + "Total : 2.93795 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5788 650 402 153 149 \n", - "1 : 5779 655 413 148 147 \n", - "2 : 5743 673 428 153 145 \n", - "3 : 5778 631 409 164 160 \n", - "4 : 5715 656 456 162 153 \n", - "5 : 5855 588 424 130 145 \n", - "6 : 5809 609 416 156 152 \n", - "7 : 5780 664 383 156 159 \n", - "8 : 5810 595 422 153 162 \n", - "9 : 5757 644 405 161 175 \n", - "10 : 5761 665 409 154 153 \n", - "11 : 5738 655 410 177 162 \n", - "12 : 5762 666 414 138 162 \n", - "13 : 5788 696 358 148 164 \n", + "0 : 5826 691 376 111 138 \n", + "1 : 5824 718 351 127 122 \n", + "2 : 5801 705 365 130 141 \n", + "3 : 5825 711 353 120 133 \n", + "4 : 5818 700 364 130 130 \n", + "5 : 5868 689 336 122 127 \n", + "6 : 5839 720 344 113 126 \n", + "7 : 5847 699 360 106 130 \n", + "8 : 5850 672 357 133 130 \n", + "9 : 5850 682 352 128 130 \n", + "10 : 5839 697 325 136 145 \n", + "11 : 5811 714 352 141 124 \n", + "12 : 5909 649 326 127 131 \n", + "13 : 5856 696 353 123 126 \n", "\n", - "T : 80863 9047 5749 2153 2188 [100000]\n", + "T : 81763 9743 4914 1747 1833 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.0457e-02 sec\n", - "--- Collate = 6.8648e-05 sec\n", + "--- Coef/DT = 45.9%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 2.7450e-02 sec\n", + "--- Collate = 8.0199e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.874186e-06 < 6.250000e-03 [1240]\n", - "--- Max DT=1.896145e+00 > 1.000000e-01 [69928]\n", + "--- Min DT=7.222548e-06 < 6.250000e-03 [1061]\n", + "--- Max DT=2.208874e+00 > 1.000000e-01 [68846]\n", "----------------------------------------------------------------------\n", - " Component | low: 1240/100000\n", - " Component | high: 69928/100000\n", + " Component | low: 1061/100000\n", + " Component | high: 68846/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=78.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000518446 [ 0.34 %]\n", - "Velocity : 0.00255517 [ 1.67 %]\n", - "Force : 0.0586417 [ 38.23 %]\n", - "Coefs : 0.0243085 [ 15.85 %]\n", - "Output : 0.000751852 [ 0.49 %]\n", - "Levels : 0.000236169 [ 0.15 %]\n", - "Report : 1.047e-06 [ 0.00 %]\n", - "Balance : 4.55e-07 [ 0.00 %]\n", - "Adjust : 0.0663421 [ 43.25 %]\n", - "Total : 0.153398 [100.00 %]\n", + "Drift : 0.000252183 [ 0.01 %]\n", + "Velocity : 0.00176435 [ 0.07 %]\n", + "Force : 0.430382 [ 16.79 %]\n", + "Coefs : 1.5786 [ 61.60 %]\n", + "Output : 0.000913435 [ 0.04 %]\n", + "Levels : 0.010142 [ 0.40 %]\n", + "Report : 3.37e-07 [ 0.00 %]\n", + "Balance : 1.54e-07 [ 0.00 %]\n", + "Adjust : 0.540526 [ 21.09 %]\n", + "Total : 2.5626 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5794 646 413 135 154 \n", - "1 : 5780 657 407 162 136 \n", - "2 : 5749 672 416 157 148 \n", - "3 : 5777 636 408 156 165 \n", - "4 : 5720 654 454 153 161 \n", - "5 : 5853 589 421 135 144 \n", - "6 : 5804 616 412 165 145 \n", - "7 : 5779 667 387 149 160 \n", - "8 : 5805 608 405 157 167 \n", - "9 : 5761 641 403 160 177 \n", - "10 : 5760 664 409 159 150 \n", - "11 : 5732 650 416 185 159 \n", - "12 : 5767 653 422 141 159 \n", - "13 : 5789 704 357 141 163 \n", + "0 : 5832 686 370 118 136 \n", + "1 : 5827 717 350 127 121 \n", + "2 : 5801 705 373 122 141 \n", + "3 : 5820 711 359 110 142 \n", + "4 : 5819 698 361 137 127 \n", + "5 : 5876 692 327 115 132 \n", + "6 : 5839 719 350 117 117 \n", + "7 : 5848 699 353 118 124 \n", + "8 : 5856 670 354 135 127 \n", + "9 : 5848 685 351 131 127 \n", + "10 : 5836 697 326 145 138 \n", + "11 : 5815 707 361 141 118 \n", + "12 : 5909 651 325 126 131 \n", + "13 : 5861 692 348 130 123 \n", "\n", - "T : 80870 9057 5730 2155 2188 [100000]\n", + "T : 81787 9729 4908 1772 1804 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 1.0392e-02 sec\n", - "--- Collate = 7.1835e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 6.6223e-02 sec\n", + "--- Collate = 1.2079e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.958366e-06 < 6.250000e-03 [1264]\n", - "--- Max DT=1.902739e+00 > 1.000000e-01 [69928]\n", + "--- Min DT=1.644775e-06 < 6.250000e-03 [1086]\n", + "--- Max DT=2.215648e+00 > 1.000000e-01 [68829]\n", "----------------------------------------------------------------------\n", - " Component | low: 1264/100000\n", - " Component | high: 69928/100000\n", + " Component | low: 1086/100000\n", + " Component | high: 68829/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=79] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000489529 [ 0.31 %]\n", - "Velocity : 0.0023221 [ 1.48 %]\n", - "Force : 0.058469 [ 37.17 %]\n", - "Coefs : 0.0239688 [ 15.24 %]\n", - "Output : 0.00479261 [ 3.05 %]\n", - "Levels : 0.000211175 [ 0.13 %]\n", - "Report : 1.182e-06 [ 0.00 %]\n", - "Balance : 5.78e-07 [ 0.00 %]\n", - "Adjust : 0.0670132 [ 42.60 %]\n", - "Total : 0.157309 [100.00 %]\n", + "Drift : 0.000444173 [ 0.01 %]\n", + "Velocity : 0.00293069 [ 0.09 %]\n", + "Force : 0.526979 [ 16.50 %]\n", + "Coefs : 1.87199 [ 58.61 %]\n", + "Output : 0.00603956 [ 0.19 %]\n", + "Levels : 0.00026726 [ 0.01 %]\n", + "Report : 1.205e-06 [ 0.00 %]\n", + "Balance : 4.96e-07 [ 0.00 %]\n", + "Adjust : 0.785136 [ 24.58 %]\n", + "Total : 3.19384 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5795 644 415 130 158 \n", - "1 : 5788 647 407 164 136 \n", - "2 : 5747 668 415 159 153 \n", - "3 : 5776 638 409 163 156 \n", - "4 : 5725 657 440 158 162 \n", - "5 : 5860 585 422 135 140 \n", - "6 : 5801 621 414 157 149 \n", - "7 : 5776 674 385 153 154 \n", - "8 : 5799 614 402 159 168 \n", - "9 : 5759 641 399 173 170 \n", - "10 : 5761 661 412 148 160 \n", - "11 : 5733 653 412 175 169 \n", - "12 : 5773 647 415 149 158 \n", - "13 : 5788 703 361 137 165 \n", + "0 : 5829 689 377 114 133 \n", + "1 : 5822 726 341 126 127 \n", + "2 : 5802 702 377 120 141 \n", + "3 : 5818 718 353 108 145 \n", + "4 : 5820 699 363 130 130 \n", + "5 : 5872 698 324 120 128 \n", + "6 : 5833 726 352 121 110 \n", + "7 : 5850 703 353 114 122 \n", + "8 : 5854 673 347 137 131 \n", + "9 : 5840 695 350 130 127 \n", + "10 : 5837 690 337 146 132 \n", + "11 : 5816 704 366 139 117 \n", + "12 : 5905 658 311 141 127 \n", + "13 : 5858 701 346 134 115 \n", "\n", - "T : 80881 9053 5708 2160 2198 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81756 9782 4897 1780 1785 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 1.0428e-02 sec\n", - "--- Collate = 7.2721e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 5.1701e-02 sec\n", + "--- Collate = 7.0143e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.813465e-06 < 6.250000e-03 [1264]\n", - "--- Max DT=1.909335e+00 > 1.000000e-01 [69914]\n", + "--- Min DT=3.467912e-06 < 6.250000e-03 [1075]\n", + "--- Max DT=2.222425e+00 > 1.000000e-01 [68816]\n", "----------------------------------------------------------------------\n", - " Component | low: 1264/100000\n", - " Component | high: 69914/100000\n", + " Component | low: 1075/100000\n", + " Component | high: 68816/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=79.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000596118 [ 0.38 %]\n", - "Velocity : 0.00241122 [ 1.56 %]\n", - "Force : 0.0587171 [ 37.87 %]\n", - "Coefs : 0.0235797 [ 15.21 %]\n", - "Output : 0.000980958 [ 0.63 %]\n", - "Levels : 0.000179557 [ 0.12 %]\n", - "Report : 1.2e-06 [ 0.00 %]\n", - "Balance : 4.71e-07 [ 0.00 %]\n", - "Adjust : 0.0685188 [ 44.20 %]\n", - "Total : 0.15503 [100.00 %]\n", + "Drift : 0.000894836 [ 0.03 %]\n", + "Velocity : 0.00462023 [ 0.14 %]\n", + "Force : 0.545537 [ 16.70 %]\n", + "Coefs : 1.93506 [ 59.22 %]\n", + "Output : 0.00158308 [ 0.05 %]\n", + "Levels : 0.000267216 [ 0.01 %]\n", + "Report : 6.08e-07 [ 0.00 %]\n", + "Balance : 2.08e-07 [ 0.00 %]\n", + "Adjust : 0.779293 [ 23.85 %]\n", + "Total : 3.26731 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5795 639 419 133 156 \n", - "1 : 5784 650 403 164 141 \n", - "2 : 5754 648 435 156 149 \n", - "3 : 5776 625 428 144 169 \n", - "4 : 5727 657 443 160 155 \n", - "5 : 5855 589 424 144 130 \n", - "6 : 5801 614 415 164 148 \n", - "7 : 5782 663 390 151 156 \n", - "8 : 5799 611 407 153 172 \n", - "9 : 5756 641 401 177 167 \n", - "10 : 5760 662 407 149 164 \n", - "11 : 5735 650 426 164 167 \n", - "12 : 5772 649 420 144 157 \n", - "13 : 5787 704 362 136 165 \n", + "0 : 5831 681 377 118 135 \n", + "1 : 5833 713 344 126 126 \n", + "2 : 5802 704 381 114 141 \n", + "3 : 5825 711 357 112 137 \n", + "4 : 5819 708 352 127 136 \n", + "5 : 5875 695 331 112 129 \n", + "6 : 5833 730 347 119 113 \n", + "7 : 5843 700 362 118 119 \n", + "8 : 5851 672 363 121 135 \n", + "9 : 5842 697 349 129 125 \n", + "10 : 5832 704 333 148 125 \n", + "11 : 5812 716 357 139 118 \n", + "12 : 5905 661 301 152 123 \n", + "13 : 5858 702 346 135 113 \n", "\n", - "T : 80883 9002 5780 2139 2196 [100000]\n", + "T : 81761 9794 4900 1770 1775 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0419e-02 sec\n", - "--- Collate = 6.6046e-05 sec\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 5.5290e-02 sec\n", + "--- Collate = 1.1010e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.002427e-06 < 6.250000e-03 [1257]\n", - "--- Max DT=1.915935e+00 > 1.000000e-01 [69914]\n", + "--- Min DT=1.839449e-06 < 6.250000e-03 [1056]\n", + "--- Max DT=2.229204e+00 > 1.000000e-01 [68828]\n", "----------------------------------------------------------------------\n", - " Component | low: 1257/100000\n", - " Component | high: 69914/100000\n", + " Component | low: 1056/100000\n", + " Component | high: 68828/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=79.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00051406 [ 0.34 %]\n", - "Velocity : 0.00292961 [ 1.92 %]\n", - "Force : 0.0581678 [ 38.11 %]\n", - "Coefs : 0.0234676 [ 15.38 %]\n", - "Output : 0.000774632 [ 0.51 %]\n", - "Levels : 0.000209473 [ 0.14 %]\n", - "Report : 1.276e-06 [ 0.00 %]\n", - "Balance : 2.76e-07 [ 0.00 %]\n", - "Adjust : 0.0665157 [ 43.58 %]\n", - "Total : 0.152625 [100.00 %]\n", + "Drift : 0.000894999 [ 0.03 %]\n", + "Velocity : 0.00478823 [ 0.14 %]\n", + "Force : 0.56411 [ 16.51 %]\n", + "Coefs : 2.12216 [ 62.12 %]\n", + "Output : 0.00158158 [ 0.05 %]\n", + "Levels : 0.000316095 [ 0.01 %]\n", + "Report : 1.272e-06 [ 0.00 %]\n", + "Balance : 3.33e-07 [ 0.00 %]\n", + "Adjust : 0.722288 [ 21.14 %]\n", + "Total : 3.41621 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5795 643 418 123 163 \n", - "1 : 5783 650 409 152 148 \n", - "2 : 5752 652 436 161 141 \n", - "3 : 5776 623 434 138 171 \n", - "4 : 5730 654 450 154 154 \n", - "5 : 5849 598 428 138 129 \n", - "6 : 5800 612 415 174 141 \n", - "7 : 5781 665 399 131 166 \n", - "8 : 5795 619 402 148 178 \n", - "9 : 5758 647 401 162 174 \n", - "10 : 5760 662 400 157 163 \n", - "11 : 5732 646 442 146 176 \n", - "12 : 5772 651 408 162 149 \n", - "13 : 5782 700 373 136 163 \n", + "0 : 5823 693 374 120 132 \n", + "1 : 5835 711 342 132 122 \n", + "2 : 5797 717 370 124 134 \n", + "3 : 5831 708 351 119 133 \n", + "4 : 5820 714 351 124 133 \n", + "5 : 5870 699 327 122 124 \n", + "6 : 5832 734 351 108 117 \n", + "7 : 5841 703 361 107 130 \n", + "8 : 5845 689 351 121 136 \n", + "9 : 5847 685 357 131 122 \n", + "10 : 5827 710 336 145 124 \n", + "11 : 5807 714 359 140 122 \n", + "12 : 5895 669 303 138 137 \n", + "13 : 5856 705 343 147 103 \n", "\n", - "T : 80865 9022 5815 2082 2216 [100000]\n", + "T : 81726 9851 4876 1778 1769 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", + "--- Coef/DT = 1.6%\n", "--- Adj/Tot = 1.9%\n", - "--- Update = 1.0852e-02 sec\n", - "--- Collate = 7.9634e-05 sec\n", + "--- Update = 4.8350e-02 sec\n", + "--- Collate = 3.0277e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.740024e-06 < 6.250000e-03 [1280]\n", - "--- Max DT=1.922538e+00 > 1.000000e-01 [69919]\n", + "--- Min DT=4.867681e-06 < 6.250000e-03 [1069]\n", + "--- Max DT=2.235986e+00 > 1.000000e-01 [68818]\n", "----------------------------------------------------------------------\n", - " Component | low: 1280/100000\n", - " Component | high: 69919/100000\n", + " Component | low: 1069/100000\n", + " Component | high: 68818/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=79.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000640647 [ 0.39 %]\n", - "Velocity : 0.00360949 [ 2.20 %]\n", - "Force : 0.0609168 [ 37.21 %]\n", - "Coefs : 0.0241365 [ 14.74 %]\n", - "Output : 0.00115535 [ 0.71 %]\n", - "Levels : 0.000283559 [ 0.17 %]\n", - "Report : 1.148e-06 [ 0.00 %]\n", - "Balance : 6.46e-07 [ 0.00 %]\n", - "Adjust : 0.072916 [ 44.54 %]\n", - "Total : 0.163722 [100.00 %]\n", + "Drift : 0.000978812 [ 0.03 %]\n", + "Velocity : 0.00597454 [ 0.17 %]\n", + "Force : 0.597689 [ 17.15 %]\n", + "Coefs : 2.13577 [ 61.28 %]\n", + "Output : 0.00146081 [ 0.04 %]\n", + "Levels : 0.000298175 [ 0.01 %]\n", + "Report : 1.32e-06 [ 0.00 %]\n", + "Balance : 5.79e-07 [ 0.00 %]\n", + "Adjust : 0.743165 [ 21.32 %]\n", + "Total : 3.4854 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5797 634 418 144 149 \n", - "1 : 5789 643 412 149 149 \n", - "2 : 5749 655 433 164 141 \n", - "3 : 5771 627 435 144 165 \n", - "4 : 5730 651 448 155 158 \n", - "5 : 5847 596 432 138 129 \n", - "6 : 5805 605 416 170 146 \n", - "7 : 5783 658 399 136 166 \n", - "8 : 5794 622 390 154 182 \n", - "9 : 5762 643 404 165 168 \n", - "10 : 5762 663 393 167 157 \n", - "11 : 5735 650 427 160 170 \n", - "12 : 5778 643 409 159 153 \n", - "13 : 5788 690 379 134 163 \n", + "0 : 5824 690 374 123 131 \n", + "1 : 5844 705 340 133 120 \n", + "2 : 5799 721 365 119 138 \n", + "3 : 5831 702 361 116 132 \n", + "4 : 5819 708 359 117 139 \n", + "5 : 5871 698 330 127 116 \n", + "6 : 5833 744 341 115 109 \n", + "7 : 5836 711 359 102 134 \n", + "8 : 5848 684 348 130 132 \n", + "9 : 5846 688 355 124 129 \n", + "10 : 5822 713 339 142 126 \n", + "11 : 5811 710 360 138 123 \n", + "12 : 5891 676 310 137 128 \n", + "13 : 5854 709 349 134 108 \n", "\n", - "T : 80890 8980 5795 2139 2196 [100000]\n", + "T : 81729 9859 4890 1757 1765 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.1519e-02 sec\n", - "--- Collate = 8.6094e-05 sec\n", + "--- Coef/DT = 21.2%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 3.9182e-02 sec\n", + "--- Collate = 3.0355e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.416082e-06 < 6.250000e-03 [1267]\n", - "--- Max DT=1.929143e+00 > 1.000000e-01 [69893]\n", + "--- Min DT=1.319196e-06 < 6.250000e-03 [1053]\n", + "--- Max DT=2.242771e+00 > 1.000000e-01 [68800]\n", "----------------------------------------------------------------------\n", - " Component | low: 1267/100000\n", - " Component | high: 69893/100000\n", + " Component | low: 1053/100000\n", + " Component | high: 68800/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=79.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000854496 [ 0.51 %]\n", - "Velocity : 0.00341153 [ 2.04 %]\n", - "Force : 0.0617719 [ 36.87 %]\n", - "Coefs : 0.0239723 [ 14.31 %]\n", - "Output : 0.00131631 [ 0.79 %]\n", - "Levels : 0.000250833 [ 0.15 %]\n", - "Report : 1.582e-06 [ 0.00 %]\n", - "Balance : 5.41e-07 [ 0.00 %]\n", - "Adjust : 0.0759104 [ 45.30 %]\n", - "Total : 0.167556 [100.00 %]\n", + "Drift : 0.00109128 [ 0.04 %]\n", + "Velocity : 0.00587193 [ 0.21 %]\n", + "Force : 0.534926 [ 19.25 %]\n", + "Coefs : 1.59837 [ 57.53 %]\n", + "Output : 0.00123501 [ 0.04 %]\n", + "Levels : 0.000273327 [ 0.01 %]\n", + "Report : 7.28e-07 [ 0.00 %]\n", + "Balance : 3.6e-07 [ 0.00 %]\n", + "Adjust : 0.636651 [ 22.91 %]\n", + "Total : 2.77847 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5794 639 403 153 153 \n", - "1 : 5788 647 419 133 155 \n", - "2 : 5748 656 434 161 143 \n", - "3 : 5780 623 429 140 170 \n", - "4 : 5731 648 449 160 154 \n", - "5 : 5846 599 429 136 132 \n", - "6 : 5804 604 414 170 150 \n", - "7 : 5783 658 398 137 166 \n", - "8 : 5796 623 387 153 183 \n", - "9 : 5756 650 405 160 171 \n", - "10 : 5760 670 396 154 162 \n", - "11 : 5728 662 427 153 172 \n", - "12 : 5779 646 404 162 151 \n", - "13 : 5790 681 383 142 158 \n", + "0 : 5819 699 370 117 137 \n", + "1 : 5839 705 343 128 127 \n", + "2 : 5803 716 369 117 137 \n", + "3 : 5836 700 357 121 128 \n", + "4 : 5818 709 361 111 143 \n", + "5 : 5872 702 330 119 119 \n", + "6 : 5836 747 335 115 109 \n", + "7 : 5834 710 360 106 132 \n", + "8 : 5846 685 356 122 133 \n", + "9 : 5845 694 359 118 126 \n", + "10 : 5815 718 345 143 121 \n", + "11 : 5802 719 367 124 130 \n", + "12 : 5885 681 323 111 142 \n", + "13 : 5853 710 349 133 109 \n", "\n", - "T : 80883 9006 5777 2114 2220 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81703 9895 4924 1685 1793 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 1.0846e-02 sec\n", - "--- Collate = 8.9232e-05 sec\n", + "--- Coef/DT = 27.4%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 6.2388e-02 sec\n", + "--- Collate = 8.0324e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.160768e-07 < 6.250000e-03 [1287]\n", - "--- Max DT=1.935752e+00 > 1.000000e-01 [69889]\n", + "--- Min DT=3.591683e-06 < 6.250000e-03 [1048]\n", + "--- Max DT=2.249558e+00 > 1.000000e-01 [68783]\n", "----------------------------------------------------------------------\n", - " Component | low: 1287/100000\n", - " Component | high: 69889/100000\n", + " Component | low: 1048/100000\n", + " Component | high: 68783/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=79.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000841724 [ 0.41 %]\n", - "Velocity : 0.00322465 [ 1.57 %]\n", - "Force : 0.0762347 [ 37.12 %]\n", - "Coefs : 0.0335668 [ 16.35 %]\n", - "Output : 0.00118433 [ 0.58 %]\n", - "Levels : 0.00025163 [ 0.12 %]\n", - "Report : 1.36e-06 [ 0.00 %]\n", - "Balance : 6.02e-07 [ 0.00 %]\n", - "Adjust : 0.0899834 [ 43.82 %]\n", - "Total : 0.205351 [100.00 %]\n", + "Drift : 0.000860225 [ 0.02 %]\n", + "Velocity : 0.00919686 [ 0.22 %]\n", + "Force : 0.680858 [ 16.63 %]\n", + "Coefs : 2.4409 [ 59.61 %]\n", + "Output : 0.00281982 [ 0.07 %]\n", + "Levels : 0.000372639 [ 0.01 %]\n", + "Report : 1.13e-06 [ 0.00 %]\n", + "Balance : 4.22e-07 [ 0.00 %]\n", + "Adjust : 0.9594 [ 23.43 %]\n", + "Total : 4.09448 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5784 648 406 155 149 \n", - "1 : 5780 653 421 133 155 \n", - "2 : 5757 645 443 159 138 \n", - "3 : 5779 628 420 161 154 \n", - "4 : 5732 655 441 162 152 \n", - "5 : 5850 591 433 136 132 \n", - "6 : 5808 608 407 161 158 \n", - "7 : 5790 641 416 134 161 \n", - "8 : 5787 633 379 159 184 \n", - "9 : 5755 647 416 159 165 \n", - "10 : 5755 672 388 160 167 \n", - "11 : 5732 648 436 152 174 \n", - "12 : 5780 650 402 152 158 \n", - "13 : 5791 675 387 145 156 \n", + "0 : 5820 705 354 128 135 \n", + "1 : 5841 703 345 127 126 \n", + "2 : 5803 720 359 120 140 \n", + "3 : 5836 698 368 115 125 \n", + "4 : 5825 696 364 127 130 \n", + "5 : 5872 703 329 117 121 \n", + "6 : 5838 746 344 111 103 \n", + "7 : 5837 709 355 105 136 \n", + "8 : 5849 679 361 122 131 \n", + "9 : 5846 695 352 129 120 \n", + "10 : 5816 712 359 137 118 \n", + "11 : 5803 716 358 136 129 \n", + "12 : 5882 676 329 120 135 \n", + "13 : 5856 712 342 136 108 \n", "\n", - "T : 80880 8994 5795 2128 2203 [100000]\n", + "T : 81724 9870 4919 1730 1757 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", + "--- Coef/DT = 22.1%\n", "--- Adj/Tot = 1.8%\n", - "--- Update = 1.0733e-02 sec\n", - "--- Collate = 6.8755e-05 sec\n", + "--- Update = 8.4849e-02 sec\n", + "--- Collate = 2.9362e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.564791e-07 < 6.250000e-03 [1297]\n", - "--- Max DT=1.942363e+00 > 1.000000e-01 [69889]\n", + "--- Min DT=2.426491e-06 < 6.250000e-03 [1064]\n", + "--- Max DT=2.256347e+00 > 1.000000e-01 [68770]\n", "----------------------------------------------------------------------\n", - " Component | low: 1297/100000\n", - " Component | high: 69889/100000\n", + " Component | low: 1064/100000\n", + " Component | high: 68770/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=79.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000805431 [ 0.51 %]\n", - "Velocity : 0.00228922 [ 1.45 %]\n", - "Force : 0.0612533 [ 38.85 %]\n", - "Coefs : 0.0245409 [ 15.56 %]\n", - "Output : 0.000701847 [ 0.45 %]\n", - "Levels : 0.000169124 [ 0.11 %]\n", - "Report : 1.244e-06 [ 0.00 %]\n", - "Balance : 5.28e-07 [ 0.00 %]\n", - "Adjust : 0.0678738 [ 43.04 %]\n", - "Total : 0.157682 [100.00 %]\n", + "Drift : 0.000591765 [ 0.01 %]\n", + "Velocity : 0.00378101 [ 0.07 %]\n", + "Force : 0.797113 [ 15.08 %]\n", + "Coefs : 3.41749 [ 64.66 %]\n", + "Output : 0.00130029 [ 0.02 %]\n", + "Levels : 0.000271523 [ 0.01 %]\n", + "Report : 6.4e-07 [ 0.00 %]\n", + "Balance : 4.39e-07 [ 0.00 %]\n", + "Adjust : 1.06444 [ 20.14 %]\n", + "Total : 5.28505 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5786 648 406 156 146 \n", - "1 : 5777 653 415 146 151 \n", - "2 : 5759 649 445 148 141 \n", - "3 : 5778 632 419 156 157 \n", - "4 : 5735 644 447 160 156 \n", - "5 : 5847 594 434 135 132 \n", - "6 : 5809 610 414 145 164 \n", - "7 : 5788 651 410 136 157 \n", - "8 : 5784 629 391 169 169 \n", - "9 : 5745 660 419 153 165 \n", - "10 : 5755 673 380 168 166 \n", - "11 : 5728 650 435 150 179 \n", - "12 : 5779 655 409 137 162 \n", - "13 : 5789 672 386 158 149 \n", + "0 : 5818 708 352 127 137 \n", + "1 : 5835 706 347 127 127 \n", + "2 : 5805 713 365 115 144 \n", + "3 : 5835 712 359 113 123 \n", + "4 : 5829 695 355 135 128 \n", + "5 : 5867 704 334 125 112 \n", + "6 : 5840 741 350 112 99 \n", + "7 : 5836 718 343 105 140 \n", + "8 : 5850 677 365 112 138 \n", + "9 : 5846 701 341 134 120 \n", + "10 : 5809 723 358 130 122 \n", + "11 : 5802 720 366 128 126 \n", + "12 : 5875 687 338 111 131 \n", + "13 : 5855 711 339 138 111 \n", "\n", - "T : 80859 9020 5810 2117 2194 [100000]\n", + "T : 81702 9916 4912 1712 1758 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 1.1087e-02 sec\n", - "--- Collate = 8.0623e-05 sec\n", + "--- Coef/DT = 2.2%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 4.8333e-02 sec\n", + "--- Collate = 1.3924e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.436877e-07 < 6.250000e-03 [1299]\n", - "--- Max DT=1.948977e+00 > 1.000000e-01 [69864]\n", + "--- Min DT=2.009069e-07 < 6.250000e-03 [1057]\n", + "--- Max DT=2.263140e+00 > 1.000000e-01 [68767]\n", "----------------------------------------------------------------------\n", - " Component | low: 1299/100000\n", - " Component | high: 69864/100000\n", + " Component | low: 1057/100000\n", + " Component | high: 68767/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=79.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000598179 [ 0.38 %]\n", - "Velocity : 0.00253493 [ 1.62 %]\n", - "Force : 0.0593134 [ 37.89 %]\n", - "Coefs : 0.0249485 [ 15.94 %]\n", - "Output : 0.000757555 [ 0.48 %]\n", - "Levels : 0.00020251 [ 0.13 %]\n", - "Report : 1.234e-06 [ 0.00 %]\n", - "Balance : 4.42e-07 [ 0.00 %]\n", - "Adjust : 0.0681307 [ 43.52 %]\n", - "Total : 0.156535 [100.00 %]\n", + "Drift : 0.00102293 [ 0.03 %]\n", + "Velocity : 0.00299807 [ 0.08 %]\n", + "Force : 0.625153 [ 17.37 %]\n", + "Coefs : 2.20447 [ 61.26 %]\n", + "Output : 0.00144296 [ 0.04 %]\n", + "Levels : 0.000410532 [ 0.01 %]\n", + "Report : 1.442e-06 [ 0.00 %]\n", + "Balance : 4.64e-07 [ 0.00 %]\n", + "Adjust : 0.762998 [ 21.20 %]\n", + "Total : 3.59854 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5788 651 403 145 155 \n", - "1 : 5781 644 421 148 148 \n", - "2 : 5762 654 440 143 143 \n", - "3 : 5783 627 423 156 153 \n", - "4 : 5728 654 443 159 158 \n", - "5 : 5846 595 436 128 137 \n", - "6 : 5806 598 420 152 166 \n", - "7 : 5785 657 403 142 155 \n", - "8 : 5792 623 388 166 173 \n", - "9 : 5743 652 423 157 167 \n", - "10 : 5746 681 384 167 164 \n", - "11 : 5731 647 432 154 178 \n", - "12 : 5773 659 418 131 161 \n", - "13 : 5794 668 385 166 141 \n", + "0 : 5819 705 359 118 141 \n", + "1 : 5831 712 351 130 118 \n", + "2 : 5805 713 368 113 143 \n", + "3 : 5836 704 365 117 120 \n", + "4 : 5817 709 359 134 123 \n", + "5 : 5869 709 332 109 123 \n", + "6 : 5838 750 340 119 95 \n", + "7 : 5844 705 347 113 133 \n", + "8 : 5846 682 372 113 129 \n", + "9 : 5853 689 355 128 117 \n", + "10 : 5815 711 370 121 125 \n", + "11 : 5804 720 363 132 123 \n", + "12 : 5872 696 339 100 135 \n", + "13 : 5859 703 351 131 110 \n", "\n", - "T : 80858 9010 5819 2114 2199 [100000]\n", + "T : 81708 9908 4971 1678 1735 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.4%\n", + "--- Coef/DT = 2.0%\n", "--- Adj/Tot = 2.0%\n", - "--- Update = 1.0309e-02 sec\n", - "--- Collate = 7.7647e-05 sec\n", + "--- Update = 5.4467e-02 sec\n", + "--- Collate = 3.9655e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.125420e-06 < 6.250000e-03 [1313]\n", - "--- Max DT=1.955594e+00 > 1.000000e-01 [69852]\n", + "--- Min DT=3.036120e-06 < 6.250000e-03 [1030]\n", + "--- Max DT=2.269935e+00 > 1.000000e-01 [68757]\n", "----------------------------------------------------------------------\n", - " Component | low: 1313/100000\n", - " Component | high: 69852/100000\n", + " Component | low: 1030/100000\n", + " Component | high: 68757/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=79.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000725158 [ 0.46 %]\n", - "Velocity : 0.00241066 [ 1.54 %]\n", - "Force : 0.059678 [ 38.00 %]\n", - "Coefs : 0.0248238 [ 15.81 %]\n", - "Output : 0.000898073 [ 0.57 %]\n", - "Levels : 0.000268046 [ 0.17 %]\n", - "Report : 1.45e-06 [ 0.00 %]\n", - "Balance : 5.95e-07 [ 0.00 %]\n", - "Adjust : 0.068187 [ 43.42 %]\n", - "Total : 0.157035 [100.00 %]\n", + "Drift : 0.000553172 [ 0.02 %]\n", + "Velocity : 0.00520169 [ 0.17 %]\n", + "Force : 0.499284 [ 16.10 %]\n", + "Coefs : 1.90038 [ 61.29 %]\n", + "Output : 0.00158005 [ 0.05 %]\n", + "Levels : 0.000280611 [ 0.01 %]\n", + "Report : 1.032e-06 [ 0.00 %]\n", + "Balance : 4.67e-07 [ 0.00 %]\n", + "Adjust : 0.693275 [ 22.36 %]\n", + "Total : 3.10061 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5793 646 400 146 157 \n", - "1 : 5783 640 429 142 148 \n", - "2 : 5759 667 431 138 147 \n", - "3 : 5785 628 422 144 163 \n", - "4 : 5724 657 444 157 160 \n", - "5 : 5849 602 426 126 139 \n", - "6 : 5806 596 423 144 173 \n", - "7 : 5781 652 409 142 158 \n", - "8 : 5798 618 387 169 170 \n", - "9 : 5739 649 439 152 163 \n", - "10 : 5749 681 381 167 164 \n", - "11 : 5733 647 438 151 173 \n", - "12 : 5772 669 403 143 155 \n", - "13 : 5797 659 397 161 140 \n", + "0 : 5815 709 355 127 136 \n", + "1 : 5830 714 352 118 128 \n", + "2 : 5804 721 359 116 142 \n", + "3 : 5828 708 366 123 117 \n", + "4 : 5817 709 361 124 131 \n", + "5 : 5868 703 337 116 118 \n", + "6 : 5842 739 350 112 99 \n", + "7 : 5841 703 345 129 124 \n", + "8 : 5845 690 364 110 133 \n", + "9 : 5843 695 369 119 116 \n", + "10 : 5810 711 370 126 125 \n", + "11 : 5808 725 362 118 129 \n", + "12 : 5866 703 336 106 131 \n", + "13 : 5859 707 348 133 107 \n", "\n", - "T : 80868 9011 5829 2082 2210 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81676 9937 4974 1677 1736 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.0555e-02 sec\n", - "--- Collate = 6.8866e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 6.2207e-02 sec\n", + "--- Collate = 5.0539e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.091395e-06 < 6.250000e-03 [1315]\n", - "--- Max DT=1.962214e+00 > 1.000000e-01 [69850]\n", + "--- Min DT=4.197432e-07 < 6.250000e-03 [998]\n", + "--- Max DT=2.276732e+00 > 1.000000e-01 [68730]\n", "----------------------------------------------------------------------\n", - " Component | low: 1315/100000\n", - " Component | high: 69850/100000\n", + " Component | low: 998/100000\n", + " Component | high: 68730/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=79.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000846055 [ 0.55 %]\n", - "Velocity : 0.00235318 [ 1.52 %]\n", - "Force : 0.0586175 [ 37.86 %]\n", - "Coefs : 0.0242126 [ 15.64 %]\n", - "Output : 0.000838627 [ 0.54 %]\n", - "Levels : 0.000193933 [ 0.13 %]\n", - "Report : 1.288e-06 [ 0.00 %]\n", - "Balance : 3.73e-07 [ 0.00 %]\n", - "Adjust : 0.0677262 [ 43.74 %]\n", - "Total : 0.154836 [100.00 %]\n", + "Drift : 0.000750383 [ 0.03 %]\n", + "Velocity : 0.00398478 [ 0.14 %]\n", + "Force : 0.491159 [ 17.55 %]\n", + "Coefs : 1.60231 [ 57.27 %]\n", + "Output : 0.0014533 [ 0.05 %]\n", + "Levels : 0.000265065 [ 0.01 %]\n", + "Report : 9.23e-07 [ 0.00 %]\n", + "Balance : 4.93e-07 [ 0.00 %]\n", + "Adjust : 0.698062 [ 24.95 %]\n", + "Total : 2.79803 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5801 639 406 134 162 \n", - "1 : 5780 642 427 141 152 \n", - "2 : 5760 658 431 143 150 \n", - "3 : 5778 639 427 141 157 \n", - "4 : 5727 658 442 149 166 \n", - "5 : 5849 604 424 130 135 \n", - "6 : 5800 592 437 140 173 \n", - "7 : 5782 651 401 148 160 \n", - "8 : 5798 615 395 163 171 \n", - "9 : 5741 656 439 143 163 \n", - "10 : 5752 677 386 164 163 \n", - "11 : 5731 657 425 164 165 \n", - "12 : 5771 671 401 143 156 \n", - "13 : 5796 658 411 145 144 \n", + "0 : 5817 717 343 128 137 \n", + "1 : 5835 704 356 122 125 \n", + "2 : 5803 716 356 119 148 \n", + "3 : 5832 704 365 126 115 \n", + "4 : 5816 712 362 122 130 \n", + "5 : 5869 708 333 120 112 \n", + "6 : 5845 743 345 104 105 \n", + "7 : 5840 709 343 126 124 \n", + "8 : 5846 694 358 118 126 \n", + "9 : 5853 687 369 114 119 \n", + "10 : 5817 706 374 119 126 \n", + "11 : 5820 711 364 124 123 \n", + "12 : 5865 709 329 109 130 \n", + "13 : 5868 689 360 131 106 \n", "\n", - "T : 80866 9017 5852 2048 2217 [100000]\n", + "T : 81726 9909 4957 1682 1726 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.4%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.0506e-02 sec\n", - "--- Collate = 6.3304e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 4.3482e-02 sec\n", + "--- Collate = 6.0522e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.976098e-06 < 6.250000e-03 [1343]\n", - "--- Max DT=1.968837e+00 > 1.000000e-01 [69852]\n", + "--- Min DT=4.086492e-07 < 6.250000e-03 [977]\n", + "--- Max DT=2.283532e+00 > 1.000000e-01 [68715]\n", "----------------------------------------------------------------------\n", - " Component | low: 1343/100000\n", - " Component | high: 69852/100000\n", + " Component | low: 977/100000\n", + " Component | high: 68715/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=80] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000561834 [ 0.36 %]\n", - "Velocity : 0.00185604 [ 1.18 %]\n", - "Force : 0.058599 [ 37.40 %]\n", - "Coefs : 0.024116 [ 15.39 %]\n", - "Output : 0.00464671 [ 2.97 %]\n", - "Levels : 0.000184504 [ 0.12 %]\n", - "Report : 1.397e-06 [ 0.00 %]\n", - "Balance : 6.12e-07 [ 0.00 %]\n", - "Adjust : 0.0666836 [ 42.56 %]\n", - "Total : 0.15669 [100.00 %]\n", + "Drift : 0.00083614 [ 0.03 %]\n", + "Velocity : 0.00306475 [ 0.10 %]\n", + "Force : 0.473715 [ 15.36 %]\n", + "Coefs : 1.96319 [ 63.66 %]\n", + "Output : 0.0112594 [ 0.37 %]\n", + "Levels : 0.000277847 [ 0.01 %]\n", + "Report : 1.326e-06 [ 0.00 %]\n", + "Balance : 4.13e-07 [ 0.00 %]\n", + "Adjust : 0.631306 [ 20.47 %]\n", + "Total : 3.08371 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5802 647 403 126 164 \n", - "1 : 5782 635 431 141 153 \n", - "2 : 5760 662 423 145 152 \n", - "3 : 5792 619 433 144 154 \n", - "4 : 5727 669 430 149 167 \n", - "5 : 5852 603 420 125 142 \n", - "6 : 5798 598 428 146 172 \n", - "7 : 5784 653 393 151 161 \n", - "8 : 5801 616 396 158 171 \n", - "9 : 5745 657 438 142 160 \n", - "10 : 5755 668 395 156 168 \n", - "11 : 5739 658 414 171 160 \n", - "12 : 5776 663 404 141 158 \n", - "13 : 5792 664 408 150 140 \n", + "0 : 5815 719 346 132 130 \n", + "1 : 5829 713 355 116 129 \n", + "2 : 5809 714 356 118 145 \n", + "3 : 5830 704 361 136 111 \n", + "4 : 5814 715 365 127 121 \n", + "5 : 5873 706 336 115 112 \n", + "6 : 5846 740 334 127 95 \n", + "7 : 5838 718 347 114 125 \n", + "8 : 5844 696 366 112 124 \n", + "9 : 5855 687 368 116 116 \n", + "10 : 5820 703 364 135 120 \n", + "11 : 5810 727 359 122 124 \n", + "12 : 5868 710 327 108 129 \n", + "13 : 5865 701 363 126 99 \n", "\n", - "T : 80905 9012 5816 2045 2222 [100000]\n", + "T : 81716 9953 4947 1704 1680 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", + "--- Coef/DT = 30.4%\n", "--- Adj/Tot = 1.9%\n", - "--- Update = 1.0410e-02 sec\n", - "--- Collate = 5.8829e-05 sec\n", + "--- Update = 5.7296e-02 sec\n", + "--- Collate = 1.6017e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.030889e-08 < 6.250000e-03 [1347]\n", - "--- Max DT=1.975463e+00 > 1.000000e-01 [69849]\n", + "--- Min DT=2.492470e-06 < 6.250000e-03 [972]\n", + "--- Max DT=2.290334e+00 > 1.000000e-01 [68717]\n", "----------------------------------------------------------------------\n", - " Component | low: 1347/100000\n", - " Component | high: 69849/100000\n", + " Component | low: 972/100000\n", + " Component | high: 68717/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=80.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00058985 [ 0.38 %]\n", - "Velocity : 0.00211276 [ 1.37 %]\n", - "Force : 0.0591251 [ 38.34 %]\n", - "Coefs : 0.0240307 [ 15.58 %]\n", - "Output : 0.000711515 [ 0.46 %]\n", - "Levels : 0.000190581 [ 0.12 %]\n", - "Report : 1.264e-06 [ 0.00 %]\n", - "Balance : 5.69e-07 [ 0.00 %]\n", - "Adjust : 0.0674265 [ 43.72 %]\n", - "Total : 0.154231 [100.00 %]\n", + "Drift : 0.000633854 [ 0.02 %]\n", + "Velocity : 0.00304261 [ 0.10 %]\n", + "Force : 0.534783 [ 17.39 %]\n", + "Coefs : 1.84593 [ 60.04 %]\n", + "Output : 0.00149451 [ 0.05 %]\n", + "Levels : 0.000277462 [ 0.01 %]\n", + "Report : 4.31e-07 [ 0.00 %]\n", + "Balance : 3.94e-07 [ 0.00 %]\n", + "Adjust : 0.688411 [ 22.39 %]\n", + "Total : 3.07463 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5801 648 393 137 163 \n", - "1 : 5782 638 425 147 150 \n", - "2 : 5760 656 424 140 162 \n", - "3 : 5788 632 429 135 158 \n", - "4 : 5728 670 430 154 160 \n", - "5 : 5845 614 422 118 143 \n", - "6 : 5796 600 434 142 170 \n", - "7 : 5788 654 383 156 161 \n", - "8 : 5806 615 395 149 177 \n", - "9 : 5753 645 448 129 167 \n", - "10 : 5750 673 403 148 168 \n", - "11 : 5731 671 413 171 156 \n", - "12 : 5774 661 407 138 162 \n", - "13 : 5793 665 406 148 142 \n", + "0 : 5809 722 350 130 131 \n", + "1 : 5831 710 357 122 122 \n", + "2 : 5814 710 360 121 137 \n", + "3 : 5824 701 376 125 116 \n", + "4 : 5806 714 376 117 129 \n", + "5 : 5874 702 345 116 105 \n", + "6 : 5850 732 336 138 86 \n", + "7 : 5838 719 356 107 122 \n", + "8 : 5843 704 354 124 117 \n", + "9 : 5851 685 373 113 120 \n", + "10 : 5823 694 369 143 113 \n", + "11 : 5806 732 358 126 120 \n", + "12 : 5870 706 332 113 121 \n", + "13 : 5870 698 358 136 92 \n", "\n", - "T : 80895 9042 5812 2012 2239 [100000]\n", + "T : 81709 9929 5000 1731 1631 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 1.0750e-02 sec\n", - "--- Collate = 6.1041e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 7.2014e-02 sec\n", + "--- Collate = 2.3473e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.125329e-07 < 6.250000e-03 [1345]\n", - "--- Max DT=1.982091e+00 > 1.000000e-01 [69836]\n", + "--- Min DT=3.523474e-06 < 6.250000e-03 [949]\n", + "--- Max DT=2.297140e+00 > 1.000000e-01 [68701]\n", "----------------------------------------------------------------------\n", - " Component | low: 1345/100000\n", - " Component | high: 69836/100000\n", + " Component | low: 949/100000\n", + " Component | high: 68701/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=80.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000567438 [ 0.37 %]\n", - "Velocity : 0.00221241 [ 1.44 %]\n", - "Force : 0.0580504 [ 37.79 %]\n", - "Coefs : 0.0242103 [ 15.76 %]\n", - "Output : 0.000671032 [ 0.44 %]\n", - "Levels : 0.000233768 [ 0.15 %]\n", - "Report : 1.132e-06 [ 0.00 %]\n", - "Balance : 3.71e-07 [ 0.00 %]\n", - "Adjust : 0.067621 [ 44.02 %]\n", - "Total : 0.15361 [100.00 %]\n", - "----------------------------------------------------------------------\n", - "\n", - "----------------------------------------------------------------------\n", - "--- Level info--------------------------------------------------------\n", - "----------------------------------------------------------------------\n", - "0 : 5801 653 377 152 159 \n", - "1 : 5782 634 419 161 146 \n", - "2 : 5755 671 424 134 158 \n", - "3 : 5790 631 428 140 153 \n", - "4 : 5725 668 437 147 165 \n", - "5 : 5834 622 428 115 143 \n", - "6 : 5798 596 436 147 165 \n", - "7 : 5783 647 390 164 158 \n", - "8 : 5800 617 402 148 175 \n", - "9 : 5751 645 438 144 164 \n", - "10 : 5748 676 405 140 173 \n", - "11 : 5726 675 407 177 157 \n", - "12 : 5776 653 414 128 171 \n", - "13 : 5790 668 414 146 136 \n", - "\n", - "T : 80859 9056 5819 2043 2223 [100000]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00268332 [ 0.08 %]\n", + "Velocity : 0.00387653 [ 0.11 %]\n", + "Force : 0.712042 [ 20.02 %]\n", + "Coefs : 2.09685 [ 58.96 %]\n", + "Output : 0.00163214 [ 0.05 %]\n", + "Levels : 0.000304661 [ 0.01 %]\n", + "Report : 6.42e-07 [ 0.00 %]\n", + "Balance : 3.26e-07 [ 0.00 %]\n", + "Adjust : 0.739019 [ 20.78 %]\n", + "Total : 3.55646 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5808 727 345 128 134 \n", + "1 : 5836 706 369 112 119 \n", + "2 : 5820 706 360 121 135 \n", + "3 : 5826 699 375 128 114 \n", + "4 : 5809 719 373 116 125 \n", + "5 : 5875 703 343 121 100 \n", + "6 : 5852 729 341 131 89 \n", + "7 : 5836 722 354 107 123 \n", + "8 : 5845 697 354 130 116 \n", + "9 : 5859 681 365 123 114 \n", + "10 : 5825 686 370 145 116 \n", + "11 : 5804 735 363 133 107 \n", + "12 : 5867 716 330 108 121 \n", + "13 : 5861 710 363 125 95 \n", + "\n", + "T : 81723 9936 5005 1728 1608 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.0515e-02 sec\n", - "--- Collate = 6.7976e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 3.6599e-02 sec\n", + "--- Collate = 1.0020e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.340623e-07 < 6.250000e-03 [1338]\n", - "--- Max DT=1.988723e+00 > 1.000000e-01 [69827]\n", + "--- Min DT=1.211868e-06 < 6.250000e-03 [926]\n", + "--- Max DT=2.303947e+00 > 1.000000e-01 [68701]\n", "----------------------------------------------------------------------\n", - " Component | low: 1338/100000\n", - " Component | high: 69827/100000\n", + " Component | low: 926/100000\n", + " Component | high: 68701/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=80.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000618167 [ 0.40 %]\n", - "Velocity : 0.0019387 [ 1.27 %]\n", - "Force : 0.0582928 [ 38.06 %]\n", - "Coefs : 0.0243553 [ 15.90 %]\n", - "Output : 0.000705538 [ 0.46 %]\n", - "Levels : 0.000191851 [ 0.13 %]\n", - "Report : 1.228e-06 [ 0.00 %]\n", - "Balance : 3.53e-07 [ 0.00 %]\n", - "Adjust : 0.0670079 [ 43.75 %]\n", - "Total : 0.153153 [100.00 %]\n", + "Drift : 0.000732358 [ 0.02 %]\n", + "Velocity : 0.00257321 [ 0.07 %]\n", + "Force : 0.58334 [ 16.87 %]\n", + "Coefs : 2.15837 [ 62.42 %]\n", + "Output : 0.0013228 [ 0.04 %]\n", + "Levels : 0.000226637 [ 0.01 %]\n", + "Report : 8.16e-07 [ 0.00 %]\n", + "Balance : 3.13e-07 [ 0.00 %]\n", + "Adjust : 0.710943 [ 20.56 %]\n", + "Total : 3.45757 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5801 658 377 149 157 \n", - "1 : 5784 633 413 163 149 \n", - "2 : 5752 673 426 129 162 \n", - "3 : 5786 645 422 133 156 \n", - "4 : 5723 676 431 146 166 \n", - "5 : 5829 634 419 124 136 \n", - "6 : 5799 598 426 151 168 \n", - "7 : 5782 643 398 155 164 \n", - "8 : 5804 603 420 147 168 \n", - "9 : 5751 646 440 142 163 \n", - "10 : 5746 678 402 144 172 \n", - "11 : 5723 692 392 175 160 \n", - "12 : 5770 660 414 133 165 \n", - "13 : 5792 661 416 156 129 \n", + "0 : 5808 732 345 131 126 \n", + "1 : 5839 700 371 108 124 \n", + "2 : 5812 712 355 132 131 \n", + "3 : 5823 697 383 122 117 \n", + "4 : 5809 727 364 118 124 \n", + "5 : 5872 702 351 113 104 \n", + "6 : 5858 726 345 118 95 \n", + "7 : 5839 714 363 107 119 \n", + "8 : 5847 695 356 129 115 \n", + "9 : 5863 672 363 138 106 \n", + "10 : 5833 686 362 135 126 \n", + "11 : 5802 734 364 137 105 \n", + "12 : 5874 711 330 100 127 \n", + "13 : 5864 704 368 120 98 \n", "\n", - "T : 80842 9100 5796 2047 2215 [100000]\n", + "T : 81743 9912 5020 1708 1617 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.0367e-02 sec\n", - "--- Collate = 6.0036e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 5.4447e-02 sec\n", + "--- Collate = 7.0445e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.651340e-06 < 6.250000e-03 [1333]\n", - "--- Max DT=1.995357e+00 > 1.000000e-01 [69799]\n", + "--- Min DT=3.092657e-06 < 6.250000e-03 [915]\n", + "--- Max DT=2.310757e+00 > 1.000000e-01 [68669]\n", "----------------------------------------------------------------------\n", - " Component | low: 1333/100000\n", - " Component | high: 69799/100000\n", + " Component | low: 915/100000\n", + " Component | high: 68669/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=80.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000544115 [ 0.36 %]\n", - "Velocity : 0.00196848 [ 1.29 %]\n", - "Force : 0.0582319 [ 38.08 %]\n", - "Coefs : 0.0243356 [ 15.92 %]\n", - "Output : 0.000621067 [ 0.41 %]\n", - "Levels : 0.00022754 [ 0.15 %]\n", - "Report : 1.855e-06 [ 0.00 %]\n", - "Balance : 5.73e-07 [ 0.00 %]\n", - "Adjust : 0.0669269 [ 43.77 %]\n", - "Total : 0.1529 [100.00 %]\n", + "Drift : 0.000507955 [ 0.02 %]\n", + "Velocity : 0.00234306 [ 0.07 %]\n", + "Force : 0.496244 [ 15.60 %]\n", + "Coefs : 2.04636 [ 64.34 %]\n", + "Output : 0.00140155 [ 0.04 %]\n", + "Levels : 0.000263237 [ 0.01 %]\n", + "Report : 7.91e-07 [ 0.00 %]\n", + "Balance : 3.56e-07 [ 0.00 %]\n", + "Adjust : 0.633549 [ 19.92 %]\n", + "Total : 3.18072 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5804 647 385 144 162 \n", - "1 : 5784 634 420 147 157 \n", - "2 : 5754 664 433 125 166 \n", - "3 : 5786 653 408 147 148 \n", - "4 : 5719 673 449 139 162 \n", - "5 : 5822 642 410 135 133 \n", - "6 : 5800 600 422 154 166 \n", - "7 : 5789 633 407 141 172 \n", - "8 : 5792 603 425 158 164 \n", - "9 : 5744 667 421 151 159 \n", - "10 : 5745 679 402 150 166 \n", - "11 : 5726 695 396 162 163 \n", - "12 : 5770 663 409 132 168 \n", - "13 : 5789 664 423 133 145 \n", + "0 : 5809 729 349 136 119 \n", + "1 : 5837 703 372 103 127 \n", + "2 : 5819 692 373 135 123 \n", + "3 : 5824 692 389 123 114 \n", + "4 : 5814 725 362 119 122 \n", + "5 : 5868 709 352 110 103 \n", + "6 : 5858 728 349 106 101 \n", + "7 : 5834 708 374 113 113 \n", + "8 : 5848 694 356 128 116 \n", + "9 : 5867 672 363 131 109 \n", + "10 : 5842 678 357 138 127 \n", + "11 : 5794 733 372 132 111 \n", + "12 : 5878 710 329 92 133 \n", + "13 : 5858 712 368 114 102 \n", "\n", - "T : 80824 9117 5810 2018 2231 [100000]\n", + "T : 81750 9885 5065 1680 1620 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", + "--- Coef/DT = 5.6%\n", "--- Adj/Tot = 1.9%\n", - "--- Update = 1.1198e-02 sec\n", - "--- Collate = 9.1366e-05 sec\n", + "--- Update = 5.4526e-02 sec\n", + "--- Collate = 7.5614e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.051708e-07 < 6.250000e-03 [1382]\n", - "--- Max DT=2.001994e+00 > 1.000000e-01 [69810]\n", + "--- Min DT=1.426722e-06 < 6.250000e-03 [958]\n", + "--- Max DT=2.317570e+00 > 1.000000e-01 [68654]\n", "----------------------------------------------------------------------\n", - " Component | low: 1382/100000\n", - " Component | high: 69810/100000\n", + " Component | low: 958/100000\n", + " Component | high: 68654/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=80.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000626031 [ 0.40 %]\n", - "Velocity : 0.00253696 [ 1.62 %]\n", - "Force : 0.059007 [ 37.69 %]\n", - "Coefs : 0.0235393 [ 15.03 %]\n", - "Output : 0.0014184 [ 0.91 %]\n", - "Levels : 0.000298935 [ 0.19 %]\n", - "Report : 1.45e-06 [ 0.00 %]\n", - "Balance : 6.81e-07 [ 0.00 %]\n", - "Adjust : 0.0690924 [ 44.13 %]\n", - "Total : 0.156573 [100.00 %]\n", + "Drift : 0.000682535 [ 0.02 %]\n", + "Velocity : 0.00286294 [ 0.09 %]\n", + "Force : 0.546511 [ 16.94 %]\n", + "Coefs : 2.00329 [ 62.11 %]\n", + "Output : 0.00501678 [ 0.16 %]\n", + "Levels : 0.000258217 [ 0.01 %]\n", + "Report : 1.071e-06 [ 0.00 %]\n", + "Balance : 3.84e-07 [ 0.00 %]\n", + "Adjust : 0.666909 [ 20.68 %]\n", + "Total : 3.22559 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5802 654 384 137 165 \n", - "1 : 5785 634 427 133 163 \n", - "2 : 5756 665 434 122 165 \n", - "3 : 5786 648 414 141 153 \n", - "4 : 5723 673 444 139 163 \n", - "5 : 5816 642 419 130 135 \n", - "6 : 5800 606 419 154 163 \n", - "7 : 5783 644 409 139 167 \n", - "8 : 5797 603 431 146 165 \n", - "9 : 5751 660 415 162 154 \n", - "10 : 5746 678 393 160 165 \n", - "11 : 5723 701 394 167 157 \n", - "12 : 5764 670 403 136 169 \n", - "13 : 5788 665 419 135 147 \n", + "0 : 5814 722 359 128 119 \n", + "1 : 5834 703 373 104 128 \n", + "2 : 5819 691 378 135 119 \n", + "3 : 5826 693 386 124 113 \n", + "4 : 5815 721 355 124 127 \n", + "5 : 5866 716 336 123 101 \n", + "6 : 5857 738 341 104 102 \n", + "7 : 5840 709 372 104 117 \n", + "8 : 5846 693 359 120 124 \n", + "9 : 5865 667 374 117 119 \n", + "10 : 5848 677 352 144 121 \n", + "11 : 5795 727 375 132 113 \n", + "12 : 5878 707 337 92 128 \n", + "13 : 5861 699 375 119 100 \n", "\n", - "T : 80820 9143 5805 2001 2231 [100000]\n", + "T : 81764 9863 5072 1670 1631 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", + "--- Coef/DT = 1.8%\n", "--- Adj/Tot = 1.9%\n", - "--- Update = 1.0875e-02 sec\n", - "--- Collate = 7.5336e-05 sec\n", + "--- Update = 6.5217e-02 sec\n", + "--- Collate = 2.0270e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.504510e-07 < 6.250000e-03 [1364]\n", - "--- Max DT=2.008634e+00 > 1.000000e-01 [69795]\n", + "--- Min DT=2.607953e-06 < 6.250000e-03 [991]\n", + "--- Max DT=2.324385e+00 > 1.000000e-01 [68632]\n", "----------------------------------------------------------------------\n", - " Component | low: 1364/100000\n", - " Component | high: 69795/100000\n", + " Component | low: 991/100000\n", + " Component | high: 68632/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=80.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00082771 [ 0.53 %]\n", - "Velocity : 0.00243115 [ 1.57 %]\n", - "Force : 0.058615 [ 37.82 %]\n", - "Coefs : 0.0242091 [ 15.62 %]\n", - "Output : 0.000905629 [ 0.58 %]\n", - "Levels : 0.000304456 [ 0.20 %]\n", - "Report : 1.242e-06 [ 0.00 %]\n", - "Balance : 6.05e-07 [ 0.00 %]\n", - "Adjust : 0.0676514 [ 43.65 %]\n", - "Total : 0.15499 [100.00 %]\n", + "Drift : 0.00051473 [ 0.02 %]\n", + "Velocity : 0.00269398 [ 0.08 %]\n", + "Force : 0.559622 [ 17.22 %]\n", + "Coefs : 1.98688 [ 61.15 %]\n", + "Output : 0.00139591 [ 0.04 %]\n", + "Levels : 0.000310272 [ 0.01 %]\n", + "Report : 6.1e-07 [ 0.00 %]\n", + "Balance : 2.09e-07 [ 0.00 %]\n", + "Adjust : 0.697724 [ 21.47 %]\n", + "Total : 3.24919 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5799 657 381 137 168 \n", - "1 : 5783 630 431 123 175 \n", - "2 : 5754 671 420 131 166 \n", - "3 : 5786 653 408 148 147 \n", - "4 : 5724 667 452 140 159 \n", - "5 : 5823 636 410 144 129 \n", - "6 : 5800 618 404 167 153 \n", - "7 : 5783 648 405 140 166 \n", - "8 : 5799 603 429 144 167 \n", - "9 : 5748 661 411 170 152 \n", - "10 : 5746 678 400 152 166 \n", - "11 : 5725 692 399 167 159 \n", - "12 : 5764 661 409 141 167 \n", - "13 : 5792 665 413 136 148 \n", + "0 : 5811 726 367 126 112 \n", + "1 : 5834 708 357 110 133 \n", + "2 : 5821 687 380 130 124 \n", + "3 : 5821 699 389 126 107 \n", + "4 : 5816 716 355 134 121 \n", + "5 : 5864 720 335 123 100 \n", + "6 : 5869 726 341 96 110 \n", + "7 : 5839 710 373 104 116 \n", + "8 : 5850 688 366 120 118 \n", + "9 : 5866 660 380 118 118 \n", + "10 : 5852 674 354 145 117 \n", + "11 : 5800 727 368 133 114 \n", + "12 : 5877 708 333 101 123 \n", + "13 : 5866 694 371 121 102 \n", "\n", - "T : 80826 9140 5772 2040 2222 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81786 9843 5069 1687 1615 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 1.0639e-02 sec\n", - "--- Collate = 7.2121e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 5.7490e-02 sec\n", + "--- Collate = 8.9139e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.096049e-07 < 6.250000e-03 [1343]\n", - "--- Max DT=2.015277e+00 > 1.000000e-01 [69797]\n", + "--- Min DT=4.958708e-06 < 6.250000e-03 [969]\n", + "--- Max DT=2.331203e+00 > 1.000000e-01 [68619]\n", "----------------------------------------------------------------------\n", - " Component | low: 1343/100000\n", - " Component | high: 69797/100000\n", + " Component | low: 969/100000\n", + " Component | high: 68619/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=80.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00076836 [ 0.49 %]\n", - "Velocity : 0.00270118 [ 1.72 %]\n", - "Force : 0.0593279 [ 37.72 %]\n", - "Coefs : 0.0243336 [ 15.47 %]\n", - "Output : 0.0010768 [ 0.68 %]\n", - "Levels : 0.000190901 [ 0.12 %]\n", - "Report : 1.193e-06 [ 0.00 %]\n", - "Balance : 4.64e-07 [ 0.00 %]\n", - "Adjust : 0.0688423 [ 43.77 %]\n", - "Total : 0.157296 [100.00 %]\n", + "Drift : 0.000797915 [ 0.02 %]\n", + "Velocity : 0.00265871 [ 0.07 %]\n", + "Force : 0.581222 [ 16.14 %]\n", + "Coefs : 2.24405 [ 62.32 %]\n", + "Output : 0.00134529 [ 0.04 %]\n", + "Levels : 0.000227155 [ 0.01 %]\n", + "Report : 1.005e-06 [ 0.00 %]\n", + "Balance : 3.42e-07 [ 0.00 %]\n", + "Adjust : 0.770783 [ 21.40 %]\n", + "Total : 3.60114 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5792 656 388 142 164 \n", - "1 : 5779 646 417 131 169 \n", - "2 : 5752 668 421 136 165 \n", - "3 : 5789 656 398 149 150 \n", - "4 : 5727 669 443 136 167 \n", - "5 : 5816 635 419 138 134 \n", - "6 : 5803 612 409 167 151 \n", - "7 : 5786 661 388 141 166 \n", - "8 : 5790 606 431 141 174 \n", - "9 : 5749 673 406 156 158 \n", - "10 : 5747 672 412 138 173 \n", - "11 : 5726 694 400 164 158 \n", - "12 : 5754 675 406 138 169 \n", - "13 : 5797 670 403 141 143 \n", + "0 : 5811 726 359 134 112 \n", + "1 : 5836 699 364 114 129 \n", + "2 : 5825 689 379 119 130 \n", + "3 : 5817 708 387 117 113 \n", + "4 : 5809 717 361 136 119 \n", + "5 : 5869 711 333 134 95 \n", + "6 : 5869 729 336 94 114 \n", + "7 : 5840 716 372 99 115 \n", + "8 : 5851 691 358 125 117 \n", + "9 : 5872 654 381 119 116 \n", + "10 : 5855 673 353 145 116 \n", + "11 : 5801 728 361 137 115 \n", + "12 : 5875 701 338 115 113 \n", + "13 : 5868 694 367 117 108 \n", "\n", - "T : 80807 9193 5741 2018 2241 [100000]\n", + "T : 81798 9836 5049 1705 1612 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.3%\n", + "--- Coef/DT = 1.6%\n", "--- Adj/Tot = 1.9%\n", - "--- Update = 9.7068e-03 sec\n", - "--- Collate = 6.7491e-05 sec\n", + "--- Update = 7.1101e-02 sec\n", + "--- Collate = 6.0407e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.901922e-06 < 6.250000e-03 [1322]\n", - "--- Max DT=2.021923e+00 > 1.000000e-01 [69788]\n", + "--- Min DT=2.502754e-06 < 6.250000e-03 [954]\n", + "--- Max DT=2.338023e+00 > 1.000000e-01 [68591]\n", "----------------------------------------------------------------------\n", - " Component | low: 1322/100000\n", - " Component | high: 69788/100000\n", + " Component | low: 954/100000\n", + " Component | high: 68591/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=80.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000573881 [ 0.37 %]\n", - "Velocity : 0.00301668 [ 1.95 %]\n", - "Force : 0.0588333 [ 37.95 %]\n", - "Coefs : 0.0238108 [ 15.36 %]\n", - "Output : 0.00113229 [ 0.73 %]\n", - "Levels : 0.000187519 [ 0.12 %]\n", - "Report : 1.166e-06 [ 0.00 %]\n", - "Balance : 2.65e-07 [ 0.00 %]\n", - "Adjust : 0.0674293 [ 43.49 %]\n", - "Total : 0.155032 [100.00 %]\n", + "Drift : 0.000496228 [ 0.02 %]\n", + "Velocity : 0.00247902 [ 0.08 %]\n", + "Force : 0.507791 [ 16.54 %]\n", + "Coefs : 1.8607 [ 60.62 %]\n", + "Output : 0.0011643 [ 0.04 %]\n", + "Levels : 0.000227094 [ 0.01 %]\n", + "Report : 6.8e-07 [ 0.00 %]\n", + "Balance : 4.3e-07 [ 0.00 %]\n", + "Adjust : 0.696765 [ 22.70 %]\n", + "Total : 3.06967 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5801 647 392 146 156 \n", - "1 : 5776 644 424 134 164 \n", - "2 : 5752 668 419 136 167 \n", - "3 : 5783 661 414 134 150 \n", - "4 : 5728 670 436 147 161 \n", - "5 : 5816 636 419 145 126 \n", - "6 : 5803 608 417 158 156 \n", - "7 : 5790 650 392 145 165 \n", - "8 : 5786 609 436 142 169 \n", - "9 : 5754 674 407 152 155 \n", - "10 : 5750 666 413 134 179 \n", - "11 : 5725 680 420 160 157 \n", - "12 : 5756 668 404 140 174 \n", - "13 : 5795 665 414 138 142 \n", + "0 : 5814 718 367 129 114 \n", + "1 : 5838 700 360 116 128 \n", + "2 : 5824 697 379 106 136 \n", + "3 : 5813 712 392 105 120 \n", + "4 : 5807 712 366 130 127 \n", + "5 : 5875 705 325 145 92 \n", + "6 : 5873 721 339 92 117 \n", + "7 : 5842 711 381 95 113 \n", + "8 : 5847 687 361 129 118 \n", + "9 : 5863 656 390 118 115 \n", + "10 : 5855 675 352 148 112 \n", + "11 : 5796 733 359 134 120 \n", + "12 : 5873 703 342 110 114 \n", + "13 : 5866 689 367 116 116 \n", "\n", - "T : 80815 9146 5807 2011 2221 [100000]\n", + "T : 81786 9819 5080 1673 1642 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0448e-02 sec\n", - "--- Collate = 6.9414e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 5.6598e-02 sec\n", + "--- Collate = 1.0260e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.178561e-06 < 6.250000e-03 [1315]\n", - "--- Max DT=2.028571e+00 > 1.000000e-01 [69777]\n", + "--- Min DT=1.209792e-06 < 6.250000e-03 [964]\n", + "--- Max DT=2.344846e+00 > 1.000000e-01 [68577]\n", "----------------------------------------------------------------------\n", - " Component | low: 1315/100000\n", - " Component | high: 69777/100000\n", + " Component | low: 964/100000\n", + " Component | high: 68577/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=80.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00072502 [ 0.47 %]\n", - "Velocity : 0.00200906 [ 1.30 %]\n", - "Force : 0.0588782 [ 38.23 %]\n", - "Coefs : 0.0243375 [ 15.80 %]\n", - "Output : 0.0007589 [ 0.49 %]\n", - "Levels : 0.000150918 [ 0.10 %]\n", - "Report : 1.165e-06 [ 0.00 %]\n", - "Balance : 2.71e-07 [ 0.00 %]\n", - "Adjust : 0.0671003 [ 43.57 %]\n", - "Total : 0.154004 [100.00 %]\n", + "Drift : 0.00183915 [ 0.06 %]\n", + "Velocity : 0.00230533 [ 0.07 %]\n", + "Force : 0.508787 [ 16.40 %]\n", + "Coefs : 1.88138 [ 60.64 %]\n", + "Output : 0.00118258 [ 0.04 %]\n", + "Levels : 0.000267457 [ 0.01 %]\n", + "Report : 1.058e-06 [ 0.00 %]\n", + "Balance : 6.27e-07 [ 0.00 %]\n", + "Adjust : 0.706629 [ 22.78 %]\n", + "Total : 3.10244 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5794 652 396 152 148 \n", - "1 : 5773 646 427 130 166 \n", - "2 : 5742 678 408 149 165 \n", - "3 : 5787 657 416 133 149 \n", - "4 : 5733 666 432 149 162 \n", - "5 : 5818 643 402 154 125 \n", - "6 : 5796 623 414 156 153 \n", - "7 : 5792 648 390 142 170 \n", - "8 : 5787 609 434 151 161 \n", - "9 : 5754 678 405 148 157 \n", - "10 : 5755 662 404 136 185 \n", - "11 : 5717 688 422 162 153 \n", - "12 : 5760 670 402 129 181 \n", - "13 : 5799 672 406 135 142 \n", + "0 : 5812 726 361 144 99 \n", + "1 : 5840 690 372 111 129 \n", + "2 : 5827 688 381 122 124 \n", + "3 : 5814 710 392 108 118 \n", + "4 : 5807 702 388 121 124 \n", + "5 : 5880 706 318 138 100 \n", + "6 : 5871 716 338 102 115 \n", + "7 : 5842 713 381 93 113 \n", + "8 : 5845 685 368 127 117 \n", + "9 : 5861 663 382 114 122 \n", + "10 : 5858 665 360 147 112 \n", + "11 : 5798 718 376 133 117 \n", + "12 : 5876 693 349 112 112 \n", + "13 : 5862 696 363 113 120 \n", "\n", - "T : 80807 9192 5758 2026 2217 [100000]\n", + "T : 81793 9771 5129 1685 1622 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.4%\n", + "--- Coef/DT = 1.2%\n", "--- Adj/Tot = 1.9%\n", - "--- Update = 1.1242e-02 sec\n", - "--- Collate = 6.8519e-05 sec\n", + "--- Update = 6.2520e-02 sec\n", + "--- Collate = 6.0285e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.377108e-08 < 6.250000e-03 [1329]\n", - "--- Max DT=2.035222e+00 > 1.000000e-01 [69749]\n", + "--- Min DT=1.450079e-06 < 6.250000e-03 [983]\n", + "--- Max DT=2.351671e+00 > 1.000000e-01 [68559]\n", "----------------------------------------------------------------------\n", - " Component | low: 1329/100000\n", - " Component | high: 69749/100000\n", + " Component | low: 983/100000\n", + " Component | high: 68559/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=81] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000748462 [ 0.45 %]\n", - "Velocity : 0.00312885 [ 1.87 %]\n", - "Force : 0.060531 [ 36.16 %]\n", - "Coefs : 0.0239294 [ 14.29 %]\n", - "Output : 0.00602845 [ 3.60 %]\n", - "Levels : 0.000221314 [ 0.13 %]\n", - "Report : 1.571e-06 [ 0.00 %]\n", - "Balance : 8.51e-07 [ 0.00 %]\n", - "Adjust : 0.0727678 [ 43.46 %]\n", - "Total : 0.167419 [100.00 %]\n", + "Drift : 0.000474167 [ 0.01 %]\n", + "Velocity : 0.00165225 [ 0.05 %]\n", + "Force : 0.536623 [ 16.77 %]\n", + "Coefs : 1.96627 [ 61.43 %]\n", + "Output : 0.00889132 [ 0.28 %]\n", + "Levels : 0.000227052 [ 0.01 %]\n", + "Report : 1.078e-06 [ 0.00 %]\n", + "Balance : 5.87e-07 [ 0.00 %]\n", + "Adjust : 0.686528 [ 21.45 %]\n", + "Total : 3.20072 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5791 662 391 150 148 \n", - "1 : 5767 659 420 130 166 \n", - "2 : 5746 680 407 146 163 \n", - "3 : 5782 671 408 128 153 \n", - "4 : 5733 671 426 147 165 \n", - "5 : 5821 647 395 152 127 \n", - "6 : 5790 631 411 149 161 \n", - "7 : 5790 661 376 146 169 \n", - "8 : 5788 611 433 152 158 \n", - "9 : 5753 675 410 146 158 \n", - "10 : 5751 663 402 148 178 \n", - "11 : 5720 678 433 151 160 \n", - "12 : 5759 677 398 134 174 \n", - "13 : 5796 684 398 139 137 \n", + "0 : 5810 724 364 143 101 \n", + "1 : 5841 695 369 110 127 \n", + "2 : 5837 674 389 118 124 \n", + "3 : 5813 713 386 113 117 \n", + "4 : 5806 704 382 136 114 \n", + "5 : 5878 702 334 134 94 \n", + "6 : 5872 710 341 103 116 \n", + "7 : 5845 713 380 97 107 \n", + "8 : 5847 685 368 135 107 \n", + "9 : 5862 656 392 107 125 \n", + "10 : 5860 660 366 140 116 \n", + "11 : 5800 714 382 128 118 \n", + "12 : 5873 695 346 112 116 \n", + "13 : 5860 699 354 121 120 \n", "\n", - "T : 80787 9270 5708 2018 2217 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81804 9744 5153 1697 1602 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", + "--- Coef/DT = 1.9%\n", "--- Adj/Tot = 1.9%\n", - "--- Update = 1.0823e-02 sec\n", - "--- Collate = 8.5727e-05 sec\n", + "--- Update = 5.1199e-02 sec\n", + "--- Collate = 1.3018e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.069320e-06 < 6.250000e-03 [1314]\n", - "--- Max DT=2.041876e+00 > 1.000000e-01 [69741]\n", + "--- Min DT=3.667965e-07 < 6.250000e-03 [953]\n", + "--- Max DT=2.358498e+00 > 1.000000e-01 [68545]\n", "----------------------------------------------------------------------\n", - " Component | low: 1314/100000\n", - " Component | high: 69741/100000\n", + " Component | low: 953/100000\n", + " Component | high: 68545/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=81.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000894899 [ 0.54 %]\n", - "Velocity : 0.00330532 [ 2.00 %]\n", - "Force : 0.0614841 [ 37.17 %]\n", - "Coefs : 0.0237735 [ 14.37 %]\n", - "Output : 0.0011728 [ 0.71 %]\n", - "Levels : 0.000254945 [ 0.15 %]\n", - "Report : 1.243e-06 [ 0.00 %]\n", - "Balance : 1.012e-06 [ 0.00 %]\n", - "Adjust : 0.0744414 [ 45.01 %]\n", - "Total : 0.165393 [100.00 %]\n", + "Drift : 0.000435639 [ 0.01 %]\n", + "Velocity : 0.0020839 [ 0.06 %]\n", + "Force : 0.513124 [ 14.93 %]\n", + "Coefs : 2.23359 [ 64.97 %]\n", + "Output : 0.000857423 [ 0.02 %]\n", + "Levels : 0.000248166 [ 0.01 %]\n", + "Report : 1e-06 [ 0.00 %]\n", + "Balance : 3.46e-07 [ 0.00 %]\n", + "Adjust : 0.687251 [ 19.99 %]\n", + "Total : 3.43764 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5790 657 400 141 154 \n", - "1 : 5771 664 402 139 166 \n", - "2 : 5743 686 406 142 165 \n", - "3 : 5784 660 414 128 156 \n", - "4 : 5734 683 411 154 160 \n", - "5 : 5822 653 387 149 131 \n", - "6 : 5796 616 413 154 163 \n", - "7 : 5787 662 376 146 171 \n", - "8 : 5783 621 430 157 151 \n", - "9 : 5747 684 407 145 159 \n", - "10 : 5747 658 414 147 176 \n", - "11 : 5721 675 440 150 156 \n", - "12 : 5759 678 399 133 173 \n", - "13 : 5803 674 399 141 137 \n", + "0 : 5809 717 380 142 94 \n", + "1 : 5843 689 377 104 129 \n", + "2 : 5837 675 388 122 120 \n", + "3 : 5815 711 388 116 112 \n", + "4 : 5804 708 381 140 109 \n", + "5 : 5887 692 338 130 95 \n", + "6 : 5875 708 334 113 112 \n", + "7 : 5844 714 373 101 110 \n", + "8 : 5845 686 368 126 117 \n", + "9 : 5860 654 393 108 127 \n", + "10 : 5856 663 373 131 119 \n", + "11 : 5804 712 382 128 116 \n", + "12 : 5872 699 347 113 111 \n", + "13 : 5864 690 353 128 119 \n", "\n", - "T : 80787 9271 5698 2026 2218 [100000]\n", + "T : 81815 9718 5175 1702 1590 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", + "--- Coef/DT = 1.9%\n", "--- Adj/Tot = 2.0%\n", - "--- Update = 1.0622e-02 sec\n", - "--- Collate = 7.5411e-05 sec\n", + "--- Update = 3.7598e-02 sec\n", + "--- Collate = 6.0346e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.483690e-06 < 6.250000e-03 [1319]\n", - "--- Max DT=2.048533e+00 > 1.000000e-01 [69732]\n", + "--- Min DT=1.654301e-06 < 6.250000e-03 [934]\n", + "--- Max DT=2.365329e+00 > 1.000000e-01 [68543]\n", "----------------------------------------------------------------------\n", - " Component | low: 1319/100000\n", - " Component | high: 69732/100000\n", + " Component | low: 934/100000\n", + " Component | high: 68543/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=81.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000847922 [ 0.51 %]\n", - "Velocity : 0.00293278 [ 1.77 %]\n", - "Force : 0.0614834 [ 37.12 %]\n", - "Coefs : 0.0282355 [ 17.05 %]\n", - "Output : 0.00104534 [ 0.63 %]\n", - "Levels : 0.00019202 [ 0.12 %]\n", - "Report : 1.041e-06 [ 0.00 %]\n", - "Balance : 4.87e-07 [ 0.00 %]\n", - "Adjust : 0.070827 [ 42.76 %]\n", - "Total : 0.165642 [100.00 %]\n", + "Drift : 0.000682741 [ 0.02 %]\n", + "Velocity : 0.00218635 [ 0.07 %]\n", + "Force : 0.516888 [ 17.29 %]\n", + "Coefs : 1.8606 [ 62.25 %]\n", + "Output : 0.00115038 [ 0.04 %]\n", + "Levels : 0.000247083 [ 0.01 %]\n", + "Report : 1.028e-06 [ 0.00 %]\n", + "Balance : 3.3e-07 [ 0.00 %]\n", + "Adjust : 0.60734 [ 20.32 %]\n", + "Total : 2.98914 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5788 655 406 134 159 \n", - "1 : 5775 669 394 144 160 \n", - "2 : 5734 702 394 147 165 \n", - "3 : 5781 672 407 126 156 \n", - "4 : 5734 685 404 167 152 \n", - "5 : 5822 645 390 146 139 \n", - "6 : 5792 626 397 160 167 \n", - "7 : 5780 662 393 137 170 \n", - "8 : 5782 624 428 153 155 \n", - "9 : 5754 683 411 135 159 \n", - "10 : 5751 663 406 147 175 \n", - "11 : 5719 680 437 157 149 \n", - "12 : 5761 672 407 125 177 \n", - "13 : 5805 671 399 140 139 \n", + "0 : 5812 721 376 130 103 \n", + "1 : 5851 680 379 110 122 \n", + "2 : 5835 686 377 118 126 \n", + "3 : 5820 706 387 116 113 \n", + "4 : 5806 704 380 140 112 \n", + "5 : 5885 691 346 125 95 \n", + "6 : 5882 695 340 108 117 \n", + "7 : 5841 720 369 97 115 \n", + "8 : 5851 683 366 130 112 \n", + "9 : 5856 666 392 102 126 \n", + "10 : 5860 664 373 129 116 \n", + "11 : 5795 716 390 130 111 \n", + "12 : 5870 695 350 113 114 \n", + "13 : 5861 687 361 125 120 \n", "\n", - "T : 80778 9309 5673 2018 2222 [100000]\n", + "T : 81825 9714 5186 1673 1602 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.0821e-02 sec\n", - "--- Collate = 7.8492e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 4.3614e-02 sec\n", + "--- Collate = 8.0622e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.759614e-07 < 6.250000e-03 [1349]\n", - "--- Max DT=2.055192e+00 > 1.000000e-01 [69740]\n", + "--- Min DT=5.817855e-06 < 6.250000e-03 [941]\n", + "--- Max DT=2.372161e+00 > 1.000000e-01 [68515]\n", "----------------------------------------------------------------------\n", - " Component | low: 1349/100000\n", - " Component | high: 69740/100000\n", + " Component | low: 941/100000\n", + " Component | high: 68515/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=81.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000728565 [ 0.46 %]\n", - "Velocity : 0.00317656 [ 2.01 %]\n", - "Force : 0.0591858 [ 37.47 %]\n", - "Coefs : 0.0236271 [ 14.96 %]\n", - "Output : 0.00124108 [ 0.79 %]\n", - "Levels : 0.000245678 [ 0.16 %]\n", - "Report : 1.238e-06 [ 0.00 %]\n", - "Balance : 5.24e-07 [ 0.00 %]\n", - "Adjust : 0.0696617 [ 44.11 %]\n", - "Total : 0.157934 [100.00 %]\n", + "Drift : 0.000494915 [ 0.02 %]\n", + "Velocity : 0.00213511 [ 0.07 %]\n", + "Force : 0.555563 [ 17.64 %]\n", + "Coefs : 1.95126 [ 61.95 %]\n", + "Output : 0.00134635 [ 0.04 %]\n", + "Levels : 0.000271682 [ 0.01 %]\n", + "Report : 6.25e-07 [ 0.00 %]\n", + "Balance : 3.72e-07 [ 0.00 %]\n", + "Adjust : 0.638374 [ 20.27 %]\n", + "Total : 3.14949 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5786 655 417 127 157 \n", - "1 : 5774 671 395 144 158 \n", - "2 : 5734 700 392 155 161 \n", - "3 : 5775 686 388 142 151 \n", - "4 : 5734 685 396 176 151 \n", - "5 : 5822 651 387 136 146 \n", - "6 : 5787 635 394 167 159 \n", - "7 : 5778 667 393 132 172 \n", - "8 : 5784 620 431 141 166 \n", - "9 : 5752 687 409 141 153 \n", - "10 : 5754 667 402 141 178 \n", - "11 : 5714 680 448 144 156 \n", - "12 : 5763 670 406 137 166 \n", - "13 : 5808 669 396 143 138 \n", + "0 : 5811 723 380 122 106 \n", + "1 : 5850 682 380 110 120 \n", + "2 : 5831 687 380 121 123 \n", + "3 : 5817 718 368 118 121 \n", + "4 : 5803 707 377 141 114 \n", + "5 : 5883 686 355 119 99 \n", + "6 : 5875 697 344 111 115 \n", + "7 : 5841 713 379 96 113 \n", + "8 : 5853 681 367 127 114 \n", + "9 : 5857 671 381 107 126 \n", + "10 : 5861 670 364 137 110 \n", + "11 : 5793 719 383 133 114 \n", + "12 : 5863 704 348 121 106 \n", + "13 : 5861 681 368 121 123 \n", "\n", - "T : 80765 9343 5654 2026 2212 [100000]\n", + "T : 81799 9739 5174 1684 1604 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.0580e-02 sec\n", - "--- Collate = 7.5437e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 5.3506e-02 sec\n", + "--- Collate = 9.0146e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.245630e-06 < 6.250000e-03 [1330]\n", - "--- Max DT=2.061855e+00 > 1.000000e-01 [69747]\n", + "--- Min DT=3.425646e-06 < 6.250000e-03 [961]\n", + "--- Max DT=2.378996e+00 > 1.000000e-01 [68494]\n", "----------------------------------------------------------------------\n", - " Component | low: 1330/100000\n", - " Component | high: 69747/100000\n", + " Component | low: 961/100000\n", + " Component | high: 68494/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=81.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000657203 [ 0.41 %]\n", - "Velocity : 0.00216102 [ 1.36 %]\n", - "Force : 0.0632197 [ 39.71 %]\n", - "Coefs : 0.0245878 [ 15.45 %]\n", - "Output : 0.000767457 [ 0.48 %]\n", - "Levels : 0.000188085 [ 0.12 %]\n", - "Report : 1.352e-06 [ 0.00 %]\n", - "Balance : 4.91e-07 [ 0.00 %]\n", - "Adjust : 0.0675541 [ 42.44 %]\n", - "Total : 0.159185 [100.00 %]\n", + "Drift : 0.000598294 [ 0.02 %]\n", + "Velocity : 0.00237263 [ 0.07 %]\n", + "Force : 0.546748 [ 17.24 %]\n", + "Coefs : 1.9568 [ 61.72 %]\n", + "Output : 0.00131531 [ 0.04 %]\n", + "Levels : 0.000266473 [ 0.01 %]\n", + "Report : 7.81e-07 [ 0.00 %]\n", + "Balance : 5.14e-07 [ 0.00 %]\n", + "Adjust : 0.66238 [ 20.89 %]\n", + "Total : 3.17053 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5788 655 422 119 158 \n", - "1 : 5778 671 403 139 151 \n", - "2 : 5730 705 385 152 170 \n", - "3 : 5785 668 396 136 157 \n", - "4 : 5737 684 393 173 155 \n", - "5 : 5821 647 379 147 148 \n", - "6 : 5781 641 397 165 158 \n", - "7 : 5780 660 392 136 174 \n", - "8 : 5783 615 439 134 171 \n", - "9 : 5754 694 400 142 152 \n", - "10 : 5755 660 407 150 170 \n", - "11 : 5716 676 454 131 165 \n", - "12 : 5766 663 407 149 157 \n", - "13 : 5807 673 401 131 142 \n", + "0 : 5805 733 382 125 97 \n", + "1 : 5856 683 370 108 125 \n", + "2 : 5836 689 373 118 126 \n", + "3 : 5816 721 368 118 119 \n", + "4 : 5808 703 374 145 112 \n", + "5 : 5882 693 354 108 105 \n", + "6 : 5875 692 349 107 119 \n", + "7 : 5846 714 366 107 109 \n", + "8 : 5857 673 374 121 117 \n", + "9 : 5859 671 374 104 134 \n", + "10 : 5865 663 360 139 115 \n", + "11 : 5795 723 380 129 115 \n", + "12 : 5860 709 345 121 107 \n", + "13 : 5866 674 373 120 121 \n", "\n", - "T : 80781 9312 5675 2004 2228 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81826 9741 5142 1670 1621 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", + "--- Coef/DT = 1.7%\n", "--- Adj/Tot = 1.9%\n", - "--- Update = 1.0589e-02 sec\n", - "--- Collate = 7.8640e-05 sec\n", + "--- Update = 5.5588e-02 sec\n", + "--- Collate = 6.3437e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.734703e-06 < 6.250000e-03 [1360]\n", - "--- Max DT=2.068520e+00 > 1.000000e-01 [69743]\n", + "--- Min DT=1.889657e-06 < 6.250000e-03 [972]\n", + "--- Max DT=2.385834e+00 > 1.000000e-01 [68488]\n", "----------------------------------------------------------------------\n", - " Component | low: 1360/100000\n", - " Component | high: 69743/100000\n", + " Component | low: 972/100000\n", + " Component | high: 68488/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=81.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000603837 [ 0.39 %]\n", - "Velocity : 0.00199263 [ 1.29 %]\n", - "Force : 0.0588063 [ 38.05 %]\n", - "Coefs : 0.0243473 [ 15.75 %]\n", - "Output : 0.000870406 [ 0.56 %]\n", - "Levels : 0.000252078 [ 0.16 %]\n", - "Report : 1.26e-06 [ 0.00 %]\n", - "Balance : 4.78e-07 [ 0.00 %]\n", - "Adjust : 0.0676427 [ 43.76 %]\n", - "Total : 0.154565 [100.00 %]\n", + "Drift : 0.000502351 [ 0.01 %]\n", + "Velocity : 0.00182252 [ 0.05 %]\n", + "Force : 0.679721 [ 18.16 %]\n", + "Coefs : 2.3571 [ 62.97 %]\n", + "Output : 0.00130376 [ 0.03 %]\n", + "Levels : 0.000597736 [ 0.02 %]\n", + "Report : 1.51e-06 [ 0.00 %]\n", + "Balance : 5.3e-07 [ 0.00 %]\n", + "Adjust : 0.702262 [ 18.76 %]\n", + "Total : 3.74336 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5792 651 418 130 151 \n", - "1 : 5771 687 393 135 156 \n", - "2 : 5730 701 393 148 170 \n", - "3 : 5786 677 385 135 159 \n", - "4 : 5741 669 411 165 156 \n", - "5 : 5818 651 383 136 154 \n", - "6 : 5779 650 376 170 167 \n", - "7 : 5777 664 381 142 178 \n", - "8 : 5787 614 444 128 169 \n", - "9 : 5756 691 401 145 149 \n", - "10 : 5748 671 412 144 167 \n", - "11 : 5708 673 462 133 166 \n", - "12 : 5767 662 409 146 158 \n", - "13 : 5808 675 396 134 141 \n", + "0 : 5806 724 393 119 100 \n", + "1 : 5852 690 363 120 117 \n", + "2 : 5832 691 369 121 129 \n", + "3 : 5820 719 364 124 115 \n", + "4 : 5807 704 374 150 107 \n", + "5 : 5877 691 353 121 100 \n", + "6 : 5876 688 356 103 119 \n", + "7 : 5844 719 363 104 112 \n", + "8 : 5856 675 373 123 115 \n", + "9 : 5857 668 382 102 133 \n", + "10 : 5873 653 359 133 124 \n", + "11 : 5797 725 377 118 125 \n", + "12 : 5858 712 347 122 103 \n", + "13 : 5867 668 380 116 123 \n", "\n", - "T : 80768 9336 5664 1991 2241 [100000]\n", + "T : 81822 9727 5153 1676 1622 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 1.0872e-02 sec\n", - "--- Collate = 7.2619e-05 sec\n", + "--- Coef/DT = 24.4%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 5.5563e-02 sec\n", + "--- Collate = 2.9572e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.958155e-07 < 6.250000e-03 [1346]\n", - "--- Max DT=2.075188e+00 > 1.000000e-01 [69757]\n", + "--- Min DT=4.322020e-07 < 6.250000e-03 [940]\n", + "--- Max DT=2.392674e+00 > 1.000000e-01 [68471]\n", "----------------------------------------------------------------------\n", - " Component | low: 1346/100000\n", - " Component | high: 69757/100000\n", + " Component | low: 940/100000\n", + " Component | high: 68471/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=81.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000617416 [ 0.40 %]\n", - "Velocity : 0.0022389 [ 1.44 %]\n", - "Force : 0.0587155 [ 37.83 %]\n", - "Coefs : 0.0236763 [ 15.25 %]\n", - "Output : 0.00103319 [ 0.67 %]\n", - "Levels : 0.000251999 [ 0.16 %]\n", - "Report : 1.342e-06 [ 0.00 %]\n", - "Balance : 3.7e-07 [ 0.00 %]\n", - "Adjust : 0.0686214 [ 44.21 %]\n", - "Total : 0.155207 [100.00 %]\n", + "Drift : 0.000475924 [ 0.01 %]\n", + "Velocity : 0.00228171 [ 0.07 %]\n", + "Force : 0.580153 [ 17.15 %]\n", + "Coefs : 2.03877 [ 60.26 %]\n", + "Output : 0.000864155 [ 0.03 %]\n", + "Levels : 0.000275793 [ 0.01 %]\n", + "Report : 5.91e-07 [ 0.00 %]\n", + "Balance : 3.1e-07 [ 0.00 %]\n", + "Adjust : 0.760145 [ 22.47 %]\n", + "Total : 3.38301 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5792 653 418 127 152 \n", - "1 : 5771 692 382 136 161 \n", - "2 : 5731 705 397 140 169 \n", - "3 : 5782 681 388 128 163 \n", - "4 : 5741 669 407 170 155 \n", - "5 : 5823 645 381 138 155 \n", - "6 : 5780 651 386 152 173 \n", - "7 : 5771 681 368 143 179 \n", - "8 : 5788 619 438 143 154 \n", - "9 : 5754 694 399 146 149 \n", - "10 : 5755 668 411 144 164 \n", - "11 : 5711 673 458 141 159 \n", - "12 : 5765 669 398 147 163 \n", - "13 : 5805 675 401 135 138 \n", + "0 : 5807 711 396 134 94 \n", + "1 : 5853 685 365 120 119 \n", + "2 : 5833 691 363 129 126 \n", + "3 : 5820 714 359 130 119 \n", + "4 : 5808 706 382 132 114 \n", + "5 : 5873 700 349 111 109 \n", + "6 : 5871 688 359 108 116 \n", + "7 : 5846 721 349 121 105 \n", + "8 : 5856 674 380 116 116 \n", + "9 : 5850 674 381 109 128 \n", + "10 : 5868 652 365 131 126 \n", + "11 : 5796 726 374 126 120 \n", + "12 : 5862 709 347 113 111 \n", + "13 : 5864 672 383 115 120 \n", "\n", - "T : 80769 9375 5632 1990 2234 [100000]\n", + "T : 81807 9723 5152 1695 1623 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.6%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 1.0671e-02 sec\n", - "--- Collate = 7.3379e-05 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 4.2577e-02 sec\n", + "--- Collate = 1.0023e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.319812e-07 < 6.250000e-03 [1332]\n", - "--- Max DT=2.081858e+00 > 1.000000e-01 [69745]\n", + "--- Min DT=6.039262e-07 < 6.250000e-03 [973]\n", + "--- Max DT=2.399516e+00 > 1.000000e-01 [68448]\n", "----------------------------------------------------------------------\n", - " Component | low: 1332/100000\n", - " Component | high: 69745/100000\n", + " Component | low: 973/100000\n", + " Component | high: 68448/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=81.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000814026 [ 0.52 %]\n", - "Velocity : 0.00266392 [ 1.71 %]\n", - "Force : 0.0589857 [ 37.81 %]\n", - "Coefs : 0.0236062 [ 15.13 %]\n", - "Output : 0.000842309 [ 0.54 %]\n", - "Levels : 0.000196818 [ 0.13 %]\n", - "Report : 1.246e-06 [ 0.00 %]\n", - "Balance : 4.53e-07 [ 0.00 %]\n", - "Adjust : 0.0688342 [ 44.13 %]\n", - "Total : 0.155998 [100.00 %]\n", + "Drift : 0.000655808 [ 0.02 %]\n", + "Velocity : 0.00197525 [ 0.06 %]\n", + "Force : 0.522897 [ 15.39 %]\n", + "Coefs : 2.13251 [ 62.75 %]\n", + "Output : 0.000888594 [ 0.03 %]\n", + "Levels : 0.000237247 [ 0.01 %]\n", + "Report : 9.16e-07 [ 0.00 %]\n", + "Balance : 5.43e-07 [ 0.00 %]\n", + "Adjust : 0.739439 [ 21.76 %]\n", + "Total : 3.39865 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5794 647 417 123 161 \n", - "1 : 5764 700 379 137 162 \n", - "2 : 5731 700 397 138 176 \n", - "3 : 5782 681 386 138 155 \n", - "4 : 5745 665 406 167 159 \n", - "5 : 5822 647 379 135 159 \n", - "6 : 5781 654 378 149 180 \n", - "7 : 5766 688 362 146 180 \n", - "8 : 5788 625 421 155 153 \n", - "9 : 5758 698 395 138 153 \n", - "10 : 5749 678 400 146 169 \n", - "11 : 5716 672 451 143 160 \n", - "12 : 5766 670 384 160 162 \n", - "13 : 5807 670 402 145 130 \n", + "0 : 5801 711 397 140 93 \n", + "1 : 5849 693 361 116 123 \n", + "2 : 5824 700 354 136 128 \n", + "3 : 5819 714 372 121 116 \n", + "4 : 5807 701 386 133 115 \n", + "5 : 5877 696 347 116 106 \n", + "6 : 5879 675 359 115 114 \n", + "7 : 5847 727 339 129 100 \n", + "8 : 5853 679 376 121 113 \n", + "9 : 5852 670 374 118 128 \n", + "10 : 5868 654 368 123 129 \n", + "11 : 5796 725 380 130 111 \n", + "12 : 5863 708 347 106 118 \n", + "13 : 5875 658 384 122 115 \n", "\n", - "T : 80769 9395 5557 2020 2259 [100000]\n", + "T : 81810 9711 5144 1726 1609 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 1.0725e-02 sec\n", - "--- Collate = 8.2868e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 5.1430e-02 sec\n", + "--- Collate = 8.5262e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.343565e-06 < 6.250000e-03 [1341]\n", - "--- Max DT=2.088532e+00 > 1.000000e-01 [69735]\n", + "--- Min DT=1.269481e-06 < 6.250000e-03 [978]\n", + "--- Max DT=2.406361e+00 > 1.000000e-01 [68441]\n", "----------------------------------------------------------------------\n", - " Component | low: 1341/100000\n", - " Component | high: 69735/100000\n", + " Component | low: 978/100000\n", + " Component | high: 68441/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=81.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000611228 [ 0.39 %]\n", - "Velocity : 0.00215473 [ 1.37 %]\n", - "Force : 0.0595126 [ 37.84 %]\n", - "Coefs : 0.0242222 [ 15.40 %]\n", - "Output : 0.000929479 [ 0.59 %]\n", - "Levels : 0.000208813 [ 0.13 %]\n", - "Report : 1.256e-06 [ 0.00 %]\n", - "Balance : 4.38e-07 [ 0.00 %]\n", - "Adjust : 0.0695993 [ 44.25 %]\n", - "Total : 0.157289 [100.00 %]\n", - "----------------------------------------------------------------------\n", - "\n", - "----------------------------------------------------------------------\n", - "--- Level info--------------------------------------------------------\n", - "----------------------------------------------------------------------\n", - "0 : 5797 638 419 131 157 \n", - "1 : 5765 699 375 141 162 \n", - "2 : 5734 692 394 148 174 \n", - "3 : 5779 686 378 144 155 \n", - "4 : 5746 664 408 160 164 \n", - "5 : 5818 651 378 135 160 \n", - "6 : 5783 659 373 150 177 \n", - "7 : 5769 684 368 137 184 \n", - "8 : 5790 625 421 148 158 \n", - "9 : 5760 703 389 139 151 \n", - "10 : 5749 669 413 149 162 \n", - "11 : 5720 677 437 145 163 \n", - "12 : 5767 671 383 154 167 \n", - "13 : 5800 679 391 150 134 \n", - "\n", - "T : 80777 9397 5527 2031 2268 [100000]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000793588 [ 0.03 %]\n", + "Velocity : 0.00278606 [ 0.09 %]\n", + "Force : 0.555315 [ 17.53 %]\n", + "Coefs : 1.94863 [ 61.50 %]\n", + "Output : 0.000965324 [ 0.03 %]\n", + "Levels : 0.000260391 [ 0.01 %]\n", + "Report : 9.38e-07 [ 0.00 %]\n", + "Balance : 7.34e-07 [ 0.00 %]\n", + "Adjust : 0.659539 [ 20.82 %]\n", + "Total : 3.16834 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5800 710 400 138 94 \n", + "1 : 5855 692 354 121 120 \n", + "2 : 5824 703 357 130 128 \n", + "3 : 5821 717 353 126 125 \n", + "4 : 5811 700 381 131 119 \n", + "5 : 5880 688 353 107 114 \n", + "6 : 5882 665 366 104 125 \n", + "7 : 5856 713 343 124 106 \n", + "8 : 5854 686 364 114 124 \n", + "9 : 5852 681 362 129 118 \n", + "10 : 5868 659 356 132 127 \n", + "11 : 5797 725 374 129 117 \n", + "12 : 5869 712 333 114 114 \n", + "13 : 5873 660 385 125 111 \n", + "\n", + "T : 81842 9711 5081 1724 1642 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 9.6669e-03 sec\n", - "--- Collate = 7.4351e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 5.8427e-02 sec\n", + "--- Collate = 7.0165e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.329349e-07 < 6.250000e-03 [1341]\n", - "--- Max DT=2.095208e+00 > 1.000000e-01 [69739]\n", + "--- Min DT=2.605393e-06 < 6.250000e-03 [960]\n", + "--- Max DT=2.413208e+00 > 1.000000e-01 [68429]\n", "----------------------------------------------------------------------\n", - " Component | low: 1341/100000\n", - " Component | high: 69739/100000\n", + " Component | low: 960/100000\n", + " Component | high: 68429/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=81.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000652918 [ 0.42 %]\n", - "Velocity : 0.00258558 [ 1.65 %]\n", - "Force : 0.0593462 [ 37.97 %]\n", - "Coefs : 0.0244358 [ 15.63 %]\n", - "Output : 0.00093719 [ 0.60 %]\n", - "Levels : 0.00026766 [ 0.17 %]\n", - "Report : 1.244e-06 [ 0.00 %]\n", - "Balance : 4.5e-07 [ 0.00 %]\n", - "Adjust : 0.068014 [ 43.51 %]\n", - "Total : 0.156313 [100.00 %]\n", + "Drift : 0.000717676 [ 0.02 %]\n", + "Velocity : 0.00320449 [ 0.10 %]\n", + "Force : 0.55105 [ 16.78 %]\n", + "Coefs : 2.03791 [ 62.07 %]\n", + "Output : 0.00116881 [ 0.04 %]\n", + "Levels : 0.000293264 [ 0.01 %]\n", + "Report : 1.349e-06 [ 0.00 %]\n", + "Balance : 4.9e-07 [ 0.00 %]\n", + "Adjust : 0.688616 [ 20.98 %]\n", + "Total : 3.28302 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5796 636 414 134 162 \n", - "1 : 5765 698 383 136 160 \n", - "2 : 5732 697 397 146 170 \n", - "3 : 5783 683 376 146 154 \n", - "4 : 5745 663 409 170 155 \n", - "5 : 5820 653 383 132 154 \n", - "6 : 5784 660 365 167 166 \n", - "7 : 5770 679 379 136 178 \n", - "8 : 5785 634 415 154 154 \n", - "9 : 5762 702 388 141 149 \n", - "10 : 5752 672 413 143 162 \n", - "11 : 5721 687 430 139 165 \n", - "12 : 5769 660 388 149 176 \n", - "13 : 5797 686 386 148 137 \n", + "0 : 5805 703 409 134 91 \n", + "1 : 5852 704 352 113 121 \n", + "2 : 5821 706 357 124 134 \n", + "3 : 5818 717 356 121 130 \n", + "4 : 5818 701 372 135 116 \n", + "5 : 5876 693 346 112 115 \n", + "6 : 5887 660 364 97 134 \n", + "7 : 5859 705 349 122 107 \n", + "8 : 5853 693 351 125 120 \n", + "9 : 5856 670 374 123 119 \n", + "10 : 5865 661 355 133 128 \n", + "11 : 5790 731 374 118 129 \n", + "12 : 5875 704 339 113 111 \n", + "13 : 5876 662 392 116 108 \n", "\n", - "T : 80781 9410 5526 2041 2242 [100000]\n", + "T : 81851 9710 5090 1686 1663 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.0468e-02 sec\n", - "--- Collate = 7.0859e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 6.2508e-02 sec\n", + "--- Collate = 1.4042e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.795580e-07 < 6.250000e-03 [1336]\n", - "--- Max DT=2.101887e+00 > 1.000000e-01 [69731]\n", + "--- Min DT=5.643840e-07 < 6.250000e-03 [953]\n", + "--- Max DT=2.420058e+00 > 1.000000e-01 [68416]\n", "----------------------------------------------------------------------\n", - " Component | low: 1336/100000\n", - " Component | high: 69731/100000\n", + " Component | low: 953/100000\n", + " Component | high: 68416/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=82] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000593748 [ 0.37 %]\n", - "Velocity : 0.00265758 [ 1.68 %]\n", - "Force : 0.0585073 [ 36.94 %]\n", - "Coefs : 0.024151 [ 15.25 %]\n", - "Output : 0.00515429 [ 3.25 %]\n", - "Levels : 0.000202807 [ 0.13 %]\n", - "Report : 1.36e-06 [ 0.00 %]\n", - "Balance : 6.24e-07 [ 0.00 %]\n", - "Adjust : 0.0670455 [ 42.34 %]\n", - "Total : 0.158364 [100.00 %]\n", + "Drift : 0.000491413 [ 0.02 %]\n", + "Velocity : 0.00173047 [ 0.05 %]\n", + "Force : 0.552377 [ 17.17 %]\n", + "Coefs : 2.0028 [ 62.26 %]\n", + "Output : 0.00689472 [ 0.21 %]\n", + "Levels : 0.000220878 [ 0.01 %]\n", + "Report : 1.099e-06 [ 0.00 %]\n", + "Balance : 5.27e-07 [ 0.00 %]\n", + "Adjust : 0.65222 [ 20.28 %]\n", + "Total : 3.21678 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5795 631 419 138 159 \n", - "1 : 5767 697 383 136 159 \n", - "2 : 5735 690 395 158 164 \n", - "3 : 5779 685 385 138 155 \n", - "4 : 5743 662 412 175 150 \n", - "5 : 5819 648 389 128 158 \n", - "6 : 5793 651 370 163 165 \n", - "7 : 5774 665 393 143 167 \n", - "8 : 5782 644 408 157 151 \n", - "9 : 5765 712 371 154 140 \n", - "10 : 5751 676 398 149 168 \n", - "11 : 5730 687 420 131 174 \n", - "12 : 5766 672 374 161 169 \n", - "13 : 5794 679 394 141 146 \n", + "0 : 5806 702 404 137 93 \n", + "1 : 5852 701 360 111 118 \n", + "2 : 5817 706 361 124 134 \n", + "3 : 5819 717 355 120 131 \n", + "4 : 5816 704 376 128 118 \n", + "5 : 5872 695 345 111 119 \n", + "6 : 5894 650 371 92 135 \n", + "7 : 5862 700 345 131 104 \n", + "8 : 5855 686 355 126 120 \n", + "9 : 5847 683 368 127 117 \n", + "10 : 5858 672 347 142 123 \n", + "11 : 5790 736 374 122 120 \n", + "12 : 5871 704 336 123 108 \n", + "13 : 5876 670 379 114 115 \n", "\n", - "T : 80793 9399 5511 2072 2225 [100000]\n", + "T : 81835 9726 5076 1708 1655 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0474e-02 sec\n", - "--- Collate = 8.0347e-05 sec\n", + "--- Coef/DT = 22.1%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 8.1546e-02 sec\n", + "--- Collate = 1.5023e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.593159e-06 < 6.250000e-03 [1343]\n", - "--- Max DT=2.108568e+00 > 1.000000e-01 [69731]\n", + "--- Min DT=3.024086e-06 < 6.250000e-03 [975]\n", + "--- Max DT=2.426910e+00 > 1.000000e-01 [68395]\n", "----------------------------------------------------------------------\n", - " Component | low: 1343/100000\n", - " Component | high: 69731/100000\n", + " Component | low: 975/100000\n", + " Component | high: 68395/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=82.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000642011 [ 0.42 %]\n", - "Velocity : 0.00209078 [ 1.37 %]\n", - "Force : 0.0581851 [ 38.07 %]\n", - "Coefs : 0.0236993 [ 15.51 %]\n", - "Output : 0.00084635 [ 0.55 %]\n", - "Levels : 0.000219283 [ 0.14 %]\n", - "Report : 1.176e-06 [ 0.00 %]\n", - "Balance : 4.22e-07 [ 0.00 %]\n", - "Adjust : 0.067087 [ 43.90 %]\n", - "Total : 0.152823 [100.00 %]\n", - "----------------------------------------------------------------------\n", - "\n", - "----------------------------------------------------------------------\n", - "--- Level info--------------------------------------------------------\n", - "----------------------------------------------------------------------\n", - "0 : 5798 635 416 133 160 \n", - "1 : 5769 692 393 128 160 \n", - "2 : 5738 696 391 149 168 \n", - "3 : 5775 700 382 128 157 \n", - "4 : 5747 662 409 178 146 \n", - "5 : 5822 648 388 133 151 \n", - "6 : 5796 647 367 159 173 \n", - "7 : 5775 663 386 148 170 \n", - "8 : 5788 637 414 153 150 \n", - "9 : 5762 719 353 163 145 \n", - "10 : 5751 673 408 148 162 \n", - "11 : 5729 697 410 125 181 \n", - "12 : 5767 673 368 171 163 \n", - "13 : 5789 681 395 141 148 \n", - "\n", - "T : 80806 9423 5480 2057 2234 [100000]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000860866 [ 0.03 %]\n", + "Velocity : 0.00162895 [ 0.06 %]\n", + "Force : 0.520934 [ 18.80 %]\n", + "Coefs : 1.57419 [ 56.80 %]\n", + "Output : 0.000761038 [ 0.03 %]\n", + "Levels : 0.000227778 [ 0.01 %]\n", + "Report : 1.004e-06 [ 0.00 %]\n", + "Balance : 3.72e-07 [ 0.00 %]\n", + "Adjust : 0.672579 [ 24.27 %]\n", + "Total : 2.77123 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5814 698 402 137 91 \n", + "1 : 5848 709 362 107 116 \n", + "2 : 5814 705 362 131 130 \n", + "3 : 5819 723 356 116 128 \n", + "4 : 5815 713 370 118 126 \n", + "5 : 5873 699 338 110 122 \n", + "6 : 5885 660 358 102 137 \n", + "7 : 5854 707 356 126 99 \n", + "8 : 5849 685 354 133 121 \n", + "9 : 5846 684 363 132 117 \n", + "10 : 5855 674 352 136 125 \n", + "11 : 5789 740 370 120 123 \n", + "12 : 5878 696 333 131 104 \n", + "13 : 5873 674 378 108 121 \n", + "\n", + "T : 81812 9767 5054 1707 1660 [100000]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info in comp, mlevel=0--------------------------------------\n", + "----------------------------------------------------------------------\n", + " COM: 2.721150e-04\n", + " Position: 2.206277e+01\n", + " --------------------------------------------------\n", + " *** fix pos : 1.111990e+01 \n", + " --------------------------------------------------\n", + " Ang mom: 3.321096e+00\n", + " Zero: 1.286708e-01\n", + " Accel: 3.298344e+00\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " Interaction: 3.487740e-04\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " External: 6.722960e-04\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " Expand: 1.856017e+02\n", + " Force: 3.430597e+00\n", + " Elapsed: 3.003329e+02\n", + "----------------------------------------------------------------------\n", + "\n", + "mstep/Mstep=0/16\n", + "0 |90 1 |89 2 |179 3 |357 4 |715 \n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 1.0405e-02 sec\n", - "--- Collate = 8.0368e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 4.7536e-02 sec\n", + "--- Collate = 7.9926e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.535108e-06 < 6.250000e-03 [1345]\n", - "--- Max DT=2.115252e+00 > 1.000000e-01 [69749]\n", + "--- Min DT=5.832541e-07 < 6.250000e-03 [980]\n", + "--- Max DT=2.433765e+00 > 1.000000e-01 [68362]\n", "----------------------------------------------------------------------\n", - " Component | low: 1345/100000\n", - " Component | high: 69749/100000\n", + " Component | low: 980/100000\n", + " Component | high: 68362/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=82.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000646681 [ 0.40 %]\n", - "Velocity : 0.00216739 [ 1.33 %]\n", - "Force : 0.0586681 [ 36.08 %]\n", - "Coefs : 0.0240503 [ 14.79 %]\n", - "Output : 0.000922357 [ 0.57 %]\n", - "Levels : 0.00843845 [ 5.19 %]\n", - "Report : 1.546e-06 [ 0.00 %]\n", - "Balance : 6.07e-07 [ 0.00 %]\n", - "Adjust : 0.067674 [ 41.62 %]\n", - "Total : 0.162618 [100.00 %]\n", + "Drift : 0.000444959 [ 0.01 %]\n", + "Velocity : 0.00168395 [ 0.05 %]\n", + "Force : 0.569494 [ 16.25 %]\n", + "Coefs : 2.18 [ 62.19 %]\n", + "Output : 0.000874568 [ 0.02 %]\n", + "Levels : 0.000244459 [ 0.01 %]\n", + "Report : 1.407e-06 [ 0.00 %]\n", + "Balance : 4.03e-07 [ 0.00 %]\n", + "Adjust : 0.752656 [ 21.47 %]\n", + "Total : 3.50545 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5784 645 416 148 149 \n", - "1 : 5766 696 389 134 157 \n", - "2 : 5735 694 402 143 168 \n", - "3 : 5773 699 388 118 164 \n", - "4 : 5749 667 401 171 154 \n", - "5 : 5820 641 392 144 145 \n", - "6 : 5798 645 367 155 177 \n", - "7 : 5772 659 396 144 171 \n", - "8 : 5793 635 403 153 158 \n", - "9 : 5764 713 362 149 154 \n", - "10 : 5747 681 402 143 169 \n", - "11 : 5728 695 404 143 172 \n", - "12 : 5776 658 371 171 166 \n", - "13 : 5790 676 408 131 149 \n", + "0 : 5822 687 403 135 95 \n", + "1 : 5849 708 362 107 116 \n", + "2 : 5819 704 353 144 122 \n", + "3 : 5816 724 353 120 129 \n", + "4 : 5816 713 371 114 128 \n", + "5 : 5870 698 340 108 126 \n", + "6 : 5878 671 350 109 134 \n", + "7 : 5850 707 357 127 101 \n", + "8 : 5849 676 359 131 127 \n", + "9 : 5843 682 365 132 120 \n", + "10 : 5852 679 354 133 124 \n", + "11 : 5786 744 372 107 133 \n", + "12 : 5879 691 341 130 101 \n", + "13 : 5873 672 379 109 121 \n", "\n", - "T : 80795 9404 5501 2047 2253 [100000]\n", + "T : 81802 9756 5059 1706 1677 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.6%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0388e-02 sec\n", - "--- Collate = 7.9922e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 3.9599e-02 sec\n", + "--- Collate = 1.7014e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.418993e-07 < 6.250000e-03 [1347]\n", - "--- Max DT=2.121939e+00 > 1.000000e-01 [69758]\n", + "--- Min DT=7.686555e-07 < 6.250000e-03 [975]\n", + "--- Max DT=2.440622e+00 > 1.000000e-01 [68344]\n", "----------------------------------------------------------------------\n", - " Component | low: 1347/100000\n", - " Component | high: 69758/100000\n", + " Component | low: 975/100000\n", + " Component | high: 68344/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=82.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000774707 [ 0.51 %]\n", - "Velocity : 0.00272439 [ 1.78 %]\n", - "Force : 0.0578806 [ 37.79 %]\n", - "Coefs : 0.0235145 [ 15.35 %]\n", - "Output : 0.000849106 [ 0.55 %]\n", - "Levels : 0.000203328 [ 0.13 %]\n", - "Report : 1.22e-06 [ 0.00 %]\n", - "Balance : 3.81e-07 [ 0.00 %]\n", - "Adjust : 0.067187 [ 43.86 %]\n", - "Total : 0.153182 [100.00 %]\n", + "Drift : 0.000539258 [ 0.02 %]\n", + "Velocity : 0.00195853 [ 0.07 %]\n", + "Force : 0.497288 [ 16.93 %]\n", + "Coefs : 1.79087 [ 60.96 %]\n", + "Output : 0.00102073 [ 0.03 %]\n", + "Levels : 0.00833797 [ 0.28 %]\n", + "Report : 9.62e-07 [ 0.00 %]\n", + "Balance : 3.53e-07 [ 0.00 %]\n", + "Adjust : 0.637924 [ 21.71 %]\n", + "Total : 2.93799 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5786 647 401 154 154 \n", - "1 : 5771 690 385 139 157 \n", - "2 : 5738 699 395 143 167 \n", - "3 : 5775 689 391 137 150 \n", - "4 : 5743 678 395 166 160 \n", - "5 : 5819 635 403 141 144 \n", - "6 : 5797 652 357 161 175 \n", - "7 : 5771 662 401 141 167 \n", - "8 : 5798 637 397 139 171 \n", - "9 : 5764 711 368 141 158 \n", - "10 : 5748 691 392 136 175 \n", - "11 : 5733 693 397 153 166 \n", - "12 : 5776 657 366 176 167 \n", - "13 : 5791 667 412 132 152 \n", + "0 : 5822 698 389 130 103 \n", + "1 : 5845 714 356 114 113 \n", + "2 : 5811 716 347 147 121 \n", + "3 : 5816 728 341 130 127 \n", + "4 : 5820 704 372 117 129 \n", + "5 : 5869 696 344 105 128 \n", + "6 : 5876 673 351 105 137 \n", + "7 : 5849 704 369 116 104 \n", + "8 : 5851 673 367 129 122 \n", + "9 : 5848 684 362 132 116 \n", + "10 : 5852 682 354 131 123 \n", + "11 : 5788 746 366 114 128 \n", + "12 : 5879 689 341 131 102 \n", + "13 : 5868 676 374 113 123 \n", "\n", - "T : 80810 9408 5460 2059 2263 [100000]\n", + "T : 81794 9783 5033 1714 1676 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", + "--- Coef/DT = 1.4%\n", "--- Adj/Tot = 1.8%\n", - "--- Update = 1.1371e-02 sec\n", - "--- Collate = 8.7952e-05 sec\n", + "--- Update = 5.4941e-02 sec\n", + "--- Collate = 2.0367e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.842249e-06 < 6.250000e-03 [1367]\n", - "--- Max DT=2.128628e+00 > 1.000000e-01 [69759]\n", + "--- Min DT=6.130210e-07 < 6.250000e-03 [990]\n", + "--- Max DT=2.447481e+00 > 1.000000e-01 [68330]\n", "----------------------------------------------------------------------\n", - " Component | low: 1367/100000\n", - " Component | high: 69759/100000\n", + " Component | low: 990/100000\n", + " Component | high: 68330/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=82.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000631443 [ 0.38 %]\n", - "Velocity : 0.00241252 [ 1.47 %]\n", - "Force : 0.0600295 [ 36.55 %]\n", - "Coefs : 0.0245472 [ 14.95 %]\n", - "Output : 0.00088308 [ 0.54 %]\n", - "Levels : 0.00029891 [ 0.18 %]\n", - "Report : 1.313e-06 [ 0.00 %]\n", - "Balance : 6.57e-07 [ 0.00 %]\n", - "Adjust : 0.0753679 [ 45.89 %]\n", - "Total : 0.164237 [100.00 %]\n", + "Drift : 0.000517497 [ 0.02 %]\n", + "Velocity : 0.00187398 [ 0.07 %]\n", + "Force : 0.513576 [ 18.49 %]\n", + "Coefs : 1.60315 [ 57.71 %]\n", + "Output : 0.00100904 [ 0.04 %]\n", + "Levels : 0.000273727 [ 0.01 %]\n", + "Report : 1.053e-06 [ 0.00 %]\n", + "Balance : 4.39e-07 [ 0.00 %]\n", + "Adjust : 0.657541 [ 23.67 %]\n", + "Total : 2.778 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5788 650 391 155 158 \n", - "1 : 5770 696 375 153 148 \n", - "2 : 5738 701 388 157 158 \n", - "3 : 5791 681 383 141 146 \n", - "4 : 5742 680 397 154 169 \n", - "5 : 5819 632 409 144 138 \n", - "6 : 5799 651 357 147 188 \n", - "7 : 5771 667 387 146 171 \n", - "8 : 5796 637 397 143 169 \n", - "9 : 5762 707 377 146 150 \n", - "10 : 5749 687 393 146 167 \n", - "11 : 5730 699 400 138 175 \n", - "12 : 5776 657 366 172 171 \n", - "13 : 5791 675 401 145 142 \n", + "0 : 5831 686 401 119 105 \n", + "1 : 5840 709 364 120 109 \n", + "2 : 5808 713 357 147 117 \n", + "3 : 5818 719 350 132 123 \n", + "4 : 5811 723 361 120 127 \n", + "5 : 5872 699 335 116 120 \n", + "6 : 5877 675 339 123 128 \n", + "7 : 5847 701 370 120 104 \n", + "8 : 5853 668 370 135 116 \n", + "9 : 5839 683 372 131 117 \n", + "10 : 5854 678 359 131 120 \n", + "11 : 5789 741 374 113 125 \n", + "12 : 5880 683 354 121 104 \n", + "13 : 5865 682 370 111 126 \n", "\n", - "T : 80822 9420 5421 2087 2250 [100000]\n", + "T : 81784 9760 5076 1739 1641 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 1.0331e-02 sec\n", - "--- Collate = 7.5623e-05 sec\n", + "--- Coef/DT = 2.2%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 4.3833e-02 sec\n", + "--- Collate = 2.5870e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.388075e-06 < 6.250000e-03 [1376]\n", - "--- Max DT=2.135321e+00 > 1.000000e-01 [69741]\n", + "--- Min DT=3.024772e-06 < 6.250000e-03 [974]\n", + "--- Max DT=2.454343e+00 > 1.000000e-01 [68318]\n", "----------------------------------------------------------------------\n", - " Component | low: 1376/100000\n", - " Component | high: 69741/100000\n", + " Component | low: 974/100000\n", + " Component | high: 68318/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=82.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000881494 [ 0.30 %]\n", - "Velocity : 0.00388651 [ 1.33 %]\n", - "Force : 0.0709107 [ 24.19 %]\n", - "Coefs : 0.126733 [ 43.24 %]\n", - "Output : 0.00180865 [ 0.62 %]\n", - "Levels : 0.000268192 [ 0.09 %]\n", - "Report : 5.94e-07 [ 0.00 %]\n", - "Balance : 3.43e-07 [ 0.00 %]\n", - "Adjust : 0.0885419 [ 30.21 %]\n", - "Total : 0.29309 [100.00 %]\n", + "Drift : 0.000533131 [ 0.02 %]\n", + "Velocity : 0.00574984 [ 0.17 %]\n", + "Force : 0.549042 [ 16.40 %]\n", + "Coefs : 2.06536 [ 61.70 %]\n", + "Output : 0.000990481 [ 0.03 %]\n", + "Levels : 0.000269001 [ 0.01 %]\n", + "Report : 9.34e-07 [ 0.00 %]\n", + "Balance : 6.02e-07 [ 0.00 %]\n", + "Adjust : 0.725334 [ 21.67 %]\n", + "Total : 3.34733 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5790 653 385 162 152 \n", - "1 : 5776 689 382 133 162 \n", - "2 : 5735 705 393 138 171 \n", - "3 : 5792 673 385 135 157 \n", - "4 : 5744 681 398 145 174 \n", - "5 : 5815 636 405 146 140 \n", - "6 : 5800 650 350 152 190 \n", - "7 : 5767 667 389 148 171 \n", - "8 : 5796 639 393 144 170 \n", - "9 : 5767 695 372 156 152 \n", - "10 : 5743 693 390 148 168 \n", - "11 : 5740 694 388 137 183 \n", - "12 : 5779 654 375 160 174 \n", - "13 : 5787 685 390 152 140 \n", + "0 : 5824 702 397 115 104 \n", + "1 : 5842 716 358 121 105 \n", + "2 : 5813 697 376 132 124 \n", + "3 : 5815 723 353 125 126 \n", + "4 : 5815 722 359 119 127 \n", + "5 : 5872 702 331 118 119 \n", + "6 : 5875 670 346 118 133 \n", + "7 : 5843 705 366 119 109 \n", + "8 : 5852 673 370 126 121 \n", + "9 : 5845 681 370 129 117 \n", + "10 : 5848 681 360 135 118 \n", + "11 : 5790 736 380 115 121 \n", + "12 : 5878 687 338 133 106 \n", + "13 : 5864 682 375 104 129 \n", "\n", - "T : 80831 9414 5395 2056 2304 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81776 9777 5079 1709 1659 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 1.8%\n", - "--- Update = 9.1263e-03 sec\n", - "--- Collate = 4.8265e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 4.3758e-02 sec\n", + "--- Collate = 1.1043e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.309337e-06 < 6.250000e-03 [1394]\n", - "--- Max DT=2.142016e+00 > 1.000000e-01 [69718]\n", + "--- Min DT=1.487845e-06 < 6.250000e-03 [964]\n", + "--- Max DT=2.461207e+00 > 1.000000e-01 [68298]\n", "----------------------------------------------------------------------\n", - " Component | low: 1394/100000\n", - " Component | high: 69718/100000\n", + " Component | low: 964/100000\n", + " Component | high: 68298/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=82.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0013928 [ 0.87 %]\n", - "Velocity : 0.00396349 [ 2.49 %]\n", - "Force : 0.059944 [ 37.64 %]\n", - "Coefs : 0.0230859 [ 14.49 %]\n", - "Output : 0.00163225 [ 1.02 %]\n", - "Levels : 0.000258293 [ 0.16 %]\n", - "Report : 5.37e-07 [ 0.00 %]\n", - "Balance : 3.48e-07 [ 0.00 %]\n", - "Adjust : 0.0689374 [ 43.28 %]\n", - "Total : 0.159273 [100.00 %]\n", + "Drift : 0.000645196 [ 0.02 %]\n", + "Velocity : 0.00224597 [ 0.07 %]\n", + "Force : 0.507098 [ 16.72 %]\n", + "Coefs : 1.83875 [ 60.63 %]\n", + "Output : 0.00120974 [ 0.04 %]\n", + "Levels : 0.000254342 [ 0.01 %]\n", + "Report : 5.67e-07 [ 0.00 %]\n", + "Balance : 2.24e-07 [ 0.00 %]\n", + "Adjust : 0.682477 [ 22.50 %]\n", + "Total : 3.03272 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5788 653 402 147 152 \n", - "1 : 5778 684 380 149 151 \n", - "2 : 5731 713 386 144 168 \n", - "3 : 5799 672 374 132 165 \n", - "4 : 5748 679 391 149 175 \n", - "5 : 5820 627 409 151 135 \n", - "6 : 5796 656 346 159 185 \n", - "7 : 5771 658 400 142 171 \n", - "8 : 5793 639 400 141 169 \n", - "9 : 5763 704 378 146 151 \n", - "10 : 5748 695 381 152 166 \n", - "11 : 5746 694 380 137 185 \n", - "12 : 5785 650 380 146 181 \n", - "13 : 5791 676 393 153 141 \n", + "0 : 5819 707 395 115 106 \n", + "1 : 5843 713 361 131 94 \n", + "2 : 5810 701 370 137 124 \n", + "3 : 5808 726 352 138 118 \n", + "4 : 5816 718 366 115 127 \n", + "5 : 5874 695 334 125 114 \n", + "6 : 5875 672 345 119 131 \n", + "7 : 5838 716 351 133 104 \n", + "8 : 5852 670 368 137 115 \n", + "9 : 5842 684 370 128 118 \n", + "10 : 5847 677 372 131 115 \n", + "11 : 5785 736 382 116 123 \n", + "12 : 5879 687 339 133 104 \n", + "13 : 5868 680 375 103 128 \n", "\n", - "T : 80857 9400 5400 2048 2295 [100000]\n", + "T : 81756 9782 5080 1761 1621 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", + "--- Coef/DT = 30.2%\n", "--- Adj/Tot = 1.8%\n", - "--- Update = 1.0101e-02 sec\n", - "--- Collate = 6.3815e-05 sec\n", + "--- Update = 5.2358e-02 sec\n", + "--- Collate = 2.8358e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.037217e-07 < 6.250000e-03 [1387]\n", - "--- Max DT=2.148713e+00 > 1.000000e-01 [69725]\n", + "--- Min DT=5.307848e-07 < 6.250000e-03 [957]\n", + "--- Max DT=2.468074e+00 > 1.000000e-01 [68280]\n", "----------------------------------------------------------------------\n", - " Component | low: 1387/100000\n", - " Component | high: 69725/100000\n", + " Component | low: 957/100000\n", + " Component | high: 68280/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=82.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00133016 [ 0.85 %]\n", - "Velocity : 0.00433139 [ 2.77 %]\n", - "Force : 0.0589644 [ 37.74 %]\n", - "Coefs : 0.0224321 [ 14.36 %]\n", - "Output : 0.00157472 [ 1.01 %]\n", - "Levels : 0.000237695 [ 0.15 %]\n", - "Report : 6.66e-07 [ 0.00 %]\n", - "Balance : 3.44e-07 [ 0.00 %]\n", - "Adjust : 0.0673165 [ 43.09 %]\n", - "Total : 0.156239 [100.00 %]\n", + "Drift : 0.000681098 [ 0.02 %]\n", + "Velocity : 0.00247902 [ 0.07 %]\n", + "Force : 0.573259 [ 16.33 %]\n", + "Coefs : 2.23006 [ 63.53 %]\n", + "Output : 0.00137414 [ 0.04 %]\n", + "Levels : 0.00028164 [ 0.01 %]\n", + "Report : 9.58e-07 [ 0.00 %]\n", + "Balance : 4.12e-07 [ 0.00 %]\n", + "Adjust : 0.701898 [ 20.00 %]\n", + "Total : 3.51008 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5793 649 398 138 164 \n", - "1 : 5780 686 383 143 150 \n", - "2 : 5740 699 390 150 163 \n", - "3 : 5803 667 368 147 157 \n", - "4 : 5751 682 376 157 176 \n", - "5 : 5826 621 415 139 141 \n", - "6 : 5802 650 355 144 191 \n", - "7 : 5770 664 398 133 177 \n", - "8 : 5789 644 407 133 169 \n", - "9 : 5766 700 373 155 148 \n", - "10 : 5753 692 376 149 172 \n", - "11 : 5752 686 379 149 176 \n", - "12 : 5785 653 375 150 179 \n", - "13 : 5786 676 395 153 144 \n", + "0 : 5830 697 389 116 110 \n", + "1 : 5839 720 358 130 95 \n", + "2 : 5808 702 369 134 129 \n", + "3 : 5815 713 354 145 115 \n", + "4 : 5817 713 365 117 130 \n", + "5 : 5879 694 329 117 123 \n", + "6 : 5875 674 349 105 139 \n", + "7 : 5838 722 346 138 98 \n", + "8 : 5850 675 361 139 117 \n", + "9 : 5839 686 368 128 121 \n", + "10 : 5840 682 382 117 121 \n", + "11 : 5777 746 381 117 121 \n", + "12 : 5876 688 342 125 111 \n", + "13 : 5864 683 379 104 124 \n", "\n", - "T : 80896 9369 5388 2040 2307 [100000]\n", + "T : 81747 9795 5072 1732 1654 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", - "--- Adj/Tot = 1.8%\n", - "--- Update = 1.0363e-02 sec\n", - "--- Collate = 6.7186e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 6.7439e-02 sec\n", + "--- Collate = 1.0177e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.207561e-07 < 6.250000e-03 [1387]\n", - "--- Max DT=2.155414e+00 > 1.000000e-01 [69722]\n", + "--- Min DT=1.631814e-06 < 6.250000e-03 [949]\n", + "--- Max DT=2.474943e+00 > 1.000000e-01 [68275]\n", "----------------------------------------------------------------------\n", - " Component | low: 1387/100000\n", - " Component | high: 69722/100000\n", + " Component | low: 949/100000\n", + " Component | high: 68275/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=82.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00134054 [ 0.77 %]\n", - "Velocity : 0.0044688 [ 2.57 %]\n", - "Force : 0.0606037 [ 34.90 %]\n", - "Coefs : 0.0227019 [ 13.07 %]\n", - "Output : 0.00165245 [ 0.95 %]\n", - "Levels : 0.000297078 [ 0.17 %]\n", - "Report : 6.89e-07 [ 0.00 %]\n", - "Balance : 3.09e-07 [ 0.00 %]\n", - "Adjust : 0.0825185 [ 47.52 %]\n", - "Total : 0.173643 [100.00 %]\n", + "Drift : 0.000520245 [ 0.02 %]\n", + "Velocity : 0.00215739 [ 0.07 %]\n", + "Force : 0.526023 [ 17.23 %]\n", + "Coefs : 1.90582 [ 62.43 %]\n", + "Output : 0.00148824 [ 0.05 %]\n", + "Levels : 0.000292451 [ 0.01 %]\n", + "Report : 4.69e-07 [ 0.00 %]\n", + "Balance : 2.71e-07 [ 0.00 %]\n", + "Adjust : 0.616217 [ 20.19 %]\n", + "Total : 3.05257 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5787 655 392 134 174 \n", - "1 : 5779 686 383 142 152 \n", - "2 : 5743 702 383 147 167 \n", - "3 : 5805 659 369 148 161 \n", - "4 : 5750 680 382 144 186 \n", - "5 : 5826 620 412 129 155 \n", - "6 : 5807 642 363 136 194 \n", - "7 : 5774 655 399 143 171 \n", - "8 : 5791 641 404 134 172 \n", - "9 : 5766 698 373 161 144 \n", - "10 : 5756 686 372 167 161 \n", - "11 : 5751 687 379 149 176 \n", - "12 : 5788 652 374 152 176 \n", - "13 : 5786 678 395 150 145 \n", + "0 : 5828 704 379 114 117 \n", + "1 : 5836 714 379 115 98 \n", + "2 : 5804 704 370 134 130 \n", + "3 : 5816 704 366 139 117 \n", + "4 : 5818 706 377 109 132 \n", + "5 : 5876 700 328 118 120 \n", + "6 : 5877 668 352 110 135 \n", + "7 : 5832 731 346 131 102 \n", + "8 : 5855 666 365 141 115 \n", + "9 : 5843 693 360 131 115 \n", + "10 : 5844 678 371 130 119 \n", + "11 : 5780 744 387 114 117 \n", + "12 : 5879 684 341 132 106 \n", + "13 : 5858 704 362 110 120 \n", "\n", - "T : 80909 9341 5380 2036 2334 [100000]\n", + "T : 81746 9800 5083 1728 1643 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", + "--- Coef/DT = 1.5%\n", "--- Adj/Tot = 1.8%\n", - "--- Update = 1.0438e-02 sec\n", - "--- Collate = 7.1664e-05 sec\n", + "--- Update = 5.8292e-02 sec\n", + "--- Collate = 2.3366e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.175454e-06 < 6.250000e-03 [1427]\n", - "--- Max DT=2.162117e+00 > 1.000000e-01 [69728]\n", + "--- Min DT=5.267961e-06 < 6.250000e-03 [934]\n", + "--- Max DT=2.481814e+00 > 1.000000e-01 [68275]\n", "----------------------------------------------------------------------\n", - " Component | low: 1427/100000\n", - " Component | high: 69728/100000\n", + " Component | low: 934/100000\n", + " Component | high: 68275/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=82.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00143664 [ 0.86 %]\n", - "Velocity : 0.00473552 [ 2.84 %]\n", - "Force : 0.0616958 [ 37.03 %]\n", - "Coefs : 0.0228107 [ 13.69 %]\n", - "Output : 0.00164806 [ 0.99 %]\n", - "Levels : 0.000243605 [ 0.15 %]\n", - "Report : 5.5e-07 [ 0.00 %]\n", - "Balance : 3.33e-07 [ 0.00 %]\n", - "Adjust : 0.0740003 [ 44.41 %]\n", - "Total : 0.166631 [100.00 %]\n", + "Drift : 0.000616069 [ 0.02 %]\n", + "Velocity : 0.00244371 [ 0.07 %]\n", + "Force : 0.538973 [ 16.37 %]\n", + "Coefs : 2.03093 [ 61.69 %]\n", + "Output : 0.00126401 [ 0.04 %]\n", + "Levels : 0.000279888 [ 0.01 %]\n", + "Report : 3.99e-07 [ 0.00 %]\n", + "Balance : 2.72e-07 [ 0.00 %]\n", + "Adjust : 0.717396 [ 21.79 %]\n", + "Total : 3.29195 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5788 658 387 142 167 \n", - "1 : 5784 690 378 139 151 \n", - "2 : 5743 700 390 133 176 \n", - "3 : 5809 662 358 153 160 \n", - "4 : 5756 683 364 153 186 \n", - "5 : 5825 614 424 122 157 \n", - "6 : 5814 637 365 129 197 \n", - "7 : 5778 654 398 142 170 \n", - "8 : 5792 641 408 134 167 \n", - "9 : 5768 698 374 159 143 \n", - "10 : 5759 686 367 159 171 \n", - "11 : 5753 690 371 144 184 \n", - "12 : 5793 641 389 139 180 \n", - "13 : 5783 682 402 137 150 \n", + "0 : 5831 699 373 123 116 \n", + "1 : 5832 713 372 122 103 \n", + "2 : 5807 708 358 136 133 \n", + "3 : 5816 705 365 134 122 \n", + "4 : 5814 700 382 112 134 \n", + "5 : 5875 695 333 118 121 \n", + "6 : 5881 664 343 120 134 \n", + "7 : 5830 734 340 133 105 \n", + "8 : 5856 666 358 145 117 \n", + "9 : 5838 693 365 130 116 \n", + "10 : 5848 672 377 126 119 \n", + "11 : 5785 735 385 118 119 \n", + "12 : 5881 669 350 137 105 \n", + "13 : 5860 702 361 121 110 \n", "\n", - "T : 80945 9336 5375 1985 2359 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81754 9755 5062 1775 1654 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", + "--- Coef/DT = 1.3%\n", "--- Adj/Tot = 1.8%\n", - "--- Update = 1.0360e-02 sec\n", - "--- Collate = 9.2885e-05 sec\n", + "--- Update = 4.5540e-02 sec\n", + "--- Collate = 8.0319e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.067064e-06 < 6.250000e-03 [1434]\n", - "--- Max DT=2.168822e+00 > 1.000000e-01 [69705]\n", + "--- Min DT=2.615305e-06 < 6.250000e-03 [948]\n", + "--- Max DT=2.488688e+00 > 1.000000e-01 [68265]\n", "----------------------------------------------------------------------\n", - " Component | low: 1434/100000\n", - " Component | high: 69705/100000\n", + " Component | low: 948/100000\n", + " Component | high: 68265/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=83] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00142298 [ 0.79 %]\n", - "Velocity : 0.00478944 [ 2.66 %]\n", - "Force : 0.0697531 [ 38.67 %]\n", - "Coefs : 0.0232461 [ 12.89 %]\n", - "Output : 0.00701898 [ 3.89 %]\n", - "Levels : 0.000278305 [ 0.15 %]\n", - "Report : 1.34e-06 [ 0.00 %]\n", - "Balance : 8.42e-07 [ 0.00 %]\n", - "Adjust : 0.0737751 [ 40.90 %]\n", - "Total : 0.180371 [100.00 %]\n", + "Drift : 0.000407655 [ 0.01 %]\n", + "Velocity : 0.0015969 [ 0.05 %]\n", + "Force : 0.571902 [ 16.96 %]\n", + "Coefs : 2.13526 [ 63.33 %]\n", + "Output : 0.00303925 [ 0.09 %]\n", + "Levels : 0.000184172 [ 0.01 %]\n", + "Report : 4.36e-07 [ 0.00 %]\n", + "Balance : 2.1e-07 [ 0.00 %]\n", + "Adjust : 0.659159 [ 19.55 %]\n", + "Total : 3.37158 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5793 647 392 137 173 \n", - "1 : 5786 688 376 145 147 \n", - "2 : 5744 699 387 136 176 \n", - "3 : 5809 657 354 156 166 \n", - "4 : 5752 692 363 149 186 \n", - "5 : 5828 610 411 134 159 \n", - "6 : 5813 647 352 142 188 \n", - "7 : 5784 653 391 134 180 \n", - "8 : 5793 642 399 142 166 \n", - "9 : 5773 685 382 151 151 \n", - "10 : 5757 686 378 148 173 \n", - "11 : 5763 675 375 142 187 \n", - "12 : 5792 636 401 130 183 \n", - "13 : 5788 673 407 137 149 \n", + "0 : 5830 695 384 117 116 \n", + "1 : 5838 711 375 126 92 \n", + "2 : 5805 715 355 126 141 \n", + "3 : 5815 699 376 126 126 \n", + "4 : 5815 700 383 114 130 \n", + "5 : 5880 690 334 126 112 \n", + "6 : 5879 671 337 124 131 \n", + "7 : 5831 729 338 132 112 \n", + "8 : 5856 665 364 131 126 \n", + "9 : 5835 695 365 130 117 \n", + "10 : 5844 680 379 114 125 \n", + "11 : 5783 738 373 133 115 \n", + "12 : 5875 676 360 127 104 \n", + "13 : 5857 698 363 132 104 \n", "\n", - "T : 80975 9290 5368 1983 2384 [100000]\n", + "T : 81743 9762 5086 1758 1651 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", + "--- Coef/DT = 1.7%\n", "--- Adj/Tot = 1.7%\n", - "--- Update = 1.0857e-02 sec\n", - "--- Collate = 7.3150e-05 sec\n", + "--- Update = 3.9699e-02 sec\n", + "--- Collate = 1.1016e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.216535e-06 < 6.250000e-03 [1431]\n", - "--- Max DT=2.175531e+00 > 1.000000e-01 [69703]\n", + "--- Min DT=7.026859e-06 < 6.250000e-03 [982]\n", + "--- Max DT=2.495564e+00 > 1.000000e-01 [68231]\n", "----------------------------------------------------------------------\n", - " Component | low: 1431/100000\n", - " Component | high: 69703/100000\n", + " Component | low: 982/100000\n", + " Component | high: 68231/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=83.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00166763 [ 0.93 %]\n", - "Velocity : 0.00489699 [ 2.72 %]\n", - "Force : 0.0679008 [ 37.74 %]\n", - "Coefs : 0.0238812 [ 13.27 %]\n", - "Output : 0.0017252 [ 0.96 %]\n", - "Levels : 0.000279564 [ 0.16 %]\n", - "Report : 7.38e-07 [ 0.00 %]\n", - "Balance : 3.28e-07 [ 0.00 %]\n", - "Adjust : 0.079498 [ 44.19 %]\n", - "Total : 0.179914 [100.00 %]\n", + "Drift : 0.00142194 [ 0.04 %]\n", + "Velocity : 0.00109135 [ 0.03 %]\n", + "Force : 0.616953 [ 16.32 %]\n", + "Coefs : 2.41444 [ 63.88 %]\n", + "Output : 0.000737859 [ 0.02 %]\n", + "Levels : 0.000176966 [ 0.00 %]\n", + "Report : 2.54e-07 [ 0.00 %]\n", + "Balance : 1.32e-07 [ 0.00 %]\n", + "Adjust : 0.744681 [ 19.70 %]\n", + "Total : 3.77953 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5789 646 387 155 165 \n", - "1 : 5789 681 376 145 151 \n", - "2 : 5742 706 390 143 161 \n", - "3 : 5816 653 345 166 162 \n", - "4 : 5752 680 382 152 176 \n", - "5 : 5833 594 416 136 163 \n", - "6 : 5813 647 352 143 187 \n", - "7 : 5783 651 385 147 176 \n", - "8 : 5794 640 403 139 166 \n", - "9 : 5786 676 381 141 158 \n", - "10 : 5758 685 376 144 179 \n", - "11 : 5766 669 385 137 185 \n", - "12 : 5787 635 406 139 175 \n", - "13 : 5785 674 406 141 148 \n", + "0 : 5825 696 380 125 116 \n", + "1 : 5833 718 376 124 91 \n", + "2 : 5806 713 359 121 143 \n", + "3 : 5816 692 373 142 119 \n", + "4 : 5807 709 382 125 119 \n", + "5 : 5877 690 330 128 117 \n", + "6 : 5871 676 337 120 138 \n", + "7 : 5829 729 343 125 116 \n", + "8 : 5850 665 368 134 125 \n", + "9 : 5840 677 378 132 115 \n", + "10 : 5843 683 378 106 132 \n", + "11 : 5775 747 360 149 111 \n", + "12 : 5874 677 350 130 111 \n", + "13 : 5863 689 366 132 104 \n", "\n", - "T : 80993 9237 5390 2028 2352 [100000]\n", + "T : 81709 9761 5080 1793 1657 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.1506e-02 sec\n", - "--- Collate = 7.4057e-05 sec\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 3.7727e-02 sec\n", + "--- Collate = 1.1013e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.989181e-06 < 6.250000e-03 [1450]\n", - "--- Max DT=2.182241e+00 > 1.000000e-01 [69707]\n", + "--- Min DT=2.383877e-06 < 6.250000e-03 [944]\n", + "--- Max DT=2.502443e+00 > 1.000000e-01 [68224]\n", "----------------------------------------------------------------------\n", - " Component | low: 1450/100000\n", - " Component | high: 69707/100000\n", + " Component | low: 944/100000\n", + " Component | high: 68224/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=83.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00151249 [ 0.60 %]\n", - "Velocity : 0.00488681 [ 1.95 %]\n", - "Force : 0.0967445 [ 38.52 %]\n", - "Coefs : 0.0367668 [ 14.64 %]\n", - "Output : 0.00173952 [ 0.69 %]\n", - "Levels : 0.000292883 [ 0.12 %]\n", - "Report : 9.47e-07 [ 0.00 %]\n", - "Balance : 2.86e-07 [ 0.00 %]\n", - "Adjust : 0.109141 [ 43.46 %]\n", - "Total : 0.251151 [100.00 %]\n", + "Drift : 0.000264334 [ 0.01 %]\n", + "Velocity : 0.00122048 [ 0.04 %]\n", + "Force : 0.4884 [ 14.75 %]\n", + "Coefs : 2.12542 [ 64.20 %]\n", + "Output : 0.00079062 [ 0.02 %]\n", + "Levels : 0.00821202 [ 0.25 %]\n", + "Report : 3.04e-07 [ 0.00 %]\n", + "Balance : 1.5e-07 [ 0.00 %]\n", + "Adjust : 0.686379 [ 20.73 %]\n", + "Total : 3.31072 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5794 637 388 148 175 \n", - "1 : 5792 681 370 142 157 \n", - "2 : 5750 699 383 152 158 \n", - "3 : 5816 657 344 152 173 \n", - "4 : 5751 675 385 157 174 \n", - "5 : 5825 607 407 139 164 \n", - "6 : 5814 648 357 146 177 \n", - "7 : 5779 658 386 146 173 \n", - "8 : 5797 646 384 147 168 \n", - "9 : 5783 673 384 147 155 \n", - "10 : 5761 677 373 150 181 \n", - "11 : 5766 667 389 132 188 \n", - "12 : 5789 631 408 149 165 \n", - "13 : 5786 669 408 140 151 \n", + "0 : 5825 694 386 114 123 \n", + "1 : 5837 709 378 124 94 \n", + "2 : 5804 716 351 132 139 \n", + "3 : 5813 691 378 135 125 \n", + "4 : 5807 700 393 125 117 \n", + "5 : 5872 689 335 127 119 \n", + "6 : 5872 674 338 121 137 \n", + "7 : 5830 722 354 117 119 \n", + "8 : 5848 667 367 135 125 \n", + "9 : 5841 669 381 134 117 \n", + "10 : 5839 690 378 101 134 \n", + "11 : 5775 746 364 143 114 \n", + "12 : 5869 679 356 129 109 \n", + "13 : 5864 684 374 130 102 \n", "\n", - "T : 81003 9225 5366 2047 2359 [100000]\n", + "T : 81696 9730 5133 1767 1674 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 1.8%\n", - "--- Update = 1.0039e-02 sec\n", - "--- Collate = 6.7390e-05 sec\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 4.1179e-02 sec\n", + "--- Collate = 1.3017e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.980853e-06 < 6.250000e-03 [1421]\n", - "--- Max DT=2.188955e+00 > 1.000000e-01 [69696]\n", + "--- Min DT=3.224550e-05 < 6.250000e-03 [966]\n", + "--- Max DT=2.509324e+00 > 1.000000e-01 [68216]\n", "----------------------------------------------------------------------\n", - " Component | low: 1421/100000\n", - " Component | high: 69696/100000\n", + " Component | low: 966/100000\n", + " Component | high: 68216/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=83.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00132795 [ 0.82 %]\n", - "Velocity : 0.00456698 [ 2.81 %]\n", - "Force : 0.0604466 [ 37.21 %]\n", - "Coefs : 0.0227652 [ 14.01 %]\n", - "Output : 0.00176676 [ 1.09 %]\n", - "Levels : 0.000245276 [ 0.15 %]\n", - "Report : 5.79e-07 [ 0.00 %]\n", - "Balance : 3.64e-07 [ 0.00 %]\n", - "Adjust : 0.0712634 [ 43.87 %]\n", - "Total : 0.162444 [100.00 %]\n", - "----------------------------------------------------------------------\n", - "\n", - "----------------------------------------------------------------------\n", - "--- Level info--------------------------------------------------------\n", - "----------------------------------------------------------------------\n", - "0 : 5801 629 390 137 185 \n", - "1 : 5792 679 367 151 153 \n", - "2 : 5756 693 381 146 166 \n", - "3 : 5817 655 342 153 175 \n", - "4 : 5755 654 404 151 178 \n", - "5 : 5826 605 411 137 163 \n", - "6 : 5815 644 357 157 169 \n", - "7 : 5785 657 380 150 170 \n", - "8 : 5801 648 382 147 164 \n", - "9 : 5779 684 385 133 161 \n", - "10 : 5759 676 380 147 180 \n", - "11 : 5760 671 386 138 187 \n", - "12 : 5784 632 412 146 168 \n", - "13 : 5778 677 421 124 154 \n", - "\n", - "T : 81008 9204 5398 2017 2373 [100000]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000263772 [ 0.01 %]\n", + "Velocity : 0.00226169 [ 0.06 %]\n", + "Force : 0.556056 [ 15.94 %]\n", + "Coefs : 2.19623 [ 62.96 %]\n", + "Output : 0.000791237 [ 0.02 %]\n", + "Levels : 0.000150982 [ 0.00 %]\n", + "Report : 4.26e-07 [ 0.00 %]\n", + "Balance : 1.17e-07 [ 0.00 %]\n", + "Adjust : 0.73271 [ 21.00 %]\n", + "Total : 3.48849 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5824 701 379 121 117 \n", + "1 : 5840 707 374 123 98 \n", + "2 : 5806 712 355 128 141 \n", + "3 : 5814 694 378 132 124 \n", + "4 : 5809 701 384 131 117 \n", + "5 : 5873 691 330 124 124 \n", + "6 : 5872 669 351 111 139 \n", + "7 : 5834 717 351 119 121 \n", + "8 : 5852 661 370 129 130 \n", + "9 : 5840 669 373 143 117 \n", + "10 : 5841 688 376 102 135 \n", + "11 : 5773 746 369 130 124 \n", + "12 : 5865 677 363 126 111 \n", + "13 : 5867 680 378 131 98 \n", + "\n", + "T : 81710 9713 5131 1750 1696 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.6%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 9.9819e-03 sec\n", - "--- Collate = 6.9701e-05 sec\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 4.4796e-02 sec\n", + "--- Collate = 1.1173e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.661119e-07 < 6.250000e-03 [1460]\n", - "--- Max DT=2.195671e+00 > 1.000000e-01 [69709]\n", + "--- Min DT=8.770149e-06 < 6.250000e-03 [969]\n", + "--- Max DT=2.516207e+00 > 1.000000e-01 [68222]\n", "----------------------------------------------------------------------\n", - " Component | low: 1460/100000\n", - " Component | high: 69709/100000\n", + " Component | low: 969/100000\n", + " Component | high: 68222/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=83.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00132231 [ 0.82 %]\n", - "Velocity : 0.00444692 [ 2.75 %]\n", - "Force : 0.0597353 [ 36.99 %]\n", - "Coefs : 0.0234917 [ 14.55 %]\n", - "Output : 0.00200093 [ 1.24 %]\n", - "Levels : 0.000245534 [ 0.15 %]\n", - "Report : 5.49e-07 [ 0.00 %]\n", - "Balance : 3.81e-07 [ 0.00 %]\n", - "Adjust : 0.07017 [ 43.46 %]\n", - "Total : 0.16147 [100.00 %]\n", + "Drift : 0.00043513 [ 0.01 %]\n", + "Velocity : 0.00155413 [ 0.05 %]\n", + "Force : 0.619399 [ 18.14 %]\n", + "Coefs : 2.15396 [ 63.10 %]\n", + "Output : 0.000608087 [ 0.02 %]\n", + "Levels : 0.000141005 [ 0.00 %]\n", + "Report : 6.1e-07 [ 0.00 %]\n", + "Balance : 2.55e-07 [ 0.00 %]\n", + "Adjust : 0.63767 [ 18.68 %]\n", + "Total : 3.4138 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5795 630 397 143 177 \n", - "1 : 5795 670 375 149 153 \n", - "2 : 5753 694 384 140 171 \n", - "3 : 5819 657 335 148 183 \n", - "4 : 5750 661 392 169 170 \n", - "5 : 5824 603 403 142 170 \n", - "6 : 5813 640 361 159 169 \n", - "7 : 5790 657 378 144 173 \n", - "8 : 5805 642 375 159 161 \n", - "9 : 5783 677 390 128 164 \n", - "10 : 5758 683 376 149 176 \n", - "11 : 5760 667 389 139 187 \n", - "12 : 5788 623 418 145 168 \n", - "13 : 5777 683 410 131 153 \n", + "0 : 5823 699 373 132 115 \n", + "1 : 5841 709 366 132 94 \n", + "2 : 5802 716 352 129 143 \n", + "3 : 5810 704 371 126 131 \n", + "4 : 5805 701 386 144 106 \n", + "5 : 5874 691 327 130 120 \n", + "6 : 5873 668 355 111 135 \n", + "7 : 5831 717 360 118 116 \n", + "8 : 5850 672 365 126 129 \n", + "9 : 5833 675 389 138 107 \n", + "10 : 5837 689 383 102 131 \n", + "11 : 5767 756 369 128 122 \n", + "12 : 5868 674 367 121 112 \n", + "13 : 5866 676 388 129 95 \n", "\n", - "T : 81010 9187 5383 2045 2375 [100000]\n", + "T : 81680 9747 5151 1766 1656 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", + "--- Coef/DT = 1.4%\n", "--- Adj/Tot = 1.8%\n", - "--- Update = 9.7128e-03 sec\n", - "--- Collate = 6.3167e-05 sec\n", + "--- Update = 8.9470e-02 sec\n", + "--- Collate = 2.7773e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.513818e-07 < 6.250000e-03 [1426]\n", - "--- Max DT=2.202390e+00 > 1.000000e-01 [69731]\n", + "--- Min DT=4.111316e-06 < 6.250000e-03 [969]\n", + "--- Max DT=2.523093e+00 > 1.000000e-01 [68206]\n", "----------------------------------------------------------------------\n", - " Component | low: 1426/100000\n", - " Component | high: 69731/100000\n", + " Component | low: 969/100000\n", + " Component | high: 68206/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=83.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00140936 [ 0.90 %]\n", - "Velocity : 0.00447188 [ 2.85 %]\n", - "Force : 0.0587843 [ 37.43 %]\n", - "Coefs : 0.0228965 [ 14.58 %]\n", - "Output : 0.00166771 [ 1.06 %]\n", - "Levels : 0.000234277 [ 0.15 %]\n", - "Report : 5.45e-07 [ 0.00 %]\n", - "Balance : 4.02e-07 [ 0.00 %]\n", - "Adjust : 0.0675481 [ 43.01 %]\n", - "Total : 0.157069 [100.00 %]\n", + "Drift : 0.000237452 [ 0.01 %]\n", + "Velocity : 0.0013023 [ 0.04 %]\n", + "Force : 0.585317 [ 16.18 %]\n", + "Coefs : 2.23414 [ 61.76 %]\n", + "Output : 0.000752771 [ 0.02 %]\n", + "Levels : 0.000273087 [ 0.01 %]\n", + "Report : 1.112e-06 [ 0.00 %]\n", + "Balance : 4.38e-07 [ 0.00 %]\n", + "Adjust : 0.795157 [ 21.98 %]\n", + "Total : 3.61722 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5798 633 384 149 178 \n", - "1 : 5799 672 371 150 150 \n", - "2 : 5754 695 379 149 165 \n", - "3 : 5822 648 340 154 178 \n", - "4 : 5744 661 407 152 178 \n", - "5 : 5824 611 391 147 169 \n", - "6 : 5817 635 367 154 169 \n", - "7 : 5789 650 380 151 172 \n", - "8 : 5809 637 385 142 169 \n", - "9 : 5786 675 387 130 164 \n", - "10 : 5766 677 375 151 173 \n", - "11 : 5759 669 388 143 183 \n", - "12 : 5792 621 407 161 161 \n", - "13 : 5777 687 398 144 148 \n", + "0 : 5819 705 370 129 119 \n", + "1 : 5845 696 365 139 97 \n", + "2 : 5800 710 354 127 151 \n", + "3 : 5819 702 365 128 128 \n", + "4 : 5818 685 392 140 107 \n", + "5 : 5874 694 328 132 114 \n", + "6 : 5871 670 360 112 129 \n", + "7 : 5834 712 364 115 117 \n", + "8 : 5849 666 367 132 128 \n", + "9 : 5833 679 381 145 104 \n", + "10 : 5841 694 368 110 129 \n", + "11 : 5765 767 366 117 127 \n", + "12 : 5866 677 360 125 114 \n", + "13 : 5865 677 381 129 102 \n", "\n", - "T : 81036 9171 5359 2077 2357 [100000]\n", + "T : 81699 9734 5121 1780 1666 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", + "--- Coef/DT = 1.4%\n", "--- Adj/Tot = 1.8%\n", - "--- Update = 9.9161e-03 sec\n", - "--- Collate = 6.2786e-05 sec\n", + "--- Update = 5.3484e-02 sec\n", + "--- Collate = 9.0514e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.431927e-07 < 6.250000e-03 [1423]\n", - "--- Max DT=2.209111e+00 > 1.000000e-01 [69717]\n", + "--- Min DT=2.310419e-06 < 6.250000e-03 [990]\n", + "--- Max DT=2.529980e+00 > 1.000000e-01 [68174]\n", "----------------------------------------------------------------------\n", - " Component | low: 1423/100000\n", - " Component | high: 69717/100000\n", + " Component | low: 990/100000\n", + " Component | high: 68174/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=83.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00135544 [ 0.87 %]\n", - "Velocity : 0.00438665 [ 2.83 %]\n", - "Force : 0.0586343 [ 37.77 %]\n", - "Coefs : 0.0223249 [ 14.38 %]\n", - "Output : 0.00160097 [ 1.03 %]\n", - "Levels : 0.000227212 [ 0.15 %]\n", - "Report : 9.2e-07 [ 0.00 %]\n", - "Balance : 3.6e-07 [ 0.00 %]\n", - "Adjust : 0.0666642 [ 42.94 %]\n", - "Total : 0.155246 [100.00 %]\n", + "Drift : 0.00055305 [ 0.01 %]\n", + "Velocity : 0.0024914 [ 0.06 %]\n", + "Force : 0.734973 [ 16.23 %]\n", + "Coefs : 2.90655 [ 64.17 %]\n", + "Output : 0.00110782 [ 0.02 %]\n", + "Levels : 0.000298284 [ 0.01 %]\n", + "Report : 5.94e-07 [ 0.00 %]\n", + "Balance : 3.49e-07 [ 0.00 %]\n", + "Adjust : 0.883457 [ 19.50 %]\n", + "Total : 4.52949 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5799 633 378 156 176 \n", - "1 : 5794 675 367 152 154 \n", - "2 : 5752 700 379 148 163 \n", - "3 : 5824 641 343 150 184 \n", - "4 : 5743 666 404 158 171 \n", - "5 : 5823 611 406 140 162 \n", - "6 : 5819 635 366 148 174 \n", - "7 : 5792 643 386 153 168 \n", - "8 : 5814 631 377 157 163 \n", - "9 : 5786 677 374 138 167 \n", - "10 : 5762 692 367 145 176 \n", - "11 : 5763 672 375 143 189 \n", - "12 : 5794 623 398 169 158 \n", - "13 : 5779 677 408 132 158 \n", + "0 : 5817 703 374 123 125 \n", + "1 : 5838 693 379 139 93 \n", + "2 : 5798 708 363 128 145 \n", + "3 : 5820 690 378 132 122 \n", + "4 : 5813 692 392 130 115 \n", + "5 : 5870 700 330 130 112 \n", + "6 : 5869 673 353 119 128 \n", + "7 : 5830 723 362 113 114 \n", + "8 : 5849 665 368 131 129 \n", + "9 : 5833 682 378 140 109 \n", + "10 : 5835 701 366 112 128 \n", + "11 : 5765 763 373 118 123 \n", + "12 : 5862 683 360 113 124 \n", + "13 : 5862 676 390 124 102 \n", "\n", - "T : 81044 9176 5328 2089 2363 [100000]\n", + "T : 81661 9752 5166 1752 1669 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 9.7571e-03 sec\n", - "--- Collate = 6.0811e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 5.1480e-02 sec\n", + "--- Collate = 5.9208e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.308705e-06 < 6.250000e-03 [1430]\n", - "--- Max DT=2.215835e+00 > 1.000000e-01 [69706]\n", + "--- Min DT=5.836131e-07 < 6.250000e-03 [979]\n", + "--- Max DT=2.536870e+00 > 1.000000e-01 [68175]\n", "----------------------------------------------------------------------\n", - " Component | low: 1430/100000\n", - " Component | high: 69706/100000\n", + " Component | low: 979/100000\n", + " Component | high: 68175/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=83.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00137851 [ 0.88 %]\n", - "Velocity : 0.00439112 [ 2.81 %]\n", - "Force : 0.0591401 [ 37.85 %]\n", - "Coefs : 0.0223175 [ 14.29 %]\n", - "Output : 0.0016489 [ 1.06 %]\n", - "Levels : 0.000279891 [ 0.18 %]\n", - "Report : 8.38e-07 [ 0.00 %]\n", - "Balance : 2.96e-07 [ 0.00 %]\n", - "Adjust : 0.067013 [ 42.89 %]\n", - "Total : 0.156228 [100.00 %]\n", + "Drift : 0.000548479 [ 0.01 %]\n", + "Velocity : 0.0023247 [ 0.06 %]\n", + "Force : 0.623893 [ 16.16 %]\n", + "Coefs : 2.44947 [ 63.45 %]\n", + "Output : 0.00144008 [ 0.04 %]\n", + "Levels : 0.000403463 [ 0.01 %]\n", + "Report : 9.27e-07 [ 0.00 %]\n", + "Balance : 4.14e-07 [ 0.00 %]\n", + "Adjust : 0.782473 [ 20.27 %]\n", + "Total : 3.86061 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5800 640 378 154 170 \n", - "1 : 5787 677 371 153 154 \n", - "2 : 5747 705 386 144 160 \n", - "3 : 5819 636 347 162 178 \n", - "4 : 5738 664 409 161 170 \n", - "5 : 5825 611 404 133 169 \n", - "6 : 5823 622 370 151 176 \n", - "7 : 5791 647 372 160 172 \n", - "8 : 5810 636 373 164 159 \n", - "9 : 5787 675 376 142 162 \n", - "10 : 5763 680 371 149 179 \n", - "11 : 5761 668 387 143 183 \n", - "12 : 5786 632 397 168 159 \n", - "13 : 5774 672 420 125 163 \n", + "0 : 5812 704 379 122 125 \n", + "1 : 5841 692 385 130 94 \n", + "2 : 5800 706 370 127 139 \n", + "3 : 5821 685 378 134 124 \n", + "4 : 5812 688 396 125 121 \n", + "5 : 5870 699 328 124 121 \n", + "6 : 5873 671 347 122 129 \n", + "7 : 5829 722 369 112 110 \n", + "8 : 5848 669 369 126 130 \n", + "9 : 5834 681 379 138 110 \n", + "10 : 5835 699 370 103 135 \n", + "11 : 5762 766 374 118 122 \n", + "12 : 5862 677 363 114 126 \n", + "13 : 5864 687 375 122 106 \n", "\n", - "T : 81011 9165 5361 2109 2354 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81663 9746 5182 1717 1692 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", + "--- Coef/DT = 31.0%\n", "--- Adj/Tot = 1.8%\n", - "--- Update = 1.0193e-02 sec\n", - "--- Collate = 6.3406e-05 sec\n", + "--- Update = 5.8689e-02 sec\n", + "--- Collate = 8.9414e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.373517e-07 < 6.250000e-03 [1449]\n", - "--- Max DT=2.222562e+00 > 1.000000e-01 [69692]\n", + "--- Min DT=1.890973e-06 < 6.250000e-03 [1003]\n", + "--- Max DT=2.543763e+00 > 1.000000e-01 [68163]\n", "----------------------------------------------------------------------\n", - " Component | low: 1449/100000\n", - " Component | high: 69692/100000\n", + " Component | low: 1003/100000\n", + " Component | high: 68163/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=83.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00137523 [ 0.88 %]\n", - "Velocity : 0.00435001 [ 2.79 %]\n", - "Force : 0.0586907 [ 37.65 %]\n", - "Coefs : 0.0222971 [ 14.30 %]\n", - "Output : 0.00162358 [ 1.04 %]\n", - "Levels : 0.000226654 [ 0.15 %]\n", - "Report : 9.33e-07 [ 0.00 %]\n", - "Balance : 2.86e-07 [ 0.00 %]\n", - "Adjust : 0.0672808 [ 43.16 %]\n", - "Total : 0.155898 [100.00 %]\n", + "Drift : 0.000519876 [ 0.02 %]\n", + "Velocity : 0.00229398 [ 0.07 %]\n", + "Force : 0.559008 [ 16.83 %]\n", + "Coefs : 2.07345 [ 62.43 %]\n", + "Output : 0.00113567 [ 0.03 %]\n", + "Levels : 0.00023128 [ 0.01 %]\n", + "Report : 1.034e-06 [ 0.00 %]\n", + "Balance : 5.32e-07 [ 0.00 %]\n", + "Adjust : 0.684405 [ 20.61 %]\n", + "Total : 3.3211 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5795 644 377 164 162 \n", - "1 : 5784 674 375 152 157 \n", - "2 : 5753 690 402 145 152 \n", - "3 : 5827 632 344 163 176 \n", - "4 : 5732 667 414 159 170 \n", - "5 : 5832 609 400 136 165 \n", - "6 : 5825 618 375 153 171 \n", - "7 : 5787 647 382 157 169 \n", - "8 : 5806 635 378 171 152 \n", - "9 : 5787 676 373 138 168 \n", - "10 : 5765 680 375 151 171 \n", - "11 : 5762 674 374 158 174 \n", - "12 : 5788 640 389 160 165 \n", - "13 : 5774 678 410 138 154 \n", + "0 : 5815 704 373 135 115 \n", + "1 : 5839 691 380 137 95 \n", + "2 : 5799 700 380 136 127 \n", + "3 : 5819 691 376 131 125 \n", + "4 : 5813 690 393 129 117 \n", + "5 : 5874 690 329 128 121 \n", + "6 : 5874 671 348 120 129 \n", + "7 : 5832 716 378 107 109 \n", + "8 : 5843 678 372 117 132 \n", + "9 : 5826 689 380 132 115 \n", + "10 : 5836 707 359 107 133 \n", + "11 : 5762 771 374 118 117 \n", + "12 : 5862 677 359 120 124 \n", + "13 : 5865 683 371 133 102 \n", "\n", - "T : 81017 9164 5368 2145 2306 [100000]\n", + "T : 81659 9758 5172 1750 1661 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", + "--- Coef/DT = 1.4%\n", "--- Adj/Tot = 1.8%\n", - "--- Update = 9.8661e-03 sec\n", - "--- Collate = 6.6777e-05 sec\n", + "--- Update = 7.7546e-02 sec\n", + "--- Collate = 8.0331e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.819695e-06 < 6.250000e-03 [1427]\n", - "--- Max DT=2.229291e+00 > 1.000000e-01 [69689]\n", + "--- Min DT=4.847603e-06 < 6.250000e-03 [983]\n", + "--- Max DT=2.550658e+00 > 1.000000e-01 [68161]\n", "----------------------------------------------------------------------\n", - " Component | low: 1427/100000\n", - " Component | high: 69689/100000\n", + " Component | low: 983/100000\n", + " Component | high: 68161/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=83.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00138465 [ 0.90 %]\n", - "Velocity : 0.0043819 [ 2.83 %]\n", - "Force : 0.0581221 [ 37.59 %]\n", - "Coefs : 0.0222476 [ 14.39 %]\n", - "Output : 0.00157647 [ 1.02 %]\n", - "Levels : 0.000224518 [ 0.15 %]\n", - "Report : 8.07e-07 [ 0.00 %]\n", - "Balance : 3.13e-07 [ 0.00 %]\n", - "Adjust : 0.066632 [ 43.09 %]\n", - "Total : 0.154625 [100.00 %]\n", + "Drift : 0.00043511 [ 0.01 %]\n", + "Velocity : 0.001798 [ 0.04 %]\n", + "Force : 0.652221 [ 15.79 %]\n", + "Coefs : 2.55587 [ 61.89 %]\n", + "Output : 0.000892892 [ 0.02 %]\n", + "Levels : 0.000257434 [ 0.01 %]\n", + "Report : 6.88e-07 [ 0.00 %]\n", + "Balance : 2.12e-07 [ 0.00 %]\n", + "Adjust : 0.918099 [ 22.23 %]\n", + "Total : 4.12962 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5799 641 375 161 166 \n", - "1 : 5781 674 376 157 154 \n", - "2 : 5758 679 404 142 159 \n", - "3 : 5829 627 342 159 185 \n", - "4 : 5736 663 417 150 176 \n", - "5 : 5834 609 399 137 163 \n", - "6 : 5829 605 380 160 168 \n", - "7 : 5794 640 380 153 175 \n", - "8 : 5812 631 375 166 158 \n", - "9 : 5791 674 368 149 160 \n", - "10 : 5765 674 379 159 165 \n", - "11 : 5758 677 369 156 182 \n", - "12 : 5793 639 383 160 167 \n", - "13 : 5774 676 402 137 165 \n", + "0 : 5806 715 378 119 124 \n", + "1 : 5834 697 384 138 89 \n", + "2 : 5798 701 377 140 126 \n", + "3 : 5819 690 382 125 126 \n", + "4 : 5814 689 402 118 119 \n", + "5 : 5877 694 332 123 116 \n", + "6 : 5875 672 345 124 126 \n", + "7 : 5838 708 382 106 108 \n", + "8 : 5839 680 375 120 128 \n", + "9 : 5826 695 379 122 120 \n", + "10 : 5843 698 357 111 133 \n", + "11 : 5754 777 377 123 111 \n", + "12 : 5860 688 356 110 128 \n", + "13 : 5865 683 369 137 100 \n", "\n", - "T : 81053 9109 5349 2146 2343 [100000]\n", + "T : 81648 9787 5195 1716 1654 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 1.8%\n", - "--- Update = 9.0244e-03 sec\n", - "--- Collate = 5.2577e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 2.1%\n", + "--- Update = 5.7092e-02 sec\n", + "--- Collate = 3.0641e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.643071e-07 < 6.250000e-03 [1432]\n", - "--- Max DT=2.236023e+00 > 1.000000e-01 [69717]\n", + "--- Min DT=7.013465e-06 < 6.250000e-03 [964]\n", + "--- Max DT=2.557555e+00 > 1.000000e-01 [68141]\n", "----------------------------------------------------------------------\n", - " Component | low: 1432/100000\n", - " Component | high: 69717/100000\n", + " Component | low: 964/100000\n", + " Component | high: 68141/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=84] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0013615 [ 0.86 %]\n", - "Velocity : 0.00427456 [ 2.71 %]\n", - "Force : 0.0577396 [ 36.57 %]\n", - "Coefs : 0.021996 [ 13.93 %]\n", - "Output : 0.00617921 [ 3.91 %]\n", - "Levels : 0.000221859 [ 0.14 %]\n", - "Report : 1.219e-06 [ 0.00 %]\n", - "Balance : 6.45e-07 [ 0.00 %]\n", - "Adjust : 0.0660801 [ 41.85 %]\n", - "Total : 0.157906 [100.00 %]\n", + "Drift : 0.000704901 [ 0.02 %]\n", + "Velocity : 0.00266631 [ 0.07 %]\n", + "Force : 0.589762 [ 15.73 %]\n", + "Coefs : 2.38528 [ 63.63 %]\n", + "Output : 0.0121758 [ 0.32 %]\n", + "Levels : 0.000249133 [ 0.01 %]\n", + "Report : 1.391e-06 [ 0.00 %]\n", + "Balance : 4.03e-07 [ 0.00 %]\n", + "Adjust : 0.757998 [ 20.22 %]\n", + "Total : 3.74889 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5803 633 380 159 167 \n", - "1 : 5785 673 380 151 153 \n", - "2 : 5767 667 404 143 161 \n", - "3 : 5834 616 348 166 178 \n", - "4 : 5739 663 405 156 179 \n", - "5 : 5832 611 399 141 159 \n", - "6 : 5833 603 375 160 171 \n", - "7 : 5798 629 386 157 172 \n", - "8 : 5812 633 374 159 164 \n", - "9 : 5793 672 362 153 162 \n", - "10 : 5761 689 369 159 164 \n", - "11 : 5751 684 369 154 184 \n", - "12 : 5794 634 390 159 165 \n", - "13 : 5772 668 406 149 159 \n", + "0 : 5812 711 374 115 130 \n", + "1 : 5832 705 386 124 95 \n", + "2 : 5800 701 377 137 127 \n", + "3 : 5818 699 375 128 122 \n", + "4 : 5812 697 402 108 123 \n", + "5 : 5880 691 341 117 113 \n", + "6 : 5881 664 348 124 125 \n", + "7 : 5833 714 385 96 114 \n", + "8 : 5841 678 376 118 129 \n", + "9 : 5824 703 373 118 124 \n", + "10 : 5848 693 359 114 128 \n", + "11 : 5757 781 370 115 119 \n", + "12 : 5856 686 355 117 128 \n", + "13 : 5862 689 363 129 111 \n", "\n", - "T : 81074 9075 5347 2166 2338 [100000]\n", + "T : 81656 9812 5184 1660 1688 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", + "--- Coef/DT = 1.1%\n", "--- Adj/Tot = 2.0%\n", - "--- Update = 9.6902e-03 sec\n", - "--- Collate = 7.2999e-05 sec\n", + "--- Update = 8.6261e-02 sec\n", + "--- Collate = 7.0208e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.571372e-06 < 6.250000e-03 [1447]\n", - "--- Max DT=2.242757e+00 > 1.000000e-01 [69725]\n", + "--- Min DT=1.388308e-06 < 6.250000e-03 [978]\n", + "--- Max DT=2.564455e+00 > 1.000000e-01 [68123]\n", "----------------------------------------------------------------------\n", - " Component | low: 1447/100000\n", - " Component | high: 69725/100000\n", + " Component | low: 978/100000\n", + " Component | high: 68123/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=84.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00134348 [ 0.88 %]\n", - "Velocity : 0.00438672 [ 2.87 %]\n", - "Force : 0.0568546 [ 37.20 %]\n", - "Coefs : 0.0215148 [ 14.08 %]\n", - "Output : 0.00163733 [ 1.07 %]\n", - "Levels : 0.000262157 [ 0.17 %]\n", - "Report : 9.08e-07 [ 0.00 %]\n", - "Balance : 2.27e-07 [ 0.00 %]\n", - "Adjust : 0.0667697 [ 43.69 %]\n", - "Total : 0.15282 [100.00 %]\n", + "Drift : 0.000731961 [ 0.02 %]\n", + "Velocity : 0.00272074 [ 0.07 %]\n", + "Force : 0.600974 [ 15.46 %]\n", + "Coefs : 2.5144 [ 64.67 %]\n", + "Output : 0.00107074 [ 0.03 %]\n", + "Levels : 0.000278353 [ 0.01 %]\n", + "Report : 6.3e-07 [ 0.00 %]\n", + "Balance : 2.23e-07 [ 0.00 %]\n", + "Adjust : 0.768039 [ 19.75 %]\n", + "Total : 3.88827 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5803 636 369 164 170 \n", - "1 : 5783 674 377 152 156 \n", - "2 : 5768 667 401 149 157 \n", - "3 : 5835 616 349 166 176 \n", - "4 : 5742 670 389 166 175 \n", - "5 : 5831 614 392 142 163 \n", - "6 : 5835 606 372 154 175 \n", - "7 : 5803 624 390 143 182 \n", - "8 : 5814 630 374 156 168 \n", - "9 : 5794 677 356 155 160 \n", - "10 : 5765 682 383 147 165 \n", - "11 : 5751 684 373 153 181 \n", - "12 : 5801 622 396 152 171 \n", - "13 : 5772 668 396 155 163 \n", + "0 : 5810 707 375 118 132 \n", + "1 : 5831 698 392 126 95 \n", + "2 : 5799 702 376 138 127 \n", + "3 : 5823 693 369 130 127 \n", + "4 : 5810 691 410 109 122 \n", + "5 : 5881 684 354 108 115 \n", + "6 : 5883 661 351 133 114 \n", + "7 : 5831 714 378 109 110 \n", + "8 : 5842 687 364 125 124 \n", + "9 : 5823 703 373 121 122 \n", + "10 : 5853 693 356 112 128 \n", + "11 : 5755 780 370 117 120 \n", + "12 : 5854 689 348 119 132 \n", + "13 : 5862 687 368 123 114 \n", "\n", - "T : 81097 9070 5317 2154 2362 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81657 9789 5184 1688 1682 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.6%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 9.1265e-03 sec\n", - "--- Collate = 5.9812e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 7.9548e-02 sec\n", + "--- Collate = 3.5089e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.990306e-06 < 6.250000e-03 [1449]\n", - "--- Max DT=2.249494e+00 > 1.000000e-01 [69715]\n", + "--- Min DT=3.301037e-06 < 6.250000e-03 [1004]\n", + "--- Max DT=2.571357e+00 > 1.000000e-01 [68110]\n", "----------------------------------------------------------------------\n", - " Component | low: 1449/100000\n", - " Component | high: 69715/100000\n", + " Component | low: 1004/100000\n", + " Component | high: 68110/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=84.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00135239 [ 0.91 %]\n", - "Velocity : 0.00427323 [ 2.87 %]\n", - "Force : 0.0562636 [ 37.84 %]\n", - "Coefs : 0.0212266 [ 14.28 %]\n", - "Output : 0.00146607 [ 0.99 %]\n", - "Levels : 0.00021036 [ 0.14 %]\n", - "Report : 5.08e-07 [ 0.00 %]\n", - "Balance : 2.99e-07 [ 0.00 %]\n", - "Adjust : 0.0638442 [ 42.94 %]\n", - "Total : 0.148688 [100.00 %]\n", + "Drift : 0.00471845 [ 0.13 %]\n", + "Velocity : 0.0023799 [ 0.06 %]\n", + "Force : 0.659928 [ 17.49 %]\n", + "Coefs : 2.32877 [ 61.70 %]\n", + "Output : 0.000894111 [ 0.02 %]\n", + "Levels : 0.000212906 [ 0.01 %]\n", + "Report : 9.59e-07 [ 0.00 %]\n", + "Balance : 2.36e-07 [ 0.00 %]\n", + "Adjust : 0.77708 [ 20.59 %]\n", + "Total : 3.77404 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5803 633 373 160 173 \n", - "1 : 5788 674 371 155 154 \n", - "2 : 5770 664 393 159 156 \n", - "3 : 5830 624 339 174 175 \n", - "4 : 5740 670 387 169 176 \n", - "5 : 5830 615 387 147 163 \n", - "6 : 5832 617 358 169 166 \n", - "7 : 5809 612 398 141 182 \n", - "8 : 5811 638 365 152 176 \n", - "9 : 5788 684 351 152 167 \n", - "10 : 5767 683 377 159 156 \n", - "11 : 5751 678 378 153 182 \n", - "12 : 5802 623 391 152 174 \n", - "13 : 5776 668 387 162 161 \n", + "0 : 5812 711 373 116 130 \n", + "1 : 5839 685 398 126 94 \n", + "2 : 5797 705 380 133 127 \n", + "3 : 5825 689 380 123 125 \n", + "4 : 5808 693 411 114 116 \n", + "5 : 5879 680 356 110 117 \n", + "6 : 5880 665 349 136 112 \n", + "7 : 5836 701 392 107 106 \n", + "8 : 5841 689 365 119 128 \n", + "9 : 5825 701 376 111 129 \n", + "10 : 5849 697 346 122 128 \n", + "11 : 5758 781 361 124 118 \n", + "12 : 5858 683 349 129 123 \n", + "13 : 5863 686 370 125 110 \n", "\n", - "T : 81097 9083 5255 2204 2361 [100000]\n", + "T : 81670 9766 5206 1695 1663 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", + "--- Coef/DT = 1.7%\n", "--- Adj/Tot = 1.9%\n", - "--- Update = 9.1688e-03 sec\n", - "--- Collate = 6.3506e-05 sec\n", + "--- Update = 4.8568e-02 sec\n", + "--- Collate = 8.0211e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.424386e-06 < 6.250000e-03 [1453]\n", - "--- Max DT=2.256233e+00 > 1.000000e-01 [69712]\n", + "--- Min DT=8.994532e-06 < 6.250000e-03 [977]\n", + "--- Max DT=2.578261e+00 > 1.000000e-01 [68118]\n", "----------------------------------------------------------------------\n", - " Component | low: 1453/100000\n", - " Component | high: 69712/100000\n", + " Component | low: 977/100000\n", + " Component | high: 68118/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=84.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00129118 [ 0.86 %]\n", - "Velocity : 0.00431904 [ 2.86 %]\n", - "Force : 0.0570948 [ 37.85 %]\n", - "Coefs : 0.0208202 [ 13.80 %]\n", - "Output : 0.00163538 [ 1.08 %]\n", - "Levels : 0.000213784 [ 0.14 %]\n", - "Report : 5.76e-07 [ 0.00 %]\n", - "Balance : 2.65e-07 [ 0.00 %]\n", - "Adjust : 0.0653854 [ 43.35 %]\n", - "Total : 0.150834 [100.00 %]\n", + "Drift : 0.000470807 [ 0.01 %]\n", + "Velocity : 0.00219694 [ 0.06 %]\n", + "Force : 0.689919 [ 17.83 %]\n", + "Coefs : 2.36557 [ 61.15 %]\n", + "Output : 0.00109765 [ 0.03 %]\n", + "Levels : 0.000261139 [ 0.01 %]\n", + "Report : 8.93e-07 [ 0.00 %]\n", + "Balance : 3.21e-07 [ 0.00 %]\n", + "Adjust : 0.809214 [ 20.92 %]\n", + "Total : 3.86879 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5801 628 380 160 173 \n", - "1 : 5788 676 365 163 150 \n", - "2 : 5768 664 395 157 158 \n", - "3 : 5838 616 343 169 176 \n", - "4 : 5755 656 387 171 173 \n", - "5 : 5835 613 386 148 160 \n", - "6 : 5832 616 356 165 173 \n", - "7 : 5808 615 395 141 183 \n", - "8 : 5821 629 362 157 173 \n", - "9 : 5790 683 352 149 168 \n", - "10 : 5777 665 388 148 164 \n", - "11 : 5752 669 392 148 181 \n", - "12 : 5809 618 392 152 171 \n", - "13 : 5781 661 393 151 168 \n", + "0 : 5818 704 370 123 127 \n", + "1 : 5839 687 394 128 94 \n", + "2 : 5799 708 375 131 129 \n", + "3 : 5826 692 374 134 116 \n", + "4 : 5807 698 407 115 115 \n", + "5 : 5880 684 354 105 119 \n", + "6 : 5882 655 351 133 121 \n", + "7 : 5834 698 394 107 109 \n", + "8 : 5839 692 366 120 125 \n", + "9 : 5829 698 371 115 129 \n", + "10 : 5853 695 351 122 121 \n", + "11 : 5763 772 372 112 123 \n", + "12 : 5858 684 341 133 126 \n", + "13 : 5860 685 377 120 112 \n", "\n", - "T : 81155 9009 5286 2179 2371 [100000]\n", + "T : 81687 9752 5197 1698 1666 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.6%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 9.9619e-03 sec\n", - "--- Collate = 6.6784e-05 sec\n", + "--- Coef/DT = 19.8%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 8.2375e-02 sec\n", + "--- Collate = 1.4033e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.838926e-06 < 6.250000e-03 [1443]\n", - "--- Max DT=2.262975e+00 > 1.000000e-01 [69707]\n", + "--- Min DT=5.719675e-08 < 6.250000e-03 [955]\n", + "--- Max DT=2.585167e+00 > 1.000000e-01 [68116]\n", "----------------------------------------------------------------------\n", - " Component | low: 1443/100000\n", - " Component | high: 69707/100000\n", + " Component | low: 955/100000\n", + " Component | high: 68116/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=84.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00134601 [ 0.89 %]\n", - "Velocity : 0.00432944 [ 2.88 %]\n", - "Force : 0.0561367 [ 37.31 %]\n", - "Coefs : 0.0206793 [ 13.74 %]\n", - "Output : 0.00155051 [ 1.03 %]\n", - "Levels : 0.000212372 [ 0.14 %]\n", - "Report : 8.03e-07 [ 0.00 %]\n", - "Balance : 2.65e-07 [ 0.00 %]\n", - "Adjust : 0.0661526 [ 43.97 %]\n", - "Total : 0.150459 [100.00 %]\n", + "Drift : 0.00049682 [ 0.01 %]\n", + "Velocity : 0.00226906 [ 0.06 %]\n", + "Force : 0.699715 [ 17.62 %]\n", + "Coefs : 2.46436 [ 62.07 %]\n", + "Output : 0.00146365 [ 0.04 %]\n", + "Levels : 0.000255256 [ 0.01 %]\n", + "Report : 4.52e-07 [ 0.00 %]\n", + "Balance : 2.86e-07 [ 0.00 %]\n", + "Adjust : 0.801616 [ 20.19 %]\n", + "Total : 3.97023 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5797 634 386 152 173 \n", - "1 : 5790 683 358 153 158 \n", - "2 : 5774 655 397 165 151 \n", - "3 : 5831 626 338 168 179 \n", - "4 : 5765 646 387 171 173 \n", - "5 : 5834 617 382 147 162 \n", - "6 : 5824 622 361 163 172 \n", - "7 : 5806 609 394 151 182 \n", - "8 : 5823 620 363 162 174 \n", - "9 : 5790 682 353 140 177 \n", - "10 : 5780 664 385 144 169 \n", - "11 : 5751 670 387 152 182 \n", - "12 : 5811 616 389 156 170 \n", - "13 : 5785 667 383 146 173 \n", + "0 : 5814 707 376 113 132 \n", + "1 : 5830 698 390 125 99 \n", + "2 : 5800 703 380 127 132 \n", + "3 : 5826 687 377 145 107 \n", + "4 : 5808 704 397 121 112 \n", + "5 : 5884 674 359 103 122 \n", + "6 : 5881 663 346 128 124 \n", + "7 : 5830 698 391 115 108 \n", + "8 : 5839 695 360 122 126 \n", + "9 : 5828 696 370 115 133 \n", + "10 : 5853 698 346 121 124 \n", + "11 : 5764 768 367 116 127 \n", + "12 : 5855 680 354 122 131 \n", + "13 : 5861 680 378 128 107 \n", "\n", - "T : 81161 9011 5263 2170 2395 [100000]\n", + "T : 81673 9751 5191 1701 1684 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.4%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 9.6591e-03 sec\n", - "--- Collate = 5.7517e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 6.0935e-02 sec\n", + "--- Collate = 6.0279e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.355536e-06 < 6.250000e-03 [1489]\n", - "--- Max DT=2.269720e+00 > 1.000000e-01 [69707]\n", + "--- Min DT=1.527178e-06 < 6.250000e-03 [979]\n", + "--- Max DT=2.592076e+00 > 1.000000e-01 [68083]\n", "----------------------------------------------------------------------\n", - " Component | low: 1489/100000\n", - " Component | high: 69707/100000\n", + " Component | low: 979/100000\n", + " Component | high: 68083/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=84.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0013039 [ 0.85 %]\n", - "Velocity : 0.00430881 [ 2.82 %]\n", - "Force : 0.0575446 [ 37.63 %]\n", - "Coefs : 0.0219347 [ 14.35 %]\n", - "Output : 0.00147692 [ 0.97 %]\n", - "Levels : 0.000207543 [ 0.14 %]\n", - "Report : 5.07e-07 [ 0.00 %]\n", - "Balance : 2.96e-07 [ 0.00 %]\n", - "Adjust : 0.0660749 [ 43.21 %]\n", - "Total : 0.152905 [100.00 %]\n", + "Drift : 0.000752575 [ 0.02 %]\n", + "Velocity : 0.00321576 [ 0.08 %]\n", + "Force : 0.758375 [ 18.06 %]\n", + "Coefs : 2.51248 [ 59.85 %]\n", + "Output : 0.00143816 [ 0.03 %]\n", + "Levels : 0.000307501 [ 0.01 %]\n", + "Report : 6.59e-07 [ 0.00 %]\n", + "Balance : 2.74e-07 [ 0.00 %]\n", + "Adjust : 0.921646 [ 21.95 %]\n", + "Total : 4.19827 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5800 630 392 140 180 \n", - "1 : 5797 682 353 151 159 \n", - "2 : 5778 648 389 170 157 \n", - "3 : 5833 617 342 167 183 \n", - "4 : 5765 645 391 168 173 \n", - "5 : 5832 612 387 142 169 \n", - "6 : 5821 627 364 147 183 \n", - "7 : 5805 613 393 152 179 \n", - "8 : 5829 616 364 159 174 \n", - "9 : 5793 679 351 144 175 \n", - "10 : 5786 662 382 138 174 \n", - "11 : 5753 665 399 142 183 \n", - "12 : 5810 616 394 155 167 \n", - "13 : 5784 671 377 147 175 \n", + "0 : 5814 705 387 100 136 \n", + "1 : 5833 694 391 122 102 \n", + "2 : 5797 696 386 122 141 \n", + "3 : 5831 690 372 140 109 \n", + "4 : 5808 711 392 123 108 \n", + "5 : 5878 683 352 100 129 \n", + "6 : 5887 659 346 130 120 \n", + "7 : 5830 696 387 117 112 \n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "8 : 5838 692 358 127 127 \n", + "9 : 5828 695 369 115 135 \n", + "10 : 5857 693 358 114 120 \n", + "11 : 5757 778 363 126 118 \n", + "12 : 5859 669 360 118 136 \n", + "13 : 5866 671 376 135 106 \n", "\n", - "T : 81186 8983 5278 2122 2431 [100000]\n", + "T : 81683 9732 5197 1689 1699 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 9.7059e-03 sec\n", - "--- Collate = 6.0332e-05 sec\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 3.4065e-02 sec\n", + "--- Collate = 6.6136e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.248763e-07 < 6.250000e-03 [1485]\n", - "--- Max DT=2.276467e+00 > 1.000000e-01 [69730]\n", + "--- Min DT=8.959514e-06 < 6.250000e-03 [988]\n", + "--- Max DT=2.598987e+00 > 1.000000e-01 [68088]\n", "----------------------------------------------------------------------\n", - " Component | low: 1485/100000\n", - " Component | high: 69730/100000\n", + " Component | low: 988/100000\n", + " Component | high: 68088/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=84.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00126967 [ 0.82 %]\n", - "Velocity : 0.00424856 [ 2.76 %]\n", - "Force : 0.0585848 [ 37.99 %]\n", - "Coefs : 0.0217736 [ 14.12 %]\n", - "Output : 0.00153458 [ 1.00 %]\n", - "Levels : 0.000251708 [ 0.16 %]\n", - "Report : 8.09e-07 [ 0.00 %]\n", - "Balance : 7.31e-07 [ 0.00 %]\n", - "Adjust : 0.0664869 [ 43.12 %]\n", - "Total : 0.154207 [100.00 %]\n", + "Drift : 0.000890465 [ 0.03 %]\n", + "Velocity : 0.00358045 [ 0.11 %]\n", + "Force : 0.576066 [ 17.52 %]\n", + "Coefs : 2.11587 [ 64.36 %]\n", + "Output : 0.0015714 [ 0.05 %]\n", + "Levels : 0.000316009 [ 0.01 %]\n", + "Report : 4.89e-07 [ 0.00 %]\n", + "Balance : 2.86e-07 [ 0.00 %]\n", + "Adjust : 0.589109 [ 17.92 %]\n", + "Total : 3.28745 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5799 640 388 139 176 \n", - "1 : 5803 671 358 147 163 \n", - "2 : 5785 645 378 170 164 \n", - "3 : 5828 617 356 165 176 \n", - "4 : 5771 642 393 160 176 \n", - "5 : 5832 617 374 151 168 \n", - "6 : 5821 624 376 136 185 \n", - "7 : 5804 621 385 148 184 \n", - "8 : 5826 627 355 157 177 \n", - "9 : 5794 672 350 152 174 \n", - "10 : 5786 659 388 133 176 \n", - "11 : 5752 661 403 147 179 \n", - "12 : 5812 617 393 146 174 \n", - "13 : 5788 681 356 151 178 \n", + "0 : 5817 701 378 107 139 \n", + "1 : 5827 701 385 131 98 \n", + "2 : 5797 696 392 121 136 \n", + "3 : 5837 693 362 137 113 \n", + "4 : 5809 713 392 121 107 \n", + "5 : 5880 676 365 98 123 \n", + "6 : 5883 667 346 132 114 \n", + "7 : 5827 696 395 108 116 \n", + "8 : 5837 688 368 119 130 \n", + "9 : 5829 688 376 117 132 \n", + "10 : 5853 694 355 121 119 \n", + "11 : 5761 772 361 123 125 \n", + "12 : 5860 672 353 128 129 \n", + "13 : 5870 671 379 131 103 \n", "\n", - "T : 81201 8994 5253 2102 2450 [100000]\n", + "T : 81687 9728 5207 1694 1684 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 9.7257e-03 sec\n", - "--- Collate = 5.8012e-05 sec\n", + "--- Coef/DT = 22.1%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 7.6041e-02 sec\n", + "--- Collate = 1.6054e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.492524e-06 < 6.250000e-03 [1466]\n", - "--- Max DT=2.283216e+00 > 1.000000e-01 [69722]\n", + "--- Min DT=7.894115e-06 < 6.250000e-03 [993]\n", + "--- Max DT=2.605900e+00 > 1.000000e-01 [68075]\n", "----------------------------------------------------------------------\n", - " Component | low: 1466/100000\n", - " Component | high: 69722/100000\n", + " Component | low: 993/100000\n", + " Component | high: 68075/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=84.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00126975 [ 0.83 %]\n", - "Velocity : 0.00418756 [ 2.75 %]\n", - "Force : 0.0583665 [ 38.27 %]\n", - "Coefs : 0.0217514 [ 14.26 %]\n", - "Output : 0.00152515 [ 1.00 %]\n", - "Levels : 0.000213203 [ 0.14 %]\n", - "Report : 5.01e-07 [ 0.00 %]\n", - "Balance : 2.83e-07 [ 0.00 %]\n", - "Adjust : 0.0651332 [ 42.71 %]\n", - "Total : 0.152496 [100.00 %]\n", + "Drift : 0.000893774 [ 0.02 %]\n", + "Velocity : 0.00352713 [ 0.09 %]\n", + "Force : 0.623035 [ 15.96 %]\n", + "Coefs : 2.42725 [ 62.19 %]\n", + "Output : 0.00148145 [ 0.04 %]\n", + "Levels : 0.000291985 [ 0.01 %]\n", + "Report : 7.29e-07 [ 0.00 %]\n", + "Balance : 3.3e-07 [ 0.00 %]\n", + "Adjust : 0.846635 [ 21.69 %]\n", + "Total : 3.90317 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5803 641 378 145 175 \n", - "1 : 5803 672 355 145 167 \n", - "2 : 5786 639 384 173 160 \n", - "3 : 5834 604 358 170 176 \n", - "4 : 5774 628 398 167 175 \n", - "5 : 5838 613 372 142 177 \n", - "6 : 5821 623 380 136 182 \n", - "7 : 5809 615 386 156 176 \n", - "8 : 5831 623 355 157 176 \n", - "9 : 5799 664 343 168 168 \n", - "10 : 5794 650 383 142 173 \n", - "11 : 5752 662 405 141 182 \n", - "12 : 5813 612 402 143 172 \n", - "13 : 5792 677 364 147 174 \n", + "0 : 5816 711 360 121 134 \n", + "1 : 5832 704 377 133 96 \n", + "2 : 5797 691 402 106 146 \n", + "3 : 5831 699 355 140 117 \n", + "4 : 5811 710 399 109 113 \n", + "5 : 5877 680 366 91 128 \n", + "6 : 5880 666 356 123 117 \n", + "7 : 5828 695 392 114 113 \n", + "8 : 5840 695 365 116 126 \n", + "9 : 5834 692 368 122 126 \n", + "10 : 5847 706 347 118 124 \n", + "11 : 5755 778 372 112 125 \n", + "12 : 5856 668 364 123 131 \n", + "13 : 5869 676 373 129 107 \n", "\n", - "T : 81249 8923 5263 2132 2433 [100000]\n", + "T : 81673 9771 5196 1657 1703 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.4%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 9.3987e-03 sec\n", - "--- Collate = 4.3007e-05 sec\n", + "--- Coef/DT = 30.7%\n", + "--- Adj/Tot = 2.1%\n", + "--- Update = 4.4919e-02 sec\n", + "--- Collate = 5.0272e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.966654e-06 < 6.250000e-03 [1498]\n", - "--- Max DT=2.289969e+00 > 1.000000e-01 [69729]\n", + "--- Min DT=1.300774e-06 < 6.250000e-03 [992]\n", + "--- Max DT=2.612816e+00 > 1.000000e-01 [68084]\n", "----------------------------------------------------------------------\n", - " Component | low: 1498/100000\n", - " Component | high: 69729/100000\n", + " Component | low: 992/100000\n", + " Component | high: 68084/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=84.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00127455 [ 0.83 %]\n", - "Velocity : 0.00418203 [ 2.73 %]\n", - "Force : 0.05847 [ 38.16 %]\n", - "Coefs : 0.0218279 [ 14.24 %]\n", - "Output : 0.00153837 [ 1.00 %]\n", - "Levels : 0.000172447 [ 0.11 %]\n", - "Report : 6e-07 [ 0.00 %]\n", - "Balance : 2.54e-07 [ 0.00 %]\n", - "Adjust : 0.0657151 [ 42.89 %]\n", - "Total : 0.153235 [100.00 %]\n", + "Drift : 0.000740787 [ 0.02 %]\n", + "Velocity : 0.00866709 [ 0.26 %]\n", + "Force : 0.502496 [ 14.87 %]\n", + "Coefs : 2.185 [ 64.66 %]\n", + "Output : 0.00132825 [ 0.04 %]\n", + "Levels : 0.000264705 [ 0.01 %]\n", + "Report : 5.41e-07 [ 0.00 %]\n", + "Balance : 4.29e-07 [ 0.00 %]\n", + "Adjust : 0.680521 [ 20.14 %]\n", + "Total : 3.37907 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5806 647 364 154 171 \n", - "1 : 5801 669 364 145 163 \n", - "2 : 5785 642 388 164 163 \n", - "3 : 5832 600 369 173 168 \n", - "4 : 5772 622 392 183 173 \n", - "5 : 5840 603 381 154 164 \n", - "6 : 5825 622 372 146 177 \n", - "7 : 5803 621 379 165 174 \n", - "8 : 5828 631 351 161 171 \n", - "9 : 5792 671 347 166 166 \n", - "10 : 5790 656 371 158 167 \n", - "11 : 5753 662 412 130 185 \n", - "12 : 5819 605 395 151 172 \n", - "13 : 5796 672 368 138 180 \n", + "0 : 5819 707 355 128 133 \n", + "1 : 5831 699 385 125 102 \n", + "2 : 5798 677 416 111 140 \n", + "3 : 5832 691 366 142 111 \n", + "4 : 5811 703 398 109 121 \n", + "5 : 5880 678 366 90 128 \n", + "6 : 5879 664 364 121 114 \n", + "7 : 5827 696 391 117 111 \n", + "8 : 5838 687 375 116 126 \n", + "9 : 5830 695 371 106 140 \n", + "10 : 5849 710 341 123 119 \n", + "11 : 5751 788 367 99 137 \n", + "12 : 5858 676 357 122 129 \n", + "13 : 5861 691 366 137 99 \n", "\n", - "T : 81242 8923 5253 2188 2394 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81664 9762 5218 1646 1710 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.0537e-02 sec\n", - "--- Collate = 7.0487e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 2.2%\n", + "--- Update = 6.9546e-02 sec\n", + "--- Collate = 7.0224e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.047067e-06 < 6.250000e-03 [1490]\n", - "--- Max DT=2.296723e+00 > 1.000000e-01 [69728]\n", + "--- Min DT=1.351616e-06 < 6.250000e-03 [1034]\n", + "--- Max DT=2.619734e+00 > 1.000000e-01 [68073]\n", "----------------------------------------------------------------------\n", - " Component | low: 1490/100000\n", - " Component | high: 69728/100000\n", + " Component | low: 1034/100000\n", + " Component | high: 68073/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=84.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00131037 [ 0.83 %]\n", - "Velocity : 0.00427439 [ 2.70 %]\n", - "Force : 0.0592069 [ 37.34 %]\n", - "Coefs : 0.022151 [ 13.97 %]\n", - "Output : 0.0015027 [ 0.95 %]\n", - "Levels : 0.000210147 [ 0.13 %]\n", - "Report : 7.88e-07 [ 0.00 %]\n", - "Balance : 2.95e-07 [ 0.00 %]\n", - "Adjust : 0.0698344 [ 44.05 %]\n", - "Total : 0.158547 [100.00 %]\n", + "Drift : 0.000815363 [ 0.02 %]\n", + "Velocity : 0.00204548 [ 0.06 %]\n", + "Force : 0.63109 [ 18.73 %]\n", + "Coefs : 2.09504 [ 62.18 %]\n", + "Output : 0.00119345 [ 0.04 %]\n", + "Levels : 0.000281004 [ 0.01 %]\n", + "Report : 2.025e-06 [ 0.00 %]\n", + "Balance : 1.237e-06 [ 0.00 %]\n", + "Adjust : 0.63882 [ 18.96 %]\n", + "Total : 3.36934 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5809 652 362 146 173 \n", - "1 : 5801 668 370 140 163 \n", - "2 : 5787 643 385 162 165 \n", - "3 : 5835 594 372 164 177 \n", - "4 : 5771 619 392 187 173 \n", - "5 : 5845 601 367 161 168 \n", - "6 : 5832 610 382 138 180 \n", - "7 : 5806 620 372 174 170 \n", - "8 : 5818 646 348 165 165 \n", - "9 : 5793 666 343 165 175 \n", - "10 : 5788 653 379 153 169 \n", - "11 : 5755 662 407 135 183 \n", - "12 : 5813 616 394 143 176 \n", - "13 : 5799 662 379 124 190 \n", + "0 : 5812 720 344 135 131 \n", + "1 : 5828 699 385 122 108 \n", + "2 : 5798 678 421 106 139 \n", + "3 : 5830 687 363 149 113 \n", + "4 : 5809 702 400 107 124 \n", + "5 : 5878 679 365 99 121 \n", + "6 : 5879 669 354 126 114 \n", + "7 : 5825 695 388 121 113 \n", + "8 : 5843 678 376 120 125 \n", + "9 : 5829 704 364 103 142 \n", + "10 : 5848 713 350 115 116 \n", + "11 : 5752 779 372 105 134 \n", + "12 : 5858 682 355 113 134 \n", + "13 : 5860 691 372 131 100 \n", "\n", - "T : 81252 8912 5252 2157 2427 [100000]\n", + "T : 81649 9776 5209 1652 1714 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.4%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 1.0279e-02 sec\n", - "--- Collate = 6.5843e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 2.1%\n", + "--- Update = 6.2560e-02 sec\n", + "--- Collate = 3.1244e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.567994e-06 < 6.250000e-03 [1484]\n", - "--- Max DT=2.303481e+00 > 1.000000e-01 [69726]\n", + "--- Min DT=4.341681e-06 < 6.250000e-03 [1028]\n", + "--- Max DT=2.626654e+00 > 1.000000e-01 [68071]\n", "----------------------------------------------------------------------\n", - " Component | low: 1484/100000\n", - " Component | high: 69726/100000\n", + " Component | low: 1028/100000\n", + " Component | high: 68071/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=85] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00142373 [ 0.83 %]\n", - "Velocity : 0.00476906 [ 2.79 %]\n", - "Force : 0.0611536 [ 35.76 %]\n", - "Coefs : 0.022808 [ 13.34 %]\n", - "Output : 0.00611279 [ 3.57 %]\n", - "Levels : 0.000274151 [ 0.16 %]\n", - "Report : 1.054e-06 [ 0.00 %]\n", - "Balance : 8.39e-07 [ 0.00 %]\n", - "Adjust : 0.0744039 [ 43.51 %]\n", - "Total : 0.17101 [100.00 %]\n", + "Drift : 0.000530933 [ 0.01 %]\n", + "Velocity : 0.00189042 [ 0.05 %]\n", + "Force : 0.685521 [ 18.27 %]\n", + "Coefs : 2.29985 [ 61.28 %]\n", + "Output : 0.0130573 [ 0.35 %]\n", + "Levels : 0.000253801 [ 0.01 %]\n", + "Report : 1.146e-06 [ 0.00 %]\n", + "Balance : 4.84e-07 [ 0.00 %]\n", + "Adjust : 0.751586 [ 20.03 %]\n", + "Total : 3.75274 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5811 634 381 134 182 \n", - "1 : 5801 674 371 134 162 \n", - "2 : 5786 638 387 159 172 \n", - "3 : 5832 606 375 153 176 \n", - "4 : 5771 624 380 188 179 \n", - "5 : 5848 602 366 156 170 \n", - "6 : 5830 616 378 144 174 \n", - "7 : 5815 613 369 169 176 \n", - "8 : 5816 646 347 181 152 \n", - "9 : 5798 662 338 166 178 \n", - "10 : 5791 652 377 159 163 \n", - "11 : 5752 673 398 137 182 \n", - "12 : 5820 615 381 151 175 \n", - "13 : 5803 663 379 123 186 \n", + "0 : 5810 721 348 122 141 \n", + "1 : 5831 693 389 121 108 \n", + "2 : 5797 685 401 120 139 \n", + "3 : 5836 679 369 142 116 \n", + "4 : 5805 707 398 115 117 \n", + "5 : 5885 671 362 105 119 \n", + "6 : 5876 674 360 119 113 \n", + "7 : 5825 694 389 120 114 \n", + "8 : 5839 684 377 126 116 \n", + "9 : 5829 699 364 113 137 \n", + "10 : 5844 721 349 113 115 \n", + "11 : 5757 768 376 109 132 \n", + "12 : 5857 678 361 112 134 \n", + "13 : 5856 679 378 136 105 \n", "\n", - "T : 81274 8918 5227 2154 2427 [100000]\n", + "T : 81647 9753 5221 1673 1706 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.0461e-02 sec\n", - "--- Collate = 9.8868e-05 sec\n", + "--- Coef/DT = 14.9%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 4.4424e-02 sec\n", + "--- Collate = 2.0443e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.973273e-08 < 6.250000e-03 [1477]\n", - "--- Max DT=2.310240e+00 > 1.000000e-01 [69712]\n", + "--- Min DT=1.354131e-06 < 6.250000e-03 [996]\n", + "--- Max DT=2.633576e+00 > 1.000000e-01 [68072]\n", "----------------------------------------------------------------------\n", - " Component | low: 1477/100000\n", - " Component | high: 69712/100000\n", + " Component | low: 996/100000\n", + " Component | high: 68072/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=85.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00136098 [ 0.80 %]\n", - "Velocity : 0.00477992 [ 2.81 %]\n", - "Force : 0.0613499 [ 36.10 %]\n", - "Coefs : 0.0289146 [ 17.01 %]\n", - "Output : 0.00162807 [ 0.96 %]\n", - "Levels : 0.000265644 [ 0.16 %]\n", - "Report : 6.07e-07 [ 0.00 %]\n", - "Balance : 3.01e-07 [ 0.00 %]\n", - "Adjust : 0.0716003 [ 42.13 %]\n", - "Total : 0.169964 [100.00 %]\n", + "Drift : 0.00046814 [ 0.02 %]\n", + "Velocity : 0.00219883 [ 0.07 %]\n", + "Force : 0.490496 [ 16.68 %]\n", + "Coefs : 1.79816 [ 61.15 %]\n", + "Output : 0.000975914 [ 0.03 %]\n", + "Levels : 0.000303078 [ 0.01 %]\n", + "Report : 1.24e-06 [ 0.00 %]\n", + "Balance : 3.71e-07 [ 0.00 %]\n", + "Adjust : 0.647835 [ 22.03 %]\n", + "Total : 2.94049 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5813 641 366 149 173 \n", - "1 : 5801 667 375 137 162 \n", - "2 : 5793 635 394 146 174 \n", - "3 : 5831 606 378 159 168 \n", - "4 : 5774 618 383 185 182 \n", - "5 : 5846 601 365 155 175 \n", - "6 : 5832 618 373 142 177 \n", - "7 : 5812 612 368 175 175 \n", - "8 : 5820 646 345 171 160 \n", - "9 : 5799 660 341 169 173 \n", - "10 : 5797 645 386 150 164 \n", - "11 : 5753 671 391 144 183 \n", - "12 : 5816 619 381 155 171 \n", - "13 : 5799 673 373 123 186 \n", + "0 : 5808 722 358 112 142 \n", + "1 : 5827 699 386 120 110 \n", + "2 : 5800 675 406 128 133 \n", + "3 : 5833 682 367 143 117 \n", + "4 : 5807 700 394 126 115 \n", + "5 : 5888 663 367 107 117 \n", + "6 : 5875 672 367 118 110 \n", + "7 : 5824 693 396 113 116 \n", + "8 : 5841 675 377 126 123 \n", + "9 : 5823 709 363 113 134 \n", + "10 : 5842 714 364 107 115 \n", + "11 : 5758 768 374 119 123 \n", + "12 : 5862 668 366 111 135 \n", + "13 : 5856 683 372 131 112 \n", "\n", - "T : 81286 8912 5219 2160 2423 [100000]\n", + "T : 81644 9723 5257 1674 1702 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 1.0215e-02 sec\n", - "--- Collate = 6.3962e-05 sec\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 3.9992e-02 sec\n", + "--- Collate = 7.0274e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.395536e-05 < 6.250000e-03 [1474]\n", - "--- Max DT=2.317003e+00 > 1.000000e-01 [69708]\n", + "--- Min DT=1.630983e-06 < 6.250000e-03 [1007]\n", + "--- Max DT=2.640501e+00 > 1.000000e-01 [68071]\n", "----------------------------------------------------------------------\n", - " Component | low: 1474/100000\n", - " Component | high: 69708/100000\n", + " Component | low: 1007/100000\n", + " Component | high: 68071/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=85.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00139814 [ 0.88 %]\n", - "Velocity : 0.00460869 [ 2.90 %]\n", - "Force : 0.059809 [ 37.63 %]\n", - "Coefs : 0.0225729 [ 14.20 %]\n", - "Output : 0.00159246 [ 1.00 %]\n", - "Levels : 0.000236069 [ 0.15 %]\n", - "Report : 8.81e-07 [ 0.00 %]\n", - "Balance : 2.97e-07 [ 0.00 %]\n", - "Adjust : 0.0686602 [ 43.20 %]\n", - "Total : 0.158936 [100.00 %]\n", + "Drift : 0.000716399 [ 0.02 %]\n", + "Velocity : 0.00644535 [ 0.21 %]\n", + "Force : 0.488162 [ 16.25 %]\n", + "Coefs : 1.87551 [ 62.44 %]\n", + "Output : 0.00147637 [ 0.05 %]\n", + "Levels : 0.000687564 [ 0.02 %]\n", + "Report : 1.379e-06 [ 0.00 %]\n", + "Balance : 3.65e-07 [ 0.00 %]\n", + "Adjust : 0.630815 [ 21.00 %]\n", + "Total : 3.00387 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5810 634 370 154 174 \n", - "1 : 5807 665 370 144 156 \n", - "2 : 5788 641 396 137 180 \n", - "3 : 5825 611 378 167 161 \n", - "4 : 5778 612 386 188 178 \n", - "5 : 5837 606 377 146 176 \n", - "6 : 5830 620 368 144 180 \n", - "7 : 5812 612 372 163 183 \n", - "8 : 5823 635 367 152 165 \n", - "9 : 5799 653 349 160 181 \n", - "10 : 5797 647 387 142 169 \n", - "11 : 5758 670 386 156 172 \n", - "12 : 5820 611 385 145 181 \n", - "13 : 5803 677 360 129 185 \n", + "0 : 5810 720 358 106 148 \n", + "1 : 5832 696 383 124 107 \n", + "2 : 5804 672 398 139 129 \n", + "3 : 5834 675 378 140 115 \n", + "4 : 5809 696 390 131 116 \n", + "5 : 5888 665 361 123 105 \n", + "6 : 5874 673 360 118 117 \n", + "7 : 5819 697 400 111 115 \n", + "8 : 5839 673 383 123 124 \n", + "9 : 5823 711 360 111 137 \n", + "10 : 5836 725 353 109 119 \n", + "11 : 5754 766 380 116 126 \n", + "12 : 5860 667 371 103 141 \n", + "13 : 5857 683 371 127 116 \n", "\n", - "T : 81287 8894 5251 2127 2441 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81639 9719 5246 1681 1715 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 9.8581e-03 sec\n", - "--- Collate = 6.3340e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 4.2514e-02 sec\n", + "--- Collate = 2.1023e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.629403e-06 < 6.250000e-03 [1468]\n", - "--- Max DT=2.323767e+00 > 1.000000e-01 [69713]\n", + "--- Min DT=4.339588e-07 < 6.250000e-03 [989]\n", + "--- Max DT=2.647428e+00 > 1.000000e-01 [68062]\n", "----------------------------------------------------------------------\n", - " Component | low: 1468/100000\n", - " Component | high: 69713/100000\n", + " Component | low: 989/100000\n", + " Component | high: 68062/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=85.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00142133 [ 0.86 %]\n", - "Velocity : 0.00466589 [ 2.83 %]\n", - "Force : 0.0611309 [ 37.10 %]\n", - "Coefs : 0.0237252 [ 14.40 %]\n", - "Output : 0.00160011 [ 0.97 %]\n", - "Levels : 0.000226939 [ 0.14 %]\n", - "Report : 9.72e-07 [ 0.00 %]\n", - "Balance : 3.32e-07 [ 0.00 %]\n", - "Adjust : 0.07196 [ 43.67 %]\n", - "Total : 0.164794 [100.00 %]\n", + "Drift : 0.000543306 [ 0.01 %]\n", + "Velocity : 0.00275113 [ 0.07 %]\n", + "Force : 0.634086 [ 17.18 %]\n", + "Coefs : 2.27161 [ 61.53 %]\n", + "Output : 0.00242744 [ 0.07 %]\n", + "Levels : 0.000263622 [ 0.01 %]\n", + "Report : 1.325e-06 [ 0.00 %]\n", + "Balance : 3.02e-07 [ 0.00 %]\n", + "Adjust : 0.780126 [ 21.13 %]\n", + "Total : 3.69186 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5809 634 366 154 179 \n", - "1 : 5808 656 376 149 153 \n", - "2 : 5794 631 396 147 174 \n", - "3 : 5825 608 386 156 167 \n", - "4 : 5775 620 383 185 179 \n", - "5 : 5838 612 369 144 179 \n", - "6 : 5833 619 366 144 180 \n", - "7 : 5812 615 370 163 182 \n", - "8 : 5824 631 370 152 165 \n", - "9 : 5804 647 341 155 195 \n", - "10 : 5798 650 381 152 161 \n", - "11 : 5752 675 386 158 171 \n", - "12 : 5819 610 392 140 181 \n", - "13 : 5804 681 348 132 189 \n", + "0 : 5811 720 366 111 134 \n", + "1 : 5830 692 395 116 109 \n", + "2 : 5795 683 403 132 129 \n", + "3 : 5835 680 368 136 123 \n", + "4 : 5808 685 401 133 115 \n", + "5 : 5884 666 364 117 111 \n", + "6 : 5873 672 357 126 114 \n", + "7 : 5821 701 386 111 123 \n", + "8 : 5838 673 380 124 127 \n", + "9 : 5822 723 349 116 132 \n", + "10 : 5833 726 354 105 124 \n", + "11 : 5762 754 380 124 122 \n", + "12 : 5862 669 370 110 131 \n", + "13 : 5859 681 364 133 117 \n", "\n", - "T : 81295 8889 5230 2131 2455 [100000]\n", + "T : 81633 9725 5237 1694 1711 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 9.8978e-03 sec\n", - "--- Collate = 6.3223e-05 sec\n", + "--- Coef/DT = 54.4%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 6.2441e-02 sec\n", + "--- Collate = 6.9624e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.310479e-06 < 6.250000e-03 [1505]\n", - "--- Max DT=2.330534e+00 > 1.000000e-01 [69712]\n", + "--- Min DT=1.659470e-06 < 6.250000e-03 [974]\n", + "--- Max DT=2.654357e+00 > 1.000000e-01 [68054]\n", "----------------------------------------------------------------------\n", - " Component | low: 1505/100000\n", - " Component | high: 69712/100000\n", + " Component | low: 974/100000\n", + " Component | high: 68054/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=85.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00141846 [ 0.90 %]\n", - "Velocity : 0.00432403 [ 2.75 %]\n", - "Force : 0.0593396 [ 37.75 %]\n", - "Coefs : 0.0228005 [ 14.51 %]\n", - "Output : 0.00158661 [ 1.01 %]\n", - "Levels : 0.000273265 [ 0.17 %]\n", - "Report : 7.93e-07 [ 0.00 %]\n", - "Balance : 3.11e-07 [ 0.00 %]\n", - "Adjust : 0.0673778 [ 42.87 %]\n", - "Total : 0.157174 [100.00 %]\n", + "Drift : 0.000681151 [ 0.02 %]\n", + "Velocity : 0.0022462 [ 0.07 %]\n", + "Force : 0.537349 [ 15.69 %]\n", + "Coefs : 2.13881 [ 62.44 %]\n", + "Output : 0.00122396 [ 0.04 %]\n", + "Levels : 0.000297049 [ 0.01 %]\n", + "Report : 5.16e-07 [ 0.00 %]\n", + "Balance : 2.45e-07 [ 0.00 %]\n", + "Adjust : 0.744861 [ 21.74 %]\n", + "Total : 3.42552 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5810 627 370 159 176 \n", - "1 : 5806 660 372 149 155 \n", - "2 : 5797 621 400 154 170 \n", - "3 : 5822 608 393 157 162 \n", - "4 : 5766 628 375 190 183 \n", - "5 : 5844 604 383 132 179 \n", - "6 : 5840 615 360 146 181 \n", - "7 : 5813 618 364 170 177 \n", - "8 : 5822 631 377 146 166 \n", - "9 : 5805 641 352 146 198 \n", - "10 : 5805 646 377 142 172 \n", - "11 : 5750 671 387 158 176 \n", - "12 : 5820 613 386 144 179 \n", - "13 : 5801 684 337 146 186 \n", + "0 : 5812 721 369 113 127 \n", + "1 : 5828 692 393 126 103 \n", + "2 : 5795 691 393 139 124 \n", + "3 : 5834 673 386 119 130 \n", + "4 : 5810 689 393 141 109 \n", + "5 : 5881 672 372 109 108 \n", + "6 : 5871 677 358 119 117 \n", + "7 : 5822 706 372 122 120 \n", + "8 : 5839 679 369 120 135 \n", + "9 : 5821 727 347 114 133 \n", + "10 : 5829 732 350 107 124 \n", + "11 : 5760 761 383 126 112 \n", + "12 : 5864 663 371 130 114 \n", + "13 : 5859 677 363 135 120 \n", "\n", - "T : 81301 8867 5233 2139 2460 [100000]\n", + "T : 81625 9760 5219 1720 1676 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.4%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 9.9107e-03 sec\n", - "--- Collate = 5.9631e-05 sec\n", + "--- Coef/DT = 21.2%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 7.8292e-02 sec\n", + "--- Collate = 1.4014e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.934959e-06 < 6.250000e-03 [1513]\n", - "--- Max DT=2.337304e+00 > 1.000000e-01 [69726]\n", + "--- Min DT=5.876103e-06 < 6.250000e-03 [974]\n", + "--- Max DT=2.661288e+00 > 1.000000e-01 [68056]\n", "----------------------------------------------------------------------\n", - " Component | low: 1513/100000\n", - " Component | high: 69726/100000\n", + " Component | low: 974/100000\n", + " Component | high: 68056/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=85.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00145068 [ 0.93 %]\n", - "Velocity : 0.00430167 [ 2.76 %]\n", - "Force : 0.0592843 [ 38.00 %]\n", - "Coefs : 0.0226389 [ 14.51 %]\n", - "Output : 0.00156617 [ 1.00 %]\n", - "Levels : 0.000231483 [ 0.15 %]\n", - "Report : 8.93e-07 [ 0.00 %]\n", - "Balance : 3.27e-07 [ 0.00 %]\n", - "Adjust : 0.0664691 [ 42.60 %]\n", - "Total : 0.15602 [100.00 %]\n", + "Drift : 0.000776816 [ 0.02 %]\n", + "Velocity : 0.00285737 [ 0.09 %]\n", + "Force : 0.571529 [ 17.94 %]\n", + "Coefs : 1.86919 [ 58.66 %]\n", + "Output : 0.00145286 [ 0.05 %]\n", + "Levels : 0.000252111 [ 0.01 %]\n", + "Report : 4.62e-07 [ 0.00 %]\n", + "Balance : 2.93e-07 [ 0.00 %]\n", + "Adjust : 0.740434 [ 23.24 %]\n", + "Total : 3.18655 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5809 633 369 150 181 \n", - "1 : 5811 650 378 140 163 \n", - "2 : 5800 609 400 166 167 \n", - "3 : 5824 600 407 151 160 \n", - "4 : 5769 620 389 182 182 \n", - "5 : 5843 609 372 139 179 \n", - "6 : 5841 608 362 150 181 \n", - "7 : 5813 608 374 174 173 \n", - "8 : 5830 628 371 147 166 \n", - "9 : 5807 637 344 154 200 \n", - "10 : 5802 653 363 153 171 \n", - "11 : 5745 681 382 161 173 \n", - "12 : 5818 612 385 147 180 \n", - "13 : 5802 687 330 150 185 \n", + "0 : 5810 726 363 113 130 \n", + "1 : 5828 697 388 124 105 \n", + "2 : 5795 692 385 142 128 \n", + "3 : 5835 670 388 120 129 \n", + "4 : 5810 687 387 147 111 \n", + "5 : 5884 670 365 120 103 \n", + "6 : 5873 674 353 125 117 \n", + "7 : 5814 713 373 116 126 \n", + "8 : 5838 683 362 125 134 \n", + "9 : 5816 724 358 115 129 \n", + "10 : 5829 736 346 108 123 \n", + "11 : 5757 769 377 121 118 \n", + "12 : 5872 656 370 123 121 \n", + "13 : 5858 675 371 132 118 \n", "\n", - "T : 81314 8835 5226 2164 2461 [100000]\n", + "T : 81619 9772 5186 1731 1692 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.6%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 9.9766e-03 sec\n", - "--- Collate = 6.3750e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 7.2549e-02 sec\n", + "--- Collate = 1.4896e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.676103e-07 < 6.250000e-03 [1521]\n", - "--- Max DT=2.344076e+00 > 1.000000e-01 [69713]\n", + "--- Min DT=1.325263e-06 < 6.250000e-03 [995]\n", + "--- Max DT=2.668222e+00 > 1.000000e-01 [68050]\n", "----------------------------------------------------------------------\n", - " Component | low: 1521/100000\n", - " Component | high: 69713/100000\n", + " Component | low: 995/100000\n", + " Component | high: 68050/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=85.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00135902 [ 0.86 %]\n", - "Velocity : 0.00447774 [ 2.83 %]\n", - "Force : 0.0604267 [ 38.16 %]\n", - "Coefs : 0.023042 [ 14.55 %]\n", - "Output : 0.00153305 [ 0.97 %]\n", - "Levels : 0.000227999 [ 0.14 %]\n", - "Report : 5.53e-07 [ 0.00 %]\n", - "Balance : 3.37e-07 [ 0.00 %]\n", - "Adjust : 0.0672145 [ 42.45 %]\n", - "Total : 0.158336 [100.00 %]\n", + "Drift : 0.000739136 [ 0.02 %]\n", + "Velocity : 0.00246722 [ 0.06 %]\n", + "Force : 0.719034 [ 17.51 %]\n", + "Coefs : 2.47441 [ 60.27 %]\n", + "Output : 0.00138094 [ 0.03 %]\n", + "Levels : 0.000250784 [ 0.01 %]\n", + "Report : 5.09e-07 [ 0.00 %]\n", + "Balance : 2.76e-07 [ 0.00 %]\n", + "Adjust : 0.907228 [ 22.10 %]\n", + "Total : 4.10556 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5812 630 368 152 180 \n", - "1 : 5812 645 379 145 161 \n", - "2 : 5799 613 397 157 176 \n", - "3 : 5826 603 403 152 158 \n", - "4 : 5767 626 380 181 188 \n", - "5 : 5849 607 374 132 180 \n", - "6 : 5843 599 368 150 182 \n", - "7 : 5810 616 365 176 175 \n", - "8 : 5831 638 359 149 165 \n", - "9 : 5809 634 350 149 200 \n", - "10 : 5795 661 359 153 174 \n", - "11 : 5746 682 372 173 169 \n", - "12 : 5826 605 374 159 178 \n", - "13 : 5806 682 334 142 190 \n", + "0 : 5811 724 357 122 128 \n", + "1 : 5821 709 383 120 109 \n", + "2 : 5797 699 373 150 123 \n", + "3 : 5835 672 379 130 126 \n", + "4 : 5815 683 384 147 113 \n", + "5 : 5890 659 368 123 102 \n", + "6 : 5873 675 351 123 120 \n", + "7 : 5810 721 366 119 126 \n", + "8 : 5836 690 357 122 137 \n", + "9 : 5817 721 360 122 122 \n", + "10 : 5827 733 351 115 116 \n", + "11 : 5772 755 378 121 116 \n", + "12 : 5869 670 358 120 125 \n", + "13 : 5859 677 369 128 121 \n", "\n", - "T : 81331 8841 5182 2170 2476 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81632 9788 5134 1762 1684 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 9.9738e-03 sec\n", - "--- Collate = 6.2952e-05 sec\n", + "--- Coef/DT = 23.1%\n", + "--- Adj/Tot = 2.1%\n", + "--- Update = 5.1197e-02 sec\n", + "--- Collate = 8.0334e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.040567e-07 < 6.250000e-03 [1510]\n", - "--- Max DT=2.350851e+00 > 1.000000e-01 [69721]\n", + "--- Min DT=1.374914e-06 < 6.250000e-03 [1009]\n", + "--- Max DT=2.675158e+00 > 1.000000e-01 [68038]\n", "----------------------------------------------------------------------\n", - " Component | low: 1510/100000\n", - " Component | high: 69721/100000\n", + " Component | low: 1009/100000\n", + " Component | high: 68038/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=85.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.001373 [ 0.87 %]\n", - "Velocity : 0.00438293 [ 2.79 %]\n", - "Force : 0.0593743 [ 37.82 %]\n", - "Coefs : 0.0228544 [ 14.56 %]\n", - "Output : 0.00160744 [ 1.02 %]\n", - "Levels : 0.000267599 [ 0.17 %]\n", - "Report : 8.88e-07 [ 0.00 %]\n", - "Balance : 2.83e-07 [ 0.00 %]\n", - "Adjust : 0.0670613 [ 42.72 %]\n", - "Total : 0.156972 [100.00 %]\n", + "Drift : 0.00410709 [ 0.12 %]\n", + "Velocity : 0.00248469 [ 0.07 %]\n", + "Force : 0.577918 [ 16.93 %]\n", + "Coefs : 2.15133 [ 63.01 %]\n", + "Output : 0.001385 [ 0.04 %]\n", + "Levels : 0.000310505 [ 0.01 %]\n", + "Report : 8.21e-07 [ 0.00 %]\n", + "Balance : 3.44e-07 [ 0.00 %]\n", + "Adjust : 0.676511 [ 19.82 %]\n", + "Total : 3.41409 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5817 622 379 142 182 \n", - "1 : 5811 638 387 143 163 \n", - "2 : 5799 620 390 150 183 \n", - "3 : 5826 599 403 157 157 \n", - "4 : 5768 619 384 173 198 \n", - "5 : 5845 619 373 131 174 \n", - "6 : 5845 597 367 150 183 \n", - "7 : 5810 612 365 173 182 \n", - "8 : 5836 627 366 152 161 \n", - "9 : 5810 635 347 148 202 \n", - "10 : 5787 678 347 149 181 \n", - "11 : 5741 686 369 177 169 \n", - "12 : 5826 606 376 157 177 \n", - "13 : 5807 687 324 149 187 \n", + "0 : 5802 731 360 125 124 \n", + "1 : 5819 715 384 112 112 \n", + "2 : 5792 703 379 132 136 \n", + "3 : 5841 668 379 136 118 \n", + "4 : 5819 676 382 147 118 \n", + "5 : 5889 664 350 133 106 \n", + "6 : 5872 680 350 112 128 \n", + "7 : 5809 723 361 123 126 \n", + "8 : 5831 693 357 121 140 \n", + "9 : 5812 727 356 126 121 \n", + "10 : 5830 721 357 116 118 \n", + "11 : 5773 760 363 126 120 \n", + "12 : 5868 669 368 115 122 \n", + "13 : 5860 678 366 124 126 \n", "\n", - "T : 81328 8845 5177 2151 2499 [100000]\n", + "T : 81617 9808 5112 1748 1715 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.3%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 9.8134e-03 sec\n", - "--- Collate = 5.9738e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 5.5462e-02 sec\n", + "--- Collate = 1.1019e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.054765e-06 < 6.250000e-03 [1513]\n", - "--- Max DT=2.357628e+00 > 1.000000e-01 [69708]\n", + "--- Min DT=2.522031e-06 < 6.250000e-03 [1046]\n", + "--- Max DT=2.682096e+00 > 1.000000e-01 [68022]\n", "----------------------------------------------------------------------\n", - " Component | low: 1513/100000\n", - " Component | high: 69708/100000\n", + " Component | low: 1046/100000\n", + " Component | high: 68022/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=85.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00133864 [ 0.86 %]\n", - "Velocity : 0.00422365 [ 2.70 %]\n", - "Force : 0.0595514 [ 38.06 %]\n", - "Coefs : 0.0228193 [ 14.59 %]\n", - "Output : 0.00155119 [ 0.99 %]\n", - "Levels : 0.000255327 [ 0.16 %]\n", - "Report : 5.48e-07 [ 0.00 %]\n", - "Balance : 3.02e-07 [ 0.00 %]\n", - "Adjust : 0.0666618 [ 42.61 %]\n", - "Total : 0.156456 [100.00 %]\n", + "Drift : 0.000804319 [ 0.02 %]\n", + "Velocity : 0.00254904 [ 0.08 %]\n", + "Force : 0.614774 [ 18.87 %]\n", + "Coefs : 1.89573 [ 58.18 %]\n", + "Output : 0.0013987 [ 0.04 %]\n", + "Levels : 0.000282324 [ 0.01 %]\n", + "Report : 4.65e-07 [ 0.00 %]\n", + "Balance : 2.61e-07 [ 0.00 %]\n", + "Adjust : 0.74264 [ 22.79 %]\n", + "Total : 3.25822 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5824 617 386 132 183 \n", - "1 : 5814 645 378 135 170 \n", - "2 : 5799 613 402 145 183 \n", - "3 : 5827 600 402 160 153 \n", - "4 : 5772 612 394 166 198 \n", - "5 : 5854 609 376 125 178 \n", - "6 : 5847 597 366 146 186 \n", - "7 : 5805 622 365 171 179 \n", - "8 : 5839 628 369 150 156 \n", - "9 : 5806 643 337 158 198 \n", - "10 : 5788 678 342 150 184 \n", - "11 : 5743 688 359 180 172 \n", - "12 : 5832 602 373 160 175 \n", - "13 : 5803 694 328 153 176 \n", + "0 : 5804 733 359 124 122 \n", + "1 : 5817 718 378 115 114 \n", + "2 : 5791 705 373 131 142 \n", + "3 : 5842 670 377 129 124 \n", + "4 : 5815 686 371 147 123 \n", + "5 : 5889 660 356 126 111 \n", + "6 : 5875 682 346 111 128 \n", + "7 : 5812 725 355 126 124 \n", + "8 : 5835 703 342 126 136 \n", + "9 : 5811 726 358 129 118 \n", + "10 : 5828 722 357 111 124 \n", + "11 : 5778 758 358 127 121 \n", + "12 : 5867 675 357 119 124 \n", + "13 : 5857 684 360 123 130 \n", "\n", - "T : 81353 8848 5177 2131 2491 [100000]\n", + "T : 81621 9847 5047 1744 1741 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", - "--- Adj/Tot = 1.8%\n", - "--- Update = 9.2226e-03 sec\n", - "--- Collate = 6.4552e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 6.3383e-02 sec\n", + "--- Collate = 6.0470e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.197791e-06 < 6.250000e-03 [1523]\n", - "--- Max DT=2.364408e+00 > 1.000000e-01 [69723]\n", + "--- Min DT=9.697827e-07 < 6.250000e-03 [1032]\n", + "--- Max DT=2.689036e+00 > 1.000000e-01 [68026]\n", "----------------------------------------------------------------------\n", - " Component | low: 1523/100000\n", - " Component | high: 69723/100000\n", + " Component | low: 1032/100000\n", + " Component | high: 68026/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=85.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00131283 [ 0.87 %]\n", - "Velocity : 0.00403206 [ 2.66 %]\n", - "Force : 0.0577027 [ 38.07 %]\n", - "Coefs : 0.0224079 [ 14.79 %]\n", - "Output : 0.0015645 [ 1.03 %]\n", - "Levels : 0.000278212 [ 0.18 %]\n", - "Report : 6.25e-07 [ 0.00 %]\n", - "Balance : 2.68e-07 [ 0.00 %]\n", - "Adjust : 0.064205 [ 42.36 %]\n", - "Total : 0.151557 [100.00 %]\n", + "Drift : 0.000497309 [ 0.01 %]\n", + "Velocity : 0.00225175 [ 0.07 %]\n", + "Force : 0.507359 [ 14.90 %]\n", + "Coefs : 2.12472 [ 62.39 %]\n", + "Output : 0.00141831 [ 0.04 %]\n", + "Levels : 0.000281275 [ 0.01 %]\n", + "Report : 5.73e-07 [ 0.00 %]\n", + "Balance : 3.15e-07 [ 0.00 %]\n", + "Adjust : 0.768846 [ 22.58 %]\n", + "Total : 3.40542 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5825 622 371 134 190 \n", - "1 : 5813 643 385 136 165 \n", - "2 : 5799 612 400 145 186 \n", - "3 : 5830 599 395 165 153 \n", - "4 : 5768 617 401 172 184 \n", - "5 : 5853 614 369 126 180 \n", - "6 : 5852 586 370 153 181 \n", - "7 : 5809 619 365 159 190 \n", - "8 : 5833 627 368 156 158 \n", - "9 : 5805 638 342 156 201 \n", - "10 : 5781 682 352 153 174 \n", - "11 : 5744 689 364 168 177 \n", - "12 : 5836 594 368 170 174 \n", - "13 : 5810 684 328 161 171 \n", + "0 : 5799 742 354 121 126 \n", + "1 : 5817 711 382 114 118 \n", + "2 : 5788 706 370 131 147 \n", + "3 : 5837 675 369 132 129 \n", + "4 : 5815 688 374 139 126 \n", + "5 : 5885 666 351 128 112 \n", + "6 : 5874 681 342 111 134 \n", + "7 : 5815 724 358 119 126 \n", + "8 : 5829 715 339 126 133 \n", + "9 : 5809 733 363 124 113 \n", + "10 : 5827 724 359 103 129 \n", + "11 : 5775 768 358 114 127 \n", + "12 : 5867 669 367 120 119 \n", + "13 : 5860 689 343 133 129 \n", "\n", - "T : 81358 8826 5178 2154 2484 [100000]\n", + "T : 81597 9891 5029 1715 1768 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", - "--- Adj/Tot = 1.8%\n", - "--- Update = 9.7828e-03 sec\n", - "--- Collate = 4.1723e-05 sec\n", + "--- Coef/DT = 2.5%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 4.4229e-02 sec\n", + "--- Collate = 7.0653e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.051192e-06 < 6.250000e-03 [1528]\n", - "--- Max DT=2.371190e+00 > 1.000000e-01 [69714]\n", - "----------------------------------------------------------------------\n", - " Component | low: 1528/100000\n", - " Component | high: 69714/100000\n", + "--- Min DT=4.282743e-06 < 6.250000e-03 [1050]\n", + "--- Max DT=2.695979e+00 > 1.000000e-01 [68032]\n", "----------------------------------------------------------------------\n", + " Component | low: 1050/100000\n", + " Component | high: 68032/100000\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=86] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00129634 [ 0.83 %]\n", - "Velocity : 0.00424254 [ 2.73 %]\n", - "Force : 0.0556015 [ 35.79 %]\n", - "Coefs : 0.0214191 [ 13.79 %]\n", - "Output : 0.00611513 [ 3.94 %]\n", - "Levels : 0.000476029 [ 0.31 %]\n", - "Report : 1.268e-06 [ 0.00 %]\n", - "Balance : 6.84e-07 [ 0.00 %]\n", - "Adjust : 0.06614 [ 42.58 %]\n", - "Total : 0.155346 [100.00 %]\n", + "Drift : 0.00108375 [ 0.03 %]\n", + "Velocity : 0.00281802 [ 0.08 %]\n", + "Force : 0.599361 [ 17.64 %]\n", + "Coefs : 2.10118 [ 61.84 %]\n", + "Output : 0.0063477 [ 0.19 %]\n", + "Levels : 0.000631372 [ 0.02 %]\n", + "Report : 9.11e-07 [ 0.00 %]\n", + "Balance : 4.99e-07 [ 0.00 %]\n", + "Adjust : 0.686232 [ 20.20 %]\n", + "Total : 3.39771 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5825 628 362 134 193 \n", - "1 : 5815 633 388 138 168 \n", - "2 : 5797 614 405 130 196 \n", - "3 : 5833 602 395 154 158 \n", - "4 : 5772 622 391 163 194 \n", - "5 : 5848 627 358 138 171 \n", - "6 : 5855 587 366 150 184 \n", - "7 : 5808 623 364 166 181 \n", - "8 : 5833 628 378 142 161 \n", - "9 : 5802 642 342 161 195 \n", - "10 : 5786 685 345 147 179 \n", - "11 : 5745 679 361 173 184 \n", - "12 : 5837 587 375 170 173 \n", - "13 : 5809 682 334 160 169 \n", + "0 : 5800 743 357 122 120 \n", + "1 : 5814 709 380 124 115 \n", + "2 : 5793 705 366 127 151 \n", + "3 : 5833 684 366 131 128 \n", + "4 : 5820 691 374 122 135 \n", + "5 : 5884 666 350 126 116 \n", + "6 : 5874 685 338 120 125 \n", + "7 : 5819 727 346 122 128 \n", + "8 : 5828 715 347 120 132 \n", + "9 : 5804 737 362 126 113 \n", + "10 : 5831 718 366 97 130 \n", + "11 : 5775 766 356 116 129 \n", + "12 : 5868 670 360 126 118 \n", + "13 : 5859 690 353 124 128 \n", "\n", - "T : 81365 8839 5164 2126 2506 [100000]\n", + "T : 81602 9906 5021 1703 1768 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 9.9522e-03 sec\n", - "--- Collate = 3.8419e-04 sec\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 4.5377e-02 sec\n", + "--- Collate = 2.9639e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.489726e-06 < 6.250000e-03 [1499]\n", - "--- Max DT=2.377974e+00 > 1.000000e-01 [69693]\n", + "--- Min DT=2.253628e-06 < 6.250000e-03 [1065]\n", + "--- Max DT=2.702923e+00 > 1.000000e-01 [68029]\n", "----------------------------------------------------------------------\n", - " Component | low: 1499/100000\n", - " Component | high: 69693/100000\n", + " Component | low: 1065/100000\n", + " Component | high: 68029/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=86.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0013645 [ 0.84 %]\n", - "Velocity : 0.00480587 [ 2.94 %]\n", - "Force : 0.0613034 [ 37.53 %]\n", - "Coefs : 0.0226995 [ 13.90 %]\n", - "Output : 0.00192708 [ 1.18 %]\n", - "Levels : 0.000204405 [ 0.13 %]\n", - "Report : 8.53e-07 [ 0.00 %]\n", - "Balance : 2.67e-07 [ 0.00 %]\n", - "Adjust : 0.0709705 [ 43.45 %]\n", - "Total : 0.163334 [100.00 %]\n", + "Drift : 0.00117715 [ 0.04 %]\n", + "Velocity : 0.00283271 [ 0.09 %]\n", + "Force : 0.521726 [ 16.25 %]\n", + "Coefs : 2.05873 [ 64.12 %]\n", + "Output : 0.00141971 [ 0.04 %]\n", + "Levels : 0.000271272 [ 0.01 %]\n", + "Report : 5.38e-07 [ 0.00 %]\n", + "Balance : 3.66e-07 [ 0.00 %]\n", + "Adjust : 0.624656 [ 19.45 %]\n", + "Total : 3.21087 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5823 621 367 141 190 \n", - "1 : 5813 645 376 138 170 \n", - "2 : 5798 615 395 134 200 \n", - "3 : 5828 606 388 156 164 \n", - "4 : 5773 618 392 165 194 \n", - "5 : 5844 629 354 146 169 \n", - "6 : 5856 583 368 152 183 \n", - "7 : 5805 619 379 159 180 \n", - "8 : 5832 624 382 144 160 \n", - "9 : 5801 642 343 164 192 \n", - "10 : 5789 681 347 141 184 \n", - "11 : 5745 675 367 164 191 \n", - "12 : 5839 583 376 166 178 \n", - "13 : 5810 686 331 159 168 \n", + "0 : 5798 739 362 120 123 \n", + "1 : 5815 711 376 118 122 \n", + "2 : 5789 702 376 126 149 \n", + "3 : 5833 686 372 126 125 \n", + "4 : 5817 702 364 118 141 \n", + "5 : 5885 667 345 123 122 \n", + "6 : 5870 693 329 126 124 \n", + "7 : 5817 729 347 114 135 \n", + "8 : 5837 699 350 128 128 \n", + "9 : 5806 743 356 131 106 \n", + "10 : 5833 713 367 103 126 \n", + "11 : 5770 775 357 109 131 \n", + "12 : 5861 683 352 125 121 \n", + "13 : 5864 679 362 114 135 \n", "\n", - "T : 81356 8827 5165 2129 2523 [100000]\n", + "T : 81595 9921 5015 1681 1788 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.4%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 9.7122e-03 sec\n", - "--- Collate = 6.1387e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 2.1%\n", + "--- Update = 5.8224e-02 sec\n", + "--- Collate = 5.0367e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.062041e-06 < 6.250000e-03 [1513]\n", - "--- Max DT=2.384761e+00 > 1.000000e-01 [69696]\n", + "--- Min DT=6.610009e-06 < 6.250000e-03 [1081]\n", + "--- Max DT=2.709870e+00 > 1.000000e-01 [68007]\n", "----------------------------------------------------------------------\n", - " Component | low: 1513/100000\n", - " Component | high: 69696/100000\n", + " Component | low: 1081/100000\n", + " Component | high: 68007/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=86.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00128402 [ 0.82 %]\n", - "Velocity : 0.00431762 [ 2.76 %]\n", - "Force : 0.0590529 [ 37.69 %]\n", - "Coefs : 0.0223783 [ 14.28 %]\n", - "Output : 0.00160077 [ 1.02 %]\n", - "Levels : 0.000222894 [ 0.14 %]\n", - "Report : 6.01e-07 [ 0.00 %]\n", - "Balance : 2.7e-07 [ 0.00 %]\n", - "Adjust : 0.0677596 [ 43.25 %]\n", - "Total : 0.15667 [100.00 %]\n", + "Drift : 0.000751397 [ 0.02 %]\n", + "Velocity : 0.00270773 [ 0.09 %]\n", + "Force : 0.512706 [ 16.10 %]\n", + "Coefs : 1.95858 [ 61.52 %]\n", + "Output : 0.00150192 [ 0.05 %]\n", + "Levels : 0.000717073 [ 0.02 %]\n", + "Report : 1.203e-06 [ 0.00 %]\n", + "Balance : 3.65e-07 [ 0.00 %]\n", + "Adjust : 0.706761 [ 22.20 %]\n", + "Total : 3.18378 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5821 629 363 145 184 \n", - "1 : 5812 643 383 133 171 \n", - "2 : 5796 621 390 128 207 \n", - "3 : 5826 617 368 156 175 \n", - "4 : 5775 618 394 166 189 \n", - "5 : 5847 627 358 135 175 \n", - "6 : 5854 589 358 162 179 \n", - "7 : 5809 619 379 160 175 \n", - "8 : 5832 621 389 135 165 \n", - "9 : 5803 634 352 167 186 \n", - "10 : 5786 673 363 134 186 \n", - "11 : 5742 675 378 153 194 \n", - "12 : 5838 586 373 158 187 \n", - "13 : 5805 687 344 150 168 \n", + "0 : 5798 736 363 113 132 \n", + "1 : 5819 699 382 121 121 \n", + "2 : 5786 703 366 130 157 \n", + "3 : 5832 691 365 130 124 \n", + "4 : 5820 697 363 122 140 \n", + "5 : 5888 665 349 121 119 \n", + "6 : 5869 695 322 130 126 \n", + "7 : 5822 727 346 106 141 \n", + "8 : 5835 695 357 125 130 \n", + "9 : 5808 739 359 126 110 \n", + "10 : 5830 706 370 113 123 \n", + "11 : 5762 780 359 106 135 \n", + "12 : 5865 687 341 131 118 \n", + "13 : 5864 685 362 111 132 \n", "\n", - "T : 81346 8839 5192 2082 2541 [100000]\n", + "T : 81598 9905 5004 1685 1808 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 9.9337e-03 sec\n", - "--- Collate = 6.9764e-05 sec\n", + "--- Coef/DT = 31.6%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 4.9513e-02 sec\n", + "--- Collate = 1.0721e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.751202e-06 < 6.250000e-03 [1504]\n", - "--- Max DT=2.391551e+00 > 1.000000e-01 [69691]\n", + "--- Min DT=7.594878e-06 < 6.250000e-03 [1063]\n", + "--- Max DT=2.716820e+00 > 1.000000e-01 [68004]\n", "----------------------------------------------------------------------\n", - " Component | low: 1504/100000\n", - " Component | high: 69691/100000\n", + " Component | low: 1063/100000\n", + " Component | high: 68004/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=86.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00152641 [ 0.95 %]\n", - "Velocity : 0.0044013 [ 2.73 %]\n", - "Force : 0.0612999 [ 37.96 %]\n", - "Coefs : 0.0221005 [ 13.68 %]\n", - "Output : 0.00179923 [ 1.11 %]\n", - "Levels : 0.000268543 [ 0.17 %]\n", - "Report : 8.65e-07 [ 0.00 %]\n", - "Balance : 2.74e-07 [ 0.00 %]\n", - "Adjust : 0.0700431 [ 43.37 %]\n", - "Total : 0.161498 [100.00 %]\n", + "Drift : 0.000505942 [ 0.01 %]\n", + "Velocity : 0.00350908 [ 0.10 %]\n", + "Force : 0.588927 [ 16.46 %]\n", + "Coefs : 2.15244 [ 60.16 %]\n", + "Output : 0.00138209 [ 0.04 %]\n", + "Levels : 0.000326295 [ 0.01 %]\n", + "Report : 5.68e-07 [ 0.00 %]\n", + "Balance : 2.7e-07 [ 0.00 %]\n", + "Adjust : 0.830434 [ 23.21 %]\n", + "Total : 3.57757 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5822 627 360 156 177 \n", - "1 : 5813 642 383 135 169 \n", - "2 : 5795 628 377 136 206 \n", - "3 : 5826 613 377 156 170 \n", - "4 : 5781 613 384 172 192 \n", - "5 : 5846 638 348 141 169 \n", - "6 : 5855 595 355 157 180 \n", - "7 : 5808 619 380 165 170 \n", - "8 : 5831 621 389 144 157 \n", - "9 : 5803 635 348 165 191 \n", - "10 : 5783 676 369 131 183 \n", - "11 : 5743 679 378 157 185 \n", - "12 : 5837 587 376 156 186 \n", - "13 : 5814 675 342 159 164 \n", + "0 : 5797 738 365 107 135 \n", + "1 : 5824 686 388 121 123 \n", + "2 : 5785 695 371 136 155 \n", + "3 : 5834 690 363 123 132 \n", + "4 : 5818 704 364 121 135 \n", + "5 : 5893 664 347 120 118 \n", + "6 : 5880 684 329 129 120 \n", + "7 : 5818 727 344 109 144 \n", + "8 : 5829 704 360 121 128 \n", + "9 : 5812 738 351 129 112 \n", + "10 : 5834 696 376 111 125 \n", + "11 : 5764 775 361 111 131 \n", + "12 : 5866 683 351 121 121 \n", + "13 : 5862 683 363 110 136 \n", "\n", - "T : 81357 8848 5166 2130 2499 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81616 9867 5033 1669 1815 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.3%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 9.8584e-03 sec\n", - "--- Collate = 6.7104e-05 sec\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 5.2285e-02 sec\n", + "--- Collate = 1.1024e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.985679e-06 < 6.250000e-03 [1516]\n", - "--- Max DT=2.398342e+00 > 1.000000e-01 [69679]\n", + "--- Min DT=2.185929e-08 < 6.250000e-03 [1074]\n", + "--- Max DT=2.723771e+00 > 1.000000e-01 [67974]\n", "----------------------------------------------------------------------\n", - " Component | low: 1516/100000\n", - " Component | high: 69679/100000\n", + " Component | low: 1074/100000\n", + " Component | high: 67974/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=86.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00141397 [ 0.89 %]\n", - "Velocity : 0.00429228 [ 2.69 %]\n", - "Force : 0.0599015 [ 37.58 %]\n", - "Coefs : 0.0228044 [ 14.31 %]\n", - "Output : 0.00178146 [ 1.12 %]\n", - "Levels : 0.000239469 [ 0.15 %]\n", - "Report : 5.86e-07 [ 0.00 %]\n", - "Balance : 3.13e-07 [ 0.00 %]\n", - "Adjust : 0.068918 [ 43.23 %]\n", - "Total : 0.159407 [100.00 %]\n", + "Drift : 0.000835853 [ 0.03 %]\n", + "Velocity : 0.00294629 [ 0.10 %]\n", + "Force : 0.521109 [ 17.60 %]\n", + "Coefs : 1.8261 [ 61.66 %]\n", + "Output : 0.00136676 [ 0.05 %]\n", + "Levels : 0.000300464 [ 0.01 %]\n", + "Report : 8.93e-07 [ 0.00 %]\n", + "Balance : 4.08e-07 [ 0.00 %]\n", + "Adjust : 0.608761 [ 20.56 %]\n", + "Total : 2.96146 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5823 628 357 146 188 \n", - "1 : 5810 647 380 146 159 \n", - "2 : 5791 628 373 144 206 \n", - "3 : 5826 621 364 151 180 \n", - "4 : 5778 621 370 173 200 \n", - "5 : 5851 637 354 133 167 \n", - "6 : 5855 592 360 149 186 \n", - "7 : 5809 623 361 176 173 \n", - "8 : 5825 637 377 154 149 \n", - "9 : 5802 629 358 168 185 \n", - "10 : 5783 667 369 138 185 \n", - "11 : 5734 695 368 146 199 \n", - "12 : 5838 594 361 165 184 \n", - "13 : 5816 673 351 152 162 \n", + "0 : 5790 751 353 114 134 \n", + "1 : 5820 690 382 132 118 \n", + "2 : 5778 700 364 140 160 \n", + "3 : 5835 686 370 108 143 \n", + "4 : 5822 710 346 132 132 \n", + "5 : 5891 673 341 121 116 \n", + "6 : 5880 683 330 125 124 \n", + "7 : 5823 718 346 108 147 \n", + "8 : 5831 701 358 121 131 \n", + "9 : 5814 729 356 143 100 \n", + "10 : 5835 702 368 112 125 \n", + "11 : 5768 772 358 117 127 \n", + "12 : 5868 686 346 118 124 \n", + "13 : 5862 684 361 110 137 \n", "\n", - "T : 81341 8892 5103 2141 2523 [100000]\n", + "T : 81617 9885 4979 1701 1818 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.4%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.0048e-02 sec\n", - "--- Collate = 6.4821e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 5.6353e-02 sec\n", + "--- Collate = 2.0327e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.901085e-06 < 6.250000e-03 [1537]\n", - "--- Max DT=2.405137e+00 > 1.000000e-01 [69680]\n", + "--- Min DT=5.060699e-06 < 6.250000e-03 [1075]\n", + "--- Max DT=2.730724e+00 > 1.000000e-01 [67974]\n", "----------------------------------------------------------------------\n", - " Component | low: 1537/100000\n", - " Component | high: 69680/100000\n", + " Component | low: 1075/100000\n", + " Component | high: 67974/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=86.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00135133 [ 0.84 %]\n", - "Velocity : 0.00447256 [ 2.77 %]\n", - "Force : 0.0605489 [ 37.49 %]\n", - "Coefs : 0.0230708 [ 14.29 %]\n", - "Output : 0.00168263 [ 1.04 %]\n", - "Levels : 0.00027112 [ 0.17 %]\n", - "Report : 8.21e-07 [ 0.00 %]\n", - "Balance : 3.29e-07 [ 0.00 %]\n", - "Adjust : 0.0700437 [ 43.37 %]\n", - "Total : 0.161502 [100.00 %]\n", + "Drift : 0.000780215 [ 0.02 %]\n", + "Velocity : 0.00272722 [ 0.08 %]\n", + "Force : 0.591885 [ 17.55 %]\n", + "Coefs : 2.11505 [ 62.70 %]\n", + "Output : 0.00129491 [ 0.04 %]\n", + "Levels : 0.000280663 [ 0.01 %]\n", + "Report : 5.13e-07 [ 0.00 %]\n", + "Balance : 2.21e-07 [ 0.00 %]\n", + "Adjust : 0.661331 [ 19.60 %]\n", + "Total : 3.3734 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5825 625 361 151 180 \n", - "1 : 5813 631 388 148 162 \n", - "2 : 5785 632 378 155 192 \n", - "3 : 5828 617 362 152 183 \n", - "4 : 5780 624 369 173 196 \n", - "5 : 5856 636 348 130 172 \n", - "6 : 5854 600 349 157 182 \n", - "7 : 5806 621 363 174 178 \n", - "8 : 5822 641 377 152 150 \n", - "9 : 5799 634 358 162 189 \n", - "10 : 5781 671 369 134 187 \n", - "11 : 5735 694 364 149 200 \n", - "12 : 5833 608 356 155 190 \n", - "13 : 5820 663 360 153 158 \n", + "0 : 5798 742 354 110 138 \n", + "1 : 5813 706 367 133 123 \n", + "2 : 5781 704 357 145 155 \n", + "3 : 5837 688 359 116 142 \n", + "4 : 5816 714 351 124 137 \n", + "5 : 5890 678 336 118 120 \n", + "6 : 5876 684 331 115 136 \n", + "7 : 5818 720 345 121 138 \n", + "8 : 5830 699 361 125 127 \n", + "9 : 5817 716 365 137 107 \n", + "10 : 5836 699 367 121 119 \n", + "11 : 5764 777 349 124 128 \n", + "12 : 5866 690 348 118 120 \n", + "13 : 5855 698 358 108 135 \n", "\n", - "T : 81337 8897 5102 2145 2519 [100000]\n", + "T : 81597 9915 4948 1715 1825 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.6%\n", - "--- Adj/Tot = 1.8%\n", - "--- Update = 1.0087e-02 sec\n", - "--- Collate = 6.9814e-05 sec\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 5.7533e-02 sec\n", + "--- Collate = 2.0454e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.463182e-08 < 6.250000e-03 [1509]\n", - "--- Max DT=2.411933e+00 > 1.000000e-01 [69674]\n", + "--- Min DT=2.471645e-06 < 6.250000e-03 [1086]\n", + "--- Max DT=2.737680e+00 > 1.000000e-01 [67996]\n", "----------------------------------------------------------------------\n", - " Component | low: 1509/100000\n", - " Component | high: 69674/100000\n", + " Component | low: 1086/100000\n", + " Component | high: 67996/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=86.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00134713 [ 0.85 %]\n", - "Velocity : 0.00451325 [ 2.85 %]\n", - "Force : 0.0600101 [ 37.91 %]\n", - "Coefs : 0.0227868 [ 14.39 %]\n", - "Output : 0.0015633 [ 0.99 %]\n", - "Levels : 0.000234008 [ 0.15 %]\n", - "Report : 6.3e-07 [ 0.00 %]\n", - "Balance : 2.72e-07 [ 0.00 %]\n", - "Adjust : 0.0678017 [ 42.83 %]\n", - "Total : 0.158317 [100.00 %]\n", + "Drift : 0.000490459 [ 0.01 %]\n", + "Velocity : 0.00222521 [ 0.07 %]\n", + "Force : 0.604889 [ 17.88 %]\n", + "Coefs : 2.11962 [ 62.65 %]\n", + "Output : 0.00119264 [ 0.04 %]\n", + "Levels : 0.000351086 [ 0.01 %]\n", + "Report : 9.32e-07 [ 0.00 %]\n", + "Balance : 3.39e-07 [ 0.00 %]\n", + "Adjust : 0.654561 [ 19.35 %]\n", + "Total : 3.38338 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5826 623 358 154 181 \n", - "1 : 5813 634 386 150 159 \n", - "2 : 5789 622 393 152 186 \n", - "3 : 5826 617 366 145 188 \n", - "4 : 5778 625 375 175 189 \n", - "5 : 5853 637 348 135 169 \n", - "6 : 5850 613 336 161 182 \n", - "7 : 5803 621 359 169 190 \n", - "8 : 5819 648 373 152 150 \n", - "9 : 5802 637 342 168 193 \n", - "10 : 5781 679 364 139 179 \n", - "11 : 5732 697 370 143 200 \n", - "12 : 5833 619 344 156 190 \n", - "13 : 5818 660 361 157 158 \n", + "0 : 5794 747 355 108 138 \n", + "1 : 5811 713 372 124 122 \n", + "2 : 5782 705 357 142 156 \n", + "3 : 5833 689 353 129 138 \n", + "4 : 5819 717 352 126 128 \n", + "5 : 5886 682 338 110 126 \n", + "6 : 5876 679 344 107 136 \n", + "7 : 5818 728 332 131 133 \n", + "8 : 5830 703 355 121 133 \n", + "9 : 5815 719 362 135 111 \n", + "10 : 5839 696 364 121 122 \n", + "11 : 5767 776 341 138 120 \n", + "12 : 5863 693 354 118 114 \n", + "13 : 5854 704 350 115 131 \n", "\n", - "T : 81323 8932 5075 2156 2514 [100000]\n", + "T : 81587 9951 4929 1725 1808 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 1.0188e-02 sec\n", - "--- Collate = 7.0013e-05 sec\n", + "--- Coef/DT = 38.6%\n", + "--- Adj/Tot = 2.1%\n", + "--- Update = 5.1492e-02 sec\n", + "--- Collate = 1.8240e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.197153e-06 < 6.250000e-03 [1472]\n", - "--- Max DT=2.418732e+00 > 1.000000e-01 [69679]\n", + "--- Min DT=1.207172e-05 < 6.250000e-03 [1058]\n", + "--- Max DT=2.744638e+00 > 1.000000e-01 [67970]\n", "----------------------------------------------------------------------\n", - " Component | low: 1472/100000\n", - " Component | high: 69679/100000\n", + " Component | low: 1058/100000\n", + " Component | high: 67970/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=86.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00144415 [ 0.90 %]\n", - "Velocity : 0.00453864 [ 2.84 %]\n", - "Force : 0.060127 [ 37.58 %]\n", - "Coefs : 0.022945 [ 14.34 %]\n", - "Output : 0.00159183 [ 0.99 %]\n", - "Levels : 0.000273929 [ 0.17 %]\n", - "Report : 8.46e-07 [ 0.00 %]\n", - "Balance : 2.79e-07 [ 0.00 %]\n", - "Adjust : 0.0689908 [ 43.12 %]\n", - "Total : 0.159993 [100.00 %]\n", - "----------------------------------------------------------------------\n", - "\n", - "----------------------------------------------------------------------\n", - "--- Level info--------------------------------------------------------\n", - "----------------------------------------------------------------------\n", - "0 : 5820 631 356 153 182 \n", - "1 : 5815 631 384 138 174 \n", - "2 : 5784 630 391 156 181 \n", - "3 : 5828 613 366 146 189 \n", - "4 : 5774 623 374 176 195 \n", - "5 : 5859 631 356 127 169 \n", - "6 : 5850 605 344 164 179 \n", - "7 : 5804 615 359 176 188 \n", - "8 : 5820 650 362 166 144 \n", - "9 : 5802 631 343 172 194 \n", - "10 : 5778 687 358 148 171 \n", - "11 : 5735 696 373 140 198 \n", - "12 : 5826 623 346 158 189 \n", - "13 : 5816 663 360 158 157 \n", - "\n", - "T : 81311 8929 5072 2178 2510 [100000]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000734571 [ 0.02 %]\n", + "Velocity : 0.00212339 [ 0.06 %]\n", + "Force : 0.642976 [ 17.45 %]\n", + "Coefs : 2.24843 [ 61.02 %]\n", + "Output : 0.000768155 [ 0.02 %]\n", + "Levels : 0.000157559 [ 0.00 %]\n", + "Report : 4.8e-07 [ 0.00 %]\n", + "Balance : 1.17e-07 [ 0.00 %]\n", + "Adjust : 0.789735 [ 21.43 %]\n", + "Total : 3.68495 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5799 742 359 113 129 \n", + "1 : 5812 713 362 129 126 \n", + "2 : 5784 700 359 144 155 \n", + "3 : 5834 687 350 136 135 \n", + "4 : 5823 712 351 126 130 \n", + "5 : 5883 695 332 107 125 \n", + "6 : 5876 685 340 107 134 \n", + "7 : 5815 731 334 131 131 \n", + "8 : 5829 703 358 112 140 \n", + "9 : 5814 719 359 140 110 \n", + "10 : 5835 704 358 126 119 \n", + "11 : 5763 777 346 127 129 \n", + "12 : 5860 695 355 115 117 \n", + "13 : 5850 709 343 118 134 \n", + "\n", + "T : 81577 9972 4906 1731 1814 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 1.0024e-02 sec\n", - "--- Collate = 6.8129e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 2.1%\n", + "--- Update = 4.8446e-02 sec\n", + "--- Collate = 7.0146e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.184303e-06 < 6.250000e-03 [1462]\n", - "--- Max DT=2.425534e+00 > 1.000000e-01 [69683]\n", + "--- Min DT=5.625550e-06 < 6.250000e-03 [1052]\n", + "--- Max DT=2.751598e+00 > 1.000000e-01 [67975]\n", "----------------------------------------------------------------------\n", - " Component | low: 1462/100000\n", - " Component | high: 69683/100000\n", + " Component | low: 1052/100000\n", + " Component | high: 67975/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=86.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00143669 [ 0.91 %]\n", - "Velocity : 0.00449595 [ 2.85 %]\n", - "Force : 0.0607631 [ 38.58 %]\n", - "Coefs : 0.0229478 [ 14.57 %]\n", - "Output : 0.00161131 [ 1.02 %]\n", - "Levels : 0.000278877 [ 0.18 %]\n", - "Report : 6.08e-07 [ 0.00 %]\n", - "Balance : 3.34e-07 [ 0.00 %]\n", - "Adjust : 0.0658968 [ 41.84 %]\n", - "Total : 0.157487 [100.00 %]\n", + "Drift : 0.000435294 [ 0.01 %]\n", + "Velocity : 0.00171825 [ 0.05 %]\n", + "Force : 0.561402 [ 16.64 %]\n", + "Coefs : 2.15005 [ 63.73 %]\n", + "Output : 0.000775105 [ 0.02 %]\n", + "Levels : 0.000856146 [ 0.03 %]\n", + "Report : 3.75e-07 [ 0.00 %]\n", + "Balance : 1.46e-07 [ 0.00 %]\n", + "Adjust : 0.65834 [ 19.51 %]\n", + "Total : 3.3736 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5828 627 346 164 177 \n", - "1 : 5811 634 380 148 169 \n", - "2 : 5782 635 400 153 172 \n", - "3 : 5822 607 380 148 185 \n", - "4 : 5767 631 378 167 199 \n", - "5 : 5852 643 349 134 164 \n", - "6 : 5845 607 340 167 183 \n", - "7 : 5802 617 361 175 187 \n", - "8 : 5818 653 358 159 154 \n", - "9 : 5803 639 334 173 193 \n", - "10 : 5775 691 348 156 172 \n", - "11 : 5735 700 363 150 194 \n", - "12 : 5825 619 356 151 191 \n", - "13 : 5817 660 361 154 162 \n", + "0 : 5799 747 349 117 130 \n", + "1 : 5803 730 347 126 136 \n", + "2 : 5779 701 368 129 165 \n", + "3 : 5837 682 356 132 135 \n", + "4 : 5818 718 341 138 127 \n", + "5 : 5881 700 332 99 130 \n", + "6 : 5875 680 349 106 132 \n", + "7 : 5813 731 338 128 132 \n", + "8 : 5825 703 357 115 142 \n", + "9 : 5817 720 355 133 117 \n", + "10 : 5837 709 352 118 126 \n", + "11 : 5770 764 356 130 122 \n", + "12 : 5854 697 364 109 118 \n", + "13 : 5853 704 348 120 129 \n", "\n", - "T : 81282 8963 5054 2199 2502 [100000]\n", + "T : 81561 9986 4912 1700 1841 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 9.8190e-03 sec\n", - "--- Collate = 6.6140e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 2.2%\n", + "--- Update = 3.5697e-02 sec\n", + "--- Collate = 1.0258e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.309858e-06 < 6.250000e-03 [1446]\n", - "--- Max DT=2.432338e+00 > 1.000000e-01 [69684]\n", + "--- Min DT=2.603053e-06 < 6.250000e-03 [1088]\n", + "--- Max DT=2.758560e+00 > 1.000000e-01 [67980]\n", "----------------------------------------------------------------------\n", - " Component | low: 1446/100000\n", - " Component | high: 69684/100000\n", + " Component | low: 1088/100000\n", + " Component | high: 67980/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=86.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0012052 [ 0.76 %]\n", - "Velocity : 0.00478031 [ 3.01 %]\n", - "Force : 0.0603359 [ 38.00 %]\n", - "Coefs : 0.0227665 [ 14.34 %]\n", - "Output : 0.00162535 [ 1.02 %]\n", - "Levels : 0.000265499 [ 0.17 %]\n", - "Report : 6.46e-07 [ 0.00 %]\n", - "Balance : 2.98e-07 [ 0.00 %]\n", - "Adjust : 0.0677396 [ 42.66 %]\n", - "Total : 0.158776 [100.00 %]\n", + "Drift : 0.000250113 [ 0.01 %]\n", + "Velocity : 0.00154116 [ 0.04 %]\n", + "Force : 0.52848 [ 15.08 %]\n", + "Coefs : 2.26656 [ 64.69 %]\n", + "Output : 0.000870751 [ 0.02 %]\n", + "Levels : 0.000166758 [ 0.00 %]\n", + "Report : 2.74e-07 [ 0.00 %]\n", + "Balance : 1.34e-07 [ 0.00 %]\n", + "Adjust : 0.705651 [ 20.14 %]\n", + "Total : 3.50355 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5823 636 346 158 179 \n", - "1 : 5813 631 378 153 167 \n", - "2 : 5780 626 415 153 168 \n", - "3 : 5823 605 387 144 183 \n", - "4 : 5768 625 383 166 200 \n", - "5 : 5850 638 362 137 155 \n", - "6 : 5844 609 340 162 187 \n", - "7 : 5804 605 364 193 176 \n", - "8 : 5815 649 357 162 159 \n", - "9 : 5802 639 336 176 189 \n", - "10 : 5783 685 349 157 168 \n", - "11 : 5735 697 358 166 186 \n", - "12 : 5824 619 345 168 186 \n", - "13 : 5816 665 359 151 163 \n", + "0 : 5801 753 347 117 124 \n", + "1 : 5805 728 356 107 146 \n", + "2 : 5779 708 365 129 161 \n", + "3 : 5837 683 351 126 145 \n", + "4 : 5819 715 351 129 128 \n", + "5 : 5880 706 323 107 126 \n", + "6 : 5873 677 351 116 125 \n", + "7 : 5812 731 343 124 132 \n", + "8 : 5830 700 346 116 150 \n", + "9 : 5815 713 368 128 118 \n", + "10 : 5834 712 354 116 126 \n", + "11 : 5770 765 357 129 121 \n", + "12 : 5845 715 359 104 119 \n", + "13 : 5852 710 348 112 132 \n", "\n", - "T : 81280 8929 5079 2246 2466 [100000]\n", + "T : 81552 10016 4919 1660 1853 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 1.0600e-02 sec\n", - "--- Collate = 6.1599e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 2.1%\n", + "--- Update = 4.9733e-02 sec\n", + "--- Collate = 5.0088e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.384935e-07 < 6.250000e-03 [1455]\n", - "--- Max DT=2.439144e+00 > 1.000000e-01 [69692]\n", + "--- Min DT=6.192631e-07 < 6.250000e-03 [1103]\n", + "--- Max DT=2.765525e+00 > 1.000000e-01 [67958]\n", "----------------------------------------------------------------------\n", - " Component | low: 1455/100000\n", - " Component | high: 69692/100000\n", + " Component | low: 1103/100000\n", + " Component | high: 67958/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=87] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00134847 [ 0.82 %]\n", - "Velocity : 0.00461592 [ 2.79 %]\n", - "Force : 0.0607978 [ 36.79 %]\n", - "Coefs : 0.0228616 [ 13.83 %]\n", - "Output : 0.00700199 [ 4.24 %]\n", - "Levels : 0.000331157 [ 0.20 %]\n", - "Report : 7.88e-07 [ 0.00 %]\n", - "Balance : 5.15e-07 [ 0.00 %]\n", - "Adjust : 0.0682371 [ 41.29 %]\n", - "Total : 0.165252 [100.00 %]\n", + "Drift : 0.000351217 [ 0.01 %]\n", + "Velocity : 0.00135638 [ 0.04 %]\n", + "Force : 0.502199 [ 16.39 %]\n", + "Coefs : 1.90451 [ 62.14 %]\n", + "Output : 0.00370473 [ 0.12 %]\n", + "Levels : 0.000151001 [ 0.00 %]\n", + "Report : 4.73e-07 [ 0.00 %]\n", + "Balance : 2.89e-07 [ 0.00 %]\n", + "Adjust : 0.652554 [ 21.29 %]\n", + "Total : 3.06485 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5822 640 347 151 182 \n", - "1 : 5822 627 369 158 166 \n", - "2 : 5781 624 401 168 168 \n", - "3 : 5824 611 384 142 181 \n", - "4 : 5772 630 371 173 196 \n", - "5 : 5853 635 358 141 155 \n", - "6 : 5841 607 341 171 182 \n", - "7 : 5803 608 365 189 177 \n", - "8 : 5815 660 349 158 160 \n", - "9 : 5796 649 336 167 194 \n", - "10 : 5780 686 347 170 159 \n", - "11 : 5743 683 369 151 196 \n", - "12 : 5826 623 342 165 186 \n", - "13 : 5814 668 353 159 160 \n", + "0 : 5803 749 347 113 130 \n", + "1 : 5805 726 361 109 141 \n", + "2 : 5783 694 372 138 155 \n", + "3 : 5834 681 358 123 146 \n", + "4 : 5813 721 348 132 128 \n", + "5 : 5880 707 322 102 131 \n", + "6 : 5874 677 349 116 126 \n", + "7 : 5813 731 344 124 130 \n", + "8 : 5830 692 353 121 146 \n", + "9 : 5817 712 361 138 114 \n", + "10 : 5833 715 344 118 132 \n", + "11 : 5770 770 351 123 128 \n", + "12 : 5851 702 365 100 124 \n", + "13 : 5848 714 345 109 138 \n", "\n", - "T : 81292 8951 5032 2263 2462 [100000]\n", + "T : 81554 9991 4920 1666 1869 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", - "--- Adj/Tot = 1.8%\n", - "--- Update = 1.0462e-02 sec\n", - "--- Collate = 5.4343e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 2.8734e-02 sec\n", + "--- Collate = 3.0149e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.055742e-06 < 6.250000e-03 [1453]\n", - "--- Max DT=2.445953e+00 > 1.000000e-01 [69687]\n", + "--- Min DT=8.655118e-06 < 6.250000e-03 [1135]\n", + "--- Max DT=2.772491e+00 > 1.000000e-01 [67951]\n", "----------------------------------------------------------------------\n", - " Component | low: 1453/100000\n", - " Component | high: 69687/100000\n", + " Component | low: 1135/100000\n", + " Component | high: 67951/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=87.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00142222 [ 0.83 %]\n", - "Velocity : 0.00477059 [ 2.78 %]\n", - "Force : 0.0648321 [ 37.73 %]\n", - "Coefs : 0.0238894 [ 13.90 %]\n", - "Output : 0.00180351 [ 1.05 %]\n", - "Levels : 0.000275569 [ 0.16 %]\n", - "Report : 6.93e-07 [ 0.00 %]\n", - "Balance : 4.08e-07 [ 0.00 %]\n", - "Adjust : 0.0747891 [ 43.52 %]\n", - "Total : 0.171845 [100.00 %]\n", - "----------------------------------------------------------------------\n", - "\n", - "----------------------------------------------------------------------\n", - "--- Level info--------------------------------------------------------\n", - "----------------------------------------------------------------------\n", - "0 : 5825 641 338 150 188 \n", - "1 : 5820 631 361 163 167 \n", - "2 : 5776 635 395 169 167 \n", - "3 : 5823 613 377 154 175 \n", - "4 : 5781 624 367 182 188 \n", - "5 : 5852 640 358 140 152 \n", - "6 : 5836 612 336 176 182 \n", - "7 : 5798 613 366 186 179 \n", - "8 : 5813 663 342 160 164 \n", - "9 : 5794 651 328 168 201 \n", - "10 : 5775 676 366 161 164 \n", - "11 : 5735 685 377 159 186 \n", - "12 : 5824 624 347 162 185 \n", - "13 : 5816 663 353 167 155 \n", - "\n", - "T : 81268 8971 5011 2297 2453 [100000]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00432712 [ 0.12 %]\n", + "Velocity : 0.00386532 [ 0.11 %]\n", + "Force : 0.629703 [ 17.11 %]\n", + "Coefs : 2.32316 [ 63.12 %]\n", + "Output : 0.000588399 [ 0.02 %]\n", + "Levels : 0.000154271 [ 0.00 %]\n", + "Report : 5.09e-07 [ 0.00 %]\n", + "Balance : 1.72e-07 [ 0.00 %]\n", + "Adjust : 0.718891 [ 19.53 %]\n", + "Total : 3.68072 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5799 750 343 121 129 \n", + "1 : 5807 731 356 100 148 \n", + "2 : 5782 693 374 144 149 \n", + "3 : 5836 686 342 131 147 \n", + "4 : 5817 719 348 129 129 \n", + "5 : 5878 710 316 103 135 \n", + "6 : 5874 675 352 109 132 \n", + "7 : 5817 721 350 129 125 \n", + "8 : 5831 699 345 122 145 \n", + "9 : 5825 712 350 131 124 \n", + "10 : 5835 708 353 115 131 \n", + "11 : 5774 764 355 116 133 \n", + "12 : 5856 705 358 109 114 \n", + "13 : 5850 709 347 109 139 \n", + "\n", + "T : 81581 9982 4889 1668 1880 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.0320e-02 sec\n", - "--- Collate = 1.0449e-04 sec\n", + "--- Coef/DT = 21.3%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 4.4384e-02 sec\n", + "--- Collate = 8.4118e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.151993e-06 < 6.250000e-03 [1484]\n", - "--- Max DT=2.452764e+00 > 1.000000e-01 [69680]\n", + "--- Min DT=6.852091e-06 < 6.250000e-03 [1131]\n", + "--- Max DT=2.779460e+00 > 1.000000e-01 [67942]\n", "----------------------------------------------------------------------\n", - " Component | low: 1484/100000\n", - " Component | high: 69680/100000\n", + " Component | low: 1131/100000\n", + " Component | high: 67942/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=87.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00137828 [ 0.78 %]\n", - "Velocity : 0.0048224 [ 2.73 %]\n", - "Force : 0.0625517 [ 35.35 %]\n", - "Coefs : 0.0310306 [ 17.53 %]\n", - "Output : 0.0018173 [ 1.03 %]\n", - "Levels : 0.000314035 [ 0.18 %]\n", - "Report : 5.82e-07 [ 0.00 %]\n", - "Balance : 3.49e-07 [ 0.00 %]\n", - "Adjust : 0.0749883 [ 42.37 %]\n", - "Total : 0.176964 [100.00 %]\n", + "Drift : 0.000295503 [ 0.01 %]\n", + "Velocity : 0.00155698 [ 0.05 %]\n", + "Force : 0.477879 [ 15.40 %]\n", + "Coefs : 1.93983 [ 62.52 %]\n", + "Output : 0.000780936 [ 0.03 %]\n", + "Levels : 0.000295874 [ 0.01 %]\n", + "Report : 9.77e-07 [ 0.00 %]\n", + "Balance : 4.17e-07 [ 0.00 %]\n", + "Adjust : 0.682027 [ 21.98 %]\n", + "Total : 3.10271 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5820 636 350 144 192 \n", - "1 : 5819 634 362 159 168 \n", - "2 : 5780 634 395 175 158 \n", - "3 : 5821 613 378 160 170 \n", - "4 : 5783 625 379 168 187 \n", - "5 : 5854 638 363 133 154 \n", - "6 : 5840 596 349 172 185 \n", - "7 : 5801 616 369 167 189 \n", - "8 : 5810 665 342 143 182 \n", - "9 : 5793 647 336 175 191 \n", - "10 : 5774 674 370 174 150 \n", - "11 : 5742 679 377 168 176 \n", - "12 : 5827 617 361 157 180 \n", - "13 : 5817 664 354 169 150 \n", + "0 : 5800 752 343 121 126 \n", + "1 : 5806 726 365 101 144 \n", + "2 : 5776 703 367 149 147 \n", + "3 : 5834 691 333 139 145 \n", + "4 : 5820 713 346 130 133 \n", + "5 : 5878 703 322 104 135 \n", + "6 : 5872 673 353 107 137 \n", + "7 : 5818 729 341 128 126 \n", + "8 : 5835 700 341 121 145 \n", + "9 : 5827 713 349 126 127 \n", + "10 : 5833 715 350 115 129 \n", + "11 : 5774 762 352 117 137 \n", + "12 : 5853 709 359 101 120 \n", + "13 : 5846 710 348 110 140 \n", "\n", - "T : 81281 8938 5085 2264 2432 [100000]\n", + "T : 81572 9999 4869 1669 1891 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.6%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.0317e-02 sec\n", - "--- Collate = 7.5671e-05 sec\n", + "--- Coef/DT = 11.1%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 7.0534e-02 sec\n", + "--- Collate = 8.0276e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.605186e-07 < 6.250000e-03 [1493]\n", - "--- Max DT=2.459577e+00 > 1.000000e-01 [69674]\n", + "--- Min DT=1.113035e-05 < 6.250000e-03 [1141]\n", + "--- Max DT=2.786431e+00 > 1.000000e-01 [67920]\n", "----------------------------------------------------------------------\n", - " Component | low: 1493/100000\n", - " Component | high: 69674/100000\n", + " Component | low: 1141/100000\n", + " Component | high: 67920/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=87.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00121234 [ 0.75 %]\n", - "Velocity : 0.00440214 [ 2.72 %]\n", - "Force : 0.0608877 [ 37.63 %]\n", - "Coefs : 0.0235952 [ 14.58 %]\n", - "Output : 0.00155092 [ 0.96 %]\n", - "Levels : 0.000267284 [ 0.17 %]\n", - "Report : 8.4e-07 [ 0.00 %]\n", - "Balance : 3.12e-07 [ 0.00 %]\n", - "Adjust : 0.0698336 [ 43.16 %]\n", - "Total : 0.161812 [100.00 %]\n", + "Drift : 0.000556686 [ 0.02 %]\n", + "Velocity : 0.00232077 [ 0.06 %]\n", + "Force : 0.649396 [ 17.57 %]\n", + "Coefs : 2.17898 [ 58.94 %]\n", + "Output : 0.00125186 [ 0.03 %]\n", + "Levels : 0.000243659 [ 0.01 %]\n", + "Report : 5.99e-07 [ 0.00 %]\n", + "Balance : 2.68e-07 [ 0.00 %]\n", + "Adjust : 0.863869 [ 23.37 %]\n", + "Total : 3.69668 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5819 636 353 146 188 \n", - "1 : 5818 636 359 154 175 \n", - "2 : 5781 637 386 176 162 \n", - "3 : 5822 619 376 146 179 \n", - "4 : 5782 630 387 147 196 \n", - "5 : 5850 647 354 138 153 \n", - "6 : 5841 593 355 168 185 \n", - "7 : 5796 623 377 159 187 \n", - "8 : 5808 671 332 150 181 \n", - "9 : 5796 642 342 165 197 \n", - "10 : 5779 668 367 170 158 \n", - "11 : 5743 681 366 176 176 \n", - "12 : 5821 620 363 149 189 \n", - "13 : 5819 662 358 156 159 \n", + "0 : 5798 755 339 121 129 \n", + "1 : 5812 724 360 101 145 \n", + "2 : 5777 700 374 136 155 \n", + "3 : 5837 682 343 137 143 \n", + "4 : 5818 716 350 122 136 \n", + "5 : 5884 696 323 103 136 \n", + "6 : 5874 672 345 119 132 \n", + "7 : 5818 723 355 124 122 \n", + "8 : 5832 706 332 131 141 \n", + "9 : 5832 703 354 121 132 \n", + "10 : 5825 722 352 111 132 \n", + "11 : 5772 759 352 122 137 \n", + "12 : 5851 715 355 97 124 \n", + "13 : 5850 701 353 112 138 \n", "\n", - "T : 81275 8965 5075 2200 2485 [100000]\n", + "T : 81580 9974 4887 1657 1902 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.5%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 9.2809e-03 sec\n", - "--- Collate = 6.9566e-05 sec\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 4.6030e-02 sec\n", + "--- Collate = 5.9982e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.671396e-06 < 6.250000e-03 [1504]\n", - "--- Max DT=2.466393e+00 > 1.000000e-01 [69653]\n", + "--- Min DT=6.418572e-06 < 6.250000e-03 [1129]\n", + "--- Max DT=2.793404e+00 > 1.000000e-01 [67905]\n", "----------------------------------------------------------------------\n", - " Component | low: 1504/100000\n", - " Component | high: 69653/100000\n", + " Component | low: 1129/100000\n", + " Component | high: 67905/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=87.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00147505 [ 0.91 %]\n", - "Velocity : 0.00462893 [ 2.87 %]\n", - "Force : 0.061272 [ 37.93 %]\n", - "Coefs : 0.0232673 [ 14.40 %]\n", - "Output : 0.00167828 [ 1.04 %]\n", - "Levels : 0.000251037 [ 0.16 %]\n", - "Report : 5.08e-07 [ 0.00 %]\n", - "Balance : 2.52e-07 [ 0.00 %]\n", - "Adjust : 0.0688992 [ 42.65 %]\n", - "Total : 0.161532 [100.00 %]\n", + "Drift : 0.000612876 [ 0.02 %]\n", + "Velocity : 0.00303866 [ 0.09 %]\n", + "Force : 0.554752 [ 17.16 %]\n", + "Coefs : 1.9881 [ 61.50 %]\n", + "Output : 0.00118864 [ 0.04 %]\n", + "Levels : 0.000251541 [ 0.01 %]\n", + "Report : 7.52e-07 [ 0.00 %]\n", + "Balance : 2.55e-07 [ 0.00 %]\n", + "Adjust : 0.684586 [ 21.18 %]\n", + "Total : 3.23258 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5816 636 357 149 184 \n", - "1 : 5817 642 352 161 170 \n", - "2 : 5779 643 376 173 171 \n", - "3 : 5822 618 384 141 177 \n", - "4 : 5785 621 395 144 197 \n", - "5 : 5852 648 348 151 143 \n", - "6 : 5843 586 366 161 186 \n", - "7 : 5794 625 376 157 190 \n", - "8 : 5803 668 332 154 185 \n", - "9 : 5797 642 344 169 190 \n", - "10 : 5775 671 375 158 163 \n", - "11 : 5738 680 378 166 180 \n", - "12 : 5819 631 358 146 188 \n", - "13 : 5825 647 368 145 169 \n", + "0 : 5800 760 339 109 134 \n", + "1 : 5807 736 348 105 146 \n", + "2 : 5773 699 377 133 160 \n", + "3 : 5841 675 347 135 144 \n", + "4 : 5817 719 343 133 130 \n", + "5 : 5874 702 321 115 130 \n", + "6 : 5868 679 341 116 138 \n", + "7 : 5821 717 358 120 126 \n", + "8 : 5832 709 335 122 144 \n", + "9 : 5833 702 358 115 134 \n", + "10 : 5823 713 361 117 128 \n", + "11 : 5772 753 351 126 140 \n", + "12 : 5846 721 354 96 125 \n", + "13 : 5842 713 348 121 130 \n", "\n", - "T : 81265 8958 5109 2175 2493 [100000]\n", + "T : 81549 9998 4881 1663 1909 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.4%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 1.0078e-02 sec\n", - "--- Collate = 5.9199e-05 sec\n", + "--- Coef/DT = 41.4%\n", + "--- Adj/Tot = 2.1%\n", + "--- Update = 7.6486e-02 sec\n", + "--- Collate = 1.0033e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.523723e-06 < 6.250000e-03 [1521]\n", - "--- Max DT=2.473212e+00 > 1.000000e-01 [69650]\n", + "--- Min DT=2.062230e-06 < 6.250000e-03 [1111]\n", + "--- Max DT=2.800379e+00 > 1.000000e-01 [67890]\n", "----------------------------------------------------------------------\n", - " Component | low: 1521/100000\n", - " Component | high: 69650/100000\n", + " Component | low: 1111/100000\n", + " Component | high: 67890/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=87.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00142102 [ 0.88 %]\n", - "Velocity : 0.00444046 [ 2.75 %]\n", - "Force : 0.06102 [ 37.76 %]\n", - "Coefs : 0.0228853 [ 14.16 %]\n", - "Output : 0.00159408 [ 0.99 %]\n", - "Levels : 0.000257156 [ 0.16 %]\n", - "Report : 5.26e-07 [ 0.00 %]\n", - "Balance : 2.87e-07 [ 0.00 %]\n", - "Adjust : 0.0699413 [ 43.28 %]\n", - "Total : 0.16162 [100.00 %]\n", + "Drift : 0.000527642 [ 0.02 %]\n", + "Velocity : 0.00215984 [ 0.07 %]\n", + "Force : 0.51406 [ 16.17 %]\n", + "Coefs : 1.92509 [ 60.55 %]\n", + "Output : 0.00140785 [ 0.04 %]\n", + "Levels : 0.000268129 [ 0.01 %]\n", + "Report : 8.11e-07 [ 0.00 %]\n", + "Balance : 2.31e-07 [ 0.00 %]\n", + "Adjust : 0.7359 [ 23.15 %]\n", + "Total : 3.17947 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5813 639 356 157 177 \n", - "1 : 5824 633 355 159 171 \n", - "2 : 5781 637 386 167 171 \n", - "3 : 5816 625 373 155 173 \n", - "4 : 5790 611 400 151 190 \n", - "5 : 5855 647 348 138 154 \n", - "6 : 5846 570 372 163 191 \n", - "7 : 5794 629 359 170 190 \n", - "8 : 5807 663 324 157 191 \n", - "9 : 5796 639 357 157 193 \n", - "10 : 5774 675 370 161 162 \n", - "11 : 5742 672 383 156 189 \n", - "12 : 5822 631 356 148 185 \n", - "13 : 5827 649 363 146 169 \n", + "0 : 5799 761 340 110 132 \n", + "1 : 5813 736 335 105 153 \n", + "2 : 5767 705 372 144 154 \n", + "3 : 5844 675 342 132 149 \n", + "4 : 5811 726 336 136 133 \n", + "5 : 5878 700 327 107 130 \n", + "6 : 5868 683 343 117 131 \n", + "7 : 5820 720 357 116 129 \n", + "8 : 5837 706 336 121 142 \n", + "9 : 5830 700 360 118 134 \n", + "10 : 5823 711 359 120 129 \n", + "11 : 5771 747 357 133 134 \n", + "12 : 5851 718 341 110 122 \n", + "13 : 5845 712 334 138 125 \n", "\n", - "T : 81287 8920 5102 2185 2506 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81557 10000 4839 1707 1897 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.4%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 1.0288e-02 sec\n", - "--- Collate = 7.2078e-05 sec\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 2.1%\n", + "--- Update = 7.7049e-02 sec\n", + "--- Collate = 8.0226e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.406580e-07 < 6.250000e-03 [1490]\n", - "--- Max DT=2.480032e+00 > 1.000000e-01 [69647]\n", + "--- Min DT=1.168036e-06 < 6.250000e-03 [1103]\n", + "--- Max DT=2.807357e+00 > 1.000000e-01 [67894]\n", "----------------------------------------------------------------------\n", - " Component | low: 1490/100000\n", - " Component | high: 69647/100000\n", + " Component | low: 1103/100000\n", + " Component | high: 67894/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=87.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00133015 [ 0.83 %]\n", - "Velocity : 0.00443411 [ 2.77 %]\n", - "Force : 0.0602374 [ 37.63 %]\n", - "Coefs : 0.0225054 [ 14.06 %]\n", - "Output : 0.00212842 [ 1.33 %]\n", - "Levels : 0.000415784 [ 0.26 %]\n", - "Report : 9.32e-07 [ 0.00 %]\n", - "Balance : 3.14e-07 [ 0.00 %]\n", - "Adjust : 0.0689773 [ 43.09 %]\n", - "Total : 0.160086 [100.00 %]\n", + "Drift : 0.000538447 [ 0.01 %]\n", + "Velocity : 0.00258937 [ 0.07 %]\n", + "Force : 0.625393 [ 17.07 %]\n", + "Coefs : 2.21811 [ 60.56 %]\n", + "Output : 0.00118466 [ 0.03 %]\n", + "Levels : 0.000294739 [ 0.01 %]\n", + "Report : 9.19e-07 [ 0.00 %]\n", + "Balance : 3.56e-07 [ 0.00 %]\n", + "Adjust : 0.81447 [ 22.24 %]\n", + "Total : 3.66263 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5814 641 357 159 171 \n", - "1 : 5834 622 356 166 164 \n", - "2 : 5777 641 373 173 178 \n", - "3 : 5815 627 370 151 179 \n", - "4 : 5789 613 400 152 188 \n", - "5 : 5855 652 335 139 161 \n", - "6 : 5844 572 373 160 193 \n", - "7 : 5789 640 353 175 185 \n", - "8 : 5807 661 328 151 195 \n", - "9 : 5803 631 368 152 188 \n", - "10 : 5778 674 357 174 159 \n", - "11 : 5748 661 385 162 186 \n", - "12 : 5818 632 347 161 184 \n", - "13 : 5828 649 361 146 170 \n", + "0 : 5798 766 331 115 132 \n", + "1 : 5808 743 343 107 141 \n", + "2 : 5773 703 366 151 149 \n", + "3 : 5841 681 345 131 144 \n", + "4 : 5811 720 346 139 126 \n", + "5 : 5878 698 328 111 127 \n", + "6 : 5866 684 348 116 128 \n", + "7 : 5818 718 360 126 120 \n", + "8 : 5836 709 337 118 142 \n", + "9 : 5835 700 357 111 139 \n", + "10 : 5830 707 345 126 134 \n", + "11 : 5772 750 359 127 134 \n", + "12 : 5854 714 343 102 129 \n", + "13 : 5842 710 345 124 133 \n", "\n", - "T : 81299 8916 5063 2221 2501 [100000]\n", + "T : 81562 10003 4853 1704 1878 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.2%\n", - "--- Adj/Tot = 1.5%\n", - "--- Update = 9.8541e-03 sec\n", - "--- Collate = 6.5505e-05 sec\n", + "--- Coef/DT = 26.9%\n", + "--- Adj/Tot = 2.2%\n", + "--- Update = 4.6563e-02 sec\n", + "--- Collate = 7.0252e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.474256e-07 < 6.250000e-03 [1467]\n", - "--- Max DT=2.486855e+00 > 1.000000e-01 [69615]\n", + "--- Min DT=4.950764e-06 < 6.250000e-03 [1119]\n", + "--- Max DT=2.814336e+00 > 1.000000e-01 [67878]\n", "----------------------------------------------------------------------\n", - " Component | low: 1467/100000\n", - " Component | high: 69615/100000\n", + " Component | low: 1119/100000\n", + " Component | high: 67878/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=87.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00131697 [ 0.84 %]\n", - "Velocity : 0.00440312 [ 2.81 %]\n", - "Force : 0.0598707 [ 38.20 %]\n", - "Coefs : 0.0224633 [ 14.33 %]\n", - "Output : 0.00148276 [ 0.95 %]\n", - "Levels : 0.00022192 [ 0.14 %]\n", - "Report : 5.85e-07 [ 0.00 %]\n", - "Balance : 2.23e-07 [ 0.00 %]\n", - "Adjust : 0.0669245 [ 42.70 %]\n", - "Total : 0.156738 [100.00 %]\n", + "Drift : 0.000788512 [ 0.02 %]\n", + "Velocity : 0.00227603 [ 0.06 %]\n", + "Force : 0.623438 [ 16.74 %]\n", + "Coefs : 2.37854 [ 63.86 %]\n", + "Output : 0.000892502 [ 0.02 %]\n", + "Levels : 0.000233115 [ 0.01 %]\n", + "Report : 8.49e-07 [ 0.00 %]\n", + "Balance : 3.53e-07 [ 0.00 %]\n", + "Adjust : 0.718261 [ 19.28 %]\n", + "Total : 3.72448 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5814 643 359 152 174 \n", - "1 : 5830 627 351 165 169 \n", - "2 : 5774 640 373 174 181 \n", - "3 : 5811 631 368 155 177 \n", - "4 : 5782 623 391 159 187 \n", - "5 : 5853 651 340 131 167 \n", - "6 : 5842 571 371 169 189 \n", - "7 : 5787 645 348 174 188 \n", - "8 : 5808 661 330 144 199 \n", - "9 : 5805 631 373 147 186 \n", - "10 : 5775 667 357 177 166 \n", - "11 : 5741 668 383 168 182 \n", - "12 : 5819 628 350 159 186 \n", - "13 : 5827 644 361 161 161 \n", + "0 : 5798 772 322 118 132 \n", + "1 : 5807 736 348 111 140 \n", + "2 : 5773 703 367 155 144 \n", + "3 : 5842 678 349 129 144 \n", + "4 : 5812 723 343 137 127 \n", + "5 : 5876 697 329 120 120 \n", + "6 : 5866 692 337 114 133 \n", + "7 : 5817 721 355 137 112 \n", + "8 : 5837 708 339 121 137 \n", + "9 : 5836 698 357 106 145 \n", + "10 : 5827 706 352 120 137 \n", + "11 : 5776 746 365 117 138 \n", + "12 : 5856 714 346 108 118 \n", + "13 : 5840 712 343 128 131 \n", "\n", - "T : 81268 8930 5055 2235 2512 [100000]\n", + "T : 81563 10006 4852 1721 1858 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.4%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 1.0351e-02 sec\n", - "--- Collate = 7.0444e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 9.1222e-02 sec\n", + "--- Collate = 1.3028e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.739199e-07 < 6.250000e-03 [1457]\n", - "--- Max DT=2.493680e+00 > 1.000000e-01 [69618]\n", + "--- Min DT=1.199512e-05 < 6.250000e-03 [1088]\n", + "--- Max DT=2.821318e+00 > 1.000000e-01 [67882]\n", "----------------------------------------------------------------------\n", - " Component | low: 1457/100000\n", - " Component | high: 69618/100000\n", + " Component | low: 1088/100000\n", + " Component | high: 67882/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=87.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00134143 [ 0.82 %]\n", - "Velocity : 0.0044273 [ 2.71 %]\n", - "Force : 0.0603916 [ 36.93 %]\n", - "Coefs : 0.0230348 [ 14.09 %]\n", - "Output : 0.00169052 [ 1.03 %]\n", - "Levels : 0.000227205 [ 0.14 %]\n", - "Report : 7.82e-07 [ 0.00 %]\n", - "Balance : 2.75e-07 [ 0.00 %]\n", - "Adjust : 0.0723441 [ 44.24 %]\n", - "Total : 0.163512 [100.00 %]\n", + "Drift : 0.000717793 [ 0.02 %]\n", + "Velocity : 0.00245751 [ 0.06 %]\n", + "Force : 0.65516 [ 16.40 %]\n", + "Coefs : 2.52614 [ 63.22 %]\n", + "Output : 0.000920576 [ 0.02 %]\n", + "Levels : 0.000246499 [ 0.01 %]\n", + "Report : 7.96e-07 [ 0.00 %]\n", + "Balance : 4.88e-07 [ 0.00 %]\n", + "Adjust : 0.80982 [ 20.27 %]\n", + "Total : 3.99551 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5810 651 357 156 168 \n", - "1 : 5829 628 353 151 181 \n", - "2 : 5775 642 371 169 185 \n", - "3 : 5808 638 358 165 173 \n", - "4 : 5779 635 380 162 186 \n", - "5 : 5847 654 342 134 165 \n", - "6 : 5838 580 362 176 186 \n", - "7 : 5785 647 347 168 195 \n", - "8 : 5809 662 332 149 190 \n", - "9 : 5805 636 371 149 181 \n", - "10 : 5776 665 351 186 164 \n", - "11 : 5746 654 390 170 182 \n", - "12 : 5823 627 353 164 175 \n", - "13 : 5825 646 367 146 170 \n", + "0 : 5795 776 320 126 125 \n", + "1 : 5804 736 349 116 137 \n", + "2 : 5774 698 378 143 149 \n", + "3 : 5841 676 340 144 141 \n", + "4 : 5811 717 354 130 130 \n", + "5 : 5877 702 313 132 118 \n", + "6 : 5871 684 333 114 140 \n", + "7 : 5818 720 358 144 102 \n", + "8 : 5839 699 347 119 138 \n", + "9 : 5837 696 354 105 150 \n", + "10 : 5834 694 353 124 137 \n", + "11 : 5779 746 359 120 138 \n", + "12 : 5861 709 351 101 120 \n", + "13 : 5839 712 342 128 133 \n", "\n", - "T : 81255 8965 5034 2245 2501 [100000]\n", + "T : 81580 9965 4851 1746 1858 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.3%\n", - "--- Adj/Tot = 1.8%\n", - "--- Update = 1.0205e-02 sec\n", - "--- Collate = 6.5931e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 5.0561e-02 sec\n", + "--- Collate = 4.0403e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.780524e-07 < 6.250000e-03 [1462]\n", - "--- Max DT=2.500508e+00 > 1.000000e-01 [69593]\n", + "--- Min DT=1.036348e-06 < 6.250000e-03 [1111]\n", + "--- Max DT=2.828302e+00 > 1.000000e-01 [67877]\n", "----------------------------------------------------------------------\n", - " Component | low: 1462/100000\n", - " Component | high: 69593/100000\n", + " Component | low: 1111/100000\n", + " Component | high: 67877/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=87.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00104868 [ 0.65 %]\n", - "Velocity : 0.00548853 [ 3.41 %]\n", - "Force : 0.0601869 [ 37.42 %]\n", - "Coefs : 0.0223853 [ 13.92 %]\n", - "Output : 0.00213965 [ 1.33 %]\n", - "Levels : 0.000247535 [ 0.15 %]\n", - "Report : 8.76e-07 [ 0.00 %]\n", - "Balance : 3.1e-07 [ 0.00 %]\n", - "Adjust : 0.0692519 [ 43.06 %]\n", - "Total : 0.160837 [100.00 %]\n", + "Drift : 0.00074586 [ 0.02 %]\n", + "Velocity : 0.0024534 [ 0.06 %]\n", + "Force : 0.758856 [ 19.04 %]\n", + "Coefs : 2.48766 [ 62.40 %]\n", + "Output : 0.00101151 [ 0.03 %]\n", + "Levels : 0.00026034 [ 0.01 %]\n", + "Report : 7.64e-07 [ 0.00 %]\n", + "Balance : 2.96e-07 [ 0.00 %]\n", + "Adjust : 0.735413 [ 18.45 %]\n", + "Total : 3.98645 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5810 648 368 153 163 \n", - "1 : 5831 623 363 139 186 \n", - "2 : 5775 644 365 177 181 \n", - "3 : 5810 641 343 174 174 \n", - "4 : 5781 629 387 160 185 \n", - "5 : 5848 655 341 130 168 \n", - "6 : 5837 585 362 170 188 \n", - "7 : 5788 639 354 166 195 \n", - "8 : 5814 652 325 150 201 \n", - "9 : 5804 637 371 156 174 \n", - "10 : 5773 669 354 183 163 \n", - "11 : 5745 655 397 170 175 \n", - "12 : 5824 618 368 153 179 \n", - "13 : 5825 642 360 156 171 \n", + "0 : 5802 752 339 129 120 \n", + "1 : 5800 735 354 119 134 \n", + "2 : 5773 700 374 142 153 \n", + "3 : 5841 679 343 134 145 \n", + "4 : 5811 720 355 124 132 \n", + "5 : 5879 693 324 123 123 \n", + "6 : 5866 684 342 121 129 \n", + "7 : 5816 724 353 139 110 \n", + "8 : 5842 703 346 115 136 \n", + "9 : 5846 689 352 112 143 \n", + "10 : 5834 690 348 130 140 \n", + "11 : 5779 741 362 113 147 \n", + "12 : 5863 710 349 104 116 \n", + "13 : 5844 698 350 125 137 \n", "\n", - "T : 81265 8937 5058 2237 2503 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81596 9918 4891 1730 1865 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.3%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 1.0150e-02 sec\n", - "--- Collate = 6.1437e-05 sec\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 6.7605e-02 sec\n", + "--- Collate = 1.0041e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.464385e-06 < 6.250000e-03 [1489]\n", - "--- Max DT=2.507338e+00 > 1.000000e-01 [69566]\n", + "--- Min DT=1.112695e-05 < 6.250000e-03 [1119]\n", + "--- Max DT=2.835287e+00 > 1.000000e-01 [67844]\n", "----------------------------------------------------------------------\n", - " Component | low: 1489/100000\n", - " Component | high: 69566/100000\n", + " Component | low: 1119/100000\n", + " Component | high: 67844/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=88] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00137389 [ 0.82 %]\n", - "Velocity : 0.00443621 [ 2.65 %]\n", - "Force : 0.0608883 [ 36.31 %]\n", - "Coefs : 0.0227213 [ 13.55 %]\n", - "Output : 0.00729609 [ 4.35 %]\n", - "Levels : 0.000292495 [ 0.17 %]\n", - "Report : 1.479e-06 [ 0.00 %]\n", - "Balance : 8.54e-07 [ 0.00 %]\n", - "Adjust : 0.0706063 [ 42.10 %]\n", - "Total : 0.167707 [100.00 %]\n", + "Drift : 0.000658173 [ 0.02 %]\n", + "Velocity : 0.00227355 [ 0.07 %]\n", + "Force : 0.493074 [ 15.27 %]\n", + "Coefs : 1.95349 [ 60.52 %]\n", + "Output : 0.00925703 [ 0.29 %]\n", + "Levels : 0.000244633 [ 0.01 %]\n", + "Report : 9.77e-07 [ 0.00 %]\n", + "Balance : 4.22e-07 [ 0.00 %]\n", + "Adjust : 0.769037 [ 23.82 %]\n", + "Total : 3.22809 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5805 656 368 151 162 \n", - "1 : 5830 617 379 137 179 \n", - "2 : 5776 642 362 177 185 \n", - "3 : 5804 639 353 172 174 \n", - "4 : 5782 637 365 167 191 \n", - "5 : 5849 656 336 136 165 \n", - "6 : 5835 587 362 173 185 \n", - "7 : 5790 633 362 163 194 \n", - "8 : 5817 640 333 147 205 \n", - "9 : 5808 634 375 154 171 \n", - "10 : 5773 672 355 176 166 \n", - "11 : 5749 656 386 163 188 \n", - "12 : 5824 620 372 155 171 \n", - "13 : 5833 633 368 160 160 \n", + "0 : 5803 749 343 119 128 \n", + "1 : 5794 742 358 113 135 \n", + "2 : 5777 696 387 127 155 \n", + "3 : 5841 682 338 146 135 \n", + "4 : 5809 723 351 123 136 \n", + "5 : 5873 695 341 110 123 \n", + "6 : 5868 672 353 121 128 \n", + "7 : 5817 719 354 142 110 \n", + "8 : 5848 694 351 114 135 \n", + "9 : 5848 672 364 115 143 \n", + "10 : 5835 683 356 123 145 \n", + "11 : 5781 735 360 117 149 \n", + "12 : 5868 703 344 109 118 \n", + "13 : 5841 702 347 134 130 \n", "\n", - "T : 81275 8922 5076 2231 2496 [100000]\n", + "T : 81603 9867 4947 1713 1870 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 9.9275e-03 sec\n", - "--- Collate = 6.8261e-05 sec\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 5.4563e-02 sec\n", + "--- Collate = 7.0302e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.404200e-06 < 6.250000e-03 [1478]\n", - "--- Max DT=2.514170e+00 > 1.000000e-01 [69548]\n", + "--- Min DT=1.259105e-07 < 6.250000e-03 [1136]\n", + "--- Max DT=2.842275e+00 > 1.000000e-01 [67833]\n", "----------------------------------------------------------------------\n", - " Component | low: 1478/100000\n", - " Component | high: 69548/100000\n", + " Component | low: 1136/100000\n", + " Component | high: 67833/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=88.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00139584 [ 0.87 %]\n", - "Velocity : 0.00452371 [ 2.80 %]\n", - "Force : 0.0608682 [ 37.73 %]\n", - "Coefs : 0.0235375 [ 14.59 %]\n", - "Output : 0.00173145 [ 1.07 %]\n", - "Levels : 0.000249661 [ 0.15 %]\n", - "Report : 8.2e-07 [ 0.00 %]\n", - "Balance : 2.81e-07 [ 0.00 %]\n", - "Adjust : 0.0689543 [ 42.74 %]\n", - "Total : 0.161321 [100.00 %]\n", + "Drift : 0.000708015 [ 0.02 %]\n", + "Velocity : 0.00236495 [ 0.05 %]\n", + "Force : 0.661851 [ 15.24 %]\n", + "Coefs : 2.72251 [ 62.69 %]\n", + "Output : 0.00116372 [ 0.03 %]\n", + "Levels : 0.00116004 [ 0.03 %]\n", + "Report : 1.055e-06 [ 0.00 %]\n", + "Balance : 6.98e-07 [ 0.00 %]\n", + "Adjust : 0.953292 [ 21.95 %]\n", + "Total : 4.34311 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5807 650 380 137 168 \n", - "1 : 5827 621 374 141 179 \n", - "2 : 5776 644 370 177 175 \n", - "3 : 5799 641 363 158 181 \n", - "4 : 5783 635 365 170 189 \n", - "5 : 5848 650 349 132 163 \n", - "6 : 5834 584 365 168 191 \n", - "7 : 5793 634 358 156 201 \n", - "8 : 5817 633 337 157 198 \n", - "9 : 5801 647 365 166 163 \n", - "10 : 5775 666 358 178 165 \n", - "11 : 5751 654 379 184 174 \n", - "12 : 5823 618 374 155 172 \n", - "13 : 5828 631 369 162 164 \n", + "0 : 5802 750 346 113 131 \n", + "1 : 5788 749 344 128 133 \n", + "2 : 5779 700 382 126 155 \n", + "3 : 5845 687 332 141 137 \n", + "4 : 5814 716 353 123 136 \n", + "5 : 5876 703 329 115 119 \n", + "6 : 5867 666 361 119 129 \n", + "7 : 5811 736 336 150 109 \n", + "8 : 5856 688 347 122 129 \n", + "9 : 5852 668 356 127 139 \n", + "10 : 5832 680 367 117 146 \n", + "11 : 5777 748 349 123 145 \n", + "12 : 5868 698 349 114 113 \n", + "13 : 5841 701 348 129 135 \n", "\n", - "T : 81262 8908 5106 2241 2483 [100000]\n", + "T : 81608 9890 4899 1747 1856 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.0028e-02 sec\n", - "--- Collate = 7.2493e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 3.2476e-02 sec\n", + "--- Collate = 7.0153e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.323268e-06 < 6.250000e-03 [1470]\n", - "--- Max DT=2.521005e+00 > 1.000000e-01 [69532]\n", + "--- Min DT=3.856233e-06 < 6.250000e-03 [1148]\n", + "--- Max DT=2.849266e+00 > 1.000000e-01 [67824]\n", "----------------------------------------------------------------------\n", - " Component | low: 1470/100000\n", - " Component | high: 69532/100000\n", + " Component | low: 1148/100000\n", + " Component | high: 67824/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=88.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00147559 [ 0.92 %]\n", - "Velocity : 0.00439184 [ 2.74 %]\n", - "Force : 0.0607604 [ 37.84 %]\n", - "Coefs : 0.0223664 [ 13.93 %]\n", - "Output : 0.00181834 [ 1.13 %]\n", - "Levels : 0.000223335 [ 0.14 %]\n", - "Report : 7.65e-07 [ 0.00 %]\n", - "Balance : 2.7e-07 [ 0.00 %]\n", - "Adjust : 0.0694887 [ 43.27 %]\n", - "Total : 0.160578 [100.00 %]\n", + "Drift : 0.000698893 [ 0.02 %]\n", + "Velocity : 0.00228183 [ 0.07 %]\n", + "Force : 0.5027 [ 16.47 %]\n", + "Coefs : 1.92796 [ 63.18 %]\n", + "Output : 0.00148137 [ 0.05 %]\n", + "Levels : 0.000245466 [ 0.01 %]\n", + "Report : 9.9e-07 [ 0.00 %]\n", + "Balance : 3.46e-07 [ 0.00 %]\n", + "Adjust : 0.616117 [ 20.19 %]\n", + "Total : 3.05153 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5807 643 390 137 165 \n", - "1 : 5833 611 375 147 176 \n", - "2 : 5774 643 389 163 173 \n", - "3 : 5797 639 367 160 179 \n", - "4 : 5784 638 366 168 186 \n", - "5 : 5849 643 355 130 165 \n", - "6 : 5838 581 367 168 188 \n", - "7 : 5798 631 353 172 188 \n", - "8 : 5814 633 331 153 211 \n", - "9 : 5796 650 363 182 151 \n", - "10 : 5775 663 368 173 163 \n", - "11 : 5751 649 391 171 180 \n", - "12 : 5824 610 387 152 169 \n", - "13 : 5828 632 364 164 166 \n", + "0 : 5809 741 354 102 136 \n", + "1 : 5789 744 348 123 138 \n", + "2 : 5782 696 382 129 153 \n", + "3 : 5846 684 325 147 140 \n", + "4 : 5821 712 354 119 136 \n", + "5 : 5874 708 327 125 108 \n", + "6 : 5869 660 363 120 130 \n", + "7 : 5817 717 354 135 119 \n", + "8 : 5861 685 332 133 131 \n", + "9 : 5842 672 359 136 133 \n", + "10 : 5833 675 371 117 146 \n", + "11 : 5782 745 346 122 147 \n", + "12 : 5876 689 351 116 110 \n", + "13 : 5840 691 358 123 142 \n", "\n", - "T : 81268 8866 5166 2240 2460 [100000]\n", + "T : 81641 9819 4924 1747 1869 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 1.8%\n", - "--- Update = 1.0178e-02 sec\n", - "--- Collate = 6.3265e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 5.8595e-02 sec\n", + "--- Collate = 7.0340e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.830439e-06 < 6.250000e-03 [1497]\n", - "--- Max DT=2.527842e+00 > 1.000000e-01 [69533]\n", + "--- Min DT=1.592374e-06 < 6.250000e-03 [1132]\n", + "--- Max DT=2.856258e+00 > 1.000000e-01 [67796]\n", "----------------------------------------------------------------------\n", - " Component | low: 1497/100000\n", - " Component | high: 69533/100000\n", + " Component | low: 1132/100000\n", + " Component | high: 67796/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=88.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00106003 [ 0.66 %]\n", - "Velocity : 0.0049978 [ 3.09 %]\n", - "Force : 0.0604665 [ 37.43 %]\n", - "Coefs : 0.0221065 [ 13.68 %]\n", - "Output : 0.00184583 [ 1.14 %]\n", - "Levels : 0.000221506 [ 0.14 %]\n", - "Report : 9.01e-07 [ 0.00 %]\n", - "Balance : 2.73e-07 [ 0.00 %]\n", - "Adjust : 0.0707967 [ 43.82 %]\n", - "Total : 0.16155 [100.00 %]\n", + "Drift : 0.000724516 [ 0.02 %]\n", + "Velocity : 0.00213867 [ 0.07 %]\n", + "Force : 0.508878 [ 16.23 %]\n", + "Coefs : 1.95111 [ 62.24 %]\n", + "Output : 0.00145135 [ 0.05 %]\n", + "Levels : 0.000511753 [ 0.02 %]\n", + "Report : 1.161e-06 [ 0.00 %]\n", + "Balance : 7.56e-07 [ 0.00 %]\n", + "Adjust : 0.669752 [ 21.37 %]\n", + "Total : 3.13462 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5810 630 408 129 165 \n", - "1 : 5837 613 356 162 174 \n", - "2 : 5780 633 390 157 182 \n", - "3 : 5802 632 368 164 176 \n", - "4 : 5776 645 363 179 179 \n", - "5 : 5851 634 358 134 165 \n", - "6 : 5828 584 371 171 188 \n", - "7 : 5797 635 347 182 181 \n", - "8 : 5814 632 330 150 216 \n", - "9 : 5799 643 368 176 156 \n", - "10 : 5782 657 372 167 164 \n", - "11 : 5757 642 395 165 183 \n", - "12 : 5828 602 394 147 171 \n", - "13 : 5822 638 362 170 162 \n", + "0 : 5804 746 351 112 129 \n", + "1 : 5795 742 346 117 142 \n", + "2 : 5786 690 393 129 144 \n", + "3 : 5846 700 313 143 140 \n", + "4 : 5819 713 354 117 139 \n", + "5 : 5881 706 325 123 107 \n", + "6 : 5864 668 359 120 131 \n", + "7 : 5818 727 342 138 117 \n", + "8 : 5865 680 328 141 128 \n", + "9 : 5840 668 360 132 142 \n", + "10 : 5834 676 367 115 150 \n", + "11 : 5778 746 345 125 148 \n", + "12 : 5874 691 338 127 112 \n", + "13 : 5837 699 354 120 144 \n", "\n", - "T : 81283 8820 5182 2253 2462 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81641 9852 4875 1759 1873 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.6%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.0376e-02 sec\n", - "--- Collate = 1.0217e-04 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 5.3069e-02 sec\n", + "--- Collate = 8.0245e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.637980e-06 < 6.250000e-03 [1471]\n", - "--- Max DT=2.534681e+00 > 1.000000e-01 [69507]\n", + "--- Min DT=1.556945e-06 < 6.250000e-03 [1133]\n", + "--- Max DT=2.863252e+00 > 1.000000e-01 [67796]\n", "----------------------------------------------------------------------\n", - " Component | low: 1471/100000\n", - " Component | high: 69507/100000\n", + " Component | low: 1133/100000\n", + " Component | high: 67796/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=88.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0013071 [ 0.81 %]\n", - "Velocity : 0.00442875 [ 2.75 %]\n", - "Force : 0.0602051 [ 37.38 %]\n", - "Coefs : 0.0230376 [ 14.30 %]\n", - "Output : 0.00183617 [ 1.14 %]\n", - "Levels : 0.000371312 [ 0.23 %]\n", - "Report : 8.13e-07 [ 0.00 %]\n", - "Balance : 2.97e-07 [ 0.00 %]\n", - "Adjust : 0.0698197 [ 43.35 %]\n", - "Total : 0.16106 [100.00 %]\n", + "Drift : 0.000530776 [ 0.01 %]\n", + "Velocity : 0.00282397 [ 0.07 %]\n", + "Force : 0.652358 [ 17.11 %]\n", + "Coefs : 2.37403 [ 62.28 %]\n", + "Output : 0.00124266 [ 0.03 %]\n", + "Levels : 0.00027175 [ 0.01 %]\n", + "Report : 1.061e-06 [ 0.00 %]\n", + "Balance : 4.32e-07 [ 0.00 %]\n", + "Adjust : 0.78056 [ 20.48 %]\n", + "Total : 3.81187 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5805 636 406 130 165 \n", - "1 : 5840 617 347 161 177 \n", - "2 : 5780 633 397 148 184 \n", - "3 : 5803 628 368 175 168 \n", - "4 : 5777 648 364 177 176 \n", - "5 : 5852 631 359 141 159 \n", - "6 : 5828 579 376 164 195 \n", - "7 : 5794 634 354 176 184 \n", - "8 : 5808 636 339 142 217 \n", - "9 : 5800 642 367 166 167 \n", - "10 : 5783 661 366 162 170 \n", - "11 : 5753 642 406 161 180 \n", - "12 : 5828 604 389 155 166 \n", - "13 : 5823 637 370 159 165 \n", + "0 : 5801 747 361 103 130 \n", + "1 : 5793 745 348 116 140 \n", + "2 : 5783 701 391 121 146 \n", + "3 : 5847 707 307 134 147 \n", + "4 : 5824 709 364 106 139 \n", + "5 : 5882 707 319 133 101 \n", + "6 : 5867 664 362 123 126 \n", + "7 : 5816 742 340 122 122 \n", + "8 : 5857 686 336 129 134 \n", + "9 : 5843 664 358 127 150 \n", + "10 : 5830 679 364 120 149 \n", + "11 : 5779 747 351 116 149 \n", + "12 : 5869 699 336 124 114 \n", + "13 : 5831 713 350 119 141 \n", "\n", - "T : 81274 8828 5208 2217 2473 [100000]\n", + "T : 81622 9910 4887 1693 1888 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.6%\n", + "--- Coef/DT = 1.2%\n", "--- Adj/Tot = 1.8%\n", - "--- Update = 1.0016e-02 sec\n", - "--- Collate = 6.8442e-05 sec\n", + "--- Update = 7.5252e-02 sec\n", + "--- Collate = 1.3028e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.716636e-06 < 6.250000e-03 [1450]\n", - "--- Max DT=2.541523e+00 > 1.000000e-01 [69485]\n", + "--- Min DT=3.319686e-06 < 6.250000e-03 [1125]\n", + "--- Max DT=2.870249e+00 > 1.000000e-01 [67798]\n", "----------------------------------------------------------------------\n", - " Component | low: 1450/100000\n", - " Component | high: 69485/100000\n", + " Component | low: 1125/100000\n", + " Component | high: 67798/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=88.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00130369 [ 0.83 %]\n", - "Velocity : 0.00446152 [ 2.83 %]\n", - "Force : 0.0595147 [ 37.81 %]\n", - "Coefs : 0.0228851 [ 14.54 %]\n", - "Output : 0.00168691 [ 1.07 %]\n", - "Levels : 0.000585699 [ 0.37 %]\n", - "Report : 8.22e-07 [ 0.00 %]\n", - "Balance : 2.51e-07 [ 0.00 %]\n", - "Adjust : 0.0669203 [ 42.51 %]\n", - "Total : 0.157411 [100.00 %]\n", + "Drift : 0.000485375 [ 0.01 %]\n", + "Velocity : 0.00257544 [ 0.07 %]\n", + "Force : 0.64103 [ 16.19 %]\n", + "Coefs : 2.4194 [ 61.12 %]\n", + "Output : 0.00134518 [ 0.03 %]\n", + "Levels : 0.000277827 [ 0.01 %]\n", + "Report : 5.57e-07 [ 0.00 %]\n", + "Balance : 2.41e-07 [ 0.00 %]\n", + "Adjust : 0.893103 [ 22.56 %]\n", + "Total : 3.95826 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5806 639 392 147 158 \n", - "1 : 5840 614 344 165 179 \n", - "2 : 5780 633 393 146 190 \n", - "3 : 5800 639 362 173 168 \n", - "4 : 5774 644 374 171 179 \n", - "5 : 5852 641 346 142 161 \n", - "6 : 5829 578 378 154 203 \n", - "7 : 5802 625 352 187 176 \n", - "8 : 5808 633 340 148 213 \n", - "9 : 5803 632 375 168 164 \n", - "10 : 5786 653 377 148 178 \n", - "11 : 5755 637 408 161 181 \n", - "12 : 5824 610 387 153 168 \n", - "13 : 5827 637 364 157 169 \n", + "0 : 5797 759 351 104 131 \n", + "1 : 5795 746 343 124 134 \n", + "2 : 5785 706 383 115 153 \n", + "3 : 5844 709 308 128 153 \n", + "4 : 5821 720 348 111 142 \n", + "5 : 5879 704 328 127 104 \n", + "6 : 5861 662 364 120 135 \n", + "7 : 5819 736 341 124 122 \n", + "8 : 5857 686 334 133 132 \n", + "9 : 5847 659 358 124 154 \n", + "10 : 5833 677 360 124 148 \n", + "11 : 5773 757 348 119 145 \n", + "12 : 5875 698 325 129 115 \n", + "13 : 5828 713 351 122 140 \n", "\n", - "T : 81286 8815 5192 2220 2487 [100000]\n", + "T : 81614 9932 4842 1704 1908 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.3%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 9.8615e-03 sec\n", - "--- Collate = 6.7502e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 5.5500e-02 sec\n", + "--- Collate = 1.1014e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.283352e-06 < 6.250000e-03 [1453]\n", - "--- Max DT=2.548367e+00 > 1.000000e-01 [69460]\n", + "--- Min DT=1.927948e-06 < 6.250000e-03 [1119]\n", + "--- Max DT=2.877247e+00 > 1.000000e-01 [67795]\n", "----------------------------------------------------------------------\n", - " Component | low: 1453/100000\n", - " Component | high: 69460/100000\n", + " Component | low: 1119/100000\n", + " Component | high: 67795/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=88.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00129044 [ 0.81 %]\n", - "Velocity : 0.00441257 [ 2.76 %]\n", - "Force : 0.0607396 [ 37.97 %]\n", - "Coefs : 0.0223932 [ 14.00 %]\n", - "Output : 0.00215209 [ 1.35 %]\n", - "Levels : 0.000217313 [ 0.14 %]\n", - "Report : 5.73e-07 [ 0.00 %]\n", - "Balance : 3.05e-07 [ 0.00 %]\n", - "Adjust : 0.0686979 [ 42.95 %]\n", - "Total : 0.159956 [100.00 %]\n", + "Drift : 0.000564631 [ 0.02 %]\n", + "Velocity : 0.00242778 [ 0.07 %]\n", + "Force : 0.640395 [ 17.88 %]\n", + "Coefs : 2.27766 [ 63.60 %]\n", + "Output : 0.00110903 [ 0.03 %]\n", + "Levels : 0.000252133 [ 0.01 %]\n", + "Report : 8.99e-07 [ 0.00 %]\n", + "Balance : 2.22e-07 [ 0.00 %]\n", + "Adjust : 0.659044 [ 18.40 %]\n", + "Total : 3.58151 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5803 651 370 166 152 \n", - "1 : 5841 610 336 184 171 \n", - "2 : 5779 640 370 168 185 \n", - "3 : 5805 639 363 171 164 \n", - "4 : 5781 632 378 172 179 \n", - "5 : 5856 630 352 154 150 \n", - "6 : 5831 581 366 162 202 \n", - "7 : 5806 623 349 187 177 \n", - "8 : 5812 625 341 154 210 \n", - "9 : 5809 625 372 170 166 \n", - "10 : 5786 657 377 137 185 \n", - "11 : 5756 643 396 167 180 \n", - "12 : 5829 612 383 156 162 \n", - "13 : 5832 628 365 165 164 \n", + "0 : 5797 761 345 101 138 \n", + "1 : 5803 732 353 124 130 \n", + "2 : 5786 710 375 118 153 \n", + "3 : 5840 707 319 121 155 \n", + "4 : 5826 708 345 124 139 \n", + "5 : 5874 717 318 131 102 \n", + "6 : 5860 661 364 118 139 \n", + "7 : 5816 736 340 124 126 \n", + "8 : 5856 691 335 126 134 \n", + "9 : 5847 656 357 125 157 \n", + "10 : 5836 680 353 130 143 \n", + "11 : 5774 755 340 123 150 \n", + "12 : 5872 699 325 130 116 \n", + "13 : 5827 716 351 119 141 \n", "\n", - "T : 81326 8796 5118 2313 2447 [100000]\n", + "T : 81614 9929 4820 1714 1923 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.3%\n", - "--- Adj/Tot = 1.8%\n", - "--- Update = 9.6186e-03 sec\n", - "--- Collate = 6.7197e-05 sec\n", + "--- Coef/DT = 30.5%\n", + "--- Adj/Tot = 2.1%\n", + "--- Update = 6.5546e-02 sec\n", + "--- Collate = 3.5014e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.188923e-06 < 6.250000e-03 [1459]\n", - "--- Max DT=2.555213e+00 > 1.000000e-01 [69434]\n", + "--- Min DT=3.761790e-07 < 6.250000e-03 [1143]\n", + "--- Max DT=2.884248e+00 > 1.000000e-01 [67772]\n", "----------------------------------------------------------------------\n", - " Component | low: 1459/100000\n", - " Component | high: 69434/100000\n", + " Component | low: 1143/100000\n", + " Component | high: 67772/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=88.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00127818 [ 0.83 %]\n", - "Velocity : 0.00428639 [ 2.78 %]\n", - "Force : 0.058734 [ 38.09 %]\n", - "Coefs : 0.0222466 [ 14.43 %]\n", - "Output : 0.00158698 [ 1.03 %]\n", - "Levels : 0.000218593 [ 0.14 %]\n", - "Report : 5.52e-07 [ 0.00 %]\n", - "Balance : 2.51e-07 [ 0.00 %]\n", - "Adjust : 0.0657874 [ 42.67 %]\n", - "Total : 0.15419 [100.00 %]\n", + "Drift : 0.00074556 [ 0.02 %]\n", + "Velocity : 0.00242385 [ 0.07 %]\n", + "Force : 0.611315 [ 16.48 %]\n", + "Coefs : 2.36137 [ 63.64 %]\n", + "Output : 0.00109337 [ 0.03 %]\n", + "Levels : 0.000223275 [ 0.01 %]\n", + "Report : 7e-07 [ 0.00 %]\n", + "Balance : 2.4e-07 [ 0.00 %]\n", + "Adjust : 0.733287 [ 19.76 %]\n", + "Total : 3.71051 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5810 642 371 171 148 \n", - "1 : 5842 608 337 184 171 \n", - "2 : 5776 642 367 174 183 \n", - "3 : 5805 640 368 167 162 \n", - "4 : 5783 621 392 173 173 \n", - "5 : 5855 619 366 151 151 \n", - "6 : 5833 583 371 158 197 \n", - "7 : 5810 626 344 188 174 \n", - "8 : 5814 618 344 163 203 \n", - "9 : 5812 612 383 167 168 \n", - "10 : 5782 653 372 143 192 \n", - "11 : 5752 653 396 164 177 \n", - "12 : 5830 607 386 166 153 \n", - "13 : 5828 627 367 161 171 \n", + "0 : 5798 759 347 103 135 \n", + "1 : 5807 728 352 127 128 \n", + "2 : 5785 711 367 134 145 \n", + "3 : 5840 715 308 126 153 \n", + "4 : 5828 710 341 128 135 \n", + "5 : 5868 728 323 117 106 \n", + "6 : 5866 658 361 112 145 \n", + "7 : 5824 725 338 128 127 \n", + "8 : 5852 688 336 135 131 \n", + "9 : 5841 664 364 122 151 \n", + "10 : 5835 678 361 124 144 \n", + "11 : 5778 740 351 128 145 \n", + "12 : 5876 692 330 125 119 \n", + "13 : 5834 705 353 119 143 \n", "\n", - "T : 81332 8751 5164 2330 2423 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81632 9901 4832 1728 1907 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.2%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 9.6448e-03 sec\n", - "--- Collate = 6.3704e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 5.0554e-02 sec\n", + "--- Collate = 6.0330e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.441066e-07 < 6.250000e-03 [1454]\n", - "--- Max DT=2.562061e+00 > 1.000000e-01 [69422]\n", + "--- Min DT=3.240970e-06 < 6.250000e-03 [1168]\n", + "--- Max DT=2.891250e+00 > 1.000000e-01 [67790]\n", "----------------------------------------------------------------------\n", - " Component | low: 1454/100000\n", - " Component | high: 69422/100000\n", + " Component | low: 1168/100000\n", + " Component | high: 67790/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=88.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00127728 [ 0.83 %]\n", - "Velocity : 0.00417579 [ 2.71 %]\n", - "Force : 0.0588046 [ 38.12 %]\n", - "Coefs : 0.0220738 [ 14.31 %]\n", - "Output : 0.00152862 [ 0.99 %]\n", - "Levels : 0.000213348 [ 0.14 %]\n", - "Report : 7.68e-07 [ 0.00 %]\n", - "Balance : 2.66e-07 [ 0.00 %]\n", - "Adjust : 0.0661421 [ 42.88 %]\n", - "Total : 0.154267 [100.00 %]\n", + "Drift : 0.000779779 [ 0.02 %]\n", + "Velocity : 0.00248385 [ 0.06 %]\n", + "Force : 0.727894 [ 17.50 %]\n", + "Coefs : 2.64378 [ 63.56 %]\n", + "Output : 0.00103123 [ 0.02 %]\n", + "Levels : 0.00026149 [ 0.01 %]\n", + "Report : 6.13e-07 [ 0.00 %]\n", + "Balance : 2.35e-07 [ 0.00 %]\n", + "Adjust : 0.783414 [ 18.83 %]\n", + "Total : 4.1597 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5808 640 366 173 155 \n", - "1 : 5839 609 342 180 172 \n", - "2 : 5779 632 371 177 183 \n", - "3 : 5805 642 353 177 165 \n", - "4 : 5788 617 390 166 181 \n", - "5 : 5852 618 375 145 152 \n", - "6 : 5836 576 380 155 195 \n", - "7 : 5807 629 345 191 170 \n", - "8 : 5812 614 361 144 211 \n", - "9 : 5811 609 388 166 168 \n", - "10 : 5777 661 367 144 193 \n", - "11 : 5754 661 386 157 184 \n", - "12 : 5832 599 392 167 152 \n", - "13 : 5827 625 368 156 178 \n", + "0 : 5796 759 337 115 135 \n", + "1 : 5806 723 361 129 123 \n", + "2 : 5782 714 360 143 143 \n", + "3 : 5844 716 309 123 150 \n", + "4 : 5832 702 340 129 139 \n", + "5 : 5868 725 329 115 105 \n", + "6 : 5864 664 352 118 144 \n", + "7 : 5818 726 336 122 140 \n", + "8 : 5856 682 339 130 135 \n", + "9 : 5836 678 353 122 153 \n", + "10 : 5837 674 361 140 130 \n", + "11 : 5775 743 345 122 157 \n", + "12 : 5882 688 322 131 119 \n", + "13 : 5835 710 339 117 153 \n", "\n", - "T : 81327 8732 5184 2298 2459 [100000]\n", + "T : 81631 9904 4783 1756 1926 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.6%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.0305e-02 sec\n", - "--- Collate = 7.6969e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 4.9564e-02 sec\n", + "--- Collate = 3.0475e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.211221e-06 < 6.250000e-03 [1441]\n", - "--- Max DT=2.568912e+00 > 1.000000e-01 [69395]\n", + "--- Min DT=1.825380e-08 < 6.250000e-03 [1162]\n", + "--- Max DT=2.898255e+00 > 1.000000e-01 [67795]\n", "----------------------------------------------------------------------\n", - " Component | low: 1441/100000\n", - " Component | high: 69395/100000\n", + " Component | low: 1162/100000\n", + " Component | high: 67795/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=88.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00130053 [ 0.82 %]\n", - "Velocity : 0.00436669 [ 2.76 %]\n", - "Force : 0.059466 [ 37.65 %]\n", - "Coefs : 0.0221723 [ 14.04 %]\n", - "Output : 0.00159828 [ 1.01 %]\n", - "Levels : 0.000255163 [ 0.16 %]\n", - "Report : 7.51e-07 [ 0.00 %]\n", - "Balance : 3.9e-07 [ 0.00 %]\n", - "Adjust : 0.0687175 [ 43.51 %]\n", - "Total : 0.157932 [100.00 %]\n", + "Drift : 0.000505215 [ 0.02 %]\n", + "Velocity : 0.00205635 [ 0.06 %]\n", + "Force : 0.531828 [ 16.28 %]\n", + "Coefs : 2.13191 [ 65.25 %]\n", + "Output : 0.00106295 [ 0.03 %]\n", + "Levels : 0.00025969 [ 0.01 %]\n", + "Report : 6.86e-07 [ 0.00 %]\n", + "Balance : 2.62e-07 [ 0.00 %]\n", + "Adjust : 0.59985 [ 18.36 %]\n", + "Total : 3.26753 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5815 634 365 164 164 \n", - "1 : 5834 606 367 166 169 \n", - "2 : 5780 627 361 191 183 \n", - "3 : 5806 646 352 171 167 \n", - "4 : 5784 628 386 157 187 \n", - "5 : 5850 613 379 133 167 \n", - "6 : 5829 583 374 160 196 \n", - "7 : 5807 630 351 182 172 \n", - "8 : 5810 610 357 159 206 \n", - "9 : 5806 618 382 165 171 \n", - "10 : 5783 654 367 153 185 \n", - "11 : 5758 658 385 158 183 \n", - "12 : 5831 596 406 156 153 \n", - "13 : 5825 624 377 151 177 \n", + "0 : 5792 762 339 121 128 \n", + "1 : 5805 729 355 132 121 \n", + "2 : 5782 719 359 135 147 \n", + "3 : 5840 716 311 123 152 \n", + "4 : 5830 705 344 123 140 \n", + "5 : 5868 727 316 118 113 \n", + "6 : 5867 657 353 124 141 \n", + "7 : 5822 727 331 126 136 \n", + "8 : 5851 686 337 126 142 \n", + "9 : 5830 685 356 116 155 \n", + "10 : 5832 679 367 132 132 \n", + "11 : 5777 740 350 119 156 \n", + "12 : 5879 689 323 128 123 \n", + "13 : 5828 715 340 127 144 \n", "\n", - "T : 81318 8727 5209 2266 2480 [100000]\n", + "T : 81603 9936 4781 1750 1930 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", - "--- Adj/Tot = 1.6%\n", - "--- Update = 1.0484e-02 sec\n", - "--- Collate = 8.2335e-05 sec\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 5.2064e-02 sec\n", + "--- Collate = 1.5365e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.585367e-06 < 6.250000e-03 [1436]\n", - "--- Max DT=2.575765e+00 > 1.000000e-01 [69388]\n", + "--- Min DT=9.001271e-06 < 6.250000e-03 [1183]\n", + "--- Max DT=2.905262e+00 > 1.000000e-01 [67775]\n", "----------------------------------------------------------------------\n", - " Component | low: 1436/100000\n", - " Component | high: 69388/100000\n", + " Component | low: 1183/100000\n", + " Component | high: 67775/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=89] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00140906 [ 0.69 %]\n", - "Velocity : 0.00498382 [ 2.44 %]\n", - "Force : 0.0625621 [ 30.67 %]\n", - "Coefs : 0.038311 [ 18.78 %]\n", - "Output : 0.00685802 [ 3.36 %]\n", - "Levels : 0.000284078 [ 0.14 %]\n", - "Report : 1.337e-06 [ 0.00 %]\n", - "Balance : 8.02e-07 [ 0.00 %]\n", - "Adjust : 0.0895199 [ 43.88 %]\n", - "Total : 0.203994 [100.00 %]\n", + "Drift : 0.00074498 [ 0.02 %]\n", + "Velocity : 0.00266855 [ 0.07 %]\n", + "Force : 0.62742 [ 16.22 %]\n", + "Coefs : 2.38284 [ 61.60 %]\n", + "Output : 0.0129239 [ 0.33 %]\n", + "Levels : 0.000266599 [ 0.01 %]\n", + "Report : 1.092e-06 [ 0.00 %]\n", + "Balance : 4.6e-07 [ 0.00 %]\n", + "Adjust : 0.84139 [ 21.75 %]\n", + "Total : 3.86831 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5817 631 362 170 162 \n", - "1 : 5831 613 362 165 171 \n", - "2 : 5779 630 363 172 198 \n", - "3 : 5810 648 348 161 175 \n", - "4 : 5782 624 396 158 182 \n", - "5 : 5851 611 378 133 169 \n", - "6 : 5832 580 382 148 200 \n", - "7 : 5798 639 352 178 175 \n", - "8 : 5809 610 361 167 195 \n", - "9 : 5806 624 378 159 175 \n", - "10 : 5784 647 374 159 178 \n", - "11 : 5757 657 386 157 185 \n", - "12 : 5835 602 400 148 157 \n", - "13 : 5822 627 375 154 176 \n", + "0 : 5796 754 341 129 122 \n", + "1 : 5799 739 355 129 120 \n", + "2 : 5780 720 360 127 155 \n", + "3 : 5840 709 324 121 148 \n", + "4 : 5828 713 339 116 146 \n", + "5 : 5870 720 317 118 117 \n", + "6 : 5865 657 347 131 142 \n", + "7 : 5816 729 332 125 140 \n", + "8 : 5847 681 338 131 145 \n", + "9 : 5831 689 350 123 149 \n", + "10 : 5833 677 360 132 140 \n", + "11 : 5782 730 355 116 159 \n", + "12 : 5880 685 316 127 134 \n", + "13 : 5824 708 345 135 142 \n", "\n", - "T : 81313 8743 5217 2229 2498 [100000]\n", + "T : 81591 9911 4779 1760 1959 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 1.0454e-02 sec\n", - "--- Collate = 8.1411e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 5.8480e-02 sec\n", + "--- Collate = 1.1034e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.015963e-06 < 6.250000e-03 [1502]\n", - "--- Max DT=2.582621e+00 > 1.000000e-01 [69389]\n", + "--- Min DT=9.605262e-07 < 6.250000e-03 [1203]\n", + "--- Max DT=2.912271e+00 > 1.000000e-01 [67779]\n", "----------------------------------------------------------------------\n", - " Component | low: 1502/100000\n", - " Component | high: 69389/100000\n", + " Component | low: 1203/100000\n", + " Component | high: 67779/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=89.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00111747 [ 0.63 %]\n", - "Velocity : 0.00542159 [ 3.05 %]\n", - "Force : 0.0722447 [ 40.66 %]\n", - "Coefs : 0.0235035 [ 13.23 %]\n", - "Output : 0.00158977 [ 0.89 %]\n", - "Levels : 0.000251011 [ 0.14 %]\n", - "Report : 8.03e-07 [ 0.00 %]\n", - "Balance : 3.13e-07 [ 0.00 %]\n", - "Adjust : 0.0734725 [ 41.35 %]\n", - "Total : 0.17769 [100.00 %]\n", + "Drift : 0.000481803 [ 0.01 %]\n", + "Velocity : 0.0020423 [ 0.06 %]\n", + "Force : 0.553209 [ 15.31 %]\n", + "Coefs : 2.29408 [ 63.49 %]\n", + "Output : 0.0011424 [ 0.03 %]\n", + "Levels : 0.000223113 [ 0.01 %]\n", + "Report : 9.33e-07 [ 0.00 %]\n", + "Balance : 3.87e-07 [ 0.00 %]\n", + "Adjust : 0.762326 [ 21.10 %]\n", + "Total : 3.61356 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5823 623 367 165 164 \n", - "1 : 5836 608 360 164 174 \n", - "2 : 5777 633 369 165 198 \n", - "3 : 5813 638 358 155 178 \n", - "4 : 5785 633 383 165 176 \n", - "5 : 5847 612 377 138 168 \n", - "6 : 5835 573 382 157 195 \n", - "7 : 5788 647 355 176 176 \n", - "8 : 5809 604 366 174 189 \n", - "9 : 5811 612 396 150 173 \n", - "10 : 5784 647 368 165 178 \n", - "11 : 5760 643 403 147 189 \n", - "12 : 5840 603 397 146 156 \n", - "13 : 5819 629 375 155 176 \n", + "0 : 5797 749 346 131 119 \n", + "1 : 5804 738 356 122 122 \n", + "2 : 5780 718 368 121 155 \n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3 : 5845 701 337 117 142 \n", + "4 : 5832 701 346 115 148 \n", + "5 : 5875 716 318 115 118 \n", + "6 : 5859 664 347 133 139 \n", + "7 : 5814 734 328 125 141 \n", + "8 : 5844 683 341 122 152 \n", + "9 : 5831 688 351 127 145 \n", + "10 : 5830 683 358 130 141 \n", + "11 : 5786 723 352 120 161 \n", + "12 : 5888 679 324 116 135 \n", + "13 : 5823 709 349 134 139 \n", "\n", - "T : 81327 8705 5256 2222 2490 [100000]\n", + "T : 81608 9886 4821 1728 1957 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 1.8%\n", - "--- Update = 1.0709e-02 sec\n", - "--- Collate = 1.0219e-04 sec\n", + "--- Coef/DT = 1.0%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 6.6558e-02 sec\n", + "--- Collate = 6.0195e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.419468e-06 < 6.250000e-03 [1525]\n", - "--- Max DT=2.589478e+00 > 1.000000e-01 [69390]\n", + "--- Min DT=5.398536e-06 < 6.250000e-03 [1208]\n", + "--- Max DT=2.919282e+00 > 1.000000e-01 [67774]\n", "----------------------------------------------------------------------\n", - " Component | low: 1525/100000\n", - " Component | high: 69390/100000\n", + " Component | low: 1208/100000\n", + " Component | high: 67774/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=89.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0013457 [ 0.79 %]\n", - "Velocity : 0.00476513 [ 2.81 %]\n", - "Force : 0.0625554 [ 36.90 %]\n", - "Coefs : 0.0227679 [ 13.43 %]\n", - "Output : 0.00184758 [ 1.09 %]\n", - "Levels : 0.000265235 [ 0.16 %]\n", - "Report : 9.12e-07 [ 0.00 %]\n", - "Balance : 4.1e-07 [ 0.00 %]\n", - "Adjust : 0.0759324 [ 44.79 %]\n", - "Total : 0.169534 [100.00 %]\n", + "Drift : 0.000458209 [ 0.01 %]\n", + "Velocity : 0.00158816 [ 0.05 %]\n", + "Force : 0.535307 [ 16.33 %]\n", + "Coefs : 2.04706 [ 62.45 %]\n", + "Output : 0.000779679 [ 0.02 %]\n", + "Levels : 0.000231041 [ 0.01 %]\n", + "Report : 8.15e-07 [ 0.00 %]\n", + "Balance : 3.76e-07 [ 0.00 %]\n", + "Adjust : 0.692206 [ 21.12 %]\n", + "Total : 3.27768 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5825 624 369 160 164 \n", - "1 : 5842 599 361 167 173 \n", - "2 : 5788 613 373 172 196 \n", - "3 : 5814 629 366 155 178 \n", - "4 : 5780 638 379 168 177 \n", - "5 : 5847 610 376 142 167 \n", - "6 : 5837 571 379 156 199 \n", - "7 : 5793 649 363 154 183 \n", - "8 : 5810 606 364 173 189 \n", - "9 : 5811 609 399 154 169 \n", - "10 : 5790 643 368 162 179 \n", - "11 : 5762 644 408 145 183 \n", - "12 : 5839 606 390 144 163 \n", - "13 : 5815 632 374 154 179 \n", + "0 : 5800 742 357 123 120 \n", + "1 : 5802 742 357 130 111 \n", + "2 : 5778 720 367 122 155 \n", + "3 : 5844 703 330 121 144 \n", + "4 : 5824 712 342 109 155 \n", + "5 : 5876 709 316 130 111 \n", + "6 : 5854 666 351 126 145 \n", + "7 : 5814 733 331 126 138 \n", + "8 : 5845 698 331 111 157 \n", + "9 : 5829 693 344 139 137 \n", + "10 : 5825 696 349 129 143 \n", + "11 : 5791 719 352 130 150 \n", + "12 : 5890 670 325 120 137 \n", + "13 : 5823 710 349 123 149 \n", "\n", - "T : 81353 8673 5269 2206 2499 [100000]\n", + "T : 81595 9913 4801 1739 1952 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 9.7379e-03 sec\n", - "--- Collate = 6.0706e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 5.0522e-02 sec\n", + "--- Collate = 1.2024e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.414928e-06 < 6.250000e-03 [1498]\n", - "--- Max DT=2.596338e+00 > 1.000000e-01 [69367]\n", + "--- Min DT=1.597091e-06 < 6.250000e-03 [1206]\n", + "--- Max DT=2.926295e+00 > 1.000000e-01 [67776]\n", "----------------------------------------------------------------------\n", - " Component | low: 1498/100000\n", - " Component | high: 69367/100000\n", + " Component | low: 1206/100000\n", + " Component | high: 67776/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=89.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00141889 [ 0.88 %]\n", - "Velocity : 0.00466041 [ 2.91 %]\n", - "Force : 0.061401 [ 38.30 %]\n", - "Coefs : 0.0233153 [ 14.54 %]\n", - "Output : 0.00160612 [ 1.00 %]\n", - "Levels : 0.000276213 [ 0.17 %]\n", - "Report : 5.96e-07 [ 0.00 %]\n", - "Balance : 3.33e-07 [ 0.00 %]\n", - "Adjust : 0.0676002 [ 42.16 %]\n", - "Total : 0.160335 [100.00 %]\n", + "Drift : 0.000528563 [ 0.02 %]\n", + "Velocity : 0.00204495 [ 0.06 %]\n", + "Force : 0.573966 [ 17.17 %]\n", + "Coefs : 2.0524 [ 61.40 %]\n", + "Output : 0.000830661 [ 0.02 %]\n", + "Levels : 0.000294318 [ 0.01 %]\n", + "Report : 8.07e-07 [ 0.00 %]\n", + "Balance : 1.98e-07 [ 0.00 %]\n", + "Adjust : 0.712564 [ 21.32 %]\n", + "Total : 3.34268 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5826 621 378 152 165 \n", - "1 : 5845 593 370 170 164 \n", - "2 : 5788 616 366 167 205 \n", - "3 : 5808 630 370 161 173 \n", - "4 : 5785 641 369 161 186 \n", - "5 : 5845 617 367 150 163 \n", - "6 : 5836 571 378 164 193 \n", - "7 : 5801 637 368 153 183 \n", - "8 : 5811 604 366 168 193 \n", - "9 : 5813 614 384 166 165 \n", - "10 : 5795 636 370 159 182 \n", - "11 : 5757 649 412 142 182 \n", - "12 : 5844 599 384 151 164 \n", - "13 : 5814 637 366 164 173 \n", + "0 : 5802 734 361 117 128 \n", + "1 : 5801 746 352 125 118 \n", + "2 : 5783 714 369 124 152 \n", + "3 : 5843 705 330 121 143 \n", + "4 : 5826 710 337 117 152 \n", + "5 : 5872 715 312 122 121 \n", + "6 : 5852 672 348 127 143 \n", + "7 : 5817 735 320 129 141 \n", + "8 : 5842 704 324 117 155 \n", + "9 : 5827 702 331 155 127 \n", + "10 : 5823 694 348 129 148 \n", + "11 : 5792 717 358 121 154 \n", + "12 : 5891 674 327 114 136 \n", + "13 : 5822 709 354 124 145 \n", "\n", - "T : 81368 8665 5248 2228 2491 [100000]\n", + "T : 81593 9931 4771 1742 1963 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.4%\n", - "--- Adj/Tot = 1.8%\n", - "--- Update = 1.0234e-02 sec\n", - "--- Collate = 6.3404e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 7.0542e-02 sec\n", + "--- Collate = 1.4043e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.630612e-06 < 6.250000e-03 [1476]\n", - "--- Max DT=2.603200e+00 > 1.000000e-01 [69349]\n", + "--- Min DT=3.435666e-06 < 6.250000e-03 [1187]\n", + "--- Max DT=2.933310e+00 > 1.000000e-01 [67767]\n", "----------------------------------------------------------------------\n", - " Component | low: 1476/100000\n", - " Component | high: 69349/100000\n", + " Component | low: 1187/100000\n", + " Component | high: 67767/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=89.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00131304 [ 0.83 %]\n", - "Velocity : 0.00471825 [ 2.97 %]\n", - "Force : 0.0596578 [ 37.54 %]\n", - "Coefs : 0.0223918 [ 14.09 %]\n", - "Output : 0.00165643 [ 1.04 %]\n", - "Levels : 0.000255782 [ 0.16 %]\n", - "Report : 7.92e-07 [ 0.00 %]\n", - "Balance : 3.55e-07 [ 0.00 %]\n", - "Adjust : 0.0688682 [ 43.34 %]\n", - "Total : 0.158916 [100.00 %]\n", + "Drift : 0.000510243 [ 0.01 %]\n", + "Velocity : 0.00208079 [ 0.06 %]\n", + "Force : 0.568941 [ 16.16 %]\n", + "Coefs : 2.2113 [ 62.81 %]\n", + "Output : 0.000942814 [ 0.03 %]\n", + "Levels : 0.000241151 [ 0.01 %]\n", + "Report : 5.65e-07 [ 0.00 %]\n", + "Balance : 2.93e-07 [ 0.00 %]\n", + "Adjust : 0.736622 [ 20.92 %]\n", + "Total : 3.52069 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5833 612 374 154 169 \n", - "1 : 5844 603 362 169 164 \n", - "2 : 5794 610 369 171 198 \n", - "3 : 5810 628 369 162 173 \n", - "4 : 5788 637 375 151 191 \n", - "5 : 5838 620 370 151 163 \n", - "6 : 5832 572 374 169 195 \n", - "7 : 5799 632 371 166 174 \n", - "8 : 5807 612 367 169 187 \n", - "9 : 5815 612 383 174 158 \n", - "10 : 5800 625 371 179 167 \n", - "11 : 5765 636 423 140 178 \n", - "12 : 5841 598 380 165 158 \n", - "13 : 5808 641 370 165 170 \n", + "0 : 5803 733 364 112 130 \n", + "1 : 5798 745 350 130 119 \n", + "2 : 5780 713 372 129 148 \n", + "3 : 5842 702 332 124 142 \n", + "4 : 5833 702 337 120 150 \n", + "5 : 5879 712 308 125 118 \n", + "6 : 5848 679 339 128 148 \n", + "7 : 5814 733 319 133 143 \n", + "8 : 5843 705 322 120 152 \n", + "9 : 5831 697 338 140 136 \n", + "10 : 5825 698 347 127 145 \n", + "11 : 5796 716 352 130 148 \n", + "12 : 5885 677 331 114 135 \n", + "13 : 5822 707 350 134 141 \n", "\n", - "T : 81374 8638 5258 2285 2445 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81599 9919 4761 1766 1955 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 9.6546e-03 sec\n", - "--- Collate = 8.4872e-05 sec\n", + "--- Coef/DT = 2.5%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 4.3576e-02 sec\n", + "--- Collate = 9.0436e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.788968e-07 < 6.250000e-03 [1464]\n", - "--- Max DT=2.610065e+00 > 1.000000e-01 [69329]\n", + "--- Min DT=6.610807e-07 < 6.250000e-03 [1167]\n", + "--- Max DT=2.940328e+00 > 1.000000e-01 [67761]\n", "----------------------------------------------------------------------\n", - " Component | low: 1464/100000\n", - " Component | high: 69329/100000\n", + " Component | low: 1167/100000\n", + " Component | high: 67761/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=89.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00138353 [ 0.87 %]\n", - "Velocity : 0.00440335 [ 2.78 %]\n", - "Force : 0.0596774 [ 37.72 %]\n", - "Coefs : 0.0230888 [ 14.60 %]\n", - "Output : 0.00165306 [ 1.04 %]\n", - "Levels : 0.000660544 [ 0.42 %]\n", - "Report : 8.51e-07 [ 0.00 %]\n", - "Balance : 2.61e-07 [ 0.00 %]\n", - "Adjust : 0.0672666 [ 42.52 %]\n", - "Total : 0.158192 [100.00 %]\n", + "Drift : 0.000740484 [ 0.02 %]\n", + "Velocity : 0.00252673 [ 0.08 %]\n", + "Force : 0.538871 [ 17.09 %]\n", + "Coefs : 1.90203 [ 60.32 %]\n", + "Output : 0.0011794 [ 0.04 %]\n", + "Levels : 0.000239061 [ 0.01 %]\n", + "Report : 8.48e-07 [ 0.00 %]\n", + "Balance : 3.33e-07 [ 0.00 %]\n", + "Adjust : 0.707339 [ 22.43 %]\n", + "Total : 3.15298 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5836 607 376 148 175 \n", - "1 : 5838 614 356 170 164 \n", - "2 : 5792 607 372 172 199 \n", - "3 : 5812 632 366 159 173 \n", - "4 : 5787 638 370 161 186 \n", - "5 : 5843 613 358 158 170 \n", - "6 : 5834 569 380 173 186 \n", - "7 : 5801 625 379 167 170 \n", - "8 : 5806 612 376 166 182 \n", - "9 : 5812 617 379 167 167 \n", - "10 : 5797 622 380 183 160 \n", - "11 : 5764 639 420 145 174 \n", - "12 : 5840 605 371 164 162 \n", - "13 : 5807 648 367 151 181 \n", + "0 : 5800 741 364 112 125 \n", + "1 : 5800 741 357 119 125 \n", + "2 : 5784 711 363 145 139 \n", + "3 : 5843 701 333 124 141 \n", + "4 : 5836 699 330 131 146 \n", + "5 : 5872 720 304 124 122 \n", + "6 : 5846 671 350 123 152 \n", + "7 : 5811 738 317 122 154 \n", + "8 : 5839 699 334 126 144 \n", + "9 : 5833 696 344 132 137 \n", + "10 : 5824 696 347 125 150 \n", + "11 : 5798 706 355 143 140 \n", + "12 : 5884 679 320 120 139 \n", + "13 : 5822 713 347 132 140 \n", "\n", - "T : 81369 8648 5250 2284 2449 [100000]\n", + "T : 81592 9911 4765 1778 1954 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", - "--- Adj/Tot = 1.8%\n", - "--- Update = 9.7781e-03 sec\n", - "--- Collate = 7.2991e-05 sec\n", + "--- Coef/DT = 2.3%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 3.9543e-02 sec\n", + "--- Collate = 7.0544e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.879499e-08 < 6.250000e-03 [1443]\n", - "--- Max DT=2.616932e+00 > 1.000000e-01 [69296]\n", + "--- Min DT=3.769615e-06 < 6.250000e-03 [1154]\n", + "--- Max DT=2.947347e+00 > 1.000000e-01 [67737]\n", "----------------------------------------------------------------------\n", - " Component | low: 1443/100000\n", - " Component | high: 69296/100000\n", + " Component | low: 1154/100000\n", + " Component | high: 67737/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=89.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00136052 [ 0.91 %]\n", - "Velocity : 0.00439632 [ 2.93 %]\n", - "Force : 0.0557315 [ 37.11 %]\n", - "Coefs : 0.0209867 [ 13.97 %]\n", - "Output : 0.00153754 [ 1.02 %]\n", - "Levels : 0.000230999 [ 0.15 %]\n", - "Report : 5.48e-07 [ 0.00 %]\n", - "Balance : 3.05e-07 [ 0.00 %]\n", - "Adjust : 0.0658713 [ 43.86 %]\n", - "Total : 0.150173 [100.00 %]\n", + "Drift : 0.000495799 [ 0.01 %]\n", + "Velocity : 0.00235077 [ 0.06 %]\n", + "Force : 0.677695 [ 18.14 %]\n", + "Coefs : 2.27517 [ 60.88 %]\n", + "Output : 0.000990689 [ 0.03 %]\n", + "Levels : 0.000237032 [ 0.01 %]\n", + "Report : 4.56e-07 [ 0.00 %]\n", + "Balance : 2.68e-07 [ 0.00 %]\n", + "Adjust : 0.779899 [ 20.87 %]\n", + "Total : 3.73689 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5843 589 386 147 177 \n", - "1 : 5839 616 357 172 158 \n", - "2 : 5797 605 378 158 204 \n", - "3 : 5812 631 369 157 173 \n", - "4 : 5793 617 385 160 187 \n", - "5 : 5842 610 355 175 160 \n", - "6 : 5833 571 386 162 190 \n", - "7 : 5797 632 372 173 168 \n", - "8 : 5808 611 381 166 176 \n", - "9 : 5816 617 373 163 173 \n", - "10 : 5799 611 386 178 168 \n", - "11 : 5761 647 410 149 175 \n", - "12 : 5841 597 369 162 173 \n", - "13 : 5803 655 365 152 179 \n", + "0 : 5798 741 366 121 116 \n", + "1 : 5795 746 347 136 118 \n", + "2 : 5787 716 347 146 146 \n", + "3 : 5848 695 334 128 137 \n", + "4 : 5842 692 327 133 148 \n", + "5 : 5870 721 303 118 130 \n", + "6 : 5843 675 352 123 149 \n", + "7 : 5808 750 309 122 153 \n", + "8 : 5836 695 341 125 145 \n", + "9 : 5834 696 351 118 143 \n", + "10 : 5822 699 347 120 154 \n", + "11 : 5802 711 346 145 138 \n", + "12 : 5882 672 331 115 142 \n", + "13 : 5821 711 342 143 137 \n", "\n", - "T : 81384 8609 5272 2274 2461 [100000]\n", + "T : 81588 9920 4743 1793 1956 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", - "--- Adj/Tot = 1.8%\n", - "--- Update = 9.1537e-03 sec\n", - "--- Collate = 4.4879e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 4.7488e-02 sec\n", + "--- Collate = 6.0301e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.397063e-06 < 6.250000e-03 [1448]\n", - "--- Max DT=2.623801e+00 > 1.000000e-01 [69254]\n", + "--- Min DT=3.346745e-06 < 6.250000e-03 [1161]\n", + "--- Max DT=2.954368e+00 > 1.000000e-01 [67724]\n", "----------------------------------------------------------------------\n", - " Component | low: 1448/100000\n", - " Component | high: 69254/100000\n", + " Component | low: 1161/100000\n", + " Component | high: 67724/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=89.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000900339 [ 0.59 %]\n", - "Velocity : 0.00406061 [ 2.68 %]\n", - "Force : 0.0574946 [ 37.96 %]\n", - "Coefs : 0.0213939 [ 14.12 %]\n", - "Output : 0.0015079 [ 1.00 %]\n", - "Levels : 0.000183355 [ 0.12 %]\n", - "Report : 4.19e-07 [ 0.00 %]\n", - "Balance : 2.61e-07 [ 0.00 %]\n", - "Adjust : 0.065871 [ 43.49 %]\n", - "Total : 0.151464 [100.00 %]\n", + "Drift : 0.000620146 [ 0.02 %]\n", + "Velocity : 0.0022391 [ 0.07 %]\n", + "Force : 0.580689 [ 17.40 %]\n", + "Coefs : 1.99154 [ 59.69 %]\n", + "Output : 0.000939935 [ 0.03 %]\n", + "Levels : 0.000212476 [ 0.01 %]\n", + "Report : 4.64e-07 [ 0.00 %]\n", + "Balance : 4.1e-07 [ 0.00 %]\n", + "Adjust : 0.760198 [ 22.78 %]\n", + "Total : 3.33648 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5839 592 391 153 167 \n", - "1 : 5836 622 358 174 152 \n", - "2 : 5793 605 384 160 200 \n", - "3 : 5816 627 374 153 172 \n", - "4 : 5791 617 384 162 188 \n", - "5 : 5836 616 350 180 160 \n", - "6 : 5836 572 383 161 190 \n", - "7 : 5802 627 373 163 177 \n", - "8 : 5809 615 378 154 186 \n", - "9 : 5824 612 377 151 178 \n", - "10 : 5801 614 379 186 162 \n", - "11 : 5760 641 413 162 166 \n", - "12 : 5846 595 363 161 177 \n", - "13 : 5797 666 359 157 175 \n", + "0 : 5792 751 365 120 114 \n", + "1 : 5793 745 345 132 127 \n", + "2 : 5786 712 354 148 142 \n", + "3 : 5845 704 325 137 131 \n", + "4 : 5846 687 335 128 146 \n", + "5 : 5873 720 313 110 126 \n", + "6 : 5842 672 353 128 147 \n", + "7 : 5810 742 316 117 157 \n", + "8 : 5837 696 342 123 144 \n", + "9 : 5836 690 350 120 146 \n", + "10 : 5825 693 349 125 150 \n", + "11 : 5796 722 347 138 139 \n", + "12 : 5883 665 337 118 139 \n", + "13 : 5819 714 341 145 135 \n", "\n", - "T : 81386 8621 5266 2277 2450 [100000]\n", + "T : 81583 9913 4772 1789 1943 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.4%\n", - "--- Adj/Tot = 1.8%\n", - "--- Update = 9.3610e-03 sec\n", - "--- Collate = 5.6116e-05 sec\n", + "--- Coef/DT = 30.6%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 5.1597e-02 sec\n", + "--- Collate = 6.4592e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.793295e-07 < 6.250000e-03 [1411]\n", - "--- Max DT=2.630672e+00 > 1.000000e-01 [69217]\n", + "--- Min DT=7.091244e-07 < 6.250000e-03 [1140]\n", + "--- Max DT=2.961391e+00 > 1.000000e-01 [67707]\n", "----------------------------------------------------------------------\n", - " Component | low: 1411/100000\n", - " Component | high: 69217/100000\n", + " Component | low: 1140/100000\n", + " Component | high: 67707/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=89.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00130529 [ 0.87 %]\n", - "Velocity : 0.00411549 [ 2.74 %]\n", - "Force : 0.0568998 [ 37.82 %]\n", - "Coefs : 0.0211297 [ 14.04 %]\n", - "Output : 0.00155244 [ 1.03 %]\n", - "Levels : 0.000252128 [ 0.17 %]\n", - "Report : 8.14e-07 [ 0.00 %]\n", - "Balance : 2.75e-07 [ 0.00 %]\n", - "Adjust : 0.0651522 [ 43.30 %]\n", - "Total : 0.150462 [100.00 %]\n", + "Drift : 0.000479381 [ 0.01 %]\n", + "Velocity : 0.00203982 [ 0.06 %]\n", + "Force : 0.605709 [ 17.21 %]\n", + "Coefs : 2.22593 [ 63.25 %]\n", + "Output : 0.000898774 [ 0.03 %]\n", + "Levels : 0.000288157 [ 0.01 %]\n", + "Report : 7.9e-07 [ 0.00 %]\n", + "Balance : 2.12e-07 [ 0.00 %]\n", + "Adjust : 0.683592 [ 19.43 %]\n", + "Total : 3.51899 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5839 588 383 159 173 \n", - "1 : 5835 623 360 172 152 \n", - "2 : 5794 602 400 156 190 \n", - "3 : 5817 623 375 157 170 \n", - "4 : 5791 610 393 162 186 \n", - "5 : 5833 620 353 180 156 \n", - "6 : 5836 575 390 154 187 \n", - "7 : 5811 612 376 160 183 \n", - "8 : 5811 617 378 151 185 \n", - "9 : 5824 610 369 158 181 \n", - "10 : 5804 608 376 189 165 \n", - "11 : 5758 642 411 168 163 \n", - "12 : 5847 598 353 166 178 \n", - "13 : 5800 664 352 155 183 \n", + "0 : 5794 745 367 121 115 \n", + "1 : 5792 740 350 134 126 \n", + "2 : 5786 715 358 142 141 \n", + "3 : 5839 700 337 130 136 \n", + "4 : 5845 695 324 137 141 \n", + "5 : 5876 705 329 109 123 \n", + "6 : 5840 676 347 131 148 \n", + "7 : 5808 743 309 132 150 \n", + "8 : 5837 699 343 123 140 \n", + "9 : 5833 693 354 116 146 \n", + "10 : 5826 692 351 126 147 \n", + "11 : 5794 720 350 143 135 \n", + "12 : 5880 665 343 119 135 \n", + "13 : 5825 701 352 147 129 \n", "\n", - "T : 81400 8592 5269 2287 2452 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81575 9889 4814 1810 1912 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 1.8%\n", - "--- Update = 9.6899e-03 sec\n", - "--- Collate = 5.7560e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 8.0228e-02 sec\n", + "--- Collate = 7.0459e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.864282e-09 < 6.250000e-03 [1432]\n", - "--- Max DT=2.637545e+00 > 1.000000e-01 [69203]\n", + "--- Min DT=4.992722e-06 < 6.250000e-03 [1150]\n", + "--- Max DT=2.968417e+00 > 1.000000e-01 [67688]\n", "----------------------------------------------------------------------\n", - " Component | low: 1432/100000\n", - " Component | high: 69203/100000\n", + " Component | low: 1150/100000\n", + " Component | high: 67688/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=89.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00132141 [ 0.87 %]\n", - "Velocity : 0.0042922 [ 2.84 %]\n", - "Force : 0.0561808 [ 37.12 %]\n", - "Coefs : 0.0221388 [ 14.63 %]\n", - "Output : 0.00157777 [ 1.04 %]\n", - "Levels : 0.000237735 [ 0.16 %]\n", - "Report : 5.94e-07 [ 0.00 %]\n", - "Balance : 2.64e-07 [ 0.00 %]\n", - "Adjust : 0.0655629 [ 43.31 %]\n", - "Total : 0.151363 [100.00 %]\n", + "Drift : 0.000711411 [ 0.01 %]\n", + "Velocity : 0.00305542 [ 0.06 %]\n", + "Force : 0.737384 [ 15.33 %]\n", + "Coefs : 2.94721 [ 61.27 %]\n", + "Output : 0.00117858 [ 0.02 %]\n", + "Levels : 0.000745008 [ 0.02 %]\n", + "Report : 1.078e-06 [ 0.00 %]\n", + "Balance : 4.76e-07 [ 0.00 %]\n", + "Adjust : 1.11991 [ 23.28 %]\n", + "Total : 4.81025 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5839 585 391 162 165 \n", - "1 : 5840 615 363 173 151 \n", - "2 : 5799 596 398 165 184 \n", - "3 : 5817 619 381 159 166 \n", - "4 : 5790 612 390 167 183 \n", - "5 : 5836 623 342 180 161 \n", - "6 : 5836 566 388 171 181 \n", - "7 : 5809 614 378 168 173 \n", - "8 : 5810 611 391 151 179 \n", - "9 : 5821 606 376 151 188 \n", - "10 : 5805 610 366 190 171 \n", - "11 : 5758 644 404 162 174 \n", - "12 : 5845 606 347 165 179 \n", - "13 : 5804 658 352 161 179 \n", + "0 : 5795 741 367 122 117 \n", + "1 : 5786 755 351 125 125 \n", + "2 : 5790 709 361 142 140 \n", + "3 : 5838 700 339 123 142 \n", + "4 : 5842 696 325 142 137 \n", + "5 : 5872 708 333 118 111 \n", + "6 : 5836 682 357 121 146 \n", + "7 : 5809 740 313 135 145 \n", + "8 : 5838 697 347 120 140 \n", + "9 : 5833 705 340 121 143 \n", + "10 : 5826 693 356 119 148 \n", + "11 : 5790 722 354 137 139 \n", + "12 : 5874 665 344 125 134 \n", + "13 : 5824 698 353 150 129 \n", "\n", - "T : 81409 8565 5267 2325 2434 [100000]\n", + "T : 81553 9911 4840 1800 1896 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 8.7414e-03 sec\n", - "--- Collate = 7.4691e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 8.1145e-02 sec\n", + "--- Collate = 1.4052e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.256799e-07 < 6.250000e-03 [1472]\n", - "--- Max DT=2.644421e+00 > 1.000000e-01 [69185]\n", + "--- Min DT=4.074210e-06 < 6.250000e-03 [1146]\n", + "--- Max DT=2.975444e+00 > 1.000000e-01 [67686]\n", "----------------------------------------------------------------------\n", - " Component | low: 1472/100000\n", - " Component | high: 69185/100000\n", + " Component | low: 1146/100000\n", + " Component | high: 67686/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=90] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00129992 [ 0.84 %]\n", - "Velocity : 0.00405417 [ 2.62 %]\n", - "Force : 0.056967 [ 36.80 %]\n", - "Coefs : 0.0220984 [ 14.27 %]\n", - "Output : 0.00632185 [ 4.08 %]\n", - "Levels : 0.000218469 [ 0.14 %]\n", - "Report : 9.72e-07 [ 0.00 %]\n", - "Balance : 7.62e-07 [ 0.00 %]\n", - "Adjust : 0.0638052 [ 41.21 %]\n", - "Total : 0.15482 [100.00 %]\n", + "Drift : 0.000655496 [ 0.02 %]\n", + "Velocity : 0.00320995 [ 0.08 %]\n", + "Force : 0.716216 [ 18.50 %]\n", + "Coefs : 2.24942 [ 58.10 %]\n", + "Output : 0.0132636 [ 0.34 %]\n", + "Levels : 0.00028068 [ 0.01 %]\n", + "Report : 1.133e-06 [ 0.00 %]\n", + "Balance : 4.29e-07 [ 0.00 %]\n", + "Adjust : 0.888344 [ 22.95 %]\n", + "Total : 3.87145 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5846 578 396 156 166 \n", - "1 : 5847 612 364 164 155 \n", - "2 : 5800 604 396 171 171 \n", - "3 : 5820 616 387 153 166 \n", - "4 : 5792 611 389 170 180 \n", - "5 : 5839 614 358 174 157 \n", - "6 : 5843 557 384 178 180 \n", - "7 : 5811 609 382 171 169 \n", - "8 : 5818 601 394 157 172 \n", - "9 : 5824 597 373 162 186 \n", - "10 : 5805 614 372 185 166 \n", - "11 : 5764 644 400 167 167 \n", - "12 : 5849 597 348 170 178 \n", - "13 : 5797 664 352 153 188 \n", + "0 : 5800 736 359 124 123 \n", + "1 : 5780 761 342 129 130 \n", + "2 : 5792 708 356 152 134 \n", + "3 : 5834 705 336 134 133 \n", + "4 : 5841 696 329 138 138 \n", + "5 : 5869 705 341 120 107 \n", + "6 : 5838 682 361 124 137 \n", + "7 : 5804 741 324 134 139 \n", + "8 : 5834 695 355 117 141 \n", + "9 : 5842 701 335 121 143 \n", + "10 : 5827 685 360 123 147 \n", + "11 : 5799 711 352 147 133 \n", + "12 : 5876 666 332 136 132 \n", + "13 : 5823 707 350 151 123 \n", "\n", - "T : 81455 8518 5295 2331 2401 [100000]\n", + "T : 81559 9899 4832 1850 1860 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.6%\n", - "--- Adj/Tot = 1.8%\n", - "--- Update = 9.3091e-03 sec\n", - "--- Collate = 5.9245e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 5.2472e-02 sec\n", + "--- Collate = 8.0250e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.798972e-06 < 6.250000e-03 [1485]\n", - "--- Max DT=2.651299e+00 > 1.000000e-01 [69171]\n", + "--- Min DT=2.239134e-06 < 6.250000e-03 [1154]\n", + "--- Max DT=2.982474e+00 > 1.000000e-01 [67690]\n", "----------------------------------------------------------------------\n", - " Component | low: 1485/100000\n", - " Component | high: 69171/100000\n", + " Component | low: 1154/100000\n", + " Component | high: 67690/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=90.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00129854 [ 0.87 %]\n", - "Velocity : 0.00435844 [ 2.92 %]\n", - "Force : 0.0562906 [ 37.71 %]\n", - "Coefs : 0.0211473 [ 14.17 %]\n", - "Output : 0.00159037 [ 1.07 %]\n", - "Levels : 0.000238588 [ 0.16 %]\n", - "Report : 5.91e-07 [ 0.00 %]\n", - "Balance : 2.75e-07 [ 0.00 %]\n", - "Adjust : 0.0642811 [ 43.07 %]\n", - "Total : 0.149258 [100.00 %]\n", + "Drift : 0.000539618 [ 0.01 %]\n", + "Velocity : 0.00235356 [ 0.06 %]\n", + "Force : 0.706863 [ 18.15 %]\n", + "Coefs : 2.41618 [ 62.03 %]\n", + "Output : 0.00125288 [ 0.03 %]\n", + "Levels : 0.000297816 [ 0.01 %]\n", + "Report : 8.03e-07 [ 0.00 %]\n", + "Balance : 3.95e-07 [ 0.00 %]\n", + "Adjust : 0.767948 [ 19.71 %]\n", + "Total : 3.89549 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5840 590 389 142 181 \n", - "1 : 5844 614 361 166 157 \n", - "2 : 5807 600 391 177 167 \n", - "3 : 5823 608 386 169 156 \n", - "4 : 5789 614 388 179 172 \n", - "5 : 5836 608 364 174 160 \n", - "6 : 5847 553 396 170 176 \n", - "7 : 5817 604 381 175 165 \n", - "8 : 5819 598 397 158 170 \n", - "9 : 5824 597 369 167 185 \n", - "10 : 5801 622 378 175 166 \n", - "11 : 5767 639 405 160 171 \n", - "12 : 5852 589 356 165 180 \n", - "13 : 5800 658 350 156 190 \n", + "0 : 5796 736 360 126 124 \n", + "1 : 5775 761 340 138 128 \n", + "2 : 5793 709 365 134 141 \n", + "3 : 5833 706 341 133 129 \n", + "4 : 5840 696 332 127 147 \n", + "5 : 5870 699 353 107 113 \n", + "6 : 5837 689 352 130 134 \n", + "7 : 5803 735 335 130 139 \n", + "8 : 5833 690 358 118 143 \n", + "9 : 5835 702 333 130 142 \n", + "10 : 5826 685 364 119 148 \n", + "11 : 5800 711 350 147 134 \n", + "12 : 5876 669 325 135 137 \n", + "13 : 5812 713 353 153 123 \n", "\n", - "T : 81466 8494 5311 2333 2396 [100000]\n", + "T : 81529 9901 4861 1827 1882 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 9.7385e-03 sec\n", - "--- Collate = 8.1626e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 3.9546e-02 sec\n", + "--- Collate = 4.0390e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.201172e-06 < 6.250000e-03 [1470]\n", - "--- Max DT=2.658179e+00 > 1.000000e-01 [69136]\n", + "--- Min DT=5.346217e-06 < 6.250000e-03 [1134]\n", + "--- Max DT=2.989505e+00 > 1.000000e-01 [67680]\n", "----------------------------------------------------------------------\n", - " Component | low: 1470/100000\n", - " Component | high: 69136/100000\n", + " Component | low: 1134/100000\n", + " Component | high: 67680/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=90.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00129424 [ 0.82 %]\n", - "Velocity : 0.00445318 [ 2.84 %]\n", - "Force : 0.0588449 [ 37.48 %]\n", - "Coefs : 0.0220315 [ 14.03 %]\n", - "Output : 0.00175018 [ 1.11 %]\n", - "Levels : 0.000287682 [ 0.18 %]\n", - "Report : 7.97e-07 [ 0.00 %]\n", - "Balance : 2.8e-07 [ 0.00 %]\n", - "Adjust : 0.0682832 [ 43.49 %]\n", - "Total : 0.157002 [100.00 %]\n", + "Drift : 0.000514289 [ 0.02 %]\n", + "Velocity : 0.00222449 [ 0.07 %]\n", + "Force : 0.604129 [ 17.98 %]\n", + "Coefs : 2.11948 [ 63.10 %]\n", + "Output : 0.00126827 [ 0.04 %]\n", + "Levels : 0.000471682 [ 0.01 %]\n", + "Report : 1.326e-06 [ 0.00 %]\n", + "Balance : 6.13e-07 [ 0.00 %]\n", + "Adjust : 0.631023 [ 18.79 %]\n", + "Total : 3.35916 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5839 595 379 148 181 \n", - "1 : 5850 612 365 157 158 \n", - "2 : 5806 604 386 166 180 \n", - "3 : 5823 606 391 167 155 \n", - "4 : 5788 620 374 179 181 \n", - "5 : 5836 606 364 171 165 \n", - "6 : 5850 549 395 171 177 \n", - "7 : 5818 590 401 166 167 \n", - "8 : 5819 600 394 162 167 \n", - "9 : 5820 610 359 177 176 \n", - "10 : 5804 623 381 168 166 \n", - "11 : 5769 642 401 154 176 \n", - "12 : 5855 585 356 165 181 \n", - "13 : 5804 652 354 154 190 \n", + "0 : 5792 743 354 135 118 \n", + "1 : 5776 755 342 144 125 \n", + "2 : 5796 712 362 134 138 \n", + "3 : 5833 707 348 129 125 \n", + "4 : 5840 699 329 129 145 \n", + "5 : 5874 693 358 101 116 \n", + "6 : 5834 685 360 132 131 \n", + "7 : 5800 732 346 120 144 \n", + "8 : 5832 699 343 132 136 \n", + "9 : 5838 702 330 127 145 \n", + "10 : 5819 689 371 116 147 \n", + "11 : 5800 715 344 138 145 \n", + "12 : 5873 677 320 131 141 \n", + "13 : 5810 718 353 149 124 \n", "\n", - "T : 81481 8494 5300 2305 2420 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81517 9926 4860 1817 1880 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.4%\n", - "--- Adj/Tot = 1.7%\n", - "--- Update = 9.3291e-03 sec\n", - "--- Collate = 5.8589e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 6.8844e-02 sec\n", + "--- Collate = 8.7148e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.422262e-06 < 6.250000e-03 [1487]\n", - "--- Max DT=2.665061e+00 > 1.000000e-01 [69115]\n", + "--- Min DT=3.107355e-06 < 6.250000e-03 [1128]\n", + "--- Max DT=2.996539e+00 > 1.000000e-01 [67688]\n", "----------------------------------------------------------------------\n", - " Component | low: 1487/100000\n", - " Component | high: 69115/100000\n", + " Component | low: 1128/100000\n", + " Component | high: 67688/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=90.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00136853 [ 0.92 %]\n", - "Velocity : 0.00429454 [ 2.87 %]\n", - "Force : 0.0562971 [ 37.64 %]\n", - "Coefs : 0.0208945 [ 13.97 %]\n", - "Output : 0.00157819 [ 1.06 %]\n", - "Levels : 0.000213233 [ 0.14 %]\n", - "Report : 8.89e-07 [ 0.00 %]\n", - "Balance : 2.61e-07 [ 0.00 %]\n", - "Adjust : 0.0648647 [ 43.37 %]\n", - "Total : 0.149563 [100.00 %]\n", + "Drift : 0.00123803 [ 0.04 %]\n", + "Velocity : 0.00251456 [ 0.08 %]\n", + "Force : 0.56284 [ 17.12 %]\n", + "Coefs : 2.02418 [ 61.57 %]\n", + "Output : 0.00146275 [ 0.04 %]\n", + "Levels : 0.000239873 [ 0.01 %]\n", + "Report : 7.59e-07 [ 0.00 %]\n", + "Balance : 2.33e-07 [ 0.00 %]\n", + "Adjust : 0.695208 [ 21.15 %]\n", + "Total : 3.28774 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5841 591 376 157 177 \n", - "1 : 5848 609 367 155 163 \n", - "2 : 5801 620 376 169 176 \n", - "3 : 5827 608 389 166 152 \n", - "4 : 5789 616 380 178 179 \n", - "5 : 5835 609 369 160 169 \n", - "6 : 5852 546 399 169 176 \n", - "7 : 5820 591 390 165 176 \n", - "8 : 5824 601 388 161 168 \n", - "9 : 5823 606 363 173 177 \n", - "10 : 5807 626 374 165 170 \n", - "11 : 5772 640 407 148 175 \n", - "12 : 5851 591 356 168 176 \n", - "13 : 5805 656 351 147 195 \n", + "0 : 5789 749 354 125 125 \n", + "1 : 5777 753 339 149 124 \n", + "2 : 5792 713 363 135 139 \n", + "3 : 5826 713 346 131 126 \n", + "4 : 5835 705 330 123 149 \n", + "5 : 5877 687 356 98 124 \n", + "6 : 5832 689 354 138 129 \n", + "7 : 5802 738 346 114 142 \n", + "8 : 5832 698 341 146 125 \n", + "9 : 5836 698 327 136 145 \n", + "10 : 5820 692 361 136 133 \n", + "11 : 5800 716 349 126 151 \n", + "12 : 5863 690 320 128 141 \n", + "13 : 5810 720 362 140 122 \n", "\n", - "T : 81495 8510 5285 2281 2429 [100000]\n", + "T : 81491 9961 4848 1825 1875 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.5%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 9.2857e-03 sec\n", - "--- Collate = 6.8283e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 5.4086e-02 sec\n", + "--- Collate = 4.0708e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.758753e-07 < 6.250000e-03 [1474]\n", - "--- Max DT=2.671946e+00 > 1.000000e-01 [69071]\n", + "--- Min DT=1.526034e-06 < 6.250000e-03 [1122]\n", + "--- Max DT=3.003574e+00 > 1.000000e-01 [67678]\n", "----------------------------------------------------------------------\n", - " Component | low: 1474/100000\n", - " Component | high: 69071/100000\n", + " Component | low: 1122/100000\n", + " Component | high: 67678/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=90.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00128263 [ 0.85 %]\n", - "Velocity : 0.00426372 [ 2.82 %]\n", - "Force : 0.0569459 [ 37.64 %]\n", - "Coefs : 0.0210461 [ 13.91 %]\n", - "Output : 0.00164028 [ 1.08 %]\n", - "Levels : 0.000216048 [ 0.14 %]\n", - "Report : 8.37e-07 [ 0.00 %]\n", - "Balance : 2.65e-07 [ 0.00 %]\n", - "Adjust : 0.0658294 [ 43.52 %]\n", - "Total : 0.151275 [100.00 %]\n", + "Drift : 0.000612807 [ 0.02 %]\n", + "Velocity : 0.00314924 [ 0.10 %]\n", + "Force : 0.57333 [ 17.52 %]\n", + "Coefs : 1.99528 [ 60.97 %]\n", + "Output : 0.00141227 [ 0.04 %]\n", + "Levels : 0.000299666 [ 0.01 %]\n", + "Report : 7.68e-07 [ 0.00 %]\n", + "Balance : 3.52e-07 [ 0.00 %]\n", + "Adjust : 0.698484 [ 21.34 %]\n", + "Total : 3.27263 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5841 585 381 154 181 \n", - "1 : 5845 613 370 158 156 \n", - "2 : 5802 619 385 160 176 \n", - "3 : 5826 607 390 163 156 \n", - "4 : 5789 617 390 173 173 \n", - "5 : 5832 611 371 153 175 \n", - "6 : 5851 548 392 180 171 \n", - "7 : 5818 595 392 156 181 \n", - "8 : 5823 609 380 167 163 \n", - "9 : 5824 600 370 172 176 \n", - "10 : 5809 630 367 167 169 \n", - "11 : 5776 635 403 151 177 \n", - "12 : 5853 589 353 168 179 \n", - "13 : 5810 654 347 147 196 \n", + "0 : 5793 743 360 123 123 \n", + "1 : 5781 758 328 152 123 \n", + "2 : 5789 718 364 127 144 \n", + "3 : 5827 711 352 132 120 \n", + "4 : 5836 702 341 116 147 \n", + "5 : 5878 685 353 106 120 \n", + "6 : 5830 690 357 133 132 \n", + "7 : 5808 731 349 117 137 \n", + "8 : 5837 691 342 143 129 \n", + "9 : 5836 696 328 137 145 \n", + "10 : 5823 686 363 134 136 \n", + "11 : 5801 711 349 132 149 \n", + "12 : 5867 676 328 137 134 \n", + "13 : 5814 718 365 129 128 \n", "\n", - "T : 81499 8512 5291 2269 2429 [100000]\n", + "T : 81520 9916 4879 1818 1867 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", + "--- Coef/DT = 18.9%\n", "--- Adj/Tot = 1.9%\n", - "--- Update = 9.9092e-03 sec\n", - "--- Collate = 6.1241e-05 sec\n", + "--- Update = 5.7475e-02 sec\n", + "--- Collate = 1.1980e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.297992e-06 < 6.250000e-03 [1477]\n", - "--- Max DT=2.678833e+00 > 1.000000e-01 [69043]\n", + "--- Min DT=5.744045e-07 < 6.250000e-03 [1124]\n", + "--- Max DT=3.010612e+00 > 1.000000e-01 [67680]\n", "----------------------------------------------------------------------\n", - " Component | low: 1477/100000\n", - " Component | high: 69043/100000\n", + " Component | low: 1124/100000\n", + " Component | high: 67680/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=90.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00130329 [ 0.87 %]\n", - "Velocity : 0.00430921 [ 2.88 %]\n", - "Force : 0.0560351 [ 37.40 %]\n", - "Coefs : 0.0209376 [ 13.98 %]\n", - "Output : 0.00155274 [ 1.04 %]\n", - "Levels : 0.000218104 [ 0.15 %]\n", - "Report : 7.89e-07 [ 0.00 %]\n", - "Balance : 2.78e-07 [ 0.00 %]\n", - "Adjust : 0.0654035 [ 43.66 %]\n", - "Total : 0.149814 [100.00 %]\n", + "Drift : 0.00070744 [ 0.02 %]\n", + "Velocity : 0.00311255 [ 0.09 %]\n", + "Force : 0.539896 [ 16.30 %]\n", + "Coefs : 2.10174 [ 63.44 %]\n", + "Output : 0.00132927 [ 0.04 %]\n", + "Levels : 0.00028755 [ 0.01 %]\n", + "Report : 8.64e-07 [ 0.00 %]\n", + "Balance : 2.87e-07 [ 0.00 %]\n", + "Adjust : 0.665999 [ 20.10 %]\n", + "Total : 3.31312 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5838 589 375 156 184 \n", - "1 : 5848 607 372 154 161 \n", - "2 : 5800 618 383 168 173 \n", - "3 : 5833 602 385 162 160 \n", - "4 : 5790 610 394 178 170 \n", - "5 : 5832 610 372 155 173 \n", - "6 : 5852 540 392 178 180 \n", - "7 : 5818 595 389 163 177 \n", - "8 : 5827 600 385 167 163 \n", - "9 : 5820 602 378 170 172 \n", - "10 : 5811 616 377 176 162 \n", - "11 : 5776 640 406 142 178 \n", - "12 : 5852 587 352 178 173 \n", - "13 : 5809 648 349 156 192 \n", + "0 : 5798 737 361 121 125 \n", + "1 : 5781 755 327 147 132 \n", + "2 : 5791 716 362 129 144 \n", + "3 : 5817 726 355 130 114 \n", + "4 : 5836 697 342 121 146 \n", + "5 : 5874 697 334 124 113 \n", + "6 : 5835 682 364 127 134 \n", + "7 : 5813 720 352 116 141 \n", + "8 : 5835 699 332 146 130 \n", + "9 : 5835 702 321 143 141 \n", + "10 : 5819 690 366 131 136 \n", + "11 : 5797 725 337 142 141 \n", + "12 : 5852 698 319 129 144 \n", + "13 : 5812 720 359 131 132 \n", "\n", - "T : 81506 8464 5309 2303 2418 [100000]\n", + "T : 81495 9964 4831 1837 1873 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", - "--- Adj/Tot = 1.8%\n", - "--- Update = 1.0041e-02 sec\n", - "--- Collate = 6.2829e-05 sec\n", + "--- Coef/DT = 0.9%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 7.7744e-02 sec\n", + "--- Collate = 1.1011e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.005628e-06 < 6.250000e-03 [1445]\n", - "--- Max DT=2.685722e+00 > 1.000000e-01 [69024]\n", + "--- Min DT=1.488288e-06 < 6.250000e-03 [1083]\n", + "--- Max DT=3.017652e+00 > 1.000000e-01 [67679]\n", "----------------------------------------------------------------------\n", - " Component | low: 1445/100000\n", - " Component | high: 69024/100000\n", + " Component | low: 1083/100000\n", + " Component | high: 67679/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=90.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00131554 [ 0.83 %]\n", - "Velocity : 0.00474888 [ 3.01 %]\n", - "Force : 0.057554 [ 36.44 %]\n", - "Coefs : 0.0219353 [ 13.89 %]\n", - "Output : 0.00189494 [ 1.20 %]\n", - "Levels : 0.000270085 [ 0.17 %]\n", - "Report : 8.06e-07 [ 0.00 %]\n", - "Balance : 3.15e-07 [ 0.00 %]\n", - "Adjust : 0.0701797 [ 44.43 %]\n", - "Total : 0.157952 [100.00 %]\n", + "Drift : 0.000679422 [ 0.02 %]\n", + "Velocity : 0.00201744 [ 0.06 %]\n", + "Force : 0.620561 [ 18.17 %]\n", + "Coefs : 2.04621 [ 59.93 %]\n", + "Output : 0.000897618 [ 0.03 %]\n", + "Levels : 0.000150124 [ 0.00 %]\n", + "Report : 5.48e-07 [ 0.00 %]\n", + "Balance : 1.91e-07 [ 0.00 %]\n", + "Adjust : 0.743923 [ 21.79 %]\n", + "Total : 3.41448 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5840 581 383 159 179 \n", - "1 : 5847 609 368 151 167 \n", - "2 : 5803 611 392 158 178 \n", - "3 : 5833 601 381 157 170 \n", - "4 : 5786 619 390 177 170 \n", - "5 : 5841 608 361 152 180 \n", - "6 : 5855 539 396 177 175 \n", - "7 : 5824 593 387 168 170 \n", - "8 : 5830 607 376 171 158 \n", - "9 : 5827 598 393 149 175 \n", - "10 : 5806 615 385 168 168 \n", - "11 : 5769 652 409 137 175 \n", - "12 : 5856 581 357 185 163 \n", - "13 : 5814 642 352 158 188 \n", + "0 : 5803 729 365 126 119 \n", + "1 : 5786 745 329 147 135 \n", + "2 : 5786 722 358 131 145 \n", + "3 : 5815 726 361 128 112 \n", + "4 : 5838 689 344 132 139 \n", + "5 : 5870 693 339 126 114 \n", + "6 : 5835 679 364 139 125 \n", + "7 : 5814 715 353 121 139 \n", + "8 : 5834 697 337 137 137 \n", + "9 : 5841 692 324 137 148 \n", + "10 : 5826 687 366 122 141 \n", + "11 : 5789 739 335 139 140 \n", + "12 : 5853 692 324 131 142 \n", + "13 : 5812 720 364 129 129 \n", + "\n", + "T : 81502 9925 4863 1845 1865 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "----------------------------------------------------------------------\n", + "--- Timer info in comp, mlevel=3--------------------------------------\n", + "----------------------------------------------------------------------\n", + " COM: 2.249480e-04\n", + " Position: 2.223971e+01\n", + " --------------------------------------------------\n", + " *** fix pos : 1.128036e+01 \n", + " --------------------------------------------------\n", + " Ang mom: 3.296440e+00\n", + " Zero: 1.210593e-01\n", + " Accel: 3.322215e+00\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " Interaction: 3.765870e-04\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " External: 6.967400e-04\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " Expand: 1.864030e+02\n", + " Force: 3.446841e+00\n", + " Elapsed: 3.001438e+02\n", + "----------------------------------------------------------------------\n", "\n", - "T : 81531 8456 5330 2267 2416 [100000]\n", + "mstep/Mstep=2/16\n", + "0 |85 1 |85 2 |170 3 |341 4 |681 \n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.4%\n", + "--- Coef/DT = 1.5%\n", "--- Adj/Tot = 1.8%\n", - "--- Update = 9.2795e-03 sec\n", - "--- Collate = 7.3992e-05 sec\n", + "--- Update = 4.2593e-02 sec\n", + "--- Collate = 7.0269e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.877711e-06 < 6.250000e-03 [1426]\n", - "--- Max DT=2.692613e+00 > 1.000000e-01 [69008]\n", + "--- Min DT=2.665611e-07 < 6.250000e-03 [1084]\n", + "--- Max DT=3.024693e+00 > 1.000000e-01 [67693]\n", "----------------------------------------------------------------------\n", - " Component | low: 1426/100000\n", - " Component | high: 69008/100000\n", + " Component | low: 1084/100000\n", + " Component | high: 67693/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=90.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0013997 [ 0.91 %]\n", - "Velocity : 0.00439335 [ 2.86 %]\n", - "Force : 0.0585027 [ 38.11 %]\n", - "Coefs : 0.0213149 [ 13.88 %]\n", - "Output : 0.00165387 [ 1.08 %]\n", - "Levels : 0.000215402 [ 0.14 %]\n", - "Report : 5.37e-07 [ 0.00 %]\n", - "Balance : 2.41e-07 [ 0.00 %]\n", - "Adjust : 0.0659938 [ 42.99 %]\n", - "Total : 0.153526 [100.00 %]\n", + "Drift : 0.000297688 [ 0.01 %]\n", + "Velocity : 0.00126442 [ 0.04 %]\n", + "Force : 0.480463 [ 14.69 %]\n", + "Coefs : 2.13599 [ 65.29 %]\n", + "Output : 0.000598426 [ 0.02 %]\n", + "Levels : 0.000110593 [ 0.00 %]\n", + "Report : 7.52e-07 [ 0.00 %]\n", + "Balance : 1.31e-07 [ 0.00 %]\n", + "Adjust : 0.652946 [ 19.96 %]\n", + "Total : 3.2717 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5842 581 379 164 176 \n", - "1 : 5854 601 372 149 166 \n", - "2 : 5798 617 394 155 178 \n", - "3 : 5840 593 385 147 177 \n", - "4 : 5788 617 392 177 168 \n", - "5 : 5848 600 365 155 174 \n", - "6 : 5852 540 386 178 186 \n", - "7 : 5827 594 385 165 171 \n", - "8 : 5829 598 387 166 162 \n", - "9 : 5830 597 384 151 180 \n", - "10 : 5805 617 384 166 170 \n", - "11 : 5763 661 406 148 164 \n", - "12 : 5861 571 355 188 167 \n", - "13 : 5816 635 365 148 190 \n", + "0 : 5803 722 371 118 128 \n", + "1 : 5784 743 340 142 133 \n", + "2 : 5789 717 366 121 149 \n", + "3 : 5812 731 365 125 109 \n", + "4 : 5836 696 333 149 128 \n", + "5 : 5869 695 335 123 120 \n", + "6 : 5837 676 369 144 116 \n", + "7 : 5813 714 357 121 137 \n", + "8 : 5838 690 348 130 136 \n", + "9 : 5838 688 333 137 146 \n", + "10 : 5822 695 362 122 141 \n", + "11 : 5788 744 328 134 148 \n", + "12 : 5850 699 333 115 145 \n", + "13 : 5810 717 365 132 130 \n", "\n", - "T : 81553 8422 5339 2257 2429 [100000]\n", + "T : 81489 9927 4905 1813 1866 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.6%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 9.4877e-03 sec\n", - "--- Collate = 7.3094e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 2.8636e-02 sec\n", + "--- Collate = 8.0044e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.344186e-07 < 6.250000e-03 [1397]\n", - "--- Max DT=2.699507e+00 > 1.000000e-01 [68976]\n", + "--- Min DT=8.707807e-06 < 6.250000e-03 [1121]\n", + "--- Max DT=3.031737e+00 > 1.000000e-01 [67701]\n", "----------------------------------------------------------------------\n", - " Component | low: 1397/100000\n", - " Component | high: 68976/100000\n", + " Component | low: 1121/100000\n", + " Component | high: 67701/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=90.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00132919 [ 0.88 %]\n", - "Velocity : 0.00434927 [ 2.87 %]\n", - "Force : 0.0566002 [ 37.39 %]\n", - "Coefs : 0.0212359 [ 14.03 %]\n", - "Output : 0.00161272 [ 1.07 %]\n", - "Levels : 0.000215187 [ 0.14 %]\n", - "Report : 5.47e-07 [ 0.00 %]\n", - "Balance : 2.56e-07 [ 0.00 %]\n", - "Adjust : 0.0659668 [ 43.58 %]\n", - "Total : 0.151364 [100.00 %]\n", + "Drift : 0.000257544 [ 0.01 %]\n", + "Velocity : 0.00114914 [ 0.04 %]\n", + "Force : 0.481035 [ 15.94 %]\n", + "Coefs : 1.90904 [ 63.26 %]\n", + "Output : 0.000591688 [ 0.02 %]\n", + "Levels : 0.000176531 [ 0.01 %]\n", + "Report : 5.24e-07 [ 0.00 %]\n", + "Balance : 1.74e-07 [ 0.00 %]\n", + "Adjust : 0.625662 [ 20.73 %]\n", + "Total : 3.01793 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5842 584 365 172 179 \n", - "1 : 5858 592 382 151 159 \n", - "2 : 5802 616 383 162 179 \n", - "3 : 5839 589 396 138 180 \n", - "4 : 5787 618 385 180 172 \n", - "5 : 5849 597 367 161 168 \n", - "6 : 5851 543 376 192 180 \n", - "7 : 5826 598 385 164 169 \n", - "8 : 5832 592 392 164 162 \n", - "9 : 5823 600 392 148 179 \n", - "10 : 5804 618 392 165 163 \n", - "11 : 5761 656 409 155 161 \n", - "12 : 5859 581 341 181 180 \n", - "13 : 5817 631 369 144 193 \n", + "0 : 5796 729 368 123 126 \n", + "1 : 5793 740 333 133 143 \n", + "2 : 5784 718 371 122 147 \n", + "3 : 5813 722 367 128 112 \n", + "4 : 5835 704 323 152 128 \n", + "5 : 5868 700 335 117 122 \n", + "6 : 5835 687 361 142 117 \n", + "7 : 5803 718 361 126 134 \n", + "8 : 5839 687 356 124 136 \n", + "9 : 5843 680 342 139 138 \n", + "10 : 5822 690 364 124 142 \n", + "11 : 5789 742 325 134 152 \n", + "12 : 5856 691 331 124 140 \n", + "13 : 5810 715 365 136 128 \n", "\n", - "T : 81550 8415 5334 2277 2424 [100000]\n", + "T : 81486 9923 4902 1824 1865 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0236e-02 sec\n", - "--- Collate = 6.6853e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 3.4646e-02 sec\n", + "--- Collate = 1.0036e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.533423e-06 < 6.250000e-03 [1397]\n", - "--- Max DT=2.706402e+00 > 1.000000e-01 [68964]\n", + "--- Min DT=1.127782e-06 < 6.250000e-03 [1111]\n", + "--- Max DT=3.038782e+00 > 1.000000e-01 [67695]\n", "----------------------------------------------------------------------\n", - " Component | low: 1397/100000\n", - " Component | high: 68964/100000\n", + " Component | low: 1111/100000\n", + " Component | high: 67695/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=90.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00133407 [ 0.85 %]\n", - "Velocity : 0.00448239 [ 2.86 %]\n", - "Force : 0.0585235 [ 37.35 %]\n", - "Coefs : 0.0213721 [ 13.64 %]\n", - "Output : 0.00165526 [ 1.06 %]\n", - "Levels : 0.000208366 [ 0.13 %]\n", - "Report : 8.08e-07 [ 0.00 %]\n", - "Balance : 2.76e-07 [ 0.00 %]\n", - "Adjust : 0.0690388 [ 44.06 %]\n", - "Total : 0.156698 [100.00 %]\n", - "----------------------------------------------------------------------\n", - "\n", - "----------------------------------------------------------------------\n", - "--- Level info--------------------------------------------------------\n", - "----------------------------------------------------------------------\n", - "0 : 5839 592 360 184 167 \n", - "1 : 5858 596 378 146 164 \n", - "2 : 5800 615 386 167 174 \n", - "3 : 5839 591 384 154 174 \n", - "4 : 5789 620 380 178 175 \n", - "5 : 5851 592 362 167 170 \n", - "6 : 5852 539 391 193 167 \n", - "7 : 5821 600 385 163 173 \n", - "8 : 5837 591 391 158 165 \n", - "9 : 5824 604 389 150 175 \n", - "10 : 5809 617 383 169 164 \n", - "11 : 5762 654 411 163 152 \n", - "12 : 5857 579 346 177 183 \n", - "13 : 5817 626 369 162 180 \n", - "\n", - "T : 81555 8416 5315 2331 2383 [100000]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000296697 [ 0.01 %]\n", + "Velocity : 0.00129973 [ 0.05 %]\n", + "Force : 0.444488 [ 15.60 %]\n", + "Coefs : 1.80866 [ 63.47 %]\n", + "Output : 0.000682236 [ 0.02 %]\n", + "Levels : 0.000181305 [ 0.01 %]\n", + "Report : 5.03e-07 [ 0.00 %]\n", + "Balance : 1.32e-07 [ 0.00 %]\n", + "Adjust : 0.594059 [ 20.85 %]\n", + "Total : 2.84969 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5799 726 371 119 127 \n", + "1 : 5789 738 339 127 149 \n", + "2 : 5781 727 371 122 141 \n", + "3 : 5818 718 365 132 109 \n", + "4 : 5837 709 316 150 130 \n", + "5 : 5864 697 334 126 121 \n", + "6 : 5839 691 353 147 112 \n", + "7 : 5810 714 359 129 130 \n", + "8 : 5840 687 356 123 136 \n", + "9 : 5841 686 348 131 136 \n", + "10 : 5821 698 363 128 132 \n", + "11 : 5794 734 332 135 147 \n", + "12 : 5851 695 333 121 142 \n", + "13 : 5810 718 359 132 135 \n", + "\n", + "T : 81494 9938 4899 1822 1847 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", + "--- Coef/DT = 1.6%\n", "--- Adj/Tot = 1.9%\n", - "--- Update = 9.3360e-03 sec\n", - "--- Collate = 5.7621e-05 sec\n", + "--- Update = 3.0626e-02 sec\n", + "--- Collate = 6.0056e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.198786e-06 < 6.250000e-03 [1420]\n", - "--- Max DT=2.713300e+00 > 1.000000e-01 [68941]\n", + "--- Min DT=1.520615e-07 < 6.250000e-03 [1109]\n", + "--- Max DT=3.045830e+00 > 1.000000e-01 [67697]\n", "----------------------------------------------------------------------\n", - " Component | low: 1420/100000\n", - " Component | high: 68941/100000\n", + " Component | low: 1109/100000\n", + " Component | high: 67697/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=91] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00130132 [ 0.82 %]\n", - "Velocity : 0.00436215 [ 2.74 %]\n", - "Force : 0.057807 [ 36.35 %]\n", - "Coefs : 0.0218119 [ 13.72 %]\n", - "Output : 0.00649036 [ 4.08 %]\n", - "Levels : 0.000230046 [ 0.14 %]\n", - "Report : 1.137e-06 [ 0.00 %]\n", - "Balance : 7.66e-07 [ 0.00 %]\n", - "Adjust : 0.0669616 [ 42.11 %]\n", - "Total : 0.159021 [100.00 %]\n", + "Drift : 0.000342642 [ 0.02 %]\n", + "Velocity : 0.00150506 [ 0.07 %]\n", + "Force : 0.339196 [ 15.32 %]\n", + "Coefs : 1.35914 [ 61.39 %]\n", + "Output : 0.00291821 [ 0.13 %]\n", + "Levels : 0.000129693 [ 0.01 %]\n", + "Report : 4.7e-07 [ 0.00 %]\n", + "Balance : 2.51e-07 [ 0.00 %]\n", + "Adjust : 0.510509 [ 23.06 %]\n", + "Total : 2.21377 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5844 575 374 177 172 \n", - "1 : 5858 595 382 148 159 \n", - "2 : 5800 618 381 172 171 \n", - "3 : 5841 590 390 142 179 \n", - "4 : 5791 620 384 176 171 \n", - "5 : 5854 593 358 163 174 \n", - "6 : 5853 539 393 191 166 \n", - "7 : 5827 593 389 161 172 \n", - "8 : 5840 590 390 163 159 \n", - "9 : 5819 610 385 157 171 \n", - "10 : 5813 608 385 172 164 \n", - "11 : 5764 647 410 166 155 \n", - "12 : 5856 576 347 181 182 \n", - "13 : 5819 619 376 164 176 \n", + "0 : 5794 721 372 129 126 \n", + "1 : 5791 731 341 131 148 \n", + "2 : 5772 734 370 124 142 \n", + "3 : 5817 713 370 119 123 \n", + "4 : 5840 706 312 158 126 \n", + "5 : 5854 711 329 126 122 \n", + "6 : 5838 692 351 150 111 \n", + "7 : 5808 714 366 130 124 \n", + "8 : 5837 687 359 125 134 \n", + "9 : 5840 683 357 131 131 \n", + "10 : 5819 694 377 116 136 \n", + "11 : 5792 724 350 132 144 \n", + "12 : 5849 696 326 123 148 \n", + "13 : 5815 709 359 138 133 \n", "\n", - "T : 81579 8373 5344 2333 2371 [100000]\n", + "T : 81466 9915 4939 1832 1848 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 9.3260e-03 sec\n", - "--- Collate = 5.8971e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 4.6810e-02 sec\n", + "--- Collate = 1.5239e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.426241e-06 < 6.250000e-03 [1418]\n", - "--- Max DT=2.720200e+00 > 1.000000e-01 [68924]\n", + "--- Min DT=3.576058e-07 < 6.250000e-03 [1116]\n", + "--- Max DT=3.052880e+00 > 1.000000e-01 [67700]\n", "----------------------------------------------------------------------\n", - " Component | low: 1418/100000\n", - " Component | high: 68924/100000\n", + " Component | low: 1116/100000\n", + " Component | high: 67700/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=91.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00130835 [ 0.86 %]\n", - "Velocity : 0.00434526 [ 2.86 %]\n", - "Force : 0.0568304 [ 37.44 %]\n", - "Coefs : 0.0210394 [ 13.86 %]\n", - "Output : 0.00166492 [ 1.10 %]\n", - "Levels : 0.000261895 [ 0.17 %]\n", - "Report : 7.81e-07 [ 0.00 %]\n", - "Balance : 2.49e-07 [ 0.00 %]\n", - "Adjust : 0.0663057 [ 43.68 %]\n", - "Total : 0.151807 [100.00 %]\n", + "Drift : 0.000217715 [ 0.01 %]\n", + "Velocity : 0.000944883 [ 0.04 %]\n", + "Force : 0.494184 [ 18.97 %]\n", + "Coefs : 1.57633 [ 60.52 %]\n", + "Output : 0.000660629 [ 0.03 %]\n", + "Levels : 0.000171125 [ 0.01 %]\n", + "Report : 5.24e-07 [ 0.00 %]\n", + "Balance : 2.07e-07 [ 0.00 %]\n", + "Adjust : 0.532224 [ 20.43 %]\n", + "Total : 2.60476 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5844 577 379 177 165 \n", - "1 : 5860 587 383 157 155 \n", - "2 : 5803 608 390 173 168 \n", - "3 : 5842 586 391 140 183 \n", - "4 : 5797 606 393 173 173 \n", - "5 : 5856 597 351 161 177 \n", - "6 : 5858 536 396 188 164 \n", - "7 : 5824 597 382 160 179 \n", - "8 : 5844 589 375 171 163 \n", - "9 : 5816 612 386 156 172 \n", - "10 : 5813 609 384 167 169 \n", - "11 : 5765 644 414 160 159 \n", - "12 : 5856 569 353 189 175 \n", - "13 : 5823 611 381 155 184 \n", + "0 : 5792 721 371 125 133 \n", + "1 : 5787 733 337 132 153 \n", + "2 : 5781 719 370 131 141 \n", + "3 : 5815 712 371 124 120 \n", + "4 : 5838 709 314 150 131 \n", + "5 : 5849 720 332 123 118 \n", + "6 : 5838 687 372 133 112 \n", + "7 : 5811 711 361 139 120 \n", + "8 : 5834 690 359 129 130 \n", + "9 : 5835 684 366 131 126 \n", + "10 : 5819 694 370 120 139 \n", + "11 : 5792 718 354 129 149 \n", + "12 : 5841 701 323 127 150 \n", + "13 : 5811 713 363 141 126 \n", "\n", - "T : 81601 8328 5358 2327 2386 [100000]\n", + "T : 81443 9912 4963 1834 1848 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 1.0282e-02 sec\n", - "--- Collate = 7.0426e-05 sec\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 5.5877e-02 sec\n", + "--- Collate = 1.4186e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.372255e-06 < 6.250000e-03 [1457]\n", - "--- Max DT=2.727103e+00 > 1.000000e-01 [68898]\n", + "--- Min DT=8.712619e-07 < 6.250000e-03 [1099]\n", + "--- Max DT=3.059931e+00 > 1.000000e-01 [67700]\n", "----------------------------------------------------------------------\n", - " Component | low: 1457/100000\n", - " Component | high: 68898/100000\n", + " Component | low: 1099/100000\n", + " Component | high: 67700/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=91.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00129316 [ 0.84 %]\n", - "Velocity : 0.00436609 [ 2.85 %]\n", - "Force : 0.0581419 [ 37.94 %]\n", - "Coefs : 0.0214502 [ 14.00 %]\n", - "Output : 0.00160353 [ 1.05 %]\n", - "Levels : 0.00027522 [ 0.18 %]\n", - "Report : 8.41e-07 [ 0.00 %]\n", - "Balance : 3.09e-07 [ 0.00 %]\n", - "Adjust : 0.0660503 [ 43.10 %]\n", - "Total : 0.153233 [100.00 %]\n", + "Drift : 0.000205197 [ 0.01 %]\n", + "Velocity : 0.000820932 [ 0.03 %]\n", + "Force : 0.464803 [ 17.98 %]\n", + "Coefs : 1.57079 [ 60.77 %]\n", + "Output : 0.000559756 [ 0.02 %]\n", + "Levels : 0.000130625 [ 0.01 %]\n", + "Report : 6.39e-07 [ 0.00 %]\n", + "Balance : 2.69e-07 [ 0.00 %]\n", + "Adjust : 0.547509 [ 21.18 %]\n", + "Total : 2.58485 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5846 572 375 178 171 \n", - "1 : 5861 581 389 155 156 \n", - "2 : 5796 620 386 175 165 \n", - "3 : 5849 573 391 148 181 \n", - "4 : 5797 600 403 171 171 \n", - "5 : 5851 600 361 165 165 \n", - "6 : 5854 543 394 177 174 \n", - "7 : 5825 595 381 159 182 \n", - "8 : 5838 582 381 170 171 \n", - "9 : 5821 594 400 150 177 \n", - "10 : 5815 608 379 168 172 \n", - "11 : 5768 637 414 163 160 \n", - "12 : 5857 563 355 193 174 \n", - "13 : 5814 625 375 148 192 \n", + "0 : 5794 720 369 125 134 \n", + "1 : 5787 728 336 139 152 \n", + "2 : 5775 727 370 134 136 \n", + "3 : 5815 713 376 120 118 \n", + "4 : 5833 708 322 151 128 \n", + "5 : 5850 713 343 123 113 \n", + "6 : 5838 691 367 129 117 \n", + "7 : 5816 710 361 129 126 \n", + "8 : 5832 691 369 126 124 \n", + "9 : 5835 686 363 134 124 \n", + "10 : 5823 692 357 132 138 \n", + "11 : 5792 719 356 118 157 \n", + "12 : 5848 693 320 134 147 \n", + "13 : 5809 716 359 145 125 \n", "\n", - "T : 81592 8293 5384 2320 2411 [100000]\n", + "T : 81447 9907 4968 1839 1839 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.4%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0514e-02 sec\n", - "--- Collate = 7.3784e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 4.2577e-02 sec\n", + "--- Collate = 8.0160e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.112873e-06 < 6.250000e-03 [1449]\n", - "--- Max DT=2.734007e+00 > 1.000000e-01 [68880]\n", + "--- Min DT=4.526175e-06 < 6.250000e-03 [1095]\n", + "--- Max DT=3.066985e+00 > 1.000000e-01 [67708]\n", "----------------------------------------------------------------------\n", - " Component | low: 1449/100000\n", - " Component | high: 68880/100000\n", + " Component | low: 1095/100000\n", + " Component | high: 67708/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=91.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00146274 [ 0.88 %]\n", - "Velocity : 0.00478894 [ 2.89 %]\n", - "Force : 0.0618784 [ 37.34 %]\n", - "Coefs : 0.0229194 [ 13.83 %]\n", - "Output : 0.00165464 [ 1.00 %]\n", - "Levels : 0.000256299 [ 0.15 %]\n", - "Report : 6.91e-07 [ 0.00 %]\n", - "Balance : 2.97e-07 [ 0.00 %]\n", - "Adjust : 0.0726989 [ 43.87 %]\n", - "Total : 0.16572 [100.00 %]\n", + "Drift : 0.000270397 [ 0.01 %]\n", + "Velocity : 0.00116471 [ 0.05 %]\n", + "Force : 0.369206 [ 15.93 %]\n", + "Coefs : 1.48121 [ 63.93 %]\n", + "Output : 0.00051799 [ 0.02 %]\n", + "Levels : 0.000196207 [ 0.01 %]\n", + "Report : 1.151e-06 [ 0.00 %]\n", + "Balance : 3.52e-07 [ 0.00 %]\n", + "Adjust : 0.464413 [ 20.04 %]\n", + "Total : 2.31701 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5839 579 381 169 174 \n", - "1 : 5859 596 375 154 158 \n", - "2 : 5793 627 386 171 165 \n", - "3 : 5845 575 386 161 175 \n", - "4 : 5801 602 397 166 176 \n", - "5 : 5855 598 362 153 174 \n", - "6 : 5856 546 386 171 183 \n", - "7 : 5829 595 375 162 181 \n", - "8 : 5848 569 380 181 164 \n", - "9 : 5815 597 410 135 185 \n", - "10 : 5819 597 386 160 180 \n", - "11 : 5772 632 412 166 160 \n", - "12 : 5860 553 373 180 176 \n", - "13 : 5819 619 388 128 200 \n", + "0 : 5794 720 371 122 135 \n", + "1 : 5785 730 345 133 149 \n", + "2 : 5777 729 365 134 137 \n", + "3 : 5815 715 375 111 126 \n", + "4 : 5834 700 339 139 130 \n", + "5 : 5856 709 341 117 119 \n", + "6 : 5836 698 362 128 118 \n", + "7 : 5817 707 364 131 123 \n", + "8 : 5831 688 374 120 129 \n", + "9 : 5834 692 357 137 122 \n", + "10 : 5811 709 353 133 136 \n", + "11 : 5799 710 361 126 146 \n", + "12 : 5847 696 325 121 153 \n", + "13 : 5814 710 366 141 123 \n", "\n", - "T : 81610 8285 5397 2257 2451 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81450 9913 4998 1793 1846 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 1.0434e-02 sec\n", - "--- Collate = 7.2565e-05 sec\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 5.4623e-02 sec\n", + "--- Collate = 7.0198e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.100857e-06 < 6.250000e-03 [1446]\n", - "--- Max DT=2.740913e+00 > 1.000000e-01 [68858]\n", + "--- Min DT=3.716252e-06 < 6.250000e-03 [1067]\n", + "--- Max DT=3.074040e+00 > 1.000000e-01 [67680]\n", "----------------------------------------------------------------------\n", - " Component | low: 1446/100000\n", - " Component | high: 68858/100000\n", + " Component | low: 1067/100000\n", + " Component | high: 67680/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=91.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00142883 [ 0.86 %]\n", - "Velocity : 0.00468672 [ 2.82 %]\n", - "Force : 0.0615634 [ 37.02 %]\n", - "Coefs : 0.0230499 [ 13.86 %]\n", - "Output : 0.0016563 [ 1.00 %]\n", - "Levels : 0.000261448 [ 0.16 %]\n", - "Report : 6.92e-07 [ 0.00 %]\n", - "Balance : 3.72e-07 [ 0.00 %]\n", - "Adjust : 0.0735716 [ 44.25 %]\n", - "Total : 0.166279 [100.00 %]\n", + "Drift : 0.000560758 [ 0.02 %]\n", + "Velocity : 0.00169947 [ 0.06 %]\n", + "Force : 0.452892 [ 16.99 %]\n", + "Coefs : 1.60481 [ 60.21 %]\n", + "Output : 0.000742391 [ 0.03 %]\n", + "Levels : 0.000248664 [ 0.01 %]\n", + "Report : 1.2e-06 [ 0.00 %]\n", + "Balance : 5.29e-07 [ 0.00 %]\n", + "Adjust : 0.604275 [ 22.67 %]\n", + "Total : 2.66529 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5846 577 375 171 173 \n", - "1 : 5861 591 382 144 164 \n", - "2 : 5799 620 392 164 167 \n", - "3 : 5843 572 392 155 180 \n", - "4 : 5796 608 391 177 170 \n", - "5 : 5856 597 356 166 167 \n", - "6 : 5861 542 380 174 185 \n", - "7 : 5829 589 374 174 176 \n", - "8 : 5849 573 384 177 159 \n", - "9 : 5819 591 409 140 183 \n", - "10 : 5815 601 387 149 190 \n", - "11 : 5773 636 412 163 158 \n", - "12 : 5853 558 368 178 185 \n", - "13 : 5819 617 391 132 195 \n", + "0 : 5799 709 377 124 133 \n", + "1 : 5781 742 337 130 152 \n", + "2 : 5775 726 374 129 138 \n", + "3 : 5815 712 375 118 122 \n", + "4 : 5829 706 336 141 130 \n", + "5 : 5859 705 340 124 114 \n", + "6 : 5835 702 362 122 121 \n", + "7 : 5816 706 370 127 123 \n", + "8 : 5828 685 376 124 129 \n", + "9 : 5834 693 362 129 124 \n", + "10 : 5812 708 354 134 134 \n", + "11 : 5795 725 341 140 141 \n", + "12 : 5852 687 337 119 147 \n", + "13 : 5809 713 366 140 126 \n", "\n", - "T : 81619 8272 5393 2264 2452 [100000]\n", + "T : 81439 9919 5007 1801 1834 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.0183e-02 sec\n", - "--- Collate = 8.3918e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 6.4466e-02 sec\n", + "--- Collate = 6.9924e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.213812e-07 < 6.250000e-03 [1442]\n", - "--- Max DT=2.747822e+00 > 1.000000e-01 [68836]\n", + "--- Min DT=8.500985e-06 < 6.250000e-03 [1089]\n", + "--- Max DT=3.081098e+00 > 1.000000e-01 [67660]\n", "----------------------------------------------------------------------\n", - " Component | low: 1442/100000\n", - " Component | high: 68836/100000\n", + " Component | low: 1089/100000\n", + " Component | high: 67660/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=91.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00142897 [ 0.84 %]\n", - "Velocity : 0.00463028 [ 2.73 %]\n", - "Force : 0.0616362 [ 36.32 %]\n", - "Coefs : 0.0228344 [ 13.45 %]\n", - "Output : 0.00165991 [ 0.98 %]\n", - "Levels : 0.000274277 [ 0.16 %]\n", - "Report : 9.16e-07 [ 0.00 %]\n", - "Balance : 2.87e-07 [ 0.00 %]\n", - "Adjust : 0.0771913 [ 45.48 %]\n", - "Total : 0.169716 [100.00 %]\n", + "Drift : 0.000590506 [ 0.02 %]\n", + "Velocity : 0.00200705 [ 0.06 %]\n", + "Force : 0.602036 [ 16.97 %]\n", + "Coefs : 2.25942 [ 63.69 %]\n", + "Output : 0.00089367 [ 0.03 %]\n", + "Levels : 0.000257093 [ 0.01 %]\n", + "Report : 5.2e-07 [ 0.00 %]\n", + "Balance : 3.16e-07 [ 0.00 %]\n", + "Adjust : 0.682398 [ 19.24 %]\n", + "Total : 3.54766 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5851 580 360 172 179 \n", - "1 : 5862 593 377 141 169 \n", - "2 : 5803 622 396 157 164 \n", - "3 : 5846 565 399 145 187 \n", - "4 : 5795 610 395 180 162 \n", - "5 : 5855 596 366 159 166 \n", - "6 : 5863 539 381 172 187 \n", - "7 : 5828 583 374 179 178 \n", - "8 : 5851 575 380 174 162 \n", - "9 : 5824 586 399 155 178 \n", - "10 : 5813 602 385 155 187 \n", - "11 : 5773 637 412 160 160 \n", - "12 : 5848 552 373 177 192 \n", - "13 : 5827 608 380 160 179 \n", + "0 : 5796 708 378 134 126 \n", + "1 : 5781 736 347 124 154 \n", + "2 : 5780 717 383 128 134 \n", + "3 : 5812 719 360 127 124 \n", + "4 : 5828 703 337 138 136 \n", + "5 : 5858 707 342 115 120 \n", + "6 : 5839 692 367 119 125 \n", + "7 : 5816 704 367 127 128 \n", + "8 : 5826 689 378 124 125 \n", + "9 : 5833 695 355 134 125 \n", + "10 : 5813 711 352 131 135 \n", + "11 : 5797 730 332 147 136 \n", + "12 : 5849 692 330 119 152 \n", + "13 : 5812 717 367 130 128 \n", "\n", - "T : 81639 8248 5377 2286 2450 [100000]\n", + "T : 81440 9920 4995 1797 1848 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0184e-02 sec\n", - "--- Collate = 7.0879e-05 sec\n", + "--- Coef/DT = 28.0%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 5.6386e-02 sec\n", + "--- Collate = 1.1031e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.027975e-07 < 6.250000e-03 [1436]\n", - "--- Max DT=2.754733e+00 > 1.000000e-01 [68818]\n", + "--- Min DT=3.481465e-06 < 6.250000e-03 [1087]\n", + "--- Max DT=3.088157e+00 > 1.000000e-01 [67654]\n", "----------------------------------------------------------------------\n", - " Component | low: 1436/100000\n", - " Component | high: 68818/100000\n", + " Component | low: 1087/100000\n", + " Component | high: 67654/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=91.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00138722 [ 0.85 %]\n", - "Velocity : 0.00466503 [ 2.85 %]\n", - "Force : 0.0616024 [ 37.68 %]\n", - "Coefs : 0.0232199 [ 14.20 %]\n", - "Output : 0.00174681 [ 1.07 %]\n", - "Levels : 0.000233882 [ 0.14 %]\n", - "Report : 8.33e-07 [ 0.00 %]\n", - "Balance : 3.12e-07 [ 0.00 %]\n", - "Adjust : 0.0705664 [ 43.16 %]\n", - "Total : 0.163482 [100.00 %]\n", + "Drift : 0.0007936 [ 0.02 %]\n", + "Velocity : 0.00297254 [ 0.09 %]\n", + "Force : 0.537259 [ 16.14 %]\n", + "Coefs : 2.08457 [ 62.63 %]\n", + "Output : 0.00160866 [ 0.05 %]\n", + "Levels : 0.000299962 [ 0.01 %]\n", + "Report : 9.68e-07 [ 0.00 %]\n", + "Balance : 2.52e-07 [ 0.00 %]\n", + "Adjust : 0.700851 [ 21.06 %]\n", + "Total : 3.3284 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5852 581 360 168 181 \n", - "1 : 5867 585 383 126 181 \n", - "2 : 5807 620 387 159 169 \n", - "3 : 5842 570 403 146 181 \n", - "4 : 5796 615 392 172 167 \n", - "5 : 5856 596 366 153 171 \n", - "6 : 5863 545 372 181 181 \n", - "7 : 5835 581 368 172 186 \n", - "8 : 5850 578 377 171 166 \n", - "9 : 5827 581 401 164 169 \n", - "10 : 5812 602 386 153 189 \n", - "11 : 5782 635 398 157 170 \n", - "12 : 5847 562 362 187 184 \n", - "13 : 5827 599 379 167 182 \n", + "0 : 5808 690 382 135 127 \n", + "1 : 5789 736 331 130 156 \n", + "2 : 5779 712 387 132 132 \n", + "3 : 5812 707 364 141 118 \n", + "4 : 5824 705 337 142 134 \n", + "5 : 5860 701 337 124 120 \n", + "6 : 5833 696 365 121 127 \n", + "7 : 5811 710 363 139 119 \n", + "8 : 5834 683 368 124 133 \n", + "9 : 5837 693 356 127 129 \n", + "10 : 5818 706 349 140 129 \n", + "11 : 5801 725 341 136 139 \n", + "12 : 5856 690 318 118 160 \n", + "13 : 5812 724 353 142 123 \n", "\n", - "T : 81663 8250 5334 2276 2477 [100000]\n", + "T : 81474 9878 4951 1851 1846 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.9%\n", + "--- Coef/DT = 1.5%\n", "--- Adj/Tot = 1.9%\n", - "--- Update = 9.8079e-03 sec\n", - "--- Collate = 6.6661e-05 sec\n", + "--- Update = 6.1337e-02 sec\n", + "--- Collate = 1.0009e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.784964e-07 < 6.250000e-03 [1453]\n", - "--- Max DT=2.761646e+00 > 1.000000e-01 [68807]\n", + "--- Min DT=1.212797e-06 < 6.250000e-03 [1102]\n", + "--- Max DT=3.095219e+00 > 1.000000e-01 [67655]\n", "----------------------------------------------------------------------\n", - " Component | low: 1453/100000\n", - " Component | high: 68807/100000\n", + " Component | low: 1102/100000\n", + " Component | high: 67655/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=91.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0013379 [ 0.83 %]\n", - "Velocity : 0.00433457 [ 2.70 %]\n", - "Force : 0.0610908 [ 38.09 %]\n", - "Coefs : 0.0229521 [ 14.31 %]\n", - "Output : 0.00163537 [ 1.02 %]\n", - "Levels : 0.000234913 [ 0.15 %]\n", - "Report : 5.89e-07 [ 0.00 %]\n", - "Balance : 3.55e-07 [ 0.00 %]\n", - "Adjust : 0.0687086 [ 42.84 %]\n", - "Total : 0.16038 [100.00 %]\n", + "Drift : 0.000541042 [ 0.02 %]\n", + "Velocity : 0.00280215 [ 0.08 %]\n", + "Force : 0.528381 [ 15.49 %]\n", + "Coefs : 2.08633 [ 61.17 %]\n", + "Output : 0.00145022 [ 0.04 %]\n", + "Levels : 0.00030511 [ 0.01 %]\n", + "Report : 8.41e-07 [ 0.00 %]\n", + "Balance : 3.33e-07 [ 0.00 %]\n", + "Adjust : 0.791112 [ 23.19 %]\n", + "Total : 3.41098 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5848 582 364 161 187 \n", - "1 : 5864 585 385 134 174 \n", - "2 : 5804 618 380 168 172 \n", - "3 : 5848 559 405 142 188 \n", - "4 : 5796 615 389 173 169 \n", - "5 : 5853 601 371 146 171 \n", - "6 : 5861 554 361 187 179 \n", - "7 : 5832 590 372 163 185 \n", - "8 : 5848 582 372 177 163 \n", - "9 : 5827 591 386 172 166 \n", - "10 : 5813 605 376 166 182 \n", - "11 : 5780 638 389 161 174 \n", - "12 : 5847 564 364 187 180 \n", - "13 : 5830 597 389 156 182 \n", + "0 : 5813 690 372 151 116 \n", + "1 : 5784 732 339 126 161 \n", + "2 : 5775 713 389 144 121 \n", + "3 : 5815 704 348 149 126 \n", + "4 : 5828 702 349 126 137 \n", + "5 : 5857 707 331 122 125 \n", + "6 : 5830 706 362 116 128 \n", + "7 : 5813 707 368 140 114 \n", + "8 : 5837 679 368 122 136 \n", + "9 : 5828 708 341 135 130 \n", + "10 : 5810 713 343 138 138 \n", + "11 : 5795 735 334 135 143 \n", + "12 : 5854 694 311 130 153 \n", + "13 : 5816 723 352 140 123 \n", "\n", - "T : 81651 8281 5303 2293 2472 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81455 9913 4907 1874 1851 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", + "--- Coef/DT = 1.8%\n", "--- Adj/Tot = 1.9%\n", - "--- Update = 9.9820e-03 sec\n", - "--- Collate = 6.4335e-05 sec\n", + "--- Update = 6.6459e-02 sec\n", + "--- Collate = 2.4908e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.501201e-05 < 6.250000e-03 [1430]\n", - "--- Max DT=2.768561e+00 > 1.000000e-01 [68798]\n", + "--- Min DT=4.893265e-06 < 6.250000e-03 [1115]\n", + "--- Max DT=3.102282e+00 > 1.000000e-01 [67637]\n", "----------------------------------------------------------------------\n", - " Component | low: 1430/100000\n", - " Component | high: 68798/100000\n", + " Component | low: 1115/100000\n", + " Component | high: 67637/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=91.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00139388 [ 0.88 %]\n", - "Velocity : 0.00442677 [ 2.79 %]\n", - "Force : 0.0587096 [ 36.96 %]\n", - "Coefs : 0.0229009 [ 14.42 %]\n", - "Output : 0.00171422 [ 1.08 %]\n", - "Levels : 0.000220886 [ 0.14 %]\n", - "Report : 8.23e-07 [ 0.00 %]\n", - "Balance : 2.8e-07 [ 0.00 %]\n", - "Adjust : 0.0694411 [ 43.71 %]\n", - "Total : 0.158865 [100.00 %]\n", + "Drift : 0.000583749 [ 0.02 %]\n", + "Velocity : 0.00285513 [ 0.08 %]\n", + "Force : 0.548216 [ 14.47 %]\n", + "Coefs : 2.35358 [ 62.12 %]\n", + "Output : 0.0015508 [ 0.04 %]\n", + "Levels : 0.00035393 [ 0.01 %]\n", + "Report : 1.385e-06 [ 0.00 %]\n", + "Balance : 4.36e-07 [ 0.00 %]\n", + "Adjust : 0.881272 [ 23.26 %]\n", + "Total : 3.78847 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5848 577 381 151 185 \n", - "1 : 5871 581 377 143 170 \n", - "2 : 5804 628 377 157 176 \n", - "3 : 5846 563 401 152 180 \n", - "4 : 5795 615 394 159 179 \n", - "5 : 5862 595 368 144 173 \n", - "6 : 5864 552 364 183 179 \n", - "7 : 5829 585 378 163 187 \n", - "8 : 5849 583 378 164 168 \n", - "9 : 5828 589 389 172 164 \n", - "10 : 5813 619 362 162 186 \n", - "11 : 5784 630 390 166 172 \n", - "12 : 5844 564 369 191 174 \n", - "13 : 5827 598 392 150 187 \n", + "0 : 5809 692 379 141 121 \n", + "1 : 5788 731 348 112 163 \n", + "2 : 5774 709 390 152 117 \n", + "3 : 5815 697 352 150 128 \n", + "4 : 5826 697 350 121 148 \n", + "5 : 5858 703 337 118 126 \n", + "6 : 5823 707 367 117 128 \n", + "7 : 5807 714 368 132 121 \n", + "8 : 5832 685 361 133 131 \n", + "9 : 5830 709 337 136 130 \n", + "10 : 5818 704 347 137 136 \n", + "11 : 5798 727 342 123 152 \n", + "12 : 5854 699 307 135 147 \n", + "13 : 5813 725 347 142 127 \n", "\n", - "T : 81664 8279 5320 2257 2480 [100000]\n", + "T : 81445 9899 4932 1849 1875 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 9.4873e-03 sec\n", - "--- Collate = 8.8478e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 5.5471e-02 sec\n", + "--- Collate = 1.3020e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.010044e-06 < 6.250000e-03 [1425]\n", - "--- Max DT=2.775479e+00 > 1.000000e-01 [68781]\n", + "--- Min DT=2.497313e-07 < 6.250000e-03 [1126]\n", + "--- Max DT=3.109348e+00 > 1.000000e-01 [67616]\n", "----------------------------------------------------------------------\n", - " Component | low: 1425/100000\n", - " Component | high: 68781/100000\n", + " Component | low: 1126/100000\n", + " Component | high: 67616/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=91.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0012862 [ 0.85 %]\n", - "Velocity : 0.0037215 [ 2.46 %]\n", - "Force : 0.0568151 [ 37.51 %]\n", - "Coefs : 0.0210882 [ 13.92 %]\n", - "Output : 0.00172208 [ 1.14 %]\n", - "Levels : 0.000252133 [ 0.17 %]\n", - "Report : 7.72e-07 [ 0.00 %]\n", - "Balance : 2.39e-07 [ 0.00 %]\n", - "Adjust : 0.0665151 [ 43.92 %]\n", - "Total : 0.151454 [100.00 %]\n", + "Drift : 0.000596183 [ 0.02 %]\n", + "Velocity : 0.00268967 [ 0.08 %]\n", + "Force : 0.573243 [ 16.01 %]\n", + "Coefs : 2.2677 [ 63.32 %]\n", + "Output : 0.00147958 [ 0.04 %]\n", + "Levels : 0.000354009 [ 0.01 %]\n", + "Report : 1.163e-06 [ 0.00 %]\n", + "Balance : 4.25e-07 [ 0.00 %]\n", + "Adjust : 0.735406 [ 20.53 %]\n", + "Total : 3.58152 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5841 593 365 161 182 \n", - "1 : 5872 580 368 150 172 \n", - "2 : 5807 625 378 155 177 \n", - "3 : 5847 559 402 159 175 \n", - "4 : 5795 608 391 160 188 \n", - "5 : 5859 596 365 143 179 \n", - "6 : 5859 552 359 183 189 \n", - "7 : 5834 580 373 174 181 \n", - "8 : 5859 581 356 175 171 \n", - "9 : 5827 595 388 166 166 \n", - "10 : 5815 611 371 159 186 \n", - "11 : 5786 621 396 159 180 \n", - "12 : 5844 560 378 180 180 \n", - "13 : 5827 605 379 165 178 \n", + "0 : 5806 693 368 150 125 \n", + "1 : 5788 732 342 117 163 \n", + "2 : 5773 713 389 147 120 \n", + "3 : 5808 693 373 138 130 \n", + "4 : 5826 693 367 111 145 \n", + "5 : 5862 699 344 107 130 \n", + "6 : 5826 707 361 113 135 \n", + "7 : 5807 718 357 137 123 \n", + "8 : 5836 683 345 142 136 \n", + "9 : 5830 712 337 133 130 \n", + "10 : 5821 702 341 139 139 \n", + "11 : 5799 723 351 114 155 \n", + "12 : 5855 696 302 141 148 \n", + "13 : 5814 714 358 147 121 \n", "\n", - "T : 81672 8266 5269 2289 2504 [100000]\n", + "T : 81451 9878 4935 1836 1900 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", + "--- Coef/DT = 31.1%\n", "--- Adj/Tot = 1.8%\n", - "--- Update = 9.9961e-03 sec\n", - "--- Collate = 7.6908e-05 sec\n", + "--- Update = 6.0297e-02 sec\n", + "--- Collate = 5.0568e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.290858e-06 < 6.250000e-03 [1423]\n", - "--- Max DT=2.782398e+00 > 1.000000e-01 [68765]\n", + "--- Min DT=1.545945e-06 < 6.250000e-03 [1150]\n", + "--- Max DT=3.116415e+00 > 1.000000e-01 [67604]\n", "----------------------------------------------------------------------\n", - " Component | low: 1423/100000\n", - " Component | high: 68765/100000\n", + " Component | low: 1150/100000\n", + " Component | high: 67604/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=92] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00128418 [ 0.83 %]\n", - "Velocity : 0.00444053 [ 2.85 %]\n", - "Force : 0.0558291 [ 35.89 %]\n", - "Coefs : 0.0215539 [ 13.86 %]\n", - "Output : 0.00647498 [ 4.16 %]\n", - "Levels : 0.000230328 [ 0.15 %]\n", - "Report : 9.61e-07 [ 0.00 %]\n", - "Balance : 8.99e-07 [ 0.00 %]\n", - "Adjust : 0.0656748 [ 42.22 %]\n", - "Total : 0.155544 [100.00 %]\n", + "Drift : 0.00058787 [ 0.02 %]\n", + "Velocity : 0.00278654 [ 0.09 %]\n", + "Force : 0.506094 [ 16.52 %]\n", + "Coefs : 1.92024 [ 62.68 %]\n", + "Output : 0.0072861 [ 0.24 %]\n", + "Levels : 0.000461883 [ 0.02 %]\n", + "Report : 1.121e-06 [ 0.00 %]\n", + "Balance : 5.57e-07 [ 0.00 %]\n", + "Adjust : 0.62591 [ 20.43 %]\n", + "Total : 3.06342 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5845 591 355 166 185 \n", - "1 : 5878 575 363 156 170 \n", - "2 : 5806 628 370 159 179 \n", - "3 : 5842 556 409 159 176 \n", - "4 : 5789 610 396 167 180 \n", - "5 : 5858 598 367 146 173 \n", - "6 : 5859 553 362 174 194 \n", - "7 : 5835 577 371 177 182 \n", - "8 : 5857 579 361 168 177 \n", - "9 : 5827 598 385 167 165 \n", - "10 : 5813 603 387 160 179 \n", - "11 : 5784 616 398 170 174 \n", - "12 : 5844 554 396 165 183 \n", - "13 : 5823 613 377 176 165 \n", + "0 : 5804 692 369 146 131 \n", + "1 : 5779 744 344 111 164 \n", + "2 : 5768 716 392 134 132 \n", + "3 : 5807 686 384 131 134 \n", + "4 : 5825 689 376 105 147 \n", + "5 : 5861 701 333 120 127 \n", + "6 : 5825 715 354 110 138 \n", + "7 : 5805 719 363 133 122 \n", + "8 : 5835 679 347 143 138 \n", + "9 : 5829 711 340 136 126 \n", + "10 : 5825 694 344 143 136 \n", + "11 : 5801 719 351 113 158 \n", + "12 : 5858 693 303 142 146 \n", + "13 : 5813 709 361 143 128 \n", "\n", - "T : 81660 8251 5297 2310 2482 [100000]\n", + "T : 81435 9867 4961 1810 1927 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.6%\n", - "--- Adj/Tot = 1.8%\n", - "--- Update = 9.2343e-03 sec\n", - "--- Collate = 8.3519e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 5.0476e-02 sec\n", + "--- Collate = 8.0219e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.177193e-06 < 6.250000e-03 [1439]\n", - "--- Max DT=2.789320e+00 > 1.000000e-01 [68752]\n", + "--- Min DT=6.998015e-07 < 6.250000e-03 [1143]\n", + "--- Max DT=3.123484e+00 > 1.000000e-01 [67605]\n", "----------------------------------------------------------------------\n", - " Component | low: 1439/100000\n", - " Component | high: 68752/100000\n", + " Component | low: 1143/100000\n", + " Component | high: 67605/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=92.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00131679 [ 0.86 %]\n", - "Velocity : 0.00449936 [ 2.95 %]\n", - "Force : 0.0576772 [ 37.80 %]\n", - "Coefs : 0.0214335 [ 14.05 %]\n", - "Output : 0.00174709 [ 1.14 %]\n", - "Levels : 0.000218592 [ 0.14 %]\n", - "Report : 8.59e-07 [ 0.00 %]\n", - "Balance : 2.78e-07 [ 0.00 %]\n", - "Adjust : 0.0656603 [ 43.03 %]\n", - "Total : 0.152604 [100.00 %]\n", + "Drift : 0.000766133 [ 0.02 %]\n", + "Velocity : 0.00256354 [ 0.08 %]\n", + "Force : 0.565943 [ 17.06 %]\n", + "Coefs : 2.05333 [ 61.88 %]\n", + "Output : 0.00138053 [ 0.04 %]\n", + "Levels : 0.000455591 [ 0.01 %]\n", + "Report : 8.58e-07 [ 0.00 %]\n", + "Balance : 3.35e-07 [ 0.00 %]\n", + "Adjust : 0.693595 [ 20.90 %]\n", + "Total : 3.31809 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5851 584 357 174 176 \n", - "1 : 5884 578 357 157 166 \n", - "2 : 5809 624 367 165 177 \n", - "3 : 5843 551 409 153 186 \n", - "4 : 5792 616 388 169 177 \n", - "5 : 5857 594 367 150 174 \n", - "6 : 5858 561 346 187 190 \n", - "7 : 5838 582 365 170 187 \n", - "8 : 5862 575 357 179 169 \n", - "9 : 5834 589 390 170 159 \n", - "10 : 5812 611 375 169 175 \n", - "11 : 5786 609 406 162 179 \n", - "12 : 5842 559 401 154 186 \n", - "13 : 5826 614 367 179 168 \n", + "0 : 5806 688 375 144 129 \n", + "1 : 5770 745 359 115 153 \n", + "2 : 5768 717 390 130 137 \n", + "3 : 5809 681 378 138 136 \n", + "4 : 5826 686 376 107 147 \n", + "5 : 5865 697 326 125 129 \n", + "6 : 5825 717 353 106 141 \n", + "7 : 5807 721 359 132 123 \n", + "8 : 5831 685 338 145 143 \n", + "9 : 5834 704 346 126 132 \n", + "10 : 5826 695 343 142 136 \n", + "11 : 5799 708 364 118 153 \n", + "12 : 5862 680 313 137 150 \n", + "13 : 5818 701 363 136 136 \n", "\n", - "T : 81694 8247 5252 2338 2469 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81446 9825 4983 1801 1945 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.0%\n", + "--- Coef/DT = 23.6%\n", "--- Adj/Tot = 1.9%\n", - "--- Update = 9.3601e-03 sec\n", - "--- Collate = 6.0956e-05 sec\n", + "--- Update = 6.2139e-02 sec\n", + "--- Collate = 7.0299e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.356939e-06 < 6.250000e-03 [1458]\n", - "--- Max DT=2.796243e+00 > 1.000000e-01 [68721]\n", + "--- Min DT=2.906874e-06 < 6.250000e-03 [1143]\n", + "--- Max DT=3.130556e+00 > 1.000000e-01 [67584]\n", "----------------------------------------------------------------------\n", - " Component | low: 1458/100000\n", - " Component | high: 68721/100000\n", + " Component | low: 1143/100000\n", + " Component | high: 67584/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=92.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00127068 [ 0.85 %]\n", - "Velocity : 0.00416409 [ 2.77 %]\n", - "Force : 0.0560273 [ 37.30 %]\n", - "Coefs : 0.0209065 [ 13.92 %]\n", - "Output : 0.00162752 [ 1.08 %]\n", - "Levels : 0.000244549 [ 0.16 %]\n", - "Report : 8.83e-07 [ 0.00 %]\n", - "Balance : 2.65e-07 [ 0.00 %]\n", - "Adjust : 0.0658937 [ 43.87 %]\n", - "Total : 0.150206 [100.00 %]\n", + "Drift : 0.00060938 [ 0.02 %]\n", + "Velocity : 0.00317414 [ 0.09 %]\n", + "Force : 0.589372 [ 16.22 %]\n", + "Coefs : 2.2703 [ 62.49 %]\n", + "Output : 0.0014079 [ 0.04 %]\n", + "Levels : 0.000247603 [ 0.01 %]\n", + "Report : 1.304e-06 [ 0.00 %]\n", + "Balance : 3.54e-07 [ 0.00 %]\n", + "Adjust : 0.76818 [ 21.14 %]\n", + "Total : 3.63336 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5850 588 353 176 175 \n", - "1 : 5879 580 351 165 167 \n", - "2 : 5805 628 362 165 182 \n", - "3 : 5841 550 410 151 190 \n", - "4 : 5787 627 381 171 176 \n", - "5 : 5862 589 371 153 167 \n", - "6 : 5854 559 358 178 193 \n", - "7 : 5838 585 362 176 181 \n", - "8 : 5858 578 363 178 165 \n", - "9 : 5836 588 381 170 167 \n", - "10 : 5815 605 389 167 166 \n", - "11 : 5794 597 413 167 171 \n", - "12 : 5843 556 404 151 188 \n", - "13 : 5819 620 369 180 166 \n", + "0 : 5806 690 375 141 130 \n", + "1 : 5768 749 348 131 146 \n", + "2 : 5764 726 389 124 139 \n", + "3 : 5809 680 379 135 139 \n", + "4 : 5831 673 384 115 139 \n", + "5 : 5863 701 318 122 138 \n", + "6 : 5823 719 351 105 144 \n", + "7 : 5802 732 347 129 132 \n", + "8 : 5831 684 331 149 147 \n", + "9 : 5837 695 355 126 129 \n", + "10 : 5823 697 351 132 139 \n", + "11 : 5805 702 367 116 152 \n", + "12 : 5860 680 328 127 147 \n", + "13 : 5815 705 359 136 139 \n", "\n", - "T : 81681 8250 5267 2348 2454 [100000]\n", + "T : 81437 9833 4982 1788 1960 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 8.1767e-03 sec\n", - "--- Collate = 6.3997e-05 sec\n", + "--- Coef/DT = 29.8%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 6.0504e-02 sec\n", + "--- Collate = 6.0293e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.277884e-06 < 6.250000e-03 [1435]\n", - "--- Max DT=2.803169e+00 > 1.000000e-01 [68706]\n", + "--- Min DT=3.614958e-07 < 6.250000e-03 [1139]\n", + "--- Max DT=3.137629e+00 > 1.000000e-01 [67568]\n", "----------------------------------------------------------------------\n", - " Component | low: 1435/100000\n", - " Component | high: 68706/100000\n", + " Component | low: 1139/100000\n", + " Component | high: 67568/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=92.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00130181 [ 0.88 %]\n", - "Velocity : 0.00411043 [ 2.77 %]\n", - "Force : 0.056125 [ 37.77 %]\n", - "Coefs : 0.02082 [ 14.01 %]\n", - "Output : 0.00166964 [ 1.12 %]\n", - "Levels : 0.000236437 [ 0.16 %]\n", - "Report : 5.86e-07 [ 0.00 %]\n", - "Balance : 3e-07 [ 0.00 %]\n", - "Adjust : 0.0642941 [ 43.26 %]\n", - "Total : 0.148612 [100.00 %]\n", + "Drift : 0.000757593 [ 0.02 %]\n", + "Velocity : 0.00323614 [ 0.10 %]\n", + "Force : 0.580024 [ 17.71 %]\n", + "Coefs : 1.93805 [ 59.19 %]\n", + "Output : 0.00131192 [ 0.04 %]\n", + "Levels : 0.000252637 [ 0.01 %]\n", + "Report : 1.123e-06 [ 0.00 %]\n", + "Balance : 4.46e-07 [ 0.00 %]\n", + "Adjust : 0.750572 [ 22.92 %]\n", + "Total : 3.27426 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5850 587 357 158 190 \n", - "1 : 5877 575 359 166 165 \n", - "2 : 5807 625 353 179 178 \n", - "3 : 5843 548 401 175 175 \n", - "4 : 5789 621 390 162 180 \n", - "5 : 5859 592 374 149 168 \n", - "6 : 5851 556 367 175 193 \n", - "7 : 5839 585 369 179 170 \n", - "8 : 5857 569 376 164 176 \n", - "9 : 5833 596 383 158 172 \n", - "10 : 5815 613 380 164 170 \n", - "11 : 5797 593 418 162 172 \n", - "12 : 5845 558 403 154 182 \n", - "13 : 5817 625 369 176 167 \n", + "0 : 5810 691 378 131 132 \n", + "1 : 5764 752 347 141 138 \n", + "2 : 5761 734 387 124 136 \n", + "3 : 5815 678 372 143 134 \n", + "4 : 5831 679 373 121 138 \n", + "5 : 5855 706 327 116 138 \n", + "6 : 5828 711 358 104 141 \n", + "7 : 5805 729 346 138 124 \n", + "8 : 5831 684 333 142 152 \n", + "9 : 5833 696 359 124 130 \n", + "10 : 5825 693 351 133 140 \n", + "11 : 5803 706 362 119 152 \n", + "12 : 5856 681 329 126 150 \n", + "13 : 5817 703 353 131 150 \n", "\n", - "T : 81679 8243 5299 2321 2458 [100000]\n", + "T : 81434 9843 4975 1793 1955 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.6%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 9.3446e-03 sec\n", - "--- Collate = 6.0549e-05 sec\n", + "--- Coef/DT = 37.1%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 6.0631e-02 sec\n", + "--- Collate = 1.4012e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.458462e-06 < 6.250000e-03 [1396]\n", - "--- Max DT=2.810097e+00 > 1.000000e-01 [68691]\n", + "--- Min DT=1.100852e-06 < 6.250000e-03 [1120]\n", + "--- Max DT=3.144704e+00 > 1.000000e-01 [67587]\n", "----------------------------------------------------------------------\n", - " Component | low: 1396/100000\n", - " Component | high: 68691/100000\n", + " Component | low: 1120/100000\n", + " Component | high: 67587/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=92.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00133243 [ 0.89 %]\n", - "Velocity : 0.00427841 [ 2.86 %]\n", - "Force : 0.0565145 [ 37.84 %]\n", - "Coefs : 0.0206962 [ 13.86 %]\n", - "Output : 0.00155689 [ 1.04 %]\n", - "Levels : 0.000258932 [ 0.17 %]\n", - "Report : 5.11e-07 [ 0.00 %]\n", - "Balance : 2.33e-07 [ 0.00 %]\n", - "Adjust : 0.0646583 [ 43.29 %]\n", - "Total : 0.149348 [100.00 %]\n", + "Drift : 0.000513104 [ 0.01 %]\n", + "Velocity : 0.00196867 [ 0.05 %]\n", + "Force : 0.59352 [ 16.48 %]\n", + "Coefs : 2.32688 [ 64.61 %]\n", + "Output : 0.00109073 [ 0.03 %]\n", + "Levels : 0.000255949 [ 0.01 %]\n", + "Report : 9.42e-07 [ 0.00 %]\n", + "Balance : 5.47e-07 [ 0.00 %]\n", + "Adjust : 0.677302 [ 18.81 %]\n", + "Total : 3.60158 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5852 585 354 159 192 \n", - "1 : 5875 578 360 163 166 \n", - "2 : 5806 635 343 187 171 \n", - "3 : 5845 548 400 176 173 \n", - "4 : 5783 629 387 160 183 \n", - "5 : 5855 598 371 148 170 \n", - "6 : 5856 548 376 171 191 \n", - "7 : 5839 582 370 175 176 \n", - "8 : 5859 564 383 168 168 \n", - "9 : 5832 601 382 155 172 \n", - "10 : 5811 606 396 160 169 \n", - "11 : 5791 587 433 170 161 \n", - "12 : 5841 574 394 156 177 \n", - "13 : 5820 618 381 164 171 \n", + "0 : 5807 702 369 129 135 \n", + "1 : 5763 752 347 147 133 \n", + "2 : 5755 727 402 126 132 \n", + "3 : 5818 678 374 123 149 \n", + "4 : 5826 684 373 126 133 \n", + "5 : 5852 704 333 106 147 \n", + "6 : 5827 703 365 106 141 \n", + "7 : 5808 729 352 121 132 \n", + "8 : 5832 681 342 133 154 \n", + "9 : 5836 686 365 129 126 \n", + "10 : 5823 697 351 134 137 \n", + "11 : 5802 706 362 127 145 \n", + "12 : 5853 682 329 124 154 \n", + "13 : 5814 712 355 126 147 \n", "\n", - "T : 81665 8253 5330 2312 2440 [100000]\n", + "T : 81416 9843 5019 1757 1965 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 9.5872e-03 sec\n", - "--- Collate = 5.6747e-05 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 6.0569e-02 sec\n", + "--- Collate = 1.6010e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.038004e-05 < 6.250000e-03 [1413]\n", - "--- Max DT=2.817027e+00 > 1.000000e-01 [68709]\n", + "--- Min DT=1.839717e-06 < 6.250000e-03 [1146]\n", + "--- Max DT=3.151781e+00 > 1.000000e-01 [67580]\n", "----------------------------------------------------------------------\n", - " Component | low: 1413/100000\n", - " Component | high: 68709/100000\n", + " Component | low: 1146/100000\n", + " Component | high: 67580/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=92.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0012994 [ 0.87 %]\n", - "Velocity : 0.0043131 [ 2.89 %]\n", - "Force : 0.0558441 [ 37.37 %]\n", - "Coefs : 0.0210873 [ 14.11 %]\n", - "Output : 0.00160019 [ 1.07 %]\n", - "Levels : 0.000214303 [ 0.14 %]\n", - "Report : 7.5e-07 [ 0.00 %]\n", - "Balance : 2.63e-07 [ 0.00 %]\n", - "Adjust : 0.0649869 [ 43.49 %]\n", - "Total : 0.149426 [100.00 %]\n", + "Drift : 0.000487538 [ 0.01 %]\n", + "Velocity : 0.00197858 [ 0.05 %]\n", + "Force : 0.55496 [ 15.18 %]\n", + "Coefs : 2.32559 [ 63.60 %]\n", + "Output : 0.000840005 [ 0.02 %]\n", + "Levels : 0.000217027 [ 0.01 %]\n", + "Report : 1.22e-06 [ 0.00 %]\n", + "Balance : 3.86e-07 [ 0.00 %]\n", + "Adjust : 0.772519 [ 21.13 %]\n", + "Total : 3.65664 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5857 577 354 160 194 \n", - "1 : 5874 574 371 156 167 \n", - "2 : 5808 631 336 201 166 \n", - "3 : 5845 549 397 154 197 \n", - "4 : 5783 627 394 161 177 \n", - "5 : 5852 608 362 160 160 \n", - "6 : 5851 561 364 176 190 \n", - "7 : 5843 579 372 172 176 \n", - "8 : 5859 565 373 183 162 \n", - "9 : 5833 602 380 153 174 \n", - "10 : 5811 604 393 171 163 \n", - "11 : 5796 584 425 180 157 \n", - "12 : 5844 576 379 167 176 \n", - "13 : 5820 617 379 163 175 \n", + "0 : 5818 693 366 126 139 \n", + "1 : 5768 740 358 144 132 \n", + "2 : 5755 729 383 137 138 \n", + "3 : 5814 680 371 127 150 \n", + "4 : 5825 686 377 109 145 \n", + "5 : 5853 699 334 107 149 \n", + "6 : 5827 704 357 118 136 \n", + "7 : 5804 730 354 123 131 \n", + "8 : 5833 678 341 138 152 \n", + "9 : 5836 684 365 134 123 \n", + "10 : 5825 690 355 138 134 \n", + "11 : 5797 715 350 137 143 \n", + "12 : 5845 688 336 118 155 \n", + "13 : 5817 711 351 128 147 \n", "\n", - "T : 81676 8254 5279 2357 2434 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81417 9827 4998 1784 1974 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.3%\n", - "--- Adj/Tot = 1.9%\n", - "--- Update = 9.6304e-03 sec\n", - "--- Collate = 7.3480e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 4.4558e-02 sec\n", + "--- Collate = 6.0384e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.595227e-06 < 6.250000e-03 [1415]\n", - "--- Max DT=2.823960e+00 > 1.000000e-01 [68691]\n", + "--- Min DT=9.112549e-06 < 6.250000e-03 [1163]\n", + "--- Max DT=3.158860e+00 > 1.000000e-01 [67576]\n", "----------------------------------------------------------------------\n", - " Component | low: 1415/100000\n", - " Component | high: 68691/100000\n", + " Component | low: 1163/100000\n", + " Component | high: 67576/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=92.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00134299 [ 0.88 %]\n", - "Velocity : 0.0044135 [ 2.89 %]\n", - "Force : 0.057244 [ 37.52 %]\n", - "Coefs : 0.0219405 [ 14.38 %]\n", - "Output : 0.00159762 [ 1.05 %]\n", - "Levels : 0.000210029 [ 0.14 %]\n", - "Report : 8.66e-07 [ 0.00 %]\n", - "Balance : 2.79e-07 [ 0.00 %]\n", - "Adjust : 0.0657857 [ 43.11 %]\n", - "Total : 0.152588 [100.00 %]\n", + "Drift : 0.000517754 [ 0.01 %]\n", + "Velocity : 0.00168728 [ 0.05 %]\n", + "Force : 0.652407 [ 18.21 %]\n", + "Coefs : 2.17285 [ 60.66 %]\n", + "Output : 0.000819816 [ 0.02 %]\n", + "Levels : 0.000255646 [ 0.01 %]\n", + "Report : 1.51e-06 [ 0.00 %]\n", + "Balance : 5.19e-07 [ 0.00 %]\n", + "Adjust : 0.753508 [ 21.04 %]\n", + "Total : 3.5821 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5857 582 353 152 198 \n", - "1 : 5869 574 376 151 172 \n", - "2 : 5808 629 336 193 176 \n", - "3 : 5843 550 391 177 181 \n", - "4 : 5792 623 384 163 180 \n", - "5 : 5856 600 369 156 161 \n", - "6 : 5851 564 363 180 184 \n", - "7 : 5841 582 373 175 171 \n", - "8 : 5851 569 374 182 166 \n", - "9 : 5829 612 369 159 173 \n", - "10 : 5819 603 381 181 158 \n", - "11 : 5790 591 413 190 158 \n", - "12 : 5843 580 377 160 182 \n", - "13 : 5816 624 378 162 174 \n", + "0 : 5813 697 371 128 133 \n", + "1 : 5778 729 364 133 138 \n", + "2 : 5756 725 393 127 141 \n", + "3 : 5811 682 370 126 153 \n", + "4 : 5825 684 372 115 146 \n", + "5 : 5850 703 336 106 147 \n", + "6 : 5830 696 358 115 143 \n", + "7 : 5804 731 357 118 132 \n", + "8 : 5833 677 334 143 155 \n", + "9 : 5838 682 366 137 119 \n", + "10 : 5826 689 358 136 133 \n", + "11 : 5798 713 355 140 136 \n", + "12 : 5848 689 336 118 151 \n", + "13 : 5812 710 355 134 143 \n", "\n", - "T : 81665 8283 5237 2381 2434 [100000]\n", + "T : 81422 9807 5025 1776 1970 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 9.3989e-03 sec\n", - "--- Collate = 6.1565e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 6.8560e-02 sec\n", + "--- Collate = 8.0505e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.362028e-06 < 6.250000e-03 [1447]\n", - "--- Max DT=2.830894e+00 > 1.000000e-01 [68669]\n", + "--- Min DT=1.766443e-07 < 6.250000e-03 [1155]\n", + "--- Max DT=3.165941e+00 > 1.000000e-01 [67577]\n", "----------------------------------------------------------------------\n", - " Component | low: 1447/100000\n", - " Component | high: 68669/100000\n", + " Component | low: 1155/100000\n", + " Component | high: 67577/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=92.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00135886 [ 0.89 %]\n", - "Velocity : 0.00438898 [ 2.87 %]\n", - "Force : 0.0566036 [ 37.00 %]\n", - "Coefs : 0.0217584 [ 14.22 %]\n", - "Output : 0.00173291 [ 1.13 %]\n", - "Levels : 0.000245453 [ 0.16 %]\n", - "Report : 7.43e-07 [ 0.00 %]\n", - "Balance : 3.08e-07 [ 0.00 %]\n", - "Adjust : 0.0668245 [ 43.69 %]\n", - "Total : 0.152967 [100.00 %]\n", + "Drift : 0.00046875 [ 0.02 %]\n", + "Velocity : 0.00150803 [ 0.05 %]\n", + "Force : 0.540539 [ 17.68 %]\n", + "Coefs : 1.85209 [ 60.57 %]\n", + "Output : 0.000780877 [ 0.03 %]\n", + "Levels : 0.00021969 [ 0.01 %]\n", + "Report : 1.053e-06 [ 0.00 %]\n", + "Balance : 3.67e-07 [ 0.00 %]\n", + "Adjust : 0.661944 [ 21.65 %]\n", + "Total : 3.0576 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5852 590 355 151 194 \n", - "1 : 5872 568 380 149 173 \n", - "2 : 5815 619 349 183 176 \n", - "3 : 5836 561 382 194 169 \n", - "4 : 5788 625 387 159 183 \n", - "5 : 5852 607 367 161 155 \n", - "6 : 5854 559 371 170 188 \n", - "7 : 5840 586 358 186 172 \n", - "8 : 5853 567 377 177 168 \n", - "9 : 5831 613 360 166 172 \n", - "10 : 5819 605 378 176 164 \n", - "11 : 5797 589 408 187 161 \n", - "12 : 5842 584 376 151 189 \n", - "13 : 5815 621 379 168 171 \n", + "0 : 5816 702 369 119 136 \n", + "1 : 5776 727 373 134 132 \n", + "2 : 5755 725 385 140 137 \n", + "3 : 5815 678 360 141 148 \n", + "4 : 5822 680 371 128 141 \n", + "5 : 5854 694 335 122 137 \n", + "6 : 5824 705 355 112 146 \n", + "7 : 5801 730 362 123 126 \n", + "8 : 5836 678 331 142 155 \n", + "9 : 5835 680 375 135 117 \n", + "10 : 5829 677 364 136 136 \n", + "11 : 5801 711 362 131 137 \n", + "12 : 5850 692 341 106 153 \n", + "13 : 5814 704 356 138 142 \n", "\n", - "T : 81666 8294 5227 2378 2435 [100000]\n", + "T : 81428 9783 5039 1807 1943 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.7%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.0343e-02 sec\n", - "--- Collate = 8.4817e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 6.3581e-02 sec\n", + "--- Collate = 4.2938e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.517015e-06 < 6.250000e-03 [1433]\n", - "--- Max DT=2.837830e+00 > 1.000000e-01 [68658]\n", + "--- Min DT=1.056789e-06 < 6.250000e-03 [1163]\n", + "--- Max DT=3.173024e+00 > 1.000000e-01 [67554]\n", "----------------------------------------------------------------------\n", - " Component | low: 1433/100000\n", - " Component | high: 68658/100000\n", + " Component | low: 1163/100000\n", + " Component | high: 67554/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=92.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00138589 [ 0.85 %]\n", - "Velocity : 0.00454663 [ 2.79 %]\n", - "Force : 0.0604162 [ 37.07 %]\n", - "Coefs : 0.0221856 [ 13.61 %]\n", - "Output : 0.00180098 [ 1.11 %]\n", - "Levels : 0.000297911 [ 0.18 %]\n", - "Report : 9.52e-07 [ 0.00 %]\n", - "Balance : 3.54e-07 [ 0.00 %]\n", - "Adjust : 0.0722778 [ 44.35 %]\n", - "Total : 0.162967 [100.00 %]\n", + "Drift : 0.000468693 [ 0.01 %]\n", + "Velocity : 0.00185406 [ 0.05 %]\n", + "Force : 0.51302 [ 14.96 %]\n", + "Coefs : 2.20511 [ 64.30 %]\n", + "Output : 0.000952034 [ 0.03 %]\n", + "Levels : 0.00873479 [ 0.25 %]\n", + "Report : 7.19e-07 [ 0.00 %]\n", + "Balance : 3.24e-07 [ 0.00 %]\n", + "Adjust : 0.698976 [ 20.38 %]\n", + "Total : 3.42917 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5855 590 343 164 190 \n", - "1 : 5863 577 386 142 174 \n", - "2 : 5814 619 357 175 177 \n", - "3 : 5835 568 377 193 169 \n", - "4 : 5785 629 388 166 174 \n", - "5 : 5853 599 369 161 160 \n", - "6 : 5851 556 380 171 184 \n", - "7 : 5840 589 349 189 175 \n", - "8 : 5853 568 371 185 165 \n", - "9 : 5831 611 360 171 169 \n", - "10 : 5812 607 390 162 171 \n", - "11 : 5791 599 407 169 176 \n", - "12 : 5841 580 382 151 188 \n", - "13 : 5817 627 370 171 169 \n", + "0 : 5811 705 364 121 141 \n", + "1 : 5777 721 383 131 130 \n", + "2 : 5761 726 369 152 134 \n", + "3 : 5814 677 360 147 144 \n", + "4 : 5819 683 369 136 135 \n", + "5 : 5851 697 340 120 134 \n", + "6 : 5825 703 350 125 139 \n", + "7 : 5798 736 359 117 132 \n", + "8 : 5836 676 345 126 159 \n", + "9 : 5836 681 371 127 127 \n", + "10 : 5834 670 369 128 141 \n", + "11 : 5799 714 363 130 136 \n", + "12 : 5849 695 336 115 147 \n", + "13 : 5811 698 372 131 142 \n", "\n", - "T : 81641 8319 5229 2370 2441 [100000]\n", + "T : 81421 9782 5050 1806 1941 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.6%\n", + "--- Coef/DT = 1.6%\n", "--- Adj/Tot = 1.9%\n", - "--- Update = 1.0081e-02 sec\n", - "--- Collate = 8.1385e-05 sec\n", + "--- Update = 4.6925e-02 sec\n", + "--- Collate = 7.0200e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.142705e-07 < 6.250000e-03 [1448]\n", - "--- Max DT=2.844769e+00 > 1.000000e-01 [68635]\n", + "--- Min DT=6.302472e-06 < 6.250000e-03 [1142]\n", + "--- Max DT=3.180109e+00 > 1.000000e-01 [67563]\n", "----------------------------------------------------------------------\n", - " Component | low: 1448/100000\n", - " Component | high: 68635/100000\n", + " Component | low: 1142/100000\n", + " Component | high: 67563/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=92.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00122816 [ 0.75 %]\n", - "Velocity : 0.00484391 [ 2.95 %]\n", - "Force : 0.0608521 [ 37.10 %]\n", - "Coefs : 0.0235233 [ 14.34 %]\n", - "Output : 0.00158166 [ 0.96 %]\n", - "Levels : 0.000252011 [ 0.15 %]\n", - "Report : 5.98e-07 [ 0.00 %]\n", - "Balance : 3.39e-07 [ 0.00 %]\n", - "Adjust : 0.0716678 [ 43.70 %]\n", - "Total : 0.164004 [100.00 %]\n", + "Drift : 0.000796939 [ 0.03 %]\n", + "Velocity : 0.00365854 [ 0.12 %]\n", + "Force : 0.532089 [ 17.70 %]\n", + "Coefs : 1.77657 [ 59.11 %]\n", + "Output : 0.00157573 [ 0.05 %]\n", + "Levels : 0.000274309 [ 0.01 %]\n", + "Report : 4.7e-07 [ 0.00 %]\n", + "Balance : 3.43e-07 [ 0.00 %]\n", + "Adjust : 0.690687 [ 22.98 %]\n", + "Total : 3.00571 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5850 592 350 160 190 \n", - "1 : 5859 582 381 150 170 \n", - "2 : 5812 613 367 180 170 \n", - "3 : 5836 573 374 184 175 \n", - "4 : 5781 633 391 159 178 \n", - "5 : 5857 589 372 172 152 \n", - "6 : 5847 565 375 172 183 \n", - "7 : 5850 572 366 191 163 \n", - "8 : 5846 577 367 184 168 \n", - "9 : 5824 616 368 168 166 \n", - "10 : 5809 614 385 161 173 \n", - "11 : 5791 599 399 180 173 \n", - "12 : 5843 574 385 146 194 \n", - "13 : 5819 630 358 184 163 \n", + "0 : 5808 702 374 111 147 \n", + "1 : 5783 719 381 131 128 \n", + "2 : 5761 722 375 151 133 \n", + "3 : 5814 684 349 146 149 \n", + "4 : 5819 682 368 142 131 \n", + "5 : 5854 694 339 127 128 \n", + "6 : 5820 711 343 130 138 \n", + "7 : 5792 739 355 122 134 \n", + "8 : 5837 675 347 126 157 \n", + "9 : 5837 680 365 129 131 \n", + "10 : 5839 662 372 133 136 \n", + "11 : 5798 717 362 130 135 \n", + "12 : 5850 688 348 113 143 \n", + "13 : 5804 705 372 125 148 \n", "\n", - "T : 81624 8329 5238 2391 2418 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81416 9780 5050 1816 1938 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.7%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 9.9977e-03 sec\n", - "--- Collate = 7.7037e-05 sec\n", + "--- Coef/DT = 2.2%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 5.3553e-02 sec\n", + "--- Collate = 8.0210e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.052663e-06 < 6.250000e-03 [1433]\n", - "--- Max DT=2.851710e+00 > 1.000000e-01 [68625]\n", + "--- Min DT=3.625344e-06 < 6.250000e-03 [1148]\n", + "--- Max DT=3.187196e+00 > 1.000000e-01 [67562]\n", "----------------------------------------------------------------------\n", - " Component | low: 1433/100000\n", - " Component | high: 68625/100000\n", + " Component | low: 1148/100000\n", + " Component | high: 67562/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=93] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00140796 [ 0.84 %]\n", - "Velocity : 0.00446411 [ 2.66 %]\n", - "Force : 0.0608481 [ 36.30 %]\n", - "Coefs : 0.0233615 [ 13.94 %]\n", - "Output : 0.00693765 [ 4.14 %]\n", - "Levels : 0.000240057 [ 0.14 %]\n", - "Report : 1.131e-06 [ 0.00 %]\n", - "Balance : 8.59e-07 [ 0.00 %]\n", - "Adjust : 0.0703249 [ 41.95 %]\n", - "Total : 0.167642 [100.00 %]\n", + "Drift : 0.000530114 [ 0.02 %]\n", + "Velocity : 0.00248503 [ 0.08 %]\n", + "Force : 0.557136 [ 16.96 %]\n", + "Coefs : 1.97449 [ 60.10 %]\n", + "Output : 0.00962756 [ 0.29 %]\n", + "Levels : 0.000275858 [ 0.01 %]\n", + "Report : 1.47e-06 [ 0.00 %]\n", + "Balance : 4.68e-07 [ 0.00 %]\n", + "Adjust : 0.740982 [ 22.55 %]\n", + "Total : 3.28558 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5847 602 346 166 181 \n", - "1 : 5858 577 385 145 177 \n", - "2 : 5807 617 368 182 168 \n", - "3 : 5838 570 362 198 174 \n", - "4 : 5787 629 391 153 182 \n", - "5 : 5854 591 375 158 164 \n", - "6 : 5844 568 387 160 183 \n", - "7 : 5848 579 359 191 165 \n", - "8 : 5846 578 369 168 181 \n", - "9 : 5824 610 363 175 170 \n", - "10 : 5810 616 380 158 178 \n", - "11 : 5790 596 411 169 176 \n", - "12 : 5838 583 375 148 198 \n", - "13 : 5822 621 362 185 164 \n", + "0 : 5809 697 377 115 144 \n", + "1 : 5781 722 382 130 127 \n", + "2 : 5767 716 384 149 126 \n", + "3 : 5813 680 352 141 156 \n", + "4 : 5810 692 367 137 136 \n", + "5 : 5849 698 344 120 131 \n", + "6 : 5817 708 345 137 135 \n", + "7 : 5788 746 350 129 129 \n", + "8 : 5843 669 344 125 161 \n", + "9 : 5834 680 370 131 127 \n", + "10 : 5837 663 366 137 139 \n", + "11 : 5788 720 365 140 129 \n", + "12 : 5847 687 355 115 138 \n", + "13 : 5801 707 374 122 150 \n", "\n", - "T : 81613 8337 5233 2356 2461 [100000]\n", + "T : 81384 9785 5075 1828 1928 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0240e-02 sec\n", - "--- Collate = 7.4608e-05 sec\n", + "--- Coef/DT = 30.5%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 5.0183e-02 sec\n", + "--- Collate = 8.0254e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.045341e-06 < 6.250000e-03 [1444]\n", - "--- Max DT=2.858652e+00 > 1.000000e-01 [68602]\n", + "--- Min DT=2.160029e-06 < 6.250000e-03 [1132]\n", + "--- Max DT=3.194284e+00 > 1.000000e-01 [67551]\n", "----------------------------------------------------------------------\n", - " Component | low: 1444/100000\n", - " Component | high: 68602/100000\n", + " Component | low: 1132/100000\n", + " Component | high: 67551/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=93.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00136016 [ 0.86 %]\n", - "Velocity : 0.00445341 [ 2.81 %]\n", - "Force : 0.0599969 [ 37.79 %]\n", - "Coefs : 0.0228722 [ 14.41 %]\n", - "Output : 0.00172778 [ 1.09 %]\n", - "Levels : 0.000242058 [ 0.15 %]\n", - "Report : 8.74e-07 [ 0.00 %]\n", - "Balance : 2.97e-07 [ 0.00 %]\n", - "Adjust : 0.0680549 [ 42.87 %]\n", - "Total : 0.158763 [100.00 %]\n", + "Drift : 0.000565697 [ 0.02 %]\n", + "Velocity : 0.00266936 [ 0.08 %]\n", + "Force : 0.595047 [ 17.81 %]\n", + "Coefs : 2.08336 [ 62.36 %]\n", + "Output : 0.00138441 [ 0.04 %]\n", + "Levels : 0.000275063 [ 0.01 %]\n", + "Report : 5.13e-07 [ 0.00 %]\n", + "Balance : 2.79e-07 [ 0.00 %]\n", + "Adjust : 0.65769 [ 19.69 %]\n", + "Total : 3.34104 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5848 602 344 169 179 \n", - "1 : 5860 565 392 162 163 \n", - "2 : 5807 609 376 182 168 \n", - "3 : 5841 570 362 189 180 \n", - "4 : 5789 631 391 151 180 \n", - "5 : 5861 589 370 160 162 \n", - "6 : 5846 566 391 161 178 \n", - "7 : 5850 574 365 182 171 \n", - "8 : 5846 575 365 172 184 \n", - "9 : 5820 606 367 175 174 \n", - "10 : 5814 601 393 154 180 \n", - "11 : 5787 596 419 156 184 \n", - "12 : 5841 566 393 153 189 \n", - "13 : 5826 610 368 178 172 \n", + "0 : 5808 699 368 131 136 \n", + "1 : 5782 721 383 122 134 \n", + "2 : 5765 722 379 140 136 \n", + "3 : 5817 670 356 140 159 \n", + "4 : 5810 699 367 130 136 \n", + "5 : 5854 691 344 134 119 \n", + "6 : 5824 701 341 140 136 \n", + "7 : 5787 742 361 122 130 \n", + "8 : 5842 661 345 138 156 \n", + "9 : 5837 674 367 139 125 \n", + "10 : 5835 667 364 137 139 \n", + "11 : 5789 718 369 129 137 \n", + "12 : 5849 679 356 119 139 \n", + "13 : 5801 703 381 121 148 \n", "\n", - "T : 81636 8260 5296 2344 2464 [100000]\n", + "T : 81400 9747 5081 1842 1930 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.1%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 9.6034e-03 sec\n", - "--- Collate = 6.5950e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 7.1420e-02 sec\n", + "--- Collate = 9.0220e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.046587e-07 < 6.250000e-03 [1438]\n", - "--- Max DT=2.865597e+00 > 1.000000e-01 [68597]\n", + "--- Min DT=3.648055e-06 < 6.250000e-03 [1143]\n", + "--- Max DT=3.201375e+00 > 1.000000e-01 [67563]\n", "----------------------------------------------------------------------\n", - " Component | low: 1438/100000\n", - " Component | high: 68597/100000\n", + " Component | low: 1143/100000\n", + " Component | high: 67563/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=93.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00142729 [ 0.89 %]\n", - "Velocity : 0.0046977 [ 2.94 %]\n", - "Force : 0.05982 [ 37.37 %]\n", - "Coefs : 0.0222491 [ 13.90 %]\n", - "Output : 0.00166681 [ 1.04 %]\n", - "Levels : 0.000258524 [ 0.16 %]\n", - "Report : 1.18e-06 [ 0.00 %]\n", - "Balance : 2.72e-07 [ 0.00 %]\n", - "Adjust : 0.0698776 [ 43.66 %]\n", - "Total : 0.160057 [100.00 %]\n", + "Drift : 0.00056883 [ 0.02 %]\n", + "Velocity : 0.00261546 [ 0.07 %]\n", + "Force : 0.623613 [ 17.47 %]\n", + "Coefs : 2.23306 [ 62.54 %]\n", + "Output : 0.00155163 [ 0.04 %]\n", + "Levels : 0.000303101 [ 0.01 %]\n", + "Report : 4.82e-07 [ 0.00 %]\n", + "Balance : 3.17e-07 [ 0.00 %]\n", + "Adjust : 0.708693 [ 19.85 %]\n", + "Total : 3.57046 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5838 613 350 162 179 \n", - "1 : 5863 556 400 152 171 \n", - "2 : 5802 619 371 179 171 \n", - "3 : 5841 567 362 193 179 \n", - "4 : 5788 630 389 163 172 \n", - "5 : 5859 597 369 144 173 \n", - "6 : 5853 562 385 154 188 \n", - "7 : 5856 568 360 184 174 \n", - "8 : 5853 569 361 170 189 \n", - "9 : 5817 605 372 168 180 \n", - "10 : 5813 609 378 161 181 \n", - "11 : 5787 594 422 146 193 \n", - "12 : 5840 568 391 161 182 \n", - "13 : 5824 605 382 179 164 \n", + "0 : 5808 694 374 126 140 \n", + "1 : 5785 709 392 123 133 \n", + "2 : 5768 718 371 146 139 \n", + "3 : 5820 664 360 135 163 \n", + "4 : 5809 694 369 134 136 \n", + "5 : 5849 689 357 131 116 \n", + "6 : 5826 706 339 126 145 \n", + "7 : 5785 741 362 114 140 \n", + "8 : 5844 663 335 145 155 \n", + "9 : 5837 667 377 130 131 \n", + "10 : 5838 668 364 137 135 \n", + "11 : 5788 724 363 129 138 \n", + "12 : 5846 680 355 121 140 \n", + "13 : 5800 706 384 124 140 \n", "\n", - "T : 81634 8262 5292 2316 2496 [100000]\n", + "T : 81403 9723 5102 1821 1951 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 2.0%\n", - "--- Update = 9.3965e-03 sec\n", - "--- Collate = 6.4026e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 5.5503e-02 sec\n", + "--- Collate = 2.2818e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.967423e-07 < 6.250000e-03 [1459]\n", - "--- Max DT=2.872544e+00 > 1.000000e-01 [68590]\n", + "--- Min DT=5.097018e-07 < 6.250000e-03 [1155]\n", + "--- Max DT=3.208467e+00 > 1.000000e-01 [67560]\n", "----------------------------------------------------------------------\n", - " Component | low: 1459/100000\n", - " Component | high: 68590/100000\n", + " Component | low: 1155/100000\n", + " Component | high: 67560/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=93.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00153026 [ 0.98 %]\n", - "Velocity : 0.004359 [ 2.79 %]\n", - "Force : 0.0599171 [ 38.34 %]\n", - "Coefs : 0.0218829 [ 14.00 %]\n", - "Output : 0.00164955 [ 1.06 %]\n", - "Levels : 0.000214984 [ 0.14 %]\n", - "Report : 8.03e-07 [ 0.00 %]\n", - "Balance : 2.74e-07 [ 0.00 %]\n", - "Adjust : 0.0666334 [ 42.64 %]\n", - "Total : 0.156267 [100.00 %]\n", + "Drift : 0.00453701 [ 0.13 %]\n", + "Velocity : 0.00231801 [ 0.07 %]\n", + "Force : 0.604131 [ 17.02 %]\n", + "Coefs : 2.26019 [ 63.68 %]\n", + "Output : 0.00145915 [ 0.04 %]\n", + "Levels : 0.000280177 [ 0.01 %]\n", + "Report : 6.04e-07 [ 0.00 %]\n", + "Balance : 3.12e-07 [ 0.00 %]\n", + "Adjust : 0.676324 [ 19.06 %]\n", + "Total : 3.54929 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5843 607 355 164 173 \n", - "1 : 5860 558 397 158 169 \n", - "2 : 5802 616 370 187 167 \n", - "3 : 5841 572 358 186 185 \n", - "4 : 5786 631 387 169 169 \n", - "5 : 5854 604 368 142 174 \n", - "6 : 5848 566 383 157 188 \n", - "7 : 5856 570 356 179 181 \n", - "8 : 5850 580 354 171 187 \n", - "9 : 5815 604 380 158 185 \n", - "10 : 5808 615 371 168 180 \n", - "11 : 5786 599 414 157 186 \n", - "12 : 5834 574 386 164 184 \n", - "13 : 5825 607 383 172 167 \n", + "0 : 5808 693 377 119 145 \n", + "1 : 5784 719 388 126 125 \n", + "2 : 5758 721 382 139 142 \n", + "3 : 5813 668 356 141 164 \n", + "4 : 5801 702 358 142 139 \n", + "5 : 5853 684 365 127 113 \n", + "6 : 5818 716 330 142 136 \n", + "7 : 5787 740 359 115 141 \n", + "8 : 5842 663 343 143 151 \n", + "9 : 5838 668 375 128 133 \n", + "10 : 5837 664 368 135 138 \n", + "11 : 5790 723 360 139 130 \n", + "12 : 5850 670 358 126 138 \n", + "13 : 5808 703 374 132 137 \n", "\n", - "T : 81608 8303 5262 2332 2495 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81387 9734 5093 1854 1932 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 9.4896e-03 sec\n", - "--- Collate = 6.6391e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 6.1509e-02 sec\n", + "--- Collate = 6.8082e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.684396e-06 < 6.250000e-03 [1468]\n", - "--- Max DT=2.879493e+00 > 1.000000e-01 [68581]\n", + "--- Min DT=8.934142e-07 < 6.250000e-03 [1167]\n", + "--- Max DT=3.215562e+00 > 1.000000e-01 [67558]\n", "----------------------------------------------------------------------\n", - " Component | low: 1468/100000\n", - " Component | high: 68581/100000\n", + " Component | low: 1167/100000\n", + " Component | high: 67558/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=93.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00126127 [ 0.82 %]\n", - "Velocity : 0.00444439 [ 2.90 %]\n", - "Force : 0.0576487 [ 37.60 %]\n", - "Coefs : 0.0212364 [ 13.85 %]\n", - "Output : 0.00158059 [ 1.03 %]\n", - "Levels : 0.000219994 [ 0.14 %]\n", - "Report : 5.37e-07 [ 0.00 %]\n", - "Balance : 2.62e-07 [ 0.00 %]\n", - "Adjust : 0.0668783 [ 43.62 %]\n", - "Total : 0.153324 [100.00 %]\n", + "Drift : 0.000522708 [ 0.01 %]\n", + "Velocity : 0.00272216 [ 0.07 %]\n", + "Force : 0.627383 [ 16.84 %]\n", + "Coefs : 2.34253 [ 62.86 %]\n", + "Output : 0.00151823 [ 0.04 %]\n", + "Levels : 0.000247225 [ 0.01 %]\n", + "Report : 5.59e-07 [ 0.00 %]\n", + "Balance : 2.92e-07 [ 0.00 %]\n", + "Adjust : 0.751551 [ 20.17 %]\n", + "Total : 3.72653 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5842 604 356 163 177 \n", - "1 : 5864 554 394 163 167 \n", - "2 : 5805 610 385 177 165 \n", - "3 : 5836 568 367 184 187 \n", - "4 : 5785 633 380 170 174 \n", - "5 : 5851 602 375 139 175 \n", - "6 : 5846 575 377 157 187 \n", - "7 : 5851 573 360 173 185 \n", - "8 : 5854 581 348 161 198 \n", - "9 : 5813 612 386 145 186 \n", - "10 : 5803 618 372 168 181 \n", - "11 : 5789 598 415 152 188 \n", - "12 : 5826 581 380 169 186 \n", - "13 : 5826 613 370 181 164 \n", + "0 : 5805 700 366 128 143 \n", + "1 : 5779 717 403 120 123 \n", + "2 : 5753 724 380 136 149 \n", + "3 : 5804 676 355 146 161 \n", + "4 : 5804 699 362 143 134 \n", + "5 : 5847 688 372 120 115 \n", + "6 : 5817 709 344 125 147 \n", + "7 : 5793 740 349 129 131 \n", + "8 : 5840 660 342 155 145 \n", + "9 : 5835 676 358 140 133 \n", + "10 : 5833 661 376 131 141 \n", + "11 : 5789 721 360 142 130 \n", + "12 : 5850 672 356 131 133 \n", + "13 : 5805 706 379 131 133 \n", "\n", - "T : 81591 8322 5265 2302 2520 [100000]\n", + "T : 81354 9749 5102 1877 1918 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.4%\n", - "--- Adj/Tot = 2.3%\n", - "--- Update = 1.0424e-02 sec\n", - "--- Collate = 8.4989e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 5.7201e-02 sec\n", + "--- Collate = 1.5022e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.112672e-06 < 6.250000e-03 [1472]\n", - "--- Max DT=2.886444e+00 > 1.000000e-01 [68562]\n", + "--- Min DT=7.251211e-07 < 6.250000e-03 [1169]\n", + "--- Max DT=3.222658e+00 > 1.000000e-01 [67549]\n", "----------------------------------------------------------------------\n", - " Component | low: 1472/100000\n", - " Component | high: 68562/100000\n", + " Component | low: 1169/100000\n", + " Component | high: 67549/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=93.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00136422 [ 0.87 %]\n", - "Velocity : 0.00459943 [ 2.93 %]\n", - "Force : 0.0579767 [ 36.99 %]\n", - "Coefs : 0.0222236 [ 14.18 %]\n", - "Output : 0.00161439 [ 1.03 %]\n", - "Levels : 0.000282784 [ 0.18 %]\n", - "Report : 8.64e-07 [ 0.00 %]\n", - "Balance : 2.96e-07 [ 0.00 %]\n", - "Adjust : 0.0685928 [ 43.76 %]\n", - "Total : 0.156734 [100.00 %]\n", + "Drift : 0.000656505 [ 0.02 %]\n", + "Velocity : 0.00311509 [ 0.09 %]\n", + "Force : 0.569905 [ 16.58 %]\n", + "Coefs : 2.151 [ 62.58 %]\n", + "Output : 0.00140342 [ 0.04 %]\n", + "Levels : 0.000310365 [ 0.01 %]\n", + "Report : 5.38e-07 [ 0.00 %]\n", + "Balance : 2.49e-07 [ 0.00 %]\n", + "Adjust : 0.710769 [ 20.68 %]\n", + "Total : 3.43721 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5843 601 360 171 167 \n", - "1 : 5861 553 396 169 163 \n", - "2 : 5801 611 384 179 167 \n", - "3 : 5837 560 377 178 190 \n", - "4 : 5792 625 384 155 186 \n", - "5 : 5860 588 380 143 171 \n", - "6 : 5846 579 369 169 179 \n", - "7 : 5850 574 363 169 186 \n", - "8 : 5855 578 361 156 192 \n", - "9 : 5817 607 383 146 189 \n", - "10 : 5802 615 373 165 187 \n", - "11 : 5789 602 415 149 187 \n", - "12 : 5823 587 382 171 179 \n", - "13 : 5825 612 378 172 167 \n", + "0 : 5806 694 368 133 141 \n", + "1 : 5774 719 400 119 130 \n", + "2 : 5751 722 380 138 151 \n", + "3 : 5806 671 358 141 166 \n", + "4 : 5799 699 370 139 135 \n", + "5 : 5848 689 369 124 112 \n", + "6 : 5815 707 341 132 147 \n", + "7 : 5789 742 349 125 137 \n", + "8 : 5840 658 344 158 142 \n", + "9 : 5838 669 355 145 135 \n", + "10 : 5832 661 379 129 141 \n", + "11 : 5790 724 354 142 132 \n", + "12 : 5849 676 359 129 129 \n", + "13 : 5803 706 382 131 132 \n", "\n", - "T : 81601 8292 5305 2292 2510 [100000]\n", + "T : 81340 9737 5108 1885 1930 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.1%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.5974e-02 sec\n", - "--- Collate = 7.1556e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 4.4750e-02 sec\n", + "--- Collate = 4.0732e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.744517e-07 < 6.250000e-03 [1505]\n", - "--- Max DT=2.893397e+00 > 1.000000e-01 [68554]\n", + "--- Min DT=3.246601e-06 < 6.250000e-03 [1145]\n", + "--- Max DT=3.229756e+00 > 1.000000e-01 [67571]\n", "----------------------------------------------------------------------\n", - " Component | low: 1505/100000\n", - " Component | high: 68554/100000\n", + " Component | low: 1145/100000\n", + " Component | high: 67571/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=93.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0014886 [ 0.86 %]\n", - "Velocity : 0.00471385 [ 2.71 %]\n", - "Force : 0.0621841 [ 35.72 %]\n", - "Coefs : 0.0239587 [ 13.76 %]\n", - "Output : 0.00169283 [ 0.97 %]\n", - "Levels : 0.000284755 [ 0.16 %]\n", - "Report : 8.99e-07 [ 0.00 %]\n", - "Balance : 2.85e-07 [ 0.00 %]\n", - "Adjust : 0.079706 [ 45.78 %]\n", - "Total : 0.174094 [100.00 %]\n", + "Drift : 0.000496794 [ 0.02 %]\n", + "Velocity : 0.00246742 [ 0.09 %]\n", + "Force : 0.527795 [ 18.26 %]\n", + "Coefs : 1.75802 [ 60.82 %]\n", + "Output : 0.00144961 [ 0.05 %]\n", + "Levels : 0.00081773 [ 0.03 %]\n", + "Report : 7.7e-07 [ 0.00 %]\n", + "Balance : 3.35e-07 [ 0.00 %]\n", + "Adjust : 0.599392 [ 20.74 %]\n", + "Total : 2.89048 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5844 599 363 171 165 \n", - "1 : 5860 556 392 168 166 \n", - "2 : 5803 603 390 174 172 \n", - "3 : 5838 561 375 174 194 \n", - "4 : 5789 625 386 151 191 \n", - "5 : 5857 589 374 140 182 \n", - "6 : 5844 577 368 169 184 \n", - "7 : 5851 570 366 161 194 \n", - "8 : 5848 591 350 163 190 \n", - "9 : 5812 612 384 139 195 \n", - "10 : 5802 616 373 163 188 \n", - "11 : 5786 609 411 148 188 \n", - "12 : 5820 600 367 172 183 \n", - "13 : 5828 610 378 164 174 \n", + "0 : 5804 692 369 138 139 \n", + "1 : 5772 721 399 126 124 \n", + "2 : 5757 719 383 136 147 \n", + "3 : 5804 670 367 143 158 \n", + "4 : 5798 702 363 132 147 \n", + "5 : 5840 701 365 117 119 \n", + "6 : 5809 712 343 136 142 \n", + "7 : 5793 736 358 115 140 \n", + "8 : 5844 654 342 164 138 \n", + "9 : 5832 673 365 141 131 \n", + "10 : 5830 661 383 127 141 \n", + "11 : 5794 732 338 146 132 \n", + "12 : 5849 675 360 137 121 \n", + "13 : 5804 708 385 132 125 \n", "\n", - "T : 81582 8318 5277 2257 2566 [100000]\n", + "T : 81330 9756 5120 1890 1904 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 9.8700e-03 sec\n", - "--- Collate = 6.5724e-05 sec\n", + "--- Coef/DT = 30.2%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 6.0592e-02 sec\n", + "--- Collate = 2.9327e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.693898e-07 < 6.250000e-03 [1523]\n", - "--- Max DT=2.900353e+00 > 1.000000e-01 [68537]\n", + "--- Min DT=1.061216e-05 < 6.250000e-03 [1130]\n", + "--- Max DT=3.236856e+00 > 1.000000e-01 [67575]\n", "----------------------------------------------------------------------\n", - " Component | low: 1523/100000\n", - " Component | high: 68537/100000\n", + " Component | low: 1130/100000\n", + " Component | high: 67575/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=93.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00182655 [ 0.78 %]\n", - "Velocity : 0.0049122 [ 2.09 %]\n", - "Force : 0.0851398 [ 36.30 %]\n", - "Coefs : 0.0311445 [ 13.28 %]\n", - "Output : 0.00182184 [ 0.78 %]\n", - "Levels : 0.000308741 [ 0.13 %]\n", - "Report : 9.63e-07 [ 0.00 %]\n", - "Balance : 3.33e-07 [ 0.00 %]\n", - "Adjust : 0.109322 [ 46.61 %]\n", - "Total : 0.234539 [100.00 %]\n", + "Drift : 0.000508691 [ 0.01 %]\n", + "Velocity : 0.00240994 [ 0.06 %]\n", + "Force : 0.680776 [ 17.29 %]\n", + "Coefs : 2.48404 [ 63.09 %]\n", + "Output : 0.0013256 [ 0.03 %]\n", + "Levels : 0.000279343 [ 0.01 %]\n", + "Report : 1.49e-06 [ 0.00 %]\n", + "Balance : 4.85e-07 [ 0.00 %]\n", + "Adjust : 0.767653 [ 19.50 %]\n", + "Total : 3.93705 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5842 598 366 169 167 \n", - "1 : 5864 550 386 175 167 \n", - "2 : 5799 599 399 166 179 \n", - "3 : 5837 566 374 171 194 \n", - "4 : 5799 613 386 152 192 \n", - "5 : 5858 583 386 129 186 \n", - "6 : 5846 571 366 182 177 \n", - "7 : 5855 569 370 151 197 \n", - "8 : 5848 595 346 165 188 \n", - "9 : 5808 614 390 149 181 \n", - "10 : 5793 627 374 159 189 \n", - "11 : 5791 609 399 165 178 \n", - "12 : 5819 599 374 178 172 \n", - "13 : 5830 605 379 165 175 \n", + "0 : 5800 695 375 137 135 \n", + "1 : 5773 719 397 130 123 \n", + "2 : 5757 714 387 128 156 \n", + "3 : 5803 669 362 142 166 \n", + "4 : 5790 704 370 128 150 \n", + "5 : 5836 701 368 124 113 \n", + "6 : 5809 715 344 126 148 \n", + "7 : 5788 736 363 108 147 \n", + "8 : 5842 658 343 157 142 \n", + "9 : 5835 658 369 148 132 \n", + "10 : 5832 655 378 127 150 \n", + "11 : 5787 731 345 155 124 \n", + "12 : 5852 667 362 133 128 \n", + "13 : 5800 715 378 133 128 \n", "\n", - "T : 81589 8298 5295 2276 2542 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81304 9737 5141 1876 1942 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.4%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.0193e-02 sec\n", - "--- Collate = 7.6042e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 3.7597e-02 sec\n", + "--- Collate = 1.1030e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.627911e-08 < 6.250000e-03 [1521]\n", - "--- Max DT=2.907310e+00 > 1.000000e-01 [68544]\n", + "--- Min DT=4.079826e-07 < 6.250000e-03 [1110]\n", + "--- Max DT=3.243958e+00 > 1.000000e-01 [67566]\n", "----------------------------------------------------------------------\n", - " Component | low: 1521/100000\n", - " Component | high: 68544/100000\n", + " Component | low: 1110/100000\n", + " Component | high: 67566/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=93.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00143617 [ 0.88 %]\n", - "Velocity : 0.00452761 [ 2.77 %]\n", - "Force : 0.0606249 [ 37.14 %]\n", - "Coefs : 0.0228053 [ 13.97 %]\n", - "Output : 0.00171968 [ 1.05 %]\n", - "Levels : 0.000257811 [ 0.16 %]\n", - "Report : 8.72e-07 [ 0.00 %]\n", - "Balance : 2.65e-07 [ 0.00 %]\n", - "Adjust : 0.0718078 [ 43.99 %]\n", - "Total : 0.163236 [100.00 %]\n", + "Drift : 0.000447678 [ 0.01 %]\n", + "Velocity : 0.00209737 [ 0.06 %]\n", + "Force : 0.553883 [ 16.45 %]\n", + "Coefs : 2.14648 [ 63.74 %]\n", + "Output : 0.00092622 [ 0.03 %]\n", + "Levels : 0.000220589 [ 0.01 %]\n", + "Report : 4.29e-07 [ 0.00 %]\n", + "Balance : 2.41e-07 [ 0.00 %]\n", + "Adjust : 0.663235 [ 19.70 %]\n", + "Total : 3.36734 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5839 599 367 162 175 \n", - "1 : 5864 559 371 189 159 \n", - "2 : 5800 601 392 169 180 \n", - "3 : 5831 581 374 162 194 \n", - "4 : 5793 621 383 165 180 \n", - "5 : 5859 591 367 139 186 \n", - "6 : 5840 573 382 170 177 \n", - "7 : 5854 569 363 162 194 \n", - "8 : 5847 598 342 169 186 \n", - "9 : 5808 610 399 144 181 \n", - "10 : 5795 625 378 160 184 \n", - "11 : 5787 618 407 143 187 \n", - "12 : 5817 602 371 184 168 \n", - "13 : 5834 602 380 162 176 \n", + "0 : 5796 698 374 134 140 \n", + "1 : 5775 723 387 127 130 \n", + "2 : 5759 712 386 127 158 \n", + "3 : 5799 670 366 143 164 \n", + "4 : 5789 708 374 120 151 \n", + "5 : 5834 695 364 139 110 \n", + "6 : 5811 710 351 127 143 \n", + "7 : 5789 736 361 115 141 \n", + "8 : 5840 653 351 168 130 \n", + "9 : 5827 657 373 150 135 \n", + "10 : 5827 663 371 130 151 \n", + "11 : 5788 731 345 150 128 \n", + "12 : 5851 669 357 131 134 \n", + "13 : 5802 715 378 136 123 \n", "\n", - "T : 81568 8349 5276 2280 2527 [100000]\n", + "T : 81287 9740 5138 1897 1938 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.3%\n", - "--- Adj/Tot = 2.4%\n", - "--- Update = 9.9112e-03 sec\n", - "--- Collate = 6.2132e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 4.0524e-02 sec\n", + "--- Collate = 7.0268e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.659649e-06 < 6.250000e-03 [1480]\n", - "--- Max DT=2.914269e+00 > 1.000000e-01 [68517]\n", + "--- Min DT=2.916558e-06 < 6.250000e-03 [1122]\n", + "--- Max DT=3.251062e+00 > 1.000000e-01 [67555]\n", "----------------------------------------------------------------------\n", - " Component | low: 1480/100000\n", - " Component | high: 68517/100000\n", + " Component | low: 1122/100000\n", + " Component | high: 67555/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=93.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00135178 [ 0.83 %]\n", - "Velocity : 0.00439754 [ 2.72 %]\n", - "Force : 0.0617139 [ 38.12 %]\n", - "Coefs : 0.0231287 [ 14.29 %]\n", - "Output : 0.00165381 [ 1.02 %]\n", - "Levels : 0.000210076 [ 0.13 %]\n", - "Report : 9.27e-07 [ 0.00 %]\n", - "Balance : 3e-07 [ 0.00 %]\n", - "Adjust : 0.0693859 [ 42.86 %]\n", - "Total : 0.161899 [100.00 %]\n", + "Drift : 0.000585814 [ 0.02 %]\n", + "Velocity : 0.00196986 [ 0.05 %]\n", + "Force : 0.673946 [ 18.05 %]\n", + "Coefs : 2.30247 [ 61.65 %]\n", + "Output : 0.00101836 [ 0.03 %]\n", + "Levels : 0.000245872 [ 0.01 %]\n", + "Report : 3.53e-07 [ 0.00 %]\n", + "Balance : 2.24e-07 [ 0.00 %]\n", + "Adjust : 0.754303 [ 20.20 %]\n", + "Total : 3.7346 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5839 605 366 153 179 \n", - "1 : 5857 559 387 175 164 \n", - "2 : 5803 600 396 162 181 \n", - "3 : 5830 579 381 154 198 \n", - "4 : 5791 617 389 154 191 \n", - "5 : 5863 582 371 143 183 \n", - "6 : 5840 564 391 169 178 \n", - "7 : 5846 573 365 171 187 \n", - "8 : 5842 604 335 179 182 \n", - "9 : 5801 620 387 158 176 \n", - "10 : 5797 613 397 154 181 \n", - "11 : 5786 614 405 147 190 \n", - "12 : 5816 603 383 176 164 \n", - "13 : 5835 594 393 160 172 \n", + "0 : 5799 687 395 124 137 \n", + "1 : 5768 734 378 131 131 \n", + "2 : 5758 715 389 123 157 \n", + "3 : 5798 673 365 146 160 \n", + "4 : 5786 702 384 122 148 \n", + "5 : 5832 698 363 135 114 \n", + "6 : 5811 707 361 121 142 \n", + "7 : 5795 724 357 125 141 \n", + "8 : 5847 641 357 163 134 \n", + "9 : 5829 649 381 149 134 \n", + "10 : 5830 656 379 123 154 \n", + "11 : 5787 726 357 148 124 \n", + "12 : 5854 668 357 130 133 \n", + "13 : 5800 715 369 146 124 \n", "\n", - "T : 81546 8327 5346 2255 2526 [100000]\n", + "T : 81294 9695 5192 1886 1933 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.3%\n", - "--- Adj/Tot = 2.3%\n", - "--- Update = 9.8438e-03 sec\n", - "--- Collate = 5.9136e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 5.6468e-02 sec\n", + "--- Collate = 5.2733e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.806559e-06 < 6.250000e-03 [1491]\n", - "--- Max DT=2.921231e+00 > 1.000000e-01 [68510]\n", + "--- Min DT=1.038543e-05 < 6.250000e-03 [1124]\n", + "--- Max DT=3.258168e+00 > 1.000000e-01 [67572]\n", "----------------------------------------------------------------------\n", - " Component | low: 1491/100000\n", - " Component | high: 68510/100000\n", + " Component | low: 1124/100000\n", + " Component | high: 67572/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=94] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0013077 [ 0.79 %]\n", - "Velocity : 0.00440234 [ 2.67 %]\n", - "Force : 0.0600654 [ 36.49 %]\n", - "Coefs : 0.0219158 [ 13.31 %]\n", - "Output : 0.00675136 [ 4.10 %]\n", - "Levels : 0.000235907 [ 0.14 %]\n", - "Report : 1.291e-06 [ 0.00 %]\n", - "Balance : 8.46e-07 [ 0.00 %]\n", - "Adjust : 0.0698938 [ 42.46 %]\n", - "Total : 0.164629 [100.00 %]\n", + "Drift : 0.00055813 [ 0.02 %]\n", + "Velocity : 0.00227657 [ 0.06 %]\n", + "Force : 0.626826 [ 17.28 %]\n", + "Coefs : 2.20128 [ 60.68 %]\n", + "Output : 0.00516895 [ 0.14 %]\n", + "Levels : 0.000238164 [ 0.01 %]\n", + "Report : 1.153e-06 [ 0.00 %]\n", + "Balance : 5.54e-07 [ 0.00 %]\n", + "Adjust : 0.791325 [ 21.81 %]\n", + "Total : 3.62772 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5842 603 362 150 185 \n", - "1 : 5853 562 389 167 171 \n", - "2 : 5798 611 393 165 175 \n", - "3 : 5821 590 386 161 184 \n", - "4 : 5791 611 406 146 188 \n", - "5 : 5864 590 361 142 185 \n", - "6 : 5844 557 398 162 181 \n", - "7 : 5844 576 364 167 191 \n", - "8 : 5846 605 328 174 189 \n", - "9 : 5807 612 397 163 163 \n", - "10 : 5793 621 388 152 188 \n", - "11 : 5788 609 403 157 185 \n", - "12 : 5816 607 372 174 173 \n", - "13 : 5835 597 389 161 172 \n", + "0 : 5798 684 393 125 142 \n", + "1 : 5770 730 376 138 128 \n", + "2 : 5753 725 371 147 146 \n", + "3 : 5800 672 366 144 160 \n", + "4 : 5782 703 381 122 154 \n", + "5 : 5836 699 359 137 111 \n", + "6 : 5807 710 365 116 144 \n", + "7 : 5795 732 350 138 127 \n", + "8 : 5849 632 368 159 134 \n", + "9 : 5831 648 385 145 133 \n", + "10 : 5826 668 366 128 154 \n", + "11 : 5789 721 368 130 134 \n", + "12 : 5855 660 368 127 132 \n", + "13 : 5801 709 371 146 127 \n", "\n", - "T : 81542 8351 5336 2241 2530 [100000]\n", + "T : 81292 9693 5187 1902 1926 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.4%\n", - "--- Adj/Tot = 2.1%\n", - "--- Update = 1.0249e-02 sec\n", - "--- Collate = 6.6316e-05 sec\n", + "--- Coef/DT = 26.6%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 7.3105e-02 sec\n", + "--- Collate = 6.0831e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.774532e-06 < 6.250000e-03 [1466]\n", - "--- Max DT=2.928194e+00 > 1.000000e-01 [68508]\n", + "--- Min DT=4.313977e-06 < 6.250000e-03 [1133]\n", + "--- Max DT=3.265275e+00 > 1.000000e-01 [67590]\n", "----------------------------------------------------------------------\n", - " Component | low: 1466/100000\n", - " Component | high: 68508/100000\n", + " Component | low: 1133/100000\n", + " Component | high: 67590/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=94.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00139634 [ 0.88 %]\n", - "Velocity : 0.00458965 [ 2.88 %]\n", - "Force : 0.0594179 [ 37.25 %]\n", - "Coefs : 0.0230667 [ 14.46 %]\n", - "Output : 0.00160928 [ 1.01 %]\n", - "Levels : 0.000280625 [ 0.18 %]\n", - "Report : 6.06e-07 [ 0.00 %]\n", - "Balance : 3.02e-07 [ 0.00 %]\n", - "Adjust : 0.0690985 [ 43.32 %]\n", - "Total : 0.159519 [100.00 %]\n", + "Drift : 0.00864734 [ 0.26 %]\n", + "Velocity : 0.00317167 [ 0.09 %]\n", + "Force : 0.58673 [ 17.44 %]\n", + "Coefs : 2.01636 [ 59.92 %]\n", + "Output : 0.00136879 [ 0.04 %]\n", + "Levels : 0.000758369 [ 0.02 %]\n", + "Report : 8.59e-07 [ 0.00 %]\n", + "Balance : 3.83e-07 [ 0.00 %]\n", + "Adjust : 0.747789 [ 22.22 %]\n", + "Total : 3.36488 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5846 595 366 146 189 \n", - "1 : 5862 552 388 173 167 \n", - "2 : 5799 610 389 177 167 \n", - "3 : 5824 592 377 161 188 \n", - "4 : 5798 598 412 143 191 \n", - "5 : 5861 589 361 153 178 \n", - "6 : 5842 555 399 169 177 \n", - "7 : 5846 570 360 178 188 \n", - "8 : 5849 601 331 167 194 \n", - "9 : 5810 603 395 177 157 \n", - "10 : 5789 621 381 162 189 \n", - "11 : 5790 613 396 161 182 \n", - "12 : 5808 616 369 167 182 \n", - "13 : 5838 590 391 162 173 \n", + "0 : 5796 697 383 121 145 \n", + "1 : 5767 729 374 142 130 \n", + "2 : 5758 725 367 141 151 \n", + "3 : 5799 671 372 140 160 \n", + "4 : 5780 704 381 132 145 \n", + "5 : 5824 714 361 131 112 \n", + "6 : 5809 707 361 125 140 \n", + "7 : 5799 723 360 127 133 \n", + "8 : 5849 632 370 152 139 \n", + "9 : 5827 656 371 146 142 \n", + "10 : 5825 665 362 135 155 \n", + "11 : 5783 718 378 126 137 \n", + "12 : 5856 662 353 139 132 \n", + "13 : 5806 706 375 142 125 \n", "\n", - "T : 81562 8305 5315 2296 2522 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81278 9709 5168 1899 1946 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", - "--- Adj/Tot = 2.3%\n", - "--- Update = 1.0292e-02 sec\n", - "--- Collate = 6.6670e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 4.0515e-02 sec\n", + "--- Collate = 8.0306e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.129423e-06 < 6.250000e-03 [1482]\n", - "--- Max DT=2.935160e+00 > 1.000000e-01 [68505]\n", + "--- Min DT=5.397245e-06 < 6.250000e-03 [1141]\n", + "--- Max DT=3.272385e+00 > 1.000000e-01 [67593]\n", "----------------------------------------------------------------------\n", - " Component | low: 1482/100000\n", - " Component | high: 68505/100000\n", + " Component | low: 1141/100000\n", + " Component | high: 67593/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=94.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00142593 [ 0.88 %]\n", - "Velocity : 0.00455364 [ 2.81 %]\n", - "Force : 0.0605089 [ 37.35 %]\n", - "Coefs : 0.0234368 [ 14.47 %]\n", - "Output : 0.00164113 [ 1.01 %]\n", - "Levels : 0.000276244 [ 0.17 %]\n", - "Report : 6.28e-07 [ 0.00 %]\n", - "Balance : 3.16e-07 [ 0.00 %]\n", - "Adjust : 0.0700861 [ 43.27 %]\n", - "Total : 0.161991 [100.00 %]\n", + "Drift : 0.00061655 [ 0.01 %]\n", + "Velocity : 0.00378902 [ 0.09 %]\n", + "Force : 0.726712 [ 17.43 %]\n", + "Coefs : 2.5749 [ 61.75 %]\n", + "Output : 0.00141305 [ 0.03 %]\n", + "Levels : 0.000256114 [ 0.01 %]\n", + "Report : 8.06e-07 [ 0.00 %]\n", + "Balance : 2.77e-07 [ 0.00 %]\n", + "Adjust : 0.862259 [ 20.68 %]\n", + "Total : 4.17 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5842 599 364 144 193 \n", - "1 : 5860 545 394 180 163 \n", - "2 : 5801 600 394 182 165 \n", - "3 : 5818 600 382 148 194 \n", - "4 : 5793 602 409 143 195 \n", - "5 : 5863 587 348 159 185 \n", - "6 : 5846 555 399 162 180 \n", - "7 : 5839 578 357 177 191 \n", - "8 : 5844 605 337 153 203 \n", - "9 : 5809 591 406 177 159 \n", - "10 : 5785 625 383 158 191 \n", - "11 : 5784 619 399 157 183 \n", - "12 : 5810 626 361 162 183 \n", - "13 : 5838 577 407 151 181 \n", + "0 : 5792 702 378 125 145 \n", + "1 : 5769 724 383 137 129 \n", + "2 : 5761 721 366 144 150 \n", + "3 : 5798 669 379 143 153 \n", + "4 : 5780 712 374 127 149 \n", + "5 : 5820 714 362 127 119 \n", + "6 : 5809 705 360 121 147 \n", + "7 : 5795 723 360 126 138 \n", + "8 : 5844 636 371 141 150 \n", + "9 : 5823 656 377 141 145 \n", + "10 : 5824 667 365 140 146 \n", + "11 : 5775 732 375 125 135 \n", + "12 : 5854 659 361 143 125 \n", + "13 : 5802 710 369 150 123 \n", "\n", - "T : 81532 8309 5340 2253 2566 [100000]\n", + "T : 81246 9730 5180 1890 1954 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.4%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.0287e-02 sec\n", - "--- Collate = 7.0456e-05 sec\n", + "--- Coef/DT = 1.1%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 5.9536e-02 sec\n", + "--- Collate = 8.0125e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.430561e-06 < 6.250000e-03 [1480]\n", - "--- Max DT=2.942127e+00 > 1.000000e-01 [68489]\n", + "--- Min DT=6.016972e-06 < 6.250000e-03 [1147]\n", + "--- Max DT=3.279496e+00 > 1.000000e-01 [67576]\n", "----------------------------------------------------------------------\n", - " Component | low: 1480/100000\n", - " Component | high: 68489/100000\n", + " Component | low: 1147/100000\n", + " Component | high: 67576/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=94.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00134355 [ 0.84 %]\n", - "Velocity : 0.00453263 [ 2.85 %]\n", - "Force : 0.0596255 [ 37.49 %]\n", - "Coefs : 0.0225866 [ 14.20 %]\n", - "Output : 0.00164069 [ 1.03 %]\n", - "Levels : 0.000216288 [ 0.14 %]\n", - "Report : 6.81e-07 [ 0.00 %]\n", - "Balance : 2.74e-07 [ 0.00 %]\n", - "Adjust : 0.0690432 [ 43.41 %]\n", - "Total : 0.159043 [100.00 %]\n", + "Drift : 0.00462591 [ 0.15 %]\n", + "Velocity : 0.00250273 [ 0.08 %]\n", + "Force : 0.532739 [ 17.13 %]\n", + "Coefs : 1.92694 [ 61.95 %]\n", + "Output : 0.00152814 [ 0.05 %]\n", + "Levels : 0.000288292 [ 0.01 %]\n", + "Report : 6.99e-07 [ 0.00 %]\n", + "Balance : 2.61e-07 [ 0.00 %]\n", + "Adjust : 0.641928 [ 20.64 %]\n", + "Total : 3.1106 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5838 608 360 139 197 \n", - "1 : 5855 553 396 176 162 \n", - "2 : 5799 595 412 172 164 \n", - "3 : 5822 601 384 147 188 \n", - "4 : 5796 598 406 154 188 \n", - "5 : 5863 588 346 151 194 \n", - "6 : 5845 562 374 177 184 \n", - "7 : 5841 576 367 161 197 \n", - "8 : 5846 598 352 135 211 \n", - "9 : 5803 599 402 183 155 \n", - "10 : 5783 626 378 162 193 \n", - "11 : 5785 616 401 149 191 \n", - "12 : 5813 623 362 155 189 \n", - "13 : 5837 579 395 167 176 \n", + "0 : 5790 712 368 130 142 \n", + "1 : 5774 718 382 136 132 \n", + "2 : 5760 721 368 135 158 \n", + "3 : 5793 673 381 136 159 \n", + "4 : 5782 699 376 147 138 \n", + "5 : 5820 703 378 126 115 \n", + "6 : 5807 709 351 126 149 \n", + "7 : 5789 734 362 118 139 \n", + "8 : 5842 630 379 138 153 \n", + "9 : 5825 654 376 140 147 \n", + "10 : 5818 677 362 136 149 \n", + "11 : 5772 738 370 125 137 \n", + "12 : 5853 663 359 145 122 \n", + "13 : 5801 703 372 159 119 \n", "\n", - "T : 81526 8322 5335 2228 2589 [100000]\n", + "T : 81226 9734 5184 1897 1959 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.4%\n", - "--- Adj/Tot = 2.3%\n", - "--- Update = 1.0126e-02 sec\n", - "--- Collate = 6.7521e-05 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 7.7549e-02 sec\n", + "--- Collate = 1.3998e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.467999e-07 < 6.250000e-03 [1504]\n", - "--- Max DT=2.949097e+00 > 1.000000e-01 [68484]\n", + "--- Min DT=1.882457e-07 < 6.250000e-03 [1176]\n", + "--- Max DT=3.286610e+00 > 1.000000e-01 [67566]\n", "----------------------------------------------------------------------\n", - " Component | low: 1504/100000\n", - " Component | high: 68484/100000\n", + " Component | low: 1176/100000\n", + " Component | high: 67566/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=94.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00140303 [ 0.89 %]\n", - "Velocity : 0.00440657 [ 2.78 %]\n", - "Force : 0.0605918 [ 38.27 %]\n", - "Coefs : 0.0228602 [ 14.44 %]\n", - "Output : 0.00156845 [ 0.99 %]\n", - "Levels : 0.000213473 [ 0.13 %]\n", - "Report : 8.65e-07 [ 0.00 %]\n", - "Balance : 2.61e-07 [ 0.00 %]\n", - "Adjust : 0.0672237 [ 42.46 %]\n", - "Total : 0.158325 [100.00 %]\n", + "Drift : 0.000820449 [ 0.03 %]\n", + "Velocity : 0.00570038 [ 0.18 %]\n", + "Force : 0.532647 [ 16.93 %]\n", + "Coefs : 1.95467 [ 62.12 %]\n", + "Output : 0.00129716 [ 0.04 %]\n", + "Levels : 0.000275617 [ 0.01 %]\n", + "Report : 6.35e-07 [ 0.00 %]\n", + "Balance : 2.25e-07 [ 0.00 %]\n", + "Adjust : 0.651103 [ 20.69 %]\n", + "Total : 3.14657 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5835 606 370 135 196 \n", - "1 : 5853 551 399 171 168 \n", - "2 : 5804 595 411 153 179 \n", - "3 : 5819 599 390 158 176 \n", - "4 : 5795 598 405 159 185 \n", - "5 : 5870 583 353 145 191 \n", - "6 : 5843 565 379 166 189 \n", - "7 : 5836 579 373 160 194 \n", - "8 : 5846 598 358 131 209 \n", - "9 : 5805 590 407 174 166 \n", - "10 : 5784 614 385 173 186 \n", - "11 : 5787 612 399 153 191 \n", - "12 : 5807 629 370 137 199 \n", - "13 : 5832 582 398 173 169 \n", + "0 : 5787 711 377 127 140 \n", + "1 : 5777 719 384 123 139 \n", + "2 : 5755 721 368 149 149 \n", + "3 : 5798 669 386 131 158 \n", + "4 : 5782 696 377 160 127 \n", + "5 : 5826 699 372 119 126 \n", + "6 : 5813 705 360 116 148 \n", + "7 : 5787 735 365 116 139 \n", + "8 : 5849 625 379 148 141 \n", + "9 : 5822 663 362 143 152 \n", + "10 : 5817 681 361 125 158 \n", + "11 : 5771 729 373 128 141 \n", + "12 : 5851 663 358 139 131 \n", + "13 : 5802 705 364 165 118 \n", "\n", - "T : 81516 8301 5397 2188 2598 [100000]\n", + "T : 81237 9721 5186 1889 1967 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.0419e-02 sec\n", - "--- Collate = 7.0642e-05 sec\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 5.5581e-02 sec\n", + "--- Collate = 9.0762e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.572984e-06 < 6.250000e-03 [1520]\n", - "--- Max DT=2.956069e+00 > 1.000000e-01 [68475]\n", + "--- Min DT=1.384792e-06 < 6.250000e-03 [1176]\n", + "--- Max DT=3.293725e+00 > 1.000000e-01 [67554]\n", "----------------------------------------------------------------------\n", - " Component | low: 1520/100000\n", - " Component | high: 68475/100000\n", + " Component | low: 1176/100000\n", + " Component | high: 67554/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=94.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00143984 [ 0.90 %]\n", - "Velocity : 0.00443231 [ 2.76 %]\n", - "Force : 0.0602894 [ 37.56 %]\n", - "Coefs : 0.0226974 [ 14.14 %]\n", - "Output : 0.00161113 [ 1.00 %]\n", - "Levels : 0.000316901 [ 0.20 %]\n", - "Report : 8.66e-07 [ 0.00 %]\n", - "Balance : 3e-07 [ 0.00 %]\n", - "Adjust : 0.0696695 [ 43.40 %]\n", - "Total : 0.160511 [100.00 %]\n", + "Drift : 0.000554779 [ 0.02 %]\n", + "Velocity : 0.00244995 [ 0.07 %]\n", + "Force : 0.550396 [ 16.06 %]\n", + "Coefs : 2.16407 [ 63.14 %]\n", + "Output : 0.00117765 [ 0.03 %]\n", + "Levels : 0.000285583 [ 0.01 %]\n", + "Report : 9.41e-07 [ 0.00 %]\n", + "Balance : 4.55e-07 [ 0.00 %]\n", + "Adjust : 0.708224 [ 20.66 %]\n", + "Total : 3.4272 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5836 612 361 140 193 \n", - "1 : 5853 548 407 170 164 \n", - "2 : 5803 599 393 167 180 \n", - "3 : 5813 613 387 145 184 \n", - "4 : 5789 605 394 178 176 \n", - "5 : 5870 575 356 151 190 \n", - "6 : 5839 574 364 173 192 \n", - "7 : 5838 578 371 166 189 \n", - "8 : 5846 591 359 148 198 \n", - "9 : 5806 589 398 189 160 \n", - "10 : 5785 607 391 170 189 \n", - "11 : 5782 618 403 147 192 \n", - "12 : 5810 629 358 148 197 \n", - "13 : 5828 588 388 173 177 \n", + "0 : 5792 708 381 117 144 \n", + "1 : 5779 713 387 133 130 \n", + "2 : 5757 711 377 157 140 \n", + "3 : 5790 679 388 130 155 \n", + "4 : 5780 691 390 155 126 \n", + "5 : 5823 697 376 114 132 \n", + "6 : 5815 711 354 114 148 \n", + "7 : 5784 734 368 119 137 \n", + "8 : 5842 634 383 145 138 \n", + "9 : 5815 673 352 145 157 \n", + "10 : 5816 682 360 133 151 \n", + "11 : 5769 724 373 138 138 \n", + "12 : 5846 661 362 140 133 \n", + "13 : 5801 702 374 155 122 \n", "\n", - "T : 81498 8326 5330 2265 2581 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81209 9720 5225 1895 1951 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.3%\n", - "--- Adj/Tot = 2.2%\n", - "--- Update = 1.0553e-02 sec\n", - "--- Collate = 7.9243e-05 sec\n", + "--- Coef/DT = 1.3%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 4.9070e-02 sec\n", + "--- Collate = 1.1604e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.980357e-07 < 6.250000e-03 [1522]\n", - "--- Max DT=2.963042e+00 > 1.000000e-01 [68478]\n", + "--- Min DT=3.737543e-07 < 6.250000e-03 [1161]\n", + "--- Max DT=3.300842e+00 > 1.000000e-01 [67566]\n", "----------------------------------------------------------------------\n", - " Component | low: 1522/100000\n", - " Component | high: 68478/100000\n", + " Component | low: 1161/100000\n", + " Component | high: 67566/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=94.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00146667 [ 0.88 %]\n", - "Velocity : 0.00499457 [ 2.98 %]\n", - "Force : 0.0625153 [ 37.35 %]\n", - "Coefs : 0.0231229 [ 13.82 %]\n", - "Output : 0.00166433 [ 0.99 %]\n", - "Levels : 0.000262108 [ 0.16 %]\n", - "Report : 5.62e-07 [ 0.00 %]\n", - "Balance : 3.08e-07 [ 0.00 %]\n", - "Adjust : 0.0732755 [ 43.78 %]\n", - "Total : 0.167359 [100.00 %]\n", + "Drift : 0.000642744 [ 0.02 %]\n", + "Velocity : 0.00160342 [ 0.05 %]\n", + "Force : 0.494477 [ 15.31 %]\n", + "Coefs : 2.07677 [ 64.30 %]\n", + "Output : 0.000694107 [ 0.02 %]\n", + "Levels : 0.0001496 [ 0.00 %]\n", + "Report : 5.44e-07 [ 0.00 %]\n", + "Balance : 2.87e-07 [ 0.00 %]\n", + "Adjust : 0.655536 [ 20.30 %]\n", + "Total : 3.22991 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5835 612 362 136 197 \n", - "1 : 5851 548 400 179 164 \n", - "2 : 5805 594 394 173 176 \n", - "3 : 5813 605 388 163 173 \n", - "4 : 5791 602 394 169 186 \n", - "5 : 5873 569 365 142 193 \n", - "6 : 5842 571 361 176 192 \n", - "7 : 5840 577 361 167 197 \n", - "8 : 5846 597 350 156 193 \n", - "9 : 5809 590 396 185 162 \n", - "10 : 5790 604 393 166 189 \n", - "11 : 5779 619 406 149 189 \n", - "12 : 5812 623 356 164 187 \n", - "13 : 5829 590 377 171 187 \n", + "0 : 5786 724 367 122 143 \n", + "1 : 5779 715 385 134 129 \n", + "2 : 5747 720 373 164 138 \n", + "3 : 5788 685 385 135 149 \n", + "4 : 5787 684 392 144 135 \n", + "5 : 5830 694 370 111 137 \n", + "6 : 5812 714 352 124 140 \n", + "7 : 5786 727 371 122 136 \n", + "8 : 5838 644 377 139 144 \n", + "9 : 5812 681 344 156 149 \n", + "10 : 5813 678 372 127 152 \n", + "11 : 5764 724 374 143 137 \n", + "12 : 5850 656 371 125 140 \n", + "13 : 5797 696 388 151 122 \n", "\n", - "T : 81515 8301 5303 2296 2585 [100000]\n", + "T : 81189 9742 5221 1897 1951 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 24.4%\n", - "--- Adj/Tot = 2.3%\n", - "--- Update = 3.4099e-02 sec\n", - "--- Collate = 3.0616e-03 sec\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 5.1689e-02 sec\n", + "--- Collate = 1.0011e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.938165e-06 < 6.250000e-03 [1520]\n", - "--- Max DT=2.970018e+00 > 1.000000e-01 [68468]\n", + "--- Min DT=6.788914e-06 < 6.250000e-03 [1169]\n", + "--- Max DT=3.307961e+00 > 1.000000e-01 [67555]\n", "----------------------------------------------------------------------\n", - " Component | low: 1520/100000\n", - " Component | high: 68468/100000\n", + " Component | low: 1169/100000\n", + " Component | high: 67555/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=94.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0013105 [ 0.49 %]\n", - "Velocity : 0.00524932 [ 1.95 %]\n", - "Force : 0.093885 [ 34.92 %]\n", - "Coefs : 0.0325378 [ 12.10 %]\n", - "Output : 0.00202251 [ 0.75 %]\n", - "Levels : 0.000256181 [ 0.10 %]\n", - "Report : 7.41e-07 [ 0.00 %]\n", - "Balance : 3.57e-07 [ 0.00 %]\n", - "Adjust : 0.133498 [ 49.66 %]\n", - "Total : 0.268821 [100.00 %]\n", + "Drift : 0.000255535 [ 0.01 %]\n", + "Velocity : 0.00129339 [ 0.04 %]\n", + "Force : 0.461652 [ 14.09 %]\n", + "Coefs : 2.10871 [ 64.37 %]\n", + "Output : 0.000800549 [ 0.02 %]\n", + "Levels : 0.000164584 [ 0.01 %]\n", + "Report : 4.45e-07 [ 0.00 %]\n", + "Balance : 1.48e-07 [ 0.00 %]\n", + "Adjust : 0.702915 [ 21.46 %]\n", + "Total : 3.27582 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5831 613 363 138 197 \n", - "1 : 5846 542 403 184 167 \n", - "2 : 5796 598 400 170 178 \n", - "3 : 5807 620 384 158 173 \n", - "4 : 5794 608 377 179 184 \n", - "5 : 5875 566 370 138 193 \n", - "6 : 5845 570 360 173 194 \n", - "7 : 5838 579 363 164 198 \n", - "8 : 5843 596 356 161 186 \n", - "9 : 5801 598 406 175 162 \n", - "10 : 5786 603 395 167 191 \n", - "11 : 5782 606 403 161 190 \n", - "12 : 5807 626 364 156 189 \n", - "13 : 5829 591 378 172 184 \n", + "0 : 5780 729 367 128 138 \n", + "1 : 5775 715 382 136 134 \n", + "2 : 5748 716 381 153 144 \n", + "3 : 5788 687 387 134 146 \n", + "4 : 5779 693 391 139 140 \n", + "5 : 5824 706 370 119 123 \n", + "6 : 5805 722 346 128 141 \n", + "7 : 5779 734 366 123 140 \n", + "8 : 5829 660 379 129 145 \n", + "9 : 5808 684 346 146 158 \n", + "10 : 5815 672 371 123 161 \n", + "11 : 5755 732 372 148 135 \n", + "12 : 5843 670 364 121 144 \n", + "13 : 5797 697 390 145 125 \n", "\n", - "T : 81480 8316 5322 2296 2586 [100000]\n", + "T : 81125 9817 5212 1872 1974 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.6%\n", - "--- Adj/Tot = 2.5%\n", - "--- Update = 1.0766e-02 sec\n", - "--- Collate = 8.7191e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 3.6707e-02 sec\n", + "--- Collate = 6.0184e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.199677e-05 < 6.250000e-03 [1520]\n", - "--- Max DT=2.976995e+00 > 1.000000e-01 [68434]\n", + "--- Min DT=3.029282e-07 < 6.250000e-03 [1185]\n", + "--- Max DT=3.315081e+00 > 1.000000e-01 [67545]\n", "----------------------------------------------------------------------\n", - " Component | low: 1520/100000\n", - " Component | high: 68434/100000\n", + " Component | low: 1185/100000\n", + " Component | high: 67545/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=94.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00211094 [ 0.88 %]\n", - "Velocity : 0.00491274 [ 2.04 %]\n", - "Force : 0.0893007 [ 37.02 %]\n", - "Coefs : 0.0531053 [ 22.01 %]\n", - "Output : 0.00196838 [ 0.82 %]\n", - "Levels : 0.000264455 [ 0.11 %]\n", - "Report : 9.27e-07 [ 0.00 %]\n", - "Balance : 4.04e-07 [ 0.00 %]\n", - "Adjust : 0.0895168 [ 37.11 %]\n", - "Total : 0.241237 [100.00 %]\n", + "Drift : 0.000276406 [ 0.01 %]\n", + "Velocity : 0.00114531 [ 0.04 %]\n", + "Force : 0.553929 [ 17.52 %]\n", + "Coefs : 1.94857 [ 61.63 %]\n", + "Output : 0.00086065 [ 0.03 %]\n", + "Levels : 0.00014724 [ 0.00 %]\n", + "Report : 5.1e-07 [ 0.00 %]\n", + "Balance : 1.77e-07 [ 0.00 %]\n", + "Adjust : 0.656555 [ 20.77 %]\n", + "Total : 3.16152 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5830 612 369 138 193 \n", - "1 : 5845 548 401 172 176 \n", - "2 : 5795 600 392 174 181 \n", - "3 : 5810 620 389 164 159 \n", - "4 : 5790 606 370 196 180 \n", - "5 : 5876 561 369 151 185 \n", - "6 : 5846 568 363 169 196 \n", - "7 : 5841 570 364 171 196 \n", - "8 : 5840 592 360 163 187 \n", - "9 : 5803 599 412 159 169 \n", - "10 : 5790 602 397 161 192 \n", - "11 : 5778 611 395 172 186 \n", - "12 : 5805 623 363 171 180 \n", - "13 : 5831 586 383 173 181 \n", + "0 : 5780 725 368 130 139 \n", + "1 : 5774 707 388 134 139 \n", + "2 : 5749 720 382 142 149 \n", + "3 : 5787 691 388 134 142 \n", + "4 : 5778 701 388 140 135 \n", + "5 : 5826 693 379 117 127 \n", + "6 : 5805 721 356 114 146 \n", + "7 : 5778 736 361 126 141 \n", + "8 : 5824 661 383 128 146 \n", + "9 : 5811 680 339 147 165 \n", + "10 : 5809 672 381 127 153 \n", + "11 : 5758 729 363 146 146 \n", + "12 : 5832 680 369 122 139 \n", + "13 : 5794 699 398 134 129 \n", "\n", - "T : 81480 8298 5327 2334 2561 [100000]\n", + "T : 81105 9815 5243 1841 1996 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.2%\n", - "--- Adj/Tot = 2.3%\n", - "--- Update = 1.0340e-02 sec\n", - "--- Collate = 7.1567e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 3.3781e-02 sec\n", + "--- Collate = 8.0068e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.421239e-06 < 6.250000e-03 [1493]\n", - "--- Max DT=2.983975e+00 > 1.000000e-01 [68415]\n", + "--- Min DT=2.462008e-06 < 6.250000e-03 [1197]\n", + "--- Max DT=3.322204e+00 > 1.000000e-01 [67510]\n", "----------------------------------------------------------------------\n", - " Component | low: 1493/100000\n", - " Component | high: 68415/100000\n", + " Component | low: 1197/100000\n", + " Component | high: 67510/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=94.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00143661 [ 0.83 %]\n", - "Velocity : 0.00495607 [ 2.86 %]\n", - "Force : 0.0664341 [ 38.29 %]\n", - "Coefs : 0.024303 [ 14.01 %]\n", - "Output : 0.00218595 [ 1.26 %]\n", - "Levels : 0.000249295 [ 0.14 %]\n", - "Report : 9.11e-07 [ 0.00 %]\n", - "Balance : 3.54e-07 [ 0.00 %]\n", - "Adjust : 0.0738636 [ 42.58 %]\n", - "Total : 0.173488 [100.00 %]\n", + "Drift : 0.000226306 [ 0.01 %]\n", + "Velocity : 0.000925426 [ 0.03 %]\n", + "Force : 0.41006 [ 15.08 %]\n", + "Coefs : 1.78859 [ 65.77 %]\n", + "Output : 0.000704142 [ 0.03 %]\n", + "Levels : 0.000143431 [ 0.01 %]\n", + "Report : 6.89e-07 [ 0.00 %]\n", + "Balance : 2.01e-07 [ 0.00 %]\n", + "Adjust : 0.518696 [ 19.07 %]\n", + "Total : 2.71937 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5827 613 363 161 178 \n", - "1 : 5847 556 396 164 179 \n", - "2 : 5788 599 389 181 185 \n", - "3 : 5812 621 388 166 155 \n", - "4 : 5787 602 381 182 190 \n", - "5 : 5869 568 376 146 183 \n", - "6 : 5843 566 372 161 200 \n", - "7 : 5835 579 359 169 200 \n", - "8 : 5841 587 362 159 193 \n", - "9 : 5804 602 406 162 168 \n", - "10 : 5783 617 395 157 190 \n", - "11 : 5781 606 389 177 189 \n", - "12 : 5806 611 382 162 181 \n", - "13 : 5832 587 389 169 177 \n", + "0 : 5780 729 364 132 137 \n", + "1 : 5769 708 394 134 137 \n", + "2 : 5744 721 394 132 151 \n", + "3 : 5792 691 388 131 140 \n", + "4 : 5767 715 380 144 136 \n", + "5 : 5827 684 373 136 122 \n", + "6 : 5806 719 352 126 139 \n", + "7 : 5781 729 372 119 141 \n", + "8 : 5825 661 382 130 144 \n", + "9 : 5818 672 343 145 164 \n", + "10 : 5813 667 385 137 140 \n", + "11 : 5753 734 370 146 139 \n", + "12 : 5835 678 360 136 133 \n", + "13 : 5787 707 394 139 127 \n", "\n", - "T : 81455 8314 5347 2316 2568 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81097 9815 5251 1887 1950 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.6%\n", - "--- Adj/Tot = 2.4%\n", - "--- Update = 9.6366e-03 sec\n", - "--- Collate = 6.2339e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 3.6954e-02 sec\n", + "--- Collate = 3.0186e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.427374e-06 < 6.250000e-03 [1475]\n", - "--- Max DT=2.990957e+00 > 1.000000e-01 [68399]\n", + "--- Min DT=5.973824e-06 < 6.250000e-03 [1194]\n", + "--- Max DT=3.329328e+00 > 1.000000e-01 [67517]\n", "----------------------------------------------------------------------\n", - " Component | low: 1475/100000\n", - " Component | high: 68399/100000\n", + " Component | low: 1194/100000\n", + " Component | high: 67517/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=95] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00164558 [ 0.96 %]\n", - "Velocity : 0.00426775 [ 2.50 %]\n", - "Force : 0.0650242 [ 38.03 %]\n", - "Coefs : 0.0223343 [ 13.06 %]\n", - "Output : 0.00679633 [ 3.98 %]\n", - "Levels : 0.00032114 [ 0.19 %]\n", - "Report : 1.381e-06 [ 0.00 %]\n", - "Balance : 7.79e-07 [ 0.00 %]\n", - "Adjust : 0.0705229 [ 41.25 %]\n", - "Total : 0.170971 [100.00 %]\n", + "Drift : 0.000301531 [ 0.01 %]\n", + "Velocity : 0.00169659 [ 0.06 %]\n", + "Force : 0.414348 [ 15.78 %]\n", + "Coefs : 1.71401 [ 65.26 %]\n", + "Output : 0.00756654 [ 0.29 %]\n", + "Levels : 0.000719374 [ 0.03 %]\n", + "Report : 3.21e-07 [ 0.00 %]\n", + "Balance : 1.78e-07 [ 0.00 %]\n", + "Adjust : 0.487654 [ 18.57 %]\n", + "Total : 2.62632 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5826 623 352 168 173 \n", - "1 : 5838 555 406 153 190 \n", - "2 : 5788 599 391 177 187 \n", - "3 : 5809 620 383 166 164 \n", - "4 : 5781 598 407 162 194 \n", - "5 : 5873 563 387 142 177 \n", - "6 : 5837 581 364 162 198 \n", - "7 : 5838 574 357 172 201 \n", - "8 : 5843 590 360 168 181 \n", - "9 : 5801 599 413 166 163 \n", - "10 : 5781 619 401 166 175 \n", - "11 : 5775 611 394 172 190 \n", - "12 : 5804 613 383 160 182 \n", - "13 : 5830 582 396 166 180 \n", + "0 : 5769 741 360 131 141 \n", + "1 : 5777 701 399 134 131 \n", + "2 : 5747 716 391 140 148 \n", + "3 : 5791 692 386 124 149 \n", + "4 : 5771 710 383 142 136 \n", + "5 : 5816 704 353 145 124 \n", + "6 : 5808 718 351 127 138 \n", + "7 : 5778 734 367 119 144 \n", + "8 : 5822 666 381 128 145 \n", + "9 : 5811 679 348 139 165 \n", + "10 : 5803 679 387 127 146 \n", + "11 : 5748 739 366 142 147 \n", + "12 : 5837 670 367 137 131 \n", + "13 : 5790 702 401 132 129 \n", "\n", - "T : 81424 8327 5394 2300 2555 [100000]\n", + "T : 81068 9851 5240 1867 1974 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.3%\n", - "--- Adj/Tot = 2.5%\n", - "--- Update = 9.8607e-03 sec\n", - "--- Collate = 7.0089e-05 sec\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 2.5609e-02 sec\n", + "--- Collate = 9.0130e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.936954e-06 < 6.250000e-03 [1494]\n", - "--- Max DT=2.997941e+00 > 1.000000e-01 [68379]\n", + "--- Min DT=9.536095e-06 < 6.250000e-03 [1182]\n", + "--- Max DT=3.336455e+00 > 1.000000e-01 [67491]\n", "----------------------------------------------------------------------\n", - " Component | low: 1494/100000\n", - " Component | high: 68379/100000\n", + " Component | low: 1182/100000\n", + " Component | high: 67491/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=95.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00137588 [ 0.89 %]\n", - "Velocity : 0.00361322 [ 2.33 %]\n", - "Force : 0.0591737 [ 38.22 %]\n", - "Coefs : 0.0219143 [ 14.16 %]\n", - "Output : 0.00168037 [ 1.09 %]\n", - "Levels : 0.000226792 [ 0.15 %]\n", - "Report : 7.34e-07 [ 0.00 %]\n", - "Balance : 3.15e-07 [ 0.00 %]\n", - "Adjust : 0.0667742 [ 43.13 %]\n", - "Total : 0.154811 [100.00 %]\n", + "Drift : 0.000362087 [ 0.02 %]\n", + "Velocity : 0.00133827 [ 0.07 %]\n", + "Force : 0.31119 [ 15.22 %]\n", + "Coefs : 1.28592 [ 62.89 %]\n", + "Output : 0.000793592 [ 0.04 %]\n", + "Levels : 0.000166912 [ 0.01 %]\n", + "Report : 2.94e-07 [ 0.00 %]\n", + "Balance : 1.57e-07 [ 0.00 %]\n", + "Adjust : 0.445028 [ 21.76 %]\n", + "Total : 2.04482 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5822 634 348 173 165 \n", - "1 : 5840 555 406 153 188 \n", - "2 : 5786 597 386 175 198 \n", - "3 : 5809 625 382 165 161 \n", - "4 : 5779 605 406 156 196 \n", - "5 : 5869 562 386 148 177 \n", - "6 : 5841 579 365 152 205 \n", - "7 : 5835 573 362 169 203 \n", - "8 : 5842 590 362 171 177 \n", - "9 : 5801 597 410 162 172 \n", - "10 : 5778 624 391 171 178 \n", - "11 : 5773 618 389 171 191 \n", - "12 : 5805 609 385 161 182 \n", - "13 : 5827 582 404 162 179 \n", + "0 : 5775 733 358 134 142 \n", + "1 : 5774 705 393 136 134 \n", + "2 : 5749 713 389 146 145 \n", + "3 : 5790 686 387 130 149 \n", + "4 : 5774 710 382 137 139 \n", + "5 : 5816 700 361 140 125 \n", + "6 : 5815 716 350 125 136 \n", + "7 : 5783 729 367 121 142 \n", + "8 : 5820 660 386 131 145 \n", + "9 : 5811 675 364 125 167 \n", + "10 : 5798 680 390 134 140 \n", + "11 : 5746 740 372 139 145 \n", + "12 : 5834 672 371 131 134 \n", + "13 : 5785 699 397 134 139 \n", "\n", - "T : 81407 8350 5382 2289 2572 [100000]\n", + "T : 81070 9818 5267 1863 1982 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.9%\n", - "--- Adj/Tot = 2.3%\n", - "--- Update = 1.0089e-02 sec\n", - "--- Collate = 7.3380e-05 sec\n", + "--- Coef/DT = 2.2%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 3.4956e-02 sec\n", + "--- Collate = 7.6629e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.021292e-06 < 6.250000e-03 [1509]\n", - "--- Max DT=3.004926e+00 > 1.000000e-01 [68351]\n", + "--- Min DT=6.787909e-06 < 6.250000e-03 [1217]\n", + "--- Max DT=3.343583e+00 > 1.000000e-01 [67505]\n", "----------------------------------------------------------------------\n", - " Component | low: 1509/100000\n", - " Component | high: 68351/100000\n", + " Component | low: 1217/100000\n", + " Component | high: 67505/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=95.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00135614 [ 0.88 %]\n", - "Velocity : 0.00398464 [ 2.58 %]\n", - "Force : 0.0593079 [ 38.43 %]\n", - "Coefs : 0.0219311 [ 14.21 %]\n", - "Output : 0.00151877 [ 0.98 %]\n", - "Levels : 0.000224185 [ 0.15 %]\n", - "Report : 6.7e-07 [ 0.00 %]\n", - "Balance : 3.06e-07 [ 0.00 %]\n", - "Adjust : 0.0659558 [ 42.74 %]\n", - "Total : 0.154331 [100.00 %]\n", + "Drift : 0.000320163 [ 0.01 %]\n", + "Velocity : 0.00150049 [ 0.05 %]\n", + "Force : 0.47068 [ 16.87 %]\n", + "Coefs : 1.77668 [ 63.69 %]\n", + "Output : 0.000839787 [ 0.03 %]\n", + "Levels : 0.000179912 [ 0.01 %]\n", + "Report : 4.92e-07 [ 0.00 %]\n", + "Balance : 1.79e-07 [ 0.00 %]\n", + "Adjust : 0.539166 [ 19.33 %]\n", + "Total : 2.7894 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5820 635 353 174 160 \n", - "1 : 5840 553 398 161 190 \n", - "2 : 5786 596 390 170 200 \n", - "3 : 5806 636 382 155 163 \n", - "4 : 5778 611 402 152 199 \n", - "5 : 5871 568 387 142 174 \n", - "6 : 5838 587 360 160 197 \n", - "7 : 5841 569 368 168 196 \n", - "8 : 5843 583 360 178 178 \n", - "9 : 5798 594 411 164 175 \n", - "10 : 5784 616 394 177 171 \n", - "11 : 5774 616 392 178 182 \n", - "12 : 5808 595 388 168 183 \n", - "13 : 5830 582 395 161 186 \n", + "0 : 5771 731 370 129 141 \n", + "1 : 5777 707 380 141 137 \n", + "2 : 5753 698 400 145 146 \n", + "3 : 5790 691 389 131 141 \n", + "4 : 5774 709 386 131 142 \n", + "5 : 5817 707 355 131 132 \n", + "6 : 5817 719 360 109 137 \n", + "7 : 5778 730 373 119 142 \n", + "8 : 5812 662 398 123 147 \n", + "9 : 5812 669 366 116 179 \n", + "10 : 5803 674 388 140 137 \n", + "11 : 5741 755 356 142 148 \n", + "12 : 5828 678 366 136 134 \n", + "13 : 5781 699 397 135 142 \n", "\n", - "T : 81417 8341 5380 2308 2554 [100000]\n", + "T : 81054 9829 5284 1828 2005 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.6%\n", - "--- Adj/Tot = 2.5%\n", - "--- Update = 9.5603e-03 sec\n", - "--- Collate = 4.9663e-05 sec\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 2.1%\n", + "--- Update = 4.8351e-02 sec\n", + "--- Collate = 1.1020e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.191552e-06 < 6.250000e-03 [1528]\n", - "--- Max DT=3.011914e+00 > 1.000000e-01 [68362]\n", + "--- Min DT=4.643602e-07 < 6.250000e-03 [1222]\n", + "--- Max DT=3.350713e+00 > 1.000000e-01 [67495]\n", "----------------------------------------------------------------------\n", - " Component | low: 1528/100000\n", - " Component | high: 68362/100000\n", + " Component | low: 1222/100000\n", + " Component | high: 67495/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=95.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00108595 [ 0.72 %]\n", - "Velocity : 0.00421075 [ 2.79 %]\n", - "Force : 0.059398 [ 39.33 %]\n", - "Coefs : 0.0222692 [ 14.75 %]\n", - "Output : 0.00141915 [ 0.94 %]\n", - "Levels : 0.000178588 [ 0.12 %]\n", - "Report : 5.37e-07 [ 0.00 %]\n", - "Balance : 3.02e-07 [ 0.00 %]\n", - "Adjust : 0.0624028 [ 41.32 %]\n", - "Total : 0.151016 [100.00 %]\n", + "Drift : 0.000414721 [ 0.01 %]\n", + "Velocity : 0.00229836 [ 0.07 %]\n", + "Force : 0.652409 [ 19.04 %]\n", + "Coefs : 2.08374 [ 60.83 %]\n", + "Output : 0.00113217 [ 0.03 %]\n", + "Levels : 0.000279417 [ 0.01 %]\n", + "Report : 9.34e-07 [ 0.00 %]\n", + "Balance : 3.43e-07 [ 0.00 %]\n", + "Adjust : 0.685343 [ 20.01 %]\n", + "Total : 3.42566 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5824 628 351 182 157 \n", - "1 : 5842 555 392 156 197 \n", - "2 : 5784 597 389 178 194 \n", - "3 : 5811 631 380 156 164 \n", - "4 : 5783 601 404 161 193 \n", - "5 : 5869 570 381 139 183 \n", - "6 : 5835 600 354 156 197 \n", - "7 : 5842 561 371 174 194 \n", - "8 : 5840 583 367 172 180 \n", - "9 : 5793 593 412 160 184 \n", - "10 : 5785 617 401 162 177 \n", - "11 : 5779 612 396 162 193 \n", - "12 : 5807 602 379 172 182 \n", - "13 : 5828 584 391 166 185 \n", + "0 : 5772 727 378 120 145 \n", + "1 : 5768 713 381 140 140 \n", + "2 : 5754 687 415 136 150 \n", + "3 : 5789 686 383 146 138 \n", + "4 : 5770 713 385 133 141 \n", + "5 : 5814 719 352 125 132 \n", + "6 : 5818 721 351 115 137 \n", + "7 : 5773 732 379 116 142 \n", + "8 : 5813 660 394 125 150 \n", + "9 : 5813 673 365 118 173 \n", + "10 : 5813 665 378 142 144 \n", + "11 : 5740 755 358 139 150 \n", + "12 : 5827 673 369 143 130 \n", + "13 : 5782 702 398 125 147 \n", "\n", - "T : 81422 8334 5368 2296 2580 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 81046 9826 5286 1823 2019 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.2%\n", - "--- Adj/Tot = 2.7%\n", - "--- Update = 9.1268e-03 sec\n", - "--- Collate = 4.9627e-05 sec\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 6.2363e-02 sec\n", + "--- Collate = 6.8353e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.046573e-06 < 6.250000e-03 [1524]\n", - "--- Max DT=3.018904e+00 > 1.000000e-01 [68335]\n", + "--- Min DT=1.766708e-06 < 6.250000e-03 [1203]\n", + "--- Max DT=3.357845e+00 > 1.000000e-01 [67493]\n", "----------------------------------------------------------------------\n", - " Component | low: 1524/100000\n", - " Component | high: 68335/100000\n", + " Component | low: 1203/100000\n", + " Component | high: 67493/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=95.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00117977 [ 0.74 %]\n", - "Velocity : 0.00418908 [ 2.63 %]\n", - "Force : 0.0586195 [ 36.87 %]\n", - "Coefs : 0.0219147 [ 13.78 %]\n", - "Output : 0.0014687 [ 0.92 %]\n", - "Levels : 0.00848491 [ 5.34 %]\n", - "Report : 9.59e-07 [ 0.00 %]\n", - "Balance : 5.38e-07 [ 0.00 %]\n", - "Adjust : 0.0630799 [ 39.68 %]\n", - "Total : 0.158991 [100.00 %]\n", + "Drift : 0.00116864 [ 0.04 %]\n", + "Velocity : 0.00307122 [ 0.09 %]\n", + "Force : 0.62025 [ 18.75 %]\n", + "Coefs : 2.00868 [ 60.73 %]\n", + "Output : 0.00852259 [ 0.26 %]\n", + "Levels : 0.000354048 [ 0.01 %]\n", + "Report : 1.029e-06 [ 0.00 %]\n", + "Balance : 3.15e-07 [ 0.00 %]\n", + "Adjust : 0.665399 [ 20.12 %]\n", + "Total : 3.3075 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5822 629 362 169 160 \n", - "1 : 5840 555 385 168 194 \n", - "2 : 5788 591 392 178 193 \n", - "3 : 5806 632 367 174 163 \n", - "4 : 5779 612 393 166 192 \n", - "5 : 5860 577 381 142 182 \n", - "6 : 5837 594 360 163 188 \n", - "7 : 5837 571 362 176 196 \n", - "8 : 5844 573 368 173 184 \n", - "9 : 5796 594 411 158 183 \n", - "10 : 5786 611 403 164 178 \n", - "11 : 5776 611 408 156 191 \n", - "12 : 5806 602 390 166 178 \n", - "13 : 5823 589 395 169 178 \n", + "0 : 5768 734 371 116 153 \n", + "1 : 5766 710 385 142 139 \n", + "2 : 5755 695 399 139 154 \n", + "3 : 5783 693 390 137 139 \n", + "4 : 5770 708 387 133 144 \n", + "5 : 5808 724 356 115 139 \n", + "6 : 5816 722 352 110 142 \n", + "7 : 5770 732 378 126 136 \n", + "8 : 5811 666 390 129 146 \n", + "9 : 5805 684 366 125 162 \n", + "10 : 5806 666 384 145 141 \n", + "11 : 5740 756 357 142 147 \n", + "12 : 5823 673 371 145 130 \n", + "13 : 5788 686 399 119 162 \n", "\n", - "T : 81400 8341 5377 2322 2560 [100000]\n", + "T : 81009 9849 5285 1823 2034 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.4%\n", - "--- Adj/Tot = 2.4%\n", - "--- Update = 1.2152e-02 sec\n", - "--- Collate = 9.1093e-05 sec\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 5.5553e-02 sec\n", + "--- Collate = 8.0310e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.198919e-07 < 6.250000e-03 [1539]\n", - "--- Max DT=3.025896e+00 > 1.000000e-01 [68311]\n", + "--- Min DT=2.274057e-06 < 6.250000e-03 [1189]\n", + "--- Max DT=3.364978e+00 > 1.000000e-01 [67483]\n", "----------------------------------------------------------------------\n", - " Component | low: 1539/100000\n", - " Component | high: 68311/100000\n", + " Component | low: 1189/100000\n", + " Component | high: 67483/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=95.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00132321 [ 0.59 %]\n", - "Velocity : 0.00536928 [ 2.39 %]\n", - "Force : 0.0748801 [ 33.39 %]\n", - "Coefs : 0.0574782 [ 25.63 %]\n", - "Output : 0.00171723 [ 0.77 %]\n", - "Levels : 0.000228741 [ 0.10 %]\n", - "Report : 7.65e-07 [ 0.00 %]\n", - "Balance : 3.9e-07 [ 0.00 %]\n", - "Adjust : 0.0832181 [ 37.10 %]\n", - "Total : 0.22428 [100.00 %]\n", + "Drift : 0.000564889 [ 0.02 %]\n", + "Velocity : 0.00222295 [ 0.07 %]\n", + "Force : 0.570908 [ 17.28 %]\n", + "Coefs : 2.07256 [ 62.72 %]\n", + "Output : 0.00154429 [ 0.05 %]\n", + "Levels : 0.000257479 [ 0.01 %]\n", + "Report : 5.52e-07 [ 0.00 %]\n", + "Balance : 2.37e-07 [ 0.00 %]\n", + "Adjust : 0.656342 [ 19.86 %]\n", + "Total : 3.30445 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5823 613 383 155 168 \n", - "1 : 5842 560 380 171 189 \n", - "2 : 5787 595 393 172 195 \n", - "3 : 5807 623 381 169 162 \n", - "4 : 5783 606 398 159 196 \n", - "5 : 5861 568 389 146 178 \n", - "6 : 5834 594 365 157 192 \n", - "7 : 5835 572 360 174 201 \n", - "8 : 5843 569 379 165 186 \n", - "9 : 5793 586 417 162 184 \n", - "10 : 5781 615 406 158 182 \n", - "11 : 5777 620 396 159 190 \n", - "12 : 5800 608 392 161 181 \n", - "13 : 5820 598 392 170 174 \n", + "0 : 5768 733 368 124 149 \n", + "1 : 5763 707 389 133 150 \n", + "2 : 5745 708 398 137 154 \n", + "3 : 5785 695 386 137 139 \n", + "4 : 5771 708 394 136 133 \n", + "5 : 5806 723 357 113 143 \n", + "6 : 5818 712 359 114 139 \n", + "7 : 5772 730 380 120 140 \n", + "8 : 5807 677 380 132 146 \n", + "9 : 5799 693 363 127 160 \n", + "10 : 5801 677 377 144 143 \n", + "11 : 5740 759 356 143 144 \n", + "12 : 5826 672 380 128 136 \n", + "13 : 5790 685 394 121 164 \n", "\n", - "T : 81386 8327 5431 2278 2578 [100000]\n", + "T : 80991 9879 5281 1809 2040 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 3.8%\n", - "--- Adj/Tot = 2.6%\n", - "--- Update = 1.4426e-02 sec\n", - "--- Collate = 8.7300e-05 sec\n", + "--- Coef/DT = 3.4%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 5.3509e-02 sec\n", + "--- Collate = 4.0605e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.457464e-07 < 6.250000e-03 [1530]\n", - "--- Max DT=3.032889e+00 > 1.000000e-01 [68290]\n", + "--- Min DT=6.628970e-07 < 6.250000e-03 [1183]\n", + "--- Max DT=3.372113e+00 > 1.000000e-01 [67466]\n", "----------------------------------------------------------------------\n", - " Component | low: 1530/100000\n", - " Component | high: 68290/100000\n", + " Component | low: 1183/100000\n", + " Component | high: 67466/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=95.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00156538 [ 0.32 %]\n", - "Velocity : 0.00604757 [ 1.23 %]\n", - "Force : 0.161134 [ 32.71 %]\n", - "Coefs : 0.149135 [ 30.27 %]\n", - "Output : 0.00177492 [ 0.36 %]\n", - "Levels : 0.000278576 [ 0.06 %]\n", - "Report : 5.66e-07 [ 0.00 %]\n", - "Balance : 3.86e-07 [ 0.00 %]\n", - "Adjust : 0.17264 [ 35.04 %]\n", - "Total : 0.492643 [100.00 %]\n", + "Drift : 0.000531902 [ 0.02 %]\n", + "Velocity : 0.00230373 [ 0.07 %]\n", + "Force : 0.53979 [ 16.22 %]\n", + "Coefs : 2.06371 [ 62.02 %]\n", + "Output : 0.00132496 [ 0.04 %]\n", + "Levels : 0.00589147 [ 0.18 %]\n", + "Report : 1.421e-06 [ 0.00 %]\n", + "Balance : 3.53e-07 [ 0.00 %]\n", + "Adjust : 0.713671 [ 21.45 %]\n", + "Total : 3.32728 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5823 612 385 155 167 \n", - "1 : 5836 565 379 176 186 \n", - "2 : 5788 593 397 166 198 \n", - "3 : 5807 623 389 161 162 \n", - "4 : 5786 598 401 151 206 \n", - "5 : 5861 569 383 151 178 \n", - "6 : 5833 596 365 160 188 \n", - "7 : 5833 576 355 180 198 \n", - "8 : 5845 563 377 167 190 \n", - "9 : 5795 592 410 159 186 \n", - "10 : 5782 614 408 158 180 \n", - "11 : 5778 616 397 168 183 \n", - "12 : 5803 606 391 164 178 \n", - "13 : 5821 598 391 168 176 \n", + "0 : 5767 730 364 142 139 \n", + "1 : 5759 712 388 129 154 \n", + "2 : 5737 719 393 135 158 \n", + "3 : 5783 693 387 151 128 \n", + "4 : 5762 715 390 143 132 \n", + "5 : 5807 718 360 115 142 \n", + "6 : 5813 715 364 112 138 \n", + "7 : 5779 723 381 117 142 \n", + "8 : 5806 671 389 131 145 \n", + "9 : 5795 701 360 127 159 \n", + "10 : 5800 666 386 145 145 \n", + "11 : 5736 759 359 137 151 \n", + "12 : 5826 669 376 134 137 \n", + "13 : 5790 685 388 139 152 \n", "\n", - "T : 81391 8321 5428 2284 2576 [100000]\n", + "T : 80960 9876 5285 1857 2022 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.0%\n", - "--- Adj/Tot = 2.5%\n", - "--- Update = 1.0039e-02 sec\n", - "--- Collate = 7.4031e-05 sec\n", + "--- Coef/DT = 16.3%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 4.7883e-02 sec\n", + "--- Collate = 8.0337e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.113300e-06 < 6.250000e-03 [1507]\n", - "--- Max DT=3.039885e+00 > 1.000000e-01 [68280]\n", + "--- Min DT=1.360983e-06 < 6.250000e-03 [1199]\n", + "--- Max DT=3.379251e+00 > 1.000000e-01 [67478]\n", "----------------------------------------------------------------------\n", - " Component | low: 1507/100000\n", - " Component | high: 68280/100000\n", + " Component | low: 1199/100000\n", + " Component | high: 67478/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=95.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00141237 [ 0.80 %]\n", - "Velocity : 0.00475444 [ 2.69 %]\n", - "Force : 0.0699126 [ 39.62 %]\n", - "Coefs : 0.0248135 [ 14.06 %]\n", - "Output : 0.00156088 [ 0.88 %]\n", - "Levels : 0.000255272 [ 0.14 %]\n", - "Report : 5.6e-07 [ 0.00 %]\n", - "Balance : 3.38e-07 [ 0.00 %]\n", - "Adjust : 0.0736876 [ 41.76 %]\n", - "Total : 0.176461 [100.00 %]\n", + "Drift : 0.000899223 [ 0.02 %]\n", + "Velocity : 0.00740058 [ 0.20 %]\n", + "Force : 0.70082 [ 18.80 %]\n", + "Coefs : 2.27147 [ 60.93 %]\n", + "Output : 0.0013187 [ 0.04 %]\n", + "Levels : 0.000363485 [ 0.01 %]\n", + "Report : 1.068e-06 [ 0.00 %]\n", + "Balance : 4.89e-07 [ 0.00 %]\n", + "Adjust : 0.745922 [ 20.01 %]\n", + "Total : 3.72826 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5815 621 381 149 176 \n", - "1 : 5834 566 387 169 186 \n", - "2 : 5790 582 394 172 204 \n", - "3 : 5805 629 384 157 167 \n", - "4 : 5784 605 388 156 209 \n", - "5 : 5857 571 383 150 181 \n", - "6 : 5832 594 368 165 183 \n", - "7 : 5833 578 355 173 203 \n", - "8 : 5847 565 376 161 193 \n", - "9 : 5792 592 413 154 191 \n", - "10 : 5780 621 399 160 182 \n", - "11 : 5775 610 401 172 184 \n", - "12 : 5803 604 384 170 181 \n", - "13 : 5817 598 391 173 175 \n", + "0 : 5767 733 354 146 142 \n", + "1 : 5759 705 397 131 150 \n", + "2 : 5737 718 398 131 158 \n", + "3 : 5784 682 405 144 127 \n", + "4 : 5761 720 378 144 139 \n", + "5 : 5799 721 360 127 135 \n", + "6 : 5814 715 358 117 138 \n", + "7 : 5779 725 377 132 129 \n", + "8 : 5800 674 385 137 146 \n", + "9 : 5795 699 364 126 158 \n", + "10 : 5803 666 385 144 144 \n", + "11 : 5735 758 364 142 143 \n", + "12 : 5827 670 369 136 140 \n", + "13 : 5792 681 385 138 158 \n", "\n", - "T : 81364 8336 5404 2281 2615 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 80952 9867 5279 1895 2007 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.4%\n", - "--- Adj/Tot = 2.6%\n", - "--- Update = 1.0717e-02 sec\n", - "--- Collate = 9.5360e-05 sec\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 5.0247e-02 sec\n", + "--- Collate = 1.1011e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.403492e-07 < 6.250000e-03 [1512]\n", - "--- Max DT=3.046883e+00 > 1.000000e-01 [68260]\n", + "--- Min DT=3.130615e-06 < 6.250000e-03 [1205]\n", + "--- Max DT=3.386390e+00 > 1.000000e-01 [67470]\n", "----------------------------------------------------------------------\n", - " Component | low: 1512/100000\n", - " Component | high: 68260/100000\n", + " Component | low: 1205/100000\n", + " Component | high: 67470/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=95.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00141464 [ 0.86 %]\n", - "Velocity : 0.00325722 [ 1.99 %]\n", - "Force : 0.0614643 [ 37.57 %]\n", - "Coefs : 0.0258123 [ 15.78 %]\n", - "Output : 0.000881846 [ 0.54 %]\n", - "Levels : 0.00024756 [ 0.15 %]\n", - "Report : 1.054e-06 [ 0.00 %]\n", - "Balance : 5.3e-07 [ 0.00 %]\n", - "Adjust : 0.0704669 [ 43.07 %]\n", - "Total : 0.163598 [100.00 %]\n", + "Drift : 0.000953667 [ 0.02 %]\n", + "Velocity : 0.00311045 [ 0.07 %]\n", + "Force : 0.728098 [ 17.21 %]\n", + "Coefs : 2.64495 [ 62.52 %]\n", + "Output : 0.00135925 [ 0.03 %]\n", + "Levels : 0.000372657 [ 0.01 %]\n", + "Report : 4.09e-07 [ 0.00 %]\n", + "Balance : 2.49e-07 [ 0.00 %]\n", + "Adjust : 0.85165 [ 20.13 %]\n", + "Total : 4.23055 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5813 620 385 144 180 \n", - "1 : 5828 574 381 170 189 \n", - "2 : 5783 595 389 169 206 \n", - "3 : 5800 636 387 155 164 \n", - "4 : 5782 610 387 162 201 \n", - "5 : 5858 576 381 149 178 \n", - "6 : 5828 599 364 172 179 \n", - "7 : 5829 585 351 173 204 \n", - "8 : 5847 558 387 152 198 \n", - "9 : 5798 593 407 162 182 \n", - "10 : 5776 627 390 162 187 \n", - "11 : 5770 616 393 184 179 \n", - "12 : 5804 611 386 169 172 \n", - "13 : 5825 600 385 167 177 \n", + "0 : 5770 731 357 146 138 \n", + "1 : 5762 703 400 122 155 \n", + "2 : 5729 723 392 141 157 \n", + "3 : 5783 693 399 145 122 \n", + "4 : 5764 714 381 157 126 \n", + "5 : 5804 718 351 139 130 \n", + "6 : 5817 713 356 119 137 \n", + "7 : 5779 727 369 135 132 \n", + "8 : 5796 678 378 141 149 \n", + "9 : 5788 709 351 135 159 \n", + "10 : 5805 671 376 143 147 \n", + "11 : 5738 750 370 137 147 \n", + "12 : 5828 672 365 141 136 \n", + "13 : 5794 681 380 149 150 \n", "\n", - "T : 81341 8400 5373 2290 2596 [100000]\n", + "T : 80957 9883 5225 1950 1985 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.5%\n", - "--- Adj/Tot = 2.5%\n", - "--- Update = 1.0716e-02 sec\n", - "--- Collate = 6.8054e-05 sec\n", + "--- Coef/DT = 7.5%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 6.2606e-02 sec\n", + "--- Collate = 7.0246e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.900602e-07 < 6.250000e-03 [1530]\n", - "--- Max DT=3.053883e+00 > 1.000000e-01 [68247]\n", + "--- Min DT=3.828004e-07 < 6.250000e-03 [1204]\n", + "--- Max DT=3.393531e+00 > 1.000000e-01 [67461]\n", "----------------------------------------------------------------------\n", - " Component | low: 1530/100000\n", - " Component | high: 68247/100000\n", + " Component | low: 1204/100000\n", + " Component | high: 67461/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=95.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000740002 [ 0.46 %]\n", - "Velocity : 0.00239235 [ 1.50 %]\n", - "Force : 0.0608753 [ 38.24 %]\n", - "Coefs : 0.026229 [ 16.47 %]\n", - "Output : 0.000922628 [ 0.58 %]\n", - "Levels : 0.000216165 [ 0.14 %]\n", - "Report : 1.186e-06 [ 0.00 %]\n", - "Balance : 4.69e-07 [ 0.00 %]\n", - "Adjust : 0.0677838 [ 42.57 %]\n", - "Total : 0.159211 [100.00 %]\n", + "Drift : 0.000590553 [ 0.02 %]\n", + "Velocity : 0.00231939 [ 0.07 %]\n", + "Force : 0.567723 [ 18.32 %]\n", + "Coefs : 1.90434 [ 61.45 %]\n", + "Output : 0.00139433 [ 0.04 %]\n", + "Levels : 0.000223181 [ 0.01 %]\n", + "Report : 1.086e-06 [ 0.00 %]\n", + "Balance : 2.53e-07 [ 0.00 %]\n", + "Adjust : 0.62237 [ 20.08 %]\n", + "Total : 3.09902 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5808 627 386 133 188 \n", - "1 : 5825 573 394 154 196 \n", - "2 : 5785 594 395 168 200 \n", - "3 : 5803 635 386 153 165 \n", - "4 : 5777 611 390 172 192 \n", - "5 : 5856 576 380 152 178 \n", - "6 : 5825 596 367 168 186 \n", - "7 : 5832 580 356 166 208 \n", - "8 : 5847 553 398 153 191 \n", - "9 : 5797 593 395 175 182 \n", - "10 : 5779 633 383 160 187 \n", - "11 : 5766 624 383 183 186 \n", - "12 : 5808 603 391 176 164 \n", - "13 : 5819 603 378 174 180 \n", + "0 : 5774 731 351 147 139 \n", + "1 : 5762 703 399 125 153 \n", + "2 : 5724 739 395 120 164 \n", + "3 : 5784 693 397 146 122 \n", + "4 : 5766 713 380 151 132 \n", + "5 : 5800 725 340 153 124 \n", + "6 : 5814 711 362 123 132 \n", + "7 : 5772 735 366 134 135 \n", + "8 : 5793 683 363 155 148 \n", + "9 : 5789 710 356 135 152 \n", + "10 : 5809 662 386 143 142 \n", + "11 : 5735 752 383 124 148 \n", + "12 : 5824 678 355 144 141 \n", + "13 : 5787 695 380 147 145 \n", "\n", - "T : 81327 8401 5382 2287 2603 [100000]\n", + "T : 80933 9930 5213 1947 1977 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.8%\n", - "--- Adj/Tot = 2.7%\n", - "--- Update = 1.0687e-02 sec\n", - "--- Collate = 5.6047e-05 sec\n", + "--- Coef/DT = 30.7%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 6.5505e-02 sec\n", + "--- Collate = 7.0238e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=7.367922e-06 < 6.250000e-03 [1549]\n", - "--- Max DT=3.060884e+00 > 1.000000e-01 [68228]\n", + "--- Min DT=2.555432e-06 < 6.250000e-03 [1219]\n", + "--- Max DT=3.400674e+00 > 1.000000e-01 [67435]\n", "----------------------------------------------------------------------\n", - " Component | low: 1549/100000\n", - " Component | high: 68228/100000\n", + " Component | low: 1219/100000\n", + " Component | high: 67435/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=96] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000585564 [ 0.36 %]\n", - "Velocity : 0.00199638 [ 1.23 %]\n", - "Force : 0.0603085 [ 37.17 %]\n", - "Coefs : 0.0252997 [ 15.59 %]\n", - "Output : 0.00527231 [ 3.25 %]\n", - "Levels : 0.000189812 [ 0.12 %]\n", - "Report : 1.421e-06 [ 0.00 %]\n", - "Balance : 7.24e-07 [ 0.00 %]\n", - "Adjust : 0.0685675 [ 42.26 %]\n", - "Total : 0.162269 [100.00 %]\n", + "Drift : 0.000770885 [ 0.02 %]\n", + "Velocity : 0.00252176 [ 0.08 %]\n", + "Force : 0.580011 [ 17.67 %]\n", + "Coefs : 1.97749 [ 60.24 %]\n", + "Output : 0.0105099 [ 0.32 %]\n", + "Levels : 0.000292738 [ 0.01 %]\n", + "Report : 9.26e-07 [ 0.00 %]\n", + "Balance : 6.31e-07 [ 0.00 %]\n", + "Adjust : 0.711044 [ 21.66 %]\n", + "Total : 3.2827 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5812 625 378 139 188 \n", - "1 : 5823 580 393 156 190 \n", - "2 : 5782 587 401 168 204 \n", - "3 : 5802 638 371 163 168 \n", - "4 : 5774 615 386 175 192 \n", - "5 : 5857 574 378 160 173 \n", - "6 : 5824 598 366 163 191 \n", - "7 : 5826 583 365 159 209 \n", - "8 : 5850 539 397 160 196 \n", - "9 : 5797 592 398 170 185 \n", - "10 : 5777 639 374 173 179 \n", - "11 : 5761 628 389 180 184 \n", - "12 : 5812 585 400 178 167 \n", - "13 : 5822 597 379 172 184 \n", + "0 : 5771 731 355 140 145 \n", + "1 : 5766 701 392 143 140 \n", + "2 : 5718 748 395 121 160 \n", + "3 : 5782 700 387 150 123 \n", + "4 : 5770 712 385 144 131 \n", + "5 : 5800 719 350 153 120 \n", + "6 : 5815 711 364 118 134 \n", + "7 : 5770 737 364 135 136 \n", + "8 : 5785 688 370 152 147 \n", + "9 : 5795 698 362 143 144 \n", + "10 : 5804 671 378 145 144 \n", + "11 : 5732 762 381 122 145 \n", + "12 : 5830 670 357 144 141 \n", + "13 : 5793 684 381 144 152 \n", "\n", - "T : 81319 8380 5375 2316 2610 [100000]\n", + "T : 80931 9932 5221 1954 1962 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.0%\n", - "--- Adj/Tot = 2.6%\n", - "--- Update = 1.0548e-02 sec\n", - "--- Collate = 7.0751e-05 sec\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 4.7366e-02 sec\n", + "--- Collate = 4.0435e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.643834e-07 < 6.250000e-03 [1554]\n", - "--- Max DT=3.067888e+00 > 1.000000e-01 [68210]\n", + "--- Min DT=1.007555e-05 < 6.250000e-03 [1214]\n", + "--- Max DT=3.407818e+00 > 1.000000e-01 [67435]\n", "----------------------------------------------------------------------\n", - " Component | low: 1554/100000\n", - " Component | high: 68210/100000\n", + " Component | low: 1214/100000\n", + " Component | high: 67435/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=96.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000625081 [ 0.40 %]\n", - "Velocity : 0.00222447 [ 1.41 %]\n", - "Force : 0.0606929 [ 38.38 %]\n", - "Coefs : 0.0251888 [ 15.93 %]\n", - "Output : 0.000742783 [ 0.47 %]\n", - "Levels : 0.000189957 [ 0.12 %]\n", - "Report : 1.01e-06 [ 0.00 %]\n", - "Balance : 6.03e-07 [ 0.00 %]\n", - "Adjust : 0.0684054 [ 43.26 %]\n", - "Total : 0.158123 [100.00 %]\n", + "Drift : 0.004821 [ 0.13 %]\n", + "Velocity : 0.00265342 [ 0.07 %]\n", + "Force : 0.625431 [ 16.38 %]\n", + "Coefs : 2.45452 [ 64.29 %]\n", + "Output : 0.001414 [ 0.04 %]\n", + "Levels : 0.000270223 [ 0.01 %]\n", + "Report : 6.41e-07 [ 0.00 %]\n", + "Balance : 3.06e-07 [ 0.00 %]\n", + "Adjust : 0.728601 [ 19.08 %]\n", + "Total : 3.81777 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5808 634 370 147 183 \n", - "1 : 5818 585 390 156 193 \n", - "2 : 5776 589 407 159 211 \n", - "3 : 5800 636 376 167 163 \n", - "4 : 5776 616 386 175 189 \n", - "5 : 5850 579 378 164 171 \n", - "6 : 5820 596 373 156 197 \n", - "7 : 5828 572 370 170 202 \n", - "8 : 5847 548 393 158 196 \n", - "9 : 5796 606 381 161 198 \n", - "10 : 5783 638 366 176 179 \n", - "11 : 5765 624 396 164 193 \n", - "12 : 5816 582 398 184 162 \n", - "13 : 5821 599 380 178 176 \n", + "0 : 5769 733 350 142 148 \n", + "1 : 5767 703 401 128 143 \n", + "2 : 5716 753 392 129 152 \n", + "3 : 5780 698 392 152 120 \n", + "4 : 5766 722 383 129 142 \n", + "5 : 5802 709 364 142 125 \n", + "6 : 5819 711 352 126 134 \n", + "7 : 5766 741 362 130 143 \n", + "8 : 5785 687 370 153 147 \n", + "9 : 5800 681 371 138 152 \n", + "10 : 5810 670 371 148 143 \n", + "11 : 5733 759 376 130 144 \n", + "12 : 5827 671 359 145 140 \n", + "13 : 5793 679 390 131 161 \n", "\n", - "T : 81304 8404 5364 2315 2613 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 80933 9917 5233 1923 1994 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.9%\n", - "--- Adj/Tot = 2.5%\n", - "--- Update = 1.0509e-02 sec\n", - "--- Collate = 6.1857e-05 sec\n", + "--- Coef/DT = 25.0%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 5.5505e-02 sec\n", + "--- Collate = 1.0608e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=8.235199e-07 < 6.250000e-03 [1585]\n", - "--- Max DT=3.074893e+00 > 1.000000e-01 [68203]\n", + "--- Min DT=7.170780e-06 < 6.250000e-03 [1187]\n", + "--- Max DT=3.414964e+00 > 1.000000e-01 [67393]\n", "----------------------------------------------------------------------\n", - " Component | low: 1585/100000\n", - " Component | high: 68203/100000\n", + " Component | low: 1187/100000\n", + " Component | high: 67393/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=96.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000652554 [ 0.42 %]\n", - "Velocity : 0.00199572 [ 1.30 %]\n", - "Force : 0.0592882 [ 38.55 %]\n", - "Coefs : 0.024636 [ 16.02 %]\n", - "Output : 0.00055145 [ 0.36 %]\n", - "Levels : 0.000180172 [ 0.12 %]\n", - "Report : 1.189e-06 [ 0.00 %]\n", - "Balance : 3.69e-07 [ 0.00 %]\n", - "Adjust : 0.0664485 [ 43.21 %]\n", - "Total : 0.153793 [100.00 %]\n", + "Drift : 0.000522643 [ 0.02 %]\n", + "Velocity : 0.00292107 [ 0.09 %]\n", + "Force : 0.578139 [ 17.45 %]\n", + "Coefs : 2.0347 [ 61.40 %]\n", + "Output : 0.00150204 [ 0.05 %]\n", + "Levels : 0.000293888 [ 0.01 %]\n", + "Report : 9.18e-07 [ 0.00 %]\n", + "Balance : 2.39e-07 [ 0.00 %]\n", + "Adjust : 0.695772 [ 21.00 %]\n", + "Total : 3.31391 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5809 631 365 154 183 \n", - "1 : 5817 589 393 154 189 \n", - "2 : 5770 593 405 163 211 \n", - "3 : 5799 634 379 155 175 \n", - "4 : 5771 625 383 168 195 \n", - "5 : 5848 581 388 154 171 \n", - "6 : 5816 609 364 156 197 \n", - "7 : 5823 584 364 175 196 \n", - "8 : 5844 541 399 171 187 \n", - "9 : 5799 602 387 152 202 \n", - "10 : 5777 649 367 170 179 \n", - "11 : 5757 632 390 171 192 \n", - "12 : 5806 589 401 174 172 \n", - "13 : 5816 598 383 178 179 \n", + "0 : 5772 721 364 136 149 \n", + "1 : 5766 704 395 133 144 \n", + "2 : 5715 754 396 133 144 \n", + "3 : 5776 711 386 139 130 \n", + "4 : 5769 718 386 129 140 \n", + "5 : 5797 713 370 130 132 \n", + "6 : 5820 705 359 124 134 \n", + "7 : 5768 743 359 126 146 \n", + "8 : 5793 681 358 154 156 \n", + "9 : 5806 674 377 127 158 \n", + "10 : 5811 665 379 145 142 \n", + "11 : 5736 745 389 130 142 \n", + "12 : 5832 658 359 155 138 \n", + "13 : 5784 691 393 127 159 \n", "\n", - "T : 81252 8457 5368 2295 2628 [100000]\n", + "T : 80945 9883 5270 1888 2014 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.7%\n", - "--- Adj/Tot = 2.6%\n", - "--- Update = 1.0669e-02 sec\n", - "--- Collate = 6.2330e-05 sec\n", + "--- Coef/DT = 23.7%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 7.7462e-02 sec\n", + "--- Collate = 7.0164e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.575581e-06 < 6.250000e-03 [1603]\n", - "--- Max DT=3.081901e+00 > 1.000000e-01 [68172]\n", + "--- Min DT=1.577531e-06 < 6.250000e-03 [1196]\n", + "--- Max DT=3.422113e+00 > 1.000000e-01 [67374]\n", "----------------------------------------------------------------------\n", - " Component | low: 1603/100000\n", - " Component | high: 68172/100000\n", + " Component | low: 1196/100000\n", + " Component | high: 67374/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=96.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000528511 [ 0.34 %]\n", - "Velocity : 0.00157033 [ 1.02 %]\n", - "Force : 0.0588072 [ 38.28 %]\n", - "Coefs : 0.0254191 [ 16.55 %]\n", - "Output : 0.000521618 [ 0.34 %]\n", - "Levels : 0.000203878 [ 0.13 %]\n", - "Report : 1.08e-06 [ 0.00 %]\n", - "Balance : 3.8e-07 [ 0.00 %]\n", - "Adjust : 0.0665417 [ 43.31 %]\n", - "Total : 0.153633 [100.00 %]\n", + "Drift : 0.000720079 [ 0.02 %]\n", + "Velocity : 0.00246047 [ 0.08 %]\n", + "Force : 0.53934 [ 17.50 %]\n", + "Coefs : 1.90332 [ 61.77 %]\n", + "Output : 0.00134859 [ 0.04 %]\n", + "Levels : 0.000251409 [ 0.01 %]\n", + "Report : 5.79e-07 [ 0.00 %]\n", + "Balance : 4.56e-07 [ 0.00 %]\n", + "Adjust : 0.633925 [ 20.57 %]\n", + "Total : 3.08142 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5806 634 365 156 181 \n", - "1 : 5818 598 390 150 186 \n", - "2 : 5762 599 409 166 206 \n", - "3 : 5801 647 359 158 177 \n", - "4 : 5773 624 383 164 198 \n", - "5 : 5851 579 394 145 173 \n", - "6 : 5817 604 363 163 195 \n", - "7 : 5825 585 367 165 200 \n", - "8 : 5837 546 411 171 177 \n", - "9 : 5794 608 379 156 205 \n", - "10 : 5783 642 367 164 186 \n", - "11 : 5755 633 384 172 198 \n", - "12 : 5808 588 403 165 178 \n", - "13 : 5809 605 380 174 186 \n", + "0 : 5774 723 358 143 144 \n", + "1 : 5771 700 389 132 150 \n", + "2 : 5713 751 389 145 144 \n", + "3 : 5769 713 392 142 126 \n", + "4 : 5765 731 392 119 135 \n", + "5 : 5795 717 373 138 119 \n", + "6 : 5815 716 355 124 132 \n", + "7 : 5767 743 362 129 141 \n", + "8 : 5789 690 351 151 161 \n", + "9 : 5812 660 384 129 157 \n", + "10 : 5807 668 383 145 139 \n", + "11 : 5736 742 391 128 145 \n", + "12 : 5833 655 364 149 141 \n", + "13 : 5789 689 399 127 150 \n", "\n", - "T : 81239 8492 5354 2269 2646 [100000]\n", + "T : 80935 9898 5282 1901 1984 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.7%\n", - "--- Adj/Tot = 2.6%\n", - "--- Update = 9.8005e-03 sec\n", - "--- Collate = 7.3038e-05 sec\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 5.3586e-02 sec\n", + "--- Collate = 1.3024e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.998061e-07 < 6.250000e-03 [1622]\n", - "--- Max DT=3.088911e+00 > 1.000000e-01 [68159]\n", + "--- Min DT=6.164727e-06 < 6.250000e-03 [1181]\n", + "--- Max DT=3.429263e+00 > 1.000000e-01 [67356]\n", "----------------------------------------------------------------------\n", - " Component | low: 1622/100000\n", - " Component | high: 68159/100000\n", + " Component | low: 1181/100000\n", + " Component | high: 67356/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=96.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000557471 [ 0.36 %]\n", - "Velocity : 0.00216905 [ 1.40 %]\n", - "Force : 0.0607399 [ 39.30 %]\n", - "Coefs : 0.0253675 [ 16.41 %]\n", - "Output : 0.000543913 [ 0.35 %]\n", - "Levels : 0.000200272 [ 0.13 %]\n", - "Report : 7.99e-07 [ 0.00 %]\n", - "Balance : 2.16e-07 [ 0.00 %]\n", - "Adjust : 0.0649378 [ 42.02 %]\n", - "Total : 0.154554 [100.00 %]\n", + "Drift : 0.000585225 [ 0.02 %]\n", + "Velocity : 0.00237256 [ 0.07 %]\n", + "Force : 0.616786 [ 17.66 %]\n", + "Coefs : 2.13194 [ 61.06 %]\n", + "Output : 0.00129823 [ 0.04 %]\n", + "Levels : 0.000249041 [ 0.01 %]\n", + "Report : 8.63e-07 [ 0.00 %]\n", + "Balance : 2.57e-07 [ 0.00 %]\n", + "Adjust : 0.738438 [ 21.15 %]\n", + "Total : 3.49172 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5806 624 375 155 182 \n", - "1 : 5818 601 375 159 189 \n", - "2 : 5760 596 405 174 207 \n", - "3 : 5794 649 372 147 180 \n", - "4 : 5772 624 385 170 191 \n", - "5 : 5844 585 392 151 170 \n", - "6 : 5812 604 369 161 196 \n", - "7 : 5826 586 361 164 205 \n", - "8 : 5835 550 406 177 174 \n", - "9 : 5797 610 370 159 206 \n", - "10 : 5780 644 371 159 188 \n", - "11 : 5754 635 381 180 192 \n", - "12 : 5808 588 396 170 180 \n", - "13 : 5812 596 395 162 189 \n", + "0 : 5775 722 355 147 143 \n", + "1 : 5774 694 393 140 141 \n", + "2 : 5711 755 388 141 147 \n", + "3 : 5773 711 385 142 131 \n", + "4 : 5767 724 400 122 129 \n", + "5 : 5792 719 367 141 123 \n", + "6 : 5812 717 363 112 138 \n", + "7 : 5766 739 371 125 141 \n", + "8 : 5785 697 344 166 150 \n", + "9 : 5815 657 392 128 150 \n", + "10 : 5812 664 379 141 146 \n", + "11 : 5734 748 383 121 156 \n", + "12 : 5830 661 354 155 142 \n", + "13 : 5783 699 393 122 157 \n", "\n", - "T : 81218 8492 5353 2288 2649 [100000]\n", + "T : 80929 9907 5267 1903 1994 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.4%\n", - "--- Adj/Tot = 2.5%\n", - "--- Update = 9.7984e-03 sec\n", - "--- Collate = 6.8805e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 4.2552e-02 sec\n", + "--- Collate = 7.0224e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.334571e-06 < 6.250000e-03 [1621]\n", - "--- Max DT=3.095922e+00 > 1.000000e-01 [68131]\n", + "--- Min DT=9.004763e-07 < 6.250000e-03 [1187]\n", + "--- Max DT=3.436414e+00 > 1.000000e-01 [67334]\n", "----------------------------------------------------------------------\n", - " Component | low: 1621/100000\n", - " Component | high: 68131/100000\n", + " Component | low: 1187/100000\n", + " Component | high: 67334/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=96.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000931481 [ 0.60 %]\n", - "Velocity : 0.00343254 [ 2.23 %]\n", - "Force : 0.0633797 [ 41.12 %]\n", - "Coefs : 0.0225667 [ 14.64 %]\n", - "Output : 0.000821148 [ 0.53 %]\n", - "Levels : 0.000205617 [ 0.13 %]\n", - "Report : 8.61e-07 [ 0.00 %]\n", - "Balance : 1.82e-07 [ 0.00 %]\n", - "Adjust : 0.0627436 [ 40.71 %]\n", - "Total : 0.154125 [100.00 %]\n", - "----------------------------------------------------------------------\n", - "\n", - "----------------------------------------------------------------------\n", - "--- Level info--------------------------------------------------------\n", - "----------------------------------------------------------------------\n", - "0 : 5801 626 376 150 189 \n", - "1 : 5813 608 372 167 182 \n", - "2 : 5755 604 401 177 205 \n", - "3 : 5794 649 374 142 183 \n", - "4 : 5772 625 382 165 198 \n", - "5 : 5846 580 396 148 172 \n", - "6 : 5810 603 366 169 194 \n", - "7 : 5818 600 357 162 205 \n", - "8 : 5836 552 399 178 177 \n", - "9 : 5795 611 378 154 204 \n", - "10 : 5779 641 374 159 189 \n", - "11 : 5753 638 381 174 196 \n", - "12 : 5802 592 395 165 188 \n", - "13 : 5804 602 403 155 190 \n", - "\n", - "T : 81178 8531 5354 2265 2672 [100000]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000514478 [ 0.01 %]\n", + "Velocity : 0.00233971 [ 0.07 %]\n", + "Force : 0.554126 [ 15.96 %]\n", + "Coefs : 2.18059 [ 62.82 %]\n", + "Output : 0.00115367 [ 0.03 %]\n", + "Levels : 0.000223053 [ 0.01 %]\n", + "Report : 7.58e-07 [ 0.00 %]\n", + "Balance : 1.99e-07 [ 0.00 %]\n", + "Adjust : 0.732411 [ 21.10 %]\n", + "Total : 3.47141 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5778 722 355 146 141 \n", + "1 : 5778 690 399 128 147 \n", + "2 : 5706 756 394 132 154 \n", + "3 : 5776 710 390 124 142 \n", + "4 : 5767 733 386 121 135 \n", + "5 : 5785 730 360 145 122 \n", + "6 : 5806 726 358 112 140 \n", + "7 : 5766 743 365 123 145 \n", + "8 : 5787 698 341 169 147 \n", + "9 : 5812 662 384 133 151 \n", + "10 : 5803 677 376 125 161 \n", + "11 : 5732 744 391 120 155 \n", + "12 : 5827 667 345 159 144 \n", + "13 : 5780 708 386 121 159 \n", + "\n", + "T : 80903 9966 5230 1858 2043 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.7%\n", - "--- Adj/Tot = 2.6%\n", - "--- Update = 8.8834e-03 sec\n", - "--- Collate = 7.0514e-05 sec\n", + "--- Coef/DT = 25.8%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 7.5610e-02 sec\n", + "--- Collate = 6.5713e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.274962e-07 < 6.250000e-03 [1597]\n", - "--- Max DT=3.102936e+00 > 1.000000e-01 [68131]\n", + "--- Min DT=1.637176e-06 < 6.250000e-03 [1178]\n", + "--- Max DT=3.443568e+00 > 1.000000e-01 [67306]\n", "----------------------------------------------------------------------\n", - " Component | low: 1597/100000\n", - " Component | high: 68131/100000\n", + " Component | low: 1178/100000\n", + " Component | high: 67306/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=96.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000897452 [ 0.60 %]\n", - "Velocity : 0.00358298 [ 2.40 %]\n", - "Force : 0.0579332 [ 38.74 %]\n", - "Coefs : 0.0229788 [ 15.37 %]\n", - "Output : 0.000939948 [ 0.63 %]\n", - "Levels : 0.000171867 [ 0.11 %]\n", - "Report : 5.42e-07 [ 0.00 %]\n", - "Balance : 2.48e-07 [ 0.00 %]\n", - "Adjust : 0.0629736 [ 42.12 %]\n", - "Total : 0.149525 [100.00 %]\n", + "Drift : 0.000523238 [ 0.02 %]\n", + "Velocity : 0.00211518 [ 0.06 %]\n", + "Force : 0.561603 [ 16.81 %]\n", + "Coefs : 2.03788 [ 61.01 %]\n", + "Output : 0.00108991 [ 0.03 %]\n", + "Levels : 0.000235208 [ 0.01 %]\n", + "Report : 6.57e-07 [ 0.00 %]\n", + "Balance : 3.06e-07 [ 0.00 %]\n", + "Adjust : 0.736737 [ 22.06 %]\n", + "Total : 3.34023 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5799 633 362 158 190 \n", - "1 : 5815 611 365 166 185 \n", - "2 : 5753 609 399 184 197 \n", - "3 : 5784 650 383 133 192 \n", - "4 : 5770 629 382 171 190 \n", - "5 : 5845 583 384 154 176 \n", - "6 : 5811 609 360 176 186 \n", - "7 : 5817 592 369 154 210 \n", - "8 : 5829 560 389 185 179 \n", - "9 : 5790 621 371 165 195 \n", - "10 : 5780 637 381 157 187 \n", - "11 : 5751 634 389 169 199 \n", - "12 : 5794 597 392 170 189 \n", - "13 : 5808 604 401 150 191 \n", + "0 : 5773 719 358 157 135 \n", + "1 : 5775 696 386 138 147 \n", + "2 : 5709 749 398 135 151 \n", + "3 : 5774 710 381 133 144 \n", + "4 : 5768 732 389 117 136 \n", + "5 : 5783 734 367 129 129 \n", + "6 : 5797 745 350 110 140 \n", + "7 : 5769 748 358 126 141 \n", + "8 : 5787 697 346 161 151 \n", + "9 : 5817 662 374 150 139 \n", + "10 : 5801 679 380 124 158 \n", + "11 : 5733 744 398 116 151 \n", + "12 : 5836 655 349 156 146 \n", + "13 : 5777 714 387 127 149 \n", "\n", - "T : 81146 8569 5327 2292 2666 [100000]\n", + "T : 80899 9984 5221 1879 2017 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.7%\n", - "--- Adj/Tot = 2.6%\n", - "--- Update = 9.9029e-03 sec\n", - "--- Collate = 7.7650e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 5.0270e-02 sec\n", + "--- Collate = 9.0310e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.518708e-06 < 6.250000e-03 [1565]\n", - "--- Max DT=3.109951e+00 > 1.000000e-01 [68140]\n", + "--- Min DT=3.065339e-07 < 6.250000e-03 [1210]\n", + "--- Max DT=3.450723e+00 > 1.000000e-01 [67295]\n", "----------------------------------------------------------------------\n", - " Component | low: 1565/100000\n", - " Component | high: 68140/100000\n", + " Component | low: 1210/100000\n", + " Component | high: 67295/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=96.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000865361 [ 0.59 %]\n", - "Velocity : 0.00353821 [ 2.40 %]\n", - "Force : 0.0562135 [ 38.06 %]\n", - "Coefs : 0.0236284 [ 16.00 %]\n", - "Output : 0.000836049 [ 0.57 %]\n", - "Levels : 0.000206045 [ 0.14 %]\n", - "Report : 6.66e-07 [ 0.00 %]\n", - "Balance : 2.61e-07 [ 0.00 %]\n", - "Adjust : 0.0623731 [ 42.23 %]\n", - "Total : 0.147711 [100.00 %]\n", + "Drift : 0.00448031 [ 0.13 %]\n", + "Velocity : 0.00238253 [ 0.07 %]\n", + "Force : 0.647906 [ 18.50 %]\n", + "Coefs : 2.12719 [ 60.74 %]\n", + "Output : 0.00129931 [ 0.04 %]\n", + "Levels : 0.000313341 [ 0.01 %]\n", + "Report : 1.089e-06 [ 0.00 %]\n", + "Balance : 4.06e-07 [ 0.00 %]\n", + "Adjust : 0.718484 [ 20.52 %]\n", + "Total : 3.50211 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5798 636 355 165 188 \n", - "1 : 5817 615 366 172 172 \n", - "2 : 5756 603 412 169 202 \n", - "3 : 5786 642 380 152 182 \n", - "4 : 5770 635 375 169 193 \n", - "5 : 5847 586 372 162 175 \n", - "6 : 5806 613 364 174 185 \n", - "7 : 5811 596 364 156 215 \n", - "8 : 5830 567 378 181 186 \n", - "9 : 5785 626 375 167 189 \n", - "10 : 5782 635 379 161 185 \n", - "11 : 5758 632 386 165 201 \n", - "12 : 5787 606 390 172 187 \n", - "13 : 5808 602 405 145 194 \n", + "0 : 5775 718 367 157 125 \n", + "1 : 5767 704 385 133 153 \n", + "2 : 5714 738 405 138 147 \n", + "3 : 5783 705 383 127 144 \n", + "4 : 5768 731 388 120 135 \n", + "5 : 5778 745 359 124 136 \n", + "6 : 5782 765 347 111 137 \n", + "7 : 5764 757 348 135 138 \n", + "8 : 5787 699 338 156 162 \n", + "9 : 5817 655 393 141 136 \n", + "10 : 5802 678 382 119 161 \n", + "11 : 5735 738 400 121 148 \n", + "12 : 5832 667 344 149 150 \n", + "13 : 5784 710 385 128 147 \n", "\n", - "T : 81141 8594 5301 2310 2654 [100000]\n", + "T : 80888 10010 5224 1859 2019 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.1%\n", - "--- Adj/Tot = 2.5%\n", - "--- Update = 1.0338e-02 sec\n", - "--- Collate = 6.5495e-05 sec\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 7.1507e-02 sec\n", + "--- Collate = 6.0579e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.871427e-06 < 6.250000e-03 [1572]\n", - "--- Max DT=3.116968e+00 > 1.000000e-01 [68124]\n", + "--- Min DT=8.158502e-07 < 6.250000e-03 [1234]\n", + "--- Max DT=3.457880e+00 > 1.000000e-01 [67297]\n", "----------------------------------------------------------------------\n", - " Component | low: 1572/100000\n", - " Component | high: 68124/100000\n", + " Component | low: 1234/100000\n", + " Component | high: 67297/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=96.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000726052 [ 0.48 %]\n", - "Velocity : 0.003189 [ 2.09 %]\n", - "Force : 0.0601917 [ 39.39 %]\n", - "Coefs : 0.0237874 [ 15.57 %]\n", - "Output : 0.000841715 [ 0.55 %]\n", - "Levels : 0.000179792 [ 0.12 %]\n", - "Report : 7.2e-07 [ 0.00 %]\n", - "Balance : 1.97e-07 [ 0.00 %]\n", - "Adjust : 0.0638545 [ 41.78 %]\n", - "Total : 0.15282 [100.00 %]\n", + "Drift : 0.000448021 [ 0.01 %]\n", + "Velocity : 0.002127 [ 0.06 %]\n", + "Force : 0.588221 [ 16.48 %]\n", + "Coefs : 2.22712 [ 62.39 %]\n", + "Output : 0.00110718 [ 0.03 %]\n", + "Levels : 0.00023265 [ 0.01 %]\n", + "Report : 9.73e-07 [ 0.00 %]\n", + "Balance : 5.23e-07 [ 0.00 %]\n", + "Adjust : 0.750181 [ 21.02 %]\n", + "Total : 3.56949 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5800 640 351 162 189 \n", - "1 : 5818 621 361 164 178 \n", - "2 : 5753 602 406 177 204 \n", - "3 : 5785 644 373 150 190 \n", - "4 : 5774 632 375 164 197 \n", - "5 : 5846 593 365 170 168 \n", - "6 : 5809 608 370 167 188 \n", - "7 : 5808 594 372 158 210 \n", - "8 : 5831 575 366 169 201 \n", - "9 : 5783 630 380 169 180 \n", - "10 : 5780 637 385 159 181 \n", - "11 : 5753 630 388 169 202 \n", - "12 : 5792 604 391 163 192 \n", - "13 : 5807 609 399 149 190 \n", + "0 : 5769 715 375 153 130 \n", + "1 : 5772 706 363 146 155 \n", + "2 : 5716 741 396 140 149 \n", + "3 : 5780 710 379 126 147 \n", + "4 : 5771 728 386 125 132 \n", + "5 : 5777 758 353 119 135 \n", + "6 : 5780 767 339 121 135 \n", + "7 : 5763 766 336 140 137 \n", + "8 : 5787 702 342 139 172 \n", + "9 : 5809 670 387 138 138 \n", + "10 : 5804 675 379 127 157 \n", + "11 : 5727 740 405 128 142 \n", + "12 : 5833 666 341 147 155 \n", + "13 : 5783 713 382 124 152 \n", "\n", - "T : 81139 8619 5282 2290 2670 [100000]\n", + "T : 80871 10057 5163 1873 2036 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.9%\n", - "--- Adj/Tot = 2.8%\n", - "--- Update = 9.8434e-03 sec\n", - "--- Collate = 6.4334e-05 sec\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 6.2636e-02 sec\n", + "--- Collate = 9.0350e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.789821e-07 < 6.250000e-03 [1550]\n", - "--- Max DT=3.123987e+00 > 1.000000e-01 [68113]\n", + "--- Min DT=9.606456e-07 < 6.250000e-03 [1262]\n", + "--- Max DT=3.465039e+00 > 1.000000e-01 [67281]\n", "----------------------------------------------------------------------\n", - " Component | low: 1550/100000\n", - " Component | high: 68113/100000\n", + " Component | low: 1262/100000\n", + " Component | high: 67281/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=96.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0010337 [ 0.69 %]\n", - "Velocity : 0.00351913 [ 2.34 %]\n", - "Force : 0.0569852 [ 37.91 %]\n", - "Coefs : 0.023152 [ 15.40 %]\n", - "Output : 0.000910941 [ 0.61 %]\n", - "Levels : 0.000190921 [ 0.13 %]\n", - "Report : 1.003e-06 [ 0.00 %]\n", - "Balance : 1.66e-07 [ 0.00 %]\n", - "Adjust : 0.0644708 [ 42.89 %]\n", - "Total : 0.15031 [100.00 %]\n", + "Drift : 0.000452359 [ 0.01 %]\n", + "Velocity : 0.00159742 [ 0.05 %]\n", + "Force : 0.566937 [ 16.44 %]\n", + "Coefs : 2.15763 [ 62.55 %]\n", + "Output : 0.000927387 [ 0.03 %]\n", + "Levels : 0.000254429 [ 0.01 %]\n", + "Report : 8.11e-07 [ 0.00 %]\n", + "Balance : 4.81e-07 [ 0.00 %]\n", + "Adjust : 0.721621 [ 20.92 %]\n", + "Total : 3.44947 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5806 641 353 148 194 \n", - "1 : 5818 624 351 172 177 \n", - "2 : 5748 611 398 191 194 \n", - "3 : 5778 642 367 173 182 \n", - "4 : 5773 636 368 178 187 \n", - "5 : 5844 594 370 162 172 \n", - "6 : 5806 612 373 162 189 \n", - "7 : 5810 586 379 163 204 \n", - "8 : 5839 566 364 164 209 \n", - "9 : 5780 640 371 165 186 \n", - "10 : 5777 641 381 159 184 \n", - "11 : 5749 630 396 175 192 \n", - "12 : 5788 607 386 168 193 \n", - "13 : 5803 617 385 166 183 \n", + "0 : 5761 724 376 141 140 \n", + "1 : 5774 699 371 138 160 \n", + "2 : 5723 739 386 143 151 \n", + "3 : 5792 696 380 127 147 \n", + "4 : 5759 749 378 126 130 \n", + "5 : 5776 755 350 132 129 \n", + "6 : 5782 763 341 128 128 \n", + "7 : 5758 774 334 146 130 \n", + "8 : 5795 694 333 146 174 \n", + "9 : 5810 674 378 146 134 \n", + "10 : 5804 680 369 131 158 \n", + "11 : 5730 740 403 123 146 \n", + "12 : 5827 679 329 148 159 \n", + "13 : 5782 718 373 129 152 \n", "\n", - "T : 81119 8647 5242 2346 2646 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 80873 10084 5101 1904 2038 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.1%\n", - "--- Adj/Tot = 2.8%\n", - "--- Update = 9.8045e-03 sec\n", - "--- Collate = 6.4198e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 5.2630e-02 sec\n", + "--- Collate = 2.5913e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.748965e-06 < 6.250000e-03 [1524]\n", - "--- Max DT=3.131009e+00 > 1.000000e-01 [68095]\n", + "--- Min DT=3.203917e-06 < 6.250000e-03 [1227]\n", + "--- Max DT=3.472200e+00 > 1.000000e-01 [67277]\n", "----------------------------------------------------------------------\n", - " Component | low: 1524/100000\n", - " Component | high: 68095/100000\n", + " Component | low: 1227/100000\n", + " Component | high: 67277/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=97] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00099313 [ 0.66 %]\n", - "Velocity : 0.00345032 [ 2.29 %]\n", - "Force : 0.0562243 [ 37.27 %]\n", - "Coefs : 0.0224506 [ 14.88 %]\n", - "Output : 0.00595003 [ 3.94 %]\n", - "Levels : 0.000175223 [ 0.12 %]\n", - "Report : 1.302e-06 [ 0.00 %]\n", - "Balance : 9.02e-07 [ 0.00 %]\n", - "Adjust : 0.0615718 [ 40.81 %]\n", - "Total : 0.150859 [100.00 %]\n", + "Drift : 0.000512138 [ 0.01 %]\n", + "Velocity : 0.00198382 [ 0.06 %]\n", + "Force : 0.561711 [ 16.08 %]\n", + "Coefs : 2.23262 [ 63.93 %]\n", + "Output : 0.0127506 [ 0.37 %]\n", + "Levels : 0.000212398 [ 0.01 %]\n", + "Report : 1.04e-06 [ 0.00 %]\n", + "Balance : 5.51e-07 [ 0.00 %]\n", + "Adjust : 0.682688 [ 19.55 %]\n", + "Total : 3.49253 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5802 644 347 151 198 \n", - "1 : 5813 630 348 175 176 \n", - "2 : 5743 613 396 193 197 \n", - "3 : 5781 639 370 171 181 \n", - "4 : 5766 630 376 186 184 \n", - "5 : 5848 587 366 163 178 \n", - "6 : 5807 602 371 185 177 \n", - "7 : 5810 593 371 166 202 \n", - "8 : 5837 566 366 171 202 \n", - "9 : 5780 636 378 158 190 \n", - "10 : 5780 637 391 150 184 \n", - "11 : 5743 638 397 174 190 \n", - "12 : 5784 613 380 184 181 \n", - "13 : 5804 605 397 171 177 \n", + "0 : 5761 726 375 140 140 \n", + "1 : 5770 697 379 138 158 \n", + "2 : 5725 734 392 140 151 \n", + "3 : 5790 702 378 125 147 \n", + "4 : 5760 744 378 130 130 \n", + "5 : 5776 752 354 130 130 \n", + "6 : 5779 762 339 125 137 \n", + "7 : 5759 779 334 141 129 \n", + "8 : 5792 696 334 152 168 \n", + "9 : 5813 671 383 154 121 \n", + "10 : 5808 674 364 131 165 \n", + "11 : 5734 737 404 125 142 \n", + "12 : 5827 678 326 145 166 \n", + "13 : 5789 718 367 131 149 \n", "\n", - "T : 81098 8633 5254 2398 2617 [100000]\n", + "T : 80883 10070 5107 1907 2033 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.1%\n", - "--- Adj/Tot = 2.7%\n", - "--- Update = 9.5132e-03 sec\n", - "--- Collate = 7.7567e-05 sec\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 5.8437e-02 sec\n", + "--- Collate = 1.1042e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.491248e-06 < 6.250000e-03 [1545]\n", - "--- Max DT=3.138032e+00 > 1.000000e-01 [68087]\n", + "--- Min DT=1.975513e-06 < 6.250000e-03 [1221]\n", + "--- Max DT=3.479363e+00 > 1.000000e-01 [67267]\n", "----------------------------------------------------------------------\n", - " Component | low: 1545/100000\n", - " Component | high: 68087/100000\n", + " Component | low: 1221/100000\n", + " Component | high: 67267/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=97.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000991916 [ 0.65 %]\n", - "Velocity : 0.00364953 [ 2.39 %]\n", - "Force : 0.06025 [ 39.48 %]\n", - "Coefs : 0.0238758 [ 15.65 %]\n", - "Output : 0.000871437 [ 0.57 %]\n", - "Levels : 0.000254743 [ 0.17 %]\n", - "Report : 1.064e-06 [ 0.00 %]\n", - "Balance : 3.33e-07 [ 0.00 %]\n", - "Adjust : 0.0626572 [ 41.06 %]\n", - "Total : 0.152598 [100.00 %]\n", + "Drift : 0.000488331 [ 0.01 %]\n", + "Velocity : 0.0025747 [ 0.06 %]\n", + "Force : 0.700864 [ 17.00 %]\n", + "Coefs : 2.5449 [ 61.72 %]\n", + "Output : 0.00143529 [ 0.03 %]\n", + "Levels : 0.000318711 [ 0.01 %]\n", + "Report : 1.322e-06 [ 0.00 %]\n", + "Balance : 6.25e-07 [ 0.00 %]\n", + "Adjust : 0.872335 [ 21.16 %]\n", + "Total : 4.12297 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5793 648 352 151 198 \n", - "1 : 5819 630 347 175 171 \n", - "2 : 5738 623 390 194 197 \n", - "3 : 5779 646 365 163 189 \n", - "4 : 5770 625 377 188 182 \n", - "5 : 5848 584 369 170 171 \n", - "6 : 5807 598 382 185 170 \n", - "7 : 5810 590 376 160 206 \n", - "8 : 5837 554 374 170 207 \n", - "9 : 5779 637 383 155 188 \n", - "10 : 5781 638 392 158 173 \n", - "11 : 5747 641 394 175 185 \n", - "12 : 5784 615 376 191 176 \n", - "13 : 5800 612 394 171 177 \n", + "0 : 5760 725 386 119 152 \n", + "1 : 5775 697 367 137 166 \n", + "2 : 5721 735 386 152 148 \n", + "3 : 5785 706 380 131 140 \n", + "4 : 5755 745 373 138 131 \n", + "5 : 5779 742 367 126 128 \n", + "6 : 5774 773 340 126 129 \n", + "7 : 5758 779 347 137 121 \n", + "8 : 5791 691 337 151 172 \n", + "9 : 5808 680 380 147 127 \n", + "10 : 5807 678 353 136 168 \n", + "11 : 5735 739 402 128 138 \n", + "12 : 5825 677 334 144 162 \n", + "13 : 5793 716 370 128 147 \n", "\n", - "T : 81092 8641 5271 2406 2590 [100000]\n", + "T : 80866 10083 5122 1900 2029 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.7%\n", - "--- Adj/Tot = 2.5%\n", - "--- Update = 9.9038e-03 sec\n", - "--- Collate = 6.6687e-05 sec\n", + "--- Coef/DT = 8.2%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 4.9984e-02 sec\n", + "--- Collate = 6.0340e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.364380e-06 < 6.250000e-03 [1537]\n", - "--- Max DT=3.145057e+00 > 1.000000e-01 [68058]\n", + "--- Min DT=1.046413e-06 < 6.250000e-03 [1206]\n", + "--- Max DT=3.486527e+00 > 1.000000e-01 [67239]\n", "----------------------------------------------------------------------\n", - " Component | low: 1537/100000\n", - " Component | high: 68058/100000\n", + " Component | low: 1206/100000\n", + " Component | high: 67239/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=97.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00101426 [ 0.67 %]\n", - "Velocity : 0.00358056 [ 2.35 %]\n", - "Force : 0.0601201 [ 39.50 %]\n", - "Coefs : 0.0237196 [ 15.58 %]\n", - "Output : 0.000790056 [ 0.52 %]\n", - "Levels : 0.000202827 [ 0.13 %]\n", - "Report : 9.33e-07 [ 0.00 %]\n", - "Balance : 2.18e-07 [ 0.00 %]\n", - "Adjust : 0.0627228 [ 41.21 %]\n", - "Total : 0.152196 [100.00 %]\n", + "Drift : 0.000702056 [ 0.02 %]\n", + "Velocity : 0.00355986 [ 0.08 %]\n", + "Force : 0.668015 [ 15.38 %]\n", + "Coefs : 2.75633 [ 63.47 %]\n", + "Output : 0.00150002 [ 0.03 %]\n", + "Levels : 0.000252078 [ 0.01 %]\n", + "Report : 8.9e-07 [ 0.00 %]\n", + "Balance : 4.02e-07 [ 0.00 %]\n", + "Adjust : 0.912587 [ 21.01 %]\n", + "Total : 4.343 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5789 655 339 158 201 \n", - "1 : 5814 633 352 172 171 \n", - "2 : 5742 625 397 187 191 \n", - "3 : 5778 639 363 176 186 \n", - "4 : 5766 632 370 196 178 \n", - "5 : 5850 585 368 165 174 \n", - "6 : 5804 592 391 176 179 \n", - "7 : 5808 586 387 152 209 \n", - "8 : 5830 562 378 166 206 \n", - "9 : 5781 633 380 172 176 \n", - "10 : 5777 641 388 159 177 \n", - "11 : 5739 647 397 172 187 \n", - "12 : 5782 617 378 192 173 \n", - "13 : 5802 614 399 155 184 \n", + "0 : 5760 722 386 127 147 \n", + "1 : 5769 703 364 136 170 \n", + "2 : 5721 741 381 149 150 \n", + "3 : 5776 714 383 131 138 \n", + "4 : 5747 761 360 139 135 \n", + "5 : 5788 732 366 124 132 \n", + "6 : 5773 769 346 129 125 \n", + "7 : 5755 779 344 134 130 \n", + "8 : 5794 687 343 139 179 \n", + "9 : 5805 692 371 137 137 \n", + "10 : 5803 679 356 142 162 \n", + "11 : 5735 742 398 128 139 \n", + "12 : 5820 679 348 135 160 \n", + "13 : 5790 724 369 128 143 \n", "\n", - "T : 81062 8661 5287 2398 2592 [100000]\n", + "T : 80836 10124 5115 1878 2047 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.6%\n", - "--- Adj/Tot = 2.6%\n", - "--- Update = 9.6614e-03 sec\n", - "--- Collate = 6.2887e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 6.2593e-02 sec\n", + "--- Collate = 8.0392e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.041387e-06 < 6.250000e-03 [1557]\n", - "--- Max DT=3.152084e+00 > 1.000000e-01 [68054]\n", + "--- Min DT=4.323771e-06 < 6.250000e-03 [1189]\n", + "--- Max DT=3.493693e+00 > 1.000000e-01 [67236]\n", "----------------------------------------------------------------------\n", - " Component | low: 1557/100000\n", - " Component | high: 68054/100000\n", + " Component | low: 1189/100000\n", + " Component | high: 67236/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=97.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00104113 [ 0.70 %]\n", - "Velocity : 0.00361888 [ 2.43 %]\n", - "Force : 0.056842 [ 38.10 %]\n", - "Coefs : 0.0233982 [ 15.68 %]\n", - "Output : 0.000870434 [ 0.58 %]\n", - "Levels : 0.00018196 [ 0.12 %]\n", - "Report : 8.04e-07 [ 0.00 %]\n", - "Balance : 2.68e-07 [ 0.00 %]\n", - "Adjust : 0.0631842 [ 42.35 %]\n", - "Total : 0.149185 [100.00 %]\n", + "Drift : 0.00115189 [ 0.03 %]\n", + "Velocity : 0.0153974 [ 0.41 %]\n", + "Force : 0.631682 [ 16.64 %]\n", + "Coefs : 2.35629 [ 62.05 %]\n", + "Output : 0.00146142 [ 0.04 %]\n", + "Levels : 0.000281704 [ 0.01 %]\n", + "Report : 8.85e-07 [ 0.00 %]\n", + "Balance : 5.27e-07 [ 0.00 %]\n", + "Adjust : 0.790792 [ 20.83 %]\n", + "Total : 3.79711 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5786 646 349 155 206 \n", - "1 : 5809 646 355 155 177 \n", - "2 : 5739 626 400 184 193 \n", - "3 : 5776 644 365 171 186 \n", - "4 : 5768 635 374 193 172 \n", - "5 : 5845 597 361 157 182 \n", - "6 : 5809 590 397 166 180 \n", - "7 : 5809 585 387 157 204 \n", - "8 : 5829 561 382 163 207 \n", - "9 : 5778 631 383 166 184 \n", - "10 : 5778 638 393 154 179 \n", - "11 : 5740 643 407 159 193 \n", - "12 : 5783 620 382 178 179 \n", - "13 : 5794 622 401 151 186 \n", + "0 : 5753 729 382 132 146 \n", + "1 : 5764 703 367 151 157 \n", + "2 : 5727 725 395 149 146 \n", + "3 : 5768 721 374 132 147 \n", + "4 : 5748 756 369 136 133 \n", + "5 : 5792 727 367 125 131 \n", + "6 : 5772 771 342 120 137 \n", + "7 : 5759 764 345 144 130 \n", + "8 : 5796 690 338 143 175 \n", + "9 : 5804 702 361 131 144 \n", + "10 : 5797 685 347 158 155 \n", + "11 : 5737 743 393 127 142 \n", + "12 : 5816 681 347 137 161 \n", + "13 : 5785 725 379 136 129 \n", "\n", - "T : 81043 8684 5336 2309 2628 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 80818 10122 5106 1921 2033 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.7%\n", - "--- Adj/Tot = 2.7%\n", - "--- Update = 9.9891e-03 sec\n", - "--- Collate = 6.2899e-05 sec\n", + "--- Coef/DT = 2.4%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 5.2363e-02 sec\n", + "--- Collate = 2.1040e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.797322e-06 < 6.250000e-03 [1568]\n", - "--- Max DT=3.159113e+00 > 1.000000e-01 [68028]\n", + "--- Min DT=3.294483e-07 < 6.250000e-03 [1224]\n", + "--- Max DT=3.500861e+00 > 1.000000e-01 [67247]\n", "----------------------------------------------------------------------\n", - " Component | low: 1568/100000\n", - " Component | high: 68028/100000\n", + " Component | low: 1224/100000\n", + " Component | high: 67247/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=97.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000983634 [ 0.66 %]\n", - "Velocity : 0.00355781 [ 2.37 %]\n", - "Force : 0.0576267 [ 38.42 %]\n", - "Coefs : 0.0232851 [ 15.53 %]\n", - "Output : 0.000812501 [ 0.54 %]\n", - "Levels : 0.000192251 [ 0.13 %]\n", - "Report : 6.04e-07 [ 0.00 %]\n", - "Balance : 1.71e-07 [ 0.00 %]\n", - "Adjust : 0.0634727 [ 42.32 %]\n", - "Total : 0.149976 [100.00 %]\n", + "Drift : 0.000552679 [ 0.02 %]\n", + "Velocity : 0.00251858 [ 0.07 %]\n", + "Force : 0.586526 [ 16.63 %]\n", + "Coefs : 2.21045 [ 62.68 %]\n", + "Output : 0.00136393 [ 0.04 %]\n", + "Levels : 0.000239668 [ 0.01 %]\n", + "Report : 1.3e-06 [ 0.00 %]\n", + "Balance : 5.14e-07 [ 0.00 %]\n", + "Adjust : 0.725124 [ 20.56 %]\n", + "Total : 3.52682 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5782 654 343 161 202 \n", - "1 : 5802 655 357 151 177 \n", - "2 : 5738 629 398 178 199 \n", - "3 : 5778 638 373 175 178 \n", - "4 : 5767 631 371 199 174 \n", - "5 : 5844 603 348 155 192 \n", - "6 : 5807 600 388 162 185 \n", - "7 : 5807 594 380 167 194 \n", - "8 : 5823 573 357 175 214 \n", - "9 : 5780 633 375 176 178 \n", - "10 : 5779 631 402 156 174 \n", - "11 : 5734 653 409 159 187 \n", - "12 : 5772 633 388 167 182 \n", - "13 : 5797 612 408 160 177 \n", + "0 : 5757 719 381 142 143 \n", + "1 : 5767 700 362 159 154 \n", + "2 : 5726 716 398 152 150 \n", + "3 : 5771 721 368 140 142 \n", + "4 : 5755 751 372 128 136 \n", + "5 : 5795 721 368 128 130 \n", + "6 : 5774 764 348 110 146 \n", + "7 : 5760 768 341 151 122 \n", + "8 : 5795 697 327 155 168 \n", + "9 : 5803 703 358 122 156 \n", + "10 : 5797 685 345 158 157 \n", + "11 : 5738 745 391 128 140 \n", + "12 : 5818 683 342 134 165 \n", + "13 : 5787 721 382 143 121 \n", "\n", - "T : 81010 8739 5297 2341 2613 [100000]\n", + "T : 80843 10094 5083 1950 2030 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.8%\n", - "--- Adj/Tot = 2.7%\n", - "--- Update = 1.0696e-02 sec\n", - "--- Collate = 6.7519e-05 sec\n", + "--- Coef/DT = 2.0%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 4.6681e-02 sec\n", + "--- Collate = 3.8679e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.870369e-06 < 6.250000e-03 [1563]\n", - "--- Max DT=3.166144e+00 > 1.000000e-01 [68016]\n", + "--- Min DT=3.979321e-06 < 6.250000e-03 [1235]\n", + "--- Max DT=3.508030e+00 > 1.000000e-01 [67242]\n", "----------------------------------------------------------------------\n", - " Component | low: 1563/100000\n", - " Component | high: 68016/100000\n", + " Component | low: 1235/100000\n", + " Component | high: 67242/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=97.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0011858 [ 0.64 %]\n", - "Velocity : 0.00352353 [ 1.91 %]\n", - "Force : 0.0673944 [ 36.51 %]\n", - "Coefs : 0.0244398 [ 13.24 %]\n", - "Output : 0.00181009 [ 0.98 %]\n", - "Levels : 0.000251869 [ 0.14 %]\n", - "Report : 8.04e-07 [ 0.00 %]\n", - "Balance : 3.72e-07 [ 0.00 %]\n", - "Adjust : 0.0859087 [ 46.55 %]\n", - "Total : 0.184569 [100.00 %]\n", + "Drift : 0.000559788 [ 0.02 %]\n", + "Velocity : 0.0023032 [ 0.08 %]\n", + "Force : 0.487722 [ 15.97 %]\n", + "Coefs : 1.95279 [ 63.96 %]\n", + "Output : 0.00122493 [ 0.04 %]\n", + "Levels : 0.000297664 [ 0.01 %]\n", + "Report : 9.31e-07 [ 0.00 %]\n", + "Balance : 4.98e-07 [ 0.00 %]\n", + "Adjust : 0.608304 [ 19.92 %]\n", + "Total : 3.05325 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5783 655 337 163 204 \n", - "1 : 5807 650 365 149 171 \n", - "2 : 5736 625 411 171 199 \n", - "3 : 5777 642 361 174 188 \n", - "4 : 5768 622 378 197 177 \n", - "5 : 5832 609 353 163 185 \n", - "6 : 5806 606 379 162 189 \n", - "7 : 5807 594 377 171 193 \n", - "8 : 5823 564 365 186 204 \n", - "9 : 5780 627 384 170 181 \n", - "10 : 5778 634 407 155 168 \n", - "11 : 5735 654 398 171 184 \n", - "12 : 5769 630 392 174 177 \n", - "13 : 5791 614 404 173 172 \n", + "0 : 5756 718 382 144 142 \n", + "1 : 5762 710 356 171 143 \n", + "2 : 5726 724 395 148 149 \n", + "3 : 5772 721 365 137 147 \n", + "4 : 5757 752 369 130 134 \n", + "5 : 5804 710 368 115 145 \n", + "6 : 5783 757 344 123 135 \n", + "7 : 5759 761 347 145 130 \n", + "8 : 5793 693 336 156 164 \n", + "9 : 5808 701 350 130 153 \n", + "10 : 5797 686 351 156 152 \n", + "11 : 5738 753 375 135 141 \n", + "12 : 5816 683 341 143 159 \n", + "13 : 5788 728 373 144 121 \n", "\n", - "T : 80992 8726 5311 2379 2592 [100000]\n", + "T : 80859 10097 5052 1977 2015 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.6%\n", - "--- Adj/Tot = 2.9%\n", - "--- Update = 1.0074e-02 sec\n", - "--- Collate = 6.1884e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 5.3524e-02 sec\n", + "--- Collate = 1.0011e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.668117e-07 < 6.250000e-03 [1544]\n", - "--- Max DT=3.173177e+00 > 1.000000e-01 [67994]\n", + "--- Min DT=2.053688e-06 < 6.250000e-03 [1251]\n", + "--- Max DT=3.515202e+00 > 1.000000e-01 [67220]\n", "----------------------------------------------------------------------\n", - " Component | low: 1544/100000\n", - " Component | high: 67994/100000\n", + " Component | low: 1251/100000\n", + " Component | high: 67220/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=97.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00137109 [ 0.85 %]\n", - "Velocity : 0.00450248 [ 2.80 %]\n", - "Force : 0.0607809 [ 37.83 %]\n", - "Coefs : 0.0232329 [ 14.46 %]\n", - "Output : 0.0017211 [ 1.07 %]\n", - "Levels : 0.000321084 [ 0.20 %]\n", - "Report : 8.3e-07 [ 0.00 %]\n", - "Balance : 2.96e-07 [ 0.00 %]\n", - "Adjust : 0.0686901 [ 42.75 %]\n", - "Total : 0.160685 [100.00 %]\n", + "Drift : 0.000763068 [ 0.03 %]\n", + "Velocity : 0.0024193 [ 0.08 %]\n", + "Force : 0.486384 [ 16.05 %]\n", + "Coefs : 1.93013 [ 63.71 %]\n", + "Output : 0.00112105 [ 0.04 %]\n", + "Levels : 0.000266009 [ 0.01 %]\n", + "Report : 1.131e-06 [ 0.00 %]\n", + "Balance : 4.33e-07 [ 0.00 %]\n", + "Adjust : 0.60859 [ 20.09 %]\n", + "Total : 3.02973 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5781 650 347 161 203 \n", - "1 : 5804 645 366 148 179 \n", - "2 : 5727 637 413 175 190 \n", - "3 : 5775 630 379 169 189 \n", - "4 : 5767 626 383 184 182 \n", - "5 : 5836 602 358 167 179 \n", - "6 : 5807 604 377 171 183 \n", - "7 : 5806 591 377 174 194 \n", - "8 : 5820 564 367 184 207 \n", - "9 : 5777 628 388 166 183 \n", - "10 : 5781 632 401 157 171 \n", - "11 : 5736 650 399 175 182 \n", - "12 : 5770 623 401 172 176 \n", - "13 : 5785 611 412 182 164 \n", + "0 : 5764 711 385 141 141 \n", + "1 : 5770 704 363 151 154 \n", + "2 : 5730 726 392 141 153 \n", + "3 : 5775 721 360 136 150 \n", + "4 : 5755 749 371 130 137 \n", + "5 : 5798 712 369 127 136 \n", + "6 : 5775 759 355 125 128 \n", + "7 : 5752 786 331 136 137 \n", + "8 : 5798 684 339 160 161 \n", + "9 : 5805 711 345 126 155 \n", + "10 : 5786 699 349 162 146 \n", + "11 : 5733 759 380 127 143 \n", + "12 : 5815 686 337 146 158 \n", + "13 : 5788 728 368 151 119 \n", "\n", - "T : 80972 8693 5368 2385 2582 [100000]\n", + "T : 80844 10135 5044 1959 2018 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.8%\n", - "--- Adj/Tot = 2.7%\n", - "--- Update = 9.8283e-03 sec\n", - "--- Collate = 6.8848e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 4.1576e-02 sec\n", + "--- Collate = 4.3526e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=4.616708e-07 < 6.250000e-03 [1536]\n", - "--- Max DT=3.180211e+00 > 1.000000e-01 [67971]\n", + "--- Min DT=6.597276e-07 < 6.250000e-03 [1216]\n", + "--- Max DT=3.522375e+00 > 1.000000e-01 [67211]\n", "----------------------------------------------------------------------\n", - " Component | low: 1536/100000\n", - " Component | high: 67971/100000\n", + " Component | low: 1216/100000\n", + " Component | high: 67211/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=97.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.001367 [ 0.86 %]\n", - "Velocity : 0.00454379 [ 2.86 %]\n", - "Force : 0.0602774 [ 37.93 %]\n", - "Coefs : 0.0228159 [ 14.36 %]\n", - "Output : 0.00157014 [ 0.99 %]\n", - "Levels : 0.000235364 [ 0.15 %]\n", - "Report : 5.4e-07 [ 0.00 %]\n", - "Balance : 2.84e-07 [ 0.00 %]\n", - "Adjust : 0.0680568 [ 42.82 %]\n", - "Total : 0.158923 [100.00 %]\n", - "----------------------------------------------------------------------\n", - "\n", - "----------------------------------------------------------------------\n", - "--- Level info--------------------------------------------------------\n", - "----------------------------------------------------------------------\n", - "0 : 5779 645 350 184 184 \n", - "1 : 5806 638 371 151 176 \n", - "2 : 5723 636 420 169 194 \n", - "3 : 5774 636 378 167 187 \n", - "4 : 5771 627 378 181 185 \n", - "5 : 5835 597 364 163 183 \n", - "6 : 5805 602 388 162 185 \n", - "7 : 5803 602 375 174 188 \n", - "8 : 5822 562 366 182 210 \n", - "9 : 5775 616 407 167 177 \n", - "10 : 5778 633 402 165 164 \n", - "11 : 5737 650 395 176 184 \n", - "12 : 5771 626 395 171 179 \n", - "13 : 5778 623 398 186 169 \n", - "\n", - "T : 80957 8693 5387 2398 2565 [100000]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000532656 [ 0.02 %]\n", + "Velocity : 0.00200982 [ 0.06 %]\n", + "Force : 0.555497 [ 17.77 %]\n", + "Coefs : 1.8914 [ 60.51 %]\n", + "Output : 0.00114169 [ 0.04 %]\n", + "Levels : 0.000245949 [ 0.01 %]\n", + "Report : 1.005e-06 [ 0.00 %]\n", + "Balance : 3.25e-07 [ 0.00 %]\n", + "Adjust : 0.674692 [ 21.59 %]\n", + "Total : 3.12558 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5759 716 389 137 141 \n", + "1 : 5773 700 365 147 157 \n", + "2 : 5728 729 393 145 147 \n", + "3 : 5773 728 348 152 141 \n", + "4 : 5754 744 377 126 141 \n", + "5 : 5798 707 369 137 131 \n", + "6 : 5771 763 352 124 132 \n", + "7 : 5748 788 335 129 142 \n", + "8 : 5805 672 346 159 160 \n", + "9 : 5809 708 351 120 154 \n", + "10 : 5794 696 351 159 142 \n", + "11 : 5730 760 379 126 147 \n", + "12 : 5817 688 339 152 146 \n", + "13 : 5793 727 367 146 121 \n", + "\n", + "T : 80852 10126 5061 1959 2002 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.0%\n", - "--- Adj/Tot = 2.9%\n", - "--- Update = 1.0243e-02 sec\n", - "--- Collate = 7.0394e-05 sec\n", + "--- Coef/DT = 5.4%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 5.7560e-02 sec\n", + "--- Collate = 7.0323e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.034134e-06 < 6.250000e-03 [1521]\n", - "--- Max DT=3.187248e+00 > 1.000000e-01 [67932]\n", + "--- Min DT=3.435930e-06 < 6.250000e-03 [1236]\n", + "--- Max DT=3.529550e+00 > 1.000000e-01 [67160]\n", "----------------------------------------------------------------------\n", - " Component | low: 1521/100000\n", - " Component | high: 67932/100000\n", + " Component | low: 1236/100000\n", + " Component | high: 67160/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=97.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00135361 [ 0.85 %]\n", - "Velocity : 0.00453009 [ 2.86 %]\n", - "Force : 0.0600266 [ 37.90 %]\n", - "Coefs : 0.0226196 [ 14.28 %]\n", - "Output : 0.00139145 [ 0.88 %]\n", - "Levels : 0.000233906 [ 0.15 %]\n", - "Report : 8.92e-07 [ 0.00 %]\n", - "Balance : 2.85e-07 [ 0.00 %]\n", - "Adjust : 0.0681819 [ 43.05 %]\n", - "Total : 0.158394 [100.00 %]\n", + "Drift : 0.000463069 [ 0.02 %]\n", + "Velocity : 0.00191843 [ 0.07 %]\n", + "Force : 0.467522 [ 16.90 %]\n", + "Coefs : 1.73235 [ 62.63 %]\n", + "Output : 0.000952966 [ 0.03 %]\n", + "Levels : 0.000229085 [ 0.01 %]\n", + "Report : 9.81e-07 [ 0.00 %]\n", + "Balance : 3.27e-07 [ 0.00 %]\n", + "Adjust : 0.562342 [ 20.33 %]\n", + "Total : 2.76582 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5778 648 346 181 189 \n", - "1 : 5801 645 366 161 169 \n", - "2 : 5716 638 429 168 191 \n", - "3 : 5777 636 378 160 191 \n", - "4 : 5771 617 389 175 190 \n", - "5 : 5832 589 381 167 173 \n", - "6 : 5800 612 374 166 190 \n", - "7 : 5803 607 369 183 180 \n", - "8 : 5822 566 358 191 205 \n", - "9 : 5776 621 400 169 176 \n", - "10 : 5778 628 408 160 168 \n", - "11 : 5734 649 401 172 186 \n", - "12 : 5768 632 392 165 185 \n", - "13 : 5783 619 392 183 177 \n", + "0 : 5753 716 393 137 143 \n", + "1 : 5775 688 379 144 156 \n", + "2 : 5726 728 396 141 151 \n", + "3 : 5769 731 351 152 139 \n", + "4 : 5756 745 372 129 140 \n", + "5 : 5805 698 369 133 137 \n", + "6 : 5771 763 345 130 133 \n", + "7 : 5747 783 342 134 136 \n", + "8 : 5798 681 349 149 165 \n", + "9 : 5811 704 339 129 159 \n", + "10 : 5784 705 349 156 148 \n", + "11 : 5725 765 383 122 147 \n", + "12 : 5822 689 334 153 144 \n", + "13 : 5794 731 368 147 114 \n", "\n", - "T : 80939 8707 5383 2401 2570 [100000]\n", + "T : 80836 10127 5069 1956 2012 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.7%\n", - "--- Adj/Tot = 2.7%\n", - "--- Update = 1.0912e-02 sec\n", - "--- Collate = 7.1503e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 6.1517e-02 sec\n", + "--- Collate = 2.3025e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.897374e-06 < 6.250000e-03 [1499]\n", - "--- Max DT=3.194286e+00 > 1.000000e-01 [67933]\n", + "--- Min DT=1.769501e-06 < 6.250000e-03 [1213]\n", + "--- Max DT=3.536726e+00 > 1.000000e-01 [67154]\n", "----------------------------------------------------------------------\n", - " Component | low: 1499/100000\n", - " Component | high: 67933/100000\n", + " Component | low: 1213/100000\n", + " Component | high: 67154/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=97.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000963025 [ 0.62 %]\n", - "Velocity : 0.00309739 [ 2.00 %]\n", - "Force : 0.0590253 [ 38.20 %]\n", - "Coefs : 0.0230346 [ 14.91 %]\n", - "Output : 0.00124897 [ 0.81 %]\n", - "Levels : 0.000234066 [ 0.15 %]\n", - "Report : 8.18e-07 [ 0.00 %]\n", - "Balance : 2.85e-07 [ 0.00 %]\n", - "Adjust : 0.0668758 [ 43.28 %]\n", - "Total : 0.154531 [100.00 %]\n", + "Drift : 0.000552701 [ 0.02 %]\n", + "Velocity : 0.00217681 [ 0.09 %]\n", + "Force : 0.470423 [ 18.61 %]\n", + "Coefs : 1.38143 [ 54.65 %]\n", + "Output : 0.000815972 [ 0.03 %]\n", + "Levels : 0.000243496 [ 0.01 %]\n", + "Report : 8.02e-07 [ 0.00 %]\n", + "Balance : 2.69e-07 [ 0.00 %]\n", + "Adjust : 0.672083 [ 26.59 %]\n", + "Total : 2.52777 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5783 646 340 177 196 \n", - "1 : 5803 640 375 149 175 \n", - "2 : 5712 647 415 182 186 \n", - "3 : 5778 623 397 154 190 \n", - "4 : 5769 615 400 168 190 \n", - "5 : 5832 584 392 169 165 \n", - "6 : 5799 607 379 169 188 \n", - "7 : 5805 601 373 188 175 \n", - "8 : 5826 553 373 193 197 \n", - "9 : 5774 625 401 168 174 \n", - "10 : 5780 628 393 169 172 \n", - "11 : 5728 650 405 170 189 \n", - "12 : 5768 623 398 174 179 \n", - "13 : 5782 620 385 191 176 \n", + "0 : 5746 727 385 151 133 \n", + "1 : 5776 686 386 137 157 \n", + "2 : 5730 726 402 133 151 \n", + "3 : 5771 734 347 145 145 \n", + "4 : 5756 741 374 134 137 \n", + "5 : 5811 698 374 129 130 \n", + "6 : 5769 765 341 133 134 \n", + "7 : 5749 783 342 125 143 \n", + "8 : 5793 687 354 152 156 \n", + "9 : 5810 709 330 128 165 \n", + "10 : 5784 702 350 156 150 \n", + "11 : 5725 762 372 139 144 \n", + "12 : 5819 688 344 140 151 \n", + "13 : 5794 735 366 140 119 \n", "\n", - "T : 80939 8662 5426 2421 2552 [100000]\n", + "T : 80833 10143 5067 1942 2015 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.8%\n", - "--- Adj/Tot = 2.9%\n", - "--- Update = 1.0238e-02 sec\n", - "--- Collate = 5.9312e-05 sec\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 4.7539e-02 sec\n", + "--- Collate = 1.4032e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.997591e-07 < 6.250000e-03 [1487]\n", - "--- Max DT=3.201327e+00 > 1.000000e-01 [67946]\n", + "--- Min DT=3.486005e-06 < 6.250000e-03 [1225]\n", + "--- Max DT=3.543905e+00 > 1.000000e-01 [67135]\n", "----------------------------------------------------------------------\n", - " Component | low: 1487/100000\n", - " Component | high: 67946/100000\n", + " Component | low: 1225/100000\n", + " Component | high: 67135/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=98] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00132693 [ 0.79 %]\n", - "Velocity : 0.00446825 [ 2.65 %]\n", - "Force : 0.0622249 [ 36.92 %]\n", - "Coefs : 0.0231871 [ 13.76 %]\n", - "Output : 0.00657946 [ 3.90 %]\n", - "Levels : 0.000287847 [ 0.17 %]\n", - "Report : 1.184e-06 [ 0.00 %]\n", - "Balance : 7.99e-07 [ 0.00 %]\n", - "Adjust : 0.0704027 [ 41.77 %]\n", - "Total : 0.168538 [100.00 %]\n", + "Drift : 0.000524197 [ 0.01 %]\n", + "Velocity : 0.00210944 [ 0.06 %]\n", + "Force : 0.578685 [ 16.08 %]\n", + "Coefs : 2.20533 [ 61.30 %]\n", + "Output : 0.0120604 [ 0.34 %]\n", + "Levels : 0.000258316 [ 0.01 %]\n", + "Report : 1.029e-06 [ 0.00 %]\n", + "Balance : 4.72e-07 [ 0.00 %]\n", + "Adjust : 0.79869 [ 22.20 %]\n", + "Total : 3.59771 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5781 644 338 178 201 \n", - "1 : 5799 647 378 136 182 \n", - "2 : 5708 652 414 180 188 \n", - "3 : 5776 618 405 157 186 \n", - "4 : 5771 618 396 164 193 \n", - "5 : 5832 580 383 185 162 \n", - "6 : 5803 600 379 162 198 \n", - "7 : 5803 601 385 170 183 \n", - "8 : 5822 562 366 201 191 \n", - "9 : 5775 627 403 162 175 \n", - "10 : 5781 626 400 161 174 \n", - "11 : 5725 661 389 186 181 \n", - "12 : 5769 620 399 176 178 \n", - "13 : 5789 623 376 183 183 \n", + "0 : 5749 729 377 157 130 \n", + "1 : 5776 692 381 136 157 \n", + "2 : 5734 731 396 126 155 \n", + "3 : 5770 735 349 129 159 \n", + "4 : 5746 751 368 134 143 \n", + "5 : 5806 710 367 118 141 \n", + "6 : 5779 751 343 138 131 \n", + "7 : 5746 789 343 127 137 \n", + "8 : 5794 686 359 140 163 \n", + "9 : 5809 708 331 129 165 \n", + "10 : 5792 691 356 150 153 \n", + "11 : 5732 761 360 146 143 \n", + "12 : 5816 694 345 132 155 \n", + "13 : 5790 740 364 134 126 \n", "\n", - "T : 80934 8679 5411 2401 2575 [100000]\n", + "T : 80839 10168 5039 1896 2058 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.4%\n", - "--- Adj/Tot = 2.9%\n", - "--- Update = 9.9447e-03 sec\n", - "--- Collate = 6.1388e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 4.6539e-02 sec\n", + "--- Collate = 9.0382e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.059288e-06 < 6.250000e-03 [1509]\n", - "--- Max DT=3.208369e+00 > 1.000000e-01 [67929]\n", + "--- Min DT=1.357140e-06 < 6.250000e-03 [1203]\n", + "--- Max DT=3.551085e+00 > 1.000000e-01 [67144]\n", "----------------------------------------------------------------------\n", - " Component | low: 1509/100000\n", - " Component | high: 67929/100000\n", + " Component | low: 1203/100000\n", + " Component | high: 67144/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=98.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.0011833 [ 0.75 %]\n", - "Velocity : 0.00452509 [ 2.85 %]\n", - "Force : 0.0601224 [ 37.89 %]\n", - "Coefs : 0.0230644 [ 14.53 %]\n", - "Output : 0.00156125 [ 0.98 %]\n", - "Levels : 0.000240127 [ 0.15 %]\n", - "Report : 5.69e-07 [ 0.00 %]\n", - "Balance : 2.97e-07 [ 0.00 %]\n", - "Adjust : 0.0679372 [ 42.81 %]\n", - "Total : 0.15869 [100.00 %]\n", + "Drift : 0.000760243 [ 0.02 %]\n", + "Velocity : 0.00256772 [ 0.07 %]\n", + "Force : 0.56303 [ 16.02 %]\n", + "Coefs : 2.33069 [ 66.30 %]\n", + "Output : 0.00148075 [ 0.04 %]\n", + "Levels : 0.000319185 [ 0.01 %]\n", + "Report : 1.071e-06 [ 0.00 %]\n", + "Balance : 3.7e-07 [ 0.00 %]\n", + "Adjust : 0.616608 [ 17.54 %]\n", + "Total : 3.51551 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5784 642 347 168 201 \n", - "1 : 5810 642 379 131 180 \n", - "2 : 5706 661 398 187 190 \n", - "3 : 5773 623 400 163 183 \n", - "4 : 5764 623 390 175 190 \n", - "5 : 5831 581 385 187 158 \n", - "6 : 5802 603 374 169 194 \n", - "7 : 5807 600 380 167 188 \n", - "8 : 5821 563 367 199 192 \n", - "9 : 5771 633 401 170 167 \n", - "10 : 5776 625 408 167 166 \n", - "11 : 5722 656 397 181 186 \n", - "12 : 5767 619 406 176 174 \n", - "13 : 5781 634 359 194 186 \n", + "0 : 5746 730 387 143 136 \n", + "1 : 5775 698 369 133 167 \n", + "2 : 5734 730 391 131 156 \n", + "3 : 5772 729 353 133 155 \n", + "4 : 5751 743 362 144 142 \n", + "5 : 5806 709 365 126 136 \n", + "6 : 5781 752 333 140 136 \n", + "7 : 5741 788 354 125 134 \n", + "8 : 5796 684 361 147 154 \n", + "9 : 5799 708 340 134 161 \n", + "10 : 5790 697 349 154 152 \n", + "11 : 5730 766 359 144 143 \n", + "12 : 5812 697 354 123 156 \n", + "13 : 5792 742 364 133 123 \n", "\n", - "T : 80915 8705 5391 2434 2555 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 80825 10173 5041 1910 2051 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.3%\n", - "--- Adj/Tot = 2.9%\n", - "--- Update = 1.0656e-02 sec\n", - "--- Collate = 8.7352e-05 sec\n", + "--- Coef/DT = 24.9%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 5.6503e-02 sec\n", + "--- Collate = 6.0278e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.455359e-06 < 6.250000e-03 [1517]\n", - "--- Max DT=3.215413e+00 > 1.000000e-01 [67932]\n", + "--- Min DT=1.692762e-06 < 6.250000e-03 [1224]\n", + "--- Max DT=3.558267e+00 > 1.000000e-01 [67148]\n", "----------------------------------------------------------------------\n", - " Component | low: 1517/100000\n", - " Component | high: 67932/100000\n", + " Component | low: 1224/100000\n", + " Component | high: 67148/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=98.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00135044 [ 0.87 %]\n", - "Velocity : 0.00373553 [ 2.40 %]\n", - "Force : 0.058454 [ 37.58 %]\n", - "Coefs : 0.022469 [ 14.44 %]\n", - "Output : 0.00152469 [ 0.98 %]\n", - "Levels : 0.000240183 [ 0.15 %]\n", - "Report : 8.21e-07 [ 0.00 %]\n", - "Balance : 3.64e-07 [ 0.00 %]\n", - "Adjust : 0.0677272 [ 43.54 %]\n", - "Total : 0.155554 [100.00 %]\n", + "Drift : 0.000521172 [ 0.02 %]\n", + "Velocity : 0.0025199 [ 0.07 %]\n", + "Force : 0.573123 [ 16.86 %]\n", + "Coefs : 2.09777 [ 61.70 %]\n", + "Output : 0.00140564 [ 0.04 %]\n", + "Levels : 0.000399017 [ 0.01 %]\n", + "Report : 1.098e-06 [ 0.00 %]\n", + "Balance : 5.72e-07 [ 0.00 %]\n", + "Adjust : 0.724361 [ 21.30 %]\n", + "Total : 3.40015 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5776 651 353 154 208 \n", - "1 : 5813 636 380 135 178 \n", - "2 : 5711 657 402 191 181 \n", - "3 : 5770 627 397 156 192 \n", - "4 : 5765 621 391 167 198 \n", - "5 : 5839 575 380 187 161 \n", - "6 : 5798 604 379 171 190 \n", - "7 : 5801 612 370 175 184 \n", - "8 : 5820 571 364 196 191 \n", - "9 : 5767 642 392 172 169 \n", - "10 : 5768 632 412 161 169 \n", - "11 : 5725 653 400 181 183 \n", - "12 : 5768 625 399 177 173 \n", - "13 : 5785 623 375 178 193 \n", + "0 : 5742 730 393 138 139 \n", + "1 : 5766 699 378 136 163 \n", + "2 : 5732 736 383 125 166 \n", + "3 : 5772 731 355 131 153 \n", + "4 : 5749 747 365 146 135 \n", + "5 : 5808 708 366 121 139 \n", + "6 : 5779 750 343 139 131 \n", + "7 : 5738 783 362 128 131 \n", + "8 : 5795 694 359 143 151 \n", + "9 : 5804 701 337 143 157 \n", + "10 : 5782 706 349 151 154 \n", + "11 : 5727 764 368 141 142 \n", + "12 : 5807 697 359 132 147 \n", + "13 : 5783 746 372 123 130 \n", "\n", - "T : 80906 8729 5394 2401 2570 [100000]\n", + "T : 80784 10192 5089 1897 2038 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.0%\n", - "--- Adj/Tot = 2.7%\n", - "--- Update = 9.7978e-03 sec\n", - "--- Collate = 5.1358e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 5.4433e-02 sec\n", + "--- Collate = 1.6045e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.103981e-07 < 6.250000e-03 [1535]\n", - "--- Max DT=3.222459e+00 > 1.000000e-01 [67919]\n", + "--- Min DT=2.162619e-06 < 6.250000e-03 [1221]\n", + "--- Max DT=3.565451e+00 > 1.000000e-01 [67138]\n", "----------------------------------------------------------------------\n", - " Component | low: 1535/100000\n", - " Component | high: 67919/100000\n", + " Component | low: 1221/100000\n", + " Component | high: 67138/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=98.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00139362 [ 0.90 %]\n", - "Velocity : 0.00417524 [ 2.71 %]\n", - "Force : 0.0592159 [ 38.45 %]\n", - "Coefs : 0.0228793 [ 14.86 %]\n", - "Output : 0.00122817 [ 0.80 %]\n", - "Levels : 0.000201536 [ 0.13 %]\n", - "Report : 8.67e-07 [ 0.00 %]\n", - "Balance : 3.27e-07 [ 0.00 %]\n", - "Adjust : 0.0648486 [ 42.11 %]\n", - "Total : 0.153992 [100.00 %]\n", + "Drift : 0.000561753 [ 0.02 %]\n", + "Velocity : 0.00332498 [ 0.12 %]\n", + "Force : 0.479606 [ 17.10 %]\n", + "Coefs : 1.68308 [ 60.02 %]\n", + "Output : 0.00158086 [ 0.06 %]\n", + "Levels : 0.000311342 [ 0.01 %]\n", + "Report : 1.351e-06 [ 0.00 %]\n", + "Balance : 4.55e-07 [ 0.00 %]\n", + "Adjust : 0.635456 [ 22.66 %]\n", + "Total : 2.80398 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5776 649 362 153 202 \n", - "1 : 5813 626 387 143 173 \n", - "2 : 5711 650 406 187 188 \n", - "3 : 5773 629 389 172 179 \n", - "4 : 5760 634 375 170 203 \n", - "5 : 5837 576 379 174 176 \n", - "6 : 5798 606 377 160 201 \n", - "7 : 5798 609 383 165 187 \n", - "8 : 5820 576 366 191 189 \n", - "9 : 5764 644 394 164 176 \n", - "10 : 5768 630 413 158 173 \n", - "11 : 5726 651 401 182 182 \n", - "12 : 5767 631 393 173 178 \n", - "13 : 5779 626 379 167 203 \n", + "0 : 5743 737 387 145 130 \n", + "1 : 5767 700 376 134 165 \n", + "2 : 5732 733 382 132 163 \n", + "3 : 5766 734 351 147 144 \n", + "4 : 5746 745 375 140 136 \n", + "5 : 5806 711 368 120 137 \n", + "6 : 5774 753 336 145 134 \n", + "7 : 5736 793 353 126 134 \n", + "8 : 5793 692 366 146 145 \n", + "9 : 5803 704 329 139 167 \n", + "10 : 5781 713 349 155 144 \n", + "11 : 5727 758 369 144 144 \n", + "12 : 5809 702 352 130 149 \n", + "13 : 5788 747 358 126 135 \n", "\n", - "T : 80890 8737 5404 2359 2610 [100000]\n", + "T : 80771 10222 5051 1929 2027 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.1%\n", - "--- Adj/Tot = 2.8%\n", - "--- Update = 1.0131e-02 sec\n", - "--- Collate = 6.3757e-05 sec\n", + "--- Coef/DT = 1.7%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 5.2635e-02 sec\n", + "--- Collate = 1.1033e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=5.200247e-07 < 6.250000e-03 [1537]\n", - "--- Max DT=3.229507e+00 > 1.000000e-01 [67904]\n", + "--- Min DT=7.713580e-07 < 6.250000e-03 [1235]\n", + "--- Max DT=3.572636e+00 > 1.000000e-01 [67122]\n", "----------------------------------------------------------------------\n", - " Component | low: 1537/100000\n", - " Component | high: 67904/100000\n", + " Component | low: 1235/100000\n", + " Component | high: 67122/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=98.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00135263 [ 0.81 %]\n", - "Velocity : 0.00434202 [ 2.59 %]\n", - "Force : 0.0594331 [ 35.49 %]\n", - "Coefs : 0.0229906 [ 13.73 %]\n", - "Output : 0.00160071 [ 0.96 %]\n", - "Levels : 0.00866588 [ 5.17 %]\n", - "Report : 9.24e-07 [ 0.00 %]\n", - "Balance : 5.62e-07 [ 0.00 %]\n", - "Adjust : 0.0690176 [ 41.21 %]\n", - "Total : 0.16746 [100.00 %]\n", + "Drift : 0.000500478 [ 0.01 %]\n", + "Velocity : 0.00201057 [ 0.06 %]\n", + "Force : 0.591646 [ 16.42 %]\n", + "Coefs : 2.18253 [ 60.57 %]\n", + "Output : 0.00128141 [ 0.04 %]\n", + "Levels : 0.000243077 [ 0.01 %]\n", + "Report : 1.327e-06 [ 0.00 %]\n", + "Balance : 5.19e-07 [ 0.00 %]\n", + "Adjust : 0.824812 [ 22.89 %]\n", + "Total : 3.60308 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5768 656 370 151 197 \n", - "1 : 5816 623 396 135 172 \n", - "2 : 5713 641 412 176 200 \n", - "3 : 5771 627 385 174 185 \n", - "4 : 5761 631 382 162 206 \n", - "5 : 5833 581 379 171 178 \n", - "6 : 5795 609 382 156 200 \n", - "7 : 5802 608 379 157 196 \n", - "8 : 5814 580 372 181 195 \n", - "9 : 5762 647 398 157 178 \n", - "10 : 5769 633 410 170 160 \n", - "11 : 5725 646 408 176 187 \n", - "12 : 5766 635 390 164 187 \n", - "13 : 5775 634 374 158 213 \n", + "0 : 5741 739 385 146 131 \n", + "1 : 5758 719 356 144 165 \n", + "2 : 5734 731 377 143 157 \n", + "3 : 5763 735 347 152 145 \n", + "4 : 5743 751 368 144 136 \n", + "5 : 5811 698 377 120 136 \n", + "6 : 5772 754 337 147 132 \n", + "7 : 5737 789 358 131 127 \n", + "8 : 5790 703 366 133 150 \n", + "9 : 5797 708 341 132 164 \n", + "10 : 5782 722 344 146 148 \n", + "11 : 5725 761 365 137 154 \n", + "12 : 5809 705 354 128 146 \n", + "13 : 5787 754 353 120 140 \n", "\n", - "T : 80870 8751 5437 2288 2654 [100000]\n", + "T : 80749 10269 5028 1923 2031 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.2%\n", - "--- Adj/Tot = 2.8%\n", - "--- Update = 9.7691e-03 sec\n", - "--- Collate = 7.0554e-05 sec\n", + "--- Coef/DT = 31.3%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 6.8066e-02 sec\n", + "--- Collate = 1.1016e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.981324e-06 < 6.250000e-03 [1566]\n", - "--- Max DT=3.236557e+00 > 1.000000e-01 [67876]\n", + "--- Min DT=2.346669e-07 < 6.250000e-03 [1212]\n", + "--- Max DT=3.579823e+00 > 1.000000e-01 [67101]\n", "----------------------------------------------------------------------\n", - " Component | low: 1566/100000\n", - " Component | high: 67876/100000\n", + " Component | low: 1212/100000\n", + " Component | high: 67101/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=98.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000989743 [ 0.66 %]\n", - "Velocity : 0.00361094 [ 2.40 %]\n", - "Force : 0.0584654 [ 38.79 %]\n", - "Coefs : 0.0228066 [ 15.13 %]\n", - "Output : 0.000879542 [ 0.58 %]\n", - "Levels : 0.000197074 [ 0.13 %]\n", - "Report : 4.58e-07 [ 0.00 %]\n", - "Balance : 2.53e-07 [ 0.00 %]\n", - "Adjust : 0.063717 [ 42.28 %]\n", - "Total : 0.150711 [100.00 %]\n", + "Drift : 0.000446891 [ 0.01 %]\n", + "Velocity : 0.00257052 [ 0.07 %]\n", + "Force : 0.636739 [ 18.02 %]\n", + "Coefs : 2.13826 [ 60.50 %]\n", + "Output : 0.00096483 [ 0.03 %]\n", + "Levels : 0.000249922 [ 0.01 %]\n", + "Report : 6.29e-07 [ 0.00 %]\n", + "Balance : 4.08e-07 [ 0.00 %]\n", + "Adjust : 0.75519 [ 21.37 %]\n", + "Total : 3.53446 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5763 657 370 163 189 \n", - "1 : 5814 628 392 139 169 \n", - "2 : 5709 636 421 183 193 \n", - "3 : 5773 622 382 181 184 \n", - "4 : 5759 629 383 168 203 \n", - "5 : 5824 576 398 170 174 \n", - "6 : 5794 615 379 159 195 \n", - "7 : 5798 614 380 163 187 \n", - "8 : 5810 582 371 178 201 \n", - "9 : 5760 649 401 152 180 \n", - "10 : 5764 641 408 165 164 \n", - "11 : 5724 643 415 185 175 \n", - "12 : 5768 630 392 178 174 \n", - "13 : 5773 637 374 149 221 \n", + "0 : 5743 739 389 145 126 \n", + "1 : 5759 723 348 159 153 \n", + "2 : 5728 734 372 152 156 \n", + "3 : 5760 731 360 157 134 \n", + "4 : 5745 747 365 134 151 \n", + "5 : 5812 697 378 124 131 \n", + "6 : 5774 757 338 137 136 \n", + "7 : 5734 795 358 133 122 \n", + "8 : 5785 711 366 134 146 \n", + "9 : 5806 694 356 119 167 \n", + "10 : 5785 713 349 149 146 \n", + "11 : 5729 748 373 145 147 \n", + "12 : 5809 704 360 126 143 \n", + "13 : 5789 756 347 121 141 \n", "\n", - "T : 80833 8759 5466 2333 2609 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 80758 10249 5059 1935 1999 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 4.8%\n", - "--- Adj/Tot = 2.8%\n", - "--- Update = 9.9586e-03 sec\n", - "--- Collate = 8.2741e-05 sec\n", + "--- Coef/DT = 1.4%\n", + "--- Adj/Tot = 1.6%\n", + "--- Update = 4.2316e-02 sec\n", + "--- Collate = 4.0465e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=9.967431e-07 < 6.250000e-03 [1578]\n", - "--- Max DT=3.243608e+00 > 1.000000e-01 [67857]\n", + "--- Min DT=8.140682e-07 < 6.250000e-03 [1190]\n", + "--- Max DT=3.587012e+00 > 1.000000e-01 [67116]\n", "----------------------------------------------------------------------\n", - " Component | low: 1578/100000\n", - " Component | high: 67857/100000\n", + " Component | low: 1190/100000\n", + " Component | high: 67116/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=98.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000998833 [ 0.66 %]\n", - "Velocity : 0.00368397 [ 2.45 %]\n", - "Force : 0.0586252 [ 39.00 %]\n", - "Coefs : 0.0230886 [ 15.36 %]\n", - "Output : 0.000833363 [ 0.55 %]\n", - "Levels : 0.000201409 [ 0.13 %]\n", - "Report : 4.87e-07 [ 0.00 %]\n", - "Balance : 2.01e-07 [ 0.00 %]\n", - "Adjust : 0.0628435 [ 41.81 %]\n", - "Total : 0.150321 [100.00 %]\n", + "Drift : 0.000542701 [ 0.02 %]\n", + "Velocity : 0.00269998 [ 0.08 %]\n", + "Force : 0.629082 [ 18.40 %]\n", + "Coefs : 2.15334 [ 63.00 %]\n", + "Output : 0.000981495 [ 0.03 %]\n", + "Levels : 0.00205045 [ 0.06 %]\n", + "Report : 7.69e-07 [ 0.00 %]\n", + "Balance : 3.9e-07 [ 0.00 %]\n", + "Adjust : 0.629369 [ 18.41 %]\n", + "Total : 3.41811 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5749 665 373 159 196 \n", - "1 : 5815 623 386 147 171 \n", - "2 : 5714 639 409 184 196 \n", - "3 : 5769 623 383 180 187 \n", - "4 : 5763 632 377 175 195 \n", - "5 : 5825 580 390 171 176 \n", - "6 : 5791 617 384 154 196 \n", - "7 : 5794 608 390 170 180 \n", - "8 : 5811 577 369 187 198 \n", - "9 : 5759 649 405 142 187 \n", - "10 : 5760 646 404 166 166 \n", - "11 : 5717 652 405 190 178 \n", - "12 : 5766 633 404 159 180 \n", - "13 : 5769 650 351 160 224 \n", + "0 : 5739 739 385 145 134 \n", + "1 : 5758 720 358 149 157 \n", + "2 : 5728 728 371 147 168 \n", + "3 : 5760 734 363 148 137 \n", + "4 : 5746 750 362 129 155 \n", + "5 : 5812 699 372 132 127 \n", + "6 : 5780 749 340 141 132 \n", + "7 : 5731 801 355 127 128 \n", + "8 : 5783 709 370 133 147 \n", + "9 : 5803 695 348 128 168 \n", + "10 : 5785 712 360 139 146 \n", + "11 : 5733 745 369 147 148 \n", + "12 : 5808 692 370 124 148 \n", + "13 : 5787 762 342 127 136 \n", "\n", - "T : 80802 8794 5430 2344 2630 [100000]\n", + "T : 80753 10235 5065 1916 2031 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.0%\n", - "--- Adj/Tot = 2.9%\n", - "--- Update = 1.0147e-02 sec\n", - "--- Collate = 9.3195e-05 sec\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 4.8690e-02 sec\n", + "--- Collate = 2.0239e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.845355e-07 < 6.250000e-03 [1562]\n", - "--- Max DT=3.250662e+00 > 1.000000e-01 [67857]\n", + "--- Min DT=1.791471e-06 < 6.250000e-03 [1182]\n", + "--- Max DT=3.594203e+00 > 1.000000e-01 [67103]\n", "----------------------------------------------------------------------\n", - " Component | low: 1562/100000\n", - " Component | high: 67857/100000\n", + " Component | low: 1182/100000\n", + " Component | high: 67103/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=98.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000964628 [ 0.63 %]\n", - "Velocity : 0.00335673 [ 2.19 %]\n", - "Force : 0.0609293 [ 39.81 %]\n", - "Coefs : 0.0241065 [ 15.75 %]\n", - "Output : 0.000794729 [ 0.52 %]\n", - "Levels : 0.000188062 [ 0.12 %]\n", - "Report : 6.76e-07 [ 0.00 %]\n", - "Balance : 1.83e-07 [ 0.00 %]\n", - "Adjust : 0.0626578 [ 40.94 %]\n", - "Total : 0.153046 [100.00 %]\n", + "Drift : 0.000596535 [ 0.02 %]\n", + "Velocity : 0.00153783 [ 0.05 %]\n", + "Force : 0.464768 [ 16.25 %]\n", + "Coefs : 1.75248 [ 61.28 %]\n", + "Output : 0.000803325 [ 0.03 %]\n", + "Levels : 0.000157946 [ 0.01 %]\n", + "Report : 4.59e-07 [ 0.00 %]\n", + "Balance : 1.66e-07 [ 0.00 %]\n", + "Adjust : 0.63957 [ 22.36 %]\n", + "Total : 2.85996 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5750 665 373 165 189 \n", - "1 : 5810 627 382 147 176 \n", - "2 : 5710 646 400 181 205 \n", - "3 : 5778 609 401 177 177 \n", - "4 : 5767 625 377 177 196 \n", - "5 : 5825 588 385 173 171 \n", - "6 : 5788 623 381 165 185 \n", - "7 : 5792 609 383 170 188 \n", - "8 : 5809 582 360 207 184 \n", - "9 : 5764 642 402 154 180 \n", - "10 : 5760 651 410 157 164 \n", - "11 : 5719 647 416 177 183 \n", - "12 : 5768 638 398 165 173 \n", - "13 : 5767 649 362 168 208 \n", + "0 : 5738 746 385 141 132 \n", + "1 : 5766 725 348 156 147 \n", + "2 : 5728 721 385 132 176 \n", + "3 : 5764 724 371 142 141 \n", + "4 : 5743 757 358 120 164 \n", + "5 : 5811 696 379 128 128 \n", + "6 : 5786 746 342 140 128 \n", + "7 : 5725 803 362 125 127 \n", + "8 : 5781 713 370 136 142 \n", + "9 : 5805 689 349 133 166 \n", + "10 : 5791 704 360 145 142 \n", + "11 : 5736 739 370 147 150 \n", + "12 : 5804 702 370 126 140 \n", + "13 : 5781 766 337 134 136 \n", "\n", - "T : 80807 8801 5430 2383 2579 [100000]\n", + "T : 80759 10231 5086 1905 2019 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.0%\n", - "--- Adj/Tot = 2.9%\n", - "--- Update = 9.9685e-03 sec\n", - "--- Collate = 6.7326e-05 sec\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 2.0%\n", + "--- Update = 4.5654e-02 sec\n", + "--- Collate = 7.8078e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.477498e-07 < 6.250000e-03 [1557]\n", - "--- Max DT=3.257718e+00 > 1.000000e-01 [67841]\n", + "--- Min DT=3.492050e-06 < 6.250000e-03 [1181]\n", + "--- Max DT=3.601395e+00 > 1.000000e-01 [67102]\n", "----------------------------------------------------------------------\n", - " Component | low: 1557/100000\n", - " Component | high: 67841/100000\n", + " Component | low: 1181/100000\n", + " Component | high: 67102/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=98.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000830819 [ 0.53 %]\n", - "Velocity : 0.00346046 [ 2.22 %]\n", - "Force : 0.0607523 [ 38.97 %]\n", - "Coefs : 0.0241155 [ 15.47 %]\n", - "Output : 0.000876493 [ 0.56 %]\n", - "Levels : 0.000174895 [ 0.11 %]\n", - "Report : 7.11e-07 [ 0.00 %]\n", - "Balance : 1.79e-07 [ 0.00 %]\n", - "Adjust : 0.0656219 [ 42.10 %]\n", - "Total : 0.15588 [100.00 %]\n", + "Drift : 0.000263333 [ 0.01 %]\n", + "Velocity : 0.00118254 [ 0.04 %]\n", + "Force : 0.453352 [ 16.65 %]\n", + "Coefs : 1.67008 [ 61.35 %]\n", + "Output : 0.000689128 [ 0.03 %]\n", + "Levels : 0.000141813 [ 0.01 %]\n", + "Report : 5.17e-07 [ 0.00 %]\n", + "Balance : 1.86e-07 [ 0.00 %]\n", + "Adjust : 0.596644 [ 21.92 %]\n", + "Total : 2.72238 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5744 668 378 161 191 \n", - "1 : 5808 631 378 147 178 \n", - "2 : 5711 649 393 189 200 \n", - "3 : 5777 609 399 176 181 \n", - "4 : 5765 628 381 167 201 \n", - "5 : 5823 591 396 158 174 \n", - "6 : 5782 629 380 160 191 \n", - "7 : 5790 607 382 179 184 \n", - "8 : 5810 576 372 202 182 \n", - "9 : 5761 646 395 166 174 \n", - "10 : 5761 647 423 146 165 \n", - "11 : 5719 650 410 178 185 \n", - "12 : 5762 645 397 159 179 \n", - "13 : 5768 652 360 174 200 \n", + "0 : 5742 743 385 135 137 \n", + "1 : 5770 715 363 147 147 \n", + "2 : 5722 733 382 133 172 \n", + "3 : 5763 724 365 135 155 \n", + "4 : 5737 755 363 122 165 \n", + "5 : 5808 698 377 126 133 \n", + "6 : 5789 741 345 133 134 \n", + "7 : 5730 793 367 123 129 \n", + "8 : 5781 710 386 136 129 \n", + "9 : 5805 691 354 128 164 \n", + "10 : 5789 700 373 134 146 \n", + "11 : 5730 749 372 141 150 \n", + "12 : 5799 708 369 132 134 \n", + "13 : 5781 771 323 132 147 \n", "\n", - "T : 80781 8828 5444 2362 2585 [100000]\n", + "T : 80746 10231 5124 1857 2042 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.1%\n", - "--- Adj/Tot = 3.0%\n", - "--- Update = 1.0993e-02 sec\n", - "--- Collate = 6.6407e-05 sec\n", + "--- Coef/DT = 59.2%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 5.5704e-02 sec\n", + "--- Collate = 7.0367e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.661991e-06 < 6.250000e-03 [1549]\n", - "--- Max DT=3.264775e+00 > 1.000000e-01 [67833]\n", + "--- Min DT=1.072720e-06 < 6.250000e-03 [1201]\n", + "--- Max DT=3.608589e+00 > 1.000000e-01 [67112]\n", "----------------------------------------------------------------------\n", - " Component | low: 1549/100000\n", - " Component | high: 67833/100000\n", + " Component | low: 1201/100000\n", + " Component | high: 67112/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=98.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00100486 [ 0.65 %]\n", - "Velocity : 0.00371424 [ 2.42 %]\n", - "Force : 0.0575832 [ 37.47 %]\n", - "Coefs : 0.0232684 [ 15.14 %]\n", - "Output : 0.000912971 [ 0.59 %]\n", - "Levels : 0.000228551 [ 0.15 %]\n", - "Report : 7.33e-07 [ 0.00 %]\n", - "Balance : 3.39e-07 [ 0.00 %]\n", - "Adjust : 0.0668957 [ 43.53 %]\n", - "Total : 0.153669 [100.00 %]\n", + "Drift : 0.000279704 [ 0.01 %]\n", + "Velocity : 0.0014076 [ 0.04 %]\n", + "Force : 0.5239 [ 16.23 %]\n", + "Coefs : 2.09248 [ 64.81 %]\n", + "Output : 0.000960735 [ 0.03 %]\n", + "Levels : 0.000167418 [ 0.01 %]\n", + "Report : 5.82e-07 [ 0.00 %]\n", + "Balance : 1.53e-07 [ 0.00 %]\n", + "Adjust : 0.609662 [ 18.88 %]\n", + "Total : 3.22889 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5748 663 375 167 189 \n", - "1 : 5808 640 371 146 177 \n", - "2 : 5713 645 393 199 192 \n", - "3 : 5778 610 398 160 196 \n", - "4 : 5763 626 386 165 202 \n", - "5 : 5820 592 399 159 172 \n", - "6 : 5781 631 371 174 185 \n", - "7 : 5789 613 367 189 184 \n", - "8 : 5806 587 360 203 186 \n", - "9 : 5763 649 388 164 178 \n", - "10 : 5757 655 418 147 165 \n", - "11 : 5718 650 411 180 183 \n", - "12 : 5761 643 395 167 176 \n", - "13 : 5769 657 360 176 192 \n", + "0 : 5737 747 392 126 140 \n", + "1 : 5772 711 359 149 151 \n", + "2 : 5724 736 377 140 165 \n", + "3 : 5756 737 349 148 152 \n", + "4 : 5735 752 365 124 166 \n", + "5 : 5806 705 371 134 126 \n", + "6 : 5782 746 341 139 134 \n", + "7 : 5734 783 368 125 132 \n", + "8 : 5785 704 391 130 132 \n", + "9 : 5800 696 352 132 162 \n", + "10 : 5788 691 386 129 148 \n", + "11 : 5731 755 361 142 153 \n", + "12 : 5797 716 370 135 124 \n", + "13 : 5782 770 327 124 151 \n", "\n", - "T : 80774 8861 5392 2396 2577 [100000]\n", - "----------------------------------------------------------------------\n", + "T : 80729 10249 5109 1877 2036 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.8%\n", - "--- Adj/Tot = 2.8%\n", - "--- Update = 1.0808e-02 sec\n", - "--- Collate = 7.9275e-05 sec\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.7%\n", + "--- Update = 2.9804e-02 sec\n", + "--- Collate = 1.2524e-05 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.967678e-07 < 6.250000e-03 [1542]\n", - "--- Max DT=3.271834e+00 > 1.000000e-01 [67818]\n", + "--- Min DT=8.539576e-06 < 6.250000e-03 [1203]\n", + "--- Max DT=3.615785e+00 > 1.000000e-01 [67107]\n", "----------------------------------------------------------------------\n", - " Component | low: 1542/100000\n", - " Component | high: 67818/100000\n", + " Component | low: 1203/100000\n", + " Component | high: 67107/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=99] ------------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00117932 [ 0.58 %]\n", - "Velocity : 0.00466714 [ 2.30 %]\n", - "Force : 0.0791395 [ 39.03 %]\n", - "Coefs : 0.024307 [ 11.99 %]\n", - "Output : 0.00756573 [ 3.73 %]\n", - "Levels : 0.000278843 [ 0.14 %]\n", - "Report : 1.276e-06 [ 0.00 %]\n", - "Balance : 7.77e-07 [ 0.00 %]\n", - "Adjust : 0.0855799 [ 42.20 %]\n", - "Total : 0.202784 [100.00 %]\n", + "Drift : 0.000264717 [ 0.01 %]\n", + "Velocity : 0.00125092 [ 0.04 %]\n", + "Force : 0.506388 [ 16.08 %]\n", + "Coefs : 2.01882 [ 64.09 %]\n", + "Output : 0.00289354 [ 0.09 %]\n", + "Levels : 0.000117926 [ 0.00 %]\n", + "Report : 4.1e-07 [ 0.00 %]\n", + "Balance : 1.66e-07 [ 0.00 %]\n", + "Adjust : 0.620008 [ 19.68 %]\n", + "Total : 3.14978 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5743 670 381 161 187 \n", - "1 : 5807 641 371 150 173 \n", - "2 : 5711 655 390 185 201 \n", - "3 : 5779 614 395 166 188 \n", - "4 : 5757 637 386 154 208 \n", - "5 : 5813 600 401 157 171 \n", - "6 : 5780 639 372 165 186 \n", - "7 : 5780 628 357 195 182 \n", - "8 : 5807 577 372 199 187 \n", - "9 : 5764 644 394 158 182 \n", - "10 : 5753 656 412 161 160 \n", - "11 : 5718 652 412 178 182 \n", - "12 : 5758 648 402 157 177 \n", - "13 : 5769 657 357 183 188 \n", + "0 : 5741 742 386 135 138 \n", + "1 : 5772 707 367 145 151 \n", + "2 : 5717 745 372 144 164 \n", + "3 : 5760 730 354 150 148 \n", + "4 : 5731 759 357 128 167 \n", + "5 : 5811 695 369 138 129 \n", + "6 : 5784 742 339 146 131 \n", + "7 : 5736 787 360 126 133 \n", + "8 : 5781 714 381 136 130 \n", + "9 : 5804 693 356 131 158 \n", + "10 : 5787 697 377 133 148 \n", + "11 : 5727 764 350 147 154 \n", + "12 : 5803 707 370 133 129 \n", + "13 : 5785 767 336 123 143 \n", "\n", - "T : 80739 8918 5402 2369 2572 [100000]\n", + "T : 80739 10249 5074 1915 2023 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.5%\n", - "--- Adj/Tot = 2.9%\n", - "--- Update = 1.0666e-02 sec\n", - "--- Collate = 6.9734e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 3.8555e-02 sec\n", + "--- Collate = 7.0095e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=6.023999e-07 < 6.250000e-03 [1542]\n", - "--- Max DT=3.278895e+00 > 1.000000e-01 [67820]\n", + "--- Min DT=2.273784e-07 < 6.250000e-03 [1203]\n", + "--- Max DT=3.622982e+00 > 1.000000e-01 [67119]\n", "----------------------------------------------------------------------\n", - " Component | low: 1542/100000\n", - " Component | high: 67820/100000\n", + " Component | low: 1203/100000\n", + " Component | high: 67119/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=99.1] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00108402 [ 0.57 %]\n", - "Velocity : 0.00563385 [ 2.94 %]\n", - "Force : 0.0653176 [ 34.13 %]\n", - "Coefs : 0.0269135 [ 14.06 %]\n", - "Output : 0.0017495 [ 0.91 %]\n", - "Levels : 0.000300189 [ 0.16 %]\n", - "Report : 1.251e-06 [ 0.00 %]\n", - "Balance : 4.58e-07 [ 0.00 %]\n", - "Adjust : 0.0903299 [ 47.19 %]\n", - "Total : 0.191399 [100.00 %]\n", + "Drift : 0.000323889 [ 0.01 %]\n", + "Velocity : 0.00129706 [ 0.04 %]\n", + "Force : 0.451598 [ 15.66 %]\n", + "Coefs : 1.84572 [ 64.01 %]\n", + "Output : 0.00078785 [ 0.03 %]\n", + "Levels : 0.000226353 [ 0.01 %]\n", + "Report : 8.23e-07 [ 0.00 %]\n", + "Balance : 1.63e-07 [ 0.00 %]\n", + "Adjust : 0.583573 [ 20.24 %]\n", + "Total : 2.88355 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5748 668 380 159 187 \n", - "1 : 5804 643 373 150 172 \n", - "2 : 5710 653 399 174 206 \n", - "3 : 5781 610 395 168 188 \n", - "4 : 5752 643 385 162 200 \n", - "5 : 5818 598 403 151 172 \n", - "6 : 5789 630 371 158 194 \n", - "7 : 5778 633 353 187 191 \n", - "8 : 5802 586 374 192 188 \n", - "9 : 5761 652 384 162 183 \n", - "10 : 5751 658 407 172 154 \n", - "11 : 5716 655 403 180 188 \n", - "12 : 5757 650 403 148 184 \n", - "13 : 5767 657 363 173 194 \n", + "0 : 5743 735 402 132 130 \n", + "1 : 5769 710 372 147 144 \n", + "2 : 5720 739 370 157 156 \n", + "3 : 5762 720 367 138 155 \n", + "4 : 5724 766 354 136 162 \n", + "5 : 5803 700 379 134 126 \n", + "6 : 5788 734 349 135 136 \n", + "7 : 5729 793 355 135 130 \n", + "8 : 5778 718 377 137 132 \n", + "9 : 5798 704 340 141 159 \n", + "10 : 5784 707 370 133 148 \n", + "11 : 5725 767 356 142 152 \n", + "12 : 5804 707 372 128 131 \n", + "13 : 5792 761 332 126 143 \n", "\n", - "T : 80734 8936 5393 2336 2601 [100000]\n", + "T : 80719 10261 5095 1921 2004 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.3%\n", - "--- Adj/Tot = 3.0%\n", - "--- Update = 1.0802e-02 sec\n", - "--- Collate = 6.2747e-05 sec\n", + "--- Coef/DT = 1.5%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 4.2598e-02 sec\n", + "--- Collate = 2.0243e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.042619e-06 < 6.250000e-03 [1526]\n", - "--- Max DT=3.285958e+00 > 1.000000e-01 [67815]\n", + "--- Min DT=5.538860e-06 < 6.250000e-03 [1204]\n", + "--- Max DT=3.630181e+00 > 1.000000e-01 [67125]\n", "----------------------------------------------------------------------\n", - " Component | low: 1526/100000\n", - " Component | high: 67815/100000\n", + " Component | low: 1204/100000\n", + " Component | high: 67125/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=99.2] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00124387 [ 0.73 %]\n", - "Velocity : 0.00339775 [ 1.99 %]\n", - "Force : 0.0624014 [ 36.48 %]\n", - "Coefs : 0.0331843 [ 19.40 %]\n", - "Output : 0.000913083 [ 0.53 %]\n", - "Levels : 0.000270905 [ 0.16 %]\n", - "Report : 1.283e-06 [ 0.00 %]\n", - "Balance : 5.37e-07 [ 0.00 %]\n", - "Adjust : 0.0695981 [ 40.69 %]\n", - "Total : 0.171055 [100.00 %]\n", + "Drift : 0.00026933 [ 0.01 %]\n", + "Velocity : 0.00155352 [ 0.05 %]\n", + "Force : 0.497834 [ 16.92 %]\n", + "Coefs : 1.82672 [ 62.09 %]\n", + "Output : 0.000829847 [ 0.03 %]\n", + "Levels : 0.00018637 [ 0.01 %]\n", + "Report : 3.29e-07 [ 0.00 %]\n", + "Balance : 1.75e-07 [ 0.00 %]\n", + "Adjust : 0.614546 [ 20.89 %]\n", + "Total : 2.94197 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5744 682 367 165 184 \n", - "1 : 5803 649 371 149 170 \n", - "2 : 5710 658 394 177 203 \n", - "3 : 5781 614 389 174 184 \n", - "4 : 5750 646 384 157 205 \n", - "5 : 5817 602 393 161 169 \n", - "6 : 5791 617 383 172 179 \n", - "7 : 5778 634 361 170 199 \n", - "8 : 5798 581 376 191 196 \n", - "9 : 5758 656 383 168 177 \n", - "10 : 5749 659 411 174 149 \n", - "11 : 5718 649 410 191 174 \n", - "12 : 5756 651 406 144 185 \n", - "13 : 5771 649 370 168 196 \n", + "0 : 5739 741 397 131 134 \n", + "1 : 5774 708 373 142 145 \n", + "2 : 5724 732 377 152 157 \n", + "3 : 5775 711 371 120 165 \n", + "4 : 5721 761 368 134 158 \n", + "5 : 5803 700 374 136 129 \n", + "6 : 5788 733 348 135 138 \n", + "7 : 5727 789 361 136 129 \n", + "8 : 5771 732 368 147 124 \n", + "9 : 5798 701 346 142 155 \n", + "10 : 5789 706 365 128 154 \n", + "11 : 5727 762 359 138 156 \n", + "12 : 5807 704 378 125 128 \n", + "13 : 5792 753 341 119 149 \n", "\n", - "T : 80724 8947 5398 2361 2570 [100000]\n", + "T : 80735 10233 5126 1885 2021 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.1%\n", - "--- Adj/Tot = 2.9%\n", - "--- Update = 1.0628e-02 sec\n", - "--- Collate = 5.5036e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 4.3765e-02 sec\n", + "--- Collate = 6.0123e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.373903e-06 < 6.250000e-03 [1499]\n", - "--- Max DT=3.293023e+00 > 1.000000e-01 [67796]\n", + "--- Min DT=3.276735e-06 < 6.250000e-03 [1209]\n", + "--- Max DT=3.637382e+00 > 1.000000e-01 [67094]\n", "----------------------------------------------------------------------\n", - " Component | low: 1499/100000\n", - " Component | high: 67796/100000\n", + " Component | low: 1209/100000\n", + " Component | high: 67094/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=99.3] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000655761 [ 0.42 %]\n", - "Velocity : 0.00227124 [ 1.44 %]\n", - "Force : 0.0597217 [ 37.83 %]\n", - "Coefs : 0.0253607 [ 16.06 %]\n", - "Output : 0.000866835 [ 0.55 %]\n", - "Levels : 0.000289571 [ 0.18 %]\n", - "Report : 1.145e-06 [ 0.00 %]\n", - "Balance : 4.83e-07 [ 0.00 %]\n", - "Adjust : 0.0686537 [ 43.49 %]\n", - "Total : 0.157864 [100.00 %]\n", - "----------------------------------------------------------------------\n", - "\n", - "----------------------------------------------------------------------\n", - "--- Level info--------------------------------------------------------\n", - "----------------------------------------------------------------------\n", - "0 : 5746 677 375 158 186 \n", - "1 : 5805 651 364 150 172 \n", - "2 : 5707 661 392 192 190 \n", - "3 : 5782 615 393 173 179 \n", - "4 : 5748 649 388 164 193 \n", - "5 : 5816 596 399 162 169 \n", - "6 : 5786 619 385 168 184 \n", - "7 : 5779 632 365 166 200 \n", - "8 : 5799 586 381 177 199 \n", - "9 : 5768 644 382 169 179 \n", - "10 : 5745 659 408 178 152 \n", - "11 : 5712 646 418 193 173 \n", - "12 : 5751 649 407 149 186 \n", - "13 : 5768 652 372 168 194 \n", - "\n", - "T : 80712 8936 5429 2367 2556 [100000]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.000347011 [ 0.01 %]\n", + "Velocity : 0.00539753 [ 0.17 %]\n", + "Force : 0.498584 [ 15.43 %]\n", + "Coefs : 2.115 [ 65.47 %]\n", + "Output : 0.000701152 [ 0.02 %]\n", + "Levels : 0.000780439 [ 0.02 %]\n", + "Report : 5.05e-07 [ 0.00 %]\n", + "Balance : 3.62e-07 [ 0.00 %]\n", + "Adjust : 0.609731 [ 18.87 %]\n", + "Total : 3.23057 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5738 737 396 137 134 \n", + "1 : 5783 696 380 141 142 \n", + "2 : 5718 740 378 147 159 \n", + "3 : 5768 717 371 125 161 \n", + "4 : 5723 762 365 136 156 \n", + "5 : 5802 702 369 140 129 \n", + "6 : 5795 724 342 146 135 \n", + "7 : 5730 792 356 135 129 \n", + "8 : 5765 738 373 144 122 \n", + "9 : 5800 696 344 149 153 \n", + "10 : 5794 699 370 129 150 \n", + "11 : 5724 772 360 123 163 \n", + "12 : 5813 693 393 114 129 \n", + "13 : 5798 746 342 119 149 \n", + "\n", + "T : 80751 10214 5139 1885 2011 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.6%\n", - "--- Adj/Tot = 2.8%\n", - "--- Update = 1.1136e-02 sec\n", - "--- Collate = 7.4801e-05 sec\n", + "--- Coef/DT = 52.3%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 5.6569e-02 sec\n", + "--- Collate = 7.9886e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.908120e-06 < 6.250000e-03 [1490]\n", - "--- Max DT=3.300089e+00 > 1.000000e-01 [67800]\n", + "--- Min DT=3.154209e-07 < 6.250000e-03 [1222]\n", + "--- Max DT=3.644585e+00 > 1.000000e-01 [67065]\n", "----------------------------------------------------------------------\n", - " Component | low: 1490/100000\n", - " Component | high: 67800/100000\n", + " Component | low: 1222/100000\n", + " Component | high: 67065/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=99.4] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00062601 [ 0.39 %]\n", - "Velocity : 0.00206381 [ 1.29 %]\n", - "Force : 0.0603828 [ 37.74 %]\n", - "Coefs : 0.0251932 [ 15.75 %]\n", - "Output : 0.000851003 [ 0.53 %]\n", - "Levels : 0.000196723 [ 0.12 %]\n", - "Report : 1.336e-06 [ 0.00 %]\n", - "Balance : 4.57e-07 [ 0.00 %]\n", - "Adjust : 0.0706339 [ 44.15 %]\n", - "Total : 0.159997 [100.00 %]\n", + "Drift : 0.000356833 [ 0.01 %]\n", + "Velocity : 0.00169242 [ 0.06 %]\n", + "Force : 0.495049 [ 17.93 %]\n", + "Coefs : 1.71738 [ 62.19 %]\n", + "Output : 0.00076083 [ 0.03 %]\n", + "Levels : 0.000239683 [ 0.01 %]\n", + "Report : 1.006e-06 [ 0.00 %]\n", + "Balance : 7.64e-07 [ 0.00 %]\n", + "Adjust : 0.545902 [ 19.77 %]\n", + "Total : 2.76141 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5746 670 381 161 184 \n", - "1 : 5811 651 348 153 179 \n", - "2 : 5702 667 386 193 194 \n", - "3 : 5783 613 399 166 181 \n", - "4 : 5744 656 388 159 195 \n", - "5 : 5819 587 401 169 166 \n", - "6 : 5785 624 384 159 190 \n", - "7 : 5782 631 375 152 202 \n", - "8 : 5802 579 378 182 201 \n", - "9 : 5763 651 379 167 182 \n", - "10 : 5744 657 413 169 159 \n", - "11 : 5712 646 423 185 176 \n", - "12 : 5755 639 410 152 186 \n", - "13 : 5767 649 378 161 199 \n", + "0 : 5733 739 396 141 133 \n", + "1 : 5782 704 376 136 144 \n", + "2 : 5715 743 387 135 162 \n", + "3 : 5774 714 369 124 161 \n", + "4 : 5723 756 375 130 158 \n", + "5 : 5805 697 384 123 133 \n", + "6 : 5794 729 341 145 133 \n", + "7 : 5727 793 367 123 132 \n", + "8 : 5758 747 381 135 121 \n", + "9 : 5808 689 347 150 148 \n", + "10 : 5792 706 367 126 151 \n", + "11 : 5727 764 371 107 173 \n", + "12 : 5810 701 380 121 130 \n", + "13 : 5796 743 350 118 147 \n", "\n", - "T : 80715 8920 5443 2328 2594 [100000]\n", + "T : 80744 10225 5191 1814 2026 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.4%\n", - "--- Adj/Tot = 3.0%\n", - "--- Update = 1.0233e-02 sec\n", - "--- Collate = 7.4294e-05 sec\n", + "--- Coef/DT = 1.2%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 4.2481e-02 sec\n", + "--- Collate = 1.3017e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.053425e-05 < 6.250000e-03 [1518]\n", - "--- Max DT=3.307158e+00 > 1.000000e-01 [67775]\n", + "--- Min DT=3.883049e-06 < 6.250000e-03 [1203]\n", + "--- Max DT=3.651789e+00 > 1.000000e-01 [67037]\n", "----------------------------------------------------------------------\n", - " Component | low: 1518/100000\n", - " Component | high: 67775/100000\n", + " Component | low: 1203/100000\n", + " Component | high: 67037/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=99.5] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000787341 [ 0.51 %]\n", - "Velocity : 0.00331331 [ 2.14 %]\n", - "Force : 0.0599451 [ 38.75 %]\n", - "Coefs : 0.0244618 [ 15.81 %]\n", - "Output : 0.00106803 [ 0.69 %]\n", - "Levels : 0.000249313 [ 0.16 %]\n", - "Report : 1.094e-06 [ 0.00 %]\n", - "Balance : 4.68e-07 [ 0.00 %]\n", - "Adjust : 0.0648145 [ 41.90 %]\n", - "Total : 0.154696 [100.00 %]\n", + "Drift : 0.000689278 [ 0.02 %]\n", + "Velocity : 0.0023109 [ 0.07 %]\n", + "Force : 0.52545 [ 16.01 %]\n", + "Coefs : 2.07296 [ 63.17 %]\n", + "Output : 0.00112925 [ 0.03 %]\n", + "Levels : 0.000265142 [ 0.01 %]\n", + "Report : 1.005e-06 [ 0.00 %]\n", + "Balance : 5.33e-07 [ 0.00 %]\n", + "Adjust : 0.678761 [ 20.68 %]\n", + "Total : 3.28162 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5748 665 385 159 185 \n", - "1 : 5809 653 352 154 174 \n", - "2 : 5706 667 388 176 205 \n", - "3 : 5779 607 417 168 171 \n", - "4 : 5745 664 361 182 190 \n", - "5 : 5818 589 401 165 169 \n", - "6 : 5779 633 381 160 189 \n", - "7 : 5778 633 375 152 204 \n", - "8 : 5808 571 378 183 202 \n", - "9 : 5760 653 379 165 185 \n", - "10 : 5744 661 408 169 160 \n", - "11 : 5711 649 419 182 181 \n", - "12 : 5755 652 393 156 186 \n", - "13 : 5775 645 380 157 197 \n", + "0 : 5730 749 380 156 127 \n", + "1 : 5780 709 381 119 153 \n", + "2 : 5719 736 398 133 156 \n", + "3 : 5773 712 371 128 158 \n", + "4 : 5730 748 373 133 158 \n", + "5 : 5807 692 389 120 134 \n", + "6 : 5792 726 350 136 138 \n", + "7 : 5731 791 368 116 136 \n", + "8 : 5759 750 380 135 118 \n", + "9 : 5806 692 349 136 159 \n", + "10 : 5793 703 366 130 150 \n", + "11 : 5729 764 371 102 176 \n", + "12 : 5807 704 383 114 134 \n", + "13 : 5798 735 355 113 153 \n", "\n", - "T : 80715 8942 5417 2328 2598 [100000]\n", + "T : 80754 10211 5214 1771 2050 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.8%\n", - "--- Adj/Tot = 3.0%\n", - "--- Update = 1.0132e-02 sec\n", - "--- Collate = 7.1742e-05 sec\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 1.9%\n", + "--- Update = 4.2573e-02 sec\n", + "--- Collate = 7.0145e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.016481e-07 < 6.250000e-03 [1520]\n", - "--- Max DT=3.314228e+00 > 1.000000e-01 [67784]\n", + "--- Min DT=1.080543e-06 < 6.250000e-03 [1197]\n", + "--- Max DT=3.658995e+00 > 1.000000e-01 [67037]\n", "----------------------------------------------------------------------\n", - " Component | low: 1520/100000\n", - " Component | high: 67784/100000\n", + " Component | low: 1197/100000\n", + " Component | high: 67037/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=99.6] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000715719 [ 0.47 %]\n", - "Velocity : 0.00249641 [ 1.65 %]\n", - "Force : 0.0583718 [ 38.58 %]\n", - "Coefs : 0.0242089 [ 16.00 %]\n", - "Output : 0.00124599 [ 0.82 %]\n", - "Levels : 0.000249384 [ 0.16 %]\n", - "Report : 1.181e-06 [ 0.00 %]\n", - "Balance : 4.52e-07 [ 0.00 %]\n", - "Adjust : 0.0639499 [ 42.27 %]\n", - "Total : 0.151286 [100.00 %]\n", + "Drift : 0.000670386 [ 0.02 %]\n", + "Velocity : 0.00311067 [ 0.11 %]\n", + "Force : 0.520085 [ 17.88 %]\n", + "Coefs : 1.76112 [ 60.56 %]\n", + "Output : 0.00147092 [ 0.05 %]\n", + "Levels : 0.000276363 [ 0.01 %]\n", + "Report : 1.004e-06 [ 0.00 %]\n", + "Balance : 3.49e-07 [ 0.00 %]\n", + "Adjust : 0.621416 [ 21.37 %]\n", + "Total : 2.9082 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5750 659 393 154 186 \n", - "1 : 5817 646 352 160 167 \n", - "2 : 5706 673 376 174 213 \n", - "3 : 5783 603 412 163 181 \n", - "4 : 5748 658 366 185 185 \n", - "5 : 5815 598 398 161 170 \n", - "6 : 5777 635 380 167 183 \n", - "7 : 5781 626 373 160 202 \n", - "8 : 5809 575 375 174 209 \n", - "9 : 5762 649 385 163 183 \n", - "10 : 5743 653 410 176 160 \n", - "11 : 5713 643 423 186 177 \n", - "12 : 5750 658 389 159 186 \n", - "13 : 5778 641 379 152 204 \n", + "0 : 5727 763 369 154 129 \n", + "1 : 5783 703 382 120 154 \n", + "2 : 5717 742 391 144 148 \n", + "3 : 5764 722 368 133 155 \n", + "4 : 5732 743 385 130 152 \n", + "5 : 5810 692 379 136 125 \n", + "6 : 5799 714 352 130 147 \n", + "7 : 5722 798 361 127 134 \n", + "8 : 5758 754 378 125 127 \n", + "9 : 5810 689 346 138 159 \n", + "10 : 5793 699 375 128 147 \n", + "11 : 5732 766 366 112 166 \n", + "12 : 5808 705 378 119 132 \n", + "13 : 5801 732 352 117 152 \n", "\n", - "T : 80732 8917 5411 2334 2606 [100000]\n", + "T : 80756 10222 5182 1813 2027 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.2%\n", - "--- Adj/Tot = 2.9%\n", - "--- Update = 1.0231e-02 sec\n", - "--- Collate = 9.1151e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 4.7577e-02 sec\n", + "--- Collate = 1.9024e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.031751e-06 < 6.250000e-03 [1545]\n", - "--- Max DT=3.321301e+00 > 1.000000e-01 [67779]\n", + "--- Min DT=7.516446e-07 < 6.250000e-03 [1179]\n", + "--- Max DT=3.666203e+00 > 1.000000e-01 [66998]\n", "----------------------------------------------------------------------\n", - " Component | low: 1545/100000\n", - " Component | high: 67779/100000\n", + " Component | low: 1179/100000\n", + " Component | high: 66998/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=99.7] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.00054588 [ 0.36 %]\n", - "Velocity : 0.0025975 [ 1.70 %]\n", - "Force : 0.0595098 [ 38.84 %]\n", - "Coefs : 0.0241644 [ 15.77 %]\n", - "Output : 0.00100689 [ 0.66 %]\n", - "Levels : 0.000279579 [ 0.18 %]\n", - "Report : 1.255e-06 [ 0.00 %]\n", - "Balance : 4.43e-07 [ 0.00 %]\n", - "Adjust : 0.065052 [ 42.46 %]\n", - "Total : 0.153201 [100.00 %]\n", - "----------------------------------------------------------------------\n", + "Drift : 0.00130788 [ 0.04 %]\n", + "Velocity : 0.00249407 [ 0.08 %]\n", + "Force : 0.579113 [ 18.20 %]\n", + "Coefs : 1.93532 [ 60.82 %]\n", + "Output : 0.00140013 [ 0.04 %]\n", + "Levels : 0.00043326 [ 0.01 %]\n", + "Report : 1.905e-06 [ 0.00 %]\n", + "Balance : 8.14e-07 [ 0.00 %]\n", + "Adjust : 0.661708 [ 20.80 %]\n", + "Total : 3.18184 [100.00 %]\n", + "----------------------------------------------------------------------\n", + "\n", + "----------------------------------------------------------------------\n", + "--- Level info--------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "0 : 5727 765 366 156 128 \n", + "1 : 5770 720 373 128 151 \n", + "2 : 5715 743 388 149 147 \n", + "3 : 5758 724 367 136 157 \n", + "4 : 5724 749 383 136 150 \n", + "5 : 5809 692 371 143 127 \n", + "6 : 5799 714 348 142 139 \n", + "7 : 5727 787 365 131 132 \n", + "8 : 5758 749 373 135 127 \n", + "9 : 5813 684 345 145 155 \n", + "10 : 5794 702 369 137 140 \n", + "11 : 5731 767 369 120 155 \n", + "12 : 5802 711 368 128 133 \n", + "13 : 5802 726 354 117 155 \n", + "\n", + "T : 80729 10233 5139 1903 1996 [100000]\n", + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "----------------------------------------------------------------------\n", - "--- Level info--------------------------------------------------------\n", + "--- Timer info in comp, mlevel=2--------------------------------------\n", + "----------------------------------------------------------------------\n", + " COM: 2.490420e-04\n", + " Position: 2.224577e+01\n", + " --------------------------------------------------\n", + " *** fix pos : 1.123215e+01 \n", + " --------------------------------------------------\n", + " Ang mom: 3.309319e+00\n", + " Zero: 1.268994e-01\n", + " Accel: 3.572485e+00\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " Interaction: 3.778940e-04\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " External: 7.290220e-04\n", + " --------------------------------------------------\n", + " *** threaded : 0.000000e+00\n", + " --------------------------------------------------\n", + " Expand: 1.868051e+02\n", + " Force: 3.703063e+00\n", + " Elapsed: 3.000332e+02\n", "----------------------------------------------------------------------\n", - "0 : 5751 660 389 161 181 \n", - "1 : 5821 641 359 153 168 \n", - "2 : 5701 677 374 187 203 \n", - "3 : 5776 607 412 165 182 \n", - "4 : 5745 662 360 188 187 \n", - "5 : 5814 599 393 167 169 \n", - "6 : 5774 634 384 173 177 \n", - "7 : 5781 624 379 161 197 \n", - "8 : 5809 573 387 167 206 \n", - "9 : 5758 649 390 169 176 \n", - "10 : 5744 650 411 171 166 \n", - "11 : 5706 646 432 177 181 \n", - "12 : 5756 652 376 177 181 \n", - "13 : 5782 633 381 156 202 \n", "\n", - "T : 80718 8907 5427 2372 2576 [100000]\n", + "mstep/Mstep=12/16\n", + "0 |91 1 |92 2 |184 3 |366 4 |733 \n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.2%\n", - "--- Adj/Tot = 2.9%\n", - "--- Update = 1.0530e-02 sec\n", - "--- Collate = 7.3918e-05 sec\n", + "--- Coef/DT = 1.9%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 5.4936e-02 sec\n", + "--- Collate = 5.0325e-03 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=2.578069e-07 < 6.250000e-03 [1566]\n", - "--- Max DT=3.328374e+00 > 1.000000e-01 [67782]\n", + "--- Min DT=3.260762e-06 < 6.250000e-03 [1174]\n", + "--- Max DT=3.673413e+00 > 1.000000e-01 [66987]\n", "----------------------------------------------------------------------\n", - " Component | low: 1566/100000\n", - " Component | high: 67782/100000\n", + " Component | low: 1174/100000\n", + " Component | high: 66987/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=99.8] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000560345 [ 0.36 %]\n", - "Velocity : 0.00299732 [ 1.90 %]\n", - "Force : 0.0589216 [ 37.37 %]\n", - "Coefs : 0.0249852 [ 15.85 %]\n", - "Output : 0.000857792 [ 0.54 %]\n", - "Levels : 0.000252552 [ 0.16 %]\n", - "Report : 1.222e-06 [ 0.00 %]\n", - "Balance : 5.46e-07 [ 0.00 %]\n", - "Adjust : 0.069031 [ 43.79 %]\n", - "Total : 0.157651 [100.00 %]\n", + "Drift : 0.000696615 [ 0.02 %]\n", + "Velocity : 0.00310753 [ 0.09 %]\n", + "Force : 0.517505 [ 14.61 %]\n", + "Coefs : 2.33207 [ 65.86 %]\n", + "Output : 0.00146646 [ 0.04 %]\n", + "Levels : 0.000208209 [ 0.01 %]\n", + "Report : 9.46e-07 [ 0.00 %]\n", + "Balance : 2.8e-07 [ 0.00 %]\n", + "Adjust : 0.685845 [ 19.37 %]\n", + "Total : 3.54095 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5753 661 382 169 177 \n", - "1 : 5822 635 362 153 170 \n", - "2 : 5700 678 375 183 206 \n", - "3 : 5775 603 420 163 181 \n", - "4 : 5747 656 379 181 179 \n", - "5 : 5814 598 395 166 169 \n", - "6 : 5768 643 380 171 180 \n", - "7 : 5779 629 374 166 194 \n", - "8 : 5809 577 381 171 204 \n", - "9 : 5754 652 393 160 183 \n", - "10 : 5740 658 402 164 178 \n", - "11 : 5709 653 420 181 179 \n", - "12 : 5755 648 390 167 182 \n", - "13 : 5782 638 374 175 185 \n", + "0 : 5731 759 379 144 129 \n", + "1 : 5771 727 363 133 148 \n", + "2 : 5710 756 377 144 155 \n", + "3 : 5761 728 356 142 155 \n", + "4 : 5723 740 390 140 149 \n", + "5 : 5811 694 371 144 122 \n", + "6 : 5801 710 350 144 137 \n", + "7 : 5724 796 355 130 137 \n", + "8 : 5758 752 365 141 126 \n", + "9 : 5812 685 344 149 152 \n", + "10 : 5796 694 370 133 149 \n", + "11 : 5739 760 359 131 153 \n", + "12 : 5794 718 356 140 134 \n", + "13 : 5801 724 361 121 147 \n", "\n", - "T : 80707 8929 5427 2370 2567 [100000]\n", + "T : 80732 10243 5096 1936 1993 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.2%\n", - "--- Adj/Tot = 2.9%\n", - "--- Update = 1.0825e-02 sec\n", - "--- Collate = 7.3085e-05 sec\n", + "--- Coef/DT = 1.8%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 7.8248e-02 sec\n", + "--- Collate = 1.6310e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=1.100654e-06 < 6.250000e-03 [1560]\n", - "--- Max DT=3.335450e+00 > 1.000000e-01 [67799]\n", + "--- Min DT=7.949623e-07 < 6.250000e-03 [1190]\n", + "--- Max DT=3.680624e+00 > 1.000000e-01 [66978]\n", "----------------------------------------------------------------------\n", - " Component | low: 1560/100000\n", - " Component | high: 67799/100000\n", + " Component | low: 1190/100000\n", + " Component | high: 66978/100000\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=99.9] ----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000643098 [ 0.40 %]\n", - "Velocity : 0.00307131 [ 1.91 %]\n", - "Force : 0.0609884 [ 37.98 %]\n", - "Coefs : 0.0246421 [ 15.34 %]\n", - "Output : 0.000825774 [ 0.51 %]\n", - "Levels : 0.000219449 [ 0.14 %]\n", - "Report : 1.677e-06 [ 0.00 %]\n", - "Balance : 5.45e-07 [ 0.00 %]\n", - "Adjust : 0.0701538 [ 43.68 %]\n", - "Total : 0.160598 [100.00 %]\n", + "Drift : 0.000533719 [ 0.01 %]\n", + "Velocity : 0.00236189 [ 0.07 %]\n", + "Force : 0.623886 [ 17.21 %]\n", + "Coefs : 2.22307 [ 61.31 %]\n", + "Output : 0.00109316 [ 0.03 %]\n", + "Levels : 0.000246818 [ 0.01 %]\n", + "Report : 5.42e-07 [ 0.00 %]\n", + "Balance : 2.09e-07 [ 0.00 %]\n", + "Adjust : 0.774651 [ 21.36 %]\n", + "Total : 3.62589 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", "----------------------------------------------------------------------\n", - "0 : 5746 676 371 172 177 \n", - "1 : 5822 636 366 157 161 \n", - "2 : 5705 682 370 177 208 \n", - "3 : 5773 604 420 155 190 \n", - "4 : 5745 652 392 169 184 \n", - "5 : 5816 597 389 162 178 \n", - "6 : 5767 642 388 162 183 \n", - "7 : 5776 633 376 158 199 \n", - "8 : 5806 578 384 160 214 \n", - "9 : 5756 646 390 167 183 \n", - "10 : 5734 662 404 169 173 \n", - "11 : 5706 654 422 177 183 \n", - "12 : 5759 647 392 161 183 \n", - "13 : 5784 638 365 176 191 \n", + "0 : 5728 761 388 130 135 \n", + "1 : 5766 727 371 131 147 \n", + "2 : 5704 760 376 147 155 \n", + "3 : 5762 729 355 135 161 \n", + "4 : 5724 741 389 137 151 \n", + "5 : 5811 696 367 142 126 \n", + "6 : 5797 716 344 143 142 \n", + "7 : 5727 794 353 138 130 \n", + "8 : 5756 760 354 140 132 \n", + "9 : 5817 680 346 148 151 \n", + "10 : 5802 691 370 131 148 \n", + "11 : 5740 762 345 147 148 \n", + "12 : 5798 720 355 141 128 \n", + "13 : 5804 725 346 134 145 \n", "\n", - "T : 80695 8947 5429 2322 2607 [100000]\n", + "T : 80736 10262 5059 1944 1999 [100000]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Coefficient adjust stats\n", - "--- Coef/DT = 5.3%\n", - "--- Adj/Tot = 3.0%\n", - "--- Update = 1.0699e-02 sec\n", - "--- Collate = 6.2733e-05 sec\n", + "--- Coef/DT = 1.6%\n", + "--- Adj/Tot = 1.8%\n", + "--- Update = 6.2461e-02 sec\n", + "--- Collate = 1.8063e-02 sec\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Multistepping overrun\n", - "--- Min DT=3.319426e-06 < 6.250000e-03 [1521]\n", - "--- Max DT=3.342528e+00 > 1.000000e-01 [67761]\n", + "--- Min DT=4.052169e-07 < 6.250000e-03 [1206]\n", + "--- Max DT=3.687837e+00 > 1.000000e-01 [66975]\n", "----------------------------------------------------------------------\n", - " Component | low: 1521/100000\n", - " Component | high: 67761/100000\n", + " Component | low: 1206/100000\n", + " Component | high: 66975/100000\n", "----------------------------------------------------------------------\n", "OutCHKPT::Run(): error unlinking old backup file , it may not exist\n", "\n", "----------------------------------------------------------------------\n", "--- Timer info [T=100] -----------------------------------------------\n", "----------------------------------------------------------------------\n", - "Drift : 0.000710169 [ 0.19 %]\n", - "Velocity : 0.00203919 [ 0.53 %]\n", - "Force : 0.0599475 [ 15.68 %]\n", - "Coefs : 0.025427 [ 6.65 %]\n", - "Output : 0.225458 [ 58.98 %]\n", - "Levels : 0.000205342 [ 0.05 %]\n", - "Report : 1.326e-06 [ 0.00 %]\n", - "Balance : 6.23e-07 [ 0.00 %]\n", - "Adjust : 0.0684049 [ 17.90 %]\n", - "Total : 0.382237 [100.00 %]\n", + "Drift : 0.0046867 [ 0.13 %]\n", + "Velocity : 0.00253097 [ 0.07 %]\n", + "Force : 0.50009 [ 14.23 %]\n", + "Coefs : 1.83761 [ 52.31 %]\n", + "Output : 0.480232 [ 13.67 %]\n", + "Levels : 0.00023726 [ 0.01 %]\n", + "Report : 1.014e-06 [ 0.00 %]\n", + "Balance : 4.17e-07 [ 0.00 %]\n", + "Adjust : 0.687818 [ 19.58 %]\n", + "Total : 3.51326 [100.00 %]\n", "----------------------------------------------------------------------\n", "\n", "----------------------------------------------------------------------\n", "--- Level info--------------------------------------------------------\n", - "----------------------------------------------------------------------\n", - "0 : 5751 666 375 164 186 \n", - "1 : 5823 633 364 163 159 \n", - "2 : 5703 680 384 165 210 \n", - "3 : 5775 608 404 163 192 \n", - "4 : 5743 656 382 178 183 \n", - "5 : 5816 601 385 169 171 \n", - "6 : 5763 651 388 162 178 \n", - "7 : 5776 633 371 168 194 \n", - "8 : 5810 577 384 164 207 \n", - "9 : 5757 647 398 155 185 \n", - "10 : 5735 658 414 151 184 \n", - "11 : 5706 655 421 172 188 \n", - "12 : 5753 656 391 156 186 \n", - "13 : 5788 632 365 180 189 \n", - "\n", - "T : 80699 8953 5426 2310 2612 [100000]\n", - "----------------------------------------------------------------------\n", - "----------------------------------------------------------------------\n", - "Process 0 on raven pid=230471 ROOT NODE\t Exiting EXP\n", - "Process 1 on raven pid=230472 rank in WORKER: 1\t Exiting EXP\n", - "Process 2 on raven pid=230473 rank in WORKER: 2\t Exiting EXP\n", - "Process 3 on raven pid=230474 rank in WORKER: 3\t Exiting EXP\n", - "Process 4 on raven pid=230475 rank in WORKER: 4\t Exiting EXP\n", - "Process 5 on raven pid=230476 rank in WORKER: 5\t Exiting EXP\n", - "Process 6 on raven pid=230477 rank in WORKER: 6\t Exiting EXP\n", - "Process 7 on raven pid=230478 rank in WORKER: 7\t Exiting EXP\n", - "Process 8 on raven pid=230479 rank in WORKER: 8\t Exiting EXP\n", - "Process 9 on raven pid=230481 rank in WORKER: 9\t Exiting EXP\n", - "Process 10 on raven pid=230483 rank in WORKER: 10\t Exiting EXP\n", - "Process 11 on raven pid=230485 rank in WORKER: 11\t Exiting EXP\n", - "Process 12 on raven pid=230488 rank in WORKER: 12\t Exiting EXP\n", - "Process 13 on raven pid=230490 rank in WORKER: 13\t Exiting EXP\n", - "----------------------------------------------------------------------\n", - "\n", - "CPU times: user 11.7 s, sys: 2.05 s, total: 13.8 s\n", - "Wall time: 4min 56s\n" + "----------------------------------------------------------------------\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 : 5725 759 394 125 139 \n", + "1 : 5769 729 374 121 149 \n", + "2 : 5706 755 380 148 153 \n", + "3 : 5761 733 353 138 157 \n", + "4 : 5736 732 388 133 153 \n", + "5 : 5813 700 355 156 118 \n", + "6 : 5794 719 353 133 143 \n", + "7 : 5726 798 356 129 133 \n", + "8 : 5762 745 366 136 133 \n", + "9 : 5812 688 341 143 158 \n", + "10 : 5802 685 369 137 149 \n", + "11 : 5740 759 349 151 143 \n", + "12 : 5798 725 343 143 133 \n", + "13 : 5800 719 349 132 154 \n", + "\n", + "T : 80744 10246 5070 1925 2015 [100000]\n", + "----------------------------------------------------------------------\n", + "----------------------------------------------------------------------\n", + "Process 0 on raven pid=1163826 ROOT NODE\t Exiting EXP\n", + "Process 1 on raven pid=1163827 rank in WORKER: 1\t Exiting EXP\n", + "Process 2 on raven pid=1163828 rank in WORKER: 2\t Exiting EXP\n", + "Process 3 on raven pid=1163829 rank in WORKER: 3\t Exiting EXP\n", + "Process 4 on raven pid=1163830 rank in WORKER: 4\t Exiting EXP\n", + "Process 5 on raven pid=1163831 rank in WORKER: 5\t Exiting EXP\n", + "Process 6 on raven pid=1163832 rank in WORKER: 6\t Exiting EXP\n", + "Process 7 on raven pid=1163833 rank in WORKER: 7\t Exiting EXP\n", + "Process 8 on raven pid=1163836 rank in WORKER: 8\t Exiting EXP\n", + "Process 9 on raven pid=1163840 rank in WORKER: 9\t Exiting EXP\n", + "Process 10 on raven pid=1163842 rank in WORKER: 10\t Exiting EXP\n", + "Process 11 on raven pid=1163843 rank in WORKER: 11\t Exiting EXP\n", + "Process 12 on raven pid=1163847 rank in WORKER: 12\t Exiting EXP\n", + "Process 13 on raven pid=1163850 rank in WORKER: 13\t Exiting EXP\n", + "----------------------------------------------------------------------\n", + "\n", + "CPU times: user 1min 45s, sys: 13.5 s, total: 1min 58s\n", + "Wall time: 1h 42min 17s\n" ] } ], @@ -53374,32 +84066,10 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "id": "62194652", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "---- EmpCyl2d::ModelCyl: Making a double-tapered Zang with Mouter: 5.0\n", - "Ninner: 4.0\n", - "Ri: 1.0\n", - "Ro: 11.5\n", - "vrot: 1.0\n", - "---- EmpCyl2d::Basis2d: Making a finite Bessel basis\n", - "---- EmpCyl2d::ReadH5Cache: read 2d basis cache <.eof_cache_2d>\n", - "FlatDisk::orthoTest: worst=3.48048e-08\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "---- BiorthCyl::ReadH5Cache: read <./eof_cache_2d.50>\n" - ] - } - ], + "outputs": [], "source": [ "# Get the basis config\n", "#\n", @@ -53438,7 +84108,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "id": "3feaac21", "metadata": { "scrolled": true @@ -53460,31 +84130,10 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "5dcc61ea", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "pow = coefs.Power()\n", "plt.rcParams.update({'font.size': 18})\n", @@ -53511,7 +84160,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "id": "75d62f76", "metadata": {}, "outputs": [], @@ -53535,18 +84184,10 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "id": "85b59f99", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Created fields instance\n" - ] - } - ], + "outputs": [], "source": [ "times = coefs.Times()\n", "rmax = 20\n", @@ -53572,18 +84213,10 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "id": "eb51b9ea", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "-0.034401152 0.034401152\n" - ] - } - ], + "outputs": [], "source": [ "dmin = 1e20\n", "dmax = -1e20\n", @@ -53595,7 +84228,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "id": "33b89bb5", "metadata": {}, "outputs": [], @@ -53615,31 +84248,10 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "id": "2c678b37", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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eu8Kx6623XiZMmJDttttuhWNXtiBOkpdffjkHHHDAYiXwsmy66aa58cYbV3j76nctXLgwRx99dCZMmLDCsf369cull16a/fffv01zJ8l///d/54wzzkhLS8tyx1VUVOS73/1uTj/99DbPDQAAwLJNmDAhf/7znzN58uS8+eab6dOnTzbaaKN89KMfzUknndSmDxUXuWZ79Gj19fX55z//mQcffDAPPfRQHnzwwTz99NOtd7H64x//mBNOOGGV3utzzz2Xiy66KBMnTswrr7ySmTNnZsCAARk6dGh22GGH7LnnnjniiCPSq1evVZq/oymIV+C8887Lt771rTQ0NKxw7O67756LLrooo0aNWu64888/P1/96lezYMGCpb5eWVmZM844I2ecccYqZQYAgKKt7QVx8s6tkc8555z8/Oc/zxtvvLHE6717986xxx6bH/zgBxkwYECb5lyVgjhJFixYkO985zv5wx/+kFmzZi3xev/+/fPZz3423/3ud9OzZ882zfle559/fs4555y8+OKLS7zWvXv3HHLIITnvvPNW+LPO0tx555057bTTct999y319Z133jnf//73s8cee6z03AAAACyurq4uxx9//HI/CDxy5MhcccUV2WmnnTrlmu3Vow0cODAzZ85c5uurUhA3NjbmW9/6Vn7yk58s9XFU7/XII4902g2hCuIV+MIXvpDf/OY3SdL6yYTtttsuQ4YMSUNDQ+67775cdNFFqaurS5KMHTs29913X4YMGbLU+S666KJ88pOfTPLOp+SPPfbY7LXXXqmqqsqkSZNy4YUXZuHChUmS73//+znttNPWwLsEAACWpbm5OZMmTcrzzz+ft956K/3798/IkSOz5557pnfv3ms0S2NjY+644468/PLLefvttzNo0KCMGTMm48aNa33m7+p44IEH8vTTT+eNN95I7969M2LEiOyxxx5tLsCX54UXXsjkyZPz+uuvJ3nn56sddtghG2644WrPDQAAwDs/vx588MGZOHFikmTo0KE58cQTs/nmm2fmzJm59NJLM2nSpCTvfNB40qRJ2WyzzTrVmu3Zo/Xr1y9z5sxpPR81alQaGxvz5ptvJln5grihoSFHHnlkbrjhhiTJgAEDcsQRR2SHHXbIgAEDUl9fnxdffDG33XZbJk2alAcffFBBvLY6+eST8+KLL+bUU0/NXnvtlYqKiiXGvPLKK9lvv/3yzDPPJEk+85nP5A9/+MMS46ZPn56NNtooc+fOTUVFRa6++uoceuihi4257777stdee6W+vj5VVVV54oknsskmm3TMmwMAAAAAAGCd8Jvf/CZf+MIXkiSbb755br311gwdOnSxMaeeemrOPffcJO/cGffOO+/sNGu2d4/26U9/Optsskm22267bLfddhk0aNBidzxb2YL4pJNOyvnnn58k+fjHP55f/vKX6du371LHzpw5M9XV1Wv8g+VtpSBegXfvGb4i//znP1s/BdCrV69Mnz59ifuKn3baafnBD36QJPnyl7+cn/70p0ud67zzzsvXvva1JMlxxx2XSy65ZDXeAQAAAAAAAOuy5ubmjBw5svURSQ899FC23XbbpY7bfvvt8+ijjyZJbrrppuy7776dYs010aOtakF82223Zfz48UmSAw88MNddd11KpVKb1+1sltwOy2Laeiu1rbfeuvUTCvX19Xn++eeXGHP55Ze3Hv/7v//7Muc68cQTWz9RMGHChGXeYx0AAAAAAADuvPPO1qJ23LhxSy1qk3ee3/uVr3yl9fzSSy/tNGt25h7tnHPOSZKUSqX89Kc/XavL4URB3K769OnTevz+v4xPPvlkXnnllSTJZpttlrFjxy5zntra2uy+++5Jkvnz5+eOO+7ogLQAAAAAAACsC2688cbW4wMPPHC5Yw844IClXlfkmp25R5syZUpuvvnmJMkuu+ySDTfcsEPXWxMUxO2ksbExzz77bOv56NGjF3v98ccfbz3eYYcdVjjfe8e891oAAAAAAAB4r5XpoYYNG5aRI0cmSd56661Mnz698DU7c49211135d0n9u64445J3rnl9FFHHZURI0akuro6Q4cOzfjx4/OTn/xkrbgzsIK4nVxyySWZM2dOkmTbbbfNsGHDFnv9mWeeaT1e3qceljbmvdcCAAAAAADAexXRQ7Xnmp25R3vwwQdbj0eOHJkvf/nLGT9+fP7617/m9ddfT2NjY6ZNm5bbbrstX/3qV7PJJpvkkUce6dBMq6uq6ADrgunTp+e0005rPf/2t7+9xJjZs2e3Hg8aNGiFcw4cOHCp1y7LwoULs3DhwtbzlpaWzJw5MwMHDlzr74MOAAAAAADtpVwuZ968eVlvvfVSUWEf3ZrS0NCQxsbGomOsVcrl8hIdT3V1daqrq5cY29E91NK055pF5G+rd5+znCS//vWv88wzz6SioiJHHXVU9tlnn/Tu3TtPP/10fv/73+e1117LlClTMn78+Dz00EPZYIMNOjTbqlIQr6bGxsYceeSRmTZtWpLk8MMPz0c/+tElxtXV1bUe9+jRY4Xz9uzZs/V43rx5Kxz/ve99L2effXZbIgMAAAAAQJc3ZcqUjBgxougYXUJDQ0NGjeqd6dNbio6yVqmpqVmsX0qSM888M2edddYSYzu6h1qa9lyziPxtNWvWrNbjZ555Jt27d8+1116bfffdd7Fxp556ag4++ODccccdmT17dr74xS9m4sSJHZptVSmIV0NLS0s++9nP5q677kqSbLjhhvnDH/5QSJZvfvOb+Y//+I/W8zlz5mTUqFFZ/7z/TEXPFf+LBAAAAACdQdPMOXnj7J8njYsyaL9D03e7nYqOBKxjWhY25KVz/29qa2uLjtJlNDY2Zvr0ltx+/5DU1LjraVvU1ZWz547TMmXKlPTp06f160vbPUzHamlZ/IMNp5122hLlcPJOoX/ZZZdlgw02yIIFC3LTTTflmWeeySabbLKmoraZgngVlcvlfOELX8jFF1+cJBk1alRuueWW9O/ff6nja2pqWo8bGhpWOP97H2Ddlv+TWtYtBSp69lAQAwAAALBWKJfLmXX5DUnjovQcNTb9d94jJbd/BTqIxzOueTU1pdTU+u9627xTSvbp02exgnhZampqWne6NjQ0LNZLLc3K9lAdvWZH92ir4/3zf+ELX1jm2GHDhuWwww7LZZddliS59dZbO2VB7N/CVVAul/PFL34xv/3tb5MkI0aMyK233poxY8Ys85p+/fq1Hr/99tsrXGPGjBlLvRYAAAAA1lX19/0zDY89k1RVZuhhRyuHAaCNiuih2nPNztyjvXdz6LBhw7Leeustd/z222/fevzCCy90WK7V4TuslVQul3PKKafk17/+dZJk/fXXz2233ZYNN9xwude999MBL7300grXee+YzvjJAgAAAABoT83z5mfmJdcmSQbusW+6Dx5acCIAWHsU0UO155qduUfbdNNNW4/79u27wvHvHTN37twOybS6FMQr4d1y+Fe/+lWSZL311sttt92WjTbaaIXXbrXVVq3HkydPXuH4947ZcsstVyEtAAAAAKw9Zl1yXVrmzU/3ocMzYLePFB0HANYqK9NDvfXWW5kyZUqSZMiQIRk8eHDha3bmHm3rrbduPZ4zZ84Kx793TFsK5SIoiNvo/eXw8OHDc9ttt2XjjTdu0/Wbb755Ro0alSR56qmn8vLLLy9zbF1dXe66664kSa9evTJu3LjVCw8AAAAAndiCx57J/HsfSUqld24tXVVVdCQAWKvsv//+rcc33njjcsfecMMNrccHHnhgp1izM/dou+++e+tziN98881MnTp1ueMffPDB1uPOepdgBXEbfelLX2oth4cNG5bbbrstH/jAB1ZqjmOOOab1+LzzzlvmuPPPPz/z589Pkhx66KHp1avXKiQGAAAAgM6vpWFhZlx4dZKk3057pOeI0QUnAoC1z7hx4zJs2LAkye23356HH354qeOam5vz05/+tPX82GOP7TRrdtYerUePHjnyyCNbz999DO3SvPnmm7nmmmuSJBUVFdl33307NNuqUhC3wZe//OX88pe/TPJOOXz77bevUuN/6qmntn7C4Be/+EUmTJiwxJj7778/3/nOd5IkVVVVOfPMM1cjOQAAAAB0brOvvDnNM2anqt+ADNpr/xVfAAAsobKyMmeccUbr+ac+9alMmzZtiXH/+Z//mUcffTRJsuuuu2a//fZb6nwXXHBBSqVSSqVS9txzzzWyZmfu0c4888xUV1cnSc4555zcfPPNS4ypq6vLcccdlwULFiRJjjvuuNZd0Z2Ne7WswLe//e38/Oc/T5KUSqX8n//zf/LUU0/lqaeeWu5122677RL/ow8ZMiQ/+9nPcsIJJ6SlpSUf/ehHc+yxx2afffZJZWVlJk2alAsvvDANDQ1JkrPPPnuxB18DAAAAwLqkccqbmXfLPUmSoYcelYru1QUnAoC114knnpirr746f//73/Ovf/0rW2+9dU488cRsvvnmmTlzZi699NLcfffdSZJ+/frlN7/5Tadas717tFtvvTW33nrrYl975JFHWo+vuuqqPP/884u9/rnPfS5jx45dYq4xY8bkxz/+cU4++eQ0NjbmgAMOyNFHH5199tknvXv3ztNPP53f/e53ee2115Iko0ePzo9//OPl/8MrUKlcLpeLDtGZ7bnnnrnjjjtW+ro//vGPOeGEE5b62q9+9av8x3/8R+tf4PerrKzMt771rZx99tkrve675s6dm759+2bkr85KRc8eqzwPAAAAAHSUaef9MQseeyY1W2yd9Y75dNFxgC6iuaEhL/zP6ZkzZ0769OlTdJwu4d3O4sF/DU1NrZvbtkXdvJZsv8VbK/33dN68efn4xz+e6667bpljRowYkcsvvzy77LLLMsdccMEF+cxnPpPknVtJ33777R2+5rvaq0c766yzVrpru+2225a5Yzp5Z2fz17/+9dZdwkuz3Xbb5eqrr87IkSNXau01yQ7iApx88snZe++98+tf/zoTJ07MlClT0tLSkvXWWy977bVXPv/5z2ebbbYpOiYAAAAAdJiGp17IgseeSSorMmjvA4uOAwDrhNra2lx77bW55ppr8qc//SmTJ0/OtGnTUltbmw033DBHHHFETjrppPTt27fTrtmZe7RTTjklBxxwQM4///zceOONefXVV1NfX5/Bgwdnhx12yDHHHJOjjz46FRWd+4MQdhCvo+wgBgAAAKCzKpfLefO7v0zji1PS98O7ZujBRxYdCehC7CBe8+wgXnmruoMY2sK/hQAAAADAGlU/+fE0vjglpR7dM3DPfYuOAwDQpSiIAQAAAIA1ptzUlNlX3pQkGbDzR1JVU1twIgCArkVBDAAAAACsMXNvnpSmt2aksndN+u8yrug4AABdjoIYAAAAAFgjmmbMzpxr/pEkGbTvIamo7lFwIgCArkdBDAAAAACsEbMuuz7lhY3pMWps+my9XdFxAAC6JAUxAAAAANDhFjzxXOonP56UShl68BEpVfjVJABAEXwXBgAAAAB0qPKipsy86JokSb8dd0v1sPULTgQA0HUpiAEAAACADjX3prvS9ObbqaypzcDx+xcdBwCgS1MQAwAAAAAdpmnG7MyZcGuSZPB+h6SyR8+CEwEAdG0KYgAAAACgw8y65NqUGxel5+gNUvvB7YqOAwDQ5SmIAQAAAIAOseCxZ1L/0L+SiooMOfjIlEqloiMBAHR5CmIAAAAAoN2VGxdl5kUTkiT9d9o91UOHF5wIAIBEQQwAAAAAdIA5E+9M07QZqaztkwF77ld0HAAA/peCGAAAAABoV4umz8zca29Lkgze/7BU9uhRcCIAAN6lIAYAAAAA2tWsS65NeVFTeo7dKLVbfqjoOAAAvIeCGAAAAABoN/WPPpUFjzyVVFZkyEFHpFQqFR0JAID3UBADAAAAAO2ipXFRZl18bZKk/87jUj1kWMGJAAB4PwUxAAAAANAu5lz99zRNn5mqPn0zcNy+RccBAGApFMQAAAAAwGpb8NgzmXvjnUmSIQcdkYrq6oITAQCwNApiAAAAAGC1NM2am7d/e0WSpO+Hd03NZlsVnAgAgGVREAMAAAAAq6zc0pK3f3NZWubNT/Ww9TN4v0OLjgQAwHIoiAEAAACAVVb/4BNZ+PSLKVV3z/CjP5mKbt2KjgQAwHIoiAEAAACAVVJuacmca/6RJOm/857pPmhIwYkAAFgRBTEAAAAAsErqH3wii15/K6WePdJ/53FFxwEAoA0UxAAAAADASlts9/COe6SyZ8+CEwEA0BYKYgAAAABgpdk9DACwdlIQAwAAAAArxe5hAIC1l4IYAAAAAFgpdg8DAKy9FMQAAAAAQJu9d/fwgJ3G2T0MALCWURADAAAAAG323t3D/Xbao+g4AACsJAUxAAAAANAmdg8DAKz9FMQAAAAAQJvYPQwAsPZTEAMAAAAAK2T3MADAukFBDAAAAACs0Lx/3Gv3MADAOkBBDAAAAAAsV9PbszL7rzclSQbvdZDdwwAAazEFMQAAAACwTOVyOTMuvDrlhY3pOWps+m6/c9GRAABYDQpiAAAAAGCZ5t/7aBoefzapqszQw45OqcKvFAEA1ma+mwMAAAAAlqp5bl1mXXJtkmTguH3TffDQghMBALC6FMQAAAAAwFLNvOTatNTVp/vQ4Rmw2/ii4wAA0A4UxAAAAADAEuoffTr19/0zKZUy7PBjU6qsLDoSAADtQEEMAAAAACymZcHCzPzT1UmS/juPS4/1RxacCACA9qIgBgAAAAAWM/uvE9M8c0669R+YgeP3LzoOAADtSEEMAAAAALRqeO7lzLv1viTJ0EOPSkX37gUnAgCgPSmIAQAAAIAkSblxUWb84cqkXE6fbT+cXht+oOhIAAC0MwUxAAAAAJAkmXPtbWl6Y3oqa2ozeL9Di44DAEAHUBADAAAAAGmc8kbm3HB7kmTIQUeksmevYgMBANAhFMQAAAAA0MWVW1reubV0c0tqNtsqtVtsXXQkAAA6iIIYAAAAALq4BY8+lcaXXkupZ3WGHHRE0XEAAOhACmIAAAAA6MLK5XLmTrwrSdJvu11T1advwYkAAOhICmIAAAAA6MIWPPSvLHz25ZS6VaXfjrsWHQcAgA6mIAYAAACALqrcuCgzL7s+SdJ/l4+kW9/+BScCAKCjKYgBAAAAoIuae9PdaX57Vqr69M2A3ccXHQcAgDVAQQwAAAAAXVDTrLmZc91tSZJB+xyciu7VBScCAGBNUBADAAAAQBc0+68TU17YmB4jx6T2g9sWHQcAgDVEQQwAAAAAXczCF17N/EkPJ0mGHHh4SqVSwYkAAFhTFMQAAAAA0IWUW1oy8+JrkyR9ttkhPdYfVXAiAADWJAUxAAAAAHQh8+99NI0vTkmpR/cM2vugouMAALCGKYgBAAAAoItoaViY2X+5MUkycPd9UlXbp+BEAACsaQpiAAAAAOgi5lx3e5pnz0u3AQPTb+dxRccBAKAACmIAAAAA6AIWTZuRuRPvSpIM3u/QVFRVFZwIAIAiKIgBAAAAoAuYffkNSVNTem2wcXpvumXRcQAAKIiCGAAAAADWcQ1PvZD6h/6VlEoZfMDhKZVKRUcCAKAgCmIAAAAAWIeVm5sz85JrkyR9d9gl1UOHF5wIAIAiKYgBAAAAYB1Wd8fkLJryZip698yg8fsXHQcAgIIpiAEAAABgHdU0Y3Zm/WVikmTgnvunslfvghMBAFA0BTEAAAAArIPKLS15+3dXpLygIT1GjEq/7XcpOhIAAJ2AghgAAAAA1kHz/j4pC596MaXu3TLsyONTqqwsOhIAAJ2AghgAAAAA1jGNr7+VWX+5KUkyeL/D0n3g4IITAQDQWSiIAQAAAGAdUm5qytu/uSxpakrvjTdL3+13LjoSAACdiIIYAAAAANYhs/92Sxa9+kYqanpl6OHHpFQqFR0JAIBOREEMAAAAAOuIhmdfztzr70iSDD346FTV9ik4EQAAnY2CGAAAAADWAS0LGzPjt1ck5XL6fGiH1G7+waIjAQDQCSmIAQAAAGAdMO8f96Zp+sxU9e2XwQceXnQcAAA6KQUxAAAAAKzlWhY0tN5aetBeB6SyR8+CEwEA0FkpiAEAAABgLTf35rvTMr8+3QcNSe0Htys6DgAAnZiCGAAAAADWYs119Zk78a4kycDx+6dU4Vd+AAAsm+8WAQAAAGAtNvfGO1NesDDVw9ZLzeYfLDoOAACdnIIYAAAAANZSzXPmZd7fJyVJBo4/wO5hAABWyHeMAAAAALCWmnPd7Sk3LkqP9Uel9yabFx0HAIC1gIIYAAAAANZCTW/Pyrzb7k+SDNzrgJRKpYITAQCwNlAQAwAAAMBaaObF1yZNTek5ZsP02vADRccBAGAtoSAGAAAAgLVM/SNPZsEjTyaVFRly8JF2DwMA0GYKYgAAAABYi7QsbHxn93CS/juPS/WQYQUnAgBgbaIgBgAAAIC1yJxrb0vz27NS1bdfBo7bt+g4AACsZRTEAAAAALCWWDR1WubeeGeSZMiBH01FdXXBiQAAWNsoiAEAAABgLVAulzPjz39LmpvT+wObp/emWxYdCQCAtZCCGAAAAADWAvPvfTQLn3oxpW5VGXLQR1MqlYqOBADAWkhBDAAAAACdXMv8BZl12fVJkgF77JNu/QcWnAgAgLWVghgAAAAAOrnZV92clrl16TZoSPrv+pGi4wAAsBZTEAMAAABAJ7bw5dcy79b7kiRDDz4yFVVVBScCAGBtpiAGAAAAgE6q3NKSmRf+LSmXU/vBbdNrg42LjgQAwFpOQQwAAAAAnVTd7Q+k8aXXUupZncH7HVp0HAAA1gEKYgAAAADohJrnzMusv0xMkgwaf2CqavsUnAgAgHWBghgAAAAAOqFZl9+Q8oKGVA8fkX477Fp0HAAA1hEKYgAAAADoZBqeeiHz73kkKZUy5JAjU6rwazwAANqH7ywBAAAAoBNpWbAwM/54VZKk7/Y7p+eI0QUnAgBgXaIgBgAAAIBOZOaf/5amaTNS1bd/Bu19UNFxAABYxyiIAQAAAKCTqH/06dZbSw//2CdS2bNn0ZEAAFjHKIgBAAAAoBMoNzVn1mXXJUn677Jneo4eW3AiAADWRQpiAAAAAOgE5t16b5refDuVvWsyYNw+RccBAGAdpSAGAAAAgII1183PnL/dkiQZuNcBqezRo+BEAACsqxTEAAAAAFCwOVffkpb6hnQfOjx9t92x6DgAAKzDFMQAAAAAUKDG19/KvNvuT5IMOeDwlCr8yg4AgI7ju00AAAAAKNCsy65PWlrSe7Mt02uDjYuOAwDAOk5BDAAAAAAFWfDYM2l4/NmksjKD9z2k6DgAAHQBCmIAAAAAKEC5qTkzL70uSdJ/p93TfeDgghMBANAVKIgBAAAAoADzbrsvTW9MT2XvmgwYt0/RcQAA6CIUxAAAAACwhjXX1WfO325Jkgwcv38qe/QsOBEAAF2FghgAAAAA1rA51/wjLfMXpPvQ4em77Y5FxwEAoAtREAMAAADAGrRo6rTMu/XeJMng/Q9LqbKy4EQAAHQlCmIAAAAAWEPK5XJmXnZ90tyS3ptskd4bfqDoSAAAdDEKYgAAAABYQ+rvfywNjz2TVFZm8H6HFB0HAIAuSEEMAAAAAGtA87z5mXnxhCTJwD32TvdBQwpOBABAV6QgBgAAAIA1YNYl16Vl3vx0HzIsA3bfq+g4AAB0UQpiAAAAAOhgCx57JvPvfSQplTL0sGNSqqoqOhIAAF2UghgAAAAAOlDLgoWZccFVSZJ+O+2RniNHF5wIAICuTEEMAAAAAB1o9l8npnnmnHTrPyCD9tq/6DgAAHRxCmIAAAAA6CANz72cebfelyQZcujRqeheXXAiAAC6OgUxAAAAAHSAcuOizPjDlUm5nD7bfDi9N/xA0ZEAAEBBDAAAAAAdYfa1t6bpjemprKnN4P0PLToOAAAkURADAAAAQLtrfHVq5t5wR5JkyEFHpLJnr4ITAQDAOxTEAAAAANCOys3N79xaurklNZtvldotti46EgAAtFIQAwAAAEA7qrv74TS+/HoqevXIkIOOLDoOAAAsRkEMAAAAAO2kvKgpcyb8I0kyYPd9U1Xbp+BEAACwOAUxAAAAALSTebffn+YZs1NZ2yf9PrxL0XEAAGAJCmIAAAAAaActCxsz59rbkiQD99w3Fd26F5wIAACWpCAGAAAAgHYw96a70jK3Lt36D0zfbT5cdBwAAFgqBTEAAAAArKamWXMy97rbkyQD9zogpaqqYgMBAMAyKIgBAAAAYDXN/svElBsXpcfIMandapui4wAAwDIpiAEAAABgNSx84dXMv+eRJMmQAw9PqVQqOBEAACybghgAAAAAVlG5pSUzL742SdJnmx3SY/1RBScCAIDlUxADAAAAwCqaf98/0/jilJR6dM+gvQ8qOg4AAKyQghgAAAAAVkHLwsbM/suNSZKBu+2dqto+BScCAIAVUxADAAAAwCqYe/3taZ41N936D0i/nccVHQcAANpEQQwAAAAAK6np7VmZe+OdSZJB+x2aim7dCk4EAABtoyAGAAAAgJU064obU17UlJ5jNkzNZlsVHQcAANpMQQwAAAAAK6HhmZdS/8BjSamUIQcenlKpVHQkAABoMwUxAAAAALRRuaUlsy65LknSd7sdUz1s/YITAQDAylEQAwAAAEAbzb/7oTS+8npKPaszcPwBRccBAICVpiAGAAAAgDZoWdCQWX+9KUkyaI/9UlVTW3AiAABYeQpiAAAAAGiDOdfelpa5dek2cHD67bhb0XEAAGCVKIgBAAAAYAUWvTk9c2++O0kyeP9DU6qqKjgRAACsGgUxAAAAACxHy8LGTP/FxUlTc3pttEl6f2DzoiMBAMAqUxADAAAAwDKUy+XMvOCqLJryZip712To4cekVCoVHQsAAFaZghgAAAAAlmHeP+7N/HsfTSoqMvzoT6Vbn35FRwIAgNWiIAYAAACApWh47uXMuvS6JMngfQ5Or7EbFZwIAABWn4IYAAAAAN6ned78vP2Li5PmltRu+aH022Vc0ZEAAKBdKIgBAAAA4H3mTrwrzbPnpfvgoRl6mOcOAwCw7lAQAwAAAMB7NM+vz7x/3JskGbT3Qamori44EQAAtB8FMQAAAAC8x7xb7km5YWG6Dx2e3ptsXnQcAABoVwpiAAAAAPhfLQsWZt7Nk5IkA/fYO6UKvz4DAGDd4jtcAAAAAPhf8267Ly3zF6TbwMGp2WLrouMAAEC7UxADAAAAQJKWxkWZO/GuJMmAPfayexgAgHWS73IBAAAAIEndHQ+kZW5dqvr1T58Pbld0HAAA6BAKYgAAAAC6vHJTU+beeGeSZMDue6VUWVlwIgAA6BgKYgAAAAC6vLpJD6d55pxU1vZJnw/tUHQcAADoMApiAAAAALq0cnNz5l53e5JkwK4fSUW3bsUGAgCADqQgBgAAAKBLq7v7oTRNn5nKXr3Td/udio4DAAAdSkEMAAAAQJfVPLcus6+YmOSdZw9XdK8uOBEAAHQsBTEAAAAAXdasy29Iy/z6VA9bL/122r3oOAAA0OEUxAAAAAB0SQuefD7zJz2clEoZcuhRKVVWFh0JAAA6nIIYAAAAgC6n3LgoM//0tyRJ3x12Sc8Ro4sNBAAAa4iCGAAAAIAuZ871t6fpzbdTWdsng/Y+sOg4AACwxiiIAQAAAOhSFr0xPXOuvz1JMuSAw1PZo2exgQAAYA1SEAMAAADQZZTL5cy48OqkqTm9N94sNVtsXXQkAABYoxTEAAAAAHQZ8yc9nIVPv5hS924ZcvCRKZVKRUcCAIA1SkEMAAAAQJfQPG9+Zl12fZJk4Lj90q3/gIITAQDAmqcgBgAAAKBLmHXFDWmpq0/3ocPTf5dxRccBAIBCKIgBAAAAWOc1PP1i5t/1UJJk6CFHpVRZWXAiAAAohoK4DZqbm/PEE0/kggsuyJe//OXsvPPO6dWrV0qlUkqlUk444YQ2zXPBBRe0XtOWP2eddVaHvi8AAACArqC8qCkzLrw6SdJ3+53Tc9SYYgMBAHSwCRMm5KijjsqYMWPSo0ePDBkyJLvsskt++MMfZu7cuZ1+zeeffz5f//rXs+WWW6Zv376pqanJJptsklNOOSWPPvpom+aor6/Pvffem5/97Gc54YQTsuWWW6aqqqq1h7vgggvanKehoSE33HBDTj311IwbNy7Dhg1L9+7dU1NTkw022CBHH310/vKXv2TRokUr9T6LUlV0gLXB0UcfnauuuqroGAAAAACsgjk33JGmN6ansqY2g/Y5qOg4AAAdpq6uLscff3wmTJiw2NenT5+e6dOntxamV1xxRXbaaadOueb555+fr371q1mwYMFiX3/22Wfz7LPP5je/+U3OOOOMnHHGGcudZ+TIkZk5c+bKv6H3ueyyy/L5z38+8+bNW+K1RYsW5aWXXspLL72Uv/zlL9lqq61y8cUXZ6uttlrtdTuSgrgNmpubFzsfMGBABg4cmOeee26V5/zyl7+c8ePHL3fMpptuusrzAwAAAJAsevPtzLn2tiTJ4AMOT2XPXgUnAgDoGM3NzTnqqKMyceLEJMnQoUNz4oknZvPNN8/MmTNz6aWXZtKkSZkyZUoOPPDATJo0KZtttlmnWvOiiy7KSSedlCSpqKjIsccem7322itVVVWZNGlSLrzwwixcuDBnnnlmqqurc9pppy0323uNGjUqjY2NefPNN1fqPb788sut5fCgQYOy995758Mf/nCGDx+epqamPPLII/nTn/6Ut99+O48//ng+8pGPZNKkSdlkk01Wap01SUHcBh/+8Iez2WabZbvttst2222XsWPH5oILLshnPvOZVZ5z2223zeGHH95+IQEAAABYTLmlJTP/9LekqSm9NtwktVt+qOhIAAAd5ne/+11rUbv55pvn1ltvzdChQ1tfP+WUU3Lqqafm3HPPzaxZs3LSSSflzjvv7DRrTp8+PaecckqSd8rhq6++Ooceemjr65/61Kfymc98JnvttVfq6+vz7W9/O4cffvgyi9jDDjssm2yySWu/N2jQoJxwwgm58MILV/p97rjjjvnGN76RQw45JN26dVvstU984hM5/fTTc9hhh2XSpEmZMWNGTj755Nx6660rvc6a4hnEbXD66afne9/7Xj72sY9l7NixRccBAAAAoA3m3/1QGp58PqVuVRlyyJEplUpFRwIA6BDNzc05++yzW8///Oc/L1bUvuucc87Jhz70oSTJXXfdlZtvvrnTrPmjH/2o9VnFp5xyymLl8Lt22mmnfPe7302SNDU1Lbb++1144YU5/fTTs99++2XQoEFtfl/vd9JJJ+W+++7LEUccsUQ5/K6BAwfmL3/5S3r27Jkkue222/Lyyy+v8podTUEMAAAAwDqnZcHCzPrrTUmSgR85IN0HrPovBQEAOrs777wzb7zxRpJk3Lhx2XbbbZc6rrKyMl/5yldazy+99NJOs+bll1/eevzv//7vy1z3xBNPTO/evZMkEyZMWOJZxe2tf//+bRo3fPjw7LHHHq3njz32WEdFWm0KYgAAAADWOXOuvy0tc+vSbcCg9N9p96LjAAB0qBtvvLH1+MADD1zu2AMOOGCp1xW55pNPPplXXnklSbLZZpst946+tbW12X33d76/mz9/fu64446Vyt2R+vTp03rc0cX16lAQF+SXv/xlNttss9TU1KRXr14ZNWpUDj300PzqV79KfX190fEAAAAA1lqLps/M3Il3J0kG739oSlVVBScCAOhYjz/+eOvxDjvssNyxw4YNy8iRI5Mkb731VqZPn174misz1/vHvPfaoj3xxBOtx6NHjy4wyfIpiAsyefLkPP3005k/f34WLFiQKVOm5Nprr80Xv/jFjBkzJtddd13REQEAAADWSrOvuDFpakqvDTZO7022KDoOAECHe+aZZ1qPl7f7dmlj3nttUWsWkb+93X777XnqqaeSJIMHD25T0V0UH59cwyorK7Pzzjtn9913zwc+8IHU1NRk9uzZeeihh3LFFVdk5syZmT59eg499NBcfPHFOe6449o078KFC7Nw4cLW83cf4g0AAADQlTQ882LqJz+elEoZfMBhKZVKRUcCAFhl7+97qqurU11dvcS42bNntx4PGjRohfMOHDhwqdeujPZcs4j87amhoSFf/OIXW8+/+c1vprKyssBEy6cgXoN22223vPzyyxkxYsQSr/3bv/1bfvCDH+TEE0/M5ZdfnnK5nM9+9rPZddddM2rUqBXO/b3vfS9nn312R8QGAAAAWCuUW1oy65J37srWd/udUz10vYITAQDvdeXcbdKjpVvRMdYKDXWLkkxsvS3zu84888ycddZZS4yvq6trPe7Ro8cK5+/Zs2fr8bx581YpY3uuWUT+9vSZz3ymdffwhz/84XzpS18qONHyucX0GrTRRhsttRx+V21tbS6++OLsueeeSd75tME555zTprm/+c1vZs6cOa1/pkyZ0h6RAQAAANYa8yc9nMZXpqbUszoDx+9fdBwAgNU2ZcqUxfqfb37zm0VH4n1OP/30XHbZZUne2dl82WWXpVu3zv1BCAVxJ1NZWZn/+q//aj1v67OIq6ur06dPn8X+AAAAAHQVLQsWZvZfb0qSDNxjv1T1rik4EQDA6nt/97O020snSU3N//+9T0NDwwrnXbBgQetxbW3tKmVrzzWLyN8e/uu//ivf+973kiT9+vXLzTff3KZnKBdNQdwJ7bzzzq3b51999dXU19cXnAgAAACgc5tz/e1pnjMv3QYMSv8ddys6DgDAGtWvX7/W47fffnuF42fMmLHUa4tas4j8q+v73/9+vvOd7yRJ+vbtm5tuuinbbrttIVlWloK4E6qoqMiAAQNazzvDw7UBAAAAOqum6TMzd+JdSZLB+x2aUlVVwYkAANasTTbZpPX4pZdeWuH4945577VFrVlE/tXx/e9/v/V233369MlNN92UD3/4w2s8x6pSEHdCLS0tmTVrVut5UZ98AAAAAFgbzPrLxKSpKT3Hbpzem25RdBwAgDVuq622aj2ePHnycse+9dZbmTJlSpJkyJAhGTx4cOFrrsxc7x+z5ZZbtilve3lvOVxbW5uJEydmxx13XKMZVpeCuBO67777Wu+dPmLEiPTq1avgRAAAAACdU8MzL6X+gceSUilDDjgspVKp6EgAAGvc/vvv33p84403LnfsDTfc0Hp84IEHdoo1N99884waNSpJ8tRTT+Xll19e5lx1dXW566537h7Tq1evjBs3bmVir5allcM777zzGlu/vSiIO5mWlpacccYZrecHH3xwgWkAAAAAOq9yS0tmXXJdkqTvdjuleth6BScCACjGuHHjMmzYsCTJ7bffnocffnip45qbm/PTn/609fzYY4/tNGsec8wxrcfnnXfeMtc9//zzM3/+/CTJoYceusY2Wv7gBz9oLYdrampy4403Zpdddlkja7c3BfEacu+99+b8889PQ0PDMsfMnz8/n/rUp/KPf/wjSVJdXZ3TTjttTUUEAAAAWKvMn/RwGl95PaWe1Rk4fv8VXwAAsI6qrKxcbAPipz71qUybNm2Jcf/5n/+ZRx99NEmy6667Zr/99lvqfBdccEFKpVJKpVL23HPPNbLmqaeemtra2iTJL37xi0yYMGGJMffff3++853vJEmqqqpy5plnLnWu9vajH/2otbOrqanJxIkTs+uuu66RtTtCVdEB1gYvvfRSfv/73y/2tccee6z1+JFHHsm3v/3txV4fP358xo8f33r+1ltv5aSTTsrXvva17LPPPtluu+0ycuTI9O7dO3PmzMnDDz+cyy67LDNmzEiSlEql/O53v8uYMWM67o0BAAAArKWa59dn9l9vSpIM3H3fVNXUFpwIAKBYJ554Yq6++ur8/e9/z7/+9a9svfXWOfHEE7P55ptn5syZufTSS3P33XcnSfr165ff/OY3nWrNIUOG5Gc/+1lOOOGEtLS05KMf/WiOPfbY7LPPPqmsrMykSZNy4YUXtm7GPPvss7Ppppsuc75bb701t95662Jfe+SRR1qPr7rqqjz//POLvf65z30uY8eOXexrv/vd7/L1r3+99fykk07K9OnT87e//W25/2w23XTT5eYrkoK4DV555ZX893//9zJff+yxxxYrjJN3PrXw3oL4XXV1dbn66qtz9dVXL3O+YcOG5Xe/+10OOuigVQ8NAAAAsA6bddG1aZ4zL90GDk6/nXYvOg4AQOGqqqpy5ZVX5uMf/3iuu+66vPnmm/nud7+7xLgRI0bk8ssvzxZbbNHp1vz0pz+d+vr6/Md//EcaGhpyySWX5JJLLllsTGVlZb71rW/l9NNPX+5cd95553L7vWuvvTbXXnvtYl/be++9lyiI3y2433Xuuefm3HPPXe7aSXLmmWfmrLPOWuG4IiiI15C9994711xzTe6///488MADmTJlSmbMmJHZs2enV69eGTJkSLbddtscdNBBOfroo9OjR4+iIwMAAAB0SvUPPpH59z6SlEoZdsRxqajyKy4AgCSpra3Ntddem2uuuSZ/+tOfMnny5EybNi21tbXZcMMNc8QRR+Skk05K3759O+2aJ598cvbee+/8+te/zsSJEzNlypS0tLRkvfXWy1577ZXPf/7z2Wabbdotf1dUKpfL5aJD0P7mzp2bvn37ZuSvzkpFT2UzAAAAsG5onluXqd/6f2mZNz8Ddt8rg/ZxBzYAVk5zQ0Ne+J/TM2fOnPTp06foOF3Cu53FN+/dPz1quhUdZ63QULco39t5or+ndIiKogMAAAAAQFuUy+XMvPDqtMybn+5Dh2fAR/YrOhIAAKx1FMQAAAAArBXm3/to6h/6V1JZkWFHfNytpQEAYBUoiAEAAADo9Jpmzcmsi65Jkgwct196DF+/4EQAALB2UhADAAAA0KmVy+XM+MOVaalvSPV6IzNg9/FFRwIAgLWWghgAAACATq3ujslpePzZpKoqw444LqXKyqIjAQDAWktBDAAAAECn1TRjdmZddl2SZNBeB6Z6yLCCEwEAwNpNQQwAAABApzXnmltSbmhMj5Fj0n/nPYqOAwAAaz0FMQAAAACd0qK33k7d3Q8nSQbvd2hKFX6VBQAAq8t31QAAAAB0SnMm3Jq0tKTXxpum56gxRccBAIB1goIYAAAAgE5n0RvTM/+eR5Ikg8bvX3AaAABYdyiIAQAAAOh0Zl/zj6RcTu9NtkiP9UcVHQcAANYZCmIAAAAAOpXG199K/f3/TJIMHL9fwWkAAGDdoiAGAAAAoNMol8uZddn1Sbmcms22So/hI4qOBAAA6xQFMQAAAACdxoKH/pWGx59NqiozaJ+Dio4DAADrHAUxAAAAAJ1Cy8LGzLzk2iTJgF0+ku6DhhScCAAA1j0KYgAAAAA6hTnX/CPNM+ekql//DNhj76LjAADAOklBDAAAAEDhGl9/K3NvuitJMuTAj6aie/eCEwEAwLpJQQwAAABAocrlcmb++ZqkuSW9N9kiNZtuWXQkAABYZymIAQAAAChU/X3/zMKnX0ypW1WGHHh40XEAAGCdpiAGAAAAoDAt9Q2Zddn1SZIBu++Tbv0HFpwIAADWbQpiAAAAAAoz++q/p3nOvHQbODj9d/tI0XEAAGCdpyAGAAAAoBCNr0zNvFvuSZIMOeiIVFRVFZwIAADWfQpiAAAAANa4cktLZv75b0m5nJottk7vjTYpOhIAAHQJCmIAAAAA1rj5dz+Uhc+/mlKP7hl8wGFFxwEAgC5DQQwAAADAGtVcNz+zrrgxSTJw3P7p1qdfsYEAAKALURADAAAAsEbN/utNaamrT/chw9J/p92LjgMAAF2KghgAAACANWbhi1NSd8fkJMmQg49MqbKy4EQAANC1KIgBAAAAWCPKi5oy44KrknI5fT60fXqN2bDoSAAA0OUoiAEAAABYI2ZefG0WvfpGKnr3yqB9Dyk6DgAAdEkKYgAAAAA6XN1dD6bu9vuTUinDj/hEqmpqi44EAABdkoIYAAAAgA7V+PpbmXHh35IkAz+yf3pvvGmxgQAAoAtTEAMAAADQoWb/dWLS1JReG2+aAXvsVXQcAADo0hTEAAAAAHSYhS9OyYJHnkpKpQw54PCUKvw6CgAAiuQ7cgAAAAA6zOwrb06S9PnQ9uk+aEjBaQAAAAUxAAAAAB2i4ekX0/Cv55LKygzcc9+i4wAAAFEQAwAAANAByuVyZl/1zu7hvtvumG79BxacCAAASBTEAAAAAHSAhieey8JnX06qqjJg3N5FxwEAAP6XghgAAACAdvXe3cP9dtg13fr0KzYQAADQSkEMAAAAQLta8PCTaXzptZSqu2fA7uOLjgMAALyHghgAAACAdlNuacnsq9/ZPdx/xz1SVVNbcCIAAOC9FMQAAAAAtJv6Bx7PotfeSqlnj/Tfdc+i4wAAAO+jIAYAAACgXZSbmzP7b39PkgzY+SOp7Nmr4EQAAMD7KYgBAAAAaBfz73kkTW++nYpevdN/592LjgMAACyFghgAAACA1dZcV5/ZV96UJBmw2/hUVPcoOBEAALA0CmIAAAAAVtusiyekefa8dBs0JP123LXoOAAAwDIoiAEAAABYLfUPPZH59z6alEoZ9tFjU9Gte9GRAACAZVAQAwAAALDKmufNz4wL/5Yk6b/rR9Jz5JhC8wAAAMunIAYAAABglc3809/SMrcu3YcMy8Dx+xcdBwAAWAEFMQAAAACrZP79/0z95MeTiooMO+K4VFRVFR0JAABYAQUxAAAAACutefa8zPzTNUmSAXvsnR7rjSw4EQAA0BYKYgAAAABWSrlczowLr0rL/PpUD1s/A/fYu+hIAABAGymIAQAAAFgp8+95JAseeSqprMywI49Lya2lAQBgraEgBgAAAKDNmmbNycyLJiRJBu65X6qHrldwIgAAYGUoiAEAAABok3K5nBl/uDLlBQ2pXn9kBuz2kaIjAQAAK0lBDAAAAECb1N05OQ2PP5tUVWXYER9PqbKy6EgAAMBKUhADAAAAsEJNM2Zn1qXXJ0kGjT8g1YOHFpwIAABYFQpiAAAAAFZo7g13pNywMD1Gjkn/XcYVHQcAAFhFCmIAAAAAlqtl/oLU3f1QkmTQ+P1TqvArJQAAWFv5bh4AAACA5Zp3xwMpL2xM9yHD0nODjYuOAwAArAYFMQAAAADL1Dy3LnOvuy1J0n+XPVMqlQpOBAAArA4FMQAAAADLNPvKm9NS35Dq4eunz4e2LzoOAACwmhTEAAAAACzVwpdeS92dk5MkQw48wrOHAQBgHeC7egAAAACWUG5pycyLJiTlcmq33i49R48tOhIAANAOFMQAAAAALGH+PY+k8YVXU+rRPYP3PaToOAAAQDtREAMAAACwmJb6hsy64sYkycA99k1VbZ+CEwEAAO1FQQwAAADAYmZfc0ta5tal26Ah6b/THkXHAQAA2pGCGAAAAIBWja+/lXm33JMkGXLA4SlVVRWcCAAAaE8KYgAAAACSJOVyObMuvjZpbknvTbdM7403LToSAADQzhTEAAAAACRJ6h98Ig1PPp9UVWXw/ocVHQcAAOgACmIAAAAA0rKwMbMuuz5JMmDXj6T7gIEFJwIAADqCghgAAACAzL3hjjTPmJ2qvv0zYPe9io4DAAB0EAUxAAAAQBe3aPrMzLn+jiTJ4P0PTUX37gUnAgAAOoqCGAAAAKCLm3XpdUlTU3qO3Tg1m3+w6DgAAEAHUhADAAAAdGELnng2Cx5+MqmoyJCDPppSqVR0JAAAoAMpiAEAAAC6qJYFDZn5p2uSJP123C3VQ4YVnAgAAOhoCmIAAACALmrmn65J07QZqerbPwM/sl/RcQAAgDVAQQwAAADQBdVNejjz730kKZUy/GOfSGWPnkVHAgAA1gAFMQAAAEAXs+ittzPzz39Lkgzcc9/0HD222EAAAMAaoyAGAAAA6ELKTU15+9eXpdzQmJ6jN8iAcfsUHQkAAFiDFMQAAAAAXcjsq/6expdeS0Xvnhn2seNTqvDrIQAA6Er8BAAAAADQRTQ8/WLm3nBHkmToIcekW9/+BScCAADWNAUxAAAAQBdQLpcz6/IbkiR9ttsxtZt/sOBEAABAERTEAAAAAF3Agof/lcaXXkupunsG7XVg0XEAAICCKIjXcQ0vTCk6AgAAAFCwcktLZl95c5Kk/457pKqmtuBEAABAURTE67jpP/p9Zv1lYsqLmoqOAgAAABRk/r2PZNHUaano3TP9d/1I0XEAAIACKYi7gLnX3543/u/P0zjljaKjAAAAAGtYuakps6++JUkyYJfxqezZs+BEAABAkRTE67ihR348FbW9s2jKm3nj7J9nzvW3p9zSUnQsAAAAYA2pu2Nymt+elcqa2vTbcfei4wAAAAVTEK/jajbZMmNO/kZ6b7pF0tSc2X+ZmLe+95ssmjaj6GgAAABAB2tZ2Jg5E25Nkgzcc99UdO9ecCIAAKBoCuIuoKqmNusd99kM/eixKfWozsLnXskb3/lJ5t1+f8rlctHxAAAAgA4y75Z70jxnXqr6DUjfbXcsOg4AANAJKIi7iFKplL7bfDhjvvj19ByzYcoLGzPzgqsz7dw/ZtGbbxcdDwAAAGhnzfPrM/eGO5Ikg8bvl1JVVcGJAACAzkBB3MV06zcgI044OYP3PyypqkrDE89m6rf+X2ZdcWNaFjQUHQ8AAABoJ7OvmJiW+QvSfciw1H5wu6LjAAAAnYSCuAsqVVSk/y7jMuaLp6bXRpsmzc2Ze8Mdmfqf56burgdTbmkpOiIAAACwGhqefjF1dzyQJBly8JEpVfgVEAAA8A4/HXRh3QcNyfqfPDHrHf9v6TZwcJrnzMuM3/81b373l1n40mtFxwMAAABWQblxUWb88aokSd/td06vMRsWnAgAAOhMFMRdXKlUSs0mm2fMKV/PoH0PSalHdRpfei1v/t9fZNZl16dlYWPREQEAAICVMHvCrWl66+1U1vbJoH0PLjoOAADQySiISZKUqqoyYLePZOxXTk/tVtsk5XLmTrwrb3z7x1nw5PNFxwMAAADaoPHVqZl74x1JkqEHH5nKHj0LTgQAAHQ2CmIWU1VTm+FHfTLrHf9vqerTL03TZ2baD36XGX/4a1rmLyg6HgAAALAM5ZaWd24t3dySms23Ss1mWxUdCQAA6IQUxCxVzSabZ/SXvpG+H941SVJ354OZevp5qX/wiYKTAQAAAEsz7++T0vjSayn17JEhBx5RdBwAAKCTUhCzTJU9emTowUdm5Oe+lG6DhqR5zrxM//lFmf7zi9I8e17R8QAAAID/tWj6zMy+8uYkyeB9DklVn74FJwIAADorBTEr1HP0Bhl98tcyYI+9k8qK1D/4RKaefm7q7pyccrlcdDwAAADo0srlcmZeeHXKjYvSc8yG6bvtjkVHAgAAOjEFMW1S0a1bBu19YEaf9O+pXm9EWuobMuMPV2baj36fRdNmFB0PAAAAuqz59z6ahieeS6qqMvTQo1Kq8OseAABg2fzEwEqpHrZ+Rp34fzJo34NT6laVhn89nze+/ePMnXhXyi0tRccDAACALqV5bl1mXXJtkmTQnvum+6AhBScCAAA6OwUxK61UWZkBu43P6C9+PT3HbJhy46LMuuz6vPndX6ZxyptFxwMAAIAuY9al16Wlrj7dhw5P/10/UnQcAABgLaAgZpV1Hzg4Iz7zxQw59KiUevZI40uv5Y2zfpo5N9zh2cQAAADQwRY89kzm3/toUipl6GFHp1RZWXQkAABgLaAgZrWUSqX0237njD3ltPTebMukuSWzr7gxb//ykrQ0LCw6HgAAAKyTWhoWZsaFVydJ+u20R3qOGF1wIgAAYG2hIKZdVPXpm/WO/UyGHPKxpLIy9ZMfz5vf/WUWvfV20dEAAABgnTP7ypvTPGN2qvoNyKC99i86DgAAsBZRENNuSqVS+u2wS0Z+5ouprKnNotffyhvf+Ulm/WViWuYvKDoeAAAArBMWPPl85t1yT5Jk6CEfS0X36oITAQAAaxMFMe2u56ixGX3y19Jz7EYpNy7K3Otvz+vf+EHm3HBHWhoXFR0PAAAA1lrlRU2ZeeHVSbmcPtvtmN4bb1p0JAAAYC2jIKZDVNX2yYgTTs56H/9cug8Zlpb5CzL7ihsz9T9/lHl3TE65ubnoiAAAALDWmXvT3Wl6a0Yqa2ozeL/Dio4DAACshaqKDsC6q1QqpWbTLdL7A5tl7j8fyoxbJ6Zp5qzM/OOVmXfTXel35L7pue0WKZVKRUcFAACATq9p5pzMmfCPJMngfQ9JZY8eBScCAADWRgpiOlypoiJ9t9khtVt+KHMm35MZd/w9i6ZOy/SfXZTuG45K/6P2T49NNyg6JgAAAHRqsy67PuXGRekxamxqt96u6DgAAMBayi2mWWMqunVL/13GZey/fysD9tg7pe7d0vjCq3nr++dn2nl/TOOUN4qOCAAAAJ1Sw1MvpP6Bx5JSKUMO+qi7cQEAAKvMDmLWuMoePTNo7wPTb8fdMuP2mzPn4fuy4LFnsuDxZ1PzkR3T/5gDU1HdveiYAAAA0CmUm5sz8+IJSZK+2++cHsNHFJwIAABYm9lBTGGqavtk6CEfy5gvnZbaLT+UlMupu/W+vHHGT7Pw+VeLjgcAAACdwrxb78ui195KRU2vDNrrgKLjAAAAazkFMYXrPnBwhh/9qaz/6S+kqk+/NL31dt78719l9pU3p9zUVHQ8AAAAKEzznHmZfdXNSZJB4w9KZa/eBScCAADWdgpiOo3eG34go085NbUf3DYplzPn2lvz5nd/lcbX3yo6GgAAABRi1l8nprxgYaqHj0jfbXcsOg4AALAOUBDTqVT27JXhH/tEhh/9qVT07pXGV17PG2f+LHNvuivllpai4wEAAMAas/CFVzP/roeSJEMOOiKlCr/GAQAAVp+fLOiUarf8UMZ88RvptfGmSVNTZl16fd76we/S9PasoqMBAABAhyu3tGTmRROSJH222SE9R40pNhAAALDOUBDTaVXV9sn6nzgxQw75WErdu2Xh0y9m6nd+nLq7H0q5XC46HgAAAHSYurseTONLr6XUszqD9jm46DgAAMA6REFMp1YqldJvh10y+uRT02PkmJQXLMyM3/0l039+UZrn1hUdDwAAANpdc119Zv9lYpJk0Lj9U1VTW3AiAABgXaIgZq3QfeDgjPzclzJo7wOTysoseOhfmfrtH6f+kSeLjgYAAADtas7Vf09LXX26DxmWfjvuVnQcAABgHaMgZq1RqqjIgD32zqjPfzXdhwxLy9y6TP/Jn/L2b6/Iomkzio4HAAAAq63xlamZd+t9SZIhB340pcrKghMBAADrGgUxa50ew9fPqJP+Pf133TMplTJ/0sOZetqPMuOPV6W5rr7oeAAAALBKWhY25u3zL0/K5dRssXV6bbBx0ZEAAIB1kIKYtVJFt24ZvN+hGfm5L6XXRpsm5XLq7nggU795buomPZxyuVx0RAAAAFgpsy6ekEWvv5XKmtoMOeiIouMAAADrKAUxa7Weo8ZmxKc+n5Gf+9I7t52eNz8zfntF3jrnt1k0dVrR8QAAAKBN6u55JHV3PpiUShn+sU+kqqa26EgAAMA6SkHMOqHn6A0y+gv/kUH7HJRS925Z+PSLmfqdn2T2VTenpXFR0fEAAABgmRa9OT0zL7w6STJg3D5uLQ0AAHQoBTHrjFJVVQbsvlfGnPKN9N54s6S5OXMm3Jo3vv3jLHji2aLjAQAAwBLKjYsy/ReXpLywMT3HbJiBe+5bdCQAAGAdpyBmndOt/8Cs94l/y/BjPp3K2j5pmjYj0370h0z/1aVpmj236HgAAADQauZl12fRlDdSUds7wz/2iZQq/KoGAADoWFVFB4COUCqVUrvF1um90SZ5+9aJmX3fXam//59Z8NjT6f+x/VPzkR390A0AAECh5j/wWOpuvS9JMvyjn0hVn74FJwIAALoCDRnrtIrqHhlywOEZ9YV/T/X6I1NesDAz/3xN3vzuL9P4yutFxwMAAKCLWjRtRmb88cokyYDd90rvjTYpOBEAANBVKIjpEnoMH5FRJ/6fDDn4yJR6Vqfxpdfyxlk/z8xLrk3LgoVFxwMAAKCLmf2XiSkvWJgeo8Zm4Pj9i44DAAB0IQpiuoxSRUX6fXjXjP3SN1O71TZJuZx5N0/K1NPPTf2jTxcdDwAAgC6iccobqZ/8eFIqZeghH0upsrLoSAAAQBeiIKbLqartk+FHfTLrf/Lz6TZgYJpnzc30H1+QWZddn3JTU9HxAAAAWMfN/tstSZLaLbZO9dDhBacBAAC6GgUxXVbvjTfN6FO+nn477Z4kmTvxrrz5P79J0/SZBScDAABgXbXw5dez4KF/JaVSBnxkv6LjAAAAXZCCmC6tolv3DDnwo1nvuM+molePNL44JVPP+GnqH3yi6GgAAACsg+a8u3t4q21SPXhowWkAAICuSEEMSWo22zKjv3BqeowYnfKChkz/+UWZ+edrUl7kltMAAAC0j4UvvZYFjz6VlEoZuOe+RccBAAC6KAUx/K9u/QZk5Oe+lP67fiRJMu8f9+bN//pVFr31dsHJAAAAWBfMufrvSZI+W2+X7oOGFJwGAADoqhTE8B6lysoM3u+QrHf8v6WiplcaX3k9b5zx08y+5pa0LGwsOh4AAABrqYZnXsyCx55JKioyYNw+RccBAAC6MAUxLEXNJptn9EmnpufoDVJe2Jg5V9+Sqaf9MPPumJxyS0vR8QAAAFiLlBsXZcYFVydJ+m7z4XQfOLjgRAAAQFemIIZl6Na3X0Z89pQMP+qT6dZ/QJpnz8vMP16ZN874aRY8/mzR8QAAAFhLzLnutjS9MT2VNbUZtM9BRccBAAC6uKqiA0BnViqVUrvVNum92VaZc//dmXH337PotTcz7dw/pMcWG6f/MQek+6j1io4JAABAJ9X42puZc/3tSZIhB340lb16FxsIAADo8uwghjaoqKpK/133zNgvn57+u4xLqirT8K/n8saZP8uMC69Oy4KGoiMCAADQyZRbWjLjD1cmzS3pvekWqdli66IjAQAAKIhhZVT26p3B+x+WMV/6z9Ru+aGkXE7dbfdn6rf+XxY89kzR8QAAAOhE5v3j3jS+OCWlHtUZctCRKZVKRUcCAABQEMOq6D5gYIYf/amM+MwX023AwDTPnJNp5/0xb//2ijTX1RcdDwAAgII1zZid2X+9KUkyeO+D061vv2IDAQAA/C8FMayGXmM3yugvfv2d206XSpk/6eFMPf281D/4RNHRAAAAKEi5XM7MC69OeWFjeowam77b71x0JAAAgFYKYlhNFd27Z/D+h2Xkv3053QcPTcvcukz/+UWZ/ouL0zxnXtHxAAAAWMPq7//nO48hqqrM0MOOTqnCr18AAIDOw08o0E56jhyTUSd/LQP22DupqEj95Mcz9fT/l7p7Hkm5XC46HgAAAGtA87z5mXnxtUmSgXvsk+rBQwtOBAAAsDgFMbSjiqqqDNr7wIw66aupHrZ+WubXZ8b5l2f6jy9M06w5RccDAACgg8267Pq0zJuf7kOGZcBu44uOAwAAsAQFMXSAHsNHZNRJX83AvQ5Iqiqz4J9PZ+rp52XeHQ/YTQwAALCOWvDEs5k/6eGkVHrn1tJVVUVHAgAAWIKCGDpIqbIyA8ftk9Ff+Fp6rD8q5QULM/OPV2XaD3+fRdNnFh0PAACAdtSysDEzLrg6SdJvx93Sc+SYYgMBAAAsg4IYOlj1kGEZeeJXMni/Q1PqVpWGJ5/PG9/6f5n790kpt7QUHQ8AAIB2MPuqm9P89qxU9e2fQXsdUHQcAACAZVIQwxpQqqhI/133zOgvfj09x2yYcuOizLr42kz74e/TPLeu6HgAAACshoUvTsm8myclSYYe8rFUVPcoOBEAAMCyKYhhDeo+cHBGnHByhhx8ZErV3dPw1At548yfpuGZF4uOBgAAwCooNzVlxh+vTMrl1H5w2/T+wGZFRwIAAFguBTGsYaWKivT78K4ZdeJX033QkDTPmpu3vnd+3v7dX+wmBgAAWIuUm5vz9q8vy6Ipb6aiplcGH3B40ZEAAABWSEEMBakeMiyjTvpq+m63U5Jk/t0PZeo3z8282+/3bGIAAIC1wOyr/p76B59Iqioz/IhPpqp3TdGRAAAAVkhBDAWqqO6RoYcdnZH/9pVUD1svLfMXZOYFV+fN//pVGl95veh4AAAALEPjK1Mz98Y7kyTDP/rx9N5ok4ITAQAAtI2CGDqBnqPGZNRJ/57BBxyeUo/qNL44JW+c9fPMvGhCWuobio4HAADAe5RbWjLjgquSlpbUbP7B1G61TdGRAAAA2kxBDJ1EqbIy/XfeI2O/9J/v/HKhXM68W+7J1G+em/n3PZpyuVx0RAAAAJLM+/ukNL70Wko9e2TIQUcUHQcAAGClKIihk6nq0zfDj/pk1v/USek2cHCa58zL27++LNN++PssemN60fEAAAC6tKbpMzP7ypuTJIP3OSRVtX0KTgQAALByFMTQSfXeaJOMPuXrGTj+gJS6VaXhyecz9ds/zqwrb0rLwsai4wEAAHQ55XI5M/58TcqNi9Jz9Abpu+2ORUcCAABYaQpi6MQqqqoycM99MvqU09J7482S5ubMvfa2TP3W/8uCx54pOh4AAECXUn//P9Pw2DNJVWWGHnpUShV+rQIAAKx9/CQDa4HuAwZmvU/8W4Yfe0Kq+vRL89uzMu28P2bGhVfbTQwAALAGNNfNz8yLr02SDNxjn3QfPLTgRAAAAKtGQQxriVKplNrNP5gxXz4t/XbaPUlSd9v9eeOMn2bh868WnA4AAGDdNuuyG9Iyb366Dx6aAbuNLzoOAADAKlMQw1qmoro6Qw78aEZ8+gup6tMvTW+9nTf/+1eZfeXNKTc1Fx0PAABgnbPgyecz/+6HklIpQw87OqWqqqIjAQAArDIFMaylem34gYw+5eup/eC2SbmcOdfemje/+8ssmjqt6GgAAADrjJbGRZl5wdVJkr477JKeo8YWnAgAAGD1KIhhLVbZs2eGf+wTGX70p1LRu1caX3k9b5z508y9+e6UW1qKjgcAALDWm3PNP9I0bUaq+vTNoL0PKjoOAADAalMQwzqgdssPZczJX0+vjTZNeVFTZl1yXab96A9pmjG76GgAAABrrcZXp2bujXcmSYYcdGQqe/QoOBEAAMDqUxDDOqKqT9+s/8kTM+SQj6XUvVsannw+U7/949Td80jK5XLR8QAAANYq5ZaWzPjjVUlLS2o2/2BqNtuy6EgAAADtQkEM65BSqZR+O+yS0Sefmh4jRqW8oCEzzr880398oWcTAwAArIS5E+9K40uvpdSzR4YcdETRcQAAANqNghjWQd0HDs7Iz305A8cfkFRWZME/n87Ub/84M/70tzTPrSs6HgAAQKfW8NQLmf3Xm5IkQ/Y9NFW1fQpOBAAA0H4UxLCOKlVWZuCe+2TMKd9I7023SFpaUnfrfXn9tB9mzo13ptzUXHREAACATqdpxuxM/+UlSUtLarfePn223bHoSAAAAO1KQdwGzc3NeeKJJ3LBBRfky1/+cnbeeef06tUrpVIppVIpJ5xwwkrP+fzzz+frX/96ttxyy/Tt2zc1NTXZZJNNcsopp+TRRx9t9/dA19V90JCs//HPZcQJJ6d6+IiUFyzM7MtvyBtn/TQNz71cdDwAAIBOo9y4KNN/flFa5s1P9bD1M/SQj6VUKhUdCwAAVtqECRNy1FFHZcyYMenRo0eGDBmSXXbZJT/84Q8zd+7cTr9me/ZoCxcuzK9+9auMHz8+w4cPT3V1dUaMGJGDDjooF110UVpaWto817Rp0/L9738/48ePz9ChQ1NdXZ1evXpl1KhROeigg/LrX/86dXWd/06upXK5XC46RGd35JFH5qqrrlrm65/+9KdzwQUXtHm+888/P1/96lezYMGCpb5eWVmZM844I2ecccbKRm01d+7c9O3bNxue/j+p7NFjledh3VJuacncRydn+i3XpqWuPklSs8cO6Xf0/qms6V1wOgAAgGLN+MOVqbtzcip698roz/97uvUfWHQkAKADNDc05IX/OT1z5sxJnz4eJbEmvNtZfPPe/dOjplvRcdYKDXWL8r2dJ67039O6urocf/zxmTBhwjLHjBw5MldccUV22mmn9oja7mu2Z4/29NNP58gjj8yTTz65zDG77bZb/vrXv2bo0KHLneuSSy7JySefvMKye7311svFF1+cPffcc4X5ilJVdIC1QXPz4rfiHTBgQAYOHJjnnntupee66KKLctJJJyVJKioqcuyxx2avvfZKVVVVJk2alAsvvDALFy7MmWeemerq6px22mnt8h4gSUoVFem77Y6p2XTLTL/5usx9+P7U3Tk59Y88mf5HH5Deu23n0/EAAECXNO/2d34+SqmU4Ud+UjkMAMBap7m5OUcddVQmTpyYJBk6dGhOPPHEbL755pk5c2YuvfTSTJo0KVOmTMmBBx6YSZMmZbPNNutUa7Znj/bGG29kv/32y6uvvpok+eAHP5hPf/rTWW+99fLiiy/m97//fV588cXcfffdOeigg3LHHXekd++lb6a79tpr84lPfCLv7rvdcsstc+yxx2b06NFpaGjIs88+mz/+8Y95++23M3Xq1BxwwAGZPHlyttxyy1X659rR7CBug//5n//JvHnzst1222W77bbL2LFjc8EFF+Qzn/lMkrbvIJ4+fXo22mijzJ07NxUVFbn66qtz6KGHLjbmvvvuy1577ZX6+vpUVVXliSeeyCabbLLSme0gpi0WvPJS3rr2L2mc9maSpHqTsRnwqcPTff3lf0oGAABgXbLw+Vfz5vd+kzQ3Z9DeB2XAHnsVHQkA6EB2EK95dhCvvFXZQfyb3/wmX/jCF5Ikm2++eW699dYldsWeeuqpOffcc5Mku+++e+68887Vytmea7Z3j3bcccflsssuS5Ice+yx+fOf/5yqqv9/72xdXV0OPvjg3HHHHUmSb3/72/nud7+71Lk23njjPP/880mS73znOzn77LOX2HA3f/78HHbYYfnHP/6RJPnoRz+63DsUF8kziNvg9NNPz/e+97187GMfy9ixY1d5nh/96Eet285POeWUJf5SJ8lOO+3U+pevqakpZ5999iqvByvSc/TYjD75axm078Epde+Whc+8lDfO+Elm/WViWhY2Fh0PAACgwzXPmZfpv7goaW5OzeZbpf/u44uOBAAAK625uXmxTunPf/7zUm+ZfM455+RDH/pQkuSuu+7KzTff3GnWbM8e7cknn8zll1+eJBk+fHh++9vfLlYOJ0lNTU0uvvji9PjfjZbnnXdeZs+evcRczz//fGs5PGzYsJx11llLvRtr796985Of/KT1fHXL946kIF6D3v2LmCT//u//vsxxJ554YusW9gkTJizzHuvQHkqVlRmw2/iM+dJp6b3pFklzS+Zef3umfuv/pf7Rp4qOBwAA0KFmXnp9mmfNTffBQzPso8d57A4AAGulO++8M2+88UaSZNy4cdl2222XOq6ysjJf+cpXWs8vvfTSTrNme/Zol19+eevtoD//+c+npqZmqXOtv/76Ofroo5Mk9fX1ueaaa5YYM23atNbjDTbYIBUVy65XN95449bjurq6ZY4rmoJ4DXnyySfzyiuvJEk222yz5e5Erq2tze67757kne3o725th47Urd+ArP/xz2W94z6bqr790vz2rEz/8YWZ9rM/p2nG7KLjAQAAtLvGV15P/X2PJkmGHXl8Kqo9ogkAgLXTjTfe2Hp84IEHLnfsAQccsNTrilyzvXu0lcn23teXlm3IkCGtxy+88EKam5uXOdezzz7berzFFlssd90iKYjXkMcff7z1eIcddljh+PeOee+10NFqNtsyY750Wvrv+pGkoiILHvpXpp5+XubeeGfKTcv+jx4AAMDaZtZfbkqS1G61TXqsN6LgNAAAsOpWpocaNmxYRo4cmSR56623Mn369MLXbM8erVwu51//+leSd3Yvb7PNNqs8V5JstNFG2XLLLVuzn3XWWa27k99r/vz5+epXv9p6fuqpp67wfRSlasVDaA/PPPNM63FbnmP83jHvvRbWhIrq6gze75D0+dB2eevaK9Pw6kuZdfkNqbvn4Qz8zJGp3mBk0REBAABWS8NTL6ThiWeTyooM3OuAFV8AAACd2Kr0UFOmTGm9dvDgwYWu2Z492pQpU1JfX58kGTFiRLp167bcuUaOHJnKyso0NzfnueeeS7lcXuLRM7/+9a+z//77p66uLv/1X/+Va665Jsccc0xGjx6dhQsX5plnnskFF1yQ6dOnp6qqKj/84Q9z3HHHrfB9FEVBvIa896HWgwYNWuH4gQMHLvXaZVm4cGEWLlzYev7uQ7xhdVQPXS8jP3tK5j7yQKbfcl0WTXkzb/7PrzPwM0emZtelP0sAAACgsyuXy5n1l4lJkr7b7ZzuA1b8czoAABTh/X1PdXV1qqurlxjX0T3U0rTnmkXO1a1bt/Tp0yezZs3KokWLMn/+/CWeWbzrrrvm3nvvzYknnpj77rsvjz/++BK7jUulUr74xS/mK1/5SjbZZJMVrlskBfEa8t4HUffoseJnGvXs2bP1eN68eSsc/73vfS9nn332qoWD5ShVVKTvdjul96Zb5q0JV2T+U09kxm+vyKI3pqXfEfumtJyHsQMAAHRG9Q8+kcYXp6RU3T0D99y36DgAAF3GndM2StX8JctNltQ0/51Nge/elvldZ555Zs4666wlxnd0D7U07blmkXO9O9+sWbNa53t/QZwkW265ZX72s5/lm9/8Zm655ZYlXi+Xy7ngggtSX1+fH/3oR4uV2J2NZmcd8c1vfjNz5sxp/fPuFn1oL1W9a7LeMSdkwO57JUnmXnd73v7FxWlZ2FhwMgAAgLYrNzdn9pU3J0n67zQuVTW1BScCAIBlmzJlymL9zze/+c2iI3VJ9fX1Oe6447LDDjtk0qRJOeuss/LUU0+loaEh8+bNyz333JNPfvKTqa+vzwUXXJCddtopL730UtGxl8kO4jXkvZ80aGhoWOH4BQsWtB7X1q74h9Vl3VIA2lOpoiKD9jko3QcPyZsTrkj9Q/9K0//8JoNO+Xi6Dem8n4QBAAB4V91dD6Xpzemp7NU7/Xf9SNFxAABgufr06ZM+ffqscFxNTU3rDtiGhoal7oB9r5XtoTp6zfbs0VZ2rhXN19LSkoMOOii33357unfvnltuuSW77LJL6+vV1dXZeeeds/POO+eDH/xgvv71r+f555/P8ccfn3vuuadN669pdhCvIf369Ws9fvvtt1c4fsaMGUu9FjqDPh/aISM/fXIqanun8ZXXM/Wb52XGn/6WplmefQ0AAHReTbPmZPaVNyVJBozbJ5VtvN0cAAB0dkX0UO25ZpFzNTU1tT7ruVu3bundu/dir1911VW5/fbbkySf/vSnFyuH3+9rX/taPvCBDyRJ7r333jzwwAMrXL8ICuI15L0Po27LlvL3junsD7Kma+o5eoOM/revpteGH0iam1N3632Z+o0fZNZl16d5bt2KJwAAAFiDys3NeftXl6Zl3vxUD18/fXdY9i91AABgbVNED9Wea7bnXCNHjkyvXr2SJK+99loWLVq03LleffXVNDc3J0k23njjlEqlxV6/7rrrWo/33Xff5c5VKpWy9957t57ff//9yx1fFAXxGrLVVlu1Hk+ePHmF4987Zsstt+yQTLC6uvUfmBGf/kJGfOaL6TFqbMqLmjJ34l15/Rs/yOwrb/7/2LvvMKfKhP3j90mbzCSZ3gtD71UUBQsqKooFEQUUUSzY3XV1fbe4q1t+67v77uqube0FGyoWig1FRQULKE1ApMMwvfckk+T8/hgdRaUPnCnfz3XNlZPk5Jw7wwCT3HmeR5H6xr0fBAAAAAAOg6o5CxXYsE2GO0oZky6RzcGqWwAAAOg49qeHKi4uVl5eniQpNTVVKSkplp+zNXs0wzA0YMAASVI4HNaKFSsO+FiSVFBQ0LIdFxe312w/HMFcV9c2B9RREB8m/fv3V5cuXSRJX3/9tbZt27bbfevq6vTxxx9LkmJiYjR69OjDERE4YDHdeirnihuUNW2GojKzZfqDqp7/vvJv/Yeq53+giD9gdUQAAAAAnVjjmo2qeX2RJCn97ElyJR3YG2AAAABAW3X66ae3bL/11lt73PfNN99s2R43blybOGdr92itme2HaxJ/V3Lvyfbt21u2k5KS9rq/FSiID6PJkye3bN9999273e+RRx5RfX29JOmcc85pGQYPtGWGYcjTq5+6XP0rZUyZLldquiINflW9skD5t/6fahZ8LDO452kcAAAAAKC1hSprVPbwC5JpKu7IkfINGmZ1JAAAAKDVjR49Wunp6ZKkRYsWafny5T+7Xzgc1r333ttyfcqUKW3mnK3Zo/3wWA8//HDL/j+Wn5+vl156SZIUHR2t8ePH/2SfH45ufv7553ebS5Kqqqr0xhtvtFwfMWLEHve3CgXxYfTrX/+65VMGDzzwgObNm/eTfT7//HP98Y9/lCQ5HA7dcccdhzUjcLAMw5Cv/2DlXvdrpZ8/Vc7EZEVq61U56w0V3PZv+ddvsToiAAAAgE7CjERU9vALitTWy5WWoZQzfvpmDwAAANAR2O123X777S3XL7nkEpWUlPxkv9/+9rdauXKlJOnYY4/V2LFjf/Z4Tz31lAzDkGEYOvHEEw/LOVuzRxswYIAmTZokSSosLNSMGTMUCoV22aeurk5Tp06V3++XJN188827TA/9ncmTJ8tma65U33vvPf3pT3/62XPW1tZq8uTJqqqqkiQNHTpUQ4YM+dl9rWaYpmlaHaKt27p1qx5//PFdblu9erXmz58vSRo8eLDOPvvsXe4/+eSTdfLJJ//kWDNnztT06dMlSTabTVOmTNGpp54qu92uJUuWaObMmS0/iH/729/0+9///oAy19TUKC4uTj1+f6fsbvcBHQNoDWY4rJqVy1T+wTsK1VRJknxjRip+0hmyRbmsDQcAAACgQ6t67V1Vz31Phtul3Ktulis51epIAACgDQj7/dp85+9VXV2t2NhYq+N0Ct91FsfOvUEOT5TVcdqFUH1AS8bfv18/p6FQSOPGjdO7774rSUpPT9eMGTPUv39/VVRUaNasWVq8eLGk5nVyFy9e3LJW74899dRTuuyyyyQ1jxRetGjRIT+n1Lo9Wn5+vo455hjt3LlTUnOfN336dGVmZmrLli167LHHtGVL86C2oUOH6uOPP5bX6/3ZY916663617/+1XJ92LBhmjx5srp166ampiatXr1azzzzjAoLCyVJbrdb77//vkaOHLnbfFaiIN4HixYt0kknnbRfj7njjjt2+wmCBx98UDfffHPLD/CP2e123Xbbbfrzn/+8v1FbUBCjrQn7/Sp7Z56qv/hMkuRISVTSFefL3be7xckAAAAAdESN6zap5J+PS6ap9POnKnbwcKsjAQCANoKC+PCjIN5/B1IQS82jWC+66CK9/vrru90nOztbL774okaNGrXbffa1IG7Nc36nNXu0devWaeLEiVq/fv1u9xk1apReeeWVlumyf45pmvrDH/6gf/zjHwqHw3s8Z0ZGhp599tmfHUjaVjDFtAWuvfZarV69WjfffLP69+8vn88nj8ejXr166ZprrtGyZcsOqhwG2iK72620cyYp65Kr5YiLV6i0QsV/f0QVz85TJBC0Oh4AAACADiRcVauyh5rXHY4dfjTlMAAAADoNn8+n+fPna86cOTrvvPOUk5OjqKgoJScn6+ijj9Y//vEPrVmzZp+KWqvO2Zo9Wv/+/bVixQrdf//9Gj16tNLS0uRyuZSZmanTTz9dTz/9tD7++OM9lsNS8/Kaf/vb37R+/Xr97ne/07HHHqvk5GQ5nU653W5lZ2frrLPO0oMPPqgNGza06XJYYgRxh8UIYrRlYb9fZQvmqfrLb0cTpyYp6YqJcvdhNDEAAACAg2NGIir51xPyr9skV2q6ulx1k2wulrcBAADfYwTx4ccI4v13oCOIgX3BCGIAh53d7Vba+B+MJi4pV/HfH1XFc4wmBgAAAHBwqud/IP+6TTJcTmVMvpRyGAAAAAB+hIIYgGU8Pfso9/pbFTv8aMk0VfvuJyr84z3yf7PV6mgAAAAA2iH/15tVPWehJCntrPMVlZJmcSIAAAAAaHsoiAFYyu6OVvr4ycqadpUcsd+NJn5EFc/NZzQxAAAAgH0WrqlT2cPfrjs87CjFDj3K6kgAAAAA0CZREANoEzy9+ir3hlsVe8R3o4mXqPD2e+TfsM3qaAAAAADaODMSUdkjLypcVStXSppSzzzP6kgAAAAA0GZREANoM+zuaKWfO1lZ02Y0jyYuLlfx/z6siucZTQwAAABg92rfXSL/mo0/WHc4yupIAAAAANBmURADaHM8vfp9O5p4RPNo4neWqPBP98m/cbvV0QAAAAC0MeGaOlXPfU+SlDJ2vKJS0y1OBAAAAABtGwUxgDapeTTxFGVNmyG7L1ahwlIV/+1BlT/xisJ19VbHAwAAANAGmKap8sdfVqTBr6j0TMUNP8bqSAAAAADQ5lEQA2jTPL36qet1v24eTSyp7qNlKvjtXar7aJnMSMTidAAAAACsVPfeZ2pctV5yOJR+3kUybLzNAQAAAAB7wysnAG2e3eNV+rlTlHPFjXKlZShS16DyJ15R8Z0PK5hXaHU8AAAAABYI7ixS5YtvSJJSTjtLUemZFicCAAAAgPaBghhAuxGd202519yslLHnyIhyKbBpuwrvuE8Vs15XpDFgdTwAAAAAh0kk2KSyh2bJbAoppldfxR99vNWRAAAAAKDdoCAG0K4YdrsSjj1RXW/4rbwDhkiRiGoXLFbB7+9S/bKvZJqm1REBAAAAHGJVL72lpp3Fsnt9Sp9woQzDsDoSAAAAALQbFMQA2iVnXLwyJ1+qrItnyJmQpHBljcoeeE4ldz+pppJyq+MBAAAAOEQaVq5X7cJPJEnpE6bI4fVZnAgAAAAA2hcKYgDtmqd3P+XecKsSTzxNctjl/2qDCn7/b1XNXSgz2GR1PAAAAACtKFRVo/LHZ0uS4keOlqdXP4sTAQAAAED7Q0EMoN2zOV1KPvl0db3uVsV07y2FQqp+baEK/niPGtdstDoeAAAAgFZgRiIqf2y2IrX1ikrPVPKpZ1odCQAAAADaJQpiAB2GKzlVWZderYwLpsnui1WouEwl/3pcpQ+9oEiD3+p4AAAAAA5C7TtL5F+zUYbLqfQLpsnmcFgdCQAAAADaJQpiAB2KYRjyDRqmrjf+VvHHHC8Zhho+W6mC2+9RYNMOq+MBAAAAOADB7fmqnP22JCnl9HMVlZJmcSIAAAAAaL8oiAF0SHa3W6njJijnyl/ImZCocFmliu58SNWvfyAzErE6HgAAAIB9FAkEVfrgC1I4LG+/QYobfozVkQAAAACgXaMgBtChRefkqsu1t8g3aJgUiajq5QUq+efjClXWWB0NAAAAwD6ofP51hYpKZffFKm38JBmGYXUkAAAAAGjXKIgBdHh2d7TSz79YaROmyHA55f96swr/+B81rPza6mgAAAAA9qB+2Veq+3CpZBjKmDhV9hiP1ZEAAAAAoN2jIAbQKRiGobhhI5R7zS2KSs9SpK5Bpf+ZqYrn5slsClkdDwAAAMCPhCqqVfHUq5KkhONOUkz3XhYnAgAAAICOgYIYQKfiSk5VzlW/VPzIEyRJte9+osK/PqCmghKLkwEAAAD4jhmJqOyRFxWpb1RUVo6STz7D6kgAAAAA0GFQEAPodGwOh1LPOFeZU6+UzedR045CFfzxP6p4Zq7CNXVWxwMAAAA6NdM0VfnCGwqs3yIjyqWM8y+WYbdbHQsAAAAAOgwKYgCdlrdPf3W9+tfy9O4vhSOqfe9T5f/P/6lq7kJF/AGr4wEAAACdUs2bH6r2nSWSpLRzJsuVlGJxIgAAAADoWCiIAXRqjtg4ZV18pbKnX6uozByZ/qCqX1uogt/8S7UffC4zHLY6IgAAANBp1H38hapmvy1JSjl9vGIHDbM4EQAAAAB0PBTEACAppnsvdbnql8q4YJqcCYkKV9eqYuZrKrz9XgU27bA6HgAAANDhNa7+RuVPvipJSjjuJCWMGm1xIgAAAADomCiIAeBbhs0m36Bh6nrjb5Uy7lzZYjxqyi9W0d8eVMWs1xUJBK2OCAAAAHRIoaoalT36khSJKHbokUo+9SyrIwEAAABAh0VBDAA/YjgcSjjmBHX7xW/lG3KkZJqqXbBYhX/4jxrXbbI6HgAAANChmJGIyh+brUhtvaLSM5V6ziQZhmF1LAAAAADosCiIAWA37DEeZUy8SFkXz5AjLl6h0gqV/N9jKn/iFUXqG62OBwAAAHQItQs/kX/NRhlOh9LPv1g2h8PqSAAAAADQoVEQA8BeeHr3U9cb/kdxI46VJNV9tEwFt92thuVrLU4GAAAAtG/BvEJVvvSWJCll7HhFpaZbnAgAAAAAOj4KYgDYB7Yot9LOmqjsy2+QMylF4apald77jEr/+7zCNXVWxwMAAADaHTPYpLKHX5BCYXl691fcUaOsjgQAAAAAnQIFMQDsh5iu3ZV73S1KOP5kyWZTw9LVKvjd3ar7ZIVM07Q6HgAAANBuVM5+W007i2X3eJV27mTWHQYAAACAw4SCGAD2k83pUsqpZ6nLVb9UVHqmIvUNKn/kRZX++ymFyqusjgcAAAC0eY2rv1Htu0skSWkTpsjh9VmcCAAAAAA6DwpiADhA7swcdbn6V0oaM05y2NW4+hsV3PZv1b7/mcxIxOp4AAAAQJsUrqlT2WOzJUnxRx8nb+/+FicCAAAAgM6FghgADoJhtytp9CnKvfbXcud0lekPqOLpOSr+x6NqKiqzOh4AAADQppimqfInXlGkpk6ulDQln3aW1ZEAAAAAoNOhIAaAVhCVkqacK25QyrgJMqJcCnyzVYV33KuGFeusjgYAAAC0GXUffK7GlV9LDrsyLrhYNqfL6kgAAAAA0OlQEANAKzFsNiUcc7y6Xvc/iu7aQ2YgqNJ7n1H1Wx/JNE2r4wEAAACWaiooUeULb0iSUsacqaj0LIsTAQAAAEDnREEMAK3MmZCo7EuvUdxRoyTTVNWLb6rs4RcUqqqxOhoAAABgiYg/oLKHX5AZbFJM996KH3mC1ZEAAAAAoNOiIAaAQ8Cw25V61kSljJsgGYYaPlulgv/5p6rmLFTEH7A6HgAAAHDYRPwBldz9pILbC2TzxCj9vAtl2Hg7AgAAAACswisyADhEDMNQwjHHK+fKG+XO6Soz2KTqOQtV8Jt/qfbDpTIjEasjAgAAAIdUpLG5HA5s2CYj2q2sqTPkiI2zOhYAAAAAdGoUxABwiEXndFXOlTcqY/KlciYkKVxdq4onX1Xh7feocfU3rE8MAACADqm5HH6ipRzOueQaRWfnWh0LAAAAADo9h9UBAKAzMAxDvgFD5O0zQFVLl6j843fVtLNYJXc/KfeAnkqYNE6u3EyrYwIAAACtItLoV8ldTyqwabtsMW5lT7tW7qwcq2MBAAAAAMQIYgA4rAyHQwmjRqvbL36vhGNPlBx2+dduUuGf7lPZY7MVqqi2OiIAAABwUJrL4Seay2FPtLIvoRwGAAAAgLaEEcQAYAF7dIxSxp6j+BHHqmzhm6r9aoXqF3+phqWrFTv2eMWOGy1bdJTVMQEAAID9Emnwq/iuJxTcvKO5HJ52rdyZ2VbHAgAAAAD8ACOIAcBCzoQkZVwwTTkzfqnoLt1kBptUPf99FfzuLjWu22R1PAAAAGCfmaapsodf+LYcjmkeOUw5DAAAAABtDgUxALQB0Tm5yr7iBmVeeJmcickKV9Wo5J+Pq3L22zJDYavjAQAAAHtV995naly1XnI4lD3tarkzKIcBAAAAoC2iIAaANsIwDHn7DVLudbcobvgxkmmq5o1FKrrzITWVlFsdDwAAANitYH6xKl98Q5KUctpZcmey5jAAAAAAtFUUxADQxthcUUobP0kZky+VLcat4JY8Fd5+r+o+WWF1NAAAAOAnzKaQyh56QWZTSDE9+yr+6OOtjgQAAAAA2AMKYgBoo3wDhij3mlsVndtdpj+g8kdeVNkjLyrSGLA6GgAAANCi6pUFasorlM3nUfqEKTIMw+pIAAAAAIA9oCAGgDbMGZ+g7OnXKumksZJhqP6TFSq8414FtuRZHQ0AAABQ49qNqnn7Y0lS+tlT5PDFWpwIAAAAALA3FMQA0MYZdruSThqrnMtvkCMuQaGSchX97UFVv7FIZiRidTwAAAB0UuG6epU/OluSFHfUKHn7DrA4EQAAAABgX1AQA0A7EZ3bTbnX/VregUOlcERVs99Wyb+eUKiyxupoAAAA6GRM01T5k68qXFUjZ3KqUsaeY3UkAAAAAMA+oiAGgHbEHh2tjAumKe3cyTJcTvnXbVLh7feoYcU6q6MBAACgE6n76As1frlWstuVcf7FsrlcVkcCAAAAAOwjh9UBAAD7xzAMxR1xtKK7dFPhS88oUJSv0nueVlTf7oo780S5B/aSYRhWxwQAAEAH5f9miyqfmydJSj75DLkzsy1OBAAAAADYH4wgBoB2ypWcqpyrfqmEUSdKdpsC67eo5K4nVPSXBxTYlm91PAAAAHRA/m+2qOTup2QGmxTTq68Sjj3R6kgAAAAAgP1EQQwA7ZjN4VDK6eeo2023KX7kaBkup4Jbd6roz/erYtbrivgDVkcEAABAB9FSDgeCiunRW5lTpsuw8bYCAAAAALQ3vJIDgA7AGZeg1DPGq9tNf5Bv0DDJNFW7YLEKbvu3GlettzoeAAAA2jn/N1t3LYcvulw2J+sOAwAAAEB7REEMAB2Iw+tTxgXTlHXxDDniExQur1LJv59S6YOzFK6utToeAAAA2qHmcvhJymEAAAAA6CAoiAGgA/L07qeuN/xP8/rEhqGGz1ep4Hd3qfbDpTIjEavjAQAAoJ3YpRzuTjkMAAAAAB0BBTEAdFA2V5RSTj9HXa7+laIyshVp8KviyVdV/I9H1VRQYnU8AAAAtHH+Ddt2LYenUg4DAAAAQEdAQQwAHZw7M1tdrvqlUk4fL8PlVOCbrSq4/R5VzVkosylkdTwAAAC0Qf4N21Ry1xOUwwAAAADQAVEQA0AnYNjtShg1Wl2v/41ievWVQmFVz1mogtvvkf+brVbHAwAAQBvi37h913KYaaUBAAAAoEOhIAaATsSZkKisi2co44Jpsnt9ChWWqvh/H1b5k68qXN9gdTwAAABYrKmoTKX/mblrOeyiHAYAAACAjoSCGAA6GcMw5Bs0TF1v/I3ihh8jSar7cKkKfne36pd9ZXE6AAAAWCVcV6+Sfz+pSH2D3FldKIcBAAAAoIOiIAaATsoeHaO08ZOUffkNciWnKlJTp7IHnlP503NYmxgAAKCTMZtCKr33GYWKy+WIT1Dm1CsohwEAAACgg6IgBoBOLqZrd3W57tdKPOEUSVLd+5+p6H8fVqi8ytpgAAAAOCxM01T5E68osGGbjOgoZV08Qw6vz+pYAAAAAIBDhIIYACCbw6HkU8Yp8+IrZfNEK7glT4V/uk+NazdaHQ0AAACHWPXc91T/6QrJZlPmBdMVlZpudSQAAAAAwCFEQQwAaOHt3V+5V92sqIwsRWrrVfKvJ1Q9/wOZkYjV0QAAAHAI1H2yQtVzFkqSUs+aKE/PPhYnAgAAAAAcahTEAIBdOBOSlHPljYo9YoRkmqp6ZYFK73maKacBAAA6GP/Xm1X+xMuSpITjTlL8kSMtTgQAAAAAOBwoiAEAP2FzupR+7hSljZ8kORxqXLVeBb/9l6peeUcRf8DqeAAAADhIjWs2quTfT0mhsLz9Byv5lDOtjgQAAAAAOEwcVgcAALRdccOPkTsrRyVvvKbG7VtUPf991X20THHnnSbv8cNl2PicEQAAQHvTsHytSv/7vBQKK6ZnX6VPvIjf6wAAAACgE+EVIABgj6LSs5R9+fXKmDJdzsQkhatrVfHkKyq84141rt1odTwAAADsh/rPVqr0/ue+HTk8SJkXXS6b02V1LAAAAADAYcQIYgDAXhmGIV//wfL27q+qpUtU/tECNeUVqeSfjyt6SF8lTB4nZ2aq1TEBAACwB7UfLlPFU69KpinfkCOVfu5kGXa71bEAAAAAAIcZBTEAYJ8ZDocSRo1W7NAjVb7oHVUtW6LGVevV+NUG+U4+RvHnj5XNHWV1TAAAAPxIzbtLVPncfElS3FGjlHrmeUwrDQAAAACdFK8GAQD7zR7jUeq4Cep6/f/I03eAFImoduEnKvzjPfJ/s9XqeAAAAPiB6vkftJTDCaNOVOpZEymHAQAAAKAT4xUhAOCAuZJTlXXRFcq65Go54hIUKq1Q8d8fUeULb8oMNlkdDwAAoFMzTVOVL7+tqlcWSJKSThqr5LFnyzAMi5MBAAAAAKxEQQwAOGienn2Ue/2vFTtshGSaqnn7IxX++X4Ft+dbHQ0AAKBTMiMRVT4/XzWvL5IkJZ92tpJOGks5DAAAAACgIAYAtA67O1rpE6Yo86LLZfd41ZRfrMK/PKCqee/JDIetjgcAANBpmKapiqfnqvbdTyRJqWdNVOJxJ1mcCgAAAADQVlAQAwBalbfvQOXe8D/y9h8khSOqfvVdFf3tITUVllodDQAAoMMzTVOVL7yhukWfS4ah9PMuVPyIY62OBQAAAABoQyiIAQCtzuHxKmPydKVPvEhGtFvBLXkqvONe1by7RGYkYnU8AACADqt6zkLVLlgsSUobP0mxQ4+yOBEAAAAAoK2hIAYAHBKGYSh2yJHqet2tiuneW2awSZXPzVfJPx9XqLzK6ngAAAAdTvVbH6l67nuSpJRxExR3xNEWJwIAAAAAtEUUxACAQ8oZl6CsS65S6pnnyXA55f96swr+8G/VLf5SpmlaHQ8AAKBDqH3/M1W9+KYkKfmUcUo45niLEwEAAAAA2ioKYgDAIWfYbIo/+jjlXnOL3Nm5MhsDKn9stkrve0bhmjqr4wEAALRrdUuWq+LpOZKkxOPHKPGEU6wNBAAAAABo0yiIAQCHjSs5VTlX3KDkU8ZJdrsal69TwW3/VsOXa62OBgAA0C7VL/tK5Y/NliTFH32ckk4ZZ3EiAAAAAEBbR0EMADisDLtdiSecotyrb5IrLUOR2nqV3veMKp6Zq0hjwOp4AAAA7Ubth0tV9tALkmkqdtgIpZxxrgzDsDoWAAAAAKCNoyAGAFgiKj1LXa7+leK/XR+v9r1PVXDb3WpYsc7iZAAAAG2b2RRS+ZOvquLJV6VwWL5Bw5Q2fpIMGy/xAQAAAAB757A6AACg87I5HEodN0GePgNUMm+2mirKVXrP04o5cpASLj5bjvhYqyMCAAC0KaHyKpU+8JyCW/Ikw1DymDOUcNzJlMMAAAAAgH1GQQwAsJynR2/lXn+ryhe9o8pPFqnhi6/UuHajEiafIe8JR/GGJwAAgCT/15tV+t/nFamtl80TrYzzpsnTq6/VsQAAAAAA7QwFMQCgTbC5XEo57Sz5Bg1T8dyXFCjIU8VTr6n+kxVKmn6enJmpVkcEAACwhGmaql2wWJUvvSVFIopKz1LmhdPlTEiyOhoAAAAAoB1iSBYAoE1xZ2Spy1W/VMrp42VEuRTYsE0Ft9+jqjkLZTaFrI4HAABwWEUCQZU9OEuVL7whRSLyDTlSOVfeSDkMAAAAADhgjCAGALQ5hs2mhFGj5e0/SCXzX1H9xq9VPWehGpauVuL08+Tu3dXqiAAAAIdcU3GZSu97Rk07iyW7TSmnj1f8iONkGIbV0QAAAAAA7RgjiAEAbZYzPlGZF1+pjAumye7xqqmgRMV3PqTyp15TpL7R6ngAAACHjH/9FhX95b9q2lksu9ennOnXKeHo4ymHAQAAAAAHjRHEAIA2zTAM+QYNU0yP3ip993XVfPm56hZ9rsaV65Qw9RzFHDmQN0oBAECHUvfxFyp/6jUpHJY7q4syL7xMjtg4q2MBAAAAADoICmIAQLtgj/EoffxkxQ4eruJ5s9VUXqqyB55T9BH9lXT5+bJ7Y6yOCAAAcFDMSERVLy9QzZsfSpK8A4cqfcIU2Zwui5MBAAAAADoSppgGALQrMd16Kve6Xytx9KmS3abG5etU9Of7FcwrtDoaAADAAYsEgiq9/9mWcjhx9KnKOP9iymEAAAAAQKujIAYAtDs2p1PJY85Ql6t+JWdCokKlFSr6639V/9kqq6MBAADst1BltYrvfEiNy9dJDrvSJ05V8pgzZNh4yQ4AAAAAaH282gQAtFvujCx1ufpXiunRR2awSWUPzVLlC2/KDIetjgYAALBPAtt2qujPDyi4vUA2n0c5l16n2CHDrY4FAAAAAOjAKIgBAO2aPcajrGkzlHD8yZKkmrc/UsldTypcW29xMgAAgD1r+HKNiu98WOGqGrlS0pR75U2Kzu1mdSwAAAAAQAdHQQwAaPcMm00pp56ljEmXyIhyyb9ukwr/dJ+C2/OtjgYAAPATpmmq+o1FKr3vWZnBJsX07KOcGb+QMyHJ6mgAAAAAgE6AghgA0GH4Bg5Vlyt/KWdiksLlVSr6fw+q9sOlMiMRq6MBAABIkiKBoMoff1lVs9+WJMWNOFZZU6+U3R1tcTIAAAAAQGdBQQwA6FCi0jKa1yXu1VdmU0gVT76qwjvuU+NXG2SaptXxAABAJxbYtEOFd9yr+sVfSoahlDMnKO2siTLsdqujAQAAAAA6EYfVAQAAaG326BhlTb1SlZ98qPKP31VTXqFK7npC7v49FT/pDEV1zbI6IgAA6ETMppCq5i5UzRsfSqYpuy9W6RMulKdnH6ujAQAAAAA6IQpiAECHZNhsSjzuJMUdMULlHy5U1bLF8q/bpKI/3aeYY4YofuJYOVMSrY4JAAA6uOD2fJU9NltNeUWSJN+Q4UodN0H26BiLkwEAAAAAOisKYgBAh2aP8Sj1jPFKOOZ4lb33pmpXL1fDZ6vUsGyNfKeMVPyEU2VzR1kdEwAAdDCRQFDVc99TzdsfS5GIbD6P0s68QL7+g62OBgAAAADo5CiIAQCdgjMhURnnX6yEY09U2Tuvq2HzBtUuWKzG5euUNGOS3L27Wh0RAAB0EI1rNqhi5hyFSiskSd4BQ5R65nlyeH0WJwMAAAAAgIIYANDJuDOylX3pNarf+LWK581WqLRCxf/7sGLPOEHxE06V4eS/RgAAcGDCNXWqnPWG6j9dIUlyxMUr9cyJ8vYdYHEyAAAAAAC+x7vgAIBOydOrn3Kvv1Wlb81RzYplqnnzQzWuXq/kGZPlys20Oh4AAGhHTNNU/SfLVTnrDUXqGiTDUPzRxyl5zBmyRbmtjgcAAAAAwC4oiAEAnZbdHa30CRfK23eQiue9pKadxSr8ywOKP/cUxY47QYbdbnVEAADQxjWVlKti5mvyr90kSXKlZSht/CRFZ+danAwAAAAAgJ9HQQwA6PS8/QbKnZOrkvkvq+7rr1T1ygI1rPxayTMmyZmebHU8AADQBpmhsGreWazqOQtlBptkOB1KOnGsEkadyIfMAAAAAABtGgUxAACSHF6fMqZMV+2qL1T81qsKbt6hwtvvUcKkcfKefLQMm83qiAAAoI0IbMlT+ZOvqimvUJIU072XUs8+X66kFIuTAQAAAACwdxTEAAB8yzAMxQ49StFde6p4zgtq2LJRFc/OVcOKdUq64nw5EuOsjggAACwU8QdU9eo7qn33E8k0ZfPEKOW08YodeqQMw7A6HgAAAAAA+4SCGACAH3HGJyjrkqtVtXSJyha+Lv/ajSq47d9KnDZenpFDeQMYAIBOqGHlelU8M0fh8ipJkm/wEUo541w5PF5rgwEAAAAAsJ8oiAEA+BmGzaaEY46Xp2cfFb36vPw7d6j8kRfV+OUaJV46QfZY3gwGAKAzaCosVeXLb6vxy7WSJEd8otLOPl+eXn0tTgYAAAAAwIGhIAYAYA9cyanKueJGVSx+X+WLFqjhy7Xyb9yupMvOU8yw/lbHAwAAh0ioqkbVc95T3UfLpEhEMgwljBqtpJPGyuaKsjoeAAAAAAAHjIIYAIC9MOx2JY0+VZ7e/VT0yvMKlhSp9J6nlThtvHxjRlodDwAAtKJIY0A1b32omrc/lhlskiR5+gxQ8qlnKio13eJ0AAAAAAAcPApiAAD2kTsjW12u/pXK3pmvqs8Xq+KZuQpX1yrunDEyHHar4wEAgIMQ8QdU+/5nqnnrI0Vq6yVJ7uwuSj7tHMV07W5xOgAAAAAAWg8FMQAA+8HmdCpl3AQZdrsqP/lQ1fPeV+Oq9UqaMUmubEYVAQDQ3kQaA6p971PVLPi4pRh2JqUo+ZRx8vYfLMMwLE4IAAAAAEDroiAGAGA/GYahlNPHy53VRcVvvqLg9gIV/uk+xZ93mmJPP16GzWZ1RAAAsBeRRr9qF36qmrc/VqS+QZLkTExW4uhTFTv4CBl2ZgcBAAAAAHRMFMQAABwg36Bhiu7aQ8VzX1L9hnWqeuktNa5Yp6QrL5AzLdnqeAAA4GdEGvyqWbhEtQsWK1LfKKl5xHDS6FPlGzSMYhgAAAAA0OFREAMAcBAcvlhlTr1CNSuWquTtOQps3K7CP96jhMnj5D35GKalBACgjQjXNaj2vU+ai+EGvyTJmZz6fTHMDCAAAAAAgE6CghgAgINkGIbijjhaMd16qWjOC2rcukkVz8xVw/J1Srp8ohxJ8VZHBACgUzJDITV+tUH1S5arYeXXUigsSXKlpClx9KnyDRxKMQwAAAAA6HQoiAEAaCXOhERlX3qNqpYuVtm7r8u/dqMK/vBvJU49R55jj2A0MQAAh4Fpmgpu3an6JctV//kqReoaWu6LSs9U4vFj5B0whGIYAAAAANBpURADANCKDJtNCcecIE/Pvip69Xn5d+5Q+WOz1fDlWiVNnyB7nM/qiAAAdEih8irVf7pCdUuWK1RY2nK73etT7ODhih06XFHpWRYmBAAAAACgbaAgBgDgEHAlpyrnihtVueQDlX2wQI0r1qlg03YlXnKuPEcNsjoeAAAdQqQxoIYvvlLdJ8sVWL9VMk1JkuFyyttnoGKHHqmY7r1l2O0WJwUAAAAAoO2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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "for index in range(0, len(keys), 10):\n", " fig, ax = plt.subplots(1, 1, figsize=(24, 20))\n", @@ -53665,61 +84277,10 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "id": "1cab8780", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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", 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", 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "ret = disk_basis.orthoCheck()\n", "ctr = 0\n", @@ -53742,7 +84303,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "id": "703c3ed4", "metadata": {}, "outputs": [], @@ -53756,21 +84317,10 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "id": "3be8eea0", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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p2ay3ZjJ0WCwWgICP3tW/FSIiIiIiIkGmchAZSgbq76sSFiIiIiIiIiIy6ChhISIiIiIiIiKDjhIWIiIiIiIiIjLoKGEhIiIiIiIiIoOOEhYiIiIiIiIiMugoYSEiIiIiIiJyjnjjjTe49tprGTlyJGFhYSQnJzN37lweeeQR6urqgh2eT6zBDkBEREQ6s7fa2Vm+k9iQWEbFjSLCFhHskERERGQQq6+v55vf/CZvvPFGh++Xl5dTXl7Ohx9+yB/+8AdeeuklZs+eHaQofaOEhYiIyCBSUl/Cs/uf5ZXDr9DgaADAhInM6EymJk/lB9N+QGpkapCjFBERkcHE6XRy7bXXsmLFCgBSUlJYvnw5EydOpKqqihdeeIFNmzZRWFjI0qVL2bRpExMmTAhy1D1TwkJERGQQqG2p5Tcf/4Y3j76J0+0EIDk8GafbSWVzJQX2AgrsBWwo2sD/XPI/TEueFuSIRUREZLB46qmnvMmKiRMnsnr1alJSUrzP33LLLdx222389re/pbq6mu9+97usX78+WOH2msntdruDHYQER11dHbGxsdTW1hITExPscEREPrfqWuv4j5X/wd7KvQBcOPxC8nLymJc2D5PJRGVTJXsr9/LYp4+xv2o/NrONB+c9yJXnXRnkyEVEpL+am5vJz88nOzubsLCwYIcjQ5DT6SQzM5OTJ08C8MknnzB9+vQur5sxYwY7duwA4L333mPJkiV9umd//t768j5UTTdFRESCqL61nptW3cTeyr3Ehcbx18v/ylNLnmJ++nxMJhMACeEJXJxxMc9c/gyLshbhcDm4Y8Md/GXXX4IcvYiIyLln7dq1mEwmTCYT9913HwAlJSXcdddd5OTkEBUVRUxMDNOmTeOBBx7AbrcHNd7169d7kxW5ubldJisALBYLt956q/frF154YUDi6w8lLERERIKk0dHIzR/czK6KXcSGxvLUkqeYntL1iwyACFsEv1vwO/Jy8gD4w6d/YMXxFQMUrYiIyOfTypUrmTRpEg899BD79u2joaEBu93Ojh07uPfee5kxYwbFxcVBi+/dd9/1Pl66dGm3115xxRVdrhuslLAQEREJArfbzW3rbuPTsk+JDonmL4v/wrhh43pcZzaZ+c8Z/8l3Jn0HgAc/fJDKpspAhysiIvK5tGPHDq655hrq6+vJy8vjqaee4sUXX+SBBx4gNdVogn3o0CFuuOGGoMW4e/du7+OZM2d2e21qaiqZmZkAlJaWUl5eHtDY+ktNN0VERILglcOvsKF4AyHmEP586Z+ZmDDRp/U3T72ZTcWb2F+1n0c+foRfXfSrAEUqIiLy+fX666+TlpbGypUrycnJ6fDc8uXLmTlzJkVFRaxatYrt27d3KscoKChg+/btfoklMTGR+fPnd/r+wYMHvY+zs7N73Cc7O5vCwkLv2qSkJL/EFwhKWIiIiAywkvoSHvn4EQBunX4rk5Im+byHzWzj3jn38o13vsHbx97mi6O+yNy0uf4OVUREBhG3202TwxnsMIIm3Gbx9ncaSM8++2ynZAUYpxXuvvtubrrpJsAosfhswmL16tV+O32Rm5vL2rVrO32/pqbG+zgxMbHHfRISErpcOxgpYSEiIjKA3G4392y+hwZHA1OTpvKtCd/q8145iTl8ffzXeW7/c/x8y8955YuvEGZVh3kRkXNVk8PJxHveC3YYQbPvgcuICBnYt7BTp05l4cKFZ31+8eLF3sd79uwZiJA6qa+v9z7uzcSO8PBw7+NgNwztiXpYiIiIDKB/HvonW09uJcwSxoPzHsRitvRrvx9M+wHJEckU2gv5864/+ylKERERAZgzZ063z2dkZHgfV1dXd3o+Ly8Pt9vtlz9dna441+mEhYiIyAApshfxm49/A8APp/+QkbEj+71npC2Suy68ix+t+RHP7HmGL4z6AufFntfvfUVEZPAJt1nY98BlwQ4jaMJt/Uvy90VPJRahoaHex83NzYEOp0tRUVHeZElzczNRUVHdXt/U1OR9HB0dHdDY+ksJCxERkQHym49/Q1NbE9OTp/ONCd/w276LshZxccbFrC9az9/2/o375t7nt71FRGTwMJlMA14S8XlnNg/+ooS4uDhvwqKioqLHhEVl5enpYnFxcYEMrd/0t11ERGQA7K3cywcFH2A2mblnzj2YTf59AXTj+Teyvmg9bx17ix9N/xFxYXF+3V9ERER8NxBTQsaNG0d+fj4A+fn5jBw5stt9PNd61g5mSliIiIgMgMc+fQyAK7OvZFTcKL/vPz15OhOGTWB/1X7+dfhffGfSd/x+DxEREfHNQEwJmTRpEitWrABg27Zt3TYJLS0t9Y40TU5OHtQjTUFNN0VERALu07JP2Vi8EYvJwk1TbgrIPUwmE9+aaEwc+ceBf+BwOQJyHxERERlcLr/8cu/jd999t9tr33nnHe/jpUuXBiwmf1HCQkREJIDcbjd/+PQPAHxp9JfIjMkM2L0uH3k5CWEJlDaW8sGJDwJ2HxEREemdgZgSkpubS2pqKgBr1649awmK0+nk0Ucf9X593XXX+f3n9TclLERERAKk+dAhtj/1a6q2f0QIVr47+bsBvV+IJYSvjvsqAM/ufzag9xIREZHBwWKxcM8993i/vv766ykrK+t03R133MGOHTsAmDdvHpddNvgnzqiHhYiIiJ81HzpExWN/xL5yJRHAQ0BrpAXXzkewf/GLRC9YELB7f3XcV3ly95PsLN/J7vLdTEqaFLB7iYiIyOCwfPlyXn31VVatWsXevXuZMmUKy5cvZ+LEiVRVVfHCCy+wceNGwJgM8uc//znIEfeOTliIiIj4iaupieKf3E7+si9hX7kSgENp0BgKIQ2t1L3zLkXfu4mq558PWAyJ4YlcMfIKQKcsREREPi+sVisvv/wyV111FQCnTp3iwQcf5Otf/zq33HKLN1mRkZHB22+/TU5OTjDD7TUlLERERPzA7XRScvvt1L35JrjdRF92GS//10X87NtW3nzsK4x4/jliv/JlAEof/Dl1760MWCzfnPhNAFYeX0llU2UPV4uIiMi5IDo6mjfffJPXXnuNa665hszMTEJDQ0lMTOTCCy/k4YcfZs+ePcydOzfYofaaSkJERET8oOzXj2Bf9T4mm43MJ/9C7flZ/PMV46TDN87/NyLixxI+bRrmkBCqn3+Bkttvx5qURMT0aX6PJSchh5yEHPZW7mV14WquHXut3+8hIiJyrlqwYAFut7vX1/ty7UBYtmwZy5YtC3YYfqETFiIiIv1U9fdnqfrrXwEY/quHiJw9m38c+Acut4sLh1/I2PixgDF6NOWuu4hauBB3SwtFN99MS35+QGK6dMSlALx/4v2A7C8iIiISaEpYiIiI9IN99WpKH3oIgKQf/5jYK6+k0dHIvw7/C4B/m/BvHa43Wa2k//Y3hJ1/Ps6aGop/+CPcTqff41o8YjEAH538iNqWWr/vLyIiIhJoSliIiIj0kaO0jJLbfgIuF3Ff/SoJy78DwBtH38DeaicrOouLMi7qtM4cEUHmE3/CHBNDy6FD2N97z++xjYgZwZj4MbS521hbuNbv+4uIiIgEmhIWIiIifVT++9/jamwkbMpkUu/5L0wmEy63i+f2PwfANyd8E7Op61+11sREhn37emOfxx8PyCmLS7Pay0IKVBYiIiIiQ48SFiIiIn3QtHsPta++CkDqXXdhshp9rDcWb+R43XGibdF8afSXut1j2PXXY46JofXIUeyr/J9U8PSx2Fy8mQZHg9/3FxEREQkkJSxERER85Ha7vX0rYr74BcKnTPE+9/z+5wG4Zsw1RNgiut3HEh3NsG99C4CKP//Z713Gx8SNYUTMCFpdrWwo2uDXvUVEREQCTQkLERERH9lXrKBp+3ZM4eEk//jH3u+frD/J5pLNAHxt/Nd6tVf8v30LU0QELfv3U79unV/jNJlM3rKQVSdW+XVvERERkUBTwkJERMQHruZmSh95BICE7/w7ttRU73OvH30dN25mpc4iMzqzV/tZ4+OJv+46ACr/9ITfT1l4poVsKN5Ac1uzX/cWERERCSQlLERERHxQ/Y9/0FZyEuvw4STceKP3+y63i9eOvAbA1WOu9mnPhBvyMIWE0LRzJ41bt/ozXCYmTGR45HCa2pq8pz9EREREhgIlLERERHrJ7XBQ9de/AZB40/cwh4d7n9t2ahvF9cVE26K9ZRi9ZU1KIu4rXwHw7u8vJpOJRVmLAHj/hKaFiIiIyNChhIWIiEgv1a14j7aTJ7EkJBC7bFmH5149YkwMuSL7CsKsYT7vHf91oyykYeNGnHV1/Q/2DJ6ykLWFa3E4HX7dW0RERCRQlLAQERHpBbfbTeXTT+M027B+JQ+3xeZ9rq61znt6wddyEI/QMWMIGTUKt8OBffVqv8TsMTV5Konhidgddj469ZFf9xYREREJFCUsREREeqHxww8pKrfx4ez7effgefzlR+t46ZfbWPPsAd7csooWZwuj40aTk5DT53vEXH45APYV7/krbADMJjO5GbkAfFjyoV/3FhEREQkUJSxERER60FDbwnvPHGL3+d+lNSQWk9mEq81NeYGdfRtLqPpHNCn2kVw9+mpMJlOf7xNz+WXG/TZt8ntZyKzUWQA6YSEiIiJDhjXYAYiIiAxmBXsree8vu2g1Z2FyO5kyL4kLr5tEQ20rFYV2tr5/mOpjcPmB77Dg6ln9upenLKT16FHq16zp1CejP2YNN2I7UHWAmuYa4sLi/La3iIiISCDohIWIiMhZ2KuaWfm/e2ltcRNtP0Fu2EbmXT8Va4iF2KRwRk1Ppjx3OxURRYS3RbPpfwtoaWrr1z2jlxgNMu3vf+CPH8ErMTyR0XGjceNmW+k2v+4tIiIiEghKWIiIiHTB5XLzwTP7aGlsI9pewAXbf8t53/lKx2vcLt4pfIt3x/8FS5SbqpIGVj61B5fT1ef7Rl9qjESt37gRV3Nzv36Gz/KUhWw9udWv+4qIiIgEghIWIiIiXfh05QmKD9VgNbvI2fc0kdOmED5pUodrdpTtoKShBHekg6tunoLVZqZgbxU7Vxf1+b5hEydiTRuOu6mJhk2b+vtjdOApC1EfCxERERkKlLAQERH5jFP5tWx9Ix+A8adWENFUTty113a67p38dwC4dMSlZJyXyPyvjgGMZIej1dmne5tMJqIXGacs/F0WMjN1JmaTmfzafEobSv26t4iIiIi/KWEhIiJyhtbmNlY9vQ+3y83IbCtJ+97GHBlJzGVLOlzncDl477gxfvTK7CsBGD93ODGJYTTZHRzYfLLPMUQvWgRA/Zo1uNv61xPjTDEhMUwYNgHQKQsREREZ/JSwEBEROcP2FSeoK28ialgoOZXvYQJili7FHBHR4boPSz6kpqWGYWHDvKUWFouZKYsyAdi1pgi3y92nGCJmXIAlNhZnTQ2Nn2zv18/zWSoLERERkaFCCQsREZF2zfUOdq0x+k/M+0ImzSuNko+4r3y507VvHXsLgCuyr8BqPj0lfPyc4YSEW6kpbeTE3so+xWGyWolauBAA+/vv92mPs7kw9ULAaLzpdvctoSIiIiKDi9PpZM+ePTzzzDP84Ac/YM6cOURERGAymTCZTOTl5QU7xD5RwkJERKTdjvcLcLQ4ScyMYtjxD3E3NxMyehRhkyd3uK7R0cjawrXA6XIQj5AwKxPnpwGw84PCPscSvbh9Wsjq1X3eoyvTkqdhNVs52XCSInvfm4OKiIjI4PHVr36VSZMmccMNN/DYY4+xZcsWmpqagh1WvylhISIiQsfTFTOvzKb2lZcBiPvyVzCZTB2uXV+0nqa2JjKiMjg/8fxOe01akI7JBEUHqqksru9TPJGzZ4PFgqO4GEdxcZ/26EqELYLJiUYCZuspjTcVERE5FzidHZt9Dxs2jDFjxgQpGv9RwsJHb7zxBtdeey0jR44kLCyM5ORk5s6dyyOPPEJdXZ3f7rNt2zb++Mc/kpeXx8yZMxk5ciRRUVGEhoaSkpLCggULuP/++zlx4oTf7iki8nm244PTpyuGh1XRvHs3WK3EfvELna5deWIlAEtGLumUzACISQjnvGnJQN9PWZgjIwnLyQGg8eOP+7TH2Vw43CgL+eik+liIiIicC2bNmsUdd9zBP//5T44dO0ZlZSV33XVXsMPqN2vPlwhAfX093/zmN3njjTc6fL+8vJzy8nI+/PBD/vCHP/DSSy8xe/bsft9v4cKFNDQ0dPlcWVkZZWVlrFu3joceeoh7772XO++8s9/3FBH5vDrzdMUFV2Rx/Pk/4jCbGbZwIdaEhA7XNjoa2VC0ATASFmczZVEmR7eXceijUmZ/aRQRMSE+xxUxYwbNu3bR+PEnxC5b5vP6s5mVOos/7fwTW08ZfSy6SrqIiIjI0HEuJCe6ohMWveB0Orn22mu9yYqUlBR+9rOf8fzzz/PYY48xb948AAoLC1m6dCn79+/3y32Tk5O56qqruPvuu3nqqaf45z//yfPPP88vf/lL7z1bWlq46667eOCBB/xyTxGRz6MdHxTQ2tRGZEwJG597gHcOfsrqiSPYlRhFZVFBh2s3FG+g2dlMelQ6E4dNPOueqefFkJQVjbPNxbEd5X2KK2LGDMD/JywmJ00mzBJGVXMVR2qO+HVvERGRoW7t2rXeZpX33XcfACUlJdx1113k5OQQFRVFTEwM06ZN44EHHsButwc34HOYTlj0wlNPPcWKFSsAmDhxIqtXryYlJcX7/C233MJtt93Gb3/7W6qrq/nud7/L+vXr+3XPLVu2kJOTc9ZPve68807+9re/kZeXh9vt5sEHH+Q73/kOaWlp/bqviMjnTVurk53v78BR/z6VNUb5hsntxmkxs3/fLvb/581kTZrK5Tf9iOiERFYe774cxMNkMnHetCTKC+wc313B+Ren+xxbxAXTwWSiNT+ftooKrImJffshPyPEEsL0lOlsLtnMR6c+Ykz80K9xFRERCZSVK1fy9a9/naqqqg7f37FjBzt27OC5555j9erVpKf7/rteuqcTFj1wOp3cf//93q///ve/d0hWeDz88MNMnToVgA0bNrBy5cp+3ff888/v8Yju9ddfz1VXXQVAW1ubN6kiIiK9t/WNzdSX/Q1XWyEWm40J8clcuvc4izJGM3rmHEwmMwW7d7Di8d8Z5SDFRjnIZSMu63Hv7MlGgqHoQDWOVmcPV3dmiY0ldOxYABo//sTn9d2ZmToTgE9K/buviIjIuWTHjh1cc8011NfXk5eXx1NPPcWLL77IAw88QGpqKgCHDh3ihhtuCHKk5yadsOjB+vXrOXnyJAC5ublMnz69y+ssFgu33norN954IwAvvPACS5acvbbZX3JycnjzzTcBOHXqVMDvJyJyLmmy17HttT8BTuLTxnHNf/6I0i9fi8vpIuvarzN19oVUFJ7gubt+TMGeXbzx2l9oamsyykESzl4O4jEsLZLoYWHYq5op2l9F9pQkn2OMuOACWg4epPHjj4m5vOckSW9NSZoCwM7ynX7bU0RE5Fzz+uuvk5aWxsqVK8lpb4btsXz5cmbOnElRURGrVq1i+/btnd4vFhQUsH37dr/EkpiYyPz58/2y11ChhEUP3n33Xe/jpUuXdnvtFVdc0eW6QDpy5HTtsSfDJyIiPXO73bzx29/gdNRhMsdzzZ33YNmzHVdtLdakJCJmGv0jEjNHMPer32T9s09T+OZqwuebWZLTfTmIh8lkYuTkRHavLeL4nsq+JSxmzqD6+ef93sciJyEHi8lCWWMZpxpOkRqp3yEiIoOe2w2OxmBHETy2CAhCo+hnn322U7ICjPdfd999NzfddBNgvAf8bMJi9erVfjt9kZuby9q1a/2y11ChhEUPdu/e7X08c+bMbq9NTU0lMzOTwsJCSktLKS8vJynJ9xenvfXmm2/y6quvAhAWFsaVV14ZsHuJiJxrtr/zBkX7twMWRs26nrjkWIrfeguAmKVXYLJYvNdesHQZ+zeuofx4PrP2DmPJNb0/QZeVM4zda4so3FvVp4kc4RdcAEDLwYM4a2uxxMb6tP5sImwRjI0fy/6q/ews36mEhYjIUOBohF9+jnvW3VUCIZEDesupU6eycOHCsz6/ePFi7+M9e/YMREifK0pY9ODgwYPex9nZ2T1en52dTWFhoXetPxIW69ev9zZ4aW1tpbCwkJUrV3r7ZFitVp544okue2uIiEhnp44eZv1z/weANTyXmV+YiauhAfuaNQDEtPcH8jBbLMQtm03po8fIPhVJaL4detn/Mn1sPBarGXtVMzWljcSn+vZCy5acTMiIEbSeOEHj9u1Ed/OiyVeTkyazv2o/u8p3cdlI/5WbiIiInCvmzJnT7fMZGRnex9XV1Z2ez8vLIy8vz99hfW4oYdGDmpoa7+PEXnRnT0hI6HJtf9x+++1s3bq10/dNJhO5ubncf//9XHzxxX65l4jIuc7tdrP66SdwOdsw28aQlD2X4aNiqXvrbdxNTdiysgg7//xO6zY6dlKWXcekY7Gs/t8/kZUzhdCIiB7vZwu1MHx0LEUHqinYW+VzwgIgfOYMI2Hx8cd+TVhMSZrCiwdfZFf5Lr/tKSIiAWSLME4ZfF7Zev696289vQcMDQ31Pm5ubg50OJ87Slj0oL6+3vs4LCysx+vDw8O9jwM9jzc9PZ3FixczZkzvxtG1tLTQ0tLi/bquri5QoYmIDFrHtm/j5JGDmEw2bBGXMCk3A5PJRF37pKWYK5d2KttobmtmbdFaWsc0M6sum/qKKg5uXs/kSy/v1T2zchKMhMW+SqYsyvQ55ogZM6j918t+72MxOWkyAPsq9+FwOrBZbH7dX0RE/MxkGvCSiM87s1mDNYNJCYshYMuWLd7HDQ0NHDlyhDfeeIPf/va33H333fzud7/jH//4B5deemm3+zz00EMdRrSKiHzeuF0uNr30LADmkKnYwmMYd2EqroYGGjZuBCDmss6lEZtKNtHU1sTwmOHMWPJFNjz/DPs3rvUhYTGMzS9D8aEa2lqdWEMsPS86Q8QMo4dS8959uBoaMEf658VqVnQWcaFx1LTUcKDqAJOSJvllXxERETFoSkj/KGHRg6ioKG8tUnNzM1FRUd1e39TU5H0cHR3t93giIyOZMmUKU6ZM4Vvf+hbz58+npKSEK6+8ko8//phJk87+YvPOO+/kxz/+sffruro6MjN9/6RPRGSoOrR1M+XHj2G2hmINm8HoC5IJCbdS9+4q3C0t2LKyCB03rtO61QWrAViUtYjx5+Wy4flnKNq/h7qKcmISe+5VNGx4JJFxoTTUtFBypIasiQk9rjmTLT0N6/DhtJ08SdPOnUTOnevT+rMxmUxMTprM+qL17KrYpYSFiIiIn2lKSP/ofEsP4uLivI8rKip6vL6ysrLLtYGQnZ3Nr371K8BoxvmLX/yi2+tDQ0OJiYnp8EdE5PPC5XKyuf10hTXsAkzmcMZdaEzGqGtvYhyzZHGncpA2Vxvri9YDcEnWJcQkJpExwehxcWDTul7d22QykZUzDICCvVU+x24ymYiYYYxZbfz4E5/Xd2dyolEWsrNsp1/3FREREekvJSx6MO6MT9ry8/N7vP7Ma8Z18Smdv11xxRXex5+3bJuIiC8ObFxHVUkRtrBITNZpRMWHkj4mDldzM/XrjIRE9JLO40p3lu+kpqWGmJAYpiVPA2DC/AXGnr1MWADeUxUF+3xPWABEtI83bfTTsVKPKclTANhVocabIiIi/paXl4fb7fbLn8/j+z0lLHpwZonFtm3bur22tLTUO9I0OTnZLyNNe3Jm2UlXY3RERAScbW1s/tfzAMQNn4/JFMrYWSmYzCYaNm3C3diIdfhwwrooq1tTYIw6vTjjYqxmo5JyzOx5mC1Wyk/kU1F4olcxZIyPx2SC6pMN2Kt87yIeNsk41dG8bx9ut9vn9WdzfsL5mDBRXF9MRVPPJwlFREREBop6WPTg8ssv55FHHgHg3Xff5fbbbz/rte+884738dKlSwMeG8Dhw4e9jwciQSIiMhTt37iW2tJThMfEUl9rnH4b6ykHee89oOtyELfbzZpCI2GxMPP0ONHwqGiyp13A0Y+3cmDTOuZfd32PMYRF2kjJjuXUsVoK9laSc1G6Tz9D6JgxYLPhqqvDUVxMyBlz3/sjKiSKUXGjOFJzhJ3lO1mUtcgv+4qIiMjAyc/P53//9387fG/XrtOnJz/99FN+9rOfdXj+kksu4ZJLLhmQ+PpKCYse5ObmkpqayqlTp1i7di3bt29n+vTpna5zOp08+uij3q+vu+66AYnviSee8D6eN2/egNxTRGSo2fHe2wBkTLyEwoNWEjOjSEiLwt3aSv2atUDX5SDHao9RYC/AZrYxL73jf2MnzF/A0Y+3sn/jOuZ97d86JTu6kjE+nlPHajl1rNbnhIU5JITQMaNp2bef5r37/JawAJiSNIUjNUfYVb5LCQsREZEh6MSJE932NNy1a1eHBAaA1Wod9AkLlYT0wGKxcM8993i/vv766ykrK+t03R133MGOHTsAI3FwWRdj8QCeeeYZTCYTJpOJBQsWdHnNE088wZo1a7o98ut0OvnVr37F448/7v3ezTff3IufSETk8+XU0cOUHjuMxWqlqWE0gLfZZsOWLbjsdixJiYRPm9Zpred0xazhs4i0dRwlet70mdjCwqkrL6Xk0IFexZI80mh2XHbC3qefJWziRMAoC/GnKUntfSzK1cdCREREBg+dsOiF5cuX8+qrr7Jq1Sr27t3LlClTWL58ORMnTqSqqooXXniBjRs3AsZkkD//+c/9ut+WLVu46aabyMzMZPHixUyaNInk5GRCQkKoqalhz549vP766xw/fty75s477yQ3N7df9xURORftXPUuACOnzqb4qBOTCcbMTAFOTweJvvRSTObOOXxPwuKSzM6fPthCwxgzaw771q/mwKa1pI+b0GMsySOMvkNVJxtobW4jJMy3X8NhEydSy8sBS1jsrdxLm6vN26tDRETk82jBggU+9YvyZ2+pvvI15qFCr0h6wWq18vLLL/ONb3yDt956i1OnTvHggw92ui4jI4MXX3yRnJwcv9y3sLCQp59+uttrYmNjeeihh7jpppv8ck8RkXNJc0O9d5JHZMIMOAqZE4YRGRuKu62N+vc/ACCmi3KQiqYKdpfvBmBB5oIu958wL5d961dzcPMGFn77PzBbLN3GExkbSlR8KPXVLZQX2EkfG+/TzxPe/vulee9e3G53r8pQemNk7EiibdHYHXYOVx9mQkLPyRcRERGRQFNJSC9FR0fz5ptv8tprr3HNNdeQmZlJaGgoiYmJXHjhhTz88MPs2bOHuXPn9vtejz76KK+88go/+tGPyM3NJSMjg7CwMCwWC7GxsYwdO5avfOUrPPnkk5w4cULJChGRs9i3fjVtrS0kZo6grCAKgDGzjNMVjR9/jLOmBktcHBEzZ3Zau7ZwLW7cnJ9wPskRyV3unzVpKqGRkTTZ6yg7fqxXMaW0l4WUHq/z+ecJHTcOLBacVVW0dVGe2Fdmk5lJScaElN0Vu/22r4iIiEh/6ISFj5YtW8ayZcv6vD4vL4+8vLxur4mJieHqq6/m6quv7vN9REQ+79xut7ccZPSsRexY3YjZaiJ7ijFRyd5eDhK16BJM1s6/DtcWrgXOfroCwGyxkD5uIse2b6P4wF5SR43pMa7kkTEc/bScsj4kLMxhYYSedx4thw/TvG8ftpQUn/c4m4kJE9lcspn9Vfv9tqeIiIhIf+iEhYiInJOK9u2mqrgQW2gYJut4ALImDCM03Irb5cK+6n2g63KQRkcjW05uAWBh1sJOz58pfbxRplG0f2+v4vI23jw+uBpvjh9m/G90oLJ3DURFREREAk0JCxEROSd5TldMmL+AE3uM5MCo6UZpR9POnbSVl2OOiiJizpxOaz8s+ZAWZwvpUemMiev+1IQnYVF8cF+vml0lZ0WDCexVzTTWtfr0MwGE5XgSFv49CTFhmNG34nDNYdpcbX7dW0RERKQvlLAQEZFzTnNDPUc+Nk5IjJiaS1VJA2aLiewpiQDUrzamf0RdfDHmkJBO61cXrgZgYebCHhtbpo4ajdUWQlNdLVUlRT3GFhJuJT4lAqBPZSGBOmGREZ1BpC2SFmcL+bX5ft1bREREpC+UsBARkXPOoS2bcDocJGRkUVMWCRjTQUIjbADY1xgJiahLOo8rdbqcrC9aD8AlWZ2f/yyL1UbqmLEAFB/oXVmIt/HmiT403hxvnIRoO3mStqoqn9efjdlkZlz8OAAOVKksRERERIJPCQsRETnn7N9gnKCYePElHPu0HDhdDtJaWEjrkaNgsRB10fxOa3eU76CmpYaYkBimJU/r1f0yPGUhPvex8D1hYYmKJGTkSCAAZSHt40zVeFNEREQGAyUsRETknFJbVkrR/j1gMjF87Ewqiz9TDrLGSGZEzJiBJTa20/o1BcbzF2dcjNXcu2Fa3sabB3pXpnFm483e9L34rIA33tQJCxERERkElLAQEZFzyv6NawHInDiJ0nwXABnjhxEW2V4O4ulfsXBBp7Vut5s1hcbzCzO7nw5yprSx4zGZzNSVl2KvrOjx+sT0KMwWE80NDuoqmnt9H4/TjTf9m7DwNN48UHWgT4kUEREREX9SwkJERM4Zbrf7dDnIRQs58omnHCQJAGddHY0ffwxA9MLOCYn82nwK7AXYzDbmpc/r9X1DwiNIzj4PgKJe9LGw2MwkZkQBg6vx5nlx52Ez27C32imuL/br3iIiIiK+UsJCRETOGaXHjlBVUoTVFkJy9jQqi+sxm02cN9VIWNRv2ABtbYSMGkXIiBGd1numg8waPotIW6RP9073sY9Ffxpvhk0wTkI4Cgpw1vm+/mxsZhuj40YDKgsRERGR4FPCQkREzhn7NhgJh1EzZ1Owrx6AjPHx3nKQ+jVrAYheuKDL9Z5ykEsye54O8lnexpu9nBTSr8abcXHY0tMBaN7v38SCGm+KiIjIYKGEhYiInBNcLieHPtwIwIT5Czj6aRkAoy4wpoO4HQ7q1xvjSrsaZ1rRVMHu8t0ALMhc4PP908cbZRoVhSdoqrf3eL0nYVF+wo7L6fL5ft6ykL29S5D0lhpvioiIyGChhIWIiJwTig/so6GmmtDISBIyJ1BRWI/JBNmTjekgjds/xVVXhyU+nvApUzqtX1e4Djduzk84n+SIZJ/vHxEbR3xaBgAlB3vuLRGfEoEtzEKbw0XVyQaf7xc6fhwALYcP+7y2O97Gm5VKWIiIiEhwKWEhIiLnhENbjNMVo2fOoXBfLQCpo2IJjw4BTo8zjbr4YkwWS6f1nnKQvpyu8MhoP2VR1Is+FiaziaTMaAAqiup9vlfoKKPXRMuxoz6v7c7Y+LGYMFHWVEZlU6Vf9xYRERHxhRIWIiIy5LlcTg5t2QTAuNnzyd9ljBYd2X66wu12Y19j9Lfoqhyk0dHIlpNbAFiY1ftxpp+V7mMfi2FpRmPPqpI+nLAYZUwlaT1y1K8jSCNsEYyIMRqSqixEREREgkkJCxERGfKKD+yjsbaGsMgoUkfnUHywGoDzphjTQVrz83GcKMBksxE5r/O40g9LPqTF2UJ6VDpj4sb0OY60sUb/h/Lj+bhczh6vHzbcSFhU96EkJGTECLBYcDU00FZa6vP67njKQtR4U0RERIJJCQsRERnyDrY32xw1czZFB+twOd3EpUQQlxIBnC4HibjwQixRnceVespBFmYuxGQy9TmO2JRUrKGhtDlaqTl1ssfrPQmLvvSwMIWEEJKVBUDLUf+WhYxPUONNERERCT4lLEREZEhzuZwc3tpeDjLnIo63l4N4mm0C2Fe3969YuKDTeqfLyfoiY3rIwsy+l4MAmM0WEjONcoqKguM9Xu8pCamraMbR0vOJjM8KHT0KgFZ/Jyw0KUREREQGASUsRERkSCvev9dbDpI+YRIn9hiNIrOnGAmLtupqmj79FIDohZ0TEjvKd1DdUk1MSAzTU6b3O57EzJEAlPciYREeHUJYlA2A6lN9KAsZZSQsWo4e83ltdzwlISfqTtDg8D0uEREREX9QwkJERIY0TznI6FlzKD/eQEtjG2FRNlLOiwWgft06cLkIHT8eW1pap/VrCozTFxdnXIzVbO13PEkjRgK9O2EB/SsLCfUmLI74vLY78WHxpESkAHCw6qBf9xYRERH/s9vtvPzyy3z/+99n7ty5JCUlYbPZiImJYfz48Vx//fWsWLHCr426B0L/X5mJiIgEicvl5PBHm4H26SA726eDTErAbDZ6UdSvWQt0XQ7idrs79K/wB19OWIBRFlJyuKaPk0LaS0KO+LckBIxTFqWNpeyv2u+XkyciIiISGL/73e+4++67aW5u7vSc3W7n4MGDHDx4kL///e9cdNFFPPvss2S198Ea7JSwEBGRIatoX3s5SFQ0GTmT2fCvbQBkTzamg7haW2nYaJzAiO5inGl+bT4F9gJsZhvz0jtPD+mLxCyjh0Vt6SlamxoJCY/o9vp+TQrJzgaTCWdNDW1VVViHDfM94LMYnzCetUVrdcJCRERkkDt06JA3WZGens6ll17KBRdcQHJyMs3NzWzZsoVnn32W+vp6NmzYwIIFC9iyZQvJyclBjrxnKgkREZEh69CW9nKQmXOoLW+hrqIZi9VM5kTjjXvjR9twNTRgSUokLCen0/rVhasBmDV8FpG2ztND+iIiJpbIeOP+FYUFPV7fn5IQc3g4tvR0AFqO+LcsxDPe9UiNf/cVERER/zKZTCxZsoSVK1dSUFDAM888ww9+8AO+9rWv8e1vf5s//elP7Nmzh3HjxgGQn5/PHXfcEeSoe0cJCxERGZI6lIPMme+dDpIxIR5bqAU4Pc40esFCTObOv/I85SCXZHY+fdEfSVkjgYGZFBIy6jwAWo/5t/Hm6PjRABytOYrL7fLr3iIiIuI/v/jFL3jvvfdYvHgx5i5e7wCMGDGCF1980fv1iy++SGNj40CF2GdKWIiIyJBUcuiAdzpIZs5kb/8KzzhTt9uNfY1xgiKqi+kgFU0V7C7fDUBuRq5fY0tsT1gMxKSQ0FFGYqHFz30ssqKzsJltNLY1crLhpF/3FhERGczWrl2LyWTCZDJx3333AVBSUsJdd91FTk4OUVFRxMTEMG3aNB544AHsdntQ4x3Wy5LQKVOmeE9ZNDY2csTPpzMDQQkLEREZko5s2wLAedNn0tzgpDS/DoCRk4yERcuhQ7SVnMQUGkrknNmd1q8rXIcbNzkJOaREpvg1Nl9OWMDgnBRiNVsZGTsSME5ZiIiIfF6tXLmSSZMm8dBDD7Fv3z4aGhqw2+3s2LGDe++9lxkzZlBcXBzsMHslJibG+7ipqSmIkfSOEhYiIjLkuN1ujrYnLEbPnMOJ3ZUAJI+MITIuFDhdDhI5dy7m8PBOe/h7OsiZEs9IWPRmfFh/Gm+GekpCjvq3JARgdJxxeuNw9WG/7y0iIjIU7Nixg2uuuYb6+nry8vJ46qmnePHFF3nggQdITU0FjKaXN9xwQ5Aj7VlrayuHDh3yfj1ixIggRtM7mhIiIiJDTmXhCWpKT2K1hTByynRW/q8xycJTDgJgX20kJLoaZ9roaGTLSSPhsTDL/wmLYemZmMxmmhvqqa+qJDohsfvr2/tY9GW0aUj7CYu2sjKcdXVYzvjkpL88CQudsBARkc+r119/nbS0NFauXEnOZxp4L1++nJkzZ1JUVMSqVavYvn0706d3HAVeUFDA9u3b/RJLYmIi8+fP7/P6559/ntraWgCmT5/uTbgMZkpYiIjIkOMpB8maPBVMNgoPVAOQPcVIDLSVl9O8axcAUQsWdFr/4ckPaXG2kB6V7p2G4U9Wm41haRlUFhVQXpDfc8KiHyUhluhorMnJtJWV0XL0KBHTpvUp5q54EhaaFCIiIp9nzz77bKdkBUBqaip33303N910EwDvvvtup4TF6tWr/Xb6Ijc3l7Vr1/ZpbXl5OT/96U+9X//sZz/zS0yBpoSFiIgMOUc+9pSDzKZwfxVOh4uYxDDvSQV7+y/zsEmTsHUxY3xNwelyEJPJFJAYE7NGUllUQEXBCc6bNrPba+PbExZ1lcakEM+Uk94KHT2KtrIyWo8dC0jC4ljtMZwuJxazb3GJiIh/ud1umtoGf9+BQAm3hgfs9/bZTJ06lYVdNO/2WLx4sffxnj17BiIkn7W2tvLlL3+ZsrIyAL70pS9x9dVXBzmq3lHCQkREhpS6inJKjx3BZDIz6oIL2fJaCQAjJyd6X8TUr1kLdF0O4nQ5WV+0HghM/wqPpKyRHNy8nvIT+T1eGxFjTApprndQfaqB5BG+lXWEjBpNw+YP/T4pJD0qnTBLGM3OZorri8mKyfLr/iIi4pumtiYufP7CYIcRNFu/sZUIW8SA3nPOnDndPp+RkeF9XF1d3en5vLw88vLy/B1Wr7lcLm688UY2bNgAwKhRo3j66aeDFo+v1HRTRESGlKPtpyvSxk0gLCqG47s7jjN1NTfTsHkzANGXXNJp/Y7yHVS3VBMTEsP0lOmdnvcXb+PNwhO9ur5/k0KMxpstx/ybsLCYLWTHZgNwuEaNN0VE5PMnMbH7ss7Q0FDv4+bm5kCH4xO32833vvc9nnvuOQCysrJ4//33iY+PD3JkvacTFiIiMqQc2Xa6HKQ0v44mu4PQCCvDx8QB0PDhh7ibm7EOH05o+6zxM60tXAvAxRkXYzUH7tdg0oiRAFQVF+Jsc2Cx2rq9ftjwSEoO1/RxUojReLPVzycswCgL2V+1n6M1R1mUtcjv+4uISO+FW8PZ+o2twQ4jaMKtnad+BZrZPDQ/43e73dx88808+eSTgHESZPXq1YwcOTK4gflICQsRERkymurtFO7bDcDoGbPZ/2E5AFk5CVgsxgsKTzlI9MLO/SncbndAx5meKTohidCISFoaG6gqKSap/cTF2fhjUoijuBhXYyPmCP8dlx0d3954s1qNN0VEgs1kMg14SYT0TzCmhLjdbm655RaeeOIJANLT01mzZg2j2l8vDCVKWIiIyJCRv30bbpeLxKyRxKUOJ3+ncdrCMx3E7XJRv8YzzrRzQiK/Np8TdSewmW3MS58X0FhNJhOJWSMoPrCPihP5PScs+lESYh02DEt8PM7qalry8wnvopN5X3knhdQqYSEiIuKrgZ4S4klW/OlPfwIgLS2NNWvWMHr0aL/EMNCG5vkWERH5XDqzHKSmtJHqU42YLSaychIAaN67j7bycswREURcOKvT+tWFqwGYNXwWkbbIgMebmDkSgPJe9LHwTgqpMCaF+MpbFnLUv2UhnoRFfm0+DpfDr3uLiIiI/3w2WTF8+HDWrFnDmDH+H+E+UJSwEBGRIcHR2kL+zk8Aoxwkf5fRbDN9bByh4caBQc/pisj58zGHhHTaw9O/4pLMzs04A8HTeLOyFwmLiJgQQiOMn6O23PeRdZ6yEH9PChkeOZwIawRtrjYK6wr9ureIiMi5Li8vD7fb7Zc/PZ2u+P73v+9NVqSmprJmzRrGjh07AD9l4ChhISIiQ0LB7h20tbQQnZBEcvYojrcnLEZOTvJeY++mHKSiqYJd5bsAyM3IHYCIIX54GgDVp0726vrYJKOZWF0fEhaeExYtfj5hYTKZTpeF1KgsREREZDD6wQ9+wOOPPw4YyYq1a9cyrovm40ONeliIiMiQ4CkHGTXjQloa2jh5pAaAkZONchDHyZO07N8PZjNRuRd3Wr+ucB1u3OQk5JASmTIgMcenGgmL2tJTuJxOzBZLt9fHJoVTdsLetxMW5xmjTVtPHPd5bU9GxY1iV8UujtQcYQlL/L6/iIiI9N3PfvYzHnvsMcD4oOGHP/wh+/fvZ//+/d2umz59OllZWQMRYp8pYSEiIoOey+Xk6MfGGLfRM2dzfE8FbjckZEQRk2CcSvCcrgifOhXrsGGd9hio6SBnik5IxGKz4XQ4sFeWE5uc2u31Me0nLGrLG32+V8gI4wWHo6AQt8uFyY9j2EbFGac3dMJCRERk8Nm4caP3sdvt5s477+zVuv/7v/8jLy8vQFH5h0pCRERk0Cs5uJ8mex2hkZFkTDif4zuNchDPdBA4Pc40auGCTusbHY1sOWmc0FiYNXAJC5PZ7E1SVJ8s6fH6WG/CwvcTFrbhw8Fqxd3aSltpqc/ruzMmzmjWpYSFiIiIDCSdsBARkUHPUw5y3vRZuN0mTuyrAiB7spGwcNY30LjFuCZ60aJO6z88+SEtzhbSo9K9b74HSvzwNKqKC6k5dRKmdH+tt4dFhe8JC5PVSkh6Oq0nTtB6osBIYPiJ54RFQV0Brc5WQiydG5qKiIicKxYsWIDb7e719b5cGwg9NeMcynTCQkREBjW3282Rj0+PMy0+VENbi5PIuFCSsqIBaNi0CbfDQciIEYRkZ3faY03B6XIQk8k0cMEDcSlG4qCmtOcTFjGJEQDYq1pwOl0+38vWXhbSWtDzVBJfJEckEx0SjdPtJL823697i4iIiJyNEhYiIjKoVRSeoLb0FBabjZFTppPvKQeZnOhNPtSvXg1A1CWXdEpItLnaWFe0DoBLsgZmnOmZ4tobb/amJCQyNgSLzYzb5cZe2ezzvUKyRgDgKCjweW13zpwUcrTGv1NIRERERM5GCQsRERnUjmz7EIARk6ZiCw3j+M5yAEa2969wt7VRv85ISHTVv+LTsk+paakhLjSOacnTBiTmM3kmhdT0YrSpyWzq12jTkPZO360n/JuwADXeFBERkYGnhIWIiAxqnv4Vo2fOobzATkNtK7ZQCxlj4wFo2rEDZ00N5thYIqZP77R+dYFx+uLijIuxmge+dVNcqlESUlt2CpfL2eP1MYl9b7wZ4i0J8X/CwnPCQgkLERERGShKWIiIyKBVV1FGWf5RMJkYdcEs8ncZ5SBZE4dhsRm/wjzjTKNyL8Zk7ZiQcLvd3nGmwSgHAYhOTMRiteJsa8NeUdHj9f2ZFBIywigJaS0o8HsDMJWEiIiIyEBTwkJERAatI9u2ApA2dgIRsXGn+1ecOc50tZGQiL6kc0LiUPUhiuuLCbOEMTdt7gBE3JnZbPGONu1NWUi/RpumpYHFgrupibaycp/Xd8eTsCi0F9LU5ntsIiIiIr5SwkJERAato2dMB6mrbKKyqB6TCUacbyQsWo7l05qfDzYbkfPnd1rvKQeZkzaHcGv4wAX+GZ6ykOpTvZgU0p/RpiEhRtICcPh5UkhCeALxofG4cXOs9phf9xYRERHpihIWIiIyKDXX11O0fw8Ao2dcyPFdlQAMHx1HWJQNgPr2cpDIWbOwREV12mN1oZGwCFY5iEf8cE/jzZ4TFrGJp5tu9qWsw9t4MwB9LDyNNzXaVERERAaCEhYiIjIo5X+6DZfTSUJGFvHD08n3TAeZfLocxL7GM850Yaf1xfXFHKg6gNlkJjcjd2CCPou4lPbRpr1IWEQnhGEym2hzuGisbfX5Xt7GmwGYFJIdmw0oYSEiIiIDQwkLEREZlI58bPSvGD1zNi2NDkoO1QCn+1e0VVfTtP1TAKIXdk5YrC1cC8C05GnEh8UHPN7uxA3v/WhTi9VM9LBQoI99LAJ4wmJkzEhACQsREREZGEpYiIjIoNPmcJC/4xMARs24kBN7K3G53MQPjyQuOQKA+nXrwOUidMIEb9+GM3n6V1ySGdxyEIB4z2jT0pOBH22a5ZkU4t8eFqATFiIiIjKwlLAQEZFBp3DPThzNTUTFDyP1vDHk7+hmOkgXpytqmmv4pNRIeCzM6vz8QItOSMJsMUab1ldW9nh9bD8ab3pKQhwn/D/a1JOwKKgrwNmLxIuIiIhIfyhhISIig86R9ukgo2ZciMsJJ/Yab/I9CQtXSwv1GzcCENVFwmJ98Xqcbidj48eSGZ05QFGfndliITbFGG3qy6SQ2rJGn+9ly8gAkwlXQwPOqiqf13dneORwQi2htLpaKWno+ecQERER6Q8lLEREZFBxu1wc9fSvmDGb4kPVOJqdRMSGkDIiBoDGjz7C3diINTmZsJyJnfbwloMEeTrImTxlIb2aFJLU95IQc2go1uFGcsTfjTctZgtZMcYJDpWFiIiISKApYSEiIoPKqaOHaaipJiQ8nIycyeTvbC8HmZyIyWwCwL66fTrIwoWYzB1/lTW1NbG5ZDMwOPpXeMSleiaF9Nx405uw6ENJCEDIiAD2sYhRHwsREREZGEpYiIjIoHJk24cAjJw6A4vVSv4uT/+KJMA4gVH/gZGwiO5inOnmks00tTUxPHI444eNH6CoexbnPWHRc8LC03SzpaGNlkaHz/fyNN50BGBSiKePxfG6437fW0RERORMSliIiMigcuY40/ICOw01LdhCLWSMM0aTNu/ZQ1tZGeaICCLmzOm0/v0T7wNw6YhLMZlMAxd4D+JTPaNNey4JCQmzEh4TAvR1Ukj7aFM/l4QAjIwdCeiEhYiIiASeEhYiIjJoVJUUU1VciNliIXvqBRzbUQ5AVs4wLDbjV5Z9lZGQiMy9GHNISIf1DqeDdYXrALg069IBjLxnnpKQmtKTuF2uHq+P7c9o0/ZJIa0BPGGhhIWIiIgEmhIWIiIyaBxtnw6SmTOZsMio0/0r2stBAOwffABA9KWdExJbT23F7rCTGJ7I1OSpgQ/YBzGJSZgtFpwOB/aqih6v789oU1tWABMW7T0sqpqrqG2p9fv+IiIiIh5KWIiIyKDhKQcZNeNCasubqCppwGQ2MeL8BABajh2j9dgxsNmIuvjiTus95SCXZF6C2TS4fsWZLRZik43pHb3qY+EdbdqHExaZxihXV20tzpoan9d3J8IWQUpECqA+FiIiIhJYg+vVnIiIfG411FRTcmg/AKMuuJD8nUY5SNqYWMIibQDY3zdOV0TOno0lOrrD+jZXm3ec6aUjBlc5iIcvjTf7Ndo0PBxripFUCMQpC/WxEBERkYGghIWP3njjDa699lpGjhxJWFgYycnJzJ07l0ceeYS6ujq/3cdut/Pyyy/z/e9/n7lz55KUlITNZiMmJobx48dz/fXXs2LFCtxut9/uKSISTMe2bwO3m5TzRhOTmHTGONMzykHeN05QRC9a1Gn9p2WfUt1STWxoLDNSZwxM0D6KS2lPWJT2PmHRl5IQCGzjTY02FRERkYFgDXYAQ0V9fT3f/OY3eeONNzp8v7y8nPLycj788EP+8Ic/8NJLLzF79ux+3et3v/sdd999N83NzZ2es9vtHDx4kIMHD/L3v/+diy66iGeffZas9hemIiJD1ZH2/hWjZ8ymud7BySM1AGRPSQTAUVpK865dYDIRveiSTutXnVgFwIKMBdjMtoEJ2kcxiUbyxV7Z+x4W9TUttDmcWG0Wn+5lG5EF27bReuKE74H2wDvatPa43/cWERER323bto2PPvqIbdu2sXfvXsrLy6moqMDhcBAXF8eECRNYuHAheXl5jBgxItjh9poSFr3gdDq59tprWbFiBQApKSksX76ciRMnUlVVxQsvvMCmTZsoLCxk6dKlbNq0iQkTJvT5focOHfImK9LT07n00ku54IILSE5Oprm5mS1btvDss89SX1/Phg0bWLBgAVu2bCE5OdkvP6+IyEBzNDdTsGsHAKNmzub47grcbkhIjyKmfVqGp9lm+JQpWJOSOqx3uV18cMJ4fvGIxQMXuI+iE43/TtdVlPd4bViUDVuYBUezk7qKZoYNj/TpXiHtL0ZaCwKXsMiv0wkLERGRwWDhwoU0NDR0+VxZWRllZWWsW7eOhx56iHvvvZc777xzgCPsGyUseuGpp57yJismTpzI6tWrSWmvDQa45ZZbuO222/jtb39LdXU13/3ud1m/fn2f72cymViyZAm33XYbixYtwmzuWLnz7W9/mzvuuIPLLruMgwcPkp+fzx133MHTTz/d53uKiART/s5PaHO0EpuSSmLmCD5+Zw9w+nQFQL2nHGRx5/4Uuyt2U9ZURqQtktlp/TvlFkieExZ1FWU9XmsymYhNCqeisJ668ibfExZZRsLCEYiSkPaERWFdIQ6XY9CeaBEREfk8SU5OZtasWUyZMoXs7GxiY2NxOBwcP36ct99+m02bNtHS0sJdd92Fw+HgnnvuCXbIPVLCogdOp5P777/f+/Xf//73DskKj4cffpgPPviAHTt2sGHDBlauXMmSJUv6dM9f/OIXDBs2rNtrRowYwYsvvsjUqVMBePHFF3nssceIiIjo0z1FRILp8NbNAIyZNZe2VhcFeysBOG+q8QbfWVtLw0fbgK77V3img1ycfjGhltCBCLlPotsTFg1VVTjb2rBYu/81HJPQnrCo7Fwi2JOQEZ4eFv4/YZEckUy4NZymtiaK7EXeBIaIiIgEx5YtW8jJycFkMnX5/J133snf/vY38vLycLvdPPjgg3znO98hLS1tgCP1jZpu9mD9+vWcPGk0R8vNzWX69OldXmexWLj11lu9X7/wwgt9vmdPyQqPKVOmMG7cOAAaGxs5cuRIn+8pIhIsbQ6H0XATI2FRsK+SNoeL6IQwEjOjAKhftw7a2ggdM5qQkSM7rHe73d6ExWCdDuIRGRuHxWrF7XbRUF3V4/VRw4zkS32V7wkLW4Yx2tRZU4Ozvusjon1lNpkZGTMSUB8LERGRweD8888/a7LC4/rrr+eqq64CoK2tzVtFMJgpYdGDd9991/t46dKl3V57xRVXdLkukGJiYryPm5r61kleRCSYCvbsoLWpkaj4YQwfPZZjnxr9Hc6bluT9xesZZxrVxemKg9UHKaovItQSyvz0+QMXeB+YzGaiE3pfFhI9LAwAex8SFpaoSCxxcQA4iot9Xt8T9bEQEZFz1dq1azGZTJhMJu677z4ASkpKuOuuu8jJySEqKoqYmBimTZvGAw88gN1uD27APsjJyfE+PnXqVBAj6R0lLHqwe/du7+OZM2d2e21qaiqZmcYnWqWlpZSX99xUrT9aW1s5dOiQ9+uh1O1VRMTj8NYPARg9aw4uFxzfZUzQGDXNaFDpamqifsMGAKIv7dxQc+XxlQDMS5tHhG3wl8V5ykLsvWi8GZ3Q94QFgC09HQhMwmJk7EhAo01FROTct3LlSiZNmsRDDz3Evn37aGhowG63s2PHDu69915mzJhBcQB+1wbCmafyU1NTgxhJ7yhh0YODBw96H2dn91yje+Y1Z64NhOeff57a2loApk+fPiT+womInMnldHK0fZzpmFlzKTpYTWuzk4iYEFKzjRNk9Rs24G5qwpaWRljOxA7r3W437x1/D4DLsy8f2OD76HTjzV4kLPpxwgLOSFgUFfVpfXe8JyyUsBARkXPYjh07uOaaa6ivrycvL4+nnnqKF198kQceeMD7/uvQoUPccMMNQY60Z2+++SavvvoqAGFhYVx55ZVBjqhnarrZg5qaGu/jxMTEs1/YLiEhocu1/lZeXs5Pf/pT79c/+9nPAnYvEZFAKT6wlyZ7HWFR0WRMOJ91LxwGjGabJnN7Och7xgmK6Msu61Sbub9qPwX2AsIsYeRm5A5s8H0U7cOkEE/CorG2FafDhcXm2+cMtowMIEAlITGnExZut7vHulkREZGh6PXXXyctLY2VK1d2KKcAWL58OTNnzqSoqIhVq1axffv2Tj0PCwoK2L59u19iSUxMZP78nstf169fT1WV0SurtbWVwsJCVq5cycqVxmsqq9XKE0880eUwicFGCYse1NfXex+HhYX1eH14eLj3caBqmVpbW/nyl79MWZnxYvdLX/oSV199dY/rWlpaaGlp8X5dV1cXkPhERHrr8EdGOcioGReCyUz+ztP9KwBcLS3Ur1kDQMxlnScveU5XXJRx0ZAoBwG8PSx6UxISFmXDajPT5nBRX9NMbJJvP6Mt3ej87Sjxf8JiRMwITJioa62juqWaYWG9axgtIiJ953a7cX+O+9aZwsODkiB/9tlnOyUrwCipuPvuu7npppsAo4/hZxMWq1ev9tvpi9zcXNauXdvjdbfffjtbt27t9H2TyURubi73338/F198sV9iCjQlLIYYl8vFjTfeyIb2eu5Ro0bx9NNP92rtQw891GFEq4hIMLldLg5/dHqc6ckjNTTZHYRGWEkbGwdAw6ZNuBobsaamEjZ5csf1Z5SDXDbysgGNvT9ikozeHL0pCTGZTEQNC6OmtBF7pe8Ji5D2ExatRf5PWIRZw0iLSqO4vpj82nwlLKT3aouh5FNIHAOJY0Gnc0R6zd3UxMHpFwQ7jKAZt/0TTBED+wHF1KlTWbhw4VmfX7z4dH+tPXv2DERIfZaens7ixYsZM2ZMsEPpNfWw6EFUVJT3cXNzzzXEZ07qiI6O9mssbreb733vezz33HMAZGVl8f777xMfH9+r9XfeeSe1tbXeP4WFhX6NT0TEF6eOHaa+qhJbWDgjJk31TgfJnpKIxWL8erK/ZyQkYi5bgsnc8VfWvsp9FNcXE24N56L0iwY2+H44s4eF2+3u8fr+NN4MZNNNON14U6NNpVvNdXDgHXjnJ/DYTPjvifDiN+GPs+B3E+GNH8C+N4zrREQGmTlz5nT7fEb7hwMA1dXVnZ7Py8szTsb44U9vTlcAbNmyxbumvr6eHTt2eKeZ3H333UyaNIn333/fp/8dgkUnLHoQFxfn/YtXUVHRIYHRlcrKyg5r/cXtdnPzzTfz5JNPAsa/GKtXr2bkyJG93iM0NJTQ0FC/xSQi0h+ecpDzps3AYrNxbIenHKR9OkhrK/bVRjlI9GWdT1B4TldcnHHxkCkHAYhOMPohOZqbaGlsICyy+98r0fHGf7ftVS3dXtcVW5pREuKqq8NZV4fljFHY/pAdk82m4k1qvCmd1RbDzhfgyPtQtA1cbaefM5khcRxU54O9BLb/zfhjtkLWHBizGMYsgeQJwYtfZJAyhYczbvsnwQ4jaExnlN8PlJ76GJ75/qo3H3APtMjISKZMmcKUKVP41re+xfz58ykpKeHKK6/k448/ZtKkScEOsVtKWPRg3Lhx5OcbL8Ty8/N7TBB4rvWs9Qe3280tt9zCE088ARhHedasWcOoUaP8sr+IyEBzu90c3roJgDEXzqXshJ366hasoRYyJxinxho2b8Zlt2NNSiJ86tRO64diOQiALTSM8OgYmux12CvKe05Y9OOEhTkiAktCAs7KShzFxX5PWGTFZAFwwn7Cr/vKELf/LXhlOTgaT38vPhtGLYTzFkL2RRAeD45mOLEJDq+CI6ug8ggc32D8WXUPTFwGy/4Iof49sSoylJlMpgEvifi8M5vPnaKE7OxsfvWrX3H99dfT2trKL37xC/7xj38EO6xuKWHRg0mTJrFixQoAtm3b1m39UmlpqbfMIjk5maSkpH7f35Os+NOf/gRAWloaa9asYfTo0f3eW0QkWCoKT1Bz6iQWm43sqRfwyYoSAEaen4DVZgHOmA6ypHM5yO6K3ZQ0lAy5chCP6MQkmux11FWUkzSi+5HZnkkh9f0YbepJWIRN8O8n1iNiRgBQUFfg131liHK7YdPv4f37ATekTYfp1xuJiviRna+3hcHoRcYffgWVR40TGYdXwbE1sO91KD8IX3sOEvW6R0SGpmBMCenOFVdc4X3c2xKTYFLCogeXX345jzzyCGB0fb399tvPeu0777zjfbx06dJ+3/uzyYrhw4ezZs2aIdUkRUSkK4e3Gs02R0yehi0snKOfdpwO4m5txf7BBwBEdzMdZEHmAsKsPU9wGmxiEpMoyz/aq9GmUe0JC3tlXxMWaTTv2kVrUVGf1nfHk7AotBfidDmxmC1+v0egNNnr2Ld+Namjx5E+TqUH/dbWAm/+0CgDAZj5Hbj8YbD48FIzYZTx58LvQuE2eOnfoPwAPLkQrv4zjO//aysRkYEWjCkh3Tmzz2JXPTcGm3PnfEuA5ObmkpqaChgZqLNlx5xOJ48++qj36+uuu67f9/7+97/vTVakpqayZs0axo4d2+99RUSCzTsdZOYcKovrqS1rwmI1M+L8BAAatn6Eq64OS0ICERd07IbucrtYecI4fTHUykE8YhKNPh29GW3qOWFhr27G7eq5SedneSaFOIpLfF7bk9SIVGxmGw6Xg1ONp/y+f6BUlRTz3F3/j7V/e4pXf3UfLY0NwQ5paGuogL9+0UhWmCyw9Ddw5W99S1Z8VuZM+I91kDUXWurgH1+HNb8El8t/cYuIfA4dPnzY+9gfFQGBpoRFDywWC/fcc4/36+uvv56yss6fiN1xxx3s2LEDgHnz5nFZFw3iAJ555hmj9sxkYsGCBWe97w9+8AMef/xxwEhWrF271m89MUREgqmyqJCKguOYLVZGz5zDkY+N/6aOOD+BkDDjDY59pXGCInrxpZgsHT+131W+i1MNp4i0RTI/vX/HIoMl+oxJIT2JjA/FZAJXm5tGe6vP9wrkpBCL2UJmdCYAJ+qGRh+LogN7eeG/bqO2rBSAlsYGdrz3dpCjGsJK9xknIAq3QGgsfPOfMGu5f/aOToFvvwGzvmt8ve5heOFr0FTjn/1FRAZAMKaEdMfTFxGM962DnUpCemH58uW8+uqrrFq1ir179zJlyhSWL1/OxIkTqaqq4oUXXmDjxo2AMRnkz3/+c7/u97Of/YzHHnsMMBrr/PCHP2T//v3s37+/23XTp08nKyurX/cWEQm0Q1uM/16OmDyV0MhIDn9iJCxGzzBOHbjb2rCvMkZtxXSR/F1x3OgrtCBzAaGWoTn5yDPatDcnLCwWM5FxodRXt2CvaiYy1ref2ZuwCEBJCBiNN4/VHqOgroC5aXMDcg9/ObB5PSse/2+cDgepo8cybvZ81j37NJ+88zrTl34RW6h/y4tcLjfHPi3HbDaRPTURk8nk1/2D7tha+Me3oNVuNNX8xouQ5OcPVyw2WPprSJ9ulJwcXgl/WQDXPQ8pE/17LxGRIeqJJ55g3LhxLFiw4Ky/a5xOJ4888oj3Q3GAm2++eaBC7DMlLHrBarXy8ssv841vfIO33nqLU6dO8eCDD3a6LiMjgxdffJGcnJx+3c+T/ACjj8Wdd97Zq3X/93//R15eXr/uLSISaAc/3ADAuDkXUVFYT115E1bbGeUgW7birKnBEh9PxMyZHda2udpYkW8kLJZmD916du8Ji8qeExZglIXUV7dgr2wmNTvWp3vZ0j0lIcW43W6/v2keEW30sRjsJyx2vPc2HzxtlFmOnjmHpT/4TyxWG5++9zZ15aXsXr2K6Vd8wW/3qzrZwOq/7ac0vw6AS/MmMG72cL/tH3TFn8BzXwVnC4yYD1/7O0QMC9z9plwHSePhxX8zxqE+tQi+8jSMu6LntSIi57gtW7Zw0003kZmZyeLFi5k0aRLJycmEhIRQU1PDnj17eP311zl+/Lh3zZ133klubm7wgu4lJSx6KTo6mjfffJPXX3+dv/3tb2zbto2ysjKio6MZNWoU11xzDd/97neJjfXthaSIyOdJReEJKosKMFusjJpxIZ+uNPoejJh0uhykrr2BcfRlSzBZO/6a+ujkR1Q2VxIXGsectDkDG7wfeXpYNFRV4Wxrw2Lt/tdx1LAwOFpLfVWLz/eypRlvkl0NDbhqa7HExfm8R3e8o00HccKipbGR9c/9HwDTr/giudf/O+b2BqGzln2Z9596nI/ffIUpiy/HYrX1614up4sd7xfy0Zv5ONtO91vY9PIRRkxKJCyyf/sPCi318PJyI1kxZgl87VmwDsBpp7Sp8B9r4eUbjdMd/7oR/n0lpE4K/L1FRIaAwsJCnn766W6viY2N5aGHHuKmm24aoKj6RwkLHy1btoxly5b1eX1eXl6PpyCGwngZEZG+8JSDjJwyjdCISI54ykEuSAHA1dqKfdUqAGK6mLb0dr7Ra+CykZdhMw/dN34RMbFYbDacDgf1VZXEJqd0e7238WYfRpuaw8KwJCXiLK+gtaiYcD8nLLyjTe2Dd7TpsU+34WhpZlhaBgu+vbzDKZOc3Ev58F8vYK8sZ/+GtZy/cHGf71N9qoH3n9lP2XHjVMWI8xO4+LqxvPXHXVSfbGDLa0dZ8M3x/f1xgu+9O6HqKMSkwzV/GZhkhUdkAnzzZXj+Wji6Gl74hpHEiEwYuBhERAaZRx99lGXLlrF+/Xo+/fRTjh49SkVFBQ6Hg6ioKFJSUpg8eTKXXXYZ11577ZD6kF0JCxERGRBut5uDHxoJi3FzLqK8wE5dRTPWkDPKQTZswGW3Y01JIWLGjA7rm9uaef+E0dviyvOuHNjg/cxkNhOdkEjNqZPYK8p7Tlgk9D1hARCSnkFTeQWO4mLCz+9f2eJneRIWxfZi2lxtWM2D76VFwe4dAJx3waxOJTHWkBAuuOpq1j/7NB+9/i8m5l7iPX3hC3tVMy//+hNaGtsICbdy0VfHMG52qtFk+xtjefW3n7J3Qwnj5wwn9byh80Kxk/1vwva/ASa4+gkIjx/4GCxWoxzkyUug6phx4uJbr8AQGqsrIoPbggULcLt7P5nLl2sDISYmhquvvpqrr746qHEEgqaEiIjIgKgsPEFVcSEWq1EOcrh9OsjIyYnYQo03GnVvGycoYq64ApO546+otUVraWxrJD0qnalJUwc09kCI8aGPRVS88Ql2XxMWgZwUkhyRTJgljDZ3GyX1/h+d2l9ut5sT7QmLrPOndHnNlEsvJywyiuqTxRzeurlP99m3qYSWxjYS0qP4+j0XMn7OcG9yJG1MPOPnGqU5a587iMs5REdz1p2EN35gPJ73Q8i+OHixhMcbjTdtEUZ5yJpfBC8WEREJGCUsRERkQBz0lINMvYCQ8AiOfGKMlRx9gdHPwdXQgH31GgBiruyiHOSYkcy4IvuKc2LaQnSC8XP3ZlKI54RFfX8TFgGYFGI2mcmMGbyjTWtKjVMsZouVjPFdny4JCY9g2hVfBGDrqy/5/EmZ2+32juedtjjTm2A609xrRhEaaaWyuJ5dawIzsSWgXC547XvQVA3Dp8DCu4MdESRPgC/+wXi84bdwQONpRUTONUpYiIhIwHUoB5k9n9LjddRXtWANtTAixygHsa9Zi7u5GVtWFmHnn99hfW1LLRuLjfVXZg/tchAP76SQirKer23vYdHS2EZrU5vP97JlBO6EBZyeFDIY+1gU7N4JQNrY8djCzj62dNoVX8AWGkb5iXzyd3zs0z0qi+upKW3EYjWTPSWpy2vCo0KYe81oALa+md/n0zJBs+Vx4ySDNRyueQqsIcGOyDDpKzC7fSzfq9+DiiPBjUdERPxKCQsREQm4ioLjVJcUYbHZOO+CC73NNrMnJ2IN+Uw5yNLOJyhWnlhJm6uNcfHjGB0/emCDDxBPSUhvTliEhFkJjTB6Q/Tlja7nhEVrcWA+2R/Mk0IK9hgJi7OVg3iER0Uz6ZIlABzassmne3jKm7JyhhESfvYeHhPmDGf4qFjaWpxsfOmwT/fwh4bNm2nYvBm30+nbwpO74IP7jceX/xKSxvo/uP5Y/ABkzYGWOnjxW8YUExEROScoYSEiIgHnOV2RPfUCQsLCOeqdDmKURThra6nfaFwTe2XnExSecpCl53UuFRmqPKNN63qRsID+Nd4M8fawKAlIYzBP483BlrBwu1wU7N0FQNakqT1e77nm5KEDvb+H282Rj43ypjEzum+eajKbyP3GOMxmE8d2lFN0sLrX9+mv2rfepuDGf6fgxn/n6OIllD/+OI7S0p4XOprg5e+AsxXGLYULbgh8sL6y2ODaZyAqBcr3G302gtwAT0RE/EMJCxERCSi3282hLRsAGDvnIk4dq6W+ugVbmIWsnGEAxihTh4PQsWMJHTOmw/pTDaf4pPQTTJhYmn3uJCxOl4SU9yqJEBXf9z4W1rQ0MJlwNzXhrPb/m+Ss6MF5wqLsRD7N9jpsYeGkjhrT4/XDx4wDoKqkiKZ6e6/u4Z12YzMzYlLPozUT0qOYMM9owLl/88A0KW0+eIiT//VfAJhCQnCUlFDx6B84svASCr93E/bVq3G3naXUaNU9UHHQSAZ88Q8wWPvHRKfCtX8FsxX2vgJbnwh2RCIi4gdKWIiISECVHjtC9ckSrCGhjJo+k0MfGZ/qnjc1CavNKAep9ZaDdE5IvJP/DgAXpFxAamTqAEUdeNGJiQA4mptoaWjo+fp+nLAwh4RgTTZOdASi8abnhMXJhpM4nA6/799XnnGmmRPPx2LtedxqREws8cON0yi9PWXhKQcZMSmRkLDejXQdO8s4iVGwtwq3K7AnAZx1dRT94Ae4m5qInDePsVs+JO3XDxtjg10u6teupejmWzi69EocJ092XHxqN3z0F+PxsschMjGgsfbbiDmwpH1ayMqfwYm+TXwREZHBQwkLEREJqP0b1wIw6oJZWGxh3v4V42YZyYe28nIat34EdJ4O4na7eevYW8C5VQ4CYAsJJTwmFvCt8aa9qqVv9wvgaNPE8EQirBG43C4K6wv9vn9fne5fMbXXa9LGjgfg5JFDPV7rdru9027GzEju9T1SsmOxhlporndQURy4fgtul4uS23+Ko6AAW1oaab95BHNEBLFf/CIjnv07573zDsNuvBFLfDyOggLK/vu/O26w5iHjnzlXw5hLAxanX134XTj/K+Bqg3/mgf1UsCMSEZF+UMJCREQCxuVycnDzegDGz19Awb4qmhscRMSEkD4+HoC6d1eAy0XY5MmEZGZ2WL+/aj+Hqw8TYg5hyYglAx5/oHkbb1b2YrSpJ2FR2cfRpgGcFGIymbyNNwvqBsekkDaHg6IDewHImtR9w80zpbSXjpQe7TlhUZpvTLuxhVoYcX7P5SAeFquZ9DFxABQdCFwfi4o//Yn6tWsxhYaS/odHscbHd3g+9LxsUm7/CZlPPglA3Ztv0Xyo/ecu/gQOvg0mMyy4K2Ax+p3JBF98FJInQn0pvPRtGESnfkRExDdKWIiISMAU7tlNQ001YVHRZE+dzqGPjE87x8xIwWw2auFrX38dgNgvfKHT+jeOvgHAJVmXEBsaO0BRD5zohNN9LHq8dljfS0LgjEkhASgJgcHXePPk4QO0tbQQERtHYuaIXq/z9Lo4dfRwj71FDrc32xx5xrSb3spoT9gVHajyaV1v1a9bR8VjfwQg9b77CM/JOeu14efnEH3ZZeB2U/HHx41vrvml8c/JXxt8U0F6EhIJX3sWQmOgcAus/02wIxIRkT5SwkJERALGUw4ydvY8nG0mju+sML6+0Kjhbzl8mOa9e8Fq7VQO4nA6vNNBlo1eNnBBD6CYpPZJIeW9KAlp72HRUNuC0+ny+V4hGRmAMSkkEDyNNwfLCYszx5l+dkxud5JGnIfZYqXJXtft/y9ul9s77caXchCPjPFGw9mSwzU423z//7M7rQUFFP/kdnC7ifv6dcRd/aUe1yTecjMA9vfeo3ntP+HI+0YDy9zb/RrbgEkYBVe1l7hs/B2U93xiRkREBh8lLEREJCAcrS0c/mgTABPmL+DYjnLaHC7iUiJIyooGoPYN4wRF1MUXYx02rMP69UXrqWmpITk8mTnD5wxs8AMkJrH3JyzCo2xYrGZwQ0O1730sAtnDAs44YWEfHCcsTrQ33Mw6v/flIABWm42kESMB45TF2Zw8WkNDbSsh4VayJva+HMQjIS2S8Ggbba0uSvNrfV5/Nu62Nopv+wmuujrCp0wh9c47e7UubOxYoi+/HICK/37Y+ObUb8Kw8/wW24A7/8swerExkvWt/6dRpyIiQ5ASFiIiEhD527fR2tREdEIS6eMmeqeDjJ2Vgslkwu10UvvGmwDELut8guK1o68BcOWoK7GYfTtuP1REJxhTF+qrKnu81mQ2ERkfalxf07+ERW/GqPpqMJWEtDY1cqq9aaavCQs4syzk7J/Ke6aDnDclEYvN95dTJrOJjHFGWUihH/tY1PzrZZp37cIcHU367/8bU0hIr9cm3XIzmEzYDzbQXBcOF//Eb3EFhckEV/4WrOFwYiPseC7YEYmIiI+UsBARkYDwlIOMn59Lo91B0X6jVn/MTKMcpHHrVtpKSzHHxBC1cEGHtRVNFWwo2gDAslHnZjkIQGS88cl8bxIWAFFxRsKiTycsUlPBbMbd0oKzosLn9T3xNN081XCK5ra+9dnwl5NHDuF2uYhOTCI2OcXn9acbb3Z9wsLldHF0u5GwGD3D9/09MiYYp4qK9vsvYVH72msAJN50E7bhw31aGzp6NDHjjNKjisIJEJfZw4ohIH4ELGw/ZbLyZ9Dg/7/7IiISOEpYiIiI3zXX15P/6ceAUQ5y5OMy3G5IyY4hLjkCON1sM2bpFZg/8ynwO8fewel2MilxEqPiRg1s8AMoepiRsGioruzVqYfIuL6fsDDZbFhTjTfXgWi8GR8aT7TNKPUptAd3tGnJof0ApI+b2Kf1qaOMJpOl+UdwuZyd9z9cQ5PdQWiklYwJ8Z2e7y3PCYvS43W0NrX1eR+P1qJimnbsALOZmKuu9H2Dox+QmH0CcGPffYrm/fv7HdOgMPtmSJkETdXw3t3BjkZERHyghIWIiPjdoa2bcLa1kZg1kqSskd7pIGNnGW+YXQ0N1K1cBXRdDvL6USOZcS6frgCIbB8z6Wxro8le1+P1/TlhAWAbngZA26lTfVrfncE02vTkoQMADB8zvk/rE9IzsYaG0trURHVJ554fxYdrABh5fiIWS99fSsUkhhOTFI7b5aakfc/+sK94F4CIWbOwJfvYCNTthrW/IjS2jZjpxsmK8j/+sd8xDQoWG3zhfwAT7PoHHF0T7IhERKSXlLAQERG/27/ReEMwfl4uVScbKDthx2Q2MfoCI2Fhf/993E1N2EZkET51aoe1B6oOcKj6EDazjcuzLx/o0AeUxWojPMYY19pQ3fN4y/6csAC8JQKOkpN9Wt8TT8IimI033W43J9v7V6SN7VvCwmyxkJI9Gui68WZ5gR2A5JHRfYzytNPjTftfFlL7zjuAcWrJZ0c/gKJtYA0n8Y5fgMlE/fsf0LxvX7/jGhQyLoBZy43Hb/0/cDQFNx4REekVJSxERMSvastOUbRvD5hMTJify4HNxpvjEecnEBFjlH54ykFily3rNHLy1cOvAnBJ1iXEhsYOYOTBERVv9DHoTR+LqPammw01fesR4U1YBOCEBZxuvBnMExZNdbU019vBZCIhM6vP+3TXeNOTsEjKiunz/h6Z7eNNCw/0nLDqTsuxfFr27QerlejFi31b3H66AoCZ/07o5FnEXGmUlJQ/do6csgC45L8gejhU58P63wQ7GhER6QUlLERExK/2rvsAMKYzRMUncnCr8eZ4wtz2N8snT9Lw4RYAYr/4xQ5rm9uaefOYMTnkS6O/NEARB1dUex+L+oE4YZHm+f+gpE/rezIYJoVUlRj9OWKTkrGFhPZ5n9MJi44nLBpqW2isbcVkgsSMqL4H2i59XBwAVSUNNNT27f9XgLr20xWR8+Zijfexr8YZpyuYeysAiTffBGYz9atX07Rnb5/jGlTCYuCKXxuPN/0eys6RHh0iIucwJSxERMRv3C4Xe9etBuD8BZdSsLeKxrpWwqNtjJhkvDGvefVVcLuJmDmTkIyMDutXnViFvdVOWmQac9PmDnj8wdCXExaNNa24Xb6PJrWmpgLQFqCSkBHRwT9h4UlYxKdl9HBl9zyNN8uPH8PZ5vB+v/yEcboiLjUSW2j/x+2GR4WQmGkkPooP9q0sxO12exMWsUuX+r7B+t8a/5z57xBtlG2Fnnee95RFxWOP9SmuQWnCF2DsFeBqgzd/BC5XsCMSEZFuKGEhIiJ+U7R/D3XlpYSERzB65mz2f2i8MR47MxWLxYzb5aL2Xy8DEHftVzqt/9ehfwFwzZhrMJs+H7+iTp+w6DlhERETgskELpebRnurz/eypRlNNx0nA9vDoqypjEZHY0Du0ZOqYiNhMayfCYvYlFTCoqJxtrVRUXD6xEiZp39FVv/7V3icLgvpW8Ki5eBBWo8dwxQSQtSiRb4tLtsPBZvBZIE53+/wVOLNNxm9LNauDdjfmQFnMsHSR8AWCYVbYOfzwY5IRES68fl4NSgiIgNiz9r3ARg39yLaHGaO76oAYHx7OUjDhx/iKCnBHB1N9JIlHdYeqz3G9rLtmE3mz005CEBUfHvCohcnLMwWs7cPSEMfykI8PSyc1dW4mvzfdDA2NJa40DggeKNNq08aUz36m7AwmUyknOdpvHm6j8Xp/hX+S1h4G2/ur+rVeNvPqnvbOF0RlZuLJcrHMpVPnjH+Oe4KiBne4anQ7GzCp0wBoH7dep/jGrTiMmHBT43HK/8LGvvXP0REZLDLy8vDZDJ5/9x3333BDqnXlLAQERG/aG1q5NDWTYBRDnJoaykup5ukrGhvrX/Nv4wTFLFf+ALmsLAO618+ZJy8uDjjYlIiUwYw8uDypYcFnNHHog+jTc3R0ZgjIwFwnAxM483MaGMkZrASFqdPWKT3ey9PWciZfSy8CYsR/ktYDB8dh9lqor66hdoy3xJJZ5aDxFzpYzmIowl2vmA8nnFDl5dELVgAQP3atb7tPdjNvhmSJ0JTFbx/X7CjEREJmHfffZe//vWvwQ6jz5SwEBERvzi0ZRNtLS3ED09n+Jjx3nKQ8XOMT23bqquxv2805PxsOUirs5U3jr4BwFfGdC4VOZdF+tDDAiAq3kj09OWEhclk8jbebDsVmCP+noRFgX3g+1i0ORzUlpUCMCw9s9/7fbbxZmNdq/G/u58abnrYQi2kZhsTcYp87GPRvHMnjuJizBERROXm+nbjva9Ccy3EjYDzLunykqgFxp4NW7bgau7bdJpByWKDK39nPN7+Vyj6JLjxiIgEQF1dHd/97ncBiGz/wGKoUcJCRET8wlMOkpO7iIrCeiqL6jFbTYydZZyWqH39dXA4CMvJIWzChA5rPyj4gJqWGlIiUpiXPm/AYw+m6PYTFo11tTjb2nq8vr+TQqypp6e1BEIwT1jUnCrB7XYRGhFJRGxcv/fzJCwqCwtwNDd7T1fEp0QQEmbt9/5nypxwuizEF7XtpyuiFi3CHB7u200//j/jnxd8G8xdvyQMHTcOa2oq7uZmGrdu9W3/wW7EHJjyDePxqv8yxruKiJxDfvKTn1BYWEhmZqY3cTHUKGEhIiL9Vn2qhOIDezGZzEzMvcR7uiJ7chJhkTbcbre3HKS7ZptXj7kaq9m/bwQHu/DoGMwWK7jdNNT0/Om6Z1JIQx9KQuB0HwtHgCaFBDNhcXpCSDomk6nf+0UNSyAqfhhut4vS40cpL6gD/Nu/wiOjvfFm0aFqXL2cAON2OrG/uwKAmKVX+HbD0r1Q9BGYrTD1W2e9zGQyeU9u1K9b59s9hoJLfgbWMDixCQ6tCHY0IiJ+s3r1ap588kkAHn/8caKj/f+7ayAoYSEiIv22b70xynTE5KlERA/j0EdGf4QJ7c02m3bsoPXIUUxhYd5RiR4FdQV8dOojTJi4ZvQ1Axv4IGAym4mMNz5db+hFH4v+nrDwlIQEelJIYV0QEhZ+mhByptTRRh+L0qOHKTvh/4abHskjorGFWWhpaKOyqL5Xaxo//oS28nLMMTFEzfPxZJLndMX4K72jTM/GUxZiX7u2T01BB7XYdKOfBcCqe8HZ8yknETn3rV27tlODypKSEu666y5ycnKIiooiJiaGadOm8cADD2C324Mb8Gc0NjayfPly3G43X/va17jqqquCHVKfKWEhIiL94nI52bvO6E2Rk7uIYzvLaWloIzI2hMyJxqfGNS8bDTVjLr8cy2cy/C8dfAmAeenzGB7VcUrB50WUD30sotoTFn3pYQFnnLA4WdKn9T3xnLA41XgKh9MRkHucTXWJ/xMWKdnGpJCy48cCMiHEw2wxkzIyBoDywt698PU024xeshhTSEjvb9baALteNB5f0HWzzTNFzp6NKTSUtpKTtBw+3OP1Q0FVcxUfnfyIt4+9TcWM6yF8GFQchB3PBjs0ERmEVq5cyaRJk3jooYfYt28fDQ0N2O12duzYwb333suMGTMoLi4Odphed955J8eOHWPYsGH8z//8T7DD6ZfP17lbERHxuxM7P8VeUU5oZCSjZ87hrT/uAWDCvDTMZhPO+gbq3nkX6FwO0tTWxCtHXgHg6+O/PrCBDyKnJ4X0nLA484SF2+32ufTB2p6waAtQSUhCWALh1nCa2poori9mZOzIgNynK1UBSFjEt+9VVVzsncySlBmYY7UJGVEUHaju1QkLt8OB/b33AIhd6uN0kL2vQksdxI+E7J4bdZrDw4mYfSEN69ZTv3YdYWPH+na/IGp0NHK05ihHao5wqPoQR2qOcLj6MJXNp/9diw6J5p5p13D55qdgzS9h0rUQMjSb04mI/+3YsYPf/OY3OBwO8vLymD9/PtHR0Rw8eJDHH3+cU6dOcejQIW644QZWrlwZ7HDZvHkzjz32GAC/+c1vSEkZ2pPXlLAQEZF+2fm+kYzIyb0Ue5WD4oM1mEwwcX4aAHVvv427sZGQ7GzCp0/vsPadY+9gb7WTEZXBvLTPV7PNM0XFtycsenHCIrK9h0Vbi5PWpjZCI2w+3ct7wuLUqT4lPHpiMpnIjM7kUPUhCu2FA5awcLvdpxMW6f5LWMSlpAJQfeokphCIS4kgJDwwL58S043JI5XFPScsGrZswVlTgyUhgYhZs3y7kbfZZt5Zm21+VlRurpGwWLeOxP9Y7tv9guCjkx/x860/53jtcdx0XcaSEWX8PSmqL+InJ1eyIT2Lu0oKifzwj5B7+0CGKyKD2Ouvv05aWhorV64kJyenw3PLly9n5syZFBUVsWrVKrZv3870z7zWKSgoYPv27X6JJTExkfnz55/1+ebmZm688UZcLheLFi3ihht6PkU32ClhISIifWavrODYJ9sAmLzocvZuMMoMRkxKJHpYGG63m+rnnwcg7qtf7fDm2O1288KBFwC4bvx1WMyWAY5+8Dh9wqLnHha2EAuhEVZaGtuor2nxOWFhTUkBkwl3SwvO6mqsw4b1KebueBIWAznatKG6itamJkxmM7Ep/istimufqtLSUEeorZWkrMB9UpXgTVg09JhMatj8IQDRlyzEZPXh5dyp3VD8MZht3Tbb/Kzo3FxKeZCmTz+lrboaa3vflcFod/luvr/6+zS1NQHGqZ/R8aMZEzeGMfFjGBM3hlFxo4iwReBwOfjTjj/x1O6neCPEzfb0VB7+6DEmX5AHUcnB/UFEuuB2u2lrdQU7jKCxhpj9nmjvjWeffbZTsgIgNTWVu+++m5tuugmAd999t1PCYvXq1X5LHOTm5rJ27dqzPn/PPfdw8OBBwsPD+fOf/+yXewabEhYiItJnu1e/h9vtImPi+cQmp3Hgw00A5FxknK5o2r6dloMHMYWFEXfN1R3Wflr2KQerDxJmCeNLo7800KEPKr70sDCuD6WlsY2G6hYS0qJ8upc5JARrYiJt5eU4Sk4GLGEBUGQv8vveZ1NVYtQOx6WkYrX5lsTpTmhEJOExsTTV1eJ21pCUOdFve39W/PAITGYTzQ0OGmtbveU/XWlq/7Qu/IILfLuJ53TFhKsgKqnXy2zp6YSOHUvLoUM0bNxE7BcGZwO3InuRN1kxZ/gcHrroIRLCE856vc1s49bptzI3bS53bbyLooaTXJ8Uw03vfpfvfPlfn+tEqgxOba0u/vLDc3BiTy/9x//kYgsd2H8vp06dysKFC8/6/OLFi72P9+zZMxAhdWnbtm387ne/A+D+++9n1KhRQYvFn9R0U0RE+sTldLJ7tVGrOeXSKziyvYyWxjaih4WRlWO8Qah+zjhdEfuFq7DExnZY7zldceV5VxIb2vG5z5tIT8KiFycsoP+TQqxpA9N4cyBHm3pHmg5P9/venrIQt6uGpBGBGwtntVmISw4HoKKbshBXczNN+/YBEPGZT/K61VIPu4wmt71ptvlZ3vGm3Xy6F0z2Vjvf/+D7VDVXMX7YeH6/8PfdJivONCN1Bv/64r+4ImkGTpOJxxqPcONbX6ekPjD/jojI0DFnzpxun8/IOF2GWF3deTx5Xl4ebrfbL3/OdrqitbWVG2+8EafTyfTp0/nxj3/cr595MNEJCxER6ZNj27dRX1VJeHQMo2fN5fX/3gnAxIuMZpuOsjLq2ptPxX/jGx3WljWW8f6J9wGjHOTzzlsS0tsTFv2eFJJG885dtAVotKknYTGQJSFVJUZyZFh6pt/3jk5I5eThg0bCIgATQs6UkBFF9alGKovqGZHT9Zvt5j17wOHAkpiILdOHn3fPy9Bqh2HnQfbFPscWtXABlU8+Sf3Gjbjb2nwrRQmwNlcbP1n/E47WHiU5PJk/XPIHImwRPu0RExLDw1c8zUXPXs4v2orYXr2fr7zxFe6bex9LRi4JUOQivrGGmPmP/+m5We65yhoy8J+3JyYmdvt8aOjp03DNzc2BDqdLP//5z9mzZw8Wi4Unn3wSi+XcOR02eH7TiIjIkLKrvdnm+QsXU1PawqljdZjNJibMNT69r/nnP6GtjfBp0wibMKHD2n8d+hdt7jamJ09n/LDxAx77YONputna1EhrcxMhYeHdXt/fExanR5ue6tP6nngSFsX2YlxuF2ZT4F9gVreXhPhzQoiHNdTo12Cz1RMaoIabHgnpURz5uKzbxpuN2z8FIGLaNN9quT85o9lmH2rAw6dMwRIbi7O2lqYdO4iYMcPnPQLl19t+zabiTYRZwnh00aOkRqb2aR+TycQXlvw3U5+6mDsTh7ET+M91/8l1p67jJzN/QojFh/GxIgFgMpkGvCTi887cy+bEwbJz505+9atfAfDjH/+4Uw+NoU4JCxER8VltWSn5O40a+smLLmfnGuPNYvbURCJjQ3E7HNS8aBw9/+zpCofTwT8P/RP4fI8yPVNoRAS2sHAczU3UV1UxLK37soao+DCgPycsjDdzjgCdsEiNTMVqstLqaqWssazPbx594S0J6eF/u75wu42SJbOlzu97f1ZvJoWc7l/hw4vS0n1Q8ml7s81v9ik2k8VC5MUXU/fmm9SvWzdoEhbP73/eW2L20EUPkZPQuTGeT1Imknn+dTzz6d95bMQE/tfcwD8O/oPa1loevujhoDT8E5GhK9BTQp555hkcDgdmsxmbzcbPf/7zLteuX7++w2PPdePGjePaa6/1S3yBoISFiIj4bPfq98DtZsTkaUTEJXFw6yEAci423izaP1hNW1kZlsREYi7reJR6xfEVVDRVkBSexKKsRQMe+2AVFT+M6pPFNFRX9piw8J6wqO5jD4vhge1hYTVbSY9O50TdCQrthQFPWDhamqkrLwMCc8KiudEoLWhr7Vyb7G/D0iMBqD7ViLPNhcXa8ZM9t8tF06ftJyx8+RRt76vGP8csgcjujzd3Jyo310hYrF1H8n/+Z5/38ZeNxRt5eNvDAPxw+g+5dMSl/tl44V1Yd/+LH53Yz9QlP+NHR57j3fx3mZs293PfJFhEfBPoKSFutzG62eVy8ctf/rJX+6xZs4Y1a9YAsGzZskGdsBjc51tERGTQcbY5OjTb3L/5JI5mJ3EpEWSMNY7Oe0eZXvsVTCGnj1C73W7+uvevgHG6wmbx3zSHoc6XPhZR8f3vYQHQVhKYExYAGdFG4qCgLvB9LKrbEy9h0TFExPi/gau90vg73NJYQ1trq9/3P1P0sDBCwiy4nG5qShs7Pd+an4+zthZTWFinUquzcrtPJyxyru7+2h5EzZ8HFgsthw/jKC7u1179daT6CD9Z9xNcbhfLRi3j38//d/9tHpMGc24GYMH2l/j+FGNk4S+3/pL82nz/3UdERLqlhIWIiPjk8NbNNNbWEBkXT/a0mexaYxzFn3JJhjGS8dAhGj/6CCwW4r/2tQ5rt57aysHqg4Rbw/nquK8GI/xBK8qHSSGeExbN9Q7aHE6f72VrnxLSVl6OK0BvwDOjBm5SiKccZFgAJoQ0NziwV5uBEHC7qS0r9fs9zmQymUjIMMpCKoo6l4U0espBJk3C1NvxraV7ofIwWEJh3OX9is8SF0f4tKkA2NcFb7RiZVMl31/9feod9VyQcgH3zrnX/6Ua834I4cOg4hA3tFqZlTqLprYmfrr+p7Q6A5u4EpFzR6CnhPz+97/v1dp7773Xu+bee+/1fv+1114buP8x+kAJCxER8cn2d98AYMripRQeqKWuvInQCCvjZhtvgqueMU5QRF96KbbUjqUAz+x9BoAvjf7S536U6Wf5csIiNMKK1Wb8Cm+o8f2NkyU+HlN7V/O20sC8AR/I0aZVxe0Ji3T/l4NUFNoxmUzexps1pYEfc5nQTR+Lpk93ABA+bVrvN/SWgyyG0P5POYlesAAI3nhTp8vJTzf8lOL6YjKjM/nvBf8dmNNaYbGQ+1MALOse5pcX/oy40Dj2V+3n99t/7//7iYhIJ0pYiIhIr5UcOsDJwwexWK1MvvRydq023oxOnJeGLdRCW3k5dW++CUDCDXkd1h6uPsym4k2YTWb+bcK/DXTog54vJyxMJpP3lEVDje8j1EwmkzeZFKjGm1kxWcDAJCyqTwZuQkh5oZE0iIhNBqDmVGAmq5yp+4SF0b8ifHovExZ+LAfxiMo1Rio2btmKq7Fz2UqgvXrkVbae3Eq4NZw/XPIH4sPiA3ezGTdC/EioLyVl5z95cN6DAPx9399ZX7S++7UiItJvSliIiEiveU5XjJ+3gOYGG0UHqjGZTUxaaLxRrHruOdwOB+HTphE+dWqHtX/b9zcAFmUtIjMmc0DjHgp8OWEBp/tY9HW0qdVTFhKghMWZJyw8DcECxXPCIj4ACYuaUw0AxCSlGF8P6AmLhg7fb6uupjXf6J8QPmVK7zY7tRuqjoI1DMb2rxzEI2T0aGzp6bhbW2nYstUve/aW0+Xk//YY41lvmXoLo+JGBfaG1hC45L+Mx5v+hwXxOXxjvDH56L82/RfljeWBvb+IyOecEhYiItIr9soKDm/dBMD0pV9kZ/vpivOmJhI9LAxXUxM1L/wDgGGfOV1R3ljO28feBuDbOd8euKCHkMj49oRFL05YQP8nhXgabwbqhEV6lNFPot7x/9k78/C4yvp932f2fSb70iRN030vpRst0lL2XRFEAQFRBEXQnyAgIiKIAipfBVERlFWRfREoUCgFWqB03/ckzb5n9n3m/P44M5OWps02k6Tte1/XXJnOnOWdNk1mnvN8nseLM+TMyDlAac3oaEyMhGRCsGgJJI6tvB5n8yA4LIqVphCfM0TQG0k9HtiwAQBdRQWarF66CvZvB9Fb0rI+SZIwn/QVZY0rV6blmL1lWe0yajw12HQ2Lh43SKn2ky+E4uMg7IWPH+Cns37KuKxxdAQ7uH3F7cTl+OCsQyAQCI5BhGAhEAgEgl6x4b23iMdilEyagjWnhF2rlOyD6YuVK+mu114j5nKhLS3FesqBdaXP7XiOSDzCjLwZTM/r5ZXhYwxrwmHh62zvlSNh4E0hiWrTDDWFGDQGCkyKKyGTYyGejnaioRAqtQZ7fkHaj+9sUUYe8kcp3+fOpsw7LHRGDbZcA3DgWEhXfsWM3h0oA+MgSczz5wPg+/TTtB73cMiynHJXfGvCtzBpTYNzYpUKTrtbub/mX+hdDfz+pN9jUBv4vPHzVDaPQCA4eli0aFEqlPKuu+7qcfvDhWIOF+66664+vabhghAsBAKBQNAjkVCQTe+/A8DMsy9g6ycNxKJx8kdaKRxtV65yJ8I2s6+4AkmtTu3rj/h5fufzAFw1+apBX/uRgjlxxTwWjRLwuHvePplh0V+HRWIkJFMOC+gaC6nxZK7a1J1o7bDl5qHWaNJ67HAwit+lhJqWjB+pnK+1hXis780sfSU5FtJ2gGCh5FeYehu42bgROqtAa4JxZ6R1fea5c0GlIlxVRaQh8yIOwNrmtWxu24xeredbE741KOdMMeokGL0Y4lFYfh8Vjgpum3MbAA+ve5hNrZsGdz0CgUBwjCAEC4FAIBD0yPYVywl6PdjzCyifPostHykW/GmLS5EkCe+HHxLetw+VzYbjwgOv5L6651XcYTel1lIWlS4agtUfGag1Wow2pTmlNzkWFodyBb7fGRap0M3MfdgcjKYQd7uSIWDLy0v7sV2JcRCjVUt2cQFqrZZ4LIa7LfO5BV8O3pQjEQKbNyvr6a1gkXRXjDsDdOa0rk9ts2GYMgUA/9q1aT32oXhqqyKKXjD6AnKMOYNyzgM45U7l66bnoWU7F469kDPKzyAqR7nl41vwhD2DvyaBQCA4yhGChUAgEAgOiyzLrHtbCds87szz2LuuDZ8rjMmmY8zxSnNC+xOKTTvrkktQmbs+GIVjYf615V+A4q5Qq9QIDk2yKcTXixyLrpaQgWVYRBsaMxaKmWwKqfPUZeT4AJ6EeGDNyU/7sZPjIPY8E5JKhaNAcaUMxljIl4M3gzt2IgeDqOx2dKNG9XyADI6DJDElRlOSoyqZpMpVxfK65UhIfHvSELUMFR8HE88HZFj2GyRJ4lcn/IoRlhHUe+u557N7Mh4wKxAIBMcaQrAQCAQCwWGpWr+G9roatAYjkxeeyrp3FXv/9FNKUWtU+NetJ7BmLWi1ZF1+2QH7vr73dVr8LeQb8/nqmK8OweqPLJJNIZ7eOCySGRauMPF43z8kaYsUh0Xc7yfuycyV4RKrEoJZ487gSEhbCwDW3Mw5LBwFRgDsBcrf2aAEb45QhL+OBi/xuNxVZzpjOpKqF2/fGtaBcx9ozTDmtIysMdkElAwDTSdf/uCfbBlaWLqQcnt52s/XaxbfAZIKdrwJdWuw6qzcf9L9qCU1S6qX8Nqe14ZubQKBQHAUIgQLgUAgEByWL15/EYDpp51Fw54AnY0+dAY1k09SWhPaHv07AI6vXoC2oCv0MBKP8M/N/wTgO1O+g06tG+SVH3kkHRa9GQkx2nRIKgk5LhNwh/t8LpXRiDqRm5GpHIvBGAlJOixsGRAsUg6LfCXcMatw8BwW9nwTaq2KaDiOuzVAYEMf8yuS7orxZ4IuM+GUydGU4M6dxP3+tBzT5+zk1ft/zZ8u+1qqRrk90M7/9v4PGAY5OHnjYXoiP+MDJYhzet50bjjuBgB+u+q3VDorh2p1AoFAcNQhBAuBQCAQHJK6HVup37ENtUbDzLPOZ927+wCYsqgEvVFDYOtWfB99DCoVOddcc8C+b1e+Tb23nmxDNl8f9/WhWP4RR7La1O/q7HFblUrCbFdEoP7mWHQ1hWTmA3hSsGgPtuOPpOcD7ZdJ5klkxmGhrNmRECwcBcoYjbM5c0GlSVQqKVVv2l7vxZ9sCJnRC8FClmHra8r9DI2DAGgLC5UslFiMwOYtAz5e3bYtPHPbj6lct5p4LMpnL/6HcDDA8zufJxQLMSVnCjPzZ6Zh5QNk0W2g0kLVR1C5HFBE2ROKTiAYC/Kzj39GONZ3EVEgEAgEByMEC4FAIBAcktWvvwTApIWn4G5T01zlRq1VpapM2//+KAC2c89BV1aW2i8Wj/H45scBuHLylRg1xkFe+ZGJ2aE4HnzOngULZfuBNYVoMtwUYtPZcOgdQGZcFrIspwSLjDgsmg8cCXEkR0KaMi9YQFeORcuOJqKNjaBWY5w6pecd69eCqxZ0FhhzakbXaEzlWKzv9zHkeJxVr77AC3ffjq+zg+xiZZQo6POy/v23+e+O/wJw5ZQrkSRpwGseMI4ymHW1cv+Du0GWUUkqfvuV35JtyGZX5y6e3f7s0K5RIBAIjhKEYCEQCASCbmndV0XlutVIkorZ53+dtQl3xcT5RZhsOkK7d+NZuhSA3O9//4B939v3HtXuamw6G5eMv2TQ136kYnY4gH4IFq5+OiwSIw7RxsxlMmRyLCTk9xEJKqKCNSc3rccO+iIEfRFACd0EcBQqDgtXcxNyPJ7W83VHUrBo3aVUtxrGjz8g1PaQpMZBzgJtZsVC0wBzLAIeN6/e/2tW/PdpZDnOpK+czOW/+xOnfu+HAHz2vxdxBjopNhdzallmxZc+cdLNSl1s/VrY8RYAucZcbpp1EwCPbnyUVn/m22QEAoHgaEcIFgKBQCDoli8S7oqx8xYQCVmo3daBpJI47jTFSdH26D8AsJ5+OvoxY1L7xeU4/9ikPHf5pMsxa9Nbp3g00+WwcPZue5syEtJvwaIosw4L6ArezIRgkcyvMFptaPWGtB47mV9hdujR6pV2G2tuHpJKRTQSxuvsuclloKSCN9sU4aRXdaaDNA6SJLmmwIYNfW7IaNi1nWdu/TFVG9ai0eo4/dobOfP6n6I1GJi08BSMNjsxp5fyJhPfnvRtNCpNJl5C/7Dkw7wfKPeX3QPxGADnVpzLtNxp+KN+/rzuz0O4QIFAIDg6EIKFQCAQCA7C2dzEzk8/AWDOBRelmkHGzsrHlmskXF2N++23Aci97toD9l26byl7nHuwaC1cNvHA1hDB4UkKFn5nZ68+/JkcXU0h/UGb4ZEQgDKrInBlQrDIbH5FYhwkv8uhoNZosOcpwbKDMRaSdFj4ogaian2qleOwNG4Ed50yDjL6lMwuEDBMmICk1xNzOglXV/d6v3VL/sfzd92Gp72VrKJiLr33j0xdfHpq5EOr0+OYNxmAaVVZw7NlaP6NYLBD6w7YrIQTqyQVt865FVBakja3bh7KFQoEAsERjxAsBAKBQHAQa/73CrIcp3z6TLSGQvauV6ojZ54xEoC2xx6DeBzLwoUYJk1K7ReLx3hkwyOA4q6w6WyDv/gjGJPdAUA0EiYc6DmkMhm66e+nw0JTqGQyRBoz13qRHAmp8aS/2jSjDSHNiYaQggMbNrqqTTMvWBitOkw2LQA+c1HvHBa73lW+ViwCbXpdJ90h6XQYJivCQmDDxl7tU71hLR8++SjxWIzxJ3yFy377J/JGjjpou/eztxNVxclyaejYtTet604LRgcs+Ily/8N7IaoIh9PypnH+6PMBuO+L+4jLmR8fEggEgqMVIVgIBAKB4AB8zk62LFeyKeZccBGr36wCGUZNzyVnhIVIfT2u15W6wZwvuSverHyTKlcVdr2dKyZdMehrP9LR6g3ojMoH5N7kWJjsA3RYJEZCoi2tyLFYv47RE0nBos5Tl/Zju9sHoSEk70DBIpljMVjBmw6r8mE3UDgB7YjinnfYnRAsxp2RwVUdSF+DN7evWA7AlJNP45wf34LedHDt6ubWzax2b2BvqfLvsPp/r6RlrWln7nVgKQBnDax9IvXwT2b+BJPGxKa2TbxV+dYQLlAgEAiObIRgIRAIBIID+OL1l4hFIhSNHY/RPoo9axV3xZzzKgBo/etfIRrFNG8epv2u+EZiEf628W8AXD3laqw66+Av/iigL00h5oRg0W+HRW4uqFQQjRJtb+/XMXqizKaMhDT6GonEImk9dsphkZMBh0XLgQ0hSQa7KcQmOwHwj5jUc0OGtwXq1yn3x56e2YXth7EPwZuyLLNvs7LdxBNPPuRremrbUwAULJyFJKmo3rCW1prqNKw2zehMsFAZAeGj+yHoBiDPlMc105Sq5/9b+38Zq/UVCASCox0hWAgEAoEghbejnY1LlWyK+Rddyuq3qgEYPTOf3BILocoqXK++BkD+T358wL4v736Zem89ucZcvjXhW4O57KOKvgkWykhIwBMhFuu77VzSaNDk5wMQbW7u8/69IceQg1FjJC7HafCld/SkK8MiP63HlWU5Fbppzz+Ew2IQRkIAzG5llMZnLOx5491LARmKZoC1F9uniWRTSGj3bmIez2G3bavdh8/ZiUavp3j8xG63qffWs3Sf4vK6/IRrGDvnBEAZVRuWzLwCcsaAvx1WdgVtXjHpCkqtpbQGWnls82NDuECBQCA4chGChUAgEAhSrHrtBWKRCMXjJ2HKGkvl+laQYPa55QC0PvyQkl2xePEBAYCBaCDVDPL9ad/HqMlsleLRjGm/4M2eMJi1qNTKFWp/f8dCCpQQyUwFb0qSlGoKqXGnN8ciUxkWfneYSDCGJIE999AOi762YvQHY902AFwRU8/nG4JxEABNXh7akhKQZQKbNh12232blLGRkolT0Gi13W7z6u5Xictx5hXNY3z2eGadfyEAO1Z+hKe9Lb2LTwdqLZzyK+X+Z4+AW/m/pFPruHnWzQA8tfWpjATPCgQCwdGOECwEAoFAAIC7rYXNHygfeBZ84/KUu2LsrAJyii0Et23Ds+QdkCTyfnzjAfs+v+N5WgOtjLCM4KKxFw320o8qzA4H0DuHhaSSMNmSwZv9EyySwZvRpsw4LABKLUqORb23Pm3HjMdieDuUMZZ0Z1gkG0KsOQbU2gPfKiVDN8MBPwGPO63n/TJyLIZ252qkeIxwRMLbeZjRn1gE9n6o3B87uIIFHFhvejiS4yAjp8445DZJd0UyuLJozHhKJk4hHouxbskbA15rRph4HpTMgWgAlv8u9fDJpSdzQtEJROIR/rD6D0O4QIFAIDgyEYKFQCAQCAD4/JXniUWjlE6ehsFaTvWmNiQJZp9TDkDLnxWrs+2cczCMH5/azx12888t/wTguunXoVV3f9VU0DvM9uRIiLNX23cFb/Yvx0JbmHBYNDf1a//ekHRYpPMKs7ezHVmOo1JrMCfaVdLFocZBQKnbtOTkKttlOMciUluLFPBhDLYlzneYHISazyDkBnMeFPeiTSTNGGdMByCwfsMht4lGItRt3wLAyGndr3FP5x4qXZVoVVoWlS5KPT7rPMVlsen9dwj5h2EehCTB6fco99c/A607Ew9L3DrnVtSSmmW1y/is4bMhXKRAIBAceQjBoo+88cYbXHzxxZSXl2MwGMjPz2f+/Pn8/ve/x+1O35WWWCzGli1bePLJJ7nhhhs44YQTMJlMSJKEJElcddVVaTuXQCAQOJub2Lr8fUBxV6x6owqAcXMLySo041+7Ft9HH4NaTd4NPzpg38c3PY4z5KTCXsG5FecO+tqPNlIZFq6eHRaQjmrTRFNIBh0WScEinU0h7lYlDNaam4ukSu/bmVRDSDeCBew3FpLhHIvgzl0AWNTKepJCSrck60zHnq4EqQ4yqeDNjRuR493nqTTu2k40FMJkd5BbOrLbbZLuivnF8w8I7q04bhbZI0oJB/xs+uCd9C4+XZTNg/HngByH93+deni0YzTfnPBNAB5Y/QCReHrDZwUCgeBoRggWvcTr9XLBBRdwwQUX8NJLL7Fv3z5CoRCtra189tln3HLLLUyZMoXPP/88Lef7xje+wdSpU/nOd77DX/7yFz7//HMCgUBaji0QCARf5vOXnyMei1E+fSYyhdRsbUelkph1djmyLNP6f38CwPH1r6Mb2fVBo9ZTy7PbnwXg5lk3o1FphmL5RxV9Cd2ErqaQflebJh0WTRl0WFgSgoU3fYJFRhtCmpXft/b87rNYHAWDU20a2qUIFja78nYtOarSLfsLFkOAYfx4JKORuMdDeO/ebrfZfxzkUO0gS2sUweK0kacd8LikUjHrvK8BsO7t14lFh+mH/lN/BZIKdr4F+7rcFD+Y/gMcegd7nHt4YecLQ7hAgUAgOLIQgkUviMViXHzxxbzxhjI3WVBQwB133MF//vMf/vKXv7BgwQIAamtrOfvss9m+fXtazrk/2dnZjB07dsDHFQgEgi/TXlfDto+V2fcTLrqMlS/vAWDySSNw5Jvwfvgh/jVrkHQ6cn/4gwP2/dPaPxGJRzih6AROHHHioK/9aKQvoZsApoTDor8jIZqCZIZF5gSLUquSYVHrqU1bUGVXQ0gmKk0TDouCoXVYhHYpYwWOIsVp4Gw9hMOifS+07waVBkafnNE1HQpJo8E4dSoA/kPkWCQDNw81DlLrrmV3527UkvqAcZAkE088GXNWNt6OdrZ/sjwNq84AeePhuG8r95f+EhLf73a9nRtnKtk/j6x/hI5gx1CtUCAQCI4ohGDRCx5//HHeeUexH06aNImNGzdyzz338K1vfYvrr7+eFStWcNNNNwHQ2dnJtddeO+Bzzpkzh9tuu40XX3yRyspK2tvbuf322wd8XIFAIPgyH//7CWQ5zpjZ8/B02mmr9aIzqJl9TjlyOEzL/Q8AkH3VVWgLu6oSN7Rs4L1976GSVNw8++ZDXjEV9I2kw8LvchGPx3rYGswOfWL7ATosWloOaeUfKMWWYiQkAtFA2j6oedoz0xAix2VcrYqTwXEoh8UgVZsGEw6L7LHK/7tDOix2v6d8LTsBDPaMrulwHC54M+D10FSpiKFlU6d3u/8HNR8AMKtwFnb9wa9Do9Vy/DlfBeCLN17O2Pdrf4nHZXZ90cRGzbU0xacRq10P2/+Xev7CMRcyMXsinoiHh9Y9NIQrFQgEgiMHIVj0QCwW49e/7ppDfOaZZyhIVMDtz/3338+MxPzmJ598wnvvvTeg895+++387ne/46KLLmLUqFEDOpZAIBAcipotG6lctxqVWs38b1zB568rVu6ZZ47EaNXR+d//Et63D3VODjnfvya1X1yO88BqRcj42pivMS5r3JCs/2jEZLODJCHLcQK9yEZKtoT022GRl6dkHkQixDoyc9VXp9ZRYFZ+d6ZrLCRTDguvM0QsEkellrBmG7rdZv9q00wR9/uJ1CghpbnTRwPgbg0Qj3XzIT05DjLuzIytpzccLnizdusmkGVySsqwZud2u39SsDil7JRDnmPaKWeiN5vpbKhjz5r0jOGmi1WvV7L0X9tY8UYzL7f8mn80/4eXHmtnxfM72L2mGb8zwq2zbwXgld2vsK192xCvWCAQHE0sWrQolXfYm1t1dfVQL7lXCMGiBz7++GMaE930CxcuZObMmd1up1arufHGrpq/5557blDWJxAIBP1Fjsf56Jl/ATDt1LOo3S7j7QhhydIzfXEpMaeT1kf+CkDej29EbbGk9n2n6h02t23GqDHyo+N+1O3xBf1DpVYrogW9y7FIOiz6m2EhabVocpUPkJHGQcixSFPwZqYyLJzNytiFLdeISt392yRHIqg04HZlrLEitGcPyDLq3FwcowpRa1XE4zKejuCXNvTCvpXK/XGDX2e6P8ngzXBlJbEvtdykxkEOUWfaFmhjY+tGABaXLj7kOfQmEzNOPwcgVcM8HNi3tZ117+4DIGeEGYNZQxwtzYGRbPywgfce38rTt3/Kpv8LcEXd7UyrP5m/vP1PIqHoEK9cIBAIhjciHa0HlixZkrp/9tlnH3bbs846q9v9BAKBYDiyfcVyWqr3ojOamHnWRbz0gHK1b+75FWh0apr+8FfiLhf6ceNwfP3rqf38ET//t+7/APjulO+Sa+z+aqmg/5jtDvwuZ69yLJKhmwFPmHgsfsgP2YdDU1hItKWFaHMTTJ3S5/17Q6m1lDXNa9JWbZpyWOTlp+V4SVw95FcA6E1mDBYrQa8Hd1sLeWXlaV0DQHCnkl9hGDcWSSVhzzPS0eDD2RLAnrff2iqXQywMWaMgZ0za19EXNFlZ6MrLCVdXE9i4EcvChannkoGbZYcQLJbVLENGZmru1JQb51CMnbuAVa++QP3ObcTjMVQqdbpeQr/wdoZ4/wnl5+eUhSNY+K3xyLKM+/0naHr/VZrlGTTZz6GtPoDfFcbkKuAELoAa+OeGj7jkZ/PIKjQP6WsQCARHF6+++mqP2+Tnp/f3Z6YQgkUPbN68OXV/9uzZh922sLCQ0tJSamtraW5uprW1lby89IeBCQQCwUCJhEN88t+nAZj7tW+w9ZNOwoEoOSUWxs0tJFRZRed/FKdYwW23Iqm7PhA8uulRmnxNFJuLuWLyFUOy/qMdkyMLaqrxuZw9bmu0aJFUEnJcxu+OYMnS9/l82oICgkDkCKk2Dfl9hAMJJ0TaHRaHbwhJYs3JJej14GlvzYhgEdq1GwD9uPHKehKChavFD5Nzujbclaj4HHcGDIMcGeNxxxGursa/YUNKsHA2N+FqbkKlVlM6qXtBbFnNMgAWlx3aXZEkb2Q5OqOJcMBPa3UVBRVDJ9TEY3He++cWgt4IuaUWFlykrEWSJOwnX45920OM7/wYFliIzL+Z1n0emqpcrNqwCV9NHKPPyv8e2cg3bpuNwawdstchEAiOLr761a8O9RLShhgJ6YGdiSscQK+yJPbfZv99BQKBYDix7q3X8ba3Yc3No2LmqWz+SPkQueDCMahUEi2//z1Eo1gWLsQ8f35qv0pnJU9vVYSO2+bchlFz+A91gv7Rl2pTSSWlciz87n7mWCTCVKPNR0a1adJdYbDa0Bq6z5noL8kmDkf+oR0WoAgWAJ62trSeP0ko8R5CP27cAetx7h+8KcuwW6kBHao60y+THAvZP3gzOQ5SNHYCOuPBf6+esIdVTauAw+dXJFGp1IwYPxGAuu1bB7jigfHFm1U07nGhNag543tT0Gj3c3todHDKL5X7K/+MNtxO8VgHM08fydU3nc4nC57CrW/H0xrknX9sIdZdPolAIBAc4wjBogec+81g5ub2bHvOyem66uH80vymQCAQDAf8LidfvP4iACd+8wo+fbWaeExm5JQcSidl41n2Id4PPwSNhvxbb0ntJ8sy9666l6gcZWHJQk4uG5r6xGOBvggWAOZktamzf4JFsv0lkxkWyWrTdDgsMpVfAV0ZFodqCEliTZw72VaSTmRZJpRoCNGPVwSLpOMjObICQONG8DaB1gzlw6NWOClYBDduQk5UtO/bnKwzndHtPh/XfUw0HqXCXsEoe++CxkdMmAxAw86hC66s3dHB2neU3IqTL5/Q/RjRpK9B8UyI+OCj+1MP69V6frLgBpZMeIywKkj9zk4+eX532mp/BQLBwFi+fHkqnPKuu+4CoKGhgdtvv53JkydjsViw2Wwcd9xx3H333Xg8nqFd8FGMECx6wOv1pu4benEVx2jseoMz3L5xQ6EQbrf7gJtAIDj2+Pg/TxIOBCioGIPONJHabR2oNBInfmMscb+f5t/8BoCc71yFvqIitd+SqiV80fQFerWe2+bcNlTLPyboqjZ19mp7k31gwZuaRLVptCmDDovESEiLv4VQrH/CSpJMNYTEYnE8bUqo5eEyLGB/h0X6BYtoS6sSWqlSoR+tNIR067BItoOMPhk0fR8FygT6MaNRWSzE/X5Cu3cTj8eo3bIJgJFTj+t2n960g3yZ4oTDomHX9iH5kB/whJXcChkmfaWYsbMOkbuhUsFpdyv31z4J7XtTTy0qXcSkMRW8P+5pZGS2flzP5uX1mV+8QCDoM++99x5Tp07ld7/7Hdu2bcPn8+HxeNiwYQO/+tWvmDVrFvX14v9vJhCCxTHE7373O+x2e+pWWlo61EsSCASDTP2ObWxd/j4AJ112DStfStSYnj4SR76Jtr/9nUhDA5riInJ/8IPUft6wlz+s+QMA35v6vdSHT0FmMPXTYeHvZ7VpymHRnLkMC4fegVlrRkam3juwN3WethYAbOmuNO0IEo/LqLWqVJjpoUiKJZ729I+EJN0VuvJyVImLJfaEYOFpD3aNDuxOCBbDZBwEQFKrMU6bBkBg/XpaKvcS9HnRm8wUjh570PbBaJAV9SuAvgkWhaPHolKr8XZ24G5tSc/ie4ksyyx7Zgd+V5isQhMnXnzw6zqAUV9R/o3iUfjg16mHJUniljm30JC9k8/L3gBgxYu7qd2WmXphgUDQPzZs2MCFF16I1+vlqquu4vHHH+f555/n7rvvpjDx+3PXrl185zvfGeKVdnHuuecyYsQIdDodWVlZTJ48mWuuuYYPP/xwqJfWZ0ToZg9YLBY6O5U3jMFgEMt+tX7dEQh0XfmwWq0ZXVtf+fnPf85Pf/rT1J/dbrcQLQSCY4h4LMYH//obAFNOPo36PQa8nSGs2QZmnjmS0J49tD/xBACFv/gFKlPXFea/bvwrrYFWyqxlfGfK8PmFfLRitvdNsBiww6IgkWHR1IQsy0gZCG+UJIkSSwk7O3dS56mjwl7R806HIFMOC3e74q6w5RiQVIf/O0g5LDIiWByYXwFgdujQ6FREw4oLxGENQv065clhJFiAErzp+/RTAhs2UGtQMh1KJ09FpT64zePzxs8JRAMUmguZlDOp1+fQ6g3kl1fQtHc3Dbu2Y88/fLNIOtm8vJ7qTW2oNSpO/94UtLpetJScepeSN7LtdahdDaVKkHuFvYJLJ17K0/GnKYuOYUTDZN55bAsX3Xq8aA4RCIYJr7/+OsXFxbz33ntMnjz5gOeuueYaZs+eTV1dHUuXLmXdunXMnDnzgG1qampYt25dWtaSm5vLiSf2PAL41ltvpe47nU6cTifbtm3j8ccfZ/HixTz77LMUFRWlZU2ZRggWPeBwOFKCRVtbW4+CRXt7+wH7Dif0ej16/fCwjAoEgsFnw3tv0bqvCoPZwrRTL+G1/9sOwInfGItGq6Lm13crQZsnn4z1lK4rnVvbt/Kf7f8B4Pa5t6NXi58jmSY1EjJYDov8PJAk5EiEWGcnmuzsfh2nJ0qtpezs3DngatNkbkS6HRaehGBhzel5BDR5bk9HW9pFnqTDwjC+S7CQJAl7non2ei/OFj+OthWADHkTwTa83nQapyccFhs3sc+kmHl7GgdZXLq4z3+HxeMn0bR3N/U7tzPxxEX9X3AfaKvz8unLewCY//XR5JYc/n1hioLJMOMy2PAsvHMbfHepMi4CXDf9Ot6sfJO3Sv/JdfLvCDfCW3/dxEW3zhLNIYKDkGWZaGhgY3VHMhq9PiOiek88++yzB4kVoLRE/uIXv+AHCVfqkiVLDhIsli1bljb3xcKFC1m+fPkhn8/KyuK0005j1qxZjBgxArVaTX19PR988AFLlixRHGLLlnHCCSfw+eefpxwiwxkhWPTA+PHjqaqqAqCqqory8vLDbp/cNrmvQCAQDAe8nR2sfP5ZAE781hWsfquReEymbHIOo6bn4n7jDfyrVyMZDBT84hep/SKxCL9c+Uticowzy89kwYgFQ/USjimSgkXQ5yUaiaDRHv5Di3mADgtJp0Odm0OstY1IY2PGBIt0VZumHBZpDt3sEix6br+xZOeAJBGLRAi4XZjsjrStI7gzEbi5n8MClCDQ9novrpYA+JcrD1YsStt504Vh6lQA/DX7qM9WxLTuAjej8SjLa5cDfRsHSVI8biLr3n6dhl3b+7vUPhEJx3jv8S3EonHKp+YwdVEfR+NO+SVsew3q18DmF2H6JQBYdVZ+MvMn3PnpnTw/8g9cGbwLV0uAdx/bwrk3TEetFhPcgi6ioRAPXXnRUC9jyLjxqZfS3g7VEzNmzODkkw8dNH7aaael7m/ZsmUwltQtv/vd7zj++OPR6XQHPffTn/6UNWvW8PWvf52amhr27dvH1Vdfzdtvvz0EK+0b4idgD0xN/NIFWL169WG3bW5uprZWuWqUn59PXl7608sFAoGgP3z87ycIB/wUjh6LzjSd2u2dqDUqvvKNscScTpof+D0AuT/8IbqSEan9Ht/8OLs7d5Olz+Lnc38+VMs/5tCbzag1yjUFv6tnl4XZkRQs+n/VTZscC8lgjkU6qk3jsRjeDsXNmDGHRXbPLiK1Ros5IVKkcyxEjkQI71WyZfRfuvBhTwVv+qHqI+XBioVpO3e60GRloRs5kk6zgXgshi0vH0dh8UHbrW9ZjzPkxKF3MLNgZjdHOjzJatO2fdWEA/4eth44K1/cTWeTH5Ndx+IrJvb9Kq+1EL6SGM19/y4I+1JPXTDmAqbkTKFdaqF6/go0ejV1OzpZ8cLu9L0AgUDQL0444YTDPl9S0iVeJp35+3PVVVchy3JabodzV5xwwgndihVJZs2axTvvvJNy3C9ZsqTHz7fDAeGw6IEzzzyT3/9eeSO/ZMkSbrnllkNuu79CdfbZZ2d8bQKBQNAbqjetZ/snH4IkMf+S7/HBU8qHodnnluMoMFF/86+ItbejGzOanKuuTO23s2Mn/9j0D0AZBck2ZOaqu+BgJEnC5MjC09aKz9mJLTf/sNubEiMhAXeYeFxG1UP+QndoCgtgyxYiGWwKSUe1qbezAzkeR6XWpJwo6cLdruRQ2XrhsAAlx8Ln7MTd3kpBxZi0rCFcXY0ciaAymdAWH/ghP1Vt2tABnkqQ1DByeLqeDNOm0bbmUwDKpszo9sN9chxkYclCNKq+vyW1ZOdgy8vH3dpC4+5dh6xNTQd717ew9ZMGkODUqyZhtB76Q8FhmXc9rH0KnPtgxZ9gseJoU0kqfj7351z29mW80vEf/vz1U9n+nIctH9WTXWTuu5tDcNSi0eu58amXhnoZQ4ZmCMbbc3NzD/v8/iP3wWAw08sZEBMnTuTb3/42jz/+OABvvvkms2fPHuJVHR7hsOiBhQsXpmZ7li9ffsjAlFgsxkMPPZT68ze/+c1BWZ9AIBAcjnDAz9J/PAzAjNPPYefncUL+KHllVo47rQzP++/jfvNNUKko/u1vkRLKfDQe5c5P7yQqR1lcupgzys8YypdxTGJONYU4e9zWaNUhSSDLSt1if9AWKjkI0aYMOiwSIyH13vp+V1G6Ew0h1pwcJFV638b0JcNC2S6RY9GWPodFcFfXOMiXX1+q2rQpUZs+4ngw2NJ27nRimDyJNqsisHQnJMiyzLKaZUD/xkGSFI9TXBb1O7f1+xg94e0M8uEzOwCYeXoZpRMHIN5qDXD6Pcr9Tx8CZ1eey7S8aVww+gIA/uH+I/MuUIJpP3lhN7XbRXOIQEGSJLQGwzF7G4r8ClWaf9cMNfuPt2zfPjgjdQNBOCx6QK1Wc+edd/LDH/4QgCuuuIJly5aRn3/g1a7bbruNDRs2ALBgwQLOOKP7N/dPPvlkKnSlp9AUgUAgGCifPPcU7tYWbHkFlEw6m/ef3INKJbH4ignE3S4a71Iq9nK+e3WqihDgya1Psq19G1adlTvm3TEkbxCOdfoSvKlSSRhtOvyuMH5XuMdKzu7QFiotC5Gmxj7v21uKzEWoJBWBaID2YDu5xsNfteoOT4YaQmKxOD6nMlLTe8Ei2RTSmrZ1hA6RXwFdDguvR0XMpEE9DPMrksjlI/EY9SDLlE2ZftDz2zq20ehrxKgxckLx4e3Wh6N4/ER2rPwoozkWq9+uJuSPkj/Sypzz+99uk2Li+TDyRNi3At7/FVz0r9RTPzn+J3xQ8wFb27dSfcI6xs+dwM5VTbz72BYuunUWjgLTYQ4sEAiGI0PREnI49o8tcPbioshQIwSLXnDNNdfw6quvsnTpUrZu3cr06dO55pprmDRpEh0dHTz33HOsWKF0iDscDh599NEBn7Oqqop//vOfBzy2adOm1P3169dzxx13HPD84sWLWbx48YDPLRAIjg5qt21mw7tKrdWiK3/IJy/WAHDcGWXkllipv/lnxNra0I0eTe6PfpTab0fHDh7Z8AgAt86+lTyTyOMZCvpabWq26/G7wvicIfLK+l6r3VVtmjmHhVatpdBUSIOvgTpPXb8Ei2R+hSUrJ61r83WGkGVQa1SYemn3TwkWbWkULJIOi/EHCxYmmw6tXk0kBK5YIdnDML8iSUs8AoAtGEYXjR30/Af7lHGQE0eciEHT/wC9EeOVKtTG3TuIx2OoVL2oGO0D0UiM3V8o/yfmXzgmPQGYkgRn/hYeXQhbXoY534eyeQDkGnO5bvp1/GHNH3ho/Z957Ruv42zx01zl5q2/buLrtxwvmkMEgiOMwWwJ6Q1t+7kCh1urZXcIwaIXaDQaXn75ZS699FLefPNNmpqauOeeew7arqSkhOeff77bypu+sm/fPu69995DPr9p06YDBIzkOoVgIRAIACKhIO/9XRlTm3rKGezbaiTgdpFVaGL22aMOHAX53W9RJeYvg9Egt358K9F4lEWlizh/9PlD+TKOaUyOvgkWyRyL/gZvphwWzZnLsAAlx6LB10Ctp5YZ+TP6vL/PqVjjLdnpFSyS4yCWbD1SLzNAki6PdIZuBnftBMDQjcNCkiTs2RJtjeCinOyS4Tt33FhdCUC2N0Bw6zYsXznwimByHGRx2cDet+SWjkRrMBIOBGivrSFv5KgBHe/L1G7rIBKKYcnSUzzWkb4DF02Hmd+GdU/DklvhmmWQEFsunXgpr+x+hUpXJf/Y+ig3/OD/8eLvVuNs9vPuY1s474bpqERziEAg6Ccffvhh6v6R0Gopftr1EqvVyv/+9z9ee+01LrzwQkpLS9Hr9eTm5jJ37lzuv/9+tmzZwvz584d6qQKBQMDK55/F2dyIJTuHkdPOZ+fnTSDB4ismIrs6aPzVXcDBoyAPrn2QSlclucZcfj3/12IUZAgx91GwSI6B+N39y7DQFHVlWPQ3X6I3DLTa1NuRECyy0hsC604IFrZejoPAfhkWaRIsYh4P0QZlJKe7kRAAh155/U7LXNAMfvhcb0lmSmT5ggS3HZgvUeepY69rLxpJw0klJw3oPCq1mqIx4xLnTP9YyN71inum4ri8XgtZvWbxnaC3QeMGWNM1FqJVabl1zq0APLfjORpiNZz9w2lodCrqdnSy8uU96V2HQCDIKIPVEtIbdu3axTPPPJP687nnnjvAV5d5hGDRRy644AJefvllampqCAaDtLa28vnnn3PLLbdgt9t73H//b9jDfcMtWrSoz9/Ad911V/peqEAgOGKp37GNtW+/DsBXLr2WFclRkFPLKCi30vDz24m1t6MfO/aAUZCP6z7muR3PAfCbBb8RrSBDjDlh0/T1otYU9nNYOPvnsNAkspnkUIhYBmdaU4JFP6tNvZ3KB3ZzmgULT6IhxNrLhhAAayI53tvZTjx+8NhDX0mOg2gKC1Ef4j2FPabUXLq0kwZ8vkwRDvhp3VcFdC9YfNqgtIdMy5uGTTfw0NDixFhIunMsYtE4VRsVMWr0cYdv6ukXljw45U7l/gd3g7srP2Z+8XxOKTuFmBzjvtX3kVti4bTvKA7eTcvqRAinQCA4gIceeohPP/30sNusX7+eM844I9VkcvrppzN37tzBWN6AEIKFQCAQHEWE/D7e/ssfQJaZ9JXF7FlnJOiLkFtqYe75FXQ8/TS+Tz5B0usZ8eAfU6Mg7YF2frnylwBcPvFyFowYnlWJxxJ9Cd2ELoeFz9U/h4VKp0Odo4xZRDNYbVpiGZjDwteZGYeFpyPREJLde4eF2ZGFSq1Gjsfxdfbu3+lwpPIrxo3tfoNYBIdvDQDOaMGAz5cp2utqQZYxmS0YorGDBIuV9SsB0vZzZsS4CUD6BYu6nZ2EA1GMNh2Fo3u+KNUvZl0NxTMh5IZ3f37AUzfPuhm9Ws+qxlW8X/M+FcflMXXhCACWPbOdcCCamTUJBIIjjmXLlrFgwQLGjBnDddddx1/+8heee+45XnjhBf70pz9x3nnnMWvWLKqrqwEYOXIkTzzxxNAuupeIDAuBQCA4SpBlmaWPPYK7tQV7fgF5Feew6o16NFoVp393MpHdO2j544MAFNx2K/qxyoeiuBznFyt/QUewgzGOMfzk+J8M4asQJNm/1lSW5R7Hc8wJh4W/nxkWANqCAmLt7USamjBMnNjv4xyOUmspALWe2h62PBhZlvEmMyzSHLrZ10pTAJVKjTkrG09bK5721lQIZ38J7kzkVxxqprh+LXYU54LLOXyvObXV7QMgt6wcPt1IpLaWmMuF2m4nGo/yRdMXgOIiSAdF4yaAJOFqbsLn7Ez93xkoe9cpFbqjZ+ShSvc4SBKVGs77M/xjEWx9FWZcDmNPBRQ30nemfIe/b/w7v1/9e04ccSLzvjaafVvbcbcFWfnyHk6+fEJm1iUQCI5I9u7dy969ew+7zRlnnMG//vUviouLB2lVA2P4/rYTCAQCQZ/Y9vEydn76MZJKxYJvXs/qtxsAWHDxWOw2ifqbboZIBMupp+D45jdT+/1j0z9YWb8SvVrP/Sfdj149fOfijyVMdgcA0XCIcCDQi+0H5rCA/XIsmjPXFJIcCWkNtBKI9vy69icc8BMNKYKMOSs9H0qTuPshWCjbpy/HIrRLGfc4VH4FlctxaJSxAW9niGh44GMomaC9ThGjcspHoS1R/r2D2xX3w86OnXgjXqxaKxOz0yOK6U1mcktHAtCQphyLeCxO1Qbl37RiZoabkoqmwbwfKPff+imE/amnrp5yNYXmQhp9jTy26TF0Bg2Lr1D+3rataKBma3tm1yYQCI4I/vjHP/L4449zzTXXMGfOHMrLy7FYLGi1WnJzc5k1axY33HADn3/+Oe+8884RI1aAcFgIBALBUUFnUwMf/PNvAMy78Fusfz9CPCpTPi2XyV8ppvGXvyRcVYWmoICie+5JXa3/rOEz/rrhrwDcMe8OxmUd4oOSYNDR6g3ojCbCAT8+Zyd6k+mw2+8fuinH5X4FBGoLEk0hjZkbCbHpbFi1VjwRDw3eBkY7Rvd632Tgpt5kRqvvfxXml4nH4vg6FSGkL6GbkL5qU1mWCSWuiunHjOl+o8qPMEhudLo44bAKV2uAnBGWAZ03E7TXKbk5uSUjMUyaRKSujuDWbZjnzUu5K44vOB51GitIR4yfSFtNNfU7tzF27sCdGw27nQR9EQxmLSPS2Q5yKBb9HLa+Bs598PEDcOpdABg1Rm6bfRs/Wf4Tntj6BOdUnMPocaOZdnIJmz6sY9kzO/jWnXPQm0TVqUCQTpJ5gr0lk2HVvWH06NGMHj2a7373u0O6jkwgHBYCgUBwhBOLRnjrz78nEgpSMnEKfv80Oht9mGw6Fn97Aq7XX8f10ssgSRTffz+axJXpJl8Tt358KzIyXx/7db465qtD+0IEB9GXHAuTTQsSyHGZgDfSr/NpCguBzGZYSJLU76YQb6dyNTndgZs+V5h4XEalllJOld6SFCzc7QMTLGKdncRdLgB0I0cevEHIC3VfIEngyFNEFVdL3xwqg0VSsMguKcUwSQnETOZYJAWL2YXprWQtHqe4DtKVY7F3nfLvOWpG7uBUiOotcPYDyv1PH4bmrtyPxWWLWVS6iGg8yt2f3U1cjjPvq6Ox5xnxOUOseEm0hggEgqMXIVgIBALBEc4nzz1Nc+VuDGYLo+dcxs7PmpEkOPXqSUi1e2hKVJjm/vCHmOcpadCRWISbP7qZzlAnE7IncNuc24bwFQgORSrHohdNISq1CqM10RTSzxwLbWHCYZHBkRDoGgvpa45FsuI17YGbiXEQS5a+z1kFqZGQtoGNhISrlGwKTXERqu7cNDWfQTwKjjLsxcr3hbPFf/B2Q0w44E+5TXJKyjBM7hIsIvEI65rXARkQLBJNIc2Ve4mE+5/jAoroV7lBeQ0ZaQc5FBPOgfHnKP/Ob/4/iMcBReS7fc7tGDVG1rWs47U9r6HVq1l85USQYMenjVRvTk+1rkAgEAw3hGAhEAgERzA7P1vB2jdfBWDu169h9dvKm9a5F1RQXKii7oYbkUMhzAtPIvf6H6b2e3Dtg2xs3YhVa+XBRQ9i0KTPXi9IH6ZU8GZvm0IGWG06CA4L6H+1qbdDcVikX7Doe6VpEltuejIskoKFvnxU9xtULle+VizCnq+s0zUMBYv2ekWEMjuyMFqsKYdFuLqa7bXr8Ef92HQ2xmcfIli0n9jzCzDZHcRjUZorB+Y4aKx04XeH0Rk1lExIb1ZKj5z9AGjNUPs5rH8m9XCRpYjrZ1wPwB/X/JH2QDvFYxxMP0UJsV3+7A6Cvv45qwQCgWA4IwQLgUAgOEJpr6vh3b/9CYDjzvwa21YaU7kVx51SQv3NPyNSX4+2tJQRDzyApFJ+5L+y+xWe3f4sAPeeeG+qtUEw/DA7HEDvBQuTrSvHoj9oE4JFpKkpo/O4/a02TVaapnskJBm42df8Ctgvw2KAIyGhhGChG3UoweIj5euohTjyFQeGcxiOhLTXKuMgOSVlAGhychQhTJbZsWoJALMKZqGS0vsWVJIkRiRcFgMN3qxcr/xblk/LQa0Z5LfK9hJY/Avl/tI7wdv1fXXZxMuYkD0Bd9jNvavuRZZl5p1fgaPAhM8VZsWLuwd3rQKBQDAICMFCIBAIjkBCfh+v/+FeIqEgpZOn4fXMwNMRxJZn5NSrJtL2yF/wrViBZDBQ8peHUdvtAKxpWsM9n98DwA+m/4CTy04eypch6AGzvY8OC8fAqk01idBNORhM5SlkgqRI1vcMi2SlaZodFh39awgBsCYcFn6Xk2ik/1e4w1XVwCEEC28rNG9W7o9aeEQ4LJKCBZByWbRvXAPAnKI5GTl38Til4nMgORay3DUOUjEjw+0gh2LOtVA4DYJOWHJL6mGNSsPd8+9GI2lYum8p71a/i0an5pQrJyJJsPPzppTYIhAIBEcLQrAQCASCIww5Huedv/4fnY31WHPyyB99MbXbXGi0Ks66dirBD96h/e+PAlB0z90YxivW61pPLf9v+f8jGo9yRvkZXDf9uqF8GYJe0JfQTehqCvE5++ewUOn1qBOhrJnMsdh/JCQux3u9n8+ZdFjkpHU9nn5WmgIYrTY0WkUoSo6s9IdwymFRfvCT1R8rXwumgCUv5bDwucJEQsOr2rS9dh/wJcEikWOh2a08N6tgVkbOXbyfw6K/DqH2ei+e9iBqrYqySen9Pus1ag2c/zBIatj6Cux4K/XUxJyJXDPtGgDuXXUvbYE2CivsHHe68vf94bM7+p1hIxAIBMMRIVgIBALBEcZnLz/HntWfo9ZomLL4e2z9RPkwu/jKiZiad9J4u2Inzv7u1djPOw8Ab9jLDR/cgDPkZHLOZO5ZcE/aLdmC9JMK3XQ6e7e9fWChmwCaosznWBSaC1FLakKxEG2B3mc/ZMxhkRQssvsuWEiShCUnJ3Gc/l3dliMRwrWKM0HfncOi6hPl66iFABjMWvRmpZne1Tq8XBZdDouuUbOkw6KsIYpD72Bs1tiMnDt/1GjUWi0Bj5vOxoZ+HSPpUCiblI1Wn77a1T5TPAMW3Kjcf/OnEHCmnrpm6jWMzxqPM+TkN5//BlmWmXNuBbmlFoK+CMue3jHkFYsCgUCQLsS7VYFAIDiC2PbJh3z20nMAzDznSjYuU66kzzlvFCPzgtRd/yPkSATraaeRf9NNAETiSiPIXtde8o35PLT4IYyavocLCgYfUx9aQoBUJafP1T+HBYC2IJljkTmHhValpdCsnKe3YyGyLOPrSAgW2ekTLOS4PKCREGW/gQVvhuvqIBpFMhhSwacHsO9T5Wv5gtRDqRyL5uGTYxEOBnC3tgBfHgmZDEBJO8zLnpkxsVSj1VI4WhFDGnZu62Hr7qncoPwbDtk4yP4svBVyxoC3Cd77RephrVrLb078DRpJwwc1H7CkaglqrYpTvzMJtUZFzdZ2tnxUP4QLFwgEgvQhBAuBQCA4QqjbvoX3/v5nAKaecgG71uQQj8uMnV3AcQuyqL32OmJOJ4YpUyh+4H4klYq4HOfOlXeysmElRo2RhxY/RL5pEGv6BAMiNRLichKP92z9N9kHlmEBoElWmzY19vsYvSGZY9HbatOQz0c0oggxZkf6BAufK0w8JiOpJCwOfb+OkQrebOufwyKVX1FengrHTeFthbadyv2yE1IPp3IshpHDoqNO+bc02R0YrbbU45r8PHxWLSoZTgyUZHQNybGQ+n4Eb7paA7TXe5FUEuXTctO9tL6jNcL5fwEkWP8s7F2WempC9gS+P/37APz2i9/SFmgjp9jCCV8bDcCnL++hs8k3FKsWCASCtCIEC4FAIDgC6Gys5/U/3EssGmX08SfQXDOZkD9KYYWNRd8cTf2NPyZcXY2mqIiSvz6Cyqh8mHlwzYO8WfkmGknDg4seZHLu5CF+JYK+YLLZQZKQ43GCHk+P2yczLPzuMHK8f5bwpMMimkGHBfS92jSZX2EwW9DodGlbR9JdYXHoUan797aoq9q0v4LFYfIraj5TvuZPAlOXUDMcm0La6pSGkNzSsgMej8Qj7C5QskomtKbv3647RoyfCPTPYZEM2ywe68Bg1qZ1Xf1m5AkwR8ms4I0fQ8ibeup7U7/HxOyJuEIu7v7sbmRZZtrJJZRMyCIaibP0X9uIRXufESMQCATDESFYCAQCwTAn4HHz6v2/Juj1UFAxllB0Me62INYcA2deM4mW227B/8UXqMxmSv/+d7T5ioPiyS1P8tS2pwC4e8HdnDjixKF8GYJ+oFKrU1eqk/kNh8NkUz4MxmMyQV//Giu0yQyL5sxlWEDfq029HZmpNPW0Kx/4+zsOouw7wJGQakWw6Da/IjkOMnL+AQ8Px6aQ9oRgkT3iQMFic9tm9uYrH5ytlS0ZXUPxOEWw6Giow+/uW9NN1VC3gxyKU34F9jJw1cAHd6ce1qq03LPgHjQqDR/WfshbVW8hqSROuXISepOG1hoPq9+qGsKFCwQCwcARgoVAIBAMY8LBAK8+cDedjQ1Yc/MxZl1IW00AvVnDOT+ciuv39+JZuhRJq6XkLw9jGD8OgP/t/R9/XPtHAG46/ibOG33eUL4MwQAw2x0AvfrwpdaoMFiUK8P9zbHQDEKGBfS92tTbqTRwWLLT29zgHkBDSJKBjoSEUg6L7gSLlcrXLwkWw9Fh0X4Ih8UXTV9QWSgBENze/8rR3mC02sguVsSwhl07er2f3x2msVL5P1YxYxiMg+yP3gLn/Um5/8U/oHpF6qnx2eO5bprS+PS7Vb+j1d+KJUvPwkuVdqh17+yjcW/mKooF6UWEpQqOJAbr+1UIFgKBQDBMiUYivP6He2nctQO92UL+6Etpqoyg0as590fTiT79CK5XXgGViuIH/4j5BGW+/d3qd/nlyl8CcMWkK7hqylVD+CoEA8WUFCxczl5tn6o27WeOhTaVYdGU0TcjyZGQ3mZYJB0myVyPdDHQwE1l34Rg0V+HRSrD4kuCRdAFTZuV+yMXHPCUPSFYBNxhwoFov86bbtoTGRY5X3JYrG5aTVVCsAjt3k083P9Q2N4wYkKy3rT3YyFVG1tBhvyRVixZ/f9eyBhjToHjLgdkeOm74OkSFK+eejWTcibhDru567O7kGWZsbMKGDe3AFmG95/YSmiYfI8IukeVyK6Jx8UIj+DIIRZTsrVUX85eSjOavu5QUVGRiXUgSRJ79+7NyLEFAoHgSCMei/HWnx+gZvMGtHoD5cd9h31bVag0EmdfNxXNO/+h9Sll3KPo3nuxnXYaAO/ve59bP76VmBzjgtEXcNOsm4byZQjSQEqwcPauKcRs19Fe3//gTU2BIljIfj9xjwe1zdbDHv0jKVi0B9vxR/yYtKbDbp/MsMhUpaltIIJFIsMi6PMSCQbRGnp/rJjbTaxdcY8clGFR8zkgQ/ZosB7YHqI3ajBatQQ8EVytAfLKrP1efzpQGkKUD9E5+zksQrEQG1s2ErYBdhu43IR27cY4JXN5OsXjJ7F52Xt9Ct5M5ldUHDfMxkH256wHoG4ttG6Hl66GK14HtQatSsu9C+7lkjcv4eO6j3lx14t8Y/w3OOmb42nc7cLdFmTZU9s589opSJI01K9C0A1arRa1Wo3P58NsNg/1cgSCXuH3+1Gr1Wi1mc386bNgUV1djSRJab/qIn6ACgQCgYIcj/Peow+xZ/VnqDUaxsz9DlWbtUgSnH71ZEyfvU7Lnx8CoOD2n+P42lcBWFazjJ999DNicoxzK87l1/N/nbH6QMHgYerDSIiyvZJj0d+REJXRiNpuJ+ZyEWlqyphgYdPZsOlsuMNu6r31jM0ae9jtfakMi/SOhCQFC2t2/wULvcmMzmgkHAjgbm8lZ0Rpr/dNBm5q8vNRWywHPnmIcZAk9jwTAY8LZ4t/yAWLjnpltOfLDSGbWjcRjofJNeVhmlyB/9NPCW7bmlHBIhm82bx3F9FwuMeQ1lAgSt0ORRAcNX0YCxY6M1zyDPxjEexbAcvuhtOUTIsxWWP48cwf8/s1v+cPa/7AnMI5lNvLOeOaKbzyh7VUbmhl4we1zDi17PDnEAwJkiRhtVpxu93k5eWJz0WCYY8sy7jdbqxWa8a/X/ssWJSVlYn/RAKBQJAhZFlm2ZP/YOtHHyCpVFTMvoKqzUq43sJLx2Nf8zotDz4IQO6PfkT2FVcA8FHtR9z00U1E5ShnjTqL3yz4DWqVeshehyB99HUkxJRsCumnYAGgKSoi5nIRbW6GceP6fZyeKLWWsrV9K3Weuh4Fi+RIiCU7fQ4LWZb3GwkxDuhY1pw82utq8LS39UmwCFUeLr8iGbi54ODnAEe+kaZK17AI3kzmV+SUHJxfATC7cDbGyQWKYLG17w0efcFRWIzRZifgdtFcuSc1InIo9m1pIx6TcRSYyC4a5le3c8fCBY/Ai1fCyj9DyWyYqGQUXT7pcj6u+5hVTau4fcXtPH3W0xSMsnHixWP5+L+7+OyVvRSU2yga4xja1yDoFrvdjtPppKGhgeLiYvF5SzBskWWZhoYGIpEIdrs94+frl8NCIBAIBOlHjsf54F9/Y+PSJQCMmvlNanc4AEWsyN/8Oq0PPQxA7g0/Iu/66wH4YN8H/OzjnxGNRzl95On89sTfCrHiKCIZuunrdYaFcjW5vyMhANqCAkI7dhBpynBTiLWEre1be5VjkRIs0jgS4neHiUXiSBJYsvQDOpY1JzchWPQtePOQlaZhHzSsV+4fymExjII3uwSLA8Wa1U2rAUWwMExSHCTBbZkVLCRJYsT4SexZ/Rn1O7f1KFhUrleyR4ZdO8ihmPxVqPsRfPYXePUHkDcRcsegklT85sTfcOEbF7K5bTOPbXqMH8z4AVMWjqBxj5Pda1p49/GtfOP22alGIcHwwWQyUVJSQl1dHYFAAJvNhslkQq1WC/FCMOTIskwsFsPv9+N2u4lEIpSUlGAyHX6cMx30WbAQCAQCQfqJx2O89+jDbF3+PkgS5cddQsNeZWZ94aXjKdjwCm1//SsAeT/5CbnXXQvA63te585P7yQuxzlt5Gncd9J9aFTiR/vRRJ8dFrZk6OYAHBaFiWrTDDeFJKtNexIsZFlOZViYHekTLJLuCrNDj1ozsPGpZI6Fp61vwZtJweKgStO61RCPgq0EHN3b+IdTtWmXYDEy9VgwGmRT6yYA5hTOwWBIBG/u3IkciSBlcO65eNwE9qz+jObKPYfdLhqJUbNVyRA5YgQLgFPvgvq1UPMZvPBt+N77oDNTaC7kjrl3cOsnt/LopkdZMGIB0/KmsejyCbTVeels8rP0X1s578YZqFTiQ/Bww2q1MnLkSFwuF06nk/ZEvo1AMFxQq9VYrVbsdvugiBUgBAuBQCAYcuKxGO/89f/YvmI5kqSi/Lhv0lhVCBIsunQcuZ/9h7Z//QuA/J/dTM53vwvAv7f/m/u+uA+Ar475Kr864VdCrDgK6XtLSMJh4R6AwyLVFNLY72P0hlS1qffw1aZBn5dYJAKAOY0Oi3TkVyTpagrpo8Oi+hAjIalxkPlwiKurw6naNFVput9IyIbWDUTiEfJN+ZRZy8AKKquVuMdDqLISw/jxGVtPfvloAFqqDx/oXre9k0gohtmhJ3/k0OaA9Am1Fi56Ah49CVq2wZv/D772KEgSZ1eczfLa5SypXsLtK27nhXNfwGQwccb3p/DSfWuo29HJF29UMu+ro4f6VQi6wWQyYTKZKCwsJBKJiOYQwbBBpVKh1WoH3fEj3tkKBALBEBKLRnn74T+w6/MVqNRqiidekhIrTv7WWOz/e4iON/4HQP5tt5Jz1VXIsszfN/6dv25UHBeXT7ycn83+mQjYPErpEixcyLLc4xsFk73LYdGb7btDUzBIDotEU0id5/CCha9DucposNrQpPGqvLdTEXUsaREsEg6LPlSbyrEY4X3KB/1DChbl3edXQJfDIuiNEPJH0Jsym9R+KCLBIK4W5Xsle7+RkC8alfyKOYVzUt+HhokT8X/xBcEtWzMqWOQlKmKdTY2EA350xu6vBKbaQabnIh1pjgNbEVz8BDx1Pmx6HkrnwOzvAfCLeb9gbcta9rn38cc1f+SXJ/ySnGILJ397Akv/uY217+wjb6SV0cflD/GLEBwKSZLQ9RAYKxAcC4h3twKBQDBEhAN+Xnvg7oRYoSF/9Ddoqy9EpZY47fIxWJ6+G/cb/wO1mqLf/pacq64iEotw56d3psSKH874IbfMvkWIFUcxJpsSaBWPRQn6vD1un3RYxCJxwoFov86Zclg0Zz7DAqDeW09cPvRVxEzkVwD4koKFY2D5FbCfw6Kt9w6LSEMDcjiMpNOhLS7ueiIaUkZC4JCBmwA6gyaVRTCULouOhq6GkOT3K8Ca5jWAkl+RxDBZaQfJdI6FyWbHkq00yrTsq+p2m3gsTtUmRWAaNZzrTA9H+Ylw6q+U+0tug32fAWDX27n3xHsBeGHXC7y25zUAxs0uZPqpiqj0wZPb6WjwDfqSBQKBoC9kzGHR2NjI559/Tl1dHW63m1gs1uM+d955Z6aWIxAIBMMKn7OTV+67i5aqvWh0euzFF+JsLUJrUHP6pSORH7gJ35YtSEYjJX/6PywLF+IOu/nphz9lVdMqVJKK2+fcziUTLhnqlyLIMBqdDr3JTMjvw+9yYrQc3rau0anRGTWEA1F8rnC/rrprCouAzDssCk2FaCQNkXiEFn8LhebCbrfzOZXKyXQLFl5nIsNigIGbcKDDorfOllTg5sgyJPV+Qbn16yAaBHMe5Iw57DHs+Ub87jCuFj8F5ZmpoO2Jttp9AAe0o/gjfja3bQa+JFhMUgIwg1u3Znxd+eUVeDvaaa2upGTCwTWqLfs8BL0R9CYNxWMdGV9Pxph/o/I9s+01eOEK+P5ysI9gXtE8rpl6DY9tfoxff/ZrRlhGMLtwNvO/Npq2Wi/1Ozt5+++buPjns9EbhelaIBAMT9L+02nDhg3ccsstfPDBB33eVwgWAoHgWKC9vpZXfncX7tZmDBYbxqwL8bmyMVq1nHFBNoFffJ9IbS1qh4PSR/+Ocfp06r31XP/+9ex17cWkMfH7hb/npJKThvqlCAYJk92REix6U5lptusIB6L4XaF+1TRqCxSbeNzrJeb1orZY+nyM3qBWqSm2FFPjqaHWU3tIwcKbGAlJZ+Am7DcSkhbBQrmaHwkFCfl8GHrxd5YSLMq/PA6yUvl6mPyKJPZ8E417XLhah85h0V6vhKbmlHblV2xq20Q0HqXQXJgKVwUwTJoIQHDnTuRY7EChJs3kl1dQuW41LdWV3T7fuMcFQPFYB2r1EexSkyT46l+hfQ80b4HnL4PvLAGtkR8d9yNqPbW8U/0OP/nwJzxz1jNUOCo443uTeeF3q3G1BHj/X1s5+wfTjryRGIFAcEyQ1p/Ob7/9NvPnz+eDDz5AluXD3oCD/iwQCARHO3Xbt/DfX/4Md2sz5qwC1MZvEPBmY8s1cOZJEbw/vpJIbS3akhJG/uc/GKdPZ13zOi576zL2uvaSb8znqbOeEmLFMUafm0ISYyH9bQpRmc2obMrV+mhzZl0WqeDNw+RYpEZCstM8EuJMjoQMPMNCqzdgsCp/Z70N3gxV9RS4eehxkCT2XCXHwj2UgkXKYbFf4GbLBgCOyz/uALeJrrwcyWhEDgQI79uX0XV1BW8eQrDY6wSgcLS92+ePKHRm+Oa/wZit1OH+7ycgy6gkFfcsuIfpedNxh91c9/51tPhbMFp1nH3dNNRaFdWb21n9VvdjMwKBQDDUpE2waG9v59JLLyUYDGI0Grnjjjt45513ACU05je/+Q1vvvkmDz/8MGeffXbq8auuuooPP/yQZcuWpWspAoFAMCzZuHQJL95zB0GfF1v+KKLy14hFbRSPdbB4xHZct/yIuM+HafZsyl98Ad2ocp7b8Rzfffe7tAfbGZ81nn+f828mZE8Y6pciGGRMduUDVV+rTf0DqDbVFiRyLBoHJ8ficNWmqUrTNI6ExGPxlKCTDocF7N8U0rvgzXBVNfAlwSIWhdpVyv2R83s8hj0vUW3aNrwcFhtaNwAwI2/GAdtKanUqbDO4bXtG15VXXqGsr3YfseiBeS6yLNNUqTgsiiqOAsECIKscLn4SJDVs+i98/jcADBoDDy9+mHJbOY2+Rn7w/g/whD3klVlZdJnyb7H6rWqqNvat4UYgEAgGg7QJFn//+99xu91IksTrr7/O3Xffzemnn556fsqUKZx99tlcf/31vPnmm6xYsYLCwkKeeuopVq9ezcKFC9O1FIFAIBhWxKIRlj72F95//BHisSiOoumEwuciSSYmzstnVuPzuP/8B5BlHJdcQtk/HydqNXLHyjv47arfEpWjnFl+Jk+f9fQhLfOCoxuTPQvoe7WpbwDVpprCRFNIpoM3E+MCh6s2zUTopt8dQY7LSCoJoy09Sfy23GSORe8++CVHQvSjyrsebNoEYS8Y7JA/qedzJgWLIXJYREJdDSE5iUrTuBxnU8smAGbkzzhon9RYSIaDN+35BeiMJmLRKB31BwpirtYAAU8ElUYi70iqM+2JioVwhhK2yXt3QOVyALIMWfzt1L+Ra8xlV+cufvzhjwnHwkyYV8TUk5X/g0uf2EZnkwjhFAgEw4u0CRbvvfcekiRx5plncsopp/S4/QknnMCSJUvQaDTcfvvtbNiwIV1LEQgEgmGDz9nJi/f8gk3vvwOShK1wMYHAYlQqLfMWZzHy5Z/jffMNUKsp+OUdFN71K+pDLVyx5Are2PsGKknFzbNu5oGTHsCk7b6WT3D0Y06MhPh6PRKSBodFsimkKbOCRW9GQnwJwSKdGRapwE27DlWaZvf74rCIeX1EW1qALzkskuMgZSeAqud8h6TDwu8KEwn3HHCebjrq60CWMVptqYaQSmclnogHo8bIuKxxB+2TCt7cnlnBQpIk8hMuiy+PhTTtVdwV+WU2NNrM5WgMCXOvg+mXghyDF6+CDkUYK7GW8LdT/4ZZa2Z102puX3E7cTnOgovGUDTGTiQY4+2/bSboiwzt+gUCgWA/0iZY7NixA4BTTz212+ej0YOr1aZNm8Yll1xCNBrlscceS9dSBAKBYFhQt20Lz972Y+p3bEOjN2J0XEg4NAOjRcfJs4OY7/se4d17UOflUvavf5F92WW8W/0uF//vYrZ3bMehd/DoaY9y5eQre9U4IDh66etISNJh4XcNwGFRkHBYZLgpJDkScijBQpbllGCRzgwLXxoDN5Mkm0Lcvag2DVdXA6DOyUFt328koQ/5FQAGsxa9SclQH4oci6RzIemuANjYuhGAKblT0KgOznfXT0w6LLZnPMcsLxFo+mXBojEhWBQdDfkVX0aS4Nz/g+KZEOiE/14KfuX/0ITsCfzp5D+hUWl4t/pdfr/696hUEmd+fyqWbD3OZj/vPraFeOzQNcMCgUAwmKRNsHA6nQCUlJQc8LhWq9Sp+f3+bvdbtGgRgMiwEAgERw3xeIzPXnqOF+6+HW9nBwZrPir9JciMpHCUlUXGFfDATch+P6a5c6l45RWkmVP41ae/4mcf/wxvxMuMvBk8f+7zzCuaN9QvRzAM6HvopvIhvL+hmwDaIkWwiGR6JCQhWHSGOvGGvQc9H/R6UvkDZkdW2s6bbAgxpyFwM0mXw6IXgkUqcLO868F4HGr6JlgA2HKHbiykvV4RmrJHdL3/O1R+RRL92LGg0RB3uYg2NGR0fcngzdZDCBZHReBmd2gNSginpQBatsHT56dEi3lF87h3gTI28uz2Z3ly65OYbDrO+eE0NHo1dTs6WfHinqFcvUAgEKRIm2Ch03U//2m1KnOBDYf4hWQymQ77vEAgEBxJeDvaeek3v+TTF/+NLMcxZ89AVl+CSp3NlONMTPvobsIvPQ2SRO4Pf0DZv/7JHnU733zrm7yy+xUkJL4/7fs8ceYTFFuKh/rlCIYJ/c2wOBIcFmatmWyD4pzoLscimV9htNpQa7RpO6/XmQmHRe9HQrryK/YbB2nfrVwR1xihaFqvz5scC3EPQfBme10NwAF1u8mGkO7yKwBUOp0iWgDB7ZkN3kyNhOyrTLk5gr4InY1KVkPh0RK42R22YrjidTDnQdNmePIc8CgC5NkVZ3PzrJsBeHDtg7yx9w1yS6yc9h1lXGfz8jq2fHToMS2BQCAYLNImWBQVFQHQ0dFxwOMVFcovivXr13e73549ioLb3ciIQCAQHEnsXvUpT99yA7VbN6HW6NFbzyImL8ZgMnLiqHryH76GaOUeNHl5lD72GI4f/YC/b/kH33rzW1S5qsg35vP46Y9zw3E3dGujFhy7JEdC+pphEQ7G+p1rMFgZFrBf8GY3YyE+ZyeQ3oYQAF+nkmGRiZEQb3sbcvzwlvpwdcJhUb6fYJFsBxlxPKh7L84MZfBmciQkOyFYOINOqt3VAEzLPbToYpg4OMGbOSWlqNQaQj4f7lYlMyTZDmLPN2JKU+DqsCV/Ilz1FlgKFafFv86AzmoArpx8JVdMugKAO1feybKaZVTMyGPeV5X37h8/v5vaHR2HOrJAIBAMCmkTLKZMmQJ0ZVkkmTNnDrIs89Zbb9HaeqBFMhQK8fjjjwMwcuTIdC1FIBAIBpWA18NbD/2eNx78LQGPG725ELXpW0iaiRSPNLCg6Wl0T/wWolGsZ5zBqDdep2FyHpe9dRl/3fBXonKUU8tO5aXzX2JO0ZyhfjmCYUgydDMaChEJBnvcXmdQo9Eqv+L767JItoTE3W7ivsw2Bxyu2tSfFCzSOA4CXQ4LsyN9goUlOwckiVg0it/tOuy2ocrkSEg3gkVp334OpBwWgyxYxKJRnM2NQJdgsalNaQcpt5XjMDgOua9hvxyLTKLWaFN1qy3Ve4GuwM2jps60J/LGw9XvKLWnndXwzzOgRfl7v2nWTZw/+nxicoybP7qZVY2rmHnGSMbNLUCOyyz522ZqtwnRQiAQDB1pEyy+8pWvIMsyn3zyyQGPf+tb3wLA5/Nx2mmnsWTJEnbt2sXbb7/NSSedRE1NDZIkce6556ZrKQKBQDBoVK5bzVM3X8+OlR+BJKG3zAPtN9AacjluRAsTnvshrF+JymKh+IH7yfvj/Txe8zyXvHkJ2zu2Y9fbeeCkB3hw0YNkGdL7gUxw9KA1GNHokrkUzh63lyQJU7LatJ85FmqLBZXZDECkuaVfx+gthwveTL7eZI5HuvCmQjfTl2Gh1mhSwsrhxkLkeDwVunlAhkXtF8rXsr5l19iHKMPC2dRIPBZDazCmxmF6GgdJYpicaArJsMMC9hsLSbhakg6Loza/ojuyR8HV7ypVud4meOIsqFuLSlLx6/m/5pSyU4jEI9yw7Aa2tG3h5MsnUDIhi0goxpuPbGTXF5l3WgkEAkF3pE2wSAoOGzZsoLKyK9howYIFnH/++ciyzObNmzn33HOZOHEi5513HmvWrAEgNzeXm266KV1LEQgEgozjd7t456//x6v3/xpfZwdaQy46yzeRtPPJyzcwv/5Jsv79awiHMJ94IhVvvM7O2YVc9L+LeGTDI0TjUU4uPZnXLniNs0adJVpABIdFESAcAPhdnb3ax5yGatOkyyKa4eDNZLVpdw4LXwYcFnJcxpeBDAsAW2Is5HDBm9GmJuRgEDQadMmwcn8HtO1S7pfM7ts5Ew4LT3twUNsdUg0hI0pSP8N6CtxMYhg/HiSJaEsL0fb2TC4zJVi07qskHovTvM8DHOX5Fd1hLVTGQ0bMUrJSnj4fKj9Co9LwwEkPMK9oHoFogB988AOqvJWce/10xszKJx6TWfqvbWx4v2aoX4FAIDgGSZtgMXbsWJ566ikeeeQRQqED7af//ve/Oeuss5Bl+aBbWVkZS5YsoaCgIF1LEQgEgowhx+Ns+uAdnvjJtWz96ANAQmOchcrwLXTGEUy1VTHl5evRbluF2uGg+IH7MT30O3619y98973vUu2uJseQw/1fuZ8/n/xnco25Q/2SBEcIfc+xSDos+h+8qU0IFpFMV5smMyy6Cd1MjYSk0WER8EaIx2SQuv6e0kVvgjdDyYaQ0lKkRJtayl2ROw5MfcvrsDj0qDUq4nE55RwZDNq/lF8RiUfY0rYF6NlhoTKb0SXGgTPtssgfmXBYVFXS0egjGoqhNajJKjJn9LzDElO2EsRZsQjCXvj3RbD9TXRqHX8++c9My5uGK+Ti2qXX0hCs5/SrJzNtsfL/c+VLe1j58h7keGaraAUCgWB/0prq9u1vf7vbx81mM2+99Raffvop7733Hk1NTZjNZmbPns2FF154yIYRgUAgGE60VFfy/j//SuMuJatHoy9ApTsZlaaYouwwo1fcj66lGgDb+eeR87ObeKHlXf7++vl4wh4kJL4x/hvcOPNGbDrbEL4SwZFI0mERcB0+G6Fr+4TDwj0Qh4VyMSHTDovkSEijt5FoPHpA6GxqJCStlaZKDojJpkOtTtu1GwCsuT0LFpEa5Uq1rry868F+5lcASCoJW66BziY/rtZAquY00yQbQpKCxa7OXQSiAaw6K6Psow63KwCGSZMIV1cT3LYdy1e+krF15iWCTT3trdRsU1rpCsptqFTHqLNNb4FLX4CXvwvb/wcvXAHnP4TpuMv56yl/5ap3rmKPcw/XvHcNT575JCdePBazXc9nr+5lw9Ia/O4Qi6+YmPb/OwKBQNAdgxpDP3/+fObPnz+YpxQIBIIB43e7+Oyl/7Bx6RLkeBxJrUOtm49aPwOjSc34pnfIXv4GEqAbM5qCn/+cVaVBHvzkamo8yhv6idkT+eW8XzI1b+rQvhjBEUvSYeDr5UhIsv1gINWm2oKkwyKzgkW+KR+dSkc4HqbJ15QSMGB/h0U6BYvEOEgaAzeTJJtC3G2HHgkJ1yjOBF1ZVxVoymFROrdf57XlGVOCRenEfh2iz3TUK46YZKXpxpaNAEzLm4ZK6vnDrGHSRNxvv53xalO9yYy9oBBXcxM1m3cAVgpGHeOisUYPFz0J/7sRNvwbXr8e3A3YT/oZ/zjtH1z5zpXUemq5/O3L+dPJf2LmGVMw2XUse3oHu1Y1E/REOOP7U9AZRKOVQCDILOKnjEAgEByCaDjMuiVvsOrVFwgH/ACodePQGBei1lipYDfF7/0dTSyIymol74YbaDpjOj/e8Ge++FD58JFjyOHGmTdywegLUKvUQ/lyBEc4XRkWzl5tb7YnBYs0OCwaMytYqCQVI6wjqHJVUeetO0Cw6MqwcKTtfF35FekL3EzSNRJyGMGiVhEytYn2CmIRqF+r3O+nYJEM3hysphA5HqejQREskg6L3uZXJDFMGtzgTVdzUyJ4cxqFo46x/IruUGvggkfAkg8r/g8+vBdcdeSd8yCPn/44171/HVWuKr695NvcPOtmLp17KUaLjnf+sZmabR289uB6zvnhtLQ27QgEAsGXEV4ugUAg+BJyPM6OlR/xxE9/wCf/eZJwwI9Kk4/WchFa87kUGcLM+eIeypb9CU08hOPii9C88Ci/KVvPJe9cxhdNX6BT6bhm6jW8deFbXDj2QiFWCAZMl2DRt5GQ/raEwH4ZFs2ZzbCA7oM3Y9EoAa8SkJjekZBEpWmaAzehy2Fx+JGQLzksmjZDNAAGB+SM7dd5k8GbrrbBESzcba1EwyHUGg2OhBMn6bDoKb8iiT5RbRqpqSHm8WRknUmSORY+pyKyHPMOiySSBKfeBWf/ASQVrHsK/nspxTo7z579LKeWnUo0HuW+L+7jpo9uInucjq/+v5kYrVpaazy8dP8a2uq8Q/0qBALBUYwQLAQCgSCBLMvs/uJTnr71Rt566Pe4W5uR1Ba0pjPRWi4j25zLjO3/YNJ7d2LyNmE5+WRM/3mUv5wR58JPrmLpvqVISJw96mze+Nob3DjzRszaYzDUTZAR+u2wcPd/JEST+CAazfBICOwXvLlftWnA7QJZRlKpMFqsaTuX16lkWGRmJERxWPg6O4jHYwc9L8sy4TrlNWpLE4JFahxkDqj699bMnje41aZJd4WjsBiVWk2rv5UGXwMSElNzezf6psnKQlNUBEBox46MrRUgf9RoAORoK7Y8I0aryE87gDnXwCXPgsYAu9+FJ8/FFg7x4KIHuW3ObWhUGpbuW8olb15Cu62Or98yi6xCE97OEK/8fi37tmS26UUgEBy79Hkk5OqrrwaUirV//vOfBz3eX758PIFAIBgsZFmmct1qPn3h37RU7wVAkvSo9cejNhyPRRujfPuz5NevQkLGOHMm0Wu/yd/Vn/PW5huIycqHksWli/nRcT9ibFb/rpAKBIfDZHMAfWgJsSkfxgOeCLFYvF8BedrESEjM6SQeDKIypH+EIklyDGR/wcK3X0OI1M8P8t3h68xMpSmAyaGsVY7H8Tk7sWYf2AQUa2tD9vtBpUI3YoTy4AACN5MkBQt3awBZljNelexsUsIrs4qKAdjUtgmAMVlj+iTUGiZNwtvYSHDbNkyz+1bn2heSwZtyvIP8ssEJJT3imHAOXPk/+M8l0LAO/nka0uUvc9nEy5iWO42bP7o5lWtx25zb+NrNX+Xdx7ZQv9PJW49s5KRvjmPKwpKezyMQCAR9oM+CxZNPPpn6Jbi/wLD/4/1FCBYCgWAwicdj7F71KavfeJnmyj3Kg5IOtf44NPrjMWpUjNzzGkW1H6OS4ximTCF4xfk8ZF3H+9W/QEapdptfPJ8fzfiRCNQUZJRkhoO/l6GbRosWlUoiHpcJuMP9ymtQ2WxIJhOy30+0uTlVQ5kJuhsJSbpJTGkM3IT9QjczIFioVGosWTl42lvxtrcfJFiEa5XXpy0sREq2pKUEi3n9Pq8txwgSREIxAp5IKnQ1UzgTzTH2AsUhsalVESym5U7r03EMEyfi/eADgtsyG7xpycpBrTERi/ox2cQIwyEpnQPfXQrPXgidVfDoQjjll0yd/T1eOO8F7lh5B8trl3PP5/ewpnwNv7j2Dta8VM+OTxv56LldOFsDzL9wzLHbwCIQCNJOv0I3D6Xcy3L/e5kzfSVAIBAIkkTDYbZ+9AFr3nwFZ1Oj8qCkRa2bjsYwG7NapnTXaxQ2foY6HsUwYwaN3ziRf5rW8kXzA5D4vHhy6cl8f9r3mZI7ZehejOCYITkSEvL5iEUjqDXaw24vqSSMNh0+Zwifq3+ChSRJaAsKCFdVEWnKrGCRGgnxduOwSGPgpizLeBOhm2ZHZhwj1pxcPO2teNpbKRo7/oDnwolKU21ZInDTVQfuepDUMGJmv8+p1qqwOPR4O0O42wKDIFgoPzuzChXBYnPbZkBpCOkLgxm8KanzIVqNSjp0vogAyB0D33sfnv821H4OS26Bjf/Fft6feejkh3h629P8ae2fWFK9hM1tm7nvzPuYm1fBqtcr2fh+Le7WAKddPRmtXmQ3CQSCgdNnwaKqqqpPjwsEAsFwwdvZwab3l7Bx6ZKuHADJgFo/A43+OCyEKdv5IgUtqxVHxQlz2XLmWB7Vfso+z9/BA2pJzenlp/O9qd9jXNa4IX09gmMLg9mCSq0mHovhd7lSWQmHw2xXBIuBVJtqChXBIpoU9zLECKsyHuEJe3CFXNj19pRgkU6HRcgXJRaJA2B2ZOZDvSXVFHLwXH8qcDOVX5FwVxROBd3AMm/seUa8nSFcLX4KKzLbguHaz2ERi8fY0rYFoNf5FUkMk5TgzVBlZUbHjlwtAWRygWr8rvqMnOOowpIP31kCa5+A93+tjIj8YxHSCT/kykU/Z3redG79+FbqvHVc+c6V/HDGDzn16vP48OmdVG1s46X713DWdVNx5JuG+pUIBIIjnD4LFiMPcXXlUI8LBALBUCLLMo27d7D+nTfZ9flK4rGo8oTKikZ/PGr9VLICDZRue4bctk1IWg2cuZD3TzDyn+ineINrIQhWrZWvj/s6l064lCJL0dC+KMExiaRSYbTZ8XV24Hc5eyVYKE0hnoE1hSSCNyNNmW0KMWqM5BnzaA20Uuepw663p4TFdDoskoGbRqsWjTYzV4Ct2TkAeDoOvpKfGgkp+3LgZv/qTPfHlmekfpcz48Gbcjyeclg4CorY49xDIBrApDFRYa/o07E0BQWos7OJdXQQ2rUL47S+OTR6S1OVC5Umn1gIWmvERbZeoVLB7O8q2Rbv3AZbX4VPH4atrzPjnD/y4vkv8pvPfsOS6iU8vP5hPi34lJ9ddydfPN1AR4OPl+5bw6nfmUT51J5/VgkEAsGh6NdIiEAgEAx3gj4vO1Z8xOYP36Olam/qcUldjMYwA7V2NAWtGymt+SM2by2qLAdtFy/k2YkdrIh8Aon3+2XWMi6deClfG/M1TFpxpUgwtJjsjpRg0bvtE00hA3RYAESbB6EpxFpCa6CVWm8tk3Mn7zcSkoFK0ww0hCQ5XLVpJDESoitNjISkIXAziX2Qqk29nR3EIhFUajW23Dze37sCUNwVfa1wliQJw8SJ+FauJLhte8YEi+ZKN5Ja+Xdp3VdFPB5DJeqme4e1EC5+EqZfCm/dBK4a+M/F2CZ9lfvP+B0nlpzIvZ/fy9rmtVzTeTm/+PavCC7JoanSzVt/3cSEeYXMOa8Ca3bmQnsFAsHRS9oEi48//hiAKVOmkJ2d3ev9nE4nmzYpQU0nnXRSupYjEAiOQeR4nNptW9jy4XvsWvUpsUjyqrIatW4Cav0MjLKR4rqPKW58Gn3YRWzKOD49YQ5P5O3AJa+ACGgkDSeXnczF4y5mbtFcVJJogBYMD8x2B630vinEnMgx8LkH4LAoHByHBSjBm+tb1qeaQnyu5EiII23n6ArczNyHJ2uO4rDwdiNYJB0WurJSCPugUXkPlBaHRW5XU0gmSborbHn5qNTqVOBmf4OHDZMmJQSLzOVYNFW5kFRZqDU6oqEQzqZGsotFo0WfGHc6lH8OH/4WPv8bbHsNac/7nL/wVo47+z/c9umdbGrbxG3rbuZr8y5k4YhvsOOTZnZ81sTuNS1MX1zCzDNGojcdPn9HIBAI9idtgsWiRYuQJIlXX32V888/v9f7rVq1irPOOguVSkU0Gk3XcgQCwTFEe10tO1YuZ9uK5bhbuj5USaoc1PqpqLUTyHXuZUTlK2R3bENlMVK3cBTPjTex2lqpbCzDCMsIvj7263xt7NfINQoLq2D4YbIpuQS9d1joE9v3X7DQJASLaNMgOCwsB1ab+p1OIL0OC18icNOSQYeFJdEM8uWRkJjXR6yjA0iEbjasBzkG1mKwD/zDc8phkWnBoqlrHAT2C9zsY0NIkmSORXB7ZppCIuEY7fU+JElFTslIWqp301K1VwgW/UFnhjPuhWnfUNwWdath6S8pXf8MT57xW/5WtJ3HNz/Oq1Wv8IVlFT+9+hf4PjHTsNvJundr2LqigVlnlTN1YQlqrbgYIBAIembYjIQMpGFEIBAce7jbWtj52Qq2f7Kc1n2V+z2jS7gpJmMOQVHDKgqbX8YQcdM+vYz/nlnIW8XNRDQ7ADBrzZw+8nTOH30+MwtmCjeFYFhjSnxw7221qTkNIyEph0Vz5h0WJVblA2Sy2jTlsEjrSIiSYWHOQKVpEmuuIlj4OjsOGD2I1CrjIOqsLNQWC6z7XNmhdA6koS0tKVgEPBHCwSg6Q2be5iUdFvaCIrxhL3udythdvx0WExPBmzt3IkciSNr0XoFv3edBjsuY7ToKx4xWBIvqSiYsWJjW8xxTFE2Hq9+Djc/B0juhbRfaf1/EjRPPZ/6C+/jFhj9T763npu0/ZPbk2Xx95pW4PtbT2ehn5Ut72PRhHfMuqGDsrAIkUYEqEAgOw5ALFkmhQtSaCgSCnuhsrGfXqk/ZvepTmit37/eMCpW2HLVuAjoKKWzdSFHT01g9NXgr8ll+qp5XR0l0WpWrthqVlpOK53PWqLM4pewUjBrj0LwggaCPJEcj/C5XL7dXPpQPJHRTU6BkWMTa24mHw6h0mavLLLUqQZR1njqi4TAhnw8AcxpbQrpGQjInWJgdWUgqldLo4nRiSYRwhmsyF7gJoDdp0Zs1hHxR3G0BckusaTnul3Em8kyyCovY0r4FGZlic3G/nWnasjJUZjNxn49QZRWG8eltYGqqUv6/FFTYKagYA0Bz5Z60nuOYRKWC4y5TQjmX3wdf/AO2v8Gs3Ut5dcGNPFwC/931IqubV7Oa1YybPo6Lpn2P4OdWPO1Blv5rGxver2XeBRWUTsoWnwUEAkG3DLlg4UzYPU0mEWYnEAgOJB6P0bRnN1XrV7Pri8/oqKs54HlJMwK1biJ6aQT57TvIb3mfLOdO3COsLJ8TZ+kYNc3Ziv1aI2k5sXgeZ5SfwcmlJ2PXZ7byTyDIBMmRkF5nWCQcFgF3GDku9+tKptrhQNLrkUMhos3NXXWcGSDpsGjyN+HuVMYp1BoNevPA6j73ZzBGQlQqNeasbLztbXg62lKCRdJhoSstg3gc6hKCRVl6BAsAe56JFp8bV2sGBYumBuVcBUV8mMivmJbX/7BMSaVCP3ECgTVrCW7flnbBornKDUDBKBsFoxSBuqVqL7Isiw/J6cDogLPug+MuhyW3wL6VmD66n1sdI7ly/vU8I3fy0p5X2eXaxW+5hREzS/h64PvIG7JorfHwv4c3UjTGztzzKxgxLn3ipEAgODoYcsHilVdeAaCsrGyIVyIQCIYDQa+X6k3rqFy3msp1awj5PPs9q0KlKUWlG4ueAvI7Kslv/QSHcyetIy0smx7g07ES9bnKVVmjxsQpxfNZWLKQxWWLhUghOOIxpxwWzl5tb7TpQIJ4XCbgjWCy9d0dIUkSmsICIvtqiDY1ZVSwyDHkYNQYCUQD7GtSXFQmR1baPlTKsoxnEEI3Aaw5uXjb2/C2t4NyUT/lsNCVlUL7Hgh0gsYIhelrxrDnGWmpdmcsx0KWZVwJh4WjoJBNu54FlIaQgWCYNEkRLLZtg69+daDLTCHLMk2VisOicJSdnFIzKrWGoM+Lu7UZe35h2s51zFM4Ba56C7a8DO/dAc59FL59Cz8z5fL9qRfyoiObZ2vepT5Yx0PSneQeV8CF3u+j2Z5H4x4Xrz24npIJWcw9v4LCCvH7WiAQKPRLsHj99dd5/fXXu33uoYce4rXXXjvs/rIs4/P52LBhA3v37kWSJNEQIhAco0TDYRp2bWff5g1UrV9Pa81e2D/TRtKj0oxEra3AHDGT37GTvLb3MIbq2DFaw/MnhFg3WsJtVkSKInMx3yxZyMLShcwunI1enbmrqALBYNOVYeHs1fZqtQqjRUvAE8HvDvVLsADQFhQS2VeT8aYQSZIYYRnBHuce6pqqgC6RJh2EgzGioZhy3Aw6LACs2bk0Ap721q7zJxwW2tKyrjrTETNBnb7MhmSORaaaQoJeDyG/8vPWll/Apk8H7rAAMEycBEBoW3qDN72dIfyuMJJKIm+kFY1WTW7ZSFqq9tJcuUcIFulGkmDqRTD+LFj1qHLzNmFf9Q++B3x7xPH8r/w0nvLsoNpTyz8s92Cbkc35rquxVpZSt6OTuh1rGTk1h7nnVZBXlhmXkEAgOHLol2CxYcMGnnzyyYOueMiyzIcfftinY8myjNls5qc//Wl/liIQCI4wIuEQTXt2Ubd9K9UbN9K0ZwfxWOSAbSRVDirtKLSqEeR4PeS07CS78wWCRierR0Z5YZbE1pESEU0EjaRjWt40FoxYwMKShYzLGicsvoKjlmSGRcDtPiDM8bD72PQEPBF8rjC5/SxF0BYlmkKaB6EpxFrCHuceWloVN0ImAjf1Jg1afc9/dwMhWW3q6WhPPRbZ32FR96TyYMnstJ43WW2aKYdFsiHEkp1Da6SdjmAHGpWGiTkTB3RcwyRFsAhu344cjyOp0hOAnBwHyS2xoNUp/+YFFWNSgsW4eSem5TyCL6Ezw1d+CvNvhD3vw/pnYNc76OvXclH9Wr6mNbF87Ik8oQ2z0V3Js7l/wGrJ5rT2b5FfO5Z9m9vZt7mdiuPymHV2OXmlQrgQCI5VBjQS0l2zR1/aPux2O6eccgq/+tWvGDNmzECWIhAIhil+t4umPbuo3b6FfRs301a7FzkeO3AjyYxKOxK1phRrUEV+ZzXZnWtQRV9mc1mMz6ZLbC6XaHVIgJpxWeP4ZtFc5hXNY1bBLExakYEjODYwWm0AyHKcoMeTEjAOh9muo71+YE0hmoJEU0iGHRbQFbzZ2dGMRJorTQchcDNJqtq0XcnikMNhIo3Kh31taSmsWqtsWDIrredNOSzaMiRYNHdVmm5K5FeMzxo/YDebvmIUkk5H3OcjUluLbuTIAa8V9gvcLLelHisYNYbNvEtz1d60nENwGNQaGH+mcvO2KK0i655B3b6bU7a9xynAlrxRPFtQxrtSLa+MeAR7dh4Lmr5KWdNkKte3Urm+lbLJOUw4oZCyyTnojUM+0S4QCAaRfv2P/8lPfsJVV12V+rMsy1RUVCBJEo8++iinnXbaYfdXqVRYLBayskSwjkBwNBEJBWmpqqRxz05qt22nac8u/K62gzeUzKg0I1CrC7EF1eS4mshy7UWKvM/uoiCfjJbYMlKiJh+QNIzJGsPi/JnMzJ/JnKI5/U6iFwiOdNQaDQarjaDHjc/l7JVgYUoEbw6oKaRQaQoZFIeFRbGBeJ2dWEnvSIg3EbhpdmQ2vwLAmpMHdAkWkYYGiMeRjEY0NiO0JkYfRmRGsPB0hIjF4qjV6a1qTgkWhUVsSEPgZhJJq0U/bhzBLVsIbt+eNsGiuTIRuFmxv2AxWnlOBG8OLpZ8WPBjxXVR+wWsfxq2vMqU1irua63iJrWKF0on8YLFx9ujHiOroJBZDWdS0TaDmq3t1GxtR6WSKB7noHxqLuXTclPf7wKB4OilX4KF3W7Hbj84DEeWZfLz8xmZpl8yAoFg+BLwemitrqKlupKGXXtoqarE1VoHcvygbSVVFipNMWpVPo5AjJzOerJcu/BolrJ7RIy1kyR2lEg0ZYFBY2Zq3lROz5vBzIKZTMubhk1n62YFAsGxidnuIOhx9zrHIllt6nf3X7DQFiYcFo2ZFyySDouwWwncTe9IyOA5LJIjId4ORbAI1ybGQUpKkBo3KD8rbSPAVpTW85rsOjRaFdFIHE97EEd+eh1oyZEQR0ERm9veAAYeuJnEMGmSIlhs3YbtzDMHfLxYNE5rrfJ9VDiq631rblk5KrWaoMeNp60VW17+gM8l6AOSpDTjlM2FM++Hba/Bxv+SV72C66u3cA2wxGbn37lGlo55EltJDpOaFzDaOR2rPzeRc9HJihd3k1VkZtS0HMqn5VEwyoaqH01IAoFgeJM2T1VVlRKOlZ8vfugLBEcT8XiMzoYGWmuqaNy9l8bde+hoqCHk6+x+B8mMSlOISp2PKawly+fF4aknKq+jwd7IrkKZvZOgslAibNYxPmsKk3MnszhnMpNyJlHhqECrSl8AnUBwtGGy2Wmn98GbyWrTgY2EKA6LyCBlWADEfSFAm1aHhS+RYTGYIyHejnbkeJxwTSJws6wM6tcoG404Pu3nlSQJW56RjgYf7tZA+gWLxPeAJS+P7VWKS2R63vS0HNswScnBCG5PT/Bme72XWCSO3qTBnt91JV6j05FTOpLW6kqaq/YIwWIo0VuUOtTjLgdXHWx+Ed3G57mgdTvnu12s1+v5b1aE5SPf5PORb2AP5DGyczIjO6dQ5BlNZ6OPzkYf696twWDRUj4lh7IpOZROzMZgFu8lBIKjgbQJFseKq+KNN97gmWeeYfXq1TQ1NWGz2RgzZgxf+9rXuPbaa7HZ0n8leCjOKTj2iASDdDTW015XQ9PefbTuq8HZ3ICvswk5Hu12H0llR1LnopKyMUVV2P0h7N5WpOguGm3LqSyK8tFYqCySCJi1jM2axOTcyVyYECfGOsaiTWM6vkBwLGDqY7WpyZZwWAxgJCTpsIi1tSOHw0i6/rWN9IYRlhFISOgVbSG9DovUSMggCBZZ2UiSingshs/l7ArcLC2FuoRgkeb8iiS2XEWwyETwpisxEuI0hQjHwzj0jpQrZqCkgje3bUvLqEZTchxklP2gYxWMGqMIFpV7GTtn/oDOI0gT9hI48f/Bgp9A8xakjf9l5uaXmNnUSFCS2KDXscro4ou8Ft4qXo4maqTMOZGRHVMoc04Er4kdnzex4/MmJAnyy22UTcqmbHIO+eXCfSEQHKmI1Jpe4vV6ueyyy3jjjTcOeLy1tZXW1lY+++wzHn74YV544QXmzZt3xJ5TcPQiyzJBrwdXcxOdzU20VtfRXt+Iq7kRT3sT4YDzMHtrFWFCnYsubsQSiuHwujGEmnHpN9DkaGNXHtTkQX2+mqyCkYxxLGa0YzQnZI1hjH0MI20jhTghEKQBk8MB9N1h4RuAw0KdlYWk1SJHIkRbW9GOGNHvY/WETq2jwFyAMaQ0OqQzdHMwR0JUajXmrCy8He1429uIJEZCtGWlUP+EslGa8yuSJOf6XWkO3gwHA/iciruuRlLqWifnTE5bBoR+3DhQq4l1dBBtaUGbcPb0l+Zk4Oaogy/sFIwazZYPoblqz4DOIcgAkgSFU5XbaXdD1UcY9nzAvJrPmNe4ETpdeCSJtQYDq4zNrCpfxYcaPYWeCso6J1PmnEh2oIjmKjfNVW5Wv1WNzqSmdEIOZZOzKZuUMyg/AwQCQXrImGDR2NjIli1b6OzsJBgM9mqfK664IlPLGRCxWIyLL76Yd955B4CCggKuueYaJk2aREdHB8899xwrV66ktraWs88+m5UrVzJx4sDqvYbinIIjn5Dfj7ejjc6mJlr3KYKEs6kRb1szAW878VgPV1glI5I6G5VkRx/TYArHsAUCqGIdePX7aLWspjo7QlMWNBfoMZWUMdJ+HBX2ChY5RjPGMYZye/mA0+IFAsGhMdkcAPh6nWGRHAkJ9/uqtaRSoSksJFJbS6S5OaOCBUCpfgTamJL9kNaRkITDwjIIoZsA1uxcvB3teDraUNXsA0CXY4JdjSCpoXhGRs6bagpJs8PClRgHMVis7AgoH/Qn5UxK2/FVBgP6igpCu3cT3LptwIJFyz4lv2L/hpAkBRVKO11z5R4RvDmcUalh9GLlBhD2QcMGrHWrWZS40dFIu0rFamMLq7LX89kIAx3xXEqdEyl1TaDEOR78Jvaua2HvuhYArAU6Rk3KJ7fUSs4IM44CEzqDgAMDKAAA/NpJREFUuI4rEAxH0v4/87///S/33Xcfmzdv7tN+kiQNW8Hi8ccfTwkHkyZNYtmyZRTs90v0+uuv5+abb+aPf/wjnZ2dXHvttXz88cdH3DkFw5d4LIbf7cLvcuJqaaWtrglnUwvulha87a0EPJ2EQx7keC8s35IZSWVHpbKijWsxRMAcjqKLeAip2+gwbaXJ4aQxW6Y1V4uqdAQjckZRZptGua2cebYyRlpHUmAuQCWlN31eIBD0TJ9HQhKhm9FInHAw1u9KQG1BAZHaWqJNgxC8qS4A2kCrRmtITwtAOBgl5FfG2wbr6qo1J5fGPTvxtLVhqq0DQKdpV57MnwQ6c0bOa0s6LNIsWOzfELK8fRuQXsEClByL0O7dBLdvw7r45H4fJxyI4mz2A5BXZj3o+dyR5UgqFQG3C29HO9Yc0T51RKAzQ/kC5QYgy+CqI6duNWfWr+XMutXQsIFmWlhn2MvawqWsHGnEHRpNiWsSpc4J5HvL8DSH2dRcd8ChNRaw5uspKHaQW2TDnm8kq9CENccoxkkEgiEkrYLFjTfeyCOPPAIo9vOjgVgsxq9//evUn5955pkDhIMk999/Px988AEbNmzgk08+4b333uP0008/Ys4pGHyikQh+lxNvZweu5nZcLe2429rxtrbh6+wg6HERCnqJRHzEY71zKQEg6ZFUViTJhlbWo49JGEMxtNEAcZUbr76TDv0+WmxePLlGpOJ8jCVl5GWVUWyZx2hzESdaiig2F5NjzBGihEAwzDD3cSREq1OjM6gJB2P4XaF+CxaaQWwKKSQLPxAzqtN25TvprtAa1Oj6+XfQVyyJD8GuuhqMoRCo1WjDlcqTJekP3Exiz004LNoCaXUPJBtCbPkF7On8EMiEYDEJ1+tvDDh4M9kOYsnWY7IdnLmi1enJLSmjtaaa5so9QrA4UpEkcJQqtykXKo9FwxQ0b+asujWclRAwXJ0r2aBfzdpSA2s02XgCU8jzVpDlLyI7UIQpYiXqhU5viM7KZqC56xyqONossOUbKCjOoqA4i6wCE45CE0ZL5vJ8BAKBQtp+Y7/xxhv85S9/Sf157ty5nHbaaZSUlKDXH7n28I8//pjGRuUX9MKFC5k5c2a326nVam688UauvvpqAJ577rl+iwdDcU5B/4mGwwS9HvweD542J95ON94OJ772DgKdnQTcboJ+H5Ggj3A4QDQSJBYLIst9DcCTlJENlRkVJjSyFm1MQheTUcXDxFVBQhoPXr2LDks9wWwJ8rLQ5OdjKCwmxzaSXGMuYy3FFJmLKLYUY9UdfNVJIBAMb7ocFq4+7KMnHPTjc4XJKuzfVX1t4eA1hWRFzfiBoP7gmuT+4k2NgwzeexJrtlJt6q6voxDQFhUhNa1XnsxQfgWANceAJEE0HMfvDmO2p+c1Jx0WMZuWqBzFoXdQZE5vLas+Md4a3LZtQMdJjoPklx06mDx/1BhFsKjaw5jZIgvsqEGjUxp4RhwPc68FwB7ysLBpCwsbN0DjRoKNG9gafY99FjW1Wg3Vko2O2AiCkWIMoQLsgTwcwQLsgVw0cR2RdmhvD9O+vZlt+4kZsi6K2h7HnKMlK99CUVEO+QVZ2PNMWLP1qNTioo9AMFDSJlg8+uijgPIh+sknn+Syyy5L16GHlCVLlqTun3322Yfd9qyzzup2vyPhnMcasiwTDYUIBfwEvD78Ti9+t4+A00XA5SbodBH0eAn5fYT8fsLBAOFwkGgkRCwaJhaLEI+HiMfDQGwAK1ElRAgTKvRoZC2auIQ6Dio5DkSIq0OE1H4COj8Rq5uIzUk816gIEUXF2HOKyTPlk2PMIc+YR64xlyxDFhqVmMUUCI5GkhkWfldnr6+em+06nM3+AVabKg6LaFNzD1sOHFvUQD3g0fZ/vV/GN4iBm0mSDgtPmxJQqSstgQZl3DNTDSEAao0KS7YBT3sQV2sgjYKFIlZ1GkMQUtwV6c5+MCQEi2hDI9HOTjRZ/Qtdbd2nNITkjTy0MF9QMZqtH71PS9Xefp1DcASht8LIE5QbYACOD/s5vrMKnLXgqgVXHbKzBpd7DbW+BmrDTmrUGhrlfDpixQQjxWhChQkhIx9rOAsprCHeCp5W8OzwUYMPUCqMZSlO3ORHY4ujs+owWHSYLDosVhM2mwmH3YrDZsVg0WEwa9EbNUhi9EQgOIi0faJZs2YNkiRx+eWXHzViBXBAFsfs2bMPu21hYSGlpaXU1tbS3NxMa2sreXl5R8Q5hzPO5jY66hoJujyE3B5CPj8hr4+Q30fQ7ycUCBAJh4iEQ8QiEeUWixKLRYnHosjxGHE5hizHkOUoshwFokA6x5YkZRRDMiChQ4UWtaxCJatQAZIsgxRHJkZUHSGuiRLXRYhaYshZIOXEUOca0OTkYcotxG5VRAe73o5D78Chd2DVWcV4hkAgSLWExKJRQn4fBrOl530SH1h9A6g21Qyiw0IfVN60OzV+QrFQWoJ8kw0h5qzBCdwEsOYov4+9HsUNo821QMQPOivkjsvoue15RjztQdytAYrHONJyzORISJ1aCUSdmJ3+sG+11Yq2rIxITQ3BbduwLFjQr+O01CQcFocVLLqCNwXHIDoTFExWbgkkwJG4TY1FwN0ArrqEoFFLwLmPOudq6nxN1Ae8NEez6YwXEogWEIvkowvlYQvlYA3moJG1qH0WZB+EGiEEuIgC7sTtwJ+lMnFi2iBxbQiVPorKEEdrlNCbNBitBsx2C1a7FbvdisNqxWaxYDTr0RnVaLTqQfpLEwgGn7QJFq6ENfWUU05J1yGHBTt37kzdHzVqVI/bjxo1itpEddnOnTv7JR4MxTmHMy/84m48nsoMnkEHkg5J0iKhQSWrkVChQoUkS0gAkgzIyJIMKhk0MmjjxPUykkWFZNOgztKjdZjQZ2ehd2RjtOdgsWRj0Vqw6qxYdBYsWuWmVolfLAKBoH9odXp0RiPhQAC/y9VLwSLZFNJ/x4K2ULH+D4bDIuZVwiID+hj1nnoqHBUDPuaQjITkKCMhgVAQGdCZI8oTI45T2g8yiC3PCDs60xa8GYtGUk6RHXHlCnK68yuSGKdMVgSLLVv7JViE/BFcLcrrPtxISN7IUUiSCp+zE29HO5bECI9AAIBaC1kjlVsCIzA2cUOWIeQGTxN4GsHTRNBVS6NrJQ2eeurcIVq8OlxBK+GYmWjcSjxmgZgZdcyCLmpGHzVhiJrRxvVIqNBETBAxgZIXSwzlrh9oJw64ErcDiUtRopogcU0INGHQRlBpY2h0cbR6GZ1Bjc6gQavXodNp0ep16A06DAYDOoMRo8mMwWjGaDRhNOgxGQzo9FrUGpVo0BEMOWkTLAoKCqirq0Or1abrkMMCp9OZup+b23MgU05O1y+7/fcd7ucczkhqtdJsgQYJRUzoukmApHyVSHyVkSRABahBUkuglpC0EpJOhVqvQjKqUVt1aOwmdDYjeocZnc2OweLAYLVjNFgxaU0YNUZMGuWrQWMQDgeBQDAsMNkcCcGik+zinitGzbaBOyySGRbR1lbkaBRJk7mxs2Q+R0Afo85blxbBwtephBcP5kiI2ZENkkRclglr1Gi17RAho/kVSZLBm+kSLNytLchyHI1ez7ZQ+itN98cweQrut5cQ3LKlX/u3JtwV1hwDBsuh35dq9QayR5TQXldDc9UeIVgI+oYkgcGu3PLGA8qoyajELYUsQ9CliBtBd+prKNCB21eHO9iB0+ek0xfE5YviCYIvJBEMawlFDESiBuIxE8QsSDEzmqgZbcyILmZEF1McYypZgy5igcjBAnYMCCRuBxMHfInbwcjEiamixFWR1E1WRUEVRVZFkdQxJFUUSR1HlbipNTIqjYxWI6FWq1BpJFRqFSqVGkmSUSMjxeMQj6OOyxCPo4rHkeJx5Z29EEjSwqnfuRaz9ejIqkvbu425c+dSV1fH9gGmOg83vF5v6r7B0LON1Gjsql/zeDzD6pyhUIhQqOvqmtvt7tf6BpvJP7mKbfX70Bot6I1mDFoTRq0eo0aPQWPAqNGj1ajQqFRo1RJqlYRWrVK+qlRo9ntMJSF+EAoEgiMek92Bs7mxD9WmCYeFu/8OC3VODmg0EI0SbW1FW5TesMX98Ts7AUWwqPXUpuWYSYeFeRAdFmqNBosjC29nBwGtBl2kWnkig/kVSex5XU0h6SA5DmLMySIqR7HpbIyw9CyW9QfD1CkABPopWKTGQbqpM/0yBRVjFMGici+jj5/br/MJBIdFksDoUG77oQfyErceicch4oOgGznowuNtxeVuxuWpptPjxe314Q2ECQQjBEIy4TBEIiqiMQ2x6P9n7zzD4yjPtn3O9qIt6t2SbLl3Gwym994JCYQ3hBo6XwIvISRASELCm54QSoCEToAECMSEjjGYaoN771bv2tVqe5nvx+ysZFy02ibZPOdxzLEr7czcj2RZ2rnmvq9LTyxqQI7pIaZDiunRRHRooho0MS2aqIQmJiHFJDSyhCYGEAU5omxE0MgRNMTHqtXRajmCHH9EDiMTISYrG0QJEAU5Gj9XTHkkc0bKgn0z66RTsE6aNtLLyAgZEyyuvfZaXnzxRZ555hl+8pOfHHCdFgcC99577y5xqfsLvmXvcNDGfxBET0jWEUJPCB296AnKynPlc3qC6AgN+txXjwmhJ6rRE5UMRDXKFtaYiGqN8UczklaPTqvBoJUw6DTKpo0/6rSJ58bdXtv1uXEfr5n0WszqZtBiFC13AoFgGKhJId4kBQtrYiQk9Q4LSaNBX1JCuKWFcFtbVgULr1sRLAKGKE2epoycsz9hupk7DwsAa1ywCOi16MNbQE9OOizsxZntsFATQiLxn6VsGG6qmKZMBUki0tpKpKsLXRLdpoPpjCeE7MtwU6V0bD3rPlxI+7bNKa1VINgTkWiM/mAETyBCXyCMJxChPxDBG4oQCEfxh6L4wzEC4ajyceIxhj8U3eXz/nCUYDhGMBhC2+/B4u3BEfKQF/aSF/FiiQSwRP0YYyEMsRB6OYROjmAiiiTFkCSZmCQjSxIxDcQkDbE9mHvKKJJCOlbyw0dtidYgoVXEHUFG0B5ACTUZEyyOPfZYbrjhBu6//34uvfRSnnjiiQNCtMjLy6O3N/7GKRAgL2/fs8J+/8AbA1uKbTjZqnn77bdz8803Jz7u6+ujuro6pTXmknK6mKrJkoP3Hn47h2UtAQwEMOCXDfgx4sdAEAN+WXnux0hA1hOIv+aXjfRioh8zXtmEFzP96iOmxOdC7Pn/hCSREDBMcRHDYtDuJmyYDbt+bNIr+6nH2Uw68ow6rEZd4rnFoBViiEBwgGGNG28mG22aCdNNAF1ZGeGWFiLt2fOxkGUZX3y80W/MjGARCUcJ9Cv+EbkcCQGwGhXhIOTIQ6uPgaMabKVZr6t2WAT6w4T8EQzm9N7yqQkhbovyMzS5MPOGmyraPCuGsWMJbd2Kf80abMccM6zjO+IJISU1e/evUCkbNx6Atq2bk07dEXx9kGWZ/mAEly9MjzdEjy+Eyxeixxum1xui16dsPd4QLl+YXl+IPn8Ef3jvl/36aJi8sB9H0EN+0I0z7MEe7sca8VIaDWCKBeKiQxgNUUVw0EBEKxHWavZ8Ua+NbyhvbcOJF4a+aJVkGY0so5XZZehao9GgkZRRDo1Wh1arRaPTo9Xp0er1aPVGtAYDOqMRndGEzmxGbzajN5nRW60YLGb0RhN6kxmjxYTebMZktaA3m9GZTWhNJrR6wzD/RQRfRzImWDQ0NHDLLbfQ09PDP/7xD5YtW8Z1113H/PnzKSoqQqMZ+j/MmDFjMrWcjOF0OhPiQVdX15DiQXd39y7HjqaaRqMRozG3b9QywdSTr4S5R0E0CJFQ/DG+7fK5Qa9FQ8iR4C4b4SDyoNel+DFSNIAm4keSlTY1vRRFjx8bfkX4zSAhdPgw48WER46LGrIJD2b6Yhb6gnn0BSy4seKWrbix4pIt7Ix/3IeVKMMzapMkyDPoyDMpQkbe4C0uathMOhxm/a6bRY/TbMBh1mPSiw4QgWA0YR4UbZoMaodFyB8hEoqiM6Rm+KgvK8UPhNuylxQS8vuIhJWLYr8xlpGREG98HESn12C05Dby2RL3Pgrlxd+YV87NSV2DSYfZpsfvCePu9FOcxHjEvnC1tQDQolN+5rLlX6FinjaV0NatBNasHZZgEfCG6etS/EqS+ZpLaseh0erwuV30dXbgKMm+mCQYWWIxma7+IE0uP029fjo9wT2KDz3xz4WjyaXKSXKM/ICHcd5Oqn2tFAe6yI/2YYn50coRkGLEJJmwViKs1RL96h3wQaKDmmfHXt7zaWQZPRIGSYNeq8Og12M0GDEYTRgtFowWK0abDZPNjsnhxOR0YrDb0Vvy0OVZMeTZ0Nts6E0mNMIIXjDKydhf7dra2sQFjSRJbNq0ie9///tJHy9JEpFIJFPLyRgTJ05k+/btAGzfvp3a2tp97q/uqx67v9Qc1RTVK9swkRiG3iDLEA0pcXNh/1e2+OciX/l4l80LwX4I9ccfPbt+HFG6YAxEMODBiWeYCxwgqLEQ0NrwafPol/Lok+y4JDs9so3OmI32qI2WcB7NYQudURu9sg1PEDzB1P9/GbQa7GY9TosiZjjNevKtBgqtBgriW2GegQKrMfE50dkhEGQPa3wkJFkPC4NZh1avIRqO4XWHEnffh4uutAzIblKIN+5foTebiGplmvqb0r7zPRBpasz57yVjWPndG1Qb7HLgX6FiLzJnTrCId1hsRREuphZM3dfuaWOaNh33q/8hMCjqPRk6G5VxEHuRCZN16E5fncFAcU0d7ds207ploxAsDhDc/jA7u71s7/LS0O2jOS5ONLv8NPf6CUWH56Vg1GkotBoo1suMC7uo6m+nyNWI2dOJ5HMRDnnxxyL4DDqC+vjllR5ielCc6QapEYOQZBmDpMGg0WLU6zEZTZjMVkzWPMwOB2anE0tBIZaiEiylZVjLyjDZ7OgMojNB8PUho7cZZDk5BXJ/Yvr06bz55psALF26lGOPPXav+7a3tyfiRUtKSlKOFx2Jml97JAl0RmUz52f+/NGIIl4kBI1+CHoGPg56IOACv0txkk48j3/sdykiCGCM+TDGfDjCQ1ww6OMbEDU6iBgLCBrzCejz8RoKceuK6NUW0i0V0C7n0xxx0hIy0xuI0ucP445v0ZhMKBqjqz9IV3/yhn3qH/eCPAPFeUZKbCZK7UaK7SZKbUZK7CZKbEaKbUb0B9CcnUCQCyzDHAmRJAmrw0BfVwCfO5iyYKEvVwSLcHv2OizUcRCrswCtpCUYDdLp76TEUpLyOQf8K3LfZWjsV9z3A1K8RTwH/hUqjmIz7dv70jbelGMx3B3Kv3mvOYDNYKPKVpWJJe4V0zRFEPGvXTsswaqrQbk8LK5OXqApq59A+7bNtG3ZxKTDjhr+YgUjgtsfZkeXlx3dXnZ0+RSBotvLzm4fPd59j79pJCizm6jKt1BiN1JgNZBvUW645Otlivq6sHW1om3ehq9pB+7GVlx9LjzRCP0mPUG9jk71ZFrArGPwZZUBCZvRjMPhxFZUgqWwEEtBEZbiIiwlZVhLSjDbHRjNFqQkutAFgq8zGRMsvvvd72bqVKOKU045hd/+9rcAvPHGG/zwhz/c676vv/564vlpp522X9UUZBmtbo8O0cMiGhkQMwYLGr4e8HaBr0t5HPzc3wNyDG3QjTboxsh29jnRq9GDrQycZVBdjmwrI2QpxWsoxm0sp1tfRpdUQK8/psxyxrdub4geb5CefuV5MBIjGInR4g7Q4g7s88uSJCiwGCixK4JGhdNMpdNMhdNEhcNMhdNMmcMkRA2BYBAWuwNIvsNCOcZIX1cgLR+LRIdFa/YEC9Vw0+rIp8xaRnN/M02eprQEC3UkJM+ZW8NNAEO38vX4JA1IWiifmbPamTLe7O/tIRoOg0bCa4owryB7hpsqpsmTQasl2tVFZBgmr2qHRVH1vsdpB1NeP4GVb/+X1i2bUlqrILu09wVYtrOXTe39ijjR7WVHl5deX3ifxxXbjNQWWqgptFKVb6Yq30Kl00xVvplSuxGps4Pg1m0Etqyie80Gepoa6e3uoi8UYJ1Jj9doIDL4vYdl0J0gwKDRYrfm4SgoIr+iioKx9RRNnER+ZTWmIca5BQJB8mRMsHj88cczdapRxdFHH01ZWRltbW0sWrSIZcuWMWfOnN32i0aj3HfffYmPL7zwwv2qpmA/QKsDa6GyJUssqggbvq8IGf3t4GkFT9vAo7cTYmFwNyobysSKMb4VEM8V1+jBUQXOMcpWVjPw3DkWOa8UX4RdhIxOT5D2viAdnkD8MUhnX4AOT5BITKY7vu/61j1/GRoJSu0mKpzm+GaipsCqvBEpslJuN6HZg+O1QHCgYnEonWDJpoTAoKSQNKJN9WVKu3w4i6ab6kiI1ZlPla1KESz6m5hTuvvfwWQZPBKSa3St7VBkxisbkEumIhksOavtyJBgofpXxOxGZE32/SsANCYTxvHjCW7YgH/NmqQFi66EYJF8h0X5eGWctmPbFqKRCFpdbn1OBAOEIjHWtrhZ1uBiWUMvy3f27vPGhypK1BZaqS2yxh8VkSLPuOu/Y7itDe+ni+lY/AGL1q2mKxbGYzbiNeiR1fcQebuKEhJgM1lwFhZTWD2GoomTKaqfQEFFlRAlBIIcIX4jD4FWq+Wuu+7iuuuuA+CSSy5h4cKFlJTseqfnRz/6EStWrADg8MMP5+STT97j+Z544gkuu+wyQBEmFi1alPWagq8xGu2AyFE8hL9JJATeDuhr3V3MUEUMd5MiavRuV7Y9IGn0WJ1jsBaNp7qwHorGQ/F4mDwerPW7uFvHYjK9vtAgMSNAiytAs8tPS2ILEIrGaHUHaHUH+HLn7iaDBp2GMQWWxJ2UmvhjXfyuihAzBAcaakpIOOAnHAygNw7dOZCJpBBdWbzDoqMDORpF0mberE3tGrE686m2VfN56+dpG2/29yoXPHnO3AoWsVAIXWsrFNYRkzT4i2aRO7kCHEWKYNGXrmARHwHyWJQ72tlMCBmMefo0ghs2EFi9BvuJJw65fzgUxdXuA4Y3EpJfVoHRaiXo9dLVsIPSscP3zRKkRn8wwpc7e/l8WzdLtvewqtlNKLKrv4RGgolldqZW2KkbQpQYTNTlwrtkCZ5PPqZp6RJafH102K30mwzgMAEDvze1Gg1ORz4F5ZUUja2ncPwEiqrG4CwrR6vb/1MPBYL9GSFYJMFVV13Fv//9b9555x3Wrl3LzJkzueqqq5gyZQo9PT0899xzfPTRR4CS0vHwww/vlzUFX3N0BqVzwrGPueRYVBExXA3Qu1N5dDWAK/5cFTR6tirbVzE6FAPVwvFQVI+mcDyFxZMoLK1nSsWeh1ViMZkub5AWVyAhYjT1+tkZn1Nt6PERisTY0tHPlo7+3Y436TXUl+QxocRGfanyOKHUJoQMwX6NwWxBq9MRjUTwud04SpIRLOIdFu7UOyx0RUWg1UI0SqSrG31p6mMae0PtsLA4nFTlKW9T0hUsEiMhOe6wCDc1oYnJGCNRgnodnrwJORUs1JGQ/t4A0UgMrS610TpXu9L+1q5X4kJz0WEBYJo6Df71IoE1a5Lav7u5H1kGs02f+HlPBkmjoWzcBHauWk7rlk1CsMgibn+YL3b08Pn2Hj7f1s2alj6isV098PIteuaMyWf2GCdzxuQzo9q5T2FCRQ6F8C1bjvfjj+j+5BOaWhvpsFnospmJ5GkhT+lMk5Aoq6ii9pDDKJ80hcKqamwFRcJLQiAYpQjBIgl0Oh0vvfQS3/72t3nttddoa2vjF7/4xW77VVVV8cILLzB1avrO2SNRUyAYEo12QNSoOWz316MR8LRAzzbo2gzdW+KPm8HVCEE3NH+pbIPRGqFkEpROU7ay+KOlAI1GosRmosRmYla1c7eSkXj3hTLX6mNnV/wxLmgEwjHWNPexprlvl+MGCxkTy2xMq3QwtcKO0yKctwWjH0mSsDjy8XR34nO7kko2GBgJSb3DQtJq0RUXE2lrI9LellXBwurMZ4y9AEhfsBgw3cyth0WooQEASyxMEB0eQwW5zKCw2A3ojFoiwSie7gDO0tTkElebIli4LEHy9HlU26ozucy9Ypo+DUjeeLOrccBwc7geG+XjJ7Jz1XLatmyEk4QnWKbo8YZYsr2Hz7d38/m2Hta39fFVj/6qfDOH1BVyyNgCDq4toLbQkvS/X6ipGe9Hi/F8uJj2ZV/QatDSYbfgthiheuD3k8lkpm7WXMbOm0/tzLlinEMg2I/IimDhcrl49NFHeeutt1i3bh09PT1EIpHdYksXLlxIW1sbRUVFnHTSSdlYSsaw2WwsWLCAV199laeeeoqlS5fS0dGBzWZj3LhxnHfeeVx99dU4HI79uqZAkBZa3YCfxdhjdn0t7B8kZGyGri3QtQk6NyqxsK0rlW0wtgoonQoVs6FyDlTMAduub/d1Wg3VBRaqCywcOX7XwyPRGA09Pja197Olw8Om9n42d/SztbN/r0JGVb6ZaRUOplXamVrpYFqFg2Jb7ufeBYKhsDiceLo7k/axyMRICIC+rIxIWxvhtjbMM2akda49MXgkZIxN6bxq6GtI+XzRaAyfJxQ/Z447LBoUocVCiF7MeMK5FUQlScJRZKK72Yu705+6YBHvsPBYIkwunIZGys2daNP48Uh6PTG3m3BjI4YxY/a5f2cK/hUqZeMmAAjjzQzg9od5Y3UrLy9rZsmOnt1eryuyckhdAYeMLWBeXSGVzuRTi2LBIL6lX+Bd/CGexR/R3t5Cu91Ku8OKr2bXpLziqjGMmzefutkHU1Y/Ho0m8yNsAoEg+2RcsHjhhRe4+uqr8XiUPxpq1OmelNKVK1dyyy23YDabaW1txW7fZ37BqODss8/m7LPPTvn4Sy+9lEsvvTSnNQWCUYHerIgPpV/pBorFFD+M9rXxbY2y9e5QujU8LbDlnYH97ZUD4kXlHCiftdf0FZ1Ww9jiPMYW5wFlic9HojEae/1sbvewqd3D+lYPa1rc7Oz20dSrjJy8uXYgBaHUbmRmlZODavOZW5PPtEoHRp144yMYWayJaFNXcvtnYCQEBvlYtGXHeHPwSIjdVgmAK+jCHXTjMA5foPe5QyCDRidhzsvtLHooHjuep1UEk/6e7pzWB7AXmeOChQ8YhmlzHFmWccc9LPosEY4ryM04CIBkMGCcPJnAqlX4V68eUrBQOyyGkxCiohpv9rQ0EfR5MVqsw1/w15hwNMaHmzp5eXkz76xr38WHYnxJHoeMLVC6KOoKKLEPr9Mp2u+l77//xbPwPTxLltCl09DusNJutxCqr0zsp9XpqJ05h3EHHUrdrLnkFQz/510gEIw+MipYPPXUU1x22WUJkaK8vBybzcamTXtWqy+99FJuu+02AoEACxYs4OKLL87kcgQCwf6ARgOF45RtylkDnw96oH0dtK2CluXQvAw6N0Bfs7KtXxDfUVJEkJrDlG3MYbt1YXwVnVZDXZGVuiIrJ00dEDLc/jDrWvpY0+xmTYubNc1utnV5ae8L8va6dt5ep1ygGXQaZlQ6mFuTn9gK80QXhiC3mIcZbWqxKz+j/v4wsWgMTYpRwfrSeFJIW+ajTeVYDJ/bDSgdFha9hSJzEV3+Lpo8TSkJFolxEKcRKce+NeH4SIjdEIQYeLq7clofwFmidFW4O1Iz3vR7+gj6vAD0WyI5M9xUMU+bSmDVKgKr1+A4/fS97heLxuhuHhgJGS4WuwNHSSnujnbatmymZsasVJf8tWJNs5sXv2xiwcoWur0D3VvjS/I4b04V58yuoNyRfAfFYEKNjfQ8/ji9r7xKq16izWGlc1z5LlGjRouFsXMPof7gQ6mbORe9KffRxQKBILtkTLBoaWnhmmuuQZZlKioqeOKJJzjhhBN49dVXOffcc/d4TH5+PkcddRTvv/8+CxcuFIKFQCAYwGiDMYcom0rQo4yNNC+DlmXKo2vnQFfGkkeU/Qrr4wLG4cqjc9935VQcZj3zxxUyf9zAXRlvMMK61j6W7ezli529LNvZS7c3xBfxj1XqiqwcOraAI+qLOWxcIflW4YUhyC5WhxNIXrAw5+nRaCRiMRlfXzhlA8qBDovMCxYBbz+xqDI+aomPO46xjaHL30WDp4GpRcP3a1ITQnI9DgIDHRZ2cwC84OnJvWDhKFEuFl0pChZqd4XPFCWqlXNmuKlimj4DeA7/mtX73K+33Uc0HENv1CbiXIdLWf1E3B3ttG7ZKASLfeAJhHl1RQvPL23YZayyKM/AWTMrOW9OJVMr7MP2EVEJbtlC1yOP4Hr9dZrsVrbUFBEwDHRHWfMLqD/oUOrnzad6ynQRQysQHOBk7H/4/fffTyAQwGw289577zFx4hARinHmzZvHwoULWbly5dA7CwSCrzdGG9QeoWwq/Z3Q8Ans/AR2fgxtaxSzz+4tsOwpZR9nDYw7TtnqjtrrCMmesBp1HFyrGIFdjdIevaPbxxc7evhyZy9f7uxlc0c/27u8bO/y8tySRiQJplc6OLy+iCPri5hbmy9GSAQZx+JQHO+T9bCQNBJmuwGvK4ivL5iyYKEvi3dYtGd+JEQdBzHl2RJRgtW2apZ1LEvZx2IgISS3d17lWIxwUxMADqsfvNDfnfuREIfaYdHpS+l41b+izxLGqrdSY6/J2NqSwTxjOgCBteuQIxGkvVycJsZBqvJS7qQpr5/Ixk8+pHXLxtQWewAjyzLLG108v6SBBStb8YejAOi1EidNKeMbc6s4YnwR+hQ7twD8a9bS/fDD9L3zDq3OPDbVV+IzKr8HrM58phx9PPUHHUp5/QSR6CEQfI3ImGDx9ttvI0kS3/72t5MWKwDq65XoqB07dmRqKQKB4OtEXjFMOVvZAPwuaPxcES92fqKMk7h2wpePK5ukgcqDFPGi/nionKuknySJJEmJcZILDlKc8l2+EF/u7OWjLV18vKWLTe39rGpys6rJzUOLtmLSa5hXV8jRE4o5YXIJNYViNlqQPmoHgj9JwQKU1AivK5iW8aauNHsdFoMNN1XUC+QGT2qCxeCRkFwSaW9HDoVAkskvsUKH0mGRTNpFJnHGOyw8XYGURoHUhJA+S4RJBZNyZripYqirQ2O1EvN6CW7dimkv7zHTMdxUKatXjDfbtmzK+b/TaMXlC/Hv5c08v6SRje2exOfHFVu5aN4YzptTRUGaHYW+L76g668P4/3oI7ryzGwYX0mfRREYLQ4nh5z7TaYffzJ6gxi9FAi+jmRMsNi+fTsARxxxxBB77oqacKGadAoEAkFamJ0w4WRlAwj2K8LF1oXK1rURmpYo2wf/B5YimHAKTDwVxh0LhuGLCU6LgeMnl3L8ZOXOc3tfgI82K+LF4i1ddHqCfLipkw83dfKL19ZRX5LH8ZNLOGFyKXPG5KPN8Vy94MDAEh8JSbbDAhTjzU7SM97UlyuCRbijAzkWy+idzsGGmyrVdkUYTDXaVBUsrCl2lKRKKJ4QordGsdXNhDVeouEwfk8fFnvu0r2sDiNavYZoOIanJ4CjeHhJIQMJIWFm5XgcBEDSaDBNn47vs8/wr1q1V8EiHcNNlZK6sWi0WnxuF56uTuzFmY/t3V9o7PHxp3c3s2BVS8JA06jTcPqMci6aN4aDavLTEnRkWcb36ad0Pvgg/i++pM9kYOPYcjptys+n3mTm4LPOY+7p52AwpTbiIxAIDgwyJlh4vYohU94wc439fmWm0iRMcgQCQTYw5sGEk5QNwNUI296HLe8pj74uWPGMsmmNShzrlLNh0mlgzt/nqfdGqd3E+XOrOH9uFbIss6m9n8WbO3lvfQdLdvSwpaOfLR39PPzBNgqsBk6dVsaZMys4uLZAiBeCpBmuhwVkJtpUV1SkmOWGw0R7epSPM4QqWAzusBhjUzxoUh8JUTwsUh2BSZVwo7JeQ14EbdUcLI7VyoVwd1dOBQtJI+EoNtPT4sXV4U9BsFA6aTzWCJMLcmu4qWKOCxaBVavhggt2e12WZbriHRapGG6q6A1GimvqaN+2hdYtG7+WgkVfIMwD72/h8Y93JISKyeV2LppXzdmzKnGY00/a8S5ZQtd9f8H3xRf49To21ZTS7FSuHzRaLTNOOJX551+4i3ApEAi+vmRMsCgsLKStrY32Yc60bt68GYDi4uIh9hQIBIIM4KyGOZcoWzQMDZ/Cxjdgw3+V0ZHNbynbAr0yNjL1XEW8MKV2gSFJEhPLbEwss3HlkWNx+8N8sKmT99a3s2hjJz3eEM9+3sCznzdQajdy+vQKzpxZzqxqp2hHFuwT9c18oN9DNBJJynjOkoFoU0mvR1dURKSjg3BrW0YFi4GREGfic9U2pcOiO9CNN+zFqh9eF9TASEhub4yoHRaGvChUzsFW2IrP7aK/p4vSunE5XYsqWLg7fDB1eFGPrrYWADyWCFMLh296mglMcR8L/+o9G296egIEfRE0GomC8vRG7srqJyqCxeaNTJx/ZFrn2p8IR2M8t6SBP727mZ542sf8sYXcespEZmfo75Fv2XI677sP32efEdFIbK0sZnuxg1g8XXDCoUdwxEWXkF9WkXYtgUBw4JAxwWLKlCm0tbXx4Ycfct111yV93IIFC5Akiblz52ZqKQKBQJAcWr1iwll3FJz8KyU2dd1/YN0r0LFuQLzQGmD8STDrYhh/onJcijjMes6aWcFZMyuIRGN8uq2bBStbeHNNG+19QR77eDuPfbydqnwzZ8xQ9ptSYc/c1yw4YDDZbEiSBlmO4e9zk1cw9IWoNQMdFqAkhUQ6Ooi0t8H0aWmdazADIyEDHRY2g40CUwE9gR4aPY1MKpiU9PliMTnxtea6wyK0YysA+rwIVMzGVvg57du20NfVmdN1QOrRpqGAPyEihe26nBtuqphnzAAguHkzMZ8PjWXXLhF1HCS/wopWn96IUnn9BFa+/V9at2xK6zz7C7Is8976Dn71xnq2dSrd0mOLrfz41MkcP7kkI0KFf9UqOu/7C96PPkIGmoucbKopIxAJgyxTNWUaR118GeX1yXvgCQSCrw8ZEyxOPfVU3nvvPV599VU2b97M+PHjhzzm+eefZ8WKFUiSxGmnnZappQgEAsHwkSQomaxsx9wGHRsU4WLNy4rvxYbXlM1aDDO+BbP/R9k3DXRaDUeOL+bI8cXcc850Fm/uZMHKFt5e105Tr5+/frCVv36wlSnldr55UBXnzK7EaRFxqQIFjUaL2W7H53bhdbuSEiws9vQ7LAD0paUEgHBbZpNC9jQSAkqXRU+gh4a+hmEJFv6+EHJMTiSk5JLwNqWD1FCaD9YibIVKJ6mne/+JNlUjTQP6KPWlk9AOw6A4k+hLS9GVlBDp6CCwfj2Wr9zk6kyMg6TuX6FSPl65aO7YtiXpzqX9lS0d/fxswVoWb1Z+JgusBr5/wngumjcmrbQPleDWrXT89nf0L1oEQI/NyqbJY+kJ+iASxllWztHfuZJxc+eJjkKBQLBXMvZb+Morr+RXv/oVvb29nHXWWbz++uvU1dXtdf8XXniBq666CkmSqKio4Nvf/namliIQCATpUzIJSn4Ex/wI2tfCin/AqhfA2wmf3q9sFXNg9sUw7fyU/S5UDDpNwrjTH4ry/sYO/rOihYUbOljX2sfdC9bxqzc2cPLUMi48uJrDxhWKN3gCrA4nPrcr6aQQtcPC15d+hwWgdFhkkMRIyFdm18fYxrCyc+Wwk0IShpsOA5oc+8OEWpTvjb5eETZtRXHBYgQ6LBLRph3DizZVE0I8lghTRsBwczCmGdPpf/c9/KtW7yZYDBhupu5foZJfVoHRYiXo89LVsIPSsfVpn3O04QmE+cvCLTz20XYiMRmDVsNlR9Ry/bH12E3pe1TIskzvc8/R8evfIAeD+E0Gts2dzs5+FwR9GMxmDj3vQmafehY6ffr1BALBgU3GBAu73c5DDz3EhRdeyKZNm5g2bRrnnnsuRuNAC+YDDzxAY2Mjb775JqtXr0aWZbRaLY899hh68QtLIBCMVkqnwsm/hBPuhs3vwIpnYdOb0LJM2d66A2ZcAPO+B2XT0y5nNmg5bXo5p00vx+UL8cryZl74oon1rX0sWNnCgpUtjC/J45LDajlvdiVW44F7B1Cwb8zDTAoZ8LAY6DxIBX2ZkoiTrQ4Ly1c7LFJMCukfIcPNqMtFzKeIQoYphwBgK1S8PjzdIzESEo827Q4QjcbQJnn3fCAhJMLhIyxYmGfMpP/d9wisXrXba5kw3FSRNBrK6iewc9VyWrdsOqAEC1mWeWVFM796fQOdHkXMO25SCXedMYXaoszEbcd8PlrvuIO+198gKkk0HjyTTXKQSL8LJInpx57I4d/6zm5dVAKBQLA3Mvou94ILLsDlcnHjjTfi9/t57rnnABJ3AW+66abEvrIsYzAYePjhhznxxBMzuQyBQCDIDlq9YsA56TTo74TV/4Tlzyh+F8ueUrYx82HeVTD5rLS8LlScFgOXHl7HpYfXsabZzfNLG/j3smY2d/Rz5ytr+M2bG7hgbjWXzK/J2BtOwf6D2omgXugPhToSEovJBLxhzLbUxiQSHRZtmeuwiMWi+Pv6gN1HQlJNCkl0WOTacLNREVZ0piiaunkA2ItGbiTE6jCi02uIhGN4ugMJT4uh6I0bbvZZwyOWEKJiVo03V+1qvBnoDyf+nYuq0h8JAcXHYueq5bRt2QQnHRgjy2ua3dz9n7V8sVP5XVFbaOGuM6dw3KTSjNUINTTQdMONBDdtwm8ysvLgafT0uQConDSVYy/9Xs4NZwUCwf5Pxm/LXXXVVRx66KH89Kc/5T//+Q+xWGy3fVTPil/+8pfMnDkz00sQCASC7JNXDPOvh0Ovg4bPYMkjsP4/SupIw6dgK4dDr4W5l6acMPJVplU6uKdyOredMokXv2ziqU93sr3Ly2Mfb+fxT7Zz0pRSrjumnpnVzozUE4x+1E6EZKNNtToNpjw9gf4wXncoZcFCHxcswhkULPx9fchyDEnSYLbvajSbECyGORLiVRNCcm24uXktoBpuzgLYxcMiFouiyaEfhKSRsKtJIZ3+pAWLtubtAATzNNQ59j7mmwtMU6eCJBFuaiLS04OuoAAY8K+wF5sxmDPztrYsbv7YumVjRs43kvQFwvzmzQ384/MGYjKY9VpuOK6eK4+sw6jL3M9g/+LFNN/yv8T6+ugrL+XL2lL8fS7MdgfHX34tEw49XIwxCgSClMhKH/H06dN5+eWXcbvdfPzxx+zYsQOXy0VeXh5VVVUceeSRIsZUIBAcGEgS1MxXtr5W+PIJ+PJx8LTCO3fBh7+Dgy6DQ64Fe3lGStpMei47vI7vzq9l8ZYunvxkBws3dPDW2nbeWtvO4fWFXHdMvfC5+BqgdlgkK1goxxgI9IcV480U70jrSgc6LGRZzsjPmdolYrbbd7uYH2NXBIsOXwf+iB+zzpzUOftdIyNYhNd9AYChyJoQLK35+UgaDXIshtfVi60gc3GwyeAssQw72rQ3PhJSUFY5YoabKlqbDcPYsYS2bsW/ahW2Y44BMmu4qaIab/a0NBH0eTFa9s/utfWtfVzzzJfs7Fa8S86YUc6PT5tMhTO5/z/JIMsy3Q8/Quef/wyyTNfMKXypixL1eSkeU8s5P7wLe3FJxuoJBIKvH1kdfHY4HCL9QyAQfH2wl8Oxt8ORtyjjIh/fpySMfPxn+OwhmP0dOPJmcFRlpJxGI3H0hGKOnlDMlg4PDy3axqsrmvl4Szcfb+lmZpWDa48Zx0lTynJuOCjIDZZhelgoxxjpbvamFW2qL1FuOsjhMNHe3sTd7nTwqQkhXzHcBHAYHdgNdvpCfTR5mhifP3QSGUB/r+JhYXXmuMNim3JnXl9ZkficRqMlr6AQT1cnnq6unAsWw00KiUbChF0eJKCmJvlklmxinj6d0NatBFatTggWmTTcVLHYHThKSnF3tNO2ZTM1M2Zl7Ny54t/Lm7j95dUEwjEqnWZ+d8FM5o9LTqhKlmi/l9bbf4TnnXcBaDvxaJZ1NEEExh10KKfdeAsGU+bEEYFA8PUk/cyiOA0NDTQ0NBAIBIZ1XDAYTBwrEAgEBwQ6gxJ7et1ncNHzUH0oREPwxd/hz7PgtZvB3ZTRkvUlNn7/zZksuvUYLj2sFpNew8omN9c8s4wz/vIR761vR5bljNYUjDyq14MvSQ8LAKsabdqXerSpZDCgLVIuuDPlY6GKLl813FRJZSzEm+iwyK2HRbhJ6Uww1O/q+zAwFjICSSHFyoWjO0nBwt3RgSRDWBtjcvXoGN81qT4Wqwd8LDJpuDmYsnETgP1vLCQUiXHXq2v4wQsrCYRjHDWhmNduPCLjYkVw+3Z2fOtbilih19N4wVmKWAHMPuVMzr7lx0KsEAgEGSFjgkVtbS1jx47l7bffHtZxixYtShwrEAgEBxQaDUw8Fa54C777GtQeCbHwgHDx+q2KeWcGqcq3cPdZU/notuO44dh68ow61rX2ccWTX3D+Q5/wyZbcG/4JskeqHRbKMelFm+pLM5sU4t1HhwUMSgrpSy4pRI7JIzMSIsuEupS7/oYp83Z5yT6C0abOYUabqoabHkuEKUUjmxCiYp4+A4DAqlXIskw4FMXVrnw9RRkcCQEoH690lbRu3pDR82aTVrefbz3yKU99uhOAm46r5/FLDybfmppXzd7wfvopO751IaGtW9GUlrLlm2exepPi23LERd/l2Eu/h6TJ2CWGQCD4mpPR3ybp3L0Td/4EAsEBTd2RcOlruwoXSx6B+2bBB7+BYH9GyxXlGfnfkyey+IfHcvXRYzHpNSxrcPHtv33OJY8tYWObJ6P1BCOD2mHh9/QRi0aTOmYg2jT1DgsAXXncx6I9Mx0WPveeI01V1A6LnZ6dSZ3P3x8mFpFBGviac0GsYzsRnzKCpZ919C6vqdGmfSPRYREXLPri0aZDsX2ncgHqtcYY6xgdN5VMEycg6fVE3W7CjY10N/Ujy2C2G7A6MitKVUxQBYuN+8V71CXbezjzLx+xvMGF3aTj7989iJtPmog2w+OAvc+/QMOVVxHr60M/cwarjz2UTWtWIGk0nHzt9znknAuEd5JAIMgoQv4UCASCXKIKF995BcpnQqgf3v8l3DdbMeyMJXfRmSz5VgO3nzqZD289lu/Or0GvlfhwUyen/vlDbn95NZ2e9C5aBSOL2W5HkjQgy/j63Ekdo17Y+dLusFCTQjLVYeEC9t5hoRpvJtthoY6DWOwGtNrcvd0Jr3wfAI1BQltSsctrqmDh6RqJaFMDOr0GOSbj6R56fLehQRmFMBTa0WmyanmWNJLBgHGKMmbjX7V60DhIZrsrAErqxqLV6/F7+nDFu01GK88taeDbj35GV3+IyeV2Ftx4BMdPzlxcKYAcidD2y1/RdvfdEI1iOO1UPhtbzs71a9AZjZzzwzuZdswJGa0pEAgEMAoEC49H+WNjsSQXsSUQCAQHBOOOhasWwfl/h/xa8HbAgv8Hjx6rxKRmmBK7iZ+dPY13bz6aU6eVEZOVN7nH/PZ9Hv1wG+Ek7rgKRh8ajTYRAZpsUojabeDtS0+w0JUpF0SRtta0zqOidlhYM+RhoRpu5uXacHPdEgD0RXm73Wm2FSlpCSPhYSFppITxZjI+Fj1tzQAUlFZmdV3DJTEWsnoVnU2ZN9xU0er0lI5VzF1bNo3OsZBINMZPX13D7S+vJhKTOX1GOS9fexg1hZlNNYl6PDReex29Tz8NgPnqq1gU7ad92xZMNjvfvPNXjJ19cEZrCgQCgcqICxbvvqs4C5eXZybuTyAQCPYbNBqY/g24fimcfC8YHdC6Eh47GV7+nhKTmmFqCq089D9z+efV85lR5cAbivLL19dz+n2L+Wxbd8brCbJPIto0SeNN66CRkHRa3fVl2emw2OtISLzDos3bRjA6dGdQf+8IGW5uWQ+AoXL39zWJDovukfGScRTHfSw6h/axCPYoHTvVYyZmdU3Dxawab65aTVdDdgw3VdSxkJaN67Ny/nRw+UJ89/ElPBn3q7jlxAncf9FszIbMxs+GGhvZceFFeBcvRjKZsP7sp7y1aSWuthbsxSVc9PPfJGJgBQKBIBuk1OP3wQcf8MEHH+zxteeff54VK1bs83hZlvF6vSxbtoz3338fSZI47LDDUlmKQCAQ7P/oDDD/Oph+ASz8OSx7Gla9ABtehxN+CgddoYgbGWReXQGvXHc4L37ZxP+9uYFN7f1c+MhnnDu7kh+fNpliW27vSgtSx+LMh4YdSRtvqqabkVCMcCCKwZxau7+uVO2wyGxKyN5GQvKN+eTp8+gP99PsaWasc9++CqrhpjXXhptNLYAew7jdL+JU002f20UkFEJnyJ23BiQfbRqNRtD3RQCJKePm5GBlyWOeoXRY+NZtoLvIC2TecFMlIViMMuPNLR0ernzyC3Z0+7AYtPzhm7M4ZVpZxuv4li2n6brriLpc6EpLMd31ExY8/wT+PjcFldV8445f5DyeVyAQfP1I6V3KokWL+PnPf77b52VZ5oUXXhjWuWRZRq/Xc9NNN6WyFIFAIDhwyCuGs/4Ccy9TEkSav4DX/xdW/RPO/DOUZtapX6OR+ObB1Zw0tZTfvLWR55Y08O/lzby/sYO7zpjCubMrhXnafkAiKSTJDgu9QYvBpCUUiOJ1B1MWLBIdFu1KZG46PyvRSJiApw/Ye4eFJElU26pZ37OeBk/DkIKFV+2wyOVISO92Qu4ooEc/afZuL5vybOgMRiKhIJ6eLvLLKnY/RxZJNilkU+MatDGJmCQzpW50CRb6mho0djt9USvRcAy9SYujKDvxmRUTFL+MrsadBH1ejJbMjlqkwvsbOrjpueV4ghEqnWb+9t2DmFxuz3gd/+o1NF51FTGvF9O0aWj/9we8+vCfCfq8lNSN4/wf/xyL3ZHxugKBQPBVUr5lJ8vyLtvePj/UNmfOHBYsWMCcOaPrD6JAIBCMGJVz4Ip34LTfgcEGTUvg4aNg4T0QybxJptNi4FfnTueV6w5nSrkdly/Mzf9cyeVPLKXFNfSsu2BkUT0fkvWwgIEui3SMN9UOCzkQIOZOzvBzb/jix2u0Wsx5e2/vV8dCGvqG9rHod8U9LHLZYdG8jHC/IgAZaut2e1mSJGyJaNPcj4U4S+MdFu37FizWbvkCgFCeFqM+tyM1QyFJEubp0/HkKTG3xdU2pAwnYahYnfk4SkpBlmndsikrNYbD05/t5PInl+IJRphXW8B/bjg8K2JFcOvWhFhhOeQQpNtv5ZUH/0DQ56Vy0hS+edevhFghEAhyRkq3VS699FKOOeaYxMeyLHPcccchSRK/+MUvOPzww/d5vEajIS8vj7q6OpxOZypLEAgEggMbjQbmXQUTT1O6LTb+Fz78LWx8A857BEqnZrzkzGonr95wOI98uI0/v7uZ9zd2ctIfP+SuM6dwwdwq0W0xShluhwUoPhaudh/evtQFMI3RiLaggGhPD+H2drRp/D1XxRaL3YG0j/Gn4RhvDnhY5E6wkJuWEfIqHgKG6uo97mMrLKK3pWlEjDedpUqHQF93gEg4ik6/Z7+DnQ2KZ4O+MDveEOlimjEdT7si+GTLv0KlfPwk3B3ttGxcT+2M3btmcsXTn+7gzleVqNkLD67m52dPw6DLvBVdpLOThquuIupyYZo+neBVl/H6H35FNBKhZsZszr7lJ+hNo0vEEggEBzYpCRY1NTXU1NTs8bVp06Zx9NFH7/E1gUAgEAwTRyVc+CysexX+ezO0r4FHjoFjfwKH3QiazBqs6bUarj+2npOnlvLDF1exrMHFD19cxcL1HfzqvOkUWHM7cy8YmoTpZo47LEBJCon29BBubcU0MXXjPVVs2ds4iEq1TREBGj37jjaVZTkxEmJ15u7iKrJxKcQk0GrQle3ZU2Ag2jT3goXZpsdo0RH0RXC1+ymq2rP3Q1drE0WAszS3IyvJYpk1C8+nSuxqcU12BYuKiZPZ8PEHtI6gj8XTn+1MiBVXHzWWH506KSsCciwQoPGGG4i0tGKoqcF31aW89cDvkWMx6g+ez+n/74fo9PqM1xUIBIJ9kTFp9v3332fhwoVDdlcIBAKBYJhIEkw9B677DCacCtEQvPtTeOJ06N2ZlZL1JTb+dc1h3HbKJPRaiTfXtnHynz7kg025v8gS7BtLSiMh8WjTNAULfalyUR5JMynEO0SkqUqyIyFBX4RIOBY/Z45EtliU0BblotZQUYak3bOYqBpv9o1EtKkkkV+m+Fj0tnn3uI8sywS6egCoqh6fs7UNB+PsOfTHxat8cyCrtSrGx403N21AjuU+/vnZz3dy5ytrAPheFsUKORaj5fbbCaxchdbhIPqDG3nrsb8ix2JMOfJYzvzBj4RYIRAIRoSMCRZHH300Rx99NIWFhZk6pUAgEAgGk1cCFz0HZ90Phjxo+BQePhLWv5aVclqNxLXHjOPf1x1OfUkenZ4g331sCfe+vp5wNPdv3AV7xprCSIjFPhBtmg66MsXHItyeXlKIT4003UtCiIo6EtLibSEcDe91P3UcxGzT73XsIeN0bSLkjgCgrx23191shXEPixGKNs0vU8ZC9uZj0eRpwtSvPB9XMy1XyxoW/T4NUa0RTTSIftvKrNYqrqlDZzQS8vvobhp6FCmT/HNpIz/5tyJWXHlEHbdnSawA6Lr/fjxvvAl6PZa77+Kt559ElmNMPfoETrnuB2j2IsAJBAJBtsn88NtXaG9vZ8WKFSxevJgVK1bQ0dGR7ZICgUBw4CJJMOc7cO3HUHkQBNzwwsXwxm1ZMeQEmFbp4LUbj+C785VRwIc/3MaFj3wmDDlHCepFvr/fQywaTeoYa3wkZNR0WLiS67AoMhdh1pmJyTFavC173a+/NxA/Xw4NN1uWE+6P+1eMGbPX3QZMN0emW8mpdli07rnDYk33Guw+5U56UUVVztY1HDobPADY+pvwL1mS1VoarZbyemXcKZfxpq+tauFHL68C4PLD6/jJ6ZOzJla4//Mfuh58CICCH9/O22+9Ssjvo3LSFE783vX79JURCASCbJOV30ANDQ3ccsst1NXVUVFRwdy5cznmmGOYO3cu5eXl1NXVceutt9LYuO8ZVIFAIBDshfxauOwNmH+D8vHnf4XHTgZXdu4AmvRafnb2NB66eA42o44vd/Zy+n2LeX+jEKFHGrPdjiRpQJbx9SWX1qGOhGSqwyKSZoeFNz7OMpRgoUabwr7HQrwu1XAzh+aAzcsIqQkhY/ZsuAmDPCxGYCQEBjosevfSYbGuaSWGiPL20F5SmrN1DYcOVbDwNOLLsmABA/GmDWtWZb0WKNGl339+BTEZLpo3hjvPyJ5Y4Vu2jNaf3AFA/pWX89H29fS2NmMrKuasm3+MVifGQAQCwciSccHi8ccfZ+rUqfzpT3+ioaFhj1GmDQ0N/OEPf2DKlCk88cQTmV6CQCAQfD3QGeDkX8JFz4M5H1qWK4ac2xdnreSp08t57aYjmFZpp9cX5vInlvLA+1t2ibcW5BaNRovZrkQbJjsWYrXHTTf70uywKCsHIJxmh4VPNd0cYiQEkksKSSSE5LTDYhmheIeFvnrvHRb2+EhIyO8n6Ntzl0M2yS9VOixcbT7k2O7/b7fvXAeA1m5Bb8jh928YdKmChbeJcFMT4ebmrNYbO+dgALYtW0o4lJ1ONpXPtnVzzTNfEonJnDWzgnvOmZY1sSLU2EjT9Tcgh8PYTjyB9cVOdqxchs5o5Jxb70zq/6NAIBBkm4wKFo8//jhXXHEFPp8v8eZ18uTJnH322Vx88cWcffbZTJ6sqNSyLOP1erniiiuEaCEQCATpMPFUuHoxlM8EXzc8dTZ8/ghkSUSoKbTy0rWHcfEhY5Bl+O1bG7nhH8vxhSJZqScYmuEmhagdFkFfhEgouTGSPaFXPSza2tISrZIdCQGotg+dFNIf77Cw5irSNBJCbl1DOIkOC73JhClPSbboG4GxEHuRCY1OIhKO4end1bBSlmW6WpTvq6N0zyknI40ckxMjIUXlSgeNd8nSrNYsHz8RW1Ex4YCfHSu+zFqdFY0urnhiKcFIjBMml/D7b85Eq8mOWBHt76fxmmuJ9vZimjKF3jNOYdnrrwJw6vU3U1I7Nit1BQKBYLhkTLBobW3lxhtvTHx8zTXXsH37dtauXcu///1vnn76af7973+zdu1aduzYwbXXXotGo0GWZW688Uba2tJrJxUIBIKvNc5quOxNmH4ByFF441Z49QYIZ8dB36jT8stzp3PvedPRayX+u7qV8x78hMaePbeZC7LLcJNCjBYdWp3yFiCdLgtdqSJYyD4fMY8n5fOo6x5Oh8WOvh173ccbvxDPy5Vg0bmeqD9MLKx8T/VV+/Z+GMmxEI1Wg7NETQrZ9f9rc38zuj7FzLSssi7na0sGd5efUCCKVqehZK6SYuL7/POs1pQkiQmHHgHAps8+zkqNjW0evvvYEryhKIeNK+T+b89Br82Od4Qci9Fy6w8Jbd2KrrQU3Y9u5b2nHgVg/jcuYsIhIvFPIBCMHjL2m/DBBx/E5/MhSRKPPvooDz74IGP2YjpVXV3NAw88wN/+9jcAfD4fDz74YKaWIhAIBF9PDBY471E46R6QNLDiGXj6HPD1ZK3kRfPG8NxVh1KUZ2RDm4dzHviYZQ3Jp1UIMsNwk0IkScpItKnGbEbrcABKl0UqhEPBxGhEMh0WNXbF/HWne++RvjkfCRlkuKkrLUVj2rd3xkgbbw4eCxnMuu512HxKl0hBWWXO15UMandFYVUeeYfMA8C75POsj6VNjAsWW7/4PONjITu6vPzP3z/H7Q8ze4yTRy85CFMW0206//IX+t9/H8lopPDX/8frT/yVaCRC/cGHMv/8i7JWVyAQCFIhY4LFW2+9hSRJnHTSSVx++eVJHXPppZdyyimnIMsyb775ZqaWIhAIBF9fJAkOuxEufhGMDiX69O8nQs/2rJU8qLaABTcezrRKO93eEBc98hlvrG7NWj3B7gx0WCQvFlkzZrwZTwppT83HQo001er1GC3WIfevcyh3/lu8LYSiexZb+nNtutmygpAnPg5SvfdxEJWRjjZNJIW07eqhMViwcMb9SUYbqmBRPMaGZc5s0OuJtLQSbmrKat2y+gnKWEgwwI7lmRsLaXMHuPhvn9PpCTK53M4Tl87DatRl7Pxfpe/Nt+h+6K8AlP7sbt57ZwH93V3kl1dyynU3i0QQgUAw6sjYb6Vt27YBcM455wzruLPPPnuX4wUCgUCQAeqPhyveAnsVdG+Bv50ATdmbvS53mHnhe/M5blIJwUiM6/6xjL8t3ibMOHPEQIeFK+ljLBmKNtUN8rFIhcHjIMmYCxaaCrHqrcTk2B59LEL+COGA4suRs1jT1hUDhpv7iDRVscc7LEbCwwIGJYXsocPC7lVSIZylo1ywqM5DY7Fgnj4dyM1YyMT5RwKw8dPMGBu7fWG++9gSml1+xhZZefqKeTgs2UvlCGzcSMvttwNQcOmlrPG7aVizEp3RyFm3/BijxZK12gKBQJAqGRMsPPHZ1YKCgmEdp+7f39+fqaUIBAKBAKBkMlz5LpTNAF8XPHE6bH4na+WsRh2PfGcu3zm0BlmGe/67np8tWEdsD0kEgsySUoeFPTMdFmpSSCTFpJDhGG6CcuFYa68F9uxjoY6DGC069MbstdUniISgfW1ShpsqCQ+LERMsdu+wkGWZTR3rMYeU79loNN2U5QHDzZIaJRnHeuihAHg//Szr9dWxkG3LlhIOpucPFAhHufKppWxs91BiM/LUFfMoysuewBbp7VUSQfx+rIcdRt8xR7DklX8BcPLVN1FUXZO12gKBQJAOGRMsCgsLAdi+fXhtxzt27ACGL3QIBAKBIAns5XDZ61B/IkT88NxFsPbfWSun02r4+dlT+clpSiLUE5/s4H//tZJINJa1moIBs8qUOizSjjZVOyxSGwMarmABUOuoBWCHe8dur/W7cmy42bEOoiFCPqWePomREEeJ8j1zdYyM4bgz7mHh94QJeBWTzVZvK7FeRcAw5dkwWfNGZG37oq/LT9AXQaOTKKhQukSs8+OCxefZ97EoHTcee3Ep4WCA7WmkhciyzB2vrGHpjl5sJh1PXj6PqvzsdTfIkQjNP7iZcFMT+upqLLfdypt//TMAc047m0mHH5212gKBQJAuGRMspk2bhizLPP3008Riyb0xjUajPP3000iSxLRp0zK1FIFAIBAMxmiDi56DaedDLAwvXg7Ln8laOUmSuOqosfzxW0ok38vLm7nmmWUEwqnHZwr2jXWYKSEwEG2atodF/E58qh0Ww0kIUUkYb/btbrypdlhYnTnyr2hdAUDYp3w/DUmMhKjjFv093URC6QlGqWAw6RKCjqtdGQvZH/wrOnbG40wr8xIpN6aZM5FMJqJdXQQ3b85qfSUtREnQ2PjpRymf59nPG3jxyyY0Ejx48Rwml9sztcQ90vHb3+L77DMki4XSP/6e/z76F0J+H5WTpnDUxZdltbZAIBCkS8YEi7POOguAdevWcd111w2pcsuyzPXXX8+aNWuAAS8LgUAgEGQBrV5JEJlzCcgxePV6+OyhrJY8d3YVD//PXAw6De+ub+eyx5fSH4xktebXFdXDwt/vIRpJ7ntszZCHRaLDoj21boFUOizq7Irx5p5GQrwJw81cJYSsIBaRiPQrglwypptmuwO9yQyyjLszNaEnXdQuC3UsRBEsRrl/RVywKK4ZuMDXGAxY5s4FwPdZDsZC4j4W25YtSWks5MudvfxswVoAfnjKJI4cX5zR9X0V92v/pefJpwAov/dXfLjwTboad2J15nPG93+EVpc9g0+BQCDIBBkTLK688kqq4rnjjz76KHPmzOHZZ5+lo6Njl/06Ozt59tlnmTt3Lo8++iiSJFFVVcWVV16ZqaUIBAKBYE9otHDmfTD/BuXjN38Ei/+Q1ZInTCnlycvmkWfU8em2br772BI8gXBWa34dMdlsSJIGZBl/nzupYxIdFmmOhCRSQtL0sEilw2KPIyG9ORYsBhluaux2tE7nkIdIkoQzPhbiTlHoSZf88rjxZutAh4XdO8o7LBL+FbZdPp8YC8mBj0Xp2HocJaVEgkG2L/9iWMd2eAJc+8yXhKMyp00v4+qjxmZplQrhtjbafvYzAAqvuZptcogNH3+ApNFwxvdvIy9fjGMLBILRT8YEC5PJxEsvvYQl7jC8atUqLrnkEsrLy3E6nVRWVuJ0OikrK+OSSy5h5cqVyLKMxWLh5ZdfxmjM0RsLgUAg+DojSXDSPXCM4hTPez+DT/6S1ZLzxxXyj6sOwWHW8+XOXiFaZAGNRovF4QDAm+RYiNph4feEiKXhMaKLX3jH+vuJpmCg7XX1AJDnTP7iSRUseoO9uIO7CjQDIyE5eF/xVcPNJLorVBzxLgbXSAkWaodFuw9ZlncdCRmFHRaDDTeLx+wqWFgOnQ+Ab+lS5CQ7jFJFGQtRzDeHMxYSjsa4/tlldHiCjC/J4zffmJlUKk6qyLJM60/uIObxYJoxg/BJJ7Doqb8BcPT/XE7VZDGKLRAI9g8yGrZ88MEH8/HHHzNlyhRkWU5sfX19tLW10dfXt8vnp0+fzieffMLceCufQCAQCHKAJMExP4Jjfqx8/PYd8PnDWS05o8rJs1cqosWyBpcQLbKA2qGQrI+FOU+PpJFAVswXU0WbZ0VjUy4gI+3D77JQjUKt+cmPhFj0FkosJcDuYyHeXJpudq5XDDcDSreCPomEEBW1i8HdnppZaboMTgpp97XTG+zFPopHQtydfkL+CFqdJmG4qWKaPAmNw0Gsv5/A2rVZX8vAWMhSwoHkxkJ++d/1ismmUcdfvzOXPGN2RzFcL7yA9+OPkYxGnD+5ndfu+w2xaJQJ849kzmliDFsgEOw/ZFSwAJgxYwarVq3iP//5D5deeimTJ0/G6XSi0WhwOp1MnjyZSy+9lAULFrBixQqmx/OzBQKBQJBjjrkNjrpVef7GD2Hp37NablqlYxfR4hIhWmSUgaSQ5KJNJY2ExaZcoHrTjjZVxkLCbcPrFpBlOdFhMRwPCxjwsfiq8WZiJCQXppstKwAIRRUfAkP10IabKo4S5XvmGjHBQrno7+sKsLp9LZoYWAOjdyRE7a4orMpDq9317auk1WKddzCQm7GQkrpxOErLiISCbFu+dMj9/728iSc+2QHA7785k3HF2U1gCTU00P6b3wJQ9P3/xzuvvEB/bw8FldWcfM1NWe3sEAgEgkyTccEClHa5M844g8cee4y1a9fS09NDOBymp6eHtWvX8thjj3H66aeLX5gCgUAw0hz7Ezj8+8rz/94MK57LarnBosXyBhdXPvmFSA/JEKklhRjjx2TKx2J4gkXQ5yUaVkQryzAFiz35WISDUYI+ZSQgJx0WLcuVun4zAIbhdFjE01XcHSNjumlxGDCYtMgxmQ3bt5Ln0yHJoDeahuUnkivUhJCSr4yDqFgOjftY5MB4c/BYyKYhxkLWtfRx+8urAbjxuHpOmlqW1bXJ0SgtP7od2efDMm8ea3UxGtetRm8yc9YtP8ZgMme1vkAgEGSarAgWAoFAINhPkCQ44W449Drl41evh83vZLXktEoHz1xxCDajjs+393D9s8sIp+GhIFAYGAlJrsMCwBo33ky/wyKeFDJMwcLbq6zVaLGiNwxPYKh11AK7joSoCSF6kxaDOQfpB/FI05BLEV30w+iwUMcu3O1tyEnGwWcSSZJwxrssmho7BvlXlI3KG0qdDX0AFNfsWbCwzld8LPzLlhFLckwjHSbGBYtty78gFPDvcZ++QJhrn/2SQDjGMROL+f4JE7K+rp4nnsS/bBkaiwXvhd/gi9f+DcAp132fwsrkBTWBQCAYLWRNsOju7uaJJ57guuuu45xzzuH444/nnHPO4brrruPJJ5+ku7s7W6UFAoFAMBwkCU76Jcy4EOQo/PMSaBqe+/1wmV7l4O+XHoxRp+G9DR3c8s+VRGP7jsMW7BtrYiTElfQxiQ6LdJNCSlNLCkkl0lQl0WExSLDo7437V+TQcFOOQbhTMf4cToeFragYSaMhEg7RHx+LyTWqj4W7PZCINHWMQv8KOSYnIk2/mhCiYqirQ1dSghwK4V+xIutrKqkbh7O0XBkL+XLJbq/Lssyt/1rJzm4flU4zf/rWLLSa7ApBwa1b6fzznwEwXH8t7/1TiTM96MzzmHDI4VmtLRAIBNki44KFx+Phuuuuo7q6miuuuIKHH36YBQsWsGjRIhYsWMDDDz/M5ZdfTnV1NTfccAP9KTiKCwQCgSDDaDRw9v1QfwKEffDsBdC5Kasl59UV8NfvzEWnkfjPyhbuenUNsixEi1QZGAlJvsPCkuiwSE+wSHRYDDPxIuFfkUK8ouph0dDXQExWOhT6XTmMNI0bboajTohGkQwGdKWlSR+u1emwFyneFyMWbRoXLIweGw7VcHMU+le4O/2EAlG0ek0ijvWrSJKU03hTSZKYMH/vaSGPfbyDt9a2Y9BqePDiOTgthqyuR45Gaf3JHcihEMYjD2fR2i8J+f1UT5nOkRd9N6u1BQKBIJtkVLBoaGhg9uzZPPzwwwQCgV0SQb66BQIBHnroIWbPnk1jY2MmlyEQCASCVNDq4YInoXIu+HvgmfOgryWrJY+dWMIfvzULSYJnP2/g/oVbslrvQMbiUASL4XRYWBMeFumNhKTcYdGbmuEmQEVeBTqNjmA0SJtXueBPRJrm59BwU18PgL6qCkkzvLdVIx5tGh8JcfpLKQ3Zleel2fVYSIWO+DhI0R4MNwdjOUT1sfg0J+uadNhRAGxf8QVBnzfx+S939nLv6+sBuOOMycysdmZ9Lb3P/gP/ihVIVitrxlbR09xIXn4Bp/+/H6LRarNeXyAQCLJFxgSLUCjEKaecwrZt25Blmby8PK6++mr+9a9/sWLFCjZv3syKFSt48cUXueaaa7DZbMiyzNatWznllFMIh4VTvEAgEIw4xjz49r+gsB7cjfCPb0HIO/RxaXDmzAp+fvY0AH7/ziZe+rIpq/UOVCxOJwDe4Zhu2jPUYVEeTwkZZqyputZUBAutRssYm+IZoRpvehMJITnosIj7V4RjSleFYUzy/hUqznhSyEhHm+b7S3H4lZ8FZ2nFiKxlX3QOYbiponZYBFavIerxZH1dRWNqKawaQzQcZvMSRSTp8Ya44R/LiMRkTp9RzncOrcn6OkJNzXT88Y8AdJ17OptXfIFGq+WMH9ye0v8tgUAgGE1kTLB48MEH2bBhA5IkMX/+fDZs2MBDDz3E+eefz4wZMxg3bhwzZszgvPPOS+x7+OHKPN2GDRt48MEHM7UUgUAgEKSDtRD+52WwFkPbKvj31ZBlU8DvHFrDNUePA+C2l1bx8ZaurNY7EFEvTAKePqKRSHLHZKrDIp4SEnO7iXmTF7jS6bAAqLXXAgM+FjkdCYknhIQCSpeCfhj+FSqOUjXadGQ6LOzFZmQphi6qR9un3Dhylo3CDou4YLE3w00VfXk5hpoaiMXwLR06bjRdJEli4mFHArDxkw+JxWRu/ucKWt0BxhZZ+fX5M7JuYCrLMm133Yns9+OdM5Mla5Wfy2MuuZLKiZOzWlsgEAhyQcYEixdeeAGA8vJy3njjDSoq9q3Ql5eX8/rrryf2e/755zO1FIFAIBCkS34NfOtZ0Bpg/QJ4/5dZL/nDkydy1swKIjGZa57+kg1tfVmveSBhzrMlRhL8fe6kjlE9LHx9obT8Q7R5eWhsysVkuDX5boGE6WYKHhYANY5djTdV001rtjss4oabAGG3EstrGEZCiEoi2nSEBAutVoPH3IMcc0M0hs5gxF5UMiJr2RtyTKazUTXctA+5vyWHPhYwMBayc/UK/vbuKhZt7MSk1/Dg/8whz5j9pBr3y//G+8mnBC1mllo0yLEYkw4/mlknn5H12gKBQJALMiZYbNy4EUmSuPzyy7Hbh/6DAmCz2bjiiiuQZZmNGzdmaikCgUAgyARjDoGz/qI8X/w7WPXPrJbTaCR+e8EMDqkrwBOMcNnjS+nwZD+e8EBB0miw2B3AgBAwFOpISCwqE/CmN5qpj9+ACLck73uSECwcqXVYqMabO/t2xs+Xow6LuOEmJgehNqVLZDgJISoDHhYjMxLS4eug29iCHFWS2woqh+/DkW1cHT7CgSg6vSYxwrIvrIcq8aa+z3IjWOSXV1I6th45FuP1/7wFwF1nTGVSWXLvhdMh3NFB+69/TQxYM28GPk8fRdU1nPS9G0dlNK1AIBCkQkY9LACmTp06rOOmTJkCIDwsBAKBYDQy80I44mbl+avXZz3u1KjT8sh3DmJcsZVWd4Brnv6SYCSa1ZoHEpZEUogrqf21Og0mqz5+TJo+FukIFvmpCRaJaFP3DiLhKH6P8l4iz5ll08244aZcNoNQ3Dhcn0aHhd/TR9Dny9jykmV993p6ze0JwaKoavhfQ7bpbFC6K4qq89Dsw3BTxXLIPACCmzcT6crNaNn4+cpYyNi+zRwzsZiL5g1fvBousizT/otfEOvrY/v0CbT3dqE3mTnz5h+jN+XAdFYgEAhyRMYEi6qqKgD8fv+wjlP3r6yszNRSBAKBQJBJjrsTJp2h3FH+5yXgze5FgMOi52/fPRi7SceyBhc/flnEnSaL1eEEhmm8mYg2Tc/HIiFYNCcnWETCYQL9ysVoyh4WjloAWr2t9HQr59LqNRitWW7FjxtuRvMmI/t8IEnoq4b/PsZosWKyKXfi3R25HwtZ170Ol7mdWCzeYTEKBYuEf8WY5DoWdPn5GCcr3g3ezz7P2roG82lM+b5VBlu569iKnHQ3eN56G88779LpyGOjVvEYOunqGymoEO+nBQLBgUXGBIsTTzwRWZZZuHDhsI577733kCSJk046KVNLEQgEAkEm0Wjg3L9C4Xjoa4YXL4dYdrse6oqsPHDxHLQaiZeWNfH3j7Zntd6BgkUVLJIcCQGwqj4WOe6w8MXXqNXpMOXt20xxb+Qb87EZbMjIbG9ROh3ynMbsXzCqkaYoX7OuvAyNwZDSqZwJ483cj4UogkVHosOicBQKFmqHRckQhpuDsR6au3jT1U1u7l/SSbNRGe/pXr0k6zWjLhdtv/gFfr2WVfVVIMvMPPG0hJ+GQCAQHEhkTLC48cYbMZvNPPfccyxevDipYxYvXszzzz+PxWLhxhtvzNRSBAKBQJBpjDb41jOgt8L2D2DhPVkveeT4Yu44XblT+qvX1/P+xo6s19zfsQ5zJATAEk8KSbvDonJ4goUqqlic+SkLDJIkJXwsGluVDoWs+1dEQtC+BoBwULmITsVwU8UZ97EYCePNdd3rcJvakaOKD4e9eHRFmsoxOSFYFA8RaToYNd7Ul2XjzUA4yi3/WkEkJmOYMAdQ0kKyTfu9/0e4u5tVE2sJRsKU1I7jmEuuzHpdgUAgGAkyJlhMmDCBxx9/HJ1Ox2mnncaDDz6Y8LX4KuFwmIceeojTTz8dvV7P448/zvjx4zO1FIFAIBBkg5JJcHbchPOjP8CG/2a95KWH1fKtg6qJyfD/nltOY0/u5/z3J9QOi+EIFiPVYdHvSi/SVEX1sejqcinny6XhZrfy82ioqUn5dI6Skemw6PJ30eHvwBiKAlFASySSl9M1DIWrw0c4mLzhpopl7lzQ6Qg3NxPasSNr6/vjO5vY1N5PUZ6Rm674BpJGQ/u2LfS2NmetZv/ixbhffZVN5YV0a8FgtnDmD36ELsUOH4FAIBjtZGzI8+c//zmgjIa89tpr3Hjjjdx5550cccQRjB8/HqvVitfrZcuWLSxevBiXywXAGWecwbp16xLH74m77rorU8sUCAQCQTpMOx8al8LnD8G/r4GrP4SCuqyVkySJX5wzjY3tHlY0urjmmS956drDMOm1Wau5P2NNYSTEYlc7LDIjWEQ6OpBDIaQhLqDUkRCrM7VIUxXVx8Ld4yOPwpwZblI+k9CqBgAMNel0WKiCRW47LNZ1rwNgQqwKiCFpC+ht8VExLj0BKZOo/hVF1bakDDdVNFYr1nkH4/3kUzzvvkvhlZnvPli6o4dHFm8D4N7zplNRXkzN9FnsWLmM9R99wGEXfDvjNaP9Xlp/+lPabRa2lTgBOPna/4ezrDzjtQQCgWC0kDHB4u677060dKqPvb29vPbaa7vtK8tyYp/XXnttj/sMRggWAoFAMIo46RfQsgwaP4eXroTL3wStPmvlDDoND148h9PvW8zalj7u/s9a/u/8GVmrtz8z3JQQGDDd9PWlNxKiLSxEMhqRg0HC7e0YqvedlNDfqwoWzrTq1tprAQi6o+SRg5GQuOEm5bMIvaZEsuvHZGAkJMemm6pgURspBtqRtIV07PQw9cicLmOfdKqGm8Pwr1CxnXgi3k8+pe/tdzIuWHiDEW7550pkGb4xt4oTp5QCMOnwo9mxchlfLHiZutlzKa+fmNG6nX/4A57OTlZNUn7eZp96JhMOOTyjNQQCgWC0kdGwbVmWd9n29Ll9fX5v+woEAoFgFKHVw/l/A6MDmr+ARfdmvWSF08x9F81GkuD5pY38c2lj1mvuj6SSEmJ1ZKbDQpIk9OXKxXcySSGZ6rBQR0Lw6uLny7JgoXZYVMwi1BDvsBiTxkhIvMOir7ODaCSS7uqSRhUsCvuVjhSNppCOnX05q58MHQ3KeoZjuKliO+EE0GgIrFqV8bGQ/3tjAw09PiqdZu46c0ri85MOP5qaGbMJBwO8eM8dNK5dlbGavi++oPu5f7C8ppSwRqJs3HiO/p/LM3Z+gUAgGK1krMPi/fffz9SpBAKBQDDacY6Bs/4M/7oUFv8Bxh4Dddl1qD9yfDE3nzCB37+ziTtfXcPUSjtTKxxZrbm/oXZYBDx9RCNhtLqhO18SHRbu4C4dkKmgr6ggtGMH4eahZ/gz7WFhCigXtVntsIiGoX2t8tQ6jpjbDYBhzL67SfZFXn4BWr2eaDiMp7srMSKSbVTBQt8bIghI2kJ6mr1EwlF0o2DkKhaT6WzsB4ZnuKmiKy7GesTheD9cjOullym55eaMrOvTrd08/dlOAH7zjRnYTQP/x7Q6HWfdfDuv/PYeGteu4qV7f8qZP/gR4+YeklbNWCBA8x13sq6iCJfVhNFq5Yzv35bU/2+BQCDY38mYYHH00Udn6lQCgUAg2B+Yei5seQ+WPw0vXw3XfgyW9O6WD8X1x9azvNHFwg0d3PCP5bx24xFYjRn7U7bfY86zodFqiUWjeF0u7EXFQx6jdlhEQjHCwSgGU+rfz+EkhXjVkZD89H5mTDoTleYqrGFFvLIVZNHDomM9RINgdBBStAp0paVozOaUTylpNDhKyuhpbsTV3poTwaLb3027rx1Jlgh0KJGmJlsp4aBMd7OX0lp71tcwFK52H5FgFJ1BQ36ZNaVzOM//Bt4PF+N+5RWK/99NSLr0flf4QhFue0npmrho3hgOry/abR+D2cJ5P7qb1/78a7Z+8Tmv/u6XnHLdD5hy5LEp113/63v5xBChz6H8jJ96/c0Js1aBQCA40MnoSMiBTmtrK3fffTdz586lsLAQi8XCuHHjuPTSS/nww8zGWHV3d/P222/zq1/9ivPPP5+amhokSUpsO7Loei0QCARJc+qvobAePC3w6g2Q5VE+jUbiD9+cSbnDxPYuLz/9z9qs1tvfkDSaRJeFN97BMBR6oxa9SbmjnnZSSGUlkKRg4VYEi7w0OywA6vWTlCc6GVNeFu86tyxXHitmEmpUxpIMafhXqKgihTtHSSHre9YDMFE7hkgohFavp2xcFQCdo2QsRF1HcbUNjSa1rh/bscegLSgg0tlJ/+LFaa/pd29toqHHR7nDxI9Pm7TX/XQGA2fd/GOmHHUccizGG/f/nuVvLhh2PV+fm9f/72e8ue5L+sxGDAYjJ1/7/bQ7NgQCgWB/QtyWSpJXX32Vyy67jN7eXZ3Xt23bxrZt23jyySe5+uqreeCBB9Bq02ulXL16NTNmCEM5gUCwH2Cwwjceg7+dABv/Cyufg1mZd8cfjNNi4E/fmsVFj37Gi182ceT4Is6eVZnVmvsTec58+ru7Eh0MyWB1GHEFfHjdQZylycdHfpVko03lWCzhYWHJgGBRJY1VzmsJpTXSMiSDDTc3Kf4V+jQSQlQcOU4KUcdBJsrVQCMF5ZWU1DhpXOdOJHOMNB0NqRtuqkgGA46zzqLniSdwvfQStmNT73L4cmcPj3+yHVBSQWymfQtjGq2WU679PkarleVvLGDh4w8T8PZz6HkXDvkzKssy6z5cyKKn/kagX/k+1FnsnPKnBxPRxQKBQPB1QXRYJMH777/PN7/5zYRYcfrpp/Pwww/zzDPPcPPNN+OIt+g9/PDD3HDDDWnXi0aju3ys1WqZOnUq5jRaTgUCgSBrlM+EY25Xnr/xI3AP7V+QLoeMLeTG48YD8JN/r2FntzfrNfcX1BGLZDssACx21cciM9GmQwkW/n4PsfjfunRTQgBKY4pg5TdluTtgF8NNxcfAUJO64aZKIikkR4LF2i6lM6ky4ASgsLqGkhplDGS0CBZqQkhJCv4Vg3Gefx4A/Ys+INLVldI5AuEot764KpEKcszEkqSOkzQajv3u9zjsgosB+OSfz7Loqb8hx2J7Paa3rYUX77mDNx/8I4F+D3n+IIe1ujjrd38RYoVAIPhaIgSLIQgGg1x++eWEQsqbuL/85S+89tprfO973+Piiy/m97//PUuWLKGsTLk78te//pWFCxemVdNms3HJJZfw5z//mY8//pi+vj7WrFlDSUlyfyAFAoEg5xx2E1TOhaAbFtyU9dEQgBuPq2debQH9wQg3PrecUGTvFwFfJ1QTy/5hdVgogoXXnV60aUKwaGvb50WZN95dYbLZM2Ic6AgrXgK9+o60z7VXBhluUj6L0M64YJFGQoiK6kfgytFIyNpu5euw9SlvAwsrqxNJHD2tXsKh6F6PzQWxaIzORrXDIj0/DeP48ZhmzoBIBPerr6Z0jj+9u5ltnV5KbEbuPH3K0AcMQpIk5n/jIo699HsALHv9Vd586E+7JcJEIxE+f+VfPPW/N9CwZiVanZ6J7S6O2NTElP/9IbrCwpTWLhAIBPs7QrAYgsceeyzhF3HmmWfusYNiwoQJPPDAA4mP77jjjrRqjhs3jieffJKbbrqJww47DIsl9fZcgUAgyAlaHZzzEGiNsOVdxYgzy+i0Gv504SwcZj2rmtzc997mrNfcH1BjQofVYRE33ky3w0JXUgJaLYTDRDo797qfKlhkwr8CBhJC2qVmwtFwRs65G4MMNykYS3hnPNI0AyMhiQ6LjrasR7p3+bsUw00kYl1KCkdh1RisTiNmuwE5JtPd1J/VNQxFx04PkVAMo1VHfhojSirO888HwPXiS8P+/q5v7ePRxdsAuOecaTgsqQlsc049i1OvvxlJo2Hdhwt55be/IBTwA9CyaQPP3P59PnruSSLhEGOmzuCEqJFxbd3Yjj4K+5lnplRTIBAIDgSEYDEEzz//fOL5zTfvPRLrnHPOoba2FoBPP/2UnfE7LwKBQPC1oXgiHBcXbN/8Mbgas16ywmnm/86bDsCDi7awrCH5roIDlTx1JKR3OIJFvMOiL70OC0mnQ19aCkC4ee9jIeraMuFfARD1KJ4AfYZuGjwNGTnnbqj+FRUzifb1EXW5ADBUpx5pquIoUb5nIb8fvye7Yy3qOMhYex29LU0AFFaPQZKkRJdF+46RNd5s2qD8P66akI+UouHmYOynnYZkNhPavh3/8uVJHxeLydzxyhqiMZlTp5Vx0tT0kjmmHHUc59x6JzqDkR0rvuQfP7mF/973W56761a6GnZgstk55bofcFzdFLQrVqKxWim/++7s+rIIBALBKEcIFvvA4/Hw0UcfAcqYxpFHHrnXfTUaDaecckri4zfeeCPr6xMIBIJRx/zroWoehDzwnxtzMhpy6vRyzp1dSUyGm19YgS8UGfqgAxhrvpoSMjzTTUi/wwKS87HIdIdFf48itPQbe9nq2pqRc+6GmhBSPotQgyLGaYuL0FhTi9wcjM5gIK9Aafl3tWV3LGRN9xoAphsnEAkG0ep0iQ6PAR+LERYsNiqCVuXEzPx8aPPysMffo7lefCnp4/71ZSNf7uzFatBy15nDGwXZG2PnHMw37/oVJpud7qYGNnz8AcgyU446jsv+8BATJkyh649/BKDkf29BX16ekboCgUCwvyIEi32wbt06YvEZ3NmzZw+Z/nHwwQcnnq9evTqraxMIBIJRiUY7MBqy7X1Y/WJOyt591lTKHSZ2dPu49/UNOak5WkmMhKTSYZEJwaIyecEiUx0W/T0B5dHgYqs7W4LFCuWxYpB/RQYMN1UGj4VkE7XDoi6s+GLlV1Shib+/UTssOnaMnPFmJBSlbasimFRNyszPB4DzG8pYSN+bbxLtH9qkt8cb4t43lN8lPzhxAuWOzBmfl4+fyEU//w2Vk6ZQPn4i3/jJPZx6/c1Y7A7a7vklMZ8P8+zZOL/1rYzVFAgEgv0VIVjsg40bNyae19XVDbn/4H0GHysQCARfK4rq4ahbledv3Q7+7I9pOMx6fvuNmQA8/dlOPti0d/+EA51Eh4XbRSyWnHmi1a52WKQ3EgKgS3RY7D0tRhVT1PGVdAj6I4QCytfZb+xlm2tb2ufcja8abjZkznBTZSDaNHsdFrIsJww3C33KBXhh5cBIS2mtPb4GH0H/yHQqtW5zE43EsDoMaUXsfhXznDkY6uqQfT763nh9yP3vfX09Ll+YSWU2Lj2sNmPrUCmoqOLCn/2Gb9/ze2pmzAKg75136H/vPdDpKPvZ3Uga8TZdIBAIxG/CfeCKz6cCFBUVDbl/4SAH58HHjhaCwSB9fX27bAKBQJAVDr8JiiaCtxPevTsnJY8YX5S4sPjhiytx+7JkvjjKsTryQZKQYzH8Sf6etzqVDougL5J2QkRSIyHu3njd9O+gq90VWhNEtKHsdFjszXBzTPqGmyrOeFJINqNN27xt9AR60Ek6dPExmsKqga/BbDNgKzQBIzcWkvCvmFSQUe8GSZISEaful17e575Ld/Twry8Vf49fnjsNnTb7b5ej/f203/NLAAqvuALThAlZrykQCAT7A0Kw2Af9/QMu2SaTacj9zeaBdkGPZ3TkmA/m3nvvxeFwJLbqDBiFCQQCwR7RGeEMZQ6bL5+Ahs9zUva2UyYxtshKe1+QX76+Lic1RxsarRaL3QEk72NhMOvQG5WxAG9vhqJN9yVY9GZQsIiv15qvdInsdO8kEstwd4BquFk+AySJUEPmEkJUHGXKSIgri4KF6l9Rn1+PK94BU1i969eQ8LEYIePN5o2qYJG5cRAVx9lng1aLf8UKglv3LGyFozHu+LfyfbpoXjVza9LvAkqGzj/+iUh7O/qaMRRde01OagoEAsH+wH4vWBxzzDFIkpSRbXAiyIHI7bffjtvtTmyNjdl38BcIBF9jag+H2f+jPH/t+0pbfZYxG7T8+hszkCT45xdNLN789RwNUYWAZH0sJEkiL37B7+kNpFV7QLBo3WuEpCqkWDMwEuKJd1jkF+Vh0poIxUI09+99HCUlEv4VswGy5GGhdlhkbyRE9a+YWjCF7iblPUBh5VcEi9q4j8XO3N94CfojCaEkU4abg9EVF5N39NHA3s03H/toOxvbPRRYDdx2yqSMr2FP+FeupPcf/wCg/O670SRxk0wgEAi+Luz3gkU2ycvLSzwPBIZ+A+f3+xPPbTZbVtaUDkajEbvdvssmEAgEWeXEX4ClEDrWwaf356TkwbUFXHKociH5o5dW4w1+/VJDVCGg35W88WZegXKRpCZupIoqWMg+XyL6czDhYICQ36esMyMdFsrfZ1uBiTqH4iWV8aQQNSGkYhZRj4doj/J91WdwJMQRHwnp7+0hHErfS2RPqB0WE/W1hAN+NFodzrJdUyhUH4uR6LBo2exClsFRYsZWkJ2LdtV80/3qq8ihXU1mm3p9/OndzQDcfuoknBZDVtYwGDkcpvWun4Is4zj7bKzz52e9pkAgEOxP6EZ6AenyjW98g1mzZmXkXBMnTtzlY6fTmXje1dU15PHd3d17PFYgEAi+tlgK4KRfwivXwKJfw7RvgDP742g/PGUS767voNnl57dvbeTus6ZmveZoYqDDInnDU7XDoj/NDguN0YiupIRIRwfhpiZ0+buKEuqadAYjBnP6poqqwGIrMDHOMo71PevZ5t7GcRyX9rmBPRhuKuMg2sJCtINubKSL2WbHYLYQ8vvo62jfxVsiE8iyzLouZUyqMuCkBcgvr0Cr2/WtYPEYG0jKqI3XHUxE3uaCpg2KEFSVhe4KlbyjjkJbXES0swvP+4uwn3xS4rWfLViHPxxlXm0B35hblbU1DKb7iScIbtyI1umk5Ee35aSmQCAQ7E/s94LFDTfckLVzDxYwtm/fPuT+g/f5qvghEAgEX1tmXgjLn4GdH8E7d8EFj2e9pNWo497zpnPJY0t48tMdnD6jnINrczOLPhrIy1dMoL3D6bDIj3dYpOlhAaCvrFQEi+ZmzNOn7/JaYhzE6cyIqaI6EpKXb2SsaSyQ4Q6LwYab+XWEl7wFZNZwE5SxnPzyCtq3baG7uTHjgkWDpwFP2INBY8DoUoxV91TDYNKRX2alt9VLx04PdTNyKVgMGG5mC0mnw3nOuXQ/+iiuf/0rIVgs3NDOO+va0Wkk7jl3WkYNP/dGqLGRrgceBKDkttt2E/cEAoFAIEZC9smUKVPQxCOlli9fTjS6b+f0pUuXJp5PmzYtq2sTCASC/QZJglPuBUkDa1+GHR/npOxRE4q5YG4Vsgy3vbiKYCS99Iv9iUS0aSodFj3pdVgA6KuUu9PhpqbdXlNFFKszMxelakdIXoGJsc4sCBaDDTc1mqz4V6gU1yjr79ie+WhW1b9iUsGkAcPNqj13O5WqPhY5HAvx9YXoafECUDnBmdVazgu+AYD3448JNTUTjET5+QKl++TyI+qYUJr9sV45HKb1jjuRAwEshx6K45yzs15TIBAI9keEYLEPbDYbhx9+OKCkfnz00Ud73TcWi/HWW28lPj711FOzvj6BQCDYbyifAXO+qzx/8zaI5UY8uOP0KRTbjGzr8vLXRZm/CByt5DmH72Fhi3dYeDLRYVFVCUBoj4KFariZ/t1kOSYnOkLy8o2Mc4wDYEffDmJyLO3zA4MMN2cBENqZ+YQQlZK6uGCxI/PRrGu7FcFiSuEUupuUr6Gwas+iy0gkhajpIIVVeZht2fWOMIwZg/Ww+SDLuF56kb9/tJ0d3T6KbUZuOn58VmuDMp7Teudd+D7/HMlspvzun+ako0MgEAj2R4RgMQQXXnhh4vnvf//7ve73yiuvJEZCDj30UGpra7O9NIFAINi/OO4Opa2+bTUseyonJR0WPXeeMQWABxZtYXuXNyd1R5qUOiwKMuNhAWCoVASLcPPu0aYDIyHpCxY+T4hYVEaSwOo0UmWrQq/R44/4afVmKG0j0WExCyDhYZFJw02VklpFcOnYkXlxbU2XYrg5tXDqQELI3jos6hTBon1n316TXjJNUxbjTPeE84ILAOh58SUefHcjoBht5hmzPy3d+cc/4X7lFdBqqfzjHzCI94wCgUCwV4RgMQSXX345Y+JvShYsWMADDzyw2z6bN2/m+uuvT3z8i1/8Yq/nq62tTcSoLlq0KOPrFQgEglGLtQiOvV15vvAX4HflpOyZM8o5cnwRoUiMO15ZnbMLsJFEHbfwunqS/npVD4twIErQn16yyr5HQlTBIv2RENVw0+o0otVq0Gl01DpqgQyNhUTD0KZc6CciTRviIyFjsjESUguShLe3J/F9ygTRWJT1PesBGKetIuT3odFqyS+v2OP+hZV5aHQSQW+Evi7/HvfJNLkw3ByM7fjj0RYUIHd2MqNhNXNr8jl3dmXW6/Y88yzdjzwCQPnPf4btmGOyXlMgEAj2Z/Z7081sYzKZ+Pvf/85pp51GOBzmhhtu4M033+Sss87CarWybNky/va3v+F2uwG46qqrOOGEE9Ku+/e//303o0/XoHi43//+9zgcjl1ev+eee9KuKxAIBFnl4Cvhi8egaxN88GvF2yLLSJLEPedM46Q/fsjHW7p5dUUL5+TgwmQkUbsXouEwQa8XUxJpFnqjFqNFR9AXob8ngLEy9QSMhGDR3IwciyFpBu6PeHtVD4vMRZqq/hsA4xzj2Ny7mW2ubRxVdVR6BTo3xA037ZBfR7TfS7RTSQ3LxkiIwWQmv6yC3tZmOnZso27W3Iycd7t7O/6IH7POjMWtCFjOsgq0Ov0e99fqNBRV5tGx00PHDg+O4vTTXPZFX5efvq4AkkaiYrwzq7VUJIMB3wmnY/zn01y+9r+U/fjirI9l9L39Nu2//CUARTfdiPP887NaTyAQCA4EhGCRBCeccAIvvPACl19+OS6Xi9dee43XXnttt/2uuuoqHnrooYzUfPrpp/nggw/2+vr999+/2+eEYCEQCEY9Wr0iUjxzPix5FOZdBQVjs162ptDKjcfV87u3N3HPf9dx7MQSHJY9X6wdCOgMBkzWPALefryunqQEC1C6LIK+fvp7gxSmI1iUloJGgxwKEenqQl9SknitP4MeFomEkAJT4nNjHXHjTXcGOixU/4rymaDREG6MR5rm56O129M//x4oqR2rCBbbt2ZMsFD9KyYXTB7ScFOltNZOx04P7Tv7GH9waUbWsTfUcZDSWhsGU27emkaiMX5umc33zf+h0tuF5Zc/Ifb3v6ExZMc/w7dsGS3/eyvIMs4Lv0XRtddmpY5AIBAcaIiRkCQ599xzWbduHXfeeSezZs3C6XRiMpmoq6vjO9/5DosWLeKRRx5Bq9WO9FIFAoFgdFN/Aow7DmJhWJg7ofV7R42jviSPrv4Qv35rQ87qjhTW/LjxZu8wok0z5GMh6fXoy8oACDc17/KaTxUsHBnosOhRDTcHCRbxpJBt7gz4QKj+FV813MyCf4VKSV3cx2Ln0HHqyaL6V0wrmjbIcHPfX0NJbe6MN3MRZ/pVnlvSwDJXjN8efTWS1Ypv6VJaf3JHVkbGgtu20XTtdcihEHnHHUfZnXcKk02BQCBIEiFYDIPy8nJ+/vOfs3z5cnp7e/H7/Wzbto2nnnqKo48+Oqlz7NixA1mWkWWZY/Yxt7ho0aLEfsluAoFAsN9wws8ACda8BM3LclLSoNPwy3OUyOnnljSwusmdk7ojhTpyMRwvBPXCvz8jSSHqWMiAj0UsFsUXH6FUBZV0UIUVW8GuIyEA21zb0v/bmOiwmAUMMtzMwjiISkmtIrh0ZjApZF23Etk5tXAqXckKFvGkkM4GD7FohhJX9oAsy4mEkMoc+Vf0eEP87u1NAFzwrWOp+vOfQaulb8ECOu+7L6O1Ip2dNF71PaJuN6aZM6j8/e+QxM0tgUAgSBohWAgEAoEg95TPgBnfVJ6/+1PIkeh6yNhCzp5VgSzDXf9ZQyx24Iq9qiDgHU6HRdwLor8n/aQQfSIpZKDDwt/XhyzHQJKw2B17OzRpEiMhgzosauw1aCUt/eF+OnwdqZ88GlYSbWDAcHPnDiA7hpsqaodFb2sLIb8v7fOFo2E29CgdRVMLp9KTSAjZt2DhLLOgN2mJhGL0tqW/jr3R2+rD1xdCq9dQNjY7YzZf5fdvb8TtDzOpzMa3540h74jDKf/5zwDofuivuF56KSN1Yl4vjVdfQ7i5GX3NGKofegiN2ZyRcwsEAsHXBSFYCAQCgWBkOPYnoDXA9g9h63s5K/vj0yZjNWhZ3uDi5eXNQx+wnzLQYZG8YGGLCxaejHRYKIJFaFBSiDqeYrE70GTgLrPaCWIb5GGh1+oZY1cuxtPysfiK4SZAWB0JqcmeYGGxO8grKAQyMxayxbWFUCyEzWCjIGIl6PMiaTTkl+/beFajkSgZYwOgPYtjIap/Rfk4Bzp99jsP1rX08Y8lyr/jz86aik6rvBV2nn8+hddeA0DrT++m/+OP06ojRyI0/eAHBNatQ5ufz5hHHkFXkLuRF4FAIDhQEIKFQCAQCEaG/Bo4+Crl+Tt3Qyx7beeDKbWbuPH48QD83xvr6QuEc1I31+QlPCxSGQlJv8PCkIg2HRCFEv4VGRgHiYZj+PpCwID3hsrgsZCU+YrhJgyMhGQjIWQw6lhIx/b0fTjWdCv+FVMLp9LdrHRXOMsq0OmHNp3NhY9FIs50UvbHQWRZ5p7/rkOW4YwZ5RwytnCX14tvugn7mWdCJELzTf+PwMZNKddp+9nP8H64GMlkovqvD2VV5BIIBIIDGSFYCAQCgWDkOOp/weiA9tWw+p85K3v54XWMLbLS1R/iz+9uzlndXJJKh8WA6WYwbf+HwdGmKv2uDEaaupTuCq1eg8m668V3nUPpiEirw0I13CyfCUDM5yPSoYyYZNN0EwYZb2bAx2Jtl5IQooyDxP0rKvedEJJYR9zHomOnJ+117IlYTKZlswuAqonZ7z54b30Hn2ztxqDTcNspk3Z7XZIkyn95D5Z58+LjHFcTbm8fdp2uhx7C9a8XQaOh8g+/xzxzZiaWLxAIBF9LhGAhEAgEgpHDUgBHfF95/v6vFN+AHGDQafjpWVMBeOKTHWxqz84F2UiSkoeFU+mwiIZjBLzp/VskPCxaW5Gj0fha4h0WmRAselTDTdNuiQvjnBnssFD9KxqV7gSNw4HW6Uz9vEmQ6LDYkX6HhRppqiSEJOdfMbAOZSSku6mfUCCS9lq+Slejh6AvgsGkpXhM6jG6yRCOxvjV6+sBuOKIOqoLLHvcT2MwUPWX+zCMG0ekrY3G711N1JPc7wdZlun917/ouu8vAJTdeQe2447LzBcgEAgEX1OEYCEQCASCkeWQq8FaDK6dsOIfOSt79IRiTpxSSjQm84vX1h1waUtW5/BHQrR6DWab0q2gRoamiq6kBEmvh0iESFsbMJBYkgnBwtOrGm4ad3tNFSy2urem9u8ajUC7MkqRSAjZuRPIrn+FSkmtsv7uxgaikdSFo0AkwJbeLcBXEkKqkxMsbAUmnKUWYjGZbcs7U17H3lDjTCsm5KPRZvct6bOf7WRbl5dCq4Hrjhm3z321DgfVDz+MtriI4MaNNF1/A7FQaJd9ov1efMuX0/vCP2n7xT3s/M4lbD50Pm133gVA4VVXkX/RRVn7egQCgeDrghAsBAKBQDCyGKxwxA+U5x/+DiKhfe+fQe44fTIGrYbFm7t4f2MaiRKjEFvcuDEc8BP0JZ/ykCkfC0mjQV9RAUAoPhbiTYyEZCDSNC6o5A0y3FSpc9ShkTS4g266/F3DP3nnBogEwGCDAqXbIaz6V2R5HATAXlyC0WolFo3Q1diQ8nk29m4kIkcoMBVQaikd9kiIJElMPKRUOdfnbSmvY2+ohpvZ9q9w+8L86T1l9OvmkyZgMw3t32GoqmTMI4+gsVrxLVlC41Xfo+NPf6LxuuvZcsKJbDroIHZe9G3afvpTep99Ft/SpUTdbtBqKbj0Uopv/kFWvyaBQCD4uiAEC4FAIBCMPAddDnml4G6AFc/krGxNoZVLD68F4J7/ricczY3xZy7Qm0wYLVYA+nu6kz4uEW2aiaQQdSwkbryppoTk5Weuw8K2hw4Lo9ZIrb0WUC7ah81g/wrVcHNn7gQLSZIoqVGEks40xkIG+1f4XL0EvP1IkoaCiqqkzzFhXhmgiAuZ+JlQiYZjtCb8K7IrWNy3cDMuX5iJpTa+dVByYg2AafJkqu7/C+j1+D7/nO6/Pkz/woWE48k3uuJirIcfTsFll1F+773UvvQiE7/8gtIf3bbbmJJAIBAIUkM30gsQCAQCgQC9GY68Bd74odJlMeti0O1+IZoNbjiunpe+bGJbp5d/fN7Adw+rzUndXJBXUEjQ56W/p5vCquQu1NSOhUwkhSSMN+MXeP3dinBiKyxO+9z76rAAmJA/gW3ubWzs2cgRlUcM7+QJ/4pZiU8NjIRkX7AAKKkbS+O61Wn5WAz2r2hcuwqAojE16AyGpM9hLzJTXu+gdYubTUvbmHNSZkZi2ra7iYRjmG16CiqsGTnnntje5eWpT3cA8JPTJydiTJPFOn8+Yx7+Kz3/+Ae6/AKMEybEt/HoMiC8CQQCgWDfiA4LgUAgEIwO5nwXbBXQ1wzLnspZWbtJzw9OnADAH9/dhNt34MSc2gqLAPD0JD8WoXZYeNL0sADQVyuCRaipkVgsSn+vIljkFRbu67Ck6E90WOxZsJhYMBGATb0pRFMmOixmJT41EGmam3hK1ccinaSQwR0WO1YuA6B21txhn2fiIUqXxabPh5+YsTca16txpgVZ7Ub4vzfWE47KHDOxmKMmpCaUWQ87jOr776f8Fz+n4Dv/g/WQeUKsEAgEghwhBAuBQCAQjA70JjjyZuX54t9D2J+z0hceXM2E0jxcvjD3LTxwYk7z4j4W/d3JCxa2DHlYABjGKBf34Z0NeF29yLEYkkaT0ZQQNYr1q0zIV0SoYQsW0Qi0xQ034x0WsUAgYRyqz5lgoSaFbEeODX9UyRv2ss2tdGdMKZjMjlXLAaidMWfY5xo3pwSNTqK7uZ+upv5hH78nGtcr/hXVk7MXZ/rp1m7eWtuOViPxk9MmZ62OQCAQCLKHECwEAoFAMHqYcwnYq8DTCl8+mbOyOq2GO06fAsBTn+5ge5c3Z7WzSV6B0mGhdjYkdUwGPSwMY5QxlFBDA56urvj5C9FotGmdN+iPEApE4+fb+0gIwHb3doLRYXwtXRsh4o8bbipdDmE10tRmy3qkqUpBZTU6vYFwwI+rvXXYx6/vXo+MTKmllFiHB5/bhd5oonLS8C/cTVY9tdOVn6VNGTDfDHjDdO7sA6B6cnY6FWIxmXv+uw6Ab88bw/hSW1bqCAQCgSC7CMFCIBAIBKMHnXGgy+KT+3KaGHLUhGKOnVhMOCpz7+vrc1Y3m6hJIZ5hdFionhBeVxA5ll7Uqz4enxnt7aWvWfGxUMdU0kHtrjBadeiNexY/Si2lOIwOonKUba5h+ECo/hW7GG7G/SvGjMmZmaJGq6Uo3qGSio/FYP+KHSu+BKB62gy0uqETMvZEYixkSRuxNH8umjb0IsuQX2bZq+CULi8vb2ZtSx82o47vnzA+KzUEAoFAkH2EYCEQCASC0cWsiyGvTPGyWPVCTkv/5PTJaDUSb69r54sdPTmtnQ1Ur4j+nuS/FqvDgCRBLCrj86QnGGnzrGiLFIHCtW1LfE3pCxaeuGBh24vhJsQjOfMVH4thJYWo/hW7GG6q/hW5MdxUSfhYbB++j8Uu/hWrFP+KupnD969QqZlWiNGqw+sO0RyPI00FWZZZ/o7y/ayZnv7Pwp4IhKP84W3l3/z64+opzMuNga9AIBAIMo8QLAQCgUAwutCb4LAblOcf/RFi0ZyVri+x8c147OGvXl+PLKd3J3mkycuPd1gMw3RTo9VgccTHQjJgvGmoVr6ffc3KWEVGOizi4ypD3Z1Xx0I29gxDsGhRvB52MdyMd1jocxBpOpiSOtXHYvgdFmu6FR+OiXn1tGxUOoZqZw7fv0JFq9NQP7cUSG8sZNvyTjp29KEzapl9Yna+n898tpMWd4Byh4lLD6DUH4FAIPg6IgQLgUAgEIw+5l4GJif0bIV1r+a09PdPGI9Jr2FZg4u31mYuFWEkUMUBf5+bSDj59JMBH4tMGG8qF6Wezk5lTQWZGwmx5e/7zvmwjTf3YLgJENq+HQBjXd3wFpomA0kh24YlnrmDbho9ikDkbIsRi0ZxlpXjLCtPaz3qWMjW5Z2EQ8MXEmPRGJ+9qogvs06oxmJPPl41WfoCYR54X+nmUf4vp+eXIhAIBIKRRQgWAoFAIBh9GPPg0GuV54v/ADnsdCi1m7jyCOXO9m/e2kAkOvyEhtGCKc+GTq9cFHqHZbypJoVkINo0PkbR3+cCwJaBSFNPr5oQsu8Oi8HRpkld8O/BcBMguE25yDaMHbe3I7NC0ZgaJEmDz+3C25v8WI86DlJtq6Zj3QYgve4KlbKxduxFJsLBKNtXdg77+PWftOJq92G26Zl9Qna6Kx79cBu9vjDjiq2cP6cqKzUEAoFAkDuEYCEQCASC0cm874EhD9pXw+a3c1r66qPHUmA1sK3TywtfNOa0diaRJCkRbTo8402lc8GTiQ6LuPGmN6DE1NoKi9M+pzqqsrdIU5VxznFoJS2uoIsOX8fQJ04Ybs5IGG5GXS6i3YrYYxyb2w4LvdFEQaVy0d2xM/mxkOWdyljLrKKZbF+h+FfUpuFfoSJJEhPiXRYbPxte91E4GGXJa0qnykGn1WIw69Jez1fp8AT422Klxq0nT0SnFW9zBQKBYH9H/CYXCAQCwejEUgAHXa48//B3Oe2ysJn03HhcPQB/enczvlAkZ7UzzYDxZvIdFja1wyITHhY1Y5CBgBzbZT3poI6q2IbwsDBqjdTaa4EkjTdVw81B/hVqd4WurAyN1TrcpaZNSW3cx2J78oLFio4VAEzVjqOvsx2NVkf11OkZWc/EeYpg0bi+B19f8qasKxc24nOHsBeZmHpkZUbW8lX+8t4W/OEos6qdnDy1LCs1BAKBQJBbhGAhEAgEgtHL/OtBa4SmJbDzk5yWvviQGsYUWOj0BBN3bfdHBow3hzMSklkPi6BOiyxJSBoNVmd+WueTY/KA6eYQIyEAEwqG4WOhdlgM9q+ICxbGsWOHtc5MURwXLNrjKStDEY1FWdW5CoDCuDdm1eQpGEzmjKzHWWqhtM6OHJPZvDS5LotAf5jlbynGpYecNRatLvNvP3d0eXluiZI+ctspk3IWPysQCASC7CIEC4FAIBCMXmxlMOvbyvNP/pLT0gadhltOUi52H/1wG73e9CI+RwrVeLN/OCMhGfSw0DqdBPMdAFhtdjSa9EwQfZ4QsaiMJCkRrEOhRptu6hlCsIhGoG218nxwh8XWuH/FuNz6V6hUT54GwI6Vywh4+4fcf7NrM76Ijzx9Ht5NyjhTzYz0/SsGo5pvbkwyLeSLN3cQCkQpqs5j/EGlGV2Lyu/f2UQkJnP0hGLmj0u/i0cgEAgEowMhWAgEAoFgdDP/euVx0xvQtTmnpc+cUcGkMhueYIS/frg1p7UzRV48lWM4IyGqN4TPHSSWAdPRSKlykWrNwF1+TzwhxOo0oknCoyARbTrUSEjXprjhZh4U1ic+Hdym/Lsbx41Mh0XpuPEUVdcQCQVZ/9GiIfdXx0Fm5k+nab2SeFI3K33/isHUH1SCRiPR2eChp9W7z337uv2sXtQEwPxzxiFpMt/5sKbZzYKVLQD88JSJGT+/QCAQCEYOIVgIBAKBYHRTNB4mnKo8//SBnJbWaCRuPVm5AHrykx2096U/IpFrbKrpZk/yHRYWmwGNVkKWwetOv7MkVKB0WJil9CMmE4abQ/hXqKhJITv6dhCM7qNjRPWvKBsw3AQIqR0WIzQSIkkS048/BYDV7745ZNrJis4VAEwLVBMJBrHmF1A0pjajazLnGRgzTfm5GqrLYumC7cQiMpUT86meUpDRdaj85i1FjDp7VgVTKxxZqSEQCASCkUEIFgKBQCAY/Rx2g/K48jnwJn/hnQmOm1TC3Jp8AuEY9y9MzkdgNKGaXA7Hw0LSSFid8aSQnvRFmoBF6awwhcJpn6uvW00bSU6wKDYXk2/MJybH2OLax79fi5KsQcXsxKdigQDh5mZg5DwsAKYceSw6vYHOhh20bNqwz33VDovCdqWToXbGnKz4OahjISveaeDjl7bQ1+XfbZ/u5n42xAWN+eeOy8o6PtnaxYebOtFpJG4+cULGzy8QCASCkUUIFgKBQCAY/dQcrvgKRAKw9O85LS1JA10Wzy1poKHbl9P66aLGmnp7e4jFoskfl0HjzYBO6aww9u97fCAZ+rqU9TiKkxsvkSQpMRayTx+LPQgWoR07QJbROBxoM5BukiqmvDwmHn4UACveem2v+3X6Omnub0YjaQhsVoSW2pmz97p/OoydVcSYKQXEojIr3mngmTs/5Y2/rqZ5Y2+iC+SzV7aCDOPmlFBaa8/4GmRZ5tdvKt0V3z5kDDWFuU9xEQgEAkF2EYKFQCAQCEY/kgSH3ag8X/oohHM7mnHo2EKOHF9EJCbzp3eTSJsYRVid+UgaDXIshs/lSvq4vAxGm/qiSiysobs37XP1dSqCkb0ouQ4LSCIpZLDh5iDBIrg17l8xduyIp07MPvkMADZ99jFe156/j+o4yFRDPT1NjSBJ1MzIjmCh0Wo4/YaZnHbdDKom5SPLsG1FJ6/8cTkv3LOUdx9fx47V3UgaiUPPzk53yptr2ljZ6MJi0HLjceOzUkMgEAgEI4sQLAQCgUCwfzDlbLBXgbcTVr2Q8/I/PHkSAP9e0cymdk/O66eKRqPFmq94BwzHeNNWoHZYpC9YeP1KZ4W+vRM5lJ4nhrtTGT1ItsMCBpJC9mq82blB6d4x2qFg4OI64V8xQoabgykdW095/URi0QirF769x33UcZDp/ZUAlI0bj9mW+c4GFY1Gom5GEWd/fzYX3XUIU4+qRGfQ0N3cn/C2mHJEBc5SS8ZrR6Ixfvu28u955RF1FNuMGa8hEAgEgpFHCBYCgUAg2D/Q6uHQa5Tnnz4AsfTTK4bD9CoHp04rQ5bh928PkTgxyrDlD99401Zgih+TXjdLLBbF63YBYAqGCLe0pH6uaAxPvOPDXpT8RXAiKaRn455NK9VxkPKZuxhuBrcpgoVx7MhEmn6VWSefDsDKd98gFt19vEcVLApalY9rZ2Y2znRfFFRYOebbE/nuvYdz2Pn1OErMlI9zZK274l9fNrGt00uB1cBVR428oCQQCASC7CAEC4FAIBDsP8z5Lhhs0LURtr2f8/K3nDQBSYK31razptmd8/qpkjDe7E6+w8JepHQw7MlMcTh4Xb3IsRiSDMZIlFBDQ8rn8vQEkWMyWp0Gq8OQ9HHjnOPQSTr6Qn20+9p332EP/hUAoa0jG2n6VSYcegRmm53+7i62fvH5Lq8FIgHW9axDE4XAFkUUGjvn4Jyv0WTVM/vEMfzPz+dz3q1zMVn1Ga/hD0UTo1nXH1uPzZT5GgKBQCAYHQjBQiAQCAT7DyY7zL5Yeb7kkZyXry+xcdbMCgD+9O7mnNdPFdV4s783NcFiqCjNfeHpUro6zFotEhDambpgoYon9iITkiZ5TwmD1kCtoxbYi4/FHgQLORpVTDcZuUjTr6IzGJh+/MkArHh7V/PNdd3riMQiTHGXEgkEsDrzKRt7YPo6PPnpDtr7glQ6zfzPoWNGejkCgUAgyCJCsBAIBALB/sXBVymPm96Cnu05L3/T8ePRSPDu+nZWN+0fXRa2giIA+ruHORIiQSQUw+9JPY60Pz6GYjUrCQ6hxtQFC9W/wj4M/wqVwWMhuxAJQfsa5fkgwSLc1IQcDiMZjegrKlJbcBaYeeKpSJKGhjWr6G5qTHx+eeuXzN7oZO7nyijP+EMOQ9IceG/z3L4wD76vxNP+4MQJGOMJNAKBQCA4MDnw/pIJBAKB4MCmqB7GHQ/IsPRvOS8/rjiPc2YppoZ/3E8SQxIdFsMw3dTqNeQ5FSPDdMZCPHGRJC9u/BlOp8NCNdwsGr5gMbFAMd7c0LNh1xc61kE0BCYn5NcmPh1UDTfr6pC0o+ei2F5Uwti58wBY8fZ/AWjfvpWOh19n5lYHkgwT5x/JERdeMpLLzBoPfbCVvkCEiaU2zp1dOdLLEQgEAkGWEYKFQCAQCPY/DrlaeVz+NIR8OS9/4/Hj0WokFm7oYEWjK+f1h4vaYTEc003IjI+FKljYS0oB0vKwSIyEpNBhMaVwCgBru9fu+sLgcZBB0aWhbQORpqMN1Xxz3Yfv8fELT/OPn9yMoSdMwBBl+hUXccb3b8NosY7wKjNPmzvA4x8rXVW3njwR7TDGggQCgUCwfyIEC4FAIBDsf9SfoNwND7hh9T9zXr6uyJrosvjTftBlkVeojoR0D8uPwl6kjBdkRLCoVrwGwk1NyHtIuEgGd1fqHRaqYNHc30xPoGfghb0Ybga3KRfGoyHS9KvUTJtJfnklIb+fz15+gVg0yo4yL/89uotjj//mSC8va/z5vU0EIzEOqsnn+MklI70cgUAgEOQAIVgIBAKBYP9Dox3wsljyKKRhCpkqNx1fj1YjsWhjJ8saenNefzio4xiRcIiAtz/p4wY6LFKPNlW7Ohx1Y5H0euRwmEhb27DPI8tyYiQklQ4Lu8FOrb0WgLVdg7oshkoIGYUdFpJGw5zTzgbAlGej5FvHsmh2F+Mrp6DXHpiJGVs7+/nnF00A/OjUSUiS6K4QCASCrwNCsBAIBALB/snsi0FvUQwTd36S8/I1hVbOi8/Q//Gd0d1loTMYMNvswPCMNzM6ElJUgr6qCkhtLCTgDRMKKJ0Z9kJTSmuZVjQNgDXdcZPNcEDxsIBdE0JkmeC2uIfF2HEp1co2M088lW/ccQ+X/fGvbC3zgAQzS2aO9LKyxu/e2kg0JnPC5BIOqi0Y6eUIBAKBIEcIwUIgEAgE+yfmfJgRb38fgYhTgBuPG49OI7F4cxdf7uwZ+oARRDXeHI6PRbodFrFoFG+v8n2xFRZhqKkBSMSFDgc1IcTqNKIzpGaCqQoWiQ6L9rUQi4ClEBxVif0inZ3EPB7QaDDU1aZUK9tIkkTN9FlY7A5Wdq4EYHbx7CGO2j9Z0ejijTVtSBLcevKkkV6OQCAQCHKIECwEAoFAsP8y73vK4/oF4G7OefkxhRa+MVe50P3jO5tzXn842OI+Fp6u4QgWSidDf2+AaCQ27Jpedy9yLIZGq8XidGKIj1eoCRzDQe3ycKQwDqIytXAqAGu61iheHq17M9xU1qevrkJjMKRcLxf0hfrY4lJiPg/EDgtZlvn1G0qyy3mzq5hYZhvhFQkEAoEglwjBQiAQCAT7L6VToeYIkKOw7KkRWcL1x9aj00h8tKWLL3eOXi8Le7GS0uHubE/6GIvdgE6vQZbB0zP8LgtVHLHmF6DRaDHGDSzVBI7hkPCvKEptHARgUsEkdJKO7kA3bd62fRhuKoKFcZSOgwxmZYfSXVFjr6HAdOCNSize3MWn27oxaDX84MTxI70cgUAgEOQYIVgIBAKBYP/moMuUx2VPQTSS8/LVBRbOm6N4Wdy/cPR2WThLywBwtydveClJErb4WIgnhbGQ/vj4iRqrmk6HhTteP50OC5PORH1+PRD3sWhZobywm+Gm6l9Rl3KtXLGicwUAM4sPvO6KWEzm128q3RX/c2gNVfmWEV6RQCAQCHKNECwEAoFAsH8z+UzFg8DTApvfHpElXHdMPRoJ3t/Yyeom94isYSjsJfEOi47kOywAHPGOBncKxpuq4aY6jmIcp3QsRNrbif7/9u48Pqry7P/4Z2ayTPaQhJAAgYR9X2QRZRUREVzAutUVaala0dalTze1ttafT23t8ih1qVjaWtcuKC4gKigIsoV9XxIIEAgh+57MzO+PkwxBskySmZyZ8H2/XnnNSeac+75G5DBz5b6uu8Tz3Uqg/gqL1icsoF5ZyKmtkLPH+OF5KyzqdggJnBUWIxM7Xv+KD3Zks+tEEZGhQSyY2sfscERExARKWIiISGALCoURtxrHmxebEkJqQgTXjTBWWTzvp6ssYlpREgK4V1i0ZqeQuoRFZG3CwhYdja2zcVyVkdGisQrbsKVpfUMThgKw6+QGo5QosgtEJZ9zTt0Ki7oSFn9V46xhe+52AEZ0HmFuMF5WVePkuU/2AfC9Sb2Ii/DvXiIiIuIbSliIiEjgG1VbFnJwBRRkmRLC/Zf1xmKBT3afYk92kSkxNCUm0SgJqSguoqq8zPPr2rBTiHtL09qEBZxdtVB5yPM+FjXVDkoLKo142piwcO8UUngYJ5zXcNNRUkJNTg4AIb39e4XF/vz9lNeUExUSRa9Y/06utNTbG49y5EwZCZGhfGeC/5fmiIiIbyhhISIigS++N6RNApfTtOabfRKjmDnE+E39CysPmhJDU0LDw7FHGjsstKQspK7JZatWWOSdu8ICzq5aqGpBH4u6ZEmw3YY9IrjFcdTXO7Y3dpudEmcVR4KDzu9fUdtwM6hzZ2xR/r0jxdacrYDRv8Jq6Thv6Uora/jTZ8bfoQcv70NEaJDJEYmIiFk6zr9uIiJyYatbZbHlH6Y03wTcdfYf7cjmYE7LejS0h5hW9LGo6xlRdKbtPSwAQtJqG28ebknC4uyWppZ6qyFaI8gaxIC4AQDsDA05v3+Fu+Gm/69Y2HRqE9Dx+lf89asMcksq6REXzi1jepgdjoiImEgJCxER6RgGXA3hCVCcDfuXmRLCwORorhjUBZcL/uyHqyzcfSxakLCIijdWWFSW1lBZVu3xdU6Hg9L8PGOMuIZWWHheElLXvyKmjQ036wzp1A+AnSGhkDzinOfqtlz19/4VDqeD9dnrAbg4+WKTo/Ge/NIqXv7CSBo9Mr0fIUF6qyoiciHTvwIiItIxBIXAyNuMY5OabwI8ULvK4r1tJzhyptS0OBoSU7e16WnPtzYNsQcRFmWUYbSkj0VpYT4upxOrzUZ4bOzZ8Wr7QlRlZeGqqvJoLG/tEFJnsC0SgJ3hkRDV5Zznzq6w8O/+FXvz9lJUVURUcJR755OOYOHKgxRX1jAoOZprhnU1OxwRETGZEhYiItJxXHSX8XjwUyg4akoIw7rHMrlfZxxOF39e6fkqgvbQmpIQaF1ZSHGuUQ4S0SkOq9Xm/nlQYiLWiAhwOKg6csSjsepKQtq6Q0idIbVNR/cFW6l2nrtqpGKvsdWpvX8/r8zlK+uy1wEwJmkMQdaO0ePheEE5f19n/D/xPzP6Y7W2rfxHREQCnxIWIiLSccT3hrTJgAu2vmFaGA9ebqyy+Hf6MY7le74jh6+5S0JOeb7CAuolLE57vsKipLbhZv1yEACLxeJeZVHpYeNNb5eE9Dh9mCiHk0pcHMw/W7pTk59PzYlsAEIHDPDKXL7y9YmvARjXdZzJkXjPH1bsp8rhZFyvOCb362x2OCIi4geUsBARkY5l5B3G45Z/gtNpSgijesZxae94apwudz2+P4hOrCsJOYXL5fL8ulbsFFJQmxSJ7px43nOhveoabza/AsXldFF0pqJ2LO8kLKzZWxlcZWyTuvPMTvfPK/ftAyA4JcWvdwgpryknPScdgEuSLzE5Gu/Yf6qY/6QfA+DHMwa0ubmqiIh0DEpYiIhIxzLwagiNgcKjkPmlaWE8MLUvAG9vyuJUkecrE3wpunMiWCzUVFZSXlTo+XWtKAkpOHkCgNik8/sQhLRga9PSwioc1U4sVgtRcaEez9+o8gI4c5AhlUb/jJ25ZxMWFbtry0EGDmz7PD605dQWqp3VJEUk0TO6p9nheMWzy/bhdMGMwUmM7NHJ7HBERMRPKGEhIiIdS3AYDL3BON7yumlhjOsVx5jUTlTVOP1mlUVQcDCRneKAVm5t2oKmm/m1CYtOyecnLELrSkI82Nq0KNcoqYmKC8Vq88LbluytAAwJjgVgR+4O91MVe2oTFoP8O2HxdXZtOUjyuA6xEmFTZh6f7jmF1QKPXtnf7HBERMSPKGEhIiIdz8jbjcfd70N5vikhWCwWFtSusnhjwxFySypNieObYurKQnI872PhLgk5U47L6VkpSUF2bcKigRUWdSUhVRkZuJop2yms7ZsR46VyEI5vBmB4wjAADuYfpLDSWG1SWdtw0+/7V9QmLDpCOYjL5eI3y/YCcOOoFPokRpockYiI+BMlLEREpOPpOhISB4OjEnb+27QwJvVNYHj3GCqqnby6OsO0OOprzU4hkZ3sWK0WnDUuSgubT7xUV1RQkp8HQGwDKyyCu3fHEhyMq6KC6toml41x7xDipYabHDd6PyR0H0daTBouXGw6uQlnRQWVh40/I/vAQd6ZywfyKvLYk2ckVsYmjzU5mrZbuS+HjZn5hAZZ+eEVfc0OR0RE/IwSFiIi0vFYLHBRXfNN88pCLBaLu5fFP9ZlUlBWZVosddwJi9OeJyysVguR8Z433qwrB7FHRhEWeX7zSktQECGpRu+FqmYab9btEOKthpt1CQu6XcTYJOMD/4aTG6jcvx8cDmxxcQQl+u8OFRuyNwDQr1M/EsISmjnbvzmcLp5dZjQ6nXtpKskxXvozFhGRDkMJCxER6ZiG3gTWYDixBU7ubP58H7l8YCIDk6MprXLw168yTYujztmSEM8TFgAxtWUhhR5sbVpwylg10VA5SJ2QXp5tbVqXIPFKSUhRNhSfAIsVkoczJmkMYCQsKvYYZQn2gQP9ui/Euux1gNG/ItC9t/U4e08WE20P4r4pvc0OR0RE/JASFiIi0jFFxMOAmcaxyass7r/M+DC2eG0mJZU1psUCENO5riTE8x4WxnXhABTklDV7bn5t/4qGykHqhNbtFOLpCgtvlIScqF1d0XkghES4ExYHCw5SuHML4N8NN10uF+tOGAmLS7oGdv+KyhoHz32yH4B7p/QmNjzE5IhERMQfKWEhIiId18jaspDtb0ONeeUYVw1JplfnCArLq3n96yOmxQEQXVsSUpx7GqfT4fF1nZKNhEV+dmmz59ZtadrWFRaVZdVUlFQDEOONhEVtw026XQRAnD2OPrF9ACjYYSQs/LnhZlZxFtml2QRZg7go8SKzw2mTf359lOMF5XSJDuXuS9PMDkdERPyUEhYiItJx9Z4KkUlQngcHV5gWhs1q4b7Jxgf0V1dnUFHteaLA2yLj4rDagnA6HJScOePxdZ2SIgDIP+nlFRaHDuFyNbzzSN4JIzkS2SmUkLAgj2NtVL3+FXXGJo3F4nRhO3wM8O+Gm3WrK0Z0HkF4cLjJ0bRecUU1L6w8CMAPLu9HWIjN5IhERMRfKWEhIiIdl9UGw24yjre9aWoos0d2o1tsGLkllby9Mcu0OKxWGzGJiUDLykLiko2EReHpchw1TW9F6tEKi7Q0sFhwFBbiyMtr8JwztQmLuK5e2OrS5TpbEtJtlPvHY5PG0jUPgqocWMLDCenZo+1z+Yh7O9MALwd5dXUGeaVVpCVEcOPo7maHIyIifkwJCxER6diGf9t43LcMyhr+YNwegm1W7q1tLPjyF4eoauZDvy9Fd2751qbhMSGE2G24nK4m+1hUlZdRWpAPQGxScqPnWe12gnukAFCxd2+D59StsIjvGuFxnI3KOwwVhRBkh8SzqyhGJ40mrfY/g61PGhabf/623+F0sP7keiCwG27mllTy6mqjDOjR6f0JtumtqIiINE7/SoiISMfWZRAkDQNnNez8t6mh3DiqO4lRoZworOC/W46ZFkdrtja1WCx0ql1lkZ/deMIi/6SxQ0hYVDT2iKZXRtgHGYmDit27G3w+70QJAHHdvJCwqOtfkTQMbMHuH8eExnBRYSdjvpSYts/jI7vP7Ka4qpio4CgGxftv2UpzXvj8IKVVDoZ1j2Hm0CSzwxERET+nhEULZGdn8+STTzJq1Cji4+MJDw+nd+/ezJ07ly+//NKrc23fvp3f/e53zJkzh759+xIREUFISAhdunThsssu4+mnnyY7O9urc4qIdFh1qyy2vWVqGPZgG/MnGr0bXlx1iBqHOassWru1qTthcbLxxpt15SBN9a+oEzZ4MAAVu85PWLhcLs4cr1th4YWSkAb6V9Tpn2vsULGvs3mNWZtTVw4yNnksQVYv9PMwwdEzZfxzvdF09sczBvj19rEiIuIflLDw0HvvvcfgwYP55S9/SXp6Onl5eZSXl3P48GH+9re/MXnyZO69914cjrY1UisoKKBfv34MHz6cH/3oRyxZsoSDBw9SVlZGdXU1OTk5rFq1iscee4w+ffqwcOFCL71CEZEObOgNYLHB8U2Qe8DUUG69uAex4cFkninjwx3mJJ7dKyxamrBIMho95jWxU0hdw82m+lfUaWqFRXlxNRWl1WA5O2+buHcIGXXOj10uF/FZhQB8Fe6/vwioS1gEcjnI71fso9rhYmLfBMb3STA7HBERCQCBmaJvZytXruSmm26iqsr4zcusWbO49tpriYiIID09nUWLFlFYWMjLL7+MxWLhxRdfbPVcFRUVHDhgvJm22WxMnDiRiRMn0qtXLyIiIjhy5AjvvvsuGzZsoKysjAULFlBeXs6jjz7qldcqItIhRSZCn2lwYLmxyuLyx00LJSI0iHnj0/j9iv38eeUhrhnWFau1fX/THFPbw6KoBU03AeKSmi8J8aThZp26hEX10aM4ioqwRUe7nztTWw4S0zmMoLbuIuGohpPbjeOu566wqDl1CmtRKQ4LbIw4ycnSkyRF+FepQnlNOVtyjG1XAzVhsftEEe9tM/7f+PEM/906VkRE/ItWWDSjsrKSefPmuZMVzz//PB988AHf+973uO2223juuefYsGEDSUnGm5uXXnqJzz//vE1zxsfH8+tf/5qsrCxWrlzJr371K+bOncuNN97Io48+yvr163nmmWfc5//85z/n4MGDbZpTRKTDG36L8bj9bXCa1/AS4K5LUokMDWLfqWI+3dOyVQ7eEF27wqIkP4/qqkqPr6srCSk4VYbT2fBWpHU9LDwpCbHFxhLcrRsAFbv3nPNcnjfLQXJ2Q00F2GMgrtc5T9XNm9vFTnWQhY0nN7Z9Pi9LP5VOtbOa5Ihkekb3NDucVvnt8r24XDBrWDJDuvlvrxAREfEvSlg047XXXiMzMxOAa665hgULFpx3Tr9+/c4pzXjsscdaPV98fDyZmZn8/Oc/Jzm58e7qP/nJT5g9ezYAVVVVvP76662eU0TkgtD/KgiNgcIsOPKVqaHEhAdzxyXGB8+FKw/icjX84d9XwqKiCQkLA6AoJ8fj66Li7diCrThqnBTlljd4TktWWADY3X0sdp3zc+823KztX9H1IrCe+9anYo9RjlLTx9hec8PJDW2fz8vql4MEYt+H9YfPsHLfaYKsFh6d3t/scEREJIAoYdGMt94626Dt4YcfbvS82bNnk5qaCsC6des4cuRIq+YLDg4mMtKz3ybdfPPN7uPt27e3aj4RkQtGcBgMnm0cm9x8E+A7E9KwB1vZdqyQNQdz23Vui8VCXFfjA/qZ40c9vs5qtRDbxegnkX/y/LKQyrIyygoLAOjkwQoLqJew+EYfizMnvNlws65/xfkNNytrt1SNHWo8548rLNaeWAsEZjmIy+Xi2eX7ALh5TAppCV5IQImIyAVDCYsmFBcXs2bNGgCioqKYOHFio+darVZmzJjh/v7jjz/2eXzR9Wp9y8sb/k2XiIjUU7dbyO4lUNV448j2kBAZyrfH9gCMrR7bW3yKscIj92jLEuxx7q1Nz//vV7e6IjwmlpAwzxpluhtv1lth4XK6yKtNWMR19cIH3BNG/4dvNtyEsyUhvUZPJcgSxPGS4xwvOd72Ob3kaNFR9ufvx2axMa5r4CUsPtuTw+Yj+diDrTx4eV+zwxERkQCjhEUTdu/ejbO2znnkyJHYbE03/RozZoz7eMeOHT6N7Ztz9OwZmDWtIiLtqsc4iO0JVSWwz/eJ5eZ8b1Ivgm0W1mfksTEzr13n7twjFYDcrMwWXVe3Y0dDCYv8bOODfqyH5SAA9sFGwqIqMxNHiVEGUpxXQXWlA2uQhZjEsBbFd56qUqOHBZzXcNNRWEj1cSPmmCEjGJxgrPbYkO0/ZSHLMpcBcHHyxcTZ40yOpmUcThfPLjdWsNw9Po0u0XaTIxIRkUCjhEUT9u3b5z5OS0tr9vz659S/1heqq6tZtGiR+/tZs2b5dD4RkQ7BYoGhNxrHO941NxYgOSaMG0YZpRntvcrCvcIiy/OSEIBOtTuF5DVQEpLfwv4VAEFxcQTV9myq3GOsdqhbXdGpSwQ2WxvfqmRvB5cTorpC9Lm9oSr2Gv9WB3frhi0mhrFJYwH/6mPxcYaRWJuROqOZM/3Pki3H2X+qhGh7EPdO6m12OCIiEoCUsGhCQUGB+zghofn9wuPj4xu81heeeeYZ9/anI0aM8ChhUVlZSVFR0TlfIiIXnGE3GY8HP4Wy9l3V0JB7J/fGaoEv9p9mx7HCdps3oTZhUZB9gpranbA84S4JOVl6XrPQguzahIWH/Svq1K2yKK8tC6nb0tQr5SBN9K+oa7gZOtDYZnNMkrFSckP2hnZvhNqQg/kHOVhwkCBrEFN7TDU7nBaprHHw+xX7Afj+ZX2ICQ82OSIREQlESlg0oaR2aSqA3d78MsawsLPLVouLi30SE8CHH37IL3/5S8Bo0vnKK69gtTb/R/nMM88QExPj/kpJSfFZjCIifqtzf0gaCs4a2PVfs6OhZ3wE1w43PuAvXNl+qywiYjthj4zC5XKSd+KYx9fFJIZhsVqornBQWnDulqh1KyxaUhIC9fpY1DberFthEe+NHUJO1O4Q0lDDzdoVHfaBAwEYmTiSsKAwcspz2HVm13nnt7e6cpAJXScQExpYW4G+sf4oxwvK6RIdyl2XpJodjoiIBKiAT1hMmTIFi8Xila/6O4L4q02bNvHtb3/b3VvjueeeO6d3RlN++tOfUlhY6P7KysryZagiIv5raO0qix3/MjeOWt+/rA8Ay3ad5MAp3yW867NYLO5VFrlZnjfetAVZia3tK5H3jT4W+SezgZavsAhzb21qJCzOuBtuenGHkK4NrbAw+ivYBxoJE3uQnUndJwGw4siKts/dBi6Xy52wuDLtSlNjaamSyhp3idMPLu9HWEjTPcBEREQaE/AJC1+qv71oRUVFs+fX36kjKirK6/Fs376dK6+80r164/HHH+eBBx7w+PrQ0FCio6PP+RIRuSAN+RZggaNroaBlPRx8oV+XKK4c3AWAP6861G7zJvSo2ykks0XX1fWxyM8+28eioqSEimKj1DA2KbnB6xpTt7Vp1eHD1BSXkn+ybkvTNq6wKMuD/EzjuOvIc55yVlZSecj4b22vLQkBmNZzGmAkLMwsC9mbt5cjRUcItYVyWcplpsXRGq+uPsyZ0ip6JURw0+juZocjIiIBLMjsANrqhhtuYMSIEV4Zq3///ud8Hxsb6z7Ozc1t9vozZ840eK037Nixg8svv5y8PKPe+qc//Sm/+tWvvDqHiMgFI6YbpE6AzNWw898w4SGzI2LBZX1ZvusU7287wUPT+tEj3rNtQduiNSssoN5OISfPrrCo29I0olMcIfaW7ewRlJBAUGIiNTk55GzcjbPGRVCojai4Nu4qcby2HCS+D4TFnvNU5d694HBgi40lKCnJ/fNJ3SYRagslqziLffn7GBA3ADN8nGk025zUfRIRwV4ojWknZ0oq+cuXhwF4ZHp/gtraNFVERC5oAZ+wWLBggc/Grp/AyMjIaPb8+ud8M/nRFnXJirqkyY9//GP+3//7f14bX0TkgjT0RiNhsf1dv0hYDO0ew6R+nfly/2le/OIQz1w/1Odzxrc2YVHbeLN+SUhrdgipzz54MCU5OeRsOwLEEd81AovV0qqx3I5vMh67jTrvqdINxk4gYaNGYbGcnSc8OJwJ3Sbw2dHPWHFkhSkJC5fLxfKM5UDg7Q6ycOUhSqscDO0Ww1VDkpq/QEREpAlKezdh0KBB7maWW7ZsweFwNHn+xo0b3cdDhgzxSgx1yYrTp08D8Oijj/K///u/XhlbROSCNuhasIVAzi44ZX6DRYAHphq9LP69+RgnC5svRWyrhO5GwqI49zSVZedvU9qYszuFnL0mP7t1DTfr1DXePJOZb8zhjR1CjtX+u9z9/F5PZV+vByDi4ovPe66uLOSTzE9MKQvZnrudE6UnCA8KZ2L3ie0+f2sdyy/j9a+N5Nf/zOiPta0JJxERueApYdGEqKgoxo8fDxi7fqxZs6bRc51OJ8uXL3d/f9VVV7V5/m8mKx5++GF++9vftnlcEREBwjpB3+nG8Y53zY2l1pjUOMamxVHlcPJK7bJ6X7JHRhIZZ2zJ3ZJVFrFdjJKQipJqyouNLVHPHDN6gbS04aY7lto+FvkFRlPp+LY23HS54FjtCovuo899qqqKss1GM87wcecnLCZ3n0ywNZjMokwOFbRfT5E6yzKMZptTUqYQFtSy8hoz/X7FfqocTsb3iWdi385mhyMiIh2AEhbNuOWWW9zHzz33XKPnLVmyxF0SMm7cOFJTU9s0765du85JVjz00ENNzi8iIq0w9Abjcce/oHb3JbMtqN0x5I0NR8gtqWzm7LZL6JEKwJkWJCyCQ21ExRv9Jc4cN7YAzz64D4DkPv1aFUddwqLYZTSEbvMKizOHoKIAguzQ5dxVj+Xbt+OqqMAWF0do377nXRoVEsWlXS8FYMXR9t0txOF0sDzT+AXIVWlt/+VHe9l9ooj/bjkOwP9caU7fDxER6XiUsGjGvHnz6NGjBwBLly5l4cKF551z4MAB7r//fvf3Tz31VKPjpaamurdRXbVqVYPn7N69m6lTp56TrPj973/fhlchIiIN6jcDQqKgMAuyvjY7GgAm9k1gWPcYKqqdvLam+f5JbdXaxpuJPY3EwsnDRZTknaE49zQWi5Uuvc9PAHgiKLEzdE6iLMz4zXybExZ15SBdR4It+JynStfXloOMu/ic/hX11d8tpD2l56Rzuvz0OUmTQPCbZXtxueDqYckMT4k1OxwREekgAr7ppq/Z7XYWLVrEzJkzqa6uZsGCBSxbtoxrr72WiIgI0tPTefXVVyksLARg/vz5TJs2rdXzHTt2jKlTp5KTkwPAyJEjmTRpEkuWLGnyuvDwcKZPn97qeUVELkjBYTDwGtj2hrFbSE/zPyBaLBbuv6wP9/xjM/9Yd4R7JvcmJiy4+QtbqbUJi+TeMRxKzyH7UCExCSdqx+rR4h1C6lgsFhyDLgaLlZAgB+HRIa0ax83dv2L0eU/V9a8IH3t+OUidy1IuI8gSxIH8A2QWZpIak9q2eDxUVw5yeY/LCbG18b9BO/nqYC5f7D9NsM3Cj670XtNxERERJSw8MG3aNN5++23mzZtHQUEBH3zwAR988MF5582fP58XX3yxTXMdPHiQU6dOub/fsmULc+bMafa6nj17kpmZ2aa5RUQuSEO+ZSQsdr8HM34DNvP/abxiYBf6dYlk/6kS/r42kwcub92qBU+0OmHRJwaAUxmFRHcy+jwk921bKUBFr5GQAVHVZxpd+eCxRhpuOsvLKd+6FTBWWDQmJjSGi5Mv5qsTX/Hp0U/57tDvti0eD9Q4a9wrOq5KDYxyEKfTxTMf7wHgtot70jM+cLZgFRER/6eSEA/NmTOH3bt38/jjjzNixAhiY2Ox2+2kpaVxxx13sGrVKl555RVsNpvZoYqISEv0mgxhcVB62tjm1A9YrcYqC4DXvsqgtLLGZ3PFdesOFgvlRYWUFuR7fF1890iCQqxUltWQtXs3AMl92/bb9bK4NADCcg7gqqpq/UBVpWd3fvlGwqJ8yxZc1dUEJSUR3LNnk8PU3y2kPWzI3kB+ZT6dQjsxNnlsu8zZVku3n2Dn8SIiQ4Pcu9yIiIh4ixIWLZCcnMyvfvUrtmzZQn5+PuXl5Rw+fJi///3vTJ482aMxMjMzcblcuFwupkyZct7zU6ZMcT/fki+trhARaSVbsLHFKRhlIX5i1tBkesaHk19WzZsbjvpsnuBQO52SkoGWrbKw2ax0SYvG5XJy+shBoO0rLPJLjdKXiMKjlNWugmiVE1vB5YDobhB97q4lpfW2M21uFcfUHlOxWqzsydvDseJjrY/HQ8syjXKQK3peQZDV/JU+zamscfC7T4xmq/dM6kV8ZKjJEYmISEejhIWIiMiQbxmPe5ZCTRt+s+9FQTYr35/SG4BXvjxMRbXDZ3PFdzdWGrRkpxCA5N6xuBy5OGuqCQ2PIK5rt1bH4Kh2cvKQ0Q8qtuAgpWvXtnqspvpXlK43mquGjxvX7DBx9jjGdDFWaHxyxLerLHLLc/k442MgcHYH+efXR8nKKycxKpTvTEwzOxwREemAlLAQERHpOR4iuxjbYB5eaXY0bnNGdqdrjJ2c4kr+tdl3v+FP6NG6PhZJvWJwOrKN4z79sFhb/7biVGYhNdVO7CFOwstOUvqVNxIW55aDOEpKqNhplIpEXOxZycWMtBkAvLX3Laqd1a2PqRl/3flXKhwVDEsYxqguo3w2j7cUVVTz/OcHAHjoin6Eh/j/ihAREQk8SliIiIhYbTBotnG88z+mhlJfSJCV703qBcBLXxyi2uH0yTzuxptHW5qwiMZZYyQsEnq0rTFo1l6jf0a3/p2wABU7d+IoKGj5QC7X2YRFt3NXWJRt2gQOB8E9exDctWsDF5/v6l5XE2+PJ7s0mw8Ond9w2xtyy3N5Z987ANw34r62NxxtBy+tOkR+WTW9O0dw46juZocjIiIdlBIWIiIicLYsZO+HUF1ubiz13DK2BwmRIRzLL+e9rSd8Mkf9nUIcNZ43+AwND8bCSQBCwjxLADTm+D4jYdFjeDKhffuAy+XuN9Eihceg5BRYgyB5+DlPlbn7VzRfDlLHHmTnrsF3AbBo5yIcTu+X5tRfXTG+63ivj+9tJwsreO2rDAB+PGMAQTa9nRQREd/QvzAiIiJglA/EpEBVMRxYYXY0bvZgG9+ZYKyy+POqgzicLq/P0alrN8KioqmurODE/j0eX1deXISjKg+AqsqEVs9fXeng1OEiwFhhEXHppQCUfvVVywerW13RZQiEhJ/zVOl6I2ER7mE5SJ2b+t9ETGgMR4qOeL2XRSCurvjDiv1UVDsZ3bMTVwzqYnY4IiLSgSlhISIiAmC1wuDZxvEu/ykLAbh9XA+i7UEcPl3Ksp0nvT6+1WojdYTRN+Fw+kaPrzt5cD8AFmsnco+1fuvV7IMFOJ0uouLtxHQOO5uwWLsWl6uFCZpjm4zHb/SvqMnPp3KPkYyJuPjiFg0ZERzBbQNvA+AvO/6C0+W90pzFOxcH1OqKA6eKeXdzFgA/nTkgIBIsIiISuJSwEBERqVNXFrJvGVSWmBtLPVH2YOaON3ZheGHlwZZ/iPdAr5FGv4eMLZs8vubEAWNLS0tQMqePFlNT1bpyiWO1/Su69+8EQPiYMRAcTPXx41QfbeGWro003CzbYPw8tG8fghJavhrk1gG3EhEcwYH8A3yR9UWLr29Ibnkub+97Gwic1RW/WbYXpwuuHNyFUT3jzA5HREQ6OCUsRERE6iSPgLheUFMO+5eZHc057r40lfAQG3uyi1i5L8fr46cOH4XFYuXMsaMUnfZs/OwDewGwR3bH6XCRc6S4VXMf23e24SaANTyc8JEjAShpSVlITSVkbzOOv7GlaZm7HMTz/hX1xYTGcEv/WwB4ZfsrXkkaBdrqivWHz/DpnhxsVgv/M2OA2eGIiMgFQAkLERGROhYLDL7eOPaj3UIAOkWEcMc4oznmC597f5WFPTKSrv2ND6GelIW4nE53SUiX3v0ByD5U0OJ5K0qrOZ1lJDrqVlgA55SFeOzkTnBUQlickXiqi9XlomTNGqDl/Svqu2PQHdhtdnae2cm67HWtHgfOXV1x7/B7/X51hdPp4v99ZJTU3DImhd6dI02OSERELgRKWIiIiNRXVxZycAWUF5gayjd9Z2IaIUFW0o8WsO7wGa+PnzbSKKPI2Np8WUjeieNUlpUSFBJK6rB+AJw8VNjiOU/sLwAXdEoKJyI21P3ziPFGwqLs6/W4PN25pH45SL0EQNmGjVQfPYo1PJzI2kRIa8SHxfOtfsb/H69sf6XV48DZ1RVDE4YyoduENo3VHpZuP8G2Y4VEhNj4wbS2bWErIiLiKSUsRERE6usyCDoPAEcV7PvY7GjOkRhl55YxKQAsXHnQ6+P3ushIWBzduZ3qqsomz60rB0nq3ZeufY1eBtmHC1u88qOuHKT+6goA+6BB2GJicJaUUL5jh2eDHW+44WbBO8YuHNHXXIM1IqJF8X3T3MFzCbIGsfnUZtJPpbdqjJOlJ8/2rhju/70rKqod/OZj48/7+5f1ITHKbnJEIiJyoVDCQkRE5JsGzzEed/3X3DgacM/k3gRZLXx18AzpR/O9OnZCSk8i4xOoqaoka9f2Js/Nrm24mdy3P51TorAFW6ksraHgVFmL5nT3rxhwbsLCYrMRfsklAJSu8bCPhXuFxdn+FTX5+RR/YmxFGnvTjS2KrSFJEUlc1/s6AJ5c9yR5FXktuj6vIo97V9zr7l0RCKsrFq3J4ERhBV1j7HxnQprZ4YiIyAVECQsREZFvqktYHPocyr2bFGirbrFhzBnZDYCFn3t3lYXFYnHvFnI4vfGyEJfLRdZuY9VDcp/+2IKsdEmNBuDEgQKP5ystrCQ/uxQs0K1vp/Oej5w8GYDC99/H5WxmK9GS05CfiTHYRe4fFy55D1d1NfbBgwkbPNjj2Jpy3/D76BLehYzCDO5ZcQ9FVUUeXVdYWcg9K+7hUOEhEsMT+c2k3/j96oqc4gr+XLua58dXDcAebDM5IhERuZAoYSEiIvJNnftD4mBwVsPeD82O5jz3TemN1QKf7c1h9wnPPix7qq4sJGPLpkbLO47u2EZ+9nGCQkPpMXQ4ACkDjbKQfetPejzX8drVFQndI7FHBp/3fPSMK7FGR1OdlUVpbdPMxgerTbB0HgD2GMBIrNSVg8TedJPHcTWnS0QX/jL9L8TZ49ibt5fvf/p9yqqbXllSUlXCfZ/ex968vcTb41k0fRHdo7p7LSZf+cOKA5RWORieEss1w7qaHY6IiFxglLAQERFpiB+XhfTqHMnMockALFzl3VUWPQYPxxYcTNHpU+QdzzrveZfLxeo3/wbA0MumExpu9IQYeGkyFquF7IOFnDle4tFcjfWvqGMNCyN2jvHnkLd4cdODZRnbltJ9lPtH5Zs2UZWRgSU8nOhZszyKyVNpMWm8csUrRIdEs+30Nh74/AEqaioaPLe8ppz7P7ufHbk7iAmN4S/T/0JqTKpX4/GFvSeLeHvjUQAenzUQq9W/V4OIiEjHo4SFiIhIQ+oSFodXQVnL+hS0h/sv6wPARzuyOXTaswSBJ4LtdlIGDQUa3t50/9dfcerwAYLtYYy7/mb3zyNiQ+k1PAGAnV8eb3Yel9NF1h7jv2v3AXGNnhd35x1gs1G6dh3lu3Y1PuDR2oRFyjj3j/LfeReAmFkzsUW2rdlmQ/rH9eelaS8RHhTOhpMbeHjVw1Q7qs85p9JRyQ8+/wHpOelEBkfy8hUv07dTYOyy8fSHe3C6YObQJEanNv5nJCIi4itKWIiIiDQkoQ8kDQVnDexZanY05xmYHM20gV1wueDFVYe8Onbd9qb71q05pyzEUVPDmreM1RWjr55DeEzsOdcNnmT01ti3/iRVFU1vRZq1N4+SvEqC7Ta69o1t9Lzgbt2InjkTgLxFrzV8Uk0VnKjdsaOHkbBwFBRQvHw54N1ykG8a2nkoL1z+AqG2UFYfX81Fr1/EhLcmMPntyVz+zuVc9vZlrMteR1hQGC9Oe5HB8d7po+Frq/blsPpALiE2Kz+eMcDscERE5AKlhIWIiEhj/LgsBGDBVGOVxZItxzmW37LdOZrS/5IJ2IKDOXX4AJ+8/H/UVBurBnZ8/gkFJ7MJj4ll9NWzz7uue/9OxCSGUV3h4MDGU42O73K6+HrJYQAGXJJMcGjTjRzjvzMPgKJly6g6duz8E7K3QU0FhMdDvPHfpPD993FVVRE6cCD2IUM8edmtNiZpDH+87I9EBUcZc1cWkleRR055DsXVxYQHhfP81OcZkTjCp3F4S43DydMf7gFg7vhUesZ7f3WKiIiIJ5SwEBERaUxdwiLjSyjNNTeWBoxIiWVCnwRqnC5e/uKw18aNiO3E1Ln3YLFY2blyBe8+9XMKTmaz7l9vADDu+psJCQs/7zqL1cKQ2lUWO7883mjTzv0bTnL6aDHBdhujr0ptNh77gAFETJgATid5f118/glH1xmPKePAYsHlcpFf22yz0003tstOHBO6TWDlzSv56PqPeG/2e/zn2v/w7jXv8tast1hx4wouTr7Y5zF4y1sbsziQU0Kn8GB36ZGIiIgZlLAQERFpTFwvSB4BLgfsed/saBpU94Hy7U1Z5BQ13PSxNYZNm8H1P/kFoeERnNi3m8WP3EdZYQGdkrsybNqMRq8bcEkytiAruVklnMo8fweTmioHX79nJFdGzehJeHSIR/HEf/c7ABT8+9/U5H9jq9m6hps9jKRA+ZYtVB08hCUsjOirr/ZofG8ItYWSEpVCr5he9O3UlwFxAxicMJjokOh2i6Gtiiuq+cOK/QD8cFo/YsLO371FRESkvShhISIi0hQ/LwsZ1yuOUT07UVXj5NU1GV4dO3XEKG59+jk6JXfFUWP0pJh461xsQY1/iLVHBNNndCIAu744v/nm1s+yKMmvJDIulOFTUzyOJfzii7EPHoyrooL8f75x9gmXC45+bRynjMNZUUHOc78HIHrmVdiiojyeQ+DPqw5xprSKXp0juPXiHmaHIyIiFzglLERERJpSl7DIXAMlOebG0gCLxcKC2lUWr399hPzSKq+OH9e1O7f++vcMnTqd0ddcT58xlzR7TV1ZyIHNOZQWVrp/XlZURfqyIwCMu643QSFN966oz2KxuFdZ5L/+OjWnTxtP5B2GslywheKI7kPWd+dTvnkzlrAwEu65x+PxBY6cKWXRaiPp9bOrBhJs09tEERExl/4lEhERaUqnntBtFLicsPs9s6Np0JT+nRncNZqyKgd//cq7qywA7JGRTL/nQSbfPs+jfhBd0qLp3CMKR7WT1x9fx4q/7iJjey5fLzlEdaWDxJ5R9BvTpcVxRF1xBcE9euAoKODQrKsp+Ne/cB0x+lfUdBrO0Xnfo2zTJqyRkfT4yyuE9NAKgZZ46oM9VDmcTOrXmcsHJpodjoiIiBIWIiIizXKXhSwxNYzGWCwWdy+LxWszKaqoNj2eqXcOICreTk2Vk/3rT/HRn7ezZ202AJd+qw8Wa8sbYVqCgkhZ+AKhgwbiLCoi+7HHOfrYQkpPhXDk3UIqdu/GFhdHj78tJnz0aG+/rA5t1b4cPt1ziiCrhSeuHtQujUpFRESao4SFiIhIcwbNNh6PfAVF2aaG0pgZg5PokxhJUUWNe1m/mRK6R3HHU5dw/aMXMWxqdyJijOaaQyZ3o1u/Tq0eN7RvX9LeeYfE//kfLHY7ZYcLOLoygapTxQQlJ9Pz9dcJGzzYWy/jglBV4+RXH+wG4O7xqfRJjDQ5IhEREYMSFiIiIs2JTYHuYwGX3+4WYrVaeGhaPwAWrcnwei+L1rBYLST3iWXiTf2465nx3PXMeCZ/u3/bxw0KIn7e3fR69x9EJBk7o4SkpZL6z9cJ7ZXW5vEvNH9bm8nh06UkRIby4OV9zQ5HRETETQkLERERT/j5biEAVw1JYlByNCWVNbz85WGzwzmHxWohslOoV8cMcWaRMjmPPnPD6fXBBwR37erV8S8EOcUV/OmzAwD8z4z+RNm1jamIiPgPJSxEREQ8MXi28Xh0HRSev12nP7BaLTwy3VhlsXhtBjnFFSZH5GNHv8ZigeBBl2Kxeb7jiJz17LJ9lFTWMLx7DDdc1N3scERERM6hhIWIiIgnortCj9otPf10txCAqQMSGdkjlopqJ39eecjscHzr6NfGY8o4c+MIUFuO5vOvzccAePLawVhb0QhVRETEl5SwEBER8VQAlIVYLBYenW70iXhj/VGOF5SbHJGP1FTCiS3GcQ8lLFrK6XTx5Pu7ALhhVHdG9mh9I1QRERFfUcJCRETEU4OuAyxwbAMUZJkdTaPG90ngkl7xVDmcvPD5AbPD8Y0TW8FRCeEJENfL7GgCzr/Sj7HtWCGRoUH8z4y2N0IVERHxBSUsREREPBWVBD3HG8e7l5gaSnMevdLoZfHOpmNk5paaHI0PZNWWg/QYBxaVMrREUUU1zy7bC8APLu9LYpTd5IhEREQapoSFiIhIS9Q13/TjshCAUT3juKx/ZxxOl3sXiA7l6HrjUeUgLfbHFQfILamiV+cI7ro01exwREREGqWEhYiISEsMug4sVji+GfIzzY6mSY/U9rJYsvU4+08VmxyNF7lcZ1dYqOFmi+w8XsjitRkA/OKawYQE6a2giIj4L/0rJSIi0hKRiZA6wTjetcTUUJozpFsMVw1JwuWCP6zYb3Y43nPmIJSdgSA7JA83O5qA4XC6+PmSnThdMGtYMpP7dTY7JBERkSYpYSEiItJSAbBbSJ2HruiHxQIf7zzJjmOFZofjHXXbmXa9CIJCzI0lgLy54SjbsgqIDA3iiasHmR2OiIhIs5SwEBERaamB14LFBtlb4cwhs6NpUr8uUcwe0Q2AZ5fvNTkaLzm6znhU/wqPnS6u5De1jTYfnd6PLtFqtCkiIv5PCQsREZGWikiAtEnGsZ/vFgLw8BX9CLZZWH0gl9UHTpsdTttlrjEeU8ebG0cAefrD3RRX1DC0Wwx3XJJqdjgiIiIeUcJCRESkNQKoLCQlLpzbx/UE4H8/3ovT6TI5ojYoOAoFR4wVLmq46ZGvDuayZOsJLBZ4es4QbFZtAysiIoFBCQsREZHWGHgNWIPg5A7IPWh2NM16YGpfokKD2HWiiPe3nTA7nNbL/Mp47HYRhEaaG0sAqKh28NiSnQDcOa4nw7rHmhuQiIhICyhhISIi0hrhcdBrinEcAKss4iJCuHdKbwB+u3wfFdUOkyNqpbpykJ4qB/HEy18cJiO3lM5RoTxyZX+zwxEREWkRJSxERERaK4DKQgDmjU8jKdrO8YJyXv/6iNnhtM6Ruv4VE82NIwBk5paycJWx+ueJqwcRbQ82OSIREZGWUcJCRESktQbMAmsw5OyC0/vMjqZZYSE2HrqiLwDPf36QwrJqkyNqoYIsyM80+lf0uNjsaPyay+Xi8fd2UlXjZGLfBK4elmx2SCIiIi2mhIWIiEhrhXWC3lON4wBZZXHDqBT6dYmksLyaF1YeMDucljlS27+i6wgIjTI1FH/3/rYTrD6QS0iQlaeuG4LFokabIiISeJSwEBERaYsAKwuxWS38bOZAABavzSQjt9TkiFrAvZ3pBHPj8HO5JZU8+f4uAB64rA+pCREmRyQiItI6SliIiIi0xYCZYAuB03vh1G6zo/HIlP6JTOnfmWqHi2c+2mN2OJ5zN9xUwqIpv3hvF/ll1QxKjnY3WhUREQlESliIiIi0hT0G+kwzjgNklQXAY7MGYrNa+GT3KdYezDU7nOYVHof8DLBYocc4s6PxWx/vyObDHdnYrBaevWEYwTa91RMRkcClf8VERETaqn5ZiMtlbiwe6pMYxe0X9wDgVx/sxuH087jr+lckjwB7tKmh+Kv80ioef88oBblvcm+GdIsxOSIREZG2UcJCRESkrfrNAFsonDkAp3aaHY3HfjitH9H2IPaeLOadTVlmh9O0zNXGY+p4c+PwY099sJvckkr6JEbywOV9zA5HRESkzZSwEBERaSt7NPS9wjgOoLKQThEh/GBaPwB+t3yff29z6m64OdHcOPzU53tP8Z8tx7Fa4Lc3DCM0yGZ2SCIiIm2mhIWIiIg3BGBZCMCdl/SkT2IkZ0qr+P2KfWaH07CiE5B3WP0rGlFUUc3P/mOs7PnOhDRG9uhkckQiIiLeoYSFiIiIN/SbAUFhxgfr7G1mR+OxYJuVX147GIB/fH2E3SeKTI6oAZm1/SuShhlNTuUcz3y0h5NFFaTGh/PwFf3NDkdERMRrlLAQERHxhtBI6DfdOA6gshCA8X0SmDU0GacLfvH+Tlz+tkLE3b9C25l+0xf7T/PmBqP/yG++NYywEJWCiIhIx6GEhYiIiLcEaFkIwM9nDSQs2MbGzHze23rC7HDOpf4VDcorreLRd43VPHdd0pOLe8WbHJGIiIh3KWEhIiLiLX2nQ3A4FByBE+lmR9MiXWPDWDDV2Fni6Y/2UFThJw04i7Ih7xBgUf+KelwuFz/593ZOFxu7gvx05kCzQxIREfE6JSxERES8JSTC6GUBAVcWAvDdiWmkJURwuriS3y7zkwacGV8Yj8nDISzW1FD8yTubsvhk9ymCbRb+ePMI7MEqBRERkY5HCQsRERFvcpeFLAm4spDQIBtPzx4CwOvrj5B+NN/kiIBDnxuPvaeaG4cfycgt5ZdLdwPwyPT+DOmmRqQiItIxKWEhIiLiTX2vgJBIKMyCY5vMjqbFLu2TwLcu6o7LBT/7zw6qHU7zgnG54PAq47j3ZebF4UeqHU5++PZWyqocjOsVx/yJvcwOSURExGeUsBAREfGm4DDof5VxHIBlIWA04OwUHszek8UsWpNhXiA5u6HklNEXJOVi8+LwI89/fpBtWQVE2YN47qYR2KwWs0MSERHxGSUsREREvK2uLGT3EnCauEKhleIiQvj5rEEA/PHT/WTllZkTSF05SM/xEBRqTgx+ZPORfF74/AAAT88ZSrfYMJMjEhER8S0lLERERLyt9+UQGg1Fx+HYBrOjaZVvXdSNS3rFU1Ht5Gf/3YHLjH4ch1YajyoHoaSyhofe3orTBbNHdOXa4V3NDklERMTnlLAQERHxtmA79J9pHAdoWYjFYuHpOUMICbKy+kAu72zKat8AqivgyFrjuNeFnbBwuVw8vmQnR/PK6BYbxq9qG6OKiIh0dEpYtEB2djZPPvkko0aNIj4+nvDwcHr37s3cuXP58ssvvTbPmTNn+O9//8vPfvYzrrzySgYNGkRiYiLBwcFER0czYMAAbrvtNpYsWYIzAJcai4hcEOrvFhKg9+penSN5dHo/AJ76YA/HC8rbb/Ksr6GmHCKTIHFg+83rh/65/ij/3XIcm9XCH24eQbQ92OyQRERE2oXFZcoaz8Dz3nvvcffdd5Of3/gWb/fccw8LFy7EZmvbXui/+93v+NGPfuTRuRdddBFvv/02ffr0afE8RUVFxMTEUFhYSHR0dIuvFxGRJtRUwm/7QmUhzP0IUsebHVGrOJwubnxpLelHC5jYN4G/zxuLxdIOjR5X/AK++iMM/zbMecn38/mp7ccKuOHFdVQ5nPzkqgHcO7m32SGJiIi0SUs+hwa1U0wBbeXKldx0001UVVUBMGvWLK699loiIiJIT09n0aJFFBYW8vLLL2OxWHjxxRfbPKfNZmP48OGMHj2afv36kZycTEhICPn5+WzevJm3336bgoIC0tPTmThxItu2bSMxMbHN84qIiJcEhcLAq2HrP42ykABNWNisFn5343Cu+tNqVh/I5c0NWdx6cQ/fT3y4rn/FVN/P5afyS6u47/V0qhxOrhjUhXsmaQtTERG5sGiFRTMqKysZMGAAmZmZADz//PMsWLDgnHP279/P5MmTOXnyJACfffYZU6e2/g1WVlYWUVFRxMbGNnrOmTNnmDlzJhs2GM3cvv/977Nw4cIWzaMVFiIiPnZgBfzzBohIhEf2grVtK/DM9Orqw/z6wz1EhNhY9sNJpMSF+26y0lz4be1KgkcPQOSFl5B3Ol3M+9tGVu07Tc/4cN5fMIGYMJWCiIhI4GvJ51D1sGjGa6+95k5WXHPNNeclKwD69et3TrLgsccea9OcKSkpTSYrAOLj489ZybF06dI2zSkiIj6QNhnssVCaA0e+MjuaNrl7fBpjUjtRWuXgkXe34XD68Pcdh1cZj12GXJDJCoCFKw+yat9pQoOs/Pm2i5SsEBGRC5ISFs1466233McPP/xwo+fNnj2b1NRUANatW8eRI0d8HRqDBw92H9et7hARET8SFAIDrzGOA3S3kDo2q4Xf3jCc8BAbGzLy+PPKg76b7PCFvZ3pmgO5/P7T/QA8NXsIg7vGmByRiIiIOZSwaEJxcTFr1qwBICoqiokTJzZ6rtVqZcaMGe7vP/74Y5/Hd/Dg2TeLSUlJPp9PRERaoW63kN3vg6PG3FjaKDUhgl9dZ2yp+cfPDrD5SOONqFvN5YJDtQmLC3A70+zCch58awsuF9w8OoWbRqeYHZKIiIhplLBowu7du93bho4cObLZ3T/GjBnjPt6xY4dPYyspKeGBBx5wf3/DDTf4dD4REWmltEkQFgdluZC52uxo2uxbF3XjuhFdcThd/OCtLRRVVHt3gtwDUHQcbKHQ81Lvju3nyqpqmP/3TeSVVjEoOZpfXje4+YtEREQ6MO0S0oR9+/a5j9PS0po9v/459a9ti5ycHNauXQuA0+mksLCQ7du389Zbb7nLQEaNGsWTTz7plflERMTLbMEw6FrYvNgoCwnwMgeLxcKvZw8h/Wg+WXnl/Ow/O3j+2yO9t9VpXTlIz0sgOMw7YwYAp9PFD9/ays7jRcRFhPDS7aOwBwduk1YRERFvUMKiCQUFBe7jhISEZs+Pj49v8Nq2SE9PZ86cOQ0+17lzZ+6++25++ctfYrfbmx2rsrKSyspK9/dFRUVeiVFERJoxeI6RsNizFGY9ZyQxAliUPZg/3TKSG19axwfbs5nQJ4Fbxnppq9NDnxuPF1g5yG+W7eWT3acICbLylztH0SPeh7uwiIiIBAiVhDShpKTEfexJQiAs7OxvgoqLi30SU32TJk1i0qRJHsUG8MwzzxATE+P+SklRXayISLvoOQHCE6A8DzK+MDsar7ioRycevqIfAE+8v4vtxwraPmh1BWR8aRz3bv324IHmzQ1HefnLwwD89oZhjOoZZ3JEIiIi/iHgExZTpkzBYrF45av+jiD+YsaMGbhcLlwuFzU1NWRnZ7NkyRIuv/xy/v3vf3P11Vdz6623UlZW1uxYP/3pTyksLHR/ZWVltcMrEBERbEFGWQgE/G4h9d03uTfTBiZSVePkvtfTySutatuAGV9CdRlEd4ekod4J0s+tOZDL40t2AvDQtH5cN6KbyRGJiIj4j4BPWPhSZGSk+7iioqLZ88vLy93HUVFRXo/HZrORlJTEddddx6effspPf/pTAN58802++93vNnt9aGgo0dHR53yJiEg7GXy98bjnA6hp4wd7P2G1Wvj9zSNIS4jgeEE5D765BYfT1foB99fusNXvSvBWTww/djCnmPv+uZkap4vZI7ry4OV9zA5JRETErwR8D4sbbriBESNGeGWs/v37n/N9bGys+zg3N7fZ68+cOdPgtb7y1FNP8a9//YsDBw7w5ptv8sQTTzBgwACfzysiIq3Q81KITIKSk3BgOQy8xuyIvCLaHsxLt49izp+/Ys3BXH73yT5+PKMV/xa5XLB/uXHc/yrvBumHThZWcPfijRRX1DC6Zyf+91vDvNe4VEREpIMI+ITFggULfDZ2/QRGRkZGs+fXP+ebyQ9fsNlsTJ8+nQMHDgCwatUqJSxERPyV1QbDboK1/wfb3uowCQuA/klRPHvDMBa8sYUXVx1iQFJUy0sbTm43tjMNjoDUib4J1E+cKanktle/JiuvnJ7x4bx8h3YEERERaYhKQpowaNAgrFbjP9GWLVtwOBxNnr9x40b38ZAhQ3waW536pSf5+fntMqeIiLTS8G8bj/uXQ+mZps8NMFcP68o9k3oB8KN3t/P14Ra+vn3LjMfel0GwZ82kA1FhWTW3L9rAodOlJMfYef07FxMfGWp2WCIiIn5JCYsmREVFMX78eMDY9WPNmjWNnut0Olm+fLn7+6uuap/lrHWrK8DY5lRERPxYl0GQPByc1bDz32ZH43U/njGAq4YkUeVw8r2/b+JgTgt2zHL3r5jhm+D8QEllDXf9dQN7sotIiAzln9+9mJQ4bV8qIiLSGCUsmnHLLbe4j5977rlGz1uyZIm7JGTcuHGkpqb6OjSOHj3Kxx9/7P6+LrkiIiJ+bPitxuO2N8yNwwesVgt/uHkEo3p2oqiihrte20hOcfNNqynKhhNbAIvRcLMDKq9y8J3FG9maVUBseDCvf3csvTpHNn+hiIjIBUwJi2bMmzePHj16ALB06VIWLlx43jkHDhzg/vvvd3//1FNPNTpeamqqexvVVatWnff8yZMn+eUvf0leXl6Tce3fv5+ZM2e6tzO97LLLGDhwoCcvSUREzDT0BrAGGR/Qc/aaHY3X2YNt/OXO0e6dQ+Yt3khpZU3TF+2vLQfpNgoiE30fZDurrHFw7+ubWZ+RR2RoEH+fN5YBSdqpS0REpDkB33TT1+x2O4sWLWLmzJlUV1ezYMECli1bxrXXXktERATp6em8+uqrFBYWAjB//nymTZvW6vkqKip48skn+fWvf82UKVMYO3YsvXv3Jjo6mqqqKo4dO8bq1atZvnw51dXVAHTr1o1XX33VK69XRER8LCIB+k6HfR/Btjfhil+aHZHXxUWEsPjuMVz/57XsPF7Ed/+2idfmjiEspJHGknUJi/4drxykotrBA29u4Yv9pwkLtvHXu8cwrHus2WGJiIgEBIvL5WrDhukXjv/+97/MmzePgoKCRs+ZP38+L774IjZb452+U1NTOXLkCAArV65kypQp5zyfmZlJWlqax3FNnz6dV155hZ49e3p8TZ2ioiJiYmIoLCwkOlq/6RERaTe734d37oCoZHhol7GDSAe0NauA219dT0llDZf2jmfRXQ0kLarK4Nk0qKmAe7+CpPZpWt0eiiqqmf+3TazPyCPEZuW1uWOY0DfB7LBERERM1ZLPoSoJ8dCcOXPYvXs3jz/+OCNGjCA2Nha73U5aWhp33HEHq1at4pVXXmkyWeGJ1NRUtm3bxnPPPcdNN93EkCFDiI2NxWazYbfb6dKlCxMmTODhhx9m/fr1LF++vFXJChERMVG/K8EeC8XZkPGF2dH4zIiUWP42bwwRITbWHjrD/L9voqL6GztuZXxhJCtiUqDLYHMC9YGcogpufvlrdxnI4ruVrBAREWkprbC4gGmFhYiIiT58BDa+CkNvgm/9xexofGpTZh53vraBsioHE/sm8Jc7R2MPrk3wv/8gpP8NxsyHWb8zN1AvOXy6hDtf28Cx/HISIkNZfPcYhnSLMTssERERv6AVFiIiIv5u+LeNxz1LoaLI3Fh8bHRqHIvvHkt4iI3VB3KZt3gjRRXV4HTC/totwTtI/4qtWQXc8NI6juWXkxofzn/uu1TJChERkVZSwkJERMQM3UZBfF+oKYc975sdjc+NTYvjr3PPlofc9NI6cg+sh5KTEBIJqRPNDrHNlu08ya1/+Zq80iqGdovhX/ddSo/4cLPDEhERCVhKWIiIiJjBYoERtasstvzT3FjaycW94nn7nkvoHBXK3pPFLH27doer3pdBUKi5wbVBtcPJUx/s5t7XN7vLXt783jgSIgP3NYmIiPgDJSxERETMMvzbYLHC0bVwer/Z0bSLId1i+O/3L6VP5wim1KwGYHfsZSZH1XonCsq5+eV1LFqTAcD8iWm8NncMkaHaOV5ERKStlLAQERExS3RX6FfbuyH9b+bG0o66dwrnv3MiSLOeotwVwg0rY/nfj/dS7XCaHVqLrNqXw6z/W0360QKi7EG8fMcofj5rEME2vb0SERHxBv2LKiIiYqZRc43HrW9AdYWpobSnqING345DnSZQhp2XvjjEzS+v43hBucmRNa+4opon39/F3Ys3kl9WzZBu0Xz4wESuHJxkdmgiIiIdihIWIiIiZuozDaK7QXke7P3A7Gjah8sFu/4LwJDpc/nzbRcRFRpE+tECZv5pNR9sP4E/7rrucrn4eEc2037/BYvXZuJywW0X9+Bf96q5poiIiC8oYSEiImImqw1G3mEcb15saijt5thGKMwydgfpO52ZQ5P58MGJDO8eQ2F5NQve2MLti9az/1Sx2ZG6ZeWV8Z2/beK+f6ZzqqiSnvHh/H3eWJ6eMxR7sM3s8ERERDokJSxERETMNvJ2o/lm5mrIPWh2NL6389/GY/+ZEBwGQI/4cN6991IevLwvIUFWvjp4hqv+tJpfLd1NUUW1aaHmllTy7LK9XPGHL/h8bw7BNgsPTO3D8h9OYlK/zqbFJSIiciFQwkJERMRssSnQ5wrjuKM333Q63OUgDPnWOU+FBFl5+Ip+fPrQZKYP6oLD6eK1rzKY+rtVvLjqEIVl7Ze4OJZfxhPv7WT8/37On1cdoqLaycVpcXz8g4k8Mr2/VlWIiIi0A4vLH4tEpV0UFRURExNDYWEh0dHRZocjInJh2/sRvPVtCI+Hh/dAUKjZEflGxmr429Vgj4FHD0JQSKOnfrn/NE8u3cXh06UAhAXbuGl0d+4en0ZqQoTXQ3M6XWzJKuCf64/w/tYT1DiNt0jDU2L5/pTeTB/UBYvF4vV5RURELiQt+RyqTcJFRET8Qd/pEJUMxdmw90MYcr3ZEflGXTnIwGuaTFYATOrXmWU/mMT7207w6urD7D1ZzN/WHeHvXx9hdM9OTOmfyNQBiQxIimp1IqHG4WR9Rh7Ldp5k+a6T5BRXup8b3yee+6f04ZLe8UpUiIiImEArLC5gWmEhIuJnPv81fPlbSJsEdy01Oxrvc1TDc/2h7Azc8V/oPdXjS10uF2sPneHV1YdZue/0Oc8lx9iZ0CeB3omRpMaH0yMugp7x4USEBuFyuXC6oMbppKLaSWZuKQdySjiQU8zBUyWkH80nv16pSWRoENMGJnL3+DSGp8R665WLiIhILa2wEBERCUQj74AvfwcZX0LOXkgcYHZE3pXxhZGsCE+A1EktutRisTC+TwLj+yRwvKCcz/fmsGpvDl8dyiW7sIJ3Nx8775ogq8Vd1tGUuIgQrhjYhRlDkri0TzyhQepPISIi4g+UsBAREfEXnXrCgFmw9wNY/xJc80ezI/KuHbXlIIOuA1vr34J0iw3jjnE9uWNcTyqqHXx9+Aybj+Rz5EwZR/LKOHqmlPyy6gaTFZ2jQumbGEmfxEj6JkYyIDmakSmxBNnUh1xERMTfKGEhIiLiTy6+10hYbHsLLn8CwuPMjsg7Kopg9xLjeOiNXhvWHmxjSv9EpvRPPOfnRRXVlFc5sFktBFkt2KwWgm1W7e4hIiISQPTrBBEREX+SOgG6DIGackj/u9nReM+Od6G6DBL6QY9xPp8u2h5Ml2g7CZGhxIaHEGUPVrJCREQkwChhISIi4k8sFmOVBcCGv4Cjxtx4vCX9b8bjRXcZr1FERESkGUpYiIiI+JuhN0J4PBQdM8pDAt2JrZC9DWwhMPzbZkcjIiIiAUIJCxEREX8TbIfR84zjr180NxZvqFtdMfAaiIg3NxYREREJGEpYiIiI+KPR3wFrEGR9DSe2mB1N61WWwPZ3jeNRc00NRURERAKLEhYiIiL+KDoZBs8xjgN5lcWu/0JVMcT1gtSJZkcjIiIiAUQJCxEREX817vvG445/QX6mqaG0mrvZ5p1qtikiIiItooSFiIiIv+p2EfS6DFwO+OpPZkfTcqd2wbGNRmnLiNvMjkZEREQCjBIWIiIi/mzSo8bjltehKNvcWFpqc+3qiv4zITLR3FhEREQk4ChhISIi4s96joeUceCognUvmB2N5yqLYdtbxrGabYqIiEgrKGEhIiLizyyWs6ssNr0GpWfMjcdTm16DykJI6GeUtYiIiIi0kBIWIiIi/q7PNEgeDtVlsP4ls6NpXnUFrK1dDTLhIbDq7YaIiIi0nN5BiIiI+DuLBSY+YhyvfxnKC0wNp1lbX4fSHIhJgaE3mh2NiIiIBCglLERERALBgGug80CjzGLNH8yOpnGOmrM7mlz6INiCzY1HREREApYSFiIiIoHAaoVpTxrHX78IBVmmhtOonf+GgqMQ0RkuusPsaERERCSAKWEhIiISKPpdCakTwVEJK582O5rzOZ1nV3+Muw+Cw8yNR0RERAKaEhYiIiKBwmKBK35lHG97C7K3mxvPN+3/GE7vgdBoGPNds6MRERGRAKeEhYiISCDpdhEMuQFwwYonzI7mLJcLVj9nHI/5LthjzI1HREREAp4SFiIiIoHm8sfBFgKHV8LBT82OxpDxJRzfDEF2GPd9s6MRERGRDkAJCxERkUDTKRXGfs84/uRxqKkyNRycjrOrPS66EyI7mxuPiIiIdAhKWIiIiASiiY9AWBzk7Iav/mhuLJteg+ytEBoDEx81NxYRERHpMJSwEBERCUThcTDzt8bxF8/CqV3mxFF8Cj57yji+/HGI6mJOHCIiItLhKGEhIiISqIZ8C/rPAmc1vHc/OGraP4ZPHoPKQug6EkbPa//5RUREpMNSwkJERCRQWSww6zljR44TW2Dd8+07f8aXsOMdwAKzfg9WW/vOLyIiIh2aEhYiIiKBLDoZrnzGOF75DJze3z7z1lTBh48Yx2O+Y2y3KiIiIuJFSliIiIgEuhG3Qu/LwVEJ//kuVJX5fs61f4Lc/RCRCFMf9/18IiIicsFRwkJERCTQWSxw7f9BeDxkb4OlD4LL5bv5Dn1urOYAmP5rCIv13VwiIiJywVLCQkREpCOI6Q43/g0sNtjxLqz1UT+L0/vhnbngcsCwW2DYTb6ZR0RERC54SliIiIh0FGkTYcb/Gsef/gIOfurd8cvy4I2bjF1BUsYZqzosFu/OISIiIlJLCQsREZGOZOx8GHkHuJzw7jzIWO2dcWuq4O3bIT8DYnvALf+EoFDvjC0iIiLSACUsREREOpK6rU57jjdWQvxjNmx5vW1jOmqMvhhHvoKQKLj1HYhI8Eq4IiIiIo1RwkJERKSjCQqF2/8Ng68HZw28dz98+iQ4nS0fq/A4LJ4F294EixVuXAyJA70dsYiIiMh5lLAQERHpiILD4FuLYNKPjO/X/AHevQtKcjwf48AKeGkCZH0NodFGsqLvNJ+EKyIiIvJNQWYHICIiIj5itcLUxyCuN7z/AOx5Hw58AhfdCZc+YPSi+CanAzJXw7a3Ydsbxs+ShxvJirhe7Rq+iIiIXNgsLpcvN2oXf1ZUVERMTAyFhYVER0ebHY6IiPjS0fWw/GdwfJPxvTUI+l4JnXpCZCJEJEL2Vti1BErrrcIYew9Mf0oNNkVERMQrWvI5VAmLC5gSFiIiFxiXCzK+hNXPQcYXjZ8X1gkGXgvDvw09L2m/+ERERKTDa8nnUJWEiIiIXCgsFug12fg6vhmOrDNWU5TkQMkpiEqGwXOg1xSwBZsdrYiIiFzglLAQERG5EHUbZXyJiIiI+CntEiIiIiIiIiIifkcJCxERERERERHxO0pYiIiIiIiIiIjfUcJCRERERERERPyOEhYiIiIiIiIi4neUsBARERERERERv6OEhYiIiIiIiIj4HSUsRERERERERMTvKGHRAtnZ2Tz55JOMGjWK+Ph4wsPD6d27N3PnzuXLL79slxj27t1LWFgYFovF/SUiIiIiIiLS0VhcLpfL7CACwXvvvcfdd99Nfn5+o+fcc889LFy4EJvN5pMYnE4nEyZMYN26def8vLV/hEVFRcTExFBYWEh0dLQ3QhQRERERERFpVEs+hwa1U0wBbeXKldx0001UVVUBMGvWLK699loiIiJIT09n0aJFFBYW8vLLL2OxWHjxxRd9Esef/vQn1q1bR0REBKWlpT6ZQ0RERERERMQfaIVFMyorKxkwYACZmZkAPP/88yxYsOCcc/bv38/kyZM5efIkAJ999hlTp071ahyHDh1i2LBhlJWV8Yc//IGHHnrI/ZxWWIiIiIiIiEggaMnnUPWwaMZrr73mTlZcc8015yUrAPr168fChQvd3z/22GNejcHlcvHd736XsrIyxo4dy4MPPujV8UVERERERET8jRIWzXjrrbfcxw8//HCj582ePZvU1FQA1q1bx5EjR7wWw0svvcSqVasIDg7m1VdfxWrVH5uIiIiIiIh0bPrk24Ti4mLWrFkDQFRUFBMnTmz0XKvVyowZM9zff/zxx16J4ejRo/z4xz8G4Ec/+hFDhw71yrgiIiIiIiIi/kwJiybs3r0bp9MJwMiRI5vd/WPMmDHu4x07dnglhu9973sUFxfTr18/nnjiCa+MKSIiIiIiIuLvlLBowr59+9zHaWlpzZ5f/5z617bWX//6V5YvX47FYuEvf/kLoaGhbR5TREREREREJBBoW9MmFBQUuI8TEhKaPT8+Pr7Ba1vjxIkT7p4Z8+fPZ9KkSW0aD4wdTyorK93fFxUVtXlMEREREREREV/QCosmlJSUuI/tdnuz54eFhbmPi4uL2zT3fffdR0FBAV27duXZZ59t01h1nnnmGWJiYtxfKSkpXhlXRERERERExNsCPmExZcoULBaLV77q7whipjfeeIP3338fgBdeeIGYmBivjPvTn/6UwsJC91dWVpZXxhURERERERHxNpWENCEyMtJ9XFFR0ez55eXl7uOoqKhWzZmTk8MPfvADAObMmcOcOXNaNU5DQkND1QdDREREREREAkLAJyxuuOEGRowY4ZWx+vfvf873sbGx7uPc3Nxmrz9z5kyD17bEggULyM3NJSYmhoULF7ZqDBEREREREZFAF/AJiwULFvhs7PoJjIyMjGbPr3/ON5MfnigsLOTdd98FYPDgwSxatMij637961+7j+fPn0+XLl1aPLeIiIiIiIiIPwn4hIUvDRo0CKvVitPpZMuWLTgcDmw2W6Pnb9y40X08ZMiQFs/ncrncx2vXrmXt2rUeXff444+7j6+++molLERERERERCTgBXzTTV+Kiopi/PjxgLHrx5o1axo91+l0snz5cvf3V111lc/jExEREREREemolLBoxi233OI+fu655xo9b8mSJe6SkHHjxpGamtriuWJjY3G5XB591Vf/597q5yEiIiIiIiJiJiUsmjFv3jx69OgBwNKlSxtshHngwAHuv/9+9/dPPfVUo+Olpqa6t1FdtWqV1+MVERERERER6QjUw6IZdrudRYsWMXPmTKqrq1mwYAHLli3j2muvJSIigvT0dF599VUKCwsBo+nltGnTTI5aREREREREJLApYeGBadOm8fbbbzNv3jwKCgr44IMP+OCDD847b/78+bz44osmRNg6daUlRUVFJkciIiIiIiIiF4K6z5/fbHXQECUsPDRnzhzGjRvHiy++yNKlS8nMzKSiooLk5GQmTJjAd77zHSZPnmx2mC1SXFwMQEpKismRiIiIiIiIyIWkuLiYmJiYJs+xuDxJa0iH5HQ6OXHiBFFRUVgslhZfP2bMmHO2cvXltUVFRaSkpJCVlUV0dHSr5pRzteXPz5/40+to71h8NZ83x23rWK29XvcY/+BPfz/bwp9eR3vG4su5dJ/RfcZb/OnvZ1v40+voCPcZf7rHtGWMjnqfcblcFBcX07VrV6zWpttqaoXFBcxqtdK9e/dWX2+z2Vr9F6G110ZHR/v1X75A0pY/P3/iT6+jvWPx1XzeHLetY7X2et1j/IM//f1sC396He0Ziy/n0n3GP/5/6gj86e9nW/jT6+gI9xl/use0ZYyOfJ9pbmVFHe0SIq1Wf2eU9rxWvKOj/Bn40+to71h8NZ83x23rWK293p/+v7iQdZQ/B396He0Ziy/n0n1GvKWj/Dn40+voCPcZf7rHtGUMf/r/wiwqCZGAUFRURExMDIWFhX6fLRSRwKN7jIj4mu4zIuJrHfE+oxUWEhBCQ0P5xS9+QWhoqNmhiEgHpHuMiPia7jMi4msd8T6jFRYiIiIiIiIi4ne0wkJERERERERE/I4SFiJAeno6zz77LDfeeCOpqalYLBYsFguZmZlmhyYiAaSqqopnnnmGwYMHExYWRufOnbn++utJT083OzQR6QD0fkVEfKm6uppPPvmEBx98kGHDhhEREYHdbqdPnz7cf//9HDlypN1jUkmICDB79mzee++9836ekZFBampq+wckIgGnqqqKK6+8klWrVpGYmMjkyZPJzs5mzZo1BAcHs3TpUq688kqzwxSRAKb3KyLiS59++ilXXHEFACkpKYwaNQqADRs2cOLECaKjo1m2bBmXXHJJu8UU1G4zifixSy65hKFDhzJ69GhGjx7NqFGjOHXqlNlhiUgA+c1vfsOqVasYM2YMn376qbs795tvvsmtt97K7bffzuHDh4mKijI5UhEJVHq/IiK+ZLVaueGGG3j44YfPSUpUVFRw3333sXjxYr797W9z4MABgoOD2yUmrbAQaUBSUhKnTp3SbyxExCM1NTV06dKFvLw8Nm7cyOjRo895ftasWXz00Uf88Y9/5Ac/+IFJUYpIR6P3KyLSXsrLy0lOTqawsJBVq1YxefLkdplXPSxERETa6KuvviIvL4+0tLTzkhUAN998M0CDS7lFRERE/F1YWBj9+vUD4MSJE+02rxIW4jGHw8HOnTtZvHgxDzzwAJdccgnh4eHuhk9z585t1bjvv/++u3mU3W4nMTGRSy+9lN/+9rcUFRV590WISMDzx3vR1q1bAdy1nt900UUXAbBt27ZWxSYi7csf7zMi0rEE2n3G4XC4G/wmJSW1epyWUg8L8dhNN93Ef/7zH6+NV1JSwm233cb7779/zs9Pnz7N6dOnWbduHc8//zzvvPMO48aN89q8IhLY/PFeVNc1u3v37g0+X/fzvLw8SkpKiIyM9Fr8IuJ9/nifEZGOJdDuM//4xz84ffo0nTt35tJLL/VW2M3SCgvxmMPhOOf7uLg4+vbt2+qxbrzxRvdfqC5duvDYY4/xxhtv8MILLzB+/HgAsrKymDlzJnv27Glb8CLSYfjjvaikpASAiIiIBp+vn6AoLi5uVawi0n788T4jIh1LIN1nMjMzeeSRRwB4+umnCQ0NbVWcraEVFuKxsWPHMnDgQEaNGsWoUaNIS0tj8eLF3H333S0e69VXX2XZsmUADBo0iM8//5wuXbq4n7///vt59NFHee6558jPz+eee+7hyy+/bHCsO++8kw0bNrRo/jlz5vDMM8+0OG4RMZ+/3otEpOPQfUZEfC1Q7jNFRUVcd9115OXlceONNzJ//vwWx9cmLpE2+Otf/+oCXIDrrrvu8uiampoaV3Jysvu6zZs3N3reiBEj3OctX768wfMmT57sPsfTr+Zi7dKliwtwZWRkePSaRMRcZt+LHnroIRfg+uEPf9jgGPn5+e7ri4uLPX5dIuI/zL7PNETvV0Q6Fn+7z5SXl7s/a11++eWuioqKlrwcr1BJiLS7L7/8kuzsbAAmT57sbkb3TTabjQcffND9/ZtvvtngeatWrcLlcrXoa/HixV5/XSISWLx5L+rZsycAx44da3CMup/HxcWpf4XIBcTb73lERL7JV/eZ6upqvvWtb/HFF18wbtw43nvvvXYtBamjhIW0u48//th9PHPmzCbPveqqqxq8TkSkrbx5LxoxYgQAmzdvbvD69PR0AIYPH97SMEUkgOk9j4j4mi/uM06nk9tvv52PPvqI4cOH89FHHzXap8vXlLCQdrdjxw738ZgxY5o8NykpiZSUFABOnTrF6dOnfRqbiFw4vHkvGj9+PHFxcWRkZLBp06bzrn/77bcBuO6669oatogEEL3nERFf8/Z9xuVyMX/+fN555x369+/PJ598QqdOnbwbdAsoYSHtbt++fe7jtLS0Zs+vf079a0VE2sKb96KgoCB++MMfAvD973//nH3O33zzTT766CMSEhKYN29eG6MWkUCi9zwi4mvevs888sgjvPbaa6SlpfHZZ5+RmJjonUBbSbuESLsrKChwHyckJDR7fnx8fIPXetOHH37IU0895f4+Ly8PMHYTqavVmjVrFo8//rhP5heR9ufte9GPf/xjPv/8c1atWkXfvn2ZPHkyJ0+eZPXq1QQHB/OPf/yDqKgob4QuIgHC2/cZvV8RkW/y5n3mvffe4w9/+AMAqamp/PznP29wjNmzZzN79uwWx9oaSlhIuyspKXEf2+32Zs8PCwtzHxcXF/skptOnT7N+/frzfr5161b38YABA3wyt4iYw9v3opCQEJYvX87vfvc7Xn/9dd5//30iIyO57rrreOKJJxptgiUiHZe37zN6vyIi3+TN+0x+fr77eOXKlY2OkZqaqoSFSHuaO3cuc+fONTsMEQlwISEh/OxnP+NnP/uZ2aGISAek9ysi4kv+eI9RDwtpd/W39KuoqGj2/PLycvexllOLiLfoXiQivqb7jIj4Wke/zyhhIe0uNjbWfZybm9vs+WfOnGnwWhGRttC9SER8TfcZEfG1jn6fUcJC2l3//v3dxxkZGc2eX/+c+teKiLSF7kUi4mu6z4iIr3X0+4wSFtLuhg4d6j7euHFjk+eeOnWKrKwsABITE+ncubNPYxORC4fuRSLia7rPiIivdfT7jBIW0u5mzJjhPv7444+bPPejjz5yH8+cOdNnMYnIhUf3IhHxNd1nRMTXOvp9RgkLaXeTJ08mKSkJgFWrVpGent7geQ6Hg//7v/9zf3/LLbe0S3wicmHQvUhEfE33GRHxtY5+n1HCQtqdzWbjiSeecH9/5513kpOTc955P/nJT9z7io8fP54rr7yyvUIUkQuA7kUi4mu6z4iIr3X0+4zF5XK5zA5CAkNGRgaLFi0652fbt29n6dKlAAwbNoxrrrnmnOenTp3K1KlTzxurpqaGmTNnsmLFCgCSkpKYP38+gwYNIi8vjzfffJM1a9YARvfaNWvWMHjwYF+8LBEJMLoXiYiv6T4jIr6m+4yHXCIeWrlypQto0dcvfvGLRscrKipyXX311U1e3717d9dXX33Vfi9SRPye7kUi4mu6z4iIr+k+4xmVhIhpoqKiWLp0KUuWLOH6668nJSWF0NBQEhISuPjii/nNb37Dzp07ufTSS80OVUQ6MN2LRMTXdJ8REV/rqPcZlYSIiIiIiIiIiN/RCgsRERERERER8TtKWIiIiIiIiIiI31HCQkRERERERET8jhIWIiIiIiIiIuJ3lLAQEREREREREb+jhIWIiIiIiIiI+B0lLERERERERETE7yhhISIiIiIiIiJ+RwkLEREREREREfE7SliIiIiIiIiIiN9RwkJERERERERE/I4SFiIiIiIiIiLid5SwEBERERERERG/o4SFiIiIiIiIiPgdJSxERERERERExO8oYSEiIiIiIiIifkcJCxERERERERHxO0pYiIiIiIiIiIjfUcJCRERExEOrVq3CYrFgsVh48sknAThw4ACPPPIIgwcPJjY29pznREREpPWCzA5AREREJFC9/vrrfO9736O8vNzsUERERDocJSxEREREWmHt2rU8/fTTWCwW7rrrLiZOnEhERAQHDx6kR48eZocnIiIS8JSwEBEREWmFFStWkJiYyIoVKxg2bJjZ4YiIiHQ46mEhIiIi0kovv/yykhUiIiI+ooSFiIiISCv07NmT6667zuwwREREOiwlLERERERaYfz48VgsFrPDEBER6bCUsBARERFphe7du5sdgoiISIemhIWIiIhIK4SFhZkdgoiISIemhIWIiIiIiIiI+B0lLERERERERETE7yhhISIiIiIiIiJ+RwkLEREREREREfE7SliIiIiIiIiIiN9RwkJERERERERE/I4SFiIiIiIiIiLid5SwEBERERERERG/Y3G5XC6zgxARERERERERqU8rLERERERERETE7yhhISIiIiIiIiJ+RwkLEREREREREfE7SliIiIiIiIiIiN9RwkJERERERERE/I4SFiIiIiIiIiLid5SwEBERERERERG/o4SFiIiIiIiIiPgdJSxERERERERExO8oYSEiIiIiIiIifkcJCxERERERERHxO0pYiIiIiIiIiIjfUcJCRERERERERPyOEhYiIiIiIiIi4neUsBARERERERERv/P/AQ29fiIDkrdnAAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# Make a logarithmically space grid in radius\n", "#\n", @@ -53779,14 +84329,27 @@ "\n", "for l in range(2,3):\n", " for n in range(6):\n", - " plt.semilogx(r, disk_grid[l][n]['potential'], '-', label=\"n={}\".format(n))\n", + " plt.plot(r[:1500], disk_grid[l][n]['density'][:1500], '-', label=\"n={}\".format(n))\n", " plt.xlabel('r')\n", - " plt.ylabel('potential')\n", + " plt.ylabel('density')\n", " plt.title('m={}'.format(l))\n", " plt.legend()\n", " plt.show()\n", " " ] + }, + { + "cell_type": "markdown", + "id": "f8530a91", + "metadata": {}, + "source": [ + "***\n", + "\n", + "## Where do you want to go next?\n", + "\n", + "- [Return to Table of Contents](../README.ipynb)\n", + "- [Back to previous notebook](./cube%20run.ipynb)\n" + ] } ], "metadata": { diff --git a/Tutorials/Introduction/Part1-Coefficients.ipynb b/Tutorials/Introduction/Part1-Coefficients.ipynb index 86f1729..f43fcae 100644 --- a/Tutorials/Introduction/Part1-Coefficients.ipynb +++ b/Tutorials/Introduction/Part1-Coefficients.ipynb @@ -81,7 +81,7 @@ "\n", "------------------------------------------------------------\n", "---- SLGridSph::ReadH5Cache: successfully read basis cache \n", - "Spherical::orthoTest: worst=0.00016446\n" + "---- Spherical::orthoTest: worst=0.00016446\n" ] } ], @@ -254,7 +254,7 @@ "file group is ['OUT.run0.00010']\n", "The component names are: ['dark halo', 'star disk']\n", "Selected dark halo\n", - "Call createFromReader at Time 0.09999999999998707 for 100000 particles\n", + " for 100000 particles at Time 0.09999999999998707\n", "Created coef\n", "Added coef\n", "------------------------------------------------------------\n", @@ -519,19 +519,19 @@ "----------------------------------------\n", "---- potl\n", "----------------------------------------\n", - "[[-0.0729711 -0.0746728 -0.07639428 ... -0.07643711 -0.07471762\n", - " -0.07301702]\n", - " [-0.07466856 -0.07648817 -0.07833603 ... -0.07837951 -0.07653369\n", - " -0.07471516]\n", - " [-0.07638423 -0.07833 -0.08031277 ... -0.08035868 -0.07837775\n", - " -0.07643281]\n", + "[[-0.9169819 -0.9383662 -0.95999885 ... -0.960537 -0.9389293\n", + " -0.917559 ]\n", + " [-0.9383129 -0.9611787 -0.9843996 ... -0.984946 -0.96175075\n", + " -0.93889844]\n", + " [-0.95987254 -0.98432374 -1.0092399 ... -1.009817 -0.98492396\n", + " -0.960483 ]\n", " ...\n", - " [-0.07633456 -0.07827479 -0.0802502 ... -0.08030772 -0.07833853\n", - " -0.07640438]\n", - " [-0.07461557 -0.07642901 -0.07826892 ... -0.07832243 -0.076488\n", - " -0.07468001]\n", - " [-0.07291635 -0.07461157 -0.07632488 ... -0.07637327 -0.07466494\n", - " -0.07297471]]\n", + " [-0.9592484 -0.98363 -1.0084537 ... -1.0091766 -0.984431\n", + " -0.9601257 ]\n", + " [-0.93764687 -0.9604352 -0.98355633 ... -0.98422873 -0.9611766\n", + " -0.9384567 ]\n", + " [-0.91629386 -0.9375966 -0.9591268 ... -0.9597348 -0.9382673\n", + " -0.9170273 ]]\n", "----------------------------------------\n", "---- potl m=0\n", "----------------------------------------\n", @@ -628,6 +628,7 @@ "name": "stdout", "output_type": "stream", "text": [ + "Nothing to delete\n", "Coefficient file saved\n" ] } @@ -667,7 +668,8 @@ "output_type": "stream", "text": [ "Type is sphere\n", - "Times are the same, now checking parameters at each time\n" + "Times are the same, now checking parameters at each time\n", + "Parameters are the same, now checking coefficients\n" ] }, { @@ -679,13 +681,6 @@ "execution_count": 7, "metadata": {}, "output_type": "execute_result" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Parameters are the same, now checking coefficients\n" - ] } ], "source": [ @@ -706,6 +701,19 @@ "source": [ "This member function will print differences. No differenced should be printed, of course." ] + }, + { + "cell_type": "markdown", + "id": "424e6b92", + "metadata": {}, + "source": [ + "***\n", + "\n", + "## Where do you want to go next?\n", + "\n", + "- [Return to Table of Contents](../README.ipynb)\n", + "- [Go to next notebook](./Part2-Analysis.ipynb)\n" + ] } ], "metadata": { diff --git a/Tutorials/Introduction/Part2-Analysis.ipynb b/Tutorials/Introduction/Part2-Analysis.ipynb index 5ad6d1e..c56a290 100644 --- a/Tutorials/Introduction/Part2-Analysis.ipynb +++ b/Tutorials/Introduction/Part2-Analysis.ipynb @@ -52,7 +52,7 @@ "output_type": "stream", "text": [ "---- SLGridSph::ReadH5Cache: successfully read basis cache \n", - "Spherical::orthoTest: worst=0.00016446\n" + "---- Spherical::orthoTest: worst=0.00016446\n" ] } ], @@ -332,7 +332,7 @@ }, { "data": { - "image/png": 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JYoQQQgjhliSJEUIIIYRbkiRGCCGEEG5JkhghhBBCuCVJYoQQQgjhliSJEUIIIYRbkiRGCCGEEG5JkhghhBBCuCVJYoQQQgjhliSJEUIIIYRbkiRGCCGEEG5JkhghhBBCuCVJYoQQQgjhliSJEUIIIYRbkiRGCCGEEG7JbZOYl156CUVRePjhh10dihBCCCFcwC2TmC1btvCvf/2Lrl27ujoUIYQQQriI2yUx5eXljB8/ng8++ICgoCBXhyOEEEIIF3G7JObBBx9k1KhRDBky5LxlTSYTRqOxxk0IIYQQLYPO1QHUx+eff862bdvYsmVLncrPmTOHZ599tpGjEkIIIYQruE1LTGZmJn/9619ZtGgRXl5edTpn5syZlJaWOm+ZmZmNHKUQQgghmorbtMSkpKSQl5dHz549ncdsNhtr167lnXfewWQyodVqa5yj1+vR6/VNHaoQQgghmoDbJDGDBw9m9+7dNY5NnDiRxMREnnzyyTMSGCGEEEK0bG6TxPj7+9OlS5cax3x9fQkJCTnjuBBCCCFaPrcZEyOEEEKIpldUVMT48eMxGAwEBgYyadIkysvLaz2nurqaBx98kJCQEPz8/BgzZgy5ublnLVtYWEhMTAyKolBSUlKv2Nw6iVm9ejVvvvmmq8MQQgghWqzx48eTmprKihUrWLZsGWvXrmXKlCm1nvPII4/w3Xff8eWXX7JmzRqys7O5+eabz1p20qRJF7x4rVsnMUIIIYRoPGlpaSxfvpx///vf9O3bl6uuuoq3336bzz//nOzs7LOeU1payoIFC3j99dcZNGgQycnJLFy4kA0bNvD777/XKPv+++9TUlLCY489dkHxSRIjhBBCtBB/XuDVZDJdVH0bN24kMDCQXr16OY8NGTIEjUbDpk2bznpOSkoKFoulxqK0iYmJxMXFsXHjRuexvXv38txzz/Hxxx+j0VxYOuI2A3uFEEKIlujrsm54qR4XVUd1uQX4mdjY2BrHZ82axezZsy+43pycHMLDw2sc0+l0BAcHk5OTc85zPD09CQwMrHE8IiLCeY7JZOL222/n1VdfJS4ujiNHjlxQfJLECCGEEC1EZmYmBoPBef9ca6XNmDGDl19+uda60tLSGjS2082cOZNOnTpxxx13XFQ9ksQIIYQQLYTBYKiRxJzL9OnTmTBhQq1lEhISiIyMJC8vr8Zxq9VKUVERkZGRZz0vMjISs9lMSUlJjdaY3Nxc5zmrVq1i9+7dLFmyBABVVQEIDQ3l6aefrvOWQZLECCGEEJeYsLAwwsLCzluuX79+lJSUkJKSQnJyMuBIQOx2O3379j3rOcnJyXh4eLBy5UrGjBkDwP79+8nIyKBfv34AfPXVV1RVVTnP2bJlC/fccw+//fYbbdu2rfPrkCRGCCGEEGfVqVMnRowYweTJk5k3bx4Wi4WpU6cybtw4oqOjAcjKymLw4MF8/PHH9OnTh4CAACZNmsSjjz5KcHAwBoOBadOm0a9fPy6//HKAMxKVgoIC5/P9eSxNbSSJEUIIIcQ5LVq0iKlTpzJ48GA0Gg1jxozhrbfecj5usVjYv38/lZWVzmNvvPGGs6zJZGL48OG89957DR6bop7siLoEGI1GAgIC2JoagZ+/zC4XQghxduVldnp1zqW0tLROY0wuxMlr0t9+H4aX38XPTnrh8p8bNd7mSK7kQgghhHBLksQIIYQQwi1JEiOEEEIItyRJjBBCCCHckiQxQgghhHBLksQIIYQQwi1JEiOEEEIItyRJjBBCCCHckiQxQgghhHBLksQIIYQQwi1JEiOEEEIItyRJjBBCCCHckiQxQgghhHBLksQIIYQQwi1JEiOEEEIItyRJjBBCCCHckiQxQgghhHBLksQIIYQQwi1JEiOEEEIItyRJjBBCCCHckiQxQgghhHBLksQIIYQQwi1JEiOEEEIItyRJjBBCCCHckiQxQgghhHBLksQIIYQQwi1JEiOEEEIItyRJjBBCCCHckiQxQgghhHBLksQIIYQQwi1JEiOEEEIItyRJjBBCCCHckiQxQgghhHBLksQIIYQQwi3pXB2AEKJx7N1j4US2jYJ8O4UFNgoK7BTm26muVvHzV3jt7SBn2bn/MHLwgLXG+Z6eEByiJTRMw//91Q+tVgGgqNCGp17B11dBUZQmfU1CCHE6SWKEcENms8rhg1b2plrYl2phX5oVDw/4z6IQZ5m/PVHC3j3Ws54fHFKzEXbHdgtbN5nPWtbHR2Hao/7O+zOnl7JmlQkvLwgJ0xIRoaFjJw8Skzzo1FlH58s8nAmPEML9FRUVMW3aNL777js0Gg1jxozhn//8J35+fuc8p7q6munTp/P5559jMpkYPnw47733HhEREc4yW7ZsYcaMGaSkpKAoCn369OGVV16hW7dudY5Nkhgh3Mhrc4z8tsbE4YNWLJaaj/n5n0oclhh7om+3kxilHL8QT3xD9PiF6PEL8cTTR4dOr2GJsZWzfKe784i9zlSjPku1jYpCM3abnSXGROfx9JINgInqasjKtJGVaWPbVkcwXl6QkhbpLLt6ZTUeHgqdOusIDtE24DshhGgq48eP58SJE6xYsQKLxcLEiROZMmUKixcvPuc5jzzyCN9//z1ffvklAQEBTJ06lZtvvpn169cDUF5ezogRI7jhhht47733sFqtzJo1i+HDh5OZmYmHh0edYlNUVVUb5FW6AaPRSEBAAFtTI/Dzl+FAonkyVats/t3EqhUmdm4389X3oc5um2lTilix3JFseBl0RHU0ENUpgMiOBoJjfGjdM6hJunhMlVbKC0xUFJooPlFFzj4jJ/YZ0eo0fPPpqWTl+qH5HNzvaA2KjNLQ7yo9g4Z6ccXVnvj6ymdQNF/lZXZ6dc6ltLQUg8HQKM9x8pr0t9+H4eVXt4v2uVSXW3jh8p8bPN60tDSSkpLYsmULvXr1AmD58uWMHDmS48ePEx0dfcY5paWlhIWFsXjxYm655RYA9u3bR6dOndi4cSOXX345W7dupXfv3mRkZBAbGwvA7t276dq1KwcPHqRdu3Z1ik9aYoRoBooKbaxeZeLXFdWsX2umsvLUb4vsLBsbDX0AiLutkPEjLUQmGgiM8nbZmBS9jw59nI6QOF/iekC3kadadZYYHf9VVRXvtjsIqS6l8FgFOSfsLP2yiqVfVuGph5HXe/PS64EuiV8IUTcbN24kMDDQmcAADBkyBI1Gw6ZNm7jpppvOOCclJQWLxcKQIUOcxxITE4mLi3MmMR07diQkJIQFCxbw1FNPYbPZWLBgAZ06dSI+Pr7O8UkSI4SLLZhXztw5ZZzeJuofriexfwQd+4ezVh/Kyd9obXqHnLWO5khRFG59pQcApgorx3eXsH9NHmm/5lJ8vBLdad8+drvK/PcquPJqTzpf5oFGI2NqhLgQRqOxxn29Xo9er7/g+nJycggPD69xTKfTERwcTE5OzjnP8fT0JDAwsMbxiIgI5zn+/v6sXr2a0aNH8/zzzwPQvn17fvrpJ3S6uqcmksQI0YROZNv48rNKBg7Rc1k3TwA6JOpQVYjqZCCxfwSJAyOITjK0qJk/el8dbS8Ppe3loVz7RCfyj5Sj0SosMfpxi2Ebe3ZZePOVMt58BcLCNYy8wZvbxvuQ0Fa+okTL92tuB3TlF55oAFgrTMDPzq6Zk2bNmsXs2bPPKD9jxgxefvnlWutMS0u7qJhqU1VVxaRJk7jyyiv57LPPsNlszJ07l1GjRrFlyxa8vb3rVI98QwjRyMwmlVUrqvnqv1WsW2NCVR3jXi7r5skSY0+sl9l5bIWJwKi6fWjdnaIohLc9NdtpibEn2dWldB56iIPr88nPs/HRvyv46N8VJPf24ObbfBgxykvG0AhRB5mZmTXGxJyrFWb69OlMmDCh1roSEhKIjIwkLy+vxnGr1UpRURGRkZFnPS8yMhKz2UxJSUmN1pjc3FznOYsXLyY9PZ2NGzei0Wicx4KCgvjmm28YN27c+V4qIEmMEI1m314LX31RybdLqygtOdVX1KZ3MOauCSwxOqYa6jw0l0wCcy7RSQHc/kYyVrONQxsK2LokgwNr80jZYiFlSymtWmm5/MqL+6UqxKXAYDDUaWBvWFgYYWFh5y3Xr18/SkpKSElJITk5GYBVq1Zht9vp27fvWc9JTk7Gw8ODlStXMmbMGAD2799PRkYG/fr1A6CyshKNRlOjxfnkfbvdft64TpIkRohGYLWqTLqjiMICx4fREOFFjxtj6Dk6hpA4XxdH13zpPLUkDoggcUAExrxqtn97nCObCunT79RX1X/ml2Ozwo1jvAmPkGnbQjSmTp06MWLECCZPnsy8efOwWCxMnTqVcePGOWcmZWVlMXjwYD7++GP69OlDQEAAkyZN4tFHHyU4OBiDwcC0adPo168fl19+OQBDhw7l8ccf58EHH2TatGnY7XZeeukldDodAwcOrHN8ksQI0QByc2x881UVk//PF0VR0OkUbhnnzboD/iTfFEu7K8LQyAJw9WII96L/ve3of287/lfuOHaDVwofvFdBcZGdN18tY9i1Xvz1cX/i28hXmRCNZdGiRUydOpXBgwc7F7t76623nI9bLBb2799PZWWl89gbb7zhLHv6YncnJSYm8t133/Hss8/Sr18/NBoNPXr0YPny5URFRdU5NlknRoiLUGa08+955Xz07wqqq+GdD4Io6XeFq8NqsaxmGzuXZZOyNJOM7cUAaLUw9nYf/u+vftIyIxpMU64Tc+U3U9H5XvzA3vU3vtOo8TZHciUX4gKYqlX+M7+cIVfl8a93HAlMbLdA9vgluTq0Fk3nqSX55limfHIFDy65mo7XhGOzweefVjL8mnx+/K7K1SEKIZqQtMEKUQ92u8o3X1Xx1mtlnMh2jHcJS/Bj2MMdSRwY0aKmRTd3UYkG7nyvN0e3FvLzG/s4kVpC0mUXt+qpEMK9SBIjRD2oKiz8oIIT2XYMEV4MfrAD3W9ohVYnjZqu0qZXCFM+vYKc/WVsCTbQmm2AY5+phHY6brjZWzakFKKFkiRGiPPYtcNM+44eeHsraLUKT/7NwH+3hXP5X+Lx8JIxGM2BoihEJTrGASwx9iRnv5F/z/sNVYX/zK/g8af8uWagl4ujFEI0NPn5KMQ5VFbaeXFWKbfdWMinCysAxwXyRPd+XH1PW0lgmrGQ1r4MeyQRg0Hh4H4rU+4u5tEHiykuqvv6E0KI5k+SGCHOYttWMzeNKOCThZWoKqzPCGGJsaerwxJ15OGl5ep72jLtx6FceXcbtFr44btqrhuSzy8/Vbs6PCFEA5EkRojTmKpVXn3RyPgxhRxLt2GI8OLuf/Xhuqc6uzo0cQG8Azy49vEkpiy+ivB2fhQW2Hn68RKMpdIiI0RLIGNihPjD/jQL06eWcOigFYAeN8Yw8skkvA0y48XdteocwP/99ypWvnuQ0T0KMQTI7zchWgK3+STPmTOH3r174+/vT3h4OKNHj2b//v2uDku0IDodZGRY8QvRM/7tXox5sZskMC2IzlPL8EcSqRpwpbNrcOXP1fz9iRLKy6RlRgh35DZJzJo1a3jwwQf5/fffWbFiBRaLhWHDhlFRUeHq0IQbO32gZ9v2Htz6Wi+mfX0NnQZGuDAq0RQ+y+vG7JmlfPl5FTcML+D39SZXhySEqCe3SWKWL1/OhAkT6Ny5M926dePDDz8kIyODlJQUV4cm3JDdrjL/3XIGXp7Ljm1mwDHzKHFABL5Bni6OTjQFDy8tN7zSh6AYb7KP25hwexHPP1OK2XTJ7MQihNtzmyTmz0pLSwEIDg4+ZxmTyYTRaKxxE6Ky0s5fHyjh9ZfLqK6Gfy7xl5lHl6g2vUOY+r9r6HNrHACLPqzk7nGFFOTbXByZEKIu3DKJsdvtPPzww1x55ZV06dLlnOXmzJlDQECA8xYbG9uEUYrmKOu4lb/cXMiKH6vx8ITRsy9j5JOy39GlTO+j44ZnLuOu93vjb1DYnmJh7PUFFBVKIiNEc+eWScyDDz7Inj17+Pzzz2stN3PmTEpLS523zMzMJopQNEfbtpi59YZC9u21EhKqYeKCfvS6JU72OxIAdLg6nEmLryE03per+usJCnbLr0chLiluN8V66tSpLFu2jLVr1xITE1NrWb1ej15/cdubi5YhdbeFu28vxGKGyI4G7ninF4FR3q4OSzQzofF+3Lf4Sjy8tSjKDgCsVhWdThJdIZojt/mpoaoqU6dOZenSpaxatYo2bdq4OiThRhKTdAwd4UWnQRFM+aSfJDDinLwNHug8NCwx9sRiUXnw3mL+ObcMVZUBv0I0N27TEvPggw+yePFivvnmG/z9/cnJyQEgICAAb2+5IImzs9tVNBrHxo19nx3I5RoFjexoLOropR9iWLMqhzWrTJSW2PnbcwY0Gvn3I0Rz4TYtMe+//z6lpaUMGDCAqKgo5+2LL75wdWiiGVJVlTdfLeOJh0uw21WWGHui9dBIAiPqpdPACK7/WxcUBRZ/XMnjfy3BYpEWGSGaC7dpiZGmXFFXdrvKC88YWfxxJQAh18bR/koXByXcVt9xrfE2ePC/p7bz/TfVlJcV8+b7QXh7S0IshKu5TUuMEHVhsag88XAJiz+uRFHghr93of2VYa4OS7i5riOjuf2t3nh5wZpVJu69o5Ayo2xVIISrSRIjWgybTWXm9BKWfV2NTge3vtKDPre1dnVYooXoeE04d8zvh79BIS3VypHDVleHJMQlz226k4SojaqqzJ5Z6kxgxr3Zi8QBsv+RaFjxPYO5c8GVXKVNo1sP2Z5CCFeTlhjRIuxPs/L1V1VoNHDLyz0lgRGNJrpTAEc6XO68n3nMKoN9hXARSWJEi5CY5MF7C4IY/Xw3ugyPcnU44hKwxNiT1N0Wbr2xkCcfccyCE0I0LUlihFs7fdZabs8r6Hlj7as4C9GQvsloQ3mZnR++reaD9ypcHY4QlxxJYoTbOnLIytjrCzm43yK7UAuX6HB1OKOevgyAf84tY/1ak4sjEuLSIkmMcEvl5XamTSlmzy4Ljz0v/4yF6/S6JY7km2Ox22H6tGKyjsusJSGainz7C7ejqipPP1bK4UNWDBFe3PRcV1eHJC5x1z3dmVadAygpVnnovhJM1TI+RoimIEmMcDsLP6jgpx+q8fCAca/1xC9UdioXruWh1zLujZ4EBimk7rYw/71yV4ckxCVB1okRbmXTRhOvzSkDYMSTnYnrHuTiiIRwCIr2YfTLvSn6cTeT7vd1dThCXBIkiRFuI+eEjUf+rwSbDbpf30pW4xXNTrsrwuCKQfj4bHN1KEJcEqQ7SbgNDw9o31FHZEcDNzxzGYoiG/CJ5mmJsSd2u8rHCyooKrS5OhwhWixpiRFuIyRUy4JPg/k0owue3lpXh9MinFxnRxLChnfvM95s+DiHNb9W88HHwWg08h4L0dCkJUY0e5WVp3YL/royWQbyNhBThZWNn6bz8sCVPH/5T3z7/G6s5tpbDew2FZtFdm+ui+SbY/HygvVrzXzyn0pXhyNEiyRJjGjWqqtVbhpRwDMzSvk06zJXh+M2VFXFbnPcbFY7Nqvd+f9Ptr5s+e8xNnxylIkf9GXqV1dTkl3F8rlpAGddQr+y1Mxv/znMK4NX8nzfn1j2j1Ssf0posvaUkPK/TNJ+zaUo89K+cEe082fY410Ax0J4J7KlW0mIhiZJjGjW/vVOOcfSbSxfaUeR5vg6UxQFjdZx0+o0aHUa5/9XFIWC9HLSU4pIHhNLRHt/glr50P6qMLLTjFSWms/a9bHxk3S2f3OcKZ9ewbSvryH/aDkr3tznfHzPTyf4/qW97Poxm9XzDrJ01i6ObC5sypfd7PQaG0dc9yAqK1X+MbvU1eEIcUGKiooYP348BoOBwMBAJk2aRHl57csIzJ8/nwEDBmAwGFAUhZKSkhqPp6enM2nSJNq0aYO3tzdt27Zl1qxZmM3mesUmY2JEs3X4oIV/v+/4oIyakYTeV/651kVWaimfTt2C1WzHN9gTn0BP/MP0BER64+GlJfmmWIoyK7FZVaITDc7z/MO80PvoKDhaQVx3zxrjZXIPlXF8dwl9bmtNSJxj+nC7fqEcWJePqdIKKmz7OpOgGB/GvtQdgK+f3c2v8w6S0Cekyd+D5kKjUbjhmS7Mu/U3Viw3sWpFNYOGerk6LCHqZfz48Zw4cYIVK1ZgsViYOHEiU6ZMYfHixec8p7KykhEjRjBixAhmzpx5xuP79u3Dbrfzr3/9i3bt2rFnzx4mT55MRUUFc+fOrXNsclUQzZKqqsx+2ojFAh37h5M0JNLVIbmNiA7+3LPgcoz51ZQXmijLM1GWX015gYmcA2W06hyA1WRHo1HwDT5tfJEKigbU07qSVBUUBQrTK0CBiPb+zsf8w/ToPDUUHCmnVZdAvAwehLfzO/V4iJ7yAhPlhSb8Qi7dcUyRHQz0uyuB3/5zhH/MNnLNQD06nbQqCveQlpbG8uXL2bJlC7169QLg7bffZuTIkcydO5fo6Oiznvfwww8DsHr16rM+fjLBOSkhIYH9+/fz/vvvSxIj3N/SJVVs+d2Mt7fCdU93ltkz9aDz0BCW4EdYgt85y+z8PgurxY5Of6pHubzIhNZDg3eAxxnlK0rMaD00+AZ71jiu0SjYbY6kp8vQKLZ+lcE63RG8/HQc/r2A7te3uqQTmJMG3t+egvQKnnvEKgmMcCsbN24kMDDQmcAADBkyBI1Gw6ZNm7jpppsa7LlKS0sJDg6u1zmSxIhmp7jYzisvGAG45oGOBEX7uDii5k1VVXL2G6koMjsWWzvL4yetyO6IotVQHhRCdsYxNuS0xt8QAcC+zUfR+ESw1doFjxxvVJudIZH7AdDqFCzVNnSepyU9hWY0OgW/UD3VZRaObilEtcO+1bmUnKii49XhdB4W1civ3j14+ugY/1YvLjPIIniicRmNxhr39Xo9ev2F/5DIyckhPDy8xjGdTkdwcDA5OTkXXO+fHTp0iLfffrterTAgSYxoho4cdOwCHNHenyvubOPiaJq3nd9nsf6jo2TvLSW0jS8PfzfA+diKnMQzyitaR1LjlxCGzuBF3q9p+LUNo+xgLgXrDpL0zA14BHj/UVbDyvxOAJSHBpN19BjrcuIZHV8AQOauYgwRXgREeZPyVSbpKUXc8lJ3Ito5upzm37mBjZ8eZeD97dF6yBwCcCyCd4thGxnpVmLitLJ2jAAgIzsUjffFjZWyV1UDEBsbW+P4rFmzmD179hnlZ8yYwcsvv1xrnWlpaRcVU11lZWUxYsQIxo4dy+TJk+t1riQxotlJ7uPJj7+G89mxjnLxO48Da/PI3luKzlODPTyCn7M6oGhrf89Ods0l/e069r38I+tueBt9qB9t/28gQT3jALCZLKQvXE/srb3xDPbFr104HgYvclem8VOrKyhNzSJtTQFdXxqDRuMYfK311OB/2ho+sV0DKTpeibnKhrf8HZ0+eK+ct14r4+lnDYy7Q/ZYEg0rMzMTg+HUgP1ztcJMnz6dCRMm1FpXQkICkZGR5OXl1ThutVopKioiMvLixypmZ2czcOBArrjiCubPn1/v8yWJEc3SSl0vwtu6Oormw25XOfJ7AZu/OMbgqR2dA2y1owbRJjKdqJGX4RFQv243rwgD3V+/DdWuYqs0o/M77cvOrmK32Byjev/Q6e/Xs+/lH1k/+h28Igx0nD4MQ5dWrMhRMHeJo2LZD6x89wDRSQEA7F2ZQ//J7fDyl6+Z0+0jFotlL6+9VMaQ4V6Ehsnq06LhGAyGGknMuYSFhREWdmb385/169ePkpISUlJSSE5OBmDVqlXY7Xb69u17UbFmZWUxcOBAkpOTWbhwIRpN/X/syLeLaHaWGHu6OoRmo7LUzPavj7P5vxkUHqsAwDdYj899YwHw7wD+HSIu6jkUjVIzgQG03p60nza4xjHvqAB6vDkOAFuVBa33qQHAnkE+JEy+huPL97D/f4WE6CsZMKU9yTc7mrb3rswhPjkYn8CaA4MvRX1vj2f7t8fJ3mvkk4UVPPLE+S84QrhKp06dGDFiBJMnT2bevHlYLBamTp3KuHHjnDOTsrKyGDx4MB9//DF9+vQBHGNpcnJyOHToEAC7d+/G39+fuLg4goODycrKYsCAAbRu3Zq5c+eSn5/vfM76tPBIEiNEM6SqKhs/TWfFP/dhqXasiqv30xEyuAvqiO6uDQ5qJDAn+bULp93UQc77RQDsozSnis8eSUHroWHgA+25+p62l/RYEI1WYcCU9ix+OIXPP63kvql++PhId5tovhYtWsTUqVMZPHgwGo2GMWPG8NZbbzkft1gs7N+/n8rKU6t0z5s3j2effdZ5/5prrgFg4cKFTJgwgRUrVnDo0CEOHTpETExMjec7fTLC+ShqfUq7OaPRSEBAAFtTI/Dzly+N5kBV1TOmT1/qLTGqqvLZwynsXZkLgF/bMKJv6E74oES03u7XklG2P4cDr/9M+WHHL62EviHcMqc7hvBLd9E3u03ljVGrKT5eyawXDdx+p4yNaW7Ky+z06pxLaWlpnbpnLsTJa1Ls+7MbZGBv5gOzGzXe5kiu5KLJ2WwqZvOZuyfb7eoln8CA4z2J6xGMzlNDu2mD6TnvTqJGdXXLBAbAv2MkPefdSYfpw/Dw1nJkUyHv3LyWfatzXR2ay2i0ClfcEQ/ARwsqzrpXlRDi/CSJEU3u66+qeGtuGatWVJN+1Iqp2vEFbrdDldEC1K85sSWwWeyUnKhy3q8cdi09P5hAqxu7t4iF/hRFIeray+j+3l34tQunssTCp1O38sMre10dmsv0vCkWP3+FE1k2Dh6wujocIdySjIkRTe7b/1VxcL+Vgwes+PoqdEjUccXVev75lQGt7jDDHklsERfuuirKrOS/T2ynutzC/31xFWuMXVA04N0qyNWhNTif2GB6vHU7R/+zjuNLUmpMyb7U6H113PJ6H+7rnU5QsPyeFOJCyCdHNLl77/fF36Bw5dV6OiTq2LjezNw5ZWz5MoOyQhMHfsvDXGVzdZhNYuf3Wbx7y28c311CeaGJ7za3/M0SNZ462t4/gB5v3U7ViJHO4xXF5kuuBa5dv1BJYIS4CPLpEU3u6gFePPhXP9KPWrn7Xj8++jyEiMEdUDQKBUfL+W3hETy9W/baGaYKK189vZMvn9yBqcKKoUsrur0/EUOia5fpV232GhtANiZDUjSKRmFFTiLmSiv/vmsDi/+aQmWJuUmev7k4OQ4s85h0KQlRX5LEiCZns6mMGOWNp17h3TfKACgrqCZpSCT3LbqSax/v5OIIG1fOASPv3bqO7d8cR9FA67v60f21W/GKcN2MAktZNXazFUWrQdEoTZrMACz91Y+izErSVuXyzpjfyNhe1GTP7WrmSit3jC3k2oH5ZGddGi2QQjQUSWJEk9NqFTz1Cnfd48v630w8Pj+YncuySBrsWOAoulOAiyNsPKqq8s2zuyk8VoE+zJ+ur91G/F1XnHergMaW+3Mq6296l32vLsdcXHEqmbGrqDZ7jbLWChNlBxp2ZlFwcjzd3h6Pd0wQxtxqFk7ZTHZaaYM+R3Pl6aOj0O6H1QqLP6pwdThCuBVJYoTLRLfS8q8Pg9n29XEs1Xba9m3540EUReHOd3sTfUM3kv91J4GXxZz/pCYQMyaZbq/diqW4ko23zmPP35dScawQRaM4EyzVrnL8f9vY9eQS0l5cxu+3zyf/t4MNFoN/+wiS37+DwJ5xWKpsfDp1K8a86garvzm7/C/xACz7pkqmWwtRDzI7STSZqiqVjb+ZsKuO/x8Tq6VbDw9umdOdoowKPH0ujX+O66u70v4hV0dRk6qqGBKjuOwfN1OVVUz6JxtJuf8TfNuE0m7qIAKSojmxbCcnlu2k1U09ib6+G9nLdpK7IpXgXvFnXcH3Qmi9Pen8zPVsf+gzjBlFLJq2lUkf9mvxY6Q6XBOO3k9Hzgkr27ZY6NXXPdcEEqKpSUuMaBKHDliY8UgJs54q5e3Xy/jmqyr+9U45k572wmqy07H/xe3/09wtn5vGliUZrg7jnE5OaVdVFe9WQXSaMZLLP5uCb5tQiremY9yXQ9GWdEL6tSX6+m4ARAxOonjbMSozChs0Fp2fF11euAmfQA8qS82UF5gatP7myEOvJWmIozt12TdV5ykthDjp0vjpK1zug/cq8PZRWLslHICd2y3s2WXhq9VVfPX0ToZM60DigJaZyGz+7zHWfXgEgOPRPfBLcE0c1goT+176EVN+Ga1u7knksM5nlDk9mfEM9CHx8REAHPt0I4pWQ/jARGfZivQCvFsFofFs+K8R7+hAEl+8leGX5eIbfGmsJdP12mi2f32c5d9X8fSzBjw8Lp21koS4UNISI5pE2l4Lo27wQlEUFEWhe09P7pjgy7jXe5LQN4TfF6djrmx5U0wPbypg2T9SAYifeCV+CWFN9tyqqlKdc2pwrNbHk6qsYsoP5WEprqzlzJrbQVhKq6g+UYo+1A+/duHO4yU7MvCOCoBzbOZoyi8j84stlB28sEHA/h0j2WDu5rzf0qdeJ/QNwTfYk5JilY3rWn7rkxANQVpiRJMYeYM3Cz+ooEs3T4KCHLnzEmNPtDoY+UQSr1/7KwXpFUQntZyZSQXp5Xz+yDbsVpXwQYnE/aVvkzxvdZ6R3F/SyF2Rirmwgn7/vR+tlwfHssLxH38LftVmqqPDST8efN66VFWlTWwBZQdyaXXzqX2tKjOLKD+cj1dkAL6tzxyQraoqFemFVKQXcHThOkKvak/iEyMuqNVmRU4iwRtW8P1Lqdw1rw/xPc8ftzvS6jQMeziRAeEZ9Ol3abQ+CXGxJIkRTWLEKC/Wrqpm2uRi+g/S07OXJ+bWNjy9taRvK6Ki2NyiEpiqUsfeQFVGC/6douj42PBG3UrBVmWhYN1Bcn5OpWRHBvwxwUXRazmwwYx3h2gAvDqe2Zdlr6jCciIPj9goNPqaA0oVReHIkUCsnv41EpDs73ZiN1kJubwt4Ji5pJzWIqMoCoHdYgjuHU/54Xx0vnoUjwsbnKuqKr+tqMJcaWPxX1O4f/GVBMf6XFBdzV3yzbEMN+S7Ogwh3IYkMaJJxLfR8cqbgSz5oortKWa2bjaTUbaZkhPVBEZ5cfVEFw0UaQQ2q53PpqdQkO5YC6bLczc2yriRkwp/P8K+l37AWn6qC0KfmIDflT3x6XUZGm/Hr3rVbgdVBUWBP7r1qtMOY/x5HZbsPGwlZfhe2ZPgO2+skXBpPD3wuyqZA+8u58SeauzVJio3pJL45AgCujqmiCt/6lJSbXY0njrKDuZSeayQTk+NrFFnRXoB5sIKgpJbn/f1KYpC4hPXsiPXSPmBXD55cAv3LboCL/+GmRHV3Cwx9uQWwzZXhyGEW5AkRjSZmDgdDz/uz769Fj5OaUWAyYaiUWiVFEBUJ9etVtvQNFqFhD6hZO0upcuLN+EZ5Nuoz+cVFYDNZEUXFozvVT3xu6InVamHqNyRhr3ahHeXDnhEhaFoag6Bs+YXUfLtSnSBAbR6+XFsJWXkv/MpFetS8Lu6V42yflf3QhcahPGndXgmxBDy4J2Ux7WjPBviY/LPaIk56eh/1hFyRVt840Odx2xVFgo3HKZk93HS5vxAxLAk4u++Aq3+3EmJ1tuDLs+NZtvUReQfKee/T2znzvd6t8iNQsvyq3lnQRllZSozn2k5nwshGoMkMaLJqKrq+FWd5EHPmOaxyFtjUBSFAVPaUXH1IDyDGqfb4+R7CeDbOoSImffj2ToaRevosvGMj8ZyIo+K9dso+XI5qt2OR2QoXolt0Xdsg2/vy6jckQYqBNw0BABtoD8aX28sWXlnfU6vTm2x5hdRvmE75qPHnccO7dHTrsupViDVZkfRaqjONVK8NZ3u/7y9Rj1abw8iR3Qh5pZkqvPKOPzerxz7eCMJk6+p9TXrQ/3o8vxodj28mAO/5XN4YwHtrmi6gdJNpSzfxHtvlOPjq/DE0/5otS0vUROiocjsJNFkTp++a7e17FVJV+QkNloCYy6uZMcjX1C6NxuA9ONh6BNinQkMgD4+huDbryNq9jTi5j9P9HN/xX9QP6zFpZQs+QlrYQmWzBN4RIWhCw50nqcx+KJardhNZ84EUq02FA8P/Af0oWrHPqq2p2HJyObE397k8D7fU3st/fF3PvqfdQR2j8PQMfKMujyDfVF0Wnxigogc0YXSPVlU5xrP+9r920cQMao7AKvnH6rrW+ZWIjsa8PTRUlmhcuhgy5uxJ0RDkiRGNClVVVli7Inyx7+8pbN2tZips8a8ahbeu4mD6/NR1cZJ0qpzjex45HOMe7I4MPcnjmace6sGVVWdcXhEh+M/6HLCp91Jq5cfA40Ge5UJbZABRedIfuzVJrCroNWcMcAXcCQdl3fD9/LuaPx88OrYBs/WrYh58yk0Pl4cyw4n9asT7H3+O7ZM+pC8VWn4xAVjN5+5qaGqqs69mVAUTPllaPR1axiOHdsLvxA9bXqHtMhkWKNVaNUlEIBd2y2uDUaIZk66k0SjMptVqipVCgvttGqlRe+lOFtkTBVWVJuKT2DLWGJ9/UdHOPx7Afnlenq82fBdABXHCtk9Ywmm/HK0IYEE/t89Z4xzOd2fx4uoqgqq6jjHbke1WNF4ezkft+YWYK+owrNNjLP86XWcvG8zlmMvr8Qj1tHCougcXyPm4zkUffQ/7JXVKFoNGk8d5qIKbNXmM7YlUBQFc0klGZ/+TvmRfMKu6YBnoM85x9acTh/mT49FDzA4puH2bWpuYrsGcnRzITu3mxl7e8uciSVEQ5AkRjSab76q5J03yvH2UYhrrSUgUENSFw/KkysIifNF76vj5he6nb8iN1BRZGLzfx3bCsTd3qfB6y/bn8OumV9hNVbjER1O+GOT0AXXb0q68sesJNVuRxcSiK2sAltpmfPxqt0HUW029G3jHAdOzmQ66Y/71WmH0QYZ0Aaden5bSRnGH9fi3S2R0PvGUZmSSsU331Ow7iDR13dzDm62lpso2ZlB4e9HKfz9MP4dIomfcCWGxD+6nOqY+2l0LXsvpdiugQDs3CYtMULURpIY0ShWLK/mvbfKefxpf7y9FQ4esJJ5zMbqlSbKtx5i6F87Ygj3On9FbmL9x0exVNnw6xBBcJ82DVp38Y4MUv/+NbYqC55tYgh/dCJa/wuf8eR13PG+B/e4htKUTZi89qDodBi/X0PY8BswaBMgA0xxf+rms6uggao9B/Bs3QqNp4ezdcZ8PAfz0ePowoI58dy72MsrMYwaSNuOjvEvABmfbybr6+0E9YjDNyGM6Bu64d++5lYT9Zlt9POJjsQf+o1j24oY+tfE85/gRmL+SGIOHbRSXmbHz196/oU4G0liRKP4ekklo27wZti13gBcPQDMJpVdOyz8/ZVKPnlwC1M+uQIPL/f/RV1Zaub3xekAtB5/eYNP+z2xbBe2KgteSe0Im3anc92X+tJn1Oy280/qirW0mKLfVqLx8CDihlvxS+oKONaUOVn+ZDJzcuyM6UA6fv3/aG36o3XGkp2L5UQ+Xp3bEzJ5LKb96Rh/Xkdu2GA69QrAVmWmKqsYc2E5KAqRw5LwCLi4bpLqHCOfPLgF1Q6dh0UR3anlLJboH+pFYCtvbGXVHEu30fkySWKEOBv5ZIhG0bGTB8ZSe41jnnqF9E6XM+GDvngHeHB0S8PufuwqGz9Jx1xpwzchjJAr2jZ4/YlPjCDgpqGEPzKhwRIYcIxlCb56MPEPPk7clIfx79zNmYBVZ2dyaM7fsFVXo8/wxPOYB9bCEgBsxUZ8eiQ56vhjTI69rBJ92zgCrh+I1s8Xn+TOqGYL5kMZpB8PQ+vtScfpw+n76WRUq43NExay84kva+ztVF/eUQGEDXC0wKz+V8ubqTTlkyvYtCuCzpe1zEX9hGgIksSIRjFoqBdLl1TxyP8V89saE+VlpxIarU5Dzv4y/ELdf3+Y6jILGxcdBaD1HQ3XCmOtPNWVk5EXReCNg1E8am84Va1W7BVVNY7pMzzPmsCcj3dMaxKmP4PWy9H1ZM49QdZjL5Mx5e+oFivGFeupPph+avZTbCQ2Yzlag5/zmC4kyDFDymYj/bhjPRevCAOdnhpF308m4RXmT2VGUb1jO13c+MtRFNj7Sw45B84/RdudGMK90JxnkLMQlzrpThKNoktXDz75bwgfflDBpwsr+PE7DYFBGo55HKQ0p4qACK8W0fzv4a3luqe7sHpZOaFXtW+wevc8/T98E8LQXX8LSh0+pfZqE/lvf4o20J/QybeeM3GxW8xYS0scd04mXIoCKCgaBY/AU5srajwddaiqij4ymg7Pvoa5qJDqzHRK0jZhXLaakIlj0Ab64xEVjqL3pDrtMF6d2lK5dQ+mQ+n4DezjXL8m/XgY8TGOfYF0fl50fHzEBb03p/NtHULoNR3IX3OAjZ+mc9NzXS+6TiGE+5AkRjQKu10lqYsH0x71I2WLmdTdFgoL7Bw8kk/rHkH85Z/Jrg6xQWh1Grpf14r8Xg03sLTsQC6lu7Mwpp0gesBIdEG1Lz1vrzaR++oCzIczULw80V1zM3ifmcRYy8s49u6r2CrKz1qPxtubdjNfdN4vT9uNxlOPT9sOzmOewSF4Bodg6JZcY+CvZ2wkhhFXkf/eYlAUPONb4T/kCrw7N1xidy6RIy4jf82BFtM9eZKl2sb9fy0iL9fGZ/8LRe8lrTJC/JkkMaJRhYZrMRg0PDXbQEmJykptr/OfdInL+no7AD69u543gQEo/uIHzIcz0Ph60+ovU9B6n33ArM7Pn8A+V1L4609oPb1w9Pr8sVicqqLVeOJ/zHG/Ij+DE99/DEDk2DvxTzqzhUOf4VkjkfG7Mhm/K5OxFpY4tjkICz7jnNNbYxqKISkKRQNFmZWU5VfjH9YyZr3p9BrWrbNgNdnJz7MREydf10L8mXwqRKOw20GjgdfmGNn8u5lBw7wIClKwl6gtpp+/5EQV+9fkcqJ1L3wbaFa1ubiSvF/3AeA/9Mrzlq/afYDyXzcBEH3L3XjHnrkrtGq3Owfgtm4zlLjWg9Boa//oewdHExCbREn6bk588RH20bcR0OPM9W/+nMgA6EICzxt3Q9L56vFrH0mAZzUVReYWk8QoioJ/mBfFxyvJzbETE+fqiIRofiSJEY3i5EKyq1eaeGi6HwD/LenRYhIYgEMb8vnuhVQCLiuh+xvjGqTOE9/vRLXY8EyIRZ8QW2tZW0UlhQuWABDY96oa3T4nlab8Tun2LcTcNYWAE56UHNtDRYFj80YUUBz/Ayj4R7XDP8oxu8pmriIovhtaDy8KD24hd+nn2KurCep35iaNZ0tkatMYrTE93rqdYa0ONGidzYEh4mQSc+bWDUIISWJEI1BVR2tLRrqV3BwbQ0Y4fhm3pAQG4Nj2YgACLmuYHbntFhvZ3+0EwFCHVpjiT7/DVmLEIySM0KHXnfF40bpfKfj5OwBMv2yiUO9D+prF56xP0WidSYylopSjqz8lpOPlhHe+hrzUteT/+DW2qkpCBg4/YxZWfRMZAFuVGRQFrdfFTyFWtC1zouXJBSHz8iSJEeJsJIkRDc5mA50OPvu0kt59PfHx0TTahoiulLHNMT3Y0KVVg9RX8NsBzIUVaAP88end5bzlfXp1oTrtEJE33+6cSQSOJLLwlx8o+m0lABGXDSQs6SpUm5XCg1vwsfniofvTmBhUQs3hBBw2AaAYHf8t3P87gfHdiOoxnBPbf6Jo9c/oI6Lw73xx20XsWrAP47e/0GbCFbS6qedF1XU6U6UVrYcGnUfLSGoM4Y5lCHJz7OcpKcSlSZIY0eD+mFHLD99W8eTfzj8w1R2VFVRTmFGJokBAUlSD1BnQNYa4v/SljDDnpoq18UnuTEBgFzQep1oyVLudvO//R+mWDQBEJ19LZLfBKIqCovOgV/u7UZTzX+ANhhg6J41j774vKUnfid1qIqbvDZRWZ+HX6bKznlOf1hjFwwNbhYmsr3cQfWOP8276WBdv3n+Aoo2HuPO93rS/Muyi62sOTrbESHeSEGcnSYxoUCf30jl80EJBvp3Bwxxfwg29FL+rHdvm6ErySQhD59cwA0n1of60uecq58JwZ6OqKvaKSrR+vo61YE7riVGtVnKWfkbZ7u2gKMT0vRFj5l6OmyqJ6XM9vvtL2LP/fxjLsv8YBnP630Shb++/otU6Kjx0eDmVlfl06jCGtINLMR7fh91iImHIPVT/MeBJtVodXYenJVF1TWR8r+hB6Vc/UpVVTNGWo4T0TajPW3VWWi8P7DaVY9uLWlQS4+OrOH8YCCFqahltrqLZOJmsrP/NzKgbvNF7KS2yK+nYH11JAQ3UlXRSbQkMQOWmXWQ/+RoVm3ed8Zi13EjlkYOg1RLffzylGakYsw5QsG8jnnuy2b5jAfkFezGZSqg2lVBdXXzarebKuSazkYLCNI4eW0m3zneh9fSiPPcoh37+AL90G6rdTs7/FnPiy4/PGmfVnoNUbNl9zteh8dLje7VjtlPW0u3ne1vq5GS33rGUi1sFuDnpPDyKbWmRvPrPIFeHIkSzJC0xolHcMcGH6mpH8tLSWmEAirMcy/v7tgltkPpyftqDpawaa/t+tU5RrtpzAHtFJZatx+C6mmvueAQG0+quKXgeKcMnJIb01Z8C0OOye/D09KdN/CAsGen4aYPw0OhRT1sjRgW89p9w/q1am1tTqOylqqoQjUZLz66T2XXgM1BVLJVl6HaUU7ZnBwB2s7nGmBzTt7vI+99ifPp2w7f32bueAHz7dce4/DfK9ufU/w07C78Ex9/i5N+mJWhpg+GFaGhu1xLz7rvvEh8fj5eXF3379mXz5s2uDkmchUaj4OPjdv+86mzEY524/7MrG2yrgcwvtnBk3hqs+edpRTi5V1Hg2X+Ze0XFEBCTCOrJgaAKAQFx6HR6wsI6E+/TlVB9LAEe4QR6RDhunpEEeUbWSDaDPaPRaxyL5qmo+PtFcWXPR+l048N4+gbgFXB6i1HNljZbdVWNWM9F8WjgjQ01LfffmxCuVFRUxPjx4zEYDAQGBjJp0iTKy8++8vdJ8+fPZ8CAARgMBhRFoaSk5Kzlvv/+e/r27Yu3tzdBQUGMHj26XrHV+1N/9913s3bt2vqe1iC++OILHn30UWbNmsW2bdvo1q0bw4cPJy8vzyXxiEtXaGtfYi4LxDPw7KvjutrJLry6DOKtQ20NUIe4EMXZldwxtpD7J7acLjLhfsaPH09qaiorVqxg2bJlrF27lilTptR6TmVlJSNGjOCpp546Z5mvvvqKO++8k4kTJ7Jz507Wr1/PX/7yl3rFVu/upNLSUoYMGULr1q2ZOHEid999N61aNey4gHN5/fXXmTx5MhMnTgRg3rx5fP/99/znP/9hxowZTRKDEM2RqqocfeMFADpf96izJUZxDOHFbC6nqPgQ3qZywvRnrupbe+X1fPxkg855WmI0fj7E/aUvGk/p1T4Xa7WdrZvMBARKt5JwjbS0NJYvX86WLVvo1cvRhf32228zcuRI5s6dS3R09FnPe/jhhwFYvXr1WR+3Wq389a9/5dVXX2XSpEnO40lJSfWKr94/077++muysrJ44IEH+OKLL4iPj+faa69lyZIlWCyW+lZXZ2azmZSUFIYMGeI8ptFoGDJkCBs3bjzrOSaTCaPRWOMmRENIXXGC3/5zmPIjDbvybN396aKmqlhLirGWFINqPzWY+o8uoorKPPam/Zd9ZWf/rNT+HI66Nm15i92fv4DJWHjm818ArcGPNvdcRes7Lr/ougB0fnoSB0bQtl/DjFMSwh39+ZpnMpkuqr6NGzcSGBjoTGAAhgwZgkajYdOmTRdc77Zt28jKykKj0dCjRw+ioqK49tpr2bNnT73quaC25rCwMB599FF27tzJpk2baNeuHXfeeSfR0dE88sgjHDx48EKqrVVBQQE2m42IiIgaxyMiIsjJOfvAwDlz5hAQEOC8xcbWvoy7aBw7t5tZvbIaY261q0NpMNu/Oc5Pr+9rsEGpDUtB6+FJWNKVtIp2zABST7bM1GOQdahnDGGhnfHw8AXAZCrBXFGMaq/jmiVN3AvlExPEHW/34qZnz9ysUojmzDPTE33Gxd08Mx2D62NjY2tc9+bMmXNRseXk5BAeHl7jmE6nIzg4+JzX3ro4cuQIALNnz+Zvf/sby5YtIygoiAEDBlBUVPfu04vqMD9x4gQrVqxgxYoVaLVaRo4cye7du0lKSuKNN964mKobxMyZMyktLXXeMjMzXR3SJemfc8u4f2IxR7YUujoUt6c1+KGLCEXr7V3zgdO7bhQFnZcfcf1upn27UX887EhiNPX4yHcyXMVlXcbj5xd5suKTT+aoy8MLjf7MNXKUOrbSqFYrlceLqMoqrnNMQojaZWZm1rjuzZw586zlZsyY4VgEs5bbvn37Gi1Ou93xnfT0008zZswYkpOTWbhwIYqi8OWXX9a5nnp3RlssFr799lsWLlzIzz//TNeuXXn44Yf5y1/+gsHgWJ116dKl3HPPPTzyyCP1rf6cQkND0Wq15Obm1jiem5tLZGTkWc/R6/Xo9foGi0EIVwu6bSRBt410LHRXD86WmAaakKjRedDjrhcpa31mwuIVG0/grdfiEVF7t461oJgtMxai9dVz1TdTGyQuIS51BoPBeS2uzfTp05kwYUKtZRISEoiMjDxj8ozVaqWoqOic1966iIpyrHR++hgYvV5PQkICGRkZda6n3klMVFQUdrud22+/nc2bN9O9e/czygwcOJDAwMD6Vl0rT09PkpOTWblypXMKlt1uZ+XKlUydKl+Awr11fGw4tmoLRb4X+KVQYxCtgmq3Ya2uwGy24unpe0HdSedapPB8vURe0TEol4efp1TDM+7LYdaIHwhs5cMj3w9o8ucXwp2EhYURFnb+la379etHSUkJKSkpJCcnA7Bq1Srsdjt9+/a94OdPTk5Gr9ezf/9+rrrqKsDRSJKenk7r1nWffFDvJOaNN95g7NixeHmde6n1wMBAjh49Wt+qz+vRRx/l7rvvplevXvTp04c333yTiooK52wl0TydvG6q9hY0VfePF2U3N8yeNoYkxwj/0uPnn7Kt2u1UHjmIT8Jpa9QoimOdFLud8pzDeAWEk/rVywB07zrR2QJTbi0mozKVaK/26DSO1pxKm5FyaxGqakdFRcWO1W4htWwN5EGP7vdit1mx2hwDBDUaLUVHtkP31ngQcsGv2V7hWE+mIfZNArBbrNisKnZby9ksUaNTCApumRuoCvfQqVMnRowYweTJk5k3bx4Wi4WpU6cybtw458ykrKwsBg8ezMcff0yfPo5xeDk5OeTk5HDo0CEAdu/ejb+/P3FxcQQHB2MwGLj//vuZNWsWsbGxtG7dmldffRWAsWPH1jm+eicxd955Z31PaTC33XYb+fn5PPPMM+Tk5NC9e3eWL19+xmBf0bwEBTsuoBVFddsc0B2EJ/ix79dcyg/lnr9wA1ItVnLnLsC0/ygxEx5wJjKKVktg36upOnYEpW979Cc8CYjtRGlmGjv3fEynDjfj6xtJRUUOe8vW4tU2kcBAx0D3E8fXc/DQj2d9PoN/DH5+0fy+7Z+g2gmI60xJZhrHf/8aj50hxE15GK2Pr7N8VeYx8jf+SMjEm2tdeRig/LetAAR2b5gB9+X7HX+L8Lb+DVJfcxAS58vGHRFYLJLECNdZtGgRU6dOZfDgwWg0GsaMGcNbb73lfNxisbB//34qKyudx+bNm8ezzz7rvH/NNdcAsHDhQmc31quvvopOp+POO++kqqqKvn37smrVKoKC6r7Nhtst0DB16lTpPnIz4RGO3evK8lvO7KS4Ho4PmTE1u8HqzF2ZRtHSRfhPuAOPyLOPJ1E8dHhEhWHaf5Scrz+n9f89jvaPVtGwETegmk1o9F6Ux0PC4AkcXb2IkvRd7N2/hPZtR+HlFcShwz+gaE7tKKj3NGDwj/1jMJ8GFA2KosHXJ5SENsOp6GigXcg95O1dj6dfAMd//xoA3w5JaLxODTC2m83k/G8xlsJ8Sr9ZScg9Y875Wm0VlVRu3AZAq5t6XuQ751C6JwuA1j2DG6S+5sTDQ9aJEa4THBzM4sWLz/l4fHz8Ga2Fs2fPZvbs2bXW6+Hhwdy5c5k7d+4Fx+Z2SYxwPxF/JDEtaYp1fK9g7prXm7huQfxW0TB15q3aR9m+HFi5geDxN5yzXNC4UVSnHsKaX0T+8q+JHD0OcIx3UU6bLZSZtRad3oeQDn0pPLCJg4eW0S7hWvr1nV6jvvDwywgPP3OPo6qqYio6OgYIeodEo/X04sT2FQCEDBxO8IBhNcbYFKz8AUthPtpAA4G3XVvray1fuxW7yYpvQhgBl138Ypmqqp5KYnrIZolCXCokiRGN7vKrPPn78wZOxMW7OpQG4+XnQYer/hi82kBJTKubelC06QiV67cSePMwNN5nH3em8dITcu9Ycl+aj3HbZvwSL8MvsXONMuaCPAp++QFUlaA23Qnv0p+8PWs4dORHjGXH6dL5dgDKy09wJH3laQvkqaiqis1mpqzyBO3DpuAbFsexdV9SeHALAGHXjiao3zU1nq/y6CFKNjq2Iwm5Zwxa39rH9lT+vtPxmkd3b5ANQquySrCUVKLz1NCqS8BF19dc/Pafw3y/qZBbbvdh1A3e5z9BiEuM7JgmGl3HRA/G3+1LfHLLa+ZvSEHJrfGJC8ZWaaZ8XUqtZb06tsEw/GoAcr/9L7aKmpuxeYaGEzX2TtBqKT66g+qSXKJ6jEAfEIZH61hK2+opbaunOMxCQcFeCgr3UVi0n8KiAxQVH6TUeAy71UxFfibZKcsdCYxGQ+TNt5+RwNhN1eQs/RwAv/598O7a8byvtc+7Y+jw6FDCB3Wqz1t0TsY/WmFaXRaIzlN7ntLuIyu1lI3rzRTktZzBykI0JGmJEeICleZU8ftnxziUe5wODw85/wnnoSgK0Tf24NDbKyn7ZSP+g/uh1LIzc+DNQ6navR9LVi55Pyx1JC2n8e/SHY3ei+zPP8R4fB82SzXtr70fW/WpwXdeAeHEXXkLoPwxS+jkuBgFr4BwfMNiKQ4pxzM3jdBBI/DrdGa3U/5P32ItKUIbGkTQuFF1eq1aLw+iRjbcyro+ccH0HdeasLZ+DVZnc3ByHFl4hPzeFOJs5JMhmsS2LWZ8Vq/HXGl1dSgNxmZV+W3BYfKW78JW3TD7hkUOS0Lrq8eaW0D17gO1llU8PQidciue8a3wG3v1Wcv4tk8k5u770Hh5U5GbzuGfF+Dh45i9o6p2NFotga0vI7B1ZwJikwiIScTQqgN+EW3wCY2hrLWCzs+f1g9MP2sCYzeZqMx2LB8eOukWNN61Ly5pN5lp3arhd503JEVz/d+6cPnt8Q1etysZ8xxJTERky2ldEqIhSUuMaBL/d28RJcUqU7+qJLLj+VeTdAdBrbzxD9dTlmeibH8Ogd0ufqqw1tuTqGu7cHxJCsYVG/Dullhrec/WrYicNRVFUTBhPutKvt5xbYi950GOf/wvqoqyya3aT0Bib6xlFRx5dfY564648VYC4h2bM56rRcjSXiFq9jSq9hzAq1Pb876+4s+/p/DwQdo+MJDg3vHnLV9XQyMbb3l0V1FVlbI8x9o80hIjxNnJJ0M0iZO/JE/+smwJFEWhdQ/HOJ/S3ccbrN7oG7oT2COOtmPrNl7k9IGxRdlbKFj5I3ZzzTV59JHRxE6aStiomwjo0fvkiWerzLlwXvHvv2E3n7kDrmq1UpryO9Wt/lisztMDn56dzyj3Z7aSMio3plCZUYSmAcetVBwrJGN7EdYGWniwuagyWrCaHWNhTi5TIISoSVpiRJOIjdOyP81K/pFyOlzd9EvSN5Z2/ULZ89MJTvywm9jb+qDxuPiLjXd0IN1edaxYWV6P3MicmUPBB1+AzY5x51bCRtyIX6fLnEmOZ0gYniGnlhnX+vrRfvZc+GOzt7qoOLSf/B+WYi7II9hgwn9wvzqdp1pt5L+/GHu1Fb/24QR0jan7CzuPQ2+vZOuOTK6akMCIxxpmoHBzkHfYMVg7PEKDp17WiRHibKQlRjSJrt0d3RyZu0pcG0gD63ZdK/xC9Zjyysj9ZW+D1x8fk0/ljjTsVedvwfKIiSD0vnFogwOwlhRz4vMPyfp4PuaCs49BURQFRaOpUwJjKSki+/OFZH38L8wFeWgMfmjOM436JNVqo+DfX2LafxStjyednhrVINOqwdECVrIjE61O4fLx8Q1SZ3NRWWwmLExD1+4erg5FiGZLWmJEk+jaw/FF3NKSGA8vLVdPTODHV9PIWLyJyGGdUbQN99sg/7eD5L/1HZ5x0YRPvwetv+85yyqKgm+frnh3S6R02a8Yf1xL5eH9pL/7KkH9riGk/1A0+nPveXY2douF4vW/UvTbL6gWK2g0+A/uR+DoIWh8z79uid1soeC9xVTtSEPRakicORKf2Iaban/s098B6HFTLIFRLWsdlaTBkfx9dDhVVbLlgBDnIi0xokl06eqBRgOlJ6pa1PYDAL3HxhEU40PvkaENtiHkSV6RBjz8vTCnZ5E7519Yi0rPe45G70nQmOFEv/iIY2CwzUbx72uxlpfV+/lzv/mCwlXLUS1W9IkJRD33EMHjr69TAgNg/HENVTvS0Hjq6PzsjYT2O//g37oy7s2mOOUYGp1C/3sbrt7mRFEUfHzka1qIc5GWGNEk/Pw0tOug48A+K5m7SkgaHOnqkBqMp4+Oh5f1R6vTsCKnYZv+/dtH0P2N29j15BJM2XnkvPg+EU/ci0fE2fdWOp1HRCjhj0ygckca1vwi1B4BmDCj2VVOxvx/wp93Rv7jviG5L2FDr8MUZ8ZvzFVUZh0h6NZr8enTtd7dQF0ndyYt/xitbu5JYAOOg4FTrTDdr29FUKu6dW25C7tdZWzANkDGwghRG0nxRZN59El/FnwaTNvLz38BdjdaneOj1BhTfX3iQuj+5u14twrCVlhCzovzMGeeqPv53TthGHql874p0oStvAxbRXnNW2UFtsoKrJ5VmOIcs5s8W0fT6pXH8e3brc4JjK28AlVViY/Jd7TAzL6hwROYsgO5FG0+ikar0H9yuwatuzlIW5nD1b3ymPOc0dWhCNGsSUuMaDIDBjvGY5wwtsx/dqqqcmRzIQe//oV2Dw1usMGrAF4RBrq/eRu7ZnxFxeF88l+eR8Szj6ALCax3XbrgAKKef/jUgdPDVJQzuooUbd1nXFnyCsl95d9EDUhAva9/g74Hp7NVWwhv50dUYgAhceceJ+Suju8uoSDfTmWFbDcgRG1a5tVECBeoLrOyaOpWzFU2gvu1JaRPmwat3zPIl+6v3crup5fi3yGCtl3NHMuqfz2KTodnbMN355mP55D36gJspWUUbDhM6zsuR+dXv4HEdTV2WDn2Ide0qBWgT3dyAHz3nmcuXiiEOEW6k0STWr2ymqNvr6Ygvfy8Zd2Nt8GD3rfGAZD52aZGeQ6dnxddX7mFtg8MRFEU4mPyUc0Ns+XBxTAdOkb+y/OwlZbh2yaUHm+Oa7QE5iSNRsHLr+VNP7ZZ7WSlOgZwy/RqIWonSYxoUh/9u4IF/6rg4Lp8V4fSKK68OwGth4bS3VlkL9vVKM+h1Xv8sVkjqDY7xW+8R+GHS7FXnbm6bmNTbTZKvl3pmDlVVo1/pyi6vXYrnsGN08VTtPko5oVfYbO23G6W7L2lWKps+PopJLSTxnIhaiNJjGhSJ8fF7F5e94Gp7sQQ7sXAB9oDcPidXyjekdGoz1e8I4OytBOUr97E8Uf/QeHC/1F98Bjqn2ceNZKC9z+n9H8rUG12Qq/pQLdXbsHD0DjrtVQcK+TAP75l46J0Nn12rFGeoznY85Pjs9F/oB6tVmYnCVEbSWJEkxpxnReKAhk7iinOqnR1OI2i/+S2dB0Zjd2qcvC5r6k8XtxozxWcHE/XuWPxbhWIWmWifM1mcl98n+wZr1H63a/YjA3XbWcrr6Rs5UZspWXEx+QTH5NP7MBoPAK8SZw5kqS/X4fWu3HGcFhKK9nzt6WYyq3E9wqmz7jWjfI8rma3q84Ef9SNLWvxPiEag7RViiYVEamlTz9PNm0ws+vHbPrf2/KmxyqKwk3PdaXoeCXHd5VQuP4QPrf1brTnC+oeR++F91C66zg5K1LJX3MAa24BJV/9RNuh4RRw/s0Zz0W12qjavZ+K9duo2pmGarER6FsCnXsBED4wkfCBiWg8G++rxG6xkTr7W6pPlBIU483tbySj82iZv79sZjv33KVjzSoPru6vd3U4QjR7ksSIJjfqBm82bTCz+4eWmcSAYzuC8W8lc2h9AT1u9GdFTuM+n6JRCOweS2D3WNpPHUT+bwcp3Z2FX7tw/HCMPzr0zipKi3ToO8aDUjMJ0Pr74n1ZB+f9yq17qD5wlIrfd2I/rTXHr20Y+hA/5/3GTF7AMW394JsrKN2dhd5Px53v9sY3qOXO2PHw0nL/NH/un+bv6lCEcAuSxIgmN2ykF8//vZScA2XkHS4jvG3L/ML2D/Wix42ORd6GRu7j56wODbqv0rlovT2JHNaZyGGnWmBsVWZOLN+DvdpC+dotZ5xj6BxNp2uDnPc3Tl+KubACAI9AH8IHdyJyWBJ+bZt2B/LjS1LI+SkVRQO3vdqjxf5bEUJcGEliRJMLDNRw5TV6Dh6wYsytviQuTBXFZjKe/giPK3oQfUP3Jn9+jd6Dy/5xM7kr9mLKO3MVWJ/WITXuB3RphaLVED4okaBe8Wh0dV/wriH161LBcW8tQx7qSIermzaBampZe0poX5BK1VAvvL1lQK8QdSFJjHCJl98IxBCg8FVZmKtDaRK7l2eTvrUIzfZVeLcKIii5aQemKhqFwK4xdV7+P+nv1zdyROc3NHIfREbw0Lf9CYhs3DVnmoONi9J5/7sS7rrHh6dmB7g6HCHcQsscHSeavYBADYqicIthm6tDaRJ9x7Wm23WtsNtUDrz4NZXHi1wdUrNlLq6kOufUbt2BUd6Ntn1Bc2GptnFgVTYAI66TWUlC1JUkMcKlzGaV3ENlrg6j0SmKwuhnLyO2WyDVRit7nl5a40ItHCyllez5+9fseehjMnc13tT05mb/mjwqK1SiY7T0SJZVeoWoK0lihMsc3G/h6uRcFt75G9Vlrl86v7F56LWM/2cvAqO9qcoqYecDH5K3er+rw2o2ircdY+uUjynbdwKb1d4itxQ4lw2fHAXghptafquTEA1JkhjhMm3b6wgL11JeprLly8Zd2ba58AvVc+9H/RwtMmVWCj9bjd1ic3VYLmW32jiy4Dd2P7kEc2EFYQl+TP7oCsIS/M5/cgtwbFsRGTuK8fCEv9zl4+pwhHArksQIl9FoFCbe59hj5/fF6S16P5zTBUZ5c+9H/Rh4f3tufbUHw2MPujokl6nKLmHHw1+Q+dlmVBV6jY3jgS+uIqJ9y5+xdtL6jx2tMKNv9iY8wjWzwIRwV5LECJe67gZvQkI1lOZUs7exV4RrRrQ6DYOndiCygwFwzMTx+ekHji/d1mT7HjUHHitXUbbvBF4GHeNe78noWZfh6X3pXMhtVjtBZscg77vvbZxNM4VoyWSKtXApvZfC7Xf68M4b5az/+ChdRkRdkmMC8g6X8dMb+7Bb0yhOOUbi48PxCGjZXQtDI/dheagj1eVWBtzXjqDolv16z0ar07Dg0xCOZ1iJiZOvYyHqS1pihMvdfqcPnno4vruEzB2XzoyU04Ul+DHyiSR0nhqKfj/C1ikfU7y95Y0TKjuYy/65PzE4LA1wDHa+6dmul2QCAziXGJAERogLI0mMcLmQUC3Xj3asjXF4c6GLo3ENRVG4/C/x3Lf4SsLa+GIurGD3E19y9D/rsFvdf+Cvalc5/lUKOx9aTM7yPc7ZOJeyY9uKyM9z/7+tEK4kSYxoFh6Y5se3K0J59/GWv2ZMbaISDTzwxVX0uiUWVYWMxZvY+egXrg7rglmMVWQu2cqWif/h8PursVnsdBoUQc/RdVs5uKWyWe3898kdDOqXx6aNJleHI4TbkjZM0SxIc/opnj46Rs/uSrt+YSz7Ryp9hxroH7kPgJ8y22Pcm01A15hmPXZItasceGMFBatSsZocs868/HUM/WtH+tzWulnH3hT2/pJD6YkqgkM0dOvRcnflFqKxSUuMaHZ65G6i5ESVq8NwuS7Do3jsl0H0Gx/vPBaduoad0/9LyuSPyV62C1tV81kkULWdmiI/LHo/QaY8rCY7UYkGRs++jCdWDqbvuPhLPoGxWuz8+r5jWv24O3zw8rq03w/R/BUVFTF+/HgMBgOBgYFMmjSJ8vLyWstPmzaNjh074u3tTVxcHA899BClpTVXKc/IyGDUqFH4+PgQHh7O448/jtVqrVds8vNXNCtf/beS2TNLaXtVKne83cvV4biczkMDHqd+a5QXmPDw1lKRXsDBN1dw9N9riby2C9HXd8c7OtAlMZoKyzmxbBcnftjN1EW9CY5xDNIdPLUD10xqS0zXwEs+cTnd+o+OkHe4nKBgDXdNkmnVovkbP348J06cYMWKFVgsFiZOnMiUKVNYvHjxWctnZ2eTnZ3N3LlzSUpK4tixY9x///1kZ2ezZMkSAGw2G6NGjSIyMpINGzZw4sQJ7rrrLjw8PPjHP/5R59gU9RJalMJoNBIQEMDW1Aj8/KURqjk6uN/CTdcWYLXCX/6ZTNLgSFeH1OxUGS1s+zqT3xcfo/h4JQCKAobLYuj22q3OhEFV1QZPHlS7SlV2MWX7cyk7kEv5gRzK07KxWR1fIwPub8eQqR0b9DlbkqLjlbw3+leqq+Gl1wMYfculOSvLHZSX2enVOZfS0lIMBkOjPMfJa1Lbp/6B1uvidmq3VVdz+B9PNXi8aWlpJCUlsWXLFnr1cvywXL58OSNHjuT48eNER0fXqZ4vv/ySO+64g4qKCnQ6HT/++CPXXXcd2dnZREREADBv3jyefPJJ8vPz8fSsWzertMSIZqV9Rw/uuc+X+e9WsOwfqbTtF4reR/6Zns7b4MGVdyXQ7442HPwtj42L0jm0oQCDUs6wqFN7Mb08dhuKVoN/hwj8O0bi3yEC71ZBKJq6JTaqqlKdYwRVdbbyVBzJJ+X+T84oG9c9iH7j40kaIknnuaiqyrIX91BdDX36eXLjGNmtWjQ8o9FY475er0ev119wfRs3biQwMNCZwAAMGTIEjUbDpk2buOmmm+pUz8nkSqfTOeu97LLLnAkMwPDhw3nggQdITU2lR48edapXrg6i2XngIX9++Laa45nVrHr3ANc+nuTqkJoljUahY/8IOvaPoDi7ksriU+NjzJVWyvefQLWDcU+W87jWxxN9qB9BvdvQ7oEBgOPiunXyR2fUby6qwGqspudNMQx9vhsAthA7qQYdYW38aNU5gOjOgcR2DSSszaWxz9HFUO0wvHcVWdsVZr8YIF1swsk/U0XreXGdIjaz4/zY2Ngax2fNmsXs2bMvuN6cnBzCw8NrHNPpdAQHB5OTU7dV1gsKCnj++eeZMmVKjXpPT2AA5/261guSxIhmyNtb4ZkXDEy5u5jfPz1K9+tbEZUY4OqwmrWgaB+CTmvV1Xlpmbb0GrJSS8lOLSUrtZQT+0qxVJqpzCgioZOeoX/MeFJVlbXpZ1+fR6tTsJpPDdjVemh46rdhaLRyAa4vjVbhwYf9ueseX/wN0p0tGkdmZmaN7qRztcLMmDGDl19+uda60tLSLjoeo9HIqFGjSEpKuqhk6lwkiRHN0jUDvRgxyovl31fzzbN7mPLpFXLhrAeNRiG8rT/hbf3pcYNjTRab1U7+kXIqS8z4BtX8YrvnP33PqMPLz4Pwdn7oPGvuZSR/h/pTVZWxAdsBJIERjcpgMNRpTMz06dOZMGFCrWUSEhKIjIwkLy+vxnGr1UpRURGRkbV3H5eVlTFixAj8/f1ZunQpHh4ezsciIyPZvHlzjfK5ubnOx+pKkhjRbM2cZSBli5nbb7D9sSmiXDwvhlancW44eTpFUUjoE+qCiC4N2XtLWf3c77R/IYDuPWVNGNE8hIWFERYWdt5y/fr1o6SkhJSUFJKTkwFYtWoVdrudvn3P/PFzktFoZPjw4ej1er799lu8/jRwuV+/frz44ovk5eU5u6tWrFiBwWAgKanuQwjkJ4FotiIitaxcH86k+/y4LXiHq8MRot7sNpVvntvN3j1WPv5PhavDEaLeOnXqxIgRI5g8eTKbN29m/fr1TJ06lXHjxjlnJmVlZZGYmOhsWTEajQwbNoyKigoWLFiA0WgkJyeHnJwcbDbHVhvDhg0jKSmJO++8k507d/LTTz/xt7/9jQcffLBeA5GlJUY0a576U60v5korHt5aGRAp3Mbvi9PJ2lOKn7/CjL83zjRdIRrbokWLmDp1KoMHD0aj0TBmzBjeeust5+MWi4X9+/dTWelY8mHbtm1s2rQJgHbt2tWo6+jRo8THx6PValm2bBkPPPAA/fr1w9fXl7vvvpvnnnuuXrFJEiPcwu6dZv7zf7/Qc2In+tza2tXhCHFe2XtLWfHGXgCmz/AnPEJ7njOEaJ6Cg4PPubAdQHx8PKcvOTdgwADqsgRd69at+eGHHy4qNulOEm5h80YzxzNt/PjSHo7vLnF1OELUqrLEzOJHUrCYYdBQPePukEXthGgMksQIt3DPfb4MGa7HYobPHkmhotjs6pCEOCu7TeXLJ3dQklVFbJyWOa/JtgtCNBZJYoRbUBSFOa8FEp+gpTSnmv8+vh277ZLZMUO4EYvJRpSnES8veHt+EAGB8jUrRGORT5dwG/4GDW//Kwhvb4XDvxfwy9v7z3+SEE1sfOQu5i0M4rOloSQmeZz/BCHEBZMkRriV9h09eOFVx+q9a/99mP1rcl0ckRAO1eUWxvinAI7FBjt1lgRGiMYmSYxwO6Nu8ObuSb70H6Rn6tWZrg5HCMxVNv5910aefryU6mrp5hSiqcgUa+GWHn/aH43G8YsX4/nLC9FYVFXlm2d3k3OgjDVFGkpL7HhFynRqIZqCtMQIt6TTKY4EBhjjn8KhDfl1WpdAiIa26bNj7FyWhVYLb7wXSIQkMEI0GUlihNubNdPIh1M2s3xumiQyoknt+ekEP7yUCsBjT/nT5/K6L5cuhLh4ksQIt9eth2MA5fqPjvLr+wddHI24VOxfk8uSJ7dht8Mt47yZcK+vq0MS4pIjSYxwe2Nu8+GpWY59aVa9d5B1Hx5xcUSipasyWvh6ZgpWK4y8wYtn5wTIgnZCuIAM7BUtwl2TfKmstPPmq+Usn5uGh5eGvuPiXR2WaKHujNlNwntB/O/LSl56PRCtVhIYIVxBkhjRYtw31Y+KcpUP3q/guxdSMVfauPqetq4OS7QgFpON28N2AnDlNXquvEbGwAjhStKdJFoMRVF4dIY/Ux70RVFgWEKOq0MSLcien0/wr+t+5ugRq6tDEUL8QZIY0aIoisKjTxpY+mMoo27w5hbDNleHJFqArV9l8N/HtpFzws6iDytcHY4Q4g+SxIgW6fQ9a66u3MIPL+/FarG7MCLhrtYtPMzXs3Zjt8PYcd7M/GMQuRDC9WRMjGjRbDaV+ycWkZaaR/7Rcm5/IxlPb1mMTJyfqqqs+Od+1v77MAD33u/L9Jn+MgtJiGbELVpi0tPTmTRpEm3atMHb25u2bdsya9YszGazq0MTzZxWq/DoDAPe3goH1+Wz8N7fKSuodnVYopmzWuwsfWaXM4GZPsOfx54ySAIjRDPjFknMvn37sNvt/Otf/yI1NZU33niDefPm8dRTT7k6NOEGru6vZ8GiYAwGhcydJbx/23qy00pdHZZozlQVMnPRaODZOQFM/j8/V0ckhDgLt+hOGjFiBCNGjHDeT0hIYP/+/bz//vvMnTvXhZEJd9GzlydffBvK/00q4ujhav5z5zpGv9iTLsOjXB2aaIbGhe5k6Pwg9u21yjRqIZoxt2iJOZvS0lKCg4NrLWMymTAajTVu4tLVJkHHF1+HclV/PdXVsGvhLmxWGewrHHYvzyb7gzXOGW0hoVpJYIRo5tyiJebPDh06xNtvv33eVpg5c+bw7LPPNlFUwh0YAjTMWxjEe/8sZ+ztPkQF72CJsaerwxIuVFlqZtk/Utn1fTYA3Xt6cM1ALxdHJYSoC5e2xMyYMQNFUWq97du3r8Y5WVlZjBgxgrFjxzJ58uRa6585cyalpaXOW2ZmZmO+HOEmdDqFh6b7ExXtmKV0i2Ebx95dzW//OYzdJrtgX0r2r83j7dFr2fV9NhoN3DfVlyuultYXIdyFS1tipk+fzoQJE2otk5CQ4Pz/2dnZDBw4kCuuuIL58+eft369Xo9eL19IonZpqRY+eL8C2Efar7mMebEbIXGyI3FLVl1u4YeX97Jt6XEA2rTV8tLrgXTr4eniyIQQ9eHSJCYsLIywsLA6lc3KymLgwIEkJyezcOFCNBq3Hc4jmpnEJB0vvBLAP541krG9mHlj1jD40ST63NYajUam1LY0qqqy8N5NZO0pRVEcm4c+8oQ/Xl7ytxbC3bhFJpCVlcWAAQOIi4tj7ty55Ofnk5OTQ06O7I0jLp6iKNwyzodvfw6l7xWeVFWpLHsxlQ+nbKLkRJWrwxMNbGzAdmY8pCEmVsvH/w1m5jMGSWCEcFNuMbB3xYoVHDp0iEOHDhETE1PjMVWVMQyiYcTE6li4OJhFH1Xy2hwjR34vZPHENdz33TC0Hm6R74tzSE8pwlRu4enrswAYOsKLawbo0UvyIoRbc4tv5gkTJqCq6llvQjQkjUbhzom+LF0eRreeHjz8mB+3hexwdVjiApUVVPP1s7v5990b+e5vKRTk25yPSQIjhPtzi5YYIZpamwQdi78K4eTQq1sM2/j2f5UsWuHL4GkdCY7xcW2AolbVZRbWfXiETR8fpqrK8WNn6HAv9HpJXIRoSSSJEeIctNpTFzybTeWt18o5nlnK3p+z6XVrPAPua4dvsMx+a04sJhubvzjGmvmHqCyxANCthwePPeVP777ytxKipXGL7iQhXE2rVXjrX0FceY0nFgtsXJTOWyNX8uu8g5gqra4OT/yhKKOS5a+mUVliIaGdlrfnB/H51yGSwAjRQklLjBB1lNTFgwWfhrBxnYm5c8pI3W1h5TsH2PTZMW74exeShkS6OsRLjqqq5B4sI7KDwbFdQDJU3edL6zY6bhrrjU4n3UdCtGSSxAhRT/2u0vPld5789H01b7xSRsYxE9e2OsoxJIlpKqqqcmxbMT+/uY+sXcUsWxkGBsfX2WNPGVwcnRCiqUgSI8QF0GgUrr3em8HDvVi32kTvvnp649g4cMqzPtjtKsk3xRKW4OfiSFuW8kITO5dlkbI0k7xD5QDo9ZC620KbBPk6E+JSI596IS6Cp6fCoGGnNgusqLCz9fMjVFaorFt4hLjuQSTfHEuX4VHofeXjdqHK8qv57oU9HFiTi/WPIUh6Pdw4xocHH/YjIlLr2gCFEC4hA3uFaEB6vcKr/wxk4BA9Wi1k7Chm6TO7eG3gz/zvbzs5vrvE1SG6DVPFqQHT42NSyUrJw2qFrt09mP0PA+tSInjupQBJYIRoZEVFRYwfPx6DwUBgYCCTJk2ivLy81vLTpk2jY8eOeHt7ExcXx0MPPURpaelZyxcWFhITE4OiKJSUlNQrNvlpKEQD0ukUBg/zYvAwL/JybXzzVRVf/beS9CM2tn19nCvalMBl/QHHuA5FkYGnp6sut7B/TR5bl2Rgyytl+ZqwP/avUnjhlUBat9HSoaOHq8MU4pIyfvx4Tpw4wYoVK7BYLEycOJEpU6awePHis5bPzs4mOzubuXPnkpSUxLFjx7j//vvJzs5myZIlZ5SfNGkSXbt2JSsrq96xKeoltOyt0WgkICCArakR+PlLI5RoGqqqsm2LhSVfVDL1ET9axTh+O3y3tIo3/mWnY/8IOg2MIKqT4ZJMaoqzKtm3Opd9q/PI2FqAxbG8CxoNLP0xlI6dJGkRTa+8zE6vzrmUlpZiMDTOYPGT16Tud76I1tPr/CfUwmauZscnTzd4vGlpaSQlJbFlyxZ69eoFwPLlyxk5ciTHjx8nOjq6TvV8+eWX3HHHHVRUVKDTnWo/ef/99/niiy945plnGDx4MMXFxQQGBtY5PmmJEaKRKYpCch9Pkvt41ji+8udqsvdWk73XyK/vH8QQ4UVi/3A6DoggoW8IHvqW302y5t+HWPHm/hrHWrfRct2N3twyzoeo6Jb/HgjRkIxGY437er0evf7C10nauHEjgYGBzgQGYMiQIWg0GjZt2sRNN91Up3pOJlenJzB79+7lueeeY9OmTRw5cuSC4pMkRggX+fvzBq4ZpOfXFdWsX2vGmFvN5v9msPm/GXj6aHli1WC8/Ny/FUJVVcryTWTuLGbfmjx6jo7h8UHHAIi53MQqLfTo5cnAIXoGDvEioa18LYlLi+Go6aLXNLJaTQDExsbWOD5r1ixmz559wfXm5OQQHh5e45hOpyM4OJicnJw61VFQUMDzzz/PlClTnMdMJhO33347r776KnFxcZLECOFuQkK13DzWh5vH+mCqVtm00cSvv5hYtaKaiEgNd0TvdpYdfpMJu9VOVKKBqMQAohINRLT3x8Or+bVUnBzXcmKfkRP7jOTsN1JRZHY+3jmwCAYFANCrjyfrt0cQGCjdu0I0hMzMzBrdSedqhZkxYwYvv/xyrXWlpaVddDxGo5FRo0aRlJRUI5maOXMmnTp14o477rio+iWJEaIZ0HspXDPQi2sGevHMCwaKi+zOx8xmlezdRVjMkLmzxHlco4HQNn507B/O8Ec7OY8XZ1XiE+SJ3qdxPt5Ws43yQjMVhSbKC02UnKgiINKbxAERAAxRdvDCk3k1ztFoIKGtjiuv0TPiulN9/zqdQmDgpTcOSIjGYjAY6jQmZvr06UyYMKHWMgkJCURGRpKXV/PzbLVaKSoqIjKy9gU+y8rKGDFiBP7+/ixduhQPj1Mty6tWrWL37t3Ogb4nh+eGhoby9NNP8+yzz573NYAkMUI0O4qiEBxyqoVFp4NvloexN9XCvlQLaXstpKVaKSq0k3e4nJ6JVm4xVAFgt6tcNjIHmw08vLX4hejxC/H84796YrsF0nN0rLPsho/O3YQbluBHx/6OxMRSbePdsb9RXmii2njmXlGDh+n52w2OmQWqv4arB+iJjdOSmORBp8462nf0wMtLkhUhmouwsDDCwsLOW65fv36UlJSQkpJCcnIy4EhA7HY7ffv2Ped5RqOR4cOHo9fr+fbbb/Hyqjlw+auvvqKqqsp5f8uWLdxzzz389ttvtG3bts6vQ5IYIZo5jUYhoZ2OhHY6rrvRG3D8asnLtbNvrwX/02baGY0qnp4KVVUqliobxccrKT5e6Xw8tCqPW+7KBxw7cz/z2rn7tAcN1fP09ScTE5WXsiswObrd0ekgOERDaJiG8AgtvfqeGrSsKAoffBzcYK9fCOE6nTp1YsSIEUyePJl58+ZhsViYOnUq48aNc85MysrKYvDgwXz88cf06dMHo9HIsGHDqKys5NNPP8VoNDoHHIeFhaHVas9IVAoKCpzPJ7OThGjhFEUhIlJ7xkJvgYEatu+PpKLCTkG+ncJ8OwUFNgoLHPfbttOdVgfceLP3OZ8joUZZhQ8/D8FgUAgJ0xIQoFyS08GFuBQtWrSIqVOnMnjwYDQaDWPGjOGtt95yPm6xWNi/fz+VlY4fTNu2bWPTpk0AtGvXrkZdR48eJT4+vsFik3VihBBCiD9pynVirrnqGXS6i1snxmqtZu265xo13uZIruRCCCGEcEuSxAghhBDCLUkSI4QQQgi3JEmMEEIIIdySJDFCCCGEcEuSxAghhBDCLUkSI4QQQgi3JEmMEEIIIdySJDFCCCGEcEuSxAghhBDCLUkSI4QQQgi3JEmMEEIIIdySJDFCCCGEcEuSxAghhBDCLUkSI4QQQgi3JEmMEEIIIdySJDFCCCGEcEuSxAghhBDCLUkSI4QQQgi3JEmMEEIIIdySJDFCCCGEcEuSxAghhBDCLUkSI4QQQgi3JEmMEEIIIdySJDFCCCGEcEuSxAghhBDCLUkSI4QQQgi3JEmMEEIIIdySJDFCCCGEcEuSxAghhBDCLUkSI4QQQgi3JEmMEEIIIdySJDFCCCGEcEuSxAghhBDCLUkSI4QQQgi3JEmMEEIIIc6pqKiI8ePHYzAYCAwMZNKkSZSXl9daftq0aXTs2BFvb2/i4uJ46KGHKC0trVFuy5YtDB48mMDAQIKCghg+fDg7d+6sV2ySxAghhBDinMaPH09qaiorVqxg2bJlrF27lilTppyzfHZ2NtnZ2cydO5c9e/bw4Ycfsnz5ciZNmuQsU15ezogRI4iLi2PTpk2sW7cOf39/hg8fjsViqXNsiqqq6kW9OjdiNBoJCAhga2oEfv6SvwkhhDi78jI7vTrnUlpaisFgaJTnOHlNuuaqZ9DpvC6qLqu1mrXrnmvweNPS0khKSmLLli306tULgOXLlzNy5EiOHz9OdHR0ner58ssvueOOO6ioqECn07F161Z69+5NRkYGsbGxAOzevZuuXbty8OBB2rVrV6d65UouhBBCiLPauHEjgYGBzgQGYMiQIWg0GjZt2lTnek4mVzqdDoCOHTsSEhLCggULMJvNVFVVsWDBAjp16kR8fHyd65UkRgghhGghjEZjjZvJZLqo+nJycggPD69xTKfTERwcTE5OTp3qKCgo4Pnnn6/RBeXv78/q1av59NNP8fb2xs/Pj+XLl/Pjjz86E526qHtJIYQQQjQ4z/1Z6DSeF1WHxm4GcHbNnDRr1ixmz559RvkZM2bw8ssv11pnWlraRcUEjqRq1KhRJCUl1YijqqqKSZMmceWVV/LZZ59hs9mYO3cuo0aNYsuWLXh7e9epfklihBBCiBYiMzOzxpgYvV5/1nLTp09nwoQJtdaVkJBAZGQkeXl5NY5brVaKioqIjIys9fyysjJGjBiBv78/S5cuxcPDw/nY4sWLSU9PZ+PGjWg0GuexoKAgvvnmG8aNG1dr3SdJEiOEEEK0EAaDoU4De8PCwggLCztvuX79+lFSUkJKSgrJyckArFq1CrvdTt++fc95ntFoZPjw4ej1er799lu8vGoOXK6srESj0aAoivPYyft2u/28cTnPqXNJIYQQQlxSOnXqxIgRI5g8eTKbN29m/fr1TJ06lXHjxjlnJmVlZZGYmMjmzZsBRwIzbNgwKioqWLBgAUajkZycHHJycrDZbAAMHTqU4uJiHnzwQdLS0khNTWXixInodDoGDhxY5/jcLokxmUx0794dRVHYsWOHq8MRQgghWrRFixaRmJjI4MGDGTlyJFdddRXz5893Pm6xWNi/fz+VlZUAbNu2jU2bNrF7927atWtHVFSU85aZmQlAYmIi3333Hbt27aJfv35cffXVZGdns3z5cqKiouocm9t1Jz3xxBNER0fXe1U/IYQQQtRfcHAwixcvPufj8fHxnL7k3IABA6jLEnRDhw5l6NChFxWbW7XE/Pjjj/z888/MnTvX1aEIIYQQwsXcpiUmNzeXyZMn8/XXX+Pj4+PqcIQQQgjhYm6RxKiqyoQJE7j//vvp1asX6enpdTrPZDLVWOjHaDQ2UoRCCCGEaGou7U6aMWMGiqLUetu3bx9vv/02ZWVlzJw5s171z5kzh4CAAOftz4sACSGEEMJ9uXQDyPz8fAoLC2stk5CQwK233sp3331XYz65zWZDq9Uyfvx4Pvroo7Oee7aWmNjYWNkAUgghRK2acgPIIWGTLnrFXqvdzC/5Cxo13ubIpd1JdV1s56233uKFF15w3s/Ozmb48OF88cUXtS62o9frz7laoRBCCCHcm1uMiYmLi6tx38/PD4C2bdsSExPjipCEEEII4WLSpyKEEEIIt+QWLTF/9ueFdYQQQghx6ZGWGCGEEEK4JUlihBBCCOGWJIkRQgghhFuSJEYIIYQQbkmSGCGEEEK4JUlihBBCCOGWJIkRQgghhFuSJEYIIYQQbkmSGCGEEEK4JUlihBBCCOGWJIkRQgghhFuSJEYIIYQQbkmSGCGEEEK4JUlihBBCCOGWJIkRQgghhFuSJEYIIYQQbkmSGCGEEEK4JUlihBBCCOGWJIkRQgghhFuSJEYIIYQQbkmSGCGEEEK4JUlihBBCCOGWJIkRQgghhFuSJEYIIYQQbkmSGCGEEEK4JUlihBBCCOGWJIkRQgghxDkVFRUxfvx4DAYDgYGBTJo0ifLy8lrPue+++2jbti3e3t6EhYVx4403sm/fPufjO3fu5Pbbbyc2NhZvb286derEP//5z3rHJkmMEEIIIc5p/PjxpKamsmLFCpYtW8batWuZMmVKreckJyezcOFC0tLS+Omnn1BVlWHDhmGz2QBISUkhPDycTz/9lNTUVJ5++mlmzpzJO++8U6/YFFVV1Qt+ZW7GaDQSEBDA1tQI/PwlfxNCCHF25WV2enXOpbS0FIPB0CjPcfKaNCRsEjqN50XVZbWb+SV/QYPHm5aWRlJSElu2bKFXr14ALF++nJEjR3L8+HGio6PrVM+uXbvo1q0bhw4dom3btmct8+CDD5KWlsaqVavqHJ9cyYUQQghxVhs3biQwMNCZwAAMGTIEjUbDpk2b6lRHRUUFCxcupE2bNsTGxp6zXGlpKcHBwfWKT1ev0m7uZKNTebndxZEIIYRozk5eJ5qis8KqmuEiL0tW1Qw4WndOp9fr0ev1F1xvTk4O4eHhNY7pdDqCg4PJycmp9dz33nuPJ554goqKCjp27MiKFSvw9Dx7i9OGDRv44osv+P777+sXoHoJyczMVAG5yU1ucpOb3Op0y8zMbLRrUlVVlRoZGdlgsfr5+Z1xbNasWWd97ieffPK89aWlpakvvvii2qFDhzPODwsLU997771aX19JSYl64MABdc2aNer111+v9uzZU62qqjqj3O7du9XQ0FD1+eefr/d7eEmNibHb7WRnZ+Pv74+iKK4Opwaj0UhsbCyZmZmN1v/aksn7d+Hkvbtw8t5dnOb8/qmqSllZGdHR0Wg0jTfyorq6GrPZ3CB1qap6xrXtXC0x+fn5FBYW1lpfQkICn376KdOnT6e4uNh53Gq14uXlxZdffslNN91Up9jMZjNBQUH8+9//5vbbb3ce37t3LwMHDuTee+/lxRdfrFNdp7ukupM0Gg0xMTGuDqNWBoOh2X2Y3Ym8fxdO3rsLJ+/dxWmu719AQECjP4eXlxdeXl6N/jx/FhYWRlhY2HnL9evXj5KSElJSUkhOTgZg1apV2O12+vbtW+fnU1UVVVUxmUzOY6mpqQwaNIi77777ghIYkIG9QgghhDiHTp06MWLECCZPnszmzZtZv349U6dOZdy4cc6ZSVlZWSQmJrJ582YAjhw5wpw5c0hJSSEjI4MNGzYwduxYvL29GTlyJAB79uxh4MCBDBs2jEcffZScnBxycnLIz8+vV3ySxAghhBDinBYtWkRiYiKDBw9m5MiRXHXVVcyfP9/5uMViYf/+/VRWVgKO1qXffvuNkSNH0q5dO2677Tb8/f3ZsGGDc5DwkiVLyM/P59NPPyUqKsp56927d71iu6S6k5ozvV7PrFmzLmoU+aVM3r8LJ+/dhZP37uLI++cegoODWbx48Tkfj4+PrzGLKzo6mh9++KHWOmfPns3s2bMvOrZLamCvEEIIIVoO6U4SQgghhFuSJEYIIYQQbkmSGCGEEEK4JUlihBBCCOGWJIlp5kwmE927d0dRFHbs2OHqcJq99PR0Jk2aRJs2bfD29qZt27bMmjWrwVbEbIneffdd4uPj8fLyom/fvs61HsS5zZkzh969e+Pv7094eDijR49m//79rg7LLb300ksoisLDDz/s6lCEG5Ikppl74on/b+8OQpp+HziOfzbByDShQD2UUREGWY1aWxDUAsmgQ3aoDh3UgxBMKQb9sw51iS5JDRYtTxWrMDBqFBVYoAUWDI2wYIcVlmxYK8hMosXm//AD+fsP/M/Dv2dPe79ghz3fHT58+TI+PM+zPf/K+6hzSPF4XLlcTt3d3Xrz5o0uXLigy5cv6+TJk6ajFaRbt24pEAjo9OnTGh4e1saNG9XY2KhPnz6ZjlbQBgYG5Pf79eLFC/X19enXr1/atWuXpqamTEezSiwWU3d3tzZs2GA6CizFT6wL2MOHDxUIBHT79m2tW7dOL1++lMvlMh3LOufOnVM4HNa7d+9MRyk4Xq9XW7Zs0cWLFyX9c77Y8uXL1dHRoc7OTsPp7JFOp1VVVaWBgQFt377ddBwrfP/+XZs2bdKlS5d05swZuVwuBYNB07FgGWZiCtTHjx/V1tamSCSisrIy03GsNjExoSVLlpiOUXAymYyGhobU0NAwM+Z0OtXQ0KDnz58bTGafiYkJSeI5mwe/3689e/bMev6A+eIfewvQ9PS0WlpadPjwYbndbo2OjpqOZK1EIqFQKKSuri7TUQrO58+flc1mVV1dPWu8urpa8XjcUCr75HI5HT16VNu2bVN9fb3pOFbo6enR8PCwYrGY6SiwHDMxf1BnZ6ccDsecr3g8rlAopMnJSZ04ccJ05IKR7737T8lkUrt379b+/fvV1tZmKDn+dn6/X69fv1ZPT4/pKFYYGxvTkSNHdOPGDSOnN+Pvwp6YPyidTuvLly9zfmbVqlU6cOCA7t27J4fDMTOezWZVUlKiQ4cO6dq1a//vqAUn33tXWloqSUqlUvL5fNq6dauuXr0qp5O+/t8ymYzKysrU29urpqammfHm5mZ9/fpV0WjUXDhLtLe3KxqN6unTp1q5cqXpOFa4e/eu9u3bp5KSkpmxbDYrh8Mhp9Opnz9/zroGzIUSU4A+fPigb9++zbxPpVJqbGxUb2+vvF6vli1bZjBd4Usmk9q5c6c2b96s69ev84U4B6/XK4/Ho1AoJOmfpZHa2lq1t7ezsXcO09PT6ujo0J07d9Tf3681a9aYjmSNyclJvX//ftZYa2ur1q5dq+PHj7Mkh3lhT0wBqq2tnfW+vLxckrR69WoKzP+QTCbl8/m0YsUKdXV1KZ1Oz1yrqakxmKwwBQIBNTc3y+12y+PxKBgMampqSq2traajFTS/36+bN28qGo2qoqJC4+PjkqTKykotXLjQcLrCVlFR8VtRWbRokZYuXUqBwbxRYvBX6evrUyKRUCKR+K3wMen4u4MHDyqdTuvUqVMaHx+Xy+XSo0ePftvsi9nC4bAkyefzzRq/cuWKWlpa/nwgoEixnAQAAKzEbkcAAGAlSgwAALASJQYAAFiJEgMAAKxEiQEAAFaixAAAACtRYgAAgJUoMQAAwEqUGAAAYCVKDAAAsBIlBihC6XRaNTU1Onv27MzY4OCgSktL9eTJE4PJACB/nJ0EFKkHDx6oqalJg4ODqqurk8vl0t69e3X+/HnT0QAgL5QYoIj5/X49fvxYbrdbIyMjisViWrBggelYAJAXSgxQxH78+KH6+nqNjY1paGhI69evNx0JAPLGnhigiL19+1apVEq5XE6jo6Om4wDAvDATAxSpTCYjj8cjl8uluro6BYNBjYyMqKqqynQ0AMgLJQYoUseOHVNvb69evXql8vJy7dixQ5WVlbp//77paACQF5aTgCLU39+vYDCoSCSixYsXy+l0KhKJ6NmzZwqHw6bjAUBemIkBAABWYiYGAABYiRIDAACsRIkBAABWosQAAAArUWIAAICVKDEAAMBKlBgAAGAlSgwAALASJQYAAFiJEgMAAKxEiQEAAFaixAAAACv9G1pfY3MwEzoaAAAAAElFTkSuQmCC", + "image/png": 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", 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", 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", 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", + "image/png": 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", "text/plain": [ "
" ] @@ -365,14 +365,13 @@ "# Now try some slices for rendering\n", "#\n", "times = coefs.Times()\n", - "pmin = [-5.0, -5.0, 0.0]\n", - "pmax = [ 5.0, 5.0, 0.0]\n", - "grid = [ 40, 40, 0]\n", + "pmin = [-0.05, -0.05, 0.0]\n", + "pmax = [ 0.05, 0.05, 0.0]\n", + "grid = [ 40, 40, 0]\n", "\n", "fields = pyEXP.field.FieldGenerator(times, pmin, pmax, grid)\n", "\n", "surfaces = fields.slices(basis, coefs)\n", - "\n", "print(\"We now have the following [time field] pairs\")\n", "final = 0.0\n", "for v in surfaces:\n", @@ -390,13 +389,13 @@ "# Visualize the final time slice in grid. Obviously, we could use any \n", "# field we want. Here is potential and radial force.\n", "\n", - "cont1 = plt.contour(xv, yv, surfaces[final]['potl'], colors='k')\n", + "cont1 = plt.contour(xv, yv, surfaces[final]['potl m>0'], colors='k')\n", "plt.clabel(cont1, fontsize=9, inline=True)\n", - "cont2 = plt.contourf(xv, yv, surfaces[final]['potl'])\n", + "cont2 = plt.contourf(xv, yv, surfaces[final]['potl m>0'])\n", "plt.colorbar(cont2)\n", "plt.xlabel('x')\n", "plt.ylabel('y')\n", - "plt.title('Potential at T={}'.format(final))\n", + "plt.title('Non axisymmetric potential at T={}'.format(final))\n", "plt.show()\n", "\n", "cont1 = plt.contour(xv, yv, surfaces[final]['rad force'], colors='k')\n", @@ -414,7 +413,7 @@ "plt.colorbar(cont2)\n", "plt.xlabel('x')\n", "plt.ylabel('y')\n", - "plt.title('Density for m>0 at T={}'.format(final))\n", + "plt.title('Non axisymmetric ensity for m>0 at T={}'.format(final))\n", "plt.show()" ] }, @@ -444,7 +443,7 @@ "outputs": [], "source": [ "# First, we generate a Cartesian mesh\n", - "xy = np.linspace(-5, 5, 40)\n", + "xy = np.linspace(-1, 1, 40)\n", "mesh = np.ndarray((40*40, 3))\n", "for i in range(40):\n", " for j in range(40):\n", @@ -476,7 +475,7 @@ }, { "data": { - "image/png": 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JYoQQQgjhliSJEUIIIYRbkiRGCCGEEG5JkhghhBBCuCVJYoQQQgjhliSJEUIIIYRbkiRGCCGEEG5JkhghhBBCuCVJYoQQQgjhliSJEUIIIYRbkiRGCCGEEG5JkhghhBBCuCVJYoQQQgjhliSJEUIIIYRbkiRGCCGEEG7JbZOYl156CUVRePjhh10dihBCCCFcwC2TmC1btvCvf/2Lrl27ujoUIYQQQriI2yUx5eXljB8/ng8++ICgoCBXhyOEEEIIF3G7JObBBx9k1KhRDBky5LxlTSYTRqOxxk0IIYQQLYPO1QHUx+eff862bdvYsmVLncrPmTOHZ599tpGjEkIIIYQruE1LTGZmJn/9619ZtGgRXl5edTpn5syZlJaWOm+ZmZmNHKUQQgghmorbtMSkpKSQl5dHz549ncdsNhtr167lnXfewWQyodVqa5yj1+vR6/VNHaoQQgghmoDbJDGDBw9m9+7dNY5NnDiRxMREnnzyyTMSGCGEEEK0bG6TxPj7+9OlS5cax3x9fQkJCTnjuBBCCCFaPrcZEyOEEEKIpldUVMT48eMxGAwEBgYyadIkysvLaz2nurqaBx98kJCQEPz8/BgzZgy5ublnLVtYWEhMTAyKolBSUlKv2Nw6iVm9ejVvvvmmq8MQQgghWqzx48eTmprKihUrWLZsGWvXrmXKlCm1nvPII4/w3Xff8eWXX7JmzRqys7O5+eabz1p20qRJF7x4rVsnMUIIIYRoPGlpaSxfvpx///vf9O3bl6uuuoq3336bzz//nOzs7LOeU1payoIFC3j99dcZNGgQycnJLFy4kA0bNvD777/XKPv+++9TUlLCY489dkHxSRIjhBBCtBB/XuDVZDJdVH0bN24kMDCQXr16OY8NGTIEjUbDpk2bznpOSkoKFoulxqK0iYmJxMXFsXHjRuexvXv38txzz/Hxxx+j0VxYOuI2A3uFEEKIlujrsm54qR4XVUd1uQX4mdjY2BrHZ82axezZsy+43pycHMLDw2sc0+l0BAcHk5OTc85zPD09CQwMrHE8IiLCeY7JZOL222/n1VdfJS4ujiNHjlxQfJLECCGEEC1EZmYmBoPBef9ca6XNmDGDl19+uda60tLSGjS2082cOZNOnTpxxx13XFQ9ksQIIYQQLYTBYKiRxJzL9OnTmTBhQq1lEhISiIyMJC8vr8Zxq9VKUVERkZGRZz0vMjISs9lMSUlJjdaY3Nxc5zmrVq1i9+7dLFmyBABVVQEIDQ3l6aefrvOWQZLECCGEEJeYsLAwwsLCzluuX79+lJSUkJKSQnJyMuBIQOx2O3379j3rOcnJyXh4eLBy5UrGjBkDwP79+8nIyKBfv34AfPXVV1RVVTnP2bJlC/fccw+//fYbbdu2rfPrkCRGCCGEEGfVqVMnRowYweTJk5k3bx4Wi4WpU6cybtw4oqOjAcjKymLw4MF8/PHH9OnTh4CAACZNmsSjjz5KcHAwBoOBadOm0a9fPy6//HKAMxKVgoIC5/P9eSxNbSSJEUIIIcQ5LVq0iKlTpzJ48GA0Gg1jxozhrbfecj5usVjYv38/lZWVzmNvvPGGs6zJZGL48OG89957DR6bop7siLoEGI1GAgIC2JoagZ+/zC4XQghxduVldnp1zqW0tLROY0wuxMlr0t9+H4aX38XPTnrh8p8bNd7mSK7kQgghhHBLksQIIYQQwi1JEiOEEEIItyRJjBBCCCHckiQxQgghhHBLksQIIYQQwi1JEiOEEEIItyRJjBBCCCHckiQxQgghhHBLksQIIYQQwi1JEiOEEEIItyRJjBBCCCHckiQxQgghhHBLksQIIYQQwi1JEiOEEEIItyRJjBBCCCHckiQxQgghhHBLksQIIYQQwi1JEiOEEEIItyRJjBBCCCHckiQxQgghhHBLksQIIYQQwi1JEiOEEEIItyRJjBBCCCHckiQxQgghhHBLksQIIYQQwi1JEiOEEEIItyRJjBBCCCHckiQxQgghhHBLksQIIYQQwi1JEiOEEEIItyRJjBBCCCHckiQxQgghhHBLksQIIYQQwi3pXB2AEKJx7N1j4US2jYJ8O4UFNgoK7BTm26muVvHzV3jt7SBn2bn/MHLwgLXG+Z6eEByiJTRMw//91Q+tVgGgqNCGp17B11dBUZQmfU1CCHE6SWKEcENms8rhg1b2plrYl2phX5oVDw/4z6IQZ5m/PVHC3j3Ws54fHFKzEXbHdgtbN5nPWtbHR2Hao/7O+zOnl7JmlQkvLwgJ0xIRoaFjJw8Skzzo1FlH58s8nAmPEML9FRUVMW3aNL777js0Gg1jxozhn//8J35+fuc8p7q6munTp/P5559jMpkYPnw47733HhEREc4yW7ZsYcaMGaSkpKAoCn369OGVV16hW7dudY5Nkhgh3Mhrc4z8tsbE4YNWLJaaj/n5n0oclhh7om+3kxilHL8QT3xD9PiF6PEL8cTTR4dOr2GJsZWzfKe784i9zlSjPku1jYpCM3abnSXGROfx9JINgInqasjKtJGVaWPbVkcwXl6QkhbpLLt6ZTUeHgqdOusIDtE24DshhGgq48eP58SJE6xYsQKLxcLEiROZMmUKixcvPuc5jzzyCN9//z1ffvklAQEBTJ06lZtvvpn169cDUF5ezogRI7jhhht47733sFqtzJo1i+HDh5OZmYmHh0edYlNUVVUb5FW6AaPRSEBAAFtTI/Dzl+FAonkyVats/t3EqhUmdm4389X3oc5um2lTilix3JFseBl0RHU0ENUpgMiOBoJjfGjdM6hJunhMlVbKC0xUFJooPlFFzj4jJ/YZ0eo0fPPpqWTl+qH5HNzvaA2KjNLQ7yo9g4Z6ccXVnvj6ymdQNF/lZXZ6dc6ltLQUg8HQKM9x8pr0t9+H4eVXt4v2uVSXW3jh8p8bPN60tDSSkpLYsmULvXr1AmD58uWMHDmS48ePEx0dfcY5paWlhIWFsXjxYm655RYA9u3bR6dOndi4cSOXX345W7dupXfv3mRkZBAbGwvA7t276dq1KwcPHqRdu3Z1ik9aYoRoBooKbaxeZeLXFdWsX2umsvLUb4vsLBsbDX0AiLutkPEjLUQmGgiM8nbZmBS9jw59nI6QOF/iekC3kadadZYYHf9VVRXvtjsIqS6l8FgFOSfsLP2yiqVfVuGph5HXe/PS64EuiV8IUTcbN24kMDDQmcAADBkyBI1Gw6ZNm7jpppvOOCclJQWLxcKQIUOcxxITE4mLi3MmMR07diQkJIQFCxbw1FNPYbPZWLBgAZ06dSI+Pr7O8UkSI4SLLZhXztw5ZZzeJuofriexfwQd+4ezVh/Kyd9obXqHnLWO5khRFG59pQcApgorx3eXsH9NHmm/5lJ8vBLdad8+drvK/PcquPJqTzpf5oFGI2NqhLgQRqOxxn29Xo9er7/g+nJycggPD69xTKfTERwcTE5OzjnP8fT0JDAwsMbxiIgI5zn+/v6sXr2a0aNH8/zzzwPQvn17fvrpJ3S6uqcmksQI0YROZNv48rNKBg7Rc1k3TwA6JOpQVYjqZCCxfwSJAyOITjK0qJk/el8dbS8Ppe3loVz7RCfyj5Sj0SosMfpxi2Ebe3ZZePOVMt58BcLCNYy8wZvbxvuQ0Fa+okTL92tuB3TlF55oAFgrTMDPzq6Zk2bNmsXs2bPPKD9jxgxefvnlWutMS0u7qJhqU1VVxaRJk7jyyiv57LPPsNlszJ07l1GjRrFlyxa8vb3rVI98QwjRyMwmlVUrqvnqv1WsW2NCVR3jXi7r5skSY0+sl9l5bIWJwKi6fWjdnaIohLc9NdtpibEn2dWldB56iIPr88nPs/HRvyv46N8VJPf24ObbfBgxykvG0AhRB5mZmTXGxJyrFWb69OlMmDCh1roSEhKIjIwkLy+vxnGr1UpRURGRkZFnPS8yMhKz2UxJSUmN1pjc3FznOYsXLyY9PZ2NGzei0Wicx4KCgvjmm28YN27c+V4qIEmMEI1m314LX31RybdLqygtOdVX1KZ3MOauCSwxOqYa6jw0l0wCcy7RSQHc/kYyVrONQxsK2LokgwNr80jZYiFlSymtWmm5/MqL+6UqxKXAYDDUaWBvWFgYYWFh5y3Xr18/SkpKSElJITk5GYBVq1Zht9vp27fvWc9JTk7Gw8ODlStXMmbMGAD2799PRkYG/fr1A6CyshKNRlOjxfnkfbvdft64TpIkRohGYLWqTLqjiMICx4fREOFFjxtj6Dk6hpA4XxdH13zpPLUkDoggcUAExrxqtn97nCObCunT79RX1X/ml2Ozwo1jvAmPkGnbQjSmTp06MWLECCZPnsy8efOwWCxMnTqVcePGOWcmZWVlMXjwYD7++GP69OlDQEAAkyZN4tFHHyU4OBiDwcC0adPo168fl19+OQBDhw7l8ccf58EHH2TatGnY7XZeeukldDodAwcOrHN8ksQI0QByc2x881UVk//PF0VR0OkUbhnnzboD/iTfFEu7K8LQyAJw9WII96L/ve3of287/lfuOHaDVwofvFdBcZGdN18tY9i1Xvz1cX/i28hXmRCNZdGiRUydOpXBgwc7F7t76623nI9bLBb2799PZWWl89gbb7zhLHv6YncnJSYm8t133/Hss8/Sr18/NBoNPXr0YPny5URFRdU5NlknRoiLUGa08+955Xz07wqqq+GdD4Io6XeFq8NqsaxmGzuXZZOyNJOM7cUAaLUw9nYf/u+vftIyIxpMU64Tc+U3U9H5XvzA3vU3vtOo8TZHciUX4gKYqlX+M7+cIVfl8a93HAlMbLdA9vgluTq0Fk3nqSX55limfHIFDy65mo7XhGOzweefVjL8mnx+/K7K1SEKIZqQtMEKUQ92u8o3X1Xx1mtlnMh2jHcJS/Bj2MMdSRwY0aKmRTd3UYkG7nyvN0e3FvLzG/s4kVpC0mUXt+qpEMK9SBIjRD2oKiz8oIIT2XYMEV4MfrAD3W9ohVYnjZqu0qZXCFM+vYKc/WVsCTbQmm2AY5+phHY6brjZWzakFKKFkiRGiPPYtcNM+44eeHsraLUKT/7NwH+3hXP5X+Lx8JIxGM2BoihEJTrGASwx9iRnv5F/z/sNVYX/zK/g8af8uWagl4ujFEI0NPn5KMQ5VFbaeXFWKbfdWMinCysAxwXyRPd+XH1PW0lgmrGQ1r4MeyQRg0Hh4H4rU+4u5tEHiykuqvv6E0KI5k+SGCHOYttWMzeNKOCThZWoKqzPCGGJsaerwxJ15OGl5ep72jLtx6FceXcbtFr44btqrhuSzy8/Vbs6PCFEA5EkRojTmKpVXn3RyPgxhRxLt2GI8OLuf/Xhuqc6uzo0cQG8Azy49vEkpiy+ivB2fhQW2Hn68RKMpdIiI0RLIGNihPjD/jQL06eWcOigFYAeN8Yw8skkvA0y48XdteocwP/99ypWvnuQ0T0KMQTI7zchWgK3+STPmTOH3r174+/vT3h4OKNHj2b//v2uDku0IDodZGRY8QvRM/7tXox5sZskMC2IzlPL8EcSqRpwpbNrcOXP1fz9iRLKy6RlRgh35DZJzJo1a3jwwQf5/fffWbFiBRaLhWHDhlFRUeHq0IQbO32gZ9v2Htz6Wi+mfX0NnQZGuDAq0RQ+y+vG7JmlfPl5FTcML+D39SZXhySEqCe3SWKWL1/OhAkT6Ny5M926dePDDz8kIyODlJQUV4cm3JDdrjL/3XIGXp7Ljm1mwDHzKHFABL5Bni6OTjQFDy8tN7zSh6AYb7KP25hwexHPP1OK2XTJ7MQihNtzmyTmz0pLSwEIDg4+ZxmTyYTRaKxxE6Ky0s5fHyjh9ZfLqK6Gfy7xl5lHl6g2vUOY+r9r6HNrHACLPqzk7nGFFOTbXByZEKIu3DKJsdvtPPzww1x55ZV06dLlnOXmzJlDQECA8xYbG9uEUYrmKOu4lb/cXMiKH6vx8ITRsy9j5JOy39GlTO+j44ZnLuOu93vjb1DYnmJh7PUFFBVKIiNEc+eWScyDDz7Inj17+Pzzz2stN3PmTEpLS523zMzMJopQNEfbtpi59YZC9u21EhKqYeKCfvS6JU72OxIAdLg6nEmLryE03per+usJCnbLr0chLiluN8V66tSpLFu2jLVr1xITE1NrWb1ej15/cdubi5YhdbeFu28vxGKGyI4G7ninF4FR3q4OSzQzofF+3Lf4Sjy8tSjKDgCsVhWdThJdIZojt/mpoaoqU6dOZenSpaxatYo2bdq4OiThRhKTdAwd4UWnQRFM+aSfJDDinLwNHug8NCwx9sRiUXnw3mL+ObcMVZUBv0I0N27TEvPggw+yePFivvnmG/z9/cnJyQEgICAAb2+5IImzs9tVNBrHxo19nx3I5RoFjexoLOropR9iWLMqhzWrTJSW2PnbcwY0Gvn3I0Rz4TYtMe+//z6lpaUMGDCAqKgo5+2LL75wdWiiGVJVlTdfLeOJh0uw21WWGHui9dBIAiPqpdPACK7/WxcUBRZ/XMnjfy3BYpEWGSGaC7dpiZGmXFFXdrvKC88YWfxxJQAh18bR/koXByXcVt9xrfE2ePC/p7bz/TfVlJcV8+b7QXh7S0IshKu5TUuMEHVhsag88XAJiz+uRFHghr93of2VYa4OS7i5riOjuf2t3nh5wZpVJu69o5Ayo2xVIISrSRIjWgybTWXm9BKWfV2NTge3vtKDPre1dnVYooXoeE04d8zvh79BIS3VypHDVleHJMQlz226k4SojaqqzJ5Z6kxgxr3Zi8QBsv+RaFjxPYO5c8GVXKVNo1sP2Z5CCFeTlhjRIuxPs/L1V1VoNHDLyz0lgRGNJrpTAEc6XO68n3nMKoN9hXARSWJEi5CY5MF7C4IY/Xw3ugyPcnU44hKwxNiT1N0Wbr2xkCcfccyCE0I0LUlihFs7fdZabs8r6Hlj7as4C9GQvsloQ3mZnR++reaD9ypcHY4QlxxJYoTbOnLIytjrCzm43yK7UAuX6HB1OKOevgyAf84tY/1ak4sjEuLSIkmMcEvl5XamTSlmzy4Ljz0v/4yF6/S6JY7km2Ox22H6tGKyjsusJSGainz7C7ejqipPP1bK4UNWDBFe3PRcV1eHJC5x1z3dmVadAygpVnnovhJM1TI+RoimIEmMcDsLP6jgpx+q8fCAca/1xC9UdioXruWh1zLujZ4EBimk7rYw/71yV4ckxCVB1okRbmXTRhOvzSkDYMSTnYnrHuTiiIRwCIr2YfTLvSn6cTeT7vd1dThCXBIkiRFuI+eEjUf+rwSbDbpf30pW4xXNTrsrwuCKQfj4bHN1KEJcEqQ7SbgNDw9o31FHZEcDNzxzGYoiG/CJ5mmJsSd2u8rHCyooKrS5OhwhWixpiRFuIyRUy4JPg/k0owue3lpXh9MinFxnRxLChnfvM95s+DiHNb9W88HHwWg08h4L0dCkJUY0e5WVp3YL/royWQbyNhBThZWNn6bz8sCVPH/5T3z7/G6s5tpbDew2FZtFdm+ui+SbY/HygvVrzXzyn0pXhyNEiyRJjGjWqqtVbhpRwDMzSvk06zJXh+M2VFXFbnPcbFY7Nqvd+f9Ptr5s+e8xNnxylIkf9GXqV1dTkl3F8rlpAGddQr+y1Mxv/znMK4NX8nzfn1j2j1Ssf0posvaUkPK/TNJ+zaUo89K+cEe082fY410Ax0J4J7KlW0mIhiZJjGjW/vVOOcfSbSxfaUeR5vg6UxQFjdZx0+o0aHUa5/9XFIWC9HLSU4pIHhNLRHt/glr50P6qMLLTjFSWms/a9bHxk3S2f3OcKZ9ewbSvryH/aDkr3tznfHzPTyf4/qW97Poxm9XzDrJ01i6ObC5sypfd7PQaG0dc9yAqK1X+MbvU1eEIcUGKiooYP348BoOBwMBAJk2aRHl57csIzJ8/nwEDBmAwGFAUhZKSkhqPp6enM2nSJNq0aYO3tzdt27Zl1qxZmM3mesUmY2JEs3X4oIV/v+/4oIyakYTeV/651kVWaimfTt2C1WzHN9gTn0BP/MP0BER64+GlJfmmWIoyK7FZVaITDc7z/MO80PvoKDhaQVx3zxrjZXIPlXF8dwl9bmtNSJxj+nC7fqEcWJePqdIKKmz7OpOgGB/GvtQdgK+f3c2v8w6S0Cekyd+D5kKjUbjhmS7Mu/U3Viw3sWpFNYOGerk6LCHqZfz48Zw4cYIVK1ZgsViYOHEiU6ZMYfHixec8p7KykhEjRjBixAhmzpx5xuP79u3Dbrfzr3/9i3bt2rFnzx4mT55MRUUFc+fOrXNsclUQzZKqqsx+2ojFAh37h5M0JNLVIbmNiA7+3LPgcoz51ZQXmijLM1GWX015gYmcA2W06hyA1WRHo1HwDT5tfJEKigbU07qSVBUUBQrTK0CBiPb+zsf8w/ToPDUUHCmnVZdAvAwehLfzO/V4iJ7yAhPlhSb8Qi7dcUyRHQz0uyuB3/5zhH/MNnLNQD06nbQqCveQlpbG8uXL2bJlC7169QLg7bffZuTIkcydO5fo6Oiznvfwww8DsHr16rM+fjLBOSkhIYH9+/fz/vvvSxIj3N/SJVVs+d2Mt7fCdU93ltkz9aDz0BCW4EdYgt85y+z8PgurxY5Of6pHubzIhNZDg3eAxxnlK0rMaD00+AZ71jiu0SjYbY6kp8vQKLZ+lcE63RG8/HQc/r2A7te3uqQTmJMG3t+egvQKnnvEKgmMcCsbN24kMDDQmcAADBkyBI1Gw6ZNm7jpppsa7LlKS0sJDg6u1zmSxIhmp7jYzisvGAG45oGOBEX7uDii5k1VVXL2G6koMjsWWzvL4yetyO6IotVQHhRCdsYxNuS0xt8QAcC+zUfR+ESw1doFjxxvVJudIZH7AdDqFCzVNnSepyU9hWY0OgW/UD3VZRaObilEtcO+1bmUnKii49XhdB4W1civ3j14+ugY/1YvLjPIIniicRmNxhr39Xo9ev2F/5DIyckhPDy8xjGdTkdwcDA5OTkXXO+fHTp0iLfffrterTAgSYxoho4cdOwCHNHenyvubOPiaJq3nd9nsf6jo2TvLSW0jS8PfzfA+diKnMQzyitaR1LjlxCGzuBF3q9p+LUNo+xgLgXrDpL0zA14BHj/UVbDyvxOAJSHBpN19BjrcuIZHV8AQOauYgwRXgREeZPyVSbpKUXc8lJ3Ito5upzm37mBjZ8eZeD97dF6yBwCcCyCd4thGxnpVmLitLJ2jAAgIzsUjffFjZWyV1UDEBsbW+P4rFmzmD179hnlZ8yYwcsvv1xrnWlpaRcVU11lZWUxYsQIxo4dy+TJk+t1riQxotlJ7uPJj7+G89mxjnLxO48Da/PI3luKzlODPTyCn7M6oGhrf89Ods0l/e069r38I+tueBt9qB9t/28gQT3jALCZLKQvXE/srb3xDPbFr104HgYvclem8VOrKyhNzSJtTQFdXxqDRuMYfK311OB/2ho+sV0DKTpeibnKhrf8HZ0+eK+ct14r4+lnDYy7Q/ZYEg0rMzMTg+HUgP1ztcJMnz6dCRMm1FpXQkICkZGR5OXl1ThutVopKioiMvLixypmZ2czcOBArrjiCubPn1/v8yWJEc3SSl0vwtu6Oormw25XOfJ7AZu/OMbgqR2dA2y1owbRJjKdqJGX4RFQv243rwgD3V+/DdWuYqs0o/M77cvOrmK32Byjev/Q6e/Xs+/lH1k/+h28Igx0nD4MQ5dWrMhRMHeJo2LZD6x89wDRSQEA7F2ZQ//J7fDyl6+Z0+0jFotlL6+9VMaQ4V6Ehsnq06LhGAyGGknMuYSFhREWdmb385/169ePkpISUlJSSE5OBmDVqlXY7Xb69u17UbFmZWUxcOBAkpOTWbhwIRpN/X/syLeLaHaWGHu6OoRmo7LUzPavj7P5vxkUHqsAwDdYj899YwHw7wD+HSIu6jkUjVIzgQG03p60nza4xjHvqAB6vDkOAFuVBa33qQHAnkE+JEy+huPL97D/f4WE6CsZMKU9yTc7mrb3rswhPjkYn8CaA4MvRX1vj2f7t8fJ3mvkk4UVPPLE+S84QrhKp06dGDFiBJMnT2bevHlYLBamTp3KuHHjnDOTsrKyGDx4MB9//DF9+vQBHGNpcnJyOHToEAC7d+/G39+fuLg4goODycrKYsCAAbRu3Zq5c+eSn5/vfM76tPBIEiNEM6SqKhs/TWfFP/dhqXasiqv30xEyuAvqiO6uDQ5qJDAn+bULp93UQc77RQDsozSnis8eSUHroWHgA+25+p62l/RYEI1WYcCU9ix+OIXPP63kvql++PhId5tovhYtWsTUqVMZPHgwGo2GMWPG8NZbbzkft1gs7N+/n8rKU6t0z5s3j2effdZ5/5prrgFg4cKFTJgwgRUrVnDo0CEOHTpETExMjec7fTLC+ShqfUq7OaPRSEBAAFtTI/Dzly+N5kBV1TOmT1/qLTGqqvLZwynsXZkLgF/bMKJv6E74oES03u7XklG2P4cDr/9M+WHHL62EviHcMqc7hvBLd9E3u03ljVGrKT5eyawXDdx+p4yNaW7Ky+z06pxLaWlpnbpnLsTJa1Ls+7MbZGBv5gOzGzXe5kiu5KLJ2WwqZvOZuyfb7eoln8CA4z2J6xGMzlNDu2mD6TnvTqJGdXXLBAbAv2MkPefdSYfpw/Dw1nJkUyHv3LyWfatzXR2ay2i0ClfcEQ/ARwsqzrpXlRDi/CSJEU3u66+qeGtuGatWVJN+1Iqp2vEFbrdDldEC1K85sSWwWeyUnKhy3q8cdi09P5hAqxu7t4iF/hRFIeray+j+3l34tQunssTCp1O38sMre10dmsv0vCkWP3+FE1k2Dh6wujocIdySjIkRTe7b/1VxcL+Vgwes+PoqdEjUccXVev75lQGt7jDDHklsERfuuirKrOS/T2ynutzC/31xFWuMXVA04N0qyNWhNTif2GB6vHU7R/+zjuNLUmpMyb7U6H113PJ6H+7rnU5QsPyeFOJCyCdHNLl77/fF36Bw5dV6OiTq2LjezNw5ZWz5MoOyQhMHfsvDXGVzdZhNYuf3Wbx7y28c311CeaGJ7za3/M0SNZ462t4/gB5v3U7ViJHO4xXF5kuuBa5dv1BJYIS4CPLpEU3u6gFePPhXP9KPWrn7Xj8++jyEiMEdUDQKBUfL+W3hETy9W/baGaYKK189vZMvn9yBqcKKoUsrur0/EUOia5fpV232GhtANiZDUjSKRmFFTiLmSiv/vmsDi/+aQmWJuUmev7k4OQ4s85h0KQlRX5LEiCZns6mMGOWNp17h3TfKACgrqCZpSCT3LbqSax/v5OIIG1fOASPv3bqO7d8cR9FA67v60f21W/GKcN2MAktZNXazFUWrQdEoTZrMACz91Y+izErSVuXyzpjfyNhe1GTP7WrmSit3jC3k2oH5ZGddGi2QQjQUSWJEk9NqFTz1Cnfd48v630w8Pj+YncuySBrsWOAoulOAiyNsPKqq8s2zuyk8VoE+zJ+ur91G/F1XnHergMaW+3Mq6296l32vLsdcXHEqmbGrqDZ7jbLWChNlBxp2ZlFwcjzd3h6Pd0wQxtxqFk7ZTHZaaYM+R3Pl6aOj0O6H1QqLP6pwdThCuBVJYoTLRLfS8q8Pg9n29XEs1Xba9m3540EUReHOd3sTfUM3kv91J4GXxZz/pCYQMyaZbq/diqW4ko23zmPP35dScawQRaM4EyzVrnL8f9vY9eQS0l5cxu+3zyf/t4MNFoN/+wiS37+DwJ5xWKpsfDp1K8a86garvzm7/C/xACz7pkqmWwtRDzI7STSZqiqVjb+ZsKuO/x8Tq6VbDw9umdOdoowKPH0ujX+O66u70v4hV0dRk6qqGBKjuOwfN1OVVUz6JxtJuf8TfNuE0m7qIAKSojmxbCcnlu2k1U09ib6+G9nLdpK7IpXgXvFnXcH3Qmi9Pen8zPVsf+gzjBlFLJq2lUkf9mvxY6Q6XBOO3k9Hzgkr27ZY6NXXPdcEEqKpSUuMaBKHDliY8UgJs54q5e3Xy/jmqyr+9U45k572wmqy07H/xe3/09wtn5vGliUZrg7jnE5OaVdVFe9WQXSaMZLLP5uCb5tQiremY9yXQ9GWdEL6tSX6+m4ARAxOonjbMSozChs0Fp2fF11euAmfQA8qS82UF5gatP7myEOvJWmIozt12TdV5ykthDjp0vjpK1zug/cq8PZRWLslHICd2y3s2WXhq9VVfPX0ToZM60DigJaZyGz+7zHWfXgEgOPRPfBLcE0c1goT+176EVN+Ga1u7knksM5nlDk9mfEM9CHx8REAHPt0I4pWQ/jARGfZivQCvFsFofFs+K8R7+hAEl+8leGX5eIbfGmsJdP12mi2f32c5d9X8fSzBjw8Lp21koS4UNISI5pE2l4Lo27wQlEUFEWhe09P7pjgy7jXe5LQN4TfF6djrmx5U0wPbypg2T9SAYifeCV+CWFN9tyqqlKdc2pwrNbHk6qsYsoP5WEprqzlzJrbQVhKq6g+UYo+1A+/duHO4yU7MvCOCoBzbOZoyi8j84stlB28sEHA/h0j2WDu5rzf0qdeJ/QNwTfYk5JilY3rWn7rkxANQVpiRJMYeYM3Cz+ooEs3T4KCHLnzEmNPtDoY+UQSr1/7KwXpFUQntZyZSQXp5Xz+yDbsVpXwQYnE/aVvkzxvdZ6R3F/SyF2Rirmwgn7/vR+tlwfHssLxH38LftVmqqPDST8efN66VFWlTWwBZQdyaXXzqX2tKjOLKD+cj1dkAL6tzxyQraoqFemFVKQXcHThOkKvak/iEyMuqNVmRU4iwRtW8P1Lqdw1rw/xPc8ftzvS6jQMeziRAeEZ9Ol3abQ+CXGxJIkRTWLEKC/Wrqpm2uRi+g/S07OXJ+bWNjy9taRvK6Ki2NyiEpiqUsfeQFVGC/6douj42PBG3UrBVmWhYN1Bcn5OpWRHBvwxwUXRazmwwYx3h2gAvDqe2Zdlr6jCciIPj9goNPqaA0oVReHIkUCsnv41EpDs73ZiN1kJubwt4Ji5pJzWIqMoCoHdYgjuHU/54Xx0vnoUjwsbnKuqKr+tqMJcaWPxX1O4f/GVBMf6XFBdzV3yzbEMN+S7Ogwh3IYkMaJJxLfR8cqbgSz5oortKWa2bjaTUbaZkhPVBEZ5cfVEFw0UaQQ2q53PpqdQkO5YC6bLczc2yriRkwp/P8K+l37AWn6qC0KfmIDflT3x6XUZGm/Hr3rVbgdVBUWBP7r1qtMOY/x5HZbsPGwlZfhe2ZPgO2+skXBpPD3wuyqZA+8u58SeauzVJio3pJL45AgCujqmiCt/6lJSbXY0njrKDuZSeayQTk+NrFFnRXoB5sIKgpJbn/f1KYpC4hPXsiPXSPmBXD55cAv3LboCL/+GmRHV3Cwx9uQWwzZXhyGEW5AkRjSZmDgdDz/uz769Fj5OaUWAyYaiUWiVFEBUJ9etVtvQNFqFhD6hZO0upcuLN+EZ5Nuoz+cVFYDNZEUXFozvVT3xu6InVamHqNyRhr3ahHeXDnhEhaFoag6Bs+YXUfLtSnSBAbR6+XFsJWXkv/MpFetS8Lu6V42yflf3QhcahPGndXgmxBDy4J2Ux7WjPBviY/LPaIk56eh/1hFyRVt840Odx2xVFgo3HKZk93HS5vxAxLAk4u++Aq3+3EmJ1tuDLs+NZtvUReQfKee/T2znzvd6t8iNQsvyq3lnQRllZSozn2k5nwshGoMkMaLJqKrq+FWd5EHPmOaxyFtjUBSFAVPaUXH1IDyDGqfb4+R7CeDbOoSImffj2ToaRevosvGMj8ZyIo+K9dso+XI5qt2OR2QoXolt0Xdsg2/vy6jckQYqBNw0BABtoD8aX28sWXlnfU6vTm2x5hdRvmE75qPHnccO7dHTrsupViDVZkfRaqjONVK8NZ3u/7y9Rj1abw8iR3Qh5pZkqvPKOPzerxz7eCMJk6+p9TXrQ/3o8vxodj28mAO/5XN4YwHtrmi6gdJNpSzfxHtvlOPjq/DE0/5otS0vUROiocjsJNFkTp++a7e17FVJV+QkNloCYy6uZMcjX1C6NxuA9ONh6BNinQkMgD4+huDbryNq9jTi5j9P9HN/xX9QP6zFpZQs+QlrYQmWzBN4RIWhCw50nqcx+KJardhNZ84EUq02FA8P/Af0oWrHPqq2p2HJyObE397k8D7fU3st/fF3PvqfdQR2j8PQMfKMujyDfVF0Wnxigogc0YXSPVlU5xrP+9r920cQMao7AKvnH6rrW+ZWIjsa8PTRUlmhcuhgy5uxJ0RDkiRGNClVVVli7Inyx7+8pbN2tZips8a8ahbeu4mD6/NR1cZJ0qpzjex45HOMe7I4MPcnjmace6sGVVWdcXhEh+M/6HLCp91Jq5cfA40Ge5UJbZABRedIfuzVJrCroNWcMcAXcCQdl3fD9/LuaPx88OrYBs/WrYh58yk0Pl4cyw4n9asT7H3+O7ZM+pC8VWn4xAVjN5+5qaGqqs69mVAUTPllaPR1axiOHdsLvxA9bXqHtMhkWKNVaNUlEIBd2y2uDUaIZk66k0SjMptVqipVCgvttGqlRe+lOFtkTBVWVJuKT2DLWGJ9/UdHOPx7Afnlenq82fBdABXHCtk9Ywmm/HK0IYEE/t89Z4xzOd2fx4uoqgqq6jjHbke1WNF4ezkft+YWYK+owrNNjLP86XWcvG8zlmMvr8Qj1tHCougcXyPm4zkUffQ/7JXVKFoNGk8d5qIKbNXmM7YlUBQFc0klGZ/+TvmRfMKu6YBnoM85x9acTh/mT49FDzA4puH2bWpuYrsGcnRzITu3mxl7e8uciSVEQ5AkRjSab76q5J03yvH2UYhrrSUgUENSFw/KkysIifNF76vj5he6nb8iN1BRZGLzfx3bCsTd3qfB6y/bn8OumV9hNVbjER1O+GOT0AXXb0q68sesJNVuRxcSiK2sAltpmfPxqt0HUW029G3jHAdOzmQ66Y/71WmH0QYZ0Aaden5bSRnGH9fi3S2R0PvGUZmSSsU331Ow7iDR13dzDm62lpso2ZlB4e9HKfz9MP4dIomfcCWGxD+6nOqY+2l0LXsvpdiugQDs3CYtMULURpIY0ShWLK/mvbfKefxpf7y9FQ4esJJ5zMbqlSbKtx5i6F87Ygj3On9FbmL9x0exVNnw6xBBcJ82DVp38Y4MUv/+NbYqC55tYgh/dCJa/wuf8eR13PG+B/e4htKUTZi89qDodBi/X0PY8BswaBMgA0xxf+rms6uggao9B/Bs3QqNp4ezdcZ8PAfz0ePowoI58dy72MsrMYwaSNuOjvEvABmfbybr6+0E9YjDNyGM6Bu64d++5lYT9Zlt9POJjsQf+o1j24oY+tfE85/gRmL+SGIOHbRSXmbHz196/oU4G0liRKP4ekklo27wZti13gBcPQDMJpVdOyz8/ZVKPnlwC1M+uQIPL/f/RV1Zaub3xekAtB5/eYNP+z2xbBe2KgteSe0Im3anc92X+tJn1Oy280/qirW0mKLfVqLx8CDihlvxS+oKONaUOVn+ZDJzcuyM6UA6fv3/aG36o3XGkp2L5UQ+Xp3bEzJ5LKb96Rh/Xkdu2GA69QrAVmWmKqsYc2E5KAqRw5LwCLi4bpLqHCOfPLgF1Q6dh0UR3anlLJboH+pFYCtvbGXVHEu30fkySWKEOBv5ZIhG0bGTB8ZSe41jnnqF9E6XM+GDvngHeHB0S8PufuwqGz9Jx1xpwzchjJAr2jZ4/YlPjCDgpqGEPzKhwRIYcIxlCb56MPEPPk7clIfx79zNmYBVZ2dyaM7fsFVXo8/wxPOYB9bCEgBsxUZ8eiQ56vhjTI69rBJ92zgCrh+I1s8Xn+TOqGYL5kMZpB8PQ+vtScfpw+n76WRUq43NExay84kva+ztVF/eUQGEDXC0wKz+V8ubqTTlkyvYtCuCzpe1zEX9hGgIksSIRjFoqBdLl1TxyP8V89saE+VlpxIarU5Dzv4y/ELdf3+Y6jILGxcdBaD1HQ3XCmOtPNWVk5EXReCNg1E8am84Va1W7BVVNY7pMzzPmsCcj3dMaxKmP4PWy9H1ZM49QdZjL5Mx5e+oFivGFeupPph+avZTbCQ2Yzlag5/zmC4kyDFDymYj/bhjPRevCAOdnhpF308m4RXmT2VGUb1jO13c+MtRFNj7Sw45B84/RdudGMK90JxnkLMQlzrpThKNoktXDz75bwgfflDBpwsr+PE7DYFBGo55HKQ0p4qACK8W0fzv4a3luqe7sHpZOaFXtW+wevc8/T98E8LQXX8LSh0+pfZqE/lvf4o20J/QybeeM3GxW8xYS0scd04mXIoCKCgaBY/AU5srajwddaiqij4ymg7Pvoa5qJDqzHRK0jZhXLaakIlj0Ab64xEVjqL3pDrtMF6d2lK5dQ+mQ+n4DezjXL8m/XgY8TGOfYF0fl50fHzEBb03p/NtHULoNR3IX3OAjZ+mc9NzXS+6TiGE+5AkRjQKu10lqYsH0x71I2WLmdTdFgoL7Bw8kk/rHkH85Z/Jrg6xQWh1Grpf14r8Xg03sLTsQC6lu7Mwpp0gesBIdEG1Lz1vrzaR++oCzIczULw80V1zM3ifmcRYy8s49u6r2CrKz1qPxtubdjNfdN4vT9uNxlOPT9sOzmOewSF4Bodg6JZcY+CvZ2wkhhFXkf/eYlAUPONb4T/kCrw7N1xidy6RIy4jf82BFtM9eZKl2sb9fy0iL9fGZ/8LRe8lrTJC/JkkMaJRhYZrMRg0PDXbQEmJykptr/OfdInL+no7AD69u543gQEo/uIHzIcz0Ph60+ovU9B6n33ArM7Pn8A+V1L4609oPb1w9Pr8sVicqqLVeOJ/zHG/Ij+DE99/DEDk2DvxTzqzhUOf4VkjkfG7Mhm/K5OxFpY4tjkICz7jnNNbYxqKISkKRQNFmZWU5VfjH9YyZr3p9BrWrbNgNdnJz7MREydf10L8mXwqRKOw20GjgdfmGNn8u5lBw7wIClKwl6gtpp+/5EQV+9fkcqJ1L3wbaFa1ubiSvF/3AeA/9Mrzlq/afYDyXzcBEH3L3XjHnrkrtGq3Owfgtm4zlLjWg9Boa//oewdHExCbREn6bk588RH20bcR0OPM9W/+nMgA6EICzxt3Q9L56vFrH0mAZzUVReYWk8QoioJ/mBfFxyvJzbETE+fqiIRofiSJEY3i5EKyq1eaeGi6HwD/LenRYhIYgEMb8vnuhVQCLiuh+xvjGqTOE9/vRLXY8EyIRZ8QW2tZW0UlhQuWABDY96oa3T4nlab8Tun2LcTcNYWAE56UHNtDRYFj80YUUBz/Ayj4R7XDP8oxu8pmriIovhtaDy8KD24hd+nn2KurCep35iaNZ0tkatMYrTE93rqdYa0ONGidzYEh4mQSc+bWDUIISWJEI1BVR2tLRrqV3BwbQ0Y4fhm3pAQG4Nj2YgACLmuYHbntFhvZ3+0EwFCHVpjiT7/DVmLEIySM0KHXnfF40bpfKfj5OwBMv2yiUO9D+prF56xP0WidSYylopSjqz8lpOPlhHe+hrzUteT/+DW2qkpCBg4/YxZWfRMZAFuVGRQFrdfFTyFWtC1zouXJBSHz8iSJEeJsJIkRDc5mA50OPvu0kt59PfHx0TTahoiulLHNMT3Y0KVVg9RX8NsBzIUVaAP88end5bzlfXp1oTrtEJE33+6cSQSOJLLwlx8o+m0lABGXDSQs6SpUm5XCg1vwsfniofvTmBhUQs3hBBw2AaAYHf8t3P87gfHdiOoxnBPbf6Jo9c/oI6Lw73xx20XsWrAP47e/0GbCFbS6qedF1XU6U6UVrYcGnUfLSGoM4Y5lCHJz7OcpKcSlSZIY0eD+mFHLD99W8eTfzj8w1R2VFVRTmFGJokBAUlSD1BnQNYa4v/SljDDnpoq18UnuTEBgFzQep1oyVLudvO//R+mWDQBEJ19LZLfBKIqCovOgV/u7UZTzX+ANhhg6J41j774vKUnfid1qIqbvDZRWZ+HX6bKznlOf1hjFwwNbhYmsr3cQfWOP8276WBdv3n+Aoo2HuPO93rS/Muyi62sOTrbESHeSEGcnSYxoUCf30jl80EJBvp3Bwxxfwg29FL+rHdvm6ErySQhD59cwA0n1of60uecq58JwZ6OqKvaKSrR+vo61YE7riVGtVnKWfkbZ7u2gKMT0vRFj5l6OmyqJ6XM9vvtL2LP/fxjLsv8YBnP630Shb++/otU6Kjx0eDmVlfl06jCGtINLMR7fh91iImHIPVT/MeBJtVodXYenJVF1TWR8r+hB6Vc/UpVVTNGWo4T0TajPW3VWWi8P7DaVY9uLWlQS4+OrOH8YCCFqahltrqLZOJmsrP/NzKgbvNF7KS2yK+nYH11JAQ3UlXRSbQkMQOWmXWQ/+RoVm3ed8Zi13EjlkYOg1RLffzylGakYsw5QsG8jnnuy2b5jAfkFezGZSqg2lVBdXXzarebKuSazkYLCNI4eW0m3zneh9fSiPPcoh37+AL90G6rdTs7/FnPiy4/PGmfVnoNUbNl9zteh8dLje7VjtlPW0u3ne1vq5GS33rGUi1sFuDnpPDyKbWmRvPrPIFeHIkSzJC0xolHcMcGH6mpH8tLSWmEAirMcy/v7tgltkPpyftqDpawaa/t+tU5RrtpzAHtFJZatx+C6mmvueAQG0+quKXgeKcMnJIb01Z8C0OOye/D09KdN/CAsGen4aYPw0OhRT1sjRgW89p9w/q1am1tTqOylqqoQjUZLz66T2XXgM1BVLJVl6HaUU7ZnBwB2s7nGmBzTt7vI+99ifPp2w7f32bueAHz7dce4/DfK9ufU/w07C78Ex9/i5N+mJWhpg+GFaGhu1xLz7rvvEh8fj5eXF3379mXz5s2uDkmchUaj4OPjdv+86mzEY524/7MrG2yrgcwvtnBk3hqs+edpRTi5V1Hg2X+Ze0XFEBCTCOrJgaAKAQFx6HR6wsI6E+/TlVB9LAEe4QR6RDhunpEEeUbWSDaDPaPRaxyL5qmo+PtFcWXPR+l048N4+gbgFXB6i1HNljZbdVWNWM9F8WjgjQ01LfffmxCuVFRUxPjx4zEYDAQGBjJp0iTKy8++8vdJ8+fPZ8CAARgMBhRFoaSk5Kzlvv/+e/r27Yu3tzdBQUGMHj26XrHV+1N/9913s3bt2vqe1iC++OILHn30UWbNmsW2bdvo1q0bw4cPJy8vzyXxiEtXaGtfYi4LxDPw7KvjutrJLry6DOKtQ20NUIe4EMXZldwxtpD7J7acLjLhfsaPH09qaiorVqxg2bJlrF27lilTptR6TmVlJSNGjOCpp546Z5mvvvqKO++8k4kTJ7Jz507Wr1/PX/7yl3rFVu/upNLSUoYMGULr1q2ZOHEid999N61aNey4gHN5/fXXmTx5MhMnTgRg3rx5fP/99/znP/9hxowZTRKDEM2RqqocfeMFADpf96izJUZxDOHFbC6nqPgQ3qZywvRnrupbe+X1fPxkg855WmI0fj7E/aUvGk/p1T4Xa7WdrZvMBARKt5JwjbS0NJYvX86WLVvo1cvRhf32228zcuRI5s6dS3R09FnPe/jhhwFYvXr1WR+3Wq389a9/5dVXX2XSpEnO40lJSfWKr94/077++muysrJ44IEH+OKLL4iPj+faa69lyZIlWCyW+lZXZ2azmZSUFIYMGeI8ptFoGDJkCBs3bjzrOSaTCaPRWOMmRENIXXGC3/5zmPIjDbvybN396aKmqlhLirGWFINqPzWY+o8uoorKPPam/Zd9ZWf/rNT+HI66Nm15i92fv4DJWHjm818ArcGPNvdcRes7Lr/ougB0fnoSB0bQtl/DjFMSwh39+ZpnMpkuqr6NGzcSGBjoTGAAhgwZgkajYdOmTRdc77Zt28jKykKj0dCjRw+ioqK49tpr2bNnT73quaC25rCwMB599FF27tzJpk2baNeuHXfeeSfR0dE88sgjHDx48EKqrVVBQQE2m42IiIgaxyMiIsjJOfvAwDlz5hAQEOC8xcbWvoy7aBw7t5tZvbIaY261q0NpMNu/Oc5Pr+9rsEGpDUtB6+FJWNKVtIp2zABST7bM1GOQdahnDGGhnfHw8AXAZCrBXFGMaq/jmiVN3AvlExPEHW/34qZnz9ysUojmzDPTE33Gxd08Mx2D62NjY2tc9+bMmXNRseXk5BAeHl7jmE6nIzg4+JzX3ro4cuQIALNnz+Zvf/sby5YtIygoiAEDBlBUVPfu04vqMD9x4gQrVqxgxYoVaLVaRo4cye7du0lKSuKNN964mKobxMyZMyktLXXeMjMzXR3SJemfc8u4f2IxR7YUujoUt6c1+KGLCEXr7V3zgdO7bhQFnZcfcf1upn27UX887EhiNPX4yHcyXMVlXcbj5xd5suKTT+aoy8MLjf7MNXKUOrbSqFYrlceLqMoqrnNMQojaZWZm1rjuzZw586zlZsyY4VgEs5bbvn37Gi1Ou93xnfT0008zZswYkpOTWbhwIYqi8OWXX9a5nnp3RlssFr799lsWLlzIzz//TNeuXXn44Yf5y1/+gsHgWJ116dKl3HPPPTzyyCP1rf6cQkND0Wq15Obm1jiem5tLZGTkWc/R6/Xo9foGi0EIVwu6bSRBt410LHRXD86WmAaakKjRedDjrhcpa31mwuIVG0/grdfiEVF7t461oJgtMxai9dVz1TdTGyQuIS51BoPBeS2uzfTp05kwYUKtZRISEoiMjDxj8ozVaqWoqOic1966iIpyrHR++hgYvV5PQkICGRkZda6n3klMVFQUdrud22+/nc2bN9O9e/czygwcOJDAwMD6Vl0rT09PkpOTWblypXMKlt1uZ+XKlUydKl+Awr11fGw4tmoLRb4X+KVQYxCtgmq3Ya2uwGy24unpe0HdSedapPB8vURe0TEol4efp1TDM+7LYdaIHwhs5cMj3w9o8ucXwp2EhYURFnb+la379etHSUkJKSkpJCcnA7Bq1Srsdjt9+/a94OdPTk5Gr9ezf/9+rrrqKsDRSJKenk7r1nWffFDvJOaNN95g7NixeHmde6n1wMBAjh49Wt+qz+vRRx/l7rvvplevXvTp04c333yTiooK52wl0TydvG6q9hY0VfePF2U3N8yeNoYkxwj/0uPnn7Kt2u1UHjmIT8Jpa9QoimOdFLud8pzDeAWEk/rVywB07zrR2QJTbi0mozKVaK/26DSO1pxKm5FyaxGqakdFRcWO1W4htWwN5EGP7vdit1mx2hwDBDUaLUVHtkP31ngQcsGv2V7hWE+mIfZNArBbrNisKnZby9ksUaNTCApumRuoCvfQqVMnRowYweTJk5k3bx4Wi4WpU6cybtw458ykrKwsBg8ezMcff0yfPo5xeDk5OeTk5HDo0CEAdu/ejb+/P3FxcQQHB2MwGLj//vuZNWsWsbGxtG7dmldffRWAsWPH1jm+eicxd955Z31PaTC33XYb+fn5PPPMM+Tk5NC9e3eWL19+xmBf0bwEBTsuoBVFddsc0B2EJ/ix79dcyg/lnr9wA1ItVnLnLsC0/ygxEx5wJjKKVktg36upOnYEpW979Cc8CYjtRGlmGjv3fEynDjfj6xtJRUUOe8vW4tU2kcBAx0D3E8fXc/DQj2d9PoN/DH5+0fy+7Z+g2gmI60xJZhrHf/8aj50hxE15GK2Pr7N8VeYx8jf+SMjEm2tdeRig/LetAAR2b5gB9+X7HX+L8Lb+DVJfcxAS58vGHRFYLJLECNdZtGgRU6dOZfDgwWg0GsaMGcNbb73lfNxisbB//34qKyudx+bNm8ezzz7rvH/NNdcAsHDhQmc31quvvopOp+POO++kqqqKvn37smrVKoKC6r7Nhtst0DB16lTpPnIz4RGO3evK8lvO7KS4Ho4PmTE1u8HqzF2ZRtHSRfhPuAOPyLOPJ1E8dHhEhWHaf5Scrz+n9f89jvaPVtGwETegmk1o9F6Ux0PC4AkcXb2IkvRd7N2/hPZtR+HlFcShwz+gaE7tKKj3NGDwj/1jMJ8GFA2KosHXJ5SENsOp6GigXcg95O1dj6dfAMd//xoA3w5JaLxODTC2m83k/G8xlsJ8Sr9ZScg9Y875Wm0VlVRu3AZAq5t6XuQ751C6JwuA1j2DG6S+5sTDQ9aJEa4THBzM4sWLz/l4fHz8Ga2Fs2fPZvbs2bXW6+Hhwdy5c5k7d+4Fx+Z2SYxwPxF/JDEtaYp1fK9g7prXm7huQfxW0TB15q3aR9m+HFi5geDxN5yzXNC4UVSnHsKaX0T+8q+JHD0OcIx3UU6bLZSZtRad3oeQDn0pPLCJg4eW0S7hWvr1nV6jvvDwywgPP3OPo6qqYio6OgYIeodEo/X04sT2FQCEDBxO8IBhNcbYFKz8AUthPtpAA4G3XVvray1fuxW7yYpvQhgBl138Ypmqqp5KYnrIZolCXCokiRGN7vKrPPn78wZOxMW7OpQG4+XnQYer/hi82kBJTKubelC06QiV67cSePMwNN5nH3em8dITcu9Ycl+aj3HbZvwSL8MvsXONMuaCPAp++QFUlaA23Qnv0p+8PWs4dORHjGXH6dL5dgDKy09wJH3laQvkqaiqis1mpqzyBO3DpuAbFsexdV9SeHALAGHXjiao3zU1nq/y6CFKNjq2Iwm5Zwxa39rH9lT+vtPxmkd3b5ANQquySrCUVKLz1NCqS8BF19dc/Pafw3y/qZBbbvdh1A3e5z9BiEuM7JgmGl3HRA/G3+1LfHLLa+ZvSEHJrfGJC8ZWaaZ8XUqtZb06tsEw/GoAcr/9L7aKmpuxeYaGEzX2TtBqKT66g+qSXKJ6jEAfEIZH61hK2+opbaunOMxCQcFeCgr3UVi0n8KiAxQVH6TUeAy71UxFfibZKcsdCYxGQ+TNt5+RwNhN1eQs/RwAv/598O7a8byvtc+7Y+jw6FDCB3Wqz1t0TsY/WmFaXRaIzlN7ntLuIyu1lI3rzRTktZzBykI0JGmJEeICleZU8ftnxziUe5wODw85/wnnoSgK0Tf24NDbKyn7ZSP+g/uh1LIzc+DNQ6navR9LVi55Pyx1JC2n8e/SHY3ei+zPP8R4fB82SzXtr70fW/WpwXdeAeHEXXkLoPwxS+jkuBgFr4BwfMNiKQ4pxzM3jdBBI/DrdGa3U/5P32ItKUIbGkTQuFF1eq1aLw+iRjbcyro+ccH0HdeasLZ+DVZnc3ByHFl4hPzeFOJs5JMhmsS2LWZ8Vq/HXGl1dSgNxmZV+W3BYfKW78JW3TD7hkUOS0Lrq8eaW0D17gO1llU8PQidciue8a3wG3v1Wcv4tk8k5u770Hh5U5GbzuGfF+Dh45i9o6p2NFotga0vI7B1ZwJikwiIScTQqgN+EW3wCY2hrLWCzs+f1g9MP2sCYzeZqMx2LB8eOukWNN61Ly5pN5lp3arhd503JEVz/d+6cPnt8Q1etysZ8xxJTERky2ldEqIhSUuMaBL/d28RJcUqU7+qJLLj+VeTdAdBrbzxD9dTlmeibH8Ogd0ufqqw1tuTqGu7cHxJCsYVG/Dullhrec/WrYicNRVFUTBhPutKvt5xbYi950GOf/wvqoqyya3aT0Bib6xlFRx5dfY564648VYC4h2bM56rRcjSXiFq9jSq9hzAq1Pb876+4s+/p/DwQdo+MJDg3vHnLV9XQyMbb3l0V1FVlbI8x9o80hIjxNnJJ0M0iZO/JE/+smwJFEWhdQ/HOJ/S3ccbrN7oG7oT2COOtmPrNl7k9IGxRdlbKFj5I3ZzzTV59JHRxE6aStiomwjo0fvkiWerzLlwXvHvv2E3n7kDrmq1UpryO9Wt/lisztMDn56dzyj3Z7aSMio3plCZUYSmAcetVBwrJGN7EdYGWniwuagyWrCaHWNhTi5TIISoSVpiRJOIjdOyP81K/pFyOlzd9EvSN5Z2/ULZ89MJTvywm9jb+qDxuPiLjXd0IN1edaxYWV6P3MicmUPBB1+AzY5x51bCRtyIX6fLnEmOZ0gYniGnlhnX+vrRfvZc+GOzt7qoOLSf/B+WYi7II9hgwn9wvzqdp1pt5L+/GHu1Fb/24QR0jan7CzuPQ2+vZOuOTK6akMCIxxpmoHBzkHfYMVg7PEKDp17WiRHibKQlRjSJrt0d3RyZu0pcG0gD63ZdK/xC9Zjyysj9ZW+D1x8fk0/ljjTsVedvwfKIiSD0vnFogwOwlhRz4vMPyfp4PuaCs49BURQFRaOpUwJjKSki+/OFZH38L8wFeWgMfmjOM436JNVqo+DfX2LafxStjyednhrVINOqwdECVrIjE61O4fLx8Q1SZ3NRWWwmLExD1+4erg5FiGZLWmJEk+jaw/FF3NKSGA8vLVdPTODHV9PIWLyJyGGdUbQN99sg/7eD5L/1HZ5x0YRPvwetv+85yyqKgm+frnh3S6R02a8Yf1xL5eH9pL/7KkH9riGk/1A0+nPveXY2douF4vW/UvTbL6gWK2g0+A/uR+DoIWh8z79uid1soeC9xVTtSEPRakicORKf2Iaban/s098B6HFTLIFRLWsdlaTBkfx9dDhVVbLlgBDnIi0xokl06eqBRgOlJ6pa1PYDAL3HxhEU40PvkaENtiHkSV6RBjz8vTCnZ5E7519Yi0rPe45G70nQmOFEv/iIY2CwzUbx72uxlpfV+/lzv/mCwlXLUS1W9IkJRD33EMHjr69TAgNg/HENVTvS0Hjq6PzsjYT2O//g37oy7s2mOOUYGp1C/3sbrt7mRFEUfHzka1qIc5GWGNEk/Pw0tOug48A+K5m7SkgaHOnqkBqMp4+Oh5f1R6vTsCKnYZv+/dtH0P2N29j15BJM2XnkvPg+EU/ci0fE2fdWOp1HRCjhj0ygckca1vwi1B4BmDCj2VVOxvx/wp93Rv7jviG5L2FDr8MUZ8ZvzFVUZh0h6NZr8enTtd7dQF0ndyYt/xitbu5JYAOOg4FTrTDdr29FUKu6dW25C7tdZWzANkDGwghRG0nxRZN59El/FnwaTNvLz38BdjdaneOj1BhTfX3iQuj+5u14twrCVlhCzovzMGeeqPv53TthGHql874p0oStvAxbRXnNW2UFtsoKrJ5VmOIcs5s8W0fT6pXH8e3brc4JjK28AlVViY/Jd7TAzL6hwROYsgO5FG0+ikar0H9yuwatuzlIW5nD1b3ymPOc0dWhCNGsSUuMaDIDBjvGY5wwtsx/dqqqcmRzIQe//oV2Dw1usMGrAF4RBrq/eRu7ZnxFxeF88l+eR8Szj6ALCax3XbrgAKKef/jUgdPDVJQzuooUbd1nXFnyCsl95d9EDUhAva9/g74Hp7NVWwhv50dUYgAhceceJ+Suju8uoSDfTmWFbDcgRG1a5tVECBeoLrOyaOpWzFU2gvu1JaRPmwat3zPIl+6v3crup5fi3yGCtl3NHMuqfz2KTodnbMN355mP55D36gJspWUUbDhM6zsuR+dXv4HEdTV2WDn2Ide0qBWgT3dyAHz3nmcuXiiEOEW6k0STWr2ymqNvr6Ygvfy8Zd2Nt8GD3rfGAZD52aZGeQ6dnxddX7mFtg8MRFEU4mPyUc0Ns+XBxTAdOkb+y/OwlZbh2yaUHm+Oa7QE5iSNRsHLr+VNP7ZZ7WSlOgZwy/RqIWonSYxoUh/9u4IF/6rg4Lp8V4fSKK68OwGth4bS3VlkL9vVKM+h1Xv8sVkjqDY7xW+8R+GHS7FXnbm6bmNTbTZKvl3pmDlVVo1/pyi6vXYrnsGN08VTtPko5oVfYbO23G6W7L2lWKps+PopJLSTxnIhaiNJjGhSJ8fF7F5e94Gp7sQQ7sXAB9oDcPidXyjekdGoz1e8I4OytBOUr97E8Uf/QeHC/1F98Bjqn2ceNZKC9z+n9H8rUG12Qq/pQLdXbsHD0DjrtVQcK+TAP75l46J0Nn12rFGeoznY85Pjs9F/oB6tVmYnCVEbSWJEkxpxnReKAhk7iinOqnR1OI2i/+S2dB0Zjd2qcvC5r6k8XtxozxWcHE/XuWPxbhWIWmWifM1mcl98n+wZr1H63a/YjA3XbWcrr6Rs5UZspWXEx+QTH5NP7MBoPAK8SZw5kqS/X4fWu3HGcFhKK9nzt6WYyq3E9wqmz7jWjfI8rma3q84Ef9SNLWvxPiEag7RViiYVEamlTz9PNm0ws+vHbPrf2/KmxyqKwk3PdaXoeCXHd5VQuP4QPrf1brTnC+oeR++F91C66zg5K1LJX3MAa24BJV/9RNuh4RRw/s0Zz0W12qjavZ+K9duo2pmGarER6FsCnXsBED4wkfCBiWg8G++rxG6xkTr7W6pPlBIU483tbySj82iZv79sZjv33KVjzSoPru6vd3U4QjR7ksSIJjfqBm82bTCz+4eWmcSAYzuC8W8lc2h9AT1u9GdFTuM+n6JRCOweS2D3WNpPHUT+bwcp3Z2FX7tw/HCMPzr0zipKi3ToO8aDUjMJ0Pr74n1ZB+f9yq17qD5wlIrfd2I/rTXHr20Y+hA/5/3GTF7AMW394JsrKN2dhd5Px53v9sY3qOXO2PHw0nL/NH/un+bv6lCEcAuSxIgmN2ykF8//vZScA2XkHS4jvG3L/ML2D/Wix42ORd6GRu7j56wODbqv0rlovT2JHNaZyGGnWmBsVWZOLN+DvdpC+dotZ5xj6BxNp2uDnPc3Tl+KubACAI9AH8IHdyJyWBJ+bZt2B/LjS1LI+SkVRQO3vdqjxf5bEUJcGEliRJMLDNRw5TV6Dh6wYsytviQuTBXFZjKe/giPK3oQfUP3Jn9+jd6Dy/5xM7kr9mLKO3MVWJ/WITXuB3RphaLVED4okaBe8Wh0dV/wriH161LBcW8tQx7qSIermzaBampZe0poX5BK1VAvvL1lQK8QdSFJjHCJl98IxBCg8FVZmKtDaRK7l2eTvrUIzfZVeLcKIii5aQemKhqFwK4xdV7+P+nv1zdyROc3NHIfREbw0Lf9CYhs3DVnmoONi9J5/7sS7rrHh6dmB7g6HCHcQsscHSeavYBADYqicIthm6tDaRJ9x7Wm23WtsNtUDrz4NZXHi1wdUrNlLq6kOufUbt2BUd6Ntn1Bc2GptnFgVTYAI66TWUlC1JUkMcKlzGaV3ENlrg6j0SmKwuhnLyO2WyDVRit7nl5a40ItHCyllez5+9fseehjMnc13tT05mb/mjwqK1SiY7T0SJZVeoWoK0lihMsc3G/h6uRcFt75G9Vlrl86v7F56LWM/2cvAqO9qcoqYecDH5K3er+rw2o2ircdY+uUjynbdwKb1d4itxQ4lw2fHAXghptafquTEA1JkhjhMm3b6wgL11JeprLly8Zd2ba58AvVc+9H/RwtMmVWCj9bjd1ic3VYLmW32jiy4Dd2P7kEc2EFYQl+TP7oCsIS/M5/cgtwbFsRGTuK8fCEv9zl4+pwhHArksQIl9FoFCbe59hj5/fF6S16P5zTBUZ5c+9H/Rh4f3tufbUHw2MPujokl6nKLmHHw1+Q+dlmVBV6jY3jgS+uIqJ9y5+xdtL6jx2tMKNv9iY8wjWzwIRwV5LECJe67gZvQkI1lOZUs7exV4RrRrQ6DYOndiCygwFwzMTx+ekHji/d1mT7HjUHHitXUbbvBF4GHeNe78noWZfh6X3pXMhtVjtBZscg77vvbZxNM4VoyWSKtXApvZfC7Xf68M4b5az/+ChdRkRdkmMC8g6X8dMb+7Bb0yhOOUbi48PxCGjZXQtDI/dheagj1eVWBtzXjqDolv16z0ar07Dg0xCOZ1iJiZOvYyHqS1pihMvdfqcPnno4vruEzB2XzoyU04Ul+DHyiSR0nhqKfj/C1ikfU7y95Y0TKjuYy/65PzE4LA1wDHa+6dmul2QCAziXGJAERogLI0mMcLmQUC3Xj3asjXF4c6GLo3ENRVG4/C/x3Lf4SsLa+GIurGD3E19y9D/rsFvdf+Cvalc5/lUKOx9aTM7yPc7ZOJeyY9uKyM9z/7+tEK4kSYxoFh6Y5se3K0J59/GWv2ZMbaISDTzwxVX0uiUWVYWMxZvY+egXrg7rglmMVWQu2cqWif/h8PursVnsdBoUQc/RdVs5uKWyWe3898kdDOqXx6aNJleHI4TbkjZM0SxIc/opnj46Rs/uSrt+YSz7Ryp9hxroH7kPgJ8y22Pcm01A15hmPXZItasceGMFBatSsZocs868/HUM/WtH+tzWulnH3hT2/pJD6YkqgkM0dOvRcnflFqKxSUuMaHZ65G6i5ESVq8NwuS7Do3jsl0H0Gx/vPBaduoad0/9LyuSPyV62C1tV81kkULWdmiI/LHo/QaY8rCY7UYkGRs++jCdWDqbvuPhLPoGxWuz8+r5jWv24O3zw8rq03w/R/BUVFTF+/HgMBgOBgYFMmjSJ8vLyWstPmzaNjh074u3tTVxcHA899BClpTVXKc/IyGDUqFH4+PgQHh7O448/jtVqrVds8vNXNCtf/beS2TNLaXtVKne83cvV4biczkMDHqd+a5QXmPDw1lKRXsDBN1dw9N9riby2C9HXd8c7OtAlMZoKyzmxbBcnftjN1EW9CY5xDNIdPLUD10xqS0zXwEs+cTnd+o+OkHe4nKBgDXdNkmnVovkbP348J06cYMWKFVgsFiZOnMiUKVNYvHjxWctnZ2eTnZ3N3LlzSUpK4tixY9x///1kZ2ezZMkSAGw2G6NGjSIyMpINGzZw4sQJ7rrrLjw8PPjHP/5R59gU9RJalMJoNBIQEMDW1Aj8/KURqjk6uN/CTdcWYLXCX/6ZTNLgSFeH1OxUGS1s+zqT3xcfo/h4JQCKAobLYuj22q3OhEFV1QZPHlS7SlV2MWX7cyk7kEv5gRzK07KxWR1fIwPub8eQqR0b9DlbkqLjlbw3+leqq+Gl1wMYfculOSvLHZSX2enVOZfS0lIMBkOjPMfJa1Lbp/6B1uvidmq3VVdz+B9PNXi8aWlpJCUlsWXLFnr1cvywXL58OSNHjuT48eNER0fXqZ4vv/ySO+64g4qKCnQ6HT/++CPXXXcd2dnZREREADBv3jyefPJJ8vPz8fSsWzertMSIZqV9Rw/uuc+X+e9WsOwfqbTtF4reR/6Zns7b4MGVdyXQ7442HPwtj42L0jm0oQCDUs6wqFN7Mb08dhuKVoN/hwj8O0bi3yEC71ZBKJq6JTaqqlKdYwRVdbbyVBzJJ+X+T84oG9c9iH7j40kaIknnuaiqyrIX91BdDX36eXLjGNmtWjQ8o9FY475er0ev119wfRs3biQwMNCZwAAMGTIEjUbDpk2buOmmm+pUz8nkSqfTOeu97LLLnAkMwPDhw3nggQdITU2lR48edapXrg6i2XngIX9++Laa45nVrHr3ANc+nuTqkJoljUahY/8IOvaPoDi7ksriU+NjzJVWyvefQLWDcU+W87jWxxN9qB9BvdvQ7oEBgOPiunXyR2fUby6qwGqspudNMQx9vhsAthA7qQYdYW38aNU5gOjOgcR2DSSszaWxz9HFUO0wvHcVWdsVZr8YIF1swsk/U0XreXGdIjaz4/zY2Ngax2fNmsXs2bMvuN6cnBzCw8NrHNPpdAQHB5OTU7dV1gsKCnj++eeZMmVKjXpPT2AA5/261guSxIhmyNtb4ZkXDEy5u5jfPz1K9+tbEZUY4OqwmrWgaB+CTmvV1Xlpmbb0GrJSS8lOLSUrtZQT+0qxVJqpzCgioZOeoX/MeFJVlbXpZ1+fR6tTsJpPDdjVemh46rdhaLRyAa4vjVbhwYf9ueseX/wN0p0tGkdmZmaN7qRztcLMmDGDl19+uda60tLSLjoeo9HIqFGjSEpKuqhk6lwkiRHN0jUDvRgxyovl31fzzbN7mPLpFXLhrAeNRiG8rT/hbf3pcYNjTRab1U7+kXIqS8z4BtX8YrvnP33PqMPLz4Pwdn7oPGvuZSR/h/pTVZWxAdsBJIERjcpgMNRpTMz06dOZMGFCrWUSEhKIjIwkLy+vxnGr1UpRURGRkbV3H5eVlTFixAj8/f1ZunQpHh4ezsciIyPZvHlzjfK5ubnOx+pKkhjRbM2cZSBli5nbb7D9sSmiXDwvhlancW44eTpFUUjoE+qCiC4N2XtLWf3c77R/IYDuPWVNGNE8hIWFERYWdt5y/fr1o6SkhJSUFJKTkwFYtWoVdrudvn3P/PFzktFoZPjw4ej1er799lu8/jRwuV+/frz44ovk5eU5u6tWrFiBwWAgKanuQwjkJ4FotiIitaxcH86k+/y4LXiHq8MRot7sNpVvntvN3j1WPv5PhavDEaLeOnXqxIgRI5g8eTKbN29m/fr1TJ06lXHjxjlnJmVlZZGYmOhsWTEajQwbNoyKigoWLFiA0WgkJyeHnJwcbDbHVhvDhg0jKSmJO++8k507d/LTTz/xt7/9jQcffLBeA5GlJUY0a576U60v5korHt5aGRAp3Mbvi9PJ2lOKn7/CjL83zjRdIRrbokWLmDp1KoMHD0aj0TBmzBjeeust5+MWi4X9+/dTWelY8mHbtm1s2rQJgHbt2tWo6+jRo8THx6PValm2bBkPPPAA/fr1w9fXl7vvvpvnnnuuXrFJEiPcwu6dZv7zf7/Qc2In+tza2tXhCHFe2XtLWfHGXgCmz/AnPEJ7njOEaJ6Cg4PPubAdQHx8PKcvOTdgwADqsgRd69at+eGHHy4qNulOEm5h80YzxzNt/PjSHo7vLnF1OELUqrLEzOJHUrCYYdBQPePukEXthGgMksQIt3DPfb4MGa7HYobPHkmhotjs6pCEOCu7TeXLJ3dQklVFbJyWOa/JtgtCNBZJYoRbUBSFOa8FEp+gpTSnmv8+vh277ZLZMUO4EYvJRpSnES8veHt+EAGB8jUrRGORT5dwG/4GDW//Kwhvb4XDvxfwy9v7z3+SEE1sfOQu5i0M4rOloSQmeZz/BCHEBZMkRriV9h09eOFVx+q9a/99mP1rcl0ckRAO1eUWxvinAI7FBjt1lgRGiMYmSYxwO6Nu8ObuSb70H6Rn6tWZrg5HCMxVNv5910aefryU6mrp5hSiqcgUa+GWHn/aH43G8YsX4/nLC9FYVFXlm2d3k3OgjDVFGkpL7HhFynRqIZqCtMQIt6TTKY4EBhjjn8KhDfl1WpdAiIa26bNj7FyWhVYLb7wXSIQkMEI0GUlihNubNdPIh1M2s3xumiQyoknt+ekEP7yUCsBjT/nT5/K6L5cuhLh4ksQIt9eth2MA5fqPjvLr+wddHI24VOxfk8uSJ7dht8Mt47yZcK+vq0MS4pIjSYxwe2Nu8+GpWY59aVa9d5B1Hx5xcUSipasyWvh6ZgpWK4y8wYtn5wTIgnZCuIAM7BUtwl2TfKmstPPmq+Usn5uGh5eGvuPiXR2WaKHujNlNwntB/O/LSl56PRCtVhIYIVxBkhjRYtw31Y+KcpUP3q/guxdSMVfauPqetq4OS7QgFpON28N2AnDlNXquvEbGwAjhStKdJFoMRVF4dIY/Ux70RVFgWEKOq0MSLcien0/wr+t+5ugRq6tDEUL8QZIY0aIoisKjTxpY+mMoo27w5hbDNleHJFqArV9l8N/HtpFzws6iDytcHY4Q4g+SxIgW6fQ9a66u3MIPL+/FarG7MCLhrtYtPMzXs3Zjt8PYcd7M/GMQuRDC9WRMjGjRbDaV+ycWkZaaR/7Rcm5/IxlPb1mMTJyfqqqs+Od+1v77MAD33u/L9Jn+MgtJiGbELVpi0tPTmTRpEm3atMHb25u2bdsya9YszGazq0MTzZxWq/DoDAPe3goH1+Wz8N7fKSuodnVYopmzWuwsfWaXM4GZPsOfx54ySAIjRDPjFknMvn37sNvt/Otf/yI1NZU33niDefPm8dRTT7k6NOEGru6vZ8GiYAwGhcydJbx/23qy00pdHZZozlQVMnPRaODZOQFM/j8/V0ckhDgLt+hOGjFiBCNGjHDeT0hIYP/+/bz//vvMnTvXhZEJd9GzlydffBvK/00q4ujhav5z5zpGv9iTLsOjXB2aaIbGhe5k6Pwg9u21yjRqIZoxt2iJOZvS0lKCg4NrLWMymTAajTVu4tLVJkHHF1+HclV/PdXVsGvhLmxWGewrHHYvzyb7gzXOGW0hoVpJYIRo5tyiJebPDh06xNtvv33eVpg5c+bw7LPPNlFUwh0YAjTMWxjEe/8sZ+ztPkQF72CJsaerwxIuVFlqZtk/Utn1fTYA3Xt6cM1ALxdHJYSoC5e2xMyYMQNFUWq97du3r8Y5WVlZjBgxgrFjxzJ58uRa6585cyalpaXOW2ZmZmO+HOEmdDqFh6b7ExXtmKV0i2Ebx95dzW//OYzdJrtgX0r2r83j7dFr2fV9NhoN3DfVlyuultYXIdyFS1tipk+fzoQJE2otk5CQ4Pz/2dnZDBw4kCuuuIL58+eft369Xo9eL19IonZpqRY+eL8C2Efar7mMebEbIXGyI3FLVl1u4YeX97Jt6XEA2rTV8tLrgXTr4eniyIQQ9eHSJCYsLIywsLA6lc3KymLgwIEkJyezcOFCNBq3Hc4jmpnEJB0vvBLAP541krG9mHlj1jD40ST63NYajUam1LY0qqqy8N5NZO0pRVEcm4c+8oQ/Xl7ytxbC3bhFJpCVlcWAAQOIi4tj7ty55Ofnk5OTQ06O7I0jLp6iKNwyzodvfw6l7xWeVFWpLHsxlQ+nbKLkRJWrwxMNbGzAdmY8pCEmVsvH/w1m5jMGSWCEcFNuMbB3xYoVHDp0iEOHDhETE1PjMVWVMQyiYcTE6li4OJhFH1Xy2hwjR34vZPHENdz33TC0Hm6R74tzSE8pwlRu4enrswAYOsKLawbo0UvyIoRbc4tv5gkTJqCq6llvQjQkjUbhzom+LF0eRreeHjz8mB+3hexwdVjiApUVVPP1s7v5990b+e5vKRTk25yPSQIjhPtzi5YYIZpamwQdi78K4eTQq1sM2/j2f5UsWuHL4GkdCY7xcW2AolbVZRbWfXiETR8fpqrK8WNn6HAv9HpJXIRoSSSJEeIctNpTFzybTeWt18o5nlnK3p+z6XVrPAPua4dvsMx+a04sJhubvzjGmvmHqCyxANCthwePPeVP777ytxKipXGL7iQhXE2rVXjrX0FceY0nFgtsXJTOWyNX8uu8g5gqra4OT/yhKKOS5a+mUVliIaGdlrfnB/H51yGSwAjRQklLjBB1lNTFgwWfhrBxnYm5c8pI3W1h5TsH2PTZMW74exeShkS6OsRLjqqq5B4sI7KDwbFdQDJU3edL6zY6bhrrjU4n3UdCtGSSxAhRT/2u0vPld5789H01b7xSRsYxE9e2OsoxJIlpKqqqcmxbMT+/uY+sXcUsWxkGBsfX2WNPGVwcnRCiqUgSI8QF0GgUrr3em8HDvVi32kTvvnp649g4cMqzPtjtKsk3xRKW4OfiSFuW8kITO5dlkbI0k7xD5QDo9ZC620KbBPk6E+JSI596IS6Cp6fCoGGnNgusqLCz9fMjVFaorFt4hLjuQSTfHEuX4VHofeXjdqHK8qv57oU9HFiTi/WPIUh6Pdw4xocHH/YjIlLr2gCFEC4hA3uFaEB6vcKr/wxk4BA9Wi1k7Chm6TO7eG3gz/zvbzs5vrvE1SG6DVPFqQHT42NSyUrJw2qFrt09mP0PA+tSInjupQBJYIRoZEVFRYwfPx6DwUBgYCCTJk2ivLy81vLTpk2jY8eOeHt7ExcXx0MPPURpaelZyxcWFhITE4OiKJSUlNQrNvlpKEQD0ukUBg/zYvAwL/JybXzzVRVf/beS9CM2tn19nCvalMBl/QHHuA5FkYGnp6sut7B/TR5bl2Rgyytl+ZqwP/avUnjhlUBat9HSoaOHq8MU4pIyfvx4Tpw4wYoVK7BYLEycOJEpU6awePHis5bPzs4mOzubuXPnkpSUxLFjx7j//vvJzs5myZIlZ5SfNGkSXbt2JSsrq96xKeoltOyt0WgkICCArakR+PlLI5RoGqqqsm2LhSVfVDL1ET9axTh+O3y3tIo3/mWnY/8IOg2MIKqT4ZJMaoqzKtm3Opd9q/PI2FqAxbG8CxoNLP0xlI6dJGkRTa+8zE6vzrmUlpZiMDTOYPGT16Tud76I1tPr/CfUwmauZscnTzd4vGlpaSQlJbFlyxZ69eoFwPLlyxk5ciTHjx8nOjq6TvV8+eWX3HHHHVRUVKDTnWo/ef/99/niiy945plnGDx4MMXFxQQGBtY5PmmJEaKRKYpCch9Pkvt41ji+8udqsvdWk73XyK/vH8QQ4UVi/3A6DoggoW8IHvqW302y5t+HWPHm/hrHWrfRct2N3twyzoeo6Jb/HgjRkIxGY437er0evf7C10nauHEjgYGBzgQGYMiQIWg0GjZt2sRNN91Up3pOJlenJzB79+7lueeeY9OmTRw5cuSC4pMkRggX+fvzBq4ZpOfXFdWsX2vGmFvN5v9msPm/GXj6aHli1WC8/Ny/FUJVVcryTWTuLGbfmjx6jo7h8UHHAIi53MQqLfTo5cnAIXoGDvEioa18LYlLi+Go6aLXNLJaTQDExsbWOD5r1ixmz559wfXm5OQQHh5e45hOpyM4OJicnJw61VFQUMDzzz/PlClTnMdMJhO33347r776KnFxcZLECOFuQkK13DzWh5vH+mCqVtm00cSvv5hYtaKaiEgNd0TvdpYdfpMJu9VOVKKBqMQAohINRLT3x8Or+bVUnBzXcmKfkRP7jOTsN1JRZHY+3jmwCAYFANCrjyfrt0cQGCjdu0I0hMzMzBrdSedqhZkxYwYvv/xyrXWlpaVddDxGo5FRo0aRlJRUI5maOXMmnTp14o477rio+iWJEaIZ0HspXDPQi2sGevHMCwaKi+zOx8xmlezdRVjMkLmzxHlco4HQNn507B/O8Ec7OY8XZ1XiE+SJ3qdxPt5Ws43yQjMVhSbKC02UnKgiINKbxAERAAxRdvDCk3k1ztFoIKGtjiuv0TPiulN9/zqdQmDgpTcOSIjGYjAY6jQmZvr06UyYMKHWMgkJCURGRpKXV/PzbLVaKSoqIjKy9gU+y8rKGDFiBP7+/ixduhQPj1Mty6tWrWL37t3Ogb4nh+eGhoby9NNP8+yzz573NYAkMUI0O4qiEBxyqoVFp4NvloexN9XCvlQLaXstpKVaKSq0k3e4nJ6JVm4xVAFgt6tcNjIHmw08vLX4hejxC/H84796YrsF0nN0rLPsho/O3YQbluBHx/6OxMRSbePdsb9RXmii2njmXlGDh+n52w2OmQWqv4arB+iJjdOSmORBp8462nf0wMtLkhUhmouwsDDCwsLOW65fv36UlJSQkpJCcnIy4EhA7HY7ffv2Ped5RqOR4cOHo9fr+fbbb/Hyqjlw+auvvqKqqsp5f8uWLdxzzz389ttvtG3bts6vQ5IYIZo5jUYhoZ2OhHY6rrvRG3D8asnLtbNvrwX/02baGY0qnp4KVVUqliobxccrKT5e6Xw8tCqPW+7KBxw7cz/z2rn7tAcN1fP09ScTE5WXsiswObrd0ekgOERDaJiG8AgtvfqeGrSsKAoffBzcYK9fCOE6nTp1YsSIEUyePJl58+ZhsViYOnUq48aNc85MysrKYvDgwXz88cf06dMHo9HIsGHDqKys5NNPP8VoNDoHHIeFhaHVas9IVAoKCpzPJ7OThGjhFEUhIlJ7xkJvgYEatu+PpKLCTkG+ncJ8OwUFNgoLHPfbttOdVgfceLP3OZ8joUZZhQ8/D8FgUAgJ0xIQoFyS08GFuBQtWrSIqVOnMnjwYDQaDWPGjOGtt95yPm6xWNi/fz+VlY4fTNu2bWPTpk0AtGvXrkZdR48eJT4+vsFik3VihBBCiD9pynVirrnqGXS6i1snxmqtZu265xo13uZIruRCCCGEcEuSxAghhBDCLUkSI4QQQgi3JEmMEEIIIdySJDFCCCGEcEuSxAghhBDCLUkSI4QQQgi3JEmMEEIIIdySJDFCCCGEcEuSxAghhBDCLUkSI4QQQgi3JEmMEEIIIdySJDFCCCGEcEuSxAghhBDCLUkSI4QQQgi3JEmMEEIIIdySJDFCCCGEcEuSxAghhBDCLUkSI4QQQgi3JEmMEEIIIdySJDFCCCGEcEuSxAghhBDCLUkSI4QQQgi3JEmMEEIIIdySJDFCCCGEcEuSxAghhBDCLUkSI4QQQgi3JEmMEEIIIdySJDFCCCGEcEuSxAghhBDCLUkSI4QQQgi3JEmMEEIIIdySJDFCCCGEcEuSxAghhBDCLUkSI4QQQgi3JEmMEEIIIc6pqKiI8ePHYzAYCAwMZNKkSZSXl9daftq0aXTs2BFvb2/i4uJ46KGHKC0trVFuy5YtDB48mMDAQIKCghg+fDg7d+6sV2ySxAghhBDinMaPH09qaiorVqxg2bJlrF27lilTppyzfHZ2NtnZ2cydO5c9e/bw4Ycfsnz5ciZNmuQsU15ezogRI4iLi2PTpk2sW7cOf39/hg8fjsViqXNsiqqq6kW9OjdiNBoJCAhga2oEfv6SvwkhhDi78jI7vTrnUlpaisFgaJTnOHlNuuaqZ9DpvC6qLqu1mrXrnmvweNPS0khKSmLLli306tULgOXLlzNy5EiOHz9OdHR0ner58ssvueOOO6ioqECn07F161Z69+5NRkYGsbGxAOzevZuuXbty8OBB2rVrV6d65UouhBBCiLPauHEjgYGBzgQGYMiQIWg0GjZt2lTnek4mVzqdDoCOHTsSEhLCggULMJvNVFVVsWDBAjp16kR8fHyd65UkRgghhGghjEZjjZvJZLqo+nJycggPD69xTKfTERwcTE5OTp3qKCgo4Pnnn6/RBeXv78/q1av59NNP8fb2xs/Pj+XLl/Pjjz86E526qHtJIYQQQjQ4z/1Z6DSeF1WHxm4GcHbNnDRr1ixmz559RvkZM2bw8ssv11pnWlraRcUEjqRq1KhRJCUl1YijqqqKSZMmceWVV/LZZ59hs9mYO3cuo0aNYsuWLXh7e9epfklihBBCiBYiMzOzxpgYvV5/1nLTp09nwoQJtdaVkJBAZGQkeXl5NY5brVaKioqIjIys9fyysjJGjBiBv78/S5cuxcPDw/nY4sWLSU9PZ+PGjWg0GuexoKAgvvnmG8aNG1dr3SdJEiOEEEK0EAaDoU4De8PCwggLCztvuX79+lFSUkJKSgrJyckArFq1CrvdTt++fc95ntFoZPjw4ej1er799lu8vGoOXK6srESj0aAoivPYyft2u/28cTnPqXNJIYQQQlxSOnXqxIgRI5g8eTKbN29m/fr1TJ06lXHjxjlnJmVlZZGYmMjmzZsBRwIzbNgwKioqWLBgAUajkZycHHJycrDZbAAMHTqU4uJiHnzwQdLS0khNTWXixInodDoGDhxY5/jcLokxmUx0794dRVHYsWOHq8MRQgghWrRFixaRmJjI4MGDGTlyJFdddRXz5893Pm6xWNi/fz+VlZUAbNu2jU2bNrF7927atWtHVFSU85aZmQlAYmIi3333Hbt27aJfv35cffXVZGdns3z5cqKiouocm9t1Jz3xxBNER0fXe1U/IYQQQtRfcHAwixcvPufj8fHxnL7k3IABA6jLEnRDhw5l6NChFxWbW7XE/Pjjj/z888/MnTvX1aEIIYQQwsXcpiUmNzeXyZMn8/XXX+Pj4+PqcIQQQgjhYm6RxKiqyoQJE7j//vvp1asX6enpdTrPZDLVWOjHaDQ2UoRCCCGEaGou7U6aMWMGiqLUetu3bx9vv/02ZWVlzJw5s171z5kzh4CAAOftz4sACSGEEMJ9uXQDyPz8fAoLC2stk5CQwK233sp3331XYz65zWZDq9Uyfvx4Pvroo7Oee7aWmNjYWNkAUgghRK2acgPIIWGTLnrFXqvdzC/5Cxo13ubIpd1JdV1s56233uKFF15w3s/Ozmb48OF88cUXtS62o9frz7laoRBCCCHcm1uMiYmLi6tx38/PD4C2bdsSExPjipCEEEII4WLSpyKEEEIIt+QWLTF/9ueFdYQQQghx6ZGWGCGEEEK4JUlihBBCCOGWJIkRQgghhFuSJEYIIYQQbkmSGCGEEEK4JUlihBBCCOGWJIkRQgghhFuSJEYIIYQQbkmSGCGEEEK4JUlihBBCCOGWJIkRQgghhFuSJEYIIYQQbkmSGCGEEEK4JUlihBBCCOGWJIkRQgghhFuSJEYIIYQQbkmSGCGEEEK4JUlihBBCCOGWJIkRQgghhFuSJEYIIYQQbkmSGCGEEEK4JUlihBBCCOGWJIkRQgghhFuSJEYIIYQQbkmSGCGEEEK4JUlihBBCCOGWJIkRQgghxDkVFRUxfvx4DAYDgYGBTJo0ifLy8lrPue+++2jbti3e3t6EhYVx4403sm/fPufjO3fu5Pbbbyc2NhZvb286derEP//5z3rHJkmMEEIIIc5p/PjxpKamsmLFCpYtW8batWuZMmVKreckJyezcOFC0tLS+Omnn1BVlWHDhmGz2QBISUkhPDycTz/9lNTUVJ5++mlmzpzJO++8U6/YFFVV1Qt+ZW7GaDQSEBDA1tQI/PwlfxNCCHF25WV2enXOpbS0FIPB0CjPcfKaNCRsEjqN50XVZbWb+SV/QYPHm5aWRlJSElu2bKFXr14ALF++nJEjR3L8+HGio6PrVM+uXbvo1q0bhw4dom3btmct8+CDD5KWlsaqVavqHJ9cyYUQQghxVhs3biQwMNCZwAAMGTIEjUbDpk2b6lRHRUUFCxcupE2bNsTGxp6zXGlpKcHBwfWKT1ev0m7uZKNTebndxZEIIYRozk5eJ5qis8KqmuEiL0tW1Qw4WndOp9fr0ev1F1xvTk4O4eHhNY7pdDqCg4PJycmp9dz33nuPJ554goqKCjp27MiKFSvw9Dx7i9OGDRv44osv+P777+sXoHoJyczMVAG5yU1ucpOb3Op0y8zMbLRrUlVVlRoZGdlgsfr5+Z1xbNasWWd97ieffPK89aWlpakvvvii2qFDhzPODwsLU997771aX19JSYl64MABdc2aNer111+v9uzZU62qqjqj3O7du9XQ0FD1+eefr/d7eEmNibHb7WRnZ+Pv74+iKK4Opwaj0UhsbCyZmZmN1v/aksn7d+Hkvbtw8t5dnOb8/qmqSllZGdHR0Wg0jTfyorq6GrPZ3CB1qap6xrXtXC0x+fn5FBYW1lpfQkICn376KdOnT6e4uNh53Gq14uXlxZdffslNN91Up9jMZjNBQUH8+9//5vbbb3ce37t3LwMHDuTee+/lxRdfrFNdp7ukupM0Gg0xMTGuDqNWBoOh2X2Y3Ym8fxdO3rsLJ+/dxWmu719AQECjP4eXlxdeXl6N/jx/FhYWRlhY2HnL9evXj5KSElJSUkhOTgZg1apV2O12+vbtW+fnU1UVVVUxmUzOY6mpqQwaNIi77777ghIYkIG9QgghhDiHTp06MWLECCZPnszmzZtZv349U6dOZdy4cc6ZSVlZWSQmJrJ582YAjhw5wpw5c0hJSSEjI4MNGzYwduxYvL29GTlyJAB79uxh4MCBDBs2jEcffZScnBxycnLIz8+vV3ySxAghhBDinBYtWkRiYiKDBw9m5MiRXHXVVcyfP9/5uMViYf/+/VRWVgKO1qXffvuNkSNH0q5dO2677Tb8/f3ZsGGDc5DwkiVLyM/P59NPPyUqKsp56927d71iu6S6k5ozvV7PrFmzLmoU+aVM3r8LJ+/dhZP37uLI++cegoODWbx48Tkfj4+PrzGLKzo6mh9++KHWOmfPns3s2bMvOrZLamCvEEIIIVoO6U4SQgghhFuSJEYIIYQQbkmSGCGEEEK4JUlihBBCCOGWJIlp5kwmE927d0dRFHbs2OHqcJq99PR0Jk2aRJs2bfD29qZt27bMmjWrwVbEbIneffdd4uPj8fLyom/fvs61HsS5zZkzh969e+Pv7094eDijR49m//79rg7LLb300ksoisLDDz/s6lCEG5Ikppl74on/b+8OQpp+HziOfzbByDShQD2UUREGWY1aWxDUAsmgQ3aoDh3UgxBMKQb9sw51iS5JDRYtTxWrMDBqFBVYoAUWDI2wYIcVlmxYK8hMosXm//AD+fsP/M/Dv2dPe79ghz3fHT58+TI+PM+zPf/K+6hzSPF4XLlcTt3d3Xrz5o0uXLigy5cv6+TJk6ajFaRbt24pEAjo9OnTGh4e1saNG9XY2KhPnz6ZjlbQBgYG5Pf79eLFC/X19enXr1/atWuXpqamTEezSiwWU3d3tzZs2GA6CizFT6wL2MOHDxUIBHT79m2tW7dOL1++lMvlMh3LOufOnVM4HNa7d+9MRyk4Xq9XW7Zs0cWLFyX9c77Y8uXL1dHRoc7OTsPp7JFOp1VVVaWBgQFt377ddBwrfP/+XZs2bdKlS5d05swZuVwuBYNB07FgGWZiCtTHjx/V1tamSCSisrIy03GsNjExoSVLlpiOUXAymYyGhobU0NAwM+Z0OtXQ0KDnz58bTGafiYkJSeI5mwe/3689e/bMev6A+eIfewvQ9PS0WlpadPjwYbndbo2OjpqOZK1EIqFQKKSuri7TUQrO58+flc1mVV1dPWu8urpa8XjcUCr75HI5HT16VNu2bVN9fb3pOFbo6enR8PCwYrGY6SiwHDMxf1BnZ6ccDsecr3g8rlAopMnJSZ04ccJ05IKR7737T8lkUrt379b+/fvV1tZmKDn+dn6/X69fv1ZPT4/pKFYYGxvTkSNHdOPGDSOnN+Pvwp6YPyidTuvLly9zfmbVqlU6cOCA7t27J4fDMTOezWZVUlKiQ4cO6dq1a//vqAUn33tXWloqSUqlUvL5fNq6dauuXr0qp5O+/t8ymYzKysrU29urpqammfHm5mZ9/fpV0WjUXDhLtLe3KxqN6unTp1q5cqXpOFa4e/eu9u3bp5KSkpmxbDYrh8Mhp9Opnz9/zroGzIUSU4A+fPigb9++zbxPpVJqbGxUb2+vvF6vli1bZjBd4Usmk9q5c6c2b96s69ev84U4B6/XK4/Ho1AoJOmfpZHa2lq1t7ezsXcO09PT6ujo0J07d9Tf3681a9aYjmSNyclJvX//ftZYa2ur1q5dq+PHj7Mkh3lhT0wBqq2tnfW+vLxckrR69WoKzP+QTCbl8/m0YsUKdXV1KZ1Oz1yrqakxmKwwBQIBNTc3y+12y+PxKBgMampqSq2traajFTS/36+bN28qGo2qoqJC4+PjkqTKykotXLjQcLrCVlFR8VtRWbRokZYuXUqBwbxRYvBX6evrUyKRUCKR+K3wMen4u4MHDyqdTuvUqVMaHx+Xy+XSo0ePftvsi9nC4bAkyefzzRq/cuWKWlpa/nwgoEixnAQAAKzEbkcAAGAlSgwAALASJQYAAFiJEgMAAKxEiQEAAFaixAAAACtRYgAAgJUoMQAAwEqUGAAAYCVKDAAAsBIlBihC6XRaNTU1Onv27MzY4OCgSktL9eTJE4PJACB/nJ0EFKkHDx6oqalJg4ODqqurk8vl0t69e3X+/HnT0QAgL5QYoIj5/X49fvxYbrdbIyMjisViWrBggelYAJAXSgxQxH78+KH6+nqNjY1paGhI69evNx0JAPLGnhigiL19+1apVEq5XE6jo6Om4wDAvDATAxSpTCYjj8cjl8uluro6BYNBjYyMqKqqynQ0AMgLJQYoUseOHVNvb69evXql8vJy7dixQ5WVlbp//77paACQF5aTgCLU39+vYDCoSCSixYsXy+l0KhKJ6NmzZwqHw6bjAUBemIkBAABWYiYGAABYiRIDAACsRIkBAABWosQAAAArUWIAAICVKDEAAMBKlBgAAGAlSgwAALASJQYAAFiJEgMAAKxEiQEAAFaixAAAACv9G1pfY3MwEzoaAAAAAElFTkSuQmCC", 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", 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oyhNPPKEkJiYqsix3O93697//vQIov/3tb3t9T7qbYq0oiuJyuZRf/epXSnp6uqLRaJTk5GTl4Ycf7jLVXFF8U6wvvfTSXl9vyZIlyqRJk045frp6AOWee+7x/2y1WhWPx9Pr653IZrMpP//5z5W4uDhFp9Mpc+bM6fXU8CNHjijLly9XgoODlaioKOWOO+5Q9u/ff8oUcLfbrfz4xz9WoqOjFUmS+jTdeihW7FUURSkvL1euvvpqxWQyKcHBwcpll13W7Wq7gLJkyRL/z52/u6d7nPz7KQjCyCb2ThJGtOeee47777+fkpKSU2ZJCYIgCOc2kcQII5aiKEybNo3IyEg2btwY6HAEQRCEEUaMiRFGHIvFwtq1a9m4cSMHDx7kgw8+CHRIgiAIwggkWmKEEaekpIT09HTCwsL40Y9+xG9+85tAhyQIgiCMQGJuoTDipKWloSgKzc3NIoERBMHv+eefJy0tDb1eT3Z2Njt27Dht2RdffJHzzjuP8PBwwsPDWb58+SnlFUXh0UcfJT4+HoPBwPLly8+48erZpC/3E3ybxmZlZaHX65kyZYp/O5dAEkmMIAiCMOK99dZbrF69mscee4w9e/Ywbdo0cnJyqKur67b8pk2buOGGG9i4cSNbt24lOTmZiy66qMsq17///e/585//zAsvvMD27dsxGo3k5OT4t7A4m/X1fm7ZsoUbbriB22+/nb1797JixQpWrFjBoUOHhjnykwRsXpQgCIIg9NLcuXO7LE3g8XiUhIQE5cknn+zV+W63WwkJCVHWrFmjKIpv1/i4uDjlD3/4g7+M2WxWdDqd8u9//3twgx+B+no/r7322lOWjMjOzlbuuuuuIY3zTM6pgb1er5eqqipCQkKGbCl1QRCEkUJRFNra2khISBi0lYntdjtOp3PA9SiKcsr7sE6n63bTWKfTye7du3n44Yf9x2RZZvny5WzdurVX17NarbhcLiIiIgAoLi6mpqamy/YroaGhZGdns3Xr1kFZ0LE3But+Qu/vaX/u59atW1m9enWXYzk5Obz//vuDEnt/nVNJTFVVVY9LsQuCIJyNysvLSUpKGnA9drud5BQjDfUD3yA0ODiY9vb2Lscee+wxHn/88VPKNjQ04PF4iI2N7XI8NjaWvLy8Xl3vwQcfJCEhwZ+01NTU+Os4uc7O54baYN5P6P097c/9rKmpCei9Op1zKonp3Bgua9WjqLT6M5Q+95R+8jLt5ceIiZ/O2IkrAh2OIAScoigc2vMKreZSQlKzSLn4ljOfNIJ4nHbyXv51rzbF7A2n00lDvZfPtsVhDO5/y46l3UvOvBrKy8u7bF7aXSvMYPjd737Hm2++yaZNm7pswRJog3U/Yfjv6UhxTiUxnc1sKq0elW7k/CKPFLHzvkN7+THqag6QlnkhhqDIQIckCAFVU7mbVnMpklpL4vlXj9r3jcHuPjcGywSHDLx7ymQydfnAPZ2oqChUKhW1tbVdjtfW1hIXF9fjuX/84x/53e9+x5dfftllX6zO82pra7vs4VVbW9vjDvBDYbDuJ/TunvbnfsbFxfXr/g81MTtJ8DPGpxGSmgWKl9LCDYEORxACyuW0UFDgm0Iam30RWlNEgCM6d2m1WmbNmsX69ev9x7xeL+vXr2f+/PmnPe/3v/89TzzxBOvWrWP27NldnktPTycuLq5Lna2trWzfvr3HOs8G/bmf8+fP71Ie4Isvvgj4vRJJjNBFbHYOALXVe7FZGgIcjSAETtHRT/HYLegj44ieviTQ4ZzzVq9ezYsvvsiaNWvIzc3l7rvvxmKxsGrVKgBuueWWLgNVn3rqKX75y1/y0ksvkZaWRk1NDTU1Nf4xI5Ikcd999/H//t//Y+3atRw8eJBbbrmFhIQEVqxYEYiXOKz6ej9/+tOfsm7dOv70pz+Rl5fH448/zq5du7j33nsD9RKAc6w7STizoLhUQlKzaCvNo7RoA1lTrg10SIIw7MxNRdRU7gIg8fxrkFSqAEckXHfdddTX1/Poo49SU1PD9OnTWbdunX+waVlZWZcZWH//+99xOp1cffXVXeo5caDrf/3Xf2GxWLjzzjsxm80sWrSIdevWjahxM0Olr/dzwYIFvPHGG/ziF7/gkUceYezYsbz//vtMnjw5UC8BOMe2HWhtbSU0NJRJd/121PZtDwdrTSkF//ccSBJzFv6MIGNUoEMShGHj9brZveU5rJZ6IibPI+mC0ZvIexx2Dv/jEVpaWno19uRMOt9DvzmUMKAxHO1tXhZNrhq0uEarwbqfcO7eU9GdJJwiKC6VkLSJoCiUFa0/8wmCcBYpL96M1VKP2hBM3ILLAh2OIAg9EEmM0K3jY2P2YbXUBzgaQRgeVks9pcUbAYhfvAK1PijAEQmC0BORxAjdCopNJiR9EigKpYWiNUY4+ymKwrEj76F43ASnjCds3IxAhyQIwhmIJEY4rbiO1pi66v1Y2mvPUFoQRrfaqj2Ym4qQVGoSz79abE0iCKOASGKE0zLEJGEaMwVQKCn4MtDhCMKQ6bomTA66ULHQoyCMBiKJEXoUN+9iQKKh9iDtrVWBDkcQhkTnmjC6iDiiZywNdDiCIPSSSGKEHukj4wkbNx2AkoIvAhuMIAyBE9eESbpArAkjCKOJSGKEM4rJzgFJorE+l1ZzeaDDEYRB4/W6OXbkfQAiJs/DmJAe2IAEQegTkcQIZ6QPjyE8y7fvSEnB5wGORhAGT3nxV1gtdWJNGEEYpUQSI/RKzNyLQJZpbjxGS3NJoMMRhAGzWRooLfZtdBq/+AqxJowgjEIiiRF6RRcaScTEuQAUH/uMc2i3CuEspCgKx3I/8K0JkzyOsHEzAx2SIAj9IJIYoddi5lyIJKtoaS6mubEg0OEIQr/VVu2hufFYx5owK8WaMIIwSokkRug1bUg4kVMXAL6xMaI1RhiNTlkTJiw6wBEJgtBfIokR+iR61jIktZa2lnKa6vMCHY4g9FnR0U/w2C3oI+PFmjCCMMqJJEboE43RRNS0hYBv3RhF8QY4IkHoPd+aMLsBSBRrwgjCqCeSGKHPomdegKzR0d5WRUPt4UCHIwi94lsT5j0AIibPxxifFtiABEEYMJHECH2mNhiJmrEYgJLCL0VrjDAqlBdvxmqp71gT5tJAhyMIwiAQSYzQL9EzlqLSGbC211JfcyDQ4QhCj3xrwmwEIH7xCrEmjCCcJUQSI/SLSmcgauZSAEoKvkTxegIbkCCchqIoHM19/4Q1YWYEOiRBEAaJSGKEfouadh4qvRGbtYHa6r2BDkcQulVXvR9zY4FYE0YQzkIiiRH6TaXVEzP7AgBKCzfgFa0xwgjjclkpzP8IgJi5F4o1YQThLCOSGGFAIqcsRB0Ugt3WRE3lrkCHIwhdlBz7HJezHV14LNEzzw90OIIgDDKRxAgDImu0xMxeBkBZ0Qa8XneAIxIEn7aWCqrKtwOQeP5KZJU6wBEJgjDYRBIjDFjE5PlogsNw2FuoLt8R6HAEAUXxciz3A0AhbNwMgpMyAx2SIAhDQCQxwoDJag0xc5YDUFa0EY/HGeCIhHNdVfl22lrKkTU64hddHuhwBEEYIiKJEQZF+MS5aEwROJ1tVJVvC3Q4wjnMYW+hqGAdAHELLkETHBrgiARBGCqjNon53e9+hyRJ3HfffYEORQBklZrYORcCUF60GY/bEeCIhHORoigcO/I+XpeDoLhUIqcsDHRIgiAMoVGZxOzcuZN//OMfTJ06NdChCCcInzAbbVg0LpeF8pKvAh2OcA5qqD1EY30ukqwiadm1SPKofIsTBKGXRt3/8Pb2dm666SZefPFFwsPDAx2OcAJJVhG/4BIAykq/wmFvCXBEwrnE5bJ2DOaF6NkXoI+MD3BEgiAMtVGXxNxzzz1ceumlLF++/IxlHQ4Hra2tXR7C0DKNmUpQfDqK20VJweeBDkc4hxTlf9qxJkwMMbPP/P4gCMLoN6qSmDfffJM9e/bw5JNP9qr8k08+SWhoqP+RnJw8xBEKkiSRcJ5vNkhN5R7aW6sCHJFwLjA3FVFTuROApAuuRVZrAhyRIAjDYdQkMeXl5fz0pz/l9ddfR6/X9+qchx9+mJaWFv+jvLx8iKMUAILiUgkdOx1QKDr6aaDDEc5yXq+bY0feByBi8jyMiRmBDUgQhGEzapKY3bt3U1dXx8yZM1Gr1ajVajZv3syf//xn1Go1Hs+p+/bodDpMJlOXhzA84hZciiSraG48RlPD0UCHI5zFKkq+wWqpQ2UIJm7BZYEORxCEYTRq1uFetmwZBw8e7HJs1apVZGVl8eCDD6JSqQIUmdAdXWgkkVMX0LDva4qOfkp4ZCaSNGpyZmGUsNuaKSneAED8ou+i1gcFOCJBEIbTqEliQkJCmDx5cpdjRqORyMjIU44LI0PMnAtpOrITS1s1ddX7iE2YGeiQhLNMQd6HKG4nxoQMwrNmBzocQRCGmfjTWBgyakOwf3PI4mOf4/W4AhyRcDZprMulse4IyDKJ569EkqRAhyQIwjAbNS0x3dm0aVOgQxDOIGr6eTQe+BZHu5nKsq0kpy8OdEjCWcDjcVKQtxaA6OlLxJowgnCOEi0xwpCS1Vpi510MQGnpRlxOa4AjEs4GxUfXYbc1owkOI2buRYEORxCEABFJjDDkwrNmo4+Mx+OwUVa8MdDhCKNcc2MhlWVbAEhadi0qrS7AEQmCECgiiRGGnCTLxC/0TX2tLNuC3dYU4IiE0crtdpB/6G0AIibPJyQ1K8ARCYIQSCKJEYZFcGoWwcljUbweSgrWBzocYZQqProOh92M1hRB/KLvBjocQRACTCQxwrCQJIm4+b7NIWur92KzNgY4ImG0aTGXUlW+DYCkZdeh0vZu5W5BEM5eIokRhk1QXKqv+V/xUpj3UaDDEUYRr9fN0cP/ARTCJ84lOHlsoEMSAuD5558nLS0NvV5PdnY2O3bsOG3Zw4cPs3LlStLS0pAkiWeffbbbcpWVlXzve98jMjISg8HAlClT2LVr1xC9gtHpN7/5DQsWLCAoKIiwsLBenXPbbbchSVKXx8UXXzzosYkkRhhW8eddAbJMY30ujXW5gQ5HGCXKizdjba9FZQgmfqHoRjoXvfXWW6xevZrHHnuMPXv2MG3aNHJycqirq+u2vNVqJSMjg9/97nfExcV1W6a5uZmFCxei0Wj49NNPOXLkCH/6058IDw8fypcy6jidTq655hruvvvuPp138cUXU11d7X/8+9//HvTYRvU6McLoo4+IJXrGEup3b6Qg70PCIjNRqcSOw8LpWdvrKC3ybS2QsHgFaoMxwBEJgfD0009zxx13sGrVKgBeeOEFPv74Y1566SUeeuihU8rPmTOHOXPmAHT7PMBTTz1FcnIyL7/8sv9Yenr6EEQ/uv3qV78C4JVXXunTeTqd7rQJ5GARLTHCsIuZcxGa4DDstibKisSUa+H0FMXL0SP/QfF6CEnNImzcjECHJAyi1tbWLg+Hw9FtOafTye7du1m+fLn/mCzLLF++nK1bt/b7+mvXrmX27Nlcc801xMTEMGPGDF588cV+1zcS9PaeDodNmzYRExPD+PHjufvuu2lsHPyxkKIlRhh2Kq2OhMVXUPrJGspLNhObMJMgY1SgwxJGoOqKnbQ0lyCptSSef7XYWmCEeNOcjc7d/xZUR7sLeI/k5OQuxx977DEef/zxU8o3NDTg8XiIjY3tcjw2Npa8vLx+x1FUVMTf//53Vq9ezSOPPMLOnTv5yU9+glar5dZbb+13vX010PsJfb+nQ+3iiy/mqquuIj09ncLCQh555BG+853vsHXr1kHdsFkkMUJAmMZMJThlPO1l+RTkrmXKrFXiA0rowuFopbDgUwDi5n8HrSkiwBEJg628vByTyeT/Wacb3oULvV4vs2fP5re//S0AM2bM4NChQ7zwwgvDmsQMpt7e04ceeoinnnqqx7pyc3PJyurfWkzXX3+9//spU6YwdepUxowZw6ZNm1i2bFm/6uyOSGKEgJAkicSlV3H0td/T3HiUhtpDRMdNCXRYwghSkPshXqcdQ0wyUdPOC3Q4whAwmUxdPnBPJyoqCpVKRW1tbZfjtbW1AxpzER8fz8SJE7scmzBhAu+++26/6wy03t7Tn/3sZ9x22209lsnIyBikqHx1RUVFUVBQIJIY4eygC4smetYF1O38gsL8j4iIGo9KrQ10WMII0FB7iIbagyDJJC27FkkWw/fOZVqtllmzZrF+/XpWrFgB+FpR1q9fz7333tvvehcuXEh+fn6XY0ePHiU1NXUg4Y4K0dHRREdHD9v1KioqaGxsJD5+cDdrFe8MQkDFzF6GJiQch72F8pLNgQ5HGAFcTgtHj7wPQPTMpRiiEwMbkDAirF69mhdffJE1a9aQm5vL3XffjcVi8c9WuuWWW3j44Yf95Z1OJ/v27WPfvn04nU4qKyvZt28fBQUF/jL3338/27Zt47e//S0FBQW88cYb/POf/+See+4Z9tc3kpWVlbFv3z7KysrweDz++9re3u4vk5WVxXvvvQdAe3s7DzzwANu2baOkpIT169dzxRVXkJmZSU5OzqDGJlpihICSNVriF11O2adrKCvZTFzibPQGsUbDuawg7yNcznZ04bHEZg/uG54wel133XXU19fz6KOPUlNTw/Tp01m3bp1/sG9ZWRnyCS12VVVVzJhxfDbbH//4R/74xz+yZMkSNm3aBPimYb/33ns8/PDD/PrXvyY9PZ1nn32Wm266aVhf20j36KOPsmbNGv/Pnfd148aNLF26FID8/HxaWloAUKlUHDhwgDVr1mA2m0lISOCiiy7iiSeeGPRxTyKJEQIuNHMqxsQxWCoLKTr6KROn3RjokIQAaazLpa56L0gSyRdej6wWawgJx917772n7T7qTEw6paWloSjKGeu87LLLuOyyywYjvLPWK6+8csY1Yk681waDgc8++2yIo/IR3UlCwEmSRMLiFYBEfc0BzM3FgQ5JCAC3y8bRI77m6KgZSwiKO/vHJQiCMDAiiRFGBEN0IhGTswEozP0QRfEGOCJhuMkqDWFT5qILjyVu3uDvsSIIwtlHJDHCiBE37xJkrZ72tioqS7cEOhxhmLVMCCJuwSWMveFnyGKWmiAIvSCSGGHEUAcFEzf/EgAKj35Cc2PBGc4QzkayWgzVEwShd0QSI4wokVMXEpY1GxQvhw++jtXSEOiQhCGmKArN40XLiyAIfSeSGGFEkSSJpAuuISguFY/DxqG9a3C77IEOSxhEHreD5sYCWlvKsdvMmLN0vZpFIgiCcDKRxAgjjqzWkHrpKjTGUGyWevIPvS0+5M4SLpeV3Vv/TPGxzzh6+D8c2PU/tBQeEvtmCYLQLyKJEUYkjdFE6mWrkGQVDXWHqSj9JtAhCQOkKF6OHnqX8MhxzJx3DxOn3kDotLmUfvwyjYe2dpQRyaogCL0nkhhhxAqKTSF+8QoAio5+SktzSUDjEQZGkmS8XjfBJt/eKUHBMcTMWU7Ssmup3PAOLQX7RYuMIAh9IpIYYUSLnLKAsHEzQPFyZP8bOB3tZz5JGHEUrwev141aE4TN0ghA0zgNiqIQMSmb+EWXUbN1Hc7WpgBHKgjCaCKSGGFEkySJxAuuRRcei9PRSu7BN8VCeKOQJKuQZTWRMROoKP2GYvlIl1aXkNQJSLKMxykGcQuC0HsiiRFGPJVWR+oltyKptZgbCygtXB/okIReUBQvpYUbKC3aSGXZVrxeNzFxU4mdfzFl616jOX+PP5HRR8YhqdV4bJYARy0IwmgiVpUSRgV9ZBxJF1xD+eevU1q4Ab0hgtiEmWIMxQi269tn0AdFIksqnE4LlaXfMHX27cTMXoYky1R88W+s1SVoTRFYa0pRPF6Ck8cGOmxBEEYRkcQIo0Z41iws1cU0HdxC/qG3qaveR+aEKwgyRgU6NOEkVeXb0epMTJl5G4rixe2ykX/4XXbv/Btj0n5C9Mzz0YXH0Fp8GGttGSqdnrE33B/osAVBGGVEd5IwqiQuvpLY7BwklZrmxmPs2vIMJQVf4PG4Ah2acAJZVuP1unG77UiSjEZrJPH6H2BMHEPRe3/H47BjSp9E4pKVpH7nFpKWXYckibcjQRD6RrxrCKOKpFIRm53DuJseIDhlPIrXQ2nhenZv/TNtrZWBDk/ooNEE4XbZsNuaAWga62v0TVp2LbrQKBoPdWzwKXoDBUEYAJHECKOSLiya9CvuJOU7t6I2mrBZ6tm7/W9UlHwtZi+NAJExEwgKjuXw3ldxOtqRZN9bjUpnQGMKx2O3Ar5ZS4IgCP0lkhhh1JIkibCx0xh34wOYMiajeD0U5n/MwT2v0N5ahdfrDnSI54wTV9rtTCInTb8JQ1Aku/b8DVt9JR6Hb/q04nGLRFMQhEEhBvYKo57aYCT10lU0HdxC1dcf0NxwlN0NR5EkGYMxmuDgOIwhcRhD4jEGx6HTh3Y7q0lRvHi9brweNx6PE4/bjtvtwO22d3xv93/vcTtRFA9erwdF8fgWczvhK4qCrNKgUmlRqbT+72WVFpVKg0qlQ6czoTOEodOHolbrA3DnBk/X+ymhKIpvM88bf0jZZ69R+um/0BhNyBot9voqxn3vwYDFKgjC2UMkMcJZQZIkIqcuxJg4hqqvP8BWW4bHYcPaXou1vRZq9vvLqtR61Gq9fxVZr+LG6/VAAFsHVGodOr0vodF3fA0KjiU4OA59UMSIHfRamP8JLmc7arWB8KixREZn+ROazkQm9eKbaSk8hMduwet2kpJzMyrd6E7aBEEYGUQSI5xV9JFxZKy4C0VRcLWbsTdWY2+o7vhahb25rqMl5Qwrw8oyKq0BlVaPrNOj0upR6Y7/LKu1SCo1kkqFJHc8VGokWfZ9BbxuF16XE6/b2fWry4nXacfV3oKr3YzHYcPjdhxPuE4ORaXBGByHMTiO4BNalDTaoKG5ib10YPdLeD0uwqPG4bCZObL/dVIzlpGSsRSA5nEaULxIkkzomMkBjVUQhLOTSGKEs5IkSWhDwtGGhGNKm+g/7vW4cTTXobhdHUmIGrnj64k/I8vDtpCex+nA1W7G1WbG1d6Ms82Mq63Zl3g11uD1uGhrKaetpbzLeXpDJKHhqZjCUgkNSyUoOGbYWmzaWitxOtqYveCngK8rLjwyk9wDb+L1ugm99BL/xCNbfSWG6MRhiUsQhHOLSGKEc4qsUmOISgh0GF2otDpUEbHoI2JPeU7xenCYG463KDVUYWusxtXahN3WiN3WSG3VHgDUaj2msI6kJjyVkNBkVCrtkMSsVutRFC+t5jJMYSlIkkx03BRkWc3hA6+TlBtD+ITZtBQeoKXgAEnLrkVWD00sgiCcu0QSIwgjmCSr0HcmOGOn+497HDas1SVYqkuwVBdjrSnD7bbT1JBPU0O+r5AsExKSSGh4OqHhaYSGpaLRGgclLlmlQZZUNDUcxRSWAvhaY+TzphGrr6el6CBhWTPRR8RhXDJGJDCCIAwJkcQIwiik0hkISZtASNoEABSPB1tjFdaqYizVJVirinFZWvzdUBUlXwEQZIwhPDKTpLRF6A0R/b6+TmcibWwOh/a8gkZrJOjCJcefC4+hrTQPxetFFx4zsBcqCILQA5HECMJZQFKpCIpJJigmmajpi30Dm9uasVQWYakqwlJVjKO5FqulDquljqqK7cQlzCY+aQ7BpsR+jf+JjB5P1pRryDv0NrEmO2FZs9GFRuJoaQBJAq8XxFp2giAMIZHECMJZSJIktKYItKYIwifMBsBtbcdSXUTjgW9pLz9GdcV2qiu2E2SMIS5xFjEJM9DpTH26TmzCTOzpoVRuepfWosNIGg1OcwMZV/0IWSO6kARBGFoiiRGEc4Q6KJjQMVMJHTOV9ooCmg5vo6XgAFZLHUVHP6Xo2DoiIscRmziLqOgJyCrNaevqXAOmebwWExPQr7wHZ0sjXpcTQ3QCmuCw4XthgiCcs0QSIwjnoOCkTIKTMvEstWE+to/m3J1Yq0v8A4PVaj2hERmgKHg7FgX0rVDsRvG6sdmaiZi2gPixlyLJKv90dkEQhOEkkhhBOIepdAYiJ88ncvJ8HM11NOftojl3F652M411R3o8t2HvV4SkjCckZfwwRSsIgtCVSGIEQQB8s4ri5l9C7LyLsVQUYm+qRVKpTlgMUNVlQUCNaH0RBCHAzskkxtHSSFCMWEFUELojSTLByWMJTh4b6FAEQRB6NDJ3lRtiBW8+TcX6/8PZ1hzoUARBEARB6KdzsiUGFJoOb6M5dycRUxYQM3sZGmPfppYKgiAIghBY52RLzJRZ3yc0PB3F66Fx/9fkrfktNVs/weOwBTo0QRAEQRB66ZxsiTGFpTBtzp2YmwopPvYZbS3l1O38ksaDW4iedQFRUxeJhboEQRAEYYQ7J5MY8K1oGh6ZSVjEGBrrjlB87DOsljpqvv2Ihr2biZm9jIjJ85HVp1/wSxAEQRCEwDlnk5hOkiQRFTuJyOgsaqv3Ulq4Hru1maqv3qd+zyZi5iwnfOJcZNU5f6sEQRAEYUQRn8wdJFlFXOJsYuKnU1O5m7KiDTjazVRufIe63RuInXsR4VmzkGSxo50gCIIgjAQiiTmJLKtJSM4mLmEmVRU7KCvaiKu1iYov36Ru13pisy8ibOwMJPmcHBMtCIIgCCOGSGJOQ1ZpSEpdSHzSHKrKtlFWvAmnuZ7yz16nbscXxMy9iLCx00UyIwiCIAgBIj6Bz0Cl0pKcvpjsxQ+SlnkRKp0BR3Md5Z+9xtHX/4D56F4UxRvoMIURxOOwYa0rx1pbhrWmtMvDUl2CpboEa10FXrcr0KEKwqjy/PPPk5aWhl6vJzs7mx07dpy27OHDh1m5ciVpaWlIksSzzz57Spknn3ySOXPmEBISQkxMDCtWrCA/P38IX8HodPnll5OSkoJeryc+Pp6bb76ZqqqqHs+x2+3cc889REZGEhwczMqVK6mtrR302ERLTC+p1TpSx1xAYsoCKsu+pbz8GxzNtZStexXdjs+JnZtD6NipSJLIC881zjYz1upiLFVFWKqKsTdUA8oZz5NUaoJiUzAmZmBMyCAoPg2VVj/0AQvCKPTWW2+xevVqXnjhBbKzs3n22WfJyckhPz+fmJiYU8pbrVYyMjK45ppruP/++7utc/Pmzdxzzz3MmTMHt9vNI488wkUXXcSRI0cwGo1D/ZJGjfPPP59HHnmE+Ph4Kisr+fnPf87VV1/Nli1bTnvO/fffz8cff8zbb79NaGgo9957L1dddRXffvvtoMYmKYpy5nfbs0RrayuhoaEsXPY4avXAPizcLrs/melcJE8XEUfcvIsxjZkskpmzkOL1YG+swVpbhqO5DlebGWttGa5utq/QakP8g8AlSeo4Kvmf97gduFyWridJMoboRPSRcaiDQtBHxmGISUYXFi26LYV+8TjsHP7HI7S0tGAyDXxV8s730Hu/uRJdcP+Xn3C0u/jrovf6FFd2djZz5szhr3/9KwBer5fk5GR+/OMf89BDD/V4blpaGvfddx/33Xdfj+Xq6+uJiYlh8+bNLF68uFdxDcRg3U/o3z3tr7Vr17JixQocDgcazalxt7S0EB0dzRtvvMHVV18NQF5eHhMmTGDr1q3Mmzdv0GIRLTH9pNboSR2zjMSUBVSUdrTMNNVQ+skr6KPiiZlzEaGZU0QyM0opioKrrRlrTZmvW6i2FFtdBUp3XUCSTHBIPKFhaYSGp2EKT0Wn6/lNRFEUbNYGWppLaGkupqW5GLutGVtdOba68i5lZY0WfVQihphEDDHJvkQnIlbMlBPOGU6nk927d/Pwww/7j8myzPLly9m6deugXaelpQWAiIiIQavzbNPU1MTrr7/OggULuk1gAHbv3o3L5WL58uX+Y1lZWaSkpIgkZqRRawykZS4nKXUh5SVfU1H+LfaGaso+XYMuIo7YuRcSmjlN/CU9StjqK6nfs4n2snzctvZTnlepdYSYkgkOiUOrDyU4JA5TaAoqta5P15EkiSBjNEHGaOKT5gBgt5lpNZdgtzXjsLfQ3lZNe1sVXpcTa3Ux1uri4+erNZhSJxA5/TyMCRkntPYML6/bhdvWjtvajtva1vG976vicWMaM4XgpLEBi08Y2VpbW7v8rNPp0OlO/b/U0NCAx+MhNja2y/HY2Fjy8vIGJRav18t9993HwoULmTx58qDUGQi9vad99eCDD/LXv/4Vq9XKvHnz+Oijj05btqamBq1WS1hYWJfjsbGx1NTUDDiWE4kkZpCoNQbSx15EUuqijm6mb3E01fjGzIR/RsycCwkbN1389TwCKYqCtaqYul1f0lZ6whuiLBMSnEBIaBIhocmEhCYTZIwastY1vSEMvWH6SbF5sVrqaW+toq21gvbWKtpbK/G4nbQUHqCl8AD6qESipp9H2LgZw7LCtKJ4qdn6KY0HvsXrtPdYtvHAt+jCY4mcupDwCbPFmJ+zxIaKsaiC+v/B6LE6AEhOTu5y/LHHHuPxxx8fSGj9ds8993Do0CG++eabYb/2QO8n9P2ePvTQQzz11FM91pmbm0tWVhYADzzwALfffjulpaX86le/4pZbbuGjjz4K+B8ooyaJefLJJ/nPf/5DXl4eBoOBBQsW8NRTTzF+/PhAh9aFRhtEWuaFJKUuoqL0WyoqvvXNZvr8dWp3fO5bAXjcTCSVSGYCTVG8tJXkUrdrPdbqEt9BSSI6dioJKfMwmZKQVYHddkKSZIzBsRiDY4lNmAH44m5vq6a6fDs1NXuxN1RS8eWbVH/zIZGT5xMxZQHakLAhiUdRvFRufIemQ9tOiFGFVheMRhuMRmtEq/V973Hbqa3dj6O5lqrN/6Fmy8eET5hN5NRF6CNie7iKcK4oLy/vMn7jdC0GUVFRqFSqU2a31NbWEhcXN+A47r33Xj766CO++uorkpKSBlxfIPX2nv7sZz/jtttu67GujIwM//dRUVFERUUxbtw4JkyYQHJyMtu2bWP+/PmnnBcXF4fT6cRsNndpjRmsf68TjZokZrSNIvd3M6UtorJsKxUlX+M011Pxxb+p3baO6JlLiZiYLTaaDADF68F8dC/1uzdgb/Q1bUqyiriE2SSnL8YQFBngCHsmSTIhpkRCJl1F+tgcqit3UVW2FYfdTN2uL6nbvYHQzKlEzzqfoJjkM1fYS4rXS8X6t2jO3QlIjJt4JdFxU1Cp9af9ayxj/CXUVu6hqnwrVks9jQe+pfHAtwQnjyVy6iJM6ZNEV+sgUxQFR1MNrcVHsFQWBjqcHplMpl4NQtVqtcyaNYv169ezYsUKwNf9s379eu69995+X19RFH784x/z3nvvsWnTJtLT0/td10jR23saHR1NdHR0v67h9fqWFXE4HN0+P2vWLDQaDevXr2flypUA5OfnU1ZW1m3SMxCjJolZt25dl59feeUVYmJi2L1797CMIu8vtVpPasb5JKYsoKpsKxWl3+Bqa6Zq83vUbv+cqOnnETl1IWr9yEvEzjaK10Nz3m7qdnyOs7UJAFmjIzFpHompC884GHck0miNpKQvITl1EQ31uVSWfusbKHxsHy3H9hMxKZu4BZeiNgzs90vxeij/4t+Y8/eAJJM1+VpiE6af8Ty1Wk9i6gISUuZjbiqksmwLjfW5tJcfo738GLqIOOIXXkpI2sSAN0uPZl63C0tFAa0lR2gtPtLtjLnRbvXq1dx6663Mnj2buXPn8uyzz2KxWFi1ahUAt9xyC4mJiTz55JOAbzDwkSNH/N9XVlayb98+goODyczMBHxdSG+88QYffPABISEh/vEaoaGhGAyGALzKkWf79u3s3LmTRYsWER4eTmFhIb/85S8ZM2aMPyGprKxk2bJl/Otf/2Lu3LmEhoZy++23s3r1aiIiIjCZTPz4xz9m/vz5gzqoF0ZREnOy3owidzgcXTLFkwc8DSe1WkdKxlISUxdSW7mb8pKvsNuaqN22jvrdG4iYPJ+o6UuGrBtgtHBb27DVVaAODkUXFoWsHnhLleL1Yj62l9rtn+M01wOg0QaTlLqQhOR5qDWj/81KklVEx04mOnYy7a1VlBdvpq5mP02Ht9FSeIC4BZcSMSm7X+N5FI+Hss9eo6VgP8gyE6fcQHTclL7F17FrfHhkJnabmarybVRVbcfRVEPJh/+LMSGDuIWXYYxP63N85ypnm5m20jzaSo7QXn4Ur8vpf05SqQmPyCQsfAxFRz8OYJSD57rrrqO+vp5HH32Umpoapk+fzrp16/yDfcvKypBPaNWrqqpixowZ/p//+Mc/8sc//pElS5awadMmAP7+978DsHTp0i7Xevnll8/Y1XKuCAoK4j//+Q+PPfYYFouF+Ph4Lr74Yn7xi1/4u6pcLhf5+flYrVb/ec888wyyLLNy5UocDgc5OTn87W9/G/T4RuU6MV6vl8svvxyz2dzjIKzHH3+cX/3qV6ccH4x1YgZK8Xqorz1IWfFmLG3VgO+DKCxrFlFTF2GIGd39sr2lKAr2hipaS47QVnwEa00ZxxeKk9CEhKELi0YXHoMuPNr/vSYk/Ix/uSuKl5aCg9RuX4ejydeXrtEYSU5fQkLKPFSqs7srz9xUREHuB1jafa/dEJtC4vkr+9TF5HW7KVv3L1qLDiHJKiZOu5GomEmDEp/LZaW8eDMVZd+ieNwAmMZMIW7BpejDT1287Fzn9bixVhX7EpfSXH9XaCetzkRkdBYR0VmER2aiUmlxu+18u/7xQV8nZuKb/zXggb1Hrv/9sKxpMpIN1v2Ec/eejsqWmN6OIn/44YdZvXq1/+fW1tZTRm4HiiSriImfTnTcNJobjlJWvImW5mKaj+yg+cgODLEpRE6e75txcpaNm/G63bRXHKOt+LCv6bvd3OV5Q1AULmc7brcdV1szrrZm2suPdimjNgQTlJBOcOIYgpPHoY88PlhMURTaio9Qs+1T7A2+pbFVOgPJKYtJTFmAuo/ToUersIgMZs7/CVVlWyku+gJbbRkFbz5L5JT5xM7/zhm7ML1uF6WfvEJbSS6SSs2kad8jMjpr0OLTaILIGPcdEpLnU1r4JTVVu2ktPEhr0WEiJs0ldm4OmuDQQbveaORsbepIWvJoLz+G13XiGASJkNBkIqLGERkzgeCQBNElJ5xzRl0S05dR5IM1P34oSZJERPR4IqLH02IupbJ0Cw11h7DVllFRW0b1lo+Jmn4eUVMXodKN7m4Pj8NO3e71NB3c4l/lGHxrnkSEZxIRnUVkdBY6fahvsTmXBZulAaulHpu146ulAZu1Ebet3feBV3gQgIwr7yY4eSwA5qN7KP/sdcA35iU5ZRFJqYvOim6jvpJlFUlpi4iOn0pR/ifUVe+j8eAWrLVlZF53f48fenU7v/AnMJOn30pE1NghiVFvCGP85KtJSjuP4qPraKzPpenQNpqP7MSUOZWoqQsJik8/Jz6gnW3NWCoKaK8spL2iAFfH2K1OGm0wEVHjiIgaT3hkJhqtGEsnnNtGTRJzNo4iP1loWCqhYak4He3UVO6iqnwbDpuZ2q2fUr9rA5FTFxI1fTEa4+hqKlS8HpoOb6dm2zo8HQvIaXUmImMmEBk9gbCIMahOmsosSRJabTBabTCh4WldnvN63Zibijmy/zU8bgeyRofmhLFErnbfeClTWCqTZ9wi3ugBnc7EhKnXE580l4P7XsFWV4GlspDgpMzTnmNr8HVzpmfmDFkCcyJjcCyTZ95KS3MJxcfW+VYzPrqXlqN70UfFEzllIWHjZ6HSjuw/TPrCl7QU0l5ZgKWiwD/g3E+SMYUmExHl+0MnOCRerAIuCCcYNUnMuTSKXKsLJiVjKclp51FXc4Cy4k1Y22up372Bhn1fETp2OpGT5hGUMLL/OlUUhbbSXKq/+dA/JsUQFEXGuIuJjJnY7zdjRVEoL9nsT2DSr7gDXdjxqYIqje9DTtuxbolwXFhEBrGx06mu2EHjoa09JjGdXRc6XchwhQdAaHga0+f+kLbWSqrKtlFbuw97QzWVG9+h+psPCZ8wh8ipC0fdWjNetwtbfQXW6o5dzatLcFlauhbqmD4fFjGGsIgMQsNS+7watCCcS0ZNEnMujiKXZBWxCTOIiZ9GY30eZUUbaWspx5y3C3PeLnThMURMmkd41mzUQcGBDrcLW0MV1V+v9Y9lUemDSE9bRnzyPOQBrFrs9bg4tHcN5sYCZI2W9CvuwJiQ0aWM3JHEeDzO7qo458UnZ1NdsYOWY/toTp9I+PhZ3ZbrTGJUqsB8iIaYEhk/eSUZ47/TsdbMNmzWBhoPfEPjgW8wJmUSPn4Wwclj0ZpG1l43iteLo6UBe30l1poSLNWl2OsrUbyergU7k5bwDMIiMjCFp50zY7YEYTCMmiRmFE6iGjSSJBMVM5HI6Am0tZRTXbGD2toDOJrrqP5mLTVbPsY0ZgoRk+YRnJwZ0OZmZ1sztds/p/nIDkBBklUkpiwgJeN8NJqgAddfXbnrhATmzlMSGAC5o7vB7e5+IaZzXYgpkbjEOdRU7qT8szdQ3G4iJmWfUs7r7EhiBmGa+0BoNEEkpS0iMXUBzY2FVJVvpbE+F0uFrwsGQGOK8A3yTsrEmJSJNiR82OJz29qxN1Rja6jC3liNvaEKe2ONf8ZVl9eiNWIKTcEUloopLIUQU1LA768gjGajJokRfONETGEpmMJSGJN1GXXV+6mu2EF7a2XH4mb70JoiCR07DVPaRILiU4dlryav20Vr0SGajuzwtbx0JJzRsVNIH3fxoK6A29Ls2wQxetaybhMYOJ7EeDwiiTmdcZOuRJJlqsu3U7H+LbxuF1HTFnUp07nuSKBaYk4mSTIRUWOJiBqL3WampnInzY3HaG2twNXaRHNrU8dqwqANjSQ4KRNDdBJqowmN0YQ6KAR1kAlZ3be3PY/DhrNjlpyzzeyfMedsM+NsacBtbev2PFnWYAyOJSQ02f//Vm+IGNFdwIIw2ogkZpRSq/UkJGeTkJxNW2slNRU7qandh7O1kfrdG6jfvQGVzkBIahYhaRMJSc0a8KqtJ1IUBVttGU25O2k5urfLbKPQ8AzSx150yoDcwdBqLgPocVG0zjExHtESc1qSJDN2wgpkWU1l6bdUbf4PisdN9Myl/jKejs0dR+KYDL0hjLTMC0nLvBCP20FLcwnmpiLMzUW0tVbgbGmkqaUR2H7KuSqdwZfYBJmQtToUjxuvx43icaO4T/je48bjsJ00rfl08UQSHBKHMSQOY3AcxpB4DEERYhCuIAwxkcScBUJMiYRMTCRj3CU01h+hsT6PpoajuB1WzEf3Yj66FySJoLg0TGkTMMSmoDVFoAkJQ1b1/lfA47Djam+mtSSX5iM7cTQf34xNpw8jNmEmcQkzMRijhuJl4nC04rCbAQlD7OnX+xFjYnpHkiTGjL8MlUpLWdFGqr9Zi9ftInbuhSiKckJLzMju7lCpdf5lCgDcbrs/qbFZG3A62vwPRfHgcdjwOGz+wea9odYEodeHoTOEdf2qD8cYHDMiEz1BOBeIJOYsolJriYmfTkz8dBSvh9aWcl9CU5+Hpb0Ga3Ux1uri4ydIEhpjKFpThC+pMUWgDY0ErxdXuxlXu9nXfN5uxtXegrfjL3P/6WoN0dGTiUucRVhExpD/1dlmLgdAHxmHSnv6FZf93UmiJeaMJEkifWwOsqympOALard9iuJ2ETN3OSi+Td5G2we0Wq0nsmPNoRMpioLbZcPpPJ7UeDxOZFmFLGuQZRWSrEY+4aFSadHpw8S4FUEYoUQSc5aSZBWh4WmEhqeRMe5i7DYzTQ2+FhqbpQG7rRmv1+VPVixVRb2qV63WYwyJJzZhBtGxU1Frhm/7hhZzKQBBcak9lutMcBTFg8tpEdOseyE5fSk2ayO1VXuo2/UlbsfxPVBUsub0J44ikiSh0Qah0QZhDB5d07MFQeieSGLOEXpDGAnJ80hI9u0gqigKLmc7dlszdltTx1ffAyR0+lB0+lD0hjC0ulD0HT8H6q/ypoajVJZ9C4AxcUyPZWWNDlmjw+tysGvLc4ybdNWgLpd/NnC77Zibimg1l9FqLqWtpQKv1+V/vrXoEJJKjeJxcyz3A8ZOXCHGdwiCMOKIJOYcJUkSWl0IWl0IprCUQIfTo5bmEg7tfxXF6yE0cxph46b3WF6SZdJX3En5F2/iNNdzaM8rxCbMYMz476LRDnya92jn9brZ9e0zOOxdF1pT6QwExacRFJdG2LjpWKpLqPjyTaorduD1uhk/+WqRyAiCMKKIJEYY0dpaKjiw7xUUt4uQ1CySc27q1bRxY3w64274GTXb1tGwdzO1VXtpbihg7MQVRMUOzi7Mo5W5sRCHvQVZoyN07HSM8akExaejC4/ukqTowqKRZBXln79BbdUeFK+HrCnXDsu0fUEQhN4QSYwwYlnaa9m/72W8TjvGxDGkXnpbn2ZTyRotCeddTmjmVCq+fBNHcx2H971KTNw0Midcfs6OlWmszwUgbPxMki64psey4eNnIqtUlK57lbqa/XgVDxOmXo8si7cOQRACT7QNCyOSzdrIgV3/g8duwRCbTNpltyP3c4aIMT6NsTf8jOhZF4AkUVezn/07X0TpmH1zLlEUhYa6IwCYMnrXIhWaOY20S1YhySoaag9xZN/reL2nrkYrCIIw3EQSI4w4DnsLB3b9D05HG/rIONIvvxOVbmCzoGS1hviFl5F57U9R6QxY2mtorM8bpIhHj/bWSpyOVmSNluCk3u9MbcqYRNp3b0dSqWmsz+XQnn/h8bjOfKIgCMIQEkmMMKI4ne0c2PU/2G3NaEOjSF/xw0FdaTgoNoWIyfMBqCj5etDqHS06W2GCU8Yjq/s2dTokNYv0y+9AUmtpbjzKoT0v4xWJjCAIASSSGGHEUBSF/EPvYLXUowkOI+PKH6Ixmgb9OpFTF4Es09JcTFtr5aDXP5J1jocJzZjcr/ODk8eSseJOZI0Oc1MRlWVbBjM8QRCEPhFJjDBi1Nfsp6k+D0lWkX7FHWhNEUNyHW1IGGGZ0wCoLP1mSK4xEtltzVjaqkGSCEmb0O96jAkZJCy5EoDykq9Ft5IgCAEjkhhhRHA5rRTkfQhAzNwL0UfGD+n1omYsBaC2ai8H97yCuakIpWP37bNVZdlWwDf9XG0IHlBd4eNnoQkJx+Vsp7L028EITxAEoc9EEiOMCEVHP8XltKCLiPXNIhpiQbHJRE0/D5Boqs9j/85/snfb89TXHEDxeob8+sOtoe4IFSVfAXS87oGRVCpi510MQEnxemzWpgHXKQiC0FciiRECrqW5hJrKnQAknX9Nn9aCGYiExVcy/uYHiZg8H0mlpq21giP732DHN3+irGgT7a1VZ8U0bJulgdzD/wdA5LRFhHZ0pQ1UeNZsjIljUNwujuW+f9a3ZAmCMPKIFauEgPJ6PRw78h4A4RPnYkzMGNbr68JjSLrgGuLmXUzDgW9pPPAtdlsTxcfWUXxsHRqNkbCIDMIiMwmPGIM+KBJJkoY1xoHweJwc3vcaXqedoPg04hddPmh1S5JE4gXXcOz1P9DccJT6mgPExA9OgiQIgtAbIokRAqqi5Gss7bWo9EbiF343YHGog0KIm3cxMbMuoDlvF63Fh7FUFuFyWaivPUh97UEAdPowwiMzCQ1PI8gYgyEoasTux6QoCseOvIelvQa1IZjU79wy6K1c+vAYYuYsp3b7ZxTkfUh41Fg0mpF5PwRBOPuIJEYIGJu1iZLi9QDEn3f5oK4H01+yRkvklAVETlmA4vFgrS2jvfwo7eXHsNaU4rCbqancRU3lLv85ak0QhqAogoxRGIKiMBijMAbHEmSMCWirTXX5dmqr9oIkk/KdW9AEhw3JdaJnLcN8dC+O5jqKj37GuElXDsl1BEEQTiaSGCEgFEWhIPcDFLcLY+IYwrNmBzqkU0gqFcaEdIwJ6cRm5+B1ObBUFtFWcQxbXQVOcwOudjNul5W2ljLaWsq6nG8MjiU2cRax8TPQ6kKGNfZWcxkF+b7ZXvELLyU4KXPIriWr1SSefzVF//kb1RXbiU2YQWh42pBdTxAEoZNIYoSAaKg9RFNDPpKsIvH8q0fFOBNZoyMkbUKXNVa8LieOlgYczfU4zfU4Oh62ugos7bUU5X9C0dF1RESNIy5hFpExE4Z880S328GR/a+jeD2Ejpnqn04+lIKTMgmfOJfmIzs4evg/zFrwE7FJpCAIQ068ywjDzu22+9eEiZ51AfqI2ABH1H+yRoshKgFDVEKX4x6HDfOxfTQf2Ym1poSm+jya6vNQa4KIiZ9GXMIsQkKThiSm+poDOOwtaEwRJC2/ftgSxPhF36W1+AhWSx3lJV+TmnH+sFxXEIRzl0hihGFXUvAFTkcr2tBIYuYsC3Q4Q0KlMxA5eT6Rk+djb66jOXcn5txduCwtVJVtpapsKxFR4xk/+epB72qqrdoNQOTk+QPeOLMv1HojCeddTvnnb1BatJ6YuKkYgiKH7fqCIJx7xDoxwrBSFC81lb4P2YTFVyKrtQGOaOjpw2OIX3ApWat+SfoVdxE2bgaSrKKpIZ892/5KW0vFoF3LZm2kpbkEkAgbP2vQ6u2tsPGzCE4ei+JxU1781bBfXxCEc4tIYoRh1d5ahcdtR9bqCUkdH+hwhpUky4Skjifl4psZe+PP0YXH4LC3sHfnC/7EbqBqq/YAEJwyDm1I2KDU2ReSJBEz50IAamr24nJZhz0GQRDOHSKJEYaVubkY8G0iKMmqAEcTOPqIWDKv/SkhaRNRPG7yD71NQd6HA9ryQFG8/iQmfMKcwQq1z4yJY9BHxaO4nVSX7whYHIIgnP1EEiMMG0VRaOhYNC44aUyAowk8lc5A2ne/T8xcX8tFZem3HNj9Ei6npV/1tTQXY7c1I2v1hI6ZPJih9okkSUTPWAr4FjP0uB0Bi0UQhLObSGKEYVNXvY9WcxmSWkvo2BmBDmdEkCSZuHnfIfWS25A1OsxNheze+hfaW6v6XFdnl1TY2OkBH2sUNn4m2tAoXC4LleXbAhqLIAhnL5HECMPC7bJTmP8xALFzLwzIeI2RLDRzKpnX/hRtaBQOu5k9O//uW223lzxuB/X1hwAInxi4rqROkqzytzBVlHyFx+0McESCIJyNRBIjDIuSgi9wOdvRhccQNWNJoMMZkfSRcWRedx8hqVkobhd5B98i/9DbvUoA6msP4nU50YZFExSXNvTB9kL4+JloQyNxOS1UidYYQRCGgEhihCHX3lpFZfkWABKWXDnomxCeTdT6INK++wNis3NAkqip3M2ebX/F0l7b43mdXUkRE+aMmNWPJVnln6lUXrJZtMYIgjDoRBIjDClFUTiW+wEoCqGZ0whJObemVfeHJMvEZueQceXdqI0mrJY6dm//K9UVO7stb7M20dJcDEiEZQ3/2jA9Cc+adbw1pkK0xgiCMLhEEiMMKXNTEa3mUiSVmvjzLg90OCOC4vWgKMoZywUnZTLuhp8RnDwOxe3i6OF3ux3wW1e9z1c+eSzakPDBDndATmyNqSj+GkXxBjgiQRDOJiKJEYaUISgckFA8bhS3K9Dh9Ivi9eBx2HC1m7E312Gtq8BaV4GzzYzX4+51PV63G8XrRZJVSJLUq2RGpQuCju4hrTYEnSHslDLNjQUAhI6Z0vsXNYzCx89C1upxOtsGdXViQRAEMThBGFJ6QwQR0eNpqs+j8eC3JCy+MtAhnZbL2kZr4UFaCg7gMNfjdTnxuhwoZ0hUVPog1IYQ1EHBqI0mNEHBqINMaIyhaIKPP1pL8qjc8H+ET5hN3ILvIqt9//0Urwck2T+WRfF6sdaUoI9Oovrr92kvy0dSa5k881Y0mqAu1/Z4XLS2lAJgTB47BHdl4CSVipDULFqO7aOxPhdTWEqgQxIE4SwhWmKEIZeYsgCApiM78ThH1sJnLksrDfu/ofDd58n938ep3PgO7eVHcbU147FbuiYwkoxKrUerM/k2bZR8/308diuO5loslYW0HN1Lw76vqdnyMeVfvEHRe38n/9XfcejvD1O54f+QdXqajuzk0N8fpPDdv2GpLvFVLUn+rhZHcx11u9aT+9KvaDrkG0cyccr13e563WouRfF6UBtN6MKih/ZmDYApfRIAjXW5AY5EGM2ef/550tLS0Ov1ZGdns2NHzytCv/3222RlZaHX65kyZQqffPJJl+fb29u59957SUpKwmAwMHHiRF544YWhfAmjmsPhYPr06UiSxL59+3osu3TpUiRJ6vL44Q9/OOgxiZYYYciFR2ZiCIrCZm3AnL+byCkLAhqPq91MS8EBzAX7sVaVAMe7dEJMSUTFTSE0PA21Wo9KpfU91DokSdVl5o+ieHG7bDid7TgdbTgd7bicbVgt9TTW5eL1uv0PUPA4bHgcNv/5lsoCCt/+M8gyQbGpGBPSCYpLRRsWhWnMVNpKfB/4aZkXERUzsdvXYm4qBHzjZ0bKrKTuhKRmgSRhaa/BbmtGbxhZY3eEke+tt95i9erVvPDCC2RnZ/Pss8+Sk5NDfn4+MTExp5TfsmULN9xwA08++SSXXXYZb7zxBitWrGDPnj1Mnuxb0Xr16tVs2LCB1157jbS0ND7//HN+9KMfkZCQwOWXizF8J/uv//ovEhIS2L9/f6/K33HHHfz617/2/xwUFNRD6f4RSYww5CRJJiFlHoV5H9F44BsiJs8f9g9cxeulrSyPxoNbaSs5AieMRTGFpRAVO4Xo2Ml9+nCVJBmN1ohGayTIGHO8O0jx0tZSTntbtb/s7EWrQVGw28w4Ha3YbU20tpTTai7F63FhrS7GWl18Yu0AhIankzrmgtPGYG4qAiA4aWR2JXVSG4wExadhrSqmsT6PxJT5gQ5JGGWefvpp7rjjDlatWgXACy+8wMcff8xLL73EQw89dEr55557josvvpgHHngAgCeeeIIvvviCv/71r/7Wli1btnDrrbeydOlSAO68807+8Y9/sGPHDpHEnOTTTz/l888/59133+XTTz/t1TlBQUHExcUNaVwiiRGGRVzCLIoLP8feWIOlspDgpMxhua7L0krTke00HdqGq63Zf9wUlkp03BSiYiaj72awbG95vW6qK3ZSU7GT6XPv6mixkRk/+ZoT1nZR0OvDUak0GINjfUf8SZSC1VKPubEQS3sNLc2lWK11oChIspqJ02867bU9bgetreUAw3Y/B8KUPglrVTFNIokR+sjpdLJ7924efvhh/zFZllm+fDlbt27t9pytW7eyevXqLsdycnJ4//33/T8vWLCAtWvX8v3vf5+EhAQ2bdrE0aNHeeaZZ4bkdYxWtbW13HHHHbz//vt9ak15/fXXee2114iLi+O73/0uv/zlLwe9NUYkMcKwUGsMxMbNoLp8O40Hvh3SD11F8dJeXkDTwS20FB8Cr2+siVptIC5xFvHJ2QQZBzZ+xOv1UFu5m9KiDTjsZgCqK3aSlLYIgGBTAsGmhNOef7zVBozBsf7kBsDtdrB985OkpJ+PVht82jpamkvA60UdEoY2NHJAr2c4mNImUvPtRzQ3F+JxO1EFeH8nIfBaW1u7/KzT6dDpdKeUa2howOPxEBsb2+V4bGwseXl53dZdU1PTbfmamhr/z3/5y1+48847SUpKQq1WI8syL774IosXL+7vSwq43t7T3lIUhdtuu40f/vCHzJ49m5KSkl6dd+ONN5KamkpCQgIHDhzgwQcfJD8/n//85z/9jqU7IokRhk1i8nyqy7fTUniQut0bMManYYhOQtb078NMURTcllYc5noczXUdX+uxN1Thajf7y5nCUklIziYqdgoqlWbAr6Oh9hCF+Z9gtzUBoNWZSMk4n/ikvu9ZdDyZUfzf11btQZY1xCXN7vHc5kbfeBh3m5nST/9F/MLL0Joi+hzDcNFFxKI1ReBsbaK56RhRMZMCHZLQT5ZSE7Je3+/zvXY7AMnJyV2OP/bYYzz++OMDCa1P/vKXv7Bt2zbWrl1LamoqX331Fffccw8JCQksX7582OIY6P2Evt/Thx56iKeeeqrHOnNzc/n8889pa2vr0grWG3feeaf/+ylTphAfH8+yZcsoLCxkzJgxfaqrJyKJEYaNMSSOsIgxmJsKqfn2I99BSUYXHo2s1vimGcsykiRDx1dJlo8fl1Ugy6AoOFsacDTX43V1P9tJ1uqJi51BfHI2wSGD1ydbUfoNhXm+2DXaYFIylhKflI0sq/xlFMWL1+tGpeqanLnddlxOK4agiBPK+pIXj9uO221HbwinrGgjiakL0WiN3cagKF5qKnZRV+PbIDI0cyqakDDyX/0doWOnk7jkSlQ6w6C95sEiSRIh6RNp3P8NjXW5IokRKC8vx2Qy+X8+XYtBVFQUKpWK2tqu22/U1taedsxFXFxcj+VtNhuPPPII7733HpdeeikAU6dOZd++ffzxj38c1iRmMPX2nv7sZz/jtttu67GujIwMNmzYwNatW0+pZ/bs2dx0002sWbOmV3FlZ2cDUFBQIJIYYfTKmnodtZW7aW0pp81cjtPZhqOp532BeiahN0QQZIzCYIwiyBiNISgKU2jKoHdXKIqXxrojACSmLCR9bA6ySo3N2kRbSwVtrRW0t1bQ2lKJ4nURET2BpNRFhEVkIEkSNksDx468j91uJsgYTVziLGITZgISDXWHyT/0LkHGaDweBykZS08bR0PtYY4eOd4km7DkKjRGEzGzl9N8ZAeudvOITGLAN0upcf83tJhLAx2KMAKYTKYuH7ino9VqmTVrFuvXr2fFihUAeL1e1q9fz7333tvtOfPnz2f9+vXcd999/mNffPEF8+f7xmO5XC5cLhey3HWlEZVKhdc7eleW7u09jY6OJjr6zN3qf/7zn/l//+//+X+uqqoiJyeHt956y5+Y9EbnlOz4+Phen9MbIokRhpWuo+sFfK0QDnsLVks9iuJFUTygKCiKbyVb37FTHygKekMYBmMMhqAIZHl4fo0lSWbKrO9TXvw1Ho+dQ3vX0NZaicdt77Z8U30uTfW5BBljSEpdRFTcZGbM+xFul4362oM01uWi04cRHplJXOJsIqLGU17yFZVlW9m3459MnHaDbz2aDoriRZJkGut9iZQ+Mh5Xu5nyz98gZvYygpPHEj1z6XDcin4zRPnGCdmsjXi97mH7txNGv9WrV3Prrbcye/Zs5s6dy7PPPovFYvHPVrrllltITEzkySefBOCnP/0pS5Ys4U9/+hOXXnopb775Jrt27eKf//wn4PuwX7JkCQ888AAGg4HU1FQ2b97Mv/71L55++umAvc6RJiWl6+KUwcG+cXpjxowhKcm3dlVlZSXLli3jX//6F3PnzqWwsJA33niDSy65hMjISA4cOMD999/P4sWLmTp16qDGJ95BhICRJAm9IWxAs4OGg9tlR63x9Vc3NRyltHh910XwZBVqnQGvx43X5UClC8IQkwSKQntVMVZLHUeP/Ieio58SmzCTpLTzSEieR1N9PpWl3xIemYmieNHqQhgz/lJS0pdSdPRT2lqrCIvIQJZVvq41SUZRvDTVHwV8O4IHJ2VSv2cTNds+JSU0ckSPiQFQG0NR6Qx4HDaslnqCQwb3rzLh7HXddddRX1/Po48+Sk1NDdOnT2fdunX+wbtlZWVdWlUWLFjAG2+8wS9+8QseeeQRxo4dy/vvv+9fIwbgzTff5OGHH+amm26iqamJ1NRUfvOb3wzJomxnM5fLRX5+PlarFfC1nH355Zf+RDM5OZmVK1fyi1/8YtCvLZIYQeiBy2lh7/a/ERk9AWNIPPmH3wXFS3DSWELHzSAoNhl9RBySyjcmxuOwYakqorX4CO0VBeBxEzV9Ma1Fh3C2NlFZ9i2VZd+i0RiRJJnkjCWAr5Wnk0ZrZPzkq2lqOMqxI/+hvuYQKpVv2wEAl8uCrNUTFOv7Cyly2iJaiw5hPraPmFmnX1NmJJAkCV1EHNbqYixttSKJEfrk3nvvPW330aZNm045ds0113DNNdectr64uDhefvnlwQrvnJCWlnbKnm8nH0tOTmbz5s3DEo9IYgThNLweF4f2/gubtZGaqt24Xb7VdsOyZpO87Dp/4gLH131R6QyY0if5l9n3OOzIGi1xC79LW2kujfu/pr38GC6XBZ0+jPikeV2u2TnQt9VcRkHuB0TGTGLWgp9SmPchVeXbkDq6X0JSxiNrtCheD7JKjcdp9+3BRNeZTiORPtKXxFgtAxkLJQiCIPZOEoRuKYqXvENv02ouRZJU/gQmavp5JF94fZcEBvDvDXL8fAVFUVDp9EiyjKxSEZoxmfQVd5F53f2gUuGwm6mr2nNKPQBV5dsxhaWQnnkhQcYoJky9noa6wzQ3+LqS7E01OJrrcNutNOz/GkdzHaFjpnapY6TSR/pmh1jaas5QUhAEoWciiREGVXnJ1xzc8woejyvQoQxI8bHPqa85AEi+AcdA7LyLiT9vRZeun9M5MZFwtDTitlt8PygQFJtMaIYv4Th29CPsNrPvqY7WHKulHpu1kbCIMcgd69rIKg0qlda/sF5wYiaF//kbpR+9THPuTuIXfRd9RNeFvUYqfURHEtMuWmIEQRgY0Z0kDBqPx0VR/seAb2PCyOisAEfUP9XlOygv3tTxkwJIJCy9iqipC/tUT2ciY6urwFpTQuiYqRgT0nGYG3A01aAyBOOxtXP0yH+YPP0W35o4SLS3VqJSaTCcsKpwW0slKpUOaMMQm0Li+StJWHoltroK9JFxyKNo9dvOlhi7rVms3CsIwoCIlhhh0HTuqAz0qrViJLLbmjl65P3jB2SZ5Jyb+pTANB7aSsHbf8FhbgDAEJOE4nZR9um/OPI/j1H++etogkNJXn49kkpNc8NR6mr2+e+Zy2VDVmm6bDnQ1lqOx+1b2M+UNqFj3ItMUGwKslp7ykC7kUwdFILKEIxv36i6QIcjCMIoNjo/aYQRqdVc5v/e63X3UHLk0hvCiY71DcqV1BrSLvs+4eNnnra8ta6c5vzd/p/tTbVUbngbh6WR6m/WAqALjSTx/KuZcPtjjLvxARKWXEXqpaswpU8kNjsHgGNHPvAPzA02JdDWUoFafXwZ8sa6I7g6xuUEp4w/ZdzLSB8Hc7LOri/RpSQIwkCI7iRh0ISGp/m/H4w9igLB5bTQ3lYNQOLSlZjSJp62rLO1iZK1/4Pb2oYkyYSNm4E2JIyg+DSs1SWELZhB3e4N1O38smuSIUmo9EYSl1xF9Myl1O1aj9dpp8VcSlhEBnpDOHpDGE0Nx4iJn0p1xQ5aW8rR6kNw2JrxOKxDfRuGnDYkHAvgdLQFOhRBEEYxkcQIgyYiahxJaYtpNZdgCk0NdDh94nY7qCj5mvKyr/G6HEhqLab00ycwbruV4g9exG1tQx8VT0jqBADMBQdIuuAa9JG+9U9qd3yO13nqir4eu5XST15m7A0/w5QxGXPeLhrqcgmLyPCtapx+Psdy36cg931Cw9MZO2EF5qYCam3NWGvKekyuRgNfdxK4nO0BjkQQhNFMJDHCoBoz/pJAh9AnXq+bqvLtlBVuwOXyzSDSRyWQuPQq1Ibg7s9xuyn9+GUczbVojKGkffcOZLWGpiM7qPjyTSSVmqD4NHRh0SheD2HjZoIkEZo5FV14DC5LK5Ub3saYPA6tKRJT2kTMebtobsgDfBvRRcZMIDJmAi6nxb+ar8fjpLZqL9Ya375DtoYqGg9uwRCdSOTk+cNyvwaLOsh3b50iiREEYQBEEiP0mqIoHNn3Gg5HG5NmfA+d7sybjI1UiuKlrnofJQVfYLc1+49LKjUZK+9B3cMGiiUf/g+WykKQZGStjoK3nsFtPd4tonjcWCoKsFQUdDkvNHMq+ohYqjb9B2dLAx6nDe953yUkdTzIsm9qtaUBgzHKf86JO1mbQpMBsNWWoSgK1uoSmg5uQR8ZT8SkeaNqXIwmyPe743SIJEYQhP4TA3uFXrNbG2moO0xbSxn7d76Iw9Ea6JD6pbE+n91bniPv4P9htzWjNpoIik8HIGzcjNMmMF63i5KPXqK93LfgHIrXt+CctftxHZJaQ9SsC4iaeT7hE+eieL00HtxKe8UxADw2C8XvvQAqlX/Po8aGvNPGbQyJQ5LVeBw2nC0NhI2bgaRSY2+sxlZX0d/bERBqY2cSMzp/hwRBGBlEEiP0WvMJU6htlnoO7Hxx1A3MrCrfzqE9L2Npr0WlMxC38DLG3fBz7A1VAIRPmNPteQ5zPQVv/5nWokMABBljGDdpJROm3YjeEAmA3hBFYvJ8JEmNRmNEcbuQgJDU8TQf2UHZp2uo3Ph2l3qtNaUcffUpnB3TsRvrck8buyyrCTEl+M9T6QyEZvoWzWs+sr3/NyUANEbf7tyiO0kQhIEQSYzQa53rwIRPnIsmOAyrpZ79oyiRqa3aw7GONWAiJs9j/K3/TcysC2grz8frcqA1RWBMzDjlPPPRvRz799PY6ytR6Y1kjLuE6XPvIi5hJjWVu7DbGjt2mYbamv0oihu11oDaaEIflYAsq9EEh6HSBXUbl6vteHeWubkIt/vUgcCdQky+LiVrjW86e/iEuf4YvW5nv+5LIKg7upPcLuuonY4vCELgiSRG6BVFUfxJTMTEuWRc9aOORKauI5EZ2X9R19ccIO/Q24BC5NRFJJ5/DWq9L6loPrIT8LXCnLhIn9ftonLjO5StexWvy0FoeBpzsn9CcvpiNFojHq8bp93XHTJ20kp0hgjcLt/0Z5ulAa/NTu3WTylf/xaSWuNPMtSREacPVFEoLdzQ5VBby/GuIlNYRxJT6xvcG5yciSYkHI/DRkvhoQHcoeGl0gchyb79p0b6744gCCOXSGKEXrG01+JyWpDUWgyxKejCosi46m40xlCsljoO7Pof/2JtI01LcwlHDr4JikL4xLkkLFnhHwTrbDPTXu4boxKeNdt/jtftpvDd52k8uAWQiIyeyPjJ16DTh/rLqNU6jMG+JfSL8j7C3Hi0y3W9XifO1kac5nqc5noUjxskCXdjk7+MLjPzlHgrSr7GaqlHUbwc2rOGPdv+SktzCQAhHYN77fVVeN0uJEn2d4E1H9kxwDs1fCRJQh3U0aU0SlryBEEYeUQSI/RKS3MxAMb4NGSVb1KbLiyajJU/wpg4Bm1KCs6OKcojTU3lLvB6MWVMJumCa7u0tnhs7YSOmULktEVoQyP9x9tK87DVlqHSGZgyaxUOu5ld3z7jX5VYUbyAb7NGAO9JCVxoeAYqlY64hZdhTDihi+qk7QEUlxM5xDfdWB+T1HmU5sYCXxeV7LvX5o77r+2YEaZ4PXhdvm0IwsbNIDhlPCqDkdFEpfcNoO6p+0wQBKEnoy6Jef7550lLS0Ov15Odnc2OHaPnr8/RrLMlwJiQ3uW4LiyaMSvvIXn59SN2ynVnd0z4hLkdmyweZ4hJIvXS20hcclXXc0oOAxAXO4OIqHEoihev1427Y/+iVnMZ9TUHoaO+zk0MwyIzMYWlEJ2zAl10PHU7v8BSVXS8YgkiLp6JOrKjFaKsHP2YMQAExab4i3UmSWq1rvM0AGxW3wBglc6ASu9LWvQRsWSsuIvUi2/u5x0KrFE0M1wQhBGmz0nMrbfeyldffTUUsZzRW2+9xerVq3nsscfYs2cP06ZNIycnh7o6sYncUGs1lwB0bVUYBTxuJxaLb3+eoNjkXp2jKF5ai48AEBE9octzLc0lVJZt5eiR9ziy/3UUjws4vvJsTNxUUm68F3P+Hqw1JXidDv+56ohgQuaOw/zlPtyNbZ0Xw5brm1Ztq6vwjxMJCorueLqz5cb3Sd/Z8qMLjx1V68J066TXJgiC0Fd9TmJaWlpYvnw5Y8eO5be//S2VlZVDEVe3nn76ae644w5WrVrFxIkTeeGFFwgKCuKll14athjORXabGYe9BSSZoLiUM58wgrS3VYGioDaa0ASHnvkEwFZXidvahkqlJSzC1/Kk4PvAra7YRnPDUd/9ANweX5ISET0BJInK1kPkvfIEDXs3dalTlxgJFhtt24/idXu7PKc4fHXY6ivQdHRpdV6Pjq+dXWDWdl/CrouI6e0tGLFG0cbbgiCMUH1OYt5//30qKyu5++67eeutt0hLS+M73/kO77zzDi6XayhiBMDpdLJ7926WL1/uPybLMsuXL2fr1q3dnuNwOGhtbe3yEPqusxXGEJ2ArNEFNpg+amspB7p21ZyotSSXA39ezbF/P338WLGvKyk8ahxyx5iUzplF4yZdxeSZt2IM9u2N5OhY7dc4YyZJy67HUnGsy+J3klqFWq/CUdmI2+EhfmokV7+wBJXmpP96sgxeL4rHN7ams9vI3xLT0epi87fEHE9iHOZ6Dv39YXL/91d9uTUjQGeCJlpiBEHon36NiYmOjmb16tXs37+f7du3k5mZyc0330xCQgL3338/x44dG+w4aWhowOPxEBsb2+V4bGwsNTU13Z7z5JNPEhoa6n8kJ/euO0HoqqXZN5335PEwo0HneBhDL7uSPE4HLQUHAIiMzjr+RMfnrNvlG4Qqy74DnWu/WOsrqNr2YdfmBZWM4vbgtnuIGhvKiucWseLPi/B6vGiMHTt+dNTTObams3uqvbWzhbPjg/6U7qQTWmIUBa/Lgcd1vOtqoJxtzViqS07ozhoCojtJEIQBGtDeSdXV1XzxxRd88cUXqFQqLrnkEg4ePMjEiRP5/e9/z/333z9YcfbLww8/zOrVq/0/t7a2ikSmH1o6WmI6l+bvLbfb4R+YGihtrb4kJiim524wRVFozt9N9Tcf4ra0IqnURERlnfC872tnN5LX6zsQPmU+rQUHaNy7+dRKPV6CY/SkzovD61HY/PR+mktPmk7cUQ9eXxeT2+ab4dWZfJnCUkFRMBijURQvVqsvidGfmMR0tmQMUsJhqSqmeO2LeJ12DDHJxMy5EFPGxC6zugRBEEaCPicxLpeLtWvX8vLLL/P5558zdepU7rvvPm688UZMJt/slPfee4/vf//7g5rEREVFoVKpqK2t7XK8traWuLi4bs/R6XTodKOr+2OkcbvtWNp9LV3GMyQxreZy6mr209JUhMtlIcSURGzCDMIjx/ln7wwnl8uKzdoIgCE2qdsynW0ATnM95Z+9DoDeEMHYiSvQ6o7vYp2YOp+G2sOUFW9CM3cqniAJzOC1W3Ca60+tVwZJlmivs3N4bUmX52LiVNTVnLSmTkcSQ8dU7c7l+BNT5pOY4tuh2m4z4/W4kGQVWlMkQ6Gt7CglH72E0tF9Zqsrp/Tjl9BHxhMzZzmhmdNOmeHVXyd3lQmCIPRVn5OY+Ph4vF4vN9xwAzt27GD69OmnlDn//PMJCwsbhPCO02q1zJo1i/Xr17NixQoAvF4v69ev59577x3UawnHtZrLQFHQmiJOOzDWVl9J1eb3sNaVYwpJJCp2EsEhCTQ3FVJatBG73UxS6qJhjhzaWnxdMlpTJGr9qWuoeJx2GvZ/DfjGvEhqLanp55Ocusi/Pgv4PmyDc5YTzHLKv3yTonefRxMSDkDToW3dXlvxguJVCDFJTJmhZfJ0LVM7vgaHyOTMq6ax3tvtuXB8OX75hDisFt+gXm1oFJJKdULpziSg/y0xiuKl5dh+yj9/A8XrITxyHOMmXUV1xXYqyrdgb6ymbN2r6MI/IzY7h7BxM/p9rZNJojtJEIR+6nMS88wzz3DNNdeg1+tPWyYsLIzi4uIBBdad1atXc+uttzJ79mzmzp3Ls88+i8ViYdWqVYN+LcHH3ORb4+R0XUlel5OGfV+hMhgZ/70Hia0+3noRGTOBxvo8ivI/CUgS02r2jeU53XiYmq2f0Fbqm94sq7TMWbAavSEMRVG6DDZtHq+BjmPJy6+nQqXGnL+nx2unZqh58FdhxMTKeDzgcoHLqXAs14XTqZA1UcO3m3sew2KzNNLWWkFM3FSaGwsoyPsQOHVmktc/FqbvyYDL0kpz7k6aDm/D2eJrtYqKmcSEaTcgy2rSx+aQlHYelaVbqKj4FkdzXUcyE4MhOrHP1+saeEcSJ1piBEHopz4nMTffHLgFta677jrq6+t59NFHqampYfr06axbt+6Uwb7C4FAUhYY630ydkNSsbsvYm2ux1ZWTvuKHaIwmlCoHKF7/eicuZzsabWBWkm2o9e0ldLrY20rzfd9IMl6PE5fLQnXFdmyWBtQaAyGhScQnzfWPBbE11tC4bzMJS1dijE+j6uu1eGzd7/tTWuTmRzc39DNyCVCord5LefEmCnI/wOPxde9ojKHEzr2oS+nOgci9HXiteDy0lefTdHi7byZWRzIha3QkJGaTMTbH/+8HoNEEkZa5nMTUBWzZ8ASgIGtP/0dMb3kcvn2mNGrDgOsSBOHcNKCBvYFw7733iu6jYWK11GGz1CPJKkzpE7stow+PwdFcj8boGw8lSRJIKhTFS1N9PhUl35CSsXQYo/axttdhaa/xxZ4x+ZTnXZbWjrEsEnEJM5FlDWVFG7FZGkhMWYDFUkfxsc9oa61kHFfSlKmi+P1/4La0oAuPIXrm+RgTMyl8+8+42s19jk+STjMOV1ZhjEvFUlVERYmvq8vjcYIsEz1jCTFzLkKl7TrOyxCTiDFxjH8Ppe4oXi+WykLMx/bSUnAAj93qf84UlkJ80lyiY6f2OHbJt8eRgqzRojWF9+n1nszrduNx2ADQaIPPUFoQBKF7oy6JEYZPfc1BAN++PLru/1qWNTpMGZMpfOevhKRm0agPwpVXgLmpEI/bQULKAiJjuk+AhlJ9bUfsyWP9u1WfyFLp6yYLDolj/OSrsdvMHNn3GpNn3oreEI6iKETHTeHQ7ldAURjHVYxJv5D8Q+9Qs+0zwsbPQhsSRsy8i6n88s1uY1DrVbjt3W+K2V0Co9IFkbT8WtorCrFUFaEovnONSZkkLl2JPqL7FsfQMVMJHTO1m2soWGtKMR/dS8uxfV3Wr9Fog4mJm0Z80hyMId0PjD+Zpc03wFsfGT/gmUrujhYsSZJRa0RLjCAI/SOSGOG0OrtjQjNP/YA8UcKSK2ktPkJr4QGcrU2YtLGkj72Y6NgpAZmVBMcTsNCx07t93lJV6Hs+3NcF0zkVvL21Cr0hHEmSCA1LZers29m/858YgqJISltEefFXWC11VG1+j9RLbiV83Awa9m7G0Vh9yjVOl8B0J27+JURNX4ys0eIwN/qPR01fQvx5l/dpQTjF66Fu55c0HdmBq63Zf1ytNhAVO5mY+GmEhad36TLqjc5Zavqo+D6d153OJEajDRaL3QmC0G8iiRG6ZbM0+D60JBlT+qQey2qMJiInzyNiwhwklYrwfKf/Od9GhtKwflBZLfW+2GUZU0b3sXe2xHQmMUgqFKC0aCNRsb5zFMVLSGgSY7Iuo676APHJc0nLvJAj+1+npWA/LYWHCB0zmTFX3U3+a3/AY2vr9lpnEjl1EdGzlyFJEh6ng+b83YBvMHVPCYzX5aDx0DbCxs9EE+TbUFLxeCj77DVaCvYDvpayqKiJxMRPIzwys8tsp75qb/MlavrIhH7X0amzVUgboPFSgiCcHcTqVUK36jtaYYKTMlEbzvxB03R4m3+WSecOzEBAFkirr/ENdA1JHtft1Gq33YK9o+WkM4lxOdtob62gvbWCY0feB47HbgiKwuO2Q0cXU0LHui3ln76KtbYMW205aoMRSdVNgnDG5E3ClDHJn6jUfPshjoYq1IZgUnJu6jH5ayk8SPXXH1D4zl9RFAWv203pp2toKdiPJKsYN2klC5b8gglTryMyOmtACQwc704yRA1CEuNviQkZcF2CIJy7REuM0K3ediV1staWoYuIwxifRvM4LeFHXf4P4OHuLvB3JWVO6/Z5S5Vv+n+QMdq/oJ0hKJLQ8HRamouprtgBkkRSykIMxigcdjMKij85yxx/GTZrI80NR2n7+hta3TU4mmrodorzGVbR1UXEdNnXKTY7B3tzHXHzL0Friujx3ObcXQCEj5+J4nFT+skrtJXkIqnUTJ52MxHR43s8vy/cLhsOuxkYpO6kjpaYQM1cEwTh7CCSGOEUdpu5Y7l+qduZPd2Jmb0cVUerhyTLSJKE4vVgt5uxWurR6UwEmwb+F/yZmJuLj3cljek+dkvVSV1JHeISZ9HSXIxWG0JzQwGt5jJkWYPVUsek6d/zf+BKsoqJ026iunwbSWnn4XJaKJQ/oq5mf5f6ZK0eWa1BklW4be0oHnfXQGQ1YeNn4WxtQh8ZhySrUAeFkHHl3WdM/JxtZtrLfXuUmTKnUfLh/9JefhRJrWHK9FsIjxzb63vWG5Z230rZmpDw0w7y7ovOsTo6fe92FhcEQeiOSGKEU9TXHl93pHPq9Jl0thooXi9tZXlU7vmWluZi3B4nQUFRyLKKiOgsUtLPH7LBvi3mUg7seRmA0Iwp3XYlQTfjYTpEx07hWO5aHI4WJk77HhptEB63gyBjNAZjVJeyarWO5PQlAGh1IYybtJKImImUHFuHvWNna6/TjtdpP33AXje1Wz+hdusnSLKK+MUriJq6sFctV825OwEFQ2wKlRvfxlpVjKzRMmX6bYRFZJzx/L5QFK+/i04fOfBWGABna5OvPsPApmoLgnBuE0mM0IXLZaW82LeZYdj4mX0+v37vJpqP7CBUn0jW1BsIMSWCBG3mckoL16M3RBCfdPr1TPrL5bRwZN/rKG4nwSnjSVp+/WnLKm7fTtEnj9dRqXXExs+gumI7JQWfM3PePah6sYGloijkH36XVnMJ4ydfR3NjPo31eahUOjTaIDQaA2pNEBpNkP+rJMm0tVZQV70Ph70Fxeuh5dg+oqYuPOP1HOYG6ndv8H3fWIPX7UTW6Jg6YxWh4WlnPL8vLG015B9+l7aWcgBMaRMGpV57o298TdBJyaEgCEJfiCRG6KK04EtcTgu68FgiJmb36VxLZRHm/N1Ez17GGLnreJTImAlYLfU0NeQPehKjKF7yDv4fTkcruvAYUi+57ZQF4U4UkjYBe2M1DXWHiYnvGmf62ItoqDuM1VJH/qF3mDj9pjNe3+2y0t5aicPewsHd/0vmhMuZveC+HltUnM52qsq3+XfFRlaRtOy6M17L47T7dpju2GrA63YSYkoia+r1g5oQeL1uyoo2Ula8CcXrQdbqiV/0XSImzRtw3W5rW0d3kkSwaYBbFwiCcE4TSYzgZ7M2UVm+FYCEpVeetMngmTnMdagNIURMmAP5ThTFe3zJfmsjTY1HCQ1LHfS4y4u/oqkhH0mlJuU7t/SYwACEjplC/e4NNNXnn7LJokZrZNKMm8nd/2+S0s7r1fU1WiMz599L/sG3aag7zLEj72FuLMBgjEZRvKSPzfEnNNXlO2htKae58ejxBAZIOO9ydGFnTkJkjQ5deLR/5+zk9CWkZV444JlHJ1IUhYO7X8bc5FtLx5Q+icTzV6IJDhuU+q21vladIGMUavXAty8QBOHcJZIYwa+mchcoCsHJYwlJHtfn84Pi06ne8gn25jrcLj1qjR6Px0lTfT51NfuRZTWJqWfuLukLc3MxxQWfA5C49KpeTf81xCajNppwW1ppbiwk8qRZPKFhqcw97+d9SgzUaj0Tp3+P8uLNFB/7zL9iMEB65oUg+RJCc1OhfwCwLGvwel0EJaQT2YtuJPDN9EpcupJ6UyRhjjCSBvl+gm9mmrmpEEmtJXn59YSOnTaoM8xsdb4kJiQ0adDqFATh3CSSGAHwrfJaU+mbshsxaX6/6tBHxBI+fhZln7xCjSkSd30DNksDskpNZFQWKZnno9EEnbJLdH85ne3k7v83KF7CsmYT3svuL0mSCc2YTOPBLTTWHT4liQG6JDBtrZU4HW1ERne/keTxeiVSMpZiCk+lvvoASL5rKRyffB0dN5WgkDis7XXUVe9FUqlJWnbdGdfTaSnYT0hqFrJGhzYknMQlV3ZZVHCwKF6PPymMnrmEsHHTB/0anS0xISaRxAiCMDAiiREAaGo8htPRikpv7PW06u4kLL4Ca20ZrcVHCNGmYwpPxRSa3KXMYCQwiuIl78DxcTCJS1f2qV7TmCk0HtxCQ90Rxk5ccdokor21in07/gEoTJ9zV69aD9RqA3pDGOBLYqrLt4EkI3U8dLoQysu+AnzrwujDY3qsz3x0L2XrXsUQk8SYlfcia7RDksAA1FTtxmapR6U3Ej3j/EGvX1EUbLVlAASLlhhBEAZIJDECADUVOwEIz5qNrB7Yr0VQbApBsSn+D9q21kpamouxWRoxhaUQHTsZWaUZ0DXKijfT3OhbFyX1klvPOA7mZMbEMchaPS5nO63mstPO6jEGxxIalkZz41EO7VnDjHk/Ou20YJfTQknBF1RVbD/jIncAhpgkomcu7bGMpbqY8i/+DUBQfAayZuj2ovJ4XJQUfAlAzJzlqHSDP17F1W72rdYrywSHDP26QYIgnN1EEiPgdLTR0JALQMSkvs1IOm2drU0U5G6gtnofHrcdvSGCEFMi5cWbqavZz9gJl6M39Lwi7emYm4oo8Y+DWdmvtUtklRpT+kTM+XtoqDt82iRGklVMnH4j+7a/gKW9hoN7XmHG3LtRa45/wCteD1UVOygu/gKP3QpASGoW6qAQFK8HxesFrxdF8aJ4vb7ZPio1cYu+2+MmjI6WRorX/g+Kx01wyngSzrscYMhaYarKtuJ0tKIJDiNyyoIhuYa/FcYYi2qAiawgCILYO0mgpmoPeL0ExaWij4wblDob9m2mva2GMeMvZcH5jzL3vJ+TNfU6ps25E1lSUVW2vV/1WtpqOLL/DVAUwifMIWLi3H7HGDpmii/W2sMoPbScqNV6Js+8Da0uBGt7LYf3v4bX61t9t9Vcxu6tf6Eg9wM8div6yHgyrvoR6VfcSfKFN5CS8z1Sv3MLqZfeRtpl3yf98h+QseIu0r57e4/dSG67lYI3n8brsCGpNLgtLZjz9/T7tZ6J22WjtHQjALHzLkZWD02C4R8Pc1IXoyD0xvPPP09aWhp6vZ7s7Gx27NjRY/m3336brKws9Ho9U6ZM4ZNPPjlt2R/+8IdIksSzzz47yFGfHT7++GOys7MxGAyEh4ezYsWKHssrisKjjz5KfHw8BoOB5cuXc+zYsUGPSyQx5zhLey1lZb7F7Xo7MPZMWosPY6ksJi1zGXGJs1Br9P7p1hptEOFRY7FYavtcr8Peyt49L+JytqOLiCVx6VUDijM4JQtJpcZua6K0cH2PZfWGMCbPvA1ZpcXcWMChPWtwOtvZv/clLO01qHQGEpauZOwNqwlOyhxQXC5LK0df/z0ehw11UAjJF91I+MRsyte/Sf1/3vKXO3GjzYFw2FvYv+t/8Dhs6CJiCc+aPSj1dsdaUwqIQb1C37311lusXr2axx57jD179jBt2jRycnKoq6vrtvyWLVu44YYbuP3229m7dy8rVqxgxYoVHDp06JSy7733Htu2bSMhQXRxdufdd9/l5ptvZtWqVezfv59vv/2WG2+8scdzfv/73/PnP/+ZF154ge3bt2M0GsnJycFu72EV834QScw5zG5r4sCu/8Vjt/rGsGTNGpR6Fa8HRVFQ5h9f3bVz4GyruYyq8u1ERvU80+eUOhUveYf+D4/dgjYsmvQr7kTW9G0czMlUWh1xCy4FoLTwS4qPfd5ji0yIKZFJ07+HrNKg0RqpKPkGr9OOPjKe8bc84tsyoIfuod5QFAWVVo/HYUNSa8i48oeEjZ1G9IwlZF7zUxrqDnF43+vA4OwQ3mIuZffWv9DeWolKbyR5+fVI8tC8LXgcNizVvs03wyLHDMk1hLPX008/zR133MGqVauYOHEiL7zwAkFBQbz00kvdln/uuee4+OKLeeCBB5gwYQJPPPEEM2fO5K9//WuXcpWVlfz4xz/m9ddfR6MRXZwnc7vd/PSnP+UPf/gDP/zhDxk3bhwTJ07k2muvPe05iqLw7LPP8otf/IIrrriCqVOn8q9//Yuqqiref//9QY1PJDHnKKejnQO7XvLN7omIJe3yOwatCyE4aRxuWxsNB77F0l6L09FGc2MBRw//h7xDbxNiSiSuj6v2VpR+g7mxAEmtIe2y76MNGZw9d6JnLCF+0XcBKCvaQElBz4lMRNQ4Zs67l8SUhVSUbwEgcupCarZ9irNjU8O+sjVUUfXV+x2tVZJv9lHWbIJiU9B0vE7F6yXRHMu0OXdis9RT3TEQu6dYz6Smcjf7d/4Tl7MdfWQcY6+7j6C4wV+MsFNbWb6v29IYjSEocsiuI4wera2tXR4Oh6Pbck6nk927d7N8+XL/MVmWWb58OVu3bu32nK1bt3YpD5CTk9OlvNfr5eabb+aBBx5g0qRJg/CKAq+397S39uzZQ2VlJbIsM2PGDOLj4/nOd77TbYtWp+LiYmpqarrc/9DQULKzs0/779VfYmDvOcjttnNw90vYrA1oQsLJWHEXakP3myX2h0qnJ37hZTTn7qLJtg1HUy2yJBMSmkJqxgW+2UmyqtfrxbS1VlJ87DMAEhavQB8RO2ixAkTPPB8kmeqvP6CsaCOK10v6uItPG5sxOJaC3A9R3E4MsSm0VxbRcnQPzYe3EzFlPjGzl/dq40x7YzW12z+npcC3+F1QXCqhY6cjSRJh42dS9skaGg98S8zsZf7WEUNQJMGmeGyWBqD/09WLjq6jvHgTAKaMySRfdCMq7dCunttWfASAiDOstyOMfMFFMipd//8G9jh85yYndx0b9dhjj/H444+fUr6hoQGPx0NsbNf/+7GxseTl5XV7jZqamm7L19TU+H9+6qmnUKvV/OQnP+nPyxg0A72f0Pd72ltFRb4Ncx9//HGefvpp0tLS+NOf/sTSpUs5evQoERGnTtDovMdnuv+DQSQx5xivx8WhPWtob6tCZQgmY8Vdg7ac/InCs2YTkurboyiqPhi9IeyU7o/efAB73E5yD7yJ4vVgGjNlUPbu6U70jCVIskzV5vcoL9mM3dZESGgyOr0Jrc6ETh+KTmdCVmmw28xUVWwDIG7+JcgqNW5LC5bKQhr3f0PT4e2EZ81GbQhGFx7TpZuudvtnKIoXR1MdLQUHAF9LSujY6WjDovA67ah0BoITx5CwdCXln72Gy9LKxJgcFElGltUYgqKwWRu7bOvQFw21h/wJTMzci4jNvmhQuqZ6oiheWkt9HzYRfexKFM5e5eXlmEzHE36dbmBdxH2xe/dunnvuOfbs2TOoK1IHWm/v6UMPPcRTTz3VY125ubl4vb6xd//93//NypUrAXj55ZdJSkri7bff5q677hqkyPtHJDHnEMXr4ciBf9PSXIys1ZNxxZ3ozrDQ2kCoDUaCkzIxWPo/Jbgw/yNslno0xlCSLrh2SN9soqadhyTJVG56l/rag122Duik1gQhSyoUrwdj4hiCk8ciSRIZV/2I9opj1G5dh7WmhKZDviZTU/qkLklM3c4vUbwe/8+hmdOIzb6I5rzdVH+9FhQFWaMl/rwrCBs7DbXBSNmn/+JAWQWh4Wmo1HpKizYydfbt/Uo8XC4rx458AED07GXEzbv4/7d35/FR1ffi/1+zZDIzmcxkz2RPIIGwGmUJi1UUEOpSF2pFrYr14q0XvVp81KXXpdfa0nulLVfr1u/PWrVy9aqtVKsogoJK2BfZEgghZN/XmSSznt8fIaMRZE1yZjLv5+MxD5gz55x5n0OYeefzeX8+nzM+x9norq/E1+1Ap48c8JW2ReiyWq39vnC/S0JCAjqdjvr6/gMC6uvrsdtPPKLSbrefdP/PP/+choYGMjMzA6/7fD7uv/9+VqxYQXl5+RleTXA43Xt6//33s2jRopPuM2LECGprawEYO3ZsYHtkZCQjRoygoqLihMf13eP6+npSUr6eAqO+vp6CgoJTxnYmJIkJE4qicOjAKpob9qPR6cm+8ieYkoZmhEjr6LObYbaxfi+1VVsADRmX3TSgXV7fJX7iTAwxiTgqSvA42/E4jj2c7SheD15P17E9Ndinfz+QVGk0GqIzRmFJz6PzaDGOimIURTluDpu4CTNA8aPRRxCbPxlTQipNuzbQWryNrPm34u5spfNoMYdWLidt9o+IGzOFaTMfpOzgB/R0t6LR6Bg7cSExsTlndX1lJR/gdncSGZtE8tTLzuVWnZGO8t6upNj4UWjPsfhZhB+DwcCkSZNYu3ZtYGiv3+9n7dq13H333Sc8Zvr06axdu5b77rsvsG3NmjVMn967rMott9xywpqZvlE4w11iYiKJiYmn3G/SpElERkZSUlLChRdeCIDH46G8vJysrBPX0OXk5GC321m7dm0gaeno6GDz5s3cddddA3YNIElM2Dh6eG1vQqDRkDn/lnMeBjzYXD3tlBx4B4DESZdgycgbsveOzhxFdGb/BTAVRcHn6sLjaMfraEdnNJ+wCFaj0WDNHoM1e8xxrwGkXXxtv3P6vV6cNUdILpxPVNoIooDY/Ek02TOpWvMGhop2YrMvIm/M1ed8XS1Nh46tj6UhffYNgzYXzIl0HumdTPFE61QJcTqWLl3KbbfdxuTJk5k6dSorVqzA6XQGEo5bb72VtLQ0li1bBsC9997LxRdfzO9+9zuuuOIK3njjDbZt28af/vQnAOLj44mP719gHhERgd1uZ/Ro+TntY7Va+elPf8rjjz9ORkYGWVlZPPXUUwBcf/31gf3y8/NZtmwZ1157LRqNhvvuu48nn3ySvLw8cnJyePTRR0lNTT3l/DJnSpKYMFBbtZWjh3unk0+7+LrAJG9DqS65g8RqIzr9qafNVxQ/xXvexOfqxpSUTvIQdXmcjEajQW+MQm+MgtNYKft0z6nR69FHWemqKyduzBQ0ut5WioTzvofOaKZmwwdYolOIjc876xoYAJ/XxaH9fwMg/ryZRKWeXUvO2fA4O+hurAIgLkG+HMTZueGGG2hsbOSxxx6jrq6OgoICVq9eHSgeraioQPuN6QFmzJjBypUreeSRR/jFL35BXl4e7777LuPHn/3acOHqqaeeQq/Xc8stt9Dd3U1hYSHr1q0jNvbrUaIlJSW0t7cHnj/wwAM4nU7uvPNO2trauPDCC1m9ejVG48AOIJAkZhhTFD/VFUUcLvkn0FsDET9x5pDHUfnJG7Tu3wLjf4g97dQTqdVUbKKtpQxthIHMeT9GqxveP6amxDTqN63GWVOGJSMvMGor05NLpymO7q4WYuPPfl4YRVE4XPJPerpbiYiOxT79igG+gpPrOLIP6J3gzhAZPaTvLYaXu++++zu7jz777LPjtl1//fX9WgtOJVTrYAZbREQEy5cvZ/ny5d+5z7ene9BoNDzxxBM88cQTgxqbzBMzTHV3NbN76//jcPF7oPiJHTMF+/TLVYklMqa337Wm8uRThPdpbSkFIGnynEEtPA4WcWOnYssr4MiqP9F2cCcajYbYEjf6CBOmqARcPW3ndP6KI58FaovSZ//ojBfLPBeKotC8+wsAEpLlN2AhxMAa3r/ihiFF8VNTuZmy0g/xe9xo9AZSLryK+AnTVRtGGDt2KnWbPqSzvQJHRw0W68m7Yzzu3uJZQ0zCUIQ35L45P05fF1Hq936A3myh4qO/4qwpo9ubhE5noK5qG+cXnn0hXF31NsoDc+xcTXTm0HbndJbvp6e5Fm1EJCkZZ7/OlRBCnIgkMcNIT3crJXvfpq3lMABRaSNJn7OQSJu6s6NGmKOxjZxI+6Fd1FZtIW/sNSfdv28EkN44+KOR1PBdyWTSpEuxpI2kZd1qGv31aLU68ifeQLTt7EaRNTcWU7Kvtw4mcdKlJBRcdNYxnw1FUWjYeqwWK20aERHmIX1/IcTwJ0nMMKAoCnVVWyk99E/8HhcafQQpM68kfuLMQZ/E7HTFj59O+6Fd1NXtJGfU99Hrv7tLw3MsidENwZDqodRVX0FX3VEUv5/ImASsOePQaLSBlhlF8ZPWnkLK+bcCSu86SrqzG0HU0VbBvq9e7+1KzJ8cWCNqKDmrD9NVdxSNTk969oVD/v5CiOFPkpgQ5+ppp2TvO7Q2HwTAnJJDxtyFgTqUYBGVnoshJhF3WyMNtbtIzTjxitmKogSSGL1x+Pzm3t1Uw5F3X8SSMQq/10PjtrVYMvJIn7MQrT4CxecjrrR3ErxznUelvbWcPV+9iuL1EJ2VT/rsG1TpSuxrhUlJnSwFvUKIQSFJTIhSFIX6mu0cOvg+fncPGp0e+/TLSSi4aNBWIT4XGo2G+PHTqf3iH9RWbiYlfeoJv1h93h5Qeqe51g2T7iTF76du4wckTrqUpMmz8blduNoaqfzor5S+9TQjFyw5tm6Rj7rqbZijkrHGZJzyvCdSW7WVQwfeRfH7MCdnkvn92wLDtodSV30ljsqDoNGSnj203VhCiPARfN924pRcrg727nyFkr1v43f3YE7OJO/G+0m8YFZQJjB9YsdMQaPT4+isoezgB7h62o/bp68VRhthGNLJ2AaTRqtFq9Oj9CVnhkjMSenkLVyKzmCk7G/PYdnbhqung/bWI5gtZz4iS1H8HC5+n4P73kHx+7DlnseI6+4a0pFI39S0az0AySnnYTIfv0CcEEIMBGmJCSGKotBQu5tDB1fhc3Wj0epInjb/WPIS/FO5601RxE+YQdOuDVSVf05VxZckJU8kPevCQPFq38ikYdMKc6zexRCTQHdDFX6PG22EAcXvQxthIOOym6j5+yt0tFUQn5hPbv7VpzUh4Dd5PT3s/2olrU29XYrJhfNImjpXtXoon6v72OKWkJo5Q5UYhBDhQZKYEOF2dVJ64B+BRQlNielkXHbjcWvzBLuU7/2AqLRcmnatx1l9mIbaXTTU7sIWm0N27lx8vt41lnTDpB6mr8ssfvx0St9+hoqPXyfr8kWBpDO5JoomQzTdziZIBO0ZFvJ2d7Wwd8fLdDkb0egjyJh7IzF5BQN9GWek7dBuFJ8Xc1QS0dahWZ9LCBGeJIkJcj6fm6ryL6g4uh6/xwVaLclT5pI0eY4qtQ7nSqPRYhs5HtvI8XQ1VNK0cz1th3bR3nqEfTtfJffYGkG6CHW6QQaLwRZP7vX/TtnfX+DQ//6ejLkL0ZujASNORz3xSb0rxJ5JAa6iKBTveZMuZyMRlhiyrvwJ5iFa1PO7+L1emnZ+BkBy6gWqzU0khAgPksQEKUXxU1+zkyOHPsLt6gDAlJRB2iU/xJx8dkWfwcaclEHmvB+TMvNKSl77L7yeHrzeHgDcna0qRzfwDNY48m68n8qPX+foB3/B4DdQiYYoSzL2tElnfL6WphI62o6i0Ucw8vp7METHnvqgQda441NcrQ1EGCwyuZ0QYtBJEhOEWpsPUVbyAY7OWoDe9W5mXEHMqIKgmfdlIEVYYjAnZ+KoOoTX0w2Ap7MtUD8SylztzTRs+ZikKXOJjElAZ4jk/Lwf0xp3+NhsvRpi4898RXFF8VN+6GMAEiZeGBQJjKutkYatawAYOfpKmdxOCDHoJIkJIk5HPWUlH9DSVAKA1mAkacocEs773rAZqfNdzClZOKoO0d3VjF5vwuvtxtXWiCkxTe3Qzoq7s42GrWto2b8Z/H5QFCZm/TDwemz8yHM6f1P9PhydNWgjIkmcdOm5hnvOFEWh+tN3UHxeYuPzSEo5T+2QhBBhQJKYIODq6aC8dA11NdtAUUCrJX7CTJKnzkVvsqgd3pAw27MA6GyvxGxJpKOtAldr8Ccxit+Hu6MVV1sDrtZG3G2NuNoacdYcQfF5AYiNH0V2zIkn9zur91T8lJf2tngknH8x+iCY2bjt4A4clQfR6PTkjblaamGEEENCkhgVeb0uKo+sp7LiCxRv76gc68gJpMy8Muhm3B1sfUlMl7MhUOTqamtQM6TjKH5fYBK37oYqXK0NuNubUfy+E+5vi80hO+8yYmJzBjSOqqNf0uVsQGc0k3j+rAE999nw9nRRu2EVAFk5l2CKGp4Ldwohgo8kMSpQ/D5qq7dSXvoJHrcDALM9m5QLryIqdWC/8EKF3mTBYEvA3d6E19Nb3OtqVTeJURQFd1sjnZWHcFSU4Kgqxe/uOW4/rVaPyZyAKSoBc1QiJnMCUdF2LNGpA94i0dlRzZFDqwGwT78cXaRxQM9/Nuo2/hNvtwNzVCIZORerHY4QIoxIEjOEFEWhuXE/ZQdX0+1sBMBgSyBl5hVYR04M+yZ4sz0Ld3sTPm9vca8aSYy7sw1nTRmOykM4Kg/i+dYoKb3eREz8SGyxOZijkjBHJRJptA5JwbXP6+LA7v9F8fuwjhhP3Pjpg/6ep+KsLadlbxEAeWOvRauVjxQhxNCRT5wh0tlRzeHi92lvPQL0zkibXHgZceOno9XJPwOAOSWbtpLteDx9SUxjYMbbwaAoSm/9SvVhnDVHcNaU4elo6bePRqvDassiNiGP2Phcoq1pqo0QKy3+B91dTURYYkifo86ijt+k+HxUr3sLAHvaJGLiRqgajxAi/Mi35yDrcjZy9PBaGmp3AwoanZ6EgotImjwbXaRJ7fCCSl9djKunDQC/x4XX2U6EJWbA38vn7qHs7y/QXV/R/wWNBkt0KjGxOcTG52GLzTnjZQAGQ0vTQeqqtwMaMi67CX0QLMvQuONTeppr0RmjGDHqcrXDEUKEIUliBklv8rKOhrpdvSOOgJhR52OfeWVQzOkRjEwJKURExwa6cPTmaLSGwan5qNnwLt31FWg0Oqwxmdhis7HF5mCNyUKvD77ZgjvajgIQM/oCLOlnPq/MQOuqO0rd5t7anNzcy4kwqJ9UCSHCjyQxA6zL2URF2Vrqa3cFkhdrzjiSCuepPiV8sNNodWRf+RMad67HkjYCW+556AYhiWkv/YrW/VsADRMn3xES3SD+YyOggmHIvcfRxtEPXgG/n8TkCSSnXqB2SEKIMCVJzADpdjZxtGwd9bU7A8lLdM44kgsvw5w0PJYJGAqmxDQyL7tpUM7d01JPy75NtOzdBEBGzkUhkcAA+P29c86ovV6Wz93DkX+8hMfRhikqkbxx16pemyOECF+SxJyj7q5mKsrWUVezExQ/ANHZY0meNk+SlyDg97ppP/QVLfs24awpC2y3xmSRnTtXxcjOjBJIYtT7L6v4fVR8+Co9TdXoTRYmXHC7LC0ghFCVJDFnqae7laOH11FXu713WnkgOnsMyYXzMCdnqhyd6G6qoWXfJtqKt+Nz9Y52QqMhPiEfe/oU4hNGo9GGzirgfd1JarXEKIpC9Wfv0Hm0GI0+ggkTb8NkjlMlFiGE6CNJzBnq6W6jouxT6mq2BWZqtWSOJrlwHlEp2eoGFwYURaGnqQZPZxs+Vxfeni58ri58Pd3H/uzC42inp7k2cEykMYaU9CnY0yYTabSpGP3ZU5Telhi1huM3bl93rBtOw9gJC7HGSCujEEJ9ksScJldPBxVln1JbveXr5CVjFMnT5hGVEp6z7Kqh/dAuKla/duodtVoSEsaQklFIbHxuyK/+/XVLzND/l207uJO6jf8EYGT+lSQkjRvyGIQQ4kQkiTkFt8tBxZHPqKnaFFjQLyptJMnT5mNJO7eViMWZazu4EwCjKQ6TOQF9hImICBP6CBP6CHPg71ZbJobIaJWjHTiBwt4h7gJz1pRR+fFKANKyZpKeNXNI318IIU5Gkpjv4HY7qCr/guqqjfg9vYszmlNysE+bjyUjT+XowpPf68VReRCAsQU3E20N7hWuB5KiQkuMq7WB8vf/jOL3kZA0jpGjrxiy9xZCiNMhScy3uHraqSzfQE311sDK0qbkDOzTvo8lc7QMJ1WRu70pkFC2NB3EEp0S8t1Ep0s5Nmx/qPhc3ZS//2d8PV1E2zLIn3hD2NxrIUTokCTmmO6uZiqPrKeuZnvgt15TUjpJUy/DmjNOkpcgEBmXTNz4abTs3UT5oY/oaDtK/oQfhcUw376CZPe31nYaDD53D0c/eAVXawORRhvjz78VnU79pReEEOLbwj6J6XI2UlH26bEZdnuHSkeljiBpylwsmaMkeQkiGo2GtEuux5SUQc36v9PSWMyOoj+GRdeSyRwP9LZGDSZ3Zyvl7/1/9DTVotFHMK7glmFVWySEGF7CNolxdNZRUbaOxro9QG9TvSVzNMlT5xKVGhqzuIYjjUZD/PjpmJIyOPrBX+jpaGHnlufJy7+alPQpaoc3aAJJTNvgJTFddUcpf//PeLs6iTBYGH/+bUTbZKkMIUTwCsskZv/u/6W1qSTw3JozjqSpc2WSuhBiTkonb+FSKj9eSWf5fg7ue4eOtnJyx1yDThehdngDzhSVAIBrkFpi2g7uonLNShSflyiLnfEXLMJoihmU9xJCiIESlklMbwKjwZY7kaQpczAlDu+uiOFKbzSTfdVPaNy2jrpNH1JXvZ3OjhrGnXdz4Et/uDCZeltifD1deHuc6I0Ds2q0oig0bF1D/abeFanjEvMZM/HGoFzJWwghvi0skxhbbgHJhZdhjLerHYo4RxqNlqQpczDbszi6+jWcnbVs2/JHxo2/kbjE0WqHN2B0egOGSCtuVwfutib09nNPYvxeD1Vr36StZAcA6VkXMmL05TIKSQgRMsLy0yp99o8kgRlmLBl5jLpxKeaUbPzuHvbteR2no17tsAZUX13MQHQpebs6Kfv7870JjFZL3thrGZl/pSQwQoiQIp9YYtiIsMQw8rolWNLz8Hvc7N/1Oj6vS+2wBsy5Fvcqih9H9WGqPn2bkr/+F1215egiTUy84CekZhQOZKhCCDEkQiKJKS8v54477iAnJweTycTIkSN5/PHHcbvdaocmgoxGpyNz/o/RR1npcjbw1faXcHTUqB3WgDCZjxX3tjWe8bHeLgeH/+9pyt55lpY9G/H1dGGKSuSCyXcRG5870KEKIcSQCImamOLiYvx+Py+++CK5ubns3buXxYsX43Q6Wb58udrhiSCjN0eTdfltlP39RTraKti+6RlS0wvJzp1LhGFgCmLVEBXd2wXaVV95Rse5O1s58u6LuFob0EZEkpQ0nqSUAmJiRwz5WkxCCDGQQiKJmT9/PvPnzw88HzFiBCUlJTz//POSxIgTikrJYfQtD1L7xXu0H9pFTeUm6hu/IidnLqnpU0Pyy9sWkwUaDe62RjyONiIsMac8pqe1gSN/fwGPo41Io42Jk/8Fc1Ti4AcrhBBDICS6k06kvb2duLi4k+7jcrno6Ojo9xDhwxAdS9b3b2XEdf+GMT4FX08XpQdWsb3oGVqbDw35ekTnSh9hwhKdCoCj+vAp9+9qqOLwW8/gcbRhjkqkYOpdksAIIYaVkExiSktLeeaZZ/jXf/3Xk+63bNkybDZb4JGRkTFEEYpgYknPJe/GpaTOWoAu0oTTUcdX215i5+bnaGrYh3JsuYlQEBPXO5u0s+rkSYyj+jBl7zyLr8eJxZrGeVP/VSavE0IMO6omMQ899BAajeakj+Li4n7HVFdXM3/+fK6//noWL1580vM//PDDtLe3Bx6VlWdWSyCGD41WR8LEmYy+9RfEn3chGp2ezvZK9u18jW1frqC+Zgf+Ywt/BrOY2N4k5kQtMYqi0FlxkPL3/0zZ357D73Fhi83hvCmLMRgsQx2qEAPu2WefJTs7G6PRSGFhIVu2bDnp/m+99Rb5+fkYjUYmTJjABx980O91RVF47LHHSElJwWQyMWfOHA4dOjSYlxByPvvss+/8ft66det3Hjdr1qzj9v/pT3864PGpWhNz//33s2jRopPuM2LE1+sY1dTUcMkllzBjxgz+9Kc/nfL8kZGRREbKzKPia3pTFGkXX0fSlLk07dpA81df0uVsoHjP/1Feuob07Iuwp00O2qULbLHZ36iLaSfCYsPn6qb1wFaa92zE1doQ2DfRPpHR468P2msR4ky8+eabLF26lBdeeIHCwkJWrFjBvHnzKCkpISkp6bj9N27cyI033siyZcu48sorWblyJddccw07duxg/PjxAPz3f/83Tz/9NK+88go5OTk8+uijzJs3j/3792M0Gof6EoPSjBkzqK2t7bft0UcfZe3atUyePPmkxy5evJgnnngi8NxsNg94fKomMYmJiSQmnl4ffXV1NZdccgmTJk3i5ZdfRqsNyZ4wESQizNGkzLiCpEmX0vzVlzTt2kBPdyulB1Zx9PBaUtKnYIvNwWrLRB8RPB9mfXUxjo5qmvcW4e3qoLV4B4q3d7oBbUQkdvsFpGZOI8qSrHK0Qgyc3//+9yxevJjbb78dgBdeeIF//vOf/PnPf+ahhx46bv//+Z//Yf78+fz85z8H4Fe/+hVr1qzhj3/8Iy+88AKKorBixQoeeeQRrr76agBeffVVkpOTeffdd1m4cOHQXVwQMxgM2O1fTw7r8XhYtWoV99xzDxqN5qTHms3mfscOhpAYnVRdXc2sWbPIyspi+fLlNDZ+PU/GYN8gMbzpIk0kTZlDwvkX0bJvC407PsXT2UpF2afAp4CGKEsy1tgsbDFZWGOyMJriTvmfdzDFxI3A0VFNw5aPA9vMUUmkZk4nOfUCWfdIhIxvD7b4rtZzt9vN9u3befjhhwPbtFotc+bMoaio6ITnLioqYunSpf22zZs3j3fffReAI0eOUFdXx5w5cwKv22w2CgsLKSoqCtkk5nTv6dn6xz/+QXNzcyCZPJnXX3+dv/71r9jtdq666ioeffTRAW+NCYkkZs2aNZSWllJaWkp6enq/10JthIkITlq9gYTzLiR+/HTaDu2i8+gBumrLcXe04HTU4XTUUVu5GYAIgwVLdCqGSAtGUxy22Gystkx0esNZv7+iKLh6Wuloq6CjrZLu7mZ02ggiDFHY06cQbf16kdL4xDFUlX8OGi2JSeNIzZyOLTZH1cRKhJeYUjd6/dm3hnuPtRx+e7DF448/zi9/+cvj9m9qasLn85Gc3L91MTk5+bi6yT51dXUn3L+uri7wet+279pnqJzr/YQzv6dn66WXXmLevHnHfRd/20033URWVhapqal89dVXPPjgg5SUlPC3v/1twGKBEEliFi1adMraGSEGgkanIzZ/ErH5kwDwODvoqi3HWVtOV2053Q2VeNwOWpsP9j9QqyU6Op2Y2BxscTlEW9PQ6iLQoD1W1KYFjTaQaPh9Hjo7qo8lLUfpaKvA7e48YUwd7ZVMmn5P4HlM3AgmTf93IgwWIo3WwbkRQgyByspKrNavf4alhvHcne49feihh/iv//qvk57rwIED5OfnB55XVVXx0Ucf8X//93+njOPOO+8M/H3ChAmkpKQwe/ZsDh8+zMiRI095/OkKiSRGCLVERFmx5U7EljsRAL/XS3djJa6WBrzdDnqaa3FWl+FxtNHZXkFnewWV5etPcsbeKn0FBb7diqjVYkpMw2zPwhhnx+9xU/vFP3B0VON2OTBEfj3CyGJNHYSrFWJoWa3Wfl+43yUhIQGdTkd9ff9FXevr67+zpMBut590/74/6+vrSUlJ6bdPQUHBmVxGUDnde3qmA2sAXn75ZeLj4/nBD35wxnEVFvauz1ZaWipJjBBq0er1RKXkEJWSE9imKAqezlac1YdxVJfhrCnD/Z3rGymBLlC9ORqzPQtzSjZR9mxMyelov9Ul1Vq8nZ6malqbD5Gcev5gXZYQQc1gMDBp0iTWrl3LNddcA4Df72ft2rXcfffdJzxm+vTprF27lvvuuy+wbc2aNUyfPh2AnJwc7HY7a9euDSQtHR0dbN68mbvuumswLyconMnAGuj9nHv55Ze59dZbiYg48xGPu3btAuiXMA4ESWKEOEcajQaDNQ6DNY7YMVMAUPw+FL8fFD+KX+mdUM/v7/1T8YNGi94cfco6luis0ZLECAEsXbqU2267jcmTJzN16lRWrFiB0+kMFJjeeuutpKWlsWzZMgDuvfdeLr74Yn73u99xxRVX8MYbb7Bt27bA9BwajYb77ruPJ598kry8vMAQ69TU1ECiJL62bt06jhw5wr/8y78c91p1dTWzZ8/m1VdfZerUqRw+fJiVK1dy+eWXEx8fz1dffcXPfvYzLrroIiZOnDigcUkSI8Qg0Gh1A7I+U3TmaBq3r6O1qXeZBCneFeHqhhtuoLGxkccee4y6ujoKCgpYvXp1oDC3oqKi39QbM2bMYOXKlTzyyCP84he/IC8vj3fffTcwRwzAAw88gNPp5M4776StrY0LL7yQ1atXyxwxJ/DSSy8xY8aMfjUyfTweDyUlJXR1dQG9LWeffPJJINHMyMhgwYIFPPLIIwMel0YJo+E9HR0d2Gw2xv3rb9BFyg+pCH5+r5d9f3oExetm0ox7sUQPbFOsGN683h6+XPtL2tvbT6tO4lT6PkNnzv4lev3Zf4YOdFyhaqDuJ4TvPZUZ44QIYlq9Hkt6bxFca9PBU+wthBDhRZIYIYJcdOZoAFqaZU0XIYT4JklihAhylmNJTHtbOT6fW+VohBAieEgSI0SQi4xNQm+ORvF56WirUDscIYQIGpLECBHkHEeL8XZ1AhoiI8OnYO9kwmg8ghDiJGSItRBBzOfqoWrdWwCkZc3AbElSOaKh4/f7cHW34nJ1EGGI6rcqt0ajob5mJxVln+J2O4hPHM2I0VdgMFhOckYhxHAjSYwQQaxu4/t4HG0YTXHk5M5TO5xz5vO6cDjqcHW3EmmMwRabfdw+ffPhHD38CfU1O9HqItDrjWTnziU2PheNRktHWwVV5RvIHDGLuIR8ive8SemB98gdc5UkMkKEEUlihAhSjqpSmvdsBGDUuAXntEq22r5OTNbR1LifiAgzfr+XjOzvkZg8od/EgBqNhoba3TTV72P8+bdisaZy5NBHlJd+QmSklahoO7VVmzFbkolPGotebyRn1PfZv/t1HO3VxCWOVvFKhRBDSWpihAhCfo+Lqk/eBCAlvZDY+IFbME0Nfd0/LU3FjJm4kPML7yIppYDK8s/p7KwBehMdRfED0FS/l9j43ED3WUb2xfh9LtrbjgLQ5WzGaIoNTBBmibaj0xlwHDuXECI8SBIjRBCqK1qNu6OZSKONEaO/r3Y4A6Kl6SDWmKxAbUtqxjQ0Gi3trUeO7fF1sW7fUHKtVo+i+NFHGDFEWuly9K5KrNMb8HldvUf5fQAYTbF0d7UM0dUIIYKBdCcJEWScteU07doAQN7Y6855OvJg4fd70Wp1gcREp4sg0hhDl6Ph2B5frwvlizPTpfPQOtqA4vf1djdVxuJwO2kdbYDKGDpdnb2vKwpxBz3odJGB5Mfv9wEKWq18xAkxnMn/cCGCiM/VQ+VHfwUUklMvIH4Y1Xfo9Ua8nt4F4lAU0EBkZDQd2rZjyYgf0KDRaIhsjsdZUwYQqJfR6iPwdjkAMMan0HZwB94eJ3pjFE3ZflzloDNYaB1twO1oo+TlJ7FY00hIHk9i8nhM5ngVrloIMZikO0mIIOH3uKha+ybujhaMplhy83+gdkgDyhyVQE9PGwBtY0y9yUaiEcXnBUDx+XuTG8CUnInP1UVXfSUA3q7O3vsSbwfAkp6LRqujYetaAJy1ZfQ012DLOw8AV0sDiuKns72SIwc/ZMvnT7Ft4/9QXvoJne1VMs+MEMOEtMQIoTLF76f1wFbqNn2I19kBGg35Exaijxge3Uh9om3pVDdup8JcTjSj8HY76GmqwZScAfQudtknKiULU1IGdRv/iX3G5XQc2Y/f6yF+/HQATIlppMy8ktov/8m+F/8DbUQkSZNnY0nPRVEULBl55C96hM6jxbSX7sZRdRhnZy3OzlqOHv4EQ6SV+MR84pPGEpcwCo1Gfp8TIhRJEiOEijorDlL7xSp6mmoBMJriyM2/CltslsqRnTu/30tnexW22GxaRxvwubKJ9uRTv2k1flcPzpoyFL+PhIKL8Lm6qd/8EfooK0mTLkVvjib1omuo2/gBFatfw2BLIHnKXAy2+MBw7ajUEWRdfhsAelNUoNtJo+mtrTFY44ifMIP4CTPwdjvoKNtHx5F9OCoP4nZ1UFu1hdqqLUQabaSkTyUlfSqGyGjV7pcQ4sxJEiOECnpa6qn94j06y/cDoDUYyc65lLTMGcOiGLWlsYSD+/+O2+Mg/7ZfEIEBXaQJ+8wradj6CY3b1xFhiye5cD4R5mgUv4/Y/MnoTF9PVKeLNJF2yYJ+5+1LYPpERJ3eMgx6k4W4cYXEjSvE7/XgrD5MR9k+2g7txNXTTnnpGsrL1pKQOI7UjEJi4kb2ex8hRHAK/U9LIUKIu72Z+q1raD2wDRQ/aLWkpU8ja+RsIgxRaod3zhRFobriSw6X/BMUBX2UFVdbExGWGAC0Oj32afNh2vx+x2m0OkxJ6ac8/0AkFlp9BNFZ+URn5ZPyvR/Qfmg3zXs30lVbTlP9Hprq92AyJ5CaUUhy6iQiDOZzfk8hxOCQJEaIIeDuaKFh6xpaDmwFf++EbvFJYxkx6vuYoxJVjm5g+P0+Sg/8g9qqzQDEji0kbda1aIN4pmGtPoLYMZOJHTOZ7sZqWvYW0Vq8ne6uJg6X/JOywx+TmjqF9OzvYTTFqh2uEOJbJIkRYhC5O1po2PYJLfu3BJKX2Pg8snLnYIsJ/bqXPh5PF/t3raStpRTQkHLhVSScf3FIdcmYEtNIu+SH2GdeSVvJDpr3bKSnqYbqio1UV20i2V5ARs7F/RaiFEKoS5IYIQaBu7OVhq2f0Lp/S2BG2dj4PLJGzhkWRbvf1OVsYu+Ov9Dd1YQ2wkDmvFuwjhindlhnTWcwEj9hBnHjp+OoOkTjtrU4Kg9RX7OD+podxCeNJTNnFtaYTLVDFSLsSRIjxADqHWXzMc1ffRFIXmLicsnOnXPCFZtDXWvzYfbt+Ss+VzcRlhiyr7oDU2Ka2mENCI1GQ3TGKKIzRtFVX0HDtrV0HN5Lc8N+mhv2ExM3goycWcTG54VUi5MQw4kkMUIMAEXx01q8nbov3sPb3TurbEzcCLJGziEmboTK0Q2O2qotHDzwLvj9mJMzybryJ6c9WijUmJMzyb7idnpa6mnc8SmtxdtoaymjraUMW2w2I0ZdLi0zQqhAkhghzoHf46a1eBtNuzbgau1dA8gUlUhu/lXEJYxSObrBU1e9nYP7/gZAzKjzSZ9zQ1AX8A4UY1wyGXMWklw4j6adn9G8p4j21nJ2bn6OhKRxZOddJjUzQgwhSWKEOAseRxtNX31Jy94ifD296wFpDUaysy8hLWvmsJjr5bv4/V6OHPoIgITzZ5Fy4VVh151iiI4l9aJrSTh/FvWbP6L1wFaaGvbR1LCf5NTzyRo5B5M5Tu0whRj2hu8nrRCDwOd2Uffl+zTvKwqMNjKa4kjLnIE9ffKwWXH6ZBpqd+F2daCPsmKffnnYJTDfZIiOJWPOQhLPn0Xdpg/pOLyH+podNNTtJiVtKlkjL5VZgIUYRJLECHGanDVHqPx4Je6OZgCsMdmkZ19IQtLYsFl7R1H8VB7ZAEBCwUX91jsKZ8Z4O9lX3E5XfQV1Gz/AUXmQmsoiamu3k5F5IZk5F6PTR6odphDDjnwCCXEKfp+X+k2radzxKSgKkcYYRo//IbHxuWqHNuRaGkvocjagjYgMLMYovmZOzmTEtT/FUXmIuo3/pKu+goqyddRVbSU7by72tMlhk/AKMRQkiRHiJLqbaqj8eCU9TTUAJKdeQG7+D4bdCtOnq7J8PQDxE2agizSpHE3wsmTkMfJH99JxeA+1X76Hu72Zg/v+RvXRjYwYffmwLvoWYihJEiPECSh+P407P6O+6EMUvw+dMYr8/GtJSB6vdmiqaW87SntrORqtjoSC76kdTtDTaDTYcicSnTOW5q++pGHLxzgddezZ/mdiE0YxcvQVMpJJiHMkSYwQ3+Jub6Zyzf/irCkDID5xDKPGXRf2BZpVx2phYvInBRZ0FKem1elJPP9iYsdMpmHLGpq/+pLWpoNsaz5EStpUsnPnYoi0nPpEQojjSBIjxDf0tNRz+O0/4utxoo2IJHfUlcfqGMJ3BA5Al7ORpob9ACSeP0vVWEKV3hhF6kXXED9xJrVfvt/b1VS1mfqG3eSMmEtaxjQ0Wp3aYQoRUiSJEeIYj7ODI//4f/h6nFisaYw972aZ6+OYqvLPAYXonHEY4+1qhxPSImMSyb7idhzVh6ndsIruxioOF79HXdVWcsf8YNjO8CzEYJAyeSEAb4+TI+++gKejBZM5ngmTbpcE5huaGw4ASC3MALKkjST3hvtIu+SH6IxmnI46dm/9Ewd2/y+unna1wxMiJEhLjAh7PncPR1b9iZ7mOgyR0UyY9BMMBqlR+CaPtxuASFuCypEMLxqtlvgJM7DlTqSu6ENa9m6ioW43Tc0HyMq+lPTsC4f17M9CnCtpiRFhze91U/7eS3TXV6IzRjFx8r9gMserHVZQ8fu9KH4v0Lu0ghh4epOF9EuvJ3fhzzCnZOP3uDlyaDXbvlxBS2OJ2uEJEbQkiRFhy+/zcvSDV3FWH0YbEcl5BbfLkNcT8Hp7An/XSRIzqMxJ6Yz84T1kzL0JvTma7q4m9ux4mX07X6Onu03t8IQIOtJOKcKS4vdT+fFKOsv3o9HpmVBwG9G2dLXDCko+rwsAbYQBjVZ+7xlsGo2G2DGTsY4YT/2Wj2ja9TlNDftoaT1EVs5s0of5AqNCnAn5RBJhR1EUqj99i/ZDu9BodYw/7xYZEXISfS0x0pU0tHSRRlK/dzV5Ny7FnJrT28V08EO2b3yatpbDaocnRFCQJEaEndov3qNl32bQaBgzYSFxiaPVDimo+Y4lMdKVpA5TQiojF9xNxtwb0ZksdDkb2L31/3HgqzdwuzrVDk8IVUmbpAgrHWX7aNr5GQCjxy0g0T5B3YBCgLevO0mSGNX0djFNITpnHPVFH9K8ZyMNtbtoai5mxIi5pGZOl4UlRViSn3oRNvweF9Xr/wZARvbF2NMmqxxRaJCWmOChN5pJu2QBuTfchyk5A7+7h9Li99i56TkcHTVqhyfEkJMkRoSNus0f4elsxWiKJSt3ttrhhIyvW2IiVY5E9DEnZ5B7/b2kXfJDtAYjnR1VbN/0Rw6XfIDP61Y7PCGGjCQxIix0NVTRtHM9ALljrkanM6gcUejQ6SIA8HvkyzGY9E2UN/qWh7DlFYDip6p8A9s2/iHs55ZpaWnh5ptvxmq1EhMTwx133IHD4TjpMT09PSxZsoT4+HgsFgsLFiygvr7+hPs2NzeTnp6ORqOhra1tEK4guOzYsYO5c+cSExNDfHw8d9555ynvp6IoPPbYY6SkpGAymZgzZw6HDh0a8NgkiRHDnuL3UbX2TVAUEu0TiU/MVzukkGKItAHgcchU+MEoIspK1vdvJfuqfyEiOpae7lb27HiZ/bv/F7fr5F80w9XNN9/Mvn37WLNmDe+//z4bNmzgzjvvPOkxP/vZz3jvvfd46623WL9+PTU1NVx33XUn3PeOO+5g4sSJgxF60KmpqWHOnDnk5uayefNmVq9ezb59+1i0aNFJj/vv//5vnn76aV544QU2b95MVFQU8+bNo6en56THnSkp7BXDXtOuDfQ0VqOLNJGbf5Xa4YScSGNfEtOmbiDipKw5Y4lKG0n95tU07dpAY91umlvCr0XmwIEDrF69mq1btzJ5cm/d2zPPPMPll1/O8uXLSU1NPe6Y9vZ2XnrpJVauXMmll14KwMsvv8yYMWPYtGkT06ZNC+z7/PPP09bWxmOPPcaHH344NBelovfff5+IiAieffZZtMfmiXrhhReYOHEipaWl5ObmHneMoiisWLGCRx55hKuvvhqAV199leTkZN59910WLlw4YPFJS4wY1lztzdRtWg3AyNzLMURGqxxR6Ik0WgHwu3vwe1wqRyNORmeIJPV7V5N7w30YE9OC/t+ro6Oj38PlOvd4i4qKiImJCSQwAHPmzEGr1bJ58+YTHrN9+3Y8Hg9z5swJbMvPzyczM5OioqLAtv379/PEE0/w6quvBr7Qg81A31OXy4XBYOh3vSaTCYAvvvjihMccOXKEurq6fvfTZrNRWFjY734OBGmJEcOWoihUr3sLxeshJm6EjEY6S3q9EZ3OgM/nxuNoJzI2Se2QxCmYkzLIu+E+HJWlHFn14oCf37S/Fr327OvKvP7e+qqMjIx+2x9//HF++ctfnkto1NXVkZTU/2dUr9cTFxdHXV3ddx5jMBiIiYnptz05OTlwjMvl4sYbb+Spp54iMzOTsrKyc4rzm871fsLg3dNLL72UpUuX8tRTT3HvvffidDp56KGHAKitrT3hMX33LDm5/zIu37yfAyU4U0khBkBb8XYclQfR6PTkjb0OjUajdkgh6+suJamLCRUarQ6zPUvtME6qsrKS9vb2wOPhhx/+zn0feughNBrNSR/FxcWDFuvDDz/MmDFj+PGPfzxo7zEQTveenu79HDduHK+88gq/+93vMJvN2O12cnJySE5ODorWKGmJEcOSt8tBzeerAMgeMRtzVILKEYU2Q6SNLmejJDFiQFmtVqxW62nte//995+ymHTEiBHY7XYaGhr6bfd6vbS0tGC32094nN1ux+1209bW1q81pr6+PnDMunXr2LNnD2+//TbQ29ILkJCQwH/8x3/wn//5n6d1HYPtdO/p6d5PgJtuuombbrqJ+vp6oqKi0Gg0/P73vw+8/m1996y+vp6UlJTA9vr6egoKCk7vQk6TJDFiWKr5fBW+HidRFjvp2RepHU7I66uLkeJeoZbExEQSExNPud/06dNpa2tj+/btTJo0CehNQPx+P4WFhSc8ZtKkSURERLB27VoWLFgAQElJCRUVFUyfPh2Ad955h+7u7sAxW7du5Sc/+Qmff/45I0eOPNfLG3Knez+/qa976M9//jNGo5G5c+eecL+cnBzsdjtr164NJC0dHR1s3ryZu+6665zi/jZJYsSw03m0mLaS7YCGUeMWoNXq1A4p5AW6k5zSEiOC25gxY5g/fz6LFy/mhRdewOPxcPfdd7Nw4cLAyKTq6mpmz57Nq6++ytSpU7HZbNxxxx0sXbqUuLg4rFYr99xzD9OnTw+MTPp2otLU1BR4v2/X0gw3f/zjH5kxYwYWi4U1a9bw85//nN/+9rf9rjs/P59ly5Zx7bXXotFouO+++3jyySfJy8sjJyeHRx99lNTUVK655poBjU2SGDGs+D0uqta9BUBa5gysMRmnOEKcjkhjDADu9mZ1AxHiNLz++uvcfffdzJ49G61Wy4IFC3j66acDr3s8HkpKSujq6gps+8Mf/hDY1+VyMW/ePJ577jk1wg86W7Zs4fHHH8fhcJCfn8+LL77ILbfc0m+fkpIS2tu//iXngQcewOl0cuedd9LW1saFF17I6tWrMRoHdvkSSWLEsNK063M8na1EGmPIybtM7XCGjShLbx93d5OszyOCX1xcHCtXrvzO17OzswM1LX2MRiPPPvsszz777Gm9x6xZs447x3D16quvnnKfb98LjUbDE088wRNPPDFYYQEyOkkMIz5XD407PgUgJ28eOr2s9TNQoqJ7kxivswNvd3jOAiuECD6SxIhho2n35/hc3ZijEklKOU/tcIYVvT4SoykekNYYIUTwkCRGDAs+VzdNOz8DIGvkHDQa+dEeaJZjrTE9jZLECCGCg3zSi2GhadeGY60wSSTaJ6gdzrBksfaO7JCWGCFEsAi5JMblclFQUIBGo2HXrl1qhyOCgLeni8ad6wHIzpVWmMESFd07aVVPU7XKkQghRK+Q+7R/4IEHTrgKqQhfTbvW43f3EGWxk5A8Xu1whi3LsSTG1dKA3+dVORohhAixJObDDz/k448/Zvny5WqHIoKEt8dJ084NAGSNnC2tMIMo0hiDXm9E8ftwtdSrHY4QQoROElNfX8/ixYt57bXXMJvNaocjgkTTjvX4PS6iolNISB6ndjjDmkajCXQpdTdKl5IQQn0hkcQoisKiRYv46U9/yuTJk0/7OJfLRUdHR7+HGD683Q6adn8OQLaMSBoS0bZ0ALrqjqociRBCqJzEnO5S4M888wydnZ0nXab9RJYtW4bNZgs8MjJkCvrhpHHHZ/g9LizRqcQnjVU7nLBgi8kCoKv2iMqRCCGEyssOnO5S4OvWraOoqIjIyP4zsE6ePJmbb76ZV1555YTHPvzwwyxdujTwvKOjQxKZYcLb5aD5qy8AyMqdg0ajUTmi8GA9lsT0NNfjc3WjizSpHJEQIpypmsSc7lLgTz/9NE8++WTgeU1NDfPmzePNN9/8zqXVASIjI49LfMTw0LjjU/weNxZrGvGJY9QOJ2wYIqMxmuLp6W6mq7ac6Gy590II9YTEApCZmZn9nlssFqB3afT09HQ1QhIq8nZ10vTVlwBk586VVpghZovNoqe7GWedJDFCCHVJJaQIOQ3bP0Xxuom2ZRCXMFrtcMJOX5dSV025uoEIIcJeSLTEfNuJllEX4cHj7KB5T28rTO8aSdIKM9QCxb31R1H8PjRancoRCSHClbTEiJDStPtzFK/nWCvMKLXDCUtmSxI6vRG/x013U63a4QghwpgkMSJk+L1uWvZuAiAz52JphVGJRqPFauutU+uW+WKEECqSJEaEjNbiHfh6nEQaY2REkspk0jshRDCQJEaEBEVRaNrVu0ZSWtYMqcNQmS02GwBH9WF1AxFChDVJYkRIcFQcxNVShzYikpS0qWqHE/ZsMVmg0eLpbMXd0aJ2OEKIMCVJjAgJTbvWA5CSMgl9hFHlaIROH0m0NQ0AZ3WZytEIIcKVJDEi6PU019F5tBjQkJY1U+1wxDG22BxAupSEEOqRJEYEvb5amPikMZjM8SpHI/rExI0AwFkjLTFCCHVIEiOCmrfbQWvxNgDSsy5UORrxTb2T3mlwtzXicXaoHY4QIgxJEiOCWvOeIhSfF4s1LdB9IYKDPsKEJToFAKd0KQkhVCBJjAhafq+X5q++AHpbYWRyu+Bji+tNLCWJEUKoQZIYEbTaDu3E29WJIdJKon2C2uGIE4jpK+6tkiRGCDH0JIkRQUlRFJp2fgZAWuZ0tNqQXKt02LPFjgA0uFrrpS5GCDHkJIkRQclRdYieplo0egMp6YVqhyO+Q4TBHKiLcVQdUjkaIUS4kSRGBKWmnV9PbhdhMKscjTiZmPhcAByVksQIIYaWJDEi6PS01NNZfgDQkC6T2wW9mLiRADiqSlWORAgRbiSJEUGnb4mB+KQxmKISVI5GnEpMbDZotXg6WnC1N6sdjhAijEgSI4KKt8tB64Fjk9tlf0/laMTp0OkjsVozAOlSEkIMLUliRFBp3ts7uV20NR1bTLba4YjTFNtXFyPFvUKIISRJjAgait9Py94iANKyZsrkdiGkry7GWXkIRVFUjkYIES4kiRFBo/PoATyONvQRZhKTx6sdjjgD1phMtNoIvN0OXC11aocjhAgTksSIoNG8ZyMA9rRJaHURKkcjzoRWq8cWmw1AZ8VBdYMRQoQNSWJEUHC3N9NZXgwgk9uFqEBdTKUkMUKIoSFJjAgKzXuLAIXY+DzMMqw6JMXG5wG96yj5vV6VoxFChANJYoTq/F4vLfs2A5CaIa0woSoq2k6EwYLiddNVV652OEKIMCBJjFBd++Hd+HqcGCKtxCeOUTsccZY0Gu3XXUpSFyOEGAKSxAjV9RX0pqRPRaPVqRyNOBd9SUxnZYnKkYhw1tLSws0334zVaiUmJoY77rgDh8Nx0mN6enpYsmQJ8fHxWCwWFixYQH19fb99tm7dyuzZs4mJiSE2NpZ58+axe/fuwbyUoPDrX/+aGTNmYDabiYmJOeE+FRUVXHHFFZjNZpKSkvj5z3+O9xTdytnZ2Wg0mn6P3/72t2cUmyQxQlXdTTV01RwBjZaU9KlqhyPOUV9dTHd9Fd4ep8rRiHB18803s2/fPtasWcP777/Phg0buPPOO096zM9+9jPee+893nrrLdavX09NTQ3XXXdd4HWHw8H8+fPJzMxk8+bNfPHFF0RHRzNv3jw8Hs9gX5Kq3G43119/PXfdddcJX/f5fFxxxRW43W42btzIK6+8wl/+8hcee+yxU577iSeeoLa2NvC45557zig2/RntLcQAaznWCpOQNJZIo1XlaMS5ijTaMEcl0eVswFFZSkzeeWqHJMLMgQMHWL16NVu3bmXy5MkAPPPMM1x++eUsX76c1NTU445pb2/npZdeYuXKlVx66aUAvPzyy4wZM4ZNmzYxbdo0iouLaWlp4YknniAjo3eZjccff5yJEydy9OhRcnNzh+4ih9h//ud/AvCXv/zlhK9//PHH7N+/n08++YTk5GQKCgr41a9+xYMPPsgvf/lLDAbDd547Ojoau91+1rFJS4xQjc/dQ2vxdgBSM6apHI0YKIFRStKlJFRQVFRETExMIIEBmDNnDlqtls2bN5/wmO3bt+PxeJgzZ05gW35+PpmZmRQV9c4iPnr0aOLj43nppZdwu910d3fz0ksvMWbMGLKzswf1moJdUVEREyZMIDk5ObBt3rx5dHR0sG/fvpMe+9vf/pb4+HjOP/98nnrqqVN2QX1bWLXE9E2H7nP3qByJAHA72rFk5OGpr8diTcPrlX+X4cAam0WToxR9lA2fS/5N1dT3WTfQS0F4FTf4z/F4oKOjo9/2yMhIIiMjzyU06urqSEpK6rdNr9cTFxdHXd2JZ5Ouq6vDYDAcV++RnJwcOCY6OprPPvuMa665hl/96lcA5OXl8dFHH6HXn9tX6bnez8A5GJx7eip1dXX9Ehgg8Py77jnAv//7v3PBBRcQFxfHxo0befjhh6mtreX3v//96b+5EkYqKysVQB7ykIc8wupRWVk5IJ+h3d3dit1uH5CYLBbLcdsef/zx73zvBx988JTnPHDggPLrX/9aGTVq1HHHJyYmKs8999wJz/36668rBoPhuO1TpkxRHnjgAUVRFKWrq0uZOnWqcuuttypbtmxRioqKlAULFijjxo1Turq6VL+fZ3pPT/d+ftPLL7+s2Gy24861ePFi5bLLLuu3zel0KoDywQcfnPb9eOmllxS9Xq/09PSc9jFh1RKTmppKZWUl0dHRQ764YEdHBxkZGVRWVmK1hl/tRzhffzhfO4T39at97Yqi0NnZecI6kLNhNBo5cuQIbrf7nM+lKMpxn8MnazG4//77WbRo0UnPOWLECOx2Ow0NDf22e71eWlpavrP2wm6343a7aWtr69caU19fHzhm5cqVlJeXU1RUhFarDWyLjY1l1apVLFy48KSxnchA3k84s3t6uvfzdNjtdrZs2dJvW9/IrjOpdyksLMTr9VJeXs7o0aNP65iwSmK0Wi3p6emqxmC1WsPug/ybwvn6w/naIbyvX81rt9lsA3o+o9GI0Wgc0HOejsTERBITE0+53/Tp02lra2P79u1MmjQJgHXr1uH3+yksPPFkmpMmTSIiIoK1a9eyYMECAEpKSqioqGD69OkAdHV1odVq+yUJfc/9/rPvCwr2+3k6pk+fzq9//WsaGhoCXXlr1qzBarUyduzY0z7Prl270Gq1x3UHnowU9gohhBg2xowZw/z581m8eDFbtmzhyy+/5O6772bhwoWBFqnq6mry8/MDrQc2m4077riDpUuX8umnn7J9+3Zuv/12pk+fzrRpvYMO5s6dS2trK0uWLOHAgQPs27eP22+/Hb1ezyWXXKLa9Q6FiooKdu3aRUVFBT6fj127drFr167A3DuXXXYZY8eO5ZZbbmH37t189NFHPPLIIyxZsiTQErRlyxby8/Oprq4GeouBV6xYwe7duykrK+P111/nZz/7GT/+8Y+JjY09/eBOu+NJnJP29nYFUNrb29UORRXhfP3hfO2KEt7XH87Xrqbm5mblxhtvVCwWi2K1WpXbb79d6ezsDLx+5MgRBVA+/fTTwLbu7m7l3/7t35TY2FjFbDYr1157rVJbW9vvvB9//LEyc+ZMxWazKbGxscqll16qFBUVDdVlqea22247Yc3MN+9feXm58v3vf18xmUxKQkKCcv/99ysejyfw+qeffqoAypEjRxRFUZTt27crhYWFis1mU4xGozJmzBjlN7/5zRnVwyiKomgUZYDL1sUJuVwuli1bxsMPPzzoleLBKJyvP5yvHcL7+sP52oUYCpLECCGEECIkSU2MEEIIIUKSJDFCCCGECEmSxAghhBAiJEkSI4QQQoiQJEmMylwuFwUFBWg0Gnbt2qV2OIOuvLycO+64g5ycHEwmEyNHjuTxxx8fsBkrg9Gzzz5LdnY2RqORwsLC42a2HI6WLVvGlClTiI6OJikpiWuuuYaSkvBdEPK3v/0tGo2G++67T+1QhBhWJIlR2QMPPDBgU4KHguLiYvx+Py+++CL79u3jD3/4Ay+88AK/+MUv1A5tULz55pssXbqUxx9/nB07dnDeeecxb96846ZFH27Wr1/PkiVL2LRpE2vWrMHj8XDZZZfhdDrVDm3Ibd26lRdffJGJEyeqHYoQw44MsVbRhx9+yNKlS3nnnXcYN24cO3fupKCgQO2whtxTTz3F888/T1lZmdqhDLjCwkKmTJnCH//4RwD8fj8ZGRncc889PPTQQypHN3QaGxtJSkpi/fr1XHTRRWqHM2QcDgcXXHABzz33HE8++SQFBQWsWLFC7bCEGDakJUYl9fX1LF68mNdeew2z2ax2OKpqb28nLi5O7TAGnNvtZvv27cyZMyewTavVMmfOHIqKilSMbOi1t7cDDMt/55NZsmQJV1xxRb+fASHEwAmrBSCDhaIoLFq0iJ/+9KdMnjyZ8vJytUNSTWlpKc888wzLly9XO5QB19TUhM/nIzk5ud/25ORkiouLVYpq6Pn9fu677z5mzpzJ+PHj1Q5nyLzxxhvs2LGDrVu3qh2KEMOWtMQMoIceegiNRnPSR3FxMc888wydnZ08/PDDaoc8YE732r+purqa+fPnc/3117N48WKVIheDbcmSJezdu5c33nhD7VCGTGVlJffeey+vv/66KisUCxEupCZmADU2NtLc3HzSfUaMGMGPfvQj3nvvvX5Luvt8PnQ6HTfffDOvvPLKYIc64E732g0GAwA1NTXMmjWLadOm8Ze//AWtdvjl0263G7PZzNtvv80111wT2H7bbbfR1tbGqlWr1AtuiNx9992sWrWKDRs2kJOTo3Y4Q+bdd9/l2muvRafTBbb5fD40Gg1arRaXy9XvNSHE2ZEkRgUVFRV0dHQEntfU1DBv3jzefvttCgsLSU9PVzG6wVddXc0ll1zCpEmT+Otf/zqsP8wLCwuZOnUqzzzzDNDbtZKZmcndd989rAt7FUXhnnvu4e9//zufffYZeXl5aoc0pDo7Ozl69Gi/bbfffjv5+fk8+OCDYdWtJsRgkpoYFWRmZvZ7brFYABg5cmRYJDCzZs0iKyuL5cuX09jYGHjNbrerGNngWLp0KbfddhuTJ09m6tSprFixAqfTye233652aINqyZIlrFy5klWrVhEdHU1dXR0ANpsNk8mkcnSDLzo6+rhEJSoqivj4eElghBhAksSIIbVmzRpKS0spLS09LmEbjo2CN9xwA42NjTz22GPU1dVRUFDA6tWrjyv2HW6ef/55AGbNmtVv+8svv8yiRYuGPiAhxLAk3UlCCCGECEnDr5pSCCGEEGFBkhghhBBChCRJYoQQQggRkiSJEUIIIURIkiRGCCGEECFJkhghhBBChCRJYoQQQggRkiSJEUIIIURIkiRGCCGEECFJkhghhBBChCRJYoQYJI2Njdjtdn7zm98Etm3cuBGDwcDatWtVjEwIIYYHWTtJiEH0wQcfcM0117Bx40ZGjx5NQUEBV199Nb///e/VDk0IIUKeJDFCDLIlS5bwySefMHnyZPbs2cPWrVuJjIxUOywhhAh5ksQIMci6u7sZP348lZWVbN++nQkTJqgdkhBCDAtSEyPEIDt8+DA1NTX4/X7Ky8vVDkcIIYYNaYkRYhC53W6mTp1KQUEBo0ePZsWKFezZs4ekpCS1QxNCiJAnSYwQg+jnP/85b7/9Nrt378ZisXDxxRdjs9l4//331Q5NCCFCnnQnCTFIPvvsM1asWMFrr72G1WpFq9Xy2muv8fnnn/P888+rHZ4QQoQ8aYkRQgghREiSlhghhBBChCRJYoQQQggRkiSJEUIIIURIkiRGCCGEECFJkhghhBBChCRJYoQQQggRkiSJEUIIIURIkiRGCCGEECFJkhghhBBChCRJYoQQQggRkiSJEUIIIURIkiRGCCGEECHp/wd6Hi9Y7ts3bgAAAABJRU5ErkJggg==", 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ml8uyLD/22GNyWlqarFAo2p1q/te//lUG5L/85S+dfk3am14uy7Ls9XrlP/3pT3JOTo6sVqvljIwMefHixa2m2ctycHr5xRdf3OnnmzFjhjx8+PA22zs6DyDfeeedofsOh0P2+/2dfr7jOZ1O+Z577pGTk5NlrVYrT5w4sdPT4vfs2SPPnj1bNplMcnx8vHzbbbfJ27dvbzP93efzyb/+9a/lhIQEWZKkLk0174mVkWVZlouLi+WrrrpKtlgssslkkufOndvuqsaAPGPGjND9lp/djm4//fkUBKH3iFpXwhnpueee4+6776awsLDN7C9BEASh/xCJjnDGkWWZ0aNHExcXx6pVq8IdjiAIgtCDxBgd4Yxht9tZtmwZq1atYufOnXz88cfhDkkQBEHoYaJFRzhjFBYWkpOTQ3R0NL/61a94/PHHwx2SIAiC0MPE/EfhjJGdnY0sy9TX14skRxAEILgswCWXXEJqaiqSJPHRRx+1etxms3HXXXeRnp6OXq9n2LBhvPzyy+EJNkK8+OKLZGdno9PpmDx5Mhs2bAhrPCLREQRBEM5Ydrud0aNHd7jA46JFi/jyyy9566232Lt3L7/73e+46667WLZsWS9HGhneffddFi1axMMPP8yWLVsYPXo0+fn5VFVVhS0m0XUlCIIgCARX6166dCnz5s0LbRsxYgTXXHNNqxp+48ePZ86cOfz5z38OQ5R92+TJk5k4cSIvvPACECwPlJGRwa9//Wvuv//+sMQkBiN3g0AgQFlZGWazuceWtRcEQegrZFmmqamJ1NTUblsB2uVy4fF4Tvs8siy3eR/WarWnXAh42rRpLFu2jFtuuYXU1FRWr17NgQMHeOaZZ0471p7UXa8ndP419Xg8bN68mcWLF4e2KRQKZs+ezdq1a7slllMhEp1uUFZWdsJl8QVBEPqj4uJi0tPTT/s8LpeLzCwj1VWnX/TVZDJhs9labXv44Yd55JFHTul8zz//PL/4xS9IT09HpVKhUCh45ZVXmD59+mnH2lNcLheZmUaqq7uniG5nX9Oamhr8fj9JSUmtticlJbFv375uieVUiESnG7QU+xt4+0MotbqT7C0IQnfwuewc+eczBFwO0kfPIWnQWeEOqXfIMts/eRKf20bmVb/AkJrd6yH43S4O/v3RThU67QyPx0N1VYA1GxIxmU69Vdxmk5k+qYri4uJWBWlPtTUHgonOunXrWLZsGVlZWaxZs4Y777yT1NTUbi9g3F08Hg/V1QFWrz+91xOCr+nMyd37mvY2keh0g5YmPaVWJxIdQeglSq2O5BlzKVv+H8r2fkNC7kQ0esvJD4xwbns9PrcNFAqM6bko1JqwxdLdXfUmk4TJfDpdYcEWDIvF0upD+VQ5nU4eeOABli5dGirQO2rUKLZt28Z///d/99lEp8Xpv57Qldc0Pj4epVJJZWVlq+2VlZUkJyefZhynTsy6EgQhYkWPnIQ+JZOAx03R1k/DHU6vsNUcBUCXkBrWJOdM4PV68Xq9bcYhKZVKAoHu6RbqTzQaDePHj2flypWhbYFAgJUrVzJ16tSwxSVadARBiFiSpCBl9pUcefNZagu3kDhgMpakAeEOq0e1JDrh6LLqj2w2G4cOHQrdLygoYNu2bcTGxpKZmcmMGTO499570ev1ZGVl8e233/LPf/6Tp59+OoxR912LFi1i4cKFTJgwgUmTJvHss89it9u5+eabwxaTSHQEQYho+uQMYkZPpX77jxRuWsqIOXejUCjDHVaPaWpOdPSpWWGOpH/YtGkTs2bNCt1ftGgRAAsXLuT111/nnXfeYfHixVx33XXU1dWRlZXF448/zi9/+ctwhdynXXPNNVRXV/PQQw9RUVHBmDFj+PLLL9sMUO5NItERBCHiJZ4zh8YD23E2VFB54AdShvTdGTGnI+D34qgvBUSLTneZOXMmJ1pOLjk5mSVLlvRiRJHvrrvu4q677gp3GCFijI4gCBFPpTeSND04WLRk13I8zsYwR9Qz7HUlyAE/KoMZdVRsuMMRhIggEh1BEPqF4wcmF2788IR/pUeqpupCINhtJRYnFYTOEYmOIAj9giQpSL1gPpJCSX3JLpqqC8IdUrez15UAYnyOIHSFSHQEQeg3dIlpRA0bB0Bt4dYwR9P93LZaALSx4RvYKQiRRiQ6giD0K1FDg4lOXfF2AgF/mKPpXm57PQBqS0yYIxGEyCESHUEQ+hVjZh5Kgwmf20FjxYFwh9Nt/D4PPrcdAE2USHQEobNEoiMIQr8iKZREDR4DQE0/6r7y2K0AKDRaFFp9eIMRhAgiEh1BEPqdqKFjAagv3Y3f5wlzNN3j+G4rMeNKEDpPJDqCIPQ7+tRs1FGxBLxurGV7wx1Ot/A4WhIdsX6OIHSFSHQEQeh3JEkiasgYoP/MvhIDkQXh1IhERxCEfilqSHD2lbV8Lz6PM8zRnD63rQ4AjUh0BKFLRKIjCEK/pE1IQRuXhOz3U1+yK9zhnDZ3S9eVKP0gCF0iEh1BEPolSZIwZg8GwGGtCHM0p69larnKaApzJIIQWUSiIwhCv6XUGQDwe11hjuT0BZpnjynU2jBHIgiRRSQ6giD0W0qtDgC/1x3mSE5fwOcFQKHWhDkSQYgsItERBKHfUmhaEp3Ib9FpWQ9IUqnDHIkgRBaR6AiC0G+FWnR8kZ3oyIEAcsAHiBYdQegqkegIgtBvhVp0PJGd6AT8x1Z3FomOIHSNSHQEQei3FNrgwN1I77pqGZ8DoutKELpKJDqCIPRbyubil5E+GNnf3KIjqTWizpUgdJFIdARB6LdCXVc+F7IshzmaU3dsarnothKErhKJjiAI/ZakVAa/keXQYN5IFJpaLrqtBKHLRKIjCEK/5amrBkCtt6BQRm6SEGhO0iSlKsyRCELkEYmOIAj9lqu6DABDdEqYIzk9csAPHNdCJQhCp4lERxCEfstVXQ70h0RHtOgIwqkSvzVCr5PlAAGvF9nrIeD1EPAFv5cDAZAApOb/JGiZYSJJSAolCrUGSaVGodagUKuRFOIvXKFj7lCLTmqYIzk9gZYWHfHzLghdFnGJzosvvshTTz1FRUUFo0eP5vnnn2fSpEkd7v/ee+/x4IMPUlhYyMCBA3nyySe56KKL2t33l7/8JX//+9955pln+N3vftdDV9D/yLKM32HDa2vAZ2/EZ2vEZ2/CZ2/Ee9z3AY+bgNeN7Ou+QaGSQonUnPQo1FqUOj1KneG423H39QaUBhMqowWVwYxC1bs//rWb12AvOogmOoHo4RPQJUb2h29fJ8syrprmFp2YSG/REV1XgnCqIirReffdd1m0aBEvv/wykydP5tlnnyU/P5/9+/eTmJjYZv8ff/yRBQsW8MQTTzB37lzefvtt5s2bx5YtWxgxYkSrfZcuXcq6detITRUfPh2RZRlfkxV3bSWu2krctRV4aqtw11bgdzlP6ZwKpRqFSoNC2dw6I8uAjBx8wpZnRpaDzfcBv7d5BkrwMTngR3Y7Cbi7/vwKrQ6VwYzKeNzNFIXaHB26qUxRp50QBTxuajZ8Q9ORvUQPG4+zopjK7z8n/aKfhaprC93P22Ql4HYhKZTozAnhDue0yP6WRCei3rIFoU+IqN+ap59+mttuu42bb74ZgJdffpnPPvuM1157jfvvv7/N/s899xwXXngh9957LwCPPfYYK1as4IUXXuDll18O7VdaWsqvf/1rli9fzsUXX9w7FxMBvLZGHKUFOEqP4Cw7iru2koCno4XXJNQ6E2q9BY3ejFpnQa03N9+3oNaZUWp0KFUaFEpNc3KjQpK6PkxMbp4qHPB58fs8BPye5u9d+DxO/G4HPo8Tnyf41d/yvduO12XD62pCDvgJuF143C489dUnfD6lwXQs+YmKRRMdhyYqLvh9VOxJ1zZxVZXRsH87SdPnYhk4Ap+9ieJlb1C37UcSpszu8vULndPSbaW3JKKI8ARBjNERhFMXMb81Ho+HzZs3s3jx4tA2hULB7NmzWbt2bbvHrF27lkWLFrXalp+fz0cffRS6HwgEuOGGG7j33nsZPnx4p2Jxu9243cc+8BsbG7twJX2TLMt46quDiU3JERwlBXisNW32kyQFWnM8+qgkDFFJ6C1J6KOS0FkSem36riRJSEo1CqUalbbrLSKyLOP3uvA6m/C6jrs5m/A4GvA4rbjtwa+y34ffYcPvsOGqLGn3fCqjBU10HOqoOPTJ6cSNn97qcUdZIQqVGsvAEc37m9GnZOIoLej6xQud1jIQWR/hA5Hh+OnloutKELoqYhKdmpoa/H4/SUlJrbYnJSWxb9++do+pqKhod/+KiorQ/SeffBKVSsVvfvObTsfyxBNP8Kc//akL0fc9sizjrq3EXnQQe9EhHKUF+B22n+wlYYhOwZyQjTkhB0NMKlpzPIoIHxApSRIqjR6VRo8+qm2XZwtZlvG5HXic1mACZK/Hba/DZavDbavDbavF73UFxyXZG6G0AG9TfZtEx11biSYmPnjOQABJoSDg8SApxKTHnuSqKgUif8YViDE6PWnNmjU89dRTbN68mfLycpYuXcq8efNCj99000288cYbrY7Jz8/nyy+/7OVIhVMVMYlOT9i8eTPPPfccW7Zs6VL9mMWLF7dqKWpsbCQjI6MnQuw2sizjsdZgLzqEveggjqLD+BxNrfaRlCpMsRmYE3IwJ+Zgis9GpdGHKeLwkyQJtc6IWmfEGJPW5nFZlvF7nLhstbhttbhstWj0FkylAQBsacFExue0obHEtDrWZ29EZTC32lazYRUKjRZNTALa2ARUpihR1+gU+Zx2mg7vAcCckBPmaE5fS/V1hUYb5kj6H7vdzujRo7nlllu44oor2t3nwgsvZMmSJaH7Wq34d4gkEZPoxMfHo1QqqaysbLW9srKS5OTkdo9JTk4+4f7fffcdVVVVZGZmhh73+/38/ve/59lnn6WwsLDd82q12oj4QQ/4fdiLDtJ4YAe2I/vw2RpaPS4pVZgTcrAk5WFJHIAxNj3ixzL0JkmSUGkNmLQGTHFtE92WhEftltA4VRhLfEiSgoDfg7+mFuP4gaF9ZVmm+sevCBxXfFKh1qCJSUATm4A2JjH4NS4JbWyiqHl0Etad65F9XgzRqZjis8IdzmnzuIJ/lKiMljBH0v/MmTOHOXPmnHAfrVbb4eeM0PdFzKeaRqNh/PjxrFy5MtSsGAgEWLlyJXfddVe7x0ydOpWVK1e2miq+YsUKpk6dCsANN9zA7NmtB4Pm5+dzww03hAY8R5qA14OtYB+NB3fSdHg3Abcr9JikVGKKy8KSOABLch6muCyR2PSCqORBVB3egMdhRWuMperwekAiXp2NsTkZCvh9JOZOwtVUg6upGpetjoDXg6uqNNQFEyJJaGIS0CWkoEtIRZuQgi4+BXVUzCkN7u5v5ECAuq0/AJA0+Ox+0SrmbUl0ftIKKLTvp+MmT/eP09WrV5OYmEhMTAznnnsuf/7zn4mLizvdMIVeElGfcosWLWLhwoVMmDCBSZMm8eyzz2K320NJyY033khaWhpPPPEEAL/97W+ZMWMGf/vb37j44ot555132LRpE//4xz8AiIuLa/PDqlarSU5OZvDgwb17cafB73bRdHg3TQd30lSwD9nrCT2m1pmJyRhBTNoIzIk5KFWiJaC3JeZNxV5XysHv/onGGIPbVkfykHPQRx/7C1GhVJE1/rLQ/UDAH+wOa6zG1VSNs+VrQ0Vw3FBdFZ66Khr3bz92Do0WXUIquuQMDClZ6FMyUUfF9osP+q5oOrwbb2M9Kq2B+Kyx4Q6nW3idwURHbezfic5X9iHopFP/WHLZfUBlm6EEDz/8MI888sgpnfPCCy/kiiuuICcnh8OHD/PAAw8wZ84c1q5di1KMmYoIEZXoXHPNNVRXV/PQQw9RUVHBmDFj+PLLL0MDjouKilAcN8Bz2rRpvP322/zxj3/kgQceYODAgXz00Udt1tCJRLIs4yg5TP3ODTTu347cXN0YQGOMITZ9JLGZIzHFZYlBr2EmKRRkjJlDU1UBLlstiQMmEZ069ITHKBRK9JZE9JbWg6VlWcbrasJhLcdpLcdRX46joRxnQ3Dqf3A5gALqmvdXGkzokzPRpxxLfvr72j11W74DIGHAlH5T7dsruq66pLi4GIvl2Gt1Oq051157bej7kSNHMmrUKAYMGMDq1as577zzTivOM112djZHjx5tte2JJ55od7mY0xFRiQ7AXXfd1WFX1erVq9tsmz9/PvPnz+/0+Tsal9NXeJusWHdtxLprAx5rbWi7zhxPbMYoYjNHYYhJO+P+iu/r1DozsZmjQvdlWT6lfyNJktA0r00UnXKs1TEQ8ONqrMZRX4qtthhb7VEc1jL8Dhu2I3uwHdkT2lebkIIxMw9j5kCM6QNQ6vrPgHNXdTn2okMgKUgaODXc4XSblkRHaTSFOZLIYLFYWiU63Sk3N5f4+HgOHTokEp1u8Oijj3LbbbeF7pvN3d9qGXGJzpko4PPRdHg31p3rsRXuD60YrFBricscQ0LuREzxWSK5iSDd/W+lUCgxRCdjiE4mPmc8EBz3cyzxKcJWU4TbVoO7uhx3dTl1m78DSUKXmBZMejLzMKTnoNToujW23lS7aTUAsekj0BpjTrxzhPB73QR8we5o0aITfiUlJdTW1pKSEvnLFvQFZrO5xwd6i0SnD3PVVGDduR7r7k34nfbQdnNiLgm5E4nNHIVS1fdnfwnhoVCqMMVntZp15HU10Vh5OHirOhQcA1RZgquyhNqNq0ChwJCShTF7MKbsweiTMyKm69NdV4V19yYAUobOCHM03aelNUeh1qAU08u7nc1m49ChQ6H7BQUFbNu2jdjYWGJjY/nTn/7ElVdeSXJyMocPH+YPf/gDeXl55OfnhzHq3tfdA7xb/Nd//RePPfYYmZmZ/OxnP+Puu+9G1c11CEWi08cEvB4a9m+jfvs6nGWFoe1qvYWE3Ikk5ExAZ4nsuj1C+Kh1ZuKyxhCXNQYAj6OhOfE5RGPlIdz2utA4n+ofvkSp02PMHIQxexCmrEFoovvmTBNZlqn67guQZaLThveLKeUtjo3P6d8DkcNl06ZNzJo1K3S/ZY20hQsX8tJLL7Fjxw7eeOMNrFYrqampXHDBBTz22GMRscTIR02j0cmnN07NZfMCX3XrAO8Wv/nNbxg3bhyxsbH8+OOPLF68mPLycp5++unTOu9PiUSnj3BVl1O/fS3WPZuOTQmXFMSkDSVhwGSiUwYHi14KQjfSGKKIzxlHfM44AFy2WhorDmIt309jxUH8LieNB7bTeCA4u0sdFYcxKw9jRh7GjAGozdFhjD5IDvgp//rD5hglMkb1r7+0XU3BUiwqU1SYI+mfZs6ciRwqINzW8uXLezGavquzA7zvv/9+nnzyyROea+/evQwZMqTVwrujRo1Co9Fw++2388QTT3RrIikSnTAKeNw07N9O/Y7WrTdaYywJeZNJyJ2IRi/65IXeozPFocuLIzFvCnLAj62uhIbmpKep9ijehlqsO2qx7lgPgCYmAWPGAAwZAzBm5qHu5Q9jv9tFybI3gmPXkMgafxmGmNRejaGnWcuCJW4MGQPCHIlwJuvsAO/f//733HTTTSfcJzc3t93tkydPxufzUVhY2K1LvIhEp5fJsoyropj6Heto2Lf1WDVwSUFM+nAS86YQlTxQLPwmhJ2kUGKOz8IcnwUjL8DvddFYdYSmquAYH3t9KZ76ajz11dTvWAf8JPHp4RYfT0MdRR/+H+6aCiS1hrypPyM2PfKXjjheIOCnoXw/AObcYWGORhBOLiEhgYSEUxtesW3bNhQKBYmJHdcgPBUi0eklPqedhr1bqN+xDndzVWUArSmOhAGTROuN0Ocp1Tpi0oYRkxb8wPV5nDRVF9BYeZimqsPY69pPfAwZud3e1eUsL6Low1fxOZpQ6y0MnnELxtj0bjl3X9JUXYDf6wquh5TSt+vpCUJXrF27lvXr1zNr1izMZjNr167l7rvv5vrrrycmpntnTIpEpwfJcgB70WGsO9fTeGAHst8HBGtMxWaMInHAJMyJuaL1RohIKo2+beJTdYTGqsM0VR1p1eIT6uqKjseQloM2MTW4inNiKiq9sUvP23hgByWf/au5llUKg2bcitYY3d2X1ydYS5sLk+YOFe8TQr+i1Wp55513eOSRR3C73eTk5HD33Xe3GrfTXUSi0wNaFvWr37keb0NdaLshOoWEAZOJzxmHStO/V6cVzjwqjZ6Y9OHEpA8H2mnxqS/FY63BY62B3ccdZ4pCd3ziY4rC73LgdzrwO+3N3we/+px2HMVHAJmolCEMPPt6lOrIXffnZKylewHRbSX0P+PGjWPdunW98lwi0elGjQd30rhva6tF/ZRqHXFZY0gYMAljbIZY1E84Y7Tb4lNdgL2uBEd9GQ5rOW5bLT5bAzZbA7Yjezt97sSB08gef1m/nonYUt9MUigxZkdO7T1B6GtEotONyr74d+j74KJ+k5oX9ROFNAXhp4kPgM/raq7ZFUx87PVl+NwOVFo9Ko0RldaASmMIftUaUWsMaM1xZ8QfDdayYOJnSM9Fqe2/rVaC0NNEotONVDozibkTScidKBb1E4ROUKl1mBNyMCfkhDuUPic0PmeA6LYShNMhEp1uNPrie1BpuzawUhAE4ac8jgYaq48AYBKJjiCcFjGMvzv14/ECgiD0DlkOcHjduxAIoE/JRBsjWocF4XSIREcQBKEPqdj3HY0VB5BUatLmLAh3OIIQ8USiIwiC0EfUHt1G0dZPAUiacQnauKQwRyQIkU8kOoIgCH2AtWw/h9f+G5CJGT2V2LFnhTskQegXRKIjCIIQZk3VhRz44Q3kgB/LkDGkzL6y30+fF4TeIhIdQRCEMHLUl7FvzavIXg+mnCGkXfQzJIV4axaE7iJ+mwRBEMLE1VTDvlWvEHA70admk3HpQhRKseqHIHQnkegIgiCEgcfRwL5v/oHX1YQ2IYWsK3+OQqMNd1iC0O+IPx0EQRB6mauphgNrluC216GJjiPrqttR6kShX0HoCSLREQRB6AUBv4+G8v3UHt1GbdF2kAOoTBay5v8StckS7vAEod8SiY4gCEIPCfh9NFQcoK5oO/Ulu/F7XaHHTLlDST53HprouDBGKAj9n0h0BEEQulHA76Ox8iC1RdupL97VKrlRmaKwDB5N9NBx6FMywxilIJw5RKIjCIJwCuRAALetFkdDJc6GCpwNFTgaKnE1ViEH/KH9VEYLlsGjiBo8Fn1aFpIk5oAIQm8SiY4gCMJPyHIAn9uB19WEx9mI19mE19XU/LURZ2M1zsZKZL+v3eNVBjOWwaOwDB6DIS1HrIsjCGEkEh1BEM5ociCAw1pOU3UBTdWF2GuP4nY0gBw46bGSSoU2NgltfAra+CR08clo45JRR8WIlhtB6CNEoiMIwhnF73Vjqy0KJTa2mqMEfO5291UaTKgMZlRGMyqjpfmrGU10HNr4ZDRRcaK1RhD6OJHoCIJwxqg6vJ7CTUvbdDkpNDoMadkY0nIwpGWjiUlAZTAjKZVhilQQhO4iEh1BEM4IFfu+4+iWjwFQm6MxpOdgSMvFkJaDNj5ZtMwIQj8lEh1BEPq96oLNoSQnbuIskmbMFdXBBeEMIRIdQRD6NbfDSuHmpQDETz6XxHMuFkmOIJxBRFutIAj9lizLFKx/j4DHhT4li8SzLxJJjiCcYUSiIwhCv1V9eAMN5fuRVCrSLlogxuEIbaxZs4ZLLrmE1NRUJEnio48+Cj3m9Xq57777GDlyJEajkdTUVG688UbKysrCF7DQZeK3XhCEfsltr+PotmUAJJ5zMdrYxDBHJPRFdrud0aNH8+KLL7Z5zOFwsGXLFh588EG2bNnChx9+yP79+7n00kvDEKlwqsQYHUHoYXLAj8fRgNteT8DvAaTgTQKp+Wvz/1Bp9GhNcag0+jBGHPlkWebIuvcIeNwY0nKIG3dOuEMS+qg5c+YwZ86cdh+LiopixYoVrba98MILTJo0iaKiIjIzRb2ySCASHUHoBgG/D1vtUVyNNbjt9bjtdXjs9bjt9XicDSDLXTqfSmtEa4pDZ45HZ4pD2/xVH5WISmPooavoP6oOraWx8iCSSk3qnGtFl9UZprGxsdV9rVaLVqvtlnM3NDQgSRLR0dHdcj6h54lERxBOkctWS0PZPqzl+2msPETA5+lwX0mpRG2OQaHVHUt6ZBlZloFj931OO36HDZ/bjs9tx15b9JMTSVgSc4nNHE1s+kjUenPPXFwEc9lqKdr2KQBJM+aijUkIc0RCZ31bOwi1S3PKx3vtHuBbMjIyWm1/+OGHeeSRR04vOMDlcnHfffexYMECLBbLaZ9P6B0i0RGETvL7PDRVHsZavp+G8n24mmpaPa4ymNElpaG2xKKOikHT/FVtiUVlNHW69pHf48JTX4vXWoPbWoPXWovHWoOnvgZvk5XGysM0Vh6mcNNSkfT8hCwHOLLuPwS8HgwZA4gde1a4QxLCoLi4uFUi0h2tOV6vl6uvvhpZlnnppZdO+3xC7xGJjiB0QJZlXE3VNFUX0lhxkLrSnci+40oHKBQY0nIw5QzBlD0EXWJKtxRyVGp06JPS0CeltXnMY62lcf92Gg5sx1VR3CrpMSfkEpU8kKiUwRhj087IopLVhzfSVHUYhVpD2oXXnpGvgQAWi6VbW1xakpyjR4/yzTffiNacCCMSHUFoFvD7sNeV0FRdgK2mkKbqQnxue6t91JYYTNmDMeUMwZg1EKW2dwcNa6LjiJ98LvGTzw0mPQe207h/O86KYpqqDtNUdZiSHV+i1luITh1KdNpQopIHolR1z/iEvq6h4iAAsRNmoImOC3M0Qn/QkuQcPHiQVatWERcnfq4ijUh0hDOaHPDTUH6A6oKN1JfuaVPsUVKq0KdkYkjLxpw3En1KZp9ZcE4THUf8pHOJn3QunoY6mg7twl58GHvhAbzORqoPr6f68HokpQpL4gCi04YRkzYUrTE23KH3GIUiWIRTqTkzEjvh9NlsNg4dOhS6X1BQwLZt24iNjSUlJYWrrrqKLVu28Omnn+L3+6moqAAgNjYWjebUxxMJvUckOsIZydFQQc2RTdQUbMbragptV+qNzRWsgzddUjoKVd//NdFExRI3fjpx46cT8PlwlBym6fAemg7vxttQR0P5fhrK93N001IS86aQOfYSlOr+lwwoVGoAAj7fSfYUhKBNmzYxa9as0P1FixYBsHDhQh555BGWLQuuxTRmzJhWx61atYqZM2f2VpjCaej77+CC0E18Hge1R7dRfWQj9tri0Hal3kjU0HFEj5iILjGtz7TYnCqFShXsXsseTPK583DXVmI7vIemI3twlByh6tA6GioOMmDKtZgTc8IdbrdSKIOJjuzzhjkSIVLMnDmzefZj+070mHB6Hn/8cT777DO2bduGRqPBarW22aeoqIg77riDVatWYTKZWLhwIU888QSqLvwBKhIdod/zeRyU7FhO1eF1yH5/cKNCgTl3GNEjJmLKHYpC2T9/FSRJQhefjC4+mfjJ52I7epCyL9/B3VjLnq//l5ShM0gflR9KECKd1PzvGBCJjiD0eR6Ph/nz5zN16lReffXVNo/7/X4uvvhikpOT+fHHHykvL+fGG29ErVbzl7/8pdPP0z/f3QWB4FTj6iMbKd72eWhQsTYhhZgRk4gaOg6V8cybjm3KGsiAm+6h4puPsO7aSPne1VjL9jJg6s8wxrad5RVpjrXoiK4rQejr/vSnPwHw+uuvt/v4V199xZ49e/j6669JSkpizJgxPPbYY9x333088sgjnR4jJeZeCv2SrbaY3V89T8H69/C57Wjjksi6+pfk3XQvcRNmnJFJTgulVk/anAVkzLsFpcGEs6GSXV89R+mur5ED/nCHd1paWuZE15UgRL61a9cycuRIkpKSQtvy8/NpbGxk9+7dnT6PaNER+hWvy07Jji+oOrQekFFotCRMyydu3DlISmW4w+tTLANHYEjLpuyr92g6uJOSHV9SX7qbvGnXoTPHhzu8U9LSohPwi0RHELpTT5bV6EhFRUWrJAcI3W+Z/dYZItER+gU5EKDq8DqKd36J3+UAIGrYeJJmXILaJBb36ojKYCLjspto2LOZ8pUfYq8tZtfKFxg64xcYY1LDHV6XicHIgnDMqspBqGynl4z47G7gq06X1bj//vt58sknT3jOvXv3MmTIkNOKqytEoiNENFmWsZbtpXj7Fzit5QBo41NIOf9KjOm5YY4uMkiSRPTwCRgzBlC09DVcVaXsXfUyoy+6D7XOGO7wukRqTnT8bleYIxGE/qWzZTV+//vfc9NNN53wXLm5nXtvTk5OZsOGDa22VVZWhh7rLJHoCBGrqbqA4m2f01RdAIBCqyPxrAuJHXsWkkJ0U3WV2hJD9jW/ouDfz+OuqaB837dkjrko3GF1SUsrlKO0AK+tUbTmCUI36WxZjYSEBBISuqeQ7tSpU3n88cepqqoiMTERgBUrVmCxWBg2bFinzyMSHSHiOKzlFG//AmvpHgAklYrYcecQP+lcVPrIaoHoa5Q6PYlnX0TxR69RefB7UoZMR60zhTusTjNEp2BKyMZWXUj99rUknpUf7pAEQehAUVERdXV1FBUV4ff72bZtGwB5eXmYTCYuuOAChg0bxg033MBf//pXKioq+OMf/8idd97ZpfFBItERIobbVkfJzuXUFGwBZJAUxIycRMK0C1Cbo8MdXr9hzhuOLikdV2UJ5XtXkzl2brhD6pKkgWeFEp2EKbPFIHRB6KMeeugh3njjjdD9sWPHAsdWnVYqlXz66afccccdTJ06FaPRyMKFC3n00Ue79Dwi0RH6vIDPS8nO5VQc+C604J9l0GgSz5mDNjYxzNH1P5IkkTgtn6Klr1Jx6EdShs6MqFad2IyRFOnMeO2NNB7aRdTg0eEOSRCEdrz++usdrqHTIisri88///y0nkesoyP0abbaInZ++Qzle1cj+/0YMweSe/3vyLhsoUhyepBpwDB0yRnIXg/le1eHO5wuUShVJAyYDEDd1u/DHI0gCOEmEh2hTwoE/JTsWM7ur17A1ViFymgh84pbyb7mDvQpmeEOr99radUBqDj0Y6vCp5EgceAUkBQ4ig/jqun8ehuCIPQ/ItER+hyHtYLdy/+H0l0rQA5gGTKWATffi3nA8HCHdkYx5Q5F39yqU7ZndbjD6RKtIZqY9ODPS93WH8IcjSAI4SQSHaHPkAMByveuZtfyZ3HUl6LUGUi/5EYyLrlBzKYKA0mSSGietVR56Ec8zsaTHNG3JA2cBkDD7k1iXR1BOIOJREfoE9wOK3u/eZmirZ8i+32Ycocy4OY/EDVkTLhDO6OZcoaiT8lE9nkjbqyOJSkPnSWRgNeNdfemcIcjCEKYiERHCCtZlqkp2MzO5c/QVHUEhVpLygXzybzi52Kxtz5AkiRiRgdbRpqqjoQ5mq6RJCnUqlO7cRUBUdFcEM5IYnq5EDauxmoKNn5IY+VBAHSJaWRcuhBNTGQWlOyv3HXBJdcN0ZFX+yphwCTK9nyDt7Ge+u0/Ejd+erhDEgShl4lER+h1Ab+P8r2rKd39NbLfh6RSkTD1AuImzkShFD+SfY2j+DAA5sTIqx2mVGlIH3kBBRvep3rd10SPnIRSowt3WIIg9KKI67p68cUXyc7ORqfTMXny5DYFv37qvffeY8iQIeh0OkaOHNlq4SGv18t9993HyJEjMRqNpKamcuONN1JWVtbTl3HGaqoqYNeXz1Cy40tkvw9j1iDybvoDCVNmiySnD/J73DgrSgCwJEVeogMQnzsRnTkev8NG7aZvwx2OIAi9LKISnXfffZdFixbx8MMPs2XLFkaPHk1+fj5VVVXt7v/jjz+yYMECbr31VrZu3cq8efOYN28eu3btAsDhcLBlyxYefPBBtmzZwocffsj+/fu59NJLe/Oyzgg+j4Mj699jz9cv4myoRGkwkXbxdWTNv110VfVhztJCkANojTFojbHhDueUKBRK0kddCEDtxtX4HLYwRyQIQm+KqETn6aef5rbbbuPmm29m2LBhvPzyyxgMBl577bV293/uuee48MILuffeexk6dCiPPfYY48aN44UXXgAgKiqKFStWcPXVVzN48GCmTJnCCy+8wObNmykqKurNS+u3ZDlA9eENbP/0r1QfXg9A9KjJ5N1yH9HDxiNJUpgjFE7EXtLSbTUgzJGcntjMURhi0gh43NSsWxnucARB6EURk+h4PB42b97M7NmzQ9sUCgWzZ89m7dq17R6zdu3aVvsD5Ofnd7g/QENDA5IkER0d3eE+brebxsbGVjehLVvNUXZ/9TxH1v8Hn8uGJjaR7GvvJC3/GrEuToRoGZ9jicDxOceTJAUZYy4CoG7b93ga68MckSAIvSViEp2amhr8fj9JSUmtticlJVFR0f4S7xUVFV3a3+Vycd9997FgwQIslo6nNj/xxBNERUWFbhkZGV28mv7N42zk8Lp32P3V89hri1GotSTNuIQBN92DMSOyWwbOJAGvB2d5sGXTnBT5/25RyYOwJA1A9vupWfd1uMMRBKGXREyi09O8Xi9XX301sizz0ksvnXDfxYsX09DQELoVFxf3UpR9W8tsqu2fPUnNkeACbdHDJ5L388XET5olBhtHGEdZIXLAj8YQFbHjc44nSRJpI84HwLpnM363M8wRCYLQGyLmkyc+Ph6lUkllZWWr7ZWVlSQnJ7d7THJycqf2b0lyjh49yjfffHPC1hwArVaLVqs9havov5wNVRz68V846ksB0CVnkHLe5RhSs8MbmHBKHOVHqVz9CRAcn9NfxlKZEwegj0rC2VBJ/fZ1xE+aFe6QBEHoYRHToqPRaBg/fjwrVx4bSBgIBFi5ciVTp05t95ipU6e22h9gxYoVrfZvSXIOHjzI119/TVxcXM9cQD/ldTVRtPVTdi5/JlSfKvXCa8i9/rciyYlAXlsjpV+8Q8Fbz+GqKkWh0ZI86Oxwh9VtJEkiecgMAGo2fCNadQThDBAxLToAixYtYuHChUyYMIFJkybx7LPPYrfbufnmmwG48cYbSUtL44knngDgt7/9LTNmzOBvf/sbF198Me+88w6bNm3iH//4BxBMcq666iq2bNnCp59+it/vD43fiY2NRaPRhOdCI4DH2Uj53tVUHlqL7PMCYMwaRNpFC1CbosIcndAVsizjLD+KddcmGvZuJuBxAxCfM4GMMReh0fevUhwJOeMp37saV2MVNRtXk3T2nHCHJAhCD4qoROeaa66hurqahx56iIqKCsaMGcOXX34ZGnBcVFSEQnGskWratGm8/fbb/PGPf+SBBx5g4MCBfPTRR4wYMQKA0tJSli1bBsCYMWNaPdeqVauYOXNmr1xXXyHL8km7KDyOBsr2rKLqyDrk5tpB+uQMEqblY8od2m+6OM4EnoY6GvZsxrp7E5766tB2Y2w6WePnYU7IDl9wPUhSKMkYPYeD371B7aZviR1zlqirJgj9WEQlOgB33XUXd911V7uPrV69us22+fPnM3/+/Hb3z87ORpbl7gwvYnkcDWgMHbfEuB1Wynd/Q9WRDcj+5gQnJYuEsy7AlD1EJDgRwu920XhgO9bdm0JTxwEktYa4tJHE54zHkpyHJEVMr/YpiUkfgSkuC1vtUarXriD1/CvDHZIgCD0k4hIdoXvIsowsB6g6uJay3StR6UxYEgeQkDsRY2xaaD+vq4ni7V9SU7gJ2e8HwJCWQ8K0CzBmDRIJTh8nyzKe+mpsBfuwFe7HXnQw1BIHEpakPOJzxhObMRKl+swZYC9JEhljLmLvypeo37GWuAnT0cYkhDssQRB6gEh0zlCSJGGvK6P6yEbyzr4etc5M8bbPKNjwHsPzfxtKYBzpGmo/3Y7s92PIGEDitAswZOSJBKcP87ud2I8exFa4H1vhfrwNda0e11kSSciZQFz2OLTG6PAE2QdYkgYQlTKEhvJ9VH3/JRmX3BDukIQwaGpq4sEHH2Tp0qVUVVUxduxYnnvuOSZOnBju0IRuIhKdM5Qsy1hLd6PRW7A0L++fM+kqdi//Hyr2f4f5vJkAKNGTMvsK1FGxGNMje3Xc/kyWAzTs2UL99rU4yo6CHAg9JimVmONziEoZTHTKYPTRKSJRbZYx5iIayvfTuG8rzkmz0CelhzskoZf9/Oc/Z9euXbz55pukpqby1ltvMXv2bPbs2UNaWtrJTyD0eSLROUNJkoSrqbbVuBy1zkzUuKlU7FqLmZmh7dHDJ4QhQqGzHCUFVKz6CGfFsYUrdeZ4olIGE5UyGEvSAJSqM6dbqiuMManEZY+ltnALlWs+I3v+7eEOSehFTqeTDz74gI8//pjp06cD8Mgjj/DJJ5/w0ksv8ec//znMEQrdQSQ6ZzBLUh6lu74CoClVQpIkoszjqfr+CzwNdWiiIn813P5EDgTwNNTitdbiab65asqxF+4HQKHWkjp0FnHZY9GZxHpQnZU+Kp+6ou3YC/djO3oAU9agcIcknKaf1h/saJFXn8+H3+9Hp9O12q7X6/n+++97NEah94hE5wymmTACz6YPqJKKMEjZAKj0RnRJ6diLD6GJmhTeAAUCHje2wv00HdpN05E9+J32dvaSSBgwifRR+f1uzZveoDPFkZg3lcoD31Oz/huR6ITR/soElAbdyXfsgN/hAmhTf/Dhhx/mkUceabO/2Wxm6tSpPPbYYwwdOpSkpCT+/e9/s3btWvLy8k45DqFvEYnOGciWFpw6rMKMOWcotZu+RXthMkqNDp+9Cfx+1EbxgRkuXlsjtiN7aDy0C/vRA8fNkgKFUo3WFIvWFIfOFIfWFIclOQ9DVPtlUITOSRkyncqDP2A/egB3bSXauKSTHyT0WcXFxa1K+ZyoZM+bb77JLbfcQlpaGkqlknHjxrFgwQI2b97cG6EKvUAkOmcAh7Wc0l0r0Q8fSvSI1jMJEs7Kp/SLf1P+1fsknnMR9TvXozSaMWSIv2Z6kyzLWHeup37H+uaK4cfWd9IaY4hJH0F0+nDMCTkoFMrmYwLBdaBkmYDPi0wASVKK4qmnQGuKJSZtGPUlu6nd8r1YVyfCWSyWk9YsbDFgwAC+/fZb7HY7jY2NpKSkcM0115CbKyZf9BfiHbEf8zgaKNmxnOojGwEZja2MqOETWs240Selkzr7Kup3ruPof15CZY4macZcFCpVp1ZKFk6f3+2i7Mt3aTywPbTNGJuOJSkPrSEGr8eBo76UgnXvMmLOIhQaPQAlO5ZTtnvlT84moTXFYYhJIX1Uvmjp6YKkQWdTX7Kbht0bSZp+EUqtPtwhCb3IaDRiNBqpr69n+fLl/PWvfw13SEI3EYlOP+T3uSnf+y1l+1Yjez0AWAaNImHq+W0SF1mWMaTnoEtKQ1IokZTK0GMiyel5rupyij9+HU99NZJCSWzmaLzOBpwNVZTvXd1mf4e1LLQcQPv/PjJuWw1uWw0Zo47VcKrY/z01hZsxxqQRmzUGSz+qSN5dLEl5ocrm1l0biRs/PdwhCb1g+fLlyLLM4MGDOXToEPfeey9DhgwJ1VAUIp9IdPoRORCgumATJTu+xOsMzjrQp2SRPOtSDGk57R7T8mGnUIsCpr3NunsTZV+9h+zzojFEM/DsG7DXlVC4aWlwB0lCb0nEEJOGMTYdY/PXFinDzg1W4pYkJCSQJAJeN46GChzWcnTmYzOvbLVF2GuLsdcWU3VoHTpLAol5U0nInYBKY+jtS++TJEkiadBZFG78kLot3xM77ux+XwpDgIaGBhYvXkxJSQmxsbFceeWVPP7446jV6nCHJnQTkej0Ew3lByja+gkOazkA6qhYkmbMxTJotPjLvY8J+HyUffkODXu3AKC3JDF09q9Q64yoNAayJlyOMSYNQ0zKCde/UaraJqdKlYYovZmo5IGttqePyicmfTiNFQepKdyKq7Gaoi3LKN7+OfFZY8mZNB9JIT7U47PHU7TjczzWGmwF+zDnDgt3SEIPu/rqq7n66qvDHYbQg0SiE+HctjoKNy3FWrYXAIVWT8LU84kdezYKlfjn7UtkOUDD7i2Uf/MhAbcrtF1rjkOtMwKgsySQbOn+mku65llacZmjyRw7l5rCLVQdXIvDWo7bYW2V5JzJY7OUai2JOZOo2LeGus3fiURHEPoB8UkYoQIBPxX71lCy6ytknxcUCmLHnkXC1AtQ6Y3hDk/4CXvJEUo/+xfexvrQNkNMOhmj84lKGdyrsSjVOpIGTiMxbyq2mqOtume8Lhv7v32V9JEXEp3au3H1FUmDzqJi33fYCvfjrqtCG5sY7pAEQTgNItGJQB5nI4e+f5Om6gIADBkDSD3/KrH2Rx8VCAQo/fztUJKj0prIO+t6opLDO4VfkiTMCdmttpXtXom9tpj9q18hNmMUmeMuPeMKf+pMcUSnDcNaupu6rT+Qct7l4Q5JEITTIBKdCNNUVcDB7/+J19WEQqMj+dx5RI+YeMZ2NfRVciCAHPAjKRRUfvNRqIJ4fM54cibN77Nr3aSPygeg4sAP1BXvwFq2l7SR55M8eHqfjbknJOVNwVq6m4Z9W0medSmSQnnygwRB6JPOnHeuCCfLMpX7v+fotk8gEEAbn0zGZTeJZvU+yFF2lPKvP8CQmo2noQ7bkT0AZI6dS/KQGX06KVWqdWSNv4z43IkUbvoQW3Uhxds+p/rIJrInXN5mkHN/ZUkZhEprxOewYT96CFPOmdmNJwg96fHHH+ezzz5j27ZtaDQarFZrm33ae7/897//zbXXXtvp5xGJTgTwe90UbHiP2qPbALAMGUta/tUoNKIidV/ic9io/O4zrDvWA+CqKgM5gKRSkTflZ8RmjgpzhJ1njEll2Ow7qSnYRNHWT3E1VlFfvPOMSXQUzWsaVR38kYa9W0SiIwg9wOPxMH/+fKZOncqrr77a4X5LlizhwgsvDN2Pjo7u0vOIRKePczus7F/1fzgbKkChIHnmpcSOO6dPtwqciRwlBRR99Fqo6KakUiP7vCgNJoacfTOm+KwwR9h1kiSRkDuRmPQRlO1eSerwc8MdUq+Kzx5L1cEfaTy4gxTvlWKtKUHoZn/6058AeP3110+4X3R0NMnJp77Ku1g4ow9zNlaz56sXcDZUoDKayb7mV8SNny6SnD7GVrCfwvf/jt9pR2WJCSU5OksiI2b/OiKTnOOpNHoyx84NLSwoywEKNy3FXlca5sh6lik+C40xhoDHTVNz96MgCL3vzjvvJD4+nkmTJvHaa68Fa/x1gWjR6aPsdSXsXfN/+B02NDEJZM2/HU1UbLjDEn7C73JS/MkbyF4P2rgk3HXVIAewJA1g4DkL++Wqw+V7V1N54AdqCjYzeOatmBPaX3U70kmSgrissZTv+YaGPVuIGjwm3CEJQtg0Nja2uq/Vak9YFb67PProo5x77rkYDAa++uorfvWrX2Gz2fjNb37T6XOIRKcPaqg8xIHvlhDwuNElpZN15W2ojOZwhyW0Q6nTkzrnWipXfYK7thKA+NwJ5Ey8qt/OUkrMm4q1dC9N1QXs++YfDDznpn675k58djDRsRXsxe9yoNT1v8RV6L+KyuJR6HWndY6AM7i4aUZGRqvtDz/8MI888kib/e+//36efPLJE55z7969DBkypFPP/+CDD4a+Hzt2LHa7naeeekokOpGsrngnh358C9nvx5AxgMzLb0WpPb0fVKH7+Zx2VHoj7vpqqn9YjrehFpBIH30hqcPO7dfdiyqNnsGzbuPgd2/QUL6fA2teI2/adRE12LqzDNEp6KNTcFrLaTywg5hRU8IdkiCERXFxMRaLJXS/o9ac3//+99x0000nPFdubu4pxzF58mQee+wx3G53p1uURKLTh9QUbOHwun+DLGMeOJL0udejUInCcn1N9fqV1G1eQ+L0uVSs/JCAx43SYGLglOvOmFlJSpWGQdNv5vDat6kr2sHBH95kgP9a4nPGhzu0bhefNZZiaznWPZtFoiOcsSwWS6tEpyMJCQkkJHR/GZsW27ZtIyYmpkvdZiLR6SOaao5yZMO7IMtEj5xM6gVXiUXK+qC6bT9SteYzACq+/oCA14M5IYe8s65HY4gKc3Q9K+D3UXngexRKNca4DAzRqeRNu54C9ftUH97AkQ3vYUkeiEZ/8jfDSBKbNZri7Z/jKCkg4PWI2VeC0E2Kioqoq6ujqKgIv9/Ptm3bAMjLy8NkMvHJJ59QWVnJlClT0Ol0rFixgr/85S/cc889XXoekej0AR5nIwe/ewPZ78c8cCSp+fNb1R8S+obG/dspX/EBAJqYeDz1NeijUxhy7u39djxOC1kOcGTdO6G1nAAkhRJ9VDLGuHTMCbnEZo1Cpe1/dda0xljUOjNeVxOu6jIMqdnhDkkQ+oWHHnqIN954I3R/7NixAKxatYqZM2eiVqt58cUXufvuu5Flmby8PJ5++mluu+22Lj1P/353jgABvy9Y0sHZiDYuibSLFogkpw9ylBZQ8tlbgIwhLQdHaQGSUknetJ/1+yQHoHjb58EkR6HAmJGHq6oUv9OOo74UR31wmnlT9RGKtn5KYu4ksibM6zc/x5IkYYxNw1q2D2dFsUh0BKGbvP766ydcQ+fCCy9stVDgqer/79B9XNHWT7BVF6LQ6siYdzNKjRh43Nf4nHZKPnkT2e/HmDUIR2mwmGrGqDkYolPCHF3PqzjwA+V7VwOQln8N0SMmIssy3sZ6nBXFuCqKcTbfAh4XlQd/xF5fyrDz7+o3g7KNsRlYy/bhqiwJdyiCIHSRSHTCqKZgM5UHfgAg/aLrRN2qPqrqu8/xNllRR8fjdzuRfV4sSQNIHjI93KH1uPqS3Rzd/BEAiWfPIXrERCDYyqGJikUTFUvU4NFAsHurfttayr/+AFvNUQ6vfYe8aQvCFXq3MsamA+CsKA5zJIIgdFX/aFuOQPb6Mo5sfB+AhKnnY84bHuaIhI4kTb8Yy5AxmLIG4qooRqHVkTul/3cx2mqKOPjjW8EB8qMmEz9l9gn3lyQFsWPPwpg1CIDaws1UH9nUG6H2uJZEx11bScDrCXM0giB0Rf9+p+6jfB5HcPCxz4spezAJ0/LDHZLQAVmW8VhrURkt1DcX68wZfyVaY3R4A+uAHAggBwKnfR5XUw37vn8t+DOaM4TU2Vd1uhsq86pjC1weWf8ujoaK044n3DSGKNQ6M8gyrqr+XfpCEPobkej0MlkOcPjHt3HbalFHxZI293okhfhn6GuclSUUfbSEQ68+wZE3n6Fu8xqQA8Rnjyc+e2y4w2vDWrYXj7MRSaEI/TzJAT+y3DrpcTZUUnVoHW67tcNzeV129q8Olh/RJaaRfumNSMrOL3WgUCjJue63oFCALLNnxYv4vK5Tuq6+JNR9JcbpCEJEEWN0elnpzhVYy/YhqVRkXHYTKn3/m44bqXwOG9Y9m2nYuwXXcWMxJJWa2LThxGWNJTp1aBgjbJ8cCFBXvJP9q1/DGJtG8pDpxGePC63DJMsBJEmBHAhgqyuhvnQPBRs+IHnw2WSOndtqvaaAz8uBNUtwNdWgtsSQeeVtpzRAXhMVS9pF11H66Zv4PU72fv0SI/J/G9FJvTE2HWvZXjFORxAijEh0epGttpjSXV8DkHr+fPRJ6WGOqP8K+LwE3C78HhcBj5uA24nf7cLvcuJ3OYI3p+PY9y4H7toKZJ+v1XlSh59H6rBzUap7vnjdiciyHJzKba0AZBJyJ4YekxQKcidfTfqoC6k6tI7ibZ9RsP49YrNGkzJkRmhmmKRQEJ0yhISc8WxZ+hgqjaFVkuNxNrJ/9f/hqC9DodWTeeVtqE2nvvhf9NCx2Ar20bB7I476UioPrSV50FmnfL5wa2nRETOvBCGyiESnl8iyTPG2TwGZqKHjQrNXhFMT8Hlx11biri7HVVWGq7oMT0MdAY+LgMeF7Pef0nkN0Sn4PE48DivJQ6aTMXpON0feebIs47CWU3d0G7VF23HbakOPxedMaDVmRpZlNHoL6SMvIH3kBTRWHaHywA/s/PxpUofNImPMRchyALXOiKO+DJ/bRtxPuuBKdiwPJjkaLemX3oguPvm0ryEt/2qQAzTs2Uz1ofUkDZwWsVPOteY4ALxNDWGORBCErhCJTi9pKN9HY+VhJKWKxOkXhzuciOMoP4q96BCuqjLc1WW466pBPvmgW4VKi1KtQ6nWolLrUWn1KDUGVBoDKo0elbblewNqvRmPs4kD376KQqkmddisXriy9lUf2UjZnm9wNVYfuxalGlN8dnMrjAwcSxhakgdZlpEkCUtiLpbEXPxeN/7m8THBx6Bs72osSXnozPGh4912K9UFGwFQm6Mp/mgJMaOmkDzjki6Nz/kpSakk+dx5NO7fjsNahqO+NNQyEmk0umDrVsDtJODzoVCJt09BiATiN7UXyIEARds+ByB27NloLDFhjigyyIEATYd2UbNxNc6ywjaPKzV6DNGpGKJTMMSkoDcnotToUKr1KNValCptl8aEyLJM4cYXAEgcODU4yyZM/D4PrsZqJIWK6NQhxGWNITp16Em70H7ayqNUa0PHKJq7qeqKd5A37brmfYLjd45u/ggCAVRGC3m33IeruozylUtx1ZSfdherSm/EPHAkjfu2Ur73W/LOuu60zhcuSo0eSaFEDvjxO5pQiN9jQYgIItHpBTWFm3Fay1Fo9cRPOS/c4fR5AY+b+l0bqNu8Bo812F0jKZXEpA7HGJuOISYFQ3Qqar2lW7tBGisOYqs9iqRUkTJ0Zred92QCfh8FG94nNnMUMWnDAIjLHIVKrSc6fRgq9amtlv3TVh4IthSp1HosSXnN+yjw+9xYS/cCwTWDAHQJqQQ8bmyF+9Enpbc6x6kwZg2kcd9Wao9uJXvilagicAVwSZJQ60x4HA347E2oRaIjCBFBJDo9LOD3UrJjOQAJk88Ts6xOwGtrpG7Ld9Rv/xG/ywmASmMgceBUkgad1eNVsSWFAkN0CpakvF6rwO112Tjw3evYqgupL9nNmMseQKXRo9aZic8Z1y3PIUkSLlstOlMclQfXEpc9DpVGjxwIICkUFG37Aln2ozSYiBo2PnRcwONGY4kNneN0RA0ZQ/lX74EsU7T1E3Inzz+t84WLWmcOJjqOpnCHIghCJ4lEp4eV71uDx2FFZY4mdtzZ4Q6nT/K7nFR++wnWXRuRA8FBxFpTPClDziE+dwJKVe/MeLIk5TFizt2nPJC5qxwNFRxY/Rpuex1KtY6B59yASqM/7fP+tPXF2VDFjs+eQmeJx9VYQ86kK4FgYicHAtQWbgEgZtTUUFefrWA/KpMFhbZ7Wl6UGh3GzIHYjx6gtnALOROvjMip5i3dmT67SHQEIVKIRKcHue1WSvesBCDpnItQqDVhjqjvsRcdpPTzf+NtsgJgSsgmZchMYtKGheWDUJIUSKqef15r2X4O/fAmfq8LrSmOwTNuRR91erXOHPVlaM3xKJTqVtv1UYlMuvZJago3U3VoHbu+eJaUoTNIH3Uh1tI9+D0OUChImHxuKElqPLQTtTkabUwC0DZ5OhXJ587j8JK/EvB7Kd+/htRe7B7sLiLREYTIIxKdHlS09RNkrwdDWk6rLgEBAj4fVd9/Qe3G1YCM1hRH7pSrsSQO6PVYmqoLsdUUkpg3tVfWy6k88AOFmz8GOYA5IYeB59yEWnfqXZoOazkHv38TSZJQaQxYkvJIG3k+IIWSE0mhICF3Igm5E3FYy3E11SAHApQ1VyVX6gwoNMFrd9dWYjuyl8SzLkQTE5yZ1R1joXTxyWhiE/HUVVG2eyUpQ2ZE3FRztb450RFdV4IQMSKv7ThCNFQeoq5oO0gSKbOviLg39J7kszdR8K/nqN24CpBJGDCZkXMWhSXJASjZ+RVFWz+lZMeXvfJ8jobKYDmJnAkMOff200py/F4XR7d8QlzWGEZe9Hv00SnUFG6haOtnSJLUbt0rvSUJtdZEyY4vsNcWgUKBJjqeox+8QvX6lRQv+yeGtBwsQ7q/1EXKeZcH4/Y4qWnuMoskap0JEC06/UlpaSnXX389cXFx6PV6Ro4cyaZN/aMYrRAkWnR6SNnubwCIGT0VXWJamKPpOwI+H8Ufv46rqhSl3kjuxPnEpo8IWzxuu5XGigOARPLgc3rlObPHX4Y5IZu4rLFdSoCDtatkFMrgr63f68bZWIXHYSU6ZQiSpEAflUTVwR+p2PctcZmjMMVnIQf8SAol9SW7qS3aTkP5PnxuR+i8sWOmkTD1Amo3fYuz7CiJZ+VjzB7cI+vEmLIHozSY8Dts1BZuISEnslo6lRoDAH535NfuEqC+vp6zzjqLWbNm8cUXX5CQkMDBgweJiREz6voTkej0AGdDVejDM35i+Bad62tkWabsq//gKC1AodUx/Nw7T3tcyumqL9kJgDkhG60ptseex+NoCE2HlxRK4rM7P6NKlmXqS3ZzdPNHDDz7RkzxmQBUHVpL0dZPUWkMoeQnaeA0DFFJ7Fv1f+z95h8M/vWjKFRqZDlAzYEC6ppbURRaHebcYZjzhmMZNBpJoQhNLW95zp6ijUvC4bARmzmmx56jxzQvUilaaPuHJ598koyMDJYsWRLalpOTE8aIhJ4guq56QOWB7wEw5w1DEx0X5mj6jpoN39CwexNICgZNuzHsSQ5AXXEw0YnJGNljz+HzONi1/DkOfPsaXpe9S8c6GyrZt+oVDn73Oh6HFb/fG5qZBkBz4lR5cC0ADQleFOMGkXP9bwgEfOx74UFsRw8iSQrMOUNImHo+WVffTtI5FyGp1RgzB7Y76LsnP8iV2uDMMjngO8mefVBLAiiJt86+rLGxsdXN7Xa3u9+yZcuYMGEC8+fPJzExkbFjx/LKK6/0crRCTxMtOt3M53FSXbgZgNhxvdMVEgkaD+ygas1nQLDrJiplUJgjAq+ziaaqAgBiezDRObp5GV5nIy6VFqWqczPvfB4npTtXUHnge2Q5AJJEYt5UTHHpoUKcyYOnkzx4Og0VB9n/7atoRw7DubEIR2khhtQs9IlpaOISOfqfl4kdexYps6/AlD0Iv8eF3+FA9vnZ/78PM+Cme9vUtZL9flAoeiThkZpbn+SAr1tmc/WmlpauSIo5kvgrDMi6U1/SIOAKJqAZGRmttj/88MM88sgjbfY/cuQIL730EosWLeKBBx5g48aN/OY3v0Gj0bBw4cJTjkPoW0Si081qjmwi4HWjjUvCmDkw3OH0Cc7KEko+fxuApEFnkdRHKljXl+4GZIyx6WiNPdMnX1+6h5qCTYBE7pRrUKjUJz2m+shGirZ9hs9lAyA6bSiSpKDq4FoaKw6QMGAyiQOnhlZMjk4dTGzGSKrWfEbM6KlEDRlDw8GduKrLiJ1wDrFjzqLxwPZQUqHU6IgaOhZnZQlKvbFNLStH2VHKlr9L3MSZxIyY1O2vidQ89qf68EZqCjYzPP+3EZM4yC311SIk3jNVcXExFsuxRT+12vZnUwYCASZMmMBf/vIXAMaOHcuuXbt4+eWXRaLTj4hEpzvJASoO/AAEa1pFypt3T/I2WSn68P+QvR6ikgeRNe7ScIcU4rZbkRRKYjNG9cj5fR4HBRveByB5yHTMCdmdOq6p6gg+lw2dJYGscZcRnTokeD6vi9rCrVQdWkfxts8xxWcGk54Bk0i+6noK//MS1l0b0Kdm462tRGWKwlZwkNQLRmNIzQKCLTWSUomt8AC1G1eTeeWtobVyWjiKD+OuqaBy1TLMOUNRGbu35lfLeCJHQznIMs6GSgzRp18pvXc0t+hE4GKHZxKLxdIq0elISkoKw4YNa7Vt6NChfPDBBz0VmhAGItHpRg0VB3HbalBodUQNnxDucMLO73FT9OGr+GyN6KOSyDv7hlC3S1+QMfpCUobOoOXDq7sd3fwxXmcjOnMCGaMu7EJcF6GPSiZp0FmhpECWZVRqHUkDp5I0cCpuu5WaIxs5uvljHDoH8WnnknbxdbhryrEXHSLx7Dn4XQ7qtnwXmj3lc9lp2L2Zhv3bcFUUEz1qMubc1m/yXlsjhoxcdIlpuKpKqVj1Eelzb+i+F4VjXVdaYyxuWy31pbsjJtEJTdcXf8T0C2eddRb79+9vte3AgQNkZWWFKSKhJ4g/S7pR1cF1AESPmIRS0ztlC/oqORCg9NO3gtPIDSYGz7i1W8obdDeVRo+qecpwd6ov2U1NwWY602XlbKikaOunoQ9Rtd5MytAZoSQHWhfolGUZrTGatJHnM/Hqx4kdPx0AjSUGc+4wkmdeikKlpmHvFkx5wan77roqqr79jNrNawi4XSi0ety1lfg9xwZpBvw+6rb9QMG/nkepN4Ik0bB3K01H9nbraxNKdJpnuVlL9nTr+XuWGIzcn9x9992sW7eOv/zlLxw6dIi3336bf/zjH9x5553hDk3oRuK3tRs1Vh4EJGLH9o0xKOFUsXoZTYd3I6lUDD775h6dun0qfB7HyXc6DSqtAa0p7qRdVh5HA/tWvUL53tWU7vrqpOeVJKlV0tOUKrVq9fFYaylb/h/Kvv6AqKHjSJyWjyzLlH7xDl57I+YBw/HZGsi59k6QZay7NjQfG8BWsA/rjvWkX3oDSp0+VLKkfMX7rRKi09UyRkdriAbAVluEx9nYbefvSWIwcv8yceJEli5dyr///W9GjBjBY489xrPPPst1110X7tCEbiS6rrqZKXdomzEPZxpbwX7qNq8BYMDkazHH961m4IDfx9alj6GPTmHIzJ+j0nZ/i445IYeRFy1COu5vCWvZPvxeF4aYNHTmOCRJQcGG9/E4rOjM8SQN6tosvYDPCwRbDh2lBdRvX4ezogh9ahY5P/s12piEUPLjrChCodZiO7yXzKtuQxuXRMDjRmpumfA21lOzdgUqk4WowWOIGjyGqh+WU7N+Jd7Geuq3/UD8pHO75bXxNtYDwZYdY2w69roSGsoPkJDb97t7Q1P7RYtOvzF37lzmzp0b7jCEHiQSnW4WfYaPzZFlmaoflwOQNOhs4rLGhDegdrjtdQT8XpwNlSh7sDvt+KrrVYfWU7DhvdB9hUqLzhyPo74UgMyxl6DSdG1a7YE1S7DVF2PMGkjTwV3ET51N7vlXhlpiWlZEdlWVYMzIQ22JxrpzI15rLZ6GOiSVCqUhWH5CqTMSN3EW1T8up/SLf5M2ZwGJZ+UjqZRUrfkcR2nhab4aQY37t9Owp3n5heZB4Pa6ElxN1d1y/p7mtgeTNLU5KsyRCILQWSLR6U6ShClncLijCCv70YM4ywqRVCpSh3dPC0B3czXVADS3qnRvF4TP46S+eCeW5Dy0xuYxKOX7KdgYnMWhiU3E21hHwOcOJTkQTFokpYrY9BHkTrm21fgcCCaQxds+o7ZoOzpzAkPP/QVuWw0Bjws5EEAdFUvtxlXYjx4gftK5WAaODA389tmbUGi0JE7LxzJwJCWfvoWnoRaV3hhavE+h0RI1ZAyWwaMofOd/qd+xjphRU4gZMRlzzlA08ac/WNjvdlH21X8ASBk6k6jkgbhtdZgTc9EYIiNxcDUGEzJN7JndaisIkUQkOt3IkJYT+uA4E8myTHVLa86AqWj0J5/eGQ6hRMcU3+3nbqw8zJH1/0FnSWT03D/gqC/j4A//BDlA1LAJpF20AOQAtqMHKXr/FUBGl5iGx1pDwOOm9ug2lGo9+qgkkgZOC01jLt35FeUtlcbVOgJ+H26HFQB3bQXehloAnGVHKfnsX5iyBpEx72YkSUJtisJVWYLaEoPKHM3gux7j6AevoI1JwGtrDK2v4/e4UWq06BJScVYUEzNqCiqjuduml1t3rsfvcqIzJ5A+eg4AiXmTScyb3C3n7w0tLU9neve0IEQSkeh0I1POkHCHEFb2okM4SguQlCpShs4Mdzgdavmw0pl7ItE5BIAlKQ+Po4H9375KwOPGkDGA1AuvDrYgSUpsBfsAGWNmHtnX/ApZDtB0YCfFy96g6lCwnIOtppC8s66npmALpbtWAJA5di7mxAF47PUgy0hqDdEjJuFrrMfnsNF0aBey14M5b3iwerkso4mOQ22OxllRjD45g9ot3+OpriB21FTqtn6P32knfuLM0ExBV3UZ2tjuLc8hBwLUbvkOCK4ppOhDywx0lt/nwdOcXGq6+fURBKHniESnG53piU712uCsocQBk/t0V8SxrqueSHQOAmCOy2L/t6/icTSgiU0kc97NrbqjYkZNIeB2ETV0LACSpMAyeDSGjDwcxS3J0iCaqgs4sv5dINjd05JAWsv2AaA2RRE/cWZo+nrF6mXUblxN+dcfoktMR5eYgjYhBdOAYRS+8yIqoxlNdDwJZ+VjSM9FbYkJVpOvLMaQkYe98ADumgpSL7wmFKu7rorqtV8jB/xkXHJqa+o0HdyJt6EOldZAfDsVywN+H5Kk6NML8bX83Ch1BlR6Y5ijEQShs0Si04000d3/wRkp7MWHcBQfRlIqSRnWtyu2H0t0urf7wetswtlQCUB1wSYc9WUoDSayrrwNpa71zC5dfDJpc65tta3pyJ5QkgNQvu9bvK4m5IAfc2IuOsuxVgRn81gRT301e5+5D6VOj8poQROXHEqWij56FUNyJgqtHn1SOkN/91/I2w6jtyRxcNcH1KxfSdb82xn0ywep+OYjHCUFyHKArPm3t+6akSQa9mxCUioJeD2hwc5dUbPpWwAS86a1qfe14/O/4bRWMPKiRRiiU7p87t7S0hKoEd1WghBRRKIjdIvqH4OtOQm5k0Lro/RFsixjjs/GqTGgs3RvYtrSbaXSGGisPIikUpN5xa2dqmDvc9go+fRfAEQNHYetcD+uxkoUKi36qGQc1goK1v8HhVJFVPJAapsLxyJJIMv4XU78Lifu2kq0iWloYuIBCVPuMNw1FVSv/QpnRTGDR12N19WEu7QUr62egrefJ+uqX5By3hXIgUCoRUWWA6Gp55roeFTmaHxNVhxlhZiyulaQ1VF2NDhAXakkadC0No8Hu7Fk3La6vp3oNCeX3d2tJwhCz+q77cRCxLAdPYC96BCSQknqsL4506qFJEnknXUdI+fcjVrXvTWcGpoTneBihBLpc6/HkNJ6DaH6Heso+exfuGoqWm2v+uFLAm4n2rhkUudcS/rF1wESAZ8br8uG3+PAEJNGdOpQGiuP4HE2AWBIz2XIr//MgJv/QMblt6LQGXBXlYIMmVfcSszISSTNvITMK35O05E9HF73DmqdmeEX3IkhJg2/007hO/+LrfBAq7IG0nHrxEiShDEjDwiOw+qq2s3B1py4rLHtDlBvWUzSZavt8rl7k5hxJQiRSSQ6wmnxu12UffEOAAkDJvdYFfBIYC09Vsog+dzLsAwc2epxWZapWf8NDXs2Yz96ILTdXVtJ/bYfg9/XV2E7shdTzhDip5wHgM9tQ6HSkjLsXI6sf49DP7yJ19kQ3L+6nLIV76OJjsPnsBE7dhrxUy9AqTfgqioLxrVzPZ76GobN+AX1xbso3b0Stc7M0Nl3YEnKI+B1U/TBKzjLjnZ4bcasU0t0XFVlNO7fAUDK4Ont7qM1BVu83La6Lp27tzmbqgDRdSUIkUYkOsJpqVm/Em+TFa0pjswxF4c7nLBqKfVgGTKWuPFtP9T9Tjsea3B8UPTIY1OqlQYThvTc4J1AgJqD6ylY/hqWwWNC+wR8bg7/8Cb1xTtanTN+6vn43cG1dFyVJTSVH0SfmIpSb6Lp0E7qd6yjbPl/aDiwA0NMKlnjL6Oh/ABeVxNKlZbYzOCifXLAj6u6rMNr0yelA8ExQZ3lKC2g8N0Xg1PrUwZjiEltd7+WljWf297pc/c2Z2M19toSAHSJ7V+HIAh9U8QlOi+++CLZ2dnodDomT57Mhg0bTrj/e++9x5AhQ9DpdIwcOZLPP/+81eOyLPPQQw+RkpKCXq9n9uzZHDx4sCcvod/wNllD3RJZ4y5Fqe77hUyrDq1nwzv3c/D7N7v93JIyOPNJn5zR7uOhytfQquirUqPDVRlcPDDq/PPwlJfj2LELR7QztI8p77gq48dNzW7Ytw3Z48ZnayBpxlzSpl+JZdAoUmZfQdPhvVj3bg0+h92Hw1pBfekeXE3VSAoV5XtXU7jxQwCiR00mZtSUE1ybqs01nEjTkT0U/udl/C4npvgs8qadoHaQ3FIos+/WjyrfuwqQMQ0YJtbQEYRuUFhYyK233kpOTg56vZ4BAwbw8MMP4/F4Wu23Y8cOzjnnHHQ6HRkZGfz1r3/t8nN1OdFZuHAha9as6fITdYd3332XRYsW8fDDD7NlyxZGjx5Nfn4+VVVV7e7/448/smDBAm699Va2bt3KvHnzmDdvHrt27Qrt89e//pX/+Z//4eWXX2b9+vUYjUby8/NxuVy9dVkRq+r7L5B9PswJOUSnDTv5AX2ALPuRA75jNYu6UcAXLHyp6LByffuVrx1lhQS8bhQmIzEX5Yc++CWOffDrp44Jnttswpw7FKl5Orm3sY6YMVPRxiai1GjRJ6VjO3qAwndexGBOxFlyBAiOG/I4G6gv3onP7aB4++cUb/sMgLiJs0iaPpeAt+PCnZJShcpkQW06+SKQ1t2bKPrwNWSfl+jUIQw59/aT1BNre719idtuba5EDwmTZ4c5GkHoH/bt20cgEODvf/87u3fv5plnnuHll1/mgQceCO3T2NjIBRdcQFZWFps3b+app57ikUce4R//+EeXnqvLiU5DQwOzZ89m4MCB/OUvf6G0tPTkB3WTp59+mttuu42bb76ZYcOG8fLLL2MwGHjttdfa3f+5557jwgsv5N5772Xo0KE89thjjBs3jhdeeAEItuY8++yz/PGPf+Syyy5j1KhR/POf/6SsrIyPPvqo164rErmqSrHu2gQE6zRFXDXnbo43EPDjsAYHGEvKDhbDa24NkRStn7t+53oANCnJwVlPgeaESCFhPmsqpskTsW3aEjyF203cr24gZsSk5vsuLANHIcsy1l0b8Tnt6Kr8eBvrCQR8pI/MB8BRX0rR1k+bn1Gi6mBwUcKkmZeiS0hh/wsPUrzsnx1enyYqlsF3PELeLfed8HWo2fQtpZ+/DXKAuOxxDJx+c5vp5D+lNcYSlTIEQ0zfnHFVse9b5IAfQ8YADGnZ4Q5HEPqFCy+8kCVLlnDBBReQm5vLpZdeyj333MOHH34Y2udf//oXHo+H1157jeHDh3Pttdfym9/8hqeffrpLz9XlROejjz6itLSUO+64g3fffZfs7GzmzJnD+++/j9fr7erpOs3j8bB582Zmzz72F5VCoWD27NmsXbu23WPWrl3ban+A/Pz80P4FBQVUVFS02icqKorJkyd3eE4At9tNY2Njq9uZpvLbTwGZ2MwxmOIzwx1O57V0k3T3af0+3M2zhloW72v71O236IQGJreEJjcnRCoV8VdfiXH0KFxHCpq3KUGSUMcEp8bLPi8KtQZn+VFKv/g3h/7viVDSGfD70FmC3SxaY0xooT454AVJQeqca4mfODNUE4tOdkt1xF1bSeWqjwFIHjydAVOv7dQKyLGZoxgy6+d9cjVtr8tG5ZFgIipac4Qz2U8/89zujluAT1VDQwOxsbGh+2vXrmX69OloNMf+WMrPz2f//v3U19d3+rynNEYnISGBRYsWsX37dtavX09eXh433HADqamp3H333T0yxqWmpga/309SUlKr7UlJSVRUVLR7TEVFxQn3b/nalXMCPPHEE0RFRYVuGRntj8nor2yF+7EV7kdSKMkYMyfc4XRJSy7R3d0ksnwsSVB0VIW8pUvquETH57DhswUTZVVccPaRHGr5Ce5nGD4U/aic4GNOF9X/epXqLauC+6jUyLJMw55gi0908hCU6uDzy34vCkVwbI1CqcZjO/bGkHHZTaFWIVrWzjnN7rymQ7sBsCQPInPcJa2uM1JV7P8e2etBl5SOMbtr6wcJQrhpijVoi07vpikOJhkZGRmtPveeeOKJbo310KFDPP/889x+++2hbR19hrc81lmn9U5UXl7OihUrWLFiBUqlkosuuoidO3cybNgwnnnmmdM5dZ+2ePFiGhoaQrfi4uJwh9Rr5ECAytWfAJA0cBo608kXw+tTQq0qPXReQKFtP9FRR8Uy7PdPMfiux0Lb7EeP/VGgMDQXhG3uupIBjNVgqmb8L0bQstG5vyhY50qrxZieC3KAhn3bgudQqkMJS8DvCw0iDvh92OtKmp9Jwpw3PPS8oUUCT9Ci43PaOfLWcxx569kO92kq2AtATPrwyOvKbIfP66Li0PcAJEyZ3S+uSRBOVXFxcavPvcWLF7e73/33348kSSe87du3r9UxpaWlXHjhhcyfP5/bbrut22Pv8srIXq+XZcuWsWTJEr766itGjRrF7373O372s59hsQQHKi5dupRbbrmFu+++u9sCjY+PR6lUUllZ2Wp7ZWUlycnJ7R6TnJx8wv1bvlZWVpKSktJqnzFjxnQYi1arRavt+zOMekLDns24qstQaHWkjojkpvzubtE5LtHpoERCS0HP4xs6bIXHfuFDY3uaW4cUUU0U/Dw46M426VirodagRI6LQ3ZJRA+fjO3oAfxOGxAsPZGYNxUIFqHURyWRM/lqVBoDh9f+uyVaZL8fSRX89Q/Vl5JP0HUlyzjLjzZ/G2jTWuN3O3GUBLvXolO7VvOtdPdKynZ9TWLeFLLGX9alY3tS1cG1BNwuNLGJmAeOCHc4ghBWFosl9Bl/Ir///e+56aabTrhPbm5u6PuysjJmzZrFtGnT2gwy7ugzvOWxzupyopOSkkIgEGDBggVs2LCh3YRg1qxZREdHd/XUJ6TRaBg/fjwrV65k3rx5AAQCAVauXMldd93V7jFTp05l5cqV/O53vwttW7FiBVOnBj8IcnJySE5OZuXKlaHraGxsZP369dxxxx3dGn9/EPB6qPr+CwDShp6HWht5hQ01hijMiQPQRyWdfOeuOC5JUGr1nTtElrEV7g/dl1RKPBWVGEaNJPGuC5Bdx8a8VW841mrorLKhC8joxg/Hm2XA/vmxWZAGbQym8uD0zIDPTX3JbpIGTsXVVBOaFQYEZ3k1Jzp0okWnVbHNgAw/GXpjKzwAcgCdJbHLrXyy30fA7yXQAzPhTlXA56ViX/B1TZh8Xr/ohhOE3pCQkEBCQueWYCgtLWXWrFmMHz+eJUuWoPhJUd+pU6fy//7f/8Pr9aJWB8c+rlixgsGDBxMT0/nFabuc6DzzzDPMnz8fna6DcQhAdHQ0BQUFXT31SS1atIiFCxcyYcIEJk2axLPPPovdbufmm28G4MYbbyQtLS3Ud/jb3/6WGTNm8Le//Y2LL76Yd955h02bNoWyRkmS+N3vfsef//xnBg4cSE5ODg8++CCpqamhZEo4pn77WrxNVjSGaJIHnx3ucE5JbMZIYjNGnnzHLjp+jI7UwQBcb5OVitXLgqUy8q/B52gKjc8B8DfZqFu6DOe+/djWb+SCj2+i3d8iGVzVdlxfbqCB1utIeTx2yqu3Y9QnYHdWU7jxQ2LSR1De/KGtTUgh66pfoNQdS8YCblfLRXR8fcclQbIst2kPa2mZik7pWmtO8NzBBKevJBNywM+R9f/B62pCbYkhaui4cIckCP1OaWkpM2fOJCsri//+7/+muvrYYqQtrTU/+9nP+NOf/sStt97Kfffdx65du3juuee6PDSmy4nODTfc0NVDus0111xDdXU1Dz30EBUVFYwZM4Yvv/wyNDipqKioVUY4bdo03n77bf74xz/ywAMPMHDgQD766CNGjDjWDP2HP/wBu93OL37xC6xWK2effTZffvnlCRO5M5Ec8FO7OfhhmTZiNgpl+zOLzlQtY2EAPA21qM1RbfZRGcw4Sgrw2RowZQ0iath4jNmDsTe36jj27CVmTj7OfcH7P/z6I1RmLb6mtrMbJI0SZAnZ60NSa5C9wVac1MSxRJkyKK8PrqAsKRQc3bKMuqNbAYnEafmoTa1j0yWmET1qMipDx7W/XJXB8T3qqLhjLUHHcZYWAmBJGtDhOTritgcHSWsMbV+z3hYI+Dn849vUFW0HhYKU2Vd2vFyAIAinbMWKFRw6dIhDhw6Rnp7e6rGWoQBRUVF89dVX3HnnnYwfP574+HgeeughfvGLX3TpuSKuevldd93VYVfV6tWr22ybP38+8+fP7/B8kiTx6KOP8uijj3ZXiP1S4/4deBvrUelMoWnKkSzg96FQdt+Pv+z3Bb+RJPSp2e3uIymVxI47m6o1n1G7eQ1RwyeQefktFC1dgr1wH4EmG0qLmaRf3kbVktexF1nbPY8u3oirJlguQaHXEz1sInXNSWhN/X6q6/bidTchSQrkgL85yYGEaRdgGTSqzfm0sYmk5V9zwuuzlwbblgzpOW0ea6maDpzSUgOupuBfci1T4cNFDgQ4svYd6oq2IymUpF+2EPOAyFgIUxAizU033XTSsTwAo0aN4rvvvjut5+obbcVCnybLMjUbg9OZkweeFdGtOX6fh60fPcbGdxfj93bf6tf+0KrIujb9zMeLGTUFSaXGVVWKo+QICpWazMtvwTxgOLLPR+XfX8W2cTMJN1wPHbQktCQ5AMiECoICOFy1ON31SApV6+40pYrazWtwVpZwKhzNKywb0tomOs7yIiBYnLOrFeFlWcbZXBVcbw5foiPLAQo2vEft0a2gUJBx2U1Y8sQAZEHoD0SiI5yUo/gQrsoSJJWaxIHTwh3OaVGqNAR8XkDG1Y3Vsv3ek5V/CFLpjUQPnwAQ6gpUqFSkX7aQ6BGTQJaxb95C1WtvYBw1osNkp0XA5TzWmnQcOXBsm8poRvb70ETHoY07NlMh4PNStuIDnBUnXx5BZTSj1BmC09l/wlFWCIApPuuk5/kpr6spOEhakkJVzHubLMsc3fQR1Uc2giSRPveGVtPvBUGIbCLREU7I73ZStvw9ABJyJqLWRd5Mq59q+UBtWcm4O/jcDiA4lqn4kzfxNHScRMWOOweApoO78FibV1NWqkibcy2xY4OPEQhg37q94ydUKki9cAG5N9zNwJ8/EPpgNie2TkS0cUn47E0o1FrSL7mh1fiaxn3bqN/2A8Ufv37SYp0Zl9zI4LseRROb2Oaxlmnnp5LoyAEfsZljiE4Z0q1diZ1+flmmeNtnVB78EZBIm7OAqMGjez0OQRB6jkh0hA7JskzZl//BY61BY4gmY9SF4Q6pW+jM3ZvoOBuqKNjwHwBkn4/GfVtDXT3tPn98MqbswYBM3ZbvWz2WNONidM3VzyWVGvztT7mOHjIeSSHhrChGExOPubmbpanq2PPqktJDY2dSLriqTdXtum0/ABAzemrr6eMdkCRFm0XzZDmAoyyY6JhPIdHRGmMZePb1DJ55a5eP7Q6lu1ZQvnc1EHyNWlrbBEHoP0SiI3Sobuv3NB4IDswcePYNJ6lAHTlaWnRc3ZDo2OtK2P3Ni3gcDWhiE7E0twY4Sk+8vELcxFnEjDmLmDFTW21XqDVkXn4LKpMF2edFl5jWbiuKdfdGSj9/m/IV7yMHAs2J0zHaxDS8zVPXo0dMJHpY6wHkzopinOVFSEolMSMnnzBWn9Pe4WOeumoCbicKpRp9dN8sytmRsj2rKN35FQDJ584jdvTUkxwhCEIkEomO0C5H+VEqVy0DIHPM3FPqluhLvK4m6op3Yi3bT8uqyM6GqpN22ZxIY+Uh9nzzEn6nHV1SOjkL7sKcE1xH5mSJjil7EKnnX4m2nSRGbYoi8/JbQ4OWDak5JJw1B4VWDwoFKkssupQsjNmDMQ8ciRzwozZHo40Pjr/RxCRgSMnEb29EE5tI8nlXtHmOuq3B1hzLoNGojB0PIJZlmUOvPcmBlx/FXV/d5vGW1hxjXEanCnj+lNdlbzVourdU7P+e4m2fAZB4zkXEjZ/e6zEIgtA7Im56udDz/G4nJcv+iRzwE5MxkqQIXRywRe3RbRzZ8B4Bb+v1aJqqDrPhnftQqnUoNTrUOhPpI/M7VcKgqbqQfav/D9nvw5AxgMzLb0Wp1YVmJblrKvA5bKgMppOeK+DzIgcCKJsHMnustZR+/nYoCbPuWt9qf19jHb4mK7rEVFLOuzxULT155qVYd28icfrFqAwmJJWK6OGTQudt4W2y0rAvWAQ0duxZJ4zNXVuJ32EjoFShNrddidRRFkzoTHGnVsF+z9cv4rbVMfS82zEntJ3R1d0Cfi+lu76mbPdKAOKnnk/ClEguZSIIwsmIFh2hjcpvP8PbWI/WGEvu5Ksjuphh+b41HPrhLQJeN2pLDLqEVFSmKI7VupLxe5147PXYa4vZ/+1rVB3ecKJTIssBCjctRfb7MOUOC6403FzIU2U0o0tMA6Dy209PGp/f5eToe3+n5OPXkZvH4zTs3RIcW3NcSQSlWofWFI/WFBdceVkO4KosoeDfL9B4YAf24kMEfD5Szr8KjSUGhUpNyrmXo09Kax17IEDR0teQfT70KZkdrvkTvE6ZqjXBVg9jZl6bhQK9tkYa9gbX6LEkDzzptf6Ux9GAq7EKOeDrlRlXPo+TfateCSU5cRNmkHhW/xh3JghCx0SLjtCKvfgw9duD67LkTLkalaZzdZv6GlkOULT101C9othxZ5M8a16rQbcBv4+Ay4nf5cDvcVG35Qca9myiYP1/8DispI04v90kr/bodhz1pSg0WtLmXBtqUWmRMvsKCt5+AeuuDUQNGYMpp+MWIk9DLc7KEmSvh9Iv3yXtogWh7qD0UReSOHAaHocVY0xqMOaAn43v3Bc63u+wUfzx66H7UcPGk3bRzzpMTiWFgoQps6lY9THpc284YRLbeGA7TYd3IymUJM28tM3j1Wu/QvZ6MMVnEZU8qMPzdKSuZBcAprgsNPqTFws8HR5HA/tW/x9OazkKjY7UC6/BMmhURCfxgiB0jmjREUICPi9ly4OzhxIGTCYqKS/MEZ2agN/H4R/fDiU5SdPnknzu5W1mFimUKlRGM9q4JAwpWaRdtID45m6M0p1fUbDh/VAdpuPPXbI9WNg0ftK57XZNGdJyiB13NqbcoaFxMx3RJ6WTcemNIClo2LOJ8m8+wtm8Lk1UyiDUWkMoyQFQKJShWlqSQgUtH9QKBdr4ZPzuYOL2U37PsW47y6BR5N26GE10x60ofpeDiq+XBq9z8nnofnId7roq6revAyBjzEWnlDDUFwfLVMRmdn/tseM5G6vYveIFnNZyVEYzOQvuJGrwaJHkCLz00kuMGjUqVJl76tSpfPHFF+EOS+hmokVHCKn+8Ss89dWo9RYyx84NdzinxOdxcvC712msPAwKBWkXXtvhlOGAz4e96CCG9FyUGi2SJJF0zkWozdGUf/0B1YfX43U2knf29ShVwXEuVQfX4rbXoTJaTjiANXnmpaBoOx27PebcYaReeDVlX7xD/ZbgUueSQok+OrXd/Sdc9WckpQpJkvA4Gtjz9f/ittUi+/2kXnA1Kr2RgM+Hx1qDu6YC664N2I4eRBuXhOzzknL+VZiyTtzVVPHtJ/gcTWhiE0PJ3/Gqvv8C5ADRqUOxJHa9vpXXZaOxeSp8TA8UWW1hqyli33ev4nfa0cQkkHXVL06Y4AlnlvT0dP7rv/6LgQMHIssyb7zxBpdddhlbt25l+HCxaGR/IRIdAQBnZSk1G4JlHrInXB6RXVYeRwP7V/8fDms5CrWWjHk3tZl2fbyCfz2Hq6qUjEsXhqaFA8SOmYbKaKHk0zexlu1l79cvM3jmLUgKFaW7VwCQcFb+CVdB/mkhSL/bFRrH056YEZOQJAVlX3+A7HEjB/xUH1pL8uBz2ux7fFeZxhDF0PN+yZ6v/xdPfTVH3nwaSanG21jXphq5u7oMgNLP/sWAm+9FpW9/8Uc5EAhVNE/Nv7rN2BxneRGN+7cDEhljLurwmk6kvmQ3yDKGmDR0PTQ+x1q2lwM/vIns9aBLziDryts6NThcOHNccsklre4//vjjvPTSS6xbt04kOv2I6LoSkAN+ypa/C3KAmIyRxPbgX9g9xdlQye6vnsdhLUdlMJO94M4TJjkQHGAL0Hhod5vHLANHkH31HSj1Rux1xez+6gWObvkYn9uBJjaRmJGTOhWX3+2k9It3OPLPpwk0VxjvSPTwCVgGBl97hVJDXPa40GPyT5KW42mNMQw975doDFH4bI14G2pbJTmSQklM+nAGTLsOnSUBn72RipVLOzyfpFCQcelCBiy8p03JB1mWqVwTHGQdnzMOwymunVMX6rZqW2S0O1Qf2cT+NUuQvR6M2YPJvuZXIsk5gzQ2Nra6ud3ukx7j9/t55513sNvtTJ0q1lTqT0SLjkD12hW4KktQaPVkT7g83OF0mb2uhL3fvtLl7glz3ghqN32L7cge5IA/NPalhSEtm5yf/Zqj7/8Dd0NtaCXlpHMuarPvidgK9+OzNVD1/Zckz2o7qPd4ruaim7lTrkGtDba4yLLMwe9exxiTTvLQGShVmtD+LQmQzhTHsAt+TfmeVdQUbsHvcQIQnzOBzLFzUetMzfvFsnvFCzTs3YJ54MgTljvQJbbtOrMX7sdedAhJqSR9VH6nX4Ofyhw7l7q4TOIyu7/cQvne1RRtDSZjUUPHkTrn2rCUlxC6Tl+qQKk99b+//e7gsRkZGa22P/zwwzzyyCPtHrNz506mTp2Ky+XCZDKxdOlShg0TVev7E/Hbf4arXvc11T8GV4fNHntpj89+6W6NVUfYv+ZVAh43+uQMMrvQPWFIy0apM+B3OXCUFmDMaDv4WhubSO51v+XoB6/gqixBn5qNeWDnW7yUWj2pF8yn6MP/o3bzt1gGj8aQ2v7ii36XE3dNBQCWpGMtKU1VR6gv2U19yW5Kd60IDkCW5eYkRyZz3KWkDJmO1hCNxhCN3+NEZ04ge9KVbQaUm+KzSB12LmW7V1K+4n2M6bmhBQNdVaXUbPiG5Fnz2l1EUJYDoSnzSQPPQmuM7fTr8FOG6JRTbg06kfJ9a0JJTtyEGSTNvARJEg3XZ5ri4mIslmPvZVptx93MgwcPZtu2bTQ0NPD++++zcOFCvv32W5Hs9CPiHeAMVr12BVXffQ5A+sh8EnInhjmirrGW7Wff6lcIeNwYMgaQdc0dXeqekBRKTAOCb2ZNB9t2X7VQGc1kX3snaXMWkHn5LV2erWMeMIyoYeNBlin9/G18Dlu7+znKCwHQmuJR644lGubEXPLOuh6NMQZZDiAH/M2rCTd3Tx23snDykOlkjZ/HyIsWdThrLm3E+RiiU/A77ZR99R6yLOOzN1G09DUa9m6lYvWydo9r2LMFV3VZcHr28PO69Br0Bo+zkZKdywFIPHsOybMuE0nOGaplFlXL7USJjkajIS8vj/Hjx/PEE08wevRonnvuuV6MVuhpokXnDGXdvSk4cwZIHz2HtD74wXUifp+HQz+8hezzYsodSsalC1GoNSc/8CcseSNo2L2Jhv3bSJxxcYddHEqNlugRp54IJp87D0fx4eCA4beeI/OKW9tM2XZVBQcLm+JaN7tLkkRc1hhiM0bicTYAzbO5JAlJklCojr2JKxRKkk+ykrVCqSJ36gJ2L3+OpkO7qN+5ntr1K/E21qOJjif53HltjvE01FGx6mMAUofOCnWrdZXH2UjR1k+JzRhJTPrwbktE5ICfw2vfIeB1o0/JJH5KZP08C31HIBDo1JgeIXKIP3fOQK7qMsq+eg+A1OHnRVySA1BXtB2/14k6KpaMeTefUpIDYModispowWdrwFF8uJujPEalN5J19S9RR8XibaileOmrbdboaZlN1VHtJ0mhRGuMRWuMRmOIQqO3oNaZW43Z6SxjTCpJA6cBUL7ifTzWWtRRsWRedVub2VgBr4fij5bgd9oxxKSRMvjU60JV7FtDbeEWyves5tjq1KevcPPHNFYcQKHWkHrB1aIlR+iUxYsXs2bNGgoLC9m5cyeLFy9m9erVXHfddeEOTehGokXnDON3Oyn++A1kn5eolMGkjzz1AaXhVHUouFhdzKgppzXQVKFSkzrnGtTmmDYtLN1NG5tI7vW/o+TTt0iYdkGbAc0t3W5eV/tdW91No48KfhMIoI1LJvuaO9qMzZFlmdIv38VVVYrSYGLQ9JvarATdWT73/2/vvuOkqs/Fj3+mb52d7b3SdmmCi1SVqqBGRFFjL+FCvNHc/NQY8WpEc0ti4FpiTyJ2I1KiERsIiih9kb4sbRvbe59+fn8MjK50dnbPzO7zfr3mBXvmlOfMwswz3/a0U3VwIwBJQ6f6bMG+ygPfUX1wA6Ah+arbTjqIWoiTqa6u5o477qCiooKIiAiGDx/OF198wWWXXaZ2aMKHJNHpQxRFoeyz97E31GAMsdBv3C0nrBYcCNobK2itLQatFsvQs5vmfTrhmTk+iOrs6EPCSL/hl50+5DsqSzHFJKI7lug4bd2f6LidDqoObfT+bLREn3QAct3Wr2je/z1otQwcfzum0BMLe56tygPf4nbaCLEkYknyzWveWFFAcZ6nSy3+0qswDxjqk/OKvuG1115TOwTRAwLvU06ct7qtX9FycDcanY4Bl9yBIej8xlmorfqQp5p3eL8hGMJ8O0vM0dJ42jVrfOHHSY61ppyi91+i+IOXvd0tPdGio9UbGDRxDvEDPNXLWw7v9RQS/ZHWwv1UHSvqmX7hNee1AvJxLqeNqgPfApA4eIpPWnM6mqo4+N3bnhWah1xE9OjJXT6nEKL3kUSnj2grOfSjD61ZhEWnqRzR+XE7HdQW5gEQdYFvF/UqX72MA6/+N61F+3163tNxtreBVkN7WSFHP3nXs83WfsL4na5SFIXWulLqS3d7twVHxJFx0bVEpnhaQY6vjA1ga6ih9OO3QVGI7TfaO57nfNUc2oLT1o4pLJpoHywS6LC1UbBuMW67lZCULBIvv0FqVwkhTkoSnT7A0drE0WMfWjGZucT1H6t2SOetrnSXZxCyOZLQjHOvmH06Wp0BFDe1m9b49LynE5Y+gKxbf4PREoOztenYVoWSHZ/QVn+0S+dWFIXW2hJKvl/Jzn/9kb1fPMehb9+mqfJgp/0SB3taQpr25eFoacRlt1L6z8W4bR2ExaSTMeq6LiURbpeTiv3rPNfKmXROiy2e6nwH17+JrdUzgDr1mrtOKFMhhBDHybtDL+dobaZk+d9xtrcQYkkk46LZAf3Nt+ZHg5B9PbMm+qKJ1H//Le1Hj9BeVkhIcqZPz38qpuh4Mm/7DeWfL6Hl0B7AMzuppbqQoTN+493vZKs3n0x7UyU1h7ZQX7oLe3ujd7tWZ8CSlIMpxNJp//CYdMLjsmipPkLt1q9xNNVjq6vCEGxmwCV3dn1VYY2GlGGXU1OYR2zWyQusni1FUSjauoKW6iNojUGkXfdvUtpBCHFakuj0YtbaSkqW/w1HcwO6kDAGXHLneU1F9hftTZW01BSCRovlLGtNnQtDuIWIIaNo3L2Z2s1rSbtujs+vcSr64FDSrv0FB1/7E/b6asJiM4lK+aGooNNhZcdH/0OIJRGNRnOslJXiXSE5tt9o4vp5XpOOxkoqC74BQKs3EZmcQ1TqcCKSBnmrsP9U0uApFFQfoT7Pc5xGp2PgJXf6ZKVsrVZHbL/RxPbr+u+s6sC31BzZ4kmerr6922fKCSECnyQ6vZS1poLCf7yA29ZBUHgMgyb9G0HhMWqH1SU1h7cAnpWGDWER3XKNmNGTady9hZbDe+moLCU4IfXMB/mQIcyMvb6a+AHjiPlRUc/myoO47B20VB856XERiT9041mSsonJHEVU6jAiEgd6uuTOICJxECGWJNobPYsWZl50PWExJy9VcS7cbhfaLnZVHee0d3B0t6dcSfykmYRn9dxsOSFE4JJEpxdy220c/fgtzxiL6HQGTvxFwM6w+rH2hgoAwrtxCrEpKo6InJE05W+n7NP3yLr9/vNejPB8aE3BALgc1k7bI1OGMnTG/6OjueaHrkeN5lj3nYZgc5x3X50hiH7jbjqn62o0GlIvuIKCb14nMftSn5QDsbc3sW/1iyQPn05MxoVd7jIt3fEJLnsHxqg4oi+8pMvxCSH6Bkl0eqGKNf/0jrEYOPGuXpHkALhddsBTKLM7JUyZRVvJQVwd7dgbant0ATqNztP68dNZVxqNhtCoFEKjUrrt2pbkHC76+R990gKjKG4Ob1qCra2eyv3fEJ0+Ao3m/M/bXH3Yu0hk0uXXB+T6T0IIdUii08s07t1G4x7PGIb+42/tVBwy0LmdnkRH283jjPQhYaRdOweDOfKki+h1J43W81/S19PLz5avupkqC771lGTQGeg//pYundftclC4eRngGYR+sirzQghxKpLo9CK2uioqVns+EJKHXoY5/vwXePNHLqcDoEe6koIT1Vln6HiLjlulRMcX2hrKKd3hWbMp7cKrCY6I79L5yvZ8ibWlBn2omfiJV/siRCFEHyLtv72E22Gn9OO3cDvsmOP7kTxkmtoh+dzxriuN4fxqLZ2vpvzvKf3ojVMW2/SlU3VdBQq308HhDe+iuF1YkocQ179rizq2NZRTnu9ZyDDxstnogrq321II0ftIotNLVH71L2w1FehCwug3/tZeOYbB23XVg4ODHa3NlH3+Ps0HdlG3dV23X+/4OjmBmuiUfP8xHU1VGILCyRrTtdWKFbeLws0fgNuNeeBwzAOG+TBSIURf0fs+Dfugpv07aNjpqd7cf8zNPln7xB+pkegYwswkTJkFQPX6T+mo6tpqxWcS6C06elMooCFr7E0Ygrq2kF9lwbe01R9FawomYep1vglQ+ITiCsx/n6JvkjE6Aa7l0F7KPnsPgKQhU7AkDlI5ou7hdru8XUc9meiAZwBsa+F+Wg7upvSfi8m87Tfdto6PRqfuYOSuShk+ncjUYYRGdm2mmrW1jtLdnwOQMOlqnxdvFedGUdxYq8tpLdxP65F8nO3dX3hWCF+RRCeANe7ZStnnSzzVm5NySBl2udohdZvjrTkAmh5OdDQaDckzfs6Ruirs9dWUrHiNjJvuRWc8+SrDXbqW9vhgZKfPz91dbG0N6E2h3lW3u5rkKIpC4ZZlKE4HoWn9sQwb44swxTlQFAVHUz3tZYW0Fh+grbAAZ3uL2mEJcV6k6ypAWWsqvElOTOYoBlx6V5eLJfoz5Ucf/Bp6vlaXLiiE9Ov+DV1wKNaqoxQvfRW3y/fJiL2pDlDnHs+HtbmGfatfIP/Ll7F3NPvknOX71tJceRCNXi9VyXuQs62Fxn15lH36Dw688iQH//Y/lH36Hk17t+Fsb0GrN2JJHkLGRdcx7IoH1Q5XBLiioiLmzJlDZmYmwcHB9OvXjwULFmC32zvto9FoTnhs2rTpnK4lLToBSFEUKtasAMVNZMoQssb+vNd/GOhNYegMQbgcVqy1lQTHJ/d4DMbIGNJnz6Vo6auEZQ7qerHLn+ioKKFpbx4A0RkjfXru7tDRXE3+mldwdDSjPUUNrXPVcHQvR3ce67KaPAtTZKxPzitO5HY6aS8rpK2ogNaiAqzVZZ2e12h1hEamEB6XSUTiIMJjM73/5p0/WblbiHO1f/9+3G43r776Kv3792fPnj3MnTuXtrY2Fi1a1GnfL7/8kiFDfqj9Fx0dfU7XkkQnADXv30F76WE0egPpudf0+iQHjq8MnExz1WGsVaWqJDrgWV+n/y9+hz7Ut2NGXHYb5auWAgoxGbmEx/ZM5fTz1d5Uyf41r+KwthAckUDOlF9iCO7a4or29iYObX4fUIgcMYGoEeN9E6zwcrQ203JoDy2H99JWcgjl2NpUx4VEJhGRMNCT2MRkoNX37FIOou+YMWMGM2bM8P6clZVFQUEBL7/88gmJTnR0NAkJ51/AVxKdAOOyW6n8+iMAkgdPxRQapXJEPSc0KpXmqsN0VB0lUsU4fjwQ2WW3Ubnmn8RdcsV5D1B22a2ULPsb1uoytKZgUkde5atQu0V7YwX5a17BaWsjxJJI9pRfdnmGlaIoFG5d4SlCm5BK4rGZbqLr7I11NB/cTcvB3bSXFQGK9zlDsJmIhAFEJAwiImFAl5NV0Xs1N3fumjaZTJhMvh2n2NTURFTUiZ9pM2fOxGq1MnDgQH73u98xc+bMczqvJDoBpmbDapytzZjCoknMmah2OD3qeJ0nazdP8T4XFauX0bQvj/ajh0m/8d8xRpxb4umyWSle9lc6yovQmoLImTjXr5cHaGsoZ//aV3Da2gmJTCZ7yjwMpq7XUqsr3kFj2V40Wh3JM27yTrMX58daXU7zwV00H9yNraai03Oh0alEpQzDkpxDcERCn2gR7qvCSxV0RuXMO56Gy+45PjU1tdP2BQsW8MQTT3Tp3D926NAhnn/++U6tOWFhYfzf//0fEyZMQKvVsnz5cmbNmsWHH354TsmOJDoBxFZXRV2eZ9G69Nxr0Or6VrOyN9GpLkdxufziwzBuwgzaywqxN9ZR9P6LpN94z1mPK3HZOihe+lc6KorRmoLJmTSPsOjUMx+oIq1Oj0ajIzQqlewpc9EbQ7p8Toe1haLvPwQgZtxlBMUmdvmcfZHidnkWtty2jo6Kkh+e0Ggxx2URmTKUyNShmEIsqsUoAldpaSlm8w9fwk7VmjN//nyeeuqp054rPz+f7Oxs789lZWXMmDGDG264gblz53q3x8TE8MADD3h/vuiiiygvL2fhwoWS6PRGngHI/wS3G0vyYCKTB6sdUo8zhUWrPiD5p4yWaDJvvo+iJS9jb6jhyJtPE3fJFUSNvPi0q1O7rB0UL3uVjooSdEHB5Ez6ZbdWJu8Kh60NvTEEjUZDsDmOnGm/whAUht7om3IMRdv+iaujjaDYJGLHTPXJOfsSl7Wdhp2bqP/+WxwtjYBn4cmIhGyiUodiSR7sk1Y30beZzeZOic6pPPjgg9x1112n3ScrK8v79/LyciZPnsz48eP561//esbzjxkzhtWrV59xvx+TRCdANB/YRVvxATQ6Pem516gdjir8ZUDyTxnCLWTcdC9H//Um7WWFVK79kKZ9eaTMvPOkXVkuaztFS1/FWlmKLjiUnEnzCI30j3v5MUVRqC3cRvH2f5GRey0xmRcCEGz23Uyo+pJd1JfsAo2WpCuky+pc2OqrqctbT+PerSgOz5RcfVAY8QPGE99/nIy3EaqIjY0lNvbs3iPKysqYPHkyubm5vP7662jPonTRjh07SEw8t1ZfSXQCgNtuo+orzwDkpJzJBIWd29S63sRfBiT/lCHMTMbN99KwcxNV61bibG9FF3zit2hnRxvFH7yCtboMXXAogyf9kpAuLrDXHWxt9RRuWU5TRQEANYXbvImOrzhsbRRt+ycAMWOmEBzvny1a/sZaW0nVNytpPZzP8YHFwZZEEgddQnTGyD7XpS0CU1lZGZMmTSI9PZ1FixZRU1Pjfe74DKs333wTo9HIyJGe5TZWrFjB4sWL+fvf/35O15JEJwDUbv0aR0sjptBIkgZPUTscVR3v3ukoL1Y5khNpNFqiRownvP8QHC2N3pWTFcVNR0UJwYnplCz3zK7ShYR5khyLf41HURQ31Qc3UrLjU9xOGxqtnpRhl/t84LuiKBRv+ycOawum6Hhix/XeVb19RVEUGnZtovKrj7wtOJakHBKyL8Uc318GFYuAsnr1ag4dOsShQ4dISen8JUdRfhhA/V//9V8UFxej1+vJzs5myZIlXH/99ed0LUl0AkDT/u8BSBk+o8+vaxEem4lGq8NaXUZr8UHC0geoHdIJDGERnaaaN+zaTMWqpYRmDKKjogStwcTgyfcQEnH+60J0h46magq3LqOl+ggAYbEZZI25kWBznM+vVXN4C3XFOzxdVjNuQquXt6LTcba1UP7FB7Qc3guAOWEgGaOu9Wk3ohA96a677jrjWJ4777yTO++8s8vXkncXP2etLsdeXw0aLZY+OAD5p4whEcT1H0vVge+oXv8JoWm/8ftvso7mBkBDW5GnG8gYZO726s9Hd6+ivmQXituF096OISiMfuNvITQyGUVRTvqaKW4nLdVH0OoMpI64iviB49FofF8lpr2xgqLtni6ruEuuICQp3efX6E1aDu2l7IsluNpb0eh0pA6/goTsS7vldyNEbySJjp+r3foVAFGpw302yyXQJQ+ZRk3hVjoqSmg5uBvzwOFqh3Ra8ZdcSWhaf4qXvgqKgrWlhj2fP0NYdDrxgyYQk+HbsS8AjWX7MIVFkzriCjRoMQSHe//9aDQaHNY2qg9vwmXvIG3kzwDPqripI64iKm14t40DczlsHPz2bRSnk7DMbGJGT+6W6/QGbruNyq8+omGXp65PsCWR/uNu9ssxXUL4M0l0/Ji9qZ6mfE+3VdLgSeoG40cMweEkDrqUsj1fUrX+U8L7D/H7gqa2uipQFIwhFsJi0mk4uofWumIMJeFdSnQ8fdnKsTGpCmg0aDRaDEHhhMdmnNA9prjdFG1bQU3hNhSXE41WR2L2RO8MnaTB3Zd4KIpC0dYVWJur0YeZSb7yFmmVOIX28mLKPnkXe2MtAAnZE0m9YIYMNBbiPEii48fq8r4BxY05foDfrrGiloScSVQd3IC9vprGPVuJHD5W7ZBOSVHc1G//FoDEwZNJGDgBR0cL1Ue2YI79YT0Ja0sthze+T2hkEiGRSQRbEgmJSEBnOPUy654uKA0/LXZuCAqjdMennqnbKMQNGEdMRi5anR5bWyOKy0lIZDIJ2Zei66GWwqqDG6gtygONhpSr70Af0rWyEb1V3fb1VK79CBQ3xpAIssbeRESC/41FEyJQSKLjp5wdbTQea7JOlNacE+gNQSQNmUbJ9n9R/d0XRORciNZgVDusk2ot3I+9oQatKYjYzFGAp1UqeUjnxfGqD22ktbaI1tqiTttNYdGEWBJJHnoZoVHJuF0OnLZ2nPZ2HNZWnLY2HNZWbK31BEfEEdd/LNEZFxIalUJ4bCYdTVWU539Ne30ZGRddR8rw6SQPmUpYbEaPjW9qrj5M8XbPEgnxl/6M0JSsMxzRNzXt/57KNZ7xS9HpI8m46FqfrD4tTu/FF19k4cKFVFZWcsEFF/D8888zevRotcMSPiKJjp9q2LEBt8NOiMVTTVicKH7AOCr3f4O9tZH677/z2/EedXnrAYjLHH3a1pn4ARMIsSTR3ljhfTg6mrG11mFrrSNpyFQc1jb2fvEstvYmdAYTWp0RncGEwRSKRqvFGOKZ7RUel+VtBQiJTEJRFMrzv8LW3tjjZSZs7Y0c2PA2uN1E5Iwk+qJJPXr9QNF+tJCyT/8BQMKgS/rswqA9bcmSJTzwwAO88sorjBkzhmeffZbp06dTUFBAXJzvZxyKnieJjh9yO+zUbfd8OCYOnuT3s4rUotUZSBk+nSObllC7+Usih49FF+RfA7ZtdVWe2VYaDfEDJ5x2X1NYFKawzispO6yt3qQnOCIerc7A8J/97oxjNbTHxiy5nQ60egNB5hjcTge43V27oXPkdjk4+M2buNpbCYpNImn6z+Xf80nYGmoo+XAxistJZMpQ0kZerXZIfcbTTz/N3LlzufvuuwF45ZVX+OSTT1i8eDHz589XOTrhCzIS0A817t2Gq70VY2gkUWkXqB2OX4vJyCU4Ih6XtYPaLWvVDucEx1tzIpOHnNdMJkNQGBEJA0jMvhSd3ohGo/EmOYqi/OThSWIUtwtbWyMAWr0Bxe2i6sB36I3BmMKiOi3G1Z2ODz5uqy9FFxRC6qy7/bZ7UU3O9lZKlv0NV0cboVGp9Bt/y2nrpAnfsdvt5OXlMW3aNO82rVbLtGnT2Lhxo4qRCV+SFh0/1JS/HfA0X2v9fDaR2jRaLSnDr+Dg+jeo27YO86AL/KaUgLO9lca9WwFIGHSxz89/YsuI52dFUWgo20vtka24HDYUxU1IZBL9L77tFMd1j9rCbdQc2eodfGy09N3SJafi7GijeOmr2BtrMYZGMmjiL9DpJRnsqubm5k4/m0ymk1bbrq2txeVyER8f32l7fHw8+/fv79YYRc+RRMcPOZrqAQiPkYXUzkZkyhAsyYNpLNtHyT8Xk3Xb/8MQduYqu92tfvt6FKfDMyg4rl+PXVer02NJHERQeAw6vQlDUBiG4HB0+lOPD/K1jqZqCvOOLQo4YQZhGTLO7Kc8Fez/6i0Jkj1pbp8vxBla4UZvOP/uVafDc2xqaudxaAsWLOCJJ57oSmgigEmi42cUtxtHq+fbiDHEom4wAUKj0dBv3M3sXfUXrM01lH74Ohk3/UrVchkuu5X67z1TypMGT+nxcSlB4TEEhcf06DWPczsdHPrubRSHndC0AcSMmXrmg/oYl81K8bIfKtgPnvRLgiNk4KuvlJaWYjb/8GXnZK05ADExMeh0Oqqqqjptr6qq8haWFIFPOoL9jLOtGRQ3HFv0TZwdvTGYQZf+Aq0pmI6KYspXLe2xsSgn07BzEy5rB0HhsUSmDFUtDjUUf/8x7Y0V6ELCSL7qVhlv8hMuu42S5X+jo6IEXVAIOX5Y3DXQmc3mTo9TJTpGo5Hc3FzWrFnj3eZ2u1mzZg3jxo3rqXBFN5N3ID/jaGkCwBhslg+IcxRkjmXg+NtBo6Vp7zbqtn6tShxup5O6bZ5rJw6e3Kd+j/Wlu6k+uAGAlCtv8YsuRH+iKAqlH71Be1khWlMwOZPmESolHVT1wAMP8Le//Y0333yT/Px8/v3f/522tjbvLCwR+KTrys84WxoBvOuhiHMTkTiQ9AtnUpz3IVXrVmKKiSc8q2eLoTbt24aztRlDcES31LHyV+2NlRze8gEA0aMnE5aZrXJE/qdxz1baigrQGIzkTJorK577gZ///OfU1NTw+OOPU1lZyYgRI/j8889PGKAsAlff+aoZIBytx1p0JNE5b/EDJxDbbwygcPTjdzx1pnqI4nZTu8VTiDUx+1K0ur7xXcLaWsf+r/6K29ZBcFIG8RdfqXZIfsfZ3krV1/8CIHXo5YRFp6kckTjuvvvuo7i4GJvNxubNmxkzZozaIQkfkkTHzzi8LToWVeMIZBqNhoxR1xIel4XbbqVkxd9xdrT1yLWbD+7G3lCDzhhMXH//rb/lS/b2JvaveQVHRzOmmATSrpuDRifLIvxU1dcf47K2E2JJJH7QJWqHI0SfIYmOn5FExze0Oj0DLr4DU2gk9sY6jv7rLRSXq1uvqSgKtZs9gxoTBl582nIPvYXD2kr+2lextTVgtMSQfsM96IND1Q7L77SVHDq2ppKGjNHXy/pYQvSggEl06uvrufXWWzGbzVgsFubMmUNra+tpj7Fardx7771ER0cTFhbG7NmzO00j3LlzJzfffDOpqakEBweTk5PDc8891923clrOFum68hVDUBgDL/WsxttWcpCKtf/s1plYbSUHsVYdRWMwEj/Q9wsE+hu3y0HB169hba5GH24h/cZ7ZPDxSbjtNspXLQUgrv9YWR9LiB4WMInOrbfeyt69e1m9ejUrV67km2++Yd68eac95v777+fjjz9m6dKlrFu3jvLycq677jrv83l5ecTFxfHOO++wd+9eHn30UR555BFeeOGF7r4d0UNCIpPoN+4WQEPDjg2Uf/Y+LrutW67VuHsLALEZuRiCen+rRnHevzzlHYJDybjxHowRUWc+qA+qWPNP7A01GILNpI6QsUtC9LSAGCmZn5/P559/ztatWxk1ahQAzz//PFdeeSWLFi0iKenE6ZlNTU289tprvPfee0yZMgWA119/nZycHDZt2sTYsWP5xS9+0emYrKwsNm7cyIoVK7jvvvu6/8ZOQn/sG7Gjo/kMe4qzFZUylPRRsyjO+5DGvVtprygm9eo7CIrz3bReZ3srzQd3AxCbeZHPzuuvagvzqD60EdCQctWtmKJksbuTady7jcY9W0Cjof/4W9Ab/avorBB9QUC06GzcuBGLxeJNcgCmTZuGVqtl8+bNJz0mLy8Ph8PRqVhbdnY2aWlppy3W1tTURFTU6b+Z2mw2mpubOz18RR/m6bKytzf57JwCEgZOIGfKPRiCzdjrqznyzrPUf/+dT7qyWo7s4/Abi1CcDoLMcYRGp575oADW3ljJkW3LAYgdf5lMIz8FW301FauXAZA8ZBrm+P4qRyRE3xQQiU5lZSVxcZ2/Mer1eqKioqisrDzlMUajEYvF0ml7fHz8KY/ZsGEDS5YsOWOX2B//+EciIiK8j5/WVemK42Mc7NKi43Pm+H4Mu+JBLEk5KC4nFV8u5+i/3sRl7Tiv87nsVsq/+ICS5X/H2dZMkDmOARNu6/FyDz3J5bBx8Nu3POUd0gcSO+5ytUPyS26ng6Mfv43bYSc8rh/JQy9TOyQh+ixVE5358+ej0WhO++ipCrJ79uzhmmuuYcGCBVx++enfvB955BGampq8j9LSUp/FcbxFx9EhLTrdwRAUysCJvyDtwplotDqaD+zi8JuLaC8vOqfztJUe5vAbi2jYtQnwVJofNuN+QnrxKreKolC4Zaln8HFYBCk/u61Prfp8Lqq+/penWGdwKP3H3yKvkxAqUnWMzoMPPshdd9112n2ysrJISEigurq603an00l9ff0pC68lJCRgt9tpbGzs1KpzsmJt+/btY+rUqcybN4/HHnvsjHGbTKZT1k7pKsPxritp0ek2Go2GxOxLCY/N5NB372BrrqPwHy8Qd/EVRA4djS4k7JStMm6Hner1n1GX9w2gYAyNpN/Yn/f6bgnF7aJo2z+pK94BWi2pM+9AHxKmdlh+qfnALuq//w6A/mNukhmUQqhM1UQnNjaW2NjYM+43btw4GhsbycvLIzc3F4C1a9fidrtPuYJlbm4uBoOBNWvWMHv2bAAKCgooKSnpVKxt7969TJkyhTvvvJP/+Z//8cFddY0+/PgYHUl0ultYdCpDr7ifoi3LqCveQfU3n1D9zSdojSaMkbEYI2MwRcZ6/664XFSsXuZdaTm232jSLpyJ3hCk8p10L5fTxqFv36GxPB/QkHTZ9YQkZ6odll9ydrRR/sUSABJzJmJJylE5IiFEQMy6ysnJYcaMGcydO5dXXnkFh8PBfffdx0033eSdcVVWVsbUqVN56623GD16NBEREcyZM4cHHniAqKgozGYzv/71rxk3bhxjx3pWrN2zZw9Tpkxh+vTpPPDAA96xOzqd7qwSsO5gCPWM0XE7bbgcVnS9/ENUbXpDEP3G34o5YQDle9dia63HbbdhrTqKteroSY8xBIWTOeYGIpN7toaWGhwdLRSsW0xbfSkavZ6Uq27DPHC42mH5rdrNa3BZOwi2JJIy/Aq1wxFCECCJDsC7777Lfffdx9SpU9FqtcyePZu//OUv3ucdDgcFBQW0t7d7tz3zzDPefW02G9OnT+ell17yPr9s2TJqamp45513eOedd7zb09PTKSoq6pH7+imt0YTWFITbZsXe0UywJDrdTqPRENdvDHH9xuB2ObC21mFtrsXaUoO1pdb7cNpaiUodTvqoWRhMvX+dHGtLLfu/+hu21jp0waGkXTuHkOQMtcPyW46WRuq3fwtA2gVX9pk6Z0L4u4D5nxgVFcV77713yuczMjJOmCocFBTEiy++yIsvvnjSY5544gmeeOIJX4bpE4ZwCzZbJR1NVQSbZX2SnqTVGQiJSCAk4sSxX4riRqPpG4NKHdZWb5JjiIgm/fq5slbOGVR+/S8Ul5Pw2EwikmTKvRD+om+8aweY0LQBADSW7VM5EvFjfSXJcbscHPjm9WNJThSZt/xakpwzaDmST/P+HaDRkJ47q1cvMSBEoOkb79wBJrz/UAAayvahuN0qRyP6EkVxc3jjElpri9GagkmfPVfqV52B22Gn4kvPAooJgy4hNCpZ5YiEED8miY4fCk3JQhcUjNPWRkttkdrhiD7k6M7PqS/ZgUarI23W3Zii49UOye/VbFiFo6keY4iFlGHT1Q5HCPETkuj4IY1OR1iWZ0ZPw9G9Kkcj+gKX005x3keU71sLQNL0GwlN691rA/mCtaac2m1fA5Ax6lp0hu5ZX0sIcf4k0fFT3u6ro3t8Uo9JiFNpqSliz2dPU1mwHoDYCTOwDO39hUm7SlHclH+xFNxuIlOHEZkyRO2QhBAnETCzrvqasMxBaHR6bK11dDRVEWI5+QrQQpwvt8vB0V2fU5HvWeVZHxZB0vQbCc+SRe7ORsPOTXRUFKM1msjInaV2OEKIU5BEx0/pjEGEpg+g9Ug+DWV7JdERPtVaW8LhTe9jbfaUVrEMvYiEybPQBQWrHFlgcLQ2U/XNSgBSh10hZR6E8GPSdeXHftx9JYQvuF1OSnd8yt7Vz3uKc4aGk3btHJKvuFmSnHNQ+dWHuG1WQqNSiB8wXu1whAhIM2fOJC0tjaCgIBITE7n99tspLy/vtM+uXbu45JJLCAoKIjU1lT//+c/nfB1JdPxYeL8hgIa2ulJsbfVqhyMCnNPWzr4vX/IMOFYUInIupN/dvyO8v4wtORctR/Z518zJHH2DVCYX4jxNnjyZDz74gIKCApYvX87hw4e5/vrrvc83Nzdz+eWXk56eTl5eHgsXLuSJJ57gr3/96zldR7qu/JghzExoWn/aSg5SvvcrMkfPVjskEYAURaG2MI+SHStxWlvRBYWQNP1GqVl1Hlx2K+WrlgGyZo4QXXX//fd7/56ens78+fOZNWsWDocDg8HAu+++i91uZ/HixRiNRoYMGcKOHTt4+umnmTdv3llfR76K+LnY8ZcDUFO4Baet/Qx7C9FZe2MF+Wte5sim93FaWzFGxZFx068kyTlPdVu+wtnSiCksmpThM9QOR4ge09zc3Olhs9l8ev76+nreffddxo8fj8FgAGDjxo1ceumlGI1G737Tp0+noKCAhoaGsz63tOj4udDUfphiE7HVVFBXskPGA4iz4nLYKNuzioqC9eB2ozEYiR13GdGjJkqxyfPkaG2idts6ANJGXIVObzzDEUKoy1xoQ6/vWjkSp9OT0KSmpnbavmDBAp/Uinz44Yd54YUXaG9vZ+zYsaxcudL7XGVlJZmZmZ32j4+P9z4XGRl5VteQFp0AYBniWdOktnC7ypEIf6coCvUlu9j1yZ+pyF8Hbjfh/YfS/+7fETtmqiQ5XVDz3RcoDjthMelEpg5TOxwhelRpaSlNTU3exyOPPHLS/ebPn49GozntY//+/d79H3roIb7//ntWrVqFTqfjjjvu8PnacfKuFwAici6kat3HtNYWYW2pJSg8Ru2QhJ9RFDettSWU7VlNU0UBAIaIKBKnXkd4v8EqRxf4rLWVNOzeDEDayJ9J0U7R55jNZszmM9e9e/DBB7nrrrtOu09WVpb37zExMcTExDBw4EBycnJITU1l06ZNjBs3joSEBKqqqjode/znhISzX3JFEp0AYAgzE5o+kLaiAmqLtpMy7HK1QxJ+wO120VJ9hPrS3TQc3YOjoxnwlBCJGT2FmDFT0Rqke8UXqr5ZCYpCZMpQwmMzz3yAEH1UbGwssbGx53Ws+1gR6+Pjf8aNG8ejjz7qHZwMsHr1agYNGnTW3VYgiU7AsAzO9SQ6hXkkD71MvlH2UW6Xg6aKA9Qf3U3j0X047T8MUNcaTYT3G0Ls+MsxRcWpGGXv0lZyiNbD+0CjJXXElWqHI0SvsHnzZrZu3crFF19MZGQkhw8f5ve//z39+vVj3LhxANxyyy08+eSTzJkzh4cffpg9e/bw3HPP8cwzz5zTtSTRCRDmAcOoMBixtdbRWltMeGyG2iGJbqYoCra2etrry2hrKKOt/igtNYW4nXbvPrrgUML7D8U8cBihaQPR6uW/tC8pipvKdR8DENd/DMFmSSCF8IWQkBBWrFjBggULaGtrIzExkRkzZvDYY49hMnmK40ZERLBq1SruvfdecnNziYmJ4fHHHz+nqeUgiU7A0BpNhA8YTtO+bdQW5kmi00vZ2hqoObKVlupC2hqO4rJ3nLCPPtyCecAwzAOGEZKSiUarUyHSvqG5YCfWylK0BiMpQ6XLuC+bOXMmO3bsoLq6msjISKZNm8ZTTz1FUlKS2qEFpGHDhrF27doz7jd8+HDWr1/fpWtJohNALENG0bRvGzVF20gaMhlTaJTaIYkuUhQFa0sNjeX7aSzbR3PVYeCHGQcarQ5TbCJB8ckEx6UQnJhGUHyKdF32ALfdRtXXntacxOxJGILDVY5IqGny5Mn853/+J4mJiZSVlfHb3/6W66+/ng0bNqgdmjgDSXQCSGj6AEJS+9FeepjivI8YeOndaockzoPb6aC5+jCN5fk0lu/H1lrX6fnQtP6Ys0cSnJCKKSZBpoSrpGbTlzhaGjGGRpKYM0ntcITKzrSKr/Bf8g4aQDQaDYnTZnP4zUU0HN1Lw9G9RKZInaJA4HY5qC3aTkPpHpqqD6E4Hd7nNDodISn9CM/KIbzfEIyRsnyA2mz11dRt/RqA9NxrZHFA0cnJVvEV/ksSnQATFJNAzKhJ1G5ZS3Heh5gTBsibsB9zOW1UH9xExf513unf4BlnE56ZTVjWYELTB6AzmlSMUvyYoihUfLkCxe3CkpRNZLJ8mQg0zc3NnX42mUzeAa5dcbpVfIX/kkQnAMWOu4ym/O3YWhoo37uG1AuuUDsk8RNOewdVB76jsuAbb40yfbiFqBHjCc8ajCk2UcbZ+KnmAztpKz6ARqcnPXeW/J56UHhRB3r9+a+K63RagbMvVzB//nyeeuqp054zPz+f7OxswLOK75w5cyguLubJJ5/kjjvuYOXKlfJvxM9JohOAtEYTCVOvpfTD16nI/5qYzFyZ9uonHNY2Kgu+ofLgd7jtnjddoyWamDFTiRgySsbb+DmX3Ubl2o8ASMqZLKuQB6jS0tJOq/ieqjXHl6v4Cv8l77oBKrz/UMKyBtN6ZB9FW1eQPeWX8q1CRS6njaO7VlF1eCOKw7POjSkmwZPgZI+QKeABonbzGpytTZhCo0gaPEXtcMR5OttyBb5cxVf4L0l0ApRGoyFx6rUcKjlAc9Uh6op3EJMxUu2w+qSO5hoOrn+DjiZPDZag+BRix04jfMBQNBqpmxso7M0N1G37GoC0C69Gq5dBpsLjbFbxFf5L3oUDmNESTezYywAo2f4vXA6ryhH1PfWlu9mz6lk6mqrQh4aTdt0csm6/H/PA4ZLkBJjqbz5BcToJj8siMmWo2uEIP3J8Fd+pU6cyaNAg5syZw/Dhw1m3bp1PBjmL7iUtOgEu+qLJNO7Zir2xlqO7V5F+4Uy1Q+ozKvZ/Q8n2fwEQkpxJysw7MYSdublc+J/2imKa8rcDGtIvnCndwKKTs13FV/gn+coZ4LR6PQmTrwGgcv83NJTtUzmivuHHSU5U7iVk/PxXkuQEKEVRvAOQYzIvJDQqReWIhBC+JIlOLxDefwhRF14MwOHN72Nra1Q3oF7ux0lOzLjLSJg8C41OBhsHquYDu+goL0KjN5B6gVQnF6K3kUSnl4ifOJOg+BRc1nYOffcObrdL7ZB6pU5JzthpxE2YId0cAcztdFJ1rDp5UvYkjCERKkckhPA1SXR6Ca1eT+rMO9Eag2itLeLozs/UDqnXqdy/vnOSc/EVkuQEuPrt63E01WMINpM4eJLa4QghuoEkOr2I0RJN8oyfA1CR/7WM1/GhivyvKd5+bByHJDm9grO9lZpNqwFIHT4DnV5mzwjRG0mi08uYB10g43V8SFEUSnd+Rsn3npo2kuT0HjUbVuG2WQmJTCImc5Ta4QghuokkOr1Q/MSZBCWkynidLlIUN8V5H1G+dw0AcZdeRfwlV0qS0wvY6qqo37EBgLSRV6PRyluhEL2V/O/uhbR6PalX34HWJON1zpfidnFk0wdUHfgWgMRps4kdM1XlqISvVK77GBQ3luQhRCQMUDscIUQ3kkSnl/KM17kJODZe5+helSMKHIrbxcHv3qG2cBtotCRfeQtRIyeoHZbwkdbiA7Qe3gdaLWkjr1I7HCFEN5NEpxczDxxO1IWXAHBw47s0Vx1SOSL/pygKhVtX0FC6G41OR+o1d2IZIuM3egtFUahe/ykA8f3HEWyOUzkiIUR3k0Snl4ufdDVhmdkoDjv7171GU+VBtUPya+V711BzeDNoNKTMvBPzgGFqhyR8qK2ogI6KEjR6A8lDpqkdjhCiB0ii08tpdXpSZ93tSXacDgq+eY3GigK1w/JLNUe2cnTX5wAkTr0Oc38p7NibKIpC9YZVAMT3G4chOFzliIQQPUESnT5AqzeQOusXhGUNRnE6OfDN6zSW71c7LL9SX7qHI1uWAhAzeoqMyemF2ooOHCv1oJfFAYXoQyTR6SO0ej2p19xFeP+hKC4nB9a/LgsK4plCXrZ7NQfXvwFuNxE5I4m7VOod9Tae1pwvAE9rjjFYCrAK0VdIotOHaPV6UmbeQfiAYSguFwfXv0n90T1qh6Ual8PGwW/f5uhuzwdg1MgJJF9xCxqN/LfobdqKD/6oNWey2uEIIXqQvKP3MVqdZ40d86ARnmnU375FfelutcPqcdbWOvauet4zu0qrI2n6jSROmy1VyHshRVGoOdaaE5c1VlpzhOhjJNHpgzQ6HSk/u5WInJHgdnPw27epK96hdlg9pqnyAHtWPUtHUyX60HAybvoVkcPHqh2W6CZtJQdpLytEo9OTJK05QvQ5erUDEOrQaHUkX3kraHQ07dvGoQ3v4rC2Ej9wQq8tcaAoCpUF6yn5/mNQFIITUkmddTeGcIvaoYlu4mnN8cy0ius3FmNIhMoRCSF6miQ6fZhGqyX5ipvQ6LQ07t5Ccd6HtNQcIXP0DeiNwWqH51OKolC6YyUV+esAsAy5iMTLr0erN6gcmehO7aWHaD96BI1OJ605QvRRkuj0cRqtlqTpP8cUk0jVuo+pL9lFW30Z/SfcSlh0mtrh+YTLaafk+5VUH/QUcYyfNJPoURN7bcuV+MHxdXPissZIa44QfZSM0RFoNBpiRk0k8+ZfY4iIwtZax77VL1KRvw5FUdQOr0taqgvZ/enT3iQnYcosYi6aJElOH9BWepj20sNodDoSh0xROxwhhEok0RFeIUnp9LvjQcwDh6O4XZR8/zEH1i3GYW1TO7Rz5nLaKc77iH1fvoSttRZ9WARps/+N6NxL1Q5N9JDjY3NiM0djCrGoG4wQQjXSdSU60QUFkzLzThp2bKDyq49oLM9n92dP03/CLZjj+qkd3llprj7CkU1LsLXWAWAZNpqESdegC+pd447EqbUfLaSt5CBotSQNkbE5QvRlkuiIE2g0GqJGTiAkOYPSj9/GXl9N/ppXiMm4kITsiYRGJqkd4km5nDZKd3xG1YHvAAV9uIWk6TcQnpmjdmiih9VsPN6acxGm0CiVoxFCqEkSHXFKQXHJ9Lv9firWrKBxz1ZqC/OoLczDHD+AxJxLiUgc5BerCLtdThrL91Py/cc/asUZQ8LkmehM0orT17SXF9NaVAAaLUkyNkeIPk8SHXFaWqOJ5CtuJnLEeOq2raO5YBfNVQdprjpIkDmOxOyJxGReiFbXs9O0FUWhtbaY2qLt1JfswGlrB0AfbiF5+o2EZWb3aDzCf9RsXA1AbGYuQWHRKkcjhDiVmTNnsmPHDqqrq4mMjGTatGk89dRTJCV5eg2KiorIzMw84biNGzcyduzZL/IqiY44KyGJ6YRcfQf2S+up376ehl2bsDZXU7hlKaU7PyV+4ASi00cQFB7brTOarC21npalou3e1hsAfWg4EYNHETtumrTi9GEdlaW0HtkHGg1JQ6aqHY4Q4jQmT57Mf/7nf5KYmEhZWRm//e1vuf7669mwYUOn/b788kuGDBni/Tk6+ty+wEiiI86JMSKKhMnXEDt+Og27NlG/fT2O5gbKdq+ibPcqDEHhhMf1w5I0CEtSNoag8C5dT1HcWJtraKkppObwVlrrir3PaQ1GwgcMxzI4l9D0/mi0Uqeqr6v+zlPTKib9QoLCY1SORghxOvfff7/37+np6cyfP59Zs2bhcDgwGH7oJYiOjiYhIeG8ryOJjjgvOlMQMRdNIjr3EpoP7KZh50baywpxWFuoL9lBfckOAEKjUrEkZWNJyiEoIg6dzohGe+pxPQ5rK611JbTWltBaV0xbXSkuh/WHHTQawjIGETE4F3P/oWiNpm6+UxEorDUVx1pztCQPnaZ2OEKIc1BfX8+7777L+PHjOyU54OnislqtDBw4kN/97nfMnDnznM4tiY7oEo1WR0T2CCKyR+B2OuioKKGt+AAtR/KxVh2lrb6UtvpSyvas/uEYnR6d3oROb0SrN6HTm9Dqjdja6jt1R3n3NxgJjk8hLGMQlmFjMIRJ9Wlxovod3wEQmTKEIHOsytEI0bs0Nzd3+tlkMmEydf2L5sMPP8wLL7xAe3s7Y8eOZeXKld7nwsLC+L//+z8mTJiAVqtl+fLlzJo1iw8//PCckh1JdITPaPUGQlP7EZraj7iLr8DR2kxr4X5aj+TTWlSA2+5pmVFcTpwuJ07byRciNEbFEZKUTnCi5xEUmyDdUuK0XDYrTXvzAIgfMF7laERv9cknn/CHP/yBXbt2ERQUxMSJE/nwww/VDuuUjAfK0WuNXTqH1m0HIDU1tdP2BQsW8MQTT5yw//z583nqqadOe878/Hyysz0TRh566CHmzJlDcXExTz75JHfccQcrV670rNgfE8MDDzzgPe6iiy6ivLychQsXSqIj/IMhzEzksNFEDhuNoigoTgduh93zsNtwO2y47cd+dtjQB4cRnJgmC/uJc9a4dytuh40gcxzm+P5qhyN6oeXLlzN37lz+93//lylTpuB0OtmzZ4/aYfWY0tJSzOYfWtNP1Zrz4IMPctddd532XFlZWd6/x8TEEBMTw8CBA8nJySE1NZVNmzYxbty4kx47ZswYVq9efdLnTkUSHdEjNBoNGoMRraFr3y6E+ClFUWjYcaxg64DxUsdM+JzT6eQ3v/kNCxcuZM6cOd7tgwcPVjGqnmU2mzslOqcSGxtLbOz5dR273W4AbDbbKffZsWMHiYmJ53ReSXSEEAGtvfQQtroqtAYTMVmj1A5H9ELbt2+nrKwMrVbLyJEjqaysZMSIESxcuJChQ4eqHV5A2rx5M1u3buXiiy8mMjKSw4cP8/vf/55+/fp5W3PefPNNjEYjI0eOBGDFihUsXryYv//97+d0LfWXtT1L9fX13HrrrZjNZiwWC3PmzKG1tfW0x1itVu69916io6MJCwtj9uzZVFVVnXTfuro6UlJS0Gg0NDY2dsMdCCG6Q/33nkHIMRkXojcEqRyN8AfNzc2dHqdrITgbR44cAeCJJ57gscceY+XKlURGRjJp0iTq6+t9EXKfExISwooVK5g6dSqDBg1izpw5DB8+nHXr1nXqFvuv//ovcnNzGTNmDB999BFLlizh7rvvPqdrBUyLzq233kpFRQWrV6/G4XBw9913M2/ePN57771THnP//ffzySefsHTpUiIiIrjvvvu47rrr+O67707Y9/iLXFZW1p23IYTwIUdLI80HPeMkZBBy4NMXVnRt8Gw3DZw93qXy6KOPMnv2bABef/11UlJSWLp0Kb/85S/PP+Y+atiwYaxdu/a0+9x5553ceeedXb5WQCQ6+fn5fP7552zdupVRozxN088//zxXXnklixYt8i4X/WNNTU289tprvPfee0yZ4ql38/rrr5OTk8OmTZs6LR/98ssv09jYyOOPP85nn33WMzclhOiyhp0bQXETHpdFiOXc+u1F7+XrgbMVFRVA5zE5JpOJrKwsSkpKuh6w6FYBkehs3LgRi8XiTXIApk2bhlarZfPmzVx77bUnHJOXl4fD4WDatB8WDsvOziYtLa1TnYx9+/bxhz/8gc2bN3ubJ4UQ/s/tctKwaxMgrTmiM18PnM3NzcVkMlFQUMDFF18MgMPhoKioiPT09C7HK7pXQCQ6lZWVxMXFddqm1+uJioqisrLylMcYjUYsFkun7fHx8d5jbDYbN998MwsXLiQtLe2sEx2bzdapz/enCykJIbpfc8FOnG0tGILNRKYOUzsc0YuZzWbuueceFixYQGpqKunp6SxcuBCAG264QeXoxJmoOhh5/vz5nmnHp3ns37+/267/yCOPkJOTw2233XZOx/3xj38kIiLC+/hpf7AQovuF9x9K4mXXkzJ8OlpZUFJ0s4ULF3LTTTdx++23c9FFF1FcXMzatWuJjIxUOzRxBqq26Jxt/2hCQgLV1dWdtjudTurr609Z6CshIQG73U5jY2OnVp2qqirvMWvXrmX37t0sW7YM8KzHAZ4FjB599FGefPLJk577kUce6bRaY3NzsyQ7QvQwndFE1IjxhJW51Q5F9AEGg4FFixaxaNEitUMR50jVROds+0fHjRtHY2MjeXl55ObmAp4kxe12M2bMmJMek5ubi8FgYM2aNd5R8gUFBZSUlHjn6C9fvpyOjg7vMVu3buUXv/gF69evp1+/fqeMx1c1PoQQXSNJjhDiTAJijE5OTg4zZsxg7ty5vPLKKzgcDu677z5uuukm74yrsrIypk6dyltvvcXo0aOJiIhgzpw5PPDAA0RFRWE2m/n1r3/NuHHjvAORf5rM1NbWeq/307E9QgghhAg8AZHoALz77rvcd999TJ06Fa1Wy+zZs/nLX/7ifd7hcFBQUEB7e7t32zPPPOPd12azMX36dF566SU1whdCdIHb6USr7/x2Ja05QoizETCJTlRU1GkXB8zIyPCOsTkuKCiIF198kRdffPGsrjFp0qQTziGEUI+1upzW4gNYa8pRXC6iRk4gNCXrzAcKIcQxAZPoCCH6ntKP3yIoJhGjJRpHSyNFS14iOD6FrOHXQrRMABBCnJkkOkIIv9SwZwtavYHUa+5EUdxoNFriJ82kat1K8te8QurwGcQPmgBopGK5EOKUAqaopxCib1FcLnRBwbhsVjQaLYrixhBmJuWqW0i/8GrqSnficlglyRFCnJYkOkIIvxSemY3bYaf5wE6AY8mOQliZm5jMXDRoaKo8qHKUQgh/J4mOEMLvKIqCPjyCiJwLqfhyOcXL/4a1pgKNRoPb7UKrM9DeWEFQWLTaoQoh/JyM0RFC+B1Pd5SG6NxLCcvKoXLthxx+YxERiQPRGUzY25sxx/cnNCpF7VCFEH5OEh0hhF8zRcaSPnsutvpq2jZsRKPVE5ORS3hsptqhCSECgCQ6QoiAYIqKI3rk1SiKIgOQhRBnTcboCCECwvGVkCXJEUKcC0l0hBBCCNFrSdeVEMJvNR/cQ922r0nOvARSh6kdjhAiAEmLjhDCbzXs3ED70SO01harHYo4pq2+jCMHP1M7DCHOmrToCCH8kq2uitbC/YCGuP5j1Q5HANbWOgq+/jsOa4vaoQhx1qRFRwjhl+ryvgEgMmUwQeExKkcjHNY2Cr7yJDnG6Hi1wxHirEmiI4TwO872Vhr3bgMgYdClKkcjAI7u+gxrSw0GcySps+5WOxwhzpp0XQkh/E7Dzo0oTgchkcmEx2WpHU6fc7K1iqKumon1Cytx46ejDzWrFJkQ504SHSGEX3G7nNR//x0AidmXyro5PcjpsKI3BKEobjQanXd7a7IWHUGkXn0HAC6bVa0QhThnkugIIfxK8/4dONuaMQSbiUq7QO1w+oy6kp1UFXyLVm/EFBZFYvZEgsJjaE2WEQ4isMm/YCGE31AUhbpt6wCIHzgBrU6+i/WEhqN7ObLpAxIGXYIlMRuX3creVc9TF1SjdmhCdJkkOkIIv9F+9DDW6jI0eoNMKe9BbfVHickYSVTacBKyLyFr7M8JzRpE0Qev4LK2qx2eEF0iiY4Qwm8cb82JzcjFYApVOZreT1EU799dDitulxOA9jQjKT+7DaMlmpIPX1crPCF8QhIdIYRfsNZW0nJoL6CRKeU95PhA72BLAk2VB+loqqQ1WYvidgGQdPkNuKzttBYfVDNMIbpEEh0hhF+o3bwWgMjUoQRHxKkcTd8SnXYBEYmDOLj+LZwdbWi0nhlX+tBwNBotGq3MfBOBSxIdIYTq7E31NOVvByBp8BSVo+mb+o39ObpIC0VLXsJaXY6iuEGjxe10qB2aEF0iUxqEEKqr2/oVKG7MCQMIi05VO5w+qS3VQMZN91Ky/G+UffYPNHoDjqZ6InIuJDS1v9rhCXHeJNERQqjK2dZCw+7NgLTmqOX4WjkajYa02XPpKC/G2dGKzmgiNG2AytEJ0TXSdSWEUFVd3jcoTieh0amY46XloKcobhf1pXtOWBBQo9EQkpyBuf9QSXJ+ZPv27Vx22WVYLBaio6OZN28era2taofVK9hsNkaMGIFGo2HHjh2dntu1axeXXHIJQUFBpKam8uc///mczy+JjhBCNS5bh7fcQ9LgqVLuoYcoikLhlmUcXP8G1d9+rnY4fq+8vJxp06bRv39/Nm/ezOeff87evXu566671A6tV/jd735HUlLSCdubm5u5/PLLSU9PJy8vj4ULF/LEE0/w17/+9ZzOL11XQgjV1O/YgNtuJTginsiUwWqH0ycoikLpjpXUHNkKGg1B8clqh+T3Vq5cicFg4MUXX0Sr9bQPvPLKKwwfPpxDhw7Rv7+0RJ6vzz77jFWrVrF8+XI+++yzTs+9++672O12Fi9ejNFoZMiQIezYsYOnn36aefPmnfU1pEVHCKEKt8PuXSAwMWcyGo28HfWEsj2rqcj3vO5J03+OecAwlSPyfzabDaPR6E1yAIKDgwH49ttv1Qor4FVVVTF37lzefvttQkJCTnh+48aNXHrppRiNRu+26dOnU1BQQENDw1lfR1p0fOD46qJS0VeIs+dsbyEkORNb+VEsyTk4HfL/pyfYzZ7uwdiLr8A8cPh5vW8dP+bHKyv7glOxg7uLx+Pp8vgxk8mEyWQ67/NOmTKFBx54gIULF/Kb3/yGtrY25s+fD0BFRcX5B9zNuvp6es+B719TRVG46667uOeeexg1ahRFRUUn7FNZWUlmZmanbfHx8d7nIiMjz/piootKS0sVQB7ykIc8+tSjtLTUJ++hHR0dSkJCgk9iCgsLO2HbggULTnrdhx9++Izny8/PVxRFUd59910lPj5e0el0itFoVH77298q8fHxyp/+9CefvAa+5MvXs7te0+eee06ZMGGC4nQ6FUVRlMLCQgVQvv/+e++5LrvsMmXevHmdzr93714FUPbt23fWr4dGUXyckvdBbreb8vJywsPDe3wwZXNzM6mpqZSWlmI2m3v02v6gL99/X7536Nv3r/a9K4pCS0sLSUlJnbpzusJqtWK327t8HkVRTngfPlXrQ01NDXV1dac9X1ZWVqeuk6qqKkJDQ9FoNJjNZt5//31uuOGGLsfta756PaF7XtMbb7yRjz/+uNN5XS4XOp2OW2+9lTfffJM77riD5uZmPvzwQ+8+X331FVOmTKG+vv6sW3Sk68oHtFotKSkpqsZgNpv73Jv9j/Xl++/L9w59+/7VvPeIiAifni8oKIigoCCfnvNMYmNjiY2NPadjjnedLF68mKCgIC677LLuCK3L1Hg94exf07/85S/893//t/fn8vJypk+fzpIlSxgzZgwA48aN49FHH8XhcGAwGABYvXo1gwYNOvtuKyTREUIIIc7ohRdeYPz48YSFhbF69Woeeugh/vSnP2GxWNQOLSClpaV1+jksLAyAfv36eRsObrnlFp588knmzJnDww8/zJ49e3juued45plnzulakugIIYQQZ7BlyxYWLFhAa2sr2dnZvPrqq9x+++1qh9WrRUREsGrVKu69915yc3OJiYnh8ccfP6ep5SCJTsAzmUwsWLCgS6PfA1lfvv++fO/Qt++/L9+7Wt566y21Q+jVMjIyTjqLb/jw4axfv75L55bByEIIIYTotWSFLiGEEEL0WpLoCCGEEKLXkkRHCCGEEL2WJDpCCCGE6LUk0QkA9fX13HrrrZjNZiwWC3PmzKG1tfW0x1itVu69916io6MJCwtj9uzZVFVVnXTfuro6UlJS0Gg0NDY2dsMdnL/uuPedO3dy8803k5qaSnBwMDk5OTz33HPdfStn5cUXXyQjI4OgoCDGjBnDli1bTrv/0qVLyc7OJigoiGHDhvHpp592el5RFB5//HESExMJDg5m2rRpHDx4sDtv4bz58t4dDgcPP/www4YNIzQ0lKSkJO644w7Ky8u7+zbOm69/9z92zz33oNFoePbZZ30ctRAB4KyLRQjVzJgxQ7nggguUTZs2KevXr1f69++v3Hzzzac95p577lFSU1OVNWvWKNu2bVPGjh2rjB8//qT7XnPNNcoVV1yhAEpDQ0M33MH56457f+2115T/+I//UL7++mvl8OHDyttvv60EBwcrzz//fHffzmm9//77itFoVBYvXqzs3btXmTt3rmKxWJSqqqqT7v/dd98pOp1O+fOf/6zs27dPeeyxxxSDwaDs3r3bu8+f/vQnJSIiQvnwww+VnTt3KjNnzlQyMzOVjo6Onrqts+Lre29sbFSmTZumLFmyRNm/f7+yceNGZfTo0Upubm5P3tZZ647f/XErVqxQLrjgAiUpKUl55plnuvlOhPA/kuj4uX379imAsnXrVu+2zz77TNFoNEpZWdlJj2lsbFQMBoOydOlS77b8/HwFUDZu3Nhp35deekmZOHGismbNGr9LdLr73n/sV7/6lTJ58mTfBX8eRo8erdx7773en10ul5KUlKT88Y9/POn+N954o3LVVVd12jZmzBjll7/8paIoiuJ2u5WEhARl4cKF3ucbGxsVk8mk/OMf/+iGOzh/vr73k9myZYsCKMXFxb4J2oe66/6PHj2qJCcnK3v27FHS09Ml0RF9knRd+bmNGzdisVgYNWqUd9u0adPQarVs3rz5pMfk5eXhcDiYNm2ad1t2djZpaWls3LjRu23fvn384Q9/4K233vJZYT5f6s57/6mmpiaioqJ8F/w5stvt5OXldYpbq9Uybdq0U8a9cePGTvsDTJ8+3bt/YWEhlZWVnfaJiIhgzJgxp30telp33PvJNDU1odFo/G7J/u66f7fbze23385DDz3EkCFDuid4IQKA/326iU4qKyuJi4vrtE2v1xMVFUVlZeUpjzEajSe8ocfHx3uPsdls3HzzzSxcuPCEmiP+orvu/ac2bNjAkiVLznlZcV+qra3F5XJ5CwYed7q4KysrT7v/8T/P5Zxq6I57/ymr1crDDz/MzTff7HcFQLvr/p966in0ej3/8R//4fughQggkuioZP78+Wg0mtM+9u/f323Xf+SRR8jJyeG2227rtmucitr3/mN79uzhmmuuYcGCBVx++eU9ck3RsxwOBzfeeCOKovDyyy+rHU6PyMvL47nnnuONN95Ao9GoHY4QqpJaVyp58MEHueuuu067T1ZWFgkJCVRXV3fa7nQ6qa+vJyEh4aTHJSQkYLfbaWxs7NSyUVVV5T1m7dq17N69m2XLlgF4a4zExMTw6KOP8uSTT57nnZ2Z2vd+3L59+5g6dSrz5s3jscceO6978ZWYmBh0Ot0JM+NOFvdxCQkJp93/+J9VVVUkJiZ22mfEiBE+jL5ruuPejzue5BQXF7N27Vq/a82B7rn/9evXU11d3am11uVy8eCDD/Lss89SVFTk25sQwp+pPUhInN7xAbnbtm3zbvviiy/OakDusmXLvNv279/faUDuoUOHlN27d3sfixcvVgBlw4YNp5zp0dO6694VRVH27NmjxMXFKQ899FD33cA5Gj16tHLfffd5f3a5XEpycvJpB6T+7Gc/67Rt3LhxJwxGXrRokff5pqYmvx2M7Mt7VxRFsdvtyqxZs5QhQ4Yo1dXV3RO4j/j6/mtrazv9/969e7eSlJSkPPzww8r+/fu770aE8EOS6ASAGTNmKCNHjlQ2b96sfPvtt8qAAQM6TbE+evSoMmjQIGXz5s3ebffcc4+SlpamrF27Vtm2bZsybtw4Zdy4cae8xldffeV3s64UpXvufffu3UpsbKxy2223KRUVFd6H2h+G77//vmIymZQ33nhD2bdvnzJv3jzFYrEolZWViqIoyu23367Mnz/fu/93332n6PV6ZdGiRUp+fr6yYMGCk04vt1gsykcffaTs2rVLueaaa/x2erkv791utyszZ85UUlJSlB07dnT6PdtsNlXu8XS643f/UzLrSvRVkugEgLq6OuXmm29WwsLCFLPZrNx9991KS0uL9/nCwkIFUL766ivvto6ODuVXv/qVEhkZqYSEhCjXXnutUlFRccpr+Gui0x33vmDBAgU44ZGent6Dd3Zyzz//vJKWlqYYjUZl9OjRyqZNm7zPTZw4Ubnzzjs77f/BBx8oAwcOVIxGozJkyBDlk08+6fS82+1Wfv/73yvx8fGKyWRSpk6dqhQUFPTErZwzX9778X8XJ3v8+N+KP/H17/6nJNERfZVGUY4NzhBCCCGE6GVk1pUQQgghei1JdIQQQgjRa0miI4QQQoheSxIdIYQQQvRakugIIYQQoteSREcIIYQQvZYkOkIIIYTotSTREUIIIUSvJYmOEEIIIXotSXSEEEII0WtJoiNEgKmpqSEhIYH//d//9W7bsGEDRqORNWvWqBiZEEL4H6l1JUQA+vTTT5k1axYbNmxg0KBBjBgxgmuuuYann35a7dCEEMKvSKIjRIC69957+fLLLxk1ahS7d+9m69atmEwmtcMSQgi/IomOEAGqo6ODoUOHUlpaSl5eHsOGDVM7JCGE8DsyRkeIAHX48GHKy8txu90UFRWpHY4QQvgladERIgDZ7XZGjx7NiBEjGDRoEM8++yy7d+8mLi5O7dCEEMKvSKIjRAB66KGHWLZsGTt37iQsLIyJEycSERHBypUr1Q5NCCH8inRdCRFgvv76a5599lnefvttzGYzWq2Wt99+m/Xr1/Pyyy+rHZ4QQvgVadERQgghRK8lLTpCCCGE6LUk0RFCCCFEryWJjhBCCCF6LUl0hBBCCNFrSaIjhBBCiF5LEh0hhBBC9FqS6AghhBCi15JERwghhBC9liQ6QgghhOi1JNERQgghRK8liY4QQgghei1JdIQQQgjRa/1/EgOS8ISXJFMAAAAASUVORK5CYII=", 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" ] @@ -671,16 +670,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "Keys= [[1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 0, 3], [1, 0, 4], [1, 0, 5], [1, 0, 6], [1, 0, 7], [1, 0, 8], [1, 0, 9], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 1, 3], [1, 1, 4], [1, 1, 5], [1, 1, 6], [1, 1, 7], [1, 1, 8], [1, 1, 9]]\n", + "Keys= [[2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 0, 3], [2, 0, 4], [2, 0, 5], [2, 0, 6], [2, 0, 7], [2, 0, 8], [2, 0, 9], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 1, 3], [2, 1, 4], [2, 1, 5], [2, 1, 6], [2, 1, 7], [2, 1, 8], [2, 1, 9], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 2, 3], [2, 2, 4], [2, 2, 5], [2, 2, 6], [2, 2, 7], [2, 2, 8], [2, 2, 9]]\n", "Window=10 PC number=10\n", "---- Eigen is using 4 threads\n", - "shape U = 300 x 11\n", - "shape Y = 11 x 300\n" + "shape U = 500 x 11\n", + "shape Y = 11 x 500\n" ] }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -692,7 +691,7 @@ "source": [ "# Make a subkey sequence\n", "#\n", - "keylst = coefs.makeKeys([1])\n", + "keylst = coefs.makeKeys([2])\n", "print(\"Keys=\", keylst)\n", "\n", "name = 'dark halo'\n", @@ -734,7 +733,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -782,9 +781,8 @@ } ], "source": [ - "ssa.reconstruct([0, 1, 2, 3])\n", - "\n", "coefs.zerodata() # <---replace with reconstructed\n", + "ssa.reconstruct([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])\n", "newdata = ssa.getReconstructed()\n", "print('newdata is a', type(newdata))" ] @@ -795,7 +793,17 @@ "metadata": {}, "source": [ "### Compute the k-means analysis\n", - "Each channel is the real or imaginary part (designated cosine [c] or sine [s]). These could be combined and this will be done in a later update. The k-means analysis illustrates the clear patterns in the PCs seen in the plots above: the individual features occur in pairs, dominated by the first two pairs as seen in the eigenvalue plot." + "\n", + "The k-means partitions n vector observations into k clusters in which each observation belongs to the cluster with\n", + "the nearest centers while minimizing the variance within each cluster. In this case, the vectors are the full\n", + "trajectory matrices and the distance is the distance between the trajectory matricies reconstructed from each\n", + "eigentriple from mSSA. The distance used here is the Frobenius distance or matrix norm distance: the square root\n", + "of the sum of squares of all elements in the difference between two matrices.\n", + "\n", + "Note: the k-means analysis will use the reconstructions from your last call to `reconstruct`. In this notebook, that would be from the previous cell; the first 10 PCs. The k-means initial cluster selection chooses every second PC by default. This is a good choice for\n", + "time series representing quasi-periodic motion which generally have pairs of PCs representing the sinusoidal behavior.\n", + "\n", + "The k-means analysis illustrates the clear patterns in the PCs seen in the plots above: the individual features occur in pairs, dominated by the first two pairs as seen in the eigenvalue plot. This dominant pair is assigned id=0. The next pair is assigned id=1. The rest of the PCs are not particularly correlated and are lumped into id=0." ] }, { @@ -808,407 +816,41 @@ "name": "stdout", "output_type": "stream", "text": [ - "----------------------------------------\n", - "---- K-means group analysis\n", - "---- numT=20 numW=10\n", - "----------------------------------------\n", - "------------------------------------------------------------\n", - " *** n=(1,0,0,c)_0\n", - "------------------------------------------------------------\n", - " 0 0\n", - " 1 0\n", - " 2 1\n", - " 3 1\n", - " 4 0\n", - " 5 0\n", - " 6 0\n", - " 7 0\n", - " 8 0\n", - " 9 0\n", - "------------------------------------------------------------\n", - " *** n=(1,0,1,c)_0\n", - "------------------------------------------------------------\n", - " 0 0\n", - " 1 0\n", - " 2 1\n", - " 3 1\n", - " 4 0\n", - " 5 0\n", - " 6 0\n", - " 7 0\n", - " 8 0\n", - " 9 0\n", - "------------------------------------------------------------\n", - " *** n=(1,0,2,c)_0\n", - "------------------------------------------------------------\n", - " 0 0\n", - " 1 0\n", - " 2 1\n", - " 3 1\n", - " 4 0\n", - " 5 0\n", - " 6 0\n", - " 7 0\n", - " 8 0\n", - " 9 0\n", - "------------------------------------------------------------\n", - " *** n=(1,0,3,c)_0\n", - "------------------------------------------------------------\n", - " 0 0\n", - " 1 0\n", - " 2 1\n", - " 3 1\n", - " 4 0\n", - " 5 0\n", - " 6 0\n", - " 7 0\n", - " 8 0\n", - " 9 0\n", - "------------------------------------------------------------\n", - " *** n=(1,0,4,c)_0\n", - "------------------------------------------------------------\n", - " 0 0\n", - " 1 0\n", - " 2 1\n", - " 3 1\n", - " 4 0\n", - " 5 0\n", - " 6 0\n", - " 7 0\n", - " 8 0\n", - " 9 0\n", - "------------------------------------------------------------\n", - " *** n=(1,0,5,c)_0\n", - "------------------------------------------------------------\n", - " 0 0\n", - " 1 0\n", - " 2 1\n", - " 3 1\n", - " 4 0\n", - " 5 0\n", - " 6 0\n", - " 7 0\n", - " 8 0\n", - " 9 0\n", - "------------------------------------------------------------\n", - " *** n=(1,0,6,c)_0\n", - "------------------------------------------------------------\n", - " 0 0\n", - " 1 0\n", - " 2 1\n", - " 3 1\n", - " 4 0\n", - " 5 0\n", - " 6 0\n", - " 7 0\n", - " 8 0\n", - " 9 0\n", - "------------------------------------------------------------\n", - " *** n=(1,0,7,c)_0\n", - "------------------------------------------------------------\n", - " 0 0\n", - " 1 0\n", - " 2 1\n", - " 3 1\n", - " 4 0\n", - " 5 0\n", - " 6 0\n", - " 7 0\n", - " 8 0\n", - " 9 0\n", - "------------------------------------------------------------\n", - " *** n=(1,0,8,c)_0\n", - "------------------------------------------------------------\n", - " 0 0\n", - " 1 0\n", - " 2 1\n", - " 3 1\n", - " 4 0\n", - " 5 0\n", - " 6 0\n", - " 7 0\n", - " 8 0\n", - " 9 0\n", - "------------------------------------------------------------\n", - " *** n=(1,0,9,c)_0\n", - "------------------------------------------------------------\n", - " 0 0\n", - " 1 0\n", - " 2 1\n", - " 3 1\n", - " 4 0\n", - " 5 0\n", - " 6 0\n", - " 7 0\n", - " 8 0\n", - " 9 0\n", - "------------------------------------------------------------\n", - " *** n=(1,1,0,c)_0\n", - "------------------------------------------------------------\n", - " 0 0\n", - " 1 0\n", - " 2 1\n", - " 3 1\n", - " 4 0\n", - " 5 0\n", - " 6 0\n", - " 7 0\n", - " 8 0\n", - " 9 0\n", - "------------------------------------------------------------\n", - " *** n=(1,1,0,s)_0\n", - "------------------------------------------------------------\n", - " 0 0\n", - " 1 0\n", - " 2 1\n", - " 3 1\n", - " 4 0\n", - " 5 0\n", - " 6 0\n", - " 7 0\n", - " 8 0\n", - " 9 0\n", - "------------------------------------------------------------\n", - " *** n=(1,1,1,c)_0\n", - "------------------------------------------------------------\n", - " 0 0\n", - " 1 0\n", - " 2 1\n", - " 3 1\n", - " 4 0\n", - " 5 0\n", - " 6 0\n", - " 7 0\n", - " 8 0\n", - " 9 0\n", - "------------------------------------------------------------\n", - " *** n=(1,1,1,s)_0\n", - "------------------------------------------------------------\n", - " 0 0\n", - " 1 0\n", - " 2 1\n", - " 3 1\n", - " 4 0\n", - " 5 0\n", - " 6 0\n", - " 7 0\n", - " 8 0\n", - " 9 0\n", - "------------------------------------------------------------\n", - " *** n=(1,1,2,c)_0\n", - "------------------------------------------------------------\n", - " 0 0\n", - " 1 0\n", - " 2 1\n", - " 3 1\n", - " 4 0\n", - " 5 0\n", - " 6 0\n", - " 7 0\n", - " 8 0\n", - " 9 0\n", - "------------------------------------------------------------\n", - " *** n=(1,1,2,s)_0\n", - "------------------------------------------------------------\n", - " 0 0\n", - " 1 0\n", - " 2 1\n", - " 3 1\n", - " 4 0\n", - " 5 0\n", - " 6 0\n", - " 7 0\n", - " 8 0\n", - " 9 0\n", - "------------------------------------------------------------\n", - " *** n=(1,1,3,c)_0\n", - "------------------------------------------------------------\n", - " 0 0\n", - " 1 0\n", - " 2 1\n", - " 3 1\n", - " 4 0\n", - " 5 0\n", - " 6 0\n", - " 7 0\n", - " 8 0\n", - " 9 0\n", - "------------------------------------------------------------\n", - " *** n=(1,1,3,s)_0\n", - "------------------------------------------------------------\n", - " 0 0\n", - " 1 0\n", - " 2 1\n", - " 3 1\n", - " 4 0\n", - " 5 0\n", - " 6 0\n", - " 7 0\n", - " 8 0\n", - " 9 0\n", - "------------------------------------------------------------\n", - " *** n=(1,1,4,c)_0\n", - "------------------------------------------------------------\n", - " 0 0\n", - " 1 0\n", - " 2 1\n", - " 3 1\n", - " 4 0\n", - " 5 0\n", - " 6 0\n", - " 7 0\n", - " 8 0\n", - " 9 0\n", - "------------------------------------------------------------\n", - " *** n=(1,1,4,s)_0\n", - "------------------------------------------------------------\n", - " 0 0\n", - " 1 0\n", - " 2 1\n", - " 3 1\n", - " 4 0\n", - " 5 0\n", - " 6 0\n", - " 7 0\n", - " 8 0\n", - " 9 0\n", - "------------------------------------------------------------\n", - " *** n=(1,1,5,c)_0\n", - "------------------------------------------------------------\n", - " 0 0\n", - " 1 0\n", - " 2 1\n", - " 3 1\n", - " 4 0\n", - " 5 0\n", - " 6 0\n", - " 7 0\n", - " 8 0\n", - " 9 0\n", - "------------------------------------------------------------\n", - " *** n=(1,1,5,s)_0\n", - "------------------------------------------------------------\n", - " 0 0\n", - " 1 0\n", - " 2 1\n", - " 3 1\n", - " 4 0\n", - " 5 0\n", - " 6 0\n", - " 7 0\n", - " 8 0\n", - " 9 0\n", - "------------------------------------------------------------\n", - " *** n=(1,1,6,c)_0\n", - "------------------------------------------------------------\n", - " 0 0\n", - " 1 0\n", - " 2 1\n", - " 3 1\n", - " 4 0\n", - " 5 0\n", - " 6 0\n", - " 7 0\n", - " 8 0\n", - " 9 0\n", - "------------------------------------------------------------\n", - " *** n=(1,1,6,s)_0\n", - "------------------------------------------------------------\n", - " 0 0\n", - " 1 0\n", - " 2 1\n", - " 3 1\n", - " 4 0\n", - " 5 0\n", - " 6 0\n", - " 7 0\n", - " 8 0\n", - " 9 0\n", - "------------------------------------------------------------\n", - " *** n=(1,1,7,c)_0\n", - "------------------------------------------------------------\n", - " 0 0\n", - " 1 0\n", - " 2 1\n", - " 3 1\n", - " 4 0\n", - " 5 0\n", - " 6 0\n", - " 7 0\n", - " 8 0\n", - " 9 0\n", - "------------------------------------------------------------\n", - " *** n=(1,1,7,s)_0\n", - "------------------------------------------------------------\n", - " 0 0\n", - " 1 0\n", - " 2 1\n", - " 3 1\n", - " 4 0\n", - " 5 0\n", - " 6 0\n", - " 7 0\n", - " 8 0\n", - " 9 0\n", - "------------------------------------------------------------\n", - " *** n=(1,1,8,c)_0\n", - "------------------------------------------------------------\n", - " 0 0\n", - " 1 0\n", - " 2 1\n", - " 3 1\n", - " 4 0\n", - " 5 0\n", - " 6 0\n", - " 7 0\n", - " 8 0\n", - " 9 0\n", - "------------------------------------------------------------\n", - " *** n=(1,1,8,s)_0\n", - "------------------------------------------------------------\n", - " 0 0\n", - " 1 0\n", - " 2 1\n", - " 3 1\n", - " 4 0\n", - " 5 0\n", - " 6 0\n", - " 7 0\n", - " 8 0\n", - " 9 0\n", - "------------------------------------------------------------\n", - " *** n=(1,1,9,c)_0\n", - "------------------------------------------------------------\n", - " 0 0\n", - " 1 0\n", - " 2 1\n", - " 3 1\n", - " 4 0\n", - " 5 0\n", - " 6 0\n", - " 7 0\n", - " 8 0\n", - " 9 0\n", - "------------------------------------------------------------\n", - " *** n=(1,1,9,s)_0\n", - "------------------------------------------------------------\n", - " 0 0\n", - " 1 0\n", - " 2 1\n", - " 3 1\n", - " 4 0\n", - " 5 0\n", - " 6 0\n", - " 7 0\n", - " 8 0\n", - " 9 0\n" + "PC | id | distance \n", + "---- | ---- | -------- \n", + "0 | 0 | 6.243771e+00 \n", + "1 | 0 | 6.243771e+00 \n", + "2 | 1 | 4.312612e+00 \n", + "3 | 1 | 4.312612e+00 \n", + "4 | 2 | 0.000000e+00 \n", + "5 | 3 | 2.561358e+00 \n", + "6 | 3 | 2.561358e+00 \n", + "7 | 4 | 2.330193e+00 \n", + "8 | 4 | 2.342835e+00 \n", + "9 | 4 | 2.861371e+00 \n" ] } ], "source": [ - "# Print k-means groups\n", + "# Print k-means groups, allowing up to 6\n", "#\n", - "ssa.kmeans()" + "id, dist, tol = ssa.kmeans(clusters=6)\n", + "\n", + "# Print the results\n", + "print('{:<4s} | {:<4s} | {:<13s}'.format('PC', 'id', 'distance'))\n", + "print('{:<4s} | {:<4s} | {:<13s}'.format('----', '----', '--------'))\n", + "for k in range(len(id)):\n", + " print('{:<4d} | {:<4d} | {:<13.6e}'.format(k, id[k], dist[k]))" + ] + }, + { + "cell_type": "markdown", + "id": "83692236-18fa-443c-aed7-f58ef5e1f5ed", + "metadata": {}, + "source": [ + "In this case, k-means identifies 5 groups: 3 pairs and triple. Compare this with the results from the w-correlation matrix in the next section...\n", + "\n", + "You can see from the PCs themselves, that very few dynamical periods are available for analysis. This simulation is not long enough for a highly signficant cluster analysis." ] }, { @@ -1228,7 +870,7 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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", 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", 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", 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", 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", 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", 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", 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", 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", 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", 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", 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", 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", 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", 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", 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", 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", 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vvPKKNm/e3KhxG50c7N27VzfeeKPrde16gdrHx/7hD39QVVWV7rnnHp09e1bXX3+98vPzFRwc3NihAABoNZxyyp2//ZvS+3K/uZ9//rlOnjzpej8uLk6bN2/W7Nmz9eSTT+qqq67SM888o+Tk5EaN2+pun1xZWamwsDAldUplzQEAtAKbD7zr7RAaVPm1Qx1/clwVFRXNNo9f+7v0zyNXub0gMfraz5o1Vk/x+m4FAAB8gcMw5HDj72l3+rY0kgMAACzwxpoDb2m+20kBAACfROUAAAALnDLk8JPKAckBAAAWMK0AAAD8FpUDAAAsYLcCAAAwcf7rcKe/r2BaAQAAmFA5AADAAoebuxXc6dvSSA4AALDAYVw83OnvK0gOAACwgDUHAADAb1E5AADAAqdscsjmVn9fQXIAAIAFTuPi4U5/X8G0AgAAMKFyAACABQ43pxXc6dvSSA4AALDAn5IDphUAAIAJlQMAACxwGjY5DTd2K7jRt6WRHAAAYAHTCgAAwG9ROQAAwAKHAuRw429qhwdjaW4kBwAAWGC4uebAYM0BAAA/Lqw5AAAAfovKAQAAFjiMADkMN9Yc+NCzFUgOAACwwCmbnG4U3J3yneyAaQUAAGBC5QAAAAv8aUEiyQEAtAKbD7zr7RAaNHbATd4OoUHfOWskHW+Rsdxfc8C0AgAA8FFUDgAAsODigkQ3HrzEtAIAAD8uTjdvn8xuBQAA4LOoHAAAYIE/LUgkOQAAwAKnAvzmJkgkBwAAWOAwbHK48WRFd/q2NNYcAAAAEyoHAABY4HBzt4KDaQUAAH5cnEaAnG4sSHT60IJEphUAAIAJlQMAACxgWgEAAJg45d6OA6fnQml2TCsAAAATKgcAAFjg/k2QfOfvcZIDAAAscP/2yb6THPhOpAAAoEVQOQAAwAKnbHLKnQWJvnP7ZJIDAAAs8KdpBZIDAAAscP8+B76THPhOpAAAoEVQOQAAwAKnYZPTnZsg+dAjm0kOAACwwOnmtIIv3efAdyIFAAAtgsoBAAAWuP/IZt/5e5zkAAAACxyyyeHGvQrc6dvSfCeNAQAALYLKAQAAFvjTtILvRAoAgBc59O+phaYdTbNq1SrFxsYqODhYCQkJ2r179yXPz8nJ0bXXXquQkBDFxMRo9uzZOn/+fKPGJDkAAKCVysvLU0ZGhrKysrRv3z4NGjRIycnJKi8vr/f8DRs2aM6cOcrKytKhQ4f05z//WXl5eZo3b16jxiU5AADAgtppBXeOxlq+fLmmT5+u1NRU9e3bV7m5uWrXrp3WrVtX7/k7d+7UyJEjdccddyg2NlZjxozRlClTLltt+CGSAwAALKh98JI7hyRVVlaajurq6nrHq6mpUXFxsZKSklxtAQEBSkpKUlFRUb19RowYoeLiYlcycPz4cW3ZskW/+MUvGvVZPZ4cOBwOzZ8/X3FxcQoJCVHPnj21cOFCGYbh6aEAAGgxxr8e2dzUw/jXVsaYmBiFhYW5juzs7HrHO3PmjBwOhyIjI03tkZGRKi0trbfPHXfcoUcffVTXX3+92rZtq549e2r06NGNnlbw+G6FJUuWaPXq1XruuefUr18/7d27V6mpqQoLC9P999/v6eEAAPApJSUlCg0Ndb222+0eu3ZhYaEWL16s//7v/1ZCQoKOHTummTNnauHChZo/f77l63g8Odi5c6d++ctfauzYsZKk2NhYvfTSS42e7wAAoDX5/tRAU/tLUmhoqCk5aEh4eLgCAwNVVlZmai8rK1NUVFS9febPn68777xTv/nNbyRJAwYMUFVVle655x798Y9/VECAtfg9Pq0wYsQIFRQU6OjRo5KkDz/8UDt27NDPf/7zes+vrq6uM/8CAEBrU/tURneOxggKCtLQoUNVUFDw7xicThUUFCgxMbHePt98802dBCAwMFCSGjW97/HKwZw5c1RZWanevXsrMDBQDodDjz32mKZOnVrv+dnZ2VqwYIGnwwAAk80H3vV2CJc0dsBN3g4BrVBGRoZSUlIUHx+v4cOHKycnR1VVVUpNTZUk3XXXXerWrZtr3cL48eO1fPlyDRkyxDWtMH/+fI0fP96VJFjh8eTglVde0YsvvqgNGzaoX79+2r9/v2bNmqXo6GilpKTUOX/u3LnKyMhwva6srFRMTIynwwIAwC0ONx/Z3JS+kyZN0unTp5WZmanS0lINHjxY+fn5rkWKJ0+eNFUKHn74YdlsNj388MM6deqUunTpovHjx+uxxx5r1Lg2w8PbCGJiYjRnzhylpaW52hYtWqS//OUvOnz48GX7V1ZWKiwsTEmdUtUmIMiToQHwY1QOfpy+c9bob18+q4qKCkvz+E1R+7t0/45fyt6+bZOvU33ugp66/vVmjdVTPL7moKH5DqfT6emhAABAM/D4tEJt+aJ79+7q16+fPvjgAy1fvlx33323p4cCAKDFOBUgpxt/U7vTt6V5PDlYsWKF5s+frxkzZqi8vFzR0dG69957lZmZ6emhAABoMQ7DJkcjdxz8sL+v8Hhy0KFDB+Xk5CgnJ8fTlwYAAC3A48kBAAA/Rk25V8EP+/sKkgMAACwwmvhkxe/39xUkBwAAWOCQTQ65sebAjb4tzXfSGAAA0CKoHAAAYIHTcG/dgNOjtxxsXiQHAABY4HRzzYE7fVua70QKAABaBJUDAAAscMompxuLCt3p29JIDgAAsMCf7pDItAIAADChcgAAgAX+tCCR5AAAAAuccvP2yT605sB30hgAANAiqBwAAGCB4eZuBcOHKgckBwAAWMBTGQEAgIk/LUj0nUgBAECLoHIAAIAFTCsAAAATf7p9MtMKAADAhMoBAAAWMK0AAABM/Ck5YFoBAACYUDkAAMACf6ockBwAAGCBPyUHTCsAAAATKgcAAFhgyL17FRieC6XZkRwAAGCBP00rkBwAAGCBPyUHrDkAAAAmVA4AeMTmA+96O4RLGjvgJm+HAB/nT5UDkgMAACzwp+SAaQUAAGBC5QAAAAsMwybDjb/+3enb0kgOAACwwCmbW/c5cKdvS2NaAQAAmFA5AADAAn9akEhyAACABf605oBpBQAAYELlAAAAC5hWAAAAJv40rUByAACABYablQNfSg5YcwAAAEyoHAAAYIEhyTDc6+8rSA4AALDAKZts3CERAAD4IyoHAABYwG4FAABg4jRssvnJfQ6YVgAAACZUDgAAsMAw3Nyt4EPbFUgOAACwwJ/WHDCtAAAATKgcAABggT9VDkgOAACwwJ92K5AcAABggT8tSGTNAQAArdiqVasUGxur4OBgJSQkaPfu3Zc8/+zZs0pLS1PXrl1lt9v1k5/8RFu2bGnUmFQOAACw4GLlwJ01B43vk5eXp4yMDOXm5iohIUE5OTlKTk7WkSNHFBERUef8mpoa3XLLLYqIiNBrr72mbt266dNPP9WVV17ZqHFJDgAAsMAbCxKXL1+u6dOnKzU1VZKUm5urzZs3a926dZozZ06d89etW6cvv/xSO3fuVNu2bSVJsbGxjR6XaQUAAFpQZWWl6aiurq73vJqaGhUXFyspKcnVFhAQoKSkJBUVFdXb54033lBiYqLS0tIUGRmp/v37a/HixXI4HI2KkeQAAAALDA8ckhQTE6OwsDDXkZ2dXe94Z86ckcPhUGRkpKk9MjJSpaWl9fY5fvy4XnvtNTkcDm3ZskXz58/XsmXLtGjRokZ9VqYVAACwwFPTCiUlJQoNDXW12+12t2Or5XQ6FRERoTVr1igwMFBDhw7VqVOn9MQTTygrK8vydUgOAABoQaGhoabkoCHh4eEKDAxUWVmZqb2srExRUVH19unatavatm2rwMBAV1ufPn1UWlqqmpoaBQUFWYqRaQUAAKzw1LyCRUFBQRo6dKgKCgpcbU6nUwUFBUpMTKy3z8iRI3Xs2DE5nU5X29GjR9W1a1fLiYHUTMnBqVOnNG3aNHXu3FkhISEaMGCA9u7d2xxDAQDQMv41rdDUQ02YksjIyNDatWv13HPP6dChQ/rd736nqqoq1+6Fu+66S3PnznWd/7vf/U5ffvmlZs6cqaNHj2rz5s1avHix0tLSGjWux6cVvvrqK40cOVI33nij3n77bXXp0kUff/yxOnbs6OmhAABoMd64Q+KkSZN0+vRpZWZmqrS0VIMHD1Z+fr5rkeLJkycVEPDvv/NjYmL0zjvvaPbs2Ro4cKC6deummTNn6qGHHmrUuB5PDpYsWaKYmBg9++yzrra4uDhPDwMAgF9IT09Xenp6ve8VFhbWaUtMTNSuXbvcGtPj0wpvvPGG4uPjNXHiREVERGjIkCFau3Ztg+dXV1fX2fMJAEBr486Ugrs7HVqaxysHx48f1+rVq5WRkaF58+Zpz549uv/++xUUFKSUlJQ652dnZ2vBggWeDgP4Udp84F1vh9CgsQNu8nYIQPNq4roBU38f4fHKgdPp1HXXXafFixdryJAhuueeezR9+nTl5ubWe/7cuXNVUVHhOkpKSjwdEgAAaASPVw66du2qvn37mtr69Omjv/71r/Web7fbPXoDCAAAmoM/PbLZ48nByJEjdeTIEVPb0aNH1aNHD08PBQBAy2nCvQrq9PcRHp9WmD17tnbt2qXFixfr2LFj2rBhg9asWdPoPZYAAMA7PJ4cDBs2TBs3btRLL72k/v37a+HChcrJydHUqVM9PRQAAC2G3QpuGjdunMaNG9cclwYAwHt8aGrAHTxbAQAAmPBURgAALPDUI5t9AckBAABW+NFuBZIDAAAssf3rcKe/b2DNAQAAMKFyAACAFUwrAAAAEz9KDphWAAAAJlQOAACwwo8e2UxyAACABf70VEamFQAAgAmVAwAArPCjBYkkBwAAWOFHaw6YVgAAACZUDgAAsMBmXDzc6e8rSA4AALCCNQcAAMCENQcAAMBfUTkAAMAKphUAAICJHyUHTCsAAAATKgcAAFjhR5UDkgMAAKxgtwIAAPBXVA4AALCAOyQCAAAzP1pzwLQCAAAwITkAAAAmTCsAAGCBTW6uOfBYJM2P5AD4ns0H3vV2CJc0dsBN3g4B8F9sZQQAAP6KygEAAFb40W4FkgMAAKzwo+SAaQUAAGBC5QAAAAu4QyIAADBjWgEAAPgrKgcAAFjhR5UDkgMAACzwpzUHTCsAAAATKgcAAFjhR7dPJjkAAMAK1hwAAIDvY80BAADwW1QOAACwgmkFAABg4ua0gi8lB0wrAAAAEyoHAABYwbQCAAAw8aPkgGkFAABgQuUAAAALuM8BAABoFVatWqXY2FgFBwcrISFBu3fvttTv5Zdfls1m04QJExo9JskBAACtVF5enjIyMpSVlaV9+/Zp0KBBSk5OVnl5+SX7ffLJJ3rggQf0s5/9rEnjkhwAAGCF4YFDUmVlpemorq5ucMjly5dr+vTpSk1NVd++fZWbm6t27dpp3bp1DfZxOByaOnWqFixYoKuvvrpJH5XkAAAAC2rXHLhzSFJMTIzCwsJcR3Z2dr3j1dTUqLi4WElJSa62gIAAJSUlqaioqME4H330UUVEROjXv/51kz8rCxIBALDKA4sKS0pKFBoa6nptt9vrPe/MmTNyOByKjIw0tUdGRurw4cP19tmxY4f+/Oc/a//+/W7FSHIAAEALCg0NNSUHnvL111/rzjvv1Nq1axUeHu7WtUgOAACwooVvghQeHq7AwECVlZWZ2svKyhQVFVXn/H/84x/65JNPNH78eFeb0+mUJLVp00ZHjhxRz549LY3NmgMAACzw1JoDq4KCgjR06FAVFBS42pxOpwoKCpSYmFjn/N69e+vAgQPav3+/6/iP//gP3Xjjjdq/f79iYmIsj03lAACAViojI0MpKSmKj4/X8OHDlZOTo6qqKqWmpkqS7rrrLnXr1k3Z2dkKDg5W//79Tf2vvPJKSarTfjkkBwAAWOGFZytMmjRJp0+fVmZmpkpLSzV48GDl5+e7FimePHlSAQGenwQgOQAAwAJv3T45PT1d6enp9b5XWFh4yb7r169v0pisOQAAACbNnhw8/vjjstlsmjVrVnMPBQBA8/HQHRJ9QbNOK+zZs0dPP/20Bg4c2JzDAADQ/Lyw5sBbmq1ycO7cOU2dOlVr165Vx44dGzyvurq6zn2mAQCA9zRb5SAtLU1jx45VUlKSFi1a1OB52dnZWrBgQZ1257lzctraNld4bjl/0yBvh3BJk/7f294OoUG/DTvl7RAuaeyAm7wdAoBWylsLEr2hWSoHL7/8svbt29fgwyS+b+7cuaqoqHAdJSUlzRESAADuYc1B05WUlGjmzJnaunWrgoODL3u+3W5v8KETAAC0Gn605sDjyUFxcbHKy8t13XXXudocDoe2b9+ulStXqrq6WoGBgZ4eFgAAeIjHk4Obb75ZBw4cMLWlpqaqd+/eeuihh0gMAAA+yZ/WHHg8OejQoUOdezhfccUV6ty5c6Pv7QwAQKvhR9MK3CERAACYtMizFS5372cAAFo7phUAAIAZ0woAAMBfUTkAAMAKP6ockBwAAGCB7V+HO/19BdMKAADAhMoBAABWMK0AAAC+j62MAADAzI8qB6w5AAAAJlQOAACwyof++ncHyQEAABb405oDphUAAIAJlQMAAKzwowWJJAcAAFjAtAIAAPBbVA4AALCCaQUAAPB9TCsAAAC/ReUAAAArmFYAAAAmJAcAAOD7WHMAAAD8FpUDAACsYFoBAAB8n80wZDOa/gvvTt+WxrQCAAAwoXIAAIAVTCsAAIDvY7cCAADwW1QOAACwgmkF73PW1MjZSmsw7Y6e9nYIl/TbsFPeDqFBuRXdvB0CADQJ0woAAMBvtdrKAQAArQrTCgAA4Pv8aVqB5AAAACv8qHLAmgMAAGBC5QAAAIt8aWrAHSQHAABYYRgXD3f6+wimFQAAgAmVAwAALGC3AgAAMGO3AgAA8FdUDgAAsMDmvHi4099XkBwAAGAF0woAAMBfUTkAAMACdisAAAAzP7oJEskBAAAW+FPlgDUHAAC0YqtWrVJsbKyCg4OVkJCg3bt3N3ju2rVr9bOf/UwdO3ZUx44dlZSUdMnzG0JyAACAFYYHjkbKy8tTRkaGsrKytG/fPg0aNEjJyckqLy+v9/zCwkJNmTJF27ZtU1FRkWJiYjRmzBidOnWqUeOSHAAAYEHttII7hyRVVlaajurq6gbHXL58uaZPn67U1FT17dtXubm5ateundatW1fv+S+++KJmzJihwYMHq3fv3nrmmWfkdDpVUFDQqM9KcgAAQAuKiYlRWFiY68jOzq73vJqaGhUXFyspKcnVFhAQoKSkJBUVFVka65tvvtGFCxfUqVOnRsXIgkQAAKzw0G6FkpIShYaGuprtdnu9p585c0YOh0ORkZGm9sjISB0+fNjSkA899JCio6NNCYYVJAcAAFjgqd0KoaGhpuSguTz++ON6+eWXVVhYqODg4Eb1JTkAAKAVCg8PV2BgoMrKykztZWVlioqKumTfP/3pT3r88cf1t7/9TQMHDmz02Kw5AADAihberRAUFKShQ4eaFhPWLi5MTExssN/SpUu1cOFC5efnKz4+vnGD/guVAwAALPDGTZAyMjKUkpKi+Ph4DR8+XDk5OaqqqlJqaqok6a677lK3bt1cixqXLFmizMxMbdiwQbGxsSotLZUktW/fXu3bt7c8LskBAACt1KRJk3T69GllZmaqtLRUgwcPVn5+vmuR4smTJxUQ8O9JgNWrV6umpka33Xab6TpZWVl65JFHLI9LcgAAgBVO4+LhTv8mSE9PV3p6er3vFRYWml5/8sknTRrjh0gOAACwool3OTT19xEkBwAAWGCTm2sOPBZJ82O3AgAAMKFyAACAFR66Q6IvIDkAAMACb2xl9BaPTytkZ2dr2LBh6tChgyIiIjRhwgQdOXLE08MAAIBm4vHk4L333lNaWpp27dqlrVu36sKFCxozZoyqqqo8PRQAAC2nhe+Q6E0en1bIz883vV6/fr0iIiJUXFysG264oc751dXVpmdZV1ZWejokAADcZjMM2dxYN+BO35bW7GsOKioqJKnBZ0lnZ2drwYIFddpP35ugQHvjniLVUj6Yu9rbIVzS2Ot/6e0QGvTNT7p4O4RLaqfj3g4BALyuWbcyOp1OzZo1SyNHjlT//v3rPWfu3LmqqKhwHSUlJc0ZEgAATeP0wOEjmrVykJaWpoMHD2rHjh0NnmO322W325szDAAA3Ma0ggekp6frrbfe0vbt23XVVVc11zAAAMDDPJ4cGIah++67Txs3blRhYaHi4uI8PQQAAC2PZys0XVpamjZs2KDXX39dHTp0cD1LOiwsTCEhIZ4eDgCAluFHd0j0+ILE1atXq6KiQqNHj1bXrl1dR15enqeHAgCgxdTeIdGdw1c0y7QCAADwXTxbAQAAK/xoWoHkAAAAC2zOi4c7/X1Fs94ECQAA+B4qBwAAWMG0AgAAMPGj+xwwrQAAAEyoHAAAYAHPVgAAAGZ+tOaAaQUAAGBC5QAAACsMSe7cq8B3CgckBwAAWMGaAwAAYGbIzTUHHouk2bHmAAAAmFA5AADACj/arUByAACAFU5JNjf7+wimFQAAgAmVAwAALGC3AgAAMPOjNQdMKwAAABMqBwAAWOFHlQOSAwAArPCj5IBpBQAAYELlAAAAK/zoPgckBwAAWMBWRgAAYMaaAwAA4K+oHAAAYIXTkGxu/PXv9J3KAckBAABWMK0AAAD8VautHOz4/TMK7RDo7TDqNST7d94O4ZIiju/0dggNCv7sn94O4dI6dPB2BABaLTcrB/KdykGrTQ4AAGhVmFYAAAD+isoBAABWOA25NTXAbgUAAH5kDOfFw53+PoJpBQAAYELlAAAAK/xoQSLJAQAAVrDmAAAAmPhR5YA1BwAAwITKAQAAVhhys3LgsUiaHckBAABWMK0AAAD8FckBAABWOJ3uH02watUqxcbGKjg4WAkJCdq9e/clz3/11VfVu3dvBQcHa8CAAdqyZUujxyQ5AADAitppBXeORsrLy1NGRoaysrK0b98+DRo0SMnJySovL6/3/J07d2rKlCn69a9/rQ8++EATJkzQhAkTdPDgwUaNS3IAAEArtXz5ck2fPl2pqanq27evcnNz1a5dO61bt67e85988kndeuutevDBB9WnTx8tXLhQ1113nVauXNmocUkOAACwwkOVg8rKStNRXV1d73A1NTUqLi5WUlKSqy0gIEBJSUkqKiqqt09RUZHpfElKTk5u8PyGkBwAAGCF03D/kBQTE6OwsDDXkZ2dXe9wZ86ckcPhUGRkpKk9MjJSpaWl9fYpLS1t1PkNYSsjAAAtqKSkRKGhoa7Xdrvdi9HUj+QAAAALDMMpw43HLtf2DQ0NNSUHDQkPD1dgYKDKyspM7WVlZYqKiqq3T1RUVKPObwjTCgAAWGG4OaXQyN0KQUFBGjp0qAoKClxtTqdTBQUFSkxMrLdPYmKi6XxJ2rp1a4PnN4TKAQAAVhhuPpWxCVsZMzIylJKSovj4eA0fPlw5OTmqqqpSamqqJOmuu+5St27dXOsWZs6cqVGjRmnZsmUaO3asXn75Ze3du1dr1qxp1LgkBwAAtFKTJk3S6dOnlZmZqdLSUg0ePFj5+fmuRYcnT55UQMC/JwFGjBihDRs26OGHH9a8efPUq1cvbdq0Sf3792/UuCQHAABY4XRKtqavOVAT1yukp6crPT293vcKCwvrtE2cOFETJ05s0li1SA4AALDCC9MK3sKCRAAAYELlAAAACwynU4Yb0wrubINsaSQHAABYwbQCAADwV1QOAACwwmlINv+oHJAcAABghWFIcmcro+8kB0wrAAAAEyoHAABYYDgNGW5MKxhUDqRVq1YpNjZWwcHBSkhI0O7du5trKAAAmp/hdP/wEc2SHOTl5SkjI0NZWVnat2+fBg0apOTkZJWXlzfHcAAANDvDabh9+IpmSQ6WL1+u6dOnKzU1VX379lVubq7atWundevWNcdwAADAgzy+5qCmpkbFxcWaO3euqy0gIEBJSUkqKiqqc351dbWqq6tdrysqKiRJledab/nFUX3e2yFc0nfGBW+H0KAAw+btEC4pwFnj7RAANMJ3xsV/Z1tiPv87o9qtqYHv1Hr/2/xDHk8Ozpw5I4fD4XqcZK3IyEgdPny4zvnZ2dlasGBBnfYe133i6dA8aJ63A/Bdrf2390tvBwCgKb744guFhYU1y7WDgoIUFRWlHaVb3L5WVFSUgoKCPBBV8/L6boW5c+cqIyPD9frs2bPq0aOHTp482Wz/R/+YVVZWKiYmRiUlJQoNDfV2OD6F767p+O7cw/fXdBUVFerevbs6derUbGMEBwfrxIkTqqlx/6+boKAgBQcHeyCq5uXx5CA8PFyBgYEqKysztZeVlSkqKqrO+Xa7XXa7vU57WFgY/5K4ITQ0lO+vifjumo7vzj18f00XENC8t+0JDg72iR91T/H4txkUFKShQ4eqoKDA1eZ0OlVQUKDExERPDwcAADysWaYVMjIylJKSovj4eA0fPlw5OTmqqqpSampqcwwHAAA8qFmSg0mTJun06dPKzMxUaWmpBg8erPz8/DqLFOtjt9uVlZVV71QDLo/vr+n47pqO7849fH9Nx3fXPGyGL93PEQAANDsevAQAAExIDgAAgAnJAQAAMCE5AAAAJiQHAADApNUlB6tWrVJsbKyCg4OVkJCg3bt3ezukVi87O1vDhg1Thw4dFBERoQkTJujIkSPeDssnPf7447LZbJo1a5a3Q/EZp06d0rRp09S5c2eFhIRowIAB2rt3r7fDavUcDofmz5+vuLg4hYSEqGfPnlq4cGGLPEDIF23fvl3jx49XdHS0bDabNm3aZHrfMAxlZmaqa9euCgkJUVJSkj7++GPvBPsj0KqSg7y8PGVkZCgrK0v79u3ToEGDlJycrPLycm+H1qq99957SktL065du7R161ZduHBBY8aMUVVVlbdD8yl79uzR008/rYEDB3o7FJ/x1VdfaeTIkWrbtq3efvttffTRR1q2bJk6duzo7dBavSVLlmj16tVauXKlDh06pCVLlmjp0qVasWKFt0NrlaqqqjRo0CCtWrWq3veXLl2qp556Srm5uXr//fd1xRVXKDk5WefPt+6n6LZaRisyfPhwIy0tzfXa4XAY0dHRRnZ2thej8j3l5eWGJOO9997zdig+4+uvvzZ69eplbN261Rg1apQxc+ZMb4fkEx566CHj+uuv93YYPmns2LHG3XffbWr7z//8T2Pq1Kleish3SDI2btzoeu10Oo2oqCjjiSeecLWdPXvWsNvtxksvveSFCH1fq6kc1NTUqLi4WElJSa62gIAAJSUlqaioyIuR+Z6KigpJatanlP3YpKWlaezYsaZ//nB5b7zxhuLj4zVx4kRFRERoyJAhWrt2rbfD8gkjRoxQQUGBjh49Kkn68MMPtWPHDv385z/3cmS+58SJEyotLTX9+xsWFqaEhAR+P5rI649srnXmzBk5HI46t1iOjIzU4cOHvRSV73E6nZo1a5ZGjhyp/v37ezscn/Dyyy9r37592rNnj7dD8TnHjx/X6tWrlZGRoXnz5mnPnj26//77FRQUpJSUFG+H16rNmTNHlZWV6t27twIDA+VwOPTYY49p6tSp3g7N55SWlkpSvb8fte+hcVpNcgDPSEtL08GDB7Vjxw5vh+ITSkpKNHPmTG3dutWvHsfqKU6nU/Hx8Vq8eLEkaciQITp48KByc3NJDi7jlVde0YsvvqgNGzaoX79+2r9/v2bNmqXo6Gi+O3hdq5lWCA8PV2BgoMrKykztZWVlioqK8lJUviU9PV1vvfWWtm3bpquuusrb4fiE4uJilZeX67rrrlObNm3Upk0bvffee3rqqafUpk0bORwOb4fYqnXt2lV9+/Y1tfXp00cnT570UkS+48EHH9ScOXM0efJkDRgwQHfeeadmz56t7Oxsb4fmc2p/I/j98JxWkxwEBQVp6NChKigocLU5nU4VFBQoMTHRi5G1foZhKD09XRs3btS7776ruLg4b4fkM26++WYdOHBA+/fvdx3x8fGaOnWq9u/fr8DAQG+H2KqNHDmyzrbZo0ePqkePHl6KyHd88803Cggw/yc4MDBQTqfTSxH5rri4OEVFRZl+PyorK/X+++/z+9FErWpaISMjQykpKYqPj9fw4cOVk5Ojqqoqpaameju0Vi0tLU0bNmzQ66+/rg4dOrjm2MLCwhQSEuLl6Fq3Dh061FmbccUVV6hz586s2bBg9uzZGjFihBYvXqzbb79du3fv1po1a7RmzRpvh9bqjR8/Xo899pi6d++ufv366YMPPtDy5ct19913ezu0VuncuXM6duyY6/WJEye0f/9+derUSd27d9esWbO0aNEi9erVS3FxcZo/f76io6M1YcIE7wXty7y9XeKHVqxYYXTv3t0ICgoyhg8fbuzatcvbIbV6kuo9nn32WW+H5pPYytg4b775ptG/f3/DbrcbvXv3NtasWePtkHxCZWWlMXPmTKN79+5GcHCwcfXVVxt//OMfjerqam+H1ipt27at3v/OpaSkGIZxcTvj/PnzjcjISMNutxs333yzceTIEe8G7cNshsHtuAAAwL+1mjUHAACgdSA5AAAAJiQHAADAhOQAAACYkBwAAAATkgMAAGBCcgAAAExIDgAAgAnJAQAAMCE5AAAAJiQHAADA5P8DDTarNqmgsyAAAAAASUVORK5CYII=", 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", 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", 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", 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", 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", 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", + "image/png": 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", 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", 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", 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", 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", 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", 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", 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", 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", 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", 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", 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HbLLL5tZ4f0FyAACABQ7jwuHOeH9BWwEAAJhQOQAAwAK7m20Fd8Y2NZIDAAAsCKTkgLYCAAAwoXIAAIAFDsMmh+HG0wpujG1qJAcAAFhAWwEAAAQsKgcAAFhgV5DsbvxNbfdgLI2N5AAAAAsMN9ccGKw5AADg6sKaAwAAELCoHAAAYIHdCJLdcGPNgR+9W4HkAAAACxyyyeFGwd0h/8kOaCsAAAATKgcAAFgQSAsSSQ4AwAds3LfV2yHU6e6ew70dQp2+N2okHW6Sudxfc0BbAQAA+CkqBwAAWHBhQaIbL16irQAAwNXF4eb2yTytAAAA/BaVAwAALAikBYkkBwAAWOBQUMBsgkRyAACABXbDJrsbb1Z0Z2xTY80BAAAwoXIAAIAFdjefVrDTVgAA4OriMILkcGNBosOPFiTSVgAAACZUDgAAsIC2AgAAMHHIvScOHJ4LpdHRVgAAACZUDgAAsMD9TZD85+9xkgMAACxwf/tk/0kO/CdSAADQJKgcAABggUM2OeTOgkT/2T6Z5AAAAAsCqa1AcgAAgAXu73PgP8mB/0QKAACaBJUDAAAscBg2OdzZBMmPXtlMcgAAgAUON9sK/rTPgf9ECgAAmgSVAwAALHD/lc3+8/c4yQEAABbYZZPdjb0K3Bnb1PwnjQEAAE2CygEAABYEUlvBfyIFAMCL7PqxtdCwo2GWLVum+Ph4hYWFKSkpSTt37rzs9UuWLNGNN96o8PBwxcXFafr06Tp37ly95iQ5AADAR61du1aZmZnKycnRnj171K9fP6WkpOjEiRMur1+zZo1mzpypnJwc7d+/X3/+85+1du1aPf744/Wal+QAAAALLrYV3Dnqa/HixZo8ebLS0tLUs2dP5eXlqUWLFlq1apXL63fs2KFhw4bp/vvvV3x8vEaOHKnx48dfsdrwUyQHAABYcPHFS+4cklRZWWk6qqurXc5XU1Oj4uJiJScnO88FBQUpOTlZRUVFLscMHTpUxcXFzmTg8OHD2rhxo+6+++56/aweTw7sdruysrKUkJCg8PBwde3aVXPnzpVhGJ6eCgCAJmP88Mrmhh7GD48yxsXFKTIy0nnk5ua6nO/UqVOy2+2Kjo42nY+OjlZZWZnLMffff7+efPJJ3XzzzWrevLm6du2qESNG1Lut4PGnFRYuXKjly5fr5ZdfVq9evbR7926lpaUpMjJSjz76qKenAwDAr5SWlioiIsL5dWhoqMfuXVhYqAULFui//uu/lJSUpEOHDmnq1KmaO3eusrKyLN/H48nBjh079POf/1yjRo2SJMXHx+v111+vd78DAABfcmlroKHjJSkiIsKUHNSlXbt2Cg4OVnl5uel8eXm5YmJiXI7JysrSAw88oN/85jeSpD59+qiqqkoPPfSQ/vjHPyooyFr8Hm8rDB06VAUFBTp48KAk6dNPP9X27dt11113uby+urq6Vv8FAABfc/GtjO4c9RESEqKBAweqoKDgxxgcDhUUFGjIkCEux3z77be1EoDg4GBJqld73+OVg5kzZ6qyslLdu3dXcHCw7Ha75s+frwkTJri8Pjc3V3PmzPF0GABgsnHfVm+HcFl39xzu7RDggzIzM5WamqrExEQNHjxYS5YsUVVVldLS0iRJkyZNUseOHZ3rFsaMGaPFixfrpptucrYVsrKyNGbMGGeSYIXHk4M333xTr732mtasWaNevXpp7969mjZtmmJjY5Wamlrr+lmzZikzM9P5dWVlpeLi4jwdFgAAbrG7+crmhowdN26cTp48qezsbJWVlal///7Kz893LlIsKSkxVQpmz54tm82m2bNn6/jx42rfvr3GjBmj+fPn12tem+Hhxwji4uI0c+ZMpaenO8/NmzdPf/nLX/TFF19ccXxlZaUiIyN1R+tJamYL8WRoAAIYlYOr0/dGjQpOv6KKigpLffyGuPi59Oj2nyv0muYNvk/12fN67ua3GzVWT/H4moO6+h0Oh8PTUwEAgEbg8bbCxfJF586d1atXL33yySdavHixHnzwQU9PBQBAk3EoSA43/qZ2Z2xT83hysHTpUmVlZWnKlCk6ceKEYmNj9fDDDys7O9vTUwEA0GTshk32ej5x8NPx/sLjyUGrVq20ZMkSLVmyxNO3BgAATcDjyQEAAFejhuxV8NPx/oLkAAAAC4wGvlnx0vH+guQAAAAL7LLJLjfWHLgxtqn5TxoDAACaBJUDAAAscBjurRtweHTLwcZFcgAAgAUON9ccuDO2qflPpAAAoElQOQAAwAKHbHK4sajQnbFNjeQAAAALAmmHRNoKAADAhMoBAAAWBNKCRJIDAAAscMjN7ZP9aM2B/6QxAACgSVA5AADAAsPNpxUMP6ockBwAAGABb2UEAAAmgbQg0X8iBQAATYLKAQAAFtBWAAAAJoG0fTJtBQAAYELlAAAAC2grAAAAk0BKDmgrAAAAEyoHAABYEEiVA5IDAAAsCKTkgLYCAAAwoXIAAIAFhtzbq8DwXCiNjuQAAAALAqmtQHIAAIAFgZQcsOYAAACYUDkA4BEb9231dgiXdXfP4d4OAX4ukCoHJAcAAFgQSMkBbQUAAGBC5QAAAAsMwybDjb/+3Rnb1EgOAACwwCGbW/scuDO2qdFWAAAAJlQOAACwIJAWJJIcAABgQSCtOaCtAAAATKgcAABgAW0FAABgEkhtBZIDAAAsMNysHPhTcsCaAwAAYELlAAAACwxJhuHeeH9BcgAAgAUO2WRjh0QAABCIqBwAAGABTysAAAATh2GTLUD2OaCtAAAATKgcAABggWG4+bSCHz2uQHIAAIAFgbTmgLYCAAAwoXIAAIAFgVQ5IDkAAMCCQHpageQAAAALAmlBImsOAACACckBAAAWXKgc2Nw4GjbvsmXLFB8fr7CwMCUlJWnnzp2Xvf706dNKT09Xhw4dFBoaqhtuuEEbN26s15y0FQAAsMAbCxLXrl2rzMxM5eXlKSkpSUuWLFFKSooOHDigqKioWtfX1NToX//1XxUVFaW33npLHTt21LFjx9S6det6zUtyAACAj1q8eLEmT56stLQ0SVJeXp42bNigVatWaebMmbWuX7Vqlb7++mvt2LFDzZs3lyTFx8fXe17aCgAAWGB44JCkyspK01FdXe1yvpqaGhUXFys5Odl5LigoSMnJySoqKnI55p133tGQIUOUnp6u6Oho9e7dWwsWLJDdbq/Xz0pyAACABe6tN/ixJREXF6fIyEjnkZub63K+U6dOyW63Kzo62nQ+OjpaZWVlLsccPnxYb731lux2uzZu3KisrCwtWrRI8+bNq9fPSlsBAIAmVFpaqoiICOfXoaGhHru3w+FQVFSUVqxYoeDgYA0cOFDHjx/XM888o5ycHMv3ITkAAMCKS3sDDR0vKSIiwpQc1KVdu3YKDg5WeXm56Xx5ebliYmJcjunQoYOaN2+u4OBg57kePXqorKxMNTU1CgkJsRRqo7QVjh8/rokTJ6pt27YKDw9Xnz59tHv37saYCgCApuFuS6GeTyuEhIRo4MCBKigocJ5zOBwqKCjQkCFDXI4ZNmyYDh06JIfD4Tx38OBBdejQwXJiIDVCcvDNN99o2LBhat68ud5//33t27dPixYtUps2bTw9FQAATebiDonuHPWVmZmplStX6uWXX9b+/fv1yCOPqKqqyvn0wqRJkzRr1izn9Y888oi+/vprTZ06VQcPHtSGDRu0YMECpaen12tej7cVFi5cqLi4OL300kvOcwkJCZ6eBgCAq964ceN08uRJZWdnq6ysTP3791d+fr5zkWJJSYmCgn78Oz8uLk6bNm3S9OnT1bdvX3Xs2FFTp07VjBkz6jWvx5ODd955RykpKbrnnnu0detWdezYUVOmTNHkyZNdXl9dXW16jKOystLTIQEA4DZvvZUxIyNDGRkZLr9XWFhY69yQIUP00UcfNWiuizyeHBw+fFjLly9XZmamHn/8ce3atUuPPvqoQkJClJqaWuv63NxczZkzx9NhAFeljfu2ejuEOt3dc7i3QwAaVwPWDdQa7yc8vubA4XBowIABWrBggW666SY99NBDmjx5svLy8lxeP2vWLFVUVDiP0tJST4cEAADqweOVgw4dOqhnz56mcz169NB///d/u7w+NDTUo894AgDQGALplc0eTw6GDRumAwcOmM4dPHhQXbp08fRUAAA0HQ/tc+APPN5WmD59uj766CMtWLBAhw4d0po1a7RixYp6P0YBAAC8w+PJwaBBg7Ru3Tq9/vrr6t27t+bOnaslS5ZowoQJnp4KAIAm46l3K/iDRtk+efTo0Ro9enRj3BoAAO/xo9aAO3grIwAAMOHFSwAAWOCtTZC8geQAAAArAuhpBZIDAAAssf1wuDPeP7DmAAAAmFA5AADACtoKAADAJICSA9oKAADAhMoBAABWBNArm0kOAACwIJDeykhbAQAAmFA5AADAigBakEhyAACAFQG05oC2AgAAMKFyAACABTbjwuHOeH9BcgAAgBWsOQAAACasOQAAAIGKygEAAFbQVgAAACYBlBzQVgAAACZUDgAAsCKAKgckBwAAWMHTCgAAIFBROQAAwAJ2SAQAAGYBtOaAtgIAADAhOQAAACa0FQAAsMAmN9cceCySxkdyAFxi476t3g7hsu7uOdzbIQCBi0cZAQBAoKJyAACAFQH0tALJAQAAVgRQckBbAQAAmFA5AADAAnZIBAAAZrQVAABAoKJyAACAFQFUOSA5AADAgkBac0BbAQAAmFA5AADAigDaPpnkAAAAK1hzAAAALsWaAwAAELCoHAAAYAVtBQAAYOJmW8GfkgPaCgAAwITKAQAAVtBWAAAAJgGUHNBWAAAAJlQOAACwgH0OAABAwCI5AAAAJiQHAABYYXjgaIBly5YpPj5eYWFhSkpK0s6dOy2Ne+ONN2Sz2TR27Nh6z0lyAACABRfXHLhz1NfatWuVmZmpnJwc7dmzR/369VNKSopOnDhx2XFHjx7VY489pltuuaVBPyvJAQAAVnmgalBZWWk6qqur65xu8eLFmjx5stLS0tSzZ0/l5eWpRYsWWrVqVZ1j7Ha7JkyYoDlz5ui6665r0I9JcgAAQBOKi4tTZGSk88jNzXV5XU1NjYqLi5WcnOw8FxQUpOTkZBUVFdV5/yeffFJRUVH69a9/3eAYeZQRAAArPLQJUmlpqSIiIpynQ0NDXV5+6tQp2e12RUdHm85HR0friy++cDlm+/bt+vOf/6y9e/e6ESjJAQAAlnhqn4OIiAhTcuApZ86c0QMPPKCVK1eqXbt2bt2L5AAAAB/Url07BQcHq7y83HS+vLxcMTExta7/5z//qaNHj2rMmDHOcw6HQ5LUrFkzHThwQF27drU0N2sOAACwookfZQwJCdHAgQNVUFDgPOdwOFRQUKAhQ4bUur579+767LPPtHfvXufxs5/9TLfddpv27t2ruLg4y3NTOQAAwAJvbJ+cmZmp1NRUJSYmavDgwVqyZImqqqqUlpYmSZo0aZI6duyo3NxchYWFqXfv3qbxrVu3lqRa56+E5AAAAB81btw4nTx5UtnZ2SorK1P//v2Vn5/vXKRYUlKioCDPNwEava3w1FNPyWazadq0aY09FQAAjcdLOyRmZGTo2LFjqq6u1scff6ykpCTn9woLC7V69eo6x65evVrr16+v95yNWjnYtWuXXnjhBfXt27cxpwEAoPF56FFGf9BolYOzZ89qwoQJWrlypdq0aVPnddXV1bV2iwIAAN7TaJWD9PR0jRo1SsnJyZo3b16d1+Xm5mrOnDm1zjuu6yhHcFhjhecWY/dn3g7hsv752k3eDqFOh25b7e0QLuvunsO9HQIAH+WNBYne0iiVgzfeeEN79uypc0vIS82aNUsVFRXOo7S0tDFCAgDAPV5ac+ANHq8clJaWaurUqdq8ebPCwq78l39oaGidW0cCAOAzAmjNgceTg+LiYp04cUIDBgxwnrPb7dq2bZuef/55VVdXKzg42NPTAgAAD/F4cnDHHXfos8/MPfm0tDR1795dM2bMIDEAAPilQFpz4PHkoFWrVrV2YmrZsqXatm1b7x2aAADwGQHUVuDdCgAAwKRJtk8uLCxsimkAAGg0tBUAAIAZbQUAABCoqBwAAGBFAFUOSA4AALDA9sPhznh/QVsBAACYUDkAAMAK2goAAOBSPMoIAADMAqhywJoDAABgQuUAAACr/Oivf3eQHAAAYEEgrTmgrQAAAEyoHAAAYEUALUgkOQAAwALaCgAAIGBROQAAwAraCgAA4FK0FQAAQMCicgAAgBW0FQAAgAnJAQAAuBRrDgAAQMCicgAAgBW0FQAAwKVshiGb0fBPeHfGNjXaCgAAwITKAQAAVtBWAAAAl+JpBQAAELCoHAAAYAVtBe8L/r+vFBwU4u0wXOvW1dsRXNah21Z7O4Q6Xb/lV94O4bJu0BFvhwDAR9FWAAAAActnKwcAAPgU2goAAOBSgdRWIDkAAMCKAKocsOYAAACYUDkAAMAif2oNuIPkAAAAKwzjwuHOeD9BWwEAAJhQOQAAwAKeVgAAAGY8rQAAAAIVlQMAACywOS4c7oz3FyQHAABYQVsBAAAEKioHAABYwNMKAADALIA2QSI5AADAgkCqHLDmAAAAmFA5AADACp5WAAAAl7rYVnDnaIhly5YpPj5eYWFhSkpK0s6dO+u8duXKlbrlllvUpk0btWnTRsnJyZe9vi4kBwAA+Ki1a9cqMzNTOTk52rNnj/r166eUlBSdOHHC5fWFhYUaP368tmzZoqKiIsXFxWnkyJE6fvx4veYlOQAAwIqLTyu4c9TT4sWLNXnyZKWlpalnz57Ky8tTixYttGrVKpfXv/baa5oyZYr69++v7t2768UXX5TD4VBBQUG95iU5AADAAk+1FSorK01HdXW1y/lqampUXFys5ORk57mgoCAlJyerqKjIUszffvutzp8/r2uvvbZePyvJAQAATSguLk6RkZHOIzc31+V1p06dkt1uV3R0tOl8dHS0ysrKLM01Y8YMxcbGmhIMK3haAQAAKzz0tEJpaakiIiKcp0NDQ90Kqy5PPfWU3njjDRUWFiosLKxeY0kOAACwwFObIEVERJiSg7q0a9dOwcHBKi8vN50vLy9XTEzMZcf+6U9/0lNPPaUPPvhAffv2rXestBUAAPBBISEhGjhwoGkx4cXFhUOGDKlz3NNPP625c+cqPz9fiYmJDZqbygEAAFY4jAuHO+PrKTMzU6mpqUpMTNTgwYO1ZMkSVVVVKS0tTZI0adIkdezY0bluYeHChcrOztaaNWsUHx/vXJtwzTXX6JprrrE8L8kBAABWeGGHxHHjxunkyZPKzs5WWVmZ+vfvr/z8fOcixZKSEgUF/dgEWL58uWpqavTLX/7SdJ+cnBw98cQTluclOQAAwAKb3Fxz0MBxGRkZysjIcPm9wsJC09dHjx5t4CxmrDkAAAAmVA4AALCigbscmsb7CZIDAAAs8NSjjP7A422F3NxcDRo0SK1atVJUVJTGjh2rAwcOeHoaAADQSDyeHGzdulXp6en66KOPtHnzZp0/f14jR45UVVWVp6cCAKDpGB44/ITH2wr5+fmmr1evXq2oqCgVFxfr1ltvrXV9dXW16aUTlZWVng4JAAC32QxDNjfWDbgztqk1+pqDiooKSarzjVC5ubmaM2dOrfMHn4xRUIv67QXdVP55x0veDuGyRg3/d2+HUKeu//jE2yFcXuvW3o4AALyuUR9ldDgcmjZtmoYNG6bevXu7vGbWrFmqqKhwHqWlpY0ZEgAADePwwOEnGrVykJ6ers8//1zbt2+v85rQ0NBGeyMVAACeQlvBAzIyMvTee+9p27Zt6tSpU2NNAwAAPMzjyYFhGPrtb3+rdevWqbCwUAkJCZ6eAgCApueFdyt4i8eTg/T0dK1Zs0Zvv/22WrVq5XwjVGRkpMLDwz09HQAATSOAdkj0+ILE5cuXq6KiQiNGjFCHDh2cx9q1az09FQAATebiDonuHP6iUdoKAADAf/FuBQAArAigtgLJAQAAFtgcFw53xvuLRt0ECQAA+B8qBwAAWEFbAQAAmATQPge0FQAAgAmVAwAALODdCgAAwCyA1hzQVgAAACZUDgAAsMKQ5M5eBf5TOCA5AADACtYcAAAAM0NurjnwWCSNjjUHAADAhMoBAABWBNDTCiQHAABY4ZBkc3O8n6CtAAAATKgcAABgAU8rAAAAswBac0BbAQAAmFA5AADAigCqHJAcAABgRQAlB7QVAACACZUDAACsCKB9DkgOAACwgEcZAQCAGWsOAABAoKJyAACAFQ5Dsrnx17/DfyoHJAcAAFhBWwEAAAQqn60cfDriL4poFeztMFzqWpDm7RAuq/vZ//N2CHWyJfbxdgiXd6jU2xEA8FluVg7kP5UDn00OAADwKbQVAABAoKJyAACAFQ5DbrUGeFoBAICrjOG4cLgz3k/QVgAAACZUDgAAsCKAFiSSHAAAYAVrDgAAgEkAVQ5YcwAAAEyoHAAAYIUhNysHHouk0ZEcAABgBW0FAAAQqKgcAABghcMhyY2NjBz+swkSyQEAAFbQVgAAAIGKygEAAFZQOQAAACYOw/2jAZYtW6b4+HiFhYUpKSlJO3fuvOz1f/3rX9W9e3eFhYWpT58+2rhxY73nJDkAAMBHrV27VpmZmcrJydGePXvUr18/paSk6MSJEy6v37Fjh8aPH69f//rX+uSTTzR27FiNHTtWn3/+eb3mJTkAAMACw3C4fdTX4sWLNXnyZKWlpalnz57Ky8tTixYttGrVKpfXP/vss7rzzjv1+9//Xj169NDcuXM1YMAAPf/88/Wal+QAAAArDDdbCj+sOaisrDQd1dXVLqerqalRcXGxkpOTneeCgoKUnJysoqIil2OKiopM10tSSkpKndfXheQAAAArLi5IdOeQFBcXp8jISOeRm5vrcrpTp07JbrcrOjradD46OlplZWUux5SVldXr+rrwtAIAAE2otLRUERERzq9DQ0O9GI1rJAcAAFjhcEg2N3Y5/GHNQUREhCk5qEu7du0UHBys8vJy0/ny8nLFxMS4HBMTE1Ov6+tCWwEAACs81FawKiQkRAMHDlRBQYHznMPhUEFBgYYMGeJyzJAhQ0zXS9LmzZvrvL4uVA4AAPBRmZmZSk1NVWJiogYPHqwlS5aoqqpKaWlpkqRJkyapY8eOznULU6dO1fDhw7Vo0SKNGjVKb7zxhnbv3q0VK1bUa16SAwAALDAcDhlutBUa8ijjuHHjdPLkSWVnZ6usrEz9+/dXfn6+c9FhSUmJgoJ+bAIMHTpUa9as0ezZs/X444+rW7duWr9+vXr37l2veUkOAACwwjAkNf32yRkZGcrIyHD5vcLCwlrn7rnnHt1zzz0Nmusi1hwAAAATKgcAAFjhMCRbYLx4ieQAAAArDEOSO48y+k9yQFsBAACYUDkAAMACw2HIcKOtYFA5qP/7pwEA8GmGw/3DTzRKclDf908DAODrDIfh9uEvGiU5qO/7pwEAgO/w+JqDi++fnjVrlvPc5d4/XV1dbXqXdUVFhSSp8qzvll8c357zdgiX9b2jxtsh1Mlu9+3fXZDhu787ALV9/8O/s03Rz//eqHarNfC9znswmsbl8eTgcu+f/uKLL2pdn5ubqzlz5tQ632XAUU+H5kFPejuAyyrxdgCXU79XigOAJV999ZUiIyMb5d4hISGKiYnR9rKNbt8rJiZGISEhHoiqcXn9aYVZs2YpMzPT+fXp06fVpUsXlZSUNNo/6KtZZWWl4uLiar0vHFfG767h+N25h99fw1VUVKhz58669tprG22OsLAwHTlyRDU17lcWQ0JCFBYW5oGoGpfHk4P6vn86NDRUoaGhtc5HRkbyL4kbrL4vHLXxu2s4fnfu4ffXcJe+fKgxhIWF+cWHuqd4/LfZkPdPAwAA39EobYUrvX8aAAD4rkZJDq70/unLCQ0NVU5OjstWA66M31/D8btrOH537uH313D87hqHzfCn/RwBAECj48VLAADAhOQAAACYkBwAAAATkgMAAGBCcgAAAEx8LjlYtmyZ4uPjFRYWpqSkJO3cudPbIfm83NxcDRo0SK1atVJUVJTGjh2rAwcOeDssv/TUU0/JZrNp2rRp3g7Fbxw/flwTJ05U27ZtFR4erj59+mj37t3eDsvn2e12ZWVlKSEhQeHh4eratavmzp3bJC8Q8kfbtm3TmDFjFBsbK5vNpvXr15u+bxiGsrOz1aFDB4WHhys5OVn/+Mc/vBPsVcCnkoO1a9cqMzNTOTk52rNnj/r166eUlBSdOHHC26H5tK1btyo9PV0fffSRNm/erPPnz2vkyJGqqqrydmh+ZdeuXXrhhRfUt29fb4fiN7755hsNGzZMzZs31/vvv699+/Zp0aJFatOmjbdD83kLFy7U8uXL9fzzz2v//v1auHChnn76aS1dutTbofmkqqoq9evXT8uWLXP5/aefflrPPfec8vLy9PHHH6tly5ZKSUnRuXO+/SZYn2X4kMGDBxvp6enOr+12uxEbG2vk5uZ6MSr/c+LECUOSsXXrVm+H4jfOnDljdOvWzdi8ebMxfPhwY+rUqd4OyS/MmDHDuPnmm70dhl8aNWqU8eCDD5rO/fu//7sxYcIEL0XkPyQZ69atc37tcDiMmJgY45lnnnGeO336tBEaGmq8/vrrXojQ//lM5aCmpkbFxcVKTk52ngsKClJycrKKioq8GJn/qaiokKRGfUvZ1SY9PV2jRo0y/f8PV/bOO+8oMTFR99xzj6KionTTTTdp5cqV3g7LLwwdOlQFBQU6ePCgJOnTTz/V9u3bddddd3k5Mv9z5MgRlZWVmf79jYyMVFJSEp8fDeT1VzZfdOrUKdnt9lpbLEdHR+uLL77wUlT+x+FwaNq0aRo2bJh69+7t7XD8whtvvKE9e/Zo165d3g7F7xw+fFjLly9XZmamHn/8ce3atUuPPvqoQkJClJqa6u3wfNrMmTNVWVmp7t27Kzg4WHa7XfPnz9eECRO8HZrfKSsrkySXnx8Xv4f68ZnkAJ6Rnp6uzz//XNu3b/d2KH6htLRUU6dO1ebNmwPqdaye4nA4lJiYqAULFkiSbrrpJn3++efKy8sjObiCN998U6+99prWrFmjXr16ae/evZo2bZpiY2P53cHrfKat0K5dOwUHB6u8vNx0vry8XDExMV6Kyr9kZGTovffe05YtW9SpUydvh+MXiouLdeLECQ0YMEDNmjVTs2bNtHXrVj333HNq1qyZ7Ha7t0P0aR06dFDPnj1N53r06KGSkhIvReQ/fv/732vmzJm677771KdPHz3wwAOaPn26cnNzvR2a37n4GcHnh+f4THIQEhKigQMHqqCgwHnO4XCooKBAQ4YM8WJkvs8wDGVkZGjdunX68MMPlZCQ4O2Q/MYdd9yhzz77THv37nUeiYmJmjBhgvbu3avg4GBvh+jThg0bVuux2YMHD6pLly5eish/fPvttwoKMv8nODg4WA6Hw0sR+a+EhATFxMSYPj8qKyv18ccf8/nRQD7VVsjMzFRqaqoSExM1ePBgLVmyRFVVVUpLS/N2aD4tPT1da9as0dtvv61WrVo5e2yRkZEKDw/3cnS+rVWrVrXWZrRs2VJt27ZlzYYF06dP19ChQ7VgwQLde++92rlzp1asWKEVK1Z4OzSfN2bMGM2fP1+dO3dWr1699Mknn2jx4sV68MEHvR2aTzp79qwOHTrk/PrIkSPau3evrr32WnXu3FnTpk3TvHnz1K1bNyUkJCgrK0uxsbEaO3as94L2Z95+XOKnli5danTu3NkICQkxBg8ebHz00UfeDsnnSXJ5vPTSS94OzS/xKGP9vPvuu0bv3r2N0NBQo3v37saKFSu8HZJfqKysNKZOnWp07tzZCAsLM6677jrjj3/8o1FdXe3t0HzSli1bXP53LjU11TCMC48zZmVlGdHR0UZoaKhxxx13GAcOHPBu0H7MZhhsxwUAAH7kM2sOAACAbyA5AAAAJiQHAADAhOQAAACYkBwAAAATkgMAAGBCcgAAAExIDgAAgAnJAQAAMCE5AAAAJiQHAADA5P8DkuJ44fgUEfkAAAAASUVORK5CYII=", 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", 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", 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i3HLLl+/+9Wl9sc/cb7/9VgcPHvT8PCUlRWvXrtXEiRO1cOFCdejQQX/9618tPRn2QgG3fXJ5ebliY2N1vfM3gTvnIMAn1TEhsf7CvBiTs4P79Gm7Q6iVs/vP7A6hbgE+56AyoeEm1Pmq8IXn7A6hVuUnXGr5s/0qKytrsHH8859L/7eng88TEhOv+t8GjdVfbF+tAABAMHAZhlw+fJ/2pW1jIzkAAMACO+Yc2CWw15UBAIBGR+UAAAAL3DLkCpHKAckBAAAWMKwAAABCFpUDAAAsYLUCAAAwcf94+NI+WDCsAAAATKgcAABggcvH1Qq+tG1sJAcAAFjgMs4dvrQPFiQHAABYwJwDAAAQsqgcAABggVsOuVT/p3u6fWjb2EgOAACwwG2cO3xpHywYVgAAACZUDgAAsMDl47CCL20bG8kBAAAWhFJywLACAAAwoXIAAIAFbsMht+HDagUf2jY2kgMAACxgWAEAAIQsKgcAAFjgUphcPnyndvkxloZGcgAAgAWGj3MODOYcAABwaWHOAQAACFlUDgAAsMBlhMll+DDnIIierUByAACABW455Pah4O5W8GQHDCsAAAATKgcAAFgQShMSAzY5CIuJVlhYuN1h1Mj1fZndIdTJ2aql3SHU6oej39kdQp3C2sXbHUKdSoYl2h1CraL/N7BXcV8zbbvdIdTp6YSddodQqxvH3Gd3CLX64YczkmY0Sl++zzlgWAEAAASpgK0cAAAQSM5NSPThwUsMKwAAcGlx+7h9MqsVAABA0KJyAACABaE0IZHkAAAAC9wKC5lNkEgOAACwwGU45PLhyYq+tG1szDkAAAAmVA4AALDA5eNqBRfDCgAAXFrcRpjcPkxIdAfRhESGFQAAgAmVAwAALGBYAQAAmLjl24oDt/9CaXAMKwAAABMqBwAAWOD7JkjB832c5AAAAAt83z45eJKD4IkUAAA0CioHAABY4JZDbvkyITF4tk8mOQAAwIJQGlYgOQAAwALf9zkInuQgeCIFAACNgsoBAAAWuA2H3L5sghREj2wmOQAAwAK3j8MKwbTPQfBECgAAGgWVAwAALPD9kc3B832c5AAAAAtccsjlw14FvrRtbMGTxgAAgEZB5QAAAAsYVgAAACYu+TY04PJfKA0ueNIYAADQKKgcAABgQSgNKwRPpAAA2Oj8g5d8OepjyZIlSk5OVmRkpAYMGKCtW7fWef2CBQt01VVXKSoqSklJSZo4caLOnDnjVZ9+Tw5cLpemTZumlJQURUVFqXPnzpo1a5YMw/B3VwAANBrjx0c21/cw6jFfYfXq1crJyVFubq527typ3r17Kz09XYcPH67x+lWrVmny5MnKzc3V7t279dxzz2n16tV6/PHHverX78MK8+bN09KlS/W3v/1N3bt31/bt25WZmanY2Fg9/PDD/u4OAIBL1vz58zV27FhlZmZKkvLz87V27VqtWLFCkydPrnb9Rx99pMGDB+uuu+6SJCUnJ2vUqFHasmWLV/36vXLw0Ucf6d///d81bNgwJScn67bbbtNNN9100TIIAACBzF/DCuXl5aajsrKyxv6qqqq0Y8cOpaWlec6FhYUpLS1NRUVFNbYZNGiQduzY4fnM3b9/v9atW6df/epXXv2ufk8OBg0apMLCQu3du1eS9Omnn2rz5s26+eaba7y+srKy2hsFAECgOf9URl8OSUpKSlJsbKznyMvLq7G/o0ePyuVyKT4+3nQ+Pj5eJSUlNba566679Oc//1nXXnutmjZtqs6dO2vo0KH2DytMnjxZ5eXl6tKli5xOp1wul2bPnq3Ro0fXeH1eXp5mzpxZ/QeGIbkDc56C87LmdodQt1Yt7I6gVk2aB/h7F+DKugbuSmmH22l3CHV6OmGn3SHU6Y8lfe0OoVYRJSfsDqFWTlfN37oDWXFxsWJiYjyvIyIi/HbvjRs3as6cOfrLX/6iAQMGaN++fRo/frxmzZqladOmWb6P35ODV155RS+99JJWrVql7t27a9euXZowYYISExOVkZFR7fopU6YoJyfH87q8vFxJSUn+DgsAAJ+4fHxk8/m2MTExpuSgNm3atJHT6VRpaanpfGlpqRISEmpsM23aNN1zzz36/e9/L0nq2bOnKioqdP/99+tPf/qTwsKsxe/35ODRRx/V5MmTNXLkSE9g33zzjfLy8mpMDiIiIvyaNQEA0BAuHBqob3tvhIeHq1+/fiosLNSIESPO3cPtVmFhobKzs2tsc+rUqWoJgNN5rqrnzapBvycHtQXmdrv93RUAAJe0nJwcZWRkKDU1Vf3799eCBQtUUVHhWb0wZswYtW/f3jNvYfjw4Zo/f76uvvpqz7DCtGnTNHz4cE+SYIXfk4Phw4dr9uzZ6tixo7p3765PPvlE8+fP17333uvvrgAAaDRuhcntw7BCfdreeeedOnLkiKZPn66SkhL16dNHBQUFnkmKBw8eNH0hnzp1qhwOh6ZOnapDhw6pbdu2ns9lb/g9OVi0aJGmTZumcePG6fDhw0pMTNQDDzyg6dOn+7srAAAajctwyOXDsEJ922ZnZ9c6jLBx40bT6yZNmig3N1e5ubn16stzH59a1yA6OloLFizQggUL/H1rAADQCHjwEgAAFjT2hEQ7kRwAAGCB4eNTGY0geiojyQEAABa45JCrHg9PurB9sAieNAYAADQKKgcAAFjgNnybNxCgTwSoEckBAAAWuH2cc+BL28YWPJECAIBGQeUAAAAL3HLI7cOkQl/aNjaSAwAALLBrh0Q7MKwAAABMqBwAAGBBKE1IJDkAAMACt3zcPjmI5hwETxoDAAAaBZUDAAAsMHxcrWAEUeWA5AAAAAt4KiMAADAJpQmJwRMpAABoFFQOAACwgGEFAABgEkrbJzOsAAAATKgcAABgAcMKAADAJJSSA4YVAACACZUDAAAsCKXKAckBAAAWhFJywLACAAAwoXIAAIAFhnzbq8DwXygNjuQAAAALQmlYgeQAAAALQik5YM4BAAAwCdzKwQ8/SI7AzF3cZyrtDqFOYSVH7A6hVq6yMrtDqFNYVJTdIdSp5X8n2h1CrXZMX2p3CHXqO/tBu0Oo02X/57I7hFpdZnxvdwi1MxpvJD+UKgeBmxwAABBAQik5CMyv5gAAwDZUDgAAsMAwHDJ8+PbvS9vGRnIAAIAFbjl82ufAl7aNjWEFAABgQuUAAAALQmlCIskBAAAWhNKcA4YVAACACZUDAAAsYFgBAACYhNKwAskBAAAWGD5WDoIpOWDOAQAAMKFyAACABYZ8e85T4z0iynckBwAAWOCWQw52SAQAAKGIygEAABawWgEAAJi4DYccIbLPAcMKAADAhMoBAAAWGIaPqxWCaLkCyQEAABaE0pwDhhUAAIAJlQMAACwIpcoByQEAABaE0moFkgMAACwIpQmJzDkAAAAmVA4AALDgXOXAlzkHfgymgZEcAABgQShNSGRYAQAAmFA5AADAAuPHw5f2wYLkAAAACxhWAAAAAWHJkiVKTk5WZGSkBgwYoK1bt9Z5/fHjx5WVlaV27dopIiJCP/vZz7Ru3Tqv+qRyAACAFTaMK6xevVo5OTnKz8/XgAEDtGDBAqWnp2vPnj2Ki4urdn1VVZX+7d/+TXFxcXrttdfUvn17ffPNN2rRooVX/TZI5eDQoUO6++671bp1a0VFRalnz57avn17Q3QFAEDj+HFYob6H6jGsMH/+fI0dO1aZmZnq1q2b8vPz1axZM61YsaLG61esWKHvvvtOa9as0eDBg5WcnKwhQ4aod+/eXvXr9+Tg+++/1+DBg9W0aVO98847+uKLL/T000+rZcuW/u4KAIBGc36HRF8OSSovLzcdlZWVNfZXVVWlHTt2KC0tzXMuLCxMaWlpKioqqrHNm2++qYEDByorK0vx8fHq0aOH5syZI5fL5dXv6vdhhXnz5ikpKUnPP/+851xKSoq/uwEAICglJSWZXufm5mrGjBnVrjt69KhcLpfi4+NN5+Pj4/Xll1/WeO/9+/fr/fff1+jRo7Vu3Trt27dP48aN09mzZ5Wbm2s5Rr8nB2+++abS09N1++23a9OmTWrfvr3GjRunsWPH1nh9ZWWlKWsqLy/3d0gAAPjMX6sViouLFRMT4zkfERHhc2znud1uxcXFadmyZXI6nerXr58OHTqkp556yt7kYP/+/Vq6dKlycnL0+OOPa9u2bXr44YcVHh6ujIyMatfn5eVp5syZ1c472raWI8x/b5g/Oc/UXAIKFCdTky5+kU2anHLbHUKdTsU3tTuEOu2YvtTuEGrV788P2h1CnY738q6s2tiMMKfdIdQq6vW9dodQK5dxtvE6q+e8AVN7STExMabkoDZt2rSR0+lUaWmp6XxpaakSEhJqbNOuXTs1bdpUTue//jx17dpVJSUlqqqqUnh4uKVQ/T7nwO12q2/fvpozZ46uvvpq3X///Ro7dqzy8/NrvH7KlCkqKyvzHMXFxf4OCQCAoBMeHq5+/fqpsLDQc87tdquwsFADBw6ssc3gwYO1b98+ud3/+iK2d+9etWvXznJiIDVActCuXTt169bNdK5r1646ePBgjddHRER4siir2RQAAI3NXxMSvZGTk6Ply5frb3/7m3bv3q0HH3xQFRUVyszMlCSNGTNGU6ZM8Vz/4IMP6rvvvtP48eO1d+9erV27VnPmzFFWVpZX/fp9WGHw4MHas2eP6dzevXvVqVMnf3cFAEDjsWGfgzvvvFNHjhzR9OnTVVJSoj59+qigoMAzSfHgwYMKC/vX9/ykpCS9++67mjhxonr16qX27dtr/PjxmjRpklf9+j05mDhxogYNGqQ5c+bojjvu0NatW7Vs2TItW7bM310BAHDJy87OVnZ2do0/27hxY7VzAwcO1Mcff+xTn34fVrjmmmv0+uuv6+9//7t69OihWbNmacGCBRo9erS/uwIAoNH4sgGSrysdGluDbJ98yy236JZbbmmIWwMAYJ9gerSiD3jwEgAAMOHBSwAAWBBKj2wmOQAAwAobVivYheQAAABLHD8evrQPDsw5AAAAJlQOAACwgmEFAABgEkLJAcMKAADAhMoBAABW+OmRzcGA5AAAAAvq+2TFC9sHC4YVAACACZUDAACsCKEJiSQHAABYEUJzDhhWAAAAJlQOAACwwGGcO3xpHyxIDgAAsII5BwAAwIQ5BwAAIFRROQAAwAqGFQAAgEkIJQcMKwAAABMqBwAAWBFClQOSAwAArGC1AgAACFVUDgAAsIAdEgEAgFkIzTlgWAEAAJiQHAAAABOGFQAAsMAhH+cc+C2ShhewycH+e9opLDLS7jBqdPk/yu0OoU7/d53T7hBq9bNnj9odQp0KX3jd7hDqNPDRP9gdQq3i/vGJ3SHUKaFdvN0hBC13VJTdIdQqzHBKpxupM5YyAgCAUBWwlQMAAAJKCK1WIDkAAMCKEEoOGFYAAAAmVA4AALCAHRIBAIAZwwoAACBUUTkAAMCKEKockBwAAGBBKM05YFgBAACYUDkAAMCKENo+meQAAAArmHMAAAAuxJwDAAAQsqgcAABgBcMKAADAxMdhhWBKDhhWAAAAJlQOAACwgmEFAABgEkLJAcMKAADAhMoBAAAWsM8BAAAIWSQHAADAhGEFAACsCKEJiSQHAABYEEpzDkgOAACwKog+4H3BnAMAAGBC5QAAACuYcwAAAC4USnMOGFYAAAAmVA4AALAihIYVqBwAAGDB+WEFX476WLJkiZKTkxUZGakBAwZo69atltq9/PLLcjgcGjFihNd9khwAABCgVq9erZycHOXm5mrnzp3q3bu30tPTdfjw4Trbff3113rkkUd03XXX1avfBk8O5s6dK4fDoQkTJjR0VwAANBzDD4eX5s+fr7FjxyozM1PdunVTfn6+mjVrphUrVtTaxuVyafTo0Zo5c6Yuv/xy7ztVAycH27Zt07PPPqtevXo1ZDcAADQ8PyUH5eXlpqOysrLG7qqqqrRjxw6lpaV5zoWFhSktLU1FRUW1hvnnP/9ZcXFxuu++++r9qzZYcnDy5EmNHj1ay5cvV8uWLWu9rrKystobBQDApSopKUmxsbGeIy8vr8brjh49KpfLpfj4eNP5+Ph4lZSU1Nhm8+bNeu6557R8+XKfYmyw1QpZWVkaNmyY0tLS9MQTT9R6XV5enmbOnFntfPKb5WrirDmbspvj9Fm7Q6iT84zD7hBqtfaD1+0OoU7DfnGr3SHUqVly4P7Zc58+bXcIdQpzB/ZU8R++KbY7hNoZbrsjqJXbaLy/E/7a56C4uFgxMTGe8xERET5Gds6JEyd0zz33aPny5WrTpo1P92qQ5ODll1/Wzp07tW3btoteO2XKFOXk5Hhel5eXKykpqSHCAgCg/vy0lDEmJsaUHNSmTZs2cjqdKi0tNZ0vLS1VQkJCtev/+c9/6uuvv9bw4cM959zuc4ldkyZNtGfPHnXu3NlSqH5PDoqLizV+/HitX79ekZGRF70+IiLCb1kTAAANppH3OQgPD1e/fv1UWFjoWY7odrtVWFio7Ozsatd36dJFn332menc1KlTdeLECS1cuNCrL95+Tw527Nihw4cPq2/fvp5zLpdLH3zwgRYvXqzKyko5nU5/dwsAwCUnJydHGRkZSk1NVf/+/bVgwQJVVFQoMzNTkjRmzBi1b99eeXl5ioyMVI8ePUztW7RoIUnVzl+M35ODG2+8sVrmkpmZqS5dumjSpEkkBgCAoGTHsxXuvPNOHTlyRNOnT1dJSYn69OmjgoICzyTFgwcPKizM/2sL/J4cREdHV8tQmjdvrtatW3uduQAAEDBs2j45Ozu7xmEESdq4cWOdbVeuXFmvPtkhEQAAmDTKg5cultkAABDoQumRzTyVEQAAK3gqIwAACFVUDgAAsCKEKgckBwAAWOD48fClfbBgWAEAAJhQOQAAwAqGFQAAwIVYyggAAMxCqHLAnAMAAGBC5QAAAKuC6Nu/L0gOAACwIJTmHDCsAAAATKgcAABgRQhNSCQ5AADAAoYVAABAyKJyAACAFQwrAACACzGsAAAAQhaVAwAArGBYAQAAmJAcAACACzHnAAAAhCwqBwAAWMGwAgAAuJDDMOQw6v8J70vbxsawAgAAMKFyAACAFQwrAACAC7FaAQAAhCwqBwAAWMGwgv0OjHcqrFlghtfpL+F2h1CnL+9bancItery3IN2h1An1wOB/bc38f+57A6hVhGxsXaHULeIpnZHUKcmbVrZHUKtXN99b3cItXIYbqmR/lowrAAAAEJWYH41BwAg0DCsAAAALhRKwwokBwAAWBFClQPmHAAAABMqBwAAWBRMQwO+IDkAAMAKwzh3+NI+SDCsAAAATKgcAABgAasVAACAGasVAABAqKJyAACABQ73ucOX9sGC5AAAACsYVgAAAKGKygEAABawWgEAAJiF0CZIJAcAAFgQSpUD5hwAAAATKgcAAFgRQqsVSA4AALCAYQUAABCyqBwAAGAFqxUAAMCFGFYAAAAhi8oBAABWsFoBAABciGEFAAAQsqgcAABghds4d/jSPkiQHAAAYAVzDgAAwIUc8nHOgd8iaXjMOQAAIIAtWbJEycnJioyM1IABA7R169Zar12+fLmuu+46tWzZUi1btlRaWlqd19eG5AAAACvO75Doy+Gl1atXKycnR7m5udq5c6d69+6t9PR0HT58uMbrN27cqFGjRmnDhg0qKipSUlKSbrrpJh06dMirfkkOAACw4PxSRl8Ob82fP19jx45VZmamunXrpvz8fDVr1kwrVqyo8fqXXnpJ48aNU58+fdSlSxf99a9/ldvtVmFhoVf9+j05yMvL0zXXXKPo6GjFxcVpxIgR2rNnj7+7AQAgKJWXl5uOysrKGq+rqqrSjh07lJaW5jkXFhamtLQ0FRUVWerr1KlTOnv2rFq1auVVjH5PDjZt2qSsrCx9/PHHWr9+vc6ePaubbrpJFRUV/u4KAIDGY/jhkJSUlKTY2FjPkZeXV2N3R48elcvlUnx8vOl8fHy8SkpKLIU8adIkJSYmmhIMK/y+WqGgoMD0euXKlYqLi9OOHTv0i1/8otr1lZWVpqypvLzc3yEBAOAzh2HI4cOTFc+3LS4uVkxMjOd8RESEz7HVZO7cuXr55Ze1ceNGRUZGetW2wZcylpWVSVKtJY28vDzNnDmz2nm3K0xyBeaUiPUvr7Q7hDr928jf2R1CrS4/ctTuEOpkNAu3O4Q6hX17zO4QauWqOGV3CHUK+79Su0Ook+tkAFdXDbfdEdTKMFx2h+C1mJgYU3JQmzZt2sjpdKq01Pxnt7S0VAkJCXW2/Y//+A/NnTtX7733nnr16uV1jA366et2uzVhwgQNHjxYPXr0qPGaKVOmqKyszHMUFxc3ZEgAANSP2w+HF8LDw9WvXz/TZMLzkwsHDhxYa7snn3xSs2bNUkFBgVJTU73r9EcNWjnIysrS559/rs2bN9d6TURERIOVVAAA8Bd/DSt4IycnRxkZGUpNTVX//v21YMECVVRUKDMzU5I0ZswYtW/f3jNvYd68eZo+fbpWrVql5ORkz9yEyy67TJdddpnlfhssOcjOztbbb7+tDz74QB06dGiobgAAuGTdeeedOnLkiKZPn66SkhL16dNHBQUFnkmKBw8eVFjYvwYBli5dqqqqKt12222m++Tm5mrGjBmW+/V7cmAYhh566CG9/vrr2rhxo1JSUvzdBQAAjc+mZytkZ2crOzu7xp9t3LjR9Prrr7+uXyc/4ffkICsrS6tWrdIbb7yh6OhoT0kjNjZWUVFR/u4OAIDGUc9dDk3tg4TfJyQuXbpUZWVlGjp0qNq1a+c5Vq9e7e+uAABoNHbskGiXBhlWAAAAwYtHNgMAYEUIDSuQHAAAYIHDfe7wpX2wCMwtCAEAgG2oHAAAYAXDCgAAwMSmfQ7swLACAAAwoXIAAIAFdjxbwS4kBwAAWBFCcw4YVgAAACZUDgAAsMKQ5MteBcFTOCA5AADACuYcAAAAM0M+zjnwWyQNjjkHAADAhMoBAABWhNBqBZIDAACscEty+Ng+SDCsAAAATKgcAABgAasVAACAWQjNOWBYAQAAmFA5AADAihCqHJAcAABgRQglBwwrAAAAEyoHAABYEUL7HJAcAABgAUsZAQCAGXMOAABAqKJyAACAFW5Dcvjw7d8dPJUDkgMAAKxgWAEAAISqgK0c7PrFS4qJdtodRo2u2PA7u0OoU9i4wF0v0/nJpnaHUKf9v4mxO4Q6XfHcSbtDqFVYZITdIdTNGZj/npznbBlrdwi1cpeV2x1CrRyGW3I1Vm8+Vg4UPJWDgE0OAAAIKAwrAACAUEXlAAAAK9yGfBoaYLUCAACXGMN97vClfZBgWAEAAJhQOQAAwIoQmpBIcgAAgBXMOQAAACYhVDlgzgEAADChcgAAgBWGfKwc+C2SBkdyAACAFQwrAACAUEXlAAAAK9xuST5sZOQOnk2QSA4AALCCYQUAABCqqBwAAGBFCFUOSA4AALAihHZIZFgBAACYUDkAAMACw3DL8OGxy760bWwkBwAAWGEYvg0NMOcAAIBLjOHjnIMgSg6YcwAAAEyoHAAAYIXbLTl8mDfAnAMAAC4xDCsAAIBQReUAAAALDLdbhg/DCixlBADgUsOwAgAACFVUDgAAsMJtSA4qBwAA4DzDOLccsd5H/ZKDJUuWKDk5WZGRkRowYIC2bt1a5/WvvvqqunTposjISPXs2VPr1q3zuk+SAwAAAtTq1auVk5Oj3Nxc7dy5U71791Z6eroOHz5c4/UfffSRRo0apfvuu0+ffPKJRowYoREjRujzzz/3ql+SAwAALDDchs+Ht+bPn6+xY8cqMzNT3bp1U35+vpo1a6YVK1bUeP3ChQv1y1/+Uo8++qi6du2qWbNmqW/fvlq8eLFX/TZYcuBtGQQAgIDm05CC27NDYnl5uemorKyssbuqqirt2LFDaWlpnnNhYWFKS0tTUVFRjW2KiopM10tSenp6rdfXpkGSA2/LIAAABDp/VQ6SkpIUGxvrOfLy8mrs7+jRo3K5XIqPjzedj4+PV0lJSY1tSkpKvLq+Ng2yWuHCMogk5efna+3atVqxYoUmT57cEF0CABAUiouLFRMT43kdERFhYzQ183tycL4MMmXKFM+5usoglZWVppJKWVmZJKn8ZODuJOU+dcbuEOrmDNz37geXy+4Q6uQ+E9j/b39w11x+DASGUWV3CHUL9N3p3A67I6iV2zhrdwi1+uHH2IxGWCb4g1Hp05+jH3Qu1piYGFNyUJs2bdrI6XSqtLTUdL60tFQJCQk1tklISPDq+tr4PTmoqwzy5ZdfVrs+Ly9PM2fOrHa+U9+v/R2aH82yO4CgdcDuAC5ml90B1G2/3QEAAerYsWOKjY1tkHuHh4crISFBm0u8XxL4UwkJCQoPD7fcb79+/VRYWKgRI0ZIktxutwoLC5WdnV1jm4EDB6qwsFATJkzwnFu/fr0GDhzoVZy2b4I0ZcoU5eTkeF4fP35cnTp10sGDBxvsf/SlrLy8XElJSdXKVrg43rv6473zDe9f/ZWVlaljx45q1apVg/URGRmpAwcOqKrK9+pYeHi4IiMjLV+fk5OjjIwMpaamqn///lqwYIEqKio8w/ZjxoxR+/btPfMWxo8fryFDhujpp5/WsGHD9PLLL2v79u1atmyZV3H6PTnwtgwSERFR43hLbGwsf0l8YLVshep47+qP9843vH/1FxbWsCvzIyMjvfpQ95c777xTR44c0fTp01VSUqI+ffqooKDAU50/ePCg6XcfNGiQVq1apalTp+rxxx/XlVdeqTVr1qhHjx5e9eswGmCgZsCAAerfv78WLVok6VwZpGPHjsrOzr7ohMTy8nLFxsaqrKyMvyT1wPtXf7x39cd75xvev/rjvWsYDTKscLEyCAAACFwNkhxcrAxSl4iICOXm5gbk0o5gwPtXf7x39cd75xvev/rjvWsYDTKsAAAAghfPVgAAACYkBwAAwITkAAAAmJAcAAAAE5IDAABgEnDJwZIlS5ScnKzIyEgNGDBAW7dutTukgJeXl6drrrlG0dHRiouL04gRI7Rnzx67wwpKc+fOlcPhMO1LjrodOnRId999t1q3bq2oqCj17NlT27dvtzusgOdyuTRt2jSlpKQoKipKnTt31qxZsxrlAULB6IMPPtDw4cOVmJgoh8OhNWvWmH5uGIamT5+udu3aKSoqSmlpafrqq6/sCfYSEFDJwerVq5WTk6Pc3Fzt3LlTvXv3Vnp6ug4fPmx3aAFt06ZNysrK0scff6z169fr7Nmzuummm1RRUWF3aEFl27ZtevbZZ9WrVy+7Qwka33//vQYPHqymTZvqnXfe0RdffKGnn35aLVu2tDu0gDdv3jwtXbpUixcv1u7duzVv3jw9+eSTnp1lYVZRUaHevXtryZIlNf78ySef1DPPPKP8/Hxt2bJFzZs3V3p6us4E+JNWA5YRQPr3729kZWV5XrtcLiMxMdHIy8uzMargc/jwYUOSsWnTJrtDCRonTpwwrrzySmP9+vXGkCFDjPHjx9sdUlCYNGmSce2119odRlAaNmyYce+995rO/eY3vzFGjx5tU0TBQ5Lx+uuve1673W4jISHBeOqppzznjh8/bkRERBh///vfbYgw+AVM5aCqqko7duxQWlqa51xYWJjS0tJUVFRkY2TBp6ysTJIa9Clll5qsrCwNGzbM9OcPF/fmm28qNTVVt99+u+Li4nT11Vdr+fLldocVFAYNGqTCwkLt3btXkvTpp59q8+bNuvnmm22OLPgcOHBAJSUlpr+/sbGxGjBgAJ8f9WT7I5vPO3r0qFwuV7UtluPj4/Xll1/aFFXwcbvdmjBhggYPHuz1U7hC1csvv6ydO3dq27ZtdocSdPbv36+lS5cqJydHjz/+uLZt26aHH35Y4eHhysjIsDu8gDZ58mSVl5erS5cucjqdcrlcmj17tkaPHm13aEGnpKREkmr8/Dj/M3gnYJID+EdWVpY+//xzbd682e5QgkJxcbHGjx+v9evX2/I41mDndruVmpqqOXPmSJKuvvpqff7558rPzyc5uIhXXnlFL730klatWqXu3btr165dmjBhghITE3nvYLuAGVZo06aNnE6nSktLTedLS0uVkJBgU1TBJTs7W2+//bY2bNigDh062B1OUNixY4cOHz6svn37qkmTJmrSpIk2bdqkZ555Rk2aNJHL5bI7xIDWrl07devWzXSua9euOnjwoE0RBY9HH31UkydP1siRI9WzZ0/dc889mjhxovLy8uwOLeic/4zg88N/AiY5CA8PV79+/VRYWOg553a7VVhYqIEDB9oYWeAzDEPZ2dl6/fXX9f777yslJcXukILGjTfeqM8++0y7du3yHKmpqRo9erR27dolp9Npd4gBbfDgwdWWze7du1edOnWyKaLgcerUKYWFmf8JdjqdcrvdNkUUvFJSUpSQkGD6/CgvL9eWLVv4/KingBpWyMnJUUZGhlJTU9W/f38tWLBAFRUVyszMtDu0gJaVlaVVq1bpjTfeUHR0tGeMLTY2VlFRUTZHF9iio6Orzc1o3ry5WrduzZwNCyZOnKhBgwZpzpw5uuOOO7R161YtW7ZMy5Ytszu0gDd8+HDNnj1bHTt2VPfu3fXJJ59o/vz5uvfee+0OLSCdPHlS+/bt87w+cOCAdu3apVatWqljx46aMGGCnnjiCV155ZVKSUnRtGnTlJiYqBEjRtgXdDCze7nETy1atMjo2LGjER4ebvTv39/4+OOP7Q4p4Emq8Xj++eftDi0osZTRO2+99ZbRo0cPIyIiwujSpYuxbNkyu0MKCuXl5cb48eONjh07GpGRkcbll19u/OlPfzIqKyvtDi0gbdiwocZ/5zIyMgzDOLeccdq0aUZ8fLwRERFh3HjjjcaePXvsDTqIOQyD7bgAAMC/BMycAwAAEBhIDgAAgAnJAQAAMCE5AAAAJiQHAADAhOQAAACYkBwAAAATkgMAAGBCcgAAAExIDgAAgAnJAQAAMPn/GzGdKgQEsuUAAAAASUVORK5CYII=", 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", 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", 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", 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", 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", 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", 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", 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", 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", 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JSwxDx0SH+ZQceO4TE9Ok3UqtSEhIUEVFhamtoqJCMTExjXoQml8HaJKTk5WQkKCioiJPW1VVld5//33TnuoAAAQbl+H2+Whuw4cPN30HS9KWLVsa/R3c6D8xT506pX379nleHzhwQLt27VL79u3VvXt3zZw5U4sWLdKVV16p5ORkzZ8/X126dGlwdiUAAIHOLUNuHyo8Tbn2Ut+5c+fO1eHDh/Xss89Kkn75y1/qiSee0G9+8xvdeeed+stf/qKNGzfWeUrqpTQ6Ofjggw90/fXXe15fmC9w4fGxv/nNb1RdXa27775bJ06c0A9+8AMVFhYqMjKwS44AADTELbd8+du/KVdf6jv3iy++0KFDhzzvJycna9OmTZo1a5ZWrFihbt266fe//72lJ8NeLOC2T66qqlJsbKxSu09nzkFTMSGxyc7Fx9odQoPCzgTunIMvBwb2Zxd1PMDnHATwhMSt635vdwj1qjrpUrur9quysrLZxvEvfC/9c083nyckdun1/5o1Vn/hWwQAAAtchiGXD38c+nJtSyM5AADAAjvmHNil+baTAgAAQYnKAQAAFrhlyBUilQOSAwAALGBYAQAAhCwqBwAAWMBqBQAAYOL+5vDl+mDBsAIAADChcgAAgAUuH1cr+HJtSyM5AADAApdx/vDl+mBBcgAAgAXMOQAAACGLygEAABa45ZBLDp+uDxYkBwAAWOA2zh++XB8sGFYAAAAmVA4AALDA5eOwgi/XtjSSAwAALAil5IBhBQAAYELlAAAAC9yGQ27Dh9UKPlzb0kgOAACwgGEFAAAQsqgcAABggUthcvnwN7XLj7E0N5IDAAAsMHycc2Aw5wAAgO8W5hwAAICQReUAAAALXEaYXIYPcw6C6NkKJAcAAFjglkNuHwrubgVPdsCwAgAAMKFyAACABaE0ITFwk4PW4ZIz3O4ovDMCvDQUyPE5Avsfh/PkGbtDaFhZud0R1Ot4eozdITTorhvftjuEBs3tsNfuEOp1/Z2/sDuEep07e0ZSTov05fucgwD+3fwtDCsAAACTwK0cAAAQQM5PSPThwUsMKwAA8N3i9nH7ZFYrAACAoEXlAAAAC0JpQiLJAQAAFrgVFjKbIJEcAABggctwyOXDkxV9ubalMecAAACYUDkAAMACl4+rFVwMKwAA8N3iNsLk9mFCojuIJiQyrAAAAEyoHAAAYAHDCgAAwMQt31YcuP0XSrNjWAEAAJhQOQAAwALfN0EKnr/HSQ4AALDA9+2Tgyc5CJ5IAQBAi6ByAACABW455JYvExKDZ/tkkgMAACwIpWEFkgMAACzwfZ+D4EkOgidSAADQIqgcAABggdtwyO3LJkhB9MhmkgMAACxw+zisEEz7HARPpAAAoEVQOQAAwALfH9kcPH+PB0+kAADYyCWHz0dTrFq1SklJSYqMjNSwYcO0ffv2Bs/Py8tTr169FBUVpcTERM2aNUtnzpxpVJ8kBwAABKiCggJlZ2crJydHO3fu1MCBA5WWlqYjR454PX/Dhg2aM2eOcnJytHv3bv3hD39QQUGBHnjggUb1S3IAAIAFF4YVfDkaa/ny5Zo6daoyMjLUp08f5efnq02bNlq3bp3X8999912NHDlSP//5z5WUlKSbbrpJEydOvGS14dtIDgAAsMAlX4cWzquqqjIdNTU1Xvurra1VaWmpUlNTPW1hYWFKTU1VSUmJ12tGjBih0tJSTzKwf/9+bd68WT/5yU8a9bOSHAAA0IISExMVGxvrOXJzc72ed+zYMblcLsXHx5va4+PjVV5e7vWan//85/rd736nH/zgB2rdurV69uyp0aNHN3pYgdUKAABY4K/VCmVlZYqJifG0R0RE+BzbBcXFxVq8eLGefPJJDRs2TPv27dOMGTP00EMPaf78+ZbvQ3IAAIAF/nrwUkxMjCk5qE/Hjh3ldDpVUVFhaq+oqFBCQoLXa+bPn6877rhDv/jFLyRJ/fv3V3V1te6++2799re/VViYtfj9Pqzgcrk0f/58JScnKyoqSj179tRDDz0kwzD83RUAAC3G+OaRzU09jEYuZQwPD9eQIUNUVFTkaXO73SoqKtLw4cO9XnP69Ok6CYDT6TwffyO+h/1eOVi6dKlWr16tZ555Rn379tUHH3ygjIwMxcbG6r777vN3dwAAfGdlZ2crPT1dKSkpGjp0qPLy8lRdXa2MjAxJ0pQpU9S1a1fPvIVx48Zp+fLluuaaazzDCvPnz9e4ceM8SYIVfk8O3n33Xf37v/+7xowZI0lKSkrSCy+80OhlFAAABBJ/DSs0xu23366jR49qwYIFKi8v16BBg1RYWOiZpHjo0CFTpWDevHlyOByaN2+eDh8+rE6dOmncuHF6+OGHG9Wv35ODESNGaM2aNdq7d6+uuuoqffTRR9q2bZuWL1/u9fyamhrTMo6qqip/hwQAgM/seipjVlaWsrKyvL5XXFxset2qVSvl5OQoJyenSX157uPT1V7MmTNHVVVV6t27t5xOp1wulx5++GFNmjTJ6/m5ublauHBh3TcM4/yBxmtlvXTU0ozwwJ4DG+jx/fOuvnaHUK9rr91jdwgNmtthr90hNCj3+FV2h1Avo3XgPmq4seP4sMbvExI3btyo559/Xhs2bNDOnTv1zDPP6NFHH9Uzzzzj9fy5c+eqsrLSc5SVlfk7JAAAfOb65pHNvhzBwu9/Jt1///2aM2eOJkyYIOn8MorPP/9cubm5Sk9Pr3N+RESEX9d4AgDQHOwaVrCD39OY+pZRuN1uf3cFAACagd8rBxdmRXbv3l19+/bVhx9+qOXLl+vOO+/0d1cAALQYt8Lk9uFval+ubWl+Tw5Wrlyp+fPna/r06Tpy5Ii6dOmiadOmacGCBf7uCgCAFuMyHHL5MDTgy7Utze/JQXR0tPLy8pSXl+fvWwMAgBYQ2Ou2AAAIEKE0IZHkAAAACwwfn8po+HBtSyM5AADAApcccvmw6ZIv17a04EljAABAi6ByAACABW7Dt3kD7iB6IgDJAQAAFrh9nHPgy7UtLXgiBQAALYLKAQAAFrjlkNuHSYW+XNvSSA4AALAglHZIZFgBAACYUDkAAMCCUJqQSHIAAIAFbvm4fXIQzTkInjQGAAC0CCoHAABYYPi4WsEIosoByQEAABbwVEYAAGASShMSgydSAADQIqgcAABgAcMKAADAJJS2T2ZYAQAAmFA5AADAAoYVAACASSglBwwrAAAAEyoHAABYEEqVA5IDAAAsCKXkgGEFAABgQuUAAAALDPm2V4Hhv1CaHckBAAAWhNKwAskBAAAWhFJywJwDAABgEriVg3NnJXeA5i6OAI3rgtpauyOol+Ns4P5fTpJcbWPtDqFBJ3u67A6hXi8k/8XuEBo08cANdofQoB07rrQ7hHp16BC4f/G6ap0t1lcoVQ4C+zc1AAABIpSSgwD/ExgAALQ0KgcAAFhgGA4ZPvz178u1LY3kAAAAC9xy+LTPgS/XtjSGFQAAgAmVAwAALAilCYkkBwAAWBBKcw4YVgAAACZUDgAAsIBhBQAAYBJKwwokBwAAWGD4WDkIpuSAOQcAAMCEygEAABYYkgzDt+uDBckBAAAWuOWQgx0SAQBAKKJyAACABaxWAAAAJm7DIUeI7HPAsAIAADChcgAAgAWG4eNqhSBarkDlAAAACy7MOfDlaIpVq1YpKSlJkZGRGjZsmLZv397g+SdOnFBmZqY6d+6siIgIXXXVVdq8eXOj+qRyAABAgCooKFB2drby8/M1bNgw5eXlKS0tTXv27FFcXFyd82tra/Vv//ZviouL00svvaSuXbvq888/1+WXX96ofkkOAACwwI7VCsuXL9fUqVOVkZEhScrPz9emTZu0bt06zZkzp87569at05dffql3331XrVu3liQlJSU1ul+GFQAAsODCUxl9OSSpqqrKdNTU1Hjtr7a2VqWlpUpNTfW0hYWFKTU1VSUlJV6vee211zR8+HBlZmYqPj5e/fr10+LFi+VyuRr1s5IcAABgwYUJib4ckpSYmKjY2FjPkZub67W/Y8eOyeVyKT4+3tQeHx+v8vJyr9fs379fL730klwulzZv3qz58+frscce06JFixr1szKsAABACyorK1NMTIzndUREhN/u7Xa7FRcXpzVr1sjpdGrIkCE6fPiwli1bppycHMv3ITkAAMCC83/9+zLn4Pz/xsTEmJKD+nTs2FFOp1MVFRWm9oqKCiUkJHi9pnPnzmrdurWcTqen7eqrr1Z5eblqa2sVHh5uKVaGFQAAsKCllzKGh4dryJAhKioq8rS53W4VFRVp+PDhXq8ZOXKk9u3bJ7fb7Wnbu3evOnfubDkxkEgOAAAIWNnZ2Vq7dq2eeeYZ7d69W/fcc4+qq6s9qxemTJmiuXPnes6/55579OWXX2rGjBnau3evNm3apMWLFyszM7NR/TKsAACABcY3hy/XN9btt9+uo0ePasGCBSovL9egQYNUWFjomaR46NAhhYX96+/8xMREvfnmm5o1a5YGDBigrl27asaMGZo9e3aj+iU5AADAArueypiVlaWsrCyv7xUXF9dpGz58uN57770m9XUBwwoAAMCEygEAAFbYMa5gk2apHBw+fFiTJ09Whw4dFBUVpf79++uDDz5ojq4AAGgZvq5U8GFIoqX5vXLw1VdfaeTIkbr++uv1xhtvqFOnTvrss8/Url07f3cFAECLCaVHNvs9OVi6dKkSExP19NNPe9qSk5P93Q0AAGgmfh9WeO2115SSkqJbb71VcXFxuuaaa7R27dp6z6+pqanzEAoAAAJNS2+CZCe/Vw7279+v1atXKzs7Ww888IB27Nih++67T+Hh4UpPT69zfm5urhYuXFj3Rq3DJaf13ZxaVFhg/weuTehgdwj1ckUE9gKZ1ifP2h1Cg/bfssbuEOp1xct32x1Cg6L/4bz0STa66g//Z3cI9TKu6Gp3CPU65/L+RMNm4eu8gSBKDvz+m9rtdmvw4MFavHixrrnmGt19992aOnWq8vPzvZ4/d+5cVVZWeo6ysjJ/hwQAABrB75WDzp07q0+fPqa2q6++Wv/zP//j9fyIiAi/PpEKAIDmwIREH4wcOVJ79uwxte3du1c9evTwd1cAALQc9jloulmzZum9997T4sWLtW/fPm3YsEFr1qxp9EMfAACAPfyeHFx77bV6+eWX9cILL6hfv3566KGHlJeXp0mTJvm7KwAAWgyrFXw0duxYjR07tjluDQCAfYJoaMAXgb2uDAAAtDgevAQAgAV2PbLZDiQHAABYEUKrFUgOAACwxPHN4cv1wYE5BwAAwITKAQAAVjCsAAAATEIoOWBYAQAAmFA5AADAihB6ZDPJAQAAFoTSUxkZVgAAACZUDgAAsCKEJiSSHAAAYEUIzTlgWAEAAJhQOQAAwAKHcf7w5fpgQXIAAIAVzDkAAAAmzDkAAAChisoBAABWMKwAAABMQig5YFgBAACYUDkAAMCKEKockBwAAGAFqxUAAECoonIAAIAF7JAIAADMQmjOAcMKAADAhOQAAACYMKwAAIAFDvk458BvkTS/gE0Ozv3jgORobXcYXoVd08fuEBoUfvCo3SHU6+DkRLtDaND/Zf7B7hAalPbTKXaHUK8rjTN2h9CgsLMuu0NoWGKC3RHUyx0ZmL+LJcl9rgX/u7KUEQAAhKqArRwAABBQQmi1AskBAABWhFBywLACAAAwoXIAAIAF7JAIAADMGFYAAAChisoBAABWhFDlgOQAAAALQmnOAcMKAADAhMoBAABWhND2ySQHAABYwZwDAABwMeYcAACAkEVyAACAFYYfjiZYtWqVkpKSFBkZqWHDhmn79u2WrnvxxRflcDg0fvz4RvdJcgAAgBXGv4YWmnI0JTkoKChQdna2cnJytHPnTg0cOFBpaWk6cuRIg9cdPHhQv/71r3Xdddc16UclOQAAIEAtX75cU6dOVUZGhvr06aP8/Hy1adNG69atq/cal8ulSZMmaeHChbriiiua1C/JAQAAVvhpWKGqqsp01NTUeO2utrZWpaWlSk1N9bSFhYUpNTVVJSUl9Yb5u9/9TnFxcbrrrrua/KOSHAAAYIWfkoPExETFxsZ6jtzcXK/dHTt2TC6XS/Hx8ab2+Ph4lZeXe71m27Zt+sMf/qC1a9f69KOylBEAgBZUVlammJgYz+uIiAi/3PfkyZO64447tHbtWnXs2NGne5EcAABggb/2OYiJiTElB/Xp2LGjnE6nKioqTO0VFRVKSEioc/4//vEPHTx4UOPGjfO0ud1uSVKrVq20Z88e9ezZ01KsDCsAABCAwsPDNWTIEBUVFXna3G63ioqKNHz48Drn9+7dWx9//LF27drlOW6++WZdf/312rVrlxITEy33TeUAAIAAlZ2drfT0dKWkpGjo0KHKy8tTdXW1MjIyJElTpkxR165dlZubq8jISPXr1890/eWXXy5JddovheQAAAArbHi2wu23366jR49qwYIFKi8v16BBg1RYWOiZpHjo0CGFhfl/EIDkAAAAC+x6tkJWVpaysrK8vldcXNzgtevXr29SnyQHAABYFUQPT/IFExIBAIAJlQMAAKywYc6BXUgOAACwwK45B3ZgWAEAAJhQOQAAwAqGFQAAwMUYVgAAACGr2ZODJUuWyOFwaObMmc3dFQAAzcdPj2wOBs06rLBjxw499dRTGjBgQHN2AwBA8wuhOQfNVjk4deqUJk2apLVr16pdu3b1nldTU6OqqirTAQAA7NNslYPMzEyNGTNGqampWrRoUb3n5ebmauHChXXanf16yemMaK7wfFJ7eZTdITQoftUXdodQr/9LWm13CA3qu+oeu0NoUHx0rd0h1Ctq3zG7Q2iQ0TbS7hAa5Dhz1u4Q6tXqdI3dIdTP3XKxMSHRRy+++KJ27typ3NzcS547d+5cVVZWeo6ysrLmCAkAAN8w56DpysrKNGPGDG3ZskWRkZfO1CMiIhQREZgVAgAAPEJozoHfk4PS0lIdOXJEgwcP9rS5XC698847euKJJ1RTUyOn0+nvbgEAgJ/4PTm48cYb9fHHH5vaMjIy1Lt3b82ePZvEAAAQlEJpzoHfk4Po6Gj169fP1Na2bVt16NChTjsAAEEjhIYV2CERAACYtMizFYqLi1uiGwAAmg3DCgAAwIxhBQAAEKqoHAAAYEUIVQ5IDgAAsMDxzeHL9cGCYQUAAGBC5QAAACsYVgAAABdjKSMAADALocoBcw4AAIAJlQMAAKwKor/+fUFyAACABaE054BhBQAAYELlAAAAK0JoQiLJAQAAFjCsAAAAQhaVAwAArGBYAQAAXIxhBQAAELKoHAAAYAXDCgAAwITkAAAAXIw5BwAAIGRROQAAwAqGFQAAwMUchiGH0fRveF+ubWkMKwAAABMqBwAAWMGwAgAAuBirFQAAQMiicgAAgBUMK9jvi+sulzMi0u4wvIr+f267Q2jQ80nFdodQr0kHR9sdQoOS/rvM7hAaVJvUye4Q6nfunN0RNMhRG9jxKYhmsocqhhUAAEDICtjKAQAAAYVhBQAAcLFQGlYgOQAAwIoQqhww5wAAAJhQOQAAwKJgGhrwBckBAABWGIZvS06DaLkqwwoAAASwVatWKSkpSZGRkRo2bJi2b99e77lr167Vddddp3bt2qldu3ZKTU1t8Pz6kBwAAGDBhdUKvhyNVVBQoOzsbOXk5Gjnzp0aOHCg0tLSdOTIEa/nFxcXa+LEidq6datKSkqUmJiom266SYcPH25UvyQHAABYYfjhaKTly5dr6tSpysjIUJ8+fZSfn682bdpo3bp1Xs9//vnnNX36dA0aNEi9e/fW73//e7ndbhUVFTWqX5IDAABaUFVVlemoqanxel5tba1KS0uVmprqaQsLC1NqaqpKSkos9XX69GmdPXtW7du3b1SMJAcAAFjgcPt+SFJiYqJiY2M9R25urtf+jh07JpfLpfj4eFN7fHy8ysvLLcU8e/ZsdenSxZRgWMFqBQAArPDTJkhlZWWKiYnxNEdERPgUVn2WLFmiF198UcXFxYqMbNyDDEkOAABoQTExMabkoD4dO3aU0+lURUWFqb2iokIJCQkNXvvoo49qyZIleuuttzRgwIBGx8iwAgAAFrT0aoXw8HANGTLENJnwwuTC4cOH13vdI488ooceekiFhYVKSUlp0s9K5QAAACts2AQpOztb6enpSklJ0dChQ5WXl6fq6mplZGRIkqZMmaKuXbt65i0sXbpUCxYs0IYNG5SUlOSZm3DZZZfpsssus9wvyQEAABbY8VTG22+/XUePHtWCBQtUXl6uQYMGqbCw0DNJ8dChQwoL+9cgwOrVq1VbW6uf/exnpvvk5OTowQcftNwvyQEAAAEsKytLWVlZXt8rLi42vT548KBf+iQ5AADAihB6ZDPJAQAAFtgxrGAXVisAAAATKgcAAFgRQo9sJjkAAMAChhUAAEDIonIAAIAVrFYAAAAXY1gBAACELCoHAABY4TbOH75cHyRIDgAAsII5BwAA4GIO+TjnwG+RND/mHAAAABMqBwAAWMEOiQAA4GIsZfRBbm6urr32WkVHRysuLk7jx4/Xnj17/N0NAABoJn5PDt5++21lZmbqvffe05YtW3T27FnddNNNqq6u9ndXAAC0HMMPR5Dw+7BCYWGh6fX69esVFxen0tJS/fCHP6xzfk1NjWpqajyvq6qq/B0SAAA+cxiGHD7MG/Dl2pbW7HMOKisrJUnt27f3+n5ubq4WLlxYp/1k/1qFRQXmYopds/9gdwgNuu7eaXaHUK+IL8/aHUKDWrf/2u4QGhReHsDJc5jT7gga5nLbHUHDHAG80O1sAP+7dZ+zO4LvpGb99nW73Zo5c6ZGjhypfv36eT1n7ty5qqys9BxlZWXNGRIAAE3j9sMRJJq1cpCZmalPPvlE27Ztq/eciIgIRURENGcYAAD4jGEFP8jKytLrr7+ud955R926dWuubgAAgJ/5PTkwDEP33nuvXn75ZRUXFys5OdnfXQAA0PJ4tkLTZWZmasOGDXr11VcVHR2t8vJySVJsbKyioqL83R0AAC0jhHZI9PuExNWrV6uyslKjR49W586dPUdBQYG/uwIAoMVc2CHRlyNYNMuwAgAACF48WwEAACtCaFiB5AAAAAsc7vOHL9cHi8DcghAAANiGygEAAFYwrAAAAExCaJ8DhhUAAIAJlQMAACzg2QoAAMAshOYcMKwAAABMqBwAAGCFIcmXvQqCp3BAcgAAgBXMOQAAAGaGfJxz4LdImh1zDgAAgAmVAwAArAih1QokBwAAWOGW5PDx+iDBsAIAADChcgAAgAWsVgAAAGYhNOeAYQUAAGBC5QAAACtCqHJAcgAAgBUhlBwwrAAAAEyoHAAAYEUI7XNAcgAAgAUsZQQAAGbMOQAAAKGKygEAAFa4Dcnhw1//7uCpHJAcAABgBcMKAAAgVAVs5eBvqc8qJtppdxheXVF4l90hNCimW+DmfNGfnbY7hAa5/rbb7hAaFHZlT7tDqJ8R6Ou0AvP3iYfDlzVyzYzYvuFj5UDBUzkI2OQAAICAwrACAAAIBKtWrVJSUpIiIyM1bNgwbd++vcHz//jHP6p3796KjIxU//79tXnz5kb3SXIAAIAVbsP3o5EKCgqUnZ2tnJwc7dy5UwMHDlRaWpqOHDni9fx3331XEydO1F133aUPP/xQ48eP1/jx4/XJJ580ql+SAwAArDDcvh+NtHz5ck2dOlUZGRnq06eP8vPz1aZNG61bt87r+StWrNCPfvQj3X///br66qv10EMPafDgwXriiSca1S/JAQAALaiqqsp01NTUeD2vtrZWpaWlSk1N9bSFhYUpNTVVJSUlXq8pKSkxnS9JaWlp9Z5fH5IDAACsuDAh0ZdDUmJiomJjYz1Hbm6u1+6OHTsml8ul+Ph4U3t8fLzKy8u9XlNeXt6o8+vDagUAAKxwG/JpOeI3cw7KysoUExPjaY6IiPAxMP8jOQAAwAo/LWWMiYkxJQf16dixo5xOpyoqKkztFRUVSkhI8HpNQkJCo86vD8MKAAAEoPDwcA0ZMkRFRUWeNrfbraKiIg0fPtzrNcOHDzedL0lbtmyp9/z6UDkAAMAKQz5WDhp/SXZ2ttLT05WSkqKhQ4cqLy9P1dXVysjIkCRNmTJFXbt29cxbmDFjhkaNGqXHHntMY8aM0YsvvqgPPvhAa9asaVS/JAcAAFhhww6Jt99+u44ePaoFCxaovLxcgwYNUmFhoWfS4aFDhxQW9q9BgBEjRmjDhg2aN2+eHnjgAV155ZV65ZVX1K9fv0b1S3IAAEAAy8rKUlZWltf3iouL67TdeuutuvXWW33qk+QAAAAr3G5JPjxgzB3oDyf7F5IDAACs4MFLAAAgVFE5AADAihCqHJAcAABghZ92SAwGDCsAAAATKgcAAFhgGG4ZTXjs8sXXBwuSAwAArDAM34YGmHMAAMB3jOHjnIMgSg6YcwAAAEyoHAAAYIXbLTl8mDfAnAMAAL5jGFYAAAChisoBAAAWGG63DB+GFVjKCADAdw3DCgAAIFRROQAAwAq3ITlCo3JAcgAAgBWGIcmXpYzBkxwwrAAAAEyoHAAAYIHhNmT4MKxgUDmQVq1apaSkJEVGRmrYsGHavn17c3UFAEDzM9y+H0GiWZKDgoICZWdnKycnRzt37tTAgQOVlpamI0eONEd3AAA0O8Nt+HwEi2ZJDpYvX66pU6cqIyNDffr0UX5+vtq0aaN169Y1R3cAAMCP/D7noLa2VqWlpZo7d66nLSwsTKmpqSopKalzfk1NjWpqajyvKysrJUlVpwK3/OL++ozdITTIVRO4n905V82lT7KRyzhrdwgNC+TPz11rdwQNcwXuvwtJksNhdwT1C+D/tue+ia0lxvPPGTU+DQ2cU4D/frmI35ODY8eOyeVyKT4+3tQeHx+vv//973XOz83N1cKFC+u09xh80N+h+dGDdgcQtD61O4Bg9w+7AwAC0/HjxxUbG9ss9w4PD1dCQoK2lW/2+V4JCQkKDw/3Q1TNy/bVCnPnzlV2drbn9YkTJ9SjRw8dOnSo2f5Df5dVVVUpMTFRZWVliomJsTucoMJn13R8dr7h82u6yspKde/eXe3bt2+2PiIjI3XgwAHV1vpeQQkPD1dkZKQfompefk8OOnbsKKfTqYqKClN7RUWFEhIS6pwfERGhiIiIOu2xsbH8I/FBTEwMn18T8dk1HZ+db/j8mi4srHm37YmMjAyKL3V/8funGR4eriFDhqioqMjT5na7VVRUpOHDh/u7OwAA4GfNMqyQnZ2t9PR0paSkaOjQocrLy1N1dbUyMjKaozsAAOBHzZIc3H777Tp69KgWLFig8vJyDRo0SIWFhXUmKXoTERGhnJwcr0MNuDQ+v6bjs2s6Pjvf8Pk1HZ9d83AYwbSfIwAAaHY8eAkAAJiQHAAAABOSAwAAYEJyAAAATEgOAACAScAlB6tWrVJSUpIiIyM1bNgwbd++3e6QAl5ubq6uvfZaRUdHKy4uTuPHj9eePXvsDisoLVmyRA6HQzNnzrQ7lKBx+PBhTZ48WR06dFBUVJT69++vDz74wO6wAp7L5dL8+fOVnJysqKgo9ezZUw899FCLPEAoGL3zzjsaN26cunTpIofDoVdeecX0vmEYWrBggTp37qyoqCilpqbqs88+syfY74CASg4KCgqUnZ2tnJwc7dy5UwMHDlRaWpqOHDlid2gB7e2331ZmZqbee+89bdmyRWfPntVNN92k6upqu0MLKjt27NBTTz2lAQMG2B1K0Pjqq680cuRItW7dWm+88YY+/fRTPfbYY2rXrp3doQW8pUuXavXq1XriiSe0e/duLV26VI888ohWrlxpd2gBqbq6WgMHDtSqVau8vv/II4/o8ccfV35+vt5//321bdtWaWlpOnMmsJ+iG7CMADJ06FAjMzPT89rlchldunQxcnNzbYwq+Bw5csSQZLz99tt2hxI0Tp48aVx55ZXGli1bjFGjRhkzZsywO6SgMHv2bOMHP/iB3WEEpTFjxhh33nmnqe0//uM/jEmTJtkUUfCQZLz88sue126320hISDCWLVvmaTtx4oQRERFhvPDCCzZEGPwCpnJQW1ur0tJSpaametrCwsKUmpqqkpISGyMLPpWVlZLUrE8p+67JzMzUmDFjTP//w6W99tprSklJ0a233qq4uDhdc801Wrt2rd1hBYURI0aoqKhIe/fulSR99NFH2rZtm3784x/bHFnwOXDggMrLy03/fmNjYzVs2DC+P5rI9kc2X3Ds2DG5XK46WyzHx8fr73//u01RBR+3262ZM2dq5MiR6tevn93hBIUXX3xRO3fu1I4dO+wOJejs379fq1evVnZ2th544AHt2LFD9913n8LDw5Wenm53eAFtzpw5qqqqUu/eveV0OuVyufTwww9r0qRJdocWdMrLyyXJ6/fHhffQOAGTHMA/MjMz9cknn2jbtm12hxIUysrKNGPGDG3ZsiWkHsfqL263WykpKVq8eLEk6ZprrtEnn3yi/Px8koNL2Lhxo55//nlt2LBBffv21a5duzRz5kx16dKFzw62C5hhhY4dO8rpdKqiosLUXlFRoYSEBJuiCi5ZWVl6/fXXtXXrVnXr1s3ucIJCaWmpjhw5osGDB6tVq1Zq1aqV3n77bT3++ONq1aqVXC6X3SEGtM6dO6tPnz6mtquvvlqHDh2yKaLgcf/992vOnDmaMGGC+vfvrzvuuEOzZs1Sbm6u3aEFnQvfEXx/+E/AJAfh4eEaMmSIioqKPG1ut1tFRUUaPny4jZEFPsMwlJWVpZdffll/+ctflJycbHdIQePGG2/Uxx9/rF27dnmOlJQUTZo0Sbt27ZLT6bQ7xIA2cuTIOstm9+7dqx49etgUUfA4ffq0wsLMv4KdTqfcbrdNEQWv5ORkJSQkmL4/qqqq9P777/P90UQBNayQnZ2t9PR0paSkaOjQocrLy1N1dbUyMjLsDi2gZWZmasOGDXr11VcVHR3tGWOLjY1VVFSUzdEFtujo6DpzM9q2basOHTowZ8OCWbNmacSIEVq8eLFuu+02bd++XWvWrNGaNWvsDi3gjRs3Tg8//LC6d++uvn376sMPP9Ty5ct155132h1aQDp16pT27dvneX3gwAHt2rVL7du3V/fu3TVz5kwtWrRIV155pZKTkzV//nx16dJF48ePty/oYGb3colvW7lypdG9e3cjPDzcGDp0qPHee+/ZHVLAk+T1ePrpp+0OLSixlLFx/vznPxv9+vUzIiIijN69extr1qyxO6SgUFVVZcyYMcPo3r27ERkZaVxxxRXGb3/7W6Ompsbu0ALS1q1bvf6eS09PNwzj/HLG+fPnG/Hx8UZERIRx4403Gnv27LE36CDmMAy24wIAAP8SMHMOAABAYCA5AAAAJiQHAADAhOQAAACYkBwAAAATkgMAAGBCcgAAAExIDgAAgAnJAQAAMCE5AAAAJiQHAADA5P8DfctEpQ1sJzwAAAAASUVORK5CYII=", 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", 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" ] @@ -1472,6 +1214,20 @@ " plt.colorbar(x)\n", " plt.show()" ] + }, + { + "cell_type": "markdown", + "id": "83f72549", + "metadata": {}, + "source": [ + "***\n", + "\n", + "## Where do you want to go next?\n", + "\n", + "- [Return to Table of Contents](../README.ipynb)\n", + "- [Back to previous notebook](./Part1-Coefficients.ipynb)\n", + "- [Go to next notebook](../Basis/viewing%20a%20basis.ipynb)\n" + ] } ], "metadata": { diff --git a/Tutorials/Orbits/orbits in an EXP field.ipynb b/Tutorials/Orbits/orbits in an EXP field.ipynb index 268b36b..f60d43d 100644 --- a/Tutorials/Orbits/orbits in an EXP field.ipynb +++ b/Tutorials/Orbits/orbits in an EXP field.ipynb @@ -70,9 +70,9 @@ "Cylinder: parameter 'eof_file' is deprecated. and will be removed in a future release. Please use 'cachename' instead.\n", "---- EmpCylSL::ReadH5Cache: read \n", "---- EmpCylSL::read_cache: table forwarded to all processes\n", - "Cylindrical::orthoTest: worst=0.00529627\n", + "---- Cylindrical::orthoTest: worst=0.00529627\n", "---- SLGridSph::ReadH5Cache: successfully read basis cache \n", - "Spherical::orthoTest: worst=0.000610644\n" + "---- Spherical::orthoTest: worst=0.000610644\n" ] } ], @@ -187,10 +187,10 @@ "# Start time ----------------------+ +----------End time\n", "# | |\n", "# v v\n", - "times, orbits = pyEXP.basis.IntegrateOrbits(0.0, 0.2, 0.001, ps, model, func)\n", - "# ^ ^\n", - "# | |\n", - "# Time step--------------------------------+ +---------IC array" + "times, orbits = pyEXP.basis.IntegrateOrbits(0.0, 0.2, 0.00001, ps, model, func)\n", + "# ^ ^\n", + "# | |\n", + "# Time step--------------------------------+ +---------IC array" ] }, { @@ -209,7 +209,7 @@ "outputs": [ { "data": { - "image/png": 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", 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L8KZvYih9EkMZmBTGiG6RhPh5t0HEIm1vf2kt87YWAnDb+G5OjgZMxp8SuqqUklZKSomIiIiIiNurqGviy00H+HrzAVbvK6PZcujMmlB/b9KiA0mJDCQp3J+IQB/CAnwI9jPh1fJh2QbUNpqpqjdTUd9EYWUDOWV15JTVkVtmr65asruEJbtLAPAyGujXJZQx6VGc1SuWvomhqqQSl/Hmsv3YbDC+ezTdY4OdHY5+NuSwlJQSERERERG3ZLPZWLK7hHdX7mfBjuJDElEpkQGM7x7NoK7hDEgKIzki4JQ+FDeaLewqrGFzfiWb8ytYmV1Gdkkt63MqWJ9TwXMLskgM8+fcvnGc0zeegUlh+hAuTlPd0MyHa3IBmDY6xbnBHIZ+NKSVklIiIiIiIuJWGs0WZq/P57Uf97KrqMZxec/4EC4amMBZveJIjQps0/v0NXnRt0sofbuEAskA5FfUszSrhEU7D7JgRzH5FfW8smQvryzZS1p0IFcMTeLiQV2ICvJt01hEjuXjtXnUNJrpFh3IuIxoZ4cjckRKSomIiIiIiFuwWG18ui6PZ77bTX5FPQCBPl5cNiSJK4YlkRkX0qHxJIb5c/mQJC4fkkR9k4VFuw7y9ZYDzN9WRPbBWh6fu4Mn5u3krF6xTBudytCUcFVPSbuzWG28sWwfANNGp2I0usZzzvazhQKuEZG4AiWlRERERETE5S3edZC/z9lGVrG9Miom2JebxqYydWgyof7OHzbu7+PFpD5xTOoTR02jmS83FvD+6lw25lbw9ZZCvt5SyICkMG4Zl8bE3nGOOVYibe2HHcXsL60jxM/ExYMSnR2Ow89yUkrOioOSUiIiIiIi4rIKKxt4dM42vtp8ALBvwLt9fDeuG5mCv4+Xk6M7vCBfE1cOS+bKYclsP1DFW8v38cm6fDbkVnDHu+tIivDnztPTuXhQF7y9jM4OVzzM60v3AnDl8GQCfFznI7/t2IdIJ+Q6z1AREREREZEWNpuNj9fm8bcvt1HTaMZogOtHpXDPWd0J8XN+ZdTx6hkfwoyL+zH9rB68vXwfb63YT25ZPX/5ZDP/XbiHuydkcEH/RFVOSZvYWVjNsj2leBkNXDcyxdnhHELte3I4SkqJiIiIiIhLKatt4r5PN/HN1iIABiaH8diUPvROCHVyZCcvOtiX6Wf34PbT0nl35X5eXLiHfaV13PPBRl74YQ/3nZPJGZkxamuSU/Luyv0AnN0rlsQwfydHc6ifV0rpaS6tlJQSERERERGXsWpvGb+dtY6D1Y14exm456zu3Dqum8dUEvn7eHHT2DSuHJbMG8v28fLibLKKa7jxzTWMzYjiofN6kREb7OwwxQ3VNpr5dF0+ANeM6OrkaH7NbPkpLWVS26q00DNBRERERESczmaz8b+le7nqlRUcrG4kIyaIz+4YzR2npXtMQurnAn1N/Pb0dJb85XRuG98NHy8jS3aXMOk/S3j48y1U1jU7O0RxM19uLKCm0UxqVCAj0yKdHc6vNJmtjv/3NSkVIXZ6JoiIiIiIiFM1NFv4w4cb+duX2zBbbVzQP4HP7xxNn0T3bdc7XiF+3tx7Tibzp49jYu9YLFYbby7fz5n/XsTczQcOmcMjcjTvrswB4MphSRhdMJHbaLYA9tY9kwvGJ86hpJSIiIiIiDhNZV0z172+ik/X5+NlNPDgeb34zxUDXGprWEfoGhnIS9cOYdZNw+kWHUhJTSN3vLuOm99ay4HKemeHJy5uU14Fm/Mr8fEycungJGeHc1iNLZVSPl5GzU4TByWlRERERETEKQoq6rl05jJW7S0j2NfEW78Zxo1jUjv1B9ZR6VHMvXssvzszA28vA99tL+Ksfy/mg9U5qpqSI5rVUiV1bt84IgJ9nBzN4TVZWpJSat2Tn9GzQUREREREOtyegzVc/OIydhfXEBviy4e3jWR0epSzw3IJviYvpp/VnTl3jWVgchg1jWb+8slmbn9nHeW1Tc4OT1xMVUMzn28oAOCq4a434LxV60wpzZOSn9OzQUREREREOlRWcQ1XvryCwqoG0mOC+PSO0fSMD3F2WC6nR1wwH982invPycTby8C8rYVM+s9iftxd4uzQxIXMXp9PfbOFjJgghqaEOzucI/opKeXl5EjElSgpJSIiIiIiHSaruJorXl5BcXUjmXHBfHDLCBLD/J0dlsvyMhq4bXw3PrtjNGnRgRRVNXLNayv597c7sVjVzifwwepcAK4anuzSra9q35PD0bNBREREREQ6RPbBGq54eSUlNfaE1KybRxAZ5OvssNxCn8RQvrprLFcNTwbg2QVZ/OaN1VTUqZ2vM9tWUMXWgip8vIxMGZDo7HCOqulng85FWunZICIiIiIi7a6oqoFrX1tFSU0jPeNDeO/mES47kNlV+ft48fhFfXl6an/8vI0s2nWQ85//ka0Flc4OTZzk47V5AEzoFUO4i/881TdZAPDzVhpCfqJng4iIiIiItKvK+mauf30V+RX1pEYF8vaNw1z+A7Qru2hgFz69fTTJEQHkltVz2czlLNhR5OywpIM1ma3M3pAPwKWDuzg5mmOrbTIDEOhrcnIk4kqUlBIRERERkXbT0Gzh5jfXsKOwmuhgX976zTCi1LJ3ynolhPDlnWMYkx5FXZOFm95cw9sr9js7LOlAP+wspqy2iehgX8ZlRDs7nGOqbbRXSgX4KCklP1FSSkRERERE2oXNZuPeTzaxal8Zwb4m3vrNMJIiApwdlscIDfDmf9OGctngLlht8ODsLTw+dztWDUDvFFpb9y4emIjJDeY01TbaK6WCfLV9T37i+s9cERERERFxS/9dtIfZGwowGQ28dO1gesaHODskj+PtZeSJS/vxh7O6A/Dy4mzu/XSTNvN5uJKaRn7YUQzAJW7QugdQ06j2Pfk1JaVERERERKTNfbu1kH99sxOARy7ozaj0KCdH5LkMBgN3nZnBU5f1x2iAD9fkcc8HG2i2WJ0dmrST2evzMVtt9O8SSvfYYGeHc1zqNFNKDkNJKRERERERaVO7i6r5/QcbsNngupFduWZEV2eH1ClcMrgLz181CJPRwBcbC7hz1jqazEpMeRqbzeZo3bt0SJKTozl+NS0zpQI1U0p+RkkpERERERFpM7WNZm5/dx11TRZGdYvkwfN6OTukTuXcvvG8dO1gfLyMfLO1iLvfX49ZFVMeZduBKnYUVuPjZeSCfgnODue41Tra9zRTSn6ipJSIiIiIiLQJm83GA7O3kFVcQ2yIL89eORBvNxjA7GnO7BnLq9cPwcfLyNdbCrn3080afu5BvthQAMCZPWMIDfB2cjTHT+17cjh6hRARERERkTbxwepcPlufj5fRwLNXDCQqyNfZIXVa47pH8+yVA/EyGvh4bR5/n7MNm02JKXdntdr4YqM9KXXhAPepkgINOpfDU1JKRERERERO2fYDVTz0xVYA/nB2d4anRTo5IpnUJ44nLukHwBvL9vHcgiwnRySnas3+cg5UNhDsa+K0HjHODueE1DpmSql9T36ipJSIiIiIiJyShmYLv39/A01mK6f1iOa2cd2cHZK0uGRwFx453z7X69/zdzmqbMQ9fb4hH4CJfeLw83av5E5VQzMAIf7u03Io7U9JKREREREROSX/nr+LnUXVRAb68ORl/TEaDc4OSX7mhtGp3Dw2FYA/frSRtfvLnRyRnIxmi5W5mw8A7te6B1BRZ09KhSkpJT+jpJSIiIiIiJy0FdmlvLIkG4B/XNJPc6Rc1L3n9GRCz1iazFZueWsNuWV1zg5JTtCPu0sor2smKsiHkW7WHmu12hyVUqFKSsnPKCklIiIiIiInpbqhmT98uBGbDaYOSeKsXrHODkmOwMto4D9XDKB3QgiltU3c9OYaxzY0cQ+trXvn9UvA5GZbLasbzbTO2Vf7nvycez2TRURERETEZTw+dwf5FfUkRfjzYMvcInFdgb4mXrt+KNHBvuwsquavn23RRj43Ud9k4dttRQBc4Iate5UtrXt+3ka3m4Ul7UtJKREREREROWErs0t5b1UOAP+6tD9BWvPuFuJC/Xj+yoF4GQ18tj6fd1fmODskOQ7fbS+irslCUoQ/A5PCnB3OCausb50n5ePkSMTVKCklIiIiIiInpKHZwn2fbQbgymFJjHCz+Tad3fC0SP48sQcAf/9yG5vyKpwbkBxT69bEC/onYDC43yKBivomQPOk5NeUlBIRERERkRPy4g9ZZB+sJTrYl3vP6enscOQk3DIujbN7xdJksXLnrPXUNGq+lKuqbmhm0a6DAJzf3/1a9+CnSqnQACWl5FBKSomIiIiIyHHbVVTNfxftAeBvF/RW5YObMhgMPHl5fxLD/Mkpq+PvX251dkhyBAt2FNNktpIWHUiP2GBnh3NSHEkp/b6QX1BSSkREREREjovNZuOvn22m2WJjQs9YzukT5+yQ5BSE+Hnz9NQBGAzw4Zo85m054OyQ5DC+3lwIwLl94t2ydQ+gok5JKTk8JaVEREREROS4fL6hgNX7yvH39uLvF/Z22w/I8pNhqRHcOq4bAPd9upniqgYnRyQ/V9to5oedxQCc09d9k8BVjkHnSkrJoZSUEhERERGRY6ppNPP43O0A3HlGOglh/k6OSNrK9LO60ys+hPK6Zu79dDM2m83ZIUmLhTsP0mi20jUygF7xIc4O56SpUkqOREkpERERERE5pucXZFFc3UhyRAA3jkl1djjShnxMRp65YgDeXgYW7Chmzia18bmKuS0tlZP6xLl1ZWJ5nX37Xligj5MjEVejpJSIiIiIiBxV9sEaXvsxG4CHzuuFn7eXkyOSttY9Npg7TksH4G9fbqWiJYkgztPQbOGHHfbWvXP7xDs5mlNTWmt/PkUpKSW/oKSUiIiIiIgc1WNfbafZYmN892jO7Bnj7HCkndxxejfSY4IoqWlytGqK8yzadZC6JguJYf706xLq7HBOSVlLUioyyNfJkYirUVJKRERERESOaNmeEhbsKMZkNPDQ+b3cuoVIjs7X5MWMi/sC9m18y/aUODmizu3rzfbWvXPcvHUPoKSmEYAIVUrJLygpJSIiIiIih2W12vjH1zsAuHJYMt2ig5wckbS3oSkRXD08GYCHPt9Ks8Xq5Ig6p0azhe+2t27dc+/WvUazheoGMwBRQUpKyaGUlBIRERERkcP6avMBNuVVEujjxe/OzHB2ONJB/jwpk4hAH7KKa3hnxX5nh9Mp/bi7hJpGM3EhfgxMCnN2OKekvNa+ec9kNBDip+17ciglpURERERE5FeazFb+9c1OAG4Z143oYM2C6SxC/b3549k9AHh6/i7HPCDpOHM3FwL2rXtGo2e07oUH+rj9Y5G2p6SUiIiIiIj8yrsr95NTVkdUkC83jU11djjSwaYOTaJnfAhVDWae+nans8PpVJotVr7bXgTY50m5u9bNe5GaJyWHoaSUiIiIiIgcoqbRzHMLsgC456wMAn1NTo5IOpqX0cAj5/cC4L1VOWwrqHJyRJ3H6r1lVNY3Exnow5CUCGeHc8rKau2VUlHavCeHoaSUiIiIiIgc4s1l+yirbSI1KpCpQ5KcHY44yfC0SCb3i8dqg8fnbnd2OJ3Gt9vsVVJnZMbg5QHtbqU19kopbd6Tw1FSSkREREREHKobmnl5cTYAvzszHZOXPjJ0ZvdOysTby8CPWSUsyypxdjgez2azMb8lKXVWr1gnR9M2SlqSUpHavCeHoVcYERERERFxeHPZPirrm0mLDuSC/onODkecLCkigCuHJQPwxDc7sdlsTo7Is20/UE1+RT1+3kbGZkQ7O5w2ofY9ORolpUREREREBICqhmZeWbIXgLvPzPCI1iE5dXeekY6/txcbciscVTzSPlq/v2PSo/H38XJyNG1D7XtyNEpKiYiIiIgIAG8stVdJpccEcV6/BGeHIy4iJtiPaaNTAHjy251YrKqWai/ztxcCcLaHtO4BlGj7nhyFklIiIiIiIkJlfTOvLmmdJaUqKTnUreO6EeJnYldRDZ9vyHd2OB6poKKeLflVGA1wZs8YZ4fTZkqq7e17kWrfk8NQUkpERERERHh7+T6qGsxkxAQxuW+8s8MRFxMa4M1tp3UD4LkFWaqWagffbbe37g3uGu4xCRybzcbBlqRUbIhnPCZpW0pKiYiIiIh0cg3NFv63dB8Avz09XVVScljXjUwh1N+bvSW1zN18wNnheJxvt3rW1j2AirpmmixWAKKDlZSSX1NSSkRERESkk/toTS6ltU10CffnvH6qkpLDC/I1OWZLvfBDljbxtaHK+mZWZJcCcFavOCdH03aKqhsACA/wxtfkGYPbpW0pKSUiIiIi0omZLVZebpkldfPYNExe+oggR3bDqBQCfbzYUVjNgh3Fzg7HYyzcWYzZaiM9JojUqEBnh9NmiqvsrXsxwX5OjkRclV5xREREREQ6sa82HyC3rJ6IQB8uH5Lk7HDExYUF+HDNyK4APK9qqTYzf5vnte4BFLfMk4rRPCk5AiWlREREREQ6KZvNxsxF9iqpG0al4O+j9ho5thvHpOJjMrI+p4Lle0qdHY7bazJbWbTzIABne1hSqqjK3r6nSik5EiWlREREREQ6qcW7S9h+oIoAHy+ua6l+ETmWmGA/rhhqr6r776I9To7G/a3ILqW60UxMsC/9u4Q5O5w2pc17cixKSomIiIiIdFKvLLZXSV05LJmwAB8nRyPu5OaxaRgNsGR3CbuKqp0djlv7bru9de/MnrEYPWzz5U+VUkpKyeEpKSUi0ga++OILBg0ahJ+fH8nJyTz88MOYzWZnhyUiInJEu4qq+TGrBKMBx0Y1keOVFBHgmH/0v6X7nBuMG7PZbI6B8Wdmxjg5mrb300wpte/J4SkpJSJyir7++mumTJlCWFgYzz33HFOmTOGxxx7jrrvucnZoItJJvPDCC6SkpODn58fw4cNZtWrVUY//6KOPyMzMxM/Pj759+zJ37txDvm6z2XjooYeIj4/H39+fCRMmsHv37kOOKSsr4+qrryYkJISwsDBuvPFGampqDnt/WVlZBAcHExYWdkqPU9pWayJhYu84uoQHODcYcUu/GZ0KwKfr8iivbXJyNO5pd3ENeeX1+JqMjE6PcnY4ba61Ukrte3IkSkqJiJyiP/7xj/Tr149vv/2Wm2++mWeffZb77ruPl156iR07djg7PBHxcB988AHTp0/n4YcfZt26dfTv35+JEydSXHz4Ve3Lli3jyiuv5MYbb2T9+vVMmTKFKVOmsGXLFscxTzzxBM8++ywzZ85k5cqVBAYGMnHiRBoaGhzHXH311WzdupX58+czZ84cFi9ezC233PKr+2tububKK69k7Nixbf/g5aRV1DXx2fo8AKa1JBZETtSw1Ah6J4TQaLby3uocZ4fjllqrpEZ2i/S4RQM2m+2nSikNOpcjUFJKRDzeI488gsFgICsrixtuuIGwsDBCQ0OZNm0adXV1p3Tb27ZtY9u2bdxyyy2YTCbH5XfccQc2m42PP/74VMMXETmqf//739x8881MmzaNXr16MXPmTAICAnj99dcPe/x//vMfJk2axJ/+9Cd69uzJo48+yqBBg3j++ecB+4eIZ555hgceeIALL7yQfv368dZbb1FQUMDs2bMB2L59O/PmzePVV19l+PDhjBkzhueee47333+fgoKCQ+7vgQceIDMzk8svv7xdvw9yYt5blUtDs5XeCSEMTQl3djjipgwGgyOp+day/TRbrE6OyP20JqXO8MDWvcr6ZprM9udEtGZKyREoKSUincbll19OdXU1M2bM4PLLL+eNN97gb3/7m+PrlZWVlJSUHPPPz9tT1q9fD8CQIUMOua+EhAS6dOni+LqISHtoampi7dq1TJgwwXGZ0WhkwoQJLF++/LDXWb58+SHHA0ycONFx/N69eyksLDzkmNDQUIYPH+44Zvny5YSFhR3yu2/ChAkYjUZWrlzpuGzBggV89NFHvPDCC8f1eBobG6mqqjrkj7Q9s8XK28v3AfYqKYPBswYrS8c6v388UUE+FFY18PWWQmeH41Yq65pZu78cgNN7eF5SqrVKKtTfGz9vz6oCk7ajpJSIdBoDBw7kk08+4fbbb+eVV17hoosu4rXXXnN8/cILLyQ6OvqYf+68807HdQ4cOABAfHz8r+4vPj7+VxUDIiJtqaSkBIvFQmxs7CGXx8bGUlh4+A+HhYWFRz2+9b/HOiYm5tAPUCaTiYiICMcxpaWl3HDDDbzxxhuEhIQc1+OZMWMGoaGhjj9JSUnHdT05Md9sLaKgsoHIQB/O6/fr1y+RE+Fr8uKaEV0BeHPZPucG42YW7T6IxWqje2wQSRGeN9dN86TkeJiOfYiIiGe47bbbDvn72LFj+eyzz6iqqiIkJISnnnqK8vLyY95OQkKC4//r6+sB8PX99Yutn5+fzvKLSKd18803c9VVVzFu3Ljjvs59993H9OnTHX+vqqpSYqodvLFsLwBXD09W9YK0iauGJfPcgizW7i9nZ2E1PeKCnR2SW1iwvQiAMzJjj3Gkeyqu0jwpOTYlpUSk00hOTj7k7+Hh9hka5eXlhISEMHjw4BO+TX9/f8DecvJLDQ0Njq+LiLSHqKgovLy8KCoqOuTyoqIi4uLiDnuduLi4ox7f+t+ioqJDqkCLiooYMGCA45hfDlI3m82UlZU5rr9gwQK++OILnnzyScA+q8pqtWIymXj55Zf5zW9+86vYfH19D5vkl7azo7CK1fvKMRkNjuoWkVMVE+LHhJ4xfLO1iPdW5fDIBb2dHZLLs1htLNx1EPDMeVIAhS2VUjGqlJKjUPueiHQaXl6HPxtss9kA+3rzwsLCY/6prKx0XLf1A1trG9/PHThw4JCqKhGRtubj48PgwYP5/vvvHZdZrVa+//57Ro4cedjrjBw58pDjAebPn+84PjU1lbi4uEOOqaqqYuXKlY5jRo4cSUVFBWvXrnUcs2DBAqxWK8OHDwfsc6c2bNjg+PP3v/+d4OBgNmzYwEUXXdQ23wA5YbNW2jeknd07lpgQVS9I27lymP3k36fr8mhotjg5Gte3PqecirpmQv29GZQc5uxw2sWBSntHQUKoTtLKkalSSkSkxcUXX8yiRYuOedz111/PG2+8AeCoGlizZg3Dhg1zHFNQUEBeXt5h16OLiLSl6dOnc/311zNkyBCGDRvGM888Q21tLdOmTQPguuuuIzExkRkzZgBw9913M378eJ566ikmT57M+++/z5o1a3j55ZcB+zat3//+9zz22GNkZGSQmprKgw8+SEJCAlOmTAGgZ8+eTJo0iZtvvpmZM2fS3NzMnXfeyRVXXOFIxvfs2fOQONesWYPRaKRPnz4d9J2RX6prMvPZunwArhqmKilpW+MyokkM8ye/op65mw9w8aAuzg7JpbVu3RvfPRqTl2fWihyosFdKxYcpAS5HpqSUiEiLk5kp1bt3bzIzM3n55Ze59dZbHdVY//3vfzEYDFx66aXtFq+ICMDUqVM5ePAgDz30EIWFhQwYMIB58+Y5BpXn5ORgNP70gWfUqFHMmjWLBx54gPvvv5+MjAxmz559SLLoz3/+M7W1tdxyyy1UVFQwZswY5s2bh5/fTx8s3n33Xe68807OPPNMjEYjl1xyCc8++2zHPXA5YV9uLKC60UzXyABGdYt0djjiYYxGA1cOS+LJb3fx3qocJaWOoTUp5amtewAFlfaklCql5GiUlBIRaXEyM6UA/vWvf3HBBRdw9tlnc8UVV7Blyxaef/55brrppl9VCoiItIc777zzkM2gP7dw4cJfXXbZZZdx2WWXHfH2DAYDf//73/n73/9+xGMiIiKYNWvWccd4ww03cMMNNxz38dL2Wlv3rhyWjNFocHI04okuG5LE09/tZvW+cnYXVZMRq4Hnh5NfUc+OwmqMBnullKdqbd9TpZQcjWfWCYqIdKDzzjuPTz/9lLKyMu666y4+/fRT7r//fl544QVnhyYiIgLAlvxKNuZV4u1l4LLBqmCR9hEb4seZLZU/s1blODka1/VDS5XUoORwwgN9nBxN+6hvslBR1wxAfIgqpeTIlJQSEY/3yCOPYLPZiIqKOuTyG264AZvNRkpKyinfx5QpU1i/fj0NDQ3k5uby6KOP4u3tfcq3KyIi0hZaEwST+sQTGaRNWNJ+Wgeef76hgCaz1cnRuCZH615Pz23da62SCvDxIsRfDVpyZEpKiYiIiIh4sJpGM5+vbx1wnuzkaMTTjc2IIjrYl7LaJhbtOujscFxOfZOFpVklgGfPkzrQMk8qPtQPg0HtwnJkSkqJiIiIiHiwuZsPUNtkITUqkBFpEc4ORzycycvIhf3tS2E+W5/n5Ghcz/LsEhrNVhLD/OnhwTO3CirslVIJYWrdk6NTUkpERERExIN9vNaeGLh0cBdVLEiHaN289922Yipb5gqJXWvr3umZ0R7981j4s0opkaNRUkpERERExEPtL61l1d4yjAa4ZJAGnEvH6JUQQmZcME0WK19tPuDscFyGzWZjwfaWeVIe3LoHUNCSlIoLVaWUHJ2SUiIiIiIiHuqTliqpMRnRxKliQTrQRQMTAfh0nVr4Wu0sqqagsgFfk5GRaVHHvoIbax10nqDfO3IMGoPfBqxWKwUFBQQHB3t0CaaIiIinsdlsVFdXk5CQgNGoc3XiWaxWG5+ssw84v3SwqqSkY00ZmMg/5+1gzf5y9pfW0jUy0NkhOd2infbB76O6ReLv4+XkaNrXgYqW9j3NlJJjUFKqDRQUFJCUlOTsMEREROQk5ebm0qWLPrSLZ1mRXUp+RT3BfibO7hXr7HCkk4kN8WN0ehRLdpfw2fp8fj+hu7NDcrqFLUmp8d2jnRxJ+1OllBwvJaXaQHCwfWtCbm4uISEhTo5GREREjldVVRVJSUmO13IRT/JRS+veBf0T8PP27KoMcU0XDUxkye4SZq/P5+4zMzp1V0lNo5k1+8sAOK2HZ8+Tqm00U9VgBlDbsByTklJtoPWXa0hIiJJSIiIibqgzf1ASz1Td0MzXW+wDptW6J84ysXccvqbN7CutY2tBFX0SQ50dktMsyyqh2WIjJTKAlCjPbmVsrZIK9jUR7Oft5GjE1Wl4goiIiIiIh/l6cyENzVa6RQcyICnM2eFIJxXoa+L0lqqguZ18C9/CXZ2nda/AMU9KVVJybEpKiYiIiIh4mM832gecXzyoiyoBxakm94sH4KvNB7DZbE6OxjlsNptjyLmnt+7BT5VScaEaci7HpqSUiIiIiIgHKa5qYNmeUsA+T0rEmc7IjMHP28j+lha+zmjPwRryK+rxMRkZkRbp7HDaXX65PSnVJVxJKTk2JaVERERERDzIl5sOYLPB4K7hJEUEODsc6eR+3sL3VSdt4Wvdujc8NQJ/H89fOpCnpJScACWlREREREQ8yBcb7K17Fw5QlZS4htYWvrmdtIVv0a7O07oHkFdhT0olhikpJcempJSIiIiIiIfYW1LLxrxKvIwGzu0b7+xwRIDO3cJX12RmZXYZAKf18Pwh5/Dz9j1VasqxKSklIiIiIuIhvthQAMCY9CiignydHI2IXYCPiTMy7VVCczZ1rha+5XtKabJY6RLuT1pUoLPDaXfNFqtj0HmS2vfkOCgpJSIiIiLiAWw2m2Prngaci6uZ3Nf+nOxsLXw/te5Fd4pNmIWVDVht4ONlVGJcjouSUiIiIiIiHmBrQRXZB2vxNRk5u3ess8MROcTpmdH4mozklNWxq6jG2eF0CJvN5hhyPr57J5kn1dK6lxjuj9Ho+Uk4OXVKSomIiIiIeIAvNtpb9yb0jCXYz9vJ0YgcKsDHxJj0KADmbyt0cjQdY19pHTlldfh4GRnVLdLZ4XSIvPI6QJv35PgpKSUiIiIi4uZsNhtftczqOV+te+KiJvSyV/DN31bk5Eg6xsKdxQAMTQ0n0Nfk5Gg6Rp5jyLmSUnJ8lJQSEREREXFzm/Iqya+oJ8DHq9Ns+BL3c2bPGAwG2JhXSVFVg7PDaXc/te51np/J/IqW9r0wJaXk+CgpJSIiIiLi5uZusVdJnZ4Zg5+3l5OjETm8mGA/BiSFAfDdds+ulmpotrAiuxSA03p0jnlS8PP2vQAnRyLuQkkpERERERE3ZrPZmLfFPqPn3D7xTo5G5Ogm9OwcLXwrsktpNFtJCPUjIybI2eF0GLXvyYlSUkpERERExI1tO1DF/tI6/LyNat0Tl3d2y1ypZVml1DSanRxN+3G07vWIxmDoHFvozBYrByrtbZmqlJLjpaSUiIiIiIgb+3qzvUpqfPfoTjNMWdxXekwQKZEBNFmsLN510NnhtJvWxza+e+dp3SuqbsRiteHtZSAm2NfZ4Yib0KuWiIiIiIibstlsjnlS5/ZV6564PoPBwFm9YnllyV7mbytyyvO2vLaJ/WV1lNY0UlHXTEV9Mw3NFsfXTUYDIf7ehPp7E+bvTWyoH4lh/sc9ry2ntI7sklpMRgOj0yPb62G4nLwy+zyphDB/jMbOUR0mp05JKRERERERN7W7uIbsg7X4eBk5I7PzVGSIe5vQ056UWrCjGIvVhlc7JjAOVjeyZl8Z63LKWZ9TQdbBGirqmk/qtmJDfOkaGUiv+BB6JYTQOyGEjJhgfEyHNiAt3FUMwOCu4QT7eZ/yY3AXmiclJ0NJKRERERERNzV3s71KamxGVKf68CvubXDXcEL8TFTWN7Mht4LBXcPb9Pazimv4Zmsh324rYmNuxWGPiQ3xJTbEz14NFeCDv7cRA/bkWLPFSmV9M5X19iqqAxX11DZZKKpqpKiqkVV7yxy34+dtZHDXcEamRTIiLZJ+XcJY1DJPqjNt3QPIr2hJSoVpnpQcPyWlREScqNFsobCygfyKegoqGjhQUU95XbPjjVBVfTP1zRaaLVYsVpv9j82Gt5cRP28jfiYv/Ly9CPI1ERnkQ2SgDxGBPkQH+5EU4U9yRABhAT7OfpgiItJOWudJnaPWPXEjJi8jYzOi+WrzARbtLG6TpFRdk5k5Gw/w/uoc1uVUHPK1nvEhDEoOY1ByOD3jQ0iJCiDA5/g/CttsNspqm8gtr2dPcQ3bDlSxtaCSrQVVVDeYWZpVytKsUgB8TEaazFaANk+2ubq8cnv7XqIqpeQEKCklItIBmsxWdhZWs6Owit3FNewqqmZ3UY3jjFJ7CvEzkRwZQEZMsKPcvGd8CBGBSlaJiLizfSW17CyqxmQ0cFbPWGeHI3JCxvdoSUrtOsj0s3uc9O1U1jXz5vJ9/G/pXspb2vJMRgNjM6I4q1ccE3rGEBPid0qxGgwGIoN8iQzyZUBSGJe0XG6z2cgqrmFFdinLs0tZkV1GWW2T43pXvbKCUelRXDwwkbN7x55QIswdqX1PToZn/1SIiDhJaU0jK/eWsb5lfsHm/EoaW86a/ZKft5GEMH8Sw/yJC/EjIsiH0JbhmqH+3gT6mDB5GfAyGjAZjRgN0GSx0mi20thsoaHZSlVDM6U1TZTWNlJW20RRVSM5ZXUcrG6kqsHMlvwqtuRX8dn6fMf9Job5MzQlnKGpEQxLiSA9JqjTrCwWEfEE320vAmB4WgShAWrdE/cyvns0AJvyKymtaSQy6MS2tdU3WXh1STYvLc6mptEMQFKEP1cN68olgxOJCT61RNTxMBgMZMQGkxEbzLUjU7BabVz20nLW7i8HwGy1sXjXQRbvOkigjxeT+sRzyeBERqZFeuR7rtyWSqku4Wrfk+OnpJSISBtoaLawdn85i3cf5MfdJWwtqPrVMaH+3vSKD6F7bBAZscF0jw2mW3QgEYE+7fbGpK7JTF55vf1semE12w5Use1AFftL68ivqCd/Qz2zNxQAEBHow7iMKE7PjGF892i1/YmIuLj52+xJqQmqkhI3FBviR8/4ELYfqGLx7oNcNLDLcV3PZrPxxcYC/vH1Dg5UNgCQGRfM7ad1Y3LfeExexmPcQvsxGg1UN9irtZ6/aiA940P4YkMBn63PJ6esjk/W5fHJujzSY4K4fmRXLhrUhSBfz/hI3myxUlBh//foGqmklBw/z/gJEBFxgtpGMwt3HuTrLQf4YUcxtU2WQ76eGRfMkJRwBiaFMzA5jNSowA4/KxbgY6J7SwLs7N5xjsurG5rZlFfJyr1lrN5bxvrccspqm5i9oYDZGwowGuxzECb1ief8fvGnXPYuIiJtq7y2iTUt1RhKSom7Oq1HNNsPVLFo5/ElpfIr6rn/080s2mUfJJ4Y5s+fJ/Xg/H4JGNtxg9/xKqxsYFdRDUYDjEmPIizAh3vO6s7vJ2Swdn85n6zL54sN+WQV1/Dg51v557ydXDIokRvHpJHs5omcgop6LFYbviYj0SdY9Sadm5JSIiInoNli5YcdxXyyLo+FOw8e0pIXG+LLmPRoxnWPYlS3KKKDXfcFOdjPm9HpUYxOjwLsM6825FawYEcxP+woZmdRNav3lbN6XzmPfbWNkWmRXNA/gXP6xhPqrxYRERFnW7irGIvVRmZcMEkR7v1hVjqv8d2j+e/CPSzeXYLVajtiYslms/HhmlwenbOdmkYzPiYjd52ezs3j0vDz9urgqI9s8W57sqxfl7BDKs4NBgNDUiIYkhLBfedm8unaPN5avp/sklreXL6ft1fs54L+Cdx+Wjo94oKdFf4p2V9qb91LjghwiQShuA8lpUREjsOuomo+WpPLZ+vzKan5aYBl18gAJvWJ45w+8fTvEuq28wF8TEaGpUYwLDWCe8/JJK+8ju+2FfHlpgOs3V/Osj2lLNtTysNfbOX8/glcM6KrWz9eERF39922YkBVUuLeBncNJ9jXRFltE5vyKxmQFParY2obzfz1s82OcQODksN44tJ+pMe4XvJmye4SAMZlRB3xmBA/b24Yncp1I1NYuqeEV5bsZfGug45q9bN6xfK7MzLo2yW0o8JuEzllPyWlRE6EklIiIkdgsdqYv62I15fuZdXeMsflUUG+XDIokQsGJNArPsQjEzNdwgO4YXQqN4xOJbesji83FTB7fT67imr4eG0eH6/No3dCCNeO6MpFgxLxNbnOWUoREU/XaLY42pcm9FJSStyXt5eR0elRzNtayKKdB3+VlNpdVM1t76xlz8FavIwG/nB2d24d1w0vF6zEsVht/NhSKTWuZYj70RiNBsZmRDM2I5ot+ZW8uDCLr7cUMn9bEfO3FTG5bzzTz+5Ot+ig9g69TTiSUm7ehigdT0kpEZFfqGk08/6qHN5Yts+x2tZkNHBGZgyXD0lifI9ovJ04RLOjJUUEcMdp6dw+vhvrcip4d8V+5mw+wNaCKu79dDP/nr+LG8ekctXwZIL91NonItLeVmaXUdNoJjrYl36J7lVNIfJL43tEM29rIQt3FXP3hAzH5T/uLuH2d9ZS3WgmLsSP564ayNCUCCdGenRbCyopr2sm2NdE/8NUfB1Nn8RQXrx6MFnFNbz4Qxafbcjnq80HmLe1kMsGd+HuCRnEh/q3T+BtJKdUlVJycpSUEhFpUd3QzJvL9vHqj3upqLNvTgkL8Obq4clcOyKFuNDOPezbYDAwuGs4g7uG8+B5vfhobS6v/7iPwqoGZny9g+d/yOL6kSncPC5Nc6dERNrRd9tbt+7FaHaLuL3xLVVFG3MrqKxvJtTfm/dX5fDA7C2YrTaGpUTw32sGEeniw7MXt1QvjkqPPOmTl+kxQfx76gBuHd+Nf32zk++2F/H+avv4iJvHpnHH6d0I8HHNj/D7WyqltHlPTpRrPqNFRDpQdUMzbyy1J6Mq6+3JqLSoQG4am8ZFAxPx91Fr2i+FB/pwy7hu3DAqlc835DNz0R72HKzl+R+yeHvFfm4/rRvXj0zR905EpI3ZbDa+22ZPSp2l1j3xAAlh/qRFBZJdUsvK7FJ2FFbz7/m7AJgyIIF/XtrPLcYELG6ZJzU249ite8fSIy6YV68fwtr9Zfzz652s2lfG8z9k8fHaPO47N5ML+ie41PgIm81GrmZKyUlyu/6TF154gZSUFPz8/Bg+fDirVq066vEfffQRmZmZ+Pn50bdvX+bOnXvI1x955BEyMzMJDAwkPDycCRMmsHLlyvZ8CCLiIswWK++s2M9p/1rIU/N3UVnfTLfoQP5zxQDmTx/PVcOTlVQ5Bh+TkcuGJDH/nvHMvGYQ3WODqKxv5h9f7+C0J3/gg9U5WK02Z4cpIuIxth2ooqCyAX9vL0Z1O/Iw5c6qvsnCj7tLeHPZPp6Yt4N/fbODV5dks3BnMTWNZmeHJ0cwKj0SgFveXutISP3ujHSenjrALRJS1Q3NrNtfDvxU+dUWBneN4INbR/DStYPpEu5PYVUDd7+/gctfWs7Wgso2u59TVVbb5Pj56hKupJScGLeqlPrggw+YPn06M2fOZPjw4TzzzDNMnDiRnTt3EhMT86vjly1bxpVXXsmMGTM477zzmDVrFlOmTGHdunX06dMHgO7du/P888+TlpZGfX09Tz/9NGeffTZZWVlER7fdLxQRcR02m42FOw/y+Nzt7C6uAeyVUb8/qzuT+8a75PBMV2c0GpjUJ56zesXx2fp8np6/i/yKev7yyWZmrczhbxf2OexGHREROTHfb7dv3RuTEYWft+t/WO8IFquNH3YU896qHJbsLqHJYj3scT4mI+Myopg2OpVR3SJdqtKksxvdLYp3VuQ4/v7A5J7cNDbNiRGdmBXZZZitNlIiA0hq40ohg8HAxN5xjO8ezSuLs3lhYRar95Vz/nM/8pvRqUw/u7vTW/pah5zHhfjp95KcMIPNZnObU9jDhw9n6NChPP/88wBYrVaSkpK46667uPfee391/NSpU6mtrWXOnDmOy0aMGMGAAQOYOXPmYe+jqqqK0NBQvvvuO84888zjiqv1OpWVlYSEhJzEIxORjpJbVsdDn2/hh532vv/wAG9+P6E7Vw1P7lTDy9tbo9nC28v385/vdlPdaMZggKlDkvjzpEwiAn2cHZ6Ig17DXZv+fX7tkv8uY+3+ch6/qC9XDU92djhOZbXa+HpLIU/N30n2wVrH5fGhfvRNDCUhzD4Yuri6gS35VY4PzgCDksP4+4V96KNB8S7h/s/sJ7EA7jojnT+c3cPJEZ2YB2dv4e0V+7l2RFcendKnXe+roKKe/5u7na82HQCgS7g/j1/U97g2/rWXzzfkc/f7GxiWGsGHt450WhziWo73NdxtKqWamppYu3Yt9913n+Myo9HIhAkTWL58+WGvs3z5cqZPn37IZRMnTmT27NlHvI+XX36Z0NBQ+vfvf8RYGhsbaWxsdPy9qqrqBB6JiDhDs8XK/5bu5en5u6lvtuDtZWDa6FR+e3q6hnK3A1+TFzeNTeOCAQn84+sdfLoun/dX5zJ/WxGPTunDuX3jnR2iiIjbqahrYn2OvUXotB6du6J/V1E1936yiXU5FYB9McnlQ5K4dHAXMmKCflUFZbPZ2F1cw7sr9vP+6lzW5VRwwfM/ctPYNP54dg98TDox5SyvLM52JKQA0qIDnRjNyVmy236ysyMSQwlh/rxw1SAuGVTEA59tIa+8nuteX8VFAxN58LxeTjn5p817circ5rdvSUkJFouF2NhDBzrGxsZSWFh42OsUFhYe1/Fz5swhKCgIPz8/nn76aebPn09U1JF79GfMmEFoaKjjT1JS0kk+KhHpCFvyK7ng+aU8PncH9c0WhqdG8PXd47j/3J5KSLWzmGA//n35AD6+bSQ9YoMprW3ijnfX8dtZ6yitaTz2DYiIiMOS3SVYbdA9NshRBdTZmC1WnvluF5OfXcK6nAoCfbz4/YQMlvz5dO4/tyfdY4MP25ZnMBjoHhvM3y7sw5I/n855/eKx2uDlxdlMfXk5ByrrnfBo5MM1ufzf3O2HXLY0q9RJ0ZycnNI69pXWYTIaGJEW0WH3e0ZmLN9OH88No1IwGOCz9flM+Pcivtl6+M/G7cmxeU9JKTkJbpOUak+nn346GzZsYNmyZUyaNInLL7+c4uLiIx5/3333UVlZ6fiTm5vbgdGKyPEyW6w8v2A3U15YyvYDVYQFePPEpf14/5YRpMcEOTu8TmVISgRf3DWau85Ix8to4KtNBzj76cV837LWXEREjm1hS+t5Ww5SdidFVQ1c9epKnvluN80WGxN6xvDdH8bz+wndCfY7/pNMMSF+PH/VIF6+djAhfibW51Rw3rM/simvov2Cl19Zsvsg9326GYBbx6Xx1m+GAbAsqwQ3mjDD4pYqqUFdw0/oedgWgnxNPHJBbz69fRQ9YoMpq23i1rfX8sePNlLd0NxhcbS2xiZHKiklJ85tklJRUVF4eXlRVHToB5iioiLi4uIOe524uLjjOj4wMJD09HRGjBjBa6+9hslk4rXXXjtiLL6+voSEhBzyR0Rcy/7SWi5/aTlPfrsLs9XGOX3i+H76eC4fkqTBpk7ia/LiD2f34PPfjiYzzl41deOba3h0zjaazIcfSisiInZWq41Fu+wffk/r8esFP55uZXYp5/5nCav2lhHo48V/rhjAK9cNIT705CvGzu4dx5y7xtIzPoTS2iaufHkFP+4uacOo5Uj2HKzhjnfXYbHauHhgIveek8nQlAh8vIwUVDawr7Tu2DfiIha3/FyOy3DeNsyByeF8cddobhvfDYMBPl6bx6RnlrAiu2OqznLL1L4nJ89tklI+Pj4MHjyY77//3nGZ1Wrl+++/Z+TIww9TGzly5CHHA8yfP/+Ix//8dn8+M0pE3MvnG/I55z/2sv5gXxP/vrw/L149iMggX2eHJkCfxFA+v3M0vxmdCsBrP+7l0pnL2F9ae4xrioh0XtsOVFFS00iAjxdDUsKdHU6H+nxDPte+torS2iZ6xocw53djuXBAYpucZEqODOCj20YyOj2S2iYL095YpSredlZZ18xNb66husHM4K7hzLikLwaDAX8fLwYmhwGwNMs9koPNFivL99gTP84cNA72k3/3npPJh7eOJCnCn/yKeq58ZQUz5m6n+QgbKdtCQ7OFwqoGALpGut88MHE+txl0DjB9+nSuv/56hgwZwrBhw3jmmWeora1l2rRpAFx33XUkJiYyY8YMAO6++27Gjx/PU089xeTJk3n//fdZs2YNL7/8MgC1tbX83//9HxdccAHx8fGUlJTwwgsvkJ+fz2WXXea0xykiJ6fJbOX/vtrGm8v3AzAsNYJ/X96fLuE6a/NLZouVvPJ69pbUUlBZT3FVIwdrGjlY3Uh5bRP1zRbqmyzUNVloNFswGgwYjQa8DAa8jAaCfE2E+nsT4m8ixN+bmGA/EsP9SQzzIyHMn+SIgKOuJ/Y1efHQ+b0Y2S2SP360kU15lZz33I88d+XATlkBICJyLK1VUqO6ReFr6jwr119evIfH5+4A4Jw+cTw9dUCbr5wP8jXx+g1DueeDDczdXMjt767jfzcMZXS68ypfPJXFauPO99axt6SWxDB/Zl4z+JDn8+j0KFbuLWPZnhKuGdHViZEenw25FVQ3mgkP8KZ3gmtschyaYp+d+ticbby/OpeXFmezcm8Zz105kKR2qGTKK6/HZrP/HIUHaFarnDi3SkpNnTqVgwcP8tBDD1FYWMiAAQOYN2+eY5h5Tk4ORuNPxV+jRo1i1qxZPPDAA9x///1kZGQwe/Zs+vSxr+n08vJix44dvPnmm5SUlBAZGcnQoUNZsmQJvXv3dspjFJGTU1BRzx3vrmNDbgUAd56ezj1ndcfLqFa9g9WNbMmvZFNeJVsKKtlzsIac0jrM1vab12Aw2Eu4u8cGkxkXTK/4EAanhBMT7HfIcWf1iuXru8dy56x1rMup4DdvrOa+c3py09hUtVmKiPzMwp32eaedaevezEV7+MfX9oTUTWNSuf/cnhjb6XXd1+TFf64YSLNlHfO3FXHzW2t4+8ZhDO7acYOrO4PnFuxmye4S/L29eOW6IUQHH1rFPjo9kn/Ph+V7SrHZbC7/XmBJS7J4TEa0S73nDPI18Y9L+nF6Zgx/+mgjG3IrmPzsEp64tD+T+hx+9M3JyimzV7onRwS4/L+XuCaDzZ2myLmoqqoqQkNDqays1HwpESdYu7+cW95aQ2ltE6H+3jw9tT9nZMYe+4oeKq+8juV7Slm+p5SVe8vIrzj8RiE/byMpkYF0CfcnOtiPmGBfooN9iQz0wd/HiwAfEwE+XviYjNhs9rObVpsNs9VGTYOZqoZmKuubqahrpqiqgfyKegoq6smvqKei7vDDNZMjAhjcNZzhqRGM7xHtmAXSaLbw0OytfLDGvjji4kGJPH5R3zY/Gy7yS3oNd23697GrrG9m0KPzsVhtLPnz6e1S7eBqXl2SzWNf2beyTT+rO787M6ND7rfRbOGmN9ewZHcJwX4mPrtjtJajtJGlWSVc89pKbDZ4emp/LhrY5VfHNJmt9PvbNzQ0W5l/zzgyYoOdEOnxu/CFpWzMreCJS/tx+RDX3MieW1bHXe+td5y4vWFUCvedm9lmFZdvLN3LI19uY1LvOGZeO7hNblM8w/G+hrtVpZSIyC99ubGAP3y0kSazlV7xIbx07eBO8Wb958wWK6v2lfHt1iJ+2FnM/l8MBzUYIC0qkH5dwuiTGEpmXDCpUYHEhfi12xnnkppGdhVWs7Oomp2F1WzIrWBnUTU5ZXXklNXx2fp8ADLjghnfI5qzesYy4+K+9IwP5tGvtvPpunzyy+t55fohhHTwJhsREVezNKsEi9VGt+jATvEa9+XGAkdC6p4JHZeQAnvF1EvXDuaaV1eyLqeCG99czWd3jCYi0KfDYvBExVUN3P3+emw2mDok6bAJKQAfk5FByeEsazmx5spJqYq6JsfGxnEZrlvBmBRhn5v25Dc7eWlxNm8s28f6nHJmXjv4lBYFtNrfMuS8qzbvyUlSUkpE3JLNZuP5BVk8NX8XABN6xvKfKwYQ6Ns5fq2ZLVaWZJXw5cYCFuwoPqQyyctooF+XUEZ1i2RkWhQDksMI6uDvS1SQL1Hpvoz62TyO6oZm1udUsGZfGT9mlbA+t4IdhdXsKKzmpUXZJIT6cV7/BP40sQfPL8hi5d4ypr60gjenDSUmxO8o9yYi4tl+at3z/Jl7a/eX84ePNgLwm9Gp3D2h4xJSrQJ8TLx83RCmvLCU/aV13Pb2Wt6+aVinmuXVlqxWG/d8uIGSmiYy44L524VHH5MyPDXSkZRy5blSP2aVYLNB99gg4kJd+32Kt5eR+87tyfC0CKZ/uJGNeZWc/9yPvHj1YIalnlqLak7LydDOkDCX9tE5Pr2JiEexWG08MHsL763KAeDmsance05Pl+rlby/bD1Txydo8Zm8ooKTmpy2h4QHeTOgZy1m9YhmVHtXhSajjEeznzbju0YzrHs30s3tQXtvE4t0H+WFHMd9tL6agsoGXF2cfcp3tB6q4+L/LePvG4aRGaaOLiHQ+NpuNJbvtm8jGO3m7V3srq23ijnfX0mS2MqFnLH+d3NNpsUQF+fL6DUO5+MVlrNpXxl8/28K/Lu2nmTkn4c3l+1iaVYq/txcvXD3omK35rUmSVXtde67Ukl32n0tXrpL6pTMyY/nyzjHc/NYadhRWc9UrK3j4/F5cM6LrSX+f97ZsT9b7NDlZrvepRUTkKJotVu75YANzNh3AaIC/X9jHpc+itYVGs4W5mw/wxrL9bGyZBwAQEejDBf0TOKdPHIO7hmPyMh75RlxQeKAPFw5I5MIBiTQ0W1i48yBfbizgu+1FNJp/Wl2cV17P6U8u5Lvp4zXXQ0Q6neySWg5UNuBjMp5yRYMrs9ls/PnjjRRVNZIWHch/rhjg9JNN3WODef6qgfzmjdV8vDaPQcnhXDU82akxuZus4hrHsPr7J/ekW/SxX8cHJofh7WWgqKqRnLI6uka6XrLDZrOxeLd9yPlYN0sWJ0UE8Okdo/jLJ5v5cmMBD36+lU15lTw6pc8Jz/I0W6zktrTvpSgpJSdJSSkRcRsNzRbueHcdC3YU4+1l4JmpA5ncL97ZYbWbg9WNvL1iP7NW5jiqory9DJyZGcslg7swvns0Pib3SkQdiZ+3F5P6xDGpTxxVDc18vj6fd1bksLOo2nHMhH8v4p+X9GXqUH0gEJHOY2mWvRpjSNdwj17+8P7qXL7bXoyPl5HnrhzoMu34p/WI4U8TM/nnvB088uVW+nUJpU9iqLPDcgtmi5U/fLSRRrOVsRlRXHOcCT0/by/6dwljzf5yVu4tc8mk1J6DNY5k8XA3TBYH+Jh49ooB9E0M4R9f7+CjtXnsLanl5euGnND8tIKKBpotNnxNRuI1akFOkmd8mhERj1ffZGHa/1azYEcxft5GXrluiMcmpAorG/jbl1sZ+8QCnv1+NyU1jcSG+PLHs7uz/L4zmXntYM7qFesxCalfCvHz5tqRKcz7/Vg+vm0kY342l+ovn2xm8KPzWb6n1IkRioh0nB9bWvdG/+x3oac5WN3IjLn2weZ/ntSD3gmulfS5dVwaZ2bG0GS2cse766hqOPyGWTnUzEV72JhbQYifiSdOsPXxpxa+svYK75QsbmndG54a4bbJYoPBwC3juvHmb4YR7Gdizf5yLnpxKXsO1hz3bbS27nWNDGi35Tni+TzzE42IeJSGZgu3vL2G5dmlBPmaeOs3wz1y2GtBRT0PzN7MuCd+4H9L99HQbKV/UhjPXzWQH/9yBneekUFUkK+zw+wwBoOBISkRvHPTcD67Y5Tj8tLaJq58ZQU3/G8V2w9UOTFCEZH2ZbHaWJ5tT8KP8eCk1ONzt1PVYKZ3Qgg3jEpxdji/YjQaeOry/iSG+ZNTVsefPtqIzWZzdlgubc/BGp79PguAv13Y+4S3vLUmpVbudc2TUI7WvQz3/7kcmxHNp7ePoku4P/tL67j4xWXHffJvb0sCK8UFq9nEfSgpJSIurfWs5JLdJQT4ePHGtKEeN1OjqqGZJ+bt4PQnF/LOihyaLFaGpUTw9o3DmH3HKM7rl4C3m82LamsDk8NZ9+BZhAV4Oy5buPMg5z67hD98uJGD1Y1HubaIiHvanF9JdYOZED+Tx7aMbcqr4LP1+RgM8PhFfV12PmJYgA8vXj0IHy8j32wt4p2VOc4OyWXZbDbu/3QzTRYrp/WIZsqAxBO+jcFdwzEaILesnoKK+naI8uQ1mi2saEkWj3OzeVJHkhEbzOzfjmZgchiV9c1c9/pKPlmbd8zr7WvZvKch53IqXPO3vogI9lkEv3tvPQt2FONrMvLa9UMZkuI5Calmi5U3l+3jtH8t5MWFe2g0WxmWGsH7t4zgw9tGMjYj2mU3zjhDRKAP3/x+HIlhP51ttdngk3V5nPnUQt5esR+LVWeuRcRztM6TGtkt0ulDv9vLv77ZCcBFAxLpnxTm3GCOoX9SGH85JxOAx7/aTvYJtDl1Jh+tyWPl3jL8vb149MI+J/VeJtjP25GIXb3PtVr41uwrp6HZSkywLz1ig50dTpuJCvLlvZtHMLlfPM0WG3/4aCP/XbjnqFWBe0vs7Xsaci6nQkkpEXFJNpuNR77cyrythfh42WdIjewW6eyw2szqfWVMfnYJD3+xlbLaJtKiA3nluiF8cMsIRqR5zuNsa7Ehfrx14zDCWyqmQv29yYwLpqrBzIOzt3Dxf5exrUAtfSLiGVrnSXlq696K7FKW7C7B28vAPWd1d3Y4x2XaqBRGp0dS32zhng820GyxHvtKnUhJTSP/1zIf7J6zMkiKCDjp2xqW0trC51pJqZ9a9zzv5KGftxfPXTGQW8enAfDPeTt4fO52rEc46bevZaaU2vfkVCgpJSIu6cWFe3hnRQ4GAzx75QCPKY8ur23iLx9v4rKZy9lVVENEoA+PTunDN78fx1m9Yj3uzU176BYdxOs3DMXf24vK+maGpUbwyPm9CPY1sTG3ggtf+JEXF2apakpE3Fp9k4W1+8sBzx1y/tKiPQBcNiTplJIXHcloNPDkZf0J8TOxMa+SF37IcnZILmXG3B1U1jfTKz6E34xOPaXbctVh561Dzsd198yfS6PRwH3n9OSv5/YE4JUle/nTx5sw/yIB22yxkldub61U+56cCiWlRMTlfLouz1HO//B5vZjUxzO27H25sYAz/72ID9bkAnDF0CS+nz6ea0d07fQzo07UwORwnp7aH4C3lu/H38eL7/8wnrN6xdJssfHEvJ1MfWk5OS2zDkRE3M3qfWU0WawkhPp55Ae+rOIafth5EIMBbh6b5uxwTkh8qD+PTukDwHMLstiQW+HcgFzEhtwKPllnn0P0fxf1OeX5YENbKqWyimsorXGN2ZHF1Q2OJSueWsHY6uZxaTx5WX+8jAY+WZfHbe+spaHZ4vh6blkdFqsNf28vYkM6zyIeaXv6FCQiLmX1vjL+/PEmAG4Zl8YNp3iWzRVU1DVx13vrueu99ZTVNtEjNpiPbxvJPy7pR3igj7PDc1uT+sTz+wkZADwwews5ZXW8fO1gnri0H0G+9tXG5/xnMXM3H3BypCIiJ651ntTo9CiPrKL939K9AEzoGeuWSbcLByRyfv8ELFYb0z/ccMiH9c7IarXxyBdbAbhkUBcGJoef8m2GB/qQHhMEwLqcilO+vbbQ2lLbJzGEyE6wEfnSwV146ZrB+JqMfLe9mBv+t4q6JjPwU+te18gAj/wdJR1HSSkRcRkFFfXc/s5azFYbk/vGc++kTGeHdMp+2FnM2U8v5suNBXgZDfzuzAzm/G6MRw1sd6bfnZHBOX3iaLbYuO2ddZTUNHH5kCS+vnssw1IiqG2ycMe763hszjbN/RARt/JjS1JqjAesnP+l+iYLn28oAGDa6BTnBnMKHruwD9HBvmQfrOX5BZ27je/zjflsyK0g0MeLv0zq0Wa3O7glubUup7zNbvNULGlJSo3L8IyxEsdjQq9Y3r5xOEG+JlZkl3HD66upaTSzt0Sb96RtKCklIi6hodnCrW+vpaSmiZ7xIfzrsn4Y3XjTULPFymNztjHtf6sprm6kW3Qgn94+iulndVerXhtqne3RPTaIkppGpn+4AavVRlJEALNuHu4Y1Pnqj3u5+pWVlLhI+b+IyNFU1DWxraVFyJOWfLT6ZmshNY1mkiL8GZHqvo8vNMCbRy/sDcDMRXscbV2dTW2jmX98vQOA356RTkyIX5vd9qCuYQCO+WrOZLXaWPKzIeedybDUCN6+cRjBviZW7SvjhtdXsTW/EtDmPTl1+mQkIk5ns9m4/7PNbM6vJDzAm5evHUyAj8nZYZ20gop6pr60nFd/tLcmTBudwle/G+vyq67dVaCvieevGoSft5Elu0uYudg+ONfkZeS+c3oy85rBjjdRF724lKxirfAWEde2am8ZNht0iw4kJrjtPuC7ita5Q5cM6uLWJ6DA3ko+qXccZquNv3zy62HQncHMRXsoqmokOSLglIeb/9LgrvZKqU15FU6veN5eWEVJTRMBPl6OuDqTgcnhvHPTcEL87CMSPl2fD0CqNu/JKVJSSkSc7v3VuXy6Lh8vo4HnrxrkNht4DmfhzmImP7uEdTkVBPuZeOnawTx8fm/8vL2cHZpH6x4bzN8usJ+tfurbXazd/9Omnkl94ph952i6RgaQW1bPxS8uZfmeUmeFKiJyTCuy7b/DRqS5bxXRkRRXNzhaEy8Z1MXJ0bSNv1/Ym2A/E5vyKvnf0n3ODqdDHais5+XF2QD8dXLPNn+/kxYVRKi/Nw3NVqdXorVu3RuZFomPqXN+jO6fFMa7N40g1N/bcVlUsOajyqnpnD9NIuIydhVVOwZj/mliD7dde22z2Xh58R6mvbGa8rpm+iaG8tVdY5nYO87ZoXUalw9J4sIBrUNnN1Lf9NPQ2W7RQXx6+ygGdw2nqsHMda+vZM6mAidGKyJyZCv32hPnwz0wKfX99mJsNvuHW3c+CfVzMSF+/PXcngA8NX8n+1sGQHcGz8zfTaPZyrDUCM7uFdvmt280GhiYHAY4v4WvtXVvXPfO1br3S327hPLGtKGOvz82Z/sh77lETpSSUiLiNA3NFu6ctY5Gs5Vx3aO5xc1WQrdqNFv408ebeHzuDmw2uHJYEh/fPpLkSM94s+0uDAYDj07pQ3yoH/tL63jimx2HfD0yyJd3bxrO5H7xNFts/O699XyyNs9J0YqIHF5lXbNjntSIVM9bivHt1kKAdklgONPUoUmMTIukodnKXz/bgs1mc3ZI7S6ruIaP1uYC8JdJme22ge2nYecV7XL7x6Ouycyaffak2FgPXD5wooL9fhqzkV1Sy63vrKXRrMSUnBwlpUTEaR6ds41dRTVEBfny1GX93XKuRGlNI9e8upKP1+ZhNMDD5/fi8Yv64mtSu54zhPh5849L+gHwxrJ9rNpbdsjX/by9ePaKgVwxNAmrDf7w0UbeXbnfGaGKiBzW6n32eVJpUYFtOjDaFdQ0mlna0j7taUkpg8HAjIv74mMy8mNWCXM3Fzo7pHb31Lc7sdrgrF6x7TpjaVDLba9zYqXUyuwymixWuoT7a9scODbvAfh7e7F410Hufm9Dp5ypJqdOSSkRcYoFO4p4d2UOAE9P7U90sK+TIzpxuWV1XPLfZazeV06wn4n/TRvGtNGp7XamUI7P+O7RTB2ShM0Gf/p4Iw3Nh5658zIaePyivtwwKgWAv362hXdWKDElIq5hRXZr657nVUmt2FNKk9lK18gA0mOCnB1Om0uJCuT28d0A+4m3mkazkyNqPxtzK/h6SyFGg338QnvqnxSG0QD5FfUUVja0630dyaJdP23d0/s82Fdib1Gd3C+el68bjI+XkXlbC/nzJ5uwWj2/SlDalpJSItLhKuubue/TzQDcOCbVLdfq7iis4pL/LmNfaR2JYf58dscoxnfyGQOu5K/n9XS08f134Z5ffd1oNPDw+b24dZy9ZfTBz7fw+Yb8jg5TRORXVu713CHny1qqpEanR3nsB/vbT+tGckQAhVUNPPv9bmeH025aW+QvHtSF7rHB7XpfQb4mMuNCAFiX45xqKcc8KbXuAbC3ZW5aamQgYzOief6qgXgZDXy6Lp9Hv9rm5OjE3SgpJSId7rE52yiqaiQ1KpA/nt2+Z9faw+p9ZVw+cznF1Y30iA3m0ztGkR7Tvm/I5MSE+HnzwOReAPx30R5ySut+dYzBYODeczK5dkRXbDb4w4cb+WFHcUeHKiLiUNXQzNaCSgCGp3peUmp5SxXYSA9MuLXy8/bikQvsrz+v/7iXXUXVTo6o7S3NKmFpVik+XkZ+PyGjQ+5zUNcwwDktfPkV9ew5WIvRAKPcdCFPW2utlOraMj/17N5xPHVZfwD+t3Qfry7Jdlps4n6UlBKRDvXDjmI+WpuHwQD/urQf/j7uNXtp0a6DXPPqSqoazAxNCefDW0cS62EzPzzFuX3jGJ0eSZPZyt/nbD3sMQaDgb9d0JsLByRgttq47Z21TjsLKyKyZl8ZVhukRAYQF+pZry3ltU1sbx3g7sFJKYAzMmM5q1csZquNB2d71tBzm83G0/N3AXDV8GS6hHfMUpfWmVVrnfAavaSldW9AUhih/t4dfv+uqDUp9fP5WlMGJnL/uZkAPPbVdm05luOmpJSIdJjaRjN//czetveb0akMSXGveRmLdh3k5rfW0Gi2cmZmDG/fOJzQAL05cVWtCSeT0cB324uPWAVlNBp48rL+nJEZQ6PZyi1vrSW/or6DoxURgRXZ9tY9T6ySWr3P/tgyYoLcco7kiXrovF74eRtZubeMLzZ6zofz5XtKWbO/HB+TkdtP69Zh9zuoZQPf1vyqX82KbG+LW1v3NKYBgPomCweq7LO9fjn0/eaxaY6ZndM/2MjKlupIkaNRUkpEOsxzC7IoqGygS7i/27XttSakmsxWzu4Vy3+vGYyft3tVeXVG6THBTBudAsA/vt6B5QjDN729jDx35UB6xodQUtPITW+uodaDB9SKiGtq/QA3opt7nbQ5Hpvy7G2JrckFT5cUEcCdp6cD9qoRTxl6/kzLnKyrhiV3aKV4ckQAUUE+NFmsjhbXjmCx2liaZf+5dMcZqO1hb0ktNhuE+nsTEehzyNcMBgMPnteLib1jabJYufmtNez2wBZWaVtKSolIh8gqrnb0lz9yfm+3atv7ZULq+asG4WPSr093cefpGYT4mdhZVM0XG488zDzQ18Sr1w8hKsiX7Qeq+P0HGzyq5UJEXFtNo5ktBfb2Nk+slNqUb08k9O0S6uRIOs7N49JIjQrkYHUjL/yQ5exwTtnyPaWs2luGj5eRW8endeh9GwwGBiSFAbAxt+OSUpvzK6msbybYz0T/TvTcPZrskhoA0qIDD7uwwMto4D9XDGRQchhVDWamvbGa0prGjg5T3Ig+VYlIu7PZbDw4eytmq40JPWOY0CvW2SEdt1V7y7hFCSm3FhrgzW0tLQZPfbuLJrP1iMcmhvnbVxubjMzfVsSrS/Z2VJgi0smt21+OxWqjS7g/CWH+zg6nTdlsNjbnVQDQrxN9sPc1efHXc3sC8NqSveSW/Xrphjtp3SY4dWgS8aEd/xzt3yUMgI0tz6WOsDSrBLAP5zd56f0fwJ5i+zypbtFBRzzGz9uL164fStfIAPLK67n9nXVHff8lnZt+skSk3X256QDLs0vxNRl5+Pzezg7nuG0rqOLGN1fTaLZyRmaMElJubNqoVGKCfckrr+e9VTlHPXZQcjgPn2/fnPTPeTtY64RNPyLS+axp+V0z1M3mLR6PvPJ6yuua8fYy0COuc22rPbNnDGPSo2iyWHl87nZnh3PSVu0tY3l2Kd5ehg6dJfVz/VoqpVpbQTvCkpZ5UmMztHWv1c8rpY4mPNCH164fQrCviVX7ynj4C88a+i9tR5+uRKRdNZot/PPrHQDccVo6SREds6XlVO0vreX6/62iumXL3gtKSLk1fx8v7jrTvrZ65qI9xzxbd9WwZM7vb9/Id9esdZTXNnVEmCLSia3dbx8E3rplzJNsbWlL7B4bjK/Jfdr320LrjB2jAb7eUsgKNx38/NwCe5XUZUOSnFbJ19o+t7ekloq69n9drmsys25/BQCj05WUapV90F4plRZ15EqpVukxwTx75UAMBnhvVS5vLtvXztGJO9InLBFpV28v309+RT2xIb7cMq5j5w+crIPVjVz72ioOVjeSGRfMq9cPdasZWHJ4lw/pQkywLwcqG5i94cizpcD+IeLxi/qQGhVIQWUDD3y+pYOiFJHOyGyxsj6nAoAhKZ6XlMoqtg867h7buaqkWvWIC+aq4ckA/P3LbUdcuuGqtuRXsmR3CV5GA7ePd06VFEBYgA9dI+0nNzuiWmrV3jKaLFYSw/x/tWWus7LZbGQftFdKpccc3/fk9MwY7jsnE4BHv9rOj7tL2i0+cU9KSolIu6msa+a5BfbBnn84q4dbJHYami3c/NYacsrqSI4I4K3fDCPU39vZYUkb8DV5ceOYVMBeLXWsDwXBft48e8VAvIwGvtp0gDmbPGelt4i4lu0HqqlrshDsZ6J7jOclbva0VFakxxy7ssJTTT+rB8F+JrYdqOKjNbnODueEvLzYvqjmvH7xTq94b50rtakD5kq1Jk/GpEcddqB3Z1RU1UhtkwUvo4HkiONP1N08No1LBnXBYrXx21nr3H6+mrQtJaVEpN28uDCLyvpmuscGccngLs4O55isVht//GgjG3IrCPX35s3fDCOmA9cdS/u7angyIX4msg/W8u3WwmMe37dLKL9tmZ3x4OwtHKzW9hgRaXtrfta6ZzR63offrGJ7ZcXRBiN7uohAH+5uaSN/8tudVDc0Ozmi45NbVsdXmw8AuETFe/+WuVIbOmAD348tQ85Ha56UQ2uVVHJEwAmNtTAYDDx+cR8GJIVRWd/M7e+upaHZ0l5hiptRUkpE2kVhZQP/a+kbv++cnni5wZvsZ77fzZxNB/D2MjDzmsEq1fZAwX7eXDuyK4Dj+Xksd56RQWZcMOV1zTz8hdr4RKTttQ45H+KB86SsVht7HO0+nTcpBXDdyBTSogIpqWni+R+ynB3OcXntx71YrDbGZkTRO8H5mxNb50ptzKto16HZB6sb2VFobzsd3S2y3e7H3bT+LKedxHtkX5MXL149iPAAb7bkV/G3L7e2dXjippSUEpF20TpMelhKBKf1iHZ2OMf0+YZ8x6rj/7uoLyP1BsRjXTOiK15GA6v2lrGz5Q3n0fiYjDx1eX+8jAbmbi5k8a6DHRCliHQWNpuNtfvsSanBXT1v815xdSN1TRZMRoNjHlBn5WMy8sB5PQH434/7yCl17Ramstom3l9t31h7mxNnSf1c74RQvIwGDlY3UljV0G73s7SlSqp3QgiRQb7tdj/uprUV91ib944kIcz/kMHn7tbKKu1DSSkRaXPFVQ3MWmV/E3P3hAyX78PfWlDJnz/eBMCt49O4fEiSkyOS9hQf6s+EnjEAvLty/3Fdp3dCKNe1VFg98uXWY27vExFplVdeR3FVwxGrOvIr6imsasBkNDCgpTXJk+SV2xMvcaF+eHvpo8fpPWIYmxFFk8XKk9/udHY4R/XW8n00NFvpkxjCKBc5Wefv40WPloH5G3Mr2u1+Wlv3xmjr3iGyS+xJqVNpxR2bEc30Cd0BeGD2Fra1bOeUzkuvDCLS5mYuyqbJbGVw13CXeRNzJJV1zdz2zloazVZO7xHNXyZmOjsk6QDXjkgB4NN1+dQ2mo/rOvec1Z2oIF+yD9by+tK97RidiHiSf3+7i2GPf8/gx77jqldW8Pcvt/H5hnwKK+1VHmtbWvd6J4S4xUKQE5VfUQ9AYpi/kyNxDQaDgXvPycRggC82FnTIwO6T0dBs4a3l9hM3t47r5lInGPsntbbwtc9cKZvN9tOQc82TOsSelvlwaac4H+63p6dzeo9oGs1Wbn93rdvMWJP2oaSUiLSp4uoGR/XJ3We6dpWU1Wrjng83kFtWT5dwf56eOsAjB8zKr43qFklaVCA1jebj3qoX4uftWGn87Pe7NfRcRI5LTaMZo8HeCrVsTymvL93L3e9vYMSM7xn3xA/c/f4GAHrEed7WPYC88pakVLiSUq16J4Ry0cBEAB6fu71dZyOdrNnr8ymrbSIxzJ9z+sQ5O5xDtG7ga69KqT0HayisasDHZGRoiue11J6shmYLBZX2n+eTbd9rZTQaeHrqABLD/NlfWsdDn2u+VGempJSItKn/Ld1Ho9nKgKQwxrr42aXnf8hiwY5ifExGZl4zmLAAH2eHJB3EaDQ4NkLOXn98SSmAiwYm0r9LKHVNFl5wkyG1IuJcL183hG1/n8SXd47hiUv7ccOoFPomhmI0QM7P1qJ/uCaPa15dyf+W7qW4HWfldLTWSqkuqpQ6xB/O7oGPyciK7DIW7nStWYU2m403WpaBXD+qKyYXa7vs15KU2pxXidXa9gm91iqpoSnh+Hl7XvXiydpbUovNBqH+3kQGnvp75rAAH569cgBGA3y2Pp/P1ue1QZTijlzrN4xIO7BYbVQ1NHOwupG88jr2HKxh+4EqdhVVs+dgDTmldeRX1FNa04jZojkxp6K20cy7K+xVUnec5lql3r+0NKuEp7/bBcBjU/rQJ9H5G2WkY104IAGAFXtLHW00x2I0GvhTS4vnrJU5jlkpIiJH4+ftRd8uoVw+JIlHLujNl3eNYePDZ/P8VQMPOe7HrBL+9uU2Rsz4nmteXcmHa3KpcvO2lnxVSh1WYpg/00anADDj6+1Y2iG5crKWZ5eyo7Aaf28vpg5JdnY4v9I9Ngg/byPVjWayS2ra/PZ/mifl+ot6OpJj8150YJu9xx/cNYK7z2yZL/XZFvaX1rbJ7Yp7MTk7AJFT0WyxkltWR05ZneO/eeX1lNY0UVrbSFltExX1zZxIVXSQr4lQf29C/b2JDfElIcyfhDB/EsP86RLuT3pMkCpqjuDjtXlUNZhJiQzgzJ6xzg7niMpqm7jngw3YbDB1SJIGm3dSXcIDGJoSzup95XyxMZ9bxh3fZqExGVGM6hbJsj2lPPPdbp68rH87RyoinijYz5sQP28AkiMCeGPaUL7fXszXWw6wLqeCH7NK+DGrhAdmb2FS7ziuHp7MsNQIlz7hczjFLa3OsSF+To7E9dwxPp33V+Wyq6iGT9bmcflQ13g/8sbSfQBcPCiR0ABv5wZzGCYvI30SQlmzv5zN+ZWkx7Rd62uzxcqK7DJAQ85/Kbt1817Uqc2T+qU7z0hnaVYJq/aV8bv3N/DxbSO1FKGTUVJK3EZDs4WNuRVsKahi+wH7n91FNTSdQHWTr8mIn7cX3l5GbDYbzRYrFquNZqvNsU2rptFMTaOZ/Ip6th04/O1EB/uSERNERkwQvRJCGJAUTnpMEF6deB6RxWpzDH/+zZhUl/1e2Gw2/vzxJoqrG+kWHcjDF/RydkjiRBcOSGT1vnI+31Bw3EkpgD9N7MFFLy7j03V53H1mBkkRnXvNuYicnPU5FQAMSg4jLTqItOggbh6XRk5pHV9szGf2hgKyimv4YmMBX2wsID0miKuHJ3PxwC4umSw4nNIae1IqKsjXyZG4ntAAb+46I53HvtrOU/N3cn7/BKcPu88tq2P+9iIAbhiV4tRYjqZPoj0ptSW/iosGHvv447Uxt4KaRjPhAd70Tghpuxv2ANktlVLdYk5tntQveRkNPH3FAM55ZjEbcyv49/xd/GWSFg91JkpKicuqbTSzcm8pK/eWsWZfOZvyKmi2/Lrkyd/bi+SIAJIiAkiOCKBLuD/Rwb5EBvoQGeRLRKAPwX4mfE3Go55dNFusVDWYqaxvprK+mfK6JooqGyioqCe/wv7fnDJ7q9/B6kYOVjeybE+p4/qBPvbS/IHJ4YxIi2RoSjgBPp3nR+y77UXsL60j1N+bS1tm9biid1bm8N32Iny8jPznioGd6t9Ifu3cvvE89PkWthZUkV9Rf9zboQYmhzM2I4olu0t4dUk2f7uwTztHKiKeaEOuffPegKSwQy5PjgzgzjMy+O3p6WzJr2LWqhw+35BPVnENf/tyG/+ct4OLBnbhprGpp7Savb3ZbDbKapsAiAxSlfnhXDuyK28s20deeT2vL93Lb09Pd2o8by7bh80GYzOiyIh13eH7rQmjLfltu4FvScs8qVHpUVp+8wt72qlSCuztrP+8pB+3v7uOmYv2ML57NCPSXHuDt7QdfRoTl7K3pJYfdhTzw85iVmaX/aoKKibYl/5JYfSKD6FnfAi94kPoEu7fJi8aJi8jEYE+RBxjcF9No5k9xTXsLq5hV1E1m/Iq2JRXSW2ThRXZZazILuO/C/fg7WVgYHI4Y9KjGJMRxYAuYR794va/liqpq4cnu2yiZ1dRNY/N2QbAnyf10BwpISLQh0HJ4azZX87324u4bmTKcV/3tvHdWLK7hA/W5HL3hO7H/N0hIvJzNpuNDS3bwwYkhx/2GIPBQN8uoczo0pf7z81k9oYC3l2xnx2F1by3Kof3VuUwoWcMN41NY7gLtvZV1Zsxt8xK0u/Iw/M1efGniT24+/0N/HfhHq4YmkSkk6rKahvNfLAmF8Ax78pVtb6H21ZQhdVqa7P32Esd86TUuvdzNpvtp0qpU9y8dyTn9I3niqFJvL86lz99vJGv7x5HkK9rfqaQtqVmTXG6/aW1PL9gN2c/vYjTn1zI3+dsY8nuEposVpIjApg6JIknL+vP4j+dzsr7z+SV64Zwz1ndmdQnjuTIgA5P9AT5muifFMalg7tw/7k9ef+WkWx+ZCLzfj+Wf1zcl8sGdyExzJ9mi41Ve8v49/xdXPziMoY9/j33fbqJH3YU09Bs6dCY29uegzWsyC7DaIBrRnR1djiH1WyxMv3DDTSarYzrHs1vRqc6OyRxERN62eeffbe9+ISuN6pbJH0TQ2lotvJmy5YiEWd54YUXSElJwc/Pj+HDh7Nq1aqjHv/RRx+RmZmJn58fffv2Ze7cuYd83Waz8dBDDxEfH4+/vz8TJkxg9+7dhxxTVlbG1VdfTUhICGFhYdx4443U1Pw0dHjhwoVceOGFxMfHExgYyIABA3j33Xfb7kG7uZyyOsrrmvHxMtIz/tgVKcF+3lw7oitf3z2WD28dyVm9YjEY7L+7rnh5BRe+sJS5mw+0yzayk1VSa2/ds1esa4vZkZzfL4E+iSHUNJp5boHzNrvO3pBPdYOZrpEBnNY9xmlxHI/0mCB8TPZh5z/fYvlzNpsNi9WG7TiHy1Y3NLO+JVGspNShiqsbqW2y4GU0kBzZfiMLHjivF4lh/uSW1fP43O3tdj/iWpR6FKeoamjms3X5fLouj415P5XdensZGJYawek9Yjg9M4a0qLbb7tCevIwGMuNCyIwL4YphydhsNvaX1vFjVgnL9pSwZHcJJTWNvLcql/dW5RLo48UZPWO5eGAiYzKi3H6Y33srcwA4vUcMCS668vmlRXvYkl9FqL83T17az6Or1uTETOgZwz++3sGKPaXUNJqP+6ycwWDglnFp3PXeematyuHOM9Ld/mdZ3NMHH3zA9OnTmTlzJsOHD+eZZ55h4sSJ7Ny5k5iYX3+wXLZsGVdeeSUzZszgvPPOY9asWUyZMoV169bRp4+9FfWJJ57g2Wef5c033yQ1NZUHH3yQiRMnsm3bNvz87AOrr776ag4cOMD8+fNpbm5m2rRp3HLLLcyaNctxP/369eMvf/kLsbGxzJkzh+uuu47Q0FDOO++8jvsGuajWKqleCSEnlLAxGOzvlYalRpB9sIbXftzLx2vz2JRXyR3vrqN7bBB3nZHBuX3jnT7fsbSmpXVPVVJHZTQauP+cnlz16kreWbGfG0alkBLVPtUoR2Kz2ZjV8n7u2hFdXfZ9ks1mI6+8nqziGsc82NOeXMiApDAq6poor2umptF8yDZDk9FAgI8Xgb4mgnxNRAX5EhfqR2yIH7EhvqREBpIWHcj2A9VYrDZSIgM0K/IX9hTbTzgkhfu3a4I5yNfEvy7rx1WvrGTWyhwm9Y5jXHdtQfR0Btvxpo7liKqqqggNDaWyspKQEA3EO5pNeRW8uyKHLzYWUN9SLWQ0wOj0KM7vl8DEPnGE+rvH4M4T0WS2snJvKd9uLeLbbYUUVTU6vhYZ6MP5/RO4eFAifRND3SIJ93MNzRZGzvie8rpmXrt+iEtu3dtZWM15zy2h2WLjmakDmDIw0dkhiQux2WyM/9dCcsrqeOW6IZzV6/ifw80WKyNnLKCkppH/Xj2Ic/rGt2Ok0h484TV8+PDhDB06lOeffx4Aq9VKUlISd911F/fee++vjp86dSq1tbXMmTPHcdmIESMYMGAAM2fOxGazkZCQwB/+8Af++Mc/AlBZWUlsbCxvvPEGV1xxBdu3b6dXr16sXr2aIUOGADBv3jzOPfdc8vLySEhIOGyskydPJjY2ltdff/2wX29sbKSx8afXyKqqKpKSktz63+dIHvliK28s28cNo1J45ILep3RbpTWNvLlsH/9bto/qBjNgryS564x0zuuX4LTk1DdbC7n17bUMSApj9m9HOyUGd3L966tYtOsgFw5I4D9XtOH07uOwIbeCKS8sxcdkZOV9ZxLuIonERrOFtfvLWZFd5hiZ0TqnrD39ZVIm/bqE0ich1G2WCrSnt1fs58HZWzgjM4bXbxja7vf38OdbeHP5fuJD/Zj3+3Ee+fmwMzje91iqlJJ2Z7Xa+HZbITMXZTvOCgJkxARx5bBkzu+fQHSwZ29k8TEZGZsRzdiMaP52QW825lXw+YYCvtxYQGltE28s28cby/bRIzaYa0Z25aKBiW7TQ/3N1kLK65qJD/VjvAueyTBbrPzxo400W2xM6BnLhQMO/0FJOi+DwcDo9EhyVtWxMrv0hJJS3l5GLh/ShRcX7mHWqhwlpaTDNTU1sXbtWu677z7HZUajkQkTJrB8+fLDXmf58uVMnz79kMsmTpzI7NmzAdi7dy+FhYVMmDDB8fXQ0FCGDx/O8uXLueKKK1i+fDlhYWGOhBTAhAkTMBqNrFy5kosuuuiw911ZWUnPnj2P+HhmzJjB3/72t2M+bk/Q+p5oYHLYKd9WZJAv08/uwY1j03hz2T5e+3EvWcU13P3+Bv7z3W7uOas7k/vGd3j1S22jPUEW7Oce72mc7U8Te7Bo10G+2FjAbeO70TO+4xKxs1buB+DcPnFOT0gdrG5k3pYDLNhRzIrsMseJ7FYmo4H0mCB2FFY7Lnv52sGEB/oQ5u9NkJ8JL6MBL4MBo8FAo9lKbZOZ2kYzNQ1miqsbKaxqoKiqgQMVDewrrSW7pNZReQXwz3k7HP+fHBFAvy6hDE+NYFhqJBkxQS5bSdZe2nue1C/95ZxMFu06yL7SOh6ds40nL+vfIfcrzqFXCGk3jWYLs9fn89KibLJL7NsafLyMnNs3jqtHdGVI13C3qwpqC0ajfQD6wORw/jq5J0t2H+Sz9QV8u7WQnUXVPDh7C/+Yu52LBiVyzYiuZMa59pnh91bZS72nDk3C5IKtSy8tzmZzfiUhfiYev6hPp3zOybGNSIvkvVW5rNhbeuyDf+HKYcn8d9EeluwuIae0rl1nLYj8UklJCRaLhdjYQ5OpsbGx7Nix47DXKSwsPOzxhYWFjq+3Xna0Y37ZGmgymYiIiHAc80sffvghq1ev5qWXXjri47nvvvsOSZi1Vkp5mkazhW0FVcCvN++dilB/b353ZgbTRqfw1vL9vLLE/h7srvfW89LiPfx5YiZjM6I67LWwpiUp5S4n2pytT2Iok/vF89WmAzz17U5evb79K1LAPlbjy40HALjaSbNBaxrNfLnRfsJ2RXYpPx+NFhXky5j0SAZ1DadflzAy44Lx8/ZiU14FFzy/lPAA75YZayf/vM6vqGf0PxYA9kUmuWV1bMqvILfMvn07p6yOOZvs36PwAG+GpthbaMd1jyYjJsjj3186Nu910LbPAB8TT17Wn8teWs7Ha/OY3Dee0zNde86ZnDy9QkibM1usfLo+n2fm76KgsgGAED8T141M4YbRKUQ5aaOIK/L2MnJGZixnZMZSWdfMJ+vyeGflfrIP1vLOihzeWZHD6PRIbhvfjTHpHfcm8njlltWxIrsMgwEuH+J6Hxr2ltTyn+/sg3kfuaA3MSF+To5IXFXr2uGtBVVU1jefUJl4UkQAY9KjWLK7hM/W53P3hIz2ClPEbf3www9MmzaNV155hd69j9yq5uvri6+v579P2H6gmiaLlYhAH5LbYXZNsJ83vz09netHpfD6j3t5eXE2W/KruO71VYzqFslfJmXSvw2TYUfSmpQKVFLquE0/qzvzthTy3fZi1u4vZ3DXw29mbEuz1+dT32whIyaIIR1wfz+3raCKd1bu5/P1+dQ2/VQR1T8pjHP6xDG+ezSZccGHfQ/cPTYYk9FAeV0zBZUNJJ7CXNNlLVv3+ieFce85mY7LK+qa2JxfyfqcClbuLWXt/nLK65r5dlsR324rgq+2kxDqx/geMZzWI5rR6VEemYRtnSnVrYOSUgBDUiK4cXQqr/64lwdmb+Hbe8bpd4mH0r+qtBmbzcY3W4t48tudZLX84ooN8eWmMWlcOTzZI39Bt6XQAG9+MyaVaaNTWL6nlHdW7uebrUUszSplaVYpvRNCuHV8N87tE+cyFUlfbCwAYGRapMsNOLfZbDz0+RaaLFbGZkRxkeZIyVHEhviRFhVIdkktq/eWOTbyHa8pAxJZsruELzcV8Lsz010ugSyeKyoqCi8vL4qKig65vKioiLi4uMNeJy4u7qjHt/63qKiI+Pj4Q44ZMGCA45ji4kM3VprNZsrKyn51v4sWLeL888/n6aef5rrrrjvxB+mBNuSUA9C/S/vOkgzyNfG7MzO4engyL/ywh3dW7GfZnlIufGEp5/SJ48+TMkltx4HataqUOmHdooO4dFAXPliTy7++2cF7N49o1+eIzWbj3RX2qverhid3yOuXzWZjaVYpz/+wmxXZZY7L06IDuWxwEuf1iz+uQeN+3l5kxAaz/UAVW/IrTykp9WNLUmrsL7buhQX4OEZwQAZNZitbCipZmV3G8uxSVmSXUlDZwHurcnhvVQ7eXgZGpEVyTp94JvaOJdIDTsbXNprJr6gH7ONXOtL0s7szb2sheeX1PPXtLh46v1eH3r90DNf4ZCtub1tBFZfNXM5t76wlq7iGsABv/npuTxb96XRuHpemNyMnwGAwMCo9ihevHsyiP53GtNEp+Ht7sbWgit+9t57Tn1rI+6tyaLZYj31j7chms/HZ+nwAlxwc/uWmAyzZXYKPycijF6ptT46t9Wz0pryKE77uWb1j8fEyklVcw86i6mNfQaSN+Pj4MHjwYL7//nvHZVarle+//56RI0ce9jojR4485HiA+fPnO45PTU0lLi7ukGOqqqpYuXKl45iRI0dSUVHB2rVrHccsWLAAq9XK8OHDHZctXLiQyZMn889//pNbbrnl1B+wh2idJzUgqWOqUiKDfHno/F4s+ON4LhnUBYMBvt5SyNlPL+KxOduorG9ul/utaVBS6mT8bkIGPl5GVmSXOZIl7WVdTjk7i6rx8zZy8cAu7XpfNpuN77cXMeXFZVzz2kpWZJdhMhqY3C+e924ewffTx3P7ad1OaPNd30T7mIut+ZXHOPLocS1t+T6P/kVS6pd8TEYGJYdz+2ndeOs3w9j40Nn874ahXD+yK10jA2i22Fiyu4T7P9vMsMe/5+pXV/DOiv2U1DQe9XZd2Z6WeVJRQT4dPm8swMfE/13UF4A3lu1l48/mE4vn0CuEnJLK+mb+/e1O3l6xH6sN/L29uGlsKjePSyPET1sSTlWX8AAePr83vzsjg7dX7OeNZfvILavn3k838+LCPfx+QgYXDkh0yladrQVVZBXX4GMyMqnP4c/GO0tVQzOPztkGwJ2np3f4WmVxT327hPLR2jw2n8Qb2xA/b8b3iGb+tiLmbDzg8rPgxLNMnz6d66+/niFDhjBs2DCeeeYZamtrmTZtGgDXXXcdiYmJzJgxA4C7776b8ePH89RTTzF58mTef/991qxZw8svvwzYT478/ve/57HHHiMjI4PU1FQefPBBEhISmDJlCgA9e/Zk0qRJ3HzzzcycOZPm5mbuvPNOrrjiCsfmvR9++IHzzjuPu+++m0suucQxa8rHx4eIiIgO/i65FkdSqg2GnJ+ILuEBPHV5f24Zl8aMr7ezcOdBXv1xL5+uz+ees7pzZRvPh6xptLdjqeXmxCSG+XPNiK68vnQv//pmZ7uOcHhvVS4A5/VLaNctcxtzK/i/udtZtddeGeVrMnLlsGRuGZd2StX2fRJD+XBNHltaZrSdjB2F1ZTUNOHv7cWgrmEndF1/Hy9Oz4xxzDvKPljDvK2FzN18gC35VY6Oh4e/2MrpPaK5bEgSZ2TG4O0iXQ/HI8sJrXs/N757NFMGJDB7QwH3frqZL+4c7VbfPzk2vULISbHZbMzZdIBHvthKacta1sl94/nr5J4u18blCcIDffjdmRncPDaNWaty+O/CLHLK6pj+4UZe+CGL30/o+K06s1uqpM7qGetyCcinvtnJwepG0qICuXV8mrPDETfRJzEUgM35ldhsthP+AHBev3jmbyti3tZC/jixR3uEKHJYU6dO5eDBgzz00EMUFhYyYMAA5s2b5xhUnpOTg9H40xv4UaNGMWvWLB544AHuv/9+MjIymD17Nn369HEc8+c//5na2lpuueUWKioqGDNmDPPmzcPP76fZfO+++y533nknZ555JkajkUsuuYRnn33W8fU333yTuro6ZsyY4UiIAYwfP56FCxe243fEtZXXNrGvtA6AAV3CnBJDj7hg3pg2jIU7i3nsq+1kFdfw4OwtvL18Hw+e16ulVenUNZjtSSl/b32APFF3nN6N91fnsCmvkm+2FjKpT9tvd61tNDN3s31499Sh7TMb9EBlPTPm7nCMfPA1GblhVAo3jU1rk+3bvRPsr91bTqFS6sfd9iqp4WkR+Jq8TimetOgg7jgtnTtOS2d/aS1fbynkq00H2JxfyXfbi/luezGRgT5MGZjI1KFJdI8NPqX76wi7W5JSGbHOSUoBPHheLxbuOsj2A1W8umQvt5/WzWmxSNsz2Gw227EPk6OpqqoiNDSUyspKQkI8/+x4aU0jD36+hbmb7Wc8u0UH8v/snWd4VNXahu89LZPeewWSEELvvSOgKKIiggVBsRcUj+2oR7/jsRw9dkVExa6gYhdRQHpCDT0kQCrpvZep348pEGrKJJkJ676uXDKZvfesxMnstZ71vM/7fzP7MCbmwnZXge2o0+j4LCGLD7akUVFnstz3C/PkmSvjGRrV/rvPBoORkS9voLCqkQ/nD+GyFubvtCeHcyu56t1tGI3w9aLhjLqIDVsgsNCg1dP72T/RG4wkPjmJYM+WCeyV9VoGPb8OvcHItscnEuYtuvA5ApfaPdzR6Ir/fzamFrHwk91093Pl739M6OzhoNUb+GZXNq+vO2adU0zpFcBTM+LbnDd15+d7+Cu5kBeu6cNNwzunq5sj8/pfqbz99wmiA9z486FxNnfGf783h398d4Bufq78/ch4m7qx9AYjXyRm8uqfqdYA82sHhfKPqT1tuoFdp9HR59k/MRhh1z8nt6qpza0rdrH5WDFPz+jForHts5l5vLCa7/fmsDopt0kp36geviwc3Y1JcQGdUvnQHO74fA/rkgv5v5m9uXVUVKeNw/J+dVLI+OvhcUT6ikoIe6e593CxbSFoEWsP5zP1jS2sOVSAQibx4OQY/lg8TghSHYyLSsE9E3qw9bGJPDwlFjcnBQdzKrl+WSL3frWXbPMObHux72QFhVWNuDspGBdrP//vjUYj//41GaMRZvYPEYKUoEWolXKizdb05FaUAXg6KxlkLsXZlFpsy6EJBIIuxMGTJkdHR3S/aw5KuYz5I6PY/I+JLBwdhUImsf5oEdPe2MLrf6XSoNVf/CLnwZJ/KUptWseicd3xclFyoqjGmuNpS77bYyrdmz04zKaC1NH8Kq59P4Hnfk2mVqNnUIQXvz0whtfnDLB5RYWLSkF38737SH7L792NOj07M0oB2nU9ExPozpNX9CLxyUl8NH8IU+MDkUmQkFbKHZ/vYeL/NvHR1nRrx0p7wlK+F93BIednct2gUEZH+9KoM1hjOgRdA3GHEDSLBq2ep386xN1fJlFaqyEuyJ2f7hvNkstiUSnE26izcFcrWTwlho3/mMCNwyOQSbDmUAFTXt/MS2uOUt3QPsGlfx0xueQmxgW02eZsS/44XMCuzDLUSlmTdr4CQXOJNlvT04trW3X+hJ6mTAkhSgkEgvNhya3ray4Zthc8XZQ8e1Vv1j40jnGx/mj0Bt7++wRTXt/M+uTCi1/gHGj1poIMlRClWoWHWsk9401lSm+sO0ajrvUC4Zlkl9axM6MMScJmHYoNBiPLt6Qx891tHDhZgbuTgudn9eH7u0dZS+Tbg7ggUwlcSn7LG40kZVXQoDXg5+ZEzw4opVPKZUyJD2T5/CFseWwid43vjqezkuyyOv7z+1FGv/w3b60/3m7NB1pKg1ZPVqlpTtTRnffORJIk/m9mH6tw/ndK6z6XBPaHuEMILkpGSS3XLk3gS3O72LvH9+Dn+0e3681F0DL83Z148Zq+rFk8lrExfmj0Bj7Yks7k1zbz28E8bFmlazQaWWsWpewp4LxBq+fFNUcBuGtcD5FtJmgVPcylKuklNa06f3ysKYclMa0EXSd3yBQIBPbJodwKwNRcwR6JDnDjs4VDef+mQQR7qskpr2fR53tY9NluTpa1zImtEU6pNjN/ZBQB7k7kVtSz0hxKbgu+T8oBYEy0n03mTAWVDdz88U5eXJOCVm/ksvhA1j8ynltGRLZ75mmvYFNZUEpBy51S206YNpHGRPt2eKfmMG8Xnrzc5J568Zq+dPdzpbJeyxvrjzHm5b/535+plJmzezuLzNJaDEZwVytskgHWVqID3Lh9TDcAnvsluU1OToH9IO4Qggvy55ECrnx7K8n5Vfi6qvjstmE8cXmcXbljBKeIC/Lg89uG8cmCoXTzc6WoupH7v97H/BW7yCxpnfPjTFILq8kqrcNJIbMuwO2BFdszyCmvJ9hTzd3jRfihoHVYSgDSWumUig/2wF2toFajJ6Wg5Tu2AoGga1NU3UBhVSOSZPq8sFckSeLyvsGsXzKeu8Z3tzoTpry+mXc2HG+2Y8dSvqeQ22dWjiPgrJLz4OQYAN75+wR1mraXdxkMRlbvNYlSsweHtfl6G1OLmP7WFhLSSnFWynn52r4sv2Uwga3Id2oNvYJNDqejrSjfs4Scj7FRuH9rcFEpuHF4BOuWjOfteQOJDXSjulHHuxtPMO6Vjby38QT1ms4RX44XmkPOA9w6XLQ7Hw9MjiHQw4nssjo+3JLe2cMR2AAhSgnOidFo5L2NJ7jri73UavQM7+bDmsVj7UqEEJwbSZKYGBfAH4vH8tCUGFQKGVuPlzD1zS283YKJ5PlYe9jkkhob4283LZ6Lqhp47+8TADw+PQ5nlRBNBa2ju7/ZKdVKUUomkxgU4Q3Answym41LIBB0DSwdwnr4u9nNPfRCuDopePLyXvyxeCwjuvvQqDPw2rpjTH9zK9tPlFz0fJ0o37MJc4aEE+HjQklNI58mZLb5ejvSS8mtqMddrWBa79a73i3rhds+3U1FnZa+oZ78/uAY5g6L6FABw+KUSiuubdE8t7JOy0Hz3+QYO8ghlcskZvYPYe3icSy7eTDxwR7UNOp49c9UJvxvI9/uPone0LE9yix5UjEB9tMl0M1JwVMz4gF4b9MJcsrbN0tX0P6IO4TgLBq0eh5atZ9X/0wFYMGoKL5aNLzDdjsEtkGtlPPQlFj+fGicqaRPZ+D1dceY8fY29p+saPV1/zpiqt+e1tt+Ou69sf44tRo9A8K9mNk/pLOHI3BgIn1MolRJTWOrLeFDIk2i1O6scpuNSyAQdA0O5ZicHPaWJ3UxYgLd+eaOEbw1dwD+7k5klNRy00c7eeTbA5RfoLxIOKVsg0oh46EpJrfU8i3pbc4M/d7skrqqfwhqZes28moaddzzZRKv/pmK0Qg3Do9g9T2jrI7jjiTIQ42nsxK9wWgVUZpDQloJRqOpJCzI037WOTKZxPQ+Qfz2wBjemjuAMG9nCqsaeWz1QS5/awsJzRCEbYW9hJyfyVX9ghnezYcGrYH//Ha0s4cjaCNClBI0oaJOw00f7eTn/XkoZBIvXNOH52b2RiF2uByWbn6ufH7bMN6eNxA/NydOFNVw7dLtvPxHSosX3UVVDSTnVyFJMCkuoJ1G3DLSi2v41tw95ukZvdo9t0DQtfFwVqBWmj7vCqsaWnWNwVEmUSpJiFICgeAM7DXkvDlIksTVA0LZ8Mh45o+MRJJgdVIOU17fzM/7c8+ZX2n5loS4N7eVmf1D6O7vSkWdls/a4Jaq1+j505wNet2g1gWcF1Q2MPv9BNYeKUAll/HStX158Zq+ndb8SJIka9j50RaEnW81izv24JI6FzLZqb+5p2f0wtNZybHCGm78aCeLV+6jqJXzlJZwvMj0+7Q0grEXJEni31f3QS6TWHukgK3HRYMZR0YoDQIrRVUN3PDBDvZmleOhVvD57cO4aXhkZw9LYAMkyWQHXr9kHLMGhGAwwrLNaVz1TstcU5uPmT7w+4V64uvW+WGHAK+tO4beYGRyXABDonw6ezgCB0eSJILMrtCCytZN9iyLzfzKhgs6CAQCwaWHpXzPXkPOm4OHWsm/r+7D93ePJDbQjdJaDYtX7mfBJ2cHoVsquIx0bMlRV0Qhl7HYnC314dYMqlrpltqQUkitRk+Yt7O13LwlHC+s5tql20kpqMbPzYmVd41g3rCIVo3FlljDzluQK7XdzkUpC04KOYvGdmfLoxOtgvDP+/OY/NpmPtme0W6NVXR6AxnmTNroTnDAXYyeQe7MH2laq77w+9EOL20U2A4hSgkAyCqt5bplCaQWVhPg7sR3d49iVA/7/oAWtBwvFxVvzh3IB7cMxs/NieNm19R/16ag0V38hrbJLErZS7bYoZxKfj+YjyTBP6b17OzhCLoIllLlglbuQLqrlYT7mDoZibBzgUBgoai6gYKqBrsPOW8ugyN9+O2BsTxyWSwquYzNx4qZ+sYWPtqabl0kW3KFbNgE+JLmyn4hRAe4UVmv5ZNtma26xs/78wC4ekBIi3OfdmWUcd37CeRVNtDdz5Uf7x3VKmGrPbCEnTf3vnuyrI6s0joUMokRPXzbc2g2w9PFJAj/ct8Y+od5Ut2o4/9+Teba9xM4Xmj7+UZWWR1avRFnpZxQO+1qvXhyDJ7OSlIKqvl+r+26Uwo6FiFKCUgvruH6ZYmcLKsn0teF1feMomeQ/YTZCWzPtN5BrHt4HDP7m1xT729K49r3t5NefP46fJ3ewFaLKNXTPkr3XvkzBYBZA0KtO2QCQVux5Eq0tnwPTJ0woXXtqQUCQdfE0ULOm4NKIeOByTH88dBYhnXzoV6r5z+/H+WapQkcyavEUlFvEKqUTZDLJGu21Efb0qmsb5lbqrJOy+ZU01xuZv+Wle5tSi3i5o93UtWgY1CEF9/fM4pwH5cWXaM9scwDj+ZXnbOU9Ey2mrvuDYzwws3B/h77hnnyw72j+c+sPrirFRzMqWTG29tYtjnNpm6h0/Ok7DUew8tFxQOTogH431/HqG1se3dKQccjRKlLnOzSOm78cCdF1Y30DHTnu7tH2tUNRtB+eLuqeHveQJbdPAgvFyWHc6uY8fY2vt198pw38wM5FVQ16PB0VtLfDsoOEk6UsPV4CUq5xMNTYjt7OIIuhK+rqTS1rLb1QbK9zMJ+qnBKCQQCM44act4cevi7sfKOEbx8bV881AoO5VYy893tHMkz/cxCkrIdV/QJpmegO9UNOj7eltGic9ceyUejNxAX5N6iDeiNKUXc+fleNDoDk+MC+GrRCHxcVS0dersSG+iOTILSWg3FNY0XPd5Sujfazkv3zodcJnHziEjWPTyeCT390egNvPxHCrOXJVxwk7kl2GvI+ZnMHxlFlK8LxdWNfLA5rbOHI2gFDidKvffee0RFRaFWqxk+fDi7du264PHfffcdcXFxqNVq+vbty5o1a6zPabVaHn/8cfr27YurqyshISHMnz+fvLy89v4x7IKc8jrmfbiDgqoGogPc+OqO4QS420/nCUHHML1PMGsXj2Nkd1/qtXoeW32Q+7/ZR2Vd0wW5ZWdtTIxfpwffG41GXjF3h7xxWAQRvkJIFdgOd7Vpx7Qt3Y1iAk2T/TQbTQwFAoHjYwk579MFRSkwhTLPHRbB+kfGc0XfoCaOjf3ZFZ03sC6G7DS31IptGVTUNT+70FK6N3NA8zsVr08u5M4v9qDRG5jeO4j3bx6Ms6p1HfvaE7VSTjc/Uwfdi4Wd6w1GtqeZRKmxMY4pSlkI8lTzyYKhvHJdP9ydFOzLruDKd7bx476cNl/bUhJo76KUSiHjicvjAFi+NZ28ivpOHpGgpTiUKLVq1SqWLFnCs88+S1JSEv3792fatGkUFRWd8/iEhATmzZvH7bffzr59+5g1axazZs3i8OHDANTV1ZGUlMQzzzxDUlISP/zwA6mpqcycObMjf6xOoaSmkZs/2kluRT3d/Fz5etFw/OwkuFrQ8QR5qvly0XAem94ThUzi94P5XPH2VvZkllmPSUgrBWCcHdy8Nx8rZv/JCtRKGfeZLbsCga04JUq13gJucZyeLBMTI4FAYOKwA3feawkB7mqW3jSY928aZP3eWxuO89Kaoy3u+is4N9N6B9Er2IOaRh0fbk1v1jmFVQ0kppvmclf1a54oteFoIfd8tRet3siMvsG8c+PATuuw1xzimhl2npxXRUWdFjcnBf3CvDpgZO2LJEnMGRrO2ofHMaK7D3UaPQ+vOsCj3x2gTtP6ucyJYsdwSoHpb2JYlA8NWgP/M29cCxwH+/1UOQevv/46d9xxBwsXLiQ+Pp5ly5bh4uLCihUrznn8W2+9xfTp03n00Ufp1asXzz//PIMGDeLdd98FwNPTk3Xr1jFnzhx69uzJiBEjePfdd9m7dy/Z2dkd+aN1KPUaPbd/tofM0jrCvJ35+o7hBHgIh9Sljlwmce+EaL6/ZxSRvi7kVtRzw/IdfLQ1nTqNjgM5FQCM7N65opTRaOStDccBuHl4pHD3CWyOh1oJtM0pFeZtCgQtrG6gUScWYQLBpU5xdaM15Lx3yKWRgXh532AiT3Myf7AlnSve3srerLILnCVoDjKZxMNmt9Sn2zMpu0inV6PRyG8H8zEaYUikd7OiOnZllHHvV0lo9Uau7BfMW3MHoOxkp/zFsJTOXyzsfOsJk/t/RHdfu/+ZWkKolzNfLRrBQ1NikEnw3d4cZr67vVVRAgaD0Vq+F+MAopQkSTw1oxcAP+zLtW4CCBwDh/kr1Gg07N27lylTpli/J5PJmDJlComJiec8JzExscnxANOmTTvv8QCVlZVIkoSXl9d5j2lsbKSqqqrJl6OgNxh5cOU+DpyswMtFyWe3DSPY0z67KQg6hwHhXvz+4FiuHhCC3mDkP78fZfiLG9DqjYR4qq1dxTqLbSdK2JddgZNCxp3ju3fqWARdE1s4pXxdVTgr5RiNkFfR+sB0gUDQNbAskLr7uXaZkPPmYHHhzx4cRoC7E+nFtcxelsi/f02mXiME+7ZwWXwgfUI9qNXoWb7l3G6ptYcLuHbpdtYeLuCX/blA80r3juRVcvunu2nUGZjSK4A3bhjQ6dENzeH0sPMLse141yjdOxemMPxYvlo0ggB3J04U1TDrve38fjC/RdfJrainQWtAJZcR4SB5w/3DvZjZ3/T+/t9fwi3lSNj/p4uZkpIS9Ho9gYGBTb4fGBhIQUHBOc8pKCho0fENDQ08/vjjzJs3Dw+P8+9ivfTSS3h6elq/wsPDW/jTdB7/+T2ZdcmFqBQyPpw/hB7+9q98CzoeNycFb94wgOev7o1SLlkX514uqha3D7YlRqORt9abXFI3Do8QLilBu6BWmrIyGnWGVl9DkiRCzW6p3HJRwicQXOocukRK987EyVzqNTbGj3UPj2f24DCMRlixPYPpb21hh7mcTNByJOlUo5fPEjIpOUe496HcCpKyK/jP70c5kFOJXCZxRd/gC143s6SWW1fsprpRx7AoH969cZDDuIks5XsnimrQnOceXq/RsyezHHDckPPmMLKHL38sHsvYGD/qtXru+zqJV/9MaXZ3PotLqpufq0MIkhaWXBaLQiaxKbWYXRnClekoXDpbNRdBq9UyZ84cjEYj77///gWPffLJJ1myZIn1cVVVlUMIU6v35vDJ9kwA3pgzgKFRPp07IIFdI0kSt4yMok+oJ9csTQAgOb+KH5JyuHZQWKeMKTGtlD1Z5agUMu4e36NTxiDo+ljaHre1rbK/m2mHsrT24l2ABAJB18bi3OgdcmmKUo06A54uSl68pi8Dwr14+qfDZJXWMXf5DgDuHNcdrd5ATYOORp2BRp0ejc5g/rdJXJBJIJMk05cMFDIZrk5yXFUKXJ0Upn87KfB1VeHn5mT6cnfCz02Fk8L+grltwaS4APqHeXIgp5LlW9L55xW9mjw/b1gE729KI9cc/Dyqh+8FM2TLazXc+skuSmoa6RXswUcLhlg3ahyBEE817k4Kqht1ZJbWEht4dofB3ZllaPQGgj3V9PB37YRRdhy+bk6mEPQ/U1m+JZ33NqaRnFfFm3MH4umsvOC5x4vMIeeBjmVgiPJzZc7QcL7emc0ra1P47u6RnbqhLmgeDiNK+fn5IZfLKSwsbPL9wsJCgoKCznlOUFBQs463CFJZWVn8/fffF3RJATg5OeHk5Fih4IdzK/nnj4cAWDw5hhn9LrxLIhBYiAtq+vew5NsDHDhZwdNXxnf4zpklS2re0HACRQ6aoJ1Q2EiUsrTLLr9I1odAIOj6JJtFqfgunifVoNVzsqyOjJJaMktr2Wju3PvY9wd5ZW0KJTXn/jw8X/mZrfB1VRHu40LEaV9Rfq70DHK/6OLcnpEkiYcvi2XBJ7v5PDGTRWO7NXGRh3m7MCkukPVHTeuhy/ucf/6v0Rm468u9ZJkzZz+7bag1Y9FRkCSJ6EA39mVXcKyw+pyi1LYTptK9MdF+l4RYoZDL+OcVvYgP9uDx1QfZmFrMNe9t55OFQ4n0Pb8o50h5Umfy4KQYVu/NYU9WORtTi5gUF3jxkwSdisOIUiqVisGDB7NhwwZmzZoFgMFgYMOGDdx///3nPGfkyJFs2LCBhx56yPq9devWMXLkSOtjiyB1/PhxNm7ciK+vb3v+GJ1Cea2Gu7/cS6POwMSe/iyeHNPZQxI4EEnZJotzoIcTc4dG8NaG43yWmMXxohreu3EQ3uaFd3uzM72UnRllqOQy7p4gXFKC9kNmnqTqjW0TpbxdTZP5srrWB6YLBALHp6ZRR1ZpHXAq88bRadTpOV5YQ0pBNUfzq0gtqCajpJa8ynrO99FpEaRUchn+7k54uyo5nHt29s+Sy2LxcVXhpJDhpJSjksuQJFPwssEIBqMRg9GIRmegTqOnVqOjtlFHbaOe6gYdZbWNFNc0UlKtobS2Ea3eSGmthtJaDftPVpz1esGeamID3YkLcqdXsAcDwr2I9HVxGMFifKw/AyO82JddwbJN6fzrqvgmz0+KC7CKUufLUDIajTz14yF2ZZTh5qRgxYKhDhuREBvgbhalas75vCVPakwXzJO6ELMGhhId4Madn+8hvaSWa5cm8NGtQxgY4X3O448XOU7nvTMJ8lSzYFQUH2xJ59U/jzEhNsDqghfYJw4jSgEsWbKEW2+9lSFDhjBs2DDefPNNamtrWbhwIQDz588nNDSUl156CYDFixczfvx4XnvtNWbMmMHKlSvZs2cPy5cvB0yC1OzZs0lKSuK3335Dr9db86Z8fHxQqTpmsd2eGI1GHlt9kJzyeiJ9XXjzhoHij1LQIpKyTKLU8G6+PHxZLPEhHixZtZ+EtFKufm87H9065Jw7Ubbm/c1pAMweEibC+QXtikJu+ozU6VufKQXg4yKcUgKB4FR7+iAPtdVB6Uho9QaO5lexL7uC/ScrSM6rIq24Bt153KTuTgqi/FyJ8nPl1wN5AAyN8ua5mb2tv4PTBZ+aRh3//SOFL3ZkAfDtnpO8Mrsfo3q0XTQwGo1U1GnJrajnZFkd2WV1nCyvI6u0jvTiWnIr6smvbCC/soHNx4qt53m7KBkY4c3AcC8GRngzKNILF5V9LpskSWLJZbHc8vEuvtqZxd0TujcRlGoaT22MJKSVcINPxFnX+GBLOt/tzUEmwbs3DuyQeV17EWMuNzteeHbHuZKaRqtrsSvnSZ2PPqGe/HjfaG77dDdH8qqY9+EO3po7kGm9m1YRGY1GThRanFKO+V64e3wPvt6ZzdH8Kn47lG8NQBfYJ/b56XoebrjhBoqLi/nXv/5FQUEBAwYMYO3atdYw8+zsbGSyU+VEo0aN4uuvv+bpp5/mn//8JzExMfz000/06dMHgNzcXH755RcABgwY0OS1Nm7cyIQJEzrk52pPVu4+ybrkQpRyiaU3DcLTxbFsuILOZ595V3FQhBcA03oHsfreUdzx+R6yy+q45r3tvDV3IFPi288am1JQxabUYmQS3DlWdNwTtC+Wsj15GwV8D3NJSFWDcEoJBJcyljypXsGOsbirrNeyM72UvVnl7Muu4GBuBQ3as0V6T2clvYJN7qK4IHd6+LsR5eeK72mik6ezgi93ZDOqh99587TcnBQ8P6sPl/cN4rHvTRupN364kwWjonhses82iUGSJOHtqsLbVUWfc4TMVzVoOV5YTUpBNakF1RzOreRwbhXldVr+Tini75QiAJRyiYER3ozu4cfoaF/6h3vZVfj3mGg/BkV4kZRdwYdb0nlqxim31J9HTkWZfJ6YxZwh4U1Ewb9TCvnv2hQAnr2qNxN6BnTcwNuBGLOgduwcolRCmilYv1ewxwWztboygR5qvr1rJPd/ncTG1GLu/nIvz8yI57Yx3azHFFY1Ut2oQy6TiPJzjM57Z+LtquKOcd15fd0xXv8rlcv7BNnV36ygKQ4lSgHcf//95y3X27Rp01nfu/7667n++uvPeXxUVBTGNpZn2DPpxTX8+9dkAB6d1vOSC9cUtB2j0cg+c/negNPsvXFBHvx83xju/WovO9LLuOOLPfxjak/undCjXezulqyJy/sEE+XXtUMpBZ2PJVS3rcG4KnPA7/k6AAkEgkuDZKsoZZ+lew1aUzey7WklJJwo4VBuJWeaoDzUCpNzKMKLvqGe9Ar2INhTfdF7vuVztDndTEf18GPtQ+N44fejfLMrm08TMtmUWsT/ru/PkHZqzuOhVjI40ofBkaeu36jTczS/mn3ZJlFuT2YZeZUN7MooY1dGGW+sB1eVnFHRflzWK5CJcQH4u3euwCFJEg9OjmHBJ7v5ckc2d4/vga+bE4VVDew1O94BjuRVsf9khbVk62RZHQ+t3I/RCDcNj+DWUVGd9BPYjlizUyqztI5Gnb7JvXzbcZMbbkx014traQmuTgo+nD+Ef/1yhK93ZvPv35IpqWnk0Wk9kSSJVLOgF+Xr4tBNAm4f043PEjLJLK3jx325zBli/43JLlUcTpQSNA+9wcjD3x6gXqtnZHdfFo0R7hJBy8kqraO8TotKISP+jMm0j6uKL24fzr9/TeaLHVm8+mcqJ4pq+O91/ayLcVuQV1HPL/tN9v87x4n3saD9sYhIbX0fOwlRSiAQAMn5pgWePYWcZ5fWsf5oIRtSCtmdUY7mjHLl7n6uDO/uYypdi/Cmu59rq+IfTnXf0zfreDcnBS9d25fpfYJ4/PuDZJbWcf0HiSwa041HpvbskE5wTgo5A8K9GBDuxcLRpg26rNI6s2hXSkJaCeV1WtYlF7IuuRBJgoHhXkyJD2RqfFCnZfCMj/WnX5gnB3Mq+WhbBo9Pj+PPI6ZYkkERXnTzc2N1Ug5f7MhiYIQ3DVo9d3+5l6oGHQPCvc7KonJUgjxO68BXUkfPIJNzymg0npYn5d+ZQ7QLFHIZL8zqQ6iXM6/+mcrSTWlUNWj598w+1tJHy+/OUXF1UnDX+O68uCaF9zae4NqBoSiEW8ouEaJUF+XThEwOnKzAXa3gtTn9RY6UoFVYAkH7hHicc4GulMt4flYfega58+wvR/hxXy75lfV8cPMQm5WKrtiWgc5gZGR3k11eIGhvLIsnpzaKUqrTWqELBIJLE73BSGpB5zulDAYj+05WmISoo4VnhUAHeagZFe3L6B5+jIr2tVl2o7NZRKrXNE+UsjA+1p8/Hx7H878l8/3eHD7cmsHfKUW8NmcAAzp4LiBJkjUj66bhkRgMRpLzq/g7pYj1Rws5mFNJUnYFSdkVvLI2lfhgD2YOCOGq/iGEenVcBqYkSTwwKYY7Pt/D5wmZ3DWuO2sO5QMmp/nQbj6sTsrht4P5PDMjnpf/SOFIXhU+riqW3jTIoR0xpyNJEjGBbiSZO/BZhBVTEH8DKrmMYe3kvHM0JEnivonReLkoefqnw3y5I5uaBp3VAenI2WIWbh4RybLN6WSV1vHT/jxmDw7r7CEJzoEQpboguRX1vPZXKgBPXt6LkA68IQq6FpbSvfN15rBw84hIwn1cuO+rJHakl3HdsgQ+WTCUcJ+21aFX1mn5Zlc2AHeNFy4pQcdgcTY5tXFHXiWXN7meQCC49MgoqaVBa8BZKSfqAu3X2wOj0cih3Ep+2Z/HbwfzKahqsD4nl0kMjfJmirn8rLufa7uU37s6mZYaNY26Fp/r6azkf9f3Z3rvIJ788RBpxbVcu3Q790zowYOTYzpNRJHJJPqEetIn1JMHJ8dQUNnAhpRC/jpSyPYTJSTnV5GcX8XLf6QwNMqbmf1DmNk/tENyXaf0CqBXsAdH86t49c9UdmWUATC9TxBh3s70CfXgcG4Vcz5I5HhRDZIEb88d2OXWCrGB7iRlVzQJO992wuSSGhzpjbOqawhwtuKm4ZG4OSlY8u0BfjJXJ0DXEKVcVAruGNud/641uaVmDQgRbik7RIhSXQyj0cgzPx2mTqNnaJQ3c4eK2llB67GEnDdnV3J8rD/f3jWS2z7dzYmiGq5Zup2Pbx3aJnfTlzuzqNXoiQtyZ3yssFoLOoZa846+s1JMWgQCQduwhJz3DHJvc/OE5pJeXMNP+3L55UAemaV11u+7OymYEBfAlF4BTIgN6BCRxE3delHKwpT4QAZHevPsL0f45UAe721MY8NRU9bUucLLO5ogTzU3DY/kpuGRlNdq+ONwAT/vz2VXZhm7M8vZnVnOf34/yhV9g5k7NJxh3XzaRQAEc7bUpGju+SqJr3aaNvX6hnpaNwlvGRHJ46sPcbzI5JRbMiWWMTFdrwudpYTydEfgVmvpXtf7eW3B1QNCcVUpuPerJGs5b0QbN5fthfkjI1m+JY2Mklp+PZjHNQOFW8reEDPuLsa65EL+TilCKZd46dq+omxP0Go0OoN1Mt1cq3x8iAc/3TeaXsEelNRouGF5In+Z8wxaSqNOz6cJmYApS6q9JnACwZlU1GoA8HZpW+t2ncE0qVPIxXtXILhUsYSct3eeVINWzw9JOcz5IJFJr23m7b9PkFlah1opY0a/YD64ZTC7n57CO/MGcvWAjnHtgEkIA6htgygFpk5ab88byPs3DcLHVUVKQTWz3tvOm+uPodXbjxvV21XFjcMjWHXXSBKfmMzTM3oRF+ROo87Aj/tyuWH5Dia/vpnlW9IoM99rbM203kHWsG8wuaQsXN43uMmx902MbpcxdDYWh8+xIpNTSqc3sMPceW9MtBClzseU+ED+c00f6+MXfj9Kg7Zlpbf2iKuTgkXm7t3v/H3C2mVZYD8IUaoLodEZeOkPU0vXRWO7Ex3g+JZLQedxrLAard6Ip7OSMO/m27qDPNV8d/dIxsf606A1cNeXe/l0e0aLX//3g/kUVzcS5KHmqv4hLT5fIGgt5XVaALzaKEpp9aZJj7CJCwSXLkfbufPescJqnv35MMNeWM+Sbw+wK6MMmQQTe/rz1twB7H36Mt67cRDTegd1SEj4mVjK96ob2iZKWbi8bzB/PTyO6b2D0BmMvLn+ONcs3U5qQfXFT+5ggjzVLBrbnT8Wj+Wn+0Yzd2g4Lio56cW1vLgmhZEvbeDJHw5xosi2Y5fJJG4b3c36eGSPU53mPticZv13n1CPLrt5bRGlsswd+A7kVFLdqMPTWWkX7jp7xue0uU9ieil3fL6nSwhT80dG4umsJL24lt8O5l38BEGHImbKXYivdmaRUVKLn5uKeyf06OzhCByc5Dzz7m6wR4tdSm5OCj6+dQjzhkVgNMJzvybz6p8pGI3N25kwGo18sj0TgFtGRqIUi3pBB1JRZ3FKtc1JoDPv3iu76KRfIBBcHIsoFR9su41Cg8HIptQibvl4J1Pf2MJniVlUNegI83bmkcti2f7EJD5ZOMxUjuPUuUkdlvK9Wo1tRCkAPzcn3r95EG/NHYCns5LDuVVc9c42lm46Yf3ctSckSWJAuBcvX9ePXU9N4aVr+9I7xINGnYFvdmUz5fUt3LpiF1uPFzd7nnQxPJ1P3b92pJscQjvTS1m66ZQolZxXRV5FvU1ez94I9HDCXa1AbzCSXlzLdnOe1Oho3w4ro3VUUs05XMGeapyVcrYeL+HOL/Y6vDDlrlayaIxJrBVuKftDrPS6CJV1Wt7acByAhy+LxV3dMbZsQdfFUnLQu5UlBwq5jBev6cOj03oC8N7GNJ784VCzJoxJ2eUcyq1EpZAxb1hEq15fIGgt5WZRyquNopTWYHFKiQmwQHApUlrTSGFVI5IEPYPa7pRq0Or5emc2U9/cwoJPdrP1eAkyCab3DuLz24ax5dGJPDA5xmad82yBpXyvxkZOKQuSJHH1gFDWPTyOyXEBaPQGXlmbyuxliaQX11z8Ap2Em5OCecMi+O2BMay6cwRT4wORJNh8rJhbPt7F5W9t5feD+RjauGD+O6XI+u+PtmZQXN3Ikm8PYDTC9YPDGNndF4MRVu0+2dYfyS6RJMnqljpeVMO24xZRSpTuXQxLOPzNIyL5ZOFQnJVythwr5q4uIEzdOjoKD7WCE0U1/NnKeBFB+yBEqS7CR9vSqajTEhPgxg1DRLi5oO0cyasEoHdo6yfSllazL1/bF5kEK3ef5L6vky56U7O4pGYNCMHHtW0lVAJBSykzl++1NVOqusF0HbFJIBBcmhzNNy3uIn1ccGuDY6leo+fjbRmMe2Uj//zxECeKanBzUnD7mG5sfnQiy24ZzLhYf7ssxWpL973mEOCh5qNbh/Dq7H64OynYf7KCGW9v44vETJu5jtoDSZIY3t2X5fOHsOkfE1gwKgoXlZyUgmru+zqJaW9u4ef9ua1ycxgMRjamnhKlymo1DH1hPbkV9YR5O/PszN7cONy04bdyd7ZdustsQYw57Hx/dgVJ5m7SY6NF05yLkWoOh48NdGdEd19WLDAJU5uPFfPgN/sc+v3ioVZy66gowFTKas+fEZcaQpTqAlTWafnUvIh/ZGqsyC8RtBmDwXha+V7ba+/nDotg6U2DUSlk/HmkkAWf7LIu2M8kv7KePw6bdi8WjOp2zmMEgvYk31zOEOSpbtN1KutN7/HTyygEAsGlQ3K+aXOntXlSdRody7ekMfaVv3n+t2SKqhsJ8VTz9IxeJD45iWeujLd2VbNXLOV7Wr2RRl37uCwkSeL6IeGsfXgco3r4Uq/V88zPR5i/YhcFlQ3t8pq2JNLXledm9ibxicksnhyDu1rB8aIaFq/cz2VvbObHfTktck7tz6mgpEaDu1rBf2b1afLcy9f2w81JwbTeQfi6qiisamTDaa6qrkSM2Sn15Y4sdAYjET4uRPja999LZ6PTG0gzd2bsaf79jezhy8e3DkGlkPFXciGPrz7UZidfZ3LrqCicFDIO5FSSaC5tFXQ+Qr3oAqzYnkF1o464IHemxgdd/ASB4CJkldVRq9GjUsjo4e9qk2tO7xPEZwuH4eakYEd6GXOX76C4uvGs477ckYXeYGR4N59271YkEJyJRmeguMb0vgzxalsJTJUQpQSCS5rUAtPiLq6FpXtavYEvEjMZ98pGXlyTQkmNhjBvZ16+ti+bHp3IorHdHcaB6ao65RCzdQnfmYR6OfPl7cN59qp4nBQyth4vYeobm/l5f267vq6t8HRR8rA5E+wfU2PxcjGFMj+86gAz3tnG5mPNy5xan1wIwPhYf2YNDG3y3JgYU/maSiFjzlBTZcXXO7Nt/JPYB5b5q8bs7BGlexcnq6wOjd6As1LepMnRqGg/3p03ELlMYnVSDs//nuywLiM/NyfmmKuKlm1O7+TRCCwIUcrBqWrQssLc2ezByTF2ad0WOB4Wl1RckLtNnXcje/iy8s4R+LmpOJJXxexlCWSX1lmft+RlACwcHWWz1xUImkthVQNGo2nC7tvG0lHhlBIILm2OmbNZega5Net4o9HIn0cKmPbGFp75+QglNRoifV14ZXY/Nv5jAnOHRaBSONbUXS6TrKWLls/E9kQmk1g4uhu/PziGfmGeVDXoWLxyP/d/nWRtYmHveKiV3D8phm2PT+LRaT1xVys4ml/FrSt2cfPHOzmUU3nB8zccNTmfpvQKbNJtz0Ulb+JWmzfUVMK35Xhxk7lYV6GHf9O/u7ExQpS6GMfMXSxjA93OWlNO7R3Eq7P7AaaYDUuWsSNyx9juyCTYcqzYGlci6Fwc684mOItVu05S3aAjJsCN6b2FS0pgG051C7K9U6lPqCff3z2KcB9nskrruG5ZgjVU8Zf9eZTXaQn1cmZKr0Cbv7ZAcDFyzaV7IZ7qFnedPJOyWtsEpgsEAsfDYDByvMiywLt4573DuZXM+SCRu77YS3pJLb6uKp6/ujfrl4xnzpBwh+5Ca/kMLK9rf1HKQnSAO6vvGcVDU2KQyyR+O5jP1De2sCnVcUrV3JwU3Dcxmi2PTmTRmG6o5DK2nyjlqne38dDKfRRWnV2aeLKsjtTCauQyiSg/V5adJkrVafR8tyfH+jjC14Vxsf4YjfDN7q7nlgo9w+08srtvJ43EcbB03os5z2fWtYPC+L+ZvQF4c/1xVmzL6LCx2ZIIXxdm9AsB4APhlrILHPcOJ0BvMPJZYiYAt4/pJlxSApthmUif76bUVqL8XFl99yjigtwprm7khuU7OJxbyacJmQDMHxkpstEEnUJ+pVmUamPpHmDNMgnyaFs2lUAgcDxOltfRoDWgUsiI9D1/GXxVg5bnfjnCzHe3sTuzHCeFjPsm9mDToxO4ZWSUQ4tRFixNIyrrO9appJTLeGhKLD/cM4ru/q4UVTey4JPdPPXjIWrbKXi9PfB2VfH0lfFseGQ81wwMRZLgp/15TPrfJj7YnIZGdyp4ev1RU+nekEhv3lx/DK3eyPhYf569Kh6A9zeloT0tqPpGc4fj7/acbHKdrsCZ6yJv0TjnoljdnReY/986Kooll8UC8O/fkvn1QF6HjM3W3DWuOwC/HczjZFnXcwo6Go5/p7uEWX+0kJzyerxclFw9IPTiJwgEzeR4kaXzRvNKDlpDgIealXeOoH+YJ2W1Gq58ZxvJ+VWmnAPRQVLQSWSZSxhOz1JoDUajkXyzKGULgUsgEDgWqeYymJgAN+Tn2DQ0Go38ciCPKa9t5tOETAxGuLJfMJsencCj0+IcJjOqOVidUrUd55Q6nf7hXqx5cCwLzF23vtqZzRVvb2VvVnmnjKe1hPu48MYNA/jlvjEMjPCiVqPnpT9SmP7WFrYeLwZOle5JEmxKLUYpl3j2qnjmDYvAz82J3Ip6fkw6lbE1uVcAgR5OlNRo+Cu5oFN+ro7A0cpeO4tjls57QRfelH5gUrT17+mRbw+w0wEDw/uEejI2xg+DET7cKtxSnY34C3VgLB335g6NwFkl79zBCLoMjTq9dWEeE9A+TikLXi4qvlw0nKFR3tbv+bs5id0sQaeRVlwLnJ1F0VLK67Q0mnedAzyc2jwugUDgWFzIcVBU1cDtn+3hwW/2UVTdSDc/V764fRjv3jiIYM+uJ2JbnFLlnZjppFbKeW5mb75aNJxgTzVZpXVcvyyBV/9McTiHUN8wT1bfPYpXZ/fDz01FenEtt3y8i9s+3c22EyUA7EgvA+C2Md3o7u+GWinnznGmjsbLNqehN3dPU8pl3GDOlvpqR9cq4Ts9iPvMUj7B2TTq9GSUmOZAF9uUliSJZ66MZ1rvQDR6A3d8vocT5ioLR+Ke8T0AWLX7pDVyQdA5CFHKQckqrSUxvRSZBLeMjOzs4Qi6EJkldegNRtydFAR2wGLaXa3k7XkDrY9zK+odKvNB0LWwtEJuqyiVZ86m8nNzwkkhNg0EgkuN1PM4Dn45kMdlb2zh75QiVHIZD0+J5Y/FYxkb498Zw+wQvM1OqYoOzJQ6H6Oj/Vj70DiuHRiKwQjvbUzj6ve2W51tjoJMJnH9kHA2PDKBhaOjkMsk/k5pOncKcHfigUkx1sc3Do/E01lJekktfx455YqaOzQcmQSJ6aWkFdd02M/Q3lhcPyCyHZtDenGtaf6vVjQrdkAuk3hr7kAGRXhR1aDj1hW7KTpHzpk9M7KHL31DPWnUGfhmV9cSZR0NIUo5KKvN1tvR0X6XjPqv1RuobtBSWa+lss70VVGnobJe63C7XPaMJU8qOtCtzUHPzeWPQ00t43d8voe1h7uujVxgnxgMRtJLzKJUQNtEqZxykygV6iXypASCSxFLFyuLU6qyTst9Xyfx4Df7qKzX0jvEg18fGMPiKTGolV1buPayA6fU6Xg6K3n9hgG8f9MgvF2UHM2v4qp3trF8yykHkaPg6azk2at689O9o8967uYRkdbOh2AKTr/VvJH93sYTVidRiJczk+ICAPhmZ9dZmFtcY3Dqniw4P6e7O5s7/1cr5Xx061C6+bmSW1HPbZ/tdqi8NkmSuG1MFACfJ2Y2yVsTdCyKix8isDcMBiM/JJm6Z8weHNbJo2kb9Ro9maW1ZJbUklfZQFF1A8VVjRTXNFJc3Uh1g446jY5ajf6iwpNCJuGskuOslOPqpMDHVYWvqwpfNyf83FT4uKoI8lAT5u1CmLczXi7KDhNdHInj5p2lmDYuypuL0Wjkq51ZADx7VTx7Msv5/VA+932dxOtz+ou8NEGHkVdZT4PWgFIuEd7GTCnLbnM3v/MHHAsEgq6JVm+wCtwxgW4czKng3q+SyCmvRy6TuH9iNPdPiu4SIebNwZ6cUqdzed9gBkd58+TqQ2xIKeLFNSmsTy7itTn9Cfdx6ezhtYg+oR6EeKrJqzzlVHl/UxoB7k7cMDTcOt9dMLobH27N4EheFVuOlzA+1uTQu2l4JOuPFvF9Ug7/mNazSwil28w5W4B5TaHtUllttubYRTrvnQ8fVxWfLhzKtUsTOJxbxf1fJ/HRrUPPmaVnj8zoG8KLa1IorGpkzaF8se7oJIQo5YDsyiwjp7wedycFU+ODOns4zcJgMJJRWsvh3EoO51ZyJK+KjJJaaxCwLdAZjFQ36Khu0EF1o7Uu+ny4OSkI83YmzNuF6AA3YgLciA10JzrA7ZLO6DphDTlv3zwpCzszykgrrsVFJWf24DBuGRGJk1LGD0m5PLRqPw1avTXvQCBoTyzv/Shf1zZ3f7SIUtEdJO4KBAL7IbOkFq3eiKtKzoajRbzw+1E0egPhPs68O28Q/cO9OnuIHYolJ9JenFKnE+Cu5qNbh/DtnpP8+9dkdmWWMf3NLfzrqnjmDAl3mM3LDPPm7unUa/U88cMh/k4p4uXr+uHjatqgnTcsghXbM3hv4wmrKDUu1p9QL2dyK+r543A+1wx07E1vjc7AzoyyJt9LL6695P72WkJqgWne0rMVTY4ifV35eMFQ5i5PZGNqMS//cZSnZsTbeojtgkoh45YRkby+7hgrtmUws3+Iw/zddyWEKOWArDmUD8DlfYPsVjzR6g0czKlkR3opO9JL2ZddQc157Jyezkq6+bkS5u1MgLsaf3cnAtyd8HN3wkOtwNXJ/KWSo1bKkZk/KCQJJEBvNNKgMVCn1VGv0VOn0VPbqKO8TkNJjYbSGg2ltY2U1mjIr6znZHk9xdWN1DTqSCmoJqWg2tpC13LdcG8XYgPd6RvqSb8wT/qGeeLndmmEFVvL9zpoMf2V2So+a2CodQfrf7P746KS8+WObB5ffQijEeYOE8KUoH05klcFQFywR5uvZcmmEqKUQHDpkWp2HNRq9Dz7yxEApvUO5JXZ/fF0vvScGqfK9+zLKWVBkiRuGBrByO5+PPLdfnZnlvP46kOsSy7kpWv74e9u//O/zcdOuYKGRHqz6q6RfLQ1nf/9lcpfyYXsO7mFV2f3Y0LPAO4Y140vdmSyK6OMvVllDI70QS6TmDcsnP/9dYyvdmQ7vCi1L7ucOo0ePzcV3f3d2JVRRnpJjRClLoDFKXWxznvnY0C4F69dP4D7vk7iw60ZxAS6O0w37RuHR/DuxhMcyKkkKbuCwZHeFz9JYFOEKOVgGAxG/jpiElAu7xPcyaNpSklNI38fLeKv5AIS00qp1eibPK9WyogP9qBPqCd9QjyJDnSjm69rmzutKQAnhRxPmj/Ra9DqySmvJ6e8jqzSOk4U1XCssJrjRTWU1WrILqsju6yuiVgV6uVsEqnCPRkW5UPfMM8uF2Cs0xusDrOOWEyX1DSy9rBJZL3xNNFJJpN4/uo+KGQyPk3I5IkfDgFCmBK0L0fyKgHoG9o2UcpoNNqsi59AIHA8tp+WZaOQSTx5RS9uGx11ye6+W8r3yu28u1WErwsr7zSJOa/9dYz1R4tIenMLL17Th+l2Nuc+k88Ts6z/fvzyOOQyibvG92BMjB8PrdzP8aIaFnyym1tHRvLkFb24dmAYq/acZOnGND5e4APAnCHhvLn+OHuyykktqKZnK8UJe8CSJzWqhx+uTgp2ZZSRVnThCopLmTqNjpPlps7bbamUmNEvmONFMby5/jhP/XiIbn6uDI3ysdUw2w0/NydmDQjh2z05rNieIUSpTkCIUg7GodxKCqoacFXJGdnDt7OHQ0lNI7/sz2PNoXz2ZpdzWvdVvF2UDO/my8gevgzr5kNMgFubS2JshVopJzrA7ZzCS2lNI8cKaziaX8Wh3EoO5lSQXlJLbkU9uRX1rDV3LHFSyBgY4cWwbr4M7+bDwAgvXFSO/SeVV9GAVm9EpZAR0gFtqb/bk4NWb2RAuBd9Qj2bPCdJEs9eZbL+WoQpIzBPCFOCduJwrskp1SfE8yJHXpi8ygZqGnUoZBKRviJTSiC4lEjOq+KbXSetj7+4fbhdzNc6E4vTvLS2EYPBiMyOs2YsYs74nv48vOoAR/OruPvLJK4bFMZzM+PtMpOoQau3biiGeKqbiAC9Qzz59YExvPxHCp8mZPJZYhY7M8p4dFpPvt17kg0pRRzNr6JXsAcBHmouiw/kj8MFfL0zi/+7uk9n/UhtZutxkyg1JsaPqnqTQ8+S8yY4mxNFNRiN4OuqanNlyIOTYjheWMPvh/K5+4u9/HTfaIfIaFs4uhvf7slh7eECcivqL5lGYvaCY6+gL0H+SjYJIhN6BnRaCKFGZ+DvlEK+35vLptQidKd1Kukb6sll8YFM7hVAryAPu554nA9fNydGujk1mURWN2g5nFvFodwKkrIq2J1ZRmmthh3pZexIN9WsK2QSA8K9GBvjz7hYP/qFeTlMyJ+FzFLTpCbSx6Xd/98ZDEZW7jaV7t04/NxCk0WYkiT4ZHsmT/5gKuU73/ECQWuprNOSXWbaJezdRlHqUI7JcRUb6I5KYR9CvEAgaH8STpRwx+d7rI//M6vPJS9IAfi6mRzxWr2Rynptmx3yHUFckAc/3TeKt9YfZ9nmNFYn5bAzo5Q3bhhgd86PH/flWv/9zo0Dz3perZTz3MzeTIwL4JFv95NSUM2D3+yzbiS/vymNt+eZzrtpeCR/HC7gh6RcHr88ziE3WyvrtRzMqQBgTLQfKQWmDaf0YuGUOh+p5m6htsiTlckk/nd9f7LKajmcW8Udn+9h9T2jcHWy7/dSr2APRvXwJSGtlM8TMnnyil6dPaRLCvt+dwjOYmOKqWb8svjADn/t0ppGvt6ZzRc7siiqbrR+v3+YJ9cMDGVq7yBCuqiq7K5WMrKHr3VyaSnP2ZVRxq6MUnZllJFX2cCerHL2ZJXzxvpjeLkoGR3tx/gYf8bF+hPkaf+t4bMsolQHuDt2ZZaRVVqHm5OCK/ud3xYvSRL/ujIeCYkV2zP454+HMGLkpuGR7T5GwaWDpXQvwscFT5e27YQfyq0AoF9Y28QtgUDgOPx1pID7v9nXpFPwtN6O0YymvXFSyPFyUVJRp6W4ptEhRCkwjfux6XFMjAvg4VX7ySmv54YPErlnQg8WT461m02HJ80RBwCDI88vmI2P9WfNg2N54Jt9TULAfzmQxyNTY4n0dWVUD18ifV3IKq3j1wN5DtloJjGtFIMRuvu7EuLlbP2bzCiptXunXmdx3NrkyDaRA84qOR/OH8LMd7eTUlDNQ6v288HNg+3+d79wdDcS0kpZteckD18W2yW6UDoK9vFpKmgW5bUakvNNav/oaL8Oe93Mkloe//4gI1/+m9fWHaOouhF/dyfuHt+D9UvG8fP9Y1gwuluXFaTOhSRJRAe4cePwCN6cO5CEJyez9bGJvHhNX6b3DsJdraCiTsvvB/N5bPVBRry0gcvf2sob645xJK8S4+l1jnZERonJKdLNr/1ttt/uMZU3XNU/+KI7cZIk8cyVvbh9TDcAnvrxMF/tzLrgOQJBSzhgdjf1aWOeFMBB87X6ClFKILgk+HFfDvd8lYRGZ7CWfPi4qvBzcwzxpSPwN5cElZy2qekoDI3y4Y/FY7luUBgGI7y3MY1r399u7djamRRVn+q4d8uIi2/WBXio+WrRcO6b2KPJ95/+6TBgcrlYMj6/NjeicTQsmW5jzWulMG9nlHKJRp2B3Ir6zhya3WJxSsXYsPN2sKczy28ZjEohY11yIUs3nbDZtduLSXEBhHo5W9dwgo5DiFIORGJ6KQA9A907pBNIdmkdj353gMmvb2bVnpNodAb6hXny1twBbH98Ek9cHkd0gOOGINqacB8XbhwewbJbBrPvmcv4/u6RPDgpmv7hXkgSHM2v4q0Nx5nx9jbG/Hcjz/1yhIS0EnR6w8Uv3kF0lFOqukFr7SJ5fTM7c0iSxNMzerHoNGHqyx1CmBLYhr1Zpl3jQRFtC7c0Go0cyjWJUv1Cvdo6LIFAYOf8uC+HJd8eQG8wcu2gUB6aEgOYmoVcqsHm58Iyby2ucTxRCkyO+dfm9GfpTYPwclFyOLeKK9/ZyueJmZ260fj8b0et//7HtJ7NOkchl/HotDg+WTjU+r2tx0v4cV8OALMHh6GSyziQU2ktR3ckLCHnlg18hVxGhDnTKKu0rtPGZc9YShx7Bdt2XTcwwpv/zDJlk7227liTLpH2iKULJcCXYvO7QxGilAORkGb6kG3vfILSmkae+vEQk17bxHd7c9AbjEyKC+D7u0fy832juXpAqN1Ylu0VhVzGkCgflkztyc/3jWbv05fx6ux+TI0PRK2UkVtRz6cJmdz44U4G/2c9S77dz8aUoia2/84gwyxKRbWzKPXrgXwatAaiA9wY2IL2vJIk8dSMXtwx1iRMPf2TcEwJ2o7BYGRPVjkAQ9qYFXKyrJ6KOi1KuURskOi8JxB0Zf44lM8j3x7AaISbR0Twv9n9rdmMHdHB1pGwilIO6JQ6nSv6BvPnQ+MYG+NHg9bAv34+woJPdlNU1XDxk21MZb2WXw/kWR97Ores9HxizwASnphkffzwqgOs2JaBj6uK6X1Mpadf73KsOVZOeR0ZJbXIZRIjTlsvWea1lr9PwSnKazUUVpn+Lm2RKXUmc4aEM29YBEYjLF65j5Nl9i0MzhkajkImsS+7whrtIGh/hLLgQOw0B2q3lyil1RtYsS2Dif/bxFc7s9EZjIyP9een+0azYsFQhkT5iF2/VuLjquL6IeEsnz+Efc9M5cP5Q7h+cBg+rioq67X8kJTLwk93M+zF9Tyx+iDbT5SgN3TszpveYLTeKKLauXzPUrp3w5DwFr+nJEnin1f04s5x3QGTY+q7PScvcpZAcH5OFNdQUafFWSmnd0jbyvd2ZpgcrX1DPXFSiCwCgaCrsjGliAdX7sNghOsHh/HvmX2QySRr2/lofyFKnY6lfM/RRSmAQA81ny0cxnNXxeOkkLH5WDHT3tzC2sMFHTqOVbtPldfdM6HHBY48PyFezrx/0yDr43//lsyj3x9k9uAwAH7en0d1g7ZtA+1ALKV7A8K98DitU2KEr2lem23ngkhnkGIu3Qv3cW637pLPzYynf5gnFXVa7vlqLw1afbu8ji0IcFczzSzKfrnDMUtYHREhSjkItY06ThSbatcHRnjZ/PpJ2eXMeHsr//4tmaoGHfHBHqy6cwSf3TaMAS1wsggujrNKzmXxgbx6fX92PzWFVXeOYMGoKPzcnKio07Jy90lu+mgnw1/cwL9+PszuzDIMHSBQ5VXUo9UbUcllBHu2Xz7YscJq9p+sQCGTmDUwtFXXkCSJJy+PY8GoKAAeX32QX07bLRQIWsLuTJPgPzDCC6W8bbdFSzfOEd1Fxy2BoKuy/2QFd3+5F63eyJX9gnn5un7WAF/LXK2HcEo1oas4pSzIZBILRnfjtwfGEB/sQXmdlru/3Mtj3x+gplHX7q+v0xv4dHum9fGYNmTNTu8TRFzQKYfM93tzeH3dMdzVCuo0en7a7zjzq63Hm5buWbA6pUqEU+pMLKV7cUFtz9Q8H04KOUtvHoyPq4rDuVU889Nhu83XBbjZ3Ezp5/25DiXKOjJClHIQjuRVYTRCsKeaAHfbdXFr0Op5cc1RZr+fwLHCGnxcVbx4TV9+fWAMw8Wiqt2RyySGd/fluZm92fnPyXy9aDjzhkXg5aKkpKaRzxOzuH5ZImP++zevrE0hrbj9QjUtluYIXxfk7dgdw+JqmhQX0KZsNEmSePaqeOYNi8BghIdX7e/wXUpB12BPpm1K9+CUU0p8fgoEXZOc8joWfbaHRp2BCT39eeOGAdZ7plZvsC56RfleUxw9U+p8xAS689N9o7l7fA8kCb7dk8MVb2215hS2F2uPFJBXeapkcHBk6/MQJUni3onR1scquYz9JyuobjCJa9/szLZrAcGCwWAkIc10Dx4b01SUEk6p85OSb3JKnS5MtgehXs68M28gMgm+25vDN7vst8phRHcfogPcqNPo+XFfbmcP55JAiFIOwsGcCsBUEmIrDudWcsXbW1m+JR2DEa4dGMrfj4znxuER7SpKCM6NXCYxKtqPl67ty+6npvDpwqFcNygMdycFeZUNLN2UxuTXNnPN0u18sSOLyjrbKveW8MdIn/Yr3dPqDfyQZPpwn9PMgPMLIUkSL8zqw7WDQtEbjDzwTRIbU4rafF3BpYPRaGSXuTX2sDaKUjnldeSU1yOXSQxpwwJBIBDYJ1UNWm7/dA8lNY30Cvbg3RsHNXFXZpfVoTMYcVHJCfaw3QZiV6CrOaVOR6WQ8cTlcay8YwShXs5kl9Vx/bJEXv8rFW07NbP5eFuG9d+jo33b3Lr+ij5BRJqFm7nDwokNPCWqJudXWRt42DPJ+VWU1WpwVcnPqvI4PVPKEQS2jqQjnFIWRkf7WQP5n/vliN0G6UuSxE3DTV0ov9yRJd4zHYAQpRyEw+abgS1EKaPRyBc7srh2aQLpxbUEuDvx0fwhvH7DALxcRPtie0AplzGhZwCvzenP7qen8N6Ng5gUF4DcHLz3zE+HGfrCeu79ai8bjhbapINfTrmpTW54O4pSG44WUVqrwd/diQk9/W1yTZlM4pXr+nFlv2C0eiN3fbmXbWb7tkBwMTJL68itqEcplxgU6dWma1ly//qGeuLqpLDB6AQCgb1gNBpZsuoAqYXVBLg78fGtQ3A74+/8RJHJzdzd39Vazicw0ZVFKQvDu/vyx0NjuXZgKAYjvP33CWa/n0C6jV3uSdnl7MuusD4e1aP1pXsWFHIZd4835VL9daSQVXeOZHzsqXnazHe32/3C3NJ1b0R337NK8UO9nJFJ0KA1UNSF34MtRW8wcqzQ9P6Ms3HnvfNxz/geXBYfiEZv4P5vkuy2PO7aQWE4K+UcK6xht9lRL2g/hCjlIFgyCuKC26Zi1zbqeHDlfp756TAavYEpvQL56+FxTIkPtMUwBe2AWilnRr9gViwYSuKTk3h6Ri/igtzR6A2sOVTA7Z/tYcRLG3jh9+Q2lfflVphEqVCv9suTspTuXTsoFEUbs3tORyGX8cYNA5gaH4hGZ2DR57ut7heB4EJsPW5qTzwk0gcXVduEJEur41Ht3CFVIBB0PB9uTWf90UJUChkf3TqEkHPcKy33YBFyfjaW6InSWg2NOvsNOW4rHmolr98wgHfmDcRDreBAjqkqwZZui88SMps8PjM/qbVcOyiUQA8nCqoa+Cu5gI9vHUIP/1PdmP/x3UGbbIK2F5aQ8zExZ/8+VAoZod6mv1lLZYDA5O6s1+pxUsjavfO2BUmSeHV2P0K9nMkqreOfP9pnvpSns5KZ/UMAWLlLBJ63N0KUcgCMRiMZxaaMgm5+rf/AyK+s5/plifx6IA+FTOLpGb34cP5g4Y5yIALc1Swa2521D43j9wfHcNvobvi6qiip0fDh1gwmv7aZGz5I5Of9uS3ubJFbbrpJW27atqa4upFN5kX79YPbXrp3Jkq5jHduHMj4WH8atAYWfrKLpGyxsyG4MFuOmSaxY2PbNqnXG4xWUWpiXECbxyUQCOyHPZll/HdtKgDPXhVPvzCvcx5ncUqJPKmz8XZR4qQwLTuKqrq+U+Wq/iH8+fA4Rkf70qA18PRPh7n9sz1tdoqV1Wr449Cp/Ex3tcJm0R5OCjl3jDV1Nl62OR1Jkli/ZLz1+dVJOdz5xV5qOyDIvaU0aPXWzcjzhb6fXsInMJGSbyrd6xnk3qHRLV4uKt6eZ8rj+/VAHqt222e+1A3DTOuVNYfzqbJTR1dXQYhSDkBhVSO1Gj1ymUREK0urDudWMuu97STnV+HrqmLVXSNYNLY7kiTs5Y5K7xBP/nVVPDv+OZkP5w9hSq8AZBLszChj8cr9jHhpA//+NZnjhdXNup6lfK+9nFK/HcxDbzDSP9yr3SbsTgo5H9wymFE9fKnV6FmwYpe1Vl4gOBOt3kBimkmUGhfTtnLS/SfLqazX4umsZKDoWCoQdBmqGrQ88M0+9AYjVw8I4cZhEec9Ns0sSvUQTqmzkCSJYE+TWyrP7Mzu6gR7OvPFbcN5ekYvVAoZf6cUMe3NLaxPLmz1Nb/fexLNaW6lEd19bSomWJrtZJTU8sfhfCRJ4onL46zP/51SxPXLEik4LWTdHtiTWU6jzkCgh9N555iWNVS2cEpZOVpgWiP0DOyY0r3TGRzpwz+mmvKlnv3lCKkFzVuvdCQDw72ICXCjQWvgV9Hlu10RopQDkF5imuRE+LigUrT8f1lCWglzPkiksKqRmAA3frpvNIMj295lSmAfKOUyLosP5KNbh7L9iUk8PCWWEE81FXVaVmzP4LI3tnD9sgR+SMo5r3uqUae31tiHtZNT6idz94prBoS0y/UtqJVyPrp1CIMjvalq0HHLx7vEBERwTvZlV1Cr0ePjqiK+jaXRf5sD9sfF+tu0NFUgEHQu//ktmfzKBiJ9XXjxmr7n3cwzGo2kFYvOexciyCxKFVTZl6DRnshkEovGdufX+8cQF+ROWa2GRZ/v4ZmfDrfY0W4wGPl6Z9MyotE2Lhd3dVJw68goAJZuTMNoNHLdoDAUpwlfyflVXPd+gtUZaA9Y8qTGRPuf929UOKXOJtUSct7GOVBruWtcd8bF+tOoM3Df10nUaezLhSdJkrUx07d26ubqKoiZswOQ24YA6k2pRSz8ZDd1Gj2jevjy/T2j2jXIWtC5BHs6s3hKDFsfn8QnC4YyNT4QuUxid2Y5S749wLAX1vN/vx45K3Qzv8I0QVQrZfi42r6cM624hgM5lchlElf2b19RCsBFpWDFrUOJC3KnuLqRmz/eSdElNAkWNA9LntSYaL82hxJvTDFda1KcbQL8BQJB57MxtYhv9+QgSfDq7P4XbGBQWNVITaMOuUwisoOyWRyNEE/TpldexaV3P+4Z5M7P949m0ZhuAHyxI4uZ725rkZs7Mb2UzNI6VKdtfJwrP6mtLBgVhYtKTnJ+FZuOFePv7sRl5uzZyXEBdPdzJbeinuuXJbDPTmIStp0w389jzi/SRZi7C2aXiY1KCylmd1KvoI53SoFJtH19Tn8C3J04UVTDc78c6ZRxXIhrBoWikEkcyKkU1RftiBClHACLgyXA3LmkuaxLLuSOz/fQqDMwOS6AFQuG4umsbI8hCuwMuUxiYlwAy+cPIeGJSfxjaiyhXs5UNej4ZHsmk17bzPwVu9hwtBC9wdgk5Lw9Sjp/NrukxsX44efWsvdxa/F0UfL5bcOI8HEhu6yO+St2UVkn6sEFp9hw1ORuGtvGSX1uRT3J+VVIUtvLAAUCgX1Qp9Hxzx8OAbBwVDeGdbuww9wSch7ZSlf7pYDFKZVfeWmU752Jk0LO01fG89ltw/Bzc+JYYQ0z393OZwmZzQp6/mpnFnBKXAlwd2qXUlFvV5W1TPX9jWkAzDU/3p1ZxheLhtM/zJPyOi03friTTalFNh9DSyir1XAkzyQWXCj03eKUyiiptctg7Y6mtlFnDX3v2UmiFICfmxNvzh2AJMG3e3L4xc7K5PzcnJjcy5QV+u3unE4eTddF3DUdAIvDI9Cj+Yv5xLRS7vs6Ca3eyBV9g3j/5sGolfL2GqLAjgn0UHP/pBi2PjaRz24bxpReAUgSbDlWzO2f7WH8qxt55ufDAIR6295FZzQa+XG/SZSaNTDU5te/EAEear68fTj+7k6kFFRz+2e7qdd03a4/guaTU15Hcn4VMgkm92pb99E/DuUDMCzKB98OEl0FAkH7snRjGvmVDYT7OPPotJ4XPd5SytRDlO6dl2BzZmW+neURdTTjY/1Z+9BYJvb0R6Mz8OwvR1j02R5Ka84fgl5eq2GdOYuqu7np0cgevu2WDbtobHeUcoldmWXszixjbLSfdXNzZ3opX98xgrExftRr9Sz6bA8/7uu8xXpCWglGI8QFuVu7PJ4LS6ZUdYOOCrFJyTFz5myAu1Onz11G9fDjgYnRADz94yG7y527YaiphO/HfTlduntoZyJEKQfglFPq/B+0p3M4t5I7Pt+DRmdganwgb88dKHbtBMhkEuNj/fno1qFseXQid43rjqezkpzyetLNORhbjhVzOLfSpq+7N6uck2X1uKrkTI0Psum1m0OErwuf3zYMD7WCPVnl3PPVXjQ6+21pLOgYLEGzQyJ92lyy+ttBkyg1o19wm8clEAg6n+zSOpZvTQfg6RnxOKsuvql3QoScX5Rgj0vbKXU6fm5OrFgwlGevikcll7EhpYjpb221lpWfye+H8tHqjcQHe1DdYMrduZh7ry0EeaqZPTgMgKUbTyCTScw1L8xX7jqJq5OCj28dytUDQtAZjDy86gAfbklvt/FciG3HTXlSF3JJATir5NYN/ixRwmct3etMl9TpPDA5hv5hnlQ16Hjk2wMYDPbjZhsX40+ghxPldVqry15gW4RS4QCUmHdOmlP2lFNex4JPdlHTqGNEdx/enjdQhO4KziLcx4Unr+jFjicn88p1/Zo8d+U727ju/QR+3p+LVt928eZHc+ne9D7BzZrYtwe9gj1YsWAoaqWMTanFPPq9fd3sBB3PX2ZRamrvtrmkcsrr2H+yAkmC6X06XnQVCAS2579rU9DoDIyJ9mNqfPM+IyzleyLk/PwEe5mDzi9xp5QFSZJYOLobP98/mpgAN4qrG7nl4128uOboWZtnlmYxM/oFk2TOcRrejqIUwF3jeiCTYGNqMcl5VVw/JByZBLsyyzhRVINKIeONOQO43ZyT9cKao7y45miHzq+MRiNbzaJUc/K1In1MLrMsEXZOSr6p5LFXJ4Wcn4lSLuONGwbgrJSTmF7Kiu0ZnT0kKwq5jOsGmUTaVSLwvF04f2KjwG6oaTTZBN3VF/7fVa/Rc+fneymp0RAf7MGH84eIkj3BBXFWyZkzNJzVSTnszCgDQCmX2JtVzt6scl7+I4VbR0Uxb2gEni4tzyPT6AxWF8k1HVy6dyZDonxYdvNgFn22h5/35xHs6dykzbHg0qGyTmt9v1/WzAXn+fjjUAFgKt1rrptVIBDYL0fzq/j9UD6SBM9cGd/s8qhTTikRcn4+gs1B5yU1Ghp1epwUYo4KJlHgl/vH8MKaZL7ckc3yLekkpJXw1tyB9PB3I7u0jj1Z5UiSKRepUWfA11XV7q68KD9XZvQL4dcDeby/OY135g1kUlwA648WsWp3Nk/NiEcmk3h6Ri/83Z14+Y8Ulm9Jp7RGw3+v69shm+JZpXXkVtSjlEvNEukifF3YlVlmzVK6lDlqdkrFXcQpVduoo6i6kYo6DRX1WtN/67RU1GmprNdSr9FTrzV9NWj11sdavQFLdJcRrDlecpmEWilHrZDjpJShVspxVsrxcVXh66oiOsCNQ7mV/Of3owyN8qF/uFc7/haaz5wh4SzdlMaW48XkV9ZbP88EtkGIUg6ApT2mq9P5b95Go5FHvz9Acn4Vfm4qPrp1CO5qEWouaB6WEtFVd46gm78r3+w8yRc7ssivbODlP1J4e8Nx5gwJZ+HoqBZ1FdqUWkRlvZYAdydG2rhtcWuY0DOAl6/rxz++O8CyzWmEejtzy4jIzh6WoIPZmFqE3mAkNtCtzV2yfj8kSvcEgq7EO38fB+CKvsHNLmupbtBa76MiU+r8eLsocVLIaNQZKKxstAZ2C0ybhP+Z1ZdxMf48tvogh3OruPLtbTw3M56iKtN7a3QPPzLNDp9h3XzaLU/qdO4Z34NfD+Tx+8E8HrkslrlDI1h/tIjVSbn8Y1pPnBRyJEni7vE98HNz4vHVB1mdlENto4635g1od+Fx6wmTS2pQhDcuqosva8PN2ak55Ze2KGU0Gkk1i1Jh3i4czKkgo6SWjJJa8irqKahqpKCynvzKBmu5aGdw9XvbCfRwYkikD8O6+TA62q/T3KhRfq4Mi/JhV2YZP+3L454JPTplHF0VIUo5ALVmp9SFPmw/2Z7JbwfzUcgklt40mBAvod4KmofRaLRa6QM91AS4q1k8JYa7J3Tnl/15fLwtg5SCaj5NyOSzxEymxgeyaGx3hkR6X3RC9LO5g8bM/iHIZe0/eWoOsweHkVdRz+vrjvHsz4cJ8lC32S0jcCz+Sja5m9qacZZRUsv+kxXIJJjeW5TuCQSOzomiatYcKkCS4MFJMc0+L7PEtMD1c1PhITYEz4skSQR7qsksrSOvsl6IUudgau8g+oV5seTb/SSklfL46kPW564eEMKvZvd5e5fuWYgP8WBiT382phbzwZY0nr+6D4EeThRWNbIuuZAr+4VYj509OAwPtYL7v97H2iMF3Pn5XpbdPLhdoxu2m0v3mttFN9zHtD7KKb/0cs00OgPHi6o5klvF+qOFVNabwt7nfJB40XNdVHK8XVR4uSjxdlHh6aLE20WJp7MSF5UCZ6UcZ5XJ8aRWylErZajkMjBP/SXzPyQJ9AYjjTo9DVoDDVrTf+s0OsrrNJTWaCip0XA0v8raGbywqpHfD+VbNwH7hHpw47BIrh8ShrKDI2quGRTKrswyftyXw93ju3eIMHypIEQpB8DqlDqPKJVSUMXLa1MAk9W8PYMPBV2P6kYd9VqT8Bnocar8yEkh5/oh4cweHMb2E6V8tC2dTanF/HmkkD+PFNI/zJPbx3bnij5B57Ro12v0/G0OA7yqf8hZz3cmD0yKJq+inpW7T/LAN0msvHMkA+zEHixoX2oadfydYnpfTmujkLR6r6nb0LhYfwI8ROmeQODofLkjG4ApvQJbFP6bYXavdPMTpXsXI9jTmczSOhF2fgGCPE2dg5dvTeflP1Ks33dzUrA301R6Pqxbx7nP75sYzcbUYr7fm8PiybHMGRLOO3+fYOWuk01EKTCJah8vGMKdn+9l87Fibv1kFx+3U/WG3mAkIa15IecWwqxOqa7//surqGd3Zhm7MsrYf7KCY4XVaPXnzvvyd3eim58r3XxdCfN2JshTTZCnmmBPNYEe6k6pvvk7pZDbPt0DwKgevsgkiZ0ZpRzOreKfPx5ixfYMlt08iOiAjgtqv6JvMM/+fIRjhTUk51fRO8Szw167qyNEKQdAbw4MlMvPVmMbtHoWf7Mfjc7A5LgA5o8UpUiCllFUZXJJeagV59zNkiSJMTF+jInx43hhNSu2Z7A6KZcDOZU8+M0+XvVx5s5xPbh+cFiTDLNNqUXUa/WEeTvTL8y+PrQlSeL5WX3Ir2xg87Fibv90Nz/cO6rNpVwC+2d9ciENWgPd/FzpE9r6cE+9wcjqJJMoZelQJBAIHJc6jc4qNLe0rDvD3ME2StxDLkqot9mpUtb1RYG2IJOZSuKO5FXxq9l1fs9XSYBJnOrIjmlDonysZUsfbU3n1lFRvLvxBNtOlJBVWnvW3GlsjD9f3D6MhZ/sZldGGTd/tJNPFw7Du42dbs/kYE4FVQ06PNQK+oV5NeucMPP7L6+iHr3BaDcufltQUNnAlmPFJKaXsiujzOo0Oh0PtYLeIZ4kppcC0N3PlZ/vH22XkS+T4gK5aXgEX+3MJqu0jj8fHodGZ+CHpByWbkrjRFENs5cl8vuDYwntoAohT2clk3sF8MfhAn7alytEKRsi2rI5EJaAuNN5c/1xUgur8XNz4r+z+wkboaDFFJqzCgKb4fSICXTnpWv7kfjEJJZcFouvq4qTZfU889Nhxvx3I0s3naCqwWQHtmbt9A22y/elUi7jvZsG0TvEg9JaDQs/3W21Mgu6LpbJ/VX9Q9r0vkxIKyG/sgFPZyVTeonyT4HA0fn9YD7VjToifV0Y00zXhQVLzk+UcEpdFEumz8lLPNOnuRSeo1NhTaOOYnOGWUdxz0RTfs7Xu7Jxc1JY/0bO14lsSJQP39w5Am8XJQdyKpm7fId1E9RWbDfnSY3q4ddscSnQQ41SLqEzGCm08Xg6Gq3ewI70Ul7+I4Xpb25hxEsbeGz1QX7cl0tuRT0yCfqGenLb6G4svWkQWx+byIFnp/LNnSO4eoDJ4TZ7SJhdClIW/nlFL8K8ncmtqOelNUfxcVWxaGx31i8ZT+8QDyrqtLy6NuXiF7IhlsZNP+/PsxpHBG1HiFIOgGXddKYmlVpQzUdb0wF46dq++Lk5dfDIBF2B0/OkmouvmxMPTo5h2+OT+L+ZvQn1cqakppFX1qYy+uW/+fevydaue1f0td8AaDcnBZ8sGEqIp5r04loe+GYfOr3h4icKHJKKOg1bjhcDcFUbg8m/NzsqZvYPEV1OBYIuwBrzRsp1g8KQtdA9kVFiEqW6C1HqolgyfU4Kp9RFKa1pZE+WqVxv+xOTmjx3xdtb2WguRe8IJsT6Ex/sQZ1Gz6cJmcwbFgHAd3tz0J5n3tQn1JNv7xpJgLsTqYXVzPkg0aYB41vNeVKjm5knBabOb5bc3ZNljieMNmj1rE8uZMmq/Qx6fh1zl+9g2eY0UgqqkSToH+7FA5Oi+fy2YRx8bhq/PjCGf10VzxV9gwn3cbFuxqXkm0LOewW13jHeEbg6KXjlun4AfLUz2ypE+riq+PfVfQCskQwdxYSeAXi5KCmqbrSWjwrajhClHABLONzpGAxG/vnjIXQGI9N6B4qgZkGrKaxuuShlwVkl59ZRUWx6dAKvXd+f6AA3qht0rNieYT3G392+xdIADzXL5w/BWSlny7FiXlzTsTsugo5j7eECtHojcUHuxAS2vvShqkHL2sOmsPTrh4jSPYHA0ams17LNvNi5om/Ls+YsopRwSl2ccB9zpk+F4wkCHU1CWikGI8QFuRPsocbT+ZSjpczs8H7h92Q0uvbfTJMkiXvNbqlPEzIZ1cMXX1cVxdWNFxQFYgLd+f7uUYR5m7LE5ixLJL24ps3jqdPoSMouB2BsC52NlhI+R8mVatDq+etIAQ+t3MeQ/6xn0ed7+GFfLtUNOnxcVcwaEMKbNwxgz1NT+Pm+0TwytSfjYv1xczp3Sk+jTk+a+f9BR5aBtpZR0X7cPMIkgj72/UFqGk1ZyyFepnVLrUaPoQMdSyqFjCvNG5s/JuV22Ot2dYQo5QAozFlSmtN2In7an8verHJcVXKem9m7s4Ym6AIUWcv3Wi8eKeUyrhscxl8PjeODWwY3eW7Cq5t49ufDdm2T7hPqyetz+gOwYnsGK3dld/KIBO3BrwdPle61hR/25tCoM9Az0J2+oSJPQCBwdDYfK0arNxId4Nbi0NzyWo219FtkSl0cS/leXkWDcCZfhNNDvFMLq6ms1+KikpP872ksGBUFwIdbM7j+g0SyS9tf5Lu8TzDd/FyprNfy/d4cZps3ZS42Z4rwdeG7u0fS3d+VvMoG5nyQSEpBVZvGsjO9DK3eSKiXM5Et7OIY5mX/YedGo5G9WWU8+cMhhr6wnju/2MtP+/OoadQR5KFm4egovrt7JLufmsKbcwcya2Aovs2smEkrqkVnMOKhVhDs6RhNWp68vGkZH0BSVgUAkT4uLXa3thVLCd/aIwXWhmSCtiFEKQfA3ax015qV4Uadntf+OgbAfZOiCfbsmHA3QdfEIha1xil1JjKZxPhYf1zMgelqpQyN3sBniVmMfWUj//frEYqq7VOcurxvMEsuiwXgmZ8Ps9McAinoGhRVN5CYZvp/OrMNopTRaOSLHVkA3Dwiwi7z0gQCQcuwfN6Pj/Vv8bnpZpdUsKf6nM1CBE0JcHdCJZehNxjJP0dekuAUCeZ71uhoX3abu+4NjvTGRaXguZm9+eCWwXioFRw4WcGMt7fyuzk2ob2QyyTuGtcdgA+3pnPdIJMotflYMXnnCNU+nWBPZ769ayS9gj0oqdEwb/kOkvNaL0xZSvfGxvi1+D58yillf269nPI63tlwnEmvbea69xP5Zlc21Q06gj3V3D6mG6vvGUXCE5N49qreDI3yaVVQe2qh6fceF+zhMHMYVycFr8w+Vca37XgJy80RNtP6tK2TcmsYFOFNhI8LdRo9fx0p7PDX74oIUcoBcDWLUjUNJlHqyx3Z5FbUE+jhxMJR3TpzaIIuQIFVlLJNmd2m1GLqNKaue0f/PZ2vFw1naJQ3Gp2BT7ZnMu6Vjfznt+QOD+lsDg9MimZGv2C0eiP3fJV00UmWwHH4eV8eBiMMjPCylo+0hoS0UtKKa3FVyblmkCjdEwi6AjszTAv+4d18WnxuZonovNcSZDLJ2oFPhJ2fn9yKerJK65DLJIZG+bA3y1SqNjTq1Ht0Wu8g1iwey+BIb6obddz3dRJP/XiIBq2+3cZ1zaBQgjzUFFY1kpRVzojuPhiM8O2ecween46fmxMr7xhBvzBPyuu03PjRDg7nVrZqHNtOmPIhx7QgT8pCmI99vf8atHp+SMph3vIdjPnvRl5bd4yMklpcVHKuGxTG13cMZ/vjk3jmyngGR3q32RV0Kk/K/kv3TmdUDz9rZ9SbP97JgZMVuKjk3Da649fCkiQxy+yW+mGfKOGzBUKUcgDc1GZRqlFHvUbPextPAPDQlFixKydoM5byvQAbOKUA1h817RhM6x2EJEmMivbj27tG8sXtwxgY4UWD1sBH2zIY/+pG3lx/zOoAtAckSeJ/s/vTO8SDsloN932d1CFZDYL2xWg08t1e04R59uC2CUmfJ2YCcO2gsPPmNQgEAsehsl7LiSJTvsrpC/7mYsmT6uYvRKnmYnWqiLDz87I/uwKA+GAP3NVKqyg1KMK7yXFh3i6svHME904w5T19tTObWe9tt76nbY2TQs6isSYR4IMt6cwZEg7At7tPNqsTmaeLki9uH86AcC8q6rTc+OEODpysaNEYCqsaOFZYgyTB6B4tF6UsJaSdXb53oqia//v1CMNf3MCSbw+QmF6KJMGoHr68dn1/dj81hdfm9GdUDz+blqcdLTCJUj3tPOT8XDxxeVyTx0sui+207FpLCd/2EyWU1tjfRrujIUQpB8Cy8Klq0PH93pOU1WoI83bm+jYurgQCgNJa0wepvw26N+oNRms3mMm9AqzflySJsTH+/HDPKD5dOJT+YZ7UafS8uf4441/dxJc7ss7bvaWjcVbJef8mkyV+X3YFL5pr1wWOy8GcSo4V1uCkkHFlv9aX7uVV1LMu2SS63jIy0lbDEwgEnYhl8R7sqcbbVdXi8zNKzaKUcEo1G4tb1V6cKvbIwZwKAPqFeVJY1UBOeT0yCfqHn51jqJTLeGx6HJ/fNgw/NxUpBdVc9c42a5dYWzNvWAReLkoySmoxGsHLRUleZYO1u+3F8HRW8sXtwxgc6U1Vg46bP9ppFd2awzZz6V6fEM9W/c2GmUWp/MqOzzVr1On5eX8ucz5IZMrrW/hkeyaV9VrCvJ155LJYtj0+ia/vGMF1g8OslTK2xlI2GR/ieKJUeZ2myeOBZ4i0HUk3P1f6hHqgNxhZe6Sg08bRVRCilANgUYALKuv5cKupq9kdY7ujkIv/fYK2Ua/R06A13ZBbc2M/k/0nKyit1eCuVpxzx1mSJCb0DOCn+0bz3o2DiPR1oaSmkad/Osy0N7fw55ECjMaO66BxPiJ8XXjjhgGAqcvMz/uFNdeRsUzMp/UOatK9qKV8vTMbgxFGdPchtg3d+wQCgf1wosjkGogOcGvV+Zmi816LsRenij1zMMdU1tYvzJMks2DTM8jkmjof42L9WbN4LKOjfanX6vnHdwdYsmq/tVuZrXB1UliD1j/almF1jLSkSYy7Wslntw1jWJQP1Y065n+805qbdTEsnTJbU7oHplwzpVxCbzBaIyzam4ySWl5cc5QRL25g8cr97MooQy6TmBofyKcLh7Ll0Yk8MDmGUK/2zQkuqm6gpKYRmQQ9HWwek1Nex00f7WzyvX/+cKhTN7UtG52/HWjfPLdLAaFqOABB5rKqL3ZkkV1Wh5eLUrQhF9gEi0tKpZDhaoNS0A3m0r0JPQNQXkA0lSSJGf2CWffweJ67Kh4fVxXpxbXc9cVe5i7f0eauLLZgcq9A7p8YDcATqw9xrLC6k0ckaA0NWr1VVGzL52a9Rs/X5gn3/JFRthiaQCCwA7LLTG6d1mRCGY3GU+V7QpRqNuGWTJ8y4ZQ6F0ajkcN5JlGqb6gXSdmW0j2vi54b4K7m89uG84+pscgkU97NVe9s40he67KbzseCUVG4qOQcza+yrlM2HC1qUV6om5OCT28bysjuvtRq9Ny6Yhc7LtJkxmg0WkWpsdGtE6VkMskq/pxsxxJSnd7AH4fyufHDHUz83yaWb0mnvE5LsKeah6fEsv3xSSyfP4QJPQM6rHvcUXOeVDc/V4eKgMkqreWGD3aQVVpHuI8zvz84Bh9XFamF1Szfkt5p45rRNxiAnRmldtvIyVEQopQDEGRu11lozv6ZNywCF5XIMhG0nfJaUxtrHxeVTTpwbDhqKt2bclrp3oVQKWQsGN2NzY9O4P6J0aiVMnZmlDHj7W0898sRa5vtzuLhy2KtO44PfL2vXcNDBe3DuuRCqhp0hHiqGdWK7AkL3yflWEunp8YH2nCEAoGgMykz3wf9WlHCXlzdSJ1Gj0yCiDY0ULjUsDilRPneuSmuaaS6QYdMgh4BrtbStsGRzStVkssk7p8Uw8o7RxLsqSajpJZrlibweWKmzdzoXi4qbhwWAZjmfv3DvdAZjPzUwtBnF5WCFQuGMjbGjzqNngWf7CLBLDqdi9TCaoqrG1ErZQyOan3plqWEtD068JXVali66QTjXtnIPV8lkZBmyoqaFBfAR/OHsPWxiSyeEmNd33Ukp0r3zi4DtVeSssu57v0Ecivq6e7nynd3jaJ3iCfPXNkLgLc2HLduDnQ04T4u9A/3wmCEtYdFCV9bEKKUAxB4RgD1DeZQQYGgrVicUj42KN07WVZHamE1cpnEhNjmiVIW3NVK/jGtJ+uXjOfyPkHoDUY+Tchk0v828e3ukxiaEZ7ZHshlEm/NHYifmxOphdW8/EdKp4xD0Hq+M5fuXTsorFWtk8GUlfaRufXwojHdROm0QNCFKK81ZZT4uLa8tDfdvBAK9XZGpRCfC83FIggUVjWKzZ5zkFliEkpCvJwxGuFwrklIaK4oZWFYNx/WPDiWKb0C0OgM/OvnI9zzZZLNNvwWje2OUi6xK7OMHuag/1V7TrZY+HJWyflw/hDGx/rToDWw8NPdbDl27nwqS57UsG6+OCla7/Sxhu3bsIQ0Oa+Kx78/yMiXNvDK2lTyKhvwdVVx/8Rotj42kRULhjIlPrBT5xDJ+WZRKtgx8qR+PZDH3OU7KKnREB/swcq7RljFvFkDQhkb44dGZ+CfPxzqtPiPq/qZ3FKihK9tiDuoA2D54ARTu2KRWyCwFZbAQFuIUpbSvSGR3ni6tC63J8zbhfdvHswXtw+jh78rpbUaHlt9kOs/SLTmfnQ0fm5O/O/6foApX+rvlMJOGYeg5eRW1LPNHLzalq57fx0pIKvUVDo9Z6jYFBAIuhL1ZlHEuRUO9Exr6V7r8qguVbxdlNYmPiJX6mwyTysJPZJXiUZvwNdV1So3nrerig/nD+GZK+NRyiXWHingire2WksC20KQp5rrBpnurTll9aiVMk4U1ZBk7hzYEtRKOR/cMphJcQE06gws+nwPG1OLzjpu6/G2le5ZCLNRrpmlRG/OB4lc8fZWVu05SaPOQJ9QD167vj/bn5jEP6b1tL5eZ5NsLuO095BzvcHI63+l8sA3+9DoDEzpFch3d48kwP2UUUOSJF6Y1Re1UkZiemm7BftfjCvMJXy7s8ooqBQlfK1FiFIOwOk5BZObWRYlEDSH0hqTKGWLkHPLRGFiXNvfo2Nj/Plj8TieuqIXrio5e7PKueKtbby94TgaXccHGk7oGcDC0VEAPPrdQVE37iCs3GUKJh/Z3bfVYr7RaOQDc17BLSMiRem0QNDFsFSut2aX3Zon5WsfC05HQZIkIs2/s8xOKruxZywlZRE+LiRlVQAwKNK71TELkiRx+5hurL5nFBE+LuRW1DNnWSIfbE5rsxP9rvE9kEmwK7OM7mZx9tvdJ1t1LbVSzrKbB3NZfCAanYG7vtjbxDHVqNOzM8OUOdXakHMLlg3/1paQltdqeH9TmrVEzxJcfmW/YFbfM5Jf7x/DdYPDUCvtJ7epXqO3fmb1CrbfkPPyWg0LP93N23+fAOD2Md344JbB5+xGGOHrwsNTYgF4Yc1RSmqan2lmK0K8nBkc6Y3RCGsOCbdUaxGilANwemhgd7EbJ7AhFqeUbxtFKa3ewM4MU9eUMW3cvbKgUsi4Y1x3/loynok9/dHoDby+7hgz393G/pMVNnmNlvD49DjigtxN7q3vD9pFl0DB+dHqDaw0T4xvGhHR6uvszixn/8kKVAqZCDgXCLogMvNC39CKz/TMUtF5r7VYfmeW36HgFCXmklJ/d6cW50ldiH5hXvz24Bhm9AtGZzDy0h8p3PbZbkrbsJDv5udqdYpY5pS/HcyjtpUd/1QKGUtvGsRUszB1x+d72G7OmNqbVU6D1oCfmxNxQW0TVULMQef5lS1zSllK9Ea8tIH/rk1pUqK37fGJvHvjIAZH+tgkp9XWpBZWYzCaKgBOdxzZE4dyKrnynW1sOVaMWinjjRv688yV8ReMX7h9TDfigz2oqNN2WszGlZYSvoN5nfL6XQEhSjkAfx05VS5kyQASCGxBmXni4+3SNlHqYE4FNY06vF2UNq9TD/VyZsWCobw1dwA+ripSCqq5dul2Xlmb0qGuKbVSztvzBqJSyNiUWtxpNmFB81iXXEhxdSN+bk5MjQ9q9XWWbU4D4LpBYfi7tzwIWSAQ2DeezqZy84q6lufsZJs7d0UKp1SLiTL/zjoroNieKas5tWG419p5r+2iFICHWsm78wby4jV9cTLPZ654eyuJaRfuench7pnQA4CCqgZkEtRq9PzeBseIUi7j3RsHMdlcynf7Z7vZkV5qzZMaE+3bZtEn2JxLVFDZcFG3mKVE74YzSvR6h3jwv9NK9II9nS94nc7mVMi5fZburdyVzXXLTIHmkb4u/HjvaK4ZePHoBYVcxn+u6QPA93tz2JNZ1t5DPYsr+gYjSZCUXUFuhShJbg1ClHIATq+pTikQbekFtsMyCfdqZQaUhW3HTZOZUT382qWtrSRJXD0glPVLxnPNwFAMRli6KY3r3k/gRFGNzV/vfMQGurPkMpNN+PnfkimsEmV89sqXO7IAuGFoWKsDiA/mVPB3ShEyCe4c192WwxMIBHaCRWxuSSt7MJX7nSw7VWYlaBlRvsIpdT4sG9B1Gj3F1Y0oZBL9wmzXLU2SJG4cHsHP94+mh78rhVWN3PTRDt5cfwx9K8r5eod4MqGnP0YjWE5vbQmfBZVCxtKbBzGhpyn8/LZPd7N0k2mTaEyMf5uuDaYmUpIEWr2RkvNs+FfUaVi2OY3xr27inq+S2Gku0ZvRL5jv7x7Jbw+MYbadlehdiOR8c56UnYWc12l0PPrdAZ744ZA1P+qX+8fQqwXjHBThbW0E9szPR9DpOzbqI9BDzbAoHwB+F26pViFEKTunUadvEkZ4KKeyE0cj6GrUmO3V7uq25eRsTzPtXo2K9m3zmC6Ej6uKN24YwPs3DcLLRcmh3EqufGcrX+7I6rByukVjutE/zJOqBh1P/dh53T4E5yetuMbagnnesNaX7r29wZRnMGtAaJNsP4FA0HWwdDhuaeBxeZ3Weg+1lxBjR8LymWrpNCc4RZ3GFL6fWmjaiO4d4tEuwkdckAe/PjCG6weHYTDCm+uPc9NHO1q14XbvhOgmj/dklbd509BJYcqYGhvjZ/2dgG1iIpRyGQFmQTq/ounPm1JQxZM/mEr0Xv4jhdyKenxcVdw3sQfbHp/IezcOYkiUfZboXQiLU8qe8qRSCqqY+e52vtubg0yCR6f1ZPktg60O1pbw2PSeeDorOZpfZd2Y7EhmmEv41h4u6PDX7goIUcrOOZhTSYP2lNp7OK+yw9VfQdfFUvN/rvDAllxjn1k4tVWe1MW4vG8waxePY0y0Hw1aA0//dJg7Pt9LZSvKL1qKQi7jldn9Ucol1h8t4pcDYkfE3vh6ZzYAE3sGtHqxeDi3kvVHC5FJcP+k6IufIBAIHJKegaYFmkUAaC5ZZodPkIfaYZwS9oQlUyqvsp4Grf4iR19aaM3z/KP5pvfkgHCvdnstF5WCV6/vzxs39MdFJWdHehlXvLWVTefofHchhnXzYcgZuVff7WmbWwpM0Qkfzh/S5Hu2ajZjKbfLr6xHbzDy55EC5i3fwfQ3t/LNrpM0aA3EB3vw6ux+JDwxiUenxdl9id75MBiM1mqb3nZQvmc0Gvl6ZzZXv7udE0U1BLg78dWiEdw3MbrVFRe+bk48Oq0nAK/9dazF7te2YomKSMquEJUUrcDhRKn33nuPqKgo1Go1w4cPZ9euXRc8/rvvviMuLg61Wk3fvn1Zs2ZNk+d/+OEHpk6diq+vqT55//797Tj6lrPLHB59eZ8g3J0UNGgNHCvsuHIlQdfGssvr1gZRKim7HK3eSKiXc4eWMAR5qvn8tmE8c2U8KrmM9UcLufLdrRzObX83Yc8gdx6YFAPA//2aTIU53FPQ+TRo9da8r5vbEHD+9objAMzsH0J3f9FgQiDoqsSZXQOZpbVUNTR/YyNblO61CV9XFe5OCoxGrGWQAhNavcmBfTTf5GzpF+bV7q95zcAwfntgDPHBHpTWaljwyW5e+uOoVSBrDvdO7NHk8eqk3Badfz7USjmzBoRYHy/4ZDdpxW1fC4V4mVyS//drMuNf3chdX+wlMb3UVKLXN5hv7xrJ7w+O4foh4Q4vPGeV1VGn0aNWyujWyU2zqhq03P/NPv754yEadQYm9PTnj8VjGdmj7dUW84ZF0C/Mk+pGHS/9cdQGo20+QZ5qq4D8V3LhhQ8WnIVDiVKrVq1iyZIlPPvssyQlJdG/f3+mTZtGUdG51fyEhATmzZvH7bffzr59+5g1axazZs3i8OHD1mNqa2sZM2YM//3vfzvqx2gRR/JMC+xBEd70CTXVk3dG5zFB16S20bQ72SZRytyueEhU69sVtxaZzNTm+Id7RxHm7czJsnqufT+Blbuy272s7p4JPYgNdKOsVsNrfx1r19cSNJ/fDuZTWa8l1MuZ8bEBrbpGcl4VfyUXIgmXlEDQ5fFzc6KbnytGI+xoQdizRUgJF6JUq5AkyeqWEmHnTdEZmgo5/dvRKXU63f3d+OHeUcwfGQnAB5vTmfNBYrNFw4k9A5p0xSupaWRjSsscV+fCaDSyJ+tUlElZrYZbPtrZ4s55p3M4t5I1h0xlVvmVDeSU1+PlouSeCT3Y8thE3rtpEMO6OV6J3vmwlO71DPK4YCe79ubAyQqufHsbvx/MRyGT+OcVcay4dSi+brZpJCOXSTx/dR8kCX5IyrWaOzqK6X1Mbqm/jogSvpbiUKLU66+/zh133MHChQuJj49n2bJluLi4sGLFinMe/9ZbbzF9+nQeffRRevXqxfPPP8+gQYN49913rcfccsst/Otf/2LKlCkd9WO0CIt1Ny7YnaHdTAFqO9Jb3yFDIDidavOucFvK9yydYWzRrri19An15PcHxjI5LgCNzsATPxzise8P0qhrv5IApVzG/800dfv4cmdWhzi0BBfGaDTyyfYMAG4cHtHqiZfFJXVlvxCiA+wne0EgELQPY2NMpedbjhc3+5ysUtNCXXTeaz0WUUqEnTfFSXHKlePupKB7B2YaqpVy/n11H5bdPAh3tYJ92RXMeHtrs3JyJEmyduKz8K0NSviySuvIKa9HKZfY+thEuvu5klfZwC0f76K8tvlO9TqNjlW7s7n63W1c+c62Js/997q+7HhyMo9PjyPUyzFL9C5EZ4ecGwxGPtySzuxlCWSX1RHm7cx3d4/kznE9bN4gqX+4F3OHmpzy//r5cIfG3kzrbRKlEtNKOyRSpCvhMKKURqNh7969TcQjmUzGlClTSExMPOc5iYmJZ4lN06ZNO+/xzaWxsZGqqqomX+1BnUZnvVH3CvZglNnWmJBWKsKVBW3GaDRSaw6ObG3QucFgZF+WbdsVtxZPFyUfzh/Co9N6IpPgu7053PzRTkpr2q+mfGQPX2b2D8FohGd+PnzRtsKC9mVXRhlH8qpwUsi4sZUB50fyKll7pABJggeFS0oguCSY2NPkqlx7uKDZ5UaifK/tdDMLehki7LwJzqeVivUJ9WyXrsYXY3qfYNY8OJYB4V5UNei4+8u9PPvz4Yvmf83oG9zkb2JjajFFbczX2XrC1ExnYIQ34T4ufLFoOEEeak4U1bDg093WfNTzkVJQxb9+PszwFzbw+OpDHMipRCmXUMpNv9dBEV7cMDTC4Uv0LoTFKRXfCSHnhVUN3PrJLl5YcxSt3sjlfYL4/cGxDGzHdcNj03ri5aIkpaCar3dlt9vrnEk3P1diA93QGYxsSBElfC3BYUSpkpIS9Ho9gYGBTb4fGBhIQcG51fuCgoIWHd9cXnrpJTw9Pa1f4eHhbbre+UgvrsVoNNXd+7k5MTDCCyeFjJKaxjZ3tBAIGrQGa+vf1jqljhfVUN2ow0Ulb2LZ7ixkMon7Jkbz6cJhuKsV7M4sZ9bS7RxvYYBtS3hqRi9cVXL2ZVfwfVJOu72O4OJ8sj0TgGsHheHtqmrVNV79MxWAq/qFEBPY+e9pgUDQ/oyJ8cPPzYmSGg2bU5vnlhLle20n0tfSgU84pU5HrTy1POsX7tlp4wj3ceG7u0dy1/juAHyWmMW1SxNIZAm0FAABAABJREFUv0Cek0Iu4+7xp9xSeoOxzXOjbWYH41hzM51QL2e+uH0YXi5KDpys4N6vks5yw1Q3aPl290muez+B6W9u5fPELKobdUT6uvDE5XEkPjmZb+8aCZjK97o6yeZ8svgODjn/80gB09/cwtbjJaiVMv4zqw9LbxrUqu56LcHbVcUjU02h56+vO9ahriWLW+pPUcLXIhxGlLInnnzySSorK61fJ0+23Zp6LvIqTLXSYd4mG6mTQs7QKFMJ33bzroFA0FpO3+1ybuXuUJK5dK9/mBcKuf18nIyL9efHe0cR4eNiyplamsCWY80vy2gJgR5qFk8xhZ6/9lcq9RrRRagzOFlWx1/JpgnAwtFRrbrGjvRSNqUWo5BJPDI11oajEwgE9oxSLuOagaYg5c8SMy96fKNOT77Z/SHK91qPKN87N+7qUwv2/h0Qcn4hlHIZT17ei08WDsXHVUVyfhVXvbONH/edX2i6bnAoAe6nMoK+25PT6goPnd5AgjnrbUzMqQ7PMYHufLJgKGqljM3Hinnu1yPoDUa2HS/hoZX7GPrCeh5bfZC9WeUoZBKX9wniy9uHs/GRCdw9vgd+bk6EmMv0CqsaunRn89KaRgqrGpEkU6ZUR1Cn0fHkD4e464u9lNdp6R3iwW8PjOXmEZEdltM1b2g4sYFuVNRpeXNDx2W/WkSpzceKxZqgBdjPKvIi+Pn5IZfLKSxsaoUrLCwkKCjonOcEBQW16Pjm4uTkhIeHR5Ov9iDXLEqFnFbbbMk92GCD4EDBpY2lREGSaHX2zsGcCgAGRHjZaFS2IzrAnZ/uG82wKB+qG3Xc9uluft6f2y6vdeuoKMK8nSmsamSFOdNI0LF8lpCJwWj6jIxthcPJaDTy37UpgKl7i2UHXyAQXBrMHxmFXCax9XgJBy7SUCanvB6jEVxUcnxb6coUmEpdwORUEYu3U5zuIukX1nlOqdOZ2DOAPxaPZUR3H2o1eh5edYAHvtl3TgeKk0LOorHdrI8zSmrZnVl+1nHN4WBuJdUNOjzUirO6EA6M8ObNGwYC8OWObHr8cw03f7yTn/bn0aA10MPflcem9yThiUm8f/NgxsT4NSmF9HNzQiGTMBihqLr9oh46G0s+cZSva5saGzWXQzmVXPn2Nr7ZlY0kwV3ju/PjvaOJDujYrn8KuYxnrowH4IvErA6rMuod4kGolzMNWgOb22lDvCviMKKUSqVi8ODBbNiwwfo9g8HAhg0bGDly5DnPGTlyZJPjAdatW3fe4+0Ni530dFFq6ukBavUiQE3QerTm0j1lGxxOlhtdZwUnXgwfVxVfLBrGzP4h6AxGHlq1n88SMm3+Ok4KOf8w24SXbUqjrAXBm4K2U9OoY5U5TPW20d0ucvS5WZdcyL7sCpyVch6YLLKkBI7He++9R1RUFGq1muHDh7Nr164LHv/dd98RFxeHWq2mb9++rFmzpsnzRqORf/3rXwQHB+Ps7MyUKVM4fvx4k2PKysq46aab8PDwwMvLi9tvv52amqYT/4MHDzJ27FjUajXh4eG88sortvmBbUy4jwuzBoQC8N+1KRd0dpyeJ9VVunN1Bt4uSjzMmZZZZcItZaHktCxMewrdDvRQ89WiETw8JRa5TOLXA3lMe3ML246fXb1x4/DIJuLaqt2tqyqxXHtUD78mG6iV9Vq+2pnFB1vSzjrn5hER/HTfaNYvGc+9E6IJ8FCf89pymUSg+bm2dPKzdywh573aOU9KbzDy/qY0rlm6nfSSWoI81Hx1+3CevLwXKkXnSA5jY/yZHBeAzmDkxTVHO+Q1JUmyuqVEF77m4zCiFMCSJUv48MMP+eyzzzh69Cj33HMPtbW1LFy4EID58+fz5JNPWo9fvHgxa9eu5bXXXiMlJYXnnnuOPXv2cP/991uPKSsrY//+/SQnJwOQmprK/v3725w7ZQsq6kwLW5/TduG6+bkSHWAKUNuUKtxSgtZjsSorW+mS0huMpBaYRKledipKgUkwevOGAdw6MhKjEZ795QhvrDtm82YBM/uH0DvEg+pGHe/+fcKm1xZcmNV7c6hu0NHdz5Xxsf4tPl9vMFqzpG4f040A93NPYAUCe2XVqlUsWbKEZ599lqSkJPr378+0adMoKjr3PCEhIYF58+Zx++23s2/fPmbNmsWsWbM4fPiw9ZhXXnmFt99+m2XLlrFz505cXV2ZNm0aDQ2n8lduuukmjhw5wrp16/jtt9/YsmULd955p/X5qqoqpk6dSmRkJHv37uXVV1/lueeeY/ny5e33y2gDiyfHoFLISEgrtbaLPxcnRci5TZAkie7+JvdEerEQpSwUnJZxZG+ip1wmsXhKDKvvGUU3P1cKqhq4+eOd/N+vR5rEQrg5Kbh1ZKT18e+H8qwdn1uCRZQaE+NHg1bP2sP53PPlXoa+sJ6nfjzMvuyKJmKVXCYxd2gEA8K9mvW7C/Ey3e/zKrpurtSpkPP2m6vnVdRz00c7+O/aFHQGI9N7B/HH4rGMiva7+MntzD9n9EIhk/g7pajDnEvT+5hEqfVHC5vdPONSx6FEqRtuuIH//e9//Otf/2LAgAHs37+ftWvXWsPMs7Ozyc/Ptx4/atQovv76a5YvX07//v35/vvv+emnn+jTp4/1mF9++YWBAwcyY8YMAObOncvAgQNZtmxZx/5w56C6wdRNwuOMzmhT400/719HRKq/oPVo9SZRprVZUFmltdRr9aiVMqsF316RySSem9mbh8zZT29tOM6/f0u2qTAlk0k8cXkcAF/syOzSu272hMFg5FOz+23h6KhWdSn6ISmH40U1eLkoudMc6CoQOBKvv/46d9xxBwsXLiQ+Pp5ly5bh4uLCihUrznn8W2+9xfTp03n00Ufp1asXzz//PIMGDeLdd98FTC6pN998k6effpqrr76afv368fnnn5OXl8dPP/0EwNGjR1m7di0fffQRw4cPZ8yYMbzzzjusXLmSvLw8AL766is0Gg0rVqygd+/ezJ07lwcffJDXX3+9Q34vLSXC18Ua0vzcr0fO2701u1SIUrbCUtIjGvicwhEqIQaEe/H7g2O4eYSp0+0n2zO56p1tHM6ttB6zYHQ3a2h7g9bAbwfzz3mt81HTqGNPVhkAvx7IY+gL67n7yyT+OFyARmegZ6A7T13Ri8QnJ3HihcsZF+uP3mDk7i/3Ut5Mx3qwp8mJ1pXnbO0dcr7mUD6Xv7WVHelluKjkvHJdP96/eVCrG87Ymh7+bswfGQXAf35L7pD8sMGR3vi5qahq0LEro6zdX68r4FCiFMD9999PVlYWjY2N7Ny5k+HDh1uf27RpE59++mmT46+//npSU1NpbGzk8OHDXHHFFU2eX7BgAUaj8ayv5557rgN+mgtTY25x6naGKGWxBP6dUmQ9RiBoKTqD2Sklb90unKV0r2ege6szqToSSZJ4aEos/766N2CaQNlamBob48/wbj5o9UY+2Jxus+sKzs+mY0VklNTirlZw7aCwFp/foNXz5npTSdK9E3rgoW7fjjACga3RaDTs3buXKVOmWL8nk8mYMmUKiYmJ5zwnMTGxyfEA06ZNsx6fkZFBQUFBk2M8PT0ZPny49ZjExES8vLwYMmSI9ZgpU6Ygk8nYuXOn9Zhx48ahUqmavE5qairl5efOmGlsbKSqqqrJV0dy74QeRAe4UVzdyOOrD57zHpFlcUqJkPM208NfiFJnUndavpZGZ78uCxeVgv/M6ssnC4fi7+7E8aIarlm6nfc2nkCnN+DjqmLesAjr8c0t4TMajRzMqeCqd7ZhTppgZ0YZ1Q06QjzV3DW+O2seHMvah8Zyx7juBLirUchlvDN3IJG+LuSU1/Pgyn3WDtMXIriLO6UatHrSzC7E+GDb5pPVNOp49LsD3PtVEpX1WvqHefL7g2OZMzTc7hx+iyfH4O2i5HhRDV/vym7315PLJCb2DABgw1FR2dQcHE6UupSoNQtOzsqmolS/ME+6+7lSr9Wz9nDnlxkKHBOdxSkla93HQEqBaaFgz6V752L+yCheurYvYBKmnv/tqE2FqQcnm9xY3+zKpqjavic5BoOR6gYtBZUNnCiq5lBOJfuyy9mdWUZiWinbjpewMbWI9cmF/HmkgPXJhWxMLWLLsWK2nyhhR3opuzPL2JtVzoGTFaQWVJNdWkdRdQPVDdoOsSxbxL95wyJwbUWA58fbMsitqCfYU23dSRMIHImSkhL0er3VNW4hMDDwvFEEBQUFFzze8t+LHRMQENDkeYVCgY+PT5NjznWN01/jTF566SU8PT2tX+Hh4ef+wdsJtVLO23MHopLLWH+06Jzl2KJ8z3YIp1RTqhu0TTacHaEz4cSeAfz50Dim9w5CqzeVw1/3fgKpBdXcMfaU+3j/yQqOFVaf9zoZJbW8uf4Yk1/bzMx3t5NRcupnv3F4BKvuHMG2xyfx5OW9iA/xOEv48HRRsuzmwTgr5Ww9XsLr61IvOvaQLu6UOl5Yg95gxMdVRaCH08VPaCZ7s8qZ8fZWvtubgyTBfRN78L25pNMe8XRRsuQyU1fl19cd6xA34uReZlEqpdDmkSFdkfaP4Be0GsuH7ZlisyRJXDMwlNfWHePHfTnMHtxyd4BAYPl8bO1mhiX/oaO7adgCy87dkz8cYsX2DCQJnp7RyyY7O6N6+DIowouk7Ao+3JLOUzPi23zNlqDTG8ivbCC7rI68inpKajSU1DRSUtNIcbXpv5X1WmoadNR2QLcjhUzCWSlHrZLjrDR9uakVuKsVuKtNIbfuaiXuagUeagUezkrrc+5qBZ7OSrxdVKiV8rOuvS+7nJ0ZZSjlEgtHR7V4bEXVDSzdaFpwPja95zlfQyAQdCxPPvkkS5YssT6uqqrqcGEqPsSDZ2fG89SPh3lt3TFTCPpAUwi60WhsEnQuaBuWOUR6SQ0Gg7FVJdhdCYsL3UJyXlWrOsp2ND6uKt6/eRCrk3L5v1+PcCCnkivf2coDk2K4ZmAoP+4zdT9etfuktSMaQFFVA78ezOeX/bkcyDlV+qdWymjQmja23po7gKvNTQguRq9gD16+ri+LV+5n6aY0xsb4M6K773mPD/a0BJ3b9yZiazk95NwWc1yNzsDbG46zdNMJDEYI8VTzxg0DGH6B37G9MG9YBJ+Zu/At25zG49Pj2vX1xsT4o5RLZJXWkV5Sa3WFCs6NEKXsGMtHx7nU1VlmUSohrZS8ivomHfoEguZgKblrjr35XFh27+x1V+RizBsWgdEI//zxEB9vy8BDrWSxOXOqLUiSxAOTY1j4yW6+3JHN3eN74Otmu90pCxV1GlIKqkktqCa10ORQyi6rI7eivsX/T+UyCVeVHGeVHIVMhlIuIZdJKOUy5DIJhVyGTDI5q/RGIzq9EYPRiN5g/jJ/T6MzUK/VU6/VW0VPncFIdaOO6jaWGruo5Pi4qvBxVeHtYvqvZZKr1RvZn11BtmsdAR5qAtydmuWaev2vY9Rq9PQP8+Tq/s2b8AoE9oafnx9yuZzCwqY5k4WFhQQFBZ3znKCgoAseb/lvYWEhwcHBTY4ZMGCA9Zgzg9R1Oh1lZWVNrnOu1zn9Nc7EyckJJyfbf2a2lJuGR5JZUsuHWzP4x3cHcFLIuLxvMKW1Guo0eiQJQr3F3KuthHs7o5KbBIjcinrCL3Gh70heZZPH+7LLrYKovSNJErMHhzE2xo+nfjzE+qNFvL7umDVXCkzu5Hsn9GBDShG/7M8jIa3EWqInl0mMifZj1sAQ+oZ6MeX1zUgSLW5gcvWAUBJOlLJqz0ke+fYAax8ai/t5SvMt66euWr5ny5Dz44XVPLRqP0fM17xmYCjPzez9/+ydZXhU59aG7z2Wibu7kWAhuDsUqUAF6u7u3nPantOvPRXq7q6UUihS3CFYAiEQd3dPJhn5foxASgjxzEz2fV1cSSZ7Zt6Eyex3P+tZz2ozZdGckUklPLEgiju+O8KXe7K4YXKwKVOsL3CwkTEpzJ3daeVsO1UqilLnQRSlzBijoN3e9WWgmx0TQt04mFXJyiP5ppYhEZHOIpN2X5TS6XTkGIJeg90tU5QCvR28VaPVT+Tbkoqbg4LrJwWf/47nYdYQT0b6O5NYUMP3B3J7LHZVN7aQkFdNfG41CXnVJBfXUlLbfgAvgEImIdDVFj8XWzwdbfB0sMHDwQYPRwWeDkpc7OQ42Miwt9E7lmxkkl7t/9fpdKjUWpoNAlVzq5amFv3nTS0a6lWt1DarqW1qpa5Zbfin/7y2ubXN1zVNrai1OhpbNDS2NJFf1b7F/u4fjrb52sFGhpejDV5ONng5KvF2ssHbSYmnow0+TkrqmtX8bMi3+NdFwwZ9dV7EclEoFIwdO5atW7eydOlSALRaLVu3bm0zbfhMJk+ezNatW3nooYdMt23evJnJkycDEBoaio+PD1u3bjWJULW1tcTFxXH33XebHqO6upojR44wduxYALZt24ZWqzXlfU6ePJlnn32W1tZW5HK56XmioqJwdXXt7V9Fr/P0oqGU1qn4M6GQ+36K5y2tjkCDEOXjpMRGJrore4pMKiHEw47UknrSy+oHvShlFBHCPO3JLGvgaG71wC6oG3g7KfnshnGsOVbIC2uSqGps2yo19qUtbb4eE+TC0tH+LB7pi4ehiPfbYf35OcbfGRe7rgdm/+viYezLLCevsomX15/ilcti2j3O6JQqr1ehUmus7m+6N0LOtVodX+7N4rW/U2hRa3Gxk/PypSNZPNL3/Hc2M+YP82ZcsCuHc6p4e3Mar17R/uuit5gT7cXutHK2Jpdw+wxxkE5HiKKUGWN8YzxzxOqZXDMhiINZlfwYl8vds8KRd3OKmsjgxOiUUndDlKpoaKFepUYQINDNsivFN04JoaKhhXe3pvHvP0/gaifnohi/Hj2mIAjcNj2UB39O4Pu4HO6aFdaljU5ZnYp9GeXsSSvnSE4VmeXtZ0oEuNoS7ePIEG9Hwj0dCHK3I8jNDk8HmwEVWQRBQCmXopRLcenhY+l0eqdVZX0LlY0tVDW0UNnQwuMrj5uOmTfUm6rGFirqVZTWqWhs0VCvUlOvUp/zd3cmr/+dgr+rLQGudgS42BLgakuQux1+zraiWCViETzyyCPceOONjBs3jgkTJvD222/T0NDAzTffDMANN9yAv78/r7zyCgAPPvggM2fOZMWKFVx44YX8/PPPHD58mE8//RQwDIZ46CFeeuklIiMjCQ0N5V//+hd+fn4m4Wvo0KEsXLiQ22+/nY8//pjW1lbuu+8+rrrqKvz89O+h11xzDS+++CK33norTz75JCdOnOCdd97hrbfe6v9fUjeQSATeXB6LVBBYFV/AAz/Fm3IU/UWHeq8R4eVAakk9GaX1pnDgwYrRhXL9pGBeXHuSk0W1NKjU3cpMHEgEQeDCkb7odPDQLwlnfT/Cy4GlsX5cMsq/3YEBe9LLAZgW6dGt53ewkbFiWSzLP9nPz4fyuGp8EKMCXc46zs1egUIqoUWjpbRWZVWiqFarI9nQDtrdkPOC6iYe+/UY+zMrAJgV5clrl8fg5aTstXX2J4Ig8PTiaC7/aD+/HcnjtumhRPZhe+ycaC9eXHuSQ9lV1DS1WoyrbCCwrHe4QYbxhXuuMLZFI314aZ2C4tpmNp8ssUjFWmTgkPWgfS/H0Lrn52xrFVWlh+dFUlGv4oe4XB7+JQE3OwVTIrq3ETKyeKQvL68/RUmtinXHizqcDNei1rI/s4KdKfoA8ZR2gkBDPewZHehCbJALw/2cGeLtcE47ujUhCAJOSjlOSjkh6F15pXXNKGQSWtRafrtrMuND3Nrcp16lpqS2mdJaFaV1+o8ltc2U1um/PpDZdjxvXFYlZJ393DYyCaEe9oR62BPmaU+oh4P+cw97sxl1LCICcOWVV1JWVsa///1viouLiY2NZePGjaZQ8dzcXCRnDLWYMmUKP/74I8899xzPPPMMkZGRrF69mhEjRpiOeeKJJ2hoaOCOO+6gurqaadOmsXHjRpTK0xcjP/zwA/fddx9z585FIpFw+eWX8+6775q+7+zszKZNm7j33nsZO3YsHh4e/Pvf/+aOO+7oh99K7yCVCLyxbBROtnK+3pfNKYPzoDvuDZH2iTC0tWSUDe6w8xa1lrRS/fl/3lBvvtybRV5lE/syKpg/zPs89zYPNFodcZkV/JVYxMYTxVQ2tLR7nL+LLVdPCGo33kCr1bHXKEpFdK1170wmhLqZ8qyeX5PEqrunnFVoEgQBLycb8quaKK1rtipRKreykTqVGoVMQphn17oadDqd/vf2ZxJ1KjW2cinPXjiUaycGmd1kva4yNtiNBcO9+TuphFc3pvD5jePOf6duEuxuT4SXA+ml9exKLePiUT0relszoihlxjidR5SykUm5ekIQ721L55t92aIoJdIljE6p7kxIM/beW0ulWBAE/rNkBNWNraxLLOKu74/wx71Te9T/LZdKuGFyCK//ncJXe7O5dLR/mxN5XXMrO1PL2JRUwvbk0rMyl4b7OTE1woNJYW6MDnQVRZAz+GZfNi1qLWOCXBgXfHYLkIONDAdPh3b//1rUWha8vYus8gYuG+PPtRODyK/StwUWVDcZPm8kr7IRlVpLcnEdycVni4SejjZE+zgy1NeJaB9Hon2cCPeytwqRVsQyue+++87Zrrdjx46zblu2bBnLli075+MJgsB//vMf/vOf/5zzGDc3N3788ccO1xUTE8Pu3bs7PMbckUgEXrhkOBFeDjy3+gQAW06VkJBXTWw77guRrhEuTuADIK20jlaNDieljABXW2ZHefHt/hy2p5SatSil1eo4lF3JX8eL2HCimPL60/ECbvYKFo7w4ZJRftQ1q7n928MA7EwtY+6bO3l6UTTLxga2EYuSi+sor2/BVi5lTLBLj9b29KJoNiUVk5BXzZZTJVww/OwsO28nJflVTR3GIlgiRtfdUB/HLnXTVDa08OwfiWwwTHgfHeTCm8tjLTZDtj0eXxDNllOlbDlVwqHsyrOKm73J3Ggv0kvr2ZZcKopSHSCKUmaMi51elKpuPPfYymsmBvHhjgzisipJKqxhuF/37Jkigw/jpDGVWtvliTeldfoTt2cvjpcdaKQSgRXLR1FU08TR3Gpu/foQf9wztUdi0NUTgnh3axqJBTUcza1iuJ8zW06VsDq+gF2p5bScIQh6OtowN9qL6ZGeTA53x00UodqlXqXmu/05ANw5M7zLFbtv92eTVd6Ah4OCFy8ZjqNSzth2YsTUGn3obmZ5A1llDWSW15Nl+LywppmyOv00w91p5ab7yCQCYZ72jPB3JjbQhVEBLkT7OopClYiIlXDdpGBe3ZBsKiJc/tE+7poZxn2zI7FViH/n3cVYQBjsopQplNrPCUEQmBXlybf7c9iZUoZOpzMrh4pGqyM+t4q/jhexPrHItC8E/fXLwuE+XBTjx6QwN2TnEESqG1t58vdEVh7J56WlI4ny0bdR7UkvA2BimFuPz59eTkpumBLCRzsyeG9bOvOHeZ/1e/Q27GVLaq0r7PyEITR/uH/nrw23J5fyxO/HKatTIZMIPDQvkrtmhp/z/9BSifByYPm4QH46mMvL60+x6u4pffb3NXeoN5/symR7Sikarc5kChBpiyhKmTE+hn7dwur2g30BfJ1tWTzSl7XHCvloRwbvXzOmv5YnYuE4nJFP0NCi7lIrWGmd/sTt5Wg9ohTohbpPbxjH0g/2kl3RyN0/HOHbWyaikHXvZOxmr+CiGD9+P5rP5R/tx9FG1sYRFeZhzwXDfbhguDexAS5iflEn+PlgLrXNasI87Jk/tGuV47I6Fe9sSQPg0QuiOnzNy6QSgt3tCXa3Z3ZU2+81qNSklugdVMlFtZwyfKxtVpNaUk9qST2rjuonAyqkEob6OREb4ExskAvjQ9wIcLWe9gARkcGGn4stKSV1ONvKqWlq5YPtGfyZUMgLFw9n7lAvsxIOLIVwTwcEAaoaW6lsaBm0RRlTKLUh/2dymAc2MgkF1U2cKKhlZMDAFp6bWzXsTS9nU1IJW5NLKK8/3ZrnqJSxYLgPF8X4MjXC45zOnA+uGcO9P+oHk0yP9OBIThWHsqu48N3d3DotlPvnRpqKPdN6GKNg5LZpoXy1N4vEghp2pZWfNc3Py1F/vWVtTqkTBQZRqhMh5w0qNf+3/hQ/xuUCEOnlwFtXxjKiC4KWpfHwvEhWxxcQn1vN30klLBzR/kTYnjImyAVnWznVja3E51Yxrg9dWZaMKEqZMcYA6XNNmzJyz6xw1h4rZF1iEY+U1RMmjpwU6QQ2MgkyiYBaq6NBpemSKFVmOHEbT+TWhIeDDV/cOJ7LP9rHgcxK/v3nCV65bGSXLzSqGlpYeSSf34/mm26rU6nxd7Fl6Wg/lsb692m4ojXSotbyxR59+NMdM8K6LOK9suEUdSo1I/2dWT4usNvrsLeRMTrIldFBp1sHdTodRTXNnCqq5Xh+DcfyqzmWV01VYyvH8vSff2NwePm72DIxzI1Joe5MCHUj2N1OvJAVEbEAdDodBYZC4e93TyGjrJ4X1ySRX9XEbd8eZkKoG08siBIvOrqIrUKKv4st+VVNpJfWMyF0cP7+jO1WRhHBViFl3lBv1iUWseZYwYCIUjWNrWxLKWFTUgk7U8tobDk9fMlRKWPeUG8uivFlWqRHp1xNi0eevvDfnVbOvqfm8OLaJP5OKuGTXZn8fCjPFFsyPbL7eVJn4u5gw1Xjg/h6XzY/HMg5S5TyNpgASq3IKaXT6UyvpxHn6aI5mFXJ4yuPmaZq3zotlMcXRJk6KqwVLyclt00P5b1t6byxKYX5w7z7xMUkk0qYFeXJnwmFbE0uFc8P50AUpcyYQEM1Pa+qscPjhvo6MW+oF1tOlfLRjgxeXzaqP5YnYuEIgoCDUkZ1Yyv1qlag8wKT0aZtbU4pI1E+jrx39Whu/eYQPx/KIzbQhasmBHXqvgl51Xy3P4e1xwtpUbfN67psjD9vXDFKdER1kz8TCiiqacbT0YZLx/h36b6HsytN7qX/LBne6xsPQRDwc7HFz8WWuQYHl06nI6+yiQSDQHU4p4oTBTUUVDex6miBaT0+TkqmR3owM8qT6RGeONtZf4C9iIglUtukn+oJenE5wsuBaREevLctnS/3ZnEwq5IrPt7PrChP7poZzsRQN1Fw7iThng6DWpTS6XScOqN9z8iSWD+DKFXIU4uG9nnrj1ar42RRLTtTy9iZUsaR3Ko2A3F8nZVcMMybC4b7MCHUrcuTvwVB4PpJwXx3QF+kkUslfHL9OLYll/CftSfJrjh9zdN0junj3eGaiXpRamtyKaW1zW2mx5na9+qsR5QqqmmmsqEFqUQwtUX+k6YWDW9sSuHLvVnodODnrOSNZaN6POjHkrh9Rhjf7s8hvbSeNccKuHT0uYcS9YQ50V78mVDItlOlPLkwuk+ew9IRRSkzJsDVDkGAumY1FfWqdidUGLlndgRbTpXyR3wBD8yNtKrpESJ9h71CL0rVNavPf/AZVBimqXhYqSgFMDvai8cWRPHaxhT+vSaJ4X7O56xSarU6tiaX8vHODI7kVJluH+brxPWTgymqaebdrWlklTeIglQ30Wh1fLgjA4Dbp4d2KWdCrdHyrz+TALhyXGAbh1NfIggCQe52BLnbcYkh3LJBpeZIThVxWRXEZVZyLL+a4tpmfjuSz29H8pEIMDrIlZlDPJkV5clIf2fxolZExEwwFgnd7RWmDCl7GxlPLYrmhsnBvLctjV8P57MjpYwdKWXEBDhz2/QwFo3w6fLF+2AjwsuBnallgzZXKq+yST8pTSohwut0x8PMKE+clDJKalXEZVUwJbz3BYOqhhZ2p5ezM6WMnallbYLKAaJ9HJk/zJsLhvkwwt+px+ek5y8eZhKlbvjyIBsenM6caG+mRngQ/a+N6Awa2NIP9nLF2ACeWBjVY2f+EG9HxgW7cjinijXHCrltepjpe6edUtbTvmd0SUV6ObTreDqSU8Xjvx0js1w/TfvKcYE8e9FQnAbBVOczcVLKuXNmGK9tTOGdLWlcFOPXJ+/VMyI9EQRIKamjuKYZH2fr6zTpKaIoZcbYKqSEuNuTVd7AqaI6pkWeWwAYE+TK1Ah39qZX8PaWNFYsF91SIufHUal/C+iqKKV3VrXNpbJG7poRztEc/cSWu384wl/3T2szBlyl1rA6voBPd2WSUaY/sSukEi6K8eW6ycGMDnRBEARK65r5cHs68bnVpJfWt9lwinSOv44XklXegIudnGsntpNM3gE/xOVyqqgWJ6WMJxZGnf8OfYi9jYwZQzyZYWgfaG7VcCi70nQxkFZaz5GcKo7kVPHm5lT8nJUsGOHDohG+jA12FQMyRUQGEGPrXoDr2ZNn/VxseeWyGO6YEc5nuzP5/Ug+x/NreOCneDwcFFw2JoDl4wKI8BLbttsj0nBeTCs9e9rpYOBkkT7/Z4iPQ5uLYhuZlAtjfPnpYB6/HMrrFVGquVXD0Zwq9mVUsDejnGN51ZxhhsJOIWVKuN69O2uIZ68XumVSCYFutuRVNnGqqJYGlRp7Gxk2MilDfZw4WVSLVCKg0epYeSSfjSeKuX9OBDdNDelR8PlFMb4czqli08mSf4hS1hd0bsyT+mcmVHOrhrc2p/LZ7ky0Ov3P/r/LY5gd5TUQyzQLbpwcwhe7s8iuaGTV0XyuHN+5zoiu4GqvIMbfmWP5NexKK+tRhIS1Yt1XlFbAMF8nssobOFlUw7TIjk9ETyyIZkn6XlbF53P7jFCifc4fbCcyuHF30AssFQ1dqw7VG0Qso6hlrUgME/kufm8PuZWNPPxLAl/cOJ4WjZafD+by4Y4MUyujo1LGdZOCuXlKSBtbOOizt6ZHerA9pYy/jhfy0LwhA/HjWCxarY4PtqcDcOvUUOy7IIaW16t4Y1MKAI8vjO7QcToQKOVSpkd6Mj3Sk+fQX/TuTCljR0ope9LLKaxp5qu92Xy1NxsPBxsuGO7NxTF+TAx1E113IiL9TIEh49O/HVHKSKiHPS9fOpJH5w/h+wO5fHcgh/J6FZ/uyuTTXZmMCXLh4lF+LBrhK1bLz8DYYpRSPEhFKWPrnu/Ze/drJwbz08E81icW8dyFw/Dsoku9Ra0lIa+a/RkV7MsoJz63us30X9C7oWYO8WTmEE/Ghrj2+dTYL28cz/y3dgHw9pZUnr1wGGV1KlPYe9wzc8mtbOTFNUkcy6/hlQ3JfB+Xw2MXRHFxjF+3zn/zhnnzwtqTHM6upLa51eQKMu7ZapvVNLVorGKSZpJh8t6IM1pBE/KqefTXBFMR9fIxAfz7omGDPjLA3kbG3bPCeWndKd7dms7S0f598vqfOcRTL0qliqJUe1j3FaUVMMzPiXWJRSYbZkeMCnThwpG+rEss4rWNKXx50/h+WKGIJeNpuEAvq+uaKNWg0vf5d0UcsFScbeV8dN0YLvtwH9tTypi9Ygctai1FNfqKmo+TklunhXLVhMAOw+IvivEziFJFPDg3UmzJ6gKbTpaQWlKPo42MG6aEdOm+r25Ipq5ZzQh/J67pZC7YQOLvYss1E4O4ZmIQza0adqWWsfFEMZtPlVBer+LHuFx+jMs1BeZfOjpAdN6JiPQTRqeUv8u5RSkj7g42PDgvkntmh7MjpYxfD+exLbmUo7nVHM2t5sW1Jxkb7Mrikb7MH+pNkPvgjl0wDv4orVNR1dCC6yCbwJdsEOPaKyiP8HdmdJAL8bnV/Ho4j3tnR3T4WE0tGo7lV3Mkp4oDmRUcyq6kubWtCOXtZMPkMHemhHswfYgHvs7nf033JmcOevlsdxaPXhDFnvQyQB/07uFgg4eDDX/cM5WVR/N54+8U8iqbePDnBD7fncXTi6O77BoLcLXD38WWguomThbWMinMHQBHGxm2cilNrRpK65oJdrfvvR90gDhRYAjN93dGpdbwzpY0Pt6ZgVYHno42vHLpSOYN69oEY2vmuknBfLY7k4LqJn49lMf1k0N6/TlmDPHk3W3p7EkvR6PVic73f2D9V5QWzkiD7fLMnJqOeGxBFBuTitmWXMr+jAomh7v35fJELBxjta0ropRKrTFV2Ky9fc9ItI8Tw/2cOJpbbZpO4uOk5L45ESwfF4hCdv7+8/nDvVGskpBeWk9KSZ3oZOwkOp2O97enAXDT1BCcbTtf0TuSU8VvR/TTD1+8ZITFbQCUcikXDPfhguE+tKi17M+sYP3xItYnFlFQ3cQH2zP4YHsGowKcuWJcIJeO9h80f5MiIgOBySnVCVHKiFwqYf4wb+YP86a0rpm1x4rYkFjEYUOb7pGcKv7710lC3O30TpUoTyaFuWOnGFx/yw42MgJc9RP4UkrqTILBYCG1RC9KnSuU+vpJwcTnVvPDgRzunBGG7IwWv9K6Zo5kV3E4R/8vqaAG9Zn9eICHg4KJYe5MCXdncpg7oR72A14c+8+S4fzbkPf46+E8EnKrgbZT9yQSgeXjArkoxpcvdmfxya5MEgtquOazOGZHefLkougu7aeG+jpSUN1EWmm96TUmCALeTjZkVzRSUquyeFGqrE5FcW0zgqDP47z4vT2kluiz2pbG+vHCJcPbRFGI6Pdb982O4F9/JvH+9nSWjQvs9emDsYEuOBoGTCUW1BAb6NKrj2/pDK4zngVizBDJr2oir7LxvH3doR72XD0hkO8P5PLi2iT+un9amxOXiMiZGIMjS7sgSjWdMQ7Y1srHxQLsTC3j5XWnSClp21Kw8aHpXTqpOynlzIzyZPPJEv46ViSKUp1kR2oZJwpqsVNIuXlqaKfvp9HqeH7NCQCWjQ1gbHD/hJv3FQqZxNRa8eKS4Ww5VcKqowXsTC3jWH4Nx/Jr+N/6U1w6xp/rJgWLry8RkT7A5JRy7Z6ryctR76y9dVooxTXNbDxRxIYTxRzJqSK7opHs/Tl8sz8HhVRCbKAL40JcGR/qxthg10ERQBzt40h+VROpg0yUamrRkFOpL3gN8W5flFo80peX1p2isKaZt7ek4euiNAlRuZVnT+n2drJhXLAb40NcmRLhQaSXw4CLUP9k6Wh/kyj17z+TcDG0kc0YcrYDyk4h4/65kVw9MYj3tqbxQ1wu21PK2JFaxmWjA3hgbkSnxCQ3gwOvtqm1ze1eTkqDKGX5uVLG1j2dDq79PA6NVoeHg4KXlo5k4QifAV6d+bJ8fCAf79S7pb4/kNMmd6w3kEklTA33YGNSMTtTykRR6h+IopSZY28jIybAmfjcauKyKjsVNvjI/Cj+Ol5EcnEd3x3I6dKFnMjgojtOqTOLbzILc550hZTiOv5v/Sl2pert5M62cq6dGMQPcbnUNLXy6sZkXrkspkuPeVGML5tPlrA+sYjHFgxs4LYloNPpeG+r3iV13aRg02ayM3yzL5sTBfpw8ycXWdf4XaVcykUxflwU40d5vYrV8QX8GJdLZnkD3x/I5fsDuYwLduWmqSEsHO4jFiZERHqJfMP0va44pc6Fj7OSm6aGctPUUOqaW9mfUcHOVP3Ag/yqJg5mV3IwuxJ2ZCAIesfuuGBXRgY4M9LfmUgvB6v72x7i7ciWU6WmVrbBQkZZPTqdXjDxcDh9ntPpdBTWNHM8r5qE/GoqDZOP3zdkLBoRBIjydmRciCvjgvUiZoCrrdmJUP/ESSln4XAfNiYVA1Dd2IqtXNphEcnDwYYXl4zgpqmhvPF3CusSi/j9aD6rEwq4dLQ/982OIMTj3OKUsY3R5h8Od+MEPmsQpYwOcTA4pUb58eIlw7u0hxqM2MikPDA3gid/T+SjHRlcPSGo12NKZgzxZGNSMbvSynhwXmSvPralI4pSFsCkMHfic6vZl17OFWMDznu8m72CxxdE8ewfJ3hzUyoXxvj2eJSqiHViPAkXGqq/nUFzhipl5vudblFRr+KNTan8cigXrQ7kUoEbJ4dw/5xInO3kTIvw4Nov4vjpYB4zh3h1qeo0J9oLuVQgs7yBzLJ6wjw7nwWk0eqoV6mpV6mpa26lQaWmVaNDq9Wh0enQaHWmHnWlXIqNTIKNTIpSLsFBKcPVTmFxI8n3Z1ZwNLcahUzCbdM7L64XVjexwhBu/tSioXiYWbh5b+LhYMNt08O4dVoo+zMq+O5ADptOlpjaOILc7Lh9emifWNFFRAYTjS1qqhr17oqOgs67g6NSbmrV1el0ZFc0cihLL0odzq4ku6KRU0W1nCo6nS+qlEsY6uvESH9nRvg7E+3jSISXg0W3/Rlb11IHmShlDHf3crRhV5p+Gt7x/GoS8moorz930fCBORGMDXFjdJCLxTrprp0UZBKlACaEunUqZDrUw54Prh3D7XnVvL0llR0pZaw8ks8f8Xpx6p5Z4e3usYxB6v+coOltKNJ2pXPA3FCpNXywLZ11x4tMt3147RgWj/QdwFVZFpeNCeDDHRnkVDTyQ1wOd8wI79XHN7oAE/KqqWlq7VIkhbVjuWeuQcSMSE8+2pHB9pRS1BptpypjV40P4pdDeRzPr+F/65N588rYvl+oiMURbAhWza9q6vRrS6fTi1ISAbOvwnUFrVbHT4dyeW1jCjUGW/eiET48tSi6jSV8SoQHd8wI45OdmTy3OpGJoW6dDmR1VMqZEOrG3vQKtiWXmjZMDSo1ORWN5FQ0kFelzzQorVNRWttMaZ2KsjoV9Sp1j39GRxsZrvYKXO0VeNgr8HVRmoI//V1tCXC1xdPBxmz+X9/bqq8GXz0+sEvC+gtrkmho0TA22JWrxg+OCSeCIDAlwoMpER6U1DbzQ1wu3+3PJreykX/9mcTbW9K4cUoIN07pWi6XiIiIHmOelKNS1qd/Q4IgEOphT6iHPcsN71+ltc0cyq4iPreKxIIakgprqVepic+tJt6Qw6O/LwS62jHE24FIb0eivB2J9HYg1MPeIsQq0wS+kjp0Op3ZnIt6G61WR27laaHx3W36c11ycR03fnmwzbFSiUCUtyOjAl2IDXRmXWIxu1LLGBvsysPzh1j872hKuAdOShm1hqnOXd3rxAa68PXNE4jPreKdrWkmcWrlkXxmDPHkxsnBzBziiUwqYeOJYtJL61FIJWe1h1q6Uyohr5onVh4zZUcBvHv1aFGQ6iJyqYR7Z0fwxMrjfLorixsmh/RqQS/A1Y5wT3syyhrYl17OIvH/x4T5n6FEGB/iioudnKrGVo7kVDGxE332UonAf5aM4NIP97IqvoClo/2ZMcTzvPcTGVz4OClRyCSmaXKdaQ81GqUkFr4ROpPE/Bqe+/MEx/KqAf1I5heXDGd8iFu7xz8yfwjbTpWSVlrPi2uTePuq0Z16nurGFuwNFwYvrTvF30nFZFc0dql9UiGT4Ggjw95GhlwqIJUISAQBmVRAKgiotTpUai0qtYbmVi3NrRoaVGq0OqhTqalTqdvNnzDiqJQR6eVApJf+YibCy4Fhfk797rY8lF3J/swK5FKBO2d2vlL1d1Ixm06WIJMIvHzpyG6NjbZ0vJ2UPDJ/CHfNDOPXQ3l8tjuLguom3tycyue7M7lzZjg3TQkZFNMzRUR6i/wuTN7rbbyclFwY48uFMfoLGK1WR1ZFAycKakjMr+FEYQ1pJfVUNLSQW9lIbmUjW06Vtn0MRxtC3O0JcrcjxN2OYHd709fmIlSHeTggkwjUNaspqmnGbwB+172JRqujsLqJjLJ6Msr0Dunk4jqSi2ppOCOf80xC3O0YFejCqAAXRgU6M8zXGVvF6Yvi2VFeTHttO0dyqojLqrT47C2pRODysQF8tTcbgOP51Wi1ui6fu0cHufL1zRNIyKvm/W1pbE0uZVdqGbtSy3CwkeHtZENGWQMAN0wOPisT1MtJ75SyNFGquVVjOrdrdaCQSkzDiGZEdm06oYieS0f7886WNAqqm/j5YC439XIMzowhnmSUNbArrUwUpc5A3JFaADKphDnRXqw6WsCmkyWdEqVAXz24cXIIX+/L5ulViWx8aHqHI+tFBh8SiUCQmx3ppfVkVzR0UpTSq1LWoEnVNLWyYlMK3x3IQafTO4keuWAI108K7tA1ZiOT8toVMVz+0T5WJxRyUYzfWaN1axpbScivJj63iuP5NZwqqqWopu1m51D26amarnZygt3tCXKzw8dZiZejDV5O+o+ejja42MpxUMo6ZWv/J1qtjtrmViobWqhqbKGqoZWyehUFVU0UVDdRUNVEflUjxbXN1DWrTSPLz8THSUlMgDMxAc6MDHAhxt+5T0d2v7kpFYArxgZ2+sKkXqXmeUNo6h0zws45xWiwYKeQcdPUUK6bFMy6xCLe35ZOWmk9r/+dwpd7srh7VjjXTQoW2/pERDqB0Sn1z7afgUAiEQj3dCDc04Elsf6m28vrVaSW1JFWUn/6Y2kd1Y2tevdtnUqfU/UPHGxk+Dgr8XVW4udsi6/L6Y++zrZ4OdngaCPrc1eOQiYh1MOeNMOUWksQpWqbWyk0nEcLqvX/8iobyShtIKuigRa1tt37KWQShng7MNTHyZQB9NkN45j/j73EP/FyUrJsbAA/xOWyYlMKv9452eLdUgFnDA5o1ejYcqqEC4Z3L5A7NtCFz28cT25FI9/H5fDb4TyqGlupL9M7sC4d7c8TC8/OmTQ6pUprLad972BWJU/+fpyscr3Ydulof+YP8+aeH44S4GorTtjrJnKphLtnhfPc6hN8vDOTqycGdWvvfS5mDPHkq73Z7Eott2pHaFcRRSkL4YJhPqw6WsCGxCKeXTy00xWEJxZGsS25lNzKRl7ZkMzLl47s45WKWBoh7npRKqeikemdyNxTGMIhjXlGlupE2XiiiOdWJ5nyGpbE+vHs4qF4OXXOETQ6yJXbpofx6a5Mnl2diKejDSeLajmSo2+xMFbk/olx5DXAwuE+3DM7nGA3e5zt+k4wlkgEXOwU592gNLdqyK5oIK2knrTSejIMFwYZZfUU1zZTfLKZTSdLTMdHeDkwIdSNiaFuTApzN23qesq+jHL2Z1agkEq4b05Ep++3YlMKxbXNBLnZ8cBcMUDSiEwqYUmsPxfF+PHX8ULe2pxKdkUjL607xZd7snhq8VAujvEVN0YiIh1QVKN/3/Z1Nl+hxMPBBg8HG6aEt3VIVDe26FvEKxvJKW8g29AunlPZaGoPTy+tJ720/hyPrHdguDso8HCwafvRXv/RxU6Ok1KOs60cJ1v9RxuZpMvvK1E+jnpRqriO2VFe3fo99ASdTkdTq4baJjXl9SoqGloor1O1/byhhdLaZgqqm6hr7rjdTCGVEOJhR5iHA2Ge9kT5ODLU14kwD3tkUgl1za0mUWp8SOemxN43J4LfjuRzKLuKHallA/J76k2MAwSMfLA9nfnDvHt0Tgpyt+OZxUN5cmE0KcV1VDW2EOJhf06noyW179Wr1Ly2MZlv9+cA+qLhy5eNYE60N5/tygRghJ/zQC7R4lk2LoD3tqVRXNvM70cKuGZiUK899qRQdxQyCQXVTWSUNRDh1fl8WWtGFKUshFlRnjgqZRTWNHMgs4IpEZ2zZNopZLx6eQxXf3aAH+NyuXCkL1M7eV+RwYExLynzHCLKPznTVaFSa9vYyi2BsjoVL6xJYl2iPggyzNOel5aM6PTflJH8qkaTs6ykVsWSD/aedUyIux2jg1yJDXRhuJ8TQ3wccVLKeXFtEl/tzcbNQUFMgEuPf6beQimXEu3jRLSPU5vbG1RqfZtIQQ3H82s4nl9NdkWj6SLmx7hcQJ9RNjHUjWmRnkyP8OiWk0qn0/HWZr1L6qoJgZ1ulTmeX803+7IBeGnpCNH90w5SicCSWH8uHOnLqqMFvL0llcKaZh74KZ5v9mXz74uGMUocUSwi0i5Gp6uvi+UNjjEWJdr7+25s0bfKFVU3U1jTRFF1M0U1TRTWNFNU3URxTTN1KjUtGn2b/z8dvx2hkEpwspXhZKsXrByVMmzlUuwUUmwVMuwU+s+VhtvsFFLSDJk4n+zMYLifEzKJBJlUQCYR2nyuA9OAD61Oh1aH6fNWjRZVq5amVg1NLRqa1fqPKrWWphYNTa0a6ppbqW1SU9vcSl2z/mNtk/5z9ZljhjuBq50cf1db/JyN+Yx2hHnaE+7hgL+rLdIOindpBiHQ28mm084WX2dbbpgUzOd7snjj7xRmRnpabIEQME05NnIsv4bdaeW9EjsilQgM83M673FehqDzhhYN9So1Dmba3r47rYynfk+kwNBOfPWEQJ5ePNQUdJ9UWAPACP/z/8wi58ZGJuXOGeH856+TfLgjnWXjAnptWJCtQsr4EFf2plewN71cFKUMmOdfnMhZKOVSLh7lx49xuaw8kt+lC+jJ4e5cPymY7w7k8Phvx1j/4HTR0iliwtjidOZUn444c4yuSq2xGFFKp9PxZ0IhL6xNorqxFalE4K6ZYdw/J7JTAkZTi4Z9GeVsSy5ld1r5OXOZ7psdwZhgfR6E+zmmvk0Oc+ervdkcyKjo0c/UX9jbyJgY5t6mdbiqoUU/sjyrkrisCk4W1hrC2hv59XA+ggCjAlyYOcSTGUM8iQ106XBjbmRPejmHsqtQyPRhk51BrdHy9KpEtDq9403Mz+sYmVTC8vGBXBLrx2e7MvlwRwZHcqpY8sFerhgbwDOLh4qjo0VE/kFRtV6M8TNjp1R3sFPITK2A56K5VaN3CtW3nP7YoKK8roWKBv3XNU2t1Da36j82taLVQYtGS3l9C+X1LV1eV1VjK9d/cfD8B/YRUomAm73C4D4zOMPsFXg42phuC3C1xdfZtkf5fMZJg0O8u9Zufs/sCH46mEtSYS3rTxRxUYxft9cwkBjdIv/kvW1pTI/06DcHr72NXiRtbNFQXqcyO1GqpqmV/1t3kl8P6111Aa62vHp5zFlGgxOF+r38cH/RKdVTrp4QxIc70smvamJ1fAHLxvXe4Jwp4R4mUerGKSG99riWjHn9xYl0yOVjAvgxLpcNJ4r5z9KuqfhPLYpmT3o5WeUNPPn7cT6+bqzYqiEC6EO9AZKLazvV2yyXSpBKBDRaHc2t7WclmBvFNc08+0ciW5P1wa9DfZ14/YoYRpznpJ1X2ci25FK2JZeyP7OiTTaEVCIQE+DMlHB3NpwoJrOsgXBPex6YG2lqcTwXE0PdEQTILG+gpLa519re+hNXewULhvuwwJD7UNvcypHsKvZnVrArtYzk4joS8qpJyKvmna1pONvKmRbpwQXDvJkV5dVusK5Op2OFIUvquonBnf69fL0vm6TCWpxt5fzromG990NaOUq5lPvnRrJsXCCvbUxmVXwBK4/ksy25lH9dNJSlsf7ieUJExECxoa3Hx9ny3q97ilIuJcDVrk32T0fodDoaWjQmgaq2SS9W1avUNLZoaG7V0Nii/9fUor+tsVVDc4uG5OI6kwtkiLcDOh2otXr3k0aro1WjQ6PVIhEEBEFAKgGpICAxDP2QSvROKqVciq1cilIhRSmTYKuQopRJsVVIsZFLcFLKcVLqXVyOSpn+6zM+t1NI++X9L6Wke6KUm72C26aH8c7WNN7clMrC4T6dmqBsbuw2uKTGBLkQ5GbH6oRCQJ+5uT+z4qxW1L7Ew8GG3MpGyutVhHjYn/8O/cTmkyU8+0cipXUqBAFunBzC4wuizhJDG1vUZJTpnXdi+17PsVVIuW16GP/bkMyHOzK4bExAp4qrnWFqhAev/53CgcwKNFpdrz2uJSOKUhbEmCAX0xjJ34/kd0lZtbeR8e5Vo7nso738nVTC93G5XD8puO8WK2IxRHg5IJUIVDW2UlKr6tSG21YupV6lpqm1/ekx5sRfxwt59o8T1DS1opBKeGBuBHfODG/XhqvT6ThVVMeGE0VsPFFsstUb8XexZXa0J7OGeDEp3N0kDN8xI5y5K3aQUdbA53syuWdWxw4fZzs5I/ycSSyoYX9GBUtH+3d4vCXgpJQzO9qL2dFePLN4KEU1TexOLWdnahm708qoaWpl3fEi1h0vQiYRmBzuzgXDvJk/zMf0mtuRUkZCXjVKuT5ksjPkVzXypqHd7+lF0Xicw50mcm58nJW8eWUs104K5plViaSU1PHwL8f4I76Q/1s6olMDEERErBmdTndGptTgE6W6iiAIONjIcLCRdXlaoVarY/jzf9PUquGj68Z26OCyBoztilFdFKUAbpseyrf7s8ksb2DlkXyumtB7uTf9xe60cgCmR3oyPsTNJEoBvLMlrZ9FKYVJlDIHKupVvLj2JGuO6X8nYR72vHZFDOPOMRn6VFEtOh2mATkiPee6ScF8vDODrPIG/jpe2GawRE8Y4eeEo42M2mY1SYU1ZhXlMVBYnqQ+iBEEgZsMQtRXe7PQdrHnfWSAM08aJk7896+TJBd3rl1LxLpRyqWEe+orQp1t4TO6XKobu27J7y9qm1t55JcE7vsxnpqmVkb6O/PXA9O4b05kG0FKp9NxLK+a/21IZtYbO1j87m7eM0wpk0oEJoS68dSiaDY9PIM9T87mpaUjmTfMu41T0dlWzjOLhwLw7ta0s0I722NyuL4Vbr+FtPB1FV9nW5aPD+SDa8dw9F/z+f3uKdw7O5wh3g6otTp2p5Xzrz+TmPTKVpZ8sJcPtqdzzw9HAX0VsDMbKp1Ox9OrEmls0TAhxI3lvWitHoyMDXZl7f3TeOyCIShkEnallrHw7V38ejgPna5r5xsREWuipqnV5Ay2RGerJSGRCAzx1gtRKYbWNmvGGC4f3o1cGUel3NTm/samVOpVHYeumxsarY496XpRasYQTyaHu+N3hugbl1XJgcz+2yMZi1pl3Wg37U10Oh1rjxUy/61drDlWiESAu2aGs/7B6ecUpABOFOj38OfrAhDpPA42Mm6dGgrARzsyem0vJJNKTJEY+6z0OqCriKKUhXHZmACclDKyKxrZnlLa5fvfMjWUWVGetKi13PP9UWqbW/tglSKWhrGFL7GgplPHu9rrRakqMxWlDmZVsujt3ayKL0AiwP1zIlh1z5Q29vjk4lpe2XCKaa9uZ8kHe/l4ZwY5FY3YyCRcMMybt64cxdHn5vPrnZO5a2Y4Q7wdO7TyXzranwmhbjS3anlx7cnzrnGy4WQUl2X9JyOZVMLYYFceXxDNpodnsv2xWTy9KJqxwa4IAhzLq+b1v1NMzrsWjdY04rgjfjuSz+60cmxkEv53+UiLDno1FxQyCffNiWTjg9OZEOJGQ4uGJ1Ye5+7vj1LVYJ5/7yIifU2hIU/K3V4hDlHoB4xZl8mdLJRZKg0qtakt1Fgc7CrXTw4m2N2O8noVH+1I783l9TnH8qupaWrFUSljVIAzUolwlnP83a1p/bYeD0MxrLxu4JxSpbXN3PHdEe7/KZ7KhhaivB35456pPLUo+rzvPaaQ804Eu4t0nhsmh2CnkJJcXMfOf4Ty94QphuL0XoMwO9gRRSkLw95GxtUGe+5nuzO7fH+JRGDFslH4OivJLG/gkV+OddlxJWJ9jA7SjyE+nFPVqeNdDUH5VQ3mJWq2arS8ujGZKz/dT0F1E4Futvx212QevSAKuVRCUU0Tn+zMYOHbu1j49m4+2ZlJQXUTdgopF8b48v41ozn6r/l8esM4Lh0dgLPd2blH50IQBF5aOgKZRGDzyRK2nirp8Pgxht95dkUjlYPsYj/Uw547Z4bz+91TiHtmLi8tHdHm+1/tzWb2Gzu48N3dfLwzg7x2QuVLa5t56S+9+Pfw/CGEWXmLR38T5unAT3dM4omFUcgkAhuTilnw9i72iZsnkUFIca2+dW8w5kkNBMZC2UkrF6WMxRc3e0W3BxDZyKQmp/Znu7M65dQ2F3an6s8n0yI8THlYl41pK0rty6jgUHZlv6zH6JQaiPY9nU7Hb4fzmPfmTjafLEEmEXhoXiRr75/W6am4RqeUGHLeuzjbyU3X3p/s7Pq197kwhtQfyq5sk1k7WBFFKQvkxikhyKUCBzIrieuGrdXdwYaPrxuLQiZhy6kS3ttmWZUVkd5nbLBeIInPqeqUSGmczGVOTqn8qkaWfbzfYK+F5eMC2PDgDIb6OvHb4Tyu+ewAU/63jVc2JJNcXIdCKmHhcB8+vk7fXvbBNWO4KMavR1N0hng7cut0vc33v3+d7PAk42wnJ8wQpHksr7rbz2npeDkqTcHwggDPXTiUGUM8kUoEkgpr+d+GZKa/tp1LP9zLF3uyKK5pRqfT8ezqE9Q2qxnp78xt00IH+KewTqQSgXtmRbD63qmEe9pTWqfiui/ietXCLiJiCRTV6N0sYp5U/zDMENJ8stC6RalMgygV1sNQ7QuGeTMpzI0WtZZXN6b0xtL6hV1petfJ9MjTE3MjvByJCWgrqvSXW8rTQb+37W9RqqC6iRu/OsTjK4+b9jVr75/GQ/OGnHdwjhGVWkOqITRfbN/rfW6ZFopMIrA/s4Lj+dW98phDvB3wcFDQ3KolYRBfBxgRRSkLxM/F1pSd8taW1G49xqhAF5M74e2tqed1dYhYN9E+jtgppNSp1KSWnj/DweiUqjATh8+mpGIWv7ObhLxqnJQyPr5uDDdNCeXVDclM/L+tPL7yOPsyKtDpYEKIG69cNpJDz87j4+vHsnCEb6+2Y9w/JxIPBxuyKxr5dn92h8fGBrkAED+IT0bNrRreOiOo/LbpYXx7ywQOPTuP/7t0BJPD9JMK43Or+e9fJ5n8v62EPr2ezSf171mvL4uxyIlDlsQIf2f+un86y8YGoNXBqxuTuev7I2L7t8igodgkSnUttFuke0T76tv3CmuazTq7sqdkGialhfZQlBIEgX9dNAxBgLXHCjmS0z/Oop5Q09RquhCfMaRtmPllhhY+d3sFMonA7rRyjnTSyd8TTjul+uc1p9Xq+O5ADhe8uZNdqWUoZBKeWhTNH/dMYahv11rwUovrUWt1uNrJ2+RyifQO/i62XDLKD4BPdvWOW0oQBCYbgvzFFj5RlLJY7p0dgUIq4UBmZbeDkpePC+T6ScHodPDQzwmDIlBSpH1kUgmjDQLJ4ezzn/i9nPQn7hLDRn2gaFFr+c/ak9zx3RFqm9UM8XbgxikhfLQzk8Xv7ua7AznUqdQEudnx2AVD2P3EbH69azJXTwjqUmteV3CwkfHYBUMAfXWvoxye0QZL9mCukHyzL5uimmb8nJXcMDnEdLubvYJrJwbz0x2TiHt6Li9cPIxxwa7806Dz/rZ0tiWX0KoRrc99ia1CymtXxPDKZSNRSCX8nVTC0vf3mi6qRESsGaNTSmzf6x+clHKCDFM/rbmFL7PM4JTqhfbz4X7OLB+rL1g/vyYJjZlHc+zPKEej1RHmaU+Aa9sJrxeP8kMmEahoaCHWsE96px/cUqZMqX5wSqWX1nP1Zwf41+oTNLRoGBvsyoYHp3PXzPBuFdpOGPKkhvs5d5h/KtJ97pgZBsCGxCJyKs6fe9oZplj50KOuIIpSFoqfiy1XjteffF7dmNztVop/XTSMCaFu1KnU3PzVQUprB1ZkEBk4xhoyjg5mnb/CZhzxXFDd1Kdr6oi8ykaWfbyPL/dmmW7LqWjkvW3pHMurRi4VuDDGlx9um8iOx2Zx35zIfhttv2xcIEN9nahtVvN2B27G2ED97zwht3Ntk9ZGdWMLH2zXtw8/ckHUOR1rXk5Kbpoaysq7pzDhH5Nn/jpexC1fH2bSy1t5YU0Sx/OrxdayPkIQBK6eEMRvd03Gz5BLeNlH+zr1niEiYskU1ejPdWL7Xv9hypWy4ha+zHK9qB/WzZDzf/LYgiiclDJOFNTy3Xmc2gPNrjTD1L0zWveMuDvYMCtKf7uPsxKpRGBXahnxuX3rljI5pfow6NzoDl/8zm7isiqxlUt5/uJh/HrnZMJ7IE6eMAwqGu4vhpz3FdE+TsyK8kSrg893Z53/Dp1gqsEpFZ9XRWOLZU3P7G1EUcqCuX9OBPYKKQl51fyZUNitx1DIJHx6/VjCPO0prGnmlm8O0WBhI2VFeocpEactpOcTSIyiVGHNwIhSu1LLuOi9PRzLbzstUKXWEuJux9OLotn/9Fw+uGYMUyM8+n0qm1Qi8K8L9cGj38flkn6OlshoX0dsZBJqm9Vk9VLVxZL4aEcGtc1qon0cufQfE3faY8vJEg5mVyIR4M97p7L2vmncPDUEDwcFFQ0tfL0vm0ve38v8t3bxwfb0ARVNrZlRgS6suX8asYEuVDe2ct3ncfyZUDDQyxIR6TNEp1T/M9TKw851Oh1ZBqdUdyfv/RNPRxseXxgNwIpNqWZbaNbpdOwyTDH7Z+uekUtHBwBwNKeKpbH6/UFfZ0t5GDKlGlo0NLVoev3x92WUs/id3byzNY0WjZZZUZ5sengGN08NRdrDfapRlBrhJ+ZJ9SV3zNC7pX49nEdFLzjqAt1s8XexpVWj41AnOlWsGVGUsmC8nJTcMzsCgP9tSO62wupip+Crm8bjZq/gREEtD/4cb/a2X5HeZ0yQK/YKKRUNLefdBPoZRKmi6uZ+fa3odDre25rGDV8epKapbZ7NnGgvvrt1AtsencWdM8NNFa+BYkqEB/OGeqPR6vi/dafaPUYulZzeeFtxNbg9Cqqb+GpfNgBPLow+74aspqmVZ1cnAnD79DBGBbowMsCZ5y8ezv6n5/LVTeO5eJQfNjIJ6aX1vP53CtNe3cZ1n8ex5lghza29v8EczHg42PDzHZNYNMKHFo2WB39O4NNdGQO9LBGRXken05kypfzETKl+Y5ifdZ8bS+tUNLRokEoEgtx6R5QCuGZCEKMCXahTqfnvOfYeA012RSP5VU3IpQITQ93bPWbuUC8clTIKa5oZH+KKVCKwPaWsTwfDONjIsDEEi/dmC19lQwuP/nqMaz6LI7O8AU9HGz64Zgxf3TS+Vxz8LWotp4r0xc9RAS49fjyRczM5zJ2YAGdUai3f7M/p8eMJgsDUCP3fwGCfbiyKUhbOrdNC8Xexpbi2mY97MKYy2N2ez24Yh41MwpZTpTy3OlFsgRlkKGQSJht6m40TUc6Ft5PeTq3W6ijrQ5vzmVTUqwh9ej0rNp9uh5NKBK6fFMy2R2fy5U3jmR7p2e+uqI54ZnE0MsNG6sA5JmUaRankYuvceJ+LN/5OoUWtZWKom8mm3xEvrkmipFZFqIc9D88f0uZ7cqmE2dFevHf1aA49N4/XLo9hUpgbOh3sSS/ngZ/imWho77PWC5yBQCmX8sE1Y7jdMHHy5fXJvLU5VTx3iFgVtc1qGg2uCdEp1X8YRamMsnqrHJeeYcjjC3S17fSEtc4glQj839IRSAyh50ZHkjlhXNO4YLdzTjxWyqVcFKMPlj6cU8WSWP3nfemWEgTBVNAs6wVRSqfT8dvhPOau2MHvR/MRBLh+UjBbHpnJhTG+vZb9lFpSR4tGi7OtnEA3UTjvSwRB4M4Z4QB8uz+7Vxx1xmuv/ee4ThgsiKKUhaOUS3lmsb5N6OMdGaSXdj90dmywK+9cFYtEgJ8O5vHKhu5nVYlYJsaxvLtTO1brpRIBPxf95ry3wv7ORU1TK0+sPMbYl7a0uf2pRdEcfW4+/106oldCQvuCME8HU/bbG3+ntPv3NNQwZSi5aPAMGjiaW8Uf8QUIAjx74dDzbsw2nihmVXwBEgHeWBbT4bREJ6Wc5eMD+fmOyex+YjYPzI3Ez1lJTVMrX+/LZvG7u7n4vT18dyDnLLedSNeRSASevXAYjy+IAvRhtOK5Q8SaMOZJudrJe3VSq0jH+DkrcbaV06rRkdaJqcCWhjHkvKeT99pjhL+zaXDI06sSqTezWI7dhsLn9HO07hm5bIy+bW9DYhG3TQtDIsDW5FJTq1pfYAo772HBNaNMH2T++MrjVDW2Eu3jyO93T+G/S0fgbNu7g3aOG6IsYgLEkPP+YOEIHwLdbKlubGV1L0QXGN2CSYW1Zve32p+IopQVsHikD7OiPGnRaHl61fEeBSYvHOHL/y6LAeDTXZmmEGKRwcGMIXpR6lB25Xkv2I2BjOl9NH2rqqGF1zYmM+rFTfx6ON90+2Vj/El5aSF3zQzvswl6vckDcyOxkUk4nFPF9pTSs74f7WN0Slnfprs9tFodL649CcCysQHEnMdqXl6v4tk/9G17d84MZ2ywW4fHn0mgmx2PzB/C7ifn8M0tE7hwpC9yqUBiQQ3/Wn2CCf+3hYd/SWB/RoUoovSQe2dH8PzFwwD9uePFtSfF36mIVXA6T0p0IPQngiBYddh5b07ea4/HFkQR4GpLQXUTL683nza+FrXWNGmsvZDzMxkX7Eqgmy0NLRrSSutYYsiW6stJfJ6GXKny+nNPTu6IBpWa/21IZuHbuziQWYlSLuGpRdGsvX8aYwwDhXqbxIJqQC9GivQ9UonAjQbR96u9WT3e6/i52BLgaotGq+NozuDNlRJFKStAEAT+79KR2CmkHMqu4oeDuT16vOXjA3nOENL8xqZUvjHkvohYP6Ee9kR6OaDW6tiefLaAciYRho1URmnvOqXqmlt5e0sqM17bzoc72mbU7HlyNm8uj8VGZjnVam8nJTdNCQHg9b9TzxKNo3z0TqmC6qZB4dz5I76AY3nVONjIeMzgrjkXOp2OZ1YlUtHQQrSPIw/Ni+zWc0olAjOHePLBtWOIe2Ye/7poGFHejqjUWv6IL+Dqzw4wZ8VOPt+dSXVj9zaiInDz1FD+d9lIBAG+3pfNik3nnjwpImIpnM6TElv3+htTrpQVhp1n9fLkvX/iYCPjtSv0ReYf43LNpo3vSE4VDS0a3O0VJtHxXAiCYAo8//1oAffNiUAQYPPJEpIK+8YtZZrA18X2PZ1Ox58JBcxZsYOPd2bQqtExK8qTzQ/P5K6Z4cilfXfJnWhwjsWIolS/sWxcIHYKKakl9exN73nb3YRQfcF1ME8zFkUpK8HfxZYnDBd4r25IJq+ysUePd9v0MB6cq78AfH5NEj/1UOgSsRwWjvAB9C1THRHu1btOqcYWNR/vzGD6a9t5e0sadWdYWBeP9CH5vwsJcO15IORAcNfMcBxtZJwqquWvxKI233O2lZumGaZYuVuqXqXm1Y3JgH56qJdjxxd5q44WsOlkCXKp0GtipJu9glunhbLxoemsvncqV08IwsFGRlZ5Ay+tO8XEl7fy2G/HSMirFp0+3eCqCUH8d8kIAN7fns4nO8XwcxHLRpy8N3BY8yCQXMM+PcS9b0QpgCnhHtw4ORiAJ38/Tm3zwBe+TK17kZ2bjHyZYTLvnrQyHG1kXBzTt9lS3RGlThbWcuUnB3jw5wRKalUEudnx+Q3jei3IvCOaWzWmvePIAFGU6i+cbeUsG6sXTL/am9Xjx5soilKiKGVNXD85hHHBrtSr1Dz4czxqTc+CIR+aF8mt0/QBtk+vSuT7Az2fMiBi/iwYrheldqSWdhjgF+FldEr1TJRqUWv5em8WM17bwf82JFPd2HbTdM+scN6/eoxFZ3m42iu43TBG9s1NKbT+42/T6Jay9rDzD7enU1qnIsTdjpumhnR4bGF1Ey+sSQLgoXlDTBXz3kIQBGIDXXjlspHEPTOXly8dyTBfJ1RqLSuP5LP0g71c/P4efj6Y2+3JpoOV6yYF86RhLPkrG5L55ZBY1BCxXIoNmVI+TqIo1d8YnTSnimqtqkig1erIq9K/roL6WLR4clE0we52FNU088yqgR9iZBykY4yLOB8hHvaMDXZFq4M/Ewp5YK7eLfV3Ut+4pdwN7XsVDed3TVc3tvDvP09w0Xu7OZitb9V77IIhbHp4BvOGefdLvlNKcR2tGh1u9gpTgVOkf7jR0AWxNbmUrPKedY1MMORKJeRVD9pp0aIoZUVIJQJvXRmLo42Mo7nVvN/DPChBEHjuwqEmYeq51SfEVr5BwHA/JwJcbWlu1bIz9dwtfMZMqYLqJhq6Ecyn0+nYkFjE/Ld28sLak5TXq9qEP8okAq9ePpInFkab1US97nLLtFDc7RVkVzTyZ0Jhm+8ZBT5jxoQ1klXewOe79dWk5y4c1qHrSavV8cTK49Sp1IwOcuFOg6DXV9jbyLhmYhDrHpjG73dP4bLR/ihkEk4U1PLUqkTT5L7MPspPs0bunhXOPbP0E2qe/eMEewf5qGMRy6WkVu+Y8BadUv1OhJcDcqlAbbOaguqmgV5Or1Fap6JFrUUqEfDt49eVnULGW1fGIpMI/HW8iJ8O5vXp83VERb2KEwX64tu0yI5Dzs/kUoNbalV8ARFejlwySu+Wemtz77ul3Oz1olRVB6JUq0bLN/uymf3GDr7dn4NWBxfG+LLt0VncNyeyX4uoxw2teyP9xZDz/ibM04E50V4APb4+DnG3w9PRhhaNlmN51T1fnAUiilJWRqCbHS9dqm+deHdrGkdyemYDNApTxovC59ck8eWentsURcwXQRBYaHBLrT1WdM7j3OwVeBmmlJzqYt5DQl41yz/Zz90/HCWnohFPRxsemBNhqlA52sj4+uYJXDk+qJs/hfnhYCMzuaU+3J6O5oxsKeP0new+nmQ4UOh0Op5bnUiLRsuMIZ7MHerV4fHf7M9mT3o5SrmEFctGIevDLIYzEQSBscGuvHllLAeensszi6MJcrOjrlnN1/uymbNiJ7d8fYg9aeUDXm22BB5fEMXSWD/UWh13fX+kR9NhRUQGipJaffue8Xwn0n8oZBIivfROYmtq4TO27vm72PbL+W1MkKtpQuqLa5O6vGfrLfYYihNDfZ3O275/JhfF+KKQSjhVVMvJwloemBuJRIAtp0p6/QLe1c4gSjWe3eqo0+nYeKKIC97axfNrkqhqbCXK25Efb5/IB9eMwW8AnEqJ+dWAfvKeSP9zs8H1/9vhvB61xwqCMOhzpURRygpZEuvPpaP90erg3h/iKevhWFNBEHhqUbSp6v2fv07y4Y508aLMillqqEptPlXSYfj2SEOoYmfH8+ZVNnL/T/Es/WAvh7KrUMolPDA3kq9uGs/vRwvILGvAy9GG3+6e3KUqmqVw3aRgXOzkZJY3sP6MbCljpkRP7b/myuqEAvamV2Ajk/DSkhEdVvNOFtbyynp97tQzi4f22WSi8+Fmr+COGeHseGwW39wygbnRXggCbEsu5bov4lj49m5+OZQ7aG3WnUEQBP53eQxjg12pa1Zzy9eHOqw+i4iYI8Y9lLfYvjcgGFu3k6xQlOrr1r0zuX16GLOiPFGptdz7w9EBGayyK1UvSs3o4v7OxU5hcqT8EZ9PuKeDKQD9zc29O1DDJEr941x1NLeKZR/v567vj5JV3oCHg4KXlo5g3QPTmBI+cPvV4/mnnVIi/c+0CA8ivRxoaNHw66GeuRBNuVLZoiglYkX8Z8lwwj3tKa5t5r4fj56VYdNVBEHg8QVRPDAnAoDXNqbwf+tOnTVJTMQ6GO7nRJS3Iy1qbRvx5KzjDCfBxIKON4tNLRre3JTC3Dd3svZYIYIAV4wNYMdjs5kb7cUNXx6koLqJMA97fr97CtE+vZsfZC442Mi4Zaq+Hfb9bemmvx/j9J38qiZa1D37WzU3qhtbeOkv/TjqB+ZGEuR+7k14U4uG+386SotGy7yhXlw/Kbi/lnlOJIbJfV/cNJ5tj87ipikh2CmkpJTU8eTviUz53zbe3JRCqcFNIdIWpVzKp9ePJdDNltzKRh75NUE8b4hYDK0arSlbRnRKDQwjDKJUZ4tfloBRlOrrEOwzkUgEViwbha+zkszyBu7/qefZs11Bp9OZQs47myd1JpeN0RdLVycUotZoeXBuJDKJwM7Ush53hZyJq70+RqKysQWdTkd2eQP3/nCUyz7cx+EcfTH1/jkR7Hh8NtdNCu43J3d7NLVoSDM4kGMCXAZsHYMZQRC42bCv/2Z/dpsuiK5idEodyanq8XW7JSKKUlaKo1LOJ9ePw8FGRlxWpcl50BMEQeCRC6J4dvFQAD7fk8Vjvx0blH841o4gCKYNwKqj+ec8zliZOVfYpE6n4++kYua9uZN3t6XTotYyJdydv+6fxhvLRuFiJ+f2bw9T2dBCTIAzv901uV83aQPBjVNCcLSRkVJSx5ZTJYD+YsdOIUWj1ZFX1bPJmebG/zYkU9HQQqSXA7dP7zgb6r/rTpJhcMu9dsUos8tHCPWw54VLhrP/6bk8u3go/i62VDa08O62dKa+uo0nVh4jQ8ydOgt3Bxs+uW4cNjIJ21PK+EicyCdiIRhdUjKJYHJQiPQvIw0X28etSJTKGwCnFOjfiz+7YRy2cim7Ust4ZUPPrw06S0pJHaV1KpRyCWODXbt8/1lRXrjaySmrU7E3o4IgdzuWjdO7pVZs6j23lDFTqkWt5YGfE5j75k7WJRYhCLB8nL6Y+ugFUTjYyHrtObvLyaJaNFodHg42eDuJovlAcelof5xt5eRVNnWYxXs+hng54mwrp7FFY1XO0M4iilJWTISXA28sGwXAl3uzOhQXusLtM8JYsWwUUonAqvgC7vzuSIdT2kQsk6Wj/ZEIcCi7ipxzZB2N8NdXMNNK689qY8oub+Dmrw9x53dHKKhuws9ZycfXjeGH2yYy3E8vZinlUt6+Mpa50V78ePsk3B2s/6TqbCvnhil6B9B72/RtsIIgmHKlsqwo7Dwus4KfDXbmly8biUJ27lPOxhNF/BiXiyDAW1fGmjaG5oizrZzbZ4Sx8/FZfHTtGMaHuNKq0fHr4XzmvbmTu747MmiDKs/FMD8n/rNkOAArNqVwILNigFckInJ+Sg2ilJejjVUM3LBEhvk6IRH0AmGJlThSjU6p4A6cw33FCH9nVizXXxt8sSer3wYY7UrVu6Qmhbl3KwhcIZNwsSHg/A/D9cy9syOQSwX2ZVSwP6N3zilntjWuPVaIRqtjVpQn6x+YzmtXjMLHjAYeGN2DMQFiyPlAYquQsmysXiD9/kD3pw1LJALjQ4y5UoNvjySKUlbOwhE+3DtbnwX15O/He+1C4PKxAXx2w1iUcgnbkku59vMDVNT3LLtKxLzwdlIyNULfJ//r4fb7pH2clHg4KNBodSa3VHOrhhWbUrjgrV3sSClDLhW4d3Y4Wx6dycIRvmedOKdEePDFTePNourUX9wyNRRbuZTEghp2p+kzFkKsLOy8sUXNE78fB+Cq8YGmE217FFY38eTviQDcMSPM9Lozd2RSCYtG+vLbXVNYdc8U5g/zRqeDjUnFLPlgL9d+fkAMRT+D5eMCuWyMPu/woZ8TBiTTRESkKxjbcj3FPKkBw1YhNYWdJ+Zbh1tqIDKlzmTxSF8enT8E0A8wWh1f0OfPacyTmh7Z9dY9I5eN0V/4b0wqpl6lJsDVjqsMA3He2pzao3NtaV0zL6xJYubrO0y3OSll/H73ZL6+eQJDfc0vVkLMkzIfrjXETWxPKTU5IbvDxEEcdi6KUoOAR+dHsXikD60aHXd8e5j00rpeedw50d58f+tEnJQyjuZWs/TDvb322CLmwTUT9Cf7Xw7ltZt1JAgCY4L0NuzD2VXEZVaw+J3dvLctnRaNlumRHvz90AweXxCNnWLwiE7nw93BhqsmBAL6SiVAgGFqS1GNdVSCX92QTE5FI37OSp65cOg5j1NrtDz0i16giAlw5tH5Uf24yt5jTJArn90wjk0Pz+CyMf5IJQJ70yu47os4lnywl01JxYNenBIEgZeWjiDUQ593+OLapIFekohIh5Sc4ZQSGThGmPIrLV+UamrRmNpCBzKu4L45Edw0JQSAR387xpaTJX32XE0tGlN488wh3S86jQpwJszDnuZWLRsMeaf3zo5AIZNwMLvSNN2vK+RVNvLc6kSmvbqdr/dlt9nrvnfNGMYGn7ugNtAkFlQD4uQ9cyDUw55pER7odPDjwe67pc6cwDfY8jdFUWoQIJEIvLk8ljFBLtQ2q7npq0M9nshnZFyIG6vumUqQmx15lU1c+uE+9nbjpCBinswb5o2Xow3l9S1sTCpu9xijA+aVDclc+ekBMsv1mUAfXTuGb2+ZMGDT08ydm6eEIhFgZ2oZqSV1+Bos4YXVTQO8sp6zL72cb/bnAPDqFTE4KeXnPPaNTakczKrEXiHlnatGd9jiZwkM8XbkzeWx7HxcH4qulEs4nl/DHd8d4eL397D1VMmgFqfsFDLeWDYKiQCrjhaw6RzvKyIi5kCZwSkl5rUMLMaLbmsQpYy5kc62cpxtz31u7GsEQeDfFw3jstH+aLQ67v7hSIeDbXpCXFYFLWotfs5KwnuwJzwz7/QPg7vLx1nJdRP1LpUVmzrvlkopruOhn+OZ9cYOvj+QS4tay5ggF76/dSJTwt2BsyfwmRMNKjXphpBz0SllHlw3SV/I//VQHip192Jthvs5YSuXUtusJn2QZZRa9u5fpNMo5VI+v3E8Ie525Fc1ceOXB6lp7J3WiQgvB1bfO5VxhrHfN355kJ97oBKLmA9yqYSrDW6p7w0iwz+pbmp70r56QiCbH5nJopFnt+qJnCbI3Y4Fw30A+GJ3Fn4Gp5Sli1L1KjWPr9S37V0zMahDq/7mkyV8bAi9fu2KUaZcLWsgwNWOFy4Zzt4n53DPrHDsFFJOFNRy6zeHWfrBXranlA5acWpssCu3z9CH3j/zR2KvnYtERHqb05lSYvveQGJNTqncioFt3TsTiUTg1StiuCjGl1aNjvt+PMpv54hr6AnGmILpkZ493hcuidWLUvszK0z7pbtmhaGUS0jIq2Z7SsdB00dyqrjtm0MseHsXqxP0mVHTIz346fZJ/H73FKZFeuBqyLSsajRfUepkUS1anT5Gw0tsLzYL5g31xtvJhoqGFjae6F7BTSaVMCpQ/353JKeqN5dn9oii1CDCzV7B1zdPwMPBhpNFtdz09UHqVepee+wfbp/I0lg/1FodT61K5P/WnezXcbMifcPVE4KQSgQOZleSUny6PbOmsZUHforng+2nJ2n9d8lwXrksZkCrf5bEbdP1Y2T/SCgwOYQKqi27fe/FNUkUVDcR4GrLM4vP3baXW9HII78mAHDz1BAujPHtpxX2L+4ONjyxMJrdT8zmzplh2MqlHMuv4eavDnHph/vYlVo2KMWph+cNIcLLgfL6Ft7YlDLQyxERaRdjsLbYvjewWFPYudEpFeBqO8Ar0SOXSnjnqtFcNT4QrQ4eX3mcFZtSerV1yBhyPmNI9/OkjAS62TEx1A2dDlYn6N1SXo5KbpwcAsCb7WRLtai1/JlQwKUf7uXyj/ax5VQpggCLR/qw9r5pfHfrRCaHu5sEMzfDpE1zdkqZ8qTE1j2zQSaVmDLOfuhB4LlxOuVRUZQSsWZCPOz5/rYJuNjJic+t5rZvDp01Na272MikvHVlLA/P04cnfrY7ixu/OkilGb+pi5wfH2cl84d6A/D1Pn3+0Z60cha8vYs1xwqRnjGRSCYV31K6wpggV2IDXWhRa9mWrK/ulderum37HWj+TCjgtyP5CAK8sWzUOcPrm1s13P3DEeqa1YwJcuHpRecWr6wFdwcbnl40lN1Pzub26aHYyPRV3Ru+PMj1Xxw0TdEZLCjlUtM0vu/jcgbdzy9iGRidUt6iE2FAOTPs/LiFh50b3T1Gd7Q5IJUIvHLZSO6cqXewvrctnTu+O0Jdc89drEU1TaSV1iMRYGqEe48fDzC18K06WmASoO6cGY69wZG8yZCPVV6v4r2taUx7dRsP/pxAfG41cqnA8nEBbHlkJh9eO7ZdUcfolKo0Y6dUYn41ADFi655Zca5CflcwilJHckVRSsTKifZx4ttbJuBgI+NAZiV3fnek14QpQRB4cF4kH147BjuFlL3pFVz83h7xgsPCuXlqCAA/Hczj/p/iue6LOIprmwn1sGflXZO5f04EAIcG4bSIniAIgskttT6xCJlB4Cu2wLDznIoGnv3jBAD3z45gUti5N58vrk0iqbAWN3sF718zxuJzpLqCh4MNz144jN1PzubmqSEopBL2pJdz0Xt7eOjn+B5NbbE0poR7cMkoP3Q6eG71iUEX6ili/hhFKU/RKTXgjLSSXKlCw/ndnEQp0O9Hnl40lBXLRqGQSdhyqoRF7+zu8RSw3YapezEBLrgYHEg9ZdFIX2xkEtJL60kqrAX0HRs3T9Xvp+787ggP/RzPlFe2sWJzKqV1KjwdbXh43hD2PjWH164Y1WG2lZud3u1f1WC+reXHDX8HI0SnlFnh46xk3lAvAH6Iaz/25HyMDtSLUpllDYPK2NHlK4Ebb7yRXbt29cVaRPqRmAAXvrp5PLZyKTtTy7jtm8M0tvROKx/ox83+cc9Ugt3tKKhu4vKP9vXLyFmRvmFCqBtyqV4wWXusENAH+q17YBqjg1yZGKoXIPZmlA/KVqSesGC4jylMXm24KC+0sBa+FrWWB36Kp16lZlywKw/MjTznsd8fyOGng3kIArxzVazZbcz7Cy9HJc9fPJytj85kSawfAKsTCpm7Yif/t+4k1WZcoe1Nnr1wKPYKKQl51aw9XjjQyxERMaHWaCmvN2RKiUHnA44xzNnSi5xFRqeUs3m67y4fG8Cvd04mwNWW/Komrvx0P//962S3XVM70wyte5Hdn7r3T5yUcuYZHPzGwPOimqY2BfbVCYW0aLTEBrrwzlWx7H1yDg/Oi+xUPpy5Z0rVNbeSVd4AiCHn5sh1k/TB+6uOFtDQjZgcV3sFYZ76jNX4QeSW6rIoVVNTw7x584iMjOTll1+moEAUGiyV8SFufHXzeOwVUvakl3Pjlwd7xaprJMrHkTX3TmNWlCcqtX7s+wtrktqMWxUxf3Q6Hd/sy6ZVc1ps+vDaMby0dCR2Cn171rgQVxQyCSW1KtM0EJHOIZdKuGp8YJvbLK0y8vrfyRzLr8FJKePtq2LP2ca5P6OCF9YkAfDYBVEdhqAPFgLd7HjnqtGsvW8aU8LdadFo+Wx3FjNf38F3+7PRWLl7yNtJyV0zwwF9FkirBecQzpkzhxdffPGs26uqqpgzZ84ArEikJ1Q0tKDT6Vub3O1FUWqgOTPs3JKLX8aik68ZF2RiA13Y8OB0rhgbgE4HX+zJYvYbO/n5YG6X3qPVGi17DCHnM6O8enWNS0frW/i+2JPFtZ8fYOr/tvH5nqw2x/x+92RW3zuVJbH+XXJkuxocXea6F0sqrEWnA38XWzwcxPcmc2NquAch7nbUq9SsO969iZZjgwy5UqIodW5Wr15NQUEBd999N7/88gshISEsWrSIlStX0tpqvjZHkfaZFObOd7dNxFEp41B2Fdd9HterFXpnOzlf3Dje1N719b5sln28b1C1qFgytc2t3PPDUV5Ye7LN7aX/CBpVyqVMCHEDYE96eb+tz1q4ckIQZ0RzUdmgGrjFdJG1xwr5bLd+I/jaFTEEuLY/USi3opG7fziCWqtjSawf98wK789lmj0jA5z54baJfH3zeKK8HalpauVffyZx0Xt7etw+Ye7cMi0UDwcFORWN/NoHk5/6ix07dvD++++zdOlSGhoaTLe3tLSwc+fOAVyZSHcordW/D3s4KNpkJ4oMDG3Dzi3nHHkmao2W0jpj+555OqWMOCrlvLFsFF/dPJ5QD3vK61U8tSqRWa/v4Ou9WdR2ooh9LL+GmqZWnG3ljOqlNrOyOhU/H8zliz2Zptv2pleg1cHEUDf+s2Q4tnIpAKkl3SuSupm5UyrRGHIuuqTMEolEYLmh2PxLN/c0plypQRR23q0gD09PTx555BGOHTtGXFwcERERXH/99fj5+fHwww+TlpbW2+sU6UPGBLny0+2TcLWTcyy/huWf7O/VsfRSicCjF0Tx2Q3jcLbVP8fid3d3e1ymSP9woqCGi9/bw4YTxcilAv++aJgpmPiz3VlnVcumGazZxqqYSOfxd7FlTvTpKmJ5vXluhP5JcnEtT6w8DsCdM8NYOKL9CXr1KjW3fXuI6sZWYgKcefXymB6PhbZGBEFgVpQX6x6Yxn+WDMdJKeNUUS3LP9nPAz/FW2TWWGewt5Fx32x94eLdrWm9lnE4EGzZsoXi4mImTZpEdnb2QC9HpAecnrxn3uLBYMFWIWWItz7s3FJzpUrqVGh1IJcKeFiI+252lBd/PzSD5y4cioeDDQXVTbyw9iQT/m8LD/+SwI6U0nO+Z+80TN2bFunR7UE4KrWGfenlvLLhFIve2c34/9vCU6sSOZDZtliz47FZ/HLnZG6YHMJjC6IAeGdL984nxgnSNU3mabYw5kmJk/fMlyvGBCCVCBzJqepWB8kYgyh1LK9m0Eyy71G6bFFREZs3b2bz5s1IpVIWL15MYmIiw4YN46233uqtNYr0AyP8nfn5jsl4O9mQWlLPpR/u5VRRba8+x/xh3oYMIhfqmtXc9f0RXliTZLGTxqyZXw7lctmH+8ipaMTfxZbf7prCLdNCWTY20LQpWXU0v819pkXoRakDmRUW3YIzUFw7Mdj0eW+Kwn1FTWMrd353hKZWDdMiPHj8gqh2j9NodTz0czypJfV4Odrw6fXjUBqqmCLtI5NKuGFyCDsen83VE4IQBFhzrJA5K3bw+e5Mq9ygXD0xCD9nJSW1KovOH/T19WXnzp2MHDmS8ePHs2PHjoFekkg3OT15zzLEg8HAmS18lojx3O7jrERiQe47hUzCbdPD2PPkbP67ZDiRXg40t2r5I76Am746xOj/bOa2bw7z2a5MDmVX0tSi39cbRamZnWzVb2rRcLKwltXxBbywJoklH+xl5PObuObzOD7ZmWm6Lhnp78zjC6J47YoYABxsZPickdF1reF8UlzbzHf7ux427aTUi1LNrVqzvEYxTd4TRSmzxctJyewo/ev+t264pSI8HXBUymhq1ZDczSl+lkb787o7oLW1lTVr1vDVV1+xadMmYmJieOihh7jmmmtwcnIC4I8//uCWW27h4Ycf7vUFi/QdUT6OrLpnKjd9eZC00nqWfbyfT64fy9SI3gsnDHC149c7J/PG3yl8siuTr/dlcySnivevGU2wu32vPY9I92jVaPm/daf4el82APOGevHGslGmiSm2Cil3zQzjpXWneG9bOpeNCUBuqH4N83XC3V5BRUML8bnVTAh1G6gfwyKZMeT0pu23I/m8vmzUAK6mY9QaLQ/8HE9ORSMBrra8d/XodqugOp2OF9YkseVUKQqZhE+uH9tm4yjSMW72Cl65bCTXTAji+TUnOJpbzUvrTrHmWCH/uyyGYX5OA73EXsNGJuWWaaG8tO4Un+7OZPm4QIu6aANM7j8bGxt+/PFHXnrpJRYuXMiTTz45wCsT6Q5Gp5Sn6JQyG0b6O7PySL7potzSKDSFnJtvnlRHKOVSrp8cwnWTgjmWX8PKI3lsPllCSa2KLadK2HKqBACJoD+20SBO7UgtJb+6CTuFFK1Oh1aro0Wjo7qxhYr6FsrrVeRVNpomE/4TT0cbpkd6MHOIJ9MiPHA35ChptTre2ZJGQXUTW06VcFGMn2mdD80fwhMrj/PBjnSunBBoEpo6g6NShiCATgd1zWpsHMynkFbT2Ep2hT4CRWzfM2+Wjwtky6lSfj+az2MLokzXS51BIhEYE+TKztQyjuRUmQR5a6bLopSvry9arZarr76agwcPEhsbe9Yxs2fPxsXFpReWJ9Lf+LvYsvKuKdzx3WHisiq56auDvHzpSJaNCzz/nTuJXCrh6cVDmRjmxiO/HiOxoIbF7+zm+YuHs2xcgNjWM0BUNbRw749H2ZdRAcAj84dw3+yIsy4Mr50YzMc7M8mvauL3I/lcNSEI0L+BTonwYO2xQnamloqiVBeRSgTCPOzJLG84/8EDiE6n4/k1SexMLUMpl/DxdWNNk2r+yUc7M/juQA6CAG8tj2W0IbhRpGuMDHBm5V1T+OVwHi+vP8Xx/Boufn8Pt08P46F5kVbjPLtqQhDvbE0js6yBLadKuGC4z0AvqUv8M3z5ueeeY+jQodx4440DtCKRnlBmnLznKDqlzAVju5Ix7NzS9otFNcY8KcsUpYwIgkBsoAuxgS78d8kIThbVsjO1jITcahLyqimtU5kEKYD1icVA5yI7nG3lhHvaExPgwuggF0YHuhLoZtvu/7VEIrAk1o8Pd2SwOr7AJEoBXDban092ZpBR1sDnuzJ55Bxu7vaQSAQcbGTUNaupaWo1qzDxE4V6l2CQm52pYCxinsyO9sLDwYbyehXbkktZ0MU9zdjg06LUjVNC+maRZkSXRam33nqLZcuWoVSeu3Lk4uJCVlbWOb8vYt4428n59tYJPPrrMf46XsTjK4+TXFzH04uiu90T3h5zor1Z/8B0HvolgYNZlTzx+3G2JpfwymUxppBBkf4htaSO2745TG5lI3YKKW8uj2XhiPbfPM90S72/Xe+WMk41mRPtydpjhWw9VcrjC6L780ewCm6dHsqzf5wA9GHyXk7mV6H/bHcmP8TlIgjw9pWjz1m9WXU0n9c2pgDwrwuHcWFM+3lTIp1DIhG4ekIQc6O9eGFtEusTi/l4ZwYbThTx6uUxTApzH+gl9hgHGxnXTwrmwx0ZfLEny+JEqaysLDw927apXH755URHR3P48OEBWpVIdyk3tO95iKKU2TDM1wm5VKC8voX8qiYC3dofrGGumJxSZh5y3hUEQWC4nzPD/U7vBcrqVFz5yX5Tke3uWeHUN6tpaFEjFQRkUgGpRMDVToGbvQJ3Bxv8nJWEeTp0ef9/6Wh/PtyRwY6UMqoaWkxFMplUwmMXRHH3D0f5fE8W108OwbMLf8tOSjl1zWpqzSxX6pjBJSi6pMwfuVTC5WP8+WRXJr8eyuuyKDVmkE3g67LCcP3113coSIlYBzYyKe9eNZoH5kYC+pGrN399iJrG3n1z9nOx5afbJ/HUomjkUoG/k0pY8PYudqSU9urziJybfRnlXP7hPnIrGwl0s2XVPVPOKUgZuXZiMB4ONuRXtc2Wmh3lhVQikFxcJ05Y7AZnbur+TCgcwJW0z/rEIl5enwzAcxcOO+frZHdamSkA/fbpodwyLbTf1mjteDkp+fDasXx6/Vh8nJTkVDRy9WcHeHn9KYsOCDdy/eRgJALEZVWSWda9yUkDRXBwcLvV/OHDh4tuKQukwjAO3kMskpkNSrmUob76tuWEvOqBXUw3KKzWO6V8LbR9r7O42yuobVYD8ONtE3lyYTT/XTqCN5fH8vqyUbxyWQwvLR3JoxdEcfPUUC4Z5ce4ELduFaQjvR0Z5uuEWqtjXWJRm+8tHOFDTIAzjS0aPtie3qXHdTKEnRt/DnPhmOF1HxvoMqDrEOkcxk6j7SmlppbwzjIq0BmJAPlVTV2+ryXSe7YXEatDIhF4ZP4QPrx2DLZyKbvTylnywR7SSno3cE0qEbhrZjh/3DOVSC8HyupU3PTVIZ7/84RVXGSZM2uOFXLTl4eoU6kZH+LKn/dOI9rn/Dk1RrcUwHvb0k3/Ty52CsYZJkZsNWQLiHQeB5vTbVi//yNIfqA5lF3Jw78kAHDTlBBumRrS7nGHsyu549sjqLU6Lh7lx9OLhvbfIgcRFwz3YfMjM7hyXCA6HXy6K5Ml7+/lZGHvDqjob3ydbZkVpZ9E+cuh7o1SFhHpDcrrRaeUOWK8GLdEUaq41vqcUu1xqriW8noVtnIpY0P6vm1/6Wh9294/h2QIgsATBtf+j3G5XSqWOtvqm4nMbQLfsTx9+94oUZSyCCK8HBgX7IpWByuPdG1f76iUmyaOWuL7XVcRRSmR87J4pC+/3z0FfxdbsisaWfLBXv5M6P3pSCP8nVl7/zRuMvTNfrM/h8Xv7uZIzuCwLfY3n+/O5IGf4mnRaFk80ofvbp3YpSrVdZOC8XFSUlDd1Ga6ybyh3gBsOSW63bqKneJ0R3VycR1JheYxYSgxv4ZbvjqESq1l3lAv/nXRsHYdIcfzq7npq0M0tWqYHunBG8tiLC6s2pJwVMp59YoYPrthHO72ClJK6ljywR4+3JGORqs7/wOYKVeN11cWVx7Jp0VtfZMGRSyDinq9U8pddEqZFaMCXIDTjhFLoqTWmFNm3aLUrtRyAKaEu2Mj6/vMw0tG+SMIcDin6izhaVqkB1PC3WnRaHl7S1qnH9MYjG5O7XvFNc0U1zYjEWCEv/UMOrF2lhv2NL8dzjsre/J8GEV4S3y/6yqiKCXSKYb5ObHmvqlMCXensUXDgz8n8PSq473uZFLKpbxwyXC+uWUCXo42ZJY1cMXH+3jpr5OmEbMiPUOn0/Hy+lO8tO4UoHe9vHf1mC6HJSvlUh6ZPwSA97enm1o75w3Ti1IHMiuobTafk7klYG/TNubvj6O9L/52lbSSOm74Mo46lZqJoW68f80YpO0ITaeKarn+i4PUG4779Ppx/bIZFYH5w7z5++EZzB/mTatGx2sbU7jhyzjKDJk4lsacaC88HW2oaGhhb0b5QC9HZBDS3KqhXqVv2xGdUuZFbJALoA87b9VYjmit0eqoGCTh+TtT9UXJmVGe5zmyd/BxVjLZkKu45tjZ0QdPLNS7pf6Iz+90t8fp9j3z2cca86SGeDu2KWKKmDcXxfhir5CSXdHI0dzqLt03xijCW+jE0a5gcaLUBx98QEhICEqlkokTJ3Lw4MEOj//tt9+Ijo5GqVQycuRI1q9f3+b7Op2Of//73/j6+mJra8u8efNIS+u8kj6YcHew4btbJ/LA3EgEAX46mMfSD/b2Se7HzCGebH54JpePCUCng8/3ZLH43d0cyq7s9ecaTGi1Ov79ZxKf7soE4OlF0Tx/8bB2RYbOcPnYAIZ4O1DT1MqHO/X9+qEe9oR72qPW6tiZUtZrax8M2CvaijjrE4vQDqDjJbeikWs/j6OqsZVRAc58fuO4dsXL9NI6rv8ijpqmVkYHufDFTeOxVYiCVH/i4WDDp9eP5bUrYrCVS9mbXsHid3ezzwJFHZlUwiJDXtn640XnOVpEpPcxtu4ppBIcbcSLP3Mi1N0eJ6UMlVpLSnHvxkn0JRX1KrQ6kAj6/bS1Uq9Sczhb3+Ewc0j/iFIAS0f7A/BHfMFZbpTYQBcWDPdGq4M3NqV06vFOO6XMJ1NKzJOyTOwUMhYY9jR/xHethW9UoD5r9nh+zYBeD/QHFiVK/fLLLzzyyCM8//zzHD16lFGjRrFgwQJKS9tvE9q3bx9XX301t956K/Hx8SxdupSlS5dy4sQJ0zGvvfYa7777Lh9//DFxcXHY29uzYMECmputP1CsO0gNOVPf3TIRDwcFycV1XPzeHlYdze+yJfF8ONvJWbF8FF/dNB4fJyVZ5Q0s/2Q/L65NorHFfE4SloJGq+PpVYl8dyAHQYD/XTaSO2eG92ikslQi8KShAvXV3mwKDJNl5g/Tv/luPNG5EcAiemRSCUr56bflwppmEgaoOpJT0cDVnx2gtE5FlLcjX988AUfDJu1MThbWcuUnByivb2G4nxNf3zwBB/EibkAQBIHl4wJZc99Uhnjr8/mu+zyOd7akWVw736IR+mmNm06WWJQbQsQ6KDe07nk4KHp0jhTpfSQSwZSnY0k5K6UG56q7g023C4GWwL70ctRaHSHudgS72/fb8y4c4YNCJiG9tJ6kdrIVH7sgCokAfyeVEN+JaWbOBqeUOWVKGd0yYp6U5XGpQTT963hRl2IJhng7opRLqGtWk1XR0FfLMwssSpR68803uf3227n55psZNmwYH3/8MXZ2dnz55ZftHv/OO++wcOFCHn/8cYYOHcp///tfxowZw/vvvw/oXVJvv/02zz33HEuWLCEmJoZvv/2WwsJCVq9efc51qFQqamtr2/wbbEyL9GDdA9OZGOpGQ4uGR349xn0/xlNlmFbTm8yO9uLvh2ewfJzeNfXV3mwWvbObA5kVvf5c1opao+Wx347xy+E8JAK8uXwUV00I6pXHnhPtxYRQN1rUWt7clAroraoAW5NLaFCJAmJXkEv1b8vGcb8bEvvfKZJeWs/yT/ZTUN1EmIc93902wTRm+UwS8qq5+rMDVDS0MMLfie9unWjayIkMHJHejvx57zSWjwtAq4O3tqT2yfTUvmRCqBvu9gpqmlrZnyG+14v0L8Y2K2t2tFgylhh2XlqnL3Zbf+ue3iE/ox9dUqB3Ns0bqh+S0V7ubaS3I5eNCQDgfxuSz1tIdzIEnZtL+55Wq+O4MeTc0NIlYjlMCffA28mG6sZWtndhwrxcKjFN5j5u5S18FiNKtbS0cOTIEebNm2e6TSKRMG/ePPbv39/uffbv39/meIAFCxaYjs/KyqK4uLjNMc7OzkycOPGcjwnwyiuv4OzsbPoXGBjYkx/NYvF2UvLDbRN57IIhyCQC6xKLWPD2LtMJqTdxtpXz2hWj+Prm8fg668egX/XpAZ5ceZzqxt4XwqwJrVbHE78f54/4AmQSgfeuHsOlowN67fEFQeCZxfoJa6vi8zlRUMNwPyeC3e1obtWyLVkMPO8KRlHqAkM21/rE4l53IXZEcnEtV326n5JaFUO8Hfj5zknthrIezKrkus/1LXtjglz44bZJ3RrnLNI32CqkvHbFKFYsG4VSLmFXahlLP9xLemnvt1v3BVKJYBqa0BfnFBGRjjBN3nMQ39PMEUsUpYwZf9YsSul0OtP7dX+27hlZGqt3o/yZUNiuO/jh+UNQyCTEZVWeVxgwt6DzzPIG6lRqlHIJQ7wdBno5Il1EKhFYYnh9djUv9vRwB/MYftRXWIwoVV5ejkajwdvbu83t3t7eFBe33yJUXFzc4fHGj115TICnn36ampoa07+8vME7tlomlXDfnEhW3TOFME97SutU3PjlQZ7/80SfBJPPivJi08MzuGai3uXzy+E85r25kz8Tzu4hF9FvEF5Ym8SqowVIJQLvXzOGCw0upt4kNtCFS0b5odPBC2uSALhwpP551omZMF3CaOufEuGBnUJKQXUTx/P750R0oqCGqz7Vt+IN83Xi5zsmtytIbT1Vwo1f6kPNJ4e5iw4pM+bysQGsvEs/PTWrvIFLP9jLtuSSgV5Wp5gW6QHA3nTLy8USsWyM7XuiU8o8MbYvZZTVm42T5XyUGibveVqxKJVV3kB+VRMKqYRJhuDx/mRWlBfOtnJK61TtdlP4u9hy89QQAF5Zn4y6g9Zw457GXEQpY57USH9nZFKLuXwXOQNjC9+25NIuOdeNuVKWJMJ3B/FV3Q1sbGxwcnJq82+wExPgwrr7p3Pj5GAAvtmfw6J3dvVJ24WjUs7Ll47kt7smE+nlQHl9Cw/+nMANXx4kx8r7bbvKa3+n8O1+fYbUimWjWGgI2usLnl4cja1cyuGcKtYcKzSJX9tTSk1TjETOj9wgSsmlArOj9Vb09f3QwrcrtYwrP9lPdWMrowJd+On29p1PP8TlcPu3h2lq1TArypOvbh5/1tRAEfNihL8zf943lQkhbtSp1Nz6zWE+3ZVh9kL+1Ai9KJVcXGdqfRER6Q9OO6WsV0CwZDwcbAhwtUWng8R+Ktr0lFKTU+rsQo+1YHRJjQ91HZB9gUImYbGhILo6vn03yj2zInCxk5NWWs/KI+cOnXZQ6tdf12we+1dTnpTYumexDPV1ItrHkRaNlnVd2Ncb/89PFtV2KY/K0rAYUcrDwwOpVEpJSdsKb0lJCT4+7V9o+/j4dHi88WNXHlPk3NgqpLy4ZATf3DIBHycl2RWNXP3ZAZ5eldgnlazxIW6se2A6jxrsuLvTyrngrV18uCNdDMYFPtiezkc7MgD4v6UjTZNJ+gpfZ1vunR0O6CtQoR72hHnYo1Jr2XrKMpwZ5oBUqhelWjU6k9tsY1LftvCtPJLPLV8foqFFw+Qwd76/dQLOdm2dTzqdjjf+TuHZP06g1cGysQF8dkP70/hEzA8PBxu+v20i10wMQqeDl9cn8+Lak2YdgO5mr2C4n77oI+ZKifQnFWcEnYuYJ5bWwmfKlHKyXqFzIFv3jBjdKBtOFNPcenbHhrOtnPvnRALw5ubUcw5OMg5saTCTwUpGp5QYcm7ZXGqaEtn5KXzB7nY428ppsbCJo13FYkQphULB2LFj2bp1q+k2rVbL1q1bmTx5crv3mTx5cpvjATZv3mw6PjQ0FB8fnzbH1NbWEhcXd87HFDk/M4d4sumR0y12Px3MZf6bO9l8sveFCYVMwv1zI9n44HSmhLujUmt5bWMKF7+3hyM555+uYa2sPJLP63/rx94+u3io6f+ir7ltehiBbrYU1zbz4fYMk1tqTUJhvzy/NSCX6N+W1RotM4Z4opBKyKloJLO8912AOp2O97el8dhvx1BrdVwyyo+vbxl/1pS95lb9MIP3t6cD8ODcSF67IsaUfyViGShkEl6+dCTPXajPgPt6Xzb3/Xi03Y27uTA+xA2wnAtPEetAdEqZP0ZRKj63ekDX0VlKrTxTqrlVY2qZ6++Q8zMZF+yKv4st9So1W0+1nxt13aQgAt1sKa1T8fnurHaPMTq9GlQDf35UqTWcLNIP1YoVRSmLZkmsP4IAh7KryKts7NR9BOGMiaNWHHZuUVcUjzzyCJ999hnffPMNp06d4u6776ahoYGbb74ZgBtuuIGnn37adPyDDz7Ixo0bWbFiBcnJybzwwgscPnyY++67D9D/Jz/00EO89NJLrFmzhsTERG644Qb8/PxYunTpQPyIVoOTocXu5zsmEeJuR0mtitu/Pcy9Px6luKb32zDCPB344baJrFg2Clc7OcnFdVz+0T4e/+2YaXM5WNiXXs5Tvx8H4K6Z4dw+I6zfnlspl/LchcMA+HR3JmOCXAHYkVpmCvkU6RyCIOBgI2NimP6ifNs5NlfdRaXW8MTK47xhmJh458ww3r4yFhtZW+dTUU0TV36ynz/i9blkr14+kofnDxHHpFswt00P472rR6OQSthwopjrPo8z24ERxiyF/spVExGB004pd9EpZbac6ZQy91ZksP5MqUPZlTS3avF2siHK23HA1iGRCFwS6wfA6nam8AHYyKQ8viAagE92ZrS7P7VX6PdCDS3qAX99nSqqo1Wjw81eQYCr7YCuRaRn+DgrmRqujyb44xwtpu0xKsCwF7LiAp1FiVJXXnklb7zxBv/+97+JjY0lISGBjRs3moLKc3NzKSo63aM5ZcoUfvzxRz799FNGjRrFypUrWb16NSNGjDAd88QTT3D//fdzxx13MH78eOrr69m4cSNKpfX2fPcnk8Lc2fjQDO6aGY5UIrDueBFzV+zgs12Zvd5iJwgCl48NYOujs1g2Vj9d7rcj+cx5Ywff7s826zaV3iKtpI47vz+CWqvjohhfnlgQ1e9ruGCYN9MiPGhRa/l2fzajAl3QaHXtjugVORu14XVqDDyfY8iV2tqL4dSltc1c9ekBfjuSj0SAFy4extOLhiKRtBWajuRUcvF7ezmWX4OLnZxvb5nAleP7x3Un0rdcPMqPb26ZgKNSxuGcKq769AAVZijgxxiyFJIKazoMpRUR6U2MxSx3e+sUEKyBEf7OyCQC5fUqCvug2Nmb6HQ602vK08E6ry92ppxu3RvoopWxRWpHSuk5Cy4XjfRlVIAzDS0a3t2adtb3jU4pnQ6aBthNbGrdC3Ae8N+tSM8xxqmsPdb5LhLTBD7RKWU+3HfffeTk5KBSqYiLi2PixImm7+3YsYOvv/66zfHLli0jJSUFlUrFiRMnWLx4cZvvC4LAf/7zH4qLi2lubmbLli0MGTKkP36UQYNSLuWpRdH8ee9URge50NCi4f/Wn2LxO7v7JCfEzV7B68tG8fvdUxju50Rts5p//5lkaOmr7PXnMxfK6lTc9NUh6prVjAt25Y1lo84SGfoDQRB44ZLhKKQStqeUmapNvx3OH/BqkyVgFE9l/xClDmVXUdMLU2AS8qq5+P09xOdW46SU8fXNE7hpamibY3Q6HT/E5Rgm8amI9nFkzb3TTMHTItbB5HB3Vt41BU9HG5KL67jq0wOU1prXxV2ouz2ONjKaW7VklImDLET6Ho1WR6XhQtbDUXRKmStKuZRoX70jJ8HMW/gaWzSoDAHF1uq+O50n5TXAK4Eh3o4M9XWiVaM7Z6C0RCLw9GJ9K/uPB3PJKKtv833bM/IyB7qFT8yTsi4uGO6NQiohrbS+0xlRMQbXeFppvdUOj7I4UUrEchnh78zvd03htctjcLNXkFZaz9WfHeDBn+Mp6YMLobHBrqy5bxr/XToCJ6WMk0W1XP7Rfh799ZjVtZK1arTc++NRCqqbCHG349MBDqCO8HLg7ln60HNjtldKSR0nCmoHbE2Wglqr37ganVLB7vZEeDmg0erYZdj0dQedTsevh/JY/sl+SmpVRHg5sOa+aWdlP9Q1t3L/T/E8+8cJWjU6Fo/04fe7pxDkbtf9H0rEbInyceTXOyfj66wkrbSeKz89QFFN00Avy4REIhDm5QBAVnn9eY4WEek5lQ0t6HQgCOBmZ50CgrVwOlfKvDNEKxv0IqdCJsFOYX3DQQqqm0grrUciwDQzKV4tNbTw/Rl/bjfKpDB35g31QqPV8drG5Dbfk0iE0y18AywCGHOERFHKOnBSyk1773XHO+eW8nJU4uesRKeDEwXWGWcgilIi/YpEIrB8fCDbHp3J9ZOCEQT4M6GQOW/s4P1tab0euCuVCFw/KZjtj83iynGBAPx+NJ85K3bw9d4sq2kHeXn9KQ5mVeJgI+PzG8fjZj/wG+m7Z4Wbpu8ZWXkkbwBXZBlo/tG+BzDX4Jbalty9XKkGlZpHfj3GE78fp0WtZd5Qb/64ZwohHvZtjjueX82F7+7hr+NFyCQCTy2K5oNrxgzIaGeR/iPUw55f75xMgKstWeUNLP9kf59k/3WXMMPrtC/C/kVE/klFg75o5WqnQCYOczBrjLmVR8xclKoyOO/c7BRW2X5lLJjFBrqcNbl3oLgk1g9BgIPZleRXnTtQ+smF0UgE+DuphMPZbbsp7MxgAl9NUyuZBpewsYVLxPK5eJR+ENRfx4s63UUy0pArJYpSIiK9iIudgv8uHcGae6cRG6hv6XtjUypz3tjBH/H5aHs5/8ndwYZXr4jhj3umMNLfmbpmNS+sPclF7+1hb3p5rz5Xf/NHfD5f7c0GYMXyUUQYXAUDjVIu5aVLR7S57c9jhajUAz/JxJxR/6N9D2BWlF6U2p1W3uUWyOTiWi5+fw9/xBcgEeDxBVF8ev3YNhP2tFodn+/O5PKP9pFb2UiAqy2/3jWZu2aGW+UGWuRsAt3s+PXOyQS725FX2cR1X8SZTcZUqEGUyhLb90T6gfI6Q8i5GRR3RDpmXLB+EMiJghqzniJqdEqZQ8GwL9hlRq17RnydbZkU6g7oi9/nItLb0ZSV+fL6U232WA5mMIEv0TDkI8jNzmpfP4ORuUO9sZFJyCxvME1WPB8j/PSiVFKhdXadiKKUyIAyMsCZVXdP4Z2rYvF3saWwppmHfznG0g/3cjCr9/OfRge5svreqfzfpSNwMUzpu/bzOG7/9jBZFliFP1lYy9OrEgG4b3YEC4b7DPCK2jIl3IPLxwSYvq5ubGXjieIBXJH5o9Gc7ZQaE+yCUi6hvF5FaknnWph0Oh0/xuWy5P29ZJY14OOk5Oc7JnPv7Ig2WWN5lY1c8/kBXlp3ilaNjkUjfFj3wHRTBVpk8ODnYssPt03Ez1lJemk9N351kNrmnueY9ZRgQ+tobifHJ4uI9ASjU8rDQQw5N3cC3WzxcLChVaMza/eANYtSrRote9L0xd2ZUZ7nObp/WTraMIUvvqDDgt7D8yKxU0g5mlvNhjP2qPY2pyfwDRTHxNY9q8TBRsZsQ8H5r+Pt5579k+H+ToB+8Is1IopSIgOORCKwJNafrY/O5PEFUdgrpBzPr2H5J/u567sjZJb1bo6IVCJw7cRgdjw2i5umhCCVCGw+WcIFb+3k5fWnzOIirDM0tqi5/6ejNLdqmTnEk4fnm2dA/7MXDsX1DDv3d/tzBnA15o+x3dHmjEwwG5mU8SH6inBnnH2ldc3c9s1hnvkjEZVay6woT9Y/OJ0JoW6mY3Q6Hd8fyGHB27s4kFmJrVzKS0tH8OG1Y3C2NQ/7vUj/E+Bqx3e3TcTdXsGJglpu/foQTS0D60AwjlAvNxPnloh1U1FvvQKCtSEIAmODXYDT+ZXmiFGUcrXC11RCXjV1KjWudnJG+jsP9HLasHCELwqZPlC6IzeKl5OS26eHAfC/DckmR7+dwuiUGjhRKuGMyXsi1sVFpha+wk51QRidUuml9QO+L+sLRFFKxGxQyqXcOzuCHY/P5pqJQUgE2JhUzPy3dvHU78cprO7d8F0XOwUvXDKcvx+azqwoT1o1Oj7dlcns13fwQ1yOKdvHXPnP2pNklDXg5WjDW1fGtnHWmBNu9vrfs5HDOVWctFLraU9pUWtpMeScOSja5jgZJ9/ty+hYlFqfWMSCt3axNbkUhVTCs4uH8uU/csbyKhu5/ouDPLf6BI0tGiaEurHxoelcNylYbNcTIdzTge9unYiTUsah7Coe+iW+11uqu4Kng1GUan+0t4hIb2IcIS+KUpbB2GBDrpQZi1LGTClrbAndmaJv3ZsW6Wl2+1BnW7kpk7OjFj6AO2eG4e1kQ25lI18bIjGM7XuNA9S+p9PpTKJUrOiUsjrmRHthK5eSV9nE8fzzu5+8nJR4Otqg1cGpYuu7jhJFKRGzw9PRhpcvHcmGB2cwJ1o/FePnQ3nMemMH//3rZK/nnER4OfL1zRP46ubxhHvaU9HQwrN/nODCd3ezz0zzptYeK+TnQ3kIArx9VazZb54vGeXHwjNaC7/amzWAqzFfGs+wiNv+Y0LP1HC9KHUgs7LdgP6axlYe+jmee344SlVjK8N8nVh7/zRunxFmatdTqTW8vy2NeW/uZE96OUq5hOcvHsbPt08i2N3+rMcUGbwM83Piy5vGo5BJ+DuphP/9YzJRf2Jso6ppaqVFbR3DKUTMl0qDgOBqJoHNIh1jFKWO5lZ1OXOxv6hs0DvwXa1wmuOuNGOelHm17hlZEusPwJqEwg6LzXYKGU8siAbgvW3plNerTJMS6wfIKVVc20xZnQqpRGC4n+iUsjbsFDLmDjW28HVuCt8IP0MLnxm3K3cXUZQSMVuifBz58qbxrLxrMhNC3WhRa/liTxYzXtvOm5tTqevlNrvZUV5sfGgGL1w8DGdbfd7UNZ/Hcce3h8k2o7ypvMpGnjHkSN07K4Ip4eYxfrcjBEFoE3r+25F8i2mT7E8aDHZchVSCQtb27XmYnxMudnLqVWqOnVFR0el0rDtexNw3d7I6oRCJoM8XW33vVKJ8HE3H7U0vZ9E7u3ljUyoqtZbJYe6sf2A6N08NbZMxJSJiZFyIG69fEQPAp7sy+f7AwLTentlOKr5viPQ1VY0GAcHMiz0ieob7OaOQSiivbzHb3LlKQ06Zm711CZ3l9SqTw2NGpHnuRWdHe+KklFFc20xcZkWHx1462p+YAGfqVWre3Jx6RtD5wIhSxwwuqShvx7MKlSLWwUUx+tyzdZ2cwmcUJ08UiE4pEZF+Z1yIG7/cMYlvbpnACH8nGlo0vLs1jemvbeejHRm9erKQSyXcNDW0Td7UppMlzHtzJy+sSRrwaVRarY4nVh6nTqVmTJALD86LHND1dAUPBxs+vHaM6esX1iQN4GrME+Nr2RiueSZSicDkMP0kmQOGjVVhdRO3fXOYe388Snm9ijBPe1bePYXHFkSZRK38qkbu/ymeaz+PI7OsAQ8HG965KpYfb59ImKd5TGoUMV+WxPrz2AX6vLrn1ySZAm37E4lEML2eRaeUSF9TZcWh1NaIUi5lhCEA2Fxb+KoarFPoNJ4Phvk64eWkHODVtI+NTMqFMfrsntUJBR0eK5EI/OuiYQD8fDCX7Ap9Qbp5gKZGJ+TpBT8x5Nx6mRXlib1CSmFNc6da+IzvdUlFolNKRGRAEASBmUM8WXvfND68dgzhnvZUN7by6sZkpr26jQ+2p/eqc8rVvm3elFqr4+t92cx8fQcfbE8fsIC5Hw7msj+zAqVcwpvLY5FLLetPePFIX9Pnq44WtGlXEzktStn9I0/KiDHs/GBWJV/vzWL+mzvZmlyKXCrwwNxINjx4empebXMr/9uQzJwVO1l7rBBBgBsnB7P10ZksifUXs6NEOs29syO4fEwAGq2OB36O7/V8v85gYxClVKIoJdLHGEOpXayw1cpaGWc4Nx42U1Gq0kpzynamGlr3zGzq3j8xtvBtSCymubXj/fv4EDcuHOmLVqePSwBQtQ7MeeeYKU9KbN2zVpRyKbMMU/j+Tjr/dHKjUyqluM7qinSWdUUrMugRBIHFI335+6EZrFg2ilAPe6oaW3n97xSmvbqdd7emUdPUe+KUMW/qx9smMsLfiXqVmtf/TmHWG9v55VBuv4ah51U28sr6UwA8uTCaEA/LzADa+9Qc0+ezXt8xcAsxQxoNYmd7Tik4nZ2xM7WMF9aepKFFw9hgV9Y/MJ1H5g/BRialVaPl2/3ZzHp9Bx/vzKDF0Kq39r5pvLhkhDhZT6TLCILA/106ghH+TlQ2tHD3D0dN04n6CxuZ/m+iv59XZPBRbWjfcxNFKYvBWIw5aqailDW677RaHbsMotSMSPMWpSaEuOHnrKROpWZbcul5j39qUXSbCIWBcEpptDoSC0Sn1GDgguHeQOdEqQBXW5xt5bRqdKSW1PX10voVUZQSsUhkUgmXjw1gyyMzeeeqWMI97alpauXNzalMe3Ubb21Opaax98SpKREerLl3Gu9cFUuAqy0ltSqe/D2RRe/sYltySZ+Ha+p0Op78/bh+UlqIGzdODunT5+tL/F1sTaNtS+tUbD5ZMsArMh+Mgmp7wlFJbTOf7c5sc9t/l47gtzsnE+ntiFqjZdXRfOa/uZN//5lEZUMLYZ72fH7DOH68fSIjzGxUs4hloZRL+ejasTjbyjmWV81//zrZr89vNPZpraswKGJm6HQ6k6vFRQw6txjGBLsAkFJSZ3a5czqdjmrDud3F1npEqZNFtVQ0tGCvkJoKZuaKRCJwicEttTq+4xY+gEA3O26dFmr6ur65/139GWX11KvU2CmkRIhRC1bN7Ggv5FKBjLIG0kvrOzxWEASGG8POC62rhU8UpUQsGqlEYEmsP5sensl7V49miLcDdc1q3tmaxtRXt/HqxmRK65p75bkkhufa+uhMnrtwKM62clJL6rnl68Nc9ekBk822L/jlUB77MvRte69dEWPxwdSf3zje9Pnt3x6muKZ3/o8snYoG49Sn0xtXlVrDRzsymP3GDv46XmS6/cmF0Vw/KRgd8GdCARe8tYtHfj1GdkUj7vYK/rtkOH8/NIN5w7zFVj2RXiHQzY63r4pFEOD7A7msTyw6/516CaNN/Z8DAEREepPGFo3ptWZNrhZrx8tRSZCbHTodJORWD/Ry2tDQojG56q3JqWxs3ZsS4WER78tLR+sDpXeklFFtEJ474p5Z4abPVyd0bjJabxKfq3f9xQQ4I7OwqA6RruGklJuGVnXGLWUsMicVWlfYufgqF7EKpBKBi0f5sfHBGXx47RiifRypV6n5aEcG017dzjN/JPbaBD0bmZTbpoex6/HZ3DkzDIVMQlxWJUs+2Ms9PxwhvbR37ZSVDS2mceyPzo+y2La9M/F0tOGy0f6mrx/6Jb5fWyHNlTMt/jqdjo0nilj49m5e3ZhMY4uG0UEuTDdMuEkrrePPhAIWvL2LB39OILO8ARc7OU8ujGbXE7O5fnKIxWWOiZg/s6O8TJv1Z/5IpKS2fwRlo1BgYwEXPyKWS5XhYlUhk5jGwYtYBka3jrmFndcaXFJyqYBSbj3vXztTDHlSQ8y7dc9ItI8T0T6OtGi0rE88/4W/o1JOTMBph7lxf9ZfxBvE1dFB5u1CE+kdFgz3AWBTp3Kl9E6pEwWiU0pExGyRSPSZU+sfmM6n149ldJALLWotP8blMmfFDu794SiJnZhu0Bmc7eQ8vWgo2x+bxeVjAhAEWJ9YrHes/JJATkXviGCvbkimurGVaB9Hbp4a0iuPaQ7cfUYV6kBmJR/tSB/A1ZgHxoDdzLIGLv9oH3d9f5Sscv3EvBXLRvH7XVNYPi4Q0AfFP/hzAuml9TgpZTx2wRB2PzGbu2eFY2/TflC6iEhv8ODcIYz0d6a6sZXHfjuGto8FZZ1OR4tGL0qJQqtIX2KakmYnFx2mFsYYgyh1NNe8RKk6Q+uXk9J6XlO1za0cMfyeLUWUAlhqKIaebwqfkesmBZs+f3tLap+s6VyYRCkxT2pQMH+YN4IAx/JrKKrpeJiM0Sl1sqjWqgr64u5OxCqRSAQuGO7Dqrun8Msdk5gd5YlWB+sSi7j4/T1c93kce9LKeyULyt/FlhXLR7HxwRksHO6DVger4guYs2InT686TkEPJlUdyankl8N5ALy0dIRVWXgjvR2ZN9Tb9PWbm1PZl97/4+bNiUPZ+kkvB7MrOZpbja1cygNzItj+2ExmRXny9tY07v8p3nS8Ui7hkflD2PPUHO6bE4mj0npaA0TMF4VMwltXxqKUS9idVs63+7P79PnObH9xshUFV5G+w+iUchVDzi2OcQZRKj632qwu1IwZV45K63nv2pdejkarI8zDnkA3u4FeTqe5ZJQfgqCfYNyZvfmZbsnv43J7vRPiXNQ2t5JqeC7RKTU48HS0Yazh/3pTUsdZu6Hu9tgrpDS3asks6ziDypKwnitcEZF2EASBiWHufHXzBDY+NJ1LR/sjlQjsSS/nui/iuOT9vaw5VkirpufpuVH/z955x0dVpm34mpreeyUJAULvJQhSBRU7rg17+1Rc17K6utVd3XXXXXXVtawNG+iKXVGU3mvoaRBISO+9TD/fH2dmIJCeSWYmea+f8wvMnHPmHZmc8577vZ/7ifTjzVsm892Ds5g7IgyzReKTvQXM++dmnv42vdvZViazhd99dQyA66bE2lseDyQeWpBs/7NFgl9+crDTFYKBSFFtC099eaRVffiN0+LZ8vhcLhkbxd9+yGLm3zfyyoYTrfZ797apPLRgGP5CjBL0M8nhvvz20pEAPP9Tdq/E986oatQD4KVR4a0dODd2AtfDJkqJPCn3Y3iEH74eahr1JpfqSmUr3/MfUHlS8gLihW7kkgKIDvRieqI8l/6mC24pW9dXkLvh/fm7jD5vbARwpKAOSYK4YC/C/Dz6/P0EroGthK+zXCmlUkFKlFzCl1nqOue63iJEKcGgISXSn5eun8DmX8/l9pkJeGqUHC2q46FPDjLn+U28ueWkQzr2jY0N4P07pvH5fanMSArGYLbw/s48Lnx+E39dk0F5FzNYVu3NJ6u0gUBvDU9eMrLX43JFxsUGMm/EmUlNVZOBB1YesOfHDHRK6lr4w9fHmPvPTXyyt8D+/BMXjyB1aAjLVx3gkpe38cnefPQmC+NiA3jtpkl2u/zJAbRCInA/bp4+hKkJQTQbzPzx62N9Nlm3NQAI8RVCgaBvqW6j2YTAPVApFUyMDwTOuI5dgbPL9wYCkiSx1RpyPmeEe4lSAFdZu/B9c7Dz8HJbBpiXRoVWJTuD+6NjtC3kfGKccEkNJhaNlqtH9uRWdxrGnxLpB0BWycAJOxeilGDQERfszdNXjGbnkwt4eOEwQny0FNfp+PuPWaT+fQN//OYYuQ4IRZ+SEMyn96ay6u7pTIwPRGe08Pa2XGY9v4k/fH2Mwprmdvet1xn593rZFfPYRcMH9KrtQwuGtfr7wfxanl3Tv+3m+5uyeh1/+uYYc57fzEe7T2M0S6Qmhdhff35tNg99cpB9eTWolAqWjI3i03tn8M3yC1gyLoqxtnryAdZ5Q+BeKJUKnrtmLBqVgg1Z5aw91nlAZ0+oaJCdUiED+DwocA1qrAtTQT4DQ0AYbEy1Osr35rqOKDXQyvdOVjRSVNuCVq1kRmJI5zu4GJeMjUKrUpJd1kBmJzf0NqdUZIAn91yYCMAzazLQGc19OsaD1m7eNpFVMDgYEuLDiAg/zBbJ3t2yPWxOqSzhlBII3J9gHy0PLxzOjifn8/y140iJ9KPZYObDXaeZ/8Jm7v5gHztP9j53amZyKF/eP5MVd0xl8pAgDCYLH+0+zdx/bubXqw+3WQ/82qYcqpsMDA3z4cZp8b16f1dnYnyQ3QIebrUpf7jrNF8eKHTmsPqEkroW/vxdOrOf38QHu05jMFsYHxfIzTPO/zcO9/PgVwuGsfPJ+by2bBIzkkLsIamjrJ03Blo7WIH7kRzux/1z5KYFf/o2nSa9yeHvUVAtC/ixbpRdInBP7B1QhVPKLZlmLc3al1fdL2VWXcFevjdAnFKbrV33picG4+WGHSoDvDTMTwkH4OuDHZfw2ZxSOqOZB+YmE+nvSUF1C29vPdVn45Mk6YxTSuRJDTrmWb+bm7LKO9xupHBKCQQDD0+NiuumxPHjr2az8u7pzE8JR5JgfWY5N729h0tf2c7q/QXoTT1fGVEoFMwbEc7n96XyyT0zmJUciski8XlaIQte3MLyVQfsrT0LqptZsT0PgN8tGTmgws3b41fWbKnqJgPXWLujPPnlUfuF2d3JKW/g16sPc+Hzm1ixIw+DyYKHWklyuC95lU18vDufXaeq7Nu/euNEdjw5n0cuGk6Ev+d5x7O1g80ua3CpQFfB4OSBeckMCfGmvEHPf/tgsm5zriaG+Dj82ALB2VRbSyYChSjllkyIC0SjUlBWrye/un03en9SbyvfGyBNGmyilDt13TuXqyZGA/Dt4eIOu8fanFJ6kwUfDzW/XSJHaby2OafPchRPVzVT02xEq1YyyuqGEQwebILpluMVHc7vh1tFqeI6nUOiZ1yBgX+3KxB0EYVCwQXJobx3+1Q2PDaHm2fE46VRkVlSz+OfH+GCv2/knz9l9epCpFAoSB0awsd3T+erB2aycGQEkgRrjpRw2avbue6/u7jopS0YzBYuSA5h3ohwB35C12XykGC7UCcBC0eGYzBZuPejNIr7MEC5rzmQX8M9H+5n4Ytb+TytEKP5zAVGb7KQU95IXYuRqABP+wrvkBBvLh8fjaYDMTI2yButWonBZKGoxn3//wgGBp4aFU9enALAW1tPUlrXvaYOnZFXJYtSQ0KEU0rQt9SKoHO3xlOjYnxsICDnsrgCDfbyPfd3SjXpTfbSSJujwx2ZOyIcf081JXW6Dr8napXsTrc1Q7p8XBTTEoPRGS38bU1mn4ztgHUxdky0P1q1uE0fbEyKD8TfU01Ns5FDBe0vzPt7aogN8gIgq3RguKXEt10gaIOhYb48e9VYdj01n99cnEKkvyeVjQZe23SS2f/YyD0f7mfbiYoOV1g6Y2J8EO/cNoUffzWbKydEo1Yq2Jtbjc4oX/xiA71pNvRt3bor8fjiEQB8faiIB+YlkxLpR0WDnrs/2E+zwfElQX2F2SKxPqOM6/67i2te39luKKZWreSycVF8cOc0tv9mPsumyyV8kW04o85FpVTYXSMnK0XYucD5XDwmkilDgtAZLbzwc7ZDj51TLn/Hk8KEU0rQt1Q32TKlhCjlrtgWeFwlV6q+xRZ07v5OqZ0nqzCYLcQFe5EU6r7nY0+NikvHRgEdl/BplPJtss2xolAoePry0SgVsOZoCTtPVjp8bAfzawGYJEr3BiVqldIeabKxkxK+lMiBlSslRCmBoAMCvbXcP3co234zjzeWTWLm0BAsEqzLKOOWd/ey8MUtvLs9l7qWnlsnR0b58/INE9n2m3mtnv/f/gJmPLeBP3+XzgkXam/cV4yPC+SSMZFIEry+6STv3DaFEB8tGSX1PPK/Q70SAPuDuhYj72w7xdx/beLuD/e3OSFWKCA1KYS/XT2Wvb9dwH+snfRUSgUlVndJVEDnohRAonVCmFvR+1B+gaC3KBQKfmctbfj8QCE55Y45Z5XX6yir16NUnJmACQR9RY29+577u1oGK1PPypVyBWxB5/5e7v+d2pwt3yTPHR5uz7h0V660duH74VhJu8HlKqtTynTW/HNUtD83zxgCwJ+/zcBkdmy36IMFIk9qsGMr4duY1XHY+cgoa66UcEoJBIMHjUrJJWOjWHXPDNY/eiG3pQ7B10PNqcomnvk+g+l/W8+TXxwhvbiux+9xuupM/sH/zUkiMdSHBp2JFTvyuOilrfzizZ18dbCwz7t+OJNfLx6BSqlgfWYZZfU6/nvLZLQqJT+ll/HCOse6LxzFibIGfv/1Ucb/+WeeXZNJQfX55XQT4gL542Wj2P3UAj65dwY3TY8/L7PEVqYYFejVpfe1uUZOCaeUwEWYGB/E4tFySfJ/NuY45JhHrVl7yeG++Hi4v9NA4NrUNNtEKeGUclcmDwlCqZDnVI4uJe4JtqBzdy/fkyTJnic1L8V986RsTE8MJirAkwadyS62nYtaKYtS52b7PHrRcIK8NWSXNfDR7tMOG1OLwUxmibygIzrvDV7mDA9DoYDMknpK6tqP6LAt1Nm+M+6OEKUEgm6SHO7Hn68cw57fLuDZq8YwIsIPndHCp/sKWPLKdq56bQef7s2nsRtdqCRJ4sWfjwNwy4whPHXJSDY8OocVd0xl0agIVEoF+/JqeOR/h5n+tw08/W06hwtqXaa7jKMYGubLLybHAvCPH7OZPCSI564ZC8Brm07y2f4CZw7PTovBzKd780l4cg0XvbSVj3fnn7fN+LhAnrh4BNuemMfXyy/gzlmJbYaW27CFOSd0MTcnKcy31X4CgSvwy/nDADlAtq3Oot3FJkqNjQns9bEGKtXV1Sxbtgx/f38CAwO56667aGzs+P+9Tqdj+fLlhISE4Ovry9KlSykra11qnJ+fz5IlS/D29iY8PJzHH38ck6n1dW3z5s1MmjQJDw8PkpOTef/991u9/txzzzF16lT8/PwIDw/nqquuIjvbNRcYdEYzepPseggQTim3xd9TY+9Qu9cF3FJN1hgGHw/361R3NjnljRTVtqBVK0lNCnX2cHqNUqngigly4PlX7ZTwnS1KnT3fDvTW8mtr5MSL645T1ah3yJiOFtVhtkhE+Ht02TUvGHiE+HowIS4QgE0duKVSrE6p7NIGl68m6QpClBIIeoiPh5qbZwxh7cOz+ez/UrlsXBRqpYJDBbU8+eVRpv11PU98fpi00zWdikfbTlSyN68arVrJ8nlyJzqlUu7Y99atU9jxm/k8dtFwYgK9qGsx8v7OPK58bQcLXtjCy+tPcLpq4AgTv1o4DK1ayd68ajZnV7B0ciwPzJVbzj/15dFO26T2FZIk8c2hIhKeXMPIP67lyS+PnrfNhcPDePYqWbD8ZvkFPDA3mbgutrG3hTkndLHDmC30+WyHnUDgbMbEBLAgJRyLJAvJvcVWBjshLqDXxxqoLFu2jPT0dNatW8f333/P1q1buffeezvc55FHHuG7775j9erVbNmyheLiYq655hr762azmSVLlmAwGNi5cycffPAB77//Pn/84x/t2+Tm5rJkyRLmzZvHoUOHePjhh7n77rv56aef7Nts2bKF5cuXs3v3btatW4fRaGTRokU0NbneNcvmaFEowFcrXHnuzNQEawmfC+RKtVhFKW83/07ZXFLTE4Px0rq3wGbjKmsJ36asijY7mKmVZ26TTefc9N8wNZ7R0f406Ez88yfHCO22jtMT44LcvjxS0Dvmj7CV8LV/z5MQ4oOHWkmL0ewy3UZ7g3ufIQUCF0ChUDAtMZhpicFUNOj58kAh/9tfwKmKJj7bX8hn+wsZFu7L9VPjuGZS7HldfSRJ4oV1Z1xSkW2sjkQGePLLBcN4YF4yW09U8OWBItZllHKqsomX1h/npfXHmRAXyKVjI7loVKQ9b8gdiQrw4o6ZCfx36yn++kMms4aF8vjiEZTW6fjyYBEPrDzAp/fOYLx1FaGvkCSJ3Momvj9SwovWf5+2mJEUzM0zhjBneFiP7flnd9Hr6r+dbRWtvF6PxSKhVIoJjMA1+OWCYWzIKuebQ0U8cfGIDh2CHaEzmtl/Wp6kpw51/5X5viAzM5O1a9eyb98+pkyZAsCrr77KpZdeyr/+9S+io6PP26euro53332XVatWMX/+fABWrFjByJEj2b17NzNmzODnn38mIyOD9evXExERwYQJE3jmmWf4zW9+w9NPP41Wq+XNN98kMTGRF154AYCRI0eyfft2XnrpJRYvXgzA2rVrW733+++/T3h4OGlpaVx44YVtfia9Xo9ef8Z5UF/fP3kZ9uwfT404n7o50xODWbEjzyXCzpusjVp83FzI2XxcvjkeSF2hR0b5kxLpR1ZpAz8eK+GGafGtXrdlSoHsltKc9U+oUir48xWjufbNXfxvfwE3TY9nnLXzY0+xdd4TpXuCeSnhvLDuODtyKtEZzXhqzj9/qJQKRkT6caSwjqzSehLc+N4PhFNKIHAoYX4e/N+coWx4dA6r70tl6aRYPDVKTpQ38uyaTKb/bT3LVx5gQ2aZvcXsxqxyDhfU4qVRcb/VEdQeKqt76tUbJ7L/9xfxwi/GM3tYKEoFHCqo5W8/ZDHvX5tZ+OIW/rE2iwP5NW5p6XxgXjLBPlpyyhtZufs0CoWCf1w7jtnDQmkxmrnz/X3kObhsTW8yc7iglhU7cln2zm4Sn/qB+S9saVOQmj0slO9/OYtTf7uUT+9N5bJx0b3Ki8ivbsYiyZPWMD+PLu0T7ueJQgEGs4Vqaw6KQOAKTIgLZGpCECaLxMo955e2dpW00zUYTBYi/T0ZKjrvtcmuXbsIDAy0C1IACxcuRKlUsmfPnjb3SUtLw2g0snDhQvtzKSkpxMfHs2vXLvtxx44dS0REhH2bxYsXU19fT3p6un2bs49h28Z2jLaoq5PLMYODg9vd5rnnniMgIMD+iIuLa3dbR2JrWBIwAAKpBzs2p1R2WYM9vN5Z2Loou7O7qFFvsgt8c0e4f57U2dgCz9sq4VOfJU6f65QCmJIQzNUTY5Ak+MM36b2ab0uSxAFr5z0Rci4YHe1PmJ8HLUazXaxsi5RIuYRvIORKCaeUQNAHKBQKpiYEMzUhmD9dMYrvDhfzv30FHCmsY83REtYcLSHYR8uSsVH2kMTbZiYQ6ts1QQLA10PN0smxLJ0cS3mDjh+PlrIuo4zdp6rIKW8kp7yRNzafJNhHS2pSCDOTQ5g5NJSEEG+XtwUHeGl4bNFwfvfVMV5af4KrJsYQ6K3ljZsnc8NbuzhWVM+t7+3li/tndlnEORuDycLxsgaOFNZxtKiOo0W1HCvqeDV+4cgI/nLlaKK7GETeHWwCW0KoT5f/bbRqJaG+HlQ06Cmt03XruyMQ9DW3zUxgX14Nq/bks3zeUDzU3b8h23pCLheZmRzi8ucsZ1FaWkp4eGvnglqtJjg4mNLS0nb30Wq1BAYGtno+IiLCvk9paWkrQcr2uu21jrapr6+npaUFL6/W50qLxcLDDz/MBRdcwJgxY9r9TE899RSPPvqo/e/19fX9IkwJUWrgEOLrwdAwH05WNLEvr5pFoyOdMg6T2YLBmlPm48bleztzKjGaJeKDvd3aid8WV0yI5h9rs9iTW01xbUurOd7ZopTZ3Lbg9NQlKazLKONwQS3/21/Ajee4rbpKcZ2OigY9aqWCsTGiXH2wo1AomJUcylcHi9h+opKZ7bjFbWHnA6EDn/ueIQUCN8HfU8Oy6UNYNn0IGcX1fJ5WyLeHi6ls1Lfq2tGgM3KqotEeYN0dwv08uW1mArfNTKCuxcjm7HLWZZSxObuC6iaDXQgDiA7wZEZSCBPiA5kQF0hKpD9ateuZJq+fEsdHu06TVdrAv9ef4OkrRuProea926ey9I2d5Fc3c8f7e1l1zwz823EpmS0SBdXNHC9r4ER5o/yzTBbsDF1o4/urBcO4dnJsl3Oheoo9T6qbk73oAE8qGvSU1OkYIyYxAhdi8ehIIv09Ka2XBfOrJsZ0a39Jkvg5XQ7enjuAykW6ypNPPsk//vGPDrfJzMzsp9E4huXLl3Ps2DG2b9/e4XYeHh54ePS/yC5EqYHFtMQQp4tSzWd1S3Znp9Tm49aueyPCBtwCQUygF9MTg9mTW823h4u5b86ZigXVWaKU0dL2nDHc35NHLxrOX77P4O8/ZrFoVAQhPVgktOVJjYzyd+vvisBx2EWpnEqeaGcbW9h5VqlwSgkEgm4wKtqfP0aP4reXprDzZBW3vrfX/trKPfms3JPP6Gh/Lh4dySVjI0kO9+v2ewR4abhyQgxXTojBaLZwuKCWHTlV7DxZyYH8Goqt2UxfWq3KWrWSMdH+jIsNZHiEH8MjfBkW4ef0iblapeQPl41i2Tt7+Gj3aW6eEU9yuB/hfp58eOd0rn1jJ8eK6rn9vb38Y+k4Khr15Fc1c7q6mfyqZnIrmzhZ0WjvptQVUiL9WDQ6kkvHRtpXH/qDbOvFZGg3BUk5q6eO0nrnt70WCM5Go1Jy47R4Xlp/nNVpBd0WpbLLGsitbEKrVjI/ZfCJUo899hi33357h9skJSURGRlJeXnrIFSTyUR1dTWRkW3fiEdGRmIwGKitrW3lliorK7PvExkZyd69e1vtZ+vOd/Y253bsKysrw9/f/zyX1IMPPmgPYY+Nje3wczkLW9Cxs699AscwPTGYT/bmOzVXyhZyrlSAhwsu/nUFSZLYYg05H6gLBFdNjGFPbjVfHyxqJUopFApUSgVmi4S5g9K8W1OHsDqtkMySev6xNovnrx3f7TEctJfuBXZ7X8HAZNYw2R11tKiOmiYDQedkEsMZp9TpqmaaDSa3bqjgviMXCNwYtUqJr+eZX7/fXJzC3twqtp6oJL24nvTiel5Yd5yhYT5cMiaKi8dEMjrav9srVBqVkikJwUxJCOZXC4fRYjCzL6+a/adrOFRQy+GCWupajBzIr7XXstuI9PckOdyXuGAvYoO8iQ3yIjbIi6gAL0J8tT0qx+kOkiQxPi6QkVH+ZJbUs/DFrfzp8lGU1espq9fZ6/sP5Ndy0Utbe/QeCgVMGRLEolGRLBodwZAudr5zNJlW2+2oqO6JkEHe8gWqTmRKCVyQaybF8NL64+w8WUVJXQtRAV0vff3hqFwiNmd4GL4eg2+qEhYWRlhY59ktqamp1NbWkpaWxuTJkwHYuHEjFouF6dOnt7nP5MmT0Wg0bNiwgaVLlwKQnZ1Nfn4+qamp9uP+9a9/pby83F4euG7dOvz9/Rk1apR9mx9++KHVsdetW2c/Bsjn8V/+8pd89dVXbN68mcTExG7+n+g/6lrkQGp/r8H3fRuITE2Uc6WOFdfTpDfh44TziC1PykerdluH0YnyRopqW9CqlcxICnH2cPqES8dE8adv0skqbSCrtL7VoqRNlGorU8qGWqXk2atGs/SNXXy2v5DrpsQxJaH93Ly2ECHngnOJ8PdkeIQvx8sa2XWqikvHRp23TbCPllBfLZWNBk6WNzE21n2rJsSVVyBwEq9b26VfNyWW++cO5f65Q6luMrAuo5Qfj5WyI6eSkxVN/GdTDv/ZlENMoBfzUsKYMzycmUNDejTB8tKquHB4GBcOl292bB3mDhXUkllSz/GyRk6UNVBcp6O0XtehA8fXQ02wj9b+8NKq8Nao8Naq8NSq8NaoUataT8IUCpAk0BvN6EwWdEaz9WGh2WCittlIbYuR2mYDtc3G8yYBf/4uo8PPNys5lGAfLeUNOkrrdJQ36O2TQht+HmouSA5l7ogwFoyM6FEmlSMxmS0cL2sEZNt2dwjwllf0bWUnAoErERfszbSEYPbmVfPNodZlER0hSRLfHS4G4JIxzim7cRdGjhzJxRdfzD333MObb76J0WjkwQcf5IYbbrB33isqKmLBggV8+OGHTJs2jYCAAO666y4effRRgoOD8ff355e//CWpqanMmDEDgEWLFjFq1ChuueUWnn/+eUpLS/n973/P8uXL7aV19913H//5z3944oknuPPOO9m4cSOfffYZa9assY9v+fLlrFq1im+++QY/Pz97HlVAQMB5bipnY+++J5xSA4KYQC9iAr0oqm0h7XSNfd7TnzTpZaHTncuxNmfLTszUpBC3/hwdEeCtYV5KGD+ll/H1wWKevOTMXKyrUuLkIcFcPyWO/+0v4PdfH+P7X85CreqaO05vMpNuzTWdGCdCzgVnuCA5lONljWw7UdmmKAWQHO5LZWM1x8sahCglEAi6R1ZpPeszy1AoaHWjFuyj5fqp8Vw/NZ56nZGNmeX8eKyELccrKKpt4ePd+Xy8Ox+tSsnUxCDmWAWm4eF+PWphrVAoSArzPS/Hql5n5ERZI6cq5BWywpoWCmuaKaxpobROdik16k006k3kVzf3+v9HR2hVylb5T7+YHMvQcF8i/T2J8PfkSGEtz/2YBcD2nMo2jzEuNoALh4UxZ0QYE+IC0XRxotAf5FY2YTBZ8NGqiAvqXnaVrcyktlmIUgLX5OpJMezNO78soiP25FaTW9mEj1bFYidlwbgTK1eu5MEHH2TBggUolUqWLl3KK6+8Yn/daDSSnZ1Nc/OZc/VLL71k31av17N48WJef/11++sqlYrvv/+e+++/n9TUVHx8fLjtttv4y1/+Yt8mMTGRNWvW8Mgjj/Dyyy8TGxvLO++8w+LFi+3bvPHGGwDMnTu31ZhXrFjRaXlifyMypQYe0xOD+fJgEbtPVTlFlGqxZkp5u7GYs9leujewuu6dy1UTYvgpvYxvDxXxxOIRPZpT/+aSFH7KKCWrtIEPdp3mrlldc4ZmFNdjMFsI8tYwJKRvM0wF7sXsYaGs2JHH9pyKdrcZHuHH7lPVnChv7MeROR4hSgkETsDmkrp0bFS7web+nhqumhjDVRNjaDaY2JlTxZbjFWw+Xk5BdQs7cqrYkVPF337IIshbw5SEYKYnBjMtMZhRUf5dXqFp770nDwli8pDzV2wkSaJeZ6K6yUB1k57KRgO1zQZaDGaajWZaDGb7ny0WCclqdpI443ry1Kjkh1qJh/XP3loVQd4aAry0BHpr5IeXFk+NEr3JwuJ/b+V0VTPZZQ2MiPRjXabc7aSwpuW8MSaF+jBjaAjTE4OZlRzao9DJ/iKjRF4dGxHZfWHRdvMknFICV+WSMZH8/utjZJU2UFDd3KWmAf/bVwDIXZGcUXLjbgQHB7Nq1ap2X09ISECSWrtOPT09ee2113jttdfa3W/IkCHnleedy9y5czl48GC7r5/7vq6MEKUGHjOGhvDlwSJ2napyyvvbnNrumvPSqDexL0/O5BqoeVI25qWE4+epprhOx9686h6VKgb7aPnNxSk89eVRXvw5myVjo4gM8Ox0vzN5UkFuW+Yp6BumJ4agUSkoqG7hdFVTmzEjw8Ll+8gTZe4ddu6eZ0mBwI0pqm2xd8K7v4vOAW+tmoWjIlg4KsJecrc5u4LNxyvYm1tFTbORdRllrMuQQ2d9tCrGxgYwNiaAMTEBjIsNZEiwd49Wfs5FoVAQ4KUhwEvTZ62BJUmiolHP/tPVZJc2kFXawOkqeZX/SGEdRwrrzhoPjIjwo7rJQHmDHoAJcYE8c+WYVp1TXBWbKNXd0j04yyklRCmBixLorWXKkCD25FazPrOMOy7oeOW4rtnID9bz4/VTe9ZaWyDoCUKUGnjMHCoLC0cK62jUm/o9n67ZWr7nrk6pHTmVGM0SCSHefTbfcxU8NSouGRPJZ/sL+eZQUY/zs66fEsf/9hVwqKCWZ9dk8J+bJnW6z8GCWgAmxgX26D0FAxcfDzUT44PYm1vNthOVbYpStqZYwiklEAi6xfs7cjFbJGYODWFMTPdrf88uubtzViIGk4VjxXXsza1mX241e/OqadCZ2H2qmt2nznSd8fNQkxLlx9AwX5LCfBga5svQMF9ig7x65arqDc0GE6ermq2PJvKqmsmrbCK7rIHqpo7Dux9fPIKJcYGMiQ3A31O+ifjhaAkPfXKQLw8WYZYkXvjFeKd9tq5iWyEbHxvY7X09NfJEtzsdBgWC/uaiURHsya1mQ2Z5p6LUx3tOozdZGBnlz3g3zkYQuB/1QpQacMQGeRMX7EVBdQv78qqZ189uH5tTyl2zmDYP8K5753LVhBg+21/ImiMlPH3F6B419FEqFTx71Riu+M92vj9SwvVTK5g9rOPSxwOnbSHnIk9KcD6zk0PZm1vNjpxKbp4x5LzXh0fITqmCmmZaDGa3Pd8IUUog6EcadEY+3SuXptw92zFdiLRqJZPig5gUH8R9c4ZitkgcL2vgaGEdR4vkR2ZJPQ16E/vyatiXV9Nqf5VSQYSfB5EBnkQFehEd4Em4n6fshvKWHVGB3hp8PdRo1Uo8VCo0agUalRKVQoHRYsFskTCa5Za5OqOZBp2JBp2RBp2Jep2R+hYj5Q1y1zz5p57yeh1VHQhPSgUkhPgwItKPEZF+pET6ExXgybJ39tCoN+GjVTEzObTVPpeOjUKpUPDgqgN8c6gYk0Xi39dPcKkMqbMxmi0cKawFYNKQwG7vr7W2mDYKUUrgwiwYGcGzazLZfaqqwy5YOqOZFTvyALhndqIoYxD0KzZRyrbIIRgYpCaFUFBdyK6TVf0uStkWjGwLSO6EJEn2kPM5AzxPysb0pBAi/D0oq9ezObuCxaMj6UkB8piYAG5NTeD9nXn88Zt01j48u12Bq6xeR1FtC0oFjI8TCzGC85mZHMIL62BvbjWSJJ03Nwrx9SDYR0t1k4GTFY09Mjy4AkKUEgj6kf/tK6BBb2JomA9zh/fN5EilVDAyyp+RUf5cNzUOkMWPnPJGjpc1cLKiiZMVjZyqaOJURSN6k4XiOh3FdTqwunb6k0BvDUOCvRkS4kNCiDfxIT6MiPBjWIRvmxO531w8gj98k84/1mYzLyX8PCvrxWMieX3ZJJavOsCaIyVYLBKv3DjRJYWp7NIGdEYL/p5qkkLbzhbrCK31M50dBC8QuBqJoT72LlgH82uZNSy0ze2+PlhEZaOe6ABPLh8f3c+jFAx2RPnewCR1aAif7ZdFqf7GYJKdUrYFJHfieFkjJXU6PNRKUntYyuZuqJQKrpwQw1tbT/HNoaJWjTa6u0Ty6KLhrDlaQm5lE29vPcWD84e1uV2a1SU1ItIfPyGIC9pgbEwgnholVU0GcsobGRbhd942yeG+7M2t5kR5gxClBAJBx5jMFrsL4K5ZSQ7Jd+oqGpXSLlSdjcUiUd6gp6SuhZI6nfyobaGyUU9di5HaFiN1LUbqmo006E0YuuDIUSsV+Hmq8fPU4O+lxs9D/hnm50GEn9wxL8xf/nN0oCeB3tpufZZl04ew5mgJu09V8/jnR/j0nhnn/b9cNDqSN2+ezP0fH+DHY6Xc8+F+Xl82yeXCRg/ky5ORCfFBPfo+2J1SQpQSuDjTEoP56mARe3Or2hSljGYLb2yRG0DcOSvRJUVkwcDFaLbQZC21EqLUwCI1ST7fpBfXUddi7Nd/X9uCkYcbns9sLqnUoSFu6fTqKVdOiOatradYn1lOva7neZ3+nhp+v2Qkv/r0EK9uzOGycdEktJHLtd9avTCljcZCAgGcqYjZebKKPbnVbYpSwyOsolSZ++ZKudYdmkAwgFmbXkpRbQvBPlqumRTj7OEAcu17ZIAnkQGeTOzC9pIkl+gZzBaMJgmzJKFWKdAolaiUCtRKRZ+LbUqlgn9eO57F/97K3txqPtp9mttmJpy33YKREbx92xT+76P9bM6u4OZ39vDe7VO7LYL1JbYcgUnxgT3a3+6UEuV7AhfHJkrtya1u8/X/7SvgdFUzob5abpwmAs4F/Uv9Wc0i/IUoNaCIDPAkKdSHU5VN7M2t5qJREf323rZrszs6pTZZRam5wwdH6Z6NUVH+DAv35UR5I2uPlvbqWFeMj+az/QXsyKnid18f5eO7pp9XepVmXZxsq9u1QGBjemKIXZRqK1dqmDXs/Lgbi1Lud5YUCNwQSZJ4e1suADfPGOK2q04KhQK1Som3Vk2At4ZgHy3+nhq8tCq0amW/ub/igr158pIUAP7+Yxanq5ra3G7O8DBW3j0df081B/Jrue6/uyit0/XLGDtDkiT7DfqUIcE9OobZ2m5dKbJ3BC7O1AT5O36ooBbTOc6+FoOZlzecAOCX84e1mzklEPQVttI9Pw+1W3RtFXSPGdYufDtPVvbr++rdVJRq0BntDp7BEnJuQ6FQcNVEeeH460NFvT7WX68ai4dayY6cKr462Pp4OqOZ9CK5m7QQpQQdMS1RnkPtza1Cks5POhsWLkeA5JQ39Ou4HIl7nSUFAjcl7XQNhwtq0aqV3NKGwi3oPjdPH8KMpGBajGYeX30Es6XtOMrJQ4JZfd9MIvw9OF7WyNI3dnKqwvkrCacqmyip06FVK5mS0LPJiNkiT3g1KnETJXBtkkJ98Naq0Jss5J0jIr+3I5eKBj2xQV7CJSVwCjZRSrikBia2TKT+zpWyO6XcrHxvR04VJotEYqhPmyVnA50rrJmGu05V9dqJnhDqw0ML5DypZ77PaNVZ+nBBLSaLRLifB7FBXr16H8HAZmJ8IFqVkrJ6Paerms973VbSd7q6GZ3R3N/DcwjudZYUCNyUFTvzALhqQjRhfh7OHcwAwVbG561VsTevmjc257S77YhIPz6/byaJoT4U1bbwizd32fOcnMXOHHnFdsqQoB4754xmWYgTK/sCV0epVDAiUp40ZZScWckrrGnmPxvl391fLxrhdo4CwcCgXmcChCg1UJlhFaWyShtaiQJ9jc0p5aFxr/OaveveICvdsxEX7M3UhCDONqT0Zp5174VJjIjwo6bZyF/XZNqfP7t0T3SbFXSEp0Zl7864J/d8cT3UV0ugtwZJgpMusPDeE9zrLCkQuCGldTp+OibXpbeVfSToOXHB3vzlyjEAvLT+hL2LSXvbrr4vlTEx/lQ1Gbjhrd18d7i4v4Z6HtutotQFyW13IusKJqsoJUKhBe6ArdFCZkm9/bm/fJdBi9HMtIRgrpwgOu4JnEODNdDYz1OUjg5Ewvw8GB4hl7fsOdV/bilb0LlW5T6RDZIksTm7AoB5KYOrdO9srpzQOvtV3QtRSqNS8tzSsSgU8MWBQnZY53+2XFFRuifoCrYSvrayORUKxVklfEKUEggEbbBqbz4mi8TUhCBGR7tnm05XZumkGK4YH43ZIvGrTw922C0l1NeD/92bysKR4RhMFn75yUH+s/FEm/XZfYnZItnLCHolSlnL94RTSuAOjLDay20Tpk1Z5fycUYZaqeCZq8aIlWKB02i0OaWEKDVgsZfw9aco5YaZUtllDZTW6/DUKJme2LO8y4HAkrFRrf6u7uXi36T4IHt8x+++OkqLwWxfSBWilKArTE+Uz2F7TrXdMMZWwne8zD1zpdznLCkQuCEGk4VVe/IBuDU1wbmDGaAoFAqevXoMsUFeFNa08PuvjnUoMvl4qPnvLVO4a1YiAP/6+TiPrT6M3tR/NdgH82uo15nw91QzJtq/x8dptrYw99a6zyqsYPASH+wNQFFNC3UtRn771VEA7pyVaC/tEwicQaNeFqV8Rcj+gCXVHnYuRKmO2JQlu6RSk0LctimPIwjy0XJBcoj9747I7nx88Qgi/D3Iq2rmsdWHqGk24qFWigVrQZeYPCQIlVJBUW0LxbUt572eHCacUgKBoB1+PFZCZaOecD8PFo+OdPZwBiz+nhpeuXEiKqWCbw8X88negg63VykV/OGyUTxz1RhUSgVfHijixrd291tnvnUZZYBsje/N6putjbm/p8hBEbg+tiDXwppm/vxtOiV1OhJCvHl44TAnj0ww2GmwOqV8hVNqwDI9MQSFQr5hK2/on2u9bbHLnUQpW57UYC7ds7Fk7JmSckc40v08Nfz5Cjly4oejcqzH+NhAt/p+CJyHj4eaFOsC3sH82vNeTwqTmxKcqmi7I7mrI34LBII+5MNdpwG4aXq8uOj0MZPig/j1ohEAPP1tOocKajvd55YZQ3jv9qn4e6o5kF/LZa9uY3c/WPvXZcqi1EWjInp1HFupogjnFbgDMVZRql5n4suDRSgV8MJ1E/DWCiFA4FzOOKXEuXSgEuSjZWSk7Eze3U75i6OxOaU83GT+V68z2kvK5g4XotScEWeC3o8U1jnkmBePiWw195sYH+iQ4woGB7bvy8E2mjUNtTqlTlc1t9uR3JVxj7OkQOCGHCuqI+10DWqlgptEm/N+4b45SSweHYHBbOGBj9OoatR3us+c4WF898tZpET6UdloYNk7e3hn26k+y5k6WdHIqYomNCpFrzvb1LeIHBSB+3Cu+HT/3KEiS0PgEtgypUTQ+cDGVsK362Rlv7yfLejcXUSpHScqMVkkkkJ9iA/xdvZwnM7Z4ebfHCpy2HH/cuVo+5+zSt0z/0fgHCbGyXOmg20svEcHeqFVKzGYLRTVnF/e5+q4x1lSIHBDPtyVB8AlY6MI9/d07mAGCQqFgn/9YjxJoT4U1+n45ScHMVknhR0xJMSHrx64gKsmyIHpz67J5MFPDlLX0n5oek+xle7NSArBr5dld/X2jlFidV/g+uiMrXPbfrVguJNGIhC0pkEvuu8NBmZZG4tsO1HZLw1OjCb36pC7yVq6d7ZDaDBjPGv++P2RErvzrbd4nZXVteV4BUVt5AMJBG1hc0odLao77/uoUipIDJFL+E5Wul+ulHucJQUCN6OmycA3h4oBuC11iJNHM7jw89Tw31sm461VsfNkFf9Ym9Wl/by0Kl66fgJPXz4KtVLBmiMlXPryNtJOO9bmv+ZICQCLHJAxVml1goX4ant9LIGgr/nzdxn2P//16jGipFngMtgzpUTQ+YBmelIwGpWCwpoWTlc19/n7ma3Cl9INOotaLBKbsuWQ8/kiTwoAk/mMcFnbbGTr8QqHHPfAOaVXv/3yaL93gRa4J4mhPgR6azCYLGSU1J/3ujvnSokZoUDQB3y2vwC9ycKoKH9RnuIEhkX48c9rxwPw9rZcPtmb36X9FAoFt1+QyOr7UokL9qKotoXr/rubVzaccEh99smKRo4W1aFWKs5rN9wTbMHskcKJJ3BxPt59utXvobj5F7gSovve4MBbq2ZSvDwn25bT9yV8tnmDI0Ky+5r04noqGvR4a1VMSwx29nBcApOltRPlaweV8O3Pk0WpSfFyyPmW4xV8ecBx5YGCgYtCoWBiXCDQdq5UYqhNlBJOKYFg0GOxSKzcI9983TZzCAo3WCEbiCwZF8UjC+XyoN9/fYztJ7o+AZ0YH8QPD822l/O9uO44N761m/xerqza3HOzh4US7NN7d5NNlIoIEKKUwHXZlFXOH7851uo5R5VBCASOoFF03xs0zB4ml/BtP+EY10tH2EQptRuIUhuz5NK92cNC8VCrOtl6cGA0t16MXJ9ZZhewe4MtTP66KXH27rN/+T6j37pCCtybiVZhve0OfHLYuXBKCQQCdp6sIr+6GT8PNZePj+58B0Gf8dCCZK6eGIPZInH/yjROlHU9UNLPU8O/b5jIi9eNx0erYm9eNYv/vZUVO3Kx9MA1JUmSPSjzqokx3d7/XCwWifIGuXxPOKUErsqxojqWrzqARYJrJ8fay0JEpYLAlbDdaPqJ7nsDnlnD5LyknSerupQ52RtsopTSHUQpa56UKN07g618LyrAk6QwH3RGCz8dK+3VMY1mC4cLawGYPCSIe2cnMSbGn7oWI3/4+pgo4xN0is3teW4ZKJxVvicypQQCga1E5aqJMaLVuZNRKBT8felYpiYE0aAzccf7+yir795K1DWTYvnxVxcyIymYFqOZP3+XwfVv7eq2NfZgQS2nq5rx0qhYODKi8x06obJJj8kioVBAmJ9Hr48nEDiaUxWN3PH+PpoNZmYlh/LcNWPt2SoWMfEWuBDCKTV4GBsTQICXhgadiSNFdX36XrbznMrFHfMVDXoOW7t5zRshRCkbLdbmHF4aFVdNkBcTe1vCl1Fcj85oIcBLw9AwX9QqJc8vHY9aqeCn9DJ+ONo70Usw8BkXF4BCAYU1LVQ0tO4yPjRUdkqV1etpcoCrrz8RopRA4EAqGvT8lC5fUG6cFu/k0QgAPNQq/nvLFBJCvCmsaeHWd/dS22zo1jHiQ7xZdfcMnrlqDD5aFfvyarjk5W38Z+MJ9CZz5wcAPrGWdF4yJhIfB+SWFFrbvUb4ebpNZx/B4CG/qpmb3t5DRYOelEg/Xr95UqvvqQMi2gQCh2CxSDQaRKbUYEGlVDBzaAhAt8r6e8IZp1Sfvk2v2Wx1SY2J8Rfdos/CJkp5alRcOUGufNiRU9mrMjtb6d6k+EC7g25UtD8PzB0KwJ++PUZ1U/fmqILBhb+nxp4dlV7cWlgP8NYQYo0Hya10rxI+Fz9NCgTuxedphZgsEuPjAhkV7e/s4QisBPto+eiu6YT7eZBd1mB1b3RvBUGpVHDLjCH89MiFzB4Wit5k4V8/H+fif29jSycdWepajHx3RM6Tumm6Y8TKXGu9uO3CJBC4CkW1Ldz49m5K63UMC/dl5d3T8feUy6JajPLvnbdWZJYIXINmo9leTuonnFKDgln2XKn+EaVc3Sm1yVa6J1xSrWgxWJ1SWhVDQnyYGB+IRYLvDpf0+Jg2UWpKQusw+eXzkxke4Utlo4G/fJfe80ELBgWjowMAuUHBudhK+E66Wdi5EKUEAgdhsUh8uk92wywTLimXIy7Ym4/umk6Al4aD+bX830dpXXY5nU1skDcf3jmNl2+YQJifB7mVTdz23l7u+yiNguq2g9C/PliEzmhheISvw7ox2lZAEsOEKCVwHXIrm7j+v7soqm0hMdSHlXdPJ8T3THlpo17+nXOEW1AgcAS20j21UoGHWkyLBwOzk+VcqQP5NQ4Jrm4Ps1XtVKtcV5QymCxsOy6Lc/MdEC0wkDh3EcVWwvdND0v4JEli/+lq4EwukA0PtYrnrx2PUgFfHypmQ2ZZT4ctGASMsRofznVKASSFumfYubj6CgQOYtepKk5XNeProeay8VHOHo6gDUZE+rHijql4a1VsO1HJ8pUHeiRMKRQKrpwQw8bH5nDXrERUSgVr00tZ8MIWnv0+o1V5oCRJrLKW7t00Ld5h3RhtIYZJwiklcBGOFdXxizd3UljTQkKIN6vumX5eKYgt48DHQzilBK5Bo94IyHlSolvu4CA+xJv4YG9MFok9p6r67H3s5Xsu/L3an1dNg95EqK+WcTEBzh6OS9FikIPwPTXy9eqycVGolAqOFNb1yIVSXKejrF6PSqlgfNz5/68nxAVy9+wkAH771VHqWoy9GL1gIDPG+rt6rOh8p1SiPexciFICwaBklT3gPFoEnLswk+KDeOuWKXiolazPLOf+jw+gM3ZfmAK5Q98fLhvFmodmMXNoCAazhXe253Lh85t4c8tJdEYz+/JqyC5rwFOj5OpJsQ77HLYVkCThlBK4ALtPVXHjW7upbDQwOtqf1ffNJCrA67ztbJNsWzmfQOBsGnQiT2owYivh29aHJXy2Tr0qF+6+tzFLLt2bMzzcLboE9idnB50DhPh6cKH1e/PNwe67pfbnyS6p0dH+7d4nPLJwOAkh3pTV63n2+4yeDFswCBhtdUrlVzefJ17aFqu725DJ2QhRSiBwAJWNen4WAeduw6xhobx721Q8NUo2ZpXzfx+l9ViYAkiJ9Gfl3dN5/46ppET6Ua8z8fcfs5j3r81c999dgGz7DvByzI240Wyxr4AMDfN1yDEFgp7yv3353PLuHhr0JqYlBvPJvTPa7AhpNFuobJQ7xUQGiDBdgWtgK98SotTgYnayNVcqp+9EKZMbOKU22vKkUkSe1LnozhGlQO6sDXKJndTNLrIH7CHn7cc4eGlV/PMX41EoYHVaIeszRBmf4HwCvbXEBMoLfxnn5EolWe8Lciubuv0ddSZClBIIHMAXaYUYzRLjYwPs4XMC12bWsFDeu20qXhoVW45XcM+H++2hlj1BoVAwd0Q4ax6azb9+MZ7oAE9K6s50aFEqFb06/tmcrGjEYLLg66EmLsjbIccUCLqLyWzhz9+l85svjmI0SywZG8WHd05r1wVV3qBHkkCrUhLsre3n0QoEbWPLlBIh54OLmUNDUSogp7yRkrqWPnkPi+TaTqnTVU2cqmhCrVQwe3ios4fjcpwddG7jolEReGtV5Fc3c7CgtlvH228VpTrLFp2aEMw91jK+J788So3oxidogzExbedKDQnxRqVU0GwwU1avd8bQeoQQpQSCXiJJEp/uKwCES8rdmJkc2ipjatk7u1vlQfUElVLBtZNj2fjrua2eX7Unn9nPb+Q/G0/0ut1vurWGfFSUv7DbC5xCZaOeO97fx4odeQA8etFw/nPTRHv2RluU1Mo3fuH+HuJ7K3AZGoRTalAS4K1hbGwg0Hdd+GyZUmoXPd/ZSvemJgSLkuo2aLaKUmdf17y1ahaNkgPhu1PC16Azklkiz92mJQZ3srV8TU0O96WyUc8fvjnWnWELBglj2unAp1Ep7S6q01XukyslRCmBoJekna4ht7IJb62Ky8dHO3s4gm4yIynE6u5QcyC/lmvf3EVxbe9XTZv0Jnsnp6snxhAX7EVlo4F//Xyc1Oc28OQXR8gubejRsW0XoFHWmnKBoD/ZmVPJJS9vY9uJSrw0Kt5YNomHFgzrNCTaVnIq3H0CV8LmlBIdIQcffV3CZw86d3FRSpTutY0tU8pb23qx5UprCd/3R0owmi1dOlba6RosEsQHexPh33n5uqdGxYvXjUelVPD9kRK+O1zczdELBjqj23FKgeyWAjjdTldwV8RtRKnq6mqWLVuGv78/gYGB3HXXXTQ2dhzgpdPpWL58OSEhIfj6+rJ06VLKylrX5j700ENMnjwZDw8PJkyY0IefQDBQ+TytEIBLx0aJSa2bMiUhmM/vn0lUgCc55Y1c8/pOjpf1TDCy8fa2XPQmC+NjA3jxuvFsfGwuL10/nrExAehNFj7dV8Dif29l2Tu7+eFoCQZT1yY2ABkl8gVotBClBP2IyWzhxXXHWfbuHioa9AwL9+WbBy/gkrFd6zZ6wvo7NSLSry+HKRB0i2aDVZQSDUoGHbaw8+0nKu2h5I7EFufiiplSTXoTe07JwdvzhCjVJrZzg9c5DuDZyaGE+GipajJ02WW3zxpyPiWh49K9sxkXG8jyeckA/OGbY5Q36DrZQzCYGB4hz6VyK5vOE0fjg2VRKr9KiFIOZ9myZaSnp7Nu3Tq+//57tm7dyr333tvhPo888gjfffcdq1evZsuWLRQXF3PNNdect92dd97J9ddf31dDFwxgWgxmvj9SAsC1kx3XWU3Q/wyP8OOL+2eSHO5Lab2Oa9/Y2WNLf2Wjng925gHYHSQalZKrJ8by7YMX8Pl9qVw6NhKlAnbkVPHAygPMeG4Dz3yf0akYZrZI9vI9kV8m6C+ySxu45o2dvLLhBJIEN0yN49sHZ9knRV06Rpm8kNSdfQSCvqa5jdwYweBg8pAgfD3UVDUZONaG22Agsz2nEoPZQnywN0NFF982sXXm9PdqLVirVUp7ZcTXh7pWwrcvT86TmpbQeene2Tw4L5nR0f7UNht56oujbhVcLehbYgK98NGqMJol8ipbl+klhMi/03mifM+xZGZmsnbtWt555x2mT5/OrFmzePXVV/n0008pLm7bzlhXV8e7777Liy++yPz585k8eTIrVqxg586d7N69277dK6+8wvLly0lKSuryePR6PfX19a0egsHJT+mlNOpNxAV7dftCI3A9ogO9+Py+VKYMCaJeZ+K2FXv5cFdetycBb209RYvRzPjYgPNs8QqFgikJwby+bDJbn5jH8nlDifD3oLrJwLvbc1n00lauem0HH+zMa3NVLLu0gQa9CR+tiuERovOeoG8xmi28suEEl726jSOFdfh7qnn5hgn8fem4bt3ES5JEljVPQ3xvBa6ETZQ6t0RHMPDRqJRckBwCwObsCse/gdUg5YpCwqazSvc6K70erDTojAD4tZG3deUEWZT6Ob2MJmsuXXvoTWYOWUPRp3YhT+pstGolL1w3Hq1KyYascnt1hkCgUChIti7yHS9rXT0Wby3fyxfle45l165dBAYGMmXKFPtzCxcuRKlUsmfPnjb3SUtLw2g0snDhQvtzKSkpxMfHs2vXrl6N57nnniMgIMD+iIuL69XxBO6L7eJw7aQ4l80MEHSPQG8tK++ZzjWTYjBbJP74TTq///pYl3MDyht0fLgrD4CHLxre4WQvNsibxxensOM383nv9iksGhWBWqngUEEtf/o2nRl/28BNb+9m1Z58ezh62mnZAj4xPgi1yi1O4QI3ZfepKi5/dTsvrjuO0SyxcGQE6x+dw5UTYrp9rMKaFsob9KiVCuHwE7gULUKUGtTMGS4vHG3OLnfySPoPSZJEnlQXqG+xOqXaEKUmxAUyJMSbFqOZdRll571+NkcL6zCYLIT4aEkK7b4rLSXSn0cuGg7AX77LoMgBuaeCgcHwcHmR79wqC5tT6rQo33MspaWlhIe3Pmmq1WqCg4MpLS1tdx+tVktgYGCr5yMiItrdp6s89dRT1NXV2R8FBQW9Op7APSmqbWHHSbm865pJ3b9JE7guHmoVL/xiPL+9NAWFAlbuyWfZO3sor++8nv+NzSfRGS1MjA9k7vCwLr2fWqVkfkoEb906hV1PLeD3S0YyIS4QiwQ7T1bx26+OMvWv67n5nT384Zt0oPOWwgJBTymubeGXnxzkhrd2k1XaQKC3hpdvmMDbt04mvAsBrW2RZm2FPTraX5RJCVyKZqOtfE9kSg1G5o6Qr9OHCmp73X33XGxLUq7mk0ovrqe8QY+3VsX0JOHyb48zTqnzzw0KhcK+QNNZCd/es/KkeupKu/fCJCbGB9KgN/HE54f7JANN4H7Y4hBOlLcWpWyZUnUtRoef1/oKp4pSTz75JAqFosNHVlaWM4fYJh4eHvj7+7d6CAYfXx0oRJIgNSmEuGDRTWqgoVAouPfCobxz6xR8PdTsza3m0le2s/Nk+zlTeZVNfLz7NACPXTSiR5OPMD8P7p6dxNfLL2DbE/P4zcUpjI72x2yRWnUIennDCf7+Yxb786oxddHFJRB0RIPOyEvrjrPghS18d7gYpQJunhHPpsfmcuWEmF6VeOw/bZuUixsggWvRYg0zFk6pwUl0oBfDI3yxSLCthzmSneFq1Xs2l9QFyaF4qMX3vj1smVJtiVIAV1lL+LadqKSyUd/ucfZb86Sm9uL6p1IqeOEX4/HUKNmRU8UHVke+YHAzLMLmlGpdvuelVRHu5wG4j1vKqctCjz32GLfffnuH2yQlJREZGUl5eWtbrclkorq6msjIyDb3i4yMxGAwUFtb28otVVZW1u4+AkFXkSTpTOmeCDgf0CwYGcG3D17AAysPkFXawM3v7OHRi4bzwNzk80o2//5jFkazxJzhYfauPr0hLtib++cO5f65Q8mtbGLl7tO8sz3X/vqbW07y5paT+HmomZ4UzMyhoVyQHMrwCF+RESHoMi0GMx/syuPNLSepbZZXhqcmBPGny0czJsYxpXY7cqqsxxWilMC1EJlSgrkjwjle1sjm7Ap7gLUjcNXrsCjd6xyzRaJBbws6P798DyApzJfxsQEcLqzj+8PF3H5B4nnbWCwS+61OqWndzJNq6/1+e+lI/vhNOs/9mMXMoaGim+0gx+aUyqtswmCyoFWf8RslhPhQ3qDndHUz4+MCnTTCruNUUSosLIywsM7LW1JTU6mtrSUtLY3JkycDsHHjRiwWC9OnT29zn8mTJ6PRaNiwYQNLly4FIDs7m/z8fFJTUx33IQSDkrTTNeRVNeOjVXHJWCFyDnSSwnz56oEL+OM3x1idVsi/fj7O3rwa/nXtOHs5097cataml6JUwO+WjHT4GBJDfRgdI7sy44K9eHxxChsyy9hyvILaZiPrM8tZnylPNEN9PZg5NITpScFMGRLMsHBfkXkmOI9GvYlP9+bz362nqGiQV3mHhvnw6EUjuHRspMNuqE5VNJJb2YRGpXCIWCsQOJImuyglyvcGK3OHh/HW1lNsOV6BxSL1wfXSdaxSlY16DhfWAjBvhBCl2qPxrPDy9pxSAFdOiOFwYR1fH2pblMoua6BeZ8Jbq2JUVO8ra26ZMYRNWeVsyq7gV58e5JsHLxBut0FMVIAnfh5qGvQmciubWomU8SHe7M2r5nSle3Tgc4sr8MiRI7n44ou55557ePPNNzEajTz44IPccMMNREfLKxpFRUUsWLCADz/8kGnTphEQEMBdd93Fo48+SnBwMP7+/vzyl78kNTWVGTNm2I+dk5NDY2MjpaWltLS0cOjQIQBGjRqFVqt1xscVuAFfHJDrxy8ZGyUmsoMEL62Kf/5iPFMTg/njN8fYeryCxf/eynPXjGXRqEieXZMBwA3T4vus5b2ttODSsVFcMT6aK8ZHY7FIZJTUsyOnku05lezLq6ayUc+3h4v59rDcndTPU82k+CCmDAli8pAgJsQHiu/tIKa8XseKnXl8vPu0vTwhNsiLhxcO56oJ0Q4P0Letyk9PDMHXQ3zvBK6FKN8TTEkIxlurorJRT0ZJvcMcoq5olNqcXYEkyfl+kQE9ywgcDNjypDzUyg5Fn8vGR/HsmgwOFdSSV9lEwjlB5vusLqlJDmpOo1AoeP7a8Vz8761klTbwr5+y+d2SUb0+rsA9USgUJIX7crigllMVja1EqSHWaJnTbtKBz21mhytXruTBBx9kwYIFKJVKli5dyiuvvGJ/3Wg0kp2dTXPzmf/xL730kn1bvV7P4sWLef3111sd9+6772bLli32v0+cOBGA3NxcEhIS+vZDCdwSg8nCD0dLALhmogg4H2xcNyWOiXGB/OrTQ2SU1HPfxwdQKOTMCB+tikcWDu+T95Ukie1WUerCYWccpkqlgjExAYyJCeD/5gxFbzJzML+WnSer2J9XzaGCWhp0JrYcr2DLcbnltUqpYESEH+Ni5f3GxQYwItJPrLYNYCRJ4kB+DSv35PP94RIM1hyypDAf7p2dxDWTYlvZvh2JrTORKBURuCK28j0RwD940aqVzBwayvrMMjZnlztOlLL+dKVMqU2idK9L2Drv+bXRee9swv08uSA5lG0nKvnmUDG/Wjis1ev7HJAndS5hfh78Y+k47v5wP29vy2XuiHAuSBYu5MFKYog3hwtqyTsnO2qIVSDNF5lSjiU4OJhVq1a1+3pCQgLSOWd9T09PXnvtNV577bV299u8ebOjhigYJGw7UUFdi5FwPw+mJ4U4ezgCJzAswo+vl1/Av9cf5/XNJ+0TzklDggizBgs6muNljZQ36PFQKzvsvOehVjEjKYQZ1u+myWwhq7SB/XnV7D9dw4HTNRTX6cgoqSejpB72yd1DNSoFIyL9GBsTwNiYQMbGBDAswhdPjbhRc2fqmo18dbCQT/YWkH1Wy+ApQ4K498IkFo6M6NPSzuLaFnvnoUWjI/rsfQSCntIiMqUEyF341ltL4h+cP6zzHdwQo9nCVuvi1DwhSnVIXYvslPL36vxW+eqJMVZRqoiHFiTbS98lSWJfrnz9m5ro2I7JC0dFcNP0eFbtyeexzw6z9uHZBHqLCp/ByJAQWXw6XdW6TO+MU0qU7wkEAxJbSdSScVGoRE7PoEWrVvLExSmszyyzd73YdqKSx1cf5ndLRjp8crDthDyRnJYY3C2hSK1S2p1UtryD4toWDhfUcrSozv6obTZyrKieY0X1fIIsVKmUChJDfRgR6UdKhB8pUf6kRPoRE+glMqpcmBaDmfWZZXx3uJjN2RV2V5SnRsnl46K5aXo8E+MdO0Fuj68PFSFJMD0xmNgg0aVU4HrYg841Yko8mJk7QnYgH8ivpa7FSEA74dbdwS5O9PpIjmF/Xg0NehMhPlrGxwY6ezguTU2zAYAQn87ncotGR+KpOcqpyiaOFNbZQ6ULa1oordehViqYGOf4a+7vl4xk98kqTlU28duvjvLaTZNcNlxf0HckWh1RuedkRw0JkedcZfV6Wgxml3cDiyuwQNANmg0mfk6XS1GucGCHFoF7ciC/xi5IpUT6kV3WwOq0QjZll/P0FaNZMjbKYROE7Tly6d5sBwRFRwd6ER3oxSVjowB5Na+wpsUuUB07S6jKKW8kp7yRNZTY9/f1UDM8wpcRkf6MjPIjOdyX5DBfwvw8xITISdS1GNl2ooKf08tYn1lmv9EG+bt547R4rpoY45Abra4iSRJfWvP3rpkkSp0FrofFItFiFOV7AogN8iY53Jec8ka2n6hkybgoZw/J4WzKlkv35owIE4uqnVDVJItSQV1YYPT1ULNoVCTfHi7mq4NFdlFqr9UlNSYmoE/OL95aNf++YQLXvL6TH46W8sWBItERfBBiE59On1OmF+itJcBLQ12LkfzqZpfv1ChEKYGgG6zPLKfFaCY+2JsJbtBeU9B3mMwWfvfVMQCWTorlhevGsz+vmie/PEpOeSMPrjrIVylFPH3FaOKCe+cQ0RnN7D5VBcCs5M47lnYXhUJBXLA3ccHeXHqWUFXeoCezpJ7s0gayrI+T5Y006k0cyK/lQH5tq+P4eaoZGuYrP8J97H8eEuKNxsHh2YMdSZI4WdHIpqwKNmSVsT+vBpPlzHp8XLAXl4+L5ooJ0YyI8HOKWLgvr4ac8kY81Eq7ACoQuBI60xnx1sdDiFKDnbnDw8gpb2RzdrlDRClXy5TakCny/bpKdaPVKeXbNdf71RNj+PZwMd8dLuZ3S0aiUSnZf1oWpaYlOi5P6lzGxQbyyEXD+edP2fzpm2NMSwgmPkS4kgcTCdbyvdJ63XmOqCEh3hwprCOvqkmIUgLBQOLbQ3Lp3hXjo4UjZJDz7vZcMkvqCfDS8NtLUwC5g8+ah2bx+qaTvL45hw1Z5WzLqeS+C5O4f25yj1fKtp+oRGe0EB3gycio/rmoKBQKIvw9ifD3ZO5ZbaONZgu5lU2ySGUVrE5WNJJf3UyDzsShgloOFdS2OpZaqSA+xJuhYb4khvoQH+zNkBBv4oO9iQn0cni3t4GIJEmcKG9k96kq9pyqZk+u3GXxbJLDfZmfEs4lYyKZEBfo9HPUih25gOyS8u8kLFYgcAZN+jOilKdo9DDomTMijHe257LleAWSJPX6HOpK08S8yiZOVjShViqYPczxi1sDjeom+foa3IXyPZBd7KG+WiobDWw7UcH8lAi7U8qRIedtcd+coWzJrmBvXjWPfHaI/907Q8yrBhFBPmccUaerm0iJ9Le/Fhcsi1KFNS1OHGHXEKKUQNBF6pqNbDkuW5+vmCBK9wYzOeUNvLDuOAC/u3QkIb5nws091CoeuWg4l42L4k/fprPzZBWvbMzhiwNF/G7JSC4ZE9ntie566+rmwlERThcaNColwyP8GB7h16qEVW8yc7qqmZzyRk6WN3KyopGTFU2crGik2WDmVEUTpyrOD1tUKRXEBHrZRSr5p49dsPL3Ujv9M/c3tnLKY2dlftnKKc9Gq1YyPTGY+SnhzE8Jt4ddugKFNc38lF4KwO0zE508GoGgbWwh514alcjJEzAtMRgvjYryBj3pxfUO68InuUCqlG0eMS0xuF/LuN2Vauv1Ntina81r1Coll4+PZsWOPL48UMT42EBOWuc8UzpoTuMIVEoFL1w3nktf3kba6Rpe3ZjDIxf1TSdogWuSEOLN4cI68iqbW4lSsUFegDwnc3WEKCUQdJG16SUYzRIpkfINuWBwYjJbeGz1EQwmC3NHhPGLKW3X7w+L8GPl3dNZe6yUZ9dkUlTbwgMrDzBzaAh/uGwUI6P829zvXCwWifWZshh60SjX7V7moVbZxaqzkSSJ0nodJ8ubyClv4HR1M/lVzfLP6mYMJgv51j+3hbdWRVSAJ9GBXkQFeBIV4EV04Jmf4f6e+Hm4p3BlNFsorm2RBbzyJlnQq2gkp6LxPAEK5KDyyUOCmJ4od1ccHxeAh4u6O97bnodFgguSQ1zeMi4YvDQb5bbvovOeAOTr2KxhoazLKGNjVnmvRSlbbpPZ4nxRaoN1HrFgpOvOI1yJM06prgt410yMZcWOPNZllNkd5sPCfQnqotuqN8QFe/Ps1WP41aeHeHXjCVKHnunCLBj4DAnx4XBhHfnndNqzNZgRTimBYADxw1F51f9yEXA+qHl7Wy6HC2rx81Tz3DVjOxRDFAoFl4yNYu6IcN7YcpI3t5xk58kqLn1lG9dMjOXRRcOJCfTq8P0OFtRS2ajHz0PN9ET3m2AoFAqiAryICvBi1jkh7RaLRFmDjtNVNqGqifzqFvKrmsivbqam2UizwWx1XLXf0larVhLqoyXE14NQX9tP+c/BPlr8PTX4earx9zrz01er7hNnhCRJNBvM1DQbqGkyyj+bDVQ1Giipa6G4TkdxbQsltTrKG3S0d6+iVioYEenHuFi5c+LYmABSIv3Rql3fkl9Wr2PlntMA3HvhUCePRiBoH1tDABFyLrCxcGQ46zLK2JBZxkMLhvXqWGqlfL52tihV12xkb55cSrZwpMiT6gpV1kyprjqlAMbE+DM0zIeTFU08830GAFP7ME/qXK6cEMP2E5WsTivk4U8P8cOvZne5/FDg3kRb7yWKa3Wtnj/jlBKilEAwIKjXGdl5Uu5+tnh0pJNHI3AWJ8oaeMlatveHy0YRFdCxoGTDS6vi0YuG84vJsfx9bRZrjpTwxYFCvjtSzB0XJPDAnGQCvNtejbNZ7ueMCHMLQaI7KJVnBKu2VvRaDGZK6loosQk5dTpZ2KmVf5bU6mjQmzCYLLLYU6dr413aRqEAX60abw8VHmoVHmolWrUSD7USD7UKrVqJRqVAks6085YkuQhDksBksdBiMNNitKAzmtEZzbQYzTTrzRjMli6Pw0OtJCnMl6Fh1mD4cPnPyeG+LuuC6ow3Np9Eb7IweUgQFzqgW6RA0FfYyveEU0pgY57V4XK4sI7yeh3h/p49PpbNKWVysii1+Xg5ZovEsHBflyrzdmVqmq1B590QdRQKBddMiuWfP2VT1yK7naf1cZ7Uufz5ytGk5ddwqqKJx1cf5p3bprilk1zQPaID5fNUSV1r8SlOlO8JBAOLTVnlGM0SyeG+JIf7Ons4AidgNFv49erDGMwW5o0I4xc9aLsbF+zNazdN4p7ZtTz3QyZ7cqv575ZTfLq3gAfnJXNL6hA8Na1vjtZlyKKUK5fu9RVeWhVJYb4khbX/O9diMFPVpKey0UBVo57KRvnPlY16qhoNVDcZaNAZadCZqNcZqW8xYTBbkCRo0Jto0Jv6ZOxatZJgby2B3hqCvGXHVqS1DDHGXn7oRYiPdkBl2RTVtrBqTz4Aj100XEyGBS7NGaeUmA4LZML9PRkfG8Dhwjo2ZpVzw7T4Hh9L7SLle6J0r3tIkkR1k80p1T2n0ZUTovnnT9n2v/enUwrAW6vmPzdO4qrXd7Ahq5wVO/K4c5bIdRzo2BbJz3VKxQTK5XsNOhN1LUaXzpMTV2GBoAusPSaX7i0eLS7og5UX1x3ncGEd/p5qnrtmXK9utifEBfLpvTPYlF3O33/M4nhZI3/9IZN3t+eyfN5Qrpsah4daxamKRnLKG1ErFa064AnO4KVVEav1ttfNdwWd0WwXqVoMZvQmC3qT/NNgssh/N5oxWSQUyK4qBQqs/6FQKNCoFHhqVHhpVHhp5Z+e1j8HeWvw0qgGpSDz3A+ZGMwWZiQFkzrU/cpNBYMLndEWdD6wXKiC3rFgZASHC+tYn9k7UcrulDI7T5Qymi1szrblUop5RFeo15kwWv/NuitKnTsX6SyioS8YFe3PH5aM5A/fpPPcj5lMTQhmbKxjQvsFrklUQNtOKS+tihAfLVVNBopqWoQoJRC4Mzqjmc3ZFQBcPDrKyaMROIOdOZW8ueUkAP9YOo7IgJ7b+W0oFArmp0QwZ3g4Xxwo5N/rjlNcp+MP36TzxuaTLJ+fTKm1HG1mcqhLX0jcDU+rgBTm1/WsCEHn7D5VxfdHSlAq5PLWwSjKCdwLvUkutXXXUllB37BgZDgvrjvOjpxKdEbzeQ7mruIKQef78qqp15kI9tEyIa5vu8ANFMrr5blXgJemR//2kf6elFqPIUmSU66FN88YwvacSn5KL+OXnxzg+4dm4+shbvsHKjbxs7LRgN5kbnVNiw3yoqrJQGFNM6Oiu9ZkyRmIpSGBoBO2Hq+gxWgmJtCLMTGu+8ss6Buqmww88tkhJAlunBbHJWMdK0yqlAqumxLHpsfn8syVo4nw96C4TsfvvjrGqxtzALhY5JgJXByj2cLT36YDcNP0eEZHi1VZgetjc0p5CqeU4CxGRfkTFeBJi9HMrpNVPT6OWmXLlOp6zqCjsZXuzRsRbhfJBB1jE5Qi/Hu2cHW2uyq9uN4hY+ouCoWCfywdR3SAJ3lVzfz+q6NIkvO7QAr6hkBvjf06Vlp3bti5e3TgE1dhgaAT1qbLpXuLRkeIlf9BhiRJPPH5Ecrq9QwN8+EPl43qs/fyUKu4JTWBLY/P4+nLW7/PP9ZmsWpPPnqTuc/eXyDoDW9uPklWaQOB3hoeu2iEs4cjEHQJ4ZQStIXsZJZL3WzNRnqCysnd9yRJso9fdN3rOmX1egAiehByrzOayalotP/9q4NFDhtXdwn01vLKjRNRKRV8faiYLw44byyCvkWhUBBtzZUqqm0tPrlLBz4hSgkEHWA0W+yrTMKtMvj4ePdp1meWoVUpeeXGiXj3Qxiup0bF7Rckcu+FSfbn6lqM/Paro8z+xybe3nqKpj4K5xYIekJmST2vbDwBwNOXjyZItKAWuAk2od9jgHU2FfSehdZQ8I1Z5T12mKid3H3vZEUjp6ua0aqUzB4e5pQxuCNldqdU90WpwwW1GExnnHHfHCrG1I2OvI5mSkIwjywcBsAfvj5GTnmD08Yi6FuibB34as91SrlHBz5xFRYIOuDA6RrqWowEeWuY0s9tXQXO5VhRHc+syQTgN5ek9Gs5kiRJrLd23fvb1WP542WjiPT3pLxBz19/yGTm3zfy0rrj1Fi7wwgEzsJgkrtSGs0SF42K4MoJ0c4ekkDQZXRGq1NKlO8JziF1aAheGhUldboel2A5O1NqvXVRdcbQEJEn1A3KelG+t/tUNSA3Rgry1lDZqGdHL0pAHcH9c5OZOTSEFqOZ+z8+QLNBLGwORMJ85e9rVZO+1fOifE8gGABsPi4HnF84PEzU4g8i6pqN3L8yDYPJwoKUcO68IKFf3z+zpIFTlU1o1UouHx/FnbMS2frEPJ5fOo7EUB/qWoy8vOEEF/xjI39dk2GfQAkE/c1zP2aSXlxPoLeGv149RpQ4C9wKm1PKU5TvCc7BU6Ni1rBQ4EwuU3dxtlNqgyjd6xG2TJ7IHjil9uTKAtSs5FAuHy8v0nx1oNBxg+sBKqWCf98wgTA/D06UN/K7r46JfKkBSIhNlGpsvWBtc0qdW9bnaghRSiDogE1ZZwIiBYMDi0XisdWHKKhuIS7Yixevm9DvN9rfHykGYN6IMPw85a57WrWS66bGsf7ROfznpomMivKn2WDm7W25zP7HJp74/DDHy4QtW9B//Hi0hBU78gD417XjCffrfVdKgaA/0QunlKADbGLOxqye5UqdcUr1f/lWdZOBtNM1APZ8LEHXKGuQnSbh3RSlDCYLB/Ll/+czkkK4emIMAD+llzk9diHcz5P/WPOlvjpYxCd7C5w6HoHjCfGVoxMqzxGlYqyiVF2LkXqdsd/H1VXEVVggaIfSOh1ZpQ0oFLJTSjA4eHPrSdZnlqNVK3lj2WQCvDX9+v6SJPH9kRIALht3fimUSqngsnHRrHloFivumMq0hGAMZguf7S9k0Utbue29vWw/USlWwQR9yqmKRp74/AgA/zcniYWjIpw8IoGg+5zJlBJOKcH52BYkDxfWUd4DR7LNKWU09//1eFNWORYJRkb528t3BF2jrIdOqSOFteiMFkJ8tCSH+zIhLpDEUB9ajGbWHivti6F2i+lJITy+WG5E8vS36RwtrHPyiASOJNSn7fI9b63a3hGyyIVL+IQoJRC0w+Zs2SU1PjawVXtXwcBl58lK/vVTNgB/uWI0Y2L6v639gfwa8qub8daqWNCB5V6hUDBvRDif3ZfKF/encsmYSJQK2HK8gpvf3cMlL2/j87TCVoGbAoEjqGkycOf7+2jQm5iaEMSvF4luewL3xOaU8hROKUEbhPt7Mj5WngdsyOp+CZ8zu+9tyBKlez3BbJGoaOxZ973dp+TSvWmJwSgUChQKBVdNkN1SXx9yjc53985OYuHICAxmCw+sSqOu2XWdM4LuYXNKnVu+B+7RgU9chQWCdticLedJidK9wUFZvY6HPjmIRYJrJ8dy/dQ4p4zD1rL3kjFRXe72N3lIMG/cPJlNv57L7TMT8NaqyCpt4NerDzPrHxt5bVMOtc0iFF3Qe/QmM//3URp5Vc3EBHrx+rLJaFRiKiFwT3TCKSXoBFsXvp/Tu+90cVamlMFkYevxSgAWjBQu1u5Q1ajHbJFQKiDUt3sL0nty5ZDz6YlnGiPZSvh25FS6RP6nUqnghV+MJy7Yi4LqFh5bfQiLkzLPBI7lTKaU/rzX3KEDn5hJCgRtYDRb2J4jX9DnjhClewMdg8nC8pUHqGw0kBLpxzNXOiewWWc08/1hOU9q6aSYbu8/JMSHp68Yza4nF/DExSOI8PegvEHPP3/KJvW5jfzpm2Ocqmh09LAFgwSzReKJz4+wN68aPw81K+6YSphf97sTCQSugj1TSi2mw4K2WTwmEoAdOVU0dDOPRaWyZkqZ+9exvCe3ika9iTA/D8Y5wfHtzhRaw6CjArxQd2PBxWi22DO8ZgwNsT8fH+LNlCFBWCT4xkXcUgHeGt5YNhmtWsn6zHLe2nbK2UMSOIAQa1VPZZPhvAiPqABZlCqpc74w2h7iKiwQtMGRwloa9SaCvDWMFRf0Ac+fv0tn/+ka/DzUvHHzZLy0zlk135hVTr3ORHSAJzOSQjrfoR0CvDU8MDeZbU/M58XrxjMyyp8Wo5kPdp1m/gtbuPW9vWzMKhOrY4IuY7FI/O6ro3xzqBiVUsFryyYxPMLP2cMSCHqF3mQr3xNOKUHbDAv3JTHUB4PZYnfQdxVnOaXWZ8ilewtSwlGKztHdoqBadpLYwqG7ytGiOpoNZgK9NQwPb31tvMrqlvrqYLFjBukAxsQE8PTlowH450/Z9tJDgftiK98zmCw0G8ytXosKkEtRhSglELgZu07KJ+cZSSHigj7A+Xj3aVbuyUehgJdvnEBiqI/TxvKltXTvqokxDvneadVKrpkUyw8PzWLl3dNZODIchQK2Hq/gzvf3M/dfm3ln2ynqWkSmgKB9JEniz9+l8+m+ApQK+Pf1E0TzB8GAQGe0le+J6bCgbRQKBYtGyyVwP3WzhE9tzZTqz6BzSZJYnynnX4nSve5jy9yJ7aYoteeUXLo3LSH4vPnbZeOi0KqUZJbUk1Va75iBOoAbp8VxzcQYzBaJB1cdoKTOdfOGBJ3jpVHZO3426Fp3e7Q7pWpd999YXIUFgjbYZV0xSB3ac7eKwPXZc6qKp79NB+DxxSOYn+K8CVxVo94ern9ND0r3OkKhUHBBcijv3DaVLb+exz2zE/H3VJNf3cyzazKZ8bcN/Paro2SXNjj0fQXuj8Ui8fS36Xyw6zQAz187nsvHn98VUiBwR2xOKQ8RdC7ogMWj5RK+zdkV9o6NXcH2verPhiPZZQ0U1bbgoVYyKzm03953oHBGlOpex0Kb02h6Gy73QG8t81LkhZyvDrhGCR/Ic8Nnrx5DSqQflY0G7vv4gF2oF7gfCoUCP085i7ZR33qxOSpQOKUEArdDbzKzP0+uC0/tRQmVwLUprGnm/pUHMFkkLh8fzf1zhjp1PN8dLsZkkRgfG0ByeN+VRcWHePO7JaPY/dsF/O3qsYyI8KPFaGbVnnwW/3srN7y1i7XHSjD1cwaGwPUwmCw8/L9DdkHqb1eP5drJsU4elUDgOGwCg6cIOhd0wITYQCL8PWjUm9iZ0/UyJ601k8hg7gCJzZgAALo9SURBVL8bfVvp3qzkUKdFEbgztiDo7jilTGYL+/Nkp9SMpOA2t7EFnn99qMgp3Rjbw1ur5q1bphDgpeFwQS1//ObYeXlEAvfB10MWperPc0rJolRZvc6lvn9nI0QpgeAcDuXXojdZCPX1IDnc19nDEfQBzQYT936YRnWTgTEx/jy/dJxTgs3P5suD8urZNZP656bfW6vmpunxrH14Np/eO4NLxkSiVMDuU9Xc9/EBLvjHRl78OdulO3UI+o4mvYl7P9rPt4eLUSsVvHzDBG6aHu/sYQkEDkVnFE4pQecolQoWjZLdUt0p4bOVhfanU0qU7vUOm1MqrhtOqfTiepoMZvw91aRE+re5zbyUcAK8NJTV610uvyk+xJv/3DQRpQI+21/Ix7tPO3tIgh7i56kBoPEcUSrczxOVUoHJIrXZnc8VEFdhgeAcbKV7M5KCnS5UCByPJEk8vvoIGSX1hPpq+e8tU5y+mphT3sCRwjrUSkW/l0YpFApmJIXwxs2T2fab+TwwdyjBPlrK6vW8sjGH2c9v4o4Ve/k5vVS4pwYJBdXNLH1jJ5uzK/DUKHn7tilcOcGxJaUCgStgc0p5CKeUoBNsJXzrMsq67DTQ9rMoVdGg53BhLQALRob3y3sOJCwWiaIeZErtyZXvG6YlBtszfc7FQ61iybgo4Ex+qCsxe1gYv7k4BYA/f5fBPqvzS+Be+FmdUudmSqmUCsKt3ZKLXbSET4hSAsE57BZ5UgOa1zefZM3REjQqBW/cPJmYwO6FWfYFn6fJE5S5I8IJtrZ0dQYxgV48cXEKu56az6s3TmTm0BAkCTZlV3DvR2nM+scmXlx3nCIXDkoU9I5dJ6u44j/bySptIMzPg0/umcG8EeLmRjAwOdN9T0yHBR0zPSmYAC8NVU0G0k7XdGmfM+V7/SNKbcoqR5JgXGwAEf6e/fKeA4mKRj0GswWVUmEvd+oKu60h59MTO75vuMZawrf2WAktBtfLbrr3wiQuHx+NySJx/8ci+NwdaS9TCs6U8JW66L+ruAoLBGdhMls4XFAHwNSEtuvCBe7LT+ml/OvnbAD+cuUYl/g3NpotfJ5WCOAyeT0eahWXj49m1T0z2PjYHP7vwiSCfbSU1ut4ZcMJZv9jI3e+v4+f00sxCvfUgMBikXh9cw63vLuHmmYjY2MC+PbBC5gYH+TsoQkEfYbeWr6nVQmnlKBjNColC1Jkgb6rJXw2p5Tte9bXrMuU86QWOLFpiztjiyuI9PdEreraLbLZIrEv15Yn1bEoNXlIEHHBXjQZzPyc0b1Ojv2BQqHgH0vHWoPP9SL43A3x9WzbKQVnOvAV1wqnlEDg8mSXNdBiNOPnoSY5TORJDSSOFtbx8KeHkCS4NXUIN05zjXycTVnlVDbqCfX1cEm7fVKYL09dOrKVe8oiwcascu79KI0Zf9vAX77LIKPYddocC7pHeb2OW97bw/NrszFZJK6cEM3q+1LtExiBYKBiE9U1alGqL+icRaPP5Ep1JQzaliml74fFG53RzPYTlYAo3espeZWyKBUX3PVrX2ZJPQ16E34eakZFt50nZUOhUHD1RHnx0bYY6WqcG3z+u69E8Lk74W2NI2nLiRdpc0rVC1FKIHB5DubXAjAhPhBlO3XhAvejuLaFuz7YR4vRzJzhYfzxslHOHpKd/+0rAGDp5Bg0XVyZcwZtuadCfT2oajLw3o5cLn1lG5e8vI13t+dS6aIhioLWSJLEj0dLuPjlbezIqcJLo+L5peP49/UT8NQI54hgYCNJEiZrNpBa6brnXoHrMGd4GJ4aJYU1LWSUdL4Qo7VmlfVHptT2E5W0GM1EB3gyuhNxRNA2uZVNgLwY11VskR9TEoLazZM6m6WT5BK+HTmVlLpoto8t+FylVPDFgULe3HLK2UMSdJGOSoZt5XslLvq9E1dhgeAsbKLUxLhAp45D4Dga9Sbu+mA/5Q16RkT48Z+bJnbZlt3XlNbp2JQtd8q5fkqck0fTdWzuqd1Pzee926dw6dhItColmSX1PPN9BjP+toG7P9jP2mMl9iBhgWtRVq/j/z5K4/6VB6huMjAqyp/vfjmL66bGiQYPgkGB0Xxm9V/rItcEgWvjpVVx4bAwAH5KL+t0+/4MOl+XIY9n0ehIcQ7vIXZRKtSny/vY86Q6Kd2zMSTEh6kJQVgk+Oqg6wWe25g9LIw/XS4v4D7/U1a3uk4KnIemQ1FKdgCWuGgurLgKCwRncbBADq8UOSoDA7NF4qFPDpJp7bT37u1T7O1SXYHP0wqwSHLHlu6szLkKapWS+SkRvL5sMnt/t4BnrhzN+LhATBaJ9Zll3PfxAaY8u57HVx9my/EKkT/lApjMFj7clcfCF7bwc0YZaqWCh+Yn89XymSSHu993UCDoKSbLmfORWiVu4gVdw9aFb+2xkk637S9Rymy95gJcNErkSfWUU1ZRKrGLopTFItm71HWWJ3U2SyfJJXxfHCh06dK4W1MTuGXGECQJHv70EOnFdc4ekqATbOcco+n871VUoGs7pdTOHoBA4CrUNRs5VSFfkCYIp9SA4Nk1GWzMKsdDreTtW6cQG+Tt7CHZsVgk/rdfLt27Yar7uKTaI9Bbyy2pCdySmkBOeQOfpxXx9cEiSut1rE4rZHVaIcE+Wi4ZE8nl46OZmtB+62RB37Apu5y/rskkp7wRgPFxgdZQU1HqIRh8nO2UcuXSaYFrsXBUBBqVguNljeSUN5Ac7tfutv3Vfe9Afg1VTQb8PdVMS3R+Axd3xGKRyOumKJVV2kBdixEfrYox3SiZvHRcFH/6Np2c8kaOFNYx3oXvOf50+SjyqprYdqKSuz/YzzfLLyBcdHZ0Wc44pc6vUrCV75XV6zBbJJebg4ursEBgxbYCEB/sTZCP1smjEfSWD3flsWJHHgAvXjfB5dxvu05VUVDdgp+HmkvGRDl7OA4lOdyPJy9JYeeT8/ns/1K5ZcYQQny0VDcZWLknnxve2s3Mv2/gz9+lsze3GrPFdVcKBwKHC2q59b293LFiHznljQR5a3jmytF8ef9MIUgJBi1nOzc1wikl6CIBXhpmW0v41hzpuKTJHnTex2XsttK9+SnhQmDtIWUNOlqMZlRKBXHBXVvA3GXPkwruViyEv6fG7rj74oBrBp7bUKuU/OemSQwN86GkTsc9H6WJjnwuTEdOqXA/T1RKBSaLRJULZr+KM5dAYMUWWjkyqv1VL4F7sDm7nKe/TQfg8cUjWDLO9USfT60B51dOjMZLOzBDpZVKBdMSg3nmqjHs+e0CPrprGtdNicXfU01ZvZ4VO/K47r+7mPpXucTv5/TSNjuGCHrGgfwabl+xlytf28HW4xVoVAruvTCJzY/P45bUBJdbJRMI+hOT1SmlUipEBo+gW1w6Vp5TrDla3OF2Hv1QvidJEj9b835s3QEF3SfXWikRH+zdZWFv10m52+HMoV0v3bOxdLJcwvft4WKXz94M8NLw7m1TCfSWO/L9evVhly47HMx05M5UKRWE+3kAUOyCJXyifE8gsJJV2gDAyCjhHHBnskrreXDVQSwS/GJyLA/MHersIZ1HTZOBn47Jk8gbpsY7eTT9g1qlZPawMGYPC+PZq8ay7UQFa46UsCGrnOomg73Ez1Mjb7doVARzR4QTZr2ACrqG2SKxIbOM93fmsfOkvIqrUiq4akIMDy1IZkhI1wNcBYKBjM0pJVxSgu5y0VklfCfKGhgW0fZiZn9kSuWUN5JX1YxWpeTC4WF99j4Dne7mSZnMFvZYQ85nDg3t9vvNSg4lwt+Dsno9m7LKudjFHfMJoT68sWwyt7y7h++PlJAU6sOji0Y4e1iCc7DlI5raqUCIDPCkpE4nd350seQQIUoJBFYyrU4pUc7ivpTW6bhjxT4a9SZmJAXz16vHuuQK+FcHizCYLYyK8mdMTICzh9PvaNVKFoyMYMHICExmC3vzqlmXUcbP6WUU1bawLqPMXo4wKsqfC4eHceGwUCYnBOGhHpiust5S02Tgs/0FfLT7NIU1cmcVtVLBNZNiWD5PiFECwbnYRSmlKBoQdI8ALw0XDgtjQ1Y5a46W8LATRamfrdfKC5JD8PUQt3U9JbebotSx4noa9Cb8PdWM6kaelA2VUsFVE2P475ZTfJ5W5PKiFEDq0BD+evUYfvPFUV7ZmENskDfXDYBM1IGETYtqzwhvc0pVNAinlEDgkpjMFk6UyeG/o4RTyi2p1xm5fcVeSup0DA3z4c2bJ9snhK6EJEms3HMagBuniYu5WqVk5tBQZg4N5Y+XjSKjpJ6f08tYn1lGenE9GSXy480tJ/HWqpiRFMKFw0KZnhTCiAg/lIO4BE1vMrMxs5wvDxaxObvcHtwc6K3hhqnx3Dwj3qXC/QUCV8K2kqxxweuEwPW5dGyULEodKeHhhcPb3MYuSvVh0LlNlBKle73jVIV8D9BVUWqntXRvRlJIj0vhr50Uy3+3nGJzdjmVjXpCfV3fGX791HhOVzXz+uaTPPXVUSICPJkjHHoug62sUtnOgny4nxx2Xt7geplSQpQSCJBtuwazBR+titggL2cPR9BNDCYL932URlZpA2F+Hrx/xzQCvV0zrH7XqSpOVjThrVVx1cQYZw/HpVAoFIyODmB0dACPXDScigY923Mq2Hq8km0nKqhsNLAxq5yNWeWAvFo9NSGIqQnBTEsMZkxMwIAPeW3Sm9h2ooJ1GeWsyyilXmeyvzYmxp9bZyRwxYRoPDXCUSYQdITNKaUexMK2oOcsHBWBVqXkRHkjx8saGN6GW8qW76LvI6dUWb2OwwW1KBSwYGR4n7zHYOG4dWG6rX/HtthlLY/vSZ6UjWERfoyPDeBwYR3fHCrmrlmJPT5Wf/L44hEU17bw9aFiHvg4jc/uS2V09OBz/bsiFqso1V6RiM0pVV4vRCmBwCWxtUgfNsidF+6IxSLx+OeH2XmyCh+tihW3T+1y5xRnsHJ3PgBXT4zBz1Pj5NG4NmF+Hlw9MZarJ8ZisUhkltaz9XglO3IqOZBfQ12LkfWZ5azPlEUqL42KcbEB1kcg42IDiA/2dskSzq5isUhklzWw+1QVW49XsONkVatSkKgAT66cEMM1k2K6PJkWCATYnYUDXcgW9A1yF75Qu1tq+EVtiFLqvhWlbGXuE+MC7Q4IQfdp0BkpqpXL3odH+Ha6vd5kZl+eNU8quft5UmezdHIshwvr+CKt0G1EKYVCwfPXjqesXs+uU1XcsWIfXy2/gJhAsajvbGzlewracUr5W0UpUb4nELgmtlrypC7adgWuw/M/ZfPNoWLUSgVv3DzZpTOayup1/GTtknPzjCFOHo17oVSecVHdP3coRrOF9OJ69uVWsye3mv2nq6ltNrLH+ncb/p5qxsUGMjLKj2HhfgyL8CU53NdlBcG6FiPpxXWkF9Wz/7T8WWqbja22iQ/25qJRESwcGcG0xGDRRU8g6AEmEXQu6CVLxsklfD8cLeGRi84v4bNlIBpMFiRJcvgCia1076JRonSvN5ywLkxH+Ht0yWV/KL8WndFCqK+WYeGdi1gdcfm4aJ75PoOMknoyS+rdptmSVq3kzVsm84s3d3K8rJE7Vuxl9X0zCfByzbnVYMFiL99r+3VRvicQuDh5VlFKhAG7Fx/uyuPNLScB+PvScS7feebTvQWYLBJThgS5zcTDVdGolEyIC2RCXCD3XJiExSJxoryRw4W1HC2s40hRHZnF9dTrTGzPqWR7TmWr/aMCPEkO92VIiDexQd7EBnnZf4b4aPvUXSVJElVNBnIrm8itbCLP+jOjpJ7TVc3nbe+tVTE1IZgZSSEsHBlOcrivW7u/BAJXwOaUUgunlKCHdFbCd3aupcFscWijjgadkV3WXKNFoyMcdtzByHFr9+2uuo1tnW1Th4b2+loc5KNlQUoEa9NL+SKtkN9fNqpXx+tPArw0rLhjGte8voPjZY3c91Ea7985VTSkcSKSPei87e+lraO1EKUEAhclr0oWpRJCXbfsS9CatcdK+dO36QD8etFwrp0c6+QRdYzJbOGTvXLp3i2pwiXlaJRKBSMi/RgR6cd1U+QAeYPJwvGyBo4W1ZFd2kCO9cahvEFPSZ2Okjod206cfyytWkmIj5YQXy3BPh6E+GgJ9tHi46HGS6PCW6vCS6PCU6tCpVAgISFJICELTjqjmUa9mSa9iSaDiUadicpGPeUNesrr9VQ06jvsxhQX7MWYaLkEcUbS4MjKEgj6G3v3PfG7Jegh/p4aLhweyvrMtkv4vM7K9tMZHStKbc6uwGiWSArzYWhY79w6g53sMlmUGtGPeVJns3RyLGvTS/n6UDFPXpLiVkJ5TKAX790+leve3MWuU1X85vMjvHT9BLFw5iTsWYntOIBtmVJVjXrMFsmlnPZClBIIgDyrOyFBOKXcgrTT1fzq04NIEtw4LZ7l85KdPaROWZ9ZTmm9jhAfLRePEVb7/kCrVjImJuC8ks66ZiM5FbJIVVDdQmFNM4U1LRTWtFDWoMNgsthFq75CoYDoAC8SQ31IDPUhIdSHlEg/Rkf7u2xIv0AwkDBZRPmeoPdcOjZKFqXaKOHTqBSolArMFnmxwpGlTfaue6J0r9ccL+u6U6rFYOZgQQ3gOFFq7ogwQny0VDbq2Xqigvkp7uV8Gx0dwOs3T+bO9/fx9aFiYoK8eHxxirOHNShpMZgB2WHfFiG+HigVcvZUVaOecH/XyaITopRg0NOkN1FhtTEmiEwplyenvIG7PtiP3mRh4chwnrlytFusyHy8+zQA102NE9ZmJxPgrWHykGAmDwk+7zW9yUx5vZ6qJgPVTXqqGg1UNRmoaTLQZDDRYrCgM5ppMZppNpiwSKBAFpkUKFAo5NVxbw81vh4qfLRqvD3UhPlqCfPzJMzPg3A/D8L8PESHPIHAidjL91xopVjgfthK+HLKG8/LBFIoFHhpVDTqTfabRUdgMFnYbO1Ce9Eo9xIwXJHsUmvnvcjORan9p6sxmiWiAzyJd1BTHY1KyRUTolmxI48v0orcTpQCmDM8jOeuHssTXxzhtU0niQzw4haRndrvNFvPM17tzC9VSgUhvh5UNMjufSFKCQQuREmd3HHDz0MtAvpcnMKaZm5+Zy+1zUbGxwXyyo0T3cLmfKqike05lSgUcNO0eGcPR9ABHmoVccHeLt3BUSAQ9B5RvidwBP6eGualhPFTehnfHi4+Ly/S0yZKGR0nSu0+VUWD3kSorwcT4wIddtzBSFWjnspGeWG6K6HljsyTOpulk2JZsSOPdRll1DUbCfB2v/uR66bGUVTbwssbTvDHb44R4qPl0rFRzh7WoMIuSmnbl3jC/WyilA5wneZQ4kosGPSU1csXo4gA11GLBedT2ajn1nf3UlqvIznclxW3T8W7g5OuK/GR1SU1f0S4EDsEAoHABTBZnVJClBL0lisnxADw7aFiLLae7Fa8tPL3y5Gi1Dp7170IlMLp1yuOl8kuqbhgL3w8Op9T7nRwnpSN0dH+pET6YTBb+O5IsUOP3Z88vHAYN06LR5Lg4U8PsfOcJjOCvqXFaALaL9+DM7lS5fWuFXYursSCQU+pNTcm0oUsjILWNOiM3L5iL6cqm4gJ9OKju6YR7OMeuTsNOiOr9xcCIuBcIBAIXAWzVTxwpaBXgXsyPyUcPw81RbUtpOXXtHrNVkajc1D5niRJdlFqkSjd6zUZJfUApER23hG5XmfkaGEtAKkOFqUUCoW9Yc8XBwodeuz+RKFQ8OxVY7h4dCQGs4V7P0rjWFGds4c1aDjjlOpIlJLvd12tA58QpQSDnrIGWZQK9/dw8kgEbaEzmrnnw/0cK6onxEfLR3dNIyrAy9nD6jKf7S+kUW8iOdyXOcPDnD0cgUAgEABma+9soUkJeounRsViawOTrw8WtXrNJko5yil1tKiO0nodPlqVw4WRwUi6VTAZE915GdPeU9VYJEgM9SE60PHz0CsnxKBSKjiYX8vJikaHH7+/UCkV/PuGCcxICqZRb+L2FXvJq2xy9rAGBc36joPO4cz9bnlD3zXz6QlClBIMesqEU8plMZktPPTJQXafqsbXQ837d0wjyY1aH5stEu/vzAXgjgsS3CKQXSAQCAYDkiScUgLHceWEaADWHC3BYLLYn7c1tNAZLW3u111+TpddUnNGhIlmGQ7gWLFVlIrp3Cl1Jk+qb8TAMD8P++LlF2nu65YC+Xv/1q1TGBnlT2WjgVvf2+tyIshApKbZAEBQB12cRfmeQOCiVDbKv8BhfsIp5UpIksRTXx7l54wytGolb986hbGxrhPI1xXWZ5ZRUN1CoLeGaybGOns4AoFAILBizTkXiwUChzBzaCihvh7UNhvZnlNhf95WRuMop9SZ0r1IhxxvMNNiMJNTLjuSxsR0Pr/ceVLOR3J0ntTZnF3CZz4nn8zd8PfU8MGdU4kP9ia/upnb3ttHvc7o7GENaLoiSoWJ8j2BwDWxnSBF5z3XQZIknvsxi9VphSgV8OqNE93Spv7udtklddO0+A7ruwUCgUDQv1hE+Z7AgaiUCi4fL3ca+/rgmaBqT7XjRKm8yiayyxpQKxXMGxHe6+MNdrJK67FIEOrrYXePtEdVo56s0gYAZiT13Xx0wchwgrw1lNXr2XqiovMdXJxwP08+umsaob5aMkvqueeD/egcGPovOIPFIlHTLN/Thvh24JSylu9VCFFKIHAt6lvkX2B/TyFKuQovbzjBW1tPAfD3peNYPNr9VgSPFdWxN7catVIhAs4FAoHAxRDlewJHY+vCty6jjCa93AXLtiDliKDztemlgFw+FuAt5qy95VixHHI+Jsa/U8fk7lPVAKRE+hHq23eVFR5qFVdNlL9Hq/cX9Nn79CdDQnx4/45p+Hqo2ZNbzcOfHnJ7F5grUq8z2v+/BnZwfgizfn8rG/X266ArIEQpwaCnXidPHPyFU8oleHPLSf69/gQAf7hsFNdNiXPyiHrGeztkl9SlY6PcKphdIBC4F9XV1Sxbtgx/f38CAwO56667aGzsOCRXp9OxfPlyQkJC8PX1ZenSpZSVlbXaJj8/nyVLluDt7U14eDiPP/44JpOp1TabN29m0qRJeHh4kJyczPvvv9/ue/79739HoVDw8MMP9/SjOhTb5F2U7wkcxfjYABJCvGkxmlmfKf8+eTow6PzHY7IodfEY91uoc0W6E3JuK93rD9f+LybL8951GWVUNxn6/P36gzExAbx162S0KiVr00v5/dfHXEoQGQjYviu+Hmo81O1XZ9hcVHqThSYHdQV1BEKUEgx67E4pL7WTRyJYsSOXv/+YBcDji0dw16xEJ4+oZ5Q36PjusGzfv9NNP4NAIHAPli1bRnp6OuvWreP7779n69at3HvvvR3u88gjj/Ddd9+xevVqtmzZQnFxMddcc439dbPZzJIlSzAYDOzcuZMPPviA999/nz/+8Y/2bXJzc1myZAnz5s3j0KFDPPzww9x999389NNP573fvn37+O9//8u4ceMc98F7iW2hXiVEKYGDUCgUXGF1S9m68Dmq+15xbQuHC2pRKOCiURG9G6gA6F7I+S5byHkflu7ZGBXtz9iYAIxm6bxuju7MzKGh/PuGCSgU8MnefP71c7azhzSgsGUkB/u0X7oH4K1V289LVY2uU8InRCnBoKfB6pTyE+V7TmXVnnz+/F0GAA/NT2b5vGQnj6jnfLAzD6NZYlJ8IBPiAp09HIFAMEDJzMxk7dq1vPPOO0yfPp1Zs2bx6quv8umnn1JcXNzmPnV1dbz77ru8+OKLzJ8/n8mTJ7NixQp27tzJ7t27Afj555/JyMjg448/ZsKECVxyySU888wzvPbaaxgM8sT3zTffJDExkRdeeIGRI0fy4IMPcu211/LSSy+1er/GxkaWLVvG22+/TVBQUKefSa/XU19f3+rRF4hMKUFfYOvCt/VEJVWNery08q1WSy8dCT9ZS/emDAki3E90i+4tBpOFbGtG1OhOnFJFtS2cqmxCqYAZ/ZRvet0UOfD8s/0FA8pRdOnYKJ69agwAr206yX+3nHTyiAYOJXUtAEQHdn5+sLmlqlzIiSdEKcGgRpIkDNYWPJ5q8evgLL48UMjvvj4KwL0XJvHIRcOdPKKe06Az8uGu0wD835yhTh6NQCAYyOzatYvAwECmTJlif27hwoUolUr27NnT5j5paWkYjUYWLlxofy4lJYX4+Hh27dplP+7YsWOJiDjjyFi8eDH19fWkp6fbtzn7GLZtbMewsXz5cpYsWXLetu3x3HPPERAQYH/ExfVNCbddlBKqlMCBDA3zZWxMAGaLxJqjJXZHQm/DndfaS/eiej1GgRxybjRLBHpriA3qOGJhuzVwfHxcYL/lz14xPgatWklWaQPHivpGmHcWy6YP4TcXpwDw3I9ZrNxz2skjGhgU1dpEqc4jQ0KsbqqqRiFKCQQugdF8ZvVBrRS/Ds7g+yPF/Hr1YSQJbksdwlOXpLh1xseqPfk06EwMDfPhopHCYi8QCPqO0tJSwsNbd+FSq9UEBwdTWlra7j5arZbAwMBWz0dERNj3KS0tbSVI2V63vdbRNvX19bS0yJPjTz/9lAMHDvDcc891+TM99dRT1NXV2R8FBX0T9msr31O68fVG4JpcbQ2q/iKt0CGZUpWNevblyUHbi0eLeYUjOJhfC8CEuMBO55zbc+TSvdnJoX09LDsB3houtjb5+WyABJ6fzf1zh/LAXHnh9vdfH+ObQwOnTNFZFNXI193YrohS1rDz6iZRvicQuAQmi8X+Z7VKTEz7m7XHSnn400NYJLhhahx/uny0WwtSepOZd7fLAef/N2eoWIEXCAQ94sknn0ShUHT4yMrKcvYwO6SgoIBf/epXrFy5Ek/PrpcbeXh44O/v3+rRF9iCzsVpWuBorpwQjVqp4HBhHYXWG8XelO+tyyjDIsHYmABig7wdNcxBzcH8GgAmxnVcUmyxSOzIkUPOZw0L6/NxnY2t0c83h4p67bRzRR5fPIJbZgxBkuDRzw6zPqOs850E7VLcDaeULXeqUjilBALXwHRWS1IhSvUva46UsHzVAUwWiasnxvDXq8e6vYjz1YEiyhv0RPp7cpU17FQgEAi6y2OPPUZmZmaHj6SkJCIjIykvL2+1r8lkorq6msjItjt0RUZGYjAYqK2tbfV8WVmZfZ/IyMjzuvHZ/t7ZNv7+/nh5eZGWlkZ5eTmTJk1CrVajVqvZsmULr7zyCmq1GrPZuTdZtpwWlZtfdwSuR4ivB/NSZAfjmqMlQO+cUmtF1z2Hc7CgFoCJ8YEdbpdRUk91kwEfrarTbR3NzKEhxAR6Ua8z2TPFBhIKhYI/XzGaqyfGYLZIPLDqgL3LoaD7dKt8z5op5UrdHYUoJRjUmET5nlP49nAxD316ELNF4pqJMfzrF+Pd/sbAbJH479ZTANw9OxGtyCgTCAQ9JCwsjJSUlA4fWq2W1NRUamtrSUtLs++7ceNGLBYL06dPb/PYkydPRqPRsGHDBvtz2dnZ5Ofnk5qaCkBqaipHjx5tJXitW7cOf39/Ro0aZd/m7GPYtrEdY8GCBRw9epRDhw7ZH1OmTGHZsmUcOnQIlar9ltX9gTVO0q3duQLXZekkOai6okEuj+mp06WuxWi/UReilGOobjJwuqoZkHOiOmK71SU1PSkEjap/53VKpYJrJ8vfo9X7C/v1vfsLpVLBP68dx0WjIjCYLNzzwX67i03QdcwWiTzrd3pISOduylAfuXxPdN8TCFyEs3UQywDqbuHKfH2wiIetgtS1k2P55wAQpEDujJNb2USAl4Ybp8U7ezgCgWAQMHLkSC6++GLuuece9u7dy44dO3jwwQe54YYbiI6Wu4AVFRWRkpLC3r17AQgICOCuu+7i0UcfZdOmTaSlpXHHHXeQmprKjBkzAFi0aBGjRo3illtu4fDhw/z000/8/ve/Z/ny5Xh4yJPZ++67j1OnTvHEE0+QlZXF66+/zmeffcYjjzwCgJ+fH2PGjGn18PHxISQkhDFjxjjh/1ZrbNd8lRClBH3A/JRwgrzPhGL31Cm1MasMo1liWLgvQ8N8HTW8Qc2hAln0GBrmQ4BXx8Hl9tK9fsyTOhubKLXjZCUF1c1OGUNfo1YpefXGiVyQHEKTwcztK/bZOyMKukZBdTMGkwUPtbJLJb628j3RfU8gcBHOdrMYTJYOthQ4gs/TCnnkMzlD6vopcTy/dNyAEKQkSeKNzXJb29tmJuDjoXbyiAQCwWBh5cqVpKSksGDBAi699FJmzZrFW2+9ZX/daDSSnZ1Nc/OZG5qXXnqJyy67jKVLl3LhhRcSGRnJl19+aX9dpVLx/fffo1KpSE1N5eabb+bWW2/lL3/5i32bxMRE1qxZw7p16xg/fjwvvPAC77zzDosXL+6fD95L7N333P8SJHBBtGolV55Vxt/TTClb6d4lwiXlMGwh5xPjO86T0hnN7M2VA+ZnD3OOKBUX7M0FySFIEnxxYGC6pQA8NSreumUKE+MDqWsxcvO7e8irbHL2sNyGnPJGQO7+2ZX7Klv5nit13xN3ToJBjfYsK67RLESpvuSzfQX85ssjSBLcOC2ev141xu0zpGxszq7gaFEdXhoVt89McPZwBALBICI4OJhVq1a1+3pCQoI9P8mGp6cnr732Gq+99lq7+w0ZMoQffvihw/eeO3cuBw8e7PJYN2/e3OVt+xqbKCXK9wR9xbWTY3l/Zx4A5fXdL5NpNpjYcrwCgMVClHIYZ0SpwA63259Xg95kIcLfg+Rw57nUrpsSx46cKlbvL+Sh+cMGzNz5XHw81Lx/+zSuf2sXWaUNLHtnD5/dl0pMFzKSBjs5FbIo1dXvaYitfE903xMIXAOVUoFtPiqcUn3H+ztyeeILWZC6ZcaQASVISZLES+uPA3Br6hC7JVYgEAgEroutz8lAcOsKXJPR0f72OWaD3tTt/bdkV6AzWogL9mJUVN90oRxsmC0Sh2wh55103tuWIwuCFySHOlW8Xjw6En9PNUW1Lew8WeW0cfQHAd4aPrprOomhPhTVtnDT27sprdM5e1guz4mybopSZwWdn7to5SzcRpSqrq5m2bJl+Pv7ExgYyF133UVjY2OH++h0OpYvX05ISAi+vr4sXbq0VaeYw4cPc+ONNxIXF4eXlxcjR47k5Zdf7uuPInAhFAqF3S2lF6KUw5EkiVc2nODp7zIAuOOCBP5y5egBI0gBbMou50ih7JK658IkZw9HIBAIBF3A7pRy8jgEAxeFQsFtqQk93n9tuq10L0o4+hzEyYpGGvUmvDQqhkd0fANvy5NyVumeDU+Nyl4K+tn+AqeOpT8I8/Ng5d3TiQv24nRVMze9vZvyBiFMdUR6cR0AKZF+XdretoBuNEvU67ovmPcFbiNKLVu2jPT0dNatW8f333/P1q1buffeezvc55FHHuG7775j9erVbNmyheLiYq655hr762lpaYSHh/Pxxx+Tnp7O7373O5566in+85//9PXHEbgQfp5yyGG9zujkkQwsLBaJZ77P5MV1sovo4YXD+ONlowbUxEqSJP69/gQgu6RCfT2cPCKBQCAQCASuwk3TzzQ+OV7W9fBmvcnMxky5++Xi0aJ0z1GknZZDzsfFBqDuoJtedZOB9OJ6QHZKOZvrpsQBslBZ1zzw71eiA71YdfcMYgK9OFXZxLK397hUpzhXoklvsp9bJnTSTdKGp0aFrzX/ttpFws7dQpTKzMxk7dq1vPPOO0yfPp1Zs2bx6quv8umnn1JcXNzmPnV1dbz77ru8+OKLzJ8/n8mTJ7NixQp27tzJ7t27Abjzzjt5+eWXmTNnDklJSdx8883ccccdrcI+BQMfW3eUwXCS7y9MZgtPfHGE93bkAvDHy0bx8MLhA0qQAtiYdcYlda9wSQkEAoHboBAeKUE/cHZ79g+s+VJdYWdOFQ16ExH+Hkzs4o2moHNsweXTE4M73G5HTiWSBCMi/Aj38+yPoXXImBh/UiL9MJgsfHO4yNnD6Rfigr1Zdc90Iv09OVHeyLJ39lDjIgKKK3GsqA6LBJH+noT7d/27eibs3DXEPrcQpXbt2kVgYCBTpkyxP7dw4UKUSiV79uxpc5+0tDSMRiMLFy60P5eSkkJ8fDy7du1q973q6uoIDu74RKXX66mvr2/1ELgvgVZRqrZFiFKOQGc088DKA3yeVohKqeCFX4znzlmJzh6Ww2nlkpo5hBDhkhIIBAK3wzXSNAQDFQ+1yv7nlXvyu9xUx9Z1b/HoyAEVeeBsbKLU1E5Eqe0n5NK9WU4u3bOhUCi4fqrsllq1J99lcoD6miEhPqy6Zzphfh5klTZw87t7hIngHA4X1gIwPi6gW/vZSviqXETocwtRqrS0lPDw8FbPqdVqgoODKS0tbXcfrVZLYGBgq+cjIiLa3Wfnzp3873//67Qs8LnnniMgIMD+iIuL6/qHEbgcgd7yL2VNs2v8Urozdc1Gbl+xl58zytCqlbyxbBJLJ8c6e1h9wrqMMo4W1eGtVXHvbOGSEggEAnfCZtwdJPd2AifirT0jTG3MKu90e5PZws8Z8r3KxaJ0z2EU1jRTVNuCSqlgUnz7IeeSJLE9x7VEKYCrJ8agVSvJKm3gcGGds4fTbySF+fLJPdMJ8dGSXlzPre/tEZErZ2HrJjkuNrBb+wV6WSuFXMSU4VRR6sknn0ShUHT4yMrK6pexHDt2jCuvvJI//elPLFq0qMNtn3rqKerq6uyPgoKBHzo3kLGV71U3ClGqNxTWNHPtmzvZfaoaXw81798+lUUDdDJltkj886dsAG6bmSBcUgKBQOBm2LwnkvBKCfoY280fwKd78zvdfm9uNTXNRoK8NUzrxNEj6Dr78mSX1JiYAHyseTptkVcli1calaLTMr/+JNBby5KxUUDXvkcDieRwP1beM50gbw2HC+u47b29QphCzu/ddUruyDgjqXvfVZspw1WcZ04VpR577DEyMzM7fCQlJREZGUl5eeuVBZPJRHV1NZGRbd/0RkZGYjAYqK2tbfV8WVnZeftkZGSwYMEC7r33Xn7/+993Om4PDw/8/f1bPQTuS2SAFwDFouVojzlWVMc1r+/kRHkjkf6erL4vlZkuEAzZV3xxoJAT5Y0EeGm4b85QZw9HIBAIBN1kgEUcClyYswWQLccrKKpt6XD7NUdLAFg0KrLDMG5B9+hqntT2ExUATIoPwlvbvnjlDG6wlvB9e7iYRr1rdE3rL1Ii/fn47ukEeGk4mF/LLe+IUr6Mknpqm434aFXddkoFeNnia1zDlOHUM11YWBgpKSkdPrRaLampqdTW1pKWlmbfd+PGjVgsFqZPn97msSdPnoxGo2HDhg3257Kzs8nPzyc1NdX+XHp6OvPmzeO2227jr3/9a999WIHLEhsoi1KdTRIEbbM5u5zr/7uL8gY9KZF+fLV8JiOjBq5QqzOaecnaUfDBecn2k7pAIBAI3A9Rvifoa7zPEqUsEny2r/0KC5PZYs+TWjIuqs/HNpiw50kldCxKbbPmSc12odI9G9MSg0kK86HZYObbQ203+xrIjI4OYNVZjqmb3tk9qMPPd1jLTKcnhaDppoBtz1R2EWHPLeT3kSNHcvHFF3PPPfewd+9eduzYwYMPPsgNN9xAdHQ0AEVFRaSkpLB3714AAgICuOuuu3j00UfZtGkTaWlp3HHHHaSmpjJjxgxALtmbN28eixYt4tFHH6W0tJTS0lIqKiqc9lkF/U9MkNUpJUSpbvO/ffnc9cF+mgxmLkgO4bP7UomyOs8GKh/szKOkTkd0gCe3pA5x9nAEAoFA0ANE9z1Bf+FjzZRakCLn467eX4DZ0rYauie3mqomA0HeGlKHhvTbGAc6lY16TlY0ATA1of08KZPZYi+HmjUsrF/G1h0UCgU3To0H4JNBVsJnY3R0AJ/cO8OeMXXj27updJEOcv2NLfvsgh5UpwR6uVajL7cQpQBWrlxJSkoKCxYs4NJLL2XWrFm89dZb9teNRiPZ2dk0Nzfbn3vppZe47LLLWLp0KRdeeCGRkZF8+eWX9tc///xzKioq+Pjjj4mKirI/pk6d2q+fTeBcYmxOqZqWQdPNoreYzBae+T6D33xxFLNF4ppJMay4fRr+ngPbNVTXbOS1TTkAPLpoBJ4aVSd7CAQCgcAVORN0Lq77gr7FVr43a1gogd4aiut0bD3e9gK4rXRv8ejIbjsfBO2zz+qSSon0s2fptMWRojoadCb8PdWMjeleN7P+YunkWLQqJUeL6jhWNHgCz88mJdKfT++dYe/Kd+NbuylvGFwxLHUtRnZbBdQ5w7svoIpMqR4SHBzMqlWraGhooK6ujvfeew9fX1/76wkJCUiSxNy5c+3PeXp68tprr1FdXU1TUxNffvllqzypp59+GkmSznvk/T979x0eVZn9Afw7JTOpk55MOglJCDVAEAhFQCKgICjYEAuKIggWdBXdXcVdf659XXtDBRVE2UUREJReQw81JJRU0gvpmX5/f0xmIAqBwMzcmeT7eZ48u87cO3PuS8rMmXPOm5fnwCsjsYX7eUAmlaBZb0RZXefMtLdHbbMeDy3ejy935AIAnhydgHfuSIZC7jK/Tq7ax1tPo05jQLdQH9zWL0LscIiI6CqdH3ROZF+WSimjScDkfuYdiS9W5cLWPfvZ2zLk/HKD4y3JwiFdgyCTOmc1ZYCXAmN6hgLovNVSAJAQ6oMfZg6GWuWOU+UNuPuz3SjtRPOBN2eVQ28UkBDijfgQ78uf8Ae+npwpReRUFHIpYoO8AAAny+pFjsa5nalowG0f7cS2kxXwcJPh42n9Me/GREg6wcTYgqomfL0jDwDw3LhuTvtihYiIrkAn+LtFzsEyU6pBa8DUgeZB1RuzylFe1/oN9O6calRbWvfi2LpnS7tzrmyelCUpNbKb87XuXeiegeYWvpWHitGk61wDzy8UF+yNHx4djAg/D+RUNuL2T3cht7JR7LAcYu0xc1XluF5Xt9O5tX2PlVJEzqNbqA8AJqXasvVkBW79aCdyKhsR4eeB/85Oxc29O88nef+3JhM6ownDE4JwQ8tcCCIicm3s3iN7s1RKNemMSAj1QUqMP4wmAcsPnG11nKV1b1wv7rpnS5UNWpwoqQMADGljTldNkw6HCmsAANdfRTuUIw2OC0RMoCcatAasPlwidjiiign0wrKZg9El0BNnzzXjjk93dfi2xjqNHltbEqhje15lUorte0TOJ7ElKZVdyqTUH5lMAt7feArTv96Leo0BA2L8sXLuUPQMd85ee3vYcaoSv2eWQSaV4KUJPTpFZRgRUUd2vn2PWSmyL8tMqUatuaJl6sDzg6otA8/NrXvm5ML43uEiRNlx7TpjnrvTPUyFQG/lJY/bcboSJgFICPFGuJ9zb9ojlUpwt2Xg+b7O28JnERXgieWzzLt/VzboMPXz3djTMm+pI/rlUDE0ehMSQrzRM/zqdjy3VErVaw3QG022DO+qMClFBKCb2tyLe6K0TuRInMu5Rh0eXLQP/15/EoIATB0YhSWPDEJQG3/UOxqD0YR/rDoOALhvcAwSWhKYRETkus4POhc3Dur4vBStk1Lje4fB18MNZ881Y0t2OQAgPacK55r0CPBSYHBc2y1m1D47T5l3KBsW33ZL5NZsc+XJ1QyNFsPtKZGQSyXIKKhBFt+/INhHiR8eHYyBsQGo1xpw/1d7sSGzTOyw7OLH/YUAgLuui7rqD8pVHuc3p6pzgh34mJQiAECTzuA05Xti6B3pBwA4UVLfqXuzL3SosAYTPtiBrScroJRL8fYdyXhtch8o5Z1rx7nvdufjVHkD/D3dMC8tUexwiIjIBiRgxSs5hqfS/LqpUWcEAHgoZLhzgHng+eL0fADArxfsusfWPdsRBAE7TpuTUkPjg9o8btuplqSUk8+Tsgj2USKtu3ng+bK9hSJH4xxU7m745qGBSOseAq3BhEe/O4BlHWwY/LGiWhw5Wws3meSaNl2SSSVQuZsT5jVMSpEz0BtNeGzJQdzx2S6U1DaLHY4own3dEapSwmgScORsx+5DvhxBEPBNeh7u+HQXimqa0SXQEz/PGYrbUyLFDs3hqhq0eHfDKQDAX8Z2s+5UQUREHQMLpcjevFva9y780PPewTGQSMyDtU+X11t33ZvAXfdsqqC6CUU1zXCTSdrceS+7rB5ldVq4u0kvOwzdmUwdZG7hW3HwLDR6o8jROAd3Nxk+vTcFU/pHwmgS8PyKo3hjXRZMpo7x2/6L7TkAzAnsttpRr4RlrpQzDDtnUopQWqvBiZI6nCxrwJSPd+F0eeebqySRSJAS4w8AOFhwTuRoxFPZoMXDi/fjpZXHoTcKGNdTjV8eH4buYVfXr+zq/m/NCdQ269EjTGXt3SciItfH9j1yFE+FZfe980mDmEAvjGxpE3tsyUGca9Ij0EuBQW0kTqj9LFVS/aL9rf8OF2Np3UuNC4S7m+t0BAyPD0KEnwfqNAZrtR0BcpkUb9/RB0+OTgAAfLLlDB7/PsPlE3eF1U1YfcT87zxrRNdrfjy/lg/ba5t11/xY14pJKUJUgCf+N3sI4oK9UFyrwe2fpuNAfudLzPSPNiel9ud1vmsHgC3Z5Rj3n+3YmFUOhUyKlyb0wCf39ofKvXNWB+04VYmfMoogkQD/mtwbMilbPYiIOorzv9GZlSL7su6+p209HuL+IV0AACfLGgAAY7nrns3tPG2ZJ3Xp1j0A1p3MnH3XvT8yDzyPAgAs3dOx2tSulUQiwbwbE/HvO5PhJpNgzdESTP1iNyobtGKHdtU+35YDo0nAsPgg9Iq49g2nfFvmSp1rZKUUOYlIf0/8d9YQ9I3yQ02THtMW7sbaTpZxHxRrHoC4J6cKOoP4uxA4ikZvxD9WHcf0r/ehskGLxFBvrJw7FA8Ni+20u8xp9Eb87eejAIAHUrugb5SfuAEREZFNSVs+aDB1nj/3JBIva/te6yqNEQnBiLhgl7cJvdm6Z0tGk2Ddea+teVKNWgP25VUDcJ0h5xe687ooyKQS7M8/hxMlHHj+R5P7R+LbGYPg6+GGjIIaTPpwJ46crRE7rHbLqWjA9y3zsR4bde1VUsD5pFQtZ0qRMwnwUmDpI4MwqlswNHoTZi85iHfXn+wwPbiX0zNchUAvBRp1xk7Twne4sAYTP9yBr3fmAQAeSI3BL3M7b7uexYebTiO/qglqlTueGcPh5kREHY28JSll6CSvcUg8Xi2Dzhv+UCkllUrQNcTb+t9tzTyi9sssrkNNkx7eSjmSIy9dVZJ+pgp6o4CoAA/EBnk5MELbCFW5Y2xP88Dz73bnixyNcxocF4gVjw1BbJAXimqacfun6fhxn2sNh39jXRYMJgGjugVjSNe2K/+ulI+7pbVY/E2+mJSiVjwVcnxx/wDMGBYLAHhv4ynMXnLAuo1tRyaVSqxlu5Yy3o5Kozfi9bVZuO3jnThZ1oAgbwW+nn4d/jGpl0v10tvDybJ6fLbtDADg5Yk94dNJ2xeJiDoyS0u2kaVSZGeWWUYX293Zw+38W7GMwhpHhdQpWHbTGxwX2GZbpOU1/4jEYJftELh3UAwA4OeMIqdIMDijrsHmTpC07qHQGUx47n9H8NefjkJrcP45U1tPVuC342WQSoAXbu5us8e1vMdxhu8ZJqXoT+QyKV6c0ANv3d4HCpkUvx0vw60f7UR2accfgG4p292S3XGTUgfyq3Hz+9vx6dYzMAnAxORw/D5vBEYlhYgdmugMRhP+svww9EYBad1DrZ88ERFRx8JKKXIUr5aklN4otHoDrDUYre1lALBoV56jQ+vQNmeVAwBGJbXdkmdJXo1IdN3XwaldAxEX7IVGnRE/ZRSJHY7TUrm74fP7UvDMjYmQSMxzuG7/JB05FQ1ih3ZJ9Ro9nv/fEQDA/aldkBjqY7PHtuwMWq9h+x45sTsGROH7mYMR7KPEqfIGTPxwB77fWwChA29VMzwhCFIJcKKkDvlVjWKHY1N1Gj1e/uU4bv80HTkVjQjxUeLz+1Lw/tR+CPBSiB2eU/hkyxkcOVsLXw83vHpbL5f9xIyIiNoma6mcMDIpRXZmad8DgMYLduDbkl2Bes35CoV1x0pRXNPs0Ng6qpomnXUUx8hul0425VU2Ir+qCW4yCVK7BjoqPJuTSCTWaqnv0vM79Hu1ayWVSvD46AR8Nf06+Hq44WhRLSZ8sAM/7it0unUTBAH/WJWJkloNogM88dy4bjZ9fEv73oW/h8TCpBS1KSXGH2ufHI7rE4OhNZjwwoqjePz7DKcYiGYPgd5Ka5+uZctNVycIAlYcPIsb3t6KRbvyIAjAHSmRWD9vBMb0VIsdntM4XlyL9zaeAgD8Y2JPhKrcRY6IiIjshZVS5ChymRSeLTvwXViR8MvhYgDAI8NjMTguAEaTgMWslrKJbacqYRKAbqE+rYbJ/5GldS8lxt9aNeKqpqREwt1NiuyyeuzvhLuot9eobiFY99RwpMYFoklnxHP/O4I5Sw+iyol251u6twD/PXAWUgnw5u19rK3AtmL5nmf7HrmEIG8lFk2/Di/clAS5VILVR0ow5t2t2JRVJnZodjGhj3n3k46QlMoqrcNdn+3G0z8eRmWDFnHBXvhuxiC8dUcyfD05K8lCazDimR8Pw2ASMK6nGpP6hosdEhER2dH5mVJMSpH9/bEioUFrwIZM8+voickReGR4HADzm1BneIPo6ra0tO6NvEzr3vl5Uq7bumfh6+GGicnm168ceH5lwnw98N3DgzB/nPk97q9HS5H2761YcfCs6FVT6Weq8PIvxwEAz45NwuA421fyWWZKsVKKXIZUKsGjI7pi+axUxAZ5oaxOi4cW7cczPx5GbVPHqpoa10sNuVSCEyV1OF3uvD3Gbals0OKllccw/v0d2JtXDQ83GZ4b1w3rnrwewxJss2NDR/LehlPIKq1HgJcC/8e2PSKiDo+VUuRI52e3mN/8rc8shdZgQlyQF3pFqDCqWwjigr1QrzG43K5gzsZkErClJdk0qo3WPa3BiPSWmV6WmbKu7r7BXQAAvx4tQaUTVfw4M5lUgtkju+Knx4YiSe2Dc016PP3jYdz/1V7kVYozyiWj4BweXrwPeqOAm3urMWtEnF2ex7r7HpNS5Gr6Rfvj1yeG45HhsZBIgP8dPIu0d7di5aEi0TPKtuLnqbD+cVq+37VeGDTrjPhw0ymMfGsLvknPh7Gl8mfDMyPw2Mh4KOT8kf+jXWcq8clW8257r97aC0HeSpEjIiIie+Pue+RI5ysSzB/krjxkbt27JTkcEokEUqnEuvP1VztzWcF3DY4U1aK6UQcfpRwpMf6XPG5/3jk0640I9lGie5jthkeLqXekL5IjfaE3CvjRxd7DiK13pC9WPT4Mz47tBoVciu2nKnHju1vxz1WZqGnSOSyOrScrcN+Xe9GoM2JofCD+fWdfu31YzkHn5NI8FDL8bXwP/HdWKuKCvVBRr8WTyw7hrs9240RJndjh2cTdA6MBAMsPnHWJrUINRhN+3F+IUW9vwdu/n0SD1oBeESosfXgQPr0vpc1++s6sqkGLp5YdgiAAd18XhZt6h4kdEhEROYBcan4JbDDyzT/Z34Xte1UNWmw/VQkAmHjBuIDJ/SLh7+mGs+ea8dvxUlHi7Agsu+4NTwyCm+zSb3XPt+4Fd6gK+WmDzQPPl+4pYHKzndxkUswZFY91Tw7HyG7B0BsFfLUzFyPe2oKPt5y2a/JGEAR8vTMXDy3ahwatAalxgfj8vgFwd5Nd/uSrZP295AQtw0xK0VVLiQnA2ieH49mx3eDuJsXevGqMf387Xlp5DBX1rl0yOqpbMNQqd1Q36vD7ceednWUwmvDfA2dx47vb8Nx/j6C0ToMIPw+8d3df/DJnGIbEs1XvUkwmAc8sP4zyei3iQ7yx4JaeYodEREQOwplS5Ejnk1J6/HqsFEaTgF4RKnQN9rYe46GQ4d6WhMLC7TmixNkRbMlumSfVRuseAGxqSV51lNY9i1v6hMPXw5zc3HqyXOxwXFJcsDcWPTgQ3zw0EElqH9Q26/HmumwMfX0T3vk9G+V1Gps+X2F1Ex74eh/+sSoTRpOAyf0isPihgfCy8/B9b/fzg87F7nhiUoquiVIuw5xR8dj4zEiM7x0GkwB8k56PEW9txju/Z6POCcoBr4ZcJsVd10UBAL5Nd75hgfqWyqjR/96Kvyw/jNzKRvh7uuGvNydh4zMjMKlvBKTSjvOpjz18tTMXW7IroJRL8eE9/eChsN8nEURE5Fw4U4ocyUdpbt9r0BqwqqV1b1JyxJ+Ouy81BgqZFAcLanCAO6i1W1mdBofP1gIARraRbCqsbsLp8gbIpBJc38GSUh4KGW5PiQQAfLe7QORoXNv1icFY88RwvHNHMroGe6FOY8AHm04j9fVNmPnNfmw8UXZNHTXFNc34v9WZGP3OVmw7aX5P8o+JPfHOnckOGbmiamkrFgSgUSduZ5Br731JTiPCzwMfTeuPaWcq8cbaLBw+W4sPNp3Gt7vzMWtEV9w7OMbltlqdOjAaH285jb151ThYcA79oy/dl+4o9Ro9fthXiEW78nD2XDMAIMBLgUeGx+H+1Bi7Z9Q7igP51XhjXRYA4MUJPZCkVokcEREROZJMxkopchxLpVR2WQP25lVDIgEmJP95ZECIjzsm9Q3H8gNn8cW2HKTcl+LoUF3a7y07GvaN8kOIyv2Sx1mqpFJi/OHr0fF2o542KBpf7sjF5uxyFFY3ISrAU+yQXJZMKsGUlEjc1i8Cvx0vxRfbc3CwoAa/Z5bh98wyeCvlGJEYjGEJQegX7YeEEB9rJe4fCYKAkloNtp+qwPrMMmzKKoflT9Cw+CC8PLEH4kMcN99MKZdCLpXAYBLQoDGI+l6d72DJpoZ0DcLPc4bit+OlePv3kzhd3oDX12bh482ncX9qF0wf2sVlBkmrfd1xW78I/Lj/LD7dcgaf3z9AtFgKq5uwaFcefthXaN0qONBLgZnXx+HewUxGtUdZnQazvjsIvVHA+N5hmDYoWuyQiIjIwVgpRY5kGXS+6rC5SmpglwCE+V583ucj18dh+YGz+C2zFKfLGxAf4n3R4+jPfm+ZxTW2p7rN4yxJqRuS2m7xc1Vxwd4YFh+EHacrsXRvAeaPSxI7JJcnlUpwU+8w3NQ7DCfL6vH93gKsOVKC8not1hwtwZqjJQDMiZ5Ifw9E+HvCSyGDQi5Fo9aIc0065FQ04Nwfdq1PjQvEoyPiRJltJpFI4OMux7kmPRq0egCXTuTaG9/Jks1JJBKM6xWGtO6h+PlQMT7echo5FY34cPNpfLE9B7enROL+1C7opnb+nS5mXt8Vyw+cxe+ZZThdXu/Q7LXRJGDryXJ8v7cQG0+UWTPpXYO9MGNYHCb3j7Dr8LuOSGcwYfZ3B1BRr0ViqDfevL1PhxpuSUREV4a775EjWWa3WFw44PyPEkN9cGOPUKzPLMOnW8/g7TuS7R1eh1DbrEf6mSoAwNieoZc8rklnQHqO+biOmpQCgHsHR2PH6Ur8sK8QT45O4HsGG0oM9cGCW3rixfE9cKSoFhtPlOFA/jkcLqxBo86IMxWNOFPReNFzpRKgd4QvRiWFYHzvMCSEivt+2LslKVWnEXfYOZNSZDdymRS3p0Ricr8I/J5Zhk+2nMbhs7VYsqcAS/YUYGCXAEwbHI1xvdRQyp3zF2V8iDfG9AjFb8fL8O6GU/jonv52f86z55rw4/6zWL6/ECW15wfpDYsPwozhsRiREMx5UVfpH6uO42BBDVTucnx+3wBWmBERdVLW3fdYKUUO4HNBUkouleDmXm3v9jtnVDzWZ5bh54wiPJWWgEh/tl9dzuaschhMAhJCvBEXfOnqsl2nq6AzmBDh54GEDlyFltY9FOG+7iiu1WD1kRLrnCmyHalUgr5Rfugb5QfAXFBQWN2EoppmFNc0Q6M3QmswwUMhg7+nAlH+nkgI9XaqBKG30g1AM+qZlKKOTiqVYFwvNcb2DEV6ThW+2ZWP9SfKsDevGnvzqhHgpcAtfcIwsW8E+kf7OV3lylNpifg9swxrjpRg1vW16B3pa/PnqKjXYu2xEqw6XIx9eecHW/p5umFyv0jcPTAKiSJn0l3dkj35WLKnABIJ8N7d/dAlyEvskIiISCTcfY8cSXVBUur6xGD4eynaPL5vlJ+1/eqLbTn4x6Re9g7R5f12pa172edb95ztPYctyWVSTBscg7d+y8biXXmY0j+iQ1+vM5BJJegS5OVS7zG8WjZ6atYxKUWdhEQiwZCuQRjSNQiltRos21eAZXsLUVqnweL0fCxOz0d0gCcm9Q3H2J5q9AxXOcUvz+5hKtzaNwI/ZRThjXVZ+O7hQTZ53KKaZmzOKsfaYyVIP1OFC18XD+kaiLsHRmNsz1CnrSJzJVuyy/HSyuMAgGduTMSoDlyuTUREl2eZKaU3sH2P7M9beX6Y9sTkS7fuXeixUV2x43Qllu0rxNwbEhDs4xozWcWg0RuxJbsCADCmjdY9QRCwuYPPk7rQ1IHReG/jKRwtqsXBgnNIiQkQOyRyMpbdx5v13H2POiG1rzueSkvE3FHx2HG6EisPFeO346UoqG7CB5tO44NNp6FWueOG7iFI6x6CIV2DRC11fPrGRKw+UowdpyuxObsco7q1/w+Z3mjCocIabMoqx+ascmSV1re6PznKD7f0CcP4PmGXHH5J7ZdZXIc5Sw7CaBIwpX8k5oyKFzskIiISmdLN3L6nM7JSiuwvu+z8a762kiYXSo0LRL9oP2QU1OCrnbkcVt2G7acq0aw3ItzXHb0jLt3RcKKkHiW1Gri7SZHaNdCBEYojwEuBScnm3RwX7cpnUor+xKPl/XWTjkkp6sTkMilGdgvByG4haNIZsOFEOVYfLsb2U5UordNg6Z4CLN1TAIVMir5RfhgUF4DBcYHoH+1vzew6QlSAJ6YP6YIvtudiwcrjSJ0XeNkkmUZvxKHCGuzNrcbe3GocyD/XKgstlQD9ov0xunsIJvQOR3Qg5wXYWkltMx5atA+NOiNS4wLx2uTeTlF9R0RE4lLIzEkprUHcF+LUOWzILLP+f0/Flb39kkgkmDMyHg9/sx/fpudj1vVd4evpdvkTO6G1LTufjempbvN13uaW1r2hIn/Y7UgPDOmC5QfOYu3REpSN745QlXg7rJHz8bS27zEpRQTA/Ed6YnI4JiaHQ6M3Ij2nChtPlGHjiXKU1GqsM6g+2HQacqkECaE+6BWuQq8IX/SK8EU3tQ+87Ti4+sm0RKw6XIKC6iZ8vPk0nh7TzXpfbbMeJ8vqcbyoFseK63C8uA6nyur/NEDV39MNwxOCcUNSCEZcwUwBuno1TTo8+PU+lNZpEB/ijU/vS4FCLhU7LCIicgLKljekOrbvkZ1ZXtNamEzCFW9Yc0NSCJLUPsgqrceiXXl4Mi3BXmG6LI3eiN9bkn4T+rQ9QH5TS+teZxrj0CvCFwO7BGBvXjWW7M5v9f6FyKMlSc5KKaKLcHeTYVS3EIzqFoJXJgnIq2rCnpwq7M6pwp7capTUanCipA4nSuqw/MBZ63nBPkrEBnqhS5AnYgK9oFa5I0SlRIiPO0J8lPD1cGv3znVGk4DqRh3K6zUYkRiMH/YX4v1Np7H1VCVkEiCvqgnVjbqLnhvso8Sg2ADzV1wg4oO9uXOeAzRoDZj+9T5kldYj2EeJr6dfB18PfrpIRERm5yulTBAEgVW0ZDeWRIhFo84AH/cre00ilUowZ1Q8Hv8+Awt35GD6kC6slvqDLdnlaNAaEO7rjv7R/pc87lyjDhkF5s2EOlNSCjBXS+3Nq8aSPQWYc0M859WSlaV9jzOliC5DIpEgNsgLsUFeuHtgNARBQHGtBseKaq2VSceKalFer0VFy9fevOpLPp6XQgZPpRzeSjk83GRo2RUaErQMPTWa0KQzoklnQKPWeMkf0sOFNa3+W61yR68IFXqE+6JXuAo9I3wR7uvOF7oOptEb8cji/ThUWAM/Tzd8N2MQogLYGklEROddWDmrNwpQyPm3muxjxcGzrf67XnPlSSkAGN87DB9uOo3ssnos3JGDZ1jp0sqqw+bWvVuSw9v84HfryQqYBCBJ7YMIv841u3VMz1CE+bqjpFaD1YdLMCUlUuyQyEmwfY/oKkkkEkT4eSDCz6PVtq91Gj3yKhuR2/JVUNWE8notyus1KK/XoqZJDwBo1BnRqDOiol7bjucEAr0UCPZxh8kkWAdWJoR44927+qJLkJddWwfpyuiNJsxdehDpOVXwUsiw+MGB6Kb2ETssIiJyMsoLklJag5Ht3WQXlQ1a665wFvWa9m29LpVKMO/GBMz67iC+2pGLh4bGcvxDiwatARuzzK17t1xmV8PO2Lpn4SaT4t7BMXjrt2ws2pWHyf0j+KE5ATi/+16Trn2/l2yN76Kpw1C5u6FPpB/6RPpd9H6twYi6ZgMatQY0tlRBNekM+OO+OzKJBF5KObyUMngp5PBQyODn4Qa57PwL1l8OF+OJ7zOQU9kIndHEhJQT0BqMmLMkAxtOlEMpl+LL6dchOcpP7LCIiMgJKS74m865UmQvqw4Xw2ASkBzpi5pmPfKrmlCv0bf7ccb2VKNnuArHi+vw2bYcPH8Td+IDgI0nyqDRmxAb5IWe4apLHmcwmrD1pDk5eEMnTEoBwN3XReG9jadwtKgWBwtqkBJz6VZH6jzOt++J+3eQ76Sp01DKZQj2kSHYR3nNjzUxORwbMsvwy+FizFlyEKseH4Yg72t/XLo6Gr0Rj357AFtPVkAhl+Kz+1IwOK7jb/VLRERXRyqVQCGTQmc0QcukFNnJTxlFAIDJ/SPx35YZqHVXkZSSSCSYl5aIh7/Zj8W78jBjWKxNXs+6ulWHiwGYq6TaqvzJKKxBbbMevh5u6NdJP7AM9FZiUnI4lh84i8W78piUIgAXtu+JWynFWmWiq/Tqbb0QF+SFkloNHl+aAYORL2rF0KQz4KFF+7D1ZAXc3aT4evp1GNmtc34KRkREV87SssdKKbKHU2X1OHK2FnKpBLckh1s3XKltbn9SCgBGdw9BcpQfmvVGfLb1jC1DdUk1TTpr9dMtl9l1b+MJc+veiMTgVp0Pnc0DQ7oAAH49WoKyOo24wZBTON++J+5Mqc77U0l0jXzc3fDZfSnwVMiQnlOFN9ZliR1Sp1PdqMO9C/dg1xnzDKlvHhqEofFBYodFREQuwDJXipVSZA8rWqqkRnYLQYCXwrprnmXGaXtJJBI8fWMiAODb3fkoqW22TaAuauWhYuiNAnqEqZAQ2vb80M0t86RGd+/cH1r2ivDFdV38YTAJWLI7X+xwyAlY2veYlCJyYQmhPnj7jmQAwBfbc/FNep64AXUiBVVNuP2TXThYUAOVuxzfPjwIA2MDxA6LiIhcBCulyF6MJgE/tySlpvSPAIBrrpQCgOsTgjCwSwC0BhP+/fvJaw/UhS0/UAgAuGNA2zvJFVQ1IbusHjKpBCMSgx0RmlObPiQWALB0bwE0l9hhnDoPT4V5mpPY3wtMShFdo5t7h+GZlk+uFvxyHOuOlYocUcd35GwNJn+yEzmVjYjw88D/Zg9B/2j2xhMR0ZU7XynFN2ZkW7tzqlBSq4HKXY4bWqpz/DyurVIKMFdLvXCzecj5fw+exYmSumsP1gWdKKnDsaI6uMkkmNQ3os1jf880vy6/ros//Dy5a+GYnqEI83VHZYMOv7TM5KLOi+17RB3I3BviMXVgNAQBeHJZBnadqRQ7pA5r3bES3PXZblQ26NAjTIUVjw25bNk2ERHRH7FSiuzlfy1DzSckh0MpN7/ps1RK1V1DpRQA9Iv2x/g+YRAE4PW1nXN0xPL95vVN6x6KAK+2E00bTpQBAG7sobZ7XK7ATSbF9JbZUl9uz4Ug/HEfcupM2L5H1IFIJBK8Mqkn0rqHQmsw4aFF+5iYsjGTScDbv2Vj1ncH0aw3YnhCEH6clYpQlbvYoRERkQuyJAs4U4psqU6jx6/HSgAAd6Scby3zs8yUusakFAA8N7Yb3GQSbD1ZgR2nOtfrTZ3BhJ8PmVsjL9e6V9Okw768cwCAMT1C7R6bq7h7YDQ8FTJkl9Vjx+nO9f1DrSndnKNimEkpIhuRy6T48J5+GNUtGBo9E1O2VNusx4zF+/Dh5tMAgBnDYvH19OvgrZSLHBkREbkqBQedkx2sPlwCjd6EhBBv9I3ys97u62Gu6LmWmVIWMYFeuHdwDADgX7+egMnUeapdNmeXo7pRhxAfJa5PaHtG1KaschhNApLUPogK8HRQhM7P18MNdw6IAgAs3J4rcjQkJkXLbpR6kXeRZ1KKyIbc3WT45N4Ua2Jq+tf7sPZoidhhubTDhTWY+OEObM6ugFIuxX/u6osXJ/To1Fv6EhHRteNMKbKHH/abB3DfOSAKEonEeruvdaaUzibP8/gNCfBRypFZUoefWoaqdwZL9xQAAG7rH3HZ14LrMy2te6yS+qOHhsZCKgG2nqzAybJ6scMhkSidpI2d7+qIbMySmBrTIxQ6gwmPLT2Ir3bwU4j2MpkEfLLlDKZ8sgv5VU3Wgea39mt7oCUREdGVcG+ZpaHVs1KKbCO7tB6HC2sgl0pwW//Wr1cs7Xu2qJQCgAAvBebcEA8AeH1dFuo1tnlcZ5Zf1YitJysgkQD3DIxu81iN3oitJysAmGdPUWvRgZ4Y29M8Z4vvUzovS8WwSQAMIlZLMSlFZAeWxNR9g2MgCMA/V2diwcpjomehXUVJbTPu/2ov3liXBYNJwPjeYfj1yeHoFeErdmhERNRBnN91yCByJNRRLG+pkhrdPQRB3spW91kqpWqb9TYbLv3g0C6IDfJCRb0WH2w6bZPHdGbf7c4HAIxIDEZMoFebx6bnVKFJZ0SoSonefP14UQ8PjwUArMgoQmWDVuRoSAxuF1Qb6piUIup4ZFIJ/jmpJ54b1w0AsDg9H/d8sRtldRqRI3NeJpOAJXvyceO/t2HH6Up4uMnwxpTe+PCeftYXc0RERLbg2VIp1SjyrkPUMegMJqxoaaOzzOu5kKVSSm8UbLbTlVIuw4JbegAwV7uc6sBtWM06I35s2XXv/tSYyx5vad1L6x4KqVRymaM7p/7R/ugb5QedwWRN+FHnYqmUAgC9QbzZdExKEdmRRCLBYyPjsfD+AfBxl2N//jmMf39Hp9sp5UrkVTZi6he78befjqFBa0C/aD+senwY7rouutVMBiIiIlvwbKmUamZSimxgU1aZdQD3iMQ/D+D2cJPBTWZ+PWOrFj4AGNktBDf2CIXBJODlVcdtVoXlbFYdLkZtsx6R/h4YkRjS5rEmk4ANnCd1WRKJxFot9W16PjR6/i7sbORSCSxvs7RG8f79mZQicoC0HqFYNXcYktQ+qGzQ4t4v92DBymN8IQygUWvAW79lYcx/tmFPbjU83GR4aUIP/HfWEMSHeIsdHhERdVAeCvMOrraqWqHOzVLFMyUl8qIDuCUSiXUHvpom285/emlCDyjkUuw8XYW1x0pt+tjOQBAELE7PAwDcOzgGsstUPh0pqkV5vRbeSjlSuwY6IELXNa6nGhF+Hqhq1GHloc4zMJ/MJBKJdQc+McfMMClF5CBdgrzw02NDrSXHi9PzcfP727E7p0rkyMQhCAJ+yjiLG97Zgo82n4HOYMLwhCD8Pu96PDQs9rIvOIiIiK6FtVJKz5lSdG1KazXYkl0OALgjJfKSx1la+GqabbMDn0VUgCdmj+gKAHhldSYatB3rezo9pwrHi+vg7ia9aGvkH63PNCfmRiQGQymX2Ts8lyaXSfHg0C4AgIXbcztspR1dmsIJduBjUorIgTwUMvxzUi9889BAqFXuyK1sxN2f78aTyzI6zawpQRCw8UQZJnywA/N+OIyyOi2iAzzx+X0p+OahgYgK8BQ7RCIi6gQ8rYPOWSlF1+Z/B8/CJADXdfFHXPClq7wt8zHrbNi+ZzF7ZFdEB3iipFaDN9dl2fzxxfTZ1hwA5lldAV6Kyx6/IdOcIEzr0XabH5ndeV0UvJVynCpvsO5YSJ2HpVJKb+RMKaJO5frEYPz21PWYNigaEgmw8lAxbnh7Cz7cdAqNHezTLQtBELDtZAVu+3gXZizej+PFdfBSyPDs2G74fd71GNNTzdlRRETkMB5MSpENCIJg3XXvjstU8fi1JKVs3b4HmHd+fm1ybwDAN+n52JdXbfPnEMOJkjpsPVkBqQR4eFjcZY8vqGpCdlk9ZFIJRnVjUupKqNzdcNd15u/dhdtzRY6GHI2VUkSdmK+nG169rTdWzhmK5Cg/NOqMePv3kxj+5mYs3J7TYYYN6gwmrDh4FuPf34H7v9qLQ4U1cHeT4tERcdg+/wbMGRUPdzeWVhMRkWNx0DnZwp7cauRVNcFLIcP43mFtHmuplLLloPMLDY0Pwl0tibH5/zvSIV5Lfr7NXCV1c+8wRAdevpr+95bWvYFdAuDnefmqKjKbPqQLpBJgx+lKZBbXiR0OOZA1KcVB50SdV59IP/w0ewjeu7svugR6orpRh/9bcwJDXt+Ef/+ejfJ612zrK65pxvsbT2HYG5vw9I+HkVlSBw83GR4aGovtz92AF27qfkUl2ERERPbg4WYZdN4xK5TJMZbuKQAA3JIcDi+lvM1jfVtmSp2zQ6WUxV9v7o5gHyVyKhrxwaZTdnseRyisbsIvh4sBAI9e3/WKzlnPXfeuSlSAJ8b3CQcAfLbtjMjRkCNZ2ve0IlZKtf2bk4gcQiqVYFLfCIzvHYYVB4vw/qZTOHuuGe9vOo1Pt+bg5t5q3J4ShdSugU49AFyjN+L3zDIs31+IHacrYZmVGKpS4oEhXXDPwGh+akVERE6BM6XoWlU36rCuZbe7aYNiLnt8QMtroHONth10fiFfTze8MqknZn13EJ9uzcGNPdToG+Vnt+ezp/c3noLRJGB4QhB6R/pe9viqBq21bZFJqfZ79Po4rDpcjNVHSvCXMd0457WTcHOCmVJMShE5EblMijuvi8Lk/hH4PbMMC7fn4GBBDX4+VIyfDxUjzNcdt/aLwJgeoUiO9IPUCRJUtc16bM4qx7pjpdh6sgLNF5SKD44LwN3XRePm3mHW0lAiIiJncH73PSal6Or890AhdEYTekf4XlHSJMDbnJSqsmNSCgDG9QrDhD5hWH2kBPN+OITVjw+7bBWXs8mpaMCKjCIAwNM3Jl7ROb9nlsEkAL0jfJlQuQq9InwxPCEI209V4ssduXh5Yk+xQyIHcIaZUq7124mok5DLpLi5dxhu7h2Gw4U1+HF/IVYdLkZJrQafbDmDT7acQZC3EqOTQjAsIQjXdQmA2tfdIbFp9EYczD+HXWeqsOtMJY6crYXBdD6zHuHngSn9I3B7StQV9f4TERGJgYPO6VoIgoDv95oHnN8zKPqKzglsGVtQ3ai1W1wWr97aGwfyzyG3shH/tyYTr03uY/fntKX3WqqkRieFoF+0/xWds7alam1cL7U9Q+vQZo3oiu2nKrFsXwGeGJ3AURudgKULx2hipRQRXUJylB+So/zw4oQe2JRVjjVHSrD1ZAUqG7T4YX8hfmjZ8SUqwAP9o/3RTe2DbqE+SAz1Qbifx1W3+xmMJpTUalBQ3YRTZfU4VlyHY0W1OFXe8KdfWgkh3hjbU41xvdToGa7iLnpEROT0vBQtM6U66K63ZF/pZ6qQW9kIb6UcE5PDr+icAC8lAHPbn735errhnTuTMW3hHny/txAju4VgbE/XSNacLKu3zpKad4VVUrVNeuw6XQmASalrMaRrIHpH+OJoUS0W78q74vUn12V5qygITEoR0WW4u8ms1VM6gwl7c6uxMasM+/KqkVlch8LqZhRWN7c6RyaVIMRHCbWvO0J8lPBWusFTIYOnUgaFTAqDSYDJJEBvFFCn0aOmSYdzTXpUNmhRdK65VQXUhUJVSgzpGoTUroFIjQtkiTQREbkc60wpvRGCIPADFWqXJS0Dzif1vfyAc4sAL/Ogc3u371kM6RqEmcPj8Nm2HDz/vyPoE+mLMF8Phzz3tXh1zQkIAjCupxq9Ii7fFgkAG7PKYDAJSAz1RtdgbztH2HFJJBI8OiIOc5dm4Jv0PDw6Ig6eCqYMOjJpy98+I5NSRNQeCrkUwxKCMCwhCABQr9HjYEENjhXV4mRZPbJL65FT0QhdS7VTSe3V7eCnkEkRGeCB2EAv9IzwRa9wFXpH+kKtcueLdyIicmmW9j1BMO865O4mEzkichUV9Vr8dtzcKnalrXvA+Uqpeo0BOoPJIfM2nx6TiJ1nKnGsqA6zvzuIHx4dDKXceb/XN2eVY+vJCrjJJJh/U9IVn3e+dS/MXqF1Gjf1CkN0QDYKqpvw475CTB8aK3ZIZEeWrhoRu/eYlCLqCHzc3TAiMRgjEoOttxlNAiobtCip1aC0VoOKeg0adUY0aQ1o1BmhN5ogl0ohl0kglUjg4y6Hv6cC/p5u8PdSICrAE2qVu1Pv9kdERHS1vBRySCTmpFS9xsCkFF2x5QcKYTAJ6Bvlh57hV1bJAwB+Hm6QSsxv/mqadAhR2X8eqFIuw8f3pOCWD3fgUGEN/m/1Cbxyay+7P+/V0BlMeGVNJgDgwaGxiA3yuqLzGrUGbDtZAQC4ia1710wmleCR6+Pw4s/H8MX2XEwbHGPdoY06HkullIkzpYjI1mRSCUJV7ghVuQNRYkdDRETkXKRSCbwVctRrDajX6BHsoxQ7JHIBJpOAZe0ccG4hlUrg76lAVaMOVY2OSUoBQHSgJ/5zV188tHgfvt2dj37RfpjcP9Ihz90ei3flIaeiEUHeCsy9If6Kz9ucXQ6twYSYQE8kqX3sGGHncUdKJN7bcBJFNc349WgJJvWNEDskshOpEww6Z8qTiIiIiDolH3fz57P1Gg47pyuz43QlCqqb4OMuxy19rmzA+YUCrDvwOWaulMWopBA8cUMCAOD5FUdxIL/aoc9/OflVjXhnfTYA4LmxSVC5u13xuRfuusfxErbh7ibD9CFdAACfbs0RdQg22Zes5UfGJOK/MZNSRERERNQpeTMpRe20ZE8+AGByvwjrXLL2sCSlHDXs/EJPjk7AjT1CoTOY8PDi/cirbHR4DBcjCAKe/99RaPQmpMYF4o4BV17FpdEbsTmrHIB5FhLZzr2DY+CpkOFESR22trRHUsdjbd9jUoqIiIiIyLF8Wqox6jV6kSMhV1BU04z1mWUAgGmDY67qMayVUg1am8V1paRSCd67uy/6RPriXJMeDy7a5/CKrYtZurcA6TlVcHeT4vUpvdtV7bT9VCWadEaE+7ojOfLK53vR5fl5KjB1oLlF9bOtOSJHQ/YidYJB50xKEREREVGnxPY9ao/vdufDJABDugYiMfTqZheJ1b5n4amQY+EDAxDh54HcykZM/3ov6kRMymaX1uOfq8zDzf8yphtiAq9suLnF2mMlAICxbN2zixnDYiGXSpCeU4VDhTVih0N2YNnTijOliIiIiIgczFIpJeabcnINGr0Ry/YWAADuT+1y1Y8TKGL7nkWIjzsWP3QdArwUOHK2Fg98tRcNWscnZpt0BsxZehBagwkjEoPx0NDYdp2vM5iwoaVyja179hHu52Edcv7R5tMiR0P2IJOyfY+IiIiISBSslKIrtepwMc416RHh54G07iFX/TiWSqlzTeK2zcWH+OC7GYPg6+GGjIIaPOjgiimTScDTPxzG6fIGhKqU+PedydY2oiuVnlOFOo0BQd4KpMT42ylSemxUV0gkwPrMMmSV1okdDtmYdaYUK6Uur7q6GtOmTYNKpYKfnx9mzJiBhoaGNs/RaDSYM2cOAgMD4e3tjSlTpqCsrMx6f1VVFcaNG4fw8HAolUpERUVh7ty5qKvjDxsRERFRR8ekFF0JQRCwOD0PADBtcDTksqt/CxXgrQQAVDWIP8upR7gK380YBB93OfblncOdn6ajrE7jkOd+be0JrDteCoVMig/v6Y/AlnVpj7VHza17Y3qqrdUeZHtdg71xc0sl2kebz4gcDdmaJSll5Eypy5s2bRqOHz+O9evXY/Xq1di2bRtmzpzZ5jnz5s3DqlWrsHz5cmzduhXFxcWYPHmy9X6pVIpJkybhl19+wcmTJ7Fo0SJs2LABs2bNsvflEBEREZHILNvON2jZvkeXdrCgBseK6qCQS3H3ddHX9FhBLZVSlSIMOr+Y3pG+WDZzMIJ9lMgqrcfkj3fhZFm9XZ/zo82n8cX2XADAW3f0wXVdAtr9GDqDCWuPlQIAJvRh6569zRkVDwBYc6QYORVtF4aQa7HkcwW277XtxIkTWLduHRYuXIhBgwZh2LBh+OCDD7Bs2TIUFxdf9Jza2lp8+eWX+Pe//40bbrgBKSkp+Prrr7Fr1y7s3r0bAODv74/Zs2djwIABiImJwejRo/HYY49h+/btjrw8IiIiIhIBK6XoSnzTUiU1MTnc2n53tYJ9zBVBFfXOkZQCgJ7hvlgxewhig7xQVNOMSR/uxMpDRTZ/HkEQ8N6GU3jrt2wAwHPjulnnFbXXztOVqG3WI9hHiUGxgbYMky6iR7gKo5NCYBKAT7awWqojsXTtSUXcKMAlklLp6enw8/PDgAEDrLelpaVBKpViz549Fz3nwIED0Ov1SEtLs96WlJSE6OhopKenX/Sc4uJirFixAiNGjGgzHq1Wi7q6ulZfRERERORavJVMSlHbyus1+LWlTWz6kC7X/HghPu4AgDqNARq98Zofz1aiAjzxv9lDMCw+CM16I55cdggvrDhiszlTWoMRz/73CN7dcBIA8OzYbnhsZPxVP96qI+bChJt7sXXPUebcYP73+imjCGfPNYkcDdmKZcC5mJtXukRSqrS0FCEhrQcKyuVyBAQEoLS09JLnKBQK+Pn5tbo9NDT0T+dMnToVnp6eiIiIgEqlwsKFC9uM57XXXoOvr6/1Kyoqqv0XRURERESisuy+V8/d9+gSvt9TCL1RQP9oP/SK8L3mx1N5yKGQm9+COVO1FGAewr74oYGY29Kq9f3eQoz59zasO1Z6Ta092aX1uP2TdPz3wFlIJcDLt/SwtoNdDY3eiPXHzXOCJySHX/XjUPv0j/bH0PhAGEwCPtuaI3Y4ZCOWn+xOWyn1/PPPQyKRtPmVlZVl9zjeffddHDx4ECtXrsSZM2fw9NNPt3n8Cy+8gNraWutXYWGh3WMkIiIiItti+x61RW80YcmefADAAzaokgIAiUSC4Jah3uVOlpQCzNvD/2VsN3z/yGB0CfREaZ0Gs747gMmf7MLWkxXt2qGrulGH1349gVs+2IGjRbXw9XDD4ocGYvrQ2GuKcdvJCtRrDVCr3JESzV33HMmSTPxhfyHKHTQUn+zLknAWs+BQLt5TA8888wymT5/e5jFxcXFQq9UoLy9vdbvBYEB1dTXUavVFz1Or1dDpdKipqWlVLVVWVvanc9RqNdRqNZKSkhAQEIDhw4fjxRdfRFjYxYfmKZVKKJXt3yGCiIiIiJyHZdC5rVqUqGNZe6wU5fVaBPsocVMv2w3TDlEpUVTTjIp6531Tn9o1EOueuh4fbDqFL3fkIqOgBg98tRcxgZ6Y3C8SI7oFo1e46k87ETZqDTiQfw6rDhdjzdESNOnMLYqjk0Lw2uTeCFG5X3Nsq4+Y2ynH9wmDlK17DpUaF4iUGH8cyD+HhTty8debu4sdEl0jk6nl/4hYKSVqUio4OBjBwcGXPS41NRU1NTU4cOAAUlJSAACbNm2CyWTCoEGDLnpOSkoK3NzcsHHjRkyZMgUAkJ2djYKCAqSmpl7yuUwt/yparfN9ckFEREREtuPnaU5K1TTpIQgCJGIO1SCnIggCFm43tyhNGxRtbbmzBUullLO17/2Ru5sMz45NwgOpXfDxljP434GzyK9qwrsbTuLdDSfhJpMgKsATfh7mn6OKBi2KazQwXlBN1TNchb+M6YaR3YJt8vPVrDNiw4mW1j3uuudwEokEc0fF48FF+/Dd7nzMHtEV/tc4/J/EZerslVJXqnv37hg3bhweeeQRfPrpp9Dr9Zg7dy7uvvtuhIeb+4iLioowevRofPPNNxg4cCB8fX0xY8YMPP300wgICIBKpcLjjz+O1NRUDB48GADw66+/oqysDNdddx28vb1x/PhxPPvssxg6dCi6dOki4hUTERERkb35e5rfTBlMAuq1BmvlFNH+/HM4crYWCrkU9w2Oseljh6ict33vYkJU7nh5Yk88N64b1hwpwcYT5dh5phL1GgNyKhr/dHyEnweGJwRhSkokBsT42zTZuymrHE06IyL9PdA3ys9mj0tXbmS3YPQMV+F4cR2+3pmLp8d0EzskugbOsPueSySlAGDJkiWYO3cuRo8eDalUiilTpuD999+33q/X65GdnY2mpvM7Abz77rvWY7VaLcaOHYuPP/7Yer+Hhwe++OILzJs3D1qtFlFRUZg8eTKef/55h14bERERETmeh0IGpVwKrcGEmkY9k1JkZamSmtI/AoHeth3bEextbmFz9kqpP/JUyHHHgCjcMSAKJpOAkjoN8iob0ag1wCQICPRWIsrfE2rfa2/Ru5TVLbvuTegTzspGkViqpWYvOYhFu/Lw8PVx/N3p0lp23xMxApdJSgUEBGDp0qWXvL9Lly5/2hXC3d0dH330ET766KOLnjNq1Cjs2rXLpnESERERkevw91SgtE6Dc006RAd6ih0OOYH8qkb8nmluEXvoGodyX4yrVUpdjFQqQYSfByL8PBz2nA1aAzZlmecMs3VPXGN7qhEf4o3T5Q34Zlce5t6QIHZIdJWcoVJK1N33iIiIiIjEZJkrda5JJ3Ik5Cy+3pkHQTC3KSWE+tj88UN8LEkp5x107ow2niiD1mBCbJAXeoarxA6nU5NKzdVSALBwRy7quVmEy7LMlBKz8JBJKSIiIiLqtCxzpWqa+KaKgNomPX7cXwgAeHhYnF2eI9jHNQadO5tVh8277k3oE8bWPSdwS3I44oK8UNOkxzfp+WKHQ1eJlVJERERERCLy92KlFJ33/b4CNOmMSFL7YGh8oF2eI8THPHOpskHXaqc6urTaJj22nawAYJ4nReKTSSV4YrS5be+L7TmslnJRghNUSrnMTClnZvmHrKurEzkSIiIiag/L3+4/zqWkzsOvpVLqHCulOj290YRFO/MAADOGxdqtGifQWwGJBDCaBFQ1aq1JKrq0NUdLoDOakKT2QTe17Vsq6erckhyO9zedQk5FI75Jz8eclpY+ch2WxLhMyt33XFp9fT0AICoqSuRIiIiI6GrU19fD19dX7DBIBP4tM6VqWCnV6f16tASldRoEeSsxsa/9qnHcZFIEeytRXq9FSY2GSakr8HNGEQDgtn4RIkdCF5JJJXhydAKeXHYIX2zPwf2pMfDhTnwuRW80AQAUMvGa6JiUsoHw8HAUFhbCx8fnT5+o1NXVISoqCoWFhVCpOJDvSnDN2o9r1n5cs6vDdWs/rln7OXLNBEFAfX09wsPZDtJZ+bNSimD+XfDF9hwAwAOpMVDKZXZ9vjA/D3NSqlaDZH6u3abC6ibszauGRAK7Jgvp6kzoE473NrJaylXpDOaklBuTUq5NKpUiMjKyzWNUKhXfjLQT16z9uGbtxzW7Oly39uOatZ+j1syVK6Sqq6vx+OOPY9WqVZBKpZgyZQree+89eHt7X/IcjUaDZ555BsuWLYNWq8XYsWPx8ccfIzQ01HpMQUEBZs+ejc2bN8Pb2xsPPPAAXnvtNcjl5186btmyBU8//TSOHz+OqKgo/P3vf8f06dNbPVdRURHmz5+PtWvXoqmpCfHx8fj6668xYMAAm6/F1fKzDjpnpVRntuN0JY4V1cHDTYZpg2Ps/nzhvu44XAiU1Dbb/blc3S+HiwEAqXGBCPP1EDka+iNWS7k2ndHcvqeQi5eU4qBzIiIiIhc1bdo0HD9+HOvXr8fq1auxbds2zJw5s81z5s2bh1WrVmH58uXYunUriouLMXnyZOv9RqMR48ePh06nw65du7B48WIsWrQIL730kvWY3NxcjB8/HqNGjcKhQ4fw1FNP4eGHH8Zvv/1mPebcuXMYOnQo3NzcsHbtWmRmZuKdd96Bv7+/7RfiGlja9zjovHP7ZMsZAMDdA6MQ4KWw+/NZkisltRq7P5crEwQBKw6eBQDcytY9pzWhTzjigs078S3elSd2ONQOlvY9VkoRERERUbucOHEC69atw759+6yVRx988AFuvvlmvP322xdtSaytrcWXX36JpUuX4oYbbgAAfP311+jevTt2796NwYMH4/fff0dmZiY2bNiA0NBQ9O3bF6+88grmz5+Pl19+GQqFAp9++iliY2PxzjvvAAC6d++OHTt24N1338XYsWMBAG+88QaioqLw9ddfW58/NjbW3svSbv4tCYhzjWzf66wOFdZg15kqyKUSPDw8ziHPGe5nniNVXMNKqbYcL67DmYpGKOVSjOulFjscuoTW1VK5eGBIF1ZLuQhL+x4rpTowpVKJBQsWQKlUih2Ky+CatR/XrP24ZleH69Z+XLP245pdmfT0dPj5+bVqhUtLS4NUKsWePXsues6BAweg1+uRlpZmvS0pKQnR0dFIT0+3Pm7v3r1btfONHTsWdXV1OH78uPWYCx/DcozlMQDgl19+wYABA3DHHXcgJCQE/fr1wxdffNHmNWm1WtTV1bX6srcA60wpVkp1Vp+2VElN6huBCD/HtIexUurK/NQy4DytRyhUTHI4tQl9wtE12Au1zayWciXOMOicSSk7UyqVePnll/nCuh24Zu3HNWs/rtnV4bq1H9es/bhmV6a0tBQhISGtbpPL5QgICEBpaeklz1EoFPDz82t1e2hoqPWc0tLSVgkpy/2W+9o6pq6uDs3N5sqPnJwcfPLJJ0hISMBvv/2G2bNn44knnsDixYsveU2vvfYafH19rV+O2Nk4yMf8fdakM6JRa7D785FzOV3egN8yzd/Xs0Y4pkoKAMJaKqVKWCl1SQajCSsPmedJ3daXrXvOTiaV4InRCQCAL7bnol7D6lNXYG3fk0suc6T9MClFRERE5ESef/55SCSSNr+ysrLEDvOyTCYT+vfvj3/961/o168fZs6ciUceeQSffvrpJc954YUXUFtba/0qLCy0e5xeChnc3cwviSsbtHZ/PnIun287A0EAbuwRioRQH4c9b3hLpVRZvRZGk+Cw53UlO89UobJBC39PN1yfGCx2OHQFLqyWWrQzT+xw6ApoDayUIiIiIqILPPPMMzhx4kSbX3FxcVCr1SgvL291rsFgQHV1NdTqi89eUavV0Ol0qKmpaXV7WVmZ9Ry1Wo2ysrI/3W+5r61jVCoVPDzMb7bDwsLQo0ePVsd0794dBQUFl7x2pVJp3XXRUbsvSiQSBLdUSzEp1bmU1DZb28Nmj+zq0OcO9lFCLpXAaBJQXs8Wvov5ueXfZkKfcFHn3dCVa10tlYPaZlZLOTtnGHTOn24iIiIiJxIcHIykpKQ2vxQKBVJTU1FTU4MDBw5Yz920aRNMJhMGDRp00cdOSUmBm5sbNm7caL0tOzsbBQUFSE1NBQCkpqbi6NGjrRJe69evh0qlsiaZUlNTWz2G5RjLYwDA0KFDkZ2d3eqYkydPIiYm5ipXxn6CvM1JqYp6JqU6k4Xbc6E3ChgUG4D+0Y7dFVImlSBU1dLCx7lSf9KoNWDdMXNbJXfdcy0T+oQjMdQbdRoDFm7PETscugy90VypqeSgcyIiIiJqj+7du2PcuHF45JFHsHfvXuzcuRNz587F3Xffbd15r6ioCElJSdi7dy8AwNfXFzNmzMDTTz+NzZs348CBA3jwwQeRmpqKwYMHAwDGjBmDHj164L777sPhw4fx22+/4e9//zvmzJljnfM1a9Ys5OTk4LnnnkNWVhY+/vhj/Pjjj5g3b541vnnz5mH37t3417/+hdOnT2Pp0qX4/PPPMWfOHAev1OUFW5JSDRx23lmca9Th+73mqj1HV0lZhPlyB75LWXesFM16I2ICPdE/2k/scKgdZFIJnr6xGwDgyx25rEB1YkaTYG0fZqWUC6uursa0adOgUqng5+eHGTNmoKGhoc1zNBoN5syZg8DAQHh7e2PKlCmtSuCrqqowbtw4hIeHQ6lUIioqCnPnznXIDjSOYI81O3z4MKZOnYqoqCh4eHige/fueO+99+x9KQ5lj3UDgCeeeAIpKSlQKpXo27evHa/A/j766CN06dIF7u7uGDRokPVN2KUsX74cSUlJcHd3R+/evfHrr7+2ul8QBLz00ksICwuDh4cH0tLScOrUKXtegsPZes1WrFiBMWPGIDAwEBKJBIcOHbJj9OKw5Zrp9XrMnz8fvXv3hpeXF8LDw3H//fejuLjY3pfhcLb+Xnv55ZeRlJQELy8v+Pv7Iy0t7ZI7znVkS5YsQVJSEkaPHo2bb74Zw4YNw+eff269X6/XIzs7G01NTdbb3n33XUyYMAFTpkzB9ddfD7VajRUrVljvl8lkWL16NWQyGVJTU3Hvvffi/vvvxz//+U/rMbGxsVizZg3Wr1+P5ORkvPPOO1i4cCHGjh1rPea6667DTz/9hO+//x69evXCK6+8gv/85z+YNm2anVel/SzDzitZKdVpLE7PQ5POiO5hKowQaV5RpL+51fXsOSal/mj5AfM8uSn9IyGRiDeAma7O2J6h6BPpiyadEZ+07G5JzkdrMFr/v9JNxNSQQNdk3LhxQnJysrB7925h+/btQnx8vDB16tQ2z5k1a5YQFRUlbNy4Udi/f78wePBgYciQIdb7q6urhY8//ljYt2+fkJeXJ2zYsEHo1q3bZR/XVdhjzb788kvhiSeeELZs2SKcOXNG+PbbbwUPDw/hgw8+sPflOIw91k0QBOHxxx8XPvzwQ+G+++4TkpOT7XgF9rVs2TJBoVAIX331lXD8+HHhkUceEfz8/ISysrKLHr9z505BJpMJb775ppCZmSn8/e9/F9zc3ISjR49aj3n99dcFX19f4eeffxYOHz4sTJw4UYiNjRWam5sddVl2ZY81++abb4R//OMfwhdffCEAEDIyMhx0NY5h6zWrqakR0tLShB9++EHIysoS0tPThYEDBwopKSmOvCy7s8f32pIlS4T169cLZ86cEY4dOybMmDFDUKlUQnl5uaMuixygtrZWACDU1tba9Xn+/Xu2EDN/tfDCiiN2fR5yDrXNOqH3gnVCzPzVwi+HikSL453fsoSY+auFv/L7rpX8ykYhZv5qocvzq4Wz55rEDoeu0tbsciFm/moh4W+/CsU1/Hd0RuV1GiFm/mohZv5qwWg02fzxr/RvOJNS1yAzM1MAIOzbt89629q1awWJRCIUFV38D1xNTY3g5uYmLF++3HrbiRMnBABCenr6JZ/rvffeEyIjI20XvEgcuWaPPfaYMGrUKNsFLyJHrNuCBQtcOik1cOBAYc6cOdb/NhqNQnh4uPDaa69d9Pg777xTGD9+fKvbBg0aJDz66KOCIAiCyWQS1Gq18NZbb1nvr6mpEZRKpfD999/b4Qocz9ZrdqHc3NwOmZSy55pZ7N27VwAg5Ofn2yZoJ+CIdbO88NmwYYNtgian4Kik1DfpeULM/NXCI4v3Xf5gcnkfbDwpxMxfLYx+Z4tgsMMbsSv1474CIWb+auHehbtFi8EZWZJ1XBfXZjKZhDs+3SXEzF8tPP8/Jl6dkSUBnPT3tXZ5/Cv9G872vWuQnp4OPz8/DBgwwHpbWloapFLpJVsIDhw4AL1ej7S0NOttSUlJiI6ORnp6+kXPKS4uxooVKzBixAjbXoAIHLVmAFBbW4uAgADbBS8iR66bK9LpdDhw4ECra5VKpUhLS7vktaanp7c6HgDGjh1rPT43NxelpaWtjvH19cWgQYM6xPrZY806OketWW1tLSQSCfz8/GwSt9gcsW46nQ6ff/45fH19kZycbLvgqdM4P1OK7XsdXYPWgIU7cgEAj98QD5lUvNawqABPAEBhddNljuw8jCYB/z1wFgBwx4AokaOhayGRSPDsWPNsqeX7C5Ff1ShyRPRHTXoDAMBLKRM1DialrkFpaSlCQkJa3SaXyxEQEIDS0tJLnqNQKP70ZiM0NPRP50ydOhWenp6IiIiASqXCwoULbRq/GOy9Zha7du3CDz/8gJkzZ9okbrE5at1cVWVlJYxGI0JDQ1vd3ta1lpaWtnm85X/b85iuxB5r1tE5Ys00Gg3mz5+PqVOnQqVS2SZwkdlz3VavXg1vb2+4u7vj3Xffxfr16xEUFGTbC6BOIdhHAQAcyNsJfJOeh5omPeKCvDChT7iosUS3JKXOnmu2Dhvu7HadqURxrQYqdznG9Ai9/Ank1K7rEoARicEwmAT8Z0PHmsvaETRqzTOlPBRMSjmd559/HhKJpM2vrKwsu8fx7rvv4uDBg1i5ciXOnDmDp59+2u7PebWcZc0A4NixY5g0aRIWLFiAMWPGOOQ5r5YzrRsRiUuv1+POO++EIAj45JNPxA7HJYwaNQqHDh3Crl27MG7cONx5550oLy8XOyxyQcHe5l3QKuq1EAQmBzqqRq0BC7ebq6TmilwlBQChKncoZFIYTAJKajnsHAB+3G+ukprUNwLubuK+USbb+MsYc7XUz4eKcLKsXuRo6ELNOnNSytNNLmoc4j67k3rmmWcwffr0No+Ji4uDWq3+04tfg8GA6upqqNXqi56nVquh0+lQU1PTqoKlrKzsT+eo1Wqo1WokJSUhICAAw4cPx4svvoiwsLCrui57cpY1y8zMxOjRozFz5kz8/e9/v6prcSRnWTdXFxQUBJlM9qedBdu6VrVa3ebxlv8tKytr9TNXVlbm8rsUAvZZs47OnmtmSUjl5+dj06ZNHaZKCrDvunl5eSE+Ph7x8fEYPHgwEhIS8OWXX+KFF16w7UVQhxfUUiml0ZvQqDPCW8mXyB3Rd7vzUd2oQ5dAT0xMFrdKCgBkUgki/T2QU9mIguomRPp7ih2SqGqb9PjtuLki9k627nUYvSN9cVMvNdYeK8U7v2fjs/sGXP4kcogmnbl9j5VSTig4OBhJSUltfikUCqSmpqKmpgYHDhywnrtp0yaYTCYMGjTooo+dkpICNzc3bNy40XpbdnY2CgoKkJqaesmYTCYTAECrdc6ycmdYs+PHj2PUqFF44IEH8Oqrr9rvYm3IGdatI1AoFEhJSWl1rSaTCRs3brzktaamprY6HgDWr19vPT42NhZqtbrVMXV1ddizZ0+HWD97rFlHZ681sySkTp06hQ0bNiAwMNA+FyASR36vmUwmp/07Sc7NUyG3JqLK6jQiR0P20Kwz4vNtOQCAOaPiIZc5x9sgzpU675fDRdAZTEhS+6BXRMf5cIaAp29MhEQC/Ha8DEfO1ogdDrVo1psrpcSeKcXd967RuHHjhH79+gl79uwRduzYISQkJAhTp0613n/27FmhW7duwp49e6y3zZo1S4iOjhY2bdok7N+/X0hNTRVSU1Ot969Zs0b46quvhKNHjwq5ubnC6tWrhe7duwtDhw516LXZiz3W7OjRo0JwcLBw7733CiUlJdavjrQ1uD3WTRAE4dSpU0JGRobw6KOPComJiUJGRoaQkZEhaLVah12bLSxbtkxQKpXCokWLhMzMTGHmzJmCn5+fUFpaKgiCINx3333C888/bz1+586dglwuF95++23hxIkTwoIFC/605fzrr78u+Pn5CStXrhSOHDkiTJo0SYiNjRWam5sdfn32YI81q6qqEjIyMoQ1a9YIAIRly5YJGRkZQklJicOvzx5svWY6nU6YOHGiEBkZKRw6dKjV7y9X+xlsi63XraGhQXjhhReE9PR0IS8vT9i/f7/w4IMPCkqlUjh27Jgo10j24ajd9wRBEEa/s0WImb9a2HGqwu7PRY73xbYzQsz81cLwNzYJOoNR7HCs/v7TUSFm/mrhzXUnxA5FdBPe3y7EzF8tLNyeI3YoZAfzlmUIMfNXC/d9uefyB5NDLNmdL8TMXy3MWGSfnWev9G84k1LXqKqqSpg6darg7e0tqFQq4cEHHxTq6+ut91u2Rd+8ebP1tubmZuGxxx4T/P39BU9PT+G2225r9YZt06ZNQmpqquDr6yu4u7sLCQkJwvz584Vz58458Mrsxx5rtmDBAgHAn75iYmIceGX2ZY91EwRBGDFixEXXLjc310FXZjsffPCBEB0dLSgUCmHgwIHC7t3ntxIeMWKE8MADD7Q6/scffxQSExMFhUIh9OzZU1izZk2r+00mk/Diiy8KoaGhglKpFEaPHi1kZ2c74lIcxtZr9vXXX1/0+2nBggUOuBrHsOWaWX5uL/Z14c9yR2DLdWtubhZuu+02ITw8XFAoFEJYWJgwceJEYe/evY66HHIQRyal7l24W4iZv1pYvr/Q7s9FjtWsMwgD/m+9EDN/tbBsb77Y4bTy+VZzsmzu0oNihyKqEyW1Qsz81UL8X9cIlfUascMhO8ivbBS6vrBGiJm/Wkg/Uyl2OCScT9Y/bqffP1f6N1wiCJzmSERERETOp66uDr6+vqitrbX7rLXn/nsYP+4/i7+MScTcGxLs+lzkWF/tyMU/V2ciws8DW54dCTcnad0DgHXHSjHruwPoE+mLX+YOEzsc0SxYeQyL0/NxUy81Prk3RexwyE7+/vNRfLe7AH2j/PDTY0MgkYi72UBn98HGU3hn/UncfV0UXp/Sx+aPf6V/w53nNzIRERERkUjUvh4AgOJazpTqSJp0Bny85TQA8457zpSQAoCuwV4AgJyKxk6782OTzoAVB4sAAPcMihY5GrKnJ0YnwFMhw6HCGqw7Vip2OJ1eQ8ugc0+FuJt7ONdvZSIiIiIiEYT5ugMASpmU6lC+3pmHygYdYgI9cXtKpNjh/El0oCekEqBBa0B5fefcqGHV4WLUaw2ICfTE0K5BYodDdhTi446Hh8cBAN78LRt6o0nkiDq3umY9AMDXw03UOJiUIiIiIqJOz5KUKmFSqsOobdbjs61nAADz0hKdrkoKAJRyGaJbduA7U9EgcjTiWLKnAABwz8BoSKVs5+roZl4fhyBvBXIrG7FsX6HY4XRqdc3mSilfD1ZKERERERGJKqylfa+ktlnkSMhWvtiWgzqNAYmh3rglOVzscC6pa7A3AOBMRaPIkTje0bO1OHK2FgqZ1Ckr2cj2vJVyPDHaPLfvvQ2n0Kg1iBxR51XbUimlYqUUEREREZG41C2VUjVNejTrjCJHQ9eqskGLr3bmAgCevrEbZE5cgdM1pCUpVd75KqWW7s0HAIzrpUagt1LkaMhR7r4uGjGBnqhs0GLh9lyxw+m0atm+R0RERETkHFTucngqZACA0jq28Lm6T7acQZPOiD6RvhjbM1TscNpkGXbe2dr36jR6rDxUDACYxgHnnYpCLsWzY7sBAD7fdgaVDZ1znprY6jRMShEREREROQWJRHJ+rlQNW/hcWUltM77dba7AeWZMN6ffdj6upX0vp5O1763MKEKTzoj4EG8MjA0QOxxysPG9w5Ac6YtGnRHvbzwldjidEtv3iIiIiIicyPm5UqyUcmUfbDoNncGEgV0CcH2C8+/mZpkpVVTT3GlaRwVBaDXg3NkTh2R7EokEz9/UHQCwdE8Bcis7V1JWbCaTwN33iIiIiIiciaVSqoiVUi6roKoJP7bs6PWXsc5fJQUAAV4K+Hua3xR2lha+A/nnkFVaD6Vciin9OeC8s0rtGohR3YJhMAl4+/dsscPpVBp1BpgE8/9nUoqIiIiIyAlEB3gCAAqrm0SOhK7Wv9dnw2AScH1isEu1hHVT+wAAskrrRY7EMb7emQcAmNQ3HL6e4r4hJnE9Ny4JEgmw5kgJDhfWiB1Op2Fp3VPIpXB3k4kaC5NSREREREQAolqSUgVMSrmkY0W1+LllcPazY7qJHE37JKlVAICskjqRI7G/4ppmrDteCgB4cGisyNGQ2LqHqTC5n7la7tU1JyAIgsgRdQ7WeVLu4ieFmZQiIvqDiooKqNVq/Otf/7LetmvXLigUCmzcuFHEyIiIyJ6iWCnlsgRBwGtrTwAwV9/0jvQVOaL26R5mrpQ6Udrxk1Lf7s6H0SRgcFwAuoepxA6HnMBfxibC3U2KvXnV+K0lYUn2VdWgAwAEeStEjoRJKSKiPwkODsZXX32Fl19+Gfv370d9fT3uu+8+zJ07F6NHjxY7PCIispOogJZB53Ua6AwmkaOh9th2qhI7T1dBIZPiLy5WJQXAmpw5UVLfoStFmnVGfL/XPOCcVVJkEebrgZnD4wAA//o1C1pD5xj4L6aqRi0AIJBJKSIi53TzzTfjkUcewbRp0zBr1ix4eXnhtddeEzssIiKyo2BvJdzdpBAEDjt3JUaTgNd+NVdJ3Z8aY614cyWJoT6QSoDqRh0qGrRih2M3Px8qQk2THlEBHkjrHip2OOREHh3RFSE+ShRUN2Hxrjyxw+nwKustlVJKkSNhUoqI6JLefvttGAwGLF++HEuWLIFSKf4vbSIish+JRMJh5y7op4wiZJXWQ+Uux9wb4sUO56q4u8kQG+QFwFwt1REJgoCvd+YCAB5I7QKZ1Pl3RiTH8VLK8Zex5irHDzaeRlUHTs46g0pLpZSX+O9vmJQiIrqEM2fOoLi4GCaTCXl5eWKHQ0REDhDlz2HnrkSjN+Kdlq3k54yKh5+n+K0oVysprGMPO991pgonyxrgqZDhjgFRYodDTuj2/pHoGa5CvdaA/2w4JXY4HZq1UspH/N+ZTEoREV2ETqfDvffei7vuuguvvPIKHn74YZSXl4sdFhER2Zl12Pk5JqVcwdc781BSq0GEnwceGNJF7HCuSY+WpNTx4o6ZlLJUSd2eEglfD/F3/CLnI5VK8PfxPQAAS/cW4FRZx6wadAaWmVJBrJQiInJOf/vb31BbW4v3338f8+fPR2JiIh566CGxwyIiIjvjDnyu41yjDh9vOQ0AeGZMItzdZCJHdG36tOwYeORsjbiB2MHp8npsOFEOiQQunzwk+0rtGogxPUJhNAn4vzUnxA6nw6psaY9kpRQRkRPasmUL/vOf/+Dbb7+FSqWCVCrFt99+i+3bt+OTTz4ROzwiIrKj8zOlOOjc2X24+TTqNQZ0D1Ph1r4RYodzzfpE+AEA8qqaUNOkEzcYG/tsaw4A4Mbuoega7C1yNOTs/npzd7jJJNh6sgJbstmpYA9VDRx0TkTktEaOHAm9Xo9hw4ZZb+vSpQtqa2sxe/ZsESMjIiJ7iwk0J6XyKhshCILI0dCl5FY24pv0PADACzclQdoBhmb7erpZh50fPlsrcjS2U1LbjJ8PFQEAZo3sKnI05Aq6BHnhgdQuAIBX15yAwWgSN6AORhAEa1IqkEkpIiIiIiLnER3gCakEqNcaUMHdn5zWq2tOQG8UMLJbMK5PDBY7HJtJbmnhO1xYI24gNvTVjlzojQIGxgagf7S/2OGQi3j8hgT4e7rhVHkDlu4tEDucDqWmSQ9dS6IvyJvte0RERERETsPdTYbIlh34cioaRY6GLmbHqUpsOFEG+QVDkTuK5Cg/AB1nrlRtkx5L95gTCrNHsEqKrpyvpxuevjERAPDO7ydR3dixWlrFVFxrbk8P8lZAKRd/Fh+TUkREREREF4gLNrdQMSnlfAxGE/65+jgA4L7UGMSHdKz5RH0i/QAAhwprO0T76Hd78tGoMyJJ7YOR3TpORRs5xtSB0egepkJtsx5v/ZYtdjgdRkmNBgAQ5ushciRmTEoREREREV3AMoj5TEWDyJHQH32/twAnyxrg7+mGp0Ynih2OzfUMV8FNJkFlg9blh+1r9EZ8vTMXAPDoiDhIJK4/94scSy6T4h8TewIAlu0rwNEONGtNTCUtlVJhvu4iR2LGpBQRERER0QXOV0oxKeVMapv0+Pf6kwCAp29MhK+nm8gR2Z67mwy9I8xzpfbmVYsczbX5YV8hKht0iPDzwIQ+4WKHQy5qYGwAJvUNhyAAC345BpPJ9SsIxVZca66UCvdjpRQRERERkdOJC7JUSrF9z5n8Z+NJnGvSIzHUG1MHRosdjt0MjA0EAOzNrRI5kqun0Rvx8ZbTAIDZI7vCTca3nXT1XripOzwVMhwsqMGKjCKxw3F5JTWslCIiIiIiclpdQ8yVUmfPNUFrMIocDQHA6fIGfJueDwB4cUIPyDtwkmNQXAAAYE+u61ZK/bCvEGV1WoT7uuOOAZFih0MuTu3rjidGJwAAXl+bhTqNXuSIXJulUiqMlVJERERERM4n2FsJH6UcJgHIr2oSOxwC8OqaTBhMAtK6h2B4QscemJ0S4w+pxPy9V9ry5tGVXFgl9dioeKfY3Ytc30NDYxEX5IXKBi3e33BK7HBcmmWmVDgrpYiIiIiInI9EIrHOlTpTzrlSYtucXY7N2RVwk0nwt/E9xA7H7lTubugRrgIA7HHBFr5lewtYJUU2p5BL8dIt5p//RbvycLq8XuSIXJPJJFiT3ayUIiIiIiJyUpYd+E4zKSUqrcGIf/xyHAAwfUgXxAZ5iRyRYwxqmSuVfsa1klLmKqkzAFglRbY3slsIbuwRCoNJwIJfjkMQOPS8vUrrNNAbBcilEoT6KMUOBwCTUkREREREf9JN7QMAyCrjp/Fi+mJbDvKqmhDio8STaYlih+MwwxOCAADbTla41BvvJXsKUF7PKimynxfH94BSLsXO01X45XCx2OG4nLwq8wYeUQGeTjObzzmiICIiIiJyIklh5vaprJI6kSPpvAqrm/DhZvNsor+N7w5vpVzkiBxncFwglHIpims1LlOtV6fR48NN5lk/c29IYJUU2UV0oCcevyEeAPDK6kzUNnHoeXvkVZrnJHYJ9BQ5kvOYlCIiIiIi+oPuLZVSuZWN0Oi5A58YXlmdCY3ehMFxAZiYHC52OA7l7ibDoDhzC9/WkxUiR3NlPt1yBuea9Oga7IU7WSVFdvTI9XHoGuyFygYd3vwtS+xwXEp+S6VUTKDztEIzKUVERERE9AfBPkoEeClgEoBTZa5RqdKRbM4qx++ZZZBLJfjnpF6QSCRih+RwIxLNuwy6QlKqtFaDr3bmAgDmj0tymrYg6piUchleva03AGDp3gIcLDgnckSuw9K+x0opIiIiIiInJpFI0C20Za5UKVv4HEmjN+LlVebh5g8Ni0Viy79DZ2NJSu3JqUaj1iByNG17d/1JaPQmDIjxx409QsUOhzqBwXGBmNI/EoIA/O2nYzAYTWKH5BKs7XtOtGkEk1JERERERBeRFGZJSnHYuSN9vi0H+VVNCFUp8cToBLHDEU3XYC/EBHpCZzRhc3a52OFc0smyeiw/UAgAeOHmpE5Z1Ubi+OvNSfDzdMOJkjos2pUndjhOz2QSkF9tqZRiUoqIiIiIyKl1V7cMO2ellMMUVjfhI+tw8x6darj5H0kkEtzUKwwAsPZoqcjRXJwgCHhldSZMAjC2ZyhSYgLEDok6kUBvJV64KQkA8O/1J1FU0yxyRM6trF4Djd4EmVSCCH8PscOxYlKKiIiIiOgiurUMO88qqYcgCCJH0zn8Y1UmtAYTUuMCcUufMLHDEd3NvdUAgM3Z5WjWOd/A/XXHSrH9VCUUcin+enN3scOhTuiOlChc18UfTTojFqw8zt/VbbDMR4wJ8ISbE819c55IiIiIiIicSGKoD2RSCaoadSir04odToe37lgpNpywDDfvyTYwAL0jfBHh54EmndHpBp436Qx4ZXUmAGDW9XFOtZsXdR5SqQSv3tYbcqkEG06U4VcnrSp0BifLzK3olg9cnAWTUkREREREF+GhkCEhxBsAcPhsjbjBdHB1Gj0W/HIMADBrRFckdNLh5n8kkUis1VIrDxWJHE1rH28+g+JaDSL8PDB7ZLzY4VAnlhjqg8dGmb8HF/xyDOcadSJH5Jws8xGZlCIiIiIichF9In0BAEfP1oocScf29m/ZKKvTokugJ+bewATHhSb3jwQAbDhRhmonebOdW9mIz7flAABenNADHgqZyBFRZzdnVFckhnqjskGHf7ZU8FFr1kopJ0v6MylFRERERHQJvSP9AABHipiUspeDBefw7e58AMCrt/WGuxsTHBfqHqZCrwgV9EbBKaqlTCYB8/93BDqjCdcnBmNsz1CxQyKCUi7DG1P6QCoBfsoowuYs592xUgwmk8D2PSIiIiIiV5PcUil15GwNB+jagd5owl9XHIUgAJP7R2BofJDYITmlO1KiAADL958V/fvwuz352JtbDU+FDK/e2ouzv8hp9Iv2x0NDYwEAf/3pKOo1epEjch4F1U3Q6E1QyKVON/+NSSkiIiIiokvopvaBm0yCmiY9zp7jduO2tnB7LrJK6+Hv6Ya/j+8hdjhOa2JyOBRyKTJL6nCwoEa0OAqrm/D62iwAwPxxSYgK8BQtFqKLeWZMN0QHeKKkVmP9XqXz86QSQrwhkzpXIplJKSIiIiKiS1DKZegepgLAYee2VlDVhPc2ngQA/G18DwR4KUSOyHn5eykwKTkcAPDVjlxRYjCZBDy/4giadEYM7BKA+wbHiBIHUVs8FDK8PqU3AGDJngKkn6kSOSLncKylBb1Hy98zZ8KkFBERERFRG3pHWFr4OFfKVgRBwN9+PgqN3oQhXQMxpX+E2CE5vRnDzW1Ja4+V4Oy5Joc//xfbc7DzdBXc3aR44/Y+kDpZtQWRxZCuQZg6MBoA8Nz/DqNBaxA5IvFZPlTpE+UnahwXw6QUEREREVEbkltexGcUnBM3kA5kxcEibD9VCYVcildv6825RFcgSa3C0PhAmATgi5ad7xwlo+Ac3votGwCw4JaeiA1yrpk0RH/015uTEOHngcLqZry6pnPvxicIgvVDlb4tm3c4EyaliIiIiIjacF2XAADA4cJaaPRGkaNxfeV1Gvxj1XEAwFNpCUxwtMOckfEAgO/3FqKoxjEzzuo0ejyxLAMGk4DxfcJw93VRDnleomvh4+6Gt+9IhkRi/nnZlFUmdkiiya9qQm2zHgqZ1Ol23gOYlCIiIiIialOXQE8EeSuhM5pwtIgtfNfC3LZ3DHUaA/pE+mLm8DixQ3IpQ+KDkBoXCJ3RhA82nrL78xlNAp5adgiF1c2I9PfAa5NZ1UauI7VrIGa07Mb33H+PorpRJ3JE4rC07nUPV0Ehd74UkPNFRERERETkRCQSCa7r4g8A2JdXLXI0ru2Xw8VYn1kGN5kEb97eB3IZ34601zNjEgEAP+4vxPFi+yZJ31yXhU1Z5VDKpfjonv5QubvZ9fmIbO0vY7shIcQblQ1a/O2noxAEQeyQHO58656vyJFcHP8KEBERERFdxoCWFr79eZwrdbUq6rV4+Rdz297cUQlIUjvfLlCuYECXAIzvEwaTAPz952MwmezzJnv5/kJ81jK76q07kq2z1YhcibubDO/e1RdyqQRrj5Xi50NFYofkcPvzzX+3nPVnmEkpIiIiIqLLsFRK7c+rtlsSoKNb8MsxnGvSo3uYCo+N6ip2OC7txfE94KWQIaOgBt/tybf54/92vBTPrzgKAHj8hnhMTA63+XMQOUqvCF88lZYAAHhp5XGHzWNzBg1aA461tJ0PigsUOZqLY1KKiIiIiOgyeoSp4KmQoU5jwKnyBrHDcTm/Hi3Br0dLIZdK8NbtfeDGtr1rovZ1x1/GdgMA/N+aE8gqrbPZY289WYHHl2bAaBIwuV8E5qUl2uyxicQya0RX9Iv2Q73GgCe/z4DBaBI7JIfYn1cNo0lAVIAHIvw8xA7novjXgIiIiIjoMuQyKfpHm6ul9uZWiRyNa6lu1OHFn48BAGaP7IpeEc4518TVPJDaBSO7BUNnMOGx7w7inA2GOP96tASPLN4PndGEm3ur8ebtfSCVcrA5uT65TIr37uoHH6Uc+/PP4T0HbBTgDHbnmOcgDo51ziopgEkpIiIiIqIrktrV/KJ+x+lKkSNxHYIg4G8/HUVVow6Jod6Ye0O82CF1GFKpBG/fkYxwX3fkVDbikW/2o1lnvKrHEgQBX+3IxZylB6EzmjC2Zyj+c1c/DqKnDiU60BP/mtwbAPDh5tPYdabj/y7fnWP+EGWwk7buAUxKERERERFdkWHxQQCAXaerOk3rx7X6KaMIa4+Z2/beuaMvlHKZ2CF1KEHeSnz94ED4uJurP+77cg9qm/TteozaZj3mLD2If67OhCAA9w2OwcfTUpxy63iia3VLcjjuGhAFQQCeWnYIVQ1asUOymwatAUet86QCRI7m0vibhoiIiIjoCvSK8IWvhxvqtQYcbtlimy6tqKYZC1aad9t7Ki0BvZ10O3JX103tg0UPXgdVS2Jq/AfbsT+v+rLnCYKAnzLOYsy7W63zvv4+vjv+OaknZGzZow5swcQeiA/xRnm9Fn9ZfrjDbl6x41QFjCYBXQI9EenvKXY4l8SkFBERERHRFZBJJRga39LCd6rjt31cC5NJwDM/HkK91oB+0X6YNYK77dlTSkwAfpyViqgAD5w914zbP03HY0sOIP1MFYx/eMNdWqvBt+l5GPufbZj3w2GU1WnRJdAT/5s9BA8Pj4NEwoQUdWyeCjk+vKcfFHIpNmdX4PPtOWKHZBcbT5QDAG5IChU5krbJxQ6AiIiIiMhVDIsPxq9HS7HjdAWebNlinP7sq5252J1TDQ83Gd69sy9nEzlAklqFNU8Mx/+tzsTyA2fx69FS/Hq0FB5uMsQEekIhl6KsToOyuvPtSl4KGR4bFY8Zw2Lh7sbWSuo8ktQqLLilB/720zG8uS4LfSJ8MaSlRbsjMJkEbM6uAADckBQicjRtY1KKiIiIiOgKDU8wv2nJKKhBg9YAbyVfTv9Rdmk93vwtGwDw4oQe6BLkJXJEnYfK3Q1v3p6Mh4bFYtHOPPx6tAR1GgOySuutx0gkQJ9IP0xMDscdAyKhcncTMWIi8dwzMBoH82vwv4Nn8fj3GVj1+DCE+3mIHZZNHC2qRWWDFl4KGQbGOu88KYBJKSIiIiKiKxYV4IkugZ7Iq2rCjlOVGNdLLXZITkVnMGHeD4egM5hwQ1IIpg6MEjukTilJrcLrU/rg1dt6I6+qEWfPNUNvMCHYR4kuQV7w9WAiikgikeDV23rhREkdMkvqMHvJQfz46OAOsSHDhhNlAIBhCUFOv2mBc0dHRERERORkLPM51meWiRyJ83lzXRYyS+rg7+mG16f05nwikcmkEnQN9saIxGCk9QhFcpQfE1JEF3B3k+Gz+1Lg6+GGw4U1+OeqTLFDumaCIGDV4WIAwE29wkSO5vKYlCIiIiIiaocxPc1JqY1ZZTAYTSJH4zw2ZZVh4Y5cAMCbtycjxMdd5IiIiC4vKsAT/7m7LyQSYMmeAny/t0DskK7J0aJa5FU1wd1Niht7OPeQc4BJKSIiIiKidhkQ4w8/TzfUNOmxP/+c2OE4hdJaDf6y/AgA4MGhXVzijRARkcWobiF4Oi0RAPDiz8ew64zr7rBqqZIa3T0UXi4w95BJKSIiIiKidpDLpNbdjNjCBxhNAp76IQPVjTr0DFfh+ZuSxA6JiKjd5t4Qj4nJ4TCYBMz+7iByKhrEDqndDEYTVh0uAQDc0idc5GiuDJNSRERERETtNKalEuj3zFIIgiByNOL6aPNp7M6phqdChg+m9usQQ4KJqPORSCR48/Y+6Bfth9pmPWYs3o+aJp3YYbXLluwKlNZp4O/phpHdgsUO54owKUVERERE1E7XJwZDKZeisLoZx4vrxA5HNHtzq/GfDScBAP93ay/EBXuLHBER0dVzd5Ph8/sGIMLPA7mVjXj02wPQ6I1ih3XFluzJBwDcMSAK7m6u8QEBk1JERERERO3kqZBjdHdzC9/KQ0UiRyOOygYtnvg+AyYBmNw/ApP7R4odEhHRNQv2UeLL6QPgrZRjT241nlp2CEaT81fEFlY3YcvJCgDA1IHRIkdz5ZiUIiIiIiK6CpP6RgAAfjlc7BJvWGzJYDTh8aUZKK3TIC7YC69M6iV2SERENpOkVuHz+1OgkEmx7ngp/v7zMadv1V68Kw+CAAyND0RskJfY4VwxJqWIiIiIiK7CyG7BULnLUVanxZ6cKrHDcai3fs9Gek4VvBQyfH5fikvs8ERE1B5Dugbh/al9IZUA3+8twL/XnxQ7pEs616jDkj0FAICHh8eJHE37MClFRERERHQVlHIZbu4dBgBYeahY5GgcZ+3REny2NQcA8ObtyYgP8RE5IiIi+xjXKwz/d2tvAMAHm07jo82nRY7o4r7elYdmvRE9w1UYmegaA84tmJQiIiIiIrpKlha+X4+WoElnEDka+ztd3oC/LD8MAHhkeCzG9wkTOSIiIvu6Z1A0nhvXDQDw1m/ZTpeYOteow9c7cwEAc0bFQyKRiBxR+zApRURERER0lQbFBiA6wBP1WgNWHy4ROxy7atAaMOu7A2jUGTEoNgDzxyWJHRIRkUM8NjIefxmTCMD5ElPvbTyFeo0BSWofjO2pFjucdmNSioiIiIjoKkmlEtwzyLzL0ZK9BSJHYz9Gk4Anvs/A6fIGhKqU+PCe/pDL+FaCiDqPuTcktEpM/Xv9SdGHn58ub8C3u/MBAC9O6AGZ1LWqpAAmpYiIiIiIrskdKZFwk0lwuLAGx4pqxQ7HLl5fewKbssqhlEvx2X0DEOyjFDskIiKHm3tDAp4da27le3/jKfz1p2Oi7b5qMgn464qjMJoEpHUPwdD4IFHiuFZMShERERERXYNAbyXG9TLPVlqyJ1/kaGzvh30F+GK7eV7J23cko2+Un7gBERGJaM6oePzfrb0gadmVb/Z3B9CsMzo8jkW78rA3rxpeChkW3NLT4c9vK0xKERERERFdo3tbWvhWHCxCZYNW5GhsJ/1MFf720zEAwFNpCbglOVzkiIiIxHfv4Bh8Mq0/FHIpfs8sw+2f7sLZc00Oe/7jxbV4Y10WAOCv47sjKsDTYc9ta0xKERERERFdo4GxAUiO9IXWYMLiXXlih2MTZyoaMHvJARhMAib0CcOToxPEDomIyGmM6xWG72YMQqCXAseL6zDxw51IP1Nl9+etbtRh5jcHoDWYMKpbMO4ZGG3357QnJqWIiIiIiK6RRCLBrBFdAQDfpOejUWsQOaJrU1anwf1f7kVNkx7JUX54+45kl9tmnIjI3gbGBuCXx4ehZ7gK1Y06TFu4G/9efxJ6o8kuz1ev0eOhRftQVNOMmEBP/Oeufi7/u5lJKSIiIiIiGxjTU43YIC/UNuuxdI/r7sRX26zHA1/tRVFNM2KDvPDVAwPg7iYTOywiIqcU4eeB/80egin9I2ESzAPQb/9kF06X19v0eepaElKHCmvg5+mGL+4fAF9PN5s+hxiYlCIiIiIisgGZVIJZI+IAAJ9sPYN6jV7kiNpPozfikW/2I6u0HsE+Snzz0EAEenOnPSKitri7yfDOncl4f2o/qNzlOHy2FuP+sx3/+vUEGmxQOZtX2YjJH+/Cvrxz8HGX47sZg5AY6mODyMXHpBQRERERkY1M6R+JuCAvVDfqsLBlxzpXoTea8Pj3GdibWw1vpRyLHrzOpYfnEhE52sTkcKx76nqkdQ+BwSTg8205GPnWZny69cxVJadMJgHf7c7H+Pe343R5A9Qqd3z/yGD0ivC1Q/TikAiCIIgdBBERERHRH9XV1cHX1xe1tbVQqVRih3PF1hwpwZylB+GlkGHrc6MQ5AKVRgajCU8sy8CvR0uhkEuxaPp1GBIfJHZYREQua1NWGf65KhN5VeZd+VTuctzaLwJT+keid4QvpNJLz4Jq1hnx2/FSfLzlNE6WNQAAruvij4/u6Y8QlbtD4r9WV/o3nEkpIiIiInJKrpqUEgQBkz7aiSNna3H3dVF4fUofsUNqk8FowrwfD2PV4WIoZFJ8dn8KRnULETssIiKXpzeasPJQMT7afBq5lY3W2wO9FBgYG4CEUB+E+7rD3U2GZr0RpbUaHC2qxe6cKjTpjAAAH3c55qUlYvqQLm0mspwNk1JERERE5NJcNSkFAPvyqnHHp+kAgP/NTkVKTIDIEV2cwWjCs/89gp8yiuAmk+CTaSlI6xEqdlhERB2K0SRg5+lKLD9wFhtPlFkTTm2JCvDAHSlReGBIF/h6uN5AcyaliIiIiMiluXJSCgCe++9h/Lj/LJLUPlj1+DC4yZxrnKtGb8STyzLw2/EyyKQSfHRPf4zrpRY7LCKiDk1nMCGj4BwOn63BmfJGVDRoodEb4eEmQ5C3EklhPkiJ8UfvCF9IJK5TGfVHTEoRERERkUtz9aRUdaMOo9/ZgnNNejw5OgHzbkwUOySrBq0BM7/Zj11nqqCQSfHBPf0wticTUkREZBtX+jfcuT6uISIiIqIrVl1djWnTpkGlUsHPzw8zZsxAQ0NDm+doNBrMmTMHgYGB8Pb2xpQpU1BWVtbqmIKCAowfPx6enp4ICQnBs88+C4Oh9a5BW7ZsQf/+/aFUKhEfH49Fixa1ut9oNOLFF19EbGwsPDw80LVrV7zyyivoTJ+HBngp8PLEngCADzadwv68apEjMquo12LaF7ux60wVvBQyLHrwOiakiIhIFExKEREREbmoadOm4fjx41i/fj1Wr16Nbdu2YebMmW2eM2/ePKxatQrLly/H1q1bUVxcjMmTJ1vvNxqNGD9+PHQ6HXbt2oXFixdj0aJFeOmll6zH5ObmYvz48Rg1ahQOHTqEp556Cg8//DB+++036zFvvPEGPvnkE3z44Yc4ceIE3njjDbz55pv44IMPbL8QTmxS3wjc1i8CJgF4ctkhVDfqRI0ns7gOt360E4fP1sLf0w1LHxnMXfaIiEg0bN8jIiIickEnTpxAjx49sG/fPgwYMAAAsG7dOtx88804e/YswsPD/3RObW0tgoODsXTpUtx+++0AgKysLHTv3h3p6ekYPHgw1q5diwkTJqC4uBihoeaB159++inmz5+PiooKKBQKzJ8/H2vWrMGxY8esj3333XejpqYG69atAwBMmDABoaGh+PLLL63HTJkyBR4eHvjuu+8uek1arRZardb633V1dYiKinLZ9j2Leo0e49/fgYLqJgyMDcB3MwZBIXf8Z8O/Hy/FUz8cQpPOiLggLyx8YADigr0dHgcREXV8bN8jIiIi6sDS09Ph5+dnTUgBQFpaGqRSKfbs2XPRcw4cOAC9Xo+0tDTrbUlJSYiOjkZ6err1cXv37m1NSAHA2LFjUVdXh+PHj1uPufAxLMdYHgMAhgwZgo0bN+LkyZMAgMOHD2PHjh246aabLnlNr732Gnx9fa1fUVFRV7ocTs3H3Q0LHxgAH6Uce3Or8defjsJkctznwnqjCa+tPYGZ3x5Ak86IYfFB+OmxoUxIERGR6JiUIiIiInJBpaWlCAkJaXWbXC5HQEAASktLL3mOQqGAn59fq9tDQ0Ot55SWlrZKSFnut9zX1jF1dXVobm4GADz//PO4++67kZSUBDc3N/Tr1w9PPfUUpk2bdslreuGFF1BbW2v9KiwsvMwquI7EUB98cE8/SCXAfw+cxYsrjzkkMVVY3YQ7P0vHZ1tzAADTh3TB1w9eB19P19tenIiIOh4mpYiIiIicyPPPPw+JRNLmV1ZWlthhXtaPP/6IJUuWYOnSpTh48CAWL16Mt99+G4sXL77kOUqlEiqVqtVXRzKyWwjeviMZEgmwZE8B5v/vCHQGk12ey2gSsGhnLsb9ZxsyCmrg4y7HJ9P64+WJPeEm41sAIiJyDnKxAyAiIiKi85555hlMnz69zWPi4uKgVqtRXl7e6naDwYDq6mqo1RffSU2tVkOn06GmpqZVtVRZWZn1HLVajb1797Y6z7I734XH/HHHvrKyMqhUKnh4eAAAnn32WWu1FAD07t0b+fn5eO211/DAAw+0eX0d2eT+kTAJwHP/PYzlB84iv7oJH0/rjyBvpc2e43BhDV5edRwZBTUAgAEx/nj3rr6ICvC02XMQERHZApNSRERERE4kODgYwcHBlz0uNTUVNTU1OHDgAFJSUgAAmzZtgslkwqBBgy56TkpKCtzc3LBx40ZMmTIFAJCdnY2CggKkpqZaH/fVV19FeXm5tT1w/fr1UKlU6NGjh/WYX3/9tdVjr1+/3voYANDU1ASptHVFjkwmg8lkn8ogV3J7SiQCvRR4/PsM7M2txth3t+GVW3vhpl5qSCSSq37c0+UNeOf3bKw9Zm6z9FbK8fxNSbhnYDSk0qt/XCIiInvh7ntERERELuqmm25CWVkZPv30U+j1ejz44IMYMGAAli5dCgAoKirC6NGj8c0332DgwIEAgNmzZ+PXX3/FokWLoFKp8PjjjwMAdu3aBQAwGo3o27cvwsPD8eabb6K0tBT33XcfHn74YfzrX/8CAOTm5qJXr16YM2cOHnroIWzatAlPPPEE1qxZg7FjxwIApk+fjg0bNuCzzz5Dz549kZGRgZkzZ+Khhx7CG2+8cUXXd6U797iqU2X1ePz7DGSV1gMABnYJwFM3JiA1LvCKk1N6owk7TlVicXoetmRXAAAkEmByv0g8O7Yb1L7udoufiIjoUq70bziTUkREREQuqrq6GnPnzsWqVasglUoxZcoUvP/++/D2Nu+qlpeXh9jYWGzevBkjR44EAGg0GjzzzDP4/vvvodVqMXbsWHz88cetWv7y8/Mxe/ZsbNmyBV5eXnjggQfw+uuvQy4/X2S/ZcsWzJs3D5mZmYiMjMSLL77Yqu2wvr4eL774In766SeUl5cjPDwcU6dOxUsvvQSFQnFF19fRk1IAoDOY8OGmU/hsWw60LfOl4oK8cFNvNYZ2DUKi2geBXgprkqpZZ8TZc03IKKzB3txqbDhRhpomPQBzMiqteyieGZOIJHXHXC8iInINTEoRERERkUvrDEkpi5LaZny0+TR+OliERp2x1X3ublIo5TKYBAH1GsOfzg30UmBi33A8kNoFXYK8HBUyERHRJTEpRUREREQurTMlpSwatQasO1aKHacrsTe3GsW1zfjjq3VPhQy9wn3RL9oPI7uFYGBsAGScGUVERE7kSv+Gc9A5EREREZGT8FLKMSUlElNSIgEAWoMRZbVa6FsGxAd5K6Fyl1/TQHQiIiJnwaQUEREREZGTUspliA70FDsMIiIiu5Be/hAiIiIiIiIiIiLbYlKKiIiIiIiIiIgcjkkpIiIiIiIiIiJyOCaliIiIiIiIiIjI4ZiUIiIiIiIiIiIih2NSioiIiIiIiIiIHI5JKSIiIiIiIiIicjgmpYiIiIiIiIiIyOGYlCIiIiIiIiIiIodjUoqIiIiIiIiIiByOSSkiIiIiIiIiInI4JqWIiIiIiIiIiMjhmJQiIiIiIiIiIiKHY1KKiIiIiIiIiIgcjkkpIiIiIiIiIiJyOCaliIiIiIiIiIjI4ZiUIiIiIiIiIiIih2NSioiIiIiIiIiIHI5JKSIiIiIiIiIicjgmpYiIiIiIiIiIyOGYlCIiIiIiIiIiIodjUoqIiIiIiIiIiByOSSkiIiIiIiIiInI4JqWIiIiIiIiIiMjhmJQiIiIiIiIiIiKHY1KKiIiIiIiIiIgcjkkpIiIiIiIiIiJyOCaliIiIiIiIiIjI4ZiUIiIiIiIiIiIih2NSioiIiIiIiIiIHI5JKSIiIiIiIiIicjgmpYiIiIiIiIiIyOGYlCIiIiIiIiIiIodjUoqIiIiIiIiIiBxOLnYAREREREQXIwgCAKCurk7kSIiIiKg9LH+7LX/LL4VJKSIiIiJySvX19QCAqKgokSMhIiKiq1FfXw9fX99L3i8RLpe2IiIiIiISgclkQnFxMXx8fCCRSFrdV1dXh6ioKBQWFkKlUokUoWvhml0drlv7cc3aj2vWflyz9nPkmgmCgPr6eoSHh0MqvfTkKFZKEREREZFTkkqliIyMbPMYlUrFNyPtxDW7Oly39uOatR/XrP24Zu3nqDVrq0LKgoPOiYiIiIiIiIjI4ZiUIiIiIiIiIiIih2NSioiIiIhcjlKpxIIFC6BUKsUOxWVwza4O1639uGbtxzVrP65Z+znjmnHQORERERERERERORwrpYiIiIiIiIiIyOGYlCIiIiIiIiIiIodjUoqIiIiIiIiIiByOSSkiIiIiIiIiInI4JqWIiIiIyClVV1dj2rRpUKlU8PPzw4wZM9DQ0NDmORqNBnPmzEFgYCC8vb0xZcoUlJWVWe+vqqrCuHHjEB4eDqVSiaioKMydOxd1dXX2vhyHsMeaHT58GFOnTkVUVBQ8PDzQvXt3vPfee/a+FIexx5oBwBNPPIGUlBQolUr07dvXjldgfx999BG6dOkCd3d3DBo0CHv37m3z+OXLlyMpKQnu7u7o3bs3fv3111b3C4KAl156CWFhYfDw8EBaWhpOnTplz0twOFuv2YoVKzBmzBgEBgZCIpHg0KFDdoxePLZcN71ej/nz56N3797w8vJCeHg47r//fhQXF9v7MhzK1t9rL7/8MpKSkuDl5QV/f3+kpaVhz549doufSSkiIiIickrTpk3D8ePHsX79eqxevRrbtm3DzJkz2zxn3rx5WLVqFZYvX46tW7eiuLgYkydPtt4vlUoxadIk/PLLLzh58iQWLVqEDRs2YNasWfa+HIewx5odOHAAISEh+O6773D8+HH87W9/wwsvvIAPP/zQ3pfjEPZYM4uHHnoId911l71Cd4gffvgBTz/9NBYsWICDBw8iOTkZY8eORXl5+UWP37VrF6ZOnYoZM2YgIyMDt956K2699VYcO3bMesybb76J999/H59++in27NkDLy8vjB07FhqNxlGXZVf2WLPGxkYMGzYMb7zxhqMuw+FsvW5NTU04ePAgXnzxRRw8eBArVqxAdnY2Jk6c6MjLsit7fK8lJibiww8/xNGjR7Fjxw506dIFY8aMQUVFhX0uQiAiIiIicjKZmZkCAGHfvn3W29auXStIJBKhqKjooufU1NQIbm5uwvLly623nThxQgAgpKenX/K53nvvPSEyMtJ2wYvEkWv22GOPCaNGjbJd8CJxxJotWLBASE5OtnnsjjJw4EBhzpw51v82Go1CeHi48Nprr130+DvvvFMYP358q9sGDRokPProo4IgCILJZBLUarXw1ltvWe+vqakRlEql8P3339vhChzP1mt2odzcXAGAkJGRYdOYnYE9181i7969AgAhPz/fNkGLzBFrVltbKwAQNmzYYJug/4CVUkRERETkdNLT0+Hn54cBAwZYb0tLS4NUKr1kG8GBAweg1+uRlpZmvS0pKQnR0dFIT0+/6DnFxcVYsWIFRowYYdsLEIGj1gwAamtrERAQYLvgReLINXNFOp0OBw4caHWtUqkUaWlpl7zW9PT0VscDwNixY63H5+bmorS0tNUxvr6+GDRoUIdYP3usWWfgqHWrra2FRCKBn5+fTeIWkyPWTKfT4fPPP4evry+Sk5NtF/wFmJQiIiIiIqdTWlqKkJCQVrfJ5XIEBASgtLT0kucoFIo/vdkIDQ390zlTp06Fp6cnIiIioFKpsHDhQpvGLwZ7r5nFrl278MMPP1y2xc0VOGrNXFVlZSWMRiNCQ0Nb3d7WtZaWlrZ5vOV/2/OYrsQea9YZOGLdNBoN5s+fj6lTp0KlUtkmcBHZc81Wr14Nb29vuLu7491338X69esRFBRk2wtowaQUERERETnM888/D4lE0uZXVlaW3eN49913cfDgQaxcuRJnzpzB008/bffnvFrOsmYAcOzYMUyaNAkLFizAmDFjHPKcV8OZ1oyIxKfX63HnnXdCEAR88sknYofj9EaNGoVDhw5h165dGDduHO68885Lzqm6VnK7PCoRERER0UU888wzmD59epvHxMXFQa1W/+kFsMFgQHV1NdRq9UXPU6vV0Ol0qKmpaVXFUlZW9qdz1Go11Go1kpKSEBAQgOHDh+PFF19EWFjYVV2XPTnLmmVmZmL06NGYOXMm/v73v1/VtTiKs6yZqwsKCoJMJvvTzoJtXatarW7zeMv/lpWVtfp5Kysrc/ldCgH7rFlnYM91sySk8vPzsWnTpg5RJQXYd828vLwQHx+P+Ph4DB48GAkJCfjyyy/xwgsv2PYiwEopIiIiInKg4OBgJCUltfmlUCiQmpqKmpoaHDhwwHrupk2bYDKZMGjQoIs+dkpKCtzc3LBx40brbdnZ2SgoKEBqauolYzKZTAAArVZro6u0LWdYs+PHj2PUqFF44IEH8Oqrr9rvYm3EGdasI1AoFEhJSWl1rSaTCRs3brzktaamprY6HgDWr19vPT42NhZqtbrVMXV1ddizZ0+HWD97rFlnYK91sySkTp06hQ0bNiAwMNA+FyACR36vmUwm+/2NtMv4dCIiIiKiazRu3DihX79+wp49e4QdO3YICQkJwtSpU633nz17VujWrZuwZ88e622zZs0SoqOjhU2bNgn79+8XUlNThdTUVOv9a9asEb766ivh6NGjQm5urrB69Wqhe/fuwtChQx16bfZijzU7evSoEBwcLNx7771CSUmJ9au8vNyh12Yv9lgzQRCEU6dOCRkZGcKjjz4qJCYmChkZGUJGRoag1Woddm22sGzZMkGpVAqLFi0SMjMzhZkzZwp+fn5CaWmpIAiCcN999wnPP/+89fidO3cKcrlcePvtt4UTJ04ICxYsENzc3ISjR49aj3n99dcFPz8/YeXKlcKRI0eESZMmCbGxsUJzc7PDr88e7LFmVVVVQkZGhrBmzRoBgLDs/9u7d5C4tigMwDspZkIQxcYXopWx0IBFEKymsB+1tAq2SS0hhdhZimBhmcImiGW08gWCig80aGMhEYRYSLBQGLBw3Spy5Xo7Z88N9/vgNGdPsdZi9sD87Dnz9WscHh7G5eVl9v6q5bnndnd3F+VyOdrb2+Po6OjR59eftg//zXPP7Pb2Nj5//hzb29txfn4e+/v7MTY2FsViMU5OTqrSg1AKAID/pF+/fsXo6GjU1dVFfX19jI2Nxc3NzcP6779GX19ff7hXqVTiw4cP0djYGK9fv46RkZFHX9rW1tZiYGAgGhoa4tWrV9HV1RWfPn2K6+vrjJ1VTzVmNjk5GSmlf1ydnZ0ZO6ueaswsIqJUKj05tx8/fmTq7PnMzs5GR0dHFAqF6O/vj52dnYe1UqkU79+/f/T6hYWFePPmTRQKhejp6YmlpaVH6/f39zExMRHNzc1RLBZjcHAwTk9Pc7SSzXPP7MuXL0++nyYnJzN0k89zzu333n3q+vt+/tM958wqlUqMjIxEW1tbFAqFaG1tjXK5HLu7u1Wr/0VERHXOYAEAAADA0zxTCgAAAIDshFIAAAAAZCeUAgAAACA7oRQAAAAA2QmlAAAAAMhOKAUAAABAdkIpAAAAALITSgEAAACQnVAKAAAAgOyEUgAAAABkJ5QCAAAAIDuhFAAAAFlcXV2llpaWNDU19XBva2srFQqFtLq6WsPKgFp4ERFR6yIAAAD4f1heXk7Dw8Npa2srdXd3p76+vjQ0NJSmp6drXRqQmVAKAACArD5+/JhWVlbSu3fv0vHxcdrb20vFYrHWZQGZCaUAAADIqlKppN7e3nRxcZEODg7S27dva10SUAOeKQUAAEBWZ2dn6efPn+n+/j6dn5/XuhygRpyUAgAAIJu7u7vU39+f+vr6Und3d5qZmUnHx8epqamp1qUBmQmlAAAAyGZ8fDwtLi6m79+/p7q6ulQqlVJDQ0P69u1brUsDMvPzPQAAALLY2NhIMzMzaX5+PtXX16eXL1+m+fn5tLm5mebm5mpdHpCZk1IAAAAAZOekFAAAAADZCaUAAAAAyE4oBQAAAEB2QikAAAAAshNKAQAAAJCdUAoAAACA7IRSAAAAAGQnlAIAAAAgO6EUAAAAANkJpQAAAADITigFAAAAQHZ/AY4/tJ8O8jXQAAAAAElFTkSuQmCC", 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", 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", 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", 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ylRdCCCGE6MTCw8PR6XQUFh5ewVNYWEh0dPRR7xMdHX3M2zf+77Fu888//7Bq1Sq8vLzQ6/WkpKgr44cPH84VV1xx1Ot6eXkRGBh42H/upLk38oN8PPh01gguHpWAosDjc3by9r97nRuc6PQaTBb2FKpVe0MSgl0bzDFcMiqRQG89+0pqmzYFio5jY3Y5Hyy1te2dPZBQP0+HXq/eqCb9fTx0Dr2OcF+SlBJCCCGE6MQ8PT0ZNmwYf//9d9PfWa1W/v77b8aMGXPU+4wZM+aw2wMsXLiw6fbdu3cnOjr6sNtUVVWxZs2aptu88cYbbNmyhc2bN7N582bmzp0LqJsAn376abt+jI4W6u8FQFmtsdnbeOi0PD1jAHdMVrdTvTh/N68s2C1zUoTd7DpQhcWqEO7vSXSgt6vDaZafl56LRiYA8IlUDXYoRrOV+37ailWBs4fEcmr/o79xYU/1tk2NjVv4RNejd3UAQgghhBDCse68806uuOIKhg8fzsiRI3nttdeora1l1qxZAFx++eXExsby7LPPAnDbbbdx4okn8vLLLzNt2jS+++471q9fzwcffACARqPh9ttv56mnnqJnz550796dhx9+mJiYGGbMmAFAQkLCYTH4+/sD0KNHD+Li4pz0kdtHuL9aKVBQ1XDM22k0Gm6b3BMvDy3P/ZXGG//sxWRVuHdKbzSNg1OEaKPt+erg/wGxQW7/eLpsTCIfLstkxd5SdhdU0zs6wNUhiRb4cFlmU9veo2f2c8o1641qUspbKqW6LElKCSGEEEJ0chdccAHFxcU88sgjFBQUMHjwYObNm9c0qDw7Oxut9mAB/dixY/nmm2946KGHePDBB+nZsye//vorAwYcnC1y7733Ultby3XXXUdFRQXjx49n3rx5eHu7bwVHW6VEqgm1/aW1NJgsx33xdMOJPfDSa3l8zk7eXZyBv5ee/01McUaoohPbnqtudxwQE+TiSI4vLsSX0wZEM3dbAZ+u2Mdz56S6OiRxHFkltbzxdzoAD5/Rj2Bfx7btNao1qEkpP09JTXRVGkVqioUQQgghhBuqqqoiKCiIyspKl86XUhSFoU8upLzOxB+3jGdAbMuSAh8uzeTpubsAeHLGAC4bnejIMEUnN+2NZezIr+K9S4dy2oBurg7nuNZllXHee6vw0mtZ9cAkh88mEm2nKAqXf7KWZeklTOgZzhdXjXRaNd7wpxZRUmPgz1vH078DJFxFy7X0Z7jMlBJCCCGEEOIYNBpNU/vR9rzKFt/v2hOSudlWIfXIb9v5bXOeQ+ITnZ/ZYiW9sAagw7xwH54YwsDYIAxmK9+vc49NmuLoft+Sz7L0Erz0Wp6aMcBpCSmrVaG8Tp3VF+bn5ZRrCvcjSSkhhBBCCCGOY1hiCABrs8padb+7Tu3F5WMSURS464ct/Jsm28hE62WX1WG0WPHx0BEb7OPqcFpEo9Fw6Wh1ttz367Jl6L+bqqwz8eQfOwG4dVJPEsP8nHbtqgYTFqv6uAjx83DadV1JURTm7yjg6s/WMfX1Zbz1T3qX/96QpJQQQgghhBDHMbJ7GKC2JLWGRqPhsTP7c/aQWMxWhf99s7FV1VZCAOwtUqukkiP80Grde8j5oc5IjcHPU0dWaR2rMktdHY44ilcX7aGkxkjPSH+unZDs1GuX2jaaBnjp8dJ3/kHnRdUNXPHpOq7/cgN/pxWx60AVLy3Ywy+bunYVrSSlhBBCCCGEOI6hCcFoNZBTVk9+RX2r7qvVanjh3FTGp4RTZ7Rw1WfrWn2G6Nr2FqtJqcah+x2Fn5ee6UNiAfhurbTwuZu0giq+XL0fgMfP6o+n3rnpgTJbUirUv/PPG9uaW8FZb65g6Z5iPPVabjixB+cMVTfRzt9R4OLoXEuSUkIIIYQQQhxHgLcHg+KDAViyp7jV9/fQaXnn0qH0ivKnqNrAVZ+to7rBZOcoRWfVWCmVEtGxklIAF41QW/jmbS9oSkII11MUhcd/34nFqjB1QDRjU8KdHkNBZQMAEf6de57Uyr0lXPD+agqqGugR4cfcWydw/9Q+TO4bCUBJTdf+vpCklBBCCCGEEC0wsbf6AuKfNs6FCvT24JMrRxAR4EVaQTX/+2YTJovVniGKTiqjqGNWSgEMjAtiQGwgRouV2RtzXR2OsJm3vYBVmaV46bU8eHpfl8TQWDEaG9Ix5qS1xdI9xcz6bB31JgsTeobz6//GNX0fN5gtAPh6dv7WxWORpJQQQgghhBAtcHIfNSm1Ym8JBtuLidaKC/HlkytG4OOhY+meYh79fUeXH3Irjm9fSS0AyR2wUgrgQlu11A/rc+Tx7gYaTBae+nMXANef2IP4UF+XxNGUlOogw/tba1l6Mdd8vh6D2crkvpF8dMVwArwPDnTPK1c//s5eKXY8kpQSQgghhBCiBfrHBBIZ4EWd0cLafa0beH6ogXFBvHnRELQa+GZNNl/ZZroIcTSV9SaqGswAxHXQipIzB8Xgqdeyp7CGnQeqXB1Ol/f+kkzyKuqJCfLmxhN7uCyOPFtSKqYTJqW25VZyw5cbMFqsTOkfxTuXDDtimPvuQrUCsld0gCtCdBuSlBJCCCGEEKIFNBpNU7XUvO3tG0w7uV8U953WB4DH5+xkVYZsJhNH11hNEebniZ+X3sXRtE2Qj0fT/JxfNnbtTWOull9Rz7tL9gLw4LS++LiwdSyvQp0p1dna97JKarny07XUGi2MSwnjjYuGHHWI/JacCgD6dgt0coTuRZJSQgghhBBCtNDpA7sBalLK3M55UNedkMz0wTGYrQr/+2YjOWV19ghRdDI55erjoqNWSTU6e4i6aey3LflYrNLC5yovL9hDg8nKyKRQptmez1wlz/bY7kzte8XVBi7/ZC2ltUb6xwTy3qVHVkiBWiWWXVaHTqthWGKICyJ1H5KUEkIIIYQQooXG9AgjxNeD0lpju1r4QK28ev6cVAbEBlJWa+S6LzdQZzTbKVLRWeTaKqXiQlwz98deTuwVQbCvB8XVBlZmlLg6nC5pZ34Vszepw+YfnNYXjUbjslgObUvtLEmpBpOFa79YT3ZZHQmhvnw2a+RhM6QOtdpWHTswNgj/DloBaS+SlBJCCCGEEKKFPHRaThsQDcAf2w60+zxvDx0fXDaccH9Pdh2o4p6ftsogaHGYxgq6uNCO/cLdU6/ljFS1MueXTdLC5wrPzUtDUeCM1G4Mjg92aSyNw/ujAr06bFvqoRRF4cHZ29icU0GQjwefXzWSiIDmB5j/u1vd4jq2R5izQnRbkpQSQgghhBCiFaYNjAHs08IH6pDfdy8dhodOw59bD/DO4ox2nyk6j85SKQUHW/jmbS+QqkAnW5ZezNI9xXjoNNwzpberwyGzWB3y3T3cz8WR2MeHyzKZvSkPnVbDO5cMPebHZTBbWLy7GIBT+kU5K0S3JUkpIYQQQgghWmF0ciihfp6U1RpZYacB5SOSQnn8rAEAvLRgd9O76EIUVqnDoLsFers4kvYbmhBMQqgvdUYL/6TJY9xZrFaFZ+amAXDp6EQSw1yfCMosViulkiP8XRxJ+/2bVsSzf6mf34en9WVcSvgxb78qo5Qag5nIAC8GxQU7IUL3JkkpIYQQQgghWkGvO9iG9POGXLude/GoBC4elYCiwB3fbya3XAafCyiqVpNSkYHNtwJ1FBqNpmlZwF/b2rfBUrTcr5vz2HWgigBvPbee3NPV4QCQWaJWSiV38EqpvUU13PrtJhQFLhoZzxVjk457nwU7CwF1C6tW67q5Xu5CklJCCCGEEEK00rnD1Dak+TsKqGow2e3cR8/sx6C4ICrqTNz09UYMZovdzhYdj8WqUFJjBCAyoONXSgFNG9/+SSui3iiPb0drMFl4af5uAG46KYUQP08XR6Q6WCnVcZNStQYzN3y1gWqDmZG2atfjDY83mq38ZZtHeFr/aGeE6fYkKSWEEEIIIUQrDYwNomekPwazlT+3tn/geSMvvY63LxlKsK8HW3MreWLOTrudLTqeslojFquCRgPh/u6RTGivAbGBxIX4UG+ysFjaVB3u85VZ5Fc2EBPkzaxxSa4OB1DbCRsHnSeHd8z2PUVRuH/2NvYW1RAZ4MXblwzFU3/89MrSPcWU15mICPCSIec2kpQSQgghhBCilTQaTVO11E92bOEDdaD1axcMRqOBr9dk88sm+54vOo7G1r0wP0/0us7x0k2j0TRVS/1phw2WonlVDaamxQl3ntobbw+diyNS5VXUYzBb8dBpiAvpmFslv1y9nzlb8tFpNbx9ydBjbto71C+b1c2TZw2K6TTf0+0lnwUhhBBCCCHa4OwhsWg1sGF/edMmKXs5qXckt9hmvzwwexu7C6rter7oGIqrDQBEdJLWvUZTD2nhazBJC5+jfLJ8H5X1JnpE+HH2kFhXh9MkzfZ81iPCv0MmZjbnVPDkH2oV6wNT+zAiKbRF96tuMLHINk/Knb4ertbxHgFCCCGEEEK4gchAb07sFQHAzxvtX81026SeTOgZToPJyo1fbaDajrOrRMdQZEtKRbawCqOjGBQXRGywD3VGC0v2FLs6nE6pvNbIR8v2AXDnKb3RudFA7bQDVQD07Rbo4khar7zWyP++3ojJonBa/2iuHt+9xff9a3sBBrOVHhF+9I/peB+7o0hSSgghhBBCiDY6b3g8AD+sz8Vksdr1bJ1Ww+sXDiEmyJvMklru/WkriqLY9RrCvZXahpyH+3eupJRGo2HqAHXI81/SwucQ7y/NpMZgpm+3wKbPtbtIK1QrpfpEB7g4ktaxWhVu/34zeRX1JIX58sJ5qccdbH6oH9blADBzaFyr7tfZSVJKCCGEEEKINjqlXxQRAV4UVxua2jLsKdTPk7cvGYqHTsNf2wv4dEWW3a8h3FdFvZqUCvH1cHEk9neqbfPYv7uLMds5odvVFVU38NlKtUrqrlN6oXWjKik4WCnVp4NVSr27JIMle4rx9tDy7qXDCPRu+fflnsJq1u8vR6fVcJ5tHqFQSVJKCCGEEEKINvLQaTl/uPoC4+s12Q65xpCEEP7v9L4APPvXLrblVjrkOsL9VNapLZvBnTApNTQhmGBfDyrrTWzYX+7qcDqVdxdn0GCyMjg+mEl9I10dzmEaTJamzXt9O1Cl1Mbscl5ZuAeAJ6YPaHXr4bdr1Z8Pk/tGEhnYuWbEtZckpYQQQgghhGiHC0ckoNHA8r0lZNlebNnbFWOTmNI/CpNF4eZvN8p8qS6iwpaUCvL1dHEk9qfXaZnYW02Y/J1W5OJoOo/8inq+Xq0mQO4+tbfbtYmlF9ZgVdQq0JZurHO1qgYTt367CYtV4axBMa2udGowWZi9Ud26d9HIBEeE2KFJUkoIIYQQQoh2iA/15STbwPPGd8PtTaPR8MI5g4gN9mF/aR3/98t2mS/VBTS27wX7dL5KKaCpimfRLvu3vnZVb/27F6PFyqjuoYxLCXN1OEfYVWBr3YsOcLuE2dEoisKDs7eRW15PfKgPT509oNVx/7X9AJX1JmKDfZjQM8JBkXZckpQSQgghhBCinS4ZlQjAD+tzMJgds+I+yNeDNy4ajE6r4fct+fywPsch1xHuo6ITt+8BnNArAr1WQ2ZxbVNLl2i77NK6pmHad7lhlRTALts8qd4dpHXvxw25/LH1AHqthjcuHNKqOVKNvl2jfk0uGBHvVlsQ3YUkpYQQQgghhGiniX0iiQnyprzOxLztBQ67zrDEUO46tRcAj/6+gz22LVaic6qstyWlfDpf+x5AoLcHo5JDAfhbqqXa7c1/0jFbFU7oFcHI7qGuDueoGmfiDYwNcnEkx5dRXMOjv+0A4M5TezEkIaTVZ+wprGZtVhlaDZxv29YqDidJKSGEEEIIIdpJp9VwoW1WyJer9jv0Wjec0IMJPcNpMFm5+ZuNNJgcU5klXK+zV0oBTOoTBcDfu2SuVHvklNXxyyZ1btHtk3u6OJqjM1us7MhXK6VS49w7KWUwW7jlm03UmyyMSwnjhhN6tOmcz1ZmAeqm1uggGXB+NJKUEkIIIYQQwg4uHBGPh07D+v3lDt2Qp9VqeOX8wYT7e7GnsIbH5+x02LWE6xjNVuptCcfATjpTCmByXzUptTarrKkyTLTeu0syMFsVxqeEM7QNFT3OkFFcS73Jgp+njuRwf1eHc0zP/7WbnQeqCPH14JXzB6NtQ9tdZZ2J2RtzAZg1rru9Q+w0JCklhBBCCCGEHUQGejNtYDcAPl2xz6HXigjw4rULBqPRqMPV/9ia79DrCeerM5qb/r+fp86FkThWQpgvyRF+WKwKqzJKXR1Oh3Sgsp6f1qvJj1tOTnFxNM3bklsBwIDYoDYleZzl37QiPrE9h7903iCiAttW4fT9+mwaTFb6RAcwyk3bKd2BJKWEEEIIIYSwk6vGq++Gz9maT1FVg0OvNb5nODedpLaUPPDzNrJL6xx6PeFctUa1SspTr0Wv69wv206wbSRbll7s4kg6pveXZGK0WBnZPZRRye63ca9RYwWpO7fuldYYuOenrQBcOTaJSbZKvtayWBU+X6m2cs8al+SWQ+fdRed+dhNCCCGEEMKJUuOCGZYYgsmi8NWabIdf747JvRieGEK1wcwt327EaLY6/JrCOeoMaqVUZ66SajShZzgAy9JLXBxJx1NU3cC3a9XnmltPds9ZUo225jUmpYJdG0gzFEXhgdnbKKkx0DPSn/un9mnzWYt2FZJXUU+IrwfTB8faMcrOR5JSQgghhBBC2NFVttkhX6/e7/Ah5HqdljcuGkKQjwdbcit5bdEeh15POE9jpZSvp97FkTje6OQwPHQassvq2F9a6+pwOpQPl2ZiMFsZkhDMuBT3rZIymq3scvMh5z9tyGXBzkI8dBpevWAw3h5tTwh/tiILgItGJrTrnK5AklJCCCGEEELY0ZT+UcQEeVNaa2TOFsfPeooJ9uG5mQMBddjx6kyZy9MZNM6U8vPq/C9o/bz0DEtUh3MvlWqpFiutMfDV6oNVUu7cIransBqjxUqQjwcJob6uDucIOWV1TUsj7jilFwNi2544SyuoYlVmKTqthktHJ9orxE5LklJCCCGEEELYkV6n5bIxSQB8siILRVEcfs2pA7tx/vA4FAXu/H4zlXWyxayjqzOolVI+XaBSCmCCba7U0j0yV6qlPl6+j3qThYGxQZzUO8LV4RzT5pwKQK2ScrfkmcWqcNcPW6gxmBmeGML1J/Ro13kfL1OHpE/pH0VMsI89QuzUJCklhBBCCCGEnV00Mh5vDy27DlSxZl+ZU6756Jn9SQrzJb+ygQd/3eaUZJhwnFpj15kpBQeHna/KKMVkkdlox1NRZ+SLVeog7ZtPTnG7RM9/bcwuB2BIfLBrAzmKj5ZlsjarDD9PHa+cPxhdOzYDFlQ28OvmPACumZBsrxA7NUlKCSGEEEIIYWfBvp7MHBoHwEe2d80dzc9Lz+sXDkGv1fDn1gPM3pjnlOsKx6jrQjOlAPrHBBLi60GNwdxUVSOa99nKLGoMZvpEB3BKGzfEOdPG/WpSaqitTdNotlJrMLs8eb7rQBUvL1Bn8T1yZj8SwtrXWvjpyn2YLAojkkIYmhBijxA7PUlKCSGEEEII4QBXj++ORqNuYdpbVOOUaw6KD+aOU3oB8Mhv22VodAfWmJTy6SKVUlqthvG2ainZwndstQYzn63MAtQqKW07KnucoaTGQFZpHQCvLUpn6JML6fXQX/R/dD4DHp3PhR+s4stVWQ5fDPFfBrOFO77fjNFiZXLfKM4fHt+u86obTHxjm/F1XTtbALsSSUoJIYQQQgjhAD0i/JsqGD5cmum0695wYg9GJoVSa7Rw+/ebMUsrVIfU2MLmpe86L9nG9lC3x8mw/mP7bl0OFXUmksJ8mTqgm6vDOaZ1WWUMf2pR058351RQVmts+nOt0cLqzDIe/m0HE19azBonfu1fWbCHtIJqwvw8ee6cge1ugfxubQ7VBjM9IvyY1CfSTlF2fl3nGU4IIYQQQggnu/5E9d3yXzblUVjV4JRr6rQaXrlgEAHeejZlV/DmP3udcl1hXyazmpTy0HWdl2yjk9Wk1ObsCqdXzXQUJouVj5epSe5rT0hu1/wjR8osruGaz9dz3nurDvv7R8/sx2//G8fmR05h++NTWHjHCTw0rS8xQd4cqGzg4o/WMHfbAYfHtzqzlA9sn8fnzkkl3N+rXeeZLFY+WaG2al87Idntq9fcSdd5hhNCCCGEEMLJhiWGMCIpBKPFyqcrspx23bgQX54+eyAAb/6Tzob9zhm2LuynsVLKU9d1XtwmhfkSFeiF0WJlU3aFq8NxS79vzie/soFwfy/Osc2tcydmi5W3/klnymtLWbSr8LCk2UvnDWLWuO4Mig8m2NcTfy89PaMCuGZCMovuOpEzB8VgsSrc9t0mh84VqzWYufvHLSgKXDginlP6tX8m15wt+RywfV1mDIm1Q5RdhySlhBBCCCGEcKDG9eJfr95PdYPJadc9a1AMM4fEYlXgtu82O/Xaov2MFnUAtL4LVUppNBpGdZcWvuZYrQrvL80AYNa4JLw93GveWEZxDee8u5KXFuzBZFE4qXcEc24ej6etBXVYYvODv3099bx2wWBO7ReFyaJw5w+bHVYt9+xfu8gtryc22IeHzujX7vMUReEDW4u2O35d3F3XeYYTQgghhBDCBU7uE0lKpD/VBjPfrs126rUfn96f+FAfcsvrefS3HU69tmifxkqprtS+Bwdb+CQpdaR/dxexp7AGfy89l45OdHU4h5m/o4Dpb61gS24lAd56Xr1gEJ9eOYIGswWj2UqonydJx9lsp9NqeOHcVCIDvMgsruX7dTl2j3N5eglf2YaRv3huKv5e7d9uuTS9hLSCanw9dVw6yr2+Lh1B13qGE0IIIYQQwsm0Wg3XnZAMwMfL92E0O2/weIC3B69dMBitBmZvyuO3zXlOu7Zon67YvgcwOjkUgE05Mlfqv95bolZJXTwqgSAfDxdHo7JaFV6av5vrv9xAjcHMyO6hLLjjBM4eEodGo2Hj/nIAhiaEtGiQeLCvJ7ecnALAu4szmr4P7KG6wcR9P28F4LLRiYxNCbfLue8tVr8uF4yIJ8jXPb4uHYkkpYQQQgghhHCw6YNjiAr0orDK4PTE0LDEUG45uScAD/+6nQOV9U69vmibrlop1T3cj4gAL4xmq0PnCnU0G/aXsS6rHA+dhqvGdXd1OAA0mCzc8u0m3vpXXaZw1bjufH3NKLoF+TTdZn2WLSmVGNzic88fEU+YnycFVQ0s31tit3ifmZtGXkU98aE+3D+1j13O3LC/nFWZpei1Gq6ZkGyXM7uarvUMJ4QQQgghhAt46XVNLyQ/WJqJ1ao49fq3nJzC4PhgqhrM3PPjVqdfX7Se0ax+jTz0Xeslm0ajkRa+o3h3sTqz6OwhsUQHebs4GqisN3HFJ2v5c9sBPHQaXr1gEI+c2e+wJKrVqrA2S12yMKp7aIvP9tLrOCO1G6AOdreHpXuKm9qnXzhnEH52aNsDeNuWkJs5NJbYYJ/j3FocTdd6hhNCCCGEEMJFLhqVQICXnvSiGhbtKnTqtfU6La+cPwhvDy3L95bw5er9Tr2+aL2uWikFB1v4JCmlSi+sZtGuQjQauM62OMGVSmoMXPD+KtbsK8PfS8/ns0Zy9pAjNwGmF9VQVmvEx0PHwNjgVl3j9IFqUmpZejGK0r4kelWDifttbXtXjk1iTI+wdp3XaEd+Jf+kFaHVwI0npdjlzK6o6z3DCSGEEEII4QKB3h5cOkYdgvv2v3vb/UKrtZIj/Hnw9L6Aun0qo7jGqdcXrXMwKdW1ZkoBTRv4NmVXOHUGm7t637bZ7ZS+UaRE+rs0luJqAxd9sJq0gmoiArz4/vrRzc5mWrNPTSoOSwxp2sDXUoMTgvHSaympMbb7uerpP3aRX9lAYpgv957Wu11nHeqdf9VZUtNSY+ge7me3c7saSUoJIYQQQgjhJFeP7463h5YtuZUsS7ffrJSWunRUIhN6htNgsnLnD1sw23GIsLCvxpxlS4ZDdzbJ4X4E+3pgMFvZdaDK1eG4VFFVQ9McuutPdG2VVFF1Axd9uJr0ohqiA7354fox9I8Javb2jZVujZVvreGl1zEoPhhQk5NttXh3Ed+vz0GjgRfPHYSvp33a9vYW1TB3+wEA/jfR9dVrHZkkpYQQQgghhHCScH8vLh6pVku99c9ep19fa1u5HuitZ0tOBe/YtkYJ96OgZqW6XkpKfZwOTQgB1EHSXdmXq/djsigMSwxhWGKIy+IoqzVy8Ydr2FtUQ7cgb767bvQxq4MURWFNpm2eVHLb2uV6RwUAkFFc26b7V9abuP/nbQDMGtudka2Ya3U87y7OQFFgct8o+kQH2u3crkiSUkIIIYQQQjjRdSck46nTsjarjDUumJnTLciHJ2cMAOCNv9PZllvp9BjE8Tm5u9PtDE0IBmBDdtdNStUbLXxlm/92zXjXbdyrMZiZ9enawxJSScdpV9tbVENprRFvDy2pcc1XUx1Ljwj1Gm1t33vyj50UVDXQPdyPe6bYr20vp6yOX23VazefLLOk2kuSUkIIIYQQQjhRdJA35w1XhwI3rlJ3trMGxTBtYDfMVoU7fthMg8nikjjE8XXB7j0AhtqqgjZ14Uqp2ZtyKa8zER/qw6n9o10Sg8Fs4YYvN7Alt5IQXw++vHoUiWHHn5/U2Lo3NCEEL72uTdduTHzllNW1+r7/pBXy04ZcW9teKj6ebYvhaD5YmonFqjA+JZzBthZD0XaSlBJCCCGEEMLJbjixBzqthmXpJWzOqXD69TUaDU/NGEBEgBd7i2p4cf5up8cgjq2xUErTJRv4YFBcMDqthvzKBvIr6l0djtNZrQofL98HqK1nOq3zHwcWq8Id329m+d4SfD11fDZrZIsHra/ep7bujW5j6x6o7c6gtg62RmW9iQdmq217V4/rzvAk+7XtFVU18P36HAD+N1GqpOxBklJCCCGEEEI4WXyoL2cPiQVcM1sKIMTPkxfOSQXg4+X7WJnh/MHronldvX3Pz0tPn2h1ptDGLtjCt3hPEZnFtQR46Tl/RLxLYnj6z13M3VaAp07LB5cNbxo8fjzqPCm1UmpUO+Y4hfp5AlBeZ2zVttJn/txFYZWB5HA/7rZj2x7AR8v3YTRbGZYY0qYB7uJIkpQSQgghhBDCBW46qQcaDSzaVcjOfNdsGJvYJ5KLRiYAcM+PW6lqMLkkDtG8rtq+BzQN9t64v8K1gbjAR8vUKqkLR8bj72WfjXGt8dXq/XyyQo3h5fMHMb5neIvvm1FcS0mNES+9tsWJrKMJ8VWTUiaLQo3B3KL7rNhb0lTJ9Py5qXh72K9tr6TGwJer1BlfN09M6ZKbMR1BklJCCCGEEEK4QHKEP2ekxgDw9mLXVEsBPDStLwmhvuRV1PPEnJ0ui0P8V9fdvteoMSnV1Yad78yvYmVGKTqthivGJjn9+svSi3n09x0A3H1qL84cFNOq+zfOkxqSENyupJCX/mC6wmi2Hvf2dUYz98/eCsDlYxIZYce2PYAPl2ZSb7IwKC6Ik3pH2PXsrkySUkIIIYQQQrjI/yb2AGDutgPsLWrbhqn28vPS88r5g9Bo4KcNuczfUeCSOMTRdeVijKEJalJqR15llxrG3zhLauqAaOJCfJ167b1F1dz09UYsVoWZQ2LbNDdpxV61FXhMcsurq45Gq9XQOErLYj1++95L8/eQU1ZPbLAP957Wp13X/q+SGgNf2Kqkbp/cS6qk7EiSUkIIIYQQQrhIn+hATu0XhaLAOy7axAcwPCmU609QE2QPzt5GSY3BZbEIVVefKQUQF+JDRIAXZqvC1txKV4fjFEVVDfy+JQ+AayYkO/XalXUmrv58PdUNZoYnhvDsOQNbnXyxWBVWZqiVUq1p+WuOXqumLCzH+YbYsL+cT1eqybynzx5g95ZHqZJyHElKCSGEEEII4UK3nNwTgF8355FR7JpqKYA7TulJn+gASmuNPDB7W6sGCwvhCBqNhsG2mURbcytcGouzfLFqPyaLwvDEkKaP3RmsVoXbv9/E/tI64kJ8eP+yYXjpW996tyO/ksp6EwFeegbFBbU7LltOCrOl+ecjg9nCfT9vRVFg5tBYTuod2e7rHkqqpBxLklJCCCGEEEK40MC4ICb3jcSqwJt/p7ssDi+9jlcvGIyHTsPCnYX8ujnPZbEItXUJoAVdS51aaqya2NiW1/krpeqNFr5aoyY/rpnQ3anXfuOfdP7dXYyXXst7lw4jzN+rTecsS1db90b3CEOva1+6QVEUDLZZUseaTfXWP3vZW1RDuL8nj5zRr13XPJoPpErKoSQpJYQQQgghhIvdPrkXAL9tyWdvUbXL4ujbLZDbJqmVW4/+toPCqgaXxdLV6W1JKXMXz0oNtFXbbOsC7Xu/bMqjos5EfKgPp/SLdtp1/00r4nVbQvyZswcyILbtFU6N86TGp7S/dc9gtja1sfp4Hj0ptTO/incXZwDwxPQBBNs29tmLWiWVBUiVlKNIUkoIIYQQQggXGxAb1DRb6vW/XTdbCuCGE3swMDaIqgaztPG5kK4xKWU5/taxzmygLUGSWVJLVYPJxdE4jqIofL4yC4ArxiQ1ff0dLbu0jtu+24SiwKWjEzhnWFybz6o3WlifpW5KtMc8qXrjweH23vojUxdmi5X7ft6K2apwWv9oTh/Yrd3X/K8PlmbSYLJKlZQDSVJKCCGEEEIIN9BYLfXH1nz2FLquWkqv0/Ly+YPw1Gn5J62InzbkuiyWrqyxUqolW8c6szB/L2KDfQDY3olb+FZnlrG7sBofDx3nDY93yjUNZgs3fr2BqgYzQxKCeeSM/u06b11WGUaLlW5B3iSH+7U7vjrbxkUPneaorYAfLd/HtrxKAr31PDG9fbEfjVRJOYckpYQQQgghhHAD/WICmTogWq2WWuS62VIAvaICuOMUNUn2xJydHKisd2k8XZHONuG5q7fvAaR2gRa+xiqps4fGEuTj4ZRrPjs3jR35VYT6efLOJUPxPEo1Ums0tu6NSwm3SwKnvNYIQJDPkS15mcU1vLpwDwAPn9GPyEDvdl/vv95fkqFWScUHS5WUA0lSSgghhBBCCDehvhsPf247QFpBlUtjuXZCdwbHB1NtMHP/z9LG52weOqmUatQ4V2prJ62UyquoZ8HOAkBt3XOGhTsL+cyWCHv5vEF0C/Jp95nLbUmpCXZo3QMotSWlwv0PT0pZrQr3/7wNg9nKhJ7hnNuOlsPmFFcb+HJ148a9nlIl5UCSlBJCCCGEEMJN9I4OaJqL8tpC11ZL6XVaXjpvEJ56LUv2FPPD+hyXxtPVNM4UMnXxmVIAqbHBQOetlPpq9X6sCoxJDqN3dIDDr3egsp57ftoCwNXjuzOxT2S7zyyrNbIjX02kj+1hn6RUSbUBgIiAwzcBfr02m7VZZfh66njm7IEOSRh9sPSQKqleUiXlSJKUEkIIIYQQwo3cPqknGg3M21HAjnzXvghPifTnnlN7A/DkH7vIq5A2PmeRmVIHNQ47zy6ro6LO6OJo7KvBZOG7tdkAXDE2yeHXs1gVbvtuMxV1JgbGBnHvab3tcm5j616f6IAjkkhtVVKjJqXC/A5WSuVV1PPc3F0A3DulN/Ghvna51qGKqhqkSsqJJCklhBBCCCGEG+kZFcCZqTEAvObi2VIAV43vzrDEEGoMZu77aau08TmJzJQ6KMjXg8QwNfmwrZO18P2+JZ/yOhOxwT5M7tv+iqXjefOfdNbuK8PPU8ebFw3BS6+zy7mNSanxKfapkoJD2/fUJJeiKPzfL9uoNVoYnhjC5Q5qdXz73700mKwMSZAqKWeQpJQQQgghhBBu5tZJPdFq1Lkvrm5Z0mk1vHhuKl56Lcv3lvCNrapDOJZeZkodprFaamsnauFTFKVpwPllYxKPumHOnjZml/PG32qi+6mzB5Bkhw15oH4cS/cUAzDOTvOkAPJtlZlRtiHmv23OZ/HuYjx1Wp47JxWt1v4VTLnldU3Pcfec2luqpJxAklJCCCGEEEK4mZRIf6YPjgXglYW7XRwNJEf4c+9pfQB4+s9d5JTVuTiizq9xppTZIkkpOLiBb3snqpTasL+cHflVeOm1XDA83qHXqjdauOuHLVgVmD44hrOH2G84eHpRDfmVDXjptYxJDrPbuY3PMwlhvpTXGnnij50A3DophZRIf7td51Bv/J2OyaIwtkcYY+1Y9SWaJ0kpIYQQQggh3NCtk3qi02r4d3cx67PKXB0Os8YmMTIplDqjhXt/2opVKngcqnGmlNkqg84B+nYLBCCtoNrFkdhP4/a7GYNjCfHzPPaN2+m5v3axr6SW6EBvnjhrgF3PXry7CIDRyWF4e9inHRDUGWIACaG+PD13F2W1RnpHBXDdCT3sdo1DZRbX8PPGPADunmKfWVvi+CQpJYQQTnDHHXcwdOhQQkND8fX1pW/fvjz22GPU1NS4OjQhhBBuqnu4H+cPV6sZXpi/2+WznLRaDS+cm4qPh45VmaV8vWa/S+Pp7DxtrVxGsySl4GBSKqu0ljqj2cXRtF9hVQPzthcAjh9wviy9mM9Xqd+vL56XSpCvh13PX7xbbd07qbf95i9VNZgorzMBkFtez08bctFo4JmZA/HUOyaN8dqidCxWhUl9IhmaEOKQa4gjSVJKCCGcYN26dUyYMIHHH3+c119/nYkTJ/Lcc89x2mmnYZV3QIUQQjTj1kk98dRrWbuvjKXpJa4Oh6RwP+6fqrbxPTM3jexSaeNzlMaKkwaTxcWRuIdwfy8iArxQlM5RLfX16v2YrQojk0LpFxPosOtU1pm458etAFw+JpEJPe07uLvWYGadrZLzRDsOBW98bvH30vP0n2rb3mWjExmW6JhkUVpBFXO25gNw56m9HHINcXR6VwcghBBdwfLly4/4ux49enD33Xezdu1aRo8e7YKohBBCuLtuQT5cPjqRj5bv48X5aUxICXfIcN/WuGx0In9tP8DqzDLu/mkL31072uUxdUbeHmr9gEEqpZr0iQ6guNrArgNVHbqSxWC2NA3TdnSV1KO/b6egqoHkcD8emNrX7uevzCjFZFFICPWlu50Gp8PBeVI1BjM1BjPRgd7c48CWupcX7EFRYNrAbvSPCXLYdcSRpFJKCCGAxx57DI1Gw969e7nyyisJDg4mKCiIWbNmUVfnmHeBk5KSAKioqHDI+UIIITqHG0/qgZ+nju15VczbUeDqcNBqNbx47iB8PXWs3VfG56uyXB1Sp+Sll0qp/+rXOFfqQMeulJq3vYCSGiNRgV6c2j/Kodf5dXM+Wg28fP4gfDztN++pUeM8qZN6R9h1U1160eEjLh6f3p8Ab/u2HTbanFPBwp2FaDVwxylSJeVskpQSQohDnH/++VRXV/Pss89y/vnn89lnn/H44483/XtlZSUlJSXH/e9os6LMZjMlJSXk5+ezYMECHnroIQICAhg5cqQzP0QhhBAdTJi/F9dMSAbgpQW7MVtcXzkTH+rLg6erVRfPz0tjX0mtiyPqfLykUuoIjXOldh2ocnEk7fP1GrVK6qKRCXjoHPOSvLLOxMO/bQfghhN7MMQBlWWKojhknhQc/jWe0j+KKf2j7Xr+oV5eoG44PXtInMO2+onmSVJKCCEOMWTIEH7++WduvPFGPvzwQ84++2w+/vjjpn+fPn06ERERx/3v5ptvPuLs9evXExERQWxsLFOmTEFRFH7//XdCQ0Od+SEKIYTogK6Z0J0QXw8yi2uZvSnP1eEAcMmoBMalhNFgsnLfz7KNz95kptSRDt3A11Efb3sKq1m7rwydVsOFIxIcdp2n/txJcbWBHhF+3Dqpp0OukVFcQ15FPZ56LWOSw+169l/bD1aFPm7nbYGHWpNZyrL0Ejx0Gm6f7JjPkzg2mSklhBCHuOGGGw7784QJE/jll1+oqqoiMDCQl19+mfLy8uOeExMTc8Tf9evXj4ULF1JbW8vKlStZtGiRbN8TQgjRIgHeHtx0UgpPz93F64vSmT44pqm9y1U0Gg3PzUxlymtLWbuvjK/X7OeyMUkujakz8dJLpdR/JUf44anTUmMwk1teT0KYr6tDarWvV6tb8Cb3jSQ6yNsh11iWXsyPtm11L5yb2pTgtLfGKqlR3UPt2hq4v/Rg5eX/JvZw2OdJURReslVJXTAinvjQjvd46gwkKSWEEIdISDj8HauQELXUuby8nMDAQIYNG9bmswMDA5k8eTKgVlx98803TJ8+nY0bNzJo0KC2By2EEKJLuGxMIh8tzySvop5v1mQza1x3V4dEfKgv90/twyO/7eDZv9I4qXekvLCzE6mUOpKHTktKpD87D1Sx80BVh0tK1RrMzN6oVjpeOjrRYde4/+dtAFwxJolhiY6ryF+yp7F1L9JuZyqKwsUfrmn6852nOG64+ZI9xazLKsdLr+WWk6VKylWkfU8IIQ6h0x39XR5FUUvEy8rKKCgoOO5/lZWVx73WzJkzAfjuu+/s9wEIIYTotLw9dE1tOG//u5dag9nFEakuHZXIyKRQ6owWHvxlW9PPTNE+jUkpqZQ63MEWvo43V2rOlnyqDWaSwnwZ18O+7W6NXpy/m7yKemKDfRy6ra7OaGZNZhkAJ/ay3zyp+TsKyKuoByDY1wOdgzZ7KorCywv2AHD5mESiAh1TjSWOT5JSQgjRCjNnzqRbt27H/e+222477lkGgwGr1dqiBJYQQggBcP7weBLDfCmpMfLpin2uDgdQt/E9f24qXnoty9JL+GF9jqtD6hQa2/caTJKUOlTfbgFAxxt2rigKX61RW/cuHpWA1gHJlg37D27DfHbmQPy8HNcYtSqjFKPFSlyIDz0i/OxyZlWDiUd+29H05zNTjxyHYS/zdxSwLa8SP08dN56U4rDriOOT9j0hhGiFtsyUqqiowM/PDw+Pw9fYfvTRRwAMHz7cvkEKIYTotDx0Wu48pRe3fbeZ95dmcunoRIJ9PV0dFt3D/bj71N48PXcXT/2xixN7OW5eTlfRVCkl7XuH6R2tJqXSizrWXM4tuZVsz6vCU6/lvGHxdj/faLZy38/bUBQ4b1gcJ9ixeuloDt26p9HYJ8H2wrw0iqoNTX8eGBdkl3P/y2yx8sJ8dZbU1ROSCfVz/XNoVyZJKSGEaIW2zJRavHgxt956K+eeey49e/bEaDSybNkyZs+ezfDhw7n00ksdEKkQQojO6szUGN5dnEFaQTXvLsnggal9XR0SAFeN784f2w6wJaeC//tlGx9dMdxuL1a7Im8PGXR+ND0j1aTU/tI6DGaLywf+t9RXtgHnZwzsRogDkiAfLstkb1EN4f6e/N80xz4nKIrC37sKAZhop3lS67PK+Gp19mF/Nzg+2C5n/9ePG3LJLK4l1M+Taye4fjZfVyfte0II4WADBw5k4sSJ/Pbbb9x1113cf//9pKWl8cgjj7B48WI8PeXdGSGEEC2n1WqaZsV8uiKLfNv8FVfTaTW8eG4qnjotf6cV8dvmfFeH1KE1JluMFisWq8zpahQV6EWAlx6LVSGrpM7V4bRIZZ2JOVvU74dLRicc59atl11axxt/pwPw0LR+Dq+eTCuoJr+yAW8PLeNS2j8by2i28sBsdTj7IFt1lJ+njh4R/u0++7/qjRZeW6TOkrp5YgoB3h7HuYdwNElKCSEE8Nhjj6EoCuHhh/9gvfLKK1EUhaSkpDaf3aNHDz7//HMyMjKoq6ujvr6e7du389hjj+HnZ58efCGEEF3LyX0iGdk9FKPZyisL97g6nCa9ogK4dZI6n+WxOTsoPqQVR7SOr+fBCiDZwHeQRqMhJUpNVqQXVbs4mpb5aWMuBrOVPtEBDE0IsevZiqLwyO/bMZitjO0RxvTBjpvD1KixSmp8SnhTm2l7vL8kg/SiGsL8PDl9YDcAUuOCHTLk/LOVWRRWGYgL8XFIgtAVFEVhb1EN363N5tdNedQZ3WMJRktJUkoIIYQQQogORqPR8MDUPgD8vDHXrTaRXX9iD/p1C6SizsSjv293dTgdlpdeS+NrcnfZtOguekbaklKF7j9XSlEUvrYNOL90dKLdW1rnbS9g8e5iPHVanpwxwCkts4t2FQEwqW9Uu8/KKK7hzX/2AvDImf3IKlWr3wY5oHWvss7Eu4vVa915Sq8O0/p5LMvSiznvvVVMfmUJ98/exu3fb2bmOysxmDtOIluSUkIIIYQQQnRAQxJCOH1gNIoCz/+V5upwmnjotLx4Xip6rYa52wqYu+2Aq0PqkDQaTdP2tBpJSh2mca7U3g4w7HxVRimZxbX4eeqYMSTWrmfXGMw8PmcnADecmOyQdrf/Kq42sCW3AoBJfdo3T0pRFB6cvQ2jxcqJvSI4a1AMW3LUswfH23/I+TtL9lLVYKZPdADTB9v3a+FsRVUN3PjVBi77eC3r95fjodMwJjkMX08daQXVLE8vcXWILSZJKSGEEEIIITqoe6b0Qa/V8O/uYlZllLo6nCb9Y4K48aQeADzy23bKa40ujqhj8vNUk1J1xo5T9eAMHal97+s16vDuGUNi8fey756xVxfuoaCqgcQwX26amGLXs5vzb1oRigKpcUFEBrZvw+aPG3JZs68MHw8dT80YQIPJyu5C9Wtq70qpA5X1fLYiC4B7T+vtkNZAZ/ljaz6TXlnCX9sL0Gk1zBqXxPL7Tubb60YzJjkMgMKqjtM6LUkpIYQQQgghOqju4X5cNFKdi/LcX7tQFPcZiH3zySn0ivKnpMbIE3/sdHU4HZKfl9peJJVSh2ts39tXUovJ4r7bCYuqG5i/owBQW/fsaUd+JZ+u2AfAE9MH2GW2U0ssss2TmtSnfa17ZbVGnp27C4DbJ/ckPtSXjdnlWKwK3YK8iW5nwuu/Xl+UjsFsZURSiN02Bjpbg8nCw79u5+ZvNlHdYCY1Log5N4/n0TP7E2X7fBVUNQAQ5t9xFilJUkoIIYQQQogO7NZJPfHz1LElt5I/3ahVzkuv44VzB6HVwC+b8pqGI4uWa6ys6WiDix0tJsgHX08dJovC/lL33cD34/pczFaFoQnB9O0WaLdzrVaFh3/djlWBaandOLFXhN3OPpYGk4VltrawSX3bl9h5du4uyutM9IkO4Krx3QFYs68MgFHdQ+06G2tvUQ0/rM8B4P6pfZwyd8vecsrqOOfdlXy5Wp1PdtNJPZh941j6xRx8XFU3mEgrUCvN+sfY7/HmaJKUEkIIIYQQogOLCPDi2hOSAXhx/m6MZvepHBkcH8y1E9TYHvxlG5X1JhdH1LH4ejbOlJL2vUNptRpSbNVSe920hc9qVfh+nZoIaaxmtJdfN+exMbsCP08dj5zRz65nH8uqzFLqTRaiA73blfRYk1nKjxtyAXj67IF46NS0xNp9agvyyO5h7Q/2EC/N341Vgcl9oxiWGGrXs51hfVYZ099ewY78KkL9PPls1gjuPa0Pet3h6Zxl6SVYrAqJYb7Ehfi6KNrWs29Tqzgqq9VKfn4+AQEBHTIrK4QQQnRliqJQXV1NTEwMWq28nyfc07UTkvlqdTb7S+v4dm02V4xNcnVITe44pRcLdhayr6SWZ+fu4rlzUl0dUofROOhctu8dKSXSn625laQX1nDaAFdHc6RVmaVkl9UR4KVnWmo3u51bYzDzrG2xwS2Teja1bTlDY7XjyX0j2/y61mi28n+/qls5LxqZwLDEEAAMZgubsisAGJVsv8TRpuxy5u0oQKtRZ0l1NLM35nL/z+ow+P4xgXx4+XBign2OettfN+UBMHWA/R5vziBJKSfIz88nPj7e1WEIIYQQoh1ycnKIi4tzdRhCHJWfl57bJvfk4V+388bf6cwcGkuAt4erwwLA20PHC+emcv77q/huXQ7TUrsxoadz2o06usaZUpKUOlKvKHUD3x433cD37Vp1wPlZg2OaKt7s4c1/0imuNtA93I9Z45Lsdu7xKIrCP7uKAJjcjta9D5dlsreohjA/T+4/rU/T32/NrcRgthLu70lyuF+74wU15ufnqQm8mUPjmh4zHYHVqvDywt28/W8GAKf1j+aVCwY1+1gqrzXy727163O2nbc8OpokpZwgIEB98Ofk5BAY2HF6O4UQQggBVVVVxMfHN/08F8JdXTgink+X7yOzpJYPl2Zy56nuUxUwIimUK8Yk8dnKLO7/eRsL7jihqQpINO9gpZS07/1Xjwi1fS+z2P2SUmW1RhbsUKuK7Nm6l1lcwyfL1eHmD5/RFy+9c4abA+w8UEV+ZQPeHlrG9ghv0xnZpXW88Xc6AA+d0Zcg34OJ87W2eVIj7ThPasmeYlZnluGp13LHKb3scqYzGM1W7v5xC79vyQfU+VF3n9ob7TE2Bn6zNhuTRWFAbCC9ozvW7yvyk8AJGr+pAgMDJSklhBBCdFDSgi/cnYdOyz1TenPj1xv5cNk+Lh2d2O6V7fZ0z5TeLNpVSG55Pc/PS+OJ6W7Yc+VmGged18qg8yN0t1XTZJXUoiiKWz1Hz96Yi9FiZUBsIANig+x27pN/7MRkUZjYO4KT27n9rrX+tlVJjU+JaNOmP0VRePi37RjMVsb2CGPG4MOreVZnqvOkRtlpnpTVqvD8vN0AXD46kdhmWt7cTa3BzA1fbWBZegl6rYbnzknl3GHHrtI2Wax8sSoLgFljuzshSvuSwQhCCCGEEEJ0EqcNiGZIQjD1Jguv2SoS3IWfl57nbfOkvli1nzW2F6Gieb6e0r7XnIRQX7QaqDVaKK42uDqcJoqi8J1twPmFI+xXJfVPWiH/7i7GQ6fhYScON2/UOE+qra17c7cVsGRPMZ46LU/OGHBYEtFgtrAuy7Z5z07zpH7fks+uA1UEeOn538QUu5zpaGW1Ri7+aA3L0kvw8dDx8ZUjjpuQApi77QCFVQYiArw4Y1DHmicFkpQSQgghhBCi09BoNDx4el8AvlubzZ5C99pMNi4lnItGqrNWH5i9jQaTtKUdi78MOm+Wp17btGFsX0mti6M5aMP+cvYW1eDjoWP64Bi7nGkwW3jyj10AXDW+O8m21kVnKapqYEtuJQAn92l9Uqq6wcTjc3YAcMNJPZpaLxtt2F9Og8lKRIAXve0w96nBZOHF+bubrhfi59nuMx0tt7yOc99byZacCkJ8Pfjm2lGc2Ov4s/esVoW3/90LwGWjE53a0mkvkpQSQgghhBCiExmRFMqU/lFYFXhm7i5Xh3OEB07vS2SAF5kltU3zZcTRNc6UqpGZUkeV1NjCV+o+Salv16pVUmekdrPbsoFPV2Sxr6SWiAAvbjm5p13ObI2FtiqpQfHBbWoJfnnBHoqqDSSF+XLTST2O+Pdl6SUATEgJt0sb5herssirqCc60Jurxrl/O9uewmrOfXcVmcW1xAR58+MNYxmSENKi+/61vYA9hTUEeOvdautqa0hSSgghhBBCiE7m/ql98dBpWLy7mGXpxa4O5zCB3h48OUOdJ/X+0kx25Fe6OCL35SeVUsfUPUytlMp0k0qpynoTf25Th1NfaKcB50XVDbxpS97ef1qfpuo5Z5pvG9o+pX/r51htza1omnf01IyBR51H1fgcNaFX2waoH6qizshb/6iVQ3ee2gsfT/euHNqeV8n576+ioKqBnpH+/HzTWFIiW1YJZ7UqvP73HgCuHt+dIB/32LjaWpKUEkIIIYQQopPpHu7HZaOTAHj6z11YrIprA/qPKf2jOX1gNBarwn0/b8Vssbo6JLcU6K0mIKoaTC6OxD0dOuzcHfy+OY8Gk5VeUf4MTQi2y5mvLkyn1mhhUHwwZw+JPf4d7KyqwcSqDLWSaUr/6Fbd12JV+L9ftmNVYPrgGMb3PDLpVFpjYEd+FaC297bXW//sparBTJ/oAM4Zevx5TK60Mbuciz5cTUWdiUHxwfx4wxi6BbV8IPuhVVKzOkBFWHMkKSWEEEIIIUQndOukFIJ8PEgrqObH9TmuDucIj53VnyAfD7bnVfGxbc29OFygrfJBklJH19S+V1Ln4kjUAeeNrXsXjkiwSxva7oJqvl+XDcDD0/qi1Tp/w+C/aUWYLAo9IvyOmAV1PF+uymJbXiUB3nr+b1rfo95mRUYpigJ9uwUSGdC+baE5ZXV8sWo/oLYJ61zw+WqptfvKuOyjNVQ3mBmRFMJXV48k2Lfls69MFisvL1DnZl01ruNWSYEkpYQQQgghhOiUgn09uXWSOn/m5YV7qHGzFrDIAO+mF6qvLNzjNtUu7iTQNpOoqt69vnbuIjlcTZJkldZidXE14La8SnYeqMJTr2XmUPtUND0zdxdWBaYOiGZ4kn220rXWgqbWvdZVSRVUNvDSArW17L7T+jSbcFq2x9a6d5QqqtZ6Yf5ujBYrE3qGt2hIuKus2FvCFZ+spdZoYWyPMD6/amSr5499ty6HzJJaQv08uWZCx62SAklKCSGEEEII0WldNjqRpDBfiqsNvL8kw9XhHOG8YXGMSwnDYLbywOxtKIp7tRm6WqCP2r5X3WByedLFHcUEe+Oh02AwWzlQ1eDSWBqrpKYOiG5VxUtzlu4pZsmeYjx0Gu47rU+7z2uLBpOFxbuLgNYnpZ78Yyc1BjOD44O5uJn5WoqiHBxy3s6k1JacCuZsyUejgfunuubz1RL/7i5i1mfrqDdZOLFXBJ9cOQJfz9bNCasxmHl9kZrwu21ST7sN1HcVSUoJIYQQQgjRSXnqtdw/Va1G+nBZJgcq610c0eE0Gg3Pnp2Kt4eWVZml/OCGbYau1FgpZVWgxijVUv+l12mJD1WHne8rdl2lXa3BzO+b8wC4YER8u8+zWJWmzZmXjU5qalN0tpUZJdQaLUQHejMwNqjF9/t3dxF/bjuATqvhmbMHNtt2mFZQTUFVA156LSPaUQmmKAc/X2cPiaV/TMtjdaYFOwq47ov1GM1WJveN4oPLhx118PvxfLAkg5IaI93D/bh4lH0G6ruSJKWEEEIIIYToxKb0j2JkUigNJisvzt/t6nCOkBDmy12n9AbgqT93UeTiihd34u2hw1OvvmSrqpe5UkeTbEvY7Ct1XVLqz60HqDVaSArzZUxyWLvP+3F9DmkF1QT5eHDrpBQ7RNg287errXun9o9q8TyreqOFR37bDsCssUn0iwls9rb/pKlVWONTwtuUnGn0964i1uwrw0uv5e5Te7f5HEf6Y2s+N329EZNFYdrAbrx76VC89K3/mAurGvhwmTqD794pvfHQdfyUTsf/CIQQQgghhBDN0mg0PHSGWi01e2Me23IrXRzRkWaNSyI1LojqBjOP/LbD1eG4lcYBxjJX6uiSwly/ge872zDyC+ww4LzWYOblhWpr1i0np9ilFbAtLFaFRbtaP0/qzX/SySmrp1uQN3ec0uuYt208f1LfqDbHabZYefYvtUrqqvHdiQlu+fY6Z/lz6wFu+24zZqvC2UNief3CwW1OJr00fzf1JgtDE4I5bUDrWirdlSSlhBBCCCGE6ORS4w6uk3/qz51uN7tJr9Py/Dmp6LUa5u0oYN72A64OyW0EeqvzZmQD39Ed3MDnmqTU3qJqNmZXoNNqOGdY+wecv780k+JqAwmhvlw2JtEOEbbNhv3llNYaCfLxYGT3lrXW7Sms5oOlmYC6XdPPq/lZSSU1BjbnVABwcp/INsf5w/pcMoprCfH14MaTerT5HEf5a9sBbv1uExarwjlD43jpvEHo25iQ2pxTwY8bcgF46Ix+dtnw6A4kKSWEEEIIIUQXcM+U3njptazZV8bCnYWuDucIfbsFcsOJ6ovKh3/bQWWdJGEAApsqpeTzcTQJtplSOeV1Lrl+Y5JgYu+IZjfMtVRBZQMfLFUXEtw/tU+b2rvsZf6OAgAm9YlsUVWP1arw0C/bMVsVJveNOm511b9pRSgKDIgNJDqobZ+3WoOZV2xVZbdO6tk0g81dzN9RwC3fqgmpmUNieeHcVHQtbIP8L6tV4VFbW+Q5Q+MYmhBiz1BdSpJSQgghhBBCdAExwT5cOyEZgGf/SsNotro4oiPdfHIKyRF+FFcbmlpyurrGF9qVkpQ6qsZB5zll9U6vADRbrMzeqA44P3dY+wecv7JwNw0mK8MTQ5jqwtYsRVGaklKntrB176eNuazNKsPHQ8djZ/U77u3/3qXOk5rUp+2tex8szaSkxkBimC+XjHJdVdnRLNpZyM3fbMRsVZg+OIYXzxvU5oQUwE8bctmSW4m/l577prrn3Ky2kqSUEEIIIYQQXcQNJ/Ug3N+LfSW1fL1mv6vDOYK3h47nZqYC8N26HFZmlLg4ItdrqpRqkJlSRxMT7I1GA/UmC6W1Rqdee8meYoqrDYT5ebarBQ3UNsCfbFVXD5ze16WtWbsOVJNbXo+XXssJvcKPe/vyWiPP2rbf3XFKT+JCfI95e4PZwrL0YgAmt3GeVFFVQ1Or4L1T+jQtBHAH/6QVcuPXGzBZFM4cFMPL7UxIVdabeH5eGgC3TerZ7oo8d+M+XzkhhBBCCCGEQ/l76bnrVHX48GuL0qmoc+6L+JYY2T2US0era84fmL2NeqPFxRG5VpCPbaaUVEodlZdeR3Sg+iI9p8y5LXw/rleTSDOGxLY7KfLi/N1YFTilXxTDEl3bmtVYJXVCrwh8PZufC9Xo+XlplNeZ6B0VwKxx3Y97+9WZZdQaLUQGeNH/GNv5juXVRenUmywMSQjm9IHuM/D7391F3PDlwS17r57f9hlSjV5btIfSWiM9Ivy4YmySfQJ1I5KUEkIIIYQQogs5f3g8faIDqKw38dqidFeHc1T3ndaHbkHe7C+t47VFe1wdjks1tu/JoPPmxYc0zpWqd9o1S2sMTdvjzhse166zNmWXM39HIVoN3DvF9a1ZjUmplmzd25hdznfrcgB46uwBLZo/9XfT1r1ItG2oIEovrOZ728bD/3NxVdmhluwp5vovN2C0WJk6IJrXLhzc7oTUnsJqvlilVrU+dlZ/t6oIs5fO9xEJIYQQQgghmqXTanj4DHXmy5er95NeWO3iiI4U4O3BUzMGAPDhsky25Va6OCLXaWzfk5lSzYsL9QGcWyn16+Z8zFaF1Lgg+kS3rdoH1PlNja1Z5wyNo2dUgL1CbJPs0jrSCqrRaTVMOk5Lotli5aFf1OHb5w6LY0TS8bf0Wa0KC3aoSam2tu4991caVgWm9I9ieAuu6QzL00u47ov1GM1WTu0XxRsXDWlRgu5YrFaF//tlGxarwpT+UUzoGWGnaN2LJKWEEF2CoijklNXx7+4iZm/M5ctVWfywLoc/tx5ge14ltQaZ0yCEEKLrGJcSzqn9orBYFZ74Y6fTB0S3xKS+UZyR2g2rAvf+vBWTxf0GsztDU6WUJKWa1VgpleukDXyKovDjerU66Lxh7auSWppewurMMjz1Wm4/pZc9wmuXeTsOADAyKZQQP89j3var1fvZeaCKQG8990/t06LzN+dWUFDVgL+XnvE9jz+v6r+Wp5fwd1oReq2Ge087+jXrjGbmbS9wWpJyVUYpV3++DoPZyuS+kbx18dB2J6QAflifw7qscnw9dTx6Zn87ROqejt8gKoQQHVStwczCnYUs2FnAir2lx32HsX9MIONTwpmW2o2BsUFuUwoshBBCOML/TevL4t3FLEsv4Z+0Iia1sWrBkR47qz/L95aw60AVHy7L5KaTUlwdktMF+0ql1PEcuoHPGbbnVZFWUI2nXstZg2LbfI7VqvD8X2qV1OWjE4kN9rFXiG02d5vaund6ardj3q6ouoGXF6ittfee1odwf68Wnf/XNjXpdXKfSLz0ulbFZrEqPPXnTgAuHZ1Ijwj/I26zOrOU27/bTEFVA36eOpbfd/Jxk2vtsWF/eVNCamLvCN6+ZKhdWuxKagw8a3ts3HlKL2Lc4LHhKJKUEkJ0OkVVDXy0fB/frs2m+pBNNR46Dcnh/kQEeOHvpcdosVJZbyKrpJbSWiM78qvYkV/F+0sz6R0VwBVjkzh3WFyn7N0WQgghEsP8uGp8d95bksFTf+5iQs8It/uZF+7vxcPT+nHXj1t4bVE6p/WPJvkoL0Q7s8akVJmTN8t1JPEhtvY9J1VK/bhBrZKa0j+aINvXpy3+2HaAnQeqCPDSc9NE1ydc8yrq2ZxTgUajtsYdyzN/7qLaYCY1LoiLRia06HxFUfhru5r0mjqg9cPJf1yfQ1pBNUE+Htw+uecR/z5nSz53/rAZk0Wt/Kw1WthXWuuwpNT2vEqu/HQtdUYL41PCeffSYa1OtDXn6T93UVlvon9MIFd2wuHmh5KklBCi02gwWfhoWSbvLM6gzrapJzHMlzNTY5jUN5L+MUHN/rJdVN3AqoxSFu0qYv6OAnYXVvPgL9t4+9+93D65J+cOi5PKKSGEEJ3OzSen8PPGXPaV1PL5yiyuPSHZ1SEdYebQWH7dnMey9BLun72N764d3abhyB1VqO0FdUWdVEo1J85WKZVfUY/FqqBz4OOjwWTht835QPta94xmKy8v2A3AdSckN32dXWmeLWE0IimUyADvZm+3KqOUXzfno9HAUzMGtPjzvSO/itzyenw8dJzU+9jzqv6rxmDmJVtl1q2TehLse/jn6+cNudz90xYURd3guXZfGcBRq6nsIb2wmss/WUt1g5nhiSF8cPkwvD3sk5Banl7CL5vy0GjgmbMHtntYurvr3B+dEKLL2HWgiulvreClBXuoM1oYHB/MJ1cO59+7TuLuKb0ZkhByzHd/IwO8mT44ljcvGsK6Byfz0LS+RAR4kVdRzz0/beX891exxw0HwQohhBDt4e+lb9r29cbf6RRXG+x2ttWqUGMwYzBb2jWzSqPR8MzZA/Hx0LF2Xxnf2rZudRUhthff5XVGrFb3m/3lDqIDvfHQaTBZFAqqGhx6rYU7C6msN9EtyJtxKa2fidTo+/U57C+tI9zfi6vGd7djhG3X2Fp3+jGqmIxmK4/8pg43v2RUAqlxwS0/f7t6/km9I/DxbF0C573FGZTUGEgK8+Wy0YmH/dv8HQXc+/NWFEWN6RRbK/Kg+GCCfNpeydac/aW1XPLRGspqjQyMDeKTWSPw9bRPvU+DycJDv24D4IoxSQyKD7bLue5MKqWEEB3eD+tzeOiX7RgtVsL9PXloWj+mD45pc2VTkK8H10xI5tLRiXy2MovXF6WzLqucM95czsNn9OPSUQlSNSWEEKLTOGdoHF+u3s/W3EpeXrCb585JbdM5+0trmbutgHVZZew6UEVxtQGzLYmi02qICfYmIdSXgbHBDEsMYWRSaItbn+JDfbl7Sm+e/GMnz81NY1KfKKKDmq/k6Ewa2/esClQ3mNvVLtZZqY8vH/aX1pFTVufQ2Uw/bsgF1G1zba3IqjOaeePvdABunZSCn5frX5YXVDawfn85AKcNaH6e1Ccr9pFeVEOYnyf3nNqy4eZga92zzas6rZWte3kV9Xy4LBOAB07ve9gbzSszSrjlm01YrArnDYvjyekDOP2NZQCcO7Tt876OFcvFH66hqNpA76gAvrhqZNMyAnt459+9ZJXWERXoxV2nun7wvTO4/tEvhBBtZLUqvLRgN+8szgBgUp9Inj83tcWDFo/H20PHDSf24MxBMfzfL9tYvLuYh3/dzuqMUl46b1Cr3+ERQggh3JFWq+HRM/txzrur+H59DpeOTmRAbFCL7781t4IX5+9mWXpJs7exWBVyyurJKatnxd5SAPRaDWN6hDF1QDemDog+7tyXK8cmMWdLPptzKnjo1+18ePmwLvEmkZdeh5+njlqjhbI6oySlmhEf4tuUlBqdHOaQa+RX1LMsvRhQk1Jt9emKLIqrDSSE+nLhiJbNY3K0+TvUhNGwxJBmE775FfW8vkhNpj1wet9WPRb3FNaQWVKLp07LyX1a17r3wrw0DGYro7qHcmq/g7Ou9hRWc/0XGzBarJzWP5pnZw5k9b5S0gqq8dJrOXNQTKuuczxF1Q1c+tEa8irq6R7ux5fXjLTrvKrdBdW8u0R9XfPYmf0JsGOyy51JUkoI0SEpisIjv2/nq9VqCf+tJ6dw++ReDpkxERvswydXjOCTFft4fl4af247QG55HR9dMYKIAPskwIQQQghXGpYYyvTBMfy2OZ8n5uzk++tHHzfhYzBbeGn+bj5ctg8AjQbGp4QzsXckg+KDiQ32IdBHj8XWxpdbXs++4lo2ZpezNquMzOJalqWXsCy9hMfn7ODMQTFcNjqx2XYVnVbD8+ekcsaby1i0q5C52wqYdpwNYZ1FsK8ntcZ6yuuMdMfP1eG4pfjQxmHnjtvAN3tjbtPMosSwtn0dqhtMfLBUrfq545SebrNcYK6tde9YA8ifmLOTepOFEUkhnNPKKqTG1r0TeoW3KtmyKbuc32zzqx4+o1/T81JpjYGrPltHtcHMyO6hvH7RYPQ6Le8vUT+35w+PP2LuVHuU1xq57KO17CupJTbYh6+vGXXMuVutZbZYufenLZgsCpP7Rra6mqwjk6SUEKLDURSFx+fs5KvV2Wg08PzMVM4fEe/Qa2q1Gq6ZkMzg+GCu/WI9W3IrOfudFXxzzWgSwnwdem0hhBDCGe47rQ/zdxSwNqvsuAmfGoOZaz9fz6pMteppxuAY7jq1N/GhR/+ZGODtQbcgH0YkhTb9zM4srmHejgLmbDnArgNV/LQhl5825DIiKYTbJ/dibI+wIxJjvaMDuPGkFN74O51Hf9/B+JTwLlE5FOrnSV5FPeWyga9ZcSHqYy/PQUkpRVGaWvfOH9723zs/WZ5FZb2JHhF+nDXI/u1lbVFcbWBtljoYfOrAo3/fL95dxLwdBei0Gp6cMaDVVYoHW/dankhWFIWn/twFqG3GjRWcDSYL1325gdzyehLDfHnftvVu14EqluwpRquBayfYb2lDVYOJyz9Zy+7CaiIDvPjm2lHE2LlF9JMV+9iSW0mAt56nZgzsElWgjdwjLSuEEK3w/tJMPluZhUYDL5zj+ITUoYYnhTL7pnEkhfmSW17PRR+uJqfMOeuHhRBCCEeKCfbhxhPVtfTPzN1Fg8ly1NsZzVau+mwdqzJL8ffS8+Hlw3ntwiHNJqSakxzhz00npTD31vHMvmksM4fE4qnTsi6rnEs+WsMF769mjS3pdaibTupBcoQfJTUGnpuX1voPtANqnCtVLhv4mhUdqFatFFQ5Jim1dl8Z+0vr8PPUcfrAtlWxVNaZ+Gi5Wslz++ReDt0S2BrzdxSgKDRVOP5Xg8nCo7/vAGDW2CT6RAe26vy0gip2F1bjqdM2DSFvibnbCtiwvxwfDx13n6ouZFAUhft/3sqG/eUEeuv55MoRTS1079pGepw+sJvd3jSuM5q56tN1bMurJNTPk6+vGdXmKrnm7Cup5WXbZsGHpvXtMvPyGklSSgjRoczfUcDztl9AHzmjH+e1452qtuoe7scP148hOcKPvIp6LvxgNbnlkpgSQgjR8V13QjIxQd7kVdQ3tRj91+NzdrB2XxkBXnq+vmYUp/Rr+YvMo9FoNAxNCOGVCwaz9N6JXDk2CU+9lrVZZVzwwWpu+nrDYT9nvT10PHP2QAC+XZvdtPq9Mwu1veiWSqnmdQtWX8gfqHDM9r3GKqlpqd3avGnto+WZVDeY6RMdwLRmKpJcobG1rrmte+8tyWC/bfj27ae0fvj275vzAXXrXksrGxtMFp6bp1ZJXX9iclOi5v2lmfy6OR+9VsN7lw6jR4Q/oCa+5mxVr3PjST1aHWNzMVz3xQbW2xJgX1w1kp5RAXY5u5HVqnDfT1sxmK2MTwlvVxVeRyVJKSFEh5FVUsud329GUeDyMYnMGue69bmRgd58d+1oksPVxNSsT9dRWS/vXgohhOjYfDx1PHB6X0CtOjhQeXjVyfL0Er5eo7bPv3HxELuvK48O8uaxs/qz9J6JXDIqAa1GrZaY9PISXlm4p6l6a3RyGBfaKqUfmL0Vg/noVV2dRYhtNk55nSSlmhMTpFb45FfWoyiKXc+uM5r5yzZz6dxhbUsalNUa+WS5On/NUXNQ26K0xsDqTFvr3lFa6/aX1jYtFXr4jH74t3JToKIo/L5FTRadNbjlg8c/W5lFTlk9UYFeXHeC2oq3LL2YF2xvTj96Vn/GpoQ33f7lBXtQFJg2sBv9Y1q+qKE5JouVm7/ZyPK9Jfh66vjsqpGtWgDRUl+v2c/arDJ8PXU8O7Nrte01kqSUEKJDMJqt3PrdJmqNFkZ2D+WRM/q5OiQiA735+tpRRAV6kV5Uw/++3ojJYnV1WEIIIUS7nJHajRFJIdSbLDz/18H2OItVXTICcNnoRCb2bt0GrdaIDvLm6bMH8uetExidHIrBbOWNv9M5/Y1lbNivvoB+YGpfwv29yCiubWrb6awkKXV8jZU0DSar3d8oXLCjkFqjhfhQH0YkhbTpjA+WZlJrtNA/JpAp/dtXXWhPC3cWYrEqDIgNPKLlTVEUHvt9B0ZbFU9bqrs2ZleQW16Pn6eOSX1a9nGX1Bh4+5+9ANwzpQ++nnpyyuq45dtNWBW4YHg8l446uLVwU3Y5C3cWotXAHW2o5Povi1Xhzh+2sGhXEV56LR9fMYKhCW37uh9Lbnkdz9meY+87rU+rW6A7C0lKCSE6hNcW7WFrbiVBPh68doG6XcMddAvy4eMrRuDrqWP53pKmfnshhBCio9JoNDx6Zn80Gvh1c35TEujPbQfILK4l2NeDe6b0dkosfbsF8u21o3nnkqFEBHiRWVzLue+t4sk/duKp1/LYWeqbVO/8m8HeomqnxOQKIX62mVK1UpXdHG8PHWG2Nsd8O7fw/bxRbd2bOSSuTZUsxdUGPl+ZBcCdp/Ryq2qYudvVAeRHq5Kav6OQf3cX46nT8sT0/m2Ke46tSurU/tH4eOpadJ/XFu2h2mBmQGwgM4fEUm+0cP2XG6ioMzEoLojH/xPLSwt2A+ow9JRI/1bHeChFUXj09+3M2WJrEbxsGGN6hLXrzOau88DsbdQa1W2Gl41OtPs1Ogr3eFUnhBDHkFZQ1TTX4rmZA+2+7aK9BsQG8eZFQ9Bo4Js12fyyKdfVIQkhhBDtMiA2iPNtbUqP/b4Ti1Xho2Xqz+KrxnVv1Ur39tJoNJw+sBuL7jiRc4bGoSjw8fJ9nP7GMpLC/Di5TyRGi5UHZm/DarVv25a7aKyUKpNKqWNqrJb6b9tpexRUNrBibwkAM4e2bVvee0syqDdZGBQfzMl9HFdh2FoVdUZW2j62qf+ZJ1VnNPPEHPXN1utOSCY5ovXJHrPFyh9bW9e6t6ewmm/WZAPw0LR+aDTw4C/b2HmgijA/T969dBjeHgeTWyv3lrBibykeOg23Te7Z6hj/6+UFe5o2fL96wWCHVYT+uCGXZekleOm1PH9Oqtu0c7qCJKWEEG7NalXfRTBbFU7rH93smlpXm9Q3iltPVn8Q/t8v29lbVOPiiNqvzmh2dQhCCCFc6O4pvQnw1rMtr5Jn5u5ia24leq2GSw5pm3GmIF8PXj5/EJ/OGkF0oDf7SmqZ+c5Kuof74eOhY11WOd+ty3FJbI7WmJSqkKTUMXVrmitlv0qp3zbnYVVgRFJIm7auFVY18NXq/YD7VUkt3FmI2arQJzrgiKTTG3/vJb+ygbgQH/43MaVN56/KLKWkxkiIrwfjD5n/dCzPzN2FVYEp/aMYnRzGZyuz+GVTHjqthrcvGXrYm9NWq8Izf6nD0C8emUBcSPva3z5cmslb/6ptg0/NGMCZg1o+A6s18irqeXLOTkBtN2xLwq8zkaSUEMKt/bQhl03ZFfh76XnsrP6uDueYbp3UkzHJYdQZLdz8zcZmV2m7K6tVYXVmKc/9lcaZby5n+FOLOtzHIIQQwn4iAry40zaf5WPbgOYTe0UQ5u/lyrCY2DuSv26bwCn9ojBarHy8fB/1tp9Xz/61i6Iqx2xfc6XG9r0yad87phjbBr4CO1VKKYpysHVvaFybznjn370YzFaGJYZwQs+WJWac5S9b697p/3nTd29RdVNl5GNn9m9x291//Wbbunf6wG54tGD0xpI9xSzeXYyHTsP9U/uyYX85T/+pJp3+7/S+jE4+vI3u5425bM+rIsBLzy2T2lcl9cO6HJ6eq17r3tN6c8kox7TTWa0K9/60hWqDmSEJwVwz3nWLm9yFJKWEEG6r3mjhlYV7ALhtUs+mkmx3pdNqeP2iwYT7e5FWUM1ri9JdHVKLlNQYeGXhHia88C8XfrCa95ZksC2vkjqjhR35la4OTwghhAtdNjqR3oesQJ/czz0GNIf4efLBZcN4Ynp/PPUHX9JUN5h53FaB0JkcWill781ynUljpdQBO82U2pFfxZ7CGjz12iMSNy2RX1HPt2vV6r273KxKqrLexLL0YgBOH3iwdU9RFB7+dQdmq8LkvpFt/p5vMFmYb0t6TR98/LZHs8XK03+q37uXj0kiyMeDm7/ZiNmqcEZqN2aNSzrs9rUGMy/OV2dJ3XxyCuHtSJbP236A+2dvBeD6E5K58cQebT7reL5cvZ8Ve0vx9tDyyvnuMyfXleQzIIRwW5+u3EdBVQOxwT5cPrZjDP+LDPDmmbMHAPDB0gy25FS4NqBjKKpq4NHftjPuuX944+908irqCfDSM3NoLK+cP4g1D05iWGKoq8MUQgjhQnqdlvun9mn6c7CP82ZJHY9Go+HyMUn8etM4uocfbKv6c9sBFu0sdGFk9teYlDJbFaoN0l7fnG62NzDz7VQp1VgldUq/KILa8Nh/+9+9GC1WRieHMraF7WvOsmBHASaLQq8of1IiDyaef9+Sz6pMNWny6Jlt71JYvLuIaoOZbkHeDE88/ua679blsKewhmBfD26emMKdP2zmQGUDyeF+PHdO6hEJvfeXZlJUbSAh1Jcr/5Owao3l6SXc+u3mpq1+90/t47Dk4b6SWp61tRs+MLXvYc9bXZkkpYQQbqmqwdS03vnuKb3w0retbNgVTu0fzVmDYrAqcM9PWzCYXdsCpygKlXUm8ivqKa42UFlv4r0lGUx8aTGfr9qPwWxlUHwwr184mHUPTeaV8wczc2gcUYHuXZkmhBDCOUJsG81AbeNzt0qdfjGB/Pq/cYcNkL7mi/VU1nWeVjcfTx3eHupLt/JamSvVnMakVIEdZkqZLFZ+t7WfndOGAef5FfX8sF6tkrpjcq92x2Nvf2w9AMAZqQfnJlU1mHjK1i5388QU4kPbPqNp9sY8AM4aFHPcId6V9abDuiO+WZvN4t3FeOm1vH3JUPy99Ifd/kBlPR8sVV8nPDC1T5tfJ2zKLue6L9djtFiZOiCaZ2YOdFhCymJVuOuHzTSYrIztEdalt+39l/74NxFCCOf7Zk021Q1mekb6M31Q2zaduNJjZ/VnZUYJewpr+GR5Fjee5Lgy4P/KKavjn7QiNmaXsz2vkuyyOkyW5l9A3H1qL/43McWtSsqFEEK4jz0F1U3/f/3+cn7dnMfZQ9o2X8dRgnw8+Ojy4Twzdxcf2eZfDXpiAVsePbVNFS7uKMzPi7yKekpqjG0auH00DSYLVfUmtFoNfp76Ns8OcheNQ7APVDagKEq7frdZuqeY0loj4f6eTOgZ0er7v78kA5NFYXRyKKP+MwvJ1cprjU0bBc9IPdiW+OrCPRRXG0gO9+PaE5LbfH5pjYF/0oqAls3ieuPvdMpqjaRE+tMrKoDLPl4DwJPTB9C3W+ARt39h3m4aTFZGdg/ltP9sDWyp3QXVXPnpOuqMFsanhPPahYPROXAD3vtLM9iYXUGAl54XzxvUpbft/ZckpYQQbqfBZGkaqHr9iT065JN2qJ8nD57elzt/2MKb/6Qzc2isQyuPqhpM/LYpj2/W5rDrQFWr7vvSgj38vDGPi0bGc+noRHw95UeDEEKIgzJKDt8o+8zcNCb3jSLA272SPVqthofO6Ee9ycLXtpXygx5fwPL7JrZ7K5c7CA9Qk1KlNYY23d9qVdiaV8minYWs319GWkE1Ff+pJgv39yQl0p+R3cM4sVcEQ+KDO9TvYY2/axnMVspqje0ayt9Y6TN9cGyLhnQfqqiqgW9tmyAbtzO7k3k7CjBbFfp1C2za/LYjv5LPV2YB8MT0Ae3qUvh9Sz5mq8LA2CB6Rwcc87YZxTVN173ppB7c8b3aSnfO0DjOG35kQmtzTgW/bMpDo4GHp/VrU+Ixp6yOyz5eQ2W9icHxwbx/2TCHdmWkFVTxqq0S7JEz+xF7yAZBIUkpIYQbmr0xj+JqAzFB3pzloFWszjBjcCxfrd7PxuwKnvsrjVcvGGz3a1TUGflgaSafrcyizqi2Ceq0GoYlhjAhJZyBcUFEBHjx5B87WZ1ZBsC4lDCuO6EHeeX1rMwo4Z+0IvaV1PLM3DTeX5LJ7ZN7csmoxA71S6gQQgjHKapSkyB3ndKL2Zvy2FdSy5v/7OXB0/u6OLKje/rsgazPKmd3oVrhddZbK/jiqpEMiA1ycWTtE25royxtZftejcHMD+ty+GxlFtlldUf8u1YDVltBdUmNkZKaMlZnlvHG3+kkhPpywYh4Lh2VSJCveyUhj8ZTryXc34uSGgMHKhvanJSqrDOxcJc6l2xmG1r33l+aidFsZXhiCGN6uFeVFMAfW9W2xDMGqVVSVqvCw79ux6qolVPj27klsHEWV0vaHp/+cxdmq8JJvSP4eWMuRdUGekb68+SM/kcknKxWhSfm7ABg5pA4Bsa1/nu6qKqBSz5aQ1G1gd5RAXw2awR+Xo5LixjNVu74fgsmizo4/txh7lVl6g4kKSWEcCuKovDFqiwArhrf/bCNOq09p6jaQEFlAzUGM1ZFwd9LT7i/F7HBPk5JuGi1Gh47qz/T317BL5vyuHR0IsNaMOixJUwWK5+tyOKNv9ObBp72jPTnklEJTB8c2zT/Y09hNVd/vo6csnq8PbQ8PWMgM4fGNv2Qv3hUArUGM39szeedxRnsL63j4d928OvmfF4+bxBJMoBRCCG6vOJqNSkVG+LDI2f2Y9an6/hk+T7OHx532IBkd/LNtaMY9tQiAMpqjZz//ireungIJ/dxj+2BbdG4XaykumWVUharwg/rc3hp/u6mRJafp46TekdyYq8I+sUEEh/qS6C3HkWBaoOZ/aW17MyvYll6CUv2FJNdVseL83fz/pIMrjshmavHJ7t9i19MsHdTUqqticg/tx3AaLbSJzqAfkdpHzuWkhoDX6/ZD8Atk3q63XiE4moDqzJKAThjoPrm788bc9mYXYGfp46HpvVr1/lpBVVsz6vCQ6fhrONs3Vu8u4h/0orQazUEenvw+5Z8fDx0vHvp0KNW7v90SJz3nta71bFV1pm4/JO1ZJfVER/qwxdXjyTY1/P4d2yHN/5OZ9eBKkJ8PRw6s6ojk6SUEMKtbMqpIK2gGi+9lvOGxbfqvlkltSzcWciSPcVsza2gquHo22m8PbT0jg5kfEoYJ/SMYERSqMOSVKlxwZw3LI4f1ufywrw0vrtudLt/GG3JqeC+n7eSZpvx0bdbIHee0ovJfSMPO3tNZinXfrGeqgYz8aE+vHfpMPrHHPnLmZ+XngtGJDBzaBzfrMnmhXlpbNhfzllvLef1i4YwsXfkEfcRQgjRdZTXqQmNED9PJvaOZHLfKBbtKuSx33fy5dUj3fJFVpi/Fy+dN4i7f9wCQJ3RwjWfr+eFcwd12EqFMP+WV0rtL63l9u83sym7AoCkMF+umZDMzKGxR32xr9Goc7lS44JJjQvmwpEJ1BnN/Ln1AB8t28fuwmpeWrCHHzfk8uzZA91uk9yhIgO8gUqKqts+7Lyx0ufQN/Ja6sNlmTSYrAyKC+KEdlYcOcK87QewKjAoLoiEMF8q600891caALdN7kl0UPvGTfy8Qf3cndwnklC/5hM+JouVJ//YCUCvqADm2Kq3npk54KjJ7sq6g3HePrlXq8di1BnNzPpsLWkF1UQEePHV1aMcvtRnU3Y57yzeC6gVnOpjU/yXJKWEEG7lG9sMiDNSY1pUJq4oCgt2FvL5yixW2t71aaTTaogM8CLAW48GDTUGM8XVBhpMVrbkVLAlp4K3/80gNtiH84bHcenoxKZ3Ie3p9sm9+HVzPmv2lbF8b0mbhmWCWrL8/tJMXl6wG7NVIdjXgwen9uXcYXFHJNXmbS/g1u82YTRbGZYYwkeXDz9se9LReOi0XDE2icn9orj1201s2F/OVZ+t4+kZA7l4VEKbYhZCCNHxGc1WALxs1cuPnNGPpenFLN9bwvwdBZw2oNux7u4y5wyNZfbG3KbfD6wK3P3jFqobTMwa193F0bVeYytayXFmSv2xNZ/7ftpKrdFCgJee20/pxeVjEls9F8nXU895w+OZOTSOP7bm89xfaewvrePij9Zw9fju3D+1T6vPdIbIQPXz1Nh22lpZJbVs2F+OVqOOYmiNslojX65Sq6RudcMqKYA5/9m69+rCPZTahoy39/vCbLHyy6bGjYXHTv5+tXo/GcW1AGSW1KAocMHw+GaXKLy8cDdltUZ6Rvpz5bikVsVlMFu4/ssNbMyuINBbz5dXj7TbsoDm1BjM3G6bj3XWoBhOH+iez5PuQJJSQgi3Ud1gaupxb0kSZE1mKc/M3cWW3EpAnYkwLiWcib0jGZ0cRo9IvyOGFpotVnLK69mUXc7SPcX8nVZEXkU9ry1K5/0lmVw2JpEbTuxxzHd2Wism2IdLRyXyyYp9vDh/N+NTwlv9S0plnYmbv93IsnR1U8q0gd14Ynr/o85K+HPrAW79bhMWq8LkvlG8dfEQvD1aXmofG+zDt9eO5pHftvPduhwe/GUbRrOFKzvgL/BCCCHaz2wbOORpS0AkhPlywwnJvPHPXp78Yxcn9op0y5YujUbDM2cPZMprSzGYrYT6eVJWa+TxOTupqjdz66SOtXk23FYp1VxSSlEU3lmcwYvzdwMwMimUVy8c3O6hyjqthumDYzm5TyQvzNvNl6v38/HyfWzJqeCdS4YS6eBqk9aKsP1uVNTCNsf/mr1JHXA+oWdEqz+2T5bvo85ooX9MICf3cb9K88KqBtZlqTNGp6V2Y2d+VdPYjCfO6t/uJOPS9GJKagyE+Xky8Rgff3mtkdcWpTf9ucFkpUeEH4+edfTWwe15lXy1Wk32PT69dXFarAp3fr+FZekl+Hjo+HTWSPpEt64lsy0e/30H+0vriA324ckZAxx+vY7M/VLbQohOQ1GUVt1+wY5CGkxWUiL9GZoQ3Oztag1mHv51Oxd8sJotuZX4euq48aQeLLvvZL68ehRXje9Ov5jAo27R0Ou0dA/3Y+bQOF67cAjr/m8yr10wmNS4IOpNFj5YmsnJLy/m+3XZWK2ti/9YbprYA19PHVtzK1m4s7BV991XUsvZ76xgWXoJ3h5anj9nIG9dPOSoCam/th1MSJ0zNI73Lh3aqoRUI0+9lmdnDuQ62zrgx+bsZM6W/FafI4QQouNrrJTSH/JC8MaTUogN9iGvop53l2S4KrTjSgr349ZJ6vYzRVG4cmwSAK8u2sOTf+yy6896R2us5i6tObJ9T1EUnvpzV1NC6qpx3fn2utF23fIV4O3BkzMG8P5lwwjw0rN+fzkz313JvpJau13DHhorpYrbkJSyWhVmH9K61xqVdaamLXK3nOyeVVJ/bj2AosCwxBC6BXnz6O/qcPNpqd3s0pL58wY1oXfW4JhjJo5eXbSHyvqDmx899Vreuvjoc6SsVoWHf9veVHE0tkfL41QUhYd+3c6f2w7godPw/mXD7Dbf9Vj+2naAHzfkotHAK+cPIsjH/ZcEuJJUSgkh7KKs1siinYWsyypjW14lByobmn7YeOg0RAV6Exfiw6C4YIYnhTIqOZTA/6ySbuwlP2tQTLM/yDOKa7j2i/Vk2sp9LxoZz52n9CYioG1td94eOmYMiWX64BgW7y7m+XlppBVUc9/P2/h1Uz6vXjC43b31oP4iOWtcEm//m8HbizM4pV9Ui35Z2bC/jKs/X09FnYnYYB8+umI4fZsZuLloZyG3fKsmpGYOjeWFc1PRtWNWlkaj4YGpfTBZrHy6Iou7ftxCTLA3wxJD23ymEEKIjqdx6YjJYm36Ox9PHQ9N68uNX2/kvSUZnDs0joQwX1eFeEzXnZDM75vz2V1YTVWDiUfP7Mfjc3byyYp91BrMPDtzYIfYOBveTPueoig8P283Hy/fB8BjZ/ZzaHXzlP7R9LolgFmfriWrtI5z313J52603bBxbk9xG2ZKrd9fTm55Pf5eek7tF92q+366ch/VBjO9owI4tZ97DtRv2rqX2o1fNuWxLqscHw/1e7m9KutMTW+8Hmtu2+6Car62jeto9NC0vs3+fvvTxlw22Yab/18r43x5wR6+XZuNVgOvXziEE3q1bYRGaxyorOf+2dsAuPHEHoxKdsz2xf2laptpRnENZotC7+gATh/YrU1vRruaJKWEEO2yMbucdxdn8G9aUVN5/3+ZLAq55fXkltezOrOM95dm4qnTcmLvCGYMjmVK/yiqGswst7WmnZF69J7rpXuK+d/XG6k2mOkW5M1L5w1inJ0GbWo0Gib2iWR8z3A+X5nFKwv3sCqzlKmvL+WV8wcfswS5pWaN685Hy9Ry9zX7yhh9nB9SKzNKuObz9dQZLQyOD+aDy4c1OyBxY3Y5N3+7EbNVYcbgGF48d1C7ElKNNBoND03rR255PQt3FvK/rzfx120TjjufSgghROfhY3uRU2e0HPb3pw2IZnxKOMv3lvDEHzv56IrhrgjvuDx0Wp47ZyAz313J7I15zBwSx8vnDeKen7bw/focFBSem5nq9ompxkHn5XUmzBZrU+XaB0szec9WrfbkjAFcNjrR4bF0D/fjxxvGMuuztWzPq+LSj9fw/XVj6B3t+m2MkQFtb99rrJI6fWB0q1pSqxtMfGJLCt4yKcUtH0t5FfVszK5Ao1FbEy/8YDWgxtstqP0Vdb9vzcdoUTcWHm2xDqgJ1Cf/2InlkNcMp/aLavYx257h5p+t2Mdb/6pDxp+aMdApM52sVoW7f9xCZb2J1Lggbp/cy67nl9Ua+X5dDr9tzmtaeHSo95dk8sMNYzpcZZYkpYQQbZJfUc+jv+84rBWtf0wgJ/WOYHB8CIlhvoT6eaIBGsxWDlTUk1lSy6bsctZklpFp25S3cGchscE+eHloMVsVBsQGkhzhf8T15u8o4OZvNmKyKIxMCuXtS4a2uTrqWDx0Wq6ZkMzJfSK55dtN7Miv4qrP1/F/p/fl6vHd21WKHe7vxXnD4/hqdTbvLck4ZlJqyZ5irvtiPQazlQk9w/ngsuHN/nKUWVzD1Z+to8FkZWLvCF48zz4JqUY6rYbXLxzMGW8uJ7O4lvt+3sr7lw1zy7J0IYQQ9udr+/lTbzx8q61Go+Gxs/px2mvLWLSrkH93F7ntxtYhCSFcMSaJz1Zm8eAv25h/+wl46LXc/t0mflivJiLcPTEV4uuJVqMObC+rMxIZ4M3fuwp5bp76ov2haX2dkpBqFBHgxbfXjubSj9eyJaeCSz9eww/Xj6F7uGMHSLckLlDb96xWpcVf0waThT9tQ8CbG7bdnC9W7aeqwUyPCD+muung/z9tVVIjk0L5dm02JTUGksP9uGZ8sl3O/8m2de9YVVKLdhWxfG9J05+7BXnzwrmpzf5O+dKCtg03/21zHo/NUTf73XVKL6ct7Pl4+T5W7C3Fx0PHaxcMbqoyba+9RTW8vySD37bkN7VT67QahsQH07dbIDqtht+3qNWgX67K4uaTe9rlus4iSSkhRKv9viWfB35Wt7rotRrOHhLLdSck0zOq+XfHYoN9GJ4UyvnD41EUhd2F1fy+OZ/v1+WQV1HfdLuaBjMWq3JYUmXBjgJu+nojFqvCtIHdeNWOT/LNSY7wZ/ZNY3l8zk6+WZPNU3/uYn9pHY+d1b9dCZ9rJyTzzZpsFu8uZteBqqOWKq/LKmtKSE3uG8lbFzc/F6q81siVn66jvE59R+ati4c6ZBOOr6eeNy4cwtnvrGDBzkJ+3pjXYVdqCyGEaB1fL/UlQ3WD+Yh/S4kMYNa4JD5cto8n5uxkbI+wo850dAd3T+nN/B0FZJfV8frf6dw/tQ9Ah0lM6bQaQv08KakxUlJtpKrezG3fbUZR1AUxV493/kKSAG8PPp81ggs/WE1aQTWzPl3Lr/8bR7Cv6yqqG9sczVaF8jrjUWdwHs0/aUVUG8zEBvswqnvLRxXUGsx8tCwTgJtPTrHrG4P29Ict4dY7OoDPbLOvHjurv11+p951oIotORXobUPxj8ZgtvD0nzub/tzYUtfcY2V7XiVfr1GHmz8xfUCLf79duqeYu3/cAsAVYxK5+eSU1nwobbYzv6ppptvDZ/Q76pvsrZVVUsvrf6fz2+Y8GovLBsYGcenoBE7tF31Y50JSmC+PzdnJ5pzKdl/X2WTQuRCixRRF4bm/0rj1203UGi0MTwxh7m0TePG8QcdMSP2XRqOhT3Qg957WhxX3n8xjZx7ctJFVWsdZby1nR776hLphf3nTnKSzh8Ty+oWOT0g18tLreHrGAB6a1heNBr5cvZ97ftpyWMlxayWG+THVVj7cWOZ9qF0Hqrjqs3UYzFZO7hPJO5cMazYhZbZYufnbjWSX1REf6sMnV47Az8tx7zUMiA3ijlPUMuRn5+46bEClEEKIzut47VC3TupJRIAX+0pq+XBppjNDaxV/Lz1PTFe3YH24LJOd+VWcNSiG1y4cglYDP6zP5f7ZW916+HmYn/q1KKiq57bvNlFjMDOqeyiPn9XfZRXMwb6efHn1KGKDfcgqrePGrzYeNn/M2Tz12qYtyq1p4ftl08Eh3a1JTH6zJpvyOhNJYb6cmRrTumCdZH9pLVtzK9FqYFVGKRarwmn9o+02Y+m7teqMqFP6RTXbyfD5yiyySuua/nzrpJ6MbCb5Z7EqPPjLtqbh5mN6tGwu0+acCm74agMmi8IZqd149EznfF80mCzc9t0mjBYrp/SL4qKR8e06r6TGwAOztzHplSX8sklNSJ3SL4qfbxzL7zeP44IRCUeM0mh8zLppTvSYJCklhGiRxs0XjTMLbjqpB99fP4ZerUhGHY23h47EQ8q8A7317MivYvpbK7jz+81c+cnapgTNi+emHrb5xxk0Gg3XTEjmzYuGoNNqmL0xj7t/bF9i6ipb+fGcrflU1h1M7ORV1HP5J2upbjAzIimEty8eeswE3PPz0lixtxRfTx0fXj686Z1BR7pmfDIpkf6U1hp5ecFuh19PCCGE60XZtpkVVR19cHSAt0fToOQ3/9lLTlndUW/nDk7pF8XUAdFYrAoPzN6KxaockZj6v1+3tXqDsLOEB6gvRB+cvZ0d+VWE+Hrw5kVDHFIl3RoRAV58fOVw/Dx1rMos5Yk5O49/JweKDGjdBr6KOiOLdxcBMKOZSp+jMZgtfLRcTcTeeFIPp/+e2lKNVVJWBdKLavD20PLwIW8Kt0eDydKU0Ltw5NHb5EpqDLy8YE/Tn0d2D+WWY7SYfbEqi625lQR463nojJYNN88ormHWp2upM1oYnxLOy+cPclrV47Nzd5FeVENEgBfPn9N8O+LxGM1WPlqWycSXFvPt2mwsVoWTekfw+83j+PDy4QxLDGn27B15VQAub59tC/f8rhFCuJ2XF+7mq9XZaDTw/DkDufe0PnYrT16cpv4ScNHIBP6+6ySmDojGbFWYvSmPaoOZcH8v3rp4iEt/0J+RGsNbFw1Br9Xwy6Y8Hv19e5t/YR2aEEKf6AAaTFZ+sg3UrDOaufbz9RRXG+gTHcBHV4w45oDN3zbn8eEytdLqpfMG0Sf66BtL7M1Tr+WJs/oD8PWabLLcbA20EEII+2scLlxY1fwL/LMGxTAmOQyD2crjc3Y4K7Q2eeys/gR46dmSW8kXq7IADktMfbs2h2fm7nLLxNTBSik1QfjcOalEtmL4syP1iQ7k9QuHNFWXN85ncoWIVg47n7utAJNFoW+3wFYNa5+9MY/CKgPRgd6tnkPlTH/852tx88QUYoPbP9wcYO62A1Q1qG2PE5pZQPTygt0YbLOQAr31vH7h4GZfR+RX1POSrQ3u/ql9ml3yc6iCyob/Z++sw6Sq+yh+7uR2d3cXu0t3SHcKSIso4KtiYoGiYosIiCAtKCAt3V3b3d3du5P3/ePO3K3ZZGYD7ud5fGR278TOxv3d8zvfc7B4zxM6zmLnooAuGyO+GV+AAw+pMcMf5/jSLr2OciehEON/vYOvzseisk4MTwsdHFs1EPuX9YOPlV6r95VISdxKoK6nlFUC1ZUwohQDA0ObnAjOwvablEPqu5k+mNdXuWGBtxMKAQAjXY1hrM3H768E0DtcALW7EpRWqtTn7AwTvM2xdT612KLCyjs3okAQBBbKgkgPP06HVEri/eMRiMmtgKEmD38uCWy1NSO1qBofy6pmV49w7JI2kYYMcjLCSFdjSKQktt5I7NLnZmBgYGDoeuSiVE55bYvHEASBTdM9wWUTuBZb0KgIpadhqqOGD2V5Uj9cjkeOLNtyqq8Fvp3pAwDYfTcV224kddtrbAk9jfr1wSx/K4zzNOvGV9OcMR6meGO4IwDgo5MR3eaaqxelFLv7mnJa5vSZ7tf+8TuJlMQfsgmCV4fad1m8REdJLqxCbG4FfdvOUAMrhykn3BwA/nmaCQCY19daoTMpKrscfz/JpG//OMe31ba/DWejUS2UIMBWH/Pbcc1RViPE4r2PkV1WCwcjTexb2hdaKoyzaEhBRR3eO0blVy0bbIfhnRiHLKoS4K1/QrF47xOkFFbDSIuH72Z54+zaIS2ONzblVnwB8isE0NPgtvs+PYme+ZvDwMDQY0gurMInpykBZM1IR8zt+2wz0k3Jr6hDWnENCAIYIJsXf5hc3Gxna+m+J/jrUbpSn7szTPQ2x+eTKbvzd5ficDY8p1OPM6OPJTR5bKQUVmPJvic4H5kLLpvAzkUBsNLXaPF+QrGUzvTqb2+Ad8e6dur5nxV5xe3p0GykMm4pBgYGhuca+ThIamF1q+4hJxNtvDqUutjdeDYatUJJl7y+zrCgnw0CbPVRI5Rg49l6Z9fcvtb4THae/+lqAvbdb57/2J1ciKx3vHwyqX1jTV3NOy+5wN9GD5V1Yrz1T+gzRR50Frm7pqAVd5+crNIaPEkrAUFQeVLt5WJULtKKa6CnwcX8FsbWegL/hTd2SW2Y6qk0F1FyYRWepJaARQBzAps7xUiSxDtHw+jbiwbYYmwrQuqlqDxcjckHh0XgmxnebY7f1QolWHEgCAn5VTDV4ePA8n7tDrZ/ViRSEm8fDUNxtRDu5jr4cLxbh+5PkiSOBWVi9E+3cSYsBywCWD7YHjfeG4F5fW06NJFyUObUmhNg1WIWbU+GEaUYGBhaRCyRYt2xcNSJpBjiZIR3X1K+APIktQQA4GGuAx01LmqFEnx0MgIA1SQTt2k8ZgdYQUoCn56OwuaLsd0eQLpssD1elTXcfPhvBOLzKjv8GFp8Dqb3oTIL7iZS1bhfTPVCX7vWdzd+uByHyOxy6GlwsaUV67Oq8bXWwyg3E0hJKiyWgYGh57N9+3bY2dlBTU0N/fv3x5MnT1o9/vjx43Bzc4Oamhq8vb1x4cKFRp8nSRKff/45zM3Noa6ujjFjxiAxsd49mZaWhhUrVsDe3h7q6upwdHTEhg0bIBQKVfL1MagOW0MNsAigUiBuM6PnzVHUWFB2WS223+x5TiM5LNlFL4dF4EpMPi5H59GfWzHEHm+PofJuvjgXQ1fddzfFVQIUVdX//nR2TEjVcNksbJ3fB9pqHIRklCksdlE1HcmUkm8wDrA3bNXB0xCSJLFDNkWwZKCdSotmnpX/Iuo3UMe4m2Kkq4nSHvuozCU10tVE4Xt3MSoPiQVVAABNHrtVIbWyTkQLxKuGO7Q5RimSSLH2SAiC00uho8bBgeX9YG3Q8saustl5OxkPkqls120L+nRIDEoprML83Y/wwb8RKK8VwcNcB6fXDMbnUzygo9bytIQiwjPLcDuhECwCWNjftqNfRo+AEaUYGBha5NCjdIRnlkFHjYMf5qimIlkuSsmtpr/dSER6cQ3MddWwfoIb1Lhs/DDbB+tkrW9/3E7B+/9GdMuuW0PWT3THUGcj1IokeOOvYFTWdbyJ7iUP00b/bqup425iIZ0j9f0sn3YvnFTFStlu+OnQbFR04utnYGDoOo4ePYp169Zhw4YNCAkJga+vL8aNG4eCggKFxz948ADz58/HihUrEBoaiunTp2P69OmIioqij/n++++xdetW7Ny5E48fP4ampibGjRuHujpqXCYuLg5SqRR//PEHoqOj8csvv2Dnzp34+OOPu+RrZlAefA4bNrKLvaTCqlaP1eBxaKfRH3eSkdzG8d2Jq5k2XhtW7+yqEojpz7012hnLB1MbUB/8G45LUd2XjyRnx61k+t9ell2TJdlZrPQ16PD7H6/Ed3kGpXE7RSmSJOtH9/q03yV1J7EIMbkV0OCxsXSQXadfp6qJy6ugRSEA2KCkcHOAcu+fkAm2igLO60QSrD4cQt8+9vrAVoWbn64kIK+iDraGGq2GoAPU9+2jE5G4HlcAPoeFPUv7dlm+KgAEp5fg56tUcPuX07zgaKzVrvtJpST23EvFhF/v4lFKCdS4LHw80Q1n1w5uMzeqJX6SvY7pfSxh1wtDzgFGlGJgYGiBshohtlyjdrw/nOCmMgFELkr1tzdAZkkN/pTtpn0x1RPasp0CgiDwv9HO+HGOL9gsAidCsvDusTCIu7FumM0i8OvLfWChq4aUomp8dKJjTT0kSeLI4wz69lBno1abOirrRPjwX8pB1pb1uasY4GAAF1Mt1Agl9KKEgYGhZ/Lzzz9j5cqVWLZsGTw8PLBz505oaGhg7969Co//9ddfMX78eLz//vtwd3fHpk2b4O/vj23btgGg/oZt2bIFn376KaZNmwYfHx8cPHgQOTk5OH36NABg/Pjx2LdvH8aOHQsHBwdMnToV7733Hk6ePNlVXzaDEnGQXXQlF7QtMo3zNMVIV2OIJCQ2nInukYHhct4c5QwbAw3kltfh5wbtYARB4LPJ7pgbSLm1//d3GB6lFHfb68wuq8WhBjEGxVU933E4N9Aag52o8PsPT0R0qdPdpJ2ZUrG5lUjIrwKPzcJ4r/ZndO6QuQDn97OBfg91rAHAPw2ynN4e46xUJ9HVmHwUVwthos3HSNfmWUry/FMAWPeSCzwtdFt8rLDMMhyQlQ58Pd27TdfRtxfjcCIkC2wWge0L/NucNFAm5TUi/O/vMEikJKb7WWCWf/vaGjNLajB/9yNs+i8GAjE1hXL1neF4bVjnWxsfpxTjTkIhOCwCb4926dRj9AQYUYqBgUEh228mobxWBFdTbcwLVG6OlJzyWhHi86nRt0A7A3x/OR5CsRSDnQwbuYjkzA6wwm+yBrzTYTl4+2j3ClMGmjzseCUAHBaB85G5OBPW/nypkyHZuNIgBPZKdOuBsJsvxiGnvA42BhpYP7FjM+uqgiAILKID2zN69EUHA8OLjFAoRHBwMMaMGUN/jMViYcyYMXj48KHC+zx8+LDR8QAwbtw4+vjU1FTk5eU1OkZXVxf9+/dv8TEBoLy8HAYGLV88CAQCVFRUNPqPoWfgbk6N0kRlt/09IQgCG6d6gsdh4V5SEc5Hdr/LqCXUeWxsmu4FANj/IBWRWeX05wiCwOaZPhjnaQqhRIrXDgYhIb/jI/vKYNuNRAjFUtgaUqJCYaWg2+MM2oIgCHw70wfqXDYep5bgdFh2lz13e51SZ2SvabS7SaslMw0JTi/F49QScNkEXh1q/2wvVIWQJIn9D9Lo26/LAuiVxT9Pqc3VOYFWzUSVjOIanAyt/36vHenU4uOIJVKsPxkJkqQyV4c4t94et/tOCv64Q0VHbJ7pjTEKrhlUBUmS+PBEBLLLamFnqIGvZni3uqksv8/hx+kYt+UOHqeWQIPHxtczvHBoxbONG4olUmyQjTvO62sNG8OuG11UNowoxcDA0IyyGiEOy1w8H01w67R63xbR2dTCz9pAHXnldTgXngOCAD6Z6NHiH/iJ3ubYvtAfXDaB/yJy8fGpjjmUlI2ftR7eGk1ZjD87E0U3+LRGfkUdXZctD8a8n1yE/ArFu3n3EotoV9X3s32gwes5uQXT+1iCx2EhqaAKsbnds1BnYGBonaKiIkgkEpiaNl64m5qaIi8vT+F98vLyWj1e/v+OPGZSUhJ+++03rFq1qsXXunnzZujq6tL/WVurZlOEoeN4W+oBACKyy1s/UIatoSZWj6Augjf9F9NoNK6nMdzFGFN8LSAlgfWnIhpteMmd0YG2+qioE2PJ3ifIK29fo5uyKKiow4lg6gJ/8wxvAIBYSqK0pue7pawNNPDmaEqQ+PZiXJf9HBhqUqJUtVCCOpHiwH2JlKQ3FKf5tc/tAgC/y8YoZ/Sx7PYohdZomIXW0cyjtsgsqaEzUecFNh/dG/bDTfrfj9aPbjUCZO/9VMTmVkBPg9tmeP+J4Cx8fSEWAPDheDfMVdHGeUv89TgDl6LzwGUT+G2+f5stf7nltVi89wk+ORWFGqEE/ewNcOmtYVjY37ZNMastDj1KR1xeJfQ0uN1WfKQsGFGKgYGhGYcepqNGKIG7uQ5GKLDjKouoHGph62WhS9cuT/O1gIdF6zPh4zzN8Nt8f7AI4FhQFn64HK+y19ge3hjhCD9rqmXmg38jWhXJSJLEJ6ciUVEnho+VLjZN80SgrT5Isn63riHVAjE+PEGN7S0eaIsBDoYq+zo6g7YaF6NkgZnnIjrXRMjAwPD8k52djfHjx2POnDlYuXJli8etX78e5eXl9H+ZmZktHsvQtfhaU6M3CfmV7W7Ve324I2wNNZBfIcCWqwlt36Eb+WyyO7TVOIjKrqCbrOSocdnYvTgQDsaayC2vw9J9T7o0S3H/gzQIJVL42+hhkJMRHXDetKm4p7JiiD1sDTVQUCnosvB7HXUOODIhpKRasXj3OLUYeRV10FHjYKRb+9a78XmVuBabD4IAVinZeaRMSJLE+7LYBwCY7NP+vKz2IA84H+Jk1Myh8+u1+sKL/41ygpmuWouPk1lSg1+uUsd/PMEdRq00592Iy8cHsjXxiiH2eH24Q6dff2eIza3Apv9iAFCCmLdVy+OIANWUOe6XO7ibWAQ+h4XPJnvgn5UDlOJoKqisHzd+f5xrjy09aC+MKMXAwNAIsUSKg7LMgteHOzyzit8a8hEAPoeFS9F5IAhgTSv23oaM9zLDN7Ldwh23krul2UUOh83Cz3N9ocalxhRaG+M7G56Da7EF4LIJ/DDbFxw2C9Nk9cMXo5q7C7beSER2WS2s9NU7XDXbVUzxpV7/ufAcZoSPgaEHYmRkBDabjfz8xmPC+fn5MDNTnE9nZmbW6vHy/7fnMXNycjBy5EgMGjQIu3btavW18vl86OjoNPqPoWdgpqMGIy0+JFISMbntG6tU47LxxVRPAMC+B2mIy+u545gm2mr4aAJ1nv3pSjxyyxs7n/U1eTiwrB+MtfmIy6vE64eCIRSrPkKgSiDGX7J12WvDHGWvtf3Ncj0BPoeNTydRAdt77qYivVj1oecEQdAX6i2JUmdCqfXaJB9z8DntcxHtvE25pMZ7mrU73Lo7aDgy++U0T6U+tkgixdEgSpR6uUlJT0m1EL9cqxeg17Xi4CFJEp+cjkKtiHIQzQm0avHY4PQSrD4cAomUxIw+lvhkortKr1GaUiMUY+2REAjFUoxyM8GKIS2PbVYLxPjg33CsPhyCijoxfK10ceGtoVgxxF5ppVFfnI1BpYDa4H65b3OnWm+DEaUYGBgacSexEIWVAhhq8jDRu/2Bj50hSjYCcC+JCg6d4GUGZ9PW618b8nI/G7w/jjrZbTofg+uxrecyqRIHYy26KeSr8zEor22+g1pRJ8Km/yjL8ZujnOmq23GeZiAIIDSjrNFIQGJ+JfbcrQ9+76l1w6PcTKDBYyOrtBbROT33goOB4UWFx+MhICAA169fpz8mlUpx/fp1DBw4UOF9Bg4c2Oh4ALh69Sp9vL29PczMzBodU1FRgcePHzd6zOzsbIwYMQIBAQHYt28fWCxm6dlbIQgCvjJnQGhGabvvN8LVBOM9zSCRkvjsdFSP3ryY39cG/jZ6qBZK6Gr6hlgbaGDf0r7Q5LHxILkY7/8brvJcpxPBWaioE8PeSJPO2zSmQ7x7hygFAGPcTTDU2QhCiRS/dJFrTi5KFVU1f5/qRBJckAk37R3dyyypwdlwSshaPaJ9m6jdQa1QgrVHQunb8xU04z0LV6LzUVgpgLE2H2M96jchSJKE/6ar9O27H4xs9XFOhGTjTkIheBwWNs9sOZspIb8Sy/cHoU4kxQhXY3w/WzWN4K3xxdkYJBdWw0Sbjx9m+7T4WiOyyjD5t3s4FpQl22x3xL9vDFKqgPlfRA7OR+aCzSLw9XRvsLv4vVAFzMqAgYGhEceDqPnzaX6W4KooSwqgdv5SZPXA8sXCqmEdt0GvHuGIBf1tQJLAW/+EIbGbAkgBYOVQBzgaa6KoSogfFYwU/notEUVVAtgbaWJVA8uxiY4a/G30AQBXYii3FEmS+OxMFMRSEmPcTTHavetCHDuKOo+NQY7UWOGdxMJufjUMDAyKWLduHXbv3o0DBw4gNjYWb7zxBqqrq7Fs2TIAwOLFi7F+/Xr6+LfeeguXLl3CTz/9hLi4OGzcuBFBQUFYu3YtAEqgePvtt/HVV1/h7NmziIyMxOLFi2FhYYHp06cDqBekbGxs8OOPP6KwsBB5eXktZk4x9Hz62lMh9Y9SSjp0v8+neECDx8bTtFKcCOm6sOuOwmIR+GamNzgsApej83EluvnPqpelLnYuokpOzoTl4McrqosQIEkSfz+hMiUXD7SlLz6N29ks15MgCIJ2fJ8Jz0F8nurXa4ZaLTulbsYVoFIghoWuGvq1s7lt990USKQkhjobtTm61Z00HJGcHWCl9PX8oUdpAID5fa3B49Q/9p4GUwsz+li2GuJdUFlHj8K9Pca5RdEmu6wWi/c8QXmtCH1s9LBjob9Kr08UcSYsG0eDMkEQwJaX/WCoYMRQIiWx41YSZu54gNSiapjrquHvlQPw/jg3pb7eoioBPj9DCeZrRjj26J/DjsCIUgwMDDRVAjGuxxYAAGYFtD/wsTM0ba/xtdKFr7Vehx+HIAhsnOKJ/vYGqBKI8erBIJS2YNNWNTwOi27w+etxOqJz6sNg4/Mq6QaUjVM9m9nEx3lSotNl2QL4bHgOHqWUgM9hYcMUjy549c/GMBcqi+F2PCNKMTD0RObNm4cff/wRn3/+Ofz8/BAWFoZLly7RQeUZGRnIza0f9xg0aBCOHDmCXbt2wdfXF//++y9Onz4NLy8v+pgPPvgAb775Jl577TX07dsXVVVVuHTpEtTUqPyQq1evIikpCdevX4eVlRXMzc3p/xh6JwNluYZPUosh6YBDyEJPHf+TlYJsvhCL8pquy2PqKG5mOlg5jNo42nA2WmEw91BnY3w3ywcAFSFwokGgtDKJzC5HXF4leBwWZvSpX5eZaFO/YwUVvccpBVCC3gQvM5AkNSKpagxkYeeKRCl5E+BUP8t2uW4KKwV0jtIbI3pullRqUTW2NRClXu6r3CDwxPxKPEopAZtFYH7/egdWenE1vjofS9/+frZPq4+z4Uw0ymtF8LLUwWtDFWdDlVQLsXjPY+RV1MHJRAt7l/Tt8rKf5MIqfHwyEgDVIDjIsXkzYG55LRb++QjfX4qHWEpikrc5Lr01TOk5sCRJuU1LqoVwM9PGWtmExvMAI0oxMDDQ3E0ohFAihZ2hBjzMVZvjkVxQ1ej2KwNsO/1YPA4LOxb6w0pfHenFNfjfP6EdWiwrk0GORpjsYw6SBL67RC24SJLEhrNRkEhJjPM0xXCX5mGa4zwp+/OjlBJkl9Xia9mJfe1Ip2eqi+0q5F9TcHppj25YYmB4kVm7di3S09MhEAjw+PFj9O/fn/7crVu3sH///kbHz5kzB/Hx8RAIBIiKisLEiRMbfZ4gCHz55ZfIy8tDXV0drl27BhcXF/rzS5cuBUmSCv9j6J14WuhAi89BRZ0Yse3MlZKzfLA9nE20UFwtxA9X4lT0CpXD/0Y5w9pAHbnldS2Oms0KsMKakZQ48dHJCDxN65h7rD38IxNBJniZQU+jPsi4t2VKNWTdSy5gEcCVmHyEZ5ap9LkMZeN7xU1EqfIaEW7GUZto0/u0LwD8wIM0CMRS+Frr0eJsT4MkSbrdGQAs9dRpJ76yOCTLNxvjbkI3D4okUozfcrf+mBX9WnUHXYzMxcWoPHBYBL6b5aOw5btaIMay/U+RXEi5jg4u7wf9Lg7zrhVKsOZwCKqFEvS3N6DbthtyNSYf47fcxaOUEmjw2Ph+tg+2LegDXQ2u0l/P2fAc+n37cY5vI5dab+f5+UoYGBiemetxlEtqtLupysMDkwvrQy511Dh0WHZnMdTiY/fiQKhz2bibWITfb3VNu4si3h/nCi6bwJ2EQtxLLMLVmHza9fTZZMWuJ1tDTbiZaUMiJTF/1yMUVApgY6CB17q4WaSz2BpqwtZQA2IpiSepxd39chgYGBgYVACHzUI/eoSvY3/reRwWvpxGOe0OP85QuSDxLKjz2Ngke6377qfSGZhNefclV0zwMoNIQmLVoWBkFNco7TXUCiU4KytOmdfE7WKi0/vG9+Q4m2pjusz19dsN1a7V5KJUSVVjUepCVC6EEinczLThZtb2JmyNUEyLMW+ouAToWbgWW4BbDRzrU3wtlJq9VCUQ46Rs/HbRADv6479dT0StiGrk9LXSxVDnlpsMy2qE+Ew2fvb6cEd4WjQfPxOKpXjjcAjCM8ugp8HFoRX9YKGnrrSvo71sOBuFuLxKGGnx8Nv8Po3EM6FYii/PxWDlwSCU14rgY6WL8/8birmB1ir5+UgvrsYnp6IAAGtHOcHL8vkY25PDiFIMDAwAqN2VW/EyUcrNROXPl9TAKTXJxxxq3Pa1nrSGu7kOvpA1jPx8NQFPUpW/a9kebA01sbA/5fz66nwMvr1E7Qi/OtQeVvotu55Gu1Pve0YJtaj9cLxbu9tgegKBttSFSmhGWfe+EAYGBgYGlTHAgfpbfz+pqMP3HehoiOl+FiBJ4LMzUd3mam4PI1xNMNnHHFISWH8yUuFrZbEI/DzXD96WuiipFmL5gaeoqFPOaOKt+AJUCcSw1FPHAPvGzhx6fK8XOqUAqmmZIIBrsfnN4hyUiYGWYqfU6VBKWJnep31RFceeZqK8VgQ7Qw285KG4sbS7qRNJGrmkANDtzsridGg2qgRiOBhp0lmiQWkl2NpAXNy2wL/Vx/jqfCyKqgRwNNbE2lHNw+KlUhIfnojAnYRCqHPZ2Lu0L5xM2l+CpCz+Dc6iw8q3vtwHJjpq9OcyS2owZ+cD7L1PZWi9OsQe/74+CPZGmip5LUKxFP/7OxRVAjH62RlgbTubynsTjCjFwMAAgHIuFVUJweewENjOwMdnoaHtv72tJ+1hToAVZvaxhJQE/vd3aIs1wKrmzVFO0OJzEJdXiZTCauhpcLFqeOsZBMNd6sVAX2s9TPTumQuflvC31QPAiFIMDAwMzzPyDMEHycWoFUo6fP+PJ7lDm89BRFY5jshCvHsqn0/2gLYaB5HZ5Tj4ME3hMeo8NnYvDoSpDh9JBVVYeyQUYon0mZ/7vKwZbpKPeTO3S28e3wMAR2MtjJfFFuy8nayy56GdUtX171N2WS0ep5aAIICp7XDpiyVS7JGJDyuGOvTYprPfbyUjq7SWvu1sogU3M+WJOSRJ4i+ZW2zhAFuwWASqBGK8cTiEPuZ/o51bjZy4nVCIf4Mpoef72T4KN6S/uxSHU6HZ4LAI7HjFX+njh+0hPq8Sn56mcqTeGeOCQU71OVKXovIwcetdhGeVQ1edi92LA/HpZA+VjtL9dCWefr4tL/spHHfs7Tx/XxEDA0OnCE6nXEW+1noqn1EWSaTILqNOnASBdreetAeCILBpuhccjDWRV1GHD/6N6Jb8EkMtfqOcrDUjnKCj1vp8uSa//uQ8zdeix9rDW6KPNbVwCMss69G73wwMDAwMncfVVBuWeuoQiKV4mNJxt5SJthreHUtlj/1wKa5HCysmOmp0Y9yPl+ORW16r8DgzXTXsWdIX6lw27iQU0q1inaVOJMENWaTCRO/mxQDy9r0aoaTX5ji+LtuoOxuWg6xS5Y09NkRR0Ll8JLKfnUG7RsIuRechs6QWBpo8zPa3UsnrfFYyimvwexNxb5qfcteRQemliMurhBqXRb8PX56Lpn9/ddQ4eKOVzdcqgZgODF8y0A4Bts3X/n/eTcEfd1IAAN/N8sFIV9VPbjSlWiDG6sPBqBNJMdTZCGtkriSBWIKNZ6Px+l/BqKwTo4+NHs7/bwhe8lBtO/bthMJG70l3jDF2BYwoxcDAAAB4mlYKAOhrp/odibzy+gyE5YPtlTrvDgCafA62L/AHl03gWmw+Pf/e1TRcC7TnJPLj5fommt64yHQx1YIGj40qgbjReCYDAwMDw/MDQRAYJRvzlzf2dpRFA+3gZamDijoxvjr/bAKOqlnQzwZ9bPRQLZTgi7Mtv1YvS138Ms8XAHDgYTrtKukMt+ILUCOUwFJPHb4KKt81+Rxo8qiNrIKK3pcrBVCboIOdDCGWkvjzbqpKnsNAHnTeIFNKPro3ox2jeyRJYpdMEFg0wBbqvJ4ZqfDlfzEQiqVwNdWGfEk91Ve5LdqHHlI/z9N8LaGrwcXl6DwcC6pvndw806fV9+eHS3HILquFlb463h/n2uzzZ8Nz6Pa+D8a7YlZA1wuAJEnik1ORSC6shqkOH7/M8wObRSCjuAazf39It2ivGuaAY6sGthrJoQwKKurw7rEwAMArA2ww3qt3TVB0BEaUYmBgAEC5WwAgwFb1olRmSf2OmKp2GNzNdfD2GGonduO56BZ3N1VFjVBMVwcDwK67Ka06toLTS3GzQTjl7YTCFo/tqXDYLHhaUIGhHW1lYmBgYGDoPYySZSDeiCvolBuZzSLwzQxvEARwJiwH9xI77rjqKlgsAptneoPDInApOg9XY/JbPHa8lzl9wf3FuWgEdbKR73I09RwTvc1adLvIM256a64UAKwaRjlrjgdlolJJWVwNkY/vVQrEEIgliMurQHx+JXhsFiZ4NXegNeVxagkissrB57CweGDnW6JVyc34AlyLzQeHRaCvvT6kJOBnrQcbQ+UJJoWVAlyMosZJFw20RWGlAOtlrieAyplrLXLiaVoJDspE2s0zvaHJ5zT6/P2kIlp8WTrIrlXHlSr552kmToflgM0i8Nt8fxhp8XExMheTtt5FZHY59DS42Ls0EOsnurfaLqgMRBIp1h4JRVGVEG5m2vh0kuKipOcFRpRiYOgk+RV1uBaTjz/vpuDLczFYfzIS646F4eNTkfjuUhz+vJuCG3H5SC+u7vGjTAKxBKlFVBueh7nq2xz+k+UkAKoVwVYNc4CvtR4q68T48ERkl47xHXmcgZJqIbT4HHDZBMIzy3CvlVDYLdeoyumhztTcemhGqdLCUrsSZ1MqvyCxQHXBpQwMDAwM3ctAB0OocVnILa9DTCc3IXys9LBYNub+2Zko1Ik6nk/VVbiZ6eDVoVQb7oYzUahuxc28eoQjJvmYQyQh8fpfIY3c4e1BKiVxR7YxNdq95Y07+QhfbxalhjobwcFYE9VCCU6FKt/VrqvOpTOgSqtF9OjeCFdj6Gq0HqkAgHZJzQ6wgqEWX+mv71mRN8ABwLLBdojOoX4XlR1wfiwoEyIJCT9rPXha6OCjExGNRiI3TPFsUTytE0nw4YkIkCQwN9CqWTNfdE45Vh0KhkhCYpK3OT6b7NEt8RXROeXYcJYKin9/nCv8rPXwxblovHE4BJUCMQJs9XHhf0Mxyk2143pyvr0YhydpJdDic7B9ob9SCqF6Mpy2D2FgYJCTWVKD40GZuBCV16HxJG01DgJs9dHXzgDDXYzhaaHTo/KCUgop4UxbjQNTHdWfdI88rg82VeVOA4fNwk9zfDFx613cSSjEP08zMb+fjcqeT06dSELPf3822R1xeZXYdz8Nu++mKqzJDUorwd3EInBkO8eL9z5BalE1gtJKuuzkpyxcTLQAAAn5zPgeAwMDw/OKGpeNIU7GuBabj8tReQpr3dvDu+NccTEqD6lF1dhxKxnrXnJR8itVHm+NdsZ/ETnIKq3FL1cT8Olkxc4FgiDww2wfJBdUIS6vEqv+CsbR1wa0+6IyOqcCxdVCaPLYrYY8y8POe+v4HkC9V0sG2mHD2WgceJCGRQNslbo+ZrEI6GvwUFQlQFGVAOciKFFqajtEm8T8StyIKwBBgBYkexp776citagaxtp8TO9jid13U8EiqHB8ZSGRkjgsczktGmCLv59k4npc/dju4oG2cDfXafH+W68nIqWwGibafHzSxO2TWVKDpfueokogxgAHA/w017dbguQr60RYczgEQrEUo9xMMM3PAvN3P0JwOhVtsmq4A94b66pyd5Scs+E52HOPGmn9cY4vHI21uuR5uxPGKcXA0A6yy2rx7rFwDPvhJrbeSEJSQRUIAnAz08Ykb3OsGu6AdS+5YP0EN7w9xhnLBtthkrc53My0weewUFknxq34QvxwOR6Tf7uHId/dxJfnYhCWWdYtIdxNkdfxuppqd6lYZqtEa3FLOJlo4f2xlJV+84XYLglUPRaUicJKASx01TCjjxWWDbIHQQB3EgqRXNhcrPlF5pKaE2gFawMNOvj9cWrnbP/dCe2UUmHFMwMDAwND9zNZduH7X0Rup9cyOmpcbJjiCQDYeStZ4Tmyp6DOY2PTdC8AlBgQlV3e4rEaPA52LQqErjoX4Zll+PxMVLvfozuJlEtqkJNRq8UzJtrU+F5PDopvDzP9LaHJYyO5sBoPkouV/vjyEb6bcQXILKmFBo+N0e3Y8Nt9l9pcHOthCnsjTaW/rmclv6IOv11PBAB8NN4NN2VC0SBHI/pnQxlcj81HTnkd9DS48LLUbRTir6fBbVVIjswqpzdpN033gq56vTutuEqAxXufoLBSADczbexaHNgtbiCSJPHRiUikFdfAUk8dcwKsMOW3ewhOL4W2Gge7FgVg/QTVj+vJScivxIf/RgAA3hjh+FznSDWEcUoxMLQCSZI4FpSJL8/FoFpWezzEyQhzAq0w3MUYehq8Nh9DLJEiLq8ST1JL8CilGHcTi5BdVou991Ox934q3My08XJfa0zvY9mux1MFcteXs6nqlfiGI2ld1WKybLAdzoRnIyq7At9ciMUv8/xU9lxCsRQ7b1ENKK+PcASPw4KNoQZGu5niWmw+Dj5IwxfTvOjjH6cU435SMbhsgm746O9ggKNBmXic0htFKepnKL2kBkKxVOVNjgwMDAwM3cMYD1PwOSykFFUjJrei026pid5mGOFqjFvxhfjkVCT+XjmgR7nJGzLS1QSTfMxxPiIXH5+KxKnVg1t0dtgYauC3+X2wdN8THAvKgrelLhYNtGvzOeSZksNcmjurGyIf3+vtopS2GhezAqxw8GE69j9Iw2AnI6U+vjzsXB5S/ZKHaZuB5QUVdTgdSrmqXhvWM11Smy/Eoloogb+NHmb0scS4LXcAtM8F1hHk79ucACt8dDICtQ3GbN8b69ritYtALMG7x8MgkZKY7GOOcZ714kqNUIzlB4KQWlQNSz11HFjer82GalWx734azkfmgsMi4GWpgzVHQiAlKePBzlcCYNeFgmRFnQivHwpGrUiCwU6GeLcHO0eVTa+7Wti+fTvs7OygpqaG/v3748mTJ60ef/z4cbi5uUFNTQ3e3t64cOFCo8+fPHkSY8eOhaGhIQiCQFhYWLPHqKurw5o1a2BoaAgtLS3MmjUL+fkthxwyPB9IpCQ+PxOND09EolooQV87fZxZMxh/vdof0/zaLyBx2Cx4Wepi+RB77FociJDPXsIfiwIwzc8CfA4LcXmV2HguBgM338DGs9Eqq8VtjewyKgTc2kD1zqVgWcsfAPhY66n8+QDqe/D1dCpQ9VRoNh60ku30rJwLz0FOeR2MtfmYG2hNf3zZYDsAwL/BWY2EuS3XqF2uuYHWdItHfwdDAEBkdnmruRU9EWMtPtS4LJAkujxcvqdAkmSPcEAyMDAwqBItPoeubD8fkdvG0S1DEAQ2TfMCn8PCo5QSlWQLKZMNkz2gzecgIqschx6mtXrsMBdjfDjeDQDwxbkYPE5p3QlUIxQjRDYyNFzBuH9DTJ6DTCk5i2TZYtdj85U+jkg38MkykKb6ti3a7H+QBqFEigBbfQTYGij19SiDp2klOB2WA4IAvpjqhfj8SiQWVIHHYSnVWROXV4EHycVgswhUCcQIzSijP+durtNqJMav1xKRkF8FIy0evmywGSuSSLHmcAjCM8ugp8HFgeV9YaqjPGdXR3iaVoJvLlCNf2IpicvR+ZCSwCx/K5xaPbhLBSmplMR7x8KRUlQNC101bH25Dzhd5M7qCfQqp9TRo0exbt067Ny5E/3798eWLVswbtw4xMfHw8TEpNnxDx48wPz587F582ZMnjwZR44cwfTp0xESEgIvL+qXo7q6GkOGDMHcuXOxcuVKhc/7zjvv4Pz58zh+/Dh0dXWxdu1azJw5E/fv31fp18vQfZAkiQ/+jcCJkCwQBLUT8PpwR6XMOavz2BjnaYZxnmYorxHhdFg2/n6Sgbi8Sux/kIZDj9Ix1dcCb45ygkMXzRDnyEQpSz11lT/Xo9T6BZncUt0V+Frr4ZX+tjj0KB2fnonCxbeGgs9Rrk2YJEnsvU/NgC8dZNfIhjzI0RDOJlpILKjCv0FZWD7EHmGZZXiYUgwOi8BqmUsKoL4PlnrqyC6rRXB6aZu7pT0JgiBgoaeOlMJqZJfWwtaw51neFVFWI0R6cQ3SS2pQXCVAtUCMWpEEPDYbmnw2DDR5sDPShKORFvhcFuLzKhGTW4GYnApklNQgt7wWBZUC1AolEIilYBHUBZuuBhe2BppwMNaEv40+Bjoadtvii4GBgUHZTPIxx6XoPPwXkYv3x7l22uFkbaCB/412xg+X4/H1+ViMcjPpNvd4W5joqOGDCW747HQUfrySgPFe5jDTbfnv+mvDHBCVU4Fz4TlYcyQEZ9cOgUUL662wjDKIpSQsdNXabE8z0ZGLUr03U0qOs6k2Amz1EZxeipOh2Xhdie1rDQPNddW5CrM9G1ItEOMvWYZST3RJSaQkNpyhArlf7msNbytdfHsxDgAw0tVYqY6j/ffTAAAWemo4HpTV6HNfTPVs8booPLMMO29TUwNfTfemhUGSJPHxyUjcjC+EGpeFPUv6wslEW2mvtyMUVNRh9eEQiBuUUfHYLGyc6on5/ay73K255VoCrsTkg8dmYccrAT0yWF+V9CpR6ueff8bKlSuxbNkyAMDOnTtx/vx57N27Fx999FGz43/99VeMHz8e77//PgBg06ZNuHr1KrZt24adO3cCABYtWgQASEtLU/ic5eXl2LNnD44cOYJRo0YBAPbt2wd3d3c8evQIAwYMaHYfgUAAgaB+16KigqlG721svZ6EEyFZYLMIbJnnhynt2FXpDLoaXCwZZIfFA21xN7EIf9xJxv2kYpwKzcbZ8BzMDbTGW6OdW13sKIOcMmpB09IiSZk0HEkz6uI/uO/JAlVTCqux+04K1o5yVurjP04tQXROBdS4LCxosntEEAQWD7LDZ6ejcORJBpYNtqPH/Kb5WTYTBPs7GOBkSDYepxb3KlEKoES1lMJqZJX2TKcUSZKIy6vEvcQihGaWIiyjDDkdbEdqCykJVNSJUVEnRmZJLe4lFeHgQ2qR62uth9n+lpjhbwUtfq86DTMwMDA0YrS7CdS5bGSU1CAiqxy+z+CAXjnUAadDs5FYUIVvL8bh21k+ynuhSmZhPxucCM5CWGYZvjgXjd9fCWjxWIIg8N0sbyQVVCE2twJvHA7BsVUDFG6MBclcUgF2bbtz5LlBz4NTCqDGw4LTS3EsKBOrhjkoTRTQa5BjNNHbrM1YgaNPM1FRJ4a9kSbGtNJ+2F38/SQDMbkV0FHj4L2xrpBKSZwLp0YNp/lZKu15SquFtGsxs6Txem6KrwX62Sv+Ga0TSfDu8XBIScqV1tC59dOVBBwPzgKLALbN91dpA3driCRSrD0S2mj01VJPHTsW+j/T37DOci48B1tvJAEAvp7hBb9ueA3dTa9ZDQuFQgQHB2P9+vX0x1gsFsaMGYOHDx8qvM/Dhw+xbt26Rh8bN24cTp8+3e7nDQ4OhkgkwpgxY+iPubm5wcbGBg8fPlQoSm3evBlffPFFu5+DoWcRlFaCX69TwdObpnmpTJBqCEEQGOZijGEuxojIKsOWa4m4EVeAv59k4GQI5apZO9IJmiq4gJVKSXrMylzF4pdYIkVYZhl926ALnVIAtUP22WR3vPVPGLbfTMacQGululbkTRkz/a2gr+Brm+Znga/PxyCpoAqnQrNxOSYPAPD68OY7cf3tKVHqaYNxx96CfAwxq6zniFJSKYlHqcU4H5GLm3EFCkUoE20+bAw0YKqrBi0eB4kFlQhpYFVvieEuxlg22A7muurQ5LPB57AhJUlUCcQoqRYitagaCXmVeJxagqiccoRnliE8sww/X03AquGOWDbYTumuPQYGBoauQIPHwRgPU5wLz8Gp0OxOX9AJxVKkFFVhgIMhEguq8M/TTASll8LPWg9SkoQmjwMddQ70NXiw0teAraEG7Aw128wGUhUsFoHNM70x+bd7uBiVh2sx+Rjj0bKAQQWfB2Dyb/cQnlmGb87HNsqXlPM0jdq4C2zHxbp8fK+sRgSBWNLrzyOTfMzxxbkYpBRWIySjTGmCRcO18xSf1tf0YomUXsu9OtS+W5rgWqO0Wogfr8QDAN4d6wpDLT6C0kqQXVYLLT4Ho9yaTw51lr+fZkAgljb7uDqXjfUT3Fq835ZriUgqqIKRFh9fTPWkP37wYRq23aSEl29meLf6+6JqvjwXgydp9Zvkw1yM8es8P4Vrd1UTkVWG946HA6CceXMaRH+8SPQaUaqoqAgSiQSmpo1/gE1NTREXF6fwPnl5eQqPz8vLa/fz5uXlgcfjQU9Pr92Ps379+kZiWEVFBaytX8wfsN6GSCLFByciICWpNpAF/VuelVYVPlZ62Lu0L56kluD7S3EISi/F77eScSokG59Odsckb3OlWkorBWKIJJR1VR6aqSoSC+pbdbT5nG4JwZ7qa4H9D9IQmlGGn67E4/vZvkp53LSialyLpbLmlg+2V3iMjhoX4z3NcDosB+uOUSegMe4mdGNdQ/rIaqCjssshkZI9bmHUGpZ6lNCX2wNEqfTiahwLysTp0Bw6Ow0A1LgsDHQwRF97A/hZ68HHSg9afA7Ka0Q4GZqFf55kIr5Bg6A6l42hzkZwM6MaKlOKqnElOg8CsRS3EwpRViPEd7N9aEEOAEwBOBoDfRvseBdWCnAmLBuHH2cgtaga316Mw4ngLPw4x7dbducYGBgYnpVZ/pY4F56D02HZWD/Rrd3iSHJhFS5F5eFuYiFC0ssglDS+AE4qqKKLWBTBIqiGXW9LPfjZ6GGokxFsDTW6bOzG3VwHrw61xx+3U7DhbDQGOhq2unlobaCBX+b5Yvn+IBx4mI4AO4NG+UYSKUln9gTatS3I6GlwweOwIBRLUVAh6JJcUFWircbFBG8znAzJxvGgTKWJUhFZZfS/5ZmdLXEhKg/ZZbUw1ORhVheV8XSEn67Go6xGBDczbSyUXaOcDqPcTGM9TZXWXieSSHFI5u5uypqRji1OVoRklGLXHWoK4JsZXrTIcyEyFxvOUiOH74xxwcutZFGpmt13UnDoUf3X9tZoZ/xvtHO3rLPzK+qw8mAQBGIpRrrW58+9iPQaUao3wefzwee/WHOgzwvHg7KQUlgNQ00eXVHcXfSzN8Dx1wfiakw+Np2PQWZJLdYeCcURxwx8Oc0LTibKyZuqqKVCt9W4LJXvskVm1dcnq1oAawmCIPDpJA/M+v0BjgdnYckgu043BjXk4MN0kCQwwtW41e/NnEBrnA7LoW+3lJvgaKwFTR4b1UIJEgsq4Wam88yvsasw0KS+t6U1wm55fpIk8SilBHvvp+JabD7kmePaahxM8qYaYAY6GjZavCUXVuGrOyk4FZpN7wzyOSy85GGKSd7mGOFq0mxHvrxGRLVo3ktFeFY5pvx2D59P8aQDWxVhrM3Hq0MdsHSQHU6H5eDbi7FILKjC7J0P8N0sH8zsgYtgBgYGhtYY6mwMUx0+8isEuBFbgAne5i0eK5GS+C8iBwcepDVzomqrceBmpg0tPgc346kGOh01DlaPdEKNgBqHLqoSILOEyv8rqxEhIb8KCflVOBFC5d1Y6atjqLMxxnqYYrCTkco3v94a7YzzEbnIKq3FlmsJ+GSSR6vHj3IzxZqRjth+MxkfnYiAh7k2namTWFCJKoEYmjx2u875BEHAVIePzJJa5FXU9XpRCgDmBFjjZEg2/ovIxYYpnkpxwt1JqC+3aU14IEkSf95NAQAsHminNIFHWUTnlOPI4wwAwMapnuCwKUHyP1nJwIw+yhvduxKdj1wFjnJrA3W8OlRxzladSIL3ZWN70/0sMFbWtvc4pRhvHw0DSQIL+tvgf6OdFN6/K/jrUTq+lgWbA8C+ZX3psoaupk4kwWsHg5BfIYCziRa2zu/TqzaglU2vEaWMjIzAZrObtd7l5+fDzExxy4CZmVmHjm/pMYRCIcrKyhq5pTr6OAw9H4mUxI5blK10zUgn6Kp3TzVpQwiCwFhPMwxzMcbO28n4/VYyHiQXY+Kvd/HOSy5YOdT+mZsZymWiVFdUsUZm14tS3WGRlRNgq4/JPub4LyIXX5+PxeFX+z/TzmqdSEIviJe0Ufc8sMkuXWALuRFsFgEfKz08TClGeGZZLxOlqO9tSXXXilIkSeJKTD62Xk9EdE59lt8wF2PMC7TGaHeTZovM4PRS/HE7GVcbiFduZtpY0N8G0/wsW/07oKvBxTsvuWBBfxt8cioK12Lz8dnpKKQUVuHzyR6t/kxx2CzMDrDCaDcTfHQyApej87HuWDhKqoUtLvgYGBgYeiJsFoGZ/lb4/VYyjgdntShKXYnOw7cX45BSVE3fb6izEUa7m2KIkxHsGricTgRn4d3j4RBKpJjkba5QcCmoqENkdjnCs8rxJLUYwemlyCqtxd9PMvD3kwzoaVDu5Cm+FhjoYAiWCi74NHgcbJruhWX7nmLv/TRM87OEl2XrG13vjHFBSDpVdPLGXyE4vWYwNPkcRGdT5y1PC912X5ya66hTopSScxG7i/72BrDSV0dWaS2ux+Vjchvjdm1RK5SgViRp17FP00oRkVUOHoeFVwZ0n5NHESRJYuPZaEhJYLKPOQbI1pKUU1sEY20+BjkaKe359slKewCAyyboiYrPJnm0KNb9fDUByYXVMNbmY6NsbC8urwKvHgyCUCzFWA9TbJrm1eUB4gD1/u24lYwfLsfTH7v53gjYd2G7XtPX8+GJCIRnlUNPg4s/lwRCuwuuw3oyvaZnkMfjISAgANevX6c/JpVKcf36dQwcOFDhfQYOHNjoeAC4evVqi8crIiAgAFwut9HjxMfHIyMjo0OPw9DzuZNYiKzSWuiocVod2yNJEkKxFJV1IggVzFqrAjUuG2+PccG1dcMxwtUYQokU312Kw6zfHyCxwYhRZ5CLUl0hwkXl1ItS3R3w/OF4N/A4LDxILsaNuIJneqyLUbkorxXBUk+9zVDypuMJrSEf5wrLLG/9wB6GXJQqrRF1yfORJIkbcfmYsu0eVh0KRnROBdS5bLwywAbX1g3HweX9MMnHvNFCKiq7HEv3PcGs3x/gSgwlSI1xN8Xx1wfi4ltDsXigXbt/J0x11LB7cQA+HO8GggD23U/DNxdiQZJkm/fV1+Th94UBtGPuq/OxOB6U2bk3goGBgaGbmBNAuTxvxRegoKKxQFJYKcCrB4Lw2qFgpBRVQ0+Di3UvueDhR6Owf1k/LBpgC3sjzUYXqzP9LTHAwQB1Iik+PxOl8O+piY4aRrubYt1LLvjntYEI+3ws9i3ti8UDbWGkxUdZjQj/PM3Ewj8fY8SPt7DzdjKKq5QfCj7S1QSTvM0hkZL45FQkJNLW//Zz2Cxsnd8HJtp8JBZU4ZNTkSBJEjG5lCjlYdH+TShTWRZofsXzIUqxWASd5SoP734W5LEKAKCv0fo5fc89yiU1s49lj2s+Oxueg6dppVDnsvHJJHf646dlQeTTfC2U5rKJzCqnA/cBwFDmfh/qbISXWsiBCk4vwW6Zy2zzDG/oafCQXVaLpXuforJOjEBb/W5zAsmD1xsKUvc+HNltghQAbLuRhDNhOeCwCOxY6N9rmqpVSa9xSgHAunXrsGTJEgQGBqJfv37YsmULqqur6Ta+xYsXw9LSEps3bwYAvPXWWxg+fDh++uknTJo0Cf/88w+CgoKwa9cu+jFLSkqQkZGBnBzqD198PPUDa2ZmBjMzM+jq6mLFihVYt24dDAwMoKOjgzfffBMDBw5UGHLO0Hs5KxupmulvRV+8FlYK8DClGE9Si5FUUIX04hoUVAoaLTh4HBZ01bmw1leHraEmHIw04WutB19rPaULPdYGGti3tC9OhGTji3PRCM8qx6St97BurAteG+rQqV3Aii4SpUiSbJQNoaXWvX9+rA00sHywPXbeTsbmi3EY4WrS6ZOl3E79cl/rNh/jbFjjRVZxlaDFxY+fNbXbGt4gHL43YKBJ/Sx1hVMqMqscX/4XTQfCa/DYWDbYDq8OcVDoxksurMLPVxJwPpKyu7NZBGb2scSq4Q7PVEtMEATeGOEIfQ0uPjoZid13U2FnpImF/Vse5ZPDYhH4cLwrSJLEH3dS8MmpKLib67S5287AwMDQU3Aw1kKArT6C00txIiQbb4yghPYnqSVYeyQEBZUCcFgEVg5zwJqRTm1uTBEEga+me2PCr3dwM74QF6PyMLGVsUCACrQe6WaCkW4m2DDFE49TinEuIhf/ReQgo6QG316Mw89XEjDB2wwrhzoo9W/s51M8cCehEOFZ5fjrUTqWDLJr9XhjbT62LfDH/N2PcDosB4F2BoiWbdx1RJQy06HWD4pGrXorU3ws8PutZNyML0RFneiZnPxnGwhb5bUiSKWkwrVyRnENrsTIckGHKM4F7S6qBWJ8Ixs5WzvKCea6VJ5TRZ0IV2Wi23Qlju59dT6G/rf8d5rDIrBhimIHODW2FwFSlsc7xsMUZTVCLNn7BHkVdXA20cKfSwK7ZRwyu6wWrx8KbjSpcXL1oEb5n13NqdAs/HSVKtT6YpqnUh1uvZleJUrNmzcPhYWF+Pzzz5GXlwc/Pz9cunSJDjPPyMgAi1Vv/ho0aBCOHDmCTz/9FB9//DGcnZ1x+vRpeHnVt12cPXuWFrUA4OWXXwYAbNiwARs3bgQA/PLLL2CxWJg1axYEAgHGjRuHHTt2dMFXzNBVSKQkbsVTbpnxXmb4LyIHR59m4l5SEdoyOwjFUhRWClBYKWiWj+BkooXhLsYY6WqCvvb6SslsIggCswOsMMTJCB+fisSNuAJ8ezEOdxML8ctcP5h0sE1Onp+j6pNFYZUAlXVi+rZ2NzulAGD1SEf8/SQDSQVVOBee06mTekJ+JZ6mlYLNIjC3b+uFBiRJYt+DtEYfuxyd36IzT+6Uis+vRK1Q0m0tQx1FX4MSg8prRRBLpM88YqqIwkoBfrwcj2PBmSBJKhNtySA7rBrmqLDVsbxWhF+vJeLgwzSIpSQIgtpZfHuMC+yUuFv2cj8blNaI8N2lOHxxNga+VnrtuvAhCAIfTXBDciEVmP+/v0Nx8e2hvb5NiYGB4cVhXqA1gtNLceRJOlYNc8CVGOpvmVAihbOJFrYt8IerWfvFfycTLbwx3BFbbyThi3PRGOps1O4RFzaLwCAnIwxyMsLnkz1wLjwHhx+nIzyrHGfCcnAmLAdDnY3wxghHDHQwfOaRIlMdNXww3hWfnYnGD5fjMc7TDGZtNBr3szfAh+Nd8c2FOHxxLpoekfLsiCglEyjynhOnFAC4m2vDyUQLSQVVuBqdj1kBnctaLK8V4bYsmwwApCRQJRQrFLn2PUgFSVJuIBcF5TPdyW83kpBfIYCtoQZWNBDMLkXmQSimfrc68jPTGgUVdXicWt9KV1BJ/VwtHWTX4sbdj5fjkVJUDVMdPjZM9kSdSIIVB4KQVFAFMx01HFjeD3oaXR/Z8TC5GGuOhDTaIP1quhf8bZQToN8ZHiQX4YN/IwAAq4Y5tGvj8kWh+68KO8jatWuxdu1ahZ+7detWs4/NmTMHc+bMafHxli5diqVLl7b6nGpqati+fTu2b9/ekZfK0IuIzC6nR40+PhlJ5x0AVLvKQAdDeFvpwM5QE+a66lDnscHnsCAQS6na9yohMkpqkFZcjfi8SoRlliGjpIZujtlzLxWaPDZe8jDF9D6WGOJk9MwX6ma6atizJBDHg7Kw4Ww07icVY8Kvd/HjXN8OhfaJZONkHLZqLbXJBdWNbrfWUNNV6Khx8dowB/xwOR5briVgso95h78vfz+hXFKj3Uxg2oYg+DStFLG5FbSA8sftFJyPzGlRlDLXVafDY6NzylvMn+ppNPze1ook0FaiKCWRkjj0MA0/XklAlYASOaf7WeDDCW707mHT448HZeKHy/Eoli1Mxrib4P1xbh26OOoIrw93QHB6Ka7F5uPjU5E4vXpwu1yMBEHgxzk+GPvLHaQUVWPPvVSsHtF9gaAMDAwMHWGKrwW+khWzvP9vBE6HZUMiJTHe0ww/z/OFBq/j5/3VI51wNjwHacU1+OlKAp1V0xHUeWzM7WuNuX2tEZFVhr33UnEuIhd3E4twN7EIftZ6eH+cKwY7PZtjYUF/W5wIyUZYZhk2/ReD7Qv927zPyqEOCEorpV06AODcAdeumWzdkf8cOaUIgsAUHwv8ci0B5yJyOi1KXY7Og1AihYupFtKLayAQS1Fe09x5VVknwvEgKhd0RQ9zSaUUVtFjhU3znE7JRvem97FUWk7T6J9u0/+eF2iNo0GZMNLi460xzgqPf5pWgj2y/KnNM72hyWfjjcMhCE4vhY4aBweW92uxqU9VkCSJfffT8PWF2EaTLbP8rejGwu4gMb8Sqw4FQyQhMcnH/IVu2lNEr8mUYmBQJY9Siul/pxRVQ1edizdHOeHO+yNx8a2h+HyKB2b0sUIfG32Y6apBV50LNS4buupcWOqpw9tKF5N8zLFmpBO2zu+DOx+MRMhnL2HHQn/MDbSCsTYf1UIJToflYOm+pxiw+Tq++i8GaUXVrbyqtiEIyp1z7s0hcDfXQXG1EMv2PcVX/8XQYlNbiGV/sDks1f45SC5sXOvc3ZlScpYOsoOBJg9pxTU4GZLdofsKxVJ6UTC/HSe6/Q+oE/eMPlZY2I/aHXmYXNxqxoWXrBkwNreixWN6GnwOC/L1UXsDRttDYn4l5ux8gI3nYlAlEMPHShcn3hiILS/3UShIxeRUYMaO+/joZCSKq4VwNNbEweX98OeSvioTpADq9/KbmV7Q5nMQkVWOYx3IiNLT4OGjCdRCZfuNJJR1U4MhAwMDQ0dR57ExJ5ByDJ8IyYJESmJOgBW2LejTKUEKoFzcm6ZTEw4HH6Y1avHtDD5Wetjych/cem8EFg2wBZ/DQlhmGRb++RgL/3yEsGcYl2ezCHwzwxtsFoHzkbm4Gd92XiVBEPhhjm+jj3E7sEkod2M9T+N7ADDFlxrVvJdY1OkoAHkm1RQfC+jJ8qTKFGRdHn2aiSqBmJ5u6Els+i8GIgmJEa7GGO1ev+GcU1aLR6nUtcs0v2cLg5cTmVWOStlmn4ORJj36+PFEN4UOxVoh1bZHksDsACuMdDXBZ2eicTUmHzwOC7sXB6p0raWIWqEE646F48v/YhoJUh7mOvh6RveErAOU42zpvvp8rZ/m+KqkeKE3w4hSDC88eeV1+PZiHH175VB73P1wJN4d6wobw87PHBto8jDR2xzfz/bF4/WjcXL1ICwZaAtDTR6KqoT4814qRv50C8v2PcGt+AJI2wjGbA0nEy2cWj0IS2UZBn/eS8XC3Y9p221riGXiVUcWQZ0hpbCxANdTRClNPgdvyEKmf72e2KHw+pvxBSirEcFUh49hzq0vZHLKanE5mtoJXTLIFjaGGvCx0oWUBC5F57V4Pzdz6oQem/dsgfZdCUEQUJft5tUJn70MQCiWYuv1REzaeg8hGWXQ4lNtR6dXD0aAbXP3WJ1Igh8ux2HqtnuIyCqHNp+DTye549Lbw9oMolcWJtpq9M7itptJ9O9Ze5juZwl3cx1UCyU4LMsrY2BgYOgNjHarv3D2ttTFd7N8ntkZPtTZGFN9LSAlgY/bESTeHqwNNLBpuhfufjgSSwfZgcsmcD+pGNO338eqQ0FIL+7cpqGHhQ6WydZiG85Eo64dGzO66lzM8q93Ax1oMubfGnJRqqCy7pnWkT0NB2NqJE0sJXEtJr/tOzShsFKA+0lFACgHn556faxAQyRSEvtl7/fywfbdJloo4npsPm7GF4LLJpo1+p4NzwFJUiOgyshHEoqlmLLtHn3bxVQbtSIJAm31MaOFaIvvL8chrbgGZjpq+GyyB7ZeT8LfTzJAEMDWl/3Qv0nbtKrJLKnB7J0PcCo0u1G+q646FztfCeiWTCsAqBGKsWJ/ELLLamFvpIldi7snX6unw4hSDC80RVUCLNj9iL69eKAtPpnk8UyhiopgsQj42+jji2leePTxaOxZEogRrsYgSeBmfCGW7nuKCb/exbnwnE4vttS4bGyc6oldiwKgzefgSVoJpvx2DyEZpa3eT55hoIrcn4Y0XeD1hPE9Oa8MsIWxNh/ZZbU42gFXy8kQyu493c+yzYDzo08zIZGS6G9vADczavZfHtp6KaoVUUp2bG9ySgH1GWV14mdzSqUUVmHW7w/w89UECCVSjHYzwZV3hmHRAFuFu0xP00owcetdbL+ZDLGUxAQvM1x/dzheHeoArop/xpvyygBbGGjykFVaiwutfI+bwmIRWDmUGiE49DBdKRdgDAwMDKpGKiWx/VYSfTvAVl9pboBPJ7tDW42DyOxyHHyYppTHBKgNhI1TPXHj3RGY5W8FFkFlPb708x18fykO1QJx2w/ShLdfcoG5rhoySmqw/WZS23cAVdIh55sLcYjKbp8jzESbD4Kg1nLFXVAu0pWM9zQDAFyJaf/5U87FqFxIScDXShd2RprQlTulahu/R1ei85BVWgt9DS5m+isvLPxZqRNJ8OV/VOD4iiEOcDDWavR5eeteS4JRR9lyLYH+t5uZNi5F54FFUEHcioS6xynFtJi3eZY3LkTm4hfZY3w5zQvjvVovJVA295OKMHXbPUTnVMBAk4dxnlTeNIsAti3o80wmg2dBIiXxv79DEZldDgNNHvYt7asw95SBEaUYXmCEYilWHAhqlB8lr6FVJVw2C6PdTbF/WT/cfG8Elg22gxafg/j8Srz5dyjG/nIbJ2W2984w1tMMZ9YOhpOJFvIrBHj5j0d0O1x3kl1W2+g2n9Nz/vyo89hYI2sK2n4jCYJ2CCllNULciKOs+TPaWMhIpCQ9wtUwP2qsrFr3UUoxnY/UFHeZUyo+r7JX7YLKnVK1ws6JUiRJ4p8nGZi09R4is8uhp8HFry/74c8lgQrzCQRiCb65EIu5fzxESmE1jLX52PlKAH5/JaDD4f/KQo3LxqIB1Jjm0acd+x2c7GMBHTUO8irqEJRW0vYdGBgYGLqZw08ycD+pPg7hbHhOu5xC7cFEW43OYPnxcjxymqwpnhVrAw38NNcXl94ehiFORhBKpNhxKxmjfrqFU6FZINtqvWmAFp+DDVM8AAA7byc3ah5uidQGa1GhRIo3/w5tcV3QEC6bBSNZg2/+cxR2DlDrWQC4k1jUYXFQ3nQsX9frqSse39tzj4pVWNjftke5V/bcS0V6cQ1MtPlYO6pxtmRsbgXi8irBY7MwUQniT3B6KXbcSqZvy8XNhf1t4WnRvKilSiDGe/9SY3tzA60glpD45FQkAODNUU70uqcrIEkSe+6lYtGexyitEcHbUhefTXbHFdlkwvoJ7hjaxiSDKl/bF+eicS22AHzZOKMyi3WeN3rOVSEDQxfz05V4hGeWQVe93hVl1sUXr/ZGmtgwxRP3PxyFt8c4Q0eNg+TCaqw7Fk7VIMcVdGghJMfBWAun1wzGeE8zCCVSfHwqEh+filSYMyUf2+vIeFFnkOcdGGtTiydVB6t3lPn9bWCizUdeRR3OhOa0efy5iFyIJCTczXVoN1NL3E4oQG55HfQ1uBgnW2QB1PfJ3kgTIgmJe4mFCu9rZ6gJHoeFGqEEmaU1HfuiuhE+lzq9dCZTqqxGiDf+CsFHJyNRK5JgkKMhLr01DNP8FId5JuRXYvr2B9h1J4VeJF17ZzjGe5kpePSuRT6S8TC5uF3jtHJ4HBa9IL8QmauS18bAwMCgLMprRPj5SjwA4LPJHrDQVUNJtRBnwjqW1dgaC/rZIMBWH9VCCT4/E92p9VFbuJhq49CKfti1KAA2BhrIrxDgnaPhWPjn4w7lgI7zNMMoNxOIJCQ+PR3Z5mtNkeVu/rk4EOa6akgtqsbnp6Pa9VzytWvec5Yr5WKqBVtDDQjFUtxtYY2kiOyyWgSll4IgqA0eAHSmVMPxvfDMMgSll4LLJrB4YM9pQcspq8W2G5TD7uOJ7s3iLuQuqVFuJrQDrLPUCMV473h4o48VVgqgr8HFu2NdFN7na1mZgaWeOiZ6m2PtkRBIZWuvdS8pvo8qEIgleP/fCGz6LwZSEpjpb4lfX/bDV//FQiwlMc3PAq8O7b7g+h23knHwYToIAtgyzw8Btt3X+tcbYEQphheSmJwK7LpLtVl8PcOL/riOunLH9tqLrgYXb49xwf2PRuH9ca7QVeciIb8Ky/Y/xSt7Hrfbxt0QLT4Hv7/ijw/Gu4IggCOPM7B8/1NU1DXeJZKPNMnH+FRBlUBMLwTkO3q8Lh6lags+h02fvHbeTm7TqXZKNro3qx1277+fUC6pmf5WzXbiRsnyN67HKg5E5bBZcDGlbNuxub0nV4otE486es0QkVWGSVvv4VJ0HrhsAusnuOGvFf0VVmuTJIn991Mx5bd7iM2lLNu7FgXg+9m+z7xQUxY2hhrwtdaDlASuxbQdetuQMe6Uk+5hgyIGBgYGhp7IjltJKK0RwdlEC0sG2mLpYDsAwJ93U5UmHrFYBDbP9AaXTeBabD4ut5LH+CwQBIGxnma48s4wvD/OFXwOCw+SizFuyx3suJXUriIZgiDwxVRPqHFZeJRSQpeiKKJOJEGOTFDqY6OHrfP7gEUAJ0Oz8W9wVpvPRYedP2dOKYIgaEe53PnSHuQB5/3sDOj3Rk+DGplqWB4id0lN8bHoNke1IjZfjEOtSIK+dvrNQswlUhJnZC6w6UoY3fv2Ylwjl56cD8a70e9ZQ27GFdBr2tdHOOLto2EQiKUY5WaCb2Z4d1kmV0FFHV7e9Qj/BmeBRVBC+DczvPHWP2EorhbCw1wH38706baMsKNPM/DDZUqk/3SSByZ4d+04Y2+kZ10VMjB0Ed9ciAVJApN8zDHCtT6Us7tHyrTVuFgzkmr9e22YA3hsFu4nFWPKtnv44N/wDjeQEASB1SOcsHtRINS5bNxNLMLs3x8gq4HjhkOLUqpzSuXKbPY6ahzwZO9xV+f7tIcF/W2ho8ZBSlE1rrSy2E0vrkZIRhlYBDC1jZHP/Io6esxvfj/rZp+Xh8LebCXsXu7EisvrXblSHeWfJxmY/ftDZJfVws5QAyffGIxVwx0VZpKU1Qix4kAQNp6LgUAsxXAXY1x6eyjtLupJjJCFqz9O7Zi41NeO2lVLyK9C6XOWFcLAwPD8UFEnwl+P0gEAH453A4fNwsv9bKDF5yCxoAq3EtrvcmkLF1NtrBpGjdtvOBvdbKNNmahx2Vgz0glX3qFG+gRiKb6/FI8pv91DRFZZm/e3NtDA/0ZThRdfn49tsU1V7nBS47JgoMlDXzsDvDOGcpx8djqqWXtxU+ROqfznzCkF1I/wXY8raPc6VT66N7WBoKPbZHwvt7yWdiEvH9J9bpqmPEopxrnwHLAIYOPU5nlOj1OKkVdRBx01Dka6PdtY2p2EQhx8mN7s4z5Wupgb2Hy9WlotxAcnIgAAk7zNsfNWMspqRPCz1sO2BX1Unk0rJzyzDFO33UdoBjXtcmB5PywfbIePT0UiMrsc+hpc/LEoAOq87hnHvBqTj/UnqXHGN0Y4YkUP+vnqyfS8q0IGBhUTmVWOe0lF4LAIfDTerVHbWk8RSnQ1uPh4ojuuvzsc0/wsQJLAsaAsjP7pFo4+zehwttAYD1Mcf30gTHX4SMivwvTtDxAuqz2Wj++pVJSSLZQs9NQhkr3fPW18D6DcZUtkrTk7biW3uLt7XraQGeRo1Obu2vEgKuC8r50+nEyaV+MG2hlAm89BUZUQES044txklbq9Ley8vdSJJPjw3wh8dDISQokUY9xNcWbtEHhbNc8yAOrdVDfiCsDjsPDFVE/sX9YXJto9Z6ezIf3tqYbAxykdy4Yy1OLDXpY/EPOcfu8ZGBh6P0efZKJaKIGziRZdW6+jxsXLfakL2z9lznRlsXaUE+yNNJFfIcAPl+KV+tiKsDXUxKEV/fDzXF/oa3ARl1eJGTseYMu1hDbXTq8OcYCziRaKq4X4roXXSq+RdNVpEWL1SCcMcjRErUiCNYdDWs3mkruB8p4zpxQA+Nvow1CTh/JaEZ6ktn0OTSqoQkxuBTgsolHeklyUKpWJUgcepEMsK5/xslS81uhqxBIpNp6NBkDljyrKc5I77ib5WIDP6bzoUl4jwgf/Rij83BdTPZuV95AkiU9PR6GwUgATbT6ic8qRXVYLByNN7F3aFxq8rikvOh2ajTl/PEReRR2cTLRwZs1gDHU2xr77aTgZQrXubV/gD2uD7gk2f5Ja0mic8YNxrt3yOnojPeMKnIGhCzkga22Z5GMOawMNeswIQI9rubI20MCvL/fBv68PhJuZNkprRPjwRCTm/PGww64ZL0tdnF4zGO7mOiiqEmDeroe4Ep1Hn9QEYtWJUsXVAgDU6J5YSj1PTxvfk7N0kB3UuCxEZpc3CmxtiHx3bWIbdlyplKTb/F7ua6PwGB6HhWEyJ43cUdUUF1NKlEou7FxFdU8mt7wWc3Y+xNGgTLAI4P1xrti1KKBR1psckiRx6FE67aayNdTAqdWDsGSQXY+qcW5KHxt9EAR1wdBRt6ODTJRSZK9nYGBg6G5IksTfT6gihxVD7Bv9LV42xB5sFoH7ScWIzul4DEFLqHHZdPTCX4/TEZzeesuwMiAIAjP9rXD93RGY5GMOiZTElmuJmPX7AyQVtDxaz+Ow8NV06rX+/SRD4WvNLafc5OZ69RsrbBaBLfP8YKjJQ1xeJb65ENviczyvmVIA9T7IYw5utrBGaoh8dG+osxH0G7ScyeM5KutEqBGKG/3M9hQOP85AXF4l9DS4ePel5mJGnUiCi7Im32dt3dtwNkqhiDk30Ap9bJpnH50Nz6E3ZKsEYqQV18BYm48Dy/t1SZucREpi88VYvH00DEKxFGPcTXBq9SDYGWniQXIRvpb9fnw80R2DnIxU/noUEZdXgRUHnkIge31dOc74PNAzrwoZGFSEUCzFZdkf9IX9qVDDhvbOGmHHq3+7gkA7A5x7cwg+megODR4bwemlmLz1Hn69ltghh5O5rjqOvz4QI12NUSeS4vW/gnEpijrJVKrQAl9cRV2IG2jy6Owqbg9q32uIoRafFpB+v928yjmjuAZR2RVgswi6crYlnqSVILOkFtp8TqsC1lBn6gR6P6lI4ecdjClhIr24uscJp89CZFY5pm27T9utDyzvhzUjnRSO69UIxXjnaBg+Ox0FoUSKcZ6mOPfmEIU7iT0NdR4bFrpUY2BbYxhNkTulUp5DQZKBgaH3E51TgZSiavA5LExuMs4uD0IGgD13U5X6vIMcjTA7wAokCXx8MrKR612VGGjysH2BP7bO7wNddS4issoxaes97LmX2qKLvb+DIWYHUKUXn5yKbFYsI3dKmek0bpY10VHDT3N9AQAHH6bjUpTiWIHn2SkFgI7ZaGsMlCRJWpRq2qatrUY5eSrrxDgRnIXyWhFsDTUw2r31dVxXUVwlwE+yooB3x7o2EtTkXIvNR5VADEs9dQQ+Q2j2+YhcnA5rXuijrcbBB7KGy4bkldfhswah+zVCCbT5HBxY1q9LHEnltSKsOPAUf9ymHJdrRjpi16JAaKtxkVlSgzWHQyCRkpjZxxLLZVl2XU1mSQ0W73mCyjoxAm318dt8/y4bZ3xeYN4thheKhynFqBSIYazNp/+g8zgs2rVT08n6+q6Ay2Zh5TAHXFs3HGM9TCGWkvjlWgJm7niAhPz2B2Br8TnYvTgQ8wKtISVBn5gq61QnyMndIZQoRS3GmlqDexKvDrUHiwDuJxUjPq/xe3tBJuINcDCAoSy0vSVOysLQJ/mYtzrbPli2qxOeWaawAtpCVx18DgsiCdkoD6wn05Z0dikqF3P+eICCSgFcTLVwdu2QFmt7s0prMHPHA5wOywGbReCTie7Y+UoAdNR6Rph5e3A0ocLqk9tRDd4Qcz3qIqWwSqD018TAwMDwrJyLoNYQo91NmrWEAcBKWYHI2fAcZMvyJZXFJxPdYaDJQ3x+JXYreUSwLab6WuDy28MwzMUYArEUm/6LwYoDT1Hcwt/q9RPcoCcb/dv/IK3R5+ROKQu95iPoI1xNsGqYAwDgo5MRyFcgPNGi1HPolAKAIc5GYLMIJBVUtboGaiiQNs2X1JGJUuW1Iuy9nwYAWDbIrsesRX+8koCKOjE8zHWwoJ9iZ728dW96HwuFm3ftoaCyDp+epvKODJsIX+++5EKXEckhSRIfnIhARYNrBC6bwB+LAuBh0XrztDJIKazCjB33cSu+EGpcFn6b3wfvj3MDi0WgVijBqkPBKK0RwdtSF9/M7B5nUnGVAEv2PkFBpQCuptrYs6Rvt+VZ9WYYUYrhheKxrMVqhItxoz/o8h0UeQBiT8ZCTx1/LArAry/7QVedi8jsckzeeg+/30putvvWEhw2C9/O8saq4Q70x3LL61RSrwwApbJwT30NHnqDk9VKXwPjZAuaffcb7+7KR/cmeLU+ulcnkuBCZPts1tYGGrA2UIdYSuKJgjBsFovodY4Z+c9i0+wwkiTx+61kvP5XCOpEVED5iTcGtbjb9jStBNO23UdcXiWMtPj4e+UArBzm0Oss0Rayi4bCyo6JSzr07m7P/9vEwMDw4nE3gXL4jmuhZMLHSg8DHQwhlpLYdTtZqc+tr8nD55M9AAC/Xk9sccxZIJYgKK0E5Upe45npquHAsr7YNN0LfA4LN+MLMXHrXTxMbn4eN9TiY/0EyoXy89UE5DQQ6ORikqKWWYByznhZ6qCsRoT3joc3c2TJx/eqBGKFG1u9HV11LvpY6wEA7iQodpQD9QLpKLfmAqm2bBMru6wWqUXV0FbjYI6CMO/uIDKrHP88pcYJv5jWPM8JoDZ3b8VTTrHOju6RJIn1JyJRWiOCu7kONBu8R25m2nhlgG2z+xx+nIE7TRxqP83165IRuVvxBZi2/T5SCqthoauGf18fRDvgSJLERycjEJNbAUNNHv5YFNCs3borqBaIsXz/U6QUVcNSTx0HlvfrMe3PvQ1GlGJ4oQjJoGb5A5rYXuutz8rdxVMVBEFgmp8lrr4zDKPdTCCUSPHdpTjM2/Wo3TuRBEFg/QR3ehcTAD46EamS8TB6fE+LBwLUyVZVApiykLexnArNpp1emSU1iMgqB4sAxnu13vJ2JYayWVvpq6OvnUGbzzfYUT7CpzjHihalekm2UJ2IEqXUGywSJFIqKPO7S3EAgCUDbbFnSSC9WGzKsaeZWLD7EYqrhfC00MHZtYPRz77t97InIrfil7TQvtQS8hyMilpGlGJgYOhZlFYL6RKGQY4tX6S+OcoJAPD300wUVCrXzTPNzwJDnY0gFEvxyalIhWuLtUdCMXvnQwzYfB0HHqQpdf1BEAQWDbDFmbWD4WhMha8v/PMRfrma0Gw9NSfAGoG2+qgRSvDFuWj648WyNYahpmL3NY/DwpZ5faDGZeFuYhH2Ntks0+RzoC0TGJ5Xt9RwWfbmrXjFuVIkSeJ8BLVpONmneSuyfPNZzst9rRuJMt2FVEpiw9kokCT1s9zSevF8RA7EUhLelroKS3Paw7GgTFyPKwCPzcIUX3NklNS7zjZO9Ww2bpZWVI2vzzfOMvt0knubrdPPCkmS2HUnGcv3P6XH4c6sHdIokP6POyk4E5YDDovAjoX+sNBTb+URVUOdSIJXDwQhPKs+gqIlYZmhbRhRiuGFIjGfGp1p2rRhLvsjktvLTuYmOmr4c0kgfpzjC20+B8HppZiw5U6LuQOKeHdsfZji0aBMvPl3iNKb+OQONH0NLuQbQD1ck0KgrT68LHUgEEvpQEz5+9rf3rCZxbkp8tG9mX0s22Wzlo/wtZUrldLBTKLuok5MjcKqcanTTJ2sQejw4wwQBLBxige+mOalcOZeIiXx1X8x+OBEBEQSEhO9zXD89YHdsuhQFgYalChV2sGgc54se02ownZMBgYGhs7wJI1qQ3Mx1YKxdsvnxIGOhvC30YNQLMWfSs6WIggCX0/3hhqXhQfJxTgRkt3sGLlzqVYkwYaz0Xj3eLjS1zluZjo49+YQzAmwgpSknFsL/3zUyB3LYhH4aoYXOCwCl6PzcT02H0D9Gqm1wGgnEy18OolyhX1/Kb5ZG+/zPsInz5V6kFysMD8sIqscWaW1UOey6WD0hjTd/Fo80E4lr7OjnArNRkhGGTR4bKyf4N7icSfp0b3OuaQyS2rw5bkYAMB741xwO77e/TTV1wIDHAwbHS+Rklh3LAy1DVofVwyxx6tDHaBK6kQSrDsWjm8uxEFKUuLhkZUDGv19uR6bT29ufj7FA/2bvPauQCSRYvXhEDxMKYYWn4P9y/rBSRbTwNA5GFGK4YWhWiCmd6NsDBuPCpnLQohzlJx30BUQBIHZAVa48NZQ+FrroaJOjNf/CsbnZ6JarRCWo8ZlN3KzXIjMw5rDIUoNDa2WBchr8TlgycauenpeN0EQWDaIcksdepgOkUSKq7IFZFsB5wWVdbibSIlLM/yt2vV8gxypk2pcXiWKFGRSOBhRJ7ve0sJWK5SLUmxU1ImwdN8TXIrOA4/Nwo4F/lg6WHHjTY1QjJUHg/DnPerC5e0xztg237/L6oZVBZ/bOXFJIisG4LCY0zUDA0PPIiaHEkZ8rfRaPY4gCLw5yhkA8Nej9A63kLaFjaEG3h7jAgD46nxMs1wn+Xh4gK0+2CwCJ0OysXz/U6WX22jwOPhhji9+mecLTR4bj1JKMPm3u7RLH6DEqxUyh/rnZ6JRK5Q0iDhofexnYX8bjHGn3PFv/RPaaI1nRm+u9r51bHvwtNCBoSYPVQJxo/dTzn8Nss0U5floNviYr7VelwR0t0VlnQibL1LiypujnFt02aQVVSM0owwsApji23p0hCIkUhLvHgtHtVCCfnYG6G9viMepJfTnP57YXAz7404yQjLK6NuTfMzxiYLjlEleeR3m/fEQp0KzwWYR+HKaJzbP9KY35wAgIb8S//s7FCRJ/T4sUjByqGokUhLvHA3DjbgC8Dks7FkSCF/ZeClD5+ndq3wGhg6QVUqdqHXVuc0Cku1ko1HJBb3jgl8R1gYaOL5qIH66Eo8/7qTg4MN0PEktwbYF/m2q98bafGSU1ODNUU74404KrsTkY/XhEGxf2Ad8zrPPaMsD5DX5HIB2SvVwVQrAZF9zbL4Yh7yKOvzToMq5rbaWs2E5kEhJ9LHRo8fu2sJQiw83M23E5VXiSWpJs7Y+e+PekylFkiQEMlGzsk6MlQeDEZtbAS0+B7sWB7Q45lFUJcDy/U8RkVUOPoeFn+f6YZJPxxdgPRG5V66jP/ZiqVyU6l0ZWgwMDM8/cXmUKOVm3nbg8QhXY3ha6CA6pwL77qc2cmkrgxVD7HEmLAexuRX46nwsfpnnR39uuIsxYnMrYKTFw5+LA7H6cAjuJhbh1QNB2Lu0r9KzaGb0sYK3pR5WHQpCcmE15v3xEJ9P8cQr/W1AEATeGu2M/8JzkV1Wiy3XElAuG8/W02jZKQVQ4t53s3wwbstdJORX4duLcdg41RMA6IbXnLLn0ynFYhEY5mKMU6HZuBVf2MjZ03h0T/GaoWFQ92z/zrmNlM3W64koqhLA3kgTy4fYtXjc6TDKJTXE2Rgm2h0fD9t7LxVP0kqgwWPjxzm+2NhgdPSjCW7NxLCYnAp8fymevt3f3gA/zfHtdLh6ewjNKMWqQ8EoqBRAT4OLHQv8m+VWlVYL8eqBIFQLJRjgYICNUz3bzBetqBMhq6QWxdUClFQLUVotREmNCOU1QtSJpBBKpBCIJRCI6nNQuWwWuGwW1Lhs6GtwoafBhZ4GD8bafFjrq2PbjST8F5FLB753h1PreYQRpRheGCrq6kfImuJqSs1nd6TFrifC47CwfqI7Bjoa4t1j4YjLq8S0bffw01y/VjOQ5KKUh7kO/lwciJUHg3AtNh9v/BWC31/xf2ZhqloWvKnBY9NOqZ4vSQF8DhuvDLDBlmuJ+OwMdRJ3NdVuc4dNvoCY2UGbdaCdPuLyKhGcXtpMlHKUOaXyKupQLRD3iCyElhA0cNkt2vMERVUCGGnxsX9Z32ajs3JSi6qxZO8TZJTUQF+Diz1L+8LfpvOVxz2OTgazy3fCG+4UMjAwMPQE5JEIbmZtZ9xQbiknvP5XCPbfT8OrQx2gq668QGAum4XNM70xY8d9nArNxkx/S7rRdZqfBXbeTsaNuAJsmu6Fwyv7Y9Gfj/EguRivHQrGLhWEJDuZaOHM2iF4/3g4Lkbl4bPTUQjLKMPXM7ygweNg41RPrDwYhD/u1LcG6rUjINlQi48f5/hg6b6n2P8gDSNcjTHC1QSW+pQolV3WOxp6O8NwmSh1J6EQH8lC4wEgJKMMOeV10OSx6TG/phwPyqT/7WGheB3SlSQVVGGfrAXw8ykeLa6zSZKkW/dm9Ol4llNCfiV+uEwJTJ9N9gCHTeBGXH0u1/ImrnWBWIIVB57St11MtbBrcaBKQ8TPhGXj/X8jIBRL4Wqqjd2LA5tNtIgkUrxxOBgZJTWwNlDHjoUB4NLN6WIkFVQhPq8SCfmVyCipQVZpLTJLahqJkcpGJCFxN7EIRVVCeFnqwMVEW6XC3fNOz72qYWBQMnK3jrqCMSAXM+qCP624GnUiSbc0OCiTEa4muPjWULz5dygep5bg9b+C8eYoJ7w9xkVhq4exLB+psEqACd7m2LOkL149+BQ34gqw6lAwdr7ybAs22inF49COEWkvcEoBwPx+NvjtRhIdWDraXfGCR05qUTWisivAZhGYpCBsszUCbQ3w16MMBKU3t6branChq85Fea0I2WW1cDHtXNBlVyAf3QMo95O1gTr+WtEftoaKXWOhGaVYcSAIJdVCWBuo48CyfnAwfr5m8+XjsIoytFpDPspp2EaGGQMDA0NXQpIkcmSjYtb67RuFGuthBmcTLSQWVGH//TS8NcZZqa/Jz1oPSwbaYf+DNHxyKgqX3x4GdR4b7uY66GOjh9CMMvz1MB3rxrpi//J+WLznCe4kFGLN4RD8/kqA0sV/LT4HOxb64487Kfj+UhxOhGQhPr8CuxYF4iUPU7zkYYqrMfn0sdx2nh9GuJpg6SDq63zveAQuvz0UlnpyUer5HN8DgEFOlCMlNq8CZTVC2lkmd0mN8TBVuFaVSEkcfJhO3+7uhkKSJPHFuWiIpSRGu5lgZAtCGgCEZZYhrbgG6lw2xnq0XrDTFKFYineOhkEokWKkqzFe7muNZfvrBaeDy/s1+5n/7mI8na/LZRPYv6yfUsXjhkilJH66Go/tN6lWzpc8TPHLPL9mzYkA8MW5aDxKoUYOlw6yx+FH6YjILqdFqNYuKfQ1uDDVUYO+Bg8Gmjzoa3Khr8GDGpcNPocFPodFvw8iCQmRRAqxhES1UIyyGhHKaoQorRHhdpMWQgDYc68+I09XnYu+dgYY4GCAIc5GcDXV7nVN0d0JI0oxvDDIHQfy4OWGGGvxoa/BRWmNCAn5lfBpIx+hN2Cio4a/Xu2Pby7EYt/9NPx2IwmR2eX4dV6fZnWlRtrUiV0eyDnE2Qh7l/TF8gNPcSu+ECsPBmF3J3dKSJKkM6U0+GxaFFNFy58qMNVRw0hXY1yLpXaW2hKlLkRSi6NBjoathpYqQt4KGZ1drlActdJXR3mtCFmlNT1alIrILqf/7WCkicMr+9O5bU25HpuPNUdCUCeSwttSF3uX9m01MLe3Im/P01Xv2Gm3vpWpYz9LDAwMDKqkvFZEt6ya6LTvbzaLReB/o53x5t+h+PNuCpYMsm1zZK2jvDfOFZej85BRUoNfryfSjpoVQ+yx9kgo/nqcgdUjndDXzgB7lgRi2f6nuB5XgHePh+PXeX5KdzoQBIHXhzvC21IXb/4diqjsCkzbfh+7Fwdi41RPWpTqqFDy0QQ3PEguQkJ+FT48EYEVQ6gA6ud1fA8ATLTV4GSihaSCKjxKKcF4LzNIpSS97lLUugdQjX0Nm+Yq67q3zfZqTD7uJhaBx2bhs8kerR57SuaSGutp2mGH/LYbiYjOqYCeBhffzfJBlUCMW7KAcy6bGodsyJPUkkbNjufeHKKygplqgRjrjoXhcjT18//GCEe8P9a10e8fSZJIK67B6sMhjYL9N/0X0+zxjLR4cDHVhoupNuyNNGGlrw5rAw1Y6qkrZbJg151kWpR6Z4wLRrgaIz6/ErG5FYjNrUBkVjnKa0W4FpuPa7L8WVtDDYz1MMV4L3P42+gxAlUbMKIUwwsDl039MRBLmoshBEHAx0oPtxMKEZpR9lyIUgBlZ98wxRM+Vrr46EQkbsUXYur2e9i1KBCuDez2xlrUPHlBRX046CAnI+xf1g/L9z/F3cQirD4cgp2d2EmsE0npHQwNHgd8mdCizCB1VeNsqk2LUm5mrWdnnAunwjandNAlBVCik4k2HwWVAoRnljWbU7fSV0d0TgWdj9YTScyvxJK9T+jb/7w2ACY6ijMQzoRl491j4RBLSYxwNcb2Bf49eizxWZCPDzfNs2uLIplQbKTFiFIMDAw9h3zZekFfg9uhDatJ3ubYfjMJcXmV2HUnBR+Md2v7Th1Ai8/Bl9O8qM20uymY5mcBd3MdjPc0g6WeOrLLanH0aSaWDLLDICcj7FociBX7n+JceA7MddUUhj4rg8FORjizZjBePRCE+PxKzPvjIX6c44tRbib0OFVptRD67dyAUOOy8evLfTBt231ciy2Akwm1pssuq4VUSj63Y0SDHA2RVFCFh8lFGO9lhuCMUuRV1EGbz8EwF8V5lfsfpDW6XanCka62qBNJsOk8Jaq8OtSezrRVhEAswVnZmnJmO0tz5IRmlGL7LcqB9PV0b5joqGHatnv052+8O6LR8dUCMeb+8ZC+fWRl/zbXu50lp6wWrx4IQkxuBXhsFr6d5U1/fbnltXiQVIz7yUV4mFyssBXdxkADftZ68LPWg7u5DlxMtVTqJj/yOAPfXKAC6d8f54o1I50AoFG4uVgiRVROBR6nFONhSjEeJBcjvbgGu++mYvfdVDgYaWJuX2vM9LfsVC7YiwATUsHwwqAmm9duqZFO7lIJVjA61duZ0ccKJ94YBEs9daQX12DGjvv07hwAmOlSf8zzKhr/8R/gYIh9S/tCjcvCjbgCvHM0DOIOtoc1bBvjc1jgy+zpgl4kSskDEAHgYlRei8clFVQhLq8SHBaBsW009CmCIAgE2lE/h4pG+KxkIxI9VZSKza3Ay7se0beNtfktClJHHmfg7aNhEEtJzOhjid2LA59bQQoAymWV3zodtMGny3Z3rdo5HsPAwMDQFcidPdodFNpZLIIOOd93P412aCuTlzxMMcHLDBIpiY9ORkIiJcFhs/D6cMpNtONWEr0WHO5ijO9n+wAAdt1JaTSOo2ysDTRwYvUgjHIzgUAsxZt/hyK/wbrrW1kTW3txN9fBB+Op9/LPu1Q2lVAsRVG18t/TnsJA2Wbdw5RiAPWjey95mirMZUrMr8TdxCKwCKCfnQGA7nVK7bmXisySWpjq8GlxoyVuxhWirEYEUx0+hjgpFtwUUSuU4N1j4ZBISUzzs8AkH3OU14gQnkW52C311Jtlo3puuEz/++sZXi0W0jwrIRmlmLrtPmJkxQOHVvSDma4aNv0Xg1E/3sLAzTfw7vFwnAzJbiZI7VkSiOBPx+DOByOxdX4fLB9ij4GOhioVpE6HZuOT05EAKDdXS98zDpsFP2s9rBruiP3L+iH0s5fw+0J/TPezgAaPjZSianx7MQ6DNt/AO0fD6JIIhnoYUYrhhUFNVgdbI1QsSgU+x6IUAHhZ6uLcm0Mw2MkQNUIJXjsUhD/vpoAkyQZiR/OAzP4OhvhjUSB4bBbOR+biwxORkHZg9K7hmB6bIMDnykUpxd+HnsidxPo58iOP01s8Tr44Gups1OmRhABbatEUolCUomzUir5P3U1ifiVe+fMxPW4GUKN7ivjjdjI+PhUJkgReGWCDn+b4tjtLo7ciz/kwb6HyuSXkbYvtbXFkYGBg6Ark2YEavI6P9Y9xN4GvtR5qRRL8LnNzKJuNUz2hzecgPLMMhx6mAQDm9rWGha4a8isE+OdJBn3sTH8rfChzbG36L4Z2PKsCLT4HuxcHYuVQKmA6Oqf+4vRoUCaeppV06PGWD7bHUGcjuqkVALJ76MaVMpC37iXkVyG/og7nI1tv3Tsg+96PcTeFmznlJusup1ReeR2230wCAKyf4N7mRtyJkCwAwPQ+lgrzYFviu0txSCmqhqkOH19O9QIAjPnlNv35i28PbXT8umNh9L9HuhpjYX/bdj9XRzgdmo2Xdz2iszJtDTXx6sEgLNj9GHvupSKlqBosgnIgLRpQ/xp8rfUQt2k8Rrubdmm+5rnwHKw7FgaSBBYNsMUH49rfGKrJ52CCtzm2vNwHTz4Zg+9mecPfRg9iKYlTodkYv+Uulu9/iqgGcRcvOs/3VQADQwPkmSxFVQKQChLxfK31wCKoi8ec5zQo0kCTh/3L+mF+PxuQJPDV+Vh8diaKroPNKq1V+N4MdzHGbwv6gM0icCIkCxvORis8ThFiKeUyIghqh5QvG/9r6D7qyeSW1yKpoIq+HZJR1uIOx/lIaiHb0YDzhtDiaEZps/e4pzqlUouqsUAmSHlb6tI7t02bhEiSxI+X47FZthv8xghHbJrm9dyOGTRE/j2TC4vtoaJORC/eHIwZUYqBgaHnUCPLiuxM1iRBEHhvrAsA4K/H6cgtV/45zVRHDR/K8qR+uByPnLJa8DlsrJY5HXbcSm7knH99uAOWDrIDALx7LBwPk4uV/prksFkEPpnkge9meTf73CenIiHqgCOdxSLw4xzfRmHUz3OulL4mDx7m1FjZ1uuJKKwUQEeNgyFOxs2OLa8V4WQIlcm0dLAdtNUoEai7RKlvL8aiRihBgK0+pvm1vk4srhLgpmysc1YHRvfuJRbR44rfz/aFrgYXyYVVtCOxr51+oxiBC5G59HsEAHuX9m33c7UXqZTE+pORePtoWKPojuD0UlTWiWGgycMsfyv8vtAfYRvG4uQbg+jNVzMdNexWQTtmW1yIzMXbR8MgJYF5gdb4YqpnpzOhtPgczOtrg5OrB+Pc2iGY5GMOFgHciCvA5N/u4e1/QnvkZnNXw4hSDC8MprIxIoFYivLa5tZdTT6Hng++m9i8YeF5gctm4ZsZXvhkojsIAvjrUQY+Ox0FgHpvCqsU277HeZrh57m+IAjg0KN0fHsxrl3ClEyTAkcmPMjt1b1lfO9uYhEAoI+NHsZ7Us0n/zzJbHZcQn4lEvKrwGOz8JJHx0f35LiZa4PLJlBWI2omPtU7pXqOKJVZUoOFux+hsFIANzNtHFzej84Qa7hIptpmYrBNtkv4wXhXfDje7YUIfhRLpPRobEfG8ORiqLE2v8MjMgwMDAyqRH727+yewhAnI/S3N4BQLMVvN5KU9roasqCfDQJs9VEtlODzM9Rm2txAa1jqqaOgUoC/HtU7nwmCwGeTPTDBywxCiRSvHQpS+YjNvL42mOLbWJxIyK/q8AihqY4avpzmSd++FN1yzMDzwEBHyi11+DHldhvnaaYw7/R4UCZqhBK4mmpjoIMhfR6t6IbxveD0EpwOywFBABuntC1wnA3PgVhKwttSt93FNuW1Irz/bzgAyoU+3MUYJEli9E/1LqmGolNsbgVWHw6hb8d8OU6pa7KyGiH23kuFw8cX8HcDZyIAuJpqY/UIR5x4YxCefjIGP831xQRvc+iocfH9pTjcjC8En8PCrsUBLcZAqIrL0Xn439+hkEhJzPK3wuaZ3krbPPW20sX2Bf648e4IzOhjCQA4HZaDUT/dxvabSR0SpJ83GFGK4YVBjcuGvsy5oSg4D6AcQQAU1n4+TxAEgZXDHLDzlQCoc9l40GBHsDXBY5qfJTbPoHb2/riTQtuQW0PulGIRclGqd43vyUWpoU5GeLmfNQAqoLtpUPt/stG9YS5Gz1Sfy+ew6RD6yCa2XkuZKFVSLUR1N1caA5SLbMGfj5BTXgdHY0389Wp/6GvyUCob4ZO/DyRJYuPZaOx/kAaCADZN98LqEa1nKTxPZJbWQiIlweewYNwB63l4ZhkAwMtCNWGjDAwMDJ2FLo/pZJMuQRB4TzYOc+xpJtKLq5X21C/jNgABAABJREFU2uSwWAQ2z/QGl03gWmw+Lkfngcdh4a3RzgCA324k0Xl/AOVg+mWeH/rZGaCyToxl+542ynxSBT6Wus0+9u3FOGSWdMw5MbWBuHUuPKfF/NTngUGOjUtgJikY3ZNISRx8SImOSwfbgSCIbnNKSaUkNp6lws3nBljD26r597wpcvfSLH/Ldj/PF+eikVteB1tDDTqwX17SAwATvMxoYS6nrBYTfr1Lf+7EGwOhwXv2XE+BWIILkblYsf8p/L68ii+bNOV9ON4Nd94ficvvDMMH490QYKvfaDTx3+As/HGHykf7cY5vlxdPXYvJx9ojIRBLSUz3s8D3s31U4ua3M9LEL/P88N+bQzDQwRBCsRQ/XI7HlN/uISKrTOnP1xtgRCmGFwobWbBfWpHixY+8HvVeYlGHA717I+M8zXBs1UCYaNdfKN+KK2jlHsDL/WzoCtsfryQ0ymVQhDxTinZKyTKlekP7nlRK4n6STJRyMcZQZ2OYaPNRWiOi23LkXJYFoE/0Vpxr0BG8ZYvUpqKUjhoXOrJFVXY3j5gWVNZh4e7HyCypha2hBo6sHAAjmeAiHzkz0uKDJElsOBuNAw/TQRDAd7N8GmUFvAjEyaqMXc20O7S4CZOJUn7W+qp4WQwMDAydhsOizuUiBY3G7aWvnQGGuxhDLCXxw+V4Zb20RriYauP14Y4AgM/PRKOiToRZAVZwMdVCea0IO2433lxT47Kxe3EgnEy0kFteh5UHg+j8LFUgL4MZ7WZCn/sBYOj3Nzv0OA1HIgHgRxW9nz2BfvYGjW4PVhACfjOuABklNdBV52K6HyXsyAWZrg46Px6cicjscmjzOXh/fNu5RAn5lYjMLgeXTWCqX/tEqUtR1BgeiwB+nusLDR4HdSIJVh4Moo/5YirlpiuvETVyT702zIHOM+0MJEkiNKMUn56ORL+vr2P14RBcb7JG/nmuL9K+nYQ3RjjCxlCxY/xRSjHWn4wAALw5yqmZi1DV3IwvwOrDIRBJSEz2McePc3w7lOXVGbwsdXFkZX9smecHfQ0u4vIqMXPHA+y+k9Kh/N7nAUaUYnihkFtg4/IqFX7e10oPuupcVNSJ6QvC5x1vK12cWjOYvr31RlKbYe8rhthjrSyX4eNTkbjSilVcvovKajK+V9sLdvFicitQUi2EFp8DP2s9sFkEbbeVB1ACQHpxNeLzK8FmERjt1vnRPTlesoWpogBEc13KLaXq3dvWqKgTYcnep0gpqoalnjoOv9qfHo+lXhslSpno8PH5mWgclAlS38/ywdxA6+562d1GrEyUcjNrnwVfjtwp5Wejp+RXxMDAwPBs8Oh8yGc7l1Nj3JTbWFXrrjUjnWBvpImCSgG+vxQHNovA+gmUk2Tf/bRmmzy6GlzsXdIXBpo8RGSV452jYSq7QJTHIBhr8/HPawMa5Q4u3fekQ4/l2UDU2nM/FY9SVJeL1Z00HGfX5nMUFqXIc5Ve7msNdVkYf3c4pSrqRLTg+tYYZ3rzrjVOBFPry5GuJjDQbLs0p7BSgI9PUTEcrw93pAWmP26n0MdM87OAiY4a6kQSrDjwlF6DW+qp0yH/HaWoSoDfbyVj9M+3MWPHA/z1KKNZPIqbmTbufTgSM9vIxUotqsbrfwVDJCExydsc74xxafV4ZXMnoRCrDgVDKJFigpcZtszzA6eLCngIgsD0Ppa4tm44JnqbQSwl8fWFWKw48LSRk/N5hxGlGF4o5GNRCfmKRSk2i6BH+K7G5HfZ6+puLPXUsXywPX174Z+PcD229a//3bEumBdoDSkJvPl3aIuNMWzZ2J48Z0iTTy0OqgU9X5SSj+4NcDCgFz2zAqgT6824AhTLHEHyn5UBDgbQ1Xj27J+GTqmmuV0mOtSCRi78dDV1IglWHghCbG4FjLT4OPxq/2Y5SQWVlGD2240kHHpECVI/zPbFnBdQkAKAWJkI7m7e/jG84ioB0oqp8Q3fdlj9GRgYGLoSfVnDbJmCjM6O4GGhg5l9qPPqN+dj212i0hHUuGx8PYNqITv8OANBaSUY4WpMj838dKW5q8jGUAO7FgWAx2bhUnQevleR80j+5RIEAU0+BzffG0F/7lZ8Ib48F9Pu98RSr17QIkngvePhqOoBo/7KpuEkg6mCRtvE/ErcSyoCiwBeaeDM1ukGUWrrtUQUVQnhYKyJxQPt2jxeLJHiVKhsdC+g7YBzkiSx/mQESqqFcDfXwdsyMSezpAa/XEugj3trtDOkUhLvHg9HUION539eG9AhNxBJkniQXIQ1R0IwcPN1qumvsBpqXBam+lrAp8F65SUPU5x4Y1CbWZplNUKs2P8UZTUi+Frr4ae5vl1agHM/qQgrDwZBKJZirIcpts7v02WCVEMMtfjYvsAfX8/wAo/Dws34Qsz8/T4yil+MEHRGlGJ4oZA7pWJyWw6vnOBFhVmfj8xVyeKopxJoVz8iVCeS4rVDwTge1DzQWw5BEPh6hhfGuJtAIJZixf6niFfgQJOf7OTZUlp8SrTpDQule0lUtthQ5/pWFxdTbXhb6kIsJXFWVht9JZoSpcZ6mCnleV3NWg47lzuSusMpJZGSeOufUDxOLYE2n4MDy/vCzqh5K5xcMEsprKYFqdntWFw9j5AkicgsyvHWEVHqviznzc1MG3oabe+UMjAwMHQl+prUubysRkiP6XeW98a5gM9h4Ulaico2BAc5GmFuoBVIEvjwRASEEinWT6QcIqdCsxGd09yZHGhngO9n+wAAdt5OxrFW1kSdRUqLUtT/uWwWYr8cT39+7/1UrD8Z2a73uKEopafBRVZpLb5qkunzPNAwB5WjQLw48DANACWKWBvUCyJdPb6XVFBFO7Y+n+yhMIy9KfeSilBQKYC+BhcjXU3aPP54cBauxRaAyybw81xf+jm+Ol//fR/vaQYHYy18fSEW52X5pwDww2yfRu9Pa5RUC7H7TgpG/3QbC3Y/xvmIXIgkJPys9fDdLG/ceX8k6kQSRMjWO2+McMQfrwRAk996TpVQLMUbf4XQzvvdi7u2ae9hcjFWHHgKgViK0W4m2LbAX6HzrqsgCAIL+9vi1OpBMNdVQ3JhNWbsuI+QjNYnWJ4HGFGK4YXC10oPBAGkF9fQ9ahNGeFqAnUuG1mltYjKVm3zSk/CyUQLAKDOZWOmvyUkUhLv/xuBXXeSW7wPh83Cb/P9EWCrj4o6MZbsfdLMBs+RhaHKF1Rasp2qqm6q5G0vdSIJnqZRJ4Ehzo3zCmbKgidPhmSjqEqAoHTKJTbmGVr3GsLnsGkBtekInzz/q6CLRSmSJPHp6Uhcjs4Hj8PCrsWB8LRo7uCpEYobCY4/vsCCFEAVB+RV1IHLJuDbgcDOu7KyBXnOHQMDA0NPQu6UkpJQ2GjcEcx11fHqUMqt/e2lOJU1UH080R1GWnwkF1Zj+81k+FjpYaqvBUgS+OaCYpfW9D6W+N8oWVzByUg8TFbuSBwp6zFsqK2o89jY16Al7Z+nmfjf36FtZnFq8jnQk7m1173kAoKg7nsj7vly/jcUVhLyKxutOcprRTgRTDmNlg6yb3Q/+fheV2yKkiSJTf/FQCwlMdrNBCPaITAB9QHnU30t2hSxMktq8OU5Snxa95IrvfF1J6EQl6Prv+evj3DEn3dTGrU6jvc0a9faLDSjFG//E4oB31zH1xdikVJUDU0eGwv72+D8/4bg9JrBGOJsjCX7nuJKTD54bBZ+nuuLD8e7tel2IkkSn52OwsOUYmjy2PhzSSBMtLuuae9JaglWHHiKOpEUI1yNseMV/3YJh12Bp4UuTq8ZDC9LHRRXC/HKn4/xJFXxRMrzQs945xkYughdDS5cZRf7wemKf7nVeWyMcqNOHucjcxUe8zxia6gBFkFlPX043g2rhjkAAL65EIdfryW26BpT57GxZ0kgnE20kFdRhyV7nzRrswHqs6W0+V23KHgWQjPKIBRLYarDh0MTN9BUXwtwWAQis8ux81YypCTgZanTaJfyWZGP8EU12b2VO6UKWhBVVcXPVxPw95NMsAhg68t+dCVzU97/N4L+949zfNtlP3+ekY+1elnq0rkWbUGSZH3ro3PzAFcGBgaG7obLZtF5N3ktNBp3hNeHO8JQk4eUwmr881T5jiQA0NPg0WHPv99KQnxeJd4f5woeh4X7ScW40oJL652XXDDZxxxiKYnX/wpGSmGV0l4T7ZRC4wv4kW4mtHMfoNajrx4MQo2w9bWTfB1ioauOFbJYhg/+jUSJrBW3tyOSSHGpQY6plKSEEznHgzJRK5LA1VQbAxwah3fLXTsiCanysp0bcQW4nVAILpvAp7JyoLaoqBPhsuxra2vtJJWSeP9fajwzwFYfr8nW7EKxFBvPRdPHDXAwQEZJDb46H0t/zFibj29meoMgFItGIokU58JzMGPHfczY8QCnw3IglEjhaaGDb2Z44/EnY/D1DG94WugiOL0U07bdk0U68PD3awPazI+Ss+tOCo4GUevKbQv8O+Qmf1YeJhdjyd4nqBFKMNTZCDtfCaAzb3sKpjpqOLZqIIY6G6FGKMHSfU+e25w4gBGlGF5A5GNqcheMIiZ4UwuBCy/QCB+fw6bbCZMLqrB+ojvel9U1/3ItAd9eimvxvdDT4OHA8n4w11VDUkEVVv0VRJ/w5Q09JEmdRLVki4LKHi5KPU6l/vD3tzdsduI21OJjpEy4/FO286Ss0T058pNzfF7jxa8pnSnVdU6pAw/S8NsNqqHoq+neGO+luGFw+82kRjuYL7JDSo7870xfu/Y32yQVVCGvog58DqtD92NgYGDoSuSjPxklz555oq3GxVtjnAEAv15LUNmI1URvM7zkYQqRhMSHJyJgoaeO14ZSF/RfnY9BnYLgdoIg8OMcX/Sx0UN5rQgrDgShrEZJIo9sXaVIH/h8igc0Gmxm3EkoxKI9T1p1ptk0+J68N84VziZaKKoS4NPTkc/FevZeUhHKa0Uw0uJjqqydTX6elUhJHHyYDgBYOtiu2dpNo8FYWLUK16ACsQSbZGOTy4fYw15BzIEiLkTkQiCWwtlEq1EToyL2PUjDo5QSaPDY+HlufUvc3vupSCmsbxj3s9bHe8fCG933h9k+CgPUy2qE+P1WMoZ9fxNv/h2K0Iwy8NgszPK3wpk1g/Hfm0OwoL8NvY4/E5aN+bsfoaiKyrM6vWYwAmzb1xZ8OToP316KAwB8NtmDXlN3BfeTirBs/xPUiihBateiwC4dGewIGjwOdi8OxDAXY9QIJVi+/ykdCfG8wYhSDC8c8ou81izYo9xMoMFjI6OkplEg4POOfIQvWbYLuGakEz6T7fD8cTsFG89Gt9hAY6Gnjr1L+0KTx8ajlBKsP0ktgBoGKIqlZIPxvZ7dKPE4hXK4NK0eljOzT+Oa3rGeyhndkyMf32saym9CZ0p1jVPqakw+veu27iUXLOhvo/C4/fdTG1V6t/S+vWjIxc3Adi7UANC79f0dDHvsQomBgYFBLoBkKkGUAoD5/WzgYKSJoipho+YwZUIQBDZN84I2n4OwzDIcepiG1SMdYaajhsyS2kYjTg1R47Kxa1EgLPXUkVpUTTV1KcFtw5Zt3IkVrK3MddXxtkyokxOcXoqXdz1qMYLCxrBelFLjsvHzXD9wWAQuRObROZi9GfnG10RvM/SXOaGCZI7k2wkFyCipgY4aB9P9LJvdl8NmgS8bz6puw3H2LOy7n4a04hoYa/Px5ijntu8gQ97qPCvAqkUXE0AFuX8nE3Q+meQOW0NK9Mopq8XW64n0cSwCOPwoHcIG47BLBto2GyVMKqjCp6cjMXDzDXx3KQ655XUw0uLh7THOuP/RKPw01xe+1nr0ayJJEj9fTcBb/4RBKJbiJQ9T/Pv6wDYDzeVEZZfj7X/CQJLAogG2WDrIrl33Uwa3EwqxfD81sjfcxRi7Fwe228XeXVB/ewIwxIlyTC0/8BRZpc9f+DkjSjG8cAxxMgJBUGHnLVnONXgcTPKm3CCthX0/bzgaU6JUUkG9O2fFEHt8PcMLBAEceJjeauCmu7kOti/0B5tF4ERIFrbdSGoUQilp4JTqyeN7ArGEDhVsav+W03RXRz4WqixcTKnvRUZJTSO7fv34Xp3Kdz0js8rxv79DQZLA/H7WeFOWq9GUY08zsVGWa8CVZYhZt3Nx8jyTUVyDlMJqsFkEBrQw7qiIC7Kx4YleynXfMTAwMCgTGwNqVCy9pLqNI9sHl83CB7J6+t13U5QmdjXFTFcNH06gnuf7y/EorRHRoefbbya1uDY01uZj79K+0OJz8Di1BJ+cenb3EZdDnTNFLQhcywbb0+sBfxs9GGnxEZtbgTk7Hyi8MLU1oASK9GLqe+JtpUsLI5+djuqWkhRlIRBL6PG2Sd7mCLSl1mdhmWUQSaQ4JHNJzQ20blFokK9BVdUAXVBRh99kwtCH493o52uL9OJqPE0rBYsAZvRpLqjJEUmkWHcsHEIxJaos6Fe/Ufj1+VjUCOu/LinZeCrB0VgTH01wp28Hp5fi1QNBGPPzbfz1KAO1IgnczXXww2wf3P9oFN4e4wJjWY6pnDqRBG/+HUqLX6uGO7Qr0FxOXnkdVhx4ilqRBMNcjLFhikerApwyuRlXgJUHg+hQ811dHKr+LKhx2djxij/czLRRWCnA8v1Pe/R1VGdgRCmGFw5DLT4dOHwzvqDF4+T19ecjctuc4X9ecJYJK3FNWvQW9rfFT3N8wSKAo0GZWHcsrFElb0NGuJpgoyyz4aerCbgYVT/7LxRL64Mme3DQeURWOQRiKQw1ebRQ15SmJzJln1QNtfgw0qIWA4n59SKhsexjIgmp0oyI7LJaLJctHIY6G+HLaV4Kv8Zz4Tn48CSVI/XqEHvMkmUJWBsoL1+rt3Irgfr7EmirDx1Z609bpBdXIzqnAmwWgbGejCjFwMDQc5GfHxPylZexNM7TFAMdDCEQS/HNhdi279BJFvSzQV87fdQIJfj0VCSm+logwJa6/e3Flp/X1Uwb2xb0AYugms92PqOjiydr+hK2sKbislnYNM0LABCaWYbPJrvDUk8dacU1mLPzIVKLGguCtjKnVHoDQW/1SEd4W+qiok6Mj0/23jG++0lFqKwTw0Sbj752BnA20YKOGgc1QkqsuiUrCHllgG2Lj6HBp9ZuqnJKfXcpHtVCCXyt9Zo56ltDHnA+2MmI3nxUxLYbSYjMLoeuOhffz/ah12V3EgpbzcHlsAj8+nIfqHFZuBlfgLl/PMSs3x/gWmw+CIJqKvx75QBc+N8QzAm0VpivVFgpwPzdj/BfRC44LALfzfLG+gnubQaay6kWiLHiwFPkVwjgbKKFbQv6gNNFTXfXYvJpd+NYD1P83gMzpNpCR42LvUv7wkSbj4T8KqWI4j0JRpRieCGRB5nfjGtZlOprpw87Qw1UCyW4EJnX4nHPEx6yHKOY3Ipmf+hm+lvht/n+4LAInAnLwTvHwlsUphYNsMVKWZPOxycj6Y/XiMT1u1RCSYv3727kDRf97A1aFJuajjE+ayW2IuS7o/ENRvh4HBb0Ze06xSoSpSrrRFix/ykKKwVwNdXG9oWKK3JvJxTinaOUBXtBfxt8MskdmbKd2/bauJ9n5H9fOpKVIP9bM9DBUGHmAwMDA0NPQZ59GJvTfM3QWQiCwIapHmARwMWoPDxIKlLK4zaFxSKweaYPeGwWbsYX4mx4DjZO8QRBAKfDcloswwGozbcNU6jNt+8vx+FqCwHp7UE+TtbaKGB/B0PM9LcESVIOsmOvD4SjsSZyy+sw74+Hjdzt8pHKrJJael3CZbPw4xxf8NgsXI8rwKnQ7E6/3u5Efn6c4GUGFosAi0UgUBbJIR8HG+5iDLtWMpw0edQatEYFTqnQjFJ6BO+LqZ7tFmukUhInQ6n7tZbFGZ5Zhm03qXzPTdO9aPFKIJZg49noFu8HAP8b7YzkwipM3HoPy/Y9xZPUEnDZBOYFWuPauuHYvTgQAx2bZ6jKic+rxPTt9xGaUQZddS4OruiHeX0VxzkoQiIl8fbRMETnVMBQk4e9S/u2e7PuWbkUlYc3DgdDKJFigpcZti/sOS17HcVCT52eSDkTloOjKiqF6A5653eEgeEZkYtS95KKUCtUfGIiCII+ORx7QUb4nEy0wGUTqKwTI6u0ttnnJ/mY4/dXAsBlEzgXnoN3j4e3KMasn+COcZ6mjXb/aoQS6KrXn4SetUZaVcjbLfq3kosUk1vR6LY8O0iZ0LlSTZxr+jKxQhVOKZFEijVHQhGXV0mNKixTvHAIyyzDG38FQywlMdXXAl/JnFSZJdTPjbX+i+2UqhVK8ECWWzeynVXQAHA+ksr8kJctMDAwMPRUHI21wGOzUClQvGboLG5mOlgkc7t8cS5GZRtYTiZa9Fj6F+diYKmvjrkBlEt+49mYFjM0AWDJIDssGmALkgTe/icUcXkVLR7bGvINH1EbX+P6Ce7QVuMgKrsC12Pz8c9rA+Fqqo2CSgFe3vUQ8bJ1goWeOrhsAkKJFHkNRvVczbTpIPmNZ6NR0MvG+IRiKa7IRvcmeNeXrciDteWZXItacUkB9Q18yh59kkpJOsZgdoAV/Kz12n3fp2klyCyphRaf02JpTp1IgneOhUEiJTHJx5wOeQeAP++mIqWo+Qhtw9HBo08z8dY/YYjNrYAmj42VQ+1x94NR+G62T4sTAXJuxhdg1u8PkF1WCztDDZxaPQiDHDvWDPz9JUq85XFY2LU4kC5JUDUXInOx9kgIRBISk33MsXV+H4WbrL2JvnYGeG8sVUS18Vw0Parb2+nd3xUGhk7iaaEDK3111AgluB7X8g7XrAArsAjKORPfRBh4HuFxWHA2oYSQpqKLnJc8TLFtQb1j6v0WhCkWi8CWeX3ga1XfIJJXXgcOm0ULU6XKaq9RIiKJFMGycPv+Di3nADV12Z0Lb9k23VlczajvRXyTsHMDDUqUKlWyKEWSJDacjcadhEKoc9nYu6QvXS/dkOTCKizf/5Su0v1xji9YLAISKYmcMpko1UULjp7KncRCCMRSWOqp0463tojNrUBUdgW4bALjmdE9BgaGHg6Pw4Kz7O9bdI5yG6HeeckF+hpcxOdX4vDjDKU+dkNWDXeEq6k2SqqF+Oq/GLw3zhXa/2fvLKOjOtsoukfiSlyQJBAIlgQIBHdKCxSoQakjdYUW6gr1Uhfa0iItFCta3N3jCTHibsSTydj3487cJBAX7Ju9FqvNZCyTydz3nvc855jICU8vYn0jG5Lv3d2LIV72lFWpmbfqQos2ivSODUUjoemOViYs0jUi60tF/nlqML1crckrrWLW72eI0o1+653KV5+sPj3Sq3qM7xYb/TmdkE9xpQoHS+NarbQ1xR93W7NGncn6NsO2juXYHJxOaGohliZyFt3Zo1m31burJvd1rTcL67Pd0STkluFkZcLH0/uIl6cXVvDDobhrrj+gS4dawlt6YQV2Fsa8OqE7J98Yy9uTe+FiU/+YoJ6VJxOZq8svCvS0Y8tzw/BqRMS6mnXnUvj1mDDm+uX9vk1u6Gst20MzePGfYFQaLdP93fh2pv8tL0jpeXqkF8O62VOp1IjFUrc6t8dvxoCBZiKRSMRdhm0h9beRuNqYibsWq08nXY+ndsPp5aYb4cuof9dvYm8XfpjVD5lUwubgdF7/N6zOHUUzYxm/Px4gfj131XlUao04fnal/OZzSkVmFIuOrobCy/V5ZJN9hR273RGZje50Npf6Gvj0Y11tPb634mQSa8+mIJHAdw/607eGoKgnu7iSx/44R0FZFb4dbfjlkQHiojqruBKVRouRTNJgJsL/A//pGoLu6uPS5LyxjReEhek4H2fsLU0aubYBAwYM3Hj01fXBKYVter+25sa8qnMDLN0X024ZisZyKZ/d1xeJRBAWojKLeWVCdwA+3xPd4OMayaT8/HB/utibk3algmf/bn4jn/4kuSm3eyiwC33dbSipVPHprkvYWRiz9slAfDvaUFAmCFPhaUXiCF9Kfu0gdLlMypcP+GIkk3DgUg5bQ26dMb49EcIxdWJvl1qtzjXXKZP61v5eXVQHnbedKFWqUIlteC+O7YaTVdPXP+VVKnEs8b56RvdOxuex8lQSAF/c74utefVo/+IdUVQqr33vXKzRHO5ua8aHU3tz8vWxvDjOu9bt60Ol1vDetgg+2BGFRgsPDOjIX3MDRad+Uzkam8vbWyMAeHmcN9PqaEVsD7YEp/HKumDUGi339e/I0hn+1y2/6noglUr49B5fTI2knLqcf1tM9Nw+vx0DBpqJ/oPxaExug2Nkj+uqSjcHpd+042ZtSc1cqYa4q68r3z8oCFObLqbxxua6hSknK1P0a4RKpYbPdke36/hZawnSHcgHdOlQbx5AQVkVwamFALx5lw8OlsYUlis52cbZF3qHTXaxguLK6veeXpRqS6fUibg8PtaFyr51V886Q7aLKpQ8/uc50gsr8HSwEFuI9OibktxtzRpdGN7OVFSpOXhJcGBOqWGxb4gqlUY8QZgxsP5MCQMGDBi4mdC7Vs4l1Z/B1FJmDepMT1driitVLN0X0+b3r6df5w5iLf1bm8N5IKAjPi5WFJYr+Xx3dIO37WBhzPLHAsRGvg92RDbLtWChC96uUDaecSSTSlgyvY8ooJ1JyMfW3Ji/5wXSr7MtRRVKHlp+hkKdCz25jvZCHxdrXh6nH+OLuiXG+FRqDXsjhWPqpBqjewAJudVusO5NaEE2N67ONW0rfjgUR26JAk8HC2YP82zWbXeGZVKqUOFhb85Aj2sdREUVSl7bGArAw4GdGV0jDuBITA57IhvOvP303r4cfm00jw/1qNeFdTXFlUrmrrrA6tPJSCTwxl0+fHG/b7NzmKIyinnu74uoNVru7efOK7rx0fZm/fkUFmwIRaOFmQGd+PJ+39tyTdrZ3pxXJ1S7J2/1Nj6DKGXg/5YeLlb0cLaiSq0Rd2DqYrCXHT2crahQqtl4GyjRjdEUp5Seyb6ufDvTH6kENlxI460t4XUKU/raXoDlJxLFHdW2Hj9rC4JSBFGqXwN5AMfjctFqwcfFio4dzMVFkt4d01ZYmRqJDXxJNfICOrSxUyopr4zn1wYJC4f+7swbce2iqlKp5snVF8SsqdVzBonPTY9+VOD/fXTvcEwO5VVqOtmZ1RpfbYj9UdmiSJteWMn3B+N4b1sEz625yMxfTzPtxxPc+e0xxn51hBFfHGLc0iNM+u449/58ksf+PMdrG0P5Yk80f51O4tTlPPJLFe35IxowYMAAIBSCAISnFdWb0dlSZFIJH9zdC4C151KISG/bEcGavHZHD9xtzUgvrOC7A3F8fI8wIrX+QmqDoecgNBd/P8sfiQTWnk3hrzPJTX5cSxPBOV7SxEZiv062PDRICJh+d2sESrUGa1Mj/pobyECPDpRUqghNE16nq51Sep4e1ZU+7tYUVSh5a0vETT/6cy6xgIKyKjqYG12T9VlziiG1DhHuavQiYFs5pRLzyvjzRCIA707p2WzhRu9weSCgU52u6g93RJJZVEkXe3PemtRTvLwp4ebn3h7HrEGdm/WcUgvKuf+XUxyNzcXUSMovDw/gmVFdm90wnVlUwZyV5ymrUjPEy57P7vNt85bquvjjRCKv/xuOViuIeJ/e27fJgfO3Ik8M88DTwYK80ip+PXr5Rj+dVmEQpQz8XzNdV9faUHuBRCLhsaFCcOJfZ5IbDL68HdC36aQXVoi7bQ1xt58b3+iEqXXnU/nov6hrFjj6Cl63q+bXb8bxPb1g1r+BmferW9Xu7CO4ig5eym7zQFYvXYtMzdpne71Tqg0yuUoqlTy5+gJFFUr8O9nyyT19r1k4qDVaXlkXwrnEAqxM5KyaPahO4Um/Y9lYaObtzn9hwkjw5L5udS7CckoqORyTw0+H43luzUXGLj3C82uDxO+/uzWCr/fHsvp0MrvCszibWEBoWhHRWSUk5JWRWlDB5dwyojKLCUop5FhsLpsupvHzkcu8uy2Sh34/y4AlBwhYsp+nVl/gjxOJRLVhO5YBAwYM6OnYwQxXG1NUGi3BKVcav0EzCfSyZ4qvK1qtENDdXmswCxO5KEStOJmITCplZoAQev72lohGj+1jfZx5/U4fQAhNb6pz2spUcO40VZQCWDixB3YWxsTllIqCiKWJnFVzBjGkRhbmzvC6N8r0bXzCGF92gzEWNwO7dBvHd/RyqTWCVVBWVWszMCStcdHSQhzfaxsBdcl/USjVWkb3cGSsj3OzbpuQW8r5pCtIJXW37u2JyGRzUDpSCXw9w0987gA/HIwnqR7REWDVnEHNGiMEYeRv+k8nic0uxdnahI1PDxXXt82hpFLJ7BXnySqupJuTJctqxDy0F1qtlh8PxbH4PyFs/skRniyZ3ue2FqRA+Ft+XZdh9vvxBHJKbn7nY33IG7+KAQO3L/cNcGfpvhiCUgq5lFksCjJXc08/dz7fHU1yfjkHo3OY0Kt5B55bCRszI7rYm5OcX05oWhGjujs2eptp/u6oNVoWbAhl5akkrM2MWKDLZIDqRcDcEV6cS8wXbdiNjQheb7KLK0kvrEAqEXYj60Kt0XI0NheoblUb5GFHB3MjrpQrOZdU0OxWkobwcDDnXFJBLVGqg3nbjD9qNFrmrw8hLqcUJysTfn10AKZG19q7P955iT2RWRjLpfz+eIDopruay7lCLXVXx/rrmG93isqVHLgkiJZTfF3RaLTE55ZyNrGA84kFnE8qILOo/kWDiVzKsG4OOFmZ4GBpgoOlMXaWJpgbyTAxkmIskyKXSVGqNShUGhRKNYUVSnJLFOTo3r9xOaWkFJSTV1rFvqhs9unqyjvZmTGpryvT/Nzr/R0aMGDAQHOQSCQEetqxNSSDk5fzGNqt7Y5/et6a1JND0TlcSL7CpqA0ZujEorZmdA8n7unnzpbgdN74N4zVcwaxNyqL6KwSVp1OZu7whkeznh7pRWxWCZuD03luTRBbnx+Gp0PDx0P9CHxJZdM36WzNjXnzLh8Wbgrju4Nx3O3nhputGebGcv58YiCjvjxMTonglg1JLayzCc7HxZqXxnqzdH8s72+PZGg3+2aLGNcDtUbLngjhGHZ1K+3686m1srhCUwvRarUNOnIs2jDo/HBMDgejc5BLJbw7pVezb79BlyM5uofTNTmcOSWVvLk5HIBnRnVlgG7ioEqlYen+GH49mlDv/T4+pEuT1u412RaSzsJNYVSpNPR2s+aPxwc2KQj9amo2ODtYmrDiiYHYmF/b4NyWaLVaPt8TwzKdU+iV8d68PM77ujizbgYm9nbBv5MtIamFrDyZxCKdOH6rYXBKGfi/xsnKlDt6CwLT2gbaXcyN5TwUKLilfjkSf9s7DvSjayHNCC69t39HPprWG4DvD8ax/Hj1AdNW17ZXXKHk6xn+4uU7QjPa3O7fGvR5Ut2drWplJdUkNK2QK+VKrEzl9O9sCwjhoeN7Cu+jfZH1tzm2BE8HwXVUU5Sya6NMrq/3x3LgUo5Y0VtXOPnKk4n8eVLYif16hh+DG2gkvGxwSrE1JF1cJP9y5DL9l+znjm+O8e7WCLaHZpBZVIlUIlSRT/N3461JPuJJyzgfJ2KW3MWfTwzks/t8eW1iD54Y5slUPzfG93JmhLcjgV72DOjSgcFe9ozq7sgdvV2YEdCJ58d048NpfVj++ECOLhxD1Id38u+zQ3n9Th9GdXfE1EhKakEFvx5NYNL3x5mx7DS7wjPrbM40YMCAgeYwqodwAnw4Ordd7t/N1kzMo/l016V2Hf1/d0ov7CyMic4qYePFNN7QneB9vS+GrAY2FEAQ6D65ty/+nYR8p3mrztfKg6wLa1NhfaRQaZoVkn5f/44M9OhAeZVadIeAUDCzf/4o8evpP50kvB4H0TOju9LbTRjje/smHeO7mHyFvFIF1qbyWht+ao2WNWeFMclP7umLsVxKUYWyQfcQVG+StjZ/p0qlYfEO4XWfPcyj2eselVojtu5dLbJqtVre2hzOlXIlPV2teWV8d9QaLZuD0hj39ZEGBamujha8cVfPer9/NVqtlm/2x/LyuhCqVBom9HJmw9NDWiRIabVa3t0aUd3g/ERAu8c5aDRa3tsWKQpSb0/qySvju//fCFIgfO48O7orIEz03KrZUgZRysD/PQ/rxKatwekN7pzMGeaBsVxKUEoh5xLbPtDzZkK/qxaS2jwr/mNDPFioqyxesvMS684JQp+tbpeksLwKCxM5z4/pKt5m0b9hN81CSB9e3tDo3vFYwZI/wtuhlo18oi4YfF9kVpv+PJ51jO+1RdD5f2EZ/Hg4HoDP7+tb507q/qhsPtItdl+/04cpvvWHdlepNKTo8hyaWxd8q6PVaglPK2Lpvhjer5HxsDM8k8JyJWZGMoZ1s+eV8d6snRdIxIcTObBgFN892I+ZAzuTrQuabWwXvjmYGcsY0KUDz47uyqo5gwh6dwI/PdSfu/q4IJdKOJdUwHNrgpj8/XEOx+TcNH+DBgwYuPUY6e2IRCK4nxsTblrK7GGe+LhYcaVcyWeNhI+3BjsLY97TuV6+OxhHgIcd/TrbUlalZsnOqEZuDaZGMn57dAAu1qZczi3jpX+CGxT/9RlH0DyhRCqVsHh6H2RSCbsjsjiiawQGsDE3qpX5+MgfZ+vM46o5xrc/KpvtoTffGN8u3QjihF4utUbAjsTkkHalAltzI+7t704fnfu3sXWrhS7ovLyVG6KrTiWRkFeGg6UxL45rfoD34ZhccksUOFgaM66nU63vbbiQKmwYyqR8PcOPQ9HZ3PntMRZsCCW1oKLe+5RLJXz3YL8mB5pXKtW8vC6E7w7GAYLT79dHBtQaE2wOPx+5zLrzqUgl8MOsfvh2tG3R/TQVlVrDwk1h/HVGCGT/5J6+PDnSq10f82ZlQk9nujpaUFKpYkMDkTQ3MwZRysD/PUO87PGwN6dEoWpwrt7J2lSc+f7lFg+Tawz/zoIoE6KzQjeH50Z35elRwkHhzS3h7AjNEMfNCnXthTUPVDtCM/hDl4lwo9E7pfp3rl+UOhEv7AQP71bbGj3c2wFzYxkZRZWEt2EYa01RSv+7EJ1SLcyUiskqYeHGMACeGunFPf2uzTIITyvipX+C0Whh1qBOPDOq4QN9SkEZao0WC2MZztYmDV73dkAvRH22O5pRXx7h7h9P8MOhePH7nezMeGlsN/59dghhH9zBmnmDeWV8d4Z2cxDbfwA2XkilvEpNd2dLhnSt34XWWsyN5Uz2deWXRwZw4vWxvDCmG1amcqKzSpi94jxzV10QxTEDBgwYaA72libixkZNcaQtMZJJWTK9Onz8Qju0/emZ5u/GqO6OVKk0vLUlnMXT+iCVCGUmx+Mad4M5WZvy+2MBmBpJORKTy+d76hfR5DIpZrqx+dJm5EqBMII3W9ca+P72SCprNPj51ijZKKpQ8sgfZ7lUR2RCT1drXhzrLd7HzZRJo9Fo2RMhtMvddVW20erTgktqRkAnTI1kYuRCaGrD6y99xmlr3CS5JQq+1wk5iyb6iG635qAPOL+nnztGNTY4UwvK+UjnwBro2YFFm8J45u8g4nJKMbkql6mve+0ilfkTutPnqssa+hke+v0M20MzkEslfH5fX96c1LPFGUzbQtL5cq/QkPnB1N6Mb+eYkyqVhpfWBfNvUBoyqYRvZvjzUGDndn3MmxmpVMITuubH9edTb8mNRoMoZeD/HqlUwiODBbfUHycSGwzRfHqkF1IJHInJbVI73a1KT1crjGVSrpQrRfdLU5FIJLxxpw8PBXZGq4X560NEB1KhLtjc0aq2aPHp7mjOJOS3yXNvKVUqDWE6MUk/lnc1pQqVGIQ+wrt2boapkYzRuhGGvY1U9DaHLvbmSCRCCKq+bU/vPKtUamotQptCcaWSZ/6+SIVSzQhvBzGYtSZpV8qZs+o8FUo1I7s78tG0Po1aofWje16Olre1bfpybilf7KkWopYdvUxKQTmmRtWH0yFe9hxfNJYFd/RgQBe7WgvOmijVGlacTALg8aEe1+11c7Ex5bWJPTi+aAxPjfTCWCblUHQOE74+Ku5KGzBgwEBz0GcsHoxuH1EKIMDDrlb4uLKNi0X0SCQSPr6nD+bGMs4lFhCWVsTjOvHnvW2RTTru9u1ow5f3+wHw27EENl1Mq/e61mbCRkVRRfPLX16Z0B1naxOS88vFESaoznZ8YEBH/DvZUliu5OHlZ4nJKrnmPp4d3ZVertYUlit55yYa4wtOLSSruBJLEznDa6y5kvLKOBqbi0QCj+imHfSiqH69WR96F1BrMqW+3BtNiUKFb0ebOgPKGyOnpJJDur+TmQOrR/fUGi2vbgilTOfiOhmfT3h6EebGMl4c2w1FjfHOd6f0IjKjWoAL6NKBZ0ZVTyE0RExWCdN/OklQSiE2ZkasnjuImQNbLuicTcgXNzrnDffksSEeLb6vplCpVPPUXxfYFZ6FsUzKTw/1F4ur/p+Z6ueGiVxKTHYJYU0I/b/ZMIhSBgwgHBSsTOTE55RyJLb+BVUXewsm60aYbme3lIlcJgYhBzcjV0qPRCJh8bQ+TPVzQ6XRslPXjqJv83PSiVLGMinT/d1Qa7S8sDao3Wz/TSEqs5gqlQZbc6N6g0nPXM5HpdHSxd68zjl5/Qjf3jbMlTI1kuFmYwYICzEQ7Od6/aKxvIqaaLVaXtsQSmJeGe62Znz3YD9kV+2KFVcqmbPyPLklCnxcrPjpoX71iio1uZ1Dzosrlaw9m8K9P59k3NKj/HykWoia1NeFnx7qz/FFY8UWpRfGdmvS/W4NTie9sAIHSxPu69/8hW1rsTU35q1JPfnvpeH4drShuFLFc2uCWLov5rZvGTVgwEDbos9VPBqb26zQ7ubyxl0+dDA3Iia7RGyeaw86djDntTuEOIJPd13i4cDOOFmZkJhXxs+H4xu5tcDdfm68qDsevLU5nIvJdY+W2VsIa6K8MkWzn6eliVwM2f75yGWS82tnO2aXKFg1ZxC+HW0oKKvi4eVniM+pLUzpx/jkUgn7bqIxvt26TZJxPZ1qlbD8fUZwSY3u7khne2Et5qdz4F/KKG5QrBTH91rYvheWVshGncD4/t29W+Qs2hyUjlqjpX9nW7o5WYmXv7M1nHM1HIDGcilzh3tybNEYVDWOySO8HUi/UoH+IksTOd/M9L9mPVcXR2JyuO+XU6QXVuBhb86W54a2qpwnPqeUp/66SJVaw119XHhrUtPzrFpCqULFEyvOcSQmF1MjKcsfD2hRQ+DtiI2Zkego1OeV3UoYRCkDBgArUyNm6Wyfvx9reJGjH2PaGZZBgu5E/Hakn84tFNLIrlN9yKQSls7wY5xP9ax8qE651zulqtQaXr/LBx8XK/JKq3huzcVmBX22JSG6Kmv/Trb1OlZO6Cqeh9XTLjTGxwkjmYT4nFLic9ruvaEXyRJ0opRUKhGD2Isrmr7bt+xoAvuisjGWSfn54f7iGKAepVrDc38HiXXAfz4xEKsm2tIv51Q7pW4HtFotF5IKeGVdMAOXHOCtLeEEpRQik0oY6+PEjw/1I+jdCfz88AAm+7qyOyKTkkoVHvbmtSq560Ot0YrC9rwRnnW2Hl4vujtbsfnZoTw5QrB+/3Aontf/DTMIUwYMGGgyPV2t6OpoQZVKw4FLbVv4UZMOFsa8qTvx/fZAHGlXmufmbg6PD/XAr5MtJQoVn++J4cOpQpnLL0cvE5t9reOoLuaP787E3s5UqTU8/ddFMgqvzQSytxSOxfmlLRvJn9zXlRHeDlSpNLy3LRKtVktXJ+FYfDmnVHDDzBlEbzdr8kqrmPX7WXEjSU8vt+oxvg93RJFf2nyBrC3RarXsFkf3XMXLK6rU4ujbo0O6iJd3tjPHykROlVrT4PrL3Ljl43tarZYPtkei1QpjdwMayB9t6D70mT/6gPPcEgUzlp3mn3PVWUAzAzpxdOFo3p3Si/C0In45Ur0R/u1Mf7GABmDx9N5NChRfdSqJOSvPU6pQEehpx5bnhrVqzZZbouCJFecoqlDSr7Mt38z0b/H4X1MoKlfyyPKznEkowNJEzuo5gYxsZsvg7c5Uf8E4sT8q+6ZxPDYVgyhlwICOJ4Z6IJdKOJ2QX29TCUBvNxvG+Tih0SKGA96ONNUK3RBGMik/PdyfDjXqYNMLKzCRy8QRtJJKFcseGYCVqZyglMImBYm2B+HpwjhmQ8GMelFqRD2ilLWpEUN0O05tOcLXyU5wSqVdqV7M6jMMmrojfSo+jy/3CrkWH0ztLeYv6NFqtby3LYIT8XmYG8v44/GBuNmaNfk5xmQLr193Z6tGrnlzU16lYu3ZFCZ9f4L7l51ma0gGCpUGbydL3prkw+k3xvLnEwOZ4usmZkNpNFpW6sbwZg/zbNKibG9kFgm5ZVibynn4JshBkMukvD25F1/c74tUAhsvpvHWlvBbblFjwICBG4NEIhHLMHaEtu8Y8P39OzLIw44KpZoPd7TfmkGmy9qRS4UgcC0woZczSrWWN5oo3EulEr6e4a/bfFPw1F8XrmkddtSFkrdUCJJIJHw4tTfGMilHY3PZG5lFN53YkF5YQUWVGltzY/6eG4iPixW5JQoeWX6W1KviGZ4d3RUfFysKyqrEkpMbRXh6EemFFZgbV0cjgJBDWlypopOdGaO6V296SqUSeuoc/pENxGtYmrQ86HxrSDpBKYWYG8t4465row+awsXkKyTklWFuLGNsTye+OxDHsM8O1XJI7Zs/ks/v98XVxozwtCJmrzwvfu/AgpFiSQ0Ibrzp/g2Prqk1gpj2/vZINFphpPOvuYF0uGpjsjlUVKmZt/oCaVcq6GJvzvLHAtp1cy27uJIZv54mJLUQW3Mj1swLZJCnXbs93q3K0K5Cvm1mUSUR6bdWzIxBlDJgQIebrRlTfIXdmF+ONmzNnj+hOwDbQzOavFt2q6EP+45ML7pmAdUcTI1kbHxmqPj1o8vPcqWsShzhyylW4OFgwbcz/QEhvHLzDbCd6ptpfOsJicwsqiA+pxSphAatzhN7CyMM+9pQlOrYQdgBS68hSulHxUqaEIyaWVTBi7rQ8vsHdGTWoE7XXGflqST+OZeKRNea0tSwTBAaUGKzhZ3Jnq63piiVnF/GhzsiCfzkIG9tCedSZjEmcikzAjqy7flh7Js/kqdGdsXJ+tqa5KOxuSTklWFlKm9SvoRWq+Un3aLyiWGeTXajXQ9mBHTi2wf7IZXAuvOp/Has/uppAwYMGKjJ3X7CGup4XK44rt8eSKUSltzTRxSL2nIT6Gp8XKzFuvX3t0fy6h3dsTCWEZRSyBpdw3BjWJjI+f2xAOwsjIlIL+a1jaG1BH+9UyqvFe4kL0dLsWTmox1RGMulohs6IU84PnewMGbNvEC8nSzJLKrkkT/OklOj4MJYLuXz+4SNiW0hGRyKbj/HW2PsChd+p2N6VI/uabVaVp9JAoQsqavH1XqLolT9G8v6oPOyKlWzNl3KFCqx9fH5Md1wrmMt0BTW61xS5VVqJn9/gm8OxFJVY9zw3NvjxM291IJyHvr9jPi9ecM9cbY2FbMoAZZMbzjzs0yh4snVF1h5SrjN63f68MX9vrWaDJuLWqPl5XXBhOoEohVPDMTesv0KbpLyyrjvl1PEZJfgZGXC+qeGXLOxakDA1EjGKJ17rD0dq+2BQZQyYKAGz44WZv93hWfVGQapp4+7DXf2dkGrhW8PxF6vp3dd6djBDFcbU1QaLcGNVOw2hod9ta04Ia+MuavOiyfi+qaXcT2deUlXq/vm5vAGFxVtTXmVijhdxkLfjnWLMSfj83Xft8XGvH4RYYKucSQ0rajNWmw6dtA7pap3NaudUg2LUgqVmmf/DiK/rIpertZ1LmCOxeayWLcr+uZdPozr2bzWlKT8MqpUGsyNZXTq0LiF/GYiOOUKz/59kdFfHWHFySRKKlV0sTfn7Uk9OfvWOL643w+/BkY6AdFG/+DATk2qUj4UnUNkRjHmxjKxOelmYqqfmzim8vmeaE7pHIIGDBgw0BDdnKzo6WqNUq0VRYX2oruzlVj//t62iGblKzaXF8Z2o6ujBbklClaeTGKRriDk893RTc7C7GRnzrJHBmAkk7AzPJPvD1ZvfjqITqnWCXnPje5Gxw5mZBRV8v2hODHjseY4m72lCX/PC6SznTnJ+eU8vPwsBWXVj+vXyZZ5I4TX9e0tEe2aD1Yfwuie4La7q291XlBYWhER6cUYy6Xi6FtNersJ67eGnFL6TCmtFiqaURTz0+F4sosVdLYzZ+5wzybfrialCpWYRwXC+FtNfnm4P05WgthVWF7F4yvOUaIbM7QykTN/Qndm1RCp1j01GBuz+tejWUWCu+hQdA4mcim/PNyfZ0d3bVWpin6EcV9UNsZyKcsfC2jX2IaI9CLuX3aKtCtCBta/zw6lh8utufl5vdCXApxLbL+G0vbAIEoZMFCDHi5WTNIdAL8/1PBo3vwJ3ZFIBAHregoo1wuJRMJAD8Ea29oPNrlMKi66AIJSCsXAz5waB+VXxnkzuocjCpWGZ/6+SFH59VkMXcosRqMVsq7q2/06oauBHt6t4bwgJytTsYr5SEzj1dFNoVqUqssp1fBr9PHOS4SkFmJtKmfZIwOusVfH55Ty/Nog0UX1pG4x2hwuZQqCXg8Xq3bNE2grNBotB6KymbHsNPf8fIrdEVlotTCquyMrZw/k8KujeXKkF7bmjVvbY7NLOB6Xh1RCkxpnNBqtWJv86JAurbLPtyePDO7CjICOaLSw6N8wylpRn23AgIH/H+7VtWCtP980F1FreHmcN54OFmQXK/h0V3S7PY6JXMZn9/kCgoO0m5Ml/TrbUqpQ8f72iCbfzyBPOxZP6wPANwdi2aMTXvQuk7yy1olSZsYycUPhj+OJYhD25asylpytTVkzLxBnaxPickp5/M9ztdYS88d3p4u9OZlFlXy+p/1e1/qIziohOb8cE7lUbHUEWHtWeE9N7uta57Gzj7vglIrKKK53tNKsxhqoqVMAKfnlLD8ubD69M7lni8bUwtIK6fP+XvHrDuZGLLqzB+66mIR7+7lzV1/BaVipVPPk6gsk6FqNAT6/35fs4uqRLDcbUwY3kF8ZlVHM9J9OEplRjIOlMeueGizef2v45ehl/jqTjEQC38zwJ8Cj/UboziTkM+u3M+SVCpuqG58Z2qTsrP93Bul+J8GpV25YTm9LMIhSBgxchd6tsys8s8HRvB4uVkzWfcB/s//2zJbSz2u3hdquDzd/YUw3TGrYhnOKq0UpqVTCtzP96WRnRmpBBa+sD74uYcv6DLG+9YysabVaTuicUsO7NR6qqF9EHW6jamx3W+EgnFVciUpn827K+N6u8ExWnxZaar590F9sqdFTWF7FvFXnKalUEdClAx/f07ANvD6is4RFko+LdbNvez1RqTVsDkrjjm+PMW/1Bc4lFWAkk3Bf/47sfWUkq+YMYnQPp2YJa8uPC+Ntd/RyadJi6b/wTKKzSrAykfNsE+ubbwQSiYT37+6Nu60ZaVcqbuv8PAMGDLQd9/Z3x0gmITStiKgGHCttgamRjE/v7QvAP+dSOJOQ326PNdDDjkcGC/l/b28J5/27eyOXStgbmc2eiKa7wh4c1JkndA7ZBRtCic4SRAOAvJLWh4uP6+nMhF7OqDRacfMvro7g70525qyZF4idhTHh6UXMXVmddWVmXP26/n0mhbPt+LrWhX4cc4S3o+g+Lq5Uiq2AD9WTw9jV0RJjuZRShYqUgroD8KVSiTi61lSn1Ce7LlGl1jDC20F0wzeVrKJKFmwIYeqPJ8XLTORSji4aQ0ZhBemFFbjamPK+TkzUaLS8ujGU80nVEwojvB2Y2NuFsUuPipcdfHV0vY95OCaHB5adIqu4km5Olmx5bhj9Ojc/lP1q/r2Yxhd7hE2196b0YrJv60Wu+tgflc1jfwpOsUGedqx7erB4HmGgYbo5WdLB3IhKpYaIW8g0YRClDBi4Ch8Xa+7qI4zmfd/Iidgr47sjlQhzuxeTby2bZFMI1IlSQSmtV9v1GVKd7c35flY/8fKaDSIg1NQve2QAJnIph2NyxYay9iQsvWFRKia7hLxSBWZGMvp3sW30/sbqGgePx+W1yS6Fk5UJRjIJao2WLF3+g1UjQefJ+WW8vikMEMJLx/rUXkgp1RqeXxtEUn457rZmLHt0ACbyloVURuucUjdrnpRKrWHTxTTGf32UBRtCic8pxcpEztMjvTi+aCxLZ/i1yA6eXljB5qB0AJ4a1bjDTKnW8PU+YUH3VBOdWDcSCxM5H00TFsqrTiXVyh4xYMCAgbqwtzThjl6C43zddXBLDfayZ9YgQaR4498wKpsxktVcFt3pg4u1KUn55eyOyBQznN7f3rzxwXcm92RYN3vKqwRHjFwqnI611cj/+3f3wtSo+hQvup44im5OVqyeMwgrUznnkgp4+u+LKFTC6ze0q4OYP/nG5vB2fV2vZl+kkIVzR+/qdcvW4HQqlGq8nSwJqKf1zkgmxUd3LG9ohE/vlqpUNr4+O305nz2RWcikEt6d0qvJG3cVVWq+PxjHmK+OiOsEPWfeHEdwSiF/nxH+Pr56wE8cw/t09yV2hlUXBRjJJHwwtTc/1wg3nzPMEzPjutdrf51JZu7K85RVqRna1Z5/n20bd9Gx2Fxe/1dYUz490ovZw1o2wtgUNl5I5Zm/hTbu8T2dWT1nkBhZYaBxJBKJKEJGphtEKQMGbmn0bqmd4ZkN7vR1c7IUg40/2RV92zVVtaXarhelcksUTOztwtCu1bbjdVeFhfZ2sxFPhpfui2n3ueiIRkSpE3FCps4gT7smCTd93W1wsDShVKHiQlLrn7tUKhEt3vqwc71TqrgOp5RCpeaFtcGUKAQH1Ku6YP6afLQjipPx+Zgby1j+eECt8crmol/w3mxOKaVaw4YLqYz7+iivbQwlKb+cDuZGLJzYg1NvjuXNST1xsWlZWCnAb0cvo9JoGdrVXiwGaIh/L6aRlF+OvYUxs1uYSdFaSiqVxGaXcCQmhw3nU/n9WAJf7o3m7S3hvLA2iLkrz/P4n+d4ePkZZvx6mmU6UVih0jDok4Ms2hTKZ7uj+eNEIttC0jmfVEB+qeK2++wzYMBAy3lQJ2ZsCU6/LmLGm5N8cLY2ISm/nG8PtJ+r09rUiCXThfG7348lMLqHkzg++KXOQdIU5DIpP87qT2c7c1ILKsTW4bzSqjZ5vTp2MOfFsd7i14l5ZZRX1e2q7uNuw8rZAzEzknEsNpdX1oWIjuw37uqJs7UJiXll180tm1pQTlRmMVIJjNflW2q1WnF07+HAzg0KQ00JO68WpRp+rdUardhC+HBg5ya1C2u1WraFpDN26RG+3h9LhVLNgC4d6KG77b393JFIYNGmUEBo/h6ma3ReeTKR34/X3qh9coQXZQoVS/dX59cuurNHnc91yX9RvLs1QmzYWzl7UIOZU00lIr2IZ/++iEqjZaqfG6/f2bLmwabw+7EEFm4KQ63Rcv+Ajix7pH+7tvrdrng7Czlfdbkkb1YaT2Q1YKCVKNUa0q5UkF1cSXZxJbklCkoqVVQq1ZRXqalSaZBKJRjJJMh0tlprUyNszIywNTfC1swYZ2sTXG3NxCrX9qanqzVTfF35LyyTz/dEs2rOoHqvu2BCD7aHZnAx+Qp7I7O4s0/72VmvN/pcqX1R2ZxLLGjSiXd9ONYQpQAWTOjOqcunAXh7awTuHcwY4V09GjcjoBNnEwrYHJzOi/8EsfOlEa0STuqjvEolhoDWF3J+JkEQlmoKaQ0hlUoY3cORTRfTOBSdw9Bu9bf1NRX3DmYk5ZeTdqWCQKqdUnXtzn66K5rw9CJszY34flY/5LLa+w9/nUkWMwG+nelPT9eWi0lFFUrSCwWh7GYJn1RrtGwOSuP7Q3GkFgjPzc7CmKdGevHo4C5NCiNvjNwSBet0LTovjOnW6PUrlWrRefns6K7t+llWXKkkIbeM+JxSLueWEp9TSmpBOemFFU1qa2yIDRfqbsa0MTOiq6MFfp1s6de5A/0724qtkQYMGPj/YlhXBzp2EEZ/d4Rm8EAdodRtibWpEYun9eGpvy7y+/EEpvi6NqtBtjmM7+XMVD83todm8O7WCD6Y2pvH/zzH32eTmd7PjQFdmpax08HCmN8fC+Den0/WcjJlFVXi4WDR6uc5b4Qnmy6mkZgn5BLFZpfiX09j2YAudvz+WABzVp5nd0QWi/4N46v7BffOkul9eXL1BX47lsDkvu33uurZFyW4pAZ62IntgUEphURnlWBqJOWe/g033PZyswFSG3RK6V1kjYlS68+ncimzGBszI+aPv3Zz72qCUq6w+L8oglMKAXC3NeONu3wY6e1I4KcHAGH08N1tkWQXK/BytBAFnj0RWXyoE8D0uNuaMWe4J/f9ckq87PU7fa4RacqrVLyyLkR87RZO7MFzrQw015NaUM4TK6qdV18+4Nsu2aFarZYv9sbwyxFhI+ypkV68eZdPm/wM/490dxLW43HZBlHKwP8pGo2WS1nFnE0oIDi1kNisEhLySlGq22YX3cbMCDdbM9xtTenqaEk3p+p/bV2r/todPdgTkcXR2FxOxefVKyy42Jjy5AgvfjgUz+d7YhjX0xkj2e1jQhzkKYhS5xMLeKYVGTh6p5Tenu6qc/6AICI893cQm2q0akgkEhZP70NoWiGXc8uYvz6EVbMHtfnBUB9y7lRPyLlao+VcopCn0FCo5NWM9XESRKmYHN6Z0qvVz7OjrTmQL4ad15cptSciU6z+/XqGH241XmeAswn5fLg9EhDe43f0dqE1RGcKCz93W7M22ZFrDVqtlv1R2Xy5N0bcHXKwFMSoRwZ3wdy47Q55y08koFBp6NfZliFNECtXnEwio6gSVxtTHhncpc2eR26Jgoj0IiLSiwhPLyIyo1gUCevDxswIVxtTXGxM6WBujI2ZkfjP3FiGXCYVNwmkEgkVVWpe3Sjs6vZytSbQy47cEgW5JQrSrlSQUVRBUYWSoJRCglIKxbpqLwcLxvo4Ma6nM4GedrdECL4BAwZaj1Qq4eHALny+R3BV3j+gY7ufXN7R24XJfV3ZGZ7J6/+Gse35YddsyLQV79/dixPxeURnlRCSUsgDAzqy8WIar/8bzn8vDm+ys6OHixVfz/Tn6b8uipdlFFa0iShlIpeJghnA9pCMekUpEBq7fnyoH8+uCWJzUDpWJnI+mNqbCb2cxU3aRZvC2PbCsHZd4+7T5UlNrLE20bukpvi6NbrOqHZKNSRKCb+fhjKliiuVLNWN278y3rvBUpLMogo+2x3NthAh88rcWMbzY7oxd7gnpkYyVp5MpFKpoYezFRlFlewIzUAmlfDNDH/MjGVcTL7Cy+uC0WqFkOqglCuoNFo+mNqbpftiSM6vzsfS55rpySmpZN6qC4SlFWEsl/LVA35M9XNr8DVqKgVlVTz+5znyShX4uFi1KuahIdQaLW9vCRc3+t64y6dV5xsGhEkXgPhcgyhl4P+IKpWGk5fz2BmWyYFL2RTW0ZhmZiTD1dYUJysTnKxMsTaTY2Ykw8xIhrFcikYr5L6oNFoUKg3FFUqKKpQUVigpLK8iq6iS4koVRbrLL2UWc+BS7RBpVxtTertZ49vRFt+ONvh2tBV3WVqCh4MFDwd2ZtXpZD7dHc2254fVe1L11Egv1p5NITGvjH/OpTSphetWQQw7TypArdEia+GJpZNO8NEHmztbmSCVgEYLHvbmJOWXM2flebY8N1S8roWJnJ8fHsC0n05wPC6Pn4/E80INS3pbENZIyPmlzGKKK1VYmsjFxU5TGO7tgFwqISG3jKS8slYvMvUNfOmFwuJEL0qV1hClUgvKWajLkXpqpNc1OVIZhRU8tyYIlUbL3X5uPDe69Qf9CN3CrzVuq7bgXGIBn++JFoNdbcyMeG50Vx4b4lFv9kJLKSyv4m9dgPwLY7o1erKVU1LJT7o8iIUTe7TYiq7WaInOKuZ8YgHnk69wMemKmDF2NU5WJqJw39XRAg8HC9xtzVrsOI3LKWXZ0cv0cLHi/bt71/pepVJNYl4ZsdklBKcUEpRyhaiMYhLyykg4kcjyE4m425px34COzAjoaHBQGTDwf8BDgzrz/cE4orNKOHU5XxxRak8+mNqbE/F5RGYU8/vxRJ5tg2NcXdhbmvD+3b14eV0IPx6OY828wRyOySU+p5QfDsWxcGLTx5sm9nZh/vjufHNAGM/aHprRJu5qEBpl9fx5MpF3p/Rs8Hh1R28Xvp7hxyvrQ1h1Ohl7SxNeGuctvq5RmcX8fjyB50Y37g5uCfmlCs7rIg/0geJF5Ur+C2s44Lwm+kypvFIF+aUKsdmwJqIo1UD73g8H48gvq6Kbk2W9G0lVKg3LTyTww8F4KpRqJBK4v39HFk7sIa5jtVota3Si2vheTry7VWhrfGFMN/w62ZKYV8a8VedRqDSM6eFIUYUSlUbLhF7OqDVa/jmXKj7eK+O9a23Ax2SVMGfledILK+hgbsTvjwW0WRteRZWaeavOk5BXhrutGavaKdepUqnmlXUh7InMQiqBT+7py4ODGv89G2gY/YZ0XqkClVrTbgJ9W2IQpQy0mPxSBX+fSeGvM8nklVY3hlgYywjwsGOQpx09Xa3o7myFu61Zq3fJShUqMnVNFakF5cTnlBKfW0pcdik5JQoyiyrJLKqsJVZ1sjPDv1MHBnnaMdjTjm5Ols16Hi+O82bTxTTC04v4Lzyz3t0HK1MjXhnvzbvbIvnuQBz39HNvc+fWjaKXqzVWJnJKKlVcyixusXVbHN/TvVfkMiku1qZkFFXy/tTefLQjisS8MuauusD6pweLrpYeLlZ8NK0PizaF8fX+WAZ0sWuSM6WphOvypOr7ufRtPgM9OjTrQ93a1IiBHnacTsjnUHQOc1qZIeSuE6X0Timzq3b6qlQaXlgbREmlin6dbVk4sXbmQKVSzbN/XyS/rIqertZ8cZ9vm+xch6cVAuBXz+hje3Mps5gv98ZwSNd0aGokZc4wT54e1bXdnFu/HUugrEpNT1drMdS+Ib7eF0upQoVfRxum+7s3+XHUGi3h6UWciMvlXNIVgpKvUKqo7YyTSITGoT5u1vRxt6GPuw09Xa3b/Gcf2d2BZUcvcyI+D61WW+u9Y2oko6erNT1drZmm+/mKK5WciMvjUHQO+yKzSC+s4PuDcfx0OJ5p/m48N7qbuJNnwICB2w8bcyNmBHRk1elklh9PuC6ilKOVCe9M7snCTWF8eyCWib2d8XJsn8+ZqX5u7AjN4MClHD7ZdYnF03rz7Joglh1N4M7ervXGAdTFi2O7iaLUuvOpvDTO+xqXc0t5Zby3mLO1I6z+dayeaf7uFJYreX97JF/vj8Xe0piHA7vw3pReLNgQyrcH4pjY24Wu7fC6HozOQaMV3E76cO5/g9JQqDT0dLWmXwNOLz3mxnKxwTkup7ROUUrMlKqniCYht1R0/L4zuWedzrBjsbl8sD2SBN14ZECXDrx/d+9rfu/nk64Ql1OKqZGU05fzKapQ0tfdhhfGdiOvVMETK85xpVyJb0cbRnV35IMdUZgby3h2dFfmrDwv3o+liZzZQ6vXkcfjcnnu7yBKFCo8HSxY8cTANnHYgWASePGfYIJSCrExM2LVnIF1ThK0lqJyJU/qmpCNZVK+n+V/W0Wg3EjsLYyRSYWCpLzSqlblp14vDKKUgWZTplDx69HL/HY8QWyucLA0YVJfwTo9oEvzTt6biqWJHG9nK7zrCBosKlcSm1NCWFoRYWmFhKcVkZBXRmpBBakFQqYBCH+kgzztGOxlz5Cu9ng3IlI5WJrw9KiufL0/li/3RnNHL+d6XQ4PDurMipNJJOSV8dPhy7xxV/sFAV5P5DIpgV72HLiUzYn4vBaLUs5WwgdiVlGleFLramtGRlElFVVqVjwxkHt/OUV4ehEv/RPCr48OEF1Z+nypf4PSeGldMLteGtFm1bCXdM1x9bmg9HlSzRnd0zPWx4nTCfkcjmm9KOVqIyxQ9c4YvWinz0T4Yk80oWlF2JgZ8cOsfrUWUVqtlne2RhCaJuRM/fbogDZzD+mbC/tcZ1Eqp6SSr/bGsPFiGlotyKQSHhzYiZfGebfL4klPbolCXKwumNC9UWEvMqOI9ReEnc737u7V6Ahb2pVyjsflcSIujxPxeRRV1HaeWpnI6d+lAwM9OjCgix2+HW3aJCOrMfp37oCxXEpuiYLk/PJGF7/WpkZM6uvKpL6uVE7vw76obNadS+HU5Xw2B6WzNTidRwd3YcEdPW742KcBAwbah9nDPFl9JlnnIiqhm1P75w7eP6Aj20MzOB6Xx6JNYax/ekiLHd4NIZFIWDK9L2cTjhKSWkh6YYU45rZwUyjbXxiOsbxpa2GpVMIzo7qKxRJP/3WRjc8MaZOA5/E9nUVR6uOdUYzzcWr0mPH4UA/ySxV8fyied7ZGYGduzD393NkWksHR2Fze+DeM9U8NafORbP3onr69UavVslZXhPNQIwHnNenuZCWIUtklda7d9OufynqcUh/vvIRKo2VMD0dG96i98ZReWMHiHVHs0T1XB0sT3rzLh3v7u9f5/NacFVzVlUoNQSmFmMilfDPTD5Vay9xVF0jOL6eTnRlfPeDHjF+FnNWXx3nz9b7YWpMnTwz1wMZcOFauO5fC21sjUGu0DPKw49dHBzQ4XtgctFot722P5MClbIzlUpY/HtAuf7fphRU88ec54nJKsTKV89ujAW264fz/jlQqwcHSmOxiBTkllbeEKHXze7kM3FQcj8tl3NKjfH8onkqlBt+ONnz3oD+n3xzLR9P6EOhlf0Msgjbmgitl7nBPvnuwH4deG03o+3ewZl4g88d3Z2hXe0yNpOSXVbE7Iov3t0dyxzfHGPrZId7cHMbeyKxrHAh65o3wxNnahNSCCv44kVjndUCoon1zUk8A/jyRKIZL3g4M6yYcKE7G57X4PlxsTJFIhBavgrIqoNpeqs9Q+O3RARjLpRy4lM3HOy/Vuv3i6b3xdrIkt0TB/PUhqDWtzymrUmmIzxFEqbrGz1qaJ6VnjM5FczahgLJ63l9NxdlaEOGyiwRRysxY+Dsrr1JzOCaH5br35pf3+14zHvXXmWQ2XUxDKoEfZ/Vvk3pgEJrcEnKF93l9449tTaVSzc9H4hnz5RE2XBAEqcm+rhxYMIqP7+nbroIUwE+HBZu+Xydbxvds2CWl1Wr5aEcUWi3c7Vd3AK5KreFMQj6L/4ti7FdHGP75Yd7cHM7O8EyKKpRYmcqZ2NuZD+7uxc6XhhPy/h2smjOIF8Z6M6Sr/XURpEBwQ+l3xuOb2eZiaiRjqp8ba58czLbnhzG+pzMaLaw6ncy4pUc4eCm7PZ6yAQMGbjAeDhZM0DWoNbR+akskEgmf3tsXC2MZF5KvsOJk+z2ui40pb08W1n1f7Yth9jBP7CyMic4qEQObm4p3DedoeHoRr/8b1iatpjUdqdnFCr4/1LQWvfkTuvNQYGe0Wnh5XQinE/L5+J4+WBjLOJ90hTVXtSa3ljKFimO6puOJfYT3zLnEAuJzSjE3ljHdv+k5Sd10zWOx9YQ8i0HnqmtFqWOxuRyMzkEuldTKA1Wo1Px0OJ5xS4+wJzILmVTC7GEeHHptFPfVk5mWX6pgd3hWrctev9MHTwdLXloXTGhqIbbmRqycPYjfjyVQWK7Ex8UKjRZO1FhvmxvLmDPcE41Gy+d7onljczhqjZbp/m78NW9QmwlSIKxx1p5NQSKB72b6M7CNxgFrEp1VzH0/nyIupxQXa1M2PjPEIEi1A3YWwnmD/pzrZscgShloEvoPwkf/OEdWcSWd7Mz45eH+bHt+GNP83W/KYG8bMyOGdXPg5fHerH1yMGHvT2TTM0NYOLEHI7wdMDWSkllUyT/nUnn6r4v0+2gfs347w69HL3O5RjCcubGct3Ri04+H4sksqj9EeHxPJ0Z2d6RKrWHJVS0atzLDdbb7c4kFLa4rNpZLxbBzfRCzm61pra8DPOxY+oAfIOQfrNIFdoPwe/j54f6YGck4EZ8nZvS0hsu5Qgi/lYlczGyqSUvzpPR0dbSgs505VWoNpy7nt+q56sWWsio1pQoVZkaCGJF6pZyFuhDqx4d0uSa4/GxCPh/tEN6Lb9zlw3DvthuhiEivDjlvj2bEmmi1WnaHZzLhm6N8sSeGsipBGPr32aH89FB/PNvItt4Q6YUVYuDqwjt6NLpruzcym7OJBZjIpbxeo8K5TKFiT0QmCzaEEPDxAR787Qx/nEgkIa8MmVTCgC4deGW8N/8+O5Tgdyfw66MBPDHMk95uNu2y499U9Cc3l1sRnOnXyZbljwewZl4gXR0tyCutYu6qCyz5L0qsITdgwMDtw1MjvQDYdDGNjEZKGNqKjh3MRUHhy70xzRbSm8PMgZ0Y2tWeSqWGL/dG8/7dwuP+eDiO6Kz6w7avpua4nkwqYVtIBr8dS2j189OPV+v543hik14PiUTC4ml9uKuPC1VqDU+tvkhhuZJFura4L3ZHk11PpmFLOBabS5VKQ2c7c3roJiL0Lqmpfm7NisTQN4/FZpfU+f36MqVUag2LdWv3x4Z4iBsxR2JyuPPb43y5N4ZKpYZBHnbsfGk479/du8GcpU0X06iqcVwb4mXPE0M9+HBHJPujdE6kxwLIK1Gw8aLQbPvw4C58sz+21v08OqQL5sYyXvwnWBQ7Xx7nzTcz/ds0eHzjhVS+2ic89gd39+auvm0/Snfqch4P/HKarOJKvJ0s2fzcUHxcbmwm6e2KXnxV1DOmerNx8ykJBm46qlQaXlkfIn4QPjK4M/vnj+Kuvq63VFWnsVxKgIcdz4/pxl9zAwl57w5Wzh7IE0M98LA3R6nWcjohn093RzNu6VHu+OYoX++P5VJmMVP93Ajo0oEKpZpPd0XX+xgSiYT3pvRCLpVwMDqHw9E59V73VqKbkyVOViYoVBqCdEHSLaGmMwrATTeSlllYvbC5289NzEP6cEdkLReFt7MVS6b3AeDbA7GcbqXQo18w+rha1flebmmelB6JRMLI7oIIdCIutxXPVAh9t9K5YrKKKkX7uVYLeaVV9HC2Ep16ejKLKnh+rRBsPtXPjSdHeLXqOVxNRHrDIfFt+TgzfzvDs2uCSC2owMXalG9m+rHl2aEM6NKhXR+7Jj8cjKNKrWGIl73oHqyP8iqVuLh9coQX1mZGbLqYxpyV5+m3eD/P/C00HBWWK7E1N+Le/u788nB/gt+bwL/PDuWV8d3bbRS6pbjo3Ho1MwRbyrBuDux6eQRzhgljrctPJPLcmqAWi94GDBi4OQnwsGOIlz1KtbbZ7qHW8ODATozwdkCh0vDaxtA2cVfXhUQi4bN7fTEzknEmoYAyhZoJvZxRqrUs3BjWZLHdw0FwMMukEnEj9LM90RyOaf060rfGMVql0fLB9sgmubBkUgnfzPRniJc9pQoVT6w4xwhvB/w72VKiUPHhjshWPzc9+6KEtd7E3s5IJBIKyqpEl9HDgc1rrO2uE7XqE9+uzuTUs+ZsCnE5pXQwN+Llcd7klih48Z9gnlhxnsS8MhytTPh2pj/rnx7cqJCi0VSPHoIwev/VDD9+P57A6tPJSCTw7Ux/fDva8o4u/Hy6vxurTiVRpdaIo5+mRlLu69+RWb+fYWd4JkYyCUsf8GN+E+IDmsPhmBze2BwOwDOjuvL4UI82u289O0IzeOLP85QoVAzysGPTM0PbLDvNwLWY6gRLgyhl4LZAq9Xyxr9hbA/NQC6V8O1Mf5ZM79smc+43GlMjGaN7OPHB1N4cWTiGI6+N5oO7ezGyuyNGMgmx2aV8fzCOu747zpivjogiwPbQDM4lFtR7v92cLJk9zAOAj/6LouoW+TBoCIlEIrqlTl5u+Qif/uCjD+sWRaqr3GfPje7KzIBOaLTw0j/BtXYb7xvQkQcGdESjhfnrQ7jSCluqPk+qvua41uRJ6RnhLbTfHG/F6KMeJ50okFNciXmNTChjuZTvZ/Wr9XdZqVTzzF8XySsVgs0/b6Ng85ro86SaE+jaHArLq3h7Szh3/3iCczrH0UvjvDn02iju6dexzfMsGiIxr0zcyXxtYuMuqe8PxosOwJDUQgIWH+C1jaEcis4Rd4PnDvdk3VODufD2eL6e4c9dfV3bpd2mrdBnP12dc9VSTOQy3ru7Fz8/3B9juZR9Udk8ufrCbfGZacCAgWpeGie05q4/n9qg27wtkUgkfH6fL1YmckJSC/n9eOtdR/XR2d6c13SbaZ/susQLY7phbSonPL2I3483bXzQ2coUMyMZal2W0axBndDq1kCtcacC+HYSjtEe9uYYy6WciM9jT0RWI7cSMDWS8dtjA+jtZk1eaRWPrzjH/AndkUkl7ArPapPxa6VaI96P3u296WIqVWoNfd1tmr3GEEqNIL+sivw6NlH0ayV9Li4I6w192PyCCd3ZG5nF+K+PsiM0A6kE5g735NCro5jer+7sqKs5EZ9Hcn65+PUHU3tzMfkKn+4WNrbfntSTSX1dWX4iQQhktzCmUqkhPqcUJysT3HXr48Fe9sxddZ7glEKsTeWsnhPIfQM6Nuv1aIywtEKeXxOEWqPlnn7uLLqqKKctWH48gRf/CaZKreGuPi6snjtIzMgy0D6Y6MdUb5HNPoMoZaBBfj5ymc3B6cikEn57bADT+zW9OepWw8PBgieGebJ6ziAuvDOBr2f4MaGXMyZyKUn5Qviwnhm/niYmq25bMAgLMAdLExLzyto1z+B6oq8oPhHfcndSR9EpJTij9ON7V1v6JRIJS+7pwxAve8qq1MxbdaHWwuLDab3xcrQgq7iSRa3IXbiUKYhd7ZEnpWdIV3tkUgkJuWWkXSlv/AYNoA8qzC6pJKlGZtmiiT3o4VIdRKnVanm3nYLNa6Jv3vNtY1FKq9Wy8UIqY5ceZc3ZFLRawb5/6LXRLJjQXQx5v558vjsatUbLWB+nBt1ZCpWaHw/FiYG1ICxOq9QavJ0smT++O3tfGcnRhaN5d0ovBt+gHL6WoM+vKmugRrslTOrryqrZgzA3lnE8Lo83NrdNlooBAwZuDoZ0tWeQpx1Vag3LrqNbys3WjHd143Rf74slrp5xrrbgiaEe9OtsS6lCxXcH43hXNz74zYHYJo3LSaUSsUAiKb+MD6f2IaBLB0oqVTy5+gLFlS3fDPB1twWgsELJM7pxysX/RVFe1bSsSytTIfeoi705qQUVfLrrEg8O7ATAe9siW52ZeTahgOJKFQ6WxvTv3AGtVss/54SCkIcCOzf7/syMZWIkQ83X/kpZFakF5aILqebJ+rcH4igsV2Iil7IjNJNF/4ZRVKGkt5s1254fzrtTejVrhLDm6OXE3s64dzDjtQ1C1MLsYR7MG+FFakE53x8UMr78O9myJzILiUQo99Hn0h6JySW1oILOduZsfm5Ym2cvJeaVMXvFecqr1Azv5sDn9/m26YafRqNlyX9RLNHlxD4+pAs/PtT/tjA33CpIb5GppltjJWzghhCZUSTONS+e1oexPs43+BldP2zMjLi3f0d+fyyAoHcn8NND/ZniW3u2euK3x5jyw3GWH08g56q5eitTI7F97/uDcW06d3+j0I8rhacVUlTessVRfeN7eaVV1yj5RjIpPz/cny725qRdqeDZv4NEB4W5sZzvH+yHsUzK/qhs/j6T3KLno3dK+bhc2yzS2jwpPdamRvjraoxPxLXOLaVvMEzKKxdt1iC0DdXk77MpbGyHYPOaFJUrSdLtAvZxaztRKjqrmBm/nmbhpjAKyqrwdrJk3VOD+X5WP3Hn8HpzNiGfPZFZSCXU2aqp1WoJSyvkvW0RDPr4oJjJAMLO9Itju7H3lZHsXzCKl8d708Ol7nHRmx2VWhCKjNtBRBvS1Z6fH+6PTCphc1C6eEJiwICB24OXdW6pf66jWwrggQEdGdNDyPp8dWNou2XXyaQSvrjPF2OZlEPRORjJpIzq7kiVSsOiTU0bH/TUjfAl5JZhLJfyyyMDcLUxJSG3jJf/CW7xCGJ3F0uMZVIKy5VM8XPDXdd83JxsTkcrE/6aE4ijlQnRWSVEZ5XgamNKemEFX1+VgdRc9kcJrq1xPs7IpBJOX84nMa8MSxM5U/2aHnBeEw97QeCLzy1l3bkU7vruOP0W72fEF4fFMVL9ujMuu4SVugxThUrDuaQCTI2kvDXJh23PD2u2Uysxr6xWUPmcYZ48tfoCVWoNd/Z24Z3JvYSWu20RVCo1dOxgxlndBMbzo7txPqn2NEb/zrZseW5ordD6tiC7uJJH/zhLflkVfdyt+eWR/k1ujGwKCpWal9eHiEU8b9zlwwdTe9/QbMz/JxQ6J6BJG/5O25Nb41kauO5otVo+3B6FSqPlzt4uzBrU6UY/pRuGhYmcyb6u/PhQf6IX38mQGq6ZiPRiluy8xOBPD/LI8rNsCU4TD3L39nPHv5MtZVVqMVvmVsbVxoyujhZotHA6oWVuKb0opR9rsjU3Emf7M4uuFe46WBjzx+MBWJnIOZdUwLtbI0QHRR93G17XCQSLd15qVqAoQG6JgrxSBRIJtVxGelqbJ1WTEbpw8eOtFaV0TqnvDsbVanesmYsQklrIR7qch9fvbNtg85qE60b3OnYwa5Pml1KFiiX/RTH5+xOcT7qCubGMtyb5sOvlEa1yqrUWjUbLx7uEHb5ZgzqLWRUgLOiWHb3MHd8cY+qPJ1l9OrnWaNuyRwZw+LXRvHpHjzrfY7ca+sDW9hClAEb3cOINXYju4v+iSC1onbPQgAEDNw9Du9ozyMOOKpWGb/c3rQGuLRDa+HyxNpUTllbEr20QHl4f3s5WvDi2GyBkYr52Rw8sTeQEpRSKokdD6As79Md3RysTfns0ABO5lMMxuXy5N6ZFz8tELsPHVTgGxWWX8p7OPfb7seY1RXe2N2fFEwMxN5ZxMfkKKp1ItuJkopgx2Vy0Wi0Hdfmr43sJm9//nBc2Jab5u7W4YbaLvSDwvb0lgjc2h4vOeCNZtSCy7nwqWq2Wx/48V+u2I7wd2PfKKJ4a2bVF678X1gaJ///JPX1ZsCGU4koVA7p04NsH/ZFJJeyJyOJwTC4SCRRXKClVCN8f0tVeFKhAaBde++Rg7Nu4TKaoQsnjf54j7UoFXezNWfHEoGY5wRqjuFLJE3+eZ4cu/uXrGX48M6rrLbkhd6ui0LVLGkQpA7c0py7ncy6pAGO5lPen9jJ8iOgwNZKxZl5grfGdAV06iPWt89eHMvDjA7y3LYKozGKWTO+DVAL/hWVypA3CKm80w8URvpaFdrtf5ZSSSCR0shMuq+8EtJuTFd8/1A+pBNZfSOXPk0ni9+YM8xB2QFUaXvon+JomlYbQi1ie9hZ1joNdSBIC3Qd6tr4OV58rdSI+r1Vhq85WdS9K9D93QVkVz68JQqkWxGR961F7EJQivD79OrcuaFyr1bIrPJNxS4+w/EQiao2Wu/q4cGCBsCC80c2e20LTCUsrwtJEzvwJ3VGqNeyJyOSJFecY8ulBPtsdTVxOKSZyKSO7O4q3e/MuH+7s43JbfXbq89usTNtvfHLucE8Ge9lRoVTz+Z76SyUMGLjdUWu0ZBZVcDG5gIOXstkRmsGG86msOZvMhgupbAlOY0doBvujsjmfVEB8Tgl5pYqbtsVSIpHw+l1CVs3Gi6ntOkp3NS42pnwwtTcglKQ0dxOrOTwzuis9Xa25Uq7k12OXeXOSILR/uTeahEayoTwdBCdMUn61UNS3ow1f3O8LwLKjl9kWkt6i56UvJAlLK+SOXs6Ci0utaXLouZ4+7jb8pHO15pYIsQoaLby5ObxF7724nFLSrlRgIpcyvJsDheVV7I0UnFOzBjV/dA+EdcWhS9VrbnsLY96Z3JOgdydw6aM7a7UF3/Xd8Vqbol/P8GP1nEF0tm+ZwzyrqJLIDOH9ZW0qZ83ZZNILK/B0sOD3xwIwNZJRqlDxgW7zUKuF4koV1qZylj7gx8PLz4r39dzorvzwYL82H3WrVKp5ctUForNKajng2ors4kpmLDvN6YR8LIxlrJg9kHv7t20OloHG0WemtaX7rT25/sEcBm4J9LXnMwM64WpjaEaoiVQq4ZN7+jL5++OoNFqeHOHFNzOs2RKczoYLqaQXVrD6dDKrTyfTx90aI5kUhUrDu9si2PfKqHbJ9rlejPB2ZNXpZI7E5KLVapt9wq0XpfLLqqioUmNmLKOznTmx2aWkNOCKGNPDibcm9WTJzkt8vDOKro4WjO7hhEQi4csH/Ljru+PEZpeyZGcUH9/Tt0nPRb9rpt89rIlWq+VCsrBTNcij9aKUX0cbrEzlFFUoCU8vEsf5mkvN13vecE+2h2aQU6KgvEqNWqPllfUh4uLnywfaPti8JnpRakBn2xbfR2ZRBe9ujeSALuC0i705H07tzegeTm3xFFtNRZWaL/YIO9PT/N1YeTKJDRdSySmpzjcL6NKB+wd0ZJKvK4t3CI7IHs5WzBnueUOec3uSqRtDdm3HMUqpVMJ7U3oz+Yfj/BeWyfNjiustIjBg4HYir1TBgahsLiRfITS1kIS8shZvYtiaG+FmY4Z7BzPcbc3o2MEMN1szPOwt8HK0uGF5LgO62DGxtzN7I7P5fE80yx8feN0e+55+7uwKz+LApWxe3RDKlueGtcvJmpFMypf3+zLtp5P8F5bJ3X5uDO/mwIn4PF7dGMqmZ4bWO76kH99LzK3tXprm786lzBKWHb3Mok1heDlYNnukzK+jLWvOphCWVoREIuH9u3sx8dtjHI3NZX9Uthgw3hTG9HBiyfQ+vFkjRiA8vYhVp5OZ28xj30GdeDS0qz1mxjI2XEilSqWhp6t1i6ITlGoNb28JJ6OG0HRgwahaju6FE7vz+r/Cc4+ukQ977q1xOFmbNvsxazL404Pi/3s7W3Ex+Qr2FsasnD0QO91z+HpfLNnFtQPY35nSi7u+Oy5+/cKYbmJ4fluiUgubuOeSCrAykbNqdssFuLqIzipm9orzZBZV4mBpwsrZA+nTzg3NBurmSrmwkdjBvPXTDNcDgyhl4BoqqtTs150kzhz4/zu21xA9XKx4epQXPx2+zAfbI9m/YCQvj/fmxbHdOHk5j3XnU9kfmU1EevVuXGpBBXNXnWfNvMBb1j0xtJs9xjIpaVcquJxb1uz5dmszOVYmckoUKtKulOPtbCXmHTU2qjN3uCex2SVsuJDGi2uD2fL8MLo5WeJgacLXM/x49I9zrDmbwghvR+7s0/jiKlrfvFdHrW9Sfjl5pVUYy6Vt0iwnl0kZ1tWBPZFZHI/NbZEopdFo+aqGdX/hnT1EMadSqeaHQ3Eci83F1EjKL4/0b1Mbdl3PJTilEID+DYR+N3T7NedS+Hx3NKUKFUYyCc+O7sZzo7veVOGXvx67LO6grjlbXe3sYGnMAwGdmBHQSRy3OBaby8aLaUgk8PE9fW64w6s90DscXVq5aG+MXm7WTOrjys7wTFafTubTe5smNBswcCtyMbmAHw/FczQ2l6s1KLlUgrO1KfaWxpgZyTA3liGXSVGpNag0WqpUGipVGorKqygoq6K4UgicLixXUliuJCrzWkeQRCKMXXdztKSroyXdnCzxdrbEx8W6xaNSzWHRnT4cuJTDgUs5nEssYFAbuJGbgkQi4ZN7+3DhmwIiM4r54VAcr97R9if9ILiJnhzhxbKjl3l3awSr5gxixrLTBKcU8tuxBJ4d3bXO2+mdUhlFleLGnZ6FE3sQk1XM4ZhcnvrrAtteGIaTVdM/i/VrmbC0QtQaLV6Oljw5woufj1zmo/+iGNndsVnH31mDOpN+pYIfa+RSLd0Xw519XJqV/3goWljHjO0pjO6t143uzQzo2Oy1skKl5sW1weyLqm4EtDEzqiVIabVaNumadGsS9sEdrW6/3R9Vu4nwYvIVTI2k/PHEQLroMq4i0otYeap2AdJYHyf+PJEoRjE4W5u0iyCl1Wp5Z2sE+6KyMZZL+f3xAHq1IjP1ao7F5vLcmiBKFSq8HC1YNXtQu2SaGmgcjUZLnq4gqi1dcO2JQZQycA3BKVeoUmlwtTFtVcDz7c6LY73ZGZZJUn45S/fF8sHU3kilEkZ4OzLC25GCsiq2BKez/nwKsdmCZfvU5Xx83t3Dkul9uNvP7aY6AW8K5sZyAr3sOB6Xx5GYnGaLUhKJhC4O5kSkF5OcL4hSnXUHrIacUvrbLp7eh8S8Ms4nXWHeqvNsfX4YtubGjPB25OlRXvx6NIHX/w3Dt6ONmF9VH1GiU+ra97g+ZNKvow0m8rb5HQ331olScXm8qAt8bQ6rTydRUqPhxlgmFd8/eyKy+EPX8vjJPX3xqUNoa0sS8sooqlBiaiRttoslPqeUNzeHcT5JP/5ny+f3+dbKarrR5BRX8s2B2GvCtod1s+ehQV2Y0Mu51g57qUIl7hg/PsSDgDZw17Unao2WUoUKhUpw2NX8ZywX3lcmcikmcpn4c2o0WmJ1O8ptHbZaF48O6cLO8Ex2hGbw4dTet4z93ICBplKmUPHhjkg2XKg+QfbtaMOo7o74d7Kll5s1TlamzQoFVqk1FFUoyS1VkFFYQfqVCtIKK8gorCTtSjmJeWUUlitJLaggtaCCwzHVo/gSiZBp1NvNht5u1vTR/bctMgNr0tXRkhkBnfjnXAqf7LrElueGXreNOicrUz6e3pfn1wbx0+F4RvdwZECX9vm8fmW8N/sis0jQtTC/d3cvFm4K45v9sYzxcazzON3B3AhbcyMKy5Vczi2t5TCRSSV8N6sf0386SUJuGc/+HcTaJwObvEbp7myFpYmcUoWKmKwSerlZ88LYbmwNTiftSgW/HLnM/Andm/UzvnpHd9ILK9gSLIwUllepeX9bBL8/FtCk3+mVsiouJgtrgbE+TkSkFxGVWYyxTMo0/+a1fVcq1Tz110WOxeZiLJey9AE/XvwnmKIKJUXlSmzMjSgqV/L6v9XrDz2f3du31YJUfqmCJ1dfqHWZvmxGvxGpUmt4Y3PYNeJzUMoVCmsUCG14ekirnkt9LN0Xy7rzqUgl8P2D/m2a17n+fApvbYlArdES6GnHr48OwPYWcejcjhRVKFHqymnsLW+N34NBlDJwDaFpQljhgC4dbllHz/XA1EjGkul9eeSPs6w6ncRkX1cG1jgZtbMwZu5wT+YM8yA4tZB7fz4FCM0eCzeF8fGuS8wM6MQjg7vcUjsJo7o76kSpXOaNaH5mURc7CyLSi8XMhKaKUiCEdf7yyACm/XiSpPxynl8bxMrZgzCSSXl1Qg/OXM4nNK2IV9aF8M9Tg+tdzKvUGhJ09vi6mvcu6ESpthQXRupypYJSrlCqEFr9mkp8Timf7q6dr1NcoRJ3UfXNJg8Hdr4uc/tBukWkr7ttkx1BVSoNvx69zA+H4qlSazA3lrFoYg8eHeJx0zSxhKQWsvJkIjvDM8WDOcBTI72YNaiz6Iq6ms92XyK9sIJOdmYsurN9dt4bQ6PRkllcSUp+OTkllWQXV5JTrCC7REF2cSWF5VWUVKooqVRR2oz6bjMjGXYWxpRUKinTZZcdis4hKb8MLwcLPB0sWl0EUBeDPOxwsDQhr1TBucSCdgvsN2DgRlBRpeaJFec4n3QFiUSISnh6VNd6P2Oailwmxd7SBHtLkzpFD61WS35ZFZdzSonPLSU+p5TLuWXEZBWTXawgIbeMhNwydoRmiLdxszHFr5Mt/Tt3oH8XW3q72bR6Q23+eG+2haQTklrIluD065o3M9nXlQOX3NkSnM789aHsfnlEuzjETI1kfH6/LzN+Pc2GC2nc7efG+J5OHLiUU+/4oEQiobuzFecSC4jNLrlm7Mna1IjljwUw7aeTXEy+wvvbIvn03r5NWqvLpBL6dbbleFweF5ML6OVmjbmxnHem9OK5NUH8cvQy9/Xv2KxRLolEwuf3+ZJVVCkW4By4lMO+qGwmNmEc8EhsDhqtsA5ztzXj16NCK94dvZ2bJYYq1RqeXxPEsdhczI1l/P5YAMO6OfDB9kjyy6pIL6wgLqeEl9eFiEU7NZl0Vbt2c9Fqtby9JeKayz+c1kcMbwf482RirQkKPTUFqRkBHUVXVVuy8mSi6GpbMr0vd/Zp3c+sR6PRsnR/DD8dFn530/3d+Px+3zbb0DXQMrJLBJe/jZnRLfO7MIhSBq4h9YogDrR2cfT/wHBvB+4f0JFNF9NYuDGU3S+PvCYzSiKR0L9zB069MZahnx0SLy8sV/LrsQR+O57AmB5OPDakC6O6O970QuAYHyeW7LzEucQCyhSqZi/m9I0oyfnltb5OyS9vUk6Vg6UJfzwRwH0/n+JkfD4f7Yhi8fQ+GMulfD+rH5O+O865JGEc4uXxdTuSkgvKqVJrMDOS1Wkzv6ATXQZ6tC7Euyad7c3pYm9Ocn45Zy7n11qoNIRSrWHBhhAUKg0jvB0ITimkVKEir6x2HoFvRxuxUae90edJNXV0LyS1kNc3hRGjC7Yd3cORj+/p2yyLf3tRpdKwOyKTFSeTCEktvOb7W54b2mCY++nL+fx9Rhjt+/xe3zpD89uS4kolMVklxGSVkJRXRlJ+Ocn5ZcJ7WtW8kFmJRBgPkkklyKVSJBLh9VDUuJ8KpfqaRXzNAHK9W66Pmw2DPO0Y0tW+VohsS5FKJYz0dmBzcDrnkwyilIHbi6/2xXA+6QpWpnJ+fyzgujWMSiQSHCxNcLA0IfCqx8wrVRCZUSy4VTKKicwoIim/nIyiSjKKstgdIYRPG8uk9HKzFkWq/p07NOpMvhona1NeGNuNL/bE8OnuaCb0cm7XkfOr+XBab84lFpBSUM7i/6L47D7fdnmcgR52PDa4C6tOJ/Pm5nDWzAvkQvIVIjOK+fFwPAvqcCb5uAiiVExW3UHwXo6W/DCrH3NWnmfd+VR6uVnz2BCPJj2fAV06cDwujwvJV3hUd5u7+rgwrJu9sJ76L7LZOV/GcinLHh3Afb+cIj5HmAp4e0s4I70dG81Q1edJjevpRKVSzVad46o50SEajZbXNoZyMDoHE7mUFU8MFN/bTtam5JdV8cGOSC4mX0Gt0dLF3pzebtbsCs8S76OgtKpVTqmtIensicyqddkzo7ry6OAu4tfJ+WV8vT+2wfsxkkl4cWzznfSNsSM0gw91LeALJnTnocCWBchfTaVSzcJNYaKI/dLYbsyf0P2mP4/5fyBJ16rp0YZ5Ye2NQZQycA35uhlUp1tkBvVG8+6UXpyIyyMpv5wv98bUKwy42ZrxzmQhrNvSRM6bk3zYEyGMcx2KzuFQdA7eTpbMG+HJNH/3m3a0z8vBgk52ZqQWVHC6GeKKHlGU0jmjOnYQvi5RqCgsVzZpd8zHxZpvH+zHU39d4K8zyfi4WvFwYBe62Fuw5J4+zF8fyncHYxnWzb5Ot1Ocbpyym5Ml0qtcOvmlCtFF1b+VzXJXM8LbgeT8FI7H5Tb5dfvxUDxhaUXYmBnx5f1+PPjbaUoVKvJLq8RcJ4CfHup/3XZDRFGqkZBzhUrNtwfi+PXoZTRawT34/t29mOrndsMXLXmlCtaeTeHvM8licLmxTMrEPi7iAuvxIV0aFKTKq1S8/m8YAA8FdmZot7YTTrRaLcn55URmFBOdVcylzBKis4pJu3LtLq8euVRCxw5muNiY4mwt/HOyMsHJ2hR7C2OsTOVYmRrp/iuv9/2i1WpRqDQolMIoUF6ZgqdWXyCvVAjNnOLrSkpBOZdzSimrUhOcUkhwSiF/nUkGhJOqCb2cmdTXFR8Xqxb/rnu727A5OL3ekzMDBm5FrpRV8ddp4W/l+1n9rpsg1RgOliaM6u7IqBotosWVSiLTiwlJLSQo5QrBKVfIK60iJLWQkNRC/jwpXM/F2pQAjw4EetkzxMuOro6Wjf7dzx3uycYLaSTmlfHDoXjemtSzPX+8WlibGvHVA348tPwM686nMq6nMxOauZZpKvoMrbQrFaw4mcSS6X14YW0wPx2OZ3xPJ3w72ta6fg+dezu6gc+90T2ceP1OHz7dHc2HO6Lo5mTJ0K6NH38CdKOKF2qMr0kkEj6c2ps7vz3OgUs5HIrOZqxP814LGzMj/ng8gDu+OYZCpSGvtIofDsWx6E6fem+jVGs4GiuMj471cWZvZBbFlSrcbc0Y1oSfBYRj1Yc7ItkWkoFcKmHZIwNqia0WOlHsXKLgfp/u78bi6X3o+8G+WvdzpbwKD1q2EZ9eWMF72yJrXTbVz41FNTKhtFotb20JF9vQanK3nxspBeWEphYyI6BTm09OHI/LZcGGELRaeGxIF14c261N7vdKWRVP/XWB80lXkEslfHpvXx4IMOQQ3yxc1p3HdHVs/7iFtsIgShm4Bn3biyHDo2nYmBnx6X19mb3iPCtOJXJnH5d6gzufGOrBjtAMQtOKOBydw+o5g0jMK+OvM8lsvJBGXE4pr/8bzpd7Y3h0sAePDO6MfRu4DtoSiUTC6O5O/HUmmcMxOS0QpYQDf7JufM/USIaztQnZxQpSCsqbbNme0MuZ1+7owZd7Y/hgeyQ9nK0I8LDjnn4dOR6bx+bgdF5ZH8Lul0dcswMbnyMs9rydr/2w1rukujtbtvk8/PBujvx9JoXj8XlNun5IaqFot148vQ8uNqbYW5qQlF/OHycSxOtN6uty3UZAiyuVxOl2QxtySoWnFfHqxhAxT22avxvv391bbJ+5UVzOLeX3YwlsDk4XnUWOViY8EtiFhwI7izXr9hbGLGgkBPfLvTGkFJTjZmPKm3fVv/huCoXl1Sd6IamFhKYWcqWGpb8mbjam9HCxwsvREg97c7rYW+Bhb4GbrWmbjNJJJBJMjWSYGsmwMTeik50Zxrr7XTl7oNiOqNFoScovIyKjmJCUQk5dziM6q0T898OheLo6WjBrUGfuH9Cx2X9P+uyqxLyyRq5pwMCtw6nL+VSpNfRwtmLMTdI0Wh/WpkYM6WrPkK7Cib5WqyW1oIKglCviv0uZJWQVV/JfWCb/hWUCQhlEoKc9gV52DPayx9vpWpHKRC7jvSm9mL3yPH+eSGRGQKfrklenZ0hXe54c4cVvxxJ4498w/DuNbJdAYAsTOZ/e25fH/jzHqtNJTPF1ZYqvK/+FZbJgQyj/vTi81iZkD12+YmNi/FMjvbiUWczWkAyeXxPE9heGN7oO8O9si1QiCClZRZW42AhB6d2crJg73JNfjyXw4Y4ohnVzaPYmVxd7C1bOHsSs388A8PORy9w/oCNe9ZwUX0i6QkmlCjsLY/w72fKNzkV0/4CO12wW1sefJ5NYdToZiQSWzvBjjE/131Ncdom4ngP49N6+PDiwE3sjs6+5n5ZunGg0Wl7dEEJJZfVIvEQCXz7gW+tn+DconZPx+dfc/plRXRna1Z7H/jyHsVzKC20kGOkJSyvkmb8uolRrmezryvt3926TDcGkvDJmrzxPYl4ZViZylj06gGFtuClnoPVc1q3Tu17Hz9TWYhClDFyDVPeBVaVuWRXx/yNjejgxM6AT6y+ksnCTkFFQ1xiPXCbli/v9mPKDsCO1PTSDaf7uvH93b+ZP6M76c6msOJlIRpEQtPzzkXju7d+RucM9r+tirTHG+Djy15lkjsTkNmnkriYeOlEq/UoFSrUGI5mUznbmoijl14xmuudGdyUqo5id4Zk8uyaI/14cjrO1qWDNTyog7UoFH2yPYukMv1q304sq3k7XJ09KzxAveyQSSMgtI7u4EucGWswqqtQsWB+CWqPlbj83pvq5AWCvE3VqLqyGNHFXsS0ISSlEqxWywOoa06pSafjxUBw/HbmMWqPFwdJYl1/Q9Lrp9uBCUgHLjiaIjYUAfp1smTPMg7v6uGIsl5JVVMm3B+IAeOMuH2zM6rfzn4zPY8XJJAA+ubdvs0dPsooqOZuYz5mEfM4mFojuvJoYy6T0dLWip6s1Pi76/1pjY379xlxAyDTLKKrEWCYl0LN6F1oqleDlaImXo6X4/swrVXA8Lpdd4Vkcjc3lcm4ZS3Ze4su9Mdw3oCPPj+nW5LHNDrqfs7iybnHOgIFbkcwiwe3YvY48w5sdiURCZ3tzOtubM72fEERdUaUmNK2QswkFnE3M52Ky4KbaGZ7JznBBpLKzMGaQhx2DvewY3NWeHs6Cg3KMjxPjfJw4GJ3DhzsiWT1n0HV10b56R3eOxeYSnVXCm5vDmhzQ3VxGdncUox4WbQpj7ZODOZtYQHxOKUv3xfD25GqHvf59kVVcKQZ014VEIuGz+3xJyCsjLK2IJ1df4N9nhzYYqWBpIsfHxZqozGIuJBcwxddN/N6L47zZEpxOcn45f5xI5LnRzRdIhnS155N7+vLWFqH4Y+zSoyR+OqnO11Tfuje6hyMZhRWciM9DIhFEqaZw8FI2S3YKI2lv3dWzVjD6nohMXt0QKn7dx92aWYM6o1Cp+WTXpWvuS9bC3/nyEwmcSSiodVnIu3fUEvRySxQs1o3O1WTx9D48EtiZe3R5sw8HdsbVpu0iDRLzypi94jxlVWqGdbPn6xl+bZLfeTH5Ck+uvkBBWRXutmasmD3wpiqqMSCgP8/xuoWieAyilIFr0DtzCnSjGgaaxttTenIsLpfk/HK+2BPDB1N713m9Hi5WvDjWm6/3x/LB9kiGdXPAwdIEa1MjnhzpxexhHuyKyGL58QTC0or451wK/5xLYayPE0+P9GKQp90NH30a4uWAsVxKemEFl3NL6VaHuFMfTlYmmMilKFQaMgor6GJvQSc7c84nXWlS2HlNJBIJX9zvy+XcUqKzSnj6r4usf3owVqZGfDPTn5m/nubfoDTG9XRiUt/qUEe9e8e7DqFP38rSlnlSemzMjejtZk1EejFnEvIbbJf5bPclEvLKcLY2YfG06vdSXWOdymZmCbUGfVPOgDpcUpEZRby6IVQcO5ji68pH0/rcMHeUWqNlf1Q2vx27TFCNUcfxPZ15epQXAVeVOXy86xLlVWr6d7blvgaCd4vKlby2UVjwPhTYWXQONURmkTDuejahgDOJ+WKmWk087M3x72SLfydb+nXuQE9X65vCsaofZxzu7dBoRoiDpQn39OvIPf06UlKp5L+wTFafTuZSZjFrz6aw6UIaDwV2Zv747o2Ka/oygNLKpgezGzBws2Oi+5uu0BUH3OqYGcsY7GWvG0P0RqFSE5ZWxJnLguB+IbmAgrIq9kRmibk7jlYmDO/mwAhvB54Z3ZXjcXkcj8tjR1imKHBfD0zkMr6Z6c+0H09y4FIO686nMmtQ2+TtXM27k3txLDaXhLwy/jiRwGf39mXuqgssP5HIhF7VDntrUyPcbc1IL6wgOqv4muyvmpgayfj10QHc/cNJorNKeG1jKD891L9Bp9EgTzuiMoU1SE1RSh8rMX99KD8eiue+/h0b3Dirj4cCO7M/Kktsdly6L5bXJl7rOj4YrcuT8nFm00WhgXJYV4cmub6jMop58Z9gtFqYNagT80Z4AoKT79djCXx2VTGMi7Ug9vx5IqnOdWZLHHKXMov5ZFftx3lrks81x7WP/ouiqKL2xsofjwcwrqczh6KzCUktxNRIyrOjuzb7OdRHdnElj/5xlvyyKvq4W/ProwFtEu+wMyyT+RtCqFJp6Otuwx9PBOBk1fz3iIH2pVKpJjpLCNS/uizhZubGr3abyU8//YSHhwempqYEBgZy7ty5Bq+/ceNGfHx8MDU1pW/fvuzatavW97VaLe+99x6urq6YmZkxfvx44uLial3Hw8MDiURS699nn33W5j/bzYKL7iCkDzw30DSsTY3EsMyVp5I4fflaq66eZ0d3paerNVfKlby/vfYsulwmZaqfG9ueH8bGZ4ZwRy9nJBKh8Wrmb2e4f9lpDkVno9XeOCebfhEKcDg6t5Fr10YqlVwbdm4nKPkpdZyoN4aFiZxfHx2AjZkRIamFvLc1Eq1Wy0APO/Eg/9aWcLKKhCYKtUbL5VydKHXV+F5FlZqIdKF9MqCdaqKH6F63ht4fx+NyWaXLHPnyfj9x7Emr1bK9RivSWJ1VvUp9/USpuvKklGoN3x+MY9qPwsLYzsKYnx7qz48P9b8hglSlUs2as8mM//ooz/x9kaCUQoxlUh4c2IkDC0ax/PEABnrUFnePxeayIzQDqQQ+mtanwUX9u9siyCyqxMPenHcm152DUqlUczQ2l8X/RTHh66MM+fQQCzaEsv5CKsn55Ugl0NfdhnnDPVn+WADB707gyMIxfPtgP54Y5olfJ9ubQpCq+Z6b5t+8k0UrUyNmDerMrpeGs+6pwQzxsqdKrWHlqSTGfX2EbSHpDX6O6d/XN8PrYMBAW6HfxIlIL7qhx/H2wkQuY6CHHS+O8+bveYGEvT+Rf58dwsKJPRjh7YCpkZTcEgVbgtNZsCGUB5adFv/WX/onmIw62tHak56u1rw2UQgcX/xflBgQ3NbYmBvx6b19AaEx19bciBkBHdFq4bWNoZTVaEXV50rFZjeep+dqY8avj/bHWCZld0QWPxyKb/D6+lHMutYg0/3d6d/ZlvIqNZ9fJew0h98fCxD//8fD8aReJQQl5Qktj3KphOHeDqIo9UBA4y6pvFIF81adp1znAPpoWh8kEgkqtYZ3tkaIgtQTQz34flY/AIoqqsgtUfCTLg7hmVHVApBcKmm2KFWpVPPyuuBrLp8zzLPW1wcvZddqsgTY9vwwxvV0RqvVisHnjw/xaDNxp6hCyeN/niPtSgUe9uasnD2oWW3PdaHVavn16GWeXxtElUrD+J5OrH96sEGQukmJzChGqdZib2FMxw43vlCoqdxSK73169ezYMEC3n//fYKCgvDz82PixInk5OTUef1Tp04xa9Ys5s6dS3BwMNOnT2f69OlERFTXdn7xxRd8//33LFu2jLNnz2JhYcHEiROprKysdV8fffQRmZmZ4r8XX3yxXX/WG4mPq3AwjMq4trbUQMOM6u4o7rIt2BBCUT2ZMEYyKV/e74tMKmFnWCZ7IjKvuY5EImGghx2/PRbA4VdH83BgZ4zlUi4mX2HOygvc9d1xtodmiBlg15vRujDUwzF1//01xNW5Up3thQ/N5jqlat7fD7P6IZXA+gup/H1WaEN7eVx3+rrbUFiuZOGmUDQaLam6ljJTI6kYsq4nJLUQlUaLi7Vpu32QiwvChLpFqaJyJQs3CuHZjw3pwsgaobPrz6eK/+9ibYqztbCQul5OKZVaI4ar6/Ok4nNKuPfnU3y9PxaVRsudvV3YN38kk1tZsdwSShUqfj16meGfH+btLREk5pVhbSrn+TFdOfHGGD67z7fOMdjyKhVvbxXGDR4b4tHgztK2kHS2h2Ygk0r4Zqa/OKar1WqJyy5h+fEEHv3jLH4f7uPxP8/xx4lE4nJKkUrAr6MNT4/04s8nAgh5/w52vDicd6b0Ynyv5tVfX09C04QGLlMjKeN7tiwIWCKRMNjLnn+eGsyaeYF0dbQgr7SKl9eF8OqG2idjNSlTCE6SxtxZBgzcSvh3ssXcWEZWcaUo8t/OGMulDOhix/NjuvHX3EBC3ruDtfMCeXZ0V/q4W3O18XvoZ4eY9dsZfjocT3haEZrrsMaZN9yLwV52lFepmb8hBFU7bfSM6+nMff31QlQYr03sgbutGSkF5SzZWT1W1pSw85oM6GLHkul9APjmQGyda0o9gz2FGIHLuWXkFNc+15FIJHwwtTcSCWwOThed0c1FLpNy7q1x4tcjvjhca616LE7YzAzw6EBURjHphRVYmcqZ2LvhMX+VWsOLa4PJKKrEy8GCnx8agJFMSqlCxbzVF1hzNgWJBN6b0osPpvYW4w6KK1R8vT+WUoUK3442zKghfnV3tmr2WNtXe2NEx72exdN618p0LFWomLvqQq3r7HpphBhRsTcym4j0YiyMZTw9qm1cUpVKNU+uukB0VgmOVib8NTew1W24SrWGt7ZE8GkNse/XRwPavWnYQMvRN0n7d7K94ZM1zeGWEqW+/vprnnzySWbPnk2vXr1YtmwZ5ubm/Pnnn3Ve/7vvvuPOO+9k4cKF9OzZk8WLF9O/f39+/PFHQDiJ+Pbbb3nnnXeYNm0avr6+rF69moyMDLZu3VrrvqysrHBxcRH/WVjcOjOazaW3mzUAcTklt429/HryzuSeeDpYkFlUyVtbwuvdCe3jbsOzugPRO1sjKSyvf1zSw8GCj+/py4lFY3h6pBcWxjKis0p46Z9gxi49wj/nUlCoru/vSu/SOZdYcI01uTG66OzZSTpnVGfd1y0VpUDIbNA3vXy4PZLzSQUYy6V8M9MfUyMpx+PyWHkqSdx57Opoec1CRJ8nNcCjQ7t9kA/0sEMmlZCcX056HTvC726LIKtYWHC9eVe1C+dSZnEtV10Xe3MxfPp6OaUuZZZQqlBhbSrkUqw+ncTk708Qni60A373oD+/PNK/1Yug5lJUruS7A3EM//wQn+6OJq9UgbutGe9O6cWpN8excKJPgzt63+yPJbWgAjcb0zrHDPRkFFbw7lZhU+OFMd3o627DmYR8Fv8XxeivjjDhm2Ms2XmJ43F5KFQaXKxNmRHQkZ8e6k/QuxPY9sJw3pzUk7E+zq2qn76e6FvC7uzt0mBWSVMZ1s2B3S+PZP747kh1Jz73/HyyTneEPnunJSMkBgzcrJgZy7irjyDaLz+eeIOfzfXH1EjG0G4OvH6nD/+9OIKL70zgh1n9ao3Tn07I58u9Mdz94wkGLNnPS/8EsyU4TWyHbmukUglfPeCHlYmc4JRCfj5yuV0eB+C9u3vhbG1CYl4Zvx5N4Mv7BYf9P+dSOBAl5Cz56ESpqMymbw7PGNiJJ4Z6ADB/fSiRGUV1Xs/G3IhersI6v67NMd+Otjygy3X6cEdki0VBJ2tT3qhRAPL8miDx/4/pWvdGdndka3A6IIz7N9Y6/eXeGE4n5GNuLIwt2pgbkVNcyYxlpzkSk4upkZRljwxgznDBsaQ/zsZkl7D+vLBZ+c7kXpjUeJx+jbQIX82p+DyWn6j9d2tnYcz9A2o3zw3//FCtr9c+GUgv3fmVRqMVg91nD/NsE0e5Sq3hpX+COZdUgJWJnFWzB7W6AKeoXHBd/XNOEPve1Yl9bZFNZaD90J/LNPe9faO5ZUSpqqoqLl68yPjx48XLpFIp48eP5/Tp03Xe5vTp07WuDzBx4kTx+omJiWRlZdW6jo2NDYGBgdfc52effYa9vT39+vXjyy+/RKWqP+NCoVBQXFxc69+thLutGe62ZijVWk4nNK0lzEA1FiZyvp3pj1wqYWd4Jv8Gpdd73RfHdaObkyV5pQo+uGqMry6crE15c1JPTr0xjgUTutPB3Ijk/HLe3BzOyC8Os/x4Qr2ug7bGw8GCbk6WqDRasda3qXTRBe/pbfL6A2dmUYXYiNYSnh7pxRRfV1QaLc/+HURmUQXdnCx5W1c1/dmeaHbpglfrzJPS7QoObKBVrrVYmRrRV+fEudo+vyM0Q3ThfD3TX3SIlClUPL82CIVKI+aR5JdVYXSdRamzicLz7WJvwZyV53lvWyQKlYaR3R3ZN38k0/zdr+uuTF6pgs/3RDPs80N8cyCWwnIlng4WfHG/L0cWjmbucM9GbevhaUX8oVtgLrmnT73X12i0LNwUSrEu3ygxr4yAjw/w4G9n+ONEIsn55RjLpYzwduCdyT3ZN38kp98cyxf3+zHZ17XNmxyvB/mlCnaECaMHj+lOdtoCY7mUl8d7s+6pIThZmRCbXcp9v5wSx2r1iOO99tenWdKAgevFM6O8kEhgd0SWuKv9/4qdhTF3+7mxf8EoHhvSRbx8hLcDliZyrpQr2R6awfz1oQR8fIDpP53kuwNxhKUVtqmLqmMHcz6aLuQ3fncwjuB2crHZmBnx2b2CEPXnyUSM5FKe1GUivf5vGLklCnGNEJVR3CzX1juTezLC24EKnWMmt6RuEU8fI3CmHsf2wok+WJnICUsrEkfrWkLNMbk9kVkciMqmSqUR1z6Bnnbimmx6AxmbALvCM/n1mNA6/OX9fng7W5FeWMGMX08TlVmMg6Ux654aUsttZW1WfTzXaIWm4kGedhjVEFXqa8uui6JyJQ8tP3vN5Y8P8RDXa1qtlnmrzlNYY1Ji8bTeDK1RSLMzPJOY7BKsTOU8OcKryY9fHxqNljc2h7MvKhtjuZTfHw8QBbCWkphXxj0/n+TU5XwsjGX8/mgAc4d7Nn5DAzcUtUbLSV3D99BbrBHxlhGl8vLyUKvVODvXHh9wdnYmKyurzttkZWU1eH39fxu7z5deeol169Zx+PBhnn76aT755BMWLVpU73P99NNPsbGxEf916tSp3uvejEgkEkb30I1mNTMvyICAXydb5k8QMgre3xYhjqldjYlcxpf3+yKVwNaQDPHg3Bg25ka8NM6bk2+M5d0pvXCxNiW7WMGSnZcY9vkhfjgYR8l1aKya0Ev429kfdW3FbkN01YlSCTpRytHSBAtjGRpt69xS+uBzHxcr8koVPPN3EJVKNY8M7sLoHo5UqTRsDRFOsr2vagvRaLTiInRAO+VJ6akr0yGnpJJ3t1W7cPx1Fm+tVsu7WyNIyC3DxdqUlbMHAYJgoM/aaY2Q1xzOJgq7L+HpRRyNzcVELuXDqb1ZNXvgdXWzZBZV8OGOSIZ/fohfjlymVKGih7MV38/qx4EFo5gR0EkU7BpCpdbwxuYwNFphl3asT93jaUUVSiZ9f7xWpfP20AwKy5XYmhtxb393lj3Sn+B3J/DX3EDmjfCiu65d6lZm3flUqlQafDva0K8ZrZhNZZCnHZufG4qXo+AsfXT5WdEdBdUj5F3rqRQ3YOBWxdvZinv7CW6UN/4Nu26f4Tc7i+70wdVGOJb4uFgR/N4ENj4zhOfHdKWXqzVarTCa8s2BWKb+eJJBnxzg1Q2h/BeWUW9cQnOY7u/OFF9X1BotL68LobSdNvnG+DjxwABhjG/hxlBeGOONj4sV+WVVLNoUShd7C6xM5ChUGrFFqynIZVJ+nNUfLwcLMooqefqvC3W66BvKlQIh+Pulcd4AfLE3ulUNqIdfGy3+/7zVF9ganE5ZlRp7C2MyCispUahwtzVjYAONx/E5JSzUlYs8NdKLyb6uJOaVMWPZaZLyy3G3NePfZ4eK6yY9NVtxZVIJb9wpbFAm1cgvbUpRiZ57fj4p/r++HdbMSCaKqWqNltf/DePApepYi3v7ufPI4GqxVanWiFlS84Z7tbpNV6vV8smuS2y6mIZMKuHHWf3EzNeWcvpyPtN/OklCXhnutmZsenYo43u1bHzfwPUlLK2Q4kphosH3Fgo5h1tIlLqRLFiwgNGjR+Pr68szzzzD0qVL+eGHH1Ao6t6BePPNNykqKhL/paam1nm9mxl9dsiu8EzDYqmFPDOqK4M87SirUvPK+vozCvp17iBW7769JfyaGf+GMDeWM3e4J0cXjeaze/viYW9OYbmSpftjGf75YX481L7ilP59ciQmp1nvk646l1JyfhkKlRqJRIKnoyBUJbYyZNTcWM5vjwZgY2ZEaGqhOG71xf2+tSzSVzulEvLKKKlUYSKXirlq7UXNXUqtVotWq+XtLREUlivp427NC2Orq5g3Xkxjc3A6MqmE72f1o7sunP1KuRKpTvRQXgenVHGlspb42MvVmv9eHM7jQz2um/iSXljBW1vCGfXFEVacTKJSKQgmvz06gN0vj2Cqn1uzbOV/nEgkMqMYGzMj3r+7dltmcaWSzUFpzF15Hr8P99XK9uhib8684Z6se2owF94ez9cz/Lmzj2ubjLfdLFRUqVlxUnCQPT6k/X7HHTuYs/HpIXg5CidRs1ecp1KpRqvVck5nQQ9oR+eiAQM3ircn98TewpjorBLxJPX/HUsTuZiNtPxEIsEphQz0sGPhRB92vTyCM2+O4/P7+nJnbxcsTeTklVbxb1AaL6wNpv+S/cxYdpqfj8RzKbO4RSHyEomEj+/pK+Y8vbc1ovEbtZB3dBuKSfnlfHcwju8e7IexXMrhmFzWnkuht7vgdAlPr3sMrz5szI1Y/ngA1qZyglIKeXPztTESAz3tkEoEcaauGAGAx4d64KXL//vhYFyd12kKng4W4lghwKJ/hczMEd4ObAsRJgmm93Ort1ykvErFM38HUValZoiXPYsm9iA+p4QZv54mvbACLwcLNj4zRMwqrYmsxnHrkcDOdNa5bvdFVhsPbMyaJgr9dDhe3EjVRxgAzBzYiQ4WxlQq1Ty/JogNF6qdZc7WJnx8T99ax8/151NJzCvDwdKYuSNa7zz6+chlcZzw8/t8uaORXK7GWH8+hUf/OEtRhRL/TrZseX4oPV1b57oycP04Hie4pIZ1c6iVcXYrcMs8WwcHB2QyGdnZtR0Z2dnZuLjU/Qfo4uLS4PX1/23OfQIEBgaiUqlISkqq8/smJiZYW1vX+nerMcLbAUcrE/LLqjgU3fwgawPCrszXM/ywMhUyChpqRHlpnDe93YQ2vjfqWEA0holcxoODOnPw1dF896A/XR0tKKpQ8tW+WEZ8cZifDse3izjl38kWB0tjSipVnNedQDYFJysTrEzkaLTVIzqeDoLYkpjX9F3B+uhsb86PDwnB5xsvpvHXmWScrEz55J6+4nXyy2pneOldUr4dbZrksmkNAR4dMJJJSC+sIKWgnO2hGeyPysZIJuRa6B8/NruE93TuqQUTujPI0w5bc2P0azf9Lq5S1b5BsBeTC/D9YJ/49ZMjPNn6/LBr3GbtRWZRBe9sDWf0l4dZezaFKrWGQR52rJ4ziG3PD+OO3i4NtuXVRUp+Od8cEE4E357UE0crE0oqlWwJTmPeqvMELD7Agg2hYm21nr2vjOTIa6N5Z0ovBnvZ33IH/aay5mwyeaVVdLIzY2ozW/eai72lCavnDMLBUjhB/3jnJRLyysgtUWAsk4rBsAYM3E7YWRizWCfALDt6mT0Rdbv+/98Y19NZbKV7dWNtt5KLjSkzB3Zm2aMDCHp3AmufDOSpkV54O1mi1ghC9hd7Yrjru+MM+fQQb28J53BMDpXKpmdu6vMR9Zl3+syjtsbGzIhP7xPWJCtOJVJUoeQNXS7mxzujsNAFSYenNU+UAvBytOSnh/sjk0rYHJTOb7qxNz3Wpkb06yyI/Udj6p6IMJZLeW9KL+H5nUy6Zry6OSy4o/s1l/Vxt+GI7rHv6Vf/6N4H2yOJzynFycqEHx7qR9qVCh76/Sy5JQp8XKxY//QQ3GzrLqbZcKHaFPCUbpRQq9WyucbvtCnr7ciMIr7cGyN+/fPDAzidkI9MKmHucE+KypU8+sdZ9kTW/hte++TgWkUdZQoV3x4QBL6Xxnm3uhXv7zPJ4vN6Z3JP7h/QeHthfag1Wj7ddYnX/w1HpdEyxdeVdU8ZGvZuNfSbxzVLkm4VbpnVtLGxMQMGDODgwYPiZRqNhoMHDzJkyJA6bzNkyJBa1wfYv3+/eH1PT09cXFxqXae4uJizZ8/We58AISEhSKVSnJyabvm81ZDLpNzXX/hwW3M2+QY/m1uXjh3M+VgnhPxwKI5ziXULN/pAbmO5lEPROaw73zJ3nUwqYZq/O/vmj+K7B/3xcrSgsFzJl3tjRHGqLe3oMqmEcT7NH+GTSCR46ZxKl3XWdE/9SF9u29Qxj/B2FEM2P9oRxfmkAjHcE+DbA7G1AtprtlW0N+bGcvFxtodkiAHmL431FnffyqtUPL8miEqlhhHeDmIovkwqEfOJ9L/L9sqUUqo1LN0XwwPLqjP2TORS3p7cSxwdbE+yiyv5YHsko744wt9nUlCqtQz2smPdU4PZ8MwQRnZ3bJGDR6vV8uaWMCqVGgK6dMDazIhn/77IgCUHmL8+lAOXcqhSa2o19bnbmhH6/h30cLn1x/Iao7xKxbKjQtDvi2O8212kBeGzcukMfwD+OpPMkv+iAAj0sms0/NaAgVuVSX1dxRr5VzeEGFqPdbw7pRcdO5iRWlAhfhZcjbFcytCuDrw1qSf7F4zi+KIxLJ7eh/E9nTAzEtoN15xNYfaK8/RfvJ9n/rrIxgupTQpLD/CwE8fX3tkaQUp+y2MFGmJMDydRgFu4KZSZAzsxwtuBSqVG3BAJa6ZTSs8Ib0dRVPpsTzQHL9Veo+kblI/G1r/xPLqHE+N8nFBptHy0I6pF7jMQRLCam4Ig5KmpNFr6utvQzanuDa5tIelsuJCGRALfPdgPhUrDw8vPklOioIezFWufHIyjVd3FKkXlSn48XL0ZbKY7jlxIvkJBjU3Jxn6kiio1k78/IX598o2x/KlzEd/Tzx2ZVML9y05xPql2BtmPD/W7ZvT8zxOJ5JUq6GJvzoMDOzf8wI2wIzSjVuTDvFZkU5UpVDzz90Uxs+vlcd78MKuf4dh7i5FaUE54ehFSSXW8yq3ELSNKgTBG9/vvv7Nq1SouXbrEs88+S1lZGbNnzwbgscce48033xSv//LLL7Nnzx6WLl1KdHQ0H3zwARcuXOCFF14AhBPjV155hSVLlrB9+3bCw8N57LHHcHNzY/r06YAQlv7tt98SGhpKQkICa9asYf78+TzyyCN06HB7jxQ8NKgzUolgBYxo4UHRAEz1c+Pe/u5otPDSP8H1Loi6O1ux8A6h+Wvxf1GtWgTpxan9dYhTwz8/1Kbi1PgauVLNWbB01Y3rxetEKa+rcqbagidHeHG3nxsqjZbn1wRxJrE6PyG7WCG6kKBalNLvHrY3+hG+pftjxbG9Z0ZXh4K+vy2SON3u4Dcz/Ws5gWx1dnN9O2Z7iFIp+eXcv+w0PxyKp2aW7Is1Rgvbi5ySSj7aEcXILw6z8lSS6Ixa+2Qg654a0uq8hL/Ppoj5UBeSr/DM3xfZHZFFlUpDV0cLXhrnzb75I8XwWZlUwg8P9Wuyzf9WZ9UpwSXV2c6ce/o3HD7blozq7sisQUIG42HdDvqkvq7X7fENGLgRvDnJhyFe9pRVqXnsz3P1ZlD+P2FlasRXD/ghkQjZdgeasOnVyc6cRwd3YfnjAwl+bwIrZg/kkcGdcbE2pbxKzZ7ILBZuCiPg4wPc/8splh29THxOab3rlhfGdCOgSwdKFSpeWhfcbmPy70zphauNKcn55Xy5N4avHvDDtkbO0KXM4hY/9mNDuvBQYGe0uvVnTI0x9FG67NiT8fkN3v87U3phJJNwNDa3VZMTMwfWzte9qCuWmV6PSyopr4y3NocD8OJYb7o6WvDQ72fEkb2/5wU22Fr3w6G4WhuP+p9x7dmUWtdraNWq0Wjp+d4e8etfHx1AfqmCQ9E54on/vT+fuib3a2ZAJ6b41nYY55cqRNHn1Tt6tGpj72hsLgs2hKDVwiODO/NqHU60ppJRWMH9y06zXxeS/t2D/syf0P2233y7HdHnEg/2sr/uLdhtwS0lSs2cOZOvvvqK9957D39/f0JCQtizZ48YVJ6SkkJmZnVQ9NChQ1m7di2//fYbfn5+bNq0ia1bt9KnTx/xOosWLeLFF1/kqaeeYuDAgZSWlrJnzx5MTQW7oomJCevWrWPUqFH07t2bjz/+mPnz5/Pbb79d3x/+BtDZ3lz8UP3laPvV4/4/sHhaH7o6WpBVXMmCDaH1NsbMHe5JoKcd5VVqFmwIQd3KZpma4tS3M/3xcqjhnPr8ED8fiae8qnXi1PBuDpjIpaQXVtTK3WkMvQtFbwn3aqNMqZpIJBI+u7cv3k6W5JQoWLRJyDJwsTZFJpWwTRcuX1GlFp/79XBKAQzuWi2sXD229+/FNDZeTEOq2x28+uCiD8Ys0QmLzWnnaQrbQtKZ9P1xQlMLsTaV8+ND1c9hkGfrBKGGyCtV8MmuS4z84jB/nkxEodIwoEsH1swLZP3Tg2u117SEhNxS5q8PEXPG9Dhbm/DUSC92vjScAwtGsWBCdyQgOtheu6MH/a+TWHmjySmp5MdDwnjBK+Ovj0uqJq/qhHk9E1uZj2HAwM2OkUzKskcH0NPVmrxSBY/+cY6soqZnS96uDPayZ56u7euNzWFNcjjpMTWSMaaHE0um9+X0m2P578XhvKyLSdBqhc2Iz3ZHM/7ro4xdepSPd0ZxNiG/1rFULpPy7YP+WJnKCUkt5LsDLc9VaghrUyM+u09o41t5KonEvDI+u7faVVSl0hCb3fS1VU0kEgkfTu3NYC8h33Te6vOiS6iPmw12FsaUKlQEJdffNOjpYMEc3e9h8X9RdQanNwWZVIJ7HWN2d/tdu/GgUKl54R8hR2qQpx1zh3vyxIrzJOeX08nOjDVPBtbrkAJhHbnqdFKty1QaLfmlCnZeVSikaWAz9fEV58T/n+rnxsTeLnx/UHBfudqY8drGULLqyIH9+J4+11z2o24zuI+7NVNasdlyMbmAZ/66iFKt5W4/Nz6a2qfFAlJoaiHTfjrJJV174T9PDmZaIy2IBm5e9KLUXbfoZt4tJUoBvPDCCyQnJ6NQKDh79iyBgYHi944cOcLKlStrXf+BBx4gJiYGhUJBREQEkyZNqvV9iUTCRx99RFZWFpWVlRw4cIDu3asV5/79+3PmzBkKCwupqKggKiqKN998ExOTW0+BbAnP6pwbu8IzDbbyVmBhIuenh/tjIpdyNDZX3C25GqlUECcsTeRcSL7C78frvl5zkUklTO/nzv4F1eLUlXIlX+yJYeQXR1h5MrHFCw0zYxkjvAWxoDkjfHpbc7xOlPLQOaVySxRtmn9lYSLnl0cGYFFjrv/e/u7iONw7WyM4HJODWqPF2dpEbP5pbzp1qK65n9zXVRzbi88p4R2daPLK+O5iS05N9E6pUt3r1FaaVJlCxcKNoWLr0ECPDux+ZSS9dCdLxnIpvh3bvs3jSlkVn+2OZsTnh/ntWAKVSg3+nWxZPWcQm54ZwrBuDi1edBVVKPn7TDLTfjrJ2KVH2VIjS+Kefu78PTeQU2+M461JPentZoNEIqFSqeaFtcHi6OTTI1tf2Xyr8NXeGMqq1Ph1sm20ors9uFqAbWgn3ICB2wUbMyNWzRlIZztzUgrKmfHraVJb0UR7u/DqHT3o7mxJXmkVr//b/LxNENb5fdxtmD+hOztfGsGpN8ayeFpvRnZ3xEgmITGvjN+PJzLztzMEfHyABetD2BWeSalCRccO5nyqE4h+OhLPmYS62+pay6jujjyocxIt2hTGyO6OzAiozgeqryWvKRjJpPzy8AA625mTWlDBM39fpEqlQSqVMFK3djsS23DT9otjvXG0MiEpv5wVJ5Na9Dy0Wm2djix9fX1NPt8dQ0R6MbbmRix9wI+X/gkmSiecrJk7GFebujOk9Hy2+xJKtVY34i9cZiSVCM5rlUZ05gvPq+77+O3YZTE0GuC7B/2JSC/igG4MMr2wgpJKFb3daucGB7874ZqsydSCcv4+I0ShvHFnz2ZnYOqJzipm9orzVCjVjOruyNIH/Fp8XzvDMpnx62lydaOQW58fxgBDqcgtS2x2CaFpRcikEu68RTfzbjlRysD1paerNVN8XdFqYcnOls+TGwAfF2s+nCo0fH21L6beYPBOdua8d7eQA7B0XwyRGW03OllTnPpmph9d7M3JK1XwwY4oxn51lI0XUlvkutHPLh+41HxR6nJOGRqNFmtTI/GEtC3dUiC4sr58wE/8Oja7hJfGCRXMBWVVPLcmCBBcUtfDsqzVavmoRk6GfiGgF0MqlGqGdbPn+TF1j8rpx8hKKlXi/bWWiPQi7v7xhOjQemmcN/88ORh3WzPO6rLQ+nWybdOMgVKFiu8OxDHii8MsO3qZCqUa3442rJg9kC3PDW1xZpRGo+XU5Tzmrw9h0McHeGdrBKG68Uw9e14ZwTcz/Rnu7XBNY9+HOyKJyS7BwdKEr2f4t3jRd6sRllbIxotCc9D7d/e6IT/31bXubVHzbsDArYCTlSlr5gWKwtTMX0+3+bHwVsPUSCbkbcqkHLiUzcpTSa2+TzdbMx4d4sHqOYMIencCPz/cn3v7u2NrbkRhuZLNwek8tyaI/h/t54kV5yitVDHOxwmtFuavD6GwvKrxB2kBb0/uiZuNKSkF5Xy+O5r3ajTCLtl5qVX33cHCmD8eD8DSRM65xALe2xaBVqsVR/jqCzvXY2kiF0PYfzgY16yWaD2x2aXklFzrdvtgexQ5JdX3dyg6W8xs+up+P34+Es/R2FzMjGT88fhAsUGvPk5fzmdvZDYyqYTX7+whik5KjZbVpwVhqGZUgraOAb59kVl8sita/Pr82+ORSCR8f1UL4R29nImssWG/Zl4gHerYSPlybwxKtZYR3g4M926Z4zslv5xH/zhHcaWKAV06sOyRAS0aAdRqtfx4KI7n1wahUGkY08ORTc8OoWOHhl9XAzc363VZxON8nBp0Ed7MGEQpA43y+v/YO+/wpso2jP+SpnvvvQejhZaWvQQEkSVLZIqgiAtw6+feeyMKIoiggAwVZQiyNxTa0kIX3Xvv3SY53x8nPTQd0CJL7O+6eqVNs5vmfc/9PM99390VPYWcE0lF7I/tTOL7J0zv48qkICdUaoElGyO0zBabMi3EhVHd7WlQiZdr9A66VujIZUzu5cK+Z+7gvckB2Jvpk1Vaw/Nboxj95RF2nc/pkNAxoqs9MhlEZZa1e+zA3doIhVxGTYNKan9urF5dj414U2+afbH5ZJZU8/l9QejqXDrwvlF+Un+cy9bqKotILwXgw7/iiMutwMZEjy+mB7UQSxppNDovb+yU+geilCAI/HAshSnfniC5oAoHMwM2PNyfZ0b5SdW+RoP+fp5WV30/TalTqvjhWAp3fHyQL/ZdpLJOrDaufqA3fzwxiOFd7K5KjMopq+Hr/QkM+/QQs74/ze8RWdQp1fjZm3B/f3fpcu9M9Jc605qz5WwGG0MzkMngi+mB/9rFvaMoVWpe3XYBQYApvZxv2rji6mPa3aGHLmPC20kntxuuVkZsfmQA3rbGZJfVMm3FCSkZ9r+Kv5M5r4zrBsD7u2KvKo2uLUwNdBnbw5HP7wvi7Csj2fzIABYO9cLTxph6lZpD8QX877fzkul4Tlktc38IvS4FWlMDXT66VxzjW3syjfOZZTxyx6Uu3d/CM//R7fvam/L1zF6ST9ePJ1IZ6it2EsXklJN3BaFpci9nglwtqKpX8dHu+MtetjUau8yad8OW1TTwxh/iqHxh5SWbhfmDPEjIr2RjaAZyGSyd2euKSaxqtcC7O8WC38y+rrhbX+qI+j08k7KaBrxsjLXGwpv/KSPSS1j4U5j086q5vbE11Sc6u4y/m+zb5vR3kwJ6AMb1dGSQT0vBKSythD8js5HJxOOpqyG/vJY5qy8lDv7wQB+tVL/2Utug4slfzvHp32Ly8IODPFn1QB9MDf4bfpm3K3VKlfT5MKOv6xUufevyz7IoO/lP4GplxIODPFlxOIk3t0czwNsa438YY/pfRSaT8e7kHkRllpFcWMWzm8+x+oE+LToSZDIZH03tSVTmEZIKqnh7R4zUQn4t0dWRM7ufO1ODXVh3MpVvDyWRVFDF4+vD6eFsznOjuzDU98qjU7am+gS5WhCRXsremFzuH+DRrvt2tzYiqaCKxPxKnCwM8bI1JjS1+Jol8DWleST0Yz+H8/sTA3nyTl9pgb4Ro3v55bWSV1FfTytCU4oJTS3mQNylKvCn0wIvG8PbvFPqar3HiirreH5rlGReOqq7PR9P7dmi0tcoSv1TPymlSs1vEVl8tS+BrNIaQPSrePYuP8YGOF5VZ069Us2+2Dw2n83gyMUCyZTdRF/BhEAnpvdxpYezOTNWigmCA72tmd3PvdXbiskul0Ynnx7pxxDff1+k7tWy6lgKUZllmBkopNTKG01JVT0/aEZDnC0MySqt4VxGaafHRSf/KRzMDdj0yAAe+CGU6OxyZqw8xZfTg/61PiHXgrkD3DmRVMie6DwWbQxnx+LB1/xAWqEjp6+nFX09rXh5bDcS8yvYE53H7gu5nG8S9hOVWYbnS7t4fnQXRvvb421rQm2Dmso6JVV1SirrlFTXq6iuV1KvVFOvUlPXIJ7WK8WvOqVKPFWp2/QYnfn9Ka0ErWc2R3Ihq5yuDqYY6OlgZqDA3FBX+rIw0muzkNXI8K52vDymG+/tiuWdHTF425oQ6GLBuYxS/o7J0yreNEcul/HmPf5M+uY4v4ZnMqe/W4cKeY0jiCWtdJr9dSGXnVE5/B6RRWFlPV3sTRnkbcPDP50F4I0J/u1KE/s1PJPo7HJM9RU8PdKPeuWlzv/GLqlH7vBC0eR1aipKpRVVcd93l9KG7+vtwsju9jSo1FoJfM/d5cdQP1vuWXZcOu+bWcEtHo9afakrflqICwHOHbc/KKtu4P7VoaQXV+NmZcS6B/tKvqIdIaeshoXrwjifVYZCLuOtif5t7oU6+XexJzqPkuoGHMwMuMPP7mY/nKumU1nopF0sHuHD9shsMktq+GRPPG/e43/lK3XSKiYaf6lJ3xznYLzoL/VYk1biRqyM9fj8viDmrD7NxtB07vCz4e6A67MpNdDVYeFQb2b2dWPV0RRWHU3mfFYZD/wQSj9PK164uwsh7pfvkhnt70BEeim7o9snSoE4wpdUUEVSQSVD/WylqtO1TOBrJK1JmqGtqT7xeRW88vsFnr3LTxKl1p9K555Ap+s2wicIAq9su0BZjZi29/39ven1zt9kltTw4I/i5mv+IA+Gdbn8otIoSlVrOuiupmh7IrGQpzadI79C9Ip6dVw37u/v3uK5pxdVk1Vag0IuI9jdouN3hPi890Tn8unfF6W0RQczA54c6cu9IS5XZaadXlTNhtB0MeK7ScdhX08rpvd2ZUwPB4z0xCVu9bEUzqSWYKynw0dTe7YqfpXVNPDY+jDqlGqGdbFlURujk7cjyQWVfLFX/B94bXx37MxujK9ac1YcTqKyTkl3RzMeHOzJc1siO70MO/lPYmOiz6ZHBrBkYwQH4vJ5fEM4L97dlUeGev0nU7FkMhkfTw3kQtZR0oqqefn3CyydEXRNXguVWqCitoGyGvGrtPrS9wADvK0xN9TlWDPvo0/2xPPJno53DHWE5j6djWNtrSGXiSOg9uYGOJjp42BmgIulEd52xnjbmuBiaYSOXMaCIZ5czKtgS1gmT2wI525/B1GUis69rCgFosXBvSEubA3L5M3tMfz+2MB2FZPUakFKP24sojUWHhp5YoNoo6CnI+eFu7vw3JZIBEFMsntgoMcV76O6Xin9PRaN8MHaRJ+csku3n19Rh72ZPpN6OWsV8hrH94qr6pm35gwNKvFnW1N93pjgT1Wdkjs/OyxdfsFgT2b0daP3u/uk886+OrLVx7TtXBaRGaUY6+nw3OgurV7mSs9p/o+hxOdVYGeqz88P9buq9Tk8vYRHfgqjoKIOSyNdls8J+ccpxp3cGgiCwGqN//D0Pq5XFKZvZTpFqU7ahbG+gg+m9GDuD6GsPZnKhEDHK4oUnbRNN0cz3rzHn5d+O88ne+Lo6WLeatvvIB8bHhnqzYrDSbz463kCXS2uaPD4TzA10OXpUX7MHeDO8kNJrDuVxumUYqYuP8mIrnY8d1cXuju1PvY0JsCBD/+K41RyMSVV9a3O1TfHx86Ev2PyJKHCUxrfq7zc1a6KxtsMdLXg5TFdmbVKHO9q6mUQmlrMpjMZzOjrds3vH2Dn+Rz2xuShqyPjk3sDMTfSpZujmeRJ0NXBtF3t3RbNqmQd6ZRqUKn5Yu9Flh9OQhDEv8HXM3vRzbH1v+vxJHEj3svNQhJ5OsLxxEI+3h1HpGbkwsJIlyeG+XD/APcO+1MpVWr2x+Wz/nQ6R5oYs9qZ6nNviAvTertqtdMDJORV8PFu0RvilXHdcbVq6ZsgCALPbYkkragaZwtDvvgP+Uip1AIvbI2iTimaut8b4nLlK10HkgoqpQOu50b7Yabpgmgt2aiTTv4LmOgrWHl/CG/viGHdyTQ+/CuO85llfHRvT0z+g93q5ka6LJ3Zi/u+O8n2yGwGeVu3ular1QJlNQ0UVdVRWFlPUWV9k+/rpJ/F03rKaxuuqrBzJbo5mmGoK0cAymsaKK9VUl7TQJ3y2qblNqIWxM/L3PJaIlv5vZ5Cjqe1MT72JnSxNwXEbutGH8GTSUWUVTdcsQvnhbu7sPtCLpEZpfwansm03lceF4rPq6C0iT+gnkLO5kcHMParo5L418iSO31YeiCRkmqxePfWxPYVwVccTia/og5XK0PmDfIAxPCWpjw8xAt9hY7WfSrkcmobVCxYe0bLOmLl/SFU16t48Mcz0jpkqKvD83d3ocuru6XLfTotsMVIIoiC0keavccTI3wu2/3eGvVKNY/+HE54upiCvO6hvlf002qNrWGZvPzbeepVaro6mPL93N6t7oM6+XdyJrWEyMwy9BRy7h/w7+58+++tap1cNUP9bKUKyVObzrFzyRDpwKGTjjOjjythaSVsDctk8cYIdiwejFMrcbnPjPLjRFIhUZllPL3pHOsX9L/uSri1iT6vju/OQ0M8Wbo/gc1nMzkQl8+BuHwmBTnx7F1dWixq7tbGdHM0IzannL0xedzX58obFSmBTyNKedlqRKmCKgRBuKYV4cbuK09rI/p5WfO/u7vy3q5Yjidqp9q8syOGQT4213zRLq2u503N2N7jw3wkEaipSebXM3u1S6hpLkpdLtK4KTllNSzeEMFZTfzzzL6uvDa++2XFpsZknIHeHTPnjMwo5eM9cdLra6Snw4LBniwY6tXhz43cslp+OZPOL6EZWiLFUD9bZvdz486udi3SbkCcs3/yl3PUKdXc4WfLzDZm7b87kszemDz0dOQsnxPcLkH1duGbg4mcTRO7yN6f3OOmdGEIgsCbf0bToBIY3sWW4V3spIODosrrYyrcSSf/BhQ6ct66xx8fOxPe3h7DzvM5xOdVsGJOMD52pjf74d1wujuaMS3EhV/OZPC/385zPKkIa2M9cstEMSa3rJbCyjqUVzHSbqSnozUOJ47ENfnZSA8zAwW1DSpe/PU8AD2czRnbw5F1J1PJaeanGZtza3V51ivVxOdVEJ9XwU5yWvxeqRb4NTyTBwd7XvZ27EwNWDzChw/+iuPjPfGM7eF4RUuP5umBQ31tcbYw5LFh3nz4V5zW704kFRGZUYq5oS7LZ4e0a0+UU1bDyiNJALw0phv6CvE6xVWXxCc7U33maDrBmgb66MhlLFkfQbjG2xPgyTt9sTTS494VJ7S67P9cNIhFGyKkn/t6WrVZyFlxKIm8clEke3DQ5V/T5qjUAs9sPscRjcH7mvl92/TBvNxtfPhXLN8fFYs9d3W354vpQZ32K7cZKzVp7lODXVoVR/9NdL4zO+kQr43vzqnkIjKKa3jpt/Msm9nrP9lKfi2QyWS8OymA2JxyorPLeWx9OJsf6S8tpo3oKeQsndGLsUuPciq5mBWHk9pMZbvWOJob8sGUniwc6s3ney+yPTKbbeey2XU+lwcGuvPEcB/JdBvEbqnYnHL+upDTLlHK114UpS7mVSAIAm5WxshlUFWvoqCi7pqOEaVofKo8bcT7XDDEk/D0Ev66kAvAy2O7sjcmjzOpJbywNYr1C/pd026Z93fFUlhZj4+dCY8PF8c1mycr+tq37yDD3FBbNGmPKHUoPp9nNkdSXFWPqb6CD6f2ZFzPy4+DqtWCtJlsrZOvNZIKKvlkdzy7o8XXVU9Hzqx+biwa4dOhBVOtFjiWWMjPp9LYH5cvdYNZGetxX2/XFiamrfH53ovE5JRjZazHJ9N6tvpZdTKpSOqkevMef3q6WLT7Mf7bCUsr5itNmtA7kwJuWvV05/kcjiYUoqcj540J/shkMmmkU6m+Pl0FnXTyb0EmkzF3gAf+TmY8vj6cxPxKJi47zodTezIh0OlmP7xrSnW9kqySGjJKqskoriFTc5pRUk1mSU2Lrprtkdlt3paZgQIbE32sTfSwNtacmuhj0/RnYz0sjPQwN9S9YpKZIAhkldYQnV1OP08rTqcUcz6rTMtvqj0M72KLpZEexvoKjPUVmOjrSN/rK+Qo5HJ05GLnU2MycCP2ZvrklYsJds+M8sPSWI+aeiUVteJXeW2D5nvxtLS6gcLKunZ3Z729I0byQAp0teDOrnZ42hjjaWOMh42x1KE3f5AnG0PTSS2qZvmhpCuOpp1M1halxvUUjcbnDfRoVZSSyeDLGUHtXpM+2R1PbYOaPh6WjAm4ZGKe3WQ8cPEIH0ngahQtdeQy3t8VK+1XGp/38K52TF1+Qssa4N4QF/bH5WuNVK6Z16fVx5NZUs13GrHg5THdOtQVLggCr/9xgR1ROejqyFhxf4iU0NxeymoaWLIxgsOajvIlI3x4aqTff6YD/L9CYn4F+2LzkMnEY5p/O52iVCcdwtxQ0z694iQ7o3IY7GPDzGsw6iQIAnVKNdX1KpRqNWq1mCimVguo1AIymWiMrafQfOnI0VfI//WCmIGuDivmhDD+62NEZpTy5p+tG5p72Bjz9sQAntsSyed7LzLQ2/qGJcWBOFb39cxePDLUi/d3xXIiqYjvj6aw6UwGi0b4MHeABwa6OowJcODzvRc5nlhEeW3DFTtifO1MkcmgpLqBgso67EwNcLUyIq2omsSCymsrSjV2Smm6sWQyGR/d21MSpdafTmft/L6M+eooJ5OLWB+afkV/hfZyIqmQzWfFFvkPp/RAX6FDTb2KJRsjtC5XVtMg+UVdjuaXudz4nlKl5st9CSw7mAiAv5MZ384OvqKgA2LLfVFVPYa6OgRdIfWmoKKOr/ZfZGNoBiq1gFwGk3u58NRI3w6JHaXV9Ww6k8H60+mkF1+qUPb1tGJ2PzfuDnBoIdy2xsmkIqmC9OGUHq22zueV17J4YwRqAaYEO7fZSXU7Im5az6FSC0wKcmJK8M0Z28uvqOU1jbn8o8O88dCMXzZoKtm68s6Q4E46AQhxt2LH4iEs3hjOqeRiFmsOOt+8x/9fNc5X26AitaiK5IIqkgsqxdPCKjJLqilsR2ekkZ4Ohro6WoLBGxO642huiIO5AfZm+lgb619RZLoS1fVKojLLiEgvJSK9hIiMUgoq6tq8fE8Xc1wtjXC1MsLBTJ/UomoiMkqJzCjVulxcbgVjezgyvqcjQa4Wl93H/v30UMZ+dVQSUb6f25uXfjtPdHY5J5OK+HlBvyt2zguCQGWdksLKegor6yisqKOwso78ijqiMssk4aI5ka08dltTfTytRZHKzsyA1KJqlh1MZGY/N5xb6fQHcX9yuokopacj585uoml5fG5Fq9fp6mDG8Ct4azYSlVnKbxFZALw6rrvW69lYdAGY3ufSsUqjAbpKLbD62CWfLkNdHe7r7cKcVaepbDL6p6cjJ8DJjDe3x0jn/fb4wDa7jj7aHU+dUk0/TyvubiKStYfP/r7I+tPpyGTw+X1B3OHXscCVpIJKHl57luTCKgx05Xw6LZDxPW8v8boTkS/2ie/vUd3spcmTfzP/nlWsk1uGYDdLnhvdhQ//iuONP6Pp7mjWakyrWi2QV1FLaqFolFxQUUd+RS35FXUUVNRRVt1ApSappLJOeVUJYno6ckw1CSSmhrqYGSgwM9TFzEBst7Yx0cPOzAA7U31sTfWxM9XHRF9xS4lZrlZGLJ3Zi3lrQtkYmk4vV4tWu4ymBjtz+GIB2yOzWfJLBLuWDLnhMa4BzuasX9CPwxcL+PCvOOJyK3h/VxxrT6Tx7F1+TApyxsvWmOSCKg7G5V8xNctQTwcPa2NSCquIz63AztQAXzsTUZTKr+zwyNjlaBSlvJp4DpU02dSmFVVzKD6f/43pyht/RvPRX3Hc2dWu1ZHKjlDboOLl38RW/zn93ejtIXqxvbMzhqSCKuxM9alTqimraSAsrZgRXa+cMGNqoP3R3da/Tr5GdDmtSc+b09+NV8d1b3fV7oSmS6qvp1WbG/zqeiWrjqbw3eEkqjTG6yO72fHC3V3xa2fnF4ijDmtPpLLtXBa1DeKG0dRAwdRgF2b3c2t3FxmIaTXPbD6HIIgjinf5t9wU1jaoeOSnMAorxYjl9ybdnNG1m4FaLfDC1kiySmtwszLinUkBN+VxCILAS7+ep6S6ge6OZlrm8sWa/82rSRnqpJPbFVuN2fGX+xL45lAiW8MyCU0p5ssZQQTfwEJVe6iqUxKXW0FcbjlJ+WKgSXJhJZklNZf1cDI1UGjEHUNcLY1wsTTE1coIF0sjHC0MMNXs4WKyy5my/Di1DWqKKuuZ38ERqeY0qNREZZZyLKGI44mFRGSUSKbXjSjkMvzsTenqYIq3nYlkrO3vZMaWRwe0WjCpU6o4erFQ8pTMKatl9bEUVh9LwURfwUBvawb72uBubUxNvYo6pYraBhV1SjUqtYCThaFUoJn1/WkeHOQhilLJRSzeGM5LY7phZazXpkAik8kwNdDF1EC3hediI98cTGyXaXuBZv8emlqsdf6gDw8w0NuaLg6m+DuZE+RqgZeNMXK5jNiccsprLwk8Q/1sMDPQpbZBxdObz7V6Pyq1mEp4pc4eQRB4d0csAFN6OWsdi1TWKaV9n0Iu09rDtDXe2dvDkrf+jKFepaa/lxX55XUkF1YR7G6hJUgtudO3zf+30JRitkdmI5PB6xO6d2hfseposlRAfHdSQIc7IQ9fLGDRhnAqapU4mRuwcm7vq0r86+TWJzq7jJ1ROchk8PQov5v9cK4JnaJUJ1fFwiFenE0tZl9sPg+vO8v3c3tTWFlHdHY5MdnlpBRWkVZcJR1cdhQduQwdmQy5HHRkMgTEDUPzDUK9Sk1RVb1WxexKGOrqYGemj4ulIS4W4sbHxfLSqa2J/g1vcb3Dz5ZnRvrx2d6LvPrHBbo5mtHDRXshaRz3C08rIaO4hv/dpPFJmUzGsC52DPG15feILD77O56s0hqe2RzJqqMpmGo2Rn+dz21XlHsXe1NJlBria4uPnSn7YvNJyLt2ZudVdUrpPdK0a+dClrbnw/u74tj62ABC3C0JSyvh1W0XWP1A73/0Gi/dn0BqUTX2Zvq8oDEx3xuTxwZNJeyL6UH8cS6LzWczOZNa0i5Rqvnms7XxveOJhTz5SwSFlfUY6+nwwdSe3NPBDc4JyU+qZUqLSi2w5WwGn++9SL6mehzoYs5LY7u1O9VFqVKzLzaPNcdTJeEMxA3+3AHuTAh0uipz9df+uEBOWS0e1ka8Oq57i98LgsBr2y5wTuNb8d39IRjqdcx0/d/Mt4cS2RMtemgtndnrhovbjWw6k8H+uHz0dOR8Pj1Q66Ahs0Qcu3CxvH7BDp108m9EoSPnudFdGOJrwzObI0kvrmbaipMsGeHL48O9ryrN9J8gCAKZJTXE5JQTl1NBbE45sbnlWl48zTE1UOBta4KXrZgM52ljjJuVEa6WRu0Wors7mfHR1J48+cs5lh1MpIeLOaNbKUBcjuKqevbH5rE3Jo8TSUVa3TEgpsQGu1vQy9WSIDcLApzMtdaKqcEujPnqCNHZ5by/M5a3JooCf2l1PZklNVpeV3KZjK4OppKnI4jCyd8xefzdLGWvLSrrlCw9kCj9vOt8LrvOi93epvoKTfKeAW7WRnjZGEuvsaul0WX3tY8P89YSpQ49NwwrEz0OxuXz57lsDsbntyh+BTibae2hTiQVSYUsEP/GgS4WRGaWal2vMUX6s7/jSdYU5oz0dEht8n65mFfJ7uhcxva4vMXAnug8QlOLMdCV8/zd2iOE3x1Okr5fcqev1u9CU7THCRs5lliIIMDd/g6M6eHAk7+cAyA87dJz8HcyY/GI1i00GlRqXt0mFiFn9HHF36n9gtCWsxm8u1MU2J4f3YXZ/drfqS8IYsfX+7tiUQsQ4m7Jijkh2Jr+uz2GOmmbzzWp4eN7OrUZVPRvo1OU6qTDCIJAYkElvdws2RebT35FHRO/Od7qZRVymabCZajpVLrUtWRppIeJgThPb6Kvi7G+DkZ6isu2IqvVAvUqtfilVFPboKKyTkl5jZKymgZNwkkD5TVKSmvqNd1ZYrtyfkUdlXVKahpUpBVVazZMLRcmPYUcdysjrQ2Tl60xXrYm7RqtulqeGO5DZGYp+2LzefTnMHYsHtzCcNncUJevZ10anxzgZS0ZN95odOQy7g1xYXxPR9YcT+XbQ4nENDH23B2dS3W98oqiQhcHU3ZH5xKnaeP2a+Izda1ojB0203TVNdLo6TSzryuFlfXsjclj8cYIvpwexPTvTnEgLp8/I7PbJa61Rkx2ueQr8M7EAMwMdCmuquel36IAMQlmkI8NWaU1bD6bSVhqyeVuTsKoWadTU1FKpRb4+kACX+1PQBDERL9vZgd3uLVXqVJLQlFTPylBEDgYn8+Hf8VxUSMculoZ8sLorozr4dguQbe4qp5fzqTz88k0sjXmsDpyGXcHODBvoAe93S2vWgjcFpHFn5HZ6MhlbZp6rj2RypawTOQyWDarV7tGGW8XDsbn89lecTPz9kT/K45lXi8uZJXxhsb4/5m7/FqYuDaGH7h1pgR10kmr9POyZteTQ3h12wW2R2bzxb6L/B2Ty8f39uzQwXBHyS+v5VxGKecySonMLCUqo4yKZmJOI3am+nR1NMPPzgRvOxO8bMS9lI2J3jUpqE0MciYyo4wfjqfw7OZIvJ8wwcfu8mtdTlkNu87n8nd0LmdSi7XEFgsjXQZ52zDIx4bBPjZtpp0JgkBRVT1ZpdUM9rVle2Q2a0+msfZkGuaGui28r66WQT7WWBjpsTNK25g80MVcSrRtpKJOSUV+pfjZmaj1K0z0Ffg7iVMNPZzFTqamBTqZTMb6Bf2Yveo0ALO+P8VfTw5lYpAzE4OcyS2r5dfwTDadyZC6tmJzKpjSy5nY3ArJ1H3+IA8uaHy2KmqVHNMUtpoSn1vOpjPprNKMzT0zyk9aCwCcLQzJKq3hs7/jGe3v0OYxQYNKLaXbLRjspZVMnVNWw/dHk6Wf3TV/R7VaIK24WjKqb47YXe3Gm/d0Z+xXR6Xz65sYo389s1ebwu/qYylczKvEylivXUnKjeyJzuXFXxv3hZ48Psy73detbVDxyu8X+DVctIi4r7cL70wKaJfNQSf/TsLSStgfl4+OXMbTI32vfIV/CZ2iVCftorZBxdGEQnZfyOVQfH6bnUmTgpwIcDbHx84ED2tjnC0Nr2nVTi6XYSDX6XCUfCPV9UoKKurIKaslq6SGzJJGA03RRDOnrJZ6pZqE/EoS8lt26tia6uNlY4yfvSndHM3o6mhKF3vTa5JmIZfL+Oy+ICYuO0ZqUTWLNoazdn7fFqliwW6WvKhJjnt7Rwy93Cyu6wb0Shjo6vDYMG9m9HFl2cFE1p1MlTraQt7Zx95nhuJi2faBZRcHcSyr0VvAV5MolNjK63+1ZGg2Uc29jS5oku/8ncwZ39ORcUuPkVZUzepjKSwe4cNney/y5p/RDPaxwbqDqRYqtcBLv0WhUguMCXDgLn8HBEHg1W3nKaysx8/ehGc0LbfBbhYAnM8qQ6lSt5ok1xS5XIaxno40LifXbO4LK+t46pdz0kZwem9X3rzH/6q6gCIzy6isU2JhpEt3TRUmKrOUD3bFSaalFka6LB7hy5z+bu3aAEVnl7H2RCp/nMuWjFetjPWY1deN2f3dtDaVV0NmSbXkT/Tknb6t+q6dSCrkHU018qUx3Rji2zG/hn8zqYVVPLkxAkGAWf3cWo1TvxGU1TTw+Ppw6pRqRnS1Y+EQrxaXCU8XBdrWRsM76aQTEXNDXZbOCOLOrna88Wc00dnlTFx2nMeHefPECJ9/fGBarxRH2sLSSojMLOVceqlUSGiKno4cX3sTujqY0c1Rsz9yMO3wunk1vDS2K9HZZZxOKWbhT2f5/fFBLQqIFbUN7L6Qy+8RWZxMLtIaH+zuaMZd/vbc2dUefyczrcKKIAgUVNRxMa+ShPwK8TSvgoT8yjaFp8bzbUz0JJ8rR3MD6dTezAAbE30p2U9foUNlnZI9F3LZdi6L44mFklB2OrmYO/xseW9yAK/8fkG6j3cn9cDT1phxS4+SVlTNIB9r3rongPzyWrLLakktrCK58JJfV2WdktMpxVodyW5WRgzysWaQjw0DvW0Y6G2Nga6c2gY12WW1PL4hjB/n90VXR46DuQFPDPfhsTu8OZFUxHdHkjiaUCh5OTUS5GrBGxP8aVCpic+t4FxGKa9uu6B1mcY0uEY2hqZrGbGr1AJmBgqSCqrYc5luqY2h6aQUVmFtrMcjd4hrSE29ivNZZdz33Umtyz75yzle/DXqitMb/TyteGNCdzadySBJE47TlHcnBeDVRoEvs6SarzQePy+P7aYVAnQ5jiYUsHiD6G05LcSFl8d2a7dgm19eyyM/hxGRXopcJoZRzRvo8Z+xIvgvolYLvL1dFHHvDXZp8/34b6RTlOqkTVRqgaMJBWw5m8nB+HyqNQfAII7A9fawpL+XNSq1wOeayruFkR4PDfa8ZT8QjfQUuFsr2uyMaFCpyS2rJblQNOBMKqgkKV9c3PPK66R5+qYLu0wG7lZGdHUQRapujmZ0czDD1cqww6+DOErUm8nfHud4YhHv7YrljQn+LS63YIgnp1OK2Bebz6INEfy5aNBNG8FpxNJYT1oQh3x8EICaBhUjPjvMgsGePD7cp1Uz1kZRKiG/ApVawMfOBJkMcSyzsu6abGpbGwUSBIFoTWpOgLM5FkZ6oon/dyfZEZVDv4lWdHUwJS63gre2x7B0Zq8O3eeG02lEZpZhaqDgrXvEv+GfkWJyoUIu4/P7giRx1cvGBFMDBRW1SuLzKtolMhrrKyRRSiaTEZpSzKIN4eRX1GGoq8O7kwKY2kZUcXtoHN0b4GVNVmkNn+yJ509N0pGeQs78QR48fofPFUctlCo1f8fk8ePxVC0figBnM+YN9GR8T8erFpmb38/Tm85RUackxN2y1UpjRnE1T6wPR6UWmNzL+bZIK2kvZdUNPLT2DOW1SoLdLHhjQsuxxhuBWi3w7OZzpBdX42JpyOf3BbborqtXqiWD3VvNJ6eTTm41ZDIZk3o5M9DHmte3RbM7OpelBxL564LYNdWRUJQ6pYpz6aUaAaOIsLSSFgfyMhn42ZkS5GpBkJsFgS4W+Nqb3PCxwUZ0deQsmxXMPcuOkVxQxaIN4ayZ1wcdubgurj+dzp7oXC3ho6+HFWN6ODCqu71UNKupV3Eus5SY7HJicsq5mHt58UkmAydzQ9ytjXC2MGRLmNipYqAr5/TLIzvUWW+ir2BqiAtTQ1zIL6/lz8hs/jiXzfmsMvbH5bM/Ll/r8k9timDH4iEsmxnM1OUnOJ5YxMG4fB4e2lLgV6rUJBVUEZlZyvnMMqIyS4nOLie9uJr00Go2hmYAYvdV07DT44lFvP5HNO9PDpD2snK5jMG+Ngz2tSEqs5RvDyaxJyZXEvme/OUc/k5m+NiZEuBsjq2pfgtRqjmNHV9L7vTlh2Mp5JbX0tPFnKjMMlYcTmJMgEOLvXRFbYMkAI3oasd3h5M5dDGf2JyKNv1p22MncjqlmK6v7W71d3d2tWN2v7YLOW/+GUNNg4p+nlZMDW5fd31YWjEL14VRr1IzJsCBD6a039syKrOUhevCyC2vxcxAwTezg/9TRbb/KlvDM4nMLMNEX8Gzo28PL6lGZILQjizxTv4R5eXlmJubU1ZWhpnZrT/3WVBRx/rTaWw5mymNPQE4mRswOsCBu7o7EOJuqeX/8ce5LGn2+vnRXXhieOvz1v9mKmobSC4QzTrjcyukluW20lgsjHTp4WxOTxdzerqIGzcH8/alye2+kMujP4cB8PHUnq0an5dW1zP2q6Nkl9UyIdCJpTOCbhkxMCythKnLT2idZ2Oiz3N3+TGtt6tWO7ZKLdD99d3UKdUcfG4YnjbGDPn4ABnFNfyysH+7/Ykux3s7Y/j+aAoPDfbktfHiwXhuWS39P9iPjlxG9FujJWFkxeEkPvwrDn2FnHcnBfDir1GoBVg1tzcju1/Z7wnEjqURnx6ivFbJ2xP9mTvAg7zyWu764ghlNQ08PdKPJ5u13M5ZdZpjiYW8NzmgXV4CIz49RHLhpUqeQi5DqRH1vp0d3CGT8daYsfIkp5KLMdLTQakSpPb1Kb2ceeYuv8t2vwGU1zawKTSDNcdTpMq6Qi5jTA9H5g10J9jt6kf0WuOzv+P5+kAiJvoKdi0Z0mLsorpeydTlJ4nNKaeHszlbHh1wTcSwfwN1ShVzV4dyOqUYR3MDtj0xCPtrmGzZEd7fFcvKI8noKeT8+ujAFt55AIfi85m35gy2pvqcfunOWyLG+t+2jt9OdL72HWPX+Rxe/+MChZX1yGQwu58bz9/VtdUCglotcCG7jEPxBZxIKiQivVRLvAGxm7WPhyVBrpYEuVrQw8X8lkz7i84uY9qKk1TXq5DJRL/KuCbpbt62xkwJduGeQCdMDRREZ5cTnV2mOS0nuaCy1dCQxsKjr70pfvYm+NqZ4mtvgretidYakllSzbilxyiraWDBYE9eHf/Phf/E/Aq2RWSz7VyWVFxrStirI9l1PofX/ohGRy5j08L+UpjK5aisU3ImpZhjiYUcTyzUep2a8+q4bixopZu16WP87O+LUpIxwJIRPjw+3IeDcfk8tj78io+nOV0dTEktEn1pNyzox0Af7dCbx34O07q/K7Fj8WCe3xoljRk2x9nCkG6OpkRllkkemc3ZuWRwmwXDv6NzWfhTGAq5jL+eHNKuYJYLWWXM/P4UFbVKhvrZ8v3ckHZ3Nv4ekcn/fj1PnVKNt60xqx7o06aJfSe3D+W1DYz49BCFlfW8MrZbqyL0rUh71/Bbb1Xp5KaRWVLNyiPJbDqTIW1KzA11mdzLmSnBzvRwNm/zIHJikDOFlfW8syOGT/bEY22sd9NGQ64Xpga6BLpatBgnKaysE0WqnHJic8SkmYS8SkqrGziaUMjRhEsz9Xam+pJI1cPFnGBXy1Y3incHOPD0SD++2HeRV7adx9vOmBB37Y2GhZGe6C/13Sm2R2YzwMuaWZep4txIerlaYG+mT155HTP7unEquYiUwir+99t51p5M47Vx3aRNho5chq+9CReyyonPLcfTxhhfO1MyimtIyKu4JqJUa51SjX5SPs02lguHeHEquYhD8QWsPpbC3AEe/HgilVe3XaC/t3W7NuMf/hVHea0SfyczZvdzRxAE/vdrFGU1DfRwNufx4S27eAJdzTmWWMi59NJ2iVLNR0aVaoEJgU58OKXHPx4nraxTcipZ7Gpq7JAc5GPNS2O6XTHJJaO4mjXHU9l0Jl3q5LI21mN2Pzdm93e/LmLIicRCKbHmgyk9WghSgiDwgmZDamOix3f3h/xnBCkxaS+K0ynFmOorWDO/z00TpH4+lcZKjcfaJ/f2bFWQAlGUBxjtb39LCFKddPJvYmwPRwZ4WfPOjhh+i8ji51Pp/HU+l/+N6crUYBdKaxo4mlDAofgCjlwsaGHHYGOiRz8va/p7WtHfy1rTvXzr/x/amOhjb2ZASmEVggBxuRUY6uowqrs9Ac5mqNRwLqOEDafTtQqu2rehR3cnc7prxg9bE5/awsXSiE/u7cnCn8JYdSyFfl7WjGpnIastfOxMeW50F54Z5ce7O2P54bj26FvIu/u4299B6rRetCGCnUsGX7HD3ERfwfCudgzvagdAfkUtf0fnset8jpZZOcC7O2OJyCjl03sDW7UC8LEzZfmcED7YFSt5aC49kMjv57Ika4HWsDDSpbS69S60uNwKfOxMSMyvZOXRZAb62GiCUfL5ZE+c1midsZ4Od3SxZVR3eypqlbz+RzR6CjmLhvvw+d6L9PO0YmtYJrE55egp5AzytuZgfIF0/R/n92FYF/F1SCuq4o5PDrX6mO5ZdpwxAQ48ONhTq4O3qk7JW5pkvoVDvdolSCXmV/LAD6FU1Crp42HJd3PaJ0gpVWre3xUnvQ+Gd7Hlq5m9MLvJkxKd3Bg+//sihZX1eNka88BAj5v9cK45naJUJ5RVN/Dl/ov8dDJNikkNcrVg/iAPRvs7tPvg7aHBnhRW1rH8UBIv/X4ehY6ce//B+NC/BRsTfWx89LXMoOuUKi7mVoomoJmlRGWWkZBfSX5FHfti89kXe6kV29fOhBB3S0LcLentYYWHtREymYzFI3yIyy3nrwu5PPJTOH8uGoSThbbnToi7FS+M7sIHf8Xx5vZoglwt6O508yvJcrmMu/0dWHsyjQaVmj1PDWXdyVSW7k8gNqecWatOM7KbPS+P7YqXrQld7MUUl7jcCu4OcMTX3oQDcfmt+npdDZdEqZbJe/7NXi+5XMYn9wZy95dHiMutoI+HFW5WRqQXV/PVvou80kqaW1POphazVdPG/86kAHTkMn4JTedgfAF6Cjmf3RfY6phDkKu4yTmnGVu6EsXNDiReHdftmozOHrlYwNwfQqWffexMeGVcN4b52V72tsPTS1h9NIW/LuRI1WY/exMWDPbiniCn6yYCFVbW8eSmcwiCmHbTWoTy8sNJ7IjKQSGX8e3skBb/R7czn+2N549z2SjkMpbPCWlhKH6jOBSfL5nZPjvKr83wgOp6JTvPi6a+YwIun7zUSSedtI6lsR6fTw9iWm9XXv/jAgn5lTy/NYrnt0a1uKyJvoJBPtYM9rVlgJc13rbG/woRqpG0oipWHE7m17BMLUNqEC0EdkRlS6PnTXG3NqK7oxn+Tmb4O5nj72SGran+P3rud/k7MH+QB2uOp/Ls5nPsWNyya/dqkMtlPHmnL2tOpNB8vmV39KWOodzyWmasPMXup4ZeNjSoOXamBszp786c/u58vDuObw8laf1+Z1QOO6NyWDjUi/v7u7fw5wT435iunEktJjy9FICM4taFP0dzA7Y8OoDBH4k2D4Eu5jhZGLbofGr0FT0UX8D3R5LZeCad5GY+T6vm9mawrw0Gujo0qNSM/uIIIB6PlGvGLpt6aU0NdpbGFUFMCGwUpADGLz3W4vF62xpja6rPqeRidkTlsCMqh2A3C54b3YWB3jZ8+FccWaU1uFgasnjElU2nM4qruX/1aYqq6glwNmP1vD7t8v0sqqxj0YYIydNz0XAfnh7l16G/cyf/XsLSill7MhWANyf4a00r3S50ilL/YQRBYGNoBp/siaNEU60Y5GPNE8N9GOBlfVUL8wuju1BR28DPp9J5fmskchlMCb79hanm6Ct06OFirukEELteaupVRGeXEaWZ6Y/MLCOlsEoyVf/ljLhQWhvrEawRqWb0dSM+r4Lkgioe+Sms1ZGjhzWdPQfjC1i0IZw/Fw++JVrrx/RwZO3JNP6OzuW9yQEsGOLF1GAXvtx3kZ9Pp7MvNo9D8fnMHeCBo2assTFxr9HsPCHvWolSjUbnl8SImByxU6o1Ec/WVJ+PpvZkwbqz/Hw6jYVDvPjuSDI/HE9laohLmwf2SpWa1/4QD7yn93Yl2M2SzJJq3tkhVtGeu8uvzbG6xhS0xIJKKmobLusRdig+v0Wl93Lt9e0hMb+S93fFcqCZd8XuJ4e0abyuUgv8HZ3LqmMphDWJuR7ia8OCIV4M9bW5rgc3oj9RJAUVdfjambTqv3YgLk+Kun7zHn/6el55tOF24YdjKXxzUDy4eH9KDwb72lzhGteHsLQSHtd4ed0b4sKiNuK0AbZFZFNRq8Td2ogB16BLspNO/osIgkBcbgUnk4tQteHSMb23K5N6ObewY/i3kFlSzYd/xbGjWTJdc9SCaD8R5GZBkKsFPV3E4t316i55aUw3ItLFdMLH1ofx62MDr0lRxtxIl24OZsTklPPF9EDWnkiTiliNnVIACfmVeL+8i/UL+jHQu+N7+XkDPVhxOAm1AD8/1I85q09Lv1t5JJlVR5MZ5GPDUyP9CHG/1DEkk8l4fYI/kzRp3Ho68hYiIYC+Qi4JUiB6SjVPEmzOe7tiW5z3++MDtfzS1p9KI1ljfP74MG/JAqORSUFOWoIUwCDvS2vi2hOpLVIk+3tZsX5Bf3TkMmKyy/nheAp/nssmPL2UWd+fRl8hlyZLPp7a84riUn55LXNWnyanrBYfOxPWPdivXe/DC1llPPJTGFmlNRjp6fD5fYHc3Vm0+c9Q26Diha1RCAJMDXZhqN/t6R12849cO7kp5JXX8tyWSGm0zM/ehNfH+//jgxaZTMbb9wQgCLD+dDrPbolEJoPJvf57wlRzDPV06O1hpTXvX1RZR3h6KWfTiglLLSEqq4yiqnr2xuSxNyZP6/rns8ro/8F+jr04Qkt0akztG7f0KMmFVbzy+3m+nH7z/aX6eFhJI3xHLxYysrs9lsZ6vDUxgPsHuPPezlgOxhdotaNHa9Lw/OzFNImE/LZ9DtpLdb1SEl2bdsg0dmE1Gq03Z2R3e2b2dWVjaAZ/asYjTyYX8ervF9j8yIBWx4p+PpVGbE455oa6vDimK4Ig8MrvF6iqV9Hb3ZKHBrctHNma6ktRyFGZZVqdd42o1QLLDyfx6d/xWucP9L76g/fS6nq+3JfAz6fETslGbyqAz+8LbFWQqqxTsuVsBj8cT5GqoXo6ciYGOfHQEM8b1o2z6lgyhy8WoK8QjW6bbwjjcstZvCFCinme0//KY5G3C5vPZPC2Rgx9aqQv9/Vu6Ut3I7iQVca8NaFU16sY4mvD+5PbNnJVqwXWnkgF4P7+7p2je5100kFSCqv4PTyT7VE5pDTzHPSyNeZik0LPXxdy8LEzIdjd4iY80qujoraBfbF5PL0pss3LGOnp0M3RTCqU6Cnk/LFoMLam1z8JsPH+vp0dzPivjxGdXc4bf0Tz0b09r8lt9/eyJiannLOpJXw9sxdjvzpKRZ2SWf3c8HcyZ8nGCOmys1edxsvWmDn93Jka4tJu43U7MwMG+dhwNKFQTF18/S4mfXtcej+pBSRrCm9bY96ZGMAAjfgV5GrBpCAntp3LblWQAkgtqtb6+Q4/W0z0FchkkF9ex8X8ilbH+sb3dCSrtIaI9FLG9XTUEqQKK+v4TBO49PQoP4z1FBxPvDSG2NPFnG3nLnXLjfa3Z090nmR1kFRQKXXyNmJlrMdXM3pJnUjdncz4dFogL9zdhWUHEll3Mk3Lfy2gjXH0Rkqr67l/dShpRdW4Whny80P9sDK+ckLftogsXvw1ijqlGg9rI1bO7f2PPUM7+Xfx9YEEkgqqsDHR57Xx3W72w7ludIpS/0EOXyzgyV8iKK1uQF8h54W7u/LAAPcrxtC3F7lcxjsTA1ALYmTrs5sjUaoEpt2kg6JbGWsTfUZ1t5d8B+qUKi5klROWVkxYWglhaSUUVl4a0yqtbiDgjT30crNggJc1/b2sCXG3xMpYj69n9mL6ylP8cS6bfp43319KRy5jXA8nfjiewvaobC2TcB87U9bM78uRiwW8uzNG2iinFVWzLyaPARqRpbCynuKq+nYt3G2RXy6aVhrq6mCq2YDUK9WkaTZGjV1ZrfHquO6cTCoitUhMCjPS0+FsWgm/hme2eD8XV9VLm6IX7u6ClbEef5zL4vDFAvR05Hx0b88rtlkHuVqQVVrDuYzSFqJUVZ2SZzdHarXqN3I534a2aFCpWX8qjS/2JUjpQiO72bFwqLcUp9w8ySWnrIYfT6Sy4XS6VJW1NNJlTn937h/gjp3pjfMqikgv4ePdojj3xgT/FuJiQUUdD/14lqp6FQO8rKUExP8C2yOzefE3cUxnwWBPnrzzyiMF14OEvArmNvXNuD/ksh0Zu6Nzic+rwERfwbSQzvWik07aQ2l1PdujcvgtPJMIzegUiOLIUF9bxgQ4MLKbveRfeSKxkHd2xhKbU857u2L56VQaL43pyt2tpJzdbGobVIRqDLmPJhS2aVQ9IdCJfp5WhLhb4mdvio5cRnFVPZO+OU56cTUPrT3Dxof7/2O/xfbiZGHI1zN7cf/q02w6m0GwuwXT+/zzPVl/Lyt+OJ7CqeQi3pvcg/en9GDxxghWHklmw4L+pH44jsnfHpfeB8kFVbyt8XqdGOTEAwM96OZ45aLR5F7OHE0oZEtYBotH+LBmXh8mfXu8hViUVFDFrFViJ5WFkS53dbdvt1l3F3tTdj81ROs9JwgCW8IyeaGVMdPGjjhdHRkvju6q9buPd8dRofHxnNnXjb9jLu2T5DKIatKJ9eGUHmSW1GhEKR1yymq487PDLe7vs2mBrfov2pka8PbEAFIKq7Q8Y0d9fpi3JwYw2t+hxXUq65Q8sOYM8XkV2Jnqs/6h/lcMPlKq1HzwVxyrj4mF22FdbPlqRq8OpTp28u8nPL2EFYdFr7Z3J/ljYXT1x0O3Op2i1H+MH4+n8PaOGNQC9HA254vpQfjYmVzz+5HLZbw3KQAQhannt4omz/90xOh2R1+hI/lLgbhApxdXE5pSrOUFEZFeSkR6Kd8eSkIhl9HTxZz+Xtb087TiRFIRb/4ZTYCzGT1dLG7SMxGZEOjID8dT2BuTR029qkUny1A/W3Z5D+GXMxlSbPCCdWcZ28MBuUysyCXkVdDvH4zxNCap2Jtd8opILapCpRYw1Vdgb9Z29dRYX8EX04O4d8VJzqSW4O9kRnR2OR/8Fceo7vZai8NX+y5SUauku6MZM/q4UVJVz9sa88vFI3zwtr3y/5m/sxk7z+e02Hhnl9awYO1ZYnLK0dOR8/ZEfyIzS6VW9I4eRxyKz+edHTGSWWgXe1NeG9+dwb42/BYu+mEFOJtJleWEvApWHE7mj3NZUheVl40xDw72ZGqwS7v8EK4lZTUNLN4YgVItMK6nIzP7agsYtQ0qFv50lqzSGjxtjFk+J/hfOZ5yNeyPzeNpjcfWzL6uvDKu20050EwuqGT2qtMUV9XTw9mc1fP6YKTX9pZDpRb4QiPqPjjYs9UAiE466URErRY4lljIhtPp7I/Lo0Elfi7LZWIxYUqwM3d2s291lH+gjw07Fg/m1/BMPt0TT3pxNY+tD6ePhyUvje2mZeJ8o1GrBWJyyjUiVAFnUkuoV7becTMh0IlnR/nhrvHhbI6VsR4/zu/D1OUniMos44kN4Xw/t3erno7Xg0E+Njx7Vxc+2RPPa39E4+9kfsWgkCvR19MKmUwUg/IrxOTlowkFbD6bydObzvHXk0PY+HB/Jn97QtpHeNsak1RQxS9nMvjlTAaDfKxZMNiLO/xs2+xGHRPgyBt/RpNZUsP+uHwq6xpQtRZN2ITS6gY2n81s93OZ1ttF6++WW1bL81sjtYSe1mhQCViZXNp7haeXSPf79sQAiqvqefTnS4l/TR/2xCAnZvR1463tYldUvVLN2K+OtriPh4d4SibwrXEi6VKI0aLhPuyIyia1qJpHfgpjQqAT704KkMSj2gYVC9aeITKjFEsjXdYv6HdFn7HiqnoWbQiXTOefGO7NM6O6dPpH/ccor23gyV8iUGmCjG73kc1OUeo/xJf7LvLlvgQApoW48O7kgHZXNK4GuVzG+5MDMNHX4fujKby7M5biqnqeH93llqvG3arIZDLcrY1xtzZmWm9XXt12np9PpQNiZG5FrZKs0hrC00slc0mAepWae5YdZ9Xc3tzRxfaGbcKaE+RqgYulIZklNRyIy2dcz5YfqAodOXP6u/NbeKb0HHadv1Tlisws/YeiVC2AVhdPo1eVj/2VU4V6uVmyaLgPX+1PIK2oGitjPYqr6vl4TzzvT+4BiH5MP58W/y6vjuuGjlzGuztjKaqqp4u9KY/c0TJtrzUaK5hNRanw9BIWrgujsLJOkxzXmxB3S2KaXKa9nVIZxdW8vSNGGg21Mtbj2bv8mN7bVeqUPHJRTKUZ6mtLeHoJyw8laY2S9vO04uEhXozoandTxqsEQeDl386TWSIai34wpUeLSusLW6OISC/F3FCX1Q/0vq0rS005FC/GbyvVAhODnHh3UtujcteT+NwKZq86TWFlHX72Jqx7sO8VfTN+DcskIb8Sc0NdHhrseYMeaSed/Lsorqpny9kMNoSmS92+AN0dzZgS7Mw9gU7YtSNdU0cu477erozr4ch3R5JZeSSJM6klTPn2BCO72fPcaL8bNoZdVt3AoYv57I/N53hiYYs0wOZ8NLUH00Jc27X+eNmasHpeH2Z9f4pD8QW88vt5Ppra84Z9Lj52hzfhaSXsj8vn0Z/D2LF48D9ajyyM9CRfqdPJxUwIdOLNe/w5m1ZCckEVL/waxcr7Q/h2djATvj5GZZ2SEV3t+GCKA2tPpPLXhRyOJxZxPLEIb1tjHhrsxZRg5xaeV4Z6Ogz1tWXn+RweXnf2n74MABjoyqltuCQwfrUvAT97U4b62XI6uYgnNoRTWFmPvkLO06P8yC6tYd3JtFZva9I3x1l5fwju1sa8/odY0Lw3xIVujqbMXHmq1eu4Won7BRDfc4Dk5dqUni7mPN+sE6spVXVKqZNrdj83nhvdhUUjfPj6QAIrDiezPTKb8LQSls4MooezBY+vD+dUcjEm+grWPdjviul8zf2jPpsWyJget7cY0UlLBEHgtW0XyCgW97rvTQ642Q/putMpSv1HWHYgQRKknh/dhceHed+QRVkmk/Hy2G5YGevzkSbRo6S6nncn9ehU/K+CNyb4k1ZUzdGEQkqrG9j2xCAaVGpOJRdxKrmYU8lFWgbYC9adxVhPhwHeNgzxtWGwrw1eNjcuWUcmkzEh0Inlh5LYHpndqijVyCAfG8LTSwl0MUdfoUNoqpiW8v6uOLxtTbiz29VFKzeO79k26Yhq9KryaUf3EsCiET7sjckjJqccG11xQ7kxNJ3ZGh+HD/+KRaUWGNnNjoE+NhxLKOTX8ExkMvhwao92d+l014hSKYVV1Dao2BOdy/Nbo6hXqunqYMqqB3pLCYJ6TYRG/Svcfm2Diu8OJ/PtoUTqlGoUchnzBnqwZKSvlligVgsc0VT/lh9OkhJ4ZDIY3d2BR4d5S4bsN4sNoensPC8m6S2bFdxC7Fi6P5E/IxvT5oLxauff+N/Ovpg8Hl8fTr1Kzaju9nw6LfCmfMaezyzj/h9OU1rdQDdHM356qC+WVxi/Lamq54O/RCPbRcN9OscTOumkGReyylh9LIWdUTmSV4+pvoKpIS5M7+ParpGs1jDWV/DMKD9m9nXl878v8mt4Jvti89gfl8c9gU48PdIPDxvja/lUANHDZ39sHvti8wlLK9HqwjHW06G/lzVKtcBhTZFEJtMIAHd16bCoE+xmydczg3nkp7NsPpuJo7khT4/yu6bPpy3kchmf3xfE+GVHySiu4ZnNkaya2/sfFXQafaVOJRcxIdAJIz0FS2f0Ysq3J9gbk8e6k2k8MNCDT+7tyWPrw/n+aAo9XSz4ZnYwmSXVrD2Ryi+hGSQVVPHy7+f59O94ZvdzY+4AD2xN9ampV7H8UKKUggqi/cHCoV4ciMvnfNblTclbQyGXaQlSABV1SuatCaWrgxnxeRWo1AJdHUz5ZnYw3rYmJORVtClKJeZXMvGb4/TztOJCVjmmBgqeH92FJRvPtWqariOX8e2sEKlbN7O09WRACyNdvpl1+c7qd3fGkllSg7OFIS+NFf19DHR1eH50V0Z2s+fJX86RXlzN1OUnpesY6Mr5YV4fTfhR2/xxTvSPqm3o9I/6r/NbeBZ/nMtGRy7jqxm9rlsww61Epyj1H2B7ZDaf/i2ORbw0pmu7uzauFTKZjMeGeWNhpMsrv59nY2gGhZX1fDUj6LLjHJ20RFdHNHS+d/kJEvIreWjtGbY8OoBpvV0lj6OM4mpWH0vhR41hcFW9in2xeeyLFbtdnMwNGOxrw2BfWwZ5W2Ntcn3NPyf0FEWpA/H5l02V83cSF2ulWmDbI/15fH24FBH80NqzjOhqx+vju3d4g5wndUo1FaXETilf+/YJFro6cj6+tycTvzlOYWU9ego59Uo17+2MZdFwH/bF5qOQy3hpbDfqlWqpcvfAAA8tM84rYWeqL3ViPbzurNQePqq7PV9OD9Lyw9BtsmnSv0yyz/7YPN7aHkN6sVhVH+BlzdsT/VtU65QqNR/tjqNYU6UWBNG7YXIvZxYO9b4uY74d5UJWGW9pRiKfH92lhUD2Z2Q2X+wTP+venRTAQO+bkzZ3o9l9IYdFG8RxxjEBDnw1o9dN6Y48m1rM/DVnqKhTEuRqwdr5fds1hvexJgG2i70p8wZ5XP8H2kkn/wIEQRRlVh5JlsZ4QLRemNPfTRIkrgWO5oZ8Mi2QR+7w5ot9F9kZlcMf57LZEZXDfb1dWXKnD47mhle+oTZQqwUiMkr563wO++PytUzYQQw3ubObPcP8bOnqYMYHf8VKXSxeNsZ8Mi1QK+mto4zqbs87kwJ45fcLfLU/AUdzA2b0vTG+m+ZGuiyfHcLU5Sc4EJfPt4cSWTTi6n3+Bnhb88PxFI4nXhpzC3A2539juvL2jhje3RlDoKsFY3o48ugd3qw4nMQLW6PwtTehq4MZr4zrzpI7fdl8NpM1x1PILKnh6wOJrDySjLu1EckFVdKYfiOLRvjwxHAf5g5wZ9QXR6R9QmsEuloQqUkFbOTObnYY6yv4LTxL63y1gNT1PTHIiQ+nXEqw87U3JcDZjAtZLX3E9HTkVNQq2RcrpgU/M8qPZQcSpX1uc54f3UUShBpUakJTiltcRiaDL6cH4WrV9mjd7gs5bAxNRyaDT+7t2WI8tpebJTuXDOa1bRe0jNW/nN7rssm/SpWaD/+KY1VT/6jpvTrH2P+jxGSXS5YmT4/0/Uefff8mOhWB25yEvAqe3yqmlDwy1OuGC1JNmdnXDXNDXZ7adI69MXnc991JVj/Qp1UjwU7axtxQlx/m9WHSN8eJzi7nqV/OsWJOiFR5c7Uy4s17/AlwNue5LeLfvp+nFTpyGWdTS8guq2Xz2UxpBt/fyYzBvjYM8bGlj6flNR/p7OZoKnka7I3JY0pw60mMAc5ipfdiXgX1KjUvjekmiVIAB+LyOZZQyGPDvHl8uHe7H2dBeaOn1KX3WaJmfO9yJuctH585jwz14ttDSZLHxYmkIulgYU5/d7xtTVhxOInkwipsTfV59q6OVWNlMhk+tiaEVhVLgtRjw7x5/q4uLSqrTTulDFqp6qUXVfPW9mj2x4mbNnszfV4d153xPR21OuVqG1RsCctk5ZEkKUkPRE+FBwd7/qMDkWtJWXUDj60Po16pZmQ3Ox5u5k8Xnl4ivd8fHuJ5ww44bjZ/Rmbz9KZzqNQC9wQ6tZmYeL3ZH5vHog0R1DSo6OtpxQ/z+rTqZ9OcYwmFkjfau5MDbtqocSed3CooVWr+jMxm5ZFk4nLFrl4duYwJPR2ZP8iTwOvYrepjZ8I3s4J57I4yPvs7noPxBWwMTefXsEym93Hl0WHeOFu0b01QqwXC00vYdT6Xvy7kkFNWK/1OV0dGfy9r7uxqx53d7CUhICGvgqkrTpCoKRw9OMiT50d3uSa+hbP7uZNTWsuyg4m8su0Ctqb6V92B3VECnM15Z1IAL2yN4rO9FwlwNmdYl7Y9iy5Hfy8rFHIZqUXVpBdVS/5E8wd5EJpSzO7oXJ5YH86OxYN5fnQXorPLOJpQyCM/hfHnE4MxN9LF1EAck35ggDt7Y/JYcTiJyMwyrXTGZ0f5YW9mwAu/RrF0fwL9PK3ILqvF29b4sqJUc0EKYE/0JbFoyZ2+ZJfWsDVM23/Kzcqoxd95sI9tq6KUlbEeueWX3k+NxarWGOBlzULNfkGtFqR9QnOWjPC97N8ku7SGF389D8AjQ70Z2EpCMoCJvgKbZsXeZQcT6OlirpUA3UhxVT2LN4ZLaYGPD/Pm2bs6/aP+q5RU1fPIz2epaRATix8b5nOzH9INo1OUuo1RqtQ8uyWS2gY1Q/1seeHutmekbxRjezhib6bPw+vCuJBVzsRlx1k9r7fUJdMRaupVFFXVUVxVT1lNA1V1KqrrlVTVq6iqU1Jdp6SmQYVSLaBWC+KpIKDSfA+gK5ejoyNDVy5DRy5HV0eGjlyGro4cY30djPQUl071FBjp62CsOc/CSA9jPZ2b4tniamXEyrkhzPz+NH/H5PHR7jipjbiRe0NcCE8vYcPpdOLzKtixeDDWxvqEphZzLKGAowmFxOVWEJ1dTnR2Od8dTsZIT4eB3tbc0cWOYX62l60YtZfGEb4v9yWwPTK7TVHK2cIQCyNdSqsbSMirpLujGab6CirqlHw7O5iNoekcTSjkq/0JbI/K5v3JPejfDq+pgkrN+J5mkyAIAqlFYpXWy7ZjXVdL7vRlT3SuZBDeiIGunCV3+pJXXsvX+8Ux2f/d3bXNrrC2KK9tkMYWQazEtZVaqWiyYWnqB1HboGL5oSSWHxbFM4VcxkODPVl8p6+WSFDboOKX0HRWHE7W2tyBWFV8YvitsxAKgsCzWyKl2frPpgVpiXSZJdUsXHdWEqz+N+b2jcxtyq9hmTy/NRK1AFODXfi4HQmP14OfTqXxxh8XUAtivPeKOSHtOogsqarn2S3nAHE0p49H25XkTjq53VGpBf6MzGLp/kSpk8hYT4eZfd2YP9iz3WLQtSDA2Zw18/tyJrWYT/bEE5pSzE+n0vjlTDpTg114fJhPq2bNgiB2RP15LpvdF3K11hZjPR1GdrdntL8DQ3xtWqyP2yKyeOm389Q0qLA30+fL6b2kJN5rxbN3+ZFTVsuv4Zk8sSGcnx7qd8M+d+7r7UpEegkbQzNYvDGCP54YdFXj5aYGugS7WRKaWszRxAJmW7sD4l7r42k9icstJ7Womqc3n+OHB/qwdEYvJiw7RlpRNU9timD1A32k9VOhI2eIn22r3kqNacIAdUo196442eIyV8ORiwWca0W4+vpAIscTC9ny6EBpHUsprGxxOaDFnqUtzA11+Xx6IHK5TPTo+eMCfzTpYGrkDj/by6bUqtQCT286R1lNAz1dzHnmMuOfS/cnSh1PU4NdOBifz4Wscu5ZdoyVc3trBQlEZ4v+UZklon/Up9MCGdvpH/WfRalSs+SXCDKKa3CzMuLrmb3+U+Jkpyh1G/PzqTSiMsswM1DwyU06WGmNEHcrtj0+iAfXniExv5JpK06ybFYvRnQVK1aCIFBeoySjpJrMkhoypdMaCipqKaqqp7iqnup61U1+JmK3irmRLpZGulgY6WFppIulkR6WxnrYmOhjb6aPnamBdHotU8pC3K345N6ePPnLOb47koynjXGL7pDXx3fnQlYZUZllPL4+nM2PDOAOP1vu8LMFRBPwE4lFHE0o5EhCAQUVdeyLzZdaon3sTBjmZ8uwLnb/qItqfE9RlBK9sOpb9YSQyWT4O5lxPLGIC1llBDib083RjNDUYmobVKx7sC87onJ4a3sMyQVVzFh5ivt6u/Dy2G6X9ZhojDC20vjaFFTUUadUI5fRatXqchjo6vDxvT25d8VJhCbd7UZ6CqyM9Xjqlwiq6lUEu1kwuZdzh247r7yWB34I1TqvLUEKoGlzvYGu2F1yIqmQl387T6rGAHeQjzVv3eOPT5OOsNoGFRtOp7PicJKUTOhobsDsfm7SmO89gU4deuzXm5VHktkXm4eejpzls0O0WtorahtYsPYshZX1dHM046sZ/41FfOWRJN7fFQeIKXvvTepxw43n1WqBj/bE8Z0mrvi+3i68N7lHu7qdBEHg5d/Pk1deh5etMa+O6369H24nndySqNQCO6Ky+Wp/AsmagoeVsR4Lhngyu5/7TfVY6+NhxaaF/TmVXMzXBxI4kVTEL2cy2BKWycQgJ54YLibLZhRX83tEFr9HZGmN5pnqKxjZ3Z4xAQ4M9bNtYagN4vN/d2cMa46nAuK69dWMXi26Ta4FMpmMD6f2oKiqjkPxBTz44xl+Wdj/qgqjV8Ob9/hzMa+SsLQSFqw7y7YnBl2VV8xgXxtNgbGQ2f3cpfPNDHT5dnYIk789zqH4AmlUcMUccXzwYHwBX+67yDN3dQHEPeDYr45SWHl5c/lG+npYaRXOrobWBKlGwtNL8X55F0Z6OhjrKyjQ7FHawtnCUMtHtTkfTumBo7khgiDw5p/RrNcE0jS/jS+nB112/Vx+KJHTKcUY6emwdEavNj2nfjiWIlkIvDGhO/MHeZJRXM3Cn8KIzSln1venWD47hOFd7bT8o9ytjVh5f2+6OHT6R/2X+WRPPEcTCjHU1WHl3JD/TEhPI52i1G1KVZ2SZQcTAXjh7q633Iicm7URvz42kNmrTnEhq5wHfxTTPfp6WHExv0ISEq6Eno4caxM9zA11MdFXYKSvwFjvUoeToa4OOnLZpS+ZDB0d8RRE/yKlSkClVtOgFruoGlRqGlRqqutVVNepqKpXUt3YfVUvdmOV1yqpV6qpV6kpqKi74sLZiKmBAnuzSyKVo7kBLpZGuFga4mxpiLOFYaubtraYGORMckEVX+1P4NVtF3CzMtJqKTbQ1eHb2cGM//oYUZllvL0jRkqMAzGRblIvZyb1ckYQxCjmQ/EFHIrPJzy9lMT8ShLzK1l1LEXTRWXDsC62DOtiKxlutwcfOxO6O4qJMbsv5LY5WhXgZC6KUtmiUWV3J1GUiskuZ0qwCxMCnRjqa8tHe+LYcDqdzWcz2R+bz2vjuzMxyKnVrrXyWvG9ZGYoftxllIiCjaO54VWNCoW4WzGnnzs/nbpkwFlR28D+2Dy2nctGJoO37gnokECQmF/BAz+c0dpc2ZhcfjFqKorVKdW8sDVSGsm0N9Pn9fH+jO3hIL0mNfUq1p9O47sjydL71cncgMeH+zCttwsH40RDWS8b42vSIXetCE0p5uM98QC8PqG7llFog0rN4+vDicutwMZEn1UP9Nby3bodUasFPvgrlu+PipXYBYM9eXlstxsuSNUpVTy3JYrtkWLV+ZlRfiwe4dPuztE1x1P560IuCrmMr6b3uqaCfSed/Fs4kVTIuztiJV8dCyNdFg714oEBHrfMZ5lMJmOAtzUDvK0JSytm6f5EDl8s4LfwrBYeQSCaYo/2t2d8TyeG+NlctphVXa9kycZzkhfQ4hE+PDXS77oWFnQ1xY0HfgglNLWYuatD2fLogBsSiqGv0GHFnBDuWXaM5IIqntwYwaoH+nT4+Q7xteHzvRc5nliIUqXWGtnu7mQmjQp+vvcivdwsGeRjw4dTe/D0pkiWHkjExEBBblkdPxxPaXHbcpl4GxaGehxPKtTaazQVpK6FQNUW4l77yoXnywlS9/V2YUwPRwRB4K3tMaw9mYZMJopQmSWXrrdiTshlwziOJxbyuaZr7K17/Nv0Nd0Yms7bO8QxwmdH+TF/kJgi62plxNZHB/D4+nAOXyxg/o9nMDNQUF6rBMQuraUzOv2j/utsOJ3Od0fEAt8n03resPTTW4lbY8Xr5JqzNSyTwsp63K2NmN6n7W6LG0mDSk1sTjnnMkqJSC/lXEZpC7PLpgucjYk+LpaGmi8jnC0NcTAzwMpYD2tjPaxN9DDRV9yU8TlBEKhpUFFS3UBJVT2l1Q2UVNeLX1Xi9wWVdeSX15JfUUdeeS21DWoqapVU1FZKfgmtYWsqPm9nC0NJsHKxNMTd2hgXy5ZCylMjfUkprOLPyGwe/TmM3x4fpGVK7WJpxFczejFvTSgbTqcT7GbJvSEtR+jETiVz/J3MeWK4D2XVDRxLLORgfD6HLzZ2UV0yTPexM2FEVztGdrMn2M3iij42EwKdiMkp5/eIrDZFKX9nUXBo9BDo7iR+KDdu2EE0DX1/cg+m9HLmpd/Ok5BfyVObzvFbRBYfTe3RwgOprEYUpRqrzY2bERfLqx+FeHKkr5Yo1aASeGitKKzO6ON6xYSVplzIKmPuD6EUV9XjZWPMslnBjF0qVi7LaxvarKIKTXqlmibUzOnvxgt3d5WuV9ug4udTaaw4nJTS0icAAQAASURBVEyhZpTR2cKQJ4b7cG+Ii1TxO6jxnhqq6aK7FSioqGPRhnBUaoFJQU7M7nfpfSMIAq/8fl6qKv0wr/cNHW+5GTSo1LywNYrfI8QDwZfHdmXh0BvvE5hXXsujP4cRkV6KQi7jo6k9mdrKZ0pbnEgq5L1dYtreS2O7dej/pZNObgeSCyp5f1ectJ6a6itYONSLeYM8Ojz2fSMJdrPk6VF+5JXXSn5XTZkY5MR7k3u0y08uv6KWB388w4WscvQUcr64L+iyCb3XEkM9HVbN683MlaeIzi5nzqrTbH1sYIe7p68GW1N9Vt7fm3tXiJ1Ln+yJ539jOmav0dPFQhI2orLKtEbCQBwVPJtazOazmSzZGMHOJUMY4ntpbW/ssm3EyliPWX3d6ONpRbCbhdZ7ML2omqGfHGz5PMyub0hOI3KZaIh+OfR05Hx2XyCLN0ZI540JEAWpd3bESsE/z93VhU80RS6Az6YFXnb9ySmrYcnGCNSCaInR2t4ZxFH6l39v9JvyYtEIbfsDY30Fqx7ozQM/hHIiqUgSpG6ECNvJrc+BuDxe3Sa+f56805fxPW+taYUbRacodRsiCAIbQ8UW1fkDPW6acawgCCQVVHI0oZBjCYWcSi6iqpXKh4uldtUCYNeSIZIgcSsik8kw0lNgpKdo14GwIAhU1CnJL68lr7yO/IpacsvqyCmrIUszmphZUk1VvUrqvIpIL21xOwq5DBdLQzxtjPGwMcZT87XkTl/Si6s5l1HKQ2vP8NtjA7VS9e7ws+WpO/34Yt9FXvn9PN0dza74+pob6TKupyPjejqiVotdVIcvFnAwLp/w9BKpi2rlkWQsjXQZ3tWOUd3sGeJn2+qGdGKQEx/vieN0SjEZxdWtduMEaB5TbE45DSo13TUx19HZ5QiCoCVA9vawYueSIaw8ksTSA4kcuVjAXV8c4fXx3bk3xAWZTKYZBdV0Smk2WRmaFLqOdHo1p1HAaY3nNG3x7SEsrYR5a0KpqFXSw9mctQ/2xUoz+llYWUdqYRU9XSxavW5OqbangretMR9O7Sn5Y6jUAr+GZ/Ll3otkawxmXSwNWTTchynBLlrt52q1IBmij7xBxq9XQqUWWLIxgvyKOnztTHhvcg+tv/+yA4lsPpuJXAbLZvVq83W6XaiqU/LY+nCOXCxAIZfx8b092/Rnu56Ep5fw6E9h5FfUYW6oy7ezgxnUhuFra2SWVLNoQwQqtcDkXs482Jm218l/iIraBr7Ym8C6k6ko1QI6chmz+7nx5J2+1z0J959QWadkW0QWG06naxWJmvPHuWzicyt4eIgXEwKd2hxzyimrYdb3p0kprMLKWI/v5/a+4QlTZga6rH2wL/etOElyYRVzVp9m8yMDrsvYYHN6uJjzscZ+YcXhJLo5mjIxqP0j/zpyGYN9bdh1PpejFwtbiFIAb08MIDKjjPi8Cvp/sL/N29ry6IDL+mqphdYVoZ1ROe1+vE2xMdHjieE+lzUnb8r0Pm6EphS18PJsir5CzndHkrTOe+TnMJwtDKXi94dTevD1gUSty1yumFKvFDuxi6rq6e5oxruTAlotgm+PzOb5rZEIAswb6MH/xnRt9XLhaSVczNMWchunODr57xKVWcoT60Xhc1qIC0+NvPpkzn87naLUbUhKYRVxuRXo6ciZ3OvGHrSo1AJhaSXsOp/D39G50sFwI2YGCnq5WRLkakEvNwuCXC2kmdmwtBIe+1k82Jn+3Um+nBF0w5JRrjcymQwzA13MDHS1/H2aIggCZTUNLXy0Gn9OK6qmpkFFalG16BkUX9Dq7aQVVRPy7j7emRRAT2dzfOxMMNZXsHiEDxEZJRyKL+Cx9ZdSWNqDXC4jwNmcAOdLXVRHEgo4EJfPgbh8SqobpFZ+PR05A7ytGdndnpHd7KTOJScLQwZ6W3M8sYhtEVksbsVU0sPaWKr+xeaU09XBDD2FnLKaBlKLqvFs1jatp5CzaIQvdwc48tyWSM5llPL81ih2X8jl/Sk9MNZXSBU2M8NGUUoUQF2trq4iqlYLrDic1Obv23tgcSKpkAVrz1Jdr6KPhyWr5/WRhDNPGyMKK+tIaUWUEgSBrWGZbDp7yZjU2cKQXU8OQV+hgyAI7I3J45M98SRoOvIczAx4aqQvU0NcWhWpIzNLKaysw1RfcdnY4hvJF3svcjK5CCM9HZbPCdYaZfk1LFMyYX17YsBt8znRFtmlNTy09iyxOeUY6urw7Zxghl9lctM/YdOZdF7bFk29So2fvQnfz+2Nu3X7wwJKq+uZt+YMxVX1BDib8cGUHjel07WTTm4Guy/k8uaf0ZJJ84iudrw8tmube4JbgdTCKtYcT2FrWKZUVNRTyBnXw5FZ/dzo7W6JTCYjo7iaNcdT+eVMOnG5FTy7JZJP9sQzf5AHMzTJy41kFFcza9UpMoprcLYwZMPD/Tr0OXItsTHR56cF/Zi2/ATJBVU88EMoGxf2vyqfp44yMciZ2JwKVhxO4oWtUXhYG3coWXGIr60oSiUU8GSzA9nKOiWbz2QQ30wECXS10ErHc7E0bFXQaiQqs5T5a85onedqZaiV1NtRCivr0dWRc+zF4Uz4+hglV7DraCyyX46KOqVWSl9XB1PiciskQeq9yQFU16u0xv2mBF9eBHx3ZwwR6aWYGShYMSekVWuN3RdyeWrTOdSCmDD+xoTuLdY0QRBYfSyFD/6KQ6UW6OpgSqCLBZvOZvDlvgQEAZ6+jHF6J7cvSQWVPPjjGSlp7/3/+J6oU5S6DWmMku/tYXnDZpQvZJWx+WwGu87nSiNCIG5e+npYMcjHhiG+NnR3NGvT+yTE3ZIdiwfz+PpwzqaV8NDaszxyhxfP3dXlPxETLpPJsDDSw8JIjwDnlu3EgiCQV15HcmElqYXVpBZVkVxQRWpRFelF1dSr1FqXf23bBel7ZwtDfO1NpAS6tKJqHlp7hk2PDLiqKo25kS4TAp2YEOiEUqXmbFoJ+2Ly2BubR1pRNYcvFnD4YgGvbYMAZzNGdrNnTIAjk3u5cDyxiN8isljUiv+MXC4j2N2SQ/EFhKeV0NPFgh7O5oSllXAuo6SFKNWIj50JWx8dwPdHU/hi70X2x+Vz1xdHeOQOMQZYTyGXNhSZpf+sU+rvmDySCqowM1Cw6oE+3PeddiJNfkUtdqaX93A7mVTE/DVnqFOqGexjw8q5IRjpXfo49rQx5kxqCamF1VrXK6ys46XfzrM3Jk/r/NcndEdfoUNoSjEf7Y4jLK0EEEcWnxjuzdwBHpf1KtuvMbYf2sW2zcr2jeRAXJ7kiffh1J5aB20nEgt58dcoAB65w4s5/d1bvY3bhajMUhasPUt+RR02JmJHQa/LHERcD+qUKt7dESuNrI72t+ez+4LaNaLTSE29iofWniUxvxIHMwNW3t+7Q/55nXTybyW7tIY3/oyWPrfdrIx4Z1KAFDhyqyEIAqeSi1l9LIX9cXmSp5CXjTGz+rkxNdilhQePq5URr0/ozpN3+vLz6TR+PJFKbnktH/wVx1f7E5jcy5l5Az0w0lcwY+UpskprcLc2YsPD/W/62LWzhSE/L+jHtBUnic4uZ8GPZ/nxwT5aa/L14vnRXbiYV8GBuHweWnuG3x8f1G5Px8GaDtWIjFLKahowN9Qlt6yWH46nsPF0OhV1ypZXatb1lFlSw8etpDeDmJL36M9hVNer8Hcy494QF97aHiMJUj2czfGwMZZ8Ba9Eo1AE8Oq2C4S/NooT/7uT57dGsuMqu64Avp0dzOPrw7XOaz5amlpYJfkwNuJ2mdf517BMyRbhyxlBrSZNHojLY/FG0V5garAL77XSSVVVp+SFX6OkrrJJQU68P6UHRnoKPG2N+VDz/yEAT4/0/U8LEv810ouqmf39aQor6/F3MuPb2cH/iWPdy9EpSt2GNFZB+ntd2yjd5lTUNvB7RBa/hGZotXObGigY1c2eMT0cGeJr06EDDzszAzY83J/3d4kz4N8dTiY0pZivZ/b6R+NWtwMymQwHcwMczA0Y2MxGRqUWyC6tIaWwis1nM1os8FmlNS0MIc+mleD98i6G+Nrga2eKn70JXR3N6GJv2iHTYYWOnP5e1vT3suaVcd1IKqhkb0w++2PzCEsv4UJWOReyyvlyXwIOGsP9lMIqwtNLW23XD3YTRamw9FLmDYIgVwvC0kqISC+9bOefQkfOY8O8ubObHc9ujuR8Vhkf7xa9A4QmG7H8clE0dbgK839BEFh+SBRL5g7woJtjywr3ikPJvD6h7SSxs6nFPLRWFKSGd7FleSsVuEYjzaZxyH9H5/LSb+cpqqpHV0dGg+rScyqraeDhdWelgx4DXTkPDvLkkTu825Xc1OhrMrLbje++aU5mSTVPb4oEYO4Ad60kwPjcCh75OQylWmB8T0deHN0xH45/G7sv5PDUpnPUNqjpYm/K6nm9b/jnYHpRNU9sCOd8lhg+8MwoPxYN9+mQsbpSpWbxxgjC0kowM1Cw7qG+N8S7pZNObiaNXa1vbY+hsk6JQi7jkTu8WDzC95YUZJUqNTvP57DySDLR2Zf2dMO72PLQYC8G+Vhf8aDZ3EiXJ4b7sGCIJ39EZLPqWDIX8ypZfzpdK/nMw9qIXxYOwMH81gjh8bI1Ye2DfZn5/SlCU4t5eN1ZVj/Q57r/nXTkMpbO7MW0FSeJzSln3ppQfntsULsKyq5WRnjbGpNUUMXmMxlkllSzMTRDKlB62Rrz0GBPpvRy4ccTqXy0O47ITPFz/NlRfrjbGLNkYwTfHUnG195Uyy/pj3NZPLs5EqVaYJCPNSvmhGCoq6M1crf+4X4o5LJ2i1Kf3RfI39F5fLU/AYDgd/Zy4n8j+HpmL7o5mml5PbUHXzsTEvIreXFr1BUv21SQsjXVp6Cirs21NDSlmP/9Jt7mkhE+UjJ4U0TBLpwGlcCEQCc+vrdnizUxqaCSR38KIyG/EoVcxmvjuzN3gLv0P/ToHd7IZaK/19L9CSAIPD3Kr1OY+g+QXVrDrFWnyC2vxdfOhHUP9r2lvQRvFJ2i1G1IUoF4IOtnf31awvPKxUrMhlOXKjF6OnLu8rdnaogLg7xt/lG3hZ5Czpv3+NPP04oXfo0iIr2UcUuP8cm9PbnL3+FaPY3bCh25DFcrI1ytjBjqZ8vdAdks2iAaPi4a7sMdXWxJyKskIb+ChLxKjiUWStc9mlAoddeBaCrpYWNMNwczujma0tXBjG5OZjiZG1xxsZTJZPjYmeJjZ8pjw7wprKzjYFw+e6JzOZJQKI0tAExdfoLHhnkzNsCRAGcz6bYbW8nDNd0+QZp29tY8tlrDz96U3x4fyLcHk6Ro3gaVQHh6CcFulhRVidHHNqYdj1o9mVxEZGYZ+go58wZ5sPpYy+SajaHpLLnTp9Uo13MZpcxbc4bqehWDfWxaFaTgUgUvs6SGyjolb/0ZzZYwMVmvi70pn08P5OdT6VJb+wuaTZmOXMZ9vV15aqRvuxM3M4qricutQEcuuykjYU2pbVDxxPpwymoaCHQx55Vxl6q3eeW1zNf4b/X1sOLTaYE3PHHuRiEIAssPJ0mi6rAutnw9s9cN37T8dT6HF7ZGUVGnxMJIl8+mBXZ4VFKpUvP05kj2xeahr5Czel6f67Y2ddLJrUJRZR0v/36ePdGi4B/sZsGHU3veku/9BpWa3yOy+PZgomgNgFjYmBrswvxBnlrBKe1FX6HDfX1cmdbbhZPJRaw4nMyRi5csBzJKath2LosZfVxvmdjzAGdzfpzfl7mrT3M8sYiFP4Wx8v7W1+hriYm+gjXz+jD52+MkFVSx8KezrHuo72VTCxsJdLUgqaBKCo4AMRXv0WFeDPOzk9bI+YM8+Gj3JXPziUHOuFkbkZBXwdcHEnn5t/N42hgR4m7F5jMZvPhbFIIA9wQ68em0QPQUcko0e6dGDBQ6fLa3/ULS4o0RbF80mPyKOmnvMvDDA2x4uB9PDPfBxkSPF3893+7bG+3vQEJ+YusdYZfBQFc8Pmkt7Ca1sIpHfjpLg0pgbA8HnhrZcqzuZFIRC386S71SzWh/ez6/L7DFxMHuCzk8tyWKyjol9mb6fDs7mBD3ltYIC4d6I5fJeHdnLEsPJIJMxjOdo3y3NfnltcxedZrMkho8rI1Yv6DfLe0neCPpFKVuQxoP/P9Julhr5JfX8uX+BLaczZC6NLxtjZndz53JvZwvG6l6NYzp4UiAszmLNkYQmVHKwp/CmDfQg5fGdm3XYv1fZnxPJ3JKa3lvVyzLDibSzdGMWf20E+9e3Bol+RIN8RXbwGNzyimsrCe5QBwN3Hn+UseVmYGCro5mdHc0o6uDKd0czejiYHrZDZuNiT7TersyrbcrFbUNHIjL59VtF6jQJI8sP5TE8kNJuFgack+gE1OCnQl0NUcuE7u78spr6eVmIT222gZVuzaIujpynhzpi7G+Du/uFDdr01ac5Mk7fSluFKWuYhFYd0Js557W2wUDXR1+0IhS7tZGpGk28zWatLtFI7Q9HmKyy5m7+jSVdUr6eVrx/dy2x5cau7jOppUwfulRUouqkclg4RAvnrnLDz0dOZvOaPssDPax4Y0J3fHt4EHPfk2XVG93y5t+cPDmn9FEZpZhbqjLslnB0v95ZZ2SB388Q3ZZLV62xqyce/0PFG4WNfUqXv79vJSwN2+gB6+O63bFdMtrSZ1Sxfs7Y1mrGV8IdrNg2azgDnc3NQpS2yOzUchlLJsVfFlD3U46uR04FJ/Pc1uiKKysQ1dHxtOj/HhkqPctZ2hcp1Sx+WwmKw4lSZ3Ulka6PDjIkzn93a/Jnk4mkzHAy1paOxtRqQU+/CuOL/ZeZEKgEzP7uhLsZnnTu0RC3C1ZM78vD/wQypGLBTyxPpzlc0Ku+1i7g7kBP8zrw7QVJzmdUsyLW6P4YnpQm69HTb2KVUeT+S08S+uxP3uXHwO8Wna0NXYnNbLwp7P89vhAnh7pR0JeJbujc3nkpzDu6+3Kt4dEz8zZ/dx4Z2KAJGxtaObt9P6uWK0UYpkMvprRiyVNEvCaklxQxet/RPPptJ78HZ0rFQjnrDrNy2O7dahDH5BG/JujI5fx+X2BTAxy5qlfIth2TruTq3H8sLnYWlbdwIM/nqGkWiyKfTYtqEXhKyxN7HSvbVAzoqsdX8/UHrlSqtR8+vdFyXe0r6cVy2b1uqylw4Ihos3EuztjWbo/ATMDhXReJ7cXmSXVzFl1mtSiapwtDFn/cH/srmJq43alU5S6DamqE80oO+L3cTkq65SsOJTE6mMp1DSIt93Hw5JHhnozoqvdde1WcLUyYssjA/hkTxzfH03hxxOpnEou4ssZQXR1uHXT+W4FFgzxJLOkmrUn03h68znszPS1DgjfmxxAZmk1xxOLSC+ulozPCyrqiM0pJzannLjcCmJzyknMr6S8VkloSjGhKcXSbSjkMnztTenhbEYPjRF6N0ezVgUDUwNdJgY5M76nE73e/pvyWiUymVhtyyyp4dtDSXx7KIkezuaSOXl4Wgl3BzhIaXQXssro3YGD2qbeXCq1wOcac2wAyw4KMDllNezVCDhzB3iw4XQa5bVKvGyN+f2xQQz/7JAkeP14IpUFQ7yk1yG7tIb5P4ZSXqskxN2SH+b1uewGrGmXU2pRNU7mBnwxPYh+XtbE51bw2rYLWhHJX04PYmKQ01Vt6PfF3hqpextD0/nlTAYyGXw9s5fkq6FUqXlifTjR2eXYmOjx47y+N108u15kFFfz6M9hRGeXoyOX8caE7swd4HFDH0NSQSVP/hIhmcZera+fUqXmqU3n2BGVg66OjG9mBTOq++1tSN/JfxuVWuCrfRfFjgfE8aIvpge16hF5M1GpBX4Lz+TLfQmSGGVjos/CoZ7M7ueuFSpxLVh+OInd0bno6cjZ8HA/ApzN+fNcNj+eSCUmp5ytYZlsDcvEz96EGX3cmBLsfFM/4/t6WrF6Xm/mrznD/rh8Fm8MZ9ms6+/30s3RjOVzgpm/5gzbzmXjZGHIC3drj6g3/u0+/TuevPI6rd89P7pLq7YdF7LKWHkkGYC37vHn6wOJxOVW8NyWSL6ZFczn0wNJW15NbE65JEjNH+TB6+MvmXar1QI/awQofyczorPL+fFEqtb9LBnhi94VXqNfwzMZ6G3N1zN7MWvVafG2BaTiIcC4no4cvVhAeW3HOqBAnNr4elYvRvs7cCq5qIUg1ZS/o/OY0ccVuVxGvVLNoz+HkVxYhbOFId8/0LvFHi0yo5R5P4id7kN8bfh2drCWWFlYWceSjRGcSCoC4OEhnrxwd9d2vW8WDPGiTqnmkz3xvLszFjMDXe7r49rh59/JrUtKYRWzvz9FdlktLpaGbFhw8/30bjU6RanbkMb41mtRcNobk8dr2y5I3VfBbha8eHdX+l1nv6qm6CnkvDKuO/29rHlhaxRxuRXc8/Vxnh/dhYcGe962Izz/FJlMxusT/Mkpq+XvmDweXneWXx8biLetWB1S6MhZNjOYCcuOkVZUzeJfIlgzrw+2pvrYmtoytIkJa51SRVJ+lUaoKic2p4KYnHKKq+olAWvzWXG8rLlQ1cPFgq5NOqp05DJm93dn+aEk7vCzZfnsEPbH5bEtIotD8QWSdw3AY+vD+WpGEN0cTTmaUEdEemmHRKl6peit0NXBlAcHe0pjbgBxueX4O7X/YGFjaAYqtUA/TyvcrIwkj4LH7vDG3EiXx4d5Sxurwsp6fgvPYlY/N8pqGpi3JpS88jp87Uz4YV6fy276K2obeGfHJd+GXm4WrNGIWJ//Hc/yw0laflLAVQtSpdX1nEoWN1B33kQ/qYj0Et74IxqA5+7qIr33BEHgtT+iOXyxAANdOasf6NOq4ejtwPHEQhZtCKekugFrYz2WzQpmgPeN+5wVBIGfTqXx/q5YahvUWBjp8vl9ga36aVyJ2gYVSzZG8HdMHro6Mr6dHdIpSHVyW1NcVc+Tv0RIo/Cz+7nx2vjut1RHpyAI/B2Tx6dNklntzfR57A5vZvR1uy6P9cjFAj7VeAW9NdFfWr8bR/vC00vYGJrBjqhsLuZV8vaOGD7cHcfYAAdm9HWjn6fVTemeGuhtw/dze7Ng3Vn2ROfx1KZzfDU96Lp3rA7xteX9yT144dcovj2UhKWRHg8PFbtmTicX8eb2GGI1Hq4uloa8eHdX9sfmse1cNvtj81qIUiq1wAtbo1CpBcb1dOSBgR74O5kx8/tT7Dqfy9L9iTw50pc+HpbS7QK8Nk47Re5UShE5ZbWYGSjYsKA/gW//rXU/wW4WTO/jysAPD1zxOT67JZJdS4YwxNdGyzqikVfGdqNkmDfjlh5r/wun4fsHenOHny1JBZXMWHlKOn//s3fgZWOM50u7pPNe/v08m86k8/6UHqw+lsLJ5CKM9XRY9UDvFp1N0dll3L/6NBWaTvfmQR1nU4tZvDGCnLJajPR0+OTeQMb1dOzQY398mDdlNQ2sPJLM/36LwtRAwZgeHbuNTm5N4nMrmL3qNIWVdXjZGrN+QT8pmbyTS8gEoVkUQyfXnPLycszNzSkrK8PM7Pp39/R9bx/5FXXsWDz4qit0pdX1vPL7BWl8y83KiJfHdmO0v/1Nba8uqKjjf79GsT9O7O7o72XFZ/cFdarNl6GmXsXM709xLqMUVytDfntsELaml0bXYrLLmbL8OLUNah4b5s2Ld7fPPFoQBHLKaonKLONCVhnns8TToma+AwC6OjICnM0JdrMkxN0Sa2M9pq88hUwGR54fLnXFFFXWsSMqhzf+jG71Pr1tjdn/7LB2P/dD8fnMW3OG7o5m7HpyCKuOJkvCkb5CzgdTejAluG3z9EYaVGoGfniAgoo6ls3qRWl1A69uu4CzhSGHnh+Gro6c6nolgz48IMUbe9kYs+vJIcxfc4aTyUXYmerz+xODLvteTSqo5OG1Z0nWxBgD7Fg8mNoGFS/+GkVSgXj+qO72Wgl8qR+Oa/dr0pTNZzN4YWsUXR1M2f3U0Ku6jX9KQUUdE74+Rm55LaP97VkxJ0T6jPlqXwJf7LuIXAbf3d/7ugobgiBQr1JTW6+mpkElftWLp7WaL6VaQKkSUKrVKFUCKrVAg+Z7pVpApVYjQ4ZMJorCchnIEFMlZTIZMkTRVl9Xjr5CBwPN6bqTqZL3jLWxHusf7oevnekNG/fJK6/l+a1RkufLEF8bPr6351VtmsqqRdP90NRi9HTkfDs7mJG3gSB1o9fxTi5xq7/2cbnlPPTjWbJKazDQlfP+5PatKzeSiPQS3t4RI3kztjeZ9Z9QVFnH6C+PUFhZz4w+rnw4tWebly2vbeCPiCw2NgvO8bI1ZkYfVyb1cr5iqu314GBcPgs1HkOTgpz47L6gG/K5/O2hRMlT8PnRXUgqqJRG9UwNFCwe4cMDAz3QV+iwI0r0EPWyNeZAs/3RxtB0XvrtPGYGCvY/O0za+/0Sms7/fhP9mxoNw5vyxHBvnm8SJPL6HxdYdzKNGX1ceXqUH/3e3y/9TkcuY+/TQ3npt/OcbtJJfyUeHuLZIhEPxDTE/l7W/BqeKZ1nrKdDVb3qsre3fHYwY3o4UlBRR5/39knnv3WPPw8M9ADg491xUjdYa6yZ14fhXbULdPG5FcxYeZKS6gZC3C1Z92BfqbAoCALfH03mo93xqNSCaC9wf4hWYnBHEASBl347zy9nMtDTkbN6Xm+G+N6aKZ2dtI+zqcUsWHeW0uoGujqY8vOCfldlH/Jvpr1reKcodQO40RuqMV8dJTannFVze1/VwUBYWglLNkaQVVqDjlzGw0O8ePJO3w7Pe18vBEHglzMZvLMjhup6Fab6Ct6e5M+kIOeb7kdwq1JUWceU5SdIK6qmp4s5vyzsrxV3/GdktuQD8M2s4A5XeBoRBIHsslrONxGqzmeVSWNtrWGqr2Djwv50czSTNnsZxdUM+fggIHpcNAo9IJp4zhngzmh/+yt6ix1LKGTO6tOS6LIvJo8F685qXWb+IA9eHdf9shvNnVE5PLEhHFtTfY6+MJxRXxwmo7hGa7MD8M3BRK0EGStjPYqr6jHW02HzowMu25l1MD6fJRsiqKhT4mRuQHaZ2J3oZWMsiVQ2Jvq8PdGfMQEOWhW/qxWlHvghlMMXC3juLr8WHlg3ggaVmjmrTnM6pRhvW2O2PTFIMvPecDqdl38XN83vTPTn/suMsQmCQE2DiuKqekqqGiivbaCitoHyWiUVtUrKaxqoqFVSUSueltde+rmyThScahpUqNS31nJoqq/AzFAXUwMFZga6mBkqsDTSw9ZUHxsTfWxM9bE10cfWVA9bEwPMDBUd/gzcdT6Hl38/T2l1A/oKOS+N6crcAR5X1YGaU1bDAz+EcjGvElN9Bd8/0Pu6p8DeKG51YeR25lZ+7Q9rfIcq65R4WBuxfE4I3RxvnceYX1HLx7vj2aoJyjDU1eGhwZ48PNSrXcmsV4sgCDy+Ppy/LuTiZ2/Cn4sGt0v8EgSB81llbAxN589z2ZIQoSOXMdTXhqkhLozsZn9DO9D+js7l8fXhKNUC94a48PHUlklr14P3d8VKY3cgTj/M7OvG83d10fL7Kq9tIOSdvTSoBPY+PVTylayobWD4p4corKzntfHdeWiw52Vv//nRXXAwM+DZLWL67cdTe0ojZCM+O0RyQRXf3R/Cn+eytfxGrYz1mNXXrU2Pp/aipyPH0cJA8ufsKAq5jEPPD+P+1aGkaPZMfT2t2LSwv7QuPvjjGQ7E5TPYx0Yr8KeRdQ/21ZoSiMstZ9b3pymuqifQxZyfFvTDTLNHKa2u57ktkZIFwsQgJ96f3OMfj7+q1AJLNkaw83wOhro6bHqkPz1dLP7RbXZyc9gRlc0zmyOpV6oJcrXgx/l9blv7icvR3jW8c3zvNsTHzkT0ASqoZCQdE6U2nE7n9T8uoFQLeFgbsWxW8C3nhyCTyZjZ140BXtY8vfkcEemlPL0pkl3nc3lvUkCnaVwrWJvo8+P8vkz59jhRmWUs3hDBd/eHSK3o9wQ6Sb4Dz22JxMvW+Ko21jKZDGcLQ5wtDLk7QExKFASB9OJqwtNLCEsrITytlLjccskTqaJOyfivj2FuqEt/LysGetswyMcaZwtDskpr+Oy+QFRqeFgjJoWmFhOaWoy1sR4z+7oxd6B7mxVUuabTvlFsqKoXPQr6e1nR38uaL/clsOZ4KhnFNSydGaQl1DVlS5hoCD+9tysH4/LJKK7B2liP+3prz/zfP8CdFYeTJCP34qp6dOQyvp0T0qYgJQgCK48k8+HuOARB9GtbPieEOz4+SFW9ShKk7uvtwitju7eIiu5ylWlOpdX1HNdsysbepBbxD3bFcTqlGBN9Bd/d31sSpP7SCCUgjgVYGOmx7mSqRnSqp7i6QTytqqekWjyt04xqXgt05DKMdHUw0NPBUFf80teVo5DLUOg0O5XLUOjIUMjlkrCpFgTUgvi3FQQQEFCrxfNVaoE6pZrIjNIWqUEWRrpU16uksdOKOmWHkoWM9XRwtjTExdIIZwtDXDTfu1sb4WVrrPX+Lq6q5+3t0ZLnhr+TGV9OD+qwUX4jcbnlPLhGNKO3M9Vn7YN9b6mD8046udZsOJ3Oa39ckMa6v7s/5JY54KhXqll7IpWv9idQqfkMmRrswot3d7khe6QdUTn8dSEXhVzG5/cFtVtEkslk9HSxoKeLBa+M686OyGw2nc0gIr2Ug/EFHIwvwNRAwfieTtwb4nxDzNHv8nfg65m9WLQxQhL3Ppra87p2TMXllrfoOlo03Idn7+rS4rJmBroM8bXlQFw+26NyeGaU+Bm+/FAShZX1eNoYc39/9xbXax6GdFd3e3ztTUkurOSbg0m8/Pt5HC0M8LY1IbmgCrlMHM1uKkiBuJb8U0EK4MHBnqjU6hbdU1seHcDc1aGSp21bKNUCgz86qHXe93N7S+8PQRA4l1EKwLN3+VGvUmt5pALM/SGUGX1ceWVcNzKKa5i96hQl1Q30cDZn7YN9JUEqIr2ERRvE4r2eQs6bE/yZ2df1mrwXdeQyvpgeRHltA0cTCnnwxzP89tig29a64HZEEAS+O5LMh3+JiZejutuzdEavW6a541alU5S6DenqYMr2SIjKLG33dQRBNIH+WmPQOb6nIx9M6XHDI8g7goeNMVseGcDyQ0ksPZDA3pg8TicX8dr47twb4tLZNdUMTxtjVj3Qh1nfn2K/JgXvgyk9pNfphdFdiMku51hiIQt/Osv2RYOvyQZbJpPhbm2Mu7Uxk3uJIw2VdUrOphYzb80Z6XJlNQ3sic6TxpgaeW5LFH8/PZRhXWw5FF+Aqb4CY30FueW1LDuYyMojyUzu5cyCIZ4tDqgVGlWqUZSqrm8MAdDlqZF++Nmb8vSmc+yLzWP6d6dYPa+ll0BBRZ3kezAl2FkSS2b2dWuxwJgZ6DJ/oIdkdAvw8BAv7vBrvf26tkHFS79dSlqb2deVNyb48+OJVK1W9ebVuwbVJQGmm+PViQh/R+ehVAt0czTDy7bjkd8dRRAEKuuU5FfUUVBRx6qjKezTGMfLgLe2R1NQUUdcboXW9cLTSwlPbz3Npzl6CjmWRrqYG+piaiB2GDWemkmn4nlmhuKpsZ4CIz0dDBu/dHWuq6FtY6fnmVRxM+xgZsCyWb20vNLqlCqtDq/y2gbKa8TToso6CivrKaioo6CyjkLNaUWtkqp6FRfzKrmYV9nqfTtbGOJla0xcbgUFFZdMchcN92HJnb5XnTC1JzqXpzedo7pehZetMese7IuLZecGupPbl6ZdsVN6OfPB1B63TCpwWFoxL/56nkTNSFagizlv3uNPLzfLG3L/VXVK3t0p+iIuGuFz1YVNE30FM/q6MaOvG8ma8bXfI7LIKq1hY2g6G0PT8bA2YkqwC5N7OUs2ANeDMT0c+VIt8NSmc2wNyxRT1qYFXnOPqQaVmhWaPW2DSsBIT0fat6w4nESAszmj/R1aXG98T0cOxOWzMyqbp0f6UlBZxw/HRXHnpTFdW3y2bz6bwet/aNskzFtzht+fGMhzd3Uhs6SGP85l8/jP4czoKxbffO1MpZHC1pjdz431p9Nb/Z2ujqyFF2ZzGhPrmrPuZBrvTQ7gmc2Rl71+c7YvGqzVDZheXE1xVT16OnLC0kpaCFKN/HImg1/OZEg/B7qYs+6hfpgb6iIIAj+eSOX9XbE0qK5f8V5PIWf5nBDuW3GSmJxyHlgTyq+PDcTqGqecd3LtaVCpeWt7ND+fEv8X5g304LXxl5/G6ESkU5S6DenvJR7cnEgqQq0WrthmLAgC7+2MZZUm3v7JO315aqTvv0LUUejIWXynL6P87XlhaxRRmWU8vzWKHVE5vD+lR6fXVDNC3C1ZOrMXj/0cxi9nMrA11ZcqbwodOV/P7MU93xwjo7iGxRsj+HF+3+vyQWqir2BYFzsevcObFYeTGOJrwzOj/DiRVMSJpELOppZInS/FVfX0eW8fjYPGFsa6HHx2GPti8/j+aAphaSVsOpvBprMZDO9iy6IRPoS4i/8DjY9d2dgppakYG+uLBw9jezhib2bAw+vOcj6rjMnfnGDN/D74NRG3dkRlo1ILBLpaoFQLnEouRkcuY1Y/t1af213+DlqilJ5O669fWU0DC9ed5XRKsZS0NrKbPfPWhHIq+dJm6bFh3lqCFEBJk3HIrlfZjbJDU+0cf5Wjmk0RBIGiqnpySmvJLqshp7SGnLJasstqySmtIa+iloKKOmobWu9mqqhTtmp4amWsh62JPpbGulgZ62FppKd1amGkfb6Rns4t/blVWafkld/P84emO2l4F1s+uy+oxUZTX6GDvolOh3wHahtUZJXWkFlSQ1ZJDVml1WSWiD+nFFZRXFVPVmmNlLbVlN3RuWSV1uDvZEaAszk9Xczb7BpsiiAILDuQyGeaVMuB3tZ8Myv4mkTJd3J9+Oabb/jkk0/Izc0lMDCQr7/+mr59+7Z5+S1btvDaa6+RmpqKr68vH330EWPHjpV+LwgCb7zxBt9//z2lpaUMGjSI5cuX4+t7aRy4uLiYxYsXs337duRyOVOnTuWrr77CxOT6i+HXmuYFvMUjfHhmlN8t8blTVafkkz3xrD2ZiiCAjYkeL9zdlXuDXW5oIMyyg4nkldfhZmXEo3d4X5Pb9LI14bnRXXhmlB+nUor4NSyLvy7kkFpUzed7L/L53ov0crNgQk8nxvd0vC7dYBMCndCRy1iyMYJt57JRqgW+mB50zYoYsTnlPLclkuhs0VNrZDd73pscgJWxHk9rkkyfWB/O1zN7tTDAHtXdHj2FnKSCKuJyK/g1LJPaBnFkqLkX4x/nsnjxVzH05cFBniwa4cPU5SdIKaziwR/PsPHh/nx8b09yy2o5nVIsdS7F52kXjCyMdCltYq2w5E7fNkWpiUHOUpdZe5kW4sLvEVlsj8xme2TbKXpt0d1Je2/U6KdWr1JL3qKLR/gwyMeG+WvOUNOgwlBXp0VH1up5fTA31KW8toEXt0bx14VcAMb2cODDqT2l7qlrjYm+gh/n92Hyt+LfZsHaM6xf0L+z2+YWprCyjifWh3M6pRiZTAwMeLDZ2GwnbdPpKXUDuNF+CA0qNcFv76WiTsnmRwbQ1/PyaWWNZsIA700OYHa/lm2+/waUKrHt94t9F6lXqjHRV/DS2K7M7OPWmdDXjKZ+Pc19kZoanz88xJNXxnW/bo8jtbCKYZ8eamF4XtugYk90Lk/+cq7V6zWOB04IdBLbvY+ksCcmVxKuhvrZ8vRIX+QyGRO/OY6TuQEnXrqTpfsT+HzvRWb2deWDKZdMV9OKqpi/5gzJhVWY6itYPa+P9H8zcdkxIjPLeHNCdxILKvn5VDp3+zuw4v6QFo9LqVIzfeUpwtJKtB7r0ReGa70Hc8tqeeCHUOLzKjDRV7BiTggCoo9ASXUDRno6CALUNKhYPKJly35Mdjljlx4FYOX9IdzVSuX0cpRU1dP7vX2o1AIHnxuGp43xZS8vCALFVfWkFlWTXlxFamE1GSXVl0Soslpp5KyjzBvogb2ZAQ0qNZ9rxA0PayN2LhlyzaPJbyYx2eUs2hBOcmEVOnIZz4/uwsIhXjfks0kQBFYcTuaj3XFa5zf3a2tEIZfh72xOXw9L+nhY0cfDqoXQVFWn5IVfo9gZJYqb8wZ68Mq4btc9Nv1mcSv7GrWXTZs2MXfuXFasWEG/fv348ssv2bJlC/Hx8djZtUzfPHHiBEOHDuWDDz5g/PjxbNiwgY8++ojw8HACAgIA+Oijj/jggw9Yu3Ytnp6evPbaa5w/f56YmBgMDERhYMyYMeTk5PDdd9/R0NDA/Pnz6dOnDxs2bGjX475VXntBEPjwrzi+0/jw/G9M12smuvxTjlws4KXfzkui87QQF14Z1+2GjxPmltUy9OOD1KvUfD/3+oZTVNcr2X0hl1/DMzmRVCSt/zIZ9Pe0ZkKgE2MCHK65SL4nOpdFG8JpUAmMCXDgqxm9rrrLFMQ9+7cHk1h2UOyOsjDS5a17/Lkn8FKqrlKl5tktkfxxLhsduYylM3q18P5cuO4sf8fkMb23K39EZlHboObH+X0Y1uXS//a+mDwe+TkMlVpgVj833psUgEwmI7WwiinLT1BcVU9/Lyt+nN+XugY1U5YflwJWmtNclHposCerj7U0Lgf4bFogXx9IILUDflEbH+6PIAjM+/FMm/uLeQM9+PFEaqu/WzjUi5fHdpN+fuOPC6w9mSb9PH+QB6+PF1MGTyYV8eCPZ1odEezmaMYjQ734fO9F0our0dWR8eq47swd4H5DxOjE/AqmLj9JWU0Dd3W3Z/mckM6um1uQyIxSHv05jJyyWkz0FXx+X2CH9+a3K51G57cQN2ND9dyWSLaGZTKrnxvvT+7R5uW2R2azWGNw/caE7swf9O9XdBPzK3lhayThmqpIP08r3psccNVpGLcrjQKNTAZfz+zF+J5O0u8a01wAPr63ZwvvpGvJnFWnxZHBZhsIgJGfHyYxv5LXx3dHV0fGa3+0TOVztzZiYqATga4W7I3JE1vrNZ1RblZGpBdXY26oS+Qbd/H53/EsPZDI3AHuvD0xQOt2SqrqWfjTWc6klmCgK+f7ub3xtjVh4IcHJNFs7FdHqahTsn5BPwb52LR4LF/svchX+xNanN9UHE4qqOT+Vacl750f5vXhUHw+n+29iCBAgLMZX88MZmtYBt8cTGLeQA/evMdf6/b2ROfyyE9h4vdPDaWLQ8fe2z+fSuPVbRfo5mjGX08Okc6vqlOSkF/JxbwKUgurSCuqJrWoivSi6it6G8lkYGuij6OFIU7mBjiaG+JkIZ46mOtja2KAlYkeT6wP5/DFAlytDKUR0dLqeu5dcZLE/Ep87UzY8uiAW8ab5Z8iCAI/n0rjnZ2x1CvVOJob8PVM7XG960lSQSWvbbvAiaQiQBxF+OjennR1ENei/PJaorPLuZBVxoXsMqIyy8jRmOw3pZujGXf42TKsiy0m+gqe/CWCpIIqdHVkvD0xgJl9W+8cvF24VYSRf0K/fv3o06cPy5YtA0CtVuPq6srixYv53//+1+Ly06dPp6qqih07dkjn9e/fn6CgIFasWIEgCDg5OfHss8/y3HPPAVBWVoa9vT0//vgjM2bMIDY2lu7du3PmzBl69+4NwO7duxk7diyZmZk4OTm1uN/m3CqvfeOaCS2LOTeL2gYV7++KZZ3mYNvF0pAPpvS4aYldb2+P4YfjKfTxsGTzIwNuWAdZfnktu87n8Gfk/9k777Cm7jYM30nYW/beKKCCIuLALbauqnVbt7Zq9967X1tr7bRDbWvVap21Vq2j7o0gouACRPbee2Wc74/AkQg4QbHlvi4uIDk5OTmEnPf3jufJEGM/UCfY+3pZ8oi/PUN8bZpNkuLA5WyeXBtJjVLFEF8bvn+s6x2Nb8Zll/LixnNid9RDvjZ8/GinRnUylSqBVzdH8efZdKQS+GzsNSFy0DSsAejiZMbWp3qLf4PwxAKmrwijWqFibFcHvpjgr1EUOZ9WzJSfT1FWrSDEx5ql07qRVVwlms6AWh7k+hH7EB9r9l/OQUsqEWOvOkb62fF3dCazg10Z7G3DtBVhSCRql9m8sqYNcOq40UjgrbBkSldG+as/Y1zf2Cne/ngfN94e4aPx/lx25KqoAQTq2HfhrssahRvHdvr88FgA/k5md3xMd8LppAKm/hJGjULFjF4ufDiqY6vozmxDzeaIVN7+6wI1CtVdOzD+G2kTOv+P82hXdavsjnMZvDnMu9ELcXxOGW/UtvDO7+/+r0hIgVroffOC3qw+mcTn/6iFlId9e4wF/T14eqDnPXVtac08O8iT3NJq1pxK5qWNUZgb6NC7NtEy0s+euOwylhy4wttbz+Nuadhii+jZwa4cj89jfXgKzw/20uiOGdDeivicMi5mlPDlRH9OXs1n94UsfOxM8LI2Yt+lbJLzK8RxOT9HU+b1cye5oII9F7JIKVBX5Yor5STnl1MXLjV2KW9nqMOauT1YsPYMh2Nzmbsqgh61o7DdnNsRmVJIabUCBzN9ejXiKHY6qYDvDqoTUt9O7sK6sBRRqHTr2XSC3MyJzSpl6i9h5JVV42FlyI9Tu7H4n1hRW2lydyc+GNURPW0ZOjL1+7S+flQd59OKxZ+d70BHY3OEWi9BSyph4e7LXMkuIzartNHRrjokErAz0cPFwhBXSwNRTNvOVA97M31sTPRuWi1euOsyR+Jy0dOWsmyaWhS4skbJnFWnic8pw85Uj9Vzgv41Canc0mpe3xLNwRi1O88gb2u+nOB/T8bbKmuU/HAonuVHryJXCuhpS3l5SAfm9HHTqLJam+hhbaKnYYOdVljB6aQCwhMLOZ1UQHxOGZczS7icWdJA9+On6YENLLTbaH3U1NRw5swZ3nzzTfE2qVRKSEgIoaGhjT4mNDSUl156SeO2hx9+mL/++guAxMREsrKyCAkJEe83NTWlR48ehIaGMnnyZEJDQzEzMxMTUgAhISFIpVLCwsJ49NFHGzxvdXU11dXXNM9KSkru6DU3J6tPJokJqQ8e8W0VCanLmSU8v+GsqCE3q7crrz7c4b51mOaXVbMuXJ0ce3bQvZWAsDbRY1awG7OC3UgtqGDn+Uy2n8vgUmaJKJCuoyWln5cVwzrZEuJj08A05HYY7GPDTzO6MW/NGfZdUieofpwacMvxpSAI/BaazKe7LlOtUDXaHXU9MqmExRP80ZJJ2BSRxmtbosktq+apAR5IJBJCfKyRSBA7xp4Z6CnuKyarhLmrT1OtUBHiY83n4xs6CHZ2NOWXmYHM/DWc/ZdzeO2PaF4bqtmlfX1Cqq+XJT9ND2TemjNiHFOHjpaUIb42/B2dSWRyIe8/0pHRXezZdi7jpgmpSYFObIxIvauEFMBz68/ibmnIr/U6uCYFOjVISEUkFfDDQU2x9tUnk2hnqKORlLI307+jmOtu6e5qzjeTuvD0ukh+C03G1cKwbSysFVBZo+Sjvy+yPlwdU4f42PDVJP8WG+n8t9OWlPqX0svdAg8rQ67mlrMuLIX517WYq1QCr/0RRXmNkl7uFrzaiKPHg4xMKmFOHzeG+Nrw/vaLHIzJ4buD8WyPyuB/ozs10Oj5LyKRSPhgVEfyy6vZdT6LeWvOsGFeT1Gw8YXBXlzJLmX3BXVXzrZngltEvHhgB2vcLA1JzCvnjzNpGsH+YB8bfjmeyKHYHJQqgUHe1qKjz5IpXamoUbDvUjbbz2VwJC6X6DR1p4exrha9PSxILagQ28X7Lz6s8dobQ09bxk/TA3l+w1l2X8gSdY6G+NrwZ6RajHxcgEODYK68WsELG86hEtRi6KO7OCCTSsSk1N9RGUzq7sScVacpKK/B186Ez8f78fyGs8RklaKjJeV/ozsyqfu1bhOtWi0qpaphM+uxelbGt6IvkFFUSVRqEVFpxWw9m0Z2iXrBdz69mPPpxRrbWhnr0t7GCA8rI5zNDXCtl4S6m4Tu1rNp4tjL4vH+dLQ3RaFU8cy6SCJTijDR02L1nCDs/yU6cAcuZ/PaH9Hkl9egoyXljaHezOrtek/G9fZdyuaD7RfFJOPADlZ8MKojLhY3HtOsw7Gd+u9dZ0yQX1bN3kvZvPnn+Qbbzl9zhr5elozwsyPE16YtGGul5OXloVQqsbHRHKeysbEhJiam0cdkZWU1un1WVpZ4f91tN9rm+tFALS0tzM3NxW2uZ+HChXz44Ye3+Mpanl3nM3l/u7pL94UQL2bd5wJendjywt0x1ChUWBnr8uUE//se12yu1THyczSlr1fDTuJ7hVOtltWC/h7E55SJmkQJeeXsv5zN/svZaEkl9PKwYGgnWx7ytcXK+Nb1++oY0MGaX2d25/HfTnMwJod5a87w0/RuN71O5pVV89of14oVAzpY8fl4vyZdhOsjk0pYNM4PCyNdlh6+yuJ/YskpqeK9RzpioKNF/dmXQbXFgtSCCmasCKe0SkGgSzu+mxLQpEB7T3cLfpwawPw1Z9h6Np2whPwmj8VET4vF49XdVu+N9OXolVyNMTsbE126uajF9S9mlFBZo+SdEb6ipuKNaKxw01iXVn1WzwkiOb+8gYD7yO+Oa/y+aLyfxu+HY3NYsPYMVXIVPdzMmdfPnbmrI8TuNQB3S0NSCysITyxg5HfHWTotAD9Hs5u+juZkeGc73hrmwye7LvPxzku4WhowyLvlxmPbuDGxWaU8sy6SKzllSCTwwuD2PDvIs00u5i5oS0r9S5FKJczv58FrW6JZcTyRGb1cNRavmyJSiUwpwlBHxleTmt9BpLXgZG7AipmB/HMxiw+2XyI5v4IZv4bziL897470uaUg4N9MnfVsYflpQhPymbXyNFue7IWLhSFSqYQvJ/qTUlDBxYwSHl8dwZYnezd7FVYqlahn+7ddZOWJRKb3dBE/1ANd22Gip0VBeQ1nUwpFbYTz6cXklFRhbaLH6C7qJFB+WTVbItNYF5ZCUn5Fo8LZdWw5k8b7j/g2mpzS0VILvi9YGylW/goqajh2JReAsQGODR6z+J9Y0osqcWynL44FhvjYYKSrRVm1gtJqBWN+OAGou7leeagDs1edJre0GksjXX6ZGUiX69rBpXVaEo0kpaJqbY2bIr2oklNX8zmVkM+pxHxSCxrvgApwNqOjvSntbY1pb21EexvjFuniOZdaxOtb1AmNpwd68Ii/PYIg8NbW8xyIyUFXS8qvszQF5h9UKmuUfLLrkui84m1rzDeTu4jjci1JakEFH2y/yIHaxY69qR7vPdKRhzva3FXXQkpBBT/VJhRBPWLibWvM7gtZXMkp40BMjvh3HN7ZjkndnejhZt42XtDGHfHmm29qdGiVlJTg5NRyI+Q34kJ6MS9tOgfAjF4uPD/Y68YPaGGu13Ib7K3uerG4DVOElkAQBDbVOpZN7eHcav73Pa2NeHFIe14I8SImq5Q9F7LYcyGL2OxSjl3J49iVPN756wLdXcwZ2smWoZ1sb6sw0sfLkpWzgpiz6jRH43KZs+o0P88IbDJOOhybwyubo8krq0ZHS8qbw9TFits5XxKJhNeHemNlpMtHf19idWgyyQUVfDupq8Z2pVUKFCoVM38NJ6e0mg42xqyY2f2mhazBPjZ8OdGfFzaeI6PeKPeUICexIwTgf2M6YWuqjqGdLQx4vI8bPx6+1klrZ6KPg5k+tiZ6ZJVUEZVWRKDLrTlANubEd6OEFECwhwX921thqKPFy5sbd+p77rr/353Rmbyw8SxypcCADlZ8O6kr3xyI09jGwUyfXc/3JT6njKfXRZKcX8H4paF8MKojU4Kc7ul7/fG+biTklbE+PJVn153ljyd743OHZjdt3BmCILAuPIWPdlyiurYo8M2kLo1KerRxe/w7MxFtADC6qz0OZvrklFZrLCiqFUq+2a8eM3pxSHvsTP8dnQlNIZFIGNrJjv0v92d2sCtSiVpLa/CXR1gTmtRoJ8p/CV0tGctndMPHzoS8smpm/Bou2sUb6Gjx84xALI10ickq5YWN51C1wPkaF+CIiZ4WSfkV4oIaQFsmFRNR+y/nYGWsK87yH4rN0diHhZEu8/p5cPDlAayd24PhnW3RaqJiUVqtYPJPp4jPaTzI0ZJJGRvgIP6+/EgCKkHtXuh6nSh4ZEohq0OTAFg4tjNGtcGonraMR/w19VICnM2Y1duVeWsiyC2txtvWmG3PBDdISAHU5Ylv9P50rz2WGoWK41fy+GD7RfovPkTwZwd5eXMUm8+kkVpQiUwqoaO9CZPqaYN9/1hX/nwqmP+N6cT0ni70cLdokYRUdkkV89dEUFM7NvDyEHVX5pd749gUkYZUAt8/FnDT8VBBEFCpBJQqAYVShVypokaholqhpEqu/qqsUX9VyZXIlaoWea/eiPNpxYz47piYkHq8jxt/PR3c4gmpKrmSJQeuEPLVEQ7E5KAtk/DkAA/2v9yfoZ1s7zholitVfL0vjvHLQknMK8fWRI/1T/TkpxmBvPRQB/a91J+9L/bj+cFeeFgZUq1QsfVsOpN/OsXALw6z7MhVihsRUm/j3mNpaYlMJiM7W3PEJjs7G1vbxsVYbW1tb7h93febbZOTo/lZrVAoKCgoaPJ5dXV1MTEx0fi6H+SWVjPvtwiq5Cr6tbcSRZHvF0l55Yz98SQ7ozPRkkr44BFffpkZeN8TUgCRKUUk5JVjoCNjhN/NdcLuNRKJBB87E14c0p5/XuzHwZf789rQDvg7miIIEJ5UwEd/X6L3ZwcZ/f1xvjtwhUsZJdyK7G4vDwtWzwnCUEfGyav5TP0ljKIKzfG0KrmSD7ZfZNbK0+SVqRNE258JZnaw2x2/p+b0casdGZRyODYX/4/2aty/NiyZ2avUBi4OZvqsnhN0yyOLo7s4MPq6+MX1uk5b3evG9ef305zIsDHVQyKRiN1SYQkFDbqWbhWjWyiGnqst1o3r5sjTAxs3IBjY4Vo34abTqTy7Xi1YP9LPjlcf7sCkn0JZeSIJUOsoSiXqIt+CtWfwtDZi+zN9CPGxoUap4q2t53llczSVNQ3F0VsKiUSt4djbw4LyGiWPr44gp7ShBmQbLUNeWTUL1p7h7a0XqFao6N/eit3P921LSDUTbULn94D7KdJZJ2Sury3j4Cv9sTPVZ9PpVF7bEo2NiS5HXxt4R+KMDzIX0ot5a+t5omt1eXzsTPjgEV96NKIT9F8ip6SKcctOklqgtobfMK+nqEUWmVLI5J9OUaNQ8fRAD1592LvZn3/hrsssP5pADzdzNs7vJd6+7Vw6z284p9aQeqm/KDY7xNeGn2cE3mCP6oRIj08PNHm/tkzCgv4ePDvIq4Ee0gfbLzZwdRnlb8+SKdeqkTUKFSO/O0ZcdhljAxz4amIXje3rjr2Oj0Z35MMdl1Cq1FW576Z0bVJ49YdD8Sz+J5aJgY58Pt5fvF2uVOH19m5AXcHr4mTG0bhcDSFymVRCZwdTerpb0NPdnEBXc4x0tTgUm8PslacxN9Th1JuDb8sxSBAEymuUFFXUUFQhp7hSTmmVgkq5goraZFBF7VeVXElFjYLCCjn7Ll1bsHrbGqOrJSUqTXNk0NZED4VKhVwpIFeqUCgFFCoVAtAcVyiZVIJMIkEqpfa7pN5tEnRkUnS1pOhoqb/rasnEnxu7zUBXCyNdGYa6WhjpaqGrJWXtqRSO1xurXD69Gw/53l2H0s0QBIGd5zNZuCtGHNXr5W7B/8Z0vGuRzau5Zby08Zz4txrlb8//RndqclEjCALnUovYFJHK9nMZlNcG6gY6MiYGOjG3j5vorvkg0lrEtu+GHj16EBQUxHfffQeohc6dnZ155plnmhQ6r6ioYMeOHeJtvXv3xs/PT0Po/JVXXuHll18G1OfJ2tq6gdB5REQE3bqpHUv37t3L0KFDW7XQuUolMOPXcI7H5+FuacjWp4Mx1b9/o6mHY3N4dv1ZSqsUWBnrsnTqzRP595LP98Tw4+GrPOJvz3dTut78Aa2I9KJK/qntoDqdXKBxzbE31WOwjw2Dfazp6W5xw9G8c6lFzFoZTlGFnA42xqyZG4S1iR7xOaU8s+6s2Okzq7crbwzzbjZ90/NpxTzxWwRZJY0nJ8wNddi8oBceVka3vE+FUsXI747fsDtJRyZl1Zzu9PZQL8grahT4vvePeH+Qmzmb5vdixfFE/vf3pRs+38AOVhyKzW30vh5u5pxJLmy0a1zjeLSknHtvCKeTCnlmXSSlVQ3NWQ6/MgBXS0N+OZbAxzsvA2qNKVdLQ9G528JQhy8m+DPQ25rQq/nMXhVOlVzFgA5WLJvWDR2ZlOVHE1j8TwwqQR3XLJvWrUHBsiUprpDz6I8nSMgrp4uTGRvm9WzTy21hdp3P5J2/LlBQXoOWVN2tOLePW9u43i3Q5r7XirifwawgCExcHsrppEIGeVuzYmYgj/54knOpRbw5zLuB1tR/BaVKYF1YMl/sjaO4Ul3Jf8TfnreGezdL55hcqaK8WkFZtXrBXlatoKJavVCvVtR1eKi7PBr9Wa6iprYTRKFSoVSBSlB3iagEAYVSQFnXOVLvu0Kpvr/+tVuCWqRa/bP6h/rr5LpFswRILazQuJD3dDfHUEcLLZmEfy5eSy7oa8uYGOiIvo4W+toyDHRk6OnIxJ/1tWXo68gw0dPGzED9pa8tu+ECPaOokn6fH0KhEvhjQS8x4C6ukBPw8T6UKoGDL/enSq5i+JJj6GhJOfNOyE3ddGavDOdQbC7uloYk5DVubexjZ8LXk/w1OlqGfnOUmKxS3hnhIwYvAIdeGYBbbfCx9PBVFu2JwcJQh/0v9dfoNMotrWbCspONWiCPC3Bk0bjONxyb/WpfHEsOXGFaT2c+HqN20KySK1l25KrY6VgfSyNdBntbM9jHmt6elo1WFp/4LYJ9l7KZHezK+4+oHf0qahRkFFWRXaL+yiqpIqekmuySKnJKqymqqKG4Uk5RhfymQWEbmmjLJJjq62BmoE07A21M9XVoZ1D3P6FDOwMdLI10sDLWxdpEDysj3VtOFEanFfHRjktEJBcCYGeqxxvDvG8olHsrKJQqVp5I4st9sVTJVZjoafHxo51FB6Nbobxawc7oTH49kSguaqQSdfX9hRCvW9a2ak38G5JSGzduZObMmSxfvpygoCC++eYbNm3aRExMDDY2NsyYMQMHBwcWLlwIwMmTJ+nfvz+fffYZI0aMYMOGDXz66adERkbSqZN6THnRokV89tlnrF69Gjc3N959912io6O5dOkSenrq0Z5hw4aRnZ3NsmXLkMvlzJ49m8DAQNatW3dLx30/zv3yI1dZuDsGPW0pO57pg9d9HC1eF5bCu9suoFQJdHNpx49TA7AxaV3SA8O+PcblzBK+nuQvatE9iOSWVnPgcjb7L+dwPD6XKvk1jSQDHRl9vSwZ7GPDIG9rLBvpUIvLLmXaL2HklFbjbG7AuABHlh25SqVciaWRDovH+7eIMUREUgHjlzVuWLDt6eDbdourn7S5nnEBjpRVy/nnYjZGulqiFun1SSmA+E+GcS61qMljq8PKWFfs0L8eU31tMU6/FerE3gNd2vFQRxs+3aWpmffsIE++qxU1f7ijDXllNZypvY42pu918moec1ad1khM6WnLOHk1j+fWnyWvrAZjXS2+nOjPQx0b7/5sCRLzynn0xxMUVcgZ4WfHd5O7tiVIWoDC8hre236RHVFqLTRvW2O+mOAv6u+2cXPaklKtiPsdzMZmlfLId8epUap4bpAnSw7GI5XAqbcG/+c1lQrKa/hybyzrwlMQBHWy5ZlBnswOdqWiRlnbEaLuDCmqkFNUKae4ooaiSjmFFXKKKmrEhJM6AaWgvFpJTSOOaf91dGRSTA20MdO/tii3NdHD1lRP/P71vjgikgsZ0MGKVbODxMfO/DWcI3G5vBjSnucGexLy1RGu5pbz1UT/RjWe6vPaH1FsikjjpSHtMdLV4qMmKnY6MikvP9Sex/u6U1RRQ7eP9wPw+lBvFu25FtS4WRry55O9UQkC/RcfpqxawZcT/BnX7dpxVNQomLg8lAvpDV2jZvV25b2RvjcNHj7bHcOyI1eZE+zGxO6OrAtLYevZdI2koYuFAY/42RPia4Ofg2mT+1SpBE5ezWfaijBAPUaoJZWSlF9OThOBYFPoaElrEyzaGOtpayQh1T9rYaAjY114CgXl6hGG8d0c6d/eiv2Xs0WR084Oprw70hctmQRtqVT9XSZFWyZBSyZFS1qbQpWok6kSiVpnqy7JKlHfUfuzOrla9+pVgoBKBcp6iVylSvNn9Xd1glquVNVLFis1fr6WNK5LGCspr1FQUqlge1RDwVZjPS0qapR3PBZsZqCNtbGuOlFlrIe1ia5aeNxMH4d2+mhJJXx/KF4U3tfXlrGgvwfz+rnfkuj9jbiUUcIbf0aLXaR9PC1ZPMHvjhP1giBw7EoePx9LEDXeZFIJEwMdeW6w1wM1On6/r+PNxffff8/ixYvJysqiS5cuLFmyhB49egAwYMAAXF1dWbVqlbj95s2beeedd0hKSsLLy4vPP/+c4cOHi/cLgsD777/PTz/9RFFREX369OHHH3+kffv24jYFBQU888wz7NixA6lUyrhx41iyZAlGRrfWuXGvz/2F9GLG/HAChUpg4djOTAlyvvmDWgBBEPhibyw/HFLr64wLcGTh2M631eF6LyipkuP3gXp07PTbIXckGt4aqZIrORGfx/7LORyMyRYNQkB93eniZEZIbYLK29ZYLAak5FcwbtlJjSRLsKcFX0/q0mIx9xf/xPL9ofhG70v6bMRt7Su7pIrBXx6hrLphpxHAxEBHPhzViVkrwwlLLMDSSIc/FvTGsZ0+nrVd3HW8PKQ9EcmFHIlrvAuqPnraUo0k4N0wJciZD0b5Igjg/e6eRrexMdGluFJOlVyFka4W7470YWJg4xpR1yemlk/vhq6WjKziKp5eFykmtV4I8eK5QV73LDl0KiGf6SvCkCsFnhvkyUv/MtOq+4kgCOy+kMX72y+SW1qNTCrhyf4ePDe44WRFGzemLSnVimgNwWxd1a+OQJd2/PFk7/tyLPeTKrmSzOIqMosryS2tVn+VVXMkNvemIop3go6WFCNd9SLdSFcLPW0ZetpSdLRkDUaDdK8bF9LRkqItk6IlkyKTSJBJQSaVIpOqF+cyqQQtqUT8WVr7u0wi0bioCggg1P18bRxKQKj3c61mjyAgVwocjcvVsOL93+iOKFUCNUqVRtXpIV8bLI11RS2fSvm173UL9+LKGuTK2/+Y0dGSMtLPDndLQ86lFrH/cg7O5gYceXUA3x64wjf7rzCwgxUr6yWvGqNu3G9CN0f6eFny/IZzdHIwYUB7a34+lkC1QjMICnIzZ0RnO97ffpEONsY4meuz/3IOM3q5cOByDulFlQS5meNuaciG06l0cjBh+9N9xCBEpRJ4el0kuy9kYWGo7pK5mnutQytx4fBb6mR556/zojZRUzS2L7lSxaWMEs6lFhGTVcLlzFJis0qplDete2Csq4WNqR42JrrYmOhhY6JOFFob69Ku9jWY1Xb83EqL+OHYHOasOo1KgPcf8WV2sBvHrqhFYOVKgSlBTnz6aOdWI4Z7u1zJLuWVzVHiaNtgb2s+HdtZ7F4QBIFKuZLiSjmF5XKK6iW2C2s7zwrLayiskJNbVk1e7WfRnSSzR/nb09vDAjdLQ9ytjLA00rnt81qnSbX8aAJKlYCxnhbvjGg6QL8TzqcV8+W+WA7XjmjUFQAe7+v2QIyQt4br+H+Ve3nuFUoVY348wYX0EoZ2tGXptID78jmlUKp47Y9o/jyrTj6/EOLF84O9WuVnZlhCPpN+OoW9qR4n3xx8vw+nRRAEgQvpJey/nM2BmOwGBScbE136eVkxoIM1dmZ6PL46QizKAGx9qjddnW9N5Pt2UaoEgj87SFZJFf3bWzVIAI3obMd3U269i+bZ9WfZEZVBV2cz9LXVOlnXM6aLPe890pFpv4RxKbMEJ3N9tizoTdAN5BLq42VtxJWcMo3bzAy0KbpFDcIVMwPp5GDKvDVnGjV+WTYtgKGd7PjrbDovbDx3w3319rDg8/F+N3WXrp+YCvGx5sep3dDRkiJXqvhk52VR7mFYJ1u+nOiPgc698RLbFJHKa39EAzzwnYqthdSCCt7ddkGMVzytjfhygv9tdxy2oaYtKdWKaA3BrFIlMOWnU4QnqS3qp/d04X9jOt2XY2lJyqsVJOWXk1pQSUaR+itd/F5FXtntdYXU4edoiqm+Nu0M6hbo2pga6NR2i6h1ZQx1tTDUkdV+18JAV4b2A+xquO9SNgvWnkGpEpje04WPRndEIpFQXq3uArqYUYK7lbpryMygaYFsQRCoqFGKI2BFlTUUV8jJL68hu6SKzOKqa9+LqzS0kRpDIoHuLubie/nUm4NFB5jGqNN16u7ajucGezF9RTjetsbseaEfaYUVfLrrMrvON25NPr6bI39HZ1AlV7H7+b5IJRLGLz2pcYzrnughairAtbE7bZmEYZ3sGnTTXPzw4Rs6GJZVK1gXlqyR/NOSSnioow2PBbmI3U6groBW1ig5nVTAyav5nEkuIDqtuEGirT4melo83tcdFwsDXC0McbEwuOHf73aJzSpl3NKTlFUrmBToxGfjOhOZUsS0X8KolCsZ4WfHksldkT2AbeYKpYqfjyXy9b44apQqjPW0eP+RjowLcLjrxaIgCBTVJqlySqrJKa0it7Sa1MKKmyYn62Osp4V7bYLKw8oQb1sTvO2McTDTb7IC/M7WC+Jo67BOtnw4qiPWLTQeFJFUwKI9MZxOUleWXS0M+N+YTvT1ur929jejNVzH/6vcy3Nfp39joqfF/pf735du8hqFiuc3nGX3hSy0pBIWju3MhMD74z54K6wJTeLdbRcJ8bHml5nd7/fh3BOyiqs4EJPNgcs5nLyad9MOH0MdGUundaNf++b/nDsUk8PsVac1bhvTxZ6/zl2LPYJczfl8vN9NdY9OxOcx9ZcwpBLY/kwfXt8SzcWMawm4Lk5mXEgvRqES6Nfeiv+N7sj0FeGkFFTQwcaY2OybF3cHdLASF/t3StJnIygsr+G1LdEaupX1WTEzkO8OxosC6NejoyXlnRE+TOvhcssJu5PxecxedZpqhYqHO9rw/WMBYpy/6XQqb/91HrlSwMfOhJ9ndLtpoqu5qOus19GSsml+r0bNc9q4OXKlip+PJbDkwBWq5Cp0ZFIWDPDgqQEebZpdd0FbUqoV0VqC2ZzSKoI+uVbFSPh0+AM5f1yjUJGUX05CbjlJ+eUk5ZWTWPt1K6NIBjoy7Ez1sDLWxcpYreNiZXzty0BHxqbTqWyJTEMlqLVQJnRz4uWH2rfYQq21su2cusokCPDUAA9eG6oWOM8uqeLRH06QUVxFDzdzfpsb1GzdDmdTCnn0x5OAeoFsoKNFYl4ZkSlFTT4mwNmM7m7mBLma093NHJN6OlPRaUWM+v4EVsa6rJrdnRFLjmNlrMvpt0PEbU7Eq53rrq/c1WFppMPpt0OQSCQcjctlxq/h4n31W+PrjAVALTgdmtCwwvjbnKBGA9P8smp+PZHImtBkSuqN6DmZ67Plyd5YG+uhVAl4vLVLvK+nuzmRyUUNOmzMDLTp4mRGJ3tTvO2MOZ9ezPIjCTiY6XP0tYEtlhDKKa3i0R9Oit1ka+YGkZBbzqTloZRUKejf3oqfZwQ+kK3PsVmlvL4lWgxwB3awYuFYvxsmRO+GOhHzL/fGkVibMHI2N+DJAR74O5qRUVRJWmEFSfkVJOaVk5BXRlphZZPC8MZ6WvjYmuBjZ4y3nQkWhjpsiUwTteKsjXX5aHQnhnZqeU0MQRDYdi6DT3ZdFkdcpvV05q3hPvesuny7tJbr+H+Re3Xu88qq6f/5IcprlHz6aGce63Hvx/aq5Eqe/j2SAzE56Mik/Dg1gBBfm3t+HLdD3ejYzF4ufDj631fsvBlVciXHr+Tx+G8RN922JbRcn1x7ht0XrhXWRnex55tJXcgprdYwetHVkjK/vwfz+7k3WhirVigZ9u0xEnLLmdXblQ9GdcT1jZ0a22yc15NKuZIn10ZSKVfi52jK+4/4smBtZJOaUDfim0ldMDPQZtbK0zffuJZnB3nibWvC+9svkFdWc/MH3IDbHW0EOBKXyxOrI6hRqhjpZ8c3k7qI+qARSQUsWHuGvLIaLAx1WDa9G93vgSGBSiUwb80Z9l/OxsZElx3P9PnPrVfulpPxeXy445KYWO3pbs4nj3a+LYOANhrnVq/hrTP6a6NFuL7i99meGN4a7nOfjubmqFQC6UWVxGSVEpddSkxWKbFZJSTklt9QcNncUAcn82saLPametjX/uxgpo+pvvZNuxq6u5rz7CAvFu2JYef5TDZGpLIjOoP5/Tx4op9bq104NTejuzhQVq3g7a0X+PHwVYz1tHlygAc2Jnr8Ors745eGEpZYwBtbzvPVRP9mGS3o6tyO0V3s2XYug7JqBUunqR2b/rmYxfw1ZwCY18+dn44miI+JTCkiMqWI5UcSkEklBDibMaCDNf3bW+Firq4M5pZWo19b6Sgor0GlEsSkbLCnJTuf68sPh+L59kBDEfHODqbia2t3XVfR+bRiOjuacjmzhFc2RwHq5EFYojohNau3Kz3czHny90gAwhLzNZJSFTUKVhxLZPnRBFHDwd3KkITakb93RvhibqBD6NV8vtoXq/HcpxLU3WL2pnoEe1rS3c2cbi7tcLc0FI9XpRL4el8cADN6ubRYQqqyRskTqyNIL6rEzdKQ5dO6kVlUxfQV4ZRUKQh0aad2rnnAElJVciU/Hopn6ZGryJUCxrpavPuILxO6ObbYKM2J+DwW7YkRtZ0sjXR4dpAXU4KcxfPna9/wwl4lV5KcX0FiXhlXc8uJzynjcmYJ8TlllFYpCE8qEDsMr+eFkPZ0tDdBEIQWHxGSSCSM6erAYB9rFv8Ty2+hyWr3wit5fP9YQJuAaBv3he8PxlNeo15oT+5+7zuTahQqnlx7hkOxuehqSflpRiD9W6Czprmp60C3aET4+79AdkkVX9ZeYyUStfZXFyczjl3J5UR8voY208LdMSzcHcP8/u709bQi0LXdXXVglFTJNRJSPdzUHVESiQQbEz0NUe9qhYolB66wITyFVx7qwLhujhrxwC/HEknILcfSSJeXHmpPakFDkxZvWxNMDbRZP68nc1adJjqtmOfWn+Pdkb58sP2ixsjizTj4cn/aGegw6ofjt/Wad0Zniq+pfqx0K7Qz0Kaw3ojge9su8NFtJlL7t7di6bQAFqw9w9/RmWjLpHwxwR+ZVEKgqznbnunDE6sjuJRZwmM/n+J/ozsxuYV16aRSCV9P8mfsjye5klPG/LVn2DCv5wMxGn+/Scwr59Ndl8WOO3NDHd4e7sPYZuiAb+P2aOuUuge0pgpr388PklpQKf7+1nBv5vW7/w58giCQWlBJVFoR0WlFRKUVcymjpEmhRSNdLdytDHG1MMTNUv3lammIm4Vhk5bld8qZ5AI+3nmZs7WdOjYmurz8UAfGBTg+kCNId0J9TbL/je7I9F6uABy7ksvsladRqASeG+zFS0Pa32Avt05KfgWDvzqMXCnw++M9CPa0RK5UEfzZQXJKq/luSlcCXdsR/NlBVLVdXPllNYQnFYhdJXVYG+uKHXSbF/RiQq0LzNl3h2i45dVxMCabOasaVjzD31YbA8z7LYK99drFnc0N+GNBLx77JYz4nDIMdWRUK1QoVAITujmyaJwfhfWE0z2tjdj/Un8UShUbI1L5Zv8VscLYycGEZwd5McTHhoFfHiY5vwJ/JzPSCysbjJ6G+FgzoIM1wZ6WuFoYNHnx3HMhkwVrIzHR0+LEG4Nu6lZ4J9TX0TIz0GbrU8HoaUuZsCyUtMJKfOxM2DCv5321VL8TwhMLeOPPaDHoDfGx4X9jOraYQPeF9GIW7YkRRcENdWQ80c+dx/u6N+qmeKvUKFTE55Tx4+F4/o7OvOG2Nia69HS3EL9u9N5qLo5fyePVP6LILK5CV0vKp4921jAOaA20puv4f417ce5TCyoY9KX6mrPu8R709rS8+YOaEaVK4PkNZ/k7OhM9bSm/zux+z4/hTnl5UxRbItN4Y5g3C/5jjs4HLmfzwsZzlFYpsDDU4ZvJXTRGkeVKFZHJhRyKzWXZkasNHq+jJSXQpR3Bnpb08bSkk4PpbcWVq08m8f72iwB4WBny55PBGjFwaZWcQV8eIbe0mg42xlTKlaTUJpt87Ex45aH2DPK2Jq2wkiFfH6FKruKbSV0Y09WBp9dFsrPe9eJ6zbCkvHLmrDpNQl65eK1qzBm4MU6+MQhrY11mrgznRHzDjnLghuOAdV1fc4Pd8P9or3h7Xy/1/0zdNbQ+YwMceGeEL9oyCZ0/uPaYn2cEMuQOuhH/uZjF079HasR6dYXOihoFr26OZud59fmb28eNt4b7tPiaISmvnFHfH6ekSsHEQPUxtSVWGqekSs73B+NZeSIRuVJAJpUwrYczL4S0b3Rt0Mad0za+14poTcFsv88PkVJQwRBfGzErvGhcZyZ1v7dt6uXVCs4kFxKRVEBUWjHRaUUa1Ys6tGUSPKyM8LY1poOtCR1sjehga4K9qd49/aAVBIG/ozNZtCeGtEJ1Us/HzoR3RvgQ/IAEjndLfXeX+mKKG0+n8PqW8wAsHu/XbNoXH2y/yKqTSfg5mrLt6WAkEomo19TDzZyN83sxd9VpDsTkMK+fu9j1l1pQweG4XI7E5nAiPr9Jge89L/TF27bh/+Oh2BxmN9JKLpNK+OGxrixYG4lEAn8s6M3zG86K74frecjXhqXTuolBiMdbu0RHtlWzu/O/vy+JAujO5ga88nAHRna2o6hSzpYzaXyyS9OO+foK3620nQuCwKjvT3A+vZhnB3nycgs5syzcfZnlRxLQkUlZ+3gPXC0MmPTTKRLzynGzNGTT/F4PlCNTcaWcz3bHsD5creVkZazLh6M6MqyTbYt87lzOLOGb/XHiKJ22TMLUHi48M8izUdvx2yUmq4SFu2JEAVwrY13eHOaNn6MZ0WlFnEtVf13OLGlgSmBrokdPd3N6e1gyoINVi40EFFfKeXHjOQ7G5ADweG0Q31pGzFvTdfy/xr049+9vu8Dq0GT6eFqy9vEeLfIcTSEIAm//dYF1YSloyyT8PCOQAR2s7+kx3A2vbo5i85k0XhvagacGeN7vw7knKFUC3+6PY0ltx06Asxk/Tu1203Hur/bGio9pDBM9LXp7WBLsaUGwpyVu9bqer0euVOFVz+3u2GsDcTJvqGG0MzqTp9dFoi2T8MeC3pxOKuDbA1dEJ18fOxMuZ6p1o3q6m7P+iZ6cSS5kfG0Br47GjGWKKmp4cm1ko1IFNyLpsxH87+9LrDieeFuPq2P/S/3xtDaioLyGgP/tE2+XSGhyhH1sVwcWjfdDWyYVteOu39/tsjM6k2fXR6IS1I5/nz7aSfx7CYLAdwfj+aq2i+4hXxu+mdylxSctjsTlMntlOCoBPhzVkZm9XVv0+R40ahQq1oensOTAFfJrO/v6t7finRE+eNkY3+ej+3fSlpRqRbSmYPbRH09wNqWIZdMCiEgq5JfaC8LHYzoxradLiz1vaZWciKRCTiXmE5ZQIAol1kdbJsHHzgQ/R1P8HM3wdzTD3cqwVYmFV8mV/BaaxHcH48ULel8vS1572JvOjv/ukRNBEPhwxyVWnUxCJpXw49QAHu6o1p9Z/E8MPxy6ipZUwopZ3Ztl5KC+vsf3j3VlpJ89mcWV9Fl0CKVKYN+L/UjKr+CJ3yKwMNQh9M3BDUbDqhVKTsbnNxABreOTRzsxuouDRhfKz0cT+GTXZexM9cgsrmr0cUM72rJsejfOpRYx5ocTDe73dzRlw7xe6Otca51+7Y8oNkWkaWxnbqjDc4M8eayHC4l55aw8kcjWs+kaQuUhPtZM7u5M3/aWdHhnj8bz34w6/St9bRkn3hiEeQtUf9aHp/Dmn+qk5NeT/OnrZcXkn04Rn1OGYzt9Ns7vhYNZy3QWtQR7LmTy3raLYnfdlCAn3hjq0+wdmABx2aV8u/+KWE2VSNRuei8P6YCzxd0LpGYWV/LV3jj+iExDENSC+XP6uPHsIM9GO+aq5ErOphQRmpDPqYR8zqU01Cvr7GDKQG9rBnlb4+dg2qxJI5VK4NsDV8QR2rEBDiwa59cqrgGt6Tr+X6Olz31xhZyeCw9QKVeKnbn3ku8PXuGLvXFIJPDdFPW17kGiLrnwRF833h7he78Pp8UpLK/h+Y3nOFqb5J/Zy4W3R/je8mj63otZPLfhLFVyFVIJzOrtRlphBaEJ+WJcWUfdaH4fL0t6eViIMhyCoO5OrjNp+XZyF0Z3cWj0+QRB4Inf1HpD7paG7Hi2DzUKFcuOXGXtqWTKa64V7kb52/PGMG+eXHtGdJetY34/d95sRPKjWqEUY5Nb5f1HfPlwx6Wbb9gEtiZ6HH51AHll1fRZdAhtmeSWXJ4HdrDih6kB6GrJNPQ5AcLfGnxHRZf62qsze7nwwaiOGonE7VEZvLI5ihqFCj9HU36ZGdjiBgp1caxMKmHN3CANM57/KkqVwNaz6XyzP04sJntYGfLOSF8GPkBFgAeRtqRUK6I1BbNP/x7JzvOZvDXcmyf6uvPR35dYeSIJgHdH+jK3j1uzPI9KJRCdXszh2BwOx+YSnVbE9TJQDmb6BLmZ09XZDD9HM3zsjB+Y+eeC8hqWHLjC2lPJYnJthJ8dLw9pj/u/WBRPpRJ49Y9otkSmoS2TsGxaNwb72KBSCby46RzbzmWgry3j9yd6ENAM9sff7I/jm/1XcGynz/6X+qOnLRPH52b1dlV3qi06SHZJtdhy3hh1lcLGMNSRMbqrA9N7uqi73/46z9pTKehry6iUK/GxM6GkUk560bWOqMf7uPHOSF8yiyvptfCgxv7sTfX465lgjaBDEASm/HxK1IACmB3sygsh7TmTXMCvx5M4Ht+w3dxQR8bFj4YC11xxAPa+2I/2N6noCILApJ9OEZ5YwJxgN957pPkXC4dicnj8twj16MlgL2b1dmXKz6eIySrFzlSPTfN7NVq5bY1kFlfy/raL4mimu6Uhn47tTE93i2Z/rqu5ZXy7/wo7ojPEqu4IPzteGOzVLJW60io5y45cZcXxRNEVanhnW1592Bu3m7gv1adKriQyuZDQhHyOxuU2WKRYGukwxNeWR/zs6OFu0WyjCVvOpPHalmiUKoHhnW35bkrAfR+Vbk3X8f8aLX3ufzmWwMc7L+Nta8zu5/ve0y7suvFqgP+N6cT0FiwOthR1529EZzt+mBpwvw+nRbmQXsyCtWdIK6xET1vKwrGdxa7x2+F8WjFP/BZBVkkVpvraLJ0aQJCbORcySjgRn8fxK3mcSS5sUBRwtzQkyM2cmKxSDVe5m3VOF5TXMPzbY2SVVDHCz47vJndFKpWQU1JFUD0x9OuRShBj98benyqVwFtbz7PhdOrtnYBmoLODKZ+N68yIJY1rUs0OdhXXN/Xp6mzGrzO7cza1UEOqQSqBqPcfuiOJg80Rqbz6RzSgjg/fHuGj8TkSkVTAE79FUFghx8FMn19ndaeDbct15QiCwEuboth6Np12Btpsf6bPAxOLNTeCIPDPxSy+2BtHfK2ZkbWxLs8O9mJyd6dWUfT6t9OWlGpFtKZg9odD8Sz+J5YRfnb88FgAgiCwaE+sOOv+9EAPXh7S4Y6q38WVcjEJdTQuV2yLrMPZ3IAebub0cLegh5v5v+IDMiW/gq/2xbItSr24lEklTAx04vnBXi3mynW/UShVPL/xHDujM9GRSVk2PYBB3jbUKFQ8/lsER+NyMdXXZvOCXjdNnNyMihoFg788QmZxFS+EePFCSHux+8dIV62R9NvJJL7cF0dnB1O2PxPc6IIiOb+c/osPoyOTMrevG0sPq9/v7paGJNTToBrsbU14YgGl9bTMXgxpz/z+7ni/q1kJ/HZyF/44k9ZAu2Db08H417PjzS2t5vUt0eJYEkCwpwWPBbnw7YE44rLVF0mpBIZ2smVOsBspBRW8tCmKnu7mbJjXC4Dh3x7jUm2LfeLC4TddOB2Jy2Xmr+HoaEk58uqAZtdBikwp5LGfT1ElVzG2qwPvPeLL1F/CuJhRgrWxLhvn97qtBMj9Qq5UsepEEl/vj6OiRomWVMKTAzx4eqBns1sAJ+WVs+TgFf46my4G+kM72vJ8iBc+dnd/bahrS//2wBVRcDbQpR1vDvehm8vdJ4lzSqs4HJvLoZgcjl3J09D8szTSYVgnO0b62dHd1fyuO6gOXM7mybWR1ChVTAp04rNxne+rNkZruo7/12jpcz9iyTEuZpTc86TQhfRiJiwLpVKuFN3OHkQOxeQwe9Vp3C0NOfjKgPt9OC3GpohU3vnrAjUKFS4WBiyb1u2uPrdzSqp4Ys0ZolKLkEklvDvCh5m9XcXPucoaJRHJBRyPz+NEfB4XM0qaHE1bPN6PHm4WOJnrN/k5eTqpgCk/nUKhEsTC2tLDV1m0JwYzA21eeagDf5xJ00h21ee5QZ48O9hLXMQLgsB72y6y5lQyUgl0tDflfHpxo48F+GVG4C05FF5PH09LFk/wo/dnB5t8/dfjbWvM9mf6cCg2RzTIqY+ntRG/zQni6XWRol4sQJCrOWsf73FHhizrwlJ4a6u6a/zJAR689nAHjb9FfQ0uY10tfpga0KgTc3NRJVcycXko0WnFeNsas+XJ3o26Lv5bUakEDsTk8N3BK6JpjJmBNk/292BGL1eNSYY2Wpa2pFQrojUFsyev5vHYz2FYGukS9tZgZFIJgiCw5EA8X+9Xzz0/4m/P4vF+t7QgK66Us+9SNrvOZ3LsSq5G+6yRrhZ9PNU6JP3aW2H/AI3w3C6XM0v44p9YDtQmHnS1pMzq7cqTAzwwM/j3CeYplCqe33COnefVianlM7oxsIM1FTUKpv4SxtmUImxMdPljQe+7Tj7uiMrg2fVn0dWSsv+l/jiY6TP026PEZZfx6sMdmBLkTK+FB6hWqNg0vxdBbg3tdwVBwP/DvZRUKZje04U1p5IJ9rRg7dwenEooYG1YMrvPZzbo5gNYMTOQQd7WDPrySAMR9caov7A5EpfLy5vOkVdWg45M2qDqCWCsq8WUHs7M6OWCYzv1uarrEJsY6Mjn4/0BRGtmAx0Zl2q7p5pCpRIY+d1xLmWWiMFncxKfU8r4ZaEUVcgZ0MGKryd2Ydaq00SlFmFppMOGeT3xtG79s/nhiQW8+9cFUUy1m0s7Pnm0U6NaY3dDfE4pPx66yraoDFFXLMTHhhdCvJrFaU6uVLHlTBrfHYwXO/rcLQ15fZg3D/natEgyp0ahIiwxn53Rmey5mEVRPb0zx3b6TAx0YkKg410lQ/dcyOSp39V6HS8Pac+zg72a49DviNZ0Hf+v0ZLnPj6nlJCvjqIllRD+dkiLjDg3RnGFnOFLjpFeVElfL0tWzuou2so/aBRV1NDlI7WuT8Q7Ic2ig9eaqFYo+WD7JVFjcLC3NV9N6tIsxh1VciVv/nmerWfTAXXH7GdjOzfarVNcKWd9eAqf1ZrONIadqR493MwJdFVPIXSwMdZ4X209m8aLG9UuwRMDHfk7OpOKGiVfTfRnbIAjK08kimN11xftAPS1ZXRyMKGDrTGbItKoUTSMaZrCQEdGRU3jGp834sKHD2OkqyV2sd8Kdd3kgiAwbUVYo2LqdqZ6LOjvIQrF1zG6iz3fTOpyR9fN30KTeG+ben/PD/bixevMfwrLa5i/9gzhiQXIpBI+HtOJKS3ozJdZXMkj350gr6yaYZ1s+XFqwL9e+FypEth5PpMfD8UTk6WO7Qx1ZMzt687jfd0waQGznzZuTFtSqhXRmoLZGoWKbh/vo7RKweYFvejuem0Bvykilbf+PI9CJdDdVW3f3pjFb5VcyZ4LWWw7l87x+DyNRJSntRGDfawZ0N6abi7tHjj797vldFIBi3bHEJFcCICxnhYL+nswO9i1xcUN7zVypYrn1p9l94UsdLSk/DS9GwM6WFNUUcOEZaFcySnDzdKQzQt63VWQWn/0LcTHhp9ndOOvc+m8uDEKC0Mdjr8+iI/+vsj68FQe8rXhpxmBje7nid8i2Hcpm8He1hyIycHWRI9Tb11zkknILWPp4atsPqOp+/Tt5C7YmOgx+adTGOrI+GBUR7FNuzFM9LTY/1J/fj2RJHYgetsaM6ePG6/Ve5yxnhZz+7gxO9itQXD7zLpI/o7OFIVj04sqCf5MPSb4+Xg/Jt5ETH57VAbPrT+Lsa4WR18b2KxOIhlFlYxbepLM4ir8ncz4eUY3nlobSURyIe1qraKbO6nT3OSVVbNwVwxbItV/a3NDHd4Y5s34AMdm1Ui6kF7MD4fi2XMxS6zw9m9vxUtD2mt0090pCqWKv85lsOTAFdFRycpYl+cGeTI5yPmetaXLlSpOxOfxd3Qm/1zIEjsNpRLo196Kyd2dGeJrc0cjeHXVZ4kEVs8OatHK8o1oTdfx/xotee6XHbnKZ7tjGNDBilXXiTi3FIIg8NTvardSZ3MDdjzb54FzJr2ekd8d40J6CZ882ompPR68EcSmSC+q5KlafSWJBF4Kac/TAz2b9TohCAIrjify2e4YFCoBFwsDfngsoEHBIr+smjE/ntBw0Aa1+3BYYgHRaUUNdJX0tWX4OZrS1bkdXZ3N6OpsxrazGRpGKv6Opmx9KphKuZJ+nx8iv7yGhWM7MyXImS4f7RULDk0V1lqa2cGudHEy49sDV0Qn3JtRX+IgJquE4d8eQyU0fA1mBtpU1ig1dDyBu3KTrhtnBXjlofY8M0izmFKtUPLGlmuJyAX91V1VLWXqcSa5gMk/nUKuFO57caclqVGo+OtsOkuPXBULyEa6Wkzv5cLjfdwaXc+2cW9oS0q1IlpbMPvSpnP8GZmu0YVRx8n4POavPUNplQI7Uz1+mBpAgHM7BEEgKq2YTRGp7IjK0BBjbG9jxPDOdozobNfmXIA6wDgUm8Pne2LFLL2lkS7PDPRgcpBzs48E3U/kShXPrIvkn4vZ6GhJ+WVGIP3aW5FVXMW4pSdJL6qkk4MJ65/oeUdz+nXEZZcyYskx5EqBHx4L4OGONgz44jBphZW8/4gvfTwtGfL1USQS2Pdi4y4qq04k8sGOS/g7qR3HBAFOvx2i4QpXJVc2GNOrz6RAJxaN92Pwl4dF57w6Lnz4MJOWh3Ixo0Tj9hF+dkglEnZEZWjcfuadkCYvkv0XHyI5v4I1c4Po62XFnFWnxfG/2I+H3lB7rUquJOSrI6QVVjZ7AFI/4ehuZcjKWd15YeM5zqYUYaKnxbonejZL509LoVQJrA9P4fM9MZRUKZBIYHJ3Z14f2qFZOxojkgr4/lA8h2Nzxdse8rXh6YGezZKMUqoE/o7O4Nv9V8RKtqWRDgv6ezCtp8t9/YyprFGy52ImG8JTCUu8pqHmZK7P7N5uTOzupGEscCu8+Wc068NTsTDUYd9L/e9ZN0t9Wtt1/L9ES5776SvCOHYlj/dG+jKnmTQ1b8baU8m889cFtGUStjzZGz9Hs3vyvC1JXXIvwNmMP58Kvt+H0yycvJrHM+vOUlBeg5mBNt9O7tosJi5NEZlSyLPrzpJeVImOlpR3R/oyrYczEomEaoWSab+EcTqpEGdzA8wMtIlOK9ZwPKysURKZUkhYYgFnUwo5l1rUQDgd1Hqu9TUyQe0+t+dCJl/sjcPVwoB9L/VHWyalz6KDoih0wqfDic8t4/kN50S3vpZibFcHzqUV3XIS6nqud4J+968LrDmVjKe1Eb52Jmy/Lh5rjPou07dL3f8DwJvDvJnf30PjfkFQm3p8s19t6jGisx1fTvRvsWt3fZfsFTMDGexj0yLPcz8oqZKz6XQqK08kie9rMwNt5gS7MbOXa4uY1LRxe7QlpVoRrS2YPZNcwLiloehoSQl9Y1CDhXF8TinzfjsjLnba26gX+HXaN6C+qI3r5sgof7sHYkznfqBSCWyPyuDLfbFiZcvWRI+nB3kyMdDxgRF1vxk1ChVPr4tk3yV1Ymrp1AAG+9iQkFvGhGWh5JfX0M2lHavnBN32YrQ+X+2LY8mBK1ga6bD/pf78HZ3JO39dwMpYlyOvDuD5DefYdymbUf72LJnStcHjr2SXMuTro+hqSbE20SW1oLLBxbkx4fL6BLq0460RPoxberKBtsHmBb1IzCvX6Ibq6W7OpYwSShoJDJuyb64/CnHuvSGYGeiIo3twc0HTutE/O1M9Drzcv9k69MqrFUxfEUZkShG2JnqsmBXIG1vOcz69GFN9bdbMDWrVi6vzacW889d5Uay7o70JH4/pRNdmEOQHdZB5PD6P7w/Gi8kYqUQ9Dv3UAM9mETWVK1XsiMrgx8NXRcHOdgbazO/vwYxeLq2uGzMpr5yNEalsCE+hsLbaXjeu+kRfd42E8I2okisZ9f1x4rLLGBvgwFcTu7TgUTdOa7uO/5doqXOvVAl0ev8fKuVK/nmhX4sKD9dxNbeM4d8eo1qh4p0RPjze173Fn/NekF1SRd9Fh6hRqhp04T9oCILAqpNJfLzzsvo94mDC0qnd7okOalFFDa9sjmL/ZXURqn97Kz4b15nF/8TyZ2Q6xnpa/DYniInLQ5ErBfa/1HgRDtQxaEJeGZHJRZxNLeRsShGx2aU31WXq7WHBs4O8cLU04JHvjpNXptYnTPpsBEsOXOGrfXFNPjbY0wIJkkaNW+4l03o68/GYzuLvheU1DPjiMMWVcv43phOXMkrEccym0JFJ+f2JHnf8Xv7uwBW+rD1XTSW9/4xM4/Ut0ciV6gmVn2cEtpjkx3vbLvBbaDImelrseLYPLhatX/PzRiTnl7PyRBKbI1JFB0krY13m9XXnsR7O/yn9rNZOW1KqFdHagllBEBjzwwmi0oqbtHitW8Bfz5gu9kwMdKKnu0WLtZr+26hRqNgYkcqPh+LJLK4C1Em9ZwZ5Mr6b47/C+aFGoe6Y2nspGy2phG8md2Gknz0X0ot57OdTlFQp6O7ajlWzg+74QlGtUDJiyXHic8oYF+DIwrGdCfnqCCkFFbzyUHsGdLBm5HfHkUhg7wv9GnTtCYJA0KcHyC2tFiuF17doX/++H+Fnh5+DKQtvoOFwK3S0N+Gj0Z0oq1Yw89dwADbM69mos9uxK7lMXxGOi4UBR14dyOXMEoZ9ewxQWzKH+NqgVAmoBAGVClSCgI6WFAMdGQXlNcxaeRpQW4s/4t881uKVNUpmrQwnLLEAEz0tlk8P5KO/L3E5swRzQx3WzA2io33r7JAqqqjhy71xrA1LRhDUSZFXHu7AtJ4uzeLoplIJ7L+czQ+HrxJVKxCrLZMwLsCRBf09cG0GsfcquZLNEaksO5IgVgJN9bWZ18+dmb1d7yrZey+orFHy59k0VhxPFCvfetpSZvRyZX4/91tqq49MKRSTwVue7N0swu23Q2u7jv+XaKlzfzW3jMFfHkFfW8bFDx9u8ZhGpRKY/NMpwpMK6OtlyW9zgv5V+i5v/nme9eEpdHdtx8Z5vR7IGLFKruSdvy7wR+0Y/6NdHVg4tvM97T6tG+f7/J9YDc0mqQRWzQ6iuFLOs+vP3pGwfFm1gte3RLMzOrOZj1qNjYku2SXVd70fZ3MDOjuaIleoREdcuHVdKn9HU7Y900fjtrpu+XYG2hx+ZSDfHIhr1J2vPu0MtPnr6eA7TuB8uTeW7w7GA027a4ZezWfemghKqxR4Whuxek4QDi2gwVujUDH5p1AiU4rwtjVm61PBD5zYtyAIhCUWsOJ4IvsvZ4sJVi9rI+b0cePRrg7/qmmUfwttSalWRGsMZg/GZDNnVQQ6MikHXu4vVoCS8sr5/lA8W8+mi4K8dRjrarF8Rjd6e1jej0N+4KmSK9l4OpUfDsWTU6q+aDu20+e5QV48GuDwwCen5EoVr2yOYtu5DKQS+GycWvsoOq2Iqb+EUVqlIMjNnFWzu99xR8eZ5ELGL1MvTJdN60a1QsnzG86J2kmvb4lm76VsRvrZ8f1jDa2pn99wlm3nMjDW1aK0WtFAR+RMsnrhW8e8fu6UVStYF5aCpZEueWWawVZ7GyNefdibJ27gKPP+I77M6OWKTCohMa+cgV8cBuCbSV0Y09WBaoWSxLxy4rLLSMgtE9u57xZtmQRLI10sjXSxMtbFsZ0+LhaGuFoY4GJhgGM7g1u6eFfJlTy+OoLj8XkY6Wrx9aQuLP4nhrjsMiyNdPn98R73pMPgdqkb1ftyb6zYpTOmiz1vjfDB2vjunTGrFUq2nc3g52MJXKntWtLTljK5uzPz+rk3i7FDaZWctadSWHE8UXzvWRrpMLePO9N6Ot/VSOz9QKUSOByXw7cH4sUEnr62jMf7urGgv8dNE9av/RHFpog0+nhasvbxHvfgiK/RGq/j/xVa6tzvPp/Jk79HNrqAbQl+D0vm7a0XMNCR8c8L/f4VDsT1SS+qJOTLI1TKlSwa15lJ3VtOwLklyCyuZMEatX6UVAJvDfdhbh+3+5Y4jM8pI+SrIxq3/fNCP344FM/2qAzm93fnzWENi8o3oqiihoFfHKawQs77j/gyO9iN1IIK+n5+qDkP/a549eEOZJdUcTAmRxwdrMOxnX6D25riepdiuVLFsG+PEZ9TxrODPHlpSHu+2BvLD4eu3nA/HlaG/Plk8B2NgQmCwGd7Ylh+JAGALyb4M75bw5HA2KxSZv4aTlZJFTYmuqyaHdQsjrzXk1VcxcjvjpFXVsOjXR34aqL/A5EYL62S89e5DNaFpWiMjg7oYMWcYDf6elk+EK/jv0pbUqoV0RqD2fqOFCE+NrwzwqdBMqqXuwVz+rhhbqjNS5uiSM6vQCKBx/u48fJDHdqy0XdIlVzJurAUfjx8VVxoOpsb8NxgL8Z0sX9gHXhAnQh456/zrA9PBeDDUR2Z2duVc6lFTP8ljNJqBb3cLfh1Vvc7rtB8tjuGZUeu0s5Am13P92XOqgguZ5Ywt48b4wIcGb7kGBIJ7H6+L962JgiCgFIlIKnVdXph4zlxX+aGOpx5J0S8mB2/kse0FWHi/e8/4ssvxxJJL6pk5azufLzzUgMtqcd6OLMurPE2cAMdGRc+uFaBv5lm1b1EIgF7U3187IzxtTPB194EXztTDUvpaoWSeb+d4UhcLgY6MhaP9+fLvbEk5JVjY6LLuid64mHV+OjA/SQsIZ8PdlwSg5f2NkZ8MKpjsyTUiyvkrA1LZtXJJHJrk8t1Yppz+7g1i/NUbmk1v4Umsfpkkjj66WCmz/z+7kwMdHrgP3sFQeBwbC5f748TrZptTHR5fag3Y7o4NNlhkVpQwcAvDqNQCfz9bJ97ql/WGq/j/xVa6tzXCRI/4m/Pd42MfDcn+WXVDFh8mNJqxT3Vr7rX/HT0Kp/uisFQR8a2Z4IfGHmHiKQCFqyNJK+sGjMDbb6fEkAfr/tbgL2QXszYpSebdLi7k47R97ddYHVoMu1tjNj5XF+0ZVLxts4OpjzRz52Np1MIvZrfqBtxc/DT9G78dDRBNAS6G4z1tBrVzQIYG+DAlxM0ky57LmSyYG0khjoyjr0+CHNDHb4/eIUv9jY9kgjqkcbVc4LuqHgsCAIf7rjEqpNJSCXw3ZQARvjZNdguo6iSWSvDicsua9EmgFMJ+Uz9JQylSuCj0R2Z0cu12Z+juYhOK2JdWArbozLEDjk9bSljAxyZE+z6wHy+/NdpS0q1IlprMBubVcrD3zQc0RvYwYrnQ9rTpZ4gb3m1go93XhZnsD2sDPn00c70aGT8qI1bo7JGydpTySw7cpX8cvXMvpulIc8N9mSUv0OzjBbdDwRB4H9/X+bXE4kAvBjSnucGe3I2tYgZK8Ipq1bQ28OCX2YG3lbHlCAIFJTXkJRfzriloeLtpvraFFfKG32MRMJN9RO8bY3p6W6BvZke8TllbIq45r730pD2fLUvDh0tKV9N9OeZdWdv+XgNdWSU1yj5bGxn5EoVX+6LE11s7gQbE121o2VtUFQlV1GlUFIlV5JVXEVSfsUd77s+xrpa+DuZ4e9kyorjiVTJVehpS3n/kY58fzCe9KJK7E31WPdEz2YZTWtOMooq+XTXZf6uHU0w0dPi5Yc6MLWH810ne9MKK/j1eBIbTqeIwZGtiR5z+rgyOci5WWyGY7NKWXE8gb/OZogOQR5Whjw1wJNRXewf+G7K6xEEgX8uZvHprhjRPbCrsxmLxvmJzknX8+z6s+yIymB6Txf+N6bTPTvW1nod/y/QUuf+8z0x/Hj4KrN6u/LBqI7Ntt/GqNNz6eRgwran+zyw1/eboVCqmL4inNCEfNytDNk8v1erd736PSyZD7ZfRK4U8LY15ucZgfe9iy27pIrR358gq6SKvl6W/G90JxbtiWH3hSxxm1cf7nBb49v1Xeh+f7wHwZ6WpBZUMOjLw8iVAuue6EEvdwsOxuTw/vaLt9yR5GNnwpq5Qbz153mNUbvmQl9bRqX82she/Q72m3G9RIMgCIz87jgXM0o05EvqC5M3xdQeznzyaOcbbtMUKpXAm3+eZ2NEKlpSCT/N6MYg74Zi48WVcp74LYLwxAK0ZRK+nNiFUc0kw1CfuoS8llTCxvk96ebSejTgyqoVbD+XwbrwZC6kX+uK8rAyZEqQM+O7ObaY7lYbLUNbUqoV0RqDWYVSxe9hKby//aJ4m5ulIV9P6qKRjLqe/ZeyeePP82KHz5QgJ94Y6tPmbnAXVNQo+C00meVHropjRm6Whjw1wIMxXR/MsT5BEPh6XxxLamfpJ3d34uMxnYhKUyemymuUBDibsXJWUKPvnbJqBdFpRcRklnIlp5S47DLiskubrIjdC9ytDEU9HFsTPab1dL5pde1W6OtlST8vK1wsDMgvr+HNP89jrKfFufcewuOtXeJ2NxI4f2HDWf46l4GXtRF/PtWbkioFWcVVpBZUkJRfTnJ+BQl55cRllWoEd3dCOwNttj/T574H7fWpkiv56WgCPx6Op0quQiKBx4KcefmhDnft1HYhvZifjiaw83ym2EXqbWvME33decTfHh2tu/v/FASBI3G5rDieyLEr18RhuziZMb+fOw93tH0gtVluhyq5kl9PJPLDwXjKa5RoyyQ8N8iLBQM8Gnz+1WmumRloc+adIfdscd8ar+P/FVrq3L/z13nWnkq5K/v3W+FqbhkPfX0UpUq98P+3SyDklVUz6rvjZBRX4Wundt9tjTFijULFBzsuismNEZ3tWDzB774bRlTJlUxaHkpUWrF6dOypYEz11ecv5KsjoskFqF3G5ga78VgP5xsm/wRBrWcWlljAsE62LJ3WDbj2P9DT3ZzHeriw9PDVJp31NszryayV4VTJr3VuBXta8NucHvwZmcar9UxeGsPSSId2BjriuHtj1Ekr1O37+ykBtKu9hn+1N5YlB+OxMtblh8cCmLj8WnFykLe16FB8PS+EePFCyLX/70MxOcxedRo9bSlHXx2ItYl6nL/OJOZGfDymE9Ma0YW6FZQqgRc3nmN7VAY6WlJWzupOsGfDz4IquZKXN0Wx87y6uNYShgiCIPDM+rPsjM7ExkSXHc/2aRZZgztFqRI4lZDPljNp7L6QJcapOjIpwzrb8liQM0Fu5m0jeg8obUmpVkRrC2Zjskp4dXM059OLNW73sjZi69PBN626FFfI+WzPZXFEy9JIl3dH+jDK377tA+MuKKtWsPpkEj8fSxA7ahzb6fPkAA/Gd3sw3frWhCbx/vaLqAR1B973jwUQm13KrF/DKalS4G1rzOo5QRSU13AutYhzKUWcSy0iLqdphxhLIx2q5SoxcLkfWBjqiN1tt0N9PQQjXS0ufPiwxv11bi0Pd7ThqQGejP7hBMANW6z/uZjF/DVnkErgz6eCb5hUVqoEUgoquJxZQnRaMZHJhUSlFVHdxHhAU/g7mtLHy5K+XlYEOLe768TMnVLXafPxzsvieQ1yNef9Ub53Jbxelyj6+VgCJ+LzxduDPS2Y18+Dfs2gX1AlV7L1bDq/Hk8Ug3SpBIZ2smVuH/d7LuTdGsgqruLtrec5ULu46ORgwvdTAjQ68hRKFV0+2kdZtYIdz/Shs+O9GeFrbdfx/xItde7rxpaeG+TJSw91aLb9Xs/Tv0ey83wmIT7W/DKze4s9T2viam4Zk5aHkldWg5e1Eb/O6t6qChk5pVU8tTaSiORCJBJ119GT/T3uewwrCOrExV/nMjAz0GZbPZFtQRDot/gQqQWVjOhsx6XMEhJrXbJ1tKSM7GzH1J4uBDibNXgdf0dn8My6s+hqqXVkHdsZkFNSRdCnBxocg4GOjEHe1uy9lK0xOnh93GNjossfC3rzx5k0vj1w42TOmC72fD2pC3+dS+fFjVEN7jfS1aKsWoGHlSHPDvLi7a3nKa9R0sHGmF9mqjvXquRKhi85RkJuOZMCnYhOLxYTaFue7M2yI1fZ10Sn1osh7Xk+xEs8j+OWniQypUijS1IQBF7YeI5t5zKafB1aUgm/P97jjqdE5EoVT/2udqvW15axZm4QgY24+6lUAh/9rR75A5jbx423h/s0a4GqvFrB6B9OEJ9TRpCbOb8/3uOeF8Hjc0rZEpnOX2fTRSMoAHdLdVfUuG6Od11YbOP+05aUakW0lmBWrlTxw6F4fjgUj1wpYKKnxatDvRnsbc2jP54gu6SaEB9rlk3rdkujLmEJ+by59bzYPRLo0o73HvFt1bbwDwJl1QrWnkrml2MJohWvrYke8/u7MyXI+YHTk9l7MYvnNpylSq6is4Mpv87qzumkAp76PfKGj3Mw06ejvQkGOjLKqhVUypWUVCqIzym7abfP9WN7U3s4o6slQ1dbilyh4pfjiRrbTwp0orxGwc7zmTcd97tTXgxpT4VcIQpeArw8pD0m+tqY6mtjaqDNE6sjUKgEFo7tzDt/XRA7c65+OrzRjpC0wgpGLDlOcaX8jkRPQV0tvphRzJnkQvZeyiY8seC2Hm+gI6OXuwWDfWwY7GONjcm9qbbFZpXy4Y6LnLyqThrZmerx1nAfRvrZ3fHCos4lbtWJJDFRJJNKGNHZjnn93JtFwyitsILfw1LYeDqVgtoA30hXi0ndnZjV27VVLdzuB4IgsD0qg/e3X6SoQo6RrhYLx3bWcJKcu+o0B2JyeHekL3PvkTZPa7mO/xdpqXP/0Y5L/HoikQX9PXhjmHez7bc+V3PVYtWCAHteUOsc/leoL95saaTD15O60NfL6n4fFudSi1iw5gxZJVUY62mxZEpXBnawvt+HBcDyI1dZuDsGmVTCmrlBGl11dW6ROjIp594fgo5Myt/Rmaw4nqhRZHZsp8/wznYM62SLn6MZcqWKwV8eIb2okucHe/HikPZkl1TR47qEVDsDbWb1dmNMV3vmro7Q6MhqjKac9j4b25l2hjrMX3MGUHf9rn+iJ8uOXBWTV2MDHJjaw5lxS0Mx1JGxeUFv5q4+TWZxFU7m+rw+1JsPd1wit7QaC0Mdlk/vRqCrOeGJBWKHVC93C0IT1Nf/Y68NxFBXi6HfHBWNhK7n5SHteXawOjF1Ij6Pqb+EoSOTcvjVAaIxiSAIuL25q9HH18WV5oY6bH8mGMd2d3atrlaozWOOXcnDWFeL9fN6NhpbCILAT0cTRPfnkX52fDnRv1kL1Fdzyxj9/QnKqhU83seNd0b6Ntu+myK3tJpd5zP5MzKNqLRr71sTPS0e8bdnbIBjo4nVNh5cWiwpNXPmTObOnUu/fv3u+iD/K7SGYDajqJJn1kUSmVIEwEO+Nnw8ppPYtno2pZBJP52iRqFiXIAji8f73VJGvlqh5KcjCfx4+CqVciUSCYwPcOTVoR3uayvov4HKGiXrw1NYfvSqeOG3NNLlib5uTOvpclOnqtbEyat5PPZz2A23MdXXZmoPZ2xN9SirVnA1p5xTCfmkFzXUNTDUkeFpY4yDmR67zqs1FnRkUoz1tMgvr+EhXxse6mjLK5ujMNSRse+l/hpuaE/9fkZ8HFzTVziTXKChV9Va+HFqAF2dzbAzvfYa5EoVE5eHcjalCH9HUzYv6H1XHUtZxVXMWhlOTFbpDbcz0dPCSFcLQ10tCsprGnSM+TmaEuJjQ4iPDT52xs0eWBSU1/Dt/jjWhqWgVAnoaElZ0M+dBQM87njsIqOokt9Ck9lwOkXsUjTQkTG5uzNz+rjecfBZh0olcCw+jzWhSRyMyREFZB3M9Jkd7Mqk7k4PnJNeS5NZXMlz689yOkkthjuvnztvDPVGKpWIWkDTejrz8Zg70/i4XVrDdfy/Skud+zqB4/HdHPlign+z7bc+dY6R/6UuqfpkFleKZiQAT/R146UhHe6bFf0fZ9J4a+t5ahQqPK2N+HlGIG6tRBvxUEwOc1afRhDgf6M7Mv267ugVxxP539+XGnUfPZdaxG+hSey5kCVqHkJDIfDPx/lx5EouO2t1F+t4d6QvU4KckEokTF8RxumkQmxN9CiqrNEY17sR03u68NHojlQrVIz98SSXav/mfz0dzNLD8fxzUd3F9ERfN7GAFrzoIJnFVayYGUgHW2Om/RJGUn4Flka6fPpoJ749cIWLGSXoyKR8OrYz47s5ivps9Tn15mBsTfXE8e6mePXhDjw90BNBEJjy8ylOJRQ0uI4cuJzN3NVNOyoD+NqZ8MeTve445qisUTLz13DCkwpoZ6DNxvm9mtRR3HYunVc2RyFXCvR0N2f59EBxnLM52HMhiwVr1QnE7x/ryki/5tewyi+rZs/FLP6OyiQs8ZqIvpZUwoAOVowNcGSQt/UDV3Rv49ZosaTUmDFj2LVrFy4uLsyePZuZM2fi4OBw1wf8b+Z+B7NH4nJ5YcNZCivkGOtp8cmjnXmkkW6CPReyeHpdJEqVwIxeLnw4quMtLyiziqtYtCeGrWfTAXXSYG5fd57o69a22LpLqhVKNkeksfTwVTFBU6cjMDPYtVkElluCvLJqDl7OYe+lbI7H5zYa2Ezv6cKaU8mNPPoaWlIJnRxM6eJkhp+jKX6OprhbGolJ09SCCkZ+p+4W6mhvQlx2KXKlutvojzNpnEkuZJC3NStmBorv58OxOcxaeVp8jhm9XPhodCcuZhQzYsnxZjwLNybY0wITPW1KquQaY2JNYWOiS1endnRxNmPvxSwiU4ow1tNi13N976rD5lJGCXNWnSarpAoTPS3szfTF5NSYLvYEupqz91I2J+PzUNSz5PGwMsTb1gQTfS0uZ5ZyLrVIY7/2pnqE+KoTVD3dLe4qaVatULL6ZBLfHYwXg+yhHW15e4TPHb12QRCITCnk1+NJ7LmYJXalOZnrM7OXKxO7O931/1ZxhZzNZ1JZeypZQ4i+j6cl03u5MNjb+oF222xpFEoVX+2L48fDasvuoR1t+XpSF7ZHpfP6lvP0b2/F6jlB9+RYmus6PmjQIPr378/777+vcXthYSHjxo3j4MGDd3uo/zpaKob6MzKNlzZF0cvdgvXzejbbfuvIK6um18IDyJXCHTml/VuorFHyya5LrD2l1m5yMNPnnRE+DO1ke8+6IZQqgc92X+bnY+ou6RAfG76e5N9q4tP4nFIe/eEkpdUKpgQ58+mjnRqcm+krwjh2Je+GGkOVNUqOxOWw83wWh2JyKLsFmYNxAY7oaElQqgQNo5fboe6YVCqBZ9efFfWQ6qMjk/LJo52YEOgk3vbB9ousOpnEhG6OLJ7gT05pFTNWqItj+toyFk/wY0dUhpjQmhjoyGtDvRnzwwkNIfbF4/3E/b68KYotkerXUb+bqo7Xh3rz5AAPQq/mM+XnU+hqSTnxxiDROVepEui18ECTHVd1jOhsx/ePdb3j93BplZxpK8KJSi3CyliXTfN7NZkgPRGfx/w1ZyirVtDBRi17YWvafIX/OldrAx0Z25vJNbOwvIZ/Lmbxd3QmoQn5YowFagmIMV0deMTfvlkci9to3bTo+F5ubi5r1qxh9erVXLp0iZCQEObOncvo0aPR1m4dH/CtifuZlFp7Kpn3tl1AJaj1OX58rBvOFk0v4LaeTRPnvScFOvHJo51ua9EUmVLIhzsuEVW7ODUz0OapAR7M6OXalgG/S+RKFVvPpvPjoXhxgWusp8Ws3q7MCXYTxSDvJ7ml1eyMzmDn+Uwikgs1RuEczPTp5tKO7VGa8/o6MqnoNFZHV2czerlb0MvDgm4u7W5ajToSl8vsleGoBLVdbJVchYGOjCWTu/LU75HUKFV8O7kLo7uoE+gqlUD/L9TaDKBO9px8YzC7L2TelsNec6EllYjJnpm9XFhdrwo4KdCJ8+nFxGSVNGnRvHBsZwZ0sNLopLpVDsfm8PTvkZTXKDHV10ZbJiGvrAYtqYQPR3dkao9rop7FlXIOxeSw50IWB2NzNPQmglzNCfa0RF9HSnhiYYNEpImeFkN8bRnhZ0sfT6tbTlAJgsDuC1ks3H1Z/Hv52pnwzggfejciEnozahQqdp7PYOWJJKLrtY73dDdnTrAbg31s7lo8+3xaMWtPJbMtKl08B8Z6Wozv5si0ni54WBnd1f7/a2w7l86rm6OpUaoIdGnHxEAnXtsSTZCbOZvm97onx9Bc13GpVIqFhQXBwcH8/vvvGBqqFyHZ2dnY29ujVN6dEcG/kZaKoc6mFPLojycxN9ThzDshzZ4g+floAp/suoy/oynbnunTrPt+EDlwOZv3tl0Ui2tdnMx4brAnAztYt2hyqqRKzvPrz3IoNhdQO7K9MNir1RhIFFfIGf3DcZLyKwhyNWft4z0aXB8rahR0+XAfNUoV+1/qd9OkQXGFnN0XMnnjz/MteegAhPhY8/OMQAA++vsSK08koS2TIFdeC1isjHVZNq1bg8RsXWLIzECb02+HoC2TUlol56nfIzl2JQ+pBD4c3Yn8smq+PXAFQYD2NkZM7eGiYdRUl9QCtV6j97t7AHWRyamdgTjmX8ebw7yZ18+dMT+eJCq1iGcGevLKw9d05b7aF8eSm+hkwbXOqzulqKKGyT+dIiarFHtTPTYt6NVkZ/bFjGJmrTxNbmk1Dmb6/DY3qNliCYVSxYxfwzl5NZ8ONsb89XTwHXUzZhVXse9yNvsaKWJ2djBlhJ8dIzrb/edlCv5r3DNNqcjISFauXMkvv/yCkZER06ZN46mnnsLLy+tudvuv4n4kpQRB4Mu9cXx/SO1+NqGbI/8b0+mWEkObTqfyxp/RqAT1mN+SKV1vK6EkCAJ7LmTxxd5YrtbqTdmY6PLsIC8mBD6Ygt2tCYVSxc7zmXx/MF7UvTHQkfFYkDNz+7rdUWLibiiulPPPhSy2R2Vw8mqeRuKkk4MJQ3xsGeJrQwdbY04nFfBnZNpNq3Ezernw3kjf20qIrgtL4a2tmgFYFycz+rW3YsmBK5joafHPi/3E87P08FUW7bmxBfDN2P18X3zsrv1Pn0kuZMKyk00mj26XPxb0EkUwK2oUnE8rZl14SpNCnN62xjzib88jfvY3TD7X8XtYMu9tu4hSJWCkq4UgCGJyaum0gBu6RJVUydlzIYu/zqYTmpAvJiB1ZFIG+1gzuos9UomEQ7E57LuUIzp2gjpBM8TXhhGd7ejjZdnkZ8K51CI+/vsSEcnqES5rY11efbgDYwMcbztxlFdWze+nUlgblkxubQVUR0vKmC72zOrthq/93X02F1fI2RaVzobwVHFsAdR22TN6uTC6i/19d3V6kDmdVMDcVacpqTeK0tXZjK1PBd+T52/OpNTZs2eZP38+5eXl7NixA1dX17ak1A1oqRiqWqGk8/t7qVGqOPLqAFFQujkQBIGQr45wNbechWM7MyXIudn2/SBTWaNk6eF4fjqWICbsfe1MmNbThVFd7G9qtHO7JOeXi/pIulpSvpzo3yLjSXeKQqli9qrTHLuSh4OZPtufCW7URa9upMzBTJ/jrw9sNIlXVFHDwZgcdkZncvRKrkZSCGDRuM4M7WjH4r0xYtfaOyN8qJIrWX40QexA7tfeipySqiZH+V0sDJAASfkVWBjqsOeFflgZ64p6WECDpFTdeF1jrz/o0wMUlNewdm4P+nipYw65UsVbf55n8xl1rDi/nzt9vCx5aVMUuaXV6GvLNLRFbUx0CXsrRPzd9Y2d4s/PDfJkz8Us4rI1NbLeHu6Dk7k+C9ZGYqKnxck3B4vvv8S8cgZ+cRhovHBah0QCP08PJMTXptH7b4Xc0mom/RRKQm45rhYGbJrfS5RWuZ7Uggpm/BpOYl455oY6rJrdvdl0fHNKqxj+7XHyyqo1knw3QhAE4rLL2Hcpi32XsjU0okD9vz3SX52Ias7P1zYeLO5JUiozM5PffvuNlStXkpaWxrhx40hPT+fIkSN8/vnnvPjii3e6638V9zopJQgCn+2JEQWVXwjx4vnBXrdVidpzQS1OXaNQ0dXZjGXTut22gLGitrPnm/1XxMqYrYkeT/RzZ0qQU9sC7S5RqdTOY98djBcXwdoyCY92dWBePw88rVuuG0OuVHEoJoc/zqRxODZX44LdxcmMR/ztGdbJFnszfZLzy9l4OpU/I9PJKqlqdH8uFgYsm9aNo3G5fLYnBkGA3h4WLJnS9bZaexurbk3v6UJ0WhFRacUEe1qwfHog289lNEhg3Q6R7w65oSNIZY2SeWvUQpY34sNRHVl7KvmGFslmBtpM7u7MI/52WBjqMuaHE2SVVNHbw4KXH+rAifg8DsXmcC61SKMzrYuTGaP87Rndxb5BkCtXqvhk52XR2aU+7laGrJjZ/bZ0NjKLK9l+LoOtZ9M1AlkHM30mBDoyLsCRjKJKdp3PZPeFLI22eGNdLUJ8bRje2Y6+XpboactIL6rk8z0xYvJNX1vGvH7uzO/vftufG+fTilkdmsT2cxni+9TaWJcZvVyYEnRjG+2bIQgCYYkFbDydyq7zmaKLoY6WlGGdbJne04VuLu3aBDubiei0Iqb9EiYmphrTVmkpmjMplZWVhampKbNnz2bfvn1s3rwZHx+ftqRUE7RkDDVu6UnOJBfyvzGdmH6HVu+NcT6tmEe+P46+tozwtwe3mjGx1kJuaTW/HEtgzalkUQPJUEfGCD87hne2o7eH5V27uoZezefJ389QVCHHxkSXn2cEtjojnv/9fYkVxxPR15ax5cneTRZH3v3rAmtOJTO1hzOfPKrWP1KpBM6nF3M4NpcjceoYoLGCWAcbY/55Ua0DXCVX0mfRIfLKqvl8vB8TA53462w6L2w8B6iTVHraMt7560Kjx/HOCB987EyYtiIMQYCfpnfjoY62GlMW1+NuacjBVwY0eQ7e/DOa9eGpTO7uxGfj/MTbBUHgu4PxfLUvDoC+Xpa8N9KXD3dc4nh8w9jq/AcPif9n45eeFItZ2jIJPzwWwDt/XWgwkvf2cB/Wh6eQkFfeYCzy0R9PcDaliClBTuyMztQoiNTHUEfGtrscecssrmTi8lBSCyppb2PEhnm9mowx88qqmb3yNOfTizHUkbF8eqCYzLtbTl7NY9ovYagE+GKCP+O7OTbYRq5UEZlcyL5L2ey7nE1yPWkCiQS6OpkxxNeWhzva4N7WFd4GLZiUksvlbN++nZUrV7J37178/Px4/PHHeeyxx8Qn2rp1K3PmzKGwsPDuXsW/hHudlKqzlYfGxRJvldCr+cxfE0FJlQJrY12WTe9GgPPtayJUK5SsD0th6ZFrgt3tDLSZE+zGjF6umBq0BWt3gyAIHI7LZenhq6JzmkSi7nJ7coAnXZzMmu25rmSXsikila1n00VnQFAHPaO6XOvQqZIr+ediFhvCUzXm+Y31tBja0ZZRXezp5W7BudQinl4XSXZJNTpaUt4d6YuVkQ4vbYqiokaJnalercj3rb3vBEHg9S3RDTqxnhvkyZKD8Td9vJO5vjgi1hi369JUUaPA971/Gr2vnYE2Z997iCq5kt6fHRSd2G4FU31tjr42UEPssrC8hr2X1B1roVevCUnqyKQ83MmWx4Kc6eluTm5ZNU//HikKSNfnIV8bFk/wvysRzcuZJWw8rX6PFFeqRcMlEujf3orJ3Z0Y6G1NdFoxO6Mz2X0hs1H3njokErXexSsPdbgt/YQquZKd0ZmsOZWsoXPl72TGnGBXhnWyu6sFT05JFX9EprHpdKqGVpS3rTGTuzsxpqsDZgb3f5z230h0WhGjvj8h/p64cPg9Sfo113VcJpORmZmJtbXa7evjjz/m448/5vXXX+fjjz9uS0o1QkvGUHXdHcGeFvz+ePPpSn25N5bvDsYzvLMtP07t1mz7/bdRWF7Dlsg01oWniE7OoI4VBntb08fLil4eFjiY3V4H+LqwFN7bdgGFSsDf0ZSfZgTeM2fYW2VTRCqv/RENwNKpAQzrbNfodoIg0G+xWm7g8T5umBloE5FcyJnkQg0Rc1DHYkM72WKsp8XHOy+jLZOw/6X+YpfKhvAU3vjzPPamehx+dSARyQXM/DUcuVJgbh83ujqbNSlh8N5IXyYEOjLs22OkFVYyMdCRz8f7N9DoBHVB6u0RPjz1eyRSCZx7/6EmNRpPxufx2C9hmBloE/5WSINr8/aoDF7/I5pKuRIHM32+mOBPXHapxvgewKePduaxHuqOxKfXRWqIuXtYGbJonB8zfg3XEIIH9ThgXHYZtiZ6HH1toPj8a0KTeHfbRTram/DGMG9m/hreZBe8q4UBfz/X9646/VILKpiwLJSskio6OZiw7omeTZ6zsmoF89dEcCI+H22ZhK8ndWm2DsAlB67w1b449LSlbH+mD+1tjMksruRoXC6HY3M5Hp+n8b7T0ZLSx9OSIb5qB+Y2k6s2rqfFklKWlpaoVCqmTJnCE088QZcuXRpsU1RURNeuXUlMTGy4g/8g9zIptSMqg2fXqy8oNxJDvFWS8sqZtyaCuOwydGRS3hruzczerne0CKhWKPkzMp1lR66KmXUjXS0e6+HMjF4ud+1w1QacSS5g6eEE9l/OFm/r5W7BkwM86OtleUd/t5IqOTuiMtgckaaxwLc00mVsgANjAxxEm+v4nDLWnkpukJDo62XFpEAnQnytG4xq5ZdV88rmKFHvYWhHWx7v68ZrW6JJyC1HWybhnRG+zOjlckvHL1eqmPdbhLi/G+HvaNqg3bgp6tsJ3w7FFXL8P9rb6H27nuvLxYxiXq0NTOsY2MGKfu2tWBOaTEJeeaOPHdHZjqk9nenlbtHgvOSUVrEzOpM/I9M1rKKbQiaV8MZQbx7v69ZsC/y6xOT68BROJRSIt1sa6TKpuyNTe7hga6JHZEoh26MyGrjpgHo86+3hPgQ4t7sl/Y/UggrWhiWz6XQqhbUuetoyCcM72zGzt+sdJdXrkCtVHInNZWNEKgdjckTRTkMdGaO6ODC5uxN+jqZtXVH3gPbv7Bb1zO6m8HI7NHenVF1SCmDLli3MnDmTysrKtqRUI7RkDJWSX0G/xYeQSuDIqwObTevk4a+PEptdyjeTujCma5sZ0M2o6zr9O1otap17XUeLi4UBQa7m+Dma0tHBFB9bk0Y1bxRKFR/X6wIe5W/P5+P9Wp2m6ZnkAqb8FEaNUsXzg714cUh78T5BEMgtqyYuq4yYrBJ2ns/kbK1z9vUY6WoR7GnBgA7W9G9vhb2ZPgqliuFLjhGXXcYTfd14e4SvuN+HvzlKXHYZbw33ZoivLWN+OEFxpZz+7a3Qlkk1YsfreWOYNwm5ZWyKSMOxnT67n+/LxYwSJv90SmO76T1deH2YN0a6WgxYfIik/Ap+nRXIIO/GR9yUKoEenx4gr6yalbO6M9DbusE2MVklLFhzRiwCTe/pwl9n0ym9Tsh95ezuDOxgLXagTejmyNEruWSXVPNYD2eG+Ngwd/XpJpNLX030Z2yAujuosLyGoE/3I1cKHHi5P4dicvh452VxWw8rQ1GiBNRx26+zut9VDBCfU8ak5aHkl9fQzaUda+YGNdkdXq1Q8tKmKHZGZyKRqDvvZzTDtVCpEpj6yykxbnM2NyCloEJjm3YG2gzsYM0QXxv6tbd6oNzA27j3tFhSas2aNUyYMAE9vbZM6K1yr5JSsVmljPnhBJVyJfP7u4uWq3dLWbWClzedE90vBnSwYvF4f6yM72zspU4T6cdDV4nNVo/6SCXwkK8ts4NdCXIzb1vY3SVXsktZdiSBbefSRaHBjvYmPDnAg2Gd7G6qxyMIAqeTClkfnqIxlqQllTDQ25qJgU4M6KAOYlQqgSNxufx6IlFjXK1udGtCoNNNq5yCILDieCKL9sQgVwo4mOnzwaiObDmTxp6LWYBaTHPROL9bGrdKyC1j0JdHbrjNyTcG8Xd0Bp/uujVdqaTPRtzSdo1xNC6XGb82bVN8PVc+GYZ2rZ7WzRwBPawMmdrDhUndnRoNDC6kF/NbaFKTOl42Jrp8/1gA3Wu1q1qCxDz1COcfZ9JEbSmpRO2AZGmsy8n4PI2Oo+txMNNnVBf1KGJdArSOuvffmlPJHIrNEUcYHcz0eayHM5O6O92xu4sgCFzMKGFLZBo7ojI0ugO7ubRjUncnRnS2awvI7iEqlUCPhQfERauulpS/n+2DVxN22s1Fc13Hk5OTcXZ2bnCNu3jxIhEREcycOfNuD/VfR0vHUHWuZo/3ceOdkb53vb+ckiqCPj2ARALn3n2orRv8NlGqBM6mFLL/cg6hCfmcT2s4liaVgLuVEe6WhrhZGuJqaYi5oQ6f7Y4hsbaQ88pD7Xl6oGeriyeT8soZUKtXJJHAB490JK2wgpSCCpLzK0gtqKC8pvHktI2JLoGu5gS6tCPQxRwfO+MG2pu/hyXz9tYLtDPQ5vCr1zqqj13JZfqKcAx0ZOx9sR8zfg3X6E67GS4WBiTnVyCRwMZ5vUjKK+e1LdcKavamenwx0V9Di/KNLdFsOJ2qkRxrjPe3XWB1aDJjuzrw1aQujW5TUiXn052X2XA69YbHObyzLca62myMSGVsgAPjAhzFccPl07uRW1otjifam+qRUXxNVsLfyYxtT1/TKZz5azhH4nJ59eEOPDXAg5c3R/FnZLp4/0ejO/LetmsdW08O8OD1obfeTd8YlzJKmPLzKYor5fRrb8UvMwKb7OxWqgQ+2H5RdLF+brAXL4bcnlwLqGOdhLxyTl7N52hcLvsuaSYnJRLwdzRjQAcrBnSwprOD6V0bwrTx3+GeCZ23cXPuRVJKrlQx6vsTXM4soY+nJavnBDXrB4YgCPwWmswnuy5To1BhYajDwrGdeaij7R3vU6USOBSbw68nEjkRf23Ey9fOhFnBrozyt2911a0HjfSiSlYcS2R9eIooCuliYcC8fu6MC3BscH5Lq+RsPZvO76dSxIQhgJe1ERMD1WNJdcnIsmoFW86ksfpkktjNI6lNNEzr6UIfT8vbfg9GpxXx7PqzYifdtJ7O2Bjr8d3BeGqUKiyNdPlyoj/921s1+vjM4kq+PxjP72EpTT6HmYE2RbVdNLdK/CfDbkt0vTHqC2/eiOXTu/Fw7f+VIAi8tfUC68PVr6evlyVphZVi0F0fMwNtZvd2Y1ZvzZHY1IIKXth4jjPJjY9Tj/K3550RPk0KazYncqWKfZey+S00SaN7qo5XH+7AvH7uSIDQhHz+OpvBPxezNGyt60ZF+3lZcfJqHmvDkjVGLvt6WTKjlyuDvK3v+DMwq7iKv86l82dkmoY4qoWhDmO6qruiWjoJ0kbjRKYUMvbHkxjqyPBzNCM0IR8/R1P+eiq4Rd207qeL7n+dlj73h2JzmL3yNIY6Mg69OuCux092nc/kqd8j8bEzYffzfZvpKP+7lFbJOZ1UQGRyERcyirmQXqxRIGiKDjbGWJvoYm6og7GeFiZ62hjraWOir4WxnjaGOjK0ZVJ0tKTq7+LP6s8RdSJMQCWAIIBKEMTv1QoV1XIlVQol1XIVVQolVXIVVXIlFTVKSirllFTJKalS1P6soLRSTnpRpVjkuxESCbhaGOJta8zuC+rC3PSeLnw0uuMNEw6lVXIGLD5MfnkNH47qyMzeruJ9s1aGczg2l0mBTmyMaDqxs6C/B8uOXEVHJsXdyrCB4Pnk7k6kFFRoONo9PdCDZwd5NYgpt51L5/kN5+jsYMqOZ5t2oIxIKmD8slCMdLWIeCfkhrH/ifg8Pt11mYsZ1wxFLAx1yG9EAqHueRfuuszyowm0M9Bmzwv9+PVEIsuPJKAtk9DR3lRjCuCvp4NF2Yv14Sm8+ed5/BxN2f5MH6rkSiYuDxWdewd7W/PkAA/GLwsVH//lBH/GNaLFdDucSS5k2i9hVMqVjPCzY8nkrk3GM4Ig8O2BK3yzX62nOrWHMx+N7nTT+Ce9qJKT8XmEXs3n5NX8JjVfQe1WOL+/x52/oDb+0/xrk1I//PADixcvJisrC39/f7777juCgoKa3H7z5s28++67JCUl4eXlxaJFixg+fLh4vyAIvP/++/z8888UFRURHBzM0qVLNdwDCwoKePbZZ9mxYwdSqZRx48bx7bffYmR0awJu9yKYXXbkKp/tjsHMQJv9L/W/486AmxGbVcrzG86KF6lhnWz5YFTHu57Vj8suZeWJJLaeTRMdWdoZaDMuwJHJQc4tKtr9X6CwvIbVoUmsOpkkJmQsDHWY1tOF6b1cyC6pYu2pFLadSxfn7fW0pYz2d2BKD2f8640lpRVW8OvxJDZHpIqt08Z6WkwKdGJmb9e7Hn8oq1bw6a7LrKtNLDm202dWb1c2nk4VBcGn93ThtaEdRFHLnJIqfjx8tVHh7pvx+Tg/Fu+NbTAuUJ+76ZKqo26hUscbw7z5bHfDLq2651KqBN7eep4Np1ORSODbyV0Z5W+PUqV2t/z+UDyX67m81WGkq8W0ni7M7ePG3ktZLNwVo5HUaQxdLSnTerqwoL/HHXdA3ioX0otZtCemURF4Qx0ZYwMcmdHLRUz6VMmVHIzJYdu5dA7F5DbpgjO3jxvTerrclkB7fcqrFfxzMYutZ9M5Hp93zU1QS8oQXxvGBTjQ18tK7GBr4/7wwfaLrDqZxCP+9rw7wodBXx6hrFrB4vF+TAh0arHnbUtK3T9a+tyrVAKP/niCqLRiJgU6sWi8380fdAM+2nGJX08kMqOXCx+N7tRMR9lGHYIgkFNazeXMEpLyylkblkL8DcxCWjNdnMywNtbFsZ0Bzub6uFgY4mxhgGM7fXS1ZMiVKrp+tI+yagV/P9uHTg6mN9xfnZaZu5Uh/7zQT7xexeeUEvLV0Rs+1t3KkBdD2vP8hrOoBPjk0U7EZZWyupHR+vrsfbEf7Zso0mSXVNHj0wNIJXD2vYea1KtUqQSCFx0ks7iKZdO6MbTTjQveqQUV9P38EACrZnenf3srXtoUxdaz6Q22nRToxNy+bry06RwX0ksI9rRg9ewgnt94jp3RmZjoaRHoas7BmBzxMXVxWF5ZNUGf7EclwPHXB+LYzoC0wgr6LDokbrt2bg+sTXR56Otr53f1nKAmi6e3ytG4XOauPo1cKfBYD2c+GdPphgnJNaeSeW/bBQRB3S329aQuGnIZeWXVtQmoPE5ezdcQKAd1rNPNuR29PdTjoB3tTVh65CqL/4lFV0vKtmeCG3Sqt9HGrfCvTEpt3LiRGTNmsGzZMnr06ME333zD5s2biY2N1dBnqOPkyZP069ePhQsXMnLkSNatW8eiRYuIjIykUyd1oLBo0SIWLlzI6tWrcXNz49133+X8+fNcunRJHFEcNmwYmZmZLF++HLlczuzZs+nevTvr1q27peNu6YCqsLyGPosOUl6jbNItoTmpkiv5Zv8Vfj6WgFIlYKyrxWvDvHksyPmuu7MKy2vYcDqVNaFJGi213V3bMbm7M8M72zWqI9DGrVFRo2Dj6VR+OZYoOiJej6e1EVN7ODM2wFEjgIjJKmH5kQS2R2WIejrulobMCnZlXIBjs48wHb+Sx+tbosXjHOJrg0wiEcf5bE30eGOYN5czS1hxPFEcU6xjRGc7XhvaARsTPZ5df7ZBO3IdVsa6N0xIbV7Qq1lG25QqAY+3dt10u5F+diwa58dbW8+z7VwGUgl8Pr7h/7VKJbDzfCaL/4ltMO9/I/wcTflqYhc8rAw5EZ/PV/tiiazVq9DTljKzlytPDfBs9pGT5Pxyvtgbx44otaOetkzC1B4uzOrtypG4XFaHJmmMEvRyt2BmbxdCfGyoUqjYfi6D5UevNgik6hjYwYqxAY4M8bW55Q5LpUrgVEI+WyLT2HMhS0MANcjVnEcDHBje2e6uhN/baD5Kq+T0WniQsmoFv80Jol97K1Go2sZEl2OvDbprx66maEtK3T/uxbk/k1zAuKWh4mhSkNudf+Y/9vMpTl7Nb/FEaRvqhfgH2y+iVAkEOJuxbHo3dGRSskuqyS6pIrukiuJK+bVupSoFJVVySqvkVNYoqVEKyJUqahQq5Er1V7VChQSQSCRIJde+Q93voKslQ09bKn7X05ahqyVFV1uGgbYMU31tTPS1MdHTqv2uzdqwZA7Xal1umNeTnu4WN319de9LMwNtIt8ZcsNu0NzSavovPkRFjVJM7NQ54y5spADmYWWIQiWQnF8hjvHP+y2Cwgo5E7o58vl4Pz7/J5alh682+ZxR7918PHXQF4dJyCvnlxmBhPg2risF8MnOS/x8LJGRfnZ8/1jADfd58moej/0cpuHsV1RRQ8hXR0WJgPpIJOp4tU4D6q3h3szo5cq0X8KISC7EwUwfbZlElBF49eEOPD3QE4BJy0MJSyzg3ZG+zO3jBsD+S9k8/luEuP/4T4aRUlChIRux7okeGqOMd8Ku85k8sy4SlQBPDfDgtZuMBu6MzuSFjWdFGYx5/dyJySrhdFJhg8StTCrBz9GU3h4W9PawpJtLuwaxk0olMHvVaY7E5eJhZciOZ/u0Oae3cdv8K5NSPXr0oHv37nz//fcAqFQqnJycePbZZ3njjTcabD9p0iTKy8v5+++/xdt69uxJly5dWLZsGYIgYG9vz8svv8wrr7wCQHFxMTY2NqxatYrJkydz+fJlfH19OX36NIGBgQDs2bOH4cOHk5aWhr39zd0OWjqg+uKfWL4/FE9HexP+frbPPZufv5xZwht/nieqtu3Vx86Ed0b4EOx599akCqWKI3G5rA9P5VDsNVFhYz0txnRRi2t3cTJrdVoBDwIp+RWsPJnIyhNJDe7T05by84xA+nheE0U/nVTA0sNXNapIfTwtebyvG/28rFp0ZKasWsHiPTGsOZWMSlB30gS5mRObVaqRtKxPN5d2vDXch24ualFrhVLFV/vi+PEGgdWNaE53r1sd4atDSyrh28ldGeHXuCsPQI1CxfrwFJYcuNJo+3od2jIJrz3szexgV41RREEQOHolj6/2xYn/y2YG2jw/2ItpPV3uujMos7iSHw7FsyE8FYVKQCKB0f72vDSkA84W17rqBEHg5NV8Vp9MYv/l7CaFSHVkUkb62fFQRxvSCivZHpUhttKD+jNipJ8d4wIc6ebSrsHfThAEzqYWsSMqg53RmRoW0S4WBozt6sijXR00jq2N1sEPh+JZ/E8sntZG7HuxHxKJhGqFkn6fHyK7pLpZxiaaoi0pdf+4V+f+tT+i2BSRhoOZPrtf6Nuk89XN6PHpfrJLqtn6VO9bdo5t4/ZQqgQW7rrML8fVhkpjAxxYOLZzAyOV1sK+S9nMWxOBUNuBNLWHyy097pv9cXyz/wojOtvxw9QbJ2rqukgdzPR5eqAnO6IyOJWYT2OrvOcHexGXXcruC1kY62qx9vEevLvtAtFpxXRyMOGPBb0B8H53T6PP5W5pyKYFvW5pKuPNP8+zPjyF2cGuvP9Ixya3q3NW1deWcebdkBsmPzadTuW1LdH0b2/F6jnXpmX2XMhiwdozGtuG+Fiz/3LO9btg6dQAerpbMG7pSRLyyvG1M+FSve7zReM6M6m7MytPJPLhjkt0d23H5trzAvDq5ig2n1Frdc7v586bw30auMPeLBF3K9SNEELTY3RypYrLmerk07f74yiparw73sfOhN4eFgR7WtDd1VycNrgRBeU1DPv2KNkl1UwJcmLh2LvrJG3jv8etXsMfmHRnTU0NZ86c4c033xRvk0qlhISEEBoa2uhjQkNDeemllzRue/jhh/nrr78ASExMJCsri5CQEPF+U1NTevToQWhoKJMnTyY0NBQzMzMxIQUQEhKCVColLCyMRx99tMHzVldXU119baFTUtJwxKa5kCtVot7MM/dY0NHHzoQ/n+zN2lPJfLE3lsuZJUz9JYzB3ta8OdznrkbutGRSBvvYMNjHhqziKv44k8qG06mkFVay5lQya04l42ZpyJguDozpai/a3bbROHUL/pUnEjkQoykG7WVjRGmVgsiUQqrkKqavCKeDjTHuVoakF1WKC36JBIZ3tmNBPw86O964hby5MNLV4sPRnZgQ6MR72y4QmVJ0Q1e9Tx7txGNB10SE88qqeer3SMITG+oXXc+YLvb8dS6jwe334n/KWFeLDfN7NhA0f+mh9jdMSIG65XpGLxeMdLV4eXNUk9tJJBJ87EwaaGNJJBL6t7ein5clh2Jz+Gx3DHHZZXy44xK/hSbz5jBvhvja3PZ5yCquYunheNaHp4ojd/3bW/Ha0A50tG/4/pFIJAR7WuLnaMrSw1ebTCJuWtBL1HsAeLyvO1dzy9gaqdaAyiiuYn14KuvDU3G1MGBsgDrJVFatYHtUBjuiMkgrvNYlaKKnxUh/e8YFOBDg3DCJ1UbrIK+sWqzYPz3QQ/w76WrJmNnblc/3xPJbaFKLJaXa+Pfz3iMdOZVQQEpBBS9vimLZtG633f1dUaMgu0Qd/7lbtckOtAQVNQqe33BO7H6uE6FurZ/dcdmlvLDhLIKglh641YQUqPWTAPp43bjYe+xKrihfkF5UyVtbzze57Qg/O/LLq9l9IQsdmZSfZgSyLiyF6LRizAy0+WpiF9aeSuaHQ/GNPt7JXJ91T/S8ZZmQ/u0tWR+ewsGYHN4b6dvk36mzg6kopr7/cg6j/Jsu+td1hzuZa5roDO1ky+gu9myrjeX0tKX8MrM78TmlrAlN5o8zaaKI/JO/R+Jta0z/DlYk5JVrJKQAXt9yHgkSHu5oy4c7LhGRXEhOaZWoOffp2M5iUmr50QTm9/fAz9GMZdMCWLBWLdXw+G8Rdy3/MCXImeJKOZ/tjmHh7hhM9LXp5W5BdHox59OKiE4rJjqtWNSNbYz3RvoypqsD5oY6t/385oY6fD2xC1NXhLE+PJW+XlYM73zjuLSNNu6EByYplZeXh1KpxMZGM+NsY2NDTEzj7llZWVmNbp+VlSXeX3fbjba5fjRQS0sLc3NzcZvrWbhwIR9++OEtvrK74/iVPPLLa7Aw1LnrbPydIJNKmNnblUf87Vly4AprTyVzICaHw3G5TOjmyNMDPe9aY8jWVI9nBnnx1ABPTlzNY8uZNP65mE1iXjlf74/j6/1xBDib8WiAIyM6293Rh+6/lcoaJVvPprPqZKKGYHO/9lbM6OnCwHpi0Mn55fxyLJE1p5KJzS7VEDoP8bHh7RE+d6zXc7d0cjBl9Zwggj45cMML7w8H4zHU0WKUvz2XMkuYv+YM6UWVGOlq8enYzozytxeFN6+nsYQUqNuXW7IbDODkm4MadcH5fE8sXZ3a0cuj6Tb/y5klfLTjEqEJ+U1uA+qOqmkrwhjR2Y53RvpgZ6oZzEkkEgZ529DPy4pNEWl8tS+WxLxy5q05Qx9PSz4a3fGWFlnZJVUsPXyVdeEp1NQKuga5mfPSkPZNjisIgkBUWjHrw1LYHpVxw7/xoz+e4CFfG+b2cae7qzqJ5GFlxCsPd+ClIe1rx/HS2X0hk6T8Cr7aF8dX++I09mGgI2OIrw2j/O3p62XVYiNfbTQfn+68TFm1gs4Opoz2d9C4b2KgE1/8E0tUWjFphRU4tmvrcmvj9jHS1eLbyV2Y9NMp9l3KZuGuy7ftxpdfK8Ctpy1tG/ttAXJKqpi7OoLz6cXoaEn5YoL/DZMX95vC8hoeXx1BeY2Snu7mvPfIrb+fyqoVnK0dre9z3QSCQqkiKq2YQzE57L2UpRHfAfg7mvJwJ1tGdrZn4vJQUcTa09oIG2M9fj2RiEQCX03yJz6nVBQ+b29tzKTloRTewAxm3eM9sTW9dR3Zumtscn4F8TllTZqESCQSRvrZ8cOhq/wdlXFLSSnnRtYXH43qJCal6jRqPa2N+XB0J155uAMbwlP5ZNdlAGKyShsIudfn9T+jWTTOD39HU/F8T+ruDIC2TMqRVwfQf/FhAAL+t4+kz0YwtJMdzw3yZMlBdVLvQnrxTbXAmqJGoSIhrwy7eue7rmvqeuq0sQJd1c6MxnpaPL46gvSiSpYeuUovD4s7Xh/19rRkQX8Plh6+yhtbovF3Mrupq3YbbdwuD0xS6kHizTff1OjQKikpwcmpZXQF6sSCH+5ke18FeM0NdfhgVEem93Jh4a4Y9l/OZkOtBfyEQHVy6m4XClKphL5eVvT1sqKsWsHeWlHiE/F5RKYUEZlSxAfbL9Lbw4JhndTjPS0l+N7aSS+q5LfQJDaEp1JcqQ4uDHRkjO/myIxerg262BRKFZEphZy42lB8GuBIXA76OjJm9HIhsJGRqJbmaFwub/55/obJCoCM4ipe2HiOFzaeE29zszTk5xnd8LQ2RhAEjVGvW+FsaiHdXO5eU+pGk9KL9sSw6bS64mZlrEtZlUJ8rVN+PqXhyFdHXHYp3x+M5+/ojAajbnraUswNdMgtq0auvDb6Wl6tYOf5TA7F5vDSkPbMDnZr0Amg9X/2zjs8ivrr4p/dzab33nsINYEQCL1IB1FEQEHsBUXs9Wf3tWFXEAVFRUWaICIivXdSIARCGum9102ybd4/JhmypJBAQNCcB57dZGc3s7Ple+fcc89RyJkT4c3UUDeW7j/PdwfTOJRSzMQvDjJvpD+Pjw5s0bOpsLKOb/afZ9XxTCldaICvHc+M7cbgAIcW3zMVKg2bYnNYfSLLwLQ9wMmC2QO9uT3MEzsLY2nE8PtDaRxIKmL72QK2ny2gj4cNDw7zY3IfN4yN5MjlMnwdxcSiU1llkn/ExRgR5MTM/l4MDnDoijW+AbDtTB6/n8xBLoO3bunVjCR2tDRhgK89x9NK2RVfwH1D/f6hPe3CjY5+3nZ8MjOUJ1efZPmhNKxMlTw5pv0q9NKGEWp7867mWGcjIb+SB36MJLeiDnsLY767p3+nrM1XC1qdngWrY8gsVeFlb8bXd/XvUJ1+PLUErV7A294cL3vRYPtAUjEHk4s4nFLc4ojWjP6ePDe+m9R02hVfIBFSCrmMAb72/HBYHHl859beOFmasGDVSen+J9LbVpW/ObVnhxvNFiZGDA1wYG9iETvPFbSZXDs11J0le8+zL7GIilpNq8RuW6SUjbmSj2eE8ML60wAcSSlmSAOpZ2Wq5OER/vRyt2bO8uOX3HdBgBcbHgdgf1KRREoB+DhYcFs/D8lgfdOpHG7t68HTY7txNreS3QmFzPslmi1PDsO2le8EQRAoqqons1Ql/U8urCYpv4q04ppmfqlNcc9gH/p42BDqZUugk2WztfH3+UO45/sTJBZUMWvZUb6/d8Bl++U9O64bR86XEJtVzjNrTrH6kUFd9VMXOhU3DCnl6OiIQqGgoMDQrLigoABX15ZTGlxdXdvcvvGyoKAANzc3g2369u0rbVNYaDiLrNVqKS0tbfXvmpiYYGJybciQmEwx5j3iCkw5OxMBTpYsvzec6IxSvtiVzMHkYlafEMmp2/p58NBw/1ZTOjoCSxMjpod5Mj3Mk8LKOv6MzWXjyRzO5lZyMLmYg8nFvPZHHIP8HZjUx40JvVyuOOb5eocgCESml7HiSBrbzxZIPlxe9mbcO9iXmeFezRZ4rU7PH6dyWbI3hbRi8QTexkzJQ8P8mBPhzcHkYn4+mk5MpujBszk2l+6uVtwz2Jdp/dyvuuFhdb2W/9t8lnVR2c1u6+5qRYCTJTvi8yXipSW8MCGYgAaFz1d7Uvi+wYOivXjnr3P88fjQju14CzjexgjhymPiCO6EXi58PDMUI7mMe74/QVSG+Pme90u05JdzNreCr/akSDHRTaGQy5gRJhalztamZJWqeHbdKSLTy6iq0+LnaIGxQk5iQRXvbjnHtjP5fDQjpEUFlJWpkhcmdGdWuBdvbDrL/qQiFu9JYdOpXN6+tRejg0UFaWaJiu8OprIuKksio8J97HhmXDeGtEBG6fQCh1KK+S0qix3xBZKaythIzs193Jgd4d2M+GwcMRzZzYnkgip+OJzO7zHZxOVUSCSki7UJNmZKg46xQi6OBPb3tkOl1rIjXlRYbjubz7az+bjbmDIj3IuZ/T2vWNHZhauDzBIVLzd0hueNDJC84i7GkABHjqeVdph07kIXLsYtoe7kV9Ty/t8JfL4rCbVOx/Pjg9tFTNU0JJ12dvDHfx37EgtZsOok1fVa/J0s+PG+Ade9bcP7fydwOKUEc2MF390T3mGVSqN6O7NUJZmFN4WNmZJhQY5sOZ0HiGnYn8wMNdimqRn3sEBHye7j+fHdALjj22MG2/fxsGFWuCeL96QY+C02wugySYixPV3Ym1jErvgC5o8KbHW7YBcrgl2sSCyo4u+4PGYP9G5xuyxpfK/ldXtMjwuTI8+ui2XHsyMMPOKGBDoyb6Q/y/anYmuu5JcHIjhfVG3Q0GwJf8flM+ObI/g4WOBua4qtuTFDAx0lUuqpNadwtjLFzFjB7IHe7E4oJKe8lr7/t5MPb+9DmUpDSXU9xdVqiqvrya+oI6tMJSm6WoKVqRHBLlZ0c7Wip5s1yw+mkl6iwtxYwbR+ou1Aa3CxNmXdvME8+FMkURll3P39cb6aE8a4y5isUSrkLLqzL1MWHeJEeilf7UnhqbFBl75jF7rQTtxwRucDBw5k8eLFgGh07u3tzYIFC1o1OlepVGzevFn63ZAhQwgJCTEwOn/++ed57rnnAFHV5Ozs3MzoPCoqiv79+wOwY8cOJk6ceF0YnYe9s5PSGjV/Pzmcnu7Xn/lqZHopX+5K5lDKBQXOqGAnHhnu36p64kqQXlzD1jP5bD2TZ3ByIpPBAB97xvZ0ZkwPF4mk+DegXqtjc2wePx5O42zuBbXJkAAH7hviy5geLs26GRqdno0xOXy1N0XqONmZK3louD/3DPZpZn54JqeCX45msCk2R1o8rUyNmNHfk7mDfK7K8TyVVc6Tq082S5aTy8SOzWOjAlHIZWSVqvh633nWRWVJRNzF6O1hjbnSyKAL+Pz4bswfFcgXu5IkmXVruFJPAIApiw4avD4XY2wPF767p7/0majT6Hj45yhJDdkWjOQyZoZ7Mn9U83FZnV5g2YHzfL4zCY1O7LqODnZiQ0wO1fVaTIzkvDAhuEXVVCMEQWDbmXze3hwvdV297c1xszElMr1UUmqFedvyzLhuBkb5jThfVM366Gx+j8mWPFdALELvHOjFbf08Wu0ktoQzORXc/f3xFscMXKxNWHBTEJN6uxqoJRtNzjdEZ7M5NlfqNMtkYsF+xwAvxvV0uW7Ncv9rqKnXMv3rIyQWVBHiacNvjw5u9bXZk1DAAyuiCHaxYvszIzp9X7qMzv85/FPHfvnBVN7dIo753NZPNNK+VLLnkZRi5iw/TjcXS3Y8M/Ja7Oa/HiuPZfBmQ8LeIH97ls0N7/R02M7GhuhsyeNx6dwwJva+tAdPfkUdx9NKOJZayvG0kmYj/Qq5jH5etozo5sSIbk708bDhdHY5t319BLkMdjwz0kAFfzy1xIB0Ushl6PQCSoUMZytTgwTmUcFOPD46kHAfOxasOsmWuLwW9/GxUQG8dIkEuNae26APdiOTwYlXxuJk1Xrjfun+8yzcmsBAX3vWPTq42e0VKg2h/7cDgDNvT8CyBQK4qk5Dn7d2SD/P6O/ZjLBTa/Xc/s0R4nIqGBLgwMoHI5DLZXy0LeGyg3EuF3IZuNua4W1vjre9OX6OFgS7WhHsaoWrtalBPVWv1fHQT2JtaGOmZN28wQS7tt3sr1XrWLAqht0JhSjkMj6Y3odZl5kMuvFkNs+sjUUug3XzBhPeCenUXfh341+Zvrd27Vruvfdeli1bxsCBA/niiy9Yt24dCQkJuLi4cM899+Dh4cEHH3wAwJEjRxg5ciQLFy5kypQprFmzhvfff5+YmBh69+4NwIcffsjChQv56aef8PPz4/XXX+f06dPEx8djaioqayZNmkRBQQFLly5Fo9Fw//33Ex4ezqpVq9q131eroNLq9AS+uhWA6NfG4nAdj6pFZ5Sx/GAq287mSybbPd2suWewD7f0vTqKm6xSFdvO5PP3mTxpLr8Rfo4W3NTdmTE9nBnga/+Pjj5eLspq1Kw8lsFPRzOkCFwTIznTwzy4d4gv3V2bv9fUWj0bYrJZsjdFMnu2tzDmkRH+zB3k0+Li3hQVKg2/RWfxy7EMMkoukEUDfO2YGe7FlD5uV9wh1ukFlu4XSZSLZcuOlsYsmRNGxEXeRHUaHXcsO0psO1USI7o58dP9A5DJZHyz7zwfbmvZl64Rj48O4IUJHS/EGiEIAn7/+7vNbQb527PmEcMCrKiqngHv7Wr1PkqFjJnhXswfFXDJ8djT2eU8tjKGnPJaTIzkPD46kMj0Uon06u8jjq205RtWVadhxjdHDfzGQDyej470Z7C/IdFcWafhr9g81kdnEdPkM2hrruTWUHdm9Peit4d1u8npzBIVf5/JY+uZfCkpsCXIZTCptxuPjPAntIkpelPUaXTsiC9gbWQmh1Mu+HHZmSuZHubJHQO8OkXV2YXLQ71Wx8M/R3MgqQgnKxM2LxjWpo9JQn4lE784iL2FMTGvj+v0/ekipf45/JPH/tfjGbyxSSREQr1s+eauMNzb8FJpjKoPdLZk17NdpNSVQK8X+GDrOb47KKqbbw/z5IPpfa57D8DT2eXMWHoUtVbPkzcF8uz44GbbaHR6EvOrOJlZxsnMcqIzywxqqqaY1tedib3dGBLo0CwR8sEVkexOKOT2ME8+nXWBdNHpBQJeabvmaMSaRwZJfo/ro7N5vo3AlNv6efD5HX3b9bgX45avDnE6u4J3pvXm7kGtm73nVdQyZOEeBAEOvji6WaMtOqOM2785gqu1KcdeGdPiY9RpdM2SA7+9uz/jL7JBOF9Uzc2LDlGr0fHypO48OjKgWb321xPDWB+dLRnJg6jAz6uopaJWS0WthgqVuln96edogYmR3MCzytPOjMl93HCwMMbB0gQXaxO87c1xtzXr0HmISq3lruXHOZlZjrOVCesfHXLJxGCNTs/LG+LYECNOHrSW5NcePLP2FBtP5uBha8bfTw3v8s/rQpv4V5JSAF999RUff/wx+fn59O3bl0WLFhEREQHAqFGj8PX1ZcWKFdL2v/32G6+99hrp6ekEBQXx0UcfMXnyZOl2QRB48803+fbbbykvL2fYsGF8/fXXdOvWTdqmtLSUBQsWsHnzZuRyObfffjuLFi3C0rJ96pBrQUqdfH0cdjeAwXd6cQ0/HE7jt6hsyTPHysSI28I8uCvC55Js/+Uip7yWXfEF7DpXwPHUUikNDETFz8huTozp4cywQKc2OzjXA9KLa/j+UBq/RWdJqiU3G1PuHuzD7AHeLb4PNDo9v8dks2h3itQdc7S8QEZ1lBTU6wUOJBex8lgGexIKJaWMubGCm0PcmBXuRf/L8J4qrVHz1JqTLaqDurtasfze8GbkS2Wdhod+iuJEWikmRnI+m9WX4up6VhxJl0YSW8LYHs6M7eHCW5vPtimdbsTe50ddttG778tbWr3N2tQIlVqHVi/wx+ND6e1uzZHzJWyIyZbMOlvC8+O7MWuAV4fGUstq1Dy99hT7k8QEw4eG+eHraMHCrQlU12uxMFbw7m29ua2fYYJZIxm58lgG6S0UzmO6O/PebX1wtTGlXqvjQFIxf8bmsuNsvjTSp5CLI3gz+3tyUw/ndquRUouq2Xomn7/j8gyUZjIZDPC1Z3JvVyb2dsPF2oRjqaV8dzCVPQkXRq4H+zswb6Q/I7s5tfp+zCxRsS4qi9+iswxUXGHettw5wJspIVdOtnah/dDo9Mz/NYad8QWYKRWsejiCfm2MKIBosB/x/m7kMkj94MqVjReji5T65/BPH/sjKcXMXxVDuUqDlakR707rzS2h7i1+n5zJqeDmxYdwtjLhxKtjW3i0LrQHtWodT689yfazogXH8+O78fg1Tpi+HBRV1XPLV4fIq6hjTHdnvrsnHLlcRkFlnURAncws53ROebO6Qy6DXu42RPjZk1dRx5a4PEI8bfhzwbAW/1Z8biWTFx1EJoPdz440GMP/clcyn+9KavF+TbH64UFSkEpGSY1k2g1iOvNns0IN1FYRfvasnddcvdQefHcglff+PteqAqop5nx3jCPnS3h+fDcW3GQ4IrYuKosX159mWKAjKx+KaPH+Tc+P7gj3Ym1UFo6Wxmx/ekSzBv6aE5m8/HscRnIZG+cPpY+njaTsasShl0Zzy1eHJc+4loi1yjoNIU3UWef+byJmxgoEQeDZdbFsPJmDs5UJW54c3innGeUqNXcsO0ZiQRXe9uasf3QwztZt14OCILBwawLLDqQCovLtxQntG01uiqo6DVMWHSKzVMWUEDe+mt3vuv9sduGfw7+WlLoRcbUKKkEQCH5tG2qdvsVuwvWMsho1v0Vnsep4psFJbriPHTP6ezI5xK1ZR6izUF2v5VByEbvOFbI3oZCShkWmET3crBkR5MjwICfCfe0uKde/FhAEgeiMMr47mMqO+AJJbdbbw5qHh/szuY9bi10WnV7gz9gcvtiVLHXhnKxMmDfCn7sifDAzvvLnVlBZx4aYbH6LyjYggXwdzJka6s7UUPd2KU7O5FRIaXlmSgWBzpbE5Yidp/E9Xfj8jr7NiIFylZq53x/nTE4lViZGfH/fBRNHQRDYEV/AvF+i2/1chgc5tjkul/juxA6PdvV+czvV9c0NSZtiSoib5AvRXvzx+FD6tqICagt6vcCXu5P5cncyIB7bFycG8+rGM5Lv1Yz+nvzfrb3IKFHx89EM/jiZc4FEbhjbvGewL3/H5fHlrmSJ5JXLRC+VqiYGrEHOlswM92RaX49LFkwgvm7JhdVsjRPHcJt2GeUyGNwkyKA1Qi4hv5JvD6Ty56lcSW3X3dWKR0cGMCWk5c8KiIXs/qQi1kZmsTuhUBoHtTBWcEtfd+YM9KGP5+Wl6HShfahV63hi9Ul2nSvA2EjOj/cNYGhg23HoANllKoZ9uBcTIzmJ707q9P36p4mR/zKuh2OfWaLiyTUnOdWg0Jzcx5XXb+7ZLMU0t1xUeSgVMpLendR1onYZKKqq56GfIonNFhP2Pp4Rwq19PS59x38Yaq2eu5YfIzJd9IKcPyqA9JIaTmWWk1tR12x7a1Mj+nrbEeZtS18vW8J87KS699l1p/g9JqfNcbnHV8Ww5XQeN4e48dWcMEBcP385Jqr7LsbNIW4EOFmyeE8yegHevqUX9w7xBcS1L+ydndJIu7e9OasfGYSduZKeb2yXHsPb3pwDL46+rOPTVAF1+OWb2kxv+y0qixfWn8bfyYLdz440+Bx9sPUcy/ancu9gH96+tXeL96/X6gh+TVRKRb02lru+O05iQRUTe7nyzdwwg8cTBIHHVsaw7Ww+/o4W/PXkMMyNjZj+9WFJ4R3kbMmyu/tz06f7pfu9c2sv7h7sa/B3l+xN4ePtiQDMHujNB9P7AKKy6davDpNcWM2QAAd+eTCiU0zCCyvrmLH0KJmlKnq6WbN23qBm9hstoemEwJwIb965tXeH9+dUVjkzvjmCVi/w+R2hzZqZXehCI7pIqesIV7OgGvPpPs4X1fDzAwMZ0c2pUx/7WkCvFzhyvoRfj2ewI/6CObexkZxxPV2Y3s+DEd2crtp4nU4vEJtdzu5zBexLLGrm+WNiJCfC34HhgY4M7+ZIsIvVNS0ydXqB7Wfz+fZAqlQMA9zU3ZmHhvs1G5dqhF4vsO1sPp/tTCKlUDR+drAw5rFRAcwd5HNViLZGo/V1UVlsOZ1nkJQX7GLF1FA3bg5xx7cFtdH66Gxe2RiHWqvH18GcIBcrdsaLHdL7hvjyxs09m6WKVNVpmLv8OLHZFThYGPPTAwMNYnd1eoEHVkRKqiAAY4UcrV7fLK2uI+gIAdyWQqq98Hey4NZQD8J8bHn81xipaLQzV7LhsSEtmpS3B5tO5fDCb6dR6/T08bDh23v6s+ZElkRWXYzurlbcPdiHaX09sDAxQq8XiMks45MdiRxLbW7i/sBQP27t606Ip80lPzM6vUBUeik74wvYea7AYIzBSC5jSKAjk3u7Mq6nS4fGlHPLa/n+UBqrT2SiUovvRw9bMx4c5scdA7zaVD8VVtWxITqHtZGGxHmoly1zI7yZGup+XRDW/yaUq9Q8+FMU0RllGBvJWTa3P6O7O7frvufyKpn05UHszJWcfGN8p+/b9UCM/FdxvRx7rU7P1/vO8+XuZHR6ATOlggU3BfLQcD+pWVGv1dHj9W3oBTj+yhhc2kHEd+EC0opruPeHE2SWqrAzV/LdPeHXtWdNcXU9Z3IqOJNTwSc7WlcmyWUQ7GpNP29b+nnZ0s/bDn9Hi2Z1DYi11NCFe8itqGPlgxEMC2pOyp8vqmbsZ/sRBNj61HAcLIz5/WQOvxzNMPCKasTxV8ZQp9Fxy1eHqajVMCvckw9vD5HW5od/jpJqLksTI/Y8NxJna1MEQaD769skxbOxQk7COxNb3O/24M5vj3IstZSXJnbnsVGtj45V12sJf3cndRo9mx4fajCG/9BPkew6V8j/3dqLey4ihRpRU6+l15simRb/fxNILaph2pLDrRIo5So1E784SH5lHXcO8GLh7SEGvmAgqsRKatRSTQ2GxB6IKt+gBoUWwMb5QySVb0phFbd8dRiVWtfqWOflIKOkhtu/OUJxtZohAQ78eP+AdjVPVx3P5NU/4hAEsTH6+ay+HR6NXbQ7mc92JmFlasT2p0e0Odrchf8uukip6whXs6B6/NcYtsTl8czYbjd8CkKj4mZjTA7JTb70HSyMmRLixqTebgz0s7+qEaTF1fUcTiluSPArMhjlAXHkLcLPgUH+9gzydyDQ2fKqkFQ19Vp+i8ri+8NpZJWKBYaxkZzp/Tx4aLgfgc4tK48EQWBPQiGf7kgiPk8k2KxNjZg3MoD7hvhesxGkmnotu84VsDk2l/1JRQbpeH08bBjX04UxPZwJcrbinb/i+eVYBiCSbXbmxtLMe2uSfZVay70/nCAyvQw7cyVrHmlu9NjYTWvE/FEBvDixO2U1avYmFvLsutZ9E9qD1nzcNDo928/mG8QsdxQ93awZ38uFcT1d6Ol2wXMpOqOU2785Km3naWfG7/OHXHayZFR6KY/8Ei1J0v0cLVoceVz7yCAG+tlTr9Vz9HwJO+Lz2RlfKHmZXQwrUyM+vD2EyX1aN3dVqbUcSCpmZ3wBexIKDAzLjRVyhgY6MLmPG+N6unTIAL0lVKg0rDyewY+H0yiuFp+rjZmSe4f48sBQ3zYfXxAETqSV8uvxTLaeyZPeyzZmSmb29+SuQT6XPdbZhQtIzK9i3i9RpJeosDYVVY8DOnAy+ndcHvN/jSHUy5ZNnZCWeTGuF2Lkv4jr7difza3gzU1npXRUD1sz5o8OYGZ/L4yN5FJS2i8PDmR40I3XLPyncDKzjAd/iqK0Ro23vTk/PTDwuvlu1esFsspUnMurIiG/kjM5lZzNrSCvBQUUiErxXh429Ha3oa+XLSGeNu2uvxrH6JQKGaffnNCiov3lDadZE5kFiHXT/qSiFoNegpwt2fzEMLR6gelfHyapoJp+3raseWSQRFw0NfQHiHl9nEFS4KD3d0sBJwCRr7ZtVN4WVp/I5H+/x9Hd1YptT7cdSPHk6pP8GZvLfUN8eeuWXtLvR3+yj7TiGlY9FMGQVlS0Tc3Qk96dhLGRnK/2JPPJjtYJlCPni7lr+XEEAb65K4xhQY6Ev7tLIuRaw1tTe3LfUD/p58a1CMTm4bFXxkjHetOpHJ5acwqZDFbcP5CRnSQmOJNTwR3LjlKj1jElxI3Fd/ZrF3H41+lcnll7Co1OYGQ3J5bO7d+hCQqtTs/tS48Sm1XO0EAHfnkg4rIJyy78e9FFSl1HuJoFVeMsdKinDZtamTu/0SAIAmdzK/k9Joc/Y3Okk0gQSaFxPV2Z1NuVwQEOV9WgvHGM6EBSEQeTizmeVtLMA8DBwpgIf/sGosqBIGfLK/pCLqyqY8XhdFYeyzBQxNw9yIe7B/u2WggIgsDhlBI+2ZEoKaosTYx4YJgfDw7z+0dNCCtUGrafzWfz6VwOpxS3qlJ6ZIQ/aq1eMpN877be3BXR3AyzTiMmjxxKKcbK1IjVDw8yUEgBHEgq4p4fTkg/h3rasP6xIQbvl9u+PtzMAP+fhJ25UiJmGouolvDz0XQDaX64jx2rHh7U4Q5XaY2aXecKWH4wlaSCaoPbPO3MJCN8AEdLE8K8bTmUUiwpjkD0gxvX04Wpfd0ZFuhIRomKZ9edkpIvZ/T35M2pPSU5eVFVPXsSCthxtoBDKcUGxZ6NmZKbujszrqcLI7o5XdJ0/3JQp9Hxe0wO3x44L6mfLIwVzB3sw0PD/C9ZaBdX17MuShw7bnp8hgc5cleED2N7OGN0A4Ym/NP4MzaXl9afplajw8PWjB/uG9Bhf8FPtify1d6UFlOWOgPXGzHyX8L1eOwFQWDTqVw+2HpOal552Joxb6Q/O+MLOJhcfEVGwv817D5XwOOrYqjT6AnxtOH7ewf8Y/6eFbUaEvNF8qmRhErMrzJY+xohk0HTs6hhgY4suSvsimqutZGZvLQhjgG+dvz26JBmt1+cqtcWEt6ZiFIh55Gfo9idUIizlQmbnxgmKfh2xRfw0M9R0van3xrfzDpj0pcHOZd3YYrgcq0DQFQkDXhvFxqdwJYnh9HLvfVx+L2Jhdz/YyQOFsYce2UMSoWceq2Onm9sR6cX2lQiFlfXE/6uGBKT9sFkZDIZWp2eGUuPciqrnAg/e1Y9PKhZk3vh1gSW7j+PjZmSbU8P592/zrElLo+ebtYkFVRJdgD+ThaM7+nK0v1iSt8bN/fkgWEiMSUIAqM/2SfVGE+NCeKZcRd8il/ZGMeq45nYmSvZ8uTwTlMXHUou5v4VJ9DoBO4b4subU3u2q2m+L7GQR1dGU6fRE+5jx/f3DejQ+ze1qJrJiw5Sp9E3I+i60AXoIqWuK1zNgqqwqo4hH+xBqxf4+8nh9HS/Pgq2zoJWp+dgSjF/n85j57kCypuoKWzMlIztISpuhgU5XjUPqkbUa3XEZlVwPLWEY2klRGeUNSOp7MyVDPSzJ9zHnjAfO3p7WLdLRptZomLZgfP8Fp2NuuFE3c/RggeH+XF7mGebnYsTaaV8uiNR8gMyVcq5b4gf80b4X3fm90VV9ew+V8AvxzKajUo2xeQ+rnw8I7RZZ1GvF3hitRhXbGGs4JeHIgi7yAC5pLqeiV8epKhKPFEwN1bw95PDDcYGG5O6jOQy3GxNySqt5YPpfbAzV/LoyphOfMatI8TTRiJvAFLem8SQhXsorKpnyZwwpoS0rDISBIHn1sXy+8kc6Xd3D/LhnWkteys0QqvTE5dTweGUYg4kFxOVXtoqQfjM2G6oNFoDpVkjXK1NGddTVHEN8ndoRoZpdHq+3JXM1/tSpMcfHuRIZZ2W09nlBgW8p52Z9FjXMgWzcSz2qz0pkqLQxEjO7IHezBvp38wnpqX7708qZOWxTPYmFkrPydXalDkR3syJ8MbxOk5DvV5QVafhnb/iWRclKiOHBTqyaHY/gy59ezF18SHicir4ZGYoM/p3vrfF9UiM/FdwPR/7Oo2ONScy+XrfeQqrDJWjPg7m7H/h8vx3/ktYdTyT1/6IQy/AqGAnlswJuyaq7jqNjvNF1aQUVpNUUEVCXhUJ+VUtjr+BqFbv5mJJd1drerhZ08fDBgdLY+789hhFVfVM6u3K13eFXbF6vjHZ7ImbAnmuYcSruLqezbG5rI/ONqidnK1MmB7myYReLtz29RGDx/nyzr7c2teD97bE893BNEyM5KydN1gilBpJn0a0RvLctfyYQULt4tn9mBrqftnPr3HC41J1i1anZ9AHuymuVvPDfeHc1N2FpIIqxn9+AEsTI+LeGt/qsW4MvlDIZZx//0K4VXpxDZMXHUSl1vHixGDmjwo0uJ9aq+f2b44Ql1PBYH8H7hnsw2O/xuBmY8qz47rxwvrT0rYnXhnDiiPpfL1PJKZem9KDh4b7i7ellTJr2QVV+7anh0uJ2HUaHTOWHuFMTiVh3rasnTe402qfP2NzeXK1qNJv6fm1hqj0Uh5YEUllnZYebtb89MCADinwG5ulJkZytjw5nEDny7OV6MK/E+1dw7vihG5wOFuZMqG3K1tO57HswHm+vLPfP71LnQojhZzRwc6MDnZGo9NzLLWErWfy2XE2n+JqNRtistkQk42RXEZ/HztGdxe37ebS+WN1JkYKBvrZM9DPnicIQq3Vczq7nGOpJRxPKyUqvYwylYbtZwukxBhjhZzeHtb097Gjv48dYT52Bl/05/Iq+Wbfef46nSudwId52/LoyADG9nBpU3V1JqeCj7YncqDBM8nYSM5dEd48Nirgsse5rjacrEzo5W5jULz387Ztplj6Oy6f7WcL6O1hQ6inDX08bAjxtBX9quLyUCpkfHdveDNCShAEXtpwWiKkAN6a2quZj9WaE6LsfYCvPcfTxGJrZDcnDiYXcbXw+R2hTOvrwdSvDnEmp5JnxnXjld/jJPm/kULOzHBPluw9z8aTOa2SUjKZjPdu60N8XqVkAv7LsQz6eNowK9xL2q6iVsPp7HJis8S0nxNppVRdZLje082a4d0ccbYypaCyjm8bElnaSu35/r7wNrubVXVaAp0tcbMxk4r7pubxjeOb43q60N312nq0NUIhlzG5jxuTeruyJ6GQxXtSOJVVzooj6aw6nsmMcE8eGxnQqneYQi7jpu4u3NTdhaxSFatOZLIuMov8yjo+25nEV3tTuDXUnfuH+v3rGgWdheOpJTz3WyzZZbXIZPDYyACeGx98WePZGSU1xOVUIJPBiG6XNkXvQhc6C6ZKBfcN9ePOgd6si8pixeF0UhtGoDNKVExdfEgMb+njdt0n+15rCILA57uSWdTgYzgr3JP3buvT6c2JyjoNKYUi+XS+sJrkhutZZSpaa8t72JrR3dWK7m5WDSSUFb4OFgZK2DqNTiKkgl2s+GRm6BWvZ4IgcCxVrElCPW3ZdCqHP07mcCC5uNl43shuTnx/bzj1Wr3kn9QIGzMlE3u7sjYyk+8OpgHwycxQiZDadibPoAH360MRraqOLh5vb6oSvhzcOdCLLXF5/HEqh1cm92i16WqkkDM11J0fD6ezITqHm7q7cL7B2iPgEtYZmobwFaOL1hNfRwveuqUXL64/zWc7khgW6EiIp610u7GRnC/v7MuURYc4mlrCIH8HrEyNyKuow8fBgufGdePTnWJ99O6Wc3x5Z1/kMhlf7U2RRiAfGu7PQD97xvZwYdc58VzgpfWn+X3+UBRyGaZKBV/P6c+UxQeJySznw60JvHZzz8s7mBfhllB3iqrqeeeveD7aloiTpQkzm9SFrSHcV0xVvPv7E5zLq2TW0qP88mBEu/1T50b4SArRZ9edYsNFkwld6EJ70KWUuga42l2+xghigD8XDDX4gv23QqcXiEwvZfe5AvYkFHK+yNAHx93GlJHBTgwJcGSQv8M1KQbVWlGJEpleSkxGGdEZZc2S/QC87M3Q62nWjRvZzYn5owIY6Gff5mKbXlzDpzuT2BybC4iL7h0DvFhwU+AlFR7/NA4kFTHvl2hqNTqCXaz48f4BbDyZI6WV9PO2JcDJkmOpJZcsfJ4Z240AZwt87C1wsTHB0cKEVScyee2PM9I2g/0dWPVwhMHxVGv1DHx/F+UqDXdFePPr8UwCnS3Z9ezIZqNxnYn7hvjS082aFzeInbZVD0Ww61whPxwWC8b0hVNILqhi3OcHUCpkRL46tk2vo4ySGiZ/eZCaJiMFw4McMTdWkFxQLZ0YNYWxkRxHC2PsLY1xsTKlsKqe+LzKFr0oQCxwXpvSgzKVhod/jiKzVIWpUs4Xd/RjYm9XQCzMYzLKOJpawoHk4mZqqKZwsTZh9cODLtuc/Wqhcfx18Z5kSXGokMuY1teD+aMDCGjH/tZrdWw7k88Ph9OJbRJKMMjfngeG+jGmh8tV9cO7UVBao+bDrQmsjRKJYU87Mz6dGUqEv8NlP+YHf59j2YFURnZz4qcHBnbWrhrgelbr/NtxIx17vV7gYEox9zYZHwfR6HpooCNje7gwKtgJH4frwyvpn4JGp+fVjXGSSvLJmwJ5Zly3yyZ1dHqBvIpaMkpUpBbXkFJQRUqDCupib9CmsDFTEuRsSZCLJT3crOnuak2wq9Ulx5caG2DrorKxMVPy54KhnfKaphZVSwlvCrnMYG0O9bRhUIADy/anIpNB9GvjKKisY9KXB5s9zr2DfZjY2427vz+OVi/w9Nggnh4rjpCti8rixSaKn7YS/gBe/+OM5PsJYlrb+7f1ueznqNcLjPxkL1mltXw6M5Tb21C2Np7fGCvknHh1DD8fzeCznUlMD/Pgs1l9W71fenENoz7Zh6WJEWfenmBwmyAIPL4qhr/j8vFztOCvJ4Y1U+ati8zixQ2nMZLL8HW0IKWwmoeG+fHqlB74/e9vabuN84fQ18uWz3cmsWhPCgCvTu7BwyP8SSmsYuxnB6RtLzZF3342X0qHXjq3v1RTdQYa10SFXMbye8LbHRiSXlzD3O+Pk11Wi4u1CSsfjCCoHenZAPkVdYz/fD+Vddp/hc9xFzoPXeN71xGuRUH19JqT/HEql+6uVmxaMLTDsfU3OjJLVOxLKmRPQiFHz5c0MyYMdrFicIADgwMcGOTngI351fdYEgSBzFIV0Q0EVXRGmUG8fVMo5DLuHOBFqKctIV42BDpZNvOmKayqY/HuFFafyESrF5DJ4NZQd54dF4y3Q/u6Gf8ktsbl8eSak2h0AsMCHfl6bhjbz+RLcujXb+7Jg8MuzKJnlaqIySwjLruC5YfSLutvDvSzp4+HDRbGCsyMjZDJRO+Kxsjmi7c9kdY8Ra4lhHraENtk9K4zMCvcEwdLE75pkIL7O1kwvZ8H9Vo9aq2eeq2eeq2OcpWGwqp6CqvqJBP8K4WHrRn9fewY4GtHXy87vt6XwtYz+RgbyfnxvgEMDXSkXKXmidUnJdWTtakRPdysOZlVLo2cNqKHmzWjgp0Y1c2JMB87tp/N59WNZ6io1WCmVPDm1J7cMcDruoxLP5FWyld7UyQFokwGN4e489SYwFYDBi5GTGYZPxxKY+uZfOmkwtvenHuH+DIr3LNdkc3/Nuj0AuuisvhwW4I0hj17oBevTul5Rf5hJdX1jPx4H9X1Wr67J5xxPV06a5cNcCMRI/823IjH/v82x0sNh1AvWwOiGsDf0YKRwU4M9ncg3Nf+skZWb1TU1Gt5fFUM+xKLkMvg3Wl9mBPhfcn76fQCueW1pJfUkF5cQ3qJiowS8TKzRIVa17ohtYu1CYHOlgQ6WRLoYiVeOlviaGl8WetQYwNL3mBYfaXp1/G5lfxxKkdSKzfC086M2/p5cGtfDwKdLSWj7CBnS24OcTdQNfs7WpBdVotap2fJnDBe/SOOcpWGqaHuLLqzLzKZjKX7z7Nwa4J0nxBPm0uqWj7bmcSi3cmYGMmp1+oZHuTILw9GXNHzbTQdD/exY/1jzX2zmmLylweJz6vk7Vt6cSKtlC1xebwyuTuPjGjdry0xv4oJXxzA3sKYmNfHNbu9XKVm0pcHyau4kLbXFE2Jq0Z42Ztx4IXRbD9bwKMrRTLJwcKYDY8NwdfRgs93JknpxY1+cv/7PY7VJzIB0ed193MjDRRpjaOVViZG/PXksE4jq/V6ged/E20ezJQKVj0cIaUAXgr5FXXc/f1xkgursTVX8tP9Aw3SD9tC4/tTIZexcf6Q/4RIoguXRhcpdR3hWhRURVX1TPjiAKU1ah4Y6scbUztHCnojolat42hqMYdTSjhyvsTAoBHEk8ze7jaE+9pJY3VXU2Gk0wtsicvjm33nm+1LazBTKujtYU2Ipy1+jhYcSy1h17kCycNqVLATL07ofsOMBq2PzubF9bHoBZjSx43P7+jL4ZRiHvo5Cp1e4NGRAbw8qeVOXUZJDVMXH6KyTssAXzseGRHA+SJRhp9SVE12WS3F1fWtqnOuNeZEeLP9TH6LKrnrAQ4WxvRwE8cR+njaEu5j18xoU6PTM//XGCki+pER/igVMqLSyyQlUVO4WJsw2N+BIQGOjOjmhKtN8zGAvIpanv8tVvKmmBrqzvu39b5uCZrYrHIW70mR5PdyGUzr68GTY4KajYO2htzyWn45lsGq45lU1IpEjIWxgjsGePPgcD88/gPxyY2JoB9tSySxQCTlu7ta8e603p0S9f7Wn2dZcSSd3h7W/Pn4sKuW/HMjEiP/FtyIx75R4aFUyDj00k3UqnVsP5vPvsQiItNLJcPkRvg7WRDeUI/0dLMhyMUSU+W/r7lYUl3PAysiic2uwFQp56vZYYxtIJI1Oj35FXXklNeSW15LTlktuRW1ZJeJ17PKVAZJvhdDqZDhZW+Or4NFEwLKkgAny04NezmWWsLc5aIC6VLkSFvIq6hl06lc/jiZ02LD8rdHBxPuY2dAmjWm110MGzMlj40KYOHWBDxszTBRykktqqGvl5i0Z6yQs3BbggHpZW6sYOtTwy9JhPxyNJ3XN53FxkxJRa0GP0cL9j4/6rKecyMKKusYulD0w/3riWHNwmqa4sfDaby9OZ7eHtao1DpSi2r4+YG2icCo9FJmLD3apq/b0fMlzFl+TErbm3RRWnCFSsPELw8YJCxufUo0Jg99e4f0O18HczY8NgQHSxO+2JXEF7tEYuqlid25PcyD4R/tlRrlU0LcWDInTLqvRqdn9rfHiMooo5e7NRseG9Jpn3uNTs9DP0WxP6kIO3Ml6x8b0i7VN0BZjZr7VkQSm1WOhbGC7+4JbzXpsCkEQWDB6pNsOZ1HoLMlW54c9p8TSXShObpIqesI16qg2nE2n0capKALp/fhzoGX7jz9F1Bao+Z4qkhQHTlf3GzUD8Rxv/6+9vT3tqW/jz3d3ayueB5aq9PzZ2wuX+1JkUapzI0V3BXhzUPD/XGxNkUQBLLLajmdXSH6/2SXcyankuqLvH+aoqebNfcP9aWXuw2BzpYdTl271lhxOI23NscDohrog+khnMmp4M5vj1Gr0TE9zINPW/FiqKnXMv3rIyQWVNHXy5a18wa1uMD9HpPNs+tiDX73woRgdHoBlVqHSq1Fpdah0enZdEoce+zuaiUVgg8O8xOLt8hMA0PP16b04KPtiai1emaFe0qjBm3h0ZEBYhrb8uPtP0hXAR62ZnjZm+FlZ06gc8NogptVm35jxdX1JOZXcS6vksj0UskbrS34O1qwuQX5e0vQ6wWWHUjlkx2J6PQC3vbmfDWn33XdTYvPreSLXUnsaCDoFHIZt4d58MRNQe32W6hV6/j9ZDY/Hk4npcETw0gu45ZQd+aNDOhw0tyNghNppXy8PUFSJlqbGvHU2G7cO9inU1IKYzLLmPHNEfQCrHwwgmFBV89P6kYkRv4tuFGP/aylRzmRXtqs6VJVp+FwSjH7k8TAieTC6mb3lcvEsJPubtZ0d7HC19ECHwdzvO3NsTFTXpcq09YgCAIVtRpOZZVzXxNj7YG+9rjamIoEVHktBZV1rYZvNMLYSI6PvTk+Dhb4Opjj4yhe+jpY4G5rdtVHpHPKa7ll8SFKatTcEurOlw0KpPaiQqVh29k8/jiZy7G0EqmZZqyQM7q7k7TmrnoookUSoKCyjpsXHzLwzZTJYP2jQ3hj0xkDE3R3G1P+WDAUO3NjXt4Qx4YYw/rloxkhBj6UraFxzMzR0oTi6nqMFXIS3pl4xQ2Ap9acZNOpXG7r58Hnd/RtdbuyGjUR7+82UMKdeHVMm7XM3oRC7l8RSW8Pa/56Ynir2324LYFv9l1I27u4QX0stYTZ3x2TXqfGsbSLEwn7eduy6qFBmBkr+HJXsqRge3FiMHVqnTTaB7Di/gGMCr4wTpdXUcuURYcorVG3K7SmI6ip1zLnu2PEZlfgYWvG7/OHtOoddjGq67U88nMUR86XYKyQs3hOPyb0uvSIYVmNmnGfH6C4up4FowN5fkLwlT6NLtzg6CKlriNcy4KqkaVXyGV8NbtfM+a/C+Kifiy1hJOZ5URnlLXoqWOmVNDL3ZreHqLJdh9PGwKcLNtV8Gh1ev44lcuSvSmkNZBRtuZK7h/ix71DfNr0CQKxu/HpjiQparYtKBUygpyt6OVuTU93a3q6WdPD3fqqJxG2B4Ig8NWeFMkU8oGhfrw2pQfF1fVM/eoQBZX1jGgw6myJABQEMWnvr9N5OFqa8NcTw1pU4FSoNIz5bB/F1ReUSd/fG86YHs3HeI6eFwsMR0tjfn4ggsmLDmJlYsTphhSXi6Xt80b6E59baWDU3VGceHUMMRnl7EkouCSp5etgjpWpkrgccTTQxkzJiG5O1Gl06PQCJkZyjI3kGCvES1OlAjtzJcdSSzmUcmEfzY0V7HluVIvHS6XWkl1WS1apiqxSFeklKpIKqkjMr7qkumvuIG/uGexLkLMl287k8/TaU9Rr9fT2sObH+wa227stOqOMJ1efJKe8FqVCxksTu/PgML/r+kQrLruCz3YmsjdRHOtTKmTMCu+Yl5sgCOxPKuLbA6kcOX+B/Bwd7MSjIy/tJ3cjQBAE9iUW8fW+FImMMjGSc/9QPx4bGdBpo9PV9VpuWXyI1OKaS57UdAZuVGLk34Ab9djvjC/g4Z+jMDdWsO/5UTi3cjJYrlITk1lGVHoZp7LKOZdXSVmTpOGLYWVqhLe9Oa7WpjhZmUj/na1MsDM3xspUiZWpEVamRliaGHUKASwIAvVaPXUaHbUaHSq1jopaDRW1GiprNZSrxOuNlxW1aoqq1RRX1VNUVd/maF1TGBvJ8bA1w93WtOHSDA9bMzzszPBxsMDN2vSqqSEvhVq1mJp2NreSXu7WrH90SJvJyI2orteyK76AzbG5HEguMlB7DfS1Z1o/D6b0caNMpWbUJ/swVsiJfXN8q49dp9GRUljN/SsiKaqqZ94If27p686URYekbcyNFax/dAh+jhYsWBXD7oRCg8eY0seNr+b0a9d6cyqrnGlLDuNsZUJJjRqdXuDY/8a0WF90BKezy7nlq8OSmrAtsmT+r9HSKJ2DhTFRr41tc98bx8gG+zuw+pFBrW7XNG1vSIADKx+MaPb++mhbgpSw1zgO+OrGOH49nsnoYCdiMsupqNUwvqcL38ztj0IuY/HuZKn2fWxUAOsis6T6ytvenB3PjDBQRO1LLJQI26/vCmNyJ567lVTXM2PpUdKKa+juasXaeYPbrRys0+h4cvVJdsQXIJfBRzPal27baKSvkMvY9PjQNpVwXfj3o4uUuo5wLQsqQRB47rdYfo/JQSGX8cUdfa8ouvW/gJp6LbHZ5ZI5eXRGGZV1zZVKZkoFPd3FGOA+Hjb09rDB38lCIlQ0Oj0bT+awZG8KGSUqAOzMlTw03J97h/he0jdFEAR2nSvk4+0JJBWInVNXazGG9pa+7qQV1xCfW8nZ3Eri8yqIz61scT9BXPR6NZBUwa5WBLta4WVnfk2Luabz9U+NCeLpsUHUa/Xc+e0xTmWVE+Rsye/zh7Q6vrXqeCavbIzDSC5j9SODGNDKqE9jcdCICD971jwyqMWCpdH8cXqYByO7OfHUmlMGngbLD6ZKCSrtxeLZ/Rjbw4Xn18ey5XSewW1GchlJ706SjnvTCOZxPV2ITC+V/HVaw5AAB+wtjLE1V2JjpsTWzBgbMyXGRnLkchkKmQy5DB77NabZfR8Z4U9JtZqSmnpKa9TkltcakHcXQyYDH3tzurlYEeJpQz9vO4KcLVmw+iQn0kpxsjLh98eGSAqhmMwyHv4pipIaNb4O5h1Ka6lQaXhpw2m2nRULzTHdnfl4Zuh1760SnVHG5zuTJBLQ2EjOnIHePD46sEOBCrFZ5Xx7IJWtZ/IkdUBfLzF5c3zPtpM3r0fUa3X8HZfHsv2pkgLRWCFnRrgnT94UdMUnME2h1wvMWxnNzvgCXKxN2PH0yKvuE3ijEiP/Btyox14QBKZ/c4STmeXMCvfkoxmh7b5fUVU95/KrSMwXU1YzS1RklqoMkmvbCzOlAjNjBUqFDKVCbGooFXKURjIUcjl6vYBeENA1XOoF8TOm0eupVeupVWup1eguqWJqL/wcLQjxtMHJ0gRnaxM8bM3xsBOJKEcLk+vyu08QBJ5Ze4o/TuVib2HMnwuG4mnX+lpXq9axN7GQzbG57EkoNPA5DXaxYmqoG7f29TBYLxtH8wb62rPu0cFt7s9rf8Sx8lgm/o4W/P3UcD7clsCPh9MBUWX33T3hhPvY8+BPkURllEkNrao6LR62Zvz91PB2ExN5FbUM/mAPRnIZLtam5JTX8tujg1utyTqCmUuPEJledklFTaPyCWjX8Vl5LIPX/jjD+J4ufHtPeJvbphZVM2XRIWo1OskLqik0Oj03fbpP8vA88MJoItNLee63WMK8bXl5Ug/mfn8ctVbPvYN9eOuWXshkMpbsTZFCfOzMlQZEc0vPd+HWBJbuP4+ViRFbnhzeqV6xWaUqpn9zhKKqeiL87Pn5wYHtHqvT6vS8/Hsc66PFpuobN/fkgSb+r62hkUjs6WbNpgVDu9L4/sPoIqWuI1zrgkqnF3ihweAORPnoYyMDbvgO/LWCXi+QWlxNXE4FcdmVnMmp4GxuhUHKWSOMFXK8HcylkZxG2FsY8/Bwf+4Z7NOusabT2eW8u+WcZLRtY6bk8dEB3DPYt9X58sbRv/i8SomsOpdX2SzVrxFmSgVBLpZ0c7Giu6sV3VxEssrZyqTT3xtN5cuNngtNCVMbMyWbHh/aqjdPUkEVUxcfol6rb7FIaERifhWTvjxgUCxvnD+kVUPHCZ8fILGgikWz+xGfW8nS/ee5K8Kb9xqSZBq9CzqCPc+NxN/JEkEQWLg1gWUXGZVG+NnzwfQ++DtZSt4MY3u4sPzecARBMEhymdDLhYwSVauG+J0FK1MjvOzM8bI3w9venCBn8b0Q5GKJuXHz92tlnYZZS4+SkF+Fv6MF6x8bIpFHacU13N2Q1uJsZcLPDw6ku2v7vucEQWDlsQze2XIOtVaPq7UpX97Z94qS2K4VjqWW8NmOJE6ki59Zc2MFDw3355ER/h0y7k4vruG7g6n8Fp0tGcb7O1nwxE2BTA1x7xSVw9VEVqmKVScyDTrBFsYK7hrkw4PD/No9KtBeNP2cGRvJWfvIoHYbuF4JblRi5N+AG/nYR2eUcfs3RwBY9XAEQwKubMS0Vq0jq0xUuRY2qJAa/xdW1VGu0lBVr6WqTiN5UHY2lAox1t7atKFRYn7h0trsQvPE0dKY5MJq6cQ81NOGH+8feN03HlpCY8NKIZex8sEIBgc0X6PqtToOJhWz+XQuO+MLUDWpGf0cLZga4sbNoe50ayXNrHGc7cmbAnl2fOsETXRGGTOWHkEQYPXDgxjoZ0/AKxfqiPdu683YHi7c8/0JEguqsDY14uZQd1Ydz0Qhl7Fu3iD6+7SfUNLo9HR7bSuCIBJqiQVVfDYrlOlhl1bMXApb4/J47NcY7MyVHP3fmFbrXa1OT+CrWwHRmuDwyze1+bjf7DvPh9sSuD3Mk09nXZoMXnMik5d/j0OpkLH+0SHNjL0b0/xA9NBc88hgRjeo2uLeHs+u+EIeXyU2BpvWrE2JqaZQKmRsfWq4QXiKRic2baMzygjxtOG3Rwd3qh/T2dwK7lh2TFQZh7rzxR19200A6/UC7/19ju8bQoeeHBPEM2OD2jx3KKqqZ9zn+ylXaXh+fDcW3NSVxvdfRXvX8MuPvOnCdQuFXMbHM0OxNlOy4kg6H21LJLmgmnen9W4XQfJfh1wuI9DZikBnK27rJ/5OpxdIu4ioOpUtpo5dTEiB6BmxJ6GAnHIVQc5WBDhZ4u9kgZuNqcGXeE55LR9vS+CPBp8jEyM5Dwzz49GRAZfsYslkoqmnl725wZx3uUpNfG6lRFYlFlSRXFhNrUbX4F1lmBpnY6Yk2MWKbq6WBLtYEeQi7u/lptIs3t2ckAL4/lCapOBbMiesVUKqTqPjiVUnpZSXh4f7t/q33v/7nAEhNam3a6snqLnltSQWVCGXwYggRzY2+Cv4O1lyIKmIHfH5rDyW2eJ928Jzv8Xy27zBGCnkLaqQjqeVMuGLAzw03F8yu/Zu6I5efHyX3S129Iqr6wl/dxcgdqUAyqUxCTUVtRo0uqadbQFBgKiM5qmCj44MwN/RAnsLY1xtTPFq8CTpCKxNlfz0wECmf32E1OIaHvwpUvJP8HO0YMNjQ6QCeNbSo/xw34B2mVjLZDLuHuxLmI8dT6w+SWpRDbO/O8ZTY7qx4KbAq+4PciUY5O/A2nmDOJxSwsfbE4jNrmDR7mRWHc/gyTFBzB7o3a7OoK+jBe/d1oenx3bjpyPp/Hw0ndSiGp5ZG8ui3Sk8PjqQaX2vL3KqXqtjb0IRv0VlsSexUPLbcLU2Ze4gb+4e5HvVlEuf70qWiN8PbutzTQipLnThctHfx445Ed6sOp7JC7+dZuvTw69ovN7MWEE3F6tWiY2mUGv11NRrqarTUqfVodbq0ej0aPUCGq0etU6PTi8gl8mQy0XFrUK6LsNIIcNMqcDcWIGZUoFpw2V7FQ/bzuTzZYPp85AAB769J/yKkjb/KRxMLuL9v0UF9etTehgQUlqdniPnS9gcm8v2s/kG6nUPWzNuDnVjaog7vdyt26ynBEHgWKo40j2oBcKrERqdnld+j0MQYEZ/TwYHOPDOXxcaafNG+DPY34HpXx8hp1xsFP3frb15bt0pQFStd4SQAlAq5DhYGFNcrZY8TDsr+Xd8L1c87czILqvl95icVlMYm65/rTVem6KqTqy1rEzb9367Y4AX+5OK2HomnwWrY/jrCUMlma+jaJ6fUlhNQWU9lbUa7C2MKa1Rcza3kikhbuRV9ODdLef4YGsCrjam3NrXg8dHByKXyfhwW4LB39PoBF7deMZA1a9UyFk8ux+TFx3kdHYFC7cm8ObUXu3a//agl7sNS+f2574fT/BnbC6edma8OLHlgKGLIZfLeG1KD+zMlXyyQ0xjrFCpeXNqr1aJLScrE96c2lOqZSb0ciWoHd9bXfjv4sZbHbrQLijkMt66pRcBTha8tTmejSdzOJVVzpd39r2uTYWvVyiaEFW3hApsOpUjpcI0haedGXkVdWh0ApHpZZKnSiPMjRX4O1ngbGXKnotm/Kf38+D5CcHNktA6CltzY4YEOhqYZOr0AhklNQ3eQdXiZUEVacU1VNRqOJFeKik+GmFlaoS/kyUBjhb4O1ng30Cs+TpYtNrNWrL3gofUy5MuEFKHU4qlou7VyT3aNCR+b8s5EguqcLQ05tNZoa0ueAeSitifVCT9LJfRpvy7cdtQL1tyy+skb6CmBV17sG7eYJ5Ze0oqjE5mlrN0/3lu6u5iYCQa4mkjEYAancA3+y54hPk5XSDkrE2Nmo1hOlqaSAW7kZQWAAEAAElEQVSQh51Zu8wlQST0xny636BoK1epmTWgfYVHW3CxNuWnBwZw+zdHOZlZzhOrT7J0bhhGCjku1qasmzeYB36KJDqjjLnfH+fru8K4qXtzX6+W0Mvdhs0LhvHGprNsiMnm811JHE0tZtGd/Vr1YbkeIJPJGBbkyNDAofwdl8/H2xNIL1Hxxqaz/HAojecnBDOlj1u7yF0nKxOenxDMvJH+/Hw0g+UHU0krruH532JZtDuZBaMDuS3M4x+TwAuCQFRGGRtP5rDldJ5EsAIMC3Rk7iAfxvZwvmrkmV4v8NH2RMlr742be3J7O7wtutCFfxqvTu7BweQiskpreWbNKb67J/yajKgZG8kxNjLG7h9QJq2LzOLl30+jF0QF8Jd39rsh0wQzS1QsWHUSfQMJdO8QX9RaPYfPF7P9TD474gsobeLF6Gxlws0h7twc6kY/L9t2N/bSS1QUVIom4mFtEO3LD6aRWFCFnbmSVyb34HR2uaReATHdbebSo5TUqPFztOD7e8N5eu0patQ6BvrZ8/jowMs6Ds5WpoakVJnqsh7nYijkMu4b4su7W87x7YHzzAr3bHENuXiop6Cyrk0VbnnD+tTeBpxMJmPh7SHE5VSQVVrL/34/zZI5YQav3+LZ/Zj05UEAHlsZTTcXS46llhKTUUaYtx0PDvMjt7yOHw6n8fxvsThamjA00JHHRgUgl8EHWw2JqeNppayPzmZmE7N5d1szPpkRykM/R/Hj4XQG+Tu0u/5rD4YFOfLB9D68sP40X+87j6edeatE4MWQyWQsuCkIGzMlb/x5lp+OZlCj1rFwep9W1/1pfT3YHJvHnoRCXlh/mg2PDbmum41d+GfRNb53DfBPS8+PpZbwzNpT5FXUYSSXMX9UAPNHB96QBcI/CUEQ2BFfwKc7EiXPJ0dLEx4bFcCcgd6SKWW9Vsf5whoSC0QviPOFNaQWV5NZomoWA90U7g0qFh8HMVnGy968IWXm6qXtNO5rI0mVlF9FUmEV2WW1tPbNIJOJHUB/J0v8HESllqedGX/H5fNnrKj4emFCsFT8FFbWMXnRQYqr1czo78nHM0JafS57Egp4YEUUAD89MJCRrUT+6vUCkxcdNBhzmxrqzuLZ/ZptW1RVT0J+JXd/f6Ldx6UtHHppNGdyKnl0ZXSr22x4bDAhnrZ8tSeFr/amNDPSB/jxvgGMCnYi4v3dkk9I+sIp0u2NXlkPDPXjjak9271/f5zM4em1p6SfZTLY9PjQTiOjo9JLuWv5ceq1emYP9Ob923pLr2etWsdjv0azL7EIhVzGJzNDuK1fx4iD32Oyee2PM6jUOhwtTVg0u+8Vj7xcK2h0etacyOTL3cmSai7U04aXJnXv8HOoqdfyy7EMvjuQKo3FedqZMX9UIDP6e16T1E2dXuBUVhnbzxaw9UyeQXfcxdqEW/t6cMcAr3bHTF8u6rU6XvjttPT90tZI79XCP72O/5fxbzj2p7PLmbn0KPVaPY+NCuCldioUbkR8e+A87/8tnoDfEe7Fe7f1vq6Unu2FSi2m/ybkVxHsYsX80QHsTShk97lCqpokJNtbGDO5jys3h7gzwNf+sk66Gz00B/rZs25ey35JeRW1jP5kH3UaPZ/ODKWXhzW3LTlCrUYcE5w/KoCfjqRTo9bR28OaFfcP5LsDqSw7kIqtuZKtTzVPl2sv7v/xBHsTixjs78DR1BIG+duz5pG2fZ3ai5p6LcM+3EOZSsOXd/bl1r4ezbYprKxj4Pu7pZ9fnBjM/FGtE2yP/BzFjvgC3pnWm7sH+bR7X05llTNz6RE0OoF3bu3F3YN9pdsEQaDHG9uajcVO6ePGkrvCALE2fWLNSbaczsPSxIi18wbRy100+f7uQCrv/W3oWepoaczu50Y1I8/e/Sue5YfSsDY14u+nhrfpX3Y5aBqKtfyecEZ3d770nZpg48lsnv/tNDq9wJQ+bnx+R99Wa5K8ilrGf3aAqnotr03pwUNtTD904d+JLk+p6wjXQ0FVrlLzysY4Kb3C296ct2/txejgjn0R/RchCILBiA6I3ZdHRwZw7xCfFj14WnqM7WcLeOzX6GZkj6258pJm11amRiJZZW8hEVeedheSaTqbYKzT6MgoUZFaVE1qcQ3ni6pJLaohtai6VXP1pgh2scLTzgxXG1MDE/LfHh2Mp50ZDhYmzRawiloN4z/fT0FlPQ8O8+P1m1snYv46ncuCVScNfvfxjBCsTI3ILhMVbCmF1STkV7Zp7N0IpULGuJ4uDAlw5LU/zjS7ff8Lo3hlYxyHU0p4fHQAz48P5t4fIznQRKnViFHBTqy4f6D08+nscp5dF9vimGcvd2uDCOempFRjekxfL1v+eHzoJZ9DI/R6gVuWHOJMjmFc8YZHh3Rad37bmXzm/xqNXjAc0QSRmHnht1hpJPXtW3px7xDfDj3++aJqHv81hoR8cdzy2XHdmD8q8Lo0wG0JNfVavjuYyrcHUiVfkTHdnXl1Sg/8O0jgqNRafj2WybID56X3sre9Oc+MC+KWUI9O7zrWa3UcSSlhR3w+O+MLKa6+YKxsYaxgUh83buvnwSB/h2vS8cwqVbFgVQyx2RUYycVudnvSfzob18M6/l/Fv+XYbzyZzTNrY4F/hli92hAEgU93JPHV3hRAHCV7eVL3G9LPVBAE7l8Ryb7E5ms8iIqoCb1cmdjblQg/+ysm3drjJ/Xi+ljWRWUzwNeOhbeHcMeyYwbfzwq5DJ1eYEiAA8vu7s/JzHLu+UFsxi27u/8VKW5eWn+atVFZjOzmxP6konb5OnUEX+1J5pMdSQQ5W7L96RHN1vr9SUXc+8OFxqK/owW7nxvZ6ntr+teHicksZ+ncMCb27liSXaN/mLFCzsbHh0ikElx4DZrCzcaUo/8bI/1cr9Vx7w8nOJbaPBymKWHbiPuH+jYb01Nr9cxcdpTYrHL6eduybt7gTlVJC4LAC+tPsz46G3NjBevmDe5wQt62M/k8sToGjU5gdLAT38zt3+q5SKOJv6lSzo6nR3aqiXsXrn90kVLXEa6XgkoQBLadyeftzfHkV9YBMKKbEy9OCO6K62wF0RllfLI9kaMNs/7mxgoeHObHQ8P92y0LPptbwXtbzkkR8HbmSp4e2405ERc8Z0pr1KSX1JBVqiKjRPyfWVpDRkn70nYcLIxxl2KUzQ3jlO3McLC4PH+oiyEIAiU1aomgSi9RsezA+VZVVW3B0kSMq26Mro7JLJduG9fTBSsTI4wUMvSCuEDXN3hi1Gp0HEstbf2BO4j3buvNqGBn/jiZw/KDqc2iuN1tTDnyvzFSxK2jpTFHXh5DTnktE744IJlTNyLqtbE4WhqmsNVrddy9/ESzEcmLkfjuRMnYMqWwmrGf7cdMqeDs2xM6RMgcSSlmzvLjBr/7ZGb7onzbixWH03hrczwyGXx3dzhje14Y1dPrBd7ZEi+lAV3OCVitWscbm87wW0Piy6hgJz6f1fcfGUW5XBRV1bN4TzKrjmei1QsoFeKowhNjgjrsK1Or1rHqRCbf7DsvnYgEu1jx/IRgxvZwvuzPtyAIJBVUczC5iEMpxRxPLZU67yAS4mO6OzO+lyujg53bFYHeWdh2Jp8X1sdSVafFxkzJV3P6MTyoZfXk1cb1so7/F/FvOvZNjY8vJvRvZAiCwLtbLhghvzSxO4+NuvGeW0FlHbvPFfLKxrhmt3namTGpt0hE9fOy69QmyZAPdpNbUcevD0UwNLC5qrZpqMuXd/Zl4dYE8irqmm03NdSdT2aGUFWnZeIXBymurufuQT68M633Fe3fZzsSWbQnhXE9XdgZX4BcBonvTuo0oqSyTsOwhXuorNPy9V1hTO5jSCQt23+eD7YmMCrYSVqj1j86uFXvyhEf7SWzVNXmNq1BEAQe/jmaXecK8HO0YPMTwyQvtC2n8yRD86Y4+r+bDFRoFbUa7ljWEA7jZMGGR4dItcusZUelUCMQycS/nxxOsKuh31JWqYopiw5SWaflkRH+vDK5R4eex6Wg1up5YEUkh1KKcbIyYeP8IR1WZO1PKmLeL1HUafQM8rdn+b0DWvSNEwSBOd8d52hqCaOCnfjxvgE3JFndhctDFyl1HeF6K6iq67V8sTOJFUfSpXGyKSFuPD0mqMuErgEphVUs3JrIrnMFgJiyN3eQD/NHBzQjHFpDaY2aT3YksuZEJnpBfIz7h/oyf3Rgh4ymG9N2MhoioTNLasgoVZFbXktOWW2LqYAXw8RILpFWLlamOFub4mJtgou1Kc5W4qWTlUmHFVd7Ewp5+OcotHqBuyK8ef3mnuSWi0qlX49nsP1sgbRtbw9riqrqKalWtznGeLkwN1YYpN20hgm9XFCpdRxMLqaXuzXjerrw4+F0A48cgOX3hDNvZTQ6vcChl0bjam3K0A/3UFBZz6LZ/bgl1J0Ptp5j2X7DtL3Wxu0+3JZg4CvVEpytTLhzgBezBnjham1Krze3U6/Vs+/5Ua0aw7eGO5Yd5XiTwsfV2pR9L4zqNFWdIAi89scZfj2eiYWxgg3zhxik7l3cNX92XDeeHNPx9JV1kVm8vukM9Vo97jamLLkr7IYzt04prObdLfFS193BwpjnJwQzK9yrw2ojlVrLj4fTWbr/PFUNqsUwb1temNC9xUSoiyEIAlmltUSml3L4fDGHkoubEd8u1iaM7+nK+F4uRPg5XJNRwaYoqa7n//6KZ1OD2q6fty1fzQnD4wr99q4E19s6/l/Cv+3Yf7ojkcV7xO/F+4f68tqUnje0z4peL/DGn2ekoJD/u7UX9zQZe7qeodcLnMmtYNe5QvYkFBgojBvxxE2BTOjlekmz8stFTnktQxfuQSGXcfrN8S0GEs3/NZq/4/IJcLKgul5LQWU9jpbGBkrweSP8pbHQ+1dEsj+piGAXKzYtGHrF6/7KYxm89scZxvZw5kByMWqtngMvjO5UxctnO0UD7R5u1vz95DCDY92oJHt+fDfSS1Ssj85mRn9PPpnZcrJezze2oVLrLqt2AnG6ZPKXB8mtqOOWUHe+vLMvMpmMiloNYe/sRKcXcLQ0kRpEX83px80h7gaPkV9Rx/SvD5NbUUeYty2/NoTDXJy6DDDI357VDw9q9v7afjafeb+IVhE/3Bfebp/O9qJpsnKQsyXrHxvS4SCcE2mlPLAikup6LX29bPnp/oEtBp2cL6pm0hcHUev0LRKPXfj3oouUuo5wvRZUGSU1fL4ziU2xuZLS5abuzjwywp8IP/v/JItdVFXPF7uSWBOZhU4voJDLmBHmyZNjg9p9QqTV6Vl5LIPPdiZJo25TQtx4eWJ3ScLbWRAEgcpaLTnltSJJ1cJlYVV9u5VMtubKBtLKBGcrUxytjHGwMMbO3BgHS2PsLUywNzfG3tKY+NxK7v5e9Ba6JdSdz+/oKxXWRVX1TPziACU1auYO8ubdaX2kv6HXC1TUaqio1VBVpyW3olZadM2NFbw8qTsanYC2ISVIJgMTI4V4YiwIvL7pbLP99rI3a9EHSyGX0cfDhlNZ5YBISC27O1wqcJrC38mCBaMD+S0qm6OpJXwyM5RfjqYTm13B53eEcls/Tz7fmcSXu5MZ6GfPmocHced3xww6Xo14d1pv5l7kYzBz6REi08v4aEYI7jZmvPHnGVKLalp8HWQyGBHkJJmzX44E/VByMXO/P45cJqa61Gv1nT4yotHpufeHExw5X4KHrRmbFgxtRtou3p0smd83jj529LslPreSx1fFkFZcg1Ih45XJPbhviO8N9x21N7GQd/6Kl173nm7WvDG1J4P8L00mXYwKlYalB87z4+E0yeNieJAjr0zuQQ+3C+uMRqcnPreSqIwyojNKiUova0ZCmSrlDPRzYHigI8OCHOnuavWPHFtBEPjjVA7v/HWO0ho1chk8PNyf5ycE/2MG7424Xtfx/wL+bcdeEASWH0yT/GVGdnPi8zv6Yn8DqUAbodMLvLRBHAOSyWDh9D7cMaB9xsn/FGrqtRxKKWbPuUL2JBZS1IoaPcTThk2PD73q34WNo/ohnjb8uWBYs9sLK+sYvHCPgTell72ZgcffW1N7ct9QP+DC+JmJkZw/FwxrpsC5HOw+V8CDP0XR28MalVpHalENqx6KMAjUuVKUq9QMXbiHGrWOb+/uz/gm44Y3fbqP1KIafrx/ANamSm7/5gimSjnHXxnbjERRqbX0fGM7AGfennDZiY/RGaXMWnYMnV5g4fQ+3DlQfF/P+OYIURllPDLCn28PXGhKNrVfaERyQRW3f3OEyjotY3u4SOEwexMLuf/HSINtG5udF+OtP8+y4kg6tuZK/n5y+BWHIV2MvIpapi05TEFlPYP9HfjpgYEdbkSdzhZHRctVGrq7WvHLgxE4WTVv4Dcq7lysTdj17EisriCJtAs3DrpIqesI13tBdS6vki92JbEjvkA6qQ/xtGFuhA83h7q1yzPpRketWsfyg6ks3X9eUh6N7+nCS5O6d8jE90hKMW9vjiexQDTg7u5qxVu39Lqsk87Oglqrp6CyTiKqCqvqKaiso7BSvCyoqqOgsr7ZGFpH0M/bFlszJZamSiyMFayJzJJue3VyDyxNjTCSyzA2kmMkl2OkkCEIAjo9vPnnWanb9OLEYPR6gep6HTX1WqrrtRRXN+xvVf0lvbdcrU3p7WFNL3cb+nnbEu5rj6WJEY+vimHL6Tz6eNhgYiQnKuNCKmJ3VyseHx3I5D5uKOQyXt5wmjWRWTw1JgiVWst3B9OY2d+Tj2eGkl9Rx9APxeKwUcbeFEqFDI1OJDN/un+glDJYp9ER8tYO1Do9e58fhZ+jBRqdnt9jsnlpQ/MxgZaw8sEIBvm337tCEARu+/oIp7LKcbIyoaiqHhszJQdeHN3hTlhbKFepmbbkMOklKsJ97Pj14QhpBLERTQ0+Hxzmx2tTenS40K+q0/DShtOSL96UPm4svL3PDVfUaHR6fjmawRe7DEnr16f0xNWm40mDhZV1fLU3hdUnMtHoxC9wuQwm9HIlv7KOc3mVzYxZlQoZvT1siPBzYESQI2E+dv948EVUeinvbjknEcjdXa1YeHsIfb1s/9H9asT1vo7/m/FvPfabY3N5/rdY6rV6XK1N+fyOvu1SO14v0Oj0PLsuls2xuSjkMj6dGcq0fs1Nqv9pCIJAanENB5OK2JtYxNHUEoN6x8JYwYhuTgwLcuTrvefJKa+lp5s1Gx4bck3GlRtDTVrz0mwkrRrhZW+GkVxOWrHY3OjjYcPmJ0Qy60xOBbd9fRiNTmixOXa5SMivZOIXB7EzVxLiacv+pCI+mN6H2QM7l4D8eHsCS/aep5uLJVufGoFCLqO6Xkuft7YjCKI9goOFMRO+OEBSQXWLqrzMEhUjPt6LqVLOuf+beEWk4jf7zvPhtgRMjORsWjCU7q7WUqNtfE8XiqvrJeuJPx4f2uJ6FdkQDqPW6pkT4c17DaOUM5ceNahFoWUSrV6rY8Y3R4nLqSDcx441jwzq9OCA+NxKZi07SnW9ltv6efDZrNAOH7fE/CruWn6c4up6/B0tWPlQRDMCrU6jY8IXB8goUbXopdWFfye6SKnrCDdKQZVaVM33h9JYH51NfcOCbWlixC193Zk9wJveHldHuvxPQqcX+D0mm093JEk+W6GeNrw6pScD/do/h55VquL9v8+x9Yx4wmxrruS58cHMHuB1Q6TOCIKoXipoJKoaSKDi6nrKatSU1KgpU6kpq9GQU1576Qe8hnh1cg+CXa3o4WbdrDOj1wucSC/lzm+PtXjfMd2dWX5vuMH7eun+8yzcmsCUPm7cFeHNnOXHsbcwJvLVsSjkMh79JZptZ/MNHmdmf09+a+gUu1qbkldRh5WpERvnDyXQ2ZLI9FJmLj2Ko6UJka+OMfh7jTLz9sDewpgJvVy4qbsLgwMcLtkBbOxumirlWJsqKayq5/HRAbwwoXOTn1IKq7nt68NU1WmZHubBpzObFzQ/H03njQaV29xB3vzfLb077MkhCAIrjqTz/t/n0OgE/Bwt+PquMANl0I2C0ho1n+1MZNVxcbzXwljBs+ODuXewzyW/MwRBoKCynqSCKpILq0kuqGoWTd4U1qZGhPva09/HjnAfO0K9bP9xEqoRyQVVfLYzSfruNDdWMH9UAI+MCLjmY4Nt4UZZx/+N+Dcf+4T8Sub/GiOpJ2cP9OLlST06tXFwNVCv1fHk6pNsP1uAkVzG4tn9mHQdjeOU1qg5nFIseuUlF5N7kf+Sl70ZY7q7MLaHCwP87DAxUkgNKVtzJZsXDOt0ZXtrmPD5ARILqlpVREdnlHL7N0cBccwrvVgl1asAB18cjZe9OTX1WqYuPkRqcQ0TermwdG7/TqvZK+s0hLy1A7hQ7zw6MoCXJ3VuLVFRq2HER3upqNVIPpgn0kqZteyogaH4j4fTeHtzPN1drdj61HCD53n0fAmzvzuGv6MFe54fdUX7o9cL0iikv6MFfywYSkphNdO/PoKNmZIV9w/gtq+PAODjYM6WJ4e3WJdtO5PHY7/GIAjw3LhuPDEmiGOpJS3Wpuffn9xsnDejpIabFx2iql7L/FEBvHgV0jsPJBVx/4pIdHqBJ24K5LlWDPfbQlpxDXOXHyenvBYPWzNWPRyBj4Ph+OSBpCLu+eEEchn8uWBYl6fxfwDtXcP//RKYLrQb/k6WvHdbH54Z1411UVmsjcwio0TFquOZrDqeib+TBTf3cWNKiHunyIH/aRxOKebdLec4lyd6CHjYmvHSpO7c3Met3SfLtWod3+w/z7L956nX6pHL4O5BPjwzrhu25jeOFF8mk2FrboytuXGbr21JdT0zlh4lrbgGGzMl38wNQ6sTqK7XUl2n5WRWOatPXEjbu7WvOxqdHrVWQKvXo9UJqHV6tDqR9Gxqbj462AlzEyMsjY2wMDHC0kSBhYkRjpYmOFubUFqj5qk1p5DLxPdqSmE180cF8PAIw3jZxhj7HWcL2Byb26wYfXpsEPsSiziVVc5NLRhE925IWjmTW8EAP3tszJSU1qiJzihjoJ89g/ztDUipp8YE8cy4bgD8Fp2NSq3D18Gc9BIV9/5wgrXzBnG0weR+gK9ds7/XlJB6Z1pvfjyURmpx87E+a1MjSmvUrD6RxeoTWSgVMvr72DGimxNDAhzp5W7dbMTppu7O9HCz5lxeJcEuphRW1fP9oTTuHeyLs3XHVTmtIdDZkq/vCuO+HyP5PSaHHq7WzV6Xewb7YmIk5+Xf41h5LBO1Vs8H00M65KUik8m4f6gffb1sefxXcZxv2pLDvHNrb2YN8Oq053MtYG9hzLvT+jBnoA+v/hHHycxy3vkrng3R2bx7W2/CvO1QqbVkNoQfZJaoSCmsJrlQJKKq2pGC2Yi3b+3FraEe11V64enscpbsTZF85+QyuGOAF8+M7dap780udOF6RndXazYvGMa7W86x+kQmq09ksTO+gKfGBHHnQO9/fGy1JdRpdDy2Mpq9iUUYK+R8MzeMMT061+vmcvYpJqOMgw1E1NncSoNxfmOFnHBfcb0c28OZACdLg7V41fFM1kRmIZPBojv7XTNCqkKlkZT1rRly9/ex568nhpGYX8X7f5+jpEnzIdTTRtrXt/48S2pxDW42pnx4e0inNpGtTZVYmRhRVa+VmgUZJS3bD1wJbMyUPDYqgIVbE/h8ZxJTQ92IyxFTr5uSF7f18+CDrQkk5FcRm11hoFDKbWicdsaYm1wu4/M7+kpk3/PrYllyVxgWxgoqajU0VXVklKh468+zLfpcTeztxtu39OKNTWf5dGcSLtamzBrgxfAgRw4mFxtsO3PpEX57dIhBbeTjYMHC20N4fFUMX+87T4S/AyO7dW7ox4huTnxwWx9e3HCaxXtS8LQz6/Aorp+jBeseHczc5cdJK65h5tKj/PpQhIFf8YhuTkwNdWdzbC6vbIxj4/yhN7SnXhc6D12kVBeawdHShPmjAnl0RADH0kpYcyKLbWfzSS2qYdGeFBbtSSHI2ZJJvV0Z3d2ZEE/bG+oLJatUxXtbzknEgpWpEU/cFMg9g33brR4QBIHtZ/P5v83xEukx2N+BN2/paWD2/G+CSq3lgZ+iSCuuwcPWjI3zhxicPNZrdfx4JB0QF52f7m87XWPNiUxiMsuxMFaw+7lRlxxdev43MUq7v48d0Q2S55nhIhFRUavhWGoJu88VsCeh0MD8symS3xPTYiIbUvAsWhhN7eUuvn4ZJSpqNTrGdHfm95M57Dibj4edGe9sOWew/VMN5t1v39qLU1nlJBdW42Zjio+DORklKu5afpzaBuJpVHDbRcTdg3y4a6A3+5OK+OFwmkGxolTI6eVujZWpEbnldWSWqjiWWtqQRJiIqVJOXy9bBvja08fDhp7u1njYmvHICD+eWRtLQWU9IZ42nM6uYNmB1BbHBK4Ew4OceH1KD97aHM8HW8/Ry926md/EHQO8MTaS89w6MVZZrdXzyczQDqsJ+3nbseXJ4Tyz7hT7Eot4ccNpojJK+b9be183CqD2QKXWYqqU89y4YL7cnURkehnxeZVMb+i8tgWFXIavgzlBzlZ0c7Gkm6sVvd1t8G44Qdl8OpcPtyaQW1HHM2tj+fVYJv93a296uv9z3086vcD+pEJ+PJxu8N6e0MuFZ8cF/yuaHV3oQkdhYWLEB9P7MK2vO//bGEdqUQ2vbzrL94fSeOKmIKaGul83qsFatY6Hfo7kcEoJpko5390T/o8kYlbVaYjOKONEWikn0kqJzS6Xxpcb0d3VimGBjgzv5sRAX/tWR/FiMst4888zADw/PpgRnXyy3xaiMsRaxN/Ros0QnYLKOl79I446jZ7eHtZotAKJBVWSOm3TqRx+i85GLoPP7+h7VZqi7rZmJBZUSURpeomq0/8GwH1DfPnxcBo55bWsPJbJmQZSqk8TUsrW3JgpfdzYeDKHNScyWyGlOqe5YW9hzNd3hTFz6VF2xBew/GAaA/zs2ZdYRExGGT3drIlvaG6vj85mVLBTM9NzEBtz+RV1fL3vPP/bGIeTlQnPjQ/mYHIxchk0WobFZJbz9NpTfD7LsDaaEuLG0VRvVh7L5Nm1p/j7qeG4dHIDZ9YAL7LLVCzak8KrG8/gZWfeYd8wD1sz1s4bxN3LT5BYUMWsZUf55cEIA1Lx9Zt7sC+xkNPZFfx6POOGCUbowtVFFynVhVYhl8sYEuDIkABHquo07D5XyF+n8ziQVCSOjDQQVPYWxowIcmR0d2eGBzldt2adF6uaFHIZdw/y4akxQR2Kmc8sUfHmn2fY25Ck5WFrxqtTejCpt+u/bryxEVqdngWrThKbVY6tuZKfHxzYTM3w2c4kzuVVYm9hzCcz2u7SldaoWbgtAYBnxwdfkpAqrKrjzwZjcgcLE2nxXhuZxdHzxcTlVNA00M/K1IjRwc5M7O2KXCbj0ZXRdHe1koqp6nqRJGop5cbOwhgPWzNyymuJz61kfC9Xfj+Zw5rILPYkFBqYjYKYnONlb465sRFf3xXGLV8dJiG/ijHdndELAhlNCre2klNMleK+yeUyRnd3ZnR3Z6LSS5mxVJTtlzSMUQL0cLNmepgHFsZG5FXUEpVRRrlK04SkEmFtakSgs+iJll9ZJxXlvx7P4PHRgZ3+Wb13iC+ncyr4PSaHBatPsvmJYc0CAm7r54mxQsFTa07yx6lcNHqBL+/o22Fiys7CmB/uHcA3+8/z6Y5E1kVlcy6vim/mhnU41rgz0Rg+UFJTL75m1eJlcZWa/Mpa8irqyK+oI6+irlniY2sI8RTJJn9HC4JcrOjmYoWvo3kz766muLWvBxN6ufL9oTSW7E0hKqOMmxcf5N4hvjwzrhvW19CLq7i6nnVRWfx6LFMa/1XIZdza153HRgZ0pb52oQtAhL8D254awZrITL7clUx6iYrnfovl4+2J3D/Ul5nhXv9ofVWr1vHgT5EcOV+ChbGCH+4bQMQ18sssrKwjJrOcyHSRhDqba7jmg5heO6whrGFYoGO7FJdFVfXMXxmDRicwoZcL80d1XhBIexCZLjbYwn1bT5RddTyT1/6IQy+IDb/3pvVm1Cf7AJjU25XMEhWvbRRJtQU3BV01D1N3W1MSC6oMlFKCIHR63WuqVPD02G787/c4luxNwaTh7/X2MGyozB7ozcaTOfwZm8urU3pI/pI5naiUakSoly1v39qL//0ex8fbExjWQMQeSy2hj4eNREoB/O/3OPp527UYjvTChGDyK+v4PSaH+b/GsPqRQdzU3Zk9CYX09bKVPBU3x+ai0+v58s5+BmrJ16b0JDqjnHN5lTy5+iS/PhTR6RYhz4wTEw7/jM3l0ZXRbHx8aIe8dQGcrUxZO28Q9/5wgtjsCmZ/e4wf7x8gqQGdrUx5cUIwr286y8fbEpnU261FY/Qu/LfQRUp1oV2wMlUyrZ8H0/p5UFGrYVe8qEg5kFxEaY2aP07l8kcDaRDsYsVAP3sG+tkT4Wf/j49iCILAtjP5vLvlnLRYDfZ34K1benWoM1+v1fHdgVQW70mhXqtHqZDx6MgA5o8KvCZmmP8UBEHg1Y1n2JNQiKlSzvf3Dmi2QEVnlEopJAun97nka/7x9kQppePewW0bcer1Ah9tS0TdMPLXdHRu6f7z0nU/RwtGdnNiXE8XBvjaS4XTquPiOGHTAkFVL44+WbTyuvVytyanvJYzORXMiRDly9UNxuuNcLE2oaCynq/3pfDB9BAAglysWDS7H4/8EsXuhELuGezDz0czpPsYtaEobElh19/HTpLMvzAhmJOZ5exNLORcXqU0dhrobMnM/p7S84vLqSQ+r5Lkgioq67QGI5KNxqh1Gj1h7+xkXE8XXKxNcLEyxcXaFKeG687WJtiYKTs8OiKTyXj/tj4kFVRxJqeSR3+J5rdHBzdTL00JccPYSM78X6PZcjoP4LKIKblcxuOjA+nrZcuCVTHE5VQwdfEhFs8Ok0zmLwd6vYBKo6OqTkNlrZbKOo10vapOQ2Wd+LvG2yprNRRXiwRUmUrdrGPfFsyNFbjZmOJmY4a7rSk+DhYUVNYZvG+crUx47TKM0E2VCh4fHcj0MA/e/escW+Ly+PFwOn+dzuPVyT24ta/7VSPSa9U6dp0r4I+TOexPKkLbcAZpa65kZn9P7hnse81GZLrQhRsFxkZy7hnsy/QwT346ks6KI+nkV9bxwdYEPtmRyNgeLszo78nwIKdrqp6q0+h4+OcoiZD6+cGB9Pdpv+9mR1BZpyEuu4LY7HJis8o5nV1B3kVj+ADe9uYGtaa3vXmHvs80Oj2Pr4ohv7KOACcLPmnBC/FqI6pBtT2ghdE9QRD4bGcSi/ekAKKX0/vT+/B7TDY6vUAvd2vcbc2YufQoVfVawn3sePKmwKu2r40kj0wmjlur1DqKqutxtur8Gn9mf0++O5BqYGVwsffQAF87ApwsOF9Uw5+xudwVIdaSjXV+exOz24s7B3gRk1HGb9HZHGhIRj6eVsrzDd5LQwMdqKnXcSqrnGfWnGL1I4OaTZHIZDI+vD2E4mo1B5KKeGBFJG9O7cmehELicioY2e1C6vLfcfno9DEsnh0mfdZNlQqWzOnH1MWHOJ5WyqI9KTzbYB/RWZDJZHw0I4TsMhUxmeU8sCKSP+YP7VDzHkQ128qHInjwpyhOpJVy9/cn+O6ecKk2mxPhw7qobOJyKvhkeyIfzgjp1OfRhRsPXaRUFzoMGzMlt/f35Pb+nmh0emIyytibWMS+xEIS8qtILBD//3JMPKnydTAnzNuOEE8b+nja0svd+pqN2CQVVPHWn2c50uDpc7mqpiPni3ntjzOSGemQAAfemda7w92DGxGf70pmbVQWchksnh1Gfx/Djl6tWsfzv51GEOD2ME+DGN+WkJhfxdpIkSh6Z1pvAyKiqk5DUoFo3JxUUE1iQSWnsyqoqm/un2NtasSEXq4MDnBgcIADbjYtFyCNhqAuTU7odQ1mE62RIKFetuyILyAqvUwipZrim7vCcLQyYebSo6yLyubBYX4EOosE57ieLrw+pSf/91e89BloRKOMuZFcaKq6aim1RSaT4WRtQlWRWHA+PjqQ0ho1u+IL2Homj0MpxaQUVpNSWA2IaqsIPwduD/Mgws8BmUxM19ybWCil1jXFxemBF8PcWIG1qRIbMyXWZkbSdXMTBSZGCkyV8hYvbw314ExOJXE5FQz7cA+fzAxFIZehkMmQy2Uo5DLsLYyZNyKAr/amsOV0Hqcyy/lslridgEgMCYBeEED8h14QEATxuIneZKJXmVqr564IH77am0KZSsPc749jYazgwWF+aPUCGp0ejU6gTqOjVqOjVn3RpUZHXcN1lVonBT1cCaxMjLC3NMbBwhgHSxMcLIxxtTHFzcYUVxuzhktTrEyMWvwuem1KT5btP8+iPcnsOlfI8bT9vD6lJzPDPTt84uRmY8aSu8K4I6lI8h15eu0pVp/I5IPpffDvpO+xWrWOQynFbD2Tx/Yz+VKSKYifqbsH+XBziNsNNWLZhS78E7A0MeLx0YE8NNyPTady+floOmdyKtl6Jp+tZ/KxMjFiZLDYhBkR5NThE8aOoJGQOpRSjLmxgp8e6BxCShAEcsprSWysG/OriMupkOqsppDLIMjZigF+dgz0c2Cgr/1lpZU2xQd/J3AirRRLEyOW3R1+zZNc6zQ6TmeLo2kXk1IanZ6XN8SxISYbEG0Cnh4bhEwmk9byyX3c+GxnEqeyyrE2NeKLOzve2OkIPOzEGquoqh53WzOyy2rJKFFdFVLKSCHn+QnBzP81BhBf/4v/jkwmY/ZAb97dco41J7IkUir3KpFSMpmMd6b1Jj6vkrO5YlOwqk4reTWey6ti4/whTP7yICfSS/lmXwoLbgpq9jhKhZxv7grjzm+PEZdTwac7kiRrBYVchpWpkeQZuf1sAfN/jWbJXWGSMtrfyZL3p/fhqTWnWLwnmQg/e4Z2cMTuUjBVKvj2nnCmLTlMRomKeSujWflgRIeJcCtTJT/dP5BHV0azv4GE+2pOP8b3ckUhl/HWLT25/ZujrIvOYu4gH/p4dpme/5fRRUp14YqgVMiJ8Hcgwt+Blyd1p7i6nqj0Uo43zPnH51WSXqIivUTF7ydzAHFso5uLFX08rAl2tRb9UFyscLYy6bQuVZ1Gx6LdyXx7IBWtXsDYSM6jIwN4bGRAh1RNRVX1vLclXlKBOVoa8/rNPbkl9OopDK4n/Ho8g0W7kwF4d1ofxvVsPn72yY5E0oprcLE24Y2pl/Ypevn305LsPjK9lA3R2WSUqMgoqWlmSt4a+nrZsnH+kHa9BvkVYoHi2gHFXqP8fV9SIQ//HGW4/5O6Sz4OY3u4sOtcAe9tOceP9w+Utrl/qC/pJTUGaheA5MJqZiw9wsoHI/B1tKCw6sLz7dlKgpy9uTGp1FCmEkf37C2MmTXAi1kDvKis07A3oZCDyaK5a0FlPfuTiqROm5WJEX29benvY8eh5GIq67TcOcCL9dHZaPUCHrZmTA/zkNIWCyrrKaysk8YEVWqRpGma9NNRFFerue/HyEtul1Neyx2tpCReDmrUOhY1dJgvF0ZyGdZmSqxNjbAyFYk5K5MLBF3j76xNlThYGuNoaYKDpTF25sZXTLwYG8l5YkwQ43u58uL6WGKzK3hxw2k2n87lg+l9LmtEcUQ3J7Y+PZzlB9NYvCeZ42mlTPzyIM+M7cbDw/0u64SmuLqePecK2RFfwKGUIuo0Fwg9TzszpvX1YFo/d4m07UIXutB+mBgpmBXuxaxwL87lVbI+Ops/Y3Mpqqrnr9N5/NWgNG1UqIf72tHbwwZfB4tO8fpsJKQOJouE1Ir7B7ZqyN3WY2Q1BDZklIqBDYn5lSQVVBuoj5vCy96MEE9b+nraEuJpQ28PmxbH7S8Xm07l8MPhNAA+nRUqjblfS5zOrkCt0+NkZYKPw4Xv88o6DY//GsPB5GIUchnvTevNnQPF5liFSsOR86Ifn4Wxgo+3JwKw8PaQqz623kjy5JbX4utgQXZZLenFNS2qvDoDk3pfaHBePKrZiOlhnny0LZG4nArisivo7WFNbrlYr3Tm+F4jTJUKls7tz82LD0nj9+U1aozkMkpr1Bgp5Pzfrb157rdYPt+VzNBAR/p5Nx/NtDAx4of7BnD7N0fILFWR2eC6sD+piDsGeEkKf4Bd5wqZ90s0S+f2l+qKW/t6cPR8CWsis3hqzSn+fmpYp5ODjpYm/HDfAKZ/fYQTaaW8sjGOjy9hzdESzIwVfHtPf55afYptZ/OZ/2sMX9zZl5tD3OnvY8+0vu78cSqXN/88w4bH2lfXd+HfiS5SqgudCkdLEyb2dpNibStqNcRklBGbXd4gx66guLreYPyoEdamRnRzsSLIxQo/R3O87S3wcTDHx0H062kvDiQV8dofZ8gsFb18xvZw4c2pPTs0KqLXC6yOzGTh1gSq6rTIZDA3wofnJwRf91HNnYW9CYW8/ofoU/DkmKAWFUMn0kqlwu6tqb2orteSWaKioLKO/ErROye/sk78uaKO5AZFTyM+2pbY7DFdrE3o1uCb083Fku8OppFSWM2cCG/2JRSSW1HH/FEB7V648ivrgYtIqUtMV4U2dGvqNHoOp5QY3Na0+/bK5O7sSyxkb2IRB5KKJINUmUzGGzf3NCClFs/ux6c7EkkvUTFj6VF+fmAgNeoLBbmTdcvz9I0d8NKa5v5D1qZKbu3rwa19PRAEgeTCag4kFXEguZio9FKq6rUNhNUFU+k1kVnS9ZzyWqb188Df0cLgeGp1eqpaGFGrrNNQUatBpdZRp9FTr71wWd/kZ7VWj04QJEP6RnRzsUSnF9A3qJ0alU+NcvtGeNubY6SQIWs4lnIZyJDRuItGChlKhRylXI7SSIaRXI5SIce44fqfsbkGjzemuzPd3awwUyowVSowNzbCzFgu/WymVGBmrGhyu7iNqVL+jxdIwa5WbHhsCD8cTuPTHUkcTC5mwucHeP3mntwxwKvD+2diJI703RLqzisb4ziYXMyH2xLYEpfLh7eH0Mu97U5ldb2WE2klHE4p4XBKMQn5VQa3e9iaMa6nCzeHuNHfp3naZBe60IXLQw83a16/uSevTu5BbHY5u84VsCu+UFKnN1WomykVdHO1ItjFEm97c7zszfG0M8fLzgw7C+N2jWbXaXTM+yVaIqR+vG8AA/2aK3qKquobmhpic6OoUvTME0+2VS2O3jVCqZAR4CQ2JoNdrejpZk2Ipw0ObZh+Xynicyt5acNpABaMDmTCJdTdVwuR0ujehe/J7DIVD6yIJKmgGnNjBUvmhDG6u7N0n13nCtDoBOwtjPlqr9h0uSvCm8kNjbKrCXeJlKpjeJAjh1Iw8MzsbMhkMvwcLSTbgTM5Fc1G+OwtjJnQ25XNsbmsjszkebtgajWiQvdKlXStwcvenC/u7Mv9Dc22T3cmSSnHcdkVTA/zYF9SEZtjcxsIo+FYtkCoOlmZ8NMDA7n9myOUNjQCdXqBqjotXvZmZJXWEuFnz+nsCvYlFvHwz1F8e3e41Fh/c2ovTmaWk1hQxTNrT/HLAxGdnrDbzcWKr+b044EVkayPzsbfyYL5ozo+ImpipOCrOf14Yf1pNp7M4cnVJ9Ho9NzWz5OXJ/VgR3wBMZnl/HEqh9v6eXbqc+jCjYMuUqoLVxU2ZkrJtBlEuXZ+ZR2nsys4m1NBUkE1SYVVpBfXUFmnJSqjjKiLTmRBJLt8HMzxtjeXRmBcrE1xtRavO1iaUFqj5t0t8WxqUDW52Zjy1i29OlxwpBXX8PKG0xxPEwuG3h7WvDetD6EtjFf9G1Gv1XE8tZT7V4gLrruNKd1cLFl9IpMylZrSajWlNWqyy2s5kXbBVPuxBpl1exHmbYuPgwXe9uYS+RjoZIWN+QXSr1yl5vU/zgJiQb7qeCbmxooOpeOUNSz2jlbtH29orXsLsC4qi6mhYrKKv5Ml9wz25YfDaby35RxDAhwktYlRQ1peo8z71Y1xLJrdjw+3JXIur5I7lh01KDadWinC7c0bSan6NvdZJpNJZN5Dw/3R6vQkFlQRk1FGdEYZkellzcgfgDGf7sfSxIgAJwt8HCzwdbTAz9EcXwcLfB3E310uBEFgwaqTbInLw8nKhJUPRrTqN7bjbD6PrxINZ/t62fLZrI6n8jVi0ex+nMws47GVol/IsdQSZvT3lBRuNxqMFHIeGRHA2B4uvLThNJHpZbz8exy7EwpZOL3PZZ3Aedmb8/MDA9kQk8M7f8VzJqeSW746zKMj/XnipiCpI5tfUcfJzDJOZpUTlV5KbHZFM7P/Ph42jOvpwtgeLvRws+oiorrQhasIuVxGP287+nnb8cKE7pRU1xOZLibRRWeWkZhfSa1GR2yW6MnUEqxMjbC3EFWdliZGmBjJMTaSS5f1Wr1USwGYGMlZsu88C7eJjbqqOg1VdVpUTUZ024KViRHeDeu8n6MFwa7WdHe1wtfB4pp6Y5Wr1MxbGUWdRs+Ibk4808l+PB1BIykV3jAKGZddwQM/RVJUVY+zlahSuZiE2XpGVMY1khjdXa06PUm3NTSSUnkVtVLKa3pJ81HLzoRScWEteXvzWdbNG9xsfZk9wIvNsbn8eSqXyQ0NcTcb06s6Jj462JkJvVzYfla0QKhtaDCeyalgYm9X3p3Wm5iMMjJLVby56Syfzgpt8XH8HC344b4BzP72mESmbTmdy3Pjg/l4eyKnsyv4cEYIL284zcHkYh5YEcn394U3NNYULLmrH1MXH+ZwSgnf7D/P46M731NsVLAzb93Sizc2neWjbYn4O1pIwoOOwEgh55OZoSgVMtZFZfPsulg0WoFZA7x4fHQgH29PZOHWBMb3dO1UVWQXbhx0vepduKaQyWS42ZjhZmNmQBbVaXSkFtWQXFhFckE1GaUqMktqSC9RUVGrobi6nuLq+mbKi7YwPMiR5IIqiqvrcWgovqxMlViaGGFpaoSliZFBMaTV6Vl+KI3PdyZRr9VjplTw3Phu3D/Ur1Nk8FcLer1ArUZHjVpLrVpHTb0OlVrbMHolXtaodajqL/yuul7XYN6slRQwjdcv9tPJrahjwaqT7doXpUL0CnJuMM5u9M1xsTZlb0IhW+LyMDaSE/nKWAPyqTX8HZePWqenu6sV2Q3Kt9HdnTtUbFTWiQqjpmljjTXNxSfXII5s3v39cYPfjQ524vWbezLms/0cTC4mpbBKGkd6akwQv5/MlrrU9w/1AyC9uEYipLztzcksVfHM2lMsuzucT7YnciK91EDR49WK9N7SVPyabkwMbC9EUsyGXu423N0Qt/vyhtMGSqlGVNdriW1QMl4MGzMlvg7m4ufW1hT3hstGY25nK9NWPx+NhpnJhaJHWGPaTEtd+vG9XFkyJ4z5v8bwZ2wuMhl8OvPyial+3nb89eQwFqyK4VhqKY/9GsO8kf68MD74qvpuXE34O1my9pHBLD+UysfbE9kZX8CprHI+nhHCqGDnSz/ARZDJZMzo78mIbo68ueksW8/ks2TveZbsPY+vgzn1Wn2rBsNDAx0YEuDI4ACHNqPMu9CFLlxdOFiaMLG3KxMbxp10eoH0khoS8qpILqwiq7SWrDIV2aUq8irrEAQaiCVtu5UuZSqNZO58MZQKGU6WJjhZm+JiZYKztQnOVqZ425uLRJS9OfYWxv84Wa3TCzy55hRZpbV42Zux6M6+/1htp9cLxDTUswN87dlxNp+n1pyiVqOju6sVP9w3oNn4WVWdhgNJF1TPZkoFX80Ju2YefS5WJshloNEJEmlwNZVSKrVW8ssEManw77h8poQYEiKD/B3wdTAnvUTF4j2i3YTvFTTT2oslc8IIfHUrAOkNxyEuR6yhbMyUfHFnX+5YdpQNMdmMCnaSmpkXo6+XLUvu6sfDP0dLSvLzRdX097EjOqOMIynF/PzAQO77MZKjqSXc92MkP9w3AEsTIwKdrXj71l68uP40n+1MYpC//VUJILhnsC+pRTWsOJLO02tPsc5WHK/tKBRyGQunh2BsJGflsUxe3HAatU7Pg8P8WBuZRWapiiV7U3hxYvdOfw5duP7RRUp14bqAqVJBT3drero399WpUGnIKK0ho0RFVpmKgooLo2EtnUQ3Yl1U9iX/rrFCjqWpkdR1agp/Jwvicir43++nGzqICoyN5Bgr5CjkDSNFMhnyhvEiuUzWkErS8LNchk4vSGNKOj0Nl01/J6ATBPR6AY1ONG9Wa/XUa/WotbqGS32TS53Bz6oGc+arBSsTIzzszLBq8NSxMzfG3kJJcmE1+xLFAvWZsd2Y1s8dewux49pS4VlVp2Hh1nMA/G9S93YRUiDG4oI4P7/6hDhjP7mDHZrKhrl/6yZjl43y57qLjl1yQRX3r4gku8xQUfTxzFAcLU0Y18OFHfEF/HA4nfdv6wOAjbmSFyYE8+rGM3yyPZEJvVxxtzWTDEpHdnNi8Zx+zF1+nNPZFQ0S7P6sjcri95gc6W9YmLRcWDYSp+pOMN9+aLg/ayKzUMhlbHlyGLcsPoxap+ej20OwNlOSXlJDRkkNacU1pBeryK+so6JW0yphBWKR4WIlnpA4WZrgZCV6KzlamuBkJV7+b1IP7l8RSVRGGR9tS+DVKS13dsf3cmXJXWE8/muM1KX/bNblnzg4WorqrA+3JfDdwTSW7U8lPreSr2aHtfs9eL1BLpfxyIgAhgY68vSaUyQXVnPfj5HcO9iH/03ucckTFEEQKK5Wk1FSQ2pRDQn5VSTkVzYbw0tvcrLR082aft629PWyZZC/Q1dqXhe6cB1DIRdH4sQgFsP1UqcXqKjVUFqjFpXPNWpUaq1UV6jUOhZuTZC2H9vDmeFBTsjlMsyUioZaoNFT70L4RWePDV0NfL4ziQNJRZgq5SybG46t+dUzh78UUhumA0yVco6llvD+1nMIguj7t2ROvxZN1/ckFEopxADvTut9Tb2wjBRyXK1Nya2ow7ihsZNeUoMgCFeFcDyXV4leENNn50R488WuZN7/+xxjehg2JuVyGXcO9Gbh1gRpwsHX8eqTUkYKORF+9tLfhAtpiiCSjQtGB7JoTwqvbIyjn7dtq75fN3V34YPb+vBiw1jp7zE5fDozlOiGtL95IwP4+cGB3Pv9CU6klXLvDydYcf8ArEzFNNvDKcVsOpXLk6tPseXJYVflvf3alB6kl9SwL7GIh36KYtOCoa0GDLUFuVzGO7f2xlih4IfDabz2xxnUWj2vTunBvF+iWX4wjTsGeF2RSr8LNya6SKkuXPewMVcSYm5rwMrr9QK/nsgkubBako/fHOLGLaHuVNRqGootDWU1akoaiq+yGjVV9Vpq6i9IztU6fYuEFMDZ3AsJGzcCZDIwVyowMzbCwkT0xBG9ccT/FsZGmDf5vbWp0sDE2cJEwXPrYkkurMbewphNjw9t8eSzVq1j4pcHAJg90JunxjZPF7kYyw+mUVytxs/RgrmDfNr1fAor6ziWJvo5BbtaklmqwsRIzqjg9o/uCYJAZUOKSVOllLlS/OprSugdSSlm3spoKfWkKQ6nFHNrXw8eHObHjvgCfo/J5oXxwZLf0+wB3myMySEqo4zX/zjDN3P7s/qEqEiaGe6JtamSXx6I4P4VJ4jJLOf+FZF8d0+4ASl1zw8nWDS7XzPViUkDKVWvvXLyMdDZklAvW2KzyjmUXMwtfd1ZH53NwZRiFs/u12x7lVrspGc1+ILkVtSSV15HXkUtueWiV5hWL5BbUdduk/rvDqbx3cE0hgc5YmtujJ25Urq0MzfGxlzJIyP8+Xrf+U4hpowUcl6d0pMQT1teXC9K4G9dcojl94bf0Obbvdxt2PzEMBZuTWDFkXR+OprB0dQSvr4rDDcbM/IqROI+t7y2gWxUkVYsko41rYzcyGVih7dMdcG/LNTThq/n9u/0JKMudKEL1x6Nyaf2LaT16fUCL6wXT4qNFXKW3xveoVH56xnbz+ZLHkwLp4e02AC9ljiZKaqk6jR63vtbbNjNHujN/93aq1W/r1+PXTC/nh7mwe39r733joedGbkVdRIJWVWnpUylafH9dKVoTCbs42HDvBEBrI3MIqe8lu8OpPLEGMO68/YwTz7dkYhGJ6rf/RyvTeNkRDcnA1KqRq2jsKpOMh1/ckwQB1OKOZlZzrNrY1n9yKBWa5lZA7zIr6zjs51JALz151lu6u7MnoRCvtiVxJd39uPXhyOYu/w40Rll3P39CX56YCA2Zkreu60PsVnlpJeoeGnDaZbO7d/pRKGRQs7i2f2Y8c1REguqeHBFFL89OviyRu1kMhmv39wDYyM5S/ef5//+iuflSd0ZHuTIweRiPtqeyJI5YZ26/124/tFFSnXhhkNWqfile+S8SFgM9LXn45khHWLVtTo9R1NLmPdLtERQWRgreGlSd2zMlKJps05PvUaHWqdvMHG+oFbSCyLhoRdEqW2jYbPhz2L3SCGTNSirZCjkNLl+4bLx/wVfB4WBx4NJs9+Jqi0zpQJzE5FwuhJTZkEQeGPTWZILqzFVyvnhvgGtqiG+2JVERokKNxtTXpl8aYltSXU9yw+mAvDChOB2GawC/HU6D0EQvacaJdyDAxw6tABqdII0otc0ddG04Xrja78uMotXNsahbTLONzzIkUBnS348nM6O+AJu7evBQD97entYcyankl+PZ0hxv3K5jA+m92HyooPsTijkidUxFFeLvhCNY6o25kp+eTCCeb9EcyilmLuWG44IHjlfws2LDrHkrn4G8uvOVEoBzAjzIDZLNJT88PYQ1kdnszUuj/zJPZoZg5obG9HDzZoerSQD6vQCxdX15JbXUlRVT3G1uuFS/H/hurqZT1dT8/W2sOlULptO5eLvaIGtuRJLqUMvjuBaNfzceN3aVBzPbfp7EyM5U0Pd8Xey4JGfo0kvUTFtyRG+vLMvY3o0T5S83iAIAjVq3QWSvcmlqVKBq7Up+ZV1JBVUM/azA5d8PJkM3G3M8HU0J9jFmu5uVvRwtSbIxRJTpQJBEFgXlcXbm+OJza5g4hcHeP+2Pq2OH3ShC124sSEIAm9tPsuGmGwUchmL5/T71xBSqUXVPLcuFhCTcaf18/iH90hsdDXF/yZ155ER/q3WcCq1lhNNVDjv3Nr7qu5fa/CwNSOSMoqr63GzMSWvoo70kpqrQkqdavBDC/WyxcxYwcuTuvPUmlMs2ZfCtH4eBjWqU0Ot1ZhGeS3G9wD6+zRP1pu/Mob1jw0BRCLnyzv6MXnRQU6kl/L13pRmhFpTPHFTIDvi8zmTU0lVvVby7vozNpfHRgUQ4mnLqocHMff745zKKufu74/z8wMDsTU3ZvHsMKZ/c5jtZwtYeSxDsm3oTFiZKll+bzi3fX2Y+LxKnlpzimV397+spqFMJuOlicGYGMn5cncyC7cmMLmPKzIZbDmdx0PDylpMLuzCvxddpFQXbhgIgsCqE5m8v+UcNWodpko5L07ozn1DfDskHVdr9Xy1J5kl+86j0ws4Wprwzq29blgT5M7AD4fT+eVYBjIZfHFHP/q2Yup+JqeC7xoIpnen9W5RYn4xvtl3nhq1jj4eNgYRv5fC5tOiSmZqqDu7zolmkiM7WCQ39YwyavIesWggpcpq1Pzv9zhpNLARk3q78sWdfTmXV8WPh9PZl1BIrVqHmbGCh4b58/TaU3x/KI37h/pJJFmQixWPjQpk0e5kyfzyrggfAxLOwsSI7+8L58nVJ6VtGv9eUkEV54tquGPZMV6e1J0Hhvohl8skmfzFXl+Xi0l93Hjzz7OcyanEykTJQF97TqSX8ltUVpvFUktQyGW4WIueYZdCrVpHXkUtYz/bL8U7vzgxGFW9jjKVmvJaDeUqNWU1DZcqjYGSLbX48g1VFQ2jJ2bGCmobiMjqei0P/hQFiMe/MX3PTKlAaSRHKZdhpJCLSX9ycWRXqWj4nVxM/zNSiMSyIICA0HApflc1opGsVmv1F43nXvhZrdVTq9FRXaelRq2lul4rXq9vuF6vbTUSuy00DRFoNK73dRSTuEyMWh/zk8lk3DHAmwg/B55ee4pTWeU8sfokJ9JKee3mHm3etwtd6MKNh4+3J/LzUbEG+GRmyP+zd9ZhUSVcGH/vJN3dIgiKSCoWduvq2l2rq2ustW64u9/2rm7Y3d3da2KjSIp0SEh3w9T9/rh3LjPkDGHt/J7HRxiY4TID3HPPec/7vrVEupamXCDCgiPBKK0SobOdPr4d1v5tHxKyiitxQcZEfttUz0bT86RJbwBwbYnvWzOCljaCUvLLYWuogYyiSiTnlcGzFZoH0qaUtB4d6WaB4wEpeJqYj1+uRGL3DG+5z5/W1ZZpSrVmeqMsblZ64LAIuYFmYHIBrodnMNcUNoYa+GWUC1acCsOGO3Ho4WhU7/NFEAQuLOzBeFUdeJIEBxMtxGeXYu3NWOye4Y2Olro4NpdqTL14XYQpu5/h6FwfuFrp4puh7fHrlUj8ejUKXrYGraIItDbQwM7p3pi8+yluR2Xhn5sx+LqJHlAEQWD5wHbgcVj4+0YMroVnMh9bfT0aJ+d1fetedCreHKqmlIr3grzSKnx15gXuRGcDoCJ0/xrnhjZK7o3HZJZgxalQZi3vIzcL/DrK5a16C7xtbkRk4rerkQCAb4e2Z8xSayIUS/DVmReQkNTzpojCJKOoAofoiOqVg50UPrmk5pcjJKUQLIJKOVl9jfK4ULYpJZJUN3I4Miku0rU7qWxelone1vhjjCvYLAJuVrpMNO/NyEyMcrfEiE7m2HA7Fkl55Tj8NBmf9W7L3HdR37bYdCeOeX+yj3Wtx+dz2HIGmQDgn5iH+yv74rsL4bjyIgO/XY3C/dgc/DPejVnfaymllJEWH13tDfEkIQ/XX2Zgso81ApLyceJ5Khb1dWg1bxB1Hhv2xlp4/E0/DN/0iEpwLKhgvLnqolIoxvGAFPx8mfr5NNXhY+UgJ5RWUSa91P9CFFdSTRxpIpT0Y1J1llhCyr1fk+svM+u8/V1DjcuCoSYf+prUqqOhJg/6mjwYaPBgqqsGE20+Tge+xtVwqjDX4nPw66iOTfbXsDPSxJnPumH97Vhs9UvA4afJCHtdiK1TPFW+UipUfCBs9YvHtnsJAKhh04cSyU6SJL47/xIxWSUw0uJj6xRPhZXarUV0ZjEm7PBn3t8xzbPRJLOw1EJmRYzHYb3V1UPp3/3U/HLYGWriaWI+knJb3uw8v0zAmKhLk68JgvIiGrrxIW5FZuFOVJZcHSrrrxWUnF+niqmlUeex4WKpi7DUQqZ5BADLTobCTFeNUfqM9rDEvZgcXApLx7ITlO9TfUNdDpuFk/O6YuKupwDAPKY02MTdWg8dLHRw/NOumLrnKSIzijF591McneuDT3rY4Ul8Lu5EZ2Px8WBcXtyzVRqYXrb6+HtcJyw9EYrt9xLgbKaNUe5NVyAu6usAHpslV5MHvMrHnahsDOjw7qvZVbQMqqaUinee+7E5+OJUGHJLq8Bjs/DVECelE/HEEhJ7HiZi7c1YCMQS6Glw8dvHHTGi0397HeXF60IsPRECkgSm+thgrm+bej93z8NXiMwohp4GFz9+pFgE8aY78RCIJOjSxgC9HI0UPq5/6SaBTxtDJOSUQiCWwNpAXekmpEgsq5SqLkZjapg6S1nQpy2+kmmeEQSB0e6W2HQ3HudD0jDK3RIcNguL+zli5ekw7H6QiBndbKHBo/6U8jls2BtrIjGHUvX4RWdjYmebWl+Hw2Yxa4AAUFguxLzDgdg8xQM+9ob4/WokHsblYvCGB3BphQJ0qKs5niTk4drLTJyc1xU/XoxAWmEFHsbnKt34UxZzXXVsmOiOmfsDcOxZCrrYGdS7TqHGZWN2jzbQ0+BixakwZBVXISazBN8Nb69Qg1PajKoUilFBhwKUC8TM+3sfvYJ/Yh7z+RO8raCvyYNQREIkkUAoJiESSyCSkBCKJRDTgQQiiQQiMXWb9CeMALUWR4AKPJC+Dfp26eotj03/z2GBx2Yzb6txWdDmc6DJp1YOpSmh0ve11TjMz1lD9HEywaS4HCw7EYrIjGKM3PIIW6d6wtexaa8rh83Cl4Od4W1rgOWnQvHidRGGb3qIdRPcVcWiChXvOQcev8LfN2IAAN8Oc8ZUH8U8H98Hjj5LwfmQNLBZBLZO8YCJAore1uRBbA4WHg2WG4401pAqrhRi4dFg5v0Dszq32vEpgjQlODW/HN3bUjVdcl7TVcz1EUarpOyNNaErE1LjaKqNOT3bYOeDRPx0OQI9HIwY0/MkGTX1qcDX+NS3/nXIlsTLRh9hqYUok3ldq0QSzD0YiHMLu8PWUBMEQeC30R0RlFyAlPxy/HgpAusmuNf7mD72hkz6niyb78RhL/0z4GSmjRPzumLy7meIziyhG1Nd8fd4Nwzb+BCJOWX48VIE/hnv1irf9yh3S0RnlmD7vQR8deYF2hhpNimRT8qnvezB47Dw46UI5rbV16PQx8n4vU1MVqEcqqaUineWKpEYf16Pwb7HrwAAjiZa2DjJQ+kpUXJeGVaeDsPzJOqPez9nE6wZ4/rWC5S3TXphBeYcDESlUILe7Yzx80iXek/gr3LLsOE2Zb74v+EdFIqAT8otw6lAyuz7SyVUUgBwi17XG9LRjImh7uVorHSBIZVUEwS1wiUUS7D5TlytEz2HReCP0a6Y0Lm2smm0pxU23Y3Hg9gcxsDyY3cLbL4bh+S8chx4koSFfRwAUDG+r2QKo18uR6JLG8NazbSiCiHTkAKoaOdnr/Lx0eZH2DbVE1c+98WykyF4mVaMx/FU06QljM6lDHExww8XXyIstRC5pVUY42mFA0+ScCIgpdWbUgBlDvp5P0dsuhOHVefC4WKhA0fT+k3HR3tYoUoowTfnwrHn0SuocdlYOdip0a/DZhHQVefKFbWyDOhgioBX+VhwJAh5ZQLcicrG9mle6NKm5SOV3yS+jsa4usQXC44GISSlEDP3BeC74R3wSQ+7JhfpfZ1NcHWJLxYdDUZoaiHmHgrEsgGOWNrfUSWvV6HiPeR8yGv8RKtQl/R3xLxebRu5x/tDaGohfqG/t6+HOMHH3vCtHs/xgBR8f+GlnKXA8E4NN6RIksSqc+FIK6TSgAkC6PyWz002hlRTKq2wAtYGVPiFbFJrSxFSY3VPliX9HXEpLB2p+RXY5hePFYOoWkC29orPLsWzV/no+gZed287fex7/EquKeVkqo2YrBLM2v8c5xZ0h74mDzpqXGyc5I4JO/1xLjgNvdsZN6gu+mFEB4za+ljutjvR2YhML2augxxMtHFyXldM2f0MsVmlmLTLH8c/7YoNk9wxZfdTnAl6jR4Ohq2mflw5yAkxmSW4G52NeYeCcGlxj2ZdW83sbgcum4Vvz4cDABJyynAq8DWm+NQe7qr48FC1HlW8kyTklOLjrU+YhtT0rra4/HlPpRtS50NeY9jGh3ieVABNHht/jnXF3pne//mGVLlAhLkHA5FTUgVnM21smeJR7yRCIiHxzdkXqBJJ4OtohDGeikl0192KhVhCoq+TMTrbKV5IFZQJmFjd/u1NcJ9uSjWlWSKhvX1YBIFXuWUYt8Mfm+7Gy32OHm1AXldDCgDaGGnC00YPEhI4E/QaAKUeWUr7L233S0BeaRUAYOf9BJAk1fj0aWOAMoEYC44EoVIo31B6ImNy6math8uf94SDiRayiqswcedTPI7PxbkFPbCob/VFgl9MDu5EZaElMNbmowv9mlwPz8SkLtT3fisyCzklVS3yNRpjaX9H9HQwQoVQjAVHg+UKurqY1MUGP490AQBs8YvHlrtxDX6+onRpY4CLi3ugg7kO8soEmLrnKU7U8Bh7HzHTVcOJeV0xzssKEhL49UokvjzzolnNTUs9dZya3w2zutsBADbcjsPiYyGMT5cKFSreD+7FZOPL01TS3uwedliuQIru+0J+mQALjwRBIJZgiIsZPvW1f2vHIpGQWHM9GqvOhUMsITHGw5KpZRrzYToWkIKrtEcSAIxys3jr64dmOmrgsgkIxSTUpQqlVlBKSdMJPepoSmnyOfjfCEqtv+N+ItOMSsiRP44jtHVEa+NNrwmWVIkgnc98N7w9LPXU8Sq3DJ8eCmRqQG87AyYg5/vzL5GaX39Dz81aD/2cTWrdvrlG7WNvrIWT87vCQleN8iXd9RS2hhpY0r/667xqhidnQ7BZBDZOcoeDiRYyiysx73DteldZpvjYyKm7vj0fXq/1gooPC1VTSsU7x9UXGRi5+RGiMophoMnDnhne+PXjjoxEVxFKq0RYcTIUy0+GoUwgRhc7A/y7rBcmdrb5z0/1JRISK06GITKjGIaaPOyZ6d2gYfnJwFQ8e5UPdS4bf4x2Vej5i8ooxqUwysjzi0GNK1pk8YvJhoQE2pvrgMNiISmvHCyCSt5TFqm5uVhCYujGB4wkXJbzC3s0+thT6JWGo09TmEnnx+6WcLHQQUmVCJvuxCE1vxznQ9IAUPvxmyZ7wEiLh+jMEvxw8aXc4z2Iy2Hebm+mDQcTLVxc1APDO5lDJCHx46UIfHE6DPN6tUVfp+pm3JyDgVh8LLhFGkdSY9VbUVlwNtOBu7UeRBISZ4NfN/uxFYHNIrBhkjtMdfiIzy7Fd+fD5QzC62Jmdzsm8fGfm7HY/SCxRY7FSl8DZxZ0w/BO5hCKSXxzLhx/XIuSm2q/j/A5bPw9rhP+N6IDWATVVJ286ynyywRNfkweh4WfRrrgz7Gu4LIJXA3PwPidT5BRVNGCR65ChYrWIiy1EAuPBkMkITHK3QL/G97hg6mLxBISS0+EIL2oEm2MNPHX+E5v7XurFIrx+YkQ7LhP+XUtG+CItRPc8DKtCADgYaNX732jM4sZpZeUgR3evvk8m0XAUo9SSLHo57WwXNisc0pNJBKSqdXcretu3A3taAZfRyMIxBL8cPElSJJEfDZlyzCJHjDeiMhEdkllix1XfZjoqMHaQJ0KOqFLhvwyAfbP7gxtNQ4CkwvwxakwSOh6Ykk/B3ja6KGkSoTlJ0MhEtfvF7q4n0Ot266/zERCTqncbbaGmjg5vxus9KlG2MSdTzHW04oZjn5+PLhF1fayaKtxsWeGN3TVuQhNLcR35182Wss1xjgvK7nGVMcfb7z39ZiKxlE1pVS8MwhEEvx8OQKLjgVTjaQ2Bvh3qa/SviVhqYUYvukhzoWkgUUAywe0w/F5XVXGvDTrbsXi34hM8Ngs7JzuBSv9+p+XrOJK/EEbD64c7KTwcyg1+x7uao6OlrpKHZ80aW9gexMmAtnFQlehpL+aFJRXF0qVwrpP/HaGjX9PIzqZQ1+Di7TCCub4WCwC3w2nknyOPkvB4uMhEIpJ9HQwgpetPkx11LBpsgdYBOVvcOo5tcpIkiTux1Q3paTydE0+B1sme+B/IzqAzSJwOSwdwzY+hECmYGERwJUXGRiw7j5OBaYyRU5TkE7ggpILUFguwGRaLXXyeWqzCwpFMdLiY8sUT7BZBC6EpuN4QGqj95nXqy1WDGwHgDKqP+Sf1CLHosGjnv9ltGJg14NEfHYkCOWC93tCRxAE5vRsg0Of+EBXnYvglEKM3f6k2T4gEzvb4OjcrjDQ5OFlWjFGbnnMXGypUKHi3SQxpxSzDzxHuUAMX0cj/D3OrdXCLd4GG+/E4WFcLtS4LGyf5gmdJtQNLUFuaRWm7H6Kqy8ywGUTWDfBDcsGtENqfgXyygTgsVn1+kWWC0RYdDQYVSIJbOiai8sm0Kud4r6crYm0DswprYKFLrV1kFijSdIcXuWVobhSBD6HBWfzutf6CYLAL6M6gsdm4WFcLi6/yEBsFnUMo9wt4WGjB6GYZOqu1sbbVn4bICqjGO1MtbFzuhczvPn9WhRIkgSHzcLGSR7Q5lMNqy1+8fU8KqWm6+lAve5W+urM7f3X3q9Vp1kbaODk/G6wMdBASn45Ju16ipWDnaCvwcXLtGKsuR7dgt+xPHZGmtgyhap3zwa/xt5Hr5r9mOO8rDBAxsh+wZEgVWPqA0fVlFLxTpBRVIFJu/yx/3ESAOCz3m1xbK6PUmt2EgmJnfcT6AuucljqqePk/G5YOsBRKVP0D5mLoWnMCfCPMa7wbmSt7seLESipFMHNWo9Z2WmMqIxiXH+ZCYIAliq5ElAlEjMNG8rvh/JTUmb9D6AaP8cDUjB806NaHyMIytBcSkG5sNHHU+OyMakLtdMu2wTp3tYIA9qbQCQz2ftSxuuoe1sjRin2v4svEZlejPjsUqQXVU/vvO2qJ4HSBsLpz7rB1lADaYUVjKfU9K62uLS4JzqY66CoQoivzrzA2B1P8OJ1YeNPSB1YG2jAyVQbYgmJ+7E5GNHJAho8Nl7lliE4pWmP2RQ62xngK/o5+/lyRL0m9LJ83s8BC+nX8IeLETj5vGXW7QiCwLIB7bBxkjt4HBZuRWZh/A5/ZBa1/rS1tenpaISzC7ozKwVjtj2pUzmoDF3aGODioh5wNtNGTkkVJu70x2OZ1VQVKlS8O2QXV2LGvgDklwngaqmL7dO8wON8OJcBftHZzEBszZhOcDZ7Oyl1MZklGLXlMYJTCqGrzsWhT3wwxpPy9AlJpdbSXCx1wOfUrf7/4WIEEnLKYKrDx1A6DblbW6MmDeZaA9kEvrZ04l1iTsuth4XS9UdHS90G1xXbGGliUV9KSbTq7Auk0KtwjqZamEar248HpL6RRoZnjaS/KLqO6d7WCH+N6wQA2PvoFbbS9be1gQZ+G90RADXElVpW1MXntFoqu7hKbp3vLzqgQBbquqcr2hhpIq2wAkuOhzDrgvsfJ+FWZMtYQNSFr6Mxvh9OrVX+cS2Ksd5oDjunezFv34zMwpenw1SNqQ+YD+dspOK9JTApHyM2PUJwSiG01TjYPcMb3wx1ViptIb9MgFkHnmP19WiIJCSGuZrh2hJfpZsZHzIhKQX48gzlITG/tz3GeTVsfHg7Mgv/RmSCwyLw51hXhRt70n33YR3N0a4B8+q6CEwqQJlADBNtPjpa6CKAjkFWxng6Oa8MU3Y/w6pz4agSyauj9DW4ODC7C74e4gxTHcqsPaWBnX5ZpvrYgEUAj+PzGJk4AHwz1Jl5W1uNw8QXS1nQm1rBqxJJMP9IIE4HVa/H6WlwYW+khZp42ujj6hJfjJd5jQ4/TQZBABcX98Cqoc7Q4LERklKIUVsf4+szL5BbqvxKX7/2VIFzNzobmnwOBrtQBfAFeg3xTfGprz360M/R4mPBjXoUEQSBLwc7YU5PKi3ym3PhLXrMo9wtcfxTHxhq8hCRXoxRWx99ECogBxMtnF/UHR0tKf+sSbue4m5084pUawMNnPqsG7raU2sCs/YH4MqL9BY6YhUqVLQExZVCzNz/HK8LKmBnqIH9sztDqxWi4t8WqfnlWHYyFAA1wKkv0bW18YvOxtjtT5BWWIE2Rpo4v7C7nD1ACN1w8ahnLe18yGucCXoNFgFsnOSBQDqUZeA7lHRqI9OUsqdDXBJyW04pFUoPS+ryk6rJgj5t4WiihTK6ZtDX4MJQk4fhncyhR6vb/aKzW+zY6qPmsUZnVAfZjPawwve0qv6fm7HMYHOUuyXGeFhCQgJLT4SiuLLuAamPvSG62BlAIJbAVkbZv/1eAuNzKou5rjpOzOsKBxMtZBRVYsf9BPSifcy+PBPWqqv2s3vYYYI35WO5+FhwsxV0bBaBzZM9mPfPhaSpGlMfMKqmlIq3yunAVEze/RR5ZQJ0MNfBlc97Kn3yDUkpwIhND/EgNgdqXBZWj3HF1ime0NV4N6ZK7wLphRX49FAQBCIJBrQ3xVeDnRv8/HKBiIllnePbRuGJY0xmCa6FZwIAY7KoDFKvpV7tjFFYIWTk2J3t6i7gZKkUirHxdhwGrX8A/8S8Wh831eHj6hJfxmRUtrBSBCt9DUZKLCtNLq6sXu8qqRTVMnlksQisn+gOGwMNpOZXYJeMD5K3rX69qxNafA7+Hu8Gvswke+SWx9hwOxYzu9vBb2UfjPawBElSvl99/7mHvY9eQdiAP0FN+tNTt3sxORCJJRhNF/KXX6RDIFL8cZoLi0Xgn/FuMNHmIy67FD9fjmj0PgRB4Pvh7TGtqw1IElhxKhTXwjMavZ+ieNka4MKiHnCkDejH7/DHzYjMFnv8t4WJthpOzOuG3u2MUSEUY96hIFwOa14TSUeNi4OfdMEwVzMIxSQ+Px6Cwy20VqlChYrmIRBJMP9QEKIyimGkxcehT3wUStB9X6gUirHwaDCKKoRws9bD9yPav/FjIEkS+x69wpyDz1FaJUI3e0OcX9gd9sbyQycmVa4OP6nEnFJ8d57yn1zavx3aGmshmDb8HtC+tuH128KatnxIyS9nvr+E7BZUSjXwHNWEx6FqfikF5UIQBAE1LhsTvClLgiPPWt/w3MlMW65Wyy6pYgJwAGCurz1TE/9wMQLnQ6hm0s+jXGBjQKniG/Ji+rw/pZY6HpAip8b/8kxYnYMlUx0q6ESqYg5JKQCXTaCwXIilxxv2sWoOBEHg1487wstWHyWVIsw9FIiiisa3ERpiuKs5nGQG3OdC0rBS1Zj6IFE1pVS8FcQSEquvReHLMy8gFJMY2tEMZxZ0g62hpsKPQZIkDvsnYcJOf8bU8sKiHpjcRWVmLos0aS+3lEra2zDJvVHV08Y7cUgrrIClnjqTMqcIUun8MFczOJkpp5ICgAex1OqPr6MRntNyZkcTLRg2UkD7RWdj8IYHWH87FlUiCbjs2t/fnhmdYaFXvZMvlaArqpQCgHm9qBSfM0GvkVFUAZIkseaa/J7+zvu1zbf1NHjYN8u71u1eto0rwHo4VPtIiCUktvolYNimh0jOK8f6ie4481k3dLTUQUmlCL9eicTg9Q9wPTxDIV8oDxt96GlwUVQhRHBKIbq3NYSxNh+F5cIWkV4rg5EWHxsmuoMggBPPUxmj/IYgCAK/jOyI8XTC3NITIbgX03JTUWsDDZxd2B2+jlRK4PwjQdj1IOGNeW61Flp8DvbM9MZoD0uIaGPguiauysDnsLF5sidmdLMFSQL/uxiBfS3gK6FChYqmQ5Ikvjn3Av6JedDic3BgdmfYKOCj+D7x8+VIhKcVQV+Di21TPetdi2sthGIJvr/wEr9ciYSEpIy2D37SBXoaPLnPE4gkiKIVNG5W8l6blUIxFh0LQblAjG72hljczwF+0dkgScDVUhfmuup4V2AGegUVaEs3pRJbSClVKRQzz5G7AkopALVsKKSDwSm05cL92Byk5Cle5zUFLpsF1xr+qdE1rAiWD3BkbDBWnn6BW5FZ0FbjMjX55bB0nAuuW/Hd08EIbtZ6qBRKkFNSBV11auhOksDCo8EIohV1shhp8XH8065MfSgUU3VLQFJ+rRTqloTPYWPHNC+Y66ohMacMS0+ENKuBxGIRWD5Q/jrkfEgavjgVqmpMfWComlIq3jilVSLMOxSInbRiZEk/B2yd4gkNnuJS8nIBlVrxv4sREIpJDHExw6XFPd6ah8C7ikRCYvnJUERmFMNIi0raa0yyH51ZjL0PqYvJX0a5KPy6xGaV4NpLSqnSFJVUdkklU4z0dDDCcwVW91Lzy/HpoUDMPvAcyXnlMNDkwdpAHSL6RCUrda4ZKSstrJQxfPa2M4BPGwMIxSR2PUjE5RcZCEjKhxqXhe+GUdPZrffi64zfdTDRRvcaKX9d2jSuACuhJd3bpnpixzQvGGvzkZhThgk7/fH9hXA4mmrj4qKeWD3GFQaaPCTmlmHB0WB8vO0J/BNqK8ZkYbMI9HWiJrB3orLAYbMwys0CAJhJ3puku4MRFtMeEd+eC1fotWGxCKwZ24lJzvvsSFCD/gzKoqPGxf5ZnTHVh1Jk/XEtGv+7+PK9L4a4bBbWjnfD5C7WkJDAytNhzY7QZrMI/DzShfH7+uVKJPY8bJmERBUqVCjPlrvxOBecBjaLwNapnkoHj7zrnA5MxfGAFBD0upul3ptt3hRVCDF7/3McfUYdw3fD2mP1GNc6vbpis0ogEEmgo8Zh6g8pf1yLQhSdiCxtUtyhFTCyZs/vAtYG1HOcU1IFCz3K9zUlr1wplXZ9RKQXQSQhYaTFV+q17GpfXSdKh6N2RprwdTQCSQJHA1pfLVXTuiFKZoUPoIZoP4zogDGelhBLSCw6Ggy/6Gx42uhj+QCpiuplnXUPQRBYQntLnQ5MRX8Z5VylUIJPDjxHXFZtP059TR6Ozu1aK+lx8904PEloPf9HY20+ds/wBp/Dwr2YHGy4HdusxxvsYsYEA7Qx0gSHDsdZcar1VF8q3jyqppSKN0p2SSUm7PDHnehs8DksbJ7sgRWDnJRKf3mVW4aPtz7GhdB0sFkEvhvWHtuneb4zJpDvEutuxeJGRJZCSXsA1cT6/vxLiCQkBruYor8SxdCmO3EgSSqqtynNQalBckdLHRhq8Rkvhbp8wcqqRFh3MwYD19/HrcgscFgEurQxgDqXjdT8CpAkMNHbGleX+MKTPhkXVchHFksnfHHZyk34pBG9+x8nYeWpMADAwj4OmOvbBr3aGUMgkuD7C+F1qmlKKuUbY68LGt/tL6SN2HXVuRjS0Qy3l/fGRKks/WkK+v1zD2eDXmOitzXuf9kHS/o5QJ3LRlhqISbvfopZ+wNqFUey9HGi1hkfxFHP/2hPaoXvdlR2s2XXTWFpf0d0ttNHaZUInx8PUWiNkM0isH6CO3q3M0alUILZB54jIr3lPKA4bBZ++7gj/jeiAwiCet4/OxLUqPfVuw6LReCP0a7M9Pb7Cy+b3ZiS+n1Jm4u/XY1SNaZUqHgLXAxNw9pb1MXgzyNdmNX1D4XI9GJ8f4Fad1s+oB3jm/OmSMotw5htj/EoPhcaPDZ2TffGp73s61XqS30JXa105T7n35cZOORP/d1dO8ENpjpqEIgkeESfk2XNrd8FdNW50FajhpVCMQl1LhsiCamU6rw+pJ5b7tZ6Sm08yIaR7HqQyNQ807tShuenA1+jStS65+uayq6ojNpNIhaLwF9jO2FoRzMIxBLMPxyEO1FZWNDHAV3aUL6MS06E1tng6+dsgg7mOigTiFEkE9DjYKKFogohZuwLQHph7ZpSV52Lw3N80EWmliZJYPnJULkVw5amo6Uus1q5+W48bjTD/oAgCCwfQKUuZxZV4tePO4LDInAxNB1fnA5TNaY+EFRNKRVvjOS8Mozb7s+odk7N74aPaFWGojyKy8XHWx8jNqsUxtqUNLWhIuC/zIWQ6qS91WNcFVoVOxWYisDkAmjy2PhppIvCXysuqwRXw5uukgKAh8zqHtXYiUynigrZCY9YQuJEQAp6/30Pm+7Go1IogZu1Hro7UOt+aYUVMNTkYcc0T/w5rhO0+BxGQl+zweJMrxfGZpYotY7V08GIkd4LxBJY6atjHv0z+OsoF/A5LDyOz8OJGlHEcVklCK9hlr3ydFijaWU5dNFgrE2tMOpqcPHnuE44NtcHbY01kVcmwFdnX2D09idIzCnDikFOuP9VH0zvagsOi8C9mBwM2/QQK06G1ilhl64HRmUUI6ekCh3MddDOVAsCkQTXW9CjSVGkccl6Gly8eF2Ev/5VLMaYx2FhxzQvdLajvAxm7gto0ZhqaTLitimeTDLflD1PkV8maPzO7zAEQeDHjzpgPr2a+r+LL3EuuHkqOYIg8MWgdsxk97erUTgV+GaiuVWoUAEEJeczwSZze7bBNPri/EOhqEKIBUeDUCWSoK+TMdMEf1M8TczDx9seIyGnDBa6ajjzWfdG/VBfSJtSlnrMbSl55XIBNH1o5fLzpHyUCcQw0uIzCpF3BYIgGF+p1wXlsDembDdaIoGPMTlXwE9KSqVQjGS6IeZlqw+RhMQ358IhlpDo52wCc1015JcJcD28dT0hazalojPrHgZy2CxsmuyBYa5UY+qzI1Rjav1Ed+iocRCWWlinsoggCCaJLyApH+a6lEptnJcV2hprIqOoEjP3BaCwvHZNosXn4MAnndHDoVqtn1VchZWnw1rVjmCMpxUz9PriVBjilRwCy9K/vQlcLHRQIRQjo6gSW6Z4Mo2pFadUjakPAVVTSsUb4WVaEcZuf4KU/HLYGGjg7ILutaSuDUGSJA48foWZ+wNQVCGEu7Uern7eU6lUtv8SYamF+OosVeh81rstxjaStAcAeaVVWH2dagAsH9hOKQ+DTXfjQZLAYBdTtDdXvoAiSZJR6vg6GiE6sxgCsQR6GlxG5n4/NgfDNj7EN+fCkVtaBTtDDUzvaov8sio8iM0BSQJjPCxxe0VvDOlozjy2dPe+sFy+KWVnpAkum0CZQIy0OqZL9UEQBEa5Vyf7zOtlDzUu5WFha6jJmFD+diVSzkT9dB2ePUIxiXmHAhH+um5VT5VIzBy3cQ1fre4ORri+tBe+G9YeWnyqkPl4G5XEx6bNJm+v6I0RncxBkpQ5ZL+19/D1mRdyzSkjLT7zmj1JyAVBEBjtQf28nH/DKXxSLPTU8fc4NwDAnkevFE6IU+exsWdmZ3Qw10FuqQDT99Y9OWwOQ13NcXSuD3TVuQhJKaT+rrWyX0VrQxAEvhnqjJm0H9TK02HNbkgSBIEVg5yYZteqc+GtGketQoUKiuS8MibYZGAHU6wa9uaNv1sTiYTEF6dCkZxXDit9dayf6K6U2r65nApMxfS9z1BYLoSblS4uLOqBDgo0jqTn+U70UKtKJMaiY8EoqRTBy1YfKwdVG1hLE+P6OBm/0e9NUWwMapudt8QQSFYppSgJOaUgSSrNeNtUT2jT9dAh/yRw2CxMpr2lDjdTBdwYVvrqMNSs9hGLyyqtd6WRSw/fpLYDC48GI/x1IdaM7QQA2HYvAU/rCOwZ7GIGRxMtlFSKUEA3nwKTCnBojg/MdNQQl12KOQcD61Rxa/A42DuzM/o6VSsK/WJy5IJ7WoPvhrdHFzsDlFaJMP9wIGNJoSwEQWBhH6opd/BJEno6GmHrVKoxdSksHctVjan3HlVTSkWr45+Qh0m7niK3VAAXCx2cXdBdKUNzgUiCb8+H46fLkRBLSIzxsMSJeV1hoqPWikf9/pJTUoX5h6VJeyb4SiapoyH+uBaNogohOpjrMJMNRYjPLmUi4JuqkorNKkVuaRXUuCx42eojjJ6WuVnpITarFDP3BWDmvgDEZJVAV52Lpf0d4Wmjj8NPk5GaXwELXTXsn90Z6ya6Q19T3lyUaUrVUEpx2SxmhS8ms7bMuj5IkoSfjJl2zfvO7tEGne30USYQ46szLyCRkBCKJbUMLG+v6IXubQ1RJhBj1v6AOn2o8koF9LESzPchC4/Dwqe97HH3i94Y4ymfxLfnYSLM9dSwZYonLi/uiV7tjCGSkDgZmFqrOeXrSKmlpOsCo9wtQBDAs1f5eF3wdhouAzuYyk3YZOX5DaGrzsWhOV1gb6SJtMIKTNv7rMUl6p3tDHB2QTdY6qnjVW4Zxmx/jBevC1v0a7xpKMWUC2Mav+RESKMqPkX4ZqgzxnlZQSwhsfhYcIv6falQoUKeonIhZh94jvwyAVwtdbFRgWCT940dDxJwOyobPA4L26d61TIUby0kEhJrrkfjKzqgZ3gnc5yc302hWrRKJGaUM1JD7D+uRjEG7Zsne4DLrr4kk9YY79rqnhSpr1RqfgXsjVpGKZVTUoW0wgoQRHXjThGi6TW5dibaMNVRw9dDqXTpv2/E4HVBOSZ1tgaHRSAouaBBK4PmQhCEXDNNIJY06IvJZbOwcaI7RrpZQCShGlOF5UJM8LZi1utqqp5YLIKxkKgUUg2Yx/G5MNLi4eAnXaCjxkFQcgEWHQuusyGmxmVjx3QvDJJR9f12NapV6xcum4UtUz1gqsNHQk4ZVp4Og6SJnpxDOprB3kgTRRVCHHuWjMEuZtg21RNcNmUUr2pMvd+omlIqWpXH8bmYfSAApVUidG9riBPzujJrSIpQUCbAtL3PcDwgFQQBrBrqjLUT3Bhligp5BCIJFhwJQmZxJdoaayo8QfRPyMPZ4NcgCOD30R3BYSv+p2H7vQSQJNVEcLFomonqs1fURMjb1gB8DhuhqdRE8X5sDoZsfID7sTngsgl80qMNVgxsh2MBKThHq3hmdLPFzRW9GcPumhhpUQVrbkntxkQ7OmY2pg6DyPo4H5KGh3HVF+snnqfKTQjZLAL/jHeDOpcN/8Q8HH6ajPsxOciVaYzYGmrAwUQbO6d7oaOlDvLKBJi+9xmyiuUbLzn0MRtp8Rt8HU101LBugjvOLugGFwsdFFeK8NvVKAxYdx+XwtLR0VIHhz7pgrMLutfZnJJOPR/H54IkSVjoqaNrG0rmfeXFm1/hk7JqmDNcLHRQUC7EF6dDFS5kjLT4ODzXBxZ0+svM/QEobuJ0rj4cTLRxfmF3RpU1addTuWbl+0gt0/jDQYhV4nejLgiCwJoxrujvbIIqEeWh8bYanSpUfMiIxBIsPh6MxJwymOuqYc9Mb6UCZN4H/BPy8M+NGADALyNd4KpE86I5lAtE+OxIEHbcTwBADeA2T/JQuBaNzSyFUExCT4MLK311XAvPwEHaR2rdBHe5ZOCUvHIk5JSBzSLQ09Govod8q8gqpdqaUMO9hGYqpaSrew7GWkp5xEobTe3NqXpuShcbdLbTR7lAjFXnwmGszcdgFzMAra+WqrkBEpvV8HPCYbOwfqI7JnpTgSPfng+HjhoXbYyodbxV52r7kw53NYedTIhPhVCMkJRCOJlpY++szuBzWLgbnV3nfQEqHW/rVE8M71S9UTByy+MmK5gUwURbDduneYHLJnAjIgvb6d8jZWGzCHzWmwpS2fPwFSqFYgxyMcO2qV5MY+rLMy/e+yCa/yqqppSKVuNxfC4+OfAclUIJ+jmbYP/szkqdaFLzyzF2xxMEvMqHFp+DvTO9Mb93W5V/VAP8fDkCgckF0OZzsGuGt0LPd5VIjO8uhAMApvrYwMOm8UQ4Kan55bgQSjWHFjXD00EqU+5qb4Cs4kqclfG0IUlgmCt10onMKMKPlyKQU1IFeyNNnJrfDb+M6thgoqApPcXMLK6ttHGS8ZVShLzSKvx6JRIA8OVgJ/RzNoFYQmLtTfn9f1tDTawaRk3r1lyPxpoavkgDaQN5bTUu9s/qAjtDDbwuqMD0GqoeaVNK0Uaul60BLi3uiT/HusJEm4/U/AosOR6Cj7c+xrPEPHjZ6tfZnJKaxaYXVSKRVmyNcKMKlqtvsSnF57CxebIH1LlsPI7PU0pmbqmnjsNzfWCoycPLtGLMPRjIREW3FCY6ajg5vyt8HY1QLhBj7sFAnKljTfN9gs0isG6CG7rYGaCkSoTZ+58ju0QxlVp9cNgsbJ7iARcLqgH76aEglAtEjd9RhQoVCvPXjRg8jMuFOpeNvTM7M+e+D4WckiosORECCQmM9bTCxM7Wb+TrphdWYPwOf9yMpEJjNkx0x4qB7ZRaq3uRVgiAUkml5Jfj6zPV9gp9a6ihpMMNb1t96LyjAT5WdFMqNb+8WilVh9pbGUJSqHAbZVb3ACCart+kNgQsFoE/x3YCn8PCw7hcnHyeyniqnQ9Oa9UAl5rHrshQh80isGasK7NpsOfRK6jTzc7rLzNr+TFy2CwsrFFvS1dDO9sZYOsUT7BZBM4EvcZfdAO3Jlw2C5smeWCATIqf6083W9VfytNGHz+P7AgA+OdmDO7H5jTpcT72sIS5rhqyS6qYa4WBHUwZj6nzIWlYde5Fk9VYKt4eqqaUilZB2pCqElENqe3TPMHnKK5uCn9dhNHbKONmC101nF3QHf2c361Y3HeNY89SmFjijZPdmdW0xtj9IBGJOWUw0uLjy8HOSn3N3Q8TIZaQ6OlgpHQhIYUkSTxLpFZ6/GJy4PPHHeZjLhY6ODGvK6z1NbDgSBCeJuZDjcvCl4OdcH2Zr0KeYlJvrLrWv6Rm5xHpikm6f7sahYJyIZzNtDGvlz2+GuIEggCuhmfUkj9P87FF97aGqBCKa5k7DqKndgDVcDo8xwemOnzEZpVi2t5qo8osuhlQ00+qIdgsAhM72+Del33wxcB20OSxEfa6CBN3PcXcg88Rn11SqzklS/+19xGRXoQhLmZgswiEpxU1KEFvbeyNtfDDRx0AAH/diFYqVa+tsRYOftIF2nwOAl7lY+HRuiXtzUFbjYt9szozMc8rT4e1ukdDa8PnsLFzuhezAvlpCzT0NHhUo9xIi4eojOJWN1hVoeK/xMXQNOx6QKVc/jPeTSGPo/cJsYTEspMhyCmpQjtTLfz6scsbGVAGJedj5JbHiEgvhqEmD8fn+eBjD8vG71gDafJeO1NtLDwajJIqEbxt9bFyULtan3s3+t1e3QMAW7oplZxfhjZ0Uyq/TICCZgR/BNGJy952ig9GSZKUUUpV/8zbG2vhC/q5/f1qFGwNNeBkqo0KobhVB0duVnpy78c1opSSQhAEVgxsh99HdwSLACJl1gx/uhRZS4U22sMSljLqOtnPH9DBFKtHU6l32+8l1FuPsFkEdk33hhO9MQAAo7c9Ueh4m8oUHxtM6mwNkgSWHA9pkh8nj8PCp76UV+XO+4nMut5gFzNsnOQBFgGcCnyN7y++VNUY7xmqppSKFicwKR9zDja9IeUXk42Ju/yRW1oFZzNtnFvYg1G0qKiboOR8/HiJUrusHOSkcAPvdUE5k9D3vxHt6/Qtqo/skkomYW5h37ZKHnE1oamFyKMLGWlRImVhHwcsOxGKnQ8SIZKQGNjBFLeW98aivg4K/0yZ6VINnbqUUp3oAiI+p7RR6fL92BycD0kDiwDWjO0ELpsFZzMdjKYL1N+uRsmdAFksAn+Pd6v1OAaaPHjZyhdd1gYaOPZpVxhp8RGVUYxpe5+hqEKItALKpNtKX3HTeSkaPA4+7++Ie1/2xbSuNmCzCNyOysbgDQ+x6twLpBdWyDWnZBm+6RFWng4Dl00V/W9zhQ8AJnW2xsAOphCKSSw9EapUg6Sjpa6cpP2bs3VL2psDl83CP+PcMLdnGwDAr1cisfZmzHtdEOlr8rB/dmfoaXAR9roIP1+ObPZjWuqpYwct4b8Wnokjz1Ja4EhVqPhv8zKtCF/RypuFfdrKreV8KGy+G4fH8XnQ4LGxbarnG1lLPBWYism7njG16IVFPRRKMa6LF7SS5VJYOiLSi2GgycPmKR61rBIqBGL408rxmgqqdwlrAw2wWQQqhRKUVIpgQSfBJeY2bYVPKJYgjB7s1ayPGiKntAp5ZQKwiGo7BilzetrDw0YPJVUifHs+HNO7UWqpw/5Jraai0dXgMsoxQDlrCACY6mOLPTO9oa1W/fNdIRRj6YkQCETVAzUum4UFfarrbmmtKGVCZ2smdOfXK5G4UE9oDYtF4PpSX+b90NRCfE9vTrQWP49ygZu1HooqhJh/JKhOU/bGmNTFGgaaPKTkl+OmTIDK8E7mWD/RHQRBDep/vhz5Xtdh/zVUTSkVLUpsVgmzstfHyVjphtSZoNeYezAQ5QIxejoY4fRn3WCm+2FJ0FuazKJKfHYkGEIxiWGuZljYR/EG0e9Xo1AplMCnjQFGulko9XX3PUqCQCSBh40eutkbNn6HGpQLRNj1IEFuMtPeXEdO/bToWDAyiythbaCOfbO8sXuGN6wNNOp6uHqRrjCUVIpQViW/MmSszYelnjpIEvUm4AFAcaUQ356jTtSzureRU4V9McgJalwWAl7l12reGGrWNmDt52xSp/FsW2MtHP+0et1sxr4AZgJopa/c9yyLsTYfv33sipvLe2FQB1OIJSSOB6Sizz/38PNlahXSy1Yflxb3kLufX0wOY6T5942322AhCEqOb6zNR3x2KVZfi1Lq/l3aGGD7NErSfjb4Nf6uR9LeHFgsAt8Nb88UgpvvxuPHSxHvtYTc1lATmyZ5gCCA4wEpOF1jjaApeNsZ4OshlCLz1yuRrWo8q0LFh05uaRXmHQpElUiCvk7G+GKQYsEm7xOP4nKx8U4cAMrz0sGkdYeUIrEEv16JxFdnXkAglmCIixnOLuiudO0hpVIoZgJRpCv56ya41Zlw7J+YC4FIAks9dTiaKKZ2fxtw2SxmWPYqt4xJ4Etootl5ZHoxKoVU4rK9keLfdxRtcm5npAl1nvy1BptF4O9xncDjsHAvJgckSUJbjYOkvHLcj2va6pgiyPpKJeWWyTWTFKGfsykuLe6JdqbVz8PLtGL8flV+MDROJlU7oI4AkYV92jJhMStPh+FBPetyLBaBhD+GMe8feZqCTfTvW2vA57CxY5ono5r+5twLpetLDR4HU32oVMWaSrBR7pb4e5wbCAI48CQJv9cYGKt4d1E1pVS0GOmFFZi5LwDFlSJ42uhh+1QvpRpSh/yTsPJ0GJOwt2+Wch5U/0UqhWLMPxKEnJIqOJlq03+IFZO0P4zLwfWXmWCzCPw8SjkpfFG5EEdow8hFfRyUum+5QISd9xPg+6cf/rhW7bXUzlQLx+b6IOBV9cmVx2FhaX9H3Freu8nrm9pqXMZzqi61lLuNHgAgtIH0kZ8vRSKtsAI2BhqMJFyKpZ46E1P7x7UoOa+cy2HptR7Lg/56deFoqo0jc30odUpqIfxiqCKiKUqpmrQ11sKuGd4481k3+LQxgEAkwf7HSej1lx/++jca1voa0NOgft/WTXDD5C7yfh0dfriBy2Hpb81A0kCTh7W08uygfzITma0o/ZxNsXoMJWnfdi8BBx63/IodQRBY1NcBv37cEQQBHPJPxvJToS2+Mvgm6dXOGMsHUD/z3194iUgFV10bYk7PNujrZAyBSIIlx0NQJWpZry8VKv4LCMUSLDoajPSiSrQx0sSGSR4fXNJednEllp0MAUkCk7tYY7SHVeN3agbS9ELphe7S/o7YNtUTmg34VjZGTGYJRDLnzUV926JPPcEs0tW9vs7G77x/qjRFOzmvDA50A62mVYGiSFXynjb6Snl1RdexuieLg4k2lg2gvJr+vhGD3rRdwaEnSU06TkVwkzHfF0nIOpOVG6ONkSbOL+yB8TKNp4P+yfjqTHVynRqXDTMZ37iadQZBEPhhRAd8RKf7fXYkiPHtqgmbRSDgu/7M++tuxbZqY8pcVx1baO+ri6HpzPWEMkzvagsum0pVlJrkSxnnZYU/6BXGPY9e4a+3PFhVoRiqppSKFqGoQoiZ+wKQUVQJBxMt7J3ZudbUoiF23k/ADxcjAACze9hh7QQ38DiqH8+GIEkS3194ibDUQuiqc7FrhpfChZNAJMFPl6jne3pXWzibKec/ccg/CaVVIjibaaN/e8Uk5rLNqNXXo5FXJmBihQGqIdN37T3mfT6HhZvLemH5wHbNTls01aFX+OrwlXKnV/hCUwrrvO+/LzOZZMJ1E9zqfI7n9bKHlb46Mooqsf0elSpCkiQO+icBAPrLyPAvhKQ1qJ5pb66DI3N8oCMj327J5qy3nQFOzOuKw3O6wM1KFxVCMbbdS0Cvv/1QWE6tMKYVVGD1mE549m11kVIhFOPz4yHov/YejjxNbnHTcEXo1c4Ys3vYAQC+PBMml2ioCBO8qyXtP1+JxJUXtZuGLcH0rrbYOMkDHLrgmn+4aRL1d4XFfR3Q18kYVSIJVpwKbXYTiSCohEojLR7iskuxza9pSTwqVPyXWX0tGs/oIJjdM7yUWr9/HxCJJfj8eAhySwVob66DHz9yadWvl5BTitHbHjNm8dumemK5kobmdSFrS9CljQHT5K8JSZLwi6YGUfWlCb9LtKET4F7JNKWamtYaRDdLlFndA2SS9xqw+Jjna49OVroorhQxirV7sTlIaqYxe33UTIRs6nOiyefg7/Fu2DfLm7ntVOBruP50A79dicRWv3g50/ZLobXrGRaLwNrxbkwYy+wDlK9oXZhoq+HQJ12Y99fdisU/rdjM6WpviFVDKdX0L1ciazWWGsNERw0f0Rse++rwzZrcxQa/jKL+Zmy/l4ANt1uvyaaiZVBd9atoNmIJiWUnQhCXXQozHeqPmn4da0t1QZIk1t2KxerrlGJmcV8H/DCiwzs/IXoXOOSfjDNBr8EigC1TPJiplSIcfJKEhJwyGGrysHxg3QVSfZQLRNhHq0wW9m1cJVVWJcKO+wnoKdOMsjXUwN/jOmH3jOqT7dUXGUxTBAAefd0PdkaKf08NIY1bTiusqPUxqVIqrA6lVE5JFb49T63tze/VFt52dftJqHHZ+H44Zca980EiUvLK4Z+Qh5dpxVDjsqCnUf378DypALseJjZ4vB0tdbF/dmfm/a/OhMml8jUXgiDg62iMC4t6YNd0LzibaaOkslrhtfZWLCqFYpjqqOGvcZ2Y2/U0uEjKK8f3F16i+5q7WH8rtkWPSxG+HuIMJ1Nt5JYK8PUZ5WXfC/u0xYxutiBJYMXJMDxJyG2V4xzpZoHdM7yhxqW8rGbuD0Bp1fuZOCf1RzPU5CE6s6RFijtDLT5+GkkVjNvuxSOuiYW7ChX/Rf59mcGch9dOcGv1lba3wfrbsXj2Kh+aPDa2TvFo9nCqIe7FZOPjrY+RmFsGSz11nFnQDcNcW8ab65cr1WtXmyfX9pGSEp9dirTCCvA4LHRva9QiX7s1kdZnybnljJ+TosbeNQmWUUopg3R9rz6lFECl1f09zg1cNoE4WslFkmiSOkcROpjrQraP2dxzWz9nUwR9P4B5v0wgxp5Hr/D3jRhUyAwHt/rF16lk53FY2DHNC27WeigsF2LangC8LqjbYLxXO2M5r6otfvGtuv42p2cbDHah/EIXHQ1W2ij/kx6Uj+e18AxkFNWu72d0s8P3w9sDADbeicOWu6rG1LuMqimlotmsuxUDv5gc8Dks7J7hzTQAGoMkSay+Hs1IRL8c7ISVg51UDSkFeJqYxxQ6q4a2h6+jcSP3qCa7uBIbbscCAL4e6qz0dPV4QCoKyoWwM9TA8AaKtrIqEbbfS4DvX35Ycz0a+XQz6p/xbrizojc8bfUxZMND5vP1NbgY40mZhhtr82GsrXjiXGPY0F4QdSV9dLTQBZtFIKu4Su6kRpIkVp17gfwyAZzNtLF8oGODX2Owiyl6OhhBIJLgx0svsZNOQhrvZc00PqSKqb9vxOB5HR4Assg2stKLKjFp11Nk17F+2BwIgsAgFzNcW+KLjZPc5T7WY81dHHj8Cn3aGTOG54c+6YIfP+oAK3115JcJsPFOHLqvuYtvz4cjMadpxaiyqHHZ2DjZHTwOC3eis5U2yyYIAj9+5IJhrmYQiCWYdyhIqUQ/ZejrbILDc3yY9L8Ze5+huBFD/XcVIy0+fqfl8DvvJ9QKJWgKw13N0d/ZBEIxiR8uRqjk9SpUKEByXhm+pI3N5/Wyx2CZNNcPhXsx2dhKKyjXjO3EeBa1NCRJYveDRHxy4DlKKqlEvIuLe8DFQrfxOyvAxdBqg+kxnpaMx2VdSFf3utkbKrVp8LawowehSXlljP9RWmGF0sOX9MIKZBRVgs0i4Gat+PNeJRIzqXTODTSlAMDJTBuf95Ov4U4FpsrZLbQU6jw2HGWaxLFNbNTJYqjFx9UlPZn3WQQwyt0C3w5zxrNv+0NPg4vE3DJcC687lEaTz8H+WZ3hYKKFzOJKzNgbUO9AccXAdnI2E3sevcIPF1vHH5MgqIGXraEG0gorsOJUqFJfp6OlLnzaGEAkIXHIv+4m41xfe3xDK7L+uRmLnfdVyux3FVVTSkWzuBaewRQOf43rVEu22hBrb8YyEcY/fdQBi/o6tMoxfmhkFVdi8bFgiCUkRrlbYK5vG6Xuv/p6NMoEYrhb62Gcp3L+DFUiMXbTr9lnvdvW6V9RWiXCtnvx6PnnXfz5L9WMsjPUwFq6GTWwvSn+uBaNwesfyN3v3sq+zJSsQyMFhrLYGkrji2s3pdR5bCYSN0Rmhe904GvcjsoGl01g/UT3Rv3RCILATyNdwGUT8IvJwf3YHLAIyvQyo6gS2nwOtk71xCh3C4glJBYeDW6wyZRKHyuXTcBMRw1x2aWYuOsp0utQezUXFovAKHdLxP0+lLktr0yAny5HYsTmRxCKqSLBLzoHs3u0wb2VfbBligfcrHRRJZLg2LMU9F93H58eCsTzpPxWby44m+kwZtm/X60dl9wYbBaBdRPc4dPGAKVVIsza/5x5vluaznYGOPoptY4ZnFKI6XsDUFT+fjamhnQ0wxgPS0hIyl+quf5iBEH52fE4LPgn5sEvRjmfMBUq/mtUCsVYdCwYJZUieNnqM+vIHxIZRRVYfjIUALUK/ZGSISyKUikUY+XpF/j9WhQkJDDR25pJwW0JEnJKsepcdZLZ/F4Nh9BI//71dVJ8yPg2kSqlkvLKoKPGZQaJyvpKBdIDDhcLHaVSFeOzSyGSkNBR4zDpfw2xoE9budqyuFKECyGts8Lf0bL6Wii2nnU5ZXGx0MX/RlCKfC6bhUV9HTCvV1uY6qgxiqGtfvH1NnUMNHk49EkXWOiqITG3DLP2P6+zgchls7Bpkge0ZawqDj9Nxrfnw1vFU1RHjYttUz3B47DgF5OD7Uo2jebQqcfHnqXUayvxWe+2+ILeCll9PbrOdT8Vbx9VU0pFk0nNL8fXMtO6Ue6WCt93q188tvjFAwB+GeWCWT2Ua6z8V5Eam+aWUuqdNWM6KaUsC3iVj/MhaSAI6nlX1ivhfHAaMosrYaajhtGe8q93UYUQm+/EwffPu/jr3xgUlAvRxkgT6ya44faK3vjIzQKHnyajzz9+2Pf4lZzx56FPukBXg4tI2h+gg0XLNqVsDKoNOetC6mMgVS8l55Xh58uU59aKgU4NSsNlcTDRwoI+1c3Vno7GCKP35Ae5mEGNy8bqMa5oZ6qFnJIqLD4WUq8JttQcs5+zCU7N7wYrfXW8yi3DhJ3+rdZA4bJZGEJP3a301WGhq4bskupp2vrbsagQiMFhszCikwUuLOqBk/O6YkB7E5AkcCsyC+N3+GP0tie4Fp7Rqqbos7vboaeDESqFEiYgQRnUuGzsmuENZzNt5JRUYea+AKWl44rSyUoPxz7tCn3awH7q3qet9rVam+9HdICuOhdRGcU49qz56w9W+hqYTScErb4W/daM9FWoeB/47WokXqYVQ1+Di82TPcCtZxXsfUUoluDzYyEoKBeio6UOvh/RvlW+TnZxJSbvfoqzwa/BZhH46aMOWDPWtcW8TCuFYiw6Goxy2kuQzSJgb1y/HUFxpRCBSVRzpqmhLm8aK311sFkEKoUSZJdUMWopZT2Umrq6Fy2zuqdIHcxls/D3+E7gyNS9h/yTWmWI1klmQJ+cV95iYR6zu9uhVzvK33HJ8RCmCTOzux20+BxEZ5Ywiru6sNBTx6E5PjDQ5CE8rQjzDgXW2cixNtDAH3QwjJQTz1Ox8nQYRK0Q3OJioYtfaf+ntTdjlLJV6N/eFJZ66iiqENarFAOAz/s7Ykk/qj7/5UokTgQop7JX0fp8WGczFW8MkViC5SdDUVJFTeu+UmJat5fehQaAb4c5Y0Y3u1Y6yg+PNdejEZhcAG0+B9uneSkl8RaJJfjh4ksAwKTONuhEG3wrc3/pBOPTXvaMciinpAp//huNHmvuYu2tWBSUC2FvpIn1E91wa3kvjPawxI2ILAxcfx8/X45EQbkQjiZa+IdOUiOI6kQ6qWllqyml6ljfAyjzUQB4lpgPgYgyVy0TiNHZTh/zetkr9bXGeFQ36/LLqpiT5Eh3atqrweNgxzQvaPE5CEjKx5/Xo+t8nEQ6WtneWAs2hho4Nb8b7Aw18LqgAuN3+CutDlIUH3vquWhrrIV7X/bFH6NdoS1jut7+h3+x52EiKgRiEAQBH3tD7JnZGbdX9MbkLtbgcVgITS3EwqPB6POPHw4+SWoViTyLReCvcZ2gzecgJKWQUV0qg646Fwc/6QJLPXUk5pZh3uG6C7SWoKOlLo7P6wpDTR5ephVj8u6nb9yPqyUw0ORhJZ1A+feNGOS3QHNtYV8H6KpzEZddipsRmc1+PBUqPkQuh6XjyFPqQmr9RHeFrRLeJ/65EcPUOFuneCqV4KwoL14XYuSWxwhJoUJiDs7uglk92rSodcTPlyMQnVndnHEy1W6wgfg4LhciCQl7I03Y0PXKuw6XzWKSgV/lljEra8p6KElXwZtscq5EvehioYuFMlsZ0ZklconPLYWsUkosIZl6rrmwWAT+Gd+J8Xf881+qftRV52JaV1sAlA9UQ402BxMtHJjdGZo8Np4k5GHZidA6h0EfuVlggrf8NsX5kDQsPdE6icITvK0xzssKEhJYcjwEWQraVbBZBJMWfawRO4flA9sxNf2q8+G4VEdCtoq3h6oppaJJbL+XgMDkAmjxOdgw0b1e48aanHqeil9pL6RlAxwxrxE5s4pqrr7IYGKK/5nghjZKmoAfD0hBdGYJdNW5TZL8X3uZieS8cuhrcDG5izXSCivw48WX6PnnXWy/l4DSKhGcTLWxcZI7bi7vhdEeVghNLcSY7U+w6FgwkvPKYaTFxx+jXXF9qS806Yaak6k2tNW4EEtIZvLV0kopaVOqqEKIwvLaF9HSRkxUZjG+vxCOF6+LoKvOxcYmRGzLmme+TCtGXpkABpo8dG9ryNxub1zdlNvz6FWdKXCJuVTTyZ5+nS301HFqfjc40p4A43f440Ud5uzNRdqgC0zKB4sApvjYIOj7gXKf89vVKPj+dRe7HiQwDScHEy2sHtMJj7/uhyX9HKCnwUVqfgV+vBSBbqvvYs316BZfPbTQU8cPH1Fy9vW3YplkHWUw1VHD/tmdoa3GwfOkAnx15kWreCcA1NrhiXnUekh0ZgnlE1bSsj5hb4IpPrZob66D4kpRk5qBNdFV52JmN6qg3vEgUeUtpUJFDVLzy5lVsEV926LPe5DOpix3orIYL8a/xnVSKrxFUc4Evca4Hf7ILKaSoi8s6oGeji1rKn4hJA3HA1JBEEBnO6rR0ljj5EEclbrXq937sbonReorlZxXxpidK+OhVC4QMQp5pZtSmdKmlHIm/4v7Osi9HtKU5Jakg7mOnNl5UxP46sJEW42pH/c/TmLWPuf0bAM+PRT0T8xr8DE6Welh9wxv8Ngs/BuRie/Oh9d53v1ppAtTgwKUncTV8AwsPBrcYuovKQRB4NdRHeFsRgXZfH4sRGFV1gRva3BYBAKTCxqsAwmCwKqhzpjqY0OH3YTidmRWS30LKpqJqimlQmnis0uwiU4w+GWUC6wNFJvq3IvJxiomycweS/s3bBytopr47FJ8dSYMADC/t/LGpkXlQqy7RZmbfzGoHQwUTEeUQpIkdtyjVFJ9nEzw48UI9P7LDwf9k1ElksDdWg97Znjj+lJfjHK3REp+OeYfDsS4Hf4ISSmEOpeNpf0dcf/LPpjiYwMOm8X4CHjTRVtSXhkqhGKoc9lModNSaPA4jN9BXWopE2012BtpgiSpyF0A+HtcJ6Un0bmlVThKT2pkjdoHtjetNSUd0tEMn/WmmrJfnXlRK6Y3IbtaKcUcp44aTszrik5WusgvE2Dyrqd4HN+y6XHOZjrQUeOgTCBGRDpV9PE4LPw1tjqFz9pAHbmlAvxxLRq+f/phx/0ExpvAWJuPFYOc4P9Nf/w6ygW2hhooqhBix33K9H7RsWAEJbec79Q4Lyv0dzaBQCzBilNNm+C1M9XGjmle4LAIXApLZ35XWgNHU22cnN8Vpjp8xGWXYuruZ++dYorNIhi11CH/pBY5/hnd7cDnsBCWWohgGW83FSr+60iV6aW0Mn35AOUSc98HXheUY8UpqsaZ3cMOQ1so+U6KUCzBjxdfYuXpMAhEEvR3NsG5hd2VHu41Rnx2KZPY+3k/R6bWaqhxQpIkHsRS5/He71lTSvr8vZIxO1dGKRWWWgSxhIS5rppS9RZJkniZRtUnyprS8zgsrJvgxrx/LTyzzuS25qDOYzNNOqDpqYT10dfZBLPotfcvT4chp6QKxtp8TOpMKYa2+TXuy9TdwQibJruDRVCredINFlk0eBxsmuwBHl2/9nI0Bo/Dwq3ILMw7FNTiynJ1HhvbpnoymwR/36x9THVhoqOGAe2ptdfGbAWkza+P3S0gkpBYeCy4xetoFU1D1ZRSoRQkSeL7Cy8hFJPo72yC0R6K+UhFpBdh0VHKnHuMpyW+GeqsStlTkLIqERYcCUKZQAyfNgb4cpDyKqctfnEoKBfCwUQLU7rYKH3/x/F5zDTrfEgaTge9hkhCooeDIY7N9cH5hd0xoIMp8ssF+N+Flxi4/gFuRGSBRQCTu1jj/pd9sHxgO2jKGCfWlGxH0g0QZ3NtpdVJimBrUL/ZOVCtpgKAWd3tMKgJiUZ7Hr5ChVAMNytdnFvQnbm9PjXMykHt0L2tIcoFYsw7HIQSOpmtrEqETFq63LaGD4WhFh/HPu2KHg6GKBOIMXv/8wb36JWFzSKq1xlfVU/b+rc3YSZ/hz7xwV/jOsHGQAN5ZQKsuU6tb66/Fct4Janz2JjezQ53v+iDndO90NXeAGIJiasvMjB2uz9GbX2M8yGvIRA1TwZOEARWj3GFrjoXEenF2Ep71SlLDwcjxkNhi188Tj1PbdZxNURbYy2cnNeNMbCftjegTgXfu0w/ZxN0stJFuUDMKDibg5EWHyM6USuuZ4NfN/vxVKj4UGiqMv19QSCSYPGxEBRVCOFmrYdVQ1vWRyqnpApTdz/DQTqda9kAR+ye4Q0dNeWShxujQlDtI9XN3hBL+zsiSqr+bkAplZBThrTCCvDYLEa1/b4grZuScsvgSDdh0osqmVqmMYJTmra697qgAkUVQnDZhFzzR1Ham+vgqyHVtXRdDZnmImd23oJKKSnfDHWGkymlKlp5OgwSCYlPe9mDwyLwKD4XobSfaUMM6WjOpOpuu5fABBnJ0tFSF1/T6XUP43PxzRBnqHPZuB+bg1n7A5ROW2wMe2Mt/EkPQXfeT1R4pX9qV+ra5lxIGioEDTfLqDVINwzqYAqBSIJPDwW2SKKwiubxYZ3ZVLQ6F0LT8DQxH2pcFn4a6aJQYymjqAKfHHiOMoEY3dsaKm3O/V+GJEmsOheOuOxSmGjzsXmKh9IFaVJuGQ48SQIAfDe8vdL3D0zKx7S9z+RuG9DeFOcWdsfRuV3RnTab3nI3Dn3+vofDT5MhllBNy3+X9cLqMZ1gUiMGuVIoRkR6EQDA25YqwiKb4A+gDNJVgKTc2rv9YgkJv5gc5n1pfKwy5JcJcIiWgS/p7ygnn34Un4toWmouC4fNwqbJHjDTUUNiThlWnKIKC6nJuYEmD3oatVVtWnwO9s3qjGGuZhCIJVh0LLjRXXpl8GlDrRo+S6z2WjDU4jPNqjtRWZjgbY07X/TG3+M6wd5IE0UVQmy8E4cef97F71cjGT8ANovAYBcznJjXDdeW+GKCtxV4HBZevC7C8pNh6PHnXWy6E4fcZqhtTHTU8OvHHQEAW+7G42VaUZMeZ4K3NT6njTC/PR+OR3GtNz2zM9LE0U99YKTFR1RGMWbsC0CxgoX8uwBBEFhIm/qfeJ7aIhPTsXR4wpWw9BZfDVCh4n0kNLUQG+5QyvSfRyquTH+fWHM9GqGphdBR42DLZI8WMxsHgJCUAny0+RECkvKhzedg9wxvLBvQTumQF0X48dJLxGSVwEiLj42T3VEuECGFHoI5N1DXPKRX9zq30Vcqfe5dQJrAl5xXDl11Lkx1KIV4nIIJfIF0uIyyTSlp/ehkpt3knxfZNMRzwWktrvpxlWlKKfp8KIMal41Nkz3A57BwPzYHB54kwUpfAx/TYoFtCg7oJnexYRp0v1+Lwpmg2kOhT3rYoY+TMQQiCU48T8HO6ZQv6tPEfEzf+6zFE4WHdzLH7B52AICVp8MUCvfp0dYINgYaKKkU4XIdlhg14bBZ2DzFA76ORigXiDFrfwDzc6Xi7aBqSqlQmCqRGH//S00TPu/nqFBxVCEQY86BQGQVV8HRRAvbp3m1aMHxoXPIPxmXwtLBZhHYOtUTJtqNx97WZM31aAjFJHq1M0ZfBX0oJBISd6OzMGGnP8bt8Gdu97TRw7/LfLFnpjc8bfQhEktw8nkK+v5zD//cjEVplQiulro49qkP9s7qXO8E68XrIgjFJEy0+YxRZiy9B97eTPmplyK0NaGKp7oMwmuevEVN8BTa9+gVygViuFjooJ+zidyJXSgmsfJ0WJ2rZUZafOyY7sVIotffjmWO0b6B1QI+h43Nkz0xhd6N//Z8OLbcjWuRtTjptDYgKV/OAFO6NnqDnlxx2SyM97bGrRW9sXWKJzqY66BcIMbuh6/g+6cfvj0fjhSZdckOFjr4a5wb/L/phy8GtoOJNh85JVVYdysW3VffxcrTYU0uCj7qZI5hrmYQSUisOBXa5KbGioHtMIqWdS84EtQknypFaWushWOfUkk4L14XYda+lp86tiYD2pvAQlcN+WWCFlHrdbU3hIk2H8WVIiaJSoWK/yplVSIsP0mZEA/vZI4xnoonHL8v3IrMwr7HlNJy7QT3Fm26nXyegok7nyKzuBJtjTVxYXEPDOzQOsl2Z4Ne41TgaxAEsGmSO0y01Zhzh6kOv0HLhAextJ+U4/u1ugcAbaTDvrwySCQkU/MpssInkZDMqrayTSnp6l5HJVf3ZGGzCNxe0Yt5f9Kup01+rLpwlUvgK2uVEBUnM218N5xSFq65Ho2ojGJ81rstCAK4GZmlsEJrQe+2+NSXSkH/+uwL3Krhs0QQlLLISIuP2KxS3IjIxNG5PtBV5yIkpbBVgltWDW0PN2s9FFeKsPRE/UnVUlgsApPpTRBFk/X4HDZ2TvdCZzt9lFSKMGNvAOJboYGoQjFU3QEVCnMiIBXpRZUw01HDnJ5tGv18kiTx3flwRGYUw1CTh/2zO0NXvWXl0h8ywSkF+O0qZQq/aqgzOtspL+t+mpiHfyMywSKA74c3LomvEolxKjAVgzc8wCcHAuVSSTpZ6eLcwh5wNtMBSZK4Hp6BQRse4Ouz4cgsroSlnjo2TnLHxUU90L1tw8ahgcnV0zGpai6GPnk2RYqtCA60N1PNE07Aq3ysvy3vIaSsjLeoXMio0Zb0d0RKfjkCXlFG4ZcW94COGgcv04rrNYV2t9bDGnp1bPPdeGy5SzXJGoqQBqii6vePOzLqnn9uxuKXK5HNNuruYK4DLT4HJZUiJuEGqG5KBSYXIKekugBhswgM72SOq0t6Yv/szvC21YdALMGxZyno848flp4IkWvuGGrx8Xl/Rzz6uh82TnKHm7UeBGIJzgS9xvBNjzBhpz/+fZmhVPSw1CfASIuH2KxSbLwd16TvnSCoVL8udgYoqRLhkwPPka1gCkxTaGeqjcNzukBHjYPglELMOfC8Uen5uwKHzWKKwPMhac1+PBaLgC99YSY1/lWh4r/KH9ei8Cq3DGY6avj9444fnMI8vbACX9JemXN7tmmxhpFAJMF358Px9dlwCMQSDOpgiguLeqCtjD9jSxKXVYLvL1DJxkv7O6K7A1X/SA2/nczqV0lVicR4SiuS3zeTcwCw1FcHm0WgUihBdkkVk8CniNl5Ym4piiqEUOOylFbIv6SHVy6WTW9KAYCDiTZMaP/P0NRCJLZgqnEHcx3GikJC1j0QbQmmd7VlfDWXHA+BpZ46hnakajVF1VIEQeDbYe0x1tMKYgmJRceC8ayGWbqRFh/rJ1JeXEefpSCjqJIObuEhMqMYE3c9VTgxTxF4HBa2TPaANp+qjRTx+hzraQkWAQSnFNa5FVEXGjwO9s7qDFdLXeSVCTBtzzOFlFkqWh5VU0qFQlQKxdhC/3Fb3M8BatzGY3qPPEvBuZA0sFkEtkzxhJX+hyc7by0Ky6nkCaGYxDBXM4WagDWRSEimqTW5i02DzZ7iSsqIutdffvjqzAvEZZdCi8/B8E7VZqO/f0w1TR7F5WLU1sdYcDQYiTll0Nfg4rth7XHni94Y5W6pkCw+uIafVFmVCK8LKKPJVmtKmVAFaUJOKdO0yS8TYOmJEEhIYIyHJcZ6UvG3TxKUW9va+/gVSqtEcDbTxsD2pjgbTF2g93Q0RicrPfw00gUAsPF2XL2TqzGeVsykSir1VqSIJggCXwxywo90Ct3+x0n4oh5VlqJw2CzGgP6ZTGPSQk8dnax0QZKoNUmTHktfJxOcWdAdp+Z3Q+92xpCQwMXQdAze8ABzDwYiJKW64cfjsDDK3RIXF/XAuYXd8ZGbBTgsAgGv8vHZkWD4/uWHTXfiFG4KGWrx8Rv9c7rzQWKTVVfS6Zm9kSbSCisw73DLG3rK4mKhi8NzfKDF5+DZq3zMOxzYbK+tN8VHbpQP1JOEPMZPrDn0dKy9OqpCxX+NJwm5TGjG2gluda5xv8+IxBIsPRGCwnIhOlnp4qshyq/M10V2cSUm736Ko89SQBCUb+OOaV7QbmH/KCnlAhEWHg1GhVCMng5G+LxfdYBPHB1e0s6k/vN4YFIBKoRimGjz4dxKKvHWhMtmwZpWu7/KrTY7V0ShIx3+uVnp1QqCaQjK5Jw6t3dsgaTmq0t8mbcHrn+g1DCsIdS4bDjKvPYJOYo1SZRFOkgz1qbCU36/Fsms1l8KS5dTqzf2OH+OdcWA9pTP0tyDgbVqKF9HY8zvbQ+AUlTpqnNxan43mOuqIT67FON3+LdoQ8faQANraH+p7fcSGFVhfZjoqKEnPdhSZlCmo8bFwU+6MOnWU/c8a9EGmwrFUDWlVCjEtfAM5JRUwUJXDRO8rRv9/JCUAvxyOQIA8PUQJ3Rra9jah/jBQJIkvjrzAmmFFbAz1MCfY5vmwXUuJA0v04qhzedg+cC603oyiirw+9VIdF99F2uuRyOruAqmOnx8M9QZT1b1gzntBdXN3hASksTUPU8xbe8zvHhdBA0eG0v6O+LBV33xaS97hRqV0u+vpsm5tAljrM2HvpLJgIpiY6ABHpuFSqEEaYUVEEtILD0RgoyiStgbaeKXjzsyF8TKeAkVVQixn14/WEInSp6lV/fGeVFNrtEelswk68vTYfUWPV8PcYavTDy1nobihfTsHm0oE1wWgfMhaZh7MBBlzVgFk/pHST0fpNRc4Wvo/gc/6YIrn/fEcFdzEARwOyoLo7c9wZTdT3E/Nkdu1dDTRh+bJ3vg0df9sKhvWxho8pBRVEmt9q25i0XHgvE0Ma/R9cQhHc0wzNUMYgmJr8++aHKBqa/Jw75ZlLozNLUQq87VHZncUrhZ6+HA7M5Q57LxMC4XK06FNlvx9iawM9JEB3MdiCUk7kRnN/vxpOsYcVkl78X3r0JFS1MuEOGbs1SC21QfG/RwaFh5/D6y6U4cnidR5u2bW8hHKig5HyM2P0JQcgG01TjYN7MzFvdzbBX/KCk/XIxAXHYpjLX5WD/RXS6kRarKdjStvyklvcj2dTR+b5VwUl+ppLwytKMba4qsvQfVSGBWlOySKuSWCsBmES3iQWqszYcPXe+IJSR21qNobwqyvlIJrbgWZqjFZxIFjzylVEzSoeCOB40n8UnhsFnYMsUDXdpQSvGZ+wJqKY6+GOiETla6KKoQYtnJUNgaauLU/G6wMdBASn45Juz0b1HF2fBO5pjiQymyV5wKrTc4SIrUm/J8SJpSNZuBJg9H5/rA1pD6Pqbuef+Skd93VE0pFQpx+CmVWjK1q22jxUNplQhLT4RCKCYxtKMZPvW1fxOH+MFw8EkSbkZmgcdmYcsUzyZN+MoFIvx9IxoAsKifA4y0+HIfj84sxoqTofD90w+7H1Iqn3amWvh7XCc8/KofPuvdFiQJHKf3skNSCzBq62M8js8Dj83C7B52ePBVX6wY2E7p43uVW4aCciH4HBYT5RvLrO61jrweoE620vji+OxSbLwTh4dxuVDnsrF9GmXaKC3+I9KLFT4ZHXyShJJKERxNtDDExQxPE/OQVlgBbTUOBtHrCARB4PfRrtBW4yDsdRF2P6w7rYzDZmHDRHfm/Q2345RSzHzsYYndM72ZZJSJu/wbPYHXh9SAPjC5QO7ELm1KPUnIVciYu6OlLrZO9cTtFb0x3ssKHBaBJwl5mLkvAEM3PsSZIPkEPjNdNXw52Bn+q/phw0R3eNvqQ0Sn9k3a9RSD1j/AwSdJDX7tn0a6QFedi5dpxc1KhrMz0sS2qZ5g042+lixW68LbzgA7pnuBwyJw5UUGfr4c0aqNsJaitxM1mawp928Kdkaa4LIJlAnEyFBNKlX8B/nnRixS8sthoavWpNCNd50nCbnYTCvv/xjjyoSQNBWSJHHYPwmTdj1FdkkVnEy1cXlxT/R1VsxDs6mcDkzFmaDXYBHApkkeMNaWr7Pi6BU2B5P6FVD3pX5S7d7fxqO0rnqVWwYnU20QBNU4aqyGCqwxnFQUqUrKwVhL4WFoY6waVm1v8feNGCYNurnI+kq11vqeFF9HY0Zt/9WZMIz3poaiZwJfK6X6UeOysWemN9qb6yC3VIBpe+VVQzwOC5smeUCTx0bAq3xs9YuHtYEGTs3vhrbGmsgoqsSEnU/rDPdpKj+M6ABnMyppcMXJsAYHVoM6mEGTx0ZKfrnSVhwmOmo4MseHUX7N3B+gcJKkiuajakqpaJTozGKEpBSCyyYUUkn9fjUSKfnlsNRTx5/jVEl7yhD+ugh/XKOaSd8Oc5aLlFWGnfcTkVVcBWsDdSbBgiRJPIjNwcx9ARiy4SHOhaRBJCHR1d4A+2d1xo1lvTDe25ppOv5zIwZltLdNpVACFgGM9bTCnS9648ePXGo1uhRFGlPb0VKX+VpSk/PWWt2TIl3h2/voFTbfpTyH/hjTEU70dM9EW42R0D9OaPwCu6hciN0PqUbF5/2piazU4PwjNwu5gslMVw0/jKBW7Nbfiq3XCDRfZgUqo6gSP9OKQ0Xp62SC4/O6wlCTh5dpxRiz7UmTiqFOVrrgsgnklFQxq5UA9Rw6mGhBKCbhp4Qypq2xFv4e74b7X/XFJz3aQIPHRnRmCVaeDoPvX3ex/V4CiiqqT/58Dhsfe1jizILuuLbEF1N8bKDBYyMuuxQ/XopA1z/uYNW58DqLRxNtNcb8c92tWIW9Beqih4MRsxr557/RuF3H2mJL0rudMdZOcANBAAf9k7H5rmKeEG+TzvSkO7AFIpW5bBbztyW3RDWlVPHfIii5APufUI30P8a4ttra2dsir7QKy06EgiSBSZ2tMZJe/20qZVUiLDsZiv9djIBQTGK4qznOLezOqHdai9isEvzvIuUjtXxAu1rbAMWVQmTSF/IO9azvZRdXIjqzBAQBxkvvfURqM5CQXQpNPge2tFl9VEb9aqn8MgES6XU2D+ummZy7WLZcUrO7tR46yTSQmhOWIoucUqqV1vdkWTnYCS4WOigoF+J4QArj77nnoXIDNR01Lg590gW2hhp4XVCBGXsD5BL27Iw08dtoKvF4w+1YBCblw0xXDafmd0MHcx3kllZh0q6nePG6sEW+LzUuG1umeECdy8aj+Fxsv1+/+kudx8aQjpT1iNRKQxmsDTRwZK4PU0PPb2X7BhXVqJpSKhrl35fUmk7vdia1JkE1uROVheMBqSAI4J/xbtD5wAqq1qSkUojFx4MZY86Z3e2a9DjZJZWMofY3Q9pDIgGOPkvGoPUPMGNfAO7H5oBFAMNdzXFxUQ+cmNcNfZ1NmOZhXmkV/nfhJaOOA4BBHUzx77JeWDvBrdnpOGF0U8rNSo+5LZaWNb+pptSj+FyQJLUaMdrDSu5zetJqqUcKGC3vfJCAkkrKS2qEqzlKKoW4Tv++jPeyqvX547ysqFhdsQQrTtXt+xQj06wiCMpQ8ojMa6EI7tZ6OLugO+zogmLs9ie11vAaQ43LZpRsNadNg10oBZj0b4MyWOqp44ePOsD/m/74eogzTHX4yCquwp//RqP76jv4+XJELU+CDhY6+GO0K55+2x+/jHKBo4kWygViHA9IwbBNDzF2+xOcCXqNckH1uuJ4Lyv0dDBClUjS7NW76V1tMZVOOaxp2t4ajHK3xI90A3PdrVilX/83TSf6d/lVbsskDEn9cworVBNKFf8dBCIJvj77AiRJDYD6KJiW+74gkZD44nQYskuq4GCihR8/cmnW48Vnl+LjrY9xMZRKKP5+eHtsmeIBTT6nhY64bkqrRPjsSBAqhRL4OhphYV+HOo8NoJL36gv4eUDbBHS00G0wne9dh2lK0cMv6UpdQ0oZqbdkW2NNpS0bpCbnzUneq4uZ3eyYt6MzS7ChiWEpssiuF0ZlFLf6Sjqfw8bGSR5Q47LwOD4PfC51mX/0WYrSno/G2nwcmeMDE20+YrJK8MlB+RCW0R5WGO1hCQkJLD0RiqJyIQy1+Dj+aVe4W+uhsFyIKbuf4bmStWd9OJho4+dR1N+MdbdiG6xppSt8V1+kN6m52NZYCwdmd4EWn4MnCXlYdiJULolaReugakqpaJSbEZQyQHohWh8llUKsOkf5IMzp0UblI6UEJEni2/MvkZxHKcz+aobCbPOdeFQIxTDV4eNFWiG6rbmD786/RFx2KTR5bMzqbod7K/ti61RPuFnrMfcrLBfgnxsx6PWXn1xD6tT8btg1w7vFGkahr6mCwt2m+mu/KaWUjUxDrZOVLn6gFTCy9HSUNqVyG2xk5JRUYf/jJADAioHtwGIRuBiajgqhGA4mWnCXeW6lUEaSnaCrzkV4WhE236ld9EgbHhO9rfHlYCcAwE+XIuCvgHJLFjsjTZxd0J0pDqbueYZ/X2Yo9RhSWb00LVHKEBdqCnUvJqfJTQhdDS4W9GmLh1/1w9rxbnA200aZQIz9j5PQ+28/LD4WXGvKpqPGxYxudri5vBdOzOuK4Z3MwWERCEouwMrTYfD5/Q6+Ox+OcPpn7I/RrlDnsuGfmIeTz1ObdJwA9br9NNIFXe0NUCYQY+6h53KKttZgVo82WEKnKv7v4ktcD1futXuTGGryoE1fCKa0oMmpSmOr4r/E3kevEJ9dCiMtHv43ovG03PeNvY9e4V5MDvgcyrdGndf01asrL9IxassjxGWXwkSbjxPzumKur32rK/NJksSqc+FIzCmDqU5tHykp8fTqnmMDq3sPPoDVPQBoa0Kp0lLyy1ElEjONmMiM+ptSjJ+UrfKp0hFSk/NmJu/VZHgnc7nm4M77CUoP82pS0+w8vaiigc9uGWQbvtLAkHKBmEmIVgZrAw0cotOBg5ILsOBokNww9ZdRLrA11EBaYQW+PU8N/3Q1uDgy1wc+bQxQWiXC9L3P8LCF0nTHe1lhlLsFxBISS46HoLC87jqsq70hzHTUUFwpUsojVhZXK13smu4FHpuFfyMy8f2Fl++FncL7jKoppaJBiiuFiKKnHY1N7TbejkN2SRXsDDWwkr6YVqEYJ5+n4nIYNe3bNNm9yUk7yXllTEMpq7gKO+8norBcCBsDDfxvRAf4f9sfP410gY1hdXOmqEKI9bdi4funH7b4xTMrewCwaqgzY3jdElSJxIii163caXVFUUW1zL0hQ9CW4MTzFObtrVM8wefULop92hiCx2YhvagSiQ2sfW31o5p/btZ6GNjBFCRJ4hidljSli029xbGpjhp+p2XPW+8lIDhFXoUUTTelnMy0saB3W4x0s4BIQuKzI0F4peQamnRqNaC9CapEEiw4GowDjxX3WPKmm1JByYVyt3e01IGlnjoqhOJG01Aag8dhYayXFa4v9cWhT7rA19EIEhK48iIDI7c8xoQd/rgWniFnWE4QBLraG2LrFE88+aYfVg5qBxsDDZRUiXD0WQo+2vIIwzc9wr3YbMZj4fdrUc1KU+GyWdg+1Qs2BhpIza/AgiNBzUo4VITlA9thCq3QWnYyVC658F2CIAhY6FEJTC2RWCNtdLaUX4gKFe86aYUV2EQPKb4d1v6DS9sLSy3En/9S1gQ/fNQBzmZNW70SiCT46VIEFh8LQZlAjG72hri6xBed7VquTmmII0+TmVptyxTPem0MpMl79a3uSSQkHsVTF8u93uPVPQAw1uJDW40DCQkk55UzTamG1vcCk5rmJ5VXWoX0Iuoc06EFkvdkUeOyMblLtUWJhD7vKuKd2RDyvlKtv8IHUKuxg11MIZJR9xx4koTSJoTfOJvpYP/szlDjsnAvJgcrT1d7OmmrcbFpkgc4LAJXwzOY4Z8Wn4MDs7ugdztjVAolmHMgsM7EZmWR+rPaGWogvagSX515UWejiMUiMKQj5X96LVx5Rb+U7g5G2DjJHSyC8thdezO2yY+lonFUTSkVDfIitQgkCVjpqze4uheTWYL9dBf+p5EuqosJJYjJLMGPlyjfoJWDnODVhMmRQCTBxdA09P77ntzt3ewNsWu6F/xW9sGcnm3k1ilLKoXYdCcOvn/excY7cSipotbQJnehUi60+BxMphMvWoqojBIIxBIYaPJgbUBdxEq9lSx01Vp13fNCSBqeJ1Vf1PPrMexX57GZQqm+CUtaYQXTgPpykBMIgsCL10WIzCgGj8PCGFo6XB8jOlkw054VJ0Pl1s6kSilnM20m6tfdWg9FFULMOfC83slQfajz2NgxzYtZP/vpciRWX4tSSEYufR5iMovlzB4JgsAgWjl5s4U8lgiCQK92xjg8xwfXlvhijKclOCwCAUn5WHg0GL5/+WGrX3wthZKJjhoW93PEvZV9cGyuD0a6WYDHZiEyoxg/XIxgvAdKKkVK+3PVRF+Thz0zvaHF5+DZq3z8cS2qWY/XGARB4JeRLujnTDUVPz0U2KJxyy2JBp/6m18uaN76nkRCIoOeJje2Lq5CxYfCb1ciUSEUo4udAUZ7NHz+eN8orhTi8+MhEEkoz6cpXZpWV6QXVmDiLn9G8bGwT1scntPljf2dePG6EL9eof7mfzPEucFGWFwjyXsv04uQXyaAFp8DTyUbM+8aBEHI+UpJfTnjs0vqDGqpEokRSqugOys59Iygh5r2RprQaoU1zak+tnLKt9cFFfjpYvPqhg4yK3ytmcAnC0EQWDOmE8zoBG2AGgAfbaIVgJetAbZPpUJYLoam48dL1SEsbtZ6jBDh58uRiKcbsuo8NnbN8MIQFzMIxBJ8diQIl8LSm/mdUdcmW6Z4gsdm4WZkVr32BsNcKUX/rchMpQKDajLU1Ry/j3YFAGzxi8e+ZoTnqGgYVVNKRYNIpz0ujUwkfrkSAbGExGAX0w/OB6E1qRSKsfRECKpEEvRqZ4z5vZRLKswoqsC6mzHo+eddLD0Rytze0VIH15f64vi8rhjkYiZ3ki2rEmGrXzx8//LDuluxKK6kkve2T/XEtSW+eF1AXfRO6mzd4k2iaj8pXUZJFCuVubfi6l5sVgmzWlp9W/3FgXSF72E9TanNd+IgEEvQ1d4APRyoNVVpUuFwV3OFpty/jOwIMx01JOWVM82NsioRs/4kNV9X41Indks9dSTmlmHBkWClFTocNgu/fdyRWQfc+SARy042buRpoqMGawN1SMhqg3opA9tTTSm/6OwW37XvYKGDdRPc8ejrfvi8nwMMNXnIKKrE3zdi0HX1HXx5OoxJ4JHCYhHo7mCETZM98Ozb/vjxIyqtRSiuPrZr4ZmYtMsf6YVNl9C3M9Vmopf3P07CxVDljTSVgcNmYfNkD7hYUEk4sw88lzOEf1fgsqhyornqsbTCClQKJeCwCFjrq7fEoalQ8U5zPzYH119mgs0i8MvHLh9UOAxJkvj2XDhS8sthpa+OP8a4Nun7exiXgxGbHyEkpRA6ahzsnemNr4Y4g8N+M5cxReVCLDxa7fk5l1bg1kdcI+t7UoVxt7aG4L6h76E1kfWVstJXh7YaB0IxWWfISvjrIghEEhhp8WBnqJxHqdRPyqWFV/ekWOipM1Yl7Uy1wCKAcyFpuNyMZoqsoqu1E/hk0dfkYd1EKjRFyu6Hr5psudDX2YQJYTn8NBn/3IxhPjbP1x49HYxQIRTj8+OhzNfgcyiD8tEelhBLSCw9EYJTzbBSkNLRUhdf08mkv12NYhphsnjZ6sNIi4/iShGeJDRthU/K5C42TP38y5VInA953azHU1E37/9fQhWtSgYtk7XUq//E4Z+Qh8fxeeCyCXw/vLZHj4r6+edGDKIzS2CoycPa8W5g1eFNUBOJhErR+/RQIHqsuYtNd+ORLZNS1dPBCFc+95UzWASAcoEIO+8nwPcvP/x9IwaF5UK0NdbE5ske+HdpLwx1NUd8TikexuWCRaDJRusNwTSlZPyWYrOq19VaA6kpaYVQDF9HIwzqQBUcDZlw+tJNqaeJebUusl/lluE0nbD35WBKJVVSKWQmQJMVnALranDxz3iquXHkaQruxWQz01UjLT4MZdYCTLTVsGemNzR5lD/S/5qw204QBBb1dcC6CW7gsAhcCkvHzH0BjTY4vGykK3zyq2Od2xhAW42DvDJBrYZVS2Gmq4YvBjnh8TeU75SrpS4EIglOB73GiM2PMG77E1x5kV7rNdLX5GF2jza4vtQXFxf1kHtNnibmo/uau5i86ylOB6Y2Sc4+yMUMi/q2BQB8cza8RaOP60KTz8HemZ1hpkPFFC84EtSsyV9rUEI/j81tZD9NpLzTXCx03tgFpwoVbwuhWMIoOGd1t2vyWtu7ysnnqbjyIgMcFoFNkz3qNf2uD4mExKY7cZixLwD5ZQJ0tNTB1SW+6N++YY/TloQyaA/F64IK2Bho4O/xbg021ioEYqTRg4/61vcexNKre+3e79U9KfbGlK9UQk4ZCIJAezPpCl/tc6NUsd7ZzkDpBmUEnbzXsYVX92SZ1Z1qOKbkl2NaV1sAwHfnw5s8zJJVSrVWrVQf3dsaYUHvtsz7uaVVTP3aFEa5W+K3j2n7Cb8E7KCV6CwWgXUT3GCoyUNURjHWXI9m7sNhs7B2vBsmd6HU+l+dfaGUjUR9zO5uB19HKsxmyfHaQ1Y2i8CQjtTfievNWOGTsrBPW3zSg/rZ+PL0C6XSp1UohqriU9Eg0lUZQ626lR8kSWLdLapbPqmzTbOT2f5LPIrLxR5aBvrn2E6NStALygTY9SABfdfew4x9AbgVmQUJCXS1N8C0rtRFN4dFMCcMKeUCEXY/SESvv/yw+no08ssEaGOkiQ0T3XFzeW985GbBNMP20yeKQR3MWuW1lEq262pKOdZTvDUHiYTEF6dCkZhTBnNdNWyY6M4kyjXkd+BioQs9DS5Kq0RMI03K+luxEEtI9HM2YVYtL4amo1xAGZx3tlNcit/T0Qiz6ObfV2de4Bl9Qe5kVvu5aG+ug81TPMAigBPPU7HnYdNO6mM8rZhUkaeJ+Ri3/UmDK2FetnU3pbhsFnrTBfWdqJZZ4asPNS4bY72scGlxD5xd0B0j3SzAYREITC7A4mMh6LHmLv65EcOo/KQQBAE3az2sHuOKZ9/2l/uYf2IevjzzAt6/3cLSEyG4F5Mt51vVGCsGOsHXkZoMzj8c1OrqJTNdNeyb1RmaPDaeJOThh4vvlulmTgk1wNBvphfOnSiq0PtQLtZUqGiIE89TkZhTBkNNHpYNcHzbh9OixGaV4Ce64bZysBM8bZRbU8spqcLM/QFYdysWJEkNfM581v2N15m7HibidlQ2eBwWtk31bLSxlpxP+QbpqHGgr1H7c0sqhYyXZO/33E9KSu0EPmrIGF1HUq00jc27CT5g4bRC2qWFk/dk6WynDxcLHVQKJTDR5sPNWg/FlSJ8cSqsSel5ssp56frhm2T5wHZywTvb/OKbpWie6mOLb2iV0prr0YyVhYmOGjNoPfAkSa4uZLEI/DG6I+b0pJo6P12OxLZ78U0+Buljrh3vBn0NLiIzirGuDr+nYR2pFb4bkZnNVnETBJXwOdrDEiIJiQVHg5pthK9CHlVTSoVCsOqZZgQmF+B5UgF4HBYW1RGLq6JuCsoE+OJ0KABgio8NBnSoe+pHkiSCkguw4mQofFbfwR/XopGcVw5tPgezutvh1vJeOP5pV7ykp0eTu9jAzoiaWBVXCrHVLx491tzF79eikFsqgI2BBv4Z74Zby3vhYw9LubW+gjIBzgVTq0if9GxYmt4UiiqESKRNHt1ok3Oguoipb6LYHLbfT8CNiCzw2CxsneoJQy0+nJliqf7igM0i0NOBUkvdlzHyjsooxuUXlCLqi0HtAEDO4HxyAwbn9fHNUGe0NdZEdkkVVtPTJSfTuqeA/ZxN8R2tRvzjelSTjSN7Ohrh1PxuMNXhIy67FKO3Pa53gidtvIWkFNZa0xtAT6tvt3JTSgpBEPCy1cemyR54/E0/LOnvCCMtPrJLqrCFXkmdtT8ANyIyazWYTHXUsGmyB/P+RG9r2BtrolIowcXQdMza/xzd1tzFb1ci8TKtqNGGD5tFYNMkD1jqqSM5rxwrToa2etxzBwsdbJniyTQmjz5LafxOb4Dc0irklgpAENVJTE0hu7iS+VkaSheTKlR8qJRWibDxNnUhtXSAI7Rb0VPxTVMpFGPxsWBUCilrgnm+ylkTPIrLxdCND/EwLhfqXDb+Ge+G1WNc37hf6bPEPPx9gxq8/vhRB4US35JyqeFIGyPNOuuBJwl5EElI2BlqyIXOvM840H/3E7JLQZKkjNm5fJ0lkZDMhbwyAzyAqlGl9gaurbS+B1B1hnRYeOxZCtaOd4MGrVLf/TCxSY/Z1b66Addc43Rl4bJZ2DTJA1w29bOYUVTZrHVEAPisd1ss7EMpsL67EM5sCvR1NqlWE515IRd8Im3qSFOF//o3Bv/ciGnWcM1ERw1/ju0EgLKleBwvv6bXpY0B9DW4KCwXMub6zYHFonxe+zpRBu6fHHjO+MCqaD7vTVMqPz8fU6dOhY6ODvT09DBnzhyUlja8m1tZWYlFixbB0NAQWlpaGDt2LLKy5C+eUlJSMHz4cGhoaMDExARffvklRKLqdY579+6BIIha/zIzmy8FfB+Q7rpX1LODfJA2nBzjYQkzXbU6P0eFPCRJ4tvz4cgqroK9kSa+H147+jm3tAq7HyRi4PoHGLv9Cc6FpEEgksDFQgdrxrji2XdUip6jqTbuRmcjNLUQ6lw2Pu/vgIIyAdbdjEGPNXfx940YFJQLYWuogT/HuuLOF70xzsuqzrWYYwEpqBJJ0NFSR+liQRFe0CopW0MNJna3pFKIrGJq9bBtCzel/KKzmZ33X0a5MFNaqaw8Lqu0QWVMX9obzS+mWqK79iY1sR3uas5M6sLTZAzOm2BQq8ZlY/1Ed3BkGoTODawyftLDjklkW3oiBBHpRfV+bkN0sNDBhUU90MGc8iqauNMf18Mzan2ek5k2tPgclFaJap18+zgZg80iEJtV+sYNuE111LBiYDs8+aYftk7xRA8HQ5AkcC8mB/MPB6HHn3ex7qa8euqjTuaMB1h2SSXurOiNi4t6YGY3Wxho8pBTUoU9j15hxOZH6Lf2Pr1eW1xv0aSvycOOaV7gcVi4E52NLX7Nm/wpQl9nE3w1hJpS/nQpgpk6v02kFxltjDShwWu6+eyeR68gkpDwtNFr8WQlFSreNXY9SERuKaVcVnTt+33hlyuRiM0qhbE2H+smKGZNAAAisQT/3IjB9H3PkFtaBSdTbVz+vAfGeVm18hHXJqekCp8fD4FYQuJjdwuFDdqT8qjhm3RAWBOpn9SHpAa1MdAEm0WgTCBGVnFVvU2p2OwSFFeKoMFjy621KUIYXUO2MdKEbh0KtJbkIzcLGGrykF5UibisEvz4ETUM/OdmTC0/S0XwaWPIvJ34hhL4ZLEx1GBUTACwoomqL1m+HOyEaV2pWnTFyVDcjaaur78e6oQO5jrILxNgxSn5YR1BEFgxyAlf0zXMFr94/HIlslmNqUEuZszfzy9OhcmFAXHYLMbn+F5sy6zbcdksbJvqBS9bfRRXijBrfwATzqKiebw3TampU6ciIiICt27dwpUrV/DgwQPMmzevwfssX74cly9fxunTp3H//n2kp6djzJgxzMfFYjGGDx8OgUCAJ0+e4ODBgzhw4AB++OGHWo8VExODjIwM5p+JyX/DzNuCbjRl1LFLnV1ciX9fUs25Gd3s3uRhvdecDnqN6y8zwWER2DjJg7mIE4kluBudhfmHA9H1jzv4/VoU4rNLocZlYaynFc4v7I4rn/fEpC42zH1IksSG21SM9DBXc+x9+Ao9/qR8pkoqRXAw0cKGie64s6I3Jna2qddQUyiW4LA/lWAxu3ubVjFarTY512Nue5VLnZyNtPgtaqqelFuGJSdCQJKUEm2STDFppa8OTR4bArGE+fp1IS0YX6YVI7ukEiEpBbgdlQUWQcmhpUgNzod1NIO+ZtNWlzpZ6eHzftWrG1pq9V/YEwSBn0e6oIeDIcoFYsw9GIhsmWmUMpjrquPUZ92YdLcFR4Ox836CXIHAZhHwsNEDAASlyE+a9DR48KbX+96UWqomPA4LwzuZ4+jcrvBb2Qfze9vDUJOHrOIqbLpLqadm7w/AtfAMCMQS/DKqI7hsAn4xObgZmQU3az38PKojnn3bH3tmeGOYqxn4HBZe5ZZhi188hmx4iIHrH2DD7dg6zTRdrXTx2yhqZXb97VjmgqM1md/LHiM6mVMS8iPBb70guhVJFXt9mxFykZRbhgOPkwBA7ndBhYoPkeySSux+QKkuvh7i9EGYXUu5Hp6BY89SQBDA+gnuMNJSLB0vvbACk3c/xRa/eObcfXFxDzjUYxbemkhNmbNLquBgooXfRytu0J5MN6VsDetuSkkDVHp9IKt7AHUetqXXKhNyStHOVBssAsgtFSC7pLo+kfpJedroK+0Z+OI11Qxys2o9lZQUNS4bU+j06f2PkzDB2xqDXUwhFJNYdjIUFUqmzMqZnb+hBL6ajHK3ZEzcAeB0UPMMx6l04I4Y5W7B1CJPE/PA57CxeYoH1LlsPI7Pw84HtdVlC/q0xS+jXABQz++qc+HNCsz534j2sDfSRGZxJVadC5erYfs6002p6JarzdR5bOyd6Y22xprIKKrE7P3P37gC7kPkvTgLRkVF4d9//8WePXvg4+ODnj17YvPmzThx4gTS0+uWIBYVFWHv3r1Yt24d+vXrBy8vL+zfvx9PnjzB06dPAQA3b95EZGQkjhw5And3dwwdOhS//vortm7dCoGgRuy4iQnMzMyYfyzWe/HUNZs2tHlhVB2rTlfDM1RTbSVJzivDz5coj4XlA9vB1UoXr3LL8Ne/0ejx5118ciAQNyKyIJKQcLPWw++jOyLguwFYO8ENHjb6tYqiO1HZzI792eDX2PkgEeUCMTqY62D7VE/cXEat6TV28r/+MhOZxZUw0uJjhFvrrM2EptIFhcxuu3R1r61x01d+alJWJcK8w4EoqRTBy1YfP33kIvdxFotgTNWjGpDdGmvz0Ykufu7F5DDGjWM8rZhVw9IqES6GKmdwXh8TO1szb2/1i29QxcVls7Btihfs6RPip4cClS6SpGjxOdg13YuRq6++Ho1vz4fL7d9LVWbBybXlz9IVPqkX0NukjZEmVg1tjyer+mHzZA90s6fUU34xOVh4NBhdfr+D/Y9foQsdQ/3L5UgmJYbLZmFAB1Nsm+qFoP8NxMZJ7hjYwRQ8Ngvx2aXYcDsOA9Y9wJAND7D5ThziskqYwmdCZ2vGxHP5ydAmNwkVhSAoCbmzmTZyS6vw2eGgJifqNJeiciGu0Qq7wS5mTXoMoViCpSdDIRBL4OtohD5OH87FmgoVdbHrfiIqhGK4W+s1+ffmXSSjqALf0Em3n/VuyyTZNsbtyCwM2/QQz5MKoM3nYMsUD/wx+s2v60nZcDsWTxLyoMFjY8c0T2jyFVeASoddbYxqr+Yl55UhJb8cHBaBrm0Na338fcZexldKncdGG1opFinjo1S9uqe8n5R0sNlJZrDZmkzragsOi0BAUj4i0ouxZkwnmGjzEZ9ditXXo5R6LFlVWGsHozTE2gnuzNtfnw1vti8li0Xgn/Fu6E8PNuceDMSL14Voa6yFn0dStffamzEISaldO87oZoe/x3Vi7AhWnAptsu+TBo+DjZM8wGERuP4yU87MvZejEVgEEJNVwgQQtAR6GjwcmN0Fxtp8RGeWYP6hoEYTrVU0zHvRWfH394eenh68vb2Z2wYMGAAWi4Vnz57VeZ+goCAIhUIMGDCAuc3Z2Rk2Njbw9/dnHtfV1RWmptWd48GDB6O4uBgRERFyj+fu7g5zc3MMHDgQjx8/bvB4q6qqUFxcLPfvfaULfeKISC9GQZl8o056ITKik8UbP673EbGExBenwlAmEKOdqRa01TgYt/0J+v5zD9vuJSCruAoGmjzM6dkGN5b1wsVFPTDVx7ZeBVFMZgnmHgqUu83dWg/7Znnj6pKeGOpqrrBkfh9tuD69qy34nJYvAkmSZDyLZA0XpTJmaTHTEl/nyzNhiM0qhYk2H9uneoLHqf1nzpkuEKLrSIaRRSr7/fFiBJ69ygePw5JTSV0MTUO5QAx7Y02m0dFUZAuViPRibPVLaPDzdTW42DezM/Q0uAh7XVRLJq0MHDYLP410wY8fdQCLAI4HpOKTA9WTH3daKSWVz8vSvz31HD17lYeSd2RSxOew8ZGbBY7P64q7X/TGgj5tYaajhqIKIY48TcHjeMpQPq2wAr9ciax1fy0+B6PcLbF7hjcC/zcA6ya4oZ+zCbhsAtGZJVh7KxYD1z9A33/u4Y9rUXielI//jWgPZzNt5JUJsPREaLOmfoqgweNg9wxv5vX/8WJE43dqBQ76J6FCKIazmXaT1n5JksRPlyIQlkpFva9uYmS8ChXvC7mlVTjyjFImLx/Y7oP5eRdLSKw4GYaiCiHcrHSxQuZcWR9VIjF+uRyJuYcCUVguRCcrXVxd4vtW68p7MdnYfJdaxV49xlVppVZyHrUybleHUuoR7XnjaaMPLSUaXe8DbWV8pQAw/luy627PXzXNT4okSYS9rj3YbE1MddQwzJUa0h54kgR9TR7WTqBW4A75JzPraopgpa/OvP1vxNuzf9Hic3Dwky7M+wuOBDf7Mbm0Z2tXewOUVokwc18A4rJKMN7bilF0LzkRUmd9ON7bmmkmXQxNx8KjwU0esLla6WIF7fX686UIJNHNYT0NHjNYvRfTssNTawMNHJjdmUnG/vL0i1b3Fv2QeS+aUpmZmbXW5TgcDgwMDOr1dsrMzASPx4Oenp7c7aampsx9MjMz5RpS0o9LPwYA5ubm2LFjB86ePYuzZ8/C2toaffr0QXBw/b/Iq1evhq6uLvPP2tq63s991zHRUUMHcx2QJHUBLqWgTIBAWjUxpOOHM+VrTbb5xTPPWWxWKX64GIHA5AKwCKCvkzG2T/XE01X98b8RHRglT01IkoR/Qh5m7w/A4A0PmNvbmWrh6FwfnF/YHf2cTZUqcoNTChCaWggem4WpXVvH1yKzuBK5pVVgswi4yKjqpE2pllJKbb+fgGvhmeCyCWyf5gkTnbp9ztqb1Z8MI0tfWrEh9VSb3d0OlnpUcUGSJI48pVb3pjTB4LwmNVNZNt6JbTTZw85IEzuneYHLpqZDyk7vajK7Rxvsmu4NdS4bD+NymWQ+6cplYk5ZLYmyvbEW7I00IRSTTMz1u4S9sRa+HuKMx9/0w+E5XTDK3QJq3OpT37FnKRi0/j5OPU9FUXntoklHjYsxnlbYN6szAr8byJhc8jgsJOWVY9eDRIzf4Q/fP/2Yiwz/xDxsudv6/lLWBhrYMpkyPj8ZmIrzIU2Pem4K6YUV2H6Pap4u7Oug9O8ASZL452YMjtKrPn+Pd4OV/odh/KtCRX3sfpCISqEEbtZ66KWgkuh9YOeDBPgnUuqijZM8Gl1JjM8uxdjtT7CPTv2d07MNznzW/a2af6cXVmD5yVAAwFQfG4xyV84nskIgRkYRpZStsylFr+4pqiB7n6hO4KPqOqkZuVTNn1ZYgfSiSnBYBDPoUpT0IqqG5NSoIVubWT3sAACXQtORW1oFX0djxsh75Wl5I++GkD03pua/3XX73jJeZv9GZDIJ2M1BjcvGnpmd4Wali4JyIabtfYbXBRX4fbQrLPXUkZpfgR8v1T04+8jNgvHmvBWZhU8OPEdplajOz22M+b3aoksbA5QJxFh6slp5JV3h84tueUW/i4Uudkz3AodF4FJYOv78N7rFv8Z/hbfalPrmm2/qNBGX/Rcd/XZfXCcnJ8yfPx9eXl7o3r079u3bh+7du2P9+vX13mfVqlUoKipi/qWmNm9v920jXSs66J/M/IIHJReAJKlmgoWeekN3/08jEkvwMC4HH299jLW35ONKXSx08N2w9njyTX/sn90FQ13N61T1ANQE8lp4Bj7e+hiTdz+FX0z1bnQ3e0PcXN4bPRyMmtQY2U/7uIx0t1DY+0FZIuh0QEcTLTk5fvX6XvOVUvdispmUnJ9HdmRS4+pCUaVUTZn4wj7VCZNByQWIyigGn8NqERNWqWH5N0OdMcbDEhISWHoitNE9dR97Q/w9jpre7X74Cof8k5p1HAM6mOL0Z1QyX2xWKUZve4KU/HJYG1C/5+Gva5t8StVSd96Sr5QisFkEfB2NsXGSB55/NwBrxrgyH4vNKsVXZ1/A+/dbmHPgOc6HvK5zqqerwcUEb2vsn90Fwf8biG1TPTHawxK66lzkyTTqAcpfat6hQCTklDZbIt8QPR2NsKQ/5cH03fmXSMx5M34VIrEEy0+GokIohretPj7qpNzar1Aswapz4Ywi8NdRHT+oNSYVKuoiv0yAw08pldTS/so3ct9VwlILmUj2n0a61GvyDUgHOskYsfkhXqYVQ0+Diz0zvPG/ER3qrYHeBAKRBIuOBaOgXIiOljr434gOSj9Gcj7VkNFV59bymBRLSDxJoFS6PRw+3KZUfC2lFFVnSVVSLpa6SgdivKCV9k5m2m90pdPTRh9u1noQiCU4Tqfdfj3UCS4WlJH3MiVU0QPaV4sr3raa5sk3/Zi3B61/0CLr/1p8Dg7M7gJHEy1kFVdh2t5nqBKKsXGSO1gEcC44jUnpq8mADqaM4uhJQh6m7XkmZ1iuKGwWgfUT3aGtxkFYaiEzNJNaAvgn5DV5RbAhfB2N5VIAD9CNdhXK8VabUl988QWioqIa/Gdvbw8zMzNkZ8t3N0UiEfLz82FmVncRa2ZmBoFAgMLCQrnbs7KymPuYmZnVSuOTvl/f4wJAly5dEB9f/xScz+dDR0dH7t/7zBhPSxhq8vAqtwxH6WIqmN4P9m7gwv+/ilAswf3YHKw69wJd/riD6XsDmNU1AFjUty1ur+iFq0t88Wkv+wZTCyuFYhx+mox+a+9h4dFghL0uAp/DgqkO1TzS4LGxdapnk481s6iSWcOcTU+EWoOXdMNFmlgHUCdlqfeCfTOVUsl5ZVhynDI2n9zFmjGorA+pEi29qLJOdYwUgaj65MVlE3KJL4doY/hR7hbQ02iawbksUqVURwtd/DzKBTYGGkgrrMB351822tT42MMSX9CrEj9disDtyOY1hzpa6uLCoh5ob66D3NIqTNrlj4xCaiIo+7MspT/tK+UXk93qa2stgbYaF5O62ODCoh5ytwvFJO5EZ2P5yTB4/XYb8w8H4nJYOsoFtad2WnwOhrmaY/1EdwR+PwDH5vpgloySDgBuRmah/9r78P3LD9+dD8fNiMwmTwAb4vN+juhqb4BygRiLjoW0ur8USZL441o0nr3KhwaPjT/HdVLq4jo5rwwTd/rjxPNUsAjg11EumNbVthWPWIWKd4PjASkoF4jhYqHTrGCAd4myKhGWnQyFSEJiuKs5xjcwpMkrrcKnhwLx/YWXqBRK0NPBCDeW9cKADqb13udNseZ6NEJSCqGtxsG2KV5Nan4k5dKre3U05V6mFaGoQghtPueNmHW/aaSK98ziSpRWiRhFU1phBfJKq5ik2M62yq95h9LWAW/KT0qW2bTf5uGn1GCez2Fj82QPaNArW9vvKaaKlvpvAtRz9Dax0FNHf+fqvz+rrzVPZS9FX5OHI3N9YG2gjuS8ckzfGwAHEy0s7icdnIXLJSLL0r2tEY5+2hV6GlyEphZi4s6nTfLntNRTx690+MymO3F4mVaE9mY60NPgokwgZpR7Lc1YLyt8OdgJAPDzlcg606xVNMxbbUoZGxvD2dm5wX88Hg/dunVDYWEhgoKCmPvevXsXEokEPj4+dT62l5cXuFwu7ty5w9wWExODlJQUdOvWDQDQrVs3hIeHyzW8bt26BR0dHXToUP+EJDQ0FObmrWMG/S6ircbFMvqC989/YxCfXcKsXbU3f/OpKO8iVSIx7kRlYeXpMHj/dhsz9wXgeEAq8mv4cD3+ph++HOzcqEdBRlEF/vo3Gt1W38H/LrxEcl459DS4WNLPAY++7gdjbaopNbO7HQyamPgGUAWyWEKii52BXMOopZFOymRl12mFFagSScBjs5q1slNWJcK8Q0EorhTBw0YPP410afQ+OmpcpnnQkOnkPplph7XMMeaUVOH6S+qE0xLJk8WVQsaHwsVCB9pqXGyY5A42i8DlsHScC05r5BGAxf0cMNHbGhIS+Px4CF7U4f+kDOa66jj9WTf0dTJGpVACEd1sqqsp5W2rD111LgrKhXUaWr6ruFvrYYwHtZ7hZauPG8t6YUk/B9gbaUIgkuBGRBY+Px4C919u4ZMDz3E8IEUuSUgKl81Cdwcj/DTSBY++7lur2fW6oAJHn6Vg3uEguP98E2O2PcZf/0bjQWxOnQ0vZWHTSZ6GmjxEZRTjt6u1fbJaCpIksf5WLPO7sWZsJ4WVjgKRBHseJmLYxocITimENp+DXdO9MV2V3qriP4Bsyu2cnq2Tcvs2+PlyBF7llsFCVw1/NJBSdy8mG4M3PMTtqGzw2Cx8P7w9Dn3SBab1rNm/Sa6HZzB/09aOd2vyCmESnbxnV8f9pX5SXdsaKp089z6gp8GDkRZVj8Znl0JbjQt7ujkXnlZU3ZRqgv/mC2lQzlto5g1zNYexNh/ZJVW4TieO2xtrMY2P9bfjmO+tIWQbakkNJD+/KWSVgAf9k3GrmcNMKaY6ajg6pytMtPmIySrBzP3PMadnG3jY6KGkUoQVJ8PqHV66W+vh5LxuzH3H7/RHan7dTayGGOVugaEdzSCivXyFEgl86J87f1qt2Bos7NMWU32o0JulJ0MV+rlQUc178Vexffv2GDJkCD799FMEBATg8ePHWLx4MSZNmgQLC8oMMS0tDc7OzggICAAA6OrqYs6cOVixYgX8/PwQFBSE2bNno1u3bujatSsAYNCgQejQoQOmT5+OsLAw3LhxA99//z0WLVoEPp+66N+wYQMuXryI+Ph4vHz5EsuWLcPdu3exaNGit/NkvCWmdrFBTwcjVAjF+PRQEEJSqQtPa4P/rv9HYbkAF0PTsOR4CLx/vY05BwNxJug1iiqEMNLiYYqPDX76qAPYtNn4n2Nd5VQUNSFJEoFJ+Vh0LBg9//TDtnsJKCgXwkpfHT991AFPvumHFYOcEJlRjJdpxdDgsfGpr32Tj18oluB4ACVHnt6tdVUKkbRSSirnBqpX9+yMNJjnSFlIksRXZ18gJqsExtp87JjmpbBRu7ShGlXPCl9+mQA77lWbjSfmliGjiPICOBGQAqGYhIeNntz31FSiaJWUha4aI/n3tNHH8gHUdOmHiy8bLWIIgsBvozvC15H6Pf3kQGCTTuayaPEpM+2ZMj8ftyKzailxOGwWfGmPjAexLRe7+yb4cogT1LlsBCUXIDarBCsGOeHOF71xdUlPLOjTFjYGGhCIJLgbnY1V58LR5fc7+HjrY2z1i5dL4JNCEATcrfVwY1kv8OlVFF9HI8zsZgs7Qw2IJCSCUwqx7V4CZuwLQKefbmLs9if4+0Y07sfmNKjcawhTHTWsm+gOADjyNAU3WsFMVSCS4KszL7CJ9sv6YUQHjHRr3JBYJJbgYmgaBm94gN+uRqFMIEaXNga4vsz3nVBIqFDxJpBNuR2u5Lrru8rVFxk4FfgaBAGsn+gupyaWUikU46dLEZi1/zlyS6vgaKKFC4t6YK6vvcJhLK1JUm4ZvjrzAgAwr5c9BjVjjTiFPufa1lEbS/2kfD9APykp7UypukrqUyStjx7F5SI2i6r5vJVUSkkkJKNueVMm57LwOCxM86FqoP0yg8qxXlYY42EJsYTE0uMhja6bSVObAeBxwtv337Qz0pQ7f391JgyZRS2j4LIx1MCRuT5UEEtqIRYcCcJfYztBi89BQFI+tvnVry5zMtPG6c+6MWqrcTueIE5J3yuCIPDbxx1hqMlDTFYJ1t+KQzd7Ku3yaWLrNaUIgsAvozpiQHtTCOg0wvjs5nt2/Vd4L5pSAHD06FE4Ozujf//+GDZsGHr27Ildu3YxHxcKhYiJiUF5efVF2Pr16zFixAiMHTsWvXr1gpmZGc6dO8d8nM1m48qVK2Cz2ejWrRumTZuGGf9n76zDmzq8N/7eeC11d6EGNVoKFNcNGwy3DdgYTJm7y2/fuTE2GAwYwzdgbIPhDqWlSqkBdXdJJZ7fH1eaetImFcjneXi2SpKbNs0995z3vO+jj+Kjjz5ivkcqleLll19GUFAQJkyYgOTkZJw5cwZTpkzpmyc+QGCxCHyzJATOFkbIqWxEWb0EANrtzN/LqFQq3C4TYfPFLCzeHI3wT87g+f1J+Du5GCKJHPZCPlaNdsf+daMQ89ZUfPTQUBxJKoZCqcIEX1ssjujY8F4iV+BQfCEe+vEqFm6OxrGbJVAoVRjlZYXNK8Nx8dVJWD3Gk9nBpxslS0e49UoldTqtDOUiCWxM+Xr1cqlqkKCYOtGpK+uY5D2bnvtJ/XwxC8duloDDIvDziuFaTVwDKWVYW4Nxmo3n7kAkkSPQUcgkBl7IrIBcocReqpn3qI6aebeoYxjapsH11ESfDk0bO4PLZuGnFcPh72CGygYJ1uy80eMmBw2HzcKHc4fhrZn+zOcmf3WhnWKINs+8OMiaUo7mRnhygjcAcn1DIleAIAgMdTLH6w/64+KrE3HyhfF4ZbovUxAnFdTiy5OZmPbtJYz9/DzePHwTx1NKWhWlfg5meHtWAAAgNqcaK0e548Krk3D5tUn4cmEw5g93hpO5AHKlCvF5Ndh0Pgurtsci5KNTmPz1Bbx0MAm/R+fiVlGdxh4IE3xtsX482ah++0gKqhokOvs5ZZaKMG/TVfwRXwgWAXw0dygeG+vZ5W3KRWJsvZSNCV9ewPP7k5BT2QgbUx4+mx+EfU+MMpiaG7iv+O1aLgBg5Sg3vaTc9jVFtc148zDZzHlmog9GUhd96qQW12Huj1exk3ruq0a745/nxiKwD82qu0IsU+CpPQkQSeQY4WHJrN/0lKIacnDV9r2tWapAPOU5eC/6SdEwTSkqRCaYUjb9RnldetuawFpL79LsygY0SOQQcFkYYqebpGZtWT7SDTw2C4n5ta3U4h/NGwZPGxMU14nx2p83u7RaUPdLO57Sfwl86jw10Zv5/5omGV48oLvkYF97M/y2JpLxifr8RCbeo9RZ352906Wq3t3aBH8+GcX4Uy3eEq21+t/alI9PKe/QXy5lgUv9/ONya1pZc+gaNovAxmVhCHOzQF2zjGnGG+ieQZNHamVlhb1793b6dQ8Pj3ZvBgKBAJs2bcKmTZs6vZ27uzuOHz/e6ddfe+01vPbaa9of8D2InZkAe9aOxOIt0SgXkX9gCXk1TNTmvUhdkwzR2ZW4ercK5zPLUVjTOjXD194Uk/ztMC3AHsPdLFtN/bZeykFyAelP8NmC9pL2krpm7IstwN6YfOYNi8dhYV6oE1ZHeXZYtCUV1CI6uwocFoG147q+IOyO3ZQ/2NIRrno1F6WbPp42JjATtExRaaVUT/2kzqSVMcbmHzw0FBEe2knCh1E/3472y/Ormpifz5sz/ZlC5HxGOSyNeSipE8PahMfEBfeWVMZzq/XvnM0i8N2SUDz43SUkF9TiuzO38eoD/h3dBYOZgIsda0bg4U3XcLe8Aet3x+G3xyJ7fRG0brw3Pj1OBk8U14kx98er2PpoBDMJpZtSN4vqUNUg0brw7E/WjffCnpg8FNU2Y19MPlaPafnbIggCfg5m8HMww7OTh6CsXowz6WU4k1aGq1lV5G1iC7AvtgAEQUr0x/nYYIyPDRaFu+Jsejku3q7A8/uT8NczY+BqZQxXK2MsinCFSqVCYU0zorOrcD2rCvH5NcirakJ2RSOyKxqZtU0+h4WhTkL4OwoR4GAGf0ch/BzMIBS0VyW8NN0XFzIrkFkmwttHbuHnlcN7tSZU1yzDpvN3sfNqLqQKJSyNufhmSWinfjgldc24mFmBk6mluHSnkilwrU14WBXlgTVjPFq9DxgwcD+QXdGA+LwasFkElkfqJ+W2L1EoVXjxQBLqxXKEulrgeUrVSyNTKPHzhSz8cPYO5EoVbEx5+HJhCJOCNVB4/2gq0kvqYW3Cw8Zlw7tNDOyOolqyRnS2bK2Kj82thlShhJO5gFlpuxeh/Toz2yilZAryPDBCyzoNAJKo1b0gZ/N+W3u0NeNjdogjDicUYefVHHy3NAwAqSbfuCwM83+6hlNpZfj9ep5Glg45A2B9DwACHIWY7G+Hc1QqXXR2FTZfzMIzk3y6uaVmhLhaYNuqEVi1IxZn0stgzGNjVrAjjt0swfP7k3D8+XFManFb7IUCHFw/Gqt2xOJmYR2Wb43BtlURGNVB87szHhjqgPnDnXE4oQi/XMqGgMtCs0yBm4W1Wl8zaIMRj41fV43Awz9dRV5VE57YFYd9T4zqU5P+wcigaUoZGBh42Jjg8NNRGPv5eQDAJ8fSUVwrxovThtwTFxrNUgXi8qpx9W4Vrt6txK3iOqj3OnkcFkZ7WWNKgB0m+dl1ur5YUN2Eb6i0vXdmBcDRnCxQFEoVLt4ux96YfJzLKAc9kHAQCvDIaHcsi+xa/USrpOaGOvcq9fBueQOuZVWBRQDLujEF7y10U6ptw4VWSvUkeS+zVITn95PG5itHufXIJJkulu6UN0AsU7Q6WXx5KhMyhQrjhthg3BBbWBjx8M3p27h6txI1lBpmyQhXnU2705ifUftVQCcLI3y2IBhP70nATxeyMNbHFqO9uz4pO5obYfvqEVi8JRrXs6vxxqEUfLM4pNceJktHuGL/DTJNtKROjIWbr+GbxaGYGeQIO6EAAY5CpJfU4/KdSswL0y5Kuz8x4rHx/NQhePvILWw8dxcLI1y7LJRWjHTHipHuaJLKEZNTjcu3K3HlbgVulzUguaAWyQW1+PH8XXDZBKPeSyupx/t/p+J/aql/BEEwTSpaSVnVIEFyYS2S8muRWEA2Q0ViORLya5GQX9vqWJwtjODnYAYPaxN42BjD3doE7lbG+GJhMBb8fA0nUkvxV1IRHg7TPh2yrF6MXdG52H09H3XNpNpuaoAdPp0fBDsz8jnJFUrkVjUyTdv4vBpklLaWqoe5WWBRuCvmD3c2FGQG7luOJJIN5vFDbGA3ADyUesvmi1mIzamGCY+N75eGtmrm3C4T4eWDyczA54Gh9vi/h4P0lu7bU/6ML8SBOHKY8P3SsC5DZzRBpVIxSqm29dlVyk+qpynJg4W263tt676eNAJu9qPJuTprojxxOKEIx1JK8NbMAObveJizOd6c6Y8P/0nDJ8fSEeFu1akScLyv7YCzOHhqojfTlAKAb07fxmhva50JDkZ7W2PzyuFYtysefycXY8YwBziZC5Bf3YQP/k7FV4tCOr2tpQkPe9aOxNrf4hCTU41V22Px88rhmOyv+dr/+3OGIjqrivFtBYDEfP02pQDAyoSH7atHYP5P15CYX4uX/0jGxqVhA2JleaBiaEoZ0BoXS2MEu5jjJhUNv/1qDo4kFuKZST5YGunW6cXcQKRCJEF8Xg0S8msQn1eDlMI6SNusynjbmmCMD9mcGONj3W2UrUqlwjt/3UKzTIGRnlZYHOGKsnoxDtwowIEbBcwkDQBGelphxSh3zBjm0O2ELquiASfTSMnvkxN67iUFAHtiSBXQZH/7Ln2udEFHyXsAKckGtFdKVTdKsXbXDTRKFRjtZY3353RvbN4RjuYCWJnwUN0oRWapiFnNullYi3+Si0EQwBsz/KljF8KOMrq8kVsDFoFuE/40RSxT4A4Vody2gKOZGeSIJRGuOBBXgBcOJOL4hnHdKpECnYTYtGI4Htt5A0cSi+BiaYSXp/duNSHYxQL7bxQg2MUcFsY8XLpdgaf3JODFqb7YMMUHE/1skV5Sj4u3KwZVUwoAFke4YuulbORWNWH7lRxsmDKk29sY8ziY5GfHqIZK68S4fKcCl+9U4np2FcpFklbqyn2x+dgXm4+Hw5wxzNkcw5yEGOps3uo909qUj8n+9kzRpVSqkF3ZiNTiOmSWipBRKkJGST2K68Qoqm1u9X5Cw2YRjELpxQPJOHGrFMEuFrA15UNoxIWZgANTPgem1H/ZLAIsgoBYpsDF2xU4kliE2JzWBp1zQ50Q6CjE1kvZpJqrshH5VU3t3i8JgjQrnehrhzkhjvDqQdPZgIF7CaVSxage5w/XvkE80EjMr2GGbh/OHQZ3a/IcrlCqsO1yNr4+dRtShRJCAQcfzR2GuaFOA64Rk1Faj3f+SgEAvDDFF2N14PNU2yRDM+W36NimwXWZ8pPSxeMMZHztyff7snoJapuksDDmwdnCiDlPRfagEZBMrcv1h5+UOkEu5ohwt0RcXg12x+TjJSoACgBWR3ng6t1KnEkvx7P7EvDvc2M7vFaYMcyBaUoplaoB0aAY4WHFPC+A/Dt+fn8ijm0Y16EauydM9rfH90vD8Ny+BPx3qxSBjkKU1IvxZ3whJvrZYnZw596UZgIufnssEs/sScDZjHKs2xWPrxeHYG6oZjWmuREXny8IxqPbY5nPJfUyCEhTvG1NsXllOB7dHoNjN0vgaW2CV3q5InwvM3i6BwYGFEOdyKaUn70ZZEolsisa8cmxdHx/5g5p/jfcGUHO5gOqEKkXy5BWXI/U4nrcKqpDArUq0xZHcwGivG0wxscaUd42Wk/P/rlZgou3K8BmEZg+1AHrf4/H2Yxy5iLRwpiLBcNdsCzSrZXxYXf8cjEbKhUZKzvEvueph01SOf6MLwSgf4NzAEgtok3OWxouzVIF40vmqYWUXaZQ4uk98SioboablTF+WtFzuT3pGyTE5TukIi7E1YKKuiejcR8OdWYaaSwWgSkB9owx/GR/e5354WSWiqBQqmBlwmtXyKrz/kOBiM+vwd3yBrx4MBk7V4/otqCZ4GuLTx8ehtcPpWDjubtwsTTCkhE9b6aFuJI/j5zKRiS8G4XP/svAr1dy8O2Z27hdLsLCcBf8fCELl25XDJiCS1O4bBZenu6H5/Yl4pdL2Vg5yl1rzzYHcwEWRbgyq3kF1c2Iza1GXG41ozADSNUErZwgCPJvwM/eDD52pvC2NYWPnSm8bE1gzOOAxSLgY2fa7r2irkmGzDIRMstEyK9qRG5VE/KrmpBX3QixrHWj6GRqGU6m9i5Z52hSMY4mFbf7vIDLQpCzOUJdLRDqaonR3ta98rozYOBeI6mwFkW1zTDlczBtkBv7N0jkeH4/6TszJ8QJC4aTF4Y5lY145Y9kxjdpkp8tPlsQPCCS9drSIJHj6T0JEMuUGDfEBs9N1s2qEt14sTXjt1KFVjZImECVe9lPCiAbCHQT6nZZAyI9rVp5FLlaaTcElcgVSC8hVVf9kbzXltVjPBCXV4O9MXl4ZpI3o5YnCAJfLgzBjO8vI7uiEe/+lYqvFgW3uwaaora+mlvVOGCGNk9N9Mbjv8UBAIQCDgqqm/HOkVv4fmmozq7jZgU7QiIPwct/JCNNLWDozcMpCHOz7HJALuCysfmRcLzyRzKOJhXjhQNJaJDIsWKkZtcw431tsXKUG3ZfJ2v4y32oVhvtbY1PHw7Cq3/exI/n78LdmrRvMNAeQ1PKQI8Y4WGJfbH5YLEInNowHn/GF2LLpWzkVDZi57Vc7LyWCxdLI0wNsMdob2uM9LSChXHfXKg0SxXIrmxAdkUjsioakFkqQmpxPZOKog5BAH72ZhjubolwN0uEu1vC3dq4x2/CtU1SbNiXCICcNnz8b0s0+wgPSywf6YYZwxy1XmMpqxfjcCLZSHpqYu9UUn8nFUMklsPd2hjj9FwgicQy5FKNP3WlFP27MBNwYG6k+STmg79TcT27GqZ8Dratiui10X6QsznZlCoiT5Cn0spwPbsaPA4LL033bfW9Y3ys9ZJWqL7e2NXrzpjHwablwzF30xVcul2BzZey8PTE7ovpJSPcUFDdjB/P38VbR27B1oyvlfRZHV97M/A4LIjEchTVNOPd2YHwtTfFO3/dwrGbJciiFF9VjVKkFtcjaAAUkdowK8gRP1/IQlpJPX46fxfvqEUmawtBEHCzNoabtTEWhrvg7VkBGPnpWTRJyUn61AB7pBbXoaROzHhItcXWjA8ncwEczY3gZGEEJwsBbM34MDfiQmjEhbUpDw/aOMCIxwabIMBiASyCQIVIgttlIpxMLWNesz3BwpgLIy4bZgIObM34sDXlw9aMD2cLI3jZmsLTxgTOFkaDqvlowEBfczadbAhP9LMd9Cus7x9NRX51E5wtjPDJvGFQKFXYeS0HX53KhFimhCmfg3dnB2BxhOuAGkrSqFQqvHHoJrIrGuEgFOC7JaE6e/+iVbFtL67p1b0AR+GAW2HUB772piiqbUZmmQiRnlYQy1vSerV9TaQV1zNehm4DIO37gaEOcDQXoKROjH+TS7AgvEX5aGnCw/dLQ7Fs63UcSihEpKdluyGg+uru6bQyrJ8wMJpSk/3t4GdvhswyEUZ4WOHC7Qr8nVyM8b62WBiuO3Xn/OEuaJYp8PaRW8znRGI5XjyQhH1PjOoyiZvLZuHbxaEw5XOwJyYfbx+5hfpmeSuz9q54c0YA/kspRVWjFPViOSpEEtia9c3f46IIV+RWNWLT+Sy8dSQFLpbG3dpw3I8YmlIGesQkPztw2QTSS+pxu6wBSyPdsDjCFVfuVuLAjQKcyyBNwekGFUBOSPzshfB3MIOnjQkczAWwFwpgL+TDlM/p9mSlUKogEstQ3yxHXbMMZfVilNSLUVrXjJI6MUpqxciramSS3jrC2cIIgU5CDHUSIszNEqGuFlo1RTqjqkGCo0nF+EitCQWQO8VzQ52wLNKN2bXvCbuicyFTqDDCwxLh7j3fg1apVPidMvBeMdJN7xeTtFeSE7UqR8PEJmvRAPw9Ohd7YvIp/4fQXv08aWhfqVtFdZDIFYxKat04r3ZKKFrZBQBWOmyw0ibnmqQR+TmY4cOHhuL1Qyn4+tRtjPCw0sg49OXpviiubcbhxCI8vScBe58Y1SO/AC6bBX8HM9wsrENaST08bEywZIQbPG1M8eTu+FZ+Qhdvlw+6phSLReC1B/2wescN7IrOw2NjPXvl3aaOmYCLrY9GYMW2GADAE+M8MdLLGhUiCVKL63C3vAFZFY3IKm9AVkUDqhqlqBBJUCGSILmwvRm/rrA05mKEhxVGepHDgyH2puCwWF0WhwYMGNCcs+mkX8uUgIFl8q0tx1NKcCiBTN/8bmkoimqa8cbhm4yVwxgfa3y+IHhAp2r+fj0P/1KJvZtWhOk0kIMxOe+kKTXW5/64CPV1MMP5zArcoXylJLKeJ53RyrvhbpYDosnJZbOwcpQ7vjyZiZ3XcjF/uHOr4xrpZY1XHvDDFycy8e7RVAxzNu/QKxQATqaWYv0EzRoq+oYgCDw10RsvHEhCUkEtnprgjR/P38V7R29huJuFThVdK0a6o1mqwCfH0pnPxeZUa2SwzmIR+GTeMAiNuPj5QhY+P5GBerEMrz3g1+3rw4TPwc8rw7F4SzQAYNP5u/jgoZ7Zf/SEl6f5IbeqCcduluDJ3fE4/HRUjzx172UMTSkDPcLShIfpgQ44llKCTefvYtOK4WCxCIz3tcV4X1s0SxW4kFmOq1mViMmuxp3yBhRUN6Oguhln0tuvkRAEYMxlw4jHgRGPXMdSKslGlEKlgliqgEgi1/z4jLnwsjWFt60JhtiZYaiTEIFOQp2qtURiGc6kl+HfZHJdT64mUbYx5eN/84Mw0c+212kuYpkCe2NItcPj3USwd0dSQS1Si+vB47CwKFz/8tFbVFMqsM1JOa+KVIW4W2m2unftbiU++Ids+L32gD+mBOhmBWIYdVyZpSJsu5yDvKom2Jrx201eVCoVDqqtX51JL9NZw+UWvd7YSeHSlsURrojOqsJfScXYsI/0l+pOMUYQBD5fGIyqRiku3q7AYztv4M8no7RaH6UJdBTiZmEdUovrmPTBSE8rHH1mDJ7YFcc0pr46dRvPTPIZEIWkNkzwtUWkpxVTJH00d5jO7nuMjw2WRbpiX2wBXj90E/89Px62ZnxM9LPDxDZpdjWNUhTVNqOY+ldSJ0ZxnRiVIgnqmmWoF8tQ1yyDSNz5+yKLIJVT6u9Nq0a7w8XSGH4OZvB3MIOtGX/Q/Y4MGBgslNaJkVEqAosAJvoO3qZUeb0Ybx0hPZgeG+OJ8xnl+OVSNuRKFcwEHLw9MwBLRgxMdRRNckEto15/Y4Z/rwZ8HVHcQfKeSqXCFcZPylanjzdQ8aMGhrQ1gUzNd7CkrpkJ/tGERCrcY7j7wEn5Xhbphh/O3kFKUR3i82raGWY/Od4b8bk1OJtRjqf3JODvZ8d2OPxuG1zS38wOdsRXpzJRWNMMG1MeRnlZ4Xp2NZ7fn4RDT0XpNKV77TgvNEsV+JrypgOAb0/fxhgfG4R24x1GEARef9AfQgEXn5/IwM8XslDfLMPHc4d1O2iP9Gz5Xe28lotXH/CDSR/5ILNYBL5eFILi2mYk5teSfq9PjzHYHahhaEoZ6DHPTfHB8VslOJZSgqV3KjBO7YRrxGNjRpAjZlAXrTWNUqSX1iOzVITMUhEKa5pRUteMsnoJGiRyqFRAo1SBRqmis4druW9qncROyIejuREczQVwMBfAydwILpZG8LY17fVaV2c0SOQ4m16GYzdLcOF2BaTy9hOgmUEO+GlFuM4e8+/kYtQ0yeBsQa5D9gZ6lWd2kKPefkbqpHWSvEcrpdysu5+o5lU14um9CVAoVXg4zLnXJu/quFoZwUzAgUgsx5cnMwGgw5NUTE41E3EMkE2pF6e1Xu/rCa39Eiw0ug1BEPjk4SDcLKxDdmUjXv4jGdsejej2ZMxls/DTiuFYvvU6kgvrsGp7LA49FaW1Zxr9u6TXDmlcrYxx+OkorNwWwxRbT+6Ox/dLwwbVygpBEHhhyhAs3xaD/TcK8OwkH52mZb05MwDnMyqQW9WEb8/cxlszAzr8PksTHixNeIyarzPoop9u4CuVKqhU5Hswn8MCQRA4n1GONTtvgM0i8Mhojx41Iw0YMKA9Cfmk0sPfQdgn51x9oFKp8OqfN1HbRKZwnkgtZVbVZgxzwIcPDR3wiYK1TVI8vScBMoUKDw516PWAryOKOljfy6kk1fs8NqtHJt+DEfUEvozS+lZDkaT8WjgGad6UUldKDRSsTHiYF+qMA3EF2HEtt11TisUi8PXiEMzeeAV5VU149Y9kbHkknGnY+juYtUupHQhw2CysG++F946mYtuVHOx7YhTm/HgFKUV1+OpUZqe1Sk95drIPmmQK/EylisuVKrxAGaxr0ih6aqI3hEYcvPPXLeyJyUeDRI6vFoV0KwR49QE/pt7/8mRmn6qlBFw2tj4agXmbriKvqgnrf4/D7rUjdZbkPdgxNKUM9Bh/ByEeGeWOXdF5eOlgMo48HdWpbNvShIcobxtEebf3MGqUyNEolaNJokCTVIFmmQIEAbAJgkmFMuKxIRRwYCbg6rRbrwl1TTJcuF2OE7dKcS6jHBK1RpSXrQlmBzuhqkGCPTH5sDTm4tOHg7q4N+1QqVTYeTUXAOljxOmF6qpBIse/N0sAAEsjdZMc1x10LHCAY+tVO9pg3r0bjwCRWIa1v8WhtkmGEFcL/G9+kE4nsQRBYJiTOaKzqwCQDZeFHaQj7biaA4AswE+kliK1uB7Ftc29Xu3KKBExfgnaGICa8jn4cflwzPvpKs5llGPblWysG9+9DNyEz8H21SOwcHM0ciobsWp7LA4+OVqrFVZa9ZbWpikFkL5Xh56KguebxwGQBtuLt0Rj88pwna3B9QWjva0R7m6J+LwabLmUjXd74S3VFqGAi/97eBge/y0O2y5nY8YwB4T1ouBmswiwWV0XNJP87TA1wA5n0svx2X/p2LZqRI8fz4ABA5qTQF9Uu1v074H0gt0x+bioZgxcWNMMeyEfH80dhgeGOvTjkWmGUqnCSweTUVTbDHdrY3zRgQG1LiiuI5tS6ue6K9TqXri7JYx498eFp4+dKVgEUNMkw38ppa2+llhQywyru6O4thml9WKwWQQTsjJQWD3GAwfiCnDiVmmH6i8LYx5+WjEcC3+Oxqm0Mmy7nIMnxpMD1elDHQZkUwoAFoW74vszd1BY04yE/Bp8sSAY636Pxy+XsjHGxwYTfHWn9iMIAq894IdmqYKxecmtasIHf6fiy0UhGt3HipHuMOVz8PJB0gC9USLHj8uHdzkIDXOzYP7/t+hczA52bNdY1Cc2pnzsWD0C83++hhu5NXj3r1v4fIF+3pMGG317dW/gnuPNGQHwszdDhUiCR7fHMvJlbTDhc2BnJoCHjQkCnYQId7fEcDdLhLhaYJizOQKdhPC0MYG1Kb/PGlI5lY3YdjkbS7ZEY/gnp/H8/iT8d6sUErkSHtbGeHaSD068MA5nX5qAR0e74+9kMpXq1Qf8dboieCO3Bmkl9RBwWVg6onfrdsduFqNJqoCXjQlGeOh/6qRQqnCnnDzxtvV/0kQpJVco8czeRNwpb4C9kI+tj4TrRXHDVXtNvTc7sJ3iKL+qCafSyJXTl6f7IpxqIJztYA1VW5KpWNoQVwutT0iBTkK8P4dslnxxIpOZyHeHtSkfux6LhK0ZH5llIjyxKw5iWfcKRRp/BzMQBFBO+R21hSAIrI7yYD6+WViHORuv4DrV+BsMEASBDVOGAAD2xOShsqH98+wNUwLs8XCYM5QqMnlGrui554amvDkzABwWgTPp5bhGXSgZMGBAv9B+S6GuA0fpoQ13yxvw7l+3Wn1u+Ug3nH5pwqBoSAHA5ktZOJdRDh6HVAvrKua+LWX1pJ+pvbDFp+oys7p3b6fuqSPgsuFhTVoz7I4hPUzplOVEDesUoEUlFeBoBmPewNJQBDgKMcqLTBb8PTqvw+8JdrHAe1SN9tmJDNzIrQYATFdL4KxulOr/YLXAiMfGmjEeAICfL2RhWqA9HhlFBvu8fDC5w5qvNxAEgffnBLa6vvkjvhDHqAG6JswNdcYvj4aDz2HhTHo5Ht0ei3qxrNPv91O7HlGpgNcP3dSqBtYFQ+zN8MOyMLAI4GBcIdOUu98xNKUM9AojHhs7HxsBJ3MBsisa8fBPVxGfV93fh6U1TVI5LmSW45N/0zDl6wuY9NUFfHIsHTE51VAoVfCzN8PTE71xbMNYnH9lIl55wA/+DmRa2hcnMiASyzHMWYglvWwctWXnNVKh83CYS6+bXQcoT6TFfeT7kF/dBLFMCT6HBXfrFu8ohVKFwhqqKdWJUkqlUuH9v1Nx6XYFjLhsbHt0hF7WA1QqFS6pTYBHerU3Iv0tOhcqFRkp62NnhqlUQXGaMq/tDckF5AVLsIare21ZHumG2cGOkCtVeG5vImqbNCtwXK2M8duaSJjxOYjNqcYLVMS3JpjwOUyBSZu0t4WOveayCQQ6ClHVKMWKbTHYcTUHKpVmj9PfjB9igxAXc4hlSmy9nK3z+393diAsjLnIKBX1SUHibWuKlVRx+cmxdI1/3wYMGOg5uZR/4pBBuDIbn1eDqd9cZD72dzDDH0+OxqcPB+mtsaNrrmdX4StqVefDh4Z2ajrdW5RKFSobyPOvnRlZq8gVSlzPIocxY/WcdDzQGGJPvt7plc8nxpEqoZuFda08prqCHrSFD6DVPXVWR5EroPti8zttaqwY6YZ5oU5QKFV4Zk8CKkQS5mcDANFZA29Y98goD5jw2MgoFeFCZgXenkWKDyobJHjlj2QodVw7EASB/3s4CHNDnZjPPbM3QSuRw2R/e/z2WEtNu2TLdZSLOg69sjblw8a05Xoqq6IRG8/d6fkT6CGT/Ozw5gxyJfLjf9Nw+U5FN7e49zE0pQz0GkdzIxx8cjR87U1RVi/Bos3R+OTfNNQ1dd6p7m9kCiUS8muw8ewdLNkSjZAPT2H1jhvYdiUHWRWN4LAIjPGxxvtzAnH5tUk4+eJ4vPagP4Y6mbdq6CQV1OJgXCEA4MOHhuk0saq4thknU0k1jrrypCfcKRMhIb8WbBaB+cOddXB03ZNJyZOH2Ju2+rmU1DVDplCByyY6Nbz89UpOq6Q9faW4ncto3Vhqq1hpkMgZg3N6ekT7ekVnVULUxTRGE2ilVGgPpekEQeB/84PgYW2MotpmvHxQ84Ih0EmIXx6NAI/NwonUUrz/9y2NG0Z0Yd/WV4pmpJcVWAQgU6iwcXkYU5R9+E8aXj6Y3OdTqZ5AEASem0yqpX6PzkONjieaViY8vPGgPwDS4LOkTnuVqbZsmDIEZgIO0krq8e/NYr0/ngED9zNimQLllLJgIMTZa0pNoxRvHUnBgp+vMZ9bP94L/z43VqO014FCuUiM5/YlQqkC5oc591pt3hXVTVIolCoQBJgL3uTCOogkcpgbcbv1BrzXUFejcNkEHg5zhlDAgUSuZGrD7kgYgCbn6kwLtIezhRFqmmQ4mlTU4ffQDZchdqYoF0nw/P5EcFgtl95nM3qvuNc15sZcrKAGWD9fyIKAy8YPy8LA57Bw8XYFtlN2FrqETZmAT1VLKB33xXmthmejvKyxf/0o2JjykV5Sj4U/RzOhSm2htzfoen7zxWwmdKgvWTvOEwuGu0CpAp7dm4icyo6P937B0JQyoBNcLI3x51NRzB/Xtis5GP/lefxw9k6n3eq+pKZRirPpZfjiRAaWbIlG0AcnMf+na/j69G3E5FRDplDB2cIIS0e44sflYUh4bxr2rB2FNWM84dpJMalUqvD+UVLWvmC4C8J1fOI8GFcAhVKFkZ5W8HMw6/4GXUCrpCb72zFTPH1D+0n52bcxOaf8pFwtjTts4p1KLcX/HSejYt+eGYDpeloRkMqV+D+1SFoArczMAeDPuAKIJHJ42ZpgAmXk72NnCi8bE8gUKkaa3xNEYhmyKhoA9FwpBQBmAi5+XD4cPA4LZzPKsen8XY1vO9rbGt8tDQVBALuv5+OHs5rdNtCR/J2mlXTclBIKuMxzSsyvxbdLQvHu7ECwWQQOJxZh/k/XOi0WBhJTAuwQ4ChEk1SBvVRIgC5ZHOGK4W4WaJQq8Mm/6d3foJdYmfCwnvK1+OHsHYNayoABPUKvcxlx2bAwHvjKIqlciW2XszHxqwtM4i8AvDMrgFz/7WWScF8iVyjx7N5EVIgk8LU3xScPD9OrQry8nmw+WpvwmJ/TVWpNOsrbWqcDy8GAn0NL3RfkbA4jHhuhlOJJkxU+sUyBVKpJMJBMztVhswisiiKbNzuu5nY61DPhc/DzyuEw5rFxLasKX5/KZL52VgeKe33w+FhP8NgsxOZWIy63Gn4OZniH8tb8/ESGXho4HDYLm1YMZ5T4CqUK63+P1+o+hjqZ49BTo+FqZYT86iYs+Dm6Q0U/3ZTytjXBzCAHKJQqvPbnTY1VfLqCbFoOQ5ibBeqaZXhiV1yXq4f3OoPnDGNgwCMUcPH14hDsWD0CvvamqGuW4ZvTtxH1v3N4Ylcc/ogrQJWOvVnaolKpUFzbjLPpZdh49g6e2h2PiV+eR9jHp/H4FKxEFAABAABJREFUb3H46UIWYnKqIZYpYWHMxYxhDvhk3jBcfHUirrw+CZ8tCMbsYCeNpOl/JRUhubAOpnwOXp/hp9PnoVCq8AelwFo+snem5FK5EocTySnOkgj9TQrbQk/D/Bxary3kdeEnlVJYh+f3J0GlImXP+kjIodkVnYvsykbYmPIQQimxkgpqma8rlSpmrWrNGM9WXlPMCl9az6dcKUV1UKnIpB4bU373N+iCYc7m+GTeMADAN2dut1pJ7I6ZQY74YA6ZPvLtmdv4TYNVMjqBryOzc5oob3IV8trdShAEgcfHeuL3xyNhZcJDWkk9Zv9wBSduae4b0B8QBIF148nX4M5ruZDIdavwYrEIfDIvCCwCOJZS0spMWF+sivKAuREXWRWNBrWUAQN6pJlShBrz2APaxFalUuG/lBJM+/YiPjmWjrrmlouiOSFOWDtOd4m3fcWXJzMRm1MNUz4HP68M17snET18tVUb+l25D/2kaNQTl+mmUpirBQByUNUdKUV1kCtVsDXjw8Vy4IakLIlwgxGXXHW7nt25dYmPnRk+WxAMAPiJSpsD0OpvbSBhLxQwWxWbL5LHu3KkG6YH2kOmUGHDvkQ0SuQ6f1w+h43/nh/HfHwmvQy7onO1ug93axMcejIK/g7kyuHSLdfbeZrSytX86iZ8+NAwWBhzkVZSj+1XdK8C6w4Bl40tK8PhIBTgbnmDVnYa9xqGppQBnTPJ3w7/PT8e3y0JxXA3C8iVKpxOK8Orf95E+CdnMOXrC3j5YDK2X8nBuYwy3C1vQJNUrtHqkEKpQoVIgtTiOlzILMfBGwX48mQGntmTgFk/XMaw908i6rNzePy3OHx9+jb+u1WKXEqZ421rgsURLvh8QRDOvDQBCe9Mw88rw7FylDvcrU20KhrFMgXjU/DMJB+dq48u36lAUW0zzI24vTYTPZtehupGKezM+Jjop7vkjO6gVUedmZy3Td4rqWvG47/dQLNMgXFDbPDBQ0P1VsiX14vx3Rlyh/yV6X4YR6mgktSKpfOZ5citaoJQwMGCNiuPtOT3XEZ5j02qaT+pUKpQ6y2LI1yxLNIVKhWwYX8iCqifsyasivJgjL3f/zsVh+ILu/x+fypNMbeqsdNVPNpX6mpWJfO3HeVtg2MbxiLc3RIiiRxP7k7AJ/+m9fl0ShtmBTnBXshHhUiCf5J130QLdBIy3hQf/J0KqVy/PwszARdPjCMfz6CWMmBAf8jk5N9WdxHl/UlyQS0Wb4nGU3sSkFfVBFuzlkAZB6EAH8/tu7h0XXHiVim2XCJ9AL9YGAxvW/37edEG0LZm5ICpUSJnPJHuNz8poPW6qg31MwmlUs8S1YZ/nUGbnIe7WQ7ohq65MZdp3tAesJ3xUIgT1nYwaB2oPpvrxnuBIIAz6eXILBWBIAh8viAYDkIBsisb8eE/qXp5XAGXjbSPHmA+fu9oqtZBOXZCAQ6sH41IDyuIJHI8uj0Wp1JbkiDpDZiCGvI97+2ZpLfTd2fuMJ63fYmdUMCYtZ/LKMeXJzO7v9E9yMCKMzBwz8BmEZgX5ox5Yc5IL6nHiVulOJ1WhrSSemRVNCKrohGHElrfhsdmwdyYC1M+ByyCvA8CBCRyBRqlCjRLFWiUytHd+zebRcDH1hSBTkIEOgqZ/1qa6C4Vb8fVXBTXieFkLmC8hnQJvW73cJhzrxPnDsSR97Ug3KXP5PcSuYLZjfZ3aL2+V1RDeue4WLYULQ0SOR7bGYdySmq/acVwvRbyn/2XgQaJHCEu5lgc4cp4S6kXS/Te/LJIt3ZT1uFuFrAy4aG6UYqYnGqmAaMNN5nkPd15Tbw/ZyhSi+txs7AOT+9JwB9Pjtb49fPi1CEQiWXYcTUXr/6ZDBM+Bw8O67ghamvKh4UxF7VNMtwtb+jQLyPc3RI8Dgtl9RJkVzYyFwaO5kbYv24UvjiRga2Xc7DtSg4SC2rx4/KwTj3G+hMeh4XVUZ74/EQGtl3OxoLhzjovkl+cNgR/Jxchp7IRu6/n4TE9KgQBsgm59TLpn3c2vUxvK7IGDNzPmArI80ZvvQf1QWapCN+evo0T1IWagMvCunFeCHAU4qk9ZHH25aJgnaYJ9wU5lY149Y9kAMDasZ6YGeTYJ49Le4fZUQ2YmJwqyJUquFoZtQp6uV9QT6w14ZE1SCi10p9T2YiaRmmXNXkC1ZQa7m6ht2PUFaujPLAnJh+n08pQUN3UqeUHALwxwx/ppfW4erelyVJcJ4azxcCrfbxsTTFjmAOOp5Ri88UsfLskFJYmPHy3NBTLtl7HwbhCjBtiizkhTt3fmZYY8zi49sZkRH12DgCw9Jfr+Pe5sVp5s5kbcbHr8Ug8uzcRZ9LL8OTueHw2PxiLR7gy6rtC6npkYbgL/owvRExONd4/moptqyL6vBka7GKBLxYG4/n9Sdh8MQt+DqZ4OMylT4+hvxm44xsD9wwBjkK8OM0Xx58fh/h3puLXVRF4brIPHhzqgABHIYypE5ZUoUSFSIKcSrJpdbusAZllIuRWNaFCJEGDhGxIkUaSfAQ6CjHB1xYrR7nhnVkB2PZoBM68NB5pHz2Aky+Ox7dLQvHEeC+M8bHRaUOqulGKnyjfnpen+/W6adSWygYJsxbW2zS/cpGYWeVaFN53b25Z5Y1QKFUQCjit4pEBMIbOjhYtCTUb9iUivaQeNqY8/LpqhF6TfW7kVuNwYhEIAvho7jCwWAQzwcuqaEC9WIbMUhGu3q0CiwAeGe3e7j44bBYT6/tfD1fQkqkGWG/8pNoi4LLx04rhsDTmIqWoTqtJFkEQeHdWIBaGk75wG/YldpoGQhAEo4C7U96xaamAy0YE5bN27W5r7y0um4W3ZwViyyPhMBNwEJ9Xg1k/XNFq7bAvWR7pBmMqjUa9mNQVZgIuXppGrgB/f/aOximKvXm8ZZHkWvCOq7l6fSwDBu5XrKiGTqNUgSap7lddekJ2RQM27EvEg99fwonUUhAEMH+4M86/MhFrxnji/b/Jc8bqKA9GQTxYaJYq8NTueIgkcozwsMTrM/z77LEr2jSlrty5P1P3aGJyWlbZCqgLf0sTHrwov6DEgs59pVQqVUvy3gA1OVdniL0Zxg2xgVIF/H49r8vv5bBZ+HHZ8FafS+/CBqG/eWqCDwDg7+RiRn0/yssaz04iP//W4RStVPna4GRhhF9XRTAfz954pdPE584QcNnYvHI4FlF17WuHbmLzxSymcVjbJINILGO8nbhsAmczypmQqb5mbqgznp7oDQB441BKv5iv9yeGppSBPsXalI8pAfZ4ebofNj8Sjv+eH4fUDx9A6ocP4Oobk3Fsw1gcXD8a+9eNwt4nRmLP2pH488nROL5hHC68MhGxb0/BnU9mIO6dqTj+/Dj89lgkPpkXhLXjvDA10B4+dmbgc3TbJGrLD2fvQCSRI9BRiIfDdJ9kdyi+EHKlCiGuFghwFHZ/gy74O6kYShUQ5mYBrz6QsNPQJuf+DsJ204biWtJ7wcnCCCqVCp8cS8e5jHLwOSxsfTSiyylTb5ErlHj3L9KcfukIV4RQq3M2pqRvgUoF3Cyoww5KJfXgMIdWii51aBXRydQyrSNyy0ViFNeJwSJIE1Bd4mJpjO+XhoEggH2xBUx6oCawWAQ+mx+EGcMcIFUosW5XPCOjb4svFWucWdrQ6f3RvlKdNXIeGOqAf58bi6FOQlQ3SrFqRyy+OX17wK2UmRtzsZjyY9NH8gwALI5wgZ+9GeqaZdh4TnOz+p7y6Gh3sFkEorOruvQGM2DAQM8wN+YyTYr+/hvLqmjAyweTMfWbi/g7uRgqFTAzyAEnXxiPbxaHwkEowNt/paBcJIG3rQne6MOGji5QqVR4+68UZJSKYGPKx4/L9au2bgvtKcU0pe6SA5axPoOrsacrYtWaUuqvfTpJLy6386ZUQXUzKhuk4LIJJul3oENvTOyPze/Wa8nShIfNK1saU2t3xenz0HpFkIs5xg2xgUKpwrbL2cznn58yBMPdLCCSyPH8/sQe21h0x5QAe6xQ89Wd9cMVZJRq917KYbPwxcJgrJ9AeuN99l8Gvj9zmwmfKKgmm6Y+dmZYP55sCH3wdyoa9OCZpQmvTPfDZH87SORKPLk7XufJzwMZQ1PKQL9DEARM+Bw4WxhhqJM5Ij2tMMrLGlHeNhjjY4MIDysEOgnhYWMCOzNBvybA5FU1Yk8MOQl5a2ZAK/NrXXE4gTQl10V88V9UTK0+mmddQftJDbFv3QhTKFUopRKJnMyNsO1yDmMm/u2SUITpOWVlT0w+MkpFMDfi4tUHWhfdtLfTuYxyHKGM4R8b0/kaVZS3DcwEHFSIJIjXIE1GHdroc4idGUz4ut+iHu9ri5en+QIA3jl6S6tpC4fNwndLQzFuiA2aZQqs2RHb4QUVo5Qq6zzeOYqaEl/Pqeq0cedubYJDT0VhWaQbVCqy6btyWwxK6/o/tVOdVVEeAIALmeUoqm3W+f1z2Cy8PYv0NdgVnYtcPUcDO1kYMY1VTcztDRgwoD304ONalu4VlpqQkF+DdbviMPWbiziUUAilivREPLZhLH5aEc68j/+VVITjKaXgsAh8tyRM5wpwfbMvtgCHE4rAIoCNy8JgL+yblGGaShF54Whjxkd5vRi3yxpAEC2DmfuNmJyW13taST3jmxTpYQWAVKx3Rnw++bVhzuaD5nU40dcOHtbGqBfLcTiha09OAJjsb9/q44EcOvLUBLJRs/9GAbOWyWGz8P3SMJgJOEjIr8X3Z+/o7fHfmxPYyux++dYYZvCtKQRB4M0ZAXhrJln3b72cg9omcq26Qm3V9NnJPnCzMkZpvRjfnr6tg6PXHhaLwLeLQ+FmZYzCmmY8f+D+MT43NKUMGNCC78/egUyhwrghNnpJVMkorUdmmQg8NqvXXgh3ykS4VVQPDovA7GDd73x3RVY5qZ4ZYte6KVUuEkOhVIHDIhCdXYn/O54OAHhrpr/evR8qGyRMFO8rD/jBqs1KJ90Q2341BxK5EsEu5l1Kx3kcFqZRhufHU7Rb4WvxS9BfE+7piT6YGmAHaQ+mLXwOG1seCUeEuyXqxXI8uj0G2RWtFVFD7MiLmdudrO8BVBQ0l016T1V0rqgScNn43/wgfLM4BMY8NqKzqzDj+0s404t0Q13jaWOCKG9rKFXAgdj87m/QA8b72mKiny1kChU++y9DL4+hzqOjyNXUf28WD5j1IgMG7iXoNe8jiUV9dmEhVyhxKrUUizdHY/5P13AqrQwqFTAt0B5/PTMG21ZFtFKglNaJ8d5Rcm3v+SlDEOQyONQpNDcLa/EBtXb42oP+GN0PjaDaZvL8amnMw9Uscl19qJNuvUwHC9WNUtwua2j1cVk9eeE/wpNsSiUX1HUakkKrrCIGweoeDYtFYA01xNxxNbdb9TwdJkDz6h83kV4yMBXLo72tEeJiDolc2WqA5WpljE8fDgIA/Hj+LqL11Hjnc9jYvnoE83F1oxTLt17H3S5qz85YN94bXy0KAVtNUED73AJkLfoRFe6w42pOv63PmRtzseWRcAi4LFy6XYHvzvRPg6yvMTSlDBjQkKyKBvxFKWheme6nl8f4K5Gclkzyt4W5Ue98lWiV1EQ/23YNGH1Dm5y3XRksphQmcqUKr/15EwApe36iDyKnvziRgXqxHEOdhFge6dbu621T8J4Y59Wt0SGzwnerVKsElTiqKaXPoovFIvD14lC4W5PTlmf3JWglsTbmcfDr6hEIdBSiskGKldtiWimE6PW9gurmThsaXDYLYZRfl7qcvzPmD3fBP9Q6X02TDGt3xeGDv1M7LV77muWUjHz/jQK9JQa+NTMALAI4kVqKlEL9FkSRnlZwszJGo1SBU/3koWDAwL3MjCBHWBhzkVPZiINxmq9S94SyejF+OHsH4744j3W/xyM2txpcNoHFES4489J4bH00ot15TqVS4fVDNyESyxHiaoGnKD+TwUJNoxRP7U6AVKHEtEB7rB+v/1qiw+OgVBcWxlxco9bVexKAci9An+t97U3hRynx0krIc5mHtTFsTHmQKpRI6eSCn/ajGuk5uFRmC8NdYCbgILuyERdul3f7/eo1frNMgbW/xTHeZAMJgiCY94XfruW2WmubE+KExREuUKmAFw8k6W3VzNfeDO/ODmQ+rmyQYtnWGGR1MezsjIXhLtiyMpz5+K0jKahragmjmOhnh1nBjlCqgLePpPSbSinAUYjP5gcDADaeu8t4Dd/LGJpSBgxoyMazdyjpux0jydclSqUK/ySTTam5ob1bt1MqVUyDa14fr+4plCrkVZHGh542rVNnaD8pAJApVJgV5Ih3ZwXqPeUiIb8GB+NISfVHc4e2mpLQDHVq7d81o5PkOXXG+9rCmMdGcZ0YyRo2EMQyBdNsiPDQ7yTQ3Iicthjz2Lh6twqfHEvX+va7Ho+El60JiuvEWLH1OrNWZ23KhzXV7Lxb3nlhMEIDub463ramOPx0FB6nEuh2XsvFwz9d6/Ix+orpgQ6wMeWhXCTB2fTui86e4Gtvxvz963s6RhAEE2d9SIOVAwMGDGiHKZ+DZyaSpsAf/5umc28psUyBYzdLsG5XHKI+O4dvTt9GSZ0YlsZcrJ/ghcuvTcYXC0PgQylb23LgRgEu3q4Aj8PC14uC+9UeQVuUShVePJiEotpmuFsb46tFIX2emAWQjT06nMLCmMesakZ5399NqZGe1gik6qrUIvJ1TxAEUxN0NKiqEEmQXdEIgmipHQYLJnwOEyCy/Uput9+vvm1hxuegqLYZ636PGzBDOHWmBzrAy9YE9WI59sW0Vop/8NBQeNmaoLRejNcO3dRqQKsNa6I8MManpVFZIZJg2S/XmSG4NkwNtEewmiJ08ZboVpYR788OhBmfg+TCOvyh52FCV8wLc8ZqyjripQNJPXqug4nBc/YxYKAfuVsuwlGqYfTCVF+9PEZ8fg2Kapthxudgsr9dr+7rRm41c19TA+y7v4EOKaxpglShBJ/DahdzG6fWmIj0tMLXi0P04suljkyhxFuHUwAAC4a7INy940JH3RR1uJuFRsW5gMvGJOp3pWkK362iOkgVStiY8uCmR1N3Gn8HIb5ZHAqAbPAcuKHd6pmNKR+7Hx8JVysj5FY1YfnW6yinfMFoPxJ1qX5bIim5/g0NlFI0fA4b784OxI7VI2BtwkN6ST3mbLyCAzfy9VbwaAKPw8IiyvB8n55W+ABgw5QhYLPIFJhELf3KtGU+FTl8LavqvjLUvN+orq7GihUrIBQKYWFhgccffxwNDV03esViMZ555hlYW1vD1NQUCxYsQFlZ62ltfn4+Zs2aBWNjY9jZ2eHVV1+FXN4yST98+DCmTZsGW1tbCIVCjB49GidPntTLcxyoPDbWE6O9rNEkVWDZ1uu42MuU0QaJHKdSS/HigSSEf3waz+xNwKm0MiiUKozwsMT3S0Nx/a0peHNGABzMO/dWKqxpYgYVr07367RxNVD58fxdXMisAJ/Dws8rwnutLu8pTVIFZAryvFTfLENRbTO4bAIj9Dx0GqjQflKRnlYIpMJ60tRW0yKoZlNcB4MqenjlZ28Gc+P++X32hkdHu4NFAFfuVnZryO2ttknw1qwAmBtxkZhfi9f+1F9jp6ewWASepEzAt13JhkTe0jgz5nHww9Iw8NgsnE4rw+4Y/dRGLBaBrxaFQCho8WEtF0mw9JfoHimmHhjaMnjOLBNh/k9XGa8qO6EAz08dAgD48mQm6pplHd5HX/D2rACM8LCESCLH+t/jujXSH8wYmlIGDGjAd2fuQKUCHhhqj2E6TkujOUqt2z0wzKHX5o706t6MoN7fl7ZkV5CdfE8bk1YNp9omKX6LbonL3fpIRJ8c2/YrOcgoFcHCmMuYHHbE6bRS5v997DRPKpw5jPTCOqHhCh+dZhfubtlnU90HhzngRaqZ+s5ftzosBrvCycIIe9eOgrOFEbIrG7F8WwwqRBLGyL4rFVOYmwXYLALFdWIU1mgXHTzJ3w7/PT8OY3ys0SxT4PVDKXh2b2K/Nk/oAILLdyqYxCVd42ljgvmUwvHbM/ozEAUAN2tj+DuYQaFUabRyYGBwsmLFCqSmpuL06dP4999/cenSJaxbt67L27z44ov4559/8Mcff+DixYsoLi7G/Pnzma8rFArMmjULUqkU165dw2+//YadO3fivffeY77n0qVLmDZtGo4fP474+HhMmjQJc+bMQWJiot6e60CDzSKweWU4wtwsUNcsw6rtsVj/exyis6o0WqkWiWW4ercSm87fxbJfriPso1NY93s8jiQWoVGqgLOFEZ6c4I2TL4zHH09GYW6oc7cpxEolubbXIJEjwt0Sj43tPNRjIHLpdgW+pZSkn8wbxihy+oMaSiXFY7OYEJMwV0sY83QfYjLQqRfLmAbUSE8r5vei3pSizc7j8mrarUa1qKwGl0qKxsXSGDOomnBHN2opJ7WGsUKpws8rh4PDIvB3cjF+OKv/BF5tmRvmBAehAGX1EsbKhGaYszlee5C0Nfnk3zRklmrv96QJjuZG+HR+UKvPldVLsPSX612G7nQE3dwKdjFntgEW/nyNeQ2uivKAj50pqhql+F7PdVhXcNksbFo+HLZmfNwua8Abh1MGXNNSVxiaUgYMdENWRQOOUUbW+lJJKZQqnLhFNkUeCumdKblUrsSxm+Tx9vXqHgBmYuFl27K6J5YpsG5XPPPx0xO9+2QKVlDdxBSub80MgLUpv8PvU6lU2HKpJe72VpHmKxYT/WzB57CQV9WE9JLuT4pxak2pvuS5yT6YGeQAmUKFJ3fHa50g52pljH1PjIKjuQB3yxuwclsMM5nuKinOmMfBMKow1XSFTx07oQC/PzYSrz/oDw6LwLGUEkz/7hLOZ/ZPA8Xd2gRhbhZQqoB/krUzuNeGDVOGgMMicOl2hdZNRG2ZRpkx3w+eBfcj6enpOHHiBLZt24aRI0di7Nix2LhxI/bv34/i4o5Tn+rq6vDrr7/im2++weTJkxEeHo4dO3bg2rVruH79OgDg1KlTSEtLw+7duxEaGooZM2bg448/xqZNmyCVkhfq3333HV577TWMGDECQ4YMwaeffoohQ4bgn3/+6bPnPxAwN+Zi79pRzCrGydQyLNt6HeGfnMGKbdfx9pEUfH4iA9+cysQn/6bh9T9vYsW26xj7+TkEf3gKK7bF4MuTmYjOroJMoYK7tTFWR3ng0FOjceX1SXhjhj/8HDRXOu2JycPVu1UQcFn4so3x70CnqLYZz+9PhEoFLIt0ZdSr/UWtup8UZXLeH2brA4G43GqoVORgxU4oYJRSeVVNEInJn1OAoxlMeGyIxPJ2KWq0n1TkIPOTUuexsR4AgCNJRahq6NwjSl3FmFXRgChvG3w8bxgA4NsztwdcIh+fw8bacWTzesvF7HYNxcfGeGKiny0kciWe3ZuAZql+1hBnBzsxieKmfA5crYxQISIbU9o0w+ihuJUJD4eejEI4Feyz8tcYHE8pAZfNwnuUj9Wu6NweGavrCjuhAD+vIJuW/yQXY68elfr9iaEpZcBAN2y7nA0VFaMc4KifaVxSQQ0qG6QwE3B6XcxcvVuJerEctmb8fjGKZEzObUgVjVyhxPP7ExGrdmGtby8lgGw0vXf0FsQyJUZ6WmFRuEun3xuXV8NMOAEgvbQe9WLN5LomfA4m+NoCAE50s8KnUqmY5L3O1gj1BS19DqCMy9ftitO6aHCzNsbeJ0bBzoyPzDIRNp4jp3m5VV3vubd4SPRsFY3FIo02Dz8dBW9bE1SIJFiz4wbeOpLSL1JmuiBqOy3UJa5WxlhIvWY3X8zu5rt7B70ufPlOZbepQQYGH9HR0bCwsEBERATzualTp4LFYiEmJqbD28THx0Mmk2Hq1KnM5/z9/eHm5obo6GjmfoOCgmBv37Ii/sADD6C+vh6pqakd3q9SqYRIJIKVVefvfxKJBPX19a3+3QsY8dj44KGhOP3ieCyJcIW5ERd1zTJcvVuFPTH5+PlCFn44dxfbruTgQFwBrt6tQmFNM1QqwNXKCHNCnPDhQ0Nx4ZWJuPjqJHzw0FCEu1tprbjNr2rCp8fJdM83HvRv5/04kJHIFXh6TwJqmmQY5izE+3OG9vchMU0pcyMuk0B2v5qcM00l6pxvacJjFEH00I7DZjHJw+qDqromGbPyFjlIlVIAMNzNEiEu5pDKldjTxSqbo3mLvUUWtWGwLNKN8dN8+WAykgpq9Xqs2rI00g3mRlxkVzbiVGppq6/RNaatGR93yhvw0b8dnwN0wYdzh8LZwggNEjkCHIQY6iREVaMUS3+J1ti3z4hHNqWapQpYmvCwZ+1ITA+0h1SuxDN7E7Dzag7G+9piaoA95EoVPvwnrV8VShEeVnj9QXLb48N/0pBa3D/JgPrE0JQyYKALykViHIonLzyfnKC/VJeTVPLVFH+7Vt5GPYFWdc0Y5tAv00/19T2VSoU3D6fgZGoZeGrPy86sc58LXXEspQTnMyvAY7Pw6fygLgv3LdRF/7JIV7hbG0OlAtM80oQZQQ7MY3Z10sqpbERVoxQ8DgvDnPt+3cCYx8HWR8NhZcJDanE9Xv0zWeuTrKeNCfatGwUbNdVZRqmoy/uhY6B7q/gJdrHAsQ3j8BgVvbw3Jh8zf7iM+Dz9KonaMivIEWwWgZSiOr0asD8x3gsEAZxJL9Pr4wQ5m8OYnlz34zTQgH4oLS2FnV1rn0IOhwMrKyuUlpZ2ehsejwcLC4tWn7e3t2duU1pa2qohRX+d/lpHfPXVV2hoaMDixYs7Pd7//e9/MDc3Z/65uvavEkbXDLE3w+cLgxH/zlT89cwYfLEgGBsm+2DNGA88Msod6yd44aVpvvh6UQj+eHI04t+ZisuvTcbGZWFYFeUBj140kZRKFV75MxnNMgVGeVnh0dEeuntifcD/HUtHckEthAIOfl4R3uf2BB1Br++ViySoapTCiMtul3J4vxCTTa3febU0lQKdSMuLm4W1zOc6Mju/QamsvGxNYGvWsap9MEAQBLMO+/v1vFb+S+qoK6XS1BoMb80MwGR/O0jkSqz9LQ4F1drZHugTUz4Hq0a7AwB+vpjVru6zMeXjuyWhIAhgX2yB3tReQgEXXy8OAUEAp9LKsDrKA8Eu5qhpkmH5tuu41UmyozpG1HsHbSwv4LLx88pwPDLKHSoV8ME/afjff+l4Z1YAeGwWLt+pxBk9BdxoytpxnpjibwepXIln9ya2SkK8FzA0pQwY6IKdV3MhVSgR7m7JmDPqGpVKhZPUxGH60O4T37pCKlcy04uZQY69PraekF3Zsr73f8fS8Ud8IVgE8P3SUNA9MjuhfguOumYZPvwnDQDw9CTvVoaSbblb3oAz6WUgCGDtOC9EuGuXFgeQKjo+h4WsisZW3gltof2kgp3Nu/X80BculsaMDPjfmyX4rge78t62ptj3xMhWxrKaJPDdKW/otR+UgMvGe3MCsXftSDiZC5BX1YRFm6PxxYkMSOXd+7PoAmtTPqOO+ztJf2opb1tTJqhg22X9qaU4bBbC3CwAADdy9WusbkB3vPHGGyAIost/GRkZ/X2YDHv37sWHH36IgwcPtmuSqfPmm2+irq6O+VdQ0H/pR/qEw2Yh1NUCi0e44qXpfnh/zlB8PG8Y3pwRgA1ThmBBuAtGeFh1unbeE3Zcy0VsTjVMeGx8uVD/QSO65GhSEXZRvpTfLQ2Fax8EhWgCbYJM/3eEpxV4nPvv8qpRImeaAepKpxAXuinV0iig1fKxOdVMY4NW0w9WPyl1ZgY5wl7IR4VIwthptEXdsLuyQcoo19ksAj8sC4O/gxkqGyRYvSOWSXccCKyK8oCAy8LNwjomaVKdMT42eHoiaYr+5qEUvTXVRnlZY904Uizwv/8y8O2SUIS6WqC2SYblW68juRuVGd3QblZLO2SzCHw0dyhefYD0x9pyMRvfnbmNVVFkI+7jf9P6NR2RIEg1mpO5ADmVjXjrHvOXuv/eNQ0Y0JAGiRy/XycLoPXj9aeSulPegLyqJvA4LIynLnR7ytUscnXPxpTfL3G6TVI5yurJHfr/bpVi25UcAMDnC4IR7mEJpQpgEYC1iX6bUl+ezECFSAIvGxM8RZ0cO4O+2J8aYA9vW1NEelKyci1WzcwEXGYF6u/kzidDjMl5P6fyjPSyxieUd8H3Z+/gUHyh1vcxxN4MB9aPYj6e9u2lTgsnKxMesyKSrDYt7Q1RPjb474XxmB/mDKUK+OlCFh768Uq3hYiumBNCNn1plaO+oN97DicU6c1YHQDC3cjX5M0Bti5goHNefvllpKend/nPy8sLDg4OKC9vPeGVy+Worq6Gg0PHgxAHBwdIpVLU1ta2+nxZWRlzGwcHh3ZpfPTHbe93//79WLt2LQ4ePNhqJbAj+Hw+hEJhq38Gek92RQO+OEE2Kd+aFTBgmjqacLtMhDcOkSm6z07ywWT/vk0V7oq2K+RR96mfVEJ+DeRKFZwtjOBi2fLaCqZUYylq6pXhbpbgcVgoF0mQTVk+tPhJDf6mFJfNYlSIv17J6bBxQBBEK+9VeqALkIqkHWtGwNFcgKyKRqz9La5fmyHqWJvysYTycVP3YlXnham+CHcnE+Oe25cImQaBDj3hpem+CHAUorpRik/+TcOuxyMRQXtDbYthau6O6KwdTxAEnpnkg68WhYDDIvBXUjHi8mpgwmMjv7oJu6/ndXLLvsHShIeNy1tM8ffF3jtDG0NTyoCBTtgfmw+RWA4vWxNGraAPaHPhMd7WMOX3Lq3l+M3+Xd0rqmkxz/6FOlm9OzsQiyJcUSEim1VWJny9Hlt8XjWzx/9/Dwd1qUgqF4lxOIFUuqyjLv7pZl5SYW2nsuuOoA3q/00u6dSXh1Zf0Q2A/mRppBuenEA27N44fBPXs9tPvLrD30EIezXV29Jfrndq7ElPS5MLdLcHb27ExTdLQvHziuGwMuEho1SEh3+6ik+Pp+vNZJNmkp8d2CwCmWUi5HXjqdUbIjysMNzNAlKFEruj9VcM+VImyT2JVjbQP9ja2sLf37/LfzweD6NHj0ZtbS3i41vCJs6dOwelUomRI0d2eN/h4eHgcrk4e/Ys87nMzEzk5+dj9OjRAIDRo0cjJSWlVcPr9OnTEAqFCAwMZD63b98+rFmzBvv27cOsWbN0/WMwoAEKpQqv/JEMiVyJcUNssDzSrb8PSWMaJHI8uTsezTIFxvhY48Vp+gmc6SmNbc41Y7zvTz+pzpLzgqnE6pzKRkZNJuCymTroWlZVG5XVvdHUWx7pBgGXhdTi+lZriuo4qq3wtVWbO5obYeeaSJgJOIjLq8EL+5PamYv3F2vHeYFFkCmYHXk4cdksfL80FEIBB0kFtfj61G29HAefw8Z3S0LB47BwPrMCR5OK8dtjkYj0tIJIIsejv8YgppPaVkE1ClmdWHssDHfBr6tHwJjHRmJ+LfN3/uP5u8zruL8Id7dk1Fwf/JOqsY/WQMfQlDJgoAOUShWjklo71kuvEvfLdyoAtJgN9xSZQolTVINrVnD/rO4V1LSW6T432YcxbaSbUvr0ChDLFHj1j5tQqYBF4S7dmsZvu5wDqUKJ4W4WiKCMNz1tTGBjyoNUrmwlN++OSf52MOVzUFTbjIT89tOZcpEYWRWNIIiBMwl87QE/zApyhEyhwvrf43vUkKDjjwHSW2rpL9c7VPSEUNNSXSmlWh1DkCPOvDQBc0OdoFSRDdEZ31/qUaNNUyyMeUzxre/UujWUh9aBuAKNIuR7Ar3iere84Z6SgxsAAgIC8OCDD+KJJ55AbGwsrl69imeffRZLly6FkxPZTC8qKoK/vz9iY2MBAObm5nj88cfx0ksv4fz584iPj8eaNWswevRojBpFKiSnT5+OwMBAPPLII0hOTsbJkyfxzjvv4JlnngGfT77P7927F48++ii+/vprjBw5EqWlpSgtLUVd3b1n0jqQ2Xo5Gwn5tTDjc/D5gmCtzdH7C5VKhdf/vInsikY4mgvww9KwAZcU2KSmlBIKOAh0uj+VfR35SQGkssONUuWlqNVUtKIsOqsSCfk1UFAqK2cLI9wLWJrwMH84GVbyK7U10BZ7oXoCX/vhlp+DGX55JAI8NgsnUkvx8b/9a7ZN42plzFiEbO3EWsDF0hifLwgGAGy+mIVLtyv0cix+DmaMAfj/HUtDab0YO9eMQJS3NRqlCjy6PbbDtGa6v9dZUwoAJvja4sC60a08VGubZNh8MUu3T6IHPDHOC5MZf6kENEkHv7+UoSllwEAHXLlbibyqJpjxOZgX5qS3x2mUyBl56bghvVzdu1uJumZZv63uAcDu6y1JI4+McsdLahPNvmhKfXP6NrIrG2Ev5OOdWYFdfm9No5SR4T472Ycp0gmCYH5+2vhKCbhsTA8kFXX/dLDCd50q2AIchLAw5ml8v/qExSLw9eIQhLlZoK5ZhjU7bnQZYdwRHtZksTnEzhT2QjJ1ZemW6yita92Yoo1fkwpq9VJUWZnw8P3SMPy6KgIOQgFyq5qw9Bcyal2kYZKittC/71N6XuF7YKgDrE14KKuX4GyGfow2PazJNYJ6sRyie8w80wCwZ88e+Pv7Y8qUKZg5cybGjh2LX375hfm6TCZDZmYmmppaBgvffvstZs+ejQULFmD8+PFwcHDA4cOHma+z2Wz8+++/YLPZGD16NFauXIlHH30UH330EfM9v/zyC+RyOZ555hk4Ojoy/55//vm+eeIGcLdchG8opcK7cwLhNIgu+rdfzcWxlBJwWAR+XD5cp/5aukJdKTXa23rANc36ArFMwSTFdaR0CqaV0mpDqdFMU6oKV+5WAmjf0BrsPDbGAwBwOr0M+VXtvZXUlVLZnQwFR3tb4+vFIQCAnddymS2E/mb9eFJp/3dyMYpqmzv8nhlBjlgxklRlvnQwmbkO0DVrojwwxscaYpkSLx5IApfNwvbVIxjD+HW74tp5eylppVQ3nZAgF3McfiqqVUrpzxey2tW4fQ2LReDrRSFwEAqQXdmIj/9N79fj0QWGppQBAx1ANyvmD3eGMa93K3VdEZtTDZlCBRdLI7hb987fgfa2eXCYfb8URdeyKnFO7YL5w4eGtprGVlDNDls9FZUJ+TWMP9T/5gfB3Jjb5ffvuJaLJqkCgY5CTPJrrVJjmlKdSK47Y04o2cA8llLSTtFCq3ZGeQ0sabqAy8bWRyPgamWE/OomPLFLO+8Cd6qZwWWzcHD9aDhbGCG7shGLt0SjUE05F+AoBJdNoLpRisKajgsYXTAlwB6nXhqPZdR6yp6YfEz75hL+6yYZsSdMo4IJ4vKqUdekPzk3j8PCwghy4rq3i4jp3mDEYzNpNLWN/StNN6B7rKyssHfvXohEItTV1WH79u0wNW0JgPDw8IBKpcLEiROZzwkEAmzatAnV1dVobGzE4cOH23lFubu74/jx42hqakJFRQW++uorcDgt58wLFy5ApVK1+7dz5059P2UDINf2Xv3zJqQKJSb52WJRuEt/H5LGxOVW43/HyQutd2YFINy9/9feO0LdUyrqPl3dSyqohVShhJ0ZnxlUqRPiYgGgdQJfsIsFjHls1DTJsONKLoB7b/XRx84ME3xtoVKRDaW2OJi3NIjzuzAEnxPihHdmBQAgTb2PJGrvA6prglzMEeVtDYVShe2dKMEA0sLDz540bX/pYFKn9ha9gcUiDcCFAg5uFtZh49k7EHDZ2PJIOOaEOEGmUOG5fQk4eKPFf4kOxtEk8dzN2hiHnopqlao57ZuLOn8e2mJpwsM3VArhvth8JjRrsGJoShkw0IaSumZGjbBilLteH+vyHXI6NG6Iba/k9EqlCucyyKbUtMDeJfj1hBu51Xh8Zxzz8TuzAtqtPOpTKUWu7SVDqSIbid2ZoIrEMuy8Sp5En5nk0+5nTzel4vJqtNrhH+tjA0tjLiobpIhuszp2nUop6W6lsD+wMeVjx+pICAUcJOTX4uWDyRo/b3rqXlzXDHdrExxYPwpuVsbIr27Cki3XGb8lAZeNAEdyrSFJz2baQgEX/5sfhL1PjIS7tTFK68V4ak8C1uy8oVP/J2cLI3jZmkCpAq7n6G9VEACWjSCbbJfuVOgtzcaSauRWD6CkHwMGDPScnddykUit7X06P2jQrO1ViCR4Zm8C5EoV5oQ4YVWUR38fUqfUqL1fjvEZeOf3viBWzaS8o9dYcAcJfDwOi6m1pNQQb4zPvdWUAoDHKAuLg3EF7VTbjmrre3kdKKnUWTvOC49Rq/yv/HFT77YBmrCe8iXdF5vf6WBOwGXjx+VhEHBZuHynEr/oKUnY0dwI//dwEADS9yk+rwZcNgvfLQnFskhXKFXAa4duMsNrkZhsJpsJuh5g01iZ8LDviVGwMSU3HUQSOV46kNTv65RRPjZMCuEbh26irL5/FVy9wdCUMmCgDftjC6BQqhDpaQVfezO9PtbVu3RTqncn4lvFdSirl8CEx8aoPpY/J+TXYM2OG61iVelVIHX02ZT67swdZFU0wtaMj/dmd722B5BrhvWUif2Dw9o38QKdhDATcCASt5hvagKXzWL27P9OalnhK6sXI7uS8pPqp9XK7vCxM8WWRyLAZRM4llKCD/9J1ehk62RBFlW1TTI0SuRwsTTGgfWj4GVjgqLaZizaHI2MUtKEkZ4y9VVCXpS3DU6+MB4bJvuAx2bhQmYFpn97CT+cvaOViX1X0JNd+m9ZX3jYmCDK2xoqVdcJj72BS8WYK5T68a0yYMBA35FX1YgvT5Jpe2/ODICj+eBY25MrlNiwLxFl9RL42JniswHeTKOHi0CLN9/9Rgw1lBnZiRJ8mLM5WARQUidu5TmpnlTobWsCB7V1tnuF8UNs4GNnigaJHAfjWiuc1J9vXbOs0wRjmndmBWB+mDMUShWe2ZuAa3quO7pj/BAb+DuYoUmqwO6YzoNYhtib4YM5QwEAX53MRGIHvqu6YE6IE+ZR3qIvHUxCo0QONovApw8HMWFGnxxLx7enb6OeMis3E2i+DWPEYyPmrZb02MOJRXjjUIre0gU15aXpvhjqJERNkwyv/JGsFzVaX2BoShkwoIZKpcKhBPKkoe90mromGTLLRADap5Voy5l0Utk13te2y7Q5XZNSWIdV22PRIJEjytsafOqitqOo6UpqfY+eMuiK5IJa/HKJNB389OGgbv2axDIFfr1CTkqenujT4aojm0Uwa3ZXs7Q76dMpfCdSS5nGB726N9RJ2O1aYX8y2tsa3ywOBUEAu6LzsPHc3W5vYybgMif1kjpyLc/R3Aj714+Cv4MZykUSLN4cjfi8GkbCr2+llDoCLhsvTffDfy+Mwxgfa0jkSnxz+jYe/O4yEzLQG+jJrr6bUgAwl1oP7cizTBfQHgsD+QLQgAED3aNSqfDGoRSIZUqM9rLGskjX/j4kjfnyVCais6tgzGNj88rhMOllKnFfYcbn3JfvnVK5kvFG7ayWNeFz4GNHNuxuqiXwqivHB5q1ga4gCIJROO28ltNKhW4nbD2k7U4txWIR+GJhMKYH2kMqV2Ltrji9NXg0gSAIrJ9ANnt2XM3t0vphyQhXzAp2hFypwnP7ElGvJ6/PD+cOg7OFEfKqmvDRP2nMcb45wx+vTCd9br8/ewcf/Ut+TaihUoqGzSJwbMNY5uMDcQVYs+OG3p6PJvA5bHy/NJRRo+3oYFV0MGBoShkwoEZ8Xg0Ka5phwmPjgaH6XYNLKCBPJJ42Jr027zxDyXinBnS9tqZL0orrsfLXGIjEckR6WOHbJaGQUDvaLpbtJ7K1lLTXUocm32KZgpwKqIB5oU6YFtj9898fm4/KBilcLI2Yi/yOGEMVS9fuareWNcLDCg5CAURiOS5kkk0Pxk9qEEQdzwlxYiZa35y+jT1dTL9o6LQcda8oOzMBDqwbjeFuFqgXy7FyWwwTo5tWUt/n0cbetqbY/fhI/LAsDLZmfORUNuKRX2Ox9re4Tg1GNWG0lzVYBJmcU65n2fSDQx3BZRPIKBXhNtXQ1iXNUvLvl6eBx4IBAwYGLvtiCxCdXQUBl4XPFgxspZE6/6WUYMtFcmj0xcJg+NjpV62uSyYH9C5BebCSUlQHsUwJKxMehth1rhQL7sBXaqiTOfP/5kYDd2DXW+YPd4alMRcF1c2t1u6sjHlQ/9PM02A1n8NmYePyMIz1sUGTVIHVO24wavT+YHawE5zMBahskOBIYlGn30cQBP43PwgulkYorGnGm4dT9LL6Zm7ExdeUz9KBuALm+oggCDw7eQg+mNN6m4L20tSGoU7mmKr2937lbiUW/nytlY9qX+NjZ4a3qYCnz//LQHpJ/70meoqh8jRgQI2/ksg31AeGOsCIp1/FUSI1WRru1jvzzuLaZqSV1INFAJP8+6Youl0mwspfySbDcDcLbF8zgvFVsDTmdjjZpBsSFjpUCn1xIhN3yhtgY8rH+1QjpSukciW2UMkl6yd4d2lwSCtgbuRWa2X8zWIRmBNCrvAdSSBfT3Ty3kD0k+qIVVEeeG6yDwDg3b9u4b+Uki6/n/GVqm3dlDE35mL32pGY4GuLZpkCnxwjJ1NNUoVOvZ00hSAIPBTihLMvT8CaMR5gswicSS/D9G8v4aN/0npkVm5uzGXWfPWtADM35mKCL5nSqWu1lFyhRFUjqWZUj6k2YMDA4KKkrhmfUgbhr0z3Y8IoBjp3yxvwyh/JAIC1Yz0xO1h/yce6okHN5Jx+b77foP2kRnhYdtn8DGES+FqUUuppbIN040gjBFw2llMpdNuvtpiCc9gsWKkNavMqNauL+BzSxJtOTn7k11jkanhbXcNlsxjfrK2XsrtcHRMKuNi4LAwcFoFjN0twQM14XJeM8rLGWuqY3jicgurGlrXI1WM88d2SUObj7VdzeqRyem7ykFYf3y5rwLxN1/rMnqIjVo50wxR/O0gVSrx8MLnf1wq1xdCUMmCAQqZQMpGhc8Oc9f548ZTktreJMmfTy5j7sTLR7WpcR9wuE2H51hhUN0oR7GKOnY9FwpTPQVl91xe0tFLKwkg3x3j5TgVzcv9yYTAsNXjuRxILUVInhp0Zv9sUIh87U9iZ8SGRK5GQp508ev5w8r7PZpQhvaQeOZWNYBFAxAD1k+qIl6b5YlmkG5Qq4Pn9SbjWxRoj7StV3EEssDGPg62PRmBOiFOrojO9RPdKH00RCrh4f85QnHxhPCb720GuVGH71RxM+Oo8dl7N0fpE3pdribRnGb2yqytK6sRQqQAOi4B1H7yPGDBgQPeoVCq8feQWGiRyhLlZYA21NjTQaZDIsf73ODRKFRjpaYU3Zvj39yFpRKxawIV6ZPz9BOMn1Y0SXF0pRStk1NfetfHvHIw8MsoDHBaB2JzqVs/VRm1TQhOlFI0Jn4OdqyPh72CGCpEEy7de75dhHwAsjXSDUMBBdmUjTqd3bcAe5maJVx7wAwB88E8q7uhB9Q0AL0/3wxA7U1Q2SPDOX61VWfPaXOMt3hyN0jrtlO4hrhaY6Ec2oif52SLAUYjKBgmW/BKNE7f6JwWPIAh8tiAYFsZcpJXU4+cLWf1yHD3F0JQyYIDiyp1K1DTJYGPKY1a39IVCqUJSfi0AYLi7Ra/u6xyVFDilD1b30orrsfSX66hskCDQUYhdj0Uy+9h04kNHTSmxTMEYoevCU6mmUcpMVB8Z5a6RQkwqVzIeSevGe0HQjWSXIIgWvyAtfaUCHIUIdBRCplDh9UM3AQBBzuaDSp5OEAQ+mTcMDw51gFShxLpd8a1k9+o4W5AeYh01pQAyZee7JaFYOarFp+2ZvQn9nlriY2eK7atHYNdjkfC1N0Vtkwwf/JOGB7+7hBO3SjQ+vlA3CwBAcic/H10y0c8OBAGkl9RrXUR1BV0k+zmYtUvONGDAwODgaFIxzmWUg8dm4YsFwR16Jg40VCoVXv0jGVkVjbAX8vHj8uHgDJIVYvX1fk2i5e81FEoV4nLJoV1kN96oAY5C8Dgs1DTJkEOpetSbUrE51WiSyju7+aDHwVyA2cHkUGn7lRa1lHr4T343nlJtMTfmYtfjkfC2NUFxnRjLfrmu9X3oAlM+ByuptPJfLnWfrrdunBfGDbGBWKbEs3sTtdpG0BQBl41vFoeCwyJwPKW0XUCMndrPPaNUhPk/XdW6Qfb0RHKjIDq7CttWRWCiny3EMiWe2hOPbZez+6XGtTXj48OHyM2RjefuDKo1vvvvHdSAgU44Re0dzxjmqPeCKKeyEY1SBYy4bAzphWeCRK5gVsP0LR1PKazDsq3XGYXU3idGtjIVL2eaUu39seiUCxZBmoH2BpVKhbeOpKCsXgJvWxO8NTNAo9sdSihEYU0zbM34WDHSXaPb0MkwV7X0lQKABZQSi45AHj8Ipf1sFoHvloZilJcVGiRyPPJrLNKK25/gHMzJ33lJF00SNovAx3OHwVKtKfnm4f5PLQHI383xDePwybxhsDLhIauiEU/uTsDcTVdx8XZFt4UFrZS6WVCn9yLEyoTHPN6FTN2ppRIo5SY9zTZgwMDgokIkwQf/pAIANkzxwRA9pwfriq2Xs/HfrVJw2QR+WhGul4RefXE16/5uSqUV16NBIoeZgIMAR2GX38vjsJgVvvi8GqhUqlYDP6lCiRiqnr1Xodfc/rlZzNTM6uE/uT1QOtmZCbDviVFMY2rpL9H90phaPcYDPDYL8Xk1iMvt+vfIYhH4enEIbEx5yCwTMdYOuibIxZxZs3v3r1vMIK9ZqkAFFb7097Nj4EX97Bb8fA1X7mg+hB7hYYkARyHEMiWO3SzGtkcjsHKUG1QqMuXv3aO3+qXGfSjECdMD7SFTqPDqn4Nnje/+ewc1YKADVCoVzmVQZuEamGX3FtqU0NfBrFeTzIS8WjTLFLAx5cPfQX8FaEJ+DZZvu466ZhnC3Cywe+3Idil3pV0opWqpppS5EbfXKow/4wvx361ScFgEvl8appH3l0SuwI+USuqpCd4a+4XRSqmbhbVa75zPDXWC+lMdN2TwNaUActq0bdUIxrtg5a8x7aZJtPyc9iTqDIIgsPXRCObj/TcK8Phvca18OfoLDpuFlaPccf6ViXhusg+MeWzcpNIll/xyHTe6KLJ87EzBZhEQSeTMGqs+meRHKgNpI/3eolKpmKb8GJ/B4XtmwICB1nzwdypqm2QIdBRi/QTv/j4cjbiWVYnP/ssAALw3O7DXdgZ9SXWjtJUKgcse+Ko0XUOHuIzwsNKolh1O/X4T8muQVdGIsnoJ+BwW5g8n16ku3tbNOW2gEuxigQh3S8gUKvx+nQyRUV/fKxdJ0CzVXjVkJyQbU1792JiyMxNgQTj5e9yigVrKzkyAbxaHAgB2X8/v1ru0pzw9yRshLuaoF8vx2qGbUKlUuFveAJUKsDbhIdjFAoeejEK4uyXqxXKs2hGL36NzNbpvgiCwOooccu+KzgNBkMPXd2YFgCDI57V6Ryxqm6Td3JNuIQgCnzw8DBbGXNwqqsfmQbLGZ2hKGTAAILW4HmX1Ehjz2J1G2uqSzFLyoj6gl40kOtJ+3BAbvaXr3MitxqO/xkIklmOEhyV+f3xkhxGqXXlKMX5SvUzey69qwgd/k5Pgl6b7YpizeTe3IDkYV4ii2mbYC/mM2aQmOFkYwdPGBEoVEJ2lnVrKxpTfauIbRq14DUZM+RzsXBOJYc5CVDdKsXxbDCO/B1qKqsqG7k+8/m2mqZduV2Dx5mhm/bO/MTfi4uXpfrj02iQ8NsYTPA4LsTnVWLQ5Gqu2x3bYnOJxWHC3IlcYs3qR5KcpY4eQjaO4vGqdKLOSCmqRV9UEAZfFNLwMGDAweDhxqxTHUkrApiLjB4Nqp7i2Gc/tTYRSRaaT0es/gwW6IUMzGH7muob+GYz20myYEU4F+8Tl1jD1a4SHJaYHkmnXl+7xphQAPE6ppfbE5EMsU8CmjTIwXwtfKXXshALsV2tMLdva96t8a8d5gSCA02lluFvefS003tcW6yd4AQBeP3RTL+l1XDYLXy8OBZ/DwqXbFdgTk49MarBKh9RYmvCwZ+1IzA9zhkKpwrtHU/He0VuQa6AwmhvqDAtjLgprmhGdVQWCILB2nBe2rAyHMY+Nq3erMG/TVdwt71sfVTszAbPG98O5O8x150Dm/nsHNWCgA85Qxnzjhth06zWkC2iTZ79eNqWuUPv4YylFj66JzqrCqu2xaJDIMdrLGr9RpuYdUd6FUqpOTSnVU6RyJTbsT0SjVIFIDyusH6/ZJFgsU2ATpZJ6ZpKP1r/f8UPIn21PJnh2Zi0/C9YgieTuDHMjLn5/bGQrU80Cqniim1I1TdJuT+KmfA7crckGzusP+sPGlIe0kno8vOnqgDpp2pjy8d6cQFx4ZSKWRbqCzSJw8XYFFm2OxuLN0TifWd6qIeRlS0Zh90VTaqiTObhsApUN0h4XsOpsu0z6W8wKcuowOdOAAQMDl7omGd49egsAsH68l8bDmv5EIlfg6T0JqGqUIsBRiP+bF6S3wZq+UPdDAu6/ppRcoWSS9zRNFqaVcHfKG3A0ifT4meBriygfa7BZBLIrG5m64l5lWqA9nC2MUN0oxdGkolZKKaBnK3w06o2potpmLNx8Dbf1ZCTeEd62pphG+dtu1UAtBZAJoaGuFqgXy/H8/iSNGkHa4mNnitceJMMT/u9YOk6lkkbk6tdgAi4bXy8OwWsP+oEgSOXT6h03WiX3dYSAy2YCaNRTkacPdcChp6LgbGGE3KomPLzpGs7r0HJBEx4KccI0ao3vrSMpXSYjDgTur3dQAwY64TK1QzxZA8NsXZBZRkq+/R263sHvippGKVIoc+JxQ3TflDqdVoZVO2LRJFVg3BAbbF89Asa8zi9YW5RS7f0gdNGU+uJEBpIKaiEUcPDNkhCN1x4P3ChAab0YjuYCLBnhqvXjTqReExcyyrVWpXDU5PxtC9jBiKUJD7vXjoS3rQlKqElcUW0zrEx4YBGASoVuT+AA4EdNp4y4LBx5umWff+HP15jp6UDBycII/5sfjLMvTcDSEa7gsgnE5lZjzY4bmPXDFfyTXAyFUgVvWzJ5KacPYpkFXDZz4Ul7QfWUxPwaHKNk80+MHxxJXQYMGGjh0+PpqBCRHosbpgzp/gYDgI/+SUNSQS3MjbjYsjJc45X6gURb9fQg8JTXKanF9RBJ5BBq4CdFY23KZ1IK6bTaiX52EAq4jIrqXl/h47BZWDPGAwDw65WcVp5SAFBU03FgjKbYCQXYv24U/OzNUC6SYPGWaCT3QTIwDa18OpJYxAyru4LLZmHjsjCY8TmIz6vBd2fu6OW41kR5YJSXFZplCsauIMCxtTCAIAg8PdEHm1eGw4jLxpW7lZj9w+Vu66w5wU4AgP9ulUAqb2mqBTgK8fezYxDpYQWRRI7Hd97oUwN0giDw0dyhMOGxEZ9Xg4NxBX3yuD3F0JQycN8jlimYVLFRGkqQe4NUrmROOvSFbE+4mlUJlYq8wLfrQJ3UG/6IK8CTu+MhlSsxNcAeWx+N6LJoVCpVjGmgujqIhk5UMeH3rPA8lVqKbVRayVeLQuBiaazR7cQyBTadb1FJ8TnaP/5oL2vwOSwU14lxu0xzFYxILENKYUvs75/xhVo/9kDExpSPvU+Mgru1MQprmrF4czSKasjGFKDZCp+PHa0qaoSrlTEOPxXFnLRX77iBnVdz+j2Zry0eNib4bEEwLr82GWvHesKYx0ZaST2e25eI8V+cx19JRQCA8j7wlAKA4VQBn1zQ8xhtsUyBt46QCosFw1161SQ3YMBA33M9uwoHqAuNzxYE94nSu7f8EVeAPTH5IAjgu6WhcLPW7Hw+kCipa0Z2ZWOrRtTAOmPpn2hqdS/S01orb1T63AUATuYCDKHqgQl+pO/mvd6UAoDFI1xhwmPjdllDOyVTZynG2mBnJsCB9aMQ4mqB2iYZVmyLabduqi/C3a0Q4W4JqUKJHddyNbqNq5UxPp0fBADYdOEurulhiMtiEfhqUQh4aorGCI+O7VoeGOqAw09HwdOGHJgu2RKN7Vc6r0sjPa1gZcJDvVjeLqXa2pSP3WtHYkmEK5SUAfqrf96ERK77xMGOcDQ3wovTfAEA//svA1UNfVOj9gRDU8rAfU9SQS1kChXszPhws9J/cVRS1wylCuBzWL1KmaGndGN0vLq39VI2Xv3zJhRKFRYMd8HmlcO7LXRFYjkUlCyUbk6o00QZNxpxtV8NKqhuwit/JAMgd/GnD3XQ+LZ7YvJRLpLA2cIIiyO0V0kBpCqFTuHTRnp7PbsacjWp7InU0j43O9QX9tQkztOGlIgv3hKNejHZeKzU4ITXdtXNwpiH39dGYsFwFyiUKnzwTxreOpLSauI0UHAwF+Cd2YG4+vpkvDB1CCyNuSiqbWaUgsdSSnCrqOeNIk2h1Waa+DZ0hEqlwvtHU5FeUg8rEx7emOGvy8MzYMCAnpHIFXjrSAoAYPlIN4zo5AJrIHGrqA5v/0U2wp+fMmTQethdoxJ5g1wsmIbMAJuj6B3GT0rD1T0adTP7if52zNrmeCoMJjqrakCe+3WJUMDFIqompdcYaYrret+UAsi6as/akRjtZY0GiRyrtscygU76hg5a2H09T+MgmzkhTlg6whUqFfD8gSSNakltcbE0xsNhzszHXb3OaJXTrCBHyBQqfPRvGtbsvNGh/ymbRSCCel3H5bVXVfE4LHy2IAjvzQ4EiyCH1Mu3xqBC1DcNotVRHghwFKKuWYZPj2f0yWP2BENTysB9zw1qJ36Ep1WfeBoUUiopF0ujXj0ebbgcqSNjdpVKhc9PZOD/jqcDAJ4Y54kvFwaDo4FPQg3VbDHhscHjtP/+JknPlFJSuRLP7UtEvViOEFcLvP6g5hfODRI5fqJUUs9O9unwuDRlErXCdz5D86bUxdvk964c5YZARyGkciUOJxT1+BgGGo7mRjiwbhSG2JmitF7MnNw1KSRohaC6/xKfw8ZXi4Lx1kx/EASwL7YAK3+N0WgdsD+wNOHhham+iH5zCr5cGNzqa7M3XsHsjZex42qO3o7fm5ou96QpRf6tZ+JAXAGpVlgSOqhi2A0YMAD8dD4L2RWNsDXja3Vu7C9qGqWMAnuyvx02TB4cq4YdcTWLVHJEeVuDruJU95FWSqZQMrXzKC/talD1ptQ4taHqUCchrE14aJDIe72WPhhYHeUBgiDXINUpqtVd6Ispn4Mda0ZgaoAdJHIlntgVjwM38nV2/50xxd8O3rYmEInl2B+r+eO9P2cofOxMUSGS4JU/kvXigeRiacT8/0sHk7tsTJkJuPhxeRg+mBMIHoeFC5kVmPbNRfwRV9Du2GhLhexOfEUJgsBjYz2xY00kzATkquLcH68gtVj/Q0wOm4VPHx4GggAOJRQipo9Uc9piaEoZuO+h99pH9FEUMZ0uoekKWkfUNEqZVbIRHr0/brlCibeOpOBnKjb09Qf98dbMALA0lGTTTanO0vUYpZSWvhHqPlI/LgvTqrG07XI2qhql8LQxwcJwF60ety0TfcmmVFxeDerFsm6/X6VS4Vw62ZSa5GeHZVTi377Y/AG3ltYbaO8CdT+JmOz26XRtoZVSZfUSiNR+ngRBYN14b/y6KgKmfA5ic6oxd9OVAWWA3hYBl41FEa44/eJ45nNcNoFbRfX48J80jPz0DNbtisOJW6UQy3Qn16ZXIEvrxRpPIgFyZe/lg8nYfJH8W/9k3jCM97XV2XEZMGBA/9wtF+GnC+TQ5YM5Q3vl19gXKJQqPH8gCYU1zXCzMsa3i0M1ri8GGiqVijnPRXlbg54t3kOn9m5JKapDo1QBC2MuArRc+1b32rRUU9azWATjj3oh895f4fOwMcEUf/t2n9fF+p46Ai4bP68MZ5LlXj+Ugm9OZeq1FmWxCKwbT3pL/XolBzINzcuNeGz8uDwMfKoBtP1qjs6PjQ62AoD0knp8f/Z2l99PEARWj/HEsefGItjFHPViOV798yYe/ukqrmVVMj9HOiSmUdJ1nTfB1xZ/PTOGWQ2c/9M1HEnUv71HmJsllo4gr0U++jdtQJqeG5pSBu57MqgL3kCnvkmsoacgzmrdem2h5aFetiawNu2dwqFRIse63+OxL7YALAL43/wgPDXRWysVF92UsjTpuDBupJpSxlqs7/17s7iVj5SrFquVlQ0SJvnjlel+vU7FcbM2hretCRRKFa7c6X7XPa2kHsV1Ygi4LIzxscHcUCcYcdm4U96A+A6kvYMZa1M+9j0xkvn4QFxBt8/R3IjLKHOyK9obg0/2t8eRp6PgZmWMgupmzNt0FUeTBrbKjG648jksxLw1FR/MCUSQszlkChVOpZXhyd3xGP7xaTyzJwF/Jxe3asb1BHMjLkyox9TETBQg1ZUzf7iMw4lFYLMIfDJvGFaMHFwx7AYM3O8olSq8dfgWZAoVJvvbYWaQ5ivt/cV3Z27j0u0KCLgsbF4ZDnPjgd1E64rCmmYU1TaDwyIQ7m4JgtJKDbxLPP1B20eM9LTSurl4Sc0zqu3AiValn03vmzWz/mbtuPbhIhUiic79hrhsFr5eHIJnJ/kAAH44dxcvd6MS6i3zwpxha8ZHSZ24VSpdd/g7CPHu7EAAwOcnMtp5NPWG0joxkgvrQBDAx3OHAgB+vpClUV0+xN4Mh56Kwhsz/GHK5yC5sA7Lt8ZgxveX8cm/aTh4g/T2c7Hq/trO29YUfz09BhN8bSGRK/HigWR88Heq3tdWX5nuCzM+B6nF9TicOPBqakNTysB9jUgsQxE1laA9WvQN7Stk3YH3kqbE0at7vfSQKKsXY/GWaJzLKAefw8JPK4ZjWaSb1vdT00heYFt2opRq1tLoPL2kHq/+cRMAsG68l1Y+UgDw47m7aJQqEOxirrOCnfa+OKfBCt+ZNPJ7xvrYQsBlQyjgYk4IGRm7Vwsp82DBwpiHpWrJhiu2Xe+2qOxohU+dIfZmOPrMGIzxsUazTIHn9yfh/aO3BqzXBJ1MKZErYW7ExeoxnvjnubE4+cJ4PDHOE47mAjRJFTiWUoIN+xIR/vEZLN96HZvO30VSQS3jyaYNNlRjrytzeZVKhaSCWqz97QYWbY5m1n1+WxOJlaMMDSkDBgYbB+MKEJtbDWMeGx/NHdontgO94UxaGTaeI1Vd/5sfhECnwR2oQBt8h7hakO/7jFLq/mlLMX5SPQgHOq+mgorNba2snuhrBw6LwJ3yBuRV6T/Jtr8Z6WmFYc7t/x5K63S3wkdDEAReecAPn80PAptF4HBiEVbviGXSsXUNn8NmUgZ/uaRd4tyKkW6YMcwBMoUKz+1L7PUQj+ZkaikA0mz/kdEeeDjMGUoV8MofyUwgU1dw2Sw8OcEb516ZgEdGuUPAZSGjVIRtV3KQWSaCCY/NqJG6w9yYi+2rR2DDZLJRuPNaLpZvva7xkLEnWJvy8Sz1eF+ezNDoOfclhqaUgfsaOvXCQSjos8ldTRP55trZqpsm0Cfy3hibZpaK8PCmq0gtroe1CQ/71o3Cg8Mce3Rfulzfq22SYt3vcWiWKTBuiA1ee8BPq2PJr2rCnpg8AOQaoq4K9skBLRM8eTdS5LOUmeS0wBYTV7rZd+xmCeqa9FME9CdOFi3TIbFMiXW/x3cZP0uv8OVUdl54WprwsOuxkcx077foPCz5JRolOjIC1SVstdeZUq348nMww9uzAnHtjcn4+9kxeHqiN7xsTSBVKHEtqwpfnszEvE1XEfbRKTy6PRZfn8rE6bQylNWLuy3ibEzpplRrHy+5QombhbXYdP4uHvjuEuZtuooz6eUgCGBJhCvOvDgBY4foNiDBgAED+qdcJManlO/jS9N8e2UD0BfkVjbixYNJAIBVo93xcFjvVukHAnRDhvZSYjyl7pOelFSuRFwuqSwZpaXJebNU0SoFLia7utV5ztyYy9S1Z9I19/AcrBAEgSfGebX7PJ3QrQ+WRrph++oRMOGxcS2rCg9vuoq75fqxSFgx0h0mPDYySkVapSoSBIHP5gfD2cIIeVVNeOevWzpp+v4RT9aks4LIa50PHhoKB6EAOZWN+Pw/zQ3A7cwE+HjeMFx/cwq+WhSC1VEeeHqiN/5+biw8bTRPVWezCLw03Q9bH42AGZ+DuLwazNp4hfEM1gerojzgamWEsnoJtlzM1tvj9ATto7AMGLiHyKsi/Z28bDV/E+kttFLKooceEM1SBZPu1dOm1NW7lXjy93iIJHJ42Zhgx5oRcLfu+c+gtolWSnX8nJopLx3jbppScgVpbF5Q3QxXKyNsXBamkdG6Ol+fzoRMocK4ITY6TSaM9LCCpTEXNU0yxOZWI8q74/suqxfjZiH5+6Gl6AAQ6moBfwczZJSK8FdSEVZFeejs2AYCZgLydPLAUHuY8rk4lFCI1/68iQqRBE93sA7qSl1MFXZTfLFZ5HQvzM0CLx5IQmJ+LWb9cAUbl4XpPHmyN0ipRiVBAJwO1hkIgkCwiwWCXSzw2oP+yK5owNW7lbhytxLXsqpQL5bj0u2KVqsNpnwO3K2N4WljAkdzAaxM+LAy4cKUzwWbBUZyvv1KDrIrGpBf3YTsikZkloogUvOZ4nFYmB3siGcm+cCbagYaMGBg8PHxv+moF8sR5GyO1QP8HNIklWP97/EQieUId7fE27MC+/uQeo26n9QoSiXEYRGQAD1Suw5GbhbWolmmgJUJD7522m0YRGdXQipXwsaUj3qxDJUNEmRXNrY6L00NtEd0dhXOppfh8bHt19vuNWYGOeL5/UmtPlekY1+ptkzwtcXBJ0dj3a54ZFc2Yt6ma/huSSimBrb3uOoN5kZcLIt0w7YrOdh2OQcTtUjbNDfm4odloVi85TqOJhVjrI8Nk1jYE24V1eFWUT14bBaTwGduxMUXC4Px6PZY/Badh2mBDloN7CyMeVgY7tJr39ppgfb4+7mxWP97HG6XNWDZL9fxzqwArIry0LkSVsBl440HA/DM3gRsu5yNVVEeHaam9wcGpZSB+5pSSibpYC7os8ekpbIWPVRmpRbXQaZQwcaUD1cNdpfbsi82H6u2x0IkkSPSwwqHn47qVUMKAGP+LRR0/JzolavuvJ2+PJmJy3cqYcRl45dHIrRWk6UW1zHxurpOI+KwWZhGnbBPpXa+mnaWmu6FulrAzqzldUUQBKOW2htzbxmeAy2/+yapAl8tCsZTE8lI4C9PZuL9v1PbqcvoBBTa+L87pgTY49/nxmGokxDVjVI88msMvj19u1vVWl9BN6W4bJZGRYSXrSkeGe2BLY9EIPHdafj72TH4eO5QLAx3ga+9KVgEmSCZWlyPf2+WYOvlHHx+IgOvH0rBM3sT8OTuBOa+4vJq8NWp2zgYV4i4vBqIJHKYCTiYGmCHzxcEIe6dqfhmcaihIWXAwCDmfGY5/kkuZrwftR3Y9CUqlQpvHk5BZpkINqZ8/LRieK8ScAcKbf2kAIDPJYdtkgG6Wq5raD+pUV7a+0mdpqwNHhxmj+FuFgDQSjkFAFMpVXpsTrXeVssGEh3VxcU6TODrjKFO5jj67BhEelqhQSLH2l1x+OHsHZ0bYK8Z6wk2i8CVu5VIa5M02B3h7lZ4aZovAOC9o6k9Shum2RWdCwCYNtS+lcH+eF9bPEJZGbz6Z3K/veY8bUxw5OkxmB3sCLlShQ/+ScPz+5O0CrLRlJlBDhjqJESjVIGtlweOWmrwnyEMGOgFZdTetr2w75pSdINGwNUuiY4mhVJJBbuYa9VBl8qVeOevFLx5OAVypQoPhTjh97WRvVojpKHX84w78YyiJ4gdKUhojiQWYgtlTv7louBWiW6a8vmJTADAnBAnJp5VlzxAeVuduFXa6YmbTvagCyt15oU5Q8BlIbNMxJjV3yvQSimRWA6CIPD6g/54jzKr3BWdh8d+i2uVXEgb13enlFLHzdoYh56KwpIIVyhVwPdn72DJL9dRUK1ZY0uf1FOFjClfewEyh81CsIsFHhntga8WheDUixOQ/vGDOPPSePzySDjemumPJ8Z5YsFwF0zys0Wkp1W71M3FES54YeoQbFwWhv+eH4ek96Zj26oRWDLCrdNmsQEDBgYHTVI53jlyCwDw+FhPvZzfdMnOa7k4mlQMNovApuVhfVpj6ZN2flIABFSzTZfpqgOZ6zl0U0q71T2lUoXTaWR99MBQB+b219sk9rpbm8DHzhRypUqrla/BzLLI1gogXSfwdYaNKR971o7Eo6PJpsw3p29j3e/xzEaHLnC2MMJMal1u2xXtGyBPTvBGlDfpLfrs3oQe/Z2V1DXjCGXs/diY9uq7N2f6w8PaGCV1Ynzyb5rW968rTPgcbFwWhndmBYDNIvB3cjHmbLzCbMfoCoIg8MJUstn327VcVLWxgOgvDE0pA/c1FdQfop1Z7xLstEFONTPYPYxDvlVEThq0KUorGyRY+WsMdl/PB0EArz7gh++XhoLP6VljrC20WZ4Jr+MLchnTlOr4LScmuwqv/Ukamz810Ruzg520PobzmeW4dLsCXDaBV6b7an17TRjjYwMTHhul9WLc7OAk0SSV4+pdMp2vIxm0uRGXkQ3vvJqrl2PsLzqaFj821hObVw6HgMvCpdsVmP/TNeRTK7O0Uqq0XqyVebmAy8bnC4Px/dJQmPE5iM+rwczvL+NvLdJd9EG5SLfvJXwOGz52Zpg+1AHrxnvj7VmB+HpxCHasicTB9aPxx5NRjKfJxmVh+GJhCF6Y6os5IU4IcBT2+P3FgAEDA49vT99GUW0znC2M8OI0/ZzfdEV0VhU+OUb6Xr05wx8je2CGPVC5ntXaTwq4v5RSErmC8ZPS1uQ8saAWlQ0SmPE5GOlprdaUqmqnHJ8aQNZPZ9LujxS+tunSxX3om8lls/DR3GH4bH4QeGwWzqSXYdYPV3SaFL2WWsP8J7kYZVoaebNZBL5bEgprEx4ySkX45Jj2TaMtF7MhU6gwysuKUTiqY8zj4MtFISAI4I/4QpzXINBIXxAEgbXjvHBg3Sg4mZN+V/N/uoZd0bk63bCYGmCHIGdzNEkV+JVKOu9vDE0pA/c1YhlZRHTWTNEHmqiGuoLumAdp2JS6VVSHuT9eRWxONUz5HGx7NALPTPLR6Z5yd0bmCiX5c2az2z9mVkUD1v0eD5lChZlBDnh1unbG5gAgUyjxf1QRvDrKo9friJ0h4LIxkfKJolM81DmXUQ6JXAk3K+NO0xxpL6kTqaV9Ng3rC3iUBF3aJsr4wWGO+PPJKDgIBbhb3oC5m64gNqca1iY8CLgsqFTokXH53FBnHH9+HIa7WUAkkWPDvkS8fDBZL1JnTaALLds+bHDXNZPPVdhDfzoDBgwMfNKK67GdGmJ8Mm8Yo9AZiBTVNuPZvQlQKFWYF+p0T3kCqVQqtdS5Ft8Z/n2klErKr4WE8oTysdNuHfxUGlkzTfK3A4/DQqirBXgcFipEknaBJ7TS/EJmOWQDZEVfn5i3OYdfy6rq5Dv1x9JINxx+Ogoe1sYoqm3G4i3R+PlClk7W+UJcLRDpYQWZQoXfruVqfXs7oQDfLAkFAOy+no/jKSUa3zarogG7r5PhR89NHtLp943wsGJUVG8cvtnvgUQRHlY4tmEcpgbYQapQ4r2jqXhqd4LO1gsJgmCS+PbG5qNZ2v/vX4amlIH7Glqh0ZdeB3RTqidNoWapAneolAxNmlJ/xhdi4eZrKKpthqeNCf56JgpTAnRrZAiore910pSSK8jnzG2jlKpulOKxnTdQ1yxDqKsFvlkcqrVHAUB6NN0tb4CVCQ/PdnHS0QUPUit8J2+Vtpta0CfKmUGOnf5+/R2EGOVlBYVSxaQE3gvQf0MyRfsCZpgz6V0Q7GKOmiYZVmy7jt3X8+BMJfYVVPesOedqZYyD60djw5QhYBHAoYRCPPjdJVyj1Gp9SVYF6XXgbt13aVgVIrIRZqWDFVwDBgwMPJRKFd49egsKpQqzghxbhWcMNMQyBZ78PR5VjVIEOgrxv/nBOjfp7U8KqptRXCcGl01guLsF83nBfaSUilZLHtT2d3ua8uKcPpSsQQVcNsJcLQC0X+ELc7OElQkP9WI5buToL4lsoNB27b+/TPOHOZvjn+fGYk6IExRKFT4/kYGVv8Zo7P3ZFY+PIxs+e2Lyme0KbZjga8t4lb7+501Gdd8VKpUK/3csHXKlCpP97boNx3lluh88bUxQVi/BR/24xkdjacLD1kcj8O7sQHDZBE6klmLm95d1pmKbGmAPVysj1DbJ8FdSkU7uszcYmlIG7mtkCs0MuHUJPVWT9GCqllZSD6WK3AO3F3auyGiWKvDan8l45Y9kiGVKjPe1xV9Pj4GPlkkpmkJ32DtTnHW0siiWKbBuVxzyqprgYmmEbasieuSzVdckw7dnbgMAXpzm227ipGvoKV92ZSMySltidJukcpyjJL903GxnrI4iT857Y/Lvmekq/brubBXPXijAgXWjMTvYETKFCu8eTUVWBTkdLdVSzq0Oh83CS9N8cWD9aDhbGKGwphnLt8Xgnb9S+lQ1lUm9FvwctPdC6wl1zTJUNpC+Dx42AzsW3oABAz3jz/hCxOfVwITHxruzB256nUqlwttHbiGlqA6WxlxseSS8U+X0YIVWSYW4WLRSq91PSqnr2T3zk7pb3oDsykbw2CxM8LVlPq++wqcOm0VgSheq9HuNjmrn0jr9m513hJmAix+WhuKz+UEQcFm4llWFB7+7jP2xvQvomRpgDw9rY9Q1y/BHXGGP7uOlab4Id7eESCLHc/sSurV+OJpUjHMZ5eCwCLw9K6Db+zfisfHVomAQ1JDzbHr/r48SBIHHx3ri0FNRcLMiVWyLNl/DVycztbK+6Ag2i8Cq0R4ASG+p/g5gMjSlDNzX0F4AfVlM0Gqiph5IJdNKaD8pYadTquyKBjz801UcjCsEQQAvTvXFjtUjYN7DtD9NaKSmHp0VoXRCGoda35MrlNiwLxFxeTUwE3Cwc80I2Jj2bO3p+7N3UNskg6+9KZaN6HlcrKaY8jmY5EcWVeo+RucyyiGWKeFqZYRhzl03JqYG2MHZwgg1TbJ+90LSFbRSStqF1N6Ix25l4kgTk917qfoIDyucfHE8k6Ky+3o+Hvj2Eq7c0b9qSqlUIaWQXKsNdNRP47ctdynFpJ0ZH2YGI3MDBu45ahql+N9/5Fr6i9N8+zQlWFt2RefhUEIhWATw4/Lh7Txy7gU6a8gI+qGO7A/EMgUS8msBAKO9tWtK0at7o72tW52vuvKVos2x/+siWOZegQ4J8rJtsZ74jhq29gcEQWBppBuObxiHcHdLNEjkeONwCtbsvNFj2wk2i2DWebdfzemRGozLZuGHZWEwN+IiubAOX5zI6PR7i2qb8e5RMhzi+SlDNE4fDne3Yjyw3jyc0u9rfDTBLhb4d8NYzAt1glIF/Hj+LuZtusoMRHvKoghX8DgsZJSKWg3a+wNDU8rAfY0pdSLoS0UFPWFr7IF8NYuKQ/XtxK+ITmrIKBXBxpSH3Y+PxPNTh+jd9Fgi6zpRkD73sIiWqOhTaWXgcVjY8kh4jxVcWRUNTMzru7MD+ywie24oaVb+d1IxUyxpsrpHw2Gz8AiVdjIQphO6oMVTquvJDW3iuO+JUczn/ogvxF+JvZcOm/I5+HjeMOx9YiRcLI1QVNuMlb/G4LU/k1HdqLs0mbZklIpQ1SiFMY+NIGcLvT2OOjHUSkOYW988ngEDBvqWL05moqZJBj97M8aLcCASk12Fj6lVlzdnBHS7IjMYUfeTatuUolevGvvJz7CvSMivgVSuhJ0ZH1422vl2nmqzukcT5mYBHpuFcpEEuW3WsaJ8rGEm4KBcJEFC/r2VVtwW+jUkVhtW779R0O8+P162pji4fjTemukPHoeFC5kVmPL1Rfx8IatHKp0F4S4wN+Iir6qJSWLUFmcLI3y1KAQAsO1KTodm+M1SBdb/HgeRWI4wNwtm7U9TXp7uBy9bE5SLJPjwn9QeHac+EAq4+G5pGH5aMRyWxlykldRjzsYr+OVSVo9XPs2NuMyg/WhS/w7JDU0pA/c15kakF0tfxmEKjciTT20Puu93qaaUT5uOf71YhhcPJGHDvkQ0ShUY6WmF4xvG9Vlx2J15O90UUyiBT4+n4494cqK6cVkYorx7foz0rvgUfzuMG2Lb/Q10xGR/O5jyOSiqbUZCfk2r1b3ZQZolBy4d4QoBl4XU4nrE3gOeCfTvWK7UrFCJ9LTC+glezMcvUK9fXZg4Rnnb4OQL45mY44NxhZj89QXsjcnXy8SVjq2O9LTqM3+6a3dpw917J9nKgAEDJIn5Ndh/Ix8A8PG8YX1qMaANxbXNeHpPAuRKFR4KccLacfeOsbk6nflJAS01HR08ca/SkjxorZWfVFm9GEkFtQCAaW08TQVcNjNYudLGC5LPYTMpfMdT7u0VvpZhtaJVSM6hhJ6tuekSNovAuvHeOL5hLEZ4WKJZpsDnJzIw84fLuJalnRLdmMfBylFuAIBtl7N7fEzTAu2xZowHAOCVP5NbqbcUShVeOpiEW0X1sDLh4YelYVoPrAVcNr5aFAIWARxOLOpxA01fzAxyxMkXx2OKP2mC/unxDCz4+RrSiut7dH9zQsjrljP9vK44MM9yBgz0EbQpcV517038NMXRnDR37omPDt2U8lZLPbmeXYUZ313GkcQisAhgw2Qf7Fk7EnbCvpP6KyilD6uTQoVuWPx4/i62XiajRz9fEIwHKNPwnnA6rYzZFX9Lg11xXSLgspmJ39GkYpzPqNB4dY/GwpiHh8NcAABbe3FyHijQYi+2FsVqoGPLz4rNIvB3cjFmfn9ZJ+t8JnwOPpo7DIeeGg1/BzPUNsnw1pEUzP/5GpNgqQtUKhWOJJKF4/TAnr+etaG8XswUgxP8Bq7xsQEDBrRHQZmbq1TAguEuiPS06u9D6hCxTIGndpPG5gGOQny+4N4yNlcnOpt8v23rJwW0pJ/WiwfGmo++oM3ItV3dO3GLbCiFuVl0WJeOG0IOJq/cqWj3tRnDHKj7KLknFOWdYUJtbTRK5LBT84vdfiVnwKwu+tiZ4eD60fh6UQisTXi4W96A5Vtj8NjOG8go1bwZsmq0B7hsAnF5NUjshQLujRn+CHI2R22TDBv2JUKuUEKuUOLFA0n471YpuGwCWx4J7/Eq8XA3SzwxjhycvnUkBTV6VNv3BDszAbatisBn84NgxucgqaAWc368gv8dT9faSH4MJQ64W96Ayj4UabTF0JQycF/jQTWl6OSsvoD2hdDWxFAkljGNLB87U4hlCvzvv3Qs23odRbXNcLMyxh9PRuGl6X59tsZGQ580ac+ottCNikuUouSdWQFYFNFz/6dmqQIf/E1KateO89J4V1yX0Ct8x1JKmGmWJqt76jwxzhMEAZxJL8edsv7d5e4tym4akx1hS/mI+diZ4o8nR8OdiiJeuvU6PvonrUcJLW0Jd7fCv8+NxXuzA2FKnbgf+vEKXv/zJsp6YbBOk1xYh9tlDeBxWJgV3LXBva44nFgEpQoY7mYBTy3XKAwYMDCw2ROTh1tF9RAKOHhzpn9/H06HqFQqvPPXLSQX1sHCmItf7kFjc3W6asgIKY+keh1FtQ9EmqUKJBaQDQRt1bn/3iRXgjoLgKFV7tfuVjH+ozTjfW1hwmOjuE6M5ELdDZMGGibU+p5cqYKFWppudmUjo8IfCBAEgQXhLjj38kSsGu0ODovAuYxyzPj+Ml46mITcysZu78NOKMBDIWT9vO1KTo+Phc9h48flYTDlcxCXV4P/O56Op/ck4O/kYnBYBDYuC8MIj9419F+c5gtvWxNUiCT4YACt8dHQ3l9nXp6AmUEOUChV2HIpG9O+uYRTqe0TwjvD0oQHH0rsoMuhrbYYmlIG7muCXCwAAOkloj7zA3CkmlIFWqqzsqmkMlszPjJLRZj5w2VsuZgNlQpYEuGK48+ThoT9AZ2u11lDIlOt4fLcZB+sHefV4fdpyqbzd1FU2wwncwE2TPHp1X31lDHe1rA24aG6UcoUDfMp5ZOmeNma4gFKXfPLpcGtlqKbUtoMyq2pplR1oxTD3SxxbMM4LI5wgUpFGmFO//YSsxrXGzhsFh4b64mzL0/AQyGkSeSBuAJM/PICvjl9u1d/+z+dvwsAmB3kqPfkR4C8ONhGqQ2XRrrp/fEMGDDQd1SIJPjyZCYA4NUH/XscAKJvfr+ehz+pNfwfl92bxuY0XflJAWDe93Wxej5Qic+rgUyhgqO5gNkw0ISSumbcyCWbWZ0NbYY5m8PCmAuRRI7kwtpWXxNw2ZhMrfD9R/l23osYq/mxmrRp7g5EJb25MRcfzh2G0y9NwKxgR6hUwOGEIkz++gKe3ZvQbWODXvP9L6VE62shddytTfDZgiAAwI6ruaRXLZuFn1eG48FhvR8SCrhsfL04FCyC3IoYqEmQ9kIBfloRjl9XRcDZgvRTXfd7PJZsua6xGs2deg8vru2f1EfA0JQycJ/jbGEEZwsjKJQqxOX1jZHiEMrUO7NMpJUcObeKbEpViCRYvCUa2RWNsDXjY8sj4fh8YTBjlNgf0EqpjgzVd15tmYQEOArx0jTfXj1WVkUD08B5b87QdlL6voLDZmG2WpE11EkIPwftDdtpX6W/kopQUtezVJOBAGNmr4WpvpmA/N2JxDKoVCqY8jn4YmEIdq4ZAWcLIxTWNGPV9li8eCAJ5TpQNdkLBfhhWRgOPTUaw90s0CxT4IezdzDhywvYFZ2rdXpSUkEtTqWVgSCApydpZ6TZU369ko3KBglcLI3wcJhznzymAQMG+ob/HU+HSCxHsIs5lg/QpnNsTjU++oc0Nn9jhj/GDrn3jM3Vya9uQgntJ+XWfvB3P6zv0evi2vpJHbtJNpJGeFgy1hVtYbMIxv/00u32HkUzqRW+/25prvwYbHDYLPApP0pacRjhbgkOi0BMTjWT7jvQ8LQxwablw3H0mTGY6GcLpQr492YJZm+8gqW/RONoUlGHdVWAoxDjhthAqSKbST1FLFMgr41B/sblYZgWaN/JLbQn1NUC6yeQ9d3bR1L0GprTW6YE2OPUi+Px9ERv8DksxOZW4+GfruGp3fFIpnzdOoPedFH049+YoSll4L5nvC8pHT52s29SB3zsTMFhERCJ5SjWcIVPpVK1m5YsiXDFmRcn9MqXSVfQb2Jt/YR2Xs3BB1TxCgAvT/PtleeESqXC+0dTIVUoMdHPFg8M1d2JpycsDG9ZQZzs3zNvnzA3S0R6WkGmUPXq5Nzf0MWiNr9duiklU6ggUUtymehnh1MvjseaMR4gCPw/e3cd3tTZ/gH8e6L1pu5CHSulxYo7DNhgMBgymLAxNmTCfO8Yc2H2Y2M+mGAbg43hw51CS40ape7uFju/P04S6Kg3jZT7c1293ndtTvLktCQn93ML/orOw/hPTmPzqZtaGbsd5mWLPU+NxDdLQuFtZ4bS2ias35eA8RtP4+cLGR16DLlCidf2xgMA7h/s1uUJkp2RWlSDTSe4zKwXpgYabPNjQkjnXU4vw97oPDAM8M7sAT0+NbcrCqoa8PT2KMiVLO4d5KrpudKbqbOkQjwkLZYo3sqU6r2Nzi+ompyP7GQ/qf2qoJS6kXJrxqoCm+da6Cs1PtARpkI+ssvrEa/H0qKeZqb62xILuP81FfE1G58/nje8bKnbDfKQ4OdHh+HQ2jGYHeIKPo/B5fRyPLMrBiM+OIE3/r6OizdLm5VnLh/NZUv9fjW70wHdeqkcOyKyMfGT05rMUrVfLmZ2eRJda56d7A9/RwuU1krx5j+GV8Z3O3OxAC9ND8LpF8fjgTB3MAwX0J29+QIWfX8ZB+Ly75jqKFMocT2P6wvmJtFdP+L/oitactebHcK9WR6OL0StDkr4RAKepna3I7sfyYXVWPTDZc0LBgDseHw4PnogGNZmPV8u1BHqYJQ6OMWyLL46mdosIAVwL3zdcTC+AOdvlkIk4OGt+/rrvamqujklcKvRd1esVGVL7YjINtoSAKnqd9uZQIm5SKAp9/vvRYm5WIA37+2Pv54ehRAPCeqlCmw8moJJn57B/tj8bjf/ZBgG9wx0wb/PjcM7s/vDxdoEhdWN2LA/EWM/PoUfzqa3eaH00ZFkJBZUQ2ImxOszer7RflW9DE9ui4JUocSEQAfN6xYhxPjJFUqs33cdALB4mCcGeUj0u6AWNMoUWLntGkprpQhytsRH8wbq/T1YF9T9pFoq3QMAG9V1mKE1QtaWqgYZ4lVldZ2Z6JxTXo/YnErwGOCedkqpRqv6SsXmVt1xDWQq4mNSX27TT98j63uSenKvunyvsl6maXVxIK6g2YQ5Q9XP1Qr/t3Awzr00Ac9O9oertQkq62X47XIWFv8YgaHvHcczu6KxIyIb7jZm8He0QJ1UgV1Xstu970aZAqeSi/H6X/EY/v4JvPZXPPKrGuFsZYLPFgzC8efHwVTIx8W0Mk1bBW0RC7hpfHweg/2x+UZRSupibYpP5g/CkWfGYu5gNwh4DC6ll2H1jmgMefcYHt16BZ8cTcFXJ1Ox5IcI5FU2QGImxPA++pvorL96H0IMxDBvW/g4mCO9pA6/XcrCU+N7vgxnqLctkgtrcDm9DNMHtJzpVFrbhC9PpGJbRHazqP/6Wf0wshMXBrogFPCAJu7CWqlk8d6hJPykamC4ZqIfYnOrcPZGCeqlXc9yqaqX4S1VkOvp8b7wstN/g+e/o/M0//9EcjHWTe1aJtiEQEcEOlkipagG2y5nYdUE/fTJ6g71zotZJ5rd8ngMLMQC1DTKUdMoR0vJRiEeEux9aiT+ic3Hh4eTkVfZgDU7o/HVyZtYO8kf9wxw7lTJ4H+JBDwsDffGgqEe2B2Zi69P3UR+VSPeO5SEL47fwPwhHnhkpDe8b2so/sfVHM0UyffvH6jpjdVTqhtlePzXq0gvqYOrtQk+eqD3Trki5G607XIWbhTVwsZMiBenBep7OXdgWRbr911HbE4lrE2F+H7pEL2VzutSe/2kAK7PJ8BdsymVbLfejwxRRHoZlCzgY28OV0nLJXgtOaDKkhrhY6c5R61xk5hqrsMvpd15XTwnxA0H4gqwPzYfr83oa5BZhN2l3tBTZ+NVNcgwwM0aI3xscTm9HL9czMSrOtgA0wZXiSmenRyANRP9cS61BIfiC3AssQgV9TLsi8m/I7j4/qFkFFU3wclKDFMhHywAqVyJ0lopiqobkVRQjZvFtZr+tQDgaWuGh0d6Y8lwT5ioenK9O2cA1u2OxefHb2BYH1sM72RT/rYM8pBg5TgfbD6Vhv/9fR3D+tj2+LWfNgQ6W+KzB0PwwrRAbI/Iwt/R+cirbMCplBKcSrmVmSji8/DxvGBN03196P3vKIS0g8djsGq8H9btjsW3Z9IwL8wNjpY9m7440tcOv13O0tTp366qQYYfz6Xjp/MZmiDOPQOccT61FDVNcvg66n7SXHsEqguEBpkCL/4Zp5lG98asflg+ug9W/hYFAKjvRunV+4eSUFLTBB8Hc6wcp5v+PW1RKlnsvS0olVRQjet51Rjobt3p+2IYBivH++C532Pxw7l0PDzSW689wrqiTvW3atrJDypWJkJNUKo1PB6DOYPdMLW/E74/m46fzmUgpagGq3ZcQ4CTBVaO88XMYBdN2ntXiAV8PDTCCwuGeGDvtVz8dD4DqcW1+PliJn65lImx/g54IMwdpbVNePvAreDojFYmCmlLTnk9nvwtCokF1bAUC/DTI0N7/PWJEKI75XVSfHbsBgBg3dTAZtO3DMW2iGz8EalqbL54MDw70ezamLXXTwoA7C3EYBhu4Et5vdRgm9N31UV16Z5f16buzQruWFbvWH8HpJfU4VxqyR1BqbEBDpCYCVFc04TL6WWdytgyFiJVUEodFKis5zLvnhjjg8vp5dhxJRtrJvkb1bUhn8dgfKAjxgc6Qq5Q4mpmBS6lleJyRjliciohva1tw08dmMTnYm2CiUGOmD7AGaN87e8IAM8Lc8fFtDLsuZaLtbuicfiZsbA1197r6dpJ/jieWIyUohqs/ycBmxeHau2+e5qrxBQvTgvCC1MDEZ9XhWtZFUgtrkWTXAkvWzPMDnHT++u68fxlE9KDZoe4YuvFDFzPq8Zre6/j+6VhPbrbNcLHDjwGuFFUi5zyenjYmqG6UYZtl7Pw3Zl0TfryIHdrvDw9CCP97BG84SgAwNXa8D6Qqnd4Htl6FeV1UvB5DDY+EIy5odw0OnX2TIO0a+WRF26W4vfIHDAM8PG8YM2uiD5dSCtFbkUDLE0EGOFjh2OJRfg9MhsD3Qd26f7uDXbFlyduIr20Dr9eysTT440rW0r9u+1MphRwa1fwvzXuLTETCfDs5AA8OrIPtlzIwJYLGbhRVIvn/4jFeweTsGiYJxYP9+zUbu5/iQQ8LBzmiQeHeuD8zVJsvZCJk8nFOHOjpNkkQG007W+LQsliT1Qu3jmQiJomOewtxPj50aHo62LVY49JCNG9T/9NQXWjHH1drLDIAJubX80sx1uqPiovTQ/CGFWp1d3gkiogM9jDpsV+UgB3/WNrJkJZnRQlNU29Lih1/ia3eTrKt+OBoPSSWiTkV0PAY1qtBvivMf72+PliJs6mloBl2WbZwCIBDzMGumBHRDb+js7rnUEpVfme+hqqulEOhZLFhEBHTRbZH1dz8JiqF5OxEfB5CPe1Q7iqL5lMoURmaR3W7IxGciE3oXtOiKumFYSAx4OdhQiOlibwc7RAP1cruFqbtJsl/vbs/ojOqUB6SR1e2B2LH5cN0drnOXUZ35yvL+BgXAFmDSzAPT28MaltDMMg2F2CYNX0eUNCPaUIAfdi+fG8QRDyGRxPKsLGf1PaP6gbbMxFmhfmH86l4/1DSRj5wUl8fCQFVQ0y+Dta4LulYfh71SiM9LOHTKFEtSqTxBDTRYtruIbt5XVSmAh5+O6hME1ACrgVeKhr6nymVL1Ujlf2xgEAlo3wwhBvWy2suPt2RHA18HMHu+HhcG8AwL7ofNR1sS+ZgM/D6olcIOqHs+k66W+mTfVdKN8DbmXZyZUd7zdmbSbEc1MCcP7liXhxWiCcrUxQVifFV6duYvRHJ7Ho+8vYEZHdrSkpDMNgjL8Dflg2BC9MvTP4lFRQjaHvHce6P2Jx5HoBquq10wusSa7A/th8zNx0Di/tiUNNkxxDvGzw19MjMcCt81l4hBDDlZBfhZ2qfiob7u1ncGVJBVUNeGrbNciVLGYGu+DJsb2/sfntbpXutX3doS5PK65p6vE16VJRdSNuFteCYaC5Zu2Ivde4LPIx/vYdzlQZ4WMHEZ+HnPIGpJfW3fHzOSHctNkj1wu1MvDE0Kg3d2/fdK1plIHHYzRNwbdcyGjWLNyYCfk8+DtZYvvjwzWTBxcO88TXS8Lw9ZIwbFo0GG/e2x9PjffFlH5OcJOYdqhtgblYgM2LQyES8HAyubhDGVidMdDdGk+r2ry8sS9Bk9FGuo+CUoSo9HO1wgdzgwEA35xOwzsHErvdTLk1LMvCQRVc+vVSFr5XBSH8HS3w2YJBOPLsWEzr76x5Ab698aOViWElOF7LroBMces8/fFkOCb/ZxyrOh25oQsXEp/+ewM55Q1wk5jixelB3VuslhTXNOJYYhEAYNFwT4z0tUMfe3PUNMnx120lfZ113yBX9LE3R0W9DL9eytTSanWjrotBKfWFmFzR+X9r1qZCrJrgh/MvT8A3S0IxwscWSha4lF6G1/6Kx9D3juOBby7is2M3cDm9rMOBPpZlkVJYg69OpmLcxlP45F+utMbF2gRPjvPB3FA3WJsKUVEvw55ruVi57RoGvf0vpn1+Fq//FY8/o3IRm1PZoQAly7IoqGrAofgCvLInDiM/OKnZObQ0EeC1GUHYtWIEPGzvjnIZQu4WLMvirX8SoWSBmcEuWu1/og2NMgVW/BqF0tomBDlbYuNd1suOZVlEZHBNztv73aiDUiW9LCilbjExwNW6w2WlSiWLvaoWDrdPKG6PuViA4arg34mkojt+PsTLBq7WJqhpkuNUcnGH79dYqDOlWPbWdVSlarNrXqg7bMyEyK1owNGEO8+NMbOzEGNeGLeJ/eM57UwZ7OtihTfv7QeAG0oTnV2hlftVWz3RTzWN71Y7B9J9hvXplhA9eyDMHeV1TXj/UDJ+Op+B+LwqfDwvuFmT4+5IK6nFobgC/HktF1ll9c1+tuWRIRgf4Nhimqn6jcnKRACBgYyBZ1kWu67mNBuP+vbs/i2mhKrfYDub/XMtuwJbLnC7HO/dP8Bgaul3R+ZCrmQR6ilBkDNXTrV0hBfePpCIXy9lYslwzy5dvAv4PKyZ6Ifn/4jFD2fT8XC4t16bDnZGeS23W9TZ+n0hnztP3ZnMKODzcM9AF9wz0AU55fU4GM81RE3Ir0ZkVgUisyqw6UQqAMDLzgx+DhZwtDKBg6UYYgEPfB6D+iY5yuqkyC6vR2J+Ncpuy7KSmAnxyEhvPDnWV5P1J1coEZlVgWOJRTiVXIz00jqkFNUgpagG2yNuTZJxsBTD3kIMB0sxzEV88FR/F9WNMlTUS5FVVn9HPy0nKzEeHOKBx0b3Mcj+MoSQ7jsQV4ArmeUwEfLwmoE1MGZZFi/viUN8XhVszIT4Ydnd0dj8drkVDSioaoSA13o/KTV1UKqoulEXS9OZCzc730/qUnoZ8qsaYWUi0EzN66hJQY44l1qKE0nFWDG2ee9QHo/BfSFu+PZMGv6OyTO6sqn23H4tJDEVol6q0GxImwj5WDrCC5tO3sSP59MxM7h3Pfflo/tgR0Q2TiQXI7O0TiufuRYP88TFtDIcjCvA6h3ROLR2jNYmlosFfHz0QDDmfXMRe6/l4d5gV0wI6tzfOrnT3fUOQ0gHrBjrCycrE7y6Nx5XMsox+bMzmBfqjqXhXujvatWpYEO9VI5rWZW4mFaKY4lFSC2u1fzMQizQBGkmBDpgYpBTa3ejSQ+10WLDvu5okCrwv7+vaxqaq5m3ctEqMeXeCDpT4lQvlWPdH7FgWa5EbnygYbzgK5Usdl3lgg6Lh3tpvv/AEHd88m8KbhTV4lJ6GUZ2ov/C7e4b5IpNJ1KRWVaPny9mGs0kvvI6boe4s0EpdZBV1oVMqZZ42Jph5ThfrBzni5zyely4WYoLaWW4klGGouomZJXV3xEQbolIwMNoP3tM7++Mewe53tFPRMDnYYSPHUb42OGNWf1QWtuEyMwKXM0sR2J+NVKLa1Fa24SSGu4rqY0JwnweAz8HC4zys8e4QAeM8rUzmOAzIUT7GqQKfHAoCQDw1Dg/uHWjD15P+O5sOvbF5IPPY7B5Sehdmal5RZUlNdDdutV+Umruqt9fXmVDj69LV1iWxYUu9JP6M4q7Lrx3kGun+39O6uuEDfsTEZlVgap62R1BhNkhrvj2TBpOJZe0+HNjJlINapEplLAyFSK/qhGVt1VJLA33xrdn0hGdXYmorHKEeRlGKwtt8HWwwPhAB5xOKcHPFzOx4b7+3b5PhmHwwdyBiM+tQnZ5PV7eE4dvHgrVWrZnqKcNHhvVBz+dz8Brf8Xj3+fGwtKk9/w96gMFpQhpwewQN4R62uD1v6/j7I0S/B6Zg98jc+BtZ4ZhfWwx0F0CN4kJHCxMIOAzYFkuC6ikpgkFVQ1IKeQyJpIKqpt92BbyGYz0tcesYBfMDHZBcXUTJn56GqdSSnA1sxxDW+mXpN4tsTKAF7z0klo8vf0akgtrwGO4aUHX86pw+HohahpbDjrZqkoVy+o6ntr+waFkZJTWwdnKBG/e2/03KG05d7MUOeVcg/OZt+3UWZkIMTfUDdsuZ+OXi5ldDkoJ+DysneSP5//gpkEuGe5pFNky6swiW/PO9Tzjqy4QFKz2S2U9bM2wcJgnFqqaB5fXSZFUUI3s8noUVTeipKYJMoUSciULMxEfduZiuFiboJ+rFQKcLDt1QW1vIcb0Ac7NmrpW1kuRW9GgCU41ypVQKlmwLAsrUyFszERwtjaBj4N5tyYHEkKMyzdn0pBf1Qg3iSmeHGdYfZpOJRfjoyPJALg+V119LzN26qDUsD7tf/h3VwXtcsrb3/AwFhmldSioaoSIz2v12vS/apvkOHK9EABXedBZHrZmCHCywI2iWpy+UYzZqj5San1drBDkbInkwhr8E5ePpSO8Wrkn46NKlIJcycJS1abj9hYADpZi3D/YDb9H5uC7M+n4flnvCUoBwGOj+uB0Sgl2R+bg+akBWvm8Y2UixFeLB2PeNxdxJKEQv13OwjJVD1hteGFqII4lFiG7vB4fHk7Ge/d3bdAR4VBQipBWeNia4dfHhiEqqxw/nsvAyeRiZJbVI7OsHn9E5rZ/Byqu1iYY4WOHMQH2mBjkBGvTWy+03vYCPDjUEzuvZOPdA4n46+lRLZbvqcemmgj1lz3Bsiy2RWTj/YNJaJApYG8hwqZFgzHS1x4v/8k1Im+tPM9WFVSpqOtYptSZGyX47XIWAGDj/GCD2g37WVVOOC/U/Y7d04fDvbHtcjaOJRYht6Ie7jZd212eHeKG78+mI7mwBl+fTjO40o6WVKiy+ew6mSmlbnAu1EGDX1tzEUb52WNUjz8SR2ImMoqAIiFEd3Ir6vHdmTQAwOsz+xrENFm1m8W1WLszGiwLLBrmiYd60Yf+zrqaqQpKdSAg42HT+4JSF1STB0O9JO1miqkdii9Ag0wBHwdzhHhIuvS4E4OccKOoFieT7wxKAcD8IR5450Aidkfm9Kqg1O0ZPOrXhP9OJX5ibB/8HpmDY0lFSC+phY+DhU7X2JPG+NvDz9ECN4trsTsyV9PcvbuC3SV49Z6+ePtAIt49kIRQTxutDY0xFfHx4byBWPxDBLZHZGNWsGunBgKQ5qg+gJB2hHnZ4puHwhD1xhR8vzQMqyb4YmKQI/q7WsHJ6la/GG87Mwz1tsHMgS54ZpI/vlkSirMvTsCFVybiswdDcP9g92YBKbXnpwTAXMRHbG6Vpn/Sf6lHpKobIepaYVUjHt56FW/8fR0NMgXCfexwcO0YzQ6qelfnv71x1GzMuedd1oFpaBV1Ury4OxYA8MhIb4MaP51WUotTKSVgGG5t/+XvZIlRfnZQssDWC5ldfhw+j8HL93BN3X++mIl8IygJKK1RBaUsOheEUWcSUrkaIeRu8P6hJDTJlRjhY4t7bsus1LeqehlW/BqJmiY5hnnb4q37+t9Vjc1vV1zTiPTSOjAMMKQDZVKedlxQKq+yAYoeGpCjaxe7Ubr3QJh7l/92Jqv6UJ1OKWlx0tycEFcI+QzicquQVFDdpccwdOo+rP8dDuTnaIlJQY5gWeCHc9qdKqdvDMPg0VHeAICfL2Zo9d/Ro6O8MbmvE6QKJVbvuKbV6dYjfe2xSJWN/8reuDsCiaTj6FMAIR1kIRZgan9nvDgtCFseGYqDa8cg4rXJiPzfZFx9fTJOvzgBu1eOxOYloXhuSgDuGegCTzuzdt+YHSzFeH0mNyXi4yMpSMivuuM26kwpoY4/uCuVLHZEZGPq52dw9kYJxAIe1s/qh+2PD4eTlYnmdhJVJlN5K0EnO1VJV0W9FGwbZVosy+J/+66juKYJvg7meNlApu2pbVUFDScFObXaiFHdnHPnlWxUdCAI15rxAQ4Y4WMLqVyJz4/d6PL96ALLsppeGq6d7I2ivvAQGNgodEII0baI9DIcii8EjwHevNdwgj4KJYs1u6KRXloHN4kpvn4oVG+bYIYgMpOb1hXoZNmhTG1nKxMI+QxkChaFvaDZuULJ4lK6usl5x4JSmaV1uJJRDoYB7h98Z4ZTRw32tIHETIiqBhmisu6cmmZnIcbkvlwP1t2dqFowJqatZEoBwIqxXLnvnmu5vW7a41zV5n1OeUOLExi7imEYfDI/GK7WJsgsq8dre+Pb/CzSWa/OCIKzlQmyyurx2bEUrd3v3ebufcchxIAsGuaBSUGOkCqUePyXyDsmuKizSXQZlIrPrcL931zEa3/Fo7pRjmB3axxcOxqPje5zR4mhoypAVdzKG6Q6U0qhZFHd0PoOxe7IXByMK4CAx+DzB0M6nDKuC5X1UuyJygMAPDbau9XbjfW3Rz8XK9RLFfj1UlaXH49hGLxyD1e2t+daLlIKa7p8Xz2tqkGm2XnqbMNe9dQ9Ad8wPpwRQkhPUCpZvK9qbr5wmCf6uljpeUW3fHg4CWdvlMBEyMP3y8Jgb9G53oC9jbqf1PAO9JMCuOxm9YZMdgcGaRi6xPxqVNbLYCEWYJB7x0qddlzhBsCMD3CAi3XXG/fzeQwmqAbbnEgubvE2C4Z4AAD+is7VbNr2JqatZEoBXI+zQR4SSOVK/HopU8cr61mmIr4m66i1ypGukpiJ8OXiweDzGPwTm4+dV3K0dt9WJkK8P3cAAOCn8xmIyanU2n3fTYwmKFVeXo4lS5bAysoKEokEy5cvR21tbZvHNDY2YtWqVbCzs4OFhQXmzZuHoqLmkde1a9ciLCwMYrEYISEhLd5PXFwcxowZAxMTE3h4eODjjz/W1tMiBAAXgPh0wSD4OJijoKoRD2+50mwHhIXu0sELqhrwyp443Lf5PGJzKmEhFmD9rH7Y+9RI+DlatniMYzvjkMUCPqxUJX5FNS3f5kZRDdb/cx0A8NyUAAS7S7r5TLRr55UcNMgU6OtihXCf1mvGGYbBU+O5bKmfL2agXtr1NOEQDwlmDHSGkgXeO5Sk1Z0dbcqt4LKkHCzFne6P0qS6oKRG34SQ3mx/XD5ic6tgLuLjuckB+l6Oxp6oXE0p0CfzB6G/q3b6rRgzdVBqaAeDUgDQR5U9nV7a9mcTY3AhjSvdG+Fj26HS+kaZArsjuQ/52uhDps6E+jehsMXrnjH+9nCyEqOiXobjWsyoMRSmQu56ub6FTCmGYfCkKlvqt8tZ3brGNETLwr3A5zG4nM5NMtamMC9bvDQtEACwYX9Ci5UpXTUxyAlzQlyhZIGX/oxFk5zK+DrLaIJSS5YsQUJCAo4dO4YDBw7g7NmzWLFiRZvHPPfcc9i/fz92796NM2fOID8/H3Pnzr3jdo899hgefPDBFu+juroaU6dOhZeXF6KiorBx40Zs2LAB33//vVaeFyFqEjMRfn5kGOwtxEgurMH8by8iq6wOACBSXRT05I5QWW0T3j2QiHEbT2PX1RywLHDfIFecWDcOj43u0+aFiVM7mVIA4KZqBJpXcWd/pHqpHKu2X0OjTIkx/vZ4apxvN5+NdjXJFfjlYiYAYPnoPu2WXNwzwBledmaoqJdhVzd3Y16aFgQRn4ezN0pwIqnlXUN9y63gdobdbTq/O1qtnixpSnM3CCG9U6NMgY+PcGUdT433hYOlYWQixeRU4tW/4gEAayb6YVawq55XpH9VDTIkFXIfhjvS5FwtwInbtEst6gVBKVU/qY5OXjx8vQAV9TK4SUwxXpXl1B3jAx0gFvCQWVaP5BayxAV8HuaFctP9/ojUXsaLoTAVcdfbjS1kSgHAtP7cNWZlvQx/XO1dz99VYqqZYrxVy9lSAPDEGB9MDHKEVK7Equ3XWp0a3hXr7+0PO3MRbhTVYvOpNK3d793CKIJSSUlJOHLkCH788UcMHz4co0ePxpdffoldu3YhPz+/xWOqqqrw008/4bPPPsPEiRMRFhaGrVu34uLFi7h8+bLmdps2bcKqVavg49PySN7t27dDKpViy5Yt6N+/PxYuXIi1a9fis88+a3W9TU1NqK6ubvZFSEd42plh98pwuElMkVlWj1mbzmN/bL6mt0NPBKXSSmrx+l/xGPXRSfx4PgNSuRLDvG3x58pwbFo0uFnvqNaoM6XK66StrlFd1pXbQtPuDf8kILW4Fo6WYnz+YEiLEwj1aU9UHgqrG+FsZYJ7B7m0e3sBn6ep+//hXHq3dky87c2xfAw3heSdg4kGufuSXa4OSnVu2iDLsprm+NoY/0sIIYbo54uZyKtsgLOVCZaPbvl6U9eKqhux4tdISOVKTOnnZFDZW/p0LasCLAt425lpWhN0hJ8jNwkttdhwS+07okmu0EweHNXBflLbLnOle4uGeYCvhes3c7EA4wK4ITeH4wtavM18VQnf2RslRjEMpjPa6ikFcCWOj6um0/14PqPFhvDG7DFVw/N9sfkoq9Vu3ywej8Gn8wdp+ku9osX+UrbmIrw9myvj+/rUzV7biL+nGEVQ6tKlS5BIJBgyZIjme5MnTwaPx0NERESLx0RFRUEmk2Hy5Mma7wUFBcHT0xOXLl3q1GOPHTsWItGtiVLTpk1DSkoKKirubMAHAB988AGsra01Xx4eHh1+PEL62Jtjz1MjMcTLBjVNcqzZGY1ndsUAuDWFr7saZQr8E5uPh7dcwaRPz2B7RDYaZUoMdLPGz48Oxe9PjsCQTuwQ2piJIFT1BGqthE+dRfPfTKk9Ubn4IzIXPAb4v4WDDa6XhVyhxDdnbgLgGkx2tMxsXqg7HC3FKKhqxO/d3MlaNcEPjpZiZJXV46fzhjdxJaWQ2xn2d+zceOImuVLzN23VwmRKQggxduV1Umw+yb2HvDAt0CB6JTbKFFjxWxSKa5oQ4GRhkJtB+hKhKt0b1onSPeBWptQNI8+UupZViUaZEvYWYgQ4tf+enlRQjaisCgh4DBYM1d7nnXsGctkyh68XtvjzPvbmGN7HFkoW2KXqZ2XM1ENfGNxqZ9DYxibkA2EesDUXIbeiodVzZKxCPW0wyN0aUrkSOyK0/7u1MRfhqyWhEPAYHIwrwLbLXe//+l8zBjpjWn8nyJUsXvozrtcFDHuSUQSlCgsL4ejYPB1UIBDA1tYWhYUt/0MsLCyESCSCRCJp9n0nJ6dWj2ntfpycnO64D/XPWvLqq6+iqqpK85WT07tSK0nPc7Y2wa4VI7B2op8m2AMAUVkVOJlc1KVsmbLaJvwdnYdnd0VjyLvHsXZnNM7cKAHAjeDdtWIE/lk9CuMDHTs9EYjHY+ChypJRZ838l6uE23G8fUcrPrcKr6lKB9ZO8ke4b+u9mvTln9h85JQ3wM5cpGnA2BEmQj7WTPQDAHx58ma3xsRaiAV4dQY3ifCrkzdbDfzpS0oRtxukvijvqCpV6R6fx8DcAD6oEUKItm06kYqaJjn6uVhhbjemkmkLy7J47a94xOZUQmImxA/LhsBCTOXTauosoaGd2JgDbmVKldQ0obK+65N39e2iqp/UKD+7Dl0Lqj/QT+vvDEfLjmeWtWdikBOEfAapxbW42Ur22dJwrn/Vjis5Rt/wXD30RSTgaQLEyjYSeExFfCxTPf/vz6YbbM/RrmAYBo+O4jLBfr2c1SO/21BPG7xyD3dd/c6BJMTnaqe/FMMweGf2AFiZCBCfV6Xp10fap9eg1CuvvAKGYdr8Sk5O1ucSu0QsFsPKyqrZFyGdJeDz8PzUQPz73LhmE80e+zkSoW8fw+O/XMXnx27gUHwBIjPLkVZSi/SSWqQW1SAqqxwH4vLx3Zk0PLsrGpM+PY0h7x3Hs7/H4O+YfNQ2yeEmMcWaiX449cJ4/PjwUIzw6dgFSGtuNfmsa/HnbhIuaKXuP1Ra24Qnf4tEk1yJSUGOWDvRv8uP3VOUShabT3E73MvH9On0DveDQz3hbmOKkpom/NLNKSlzQtwQ6ilBvVSBtw8kduu+tEmhZDU9NIKcOxeUKqzigmsOFmKDGY1OCCHakl5Sq/nQ/r+ZfQ0iG+m7s+nYey0PfB6DzYtD4WVnru8lGYxGmQJxuZUAgOF9OrdJZiEWaK7VDHlabnvU/aRGdaCfVFWDDH9Hc1OJl4zo+KZdR1ibCjXlg4fjW04CmNbfGQ6WYpTWNuFognFnC0k1Q194UO9FK9uKSgFYFu4NEyEP8XlVuJRe1tNL1KkZA13gaClGSU0TDrVSwtldy0f3wZR+TpAqlFi14xqqtdRfytHKBG/M6gcA+Pz4DaSXGHf2pK7odWtk3bp1eOSRR9q8jY+PD5ydnVFc3LzBr1wuR3l5OZydnVs8ztnZGVKpFJWVlc2ypYqKilo9prX7+e/EPvV/d+Z+COmqPvbm+POpcIR/cBIA17+puKYJx5OKcbyTja/7uVhhXKADJgY5IszTRqsXyOqgVEZJy0Epb3suKJVeWgeZQomnt19DflUjfOzN8flCwywdOBhfgLSSOliZCLC0CxNlRAIenp0cgBd2x+LbM2lYPNyzy72TGIbB27MHYPbmCzgYV4C5g4swqa9T+wf2sKyyOjTJlTAR8uBh27meUoWqjC9na+3trhJCiKH48HAy5EoWE4McMbKD/Xl60tGEQnx0hNvsXT+rX4d7Bt0torMrIVOwcLISw8O284M7+rtaIa+yAfF5VRjexpReQ1XVIEOsKmNkpF/76995JRt1UgUCnSzbnErcVTMGuOB0SgkOXy/Emkl3blwK+TwsGuaJTSdS8dvlLNw7yHgb9Utvy5TiazKl2g5K2ZqLMD/MA79dzsL3Z9M73JjeGIgEPCwd4YVPj93AlgsZmB3iqvXNS4Zh8MkDgzDzy3PILq/Hy3/G4esloVp5nAfC3LE/rgBnb5Tg1b3x2LViBG2+tkOvmVIODg4ICgpq80skEiE8PByVlZWIiorSHHvy5EkolUoMHz68xfsOCwuDUCjEiRMnNN9LSUlBdnY2wsPDO7zG8PBwnD17FjLZrejpsWPHEBgYCBsbmy48a0I6z9b8Vk+zI8+OxT+rR2H9rH6YF+qOwZ4SeNmZwcpEACsTAWzMhHC3McVQbxvcO8gVL0wNwNZHhyLyf5Nx6JkxeHl6EIZ622o9CNTHgQtKZZa1HJTydbAAwwCV9TI8+3sMrmSUw0IswPfLwgyyybVMocRnx24AAB4f4wPLLq7x/sFu8HUwR2W9DD+eTe/Wmga4WWuaW77x93XUNul/FHB8HncBG+hs1ekGp+pMKedONJMlhBBjcCWjHP8mFoHPY/CaqvxanxLyq/Dc7zFgWWDpCC88PNJb30syOOrSvWF9upY5HuxuDQCI01IpkK5dSiuDQsnCx8G83cElUrkSP1/IBMBlkvfEB+4p/ZzA5zFILKjWTKP+L3Vz9SsZ5UadoabOlBLyeZpzqWgnUwoAHh/TBzwGOJ1SYtTPvyWLh3tCJOAhLrcK17Jb7uPcXdZmQmxeHAohn8Hh64WaSdvdxTAM3pszAKZCPiIyyrE7Mlcr99ubGUVPqb59+2L69Ol44okncOXKFVy4cAGrV6/GwoUL4erKRcXz8vIQFBSEK1euAACsra2xfPlyPP/88zh16hSioqLw6KOPIjw8HCNGjNDc982bNxETE4PCwkI0NDQgJiYGMTExkEq5evDFixdDJBJh+fLlSEhIwO+//47/+7//w/PPP6/7E0HuWmIBH/YWXGAqr6IBwe4SPDa6Dz5dMAh/PT0KZ16cgLgN0xC3YRqi10/F+ZcnYvfKkfhy0WCsnuiPCYGOPd5AXJ0pdbO45TRVEyEfnqpMmoNxXCru5w+GwM+xcyVfurI7MhcZpXWwMxfhMVUgqCv4PAYvTA0EAHx/Lh153ZwS8+zkAHjamiG/qhGfHE3p1n1pQ1QWd6EQ5tn5IL26vxhlShFCehOWZTUZSQ8O9dD7+1xxTSOe+CUS9VIFRvvZY/29/fS6HkN1Rd3k3Ltrm87B7hIAtzZrjM25VK7P6Fh/h3Zveyi+AIXVjXCwFGN2SM9kKNmYizQZWAfiWi7hcrE2xRRV1rg2G1brmiZTin97plT7x3nZmWP6AK5y5/tubnwaGjsLMeao/ra2nM/ssccZ5CHBazP6AgDeO5SE2JxKrdyvh60Znp8SoLnfkhrtThLsbYwiKAUA27dvR1BQECZNmoQZM2Zg9OjR+P777zU/l8lkSElJQX39rSbLn3/+OWbNmoV58+Zh7NixcHZ2xt69e5vd7+OPP47Bgwfju+++w40bNzB48GAMHjwY+fn5ALjg1r///ouMjAyEhYVh3bp1WL9+PVasWKGbJ06Iyq2eTYZZm9zXmeudll1er2lg/V+3N0FfNyUAU/rpv/ysJY0yBf7vBJcltXqiX7ebwE4f4Ixh3rZolCnx4eHu9ckzFfHx3v3cyNlfLmUiuod2jzpKE5Ty6vxFfJqq1FP9t00IIb3BiaRiRGVVwETIw7MtlB3pUqNMgRW/RnHl8g7m2LwkFEK+0Vz+64xModRkYwzrZD8ptYFuXKZURmldq9dBhuy8qp/UGP+2y8BYlsUP57gAyMPhXh2eStwV96lK8v6Ozmu1mbe64fnea7la6wuka+pMKZGAB3XSeXvle2orxvoCAP6JzdNkoPcW6obnRxIKu72p25ZHRnrjngHOkClYrNpxDVX12vk7enSUN/q7WqGqQWZQ/WANkdG8K9na2mLHjh2oqalBVVUVtmzZAguLW6NKvb29wbIsxo8fr/meiYkJNm/ejPLyctTV1WHv3r139IE6ffo0WJa948vb21tzm+DgYJw7dw6NjY3Izc3Fyy+/3NNPl5A7eKuakWaWtjzdTt9szEVwt+F6MCS0sEsYl1uJ299fV6sm0xmiXy5moqi6CW4SUywe3v3mnQzDYP29/cAwwP7YfM1ubFeN8XfA3FA3sCzw4p9xaJR1fbJfd9Q1yZFUwE3eC/WSdPp4dfNH9dQiQggxdkoli0/+5bJYHxnZB456LE9mWW4seUxOJaxNhdjy8FBYmxpeubwhSMivRr1UAWtTIfy7+J5kYy7SZIRra5qXrmSV1SGrrB5CPoMR7fSHupRehoT8apgIeVgyvPP9Njtj+kBniAQ8pBbXIlF1vfFfI33t4OdogTqpAr9fMc6J503NglId6ymlFuIhwbA+tpApWGy90LumvfV1sUK4jx0USha/dnNgUFsYhsFHDwTD09YMuRUNeOHPWK1MNBTwefhwbjB4quv/U8md6wV8NzGaoBQhdztf1UXSjSLDrRlX91P4b+p6Tnk9Hvs5stntDLXhX2ltE746yU3ce3ayv9Z2AAe4WWPhUA8AwFv7EzrUK6Atb8zsB0dLMW4W13Y7+6qrrmSWQ8kCbhJTuFh3rimsVK5ElipzzteBglKEkN7hn9h8JBfWwMpEgKfG+ep1LZtO3MQ/sfkQ8Bh8+1AYvCkrtVVXVZtF3e25GeopAcC9PxqTc6lcllSopw3M28kOV5eJPRDmDpvbep72BCsTISYFOQIA/onJb/E2DMNguarNwtYLGZCpSuGMSZ2qR6ilWKi5PhR04u/wybE+AIAdEdmoMdJssdaoW2jsupKDemnP9VK1MhHi6yWhEPF5OJZYhJ/OayfAN9DdGo+pMr7+9/d1ze+aNEdBKUKMRLAqLTxGS7XOPWGAao1xtwWlimsasWzLFZTWNsFUyAV4kgtrNKnKhmbjkRTUNMkx0M0a80LdtXrfL0wNhKWJAAn51dgR0b3eBzbmImycPwgA8PPFTJxO0f3uy5kUVf+JgM5PfLlZXAuFkoWlWAAnq57td0YIIboglSvx6TEuS+rJcb6wNtNfVtKBuHx8fpwrQ393zgCE+xrfNDhdilD3k+rTvSFG6ql7l9PLur0mXdL0kwpou59UbE4lTqeUgM9j8PhoH10sDbND3ABwAV9lKxt69w92g525CPlVjTgU33L/KUOlULKol3IZ7xYmAk1QrTNlthMCHeHnaIGaJjl2XsnukXXqy8QgR3jamqGqQYa/ovN69LEGuFnjjVlcf6kPDydrrcH681MD4CYxRV5lg2aIEmmOglKEGImB7tZgGCCvsgHF1YZZMx7iIQHA7TiyLIvyOike+jECGaV1cJOY4uQL42BtKoRUrkRyYctp2PoUn1uFP6K41O8N9/XT+oRCOwuxpun5R0dSNI2+u2pcgAMeUU1QevHPOJTXSbu7xE45pQqEjQ907PSx6uBqsIfhZs0RQkhn/H41GznlDXCwFOPRUd56W0dsTiXW/RELAHh8dB8sHNb9MvTejGVZRGXdypTqjuF9uONjcir1VlrfWXKFEhdvckG00X5tbzJtOpEKAJgd4qqzzLvxgQ6wNBGgoKpREzz8LxMhX9Nb6sdzGVopvdKV2ycpm4v5kCq4tYsEHf+YzuMxWDGGCxJuOZ9psBu/XcHnMVim+t3+ejGrx3+3D43wwsyBLpArWazZEY3K+u5fW5uJBHhX1Q9264UMxOVWdvs+exsKShFiJCxNhAh04ib4tPamrG+hnjYQCXgormlCdE4llv4UgRtFtXCyEmPnEyPgYm2KQarAlaFlfCmVLDbsTwDLAnNCXBHm1b0L09Y8NMILoZ4S1DbJ8cbf17v95vrKPUHwc7RASU0TXt4Tp7MLsYzSW/0nRrVzEduSmBxu90kdyCSEEGNWL5Vjk6r0e+1EP5iJujcgo6sKqhrwxK+RaJIrMTHIEa+qpkqR1qWV1KGiXgaxgIf+rtbduq8+9uZwsBRDKlca3HVOa2JzK1HTJIfETKjJeG/J9bwqnEguBo8BVk/QXV9QEyEfMwa4AAD2xbSeKbN0hBfEAh7i86oM9jq5JeqglEjAg1jA71KmFADMHuwKR0sxCqsbsT+25VJHYzU/zAOmQj5Simp6/HfLMAw+nDcQ3nZmyKtswLo/YlvN0OuMCYGOuG+QK5Qs8MqeeMiNsMy0J1FQihAjok6rNtRGeSZCPoaoprDN/foiEvKrYWcuwvbHR8DTjmv+qQ5CRGdX6mmVLfs9MgdRWRUwE/Hxyj2tX8R3t56dz2Pw0bxgCPkMTiQXY38rY447ykTIxxcPhmhq4L/T0UhgdXr88D52XZpOqJ7aF+LRvVIJQggxBFsvZKKkpgketqZ4cKh+MpPqpXI8/kskimuaEOhkif9bGKIZL09ad031fjTIQ9Kp7JSWMAyjyZa6lGYcJXxnb3D9pEb52bf59/J/qiyp+wa5wkfHvSBnD+am8B2ML2g1A83OQoy5qrYLP57TzbWQNtQ2qvtJcddS6iynzgalxAI+HlFlaP5wLt2ossXaY20mxJzBXBlnTzY8V7M0EWLzklCIBDycSC7WTJvsrjdm9YO1qRCJBdXY0sua0ncXBaUIMSITVc0eT98o6Xaj7J4S5Gyl+f/WpkJse3x4s+lqQ725IMTl9DKDecMsqm7E+4eSAADrpgbC2brlaUn1UjkmfHIaL/0Z261xz/5Ollil2mV8c991FHWzHHOAmzXevK8fAODjI8k9fiHMsiz+VtX1q8c1d0Z+ZQPSSurAY4Bh3SyVIIQQfatqkOG7M2kAgHVTArsd2OgKhZLFc7/HaDaDfnx4CCxNaNJeR0SqSvfCvLSzSTLWn9tA1Eevx67Q9JPybz3rOSG/CscSi8AwwOqJ/rpamsaIPnZwk5iiplGOowmFrd5O3fD8eFIxUgoNdzDQ7dSNyS1MuKCUOlNKxO98QHnJcC+Yi/hILqzBmRsl2lukAVCX8B1NKEJBVffaX3REf1drvHmv6tr6aIqmxLc7HCzFeH0mt/H92bEbyCk3zInq+kBBKUKMSJiXDSRmQpTXSXH+Zqm+l3OHwqrGZpH/rY8ORV8Xq2a3GeptC5GAh4KqRqSV1Ol6iS1av+86ahrlGOQh0fRoasnWC5koqm5CREY5zETdm8r39Hg/9HOxQkW9TCupwYuHeWJuqBuULLBm5zUUVvVc37GkghqkFtdCxOdh2gDnTh9/VnWhFOIh0WsjYEII0YafL2SiulEOf0eLLgXqteGDQ0k4mlAEEZ+H75eFwcPWTC/rMEbqzN0hWgpKjQ/iglKxuVUorjHMHqBqVQ0yTZnhaP/Wm5x/cpRr4H9vsGuzjUZd4fEYPBDGZUH9fjWn1dv5OVrgHtV1yeZTN3Wytu6qVgWlLFVBqSZVplRXgtvWpkJND7nvzhhPtlhH9HWxwrA+tlAoWeyI0E0z98XDPHHfIFcolCxW74jWSu/W+WHuGOFji0aZEq/9FW8wG/T6RkEpQoyIkM/DHNUUkt+vGtZ0jYzSOsz/7mKz75XWNN1xOxMhX5MtdT5V/7s4B+MKcDShCAIeg4/mDWw1db20tgnfnOZ2wp+fEtDptOr/Egl42LRoMEyEPJy/WYofz3fv4oFhGLw3ZyCCnC1RWivFym1RPdZkdbeqGfzEIEdYm3Y+qKRukN7elB9CCDF01Y0y/KR6/V47yV/rAzI64peLmfhRNb78kwWDeqwnYm9UUSfVbJCFemonKOVoaYKBqt5Mp1P0f53TlktpZVCygK+DOdwkpi3e5uLNUpxKKYGAx+C5KQE6XuEt84e4g2GAi2llyC5rPcNk9UQuE/1AXD7SS2p1tbwuK63lAh32FtwkYnXmlFUXMx2Xj+4DAY/BpfQyRGtpepyheDjcGwCw80o2muQ9P0iAYRi8P3cgfOzNUVDViGd/j+n2JjLDMHj//oEQCXg4l1qKfTG9q/9XV1FQihAj8+BQDwDAscSiHs2G6YxLaWWYs/kCcsob4GVnhmn9nQAAh6+3nGI92o8LRug72yu/sgGv/RUPAHh6vG+z0sP/2nQiFbVNcgx0s8a9wdrZCfdztMCb9/YHAGw8mtLtaRymIj6+fSgM1qZCxORU4jktvHn+V12THH9G5gIAFg7z6PTx1Y0ynFJdpE/p56TVtRFCiK7dniU1Y6CLzh//eGIR3tqfAAB4aXqg3jK1jJV65LuvgzlszEVau191u4WTSYZdwqcu3RvTSpaUUsnig8PJAIAlwz3RR0cT91ribmOmmQ6o3hxrSX9Xa0wKcoSSBb5WbSYasjJVUMrOnAtKVTeoekyZdG1YgqvEVNN/6dszhv/8O2Nqfyc4WYlRWivF4fjWyzi1yUIswNcPhcJEyMPZGyX48mT3M/B8HCywVhU8fftAIip0PD3bEFFQihAjo05flSlYfHNa/6nJf0TmYNmWCFQ1yBDiIcGfK0fiCdVY2uOJRWiQ3rmTMTaAu6g4f7O0243Du0qhZPH8HzGoapBhkLs11kxqvUdCekmtJlX41RlBWt0JXzjUA9P7O0OmYLHytyiU1t6ZXdYZ3vbm+G5pGIR8BoevF+KjI8laWiln77Vc1DTJ4WNvrumb0RlHrxdCKlfC39EC/VxaDwISQoihq2mU4SdVhtKaSf46byoen1uFNTujoWS595Knxvnq9PF7g0hN6Z52s8sm9+U2XU7fKEZdk36uczriXCq3Oai+Lvuv/XH5iM+rgrmI3+Z1kq4sGMJthv0Zldtmb1X1Wv+KzjP4vj1lqus+ewsuKKou57PqQia62spx3HX4v4lFuFls+NliHSXk87BkONdb6hcdNDxXC3K2wrtzBgIAvjhxQxPM7Y4VY30R4GSB8jqp1q/VjREFpQgxQs+q3mx3XsnR25ttk1yBDf8k4KU/4yBTsJgZ7IJdK0bAwVKMUE8beNiaoqZJjgNxd6al9nOxgoetKRplSpxK1k9q+3dn03A5nesN9X8LB7dZjvf+oSTIlSwmBjlipG/rjUC7gmEYfPRAMHzszZFf1Yint13TNLnsqhE+dvj4gWAAwHdn07U2qUSmUGo+gC0L9+pScO6PSG53875BrmAYmgpFCDFev1zMRFWDDL4O5pip4yypvMoGPPbLVTTIFBjjb4935gyg19QuUPeT0laTc7UBblbwsjNDo0yJ40lFWr1vbckqq0N2eT2EfAbD+9jd8fNGmQIbVb2kVo7z1ZSX6dPU/k6QmAlRUNWIs20EBkI8JBjjbw+FksU3Bp4tVKbKkrFTB6Uaule+BwB+jpaY0s8JLAt8f9awn39nLRrmCSGfQXR2ZbcrDDrjgTB3LBrmAZYFntkVg/zK7jVbFwl4eO9+LtC162qOVhqpGzMKShFihMJ97RDuYwepQok39l3XeZO8nPJ6LPj2En6+mAkAWDPRD18uHAwTIdf8m8djsEjVaHHHlTt7XzEMoylzOBRfoJtF3+ZSWhk+/fcGAGDDff3h3UY6+rHEIhxPKoaQz+C1GUE9sh5rUyG+XxYGC7EAVzLL8db+hG7/Tu8f7I7nVb0f1u9L0ASDumPvtVxkltXD1lyE+UM6X7p3Pa8KVzMrIOAxWDC088cTQoihqGmU4YdzXJB+rY6zpKobZXh06xWU1DQhyNkSXy8J7Xafw7uRVK5ErKrJd5i3doNSDMNoSin/MdCeMWdVWVJhXjYwF99ZKvb92XTkVjTA0VKM5WP66Hp5LRIL+Jreqtsvt91bda1qA/ePqzlt9qDSN3WGvLp8r6axe+V7ak+N5zIn/4rO08m0Ol1xsBRrNgF+vZSl08d+897+GOBmhfI6KVbtuAapvHubyEO9bTFf1cD/9b+uQ97NTWljRu9ghBghhmHwzpwBEPF5OJ1Sgj+jcnXyuCzL4q/oXMzYdA6xuVWwNhXip4eHYN3UwDuyZuaHeUDA43YyrudV3XFf6jeUk8nFOi3hy6tswKod16BQspgT4qp5M2hJvVSODf9wvTqeGOMDP0fLHluXn6MlvngwBACw7XI2vtXC1JQ1E/3w6ChvAMDLe+KwLyavy/fVJFdg0wmuXPTp8b4tXsC258dz3HOaGewCJyuTLq+FEEL07ddLWZosqVla6jPYETKFEk9vu4YbRbVwtBRjyyNDYdmNjIq7WWJBNZrkStiYCeHTA72S1EGps6klqKw3vJ4x52603k8qp7xeM73u9Zl9YSbqXoBEmx4awW16nkwuarNaYKi3LcYFOECuZPHZsRRdLa/TSlRDgewtuaBUhepvRWLWvR5noZ42GK5q9/HTuYz2DzAiy1STsv+JzdfKRLyOMhHy8c2SMFiZCBCdXYn3DyV1+z5fndEXEjMhkgtrNJv9dyMKShFipPwcLfDMZG4X6H9/X0d87p2BH20qqGrA8l8i8dzvsahplGOwpwSHnhmDSX1bblbtYCnGzGAu8PRVC00BB7pZw9vODA0yBQ7E6iZbqlGmwJO/RaK8Tor+rlb4YG5wm+UOX568ibzKBrhJTLFmYs/3Upjczwn/m9kXAPDRkeRuZzcxDIP1s/phyXBPsCzw/B+xXQ5MfX8mHXmVDXCyEuOhEV6dPj65sBr7YrndYnXPMUIIMUZ1TXL8oAqyr5mouywplmXx+l/xOH+zFGYiPrY8MhSurUxMI+2LzOTKZcK8bHqk9NHfyRJ9XawgU7D4K7rrm0I9QaZQ4lJaGQC02B9ywz8JaJIrEe5jZ3DN8/0cLTHazx5KFtge0Xa21IvTAgEA+2LzkVRQrYvldVqeqgzMTWKCRpkCFfVc+Z6TVffLJVeqsqV2Xsk2yMBoVw32kGCgmzWkciV+v9r9SoDO8LA1w2cLQgAAP1/MxP7Y7mVC2pqL8Mp0rhLj82M3elVWW2dQUIoQI/bUOF9MDHJEk1yJh7deQUphjdYfo1GmwHdn0jD1s7M4mVwMEZ+HF6YG4I8nw1sdH6y2aoIfGAY4klCI5MLmFwMMw2ChqsRvewslftqmbmx+Pa8atuYifLc0DKYifqu3j86uwHeqPgQb7uvf5m216fExPnhS1aDy1b3xOHK9ewE7hmHwzuwBmB/mDoWSxTO7YrDlfOd2zDJL6/Clasf0tRl9NWWaHcWyLD46nAyW5TLkBqhGZRNCiDHadTUHlfUy9LE3x706/MC++dRN/BGZCx4DbF4cSq+l3aSevBeq5X5St1usmlK7PSJb560W2hKTU4maJjlszITo79p86MixxCKcSObaFrwzp79B9ipbFs5tjv1+NRuNsjsH6qgNcLPGzGAXsCzwyVHDy5aqbpRpyvVcJaYoruaypsQCHqy70ehcbXyAA4KcLVEnVeA3HZe69SSGYTR/A9suZ7XZ9L4nTO7npCmPfGVPXLebyS8Y4oFQTwnqpAq8cyBRG0s0OhSUIsSI8XgMvlgYgoFu1iivk+LB7y/hvKpHQHfJFUr8HZ2HyZ+dwQeHk1HTJEeIhwQH147G6on+HepfEeBkiRkDuGypjw7fOVnigTB3CPkMYnNaLvHTFpZlseGfBByKL4SIz8PmxaFwtzFr9faNMgXW7Y6FkgVmh7hiSr+Ws8F6yivTg/CAKoi0akc0/unmLgyPx+CjecF4RJXu/PaBRHx0JBnKDryJyxVKvLQnDlK5EmP87bu0Y3ogrgCnUkog4DF4fmpAp48nhBBDIVMo8ZMqS2rFWB+dZUn9GZWLT1S9EN+6rz8mBDnq5HF7K5ZlEZnZM5P3bjdnsBvMRHzcLK5FRIbhNDI+nVIMABgb4NCs/UJ1owxv7rsOgNsk68m2Bd0xqa8T3CSmqKiXtXuNtG5KAPg8BieSizXZcYYir4LLirExE8JMJEBRTSMAwMnKRCvBQIZhNMGTrRczW5yIbazuHeQKGzMh8iobcEIPwwTWTQlAuI8d6qQKPLUtqltTNnk8Bu/dPxB8HoND8YWaf593EwpKEWLkrEyE2LZ8OAZ5SFBZL8OyLRF4/1BSl18cqxtl2HohA+M/OY1nf49BbkUDnK1M8On8Qdj71Ej4O3XuAmXd1AAI+QxOpZTc8aZhbyHGdFXQasuFnqt3/+J4Kn67nAWGAT5/MAThvndOmbndx0dSkF5SBycrMd6+b0CPras1DMMFkeaFcoGpZ3dFd7uUj8dj8Oa9/TSp7N+cTsOK36JQpZry0ppNJ1JxJaMc5iI+3u3CdKei6ka8qerLtXqiH3wdLLr2BAghxAD8E5OP/KpG2FuIcf9gN5085qmUYry8Jw4A8ORYHywN99bJ4/ZmuRUNKK5pgpDPINi95zLOLE2EmK1qzG1ImSqnU7h+UuMCmpfuvb0/EflVjfCyM8OaiX76WFqH8HmMppXALxcz28xC83GwwIIhXP/Q9w4lGVTGmnqCm5sNV3lQWMUFpZy12Hdz5kAXeNiaorxOit1Rui1160kmQj4eHMpVXOi64TkACPg8bFo0GI6WYqQW1+L1v+K79bfV18VKs3m8fl9CmxmAvREFpQjpBazNhPh9xQjMD3OHkuUmpoz9+BS+OH6jzSaQahV1UhyIy8eqHdcw9N3jeGt/InIrGmBnLsKL0wJx6oXxmBfmfkcz847wcbDAY6O5qS1v/pOAmsbmQZAnVBNd9sXka306Csuy+OzfFPzfiVQAwIZ7+2v6XLXm34RCTYDsw3nBsDbTTwNZPo/BxgeCsWiYJ5Qs8NKfcfjkaEqHsptawzAMVk3wwyfzB0Ek4OF4UhFmf3W+1T4LxxOLNGV7788dCC+7zjWCbZQpsOK3KJTXSdHXxQpPjzfcC1xCCGkPy7L4TjVe/bHR3p0uZe6KmJxKPL2NG85x/2A3vDy9Z6bA3m2isrgsqf6u1j3+e1SXGR2+XoCM0roefayOKK5pREI+974/9rag1LHEIvwZlQuGAT6dP8igmpu3ZOFQD4gFPCTkV+NKO1loz04OgJmIj+jsSuwzoGmIt/pJcUEpdT8hJ2vtBaUEfB5WqHp5fncmHbJeNOFtyXBP8Bjg/M1S3CzWfguT9jhYivHV4lDweQz+jsnHtnZ6nLXnuSkBcLYyQXZ5Pb4+dWc/3t6MglKE9BImQj42zh+ErY8MhaetGcrqpPjieCrGfHwKkz49jbU7o/HJ0RR8czoNm0/dxAeHk7Bq+zVM+ewMQt89htU7onEwrgBNciX8HC3w7pwBuPDKRKya4NftfkprJvrDTWKK3IoGTdaMWrC7BOMCHKBQsvj6tPZegFmWxYdHkrHppLoXUhAeVu1AtCa7rB7rdscCAJaP7oMJgfotj+DxGLx//wA8rUq9/urUTTy9/Rpqu5EiDHBlk3+u5HqCZZbVY/ZXF7D51M1mo2ijsiqweuc1sCz3pq/e6e0oqVyJNTujEZtTCYmZEN89FAaRgN5yCCHG61RKMW4U1cJCLMCS4Z0f+NBZ6SW1eOznq2iQKTDG3x4fzQvu0uYQuZM6KBXWg/2k1Pq6WGFikCOULPDt6bQef7z2nFFlSQW7W8PegmumXV4nxat74wFww0iGePdcSaO22JiLMDeUy4D6/mzbE4udrEywagK3MfbB4a5XE2ibOkjpoWopof5vb7vWW0x0xfwhHrAzFyGvsgEH43QzXEgXPGzNNAOX9JEtBQDD+tji5elcFcI7+xMRm1PZ5fuyEAuw/t5+AIBvz6QjvaR7vaqMCX1CIKSXmRDkiJPrxuHLRYMxwscWfB6DtJI6/BObj69O3cRHR5Kx8WgKvjuTjoPxBUgtrgXLAoFOlnhiTB8cWDMax54bi4dGeGlt99BCLMAXC0PAY4C91/Kw8z+NzddO4ibb7Y7KRWpR93c6GmUKrN0Vg+/OcBcp62f1w4qxvm0eU9ckx8ptUahplCPUU4JX7jGM3WiGYfDS9CB8On8QRHwejiQUYuamc4hWNWjtqmB3CfavGY1JQY6QKpTYeDQF9399EZGZ5YhIL8PDW66gUabEhEAHbLivf6fuu6pBhhW/ReJYYhFEAh6+XhwKTy1fYBFCiK59q3pPWTzcUytNiNtSXNOIZVuuoLxOimB3a3xLgX2tisxS95Pq+aAUAKyawF2D7I3O1ZRs6cvpG1xQarwqS0qpGgRTWtsEP0cLPD/FeHo/PjGmDxgGOJFcjBvtXD8uH90HHramKKpuwrdn9B8cBIC0Ei4I5efItTZIV/23j0PnMtPbYyLka6oWvj2TZlAljN31sKqcee+1PL0FG58Y44Np/Z0gVSjx9PZrqKjr+qTDewY4Y1yAA6QKJdbvS+hVv6u20LsbIb2QgM/DvYNcsWtFOKL+Nxk/PTwEL00PxMPhXpgb6ob5Ye54bFQfvDYjCFsfHYorr0/C0efG4vWZ/TDAzbpHJq0M9bbFc5O5C53//X0dZ1QXRQC3Uzm1nxMUShZv7U/s1gtwfmUDFv9wGftj8yHgMfj4gWDNG3FruKl00Ugs4CbzfbU4tEON3HVpXpg7dq4YDjeJKbLK6vHAt5fwydGUbjWttDUX4ceHh+CT+YNgaSJAfF4VHvj2Eh78/jJqm+QY3scWm5d07lxEZZXjvq/O43RKCcQCHn56eAhG+tl3eY2EEGIIYnIqcSWjHEI+g8dGtf2e0l01jTI8suUqcisa4GVnhi2PDIW52LBLqYxJTaMMKaqJwLrIlOIexxYjfGwhU7D47NgNnTxmS+QKJc6prr/GqbLBvzmTpnnP3rRwsE7KUrXFx8EC0/s7A2g/W8pEyMfrM/pqbtuR9hY9LU01tc1XHZRSZUr52Gu//+ZDw71gLuIjubBG01OsNxjpa4c+9uaobZLrrTSTYRhsnD8I3nZmyKtswHN/xHS53QbDMHh7dn+IBTycv1mK/b0os60thvWpixCidRIzESb1dcLT4/3w1uwB+GxBCDbOH4T193LZQxMCHeFoqb3a9basnuiH+we7QaFkseLXSJxKvjVd4n8z+0HUzRfgfxMKcc//ncO17EpYmQjw6/JhWDDEo81jWJbFOwcScTypGCIBDz8sGwJXVW2/oQnzssWhZ8bg3kGuUChZfHXqJiZ/dgb7Y/O79eb3QJg7/np65B0/kyqUOBxf2G4zdJZlEZNTidU7rmHeN5eQVVYPN4kpdq8Mxxh/hzaPJYQQY/DLxUwA3MQnZy32e/mvJrkCK7dFIbGgGvYWIvz62DBNiRXRjticKihZwMPWFI5abCjdHnU/sD3XcpGQ33MTh9sSk1OJ6kY5JGZChHhIcDGtFJ/+mwIAeGf2APRztdLLurpjxViuX9K+mDxNT6bWTOvvjHAfOzTJlXhj33W9ZqHUS+WanlJ+DhaoaZShpKYJgPYzpQCu/+wSVXP4bwygjFRbeDwGS4ZzDc+3R2Tp7XdqZSLE10vCIBbwcDqlBF91oyeUl525ptz0nQOJ3W7bYQwoKEUI0RmGYfDhvIGYFOSIJrkST/waqZma4mlnpumd9Mbf1zUTSDqiuLoRa3ZGa6bJBbtbY/+a0Rjp23aGDsuy2Hg0BT+rPmx8viBEZ7umXWVtKsSmhSH49qFQuElMkVfZgDU7ozH58zP442pOp1OX66VybL2QgQe/u9zs+wwDRGdXYt3uWAx59xjmbL6ADf8k4Mdz6dgTlYs/rubgh7PpePnPOIz5+BTmbL6AA3EFYBiu+ejBtaMR7C7R4jMnhBD9KKlpwoE4bgf+kXZ6E3aHUsnihd1xuHCzDOYiPrY+MqzTAyZI+9Tl76Geun2/H+xpg3sHuYJluSl3+vjwrM6QGePvgNyKeqzZEQ0ly/WaXDC07U08QzXY0wbD+3BZaD+ea3uSM8MweGdOf4j4XODggB6zUNSlerbmItiYi5BcyJUfOlmJYWnSM+XBy0f3gYjPw5XMckRltd0c3pjMC3WHSNX0PjZXPwFfAOjnaoV35nBTuz8/fgNnb3Q9I+3JcT7wtjNDSU0TvlQNbOrNKChFCNEpsYCPb5eGYXaIK+RKFm/+k4Anfo1CTnk9Vk3wwyB3a1Q1yPDs79HtTgiprJfis2M3MPFTLluIx3A7Zn+uHNnuhTzLcin0X6t2i966r/3JfIaCYRhMH+CC48+Pw7OT/WFlIkB6SR1e2hOHIe8ex9qd0fgzKhdZZXUtZlBV1ElxKrkYr+6Nx8gPT+Kt/Ykoq5PC39ECu1aMQOaHM3Hh5Yl4ZpI//B0tIFNwmVA/X8zEuweTsG53LF7aE4f3DiXh98gc5FY0QCTgYe5gNxxYMxofzguGxEykhzNDCCHat/NKNmQKFoM9JT0WbGdZFhv2J2hKz79dGoaB7tY98lh3u2hVI+IQD4nOH/ulaYEwEfIQkVGOXVdzdP74p29wGeohHhI8uvUqyuqkGOBmhXdmD9D5WrTpKdWm5vaILBTXtL2p6edoiadVPb7e2p+Aqvq2s8F7inrysbqflLpBdk9u6DlZmWBuKDe45pvTbZc7GhMbcxFmDeSu4bdd1k/Dc7UFQzywcKgHWBZYuyu6y2WiYgFf0/R8y4UMpPXypudUoE4I0Tkhn4cvHgxBsLsEHxxKwvGkIpxNLcGCIe5YOc4XL+yOxeX0cqzfl4D37x/QrMeVQsniWnYF9l7Lxf7YAk1K6yAPCd6bMwAD3Nq/iJcrlFj/TwJ2qEa3rp/Vr93JfIbIVMTHs5MDsHx0H+yIyMbOK9nILKvHP7H5+CeW29UXCXhwtTaBiZAPhZJFWZ0U5f9pwOhpa4YVY32wYIiHppGuq8QUz00JwHNTApBVVoeYnErE51ahqKYJFXVSCPkMzMUC+DhYYKCbNUb52Rn8+GhCCOksmUKJ7RHchxx1Q92e8Mm/Kfj1UhYYBvh0wSAqfe4h6nJzQD9BKQ9bM7wwNRDvHkzC+weTMD7QAS7WumkZUFzTiOt5XCBke0QW0kvr4Gptgi0PD+32lGV9GxfggMGeEkRnV+K7M+l4Y1a/Nm//1Hhf7I/NR1pJHT44nIQP5wXraKW3XM/jMnoGqq5b1Rk+g3o4GL1irA9+j8zB8aQi3CiqQYCTZY8+nq4sGeGFvdF52B+bjzdm9oO1Wc8Oo2jLhvv6I7GgGnG5VVi5LQp7nhrZpV5tE4OcMDHIESeTi/HW/kT88ujQHun7awjoEwQhRC8YhsHy0X0wys8Ob/2TiEvpZdh2ORvbLt+azLfzSjb2XMvF81MCUFTdiMzSOkRmVaCm8VaJWpCzJZ6Z5I9p/Z07NCq7ql6GZ36PxumUEjAMsOHe/kYZkLqdpYkQT47zxYqxPojNrcKR64WIyCjD9bwqSOVKZJbduUvjY2+O4T62mDnQFSN8bCFoo5m5l505vOzMMTvErSefBiGEGJyjCYUoqm6CvYUYMwb2TDbtt2fSsPkUl7X77pwB9Frbg3LKG1BeJ4WIz9Nb/6RHR/XBgbgCxORUYu3OaOx4YoROhqucvVGq+f/pJXWwFAuw9dFhOu2r1VMYhsFzkwOwbMsVbLuchRVjfeDUxvMSC/j4YG4wFnx3Cbuu5uCegS4YF6DbQHC8KigVrApCxeVWqv5b0qOPq24Of/h6Ib49k4bPFoT06OPpSqinBEHOlkgurMGea7ntDjnqSSZCPr55KAz3fnkeCfnVeP2v6/hkfnCXAkrrZ/XD+dRSnL1RguNJxZjSz6kHVqx/FJQihOhVkLMVdjwxHJfSyvDrpSycTC6G9LayPalciQ8PJzc7xtJEgCn9nDA/zAPD+9h2KBgFcJPh1u6MQV5lA0yEPPzfwsGYppra0hswDIMQD4lm91euUKKgqhEFVY2Qyrlzam8pgqvEFFY91K+AEEJ6k18vcVlSi4d7ajJJtWnb5SzNe9wr9wRhyXAvrT8GuSU6h+sn1dfVCmKBfrKD+DwGXzwYgnu/PI+rmRX4+EgyXp/ZdmaPNhxLLNT8fxMhD98vG4JA596RJQMAY/ztMcTLBpFZFfjmdBo23Ne/zdsP62OLh8O98MulLLy4OxZHnx0LG3PdtB6QK5RIVJXvDXCzRlF1I7LK6sEwwCAd9ONcOc4Xh68X4p+YfDw/JQDuNmY9/pg9jWEYLBnhhTf+vo7tEVl4dJS3XrOK3CSm+GrRYDz0UwT2XMtFiKcES0d0/vXd294cy8f0wTen0/DOgUSM8bc3qgmZHUU9pQghescwDEb62ePbpWGIeXMKfn50KF65J+iO262d5I/9q0cjZv1UfLYgBOG+dh3LjmqQ4c191zH/20vIq+RGbP+5cmSvCki1RMDnwcPWDMP62GK0vz1G+9sjyNmKAlKEENIBGaV1uJJRDh4DLB7mqfX73xeThzf2XQcArJrgi5XjfLX+GKQ5deneYD2U7t3O294cG+dzJWM/nMvQlIj2lMp6KY4mFGn++6eHhyLc165HH1PXGIbB81MCAAA7IrI1k+3a8so9feHrYI7imia89le8zprP3yiqRaNMCXMRH33szHEulctiG+hmrZOys0EeEozys4NcyeL7s72nt9T9g91gLuIjraQOl9P138h9pJ+9Zurm2/sTEJVV0aX7WT3BD85WJsgur8cPvej3dTsKShFCDIqZSIDxgY5YOc4XmR/OxJeLBsNUtSOw9XwGIjLKNFk/7amql+HLE6kYv/EUfrmUBSXLvWEdWDO6Q72nCCGE3L3+jOIaUY8NcICztXZLnI4lFuH5P2LBssCycC+8MDVQq/dPWqYJSnlK9LoOAJg+wAVrJ3Jj39/4+zoO9tAkuLzKBoS8fUzz3788Ngyj/NqeTmyswn3tEO5jB6lCiU+OprR7e1MRH/+3cDAEPAaHrxdiz7U8HawSuJJRBgAI9bIBj8fgXKp6KqLufi+rJnB/e7uu5rTbHN5YWIgFmD2YK3/u6UBvR60Y64MZA50hU7B4entUl861uViAV2dwwa3Np28ivwMBV2NDQSlCiEG7d5Ar9q0ehWB3a9Q0yfHuwSSM+OAE3tx3HadTilFc06jZ2WqSK3CzuBa7I3Pw5G+RGPr+cXx67AYq6mXwdTDH9seH4/MHQ3ps1C4hhJDeQaFksSeK+4A6P8xDq/d95kYJVu24BoWSxdzBbthwb/9e27zWkDTJFUjI50qm9NHkvCXPTQnAomGeULLAmp3X8IeWJ/IdTyzCzE3nNP/tY2+u895JusQwDF6b0RcA8Fd0nqZPU1sGuFnjOVWG1f/+jkdyYXVPLhEAEJHBZfGM8LGDQsnivCpTaqwOBxyE+9gh1FMCqVyJn85l6Oxxe9pDqhLoowmFKKlp0vNquL/Jjx8YBD9HCxRVN2H19vani7fkvkGuGOZti0aZEu8dSuqBleoXBaUIIQYvwMkSfz09Ch/MHQhPWzNUNcjwy6UsPLL1Koa9dwL+rx9G3zeOIPB/RzD5szN48c84HE0oglSuRJCzJf5vYQiOPju21+4MEkII0a7zN0tRWN0Ia1MhJvV11Nr9nr1Rgid+jYRUrsS0/k74+IHgDvdFJN2TVFADqVwJW3MRPG0No4cOwzB4d84ALBjiDiULvLQnDm/tT+hwRnhrqhpkeP2veDz+ayQq62Wa7z81vveXiA50t8ZcVbbMuweTOlSSt3KcL8b426NRpsRT266hplHW7jFdxbKsJig1vI8tLqaVoqxOComZEIM9bXrscf+LYRhNttS2y1morJe2c4Rx6OdqhcGeEsgULP6I1G6Qt6ssxAJ8tzQMFmIBrmSW44NDye0f9B8Mw2DDff3BY4CDcQW4mFba/kFGhIJShBCjwOcxWDTME6deGI+fHh6ChUM94G1nBh4DyJUsGmQKAFzzzqHeNlg1wReH1o7B4WfGYHaIW5vT5QghhJDb7YnKBQDMDnHVWlPZ86mlmoDU5L5O+HJRKL036VBMNtfPZZC7tUFlpvF5DD6aF4zVqgDB1guZmLP5Qpf6zzTJFdgRkY1Jn57G9ghumvH9g29NcxwX2HuzpG73wrRAiAU8XMkox7+JRe3ens9j8H8LB8PV2gQZpXV4YXcslMqe6S+VUlSD8jopTIQ8BLtLsC8mHwAwc6BLjwxTaMvEIEf0dbFCnVSBny9m6vSxe5J6YMTOK9lQ9NDvsbN8HSzw6YJBAIAtFzKwL6bzpaL9XK00z+2tfxIh70LGlaGid0JCiFHh8xhM6uuED+cF4/SLE5D49nRcfnUSzr44ATHrpyDp7enYvXIkXpwWhH6uVgZ14UkIIcTwNcoUOJ7EfZC9/QN9d1y8WYrlv1xFk1yJyX0d8fWSUJ1/AL3bqftJhXjoLhuloxiGwQvTAvHDsiGwNhUisaAa8765iMd/uYoLN0vb/WCdU16PzaduYvzG03jtr3iU1krh62COnU+M0GSJ93e1gqOldnujGSpXiSkeH9MHAPDOgUQ0SBXtHmNrLsLXD4VBxOfhaEIRPjra+WyWjjiZXAyAK92TK5U4cp2bijg7RDuvNZ3BZUtx2XNbL2Sitkmu8zX0hFnBLrA2FSK3ogFnb5Toezka0/o7a873y3vikFTQ+VLRdVMDYGMmREpRDXZqudxXn+jdkBBi1EyEfDhbm8DTzgwSMxEFoQghhHTL2RslqJcq4GptopXeQ5fSyvCYKiA1McgRmykgpReaoJQBNDlvzZR+TjixbhwWDHEHABxPKsaSHyMw9L3jWLX9Gj4/dgO/XsrEjohsbD51Ey//GYfJn53BmI9PYePRFBRUNcLRUow3ZvXD4WfGItzXDieTuQDrpL5O+nxqOrdqgh/cJKbIrWjAppOpHTomxEOCD+cNBAB8dyYd2y5rv1n2cVXm1uS+TvgzKhe1TXJ42ZlhiJd+gqX3DHCBj705qhpk2N4Dz1cfTIR8PBDG/RsylIbnas9PCdSUiq7cFoWqhs6VikrMRJoeaJ8fu4HqHiw11SV6RySEEEIIIURFnbkwfYBLtzc6zqWW4LGfr6JRpsT4QAd8vSQUYoF2ygFJx1XUSZFZVg8ACHGX6Hcx7bC3EOPjBwbhxLpxWDLcE1YmApTXSXEwvgD/dyIV6/cl4LW/4rHxaAp+j8zBzeJaMAww0tcOHz8QjLMvTcDy0X0gEvAglStx9gbXe2ZSkPZ6oxkDM5EAG+7rDwD44Ww6bhTVdOi4uaHueG4y96F//b7rOHJde1MRS2ubEK0Kjk4IcsSW81yD8cdG9dFbbzk+j8FKVa+xH85loFHWflaZMVg83BMAl5mWZ0DT6vg8BpsWDoa7jSmyyurx7K7oTpcYLhrmCV8Hc5TXSbH51M0eWqluUVCKEEIIIYQQADKFEsdUpXv3DHTu1n0dTSjE8p8j0SBTYFyAA759KExr/alI58SoprD52JvD2sw4JvD6OljgvfsHIuqNKdj5xAi8NiMIC4a4Y8ZAZ0zu64j5Ye5YM9EP3y8NQ+Trk7HjiRFYMMSj2d/Y1cxy1DbJYW8hxkA3az0+G/2Y0s8JU/o5Qa5k8fpf8R3uE7V2kh/mh3HN51fviMa/CYVaWc/RhEKwLDDAzQoXUkuRWVYPa1Mh5qsy4/Tl/sFucJOYorS2CbsNpDl4d/k6WGCkrx2ULPD7lWx9L6cZG3MRvn0oDGIBD6dSSvDpvymdOl7I5+H1mdyUya3nM5FTXt8Ty9QpCkoRQgghhBACIC63EjWNctiYCRHWjUlYf0Xn4unt1yBVKHHPAGd8v4wCUvoUk10JAFopx9Q1IZ+HcF87rBjri48fGISvl4Thx4eHYuP8QVg3NRBT+zvDzkLc4rHq3mgTgxzu2imPG+7rDzMRH1czK7DlQkaHjmEYBh/MHYh7B7lCrmSxasc1HNVCYOqva1xz68l9nbBRFYhYPcEPZiJBt++7O4R8Hp4c5wMA+PZMOmS9pIH2omFcttQfkbkG0/BcbYCbNT5+IBgA8PXpNOyPze/U8RMCHTHKzw5ShRIfHumZ/me6REEpQgghhBBCAFy8WQYAGOlr3+UP8dsuZ+H5P2KhULKYF+qOLxcNppI9PVOXTA024H5S2sayLE4kcU21JwbdXf2kbucmMcVrM7isko+PpiC1g2V8Aj4Pny8YhJnBLpApWDy1LQq/Xcrs8jqyyuoQmVUBHgNcz6tCSU0TPG3NsGykV5fvU5sWDPGAvYUYeZUN+Du685PhDNHU/k6wMROisLoRZ24U63s5d5gd4qYJBr74Zyyu51V1+FiGYfD6jH5gGOBgXAGissp7apk6QUEpQgghhBBCAFxI4/rvhPvadfpYlmXx5YlU/O/v62BZ4OFwL2x8IBgCPl1u6xPLsog14Ml7PSWtpA7Z5fUQ8XkY42+v7+Xo1ZLhnhgf6ACpXInn/oiBVN6xTCABn4f/ezAEi4Z5QMkCb+xLwJv7rqNJ3vm+S7sjcwEASpZrYM8wwIdzBxpMwNpEyNdMLPzmTJrBZRZ1hVjAx9xQrjRy1xXDLEt8aVoQxgU4oFGmxJO/RaG0tqnDx/ZztcKCMA8AwNsHkjpcnmqI6F2SEEIIIYTc9eQKJaJVZV4jfDoXlJIplHhlTzw+PXYDALBqgi823Nf/ri2ZMiSZZfWoapBBLOAhyMVS38vRGfXUvRG+djAX67c8TN8YhsHH84IhMRPiel41Pu5EuZOAz8P79w/EOtXEs18uZeGBby4hraS2w/fRKFPcMQVuxRgfjPQzrGDhQyO8YG0qRHpJnWbgg7FbOJQL2pxILkZxdaOeV3MnPo/BpkWD0cfeHHmVDXh627UOB00BYN3UAJiJ+IjNqcT+uM6VABoSCkoRQgghhJC7XmZZPZrkSpiJ+PCxN+/wcTWNMjz281X8HpkDHgO8M7s/XpwW1O3JfUQ74lRNzvu5WkF4F2WtqUv37rape61xtDLBh3O5Hj4/ns/AwbiOT9VjGAZrJvljyyNDIDETIj6vCtO/OIuNR5NR2yRv9/g913JRUS/T/Pf0/s54aXpQ559ED7MQC/DISG8AwFenboJljTfzRs3fyRJhXjZQKFn8eS1X38tpkbWpED8sGwJLsQBXMsvx9oGEDh/raGWCp8Zx0xM/PpJitNMT755XZkIIIYQQQlqhHhnv72TZ4QynzNI6PPDNJZxLLYWpkI8flg3B0nDvHlwl6az4XK5PS/BdNH2uql6GyKwKAMBECkppTB/gjCfHcj18XvozFjeLO9ZfSm1ikBMOrR2D8YEOkClYbD6VhpEfnMDHR5I1rx+3Y1kWl9PL8Ppf1zXfm9rPCV8sDAHfQLMoHxnpDTMRH0kF1TiVYnh9mLriQVW21O9Xcwy2xM3P0QJfLAwBwwDbLmffkVnXlsfH+MDF2gR5lQ347VLHjzMkFJQihBBCCCF3vYIqrrTD09asQ7c/kVSEe786j5SiGjhYivHHk+GY1PfubShtqOJVzYMH3EVBqTOpJVAoWQQ4WcCjg3/Pd4sXpwVihI8t6qQKLP8lslM9fADAVWKKrY8MxbcPhcHH3hzVjXJ8fToNUz8/i+HvH8fSnyKwasc1LNtyBcPfP4GF31/WHPvkOB98+5BhT+K0MRfhoRFc8/WvTvaObKlZwS6wEAuQVVaPyxll+l5Oqyb1dcILUwMBAG/uS8CVjI41LzcV8fHsZH8AwNenb6KmUdbOEYaHglKEEEIIIeSuV1UvBQBITIVt3k4qV2Lj0WQs/yUSNY1yhHpKcGDNaAx0v3uCHsZCqWSRkF8NAAh2l+h3MTp0IonrJ3U3T91rjYDPw1eLQ+FuY4qssnos//kq6jpQgnc7hmEwfYAzjj0/Dt8+FIpJQY4Q8Xkoqm7CudRSHIwrwNkbJSiuuRXwemSkN169p69R9Jl7fHQfiAQ8XMuuxOV0457qBgBmIgHuC3EFYLgNz9WeHu+LWcEukCu5iY95lQ0dOm5eqDt8HMxRUS/DD+cyeniV2kdBKUIIIYQQctdT94BStpEZkFpUg7nfXMDmU2kAgKUjvLBrRTicrEx0skbSORlldahtksNEyIOvQ8f7hBkzuUKJ0yklAIBJfal0ryX2FmL88tgw2JgJEZtbhae3X+tSLx4+j8H0AS746ZGhiF4/BXueCsfH84KxflY/fPxAMHxUf3N97M3x+sy+2n4aPcbRygQPDuFK3jafuqnn1WjHoqGeAIAj1wtRUSfV82paxzAMPn4gGP1crFBWJ8Xyn692qG+ZgM/Di6osqx/PpXc6A1DfKChFCCGEEELuevYWIgBATsWdO9O1TXJ8dCQZMzedx/W8akjMhPhq8WC8M2cARAK6nDZU6n5S/V2tIbhLmpxfy65EVYMMEjMhQj1t9L0cg+XrYIGfHhkKEyEPZ26U4IlfI9Eg7XqTaHOxAGFetlgw1AOPje4DJysTpJfUAQA+nDvQ6JrsrxjrAwGPwfmbpYhS9SczZgPcrNDPxQpShRJ/RefpezltMhMJ8MPDQ2BvIUZyYQ2e2RkNRQd6YU0f4Ixgd2vUSxVGF0w0rn8dhBBCCCGE9IChfWwBAJfSShGbUwmWZZFWUovPjt3AuI9P4ZvTaZAqlJgQ6ICjz47FrGBXPa+YtEfdT2rgXdRP6kQyV7o3IdDRYJtpG4pQTxtseXgozER8nEstxcNbrmgliya7rB5rd0YDAJaFe2G4j12371PXPGzNMC/UHQDw5clUPa+m+xiGwaJhtxqeG3qvLDeJKX58eAjEAh5OJBfj/UNJ7R7DMAxemsZNddx+ORu5FfU9vUytoaAUIYQQQgi56wU6WWJsADdVa/bmCwh84wgmfXoGm06koqxOCm87M/ywbAi2PDKUyvWMhDpT6m4KSp1M4iam0dS9jhnpZ49fHxsGS7EAVzLLcd/m80gurO7y/RVXN+KRrVdQ1SDDIA+JUZXt/dfTE3zB5zE4nVKC2JxKfS+n2+4LcYOJkIeUohpEG8HzCfGQ4NMFgwAAP53P6NBEvtH+9hjpawepQokvjhtPMJGCUoQQQggh5K7HMAy+XDgYU/pxzaGlciVEfB5G+9njq8WDcfz5cZjSz0nTe4oYNoWSRUK+Kih1lzShzyqrQ2pxLfg8BmMDHPS9HKMxxNsWfz41Ep62Zsgpb8Dsry7gx3PpHSqZul16SS0Wfn8Z6aV1cJOY4tuHQiEWGO6kvfZ42ZljTogbAGDTCeMJcLTG2lSIGQNdAAC/G3jDc7VZwa5YNyUAALB+XwLOp5a2e8xL07lsqb3XcpFeUtuj69MWCkoRQgghhBACwNpMiB+WDUH8hqk499IExG2Yim2PD8esYNe7pidRb5FRWos6qQKmQj58HSz0vRydOJbIle6N8LGFdTtTJElzgc6W+Gf1KIwNcECTXIl3Dybh/q8v4MLN9oMASiWLP67mYPZXF5BeWgdXaxPsWjECLtamOlh5z1o1wRc8BjiRXIzrqnJYY7ZQ1fB8f1w+ahplel5Nx6ye6Ic5Ia5QKFk8tT0KN4vbDjSFeEgwua8jlCw0QzkMHb27EkIIIYQQchtLEyE8bM1gIjTeLIe7nbqfVH9Xq7umt9K/CVxQakpfJz2vxDhJzET45dGh+GDuQFiIBYjLrcKSHyMwc9M5/HQ+AymFNZrsKZZlkV1Wj98uZ2HGpnN4aU8caprkGOptg79Xj4KHrZmen412+DhY4L5BXP+83pAtNdTbBj4O5qiXKnAovkDfy+kQhmHw4bxghHnZoKZRjuW/XEVZO9P11kz0BwD8HZOH7DLD7y0l0PcCCCGEEEIIIUSb4nLvrtK9stomRGaVAwCm9HfW82qMF9cQ2xOT+jri61Np2BGRjYT8aiTkJwIAeAxgZSpEfZMCUoVSc5y5iI9nJwfgkVHeRjdprz2rJ/phX2w+/k0sQmJ+Nfq5Wul7SV3GMAzmh3ngoyPJ+DMqFw+qMqcMnYmQj++XhmHO1xeQVVaP5b9EYucTI2AqannjZJCHBGMDHHD2Rgm+OXMTH8wN1vGKO6d3/YshhBBCCCGE3PWu32WT904kF0PJAgPcrOAmMf6yMX1ztDTBhvv6I+K1Sdhwbz+M8rODmYgPJQtU1ssgVSgh5DMI9ZTgfzP74sIrE/HEWJ9eF5ACAD9HS8xU9WL66pTxZ0vNDXUDjwGuZlYgs7RO38vpMDsLMbY+MgwSMyFiciqxZuc1yG8LjP7X2ol+AIA/o3KRV9mgq2V2CWVK6YB65GR1ddcnORBCCCFEP9Tv34Y+QpoQwlEoWVzP4/7dBt8lmVK3SvcoS0qbbMxFeGRUHzwyqg8UShZldU2orJfBXCyAnbnorinxXTPRHwfiCnAovhAphTUIdLbU95K6zMnKBGMDHHA6pQR/RuXihWmB+l5Sh/k5WuDHZUOw5McIHE8qxhv7EvD+/QNaHMAxxNsW4T52uJRehu/OpOHt2QP0sOKOoaCUDtTU1AAAPDw89LwSQgghhHRVTU0NrK3vjg+4hBiz9JJaNMgUMBPx0ce+9zc5r5fKcS61BAAwtT/1k+opfB4DR0sTOFqa6HspOhfobIl7Bjjj8PVCfHXqJr5cNFjfS+qWB8LccTqlBHuu5eK5KQFG1XduiLctNi0ajKe2RWHnlWy4WptgzST/Fm+7ZqIfLqWX4Y/IHDw/JQASM5GOV9sxFJTSAVdXV+Tk5MDS0pLGCKtUV1fDw8MDOTk5sLIy3rpkQ0fnWTfoPPc8Ose6Qee5ZSzLoqamBq6urvpeCiGkA9RNzge4WhvVh82uOpdaiia5Eh62pggy4gwWYthWT/TD4euFOBCXj2cm+cPP0XgDvpP7OsHKRICCqkZcSivDaH97fS+pU6b1d8Zb9/XHG/sS8OmxG3CyMsGCoXcmwIT72qGvixWSCqqx62oOVo7z1cNq20dBKR3g8Xhwd3fX9zIMkpWVFX3w0QE6z7pB57nn0TnWDTrPd6IMKUKMh7p0r7/b3fE6dnvpHm2Ak57S39UaU/o54VhiETafuonPHwzR95K6zETIx+wQN/x2OQu7o3KMLigFAEvDvVFQ1YivT6fhlb1xsDARYIaq95cawzB4dJQ3XvozDr9ezMTjo/tAYIB9zwxvRYQQQgghhBDSRUkFXFCqn0vvD0rJFUqcSOaCUlS6R3ra2olcmdi+mDxkGFGT8JY8EMYljRy5XojqRpmeV9M1L04LxMKhHlCywNqd0TiVXHzHbe4b5ApbcxHyqxrxb2KRHlbZPgpKEUIIIYQQQnoFlmWRqApK9b0LglKRWRWorJfBxkyIIV42+l4O6eUGultjUpAjlCyw+dRNfS+nW4LdreHvaIEmuRIH4wr0vZwuYRgG790/EPcNcoVcyWLltihcTCttdhsTIR+Lh3kCAHZEZOtjme2ioBTRC7FYjDfffBNisVjfS+nV6DzrBp3nnkfnWDfoPBNCjF1BVSOqGmQQ8Bj4Oxlvz5uOUpfuTQxyMsiyHNL7qJtq/xWdh+yyej2vpusYhsH8IVy21J9RuXpeTdfxeQw+XTAIk/s6oUmuxOO/ROJKRnmz2ywYwvWbuphWiuLqRn0ss030ykX0QiwWY8OGDfTBp4fRedYNOs89j86xbtB5JoQYu8R8LkvKz9ECYgFfz6vpWSzL4t/EQgBUukd0J8RDgnEBDlAoWaPPlpoT4gY+j0FUVgXSSmr1vZwuE/J5+GrxYIzxt0e9VIFlWyI0EzkBwNPODKGeEihZ4J/YfD2utGUUlCKEEEIIIYT0CndTP6nkwhrkVjTARMjDWH8HfS+H3EXWqrKl9lzLRU658WZLOVqZYFwA929njxFnSwFcmd4Py4ZgQqADGmVKLP85EkcTCjU/nx3iBgA4ZoB9pSgoRQghhBBCCOkV7qZ+UurSvdF+DjAV9e6sMGJYwrxsMMbfHnIliy9Ppup7Od0yX9XwfO+1PCiUrJ5X0z0mQj6+WzoE9wxwhlShxMptUfjhbDpYltVMGIzOqUSjTKHnlTZHQSlCCCGEEEJIr5B0FwWl1FkQU/tR6R7RveemBAAA9lzLQ6YRT+Kb2NcREjMhCqsbcf5mafsHGDiRgIcvFw3GomGeYFngvUNJWLsrBrZmIliaCCCVKw0uu42CUoQQQgghhBCjV9skR6aq8XJfF0s9r6ZnZZXVIbGgGnwegykUlCJ6EOppgwmBXG+pTUacLSUW8DF7kCsA4254fjsBn4f37x+A9bP6gccA+2PzMW7jKdQ0ygEAMoVhZYRRUIoQQgghhBBi9FIKuSwpJysx7Cx698CGw9e5LKlwHzvYmIv0vBpyt1JnS/0dnWfUjcLnqUr4jiUWorZJrufVaAfDMHhsdB/sfXoUApwsUK0KSHnZmRncZFIKShGtKC8vx5IlS2BlZQWJRILly5ejtrbtF6bGxkasWrUKdnZ2sLCwwLx581BU1Lzx2tq1axEWFgaxWIyQkJAW7ycuLg5jxoyBiYkJPDw88PHHH2vraRmcnjrP2dnZmDlzJszMzODo6IgXX3wRcvmtF+TTp0+DYZg7vgoLC//7cEZp8+bN8Pb2homJCYYPH44rV660efvdu3cjKCgIJiYmGDhwIA4dOtTs5yzLYv369XBxcYGpqSkmT56M1NTmO0hd+V0aO32cZ29v7zv+bj/88EOtPzdDoe1zvHfvXkydOhV2dnZgGAYxMTF33EdHXmMIIUQX1JP37oYm54fjCwAA0wc463kl5G4W7C7B5L5OULLAphPGmy010M0aPg7maJQpcfR67/h8oxbiIcHhZ8bil8eG4f37B2LPUyMh5BtWGMiwVkOM1pIlS5CQkIBjx47hwIEDOHv2LFasWNHmMc899xz279+P3bt348yZM8jPz8fcuXPvuN1jjz2GBx98sMX7qK6uxtSpU+Hl5YWoqChs3LgRGzZswPfff6+V52VoeuI8KxQKzJw5E1KpFBcvXsQvv/yCn3/+GevXr7/jvlJSUlBQUKD5cnR01Ppz1LXff/8dzz//PN58801cu3YNgwYNwrRp01BcXNzi7S9evIhFixZh+fLliI6Oxpw5czBnzhxcv35dc5uPP/4YmzZtwrfffouIiAiYm5tj2rRpaGxs1NymK79LY6av8wwAb7/9drO/2zVr1vToc9WXnjjHdXV1GD16ND766KNWH7ejr+WEENLTEgtqAPT+flK5FfWIza0CwwDT+lNQiujXs5O5SXz/xOYjtahGz6vpGoZhcL9qOt3fMXl6Xo328XkMxgU4YPFwT9gbYhYpS0g3JSYmsgDYq1evar53+PBhlmEYNi8vr8VjKisrWaFQyO7evVvzvaSkJBYAe+nSpTtu/+abb7KDBg264/tff/01a2NjwzY1NWm+9/LLL7OBgYHdeEaGqafO86FDh1gej8cWFhZqbvPNN9+wVlZWmvN66tQpFgBbUVHRA89Mv4YNG8auWrVK898KhYJ1dXVlP/jggxZvv2DBAnbmzJnNvjd8+HD2ySefZFmWZZVKJevs7Mxu3LhR8/PKykpWLBazO3fuZFm2a79LY6eP88yyLOvl5cV+/vnnWnwmhkvb5/h2GRkZLAA2Ojq62fc7+1pOSGdVVVWxANiqqip9L4UYgfu+Os96vXyA/Semd76Xqv1wNo31evkAO//bi/peCiEsy7Lsk79Gsl4vH2Cf3h6l76V0WVZpHev18gG2zysH2KKqBn0vp1fo6Hs4ZUqRbrt06RIkEgmGDBmi+d7kyZPB4/EQERHR4jFRUVGQyWSYPHmy5ntBQUHw9PTEpUuXOvXYY8eOhUh0q5Z+2rRpSElJQUVFRReejeHqqfN86dIlDBw4EE5Ot5pkTps2DdXV1UhISGh2fyEhIXBxccGUKVNw4cIFbT49vZBKpYiKimp2fng8HiZPntzq3+GlS5ea3R7gzpf69hkZGSgsLGx2G2trawwfPrzZOe/s79KY6es8q3344Yews7PD4MGDsXHjxmalqb1FT5zjjtDWazkhhHSXQslqekr1c+3dmVJHVOVFM6h0jxiIZ6dw2VIH4wqQrPp3aGw87cwQ5mUDJctlfRHdoaAU6bbCwsI7yrgEAgFsbW1b7TlUWFgIkUgEiUTS7PtOTk6d6lNUWFjYLJiivg/1z3qTnjrPHTmHLi4u+Pbbb7Fnzx7s2bMHHh4eGD9+PK5du6aNp6Y3paWlUCgULT7/ts5pW7dX/297t+ns79KY6es8A1xful27duHUqVN48skn8f777+Oll17q9nMyND1xjjtCW6/lhBDSXRmldWiUKWEi5MHbzlzfy+kxRdWNiMziNl6nD3DR82oI4QQ5W2FmMPf3+MUx4+0tNWdw7y3hM2QUlCKteuWVV1psbn37V3Jysr6XafSM4TwHBgbiySefRFhYGEaOHIktW7Zg5MiR+Pzzz/W6LkLa8/zzz2P8+PEIDg7GypUr8emnn+LLL79EU1OTvpdGCCFEi1IKuV42gU6W4PMYPa+m5xxN4AL+oZ4SOFub6Hk1hNzy7CR/MAxwJKEQ1/Oq9L2cLpk50AUCHoPredVG2x/LGFFQirRq3bp1SEpKavPLx8cHzs7OdzTSlcvlKC8vh7Nzy2nFzs7OkEqlqKysbPb9oqKiVo9p7X7+O+VJ/d+duR990vd57uo5HDZsGG7evNnZp2tQ7O3twefzW3z+bZ3Ttm6v/t/2btPZ36Ux09d5bsnw4cMhl8uRmZnZ2adh0HriHHeEtl7LCSGku26oPkAGOFnqeSU965Bq6t49lCVFDIy/kyXuDXYFAHxx3DizpWzNRRgf6ACAsqV0iYJSpFUODg4ICgpq80skEiE8PByVlZWIiorSHHvy5EkolUoMHz68xfsOCwuDUCjEiRMnNN9LSUlBdnY2wsPDO7zG8PBwnD17FjKZTPO9Y8eOITAwEDY2Nl141rqn7/McHh6O+Pj4ZkGSY8eOwcrKCv369Wt13TExMXBxMe4LIpFIhLCwsGbnR6lU4sSJE63+HYaHhze7PcCdL/Xt+/TpA2dn52a3qa6uRkRERLNz3tnfpTHT13luSUxMDHg8Xq+YHHm7njjHHaGt13JCCOmu1OLeH5QqrW3ClYxyAMB06idFDNDaSf7gMcDxpCLE5VbqezldMls1hW9fTD6USlbPq7lL6KjxOunlpk+fzg4ePJiNiIhgz58/z/r7+7OLFi3S/Dw3N5cNDAxkIyIiNN9buXIl6+npyZ48eZKNjIxkw8PD2fDw8Gb3m5qaykZHR7NPPvkkGxAQwEZHR7PR0dGaqXCVlZWsk5MTu3TpUvb69evsrl27WDMzM/a7777TzRPXsZ44z3K5nB0wYAA7depUNiYmhj1y5Ajr4ODAvvrqq5rbfP755+zff//NpqamsvHx8ewzzzzD8ng89vjx47p54j1o165drFgsZn/++Wc2MTGRXbFiBSuRSDTTCJcuXcq+8sormttfuHCBFQgE7CeffMImJSWxb775JisUCtn4+HjNbT788ENWIpGw+/btY+Pi4tjZs2ezffr0YRsabk3yaO932dvo4zxfvHiR/fzzz9mYmBg2LS2N3bZtG+vg4MAuW7ZMt09eR3riHJeVlbHR0dHswYMHWQDsrl272OjoaLagoEBzm468lhPSVTR9j3TUpE9Ps14vH2BPJRfpeyk9ZvvlLNbr5QPsrE3n9L0UQlr13K5o1uvlA+wjWyLav7EBqm+Ss/3XH2G9Xj7AXsko0/dyjFpH38MpKEW0oqysjF20aBFrYWHBWllZsY8++ihbU1Oj+bl6nPipU6c032toaGCffvpp1sbGhjUzM2Pvv//+Zh90WJZlx40bxwK44ysjI0Nzm9jYWHb06NGsWCxm3dzc2A8//LCnn67e9NR5zszMZO+55x7W1NSUtbe3Z9etW8fKZDLNzz/66CPW19eXNTExYW1tbdnx48ezJ0+e7PHnqytffvkl6+npyYpEInbYsGHs5cuXNT8bN24c+/DDDze7/R9//MEGBASwIpGI7d+/P3vw4MFmP1cqlewbb7zBOjk5sWKxmJ00aRKbkpLS7Dbt/S57I12f56ioKHb48OGstbU1a2Jiwvbt25d9//332cbGxh59nvqk7XO8devWFl+D33zzTc1tOvIaQ0hXUVCKdESjTM76vHqQ9Xr5AJtXUa/v5fSYh368zHq9fID96mSqvpdCSKvSS2o1/x6jssr1vZwuWfdHDOv18gH21b1x+l6KUevoezjDsizlpBFCCCGEEINTXV0Na2trVFVVwcrKSt/LIQYqubAa0784B0uxAHEbpoJhel+j88p6KYa8exxyJYuT68bBx8FC30sipFUv7o7F7qhcjPG3x2/Lja81xfnUUjz0UwSsTYW4+vpkiATU9agrOvoeTmeXEEIIIYQQYrRuFNUCAPycLHplQArgpu7JlSyCnC0pIEUM3tpJ/hDwGJxLLcXl9DJ9L6fTwn3t4GgpRlWDDKdTits/gHQLBaUIIYQQQgghRks9uj2wFzc53x/LTd27d5CrnldCSPs8bM2wcJgHAGDj0RQYW3EWn8do/q3tjyvQ82p6PwpKEUIIIYQQQozWDVVQyr+XBqVKappwMa0UAHBvMAWliHFYM9EfYgEPUVkVOGWE2Uazgrkp4yeSitAgVeh5Nb0bBaUIIYQQQgghRitVVb4X4NQ7y9qOXC+AkgUGuVvD085M38shpEOcrEzwyEhvAMDGozegVBpXtlSIhwTuNqaolyqMMqhmTCgoRQghhBBCCDFKjTIFMsvqAAABvTRTikr3iLFaOc4XlmIBkgqqcSDeuMrgGIbBTFW21IG4fD2vpnejoBQhhBBCCCHEKKWX1EHJAlYmAjhaivW9HK0rqGrAlcxyANB8QCbEWNiYi/DEWB8AwGf/pkCmUOp5RZ2jLpc9mVyMuia5nlfTe1FQihBCCCGEEGKUUou5flIBTpa9cvLeQVWT5aHeNnCxNtXzagjpvMdG94GduQiZZfXYE5Wr7+V0Sn9XK3jbmaFRpsTxpCJ9L6fXoqAUIYQQQgghxCj19ibn6slfVLpHjJWFWICnJ/gBAP7vRCoaZcbTNLx5CZ9xlR8aEwpKEUIIIYQQQoxSegnXT8rPsfc1Oc8uq0dsTiV4DHDPACrdI8ZryXBPuFqboKCqEdsuZ+l7OZ0yS1XCdyalBDWNMj2vpneioBQhhBBCCCHEKGWUckEpH3tzPa9E+w7Ec82Vw33t4NAL+2WRu4eJkI9nJvsDAL4+nYZaI+rPFORsCV8Hc0gVShxLpBK+nkBBKUII6YKSkhI4Ozvj/fff13zv4sWLEIlEOHHihB5XRgghhNwdlEr2VlDKofcFpTRT94KpdI8Yv3mh7vCxN0d5nRQ/ncvQ93I6jGEYTbYUlfD1DApKEUJIFzg4OGDLli3YsGEDIiMjUVNTg6VLl2L16tWYNGmSvpdHCCGE9Hr5VQ1okish5DNwk/SuJuA3i2uRVFANAY/B9AHO+l4OId0m4PPw/NQAAMAP59JRUSfV84o6bpaqr9S51BJU1VMJn7ZRUIoQQrpoxowZeOKJJ7BkyRKsXLkS5ubm+OCDD/S9LEIIIeSuoO4n5WVnDgG/d32sORDHle6NDXCAxEyk59UQoh0zBrign4sVapvk+PZMmr6X02H+TpYIdLKETMHiaGKhvpfT6/SuV29CCNGxTz75BHK5HLt378b27dshFlPPB0IIIUQXems/KZZl8U8sF5RSZ2gQ0hvweAxenB4IAPj5YiYKqxr1vKKOmzGQ+7d49DoFpbSNglKEENINaWlpyM/Ph1KpRGZmpr6XQwghhNw10ktqAQB9elk/qbjcKqSX1MFEyMPU/lS6R3qX8QEOGOZtiya5Ep8fu6Hv5XSYuoz23M1So2rUbgwoKEUIIV0klUrx0EMP4cEHH8Q777yDxx9/HMXFxfpeFiGENFNeXo4lS5bAysoKEokEy5cvR21tbZvHNDY2YtWqVbCzs4OFhQXmzZuHoqLmU4eys7Mxc+ZMmJmZwdHRES+++CLk8pYv1C9cuACBQICQkBBtPS1CkK7KlPK1t9DzSrTrr+g8AMDUfs6wEAv0vBpCtIthGLx8TxAAYHdUDlKLavS8oo4JcLKAt50ZpHIlTqfQ9b42UVCKEEK66PXXX0dVVRU2bdqEl19+GQEBAXjsscf0vSxCCGlmyZIlSEhIwLFjx3DgwAGcPXsWK1asaPOY5557Dvv378fu3btx5swZ5OfnY+7cuZqfKxQKzJw5E1KpFBcvXsQvv/yCn3/+GevXr7/jviorK7Fs2TIaAkG0Tt1TqjdlSskUSuxXle7dP9hNz6shpGeEedlgen9nKFngoyPJ+l5OhzAMg2mqbKmjCUXt3Jp0BgWlCCGkC06fPo0vvvgCv/32G6ysrMDj8fDbb7/h3Llz+Oabb/S9PEIIAQAkJSXhyJEj+PHHHzF8+HCMHj0aX375JXbt2oX8/PwWj6mqqsJPP/2Ezz77DBMnTkRYWBi2bt2Kixcv4vLlywCAf//9F4mJidi2bRtCQkJwzz334J133sHmzZshlTafqLRy5UosXrwY4eHhPf58yd2jUaZAflUDgN7VU+p8ainK6qSwMxdhjL+9vpdDSI95cXog+DwGx5OKEZFepu/ldMg0VTntqeRiNMkVel5N70FBKUII6YLx48dDJpNh9OjRmu95e3ujqqoKTz31lB5XRgght1y6dAkSiQRDhgzRfG/y5Mng8XiIiIho8ZioqCjIZDJMnjxZ872goCB4enri0qVLmvsdOHAgnJycNLeZNm0aqqurkZCQoPne1q1bkZ6ejjfffLND621qakJ1dXWzL0JakllWB5YFrEwEsDXvPdPp9qpK9+4d5NrrJgoScjtfBwssGuYBAPjgcDJYltXzitoX4i6Bk5UYtU1yXLxpHIE0Y0CvdIQQQgghvVRhYSEcHR2bfU8gEMDW1haFhS1PECosLIRIJIJEImn2fScnJ80xhYWFzQJS6p+rfwYAqampeOWVV7Bt2zYIBB3ri/PBBx/A2tpa8+Xh4dGh48jdJ0NVuufjYAGGYfS8Gu2oaZTh3wTu38/cUCrdI73fM5MCYCbiIyanEoeNYKodj8dgaj8uW+qIEazXWFBQihBCCCHEyLzyyitgGKbNr+Rk/fXpUCgUWLx4Md566y0EBAR0+LhXX30VVVVVmq+cnJweXCUxZlnl9QAAbzszPa9Ee45cL0STXAkfB3MMdLPW93II6XEOlmI8McYHAPDxkWTIFEo9r6h96il8x5OKoFAafnaXMaBxDoQQQgghRmbdunV45JFH2ryNj48PnJ2d75gKKpfLUV5eDmfnlkfNOzs7QyqVorKyslm2VFFRkeYYZ2dnXLlypdlx6ul8zs7OqKmpQWRkJKKjo7F69WoAgFKpBMuyEAgE+PfffzFx4sQ7HlssFkMsFrf5vAgBgGxVUMrTtvcEpf6O4Ur35g526zXZX4S054mxPtgekYXMsnrsvJKNZeHe+l5Sm4b1sYW1qRBldVJEZpZjuI+dvpdk9ChTihBCCCHEyDg4OCAoKKjNL5FIhPDwcFRWViIqKkpz7MmTJ6FUKjF8+PAW7zssLAxCoRAnTpzQfC8lJQXZ2dmaZuXh4eGIj49vFvA6duwYrKys0K9fP1hZWSE+Ph4xMTGar5UrVyIwMBAxMTGtPjYhHZWjCkq595KgVEFVAy6mcT1qZodQ6R65e1iIBXhmMpdR+3/HU1HbJNfzitom5PMwuS9Xrn4kgUr4tIGCUoQQQgghvVTfvn0xffp0PPHEE7hy5QouXLiA1atXY+HChXB1dQUA5OXlISgoSJP5ZG1tjeXLl+P555/HqVOnEBUVhUcffRTh4eEYMWIEAGDq1Kno168fli5ditjYWBw9ehT/+9//sGrVKojFYvB4PAwYMKDZl6OjI0xMTDBgwACYm/eeaWlEP3J6WabUvph8sCwwzNsWHr3kORHSUQuHesDH3hxldVJ8fyZN38tp17T+XFDq34Qio2jQbugoKEUIIYQQ0ott374dQUFBmDRpEmbMmIHRo0fj+++/1/xcJpMhJSUF9fX1mu99/vnnmDVrFubNm4exY8fC2dkZe/fu1fycz+fjwIED4PP5CA8Px0MPPYRly5bh7bff1ulzI3cnhZJFXmUDAPSaAM7fqql7cwZTlhS5+wj5PLw4LRAA8MO5DBRXN+p5RW0bG+AAUyEfeZUNSCygKbHdxbAU2iOEEEIIIQaouroa1tbWqKqqgpWVlb6XQwxEXmUDRn14EkI+g+R37gGfZ9z9lxLzqzFj0zmI+DxcfX0yrM2E+l4SITrHsizmfnMR0dmVWDTMEx/MHajvJbXp8V+u4nhSMV6YGoDVE/31vRyD1NH3cMqUIoQQQgghhBgNdemem8TU6ANSALA7ipsyOamvIwWkyF2LYRi8NqMvAOD3q9lIKazR84raNjGIK+E7mVzczi1JeygoRQghhBBCCDEa6sl7vaF0r0mu0JTuLRjqoefVEKJfQ71tMb2/M5Qs8O7BRIPu1zQhyAEAEJ1TibLaJj2vxrhRUIoQQgghhBBiNHJ7UVDqRFIxKuplcLISY6y/g76XQ4jevTojCCI+D+dSS3H6Rom+l9MqF2tT9HOxAssCZwx4ncaAglKEEEIIIYQQo6HJlLIx/qDUH5Fc6d68UPdeUYpISHd52ZnjkVHeAID3DiZBplDqd0FtmBjkCAA4QSV83UJBKUIIIYQQQojRyKngJu95GnmmVGFVI86qMizmD6HSPULUVk3wg625CDeLa7HzSra+l9OqiX25oNTZGyUGHTwzdBSUIoQQQgghhBiN/EouKOUqMdHzSrpnz7VcKFlgmLct+tib63s5hBgMa1MhnpvMTbT7/NgNVNXL9Lyilg1yl8DWXISaRjmisir0vRyjRUEpQgghhBBCiFGQK5QoruGaCrtKTPW8mq5jWRa7VaV7Dwxx1/NqCDE8i4Z5wt/RAhX1Mnx5MlXfy2kRn8dgfCDXC46m8HUdBaUIIYQQQgghRqG0VgqFkoWAx8DeQqzv5XTZ1cwKZJbVw0zEx8yBLvpeDiEGR8Dn4fWZfQEAv1zKREZpnZ5X1DJ1XykKSnUdBaUIIYQQQgghRqGgiivdc7IyMerG4OoG57OCXWAuFuh5NYQYpvGBjhgX4ACZgsUHh5L0vZwWjfF3AJ/H4GZxLXJUQxhI51BQihBCCCGEEGIUCqsaAQDO1sbbT6q2SY5D8QUAgAXU4JyQNv1vZl/weQz+TSzCpbQyfS/nDtamQgz2kAAAzt8s1e9ijBQFpQghhBBCCCFGoaAXBKUOxuWjXqqAj705wrxs9L0cQgyav5MlFg3jgrfvHEiEQsnqeUV3Gu1vDwA4n0pBqa6goBQhhBBCCCHEKBRWc0EpFyvjDUrtiOBG3M8f4gGGMd4SREJ05bnJAbA0ESCxoBq7rmbrezl3GKMKSl1IKzXIoJmho6AUIYQQQgghxCgYe6bU9bwqxOZWQchnMJ+m7hHSIXYWYjw/JQAAsPFoCirqpHpeUXOD3CWwFAtQWS9DQn6VvpdjdCgoRQghhBBCCDEKhapG5y7WpnpeSddsV2VJTevvbNTTAwnRtaUjvBDoZInKehk+PZai7+U0I+DzMMLXDgBwjkr4Oo2CUoQQQgghhBCjYMyZUjWNMuyLyQMALBnupefVEGJcBHweNtzXHwBXAmtoGUljqK9Ul1FQihBCCCGEEGLwWJZFSU0TAMDR0viyjPbFqBqcO5hjhI+tvpdDiNEJ97XDrGAXKFlgwz8JYFnD6d802o8LSkVlVaBBqtDzaowLBaUIIYQQQgghBq+2SY4muRIAjK70jWVZTene4mGe1OCckC56fWZfmAr5uJpZgX0x+fpejkYfe3O4WptAqlAiIqNM38sxKhSUIoQQQgghhBi8slquubG5iA9TEV/Pq+mcmJxKJBVUQyTg4f/bu/f4qKq73+PfmSQzuZELISQQQrgHkTtIjMcrIlh5PKJYLVrrrUofqfpU66O2R7GecxDBRzz6WK2XI5ZWaVGrouhzEFQuiRFDuCMiEgiEJJAQciH3WeePkKmRBAJm9t4TPu/XKy9lz5q9fntN3Lzm61prXzuODc6B09UrNkK/njhIkjRn2XZV1TXaXFEzl8ul848t4cvaRSh1KgilAAAAADheaXXz0r2EIJslJf1zg/N/GdFLcZEem6sBgtsvL+ivtIRIlVTW6bmVO+0uxy/z2GbnObvLbK4kuBBKAQAAAHC8Q8dmSiVEB1eoc+Rog5ZubF5mdOO5fW2uBgh+3tAQzb5ymCTp/67ZrV0Hq2yuqNk5/Zr3itu6/4iqHTKDKxgQSgEAAABwvJblewlRwTVT6u31+1TX6FN6UjeN7RtvdzlAlzBxaJImDu2phiajR9/b4ohNz/vERyolLkKNPqO8veV2lxM0CKUAAAAAOF5pVfPyvR5BNFPK5zN6PTtfkvTzc9ngHOhMs68cJm+oW2u/LdX7G52x6fk5/ZqD5y/Z7LzDCKUAAAAAON6hqpY9pYInlPrsmxLtKT2qbuGhumYsG5wDnSktIUp3H9v0/H9+sE1HjjbYXJE0oX/zvlJf5rOvVEcRSgEAAABwvEPVwbd877W1+ZKk68enKsobam8xQBd054UDNahntA5V1Wvef31tdzma0L95plTe3nLVNTbZXE1wIJQCAAAA4HgtsyDio8JsrqRjvi2p1Oqdh+RySTef18/ucoAuyRPq1v+aNlyS9MaXe7V+72Fb6xmYGK3uUR7VNfq0Zf8RW2sJFoRSAAAAAByvsrY5lIoJD45Q6vWsPZKkSWclKbV7pM3VAF3XuQMSNH1sHxkj/f4fW9TY5LOtFpfL9b19pewNyIIFoRQAAAAAx6uobX7EercgCKWO1DTo7fX7JEm3MksKCLjfXTFUcZFh2n6gQguz8m2tpeUpmxsLym2tI1gQSgEAAABwPP9MqQjn78205KsCHa1v0pCkaGUOTLC7HKDLS4j26uGfDJUkPb38GxWW19hWy8g+cZKkTfvKbashmBBKAQAAAHC8iprgmCnV5DN6PTtfknTLef3lcrnsLQg4Q/x0XKrGp8XraH2THn1vi4wxttQxok+sXC6p8EitSiprbakhmBBKAQAAAHC02oYm1R/bJyYm3NkzpT7ZXqyCshrFRoRp2pjedpcDnDHcbpfmXDNCYSEufbK9RO9vLLSljmhvqAYlRkuSNhWw2fnJEEoBAAAAcLSKY0v33C4pyuPsUOqlVd9Jkm7I6KtIh9cKdDVDkrrp7omDJUl/WLpNpVV1ttQxKjVOEkv4OoJQCgAAAICjVR7b5DzaGyq327nL4b7KL1PunsPyhLjZ4Bywyb9ePFBDk7uprLpejy3dZksNo/rESpI27mOm1MkQSgEAAABwtKN1TZKkKK+zZx796dgsqavHpKhnTLjN1QBnprAQt+ZfO0ohbpeWbizU8m3Fltfw/c3O7drbKlgQSgEAAABwtLrG5lAqPCzE5kra921Jlf/L7x0XDrC5GuDMNqJPrO64oPm/w9//Y7OO1DRY2n96cje5XdLhow06WGnPEsJgQSgFAAAAwNHqGps3OfeGOvfryyurm2dJXTYsSYN6RttcDYB/mzRYA3pEqaSyTnM+3G5p3+FhIerXI0qStKO40tK+g41z7+oAAAAAoJL9zXAAABfrSURBVH/OlHJqKFVSUat31u+XJM1klhTgCOFhIXry2pFyuaS/fVWgz785aGn/6UndJEk7igilTsSZd3UAAAAAOKauoWWmlDOX7y3Myld9k0/j0uI1vl93u8sBcMw5/brr5sx+kqQHlmxU+dF6y/oefCyU+oaZUidEKAUAAADA0fzL98Kc9/XlSE2DFn2xR5J0J7OkAMd58PKhGpDYvIzv9+9usWzjcf9MqeIqS/oLVs67qwMAAADA9zh5+d7rWfmqrG3U4J7RuuysJLvLAfADEZ4QPXP9aIW6Xfpw0wG9v7HQkn7Tk5v3lttZXCmfjyfwtcd5d3UAAAAA+J76puYvdKFuZ319qapr1KtrdkuS7r50sNxul80VAWjLyD5xunviYEnSI+9u0YEjNQHvMy0hSiFul47WN+lgFU/ga4+z7uoAAAAA0A6XwzKfP2fn60hNgwYkRmnqiF52lwPgBGZdMlCjUuNUUduo3y7ZGPDZS2EhbiXHhEuSCsqOBrSvYEYoBQAAAACnqLquUa+sPjZLauIghTBLCnC00BC3Flw3SuFhbq39tlSvZeUHvM/U7hGSpILDhFLtIZQCAAAAEBQs2p+4Q/6as0dl1fVKS4jUlSN7210OgA4YkBit308dJkma+9F2bdpXHtD+UuMjJUkFZYFfLhisCKUAAAAA4BTU1DfppVXfSZJmXTJIoSF8rQKCxc8z+mrK2UlqaDL69Rt5qqhtCFhfqd1bQilmSrWHuycAAAAAnIJFX+TrUFW9+sRH6OoxKXaXA+AUuFwuzZs+SilxEdpbdlS/e2ezTICmYfaKbd5TqqiiNiDn7woIpQAAAAAEBZ8D1u9V1Dboj5/tkiTdc+lghTFLCgg6sZFheu6GMQp1u/TBpgNavK4gIP0kRHskSeVHAzcbK9hxBwUAAADgaN7Q5q8t9U0+myuRXl71ncqPNmhwz2hNH9vH7nIAnKaxfeP1wJR0SdJj72/Vlv1HOr2P+MjmUKqsur7Tz91VEEoBAAAAcLSIsBBJzXs52elgZZ3/iXu/nZLOE/eAIHfHBQN0SXqi6hp9mrkot9PDo+5RhFInQygFAAAAwNEiPc2hVG2jvTOl/nPlTtU0NGl0apwmD0uytRYAP57b7dIz149RWkKk9pfX6NdvrFdjJ87IjDs2U6qmoUm1DfaG6k5FKAUAAADA0VpmStXaOFNqb+lRvfHlXknSg5cPlcvFLCmgK4iNDNNLN41XpCdEWbtK9eTHX3fauVuWHktSgwOWHzsRoRQAAAAARws/NlOqxsaZBk/9vx1qaDK6cEiiMgcm2FYHgM6XntxNT/10lCTp5dW79c76fZ1y3u8/CKHJZ/+DGpyIUAoAAACAo7Us36uqa7Sl/9w9ZXp/Y6FcLunfj22MDKBruWJEL9118UBJ0oNvb1LWrkM/+pzf33auoYlQqi2EUgAAAAAcrWWz4PKj9ZbPNvD5jP6wdJsk6frxqRqeEmtp/wCs89vJ6Zo6opcamoxmLsrVzuLKH3W+79+ueDBC2wilAAAAADhay2PVfaY5mLLS2+v3adO+I4r2hur+ycySAroyt9ul/7hulMalxauytlG3vLZOxRW1p32+qtp/zu6M9oZ2RoldDqEUAAAAAEcLC3ErLjJMkrWPVq+qa9S8/9ohSbp74iAldvNa1jcAe4SHhejlX4xX/x5R2l9eoxte/kKHqupO61yVdQ2SJE+oW55Q4pe2MCoAAAAAHK9lCd+hKutCqedW7NTByjqlJUTqlv/Wz7J+Adire5RHf75tgnrFhmvXwWr9/JWc05qlWXSkeZZVYjSBdnsIpQAAAAA4Xo9jX+pKKk9/Kc2p2Fp4RK+s2S1Jmn3lMHlDQyzpF4AzpHaP1F9/maHEbl59XVSpG1/JOeUZU98dqpYkDUiMCkSJXQKhFAAAAADHS42PlCTtLT0a8L6afEa/+8cWNfmMrhiRrIlDkwLeJwDnGZAYrb/+MkMJUR5tLazQdS9mq6Cs4/egrfuPSJIGJkYHqsSgRygFAAAAwPHSEo6FUqfwhfB0/TVnjzYWlKubN1Szrzw74P0BcK4hSd205FeZSomL0HeHqjX9hSzl7jl80vcZY7T620OSpHMHJAS6zKBFKAUAAADA8VpCqT0BDqUKy2s07+Pmzc3//fJ0JcWEB7Q/AM43IDFab//reUpP6qaSyjr97KVs/Tk7X8aYdt/z1Z7D+u5gtbyhbmUOJJRqD6EUAAAAAMfrl9C8J8uukqoTfhH8MXw+owfe2qiqukaN6RunGzLSAtIPgOCTHBuut+86T1eMSFZDk9Gj723Vz1/N0a6DVce1bWjyac6y7ZKkaaNTFBsRZnW5QYNQCgAAAIDjpSd3U4jbpdLqehVXnN7j2U/m9ex8rf22VOFhbv3HT0cpxO0KSD8AglO0N1TP3zBWj/zLMIWHubX221Jd9vTnuvvNPC3fVqw9pdXK3VOm2xauU97eckV7Q3XvpMF2l+1ooXYXAAAAAAAnEx4WokGJ0dpRXKkt+48oObZzl9V9W1KpuR99LUn63RVnaQAbEwNog8vl0u3n99eks3rq8aXbtOLrEi3dWKilGwtbtfOEuvWfN4xR77gImyoNDoRSAAAAAILC8JRY7Siu1KZ95Zo0rPOeiFfb0KR7F29QXaNPFwzuoZvOZdkegBNLS4jSq7ecoy37j+it3H1avfOg9pfXKNobqsyBPXTPxEEanNTN7jIdj1AKAAAAQFA4p1+83l6/T2t3leq+TjzvH5Zu1dbCCsVHhmn+taPkcrFsD0DHDE+J1fCUWLvLCFrsKQUAAAAgKJw/uIckaUNBuY7UNHTKOZd8VaA3vyyQyyU9O2NMpy8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", 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", 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", 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", 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", 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" ] @@ -361,7 +361,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -385,7 +385,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -401,12 +401,18 @@ ] }, { - "cell_type": "code", - "execution_count": null, - "id": "9594c3f9-abda-44f1-a26e-50562c0138e7", + "cell_type": "markdown", + "id": "17f28cee", "metadata": {}, - "outputs": [], - "source": [] + "source": [ + "***\n", + "\n", + "## Where do you want to go next?\n", + "\n", + "- [Return to Table of Contents](../README.ipynb)\n", + "- [Back to previous notebook](../mSSA/pyEXP%20coefficients.ipynb)\n", + "- [Go to next notebook](orbits%20with%20a%20custom%20force.ipynb)" + ] } ], "metadata": { diff --git a/Tutorials/Orbits/orbits with a custom force.ipynb b/Tutorials/Orbits/orbits with a custom force.ipynb index c64c045..8e35098 100644 --- a/Tutorials/Orbits/orbits with a custom force.ipynb +++ b/Tutorials/Orbits/orbits with a custom force.ipynb @@ -72,12 +72,9 @@ "text": [ "---- EmpCylSL::ReadH5Cache: read \n", "---- EmpCylSL::read_cache: table forwarded to all processes\n", - "Cylindrical::orthoTest: worst=0.00529627\n", - "---- SLGridSph::ReadH5Cache: parameter lmax: wanted 6 found 10\n", - "---- SLGridSph::WriteH5Cache cache file exists\n", - "---- SLGridSph::WriteH5Cache: existing file backed up to \n", - "---- SLGridSph::WriteH5Cache: wrote \n", - "Spherical::orthoTest: worst=0.0357257\n" + "---- Cylindrical::orthoTest: worst=0.00529627\n", + "---- SLGridSph::ReadH5Cache: successfully read basis cache \n", + "---- Spherical::orthoTest: worst=0.000611006\n" ] } ], @@ -114,12 +111,13 @@ "halo_config = \"\"\"\n", "id : sphereSL\n", "parameters :\n", - " numr : 1000\n", + " numr : 2000\n", " rmin : 0.0001\n", " rmax : 1.95\n", " Lmax : 6\n", " nmax : 20\n", - " scale : 0.06667\n", + " rmapping : 0.06667\n", + " scale : 1.0\n", " modelname : SLGridSph.model\n", " cachename : halo.cache.run0\n", "\"\"\"\n", @@ -164,7 +162,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 5, "id": "a6c67e0c", "metadata": {}, "outputs": [], @@ -190,30 +188,23 @@ " pos = bisect.bisect_left(coefs.Times(), t)\n", " # Deal with end point issues\n", " #\n", - " if pos>len(times)-2: pos = len(times)-2\n", + " if pos==0: pos = 1\n", + " if pos>len(times)-1: pos = len(times)-1\n", " # Now for the linear interpolation\n", " #\n", - " a = (times[pos+1] - t)/(times[pos+1] - times[pos])\n", - " b = (t - times[pos])/(times[pos+1] - times[pos])\n", - " coefA = coefs.getCoefStruct(times[pos])\n", - " coefB = coefs.getCoefStruct(times[pos+1])\n", - " coefT = coefA.deepcopy() # Copy one of the structs\n", - " # Assign new data\n", - " coefT.time = t\n", + " a = (times[pos] - t)/(times[pos] - times[pos-1])\n", + " b = (t - times[pos-1])/(times[pos] - times[pos-1])\n", " \n", - " # One can assign data to the map from setCoefs but\n", - " # getCoefs() is read-only\n", - " #\n", - " C = coefT.setCoefs()\n", + " coefA = coefs.getCoefStruct(times[pos-1])\n", + " coefB = coefs.getCoefStruct(times[pos ])\n", + " coefT = coefB.deepcopy() # Copy one of the structs\n", " \n", - " # This is a direct write to the coefficients\n", - " C = a*coefA.getCoefs() + b*coefB.getCoefs()\n", - "\n", - " # Sanity check\n", - " test = np.linalg.norm(coefA.getCoefs() - coefT.getCoefs())\n", - " if test > 1.0e-16: print(test, a, b)\n", + " # Assign new time\n", + " coefT.time = t\n", " \n", - " \n", + " # Interpolation\n", + " coefT.setCoefs(a*coefA.getCoefs() + b*coefB.getCoefs())\n", + "\n", " # Install the coefficients in the basis\n", " basis.set_coefs(coefT)" ] @@ -225,12 +216,12 @@ "source": [ "### Try some orbits\n", "\n", - "These are the first few orbits from the disk.bods file in the Better example." + "These are the first few orbits from the disk.bods file in the DiskHalo example." ] }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 6, "id": "327f23a3", "metadata": {}, "outputs": [ @@ -263,13 +254,14 @@ "# func = pyEXP.basis.AllTimeAccel()\n", "func = TestMe()\n", "\n", - "# Start time ----------------------+ ----End time\n", - "# | | evalcoefs function-+\n", - "# v v v\n", - "times, orbits = pyEXP.basis.IntegrateOrbits(0.0, 0.2, 0.0001, ps, model, func)\n", - "# ^ ^ ^\n", - "# | | +--(basis, coefs) vector\n", - "# Time step--------------------------------+ +---------IC array" + "# Start time ----------------------+ +---End time\n", + "# | |\n", + "# | | eval coefs function-+\n", + "# v v v\n", + "times, orbits = pyEXP.basis.IntegrateOrbits(0.0, 0.2, 0.00001, ps, model, func)\n", + "# ^ ^ ^\n", + "# | | +--(basis, coefs) vector\n", + "# Time step--------------------------------+ +---------IC array" ] }, { @@ -282,13 +274,13 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 7, "id": "7bc02804", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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" ] @@ -298,7 +290,7 @@ }, { "data": { - "image/png": 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", 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", 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", 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9XbhOeT+vMR0JAACg3mKyfHpcdkmM3QKIPcd1b6k7z+4tSXrwg/kqWLPDcCIAAID6idHyyckngNh17YnddM6AdqrxBTQqr0Bby6tNRwIAADikmCyfjN0CiGWWZenJywerW2u3NpZW6YYphar1+U3HAgAAOKiYLJ+cfAKIdR6XQy/lZivZadePK7bpqc+WmI4EAABwUDFdPnnmE0As69k2RU9cNkiSNOmb5Zoxb6PhRAAAAAcWk+WTsVsA8eL8QR305xOOkCTd9sZsrdhSbjgRAADA/sVk+azb80n5BBAH7jqnj47u2kLl1bUakZfP1AcAAIhIsVk+68ZufYaTAED4JdhtejEnU21SXFqyqVx3vT1XgUDAdCwAAIDfiMny6XZy8gkgvrRJSdT4nCw5bJY+mL1e//phlelIAAAAvxGT5TMlOHZbRfkEED+O6tpCfzu3ryTpkY8W6pdV2w0nAgAA2Csmy2fwwqFdNT75/IyeAYgf1xzfVRcM7qBaf0CjJhdoc2mV6UgAAACSYrZ82uveZ/QWQDyxLEuPXTJQPdt4tKWsWtdPKVSNz286FgAAQGyWT5fDLqd990+NWx8BxBu3y6GXrsqWx+XQrFXb9fgni0xHAgAAiM3yKe09/aR8AohH3Vp79NTlgyRJ//h+pT6cs95wIgAAEO9itnwGd32WUT4BxKmzB7TXX0/uJkm64805Wra5zHAiAAAQz2K2fAbXrXDyCSCe3X5mbx3XraUqvT799bV8noMHAADGGC2fPp9P9957r4444gglJSWpe/fueuihh0KyHN3jonwCgMNu07grM9UuNVHLt1Tojjdnh+T3WAAAgIYyWj4ff/xxTZw4US+++KIWLlyoxx9/XE888YTGjRvX6B+7buyWXZ8A4lwrj0vjc7KUYLf08dyN+sd3K01HAgAAccho+fzhhx904YUX6rzzzlPXrl112WWX6cwzz9SsWbMa/WO7OfkEgDrZXZrr3vP7SZIem7FIP63YZjgRAACIN0bL5x/+8AfNnDlTS5YskSTNnj1b33//vc4555z9vr66ulqlpaW/eTsQz55nPnm+CQB2u+rYLro4s6N8/oCun1KgjSVVpiMBAIA4YrR83nXXXRo2bJj69OmjhIQEZWZm6qabblJOTs5+Xz927FilpaXVvaWnpx/wxw6O3ZZX+8KSHQCijWVZevTigerTLkVby726bkqBvLV+07EAAECcMFo+p0+frsmTJ2vKlCkqKCjQq6++qqeeekqvvvrqfl8/ZswYlZSU1L0VFxcf8Mdm7BYAfi/Jadek3GylJDqUv3qHHv14oelIAAAgTjhMfvHbb7+97vRTkgYOHKjVq1dr7Nixuvrqq3/3epfLJZfLVa8fO8XF2C0A7E/XVm49c0WGrv2/X/WvH1Yps3MzXZjR0XQsAAAQ44yefFZWVspm+20Eu90uv7/xY2BuyicAHNAZ/drqulO7S5LuemuuFm8sM5wIAADEOqPl84ILLtAjjzyijz76SKtWrdI777yjZ555RhdffHGjf2y3yy6JsVsAOJBbzuitE3q00q4an0bk5au0qsZ0JAAAEMOMls9x48bpsssu06hRo9S3b1/ddttt+utf/6qHHnqo0T92SiInnwBwMHabpReGZ6pDWqJWbq3QbdNnKxAImI4FAABilNHymZKSoueee06rV6/Wrl27tHz5cj388MNyOp2N/rHdrFoBgENq4XZqQm62nHabPluwSZO+WWE6EgAAiFFGy2c41T3zWUX5BICDyUhvpvv/2E+S9OSni/TDsq2GEwEAgFgUs+UzOHbLM58AcGhXHt1Zl2V3kj8g3fB6oTaU7DIdCQAAxJiYLZ91ez69Pvn9PMMEAAdjWZYevmiA+rVP1bYKr0bmFai61mc6FgAAiCExWz49rr0rTCu8nH4CwKEkJtg1KTdbqYkOFRXv1MMfLjQdCQAAxJCYLZ8uh00OmyVJqqjmu/cAUB+dWybruWEZkqTXflqttwvWmg0EAABiRsyWT8uy9l46xHOfAFBvp/VpqxtP7ylJ+ts7c7VgfanhRAAAIBbEbPmU9o7eUj4RT8aPH6+uXbsqMTFRxxxzjGbNmlWvz5s6daosy9JFF10U3oCICqNP76mTe7VWVY1fIyfnq2RXjelIAAAgysVF+eTGW8SLadOm6ZZbbtH999+vgoICDR48WGeddZY2b9580M9btWqVbrvtNp144olNlBSRzm6z9NzQDHVslqTV2yp16/QiLm8DAACNEtPl0+2yS5LK2PWJOPHMM8/o2muv1TXXXKN+/fpp0qRJSk5O1iuvvHLAz/H5fMrJydEDDzygbt26HfJrVFdXq7S09DdviE3N3U5Nys2W02HTFws3a8LXy0xHAgAAUSymy6cnMUESJ5+ID16vV/n5+RoyZEjdx2w2m4YMGaIff/zxgJ/34IMPqk2bNvrzn/9cr68zduxYpaWl1b2lp6c3Ojsi18BOaXrowv6SpKc/X6Jvl2wxnAgAAESr2C6fe04+WbWCeLB161b5fD61bdv2Nx9v27atNm7cuN/P+f777/XPf/5TL7/8cr2/zpgxY1RSUlL3Vlxc3KjciHxDj+qsYUelKxCQRk8t1NodlaYjAQCAKBTj5XP3M5+M3QK/V1ZWpquuukovv/yyWrVqVe/Pc7lcSk1N/c0bYt/f/9hfAzumaUdljUZNLlBVDSusAABAw8R0+XRz4RDiSKtWrWS327Vp06bffHzTpk1q167d716/fPlyrVq1ShdccIEcDoccDof+7//+T++//74cDoeWL1/eVNERBRIT7JqQk6VmyQmas7ZED3ywwHQkAAAQZWK6fHLbLeKJ0+lUdna2Zs6cWfcxv9+vmTNn6rjjjvvd6/v06aO5c+eqqKio7u2Pf/yjTj31VBUVFfEsJ34nvUWynh+WKcuSXp+1RtN/ZeQaAADUn8N0gHCqG7ulfCJO3HLLLbr66qt15JFH6uijj9Zzzz2niooKXXPNNZKkP/3pT+rYsaPGjh2rxMREDRgw4Def36xZM0n63ceBoJN7tdbNQ3rpmc+X6J5356lf+1QN6JhmOhYAAIgCMV0+GbtFvBk6dKi2bNmi++67Txs3blRGRoZmzJhRdwnRmjVrZLPF9MADmsD1p/ZQUfFOfblos0bk5evDG05Qs2Sn6VgAACDCWYFAIGq3hpeWliotLU0lJSX7vfTk3cJ1umlakY7v0VKT/9+xBhLudaisQLTi/+34VFJZowte/F5rtlfqlN6t9crVR8lms0zHAgAABtT374MxfQQSHLstr+ZWRgAIpbTkBE3MzZLLYdPXi7fohS+Xmo4EAAAiXEyXT8ZuASB8+ndI0yMXD5QkPT9zqb5avNlwIgAAEMliunymJO45+WTPJwCExWXZnZRzTGcFAtJNU4tUvL3SdCQAABChYrp8cvIJAOF33wX9NDi9mUp21Wjk5HxV1fCoAwAA+L0YL592SVK5t1ZRfK8SAEQ0l8OuCTlZauF2at66Ut377jx+zwUAAL8T0+UzxZUgSQoEpEov34kHgHDp2CxJLwzLlM2S3shfq6m/FJuOBAAAIkxMl8/EBJuCN/8zegsA4XVCz1a69czekqT735uv2cU7zQYCAAARJabLp2VZdc99llE+ASDsRp7cXWf0ayuvz69Rkwu0vcJrOhIAAIgQMV0+JSmFS4cAoMnYbJaevmKwurZM1rqduzR6aqF8fp7/BAAAcVA+gyef5ZRPAGgSqYkJmnRVthITbPpu6VY998US05EAAEAEiPny6WHXJwA0uT7tUvXYJYMkSeO+XKaZCzcZTgQAAEyL/fIZHLv1Uj4BoCldlNlRVx/XRZJ007Qird5WYTgRAAAwKebLp9sZHLtl1QoANLW7z+unrM7NVFZVqxF5BdrF2isAAOJWzJdPxm4BwBynw6bxOVlq5XFq4YZS3f3OXAUCXEAEAEA8iv3yyW23AGBU+7QkvTA8UzZLertwnfJ+XmM6EgAAMCDmy6fbZZfEbbcAYNIfurfSnWf3kSQ9+MF8Fa7ZYTgRAABoajFfPj2uBEmUTwAw7S8nddPZ/dupxhfQqMkF2lZebToSAABoQnFQPneffDJ2CwBmWZalJy8fpG6t3dpQUqUbXi9Urc9vOhYAAGgisV8+gxcOUT4BwLiUxARNys1WstOuH5Zv09OfLzEdCQAANJGYL597V61QPgEgEvRqm6LHLx0kSZr49XJ9On+j4UQAAKApxHz55LZbAIg8FwzuoP8+/ghJ0m3TZ2vl1grDiQAAQLjFfvlkzycARKQx5/bRUV2bq6y6ViNey1ell9+nAQCIZTFfPt0uxm4BIBIl2G0af2WWWqe4tHhTmca8PVeBQMB0LAAAECYxXz7rxm69Pv5SAwARpk1qosZfmSW7zdJ7Rev16g+rTEcCAABhEjfl0+cPqKqGK/0BINIcfUQLjTmnjyTp4Y8WKn/1dsOJAABAOMR8+Ux22mVZu99n9BYAItOfTzhC5w1qr1p/QKMmF2hLWbXpSAAAIMRivnxaliUP61YAIKJZlqUnLh2kHm082lRareunFKjWx7QKAACxJObLp7T30iHWrQBA5HK7HJqUmy23066fV27XE58uNh0JAACEUJyUT7skTj4BINL1aOPRk5cPliT9z7cr9MncDYYTAQCAUImL8ulJTJDErk8AiAbnDmyvv5zUTZJ02xuztWxzueFEAAAgFOKjfO45+axggTkARIU7zuqtY45ooQqvTyPy8nlsAgCAGBAX5dPNhUMAEFUcdptevDJLbVNdWra5XHe8NYddzQAARLm4KJ+exD3lk7FbAIgarVNcmpCTJYfN0kdzNuif3680HQkAADRCfJRPbrsFgKiU3aWF7jmvryRp7CeLNGvldsOJAADA4Yqr8llG+QSAqHP1H7rqwowO8vkDum5KgTaXVpmOBAAADkNclE/2fAJA9LIsS2MvGajebVO0paxa100pUI3PbzoWAABooLgon3vHbn2GkwAADkey06GJuVlKcTn0y6odGvvxItORAABAA8VV+WTsFgCiV7fWHj11xWBJ0iv/XqkPZq83nAgAADREXJRPxm4BIDac1b+dRp7SXZJ051tztHRTmeFEAACgvuKifHLbLQDEjlvP6KU/dG+pSq9Pf83LV1lVjelIAACgHuKjfO7Z81nGnk8AiHoOu00vDM9U+7RErdhSodvfmKNAIGA6FgAAOIT4KJ8uuySpwkv5BIBY0Mrj0oScLCXYLc2Yv1H/8+0K05EAAMAhxEn5TJAklVfV8t1xAIgRmZ2b674L+kuSHp+xSD8s32o4EQAAOJi4KJ/uPSeftf6AqmvZDQcAsSL3mM66JKuj/AHpxtcLtbGkynQkAABwAPFRPp2Ouve5dAgAYodlWXrkooHq0y5FW8u9GjU5X16+yQgAQESKi/Jps1lyO3effpZTPgEgpiQ57XrpqmylJDpUsGanHvlogelIAABgP+KifEp7d31SPgEg9nRp6dZzQzMkSa/+uFrvFq4zGwgAAPxO3JTPvbs+fYaTAADC4fS+bXXDaT0kSXe9PUeLNpYaTgQAAPYVP+UzMXjyyTJyAIhVNw3ppRN7tlJVjV8jXstXaRW/5wMAECnipnwGLx0q5+QTAGKW3Wbp+WGZ6tgsSau2VerW6bPl97NiCwCASBA/5TP4zGcVz3wCQCxr4XZqQk6WnHabPl+wSRO/WW46EgAAUByVz5TE4DOflE8AiHWD05vpgQv7S5Ke/myxvl+61XAiAAAQN+XT7WLVCgDEk2FHpeuKIzvJH5BunFqo9Tt3mY4EAEBci5vy6XElSKJ8AkC8sCxLD144QP07pGp7hVcjJxeoupbn/gEAMCWOyufuk0/GbgEgfiQm2DUpN1tpSQmaXbxTD36wwHQkAADiVtyUz7oLhyifABBX0lsk67lhGbIsafLPa/Rm/lrTkQAAiEtxUz49lE8AiFun9m6j0af3lCTd/c5czV9fYjgRAADxJ+7KJ2O3ABCfbjytp07p3VrVtX6NzCtQSWWN6UgAAMSVuCmfwbHbMvZ8AkBcstksPTc0Q52aJ2nN9krdPL1Ifn/AdCwAAOJG3JRPT3DPp5fyCQDxqlmyU5Nys+V02PTlos168atlpiMBABA34qd81o3dcs0+AMSzAR3T9PBFAyRJz36xRN8s2WI4EQAA8SHuymc5Y7cAEPeuODJdw4/urEBAGj21UMXbK01HAgAg5sVN+Qw+8+n1+eWt9RtOAwAw7f4L+mlQpzTtrKzRqMkFqqphMgYAgHCKn/LptNe9z423AIDEBLsm5GSpeXKC5q4r0d/fn286EgAAMS1uyqfDblNSwu4Cyq5PAIAkdWqerOeHZcqypKm/FGvaL2tMRwIAIGbFTfmU9o7eUj4BAEEn9WqtW8/oJUm69735mru2xHAiAABiU1yVT4+Lk08AwO+NOqWHhvRtI2+tXyMn52tHhdd0JAAAYk58lc9ETj4BAL9ns1l6+ooMdWmZrLU7dmn0tCL5/AHTsQAAiClxVT7dzuCuT8onAOC30pISNDEnW4kJNn27ZIuen7nUdCQAAGJKXJXPlER2fQIADqxfh1Q9ctFASdILM5fqy0WbDCcCACB2xFX55MIhAMChXJrdSVcd20WSdNPUIq3ZVmk4EQAAsSEuy2dFNYvEAQAHds/5fZWR3kylVbUakZevqhr+3AAAoLHiqnym1J181hhOAgCIZC6HXRNzs9TS7dSCDaW65915CgS4gAgAgMaIq/K5d+yW72ADAA6ufVqSxg3PlM2S3sxfq9dnFZuOBABAVIvT8skznwCAQ/tDj1a6/aw+kqS/vz9fs4t3mg0EAEAUi6vymeJi1QoAoGFGnNxNZ/ZrK6/Pr5F5+dpe4TUdCQCAqBRX5ZOTTwBAQ1mWpaeuGKwjWrm1vqRKN75eKJ+f5z8BAGiouCqfHvZ8AgAOQ2pigiblZispwa7vl23VM58vNh0JAICoE1/l02WXJFV4KZ8AgIbp3S5Fj106UJI0/qvl+nzBJsOJAACILnFVPt088wkAaIQLMzrqv/7QVZJ0y7QirdpaYTYQAABRJK7Kp2dP+Sxj7BYAcJj+dm5fZXdprrLqWo3Iy9cuL+u7AACoj7gsn9W1ftX4/IbTAACikdNh04ScLLXyuLRoY5n+9s5cBQJcQAQAwKHEVfkMjt1KjN4CAA5f29REvXhlpuw2S+8UrlPeT6tNRwIAIOLFVflMsNvkcuz+KbNuBQDQGMd2a6m7zu4jSXrwwwUqWLPDcCIAACJbXJVPae/obUU1z+gAABrn/514hM4d2E41voBG5RVoa3m16UgAAESs+CufwV2f1TWGkwAAop1lWXrissHq3tqtjaVVumFKoWq5UwAAgP2Ku/LpdgbLJyefAIDG87gceumqbCU77fpxxTY9+dli05EAAIhIcVc+Pez6BACEWI82KXriskGSpJe+WaEZ8zYYTgQAQOSJv/IZHLtl1ycAIITOH9RB/++EIyRJt70xR8u3lBtOBABAZIm78hlct8JttwCAULvznD46umsLlVfXamRePlM2AADsI+7Kp8dll0T5BACEXoLdphdzMtUmxaUlm8p119tzFQgETMcCACAixGH55JlPAED4tElJ1PicLDlslj6YvV7/+mGV6UgAAESEuCufjN0CAMLtqK4t9Ldz+0qSHvlooX5dtd1wIgAAzIu78umhfAIAmsA1x3fV+YPaq9Yf0KjJBdpcVmU6EgAARsVt+WTsFgAQTpZl6fFLB6lnG482l1Xr+imFqvH5TccCAMCYuCufjN0CAJqK2+XQpKuy5XE5NGvldj3+ySLTkQAAMCbuymfdnk/KJwCgCXRv7dFTlw+SJP3j+5X6aM4Gw4kAADAj/spn3ditz3ASAEC8OHtAe/315G6SpNvfnK1lm8sMJwIAoOnFXfl0O3eXz7IqTj4BAE3n9jN767huLVXp9emvr+UzgQMAiDtxVz5TErlwCADQ9Bx2m14Ynql2qYlavqVCd7w5W4FAwHQsAACaTNyVz+CFQ7tqfPL5+UMfANB0Wqe4ND4nSwl2Sx/P3ah/fr/SdCQAAJpMHJZPe937jDwBAJpadpfmuvf8fpKksZ8s0s8rthlOBABA04i78uly2OW07/5pM3oLADDhqmO76KKMDvL5A7puSqE2lVaZjgQAQNjFXfmU9p5+Uj4BACZYlqVHLxmoPu1StLW8WqMmF8hb6zcdCwCAsIrL8hnc9VlG+QQAGJLsdGhibrZSXA7lr96hRz9eaDoSAABhFZflM7huhZNPAIBJR7Ry6+krBkuS/vXDKr1XtM5wIgAAwicuy6dnz4235ez6BAAYdmb/drru1O6SpLvemqvFG8sMJwIAIDzis3zuGbvltlsAQCS45YzeOqFHK+2q8WlkXr5Kq2pMRwIAIOTisnwGd30ydgsAiAR2m6Xnh2WoQ1qiVmyt0O1vzFYgwC5qAEBsicvymeLi5BMAEFlaelyakJstp92mT+dv0kvfrjAdCQCAkIrL8umuK58+w0kAANgrI72Z7v9jP0nSEzMW6YdlWw0nAgAgdOK6fDJ2CwCINFce3VmXZnWSPyDd8HqhNpTsMh0JAICQiMvyydgtACBSWZalRy4eoH7tU7WtwquReQWqrmVSBwAQ/eKyfLopnwCACJaYYNek3GylJjpUVLxTD3+40HQkAAAaLU7Lp10Sez4BAJGrc8tkPTcsQ5L02k+r9XbBWrOBAABopLgsnyl79nxWeCmfAIDIdVqftrrx9J6SpL+9M1cLN5QaTgQAwOGLy/LpdjJ2CwCIDqNP76mTerVWVY1fI/LyVbKrxnQkAAAOS1yWT8+ek0/GbgEAkc5us/T80Ax1bJak1dsqdev0Ivn9AdOxAABosPgsn6xaAQBEkeZupyblZsvpsOmLhZs18ZvlpiMBANBgcVk+6/Z8en189xgAEBUGdkrTQxf2lyQ99dlifbd0i+FEAAA0TFyWz+DJp8SlQwCA6DH0qM4aemS6AgHpxtcLtW7nLtORAACot7gsny6HTQ6bJUmqqGZxNwAgejxwYX8N7JimHZU1GpmXr6oa/hwDAESHuCyflmXVjd6WV3NrIAAgeiQm2DUhJ0vNkhM0Z22JHvhggelIAADUS1yWT2nv6G05J58AgCiT3iJZzw3NkGVJr89ao+m/FpuOBADAIcV9+eTGWwBANDqldxvdPKSXJOned+dp3roSw4kAADi4+C2fe3Z9lrHrEwAQpa4/tYdO69NG1bV+jZycr52VXtORAAA4oLgtn25OPgEAUc5ms/TsFRnq3CJZxdt36eZpRawQAwBErLgtnx6XXRKrVgAA0S0tOUETc7Pkctj01eItGvflMtORAADYrzgun4zdAgBiQ/8OaXrk4oGSpOdmLtHXizcbTgQAwO/Fbflk7BYAEEsuy+6kK4/prEBAGj21SMXbK01HAgDgN+K2fO5dtUL5BADEhvsv6KfBndJUsqtGIyfnq6qGdWIAgMhB+aR8AgBihMth14TcbDVPTtC8daW67715piMBAFAnbssnY7cAgFjUsVmSxg3Pks2Spv+6VlNnrTEdCQAASXFcPlMSOfkEAMSmE3q20q1n9pYk3ffefM1Zu9NsIAAAFAHlc926dcrNzVXLli2VlJSkgQMH6tdffw3713U7g+WT52EAALFn5MndNaRvW3l9fo3MK9D2Cq/pSACAOGe0fO7YsUPHH3+8EhIS9Mknn2jBggV6+umn1bx587B/bcZuAQCxzGaz9PQVg9W1ZbLW7dyl0VML5fMHTMcCAMQxh8kv/vjjjys9PV3/+7//W/exI444okm+dt3YLXs+AQAxKi0pQRNzs3XxhH/ru6Vb9fwXS3TLnnFcAACamtGTz/fff19HHnmkLr/8crVp00aZmZl6+eWXD/j66upqlZaW/ubtcHHyCQCIB33bp2rsJQMlSS98uUwzF24ynAgAEK+Mls8VK1Zo4sSJ6tmzpz799FONHDlSN954o1599dX9vn7s2LFKS0ure0tPTz/sr+122SVJ5d5aBQKMIQEAYtfFmZ30p+O6SJJunlak1dsqDCcCAMQjo+XT7/crKytLjz76qDIzM/WXv/xF1157rSZNmrTf148ZM0YlJSV1b8XFxYf9tVNcCZKkQECq9HLpEAAgtt1zXj9ldm6m0qpajcgr0C7+7AMANDGj5bN9+/bq16/fbz7Wt29frVmz/51kLpdLqampv3k7XIkJNtms3e8zegsAiHVOh00TcrLU0u3Uwg2luvvduUz+AACalNHyefzxx2vx4sW/+diSJUvUpUuXsH9ty7Lk2fPcZxnlEwAQB9qnJWnclZmyWdLbBes0+ef9f7MXAIBwMFo+b775Zv3000969NFHtWzZMk2ZMkX/8z//o+uuu65Jvr6HS4cAAHHmD91b6c6z+0iSHvhgvgrX7DCcCAAQL4yWz6OOOkrvvPOOXn/9dQ0YMEAPPfSQnnvuOeXk5DTJ1w/eeFtO+QQAxJG/nNRNZ/dvpxpfQKMmF2hbebXpSACAOGB0z6cknX/++Tr//PONfG0Puz4BAHHIsiw9efkgLdlUphVbK3Tj1EL9338fI3vwMgQAAMLA6MmnaXVjt17KJwAgvqQkJmjSVdlKSrDr38u26enPFh/6kwAAaIS4Lp9uZ3DsluvmAQDxp1fbFD1+2SBJ0oSvl+uz+RsNJwIAxLK4Lp+M3SIWjR8/Xl27dlViYqKOOeYYzZo164Cvffvtt3XkkUeqWbNmcrvdysjI0GuvvdaEaQGY9sfBHXTN8V0lSbdOn62VWyvMBgIAxKz4Lp/cdosYM23aNN1yyy26//77VVBQoMGDB+uss87S5s2b9/v6Fi1a6O6779aPP/6oOXPm6JprrtE111yjTz/9tImTAzDpb+f21ZFdmqusulYjXstXJY+jAADCgPIpbrtF7HjmmWd07bXX6pprrlG/fv00adIkJScn65VXXtnv60855RRdfPHF6tu3r7p3767Ro0dr0KBB+v777w/4Naqrq1VaWvqbNwDRLcFu04ScLLXyuLR4U5nGvD1XgUDAdCwAQIyJ6/LJqhXEEq/Xq/z8fA0ZMqTuYzabTUOGDNGPP/54yM8PBAKaOXOmFi9erJNOOumArxs7dqzS0tLq3tLT00OSH4BZbVITNf7KTNltlt4rWq//+3G16UgAgBgT1+XT47JLYuwWsWHr1q3y+Xxq27btbz7etm1bbdx44EtESkpK5PF45HQ6dd5552ncuHE644wzDvj6MWPGqKSkpO6tuLg4ZD8HAGYd062lxpzTR5L00IcLlL96u+FEAIBYYnzPp0l1Fw5RPhHHUlJSVFRUpPLycs2cOVO33HKLunXrplNOOWW/r3e5XHK5XE0bEkCT+fMJR6hwzU59NHeDRk0u0Ic3nKjWKfyaBwA0XlyXz72rViifiH6tWrWS3W7Xpk2bfvPxTZs2qV27dgf8PJvNph49ekiSMjIytHDhQo0dO/aA5RNAbLMsS49fNkiLN5Vp2eZy3fB6gfL+fIwc9rgelgIAhEBc/0nCbbeIJU6nU9nZ2Zo5c2bdx/x+v2bOnKnjjjuu3j+O3+9XdXV1OCICiBIel0OTcrPldtr104rtevLTxaYjAQBiQHyXT/Z8Isbccsstevnll/Xqq69q4cKFGjlypCoqKnTNNddIkv70pz9pzJgxda8fO3asPv/8c61YsUILFy7U008/rddee025ubmmfgoAIkSPNh49eflgSdJL367QJ3M3GE4EAIh28T12y223iDFDhw7Vli1bdN9992njxo3KyMjQjBkz6i4hWrNmjWy2vd9zqqio0KhRo7R27VolJSWpT58+ysvL09ChQ039FABEkHMHtte1Jx6hl79bqdvfnKOebVPUo43HdCwAQJSyAlG8yKu0tFRpaWkqKSlRampqgz9/c2mVjn50pmyWtPzRc2VZVhhS7tbYrECk4v9tILbV+vzK+cfP+nnldvVo49F71x1f981bAACk+v99MK7HboN/ePoDUlWN33AaAAAij8Nu07grM9UmxaVlm8t1x1tzFMXftwYAGBTX5TPZaVfwsJPRWwAA9q9NSqIm5GTJYbP00ZwNeuXfq0xHAgBEobgun5ZlycO6FQAADunIri1093l9JUmPfrxQs1ZuN5wIABBt4rp8SntHb1m3AgDAwf3XH7rqj4M7yOcP6LopBdpcWmU6EgAgilA+XXZJnHwCAHAolmXpsUsHqnfbFG0pq9Z1UwpU4+POBABA/cR9+fQkJkhi1ycAAPWR7HRoYm6WUlwO/bJqhx77ZJHpSACAKEH53HPyWeGlfAIAUB/dWnv05OWDJUn//H6lPpyz3nAiAEA0oHzueeazjJNPAADq7ewB7TTi5O6SpDvenKOlm8oMJwIARLq4L59cOAQAwOG57cxe+kP3lqr0+vTXvHyVVdWYjgQAiGBxXz49lE8AAA6Lw27TC8Mz1S41USu2VOj2N+YoEAiYjgUAiFCUz+DYLeUTAIAGa+VxaUJulhLslmbM36iXv1thOhIAIELFfflk7BYAgMbJ6txc953fT5L02CeL9OPybYYTAQAiUdyXz71jtz7DSQAAiF65x3bRJZkd5Q9IN7xeoI0lVaYjAQAiDOWTsVsAABrNsiw9cvFA9WmXoq3lXo2anC9vrd90LABABIn78snYLQAAoZHktOulq7KVkuhQwZqdevTjhaYjAQAiSNyXz+DJZzl7PgEAaLQuLd169ooMSdK/flildwvXmQ0EAIgYlM/EPeWTk08AAEJiSL+2uv7UHpKkMW/P1aKNpYYTAQAiAeXTZZckVXgpnwAAhMrNZ/TSiT1baVeNTyNey1dpVY3pSAAAwyifrgRJu8duWYwNAEBo2G2Wnh+WqY7NkrRqW6VunT5bfj9/zgJAPIv78unec/JZ6w+omlv5AAAImRZupybkZMlpt+nzBZs06dvlpiMBAAyifDodde9z4y0AAKE1OL2Z/v7H/pKkpz5drH8v22o4EQDAlLgvnzabJbdz9+knlw4BABB6w49O1+XZneQPSDe8Xqj1O3eZjgQAMCDuy6e0d9cn5RMAgNCzLEsPXTRA/TukanuFVyMnF6i61mc6FgCgiVE+xa5PAADCLTHBrkm52UpLStDs4p166MMFpiMBAJoY5VN7d32ybgUAgPBJb5Gs54ZlyLKkvJ/W6K38taYjAQCaEOVTey8dKq9mBAgAgHA6tXcb3XhaT0nS396Zq/nrSwwnAgA0Fcqn9p58MnYLAED4jT69p07p3VrVtX6NzCtQSWWN6UgAgCZA+dTeZz5ZtQIAQPjZbJaeG5qhTs2TtGZ7pW6ZXiS/P2A6FgAgzCifktwuVq0AANCUmiU7NSk3W06HTTMXbdb4r5aZjgQACDPKpySPK0ES5RMAgKY0oGOaHr5wgCTpmS+W6JslWwwnAgCEE+VTkmfPySdjtwAANK0rjkrX8KPTFQhIo6cWqnh7pelIAIAwoXxKcu955rOM8gkAQJO7/4L+GtQpTTsrazRqcoGqarh9HgBiEeVTXDgEAIBJiQl2TcjJUrPkBM1dV6IHPphvOhIAIAwon6J8AgBgWqfmyXphWKYsS3p9VrGm/1JsOhIAIMQon9q757OMPZ8AABhzUq/WumVIL0nSPe/N07x1JYYTAQBCifKpvc98VngpnwAAmHTdqT10ep828tb6NSIvXzsrvaYjAQBChPKpfcduueAAAACTbDZLzwzNUOcWyVq7Y5dGTy2S3x8wHQsAEAKUT+0tn+WM3QIAYFxaUoIm5WbL5bDpmyVb9PzMpaYjAQBCgPKpvWO3Xp9f1bWcfgIAYFq/Dql69OKBkqTnZy7VV4s2G04EAGgsyqckt9Ne9z6jtwAARIZLszsp99jOkqTRUwu1Zlul4UQAgMagfEpy2G1KSthdQFm3AgBA5Lj3/H7KSG+m0qpajcjLV1UN3yQGgGhF+dwjOHpbTvkEACBiuBx2TcjJUgu3Uws2lOqed+cpEOACIgCIRpTPPVISKZ8AAESiDs2SNG54pmyW9Gb+Wr0+q9h0JADAYaB87uF27R67pXwCABB5ju/RSred1VuS9Pf352t28U6zgQAADUb53MPtDO76pHwCABCJRp7cXWf2ayuvz6+RefnaXuE1HQkA0ACUzz3qxm7Z9QkAQESyLEtPXTFYR7Rya31JlUZPLZTPz/OfABAtKJ97cOEQAACRLzUxQRNzs5SUYNd3S7fq2c+XmI4EAKgnyucelE8AAKJDn3apeuzSgZKkF79aps8XbDKcCABQH5TPPVJcPPMJAEC0uDCjo/7rD10lSbdML9KqrRVmAwEADonyucfek0+WVwMAEA3+dm5fZXdprrKqWo3Iy9cuL3+GA0Ako3zu4WHsFgCAqOJ02DT+yiy18ji1aGOZ/vbOXAUCXEAEAJGK8rmHh7FbAACiTru0RI0bniW7zdI7heuU99Nq05EAAAdA+dyDC4cAAIhOx3VvqTvP7i1JevDDBSpYs8NwIgDA/lA+9/Cw5xMAgKh17YnddM6AdqrxBTQqr0Bby6tNRwIA/AfK5x4el12SVOGlfAIAEG0sy9KTlw9Wt9ZubSyt0g1TClXr85uOBQDYB+Vzj7qxW04+AQCISh6XQy/lZivZadePK7bpqc+WmI4EANgH5XMPbrsFACD69WyboicuGyRJmvTNcs2Yt9FwIgBAEOVzj2D5rK71q4YxHQAAotb5gzrozyccIUm67Y3ZWrGl3HAiAIBE+awTHLuVWLcCAEC0u+ucPjq6awuVV9dqRF6+KrnTAQCMo3zukWC3yeXY/Z+D0VsAAKJbgt2mF6/MVOsUl5ZsKtddb81VIBAwHQsA4hrlcx/B0duKap/hJAAAoLHapCZqQk6WHDZL789er3/9sMp0JACIa5TPfdTt+qyuMZwEAACEwlFdW2jMuX0lSY98tFC/rtpuOBEAxC/K5z7czmD55OQTAIBY8d/Hd9X5g9qr1h/QqMkF2lxWZToSAMQlyuc+POz6BAAg5liWpccvHaSebTzaXFat66cUcrM9ABhA+dxHcOyW224BAIgtbpdDE3Oz5XE5NGvldj0xY5HpSAAQdyif+wiuW+G2WwAAYk+PNh49edkgSdLL363UR3M2GE4EAPGF8rkPD+UTAICYds7A9vrrSd0kSXe8OVvLNpcZTgQA8YPyuQ+Pyy6JsVsAAGLZ7Wf11rHdWqjC69NfX8vnm84A0EQon/tg7BYAgNjnsNs0bniW2qa6tHxLhe58c44CgYDpWAAQ8yif+2DsFgCA+NA6xaUJOdlKsFv6aO4G/fP7laYjAUDMo3zuI1g+GbsFACD2ZXdprnvO6ydJGvvJIv28YpvhRAAQ2yif+wiO3Zax5xMAgLjwp+O66KKMDvL5A7puSqE2lVaZjgQAMYvyuY+6PZ9eyicAAPHAsiw9eslA9W6boq3l1bpucoFqfH7TsQAgJlE+97F37NZnOAkAAGgqyU6HJl2VrRSXQ7+u3qFHP15oOhIAxCTK5z48jN0CABCXjmjl1tNXDJYk/e+/V+m9onWGEwFA7KF87oMLhwAAiF9n9m+nUad0lyTd9dZcLdlUZjgRAMQWyuc+ghcO7arxyedn3xcAAPHm1jN764QerbSrxqcRr+WrrKrGdCQAiBmUz324Xfa699n1CQBA/LHbLD0/LEMd0hK1YmuFbntjtgIBviENAKFA+dyHy2GX0777PwmjtwAAxKeWHpcm5GbLabfp0/mb9NK3K0xHAoCYQPn8D8HTT04+AQCIXxnpzXTfBf0kSU/MWKQflm01nAgAoh/l8z8Ed31SPgEAiG85x3TWpVmd5A9IN7xeqA0lu0xHAoCoRvn8D24nN94CAADJsiw9fNEA9W2fqm0VXo2aXCBvrd90LACIWpTP/5ASPPlk1ycAAHEvyWnXpNwspSY6VLhmpx7+aIHpSAAQtSif/yG4boWxWwAAIEldWrr17NAMSdL//bha7xSuNRsIAKIU5fM/BMsnY7cAACDo9L5tdeNpPSRJY96eq4UbSg0nAoDoQ/n8DymcfAIAgP0YPaSXTurVWlU1fo3Iy1fJrhrTkQAgqlA+/8PesVuf4SQAACCS2G2Wnh+aoY7NkrR6W6VunV4kvz9gOhYARA3K53/YWz75biYAAPit5m6nJuZmyemw6YuFmzXxm+WmIwFA1KB8/oeUumc+OfkEAAC/N6hTMz34x/6SpKc/W6zvlm4xnAgAokODy+fVV1+tb7/9NhxZIgK33QIAgEMZdnRnDT0yXf6AdOPrhVq3c5fpSAAQ8RpcPktKSjRkyBD17NlTjz76qNatWxeOXMZ42POJJnbaaafpgQce+N3Hd+zYodNOO81AIgBAfTxwYX8N6JiqHZU1GpWXr+papqYA4GAaXD7fffddrVu3TiNHjtS0adPUtWtXnXPOOXrzzTdVUxP9z0l6XHZJUoWX8omm8fXXX+vFF1/URRddpIqKirqPe71effPNNwaTAQAOJjHBrok52WqWnKDZa0v0wAcLTEcCgIh2WM98tm7dWrfccotmz56tn3/+WT169NBVV12lDh066Oabb9bSpUtDnbPJuJ2M3aLpffHFF9q4caOOPfZYrVq1ynQcAEA9pbdI1nNDM2RZ0pSf1+iNX4tNRwKAiNWoC4c2bNigzz//XJ9//rnsdrvOPfdczZ07V/369dOzzz4bqoxNirFbmNC+fXt98803GjhwoI466ih9/fXXpiMBAOrplN5tdNPpvSRJ97w7T/PWlRhOBACRqcHls6amRm+99ZbOP/98denSRW+88YZuuukmrV+/Xq+++qq++OILTZ8+XQ8++GA48oadp+62W8onmoZlWZIkl8ulKVOmaPTo0Tr77LM1YcIEw8kAAPV1w2k9dGrv1qqu9Wvk5HyVVEb/o0gAEGqOhn5C+/bt5ff7NXz4cM2aNUsZGRm/e82pp56qZs2ahSBe0wvedlvh9cnvD8hmswwnQqwLBH67oPyee+5R3759dfXVVxtKBABoKJvN0nNDM3X+i9+pePsu3TStUP+8+ij+HgEA+2jwyeezzz6r9evXa/z48fstnpLUrFkzrVy5srHZjAiefEpcOoSmsXLlSrVu3fo3H7v00kv1888/65VXXjGUCgDQUGnJCZqYky2Xw6avFm/RuC+XmY4EABGlweXzqquuUmJiYjiyRASXwybHnu9SVlRzZTrCr0uXLnWjt/vq378/p58AEGUGdEzTwxcNkCQ9N3OJvl682XAiAIgcjbpwKBZZlrX30qFqntcAAAANc/mR6brymM4KBKTRU4tUvL3SdCQAiAiUz/3Yu26Fk08AANBw91/QT4M7palkV41GTs5XVQ1/pwAAyud+cOMtAABoDJfDrgm52WqenKB560p1/3vzTUcCAOMon/sRHLstY9cnAAA4TB2bJemF4ZmyLGnar8WaOmuN6UgAYBTlcz/cnHwCAIAQOLFna912Zm9J0n3vz9ectTvNBgIAgyif++Fx2SWxagUAADTeyJO7a0jftvLW+jUyr0A7KrymIwGAEZTP/Qg+88nYLQAAaCybzdLTVwxWl5bJWrdzl0ZPK5LPHzAdCwCaHOVzPxi7BQAAoZSWlKBJudlKTLDp2yVb9PwXS0xHAoAmR/ncjxRXcNUK5RMAAIRG3/apGnvJQEnSC18u08yFmwwnAoCmRfncDzflEwAAhMHFmZ30p+O6SJJunlakNdsqDScCgKZD+dwPxm4BAEC43HNeP2V2bqbSqlr9NS9fu7w+05EAoElQPvcjJZGTTwAAEB5Oh00TcrLU0u3Uwg2luvvduQoEuIAIQOyjfO6H2xksn3wnEgAAhF77tCSNG54pmyW9XbBOk39eYzoSAIQd5XM/GLsFAADh9ocerXTH2X0kSQ98MF+Fa3YYTgQA4UX53I+6sVv2fAIAgDD660nddFb/tqrxBTRqcoG2lVebjgQAYUP53A9OPgEAQFOwLEtPXT5Y3Vq5taGkSjdOLZTPz/OfAGIT5XM/PMFVK95aLgAAAABhlZKYoElXZSspwa5/L9umpz9bbDoSAIQF5XM/guUzEJAquf4cAACEWa+2KXr8skGSpAlfL9dn8zcaTgQAoUf53I/EBJts1u73Gb0FAABN4Y+DO+ia47tKkm6dPlsrt1aYDQQAIUb53A/LsupOP8sonwAAoIn87dy+OrJLc5VV12pkXr4qvfw9BEDsoHwegIdLhwAAQBNLsNs0PidLrTwuLdpYpjFvz+X+CQAxg/J5AMEbb8spnwAAoAm1TU3U+CszZbdZeq9ovf7vx9WmIwFASFA+D8DDrk8AAGDIMd1aasw5fSRJD324QPmrtxtOBACNR/k8gLqxW561AAAABvz5hCN03sD2qvUHNGpygbaUVZuOBACNQvk8gLpdn5x8AgAAAyzL0uOXDVL31m5tKq3WDa8XqNbnNx0LAA4b5fMA9j7zyZ5PAABghsfl0EtXZcvttOunFdv15KeLTUcCgMNG+TwAbrsFAACRoEebFD15+WBJ0kvfrtAnczcYTgQAh4fyeQAebrsFAAAR4tyB7XXtiUdIkm5/c46Wbyk3nAgAGo7yeQCsWgEAAJHkzrP76OgjWqi8ulYjXstnOgtA1KF8HoDHZZfE2C0AAIgMDrtNL16ZqTYpLi3dXK4735qjQCBgOhYA1Bvl8wDq9nxSPgEAQIRok5KoCTlZctgsfThng1759yrTkQCg3iifB+B2Uj4BAEDkObJrC919Xl9J0tiPF2rWyu2GEwFA/VA+D4A9nwAAIFL91x+66o+DO6jWH9B1Uwq0ubTKdCQAOCTK5wEEx2555hMAAEQay7L02KUD1autR1vKqnX9lELV+PymYwHAQVE+D4DbbgEAQCRLdjo0KTdbHpdDs1Zt12OfLDIdCQAOivJ5ACn7lE9ukgMAAJGoW2uPnrp8sCTpn9+v1Idz1htOBAAHRvk8gODJpz8gVdUwxgIAACLT2QPaacTJ3SVJd7w5R0s3lRlOBAD7R/k8gGSnXZa1+31GbwEAQCS77cxeOq5bS1V6ffprXr7KqmpMRwKA36F8HoBlWfKwbgUAAEQBh92mcVdmql1qolZsqdAdb87hsSEAEYfyeRDB0VtuvAUAAJGulcelCblZSrBb+mTeRr383QrTkQDgNyifB+F22SVJZez6BAAAUSCrc3Pdd34/SdLjMxbrx+XbDCcCgL0ipnw+9thjsixLN910k+kodTyJCZI4+QQAANEj99guuiSzo3z+gG54vUAbS6pMRwIASRFSPn/55Re99NJLGjRokOkov+HZc/JZ4aV8AgCA6GBZlh65eKD6tEvR1nKvrptSIG8tN/cDMM94+SwvL1dOTo5efvllNW/e/KCvra6uVmlp6W/ewsmz55lPxm4BAEA0SXLaNSk3WymJDuWv3qFHP15oOhIAmC+f1113nc477zwNGTLkkK8dO3as0tLS6t7S09PDmo0LhwAAQLTq2sqtZ6/IkCT964dVeq9ondlAAOKe0fI5depUFRQUaOzYsfV6/ZgxY1RSUlL3VlxcHNZ8HsonAACIYkP6tdX1p/aQJN311lwt3lhmOBGAeGasfBYXF2v06NGaPHmyEhMT6/U5LpdLqampv3kLp7qxW8onAACIUjef0Usn9mylXTU+jcjLV2lVjelIAOKUsfKZn5+vzZs3KysrSw6HQw6HQ998841eeOEFORwO+Xw+U9HqMHYLAACind1m6flhmerYLEkrt1bo1umz5fcHTMcCEIeMlc/TTz9dc+fOVVFRUd3bkUceqZycHBUVFclut5uKVid48llO+QQAAFGshdupCTlZctpt+nzBJk36drnpSADikLHymZKSogEDBvzmze12q2XLlhowYICpWL+xt3yaP4UF6mv8+PHq2rWrEhMTdcwxx2jWrFkHfO3LL7+sE088Uc2bN1fz5s01ZMiQg74eABC9Bqc309//2F+S9NSni/XvZVsNJwIQb4zfdhvJGLtFtJk2bZpuueUW3X///SooKNDgwYN11llnafPmzft9/ddff63hw4frq6++0o8//qj09HSdeeaZWreOGxEBIBYNPzpdl2d3kj8g3fB6odbv3GU6EoA4YgUCgagd+i8tLVVaWppKSkrCcvnQv5dtVc4/flbvtin69OaTGvVjhTsrIEnHHHOMjjrqKL344ouSJL/fr/T0dN1www266667Dvn5Pp9PzZs314svvqg//elP+31NdXW1qqur6/65tLRU6enp/L8NAFGiqsanSyf+oPnrS5WR3kzT/nqsXA7zjzsBiF717TqcfB6Em2c+EUW8Xq/y8/N/szPXZrNpyJAh+vHHH+v1Y1RWVqqmpkYtWrQ44Guaet8uACC0EhPsmpiTrbSkBBUV79RDHy4wHQlAnKB8HoTHtfu7gBVeyici39atW+Xz+dS2bdvffLxt27bauHFjvX6MO++8Ux06dPhNgf1PTb1vFwAQep1bJuu5oRmyLCnvpzV6K3+t6UgA4gDl8yA8rgRJUnlVraJ4Ohmol8cee0xTp07VO++8c9Ddu029bxcAEB6n9mmjG0/rKUn62ztztWB9qeFEAGId5fMg3HtOPmv9AVXX+g2nAQ6uVatWstvt2rRp028+vmnTJrVr1+6gn/vUU0/pscce02effaZBgwaFMyYAIIKMPr2nTu7VWtW1fo3Iy1dJZY3pSABiGOXzINxOR937PPeJSOd0OpWdna2ZM2fWfczv92vmzJk67rjjDvh5TzzxhB566CHNmDFDRx55ZFNEBQBECJvN0vPDMtSpeZLWbK/ULdOL5Pcz7QUgPCifB2GzWXI79zz3SflEFLjlllv08ssv69VXX9XChQs1cuRIVVRU6JprrpEk/elPf9KYMWPqXv/444/r3nvv1SuvvKKuXbtq48aN2rhxo8rLy039FAAATaxZslOTcrPldNg0c9Fmjf9qmelIAGIU5fMQuPEW0WTo0KF66qmndN999ykjI0NFRUWaMWNG3SVEa9as0YYNG+peP3HiRHm9Xl122WVq37593dtTTz1l6qcAADBgQMc0PXzhAEnSM18s0bdLthhOBCAWOQ79kvjmSXRoc1m1yqson4gO119/va6//vr9/ruvv/76N/+8atWq8AcCAESFK45KV2HxDr0+q1g3Ti3UhzecoE7Nk03HAhBDOPk8BM+ek0/WrQAAgFh3/wX9NbBjmnZW1mjU5AJV1fhMRwIQQyifhxC8dKi8mt98AQBAbEtMsGtibpaaJSdoztoSPfDBfNORAMQQyucheBL3lE/GbgEAQBzo1DxZLwzLlGVJr88q1vRfik1HAhAjKJ+HUDd2y4VDAAAgTpzUq7VuGdJLknTPe/M0b12J4UQAYgHl8xDcrt2rVsoonwAAII5cd2oPnd6njby1fo3Iy9fOSq/pSACiHOXzEDyuBEmcfAIAgPhis1l65ooMdW6RrLU7dmn01CL5/QHTsQBEMcrnIXj2nHxSPgEAQLxJS07QxNwsuRw2fbNki56fudR0JABRjPJ5CMFnPhm7BQAA8ah/hzQ9evFASdILXy7VV4s2G04EIFpRPg/BzYVDAAAgzl2a3Um5x3ZWICDdNK1IxdsrTUcCEIUon4fAbbcAAADSvef30+D0ZirZVaMRefmqqmEHOoCGoXweQnDPZxl7PgEAQBxzOeyamJOlFm6n5q8v1b3vzlMgwAVEAOqP8nkIdWO3XsonAACIbx2aJWnc8EzZLOmN/LWa+kux6UgAogjl8xCCY7flnHwCAADo+B6tdNtZvSVJ9783X7OLd5oNBCBqUD4PYe8znzzXAAAAIEkjT+6uM/q1ldfn16jJBdpe4TUdCUAUoHweQnDs1uvzq7qWAgoAAGBZlp6+YrC6tkzWup27NHpqoXx+nv8EcHCUz0MInnxKnH4CAAAEpSYmaNJV2UpMsOm7pVv17OdLTEcCEOEon4dgt1lKSrBLYt0KAADAvvq0S9VjlwySJL341TJ9sWCT4UQAIhnlsx6Co7fllE8AAIDfuCizo/7rD10lSTdPL9KqrRVmAwGIWJTPekhJpHwCAAAcyN/O7auszs1UVlWrEXn52uXlUSUAv0f5rAe3a/fYLeUTAADg95wOmybkZKuVx6lFG8t09ztzFQhwARGA36J81oPbya5PAACAg2mXlqhxw7Nkt1l6u3Cd8n5eYzoSgAhD+ayH4NgtFw4BAAAc2HHdW+rOs3tLkh78YL4K1uwwnAhAJKF81gMXDgEAANTPtSd20zkD2qnGF9B1kwu0tbzadCQAEYLyWQ8eyicAAEC9WJalJy4bpG6t3dpQUqUbphSq1uc3HQtABKB81kOwfDJ2CwAAcGgpiQl6KTdbyU67flyxTU99tsR0JAARgPJZD3vHbrk2HAAAoD56tk3R45cOkiRN+ma5ZszbaDgRANMon/XA2C0AAEDDXTC4g/77+CMkSbe9MVsrtpQbTgTAJMpnPTB2CwAAcHjGnNtHR3VtrvLqWo3Iy1ell79PAfGK8lkPdWO37PkEAABokAS7TeOvzFLrFJeWbCrXXW/NVSAQMB0LgAGUz3rwJDJ2CwAAcLjapCZq/JVZstssvT97vV79YZXpSAAMoHzWg8dllyRVMCYCAABwWI4+ooX+dm5fSdLDHy3Ur6u2G04EoKlRPuvB40qQxNgtAABAY/z38V11/qD2qvUHdN2UAm0uqzIdCUATonzWg3vPySdjtwAAAIfPsiw9fukg9Wjj0abSal0/pVA1Pr/pWACaCOWzHoK33VbX+vkNEgAAoBHcLocm5WbL7bRr1srtemLGItORADQRymc9BG+7lVi3AgAA0Fg92nj01OWDJUkvf7dSH8/dYDgRgKZA+ayHBLtNLsfu/1SM3gIAADTeOQPb6y8ndZMk3f7GbC3bXGY4EYBwo3zWU3D0lvIJAAAQGnec1VvHdmuhCq9PI/IK+HsWEOMon/UU3PXJ2C0AAEBoOOw2jRuepbapLi3bXK4735yjQCBgOhaAMKF81pPbGTz59BlOAgAAEDtap7g0ISdLDpulj+Zu0D+/X2k6EoAwoXzWU/Dkk12fAAAAoZXdpYXuPb+fJGnsJ4v084pthhMBCAfKZz0Fn/lk7BYAACD0/nRcF12Y0UE+f0DXv16ozaVVpiMBCDHKZz25uXAIAAAgbCzL0thLBqp32xRtKavWqMkF7FcHYgzls5647RYAACC8kp0OTboqWykuh35dvUOPfrzQdCQAIUT5rCePyy6JsVsAAIBwOqKVW09fMViS9L//XqX3Z683nAhAqFA+6yk4dltG+QQAAAirM/u308hTukuS7nxzjpZsKjOcCEAoUD7riQuHAAAAms6tZ/TS8T1aaleNTyNey1dZVY3pSAAaifJZT5RPAACApuOw2/TCsEy1T0vUiq0Vuv2NOQoEAqZjAWgEymc9Bfd8lrHnEwAAoEm09Lg0ISdLCXZLM+Zv1P98u8J0JACNQPmsp+AznxVeyicAAEBTyezcXPdf0F+S9PiMRfph+VbDiQAcLspnPe0du/UZTgIAABBfco7prEuyOsofkG6YUqgNJbtMRwJwGCif9RQsn4zdAgAANC3LsvTIRQPVt32qtlV4NWpygby1ftOxADQQ5bOeuHAIAADAnCSnXZNys5SS6FDhmp165KMFpiMBaCDKZz0Fn/ncVeNTrY/vtAEAADS1Li3dem5ohiTp1R9X653CtWYDAWgQymc9uV32uvcrvDz3CQAAYMLpfdvqhtN6SJLGvD1XCzeUGk4EoL4on/XkctjltO/+z8XoLQAAgDk3DemlE3u2UlWNXyPz8lWyq8Z0JAD1QPlsgOCuz3LKJwAAgDF2m6UXhmWqY7MkrdpWqVunz5bfHzAdC8AhUD4bIDh6S/kEAAAwq7nbqYm5WXLabfpi4SZN/Ga56UgADoHy2QBuJzfeAgAARIpBnZrpwQv7S5Ke/myxvl+61XAiAAdD+WyAlODYLbs+AQAAIsKwozvriiM7yR+QbpxaqHU7d5mOBOAAKJ8NEFy3wtgtAABA5HjwwgEa0DFV2yu8GpWXr+paNhMAkYjy2QDB8snYLQAAQORITLBrYk620pISNHttiR78YIHpSAD2g/LZACmcfAIAAESk9BbJem5YhixLmvzzGr3xa7HpSAD+A+WzAfaO3TLKAQAAEGlO7d1Go0/vKUm65915mr++xHAiAPuifDaAp658ssgYAAAgEt14Wk+d2ru1qmv9GpGXr5JK/t4GRArKZwN46p755OQTAAAgEtlslp4dmqH0Fkkq3r5LN00rlN8fMB0LgCifDcJttwAAAJGvWbJTE3Oy5XLY9NXiLXrxq2WmIwEQ5bNBPOz5BAAAiAoDOqbp4YsGSJKe/WKJvl682XAiAJTPBvC47JKkCi/lEwAAINJdfmS6hh/dWYGAdNO0IhVvrzQdCYhrlM8GcDsZuwUAAIgmf/9jPw3ulKadlTUaNblAVTXc3QGYQvlsAMZuAQAAoovLYdeE3Gw1T07Q3HUl+vv7801HAuIW5bMB9t52S/kEAACIFh2bJemF4ZmyLGnqL8WaOmuN6UhAXKJ8NkBd+fT6uLIbAAAgipzYs7VuPaOXJOm+9+dr7toSw4mA+EP5bIDgqhWJS4cAAACizahTemhI3zby1vo1Ii9fOyq8piMBcYXy2QAuh00OmyVJqqjmYXUAAIBoYrNZevqKDHVpmax1O3dp9LQi+ZhmA5oM5bMBLMvae+lQdY3hNAAAAGiotKQETcrNVmKCTd8u2aLnZy41HQmIG5TPBtq7boWTTwAAgGjUt32qxl4yUJL0wsyl+nLRJsOJgPhA+WwgbrwFAACIfhdndtJVx3aRJN00tUhrtlUaTgTEPspnAwXHbsvY9QkAABDV7j2/nzI7N1NpVa1G5OWrqobJNiCcKJ8N5ObkEwAAICY4HTZNyMlSS7dTCzaU6u535ikQ4AIiIFwonw2U4go+80n5BAAAiHbt05I0bnimbJb0VsFaTZm1xnQkIGZRPhvI7bJLonwCAADEij/0aKXbz+ojSXrg/QUqKt5pNhAQoyifDcTYLQAAQOwZcXI3ndW/rbw+v0bl5WtbebXpSEDMoXw2EGO3AAAAsceyLD15+WB1a+XW+pIqjZ5aJJ+f5z+BUKJ8NpCb8gkAABCTUhMTNOmqbCUl2PX9sq165vPFpiMBMYXy2UCM3QIAAMSuXm1T9NilAyVJ479ars/mbzScCIgdlM8GSknk5BMAACCWXZjRUf/1h66SpFunz9bKrRVmAwExgvLZQG5nsHyyhBgAACBW/e3cvjqyS3OVVddqZF6+Kr0cPACNRflsIE/w5LOqxnASAAAAhIvTYdP4nCy18ri0aGOZ7n5nngIBLiACGoPy2UCeumc+OfkEAACIZW1TE/XilZmy2yy9U7hOr/202nQkIKpRPhuIC4cAAADix7HdWuqus/tIkh76cIHyV+8wnAiIXpTPBgqefJZ7axm9AAAAiAP/78QjdO7AdqrxBTRqcr62lFWbjgREJcpnAwXLZyAgVXoZvQUAAIh1lmXpicsGq3trtzaVVuuG1wtU6/ObjgVEHcpnAyUm2GSzdr/P6C0AAEB88LgceumqbLmddv20Yrue/Gyx6UhA1KF8NpBlWXWnn2WUTwAAgLjRo02KnrhssCTppW9WaMa8DYYTAdGF8nkYPFw6BAAAEJfOG9Re/++EIyRJt70xR8u3lBtOBEQPyudhCN54W15F+QQAAIg3d57TR0cf0ULl1bUa8Vo+BxJAPVE+D4MncU/55DcaAACAuJNgt+nFKzPVJsWlpZvLdedbc9iCANQD5fMw1I3deimfAAAA8ahNSqLG52TJYbP04ZwN+t9/rzIdCYh4lM/D4GHsFgAAIO4d1bWF/nZuX0nSox8v1C+rthtOBEQ2yudhqHvms5o9nwAAAPHsmuO76oLBHVTrD2jU5AJtLq0yHQmIWJTPw8BttwAAAJB2r+F77JKB6tXWoy1l1bp+SqFqfH7TsYCIRPk8DHVjt5RPAACAuOd2OTQpN1sel0OzVm3X458sMh0JiEiUz8PgpnwCAABgH91ae/TU5YMlSf/4fqU+nLPecCIg8lA+D4PHZZfEhUMAAADY6+wB7fTXk7tJku54c46WbS4znAiILJTPwxDc88mqFQAAAOzr9jN767huLVXp9emvr+UzKQfsg/J5GNxOxm4BAADwew67TeOuzFS71EQt31KhO96crUAgYDoWEBEon4chePLJ2C0AAAD+UyuPS+NzspRgt/Tx3I36x3crTUcCIgLl8zCwagUAAAAHk92lue49v58k6bEZi/TTim2GEwHmUT4PA7fdAgAA4FCuOraLLs7sKJ8/oOunFGhjSZXpSIBRlM/DkLJP+WSGHwAAAPtjWZYevXig+rRL0dZyr66bUiBvrd90LMAYyudhCJ58+gNSVQ2/gQAAAGD/kpx2TcrNVkqiQ/mrd+jRjxeajgQYQ/k8DMlOuyxr9/tl1TVmwwAAACCidW3l1jNXZEiS/vXDKr1XtM5sIMAQyudhsCxLHmfw0iGf4TQAAACIdGf0a6vrTu0uSbrrrblavLHMcCKg6VE+D5ObG28BAADQALec0Vsn9GilXTU+jcjLV2kVE3SIL5TPwxTc9VnGrk8AAADUg91m6YXhmeqQlqiVWyt02/TZXF6JuEL5PEycfAIAAKChWridmpCbLafdps8WbNKkb1aYjgQ0GcrnYfK47JKkCi/lEwAAAPWXkd5M9/+xnyTpyU8X6d/LthpOBDQNyudh8rgYuwUAAMDhufLozrosu5P8AenG1wu1fucu05GAsKN8HibGbgEAAHC4LMvSwxcNUL/2qdpW4dWoyQWqrmWLAmIb5fMwBU8+yymfAAAAOAyJCXZNys1WaqJDRcU79fCHC01HAsKK8nmYKJ8AAABorM4tk/X8sExJ0ms/rdbbBWsNJwLCh/J5mBi7BQAAQCic2qeNbjy9pyTpb+/M1YL1pYYTAeFB+TxMKYmcfAIAACA0Rp/eUyf3aq2qGr9GTs5Xya4a05GAkKN8Hia3M1g+eTAcAAAAjWO3WXpuaIY6NkvS6m2VunV6kfz+gOlYQEhRPg8TY7cAAAAIpeZupyblZsvpsOmLhZs14etlpiMBIUX5PEx1Y7fs+QQAAECIDOyUpocu7C9JevrzJfp2yRbDiYDQoXweJje33QIAACAMhh7VWcOOSlcgII2eWqi1OypNRwJCgvJ5mDwuuyTKJwAAAELv73/sr4Ed07SjskajJheoqoZ7RhD9KJ+HyeNKkLT7mc9AgIfBAQAAEDqJCXZNzM1Ss+QEzVlbogc+WGA6EtBolM/D5N5z8lnrD6i61m84DQAAAGJNp+bJen5YpixLen3WGk3/tdh0JKBRKJ+HKbhqRWL0FgAAAOFxcq/WunlIL0nSPe/O07x1JYYTAYeP8nmYbDZLbufu00/WrQAAACBcrj+1h07r00beWr9G5OVrZ6XXdCTgsFA+G4EbbwEAABBuNpulZ6/IUOcWyVq7Y5dumlYkv587RxB9KJ+N4GHXJwAAAJpAWnKCJuZmyeWw6evFW/TCl0tNRwIajPLZCJ49J58VXsonAAAAwqt/hzQ9cvFASdLzM5fqq8WbDScCGoby2QjBS4fKOPkEAABAE7gsu5NyjumsQEC6aWqRirdXmo4E1BvlsxGCY7cV1Sz9BQAAQNO474J+GpzeTCW7ajQiL19VNfxdFNGB8tkIdWO3XDgEAACAJuJy2DUxJ0st3E7NX1+qe9+dp0CAC4gQ+SifjRAsn2WUTwAAADShDs2SNG54pmyW9Eb+Wk39pdh0JOCQKJ+N4ObkEwAAAIYc36OVbj2ztyTp/vfma3bxTrOBgEOgfDaCx2WXRPkEAACAGSNP7q4z+rWV1+fXqMkF2l7hNR0JOCDKZyMwdgsAAACTbDZLT18xWF1bJmvdzl0aPbVQPj/PfyIyUT4bgbFbAAAAmJaamKBJV2UrMcGm75Zu1XNfLDEdCdgvo+Vz7NixOuqoo5SSkqI2bdrooosu0uLFi01GapDgyWc5ez4BAABgUJ92qXrskkGSpHFfLtMXCzYZTgT8ntHy+c033+i6667TTz/9pM8//1w1NTU688wzVVFRYTJWvQX3fJZz8gkAAADDLsrsqKuP6yJJunl6kVZtjY6/UyN+OEx+8RkzZvzmn//1r3+pTZs2ys/P10knnfS711dXV6u6urrun0tLS8Oe8WDqxm69lE8AAACYd/d5/TR3XYkK1uzUiLx8vTPqeCU57aZjAZIi7JnPkpISSVKLFi32++/Hjh2rtLS0urf09PSmjPc7KYzdAgAAIII4HTZNyMlWK49TizaW6e535ioQ4AIiRIaIKZ9+v1833XSTjj/+eA0YMGC/rxkzZoxKSkrq3oqLzS7T3XvhkM9oDmBf48ePV9euXZWYmKhjjjlGs2bNOuBr58+fr0svvVRdu3aVZVl67rnnmi4oAAAIi3ZpiRo3PEt2m6W3C9cp7+c1piMBkiKofF533XWaN2+epk6desDXuFwupaam/ubNpGD59Pr8qq6lgMK8adOm6ZZbbtH999+vgoICDR48WGeddZY2b96839dXVlaqW7dueuyxx9SuXbsmTgsAAMLluO4tdcdZvSVJD34wX4VrdhhOBERI+bz++uv14Ycf6quvvlKnTp1Mx6m34G23EqefiAzPPPOMrr32Wl1zzTXq16+fJk2apOTkZL3yyiv7ff1RRx2lJ598UsOGDZPL5arX16iurlZpaelv3gAAQOT5y0nddHb/dqrxBTRqcoG2lVcf+pOAMDJaPgOBgK6//nq98847+vLLL3XEEUeYjNNgdpulpITdD3Cz6xOmeb1e5efna8iQIXUfs9lsGjJkiH788ceQfZ1Ie/YaAADsn2VZevLyQerW2q0NJVW64fVC1fr8pmMhjhktn9ddd53y8vI0ZcoUpaSkaOPGjdq4caN27dplMlaDBEdvy7h0CIZt3bpVPp9Pbdu2/c3H27Ztq40bN4bs60Tas9cAAODAUhITNCk3W8lOu35Yvk1Pf77EdCTEMaPlc+LEiSopKdEpp5yi9u3b171NmzbNZKwGSUlk3QriS6Q9ew0AAA6uV9sUPX7pIEnSxK+X69P5ofumNNAQRvd8xsK1z27X7rHbcsZuYVirVq1kt9u1adOm33x806ZNXCYEAECcu2BwBxWu2alX/r1St02frZ7Xe9Sttcd0LMSZiLhwKJp52PWJCOF0OpWdna2ZM2fWfczv92vmzJk67rjjDCYDAACRYMy5fXRU1+Yqq67VyLwCVTK5hyZG+WwkT92uT37xwrxbbrlFL7/8sl599VUtXLhQI0eOVEVFha655hpJ0p/+9CeNGTOm7vVer1dFRUUqKiqS1+vVunXrVFRUpGXLlpn6KQAAgDBJsNs0/sostU5xafGmMo15e25MTCIiehgdu40FwQuHGLtFJBg6dKi2bNmi++67Txs3blRGRoZmzJhRdwnRmjVrZLPt/Z7T+vXrlZmZWffPTz31lJ566imdfPLJ+vrrr5s6PgAACLM2qYkaf2WWhr/8k94rWq/M9Gb6r+Oja+MEohfls5E8lE9EmOuvv17XX3/9fv/dfxbKrl278h1PAADizNFHtNCYc/ro4Y8W6uGPFmpgpzRld2lhOhbiAGO3jcTYLQAAAKLNn084QucNaq9af0CjJhdoS1m16UiIA5TPRmLsFgAAANHGsiw9cekg9Wjj0abSal0/pUC1Pr/pWIhxlM9G2jt26zOcBAAAAKg/t8uhSbnZcjvt+nnldj3x6WLTkRDjKJ+NxNgtAAAAolWPNh49eflgSdL/fLtCH8/dYDgRYhnls5E8iez5BAAAQPQ6d2B7/eWkbpKk29+YrWWbyw0nQqyifDYSz3wCAAAg2t1xVm8d262FKrw+jcjLZ6oPYUH5bCSPyy5JqvDyCxQAAADRyWG3adzwLLVNdWnZ5nLd8dYc1rEh5CifjeRxJUhi7BYAAADRrXWKSxNysuSwWfpozgb98/uVpiMhxlA+G8m95+STsVsAAABEu+wuLXTPeX0lSWM/WaRZK7cbToRYQvlspOBtt9W1ftWwGwkAAABR7uo/dNWFGR3k8wd03ZQCbS6tMh0JMYLy2UjBC4ck1q0AAAAg+lmWpbGXDFTvtinaUlat66YUcMiCkKB8NlKC3SaXY/d/RkZvAQAAEAuSnQ5NzM1SisuhX1bt0NiPF5mOhBhA+QyBlETWrQAAACC2dGvt0VNXDJYkvfLvlXp/9nrDiRDtKJ8hEBy9ZewWAAAAseSs/u008pTukqS73pqjJZvKDCdCNKN8hoDbGTz59BlOAgAAAITWrWf00vE9WqrS69OI1/JVVlVjOhKiFOUzBDzBsVt2fQIAACDGOOw2vTAsU+3TErVia4Vuf2OOAoGA6ViIQpTPEPAwdgsAAIAY1tLj0oScLCXYLc2Yv1H/8+0K05EQhSifIRB85rOM8gkAAIAYldm5ue67oL8k6fEZi/TD8q2GEyHaUD5DgJNPAAAAxIPcYzrrkqyO8gekG18v1MaSKtOREEUonyHgcdklUT4BAAAQ2yzL0iMXDVSfdinaWu7VqMn58tb6TcdClKB8hoDHlSCJsVsAAADEviSnXS9dla2URIcK1uzUIx8tMB0JUYLyGQJuTj4BAAAQR7q0dOu5oRmSpFd/XK13C9eZDYSoQPkMAZ75BAAAQLw5vW9b3XBaD0nSXW/P0cINpYYTIdJRPkMguOezjD2fAAAAiCM3DemlE3u2UlWNXyPz8lWyq8Z0JEQwymcIBFetVHgpnwAAAIgfdpulF4ZlqmOzJK3aVqnb3pgtvz9gOhYiFOUzBPaO3foMJwEAAACaVnO3UxNzs+S02/T5gk2a+M1y05EQoSifIRAsn4zdAgAAIB4N6tRMD1zYX5L09GeL9f3SrYYTIRJRPkOAC4cAAAAQ74Ydla4rjuwkf0C6cWqh1u3cZToSIgzlMwSC5XNXjU+1PpbsAgAAIP5YlqUHLxyg/h1Stb3Cq1GTC1Rdy2Np2IvyGQLBC4ckqcLLLzAAAADEp8QEuyblZistKUGzi3fqwQ8WmI6ECEL5DAGnwyanffd/SkZvAQAAEM/SWyTruWEZsixp8s9r9Gb+WtORECEonyES3PVZTvkEAABAnDu1dxuNPr2nJOnud+Zq/voSw4kQCSifIeJ22SVRPgEAAABJuvG0njqld2tV1/o1Mq9AJZU1piPBMMpniLid3HgLAAAABNlslp4bmqFOzZO0Znulbp5eJL8/YDoWDKJ8hkhKcOyWXZ8AAACAJKlZslOTcrPldNj05aLNGv/VMtORYBDlM0SCN94ydgsAAADsNaBjmh6+aIAk6ZkvluibJVsMJ4IplM8Q8VA+AQAAgP264sh0DT86XYGANHpqoYq3V5qOBAMonyESLJ888wkAAAD83v0X9NegTmnaWVmjUZMLVFXjMx0JTYzyGSJ7x275RQQAAAD8p8QEuybkZKlZcoLmrivRAx/MNx0JTYzyGSJ7x265QhoAAADYn07Nk/XCsExZlvT6rGJN/6XYdCQ0IcpniOwdu+XkEwAAADiQk3q11i1DekmS7nlvnuatKzGcCE2F8hki3HYLAAAA1M91p/bQ6X3ayFvr14i8fO2s9JqOhCZA+QwRD3s+AQAAgHqx2Sw9MzRDnVska+2OXRo9tUh+f8B0LIQZ5TNEPC67JKnCS/kEAAAADiUtKUGTcrPlctj0zZIten7mUtOREGaUzxDxuBIkcfIJAAAA1Fe/Dql69OKBkqQXvlyqrxZtNpwI4UT5DBH3npNPnvkEAAAA6u/S7E7KPbazAgHppmlFKt5eaToSwoTyGSJ7b7ulfAIAAAANce/5/TQ4vZlKdtVoRF6+qmrYIBGLKJ8hUlc+vT4elgYAAAAawOWwa2JOllq4nZq/vlT3vjtPgQB/p441lM8QCa5akbh0CAAAAGioDs2SNG54pmyW9Eb+Wk39pdh0JIQY5TNEXA6bHDZLklRRzZgAAAAA0FDH92ilW8/sLUm6/735ml2802wghBTlM0Qsy9q767O6xnAaAAAAIDqNPLm7zujXVl6fX6MmF2h7hdd0JIQI5TOE3M5g+eTkEwAAADgcNpulp68YrK4tk7Vu5y6NnlooH3eqxATKZwilBE8+2fUJAAAAHLbUxARNuipbiQk2fbd0q577YonpSAgBymcIBS8dYtcnAAAA0Dh92qXqsUsGSZLGfblMXyzYZDgRGovyGUJudn0CAAAAIXNRZkddfVwXSdLN04u0amuF4URoDMpnCKVw8gkAAACE1N3n9VNW52Yqq6rViLx87fJyv0q0onyGkNtll0T5BAAAAELF6bBpfE6WWnmcWrSxTHe/M1eBABcQRSPKZwgxdgsAAACEXvu0JL0wPFM2S3q7cJ3yfl5jOhIOA+UzhBi7BQAAAMLjD91b6c6z+0iSHvxgvgrX7DCcCA1F+QwhbrsFAAAAwucvJ3XT2f3bqcYX0KjJBdpWXm06EhqA8hlCHvZ8AgAAAGFjWZaevHyQurVya0NJlW54vVC1Pr/pWKgnymcIeYLPfHopnwAAAEA4pCQmaNJV2UpKsOuH5dv09OdLTEdCPVE+Q8jtDI7dcv0zAAAAEC692qbo8csGSZImfr1cn87faDgR6oPyGUJ7x25rDCcBAAAAYtsfB3fQNcd3lSTdNn22Vm6tMBsIh0T5DKG6sVtOPgEAAICw+9u5fXVkl+Yqq67ViNfyVcnjbxGN8hlC7PkEAAAAmk6C3aYJOVlq5XFp8aYyjXl7rgKBgOlYOADKZwgFTz7LvbX8Tw8AAAA0gTapiRp/ZabsNkvvFa3X//242nQkHADlM4SC5TMQkCq9jN4CAAAATeGYbi015pw+kqSHPlyg/NXbDSfC/lA+QygxwSabtfv9ckZvAQAAgCbz5xOO0HkD26vWH9CoyQXaUlZtOhL+A+UzhCzL2jt6S/kEAAAAmoxlWXr8skHq3tqtTaXVuuH1AtX6/KZjYR+UzxDzcOkQAAAAYITH5dBLV2XL7bTrpxXb9eSni01Hwj4onyG2d9cn5RMAAABoaj3apOjJywdLkl76doU+mbvBcCIEUT5DzM3YLQAAAGDUuQPb69oTj5Ak3f7mHC3fUm44ESTKZ8jVjd2y4BYAAAAw5s6z++joI1qovLpWI17L57G4CED5DLG6C4cYuwUAAACMcdhtevHKTLVJcWnp5nLd+dYcBQIB07HiGuUzxPaO3bLnEwAAADCpTUqiJuRkyWGz9OGcDfrff68yHSmuUT5DbO+qlRrDSQAAAAAc2bWF7j6vryTp0Y8X6pdV2w0nil+UzxDbu2qFk08AAAAgEvzXH7rqj4M7qNYf0KjJBdpcWmU6UlyifIYYt90CAAAAkcWyLI29ZKB6tfVoS1m1rp9SqBqf33SsuEP5DDH2fAIAAACRx+1yaFJutjwuh2at2q7HP1lkOlLcoXyGmMdll8SqFQAAACDSdGvt0VOXD5Yk/eP7lfpwznrDieIL5TPE3E7GbgEAAIBIdfaAdvrryd0kSXe8OUfLNpcZThQ/KJ8hxtgtAAAAENluP7O3juvWUpVen/76Wj4HR02E8hlie2+75X9gAAAAIBI57DaNuzJT7VITtXxLhe54c7YCgYDpWDGP8hliwdtuyyifAAAAQMRq5XFpfE6WEuyWPp67Uf/4bqXpSDGP8hliKfucfPLdEwAAACByZXdprnvP7ydJemzGIv20YpvhRLGN8hliwZNPf0CqqmF3EAAAABDJrjq2iy7K6CCfP6DrpxRqU2mV6Ugxi/IZYslOuyxr9/tl1TVmwwAAAAA4KMuy9OglA9WnXYq2lldr1OQCeWs5RAoHymeIWZYljzM4eusznAYAAADAoSQ7HZqYm60Ul0P5q3fo0Y8Xmo4UkyifYeDmxlsAAAAgqhzRyq2nrxgsSfrXD6v0XtE6w4liD+UzDIK7PsvY9QkAAABEjTP7t9OoU7pLku56a64WbywznCi2UD7DgJNPAAAAIDrdemZvndCjlXbV+DQyL1+lVdzjEiqUzzDwuOySpHLKJwAAABBV7DZLzw/LUIe0RK3YWqHb35jNCsUQoXyGgWfPySflEwAAAIg+LT0uTcjNltNu06fzN+mlb1eYjhQTKJ9hwNgtAAAAEN0y0pvpvgv6SZKemLFIPyzbajhR9KN8hkEKJ58AAABA1Ms5prMuzeokf0C64fVCbSjZZTpSVKN8hoGb8gkAAABEPcuy9PBFA9S3faq2VXg1anKBvLV+07GiFuUzDBi7BQAAAGJDktOuSblZSk10qHDNTj380QLTkaIW5TMMUhI5+QQAAABiRZeWbj07NEOS9H8/rtY7hWvNBopSlM8wcDuD5dNnOAkAAACAUDi9b1vdeFoPSdKYt+dq4YZSw4miD+UzDOqe+WQhLQAAABAzRg/ppRN7tlJVjV8j8vJVsou/7zcE5TMMgmO3FZx8AgAAADHDbrP0wrBMdWyWpNXbKnXr9CL5/QHTsaIG5TMMuO0WAAAAiE3N3U5NzM2S027TFws3a+I3y01HihqUzzDwUD4BAACAmDWoUzM9eGF/SdLTny3Wd0u3GE4UHSifYeDZZ9VKIMAxPAAAABBrhh3dWVcc2Un+gHTj64Vat3OX6UgRj/IZBm6XXZJU6w+omiW0AAAAQEx68MIBGtAxVTsqazQqL1/Vtdz5cjCUzzAIrlqRGL0FAAAAYlVigl0Tc7KVlpSg2WtL9MAHC0xHimiUzzCw2Sy5nbtPPysonwAAAEDMSm+RrOeGZciypCk/r9EbvxabjhSxKJ9hErzxtqyK8gkAAADEslN7t9Ho03tKku55d57mry8xnCgyUT7DxJO499IhAAAAALHtxtN66tTerVVd69eIvHyVVNaYjhRxKJ9hUnfjrZfyCQAAAMQ6m83Ss0Mz1Kl5koq379JN0wrl97P5Yl+UzzDxMHYLAAAAxJVmyU5Nys2Wy2HTV4u36MWvlpmOFFEon2Hirtv1yXXLAAAAQLwY0DFND100QJL07BdL9M2SLYYTRQ7KZ5jUjd3yzCcAAAAQV644Ml3Dj+6sQEAaPbVQxdsrTUeKCJTPMKkbu6V8AgAAAHHn/gv6aVCnNO2srNGoyQWqqmEikvIZJm5OPgEAAIC4lZhg14ScLDVPTtDcdSX6+/vzTUcyjvIZJh6XXZJUzoVDAAAAQFzq1DxZzw/LlGVJU38p1rRf1piOZBTlM0yCY7flrFoBAAAA4tZJvVrr1jN6SZLufW++5q4tMZzIHMpnmDB2CwAAAECSRp3SQ0P6tpG31q+Rk/O1o8JrOpIRlM8wSUncc/LJ2C0AAAAQ12w2S09fkaHOLZK1dscu3TStSD5/wHSsJkf5DJPgyWc5J58AAABA3EtLStCk3Gy5HDZ9s2SLXpi51HSkJkf5DJO6sVue+QQAAAAgqV+HVD168UBJ0vMzl+qrRZsNJ2palM8wSXExdgsAAADgty7N7qTcYztLkkZPLdSabZWGEzUdymeY7L1wiGWyAAAAAPa69/x+GpzeTKVVtRqRl6+qmvjoDJTPMAmWT6/Pr+ra+PifCQAAAMChuRx2TczJUgu3Uws2lOqed+cpEIj9C4gon2ES3PMpcfoJAAAA4Lc6NEvSuOGZslnSm/lr9fqsYtORwo7yGSZ2m6WkBLskdn0CAAAA+L3je7TSbWf1liT9/f35ml2802ygMKN8hpFnz67PMi4dAgAAALAfI0/urjP6tZXX59fIvHxtr/CajhQ2lM8w8rBuBQAAAMBBWJalp68YrK4tk7W+pEqjpxbK54/N5z8pn2Hkdu0euy1n7BYAAADAAaQmJmjSVdlKTLDpu6Vb9eznS0xHCgvKZxh52PUJAAAAoB76tEvVY5cMkiS9+NUyfbFgk+FEoUf5DKO6sVtOPgEAAAAcwkWZHXX1cV0kSTdPL9KqrRWGE4UW5TOMgrs+GbsFAAAAUB93n9dPWZ2bqayqViPy8rXLGztrGymfYeShfAIAAABoAKfDpgk52WrlcWrRxjLd/c5cBQKxcQER5TOMGLsFAAAA0FDt0hI1bniW7DZLbxeuU97Pa0xHCgnKZxhx8gkAAADgcBzXvaXuOKu3JOnBD+arYM0Ow4kaj/IZRnuf+YydOW0AAAAATeMvJ3XT2f3bqcYX0HWTC7S1vNp0pEahfIYRY7cAAAAADpdlWXry8kHq1tqtDSVVuvH1QtX6/KZjHTbKZxh5EtnzCQAAAODwpSQmaFJutpKddv2wfJue/nyJ6UiHjfIZRqxaAQAAANBYvdqm6PFLB0mSJn69XJ/O32g40eGhfIaRx2WXRPkEAAAA0DgXDO6g/z7+CEnSbdNna8WWcsOJGo7yGUYeV4IknvkEAAAA0Hhjzu2jo7o2V1l1rUbmFajSG109g/IZRm5OPgEAAACESML/b+/eY6Oq+zyOf2ZaZgrCtPIALVcvXIpIBS1phWel/NFYCGtoYh5MYb2QCphFRXFRSoxV2UDWRZ4aRQ1mxdVoFIxFo4gPFhSllUupWOSSlEVBeuFSaUsLLe389g+kj5Xb3M6cmfH9SiaB0zPhc/jyK+fTM3MmzqmVM25T315uHahrUsFHlTLG2B3LZ5RPC/X67cpna7tX56L4rlQAAAAAIkM/T4JWzrhNcU6HPv6+Wv9b+pPdkXxG+bTQhSufEi+9BQAAABAaGTf0VsGUkZKk//xsn8p/rrc5kW8onxaKj3PKHX/+r5jyCQAAACBU8v/lBk29pb/avUb//u4uHW9qtTvSVVE+Ldbrt8/6bI6yNwMDAAAAiFwOh0P/dfctGtavp+oaW/Xwe7vUHuFv9YuI8rly5Updf/31SkhIUGZmprZv3253pJC58FmfXPlEuPi7ntauXauRI0cqISFBaWlpWr9+fZiSAgAAIBg93fF6/d/SdY0rTtsO1euFLw7YHemKbC+fH3zwgRYsWKDCwkLt2rVLY8aMUU5Ojo4dO2Z3tJC4xnW+fJ5u7bA5Cf4M/F1PpaWlysvLU35+vioqKpSbm6vc3Fzt2bMnzMkBAAAQiGH9euq//zZGkrRqy//pHz/W2pzo8mwvnytWrNDs2bM1a9YsjRo1Sq+//rp69OihN99886J9W1tb1djY2OURyVra2tXDdf6mQy2UT4SBP+tJkl566SVNnjxZCxcu1E033aQlS5botttu0yuvvBLm5AAAADh7rkMnTrf6/PEpXq9Rw5lzumVQov467C+SpP9Yu1tH6lusjBmweDv/8La2NpWXl6ugoKBzm9PpVHZ2tsrKyi7af9myZXruuefCGTEoCz/8QTt//lWSFB/nsDkNYp2/60mSysrKtGDBgi7bcnJytG7dusv+Oa2trWpt/ecb2iP9h0AAAADRYsdP9br3f7Yr3umQK96pbnFOxTkd8hqjDq+R12vkNVKHOf/rdu/FJbXxbLs+q6zRQ1lDbTiCK7P1yueJEyfU0dGh5OTkLtuTk5NVW3vx5eKCggI1NDR0Po4cORKuqAGp/KVBkpR5Q2/9dVgfm9Mg1vm7niSptrbWr/2l8z8ESkxM7HwMHjw4+PAAAADQscZWORxSu9eopa1DDWfOqb65TadazqnpbLua2zp05lyH2tq9XYqnK86pv1zj0pDePZRzc7L+lj7IxqO4PFuvfPrL7XbL7XbbHcNn/3h8ok6cbtXApO5qamqyOw4QEgUFBV2uljY2NlJAAQAAQuDu9EH61zH9Vd/cpnPtRm0dXnV4jeKc5+9uG+dwKM7pkMMhxTkdinc61SshXgnd4uyO7hNby2efPn0UFxenurq6Ltvr6uqUkpJiU6rQSegWp0HX9rA7Bv4kAllPKSkpfq+/aPshEAAAQDRxx8epf2J3u2NYwtaX3bpcLqWnp6ukpKRzm9frVUlJicaPH29jMiD6BLKexo8f32V/Sdq4cSPrDwAAACFn+8tuFyxYoPvvv1/jxo1TRkaGioqK1NzcrFmzZtkdDYg6V1tP9913nwYOHKhly5ZJkubPn6+srCy9+OKLmjp1qt5//33t3LlTq1atsvMwAAAAEINsL5/33HOPjh8/rmeeeUa1tbUaO3asNmzYcNFNUABc3dXW0+HDh+V0/vMFDxMmTNB7772np59+WosXL9bw4cO1bt06jR492q5DAAAAQIxyGF8/RCYCNTY2KjExUQ0NDfJ4PHbHuaJoygr4g3/bAAAAf26+ng/a+p5PAAAAAMCfA+UTAAAAAGA5yicAAAAAwHKUTwAAAACA5SifAAAAAADLUT4BAAAAAJajfAIAAAAALEf5BAAAAABYjvIJAAAAALAc5RMAAAAAYDnKJwAAAADAcpRPAAAAAIDlKJ8AAAAAAMtRPgEAAAAAlqN8AgAAAAAsR/kEAAAAAFiO8gkAAAAAsBzlEwAAAABgOconAAAAAMBylE8AAAAAgOUonwAAAAAAy1E+AQAAAACWo3wCAAAAACxH+QQAAAAAWI7yCQAAAACwHOUTAAAAAGA5yicAAAAAwHKUTwAAAACA5SifAAAAAADLUT4BAAAAAJaLtztAMIwxkqTGxkabk1zdhYwXMgOxIprWIQAAAELP164T1eWzqalJkjR48GCbk/iuqalJiYmJdscAQiYa1yEAAABC72pdx2Gi+FKc1+vVgQMHNGrUKB05ckQej8fuSBdpbGzU4MGDdfjwYTkcDg0YMEBOJ692Ruzwer2qrq5Wr1695HA4LrnPhXUQqesUwWPGsY8Zxz5mHPuYceyza8bGGDU1NV2160T1lU+n06mBAwdKkjweT0QvosTExIjOBwTK6XRq0KBBPu0b6esUwWPGsY8Zxz5mHPuYceyzY8a+vLqTS3AAAAAAAMtRPgEAAAAAlov68ul2u1VYWCi32213lEuK9HxAOLAOYh8zjn3MOPYx49jHjGNfpM84qm84BAAAAACIDlF/5RMAAAAAEPkonwAAAAAAy1E+AQAAAACWo3wCAAAAACwXdeWzvr5eM2fOlMfjUVJSkvLz83X69OkrPmfSpElyOBxdHg899FDIMq1cuVLXX3+9EhISlJmZqe3bt19x/7Vr12rkyJFKSEhQWlqa1q9fH7IsQKSIxLWK0ApkxhcYYzRlyhQ5HA6tW7fO2qAIWCAznjt3roYOHaru3burb9++mjZtmvbv3x+mxPCXvzOur6/XI488otTUVHXv3l1DhgzRo48+qoaGhjCmhj8CWcerVq3SpEmT5PF45HA4dOrUqfCEhU+iuXtEXfmcOXOmfvzxR23cuFGffvqptmzZojlz5lz1ebNnz1ZNTU3n44UXXghJng8++EALFixQYWGhdu3apTFjxignJ0fHjh275P6lpaXKy8tTfn6+KioqlJubq9zcXO3ZsyckeYBIEWlrFaEX6IwlqaioSA6Hw+KECFYgM05PT9fq1au1b98+ffHFFzLG6M4771RHR0eYUsMf/s64urpa1dXVWr58ufbs2aO33npLGzZsUH5+fhhTwx+BrOOWlhZNnjxZixcvDlNK+Crqu4eJInv37jWSzI4dOzq3ff7558bhcJijR49e9nlZWVlm/vz5lmTKyMgw8+bN6/x9R0eHGTBggFm2bNkl958+fbqZOnVql22ZmZlm7ty5luQD7BCJaxWhFeiMjTGmoqLCDBw40NTU1BhJpri42OK0CEQwM/693bt3G0mmqqrKipgIQqhmvGbNGuNyucy5c+esiIkgBDvjzZs3G0nm119/tTAl/BHt3SOqrnyWlZUpKSlJ48aN69yWnZ0tp9Opbdu2XfG57777rvr06aPRo0eroKBALS0tQedpa2tTeXm5srOzO7c5nU5lZ2errKzsssfw+/0lKScn57L7A9Eo0tYqQi/QGbe0tGjGjBlauXKlUlJSwhEVAQpmHV/Q3Nys1atX64YbbtDgwYOtiooAhWLGktTQ0CCPx6P4+HgrYiIIoZoxIkMsdI+o+i5RW1urfv36ddkWHx+v3r17q7a29rLPmzFjhq677joNGDBAP/zwg5566ikdOHBAH330UVB5Tpw4oY6ODiUnJ3fZnpycfNn3t9TW1l5y/yvlB6JNpK1VhF6gM3788cc1YcIETZs2zeqICFKgM5akV199VU8++aSam5uVmpqqjRs3yuVyWRkXAQhmxhecOHFCS5Ys8fkl9wivUMwYkSMWukdEXPlctGjRRTcZ+eMjmJsVzJkzRzk5OUpLS9PMmTP19ttvq7i4WAcPHgzhUQCxj7Ua+6yc8SeffKJNmzapqKgotKHhF6vXsXT+PWYVFRX6+uuvNWLECE2fPl1nz54N0RHgasIxY0lqbGzU1KlTNWrUKD377LPBB4fPwjVjINQi4srnE088oQceeOCK+9x4441KSUm56M207e3tqq+v9+vlW5mZmZKkqqoqDR061O+8F/Tp00dxcXGqq6vrsr2uru6yeVJSUvzaH4gk0bpW4TsrZ7xp0yYdPHhQSUlJXbbffffduuOOO/TVV18FkRy+Csc6TkxMVGJiooYPH67bb79d1157rYqLi5WXlxdsfPggHDNuamrS5MmT1atXLxUXF6tbt27BxoYfwv3/MSJDLHSPiCifffv2Vd++fa+63/jx43Xq1CmVl5crPT1d0vmTGa/X23mS6ovvv/9ektS/f/+A8l7gcrmUnp6ukpIS5ebmSpK8Xq9KSkr08MMPX/YYSkpK9Nhjj3Vu27hxo8aPHx9UFiAconWtwndWznjRokV68MEHu2xLS0vT3//+d911113Bh4dPwr2OjTEyxqi1tTXgzPCP1TNubGxUTk6O3G63PvnkEyUkJIQsO3wT7nWMyBAT3cOW2xwFYfLkyebWW28127ZtM99++60ZPny4ycvL6/z6L7/8YlJTU822bduMMcZUVVWZ559/3uzcudMcOnTIfPzxx+bGG280EydODEme999/37jdbvPWW2+ZvXv3mjlz5pikpCRTW1trjDHm3nvvNYsWLercf+vWrSY+Pt4sX77c7Nu3zxQWFppu3bqZysrKkOQBIkWkrVWEnr8zvhRxt9uI5u+MDx48aJYuXWp27txpfv75Z7N161Zz1113md69e5u6ujq7DgNX4O+MGxoaTGZmpklLSzNVVVWmpqam89He3m7XYeAKAvleXVNTYyoqKswbb7xhJJktW7aYiooKc/LkSTsOAb8T7d0j6srnyZMnTV5enunZs6fxeDxm1qxZpqmpqfPrhw4dMpLM5s2bjTHGHD582EycONH07t3buN1uM2zYMLNw4ULT0NAQskwvv/yyGTJkiHG5XCYjI8N89913nV/Lysoy999/f5f916xZY0aMGGFcLpe5+eabzWeffRayLECkiMS1itDyd8aXQvmMbP7O+OjRo2bKlCmmX79+plu3bmbQoEFmxowZZv/+/TYdAa7G3xlf+OiNSz0OHTpkz0HgigL5Xl1YWHjJGa9evTr8B4CLRHP3cBhjTHivtQIAAAAA/mwi4m63AAAAAIDYRvkEAAAAAFiO8gkAAAAAsBzlEwAAAABgOconAAAAAMBylE8AAAAAgOUonwAAAAAAy1E+AQAAAACWo3wCAAAAACxH+QQAAAAAWI7yCQAAAACwHOXzN8ePH1dKSoqWLl3aua20tFQul0slJSU2JgMAAJGG8wYA8J/DGGPsDhEp1q9fr9zcXJWWlio1NVVjx47VtGnTtGLFCrujAQCACMN5AwD4h/L5B/PmzdOXX36pcePGqbKyUjt27JDb7bY7FgAAiECcNwCA7yiff3DmzBmNHj1aR44cUXl5udLS0uyOBAAAIhTnDQDgO97z+QcHDx5UdXW1vF6vfvrpJ7vjAACACMZ5AwD4jiufv9PW1qaMjAyNHTtWqampKioqUmVlpfr162d3NAAAEGE4bwAA/1A+f2fhwoX68MMPtXv3bvXs2VNZWVlKTEzUp59+anc0AAAQYThvAAD/8LLb33z11VcqKirSO++8I4/HI6fTqXfeeUfffPONXnvtNbvjAQCACMJ5AwD4jyufAAAAAADLceUTAAAAAGA5yicAAAAAwHKUTwAAAACA5SifAAAAAADLUT4BAAAAAJajfAIAAAAALEf5BAAAAABYjvIJAAAAALAc5RMAAAAAYDnKJwAAAADAcpRPAAAAAIDl/h8b9fnBeoMlgQAAAABJRU5ErkJggg==", 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", + "image/png": 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", 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", + "image/png": 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", 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xnAYA/Ftfd5weuux0SdJTH63VN5v2GU4EAADQfCjNR+F02NU+ximJLdoA0BRjfpKqq9Ld8nh9uu2VHO0uqzIdCQAAoFlQmhvx/S3aAIBjsyxLj/6yr3p0iNaesmpNfCVXdR6v6VgAAACnjNLciPprp3bspzQDQFNEhjs0K3OQosLtWrRpn6Z/vM50JAAAgFNGaW5ESsNdzWwxBICm6tY+WtOu7i9Jev7TjVqYt8twIgAAgFNDaW5EcsO1U5WGkwBAYLl8QLJuOLuzJGnSq8u0Yz/fRwEAQOCiNDfCzUozAJy0ey/trQEpcSo5UKtbs7JVXecxHQkAAOCkUJobcXilmTPNAHCinA67ns/MUFxEmJbtKNHj768xHQkAAOCkUJobUT89u6iiRgdqWCEBgBOVkhCp6dcOkCT9a9FWvbuswHAiAACAE0dpbkSsy6Fop0MSq80AcLIu6NVB44d2lSRNeX25NuwuN5wIAADgxFCaG2FZVsO5ZkozAJy8O3/eQ2eltVFFjUfjs5aqsqbOdCQAAIAmozQfQ3K8S5JUQGkGgJPmsNv03Jh0JcY4tW5Xue57c6V8Pp/pWAAAAE1CaT6G+nPN+fspzQBwKtrHuDRjTLpslvRGTr7mfLvddCQAAIAmoTQfQ3LDtVOUZgA4VWeltdVdF/eSJD34ziqtzC8xnAgAAOD4KM3HUH+meQelGQCaxS0/TdOFvdqrps6r8VnZKjlQazoSAADAMVGaj8HNSjMANCubzdLTowYoJSFC24oqdde8ZZxvBgAAfo3SfAz1Z5oLS6rk8fKmDgCaQ3xkuGZlZijcbtNHq3fpb19uNh0JAACgUZTmY2gf45LDZqnO69PusirTcQAgaPRPidf9l/WRJD0xP0/fbikynAgAAODoKM3HYLdZSoo7eO0UE7QBoHldN7iTLh+QLI/Xpwmzs7W3vNp0JAAAgB+hNB9H/QTtfM41A0CzsixL067qp27to7WrtFoT5+RwFAYAAPgdSvNxpFCaAaDFRDkdeiEzQxFhdn21YZ+e/WS96UgAAABHoDQfR/0wMCZoA0DL6N4hRtOu6idJmrFwvT5ft8dwIgAAgMMozcfRsD2bM80A0GKuTHcrc3An+XzSHXNy+EElAADwG5Tm4zh8VzPTswGgJd3/iz7q647V/spa3To7WzV1XtORAAAAKM3H8/1BYD4fA2oAoKW4wux6IXOQYl0O5Wwr1rQP15iOBAAAQGk+nvqV5vLqOpVW1RlOAwDBLbVNpJ4eNVCS9I+vtuiDFTvNBgIAACGP0nwcEeF2tYkKl8S5ZgBoDT/v00G3/CxNknT3a8u1aU+54UQAACCUUZqb4PC5ZkozALSGuy7qqZ90aaPy6jqNz8rWgRqP6UgAACBEUZqbIDneJYm7mgGgtTjsNs0Ym6520eHKKyzTA2+vNB0JAACEKEpzE7jjIyVRmgGgNXWIdem5MemyWdK8pTs099vtpiMBAIAQRGluAlaaAcCMIV3b6c6f95Ak3f/2Sq0uKDWcCAAAhBpKcxOkJBy6dopBYADQ6sYP7aahPRNVXefV+KylKq2qNR0JAACEEEpzEyQzCAwAjLHZLE0fNVDu+Aht2Vepe15bLp/PZzoWAAAIEZTmJqifnr27rFrVdUxwBYDWlhAVrplj0xVmt/ThykL9/astpiMBAIAQQWlugjZR4XKFHfyfqrCkynAaAAhN6Z0SdO+I3pKkaR+s0dKt+w0nAgAAoYDS3ASWZTVs0eZcMwCY86shXXRp/46q8/o0YXa2iipqTEcCAABBjtLcRPVbtJmgDQDmWJalP13dX2mJUdpZUqWJc3Lk8XK+GQAAtBxKcxNRmgHAP0Q7HXohc5BcYTZ9uX6vZi7cYDoSAAAIYpTmJmKCNgD4j55JMXrsyn6SpGc+Waf/rt9rOBEAAAhWAVOaH3vsMQ0ZMkSRkZGKj49v9c/PSjMA+JerB6Vo9Jmp8vmkiXNyGNQIAABaRMCU5pqaGo0cOVLjxo0z8vndCfUrzbwpAwB/8dDlp6tPx1jtq6jRhNnZqvV4TUcCAABBJmBK88MPP6xJkyapX79+Rj7/91eavQydAQC/4Aqz64XrMhTjdOi7rfv15/l5piMBAIAgEzCl+WRUV1ertLT0iMfJSopzybKkmjqv9nHFCQD4jc5to/TkyAGSpP/9crPmryw0nAgAAASToC7N06ZNU1xcXMMjNTX1pP+sMLtNHWJckjjXDAD+ZnjfJP3m3NMkSXfNW6at+yoMJwIAAMHCaGmeMmWKLMs65iMv7+S32k2dOlUlJSUNj+3bt59S3sPnminNAOBv7rmklwZ1TlBZdZ3GvZytqlqP6UgAACAIOEx+8smTJ+vGG2885nPS0tJO+s93Op1yOp0n/fofSo6P0NKt+5W/n9IMAP4mzG7T82MzdOlzX2r1zlI9/O4qTbuqv+lYAAAgwBktzYmJiUpMTDQZ4YRw7RQA+LekOJeeHZ2u6/++WK8s2a4zOrfR1YNSTMcCAAABLGDONG/btk25ubnatm2bPB6PcnNzlZubq/Ly8lbL4I7nTDMA+Ltzu7fTHRf2kCTd+9YK5RWe/BBIAACAgCnNDzzwgNLT0/Xggw+qvLxc6enpSk9P13fffddqGerPNLM9GwD8220XdNN53dupqtar8VnZKq+uMx0JAAAEqIApzf/85z/l8/l+9Bg6dGirZUg+tD27oITSDAD+zGaz9My1A9UxzqVNeyp0z+vL5fP5TMcCAAABKGBKsz+oP9NcXFmrClYtAMCvtY12aubYDDlslt5fvlP/XrTVdCQAABCAKM0nIMYVphjXwdlpXDsFmFNUVKTMzEzFxsYqPj5eN9100zHnGxQVFem2225Tz549FRERoU6dOun2229XSUlJK6aGCYM6J2jqiN6SpEffX63c7cVmAwEAgIBDaT5B9avNOyjNgDGZmZlatWqVFixYoPfee09ffPGFfvvb3zb6/IKCAhUUFOipp57SypUr9c9//lPz58/XTTfd1IqpYcr/nNNFl/RNUq3Hp1uzsrW/osZ0JAAAEECMXjkViNzxEcorLGOlGTBkzZo1mj9/vr799ludccYZkqQZM2ZoxIgReuqpp5ScnPyj1/Tt21evv/56w6+7du2qxx57TNddd53q6urkcPCtMJhZlqU/XdNfa3aWasu+Sk2am6u//+pM2WyW6WgAACAAsNJ8gpigDZi1aNEixcfHNxRmSRo2bJhsNpsWL17c5D+npKREsbGxFOYQEesK06zMQXI6bPps7R698PlG05EAAECAoDSfoIYJ2qw0A0YUFhaqffv2R3zM4XCoTZs2KiwsbNKfsXfvXj3yyCPH3NJdXV2t0tLSIx4IbH2SY/XIFX0lSU9/tFZfb9xrOBEAAAgElOYTVH+mOZ/SDDSrKVOmyLKsYz7y8vJO+fOUlpbq0ksvVZ8+ffTQQw81+rxp06YpLi6u4ZGamnrKnxvmjTozVSMHpcjrk25/JUe7SqtMRwIAAH6OfYknqH57dkExb7SA5jR58mTdeOONx3xOWlqakpKStHv37iM+XldXp6KiIiUlJR3z9WVlZRo+fLhiYmL05ptvKiwsrNHnTp06VXfeeWfDr0tLSynOQeKPV/TVivwS5RWW6bZXcjT7N4PlsPMzZAAAcHSU5hNUv9JcWFqlOo+XN1pAM0lMTFRiYuJxn3f22WeruLhYS5cu1aBBgyRJCxculNfr1eDBgxt9XWlpqS6++GI5nU698847crlcx/w8TqdTTqfzxL4IBISIcLtmZWbo8plfacnmIj310TpNuaSX6VgAAMBP0fhOUGK0U2F2Sx6vT7vKqk3HAUJO7969NXz4cN18881asmSJvvrqK02YMEGjR49umJydn5+vXr16acmSJZIOFuaLLrpIFRUV+r//+z+VlpaqsLBQhYWF8ng8Jr8cGJKWGK0/X9NfkvTi5xu1YPUuw4kAAIC/ojSfIJvNUsc4JmgDJmVlZalXr1668MILNWLECJ177rl66aWXGn6/trZWa9euVWVlpSQpOztbixcv1ooVK9StWzd17Nix4bF9+3ZTXwYMG9Gvo359ThdJ0uS5udpeVGk2EAAA8Etszz4J7vgIbSuqZII2YEibNm00e/bsRn+/S5cu8vl8Db8eOnToEb8G6k29pLdytxcrZ1uxxmUt1Wu/GyJXmN10LAAA4EdYaT4JyUzQBoCgEO6waebYDCVEhmllfqkeeW+16UgAAMDPUJpPQv0EbUozAAQ+d3yEpl87UJYlZS3eprdy8k1HAgAAfoTSfBLc8Qen7nKmGQCCw9Ce7XXb+d0kSVPfWKH1u8oMJwIAAP6C0nwS3PGRksSZZgAIIhOH9dA53drqQK1H47KyVVFdZzoSAADwA5Tmk5Bcv9JcfIDhQgAQJOw2S8+OTleHWKc27C7XH95cwfd4AABAaT4Z9YPAKms8KjlQazgNAKC5tIt2aubYDNltlt7OLVDW4m2mIwEAAMMozSfBFWZXu+hwSdIOzjUDQFA5s0sb3TO8pyTpj++u1vIdxWYDAQAAoyjNJ8nNtVMAELRuPi9NF/XpoBqPV+OzslVSya4iAABCFaX5JNVv0WYYGAAEH8uy9OTIAerUJlI79h/Q5Hm58no53wwAQCiiNJ+khpVmtmcDQFCKiwjTrMwMhTts+njNbr305SbTkQAAgAGU5pPUsNJcQmkGgGDV1x2nhy8/XZL05H/W6ptN+wwnAgAArY3SfJLcCaw0A0AoGH1mqq5Kd8vj9em2V3K0u6zKdCQAANCKKM0n6fAgMN48AUAwsyxLj/6yr3p0iNaesmpNfCVXdR6v6VgAAKCVUJpPUn1p3lterapaj+E0AICWFBnu0KzMQYoKt2vRpn2a/vE605EAAEAroTSfpPjIMEWG2yVJO0tYbQaAYNetfbSmXd1fkvT8pxu1MG+X4UQAAKA1UJpPkmVZDcPAONcMAKHh8gHJuuHszpKkSa8u0479lYYTAQCAlkZpPgVu7moGgJBz76W9NSAlTiUHanXr7BxV13FEBwCAYEZpPgX1K807KM0AEDKcDruez8xQXESYlm0v1uPvrzEdCQAAtCBK8ylISWClGQBCUUpCpKZfO0CS9K9FW/XusgLDiQAAQEuhNJ+C5HiXJM40A0AouqBXB916fldJ0pTXl2vD7nLDiQAAQEugNJ8Cd3ykJKmghNIMAKFo0rAeOiutjSpqPBqftVSVNXWmIwEAgGZGaT4F9SvNO4ur5PX6DKcBALQ2h92m58akKzHGqXW7ynXfmyvl8/HvAQAAwYTSfAqSYl2yWVKNx6u95dWm4wAADGgf49KMMemyWdIbOfma8+1205EAAEAzojSfAofdpqTYg6vNTNAGgNB1Vlpb3XVxL0nSg++s0sr8EsOJAABAc6E0nyI3E7QBAJJu+WmaLuzVXjV1Xo3PylbJgVrTkQAAQDOgNJ+i+ruamaANAKHNZrP09KgBSkmI0LaiSt01bxnnmwEACAKU5lPkri/NrDQDQMiLjwzXrMwMhdtt+mj1Lv3ty82mIwEAgFNEaT5F9SvNbM8GAEhS/5R43X9ZH0nSE/Pz9O2WIsOJAADAqaA0n6L6M8072J4NADjkusGddMXAZHm8Pk2Ync0NCwAABDBK8ylys9IMAPgBy7L0+C/7qVv7aO0qrdbEOTnyeDnfDABAIKI0n6L67dmlVXUqq2JSKgDgoCinQy9kZigizK6vNuzTs5+sNx0JAACcBErzKYp2OhQXESZJKiiuMpwGAOBPuneI0bSr+kmSZixcr8/X7TGcCAAAnChKczM4PEG70nASAIC/uTLdrczBneTzSXfMyeE4DwAAAYbS3Azqh4Hls9IMADiK+3/RR33dsdpfWatbZ2erps5rOhIAAGgiSnMzaFhpZoI2AOAoXGF2vZA5SLEuh3K2FeuJD/NMRwIAAE1EaW4GTNAGABxPaptIPT1qoCTp719t1gcrdpoNBAAAmoTS3AySG840U5oBAI37eZ8OuuVnaZKku19brs17KwwnAgAAx0Npbgb1Z5pZaQYAHM9dF/XUT05ro/LqOo17eamqaj2mIwEAgGOgNDeD5HiXJGlXaZVqPQx3AQA0zmG3aeaYdLWLDldeYZkeeHul6UgAAOAYKM3NoF2UU+EOm7w+qbCECdoAgGNrH+vSc2PSZbOkud/t0Nxvt5uOBAAAGkFpbgY2m6XkuIOrzZxrBgA0xZCu7XTnz3tIku5/e6VWF5QaTgQAAI6G0txMONcMADhR44d209Ceiaqu82p81lKVVtWajgQAAH6A0txMkuO4qxkAcGJsNkvTRw2UOz5CW/ZV6p7Xlsvn85mOBQAAvofS3EwaVppLKM0AgKZLiArXzLHpCrNb+nBlof7x1RbTkQAAwPdQmptJ/V3NO1hpBgCcoPROCbrv0j6SpMc/WKOlW/cbTgQAAOpRmptJSjxnmgEAJ++Gszvr0v4dVef1acLsbBVV1JiOBAAARGluNvUrzfnFBziPBgA4YZZl6U9X91daYpR2llTpjldz5fXy7wkAAKZRmptJx/iDV05V1XpZHQAAnJRop0MvZA6SK8ymL9bt0cxPN5iOBABAyKM0NxOnw67EGKckqaC4ynAaAECg6pkUo8eu7CdJmv7xOv13/V7DiQAACG2U5mbkbtiiXWk4CQAgkF09KEWjz0yVzydNnJOjwhJ+GAsAgCmU5mZUf+1UPivNAIBT9NDlp6tPx1jtq6jRhNnZqvV4TUcCACAkUZqbUcNKM9dOAQBOkSvMrheuy1CM06Hvtu7Xn+fnmY4EAEBIojQ3IzfXTgEAmlHntlF6cuQASdL/frlZ81cWGk4EAEDooTQ3o+9fOwUAQHMY3jdJN593miTprnnLtHVfheFEAACEFkpzM2KlGQDQEu4e3ktndE5QWXWdxr2crapaj+lIAACEDEpzM6ovzfsqanSghjc0AIDmEWa3aebYDLWNCtfqnaV6+N1VpiMBABAyKM3NKDbCoWinQ5JUUMJqMwCg+STFufTs6HRZlvTKku16fekO05EAAAgJlOZmZFmWkuNdkpigDQBofud2b6c7LuwhSbr3rRVaW1hmOBEAAMGP0tzMONcMAGhJt13QTed1b6eqWq/GZS1VeXWd6UgAAAQ1SnMzY4I2AKAl2WyWnrl2oDrGubRpT4XueX25fD6f6VgAAAQtSnMzcydQmgEALatttFMzx2bIYbP0/vKd+veiraYjAQAQtCjNzax+ezZnmgEALWlQ5wRNHdFbkvTo+6uVu73YbCAAAIIUpbmZNZxpZno2AKCF/c85XXRJ3yTVeny6NStb+ytqTEcCACDoUJqbWf2Z5p3FVfJ4OWMGAGg5lmXpT9f0V5e2kcovPqA75+bKy789AAA0K0pzM+sQ65LdZqnO69OesmrTcQAAQS7WFaZZmYPkdNj06do9euHzjaYjAQAQVCjNzcxus5QUe+iu5uJKw2kAAKGgT3KsHrmiryTp6Y/W6uuNew0nAgAgeFCaW0D9BO0dDAMDALSSUWemauSgFHl90u2v5Gp3aZXpSAAABAVKcwtoGAZWzBsWAEDr+eMVfdUrKUZ7y6s14ZUc1Xm8piMBABDwKM0toOHaKbZnAwBaUUS4XbMyMxTtdGjJ5iI99dE605EAAAh4lOYWUL89m5VmAEBrS0uM1p+v6S9JevHzjVqwepfhRAAABDZKcwuov3YqnzPNAAADRvTrqF+f00WSNHlurrYXsfMJAICTRWluAYfPNFOaAQBmTL2kt9I7xau0qk7js7JVVesxHQkAgIBEaW4ByfEHr5wqq65TyYFaw2kAAKEo3GHT82MzlBAZphX5JXr0/dWmIwEAEJAozS0gMtyhNlHhklhtBgCYkxwfoenXDpRlSS9/s01v5+abjgQAQMChNLeQ+tVmzjUDAEwa2rO9bju/myRp6hsrtH5XmeFEAAAEFkpzC2k411xCaQYAmDVxWA+d062tKms8GpeVrYrqOtORAAAIGJTmFsIEbQCAv7DbLD07Ol0dYp3asLtc9765Qj6fz3QsAAACQkCU5i1btuimm27SaaedpoiICHXt2lUPPvigampqTEdrVP1Kcz5nmgEAfqBdtFMzx2bIbrP0Vm6BshZvMx0JAICAEBClOS8vT16vV3/961+1atUqTZ8+XS+++KL+8Ic/mI7WKEozAMDfnNmlje4Z3lOS9Md3V2v5jmKzgQAACAABUZqHDx+uf/zjH7rooouUlpamyy+/XL///e/1xhtvmI7WKHcCdzUDAPzPzeel6aI+HVTj8Wp8VrZKKrkaEQCAYwmI0nw0JSUlatOmzTGfU11drdLS0iMeraX+TPPusmrV1Hlb7fMCAHAslmXpyZED1KlNpHbsP6DJ83Ll9XK+GQCAxgRkad6wYYNmzJihW2655ZjPmzZtmuLi4hoeqamprZRQahsVLqfDJp9PKiyparXPCwDA8cRFhGlWZobCHTZ9vGa3Xvpyk+lIAAD4LaOlecqUKbIs65iPvLy8I16Tn5+v4cOHa+TIkbr55puP+edPnTpVJSUlDY/t27e35JdzBMuyGs417yiubLXPCwBAU/R1x+nhy0+XJD35n7VavGmf4UQAAPgnh8lPPnnyZN14443HfE5aWlrD/11QUKDzzz9fQ4YM0UsvvXTcP9/pdMrpdJ5qzJPmTojQpr0VKihmpRkA4H9Gn5mqbzcX6Y2cfE14JUfv336u2se4TMcCAMCvGC3NiYmJSkxMbNJz8/Pzdf7552vQoEH6xz/+IZvN/3eWJ8dxVzMAwH9ZlqVHf9lXKwtKtG5XuSa+kquXfzNYdptlOhoAAH7D/5unDhbmoUOHqlOnTnrqqae0Z88eFRYWqrCw0HS0Y2KCNgDA30WGOzQrc5Ciwu1atGmfpi9YZzoSAAB+JSBK84IFC7RhwwZ98sknSklJUceOHRse/iyZu5oBAAGgW/toTbu6vyRp5qcb9GnebsOJAADwHwFRmm+88Ub5fL6jPvyZm9IMAAgQlw9I1g1nd5YkTZqbqx37GWIJAIAUIKU5UKUkHC7N/l7wAQC499LeGpASp+LKWt06O0fVdR7TkQAAMI7S3II6xLpkWVJNnVd7y2tMxwEA4JicDruez8xQXESYlm0v1uPvrzEdCQAA4yjNLSjcYVOHQ1d3MAwMABAIUhIiNf3aAZKkfy3aqneXFRhOBACAWZTmFpYcf7A0c64ZABAoLujVQbee31WSNOX15dq4p9xwIgAAzKE0tzB3QqQkVpoBAIFl0rAeOiutjSpqPBr38lJV1tSZjgQAgBGU5hZWv9K8Yz+lGQAQOBx2m54bk67EGKfW7SrXfW+tZKglACAkUZpbWMqha6dYaQYABJr2MS7NGJMumyW9kZ2vV7/dbjoSAACtjtLcwpK5qxkAEMDOSmuruy7uJUl64J1VWplfYjgRAACti9LcwtwJrDQDAALbLT9N04W92qumzqtbZ2er5ECt6UgAALQaSnMLq19p3l9ZyxAVAEBAstksPT1qgFISIrR1X6XumreM880AgJBBaW5hsa4wxbgcklhtBgAErvjIcM3KzFC43aaPVu/S377cbDoSAACtgtLcCtyHVpuZoA0ACGT9U+J1/2V9JElPzM/Tt1uKDCcCAKDlUZpbgbthgnaV4SQAAJya6wZ30hUDk+Xx+jRhdrb2llebjgQAQIuiNLeCwxO0Kw0nAQDg1FiWpcd/2U/d2kdrV2m17piTK4+X880AgOBFaW4Fhydos9IMAAh8UU6HXsjMUESYXf/dsFfPfrLedCQAAFoMpbkVNKw0c6YZaBZFRUXKzMxUbGys4uPjddNNN6m8vLxJr/X5fLrkkktkWZbeeuutlg0KBLHuHWI07ap+kqQZC9fr83V7DCcCAKBlUJpbgbthezalGWgOmZmZWrVqlRYsWKD33ntPX3zxhX7729826bXPPPOMLMtq4YRAaLgy3a3MwZ3k80l3zMnhlggAQFCiNLeClEPbswtLq1Tn8RpOAwS2NWvWaP78+frb3/6mwYMH69xzz9WMGTM0Z84cFRQUHPO1ubm5evrpp/X3v/+9ldICwe/+X/RRP3ec9lfWasLsbNXU8e8cACC4UJpbQWK0U2F2Sx6vT7vKmDIKnIpFixYpPj5eZ5xxRsPHhg0bJpvNpsWLFzf6usrKSo0dO1bPP/+8kpKSjvt5qqurVVpaesQDwI+5wuyalZmhWJdD2duK9cSHeaYjAQDQrCjNrcBms9Qxrn4YGFvXgFNRWFio9u3bH/Exh8OhNm3aqLCwsNHXTZo0SUOGDNEVV1zRpM8zbdo0xcXFNTxSU1NPKTcQzFLbROrpUQMlSX//arM+WLHTbCAAAJoRpbmVJMe7JDEMDGjMlClTZFnWMR95eSe3gvXOO+9o4cKFeuaZZ5r8mqlTp6qkpKThsX379pP63ECo+HmfDrrlZ2mSpLtfW67NeysMJwIAoHk4TAcIFe74SElFDAMDGjF58mTdeOONx3xOWlqakpKStHv37iM+XldXp6Kioka3XS9cuFAbN25UfHz8ER+/+uqrdd555+mzzz770WucTqecTueJfAlAyLvrop7K2VasJZuLNO7lpXrr1nPkCrObjgUAwCmhNLcSd/1KM6UZOKrExEQlJiYe93lnn322iouLtXTpUg0aNEjSwVLs9Xo1ePDgo75mypQp+s1vfnPEx/r166fp06frsssuO/XwACRJDrtNM8eka8RzXyqvsEwPvL1Sf75mgOlYAACcErZntxJ3AmeagebQu3dvDR8+XDfffLOWLFmir776ShMmTNDo0aOVnJwsScrPz1evXr20ZMkSSVJSUpL69u17xEOSOnXqpNNOO83Y1wIEo/axLj03Jl02S5r73Q7N/Y6jDQCAwEZpbiXJ9Xc1c6YZOGVZWVnq1auXLrzwQo0YMULnnnuuXnrppYbfr62t1dq1a1VZWWkwJRC6hnRtpzt/3kOSdP9bK7W6gOnzAIDAxfbsVuKOP7zS7PP5ZFmW4URA4GrTpo1mz57d6O936dJFPp/vmH/G8X4fwKkZP7Sbvtu6X5+t3aNbZ2frnQnnKMYVZjoWAAAnjJXmVlK/0lxR41HJgVrDaQAAaFk2m6XpowbKHR+hzXsrdM/ry/lhFQAgIFGaW4krzK520eGSGAYGAAgNCVHhej4zQ2F2Sx+sKNQ/vtpiOhIAACeM0tyKONcMAAg1A1Pjdd+lfSRJj3+wRku37jecCACAE0NpbkXfP9cMAECouOHszrq0f0fVeX2aMDtbRRU1piMBANBklOZW1LDSTGkGAIQQy7L0p6v7Ky0xSjtLqnTHq7nyejnfDAAIDJTmVnR4pbnKcBIAAFpXtNOhFzIHyRVm0xfr9mjmpxtMRwIAoEkoza2ofqV5ByvNAIAQ1DMpRo9d2U+SNP3jdfrv+r2GEwEAcHyU5laUksCZZgBAaLt6UIpGn5kqn0+aOCdHhSXsvgIA+DdKcyuqX2neU1atqlqP4TQAAJjx0OWnq0/HWO2rqNGE2dmq9XhNRwIAoFGU5laUEBmmiDC7JPGTdQBAyHKF2fXCdRmKcTn03db9evI/a01HAgCgUZTmVmRZltwJTNAGAKBz2yg9ec0ASdJLX2zSf1YVGk4EAMDRUZpbGddOAQBw0PC+Sbr5vNMkSb+ft0xb91UYTgQAwI9RmltZ/bVT+fspzQAA3D28l87onKCyqjqNezmbmR8AAL9DaW5l7niXJFaaAQCQpDC7TTPHZqhtVLhW7yzVw++uMh0JAIAjUJpbmZtrpwAAOEJSnEvPjk6XZUmvLNmu15fuMB0JAIAGlOZWlhzHmWYAAH7o3O7tdMeFPSRJ9761QmsLywwnAgDgIEpzK6tfad5ZXCWv12c4DQAA/uO2C7rpvO7tVFXr1bispSqvrjMdCQAASnNr6xDrks2Sajxe7S2vNh0HAAC/YbNZeubageoY59KmPRWa8vpy+Xz8gBkAYBaluZWF2W1KimUYGAAAR9M22qmZYzPksFl6b/lO/b9vtpqOBAAIcZRmA7irGQCAxg3qnKCpI3pLkh55b7VytxebDQQACGmUZgOYoA0AwLH9zzlddEnfJNV6fLo1K1v7K2pMRwIAhChKswENK837Kc0AAByNZVn60zX91aVtpPKLD+jOubkM0AQAGEFpNsDdsD27ynASAAD8V6wrTLMyB8npsOnTtXv0wucbTUcCAIQgSrMBbs40AwDQJH2SY/XIFX0lSU9/tFZfb9xrOBEAINRQmg3gTDMAAE036sxUjRyUIq9Puv2VXO0uZacWAKD1UJoNqD/TXHKgVuXVdYbTAADg//54RV/1SorR3vJqTXglR3Uer+lIAIAQQWk2INrpUFxEmCRWmwEAaIqIcLtmZWYo2unQks1FeuqjdaYjAQBCBKXZECZoAwBwYtISo/Xna/pLkl78fKM+Xr3LcCIAQCigNBvCMDAAAE7ciH4d9etzukiS7pybq+1FlWYDAQCCHqXZkJQESjMAACdj6iW9ld4pXqVVdRqfla3qOo/pSACAIEZpNiQ53iWJM80AAJyocIdNz4/NUEJkmFbkl+iR91abjgQACGKUZkPc8ZGSONMMAMDJSI6P0PRrB8qypJe/2aa3c/NNRwIABClKsyH1K81szwYA4OQM7dlet53fTZI09Y0VWr+rzHAiAEAwojQb4j50pnlXaZVquWsSAICTMnFYD53Tra0qazwal5Wtiuo605EAAEGG0mxIuyinwu02eX1SYUmV6TgAAAQku83Ss6PT1SHWqQ27y3Xvmyvk8/lMxwIABBFKsyE2m8UwMAAAmkG7aKdmjs2Q3WbprdwCZS3eZjoSACCIUJoNSuauZgAAmsWZXdpoyvBekqQ/vrtaK3aUGE4EAAgWlGaD3IdKMyvNAACcut+cd5ou6tNBNR6vxmUtVUllrelIAIAgQGk2iJVmAACaj2VZenLkAHVqE6kd+w9o8rxceb2cbwYAnBpKs0H1E7TzixkEBgBAc4iLCNOszAyFO2z6eM1uvfTlJtORAAABjtJsUP327Pz9lYaTAAAQPPq64/Tw5adLkp78z1ot3rTPcCIAQCCjNBt0+ExzFddjAADQjEafmaqr0t3yeH2a8EqOdpexqwsAcHIozQYlxR28cupArUf7GVYCAECzsSxLj/6yr3p0iNaesmpNfCVXHs43AwBOAqXZIFeYXYkxTklM0AYAoLlFhjs0K3OQosLtWrRpn6YvWGc6EgAgAFGaDaufoL1jP6UZAIDm1q19tKZd3V+SNPPTDfo0b7fhRACAQENpNiyFu5oBAGhRlw9I1q/O7ixJmjQ3VzsYwAkAOAGUZsMOXztFaQYAoKX84dLeGpASp+LKWt06O0c1dV7TkQAAAYLSbFjyoWFgrDQDANBynA67ns/MUFxEmJZtL9bjH6wxHQkAECAozYa5EyIlsdIMAEBLS0mI1PRrB0iS/vn1Fr27rMBwIgBAIKA0G5Ycz0ozAACt5YJeHXTr+V0lSVNeX66Ne8oNJwIA+DtKs2Ep8QdXmveW16iq1mM4DQAAwW/SsB46K62NKmo8Gv9ytg7U8O8vAKBxlGbDYiMcigq3S2K1GQCA1uCw2/TcmHQlxji1dleZ7n1rhXw+n+lYAAA/RWk2zLIsJmgDANDK2se4NHNMuuw2S29k5+vVb7ebjgQA8FOUZj+QfOiu5vz9lGYAAFrL4LS2+v1FPSVJD7yzSivzSwwnAgD4I0qzH3AfKs1szwYAoHXd8tM0DevdXjV1Xt06O1slB2pNRwIA+BlKsx+oX2neQWkGAKBV2WyWnh45UCkJEdq6r1J3zVvG+WYAwBEozX4gJYGVZgAATImLDNOszAyF2236aPUu/d9/N5uOBADwI5RmP9BwppnSDACAEf1T4nX/ZX0kSdM+zNN3W4oMJwIA+AtKsx+oP9NcWFIlj5ctYQAAmHDd4E66YmCyPF6fJszO0d7yatORAAB+gNLsB9rHOGW3War1+LSnjH+gAQAwwbIsPf7LfurWPlqFpVW6Y04uP8wGAFCa/YHDblNSrEsSW7QBADApyunQC5kZigiz678b9uq5T9abjgQAMIzS7CfcnGsGAMAvdO8Qoyeu7idJem7hen2+bo/hRAAAkwKmNF9++eXq1KmTXC6XOnbsqOuvv14FBQWmYzUbNxO0AQDwG1cMdCtzcCf5fNIdc3L49xkAQljAlObzzz9fc+fO1dq1a/X6669r48aNuuaaa0zHajbJ8Ye2Z+/nH2UAAPzB/b/oo37uOO2vrNWE2dmqqfOajgQAMCBgSvOkSZN01llnqXPnzhoyZIimTJmib775RrW1taajNQt3fKQkVpoBAPAXrjC7ZmVmKNblUPa2Yj3xYZ7pSAAAAwKmNH9fUVGRsrKyNGTIEIWFhZmO0yzqt2dzphkAAP+R2iZST48aKEn6+1eb9eGKnWYDAQBaXUCV5nvuuUdRUVFq27attm3bprfffvuYz6+urlZpaekRD3/ljmd6NgAA/ujnfTrolp+lSZLuem25Nu+tMJwIANCajJbmKVOmyLKsYz7y8g5vhbrrrruUk5Ojjz76SHa7XTfccIN8vsbvT5w2bZri4uIaHqmpqa3xZZ2U5EPTs8uq6lRaFRxbzgEACBZ3XdRTPzmtjcqr6zTu5aWqqvWYjgQAaCWW71its4Xt2bNH+/btO+Zz0tLSFB4e/qOP79ixQ6mpqfr666919tlnH/W11dXVqq6ubvh1aWmpUlNTVVJSotjY2FML3wLS//iR9lfWav4d56lXkv/lay6lpaWKi4vz278H4Gj47xbA7tIqjXjuS+0tr9GoM1L052sGmI4EADhJJ/LeztFKmY4qMTFRiYmJJ/Var/fgBMvvl+IfcjqdcjqdJ/Xnm+BOiND+ylrl7z8Q1KUZAIBA1D7WpefGpOu6vy3W3O926IwubTTqDP/dxQYAaB4BcaZ58eLFmjlzpnJzc7V161YtXLhQY8aMUdeuXRtdZQ5EyXHc1QwAgD8b0rWdJl/UU5J0/1srtbrAf+elAACaR0CU5sjISL3xxhu68MIL1bNnT910003q37+/Pv/884BaST6e+gnaOyjNAAD4rXE/66rzeyaqus6rW2dnq4xZJAAQ1Ixuz26qfv36aeHChaZjtDj3oWFg+fspzQAA+CubzdJfRg3UL2b8V5v3Vuie15fr+bEZsizLdDQAQAsIiJXmUFFfmtmeDQCAf0uICtfzmRkKs1v6YEWh/vHVFtORAAAthNLsR+qvneKuZgAA/N/A1Hjdd2kfSdLjH6zR0q37DScCALQESrMfqT/TvLusWjV1XsNpAADA8dxwdmdd2r+j6rw+TZidraKKGtORAADNjNLsR9pGhcvpsMnnkwpLqkzHAQAAx2FZlv50dX+lJUZpZ0mV7ng1V16vz3QsAEAzojT7EcuyDg8DY4s2AAABIdrp0AuZg+QKs+mLdXs089MNpiMBAJoRpdnPcK4ZAIDA0zMpRo9d2U+SNP3jdfrv+r2GEwEAmgul2c8wQRsAgMB09aAUjflJqnw+aeKcHI5aAUCQoDT7mWTuagYAIGA9eNnp6tMxVvsqanTbK9mq9TDYEwACHaXZz9RP0C4ooTQDABBoXGF2vXBdhmJcDn27Zb+e/M9a05EAAKeI0uxn3Kw0AwAQ0Dq3jdKT1wyQJL30xSb9Z1Wh4UQAgFNBafYz35+e7fNxZQUAAIFoeN8k3XzeaZKk389bpq37KgwnAgCcLEqzn0mKc8mypOo6r/ZV1JiOAwAATtLdw3vpjM4JKquq0/isbFXVekxHAgCcBEqznwl32NQ+ximJCdoAAASyMLtNM8dmqG1UuFYVlOrhd1ebjgQAOAmUZj/EuWYAAIJDUpxLz45Ol2VJryzZpjeyd5iOBAA4QZRmP5T8vXPNAAAgsJ3bvZ3uuLCHJOneN1dqbWGZ4UQAgBNBafZD9ddOUZoBAAgOt13QTT/tkagDtR6Ny1qq8uo605EAAE1EafZD9duzOdMMAEBwsNksPXPtQHWMc2nTngpNfWMFt2QAQICgNPshN9uzAQAIOm2iwjVzbIYcNkvvLivQ//tmq+lIAIAmoDT7oWQGgQEAEJQGdU7Q1BG9JUmPvLdauduLzQYCABwXpdkP1Z9p3l9Zq8oazjwBABBM/uecLrqkb5JqPT7dmpWt/RU1piMBAI6B0uyHYl1hinE6JHGuGQCAYGNZlv50TX91aRup/OIDunNurrxezjcDgL+iNPupwxO0qwwnAQAAzS3WFaZZmYPkdNj06do9euHzjaYjAQAaQWn2U5xrBgAguPVJjtUjV/SVJD390Vp9vXGv4UQAgKOhNPsprp0CACD4jTozVSMHpcjrk25/JVe7S9lhBgD+htLsp5K5dgoAgJDwxyv6qldSjPaWV2vCKzmq83hNRwIAfA+l2U8dPtNMaQYAIJhFhNv1wnWDFO10aMnmIj29YJ3pSACA76E0+yl3vEsSZ5oBAAgFp7WL0p+v6S9JeuGzjfp49S7DiQAA9SjNfsodHylJKiytkodrKAAACHoj+nXUr8/pIkm6c26uthdVmg0EAJBEafZb7WOcCrNb8nh92sVQEAAAQsLUS3orvVO8SqvqND4rW9V1HtORACDkUZr9lM1mKSnu4BZtJmgDhxUVFSkzM1OxsbGKj4/XTTfdpPLy8uO+btGiRbrgggsUFRWl2NhY/fSnP9WBA/z/FgD/Eu6w6fmxGUqIDNOK/BI98t5q05EAIORRmv2YmwnawI9kZmZq1apVWrBggd577z198cUX+u1vf3vM1yxatEjDhw/XRRddpCVLlujbb7/VhAkTZLPxLRCA/0mOj9D0awfKsqSXv9mmt3PzTUcCgJDmMB0AjePaKeBIa9as0fz58/Xtt9/qjDPOkCTNmDFDI0aM0FNPPaXk5OSjvm7SpEm6/fbbNWXKlIaP9ezZs1UyA8DJGNqzvW47v5ueW7hBU99YodOTY9WtfYzpWAAQklhm8WMp9aWZCdqApIMrxvHx8Q2FWZKGDRsmm82mxYsXH/U1u3fv1uLFi9W+fXsNGTJEHTp00M9+9jP997//Pebnqq6uVmlp6REPAGhNE4f10Dnd2qqyxqPfvZytiuo605EAICRRmv1Y/UozZ5qBgwoLC9W+ffsjPuZwONSmTRsVFhYe9TWbNm2SJD300EO6+eabNX/+fGVkZOjCCy/U+vXrG/1c06ZNU1xcXMMjNTW1+b4QAGgCu83Ss6PT1SHWqQ27y3Xvmyvk83GjBgC0NkqzH3MnsD0boWHKlCmyLOuYj7y8vJP6s71eryTplltu0a9//Wulp6dr+vTp6tmzp/7+9783+rqpU6eqpKSk4bF9+/aT+vwAcCraRTs1c2yG7DZLb+UWaPaSbaYjAUDI4UyzH0v+3vZsn88ny7IMJwJaxuTJk3XjjTce8zlpaWlKSkrS7t27j/h4XV2dioqKlJSUdNTXdezYUZLUp0+fIz7eu3dvbdvW+JtPp9Mpp9PZhPQA0LLO7NJGU4b30mMfrNHD76xWf3e8+qXEmY4FACGD0uzH6qdnV9R4VHqgTnGRYYYTAS0jMTFRiYmJx33e2WefreLiYi1dulSDBg2SJC1cuFBer1eDBw8+6mu6dOmi5ORkrV279oiPr1u3TpdccsmphweAVvCb807Tt1uK9NHqXRo/e6nem3Ae7wsAoJWwPduPucLsahsVLokt2oB0cHV4+PDhuvnmm7VkyRJ99dVXmjBhgkaPHt0wOTs/P1+9evXSkiVLJEmWZemuu+7Sc889p9dee00bNmzQ/fffr7y8PN10000mvxwAaDLLsvTkyAHq1CZS24sOaPK8XHm9nG8GgNZAafZznGsGjpSVlaVevXrpwgsv1IgRI3TuuefqpZdeavj92tparV27VpWVlQ0fu+OOOzR16lRNmjRJAwYM0CeffKIFCxaoa9euJr4EADgpcRFhmpWZoXCHTR+v2a2XvtxkOhIAhATLF0JjGEtLSxUXF6eSkhLFxsaajtMkv/t/SzV/VaEeuqyPbjznNNNxmkUg/j0A/HcLwF+8smSbpr6xQnabpdm/GazBaW1NRwKAgHMi7+1YafZz9SvNBSVVhpMAAAB/MPrMVF2V7pbH69Ntr+RoT1m16UgAENQozX7u+xO0AQAALMvSo7/sqx4dorW7rFq3v5IjD+ebAaDFUJr9XP0Ebc40AwCAepHhDr1w3SBFhdu1aNM+TV+wznQkAAhalGY/R2kGAABH0zUxWk9c3V+SNPPTDfp07e7jvAIAcDIozX6u/kzznrJqVdd5DKcBAAD+5LIByfrV2Z0lSZNezeWH7ADQAijNfi4hMkyusIN/TTuLGQYGAACO9IdLe2tASpyKK2s1PitbNXVe05EAIKhQmv2cZVkNW7QL+OkxAAD4AafDruczMxQXEaZl24v1+AdrTEcCgKBCaQ4A7oRISdIOSjMAADiKlIRITb92gCTpn19v0bvLCgwnAoDgQWkOAO54lyRWmgEAQOMu6NVBt57fVZI05fXl2rin3HAiAAgOlOYA4OauZgAA0ASThvXQWWltVFHj0fiXs3WghiGiAHCqKM0BILn+THMJpRkAADTOYbfpuTHpSoxxau2uMt371gr5fD7TsQAgoFGaAwArzQAAoKnax7g0Y0y6bJb0Rna+Xv12u+lIABDQKM0B4PBKc5W8Xn5aDAAAju2stLa66+JekqQH3lmlVQUlhhMBQOCiNAeApDiXbJZUU+fV3opq03EAAEAAuOWnaRrWu71q6rwan5Wt0qpa05EAICBRmgNAmN2mDrH1E7SrDKcBAACBwGaz9PTIgUpJiNDWfZW6a94yzjcDwEmgNAcIzjUDAIATFRcZplmZGQq32/SfVbv0f//dbDoSAAQcSnOAaDjXzF3NAADgBPRPidf9l/WRJD3xYZ6+21JkOBEABBZKc4BwJxxaaaY0AwCAE3Td4E66YmCy6rw+TZido33lzEgBgKaiNAeI+pXmHWzPBgAAJ8iyLD3+y37q1j5ahaVVuuPVXHm4kQMAmoTSHCBS2J4NAABOQZTToRcyMxQRZteX6/fquU/Wm44EAAGB0hwg6lea2Z4NAABOVvcOMZp2VT9J0nML1+uLdXsMJwIA/0dpDhDJ8QevnCo5UKvy6jrDaQAAQKC6Mt2tzMGd5PNJE+fksIsNAI6D0hwgYlxhinU5JLFFGwAAnJr7f9FHfd2x2l9Zqwmzs1Xr8ZqOBAB+i9IcQNwJkZLYog0AAE6NK8yuFzIHKdblUPa2Yj3xYZ7pSADgtyjNAcRdf66ZCdoAAOAUpbaJ1NOjBkqS/u+/m/Xhip1mAwGAn6I0BxD3oXPNbM8GAADN4ed9OuiWn6VJku5+bbk2760wnAgA/M8Jl+Zf/epX+uKLL1oiC47DncAEbQAA0LzuuqinfnJaG5VV12ncy0tVVesxHQkA/MoJl+aSkhINGzZM3bt31+OPP678/PyWyIWjSOauZviZCy64QA8//PCPPr5//35dcMEFBhIBAE6Uw27TzDHpahcdrrzCMj349irTkQDAr5xwaX7rrbeUn5+vcePG6dVXX1WXLl10ySWX6LXXXlNtbW1LZMQhnGmGv/nss880c+ZMXXnllaqoOLylr6amRp9//rnBZACAE9E+1qXnxqTLZkmvfrdd877bbjoSAPiNkzrTnJiYqDvvvFPLli3T4sWL1a1bN11//fVKTk7WpEmTtH79+ubOCR0uzYWlVarjagj4iY8//liFhYU666yztGXLFtNxAAAnaUjXdrrz5z0kSfe/vVJrdpYaTgQA/uGUBoHt3LlTCxYs0IIFC2S32zVixAitWLFCffr00fTp05srIw5pF+1UuN0mr+9gcQb8QceOHfX555+rX79+OvPMM/XZZ5+ZjgQAOEnjh3bT0J6Jqqr1anxWtsqq2EUIACdcmmtra/X666/rF7/4hTp37qx58+bpjjvuUEFBgf71r3/p448/1ty5c/XHP/6xJfKGNJvNUseGCdqUZphnWZYkyel0avbs2Zo4caKGDx+uWbNmGU4GADgZNpul6aMGyh0foc17K3TP68vl8/lMxwIAoxwn+oKOHTvK6/VqzJgxWrJkiQYOHPij55x//vmKj49vhnj4IXd8hLbuq1R+caWkNqbjIMT98I3Ufffdp969e+tXv/qVoUQAgFOVEBWumWPTNeqvi/TBikL98+st+vU5p5mOBQDGnHBpnj59ukaOHCmXy9Xoc+Lj47V58+ZTCoajOzxBm5VmmLd582YlJiYe8bGrr75avXr10nfffWcoFQDgVKV3StC9I3rroXdX67H312hAarwyOiWYjgUARpzw9uzrr7/+mIUZLat+GNgOJmjDD3Tu3Llhi/b3nX766aw2A0CA+9WQLrq0f0fVeX2akJWtoooa05EAwIhTGgSG1ufmrmYAANAKLMvSn67ur7R2USooqdIdr+bK6+V8M4DQQ2kOMO6EQ3c1U5oBAEALi3Y6NOu6DLnCbPpi3R49/+kG05EAoNVRmgNM8vdWmplmCQAAWlqvpFg9emU/SdJfPl6nrzbsNZwIAFoXpTnAdIw7eJ68ssaj4kruTgQAAC3vmkEpGn1mqnw+aeKcHBWWMJAUQOigNAcYV5hd7aKdktiiDQAAWs9Dl5+uPh1jtbe8Rre9kq1aj9d0JABoFZTmAMS5ZgAA0NpcYXa9cF2GYpwOfbtlv576z1rTkQCgVVCaA5A7/uAW7XyunQIAAK2oc9soPTlygCTpr19s0n9WFRpOBAAtj9IcgLh2CgAAmDK8b5J+c+5pkqTfz1umbfsqDScCgJZFaQ5A9RO02Z4NAABMuOeSXhrUOUFlVXUal7VUVbUe05EAoMVQmgMQK80AAMCkMLtNM8emq01UuFYVlOrhd1ebjgQALYbSHIBYaQYAAKZ1jIvQs6MHyrKkV5Zs0xvZO0xHAoAWQWkOQCmHpmfvLa9hOxQAADDmvO6Jmnhhd0nSvW+u1LpdZYYTAUDzozQHoLiIMEWF2yWxRRsAAJh12wXddV73djpQ69HvXl6q8uo605EAoFlRmgOQZVkNW7QLiqsMpwEAAKHMbrP0zLUDlRTr0qY9FZr6xgr5fD7TsQCg2QRcaa6urtbAgQNlWZZyc3NNxzHGnVB/rplrHgAAgFlto516PjNdDpuld5cV6OVvtpqOBADNJuBK8913363k5GTTMYw7PAyMlWYAAGDeoM5tNHVEb0nSH99brWXbi80GAoBmElCl+cMPP9RHH32kp556ynQU4+qvncrfz5lmAADgH/7nnC66pG+Saj0+jc/KVnFljelIAHDKAqY079q1SzfffLP+3//7f4qMjDQdxzjuagYAAP7Gsiz96Zr+6tI2UvnFB3Tn3GXyejnfDCCwBURp9vl8uvHGG/W73/1OZ5xxRpNfV11drdLS0iMeweLwmWZKMwAA8B+xrjDNyhwkp8OmhXm79cLnG01HAoBTYrQ0T5kyRZZlHfORl5enGTNmqKysTFOnTj2hP3/atGmKi4treKSmprbQV9L66s807yw5wE9wAQCAX+mTHKtHrugrSXr6o7VatHGf4UQAcPIsn8E7Afbs2aN9+479TTQtLU2jRo3Su+++K8uyGj7u8Xhkt9uVmZmpf/3rX0d9bXV1taqrqxt+XVpaqtTUVJWUlCg2NrZ5vghD6jxe9bx/vjxenxb/4UJ1iHWZjtRkpaWliouLC4q/B4QO/rsFgBP3+3nL9NrSHWoX7dQHt5+r9gH0fgVAcDuR93aOVsp0VImJiUpMTDzu85577jk9+uijDb8uKCjQxRdfrFdffVWDBw9u9HVOp1NOp7NZsvobh92mpFiX8osPKL/4QECVZgAAEBoeuaKvVuaXKK+wTLe9kqOs3wyWwx4QpwMBoEFAfNfq1KmT+vbt2/Do0aOHJKlr165KSUkxnM4cJmgDAAB/FhFu16zMDEU7HVq8uUhPL1hnOhIAnLCAKM04uuT4g6vLDAMDAAD+Ki0xWn+6ur8k6YXPNuqTNbsMJwKAExOQpblLly7y+XwaOHCg6ShG1U/Q5topAADgzy7t31E3DukiSbpz7jJtL6o0GwgATkBAlmYclMz2bAAAECD+MKK3BqbGq+RArW6dna3qOo/pSADQJJTmANZwppmVZgAA4OfCHTY9n5mh+MgwLd9RokffW2M6EgA0CaU5gFGaAQBAIHHHR+iZawfKsqT/981WvZ2bbzoSABwXpTmA1W/PLquqU2lVreE0AAAAxze0Z3vddn43SdLUN1Zow+4yw4kA4NgozQEsyulQfGSYJIaBAQCAwDFxWA+d062tKms8Gvdytipr6kxHAoBGUZoDXP0WbUozAAAIFHabpWdHp6tDrFPrd5frD2+skM/nMx0LAI6K0hzgmKANAAACUbtop2aOzZDdZumt3ALNXrLNdCQAOCpKc4A7PAysynASAACAE3Nmlza6Z3hPSdLD76zWih0lhhMBwI9RmgNcSgITtAEAQOC6+bw0/bxPB9V4vBo/e6lKKhluCsC/UJoDXDJnmgEAQACzLEtPjRyg1DYR2l50QJPnLeN8MwC/QmkOcG7ONAMAgAAXFxGmFzIHKdxh08drdumlLzaZjgQADSjNAa5+pXlXWZVqPV7DaQAAAE5OX3ecHrrsdEnSn/+zVks2FxlOBAAHUZoDXLvocIU7bPL5pMIShoEBAIDANeYnqfplulser08TZmdrT1m16UgAQGkOdJZlfW+CNlu0AQBA4LIsS4/9sq96dIjW7rJqTZyTI4+X880AzKI0BwHONQMAgGARGe7QrMwMRYbb9fXGfXrm43WmIwEIcZTmIJAc75LEBG0AABAcurWP0RNX95ckzVi4QZ+u3W04EYBQRmkOAu74SElszwYAAMHj8gHJuuHszpKkSa/m8j4HgDGU5iBQv9LMPyYAACCY3Htpbw1IiVNxZa1uzcpWTR03hQBofZTmIOBOYBAYAAAIPk6HXTPHZiguIky524v1+AdrTEcCEIIozUGgfhBYQfEB+XxMmAQAAMEjtU2kpl87QJL0z6+36P3lOw0nAhBqKM1BICnOJcuSqmq9KqqoMR0HAACgWV3Qq4PGD+0qSbr7tWXauKfccCIAoYTSHAScDrsSo52S2KINAACC050/76HBp7VRRY1H41/O1oEaj+lIAEIEpTlI1J9r5topAAAQjBx2m2aMTVdijFNrd5XpvrdWciwNQKugNAeJ5EPnmnfspzQDAIDg1D7GpedGp8tmSa9n79Dc77abjgQgBFCag0RKwzCwKsNJAAAAWs7ZXdvq9xf3lCQ98PYqrSooMZwIQLCjNAeJ+pXm/OJKw0kAAABa1u9+2lUX9mqv6jqvxmdlq7Sq1nQkAEGM0hwk3Kw0AwCAEGGzWXp61AC54yO0dV+l7p63nPPNAFoMpTlIHF5p5kwzAAAIfvGR4ZqVmaFwu03zVxXq//672XQkAEGK0hwk6qdnF1XUcAUDAAAICQNS43X/L3pLkp74ME9LtxYZTgQgGFGag0RcRJhinA5JrDYDAIDQcd1ZnXX5gGTVeX26NStH+8qrTUcCEGQozUEkOZ67mgEAQGixLEvTruqnrolRKiyt0h2v5srj5XwzgOZDaQ4i9Vu0WWkGAAChJMrp0AvXDVJEmF1frt+rGQvXm44EIIhQmoNIcrxLEivNAAAg9PToEKPHr+orSXr2k/X6Yt0ew4kABAtKcxBxx0dKkvL3U5oBAEDo+WV6isYO7iSfT7rj1VztLOE9EYBTR2kOIvUrzWzPBgAAoeqBX/RRX3esiipqNGF2jmo9XtORAAQ4SnMQSeFMMwAACHGuMLtmjR2kGJdDS7fu158+zDMdCUCAozQHkfrp2YUlVUyNBAAAIatT20g9PXKAJOlv/92s+St3Gk4EIJBRmoNI+xiXHDZLdV6fdpdVmY4DAABgzEWnJ+mWn6ZJku6at1xb9lYYTgQgUFGag4jdZikp7tC5ZoaBAQCAEPf7i3vqzC4JKquu07isbFXVekxHAhCAKM1Bxh3PuWYAAABJCrPbNHNshtpFh2vNzlI9+PYq05EABCBKc5ChNAMAABzWIdalZ0eny2ZJr363XfO+2246EoAAQ2kOMu5DE7QLKM0AAACSpHO6tdOkYT0kSfe/vVJ5haWGEwEIJJTmIFM/QZszzQhWRUVFyszMVGxsrOLj43XTTTepvLz8mK8pLCzU9ddfr6SkJEVFRSkjI0Ovv/56KyUGAPiDW8/vpqE9E1VV69W4l7NVVlVrOhKAAEFpDjL127MLipmejeCUmZmpVatWacGCBXrvvff0xRdf6Le//e0xX3PDDTdo7dq1euedd7RixQpdddVVGjVqlHJyclopNQDANJvN0vRRA5Uc59LmvRWa8voK+Xxc0Qng+CjNQSb5e2ea+YcAwWbNmjWaP3++/va3v2nw4ME699xzNWPGDM2ZM0cFBQWNvu7rr7/Wbbfdpp/85CdKS0vTfffdp/j4eC1durQV0wMATEuICtfMzAyF2S29v2Kn/vX1FtORAAQASnOQqV9pLq+uU2lVneE0QPNatGiR4uPjdcYZZzR8bNiwYbLZbFq8eHGjrxsyZIheffVVFRUVyev1as6cOaqqqtLQoUMbfU11dbVKS0uPeAAAAl9GpwT9YURvSdJjH6xRzrb9hhMB8HeU5iATEW5Xm6hwSZxrRvApLCxU+/btj/iYw+FQmzZtVFhY2Ojr5s6dq9raWrVt21ZOp1O33HKL3nzzTXXr1q3R10ybNk1xcXENj9TU1Gb7OgAAZt04pIsu7ddRtR6fbs3K1v6KGtORAPgxSnMQOnyumdKMwDBlyhRZlnXMR15e3kn/+ffff7+Ki4v18ccf67vvvtOdd96pUaNGacWKFY2+ZurUqSopKWl4bN/OFSUAECwsy9ITV/fTae2iVFBSpUlzc+X1cqwNwNE5TAdA80uOd2lFfgl3NSNgTJ48WTfeeOMxn5OWlqakpCTt3r37iI/X1dWpqKhISUlJR33dxo0bNXPmTK1cuVKnn366JGnAgAH68ssv9fzzz+vFF1886uucTqecTueJfzEAgIAQ4wrTC9dl6Mrnv9Jna/do1mcbNOGC7qZjAfBDlOYg5I6PlMRKMwJHYmKiEhMTj/u8s88+W8XFxVq6dKkGDRokSVq4cKG8Xq8GDx581NdUVlZKkmy2IzfW2O12eb3eU0wOAAhkvZJi9cgVfXXXa8v1lwXrlN4pQed0a2c6FgA/w/bsIJQc75Ik7aA0I8j07t1bw4cP180336wlS5boq6++0oQJEzR69GglJydLkvLz89WrVy8tWbJEktSrVy9169ZNt9xyi5YsWaKNGzfq6aef1oIFC3TllVca/GoAAP5g5BmpuvaMVHl90sQ5OdpVyrWdAI5EaQ5CKQmcaUbwysrKUq9evXThhRdqxIgROvfcc/XSSy81/H5tba3Wrl3bsMIcFhamDz74QImJibrsssvUv39//fvf/9a//vUvjRgxwtSXAQDwIw9fcbp6d4zV3vIaTZidrVoPO5EAHMb27CBUvz2b6dkIRm3atNHs2bMb/f0uXbr86I7y7t276/XXX2/paACAAOUKs2tWZoYun/Fffbtlv576z1pNPXQtFQCw0hyE6rdn7y6rVnWdx3AaAAAA/3dauyg9ObK/JOmvX2zSR6sav8oQQGihNAehNlHhcoUd/KstLOFcDgAAQFMM79tRN517miRp8rxl2rav0nAiAP6A0hyELMtS8qG7mrl2CgAAoOmmXNJLgzonqKyqTuNnL1VVLbv2gFBHaQ5S7vrSzLlmAACAJguz2zRzbLraRIVrZX6p/vjeatORABhGaQ5SblaaAQAATkrHuAg9c+1AWZY0e/E2vZmzw3QkAAZRmoNUfWnm2ikAAIAT99Meibr9gu6SpD+8sVLrdpUZTgTAFEpzkOJMMwAAwKm5/cLuOq97Ox2o9Wjcy0tVUV1nOhIAAyjNQcqdUL/SzPRsAACAk2G3WXrm2oFKinVp454KTXljhXw+n+lYAFoZpTlIff9Ms9fLN3cAAICT0TbaqZlj0+WwWXp3WYFe/mar6UgAWhmlOUglxblkWVJNnVf7KmpMxwEAAAhYZ3RpoymX9JIkPfLeGi3bXmw2EIBWRWkOUmF2mzrEuCRxrhkAAOBU3XTuabr49A6q8Xg1PitbxZUsSgChgtIcxA6fa6Y0AwAAnArLsvTkyAHq3DZS+cUHNHnuMo7AASGC0hzEGiZo76c0AwAAnKpYV5hmZWYo3GHTJ3m79eIXG01HAtAKKM1BzM21UwAAAM3q9OQ4PXLF6ZKkp/6zVos27jOcCEBLozQHMXc8Z5oBAACa26gzUnV1Roq8Pum2V3K0u4wrPoFgRmkOYpxpBgAAaH6WZenRK/uqV1KM9pZX6/ZXclTn8ZqOBaCFUJqDWDLbswEAAFpERLhdz2dmKCrcrm82FekvC9aZjgSghVCag1j9mebiylpVVNcZTgMAABBcuiZG60/X9Jckzfpsoxbm7TKcCEBLoDQHsRhXmGJcDkls0QYAAGgJv+ifrBuHdJEkTXp1mbYXVZoNBKDZUZqDHBO0AQAAWtYfRvTWwNR4lRyo1a2zs1Vd5zEdCUAzojQHuZQESjMAAEBLCnfY9HxmhuIjw7R8R4kee3+N6UgAmhGlOcjVDwNjezYAAEDLccdHaPq1AyVJ/160Ve8sKzAbCECzoTQHuYbt2fspzQAAAC3p/J7tNeH8bpKkKa8v14bdZYYTAWgOlOYgx7VTAAAArWfSz3toSNe2qqzxaNzL2aqs4QYTINBRmoOcO6F+e3aV4SQAAADBz26z9OzodLWPcWr97nLd++ZK+Xw+07EAnAJKc5Cr355dWFqlOo/XcBoAAIDglxjj1Iwx6bLbLL2Zk69Xlmw3HQnAKaA0B7nEaKfC7JY8Xp92lVWbjgMAABASBqe11d0X95QkPfTuKq3MLzGcCMDJojQHOZvNUsc4hoEBAAC0tt/+NE3DendQTZ1X47KWquRArelIAE4CpTkEuLl2CgAAoNVZlqWnRw5QapsIbS86oN/PW8b5ZiAAUZpDABO0AQAAzIiLDNOssYMUbrdpwepd+t8vN5mOBOAEUZpDQP0EbUozAABA6+uXEqcHL+8jSfrT/LVasrnIcCIAJ4LSHALc8S5JnGkGAAAwZexPOunKgcnyeH2aMDtbexjQCgQMSnMIcMdHSuJMMwAAgCmWZemxX/ZT9/bR2l1WrYlzcuTxcr4ZCASU5hCQXL/SXHyA4RMAAACGRDkdeuG6DEWG2/X1xn169uN1piMBaAJKcwioHwRWWePhqgMAAACDurWP0bSr+kmSnlu4QZ+t3W04EYDjoTSHAFeYXe2iwyVJOzjXDAAAYNQVA9267qxOkqRJr+YyrBXwcwFTmrt06SLLso54PPHEE6ZjBQzuagYAAPAf9/+ij/qnxGl/Za1uzcpWTZ3XdCQAjQiY0ixJf/zjH7Vz586Gx2233WY6UsDgrmYAAAD/4XTY9fzYDMW6HMrdXqxpH64xHQlAIwKqNMfExCgpKanhERUVZTpSwGClGQAAwL+ktonUX0YNlCT946sten/5TrOBABxVQJXmJ554Qm3btlV6erqefPJJ1dXVHfP51dXVKi0tPeIRqlhpBgAA8D/D+nTQuKFdJUn3vL5cm/aUG04E4IcCpjTffvvtmjNnjj799FPdcsstevzxx3X33Xcf8zXTpk1TXFxcwyM1NbWV0vofd0J9aa4ynAQAAADfN/nnPTT4tDYqr67T+KxsHajxmI4E4HuMluYpU6b8aLjXDx95eXmSpDvvvFNDhw5V//799bvf/U5PP/20ZsyYoerq6kb//KlTp6qkpKThsX379tb60vxO/fbsfKZnAwAA+BWH3aYZY9LVLtqpvMIyPfD2StORAHyPw+Qnnzx5sm688cZjPictLe2oHx88eLDq6uq0ZcsW9ezZ86jPcTqdcjqdpxozKNSX5r3l1aqq9cgVZjecCAAAAPXax7o0Y0y6Mv/2jeYt3aEzu7TRqDNDd5ck4E+MlubExEQlJiae1Gtzc3Nls9nUvn37Zk4VnOIjwxQZbldljUc7S6p0WjuGqAEAAPiTs7u21eSLeurJ/6zV/W+vVF93nPokx5qOBYS8gDjTvGjRIj3zzDNatmyZNm3apKysLE2aNEnXXXedEhISTMcLCJZlHR4GxhZtAAAAvzTuZ111fs9EVdd5NT5rqUqrak1HAkJeQJRmp9OpOXPm6Gc/+5lOP/10PfbYY5o0aZJeeukl09ECCtdOAQAA+DebzdL0awfKHR+hLfsqdfe85fL5fKZjASHN6PbspsrIyNA333xjOkbAq19p3kFpBgAA8FvxkeF6PjNDI1/8WvNXFervX23RTeeeZjoWELICYqUZzSMlgZVmAACAQDAwNV73/6KPJGnaB2u0dGuR4URA6KI0h5DkeJckzjQDAAAEguvP6qzLBiSrzuvThNk52lfe+FWrAFoOpTmEuOMjJUkFJZRmAAAAf2dZlqZd1U9piVHaWVKlO17NlcfL+WagtVGaQ0j9SvPO4ip5+YYLAADg96KdDr143SBFhNn15fq9mrlwg+lIQMihNIeQpFiXbJZU4/FqL9t7AAAAAkKPDjF67Jd9JUnPfLJOX67fYzgREFoozSHEYbcpKfbgajMTtAEAAALHVRkpGvOTTvL5pIlzcrWT43ZAq6E0hxg3E7QBAAAC0oOX9dHpybEqqqjRhNk5qvV4TUcCQgKlOcTU39XMBG0AAIDA4gqza1ZmhmJcDi3dul9/+jDPdCQgJFCaQ4w7npVmAACAQNW5bZSeGjlAkvS3/27W/JU7DScCgh+lOcQ0rDRTmgEAAALSxacn6bc/TZMk3TVvubbsrTCcCAhulOYQU3+mOb+4ynASAAAAnKy7Lu6pM7skqKy6TuOzslVV6zEdCQhalOYQ424401xpOAkAAABOVpjdphljMtQ2Klyrd5bqoXdWmY4EBC1Kc4ip355dWlWnsqpaw2kAAABwspLiXHp2dLosS5rz7Xa9tnSH6UhAUKI0h5hop0NxEWGSpAK2aAMAAAS0c7u306RhPSRJ9721QnmFpYYTAcGH0hyCmKANAAAQPCac300/7ZGoqlqvxr+crfLqOtORgKBCaQ5B9Vu0d1CaAQAAAp7NZumZaweqY5xLm/ZW6J7Xl8vn85mOBQQNSnMISqmfoL2f0gwAABAM2kSF6/nMDDlslt5fvlP/XrTVdCQgaFCaQxDbswEAAIJPRqcE/WFEb0nSo++vVs62/YYTAcGB0hyC6rdn51OaAQAAgsqvz+miEf2SVOvx6dasbO2vqDEdCQh4lOYQ5E5gpRkAACAYWZalP13dX6e1i1JBSZUmzc2V18v5ZuBUUJpDUHK8S5K0q7RKtR6v4TQAAABoTjGuMM3KzJDTYdNna/do1mcbTEcCAhqlOQS1i3Iq3GGT1ycVlnBXMwAAQLDp3TFWj1zZV5L0lwXr9PWGvYYTAYGL0hyCbDZLyXEHV5s51wwAABCcRp2RqlFnpMjrk26fk6NdpSyWACeD0hyiONcMAAAQ/P54RV/1SorR3vIa3TY7R3UczQNOGKU5RCXHcVczAABAsHOF2fXCdYMU7XRoyZYiPfnRWtORgIBDaQ5RDSvNJZRmAACAYHZauyg9eU1/SdJfP9+kBat3GU4EBBZKc4iqv6t5ByvNAAAAQe+Sfh31P+ecJkmaPDdX24sqDScCAgelOUSlxHOmGQAAIJRMuaSX0jvFq7SqTuOylqqq1mM6EhAQKM0hqn6lOb/4gHw+LrwHAAAIduEOm54fm6GEyDCtzC/VI++tNh0JCAiU5hDVMf7glVNVtV7tr6w1nAYAAACtITk+Qs+MTpdlSVmLt+mtnHzTkQC/R2kOUU6HXYkxTklM0AYAAAglP+uRqNsu6C5JmvrGCq3fVWY4EeDfKM0hzP29LdoAAAAIHRMv7K5zu7XTgVqPxmVlq6K6znQkwG9RmkMYpRkAACA02W2Wnhk9UB1indqwu1xT31jBnBugEZTmENZwVzOlGQAAIOS0i3bq+bEZstssvbOsQC8v3mY6EuCXKM0hLDnu4DAwzjQDAACEpjO6tNGU4b0kSY+8u1rLdxSbDQT4IUpzCHMnREqSCkoozQAAAKHqN+edpov6dFCNx6vxWdkq4WYV4AiU5hCWHM9KMwAAQKizLEtPjhygTm0itWP/Ad05N1deL+ebgXqU5hCWEn9wpXlfRY0O1HgMpwEAAIApcRFhmpWZoXCHTZ/k7dZfv9hkOhLgNyjNISw2wqFop0MSW7QBAABCXV93nB6+/HRJ0lMfrdU3m/YZTgT4B0pzCLMsiy3aAAAAaDD6zFRdleGWx+vTba/kaHdZlelIgHGU5hBXf1cz104BAADAsiw9emVf9egQrT1l1br9lRzVebymYwFGUZpDXPKh0pxPaQYAAICkyHCHXrhukKLC7fpmU5Gmf7zOdCTAKEpziHMnUJoBAABwpK6J0Xri6v6SpOc/3aiFebsMJwLMoTSHuPrt2ZxpBgAAwPddNiBZvzq7syRp0qvLtGN/peFEgBmU5hDXcKaZ6dkAAAD4gT9c2lsDUuNVcqBWt2Zlq7qOa0oReijNIa7+TPPO4ip5uMQeAAAA3+N02PX82HTFRYRp2Y4SPf7+GtORgFZHaQ5xHWJdstss1Xl92lNWbToOAAAA/ExKQqSeuXagJOlfi7bq3WUFZgMBrYzSHOLsNktJsYfuai7mnAoAAAB+7Pxe7XXr+V0lSVNeX64Nu8sNJwJaD6UZ35ugzeX1AAAAOLpJw3ro7LS2qqjxaHzWUlXW1JmOBLQKSjOYoA0AAIDjcthtenbMQCXGOLVuV7nue3OlfD5m4iD4UZpxeII2dzUDAADgGNrHuDRzTLrsNktv5ORrzrfbTUcCWhylGQ0TtPMpzQAAADiOwWlt9fuLekqSHnxnlVbmlxhOBLQsSjMazjSz0gwAAICmuOWnaRrWu71q6rwan5WtkgO1piMBLYbSDLnjD03P5kwzAAAAmsBms/T0yIFKSYjQtqJK3TVvGeebEbQozWjYnl1WXafSKn5KCAAAgOOLiwzTrMwMhdtt+mj1Lv3ty82mIwEtgtIMRYY7lBAZJonVZvi/xx57TEOGDFFkZKTi4+Ob9Bqfz6cHHnhAHTt2VEREhIYNG6b169e3bFAAAEJA/5R4PXBZH0nSE/Pz9O2WIsOJgOZHaYak793VTGmGn6upqdHIkSM1bty4Jr/mz3/+s5577jm9+OKLWrx4saKionTxxRerqoq7yQEAOFWZgzvpioHJ8nh9mjA7W3vLq01HApoVpRmSpOS4Q8PASijN8G8PP/ywJk2apH79+jXp+T6fT88884zuu+8+XXHFFerfv7/+/e9/q6CgQG+99VbLhgUAIARYlqXHf9lP3dpHa1dptSbOyZHHy/lmBA9KMySx0ozgtXnzZhUWFmrYsGENH4uLi9PgwYO1aNGiRl9XXV2t0tLSIx4AAODoopwOvZCZoYgwu77asE/PfsIxKAQPSjMkSW7uakaQKiwslCR16NDhiI936NCh4feOZtq0aYqLi2t4pKamtmhOAAACXfcOMXri6oM7wWYsXK/P1+0xnAhoHpRmSKI0w6wpU6bIsqxjPvLy8lo109SpU1VSUtLw2L59e6t+fgAAAtEVA93KHNxJPp90x5wcFfDeEkHAYToA/EP99my+scGEyZMn68Ybbzzmc9LS0k7qz05KSpIk7dq1Sx07dmz4+K5duzRw4MBGX+d0OuV0Ok/qcwIAEMru/0UfLd9RohX5Jbp1drZe/e3ZCnewVofARWmGpMN3Ne8uq1ZNnZdvbGhViYmJSkxMbJE/+7TTTlNSUpI++eSThpJcWlqqxYsXn9AEbgAA0DSuMLtmZWbo0ue+VM62Yj3xYV7DtVRAIKIZQZLUNipcTodNPp9UWMI1PPBf27ZtU25urrZt2yaPx6Pc3Fzl5uaqvLy84Tm9evXSm2++KengRM877rhDjz76qN555x2tWLFCN9xwg5KTk3XllVca+ioAAAhuqW0i9fSogZKkv3+1WR+s2Gk2EHAKWGmGpIPFwh0foU17K7SjuFKd2kaajgQc1QMPPKB//etfDb9OT0+XJH366acaOnSoJGnt2rUqKSlpeM7dd9+tiooK/fa3v1VxcbHOPfdczZ8/Xy6Xq1WzAwAQSn7ep4Nu+Vma/vr5Jt392nL1SopRWmK06VjACbN8Pl/IXKJWWlqquLg4lZSUKDY21nQcv3P9/y3Wl+v36qmRA3TNoJQW+zz8PSAQ8d8tAAAnrs7j1di/LdaSzUXqlRSjN8efo4hwu+lYwAm9t2N7Nhokx3FXMwAAAJqPw27TzDHpahftVF5hmR54e6XpSMAJozSjARO0AQAA0Nzax7r03JiBslnSvKU7NPdbrnFEYKE0o0EydzUDAACgBQzp2k6TL+opSbr/7ZVaXVBqOBHQdJRmNHDHs9IMAACAljHuZ111fs9EVdd5NT5rqUqrak1HApqE0owG7u+tNIfQfDgAAAC0ApvN0l9GDZQ7PkJb9lXqnteW854TAYHSjAZJcS5ZllRd59W+ihrTcQAAABBkEqLC9XxmhsLslj5cWah/fLXFdCTguCjNaBDusKl9jFMSE7QBAADQMgamxuu+S/tIkh7/YI2Wbt1vOBFwbJRmHIFzzQAAAGhpN5zdWZf276g6r08TZmeriF2O8GOUZhyBCdoAAABoaZZl6U9X91daYpR2llRp4pwcebycb4Z/ojTjCPV3Ne9gezYAAABaULTToRcyB8kVZtOX6/dq5sINpiMBR0VpxhHYng0AAIDW0jMpRo9d2U+S9Mwn6/Tf9XsNJwJ+jNKMI7jZng0AAIBWdPWgFI0+M1U+nzRxTo4KS6pMRwKOQGnGEZJZaQYAAEAre+jy09WnY6z2VdRowuxs1Xq8piMBDSjNOEL9meb9lbWqrKkznAYAAAChwBVm1wvXZSjG5dB3W/frz/PzTEcCGlCacYRYV5hinA5JrDYDAACg9XRuG6UnrxkgSfrfLzdr/spCw4mAgyjN+BEmaAMAAMCE4X2TdPN5p0mS7pq3TFv3VRhOBFCacRSHJ2gzhAEAAACt6+7hvXRG5wSVVddp3MvZqqr1mI6EEEdpxo8kN0zQrjScBAAAAKEmzG7TzLEZahsVrtU7S/Xwu6tMR0KIozTjR+q3Z7PSDAAAABOS4lx6dnS6LEt6Zcl2vb50h+lICGGUZvxIw0ozZ5oBAABgyLnd2+mOC3tIku59a4XyCksNJ0KoojTjR9wN27MpzQAAADDntgu66bzu7VRV69X4rGyVV3MlKlofpRk/Ul+aC0urVMfF8gAAADDEZrP0zLUD1THOpU17KnTP68vl8/lMx0KIoTTjR9rHOBVmt+Tx+rS7rNp0HAAAAISwttFOzRybIYfN0vvLd+rfi7aajoQQE1Cl+f3339fgwYMVERGhhIQEXXnllaYjBSWbzVJSnEsSW7QBAABg3qDOCZo6orck6dH3Vyt3e7HZQAgpAVOaX3/9dV1//fX69a9/rWXLlumrr77S2LFjTccKWofvaqY0AwAAwLz/OaeLLumbpFqPT7dmZWt/RY3pSAgRDtMBmqKurk4TJ07Uk08+qZtuuqnh43369DGYKrjVT9DewQRtAAAA+AHLsvSna/przc5SbdlXqTvn5ur/fnWmbDbLdDQEuYBYac7OzlZ+fr5sNpvS09PVsWNHXXLJJVq5cuUxX1ddXa3S0tIjHmiaFFaaAQAA4GdiXWGalTlITodNn67doxc+32g6EkJAQJTmTZs2SZIeeugh3XfffXrvvfeUkJCgoUOHqqioqNHXTZs2TXFxcQ2P1NTU1ooc8JK5dgoAAAB+qE9yrB65oq8k6emP1urrjXsNJ0KwM1qap0yZIsuyjvnIy8uT13vw2qN7771XV199tQYNGqR//OMfsixL8+bNa/TPnzp1qkpKShoe27dvb60vLeC5E1hpBgAAgH8adWaqRg5Kkdcn3f5KrnaXVpmOhCBm9Ezz5MmTdeONNx7zOWlpadq5c6ekI88wO51OpaWladu2bY2+1ul0yul0NkvWUNOw0rz/gHw+nyyLsyIAAADwH3+8oq9W5Jcor7BME17J0ezfDJbDHhAbaRFgjJbmxMREJSYmHvd5gwYNktPp1Nq1a3XuuedKkmpra7VlyxZ17ty5pWOGpPrp2RU1HpUcqFV8ZLjhRAAAAMBhEeF2zcrM0OUzv9KSzUV66qN1mnJJL9OxEIQC4kcxsbGx+t3vfqcHH3xQH330kdauXatx48ZJkkaOHGk4XXByhdnVNupgUeZcMwAAAPxRWmK0/nxNf0nSi59v1ILVuwwnQjAKiNIsSU8++aRGjx6t66+/Xmeeeaa2bt2qhQsXKiEhwXS0oFV/rjmfa6cAAADgp0b066hfn9NFkjR5bq62F1WaDYSgEzClOSwsTE899ZR27dql0tJSLViwQKeffrrpWEEtOY5hYAAAAPB/Uy/prfRO8SqtqtP4rGxV1XpMR0IQCZjSjNbXsNJMaQYAAIAfC3fYNHNshhIiw7Qiv0SPvr/adCQEEUozGlU/QbugmBH+AAAA8G/u+AhNv3agLEt6+Zttejs333QkBAlKMxpVP0F7ByvNAAAACABDe7bXbed3kyRNfWOF1u8qM5wIwYDSjEalJHCmGQAAAIFl4rAeOqdbW1XWeDQuK1sV1XWmIyHAUZrRqPrt2XvKqhmmAAAAgIBgt1l6dnS6OsQ6tWF3ue59c4V8Pp/pWAhglGY0KiEyTBFhdklSYQnnmgEAABAY2kU7NXNshuw2S2/lFihr8TbTkRDAKM1olGVZSo53SWKCNgAAAALLmV3a6J7hPSVJf3x3tVbsKDGcCIGK0oxjcidESqI0AwAAIPDcfF6aLurTQTUer8ZlLVVJZa3pSAhAlGYck7t+pXk/pRkAAACBxbIsPTlygDq1idSO/Qc0eV6uvF7ON+PEUJpxTO54JmgDAAAgcMVFhGlWZobCHTZ9vGa3Xvpyk+lICDCUZhxT/QRttmcDAAAgUPV1x+mhy06XJD35n7VavGmf4UQIJJRmHBMrzQAAAAgGY36SqqvS3fJ4fZrwSo52l3E7DJqG0oxjSm4ozVWc/wAAAEDAsixLj/6yr3p0iNaesmpNfCVXHt7fogkozTimpDiXbJZU4/Fqb0W16TgAAADASYsMd2hW5iBFhtu1aNM+TV+wznQkBABKM44pzG5Th1gmaAMAACA4dGsfrSeu7i9JmvnpBn2at9twIvg7SjOOy80wMAAAAASRywck64azO0uSJs3N1Y79lYYTwZ9RmnFcyQwDAwAAQJC599LeGpASp+LKWt06O0c1dV7TkeCnKM04LnfCoZVmtmcDAAAgSDgdds0cm6G4iDAt216sxz9YYzoS/BSlGcd1+K5mxvIDAAAgeKS2idT0awdIkv759Ra9u6zAcCL4I0ozjiuFM80AAAAIUhf06qDxQ7tKkqa8vlwb95QbTgR/Q2nGcXGmGQAAAMHszp/30FlpbVRR49G4l5eqsqbOdCT4EUozjis5/uCVUyUHalVezTcQAAAABBeH3abnxqQrMcapdbvKdd9bK+Xz+UzHgp+gNOO4YlxhinU5JLHaDAAAgODUPsalGWPSZbOkN7Lz9eq3201Hgp+gNKNJ3AmRkpigDQAAgOB1Vlpb/f7inpKkB95ZpZX5JYYTwR9QmtEkboaBAQAAIAT87qdddWGv9qqp8+rW2dkqOVBrOhIMozSjSdyHzjVTmgEAABDMbDZLT48aIHd8hLbuq9Rd85ZxvjnEUZrRJO4EJmgDAAAgNMRHhuuF6zIUbrfpo9W79H//3Ww6EgyiNKNJ6q+d4kwzAAAAQkH/lHjd/4vekqRpH+bpuy1FhhPBFEozmsTNXc0AAAAIMded1VmXD0iWx+vThNk52ltebToSDKA0o0nqS3NhaZVqPV7DaQAAAICWZ1mWpl3VT93aR6uwtEp3zMmVx8v55lBDaUaTtIt2Ktxuk9cn7SqtMh0HAAAAaBVRTodeyMxQRJhd/92wV899st50JLQySjOaxGaz1LF+gjbnmgEAABBCuneI0bSr+kmSnlu4Xp+v22M4EVoTpRlN1nCuuYTSDAAAgNByZbpbYwd3ks8n3TEnh1k/IYTSjCZjgjYAAABC2QO/6KO+7ljtr6zVhNnZqqlj1k8ooDSjyepXmvP5qRoAAABCkCvMrlljBynG5VD2tmI98WGe6UhoBZRmNNnh0swgMAAAAISmTm0j9ZdRAyVJf/9qsz5csdNsILQ4SjOazJ1Qvz270nASAAAAwJyf9+mgW36aJkm667Xl2ry3wnAitCRKM5qs/kxzQXGVfD7upwMAAEDo+v3FPfWTLm1UXl2ncS8vVVWtx3QktBBKM5qsY9zBK6cO1Hq0v7LWcBoAAADAnDC7TTPGpqtddLjyCsv0wNsrTUdCC6E0o8lcYXa1i3ZKEiP2AQAAEPI6xLr07Oh02Sxp7nc7NPe77aYjoQVQmnFC6s817+DaKQAAAEDndGunScN6SJLuf2ul1uwsNZwIzY3SjBPijj+4RZuVZgAAAOCgW8/vpqE9E1Vd59X4rGyVVXGUMZhQmvH/27vz+KjqQ+/j3zNJZoZAMmEJZGVVlrKYBC5eQMuj5ble8Qq0KiqIy6O1FfS6PT7g1tQNuJYqrQJWi9CXRXApXi3SooJcK2hVQjCyBNnXICAkYck283v+wATBDDCTmTmZmc/79Zo/HE/I9/gjx/nmd36/ExCe1QwAAACcyuGw9OzoPGV53Np64Kgm/uVLNs6NIZRmBOTkDtqUZgAAAKBe65ZOzRhboKQES4tLyjRnxTa7IyFEKM0ICDPNAAAAQOPyO7bWw8N7SZImL16vVdsP2ZwIoUBpRkCYaQYAAAD8u2lwZ13RN1N1PqM7Xy3St0dr7I6EJqI0IyA53+2efeBIDQ9wBwAAAE5jWZamXtVXXdu11N7yKt3zWrF8PtY3RzNKMwLiaZGkls4EScw2AwAAAI1JcSdp5g0Fcic59NHG/Xr+w012R0ITUJoREMuyGm7RZl0zAAAA0LieGal6clRfSdKzH2zUx18fsDkRgkVpRsCyW7OuGQAAADibq/vn6NoBuTJGunvBapWVV9kdCUGgNCNgDTPNhyjNAAAAwJk8NrK3emWm6uDRGt01v0i1Xp/dkRAgSjMCdvKxU/ymDAAAADgTd1KCZo0tUIorUZ9vO6TfLCm1OxICRGlGwE6W5mM2JwEAAACav87tWuo31/STJL340RYtWVtmcyIEgtKMgJ1c08xMMwAAAHAu/r1Ppm69qIsk6f++sUbbDx61ORHOFaUZAatf07y3/DjPnAMAAADO0aTLe6p/p9aqrKrT+HlFqqr12h0J54DSjIB1SHEpwWGp1mv0TWW13XEAAACAqJCU4NDzY/LVpqVTa/dU6LG/rrM7Es4BpRkBS0xwKCPVLYlnNQMAAACByPS00O+uy5NlSfM/26GFRbvsjoSzoDQjKCc3A6M0AwAAAIG4+Px03f2T8yVJD7/1lUrLKm1OhDOhNCMoWWknZpr3UJoBAACAgN116fm6+Px2Ol7r1R3zVulIdZ3dkeAHpRlBqd9Be/chSjMAAAAQqASHpenX5ikj1a0t+4/qwYUlMoZNdpsjSjOCUr+DNjPNAAAAQHDatnJpxth8JTos/XXNHr3y6Xa7I6ERlGYEhTXNAAAAQNP179RGky7vKUl6YtE6Fe88bG8g/AClGUGhNAMAAAChcetFXfTvvTNU6zWaMK9Ih4/V2B0J30NpRlDqb8+urKpTRVWtzWkAAACA6GVZlp6+pp86tU3W7sPHdd/ra+Tzsb65uaA0IygtXYlKS06SxLpmAAAAoKlS3UmaObZAzkSHlm34RrP+Z7PdkfAdSjOC1nCLNjtoAwAAAE3WO8ujJ0b2liT99r1Srdx8wOZEkCjNaAJ20AYAAABCa/SAXF1VkCOfkf5zfrG+qaiyO1LcozQjaPUzzbsozQAAAEBIWJalJ0f1Uc+MFB04Uq07569Wnddnd6y4RmlG0HJa188089svRM5TTz2lwYMHKzk5WWlpaWc9vra2VhMnTlTfvn3VsmVLZWVl6cYbb9SePXvCHxYAACAILZwJmjm2QK1cifps67f67fsb7Y4U1yjNCFpWw5rmYzYnQTypqanRNddcozvuuOOcjj927JiKior06KOPqqioSAsXLlRpaalGjBgR5qQAAADB65reSv91VT9J0qzlm7V0/T6bE8WvRLsDIHplpzHTjMh77LHHJElz5849p+M9Ho/ef//9U957/vnnNXDgQO3YsUMdO3YMdUQAAICQuKJfpj7f1llzV27Tva8V693/vFi5bZLtjhV3mGlG0OpnmvdVVqmmjnUWiB7l5eWyLOuMt3dXV1eroqLilBcAAECkPTS8l/Jy01RRVacJrxapus5rd6S4Q2lG0Nq1csqZ6JAx0j529UOUqKqq0sSJE3X99dcrNTXV73FTpkyRx+NpeOXm5kYwJQAAwAnORIdmjC1QWnKSvtxVricXrbc7UtyhNCNolmWd3EGbZzWjCSZNmiTLss742rBhQ5O/T21trUaPHi1jjGbNmnXGYx988EGVl5c3vHbu3Nnk7w8AABCM7LQWevbaPEnSK59u19vFu+0NFGdY04wmyU5roa0Hjmo3j51CE9x///26+eabz3hM165dm/Q96gvz9u3btWzZsjPOMkuSy+WSy+Vq0vcEAAAIlUt6tNddl56n55Zt0oMLS9Q7K1XntU+xO1ZcoDSjSbLS3JKkPZRmNEF6errS09PD9ufXF+avv/5aH374odq2bRu27wUAABAu9wzrrlXbD2nl5oP65Z+L9PaEIWrpotKFG7dno0my007s3reb27MRITt27FBxcbF27Nghr9er4uJiFRcX68iRIw3H9OzZU2+99ZakE4X56quv1hdffKF58+bJ6/WqrKxMZWVlqqmpses0AAAAApbgsPS76/LVPsWlTd8c0cNvlcgYY3esmEdpRpM0zDSXU5oRGb/61a+Un5+vwsJCHTlyRPn5+crPz9cXX3zRcExpaanKy8slSbt379Y777yjXbt2KS8vT5mZmQ2vlStX2nUaAAAAQUlPcen5MQVKcFj67+I9evWzHXZHinnM5aNJsluf2AiMmWZEyty5c8/6jObv/8a1c+fO/AYWAADElIFd2uj/XdZDU/62QY+9s079stPUN8djd6yYxUwzmqR+9+zdh49TTAAAAIAIuf3HXTWsVwfVeH0a/+oqlR+rtTtSzKI0o0kyPG5ZllRd59PBo6wPBQAAACLBsiz99poLlNumhXZ+e1z3v7GGSawwoTSjSVyJCUpvdeKxPOygDQAAAESOJzlJs8b2lzPRoQ/W79OLH22xO1JMojSjyVjXDAAAANijT7ZHhVf+SJL09JJS/XPLQZsTxR5KM5os63vrmgEAAABE1piBHfXT/Gx5fUZ3zV+t/ZXVdkeKKZRmNFkOpRkAAACwjWVZeuqnfXR++1b6prJady9YLa+P9c2hQmlGk9XPNLOmGQAAALBHsjNRs24oULIzQSs3H9T0DzbaHSlmUJrRZNnMNAMAAAC2O699iqb8rK8k6bllm/Rh6Tc2J4oNlGY02cmZ5iqbkwAAAADxbWRetsb9aydJ0r2vFTOxFQKUZjRZ/e7Z3x6t0bGaOpvTAAAAAPHtkf/opX45Hh0+Vqvx84pUU+ezO1JUi4rSvHz5clmW1ejr888/tzte3PO0SFKKK1ESs80AAACA3VyJCZoxpkCeFklas/OwJi9eb3ekqBYVpXnw4MHau3fvKa/bbrtNXbp00YABA+yOB/HYKQAAAKA5yW2TrGdGXyBJmrtymxZ9ucfmRNErKkqz0+lURkZGw6tt27Z6++23dcstt8iyLLvjQSdv0WYHbQAAAKB5+EmvDrrjf3WTJE1880tt3n/E5kTRKSpK8+neeecdHTx4ULfccssZj6uurlZFRcUpL4RHVppbkrT7EKUZAAAAaC7u/9/ddWGXNjpa49X4PxfpeI3X7khRJypL8+zZs3XZZZcpJyfnjMdNmTJFHo+n4ZWbmxuhhPEnOy1ZErdnAwAAAM1JYoJDz12fr3atXCrdV6lH/vsrGWPsjhVVbC3NkyZN8rvBV/1rw4YNp3zNrl27tGTJEt16661n/fMffPBBlZeXN7x27twZrlOJew0zzZRmAAAAoFlpn+rWc9fny2FJfynapde/oBcFItHOb37//ffr5ptvPuMxXbt2PeWf58yZo7Zt22rEiBFn/fNdLpdcLldTIuIc5Xy3ppnbswEAAIDmZ1C3trr/33roN0tK9ejba9Un26PeWR67Y0UFW0tzenq60tPTz/l4Y4zmzJmjG2+8UUlJSWFMhkDV755dVlElr88owcEGbQAAAEBzcsfQblq1/ZCWbfhG4+cV6a93XaRUN73qbKJqTfOyZcu0detW3XbbbXZHwWnap7iV6LDk9Rntq+BZzQAAAEBz43BYemb0BcpOa6HtB4/pgTfWsL75HERVaZ49e7YGDx6snj172h0Fp0lwWMrwnFjXzGOnAAAAgOYpLdmpmWMLlJRgacnafZr98Va7IzV7UVWaX331Va1YscLuGPAj+7tbtNkMDAAAAGi+LshN06P/8SNJ0tS/bdAX2761OVHzFlWlGc0bpRkAAACIDuP+tZOuvCBLdT6jO19drYNHqu2O1GxRmhEy2eygDQAAAEQFy7I05Wd91TW9pcoqqnTPa8Xy+ljf3BhKM0Kmfgdt1jQDAAAAzV8rV6JeuKG/WiQl6B9fH9Dvl35td6RmidKMkOH2bAAAACC6dO+Qoqd+2keS9PtlX+ujjfttTtT8UJoRMvUzzbsPHWfregAAACBK/KwgR9cP7ChjpHteK9becibBvo/SjJCpn2k+WuNVxfE6m9MAAAAAOFeFV/5IvbNS9e3RGk2YV6Rar8/uSM0GpRkh08KZoDYtnZK4RRsAAACIJu6kBM0a218p7kQV7TisqX/bYHekZoPSjJBiXTMAAAAQnTq2TdZvr7lAkjT74636+1d7bU7UPFCaEVJZaW5J7KANAAAARKN/652h23/cVZL0wBtfatuBozYnsh+lGSGVnZYsiZlmAAAAIFo9cFkP/Uvn1qqsrtMd84pUVeu1O5KtKM0IqfqZZkozAAAAEJ2SEhx67voCtW3p1Pq9FSp8e63dkWxFaUZI5bQ++dgpAAAAANEpw+PW76/Pl2VJr32xU298sdPuSLahNCOk6m/PZk0zAAAAEN2GnNdO9w7rLkl69O2vtH5vhc2J7EFpRkjV3579TWW1quvie+0DAAAAEO3uvOQ8/bh7uqpqfRo/r0iVVbV2R4o4SjNCqk1Lp9xJJ/5a7T1cZXMaAAAAAE3hcFiafm2eMj1ubT1wVJP+UiJjjN2xIorSjJCyLEtZ3z2rmVu0AQAAgOjXpqVTM8YWKNFh6d2SvZq7cpvdkSKK0oyQy/6uNO+iNAMAAAAxoaBjaz00vJckafLi9SraccjmRJFDaUbIZTPTDAAAAMScW4Z01vC+Gar1Gt05r0iHjtbYHSkiKM0IufrSzGOnAAAAgNhhWZb+66p+6tKupfaUV+me14rl88X++mZKM0KuYU1zOaUZAAAAiCUp7iTNHFsgV6JD/7Nxv2Z8uMnuSGFHaUbIZbdmphkAAACIVb0yU/XkqD6SpGc/2KgVmw7YnCi8KM0IuYY1zeVVcXG7BgAAABBvrhmQq9EDcuQz0t0LVqusPHYfN0tpRshleNyyLKmmzqcDR6vtjgMAAAAgDB4f2Uc9M1J04EiN7ppfpFqvz+5IYUFpRsglJTjUIcUtSdpzOHZ/4wQAAADEM3dSgmbd0F+tXIn6fNshTVtSaneksKA0IyxY1wwAAADEvi7tWuo3V/eTJP3hoy16b22ZzYlCj9KMsMjiWc0AAABAXLi8b6b+z5AukqT731ijHQeP2ZwotCjNCIuGZzVTmgEAAICYN+nyniromKbKqjrdMW+Vqmq9dkcKGUozwiI77cSaZkozAAAAEPuciQ49P6ZArZOTtHZPhR5ftM7uSCFDaUZYsKYZAAAAiC9ZaS00/bp8WZb06j936K3Vu+yOFBKUZoRFw5rmckozAAAAEC+Gdk/XXZeeL0l6aOFX2riv0uZETUdpRljUr2k+fKxWR6vrbE4DAAAAIFLu/sn5uui8djpe69Udf14V9X2A0oywSHEnKcWdKIkdtAEAAIB4kuCw9Lvr8pSR6tbm/Uc1aWGJjDF2xwoapRlhUz/bvIvSDAAAAMSVtq1cen5MvhIclv66Zo/+/Ol2uyMFjdKMsMlhMzAAAAAgbg3o3EYPXt5TkvT4onVas/OwvYGCRGlG2DRsBsZMMwAAABCXbr2oiy7r3UG1XqPx84p0+FiN3ZECRmlG2NTfns2zmgEAAID4ZFmWnr76AnVqm6zdh4/rvtfXyOeLrvXNlGaEDTPNAAAAADwtkjRzbIGciQ4t2/CNXvhos92RAkJpRthks6YZAAAAgKTeWR49PqK3JGnaklJ9svmgzYnOHaUZYVN/e3ZZRZXqvD6b0wAAAACw07X/kqufFWTLZ6S75q/WNxVVdkc6J5RmhE16K5eSEiz5zIniDAAAACB+WZalJ0f1UY8OKTpwpFp3zV8dFZNrlGaEjcNhKdNTv66Z0gwAAADEu2RnombeUKCWzgT9c+u3eub9jXZHOitKM8Lq5A7ax2xOAgAAAKA56JbeSlOv6idJmrl8s5au32dzojOjNCOsTu6gzUwzAAAAgBOuvCBLNw3qJEm67/U12vlt851kozQjrOp30N7FDtoAAAAAvuehK3rpgtw0lR+v1YRXi1Rd57U7UqMozQir7DS3JJ7VDAAAAOBUrsQEzRiTr7TkJH25q1xPLlpvd6RGUZoRVtlpyZKk3ZRmAAAAAKfJaZ2sZ6/NkySt2HxAlVW19gZqRKLdARDbLsj1aOH4wcr5bm0zAAAAAHzfJT3aa8aYAg3tka5WruZXUZtfIsSUFHeSCjq2tjsGAAAAgGbsin6Zdkfwi9uzAQAAAADwg9IMAAAAAIAflGYAAAAAAPygNAMAAAAA4AelGQAAAAAAPyjNAAAAAAD4QWkGAAAAAMAPSjMAAAAAAH5QmgEAAAAA8IPSDAAAAACAH5RmAAAAAAD8oDQDAAAAAOAHpRkAAAAAAD8ozQAAAAAA+EFpBgAAAADAD0ozAAAAAAB+UJoBAAAAAPCD0gwAAAAAgB+UZgAAAAAA/KA0AwAAAADgB6UZAAAAAAA/KM0AAAAAAPhBaQYAAAAAwA9KMwAAAAAAflCaAQAAAADwg9IMAAAAAIAflGYAAAAAAPygNAMAAAAA4AelGQAAAAAAPyjNAAAAAAD4QWkGAAAAAMAPSjMAAAAAAH5QmgEAAAAA8IPSDAAAAACAH4l2B4gkY4wkqaKiwuYk8a3+v3/9eADRgOsHAABA7Aikk8RVaa6srJQk5ebm2pwE0onx8Hg8dscAzgnXDwAAgNhzLp3EMnE03efz+bRnzx6lpKTIsixVVFQoNzdXO3fuVGpqqt3xghZt52GMUWVlpbKysuRwsEIA0eH060ckRNvPNkKL8Y9vjH98Y/zjG+MfGYF0kriaaXY4HMrJyfnB+6mpqTHxFzKazoMZZkQbf9ePSIimn22EHuMf3xj/+Mb4xzfGP/zOtZMwzQcAAAAAgB+UZgAAAAAA/Ijr0uxyuVRYWCiXy2V3lCaJlfMAcCp+tuMb4x/fGP/4xvjHN8a/+YmrjcAAAAAAAAhEXM80AwAAAABwJpRmAAAAAAD8oDQDAAAAAOBHzJfmGTNmqHPnznK73brwwgv12WefnfH4N954Qz179pTb7Vbfvn21ePHiCCU9s0DOY+7cubIs65SX2+2OYFoA5ypWrlEITiDj/9JLL+niiy9W69at1bp1aw0bNuysf1/QvAX6819vwYIFsixLo0aNCm9AhFWg43/48GFNmDBBmZmZcrlc6t69O/8PiGKBjv/06dPVo0cPtWjRQrm5ubr33ntVVVUVobSQiWELFiwwTqfTvPzyy2bt2rXm5z//uUlLSzP79u1r9PgVK1aYhIQE8/TTT5t169aZRx55xCQlJZmSkpIIJz9VoOcxZ84ck5qaavbu3dvwKisri3BqAGcTK9coBCfQ8R8zZoyZMWOGWb16tVm/fr25+eabjcfjMbt27YpwcoRCoONfb+vWrSY7O9tcfPHFZuTIkZEJi5ALdPyrq6vNgAEDzPDhw83HH39stm7dapYvX26Ki4sjnByhEOj4z5s3z7hcLjNv3jyzdetWs2TJEpOZmWnuvffeCCePXzFdmgcOHGgmTJjQ8M9er9dkZWWZKVOmNHr86NGjzRVXXHHKexdeeKH5xS9+EdacZxPoecyZM8d4PJ4IpQMQrFi5RiE4gY7/6erq6kxKSor505/+FK6ICKNgxr+urs4MHjzY/PGPfzQ33XQTpTmKBTr+s2bNMl27djU1NTWRiogwCnT8J0yYYC699NJT3rvvvvvMkCFDwpoTJ8Xs7dk1NTVatWqVhg0b1vCew+HQsGHD9MknnzT6NZ988skpx0vSZZdd5vf4SAjmPCTpyJEj6tSpk3JzczVy5EitXbs2EnEBnKNYuUYhOMFe27/v2LFjqq2tVZs2bcIVE2ES7Pg//vjjat++vW699dZIxESYBDP+77zzjgYNGqQJEyaoQ4cO6tOnjyZPniyv1xup2AiRYMZ/8ODBWrVqVcMt3Fu2bNHixYs1fPjwiGSGlGh3gHA5cOCAvF6vOnTocMr7HTp00IYNGxr9mrKyskaPLysrC1vOswnmPHr06KGXX35Z/fr1U3l5uaZNm6bBgwdr7dq1ysnJiURsAGcRK9coBCeY8T/dxIkTlZWV9YNfpKD5C2b8P/74Y82ePVvFxcURSIhwCmb8t2zZomXLlmns2LFavHixNm3apPHjx6u2tlaFhYWRiI0QCWb8x4wZowMHDuiiiy6SMUZ1dXX65S9/qYceeigSkaE42AgsHg0aNEg33nij8vLyNHToUC1cuFDp6en6wx/+YHc0AEAITJ06VQsWLNBbb73FRo9xoLKyUuPGjdNLL72kdu3a2R0HNvD5fGrfvr1efPFF9e/fX9dee60efvhhvfDCC3ZHQwQsX75ckydP1syZM1VUVKSFCxfq3Xff1RNPPGF3tLgRszPN7dq1U0JCgvbt23fK+/v27VNGRkajX5ORkRHQ8ZEQzHmcLikpSfn5+dq0aVM4IgIIQqxcoxCcplzbp02bpqlTp+qDDz5Qv379whkTYRLo+G/evFnbtm3TlVde2fCez+eTJCUmJqq0tFTdunULb2iETDA//5mZmUpKSlJCQkLDe7169VJZWZlqamrkdDrDmhmhE8z4P/rooxo3bpxuu+02SVLfvn119OhR3X777Xr44YflcDAPGm4x+1/Y6XSqf//+Wrp0acN7Pp9PS5cu1aBBgxr9mkGDBp1yvCS9//77fo+PhGDO43Rer1clJSXKzMwMV0wAAYqVaxSCE+y1/emnn9YTTzyhv//97xowYEAkoiIMAh3/nj17qqSkRMXFxQ2vESNG6JJLLlFxcbFyc3MjGR9NFMzP/5AhQ7Rp06aGX5ZI0saNG5WZmUlhjjLBjP+xY8d+UIzrf4FijAlfWJxk905k4bRgwQLjcrnM3Llzzbp168ztt99u0tLSGh6/NG7cODNp0qSG41esWGESExPNtGnTzPr1601hYWGzeJxLoOfx2GOPmSVLlpjNmzebVatWmeuuu8643W6zdu1au04BQCNi5RqF4AQ6/lOnTjVOp9O8+eabpzxSsLKy0q5TQBMEOv6nY/fs6Bbo+O/YscOkpKSYO++805SWlppFixaZ9u3bmyeffNKuU0ATBDr+hYWFJiUlxcyfP99s2bLFvPfee6Zbt25m9OjRdp1C3Inp0myMMc8995zp2LGjcTqdZuDAgebTTz9t+HdDhw41N9100ynHv/7666Z79+7G6XSa3r17m3fffTfCiRsXyHncc889Dcd26NDBDB8+3BQVFdmQGsDZxMo1CsEJZPw7depkJP3gVVhYGPngCIlAf/6/j9Ic/QId/5UrV5oLL7zQuFwu07VrV/PUU0+Zurq6CKdGqAQy/rW1tebXv/616datm3G73SY3N9eMHz/eHDp0KPLB45RlDHP6AAAAAAA0JmbXNAMAAAAA0FSUZgAAAAAA/KA0AwAAAADgB6UZAAAAAAA/KM0AAAAAAPhBaQYAAAAAwA9KMwAAAAAAflCaAQAAAADwg9IMAAAAAIAflGYAAAAAAPygNAMAAAAA4AelOQrs379fGRkZmjx5csN7K1eulNPp1NKlS21MBgAAYgGfNQDAP8sYY+wOgbNbvHixRo0apZUrV6pHjx7Ky8vTyJEj9cwzz9gdDQAAxAA+awBA4yjNUWTChAn64IMPNGDAAJWUlOjzzz+Xy+WyOxYAAIgRfNYAgB+iNEeR48ePq0+fPtq5c6dWrVqlvn372h0JAADEED5rAMAPsaY5imzevFl79uyRz+fTtm3b7I4DAABiDJ81AOCHmGmOEjU1NRo4cKDy8vLUo0cPTZ8+XSUlJWrfvr3d0QAAQAzgswYANI7SHCUeeOABvfnmm1qzZo1atWqloUOHyuPxaNGiRXZHAwAAMYDPGgDQOG7PjgLLly/X9OnT9corryg1NVUOh0OvvPKK/vGPf2jWrFl2xwMAAFGOzxoA4B8zzQAAAAAA+MFMMwAAAAAAflCaAQAAAADwg9IMAAAAAIAflGYAAAAAAPygNAMAAAAA4AelGQAAAAAAPyjNAAAAAAD4QWkGAAAAAMAPSjMAAAAAAH5QmgEAAAAA8IPSDAAAAACAH5RmAAAAAAD8+P/T0lGNzpHP4wAAAABJRU5ErkJggg==", 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", 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" ] @@ -430,6 +422,20 @@ " plt.tight_layout()\n", " plt.show()" ] + }, + { + "cell_type": "markdown", + "id": "c683e64f", + "metadata": {}, + "source": [ + "***\n", + "\n", + "## Where do you want to go next?\n", + "\n", + "- [Return to Table of Contents](../README.ipynb)\n", + "- [Back to previous notebook](./orbits%20in%20an%20EXP%20field.ipynb)\n", + "- [Go to next notebook](../EXP/disk%20halo.ipynb)" + ] } ], "metadata": { diff --git a/Tutorials/StartHere.ipynb b/Tutorials/StartHere.ipynb new file mode 100644 index 0000000..3b02c6f --- /dev/null +++ b/Tutorials/StartHere.ipynb @@ -0,0 +1,58 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "71aa5e07", + "metadata": {}, + "source": [ + "# Welcome to the EXP tutorials\n", + "\n", + "## Goal\n", + "\n", + "These notebooks are designed to give you enough scaffolding and understanding of `pyEXP` concepts that you can apply the key ideas to your own projects.\n", + "\n", + "## Where do I start?\n", + "\n", + "The TOC below gives you a list of all the tutorial notebooks with an order that progressively builds on previous idioms from prior notebooks. Each notebook will link you the next, previous, and this page for convenience.\n", + "\n", + "## Table of Contents\n", + "\n", + "| Section | Notebook | Description |\n", + "| :- | :- | :- |\n", + "| Introduction | [Part 1: Coefficients](./Introduction/Part1-Coefficients.ipynb) | Create, view, and save EXP coefficients from simulation data |\n", + "| Introduction | [Part 2: Analysis](./Introduction/Part2-Analysis.ipynb) | Derive main features of the simulation from the coefficients you constructed in Part 1 |\n", + "| Basis | [Viewing a basis](./Basis/viewing%20a%20basis.ipynb) | Visualize spherical and cylindrical basis functions |\n", + "| Basis | [A custom density profile](./Basis/cylcache%20python%20density.ipynb) | Create your own basis conditioned on a density funciton provided from Python |\n", + "| mSSA | [Simple SSA example](./mSSA/cosine%20single%20channel.ipynb) | Singular Spectrum Analysis on a single data channel (SSA) |\n", + "| mSSA | [Multichannel SSA example](./mSSA/cosine%20multichannel.ipynb) | Singular Spectrum Analysis on multiple data channels (mSSA) |\n", + "| mSSA | [mSSA on EXP coefficient data](./mSSA/pyEXP%20coefficients.ipynb) | Application of mSSA to EXP coefficients |\n", + "| Orbits | [Visualizing orbits](./Orbits/orbits%20in%20an%20EXP%20field.ipynb) | Integrate some simulation orbits in the gravitational field estimated by EXP |\n", + "| Orbits | [Adding a custom force](./Orbits/orbits%20with%20a%20custom%20force.ipynb) | Provide your own force routine to integrate orbits |\n", + "| EXP | [Simulating a disk & halo](./EXP/disk%20halo.ipynb) | Generate initial conditions, run an EXP simulation, and analyze the output from a notebook |\n", + "| EXP | [Simulating a periodic cube](./EXP/cube%20run.ipynb) | Create and run a simulation in a three-dimensional periodic cube. This is the classical analog of a cosmological collapse. |\n", + "| EXP | [An unstable Zang disk](./EXP/zang%20disk.ipynb) | Create ICs and run a two-dimensional flat disk simulation demonstrating an unstable two-armed spiral |" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.3" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/Tutorials/mSSA/cosine multichannel.ipynb b/Tutorials/mSSA/cosine multichannel.ipynb index f6b6965..1abe826 100644 --- a/Tutorials/mSSA/cosine multichannel.ipynb +++ b/Tutorials/mSSA/cosine multichannel.ipynb @@ -24,8 +24,8 @@ "\n", "f = open('Test.dat','w')\n", "omega = 0.75\n", - "for i in range(0,10000):\n", - " T = 0.01*i\n", + "for i in range(0,1000):\n", + " T = 0.1*i\n", " phi = omega*T\n", " R = np.random.rand(3) + np.cos(phi)\n", " print(T, R[0], R[1], R[2], file=f)\n", @@ -132,9 +132,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "---- Eigen is using 4 threads\n", - "shape U = 15000 x 5001\n", - "shape Y = 5001 x 15000\n" + "---- Eigen is using 8 threads\n", + "shape U = 1500 x 501\n", + "shape Y = 501 x 1500\n" ] } ], @@ -179,7 +179,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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", 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", 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", 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", 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", 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tbbpnTz3FIpkaD9TksDVX7FJder7OOturba8BNSeccAKOPfZYrF+/Hocccgh+7/d+D5demkifvoJ29tWbV+zaZ1xxK5734bNw3e2TZ5z84Pd/iQ98/5d49gfO5AeKAr/5zafhmzOvxgbsWJSmRllKU+NpV1T0k2i7swFnG7CDg7FUXaCvvLL872efZx+nDIG8rYu/AgA4IrvVv8ZeZktVHiMWzdVmfOhGbUFNgXlDhM4uJS9fFMBtV7rCpm/+4iY88oTTce41eiPQWWed7V7ba0DN9773Pbz85S/Hj3/8Y5x66qkYDAZ4ylOegh07dqx010xbyZT7f/qhn+D7l92C4z97/sRtL715u32A7IYPzrYs2CXSSlMzFGxA4bEDPGR3fig6trMBFSP0+JJH7qms0j3pTTlJ35bMFiBgXkZbqr5MTcLU0Ognqz6HYGO8YymmRumgvvI3wHt+DTjrg9E2f/XJn+KmrbN48cfOcc/dWWedLb/tNaDmm9/8Jl7wghfgmGOOwYMf/GB89KMfxbXXXotzzz13pbu2LPadSzfhi+ctrpLppgVEc1hCWwBcf4Jswe4nM3RaLCRqN+0yNTyjsGJqdtzSXAZhMvfTomzpYM6eA2mApUrzEmNqguUAIkzNE//tNJx60c38+ASamomZmvM+Wf73O2922wFduHhny2t70uZmuWwp7nGvATXStm7dCgA44IADot+Zm5vDtm3b2P92ly32p3nhR87GcZ85f0EupMp6C4i+iU7MgYOamPvpylvuwC9u2Bo9/4Ly1LR0P+VWdAsDNeKlEaBmoRFdkY61+ta3L7kZV98aZxsXmul4uWzJ3E9RpsZ3P914+3a85OOCEaHRT1mI/sZ5ZoMaWn1+MZqaJYrg76wzZlX4886dK1DAcjdbdY+LCfneKzMKF0WB4447Do9+9KPxq7/6q9HvnXDCCfinf/qn3dizxpYKVW/eOY8jD5gsNXVlC8mTMoit7GQ3XDgA4IljYfR5r3sy7rJ2Wh23MwpLUCPdT+2Ymp4V0n0HBTUFhxoFdz8tXPyMBRVJPPPK2/Cij5YL9NX/+jvmd8rnteegmqUa1zGmJhXS3bcqsTOmpuClMkRGYQvUUKAW/Rlb/L7W+7Z5xzzeesol+F8POwIP+5X4BqyzfddmByN87Wc34TfvcxAOWb8q3UBYr9fD/vvvj02bNgEA1qxZs88VZQ0hYOfOndi0aRP2339/9HoLLw2zV4Kal7/85fjFL36RLF/+mte8Bscff3z997Zt23DkkUcud/cALG4ZojvHxeQ6WcjOMe5+aoBFzP1EF4xb75ibANQ0n2UodPRTa6amSDI1XChMv5ux5754Sz/8n16bFpOXrNhS9GdpzBWIX3YK8MvvAU/+Z6AnpxYOzuKaGh/09mDoq1j0k8ih1CKkm97TYtYK611909cvxv+cez0+fdZ1UeDa2b5t7zj1Mnzw+7/EkQesxg9e9Vv84LkfA9YeVJYPceyud70rANTAZl+1/fffv77XhdpeB2pe8YpX4Ktf/Sq+//3v44gjjnC/OzMzg5mZmd3UM26L2dAOl3GSTVm0Ng5ZHIoIqNlFkuatmrKRtqldYYtWYbif2oV05ygwWKCmBghL7H5KWxQgiKSAi2GQltpcUPOpZ5f/Pfi+wMOez4/1poFRo/GKAW47pLv5ch8FpkTBUjo+chTRCLc8kseIfn9x7ifddl/KU9XZwuyUCzcCAK67fRc/cNuVTYTlG+Iue6Bkgg877DAccsghGAz2zUrzU1NTi2JoKttrQE0IAX/zN3+DL3zhC/jud7+Lo446aqW75NpilqFRC6Zmflgkixz2FuJ+imlqBLCwFrdZAmpi1y6CVWOp+W5v7D7gjbxyBNy9oDRBEtSwpnKHv4TgoQWgjIOaot33VsBaPaNthsBdgJrYWQrkmuRiLsYR9lstGEBRJsEFNYb7aek2Efqzfc1N0NkSGpmb2lqv12sW/p23l8DoiF9f3MDdx2yvEQq//OUvxyc/+Ul86lOfwvr167Fx40Zs3LgRu3btSjdeAVuM9oBG8Fhj9U1fuwgPeP03ccUmfxe4tEwNT0Vv3d7Oea5RMU+TcC/kUvcCtM9TkxnuBel+KuIL3qI0NQtoE73eEkWaLYfRxxsd41ZemT4HIrF7MjU15HfqY4T91wgRoWJq7LY5glkstY279465IW5NlFCwgPxil5p3fOtSvOf0yxd5ls72TFvk6HjvrwP/9STg8lOXpjv7iO01oObEE0/E1q1b8fjHPx6HHXZY/b/PfOYzK90105aKqbHo8P/8wVUYFgHvSkx2CxEKR6OfCLDILTYFPNtsTJ+Sin7qo9CLZUtQU9b2kULhxgetKjgXKaam/fNbyEYpClaWNSprcdau/pfxMHoc1ERv3SpXIYDr/qsFqBEZp2NMzWI0NYNRwJu/drF9cGwWIFqMJu7WO+bw7m9fgbefelm0AGhne7HRsbGQjcvO28r/XvLVpenPPmJ7lftpb7LF9LetcHGQyLkhpQdtTGlSKis4U5PS1MQsJRRWwAOwE67VJ5TRT6Jf8024dJY5romswEDeUt4HiqXxX4cQlCsiKgAOaVffShkHNQE94/f8+Y1b8ED5YY8DEfY7kN/XFAoLpmY/CWrk2ORUTf2vrEX0k/fabtw2Gz8IILe2iIvYjFMANtyDxkBnS2VkcBQjQ1zf2UJsr2Fq9jZbDAaji5h3nqiraGwL0dTE89RwRsTqF2NqIh1PZRTuodDn9oCFylMj60ZxMXBMKKxcUwBbiC+6cXE5jixg0o6p2bMAfZux+a0LN+lcRT0dCdecqBk3bdxPq6eFmFDUfvKin+w8NeTfzrNOuQEtViZblEuzOd8eNAQ6m9Civx1japamplpnHahZNluq6CdvIk0W51tQ8r10SHeOYCZho0xNdL1OpP3vWdqWCTIK6zw7fKfOhcIU1BjXzRtQ8/R3/wBnXx2v7ZOKmrGeV5SBYaLseKLDlbA2ldoDMly/WWjdPPeTSBegniT5ch8jQ3PlsIgtyiS0ZWo8whAwkl1u34j33fI8HNf/H79hxHLmndhzxsCdzkZD4NbLlxdZuqVgfJsfdYCIWgdq9kAbJUFN+Vkq5ftCMgrPt4h+iolqKaiJLXgp94ItFG5b+8lIvieSr8UWPJXfBOA1hwD84LJJohWkq2kCUJPS1Oy4Dbj0GwubCAe7gDPeDdxy2eRtwdksb45XizADNeJ3IKBmhFyDccG2qHMLFpGLwQXotUK62T3FbyqVTVm9bj94Ow4a3YLj+p9328VPSK69BwHbO539zwtLUW5VMmNCi9eUWxqm5uRzb8DGrb5r9M5kHahZJpu8OGJjjKmRc/A5H8ZPZ/4Sv5r9cnncT7HtaPB0C6XNLjT6iXzbdj+1y1NjCkFZDpK4+8kUPwsdyD0OWhvvR8IsTUR0ARUh3QogfvDxwKefA/zkA5N35PtvA059HfC+Y7Fl5/zEzRmrEfmVzfpeBNTMYBBlasw8NcL95I2P3HE/5VYOJEhmVF++shSwUO/baJF6LHK5pSpP0dkC7OIvl//90XuW7RL/+rULF9X+tItvTn/pTmIdqFkmW5ymhggn5Ym++rc4ILsDb5v6QDynzNgWVCYhxv54CwcA3HELNmw8E9VM7Lmf9Ic0umWkF8uW7qfMqv0kKmkzICGinxTIyLlwb43UclCTtyW27RYIjC5UhdSIiO9tvRYAcNs5/zO5W+LaH9f/fMFHzp6sLSSLaH+n1AGJDwWoKSK/Q3J8YKSfB9PUxJPv9SK1n9LM6PhUE2tqFgdE6PPtmJo9wJY6Fww53afPumZRp+rck411oGaZbDFDjJIN3iSbYmoWUiahTe0nIOhJ9t0PwW+f+xI8Kf9p+Y2o3sL6MMXUtMxTY0U/SaYm0tYEagLULGZdsZiaePQTd6d4xUO/+rObJusIeR7nX7dlsrZo66oxcusQV940hqIGF/19jXNSTU3mM3le8r1Y9JOM6IpZii1RoGaRCw3tSwdq9gRbSN6GEZ44+AHuBt913bOiPiewbnQ01oGaZbLUfFYUIbooDBlTEzk/8qRQeGFVulu6n2Tf58tEgE+sQE3k/AG5PiaAibJJQI10n3lRW6pMgs/UeL9p6kmb0U/RHzetXyqvGfDjX96WuLI89+ImTy4Udi7jfDKDef4F8vtmMDbEiqmRx8XzYj9rOk/Nfj89EZ+bfgPWYHZRQmEd0r10oCZ17c52g1lJJVP204/hDYN34IxV/1sfI8NjMaAmFo16Z7UO1CybxUfZcFTg6e/+Af78v84yj49a7IYLZGmmZgFUTXShaiEUBkrNQ3meCZgaUepA37P3xnImRgM9fpzv4hNATWhqFq6TstmWNiHdpX7J/loGmBqRVF8WYzxSyNHUKBcRATWZdD/xxI7WGSuzkzO2K5PQi9R+OvQnb8Kx+WX4w9733d84FdKtNhGLXGlW/+K/8cpeKTKOat062322EPfTld+JHxN6r8XYxFnHN/4ceN9vAJd8bVHX3ROtAzXLZN4uduO5X8E9N52KH15xq8mMUFdFjHYukCWjnxbifoqaAgD21/pZ+b2oXAS5XlfFwjMR0z6R+wlRpiazwEMuE8bZXRiG3J3v8gioaaOpiYXPA2WfJwY1HlMznAc+9GTg638f/Uqb6CdTU0M+0O4nfr9en3tWSLfHbLVwP1U2RM8BkHbCSfadJdbUHHj63+L4qf/B/bJr96hSGXdaWwio8d63FEPd0szIzZR99nnALRcD//0nC77unmodqFkmi0e2BBzx9efhfdPvxiHYjB3zOrKnjRizZGoMkp/qU5YS1TAXQXyCb8PUqN1wSlPjmWA1dEi3AC5sweMMkWZqqPsp7i40w9TpaVBENDVppiZzrgsA80M7MuyUCzfi2f9xJq7fvDN6bmVXnAZcfxZw1gejX6EAK/Ys7XpV3P0UY2qscqe0z1OWUFhEx7lMjQQ1gyYUdnNY72tqEiuHet2WCIdswI64/qqz3WaDhfwGLUFNnhVxd3Sby0wKemcXl0x0QdfcTdaBmmWy6M9NBvIB2Xazpksb91NAbkYqUaBjZTidHYzw2bOvw6ZEyndl0v0UeQErUMMZEbHgKQ+R3IlP8LJQYJIVRp4d7n5iJqKMFCNCNDXVfVlmhiEToFOGi1sC1cgJlVDY/lqGgNnITPuXnzgXZ119O/7vF34hzu0JYdK5MqKAW4Why3M3x6cxjIZ0p0BNzwrpVkyN3bZMvica72w0STuwyt3xptYcvYlYmkm/WKEEjNfctiOusbsT2iUbt7sJOE2bgKlJaSSX1hY3nrbPDvC4t30Xb/jy4kLRl8M6ULNMFl07WPZUYMecD2o8pmYuUZzPYmredsqleNXJP8Pvv/9HkQ5GLBUpNLa+RaOKtP/ebnjpmZr27id1XeJ+msJwssrS9DQoTGAS3Zm1qLNV9hmYizA1lW3ZJXKleJNsCyEkde8x8CnGdUpTw91P7UFN38w47UU/UTau0MwWATUpViwFLHTSwEUsHAV9Z3Y/qPnKBTficW/7Ll520k9363X3ZCuQ4xNnThh67ebYao7FROxtrI1rVF97cePpc+dcj2tv34mP/ujqRZ1nOawDNctknKiwJ38A2DGnB32bMgkxoTAtSGkxNaePkzTdsGWXOuYaXWizeJhxH+X9eXlIvF28mVHYM+G6Um4ecW5Pb+GFIU9JdoHYCLlO7k/+zBFMoWcb91Mq+imlqdFFTZ2n2wLUUMaJsy38N9Zd5u6n2DuRW5lq2G9sLBJC78Weq3iWajfMQI0XbWi51Mq+3QUlla+jDRexcAT+PGO6quGoYDXXlso++P1fAgC+dVGX1K2ygAX8om3dTyiSecc8mxzzLg7U7Mkarw7ULIcVBf508/vxjPzM8s8o1R5japzke9XnyM1FdphwP1mftTKxm47taG33E991erv4HooJdxFiJ+5GP4lX2VsMAZFbxXB71FewEsaR00wqFFYFGqN+KswlHP2T5U5hxYaMywX8/lVvwLum3qu/IhZhrZvy3E/8fvV1CVOTWZoaAk4zGbbPx5bS1DBQU/jRT9bKce5Hcd6qv8Kf9U7VId2pcbztJuCOSP4SARJjAPgp7/w+7v/6b2L77NJUk2+uuecuWitnft060zyXbotiqy17NTnxsgeDksVaB2qWwy78PJ66/Qt473SZVptNSIKOtITCFJhEQU2wf7qUD3zBSTFDQn8ytsr9FAudNne8IuvrZEwN3+147icooXDC/UQ+mJIRO8TKekXxLpolGOCJyblLLa6pSRc1nQjUUKbG2mFuvQ4P2XIqfrf3I6zFrigbZ16Gup9URmHC1GQpTY3hnvRAoKriHtfUpKJIzGNfPQ4A8Jr+p4xn7fw28zuBd9wP+Ld72UloRJHPGKj55S07AADnXbslfq0F2GLXvO9euglnXHGreezjZ16NF3/0bMwOlp5hWrD9+D+Az/y5W9qisCG3b4sp8TKBTQxCF/kD78mYqAM1y2Fbr2N/epN/SigcLcUUuTR1v1iLphcR5QKiVJmE6vxVSHekbdHC/TQRtak0Nerk9b/82k8WI0JATRbX1JhCYeZ+skFNVBDeMidQ6X7yFwbNHrTU1FgJD7fx7MUx8JByMfYzwXp5yRUBNoP2E9FPKgOzpPgdpia3cuAQU0B+0Lhwfx6OnqxMArku5oxIFLYRsF2VtK9TvaWdyhezaG3ZOY8XfORs/OmHfmLOKa//0oU4/ZJN+Nw51xmtV8i++Q9ljaeLvhT9SkA2udfGFeZzlnnynFPtLrMcticzeR2oWQ4b8Mii2K60hwJ3WO6nWNgsPWckjDjF8njuJ7rrn5JijJbRT1O1+2kCpkYlV4t2UZt0L9BJVJwoE9fiSdsMF5FgamLvcYHc0IE0/yw1Nbrx07d8Cr+X/1B3lYV62sVDqz5P7H7yJqM8AWru2MiuHXMhlVfxweVEyfcmYGr8gpbGVKyYmvjzUYDn6jPqf15ZHK43DN5A7s80/57dqo+zjUBu9ouOKfW+LtIWs2Tdesdc/W+vtMS22QSYXQGbm4trDQuTZQ5lxfsYIzNB9NOimJrJ/U/1v667fafzvb3POlCzHDbkL0ZMU9PDCDsNoXC76Cf7pxskSiy4oGZIQY04fyr77th6lqZGRHLoRWkxQmEOTBhTIy7khftmFvtE2pcJ42w2xQSYkn2SJ7/+XPzR1o/gndPvL7/u3FM8+V46o/BELhF6Hxao2d6IRnPFekkXkGjrXVewgDqKiEY/pap0C7ZFujZl4x2Ni0SVWBCmQO+Wq+t/ZghGsst2u3TMbtHHxfO3QPGc976uoNE0A3uym8Kyv/v8pSZ7DkTmrnM+DLzvWOALf2mf0NPUiHG/OFCz8AYv/OjkhW0feM0n8Kx8wgja3WR7zpuwL9lwjv3J6fBmIPcxMpkaFjabcHnIxTJVcVjXp2mMghq1GCqK3z5Ho6khH4oX29ztjE3txBlIS1VwFrWfxEKaDumW/aJJ34ZRcGqGdEu3mFyUWrooTYBAjqXcT14dJf1lytQY572DRsKEKMjLLbE3+VuzPImQbsbkWVW66e8o3zfp2hSn3rWZtfXWBo/JA8Jk+iX6O+zaoo+3YEbp+9pfaqYmsUp+8bwb8NNrN5vHKFvqe1/2EMRDnvUcpnDZzXeYXzMDAn7wjvK/P/9c8tz6hCIybxHup8VEP12xyb7fqN18ER555b/j3dPvnfSiu8U6ULMcNuBMTUwv0UOR1NTEdukVOyB36oPEhOIVuZybn0c12PXC0bb203B8bW+Rji9KPRmBUjTCvQF60Eb90lLsK91Pfu0n/awpUzOILsSmaFvck1oQ5/lE4olb4+6nNFMzkUuEdch3P2k3T0pzFcTxmPvJ6F+qTAIbX37yPS8qK5Xvw9eCGaBGXCvGIKWYmlj0nLsJufxU4INPADZdrM/dwrxhcv51W3DcZ87HH0RyXVGXqO/OW1DXlt7IfD2HqWh+cDOqr9e3v1w3au9+WmjyvSxbQIj1Yh7+Dr/i+EpbB2qWw4ZSU0P/aCarfjayo59aJt8DdPK1lKZG16epGs7jrh9/DD4z/Ua7rZhkY7usqoaJ507xF7yCNybRCKbLzXNdKU1NXCiccplMZSLTsWBqtMuE5/VRTM38Dv51FyDEQE06lHMiTU3k/mrbzjU1MXbJ7LNkaugxdi0f1JjJ95jrS4IHhwUU504JhVMMUSqkOwa2bty4EdtkSLbYRKjxUxQYbN8U79tJ/wu48acYfub51q0syq65bYd7nC7Oe3I+k9oIqBmgH3XRF8EQwOdLBGqyxeWp2a1PuUXm8ZW0DtQshwlQw0O6uSjSzFNDJgKvTAIAlSZ/mMhxE41+2nQhprZdg0fkl6BvJZprWWTRrP0kFmnPzdOTwIQwNUOLqWmZXA+oFtMII5JZ/aJMjXQ/tdfUZBZTM7c9dinleohnk01PZTpzv9OGUuUmU9O4nzxXXm6CBwpq4u42GxDRyT+tqRlFxkCWADWpkG7P/ZSqLq7ak+t+9PTz8OR3fI83TT2Tz/8FjvzQA3FsdonsCrPbb70ZP7hc7KxntwHffUspcI2YF92SynU1R0K1vee5x8CdARfKxm7P1NSIore60eLcT0UR8NwP/hjH/fd50dNkCAsR1Uz4fdaphbfdDdaBmuUwEf0Uc8X0UZgZhUexnY6xkDKmZjTEmut+gLXYNW6ruxaN6J7ZUP9zf+xITP7pKt2ILNI2I9L8s4cRd7cQpqbyafOdOGmbyUUrwdQwf7cV/cQ1NayxyCOSAmoLdT95bEwbFYUnulVGLvSL62/Xx5VQeGHAJKWp8cZeKRT2mZoYI9Iz3U8cmEzkLqH3lFnHJVPDOlb/a0O2Ezdv4zq8pPvpFycDAF7W/5Jxbn6V//zBVfzDb/0/4LtvLgWuEfPWyFShXK6pEScaDXFX3Ja8xm41AmoyBAfUNP9fW4qp8QBAi+inC2/chjN/eRu+eP6N/mUmxjQeeh8AX3o58PP/ibTtQM2dz0T00yiyGPYwMpka5n6i44fqOMZLGmNqfvRu3P+05+E/p94OwGZ52mQUPiDbpid/CUwSId1+lNEETA1LhjWeVpxzc0wjQY3HLiTy1Mjke6pquWwqhcJiIhDuJ09TE49+WghT026SfeVJRkQE6bO6Z+Zus6qSc/cTM7GAJ4Xksl8F3/HGn6UhFJ6EqXGBmgWI2jE1+8Fw5xT8ecbYunVZOdfE1qgy87g4eH062sUbWak5hDIOqtuf/AP8eNXf4Dfyi1w2aLcaATW2Nqo0M4v7Emlq8giomR+1c/VM7uZzvn/Bp4HzPgmc/OJI0w7U3PlM5amhf/DoJ0soXAyJjoQOVqYvMZia8z8FAHhU7yJ93bFFJyRynQOy7bptauEZWx3SHYmMSWlqFNtC3E9Vz2OLVs8J522uTY8HcUx2S0Q/RRgk5dYyzy2Oz0mmxr6uJ16twIFatG67Ev+3/0kcgs2TaWpEgT1dU4jfk/cbe6yXAsVJpqb5wI5+8jQ1Kc0MvScjaouYf09ppmYUGXv7ZRao4W7qKKipWdk4U6OsRY2vqLaoKPCI7/4pPjD1Dvt7F30Z9/v528pnafXrqtLN9qe90/YgpqbZhOYo3OzgqstJTU37jMKW6D8aCStYv4kfpffwaWJIsy1nuPc060DNcpgUCkcm8B4KLRQ+9fV43hlPxq9lpb+bu5+oK6b86Ri6X3sQv67F1MR+cfKCHYBtLsUfqzoNxJia9poaFaEiwIM6NxMZp6KfxCdSkOtoJqYzj6nxI2N6KHSmY+F+irnrUtFPALTA8D+fgJf0v443T31owWHGfYxw+abt0eMlMKHHOCDy9CeaUZuQyVOA20k3oNg40bYlU5OqSZVigQAxD6SYmmRkXmnrUM41XiFObQm2NgQ8ZHgBDoKRFPC2y3GXW8/BU3vnILMEzJ/9czzgqo/id/KfjPtld6yw49xWxhioiRfrNd3MSU3N4txP0aARcV71mLfeAHzvbfHaYt7Tn0D8vAf9irV1oGY5TEU/0clMMDXS/XTGu7BquBWfn3kDZjDPB/JIu5/YYF5zoLiu7lqcqSGgxmRq+MIRj34yMgoXUvOQcC+we25ATfUCRcW+MhxcXCeXydcmWEy9IowmA6DqN/mgJq6piQPIymZlrppxhtr75dchVyHdbSfZES65KQ5qFPhMhiBTUJMIYXeepcoXBKBt7ac6Ms91T00ySfN78oTmgHQ/pZiaRLHVsTXuJ28hFh+mXNCXfA1v3/V6fHfmb40T8ndVlyUp7cjsFvl10S/n4EJt89VKgN/KhKaGv+fElWZB25T7qXWemqBLeMApe6NYQgkunwd851+Az/yZ3z/LUkBN5qTaw6wDNcthg/bRT2oHdsA963/eO7s+mU6ezXWEqYmFp7YCNSgnhvjkny5oGdeuGFlbxXFmhWZqPF1M7Fj9UeR4m1DziZgaLyIHEO4nP39Oyv00a6QFAICN4YDJop9E6PTFG7dFj3uT/8RCYcniJFgvNa4LhwkU1xWXY3/kWVwAb1oyE7YANZF+bTA1NXR8xd1PXlBA+bmR2j/lfrr0GwCAddmsPkbmjx4KlsGc2qpsfnz9CZia2W3Azz5b/ndSu/UK4F0PBv79mMnbCvdTbL62o5+WN0/NkAWNxM+rnuUN55T/ve7H+J9zr08kjhSWW/nAaFvH3bsHWAdqlsNalknoW5T19Jr6nz15vDBYCzqgVu1f//Mu2K4nlOE8nrb9c7hvdq3uM3lJ7pJVoMbut0m1j61OvscYkxRTw90eMR1R436yd7zqeSn3k68D8Rik8k97ssvMcHC+4GmmxhHdpiKJSDtAiMXJd28O+09WJoElhhzhqlvFYusxW+w3NtwSFDwo95M45oAas0yCrCDPbpGPD/6JvqeJJmgGxnwGEhCif3Ld9ZlRb0gk6YyNgenMYEbpZSxXUwrUFPFK1dR15TE1M6hAjX0WEyB88a+Bz7+k/N+kdsVp5X9nt06eIZcxNdLlL0CNbLsYUCN+YytPzSCWd0y5n0TbXlNb7P987gKcfO71smPxfqVAjRDm72GYpgM1y2ItQ7rLnBty1ymZB3uB71lMDVnADs62akbkl9/BczZ/EP/Q/2/dL/KSHJhtG5/b7ne5o7VHci8zdsOscKT1EvCFJ+Z+SjM10r2kQU1sYWmVMC4C8lpFPylNzXZ2PO5S87PcAsAukheEFke8ORwwoVCYMzWqzyyEOR4e37PS+rvggT9nL4qol4kFXgxy9bwCb1t+NMm1HWMLixV6z68Tz59jXFO482Lgof76JOAhBWpGDqgh46mPkVmFGwBWVaDG06fI+77kq+V/L/tm9PLzwwJnXnmbLg9CgO2TZM6flAmmJg5qDPAwgatGWYs8NdEcVeK86mvrDmF/nnfdFnFtD9S0B2oTvzO7wTpQsxzmhnTzPDW+cDG4risgDpgOzrbowTamdSs/fKwm1V0q9xPrV7uQ7rorbD5vn8NE62L4dctzxwCAmBQUqPF26UZKCRUuHgF5FmsmqGV1z4KpibvF4pqa6nmwcPFtN9T/nMPUhO6n5lg/G0bBQXVtz2XmhXQrADCBtqkvyySI6BIVWm2ABz42OdsSA+OmCYYpBYpHI/4MmrbGdVq6IJtL2ccLCzwkQc28c5AyNSMMIvPA6jGoiXW7CAbYamH/8rWL8Nz//DFec/LPxQkXkeVWaGq40Lw5b1jmkG7T/RRLpipF6LJjImhk9ZRkX1qCGusdSJZEWVnrQM1ymMjGGss100smEpNuCR45BcT9rAdhqxElMmRt2cLDmJrt43PHANWEk+wEbh7F1BhKey/6KZbgrDweFwrbIlF5bnLI0Pp4YdlqkSeaGs0uOGwdMZO52noDOW5oqFpOsqocQZDPMu4ys0O6ab/jLsQU69WT7slCgho/5L/sijcG7OuabpwU2yLGT4ypMSNIUs8z44vUZExNQihsZZOuT0ifZ4gyNTMJTc1ogXEzHz/zGgDA58+7gR9YTOp+Ef0UG19mfwlT875vX26Uu/DeN84imkJh5n6yz2vq0NY2TE2OAqumxFLv9YuyT5YrclHi+uW3DtTsBouBA60Bgb+gpSKBUkzNeIBWkzsLISTfXY+d8iPhQopX6a6/7jA1GjvwXWucTRkfiey0NSDSTE18YvC1Pp77yWZq+D2pRWnUZJD1NDXmgkb6LC4FbLueHLd2WWKHF2HrelK7YuT8YT9EquCpK6rliz8QZ736sjaYWMyUEN1g8mJjRAOixEI5gftSRTAl3U+J2k8z6+mFNBvDjgpbDFMjxkisXtEqlHNNPH/OwpiaqC2KqRGgxsuhJJ8mYTXe+a2L8JZvXMKPty6TECIh3e2YGmUkEvYAbMcqxdQ4RjU11liY0D2+u60DNUttxm4/vnM0Eol5ItFU9BN5gQ7I7jDOPWRtmZ9e6CXUraRyzSibgKmhmgkHmKSS73mAqLo2X4i5m0cDTH7tWAhziqnpSU2E0CwojYmXW0WwGpD92nGraBt/1kA8IkcJcsWz1EwNZ0T8jMJeCLs19po/lJB8AqbGBjWeJivlfkrsloWLKXXPzOTmxwE1qzEXj35CrlENATVW8k9XUyPGiMqUTfoEJBgkB4ht2em5wKwTLmJhJa5gxdZJhlreLnE/TWOAn10vcvu4mhquQ1Pup2KE0bB5Dt6GTW18SEKyg7MthvvJMQZqjLGQTKa6staBmqW2AdfTeLqYvllgj6dH53lqLKFwDDxY6eRHrC0LxzQm8HjRQVk0kF/Jo/FT7oV+ViAGPPKsAg8xRiQuQK3+jjMihqjRZWom0Ppk4nmJ3Y/W1Dii7JRGJFV4VPzOMfagp7RNGiB6oDf1LKNsm/kbS22TfV2gemfiADF17tizbLpqj6+UW1XNAwZYZyZAs/odp1bX/1yPXU7otAUemise99/nu9fWx0Q5jBhTk1Wamni/PP/TQ994Ki66cYLQ7iVyP6lnLfNROUzNNAY4aN206Jdzk0ooLL77mT/DH532m/iz3qnjU8XHrRdteHC2RbufXCMj0mRqUpvUlbUO1Cy1CVCjd7RcU5MMA3V0LeX37XObuVPGoCjF1NQ7WtYRJ9pHLHhTMlGdCrmN37POY6OBSYyNUSUWDB2It0v3WQ1ZwFEzNf49xwGkV7Va5SgRLjPItin2QCzKsXOXjAhrKPoc1x6kfmNPsF1dK8ZOedFNdVciv7EZ0u0BEwPox3RoaaYmDmpaCYWd57kh2+GGdHuamm9ddDOUuUwND3TQjFxpqZBuM5EdvUwALrtZJNK77Up8Yfr1eHJ+jnHCpREKe+4nM5s1sWkMceC6Gf7hBHlqlPvp0q9jarQT/zL1EazHzui4To2PQ7ItmJmEqaG/jAVqZIRugtDc3daBmqW2oQY1scVQiTEBtTPgLxjR1GQGUyN0DTpcXAiFY+6n6uvRc4uXSIzqGQyEqyYhfHUZgsRi6u7iDXYh6n4yJmClbyLHLE1N5NzKHaNcOXFmyxMu2m5CqX3yAKTY4Xm5UVJATKb1TzA1fBKe8DdOANcUU+O5+mLAtLL4RsDPr+MX2jRWypSmhrTfgJ3RxTbAIERSeUg8TQ1zM3oh3b6mxiy0KbQ+qu1nn4+H5lfgP6ffoU+4ZEJhGdItMqmr6zb3P5UNcZACNe1rP6mQbqKLmcHADXLwGNnVmEM/UVk91tZ2P00WNLK7rQM1S23GQjqKLRyZlUjM0VOMEtFPhVykfVATcz+ZzEPLSsiAkcpeJd+DML5bnohtIW11tlm5WHoC5gnrFaVqUnk7KQXU/IU2xR4sNKJL1WhibsAWQmE2Pui4NiZZ+RuzQ1qv4wG1VL9igNvWocmx57NATEOixocPIBcqFDafJ11MFatGvmZN8QI8xDY/9gklu2BfuM5T4yx4mkFKRHTdLMK42ZeXCNRk8ncSqRuc+XoGA6ydFoBR9Mt7Vy2hcGVK85dkahIuf8+SoIbOfV30075vSrgY99ObdKaXn4JlFK5Ej3GmRonaWgqF7R2t0y/T/WQDOaV5EO1TrglvUdOMh2YAPCGoV7vHcxGltBpqp63uKTVh0WOGzoP94QAio18xl0iq4rkWMNPf0M8orJkY43eKMmq+bsoTVpsuW28TYeimPHbTWzhS7JMy6e71Fi0nGWaAMa6Fiue2HYKZaRn9VLqfIkxNlshTY/FTuQQ1EyyWbSpHx85H7tdNo5EZmhpyzmkM9ZXVHGMfM4XCcl50Nj7eJmJiNoV+13Q/iTpvHajZx810LdDFMOF+coWLiegnlWXS3oE1eWomYWrkJGv3GRhXtI4wIqrP6kKpnXgq+skDD3EWyC79IHfx9CaG6nsh8kw88FDdUwwEQk4allDYYQB0QkF+T7FdqdLUWIyIA/ImEl0ngYnzTkzgnmzemdhvkQYew8jvaBc15cdj5RsyBPSke0BmFE6xiFE3jwGZBFNz3e07+XFPUyNKaUSFwhZTQ/5dmFqfBIM0tvlguM+MTQazT/8J8F9Pthkd190rQrrlqcn5pjEw5nNnThYRg8r95M1PAhCl3L0xnGdakqlJpOhYYetAzVKbuaO1X5JUSLearIzop5hex6zJUTE1mbHrLIzFMrpopd1P8ey7fkVrTePLBS+eFM5zTZnnFtFPHsXvMUi2pob3K+Z6qPrVOgOzwR7wXovrOvfUU1FsXC/hVjxXLqSEpoYt4vJQAph4u86UuzclgFfnpof0QhnbCABpTVa8XwHTPZkcLQESWb/jAtY2ZRKulaDGdT/JekW2O26VJRRmieysQpvtEgpuDAfoDwUDzvscgEu/Blx/NnDzhbqttwFR0U/xtnYFeWeMpNxPgimOs5e+63xRTI2VfG/EPQad+2lft+Qk6+yGAWN3FwMtxoKWKhw54sn3kkyNc24vpHsawyiTY/ZLLngOQ6AuJ0XG7i4+3tYWMNN+xd0xaU1NXLtSXzsyYSmxuJjoyuvGjqcKbYrU/Sz6SSax07+Zl1TS2znqsGsDfDrjJwZKAGOBF+MDSESLOb8D4EcMetnBk1mj5XKZqvLe0vVVWAHjIqPwTVtFNe6WeWp6GEXdqqsyQyhMxkiBTLuuckcoPNdEQm2EAWq8IAk6mCzhbkthvlkhnrSdzobGe8LNy3btAabFMDXQo8s3xtT47qcs892uK2EdqFlqS4kejVIHvnaFtB1pTU2MzjQRtMxTE9UHpJgaP6Rb1+dxXk7j2n56fi85n6+Z8ULRS12C1y/ZFb4TAvznxd0HBjNBu+o+a70j9YCa71IrosBWsYjGuGa3IcPQ1eQPcjze5/J4fAzkWapoqeOeNKPF+O8YIveUKi2iwRYgWbVY29waexLUeCDR3S2n3U8627UX/UQ2ZZlgF1J5fUTFa6WL9ZgaUv5jZ1jl9ktFG9J+GZskV+8lNpIe8CjdT/r0rJvRsZlwf2dxN3MqyebkTE1z7h9ecqM+LoXCexiq6UDNUpspFI4jf2AC9iBZ+4mzKVH3U2uhsH1faiBPoLewyxEIYMKOJTQ15Nvmbkf0KwYg7XIEsl8TgMCWrofquMe2eMnAxNdVv7zFUIVti2KrsXbVuScK6RYuxdhvWLX3xoAHiDyxuC2uF4tDIkJpxOkr3tZlavx3JsjFVooxXVATX7RK7Yo4RkCNuSi1jn4aRecQwHDHCKZmpJgaDmpYv0n5j1Renx5EUkDKzljPSTGjdp9TiUNnMEyAh/imqtwkxH9jVfJkgvd8MdFPH/nBZfp4p6m5k5kxycZcSD2UgyOe9t3fNQByJySAh2JqRO2nSYTCLpWumQdE2mZmxJezW7bEvrCP67Z6F+8BgIlE2wJ4lJ/ZbVORRFD9bkel963xoxgA8TuJ5xVjD9owNbF0Am3y1HigxXfVyHHdnqkxk+8Jmt6j+AGH3cx8EakGtvyrXlh12VacW/Q7ZmYhTuJ+6lvMaUumpucwfQCwGrMizxbX1CSZGtqWFIA1o8XEGGH9onNqC6HwKDLnKq2OaGtqaoh5GwG7DiCdY/xxrfTaYk6dCHmwexphdiCemahB2EU/7etmMgvkA0HfQh6f0P0Uc22Zroe2tZ9auFMm0ogkmRpnwTN28a0XPANgxjUTfvbdFCAC4poaL2S7PrfTr3jeDH+RVsA2BbjJd1WeGsNl5qUTSAkXffDpRSF5oMRnEU0G0mNbjLZerhlXKJzFo9jsv2VW6fj3vU1GSijct9gFoamJFz0toiAPANbImlSy9IO8J5V8j/xh/Baik6xfcabGByYeW5diU6ZlgjxhKvuu1GQppCvntnif9fiQgCjaLcOaL09hqDM7i4CUTii8r5uqGuxHPwG+2yKWp8YWPSbAwxhc1JEcLHKBLxyAWDzoQFblCCzXBD3uRE7pKyU0E/EEaV7157KtBIHtKdxc5qgwJtnWIsCUy0SVHLDb9s0xICdo+7zVcb9MQnzB8vIvtWJqXLYlDnp0cj2LqbGva4d0O/1SehxRSdm9J0zmsg3S1czBg96Jt/udzdpPDNRYLlv+Sex59WVGYTH3KYZS5TcRl/Xy1CRBDWdUBjGmJgFq1AZELeDxttPZMAouq37Hjvek20ucW0kRxNzku84nBB6CfVI1uFSYewdq9m1Tk6ynWxC0nnIPyDIJlvuJtBdC4ZimpnE/xRmP8nTxyd/bdeqcLomMwq5rQr+sMUDVSzAASPi0J4rKImZHi/EF0Rcwx8Gp1lUZoauRe9J6HK6V0O4nrqlJAVd2YcnUJJ5lGhTHFzQPuHrFVu2IQefcSRDI+xx73+q2C3xn7Lw/AuhFxo/J1BCXVA+j5KLkabrcpJJSAJ1KKKjy1NA/+CKusv4Tl1mumJq4i2z8IWkbf2dSbIrOpG5tXlpufES/vCAHM9GqZDcnwR30nrIRLnRBTRf9tO+bsWDFw7LFzjG16xxxtoS1BThTkxlMjQzpTjA1zFRETmoX7yxKisLlL29skW6ubR/PnQrf1bn9TLW8W1pvEZmQqsrS0dDrVOkHP1w8vkinmZrYTrnsd5w96DkRbFW/PKYmnbbd39F6rj7fdSWZPr5wAM7v5FREr9rH3C1mWLYrnpb99vVzKvxZuvPoMRFl5C1oZgJQYfx5c+DLn4fxO8K+J6XHASZgagrkIixd5vCK5ZoxRdAe4yZd+g54UMn3jNB4D5gk83c577mONuTzxELz1ExhiC27xH107qc7mandndzx6giTeqAL+lazPFbyPfvatlDY09QIYAGPPUjt4uO7YUXvquPx6Kaqb/HEbPLcCZAoo5/UxMCvm2KBYr9zskhnFv8dvZDuqWykT6fYJ3pePqGrcgYTuJ80sHV28KKTbUphtHcR6YU0lRU43q/4sy7P7VVMT4dlT+TOU5F5st/tFuIQrLtuPuk5daMq4wCBA9+hE9LtZ0Q37okxNT6rqkENYWpkqHloD2oU+PR+Q9F2BiKTumJG45sXFYkojntu1XRG4QmNAbWhBltCKByplLFi1oGapbbU5O9palKshBhMAKI7IZMWlHlqCvvFbzQitC0/t7fr9Fwm6eR7fvSTt4vXfmfNiMBZ8FKTykIX4lREl57ABVBzw+fjiexUplHDnRJnalIJ8iQQcxaG8gTxPpvjhx72wIMGvTENkqlDE66HdJ4j7zf2d9qxflXtvdQPE0XmSU2N01aBV8M8l0nMhQ34c19uiZ/zfrxfAuhLTENBjZunxorsag1qrHIVBABkg+j9Vu1jv1MqcagOcpBgPP6+mfX2PCPf7UugBhgBKROcezdYB2qW2uSLLau+itpPrImx6HhlEAAvcsqgM8dMTyV6jOeYGAMmZ1Jxd50yvNVgeTx3i1+/aQJBrsHUsE+MfAsxAau3oJnnlj7vhbIe0iUixogKyVW+9Pgk603+fcgq3WKSVVmBJxEKgz8sY0L2gEeK8fAqIavLSXBATycWXQ30+DujJ38B5l0AIBZ4Icz3FlMPEJkmKoD7v4V4DJRpzqRQWN+TN38poTAJ6VZFcQXbq2plCfdTlKmxsiULgBBjW9QGA2DPckpGklmbCGdspjYRsSztSkMkjrfVveycH+L2HfOs7ZRZyoducPc891M//ZXOJjKVhtvLUjqqvjH+qgREXo4bY9dZJAay8mnHd52Q7UWI6WKS7wHlO5vRP8hxbzGdLDJGg61UcrUiAL1MH9ch33on5U1YvrvOr+/kh88XvC+er125n+Ln1jtHzTFHXWaZlVFYLBzRE1kut/ZtfTZlDGpYewccWCwh+yQ4x6DAvFdaxKsCb4pqvfEls+AqzEh34mLRMnUgdr+8OaTpd7xfnlB4yimomnQ/LUJTo34nBi79Wmqq7I2om+SNzXYRkrG2FstM35l4bbDxlwEAD3vjadg1GOGi3x5gzfiIiugCDKbGO/fut46pWWozJsJY9EBKU8OOibb2rjPh/5WgxglPHX9I2jpajSTw0P2O7cTTGYUlk9P8W08MRr8ix+2wbN4vZhZT47kmeGP2V5n/wj63p8kC/GraXnbU6rpenpokI8J+Byd7bvkF1jblfmrv5tFtJ3I/uYDJ0sfFQXEshULTL+95eqHEaeYryohkhuDBW4hHc+rrXsK4KCMCH6iZ4mcCVBTrIcZAyv0UFTCbTI0HbIVWTDEickPmbyJiGwWVJsNgmWN9tgtayg1uHFBXc9+ucZK9m7bsqI9NWe4nqanZw5iaDtQstaUQtjHheJoary4UIF8ih+4GePTUpEyNqoEywY7WUJI1QE4vfv7LnUo1Pknbkfqul/TNnxj8gnOT1aTiv6MXCuwxKp6rrmrrZRT2mBovN4oOFdeTaIq5ih9PaK6UW4zck1n7yQEm1rscdQFYjIgHavSi5S2m/qIlxx5nebyoLMXUDLXmxKvk7pVJ0PmXhNtCTguKQaLHUkwNdz9F8+ekNDWSzfXc7qpfqU1E3MWUniP8cPBRCJgbjvCaz/8c37pwIziLKB60MQ/EjptZkgWL2OWp2detkINRgAumqRFC4cKaFOwXLF37KZ6npmofSyRmF/6bJPrJzzZb9tsGch7jUZ3bi37imGYyNgWQPwG/zkTuGKkTSjwvz2USiz4B/HIGOnpOT7LxCvLpaB0OXJ2Q7uT9CtDj5PVJgUv9G8vjUmsmmBq2CMtkcn6mY83UOLtpS38SAYk9yfaqfvuMiG7quBmHTcXuIpTAIfZM+jIsO7UpY/OPFaZOI/vimpoypFvcEwErmQTVzP3kMzXl70SOTVJ93nEjN8fttqpMgqkldK5bBHzyx9fi02ddi5d+4lzFIMWAWtleocv6X30rj1GqHtYKWwdqltqSuxVDU1OzFqmXQIMaN6dC0v0Un2ThvKCtXEQOe1D222nrnNuPfpILMWvqupDsMHYBTFx2SgIIr1+JRV5kOvZAXs95XumQ7nhCOB3qq9mW1iHdxk7O+43hsnEp4Cq1KwkWcQJNjWZEHEAEKKZmIrG4YDVSVbpD5HdORU6pRYu4n6qAghgYyz03D/zxZwqFmeg2Dtbb5KmJJZW8etNWKBNu6Nb6NtEvtcCPpKYmzsZ5bvWyX/ENbvUeb9rWAFJ9T7TPOvSe31Pz97RVRqPg5Xq6Kt37uhkDxtsNA/4CH1/sDKYmKRTmg5GHdMsdrbdo+QutNzG0STg4WZkEZ9dpup/iO1rWL3FtLYjT/faEfP5CHF/kdSba9joPxZgY0U+jyE677wiQyz7Hw/bTRSeDvGFxT3EmR2dHtX4HelhT7R5w9SZ/7SKQoEZO/pMk3/PZFs91pSPkEoBIbKzYYeF+8t4ZVSZB5amJL8RlVOgEbo9USHfhuJ9I20/+6Ep+TFw3GYbuAEQvX1B5PJGnJuLaLNvGmeAeCoxGARl9KNJlC/t3KO9LjEXxOyjI0gmF72Q2wQ5M5akxk1fZC1qq9pMtFBaRCw5To/OQtHc/QS3iOvopriNKiH1l6nUGPOL1maprey4iANGJpV1W4FhbeYw1NYCJdOXY5wX80GsvS211bk61O4tdko1rL4r1QIvZb7FLL5vYoFinMrBAMT3s7NLNfsM8biffcxbExQiFU7/FBLlV+lKDJITCXihxKk+NBmqyoCXvFnM/uW5VgzER0U+DSEHLaQxxyx1CDN0S1NjuJ4eNS71v4lnG+lTdk1fzbhQCemw1b8/UeBujqczQ1LDM9p1QeN+35ITjhGVPIMbsjalhZkIorMaarGPiLFqa0hbnpl82aWd7Z5BVJQXqwxK0pHbifrpwLyrLE/Oa7idy7Uz2xWSY7HOn3RpwRLfx3S7gC2OVe8nwpceZmlH0OVfn9nbSnvtpMQkW68sF+5hKDOm9j4G/Q4pBkho351kr8Tyg3Au+zkgylM4YSDK6wv2kFuJAjotyGElxq9wYeZqahFsskfMl/j4Z4EK5nyhTw8f1jVt28bZsIyA1Ne1D670Mys3xOFj32E3A0dRkJVjqRZgalXTUzIfGbqr+l8oXBBiamg7ULNi+//3v45nPfCYOP/xwZFmGL37xiyvdJW1WEbzIgFKlDgwEHZtQAJ/JMZMiiRffWyxL4BI/d2rBSzEizU57Mk2N515IuTXKT+IAAPDcYimxrx+dwDuRYqfkRBl/1osL6Y5rX7RwMQFcvZDuCcTe1fE4myKYGtN1Rds6LNEEDJFqK66tXVdBgR4/o3Bce+eVZ6jOzYFJiqnhLvCJyk6wjZWMfkokmxObKq+e1RSG0TFkujxoSHcmWWhyv9kQN26ZBTN3A9Ke9WrD1Lh5apKbTB8QcfcT35D570ScRbST7wlNzZ6FafYuULNjxw48+MEPxvve976V7krcJtCXqOin1AKuojG8kEkrGoMDKl8XE2c12iwcseuqcHGF8tOlDkII+NL5N+D4z57P7lEDsfZgq+rXaIELnqepyVWG5VRbL/leSucx4SQbWTh0nhoDeNAPRB4jPvnLthJ7JkCPITRvxg+EpTMOx/qVYtQ8cNqGffKS7/kAIO1+8tw8vlB4mNByxBf5PkYJ91OczTPddSJbcUxLZua4kVW6I9E+UyZTI96ZiA7NFl3T+ScBTOQ84JXCMJhgbz4eFYFnWfZYoGT1eQkuwS21zqyw7VUZhZ/2tKfhaU972kp3wzdjkY6+JJlgalQ4uA88FLpXETeiKyJHjgdMyn7FF8uUmLcoQskM9aYSjIhFw8f7VS2I//u/zwcA/P1hO3FYdUyBB4sBiC2WVX9i122TUdjut8fiVOfynzX5qpG6P86KxcWnwHhHGwFMPRT8FlNCYdddYv0OcI+nNDWey9YfP8EZe2ntgRsd5y0cTkV01S/Rvg0gCpF+28VFKahJlfCQGyfKLgTX/ZRyiylgQu55WrmfCHjIAn+8xUixHrE8NX2McMNWj6lxMgrLxV+0TeWF8uq0pbSEXnBGpfXhpSN4e35uH9RoobC3STXK8ayw7VWgZlKbm5vD3FwjCtu2bdvyXzQVlu3lqZmA5QFS7qfxR5SWFJNKitXwfLj+ThtYO7sRePOjgAc/F7RQnY4yshiA9pP/aMSfie/WiAOmPKX1aeEWQ6TfaWpZjhGxC0sBW3ZdMlFK4GqMnxgD0HcyulZtY7tO77xN2xRrQT+hu2Fp+ndKumrqodd+4aj7FWE1dKi48ay956l28bL4Y+KdcNiFiaKfkrt4Oq5HbpkEL0+NepaAAB/x8deTwEMk1MulgFlodTymxhddl+8Tm1Mn1c5F5oFeYuzpAAne51EhIsImYGoyJ2hkKjOquHdVulfOTjjhBOy33371/4488sjlv6jlr4zuhitQo4+VbQPP5ZByPZih06RBITU1Xr/jC0+KZs0Q8JAbTionm59+DHxRCvx0EzIiGQJWbb4Mf9n7CqYxYMdTOUw0m6J3GE0dLg2IPPYhR8D+V34J+PIry+gAV0SaYi48PYUcA3FNTUqc6i1YXqHM8txxl1mPTP7jg6Jti7IREYDYCM1bbgQs5rQtU2MIq/1w8PjCoV19+pl4IuQkSKQfqCijOLvQb7W5sX9nHdKdAusc1GhNjaPlkGxKQeYnAWo8pmYKI9y41Xc/xat0l9/zjqcDFSL3JMskmL+xD/JiQmFdQFaPzXnyvOh17FQFe7ZQeJ9mal7zmtfg+OOPr//etm3b8gOb5G7FEgoHdSzVtmofWwzrJiGgV+1vVaZRf5LlE2X7PDVKsOu6n9qzKVX7Y7/+dBw7BcxggIyBLdnWOHdkYlC1tCa4p+r4Pb9/XPnH3X/D2CnF23o7vJRWw2OB2mhEYjvtPkbuYucLW8sDoyKg38taACJrgbfvSYPiFEC03Zf2sVSiQ/msKaCOA9PyeFrsGwcAbdrSeYKPAc/9tLhyGH5BSxUtpvLn8G7pitex61ZzyLj4rEhyp9gpEf1063ZRKsFzP9FnNQbUoxCahZMBbrjjJ+VCSonn/YAAUTpCuLZSgJsCzEy8b6lUBR2o2Y02MzODmZmZ3XtR00VEj1P3k2BTJtglpc5tFo6U7qfkZBbfOfqMiJe1Vd6zBaa8Ba+xh+RXoEpCWLUtm1T0cPsFT+XPSbELhi6mtjs2qeeVAkStE6+ZYvE4IEoWUWy761TPIz6BZ3LynxB4eGNPh97rc7d3fcmdtC+A1+8jAdQqAZ61cMQXLTdhpTx3EmC2D+nuZyPMJzYocaYmlZU8HuiQynSsQomNMVDrSJT7KUTz1PSzoQZ5jO1NbdjiAFNnnE4wgdJFDftY1a/qeW2bHWCDfM9DQE40NSEU9ZyWDDhR0WJyUyWeV5d8705mxkCOCc9U8j0LtER2SWV7MjGEYC7SbDx6Id0pSlsAkzRVSo+Tyb+6lUj4SnrBE5MbO7fcxWvgEUvMlmJqvHDe6jjr80S+dj8qK8W2xJNypcFDbKedqsHl5TFSNL2k4aUmS/wFd1caeAtzgU/tlu1jqQi3lMt2IuCaYokExe/n/UG8beaHdKfd0A5zIXPcmGPE7leO4Gb27WcjR78kNmxGpuxYRmEz7f8EGwHPFdgqqWTElZxKg5CPhfsnn3s9HvSGb+HUi25i9xsC3/AFNi/6jH4GWQeQzyEpTU1vbjN++dV/w1+8/xu4YtN2rLTtVaDmjjvuwPnnn4/zzz8fAHDVVVfh/PPPx7XXXruyHaOWpIb5TgfwFlJ/gmbo3rguEGdqUi6RVFhtauFgJqhQ9pHnHii/oI7Tf9MQXb3gGZM/O7UDAhWlmo7YYX2WIJCdygByDBTxZIXuGMi8HDdyQdKgOBbKmQauvqYGoNoDC7imgIfdrxq4FvpY0y+v3yE6PryQ26pfrZOnmYkOfVDTmm2xGDfnPQcQba+TLGqwzoGJYBec8eWFR9tuDQd8BO1+qsGasdmLhZqrquQTuD6be6LH+dhMu5nt455rszx3+b79w8nnAwC+dsGN7LzKvPk6xSJOwNQAAQ85+1U4+pw34m82vhZ/+YlzdV92s+1VoOacc87BQx/6UDz0oQ8FABx//PF46EMfite//vUr3DNi1mQVofh1mYT2gKg6d1SPkwk3T1GALi5tmBq+Tovke+zbKQDguHlM8OBNsnwhyVi/xwte1L0QD6ms3FiNUDgBtozJv7ZCMjV+gjPFyE0wUfYwSiQpS4AHyTARS4ahsy9PmouI/mmBPPt4A1zb/sYGGCtiv3HazROv8C16MkHiteracbYuDTA9pg9AdNGaODKPglcnw7LZ1sv6K86tk0rqMTCK/I46UzY/b1KflGBMYsyVAoAGm+uyqvTLBnBds/linDv1Eryo9w2WM8kCNcF4Xs1BQyg8bM4X1BxCvlyM2H3lCDj05h8AAB6c/xKbtosSFCtge5Wm5vGPf7xGjXuaKbGco6mReWrkQFZhfJ77SYuEAQqYuJiuojNj5/aFaRLwGIAI9vF0npq00FOcXB2L63Xk5O+0nZBdYPccCiXWnEgo7GWTFeC17/jiU4CopNrpcZF/gp1XT9BewsCySRwgphfD2HEJmCY7NwPkybGn2ZbYs05l/9auwMTzFKyGt4lIaWqA+E5dh04nwv4LD3gkQKIAvjqpGxcKpzQ1hcPUMI2IrP7tipv90HuVCXmiSuxeQtOUUBh4wNn/D/tlO/H6qU/g7wcvZW0B4OAt5+OIbAuuD4cgFHIeiM8hHouoWGQDrDPbA5bnvYqp2SvMXDjigwJIaGqcwdijYYBGCnzWnWRNF2dhsShpZ4efI4B/wpkHwF+UvMWU7xIKBibqxRR2v1M6obJJfCF2wVbWHLzq1jv0bjhyXfvc7SfKFPj0woi9bMRVn2KFI1PMAhAHiIp5MABkUlMT7VfKzSMWeHXdhe3ivQKwrc/tAYBJ3HUCEAFxpiaVfM8PNZdurwRIFMk/UxWvUwkYm+zfmqUeRISvfRlVZbryWKf4uRWryt29qUrbXu4dnzHjTHsm5sF7Zjfgmee8AD+cOU71Oy0059FPQf4Ozj3l0Zl+5awDNUttBgr2/M5g4KE99QuIF9Co3QR4YrrULp4M0GS/9KLEzFuUkhStvjbtY2aeu24s+iUXNH4u9onh9krlmqnsy+dfj0IyF97CkcVBol5I9fhpXSZhAs1WG+F0jEpPFWptF9Kd2KU7oJiZNTbdeyIfGJuIeKj5hAViUyyRl54/9TxTuVXYYjphSLeqG+W19UK6A881EwL4hiWeM0hpthIhyoypUeUXUsBVbwRi7SfOKOwVrjVYZssFB5Sh5sdkV7PvS6bGG9c5CswPbXDaRvzMrrsHeFI6ULPUZk445AODvqsPJwERPzfbaUcQdD0gR+K6yh+ud7wNINJgygUeTq2j9KLkU+2ambF3L/a5pcvNY2rEdWX1cBdsFWxSSUWYeEnfUmGiXoRTdV6veGj8uuMmsT4nMpwCcd1UKjzeG/c0U7bo4bhtiwiUYB9rU94hrslKizG9jYAvQk5tQPxq2EAc1KSSLHoC6J6TIM/st+kW0+dt2vrAttHUGO6nyEbAK5SZum517VGEBZrYxeiyuXpsStDHTcJ5Pi96m2MFAt17is97/KorZx2oWWpLCcs8sW+SkjZATfS844/rSUOHPXoLC8tCaS2kbtu00NNd8BIAgPaRJ99LnTu+k9Ih8O0XNNmvHIEzSA4TY5+bTyrJ8RM5twpxnyTHTSJzbyoMnV3X+g35ABHH5VCnz7bgn4hZtE0OHE8M7ulL/ESH8n1KJNJU038c9HhgvDp3HJyWB2KLVi+T0U8avMZDuidwYYt+5bJfCxhfcaYmHtKto5+M+XrBQuEWrryIKydVYFgzNb7bRzI11TdOu+hmXLWJlwsqw+ubMwQxp6bmrj3N9iqh8F5hqcnMjIqw22ZAVMhZHidUqeGaAsgAtUBNW9fEBOxA1S9m7LjcZRlur5bupzyTmppxEweYxHZSKQYJE+xYcsUgFdFFuvp+bCeVEmV7DEA9+YeAHDqzr7ezbCPo9oAYa2uBFgcgeqBZR89plrB1lFFKT5HcxfOx5zE1SDAAaaZmAlAs8sEAiC6m6UU+ntW8D5lLJuEaFRmFWb+SxUO1Sy02BpRQWJRJqNjLTNGvae1TD/E8NYsRwOtivP6cqv+WJsZPAVyycRv+4uPn4FH5L/CpadqW56lRmpqW817ZVnVkt1vH1Cy1GYuhF73CgEmqSre5046dd/xxfdwQCkcmuqp9bPJvJaqlH0yge4HD8pTnlguvwUwY162OxxfLqm11T3rSiLWV/ZJMTZoVC/x6AlwsRsgJeADA09SI3ynJ1jV/KdeC4dp0f2MHmCj2KQlcJfPggy32iVn7yT53OnJqUpebJxQ2QKDTFkBUY6JcoyqthChnMAG74LmfVL8mcD9V5Qpa56kRUVVAfPPSxtUXK8GwmIzC6j22QIzxfsa+Ty9UnfvSjWVivB70PXt5alyglknGaOVRTQdqltomKOoGSB9/CtkbdHg1iCLRT3Gh8ARRDwqojT+O7ngDQmj2Dlfdegc7xvq1KPdTWJz7SbErqXtKTDr1vwtkYmFJ5qlhY2Sy6KfY82pCX+223vhSQmETPMQmwjToTd+TD2oWPn78hJWt2UtxXEdlWW29fiF6PFkoUWZotrQrDlPjA+64S85L/Fj2O84gqX6pCCZfgwS6GTSeNS9oye8X8HLcLC6jcCrHlpdUMvUs+Xxlz8nluQrx3fLcc4OyjQQ1PciMwvKeaL/i855xeEWsAzVLbdaLzZgYYxKu2YGEuNDU41TXnTT6KTEh0UnFoIZB78TYOdL7vGzjNnHMBx5to4xkRuHULt6rhKsWS9k2uVg2Zu2EUq4rj5ngC5b+ndsDgPYLbcrN4wGTdBSaeB7G8biY1wefbZLv+cLpeFvFTBjjNNqvNvWbooulDxLhgIcKYMY0NTqjcIJBmkgo3KLoafS3SLNAsZBuXdCS1n6SpWk08EiNAe9d9cLBNXCVGx96zGJzwb4fszIqjaFYFCFgbgxcJCDKIDQ1BR97qYSCiB5dGetAzVKbN8kaOWrYYF7AJNuc2/Z11s0NJsebNECBSWRhcUWkxveBcnKvzh5t6+4M+Hd5QUvSdfPccQDQiqmhH4i3l04UGtSIcHBzUYJ5XIcCWxFysbb+7+TnqUkB10muawFX2laPL4+J4R+nzu2ML+u6bC1wNhHi3O0E8PRZ6+k/nZvHvie9+XH6Jdq3cW/GdH0qckq5z8X7ZubPqdxPqXuyxMDBPKaBh+V+agts5cZoktpPk21eyst5c25Q36c9r6yHEWtf6fLuf9kH8JLeV835iWd35ueeRFOzJ6CaDtQstRmMSYzxKI+Tge7pbYzjLBojIhRuQrp5RmHtS3dYImPXCaQAACuvBm7lBL9tdoD5UWrhiO8MYu6nmC5GckDWH7EFz3OJlMcbqyhu2ufUPaXBVmwSTi+GMfeTF42RYmrgXTcrJ2AvdDqVndlbwAH6G0/G1HjjWjEeot9eaH5Kz5Vm6+LPJE9EonmFI6us5THNhAZyqYWYLpap3zGepybpfppkQ2cAfS8LMrBw91OmwsUdpmYBGjZvbFrsHTs+tj5Gql9rB7fi13/5PvzfqU9hNXRV83mWgZlfJ8XG8bl+5a2Lflpqs3Y6DlPja2rkJOpkKU0KhVM5cKxFPH5PQBw8SGAi0XyGgNvumMcfnvgtPGbDLfik6Le7087opMp3L2piMK6b2mn74b7xfnlMTauK6InFsghAL4P9O0ZYoFRYth9yW7k87D6nxg8/t/wd5NedtiaD6ImQ4QJIDk4tcEk+mKigZRp4TJTTxVjA3CzcrN9yngkiGoj3O5kdPDJGUmUSfKGwcItN8DyAikGq5j79vo1Y20mEwr5+yWc306VU4sCWbl7sSEVrrrOsBG78u9OjneQetH5pxOg4MT6c36HseabXhBW0jqlZavMm/4j7aSGLDiCjnxYiFPb6HQdMrbLNGt+nx3/8y9sBAJu2z7JjbSYGcpAxNXxigJqQ/IzCPiDSr6s+d2WSqdHRPu1p6WRSQMTBVnVPMd2CHgP0eVQfxa/r31M8MaRmRPRuOAmoo4ApzQK5DJK7wPtCT/bRxIt0PMw9DZj8gALf7eFvnLzQas/NU103RM6tROzJBJ/OPRllEmKVxaeqIsIOU5NOzmff08Sh9x5TY2zIrDFh/d1Hoc7dCw1TP5XpYBXGPqlsxP47gayZ/Qyv6m63DtQstRm7u9iOorTQjN8kZa3TtteNI0LhBlAJ91Oiwi7TkMRcAO7C05xbMhcZQv0eWCyOt4tXodNuSLe1aNFTt3fzpCJjaD96mR4DHIs5C63oty7SmZr82y+GHgBIsQNK2GqyLbpP5XXTuilvAff6lWLUWF+TbZ1NhGivQI2XZNMw3zUh7sF085APLP1JxB2THtdCUyPDwT1XTSbz1HjM1mTup5SmJp5Beex+ir4T6es2ritnzLc6bs1d8XNz9oX3q59RBm0o2gfkxTw5rjc38yxPDbmOkzm86ld8FlgZ69xPS23eBJ5ialJF8MaTwnzoYTobgeWaMfJLANT9ZAmFab8tqtRfWOKuGr5oWdFAz7j6zTiiP4/PjR4HaQEB2HEbML/dZWokeFI6EINNyYoBBr/4Is4a3RePLEY1qtcC5skX4sqsSSMZkRNhCFK5ZrxCm3XbyG6YRZCItpqpsfpsX7e6tttn9okGn3HQIsGnnvxT7pRmeFjX9Rf4ePI9/51IhXSr7kzg2kqFyHvgI7UQe4t8qm6UbqvrN8XZYKn10b9z6+gn6n5S0U8GaEkt4rHfoUXhSGs+r44BzkYx46y03AzSObafGUwN2dQq9xNEskIxf1V93rh1FjdefTt+TdwTnf32hNpPHahZavN24WNgMUJeD0JPUxObFAboYxojl4KtzA/pbjmBR1iJtu6nvmAu7prdjofe+hU8tA98bfQI0XYMtt52dPnB/Z8prs3/zV/0cT+c5/m4TSdh6ucfwhHFIdg0M4O7sm8EDIYF3nnaZfitg7fhQeJaAQE47Z+A6TU2DVvdLzS96wEAV+uTiUnCTAhn75XaRD/FmAnljjPZgcQEXn+kwUNKdB1zL/Uk+DSYvKIAtu4a4NxrbscTQiHGjCcUjgMLwN+1akZtMqavTXHRmGsiR8E/MjZHUaGwZFOS/Z6k5IBTviHzx9dEJQdS74Th2oqPzQncTxNpZhpm9OfXb8V5123Gn5Oxqd2Xelyzfoikd1OgImyuqckQ0AtEPG4EMsTy+lAw/hsnnI4js5vxgxl+T3uadaBmqc0rk1CBmqyPXpivj3sUrEX9DtAHMOfWflK79JGhqWE7IYcBMI4BlNWQAzuwucJyP1U2rfy7Ypq5+UJ2nIIH7X6S/dJsyjFbvwcA+JV8E345d1fmgM0Q8I0zzsbnLrwDX84249sz/NgBg03AD98BALj6kCfiHuLclblMzXBe3iFUlJtBS7dmPQzxYXsthuVOmZwhKs+dYGocdoCxiBH3UTzPSAkg/+Q/f4wLb9yG8/afw13YtSmTMzlTE8vZkcolk9LU+EJh+TvqcZ3StsSYizalIfgcRJiaTMwhKXBhJneMjZGUaLtwmRpfJxSi7ieVT8hgRBYqBq/cm8987w8BAH+0/wCr62Op9zywvkiQw5gajHjtOXD3kzUfr9p1Ex6ZX4gzi2PY+EoJlMv3jTA1WHnrNDVLbS7jMfbnEizJdqXJCCUKasRLpDIVjz+OHG8TqlcUAdh8TZSVcBPVkb8lc0H3zjPgWh+9cGTiOP8ue+FkqLkCD7YbrbIjslvwhiv/GD+ZebmaNDIETBdNBMHlN20R59I7a35PAL71OuDNhwM3X6T60T5HiRZFJsWH1UemS81v6zEi6R1+/Lpe6LSnqWmubbfFuF8X3lgmfNwxx8eXv9MW4EDlXfFAYGn9H78X+MyfqxQKmtlKPBMjUV19uZRry8vbYoHAiRgkj6mxzm33S2mjJog0q46PnBw3Xmka5o4zfodUSHdrN6Aw+SxHIwoux6eMXLfU5cXBBZ1j+yJPTZqpKfCy834Xn55+E47NLmGAqGY2N12Cv+h9DauMcHDuflK3vdutY2qW2rwd2PjlKpCjCBnyLMCN9MjkJFuBmt743PE8NSpCySxoGe93BuDBv3gz8NVPAQ//S3VP7NymyLgZ6JK5oC+kBjVgJQaQ5eI4ZyIyY1HzJh3ZT2q/kV8MAFiXzZqghtdz0hNlZTr6afysfvTu8oNz/kudO4wXl03b53DoBJqa8jP6b2+HbzBIEbYuWTcqyTxQ96YBiKI3IF1EepZMCYkLZ/JPacVS70TKTbj6u28oP5jZMNG5veNNIsT4Lt5jahgbM4GLyD43H1/+8/L0OP49tdl01QxSMmJrEhZxguzfFjPlsN85AjCaxz2zG3BluBuby9psFC1msLI+m38K9t0MUlMTn4+PzS/hQuHqft//CPy/KeDk0W+ythkCQpbtGRTN2DqmZqlNDvRMsymjrFezFTw5n7UrIB9UTE0osSjLmRDNUxNnalKamntf/anyj7M+INpWE4LdVovY4gBAIv8sC8gZqPGYGs2+8KgtazGNL3jD0Isey8BdXRK49DI9YTe34Ee+VIv4P3/1IjzizadjbqAL/9WtJ2APqokvTrVL7YFmHrwIpoUmuUu19fRc1fE4G8cXJT0+KBgXC4dTRqO8p5TYlxyc3y7a+gLmimFq+qXHqavloB9Y2XnrCMz2oEW2DSGI9v49eeyTCulOlYjxXGqp6CcvItVigBz2iW0EJtZNBTzprJfg9Jm/x1PzswQjIpok3E+aqYlHP2UI6Bdz5nfLc3Ggqpga8iwfmP1S3dOeZh2oWWrzkP8YWBTo1UyGt2vgu4Lm2LBmapyFQyZeW0Cempilk++BvdxTzku0OptjxyRVqt1PfLeiGRV6bYttIX8LEe6AuQX1eXMjeoP2pTLN1PgpqSr24GNnlBPG7IDe//hZuxMp/boxUUa0BzqU3GAHPFaDfiBukGvF9O/A2SW9K20wiwY1fgSTz9Swhdg490TRK947Y/UrsYuPAUgVKbSAxdRvG+9XhoBRAP791MvwyBO+jcGQA+4U8IjndBH3lAqBd++pffRTddzVxbjuJ48J9tlLIODQLecBAP6k922TqfHYOCt7emU090y5ZeZApR+azaMUGdNxW76bHNTQn2EW06pfe1pG4Q7ULLVZCzz4izvKcsHU2C8222GRF7NafNkLVp07NGAJiId09xITtMcnpjOcSk0Nv6++w9SUfSN9Fe4n+gJKP3N97Wi/oL5LrXLrATyaoPouBTUyoouHVFoTNKKWIeDo276Li2deiGfkZ6qdExDP5+EDk/JAQ9Nr91M8O+r4o8izZMyCcZzlwDHfCX4uarnTtmwfByYyF5Glo4rd08RCYQusjW2kGLU2GYXjCxqQcLkxwOQs8jGNyGgIzG4z2Lzynt91+uXYuG0Wt2xrdGVpkOcVw6xAs93nVKg5y71jahHJB1b0U3QMpO9poQykYn8ZSBl3NQJsJdjwQrqnDE0NBTVW9BPvh3Axku/OYUq0LaBn1pW1DtQstVn+3WqMEE0NalDjlyOwhHRVdhUGHsagpQE841M67qeFMjWNpsbbVcQXee5+0kLhftBMBT3OrhMT5ZYdFP3mC55yPxFQI+ujlPcUZ2o8TY2aKIXlCPj9S1+FmWyA906/R7BR42ddfZCchGnb9A4/HZ2iz1u19Xb4nAnUv2EySiSyCDft7XPLrlpuxHi/4L4TqZ04vdZpF21Ux0IA3v/dK/D4t30Hu+Y1aPbYA9bdlCvQdDFVba3oTAAf+E3gX48Edtyi2lLWIxNjJARvHkAUbGmgpt9Vd4xk9oYPqMok+ExNHOTFczeVbf3Iu1TyPXodHrlZ/ns4KvCLG7aiiBQobv7mxykb3stGfA7JAvpO9FPO+hHUHEJ/h9kwLdp2TM2+b64LqcpT02hq8ozuOp3FkJx3QNxP0rUwrCOjqklj3MgoaAl3YYkvwo37Kd6WZdh1XqJVmQYPzP1kTNDsb9N1Uc/g0XuwzjUk7ifpFsslU6N0QnHA08b9xK+laWmPpmc2gVDYE/umClpOosWwd//0unKRju+Gq2vHk+/xSdgSfHtteb9SETk+4JZtAwLe+s1LcfVtO3HRjVvVcYwGwPXnQmb/nlhT4wlnY/PTpnFE3hWnG21j9zg+pbHxKo/H88Wosam0iL6AmWtq5PgSLiSlufE0NQmxb+Y/y/YlXmym5v9+8Rd4xnt+iK9ecIPb1tMtWgUtKVPjpdjIMw5qSqDffF8xNTKP1h5gXfTTUpvpG66ONaCmQbchKjzjkVHNeSlwGQoWaEhYHCA+aZRlEsgHEzE1aQaAvrAypJu+VDOKEYEANXpHS/9tL1ow+5US21EgpgTMiqmZJPpJTHZZbgII3k/+b5/NsydSLcZs725JVYZOFviki1KKWTDPbV+37Lcfls0etet+0kxN67pRkePWv4FqMaRN+RgBAh50wT8D156M0cNeTDjDRoTeejF1Q7qNtuwmtLuXgcQI25Ija8FcWIC7OjappoayLSmmxptXrT77wNXr80TuJ2PzctFFv8Arej/Et396MJ41zdtKAS+1vgA1cixOFXH3Ewc5wQBEDciWoKasa7dnMTUdqFlqc4VlVZ6aXj3k/BBB+1iT3F9rCyrA0yMTTvmPyfLU+ExNffloW+Z+Uq6a5l4s8NCjk0Ukqsu6Tt0kquWITyplv+KgpjxOcz3EJywrZLJHn3/eB0bthHs5AtZjJ9Z/6QXAQ58dmfzJBxaoqceApXmw244/iLJxqUghXldKjyX+0ziMyfi8BbL6ufAFz1+UzJBu8c7QPqfzrrCbVv2m15HX9RikHAFHXXsyAKB3rg75B/xx7YKtLETrFal7FsYYNwB50Atx6yzKpqbGYUwSAGEUmTdVWRIrOsoBeV6eGqZDmxj08vFhRT99ceZ1ODjbhtvCenVuviHz3d9SVDzlMDW+WyxgbWiKDs8rUAPICNWVts79tNTWxv2U5WNdTUoDEnE/BSP6abxIVq6pTCaikwUtEwuaB2pqvcVoHrjiNGB+Jz+etc/pYoMa0tdI9fHy3/xFr9rHep6Bf12+irRfqw232JRTP8VjaoCAaXqf+RQ8k/f41/0vY9UVXwc+94IWO0u9G/YmcC/ZHHdvWoyIP/mn6jfF2vJaWOMFnUxVXnRUJlxbubFgL7QYZmonTnUNcmxNoreQ1mjY7OuqLLjG5ijmIsoREJh/SUYbSvfTYlyU9PmM5xCnz15kFdP6eDpG4zjX1EwGEP1IsnjJkqotv5ZmRg/OyqSRB2bbxXf5XOdp+sp/c2DvuZ/opqqcI3nb1WGX6Ae9p46p2ffN9GeP/ygSTE2liwk5+llRv2AhBGSMqaHJ98ZtB+XA24FV9XmBSZgan9Vgbccv4Lrv/iNwwYeNb3C0L0O6aU4XrakR0U+RTMlVH60d8c+u34J3n345/umus9if9lu8gN5uZzV0qHkehuZ35d+6YFzANNntIO+p4/xvvhveH2SCs9yb9ANjJ73Q3TCn2hOshrgHL4utXuzKf1fjnrlqxtcdIa/BYkbZA+PcFGy5QnLjuaejnxA9TsGsHFu51LA5ugZpWrTtuFOM49xVY7mKvRQKYK6czBxf1XUTwMTS1ESBiQ8g2fjyNDNGW1Z4cuJ3oohGE6bKfyjXuQLc8TEgv+9paqYwUqxh33E/6X7x33gNdpG2CfflHmAdqFlq8/z0pKBltbhaEU4j9NBHk4MlhMaXXYCHg9eXG4OaXWEayChlzc9dWb17O/djwKXfAObvEP1O7xzXmoBm3LY1U2NFPzXfn5ufx4w4Xvcj0+6nHAF/+5kLAAC/euB1eAlrC4C9wNw4qNHpwPukr14CqykjpHuG7JQ8nVDZD95HKmB2a4sBwv1UWmwSbpM7JQYAUlW6gZQGhDUu+4m8njQlICqB/KD+fhBtm34FwSxU70GZwbttzpYQrLHl69A4qNG7dNavBUQb+vommxEB0nlZpigzKpgaGZZtudgWwtQoTY0VAp8oLFlXlk5patwyCQn2Uszni6n9JEW1EnDTzd9tYT1jayQrrecMyhTLDWxAv2g2VTIaVbqf5By5imzI5FzurRMrZZ37aanN2kVVf5CQbgpqtC6m/FnYZFa3zWoqninxhyWo2TlmatSEY0Q/FSEAX3klcNk3gBvPY8fbTLLecS4UjrMalvuJgoe5eavWSNzoS3bztl3RY+W5jN101S+VFBBM69MTOhg6UejoAmCGMj+qLpC3QytYUkBT9xJZaMtJVC/ixTiXkdIeeJO0cpfIBV4v4nFAZC8cBRn3IQBnXnkbzrh8EztWHZf9GgbSllHvDdNTXbvplr0Bue72nXjEm0/HZRu3mcdj90xzG6U0NXpXnmZqvMWUk0COgNVw4+QM1Gih8Mzcbfjt/Cz0MVSFEifrlx6b7QuAWuOv2iyWbedDw2BzQGRETjlAzGN5fJds85xDCEoMLiPH5Bi5a3Zb/e/bwoZo26of1Oh8JEELENAjTI2e98RGj22MCqzLKFNjbKrIu7knVO3umJqlNlfsq0O6LTX9kLiXgPFuZnwskCHI2g5KNL0rzNTHAM0SNf0qnGlUsxjyng7E1ujxDAE53bVmekKqzA7pjkcZyd2KlQa//mZRgIWRGAsNNY+pyTKu9ZHJ+fLETmk6zBMRgh2ya1mOwEGNN74M/Yi1oA3QwwyG2oUU5LP22YFUpJCbcZp+ULMxFTApF6Xn/uePcc/sBpw+Q8XxFROo21bs5iHFJjy//w18bPiUBtwjBzDimgHTpQa87ZRLsWn7HC6b3YL7kPGTconQxcQGNeTvBTE19YXFuX2mphS/2n0u9RZkvBrH/+wXL8b+0zfiLYPnsPe6nmOctql+eflzUrl3pKZmgD6mx7OrrxXzSh2kGCLqGrV/46II+IMTf4Tn3nEt/ljcU2VyUwQAd882md+t/rZcf/X5yN/TFlPjJt/j7JsErmsx67alPZUbupWwDtQstVnovfpoDCyGrEyCRv4VqGFCvIqpyXo1MmaLw6Biambq8wJQ165MvfjCZEQOv6cCD8yvirdFMBfYyuiLYQqFnSgj5n5iEE8fT7lMJHCji5Klqem31NTISSVDUKHr8T5zyxEwT5DZzrkB1oi2Xk4X5mIi42tmPAqTRSkj564FppsuBg68t+/aaqlNKci4rvpVj2PF1NSN2fEcAX8w+hZe2P8yZsN03b4GTIZep+lX+a4NxgjAEnYuxv3ksTxykbKPTc6IAOmQbrrg0ag8oPyt9p+7EQDwtN5PTF1HfUoJPJIC5rguRrkoW0Q/leB/DkxDBEzojhPvhPE7xmpOVb/xL2/dgfOv24In9mfZCsvnLv17H5k1iQ+9zRygN4pcU6PnHy/6qS+AqtTYrM3ioMZz4a+Ude6npbZq4SB0uCplAKqL0cXmRoqpCWzirxP3UX/32P20CxVTg6YtYIIaB3eYRqOuDiNUqTSr0CQ1+kKn8tRYolvrPE17QaXKtoH+Hd8ty+gnACxfwyQZhTME5pf2+iwtzwKGoZkZK3cM7XMMeFTnlhP4qAbNqWRhcM4d8OitXwbe/xvAyS9K6As08LRCoylTMxwvzA3TktVuMxYdRYTE1fdXj3eWa7NddXvK9MTDwct3ouq3BjVS68OPU02EpVugt+wxjNKUPm4C7Up17SKMn7lRcJdFG46ku5fv2nXEjl/jy4tg8sBFuqxEoUTGFaOp6tpZifscUGPluGnGXtplds1tO+o+yuOVWYv/EQzUWG01oKyMbv40i8xBjZc4tJwjm3P1MsnUGICavFt7AqjpmJqlNpKLpj9WzzRz6PhYoGUS6GRV/mNAFh1Uxw09DgNMFVMTKqaGuK6AhiWqIkwSTI210FYUvsWQ8LaFmT+msrSmhjA1bg4XH9TI40m/NOuXwdTAA1vxSSVDwHTgLid5nOZhkTYkk4bWRCA6yZb9ohN4YOdTWVstBgC8Le3zUzd/uvzjoi8BPV3orn0GXA5MAGBesCV0/8gzDnOmhorUqdjedvfaTE3lqrE0V0FclxodH5Z70s2B4zCjqYKWivkyMvvODws8/d0/xLHrbsM/i7bM/TSKRxv2ULCs2lX7hSYFZP2eMPqJudRqpqacN3tZC6amGQS8T5kN9IfIMT2e+7wiwkUIuPq2nXUfeZ8JWDDmLjoXSveUjH6S86KMfuJtweYfr8SCFVG6lkQ/9ay6dmSU6HQWu986pmapTYh92UtvlUmgPkkGeqgvPdTHioyzPPU4F+6nmKamygjZQ8HCxKVZCyy9J1/c6jM1rKBlJkWzYNFPql+ZPzF4TI1W9scnHSv6iYZ0e+LnaSv6SQiP+XGrt41VzArQuLaanSMdP/bzkKCnYWq02FL2y02sRj+owAXZ0d62Yw7P/sCZ+P5lup6QLxQu6siWOmwYGah7KozdRFUNJcryVG16JLR1SNkpcd3mnsrnUfWtGh88L5S9GAKCqTHYOp6Zt/2OtnoXb9i8C6/89Hm4+tY71PEUADjv2i24+KZtOOMKzfTxDN5S78V1HHqjQMeIk87COD6DAR72zd8FvvDXC8tTI8b1IBiFfgHT7eWVSbCEwg17HjA3HOFZ7/0h3nnqJapPIQBX37qj/lset/5dWap+HB1znguJVuwur1VgCpSp8d1P8r1YnxAK836tPKjpmJqltlq42EyiGtTQ6Ce90x6SF6j+mLiumh0rOfdwLBQWoKZJzldeex5TWIs59LKC+9KFWS8d7ZcPaqwcDI0xoXBCUyNNJ5mS1+bnYscyqamJMzUpTY0WA3vutoCZEAc1qQRWtNBmJayudo7pkgKF2tE2AMDX49Sgh7g/m2N8DBShhBx0R/vvp16OW++Yw4evuRKPnaZtm3nzB5ffgkeMRpgGdSGVhf2q/ld9rq5WMSbPfM8P8ZhbLsH/m+Jtq35NkXTxPLIqzj4FoF7UqB5nCiOe2M94Xn1nt6w0IgnW0Dr2d5+7AFt2DpD9/BK8S6TQ56eOu3ks9qDP3E/xyDwpVq3auwUtHXDxiPxibNhyEbDlIuCeT4if1zg3y+zLNDVto/r4MR7yX87JWZYZOscC37vsFvzs+q0Y3nATjpuh5y1P+rjLT8Czpi/Dz4ujxfOIgxL5mQKPWXDb8yrdVqBCPHHoFBO46w3pOsrUGOwl70d8HO8umxjUfPvb38YPf/hD3HTTTcjzHEcffTSe9axn4d73vvdy9G/vM1GDiU1m9TEa/aTFcjUgovV3SJ6aYC1Kg5Ly3BkkqOGAar6uG1WUETkRs5maql9FchLOHcRO9Qa6HEFwKcwUqMnFJEwtq5969Xcc1FhRWTxPTXxSkZYhmGUXmuNAkIiLGHXLVGCrHCMjQeHH2BYbNHv6gKrtgZd8GvjUW4BDj2HHpD4JRQFkTb9yBGybHdTnkW2LEHD+dVvw5/91Fr4zvQNH5ZxtmTOABd0IFCHgko3b8Zs9DVqqSblPoBAL6Y65D8bHqudV/abDcY4cz9UC8HEdixJZhTnMYsZlCaVV97Nl54A9E9rvVKRQ7DpSb6GjJHlbq5aWx+Z52hYK1i2BciplgBX9BIiMwcZ1rcSQI+TIyXgpAtDLmntqmPWAwYgzeU2fyu8+acdXgZyDgaot7YM0ztQYrnPyDGQuLA5q9O8/jbgekG7QLBaehnRbYN3LHr8S1hrUbNq0Cc985jNxzjnnIM9zFEWBhz70ofj85z+Pf/iHf8Dxxx+Pt771rcvZ173DJF2Z6Tw1eoLmbemiA8g8Ndz9VJ98HNIdzVNTuZ/CFJCVA7vvsAcWE0Mp2BRT46mQmZvHyCjMfPzCvGrYut9y8pf9kKCGRj/5/dLRB/4ORWp0+LkLo3f0eHPuql+UNUsxNYoJDD0ga9f2V370mvKPa85QfaJ3XD0PCkwy8l11PwH46TWbx3+XVoQMyCRTM2Yrx9Nt1X52wI9T0JKHAGSchqcRhbEq7hUgetaWTwD53RhLVJ3bY7boDtkK63/h3CfxvFWfwx/PvU4xHp5Q2KuqrPpl9E2XFuFtaV+L4TyoJkHqQHIDCHpiX8628AWPFUec5SkilEvNEDjr6CfqVqVsixcOXoGWKuS/0S/1kDHQU7WtHqGVj8r7mz57a/7kz9oCpk0bJfbNKKgxmBrqfhKASGpq5NzNAZGR50i4zernvkLWWlPzyle+Eocffjg2b96MO+64Ay972ctwzDHH4KabbsK3vvUtfPjDH8a73vWu5ezr3mFGWLYEFkMCaniCM8nyjCdVEf1kCoWr6KfAQ7prG1+72s1kEFluhdnup2Y37AuFdf4YailWo637yd7d0olDn5stxB5TkxAK6355+iSfFSsX2vgkwGtSVUxNunZYeW2do8R2P+n+pyJybOBL8slkTR+4lb9DFeGkwUNR74ZrwTsBNXkWcOsdc3U/quNNv8o2NLSeapA8AfNv52fjj7Z/Ap+Y/tf63BRAxlxXgNQ16Mn/eYPPAQD+cerjQILGp9aTeZ5U3qdUle5mjFjuJ6qpyQuhJSPX6pmampYFeY3jbMwLUNPL/HwxGYKKfpJu+1g2dSvqqtELliZrQzWbVJ8JpvMAfReqPtM+SOs7G7aUpoZe10wpEeLZ0GXSSDl39wVokefmCT8FS7YC1hrUfOMb38C//Mu/YMOGDZiZmcG//uu/4tOf/jS2bduG3/qt38I73/lOnHjiicvZ173DQsPGANK9NNbUhB4CDU+tX77qBeOVtkNAPBxcRj/VRQVspmaegJqpBFNTiOExCs1OKMXUyB0dtRSo8ZiaVARB+WSC+m51botdsM5tFbTsuQySd0921W96XfmsqfUZg1T+ZkMyycaqTlf9jruf4iG1Zb8SbJxhNHFkRhlF1rbKBxPqvwHuQhoITU0RKPcTsGn7LG8bKFNTgZpmIqeaG+l+qoXAWcCRRgI02i/veXlCYe56GLmaM9viu3wV/SQFu1kTxWa7n/zIPHoeq30YDYGbL2T6lKqtV1iSuTIEqNH3xM/NALmhqSm/y0FPZb1Mj3uZRkMyOZI9p99t/g6YIWOOudcSbQGwIAhr/NAxI91AXkh3uSGjYdsStHAwJcemZGJkv/hxUaJiBay1+2lmZoZRSnmeYzQaYTgsH+CjHvUoXH311Uvewb3O6ERZUfz1TrlhYqqf3XQPiF2D1NSw6KfqugMuFK4n5OragqlpM5mFLGeT9wDt3E8yn4W0FADwGRHyAhlhsI/vnY//2z8Jbx/+kUkHe4vJJEJhaV5Ibo4iqanxzMp03OwC6fjS92aBGlmOoPzQYmr839gSAdFz5xGmplqw5odlfzLhusoQSPRTdYwwNQi4ZXvF1Gj2qREKE6aGuZD4LrxyPdj3yBc0i+WpRKZ9F9TwhWFoMCbSBqFXMz45AtN1yH7OFDuA9z8SuO/TTU1NI37WLpN+GEQHIR0DltYtR4H9vvc64OcfrT/j4c/VpspiJsj7pNxPtti3ObeOYKJRakAJTKZ6iDwPfV7adijOTcdXNeta4JLm3ZIbldSGLMmIsO/GAxV09BOfj73opz5xwZnHZf6ljG9gVfTYClhrpuYxj3kMXv/612PHjh0YDAZ47Wtfi6OPPhoHHHAAAOCWW27BXe5yl2Xr6F5j5sLB6dnylWwevXQBUD1OfZxoalBPboRKHwuFK/fT+IQGUzNV92vG0XmUkyjfadDdjC9s9KOfrBd6SHbavqbGPu9ovIP77fxs7JftxD9PfQwPzq9k3/H6DHC/dCp/TmW0jlLMMugkg/LcnvuJTiprMsHUwGdqLHaBgmaPeUjqpgxrMvdSv7pehGnm3upcdOG4667L8dT8rJpNCwLMb6pBDb8uncApqJGuCXrPVAfE+plZmhr9vKrnSceHSlWfCXBgMA/SqPsiR0FAonZd/fbsN4FNFwE/+DfN1CBgXoDEyjIU7iaCft8CNRmADQTQlP2mQvTxh4Z7k51vDGp4+Dz5spwbod1eQ8JCA/GxbbmfRmJ8yIKXQ1pXKurK40yNJapu/s3fxapf9b9V8UvpfpJMDY2805oayRRSm8p8UOMnFi0EYBqtOKhpzdT827/9G57ylKdg//33R5ZlWLt2LT73uc/Vxy+++GK84AUvWI4+7l1Wu5CM3R0rk1BabrxgcsdRFAHUrcUyq4qQ7p2kpjXbiY9DNal7wNJ5VMn5GqamOcbDZuNWisd8jYk0WrtHF2Tz21btexhhOyki8Jj8F6JfdoBRE87ZnHtG7XZgMltV1ITc/bC2WcBMFmfFcvNZZ/UokW4yYJzLKLPZg1HI6knR0tQM0UTAWSnfK4bAB672GKDjvjpuMjUAhsN55sqkeWhecsubcbfpa/DqwV+MjzVX5EyNbNv8jtNZhKkRidfkLr2yeuEhrGuD1ZvvVkwPXRwsF0Blvay55yY0X//GVdQVMHYL5BmKka1nYxFMxiJesWKm+wn+2IzdU3lfxgYFFADo8VUZe2fGoGaIHqYky0PuaYAeVoOzT7SmGb3HWC4aq0q3dC+5TI0Ij28SmvL33EqCV1n1Tpdjx/5teFvOiHhMoBX95EVe0d+1lxWQ042nYzTdT3sLqDn66KPxs5/9DGeccQbm5ubwG7/xGzjooIPq43d6QDOcA3bcar4kSigccjaB77/jKuDjrwJuvQyAsWsQQmHlPgjB0NTYIr75OkEVTE1NlQm5BjXsGF04jEmYvNzeLt9iNeii0wsjtWJW544xItXCwkO+5UQaYC3FrYBJjKlBlWXZuKcxWCrFzx5LFNTTKsYgzb4PKV6tTkNYwlCglwVTN0OTKMqdNNdsaasATxnZoo9TsFWdwKLpp8IAr7jgD/DU6f0bd0HdrwJrRtsBAAeNC6dKLVnF1FjRT9X1KFtiV+nmrKrsp3VuqyRA1X4S91PGrj0y3yeadBEAenmGwUi/WzkKvnALV08pvK4WTn2PbTVskn2yzlf222ICLVCj3U9U78U1NdVvEQdMbYXCGXSWbcnWaSanGQO1K69m8nrjuYMzNTo6SrufCuT1JsSbI+ScqpmauKYmz4ISfPO2NGrPcD8xsO5ravYE99NEeWrWrFmDJz/5ycvVl73bPvREYOPP6z/NCBPx8gHlS/KMS/4B2HVV/Vm96IwXhdL91LxcoW47frGHc6h2jtT9xK8thcI2U8MmJOV+0roFebx6uf0yCXqCo5OGtXOszm1Vty0JUO1CqDQ31aQhKdymfRyYVBab/Kt+my41sgtPnZvWT6nOW00g1rnN+k3jZ96EP5f/L3elHoUv3ZvSWLVrwyw3T/XdCpgCwAPwS2wY3IKH5bfg5rA/OXf5/Yrpmx7vfGn0U+YwNTmoUJi6n6yFVru92G4a+riV46ZxP8Wjn5RQWJzbGpfUNZGjQC/P6yehz01ZjWoD08N0Vs4YA5H3h57Xcz/Ra1lMjbm5gXbVUGBR9Ys+o51bb8UacN2eFTlVPZOSbeH3OyAMJAAVHVWZxdRUYDylqclAXXkNezSDAaT7SddYskFN9a56EZSS/faS4FklOqjp6Cd6Xs0aernBeuA5y/YE99OSlkn4+Mc/jiuvvDL9xX3RCKAB+KJTTzh19BNZhLOAdfO3mm3ZrqEWCjcp5OocN8MmORJ3PxWYmrutrKQ8Tn9OhcLThs6D7liCyDVAd462C4kKiT1Q4zE1tu++qCcz61jzGqbObRmdKONmJwWM6THodVPMlaWpKULjZowBpqZt1cVqomzGiJU9tSm2qtMJMEbEeGDDxD1ZeWpkyLbUZGnwUChgUoTmajwip2rb3G9KKCxD4Bt9m2SUOAismJrhqEAgi3T121mLvrxHgNekkqwsNVmZvN+z9TcZuZeyIdeY9FBgULmfjJpCXsAAA2OGG/Qu2Xb1meWqocCi6hd9n4pdWwDw+ckWCje6mViemno8RUPNC8wOCpx60c3YNS/d8uMxEQvphq7iTt9zqp1TbAp59nU+HPKuevOPBg98rNFnOZ3JYwKIqLpR3H0kN6S+XkeDq70m+qmNveAFL8DU1BRe+tKX4j3vec9SnnqvM77jGH9Idht0gh7m0yz4Qr6ctLouzyg8jpwau55C1quFwJU9+ScvAr79S3LuZtKYCfNqpedMje1+on2LtfWEwlbUEt0J9Qyq2nvxA9lje+yC1Wd67YVEZXltU+46em4FakgLG0wZ7k3i0sjqHlhV4q2xSWsohfG5/XuyjLEeGXdj0YSTGfmNG7aFHB9fu9r5UnE9f1LSRdSMgSioqZtqvQS1JvqpaTs3LPCkd3wP91mzAx8EZwmt34m66yrrEfdT7NrldTmj28/5GK/dvRlfiEIoId7QXIgtTU07psayw7Lbo/1mz5q4xKrj9Hmty0pNIAc15KRW4kgl5h23rQIsBFNDmasTvnExigD8w2G/xF9Db06GUd2VduXR8cE0NSrrr2ZaaFLJFKiJnQvgQEWJ1A12hRrT1BjzpJfw1AotryIXV8qWlKkpigKXXHIJ7n//+y/lafdKGwXL91tpanpskh3mvMLxjrB63Jb4hslOuhoyNR1egZr+ajYccxTYb8dVoEYpWt/9FFBktvsJ0GgfaBalcvmZTOxLJwYZkkivbYMWf2IwC4Cy43EWqLJSU2O7xWLXbYCHvWhVVuYRkaDGdqlVRhkTVceGMjWZl6eGRuZJOlxPWNXx6rxeSDcQaqZHhl1Ld1y1uNGov2qRrkANZeNoWyUUzhoASccRT1YoFyydgwRoflM69i66aRuuvm0nzr9ui+qX9bws0FJ+T4Kx+Cahat/LOVPDNTdN+zt2la45mpMqrqkpWguFWd/GLOJh2W3GMTo2LaYmDgIbzd940Y/owXKDqYlraio3Ea0NVR66/OZtZZ+rMVAxf2bG4TFArFIRCCYv5X6ykuul5q6mLZ8TvYKWHouT+ruSD/BrkbGbybaiX9mIM2wrYEsKagDgqKOOwste9rKlPu1eZ6xKt8x8GQRTk3FQsx0S1ARY4eBZFlAUBfCNV5Wn769i7EoGYJTTEO9m0gAQcT/RUGHB1ATu49f3XE0M/g4v6X4ytCsN8Jgc1LRlF1JJAafcflli3kb4mookkj2ji2WKqZETP30eYONPL6RFAM6++nZ88afX1scqQCRLRci2lvGip839lf1q2loT/Cho0FNR6ZSh9HQvrG3luiLPI0dAbzgL/PQTwPabyuORsOpqB0vB6UyfA81A3kfrd7I0RlS3QBdL1TZwd++jwgXYgDvqtpQ9oL9HUIt8k6FZaTGyFFNjv2/V874rfKamyZPVzF8j53lRpgYgwESFdBcq+mkePPneSAAq+jwqq9yXMgLOS773j/Nvx9unTjTGXsFYEhU6Tf6mbeu5y8l1JQGz/JteS4t5fZaHgn9bUxPf7Fkam+HeJBQejUa45pprcI973AN5nmNubg5f+tKXUBQFnvCEJ+DQQw9drn7udWbmamBlEpqXaCiAx7awtm4LjF+w6qUmmVUzBBxe3ARccRoAoLeLa3NyFIzmBzhTY+VO8YWLzSSbimCyhMJNdJQDPLKAvuF+8oAHVXfYmhtfU+MxIpXIOIddvqEtU+NragoVadYs4raAWUU/3fBTYP4OAOXzoInaajbYqAJfhIA/+o8zcZ/sOvzeTHnd6npWvaqGHbDvh4LPpxffw/nZYcq9JMPnG/BgAZPG/dSGqSmfWmBtAzKSwTvgsde8Gzjrf8g92eOj6hddDPuCLWFMjcswUj1Ew0QNnfeNMjWPzi/Evw/eDawC/m3wR+rcvKgg/517xGVSPy8SmWdFNVUW0/pUY/OQbIvR7yZDs6XZqua+dqCmqsFUsS1Wqgybqdm4dRY/vWYznlGU7jhazLcyW9sUcMfcEP92yqU4viifcsW8H5xtwVPDGUAPOLN4ALuuzEeli94a7icyn3sbH5nmQrmfjPcp1g/5NwVBVioHr8CwBa6KvQXU/OxnP8Nv//Zv4+abb8YDHvAAfP3rX8fTn/50XHXVVciyDFNTUzjllFNw7LHHLmd/9xrj7gFBk4YcgYS7DmJMTZV4LMB0D5QROc3CE7LGrVWeWy+m86Camrg7xRL7cuGiw9TAjvapIphM5mHsKwds7YoHPKhf2p6EqwWtSRcv+wXYif2q/DdlWLbjXnB0QnInLc3W1FCmxgJbDQA4cv4K4D9fRtrmdetadwWYGpJqAqp+kyF6qFyHslSEbCsXYur2ekR+Mf4C3wBmgL+b/yvWFohHglTnrj6bIcDEAqc1C2SwPNWES/VJGYD73naa6DfRqJHPK6qdulPqTMd1UsCsXqQt9xMNUa4szxoYPiIaEWn0ef1KdnP97xf3vzE+brB1aBa1Kqt5hoDnDL+IUW8Ol4Qjx/1qsv5aoIaCeatf1e9ssTxmWLZRkNcHNeMxEQITQVPwMZ+o/fSHJ/4IAPCkdfNYDe5+qqzRxXD90r9+42KcffVm/M3MCDMZj0SrrErQ2eh8Cqapqe6vApCcqdGs6iTgQbuQ4pqamB6n2mRy1lQzNT7Y0tdaaaamtfvpVa96FR796EfjggsuwBOf+EQ89alPxf3vf39s3rwZmzdvxu/8zu/gta997XL2da8yT4xZJt9rFuEYU8PcT2yn0+w6aUKmjU9+HxuOmcHU1InXMjuj8DA0E6VkW9oLhe3IGM+FxEO64+DBWuCZ+8nR+mSAnVul6pfRlrrgLO1BtZj69xR5XoQ9sITChdMvOgk/eNfZoi0HeZKmp0CsKXSoQfMazDr3pLNGU4bo7qSGUsYSjVXuJ7KzzJrIvvrcgm3h0U8FfiXbiN/Pf1BP0CNyvxZTQ+tGhQG/r5hYd1owNUBQAlI60m0huR3dZJV30G2bCDj67t0lu0O1pe/bdMajn2ayAY4Pn8DfT30Wh481MNSN4wGT2CahXohdMK+ZGgpqpD4D4DogoNrQaT0Oi7KpNTO66CQAjEYVyOur4zIyr+r32VdvZvdvzV0zomRJL7M1NZaGiIKaVkxNAtQw5lMBDRsAVWNAampk3T4vf5fFAq10SHdrpuass87CGWecgfvf//444YQT8N73vhcf/ehHMTVVRtu8+tWvxuMe97hl6+jeZlRPIZmaQchRkBTycU1NtVtp2lJQkyMgr0DLhiOw7ehnoMB36/NYYbfzZHfnuZ8spia2066Pk1wPVkFLSofHrlsueJMJhVMUbkoHUtT9TvQrDKPRYt7ziEU/VSxQjkAW3XGfSG+9fuUosKHYYrRtAILKOGxETlFdS9UXq15VEbIos0CB2Oawvv587RgcWVl/7XtqmJoKWMjop+/NHA8AuDVsMM49Zp8yDdRKZoKDUw7GG6sWe8ogNTWUqPspHXqvnpehb5JGR43vVrU3EdX7RjcJB2Xb2LEcMWF+D8BQzQHVdb1+MT1hCCXoIHm2Gg2SAaZkNnWSeLQ895htoVW8qzw1QbuXyr+rkG/L/cSvW117VP+bu/J4cVlZh42/MzVTg9JVR11I0wzIV0xNe6GwV79JuZ8y+Twa1+eM+L71e3p17bQbbOXz1LQGNSEE9Pvj/ALivwDQ6/VK0WpnALieov6J6+gnvpMeZDwMu0r131DrVFPD9RI1E5PnKAJ3rliT7HyYGp/bBzVZpnfilB1IAYBYlFKsX5TVMPPUjAFCSihsTQyBLhwGVeMJFyl7MCnYoot0PK/PKMLU+KHC1I+/frSFHSuv1mgoYmU4KOChkT5VXzz3k70IN7/DPJlaDsk2i7a+JovthrOGbamMPstqkWZjT0zCtF8ZQr2gyOtmwt3SaGqa33EwnuOsnbbFeMTcpkoLZOSAqcZAD3a262FiXA9qUNP0awN2sGOZAfL4ubXRsH9PxJ4j4IjR9cDbjgbu87T6fitgbI0B7X6CADVWpnbOTKmQ5FqPo4/bTI0GPda7uHYchk6j0Cioqd2X9bi2gWmbPDXa/dRkp5c6RU/4zfsVYWocwJTqVw8rn6emtfvpYQ97GN7ylrfghhtuwAknnICjjjoK733ve+vj73nPe/Crv/qry9LJvdG4kLN6+bT7yYp+2hmqStvjF7sIIvqJZP6oQU1/DGqaacifNDhVWhnftcY1NTHBbnVuL0Q1BYhk8ih6POZeoq6J+Ln18RQjQnfp1mThucWoqNZ7HtKNWF3Xy71D3QcWU0P73SajMJ3cffeTHf5c32WdMLCZ7A7BFna/OSK6KmPhqN1PyInYV5sHqCVzJY0ulD3j2pbov1oYQ/BD4Kk7l1oboTBLzGa4akaE1bBSKFTvOgXjG7Kd4+uS1A4uMDHeiZCj+hVsdqrp10vmPgbs2gxc8KnxeRumxnpe9fxUuSwlU0P0TY0AvmJi7D5Xf8voKIAKhXP1GRBUdBRtu3rsvqdt7Y2ABg+Vpd7zylR24jrpZHXuuKYmZtU9paOfJmFq9iL30wknnICnPe1p+MhHPoIDDzwQ3/nOd/DiF78Yhx12GPI8x+bNm/GVr3xlOfu655rBUI1Y1tbqe42gjQtbhQ9Y7IZ1nhqqHxgPqqw3nnCbKd9ahHn0kwVqiNhXLLSxirLNcbqIxxdiL2OwDPdt2sYBUQps0bZ5kLv0BgAsRuuTilDyBcz6eYWQ1WJyf5cOTM3ezrYnOoR5J7DzdjPXR7VI1yUlCGhOhXQHsSOjizDt88HZ1vqeSnecHSlkhcfTsGz6vGJtrWfNkjOajEjT1nIR1M+LtK01H2jAvBRNAnFmy466kf3yRaSUCbTSIFjup/UoQQ1N8GlrauJaH+4yscBW43qnC37Ztgnptq47L0BzKACQ34QBclGMNaYD8txPllC4+oz+ZtV1qQ6ocqvStqstnaID4tpmFI4V+R0ZY9MDR7ytHh99WMn3JgBbexOoOfbYY3HNNdfgkksuwX3ve1+sW7cO3/3ud3HSSSdh165dePKTn4z73ve+y9nXPdeMEGSas8VNRQ8tyA1iQqn90ignDFMoPGZqqvP3YNdJotFPfg0mzWqkyiQwXYOhqfEihag7xQM9MRdR4+M3GITxYlqeX7smKku5xTxdQyrE3dbUkOR8iqnxk+81bQscOAYN9LqBuJ/+6szHA2cWCPv/CjLRduQwNauzeEi3dT9UkEsn4Srsty1ApMeoGNNjW0bOsy4yyuR5bX13Ct18UPdRNb686CetqeFuDzuqr7nnNOA2NjBBbyIqpmYQ+rU2ynI/0bBs+7pci0WNvssywzkFOW1DuilTQ9kYXaWbi4zHB+s+NpobDQCsyE76vUbs2zzntXUW5GZe9Fz65vwRsrocjZcPJuZSsqKyPG2O1S+ZM6qN+8mK6AJKRnGvATUAsHbtWjzsYQ+r/161ahVe/OIXL3mn9jobeW6cMsIkhICsrv1EJ2ioCKXGHUJf7Go3EtPU9GpGyNvdDeqfPMYeNJOs1NTQ5Hu2a8tnJvycLs3zmpQRSeepoQAyMP9FCD54qH8nJ7w1dk+UTUmHfMfdYrampjn3gdjG+xyyWohO9TzZlmvGbbX7iQmFs4qpsUANdQFJpoa6YppJ+OCxpoa6TT1XHn2WlSuSAiabqaGuz7imxjI69mxWjCYULPDOqffX2hTOTjluHAEOpKbG6l3q3NRt1jfSM1QuJsou7Ic7VFuLNbMS1TX9alIGpICJBWq8jYAU+0pQQ5nkWPSTFbKdOs6LhwbV1mKZ12EX6zNgu588d1v7jMI24JGlbAAbiFpmiZ/7mS5WG2MJc4yUW3Svin7qzLHCc/NUvnc0oAY9NkFrlwinrGlYIwVEOUg5grxXL1DeSzKgfnhj8NPFUi4OzP1kskCVCNnWtnhiX7pb9gSXFhNDI4fSNZi0+6kBRPG2QIyKT7vFYnQwC/k2xoDrFiO7cBndEEBF2R4b17ifGqFwM8kmMwoLgBiboA8ei3lT+qSajaMuIKqpIcAl1jYjO3N6zANENA+Nx8blCHhkfhF+t/cj855tpiblfvLdPMEZA3R8WSL2Qb1oNcf2z7hQuNTUWHlqynfVW9DKfnmgpsDOwEFNQaLrLJeKmVGY1Y2irlPO1DT6peb79Lm1Sb43PqH6XjVGKOhdM2YyuftJvzMWeKiMjutJMgrLcy/Eqt+Yvot9jNTcHdNATkEL2Fmo/QpZa6FwZ44ZoEZOVrTUwVBQ6ZKpkROwzFNDF/F6Mcx69UveLrlVLEKJMjVxobDVdp7ssjwxcMpVYy/EcaDGk6t5C57uN03qlgREUSo+TcOnwrKtfnlgq5rcrSrJMcZE9suOAmn0XqsM9xNd4OXTYO6nBJiKLqTgC2VT0JKAh4R2RWtquMYo1jaHrecaksR+982uU+du7tnLU8N/Q1nQMgamPLaOu83ivzNtexdsZ8fyiCvQX4gbsGXlqaG5ZubFvpnOXzYgEpoawdTQ+WmkNDXavUSvYWtqKp1ZSlOjf6e1FVND7tFKg1ADIgPEtdbURECN1CxNYtZvbBW09FhCq87UaF8qaHmnNQPUyCJ5PNcMFwpb4tXy2HjiI9FPdEJhwCPvk6q28UljnoEag6kh+RokQEjlqWFMjRM6bS7SJEpkckbEp3Cpa0Lv4n3w4CXXY/fkVh4v3Hsqv6NFt8E9d/m8LLE3Yw+sqBmDHWiKSjZRRmtM91PVZ/t+UtonIM7GjaABUZNRmGh9nH7ZQuFG2OqB3li/qY7oqGyjOrfn7o0JbmuGIDjPK1C2znfJTpvuJy0EXTUOkacAwIsYjIEpH5g0554z3E/tyiRU7icw/RG9Zxn9JBP3lf2jepwq+omCee4GpJ9ZoIY+y3WWUNjUofmbuYUUtKxsUUyNAUz7xlzVc8T1Wig86piaSe1973sf7nGPe2DVqlV4xCMegbPOOmuluzQBU9MkEqO1aLSmhk/AIQAYli/QrjBVDzlGl+f92pVgRaBU1ojpbDaFiu3khDUydjPU5tm545NwWqA8GSCiC4vLtmQWO+WDBwqILPNdRJQh8twehesysROc6VDOygKyOhOtydQQAPm0/Cf44NTbsd/YLZGOfqL6EgkefJaQsnFe9BO9p5m6oGVzNdqvikWhZRIsgEgBlb4nH9TQRJpHZzeqc1dmAcghEacOA70Or3dlu+MoYPJZRNv9VIV0xzc3MW1dExlj9CsRxj4XmjlkLliamvT8ZAmFKavqRT+V71KlFdNMTUaOV9ehSSctTY3FTKwxhMImUxNhNQA+Nk02N8Q3J1W/Y1bNATEbGYCoh1HNSI+c9kPjXS3br7ympjWo2bVrF7785S9j+3ZNd2/btg1f/vKXMTenUepS2mc+8xkcf/zx+Md//Ef89Kc/xYMf/GA89alPxaZNm9KNl9MMobBV8wVFtUviL5Dleijbkhd7ttQlbA1r+QTOhMKNEwbwd1GxhXYXpsdtU/qSlKZmMmCSjhTyaHqSH8V4+WnyPY+pSbmILBs5TA5l61L5c2z3UxqoWfdLGRObEWlcIidOvwtP6Z2L/9P/bN3WjX4iY8+6LuCBmmZc+0LhGDuQq37RUPTynvRvzJ9lHFADiORIatyIR+WcqUmxUxQQWUna/DQHfp4aJvYVz3PE+uVn7vXcmwthaqp5IAd3HZVts0RbC9Q0LDUDNSKppKzfVF6DaGrGYOv++bU4e+ZleHHv62jKXdB5V0c/WSHdFlNjg5p2QuG2uZus45Meix2nffTPHXM/7UWg5oMf/CDe9a53Yf369erYhg0b8O53vxsf+tCHlrRz0t7xjnfgJS95CV74whfiAQ94AP7jP/4Da9aswYc//OFlvW7SLKYmNBMhMH45t90EALg17IcGBAfkJMfExvUPVDuGIgCY3QoA2B7WcEBUu58aUOPthGhUg3IvhUzsdsQ9keFiHZ8jLE8svXrq3BlCXSuobdtA6gLZ5yYaJLWLpztHCxD51HCb/DnxaDDqctMuSG8H5/1OjD1omYPk0CrsmuxYU2U0pAW2CPu/saWpaRu2b5ZvYKBYs15VW9ul1ixKqYXlbuPaSZUFNI64VO0nKrRvtEJxbUpAE+5rL4hUCzRUxxq2zgs11/NAeVxHTjX3RF0mFmNbgRrNBtPxZSbfCzrAogIt9J5yBKWpkYzJr2WXsXFW3fMzez/GwdlWvG7qk80cC62to3OYBfJmhCsPiLlGE0LhwOd7eTzWlp7bMisyipoVDk7nC+/c1bOU2bmZ1mmFrDWoOemkk3DcccdFjx933HH42Mc+thR9Mm1+fh7nnnsunvSkJ9Wf5XmOJz3pSTjzzDPNNnNzc9i2bRv737KYo6mpX5rZ7cCOklG6NhwKEGBSsy3rD8c3738CmaBJWONc2fftWM2YnF41COvke6jPbe7iA11o+YQzh2l3RxsSC21VgiFHqFOTU/MAQNL9VDEi0YzCaSGoteDRHdqk4ubUcZq0LSVQlYtDW9dDjLkqsvju0MsKTBcsu3godfMY160XrDhoiWtq4hN4QKPF8LQ+MfdTnSU5s7Ik+yDQXZRISgAv+ilHYJuCStvisSlcb+ELmGW/GVh3Ckf2Mpup8X6Lgrg3rX5TbUsvaAYpOGPXrtJNQA1hU2T+ryEJrX771H/g8zNvwN/1P1dft7qnAdENVjmUAmG2qudB31lP20TPZ2cU9jdNbcTgsTw1i2NqNGih4NrT68TOvVdV6b788svx4Ac/OHr8QQ96EC6//PIl6ZRlt956K0ajEQ499FD2+aGHHoqNGzeabU444QTst99+9f+OPPLI5emcADW7sApbsA4AWSg3XwUAGK0+ANuwlrtEKlDzzHdh28xdNVNThJqp2RbWMFCTGcn3qjwjKReAXGjnMOWyPClB7jxjauLMhFfZN1ZSwANTdLKLJTErj9nupzY1qVJh2Z5Lrbp27Hg08iXE++VralLRT3EXEt+Fx4FaSruScjFOWom9TGVQmifGjEU/Vf1aZ5R+oL+TB0ziIbmIHqdMjSnMdxYtHtIdf5/KJGgS1KTAVrNgue7N6D3Hf+cB0dTYqQriOhGZQE8GSdC50WNqnt4rtZbP7n9vfD9NcEblYgeAR+QXk3NXmxDL/eSMTTJ+vESGMdDSZlO1EKYmBWpSImPK+KpzR7Q8fzt1Mh57xvOB6891z72c1hrUDIdD3HLLLdHjt9xyC4bDdjUndpe95jWvwdatW+v/XXfddelGCzEBai4pjmDgAQCy20tQM9zvqPJLJDlaTXPWLqRx2wqkBBCmhrufekbyPbgLSxzUzKOf1B74oKYplulpalJMjeeqSRe09IGcJchtnlcceKSFwr5Ww77naicdcz0gfu7Qix5jC5qjEYmxR57mgTM12pXXRh+QEgrbOqFmQbMofvo7eb+xXc+Kgpp2SQFpv7xoHqqp8di69CYi8TyDrjzeJnEfENHrBB05ZZ3bmwdyw62a1uPI2k+oi3UG8qxLTc24kcgobBllambIb3zf/PryOoTdtJiaVDSYN0a8CMm2G4FYlmCdKo+f2zNPZFyeO37cA0SH3H4OMLvFPfdyWuvke8cccwxOO+00llGY2re+9S0cc8wxS9YxaQcddBB6vR5uvvlm9vnNN9+Mu971rmabmZkZzMzMLFufahvxifAyC9SMmZrBhl8BQMSrGdnNjMOyi8DbUqHwtrCm9rPnmQWIoCbZbWE1Thz+LtYeeg+EmyiYEkxNaJga6wUMZHGwhcI0cmoyVw51iUwKiBbrfvJZoHaaGu+e4sdT95R2bcUX2tIs7UoqW6zP1MR/pxAS4JK4Ps08NQ6zQMW+XlLA8p2w3E+lrTXdTwlQUyU6NEXozbl9UXbsnYjv4kMCmDCNUma5n+IsEM0f47NmvhDddm01DJLtfmqn9QF4nhoKiPKMuJ8KLRT2+hxzjcY0NbzPMTdhaZO6kNhGwCkfEwvpXk6mxmuf0usgX3io+WKtNVPzohe9CG984xvx1a9+VR37yle+gje96U140YtetKSdozY9PY2HPexhOP300+vPiqLA6aefjkc+8pHLdt1WJpmacKRaZPMxqJnfcI/yS1n1HwpqygR6ZvI9g6lhYddG8r3q5SyQ48TRs/Dt/mMZxSon2TlMw2V5gr+roNSxHZ6Y3s3E89TErxvIMPZrUmnQ07a+Tsr95LFP5bnjron4JOv1K8Vc+TtLANFkgm3CsuOuPO+6i4t+qu7JZmqaXamKfiK6l7UWU0M0EV7JgFg6AU+7IkssqGu7C14qAo4m0BPgISSYGqI/8VIGpEPN49FPVlqIIvFOUNcVAKy++jTg4i/X16Vzn6795C3wPTL32SL3IBjMjBwrnHxCZYFiZ24L/vjxSng07KXNFC9E99L+uCcUToGalStW0PrKL33pS/H9738fz3rWs3C/+92vLl55ySWX4LLLLsOzn/1svPSlL122jgLA8ccfj+c///n49V//dTz84Q/HO9/5TuzYsQMvfOELl/W6SSsa6veK4nB8dvR4PG3s061BzbaS5pxffwQAHmbclDoodTFSKByKhqnZ7mlq6neGTzjVRLBrUNTeZFsoPJV242QZEGwmhwqF/ZBuz60BxBK7lW1twONFRzXMVzFxSQHvvKnjqarmKco6uItlfJJNamqCP/k3QnPPfakp8VRG4ZRQuDBS0dPrNpqaePQToJ8nbbsu26Xack3EZAJmlujQdBM2oNd3L/hAzgOJVvQTD+n23U9+xtiUG9rXxch7HoW8nhNTeWpmMI8jvvGC+pgU88o8NZ77qcyc5btqiiwv5zZU7qeiPlYzMZFoME8n5OqmSEFLyxYDTFJsymKYHA/wAACylWNqJoJTn/zkJ/GsZz0LJ510Ei677DKEEHDf+94X//RP/4RnP/vZy9XH2v74j/8Yt9xyC17/+tdj48aNeMhDHoJvfvObSjy8223M1FxcHImnzf8rgCY6oApPznbdDgAYzBww/rwEBxkgKm3rgpbZcFcNnGj0UzlRckAEoHxJQjPhVIN31/wQfbLTlsBjHn0SMum7JqzjTUh3fFcCRELNAwV5kwKiVEh3XBeTcrd4rAbrlyV+JuDBBgjt3C02C9RzzktFol5iSPt+PYaoZh6yQv0WjFlw7nchTA3VxaxyMx1rqp7+xl44eNk2vijF+tVGu5IhmLvtYSKFvgdsqctWjiGaD8aLfir77bg9onmQHE0NCcu2wBbGbVJ5aiSrNiIZlnMEHFrcBFz8VVX7ybIhYWoss9xPdVh5AiDSsWlZ21xEdtsEMHF0MYthYoDxZjDStTRTs5eAGgB49rOfvVsATMxe8YpX4BWveMWKXd+0UVOoshoFklnIx6BmfuYuAHawBavOU5PlKEIg7pSy7fotpUI/ZDl2YBXbLfM8NVUrDh6q8+0ajLCWsDwq+ilMu8CDvrx2RuExU5NpUeQotFuk0yyPT+FOCqbaLsQxa5N7J3rcqHVUn5fs4DxwERWDjycjK5mcVfuJ9tkvOdEAE8l6cdbCr89k9Su1cFRRfX75Bv07t01wFuu3J9akJRhcoBYpVpgEtuMNSgowSYaJMjWerqq8r8l+C1rJ3XM/5dBVzwukKnw3/ZLh9zL66QuDlwOfoW09piZz3+UA1ELhan6qxcqJ+YUmU7UspU9y3U8OsCivvfA8NZ67DlikpmYFmZrWmpqiKPCWt7wFj370o3Hsscfi1a9+NXbt0lTundLGTA1FrzIsO5utmJq7lF/ICDCpXpS8DwTe9p7ZDfitH/05ACBMr2euhXxMqpZ/NJqaZpGWTM2IaX0s91NKNNs2+kkyGywxmwsAJq/9xFgNt+jk5IxIkYoQaKETSh1PRXRNGuqZynJLmasdYcZoG3ctDB1tQREahjIVeTdpnpqCgAfT/UR+J518L6VNSTE18UgzOn68tqkqy6k8NX5yx6JOBEePuRmFGaiJu05Tv4XVlrItutSKHyFHgcl68PWFa2p8JlnaCLnLalA25sBsG06f/jsc1z95fCydf8kDJp4Anr5vXtuFHE9FN6XdU+nke1HbG4TCb3rTm/Da174W69atw93udje8613vwstf/vLl7NveYzWooTuFBjzMYB75YCcAYG56fwA0d0ohop8CG+SPyC9R52w0NWSyyxq1iWQmqvPNDgoOajLtfvJU/KmFtqKdF7NIp91P/rktc5O6kYU4xuR41lYovBBg4i0cbYFaqkr3TnBQMwz+opNkU+oJ3Eu+l3A/JVxqafeT4xZzwAEQ09T4rJgfoRQHRLTfsbHnMTnVomUulsHvF3U/2RuBOBhLuZ8og6R/Cz9yioKatQaooSHdus/Ncet+vHe5QIYwZhf+qv8V3DO/Cf+r930ALarPBx/UNC7bWABE2nUVP75w99Niop9GjqsPwN4Baj7+8Y/j/e9/P0455RR88YtfxFe+8hWcdNJJKAo9qO90VvCU5wDZlWYBd8G4Xlbex7BfJuUDEYdRtqXU1DTHNoX9m+/NbRm3rRaHmKaGL3jVLnZ+VLDdsgrpxhSCs1i2ZWrshbZteGr5bX1tb8HzJxUvMiEFtjxKm/UrsVi6WVsjocIyb0bdLiQW6dBM7t4ibe0R22qM4nVsSnPzBWV+2v+Y+LkyK6TbFQqHrM627YXtA7HoJ5+18ENy48+L9jvFiHjlP2LlLBp2wWLc/EWnOp6q/SRZoPnQaFcsUMPbGu8b6ZcUdfMkm8K9jRzbsLZ+Z+w+e+6UBkCuMxkij/nsRcFUdW3/uothahbufkoVw/T6ldTU7A3up2uvvRZPf/rT67+f9KQnIcsy3HjjjU6rO4lV6nvyQtKX7y7ZHeWHqw9oKp8S/22VQO+lJ52Hn12/hS3QZiZJkrivnuyM5Hsy+qn8N2GIFKiZJotSBDxkHgDwQhdJOQLHRRRlahw3D11MLfMEkym3WFu/s1efKd7v1GJZtY1T+Cmg5mcUNgATUhE3HvCgO1pfsD2p+2lEFpY1TkZhQEegJKPjkPnXrkJyE8nTLPNYHoACJv08AnnfPBZI1t8p+5USMPtgfeT0i44RKX6WwEOPr6ye+7zIKUBnf2Z5asR5b8GBLrigbS2ro5+gxeRt8tAsFJgE5GyDq/uVYlsWztT4/QIWwyDtFUzNcDjEqlWr2GdTU1MYDHRa6DudjSqmpvkhAwM1Y6ZmzYF1boXqJaEupItu3oWzr97Md45kUrnjgc8bN2oWpXrxyPtaUzM+ZjNIemKYC01Id6z6s5+t2KPS2wtQFyMUtqyt6yqVQG/Sc/Pke3GAEE9Fb587ICcus0jbFouhFWY8IhO4J+i2NSA0YWCciQGgNCDVtb17ahv9pNqSgqc2sPXdTx5Tg8TY88J5y+NjN49Zp426WyZjEVlIdyTM2FuIB06/aBJO1Wdy3RK8Wu6nOIPEQI1gambDdPR925gdXPYtAhBGyJPgonrWM6LUAc1kbEWwjcj7Zl/bzyXj6fZSwCQV0eVZiuVZFFOzN+SpCSHgBS94AcvQOzs7i7/6q7/C2rVr688+//nPL20P9warNTWaqcmygAMq99OaA2oXUUaYmkpTU+0IzRDTdXfF7Y99E3D2D9hE1yTfy0lGYb6g0UmXi4z5oJ1Hv548FwIAYsxCm7bU/TSpULgIOal6rs3bsaaEwm39zkudp8Z7XimmhmlqLHdKFT6fkSrv9XXz2n3psS3mIkyZGre+lw0eUmyKF/3kTeCjxG9csog5gMLVEaXGtXltJ/Ea0DAmKbbOAgDzKVAT4oCq2WT45T+izERkEad9zlGozdEQPYTxZ15IN6A1NXOYqu9JgZr84PqqltFwcLPfIUMxdpmsyiRTk3YReWNg4Lj6aKRi7NyeLSb5nsdCp+45xfQh4gbcHdYa1Dz/+c9Xn/3Zn/3ZknZmrzUD1NBFZ//K/bTmAMLUNGJfmU+GDqZ6l3XQveuXLqsjp6j7qUm+J0OB6eDm0U/a/VTtgmPhq577yVuUuJvHYQ+yUNe84scTC16LHUtKVJsCJpa1zyjssR4Jsa/pTrGPVccr4OtV6bbcA2V21NJsYaPvMnMnQjK5W4X/3AiT0LADKcBknXdx7rp48dAhenXhUcu8yCmgWfDigKliCHxWQ7dN588pkDtgK94vT5AbyLuYZcCUUdCydfSTZGowHX3fbh4zNTFNzbCFULgY37NkatpEKPmaGh88eG3bppSI9WuhbVPs9z6Rp+YjH/nIcvZj7zYzpLthHhqm5kCMqgW7BiaFAh+mpibL67aBgRpDKFzvpoesL+W/m7ZWle5KdBhfpNNMTWqR9nK2VH2zr70wTU06wiQNtmLmutxCCtQk3HXjDKfSMgR3wimQ15mfrUV6QECNDn9OTdDxxZ+mG7CMLlhq4UiJn73tLFKgJu36jAFIem47xL3n3nMjBvfBQ0w4HSJicaApKWBZMnKqpWsi3i/7npl2DjqkuxxvDqgJlKnhmpq5MBXVKN2Cu5T/iAqFM/eeqTBfCq9TmyZaAdwyDwAsFjx4gm/vvOW5/bZttGJR2xuEwp05ZoR0c6HwGNSsPqBJ7W1Q/NUgM0ENyUPTiIy5ULghOPgEHgc1fGKYD02V7lSiKLt+SrWrTIGHVPizVybBBkweh+uBlhTY8qhj2m9P/Bw9Xud8sfUpMSufT2rX6f+O5XksTU1qki3HeDz6Ka3TAKzdcIp9SkWvpBaO0qIi9hap6qNMTbRl2n05qJ9nothhgtWQxqOMfM2W3e92+iZpAU2KBCv53jrMNkyy8U5wobB2P1WgWjJXd4ym6+tb1ib6qdbUCJdtCD5ASLmfUuPWG3tpXUy7ecBu2+55WLYna2o6ULMUNhYKx5Lv1QX4ptc2RdiMCacawFwoXDE1NLrJBjWFYHKs6Cea50HyG6kU+fQ8MW1CrC0FHmlQM5n+JLXbCc6ixKKMrDT2LTU1lqUnpFS/7PYZgjtZgbRNZpPNJKjxJ+hdYXrc55j7yZsI47lRUrtKbyGtrh09lmCBPIapCBlcpgY9N3qlra4hmiPJzdzbTuhpJ9+L62LKfseZGs/dIhNhymuXOpn4M6HAVwmFiftJ9usno3uX14+5n0ioud3vvM5TI61NHiwPmPhZf/0NWSqBnseYpNmWFLvpXHdfyFPTmWMVU0OoUy7m1cCjYluokLMCRfTlq3dwea8BRJamhoEeR1NTncJwPw0JjRp1ITl0eFu9RTL7rqPliOUZcV9epxxBcCZoIA1qvMiFtNbH3nWW/YpPpCn309w4XxDgp+6P7sKdCXoWFaix3E/+75AUJiae5UIL/6VcjI1Q2G7ruUtSNYXSoDgeTZZiEefJ76zP20T7xEK+vXE/CPF++e4nWspA93tdtisKPMp+N3OQYmrCVP2sKVh/7vz/xeXDqv5fzP3kRz/RkG59LKGpCYvR1LRL3Bc/98LZljQgWgRTs4JC4Q7ULIUVVe0ng6nJAvKsAR6j6h03dmDVIKNLehPd1FPJ9coiefHke1b0k5enhkfV2CGmTabkhUc/eSLjmI2cyT2dpjwuMA0AFuM+SE8qXltvlx5fOFJMzRymmjFghvPGBcrljjYNaqyFMq0P8J5lOtdQms2JsC3MjROJnnPO2YBPy13SDrSY56YsUATIezmDUkJhd0FrmQXXDGEmom1pUlMj+70Ou5Jujer4WlH7iTI1VPdyfnFPDAs+96nzhnSemiiwTSSiG6mZVFzbmyOCP64XE5ZtJ8dozHOtp+8p4V7q3E97uTkh3dJFJIXCdCdtaWpqmpVoZjICDpimZtxGAhMTbBmaGhohUJ1tNjS7wdTO0Vs4kNBMJBkRd/L3Fzs/uiC1I0n1a+G+dj9Pjed+8t01Zb4hx/3khpjm8KaF2bH7yWybWDh8YWIL7YHrYozT+Kmwfe9Z05pAlg3RX7D2oE1COK+oqScUHiV+i1QWXD9UuF30U45Cger12a5kTpfquEy+V9amq0BNo8miC2wM1BTw88GUTM3C3E9pcX1KU7OwtkAbEfLC3ONpcXRKU9O5n/ZuM0GNZkSu2zyLUV1WQvuGm0mIpl5vQE3tfsorpsZOvidrBtHJrfm3BjW0ynjFAO0itYH62cidZF2WZxH+3dTxtsn34m3j5vrDgz9ppFxbfoRJvF9t3E9eiHKqXoy36FRMjWVJobAbrdNmJ91ON+O1jWqyWuRdsWyYAq7J3XBKJxTfCLQVCkePL1AHEpwxwvPULISpacDWOuxkx0qhcOVSa8Y1Y8ucMgnJ5HtRQOS7RocEiJnXTuWpWSGmxmWQEmNTjr1CpjVYweinleOI9iWrhcI6Tw2NMvrPM67BpXe/rvyCcD8NBaUbshxZGAmhMActjG3J8jqyqgEelVCYaGpqsGWJYnXEBF3Eyr5k0fapsFk/7Xbi5XV3WW0Wh/ixhbpMUgte2zDkqNYnMsnmCO515zBdjwEb1KQSdnmgJq7jSCfs8pma1OTuA8ix3ivE9CONO9hqW0T6lmTyQj8BDhIA0mWf8qjOA/CT76WixVK5VVJJ3eLsAslTAz0XrM7mE9E+WQlMguF+Ctr9pObNyPNsVdAy5n5KuGJSc9tiQroXw9SkNl2pecDLvyT7NUCfRzR2TM1ebuPaT4ypCc3iT0Orf3LV7eUXat1Lpcfhg6Bx5TRC4SZwagxMMpIBNe+r6KhKQ0J3GWwXJSNfAkm8Nu7zHHE/lX1xgEvwQE2m0Ty99iJ2JG3o4Zh5Kd+BlKvGX8Q98SHtl63ziO/g8iy49zSHPhomcHKmxhP5zTlMzWI0NW0SnHkY0dvxtgGfXihw8p4WnCK/574TqV18OiPswgFVOlNt3NXX6AmLevx9f/RAAMC7hr8Pf9nJiPvJCOkOPEGe7GcsgqlVSHekbUo0mzp3chPhjp+UjmzhgCn1G0+yQVEAu2Nq9nIr/JBuKwqp0sVUTIxaaMa7lSb5XsPUZMT9VDM1TChcftRoaiz3kzZKpfeNPk+hcT/ZQuE4VZ7ckbTMB2NZm5DLmAXABR5pejcFptIT1kLS77tMTZiq72la5Nyg4lS7T4tJ+e639ZgFKjC1j/sLvPdbpEP+4+AzIHN3rINk4rXFuZ/85+lHPyX1Xs64TwHQNq4+Gp35j8MXYNVwHpeEI/HuVR+Lnhto2GSZL4YKhauik8oFtwTJ98xjLefN2PGYpecu3/2djBhc4LyY0sdppobrSfN85fiSDtQshVXRT6xKN9XUGKHVecWmVCwPHwQyzf01W2Zx45Zq59IApkZT0wiJZcQET77nL+Ay9JWLlhumJia4jFloEUHgWWpCWnAOkwTw8HbDqcku5dP2ss2mQqt9poaGvuokd0kgtsDrBsBleRaTwTTFPNQ7fOOBtzm353pICW4X6lZtAzy855kuk+C/6wsHr1m0X1wo3Ghq5kMfV+Gw8XcSC17k3KVbtQI8MaZmYe6n4DA1y/nOpJLvLSa6crFMjdtWjA8m1l5hB1AHapbCxqCGLoBcU8PrPZWfS6bGfjmrSeGMKzfjtZeePz5WMTW8TML8qNHXAHZGYV/8RfPUaJFxH6Ok4DJmNJGYfdx/EVITg6dr8LUYfr9TC3EKTC0m+iDV75jNYZqkfOe73cXu4BcTBZJ6lumFI3o4AUwWztSkFo7FMzULdx/Me9FPCUCU1tQkzh1lxYSLG9o1nznvKhAHJnNhqt4MxtxPnlA4xUx5oGa5XHnLGaFUC+AjA3hx7Hfc/VRkvUTM6PJap6lZChtpXYzpfqJUYZV8DzrHDUDYFqN+U1PhmybfyzE/LMbHOSCii5g1UL81ehguK+6G7xYPqY9b7NJUNqqBiRVa7Vnq5V2UIC4BLvxU4gufkNKaGn8HtyWsS/Qrbt6zLKOfyn5LpqadMDHlBrItqQFxFuE0qEmBvIX3i0bcWG1TIf8L3WmncoGU1ecXxtTcJ7s++Tv7WXBT7ILHbDUsdcVCsiCKZGI2+/gspiGLTkomNa6p6dXzpmXzoR/tV2jB1i2moKWrqXHcS6laa2mXf+I3noDBHjAvxUpCmo6pWRpLhnRrgCCjn0xNDZo8I1bbPKN5avoYRJgaK08NteMHf407sBog+oEmcV/Tto/honYVnqUyVKZ2JAsNi1ysuHUxmohbw36JtgtkaqimRjA16eyoceFrKoGZFxoNpNwlCTFvIllcWb9pYYvSLHFrWG1TO9ZJQl9Z20Tq/rRQmJ/7guJoHJJtwWHZ7bgyHO7nP0lkwU0KhVMRTODZiHlk6ELdT1N1ItOaqZFuspj7KcTLIJTnnl54mYQk+Fz4HLIYNmUxkZ2tXKPsXJSpWVmupGNqlsIKTYVWA4KK5TjbUrmfNCACmgna0sWgdj8RN1DeizI1dGBbA5XqSprsqdr9tCOstu6+6bN7LFUyYHGamoUWhQshsVNKAAuXqUksxCmAsBhNTR26Lxi1dkm1IqAmsYAv1v2UXOATkWS+eDVuZbLCmBYjLZxe6G44ydQgm2ixLJDjaXMn4L3D38Vbhs9xF3F5X/MCHKSjDSMgkOQL6ocG1FibspjF7pkykNW4nkQo7IUZz6MfHX9tBLd+naTUvLdQPU4bTV97F5K87iTRT/R3SM3ly20dqFkKM8okNG6cUAOEkQFMaqZGDHwJaljkVM3EkORWRFNTRUfZGYX1T271uwFiGf5u/q9w2uih+MjoqYsQkS4cPADpJHie+ZOKv5gu1mUSm7BuDRvSAMHVCcVtHlPR3dK6bLaFdsVuSzNO2239RTiVryOp9YkerUTKHqiJn3sOU2422eTkvsAkdqlQ4BRLJKPJRsixBevxb8M/xpXhbkjm/SG/ldTQ+O9bnKmhGjXK1DDwkdrJR849GzSjpueNGKjpudedx1Q0DLlV4tAFZgVOvTOLKTqZZmra64SGQT53qakhG/oVZmo699NS2DhPjYVWc7JP5GzL+MXPIu4nVEyOcXw81vIsIK9rJ/Rq91NW63E022IN8mAcpwzRycVjcXLx2PK4KyLlNgpZrb1ZTOgigEToos8QpBZizxaTybhwGKSbwgHq2nNhqo7qWIzIuKz9lMpiapsnqEzpbUo2JXq4jkCJJW5M6wO8ydLLKOyDg1lMR4+nwNYgqadov3AAwI4wg7XZ3Ljf/kZAAm7Vz6QwNmd/z4YprCLjj507ZDU74i3i9HnRYAK+cVq4+6nIuEZMgrEQYWNGyJHlPUDHN9Tn9hMKpgD3IjQ1C3Q/pdhN751I9UuOzRFylk9LAiK+9q2spqZjapbCxhmFLe0Kdz81g6RiW+LRTxVTo4XC1Y4iAw/pnhtW/+ZMTSr6yQI9TVv5fW/h8Qa674dfTEh3amJI60A8ij+lA0k9jxioOVAdo9l6U/fkGa1mbPfL/x2yyPHS/eSZDzyGTvhzKgotHTabqkfkMzVRPUWi4GBKU5OOfuK2E6uaayODN0WrVPXiuz6w5WNzhBxPmn8bvjk6Fh8c/o4617x4lz1Xn/Ws2XNI5TCJvI+W9knrVTymxnE/hf6Co59SjEkq2GCh82JSh7ZI5pS2DcjY91VId9hz3E8dU7MUVoV0MwU4cT8h7n6KaWqqF3DKYHJo9FO99cj7taYmrzU1WssT19SUpkO6xUTpLuLc5jGFVWNBX1mvaIE72tAiH4MTuricQuGFumNuDAdqpgbTwLjejVdfp+p3zOYwldCfLIypKd1PLXQvTgjpQtmUtPspvjgUIYsCNcDX1LSJjlv4blg/zx1hFQ7Oto6vPRng1i7s+Dshf+cRclwfDsFfDf4WAHBsdgn7/hx5l1N5auR73raUQW2epibrsXvS82ZcG+Vnyo4zNW1Ay0JdSKmM5mlQk5rb4jaJtq58Bs164ybf64TC+4A95yS88sjP45vFw+uPmjw1dvSTDrs2JiREQr7HY62XUU1N436STE0q+qlgg7cCY/bg9SNj+HfnyKRr5bWh5ocuplwxy+dC8ncz6VBiOan8pLgfAOAToyertnw3nGCfHB3RHKbVb3FWcV/S75Q+wD6WYmqSPvwQD39Oia5DgrXwrp1ieWZJXh/rvK7mCn11bqo/SOsWuFGmJiT6bWlqmKV26WInTk3+FjR7sRf9FJDVSUCb77fLJZM6Phc08Gibp6ZAnhAKO2xdYv5JuWX9zL0+cJVjb0Te+1SEUqrfk0Q/yfdAVq+XTN5KWsfULIVNr8VmrMMcmgJsNKtmk3zPY2rkQKjcT2PQw3LcNO6nzGBqMsHUWJoZbvQ42HX19/nfXxg9Gs/If4yXDI5XEzTdSeYoEuUI/AUrlQ8mOAxBUlPj7mi9iJ02YY/8+AvmX4XVmMft2IB7ZBvZsbkwVX89Fe2TYmrkBH3K6FicNvo1XBkORzVyrH1cCQDsex4mQ5DzJFMTm/xbhcenmCs3gZ63S5+OHk/u0o3op52YwYZx3aKUbkE+z52YYcfT+XWa31H9NhNEi8n3T29QpsQxz9Xnu4iWIqNwfW4V0h1jGXM3T43H1LQTsS9cuzIJIBqgj96YMUvnqeE2CD1WwkaWpqHH5fiQc3DNIoai7lfT5y5PzT5hNUsytkZTU0TcT5ypiWlqLKEwdT/l4+Mf/tG1+M6la8vPxzuSmqlhLAh/CUZix19NSLUOSJWU539/bvQ4/J/BX2GEHu6TXceODUK/YZVQqGtb17UsNamkWI0Uy7PwMOSUO07vwuYxhV3j3bi8Z1oRPe3HT7hTjB3tf42e3nwQqWg9Qh7N+Jpiatq58hamfUotHN5vUQKeaFPMuq6HVPI9vSjtxCoCalJMjWgbGlCT1kRIUMPPlXKJ0EW+QFZi+9D8TY0Cbi9xn/WuTsIglcftc5flP+Lp+QFE2ZhaKByx+dCPtm1TB2mh2pVJo5/mhRvQZzc5aB4hr9cTq1/z2VSz3ogIN/luS/a8C+neB20w0vlAgAp4xAtaxmo/yZBvluMmH587C3VEwhcuuLk57mQUBvhkp3d35X8scTOgF46ArAZkHmXdy4oWrhqH0k66JhZG/6bOPWkBx4Gq/xWn9SVAoLvh4LiBqn7HbB5a9KgyVju6mdi5k3lqgs8uuZqahCC3DXCNLbSptnOBMzUUyKf1FH113R2Bin3j92yJjLn7yX+eEAviJOBBXrtAjqle/FzzQsQeYz0sN2LKRSQ3Vr6mxmeBomxdaOF+imxgkhuMkCefdcxS77lkU+aEizr5zpCxqTRYKiybuxgLsU5QQCnBWAdq9kGTTE01SWaBRD8FCkw4E6M1Ndw9ZYmMM0RAj5e4j7Q3j1VgLGtHadN7ki8Y7XOOYiI6nFqKqVlMDpxaZBxtm0hCFuL3bLlM+G5HUPxhGtwW6n7SmhrNOMXARZypSbuIUsX5PE1NOpIsnU4g3u9JXA87CLAoBe4pFxA/N21fAqQIqDEYgB2gTI3vmqh6SL/fy+n3nYVWLMRFyDDdo++ydD+J6Cfnd5R91qBG9EXNMbF3LlPH2mpqhuihyONVzcuNQByotXEDRo8LveC8Cihpz9RI8ODNufKd0lmA4+eWv6Nk5xSoIfc06oTC+4ZVepbKqt0eFwqTAVizKWNNTcQ3bOaxqd1PRe1iogO0olmtrMC0vXVMTmYx0NN8n/47voD3kGJq4hN4mx1JUvy6gOsCk1eWHjhiX7nA6WgxrkHygFpaUyN2w2rhiLEHcTp8mNAQlfczmaumaZu54udUyL8nJi+QuQVPZ4WmhupapjFwd55WQUsZlu3l/ZH3tZOwPDkKFyQCYMdHyDkwcUKnhwIklkxNfAGcI67Rtnlqmmv5wON7xYMBkIWRHN8WVuPjwyfjTYM/GV97YaCmQI5hvso8Boz1Ormtxigcl2x1fBLXumS9JkloOh8Im2uwm7L+ID0un5XXLwlipFZKCvc7Tc0+aKPCcz9p1kPnqbEZkYqpsUosxMLFpfvJo6U14Im7S8rjiB73Iih61QTtiHlDBvN4AT/zampSoROBtFb5UWJtjUlF17iJgxjZlmpqShDo3XOKEZF5JGzNFlDuHKeJQDC+242nkq/7lGJqFgNcU2HqDnvghXTPo8/ueWeYqX+2qWzkup9GRjivcj9Fxv0IuXIvUEBVvvupfSd/l6f7OXYNxroJQ1Q7FfmdRyn3U+jzY+Lclxd3w73zG/Cx0VO0pkZGNoq2nxw9GV8ZPRLnjCP0MgLGhujh9cMX1n/Lcd22TMIQOQa9OKgZOGHZKTdgWlMjXUhTWDcOKkklDpXFeGWEpHrWWR8IlZA4xdTE9UnSVVyzzrXmioOePcn91IGaJTINaioXUSMU5gn0HPcSOW4CE+Z+qkBNM0BzJ/ke6pYwj3l0Znk8/n2VhVSAmrRINLYo+Yt4KjJGhr6q6yaqFRews+Bak4qs/+Xpl7QGiYbAj9x+pXJ9aKYmvqOdxQymx/lxfKFwiqlJCyYnEZjK495u2dNV1e7JCDoJQj9AJ/dpDJNMjRfB5IWil0yNYHkIIJrCMJmojrsEcsz06TyhdVVsEyV24hTU6BxKMvqJH3/h4O+xH3bgwnAP7Icd7NgAfSZCVmALPXy5eDTpNwVXAoyL55ECTLTPA4epsVxbTdtUMIG/qfK0K6n5h37XausxNTJQQYMYCRDjv3HjbyDXJs+L5alZYVDTuZ+WyIYC1DR5akJdWdaKYIqxKVJzY0c/NUONup8qUBNLoOflp5Av2CTHNVPTXMdiHqQgMzYx7MSqRQmF5cQg26ZyUHiZauV16cutE1j5z5aDmrSw2jMd/STvgYKaafK9eI2cYegnylX4v0PJSsSBh+tCDDlSGiNPKJwKI2ZCYdKP0v3kgN6gd/g7Q1v3U08teHT8TGOYBK9S9zBNQY0cbxkdmz1opia+2WGLqSEInw0zuDAcBZgLbY51M/HaT978FEtKWpkSClPQ0+Mus8JhagDNArH+OZuEVB4k2ce5IMCDsxGg72Z5Lj9LO61hppgaVb9J/MaZEAqLd0K+I/TcA8HyrKR1oGaJzHM/2VW6y//2M820AI0uxnM/lUyNzmMjC1p6LiZ5rN/z/a5aU9POvWJpRIbOS0Lt8uJui3JNzDlMTXIxlYuOEPkppibwSYUe9jRHAP8NewlNTUpAqqOf4plXZ8UkGy+ToDUgVASZyq3jl0mYLJLDah+bzlKLDhCPCJzGMNpnwM6yrHLNOFluvfwwU9mwRb/54kpBjRwDWS/uQioSTM28XLQUMIm7OZKgRmipMgG2Vk3F70mGdDNB+PRa3qeIZibWr7p/BmDmANEHJjqSzE+ySd+pWRE8MK/EvPJ3IOMh+JoaDajjYEunpxBMDXFPyuCJ3W0dqFkiGxZ2nhrAzuwrwwvlJFLlmvHcT5ypIe6nmgWKZQWOT14a1PhMDdfUxCe6UlMj2YN2taGuCHcz/PTtWB5AMzVypyQnrEJk7ZRizMqshZjtpEIudjftXX3l75piReKmUtWrMUBADdkN5ghRl4dVpZtF+iTAg18mIQVq/HOH4DM1aRDIF9LKpjFwBczlMxHuhUzkmnHdT/HQ+xkM3cUS4DvzUeBCYdl2ejou9g3wNTU0Ms9mLuJtR+hhrQNqFMNENTWhx8XPRv4lZhT0TDWgJkdAvxd3MZXnto+Vrk8xtzmslzQtuqapG/S4HZFzS6aGz10a6I8yuamic5fU2fF+DbK4a0tmPpYbGB45tbLWgZolspimBqBh280gkfoAOfArF1Ij7CNtx8eyLJguprzHmRrPhSQX2n5PvLyO20Iel+nRC7VIc2vL1JSgxgNEmbtmzQmh8CybVKCYCd4vDpi4ENhPNCYnHeV+UokPfRDI2i6SqaHn5gLlEWIP02Il7sBq1ie5gFPwWbq2Iv01nqU8nhZOx1kgL6QbiIOafiK/klX3h4Ka4OziR8gV2KS/UxuhMGdqMsxMkd9ZzDF5HmdbRsgwRVkeMTbnRGSMnL96DphKMTUBGWZIe8nU9BmomcD9NL2m/mcfI/TyHOjPIGqOHkcxNblkaqibR84nnqZGM6N0DMwpTY0fWl8IBom+M3qsyTk1Hv0kBc1aKEznxZW1DtQskUlQQwe5xbYo5K9AjViUgm7bC0WdT2ZonLtN9JOcsFNMjdy0BvbdyZga+vJ6bo0rirupF4Xe76SaGp65N1flG2i/ZDE+mctBRz/J5FhxVswLp7dAoNdWWS4nLLkLbY7vIu6S0u0VZ2rk70QjfawoEZnRNK5P8oGaJ2Cu2kcLWiZcV6XFGTXvWQ/QV+NnPm+XFXhkPE8GqDC5+4mCA5VszgE1BXJMkRw3sl/ynZH31CPzBnVzVd9fv4qCGvke5AxQ0blxiB7PvSMBUe64n6YEqMnAdDbKIsn5gnVdoT+JsRYAVIQbjca0XXn2hgOwAJHsF5m7RAZwtbERzClnavi8p4MepFC4Y2r2OZNCYTpQrQR7SaZGMCZsUapAzVhvI9vX0U91Aj3KEOmdEBUITqXcT8qFQsEFxDEC7DId/cSAiaA36Q7lknCkWmiYUE+k9JYmdzvUT20tpFLsS79zTTi0/ve98xsM91Oc/vVC3uXfPYSJmJpPDZ+AC8NR+KfBn5fnSmQU5rv0ZkLKENTY/Ozwcdga1uAtw+cY7qeGqUklG/Q1NTqyigvJfd2Un6cmT3mfNLXO2qdcaoI9yLhQmGV1pUnKgu9+msbQvWcALKGccuPItjkdm/ydSWUUlu+Q3JTRzVBPgJohcqydJmPMYHJyOm4YC9JDn4AaydT0+gKk0HP3mj63YWr8gpZxpgaCCZSgRpUjUCyzBnmVSZZZtpXjQzE1DCAaYJ0ezwjoDXzes+cye7O30qimC+leIpNMDaUgqwR7jKlJamr0bqc+Nh5cPVK7xwrpttr2Mj6QK4HgYFSeq99PLYZy0bKvUx6LL3Cyz3JnsAszePn8/8YIObZincGIiF2Dg8/lhCx92p5LTeYZ2RVmcEvYgIOzbeP23EaiLbX086C/U+EyE/LQbdgPf5K/FVtHTbE7dk+ZeNXJGHj4PQ8Grir/vQXrWJ4QAPj34f/Cq4cvQYEc68ah35XdEeQCHh8vfkZhOxqsqnMTkkyNznDKXbc+OHDLDbhMjdYZzeczGO9jxmOAL3g0otETCu/AqomYmlJUqzc/8b+564q5nySoIYurBXwpkOn3ciDkqIodFsiZpkYtxMjAyBixEPcYqOHjeGpKgBo6r5I5tAQ18JmaqKZmzKbQl12KjsnzSCW505oab+4S0U/Bd7tLpoZ+QQLoctw2NzUQ7qdczGV0DikCB0x8M7eyqKZjapbIJFOz32pC6RuMiULniXwLlsg4xdTQc1diu1yBGr5Dk6BGgQVnVyGHso5qiPua5Y4lAPhu8RD8oHiQea6hjALwmBqlqSFUuiEw9diFAhneNfxDAMDGcBc1YcmMwj4DEAc9Ofzke9p9yaNX5ASd9+KTcL/Xx0fvfgJeO3gxfhkOhwZ5TTZR5X5imhoOTAG4O0V5DQlqUjoOdh3FmLUfH2U/43k2PAZpGHSdrUEudEaREOUy+Z5kZHOceMCr8IPRr+K9w99T7oVUv9fO0EVdLNK9ONtSgJdJkPlzpJhcLsR9CmrynI2/UcixjvRLakhkeQcKqkfoMT2OzFPTn5qOAiIGarJR2S/X/RRj+jINeBSosX/j8h7ioKYIOv9SpYUEuP4PMHLcOO4nyTLLfgVkyELj5h5K95PQA87la9nfiEQ/rbTtOT3Zy00yNb/1gEOBX/DvUOCSi4HsuQcAMdHWTM3QPC5ZnhFyrJ7uYX5XMX5vCXgIfDGckkJhFfnhUfMp94qYwEMjHJVMjZfkDzDcPM5uOsXUaAaF91mGrX86PBk75lfh5+Eo3CO/mbWlId06T40DVMXxPvzkexLUBGQs8ZpcaDWo4SD50v1/E58e/cr47/jvKO+BRj+Z9b3IDtdLzmcJhctd6s66D0mhMDn3PPpYg7nyWMjRS/mf6I42yN9Fj72ZqryJIRQe9WYwJpjMftXfQ27u6n+6/1PxlhsfAkAv4tKKnIPoNcTN4zEz8ngZDp6ZxwD+zli/MxUKT5fiFaAoH8IQPayjmhrFJGdsPqRje8OaVfjNex+ESzZuN+/hCQ+4G9b8pI875oa63wTUlUxNtiCmpkCmXsVeP67lYb9x0ONa6mJ4LpmsLo0D+ELh+n0av18DkTNJzj8qq7hkvzOqmxLRT8ixq7+BtI2zmzJgZHdbx9QsgYUQFKh5xoOPUN/j7icHtABqQTM1M0RMaoV81/1DhrXT5YDWTE0mNDXS7SXeZuPcse/Ke/J0ROVLRM/LTYd087beLl7msuCaGkCxC4yy1b9TL8/xheI3cUU4Qkf7MOaKP+sgnrUXOZVkaozMqvTc8neS4k02vrIeGJZ13BYq+om4n2Ywr6+rfhf7d7KYGl0ZOsXUNMcnydoKQFQk9t2E9BkMIbIRhxxFLsOfm/ayRo4CukFkBU6AMeqOKaOMCCPiaGrKv8k9h7xkMurzxiN2SveTBDUkcaQInS6QY90MWZwtTQ39iJzrnofuLxhI3vZuB27Ammlyz/REBPD1UJSgRmpwiIWIULj8DfmxaeX2ssGDVQbBS75XIK/lCvJcgNbUZJmYqwRj5LlVFVgXY0myzLME1Eix+EpnEabWMTVLYBTP/O2T7oN+L8PDjz5Ifw/xySoFHjzQoo7LBW/M1ABxTU1lU3058OW14v1OaUY8N48Of/aZGlWOwJn8Pfo3g/bxy7ZBAJN+nmGenaExL+NngQy9PMNgZFdAl9FiciG+INwTD86uxLnFvc3oOZY8TUzQmaxQnPHxQhc0xQKR3aAXFbMKA9VnHUod+52sHa2fG4X1Ubh5tBgzMemKCXqIfrO4uO7JPhMKF8gwEtFPLDKGsJN2SHeOGeoCToWi53wBpUyNGtdyTMiQ7khYNcAX1wxBPRMmFM4yFWnFwJaYn+S1sh4R8+Y9oamRwKzHQA17XuS7UxiOmRovpDuep0aN21y68qSWpTQrQeecA7gD+GY1BfR5yDbPlzMKPPrJcj9R40yNZJkzzE7tx9tGNgIrHf3UgZolMJp470WPuQfWr5oCCh2S6wmFtfspLjZTC5qo/mxl+6yEelkGNYHTHX6/n2Jq4uBhkpBleVxSpZqpkZO/0EBM0C+6EPezoWIAJFMjowC8EFOlExIU7lSeYxZ29XR6HQvU/L/sb/Cgwc/w9dHDcdiqoWrramr6DqjJelH6HwCGIgqJGv1dVmXzGtSIBSwGPodGscv5rD3bIo/Phan60VtaH2lSizDKp9AvKlAjF4PGBugxpiYgR8FcHHzhkUyNlahu/RT9bSZjatYypqa9DkS6n2SYOivDIpiaImSYIgLlPMs4C4TcTb6nwARlU/K++74hn2JALhNC4cvu+gzcZ+NX8ZHRb+NReeZHP0VDug0xrwMQefSTBdbjbEs5VkbkOL/ufOCbJp+p4X/bQuHG6DjVTE2O2f5+oq3NaHfup33AqOup3vEakxEdRLnSLTQ/RT/XO0vufoq7Lcpr61386vGk08szNr/LxXA6VSZB3pdgMdy2znG58KTEmjIJXjqFfmM0omAKI+Plbsyq38RDTGW/+O4lSKamZ08E8u9yt8aP78rX46TRk7AZG8wxwKJXxBjIex5Tw91PEuRJ3VTM5bgK80Ck3Ac5OSzbGtYau9L2TI3sl8qbEbnuT4t7VR2tPxshx4gAKg/0lmCMt71h+ijMhT6uDwepc3NNTWaGdLsRTMJCLkEN1a5IdiEOauQ84CVvlFmnR8jHOprxaTMwoDKEn3xP9ZMxNX32vqnx1Jvi4mgxrs/41TfivrMfxbXh0PKdke8BNXbP5D0NefJZ0jGimRoBTKSmxnF9yuSC807klGJq0GPpGnRId3zdkHNTsNxPgiXcU6xjapbAaORT/a5nFZJtjnGxb3xBm+7rCZwn7ksBD43Iq8lOampkbgu645LXLS3+IqTysMiF1nM/yYymnlDYyyYL6HuguULKBIVx8FWGc/J+9Bj7IEENj7rJ2LkEIHKe183hLjhchc3GF7sCGUueJsdApkAN/27uJThTbF0PCDpNwSpDU5OnzjW2rdCgZpBN1a+P3JVKC+ALixofou0bBs/DDAY4efTYcXu+Kx3l082G2bmHIXosN0iBDEV/NR4096HmvXSin7RQOCvT+VeWAjUiLT7PByMBpQScfB7gLsj4xinPCjaupQu7l2eAEMzvt2qhTE2PvW/T/bwEFBWL1p/Baoep6fd79Samn3I/0bZTq4FBKVLfjHW6jwLU0AU+laCTamrkHKF1do6mJvA4MlmuYYgco5wzg54VgpmRYGsXAzUZeMLKPcf9tOfAq73YRiODqQF8tsWJbrJADY2cChMyNVRTkwsWSDIPMvopIKtZnvLccXdUSlPjMQASmCSFwsr9FB/KmvUhIC4RZVT2Jc7UaFAjRIIU9IWMjQ+9G8rx9kNPwJdHj8Rbh3+sWCDK8ljPZ8qpkeO6n/JeqYOoDskFTUQDBZnEbWwz2UBjSxm94zA1bpSIURmamnzWKvOqaLsp7I8PjJ6JWzGm1MU7QZPayXviz16/TzP9HHOYbha3mFA4GELhsYuyPvskTE3Ihb5E609Yz6W2jrifNFPjb2ZY7jyhqSkEUyPLCMjs6VCamubPdTN9fl+9mToIorwn2hHO8uRZ5gqFed2oJiz/trBBA2rJehGXIwXUc5hKup88Ib7H1MiUEbr0RY+FaaeYGqkNy0S/tmEd+bbeHNfn6Qpa7v02Ik5Evt7xx0vDAL3op+meXqSnp7ifll1f/owqsV9Oop8gJiReW0XmqSmQsSq5vvuJm3ppXKGwrjXSc1gN6ebxmBpP69PH0O1XaXwC58JFfo8qpNsQCjd/S+Ca4fJ1j8ArB3+DLVhvZG3lya94n4X7SYyBnpOjBFlPUPyaBeImqPmxWUyNBiKTMDU8xNT7jWUU27zYDXv5lQAdnnrW3V8CAPji6FEaHDhu1AJC6AuwZzBQId0S1PQ4U5PQAmlBbrwcAe71RAANU5CJ941uXobiZR4m3E93zDYaryzL2DOTbrGhkBuunpniOow+dz9Rpmbdqj6f3/qr6g0bAGQUbAhQE2Nqbg1jBoKOe1Ji4fawwXCZCZ0VATV0DvhZcbQRqCALi3rzXJypCcjU7yCzxVM3qqz4rZl08l4bc9cWAmp0Di46R3bJ9/Z6qzQ1/VyEnYoXYe103E9Pk13NTOVqh3vYAc2AunnbPDuWipyiURFW9BNNujWthMK+j19OjG6/HHCh89TABQCjCTQ13iLUx0gJmL2oraDcAx5TwxdiGT5v7dKnnayu1P1kZTKmuoZpwczkU370E3U/peqScV86GbcWqFFj0/6dtoR16rsU1KSS70m2LuV+0r8xn6CvPOL38Pi5t+P4wcsM9xNEW36tmSnxfRn9VN9TT/3GZdmSONurTDAia5zMvTj0V/G6u/0Xjp17nzp3gRwHr28W/J3zhTp+1RG/hxvCgfjq6DfULn7rrkH9dy+HWGx5hNJA7OTXzAj2pMeFwhSYKKamP83mJ558r8fdYr2Mn/sFX8e5xb3x/PlXjxtzsFTZbdigNzrSncuYmuY3OLe4j6HpkwL4+MZQgRoiFM7Gzqv6u8HQ1BBQQ2u8ldeS7BMZx4EDpIAMmwMHNR7DtJK25/RkL7ZKU9OTYjIxqaxeNU0O6cmsMoupWU8yFF+7eVe0rXXdMilXOWCzzF9opxVTw3dwyrL4QpsGW3H3U4Fc6E+40cVBhlxKehuA0j1UNpXJ3Km+SbZFvkIsKWDQLz5t2zPqbPEFTbqf4oBHtuXMHpDLpGOCqek5YFz/jjFQM0gzNZFFemtYqxZhWmDPS9xXHtfMXwV8ZamCqt/88fId7nQvx9XhMFiRdUoLJX7jmV78ngdCKAxosa+Xb0gazT9UIGOumIEMwMx62LTqHrUbgWtquLZDXnuIHs596JvwmLl3YQdWi4idDFsIqMklUyNy4EimZu0qMTYVUyNADZ07+6vY/MTz1HDWq5dlrHI37vFoPGf0z7gw3GPc2HM/id/h4PuxPxlTQ+aAs8N9UcGPyigwkeU/rOAKCprnWRLEoFxA9P6HgqmRJRdS0U9s7go5bi+ajMJTGMbdT1hZ64TCS2CVpqafADXljqRkWXRG2Obv9aumNMtDXvzrt8yxOZq+CAesnVZtKf3bMzQ1PE+NXmhn3Hoy/gtJTWtu5EvEW3tMjcpTI8HDWOXZVPvOUSk/WaFNjFT4qqcN0tFPvM9eqLmMMJmZ6rMZIAimRjITq6amgHHuFLleqSg2wczIDKhcBNETTI3vqon95tOZriqtolUiELKktgXrJd1PkZBbQLN1I+Qosh56YQQrcV+BMott5ToOIgSZsi2qErLjnizEb1ieIAZqxvdDhK+FEOym9F7S/UTdPLtGmiXrRRi5gByjosDdD1iDa28f1/fKeqjG2wg5ennzztLfdYQcW3YOyHkz0S/OBlugJmwjH/SkULjp81rF1Mxw9zgDNVPsWfbzDHj0/wEu/QbwkD8tv5JlqJ2XUig8ttvCBqyVLsgHPRufunAnvnjrkarPO7AKN/SOQD7ciXOL+2B8cmBcq08nhuTzsbSQ95GNqrbNc80zni/IylMzIiH/u4LUE/lspdRcbRk17NWGbCdnKKnms9PU7P1W5amRYbYSAKxbTeqnGBlhX/Coe+Bu+6/G2/7Xg4y2M3j5E+4JAPjfT7ovO1Ygx+8/9G448U9/Dd/4379p0OWN2NfS1HCKVoOa1WyCF7dIPxEHJ2FqYNCZfQZqpJsnnq9B578x/MVj60PnqVEmgAkvcRFnaqwIATpBr5rmwGMEWeqAn3tmmotfqcnkezPi3H2RAXUxmhrpbvnYQX+HbWE1jpvXrhrP/URLcGwNa1Vb6X6SxQxZnwxXX1WAL6apibFTReCLsGZqxLXF8+j3sqi2TpZJKI9TLcuETI1wP9ExMC+FMXkvWg27QIZhEXDkAavN46MgKmlH3jdgPMeIcF/KmEgGaRKmZr3U1PRmsKpPmRpybGY9G9e9PAfWHwoc93PgCa8Z95W827TtqAFpt2GDnvjyKXxl/XNxVrh/3Y/KhujhHw5+Px47984GwETGgOWirrswfj/ouKegWJarGKHHns0QOYYku/UuOCJp6E2mjI6bJWj0muJQsYmgc+TKcjUdU7MERjU1zCh9G/KSgakOGSGTf/qIu+MNzzpGtQWAdatm8JKn3BfPffjdccT0TuDbvO10L8fTHniY2XYUchy+f4myJZMj3U/9vlxoE5oa8hLpUHMNgdoeLzU1FHzx72rNhH2eejccKVg4hZERshzfiZuaGvIOSwZJUst9yabMgR1nTI3oF2XMLE0NcyMKECMBlM5TY+/gq57wP/ku/ay7PANvuP6hCMjx69mN4ruCuSHnojWUtmKt+u4w42LfWHK06riMyKlAjdRrVcfp5Wjkxwg5VjPGLGcP/OfF0Xhc72dNW/E+9bIM/V6O+WoRcEK6S+KUA5P+JJoaou0YiY3AnOF+oot4nvFFa1QE3P2ANTgDt5n9jhWdlO9xCRbp4tpzQc2aVdOoGKHyBPE8NVpTM4NVU82Pw+agVRu4+ymvv0Q+o+8yaTu/o/7nHKaBTANE1rbPx+ogm+ZJ+MiznHPyL/EMwWNQnsdAjWRqpFCYMzWD1HKfx+eugAyzgwJ/OP0BzG+/BTfg4OicutL+pw7ULIFVFHbPCV8tkGG9E5lQLpZ890xt3ZoZZFmGI+6yBtg5y68vdkI6+inD/Q/bgI++8FgcfdA64HO8LavSLZiaVEh3ZPM2vm6OAj3kVcKPVJSRBAAuU/P/23vzcLmqMl383XvXcKbknMwnM5nDkISQkJAIEkgIgyCDAiIiIA10DLQI3mtiKxFtDa2oDyJXaW3Fn31bbLXRtrtpoRHj0ICMMggIXASEACKShEByTlWt3x+7hvV9a9hV51SdOqfyvc+TJ3VqT2uv2nutd73fxH1q7INsRamxb48LR3Jli8GIymKreAepif1A6MCg31M2Q18/xWR6rtSkNZMSLzRaQIA2otRUzt2nIlroEKD3HNBVeKC10eafZEbPVbLmGoTIiBqhfVnCDtWllcaMYZqffEqNKZ+XFBQu8Ze+o6oFMz/ppCYMib3vN4WFuHv8qbjtpdjHgFfKDoI4Z1DJnZ/kzyH+FMV33sgXoxNM2v/be4/C5JfuwI/zq+NmR5QQ6WH/fXlQ8JIDKVrOoT+vsN+4it8En7RIu5jJTTdbmfXlaJh6jj1TnW2McHsyCndmU/Q5SGXRltaKluhEIzua5c8xCSJNz6Rt10iNcd74C2qy1YhYXsX9cfczr5H9y6cmuWbcKnNp4cbD9sv3A5qgM4+IvH9xDiW3usthRDOxMXNPfx5vZHrxjBpl3BONfmouxPxUB+Sq8KkpICSVavlkwQczn6OwIaUr7mBqmiba0hHWLJiIGeM6jBWtHgpslElQTKnxmCLMdPIB9VdJ8F0xlZrAuW8/S0LlsktXJH77ueLkewnmJ9Yu6sBsqmKVa5vqQcprfgpZ/R3aLt2J2zCBcH+djO64mKL5SwCvUuNyACxfi233OTf7zFHtQWUysik1/aSGUgij7o8GM2V8UK5gXUBgTEqFokpSvifuKEyUGtpuhQAPdqzGkyouWksmg+J7nXL0CV8tp0JK1oz+5FGQ534LG/OX46P9cch5wEmNdq093PzEy2GkKzSyoGKfmrMPm4l5E7vw/lUzDRWAEt9KuzqyGfzTBStpk5mapxOAfka2utpYmHXkMT9lGbFNtREFkyo13cz8BAPkudfJUt8bdEeDrEcgkfcaEdt/Sg9OWTqV7K4vbmjyPRhjRAk5C6nRx7aAmZ9yCBk5D+IkkpZjbeDvdcCI/p5cnpll/eNEszB8WjKCka8i+onnkMgzCTYplJOQGvZwmhETZgRTm6NIXkGFJBMtXzUZIaoeR2HDGVMFeK57OQDgT6rbjBpR7nOVFAC9HTr6WSVcfXMB5svG/R5KsJMav4JECQDdlVYeD8Gzher3xElNAQF1MmV93Zbm6pR2rKLJ0/Rz50BDfeNboqqgPumEZJC1DBFMpvb6gCSSnBj9SBnbDJ+aJKUG9PkpRbwpj6OwrV38XeR+aHn2DHClBoCzT3gyNZPURP6MwplRuB0rsKcYnquTGt6uPsNROKQTe4qSxv68Qlc2hdsuPxKfOvkg6lPDzU9au0a1ZeLFUhGRhajpMHxq2plGxzIKp7hSU9BMVaksDekmPjXc/GRTahx9fdgGAMC2/OLiNkaoQ9rXulKzaPoY71ygh3RHQYGNL36lRh/beH24PCIW/UTNT76iv8Wb0s4VAmzsOnrBRJqg0WGCFKWmBVAK6aZJs2AMhHpSLv5iFwxiQs9FlRpTifHZ4fMIncSkFN10zelLsPW0RejuoKsmM08NbZc+uNmiZm5b8GlcmzsNp/V90ptRuHiG8idTqaH3ZPiuML8XvQ38eJKnJkiOfuKrdKrIcXWKtcNIvmdXU0rtoqSGKzX2FRtgZqLNElIT4Z1LprBb0leobkdh6+qOrSwpyateqdmhOsgW3u96tWvFzE99ylQFeV+XHCxj8mzurxM5miU5IO+qaU4JSLK4QmD2lyuz+OKZE0g7UlFoqBo+tc7I/sxW4vrvuCfP/UDYRKzlYikgIDXs4h3caguNMqK/cZxRmB6rwyQ17fQLQ6mpHN/VlgIK/WTfNm4qLKGt24x+YiD3pBFELDgeX9z/e7ig/yPFE/PfIUV+m0D3YWOKWLFh5Y86qQlAi4PyCvDxTnZSwwuL5pTNp4bVmfIRGx79pPXd/lO68dHjFzqL5nKfGtXEqpbiU1MHlJUaz4NcQIjR7VpWTfabFwyfGjoQdHe2ObfFE5p7YokHaTepCYMA714WS+l45lmjXSQPhIfUmKUfAuTbx+BLuXfH7Qi2s3YxcALgiJQBzPoqVOWpoEx+HKuhNPKW6Ce3UmNM4gx6FIAtXFP/ndpYLhnFlBpu1sh6lBrFJp02jTCN6eoAuulqmCs1rjIJdlJDJ6xsaB/o4r8ZqdHaeHdhfzzadRh++foE6779XDoPqKJRCtEHYOQEikO6U9qxtBlxNA9pKDlW/x1iUkP7xP0+xZ9dasvB+00EXqhsilUNTmr8yhdx9tWIbl5R0rKHFnI3J1vd/IQQ/QXGNrg65VJlefAAz1PDFyQFbeJW1CwPwIh+0n+nLq7URCmaUVhvS9topHJaX1neW3pP2rMbpvF62zTkEI+HfGxDqp0cS/JABfzZAukjnmuGVzwvPYqlzMQu81NoVWpo9JNeMb5U/iMq0OStJZjmp8q5po3pBDIpZ1Qgz1NTUABf4w8VRoxS85nPfAarV69GR0cHenp6mt0cgmrMTwUEWNA7qvx3TwedZIzBjDn7dne6fWryXKlhx5rZWPkkbW9zqd06qTESoAV80KDnznhWnb68NkY5Ao+jsK+2k838RH1qcnYTC2kWJVc0T41JMF3HKmYesPnUZB3ENi5XYTehAcDFa+aSgbQtq60Go7RJ3JhPDc1T4+7beH86ievPbVJ4fMB+m1vbjsf9an55qw5dqYnNT5rSaVFeuFxe2p/XsSl9R00PdBKmzy1Ifx29/2RMHF15f22mTZcpOdAmGVUiuTz82VX7qfiZimzUzKP3/15DqWE+NcxReP/e0cb+JZjRT+6IyCiA8YyQ7ZHe1xG6ssxRmGUU7tds9V3ZFJCnbK3TVQGcOQpblRoyLOqh4hnmSM6OTbcx1YuazHzvm558L0TBKA9TQsX8xPLalI9VhrmJKzW5gB5Lapox8GAKG3GlSrJ7PDJUvyHEiCE1fX19OP3007Fhw4ZmN8VAtT41B0wejX/+q5W46p0HYu7ELrKrmXSL/jT6ytt0uA29dnhfvhgjX4eFELWRPDVMqdHazH0PeGI/gzwYLz6dlHw+NTTKyLxuuf0lvx3mR1RCCnlfM0rfaNeiJiQ+eOkDQ2C5p8ihppS205Buuo3ksGH9ceDUnrLDOgC0ZenEYIBNlnQOdpPJ+JZ4XhbHcxuEAJehmWkr5VEYcx7zk1m9mCasVJpS48pTQ4sf0nfCVGoqf79t3kTSXzbTptPpP0XNu1FE7yvne5ct/khhpDudMqUrr0CeooCZn7QEc4fOnmAxUdLxixAipvSRNgXstyq+b9edtRSzJ3TiwiPnVtqICJ1Zpu4RpSbCHs1e1ZGJqFID4OBpPVizYALOWjEDyGsqRNto6ihsIdyhi6hFaWZC4m1so8emqHuAT6nJsVwzel/qtffKY5zPp4YpjITkqMo7AJTSIrhJDTcn2Qi1i6ybdezE/JSIq666CgBw4403NrchFpSS7/l8agoI0dORweq547F67njg0QfJrkmyMynUZqgDAfGnMKKQDHWFmZ88UVcqwacm3r+YfLAkOxezX/JkYLxwpM/fIlY17EQF4HlqQqd5yRb9pG9/TY2294/+TnKy5Zn0d6ESEtsHanfn6kAbW6Fy8xMtQRF6SQ2CCHu0sJK2dBKpoUQ2cqgDtqiGUFtpc0dzGJMdHdwUGWTpBM4n5Z2pcfhjOBUv5zoAUEWD3z+PnsqrirLDc9iUviPEhJvUCKkBODkgSdssypaT6DFSkw5DOmkp7lNjPg/6fBGkaJ4aHbmCivusRAICarILNVKzcHK3qUboz4HijsKescowP8WfT1oyBSctmQL8v22VNiKiRTgBQ6l5S3uugyCgPjWIicmN56+I//jpTZUNmS6kwkpJGZvZmEY/UVJDnw92bJgi5pUwzUmNb4HL1BZt27QxHSilCbLlqdHJA/fHySEiFc/ziFDQTbgqJOUcOHrHdAKvFI9VlCCVlZoqo5+aSWpGjFIzEOzduxc7d+4k/xqBilLjViJ8ZgnALffZ/2ZSX4JSE/GkZRafGtex3Oxh+tSwgY6t4jPeiZjfI7R9/aHTOeXzqaESLP+ugADfnHsdflNYgIv6LwfvT1M6ZkqNp693YBRunn81Luy7vJhkixJb/dQ8d0xehWzQqHzkv4OtL/XBn2SGLq7mXVluDZ8aR8FK23Zu+gwYWeI1cvi5fUqNijK4dOzX8O6+LcXzVfprTBc13/YjxRKXRRVHYcP8annumenKKFfBVq2U1JjkO0NMctqxrEp0XLaE9aerT4rnyWsTRhS5SY1+DACS+h8ACek2K5HTY0tlEiqb3OYnnlHYV5uuHxG623meGupT08frKiieVVCDHoodULXXWHSCRj+RSZyZn3hiUQR0MRiluE+NewzR+4NHMNki5Xh9r3LbDZ8aMwtwnpmuXEpNASHWHziZHhuZfpx6+g8eBVmCQoAmWp9am9Rs3boV3d3d5X/Tp09vyHXKBS09kuPo9qxzG2DxXTAcLN2DSFL0UxCZL6R+rCtHSbw98GYU1v/mg1mcO0VfPScpNZQA0JUh3bOfpRqn2S8rKA8gpF0hXuhZjjP6tuD3arqh1BjEjZufyITGJuIgxFPjjsJtheXWhuuDXUeWmkwKCOmgwSZLPYLN1pe6TE+elyIZcOaTCSOn+clKali7Uq50AlEGOPFL+NdwPd6599MATKdHn8lVBSkEoVbJWjvWmGRAf7ccQuRScXTVW8hY/bncJQNYegXeNk5qLIO7W6mhK+U4+Z4n+snSPzltxtB9ajYcNQ8GdAKQHUU2hYTUmL8zb5fT/MQWTTaiRqCdpz3bhp4OXqWbkppTDp6K3tFtOHvlDLONHHtpfhn92TSIBijRD/WRI0wx05R5KbIQSFOTmRl7YPdT434xNvUjcBDXpIKWeSP5XmBWFy+dKwxJvbgCQuxNdRvtcik1PD3HPutTs2nTJgRB4P33+OOPD/j8mzdvxo4dO8r/nn/++Tq2voJKmQT3QNjF65twtcXI2cL/dhOL2LHRIaMCiLj5weGYZju3UaXbo9Tw6rzcUdiIGPUqIvA65JplEig5KMFW+8mYiBOUGr4S96oL3EeJvfj6oR2ZyCAuxEGVkbwsKTbK5fAIe3NaVrPAJDWuAcmXPj8pT40yTJ9au9LtQOd4fD7913hIzTGO5TWBTH8tFq3jeAd2lkLDmZPkQ/MvwXW5U/DrwkHG8xMTYXKxyrGK/oZKKdrdYUQz0VqUGqdPDZP/U2FgtNuZr6pkTtOUmlAzPy2ZMQ4GdP+T7ChybJRxR1Ry+MokWIm7tv2v3j6XbCfjYjFgYpQeAcWcbrs70rhz89H4zKmLvG0EYCTNSyeEdJMK4Bmu1GhNJmQ9axwbEZ8aM6TbZdJ9Tk00Ffq2HgDA7flDANDfWBGlhpOaCKFeRwwhMT8phFChw/wUROAEaW9aIzXFZy+Tsj/XeYRQRdL8i8LifTek+4orrsB5553n3Wf27NkDPn82m0U2m03ecZCoxlHYqDBsISa+7cQvwrLq9FX2jVLuaxcQUHnXKLFAHYVNAqBJqWyA5o7CeT4RewZSrtT489SEoCqPTeql29tcqoX5p+EXk+F1gTSogJo6+ISnD3aVisOVCs2uPDUKAfkdbM7fTqWmuDpzmihDmvDNNkmXkEmFxircdWzJ3EElfkqIaBI7TmpS7jwiOqlBKd9NZd9+RHh9zBJ8IVdc7Rrk0x/9pJsYC4peDwENn48i0+fBmRWYk5ooMEwIbkfh+Ht9FRzo5oTivqWSBVN72gG9okqUJiomUWpsdbW0iYkrW36fGpDxqreHBkXQZy9u/5fPWoq/+e4DuGzdfCp5F3+XxKKzJTClRv8dbT41RDnV8+WEKWaS1dW2eE4hCSvTlCDy9a0KwvLTWUCIm5f/f7jtf+7FY2omEPyFHIsN/4OPfP46/Ci/qngPjuingDoZ55Ql+R4PB3coNbC4DvRle2i7AKe/VwEh1Ia7cNnnrsd/FA7DRU1UappKaiZMmIAJEyYk7zjMka8i+Z6Zv8McZJ3HAsz8ZKo8Pp8aXaLm2wsI0KenN7asaIlSE/JJXPe34eem5hRO3o209+zavrIRvPYTL75WQjlKxvDlcJs9zPpFnFy4FRMV8JIDlY8lM9m7l03D4y/txJHzJ3iVGqqIgCg1hldBELiVmuJnpwKQbqdKDXPQPuewmfjOXc8CQOxAa6gtLqWmo3g+rZ3EKZb+DoYqxBLNweEsv0sVJ6OQ/u7OSRgW0syeW1J3TJlRRPq502mT1DiJnk2pYe1Ku6Lriuch80Vo/s7/dMFKfHXbU7jwiNnA9eT05B0M01ryQ+sCo7Izj8oKPIEJ3PxkzPCkP+JJdv6kUfivy94ef/eWNsnXmp+2exr5U+/LRFIzYQaw4mIg2wWkqMmS5ts0iUEqTdUln1KjghB/7l6E/yyUnhumGndPxQ9yR1RO53AG5wUt4wSJVD0psFxPbqXGfK/7dKWm7Ctm/90LCBH2TMOPC4fHfzfRp2bERD8999xzeO211/Dcc88hn8/jwQcfBADMnTsXXV1d/oMbjNxAlBqLs6/zWMAkRQhQeuHNEgtJ5id9IgnQn3OTmjgbsUZcWLvJQjoMAGYW0iNjuB+Iz/xUUCz6ie3LfWrosUG5e8vmJ2bK0dN9m+oT+5v51JA6SlypQeB0yC1t+/zpSyrb2UDiSuzHiyzaSLAe/cSVBcBDajKdzLRQ+Tyuqx2fOPGAMqlpS5smMxL9pD/nVqWGVaT2mPKCKOUkRPqGXWWlRl+lht6ovi+9Zyk2/vce6/bD50+kPjOKXi82L1T+TFkcOasN6Y5JnVupsYXVElj6ZMa4Dmw9bbG5LwClkYQwk+AorPnj5EEJZhi63wGeUdibkNHmuKr71BR4Vc4ErP+7+P9l5wGg5NL2bumq16i2NHDC56z7E5JSJKbEDGhEP7ELGc+PiyCabQwcYfsRCwfn0U9xQUv6vjnz1AShQZD6MxqpycVRZNTnD9r+8R9hEBMaCemuAldeeSW+/e1vl/9eunQpAOCOO+7AmjVrmtSqGPlSSLeP1HgcbIFqzE+W7aoSOu1TNULuKEwiPUKS3MpWlFI3e/DJVDcn2HxqQrLi5ce6SQ33qeFkKmfUfrK3sRLSzUiNZyAphNypm/aXTmpsjsJGRJh2rC/U0yw5QAmiTyFCEOFdh0zDPX/4C5ZM62aDaPyZZMHVj093ssyqlf2y6RSgHdeWDsFXaM7op5JS43TI5U7G5j25CBFVauLr6L9FHIKsn5q+E/tP7kEYvEyuVcLh8yahoKs4ivoumEqNWQnZ6VQbUf+IVBQQ2Y2TGuILZCMeumrgKfhZmYi171Lu0it8Z14mIdH8RJQaj0rNVWTerlpJTdcE4LQbKqfSzYQWUrO7r+JzxItlEq5OlBqzLyPd/MQjWQHj+ak2PD6+OCveW75KQvSTikhBSwVP8r0gMt5rldLMcW+9DoCZn7TDS+NsFAYo5JWEdFeDG2+8EUop41+zCQ1QUWp8E1aS+clw2PWtdNi5ue8KH0R0+dJ2bJ+eeZSbn5Q/k21ApHKAT8T6y2sMT+y+ePHHiAzuXKmhphlu5ilf05Z8j02m3In0f/b/GF4OJ2Jz/wXGsQr+wpJ8wOK+PEZNPeZs57LkmMn3YAyUZyyfjh9uWIV/vvAw2rfFE/mUGuIf4DHNZVMRIUze/EpFpYaO2TQUn0YZsc6JqClPuUgNStepfNefYH4yVtNMbaJknN8EJeuE1BQnHZr/RCc1lQn78cJ0YyHEa3iRBztJqfE5+2bi/ElkqkklOQpTUuMK+y+NN6tmx47KZ6+cYY2+s17LNsnqx6oaSQ1DEFQc+62kZm+F1PAyCk4SZyU1GhFTeedckFcx4XGqiNbf2G5+SlJq8gihuD9OyuFjGgSWsUhry54dAOjCSL/FkoJU6qdmRj+NGKVmOMPtU+MY2Pg22B0/K8faSA1l6FmPT00qwVGYKDWsnXkW/aSvFAqKmloiFvUQKxPQ9qfN8OVyMApHMgJk+tTQ6z5QmIul4VO4KX9U8XiqiNDJlLbjrZ55uHjcjXjw+deLzaLn7tLyy5iOwpHX/ORbwflS9ysj+om1u+i8umzm2PjvPtM8QExu+nUynUj1ueRwen+xUkPvyZnW32J+4kqNrxhmyNP6uxyFVSnhof5OsGMt75c7soo5y3OlhkU/UZ+aogzviX6694T/wNd/dBvuV/OxLjRlf13iLySSGo8ioiPdaX6nkxqb7wr5iv5Wtvv7zgUr8OfdfZg0ug14qErzk8txtYRalRoLojBArqDM6FQAu/e6z99GippqG4rEQFcjUjqpKeSM7MWl9yIuZcFrTlVvYuRlEigRoWQ8rn9W6d/D5kzAKFaeh1yXESKSj2vP6wBY9XlGeoHKfTVRqBFSUw+4k+/5pGNzhVb9sXR7UomFyOcorEIa/WT4iFBfDt1BlU/C3PzEt/Ow9Rw38zDfFepEypUajViAOnIqBDir728xJ9iOR9XM+DtufnL5LQBoT6cZMaEKkm5+6uP1dYLAqRAUuL8N4J3kuVJDo9CKO5Qu7/PBqsKnJiSF/9z+Em0pLlMHnuinkvlJbxa18eu/Q8jen3Q6zcxP9omypNTohDrH/ZMsiwpn0km2rzX6STc/pUzzk3PSSmWwd+ws/LQQr3y5UqOYKZlEDNpIC1FqPKQmUzTRucxPeZqlt9QacinybJrPSCoKY0LD2+KL/PQRMWDQSg0QP/d7cwXw1EMAaJAEAymUqf8ORSJGI8koqTHf1fjvkgnalReKv2/pKCAmOt2nhiffm9DdQUbJOPqpYn664Ig5wIN389usXNdYrOikJn5eMwnmp9IhYn4a4ajkqalBbeFmHk+CKrtSQ6VCV/4AwEZq9ImW+9TwdtGJVldbuFNsHMrJfGoC+7EAcPuYM/BiahquzZ1mtEshoDVhWLt081MArqYE2IMsHlX7ofzq+cx1bFXVnvGZLqg5bi8rt17gOSoMR2GfUuNLvx9QpYZPtPwZsUTLOe85w3xqIjNMuIS2dGSs6NIuv5hER2F/xfMLj5xHJ6IEnxpTqdGbZVFqQvq39TNKDqH0N9XbnbFEPzkTWkYZ0kW2LLdpktvJrWQBoOYbH0EomZ/0yUZXagoWUsMmpmqrdBtt8fkT+moRAQlKjfvZ0VHqY2PRmQBdoSaHFk2IpHvICiRHgivi7RWlJjIWPu6xKH7f9JpnVKnRc0qdtmwmAuLcTc1P8JqfQkJE88pufko7atOVFp0l4ivmpxGOqqKfjBd7kEoNj5jwKTWGTw1VD3yOwrw2lC5/8ky+hlKjQkZq6D3vSY/Fpinfwi9+/6dis+i59eq7/QVFasrluFLDCJEBw6dGIxt8IMmm2c9D26UrV1y95pW4kx2FudOtS6kJSUZh3q5qlBoSjqlPFplOSh70dPpsouTmJ6OqNIl+6gAHz1OT4j5ZGsaN6mDmJ0q2cmPnIfXak7ilsKL8XQlHHzAVe3w+NTzs1uPDZvov0YyxNBNrcXB3Rbew9PtJCeEoqfGbJrw+NTbzk37PVSk1+qU8pIW3y+dTk2R+8pVESDq2iNIzZito6YOzPExZqXFM3IU8TYMRnwCAZn6q0qem3Yg2rHyOUCAyaBClSX/lWEZhqLwnT41pfiLPZrFQqJFpW9sfqDz3UiZhhKMqpSYhJ4up1HjyPLDj+WRoZBRO+UO633fYTGe7+MNNH1aq1IQhvTZ3jOVrrijF/E+YCalTk3/f7KdvSY4oNcogRAbYPWc8PkjtGZZWn5jB6ORrmJ+YHxEnkMa4yrrQrOoAADfmSURBVMgWXQ3T35FGL7F2G5M2kSEAMHt4/5uVz2kW0u1xIM2mmflJcSJmKjW6FM3NT/qzZRA+I1U9TUD52vv+G4fuuR7Pqt7ydyW8fWGvt/wHAhqlRnLk8ASUPKMwMz/ppKYSBUL3L4OTmiiEfvLTDplKrk3MT7bFTRK5KDfSYn4iF+ozv9N/twDuZHS263pNTPq7lbCuthDjqo8t4pgDJmH2+E7MmWghdh7o5id7SLfjwEKO+Z6g3B+liFC68HH3ZRt733wZheN+1v1cIhrtVMgZeZLIddkCLAoDYMbq+ItZRwJwOwoPJ/OTKDV1QK44sXHv+apfbMConVGLT42Zp4bZZT2k5p1Lp6FrwURnO0smk3GdGfx5dx96uyureG4+SPapofccRSlmqqEEwFcMs1/ZV0IAkEmlcMOZy3Dxd+6z3nNBMWWLnbsjw0wXoC+73ua9OQXoi6Gg+ozCAEzHakccab+K2CQMOqr4JjTN56Fywkr1YkQpOshm9KRstL3ZVAgoek++pH4AHfx5cb7IoUwVd2ZmMX31HyFIt+NPGGO/dphyS/zFfSnncb9vhYI5eUQOUlN6Tp0hu6kszXETBuTGP/9uLYcRalRqvI7CRVLjUhdspEbb9+DpPUyJdi+ijO8G4ih8/OeAx/8DWH6+fTuQbLoqYutpi6CUMtU6DfoCqgRiftIPTZXMTy6lJucMCMgjxFkrZjjTPiQ55usLtjikmz7zVKkJEXC/KRepCSl5Ki9mz/wn4KGbgMVnAnArNWDPvfjUjHCUquYOJk9NJuMOu7a++Mw04ctTk/I4Chs1qSwKUhQG+PWmo3HP365DR5ZmqAyDAP/7uAVIRwE+dfJBhkLg8scBgCBFHXJJ1k3DVBNAv+mc4VNT2TZn4igcMW88uRb3T/FV2m7LMgdVw9lXIzVMqVEBd1Cl6pNhbSBkiys1lW052/oj0URJ9yPmJ12pATOXZDTzk3XlSAm1c9VZnEiJUsN8akj2XN7ukIdds1QFxgF6v6dZhA7fldfocju2muYnqrjpPjVWUkNjf0m7uE8NN2ET44uN1FSbpyYTJyh1KzV+n5r/c/YhpN3EZDuO1XbibfE6CjuIycqLgXP/rewLRHD0J+L/33mt/VgLksosdGbN94uSGlOpcZpY9Hpb5QbE99zVnsXlx8x31oez+tSw962EN9FGKSojNQohSTeAgs/8FNjf685xwKqNQGc8nrry1FROE3+7zxa0bBWUku8Nxqfmi2ce4j7W9uKzydCbUTjNj/fL8jpKjm1t6QgTRmXJsaUQ5Q+umYvffeo4HDy9x1hV6F2SY0pNKoqcg01s5uH9qZMaj52eR7aw7dzMYzoKU1LDiZp+T2Zq/7BqlSfegZvr7O3qt4qq1So18X7U/LSH7EIUt7SH1KRMOZzkVdE/W5SakEVyOBWN8um0dukDsiqYqehJOyJ3BFLxvpy/MSf2BX+ZhCxfkID5b+hOuFGW+dT4h2Ci1NgmpGqVmpL5ybU9wadmcnc7vSf9RPOPtbTLR2oS7ikJb/8IsOl54MBTaz/WASup0aOf9EetZH5ynczm3Fx8ZzKpNNIRzUflywvVxvJCFRBi97tvwtOFyTiv76PUbSFMGayV+tHlgOmH0XZ1FlX6ueuMIA+bE3vG4ShcgoR0twhyTp8aj0TLHt4Jo9vd221ZNxmr9tV+SnnMT0mkRgXuiVYnLWVSVYP5KYzSCKDJ3kYkEG0agrC8EslBf7mUV8Ll7eaTKX89OzIpZ8K4guJ1pvh13CnQ7USN3rNL9dCjvQB7llsnitvSLvMTmL+Eh9Rk0yHJgbP5hAPcId3FjKQkSIQrNT7zE2sXmcCVMgki89VIin5yOfsapMYI6abmSZ3UBDBN0YG+co8yCIPKM29zFNZB3pmUJcdIUpLOErriyWugPjUAq0q9V6vPVPK7IO3yhJpzk8lA0DZ6YMcxrJw1Fnc/8xrOXTXT2Ob0qUmZZRIIir93JqWlyyjdc/H38kVX6sha8kIV5q7D2r4vAAAO4GZA5lhNFjKFfmDhO/Ch3KV4JD8j/u6iO2Iz39L3Aa8/V97VSL5nO5/l0S09IhL9NMKRzw8+T40xKZGVjm01QxUAX/RTT6eHMCWQmsAXam71EaHRPKGHAEQRjSLhZCEMgnItEd42Gi1Go5+MVbjRLk9IJYD2LOtvlpWTJBTkvlGGGpNA1HjtJwc5m9M7BgbIT5EsupK6LTlKagh3yLgLHcZKTeW7FXMm4CknqTF9DwL2O+hh6rbp3Rn9xJ13jZvgTsZ+paazzR0arbhDZsBDunVSA4xuT+MtLf0+UUGYH1lsBnUTG1LiJN1u2YE6Txs44RrgsZ8Ah32wci82VBH9pN/zrulHAxMPAA44uTzJE1RrfhqIUlNHfPO8Q/HoizuxfKb5funmJ8JfqnAUBmL/M4PUFPul2ugnm/kpxRZKZTDzEwBk9DQQhRwQBLgFb0Nfab/uabGpT2tb5Trm80QchS0dUHrnxKdmhKMS0s02+ByFPZOusd3m3GU4CrvMJcC7l7NViI/U8AHdzOtf/mRNJsdrPzmUmoIKkEpFLNeDaboioZFsxUJbRe/J67vCfH14SHeGtStg9XqIbwFvB5vwqFITmCsYfs/E0lU5T1eHJQrE64hu7kek6D7qU0P4gD55Flfw566aiUmjs3j/qpl0wgp4SLepLNCq0lSpaSMSf5L5Sc/TU/ASRERpt69P/AXp6842vQ4Sj36CQZr1trZpSs3YzgwuPGIWVTeZjwVJ3OcwP11xzHwsmzkGq+ZovmFWpSYhT82KC92+KTqqUWr0d7l9HPDBO4E1m+zn8zheV+VTM0TozKawYtZYM8gDdOwhSfpKeWqcId0lUmMZu4r94iTcCdFPfIwgASZBZJqf9IVM0SzmFAerKK5LfGps72sgpKYlUF1GYb8i4v27CvOTryJxW5Y7A3tMNVyp8dSssiZP84V0s8J9Zn9RshAEAZGAdUKVJ+YnGH3t86nhNZb016B0XRqGXINSw8wapL9UQCtpxycn53L6gTCZPh5QEkxubNs7D54CAJg9vtNwFNYRZjVSk4snu6tOPgh3blqLMZ0ZY8Kipk9dWSiRGt2phvrUtJMK8CZoYBUnNR7TTZicfE/3d+rIepQaa5kETanRSM2yGT0Y1ZZ2+9SAdp8r+eCla+fhhxtWxwVFS0hTUhME8Jt5bHDNNRlb6LQ7o3AiiFLjy1MzfI0FJB+V/t6mEpSa9rHG8eVxoHjv1ZZJaEuZ5qeIjCnazhalhix2excb1yYI6PhqU2rc0U8xKtFP3t0aiuH7RI0gDCj6yTA/1biaIeQipKtw41weFahWssUchcd2uqOnuCkmx0hJ2uODVFJ5rKsd0Lw+hk+NNR+MW0Ei4ZVFAkMnYl2pCY1r0VvwJ997yyA1dLsvEy0Qh5u/2ZfH4mndwF8sg6YNxW2HzBiDOz6yBr2j24DPsqgt4syrPW+5ikNxeVJjzzVdvenmpzbj3IT0Klr6wUZSiKmGkGCLTw2bSJNCut/UTERUqbH41OhqaRCWgwMAoC2jvwOWRJzMcdRIvuf97UwfpRLiWmseM48FRgLH074B3P1V4Nit5s6e1fbMcZ78MQBzYPaMKQP1qRkC6CRuj15KxmV+Ov3bwAPfKUdnUVLjNj/5yiR0ZlPsO14kWJdYTZ+abCoELrkPeO1pYMZK474ImPnJth91FDafj9KjLD41IxwVnxoPqanZ/GROaK7tR+3fS7JfJpmU/AqS36GZm0vGd7G0255aRvogYBRMA8jKuRT+TGqoeEiNzzwA0AgDTh6I+alIYAokybJOauJJKROF6MsXrEqNq0xCAQH29LMMqUzyDYKYkCnF1IViG/7tksPxf+9+FhuOnAPc4FBIOLQ2zBpvN0M451WbWYL5S6RIX/p9avjzQXxqLG0waouVL1Qw9qeuTClGEM13c9eeCqkhigjPKKwUMHYWsP3B8rF7tUmOHGtrK/NXIRa6hJUvef+YUhOGQfUh3UV8eN183PfsX/CeQ4uOootPj//ZYMnm+9sr12NvLo9RbQlmo2rz1DTZ/FQtiFJTjn5iE/eBp8T/isjYSE2xX6gvobnf36ydhx/e90dsPGoucD/tP+p7yMYaQ6kJgfFz439FOBVOfaxSdqUm43herzhmPoCKCiTJ90Y43NFPPvUkSanR/QP84byzJrBIgFqISpIy4yVjFlLDFBF9dz2kO1ZqQhoZY0RWMfOTw6fmNTUaQbjX2E93Mtb9McwkeKYcTsxPKdP8lEnFpMb0qYnINyEbgEzzEyU9QDww5JSitvbi5DV3Yhe2nHSgcazfUTjZbDC1px0rZ41FWzoiBTutpIZlsdUnZpK2p6TUkGP1OjahmXmVgVaG1jZYSA0lW+5cQ6V2v7FX83XxZPAuKABj55Bj+7UbJc6YyqbUcFLDlBrv76MzIKrUxId6FjMWTBzdhls/fGTifi50d6RBsk26MEIchasFUWqKOX+SxIisbaFZUmpcz2bx8+XHzMeH182Lt3mUPCM5o+EobD4T1fnU2OuyUVW28v2la+cVzx1/KSHdIxxV5akxCg66i0yax/rz1HiLGSLwy78GieE+NW7zUwEBxnUxFckT/ZQnSk1k5kEwfGq4o3DlYwEh7lr2BfzqrrvwgJqHIPidcR590IlYJlsShkyS5ZnmpyDUSU1YNIuFeGOvzacmYryPkhbT/EQlX6C4Ajey2Fqege5pwBsvG9cxYNs2YxXw3J3A3GPiXYIAN110mDn552xKDTc/ab+xLnEVlZoC9bouf1QIqZxtNT/pn6lSY5qf9J2Z+ckysepKjXcBAtAEcwEtAkvbbSM1bkdhWy4Q2k5tO1NqUmHoHwcGjUHMTCRnkGesq3ubG4O9/XngyE3Ak7cCy84F4AnpLqLNqtQUfWpCx7OpqfLl58rzbpPxxxrSbR7rLCJrRD/VcGzpFGJ+ag24C1p6zAOR22wT759kfnLbYZMHOs+xpe+KL4fNF6GEAkKvUsMdXwsqKF86zq3Dz20qNU6zWhDixanH4Sv5ycaxtnsKSRQSDZ0mCfTKPjXawSRhXHyp0mRsFM80HK2purSXm58s6lOpbdT8ZHkGZq8BXrjPel1fmwAAZ3wHePRmYnqwJkLM7TG/80Q/7YXWztFxHSNf9JNRz4pBt+uT98uWfI9NltS3id8DV2oS3hmd1IRRJVSXozjRUfOTh9QkOd96fGpipSZZnRkwBrPcrjZPTTXOzcMAfbkCcNTm+F8RSd3jU2qIv874A4FRU4DuqcDb/sY8kec3Jk2w7GdXalykho6JNgJD6gBaiMuRCyZg7sQuc14YQgipqQOqK2jJHi6e28FbH6XGFPlJg0aS2UKXMb0RSsB4Q6mhygSt0o0yqSlYHIUDQhDiyCmnozDzXbFJuLRZPCrLsX9xMFYeR+EwCJykxsyHQonanhxTali7gMrkHVjIFsHso4BffsG8Bw7btq4JwMqL3MeUkN9rfsfMT7pSU0AAbP5j/PyUfWrsx/K6UUTlKUInn6ZSYzRMOzBNQjt95Dw+NOGdGKeZn3J70Z/3D52ErzOlRr+NVBRW/9uxPDURdzKut+Y/mPN5zU8jUKmxkNgr1i/A7Y+/gr86fJb1GKujcGian3KjpgNXPOa+uIf4kYzCtpBui1LjjRosQsFOuHV3ABvp2Xz8/onnbjSE1NQBVYV0822JSo1pEqHHa2TCW1slgdRYK4BHAHKO7foEZlNqqPKgH6771OSKKwGap4aqOinuU0NAQ6d5nhrjlhjZctq0S6RGP9jhKBz/TV9sxa7NHZR9PjWVCs9B6WBrG8qYvrLyOevJsFrv1Tx7vvT+yxcUkB1Fdvc5CusryX6j4jl3FCYntfjJMPOTT5H0/W2bRDrGVj5nutCXt6TCjxtmtNsM6XaoTzYQR2Gu1AS0r61h2YPBYJSaKn1qRohSs5cvRgAcMGU0nvi74+jCS4PVUTgwzU+JJMPz/pJXZrA+NRqUw6emLR3hS2cuQX9eIfPcvyWfqAkQUlMHVKfUsAc/5SYDAOhAYDM96EpPrWnIq1FqSh8ToqG623khTnfotP4CFnhlcVByUcoX0+YwTxhRRkkrbWIW46HTel/bQrp1k0l87tJgwX1q4nPZCZNCYJotCAmkA16i+SmVAS57OPZ78U5oVYxitcDz/Nhs6b48NfrzYzPp+MxPAMqRYvFn+txHGomm4alU4QgC+JWFEj5wK/CXPwATF6Iv97B9H1tbWUi3TqiTHKWp+ckS/ZRuBy7+RdwJtozDg0G9lBrv+DRCSA03GxfhIjTxNv09KfnHFM1PLgXSBp9Pje4obPGpsSo1VbCaAMrp73Xq0mnxh+ea6A3sgZCaOsDtU+N5efkkVav5SVd6uJrCzAMGEvxP9ONtmVhL4HWQ+LEFxXIq6I7CKrS8NNynhsqdLM2vx/zkJ2o8KzANhDJDunmZBAVVHrCSlBr9uqkowhfOWOLcfuKS2AeldF++5Htl9Mywf0+uUWdS4wnXtYVyuqKfjjmwF5O7KxNxribzU0URKeWJos6pEcKCfqybiHXxXCCuSWTGynKuD9sKWAdZ4HhCumN112d+cis15WtMZs9U3TAUSk0DfYLqCJv5KQn2jMJmnpqEmqZe4kcWVUFgOgrX4lNTjOoCgN1oS/b3GqYYGU/UMEcYxAOMGc3jmZS4UuM1IVlMDyl3WveazE9JPjfG8dT8ZB7L865UNumkJofI9K5n/icAqKOwNsiqgGYFDnymBvZdQfEq3Wb4vDv5XmwyiyuWm0oNJ4E62Tpn1SwsmzmWbNf796NFe3S5NigxP1mUmmrRSPNTNUpNgZLRElbNmUj2s5uf9M+mUuMOT007S06U2nz0wvj6Fx0xO3khwHDJUXOxeFo3Pn3ygXRDOaRbO4fhU6MpNYkTh+6AQ5UaW2XpumJQjsKtpdSQMglVwp58L/7f+Vzb4I1+0verTqlxmjwzHXjk+B/i1L1XYQ+y1oKWIwGi1NQB3zp/hX2DRzr2pg7nf9v8KfTvarVZ73618nnGKnO7N7Kq8nHiaH/VYF+V7kI5DTcxCpPP+YKi5i2i1LAEeyx/DmlSANOBWbstqiSkjUuB1X4qKIVPvvNAvPpGH95/2Azgx/qlOanRTHm2wYRsj5+JMuFKMj8lYdqhwB/vAZaeU/uxXrgdPZOVGn2yo/3Rnytop44/JJmf4udLFU+nqwMphNrzZktwdv17D8GDz7+OQ/cbA/zlaec92TCuK4t/u+Rwy5a4LSTjrpGnRvs8AJ+ar7x3Kb5w6+9x3VlLE9s5OAzG/ORZ0I0gn5plM8fgvmf/gvUHTKr5WJK9ufRMlap01+RT496elHzP7ijsvtSbEw/BAyoODkhUapqZjMYDITWNBCE13IcmQDxwK3Nf/reV1PiUGjq4G9i7q/J5+qHmdu340Ai7rvzdwatZs+1GnRJN2YlDut2OnoWiInLu6v1w66MvYf2BvcDd0LZTn5rQ41OTjkKq1HiqYSf71MTtmtzdjh9uWB1/qZEaHv1E/k7bilKaCkFpwAssClJNOP8W4I1X4lDResITaWZTamj0kx7qS/uqL1+ojEhWh0r9pPHgnU1p2X2JGZH61NiKBrZnIqyaM85sSx0m2tVzxuHKEw/Agt5RwL8wnxo+oU0/FHj2V/YTWRZGJy6eghMXTxl0GxNRr0nLG0AxvEnN19+/HP/58HactKT2/raanyzJ95KSSuvvzKdPOYhsyvPke4yI1hTSDW4aHZnmJyE1jYSP1ADxw1paxRlqi05MbOYnX/STeyUNIM610LcLWPtJa7OpozB/KdyKCL8eNz/pr1ve4ijMCVG+oNCVTeHHpRXx3br5iVUIJ5MSbVfGVhTOVWm7OIDk9QHdotS4wKNsiZpki1CykKuqHYWTEKUHTmjClGE2sYI9H7lER2G3mYcca5PpKasBUMwFUkyiFyg9lX2K+NT4yJTx3WAmWlVSjQJ8oBTq2zkB6Hujcik+oR350fjZWHCCpV3aPdTbETgRdSI1tWQ0H2YY25nB+w6bOaBjZ47VFjEenxprfigdB707Tt0w60icw9qiuGpaRfSTj6zobRmpPjVCahoJkpDCZqrRSI3XUThJqanRUbh3EXDuT+xt5sf7CFNilFHsSHzCol7858Mv4eSl04Bi4l97FViq1BjkQekfq3cUzqZC0i5erM2WHI6qC8xR2DPWB5zo6W1hoc6lI/i+5eR7xPF1iNPJR9kqSQ0zP9UQ/eT1xymTGpejcDx467XBAn1AD1OEEPWnK06QtppGXh+QmmB5ON7zz8B/XAEc/bfxpTjpTbcDR1xuP13SGNJI1E2pGfkh3QPBKUun4omXd+HQ/cYCTxTHW6bGAlWYn7JdwIcespqhjDIJC94BPPMLbFex756NwPiuRwNKk0iNmJ/2PRBiYllpk0q2HvJgIzUpD6kZ7Kqz2pDuhMipkhPtF884GO9d8Res6NlZJjUFhDhwarczT41dEVFkX6ciwl5a0/zEzWJmX5PcKiSjcOB10DR963SlxkZq9F25+SmB2DYS2VFA/27HRjeBtPj6Vm1+opcwzU+RhdSQgpi6UsMKWvZHGqnJveW8Xvy5zivUSQcAH7il0rTAcU82eKKfGo96kZqRXyZhIIjCAB87oZiM7vce81M1z5tjH+pTEwErLsT1D/ThH5+d4DyVz/9Xf1dHqlIzvLW/kQ6fozBA/SS8xGQwyfcGwFuJ86rH/GR70VieGiCOYDp83nhS+G/R9HFxKK3j3DGpYZv1ekxBwJQarZ1tPeQw0/xE89TQ+imWMgla/x930GTMnahNkAzeekRtngR5QLmNPUXn6A69fwYT/TQQvOf/Al29wGnf8O/HHYVtPjX6H9WaHixKDena4rNAlBpQRUhfaeaTlK5q8tRUgyrUjQHnKBlypab2iB8rfGpMC5MagtLvHIb6f2TTQEAqhQchEEa4r30VXoN7rPE/c5XzJfrUzFsf/2/zFWwiRKlpJJIGJN+qNdH85Eu+N0gpXTvGLASYYH5iPjWuYyNr6QdKanxF0UJOavQXcPw8sm8mCr1RWUTCtYV0a/2/dv/JzjbFt+AzPyWQmmIbP3vaIjz8xx2YM+EFaxuGBNOWAx95Inm/KkK6VZXmJ9t53dFPRZ8aXanRk9yFEcKgBqWhbiaRKkiNvuZImtD0expqpWbW24H/93Oge/rgzuMjLi1sfiLwOAoPitToj1vx+ehPCD/3kZoCUWoSNI9FpwPtY4DexUnNHFIIqWkkCKlJMD95ktglZhSutUxCEghZqNFRmJl5amtXgk8NdKWG+yZo5x7HSE0qJPeUiqJEpcblU5Pk2GhOUrU7Cs+fNArzJ40Cnt9e2TbUpKZaVJF8z1XQsirzU+AiNaZPDeDO3JsInx9ZLahRqUl0Es1rVdKHWqk57RvAPV8HDj57cOfx3eM+o9RQR+GangEPlAJw9MfjKMeJsakrZ7MBa/ARaV1pTS7hEQDzjqm2qUMGITWNRKJS45mokkxIvpDuGhOJme3SMwr7fGpqJDWW/CbUNMHMT3zVz8xP+mBATA9MqeE+NTdesJK82LQityWkO/KQTwav+alKnxrr30PtKOyDx3/Jmqemyugn2zVcdUdtPjUhM5eQXEQKsUze/6bjekNniQ9dRM2GnFZQdKhJTdcE4KiPNfYa+6hSoyuQahAO2QoKePv/It/ZMnPr8D1zVKkRnxoBR1JIty/3SJL5ST9fA9OQh56sv0nmJ0PJSZT4qXpiLjgqXxw8vYdMeNm3Xq780UPDHjOM1IzraieEiCo1/ozCSf0ZgFUu1yelKn1qyMlKGGqfmmrByMdhs8cZu7iVGs+gWTpvgqMwUWoUVWoMgukjlfV2DvaAZpNN2FlXakZohlcv9lGlhqSUGIQ/tu1YW2ZuHT7zk06wqqkRNRzRgm/JMEItPjW+Y20TGvGp8RGPQT6YnjIJSY7CpvkpIeqBKTW+Fczfv2sxeekyfTsqGxlZzLCQbt5f1KfG4ihcg+knCAIcMmMMLls3D9e+52CSnwTpzoSDfWH9w1tU/cX/PgpfOH0Jzlu9n3/HqpUacxsdjG0+NXSFqpMgpRSpbWO5oPH5s6cuAgBceeIBnuNqR1CL6aHTHcXSEkjyM2sVlJWakgN8fU5rGyGTlJpqfWpGKob3SDnSkZQ8rVpSYzU/+UjNYFc/enSGZ6KtIvme89iEqCyro7BGcsZ2ZvCMVu3h5QVnY/pL/w0sO9c4F49+MpxbLUrNgJxbgWLyvQCXrZsff/GMRmqSVtrGYJPw/AwjTBvTgWnLqoiCsJDLdBSYq0sbqUnwqQnAzU86SUac78MJczR/78oZOHHJZIxua5zpL3Fym3IwcMI1wJj9GtaGpuDYzwJ/fhqY7igx02pgpMbIZzVA2BZ+/bkEpcYzDPkSi44UCKlpJBKVGl9UQJL5qUpH4Uaan2zt8ik1lvwm5KVkSs3SGWPY8fSF01e5ua4pwKX3mu1BPGn6fIFsTsGu2k/JpIbdc98u+442+CKnhjmpqRoWgpgKQ/TnqemoMvhrhyb41CSGIGc85ifdR02LMqqZ0NQ4KczxpAcoY8WFtbVhOCBp3Fm1cWjaMVzAzE96pt/xXRbXhCpRb6UmMcXACICQmkYisUxClY7CVvNTlVW6B7kiCCJfjglL+zUSdOahLL14ItmqtPXEJVMxY9ZYuplNGNXm+8ikIq/ZgyhKkaVMAvGpSXAU5re19w3rflVhsPmGGoZBPFMWUpOOArzVz/YrkV7tK1v0U5ZkFGbESINS8Cs1mQ7glK/FWZTbezw3kITqSM1vt6xHX67QUBWoqZi3Hph0EDD1kGa3ZHiAh3SHAe7523XIFxTaMwNX1m3mIlupEh0bjpyDXz75Kt6xyExPcdjssVg+cwzm9yYENQxjDKeRsvWQSGoGYX7yOQrX0fku9KlA1lwzlf1PXjqNbUtwMta2zxiXvIKt1uEyVmrc17Y5BZPIqxqUGkNW7hsMqRk55qeqYSGXtvo0yT41MWhG4QSlJin67OCz/NvrCFJ9vhWRygIbft3sVgwflJPvVZ7XCaMGrtCUYVEGk0K6V88dj3s/vg5jO8wxJRWF+EGpUO8IhZCaocKgHIVrTb5Xp3SV/Fz8fFY/IY8jaBKpScqBA7dS43O4zCb41FClxpanpnqfGqMZe2swPxknS3gGRiIsz4dR2FTbRs1PNlKjRz+5SY0CEhyF64QW8EkQNAClMbrOIexjO80xOCn5HjA4k9dwh0Q/NRJ6QUCrUlNl+vDEMgk+R+HBkZrQmHDMRHXOaxsEwIycqimFvuI+NVpTPLcZh3S725W3EBhXRuGk/uzMMKI6qIk0wX+pWaiRKH/j/cuRSYVxNJjNpyayRdGZ30VhEFe0BmLnWVBS4zc/qWSlpi4QUiOwYO5aoGdG3ZLVfeP9y7F6zjj8XTFCT0c1pKaVIUpNI5HXHAUiW56aQfjUpHxKTf1CukNfMTqb+cmr1CSQlijJd2VgPjU8+Z6RBddCHly1n5KUmiuOnU+/OOX/AD/6YGUy5vDmamkNR+F1B0zC7646FqkoBHZqWZKrUGp0hAGANZuB5RcAoyYBoKarRPPTguOB//my/V2sF6Yua9y5BSMXs94OXPZw3U637oBJWHfAJOu2JPNTq0OUmkZCT5xlIzBVm58SMgr76jMNRKnRyQKXQJImWh9xsWwj4ouv8rgFSaTmorfPxoRRWVx85Bxvu8gQUCQwM8dp4cm+wqMME0cxM+OEBcCFtwPz13uPsyJIUMVGEFIl4kKUmvi/TJWkJgiKvlGjKoM5OTaJ1MxcDXzg1rpOLmV88C7gqI83PgOvQJCAL5yxBACw+fiFTW5JcyBKTSNR0JQa24q8akfhhIzCDUw1nk7xcyeZnzz+PEk+NcTvyNJfRvST+1IA8LET9sfm4xdWJkPHtfMF0yn7a+9bhq23PIYNa+YCoeYXM5Qhj/okPZzMT4OBxeR63ur9sOlfH8bhc8cDfyx+WWUqAuJk7DE/lTFjZVXnrRkT9y/X3hEImon1B/bisU8dN6ioqpEMITWNRJ7HqTJ489QkOOT6ku+5zjMAvOsQTwTTYMxPsPjU6KSmCvNTUIX5yepAzL7LW+o87Te+Ezecszz+bteehHY1CLpP1rAiNYMJ6dbzysT9fuah03HQ1G7MndgFfKZ0idpJTaL5SSDYR7CvEhpASE1joZufbPDmqdGrdCdkFPaGcA9uEj5oajc7XZL5yeekXINSYyMPHqUmsTAgaQaLfkoKn2+o6cfTbkJqRq5PDYHev8XfMwgC8zmr8rklyfcKCXlqBAJBy0N8ahqJRKWmXuanxik1lhNWPlqT71XrKGxpV40+NTqRqamWCvepcYVvly+kfefN1lnnvtYn6RHuU1MGITWevhyI+anTLKZZvpREJQkE+wREqWkkBkVqajA/NVCpMU+XYH7yhXQP1qdmgHlqjPMZId36Nktf6oRCV0+MSzSS1Ayj9cdgbpP0r4doVEtqNEfh3NpPIfXWa8DyDwywcQKBYKRDSE0jkWR+8lVeJk6iCRmFfY7C9Z5ok8xPgwnpTrf5t/OmVJmnxjyQZxTW/rARRN2fxeuMWue+Hj+3vucbDrD41FhRSr6X8PwSpaZrEnDOv1r3E/OTQLBvYBgt/1oQSaSmnRds1KCTmqTke3V3kPRNJLVEP/mS75VCurXZJtFRmKLaPDXeNgLI66+BjdToitpQKjXtY4DLHwM++of6nnewWPLe+P/5x9V+rN5HXvNT0ZE8gY3oyfdsz8DCYg2b4w7qraGRAoFgpEKUmkbCNwECwOGXA3+8F1h0uuVYTRFIKpMwlBNtUpXuqssk2HxqalNqaiI1vtpPZD8LqdGP9Tij1l2pAYDRU+p/zsGieyrwse2kmvWAUGefGtsj8JNLD8euPTlrOnmBQNB6EFLTSCQqNT3A+f9p39Y5vvI5yVHYO9E2EDZSMyifGj3TazVKjf3UiTDMT7r6lBAKWYW6UBOGMkS8nsh0JO+TiGTzkzXbsAa9ho2N2KajUAiNQLAPQUhNI5FEanxo6wYu/mWsyNicRPXJ16sINdCnJjH6KbkEwAfXzMUvn3wV71wyBUi9ar+O6xS+zMfeA30+NQmvxFD2daujCqXmuIN6sehX3Th0v7HW3cZ2ZvDN85YjE0W1hfULBIKWhJCaRuIdXwT+8Zg4ffpAMHlxdfuNmeneNtTmJ29BSxjbVs0Zhwc+cQx6OtLAH35V3bFF6HNY8nzmlnVySdFPOnyqWJUmE0ERNlKzZjPw863AcVcDANrSEX5y6eHe0xy90F4DRyAQ7HsQUtNITF8BfPxPtPhkPbHxHmDP6wl+Fw3MU2MlNQkRTpZtY0rmgUE4CgeJ96nJMezcidFP5DQ+UiNKQU2wKX1rNsW+Zo16ZwQCQUtDSE2j0cjBecL85H0aGdJtNT9VSWpsIGHqtZGawSBfi09NG898q2Mg7dkHidARV8QO8guOt28XQiMQCAYIITUtj0aanxLKJFSp1JSRmHyPnyN5l2p2plW6Ha/EKV8FnrsT2P+dnkvsgwRlIFh7ZbNbIBAIWhRCalodjSyTUGtBS3Ka+ibfGwyUnqfG5VNz8Hvjf/4W1adBAoFAIBgQxLNRUBuSzE9BbdFPBESpaTw+dfKBGN+VxadPXVT5Msn85IMoNQKBQNBUiFLT8qhz7pQk81PVSk1CQcukxIV1wPtX7YdzDptJe2hQEUxCagQCgaCZEFLT6hhq81O9fGqqyPHTmalcPzHBmqMfjNpCvtIVSRBOIxAIBE2FkJqWRwMdha3mJ/1zjaRGV36qIDVRGOCRq46FUooWNhwITr4e2LMDGDtrECfZhzIKCwQCwTDEiPCp+cMf/oALLrgAs2bNQnt7O+bMmYMtW7agr28QGXv3FQx1lW5PkjvneWz756r7bbuyKYxqs5CrWrH0fcCqjYM7x0D6OimDsUAgEAiqxogYUR9//HEUCgXccMMNmDt3Lh555BFceOGF2L17N6655ppmN2+YY6jNTwn1narZBgD5vbU1KxFDoYgM4BprtwDP3QWsuKj+zREIBIJ9DCOC1Bx33HE47rjjyn/Pnj0bTzzxBL761a8KqUlC3ZUa7bPN/IRqSU1Cu3L1JjVDgIH0dc904MOP1L8tAoFAsA9iRJAaG3bs2IGxY+1F7krYu3cv9u6tTI47d+5sdLOGIYba/OTY19zoPzbfX3WThg/EP0YgEAiaiRHhU8Px1FNP4brrrsPFF1/s3W/r1q3o7u4u/5s+ffoQtbCVkVT7aZian4bCIVecfgUCgaCpaCqp2bRpE4Ig8P57/PHHyTEvvPACjjvuOJx++um48MILveffvHkzduzYUf73/PPPN/J2hicGNNFWmafG6uRaJ1JTpaPwsIJU6RYIBIKmoqnmpyuuuALnnXeed5/Zs2eXP7/44os46qijsHr1avzDP/xD4vmz2Syy2Wzifi2NTGedT5hU+6lOpMZXDXsgGDs7eZ9BQ5QagUAgaCaaSmomTJiACRMmVLXvCy+8gKOOOgrLli3Dt771LYShrIq9OPFLwD3/CKz7ZH3PGySYnwar1Bz9ceDuG4A1mwfUPCfmHA2ccA0w6aD6nleHmJ8EAoGgqRgRjsIvvPAC1qxZg5kzZ+Kaa67Bn/70p/K23t7eJrZsGGP5B+J/9YZevsBmfiJkpcY8NQDw9v8FHPGRBkRtBcAKv7myDhdp8PkFAoFA4MOIIDW33XYbnnrqKTz11FOYNm0a2aaUalKr9lEUNLOQzfzUoUWkVVtDqpZtwxkjtd0CgUDQIhgRNpzzzjsPSinrP8EQQ1dqbOanUb3Aad8A3vNd/yQ/7dD6t63pEFIjEAgEzcSIUGoEwwhJ5icAWHy6+/gPPQS8/iwwbXl92zUcIEqNQCAQNBUjQqkRDDF8k7NOagYyiY+ZCcx6e+3HAcDCE+P/5x8/sOMbDiE1AoFA0EyIUiMw4TPrFeocal0LTv0a8PufAvPWN68NPginEQgEgqZCSI2gNuhKzVAjOwpY9O7mXT8RwmoEAoGgmRDzk8BEteYnAYX41AgEAkFTIaRGUBuE1HggpEYgEAiaCSE1AhMHnhb/P36+fVvXJOCgdw1tm0YCRKkRCASCpkJ8agQmjrgcmHQgMHO1ua1tNHD5Y0AYDX27hj2E1AgEAkEzIaRGYCJKA/uf6N4uhMYOUWoEAoGgqRDzk0BQL6Tbm90CgUAg2KchpEYgGCxO+zowdjZw6j80uyUCgUCwT0PMTwLBYLH4jPifQCAQCJoKUWoEAoFAIBC0BITUCAQCgUAgaAkIqREIBAKBQNASEFIjEAgEAoGgJSCkRiAQCAQCQUtASI1AIBAIBIKWgJAagUAgEAgELQEhNQKBQCAQCFoCQmoEAoFAIBC0BITUCAQCgUAgaAkIqREIBAKBQNASEFIjEAgEAoGgJSCkRiAQCAQCQUtASI1AIBAIBIKWQKrZDRhKKKUAADt37mxySwQCgUAgEFSL0rxdmsdd2KdIza5duwAA06dPb3JLBAKBQCAQ1Ipdu3ahu7vbuT1QSbSnhVAoFPDiiy9i1KhRCIKgbufduXMnpk+fjueffx6jR4+u23kFJqSvhwbSz0MD6eehgfTz0KCR/ayUwq5duzBlyhSEodtzZp9SasIwxLRp0xp2/tGjR8sLM0SQvh4aSD8PDaSfhwbSz0ODRvWzT6EpQRyFBQKBQCAQtASE1AgEAoFAIGgJCKmpA7LZLLZs2YJsNtvsprQ8pK+HBtLPQwPp56GB9PPQYDj08z7lKCwQCAQCgaB1IUqNQCAQCASCloCQGoFAIBAIBC0BITUCgUAgEAhaAkJqBAKBQCAQtASE1NQB119/Pfbbbz+0tbVh5cqV+M1vftPsJo1o/OIXv8BJJ52EKVOmIAgC/OhHPyLblVK48sorMXnyZLS3t2PdunV48sknm9PYEYytW7fi0EMPxahRozBx4kSccsopeOKJJ8g+e/bswcaNGzFu3Dh0dXXhXe96F15++eUmtXhk4qtf/SoWL15cTki2atUq3HLLLeXt0seNwdVXX40gCHDZZZeVv5O+rg8++clPIggC8m/hwoXl7c3sZyE1g8T3vvc9XH755diyZQvuv/9+LFmyBMceeyxeeeWVZjdtxGL37t1YsmQJrr/+euv2z33uc/jyl7+Mr33ta7j77rvR2dmJY489Fnv27Bnilo5sbNu2DRs3bsRdd92F2267Df39/Vi/fj12795d3ufDH/4wfvKTn+D73/8+tm3bhhdffBGnnXZaE1s98jBt2jRcffXVuO+++3Dvvffi6KOPxsknn4xHH30UgPRxI3DPPffghhtuwOLFi8n30tf1w4EHHojt27eX//3qV78qb2tqPyvBoLBixQq1cePG8t/5fF5NmTJFbd26tYmtah0AUDfffHP570KhoHp7e9XnP//58nevv/66ymaz6rvf/W4TWtg6eOWVVxQAtW3bNqVU3K/pdFp9//vfL+/z2GOPKQDqzjvvbFYzWwJjxoxR3/jGN6SPG4Bdu3apefPmqdtuu00deeSR6kMf+pBSSp7nemLLli1qyZIl1m3N7mdRagaBvr4+3HfffVi3bl35uzAMsW7dOtx5551NbFnr4plnnsFLL71E+ry7uxsrV66UPh8kduzYAQAYO3YsAOC+++5Df38/6euFCxdixowZ0tcDRD6fx0033YTdu3dj1apV0scNwMaNG/GOd7yD9Ckgz3O98eSTT2LKlCmYPXs2zj77bDz33HMAmt/P+1RBy3rj1VdfRT6fx6RJk8j3kyZNwuOPP96kVrU2XnrpJQCw9nlpm6B2FAoFXHbZZXjb296Ggw46CEDc15lMBj09PWRf6eva8fDDD2PVqlXYs2cPurq6cPPNN+OAAw7Agw8+KH1cR9x00024//77cc899xjb5HmuH1auXIkbb7wRCxYswPbt23HVVVfhiCOOwCOPPNL0fhZSIxAIsHHjRjzyyCPELi6oHxYsWIAHH3wQO3bswA9+8AOce+652LZtW7Ob1VJ4/vnn8aEPfQi33XYb2tramt2clsbxxx9f/rx48WKsXLkSM2fOxL/8y7+gvb29iS0TR+FBYfz48YiiyPDqfvnll9Hb29ukVrU2Sv0qfV4/XHLJJfj3f/933HHHHZg2bVr5+97eXvT19eH1118n+0tf145MJoO5c+di2bJl2Lp1K5YsWYJrr71W+riOuO+++/DKK6/gkEMOQSqVQiqVwrZt2/DlL38ZqVQKkyZNkr5uEHp6ejB//nw89dRTTX+mhdQMAplMBsuWLcPtt99e/q5QKOD222/HqlWrmtiy1sWsWbPQ29tL+nznzp24++67pc9rhFIKl1xyCW6++Wb87Gc/w6xZs8j2ZcuWIZ1Ok75+4okn8Nxzz0lfDxKFQgF79+6VPq4j1q5di4cffhgPPvhg+d/y5ctx9tlnlz9LXzcGb7zxBp5++mlMnjy5+c90w12RWxw33XSTymaz6sYbb1S/+93v1EUXXaR6enrUSy+91OymjVjs2rVLPfDAA+qBBx5QANQXv/hF9cADD6hnn31WKaXU1VdfrXp6etSPf/xj9dBDD6mTTz5ZzZo1S7311ltNbvnIwoYNG1R3d7f6+c9/rrZv317+9+abb5b3+eu//ms1Y8YM9bOf/Uzde++9atWqVWrVqlVNbPXIw6ZNm9S2bdvUM888ox566CG1adMmFQSBuvXWW5VS0seNhB79pJT0db1wxRVXqJ///OfqmWeeUb/+9a/VunXr1Pjx49Urr7yilGpuPwupqQOuu+46NWPGDJXJZNSKFSvUXXfd1ewmjWjccccdCoDx79xzz1VKxWHdn/jEJ9SkSZNUNptVa9euVU888URzGz0CYetjAOpb3/pWeZ+33npLffCDH1RjxoxRHR0d6tRTT1Xbt29vXqNHID7wgQ+omTNnqkwmoyZMmKDWrl1bJjRKSR83EpzUSF/XB2eeeaaaPHmyymQyaurUqerMM89UTz31VHl7M/s5UEqpxutBAoFAIBAIBI2F+NQIBAKBQCBoCQipEQgEAoFA0BIQUiMQCAQCgaAlIKRGIBAIBAJBS0BIjUAgEAgEgpaAkBqBQCAQCAQtASE1AoFAIBAIWgJCagQCgUAgELQEhNQIBIIRg/POOw+nnHJKs5shEAiGKVLNboBAIBAAQBAE3u1btmzBtddeC0mCLhAIXBBSIxAIhgW2b99e/vy9730PV155JZ544onyd11dXejq6mpG0wQCwQiBmJ8EAsGwQG9vb/lfd3c3giAg33V1dRnmpzVr1uDSSy/FZZddhjFjxmDSpEn4+te/jt27d+P888/HqFGjMHfuXNxyyy3kWo888giOP/54dHV1YdKkSTjnnHPw6quvDvEdCwSCekNIjUAgGNH49re/jfHjx+M3v/kNLr30UmzYsAGnn346Vq9ejfvvvx/r16/HOeecgzfffBMA8Prrr+Poo4/G0qVLce+99+K//uu/8PLLL+OMM85o8p0IBILBQkiNQCAY0ViyZAk+/vGPY968edi8eTPa2towfvx4XHjhhZg3bx6uvPJK/PnPf8ZDDz0EAPjKV76CpUuX4rOf/SwWLlyIpUuX4pvf/CbuuOMO/P73v2/y3QgEgsFAfGoEAsGIxuLFi8ufoyjCuHHjsGjRovJ3kyZNAgC88sorAIDf/va3uOOOO6z+OU8//TTmz5/f4BYLBIJGQUiNQCAY0Uin0+TvIAjId6WoqkKhAAB44403cNJJJ+Hv//7vjXNNnjy5gS0VCASNhpAagUCwT+GQQw7BD3/4Q+y3335IpWQIFAhaCeJTIxAI9ils3LgRr732Gs466yzcc889ePrpp/HTn/4U559/PvL5fLObJxAIBgEhNQKBYJ/ClClT8Otf/xr5fB7r16/HokWLcNlll6GnpwdhKEOiQDCSEShJzykQCAQCgaAFIMsSgUAgEAgELQEhNQKBQCAQCFoCQmoEAoFAIBC0BITUCAQCgUAgaAkIqREIBAKBQNASEFIjEAgEAoGgJSCkRiAQCAQCQUtASI1AIBAIBIKWgJAagUAgEAgELQEhNQKBQCAQCFoCQmoEAoFAIBC0BP5/Ru80dJX0PD4AAAAASUVORK5CYII=", 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" ] @@ -303,7 +303,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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rTtHA6TpYdCLYZl34/8K4DinMEY80qAAwqWgwDnrOdZKNkU7XhCKjBLiOj2wMpHMYyORLxsWcLpWGnjlWzCkFPIGGBpu1dwNiY1SZLttXllFiKXU143IchwdAUzxrHiiI/lWliNmz1tZYh7p4Ydt0g1j1zI3Xbk0s2taDA+rs1jcf2IFFazfip0/sVDYG49wQwGtQVeWumXFqSsZ5ySJPSyl8GFmOeGKZh/GAQidif/9o52Zi0aiqdLpGUvSWZXFjf1iR8WJjaqiLoykZB+BukAcHMgrXPGOTRjsRKte863S542LzxTYnFWApz8ll1ryqjbEvneMHebI139qYRJHkxeFBRWu+rzTIAIAJTanimNS1GRipmwL0sFt7e4axt2eYs10qYJwbArAHIJO3lS18ZgS8TgQ39Aqj2ANlmJsJig0q4NG2lBgvtePK2w4/6NS7MbY1qh2XN+JnqUU2prztKKsAKsdEtDUVhLtKN6By4yqK6LsVbdaAN7U4es2rGhd7DselEmgoOs7xmMXX1yHFDr03+JlQXFuqxgR4GOcydkvluA6WmS/ZMM4NAVIJtwJI1SncLJXibdGvgxaIGQmv08UeAJUnlo8UFAOeKFYRo3R4MAPbASzLNViAy3SpYm72l9GQ1NfF0VjcjFQzSpPHjTb0qsYEjE4tAu5zeUiREzGczfO+Tt4NqJU7EWqcQTc9XHq0CN+wFT2L5Zwb5nDpkC4rWfPjXF2eKjCbOXHEfZQJ49wQgS185cxNyaZYWPQ9Q1nkFD2MfNGX2ax10LZM0SgCOsDz/IUSTwbVUSxjjCaMONuKj0vRhs0OE/U69BP4c5hR1tSMPYvMcSgZl6J7yMaUiFlornePGJzAmS5Va360hgRQz6KW0+R502WqDrItxwpO0oG5YfKDJsPcjDkw2lnVAmORV5vHoLY01LkP45Cah5Et+lJti6vXUIFMzuYdZCeVifpVjaucI+j9t6q11VPc+LxrC1DPkrBUSmuxhwzgOhS2A/QqOoKBnTHnHZdq5oZtxq2NdTy1CKh3nJlTNfJQWNVrntkALxMRj1n8nqpyBtl8eG3EhHFq5yrvKZsfycDJhHFuiMCMhKrcNROTsUgMKDyMzfVqc/3V1P2HBtJKouvuocKYLAt8fkaOSwU4EzHCidBpY/SCjUsVW8kcdu+4kokYP4JBhbHP5m2e/ilhbrgjqGiuiveouaH0HvJxKVpbLMhorTAuVYFGpTU/QXHq2h1XmbXlKV+XiZ6hLNjHjnRSZcI4N0RQvQEx5mbCCFrQZZTUMjfeCKjNE12rMKq9RYPa0lDHG2EB7typyvMzQ19pA1I1LuZEtIw09MV/K2duKjiDKpyuXg9D2uJlbopz1Z/OKelX1DM0muUCPHZLFSvoeRa9UF0B1MudrgpspQK75TgOv4/eZ5HZU8dRE8SyzxyXSvCyeRUwzg0RVFP07GHzMjeAa/hVPYxsg/HqNZKJGG8epiJdxqKfSgZVVXkzY5QqRYvKmZuGdwmjpNDpYuu5uT6BuMdxbq6vQ4zrNVRsQKMjfkC9FqhHU1awktOlsnJxKJvnHbm9TmpdPMbHqcJJrTRXsmGcGyKwh1PVw8getkq6CBUGtT+d4zTpyIXP/t2jwLmp9DCye5jO2bz3hg7jmqBYF9FTyelSuDE6jsMdCZ3SeJWciJi3vFnFuGqkf5Q5qJyJKJ0v9gz0KtIKVgo0eOpaAYvK1lZd3OKVigxsnCrsabdxbsY2VEdAh8sI4AC1Thd70JKJGOrrSh9Glc5NJeZmXCrBo2sV4+qtsAG1cj2XWr1GpZSGiii2r4rjrPJZrOQIAh6nS+HGODK1yMY5nLUxVOxCLROVHHrVzk3lcSVLfq9qTF5ROHtN1bh6y2jfVMA4N0RQmf4BXEM+KopVOK5qdCV/GBU6XSPHZVkW17uoMKqVNqDmhkIKT1X1TyXNDTNmKuaKrZv6utGOs/ssyh8XEwyXW/PMOVRxH13NTal98Dr0fQrGVclxbla4WQ9n8xjO2iXjcMel7lmsFJQBbmGEynEZ52aMYoLCHHEm51ZojHZu1OkPfDk3CmnUcg+jjukyZmAzORvDWbnRteM4Hl1E6dpyDar8DsWVKssAdwNSslkPlZ8rAB7HWd18jVzzJQ69gvmqFPVz5kbB2mJjilnglXcMfM0rsQ/lBfSAnsGibBjnhggq+9x4jdLISENlFMuMuG7OTa8Pp0unyGxcMsH7Fcke11A2j0yxAWSl6FqFoWdMZLl7OF6h09VTpvcOAxPR6xZds3H1qHC6Kjn09a59kC3u91Yteqsp2WuAKvatCnPToPAecrulrgwcMM4NGdiC6xuW/zCy08DHp0orNAC1/XfYpuftiMrQolIAV2Vj9BpV2ahkvGKefkWyo/5qIsZmlZt1FfaNj0shK9hWdlwKU57VNkZFKY1MzsZgUeczMl3Gxpm3HX4ivSxUEl97x6WUfSvr3OjpdMmEcW6IwBaX7UD6w8iM5fhyToTCh1HXtJTbOOzdQ++qyvV7o7KRIkbGkPSnc9KbMVbqmgyoNfSubqpyukxlqqVsukyR08XWu2WNtl31dTHUxS0146qqbVHv0I/UvgGq7WllEb1MGOeGCKmEuoeRMTcjU1KAazRU6A90d27KzZeqDSibt9FfprMtH5eiDahSSSzgri3HAdd8SRuXD3FlnwotkIYMCVD+qAoGVWuebYrN9aPTP5ZlKbMRrhNRTTellz3VkXGWDePcEMGyLGVGlRnLcsyNG8Ua5oah6gakaFxeY1kujafKeFWLYuvr4kglCiZFtvPMnKmqDqpCPVe5ezheUWoxm7c5m1x2vhQzN5UiftXjquo4K2Er/aTL9Kl4kw3j3BBClWDQNaiVo2tvQz1ZqMaQqHwYq/VlUG1Qx6cSJSeC83Epiq6ZE1HOcQbUVQCxAGJcqrIjqIIh6efzpU9qccDDqpWdL0VpvJ4qdgtQF2i4zk05B1UdW8nHVc5uacqEy4RxbgjBbq70KNZHWgpwDa8s+HFuZD+MjuNUTWmopsIrGQhVTld/FScCUKdBYM9YNedmOGsjnZOrf2PzVZZFVXQPmX1IJWJIJso4zooYpb4qcwWoY517qhQceNlK2feRPWNVqzw1a60hE8a5IYQqI1EtLZVK6P0wyu66O5TNI1dksKoySooc1NqGXrJz45u50Wdc4zyvyU4Rs3GVc7pc/ZuaMVW+h2oc1GpzBagLNHjKswajpG6+qtktuWtrOJvnB8Eazc0Yhqq0FGduKjyM4xVpgfzkroeyeeTy8s5xYpG1ZQFNI0qbAS+9K3euBmptQIoc51obkKpGftUYknjM4s3XZDpdtu2481VV/6bKEazOCkp3uoYrzxXgsoKynRu/45L+LFZNxbryA5n2lK1ly6psI2TBODeEUCYorlIKDrgLX3a6rJoWqMnzIAyk5aUO+jyb9cjSZkAdvVsz/aMounYZpRpRrKJUS7koFlDDkvRnamhbFJXO115bitk3TcdVc740YlG9LLTMQMO7tsrZU5kwzg0hOHMjPf1TWXMDAOMVUZYssmkuI8xLJmI8XebdFKgxUMNwqSqd505XjehaO0OviK2sxpAAajYgZuiT8dHnXQHqxKh9Pte8Kse50j1k4x2QrBX0zVZKfBbztsMbHpYbV108hvq6gj2VOV8sMFXN2gDEzs1jjz2Gj370o5g+fTosy8L9999f9fr77rsPH/7whzF58mQ0Nzdj0aJFePDBB0uu+frXvw7Lskp+Zs+eTfgtwkOVAI4ZpYo5YgUbdjrntu0fXyG6Zg9Ev6JIo9qYBjJ5qZ2mfUfXsqulmHBXu2qpWmyl/HHVcrjq6+Jc0CvzWaydZlHtOFe3DwMSgx+gtnPjOoPy1xZQynp7weZRJlvZl64s7JcNUudmYGAAc+fOxbp163xd/9hjj+HDH/4wHnjgAWzbtg0f+tCH8NGPfhTPPPNMyXUnn3wy9u7dy38ef/xxiuFHhupS8EqGXgVF7001NaVGR7GAa2z70/Lmq6/GBsQe0rzt8JOBZYAZ8HEV5orNofQo1nO0RzmoWPOO4/hIacgfV7XydAYV/Yq4I1iTrVSlIalgH1jwIzFtDdR2Btl8yXwW2XqvVPEGuPMo0xmsNVcyQTqCZcuWYdmyZb6vv+mmm0r+/c1vfhO/+tWv8Otf/xrz58/nrycSCbS3t4saJhlUaW6qlYIDLnMiMzJjD359Xaxs3xbANV5SdRE1NqDGZByWVUgd9KdzaCgjOqZALQ2JCpYLqM1GqEgdDGbyYJKVSuNqUsEK1oj4C7+L40C/XJ2Z33uYztnI5e2Kz6tocIe+5j1UpQUq/yw2JRU4NzWqKQFPsKjZmpcFrTU3tm2jr68PEyZMKHn91VdfxfTp03Hsscfioosuwq5du6q+TzqdRm9vb8mPDKgSwLlpqepRrMw8vz9Dnyi5VgZchqT8uCzLwrik/HHV2oCaFOkPagmKmxTOVTxmoaGMtgXwbIwytS01UniAmvtYi1FSJu73KQqXOSavtqUS46xibfX7SP+oeBZraRhlQmvn5oYbbkB/fz8+8YlP8NcWLlyIW2+9FRs2bMAPf/hD7Ny5Ex/4wAfQ19dX8X3Wrl2LlpYW/tPR0SFj+Eooem/5aaUNyC0Fl5jn97HoxyuINPykDlRsQK6RKG9QWUphIJOTqwWqcR/VbNauoa9UoaGCUaqVwgNUbYzV7UMyEUMyLl/c73dtqQh+gNpMl1zHuXb6R8m4jHNTG3feeSf+7d/+Dffccw+mTJnCX1+2bBk+/vGP49RTT8WSJUvwwAMPoLu7G/fcc0/F91qzZg16enr4z+7du2V8BWXlp2yvq6W5USGurCR+A9Q8jLUYEsCN2NSkyyowJMW5sp1CbyAZKNG21ExLqYj4a0exUvUHNeYKUOt0+VnzOqValNgHT8VbKlGduVGhuanKhKvQAh0pmpuwuOuuu/C5z30O9957LxYvXlz12tbWVrznPe/Ba6+9VvGaVCqFVColepg1wRbeoAKPvlL5KaDmrJ0BP86NEqGzHyNRV3KtDNQSOo/UAjUm6R/l4azNzyOrHF0X1pwaJqL2Zi1TjOonulbK3NRglA4PZtUEGjUqF/vTBbZSRh8VNyirrLVzCyH0CX4Ad21JDcoMc1MZP//5z7FixQr8/Oc/x7nnnlvz+v7+frz++uuYNm2ahNEFA/foM3lpTboGfDERelL07EFVYySqiz4BvXLXlmW5OXVJxouVeVpWwbkqBxXlurWOqgDUMCS1NCSF3zGGRE3jykqQPV+1ujkDroORtx2kc3IqF/0wuyruoR+HfrymjJIskDo3/f392L59O7Zv3w4A2LlzJ7Zv384FwGvWrMHy5cv59XfeeSeWL1+O73znO1i4cCE6OzvR2dmJnp4efs3//t//G48++ijefPNN/OlPf8Lf/u3fIh6P48ILL6T8KqHgvcGDklIHbCFX2nwA10gwoZwM+ElLKdHc+DJeCtNlVaNruUbVT/dRlY6zH92UCtFnVUZJRbpMQ6HzQI1uzoA7V4A8NsIXQ6KgWiqQVvAILQUndW6eeuopzJ8/n5dxr169GvPnz8dVV10FANi7d29JpdOPfvQj5HI5XHbZZZg2bRr/+cIXvsCvefvtt3HhhRfixBNPxCc+8QlMnDgRTz75JCZPnkz5VUIhlYghVtwDpBkJHx0ilQjz0qzioJqh148hARRtjBoKBtnnVGoOCbhzlc070k7g7uNRbDWGRM8oVle9hrvmJTnOxTElYhbvVD4SsZjFbYSs+XLnqlqwqKdWUElrDY2YG9IRnHXWWVUrOW699daSf2/atKnme951110RRyUPlmWhKZVA33AO/ekcpkr4TOalV2Nu1Bj62lEs07boVqIum971dnPWKXXgJ1r0/m4gna8owhQ7Lv2YCEDfdJmvHimSBcVeZ76almZcfQIDmbw8hz7Amtcvna6n4ywL2mluxhpcUbHctFQ1hoQ5PgNS01JF5qaK8NVtTKegFb2PKFZWBFTSzblqelEu7exHIOvtNSN7Y6wukJUvKNaRIcnbDn/uqzFdsnuk+N0UZbMkLkNSm60clKit9FWJp0LobJybIweyH0ZmuPw4EZmcjWxerjCvWtXBeJUPo0ZGgm3WDXXxqt1hlRl6XTcgzaJYf9VSch1BryNc7VmUzXT5XVuyWVQ/aSmvgyEt0NDQcQZc21UtuJYF49wQQ7owzxdz400dyB2XP4per+haevonXTvNAniZLllOl79D8WRXl3GH3oehH8rmeTk7+biCrC1Jm6Kfvi0l45LNvtVY8zo6zqlEDPGiuFKeuL/2s+imy+Q3a611H2XAODfE4AI4ScZr0AdD4u1AKis15auJn+TTyr2t1XXKqTMDWS3NAsjfgAZ8zBUgfwNia96PzgyQ+CwW56taDyLpc5WpbR8Kv5cb9fvtbKtKRF+tWqrQlkGuQx9EUCzL4fJrT2XBODfEkB9p1I5iC79XJBj0IdxlTbqo4ae1OqDiHmZLPrcSZG9AbGOsdXioqjLiRt/RtVxHQidxP9voajV9VCUorrXm5bOV/kqbVTFdfjoUy5orv/ZUFoxzQwzZi55HZj43IHmpg9oPI9ucbKfQDZca7KGvi1tVKfrxkg2qn6qkwu8l6zW441x9bcle80NcZ1Z5XN7oWsa4Cno2pzguP1VcshxU5tz4dFAlsVx+D1yUfaSAH80NoE5bWc1JZQf+ZvK2lLYMfu2pLBjnhhjSG635SP8ArsHVqYrLe6LzoASjGlQgK9+J8MncSNqAhnwYVEA+o8QMfS1GaZzEcQ150r3VxsXtg6QDUP2wSYVx6bdZA57KRd0YJclFB0M1Tiof+TsZ+49OlVKAcW7IIXtjHPRRLQXIPwPIDxvhLSOW0T3ZryPItUCSxde+o0XJtHOtjVE2o8R1ZrVSLRKjfjZXdXELyQpN6QD3eXAcOWverxMhn33zu7YkB2UZnzZC4nxl8zbvg9VYV3lciXgM9XUxaePya09lwTg3xJDdXp0tsEafG6OMRZ/L2/wsmFpefaNEAfaQT0eQjWlIkvh6kDMRepXF+p0v2e3o2dEm/kWy9ONyGZLqc9VQF5faxdyvE6EqXVaLfePBj6TjbDhbWeEQYgaZa37QJysIuOtPhuM86KM7vkwY54YYqkSfvtNSEpyIkqZ0tZwbiedeMUPk10DkbAcZCQf2DWZ1TR0EExTLq5bSj40Y9KEDAkYcgCqDUWJz5VPPJaty0e98MQd2SKOKN0CunR/0yQoCcoNFv/ZBFoxzQwxlok+NHkbWtyWZiNV8GGVqgYay/sSV3t/LcAb9CGQB+aLPQR95fkAhRV9rviRG1+w59GPoZbIkfM3XYiL42spL1gLVYLqSshklf0y4TDvPWa4a9xCQyzoP+RSry4JxboghPbr20ecGkPsw+jnMk6FBYqThNyqri8dQF7dK/oYS7saoZ7pMryjW/QydxjWU9a8/kKl/GwiYts7bDk8pU8JvWqpRclrKb3VZg4L0j5+1JTUtxZ0uk5Y6IuCeOyLZufFp6KVoW7L+Iw02bhkbNjf0PiINmUZiyGdaiv1expgAf83yAHezlrHmg1D0MsfFHVQ/a16ijfC7WXuZHRnPol9WkKetJZXz54rdrKsJdwFPoJGVt+b9sIKujZA3rlr3UBaMc0OMJok0qm07HnGlPuXNQz6jMkCNoNifcyPTSPgUV3KDKil1kPXH3MiseAviRDRIdAb9at8AufPlN/2TiLtdzGWwJHzDrulESAwyAgl3Zd5Df9IDQA1zY9JSRwhkUs6FTa70cyvBbWhGv+iHAzA3MlMtzGgHi4D0MV7McDmSmh66wl1/AmyZeX5fFH2dnoZe6pr3qecCPM6zTJ1ZLebG49BTgwn7/Ql35QWxfoMfwBMsStUCmbTUEQGZ4krGdlhWbUdCRVqK9VyohkaJ4kq//VEAbwQks4zYX1ksQH8fvcLdWvPFGRIJFL3f3jvea2Rs1sGcGxVpKT9rXiID5zddJnGzDsIKykxL8d47mjnOQyYtdWTBzafnYROfRuytlLIsy9e4ZBiJYe7c+NHc6Jf+8V4jVZhXY1zxmMUdRmrjFay3hkwmwl+aBVCTlgo0LglshF9BMSB3vtzUtT+2Mp2zyU9399uRG1AzV/4cVLfqjRp+O4XLgnFuiOGNRKipVL+VUoVrZFaOBNFFSEwd+CwFB7xOl14llbJy6mF6a2ib/pHiRPhLswCSo+sAa17WuEpZQf9tGajvo18G1XuNlEIITdlKvw0PZcE4N8So9xwgRm3s/VZKFa6Rx5AEERRzLZAM5iZMWkpi7tpXxFgn5z4GGpNEoXOwsljNmRupFYL6aJSCsIKpRIx3dKZ+FnnwE8BB1S74kdgU1e0JZDQ3RwRinvOSZKUOfFVoSHwYAwmKJZ4dE0aYJ7NyRKeI0a+YuHCNPKFzkK6oUlnBIBuQRKFzuI2R1olgY4rHLF6hVQmWZcljK9ma9yGQbZB4D/32wQI8fYE00k3JgnFuJMDdGGmNRH+Ivi0yqXA/mhuZTbrCUPTUTlc2byObd4KPS1Jays+YZJ7uHqT6R19Bsbxx+T04s3CN/LVVSysIyGv0GaSfjMxjIXiDSF8OqjyxuulQfARCFkviniYdxHDlyFMHQ5lC9B7ESGiX/pGmbfFP0QNewaAkJ8LH2orHLKSKuhx5G6Ne/WSCpH/UiFH9OKly17zfTbFJElsZJPjxisKp7WmQoz3cvmH69CqSBePcSIC01EGI6h/bARfzUWE4V2RuEv43azltzP2zEdygErNvzEAkfFD0gLy1xdM/PsWCssS7A4HSZfKFu4EExcRzlcn5L+cvGZdGei5AfqARpCpJRio2SKChpIeSKQU/ciDrYWROhK+qJInt1Ye50+V/s5ZSCh4iMqPuv+N1UINQ9LIMvR+DCsiv4gp0zo6U6Np/FCsr/ROk4y6gZ8rTex15yjNA8CMzFev3eJbCNfL6mZkOxUcgGiVVtAwHYG5kHgYZpBRcZl8G/jBqdABd0Ly1rKifGXq/PSxcjZKsqN+/g5q3HXK20m/H3cK4JDmCATruFsYlR/8WdFOU53T5H5fMVKzLVurF3PjtVSQLxrmRAFkLLIgT4b1OlnPjq4lfSs5c5fI2MsXTjv30ZZB16GKQc2MAed1t+Zllmm5AQdIsgIw0XpgNiPYeBum4C6hIp/td83J0JEGOZwHkBRo69sEK0qtIFoxzIwENshZ9ACcCkFcxFaTPjbcSgjJ14I1GfY1LkiMYpLTZe520sljfugg5Uf9AAEZJJlsZprpMFivoN7XYIMlx5m37fQuKmd2SU6IePNCQYyN0OvA3aCGEDBjnRgJkGS8mZPPv3MhxuoL0uWmSJMzz9tZI+aDo2YYgyxEMWjlCXaIexKAWrpO0AQUQ7gJynsVMzi3nDybc1ctxltUjJWjbftnVp4FTsZKcLj+BBlt/2bzDmWrKMfnpVSQLeoxijEN+WsrfbW2Q9DAGcbpkCfN4qW6dbr01glH0DR6RLCWCR/1yNyC/jJIMtjK4cFeO0Dk4EyE3LaWb5iZIKbj3Op0CDe/6o7yPQXsVyYBxbiRAWrVU0AhIUufkIOkyb0dnyvkKUjYPSHRQA1L00vQabL78soKSov7wGyPdfIUV7lILnYOyb7IcVHfNa6YzC7i2ZKRi87bDg0U/40omYkgUz6ugbCKrW6UUQOzcPPbYY/joRz+K6dOnw7Is3H///TX/ZtOmTXjf+96HVCqF448/Hrfeeuuoa9atW4eZM2eivr4eCxcuxNatW8UPXiDc9I8cit5vWkqa8QoodG6ScB6Km87wZ1CbpOXTwzld0jYgn+kf+VG/PlqgINUshetkRddBHcEiy0Wtm9J0zQddWzJSsd57EXR9UbaxCDpXMkDq3AwMDGDu3LlYt26dr+t37tyJc889Fx/60Iewfft2XH755fjc5z6HBx98kF9z9913Y/Xq1bj66qvx9NNPY+7cuViyZAn27dtH9TUiQ9bDOBxYUCxH9BmUUZLRm8HtQxLMERzK5mHbhELnoNGiLF1EgPNsvNfJ63Ojj9MVtG+LLKEz79viu1eRbA2JXumfoPdRRrDIxmRZQL1P+YGMVKzbnVgf5obUzVq2bBmWLVvm+/r169dj1qxZ+M53vgMAeO9734vHH38c3/3ud7FkyRIAwI033oiVK1dixYoV/G9++9vf4pZbbsFXvvIV8V9CAOQxJMVjDgJXS8lhlIKWoFIar+DCXfdRGcrmfTM+wceln4YECF8KTslWes/h8u+k0jtdQVOeQGH82XyOdFy8PF0zZjesbkpW/x2dBNjuYZ7+tS0yDkAN0tdJFrTS3GzevBmLFy8ueW3JkiXYvHkzACCTyWDbtm0l18RiMSxevJhfoyNkUfTDAfsycDYiQ5fnz+Zt5OygGxB9FVeQBn5AIUpitoSSUQqcOmCGi/pYiNCVI/SpRSD4BkSaOgihP5ApdA7cIFJb4a4+VUmAnIrKoHYLkPMsuqlFfdJS+owEQGdnJ6ZOnVry2tSpU9Hb24uhoSEcPnwY+Xy+7DUvv/xyxfdNp9NIp9P83729vWIHXgPuAXRyHsbATfwIN8ZhzwaU8lvFVSfDuXGrpfzAsgpC58FMXjNdhByK3t2A9KmWYmvLsuC7/FSGoQ/S+oBBRgqIa/ICpodzdqGM2I84OgxC66YI76HjOG7KU8O0VBjHmTTQCGhPZUAr5oYKa9euRUtLC//p6OiQ+vnSNDfsgErfuVj6yGzIswH56ScDuJvCsEZOROHaohaIVJjHGBKfFL2kk5tdPZe/e9gkgYkYzrhpWL8UvYwNKKiwH5AjdA7qdHmfDSltGfymiFP0wWI6Z4NJ64KnpWQwu8GZGymMs0lLlUd7ezu6urpKXuvq6kJzczMaGhowadIkxOPxste0t7dXfN81a9agp6eH/+zevZtk/JUguy23TtVSYTageqlpqeDRNXMiKeAeJ6CX0Hk4oJ5LRg8l15kPfg8p11bQZpqA3EDD7z2UJXQOmpbiwQ9hk0/v99WJUQrH3BSuTVNWCB5ppeBBsWjRImzcuLHktYceegiLFi0CACSTSSxYsKDkGtu2sXHjRn5NOaRSKTQ3N5f8yESDBMNl2w7SuYCCYgl9boIaVO+1UtJSASIgGYxSWF0EQOt0BT/aQwJDEjANC8g5UiDUmpeQOkiHcLp07DlVL9E+JBMxxGM+hbsy0j8h1paM+QpaCCEDpM5Nf38/tm/fju3btwMolHpv374du3btAlBgVJYvX86v//znP4833ngDV155JV5++WX8x3/8B+655x588Ytf5NesXr0aN998M2677Tbs2LEDl156KQYGBnj1lI6QIRb0bmxBS65JF30Yil6C0zUYYmOUwSgFFeaVdnSmGVc2byNfZIW0cm6K98GvlguQq7nxm8IDJAmdQ2mBZKQXw2luaDfrYAwqIKdCMAwr6NpTeqbriCkFf+qpp/ChD32I/3v16tUAgIsvvhi33nor9u7dyx0dAJg1axZ++9vf4otf/CK+973vYcaMGfjxj3/My8AB4IILLsD+/ftx1VVXobOzE/PmzcOGDRtGiYx1givcLbRXp2hP7aVo6xP6pA6CHJrJwK4dlmC8gtCo7FgLORGQv3Gxjs5DWTqhs/f7+t2wGyRogaIId0k360iCYvpxhXMGZaQXg2nyMrmC0+2XWQmCIKe683FJZCuDOM5ymBv9SsFJnZuzzjqr6lkp5boPn3XWWXjmmWeqvu+qVauwatWqqMOThpHt1VM+nY8gYAs3mYgh5vNhl8GQhIli6yVQ4UHz/IC+jFJjsuDcUAkG2T2MhahKomQigjatBOSkWUKNSyLTFSxdRit0zoXpVeS5bpio55Qr7Pc/V1JE9LnwaX7KYHEgYCGEDGiluRmrkNFePYz+QNeyWBmamygVLaSMUginq54bLxraOYwo3Nv9muowyKAi58K4JPSTCbG2jlSh87DnpGq/4/JWXVI9i6HsVpKe2Q3a7d17rZQWFhqlpYxzIwEyqg7CPYx6lsXKMfTBx8XSfbqNi9p4halKYmNyHHChu2gMhWAFXadLL12EjMMggzb5BLyOM21QBvhvFRGLWfxaqmcxjOPMGHnK4Ic5g4HsloRgkYnVg6wtahjnRhKo6fBQIkaJguJQNCqp0xXceHFBMZEwLwxFD7j3nKpaKmiLgZHXpqkYJe3TP5oKnQOkxalZVK/dCqJFpGZR+ZrXjCEJ8yzKZMJ1EhQb50YSqOnwSAyJjHLdINGiBOYmHWZjpDb0HoYj6LlEAJ0zGIYhqYvHkChqv6jmK4rjTOVwAe590DXlydInfkDOCobcFKkrgDhbGaArs4z+O2GCWHa/ZaytIGueGsa5kQTqqoNQToRns6ZqAKe75iaQoSem6EuOqghgVKlp5zDpDEBG1B+iLFZGyjMX4llMyNsYgxQ0sHFRpRbD3EOAfm2FqvJkVVx5G7k8bSo2lD3VrHCEGvqMZIyDuuogXA8LT9UBVUpD0z437L2DGHrqKNZb5hmIopeVOghY5Zcivo9hnC5d11Y98dqybcfVkWiUagmbzpDl0AdK4ZXYU32cQRmam7ABECWMcyMJ1CmgKN1HAUotUJjomp5GjSKupNcfBIxiyVMH4cSC/D4SOc7uBuTfjKU8+iTyKq4wThfR2kqHqEryXku95lNjYM1rW8Ulsc+N0dwcgaBurx4mAorFLE4j6hSZyYk0InT61KhCA6BPHQyFSGcAErRAYUSfdfRVXGGcLi4Kl5DyDKMjoddNBduKqFPEYRhny5JnT4NpbmifQ8dxQlVxUcM4N5JA3V49rKCLumLK7csQ3KBSOYKsmaL3s3yNi5hRCkvRSxN9aqa54Ws+SPpnRAM4CkRJl1Gvrbq4hYTPRoyAPKcrqN2Sx6Lq5XRFaVxJNVfZvBP4eBYZMM6NJLjVEETRdQgnAqB3JKJ0RZUSxQaJgIj1Gu5ZSXoZ+qEQTATg0dxQM10BnAhvzyny+dKIrYya8tQpzQLoqwWS5tBrtLa872vSUkcg6onPJXJLF8MZCbIqrgiRRjbvIEtQdVBK0etjJFxDH85B1cmJAOhLY8NG19SVSWHSi9RdpsMyu/XEDn34ainqJn7R5ovqPqZDrC1vYE1RFcvaasQs8MBBBxjnRhKoO32GacsN0Pf9iFKiDtDMV5hzuAB5VUmhhbvkDSL1imLDRv2UlUmO44Q6rZy6RD2snovaQQ3rdNGnf0Lq3zRkbrzfgUJn5mW5KA6FDgvj3EiCjnQlIK8xXRCGJJWIgT0jFOMKbeiJhXlhS66540xdlaTZfIVN41Guee/mEaaihZ10LRqhWS5NtS31xOmyMGJ1QM+mh97nluI+DoUMyqhhnBtJoBcMhtuwU8Tq/jCMkmVZXIA9TNCBNHJXVM0MKnXqwNt/JwhkiVGDR9eFcaVJHGevnivIBuTObZrASY265rUT0ZMHZeF0ZpTz5WUFgzyL8ZiFJOFZXCxYDFpNSQ3j3EgC+cnNUeldjZr4AbQ0va5RLHNQA+umJLFvulH0UVMtlIY+EbNQF6QqyXPPKZzU0CwX8UnXYfpzea+nOn4hTDodoF3zmbwN1popMKNEGACFnStqGOdGEqg7kLp6jYCRhqZVB5RGIqrDRSXMC30P+VwRG3qNnAhAzzLisOud+qTrsI4g9UnXYTdGHUuuC9fTsZVeFjtsAEQyrpBrnhrGuZEEaWehaNYALqrQmcLpinqeDUAzX1HLYnUVFGuX0iB06MN23AVoiw7CpDMACRqSImMc5Cw1QN+GmqSsYHGu4jErcFWSjkw4NfQazRgGuf4gF3ID0pS5oeyvEZVN8r6HSIQv15V0zIFGZbGO40QvBaesHAnIvgG0lUnpsM8hdbVU2PSPJLulk4iea98Swc6eA2h1eTqeCA4Y50YayKPYTLgFliLsF5HN28jxzpXh9C0UzQWHQwpk6YV5EdMsGrV8B2g3oEzehh1Wf0C4AfG1FUJcSRldh7UP3pOuSaq4QlRTeselWxWXDOYmjLaFsi9Q2GCRGsa5kQTdaVTKXCygV4l6NCNBGQHpR4UDelaXRdEfUGpuoqwtrrmhcLpCMrvUPaeipq0pxmTbDk87B68+pWO6wjqoAC0THjbNTw3j3EgC5aIHwvcaoNyA2Htall459aEo0bUEZ1C/FvlhK1oIWa4I+gPKcbHqnSjMDUkqNhOuy7T3uaW8j8G1QPRrq/A5+tjTKE4ErYbRMDdHNHSNrtmDQtGhmEXXYTpXkqYOmJEIw9xIEOaFrZbK5h3kCI+rCN/9Wi/9gRQHNQorSOlEBHS6YjHak67DshGUqVhvABo8XUaftg7jRJBWCJpS8CMblJt12JbvgBzmRruHMWQnYIBYmBeSUSpJHRCKZHXSRYhILZJWJQVkKgHaaik3/RNe6EzSXDBsIYQE+xD0eBaAOigLX5VEKQwfDrn3UEOv0YxhUFa0pHNucyedOhRHUdHT0rtRDD09HR406i9JHQi+jyVVSQHnq15DgSwgpxQ8mtNFsAGFdCK8f0PRMG8oE1JnRprCi+6g6lRNCRCL1U1a6sgG5UnXIoS7FE5XlEijUcIGpJ8uIpyRsCyLjI0oqUoK2UOJJloMrz+g1L9FWVsyUge6BRrpkBs2ZSo2ioNKyr4J0Nzo1FqDGsa5kQTKqgO26OviwVq+A7RRbJQD1WjV/XpWS0UyXkSRmdcB0Km5YBT9gQzRZ7iNkbBaKsLaktFcMErPKdGpWDFri/b07aCgTKeHPUKDGsa5kQTvSdeiI0YRGhKSjrshmQhAX3qXtIw4ivFK0DSJZO8XD3hWEiAntRhFf0C5tsLoDyhZ1CgbI5XjHKUPlteeit6wRQQZtNWUeqbLDHNzhMKyLA9NL3aBhT1NGqDu2xKdCidp4ieipFIzI0HVMC9sqsz7NzlbfCo2moNKeP6PACdCNzEq1XxFSaeT2lMRWkHt2ErK9gfh9x9KGOdGIqgioGh0pZ6dK5nYVycqHKDbgKIcJwDQOV1h+5AApeyFjhuQbmtLV1aQasNmQUaYPlgAvT3VjiER0cSPskFkiHtICb1GM8ZRT9SBNOy5MQBxPj1C/wPKCCitoRMR5TgBgG7DjmJQS1IHRFqgSCwXiUBWhLZFLwE2lY3wiq+D9ioCKJ2u6MEiCSsoouJNMztPCePcSEQ9UT42SqTh9rCwYQs+O0bbyhENo+soxwkA9ILiMHNVUsUluIxYCMtFUdqsqdBZTFsGfe6h9+/Er/noQRmFPeXdrzVbW0d0h+J169Zh5syZqK+vx8KFC7F169aK15511lmwLGvUz7nnnsuv+cxnPjPq90uXLpXxVSKBaoGJEMgC4kXFUSpHZFS0pMIYiSTNxhjlOAEASBGVXYc9EoKBLF0mwEGl6JwcpaGZjFSsTqmWqEJUOoc+fFDmtXWiheG8cWWotaVnlSclEtQfcPfdd2P16tVYv349Fi5ciJtuuglLlizBK6+8gilTpoy6/r777kMmk+H/PnjwIObOnYuPf/zjJdctXboUP/3pT/m/U6kU3ZcQBCp6Nwot6F2QQ9m8UGpRSNMpyhJ1jfQaXuFuKIqeaL6iRmXUa163KDYSK0gkkLVtB5mQB0EC7toS7QxG3RRdVlD02gp/PIvXIRrK5NGYFLfFDgtY87SOs17ODTlzc+ONN2LlypVYsWIFTjrpJKxfvx6NjY245ZZbyl4/YcIEtLe385+HHnoIjY2No5ybVCpVcl1bWxv1V4kMqg6kwxEMVzxmIRmnoXd1dCIAr5HQR3MTRbgL0FVDRCltBghTBxH0B5RVXJG0LVRMhIdB0EmvEXVTJB9XCOYmFrOQZG0ZRDPhEY4ckZLmP5I0N5lMBtu2bcPixYvdD4zFsHjxYmzevNnXe/zkJz/BJz/5STQ1NZW8vmnTJkyZMgUnnngiLr30Uhw8eLDie6TTafT29pb8qACdXiOqkSAq9Yxwng1p5UgUI0Fcch05itVIcwMQVrSEPOUaKHXUdNRrUFUlAdFK56lYwfAOPXHKM4TdAujuI3u/VBRNnuAxeVnBI6pa6sCBA8jn85g6dWrJ61OnTkVnZ2fNv9+6dSteeOEFfO5znyt5fenSpbj99tuxceNGfOtb38Kjjz6KZcuWIZ8vf+PWrl2LlpYW/tPR0RH+S0UA1QKLGgFRjytSyXXWhuOIE+bl8jay+WLjsDBGQlP9AZnTFTW6ThClNCKUn5Y21CRyUiOI6KmafCbjMcQDHgQJyHAi9LJbUVOx5IGGRueWeVlB3Zgbcs1NFPzkJz/BnDlzcPrpp5e8/slPfpL//5w5c3DqqafiuOOOw6ZNm3D22WePep81a9Zg9erV/N+9vb1KHBzeRVaw0CzyxsgV/vpsjCOFzqLyuV6qWKcTpaO2MOd6DdEiRl1FnxF0ZqyKazCTF1/FxVnBKCc368mQUInV9XMiBAWLZELn8Gsrk7eRy9tIBOw2XglexzKMQ08JUuZm0qRJiMfj6OrqKnm9q6sL7e3tVf92YGAAd911Fz772c/W/Jxjjz0WkyZNwmuvvVb296lUCs3NzSU/KkDVSEkcjapPpU090UnX3vcK1zhMP30SQFjFFblcl7a6TLcqrkipA+IxRd2sqViuMFWLwLtAC0Rm56NVcYmcLxYsJhMxxEKwgpQgdW6SySQWLFiAjRs38tds28bGjRuxaNGiqn977733Ip1O41Of+lTNz3n77bdx8OBBTJs2LfKYKUFN74b1nFNkRiK8XiMRj5EInb2bdZiqpBTxERphhbvkUWzY1IGmGzZFFZdtO7ydQpSDM4ezeaGp2HQEjRngrnnxQudoei66NF5EFpVIwxjF6fIGciLnK8rxLNQgVwCtXr0aN998M2677Tbs2LEDl156KQYGBrBixQoAwPLly7FmzZpRf/eTn/wE559/PiZOnFjyen9/P6644go8+eSTePPNN7Fx40acd955OP7447FkyRLqrxMJKaqHMWKHyAZyQXE0I0Hh3ERnSGg0JFEpep0qRwBKQy9mAxI5X94+UVGqpWynkD4QBV7aHPIeUjM32gqKNXsWozbUpHgWozK7lCDX3FxwwQXYv38/rrrqKnR2dmLevHnYsGEDFxnv2rULsVjpxLzyyit4/PHH8fvf/37U+8XjcTz33HO47bbb0N3djenTp+Occ87Btddeq32vGx2b+AH6jqu+Lo7e4Zzgh1FQbw3NHFS6Kq7wTARAqVHSTwtUchBkBF0EUOjoHCa1VW1curFvUR16vllrmuYXueYdxxFi54ezNolzoyNzI0VQvGrVKqxatars7zZt2jTqtRNPPLEiLdvQ0IAHH3xQ5PCkgaoXSdRyXaqOraJ0JCIfRlHi60zeRt52QlWflEM6Fy26phKrRz0Uj76KK+S4WHpRpJ6rOKa6uBVKsFlXrGbK2w6Gc3m0oE7ouMLeQ6pmeVFbWHD7QCSiD/0sEqz5UlYw/H08jKzQ/UfXBn6AOVtKKqidCN2Ym6hpKQqhs9seP9qYvO8lApFTi1TpMlH3ULfUAcHGGLXKBqDpkRK15JruDKeoqUVixznsfPHKRfF2CxChMxOvuTHOzREO6hLBsDRqisCJAKJ33aWohnCZm5Bz5a3i0igCIhMUR6xKou7dEn1jFGjoBVD0FGs+MhOh+z2kahAZ2nEW3/SQzX0iZqEuZBk3ydqKKAqnhHFuJIIs0hDV3VZgFJv1NMuLnFMnEcCFG1MsZnEHRydhHp2h18/pchxHmHZKrBMR/QBBmjUfUTflCcpEVnGJ63Mj1ulKaxhoiHCcKdjdqMwuJYxzIxFUEVDkShuSSCM6jUqzAYkzEjoZL7reGhGjWIJ7mI7YiBGgdZwjrS1CtjLqcwiUzn1URNVNkR1iq2G1VNR0OkCz5qPeQ0roN6IxDLoTpcV0txXZoZgtessK1ywPIHIiBOSIKbVA0cWV+jRiBNy+PWSOc1SRrEbsG0Cz5kWxgt73EoF05EII8Zt1Nm8jZzsl7x8UKUrmJqT0AKBe84a5OaKhu7hSLF3pGq4wzfIAGjaCbf7RUgd0KY2o0WImV6jiEjcuQakDAsc5bFUSQFPRIqJyhItRRYo+I97DeMziDTUHNZovSn2S9/2DwrXzBMFPhPYAtBpG49wc0aCrOoiW96ToUKyruDJq47DC3xIyShHTLAANAxc6dUDhOGejlc0DGmtuKOdLs5SGsDOcCByuKIwzSVAW0cYDeqY8KWGcG4mg2BRLaVR9hHkiy2KFjiuiPqnwtwSdk6P2k/Fs9DptjDo6goC+USzJ2hIYaFAwSlHTZSJTsWmP4xyWcWapI6FBRsQu0wDNPYyaWqSEcW4kws2n27AFpQ6GSmhUfdqYixCakeSIBWhuKDfssJFZLGYhmRC7MYrqigrotSkC7rjSIh1nTVlBkVogklRsxB5KIlOxQyIZEgLmJopDT6lhNNVSRzi8G4SoqgNmUGMWeF48+LiKkQaJAE6z0sWIBhWgFeaJqLQR5UiIrEoSWi0lhIkgZEg02xhFaoFE2oioOhKKhpqcFQzJoAIeQTFFejjCuCjSZWxcYVN4lNBvRGMY9SUns4pZYF4hamgalUJ/IOC0WMrUwVjURYh2ukRUJZGwXCLuIeG4opwJVU+wMYpIEdeTMDcRtYIk9lQAQ6Kp5oa0/YFhbo5sJOIxzq6IMhIiGBJKQbG+IsYIEVBCfDWEjvMloiqJp39y4lKxYgSy+qVZACptS3RdRL3glGeJVjCkM+htqCncnmqmTxJRLUUpPzCaGwPhdLiIaJFSF6FrQ7NoTfz0bIYlesMWUZVEkYoVubZItECabUBRO+4CpXpBEShhBaP0bhGsI9GRQS28l97pdFMtZSCcDhch6OIGYoynWQBPNYRG47JtBxkBZ7SIjhhFViUBIp0uPYW7XAsUYbOm7CIbaVwJsU6Xt+Q6rFbQOy7RTpduei4exApZ8yIZJVMtZVCE8EhDQGkzN6gEef5I4yLI8+vYf8c77zr1sYh68ClQ2gBOtC5CDHOjVyqWskNxJHY3KVZQnBagFfSOS7TTJarKU9RZXCLL+XWTH1DBODeSIbp1vwjhLvvbbN5BNi826o+kPyDo1josNAISS4UDUVNARSdCEAMnYm0B4iNZIT2UkuKjayHCXYoOxSKeRcHHaIjaFEUfYitSfG07QEaUPRXoOJOUqJuzpQxEnzsikq4ExI9Lt4dRrBZIrOFKJmKIxaJHsaIYOJe5ierciL2PItZWKiH2OQQEsYKaVuKJruISwUQA4m2EkHuY8NpTQW0ZBIrCSRh6Uy1lILoDqYiHsbSkUkfRp2bRtejNWhhDInpc0TdFwJPSEGRURYzLK5AVlzoQ4EQI3oDytsPZAyEOvSDGma3RKEEZQJCKFXAP6+IW4sUgRXSwGK0QQry2UpTtooBxbiSD6mGM4jlbliW+RwqnwqPnrnU6oBIQ315dFLUrWjAoLLoWnYoVojMTX8UlRAskmIkoPQhSQCpWGCsoRojKxiWq07QIJsKyLLd0XvB9jOIMiranjuMIOYiYCsa5kQzxeg2xugidIg3vmERF10LSZYIZEuFOhEbiSkB8KlbIMQcetlL0fRThRIh2uAAxJeqion73AFvN1ryocQlOEevYfyebd/ixF8a5MRDOkOhqJNxIQx9hXjbvnkETKY1H5kTo5aCKc7oEC4oZcxMhuk7EY6iLW0LHpaPjLErPJbqiMi2AfQMoejuJZVHFOc5iG1eKCBa9c27SUgYewaA+Knrv3+skzCs5O0bAfHkfRhH0rk6NwwC64xdErS3x5//oNS4xG5BYJ0JUHxIqnVl0J0I/xhkgTBEL6GcGiGEGWVuAmAUeKOgE49xIBi/11KzqQHQEJKLle108hkRMXHTN5sqyoh30Jrq7rWiDqhMTARA6gxErNKjmS8TxCzqlygp/T8WQ6Mk467fmozv0olOxXrsVpVcRFYxzIxm8v4ZohiSCcLfw94IjDQG9NQCxRpWxP7o1DhMvKNaHifD+vU4Vgt6/F7Hm854u0yJObhZ1FpdoPZc4h15sJZ6w3k7CmC4iRimCnfemYkUE1yKceUoY50Yy6gX31xCXOhBbASQ6XSZivoT1bSG6h1GNBFX/HV0pep1SGmnBXaYL7ykuFavTc+h9H93WlvA0v2gNo6BUrIjgms151DFRwTg3kiG6vbpwQbFGmhtAbCdZYf1kPGMSIswTdA+pNiBRToRoQy+OjRC3toCoXabdvxWTihXFkFB1AtY1XabPuBzHEdLyAxCbxhOlm6KCnqMaw6A6uTmqoRderivISIgsQRXRK8I7JscRE13rvgGJMqhjOV3G+n1ErUoSfRaXsHJ+wQdn6t/+QJ80ntfGiAuARNgtk5Yy8ICKRhVnJPRR9wOCIw3BVDggpnkYN6hRKWe2AYkuP404LuHtD4SnWgTcQ17BFd2kpgQyXaKPORBtt6K0igDEa1tEHHPg/XvxrKCgYFGjtUUF49xIhq7qfpGpg2zeRjYfvZ8M4GWU9GFIqKq4oorC60U3DmMbtiBRuHhdhD6t+0VGsSQbkEbCfkAc46yv4yyefauLW0jExdgIIZobQRpGKhjnRjJ0VNEDrpFICzSogF6lniIjDZHjYmJUUQyJ6GMOokaLIg2q7alKElXRInLNizD0QkX0glhBNtcZQVVcwpwI0VWeothdkU6EyLUl8OwyZmeMoNgAgL6N1ijSP1H7yYgelygdECBWoyRaUCxiswY8AuyoUb9Ag+p9D1FlxCIrR0Q6zmLSZWJ6ApU01BRxH0WxlQK1QAXhriBBscBxiXIEAdFr3mhusG7dOsycORP19fVYuHAhtm7dWvHaW2+9FZZllfzU19eXXOM4Dq666ipMmzYNDQ0NWLx4MV599VXqryEE9YJ7pIiqABK5WYvqJwOI7WMh1kiI1EWI3YBEra20oEPxKJwIIPq4RIpkRa4tktRBxOg6JbgBnDBGSeBcZfI2GCkVVQskUqNE4zgLXPMCdGYUIB/V3XffjdWrV+Pqq6/G008/jblz52LJkiXYt29fxb9pbm7G3r17+c9bb71V8vvrr78e3//+97F+/Xps2bIFTU1NWLJkCYaHh6m/TmS4PVJE0ahiW/eLEBSLzMVS5K6FODciq7hEpX+Kc5WzHWQFnMUlrHReYF8g71lJ8QhVSYDoDUgcKyg2dSCGIYnFLO7gDIusEBTk0Ivoz+VdBzppgUSuLaFVXEc6c3PjjTdi5cqVWLFiBU466SSsX78ejY2NuOWWWyr+jWVZaG9v5z9Tp07lv3McBzfddBO++tWv4rzzzsOpp56K22+/HXv27MH9999P/XUiQyQTkbcdfqCkTmfHiNoUAcHlugIjIK6LELgBiUpLAXo5gyROhIBokSJ1ICS6FshGiNJzAYJthKgKQVYIIWKuimMScVaSyKBMpFZQ5KG/w4KYXSqQOjeZTAbbtm3D4sWL3Q+MxbB48WJs3ry54t/19/fjmGOOQUdHB8477zy8+OKL/Hc7d+5EZ2dnyXu2tLRg4cKFFd8znU6jt7e35EcVKDQkgICS66S4DsWiqlkAfTU3rqEXwXQJ6lWUiIFlAXWaL5GVeKJ0QIX3ECcoTotMS/Hz5wSyb2O0istrH6I21PQ681HT6SKDMlFl8wBRE78jMS114MAB5PP5EuYFAKZOnYrOzs6yf3PiiSfilltuwa9+9Sv87Gc/g23bOOOMM/D2228DAP+7IO+5du1atLS08J+Ojo6oXy00RKYOSk65FiXcFXmgmq4GVTMjIWpjtCyLb4xR++/YtsM1N+Ja5AtkIjRjBSmYGzGNK4sVLZqliEU5zux72Q54+4nwYyJgdjVjnEU2+uT38EhNSwXFokWLsHz5csybNw8f/OAHcd9992Hy5Mn4z//8z9DvuWbNGvT09PCf3bt3CxxxMIhMHXjbX0eNNLigWETumiItJTBdJuJhpNECCWC6BAnWRXZFFRst6r0B6eZEiHS6xHa3FdvnBoi+vkSWXIvUMIq0DxT6NxEpTwqQOjeTJk1CPB5HV1dXyetdXV1ob2/39R51dXWYP38+XnvtNQDgfxfkPVOpFJqbm0t+VEFk6oCEidCsKklkHwueIxbwMNIIBkWkNMRsjN61Ka5EXZzmRjuKnsCJ0Cm1WHgP/arL6uIWF5aLWvNRj2cBBLOVmuq5RJ13RQVS5yaZTGLBggXYuHEjf822bWzcuBGLFi3y9R75fB7PP/88pk2bBgCYNWsW2tvbS96zt7cXW7Zs8f2eKiEydUBDo+rTCRigyRGL0WsQMEoalREzo5yMC6hKYg3g8jZyglKxDUI3IIHHL2g2LooAKOqGnc3byBdrrsWkYsU49DrOFSDWbolcW26KWLsEEAAgQf0Bq1evxsUXX4zTTjsNp59+Om666SYMDAxgxYoVAIDly5fjqKOOwtq1awEA11xzDf76r/8axx9/PLq7u/Htb38bb731Fj73uc8BKCzmyy+/HP/+7/+OE044AbNmzcLXvvY1TJ8+Heeffz711xGChmQcQ9l85A2bRz+aaVuE6g8oOgGLaOLHRZ/iqg6EGC9BFUBCqfCSBnA2xkVoIU9Szi9wbem25kUGGqKE4aWsoJhU7EAmuj0VGpSJ7INVXFsiOgELZd+4oFhP5obcubnggguwf/9+XHXVVejs7MS8efOwYcMGLgjetWsXYjF3gR8+fBgrV65EZ2cn2trasGDBAvzpT3/CSSedxK+58sorMTAwgEsuuQTd3d0488wzsWHDhlHN/nSF6NSBmDJP/Q7rA8QK4ESWqLvMTXThboany8RpbqJGZiJTZV6x+3A2j3Gp8GZHJEUvVNsikn3TtbdTkjHOYhiSmAV+AnoUiNLlCe1gLlLbkhEX/Ah1nFmwqGlaity5AYBVq1Zh1apVZX+3adOmkn9/97vfxXe/+92q72dZFq655hpcc801ooYoFaJTB6KrkhzHiSRQFkqjCjQSPALSKLoWeZwAII6NELm2WAO4dM6OvOaF6rkoGBJNWVSRYtTIa15gB3NAXKpFbFDmjsm2HcQipHZFdZkujEtc+wPdmRs9k2VjHMI2RpFRbNItqcwI0kUI1ZBoxtyIOnRR5HEChfcQpT8QJ74GPFF/xDSe2DQLgYheAPsmtNEagY2IylaKPk1atEMvpuLNfY90xH5FvPo0YpdpQGzjyiNaUGxQHqIiDaFUuGcTizwukiqusSl0FincBcSxESLL5gFx95Gkn4yQ4wRoWNSooChvjqozE2m3AHHzNSTQoa8fkYqNAqHH2QgMFnUXFOs5qjEOcQ+juMUlsqRS1Im/gL5N/IQ5EQLLTwFx4xJ13hWDqOMqKM5wyuTc6p3I4xIq+ozmdOXyNm9sJ5Kt1EnbArjPjjAmXIDdSsRj/AgHYYGGZsGiSUsZjIIo8a7IUnBvSaU44yWydFEz/YFobYvwKFYMKyiKchYt+hTJ3ADi0mUimZvIKU+BjRgBcYdUiuxgDojXv4narMXZCPGp2Khry3EcoVWeFDDOjQKIWvTCjURSTHRNEWlEPa7CcRyi4xfE9CoSRtEn9XS6hGuBBKdi9RI6i2UigOjHswAiHVQaPVdkQTFRukwUu6tTm4Fs3nF7FRnmxoBBR0ExIM54Ce3W6qGIo8xXJm+DZR6EVEsJOv9HNEUvrqGZYKdLQy1QLGYhyeYrquhTQ1aQzVUqEYtUrTN6XIKqkkSxgoIqKkULZEXPl8iDiKMGiyVVngLSeBTQc1RjHKIFxSI2a0DguASmy5LxGJhdjuJIeL+T0B4pgjQkwhxUQW0GRDIR3vcRJq4UpAUSdewIhdA56ph4Y0HRqUVRVUmCmZvIjFLOdQZFQHhbBsHBYpRxsb+1BPUqooCeoxrj0DV1IOxhFKjXsCxLiNPlbRzGhH5RIJqiF+agiupFIphR0lcLJIbpShPoIqKySUw0Kiz9o2k6XTTTJc6hF6NhFBloJONizjYc9qwtEb2KKGCcGwUQn/4RVdEitr26TikNr8hZxMMoOp8uXnOjT8k1IL6iRacNO287vDeUSF1E1CquYeHMjegeSnrZLS6QFc1WatTbybIsd81HqJgSvbYoYJwbBRBnJPSMgITrSAQ4EuxvGwXPVfTDT2kcVF01N2NRF+H9TiIFxUC0yiSv5kYEhAtkdauWIgo0xDE3gllUAWtLlINKAX1HNoaha9QvuneLsHSZACPB0z+CI/6oJ10LN6ga5vm976PTgZ6F9xHnOAOCqpIEVXGJDn5SAhxBwC1DFm23RAUa4sT90dOL3rPndCoc4XNlmBsDL3TsfwCI00WIZ5SisxGitRre94livESnWUSLPkU7EeI2IMG6CAFrS1RVkqgqLuFBhqZBma7VpyIqKkWfPVd4n+hrfjgnVs9FAePcKIBwcaVGUX9WcFdUUeMaFtwqfORJ12FBl2bRbAMSTNHrtLZEVyUBYqq4RIqcAfGFEMIcZ2EHEQsW9wsIykSfPQeIuY+u+FpfF0LfkY1hiI6udWJIROsPvO8TTd0vdlMsVHFFr4YQffyCaPZN1D1McSZCn6ok7/tEM/Tio1ghbKWmjRhFnuFUeB8xa0vnlKeos+cAMX2BKBx60TDOjQKIMxKCUxoCIiA2JsvSS8go+iRiQBCjRNWIUdAGpJNuSnRVkvd9RLCCFMyNiLUl2nHO5h0hOjPRKWKdjvYABAVlgh0uwDNfIpgbk5Yy8EJ4jlhQh0gRPVLSnqhMVP8DEcaLR9cCnRsxxkvTqiTRPT8ErC0KVpClIKIcJCi6KgkQG/WL3qwBMToz0Q5qOmJfIOFpPAEsqmitICC2QtAIig1KIKp1v449UkSXeQLuxhjFeImeK0CM8XIFxaL0B65Y0HFE9EgRFPUnowuKRVclAWLKYkUzEYCoDUjsZi1KZyZaryGi+sfLCuoUaKQJGGch1VJGUGxQDiI6kNq244pRNXoYRYucAVGl4GxcekXXVL2KHAfcWIeBy0boU6EhuioJcJ03EalYCs2NkLWlmc5MdIpY5HMI6KVRotBzNQh8Fo2g2KAEQiohcuJV9CJFjCIXvdjcNcEGpJGh9xrmSB1INWwQSSFidFnB6KlYXTU3QvUaddHnS/QxByKqf0SfoA4ItlsEaysdZVw5sY4zBYxzowDeVvRhUwe6ViVRpKVEHr9AwSiJ6SIrZlx1nqoKEVognXqkkESxAkX0IteWkCouEoc+ukZJ9NpiKd10zoYd8rgKXpUkkBUUkf4RfcQO4CkcEVB9KnJtiYZxbhTA+1CH1ZF4H0ZhJYIallwDYhklUT0sADEMnOg+N0D0qJ9CfyBEQ0LA3Ijouiu6KgkQzdxoGmiQNNQMNy7RDpf3vXRqxAiIEveLt1uiYZwbBSipOgi5wCgWvRCBLEXJtRDaWbzxSokw9Gy+NKq0KWUFRfff0SedAQhilAicCCFVXIIFxYDXGRTgdAnrc+O1p+HmiyKFxx36SI0Y6expJPYtJ75CUDT0HdkYRl08hkSRbQn7MFIIusR0riQsudaM3hXiDBJs2FGZrhLnRqNjIWg2IBHCXcqoXy8WNaoY1XEc1xkUVInnPa4iqkMv1omI3lyQNIjVSDdFAePcKELUiDFNIOgS0bmS8mGM1n9Hz6ifUdY6aZR4Ck9kVVJxTHnbQTZkFRdFVZIQcSWJ5kacWF1UOT8QXQuUydtgshiSZzHkfFE4qEKCsozYIyEAT/AjoBTcCIoNRiFqN2AKhqQhKSKKpRNXDunWf0fgcRViy4jZhh2NoherbXFNTWiHniDPL0RET9BoTceqJCB6etHLctKk1KMxN2KdCAEpPIogVtPqU9Ewzo0i8I0xpPGi2KxTIpgbSkMvIHUgqioJiG5QSyh6gnRZeIqeQJ+UiIE1rNZJZyZS6CxSfyCyiktoyjNio0927+MxC3Vx8enFqGtLpPZNbIdiPcXqIsclGvqObIyDL7CwzA0FRe8xXFFLKnVjlEjamEfcgDJ5G6wTgMg+FqmIKQ2Ke2hZlmfNR0xLUaR/NFtbYqq4CFItESttKJhdQJyInoIVzORt5EPaU0pmNwoTTjEu0TDOjSLo/DAC4UvUKasOhDTLE1mVFNnQexoxUjBKYVlBIrFgvaBx6RbF6qozo+ntJIghEdzZNioDR3GcQElDTY3svJDCEYI0nmgY50YRIj+MJP0Pop8dQ5k6ENJ/h8RIRLuHMQuoi4sR7nrHFZW5EVlZVni/iKLPnPhoUWR3W117OwllugQ59KId58ipWILqU2+aMqq4XyfdVOFvjaDYoAIiV7QQRNeJeAzJuJiSShrNja4HZ0an6EWdoA4g8kGjVGLBVNQSdYrUYnGusnkHuZBVXBQbdtS1lfWkQki6ckdsYSF6U4zqpFLYrVjM4g5OVAG2bqlYCoZeNPQd2RiHMAGc4MUVdQOirNDI5O3IGxBJua5GURkQnbmh0kWIKlGnaGgGhO8kS3nMQeg+WN5eRQSl4FHXlviUZ0QngovC9XK6SJlwEQcRH+kditetW4eZM2eivr4eCxcuxNatWytee/PNN+MDH/gA2tra0NbWhsWLF4+6/jOf+Qwsyyr5Wbp0KfXXEApRJZW6bkAU0SIQbgPyViWJbJEftdSTiqJPRXW6mIMq2HBFnS+SjrsiUrEUjJKgNItlgbOxWoyLWlCsUWsNwNs7LGpbBorDT8MVjuTyNrL5wt8d0YLiu+++G6tXr8bVV1+Np59+GnPnzsWSJUuwb9++stdv2rQJF154IR555BFs3rwZHR0dOOecc/DOO++UXLd06VLs3buX//z85z+n/ipCISy61nQDEl1GzN8/xHx50zM6iT6pqN3IjjOBuBKIXhpLsTFalhW5YV46J/4+Ru8y7T6HQlOeghhnkUEGIGBtEZ1yze18VBtBUC0FhEtdewPMI7rPzY033oiVK1dixYoVOOmkk7B+/Xo0NjbilltuKXv9HXfcgX/6p3/CvHnzMHv2bPz4xz+GbdvYuHFjyXWpVArt7e38p62tjfqrCAXvKaNZRUtkI0EQxXo3oDBGleIEde97RS7n1419I6hKAqKn8ah6a0R26EmOOdCPQfW+n049lABxjJLwNH8imuPsHlVB49yEmS/vc3LEni2VyWSwbds2LF682P3AWAyLFy/G5s2bfb3H4OAgstksJkyYUPL6pk2bMGXKFJx44om49NJLcfDgwYrvkU6n0dvbW/KjGlEPL6M4oBKI3rtlmCCKBaKxEcygJgQ3DuP59JBajTQxRR+5QzFVKbhGToT3/cI49N6UJ01zQb0c56hri9qhjyooptK/hV/z4p3BuOcsrijBosjjWShA6twcOHAA+XweU6dOLXl96tSp6Ozs9PUeX/7ylzF9+vQSB2np0qW4/fbbsXHjRnzrW9/Co48+imXLliGfL3+j1q5di5aWFv7T0dER/ksJQtSSSmboG0Wnpdii15RRCjNf5FFsxPNsdJorQF9BMRd9ahT1Z/OOe1YSQYVg2Cou6pSndmsrcrWUnhpGijPxgGjjejeIiQEgoXoA1XDdddfhrrvuwqZNm1BfX89f/+QnP8n/f86cOTj11FNx3HHHYdOmTTj77LNHvc+aNWuwevVq/u/e3l7lDg6j1sMeKUC2YQvrkaIPo0Rxbkzh/dw0i+M4gbUN2la8Ec1X5AogIuYmCktSUpVEpIsYztkYF5BxpDieBRBQzk+d/ok4LtFaIFFMl/g1H0PPUFh7SqPJEw1S5mbSpEmIx+Po6uoqeb2rqwvt7e1V//aGG27Addddh9///vc49dRTq1577LHHYtKkSXjttdfK/j6VSqG5ubnkRzV07HMDeNT9EXukCBc6RxiXa+hpolggpDBPw6is8HdEUaym0XUULVDpWUniKPqoVVy8KR2RKFy3SjxRQZlOz2I2byNXpAWpGLgwB7NSBWWiQTq6ZDKJBQsWlIiBmTh40aJFFf/u+uuvx7XXXosNGzbgtNNOq/k5b7/9Ng4ePIhp06YJGbcMpCJEiwBdZMY3oBBGIuspEdSJUaI6B6Ukuo6gBaLSRWhXiRexoRnZmo+k53Ija5FVSd4GcKHWfI7YPuhWlVQXNSijcZyjtGWgKoTwvl8Yzee74URwQEK11OrVq3HzzTfjtttuw44dO3DppZdiYGAAK1asAAAsX74ca9as4dd/61vfwte+9jXccsstmDlzJjo7O9HZ2Yn+/n4AQH9/P6644go8+eSTePPNN7Fx40acd955OP7447FkyRLqryMMulZDiIhiC++j4QYk2NDXxWM8Wo+iBRIelbEushqdDwYIEKsTOalR1hZlFOvexxDjIu/bEk0gS3ZuWdhyfg2FzmxtWZb4qqQoOjOqoEw0yDU3F1xwAfbv34+rrroKnZ2dmDdvHjZs2MBFxrt27UIs5t64H/7wh8hkMvj7v//7kve5+uqr8fWvfx3xeBzPPfccbrvtNnR3d2P69Ok455xzcO211yKVSlF/HWFwnZuIJdca6Q/Yotf2YSTIEdcn4sjmc6EiWapqqahCZzJtSwQRvbcqSWTHXSCaFogqPQyw+cqGiq7Ju19HFIXTMTdR01L62K20x26JZAUBPQs0REOKoHjVqlVYtWpV2d9t2rSp5N9vvvlm1fdqaGjAgw8+KGhk6uAKzaJS9PpUQ3gja9EPY5RGa1R5fvaefelctHQZEfsW3dDrk9JI52w4xaoknXqkUB4g6LYaiJIuE7xZFx3UvO0gm7cDt1agOKCy8H6CUrFETlcYQTFVGtb7nlGY8CNac2NQGcwp0emcHe/7hYpiKR/GCJEZnyuChlMiIiBtNTdUTpdmKU8R4yJhbiLcR7J76Amm9FrzUauliNoyREjFUjGogL5rXiSMc6MIrENxmEVv2w55X4ZQOeIMoRMRQehM2ZeBGYkwDBy1oDjs2THU/Xd0asToHZduFH2UDYgqXZaMx8BIWZ02xiisINXZc4Cbno/CvokeE6Cn4ywaxrlRhCi0YMlZScLPloqQ/pHA3ERNl4mGGOZGrxJ1qvsYJf1D60REd5wpUp6R1jxRB3PLslwnNZQWSL+gjOrsOSAic0O45qN05WZ/I7oPlmgY50YRoiwuqsZhgMfQR0j/UDg3qUjOTdGgkjA3+jldos6O0UmsTqmbihL1uxsQXXQdSq+RoV/zYWxEWkPH2Tu/VNVlOj2HgL6BhkgY50YR2OLK5G3kA6YOOIVKcLZHpH4yhDliEc4gJb0brlqKZgOKxywk4+FSGpQUfaRokejMMiBad1vKaikxbCWhziwCG0Hl0DOhc5gxxSlSnsnwDiplybWI1hpGUGxQFl4HIOgCc09tpio/DdcMa5CPS3wRXoOA/juUTpdOaSnvewYdl7ZVSZSOs4DKEYpxRTnqgFJnJmZcNCfOA8HXl/72Qc81bwTFBmXh7QOj1cMYQbhLSdGLGZde8yWj0iao8aKk6EU0NCOh6COlDuija+02RgHjSglmbpLxGBiJHfRZJGUFhYjCCQXFmrU/EAnj3CiCt716YOZGQoWGbgyJkGZYmlW0UIk+gfCRGZvfurh4it67thwnZCqWcK6i9CKhdVDHxrgcx1PlKZhRKhE6BxwXcyJEO1yAGFE4qZ2PFJTp7T7oPboxjtAbEGVXVAGiT1IRo25Rf5QolrWiJ+qc7P0M32MirCxjYmDHKWjNgoC0WZ6m4koRpfM6jctblUTaFygwEy5BfB0lFUvaNyyKhtEwNwYVEHUD0q36Rw4VHv6gNwpBcZSNMU0YAdWHdJxllDYDwcuIKZ0IHTUkgJjoWicb4f0eFELn8M4N3XMoohCCVFCsWXNBkTDOjUKEba8uQwAXhqJnguJGzdqFS+mREsF4NWokwKacq7p4DPGiMCLwmpcQxeqaig3VloE31NQnFcu+R13cQkJwyhMIbyMo+2DpekCliBYWFHZeJIxzoxBhu0TKKD8NU6IupeogytlSGlH02byNXHF+aZ2ucE4EVT497H2kjK5FHJxJQdFH6iLL9BoEjFJYZ5DyOSy8b0SHntBxjlKirpN9ADxVsYa5MaiEsBGQjLQUEH5cpMLdMI3DcoQ59ZB9gQa9FD3hBhQ2uqYyXGHvoxSKXldtSxhdhBRdnj6btfd9gx6FQsk4RzmLizRdFuF0d8r9RySMc6MQoSMgwpLrKCXqMgTFkZgbEuFuuM2aGS5vwz2h4wodXdNR4d73DcxW6ioKlxFdB5wr23a4Q69TJR5lmsX7vjq11ohyFhdtylPPHkoiYZwbhQhLDVIKurwl6jptQDwqC3EYJClFH5K58d5DyxLbZRqIHl0fSRtQlNQBZa8itl6DOs6UZyUBHodeo3sIeB3ncKXgFJt1lLO4ZKTLwqRiOdNVJ14rKBLGuVGIqH0ZKCpaAE/fj6CpAwmCYiBESkNCH4ughn6QWH8QnRWkTh2EKwWnmK+UiO62FNVSiZCOs+c7kKSlQjr01P1RQj+LfM3TbNZRS9Sp++8E6TnlPZ6FIp0uEnqPbowjdOpA0gYUukcKSbTovmcQo+ql6Gn7WISbK6qKg7C0M9XBhgyhRZ+EDn0qET51QLrmQ1ZTsjElPdVpQscV8ogWalYwqtCZwkEFwjtdlIxSqoSt9O/cUB7PIhrGuVGIsH0sqJ2bsCWolOOKxSwkub7Fv1HVt3GYHAdVpwaR3vfVqSu3ZVnuhh0ypUHp0AcNMsgZktDMDbXmRtd0WTiHXkYqFgg2Lu89N86NQUU0hHQiqAVdYUWflL1IgHBlxF5DR3pCcti0lGb3kPIwTyB6uox6ww78LOYIq6X4sRD6RPyAgCpPKicipNCZ8sBfIEJbBsI1Xxe3OKsXZH15WUGKXkUioffoxjjCHrqoa78IlrumSrWEYSOoH8aohr6R3NDrc8wBED6Nl5bEdAVxBvO2gwylcxORFaRO/2jbQ0kzpys0i0rMVoaZr0Fix1kkjHOjELr3i9AtpRGmNwPl0QveMYU19GTRdSKktkXXtUU8rjBHMHivpdFzFcaUC1jFJctBDS++1rVaisZG6Fu5GNxGUKfwRMI4NwoRXlAsK7oOKdyl2oBClKBSNugC3O+azTvIBdiABjO5wt8TV7yFp8KJDWrYdBl1yjMEKwiU9ocShbANNWWV8+skvgbCp/ldx1mfainvCer09zGI3TLMjYEPhBaaSdK2BFn0XoNCvWEH2Rhlia+BYEJnagc1dOqA2IkIf6An3QnqQDhD79VEUPQqKq3iCrK25KR/wqY8yQXFYXtOUVcIBhhXSa8ijTSM1PZUJIxzoxBRKXqdGq2VnvirT3RNLRYs6eiskZHQNeXJK4C0dej1oehLqrg0Gldk5obYQdU2FRuAUaI+QR0Idx+HiBlnkTDOjULoqj8II5Id9IgFYwS9NYCQgmLitFRJB9IQRoKuz01IQ098KF5DSKGzrDUfzKGnZSIK7x1eC0Qe8QdeW7RrPqpWkGxcIQpHqE9QB6IVaOh+IjhgnBulCC3Mk1VyrVG0CIRjI4ayxUhDwgYURq+hk1gQcFNrVCmNMK37vSeok40rDHNDfMio973DsKh0DIl7D4N0t6XWa7j2VDfhLmNuAtgt4nsIeDpNa+bQi4JxbhRC29RBXfBIQ0YuNowzKEMAFyYCoh5X1HJdeuYmXFWSjqlYWuYmuC6Ca1uIdVO2A2QCiOipo359+wIFv4cy7FaYikpeCGGcG4NqCCOQ9Uax9JU2ISINSiciGVyYR005A+HO2hmWZOhD6yI0Spexay2LpioJCCeSpTzYkCFU1C9JNwWEsxHUaakgayuXt7mDRtZzKgKzS2m3wth5arslEsa5UQi26IMcUOl9QHTqYzEogbnRUXMDhBPJkjdiLI4paIm6LNFnIOYm41ZKUVQlFcYVXttClSrzvncYx5lqXN7utuF0efo4EcMSq5LCMbt0J29HGZdJSxlURajjBIrXxmMW6uIaGXoZTkQEp4vyYQwTAQ1KSv8A4XL99NF1gLnK0gpRgYgbEFF/FMCTagkQAA1y4S7NuApVXCFYVB7163PMAZsrSlYwSlWSFHsa6h4a5wYAsG7dOsycORP19fVYuHAhtm7dWvX6e++9F7Nnz0Z9fT3mzJmDBx54oOT3juPgqquuwrRp09DQ0IDFixfj1VdfpfwKJPBu1n6FeV7KmSqKjdLQTIb+QDfmJkoZMdW4wpSoO47j2Rj1YW6k6A9CpBapG0QCHlYwjF5DhkMfyumiZkhs2LY/e8pYQRn2NEzKU4Zzo1ObAZEgd27uvvturF69GldffTWefvppzJ07F0uWLMG+ffvKXv+nP/0JF154IT772c/imWeewfnnn4/zzz8fL7zwAr/m+uuvx/e//32sX78eW7ZsQVNTE5YsWYLh4WHqryMUbHHZDnwfOy/DidC1uVOoqJ84igWi5dRJe6QEZODSORtsT9CJopeZWgzGckmIrkNop2TMVyqK00XsOAOlTfCqQftCCM0q8UyHYg9uvPFGrFy5EitWrMBJJ52E9evXo7GxEbfcckvZ67/3ve9h6dKluOKKK/De974X1157Ld73vvfh//7f/wugEF3edNNN+OpXv4rzzjsPp556Km6//Xbs2bMH999/P/XXEYowx85Tn4NSeO/CuAaDODcyqpJCdSim7QQMRGMjKAXYQcflvd90qYMwFRoS9AcRmBvaipYwDr28Z1EnMWqY4ypY8KNbryIpDn2o3k7GuQEAZDIZbNu2DYsXL3Y/MBbD4sWLsXnz5rJ/s3nz5pLrAWDJkiX8+p07d6Kzs7PkmpaWFixcuLDie+qKMMI86iZrgLuxhVn0Mh5G3TpqRukLJCdd5m8DYoY+mYjxdSkaUXQRVNUsQDhxv4y0FAtiAs0XsbYFCM7AZfM2Z6epbFc8ZiEZsLxZSlWShp3VC+9d1HOFqRB8F6Sl6GYOwIEDB5DP5zF16tSS16dOnYqXX3657N90dnaWvb6zs5P/nr1W6ZqRSKfTSKfT/N+9vb3BvggRLMtCY10cfemcb5ZExuJq5MxNzvffyEyX6XRwJhCyL5CGtLMUfZIn4nccx5fOQaZuKlybAcKUZ4jjF+SIUYM5XV77Rt27JZOzfa956m7OQDj7ICMtFaW3kxEUa4K1a9eipaWF/3R0dKgeEkdjqrBIBtL+HAkZpXjcuUnroyEBovVIkSOu9BcBOY7jls5T6iJCpqVoGZLguggZaZZUmOha5trSTBcR9Flkm2I8ZiFJdJwAEHy+ZNjToPYBkOOgRtFWHvGl4JMmTUI8HkdXV1fJ611dXWhvby/7N+3t7VWvZ/8N8p5r1qxBT08P/9m9e3eo70MBFvX5Zm4keM58TAGquGSo6KO0oqcVFAczEumcDTattPMVjKKX2RUV8D9fMlMH+jEkekbXQbure1OLVFVJQPD7qCsrqKODCsixp6JA6twkk0ksWLAAGzdu5K/Zto2NGzdi0aJFZf9m0aJFJdcDwEMPPcSvnzVrFtrb20uu6e3txZYtWyq+ZyqVQnNzc8mPLgiaAuJGIkW3uBiblLcd3+3VZQqKQ9G7hALsoMI8r5HTSeg8lKWvLEvEY7w/k98yYjkVb8EFsjI3oDDjaqTsvxOUuZHAVALeQMPffMkIylIshZfzHywO6urQG82Ni9WrV+Piiy/GaaedhtNPPx033XQTBgYGsGLFCgDA8uXLcdRRR2Ht2rUAgC984Qv44Ac/iO985zs499xzcdddd+Gpp57Cj370IwAFncrll1+Of//3f8cJJ5yAWbNm4Wtf+xqmT5+O888/n/rrCIfr3PhbYAMSUgfe9x5M53nZZzVINfQB6F0pjdYCOxGF65LxGNmJv2HGJavMs74ujmw+5zuS1f18MBnCXb9OhG07ko6FCKa5kVVlE7ZCUAbj7DgF1tZPSkdGU9RQYnUJwaIokDs3F1xwAfbv34+rrroKnZ2dmDdvHjZs2MAFwbt27UIs5k7UGWecgTvvvBNf/epX8X/+z//BCSecgPvvvx+nnHIKv+bKK6/EwMAALrnkEnR3d+PMM8/Ehg0bUF9fT/11hCNsWqqJkLlJxGNIFoV5g9k82vyMS2ZaSqMznIDwzg1l234geGM6GeJroLAB9Q3nggudtU150m9Afu+hlw3Tac3LcCK8768TozSyRN2PcyOjWioV5tiYLP24REHKCFetWoVVq1aV/d2mTZtGvfbxj38cH//4xyu+n2VZuOaaa3DNNdeIGqIyBE1LDUgobQYK48rkbAz6FDrLoHdHdnSulbv3dtzVKXctLYoN2JhOViWEjoxSfdJNLfqt4mLHQtAySiz4CVZwUPhbCWteO8c5IKMkwW7VxWNIxCzkbMe/RikrwaEP2KsobzvI5Oj7homC/tzSGEdo5obauakLli6T0ZTOu4n4qbSR0XEXCK6LoD5jhyFo1C8jhQcET8XKSP80Fd/bcQLcRwkbdlMq2Fy5B7LGECPqVVR4/6AMCb1uCgheLSU7XeY/AJJYLRXQEQRMKbiBD7hl136ZGzm0IBMsB3e6KHt+uMvVj/HybuoyIiDf1T+STtYN2iNFhkH1vr//3k7yDD3gsqO1IEO4q6MjWHj/oJt1MeKXxFZqx6LqyFYWx5TJ2cj7OIvLa9+oDhkVCf1HOMbRGDgyKxhecuYmZLqMcgPyVtr4MV6yhLvM6QquP6B9/BoCbkCyUgdNqXCpFkpDH4tZ3MHx09/JceQId4MyuzwNS+w48+DHZy8sWeOqD5hqkVX9w1jU4C0/6MXqgL/O3N7Go5Tl/KJgnBvFYFHfgM9FP5CWE2k0BE1LpeWJUQF/LMmgh6KnRFAqfFhSWirwxiipXJetkQGfG6MsLRBPAWVrO12FDsuF/ydNSyWDOYLS5ordQ83GFbYrN7kzWLTzwVPEhCXqAXtOyeg3JRLGuVEMZlCH/EaxWfr0D+BG134WvbfjLmUVFxDMeMlqOBU2d02dlnL1GnptQI0BN2xZjBIblx+nyzt2GR2KBzN52D5SB7LnSjfHmfecCnqcDfV8pfw7g7LK+WMxizs4fmyXjENGRcI4N4rRwCMgvwyJHF1EQ4DILO3J2cpibvywJIOSNCRBxYKy+skE2awBT+pAkl4jqI5EntC59pr3soKUwl3moAL+mh7KZ9/0cpyZo+n3AFRZaSkWjPpxurzFErLsvJ80nixHUBSMc6MYQRY94InMiBmSINVS3mtksSQ6PYzeaik/HUhl6aaaAmzWhevoy08Br+bm3St0llXxVu9poOnHSR2S0M0Z8DDOgY85IJ6vgCXqsgTFjQGCRVmsoPf9fQWLaTmVuqJgnBvFCMKQAPLYiCCiTxa91dfFECeMYoFgjelk5dODlqgPSDL0zAHWTdsSJOr3pjx1WvOymtLFYlYoRkk7VlBSKjYoi8rsLnU6vSmAAFsWKwgES6nLmitRMM6NYoRlbmRt2DpFsUCwwyClHScQUJjHUovelAMFwjI3sqJYvxS9I6FXEeA+U0E0NzLElUH0LdLYt8BCZ0np9KAHenI2Qk7K008QK9OepgKl+eWNSwSMc6MYQZibvO1wZoA80giwAQ1I0gEBwSIzWRF/0MMgpTE3LLoOKK6UNy7/TIT376gQREQvi+XyfoYfR0KatkVToXPQ9gcyWlgAwVKxsgLYwmf4L1EfkBSUiYJxbhSDV7QErNCgNxL+N0b2YFBHP4BHMOjDeA1LjDTqA2mU5BiJIAwJIDPlGXyukgn6lGcwXYQ8cWUQLZCMM4mA0rUbiEWVdbaUj7nKe45DoA4Wg6RiVbCCQVprGObGwBeaAlDObAHGLPoOke7G6F9z0yjBow+SI3Zz1/TjGhcgpz6QlsSQeMpP/QidZes1gqx5uQyJPm0GAHfj9SUoltDNGSgInVkfNz/zJa+3UxB9krxgMYydl7nm/Tj0XHNjBMUGfuClUWvRu950BnWHyDCVIzKYG1dQXDunPijJ0Hs/oz9AZEZfLRXsvCQdBcWyNCRAsP47sg6wBcKVqFPfw1jM8lRUBmG6aLecII4gG1Pc0++FCjzQCLDmZaytcXy+fIyLBWVGUGzgB16HoBYboYKu9JOWktU1GQjXxE9GpDEuUHWZHCMR5LykTM5GjvUqIu8nE0J/IOEeBksRy3S6wqSlJIwrhCNB3auIOzdBGOck/XEC4ZgbeifCdboCVEsZ5sbAD+rrYpzerfVAyorKvJ/hJy0li4kA3A6kftT9/TxdJsFIFA2RTsxNSRlxDePlzblTb4xBOie7Dr0EPVcAobPc1IF/x1lfobMkPZeHFayVipWpFQxTLSVDUNxkmBsDKliWS+/WEnXJFHQFOf9HFhMBBBMMuup+eboIX1UHUu+jvw2bpfASMQtJaoq+TlPmRkPhLhDsWXQPqJS3tmrNl/eQUfKUZ/E5tJ3aPadkagX5XAVhuaSs+QAMvWFuDIKCR4w1Fr6soxcKn1FU0fsquZa36NlcDQYQFMsYV1OQnLrEkkq/LIncdIb/MmKZqcVAQmeJei5eoh6oF4lMZ7D62hrO2mC3WVZndaD2syiVuQlwtpRM+UEg5sZUSxkEhdvK3GdaSkqaJUDqIC0vih0XwInoV8Dc1HJQbdvbcVcic+MzLSVnUwyjM5PJkOgj3AW8zQWDNIDTR3PjTdVSa5S8qdha45LV4wYIprlh45ZitwLYedPnxiAw/HZG5YZeoohxOOseilkJMulK9sD70rYU53OcRCNRKzIbzuV5x10pzI1P4yUzKvPqzGoZe1kHQQJB++/IH1eQXiRSGDif1VJejRn1cQKAf1HxoEQnIkiwyJwIKXYriD01zI1BUPjVa7jMjTyKHvARXUvU3AShUfsVpPFqjYs5sJZVeigi2bh8ri2ZUZlXZ1bL2KsR7gZoxKiZ0JnfR6mpFn/MjSwhapNPBk4qc1P87n6CxX6pwWLwhpqGuTHwDb9e/YBEQ18aXdcSo8ovuQ7S6VNGBOR3XF72TUoUmwy2AcnYFIHgKQ05FL3/qqR+JakDHynPjMxx+XWc5TGogJe58RcsyqyWKnxurQBI/pr3w9zwdJlhbgz8wm8fiyGJ0WJJdO1b6CzzYdSristvFCtzTIC3SsOfQZW2Afl16CWOK8h5STKZLr+MkldkL2O+uDDcJ0MiK+Jv8s2iyquWSnmOD/HPokqs8qxhT/O2vIo3UTDOjQbw28diQGI+vfA5PiMziYySX4Ykk7ORyRdKQcdJEToHY25klVM2BmVuZDtdPp1BmRQ9UPsAVKnpH79pluLvY5bbD4oSfsuIByQGP4D/bsAymRvLsnzfR6msoE+75ZUmyLIRUWGcGw3gV93fPyw5uvZdRiy/tHkom6+auy45N0ZidF3T0EsW5fmOriUaVMB/Klam0+U9L0mrdJlnzfsdE3XHXSBAOl02K+hzw5bJ3AD+03huOl1ewUGt8+cGPY4z9VEVovDuGOUYhyso9vcwjq+XlTrwl4+VqaL3bibVBJbMiUgmYqiLS4hi/UaLksspfUfXEg0q4F9zI3NjjMUsXrlY7Vl0HEfquPyW88t2IvyOSyYTAfjXmclkbgD/jJKKtJRd4/w5ryZPhuMsAsa50QDMGNXSkfRJTh2Mq/fp3Eik6FOJGBLF3HU1IyFfQ+JT2yKbudGQIQE8mpsAbIQM+EmXeZvSydHcaHoP/fbnSst1nH0zNxKrpQD/zI1Mcb/f8+dkVuqKgnFuNIDr3OhF7473YSQcx5Hai8SyLF/Gy3songz47Rchu5zSb3NBVVF/LWdQ1YZdzZHw3mM5mhu3Q3E1obP81KJP5kZiI0YgQPonrSbQqOZE5PI2Z1Bk3MfSpoe17em7pVIKMM6NFuAMyXC26nX9kjcgNq6+4eoevcymdIA/pkt++albaVMtdz2gyKDWiq5lUuGAf6GzbKfLT0NNr+Mso5yfzZXjVBc6D0hmSIJqbuQ5qAGZG8mBRrXKJO/zoFMAZJgbg1AY7zPq54JiWZobH+Niv4t79Ar04/IRacimnItzlbOdqgf2ya6WavKti5Ds3AQWOkvegHwwN7LmqiR1UOU+Su9V5LMQwu0ULtk++OzKLWu+GnwwN2zd1cUtpCQ0+QT8dVcfkMy+iYBxbjSAH4YEkM/ccKeryrj6PBVcsoRmjT6EztKZCM8GVI0Ol97nxmfF24DsDcjHAagl5fyyGSUfzI2sMcVilq+uu6qqkvxWcclOS/lNxcrT3NTuZybbbnk/q9raGpTYkkEUjHOjAfxobrJ5mzMC0tJSAZgbWRVcgL+eMrJzxIl4jPcWqWokJJ4PBgQ39LKj/mqOs3ceZRn78T5E9LKb0gH+xP3KUos+0z+yU8S++9xI1yhVs6fyuwD7sRFuCs8wNzh06BAuuugiNDc3o7W1FZ/97GfR399f9fp//ud/xoknnoiGhgYcffTR+Jd/+Rf09PSUXGdZ1qifu+66i+prSMF4H8yNCkPPGaVqD6Pk3juA37SUXMMFeMuuqzBdLLqWllr0R9HLTrU019eVfG61Mckq5wf8OvTyNyA2rqo2QvKaZ98/nbORzVdOxSoTOldhSGzbkXrgL+DTbik4eduPjWB2fvy7yLkhG+lFF12EvXv34qGHHkI2m8WKFStwySWX4M477yx7/Z49e7Bnzx7ccMMNOOmkk/DWW2/h85//PPbs2YP/9//+X8m1P/3pT7F06VL+79bWVqqvIQXjUq6hdxynbHqHGbX6OvmGvtrD2FcUQctkblwtkB96V6aRSODgQKZ6ZCbZGeRra7jy2gLkpzRcEX1thkSm48zmy0+gIXVcPpxB2YJir4PeP5xDW1Oy6rjkC2SrMKhZtxBifHFuqeHaeR+6KYlrq9GPnVfA0EcFyUh37NiBDRs24M9//jNOO+00AMAPfvADfOQjH8ENN9yA6dOnj/qbU045Bb/4xS/4v4877jh84xvfwKc+9SnkcjkkEu5QW1tb0d7eTjF0JWBGIm87GM7aZUuqZettAA9FX01zo8LQ+0pLyWdu/Og1XGdQkkGtd4XOldZWIYqVO19sbfVWqRBU4aC6LKqfcclbW808LVV5XLI3xrpiKnY4a6M/7cO5kaW58VPOX7RpiZgl5agKINjakmpPfZTOu9pKOXZLBEju6ubNm9Ha2sodGwBYvHgxYrEYtmzZ4vt9enp60NzcXOLYAMBll12GSZMm4fTTT8ctt9xStfQWANLpNHp7e0t+dEJjndv2va+C8VKx6H1VS/EKLnmL3s+4lBgJH06XbI1SUzKOWI21JfvARe/n6Jb+8aO5URFd8/nywSjJna/Cc1/VSVWULqt2D5mDMa5eXiGEPz2X/MMpWdGBn/l6NzE3JM5NZ2cnpkyZUvJaIpHAhAkT0NnZ6es9Dhw4gGuvvRaXXHJJyevXXHMN7rnnHjz00EP42Mc+hn/6p3/CD37wg6rvtXbtWrS0tPCfjo6OYF+IGLGYxb3nSsZLdndiwF+eXwWj5Iu5kVwKDnjo3SoRkOy0lGVZNe+j7AMXAXdT1C79E8CJkJX+KXwWY7r0YitrVVTKPqoCcL//cNaueP6cCsY5iLZShZ2v1paB2/mx6tx85StfKSvo9f68/PLLkQfV29uLc889FyeddBK+/vWvl/zua1/7Gt7//vdj/vz5+PKXv4wrr7wS3/72t6u+35o1a9DT08N/du/eHXmMolGrGkKFoQ8SxUrV3PgoqexTIHQe50MwyMYlc75qORIqzo3xrq1KzKsKhsSP0yX7rCTAX7WUO18q0njlx5XO2cgVHQx5zfK8bRkqrHn+HMpjnL3aykpQYefd1hq17emYFRR/6Utfwmc+85mq1xx77LFob2/Hvn37Sl7P5XI4dOhQTa1MX18fli5divHjx+OXv/wl6uqqL76FCxfi2muvRTqdRiqVKntNKpWq+DtdUCti7FewKQYROuuWLpOtbQFq0+G27fBW9DIjoFraKZXRYt52MJTNl+2Boka4W7tCUE2g4QrDK0GFAHt8DaGzNwCRlS5Lxgvnz+VsB/3pXFkboGKz9qO5UePQ+xiXAmcwKgLN4OTJkzF58uSa1y1atAjd3d3Ytm0bFixYAAB4+OGHYds2Fi5cWPHvent7sWTJEqRSKfz3f/836uvra37W9u3b0dbWpr3zUgu1jKqSPL+mQmd/VVyF3zVLdCKaG6rrDwYyOV6h0Sw1YqxuvFRE/I1FLZDtFAynNs4Nd5z1EhT76WKu0kmtuLaKz2FDXRxxCUdVAIVUbHNDHQ4NZNA3nMO0ljLjSruaG1kIlJaSmE73I+73apTeLSBJsL/3ve/F0qVLsXLlSmzduhVPPPEEVq1ahU9+8pO8Uuqdd97B7NmzsXXrVgAFx+acc87BwMAAfvKTn6C3txednZ3o7OxEPl/w/n/961/jxz/+MV544QW89tpr+OEPf4hvfvOb+Od//meKryEVNZkbFXSlR+hcyaj2K1j0/pgb+ZFGLePFxpuIWUgl5PXPrDUu2edwASO0QBUdevnpn2YfG5DKQEM3/dv4GkEZ2zCbG+RuirXYCCXp4SITns7ZyFQ4osVN88uzWywoq7a2TCm4B3fccQdWrVqFs88+G7FYDB/72Mfw/e9/n/8+m83ilVdeweDgIADg6aef5pVUxx9/fMl77dy5EzNnzkRdXR3WrVuHL37xi3AcB8cffzxuvPFGrFy5kuprSEMtfYuKZnmFtu8J9Kdz6E/nMHn8aHaMP4yaCfP6FBhVxsb0DlWPYmVWaAC1K1pURLFAYVy9w7maQmepwl1PCq9SKtZN/8gXFFfarGWfJs3HVeNZVBFkFD6vyEYM6RMsep+vvuEsJo4bbU/ZeOXarer30HEcJXY+KshGOmHChIoN+wBg5syZJULCs846q2ZJ99KlS0ua940l1CqNdVu+y11c41JF56aG8ZK5MdZK/+TyNq9Y0om56VUQLQK1xajMoLY0qNmAKq0tN+qXn8JjB6DWlzkmQ8V81bqH3jUnMxVbSwvUq6iEuLmGQ6/CbsVjFhqTcQxm8uhP58o7N2zNy2RuaszVQEZ+w0MRMGdLaYJanVG5R69oY6zUI0WFoNjbut8uU+rp3QBkGtVaTpcbLapxIiqvLfkGFaidOlAxrkLFWPHzK26M8sXqzbUc1OKYGpNxJCR1MAfcSL5W+kfV2qpUOt+veFw6MV3eCsFyBAObq7jEhoci8O4Z6RiHG5mVNxI9RUPf0ij3YfSrBZJb2lz4LMcpn+tXcVSFd1wVNTeKyilrbkCK8um1NDdsY5JJ0dfqOeU4jjsuFWXENTZFVZt1ZVZQLXNTS0QvMyjzfl7NQENmWqrBLRwp117D28BPZjo9KoxzowlqNcPizo2q1EEZ4+XNxcpkI+rr4lyQW07f0qsgsgZqa25UdfmsVa6rirkZV1+drexTQNED1XUkg5k8bwwncwOqVU2pYlME3HFVYki40yXdbrFnsTrTJdu5GV/F6XIcRwlz461kK7fmVTQ8FAHj3GiC2noNRYa+SqTh7QAqs4wYqJ4CYgZNXbRYQ8Qo3bnxubZ009wMqdoYKzv0bK4SMQsNZfQ4VGDPYSZnI50bHV2rsg+6am5qpTxVMM7ezyu3ttI5G5ni6eoy5QeWZfHPK2dPVUgPRMA4N5qgll5DFXPDPq+nDBvBXovHLOkLv9q4VGgiADdqHsrmkc2PLvXsVWQkarXu71OQ/gFqp8tUbYzVHHqvwyWToveumXKOhCqH3k0tVmcrZTtdtcqbvZWLMlEt0GDsW8ySez4Y4J2v0fdRlT4pKoxzowlai4ure3D04rJthy986c5NY23npllBLpZHGmVoZxUN/IDSDaic8VLV5dONrqsLd8crEjqXi2KzeZvn/9Wly6o5znLXVjxm8cZu1Rgl2SxXcw32TdWzWKsxnVvaLHnNVzmCwRv8xCQ1POTjqmpP330N/ADj3GgD5kR0l3EiBjI5sKIg2cartSEJoLzT1T2YKVzTmJQ6JqA606UqWkzEY3wDKqe7Uae58VeiLnttVRMUe8eqU+pAVfoHqK4FUiFyHjmmcpU2qvVvtaqSZG/Y46o4XaocVKB6ObiKhociYJwbTcAchJ7B7CgjwRiSZCJWtu8GJdz0T2bU7zhzo/JhLCsoVvcwVjt4sVuxKFynCg2g+lyxMTVJLm0GvOmyamkpdWurvM5MrVid9QUaCVUpT5fZHT1X2bzNHVednkVVwn6geul8d9H2tykIYqPAODeagKWlMnkbQ9lSwaAqvQ0AtPpIS7WqcG4aKj+MqhgSwDuuKvMluZyfbUBD2TxyI7RA3goNVWXE5daWyii2mp5LJXPDnrNqFYKy58t7REt1p0vNmq/mRAAq0mWVx6WSIalWOs9YexX7TxQY50YTNCbjqIsXrMTIFJBX2yIb1bRAKp2uasyNqpbv3s8sZyR6BpkzKDcC8hrLkc6gt0JDtlFta2Js5WhW0G1aqcKhr5yKVeUIAq5TrNO4YjHL17MoX1BcO8gYX5+Qzgq2cHtaZs0rdOirlc53KwrKosI4N5rAsiy0VNC3qGqPD7gPWlXmRsGib6miuVEZaVQTOjN6V/Z81cVjXN8y0qiqrNDgjnNVJkKBQ99YZQNSlP4B4NqHcvOlKLUIAG3F+To8wm4VGh6qTZcNZkazlSo367YqTLhKx5mtm6pBmXFuDMKipbjAuofKb0Aq01LdQ6O1QEqdiCoU/eFBNU4EUF0XoXK+WitsQL0elkt2hQbXmQ1leb8kBlWicMCv06XyHpaL+tWxlS3F+3h4oHRc6ZyNbN4pjkuNKBwYLQxXxaAC7povew8VOs5s3ZRzunhQpmC+osA4NxrBKyr2Qq3mpjCmTM49dViHcTVXo1GL8zehSf7DWEmvMZzNc8Gl7CM0AFcMOJKN6FHKRBTmwXFGR4yqGvgB3rRUtXSZuhTxSPsAeMWo6pibkYwz+3ehjF3uuOriMTQWKxdHPotss1Zht/hcDVRpraFwXGWdGxaUGebGICwqRYwqF31T0m3NPXLhK3VuquTUWVSkQt3PdCQjIzOvoZd9thRQmblhG7gKRzCZcNNlo8ZV3ICUOBFVtC18Y1Rg6FubKmuBVD6L3HEewTi7z6F8VtA7rtFrXt1mzRznvnRuVKNPHpSpCH6Ka+vQQJmqWM50GefGICQqNcw7pHCztizL43SN2LAVGtSWCkJnx3H4ayrSUswwHR6o7AiqOHyuEnPDjJmqMk92H0c6g4cGGPuWkj6maqlYpeOq8Bxmcm5p80QF43LvYemaP6x4bbU1sWexPFupYrMuPP+l42Dgz6KCQGNChdRiNm/zPlQq+plFgXFuNEKlhnkH+9MAgEnjFG1AjeXp8F4uzFPAkBQ/89BgpmQDGszkefWPSuZmZATEGx4qin4qsRHs322KKGe2AY1cW8zITmhSx0TkbWdUg0E+LgVrq/I9LIwpZqlJL1ZynA/ztaXIuWms9CyqC37inuqy0fOlzhlkzO2hCgUHgBoWNQqMc6MR3J4y5aNrFdEi4GFJRkQaKoW7E8e5WqCBjNsXiI0p6cm5y8SESmmpIXVUOFBZyMhZQQXRIuA69DqNy3vqvNfpchxH6Zpnc1WN2VWS/mkqz1YeUjhXQOVn0WVuVDldFZguhSli9pnDWRuDGdeh7/Zo8mSXzUfFu2u0Yxxs0Y+MNA4OqFv0QHkhYy5v8whoooJxNSYT/FRmxmwBpVGZyvTPyHuoOm9dSfSpkokAKrMRqsfVVqbXzZBHFK7iWaxULaUynQFUdpwPK7ZblZkbdbopwDNfnnE5jsOdQxX3sTEZR7Lo0HvnSyXLFRXGudEIk8YVmJkD/eWNl6q0FGOMDgy4TgQbU8xSl4tlRvOg52FUSe16x3R4RLpMZYUG4BVX6rYx1qDoFY/LO19srpIJNawg24yHszaGPV3M2aaozEGtUCHoslzqn0UvuhVqboBSTRfDgCedruI+Wpbl0d2443LT6e8uvQ1gnButMHl8wYnY3+c6EV6GRFUExMZ1oM81EswBm9CU5NVUssFSU4f6vc6N2kiD3aNsvlSvweZr4jg1qcWKDIlCKhzwVtqMTP+o1WuUS8V6nQgVrOD4VKJs5aLKVBlQ2XFWqZsCKuvfDit26MtplNiYUokYGhQ4zoBnvga9dr6wF01UFFhHgXFuNILXuWFRP1tolkKGhDFG+z3pn4NFFkdFdQbDhDLGq1sxc1NfF+dRvZd2PtDHROFq5quW6FPVxliu0qZ3OMeb+qnesL3zpVqf5K1cPFxmY1SWtvZoSLxspbu21IxrYgXnZr/iZ7FcWwbVQUbhs5kswrXzLChTNVdRYJwbjcAW0FA2z0WyhzzaA1UMicvceJwbtujHq3wYC5/tTZdxJ0LhuMrl+vcrrnjzVkOUbECKN0bXQXXvIRtTUzKO+jo1UeyE4n3ypohVMxGAG0F7WVTVThf73Eyu9NBfvmFrVC01lHFtq6pnsa2M5kZ1SwbAlR8c8qSlmCPI9oB3E4xzoxGaUgk0FaN+tqgO9av36CcXnS4vc8PpSoXMDXMGvWkpNsbJ4+qVjAkon+vnEZAiI8Hmajjr9q3I247yDWjK+MJ92tfr0XMp1moAwBTOog7z19gGpHZcxfnyjMvtJ6PG6WpKutVlJU4XT/+orpZyN2tmt1KeBpKyUU5+cEhxkAF4e3SVC8qMc2MQESMXflfRiE1pVre4yj2MroZEPXPjjczYJqlyvlgke7Df69wwp0vNuBqScd4Dhc3RwYE0bKcgCldlVNl92udZWzpEi+XW/H7F9xCo/iyq2oAsy/Lcx4K9chyH31PmkMkGL1EfzPA0p3ezVqGbAoCpxbnq8jio7lypTPOXWVt9ahnnKDDOjWYYabz2dBcegPbmBmVjYkazZyiLdK5A6R7QwKN301Ie50YDI8E+m43Fth1PxZsG4+odLv7XvYeqeliwMfUMZXkFUFdxfFMVOqguQ+Iaendc6ljBkWsL0GNcU4vz1VVcU71DOWSKZfOqnNSC8Ltwdhl7/nTYrMuxleweTlF4D6e1FD67s9d1ulQHZVFgnBvNMHkEHd7ZU/jv9FZ1i76loQ518UKUw9gINi6lBrX42V097sOoQ9TPjURxXN7IUSXTxeaLbYw6bIotDXW8v8Z+jcY1pQxDwjYjlU5XOeZGC2dwBHPDWImWhjpluqlEPMY3ZTZHqlkuwF1bB/rT3C7osLbaW5iD6nVu1KbTo8A4N5qBGfS9xY2R/ZctPBWIxSxuDPZxRmkIgFqn66jiZ+/pKYzFth0eaaiiwoHR95AZiNbGOtQp7PLJjCozXuxeqjSolmWNYiO6uKFXdw+9ToRd3IB0cLomjy91IoazefQOFzRUKqP+kUwXTw8r3hSZ3XSfRfWM88RxKcQswHbcBqTsfqpcW9NGzNVwNs9bDhjmxiAyjp7QCADYdWgQALC3uHFPU+jcAMBRrYW02NuHB+E4Dnco2OsqMK2l8Nl9wzn0DWdxaDCDnAYMiUvvFuaIOYLtCg0X4G5+I5mbyQodQWC0eFcHJ4JtfjmP6FoHhmQkc8OciIa6uJLT5hkYc8PmSId7CLjPHEu1dPL0j7p7GPcEi8yR79LAGWSOYM9QFoOZHLdbjcm46VBsEB0jnRt3Y1TnRABAh2dchwezGM4W8ukqGaWmVIL3SdnbM4x3DhfmampzSilD0j4iLfV28R7OaFN7D0cyN10aUOHA6KhfBycimYhxTde+vjSGMrowJCNYLk/BgSqBbGFchTnhThfTvileW+6zWHgGmY1QGZQB3hTxMBzH0cIZHF9fx6t1O3uG8U63O1cq11ZYGOdGM3Dn5uAgDg9keBnjMRMbVQ6LOze7Dw1xh2vy+BRSCTX5dAbGkuzpHuIOIZtDVWDR4oH+DDI5WxuD2u6ZK+9/VTNK04rpxXcOD8FxHE6Lq476Wcr17cNDPOJXzZCwOWFsJde+KWbfmCPK7h1zJlTfQ9e5KU2nH6U40GDz8k73EA4NZJDO2bAsnZxBN1hUPVdhYZwbzTCjrbAx96VzeHrXYQDA9JZ6NCk0qADQUVzguw8N4q2DBSdCNRMBANOLDsOe7mHu3HQodm4mNCV534893UNuBKR4vmZObALgsoLsv8cUX1eFY4r3682DA+gezKKvyJB0tKm9j2xe3jo4gLcODgAoOM4qo9jx9XW88+5bBwf5PZwxQTGz28aCn0HYtoO3NAk0XB1JwXH2shEqMbMYrL55YBBvFu3ptOZ65cEis6e7Dw9qM1dhQebcHDp0CBdddBGam5vR2tqKz372s+jv76/6N2eddRYsyyr5+fznP19yza5du3DuueeisbERU6ZMwRVXXIFcLlfhHd99aEjGMb34QD7wfCcA4NjJ41QOCYBrpN48OIBX9/UBAE6Yos+4dh7ox27m3CjeFC3LwqxJhY3x9f3uuGYo36wLn3+gP4PuwQwfl2pW8JhJzIkYxJtFJ6K9uV7ZGTsMzOnyOhFHK54rwL1fbx0c5E7XMRPUOqgz2hqQiFlI52x09g5jV3HDPkaxc3N0cV52Hig4zoPF7sTTFW/Y7pofwK5DRcdZg7V1XHGveW1fP3e6VDuoYUFGB1x00UXYu3cvHnroIWSzWaxYsQKXXHIJ7rzzzqp/t3LlSlxzzTX8342N7sTm83mce+65aG9vx5/+9Cfs3bsXy5cvR11dHb75zW9SfRXpmDOjBXt6hvGLp98GALxn6njFI3LH8PbhIWx7q8AonTBFn3G90tWP4aLhUr1ZA8DxU8bh5c4+vLqvH6/t6+evqcT4+jpMGpfEgf4MNr9+EDnbQTIRU56WYozSmwcHOCuowz30jotpuGZqMq6nd3XjrUPufM2cpHZciXgMHRMasfPAAN7YP4Ddh/VwBo8vbtZ7e4bx3Ds9AAqOs6rydIZZxbW107vmFTuoAHDC1MJ8vbqvH3uLPdbe067ezocBCXOzY8cObNiwAT/+8Y+xcOFCnHnmmfjBD36Au+66C3v27Kn6t42NjWhvb+c/zc3N/He///3v8dJLL+FnP/sZ5s2bh2XLluHaa6/FunXrkMlkqrzruwtzO1pL/n3azDY1A/GgrSmJjiL1/cdXDwAATtRg0bMxvLy3Fy/t7QUAnDS9udqfSAFzZB5/9QD60zkkYhbfLFWCpVoeeKHACs6a2ISYojPLGI5qbUA8ZmE4a+Oxv+wvjGuSDnPFWMEBvL6/v/iaDuMqOl0HBvDGATddphpsvv746n5k8wXHmVU0qkJLYx2vTNrwwl4Aetgt5ozuPjSIF4pO13FT1K8t5gy+tKeXr/kTNQiuw4DEudm8eTNaW1tx2mmn8dcWL16MWCyGLVu2VP3bO+64A5MmTcIpp5yCNWvWYHBwsOR958yZg6lTp/LXlixZgt7eXrz44osV3zOdTqO3t7fkR2d86MQp/P8TMQuLjp2ocDQu5s5o5f8fj1l43zHqna73TB0HyypUZ/Snc0gmYpxaVQlmEB5/reAIHju5iTerU4k5R7UAAH79bCHIOKX4b5VIJmKYXdxw7nvmHQB6jGt2e8FJfvvwEB4tOl06jItF1w+/vA/7+9KIWe5YVYKt+Tu37gIAvHdas7LDfr04bnLBafj1s/o4N0e1NqCtsQ7ZvIM/7NgHQI+1ddL0wj3b15dGznbQ1linvA1JWJBY287OTkyZMqXktUQigQkTJqCzs7Pi3/3DP/wDfvazn+GRRx7BmjVr8F//9V/41Kc+VfK+XscGAP93tfddu3YtWlpa+E9HR0eYryUN753WjGWntAMAVv7NscpO+x2JpcUxAcBfHztB2cFzXoyvr8OpHqfrr2a2KS0DZzh91oSSfy+cpYeDOtIhnduh3qACwPuOHjEuzz1VhZbGuhJdWSJmcSdMJRYU7yFrDnn8lHHK9UmAu7aYIPwUDRhUAJh3dCsAoL94YOwcDZwIy7Kw4BjXRsQs4OTp6sc1vr4Oc2e44zjj+EnvyjJwIKBz85WvfGWU4Hfkz8svvxx6MJdccgmWLFmCOXPm4KKLLsLtt9+OX/7yl3j99ddDvycArFmzBj09Pfxn9+7dkd5PBtb9w/vwxFf+P3x56WzVQ+FYenI7lp7cjmMnN+ErS9+rejgc582dzv//o6dOr3KlPEwcl8L8olEFgLPfO6XyxRKx6NiJJdG0lyVUiQ+cMIn//+TxKS1SiwCw6LiJJf+vWqsBFMqIOzzVUbowu6cd0wbvPnjm8ZMqXywRf3PC5JJ/e++pSnzwRHdcfzVzAu/ZpRqfOM0N/i84TW8ioBoChd5f+tKX8JnPfKbqNcceeyza29uxb9++ktdzuRwOHTqE9vb2Cn85GgsXLgQAvPbaazjuuOPQ3t6OrVu3llzT1dUFAFXfN5VKIZV6d7WPjsUs7UrwEvEY1n96gephjMKnFx2DwUwOqUQcH9foYfy3/3kyLr97O+bNaB1lYFVh8vgULvmbY/HDTa/jHxYerbxsnuH/mz0F8zpasX13Ny5ffIIW6QwAWL5oJu7+825k8jZWvH+m6uFwXLTwGFz3u5dhWcDfL9BjzU8cl8J5c6fj/u17MK2lHmdp4jgvnDUBJ09vxot7evG3849SevSCFx9731G4+8+78Pq+Aaz+8HtUD4fjgr/qQGMqgbqYhb95jx52Kwwsx3Ec0W+6Y8cOnHTSSXjqqaewYEFhM/z973+PpUuX4u2338b06f6i6yeeeAJnnnkmnn32WZx66qn43e9+h//xP/4H9u7dy9NeP/rRj3DFFVdg3759vh2Y3t5etLS0oKenp0SwbGBwpKB7MIOWhjqtKOdc3sbBgYzyxm8jsevgIAazOS10LQx528Hdf96NjgkN+IAmjjMADGZyeOD5TiycNUEbxxkA+oazeOrNwzjj+InKe8l44TgO0jlbC0bw3QK/+zeJcwMAy5YtQ1dXF9avX89LwU877TReCv7OO+/g7LPPxu23347TTz8dr7/+Ou6880585CMfwcSJE/Hcc8/hi1/8ImbMmIFHH30UQKEUfN68eZg+fTquv/56dHZ24tOf/jQ+97nPBSoFN86NgYGBgYHBuw9+928y5eUdd9yB2bNn4+yzz8ZHPvIRnHnmmfjRj37Ef5/NZvHKK6/waqhkMok//OEPOOecczB79mx86Utfwsc+9jH8+te/5n8Tj8fxm9/8BvF4HIsWLcKnPvUpLF++vKQvjoGBgYGBgcGRDTLmRmcY5sbAwMDAwODdB+XMjYGBgYGBgYGBChjnxsDAwMDAwGBMwTg3BgYGBgYGBmMKxrkxMDAwMDAwGFMwzo2BgYGBgYHBmIJxbgwMDAwMDAzGFIxzY2BgYGBgYDCmYJwbAwMDAwMDgzEF49wYGBgYGBgYjCkY58bAwMDAwMBgTME4NwYGBgYGBgZjCgnVA1ABdpxWb2+v4pEYGBgYGBgY+AXbt2sdi3lEOjd9fX0AgI6ODsUjMTAwMDAwMAiKvr4+tLS0VPz9EXkquG3b2LNnD8aPHw/LsoS+d29vLzo6OrB7925z4jghzDzLgZlnOTDzLAdmnuWAcp4dx0FfXx+mT5+OWKyysuaIZG5isRhmzJhB+hnNzc3m4ZEAM89yYOZZDsw8y4GZZzmgmudqjA2DERQbGBgYGBgYjCkY58bAwMDAwMBgTME4N4KRSqVw9dVXI5VKqR7KmIaZZzkw8ywHZp7lwMyzHOgwz0ekoNjAwMDAwMBg7MIwNwYGBgYGBgZjCsa5MTAwMDAwMBhTMM6NgYGBgYGBwZiCcW4MDAwMDAwMxhSMcyMQ69atw8yZM1FfX4+FCxdi69atqoekLdauXYu/+qu/wvjx4zFlyhScf/75eOWVV0quGR4exmWXXYaJEydi3Lhx+NjHPoaurq6Sa3bt2oVzzz0XjY2NmDJlCq644grkcrmSazZt2oT3ve99SKVSOP7443HrrbdSfz1tcd1118GyLFx++eX8NTPP4vDOO+/gU5/6FCZOnIiGhgbMmTMHTz31FP+94zi46qqrMG3aNDQ0NGDx4sV49dVXS97j0KFDuOiii9Dc3IzW1lZ89rOfRX9/f8k1zz33HD7wgQ+gvr4eHR0duP7666V8Px2Qz+fxta99DbNmzUJDQwOOO+44XHvttSVnDZl5Do7HHnsMH/3oRzF9+nRYloX777+/5Pcy5/Tee+/F7NmzUV9fjzlz5uCBBx4I/oUcAyG46667nGQy6dxyyy3Oiy++6KxcudJpbW11urq6VA9NSyxZssT56U9/6rzwwgvO9u3bnY985CPO0Ucf7fT39/NrPv/5zzsdHR3Oxo0bnaeeesr567/+a+eMM87gv8/lcs4pp5ziLF682HnmmWecBx54wJk0aZKzZs0afs0bb7zhNDY2OqtXr3Zeeukl5wc/+IETj8edDRs2SP2+OmDr1q3OzJkznVNPPdX5whe+wF838ywGhw4dco455hjnM5/5jLNlyxbnjTfecB588EHntdde49dcd911TktLi3P//fc7zz77rPM//+f/dGbNmuUMDQ3xa5YuXerMnTvXefLJJ50//vGPzvHHH+9ceOGF/Pc9PT3O1KlTnYsuush54YUXnJ///OdOQ0OD85//+Z9Sv68qfOMb33AmTpzo/OY3v3F27tzp3Hvvvc64ceOc733ve/waM8/B8cADDzj/+q//6tx3330OAOeXv/xlye9lzekTTzzhxONx5/rrr3deeukl56tf/apTV1fnPP/884G+j3FuBOH00093LrvsMv7vfD7vTJ8+3Vm7dq3CUb17sG/fPgeA8+ijjzqO4zjd3d1OXV2dc++99/JrduzY4QBwNm/e7DhO4WGMxWJOZ2cnv+aHP/yh09zc7KTTacdxHOfKK690Tj755JLPuuCCC5wlS5ZQfyWt0NfX55xwwgnOQw895Hzwgx/kzo2ZZ3H48pe/7Jx55pkVf2/bttPe3u58+9vf5q91d3c7qVTK+fnPf+44juO89NJLDgDnz3/+M7/md7/7nWNZlvPOO+84juM4//Ef/+G0tbXxuWeffeKJJ4r+Slri3HPPdf7X//pfJa/93d/9nXPRRRc5jmPmWQRGOjcy5/QTn/iEc+6555aMZ+HChc4//uM/BvoOJi0lAJlMBtu2bcPixYv5a7FYDIsXL8bmzZsVjuzdg56eHgDAhAkTAADbtm1DNpstmdPZs2fj6KOP5nO6efNmzJkzB1OnTuXXLFmyBL29vXjxxRf5Nd73YNccafflsssuw7nnnjtqLsw8i8N///d/47TTTsPHP/5xTJkyBfPnz8fNN9/Mf79z5050dnaWzFNLSwsWLlxYMtetra047bTT+DWLFy9GLBbDli1b+DV/8zd/g2Qyya9ZsmQJXnnlFRw+fJj6ayrHGWecgY0bN+Ivf/kLAODZZ5/F448/jmXLlgEw80wBmXMqypYY50YADhw4gHw+X2L8AWDq1Kno7OxUNKp3D2zbxuWXX473v//9OOWUUwAAnZ2dSCaTaG1tLbnWO6ednZ1l55z9rto1vb29GBoaovg62uGuu+7C008/jbVr1476nZlncXjjjTfwwx/+ECeccAIefPBBXHrppfiXf/kX3HbbbQDcuapmJzo7OzFlypSS3ycSCUyYMCHQ/RjL+MpXvoJPfvKTmD17Nurq6jB//nxcfvnluOiiiwCYeaaAzDmtdE3QOT8iTwU30AuXXXYZXnjhBTz++OOqhzLmsHv3bnzhC1/AQw89hPr6etXDGdOwbRunnXYavvnNbwIA5s+fjxdeeAHr16/HxRdfrHh0Ywf33HMP7rjjDtx55504+eSTsX37dlx++eWYPn26mWcDDsPcCMCkSZMQj8dHVZh0dXWhvb1d0ajeHVi1ahV+85vf4JFHHsGMGTP46+3t7chkMuju7i653jun7e3tZeec/a7aNc3NzWhoaBD9dbTDtm3bsG/fPrzvfe9DIpFAIpHAo48+iu9///tIJBKYOnWqmWdBmDZtGk466aSS19773vdi165dANy5qmYn2tvbsW/fvpLf53I5HDp0KND9GMu44oorOHszZ84cfPrTn8YXv/hFzkyaeRYPmXNa6Zqgc26cGwFIJpNYsGABNm7cyF+zbRsbN27EokWLFI5MXziOg1WrVuGXv/wlHn74YcyaNavk9wsWLEBdXV3JnL7yyivYtWsXn9NFixbh+eefL3mgHnroITQ3N/NNZtGiRSXvwa45Uu7L2Wefjeeffx7bt2/nP6eddhouuugi/v9mnsXg/e9//6h2Bn/5y19wzDHHAABmzZqF9vb2knnq7e3Fli1bSua6u7sb27Zt49c8/PDDsG0bCxcu5Nc89thjyGaz/JqHHnoIJ554Itra2si+ny4YHBxELFa6dcXjcdi2DcDMMwVkzqkwWxJIfmxQEXfddZeTSqWcW2+91XnppZecSy65xGltbS2pMDFwcemllzotLS3Opk2bnL179/KfwcFBfs3nP/955+ijj3Yefvhh56mnnnIWLVrkLFq0iP+elSifc845zvbt250NGzY4kydPLluifMUVVzg7duxw1q1bd8SVKI+Et1rKccw8i8LWrVudRCLhfOMb33BeffVV54477nAaGxudn/3sZ/ya6667zmltbXV+9atfOc8995xz3nnnlS2nnT9/vrNlyxbn8ccfd0444YSSctru7m5n6tSpzqc//WnnhRdecO666y6nsbFxzJYoj8TFF1/sHHXUUbwU/L777nMmTZrkXHnllfwaM8/B0dfX5zzzzDPOM8884wBwbrzxRueZZ55x3nrrLcdx5M3pE0884SQSCeeGG25wduzY4Vx99dWmFFw1fvCDHzhHH320k0wmndNPP9158sknVQ9JWwAo+/PTn/6UXzM0NOT80z/9k9PW1uY0NjY6f/u3f+vs3bu35H3efPNNZ9myZU5DQ4MzadIk50tf+pKTzWZLrnnkkUecefPmOclk0jn22GNLPuNIxEjnxsyzOPz61792TjnlFCeVSjmzZ892fvSjH5X83rZt52tf+5ozdepUJ5VKOWeffbbzyiuvlFxz8OBB58ILL3TGjRvnNDc3OytWrHD6+vpKrnn22WedM88800mlUs5RRx3lXHfddeTfTRf09vY6X/jCF5yjjz7aqa+vd4499ljnX//1X0vKi808B8cjjzxS1iZffPHFjuPIndN77rnHec973uMkk0nn5JNPdn77298G/j6W43jaOhoYGBgYGBgYvMthNDcGBgYGBgYGYwrGuTEwMDAwMDAYUzDOjYGBgYGBgcGYgnFuDAwMDAwMDMYUjHNjYGBgYGBgMKZgnBsDAwMDAwODMQXj3BgYGBgYGBiMKRjnxsDAwMDAwGBMwTg3BgYGBgYGBmMKxrkxMDAwMDAwGFMwzo2BgYGBgYHBmIJxbgwMDAwMDAzGFP5/uGRLdmM+YoUAAAAASUVORK5CYII=", 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", 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", 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", 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" ] @@ -423,16 +423,6 @@ "plt.show()" ] }, - { - "cell_type": "code", - "execution_count": 12, - "id": "e9844ca9", - "metadata": {}, - "outputs": [], - "source": [ - "ssa.reconstruct([20, 21])" - ] - }, { "cell_type": "markdown", "id": "4d751864", @@ -443,13 +433,13 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 15, "id": "0b5e2a9d", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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od8yXz6Y712frwQcf9PiOKqpLRK/Xq58/m82Gf//9F1FRUWjQoAF27Njh1fMxGo3q/+fm5uKff/5Bu3btIITwukuqOAW/i1yfPfehBYDjswGg0HvTuHFjZGRkqLfbtm0LAOjatStq165daHtpnxlf3hf31+Xs2bM4f/48OnTo4PG6evNd4f5cSvvclOTtt99GjRo1EB8fj7Zt2+LHH3/EuHHj1M9FTk4OAHj8zpcFB1oHifsHFwCqVq0KACWOXXnggQewZMkS9OzZEzVr1kS3bt0wcOBA9OjRo8Rz+fK40trlCkcNGjTw2E9RFNSrV0+9H3CEjqlTpyIvLw8bN25EUlISrrnmGrRo0QIbN27EjTfeiB9++AEDBw4s83MsjcFgKPQXf9WqVT1e7/379+P8+fOIj48v8hinTp0q9TwajQb16tXz2Hb11VcDgDqV+ciRI0hOTi70S9qoUSP1fsDR152RkYGNGzcCcISiDh06oH379rDZbNi8eTMSEhJw5swZjy+V/fv349dffy026BR8HnXr1i31eQHAwYMHodFo0Lhx42L38eXzAQC1atUq9CVZtWpV/Prrr161CQBq1qzp06Dqq666yuO2JElIS0sL+lRzb993l4K/i0Dhz6yv5wcKvzcA0LBhQ/zwww9+HdfFm/b6+tl052p/wfevRo0a6veUi91ux9y5c/H666/j0KFDHmMHq1WrVvqTAXD06FFMnjwZ//3vfwu95ufPn/fqGMUp+Dt35MgRaDQapKWleWxPTExEbGxsqZ+NmJgYAEBKSkqR20v7zPjyvixfvhzPPPMMdu3a5THeyf332JvviuKeC+Db5/ymm27CmDFjIEkSqlSpgiZNmngMXI+OjgYAXLhwwavjlYahKEhkWS5yuygw4NJdfHw8du3ahVWrVuGbb77BN998g0WLFmHw4MF49913A/I4f9pVnPbt28NisWDTpk3qX+iAIyxt3LgRf/zxB06fPu3xF7q/z7E0xT0vd3a7HfHx8fjwww+LvN+bakqgtW/fHs8++yzy8/OxceNGPPnkk4iNjUXTpk2xceNGJCQkAIDHa2i323HjjTfi8ccfL/KYrpDm4v4vv/IWiM9bMNpfMKi52Gw2rz5LgRDI38Xy4E17ff1s+uu5557D008/jeHDh2PGjBmIi4uDRqPB2LFjvRrQbbPZcOONN+LMmTOYMGECGjZsiMjISBw/fhxDhw4t81ILxX1mi/vcFVTca+3vZ8bb92Xjxo3o168fOnbsiNdffx1JSUnQ6XRYtGgRPvroI6/aHqg2u9SqVQuZmZnF3t+wYUMAwO7duwOy7AJDUZhRFAV9+/ZF3759Ybfb8cADD+CNN97A008/XehfGYF4XEGuWRX79u3zqIiYzWYcOnTI48PZpk0bKIqCjRs3YuPGjRg/fjwAoGPHjnjrrbewdu1a9XZZ2+rtl0lJ6tevjzVr1uD666/3+y9au92Ov/76y+PL/c8//wQAdQZKamoq1qxZgwsXLnhUDf744w/1fpcOHTrAbDbj448/xvHjx9Xw07FjRzUUXX311Wo4cj2PixcvlvhF4Y/69evDbrdj7969xX65+PL58FYg3lt3+/fv97gthMCBAwfQvHlzdVvVqlULzZYDHP+id39evrTNl/e9LIprk/t707VrV4/79u3bV+r5A/U75u9n09W+/fv3e7wHp0+fLlRV+Oyzz9ClSxe8/fbbHtvPnTuH6tWrq7eLe067d+/Gn3/+iXfffReDBw9WtwejWx9wPDe73Y79+/erlUMAyM7Oxrlz5wL22SiOt+/L559/DoPBgFWrVkGv16vbFy1aVOh4pX1XlJeePXtClmV88MEHuOeee8p8PI4pCiP//vuvx22NRqN+kRecthmIxxUlMzMTiqLg1Vdf9Ujyb7/9Ns6fP4/evXur2wwGA6699lp8/PHHOHr0qEelKC8vD6+++irq16+PpKSkMrc1IiICAIr8i8xbAwcOhM1mw4wZMwrdZ7VavT72vHnz1P8XQmDevHnQ6XS44YYbAAC9evWCzWbz2A8AZs+eDUmS1LU1AMeYAJ1Oh1mzZiEuLg5NmjQB4HgNN2/ejPXr13tUiVzPY9OmTVi1alWhtp07dw5Wq9Wr51FQ//79odFoMH369EL/UnZ9Fnz5fHjLVQovy3vr7r333vMopX/22Wc4efKkx+tev359bN68GWazWd22fPnyQlP3fWmbL+97WRTXptatWyM+Ph4LFy70+F365ptv8Pvvv5f63gTifSjLZzMzMxM6nQ6vvfaax2drzpw5hfaVZblQpWHp0qWFlh4o7jm5qhfuxxBCeLX8iT969eoFoPBzeeWVVwDAr98bX3j7vsiyDEmSPLojDx8+XOgSJt58V5SXlJQUjBo1Ct9++y1ee+21Qvfb7Xa8/PLL+Pvvv706HitFYWTkyJE4c+YMunbtilq1auHIkSN47bXX0LJlS49/XQTqcUWpUaMGJk6ciGnTpqFHjx7o168f9u3bh9dffx3XXnttoQUrO3TogOeffx4xMTFo1qwZAEcXWYMGDbBv375Ca8H421aj0YjGjRvj008/xdVXX424uDg0bdoUTZs29fq5derUCffddx9mzpyJXbt2oVu3btDpdNi/fz+WLl2KuXPn4tZbby3xGAaDAStXrsSQIUPQtm1bfPPNN1ixYgUmTZqkdr/17dsXXbp0wZNPPonDhw+jRYsW+Pbbb/HVV19h7NixHoNrIyIikJ6ejs2bN6trFAGOSlFubi5yc3MLhaLx48fjv//9L/r06YOhQ4ciPT0dubm52L17Nz777DMcPnzY41/L3kpLS8OTTz6JGTNmoEOHDrjlllug1+uxdetWJCcnY+bMmT5/PrxRv359xMbGYuHChahSpQoiIyPRtm1br8dCFRQXF4f27dtj2LBhyM7Oxpw5c5CWloZRo0ap+4wcORKfffYZevTogYEDB+LgwYP44IMPPN4bX9vmy/teFiW1adasWRg2bBg6deqEQYMGITs7G3PnzkWdOnXwyCOPlHjcli1bQpZlzJo1C+fPn4der0fXrl2LHYNXlLJ8Nl1ri82cORN9+vRBr169sHPnTnzzzTeFHtOnTx9Mnz4dw4YNQ7t27bB79258+OGHhcb7FfdaNWzYEPXr18djjz2G48ePIzo6Gp9//rnf47lK06JFCwwZMgRvvvkmzp07h06dOuHnn3/Gu+++i/79+6NLly5BOa+Lt+9L79698corr6BHjx648847cerUKcyfPx9paWke4wC9+a4oTy+//DIOHjyIhx56CF988QX69OmDqlWr4ujRo1i6dCn++OMP3HHHHd4dLCBz2CoZb6bkL1261GO7awqn+9TQglN6P/vsM9GtWzcRHx8vFEURtWvXFvfdd584efJkie3x5nGuKflbt24tsr0Fp3TOmzdPNGzYUOh0OpGQkCD+85//FLnOyYoVKwQA0bNnT4/tI0eOFADE22+/7XNbi/PTTz+J9PR0oSiKx/T8IUOGiMjIyEL7u6bHFvTmm2+K9PR0YTQaRZUqVUSzZs3E448/Lk6cOFHi+V3nOXjwoOjWrZuIiIgQCQkJYsqUKYWmpV64cEE88sgjIjk5Weh0OnHVVVeJF1980WO6qsv48eMFADFr1iyP7WlpaQKAuq5KweNPnDhRpKWlCUVRRPXq1UW7du3ESy+9pK4VVNy04dK88847olWrVkKv14uqVauKTp06idWrV3vs483no1OnTqJJkyaFjl/wcy+EEF999ZVo3Lix0Gq1Hr8nxR3DdV9RU/I//vhjMXHiRBEfHy+MRqPo3bt3kVOsX375ZVGzZk2h1+vF9ddfL7Zt21bomCW1rajn4e37jiLWXxGi+KUCCiquTUII8emnn6rvX1xcnLjrrrvE33//XeoxhRDirbfeEvXq1ROyLHt8L6SmporevXsX2r+o18ubz2ZxbDabmDZtmkhKShJGo1F07txZ7Nmzp9Drkp+fLx599FF1v+uvv15s2rTJp/dv7969IjMzU0RFRYnq1auLUaNGqcsiFDWF311pU/Jdy3O4s1gsYtq0aaJu3bpCp9OJlJQUMXHiRJGfn++xX3GvdVGfGV9+x719X95++21x1VVXCb1eLxo2bCgWLVpU7Hdpad8VvnxuilLc70lRrFar+L//+z/RoUMHERMTI3Q6nUhNTRXDhg3zabq+5DwxEZVi6NCh+Oyzz3Dx4sVQN4WIiIKAY4qIiIiIwFBEREREBIChiIiIiAgAwDFFRERERGCliIiIiAgAQxERERERAC7e6BW73Y4TJ06gSpUqAb8kAREREQWHEAIXLlxAcnIyNJrS60AMRV44ceJEoasTExER0ZXh2LFjqFWrVqn7MRR5wXVxx2PHjiE6OjrErSEiIiJv5OTkICUlxeMizSVhKPKCq8ssOjqaoYiIiOgK4+3QFw60JiIiIgJDEREREREAhiIiIiIiABxTREREVKHZ7XaYzeZQNyNoFEXxarq9NxiKiIiIKiiz2YxDhw7BbreHuilBo9FoULduXSiKUuZjMRQRERFVQEIInDx5ErIsIyUlJWDVlHDiWlz55MmTqF27dpkXWGYoIiIiqoCsVisuXbqE5ORkREREhLo5QVOjRg2cOHECVqsVOp2uTMeqeLGRiIiIYLPZACAg3UrhzPX8XM+3LBiKiIiIKrCKfs3OQD4/hiIiIiIiMBQRERERAWAoIiIiojA0f/581KlTBwaDAW3btsXPP/8c9HMyFBFdKcyXQt0CIqJy8emnn2LcuHGYMmUKduzYgRYtWqB79+44depUUM/LUER0JcjaA8xKBdZMDXVLiIiC7pVXXsGoUaMwbNgwNG7cGAsXLkRERATeeeedoJ6X6xQRXQlO/gLYzMCxraFuCRFdoYQQyLOUfdq6P4w62etZYmazGdu3b8fEiRPVbRqNBpmZmdi0aVOwmgiAoYjoymDN8/yTiMhHeRYbGk9eFZJz753eHRGKd5Hjn3/+gc1mQ0JCgsf2hIQE/PHHH8FonordZ0RXAku+559ERBRwrBQRXQlYKSKiMjLqZOyd3j1k5/ZW9erVIcsysrOzPbZnZ2cjMTEx0E3zwFBEdCVgpYiIykiSJK+7sEJJURSkp6dj7dq16N+/PwDHhV/Xrl2LMWPGBPXc4f/qEBFgzff8k4ioAhs3bhyGDBmC1q1bo02bNpgzZw5yc3MxbNiwoJ6XoYjoSsBQRESVyO23347Tp09j8uTJyMrKQsuWLbFy5cpCg68DjaGI6Eqgdp/lAUIAFfwCj0REY8aMCXp3WUGcfUZ0JVAHWAvHekVERBRwDEVEVwL3AdYWzkAjIgoGhiKiK4H7VHyOKyIiCgqGIqIrgdXk9v8MRUREwcBQRHQlcO8y41pFRERBwVBEdCVwrw5xVWsioqBgKCK6ErBSREQUdAxFRFcCVoqIiIKOoYjoSuAeilgpIiIKCoYioiuBexDi7DMioqBgKCIKd0JwnSIiqlQ2bNiAvn37Ijk5GZIkYdmyZeVyXoYionDnvkYRwBWtiajCy83NRYsWLTB//vxyPS8vCEsU7goOrGaliIgquJ49e6Jnz57lfl6GIqJwV3BgNStFROQPIQDLpdCcWxcBSFJozu0DhiKicFewMsRKERH5w3IJeC45NOeedAJQIkNzbh9wTBFRuGMoIiIqF6wUEYW7gt1lXKeIiPyhi3BUbEJ17isAQxFRuCtUKeKYIiLygyRdEV1YocRQRBTuWCkiokrm4sWLOHDggHr70KFD2LVrF+Li4lC7du2gnZehiCjcFVyniGOKiKiC27ZtG7p06aLeHjduHABgyJAhWLx4cdDOG9KB1jNnzsS1116LKlWqID4+Hv3798e+ffs89snPz8fo0aNRrVo1REVFYcCAAcjOzvbY5+jRo+jduzciIiIQHx+P8ePHw2q1euyzbt06XHPNNdDr9UhLSwvqi0oUUAW7yzgln4gquM6dO0MIUegn2H93hzQUrV+/HqNHj8bmzZuxevVqWCwWdOvWDbm5ueo+jzzyCP73v/9h6dKlWL9+PU6cOIFbbrlFvd9ms6F3794wm8346aef8O6772Lx4sWYPHmyus+hQ4fQu3dvdOnSBbt27cLYsWMxcuRIrFq1qlyfL5FfCnaXFawcERFRQEhCCBHqRricPn0a8fHxWL9+PTp27Ijz58+jRo0a+Oijj3DrrbcCAP744w80atQImzZtwnXXXYdvvvkGffr0wYkTJ5CQkAAAWLhwISZMmIDTp09DURRMmDABK1aswJ49e9Rz3XHHHTh37hxWrlxZartycnIQExOD8+fPIzo6OjhPnqg4W/8PWPEooNEBdgtQMx0Y9V2oW0VEYS4/Px+HDh1C3bp1YTAYQt2coCnpefr693dYrVN0/vx5AEBcXBwAYPv27bBYLMjMzFT3adiwIWrXro1NmzYBADZt2oRmzZqpgQgAunfvjpycHPz222/qPu7HcO3jOkZBJpMJOTk5Hj9EIeOqFBmret4mIqKACptQZLfbMXbsWFx//fVo2rQpACArKwuKoiA2NtZj34SEBGRlZan7uAci1/2u+0raJycnB3l5hcdnzJw5EzExMepPSkpKQJ4jkV9cY4pcoYhT8omIgiJsQtHo0aOxZ88efPLJJ6FuCiZOnIjz58+rP8eOHQt1k6gyc40hMsY6/mSliIgoKMJiSv6YMWOwfPlybNiwAbVq1VK3JyYmwmw249y5cx7VouzsbCQmJqr7/Pzzzx7Hc81Oc9+n4Iy17OxsREdHw2g0FmqPXq+HXq8PyHMjKjPXbDNDrONPVoqIiIIipJUiIQTGjBmDL7/8Et999x3q1q3rcX96ejp0Oh3Wrl2rbtu3bx+OHj2KjIwMAEBGRgZ2796NU6dOqfusXr0a0dHRaNy4sbqP+zFc+7iOQRTWrAXGFHH2GRFRUIS0UjR69Gh89NFH+Oqrr1ClShV1DFBMTAyMRiNiYmIwYsQIjBs3DnFxcYiOjsaDDz6IjIwMXHfddQCAbt26oXHjxrjnnnvwwgsvICsrC0899RRGjx6tVnvuv/9+zJs3D48//jiGDx+O7777DkuWLMGKFStC9tyJvFZooHUeIIRjyX4iIgqYkFaKFixYgPPnz6Nz585ISkpSfz799FN1n9mzZ6NPnz4YMGAAOnbsiMTERHzxxRfq/bIsY/ny5ZBlGRkZGbj77rsxePBgTJ8+Xd2nbt26WLFiBVavXo0WLVrg5Zdfxv/93/+he/fu5fp8ifxScKA1BGAzh6w5REQVVUgrRd4skWQwGDB//nzMnz+/2H1SU1Px9ddfl3iczp07Y+fOnT63kSjkCg60BhzVIi3HvRERBVLYzD4jomK4BlrrqwCS81eW1z8jogrKm0uABQtDEVG4cwUgrcHxA/D6Z0RUYXlzCbBgCYsp+URUAlcA0hkdochyiTPQiKjCKnj5rcWLFyM+Ph7bt29Hx44dg3puhiKicOdeKdIZgTxwrSIi8pkQAnkh+u4wao2Q/JwxW/ASYMHEUEQU7gpWigCuak1EPsuz5qHtR21Dcu4td25BhC7C58cVdQmwYGIoIgp3rq4yV6UIYKWIiCoF1yXAfvjhh3I5H0MRUbhzBSCPgdasFBGRb4xaI7bcuSVk5/ZVcZcACyaGIqJw5wpAOrdQxEoREflIkiS/urDKmxACDz74IL788kusW7eu0CXAgomhiCicCaEGoK3H89BSo4cO4OwzIqqwSrsEWDBxnSKicOYWfoZ/sAd7Tzsv78F1ioiogvLmEmDBwkoRUThzW7k6HwpyrHKh7UREFYk3lwALFlaKiMKZM/wISLBAxiWhOLazUkREFHAMRUThzBl+rBo9AAmX7DrHdlaKiIgCjqGIKJw5w49FowcAXLI7e7xZKSIiCjiGIqJw5gw/FskRii7anKGIs8+IiAKOoYgonLkqRZJjLNFFm6v7jJUiIqJAYygiCmfOUGRyVopyXWOKuKI1EVHAMRQRhTNn+DE7lmxEPpyzzzjQmogo4BiKiMKZs5vMFYbyhatSxO4zIqJAYygiCmfOSlG+c30ik1op4kBrIqJAYygiCmfOSlGecHWfcaA1EVGwMBQRhTNnReiSKDCmiAOtiaiCWrBgAZo3b47o6GhER0cjIyMD33zzTbmcm6GIKJw5xw7lOWedubrRWCkiooqqVq1aeP7557F9+3Zs27YNXbt2xU033YTffvst6OfmBWGJwplzllmucyVrVoqIqKLr27evx+1nn30WCxYswObNm9GkSZOgnpuhiCicOStFF+0Fp+SzUkREvhFCQOSF5rtDMhohSZLPj7PZbFi6dClyc3ORkZERhJZ5YigiCmdqpcgRikzqQGvOPiMi34i8POy7Jj0k526wYzukiAiv99+9ezcyMjKQn5+PqKgofPnll2jcuHEQW+jAMUVE4czZTWZyTcl3jSmy5AFChKpVRERB1aBBA+zatQtbtmzBf/7zHwwZMgR79+4N+nlZKSIKZ85Kkbp4o6v7DAKwmQGtPkQNI6IrjWQ0osGO7SE7ty8URUFaWhoAID09HVu3bsXcuXPxxhtvBKN5KoYionDmuvZZwct8AI5qEUMREXlJkiSfurDCid1uh8kU/GEDDEVE4cw50No1Fd8CGXZooIGd1z8jogpp4sSJ6NmzJ2rXro0LFy7go48+wrp167Bq1aqgn5uhiCicFeg+AyRYNQoUez6vf0ZEFdKpU6cwePBgnDx5EjExMWjevDlWrVqFG2+8MejnZigiCmeuSpFr1hkAi6SHgnzOQCOiCuntt98O2bk5+4wonDmDj/tYIrPEtYqIiIKBoYgonFk9xxQBgImrWhMRBQVDEVE4s3jOPgMAEytFRERBwVBEFM5clSIoUGTHr+vlBRxZKSIiCiSGIqJwZrk8+6xqpHOtIuG61AcrRUREgcRQRBSuhFCDj0koiIt0LNSYp14UlrPPiIgCiaGIKFzZzOr/5kNBtUhHGLrkvDgs1ykiIgoshiKicOUWekzQoVqUMxSp3WccU0REFEgMRUThyhl67JBghhZxzkpRLitFRERBwVBEFK6cocci6QFIiIso0H3GShERUUAxFBGFK2foca1gHefsPlPXLGKliIgqgeeffx6SJGHs2LFBPxdDEVG4sroWbnSEoVijAo3kdskPzj4jogpu69ateOONN9C8efNyOR9DEVG4sniGoghFhlEnX168kesUEVEFdvHiRdx111146623ULVq1XI5p7ZczkJEvnOtUeTsLjMqMoyKjPw8rmhNRL4TQsBqtofk3FpFA0mSfHrM6NGj0bt3b2RmZuKZZ54JUss8MRQRhStn6MlzVoaMugKhiAOticgHVrMdbz68PiTnvnduJ+j0stf7f/LJJ9ixYwe2bt0axFYVxlBEFK6claI857pEru4z9TIfHGhNRBXQsWPH8PDDD2P16tUwGAzlem6GIqJw5awUuRZrNOicY4rAShER+U6raHDv3E4hO7e3tm/fjlOnTuGaa65Rt9lsNmzYsAHz5s2DyWSCLHtfdfIFQxFRuHKGnkt2t4HWiox8cJ0iIvKdJEk+dWGFyg033IDdu3d7bBs2bBgaNmyICRMmBC0QAQxFROFLnZLv6j7TOrrPwIHWRFRxValSBU2bNvXYFhkZiWrVqhXaHmickk8UrpxjhvKdA631Wo2jUsQp+UREQcFKEVG4claK8qGDUSdDo5Fg1GlZKSKiSmfdunXlch5WiojClatSBAVGxdGHblQ0bitas1JERBRIDEVE4cp5GY98KDDqnKFIJ7td+4yVIiKiQGIoIgpXrhWthYIItVKkdbvMRz4gRKhaR0RU4TAUEYUry+XZZ2r3mfvsMwjAZg5R44iIKh6GIqJwpQ60du8+cxtTBHBVayKiAGIoIgpXblPyXZWiCEULC2TYXb+6XMCRiChgGIqIwpVbpcg1psigyAAkmCXXtHxWioiIAoWhiChcua1TZHCbfQYAZl7/jIgo4BiKiMKVOtD6cqXI9ScvCktEFHgMRUThyuoaU6RDhOJYfN5VMcrnWkVERAHHUEQUriyXxxS5wpCrUpTH658RUQU1depUSJLk8dOwYcNyOTevfUYUrqyXL/MRoXiOKcoTCiCBlSIiqpCaNGmCNWvWqLe12vKJKyGtFG3YsAF9+/ZFcnIyJEnCsmXLPO4fOnRoobTYo0cPj33OnDmDu+66C9HR0YiNjcWIESNw8eJFj31+/fVXdOjQAQaDASkpKXjhhReC/dSIyq6oy3w4w9El4ew+Y6WIiLwkhIAlPz8kP8LH1fe1Wi0SExPVn+rVqwfpVSlw3nI5SzFyc3PRokULDB8+HLfcckuR+/To0QOLFi1Sb+v1eo/777rrLpw8eRKrV6+GxWLBsGHDcO+99+Kjjz4CAOTk5KBbt27IzMzEwoULsXv3bgwfPhyxsbG49957g/fkiMpCCHW6vUm4XxDWOdBacEwREfnGajLh1SG3huTcD737GXQGg9f779+/H8nJyTAYDMjIyMDMmTNRu3btILbQIaShqGfPnujZs2eJ++j1eiQmJhZ53++//46VK1di69ataN26NQDgtddeQ69evfDSSy8hOTkZH374IcxmM9555x0oioImTZpg165deOWVVxiKKHzZzAAc/7IyQVeo+yyfs8+IqIJq27YtFi9ejAYNGuDkyZOYNm0aOnTogD179qBKlSpBPXfYjylat24d4uPjUbVqVXTt2hXPPPMMqlWrBgDYtGkTYmNj1UAEAJmZmdBoNNiyZQtuvvlmbNq0CR07doSiXL40Qvfu3TFr1iycPXsWVatWLXROk8kEk8mk3s7JyQniMyQqgtuijO7dZzpZA61Gujz7jKGIiLyk1evx0Lufhezc3nIvljRv3hxt27ZFamoqlixZghEjRgSjeaqwDkU9evTALbfcgrp16+LgwYOYNGkSevbsiU2bNkGWZWRlZSE+Pt7jMVqtFnFxccjKygIAZGVloW7duh77JCQkqPcVFYpmzpyJadOmBelZEXnBGXbskGCGVu02AxxdaPlWrmhNRL6RJMmnLqxwERsbi6uvvhoHDhwI+rnCekr+HXfcgX79+qFZs2bo378/li9fjq1bt2LdunVBPe/EiRNx/vx59efYsWNBPR9RIa7xRFAASGqlCHB0obH7jIgqi4sXL+LgwYNISkoK+rnCOhQVVK9ePVSvXl1Ni4mJiTh16pTHPlarFWfOnFHHISUmJiI7O9tjH9ft4sYq6fV6REdHe/wQlSvnzDPXytWuxRsBZ6UIrBQRUcX02GOPYf369Th8+DB++ukn3HzzzZBlGYMGDQr6ua+oUPT333/j33//VdNiRkYGzp07h+3bt6v7fPfdd7Db7Wjbtq26z4YNG2CxWNR9Vq9ejQYNGhTZdUYUFtxWswYuL9oIOCpFJnVMkanQQ4mIrmR///03Bg0ahAYNGmDgwIGoVq0aNm/ejBo1agT93CEdU3Tx4kWPPsJDhw5h165diIuLQ1xcHKZNm4YBAwYgMTERBw8exOOPP460tDR0794dANCoUSP06NEDo0aNwsKFC2GxWDBmzBjccccdSE5OBgDceeedmDZtGkaMGIEJEyZgz549mDt3LmbPnh2S50zkFedU+zxnKDLoPMcUmbiiNRFVUJ988knIzh3SStG2bdvQqlUrtGrVCgAwbtw4tGrVCpMnT4Ysy/j111/Rr18/XH311RgxYgTS09OxceNGj7WKPvzwQzRs2BA33HADevXqhfbt2+PNN99U74+JicG3336LQ4cOIT09HY8++igmT57M6fgU3txWswYKV4oud59xTBERUaCEtFLUuXPnEle5XLVqVanHiIuLUxdqLE7z5s2xceNGn9tHFDLOsOMaU+ReKYpQONCaiCgYrqgxRUSVhlulSK/VQNZI6l0GnayONeJAayKiwGEoIgpHruueCcWj6wzglHwiomBhKCIKR+o6RTqPNYoAR/eZiStaExEFHEMRUThyhp18KB6rWQOAQeFAayKiYGAoIgpHFtc6RYVDkVEnI59T8omIAo6hiCgcqZUiHSJ0npNEI1gpIiIKCoYionDk1n1mKHGgNStFRESBwlBEFI7UdYp0iCgw0Nqgk9X1i1gpIqKK6Pjx47j77rtRrVo1GI1GNGvWDNu2bQv6eUO6eCMRFcN6eUxRwSn5EYoWJuE2+0wIQJIKHoGI6Ip09uxZXH/99ejSpQu++eYb1KhRA/v37y+X65UyFBGFI7cVrQt1nymay91nEIDNDGj1ICKqCGbNmoWUlBQsWrRI3Va3bt1yOTe7z4jCkduYooLdZ0ad1i0UgataE5FXhBCwm20h+Snpkl4F/fe//0Xr1q1x2223IT4+Hq1atcJbb70VxFfmMlaKiMKR25T8uEKVIhkWyLBBAxl2LuBIRF4RFjtOTP4pJOdOnt4OUoHvsuL89ddfWLBgAcaNG4dJkyZh69ateOihh6AoCoYMGRLUdjIUEYUj12U+ili80bHCtQQTFEQgn5UiIqpQ7HY7Wrdujeeeew4A0KpVK+zZswcLFy5kKCKqlKyXL/NRsPvMNfA6X+gQIeWzUkREXpF0GiRPbxeyc3srKSkJjRs39tjWqFEjfP7554FuViEMRUThyFLCZT6cISmf1z8jIh9IkuR1F1YoXX/99di3b5/Htj///BOpqalBPzcHWhOFI3VKvg5GxfPfLka1UsS1ioio4nnkkUewefNmPPfcczhw4AA++ugjvPnmmxg9enTQz81QRBSO3CtFhWafOW6buKo1EVVA1157Lb788kt8/PHHaNq0KWbMmIE5c+bgrrvuCvq52X1GFI7cp+QXKHfLGgmKVsPrnxFRhdWnTx/06dOn3M/LShFROLIWP6YIcF7/TLBSREQUSAxFROFGCHWavUnoCnWfAY4ZaCbXQGtWioiIAoKhiCjc2MwAHKu/moroPgOclSJ1TBFDERFRIDAUEYUbt8UYixpoDTim5XNKPhFRYDEUEYUbZ8ixCwlmaIscUxShuI0p4orWREQBwVBEFG7cBlkDUpGVIqPC7jMiokBjKCIKN86B0ybooMgaaOXCv6YG9zFFrBQREQUEQxFRuHGtZl3MdHygwOwzVoqIiAKCoYgo3LhWsy5mOj7gmH1mEuw+IyIKJIYionDjVikqajo+ULD7jKGIiCgQGIqIwo3VBMCxRpGhmEpRBAdaE1EFVadOHUiSVOinPC4Iy2ufEYUbS+mVIqNORpbQeexPRFQRbN26FTabTb29Z88e3HjjjbjtttuCfm6GIqJw46z8mISu2IHWnJJPRBVVjRo1PG4///zzqF+/Pjp16hT0czMUEYUbt0pRsQOtPa59xkoREZVOCAGLxRKSc+t0OkiS5PPjzGYzPvjgA4wbN86vx/uKoYgo3Lgt3lhS99nlSpGpvFpGRFcwi8WC5557LiTnnjRpEhRF8flxy5Ytw7lz5zB06NDAN6oIHGhNFG5clSJR8jpF6mU+rKwUEVHF9Pbbb6Nnz55ITk4ul/OxUkQUbpyVn3zoYNQV/SvKKflE5CudTodJkyaF7Ny+OnLkCNasWYMvvvgiCC0qms+hyGKxwGg0YteuXWjatGkw2kRUuTkrPyavu89YKSKi0kmS5FcXVqgsWrQI8fHx6N27d7md0+fuM51Oh9q1a3tMlyOiAHKtaI3iZ59FKFqYWCkiogrKbrdj0aJFGDJkCLTa8uvU8mtM0ZNPPolJkybhzJkzgW4PEVndxhQVO/tMA5NrnSJrHiBEebWOiCjo1qxZg6NHj2L48OHlel6/4te8efNw4MABJCcnIzU1FZGRkR7379ixIyCNI6qUnJUfUwkXhPUYUwQANjOg1ZdH64iIgq5bt24QIfjHnl+hqH///gFuBhGpvJiSH6FoPUORJY+hiIiojPwKRVOmTAl0O4jIxRWKSuo+08mwQIZNSJAlwVWtiYgCwO91is6dO4f/+7//w8SJE9WxRTt27MDx48cD1jiiSkntPit+oLVeqwEguU3L5ww0IqKy8qtS9OuvvyIzMxMxMTE4fPgwRo0ahbi4OHzxxRc4evQo3nvvvUC3k6jysJZ+QViNRlKn5UfCxEoREVEA+FUpGjduHIYOHYr9+/fDYDCo23v16oUNGzYErHFElZLl8pgiQzHdZwCvf0ZEFGh+haKtW7fivvvuK7S9Zs2ayMrKKnOjiCo1dUq+DhFK8cVco879Uh+8/hkRUVn5FYr0ej1ycnIKbf/zzz9Ro0aNMjeKqDIT6mU+iu8+A1yVIq5qTUQUKH6Fon79+mH69OmwWCwAHEuHHz16FBMmTMCAAQMC2kCiSsdy+TIfJXaf8fpnREQB5Vcoevnll3Hx4kXEx8cjLy8PnTp1QlpaGqpUqYJnn3020G0kqlysly/zUWKlyKP7jJUiIqKy8mv2WUxMDFavXo0ffvgBv/76Ky5evIhrrrkGmZmZgW4fUeUihFopskp66OTi/91iVGTkqwOtWSkiIiorv0JRfn4+DAYD2rdvj/bt2we6TUSVl80MCY6l7SXFWOKuRp37mCKGIiKqGGw2G6ZOnYoPPvgAWVlZSE5OxtChQ/HUU09BkqSgntuvUBQbG4s2bdqgU6dO6NKlCzIyMmA0lvwFTkRecAs3kraUUOReKWIoIqIKYtasWViwYAHeffddNGnSBNu2bcOwYcMQExODhx56KKjn9isUrVmzBhs2bMC6deswe/ZsWK1WtG7dGp06dULnzp1x4403BrqdRJWDsxvMLiTolJKvZWZU3MYUcZ0iIqogfvrpJ9x0003o3bs3AKBOnTr4+OOP8fPPPwf93H4NtG7fvj0mTZqEb7/9FufOncP333+PtLQ0vPDCC+jRo0eg20hUeVhdM890MOp1Je7qMfuMlSIiKoUQAjbbpZD8+HLF+3bt2mHt2rX4888/AQC//PILfvjhB/Ts2TNYL43Kr0oR4FiTaN26deqPyWRCnz590Llz5wA2j6iScVvN2qgr+d8sEYrMa58Rkdfs9jysW98sJOfu3Gk3ZDnCq32feOIJ5OTkoGHDhpBlGTabDc8++yzuuuuuILfSz1BUs2ZN5OXloXPnzujcuTMmTJiA5s2bB30AFFGF53Hds5J/PQ0caE1EFdCSJUvw4Ycf4qOPPkKTJk2wa9cujB07FsnJyRgyZEhQz+1XKKpRowb++OMPZGVlISsrC9nZ2cjLy0NEhHcpkIiK4aoUCV2JCzcCju6zfwQHWhORdzQaIzp32h2yc3tr/PjxeOKJJ3DHHXcAAJo1a4YjR45g5syZ4RmKdu3ahXPnzmHDhg1Yv349Jk2ahL1796Jly5bo0qULF3Ak8pf1cvdZSQs3AgW7zxiKiKhkkiR53YUVSpcuXYJG4zl8QJZl2O32oJ/b7zFFsbGx6NevH66//nq0a9cOX331FT7++GNs2bKFoYjIX85QZCplNWvANSWf3WdEVLH07dsXzz77LGrXro0mTZpg586deOWVVzB8+PCgn9uvUPTFF1+oA6z37t2LuLg4tG/fHi+//DI6deoU6DYSVR5eXvcMcIwpynd1n3GgNRFVEK+99hqefvppPPDAAzh16hSSk5Nx3333YfLkyUE/t1+h6P7770fHjh1x7733olOnTmjWLDSj2YkqHFf3mfCx+4yVIiKqIKpUqYI5c+Zgzpw55X5uv0LRqVOnAt0OIgLUio9jSn7pA605JZ+IKHD8HlNks9mwbNky/P777wCAxo0b46abboIsl/xFTkQlsJoAOENRKZUix5R81+wzU7BbRkRU4fkVig4cOIBevXrh+PHjaNCgAQBg5syZSElJwYoVK1C/fv2ANpKo0nCtUyRKX6cowv0yH1ZWioiIysqvy3w89NBDqF+/Po4dO4YdO3Zgx44dOHr0KOrWrRv0i7URVWiWy7PPjErJv55GTsknIgoovypF69evx+bNmxEXF6duq1atGp5//nlcf/31AWscUaXjtqJ1vK7kX0/3MUXCmgeuJ09EVDZ+VYr0ej0uXLhQaPvFixehKIrXx9mwYQP69u2L5ORkSJKEZcuWedwvhMDkyZORlJQEo9GIzMxM7N+/32OfM2fO4K677kJ0dDRiY2MxYsQIXLx40WOfX3/9FR06dIDBYEBKSgpeeOEF758sUXlSr32mK3VMkVFxu8wHK0VERGXmVyjq06cP7r33XmzZsgVCCAghsHnzZtx///3o16+f18fJzc1FixYtMH/+/CLvf+GFF/Dqq69i4cKF2LJlCyIjI9G9e3fk51/+C+Cuu+7Cb7/9htWrV2P58uXYsGED7r33XvX+nJwcdOvWDampqdi+fTtefPFFTJ06FW+++aY/T50ouDzGFJUcihRZA7MzFEnWPMCHq1ATEVFhfnWfvfrqqxg6dCjatWsHrdZxCKvVin79+mHu3LleH6dnz57o2bNnkfcJITBnzhw89dRTuOmmmwAA7733HhISErBs2TLccccd+P3337Fy5Ups3boVrVu3BuBY9KlXr1546aWXkJycjA8//BBmsxnvvPMOFEVRLy73yiuveIQnorDgnEVm8mJKviRJkHSGyxtsZkCrD2briIgqNJ8qRXa7HbNmzULv3r1x/Phx9O/fH0uXLsVnn32Gffv24csvv0RMTExAGnbo0CFkZWUhMzNT3RYTE4O2bdti06ZNAIBNmzYhNjZWDUQAkJmZCY1Ggy1btqj7dOzY0aNbr3v37ti3bx/Onj1b5LlNJhNycnI8fojKhbqidendZwAg6dwussi1ioiIysSnUPTss89i0qRJiIqKQs2aNfH1119j2bJl6Nu3L9LS0gLasKysLABAQkKCx/aEhAT1vqysLMTHx3vcr9VqERcX57FPUcdwP0dBM2fORExMjPqTkpJS9idE5A0fLggLADpFgU1IHo8lIiL/+BSK3nvvPbz++utYtWoVli1bhv/973/48MMPy+XKteVp4sSJOH/+vPpz7NixUDeJKgm75fKYotK6zwDAqGi5qjURVTgXLlzA2LFjkZqaCqPRiHbt2mHr1q1BP69Poejo0aPo1auXejszMxOSJOHEiRMBb1hiYiIAIDs722N7dna2el9iYmKhS45YrVacOXPGY5+ijuF+joL0ej2io6M9fojKgzC7XebDi0qRRyhipYiIKoiRI0di9erVeP/997F7925069YNmZmZOH78eFDP61MoslqtMBgMHtt0Oh0sFktAGwUAdevWRWJiItauXatuy8nJwZYtW5CRkQEAyMjIwLlz57B9+3Z1n++++w52ux1t27ZV99mwYYNHG1evXo0GDRqgatWqAW83UVnYnVPrzVCgyKX/ehp1GlaKiKhCycvLw+eff44XXngBHTt2RFpaGqZOnYq0tDQsWLAgqOf2afaZEAJDhw6FXn95hkt+fj7uv/9+REZGqtu++OILr4538eJFHDhwQL196NAh7Nq1C3FxcahduzbGjh2LZ555BldddRXq1q2Lp59+GsnJyejfvz8AoFGjRujRowdGjRqFhQsXwmKxYMyYMbjjjjuQnJwMALjzzjsxbdo0jBgxAhMmTMCePXswd+5czJ4925enTlQ+nKFI6IyQpNKXYzTqZJiEDpDA658RUYmEELgUouEuERqNV99pgKMAY7PZChVhjEYjfvjhh2A0T+VTKBoyZEihbXfffbffJ9+2bRu6dOmi3h43bpx6nsWLF+Pxxx9Hbm4u7r33Xpw7dw7t27fHypUrPV6oDz/8EGPGjMENN9wAjUaDAQMG4NVXX1Xvj4mJwbfffovRo0cjPT0d1atXx+TJkzkdn8KTc50iycup9RGK9vICjrz+GRGV4JLdjvobdofk3Ac7NkOklxeMr1KlCjIyMjBjxgw0atQICQkJ+Pjjj7Fp06aAT+oqyKdQtGjRooCevHPnzhAlLDgnSRKmT5+O6dOnF7tPXFwcPvrooxLP07x5c2zcuNHvdhKVF8k1Lsh9qn0JDDpe/4yIKp73338fw4cPR82aNSHLMq655hoMGjTIY7hMMPi1eCMRBYcrFGm8DEURiox8wUoREZUuQqPBwY7NQnZuX9SvXx/r169Hbm4ucnJykJSUhNtvvx316tULUgsdGIqIwoUQ0NgcoUjyMhQZFRn50DlusFJERCWQJMnrLqxwERkZicjISJw9exarVq0K+rVLGYqIwoXNAgmO7mRZ70f3GStFRFRBrFq1CkIINGjQAAcOHMD48ePRsGFDDBs2LKjn9euCsEQUBG6hRqt4331mclWKOPuMiCqI8+fPY/To0WjYsCEGDx6M9u3bY9WqVdDpdEE9LytFROHC2f1lFxK0iqGUnR2MOrcxRVyniIgqiIEDB2LgwIHlfl5WiojChfXyxWAj9N79e8Xo0X3GMUVERGXBUEQULiyXLwbrzXXPANdAa1aKiIgCgaGIKFxY3UKR4n2lyMRKERFRQDAUEYULVygSOkR4cTFYwFkpEly8kYgoEBiKiMKFxTWmyLfus8uzzxiKiIjKgqGIKFyo3Wc6GL2tFHGgNRGVoqTLaVUEgXx+DEVE4cKfSpFORr5wrWjNgdZEdJnsXL3abDaHuCXB5Xp+cgBW6+Y6RUThQh1TpHg9pijCbfaZsOZBClrjiOhKo9VqERERgdOnT0On00Hj4/XHrgR2ux2nT59GREQEtNqyRxqGIqJw4TH7zLtQZHAPRZZ8hiIiUkmShKSkJBw6dAhHjhwJdXOCRqPRoHbt2pCksn8DMhQRhQu3dYpifeg+cw20FmZ2nxGRJ0VRcNVVV1XoLjRFUQJWBWMoIgoXrhWthQ4RXq5TpJM1sGr0AADBgdZEVASNRgODwbtLB1V2Fa+DkehK5b6iteL9r6bQOr/sONCaiKhMGIqIwoWzUuTLitYAAK3R+XhWioiIyoKhiChM2C1u6xR5OaYIADQ6R6VIYigiIioThiKiMGFzDpT2ZUo+AEDnqBTJtnyggi/SRkQUTAxFRGHCZroEADBLOui13v9qahXj5RtWU6CbRURUaTAUEYUJu7NSZNMYfFpvQ6N3D0XsQiMi8hdDEVGYsDtnj6mzybyk6PSwCWeIYigiIvIbQxFRmBDOUGSXfQtFRr3u8kVhOS2fiMhvDEVE4cI1HkjnYyjSaS6HIlaKiIj8xlBEFC5cVR6dseT9CjDqZFaKiIgCgKGIKEy41hnS+DimyKhoYRKO659x9hkRkf8YiojChMbmDEWK75Uik9p9xkoREZG/GIqIwoTG5qjyaHztPlPcxhRZOKaIiMhfDEVEYUJ2VYr0ET49zqhokS9YKSIiKiuGIqJwIARkuxkAoNX7M9DaOaaIlSIiIr8xFBGFA5sFGtgBADo/xhTlc0wREVGZMRQRhQO3MKM1+NZ9FqHIMIGzz4iIyoqhiCgcOLu97EKC4mOlyKCTL48p4jpFRER+YygiCgfOSpEJOkTotT491KjIXNGaiCgAGIqIwoGz2ysfCoyKb6EoQuGK1kREgcBQRBQOnGEmHwqMOtmnh3ou3shKERGRvxiKiMKBM8yYhA4Rim+hyH1MkWCliIjIbwxFROHArVJk8LFS5D77zGZmpYiIyF8MRUThwFkpyoeflSJn95ndzEoREZG/GIqIwoHFNftMgdHHUCRrJFg1egCAnd1nRER+YygiCgeu2WfC94HWACC0BseflksBbRYRUWXCUEQUBuwWt3WKfKwUAYCQXaGIY4qIiPzFUEQUBqwmR4Un34/uMwAQOkco4jpFRET+YygiCgMWVygSCgxa30OR5Ow+47XPiIj8x1BEFAZclSKLRg+NRvL58ZLOcb00jY3dZ0RE/mIoIgoDNudUepus9+vxGudFZCWuaE1E5DeGIqIw4ApFdo3Br8drnJUi2cbuMyIifzEUEYUB16KLdq1/lSJZ7whFWns+IETA2kVEVJkwFBGFAdc1y1zrDflKq4+4fIODrYmI/MJQRBQOnOsL2WX/QpHsHFMEQL1kCBER+YahiCgMuCpFks6/UKRX9LAJ56w1hiIiIr8wFBGFAdesMdfUel9F6LXqRWG5gCMRkX8YiojCgORaX8jPSpFBJ18ORawUERH5haGIKAxonIOjZT8rRUZFZqWIiKiMGIqIwoDsrBRpFD+7zxQZ+YKVIiKismAoIgoDst1ZKVIiStmzaEadDDN0jhsMRUREfmEoIgoDrlCkNfgXijzGFFkYioiI/MFQRBQGdK5Q5GelKELRunWfcUwREZE/GIqIQk0I6IQZAKAz+DnQWicj39V9xkoREZFfGIqIQs1mgQZ2AICi93NMkaJxm5LPShERkT8YiohCzS3E6I2Rfh3CqGg5poiIqIwYiohCzXXdMyFBr/e/+8wkHN1ndoYiIiK/MBQRhZpzCr0JOhj1Wr8OYXSbfWY1XQpY04iIKhOGIqJQcwtFEYp/ocig0zAUERGVUViHoqlTp0KSJI+fhg0bqvfn5+dj9OjRqFatGqKiojBgwABkZ2d7HOPo0aPo3bs3IiIiEB8fj/Hjx8NqtZb3UyEqnvOyHPlQYNTJfh1CkiTYNHoAgM3MgdZERP7w75+l5ahJkyZYs2aNelurvdzkRx55BCtWrMDSpUsRExODMWPG4JZbbsGPP/4IALDZbOjduzcSExPx008/4eTJkxg8eDB0Oh2ee+65cn8uREURljxIAPKFgkjFv1AEAHbZAAjAzmufERH5JexDkVarRWJiYqHt58+fx9tvv42PPvoIXbt2BQAsWrQIjRo1wubNm3Hdddfh22+/xd69e7FmzRokJCSgZcuWmDFjBiZMmICpU6dCUZTyfjpEhVhMl6DAUSmqXoZQZJP1gBWws1JEROSXsO4+A4D9+/cjOTkZ9erVw1133YWjR48CALZv3w6LxYLMzEx134YNG6J27drYtGkTAGDTpk1o1qwZEhIS1H26d++OnJwc/Pbbb8We02QyIScnx+OHKFhM+a7uM53f3WcAILQGx5+cfUZE5JewDkVt27bF4sWLsXLlSixYsACHDh1Chw4dcOHCBWRlZUFRFMTGxno8JiEhAVlZWQCArKwsj0Dkut91X3FmzpyJmJgY9SclJSWwT4zIjTk/1/GnpIeskfw/kBqKWCkiIvJHWHef9ezZU/3/5s2bo23btkhNTcWSJUtgNPq3nos3Jk6ciHHjxqm3c3JyGIwoaKz5jtliVqls3bmuShFXtCYi8k9YV4oKio2NxdVXX40DBw4gMTERZrMZ586d89gnOztbHYOUmJhYaDaa63ZR45Rc9Ho9oqOjPX6IgsXinEJvdc4e85vO8Q8FycruMyIif1xRoejixYs4ePAgkpKSkJ6eDp1Oh7Vr16r379u3D0ePHkVGRgYAICMjA7t378apU6fUfVavXo3o6Gg0bty43NtPVBRbgEKRhqGIiKhMwrr77LHHHkPfvn2RmpqKEydOYMqUKZBlGYMGDUJMTAxGjBiBcePGIS4uDtHR0XjwwQeRkZGB6667DgDQrVs3NG7cGPfccw9eeOEFZGVl4amnnsLo0aOh15fxX+VEAWJ1zhazyYEJRRobQxERkT/COhT9/fffGDRoEP7991/UqFED7du3x+bNm1GjRg0AwOzZs6HRaDBgwACYTCZ0794dr7/+uvp4WZaxfPly/Oc//0FGRgYiIyMxZMgQTJ8+PVRPiagQ17pCdtlQpuNoFMfjNTZzmdtERFQZhXUo+uSTT0q832AwYP78+Zg/f36x+6SmpuLrr78OdNOIAsauVorKFopkJQIAoLWzUkRE5I8rakwRUUWkritUxu4zrd7RfSbbTGVtEhFRpcRQRBRqzu4zoSvbMhOy3lEpUoQJEKLMzSIiqmwYiohCzTVbTFe27jPFEOF2TFaLiIh8xVBEFGrOUCRpy1YpUvTuoYgLOBIR+YqhiCjEXFPoNUrZQpFer4dNOC8TwkoREZHPGIqIQkzjDDCaMnafGRUt8uG8VAivf0ZE5DOGIqIQk51T6OUyVoqMinw5FHFVayIinzEUEYWY1jmFXnYfE+QHo05mpYiIqAwYiohCTGt3hqJAVIoEK0VERP5iKCIKMa1wXJZDMUSW6ThGnQwzdI4bDEVERD5jKCIKMZ1wVIp0hrJ1n0V4DLRmKCIi8hVDEVGIKc5KkS4QY4qc3WdW86Uyt4uIqLJhKCIKJSGghyMUGYxlC0UGRYN8Z/eZJZ+hiIjIVwxFRKFks0CGHQCgL+OYIkXWwCQ5LiprNTEUERH5iqGIKISE2+U4DBFlC0WSJMEqObrPWCkiIvIdQxFRCJnyLocXYxm7zwDAqnFWisxcp4iIyFcMRUQhZM7PBQDkCx2MirbMx7PJjlBkYygiIvIZQxFRCOXnOUMRFGjlsv862jSO66fZOfuMiMhnDEVEIWRyjv0xOccClZVd6wpFrBQREfmKoYgohCzOSpEZ+oAcT8iOUCS4eCMRkc8YiohCyGxyVHQsmgCFIp0jFMHKShERka8YiohCyOJcT8gSoO4zSesMV7z2GRGRzxiKiELItciiLUCVIuiMjj/ZfUZE5DOGIqIQsjlDkVUOTCiSnKFIY2MoIiLyFUMRUQi51hOyB6hSpFFDkSkgxyMiqkwYiohCyG52VHRszlljZaVRWCkiIvIXQxFRCAmLo1IktIEJRbLecakQLStFREQ+YygiCqFAhyKts1IkC4YiIiJfMRQRhZJrlligQpHeEYp0doYiIiJfMRQRhZJzkUXXrLGy0ukjHX8Kc0COR0RUmTAUEYWQ5BoQrQtMpUgxOMYU6YUJECIgxyQiqiwYiohCSGN1dHNpAlQp0jtDEQDAyi40IiJfMBQRhZDG7qgUuWaNlZUuIvLyDV7/jIjIJwxFRCEk21yVosB0n0Xo9bAJyXGDlSIiIp8wFBGFkNY5S0wXoEqRUdEiH86Ly1pYKSIi8gVDEVEIuabOu6bSl5VRJ6uhSDAUERH5hKGIKIS0dsfUea0hspQ9vWNULocii/Nis0RE5B2GIqIQ0jlXnlYCFIoMOhn5whGKTHm5ATkmEVFlwVBEFEJ6OCpFSoC6z3SyBmbJEYrMrBQREfmEoYgoRMxWuxqK9MbAVIoAwOIMRZZ8jikiIvIFQxFRiORZbDC4QlGAus+Ay6HInM/uMyIiXzAUEYVInsmqhiLFEJgp+QBg0egBADYTK0VERL5gKCIKkUv5+ZAl5/XJArR4IwBYNY5j2cwcU0RE5AuGIqIQMbl3b2kDM9AaAGzOSpHVzEoREZEvGIqIQsRjyrxWH7Dj2p3HEqwUERH5hKGIKETM+Y7QYoICSFLAjmuXHd1ndkt+wI5JRFQZMBQRhYgrFLnWFQoU4QpFZoYiIiJfMBQRhYjFGYosUuC6zgBAaJ2Dtq0cU0RE5AuGIqIQcQ2EtmoCG4ok10w2dp8REfmEoYgoRFwXbLVqAtt9Bp1jJptkYygiIvIFQxFRiNids8NscuDWKAIAyRmKNFaGIiIiXzAUEYWIzdl9ZpcD230mO7vPJJspoMclIqroGIqIQsSuhqIAV4r0jkuGyOw+IyLyCUMRUYgI50BodbZYgGgVR/eZ1s5KERGRLxiKiELF4qgUBTwUOStFDEVERL5hKCIKFddAaIYiIqKwwFBEFCKSMxSp6woFiM4ZihTBUERE5AuGIqIQuRyKjAE9rmJwHE8nzAE9LhFRRcdQRBQiGufsMI0SEdDjKoZIx59gKCIi8gVDEVGIaJzrCMlKYCtFeqMjFBlhBoQI6LGJiCoybagbQFTZZOfk4+vdJ1HdkgdIgBzgSpHBGYoAwG7JhybAoYuIqKJiKCIqB6cu5OOb3VlY8etJbD1yBkIAC3QmQAZioqMCei73UGTKuwQjQxERkVcYioiC5PQFE1b+loUVv57AlkNnPHqyWqdWRTOrAvwLREQENhQZDQZYhQZayY78/FwYY6oF9PhERBUVQxFRgAgh8G+uGd/+lo3lv57A5r/+hd0tCLWqHYs+zZPRq1kikmKMwGIN8C8Cvk6RRiMhDzpoYUJ+Xm5Aj01EVJExFFFQCSFgsQlYbHZIEiBrJMiSBFkjQZIkr49jswuYrDaYrXaYrHbnnzaYnLeFADTO42skx4/j/x0hQXZu02gcY48vmW24aLIgJ9+Ki/lWXDRZcSHfgov5VlwwObZdcG7Ps9hgsTnOabHZYbEJWG12mJ3P6/JP4UHNLWrFoE/zZPRslohaVQuMHXIt3hjgKfkAYJIURMIESz5DERGRtypVKJo/fz5efPFFZGVloUWLFnjttdfQpk2bUDerkHyLDX+fzcOxs5fw95lLOHY2D8fOXMKxs5eQdd4xY0mrcfylr5Uvhwz1tkYDWQK0Gg0gAVabHTa7gNUuCvxph9XmdttmvxwgNJ7HdQUMx/9rIDvnLVptAmZXKLA6jukID47AYLUXP/tJLuIcWo3j3BIAs82uhiBbCccJN81qxqB38yT0bpaElLgSBlFbgrOiNQCYoQdwAea8SwE/NhFRRVVpQtGnn36KcePGYeHChWjbti3mzJmD7t27Y9++fYiPjw9Jm87nWbByz0kc+/cS/vn3FC78m4X886egyfsXcdIFVEMOqkoX0EDKQTtcQJyUgxg4/uVvgwZ2aDz+LPT/QgMBQJbskCAgww4ZRf+/xvljt19+vA0yrM57rM69rOLybQEJmoLHkYTjEZKArLVDct6vgfA4plVoHX9ChhUybHYZVrvzPmhhExpnu+2QZTs0svO4zvNoNYBOskOWBLSSgIAGJuhggQwzdDALLczQwiy0MLn+FFrndhkGrQZGnQS9LMGgdf1ooNcCeq0GehnQyxL0WgmyVoHQVwH00YA+CpI+GhpDNDTGKtAYoqE1RENriIJOq4FeJyNK7+WvldVx7bNghCKLpAACOHrqDCLP56FapB6KlitwEBGVRBKicixk0rZtW1x77bWYN28eAMButyMlJQUPPvggnnjiiRIfm5OTg5iYGJw/fx7R0dEBa9Phfb/g1AcjEAUTZNgDdlwKAUlyhBttBKDTATo9oFEAjQ6Q9YCsA3QGQKsDNM7bf37ruChs92eBuPoBbU72pw8hwX4Kl6BDHowwQYEZWtg1ethlPSArgM4Ajd4IWdZDUSIgKToIjQRodBBQAEmG0GghJA2g0UJodIDGsU3SagBIjv8kQILbj+T4P0lyvCwaAJA0EHDu6NpTcv0Jx32uuwq8rJ6bPXco3AHrekBRXbNFd9dKxWwvUbFdv34cy/uTBvHYPgqjplDFIckatGjdAQZD4P6h6Ovf35WiUmQ2m7F9+3ZMnDhR3abRaJCZmYlNmzYV2t9kMsFkunzdqJycnKC0Ky//Evp1/b+gHJuuAAkDHX9aAGTbAnvszrMDezzyVCn+KVmCyv78KTjswPq/9qNB42Yha0KlqKf/888/sNlsSEhI8NiekJCArKysQvvPnDkTMTEx6k9KSkpQ2qXRBnYqNhEREfmvUlSKfDVx4kSMGzdOvZ2TkxOUYJRa/yqsl/YH/LhERERXotR6V4X0/JUiFFWvXh2yLCM7O9tje3Z2NhITEwvtr9frodfrg94ug8EQ0jIhERERXVYpus8URUF6ejrWrl2rbrPb7Vi7di0yMjJC2DIiIiIKF5WiUgQA48aNw5AhQ9C6dWu0adMGc+bMQW5uLoYNGxbqphEREVEYqDSh6Pbbb8fp06cxefJkZGVloWXLlli5cmWhwddERERUOVWadYrKIljrFBEREVHw+Pr3d6UYU0RERERUGoYiIiIiIjAUEREREQFgKCIiIiICwFBEREREBIChiIiIiAgAQxERERERAIYiIiIiIgAMRUREREQAKtFlPsrCteh3Tk5OiFtCRERE3nL9ve3txTsYirxw4cIFAEBKSkqIW0JERES+unDhAmJiYkrdj9c+84LdbseJEydQpUoVSJIU0GPn5OQgJSUFx44d43XVygFf7/LF17t88fUuX3y9y5c/r7cQAhcuXEBycjI0mtJHDLFS5AWNRoNatWoF9RzR0dH8pSpHfL3LF1/v8sXXu3zx9S5fvr7e3lSIXDjQmoiIiAgMRUREREQAGIpCTq/XY8qUKdDr9aFuSqXA17t88fUuX3y9yxdf7/JVHq83B1oTERERgZUiIiIiIgAMRUREREQAGIqIiIiIADAUEREREQFgKCoX8+fPR506dWAwGNC2bVv8/PPPJe6/dOlSNGzYEAaDAc2aNcPXX39dTi2tGHx5vRcvXgxJkjx+DAZDObb2yrZhwwb07dsXycnJkCQJy5YtK/Ux69atwzXXXAO9Xo+0tDQsXrw46O2sKHx9vdetW1fo8y1JErKyssqnwVewmTNn4tprr0WVKlUQHx+P/v37Y9++faU+jt/f/vHn9Q7G9zdDUZB9+umnGDduHKZMmYIdO3agRYsW6N69O06dOlXk/j/99BMGDRqEESNGYOfOnejfvz/69++PPXv2lHPLr0y+vt6AY3XUkydPqj9HjhwpxxZf2XJzc9GiRQvMnz/fq/0PHTqE3r17o0uXLti1axfGjh2LkSNHYtWqVUFuacXg6+vtsm/fPo/PeHx8fJBaWHGsX78eo0ePxubNm7F69WpYLBZ069YNubm5xT6G39/+8+f1BoLw/S0oqNq0aSNGjx6t3rbZbCI5OVnMnDmzyP0HDhwoevfu7bGtbdu24r777gtqOysKX1/vRYsWiZiYmHJqXcUGQHz55Zcl7vP444+LJk2aeGy7/fbbRffu3YPYsorJm9f7+++/FwDE2bNny6VNFdmpU6cEALF+/fpi9+H3d+B483oH4/ublaIgMpvN2L59OzIzM9VtGo0GmZmZ2LRpU5GP2bRpk8f+ANC9e/di96fL/Hm9AeDixYtITU1FSkoKbrrpJvz222/l0dxKiZ/v0GjZsiWSkpJw44034scffwx1c65I58+fBwDExcUVuw8/34HjzesNBP77m6EoiP755x/YbDYkJCR4bE9ISCi2Tz8rK8un/ekyf17vBg0a4J133sFXX32FDz74AHa7He3atcPff/9dHk2udIr7fOfk5CAvLy9Eraq4kpKSsHDhQnz++ef4/PPPkZKSgs6dO2PHjh2hbtoVxW63Y+zYsbj++uvRtGnTYvfj93dgePt6B+P7W+v3I4kqgIyMDGRkZKi327Vrh0aNGuGNN97AjBkzQtgyorJr0KABGjRooN5u164dDh48iNmzZ+P9998PYcuuLKNHj8aePXvwww8/hLoplYK3r3cwvr9ZKQqi6tWrQ5ZlZGdne2zPzs5GYmJikY9JTEz0aX+6zJ/XuyCdTodWrVrhwIEDwWhipVfc5zs6OhpGozFErapc2rRpw8+3D8aMGYPly5fj+++/R61atUrcl9/fZefL611QIL6/GYqCSFEUpKenY+3ateo2u92OtWvXeqRbdxkZGR77A8Dq1auL3Z8u8+f1Lshms2H37t1ISkoKVjMrNX6+Q2/Xrl38fHtBCIExY8bgyy+/xHfffYe6deuW+hh+vv3nz+tdUEC+vwM6bJsK+eSTT4RerxeLFy8We/fuFffee6+IjY0VWVlZQggh7rnnHvHEE0+o+//4449Cq9WKl156Sfz+++9iypQpQqfTid27d4fqKVxRfH29p02bJlatWiUOHjwotm/fLu644w5hMBjEb7/9FqqncEW5cOGC2Llzp9i5c6cAIF555RWxc+dOceTIESGEEE888YS455571P3/+usvERERIcaPHy9+//13MX/+fCHLsli5cmWonsIVxdfXe/bs2WLZsmVi//79Yvfu3eLhhx8WGo1GrFmzJlRP4Yrxn//8R8TExIh169aJkydPqj+XLl1S9+H3d+D483oH4/uboagcvPbaa6J27dpCURTRpk0bsXnzZvW+Tp06iSFDhnjsv2TJEnH11VcLRVFEkyZNxIoVK8q5xVc2X17vsWPHqvsmJCSIXr16iR07doSg1Vcm15Tvgj+u13jIkCGiU6dOhR7TsmVLoSiKqFevnli0aFG5t/tK5evrPWvWLFG/fn1hMBhEXFyc6Ny5s/juu+9C0/grTFGvMwCPzyu/vwPHn9c7GN/fkrMxRERERJUaxxQRERERgaGIiIiICABDEREREREAhiIiIiIiAAxFRERERAAYioiIiIgAMBQRERERAWAoIiIiIgLAUEREITR06FBIklTohxcsJaJQ0Ia6AURUufXo0QOLFi3y2FajRg2P22azGYqilGeziKgSYqWIiEJKr9cjMTHR4+eGG27AmDFjMHbsWFSvXh3du3cHAOzZswc9e/ZEVFQUEhIScM899+Cff/5Rj5Wbm4vBgwcjKioKSUlJePnll9G5c2eMHTtW3UeSJCxbtsyjDbGxsVi8eLF6+9ixYxg4cCBiY2MRFxeHm266CYcPH1bvHzp0KPr374+XXnoJSUlJqFatGkaPHg2LxaLuYzKZMGHCBKSkpECv1yMtLQ1vv/02hBBIS0vDSy+95NGGXbt2sUpGFGIMRUQUlt59910oioIff/wRCxcuxLlz59C1a1e0atUK27Ztw8qVK5GdnY2BAweqjxk/fjzWr1+Pr776Ct9++y3WrVuHHTt2+HRei8WC7t27o0qVKti4cSN+/PFHREVFoUePHjCbzep+33//PQ4ePIjvv/8e7777LhYvXuwRrAYPHoyPP/4Yr776Kn7//Xe88cYbiIqKgiRJGD58eKHq2KJFi9CxY0ekpaX594IRUdmV6XKyRERlMGTIECHLsoiMjFR/br31VtGpUyfRqlUrj31nzJghunXr5rHt2LFjAoDYt2+fuHDhglAURSxZskS9/99//xVGo1E8/PDD6jYA4ssvv/Q4TkxMjHo17vfff180aNBA2O129X6TySSMRqNYtWqV2u7U1FRhtVrVfW677TZx++23CyGE2LdvnwAgVq9eXeTzPn78uJBlWWzZskUIIYTZbBbVq1cXixcv9uJVI6Jg4ZgiIgqpLl26YMGCBertyMhIDBo0COnp6R77/fLLL/j+++8RFRVV6BgHDx5EXl4ezGYz2rZtq26Pi4tDgwYNfGrPL7/8ggMHDqBKlSoe2/Pz83Hw4EH1dpMmTSDLsno7KSkJu3fvBuDoCpNlGZ06dSryHMnJyejduzfeeecdtGnTBv/73/9gMplw2223+dRWIgoshiIiCqnIyMgiu4wiIyM9bl+8eBF9+/bFrFmzCu2blJTk9VgcSZIghPDY5j4W6OLFi0hPT8eHH35Y6LHuA8B1Ol2h49rtdgCA0WgstR0jR47EPffcg9mzZ2PRokW4/fbbERER4dVzIKLgYCgioivCNddcg88//xx16tSBVlv4q6t+/frQ6XTYsmULateuDQA4e/Ys/vzzT4+KTY0aNXDy5En19v79+3Hp0iWP83z66aeIj49HdHS0X21t1qwZ7HY71q9fj8zMzCL36dWrFyIjI7FgwQKsXLkSGzZs8OtcRBQ4HGhNRFeE0aNH48yZMxg0aBC2bt2KgwcPYtWqVRg2bBhsNhuioqIwYsQIjB8/Ht999x327NmDoUOHQqPx/Jrr2rUr5s2bh507d2Lbtm24//77Pao+d911F6pXr46bbroJGzduxKFDh7Bu3To89NBD+Pvvv71qa506dTBkyBAMHz4cy5YtU4+xZMkSdR9ZljF06FBMnDgRV111FTIyMgLzQhGR3xiKiOiKkJycjB9//BE2mw3dunVDs2bNMHbsWMTGxqrB58UXX0SHDh3Qt29fZGZmon379oXGJr388stISUlBhw4dcOedd+Kxxx7z6LaKiIjAhg0bULt2bdxyyy1o1KgRRowYgfz8fJ8qRwsWLMCtt96KBx54AA0bNsSoUaOQm5vrsc+IESNgNpsxbNiwMrwyRBQokijYuU5EVIF07twZLVu2xJw5c0LdlEI2btyIG264AceOHUNCQkKom0NU6XFMERFROTOZTDh9+jSmTp2K2267jYGIKEyw+4yIqJx9/PHHSE1Nxblz5/DCCy+EujlE5MTuMyIiIiKwUkREREQEgKGIiIiICABDEREREREAhiIiIiIiAAxFRERERAAYioiIiIgAMBQRERERAWAoIiIiIgLAUEREREQEAPh/Zgh4LNqUtK4AAAAASUVORK5CYII=", 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" ] @@ -457,17 +447,9 @@ "metadata": {}, "output_type": "display_data" }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/weinberg/venv/analysis/lib/python3.12/site-packages/IPython/core/pylabtools.py:170: UserWarning: Data has no positive values, and therefore cannot be log-scaled.\n", - " fig.canvas.print_figure(bytes_io, **kw)\n" - ] - }, { "data": { - "image/png": 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", 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AgQP59ddfHd6uJEKVkJ2lRV0q7RFq2cy92j2EypTUG9PlSb0xIUTj0bJlS15++WV27NjB9u3bGT58OOPHj+eff/5xaLtSdFUIJzuVdsGu0ikZ2sFq5gi5eJbUGyuQemNCiMZj7Nix5V6/+OKLzJ8/n7/++otu3bo5rF1JhIRwosJiC2ez8oF/zRGqZmjM4KMlQm7FGQ6OTgjRGKiqipqX55S2FXd3lCpWwFbHbDbzzTffYDKZGDhwoAMiO08SISGc6ExGHqoK7q56Ar0MVg2Nefhpu0t7mqXemBDi4tS8PA727uOUtjvv3IHi4WH1+Xv27GHgwIHk5+fj5eXF0qVLiYiIcGCEMkdICKc6mXZ+fpCiKNWW1yjl1UwrvOqrZlNYbHF0iEIIUWc6d+5MXFwcW7Zs4f7772fy5Mns27fPoW1Kj5AQTlSu6jyc7xGqZmisNBHyJ5t0UwHBvpXsQC2EECUUd3c679zhtLZtYTAY6NChAwB9+vRh27ZtvPXWW7z33nuOCA+QREgIpypbOt+s5IeFFfsI6UomSxuVItIy0iUREkJUS1EUm4an6hOLxUJBQYFD25BESAgnqtAjZMU+Qhg8KcQVA0VkpSVD6zCHxiiEEHVh5syZjB49mlatWpGdnc0XX3zB2rVrWblypUPblURICCc6VTZHyAMsFsgvmQBdzRwhFIUcvS/+5hRyM6QCvRCicUhOTmbSpEmcPXsWX19fevbsycqVK7niiisc2q4kQkI4UUJ66a7S7lCQCajaG9VtqAjkumiJUH6mJEJCiMbhww8/dEq7jX7VWEJCAkOHDiUiIoKePXvyzTffODskIQAwFRSTZioE/lVew8UdXIzVXiv1xoQQwj4afY+Qi4sLc+fOJSoqisTERPr06cOYMWPw9PR0dmiiiSudH+Tr7oqPmyukZWhvXKQ3CKDYrRlkg0USISGEqJVGnwiFhoYSGhoKQEhICIGBgaSlpUkiJJzufLHV0hVjGdqf1c0PKuVRUm8sX+qNCSFEbdT7obH169czduxYwsLCUBSFZcuWVTgnNjaWNm3a4ObmxoABA9i6dWul99qxYwdms5nw8HAHRy3ExSWU1hhrVrpi7OLlNUrpS5bQu+RLvTEhhKiNep8ImUwmIiMjiY2NrfT9JUuWEBMTw6xZs9i5cyeRkZGMGjWK5OTyk0jT0tKYNGkS77//fl2ELcRFVbmZohVDY67eJfXGiiQREkKI2qj3Q2OjR49m9OjRVb4/Z84cpk6dypQpUwBYsGABy5cv56OPPmLGjBkAFBQUMGHCBGbMmMGgQYOqvFdBQUG5jZuysrLs9CmEqOj80Ni/9hCyYmjM3bc5AJ7FUm9MCCFqo973CFWnsLCQHTt2MHLkyLJjOp2OkSNHsnnzZkCrunvHHXcwfPhwbr/99mrvN3v2bHx9fcseMoQmHOlUaY/Qv3eVtmJozLOZVnjVR80mr9DsiPCEEKJJaNCJUEpKCmazmeDg4HLHg4ODSUxMBGDTpk0sWbKEZcuWERUVRVRUFHv27Kn0fjNnziQzM7PskZCQ4PDPIJomVVXPzxGqwdBYaY+Qv5JNqsmx288LIURjVu+Hxmpr8ODBWCzWVeg2Go0YjUZiY2OJjY3FbJZ/aQvHSM8twlTSk9PC71+rxqzoEVJKJkv7kc2BnAJtZ2ohhBA2a9A9QoGBgej1epKSksodT0pKIiQkpMb3jY6OZt++fWzbtq22IQpRqdLeoGAfI26ueu1gWY+QFcvn3f0BMChmMjJkCb0QQtRUg06EDAYDffr0YfXq1WXHLBYLq1evZuDAgU6MTIjqla0Yu7Anx4rK82UMHhQobgDkpCVd5GQhhGh4Xn75ZRRFYfr06Q5tp94PjeXk5HDkyJGy1/Hx8cTFxeHv70+rVq2IiYlh8uTJ9O3bl/79+zN37lxMJlPZKrKakKEx4Wgn/z0/CCCvZAWYFUNjACa9L8bifPKzztk5OiGEcK5t27bx3nvv0bNnT4e3Ve97hLZv306vXr3o1asXADExMfTq1Yunn34agBtvvJHXX3+dp59+mqioKOLi4lixYkWFCdS2kKEx4WhlS+dLV4yBbUNjQIHBD4CibCmzIYRoPHJycrj11ltZuHAhzZpZ9/OwNup9j9DQoUNRVbXac6ZNm8a0adPqKCIhaq906XzL0h4hczEUlOxbZc3QGFBsbAa5YM6RHiEhRNVUVaW40LpFQ/bmYtChKIpN10RHR3P11VczcuRIXnjhBQdFdl69T4SEaIwqlNfIv2BjRDdfq+5hcQ+AdCBXJksLIapWXGjh/YfXOaXte94agqtRb/X5X331FTt37qzTERlJhCohc4SEI5ktKqcz/lVwtXRYzOAFeler7qPz1FaOuRRImQ0hRMOXkJDAww8/zKpVq3Bzc6uzdiURqkR0dDTR0dFkZWXh62vdv86FsFZSVj5FZhUXnUKobw0qz5dw9dY2VTRKIiSEqIaLQcc9bw1xWtvW2rFjB8nJyfTu3bvsmNlsZv369cybN4+CggL0eut7l6yO0e53FEJUq3RYLMzPHb2uZOzchvIapYw+WiLkXpyBqqo2j8MLIZoGRVFsGp5ylhEjRlSo/DBlyhS6dOnCE0884ZAkCCQRqpQMjQlHSkj/17AY2FReo5SHXxAAvmRjKjTjZZT/nYUQDZe3tzfdu3cvd8zT05OAgIAKx+2p3i+fdwZZPi8cqcJEabigR8j6odjSHqFmZJOaI/XGhBCiJuSfkELUsbJdpS/cTNHGPYQA8AgAoJmSzcmcQloHeNopQiGEqB/Wrl3r8DakR0iIOnaqZDPFlhduplg2WdrP+huVJkLkkJaTb5/ghBCiiZFESIg6tPd0JjtPasNgHYK8zr9hQ+X5Mh4ly+cVC1kZsru0EELUhCRClYiNjSUiIoJ+/fo5OxTRiBQWW3j0m90UW1RGdw8hItTn/Js1GRpzMZKv04bX8jJkd2khhKgJSYQqIZOlhSO8vfowBxKz8fc08PyE7uWXu9tSef4C+a7a+QVZyfYJUgghmhhJhISoA7sTMpi/7igAL07oTqCXsfwJNRkaAwqNWg+SOSe1lhEKIUTTJImQEA6WX2Tm0W92Y7aojI0MY3SP0EpOytD+tLFHyOJWMpSWK4mQEELUhCRCQjjY3N8Pczg5h0AvI8+N61b5STUosQGglKwc0+VJ4VUhhKgJSYSEcKCdJ9N5f702JPbStd1p5mmoeFJxIRSZtOc2Do3pvQIBMBRKvTEhhKgJSYQqIavGhD2UDolZVLiuVwuu7BZSxYkZ55/bsLM0XFBvrCgDi0WtYaRCCNF0SSJUCVk1Juzh9ZUHOXbORJC3kVljqxgSg/PDYkZf0NlWVNDd93y9saz8ohpGKoQQTZckQkI4wLbjaXy4KR6Al//TA18P16pPruFEaQAXb21orJmSTaqp0ObrhRCivnjmmWdQFKXco0uXLg5vV2qNCWFnuYXFPPbNblQVJvZpyfAuwdVfUMM9hICyMhv+ZJOaU0j75rbfQggh6otu3brx+++/l712cXF8miKJkBB29uqKgxxPzSXU142nxkZc/IIa7iEElCu8ekgq0AshKqGqKsUFzvn54GI0lt889mLnu7gQElLFfEoHkURICDvafDSVxX8eB+CV//TEx62aIbFSNSmvUaokEfLDRFpOnu3XCyEaveKCAt6efL1T2n7o429xdXOz+vzDhw8TFhaGm5sbAwcOZPbs2bRq1cqBEcocISHsxlRQzGPf7gbg5v6tuLyTleNUtRkaK0medIpKToZsqiiEaLgGDBjA4sWLWbFiBfPnzyc+Pp7LLruM7Oxsh7YrPUKViI2NJTY2FrPZ7OxQRAMy+9f9nErPo4WfO/+7uqv1F9ZmaEzvSr7eCzdzjtQbE0JUysVo5KGPv3Va29YaPXp02fOePXsyYMAAWrduzddff81dd93liPAASYQqFR0dTXR0NFlZWfj62ravi2iaNh5O4bO/TgLw2vU98TLa8L9WLVaNARQamuGWl0NxdkqNrhdCNG6Kotg0PFVf+Pn50alTJ44cOeLQdmRoTIgayis088+ZTH7afYYnvvsbgEkDWzOoQ6CNN8rQ/qzJHCGguKTemMUkiZAQovHIycnh6NGjhIZWUp/RjqRHSIhqqKpKUlYBx87lcPRcDkfPmTh6Lodj50yczig/ObmVvwdPXFWDPS9K5wjVZGgMtAnT6VJvTAjRsD366KOMHTuW1q1bc+bMGWbNmoVer+fmm292aLuSCAnxL0fP5fD5XyfZfiKNo8k5mAqrnivm5+FK++ZedAzy4t4h7fG0ZUisVC2HxvSeWg+US4HUGxNCNFynTp3i5ptvJjU1lebNmzN48GD++usvmjd37AZpkggJAZgtKqv3J/HpXyfYcLj8EJNep9DK34P2zT1p19yL9s09ad/ci3bNvfCvrIiqrWo5NOZasru0W1EGZouKXmf9nh1CCFFffPXVV05pVxIh0aSlmQr5attJPv/rZNlQl6LAiC5BXNurJZ1DvGjl74nBxYHT6Wo5NGb01f611Ixs0nMLCfSyfpWGEEI0dZIIiSZpd0IGn2w+wU9/n6Gw2AJow1w39gvntgGtCff3qJtAivLAXLLjay2HxpopWpkNSYSEEMJ6kgiJBqWg2EzcyQy2xKex7XgauYVm/D0NBHgaCPAy4O9pJMDTgH/JQztmwOiiJ7/IzPK/z/LJXyfYnZBRds8eLXyZNLA1YyPDcHO1rfp7rZUOiyk6MHjX7B6l9caUbFJNBUAN7yOEEE2QJELCIVRV5WRaLvvOZOGi19HCz52W/u7WlZy4QH6RmZ0n09lyLI2/jqWyKyGjrAfHFqX7+uQUFANg0Ou4umcokwa2Jircz6ZaOHZVOlHazQ90NRx+K603RjZ7c6QCvRBC2EISoUrUt52lVVVl/9lsvN1cCPNzt9tkWFNBMcdTTSSk5eJpdCHU151QXzebVz6pqkpCWh57Tmfy9+kM9p7OZM+pTLLyiyuc6+3mQstmHlpi1Oz8o4WfBy2buWN01bHjhJb4bIlPZXdCJoXm8olPoJeRAe38uaStP4FeRlJNhaSVPFJyCsqep5oKSTcVUmxRyxKgUF83brukNTf2C68fQ0i1Ka9R6sIeISm8KoQQNpFEqBL1bWfp99cfY/avBwBw1SuEN/OgVYAHbQI8aeXvQZtAD1r5exLu747RpfzQTmGxhYT0XOLPmYhPMXEsxUR8Sg7xKSaSsir/pelTknCF+LoR6utOmK8boX5akhTq64aLTsfeM5n8fSpTS3pOZ5KZV1ThPga9ji6h3qgqnErPJT23iOz8YvafzWL/2SyrP3+wj5EBbQO05KddAO0CPa3uwVFVlay8YlJMBeQVmukS4o2Lvh7tI1qb8hqlPPwB8FVyycjOrXVIQgjRlEgiVM8lpOXy5u+HAHDRKRSZVY6VJDRwrty5igJhvu608vfA4KLjeKqJU+l5mC1qlff39zQQ7u9BbkExiZn5ZBcUk5VfTFZiNgcSrS90V5r0dG/hS88WvnRv4UunYO9yq61MBcWczsjjdHoep9JzOZWRx6n00td5pJT0ZoT5unFJOy3xGdA2gNYBHjUeulIUBV8PV3w9bBuSqzO13EMIADc/VBQUVHKzZHdpIYSwhSRC9Ziqqjzz4z/kF1m4pJ0/n999CYlZ+ZxIMXEiLZcTqbmcSDWV/WkqNGuJxr92PPYw6Gkb6EnbQE/aBXrSpuR520BP/DzK74OTnV/E2cx87ZGRx5mSPxOz8jmTkcfZzHyKzBa6hPhoSU9LX3pUkvRUxtPoQqdgbzoFVz6ZN7/ITHZ+MYFeBufN2alrZUNjNdtDCAC9C4WuPhiLMinMPnfx84UQQpSRRKge+21fEqsPJOOqV3hhQnf0OoUWfu608HNn0L/OVVWVVFNhWVJUWGyhdYAn7Zp7EuRttDqx8HZzxdvNtcpkRVVVVBV0Dti0z81VX/ertpzNHkNjQJGxGcaiTCw50iMkhBC2kESonjIVFPPsj/8AMPWydnQIqn5JtKIoBHoZCfQy0qd1LXoXLkJRFJpKZ02dsMfQGKC6B0DOcRSpNyaEEDapR7NGxYXeXn2YM5n5tGzmzoPDOzo7HOEotSyvUUrx1FaO6fKl3pgQouE6ffo0t912GwEBAbi7u9OjRw+2b9/u0DalR6geOpiYzYcb4wF4dlw33A1NbLioKalt5fkSpfXG3Iu0fZYcWhJECCEcID09nUsvvZRhw4bx66+/0rx5cw4fPkyzZo4b5QBJhOodi0Xl/5btodiicmVEMCO6Bjs7JOFIdhoaM3hr9cb8Fa3eWLCPW+3iEkI0GqqqohbZvhGtPSiuOqvnqL7yyiuEh4ezaNGismNt27Z1VGhlJBGqZ77deYptx9Nxd9Uza1w3Z4cjHM1Ok6VLh8aaKdmk5BRIIiSEKKMWWTjz9J9OaTvsuUEoVo5q/Pjjj4waNYqJEyeybt06WrRowQMPPMDUqVMdGmONEqH4+Hg2bNjAiRMnyM3NpXnz5vTq1YuBAwfi5iY/gGsq3VTI7F/2AzB9ZEda+Lk7OSLhcGU9QrXs+i3dXRqt8KoQQjQ0x44dY/78+cTExPDkk0+ybds2HnroIQwGA5MnT3ZYuzYlQp9//jlvvfUW27dvJzg4mLCwMNzd3UlLS+Po0aO4ublx66238sQTT9C6dWtHxdxovbLiAOm5RXQO9ubOwY7vDhROpqr2KbEB4K7tLt1Myea4SRIhIcR5iquOsOf+velK3bVtLYvFQt++fXnppZcA6NWrF3v37mXBggX1IxHq1asXBoOBO+64g++++47w8PBy7xcUFLB582a++uor+vbty7vvvsvEiRPtHnBNXHvttaxdu5YRI0bw7bffOjucSu04kcZX2xIAeOHa7rheWAYiNw02zwOPQAiOgKBu4NW89o0W5UPaUUiLB58wCO4OLoaLXyfso9AElpJ6bLUcGruwR2i71BsTQlxAURSrh6ecKTQ0lIiIiHLHunbtynfffefQdq1OhF5++WVGjRpV5ftGo5GhQ4cydOhQXnzxRY4fP26P+Ozi4Ycf5s477+Tjjz92diiVKjZb+N/SvQBM7NOSfm38y5/w44Nw4OfyxzybQ3A3LSkKjoCgCGjeBQwe5c9TVTClQMqhksfh888zTgIXlN/QGyCkB4T1hha9oUUfCOhoW1X0/CxIPaI9Ug5D2jHwDoH2w6DVoIrxNWWlw2I6FzB41u5epRXolRxSpUdICNEAXXrppRw8eLDcsUOHDjl8hMnqRKg0CSouLuaLL75g1KhRBAdXvqIpICCAgIAA+0RoB0OHDmXt2rXODqNKi/88zoHEbPw8XJk5pmv5Nw+v0pIgRQ+dRkHyfkg/DqZzcGyt9iijgH87LTEy+pxPekp/4VbG6Av+bbSkKC8dTu/QHttK3jd4Q1iUlhiFlSRH3qGQceJ8spN6GFKOaH/mJFXezuZ5WqIVPkBLitoNg9BI0NXgXymFpvNt+7SAVpfQIHd5vLC8Rm3jLym86q3kkZmVU8vAhBCi7v33v/9l0KBBvPTSS9xwww1s3bqV999/n/fff9+h7do8WdrFxYX77ruP/fv3OyKeCtavX89rr73Gjh07OHv2LEuXLmXChAnlzomNjeW1114jMTGRyMhI3nnnHfr3718n8dXW2cw83lylFVWdcVUX/D0vGJoqyodfHtOeX3I/jHpRe15oguQDkPwPJO0r+fMfyE0tGeo6+q9WFPBrBYGdILBjyaOT9vBsrv0SVlVIj4fTO7XHmZ1wdjcUZsPxDdqj7HY6UKtZiukZpLUR0EFLzFKPaAlbZsL5e61+TksA2l6uJUXth0GzNufvoapasnfuYMWerMyE8u0Fd4cB90GPieDagCbr22nFWOk9LOjQYaFA6o0JIRqgfv36sXTpUmbOnMlzzz1H27ZtmTt3LrfeeqtD263RqrH+/fsTFxdXJxOiTSYTkZGR3HnnnVx33XUV3l+yZAkxMTEsWLCAAQMGMHfuXEaNGsXBgwcJCgqyqa2CggIKCs7Pr8jKyqp1/Bfz3E/7MBWa6d3Kjxv6lp93xaa5WnLiHQpDZ5w/bvCEln20RylVhZzk88lRUa6WiAR2goD24HqRFWhKSW+Sfzvocb12zFwM5w5oSdHpnVpPUfI+bV6Lixv4t4fADtrwWWDHkj87gJtvxfurKqQehWNr4OgaLRnKS4d9P2gPgGZttd6nzFMlPVmZVcfrEaDFmvQPJO2FH6fB789A3zuh313acFx9Z6c9hADQ6Sg2+mEoSKM4J7X29xNCCCe45ppruOaaa+q0zRolQg888AAxMTEkJCTQp08fPD3Lz2/o2bOnXYIDGD16NKNHj67y/Tlz5jB16lSmTJkCwIIFC1i+fDkfffQRM2bMqPK6ysyePZtnn322VvHaYs3BZH7dm4hep/DitT3KFzJNOwYb5mjPR70IxuprjaEo4B2sPdoPt0+AehcI6a49ek/SjhXlaZO3vUNtmzukKFqSFNgB+k/VkqzTO84nRqe2aUlfevwF1+jAr/UFPVmdoHlnLeEq2TeHvHTY+QlsXaj1FK1/FTa+Cd2v03rRwnrZ57twBDuV1yhldvOHgjTUXEmEhBDCWjVKhG666SYAHnroobJjiqKgqiqKomA2m+0T3UUUFhayY8cOZs6cWXZMp9MxcuRINm/ebPP9Zs6cSUxMTNnrrKysCqvj7CW/yMysH7SiqlMGtaFrqM/5N1UVfn0CzAXQbih0q9gT5jSu7uDbovb30btAqwHaY+gMbZL1iU3aUFizkuTHv/3Fh7rcm8GlD8Ml0dpcqr/mQ8Jf8PcS7dFqoDZs1uUarc1/U1Wt5ynzFGSd1pKpzFPawzcchv9fzeYxWcNO5TVKKZ4BkHkEvRReFUIIq9V4Q8X6ICUlBbPZXGHSdnBwMAcOHCh7PXLkSHbv3o3JZKJly5Z88803DBw4sML9jEYjRqPR4XEDxK45wsm0XEJ83Jh+Rafybx74GQ7/BjpXGPN6w5wIbCs3H+g8WnvUhN4Fuk3QHqd3wpYFsPc7OLlZe/iGl/RqKZB16nyyk3lamwdV5X1dYdiTNYvpYuw5NAbovbR6Y57mTPIKzVKjTgghrFCjRKihbZb4+++/23R+bGwssbGxDuvZOnouh/fWHQPg6bEReBkv+M9QaIJfS4b0Ln1IGxIStmnRG657H0Y+C9s/hO0faT09a16s+hqPAG0Fmm84+LbUjm19D9a9Ai36Qqcr7R+nPSdLAy4liVAzskk1FdBStioQQoiLqnGtsU8//ZQFCxYQHx/P5s2bad26NXPnzqVt27aMHz/enjFWKTAwEL1eT1JS+SXbSUlJhITUfLJsdHQ00dHRZGVl4etbycTfWmrubeSWAa04mZbL6O7/inP9a1qPhW8ruOxRu7fdpPiEakNblz0Ce76FQyu0pMO3ZfmHT4vK9zeyFGuJ1PdT4d712pCdPV24fN4OlNJNFZVs0kyFtGwmiZAQQlyMDbNdzyutBTJmzBgyMjLKek78/PyYO3euPeOrlsFgoE+fPqxevbrsmMViYfXq1ZUOfdUXPm6uPDOuGwsn9S1flffcIfhznvZ89Muy+aC9uLpD79vhps9hQiwMm6m9bj9M63Gr6nu+ara2d1J+Bnw9SdvOwJ7sPDRWupdQM0XqjQkhhLVqlAi98847LFy4kP/973/o9efnIfTt25c9e/bYLTiAnJwc4uLiiIuLA7T5SXFxcZw8eRKAmJgYFi5cyMcff8z+/fu5//77MZlMZavIaiI2NpaIiAj69etnj49QJf2Fq8RUFX55BCxF0HEUdB7j0LaFFVyMcMMnWh2vs3Hw6+P2vb+dh8YuLLNx9JxsqiiEENaoUSIUHx9Pr14VlyUbjUZMJlOtg7rQ9u3b6dWrV1l7MTEx9OrVi6effhqAG2+8kddff52nn36aqKgo4uLiWLFiRZW7XlsjOjqaffv2sW3btoufbC97v4P49dr+PKNfaRoTpBsCv3D4zweAAjs/hl2f2e/e9qo8X6qszEY2247LyjEhhLBGjeYItW3bttINFVesWEHXrl2ruKpmhg4diqqq1Z4zbdo0pk2bZtd261R+Fqz8n/Z8cAz4S+X5eqXDCG3l2JoXYfkjENITQu2wV5a9Ks+XuqDe2Lbj6WXbWQghhKhajRKhmJgYoqOjyc/PR1VVtm7dypdffsns2bP54IMP7B1jnXP0qrEK1s6GnERtp+RLH66bNoVtLnsUErbCkVXw9e1wz7raJTAWy/mds+02NKbNEfJHmyx99FwOHYIushGnEEI0cTUaGrv77rt55ZVX+L//+z9yc3O55ZZbmD9/Pm+99VbZZosNWZ0OjSXuhS3vac/HvNawamU1JTqdtiTfr5VW9HbpfVoyU1OF2efrtdm5R8hDKcBIIVviZXhMCNFwtGnTBkVRKjyio6Md2m6NEiGAW2+9lcOHD5OTk0NiYiKnTp3irrvusmdsjZ/Fog21qGboOg46jHR2RKI6Hv7a5Gm9EQ79CpverPm9SidKu7hdvA6ctYw+oNM6eZuRzTZJhIQQDci2bds4e/Zs2WPVqlUATJw40aHt1mho7KOPPmLYsGG0bdsWDw8PPDxkmXeN7P5SKwfh6qkt1Rb1X1gvrefup4fgjxegRR+tDIqt7FxeA9Am2HsEQE4S/ko2W+LTZJ6QEAJVVSkqKnJK266urlb/DGrevHm51y+//DLt27dnyJAhjgitTI0SodmzZzN16lRatGjBkCFDGDJkCEOHDqVDhw72js8p6mSOUG4arHpKez7k8fO7GYv6r/ckbb5Q3Gfw7V3aZou21l+z9x5CpUoSoUBdDvsy8zmVnke4v/xDRYimrKioiJdeeskpbT/55JMYDAabryssLOSzzz4jJibG4f+Yq9HQ2OHDhzl58iSzZ8/Gw8OD119/nc6dO9OyZUtuu+02e8dY5+pkjtAfz0NuKgR2hksecFw7wv4UBa5+HUJ6QG4KfDMZim3cwNDeewiV8tTKbAxrlgwgy+iFEA3SsmXLyMjI4I477nB4W4p6sbXpF5Gbm8uGDRv48ssv+fzzz1FVleLiYnvF51SlJTYyMzPx8fG5+AXWOrsb3hsCqDD5Z2h7mf3uLepOWjy8P0Rb/dX/XhjzqvXXbl8EP0+HTqPhlq/sF9O2D2F5DDmu/vTLfp3x/Try8n/ssNRfCNFg5OfnEx8fT9u2bXFzc2swQ2MXGjVqFAaDgZ9++qna8/79WUvZ8vu7RkNjv/32G2vXrmXt2rXs2rWLrl27MmTIEL799lsuv/zymtyyaQmKgCufh9SjkgQ1ZP5t4dr34csbtQKtrQZA9/9Yd62jhsZ63Q6b3sIr4wR36H9j5fEA+95fCNHgKIpSo+EpZzlx4gS///4733//fZ20V6NE6KqrrqJ58+Y88sgj/PLLL/j5+dk5LOdy+BwhvSsMetAx9xZ1q/NVWlHXDW/Ar09AhyvAzYreQ0cNjbkYtM0fl97LvS4/8fm5EZzLLqC5t9G+7QghhIMsWrSIoKAgrr766jppr0ZzhObMmcOll17Kq6++Srdu3bjlllt4//33OXTokL3jcwqnlNgQDdeQGRDQAUznYL2Vw2P2Lq9xoR4ToXkX/BQTd7ssl3lCQogGw2KxsGjRIiZPnoyLS436amxWo0Ro+vTpfP/996SkpLBixQoGDRrEihUr6N69Oy1byuon0cS4GGBUyfYHfy2AlCMXv8be5TUupNPDMK1ky136X/nnkBXxCCFEPfD7779z8uRJ7rzzzjprs8YbKqqqys6dO1m1ahUrV65kzZo1WCyWCvsACNEkdLpSGxazFMFv/7v4+Y4aGivVdSwZft3wVArocGihY9oQQgg7u/LKK1FVlU6dOtVZmzVKhMaOHUtAQAD9+/fn888/p1OnTnz88cekpKSwa9cue8coRMNw1WxtZ+dDK+Dw79Wf66jJ0qUUBYZr+1SNyf+F7OQTjmlHCCEauBolQl26dOGTTz4hNTWVHTt28MYbbzBu3LhGN2laCJsEdoQB92nPV8wAczXLVcuGxhwwR6iEX4+r2K2LwKgUkbXyRYe1I4QQDVmNEqHXXnuNa665Bl9fX3vHUy/ExsYSERFBv379nB2KaGgufww8AiH1MGytZkgqz86V5yujKGxqfT8AIce+1bZrEEIIUU6N5witW7eOsWPH0qFDBzp06MC4cePYsGGDPWNzGlk1JmrM3Q9GPK09X/symFIqnmMxQ0Hm+fMdKKj7cNaaI9GrZi0eIYQQ5dQoEfrss88YOXIkHh4ePPTQQzz00EO4u7szYsQIvvjiC3vHKETD0us2COmpJTt/PF/x/fzM888d2SME9G/jz+vFWuVmdc83kLTPoe0JIURDU6NE6MUXX+TVV19lyZIlZYnQkiVLePnll3n++Up+8AvRlOj0MPoV7fmOj+Hs3+XfL50f5OqpLb13oHB/d1K8I/jF3B8FFdbIXCEhhLhQjRKhY8eOMXbs2ArHx40bR3x8fK2DEqLBaz2opNyGqk2cvrCkn6NXjF1AURT6tfVnTvH1WNDBgZ/h9A6HtyuEEA1FjRKh8PBwVq9eXeH477//Tnh4eK2DEqJRGPksuLjDiU3wz9Lzxx29h9C/9G/rzxG1JRs9hmsH/nihTtoVQoiGoEb7Vz/yyCM89NBDxMXFMWjQIAA2bdrE4sWLeeutt+waoBANll84DJ4Oa2fDqqeh01Vg8HBseY1K9G/jD8Bz2eNZ5boO5egfcHwjtBlcJ+0LIUR9VqMeofvvv5+vvvqKPXv2MH36dKZPn87evXtZsmQJ9957r71jrHOyfF7YzaCHwDccMhPgz3e0Y44sr1GJjkFe+Hm4cqQogJRON2oHVz9ffrhOCCGaKJsTIVVVOXz4MJ06dWLt2rWkpqaSmprKxo0bGT9+vCNirHOyfF7YjcEDrnhOe77xTchIqPOhMZ1OoV9Jr9DKgNvBxQ0S/oLDq+qkfSGEsIbZbOapp56ibdu2uLu70759e55//nlUB/+jzaZEKD4+np49e9KlSxd69uxJ+/bt2b59u6NiE6Jx6HYttL4UivPg91l1Olm6VOnw2Nozeug/VTv4x/NgsdRZDEIIUZ1XXnmF+fPnM2/ePPbv388rr7zCq6++yjvvvOPQdm2aI/TYY49RXFzMZ599hpubG6+//jr33HMPO3fudFR8QjR8igJXvQzvXQ57v4PmXbXjdZkItdUSoW3H07H8Zzq67Ysh8W/Y/4OWqAkhGi1VVbFY8pzStk7njqIoVp37559/Mn78eK6++moA2rRpw5dffsnWrVsdGaJtidDGjRv59ttvGTxYm2R5ySWX0LJlS0wmE56eng4JUIhGIbQn9JkMOxbDuf3asToaGgPoFuaDh0FPZl4Rh3IMdBkYDetehjUvQZexoK/RugkhRANgseSxdl0Pp7Q9dMge9HoPq84dNGgQ77//PocOHaJTp07s3r2bjRs3MmfOHIfGaNPQWHJyMh07dix7HRoairu7O8nJyXYPTIhGZ/hTYLygPl8drRoDcNHr6NNaa29rfBoMjNbaTzkEfy+psziEEKIqM2bM4KabbqJLly64urrSq1cvpk+fzq233urQdm36Z6CiKOTk5ODu7l52TKfTkZ2dTVZWVtkxHx8f+0UoRGPhGQhDZ8DKmdrrOhwaA22e0IbDKWyNT2PSwDYw+L/asv4Nr0PULdoQnhCi0dHp3Bk6ZI/T2rbW119/zeeff84XX3xBt27diIuLY/r06YSFhTF58mSHxWhTIqSqKp06dapwrFevXmXPFUXBbDbbL0IhGpP+UyHuC214LLBznTbdr2Se0Nb4NO3/1X53a4VY047B2d0QFlWn8Qgh6oaiKFYPTznTY489VtYrBNCjRw9OnDjB7Nmz608itGbNGkfFIUTToHeFO1dAXpq24WIdigr3w6DXkZxdwInUXNoEekLHK2HfMtj3gyRCQginys3NRacrP2NHr9djcfDqVpsSoSFDhjgqDiGaDqOX9qhjbq56erb0ZfuJdLYeT9MSoYjxJYnQMhjxtAyPCSGcZuzYsbz44ou0atWKbt26sWvXLubMmcOdd97p0HatnixtMplsurGt59cnsrO0aKz6XzA8Bmg9Qi5u2vBY0j9OjEwI0dS98847XH/99TzwwAN07dqVRx99lHvvvZfnn3/eoe1anQh16NCBl19+mbNnz1Z5jqqqrFq1itGjR/P222/bJUBnkJ2lRWN1fj+hkkTI6AUdRmrP9/3gpKiEEAK8vb2ZO3cuJ06cIC8vj6NHj/LCCy9gMBgc2q7VQ2Nr167lySef5JlnniEyMpK+ffsSFhaGm5sb6enp7Nu3j82bN+Pi4sLMmTMbRc0xIRqbPq2boVPgRGouiZn5hPi6acNjB37WEqHh/3N2iEIIUaesToQ6d+7Md999x8mTJ/nmm2/YsGEDf/75J3l5eQQGBtKrVy8WLlzI6NGj0ev1joxZCFFD3m6uRIT5sPd0FluPpzEuMgw6jQK9AVIOQvIBCOri7DCFEKLO2LydbKtWrXjkkUd45JFHHBGPEMLB+rXxZ+/pLLbFlyRCbr7QfjgcWqH1CkkiJIRoQmyuPi+EaNgG/HvCNGjDYyDzhIQQTY7NidC+fft44IEH6NWrF6GhoYSGhtKrVy8eeOAB9u3b54gYhRB21K+kEv3BpGwycgu1g51Hg84Fkv+BlCNOjE4IIeqWTYnQr7/+Sq9evdi1axfjx4/n6aef5umnn2b8+PHs3r2b3r17s3LlSkfFKoSwgwAvI+2ba0WStx1P1w66N4N2Q7Xn+6VXSAjRdNg0R2jGjBk88cQTPPfccxXee+aZZ3jmmWd47LHHGDVqlN0CFELYX/+2ARw9Z2JrfCpXRARrByPGw5HfteGxy2QOoBCiabCpR+jQoUPVVoG9+eabOXz4cK2DEkI4Vv+2JZXoS3uEADpfDYpeqzuWFu+kyIQQom7ZlAi1adOG5cuXV/n+8uXLad26da2DEkI4Vv+2AQDsPZ2JqaBYO+gZAG0Ga8/3/+ikyIQQom7ZNDT23HPPccstt7B27VpGjhxJcLDWpZ6UlMTq1atZsWIFX3zxhUMCFULYTws/d1r4uXM6I49dJzMY3DFQeyNiPMSv04bHLn3YuUEKIUQdsKlHaOLEiaxbtw4PDw/eeOMNJk2axKRJk3jjjTdwd3dn7dq1/Oc//3FUrDXy888/07lzZzp27MgHH3zg7HCEqDfO1x1LPX+w61hAgdM7IOOkcwITQjRZ2dnZTJ8+ndatW+Pu7s6gQYMcXu7K5g0VBw0axKBBgxwRi90VFxcTExPDmjVr8PX1pU+fPlx77bUEBAQ4OzQhnK5/W3+W7jrNhiMpTB/ZCZ1OAa8gaH0pnNgI+3+CgdHODlMI0YTcfffd7N27l08//ZSwsDA+++wzRo4cyb59+2jRooVD2mzUGypu3bqVbt260aJFC7y8vBg9ejS//fabs8MSol64tH0gOgV2nczggc93kldo1t6QzRWFaFRUVcVkNjvloaqq1XHm5eXx3Xff8eqrr3L55ZfToUMHnnnmGTp06MD8+fMd9v3Y3CNUnf3793P11Vdz7Ngxu9xv/fr1vPbaa+zYsYOzZ8+ydOlSJkyYUO6c2NhYXnvtNRITE4mMjOSdd96hf//+AJw5c6ZcBtmiRQtOnz5tl9iEaOhaBXgw54YoHv/2b1b8k8jp9zbzweS+BHcdC78+BglbIOsM+IQ5O1QhRC3kWiy0X7/HKW0fvbwHnlbWHy0uLsZsNuPm5lbuuLu7Oxs3bnREeICde4QKCws5ceKE3e5nMpmIjIwkNja20veXLFlCTEwMs2bNYufOnURGRjJq1CiSk5Nr1F5BQQFZWVnlHkI0ZhN6teDzqQPw9zSw53QmE2I38U+OB4QP0E7Y/5NzAxRCNBne3t4MHDiQ559/njNnzmA2m/nss8/YvHkzZ8+edVi7NvUIxcTEVPv+uXPnahXMv40ePZrRo0dX+f6cOXOYOnUqU6ZMAWDBggUsX76cjz76iBkzZhAWFlauB+j06dNlvUWVmT17Ns8++6z9PoAQDUC/Nv4se+BSpizeytFzJiYu2MzSXsPpnLAF9v0IA+51dohCiFrw0Ok4enkPp7Vti08//ZQ777yTFi1aoNfr6d27NzfffDM7duxwUISgqDYM4On1eqKiovDx8an0/ZycHHbu3InZbLZbgKUURSk3NFZYWIiHhwfffvttueGyyZMnk5GRwQ8//EBxcTFdu3Zl7dq1ZZOl//zzzyonSxcUFFBQUFD2Oisri/DwcDIzM6v8zEI0Fpl5RUR/vpONR1JooaSwyfgQKgrKo4e0SdRCiAYhPz+f+Ph42rZtW2GYqaEwmUxkZWURGhrKjTfeSE5OTqX7GFb1WbOysvD19bXq97dNPUIdOnTgv//9L7fddlul78fFxdGnTx9bblljKSkpmM3msr2MSgUHB3PgwAEAXFxceOONNxg2bBgWi4XHH3+82hVjRqMRo9Ho0LiFqK983V1ZNKUfs378hy+2QJylPVG6o5j3/Yi+/93ODk8I0YR4enri6elJeno6K1eu5NVXX3VYWzb1WfXt27fa7ilFUWyaIV4Xxo0bx6FDhzhy5Aj33HOPVdfExsYSERFBv379HBydEPWLq17HixO689Q1Efxq0YaR96/+lMzcIidHJoRoClauXMmKFSuIj49n1apVDBs2jC5dupRNgXEEmxKhN954g+nTp1f5fmRkJBaLpbYxWSUwMBC9Xk9SUlK540lJSYSEhNTq3tHR0ezbt8/hmzgJUR8pisJdg9ty+fi7AOiS/zdTYn/hRKrJyZEJIRq7zMxMoqOj6dKlC5MmTWLw4MGsXLkSV1dXh7VpUyIUEhJSb2qJGQwG+vTpw+rVq8uOWSwWVq9ezcCBA50YmRCNw6X9+pEX2AMXxULHjA1MiN3E1vg0Z4clhGjEbrjhBo4ePUpBQQFnz55l3rx5+Pr6OrTNer2hYk5ODnFxccTFxQEQHx9PXFwcJ09qW//HxMSwcOFCPv74Y/bv38/999+PyWSqdReaDI0JoXHvOQGAGz12kJ5bxG0fbGHLsdTqLxJCiAbEplVjpZo1a4aiKBVvpii4ubnRoUMH7rjjjlonJGvXrmXYsGEVjk+ePJnFixcDMG/evLINFaOionj77bcZMGBArdotZcuscyEapZQjMK8Pqs6Fh1t8zY+H8xnSqTkf31n1NhRCCOdqDKvGrFXnq8ZKPf3007z44ouMHj26bF+erVu3smLFCqKjo4mPj+f++++nuLiYqVOn1qQJAIYOHXrRydfTpk1j2rRpNW5DCFGNwA4Q1A0l+R+e7nSCHw8Hs/7wORLScgn393B2dEIIUWs1SoQ2btzICy+8wH333Vfu+Hvvvcdvv/3Gd999R8+ePXn77bdrlQg5S2xsLLGxsQ7ZD0mIBidiPCT/Q+DJFQzu8Agbj6Tw9fYEHrmys7MjE0KIWqvRHKGVK1cycuTICsdHjBjBypUrARgzZozdao7VNVk1JsQFSouwHlvD7b2aAbBkWwLF5rpZISqEqJn6tp2NI9jjM9YoEfL39+ennyrWIPrpp5/w9/cHtF0hvb29axedEML5grpAYGcwFzJCt5MATwPJ2QX8caBmNf2EEI6lLylyWlhY6ORIHC83NxegVsvrazQ09tRTT3H//fezZs2asjlC27Zt45dffmHBggUArFq1iiFDhtQ4MCFEPRIxHta/isvBn7i+7//x3rpjfLn1JFd2q92eXUII+3NxccHDw4Nz587h6uqKzsZ6Xw2Bqqrk5uaSnJyMn59fWfJXEzVaNQawadMm5s2bx8GDBwHo3LkzDz74IIMGDapxMPXFhXOEDh06JKvGhEjcCwsuBb2R43ftYejb21EU2PjEcFr4uTs7OiHEvxQWFhIfH19nmxw7i5+fHyEhIRVWstuyaqzGiVBTIMvnhSihqvBOb0g7BgEd+Ss3hC3ZgXTs2osxw4ZAYEcweDo7SiHEBSwWS6MeHnN1da2yJ6hOEiGz2cyyZcvYv38/AN26dWPcuHG16p6qbyQREuICf74Dv/1f1e/7tITmnSCwk5YYBXaC0Chwk/93hBB1y+GJ0JEjRxgzZgynT5+mc2dtCe3BgwcJDw9n+fLltG/fvmaR1zOSCAnxL+kn4NxBipMP8OPqdbQwn6KXezKGgipKb3iHwbRtYPSq2ziFEE2awxOhMWPGoKoqn3/+edkqsdTUVG677TZ0Oh3Lly+vWeT1hMwREuLiZv+yn/fWH2N4lyA+uqE9pByGlIOQckh7fmIzFGTCqJdgYLSzwxVCNCEOT4Q8PT3566+/6NGjR7nju3fv5tJLLyUnJ8fWW9ZL0iMkRNWOncth+Bvr0CmwobJJ0zs/gR8fBO9QeHg3uBidE6gQosmx5fd3jdbUGY1GsrOzKxzPycnBYDDU5JZCiAamXXMvBrYLwKLC19sSKp7Q8ybwaQHZZ2H3l3UfoBBCWKFGidA111zDPffcw5YtW1BVFVVV+euvv7jvvvsYN26cvWMUQtRTNw9oBcDX2yvZadrFAIMe1J5vnAvm4roNTgghrFCjROjtt9+mffv2DBw4EDc3N9zc3Bg0aBAdOnRg7ty5dg5RCFFfjeoWTDMPV85m5rPu0LmKJ/SeBB4BkB4P/yyt+wCFEOIiapQI+fn58cMPP3Do0CG+/fZbvv32Ww4dOsTSpUvx8/Ozc4hCiPrK6KLn+j4tAfhiy8mKJxg84ZIHtOcb50Aj39xNCNHwWF1iIyYmptr316xZU/Z8zpw5NY+oHpDq80JY76b+rVi4IZ41B5M5k5FH2L8nTfe7Gza9Bcn74NAK6DLGOYEKIUQlrF41NmzYMOtuqCj88ccftQqqvpBVY0JY58b3NrMlPo3pIzsyfWSniif8/qzWI9SiD9y9Gv61Hb4QQtiTLb+/re4RurDHRwghLnTLgFZsiU9jybYEHhzeEb3uX4nOJQ/AX+/C6R0Qvx7aSUFmIUT90PhK0goh6tyobiEXTJpOrniCV3PoPVl7vuH1ug1OCCGqIYmQEKLW3Fz1/Kd36aTpSvYUAm0pvc5F6xFK2FaH0QkhRNUkERJC2MVN/bU9hf44kERiZn7FE/zCIfIm7fnGhr2gQgjReEgiJISwiw5BXvRv66/tNL29il6hS/8LKHDwF0j6p07jE0KIykgiVInY2FgiIiLo16+fs0MRokG5paRX6KutJzFbKlmQGtgBuk3Qnm98s+4CE0KIKkgiVIno6Gj27dvHtm0yj0EIW1zVPQQ/D1fOZOazvrKdpgEGl+xJtvc7SD1ad8EJIUQlJBESQthNuUnTWyvZaRogtCd0vBJUi7bRohBCOJEkQkIIu7q5fzgAfxxIrnzSNMBlj2h/xn0BWWdQVZXCYim/IYSoe1ZvqCiEENboEORN/zb+bD2exhdbT3Jjv3DOZReUeyRnezLJLZLO+bv56q3HmVVwK4VmC8+O68akgW2c/RGEEE2I1SU2miIpsSFEzSzddYr/Ltld7TmX6f7mU8PL5KpGLi14i3R88PNwZeMTw/Eyyr/RhBA1Z8vvbxkaE0LY3ejuobTy9wDAVa8Q5utGZEtfRnYN4ub+4Tw0oiNXjr2ZzGbd8FAKWHvZAdoGepKRW8Rnf51wcvRCiKZEeoSqIT1CQtRckdlCTn4xvu6u6P5de6zUvh/h69vB6MvSoSv57w/HCPQysOHx4bgb9FXfPDsRFL1WukMIIf7FIUVXhRDCFq56Hc08DdWf1OUaCOwEKYcYV/Qrc/yjSEjL44utJ7lrcFtQVchMgLO7yz9yksDVE+7bAAHt6+YDCSEaJUmEhBDOo9Np+wotuw/9lneZ0ed9fln9Fy5/fI35aDr6xL8hL73ya4tMsOppuOnzuo1ZCNGoyNBYJWJjY4mNjcVsNnPo0CEZGhPCkcxF8E5vyKhi3yGdKwR1hdDIkkcU6PTwwUhQzXDHcmgzuE5DFkLUb7YMjUkiVA2ZIyREHdn9FSy9F/RGUrw6siI1mAS3TjwyeSKG0O7gYqx4zc8xsP1DLTmaulbrXRJCCGSOkBCioYm8CTqMBDdfvCw63n51DcnZBbQ+05xbwitJggCGzoQ932hzhv5eAlE3123MQohGQf4JJYSoHzwDQe+Km6ue+4ZoE6DfXXuEInMVO057NT+/Q/Xq56DQVEeBCiEaE0mEhBD1zs39WxHoZeBUeh5Ld52u+sQB94FfK8g+A3/Oq7sAhRCNhiRCQoh6x92gZ+pl7QB4d80RiqvqFXJ1g5HPaM83zYWss3USnxCi8ZBESAhRL912SWuaebhyPDWXn/+uJsHpdh207AdFubDmhboLUAjRKEgiJISolzyNLtxd0iv0zh+HMVuqWOCqKDBqtvZ81+dw9u86ilAI0RhIIiSEqLcmDWyNj5sLR8+Z+HVvNb1C4f2g+38AFX77n7YjtRBCWEESISFEveXt5sqdg9sCMO+PI1iq6hUCGDEL9EaIXw+HVtRRhEKIhk4SISFEvTZlUFu8jC4cSMzmt31JVZ/YrDUMfEB7/ttT2o7VQghxEZIICSHqNV8PV+4Y1AbQ5gpVuxn+4BjwCITUw7B9Ud0EKIRo0JpEInTttdfSrFkzrr/+emeHIoSogTsHt8XDoOefM1msOZhc9YluPjDsSe352tlVF2wVQogSTSIRevjhh/nkk0+cHYYQoob8PQ3cfklrAN5afaT6XqHek6F5F8hLg/WvE59i4tPNx0lIy62jaIUQDUmTSISGDh2Kt7e3s8MQQtTC3Ze1w81Vx+6EDDYcTqn6RL0LaYNnAVC0eQGT31jCUz/8w52Lt1W9MSNAUT7s/R4+vwEWDofMU3b+BEKI+sjpidD69esZO3YsYWFhKIrCsmXLKpwTGxtLmzZtcHNzY8CAAWzdurXuAxVCOFVzbyO39Nd6hd5eXXGuUEZuIV9uPclN72+mz1cq68w9caWYGa5fYXTRcTg5h292/Cu5UVVI2Ao/TYc3OsG3U+DwSji9A5Y/KsvwhWgCnF593mQyERkZyZ133sl1111X4f0lS5YQExPDggULGDBgAHPnzmXUqFEcPHiQoKAgAKKioiguLq5w7W+//UZYWJjVsRQUFFBQUFD2OisrqwafSAjhKPcOacdnW06w/UQ6m4+lEhXux6p9Sfy0+wzrDp2jyHw+cVkWdD+XpUYzRrcFtX8e0RuNvPHbIcZFhuGZdxb+/gp2fwWpR8434NMSIsbD1vfh0K9w4GfoOtYJn1QIUVecngiNHj2a0aNHV/n+nDlzmDp1KlOmTAFgwYIFLF++nI8++ogZM2YAEBcXZ5dYZs+ezbPPPmuXewkh7C/Yx42b+oXzyeYT/HdJHFl5xeQVmcve7xrqw7jIMMZGhtKymQf8tAV2LGb0mXfo4v8YERmrSH13Np6ZO4CSpMnVA7qOg6hboM1loNOBwQPWvwa/PA7thoJRhtaFaKycnghVp7CwkB07djBz5syyYzqdjpEjR7J582a7tzdz5kxiYmLKXmdlZREeHm73doQQNXffkPZ8ufUkSVla723rAA/GRYYxLjKMjsH/SliG/Q/2fIvuzE5+0U1CZyiCzJL32lwGkTdDxLiKic5lj8CebyE9Hv54EUa/7PgPJoRwinqdCKWkpGA2mwkODi53PDg4mAMHDlh9n5EjR7J7925MJhMtW7bkm2++YeDAgRXOMxqNGI3GWscthHCcMD933rm5F3tOZ3JFRAiRLX1RFKXyk72C4LIYWP0cOksRZ/WhfJF/KYXdJjLzlquqbsTVHa6ZA59eC1vfg8ibICzKIZ9HCOFc9ToRspfff//dpvNjY2OJjY3FbDZf/GQhRJ27qnsoV3UPte7kS6drc3+ateas2ol35m9G2WNmwtksuob6VH1d++HQ/XrY+y38PB3uXg06vT3CF0LUI05fNVadwMBA9Ho9SUnlt9VPSkoiJCTEYe1GR0ezb98+tm3b5rA2hBB1RKeHyBuh1SX0bu3P1T1DUVV46Zf9F7921Etg9IUzu2DbB46PVQhR5+p1ImQwGOjTpw+rV68uO2axWFi9enWlQ1tCCHExT4zqgqteYcPhFNYdOlf9yd7BMFLbk4jVz0PWGccHKISoU05PhHJycoiLiytb+RUfH09cXBwnT54EICYmhoULF/Lxxx+zf/9+7r//fkwmU9kqMkeIjY0lIiKCfv36OawNIYRztArwYPLANgC8tHw/5uoq2gP0mQIt+0FhNvz6hOMDFELUKUWtdq96x1u7di3Dhg2rcHzy5MksXrwYgHnz5vHaa6+RmJhIVFQUb7/9NgMGDHB4bFlZWfj6+pKZmYmPTzVzCYQQDUpGbiFDXltLZl4Rr/ynBzf2a1X9BYl74b3LQTXDLV9Dp1F1E6gQokZs+f3t9ESoPpNESIjG64MNx3hh+X6CvI2seXQonsaLrB357Sn4823wbQXRf4HBs24CFULYzJbf304fGquPZGhMiMbv9oGtaeXvQXJ2AQs3HLv4BUNnaElQ5klYK/sKCdFYSCJUCVk1JkTjZ3TR88RVXQB4b90xkrPyq7/A4AljXtOeb47VhstsUZQHWxfCD9MgO7EGEQshHEESISFEkzWmRwi9WvmRV2RmzqpDF7+g81Va7THVDD9PJ7egkO92nOJgYnbV1+Slw7rX4M3u8MujsOtT+H4qWCz2+yBCiBqTREgI0WQpisL/Xd0VgK+3J3Ag0YpCy1e9gmrwglPbmPvK/3jkm93c9P5m0k2F5c/LPA0r/wdzusGaFyA3BfxagYs7xK+HbQsd8ImEELaSRKgSMkdIiKajT2t/xvQIwaLC7F+qL92TX2Tmwz2FvF58AwDR5s9ormSQnlvEKytKrj13EJY9AG9FwuZ5UGSC4O5w3Qfw4C644jntvFWzIOWIIz+aEMIKsmqsGrJqTIim4XiKiSveXEeRWeWTO/tzeafm5d7PLzLz1daTvLv2KMnZBeiw8Iv7LLqoR0lpM5a+B26mt3KIjzpuwu/kqvMXth4Mg6dDh5FQWg/NYoFPJ0D8OmjRF+5cCfomUe1IiDojy+ftRBIhIZqO537ax0eb4ukS4s3yhy5Dr1MoKDbz9bYEYtccJbFkMnULP3ceHN6B/4Sl4PrhCFAtJLh1Jjz/IAAqCkqXq2Hwf6Fl38obyzwF7w6EgiwY/hRc/mhdfUwhmgRJhOxEEiEhmo50UyFDXltDVn4xL17bHVWFd9cc4UymlgCF+boRPbwDE/uEY3ApmVXw6xOwZQEARej5rvgy9IMfZuJVwy/eYNwXsOx+0LnCPWsgpIejPpoQTY4kQnYiiZAQTcvC9cd48V/FWIN9jEwb1oEb+oVjdPlX9fmCbFgxAzwC+ME4lod/ScbToOf3R4YQ6utefWOqCktugwM/Q1A3LRlyMdr5EwnRNMmGirUkk6WFaJomDWpNuL+WwDT3NvLM2AjWPTaM2we2qZgEARi9YXwsXPEcYwf3pXcrP0yFZp77ad/FG1MUuGYueARC8j+wdrZ9P4wQwirSI1QN6RESoulJSMvl71OZjOgahJtrJclPNfafzeKadzZitqgsmtKPYZ2DrLjoJ61nSNHBlBXQyvF1FIVo7KRHSAghaijc34Ore4banAQBdA31YcqgNgDM+uEf8ovMVlw0FnreBKoFlt0HhSab2xVC1JwkQkIIYUfTr+hEiI8bJ9NyeXeNlfsEjX4FfFpA2jFY9XTNGk4+AJvfhdy0ml0vRBMliZAQQtiRl9GFWWMjAFiw7hjHzuVc/CJ3Pxg/T3u+7QM4+of1DSbtg2/ugHcvgZUztWE2c7HNcQvRVEkiVAmZLC2EqI2ruocwtHNzCs0WnvphL1ZNxWw/HPrdrT1fFg15GSRm5lcs3VEqcS98PQnmD4R/lgIq6A1wYhOsf9Vun0WIxk4mS1dDJksLIWrqRKqJK99cT0GxhbduimJ8VIuLX1RoggWDIe0YO/1GcX3SZIK83fj14cto5mnQzjm7G9a9qi27LxUxHi5/HJL3w/d3AwpM/hHaXu6QzyZEfSeTpYUQwslaB3gSPawDAC8s309WftFFrynUufND26cwqwq9M1ZyhbKNxKx8Zv34D5zZBV/eDO9dXpIEKdDtOrh/M9zwCYR0h54ToddtgArfTYWcc479kEI0ApIICSGEg9w7pB3tAj05l13AGysPVnmeqqqs2pfElW+u4+FNRt43XwPAW16LGabfzfh9/4X3h8LBX7Rl9j0mwgN/wcRFEBxR/majX4XAzpCTqK1Cs1gc+AmFaPgkERJCCAcxuuh5fkJ3AD796wR7TmVWOOdgYja3f7iVqZ9s53hqLoFeRppf8yxqUARuhekscn2FEfpdmNFREDERorfCfz6AoC6VN2rwhImLwcUNjvwOm99x4CcUouGTREgIIRzo0g6BjIsMw6LC/5btwWzRpmWmmQr5v2V7GP3WejYeScGg13H/0PasfWwo11/SHuXa90BvRFX0/OY6nBEFr/G4JRoCO1680eAIuOpl7fnq5yBhmwM/oRANm0yWroZMlhZC2ENydj4jXl9HdkExT18TgQq89fshsvK1Ze6ju4cwc3RXWgV4lL8w/QToXNid5cm1727CosJ7t/dhVLeQizeqqvDtFG1FmV8ruHeDtkxfiCZAJkvXkiyfF0LYU5C3G4+O6gzAcz/v4/mf95GVX0zXUB++nHoJ82/rUzEJAmjWGnxbEBnux71D2gPwv6V7ycitYkn9hRQFxr4FzdpAxkn48UEtOaopixW7ZAvRAEkiVIno6Gj27dvHtm3SnSyEsI/bLmlNjxa+AAR6GXj5uh78/OBgBrYPsOr66SM70jHIi5ScAp758R/rGnXzhesXgc4V9v8I2z+0PfDM0/DDNHghGFbNsv16Ieo5GRqrhgyNCSHsKTWngLUHz3FFt2B83Fxtvj4uIYPrSobI3r+9D1daM0QGsDkWVj4JeiNMXQ0hPS5+TW4abHwTtr4Pxfnnj4+bB71vtzl2IeqSDI0JIUQ9FOBl5D99WtYoCQKICvfjnstLhsiWWTlEBnDJA9DpKjAXwDdToKCash9FeVoC9HYU/Pm2lgS1vhT6TNHeXx4DCVtrFL8Q9ZEkQkII0YBMH9mRDkFenMsu4Nmf9ll3kaLA+HfBOwxSD5P3QwxPLt3Dk0v3UGQu2WfIXAw7Poa3e8Pvz0B+JgR1g1u+gTuWw9VzoOtYMBdq9cyyzjjsMwpRlyQREkKIBsTNVc9r1/dEp8DSXadZtS/Jugs9Ayi+biEWdLjvW0Lets/5YstJ3vztIOz/SatZ9tNDkH0GfFvBte/BfRug05VaIqXTwYQFEBQBOUnw1a1a75EQDZwkQkII0cD0atWMqZe3A+DJpXusGiL782gKo5eaebPoOgBeMixigm4jIzffpvXwpBwCd38YNRse3A6RN4FOX/4mRi+46QtwbwZndsJPD9duJZoQ9YAkQkII0QD9d2Qn2jfXync8V80QWWJmPg9+uYtbFm7hcHIOXxonkhQwAHfymWt4l966I+RhJG9gDDwcBwMfABdj1Q37t4WJH4Oih7+XaBOxhWjAJBESQogGyM1Vz2sTI9Ep8P2u0/z+ryGyIrOF99cfZcQba/lp9xl0Ckwa2JrVj44g+I5PwCsEVefCD66juTx/Dg8mjkE1Wrk6tt0QuGq29nzVU3Bkdc0/iKpC0j4ozK35PYSoBUmEhBCigerdqhlTLzs/RJaZq1W4//NICqPf2sBLvxzAVGimdys/fpw2mOfGd8fXwxW8QyD6L5SYA3Sc8j6Z+gB+35/MJ5tPWN94/3u0SveqRdvBOvWo7R/g7N/wyXhtftIHI7UJ2kLUMdlHqBKxsbHExsZiNps5dOiQ7CMkhKi38ovMjHl7A8fOmRjdPQS9TuHnv88CEOBpYMboLvynd0t0OqXKeyzaFM+zP+3D4KLjh+hL6Rpq5c+74gJYfDWc2qZVvL/7d3Cz4trM07DmRYj7ArjgV1DbIXDrt+BisK59Iapgyz5CkghVQzZUFEI0BDtPpnP9/D8pqeeKToHbL2lNzJWd8XW/+J5Fqqpy18fb+eNAMh2CvPhp2mDcDfqLXgdAdiK8PxSyz0Kn0dpkal0Vgw0F2bDpLfhzHhSXrDjrfj30uB6+uxsKcyDyZpgwX1upJkQNyYaKQgjRhPRu1YwHhnYAoE/rZvz04GCeHd/dqiQIQFEUXru+J0HeRo4k5/D8civ3JwJtmO3Gz7Vdqw/9CmtfqniOuRi2L9L2KFr/mpYEtRoId/8B138InUefn4C9+0tYO9v69oWoJekRqob0CAkhGpIzGXmE+LhVOwxWnU1HUrjtwy2oKiy4rTdXdQ+1/uK4L2HZfQDMbfY/fijqz+I7+tI67U9tQvW5A9p5/u3giuegyzUVe312fKztZQRSykPUivQICSFEExTm517jJAjg0g6B3FtSwuPxb//mdIb1GybmRkxkS8jNANyT9jrd01aRtmAMfDFRS4Lc/WH0q/DAFm2H6sqGvvpMhssf057/9HDtVqMJYSVJhIQQQpR55MpORIb7kZVfzH+/isNsufigwer9SVwxZz23HB/DenMPPJQC3jHMo1fxbooVVxj0EDy0Cwbce/GJ0MP+Bz1vAtUMX0+GxD21+0AZJyE/q3b3EI2aJEJCCCHKuOp1vH1TFF5GF7YeT2PeH0eqPPdsZh73frqduz7ezumMPEL8vFD/8yEEaPOVfjIPZGj+6yxpNhXc/awLQFFg3DvQ5jIozIbPb9BWmdkq9ahWYHZuD5g/qGb3EE2CzBGqhswREkI0Vct2nWb6kjh0Ciy5dyD92viXvVdstrD4z+O8ueoQpkIzLjqFuy5ry8MjOuJhcNGq2+emEhtXxGsrD2Jw0fH9/YPo3sLX+gDyMuCjq+Dcfq34652/gpsV12cnwfpXYcdisBSfPx4UAVN+0cqDiEZP5ggJIYSolQm9WnBdrxZYVJj+VVzZZo1xCRmMm7eJF5bvx1Ropk/rZvz80GBmju6qJUGg1SRr1pr7h7RnRJcgCost3P/5jrJ7WMXdD279BrxCIPkf+HoSFFdTUy0/E/54Ad6Ogm0faElQh5Fwy9cl99gHX94ihWJFBdIjVA3pERJCNGU5BcVc8/YGjqfmcmVEMME+bny25QSqCr7urswc3YUb+oZXO0E7M7eIq9/ZwKn0PEZ2DeL92/vaNqH77G5YNKZkj6FbYMK75SdaF+XD9g9h/euQl6Yda9EHRj4LbS/TXifuhUWjoSBLW612wycVC8qKRkU2VLQTSYSEEE3d7oQM/jP/T4ovmDR9Xa8WPHl1VwK9qinOeoG9pzO5bv6fFBZbePyqzmV7Hlnt8Cr44kZQzRQNfpwzvabTupmbVvR1zUuQmaCdF9ARRjxd+aq0+A3w2XVgLoS+d8LVc2TTxkZMEiE7kURICCHggw3HeGH5fto19+SFCd0Z1D7Q5nt8ufUkM7/fg06Bz+4eYPs9dizWltQDC4qv4Sa/A/jllEzk9g6DoTMg6lbQu1R9j3+WwTd3AKq2Om3I4zZ/DtEwSCJ0gYSEBG6//XaSk5NxcXHhqaeeYuLEiVZdK4mQEEJoTqSaCPV1x+BSs6mlqqry6Dd/893OUwR6Gfj5wcsI8XWz6tozGXnM+vEfeh56hwddlpUdLzb44jLkEa0ArKu7dYFsXQi/PKo9H/u2tndRTeWlg6KzbhK3qFOSCF3g7NmzJCUlERUVRWJiIn369OHQoUN4enpe9FpJhIQQwn7yCs1c++4mDiRm07d1M7685xJc9VUnVmaLysd/HueN3w6WrE6Db8O/ofO531hUOIKvDdfx2YOjaNnMw7ZAVj8PG17XkpgbP4cuY2y7PusMbHxT66Vy84U7V0JAe9vuIRxKVo1dIDQ0lKioKABCQkIIDAwkLS3NuUEJIUQT5G7Qs+C2PngbXdh+Ip1Xfj1Q5bl7T2dy7bubeO7nfWWr0355+HKi7l8MT5xkedA9HM81cM8nO8gtLK7yPpUa/n/Q6zZQLfDtFDi5xbrrss7AL4/BW5Gw9X1tvpHpnDb3KOecbTGIesPpidD69esZO3YsYWFhKIrCsmXLKpwTGxtLmzZtcHNzY8CAAWzdurVGbe3YsQOz2Ux4eHgtoxZCCFETbQI9eW1iJAAfbIznlz1ny71vKijmhZ/3MW7eRv4+lYm3mwsvXduDb+4dSKdgbwDcjS68P6kvAZ4G9p3N4rFv/samwQ1FgWvegk5XQXE+fHEDJFedlJF1Fn55HN6KOp8AtRoIN34GzdpA+nHtHoUm274MUS84PREymUxERkYSGxtb6ftLliwhJiaGWbNmsXPnTiIjIxk1ahTJycll50RFRdG9e/cKjzNnzpSdk5aWxqRJk3j//fcd/pmEEEJU7aruIdx7eTtAq2l27FwOoJXquPLN9XywMR6LCmMjw1j9yBBuGdCqwpL7Fn7uzL+tD656heV7zvLu2qO2BaF3gesXQct+kJ8Bn/2n4u7TWWfh1ydKeoDeA3OBlgBN+hGm/KqtTrv1O62O2pmd2kRss429U8Lp6tUcIUVRWLp0KRMmTCg7NmDAAPr168e8efMAsFgshIeH8+CDDzJjxgyr7ltQUMAVV1zB1KlTuf32qqsZFxQUUFBQUPY6KyuL8PBwmSMkhBB2Vmy2cMsHW9gan0bnYG/aB3nyy55EAFo2c+f5Cd0Z1jnoovf5YstJnly6B0WBhbf3ZWREsG2B5KbBh1dC6mEszbtwYtx3tPHVo2x6C3Ys0nqMAMIvgWEzoe2QisvuE7bBx2OhOA96T4axb8nSfCdrNHOECgsL2bFjByNHjiw7ptPpGDlyJJs3b7bqHqqqcscddzB8+PBqkyCA2bNn4+vrW/aQITQhhHAMF72OeTf3ItDLyMGkbH7Zk4hep3DvkHas+u8Qq5IggFsGtOK2S1qhqjB9SRyHk7JtC8TDH27/nkL3YHTnDqAuHEHxm5GwZb6WBIVfApN+gDtXQLuhlSc44f3g+o+0ydc7P4b1r9kWg3Cqep0IpaSkYDabCQ4un+EHBweTmJho1T02bdrEkiVLWLZsGVFRUURFRbFnT+XVjGfOnElmZmbZIyEhodafQQghROWCfNyIvaUX3kYXerfy4+cHtVId7gbbdn2eNbYbA9r6k1NQzN2fbCcjt5pSHP+SZirk0VXpjM34L1mqB+10ibiqBZzzi4Lbl1WfAF2oyxgYU5IArXkRdn1m02copyAb1r0Kv/2ftnO2cKhqdp5qHAYPHozFYrHqXKPRiNFoJDY2ltjYWMxms4OjE0KIpm1AuwB2PX0FLtUso78YV72Od2/tzbh5mziRmsuDX+5i0R39qr2nqqp8s+MUs3/ZT3puEYrSis87zeXSjJ949XR3Nif34CNzd4bYMsTV725tntHGOfDjQ+AdotU7s5bFDHFfwB/PQ06Sdiz5gDYp29W6PZeE7ep1j1BgYCB6vZ6kpKRyx5OSkggJCXFYu9HR0ezbt49t27Y5rA0hhBCa2iRBpQK8jCyc1Bd3Vz0bDqcwu5ql+UeSs7nx/b94/Nu/Sc8tokuIN9/dP4j7b72RHg98SlDUVZgtEP35Tg4kZtkWyIinoadWDoQlk+BMnHXXHd8I7w+FH6dpSVCztuDqAUdWwZLbpGfIgep1ImQwGOjTpw+rV68uO2axWFi9ejUDBw50YmRCCCHqm4gwH964QVua/+HGeL7dcarc+/lFZt747SCj39rA1vg03F31PDmmCz89OJjerZoB2qKd2df1KBtqu2vxdpKzbEhCFAXGzdOG04pM8PlEbXl9VdKOaYnO4qsh8W8w+sKolyB6K9zyNbi4SzLkYE5PhHJycoiLiyMuLg6A+Ph44uLiOHnyJAAxMTEsXLiQjz/+mP3793P//fdjMpmYMmWKw2KKjY0lIiKCfv36OawNIYQQ9jemRygPDdeKuj75/R52nUwHYMPhc4yau553/jhCkVllRJcgVsVczj2Xt6+wu7XRRc97t/ehXaAnpzPyuPuT7bZt2uhigBs+heDuYEqGz67XVqddKD8TfnsKYgfA/p9A0WtDaw/tgoHR2j3aXga3fiPJkIM5ffn82rVrGTZsWIXjkydPZvHixQDMmzeP1157jcTERKKionj77bcZMGCAw2OTEhtCCNHwWCwq9362g1X7kgjyNtK/rT8//61t3Bji48Yz4yIY1S0E5SLzf06kmpgQu4n03CKujAhm/m190OtsmDOUdRY+GAlZp8hu3oeXm7/CzQPb0z1pGfzxIuSmaOe1H671AgV1rfw+8Ru0nqXiPOhwhX3mDJmLqy9Q28BJrTE7kURICCEappyCYq57dxOHkrTNGnUKTB7Uhkeu7IyX0foEYPvxNG5ZuIVCs4Wpl7Xlf1dH2BRHSvxuPD4dg4clh/XmHoToM+mENuJBYCe48kXoeMXFV6XZIxlSVTiwHNbOhowEuPFTaDfEtns0EJII1dKFq8YOHTokiZAQQjRAJ1JNTPpoKwGeBp4d150eLWtWJf6HuNM8/FUcAM9P6M7tl7S+6DVFZguLNx1n7u+H6Fa0l08NszEq2vBaJl5Yhsyg2eX3gd7V+kBqmgypKhxepS3rPxt3/rirB9z2PbRufHNuJRGyE+kREkKIhk1V1YsOgVnjndWHeWPVIXQKfHhHv2o3fNx8NJWnf9jL4WStNyoq3I+5PU8Svn02P+b15JmssfgHBvPNfQMJ9DLaFogtyZCqwrG1WgJ0qmQVtKsnXHKftprt6GoweMOkZdCyr21x1HOSCNmJJEJCCCFAS6ge/eZvvtt5Ck+Dnm/vH0TX0PK/FxIz83nxl/38tFurc+nvaeCJqzozsU94Wa20xMx8/jP/T05n5NG9hQ9fTr0EbzcbeoXAumToxJ/aPKQTG7XXLm7QfypcOh08A6EoT7vH8Q3aSrXJP0JYVA2+mfpJEiE7kURICCFEqcJiC5M+2sJfx9II9XVjWfSlBPu4UVhsYdGmeN5efRhToRlFgdsGtOaRKzvh52GocJ9j53KYuGAzqaZCBrYLYNGUfri52rabdpXJ0Knt8McLcGyNdp7eAH2mwGUx2gaP5T6QSSs2e3KzVjj2jp8huFsNv536RRKhWpI5QkIIISqTmVvEtfM3ceycie4tfPjvyE689Mt+jp4zAdCrlR/Pj+9O9xbVz0facyqTmxf+RU5BMVd1CyH21t62rUgDiN+A+vlElOI8tiqR+Pt60yGjpAdI5wK9boPLHwPfllXfIz8LPp0Ap3eAZ3O44xdo3sm2OOohSYTsRHqEhBBC/NuJVBPXvvsnaabzNc0CPA08MboL1/duWTYMdjF/Hk3hjo+2UWi2cFO/cGZf18Om+UybjqTw/fdf8YLpWdwVLRYLOpSom1Aufxz821p3o7x0+HictqGjVwhM+QUC2lsdR5msM7DpLTi9E8a8CmG9bL+HnUgiZCeSCAkhhKjMjhNp3LxwC8VmC7df0pqYKzrj62HjXB9gxd6zPPD5TiwqPDC0PY9f1eWi15zOyOOl5ftZvkfbG+lKj0O86PIhf+aF81bxdVw7cigPjuhoWyCmVPj4GkjeBz4ttWSo2cVXxwEl9dXehJ2fgLlAO+YRAFNWOK13SRIhO5FESAghRFVOpuaiotI6wLNW9/ly60lmfr8HgP+7uit3X9au0vMKis18sCGeeX8cIa/IjE6BSQPb8N8rOuHr7srC9cd48Zf9F71PlXKSYdEYSD0Mfq1hyq/g26Lq8zMStARo16dgLukdazUQinLh7G7waQF3rgS/cNvisANJhOxEEiEhhBB1IXbNEV5beRCANyZG8p8+5ef1rDmQzLM//cPx1FwA+rfx59nx3SqsXHt79WHmrDoEwAsTunObFXselZN1RkuG0uPBv73WM/TvSdYZJ2HDHNj1GViKtGOtB8PQJ6DNZVo5kUWjIeUgBHTQeoa8mtsWRy1JIlRLMllaCCFEXVJVlReW7+fDjfHodQoLJ/VheJdgTqbm8tzP//D7/mQAgryN/O/qroyLDKt0PpGqqryy4iAL1h0F4PWJkVzfp5rJ0pXJSNCSocyTmAM6s7hTLF3bt2VQQA5seAPivgBLSe21NpfB0BnQZnD5e2Seho9GQWYChPTUVqS51WxDy5qQRMhOpEdICCFEXbFYVB79Zjff7zqN0UXHDX3DWbI9gcJiCy46hTsHt+WhER0vWiJEVVWe/Wkfi/88jk6Bt2/uxTU9w2yKpejcUQo/uArPgmT2W1qxR23H9S4b0aklCVDbIVoC1HpQ1TdJOQKLrgLTOWh9Kdz2Hbi62xRHTUkiZCeSCAkhhKhLRWYL9366gz8OJJcdu7RDAM+O60aHIG+r72OxqMz8fg9LtifgolNYcFsfRkYEW3Xt+kPneP7nfZjPHWKJ4XmaK5ll750LGkTza2ZBq0usC+Tsblh8DRRkQafRWn0zW8qK1JAtv791Do9GCCGEEFZx1euIvaU3I7oE0a65J+/e2pvP7hpgUxIEoNMpvHRdD8ZHhVFsUXng851sOHyu2mviU0zc/fE2Jn20lcPJOaS7t2bLZYuwBEWw3+sSrit4hgEJ0/ghzYbJz6GRcMsSbWfrQ7/CD9Fgsdj0WRxNeoSqIT1CQgghGrJis4XoL3ay8p8k3Fx1fDylPwPaBZQ7Jyu/iHl/HGHRpniKzCouOoVJA9vw8IiOZVsCWCwqM77/m6+3n0KnwJwbopjQq5oVZf92aCV8dYs2t6j/vTD6FbBDDbiqSI9QLcXGxhIREUG/fv2cHYoQQghRYy56HW/f3IuhnZuTX2ThzsXbiEvIAMBsUVmy7STDX1/L++uPUWRWGdKpOSumX87TYyPK7Yuk0ym8fF1PbuoXjkWFmK/j+H7nKesD6TQKJszXnm99D9a9gsWismzXaT7dfNx+H7gGpEeoGtIjJIQQojHILzIzZdE2Nh9LxcfNhaeuiWDxn8f550wWAO0CPXnqmgiGdQmq9j4Wi8r/lu3ly60nURR47XobV6VteR9+fQyABR738HLaUDwMetY+NpQgb7eLXGw9W35/Vz/1XAghhBANnpurng8m9+X2D7ew82QGj337NwDebi48PKIjkwa2weBy8UEinU7hxQnd0Snw+ZaTPPbtblRVZWJf6+YN7W91E/t993Bd5ifcl/s+x40GwodOwdvo+AnUVZFESAghhGgCPI0uLJrSn0kfbuHv05nc3L8Vj1zRiQAvo0330ekUXpjQHZ2i8OlfJ3j8u79RVbihX9XJ0JmMPOasOsR3O0+hqqPIdE1min4Fs3XzUcIGg6FDbT9ejcnQWDVkaEwIIURjU2y2kJVfjL+noVb3UVWVZ378h483nwDg5et6cFP/VuXOycwrYv7aoyzaFE9BsbZa7OqeoTx2RUfabHgU/v5KW1F23yYItF8yJENjQgghhKiUi15X6yQIQFEUnhnXDUVRWPzncWZ8vweLCrcMaEVBsZlPN59g3pojZORqZTj6t/XnyTFdiQr3024wfp62v1Bwt5pVu7cTSYSEEEIIUSOKojBrbAQ6ReGjTfE8uXQPh5Ky+X1/EqfS8wDoGOTFjNFdGN4lqHxZEL0r3PAp6J2bikgiVIkLa40JIYQQomqKovDUNV3RKfDBxngW/3kc0OqixVzRiev7tMRFX8VEbCcnQSBzhKolc4SEEEII66iqypurDvHtjlPcMqAVdw5ui4fBOYmO1BqzE0mEhBBCiIZHdpYWQgghhLCCJEJCCCGEaLIkERJCCCFEkyWJkBBCCCGaLEmEhBBCCNFkSSIkhBBCiCZLEiEhhBBCNFmSCFUiNjaWiIgI+vXr5+xQhBBCCOFAsqFiNWRDRSGEEKLhkQ0VhRBCCCGsIImQEEIIIZosSYSEEEII0WRJIiSEEEKIJksSISGEEEI0WS7ODqA+K11Ql5WV5eRIhBBCCGGt0t/b1iyMl0SoGtnZ2QCEh4c7ORIhhBBC2Co7OxtfX99qz5F9hKphsVg4c+YM3t7eKIpi13tnZWURHh5OQkKC7FFUB+T7rlvyfdct+b7rlnzfdasm37eqqmRnZxMWFoZOV/0sIOkRqoZOp6Nly5YObcPHx0f+R6pD8n3XLfm+65Z833VLvu+6Zev3fbGeoFIyWVoIIYQQTZYkQkIIIYRosiQRchKj0cisWbMwGo3ODqVJkO+7bsn3Xbfk+65b8n3XLUd/3zJZWgghhBBNlvQICSGEEKLJkkRICCGEEE2WJEJCCCGEaLIkERJCCCFEkyWJkAPFxsbSpk0b3NzcGDBgAFu3bq32/G+++YYuXbrg5uZGjx49+OWXX+oo0sbBlu978eLFKIpS7uHm5laH0TZs69evZ+zYsYSFhaEoCsuWLbvoNWvXrqV3794YjUY6dOjA4sWLHR5nY2Hr97127doKf78VRSExMbFuAm7AZs+eTb9+/fD29iYoKIgJEyZw8ODBi14nP79rpibft71/fksi5CBLliwhJiaGWbNmsXPnTiIjIxk1ahTJycmVnv/nn39y8803c9ddd7Fr1y4mTJjAhAkT2Lt3bx1H3jDZ+n2Dtkvp2bNnyx4nTpyow4gbNpPJRGRkJLGxsVadHx8fz9VXX82wYcOIi4tj+vTp3H333axcudLBkTYOtn7fpQ4ePFju73hQUJCDImw81q1bR3R0NH/99RerVq2iqKiIK6+8EpPJVOU18vO75mryfYOdf36rwiH69++vRkdHl702m81qWFiYOnv27ErPv+GGG9Srr7663LEBAwao9957r0PjbCxs/b4XLVqk+vr61lF0jRugLl26tNpzHn/8cbVbt27ljt14443qqFGjHBhZ42TN971mzRoVUNPT0+skpsYsOTlZBdR169ZVeY78/LYfa75ve//8lh4hBygsLGTHjh2MHDmy7JhOp2PkyJFs3ry50ms2b95c7nyAUaNGVXm+OK8m3zdATk4OrVu3Jjw8nPHjx/PPP//URbhNkvz9do6oqChCQ0O54oor2LRpk7PDaZAyMzMB8Pf3r/Ic+fttP9Z832Dfn9+SCDlASkoKZrOZ4ODgcseDg4OrHKNPTEy06XxxXk2+786dO/PRRx/xww8/8Nlnn2GxWBg0aBCnTp2qi5CbnKr+fmdlZZGXl+ekqBqv0NBQFixYwHfffcd3331HeHg4Q4cOZefOnc4OrUGxWCxMnz6dSy+9lO7du1d5nvz8tg9rv297//yW6vOiSRo4cCADBw4sez1o0CC6du3Ke++9x/PPP+/EyISovc6dO9O5c+ey14MGDeLo0aO8+eabfPrpp06MrGGJjo5m7969bNy40dmhNAnWft/2/vktPUIOEBgYiF6vJykpqdzxpKQkQkJCKr0mJCTEpvPFeTX5vv/N1dWVXr16ceTIEUeE2ORV9ffbx8cHd3d3J0XVtPTv31/+fttg2rRp/Pzzz6xZs4aWLVtWe678/K49W77vf6vtz29JhBzAYDDQp08fVq9eXXbMYrGwevXqclnshQYOHFjufIBVq1ZVeb44rybf97+ZzWb27NlDaGioo8Js0uTvt/PFxcXJ328rqKrKtGnTWLp0KX/88Qdt27a96DXy97vmavJ9/1utf37bbdq1KOerr75SjUajunjxYnXfvn3qPffco/r5+amJiYmqqqrq7bffrs6YMaPs/E2bNqkuLi7q66+/ru7fv1+dNWuW6urqqu7Zs8dZH6FBsfX7fvbZZ9WVK1eqR48eVXfs2KHedNNNqpubm/rPP/846yM0KNnZ2equXbvUXbt2qYA6Z84cddeuXeqJEydUVVXVGTNmqLfffnvZ+ceOHVM9PDzUxx57TN2/f78aGxur6vV6dcWKFc76CA2Krd/3m2++qS5btkw9fPiwumfPHvXhhx9WdTqd+vvvvzvrIzQY999/v+rr66uuXbtWPXv2bNkjNze37Bz5+W0/Nfm+7f3zWxIhB3rnnXfUVq1aqQaDQe3fv7/6119/lb03ZMgQdfLkyeXO//rrr9VOnTqpBoNB7datm7p8+fI6jrhhs+X7nj59etm5wcHB6pgxY9SdO3c6IeqGqXR59r8fpd/x5MmT1SFDhlS4JioqSjUYDGq7du3URYsW1XncDZWt3/crr7yitm/fXnVzc1P9/f3VoUOHqn/88Ydzgm9gKvuegXJ/X+Xnt/3U5Pu2989vpSQQIYQQQogmR+YICSGEEKLJkkRICCGEEE2WJEJCCCGEaLIkERJCCCFEkyWJkBBCCCGaLEmEhBBCCNFkSSIkhBBCiCZLEiEhhBBCNFmSCAkhhBCiyZJESAhR5+644w4URanwkOroQoi65uLsAIQQTdNVV13FokWLyh1r3rx5udeFhYUYDIa6DEsI0cRIj5AQwimMRiMhISHlHiNGjGDatGlMnz6dwMBARo0aBcDevXsZPXo0Xl5eBAcHc/vtt5OSklJ2L5PJxKRJk/Dy8iI0NJQ33niDoUOHMn369LJzFEVh2bJl5WLw8/Nj8eLFZa8TEhK44YYb8PPzw9/fn/Hjx3P8+PGy9++44w4mTJjA66+/TmhoKAEBAURHR1NUVFR2TkFBAU888QTh4eEYjUY6dOjAhx9+iKqqdOjQgddff71cDHFxcdIbJoQTSSIkhKhXPv74YwwGA5s2bWLBggVkZGQwfPhwevXqxfbt21mxYgVJSUnccMMNZdc89thjrFu3jh9++IHffvuNtWvXsnPnTpvaLSoqYtSoUXh7e7NhwwY2bdqEl5cXV111FYWFhWXnrVmzhqNHj7JmzRo+/vhjFi9eXC6ZmjRpEl9++SVvv/02+/fv57333sPLywtFUbjzzjsr9IItWrSIyy+/nA4dOtTsCxNC1E6N69YLIUQNTZ48WdXr9aqnp2fZ4/rrr1eHDBmi9urVq9y5zz//vHrllVeWO5aQkKAC6sGDB9Xs7GzVYDCoX3/9ddn7qampqru7u/rwww+XHQPUpUuXlruPr6+vumjRIlVVVfXTTz9VO3furFoslrL3CwoKVHd3d3XlypVlcbdu3VotLi4uO2fixInqjTfeqKqqqh48eFAF1FWrVlX6uU+fPq3q9Xp1y5YtqqqqamFhoRoYGKguXrzYim9NCOEIMkdICOEUw4YNY/78+WWvPT09ufnmm+nTp0+583bv3s2aNWvw8vKqcI+jR4+Sl5dHYWEhAwYMKDvu7+9P586dbYpn9+7dHDlyBG9v73LH8/PzOXr0aNnrbt26odfry16HhoayZ88eQBvm0uv1DBkypNI2wsLCuPrqq/noo4/o378/P/30EwUFBUycONGmWIUQ9iOJkBDCKTw9PSsdDvL09Cz3Oicnh7Fjx/LKK69UODc0NNTquTWKoqCqarljF87tycnJoU+fPnz++ecVrr1wErerq2uF+1osFgDc3d0vGsfdd9/N7bffzptvvsmiRYu48cYb8fDwsOozCCHsTxIhIUS91rt3b7777jvatGmDi0vFH1nt27fH1dWVLVu20KpVKwDS09M5dOhQuZ6Z5s2bc/bs2bLXhw8fJjc3t1w7S5YsISgoCB8fnxrF2qNHDywWC+vWrWPkyJGVnjNmzBg8PT2ZP38+K1asYP369TVqSwhhHzJZWghRr0VHR5OWlsbNN9/Mtm3bOHr0KCtXrmTKlCmYzWa8vLy46667eOyxx/jjjz/Yu3cvd9xxBzpd+R9vw4cPZ968eezatYvt27dz3333levdufXWWwkMDGT8+PFs2LCB+Ph41q5dy0MPPcSpU6esirVNmzZMnjyZO++8k2XLlpXd4+uvvy47R6/Xc8cddzBz5kw6duzIwIED7fNFCSFqRBIhIUS9FhYWxqZNmzCbzVx55ZX06NGD6dOn4+fnV5bsvPbaa1x22WWMHTuWkSNHMnjw4Apzjd544w3Cw8O57LLLuOWWW3j00UfLDUl5eHiwfv16WrVqxXXXXUfXrl256667yM/Pt6mHaP78+Vx//fU88MADdOnShalTp2Iymcqdc9ddd1FYWMiUKVNq8c0IIexBUf89aC6EEI3A0KFDiYqKYu7cuc4OpYINGzYwYsQIEhISCA4OdnY4QjRpMkdICCHqSEFBAefOneOZZ55h4sSJkgQJUQ/I0JgQQtSRL7/8ktatW5ORkcGrr77q7HCEEMjQmBBCCCGaMOkREkIIIUSTJYmQEEIIIZosSYSEEEII0WRJIiSEEEKIJksSISGEEEI0WZIICSGEEKLJkkRICCGEEE2WJEJCCCGEaLL+H+XXfBsMdpK/AAAAAElFTkSuQmCC", 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", 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", 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", "text/plain": [ "
" ] @@ -509,19 +481,10 @@ "plt.legend()\n", "plt.show()\n", "\n", - "for i in range(2, 8):\n", - " plt.semilogy(freq, power[:,i], label=str(i))\n", + "for i in range(power.shape[1]):\n", + " plt.semilogy(freq[0:40], power[0:40,i], label=str(i))\n", "plt.xlabel('Frequency')\n", - "plt.ylabel('Power')\n", - "plt.title('Power contributions from PC 2, 3, 4, 5, 6, 7')\n", - "plt.legend()\n", - "plt.show()\n", - "\n", - "for i in range(8, 10):\n", - " plt.semilogy(freq, power[:,i], label=str(i))\n", - "plt.xlabel('Frequency')\n", - "plt.ylabel('Power')\n", - "plt.title('Power contributions from PC 8, 9')\n", + "plt.ylabel('log10(Power)')\n", "plt.legend()\n", "plt.show()\n", "\n", @@ -542,6 +505,20 @@ "source": [ "This shows the power contribution to the data column 0 from each PC. It's all PC 0, 1, of course, at the same frequency ($f=1$) as the PC itself. The remaining PCs contain the random fields; these have a flat power spectrum expected for pure white noise." ] + }, + { + "cell_type": "markdown", + "id": "399c2737-ecbd-4d00-bd25-a68016118af1", + "metadata": {}, + "source": [ + "***\n", + "\n", + "## Where do you want to go next?\n", + "\n", + "- [Return to Table of Contents](../README.ipynb)\n", + "- [Back to previous notebook](cosine%20single%20channel.ipynb)\n", + "- [Go to next notebook](pyEXP%20coefficients.ipynb)\n" + ] } ], "metadata": { diff --git a/Tutorials/mSSA/cosine single channel.ipynb b/Tutorials/mSSA/cosine single channel.ipynb index 6d74692..5c2eca5 100644 --- a/Tutorials/mSSA/cosine single channel.ipynb +++ b/Tutorials/mSSA/cosine single channel.ipynb @@ -20,8 +20,8 @@ "import numpy as np\n", "f = open('Test.dat','w')\n", "omega = 0.75\n", - "for i in range(0,10000):\n", - " T = 0.01*i\n", + "for i in range(0, 1000):\n", + " T = 0.1*i\n", " phi = omega*T\n", " R = np.exp(-0.05*T)*np.cos(phi)\n", " print(T, R,file=f)\n", @@ -46,8 +46,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "Trajectory is true\n", - "---- Eigen is using 20 threads\n" + "---- Eigen is using 8 threads\n", + "shape U = 500 x 500\n", + "shape Y = 501 x 500\n" ] }, { @@ -57,14 +58,6 @@ "---- Coefs::factory: error opening as HDF5, trying EXP native and ascii table\n", "---- Coefs::factory: read ascii and created TableData\n" ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "shape U = 5000 x 5000\n", - "shape Y = 5001 x 5000\n" - ] } ], "source": [ @@ -109,7 +102,7 @@ "outputs": [ { "data": { - "image/png": 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sSgAAEEEhBaHbb79dP/nJTyRJBQUF+uijj/Tss89q+/btmjNnTlgL3LBhg6ZOnarMzEy5XC6tXr26Qx+Px6OsrCwlJSUpLy9PlZWVYa0BAAB0TyEFoX379gV8Pvfcc3Xddddp1KhRYSnqq1pbW5WdnS2PxxN0/6pVq1RWVqYFCxZo27Ztys7OVmFhoQ4dOvStj9XW1qbm5uaADQAAdF8hBaGsrCxNmDBBy5Yt02effRbumgJMmTJFCxcu1LRp04LuX7x4sUpKSlRcXCy3262lS5cqOTlZy5cv/9bHWrRokVJTU/3bkCFDOls+AACIYSEFoS1btig3N1e/+MUvNHDgQF177bV64YUX1NbWFu76Tqu9vV1bt25VQUGBvy0uLk4FBQXavHnztx5v3rx5ampq8m9fP/MFAAC6l5CC0OjRo/XQQw9p7969eu2113TOOefo5ptvVnp6um666aZw1/iNjhw5Iq/Xq/T09ID29PR01dfX+z8XFBToH//xH/Xqq69q8ODB3xiSEhMTlZKSErABAIDuK6QgdIrL5dKkSZO0bNkyvfnmmzrvvPP029/+Nly1hc2bb76pw4cP6/PPP9enn36q/Px8p0sCAAAxoFNB6NNPP9WDDz6onJwc5ebmqnfv3t+4qDkS+vfvr/j4eDU0NAS0NzQ0KCMjI+RxPR6P3G63xo0b19kSAQBADAspCD3xxBOaMGGCsrKytHLlSk2fPl179uzRxo0bNXPmzHDX+I0SEhI0ZswYVVRU+Nt8Pp8qKio6ddantLRUtbW1qqqqCkeZAAAgRoX0rrGFCxfq+uuv16OPPqrs7Oxw1xSgpaVFu3fv9n+uq6tTdXW1+vXrp6FDh6qsrExFRUUaO3ascnNztWTJErW2tqq4uDiidQEAgK4vpCC0d+9euaL0aOQtW7Zo0qRJ/s9lZWWSpKKiIq1YsULTp0/X4cOHNX/+fNXX1ysnJ0fl5eUdFlADAAB8XUhByOVyqbGxUZWVlTp06JB8Pl/A/h/96EdhKU768vUY5m+8kGv27NmaPXt22I7p8Xjk8Xjk9XrDNiYAAIg9LvO3UkYQa9as0YwZM9TS0qKUlJSAs0Mul8v/Nvqurrm5WampqWpqagr7rfRjF67VkZZ2vX7beI3IiK33oAEA0JV9m7/fIS2WvuOOO3TTTTeppaVFjY2N+uyzz/xbdwlBAACg+wspCO3fv18/+clPlJycHO56AAAAoiakIFRYWKgtW7aEuxYAAICoCmmx9NVXX6277rpLtbW1uvjii9WzZ8+A/ddcc01YinNKNBdLG33rJVoAACBMQlosHRf3zSeSXC5Xt7nbKrKLpd/UkZY2ld92hS7M4J1mAACEy7f5+x3SGaGv3y4PAADQFXXqXWOSdPz48XDUAQAAEHUhBSGv16tf/vKXGjRokHr37q0///nPkqR77rlHv/nNb8JaIAAAQKSEFITuu+8+rVixQg8++KASEhL87SNHjtRTTz0VtuIAAAAiKaQgtHLlSj355JOaMWOG4uPj/e3Z2dn66KOPwlacUzwej9xut8aNG+d0KQAAIIJCfqDi8OHDO7T7fD6dOHGi00U5rbS0VLW1taqqqnK6FAAAEEEhBSG3262NGzd2aH/hhRc0evToThcFAAAQDSHdPj9//nwVFRVp//798vl8eumll7Rr1y6tXLlSr7zySrhrBAAAiIiQzgj94Ac/0Jo1a/Tmm2/qrLPO0vz58/Xhhx9qzZo1+ru/+7tw1wgAABARIZ0RkqQrrrhCa9euDWctAAAAUdXpByp2R9w1BgCAHUI6I9S3b1+5XK4O7S6XS0lJSRo+fLh+/OMfq7i4uNMFOqG0tFSlpaX+d5UAAIDuKeTF0vfdd5+mTJmi3NxcSVJlZaXKy8tVWlqquro6zZo1SydPnlRJSUlYCwYAAAiXkILQpk2btHDhQs2cOTOg/YknntAbb7yhF198UaNGjdKjjz5KEAIAADErpDVCr7/+ugoKCjq0T548Wa+//rok6aqrrvK/gwwAACAWhRSE+vXrpzVr1nRoX7Nmjfr16ydJam1tVZ8+fTpXHQAAQASFdGnsnnvu0axZs7R+/Xr/GqGqqiq9+uqrWrp0qSRp7dq1mjBhQvgq7aaMcboCAADsFVIQKikpkdvt1mOPPaaXXnpJkjRixAi9/fbbuvTSSyVJd9xxR/iq7IaC3HQHAACiLOQHKl522WW67LLLwllLzPB4PPJ4PPJ6vU6XAgAAIuiMg1Bzc7NSUlL8P5/OqX5dFc8RAgDADmcchPr27auDBw9qwIABSktLC/pARWOMXC4XZ1IAAECXcMZBaN26df47wtavXx+xggAAAKLljG+fnzBhgnr06OH/OS4uTsuWLdPcuXM1fPhwTZgwQXv37lV8fHzEigUAAAinkJ4j9OKLL6qwsFC9evXS9u3b1dbWJklqamrS/fffH9YCAQAAIiWkILRw4UItXbpUy5YtU8+ePf3tl112mbZt2xa24gAAACIppCC0a9cujR8/vkN7amqqGhsbO1sTAABAVIQUhDIyMrR79+4O7Zs2bdKwYcM6XRQAAEA0hBSESkpKNGfOHL333ntyuVw6cOCAnnnmGd15552aNWtWuGsEAACIiJCeLD137lz5fD5NnjxZn3/+ucaPH6/ExETdeeeduvXWW8NdY9TxZGkAAOzgMib01362t7dr9+7damlpkdvtVu/evcNZm+NOPVm6qakp7E/LHnffmzp8rE2vzblC3xnYtZ/EDQBALPk2f79DfteYJCUkJMjtdndmCAAAAMeEtEYIAACgOyAIAQAAaxGEAACAtQhCDgt9qToAAOgsgpBDXE4XAAAACEIAAMBeBCEAAGAtghAAALAWQQgAAFiLIAQAAKxFEAIAANYiCAEAAGsRhILweDxyu90aN26c06UAAIAIIggFUVpaqtraWlVVVTldCgAAiCCCEAAAsBZBCAAAWIsgBAAArEUQAgAA1iIIAQAAaxGEAACAtQhCDjMyTpcAAIC1CEIOcbmcrgAAABCEAACAtQhCAADAWgQhAABgLYIQAACwFkEIAABYiyAEAACsRRACAADWIggBAABrEYQAAIC1un0QeuWVVzRixAidf/75euqpp5wuBwAAxJAeThcQSSdPnlRZWZnWr1+v1NRUjRkzRtOmTdPZZ5/tdGkAACAGdOszQpWVlbrooos0aNAg9e7dW1OmTNEbb7zhdFkAACBGxHQQ2rBhg6ZOnarMzEy5XC6tXr26Qx+Px6OsrCwlJSUpLy9PlZWV/n0HDhzQoEGD/J8HDRqk/fv3R6N0AADQBcR0EGptbVV2drY8Hk/Q/atWrVJZWZkWLFigbdu2KTs7W4WFhTp06FBIx2tra1Nzc3PABgAAuq+YDkJTpkzRwoULNW3atKD7Fy9erJKSEhUXF8vtdmvp0qVKTk7W8uXLJUmZmZkBZ4D279+vzMzMbzzeokWLlJqa6t+GDBkS3i8EAABiSkwHodNpb2/X1q1bVVBQ4G+Li4tTQUGBNm/eLEnKzc1VTU2N9u/fr5aWFr322msqLCz8xjHnzZunpqYm/7Zv376Ifw8AAOCcLnvX2JEjR+T1epWenh7Qnp6ero8++kiS1KNHDz388MOaNGmSfD6f7r777tPeMZaYmKjExMSI1v11xkT1cAAA4Cu6bBA6U9dcc42uueYap8vowCWX0yUAAGC9LntprH///oqPj1dDQ0NAe0NDgzIyMjo1tsfjkdvt1rhx4zo1DgAAiG1dNgglJCRozJgxqqio8Lf5fD5VVFQoPz+/U2OXlpaqtrZWVVVVnS0TAADEsJi+NNbS0qLdu3f7P9fV1am6ulr9+vXT0KFDVVZWpqKiIo0dO1a5ublasmSJWltbVVxc7GDVAACgq4jpILRlyxZNmjTJ/7msrEySVFRUpBUrVmj69Ok6fPiw5s+fr/r6euXk5Ki8vLzDAmoAAIBgYjoITZw4UeZv3FY1e/ZszZ49O6zH9Xg88ng88nq9YR0XAADEli67RiiSWCMEAIAdCEIAAMBaBCEAAGAtghAAALAWQSgIHqgIAIAdCEJBsFgaAAA7EIQAAIC1CEIAAMBaBCEAAGAtghAAALAWQSgI7hoDAMAOBKEgonHXmMsVsaEBAMAZIggBAABrEYQAAIC1CEIAAMBaBCEAAGAtglAQ3DUGAIAdCEJB8K4xAADsQBACAADWIggBAABrEYQAAIC1CEIAAMBaBCEAAGAtghAAALAWQSgIniMEAIAdCEJB8BwhAADsQBACAADWIggBAABrEYQcZozTFQAAYC+CkENcThcAAAAIQgAAwF4EIQAAYC2CEAAAsBZBCAAAWIsgFARPlgYAwA4EoSB4sjQAAHYgCAEAAGsRhAAAgLUIQgAAwFoEIQAAYC2CEAAAsBZBCAAAWIsgBAAArEUQAgAA1iIIAQAAaxGEAACAtQhCDjMyTpcAAIC1CEIOcblcTpcAAID1CEIAAMBaBKEgPB6P3G63xo0b53QpAAAggghCQZSWlqq2tlZVVVVOlwIAACKIIAQAAKxFEAIAANYiCAEAAGsRhAAAgLUIQgAAwFoEIQAAYC2CEAAAsBZBCAAAWIsgBAAArEUQAgAA1iIIAQAAaxGEAACAtQhCDjPG6QoAALAXQQgAAFiLIAQAAKxFEAIAANYiCAEAAGtZEYSmTZumvn376oc//KHTpQAAgBhiRRCaM2eOVq5c6XQZAAAgxlgRhCZOnKg+ffo4XQYAAIgxjgehDRs2aOrUqcrMzJTL5dLq1as79PF4PMrKylJSUpLy8vJUWVkZ/UIBAEC308PpAlpbW5Wdna2bbrpJ1113XYf9q1atUllZmZYuXaq8vDwtWbJEhYWF2rVrlwYMGCBJysnJ0cmTJzv87htvvKHMzMwzrqWtrU1tbW3+z83NzSF8IwAA0FU4HoSmTJmiKVOmfOP+xYsXq6SkRMXFxZKkpUuX6o9//KOWL1+uuXPnSpKqq6vDUsuiRYv085//PCxjAQCA2Of4pbHTaW9v19atW1VQUOBvi4uLU0FBgTZv3hz2482bN09NTU3+bd++fWE/BgAAiB2OnxE6nSNHjsjr9So9PT2gPT09XR999NEZj1NQUKAdO3aotbVVgwcP1vPPP6/8/PwO/RITE5WYmNjpugEAQNcQ00EoXN58802nSwAAADEopi+N9e/fX/Hx8WpoaAhob2hoUEZGRsSO6/F45Ha7NW7cuIiM7/UZtZ3wSpJ27m+S18cr6AEAcEJMB6GEhASNGTNGFRUV/jafz6eKioqgl7bCpbS0VLW1taqqqgr72OU1B3X5r9bpSGu7JOnfVtfo8l+tU3nNwbAfCwAAnJ7jl8ZaWlq0e/du/+e6ujpVV1erX79+Gjp0qMrKylRUVKSxY8cqNzdXS5YsUWtrq/8usq6kvOagZv33Nn39/E9903HN+u9tevyGS/T9kQMdqQ0AABs5HoS2bNmiSZMm+T+XlZVJkoqKirRixQpNnz5dhw8f1vz581VfX6+cnByVl5d3WEAd67w+o5+vqe0QgiTJSHJJ+vmaWv2dO0Pxca4oVwcAgJ1cxhgWqHyNx+ORx+OR1+vVxx9/rKamJqWkpHRqzM17/qrrl737N/v9ruS7yv9/Z3fqWAAA2Ky5uVmpqaln9Pc7ptcIOSUSa4QOHTse1n4AAKDzCEJRMqBPUlj7AQCAziMIRUnuef00MDVJ37T6xyVpYGqScs/rF82yAACwGkEoSuLjXFow1S1JHcLQqc8LprpZKA0AQBQRhIKI1AMVvz9yoB6/4RJlpAZe/spITeLWeQAAHMBdY6fxbVadfxten1He/W/qSEu7fnntSP1z7lDOBAEAECbcNRbj4uNcSuoZL0m6eFAqIQgAAIcQhAAAgLUIQgAAwFoEIQAAYC2CUBCRumsMAADEFoJQEJF4xQYAAIg9BCEAAGAtghAAALAWQQgAAFiLIAQAAKzVw+kCYpHH45HH49HJkyclffmo7nA7ebxVvrbjOtbcpOZm8igAAOFy6u/2mbxFjHeNncann36qIUOGOF0GAAAIwb59+zR48ODT9iEInYbP59OBAwfUp08fuVzhfR9Yc3OzhgwZon379oX1ha4IxDxHB/McPcx1dDDP0RGpeTbG6NixY8rMzFRc3OmvunBp7DTi4uL+ZpLsrJSUFP4jiwLmOTqY5+hhrqODeY6OSMxzamrqGfVjcQoAALAWQQgAAFiLIOSQxMRELViwQImJiU6X0q0xz9HBPEcPcx0dzHN0xMI8s1gaAABYizNCAADAWgQhAABgLYIQAACwFkEIAABYiyDkEI/Ho6ysLCUlJSkvL0+VlZVOlxSzNmzYoKlTpyozM1Mul0urV68O2G+M0fz58zVw4ED16tVLBQUF+tOf/hTQ5+jRo5oxY4ZSUlKUlpamf/mXf1FLS0tAn/fff19XXHGFkpKSNGTIED344IOR/moxZdGiRRo3bpz69OmjAQMG6Nprr9WuXbsC+hw/flylpaU6++yz1bt3b/3DP/yDGhoaAvrs3btXV199tZKTkzVgwADddddd/vf2nfLWW2/pkksuUWJiooYPH64VK1ZE+uvFjMcff1yjRo3yP0AuPz9fr732mn8/cxwZDzzwgFwul2677TZ/G3MdHvfee69cLlfAduGFF/r3x/w8G0Tdc889ZxISEszy5cvNBx98YEpKSkxaWpppaGhwurSY9Oqrr5qf/exn5qWXXjKSzMsvvxyw/4EHHjCpqalm9erVZseOHeaaa64x5513nvniiy/8fb7//e+b7Oxs8+6775qNGzea4cOHm+uvv96/v6mpyaSnp5sZM2aYmpoa87vf/c706tXLPPHEE9H6mo4rLCw0Tz/9tKmpqTHV1dXmqquuMkOHDjUtLS3+PjNnzjRDhgwxFRUVZsuWLea73/2uufTSS/37T548aUaOHGkKCgrM9u3bzauvvmr69+9v5s2b5+/z5z//2SQnJ5uysjJTW1trfv3rX5v4+HhTXl4e1e/rlD/84Q/mj3/8o/n444/Nrl27zL/+67+anj17mpqaGmMMcxwJlZWVJisry4waNcrMmTPH385ch8eCBQvMRRddZA4ePOjfDh8+7N8f6/NMEHJAbm6uKS0t9X/2er0mMzPTLFq0yMGquoavByGfz2cyMjLMQw895G9rbGw0iYmJ5ne/+50xxpja2lojyVRVVfn7vPbaa8blcpn9+/cbY4z5z//8T9O3b1/T1tbm7/PTn/7UjBgxIsLfKHYdOnTISDJvv/22MebLee3Zs6d5/vnn/X0+/PBDI8ls3rzZGPNlaI2LizP19fX+Po8//rhJSUnxz+3dd99tLrroooBjTZ8+3RQWFkb6K8Wsvn37mqeeeoo5joBjx46Z888/36xdu9ZMmDDBH4SY6/BZsGCByc7ODrqvK8wzl8airL29XVu3blVBQYG/LS4uTgUFBdq8ebODlXVNdXV1qq+vD5jP1NRU5eXl+edz8+bNSktL09ixY/19CgoKFBcXp/fee8/fZ/z48UpISPD3KSws1K5du/TZZ59F6dvElqamJklSv379JElbt27ViRMnAub6wgsv1NChQwPm+uKLL1Z6erq/T2FhoZqbm/XBBx/4+3x1jFN9bPz37/V69dxzz6m1tVX5+fnMcQSUlpbq6quv7jAfzHV4/elPf1JmZqaGDRumGTNmaO/evZK6xjwThKLsyJEj8nq9Af+DS1J6errq6+sdqqrrOjVnp5vP+vp6DRgwIGB/jx491K9fv4A+wcb46jFs4vP5dNttt+myyy7TyJEjJX05DwkJCUpLSwvo+/W5/lvz+E19mpub9cUXX0Ti68ScnTt3qnfv3kpMTNTMmTP18ssvy+12M8dh9txzz2nbtm1atGhRh33Mdfjk5eVpxYoVKi8v1+OPP666ujpdccUVOnbsWJeYZ94+D6CD0tJS1dTUaNOmTU6X0i2NGDFC1dXVampq0gsvvKCioiK9/fbbTpfVrezbt09z5szR2rVrlZSU5HQ53dqUKVP8P48aNUp5eXk699xz9fvf/169evVysLIzwxmhKOvfv7/i4+M7rJhvaGhQRkaGQ1V1Xafm7HTzmZGRoUOHDgXsP3nypI4ePRrQJ9gYXz2GLWbPnq1XXnlF69ev1+DBg/3tGRkZam9vV2NjY0D/r8/135rHb+qTkpLSJf5PMxwSEhI0fPhwjRkzRosWLVJ2drb+4z/+gzkOo61bt+rQoUO65JJL1KNHD/Xo0UNvv/22Hn30UfXo0UPp6enMdYSkpaXpggsu0O7du7vEv2mCUJQlJCRozJgxqqio8Lf5fD5VVFQoPz/fwcq6pvPOO08ZGRkB89nc3Kz33nvPP5/5+flqbGzU1q1b/X3WrVsnn8+nvLw8f58NGzboxIkT/j5r167ViBEj1Ldv3yh9G2cZYzR79my9/PLLWrdunc4777yA/WPGjFHPnj0D5nrXrl3au3dvwFzv3LkzIHiuXbtWKSkpcrvd/j5fHeNUH5v//ft8PrW1tTHHYTR58mTt3LlT1dXV/m3s2LGaMWOG/2fmOjJaWlq0Z88eDRw4sGv8m+70cmt8a88995xJTEw0K1asMLW1tebmm282aWlpASvm8X+OHTtmtm/fbrZv324kmcWLF5vt27ebTz75xBjz5e3zaWlp5n/+53/M+++/b37wgx8EvX1+9OjR5r333jObNm0y559/fsDt842NjSY9Pd3ceOONpqamxjz33HMmOTnZqtvnZ82aZVJTU81bb70VcBvs559/7u8zc+ZMM3ToULNu3TqzZcsWk5+fb/Lz8/37T90Ge+WVV5rq6mpTXl5uzjnnnKC3wd51113mww8/NB6Px6rbjefOnWvefvttU1dXZ95//30zd+5c43K5zBtvvGGMYY4j6at3jRnDXIfLHXfcYd566y1TV1dn3nnnHVNQUGD69+9vDh06ZIyJ/XkmCDnk17/+tRk6dKhJSEgwubm55t1333W6pJi1fv16I6nDVlRUZIz58hb6e+65x6Snp5vExEQzefJks2vXroAx/vrXv5rrr7/e9O7d26SkpJji4mJz7NixgD47duwwl19+uUlMTDSDBg0yDzzwQLS+YkwINseSzNNPP+3v88UXX5hbbrnF9O3b1yQnJ5tp06aZgwcPBozzl7/8xUyZMsX06tXL9O/f39xxxx3mxIkTAX3Wr19vcnJyTEJCghk2bFjAMbq7m266yZx77rkmISHBnHPOOWby5Mn+EGQMcxxJXw9CzHV4TJ8+3QwcONAkJCSYQYMGmenTp5vdu3f798f6PLuMMabz55UAAAC6HtYIAQAAaxGEAACAtQhCAADAWgQhAABgLYIQAACwFkEIAABYiyAEAACsRRACAADWIggB6JImTpyo2267LeTf/8tf/iKXy6Xq6uqw1QSg6+nhdAEAEIqXXnpJPXv2dLoMAF0cQQhAl9SvXz+nSwDQDXBpDECX9NVLY1lZWbr//vt10003qU+fPho6dKiefPLJgP6VlZUaPXq0kpKSNHbsWG3fvr3DmDU1NZoyZYp69+6t9PR03XjjjTpy5Igk6a233lJCQoI2btzo7//ggw9qwIABamhoiNwXBRBRBCEA3cLDDz/sDzi33HKLZs2apV27dkmSWlpa9Pd///dyu93aunWr7r33Xt15550Bv9/Y2Kjvfe97Gj16tLZs2aLy8nI1NDTon/7pnyT9X/C68cYb1dTUpO3bt+uee+7RU089pfT09Kh/XwDhwaUxAN3CVVddpVtuuUWS9NOf/lSPPPKI1q9frxEjRujZZ5+Vz+fTb37zGyUlJemiiy7Sp59+qlmzZvl//7HHHtPo0aN1//33+9uWL1+uIUOG6OOPP9YFF1yghQsXau3atbr55ptVU1OjoqIiXXPNNVH/rgDChyAEoFsYNWqU/2eXy6WMjAwdOnRIkvThhx9q1KhRSkpK8vfJz88P+P0dO3Zo/fr16t27d4ex9+zZowsuuEAJCQl65plnNGrUKJ177rl65JFHIvRtAEQLQQhAt/D1O8hcLpd8Pt8Z/35LS4umTp2qX/3qVx32DRw40P/z//7v/0qSjh49qqNHj+qss84KsWIAsYA1QgC6ve985zt6//33dfz4cX/bu+++G9Dnkksu0QcffKCsrCwNHz48YDsVdvbs2aPbb79dy5YtU15enoqKir5V2AIQewhCALq9f/7nf5bL5VJJSYlqa2v16quv6t///d8D+pSWluro0aO6/vrrVVVVpT179uj1119XcXGxvF6vvF6vbrjhBhUWFqq4uFhPP/203n//fT388MMOfSsA4UAQAtDt9e7dW2vWrNHOnTs1evRo/exnP+twCSwzM1PvvPOOvF6vrrzySl188cW67bbblJaWpri4ON1333365JNP9MQTT0j68nLZk08+qX/7t3/Tjh07nPhaAMLAZYwxThcBAADgBM4IAQAAaxGEAACAtQhCAADAWgQhAABgLYIQAACwFkEIAABYiyAEAACsRRACAADWIggBAABrEYQAAIC1CEIAAMBa/x/zq+/Y3JtFzwAAAABJRU5ErkJggg==", + "image/png": 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", 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" ] @@ -143,7 +136,7 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -179,7 +172,7 @@ "outputs": [ { "data": { - "image/png": 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uNjwi2RSXmWAQ7AtG1k2SHEVuUYZzZtZvI6LWb+vWrZg5cyauv/561NTUYO7cubjllltw9OhR6PXy9pa3qrvbiNqLimLp5gMrlFBqQ2sP2JOkcMGIg+xJIqI2YPPmzS7PV61ahaioKOzfvx833nijTFFJmCQR+SFH3TazKhQhijr3VziH28pQaGKSREQNE0URFTUVslw7UBXY4iVKSkulqQbh4eGeDKlFmCQR+SFH3bZKdThc7rWsM3G72FTp+8CIqNWoqKlA0uokWa69+4+7oQvQNft1NpsNs2fPxg033IB+/fp5IbLmYZJE5I/KLwMALNpI1/066V9WKsGGijKuuk1EbcvMmTNx5MgRbN++Xe5QADBJIvJLqnKpNpuo+1WSpNKgJiAIqmoTrKbLMkRGRK1FoCoQu/+4W7ZrN9esWbPw6aefYtu2bejUqZMXomo+JklEfkjjrNvWod4xqzYCqmoThPJCX4dFRK2IIAgtGvLyNVEU8de//hUfffQRsrKy0K1bN7lDcmKSROSHtJZiAIAqxM36XvpIoOwslJVFrN9GRK3ezJkzsXr1anz88ccIDg52FqQ3GAwIDGx+j5QntfqyJERtjSiKCLFK8420ofWTJEdpkhAb67cRUeu3bNkylJaWYtSoUYiNjXVu69atkzs09iQR+RtjZQ3CIdVt09Wp2+agciwDAGnV7WBtgE/jIyLypMYWlZYbe5KI/EyRuba4rdrgbrjNvuq2UIZCLihJROQ1TJKI/EyRqQoRcFO3zcGxVhIXlCQi8iomSUR+xlhSALVglZ78egkAwLnqdgSMKGL9NiIir2GSRORnKoulOzvKBT0QoK3foE79Ng63ERF5D5MkIj9TZa/bZgoIc99AV1u/rYjDbUREXsMkicjP2ExS3bYqdQPFHe0Tt8PBidtERN7EJInIz4imBuq2Odh7kgIFC8rKSn0VFhFRu8MkicjPqCqkum02d5O2AUCth1WhltqwfhsRkdcwSSLyM2p73TaFm7ptAABBgDVQGnKDucBHURERtT9Mkoj8jK5aKkkSEBLVSCMpSVLY67cREZHnMUki8jNBNSUAAI0hpsE2SnsvU4i1FGaL1RdhERF5xbJly5CYmIiQkBCEhIQgOTkZX3zxhdxhAWCSRORXqmqsCBNLAAD68Pp12xwcSVK4UIZCExeUJKLWq1OnTnjxxRexf/9+7Nu3D7/97W8xYcIE/Pjjj3KHxiSJyJ8Um6sRKTiK2zbck+QYbovggpJE1MqNHz8et956K6699lr07NkTzz//PIKCgrBr1y65Q4NK7gCIqFaR0YgYoRwAoAhuZE5SnbWSuKAkEbkjiiLEigpZri0EBkIQhGa/zmq1YsOGDTCbzUhOTvZCZM3DJInIj5iKpNW2a6CEShvacMO6q26zJ4mI3BArKnD8usGyXDvhwH4IOl2T2x8+fBjJycmorKxEUFAQPvroI/Tp08eLETYNh9uI/Eh5cS4AwKgIBRr7V5jekSQZUcAit0TUyiUkJCA7Oxu7d+/GQw89hLS0NBw9elTusNiTRORPquvUbWugKInEUeQWRg63EZFbQmAgEg7sl+3azaFWq9GjRw8AwODBg7F37168+uqreOONN7wRXpMxSSLyI9YyqW5bZUN12xzsw20RHG4jogYIgtCsIS9/YrPZUFUlfy85kyQif2KWyozUaCMab2cfbgsRylFsKvd2VEREXjNnzhyMHTsWnTt3RllZGVavXo2srCxs2bJF7tCYJBH5k9q6bQ2UJHHQhkIUFBBEG2pYv42IWrFLly5h6tSpyM3NhcFgQGJiIrZs2YKbb75Z7tCYJBH5E3WVVJJECGrk9n8AUChQowlDQGUhYGL9NiJqvd5++225Q2gQ724j8iNNqtvmbOyo31bI+m1ERF7AJInIjwTXFAMANKGNrLZtp7CXJgm2Glm/jYjIC5gkEfkJm02EQSwFAOjDGq7b5qAMql0ricsAEBF5HpMkIj9hrKhCBKS6bcGRV+5JqrsMABeUJCLyPCZJRH6ipOgyAgRp2EwTEn3lF3BBSSIir2KSROQnTIV5AIAy6AGV5sovqFOahAtKEhF5HpMkIj9RUWKv26YMbdoLnD1JJhQySSIi8jgmSUR+wmKv22ZWhTXtBXV6kgpNnJNERORpTJKI/ITVvnJ2hfoKJUkcHD1JHG4jIvIKJklE/sKeJNUENjVJknqSwmBCkanSW1EREfnMiy++CEEQMHv2bLlDASBzkrRt2zaMHz8ecXFxEAQBmzZtarT9xo0bcfPNN6NDhw4ICQlBcnJyvQJ4Tz/9tFT5uM7Wq1cvL74LIs9QVUrlRUR78nNF9p4klWBDpanIW2EREfnE3r178cYbbyAxMVHuUJxkTZLMZjMGDBiApUuXNqn9tm3bcPPNN+Pzzz/H/v37MXr0aIwfPx4HDx50ade3b1/k5uY6t+3bt3sjfCKPUlcWAmhC3TYHlRpWdYj0mPXbiKgVM5lMuPvuu/Hmm28iLKyJ8zJ9QNYCt2PHjsXYsWOb3H7JkiUuz1944QV8/PHH+OSTTzBo0CDnfpVKhZiYJizGR+RHdNVSSZKApqyRZGcLDIfSYoSiQqrfJgiCt8IjIvKamTNnYty4cUhJScFzzz0ndzhOsiZJV8tms6GsrAzh4eEu+0+cOIG4uDhotVokJycjIyMDnTt3bvA8VVVVqKqqvTvIaDR6LWaihgRb7XXbDE1PkhRBkUDpGQTbSmG2WBGkadV/pInIg0RRRI3FJsu1VWpFk//RtnbtWhw4cAB79+71clTN16q/UV9++WWYTCbceeedzn1JSUlYtWoVEhISkJubiwULFmDEiBE4cuQIgoOD3Z4nIyMDCxYs8FXYRG6F2koAAdCHX7lum4NSLxW5DRPKUGSyMEkiIqcaiw3/eWSrLNd+4NWRCNAor9guJycHjzzyCL766itotVofRNY8rfbuttWrV2PBggVYv349oqJq53CMHTsWkyZNQmJiIlJTU/H555+jpKQE69evb/Bcc+bMQWlpqXPLycnxxVsgcqqsMCNYqAAABEfGNf2F+trSJIWs30ZErcz+/ftx6dIlXHfddVCpVFCpVNi6dSv+/e9/Q6VSwWq1yhpfq/xn59q1a3H//fdjw4YNSElJabRtaGgoevbsiZMnTzbYRqPRQKNpQhkIIi8pvXwRWgAWUYUQQ/gV2zvZ73CLEMpQyPptRFSHSq3AA6+OlO3aTXHTTTfh8OHDLvumT5+OXr164cknn4RSeeXeKG9qdUnSmjVrcO+992Lt2rUYN27cFdubTCacOnUK99xzjw+iI2qZsqJcRAMoFgyIVjSjg1fH+m1E5J4gCE0a8pJTcHAw+vXr57JPr9cjIiKi3n45yDrcZjKZkJ2djezsbADA6dOnkZ2djXPnzgGQhsGmTp3qbL969WpMnToVixYtQlJSEvLy8pCXl4fS0lJnm8ceewxbt27FmTNn8P333+N3v/sdlEolpkyZ4tP3RtQcFcVSSZIm121zcJQmQRnrtxEReZisPUn79u3D6NGjnc/T09MBAGlpaVi1ahVyc3OdCRMA/Oc//0FNTQ1mzpyJmTNnOvc72gPA+fPnMWXKFBQWFqJDhw4YPnw4du3ahQ4dOvjmTRG1QI0xD0Az6rY5uPQkcU4SEbV+WVlZcofgJGuSNGrUKIii2OBxR+Lj0JQPbu3atVcZFZHv1ZRJJUkqNc2YjwTUTtzmnCQiIo9rtXe3EbUlgllKkqq1TSxJ4uCYuA0jCk3sSSIi8iQmSUR+QGkvSdLkum0O9vZaoRrlZi6CSkTkSUySiPyAxl7cVtHUum0Oaj1sSmn5CivrtxEReRSTJCI/4KjbpmpG3TYAgCDAFigNuSnKCxud40dERM3DJInIDwRZSwAAgaHNTJIAKOzLAATZSlBukXd1WiKitoRJEpHcbDaEiiUAAF14TLNfrgiSkqQI8A43IiJPYpJEJDNbeTFUkCp1GyKaXtzWyT55O0woY/02IiIPYpJEJLOyolwAQImoR2hwUPNPYB9ui2BpEiIij2KSRCQzU+FFAFLdNrWqBX8kddIClCxNQkTkWUySiGRWUSKVJClVNLMkiUOd0iSck0RErc3TTz8NQRBctl69eskdFgCZy5IQEWApvQQAKA9oYZLkKHIrlLF+GxG1Sn379sXXX3/tfK5S+Ud64h9RELVjNlM+AKBS3cy6bQ6OniQYOdxGRK2SSqVCTEzz7+71NiZJRDITzNJK2c2u2+bgnLjNJQCIqJYoiqipkqd3WaXRQBCEJrc/ceIE4uLioNVqkZycjIyMDHTu3NmLETYNkyQimSkrpCRJ1LcwSbIXuQ0RymE0mT0VFhG1cjVVVfh32h2yXPvhd/6LAK22SW2TkpKwatUqJCQkIDc3FwsWLMCIESNw5MgRBAcHeznSxjFJIpKZpkoqbqsI6tCyE2hDIQpKCKIVNnOhByMjIvK+sWPHOh8nJiYiKSkJXbp0wfr163HffffJGBmTJCLZtbhum4NCAZs2DMqKAojmAoii2KxubiJqm1QaDR5+57+yXbulQkND0bNnT5w8edKDEbUMkyQimQVbpSRJG9rySYuCPhKoKECQrRTlFiv0Gv7RJmrvBEFo8pCXPzGZTDh16hTuueceuUPhOklEsqqugE6sAADoW1C3zUHQS/OSIsBVt4modXnsscewdetWnDlzBt9//z1+97vfQalUYsqUKXKHxp4kIlmZLwMAqkQVQkMjWnwaoc5aSQWmKsSH6zwSHhGRt50/fx5TpkxBYWEhOnTogOHDh2PXrl3o0KGF8zQ9iEkSkYwqS/KhBVAAA8KDWj6GX7vqdhl7koioVVm7dq3cITSIw21EMjIVS8Vti8QQBF3NPCI9F5QkIvI0JklEMqoskuq2lSlDr+6ONPtaSeEC5yQREXkKkyQiGVmMUkkSU0ALS5I42JMkadVt1m8jIvIEJklEMrKZpOK2VS2t2+ZgH24LQxmH24iIPIRJEpGcTNLdbTWBLSxJ4uCcuM3hNiIiT2GSRCQjVaVURsSmu8pbXZ09SSYUlVVebVhERAQmSUSyqq3bFnV1JwqUhutUgg3V5qKrDYuIiMAkiUhWumopoQkIucqeJJUaNnWI9Li8EKIoXmVkRETEJIlILjYbgq2lAABtaOzVn88+5KavKUG5xXr15yMiaueYJBHJpaIYCtgAAPrwqxxuQ21pkgiuuk1E5BFMkojkYq/bViwGITw46KpPJ9RZUJLLABBRa3LhwgX86U9/QkREBAIDA9G/f3/s27dP7rBYu41ILtayfCgBFIgGhOkDrv6EenuShDIUmbmgJBG1DsXFxbjhhhswevRofPHFF+jQoQNOnDiBsLAwuUNjkkQkl/LiPAQDKEQIuurUV3/COkVuC0zsSSKi1mHhwoWIj4/HypUrnfu6desmY0S1ONxGJJPKEqluW6nCgAClB/4o6rmgJBHVEkURNotVlq05d9j+73//w5AhQzBp0iRERUVh0KBBePPNN734yTQde5KIZGIpleq2lV9t3TYHR/02GHGMSRJRuydW23Bx3veyXDvumWEQ1Momtf3ll1+wbNkypKenY+7cudi7dy8efvhhqNVqpKWleTnSxjFJIpKJo25bpTrCMyd0GW7jnCQiah1sNhuGDBmCF154AQAwaNAgHDlyBMuXL2eSRNRumQsAANVaDyVJ9onbYVwCgIgACAEKxD0zTLZrN1VsbCz69Onjsq9379748MMPPR1WszFJIpKJqkJKkqC/ytW2Hew9SREwoog9SUTtniAITR7yktMNN9yA48ePu+z7+eef0aVLF5kiqsWJ20QycdRtE662bpuDfU6SVqhGucnomXMSEXnZo48+il27duGFF17AyZMnsXr1avznP//BzJkz5Q5N3iRp27ZtGD9+POLi4iAIAjZt2nTF12RlZeG6666DRqNBjx49sGrVqnptli5diq5du0Kr1SIpKQl79uzxfPBEV0lXUwwAUId4KElS62FTagEAYnmBZ85JRORl119/PT766COsWbMG/fr1w7PPPoslS5bg7rvvljs0eZMks9mMAQMGYOnSpU1qf/r0aYwbNw6jR49GdnY2Zs+ejfvvvx9btmxxtlm3bh3S09Mxf/58HDhwAAMGDEBqaiouXbrkrbdB1HyWcmhtFQAATWiMZ84pCM55SfqaUpRbajxzXiIiL7vttttw+PBhVFZW4tixY5gxY4bcIQGQeU7S2LFjMXbs2Ca3X758Obp164ZFixYBkCZ2bd++Ha+88gpSU1MBAIsXL8aMGTMwffp052s+++wzrFixAk899ZTn3wRRS9hLklSKATAYPLeqrKCPBIwXpNIkJgt04Zx2SETUUq1qTtLOnTuRkpLisi81NRU7d+4EAFgsFuzfv9+ljUKhQEpKirONO1VVVTAajS4bkVfZ72wrgAFhQRqPnVZwTt4uY/02IqKr1KqSpLy8PERHR7vsi46OhtFoREVFBQoKCmC1Wt22ycvLa/C8GRkZMBgMzi0+Pt4r8RM5iCZpIclCMQQReg+UJHGoU+SW9duIiK5Oq0qSvGXOnDkoLS11bjk5OXKHRG2cxSjNkZOK23owSbKXJokQylDI+m1ERFelVU1YiImJQX5+vsu+/Px8hISEIDAwEEqlEkql0m2bmJiGJ8dqNBpoNJ4b8iC6koriPGgAFAsG6D25jom9JymMw21ERFetVfUkJScnIzMz02XfV199heTkZACAWq3G4MGDXdrYbDZkZmY62xD5g+oyqSepPCAMgiB47sQscktE5DGyJkkmkwnZ2dnIzs4GIN3in52djXPnzgGQhsGmTp3qbP/ggw/il19+wRNPPIGffvoJ//d//4f169fj0UcfdbZJT0/Hm2++iXfeeQfHjh3DQw89BLPZ7Lzbjcgf2Mqk3k6P1W1zcBS5td/dRkRELSfrcNu+ffswevRo5/P09HQAQFpaGlatWoXc3FxnwgQA3bp1w2effYZHH30Ur776Kjp16oS33nrLefs/AEyePBmXL1/GvHnzkJeXh4EDB2Lz5s31JnMTyUmw391mDfR0kmTvSUIZCjlxm4joqsiaJI0aNQqiKDZ43N1q2qNGjcLBgwcbPe+sWbMwa9asqw2PyGtUlVJJEpvOQ3XbHJzDbSxyS0R0tVrVnCSitkJTJfUkKYI8nCTZh9tChHKUlpk9e24ionaGSRKRr9msCKwuBQAEGDw8DKwNhShId8uxfhsRtQZdu3aFIAj1Nn8ocNuqlgAgahMqiqGADQAQaPBQcVsHhQJiYDiE8svO+m06Nf+YE5H/2rt3L6xWq/P5kSNHcPPNN2PSpEkyRiXhtyeRr5mk2/+LxCCEBes8fnpBHwmUX0aYfUFJ1m8jIn/WoYPrtIMXX3wR3bt3x8iRI2WKqBa/PYl8zV7ctkA0INyTq23bCfpI4DIQAWmtpPhwzydiROT/RFFEdXW1LNcOCAho0RpwFosF77//PtLT0z27hlwLMUki8jV7klQoGjxbt83BWb+NywAQtWfV1dV44YUXZLn23LlzoVY3//tt06ZNKCkpwbRp0zwfVAtw4jaRj1ntq20XIsQrPUl1i9xyQUkiak3efvttjB07FnFxcXKHAoA9SUQ+V1WaDx2Ay6IBoYEBnr+AvnZBSa6VRNR+BQQEYO7cubJdu7nOnj2Lr7/+Ghs3bvRCRC3T7CSpuroagYGByM7ORr9+/bwRE1GbVm2USpKYA8KgUnqhM1dXW78th0kSUbslCEKLhrzksnLlSkRFRWHcuHFyh+LU7G/ogIAAdO7c2eV2PSJqOmuZNCepSh3unQvoHfXbyjjcRkStgs1mw8qVK5GWlgaVyn8GuVr0z9i///3vmDt3LoqKijwdD1GbJ5RLSVKNNtI7F3DMSYIRRZy4TUStwNdff41z587h3nvvlTsUFy1K115//XWcPHkScXFx6NKlC/R6vcvxAwcOeCQ4orZIVSGthC3qvZUk1dZvK+RwGxG1ArfcckujtVzl0qIkaeLEiR4Og6j90FRJPbCKIA+vtu1gT77CUIaiskrvXIOIqB1oUZI0f/58T8dB1D5YzFDbKgB4oW6bg324TSmIsJYXe+caRETtQItvrSkpKcFbb72FOXPmOOcmHThwABcuXPBYcERtjn0hyQpRjeBgg3euoQyAqAkBAOhqilFuqfHOdYiI2rgW9SQdOnQIKSkpMBgMOHPmDGbMmIHw8HBs3LgR586dw7vvvuvpOInaBrM0H6kQIQgP0njvOvpIoMqIcLB+GxFRS7WoJyk9PR3Tpk3DiRMnoNVqnftvvfVWbNu2zWPBEbU59uK2BWIIwryx2radUGfyNheUJCJqmRYlSXv37sWf//znevs7duyIvLy8qw6KqM2qU9zWK3XbHPS1C0oySSIiapkWJUkajQZGo7He/p9//hkdOnS46qCI2iqxTnHbMJ0XkyTnWkllKDBxrSQiopZoUZJ0++2345lnnkF1dTUAaenzc+fO4cknn8Qf/vAHjwZI1JY4SpIUIgQRQd5PkiLYk0RE1GItSpIWLVoEk8mEqKgoVFRUYOTIkejRoweCg4Px/PPPezpGojajulSak1SiCIVO7cXJ1I61kjgniYioxVr0LW0wGPDVV19h+/btOHToEEwmE6677jqkpKR4Oj6iNsVmn7jttbptDvaJ2xEwooD124iIWqRFSVJlZSW0Wi2GDx+O4cOHezomojbLWbct0EslSRz0de9u45wkIvJfVqsVTz/9NN5//33k5eUhLi4O06ZNwz/+8Q8IgiBrbC1KkkJDQzF06FCMHDkSo0ePRnJyMgIDAz0dG1Gbo6ooBADYdF6+wUEn9VTx7jYi8ncLFy7EsmXL8M4776Bv377Yt28fpk+fDoPBgIcffljW2FqUJH399dfYtm0bsrKy8Morr6CmpgZDhgzByJEjMWrUKNx8882ejpOo9bNZobFIZUKUwd5OkhzDbWUoKGNPEhH5r++//x4TJkzAuHHjAABdu3bFmjVrsGfPHpkja+HE7eHDh2Pu3Ln48ssvUVJSgm+//RY9evTASy+9hDFjxng6RqK2obwIAkTYRAHqEN8Mt2mEalSWl3n3WkTkl0RRhNVaLssmimKT4xw2bBgyMzPx888/AwB++OEHbN++HWPHjvXWR9NkLb695ueff0ZWVpZzq6qqwm233YZRo0Z5MDyiNsQsTdouQjDCg3TevZZaD1EVCKGmAoE1xaiwWBGoVnr3mkTkV2y2CmRt7S/LtUeNPAylsmnfc0899RSMRiN69eoFpVIJq9WK559/HnfffbeXo7yyFiVJHTt2REVFBUaNGoVRo0bhySefRGJiouwTrIj8mnMhSe+WJHHSRQDG84iAEYXmKnRSezkxIyJqgfXr1+ODDz7A6tWr0bdvX2RnZ2P27NmIi4tDWlqarLG1KEnq0KEDfvrpJ+Tl5SEvLw/5+fmoqKiATscvYaIGOYrbiiHeLUliJ+ilJClckIrcdgrjn0+i9kShCMSokYdlu3ZTPf7443jqqadw1113AQD69++Ps2fPIiMjo3UmSdnZ2SgpKcG2bduwdetWzJ07F0ePHsXAgQMxevRoLihJ5I6juC0MiPZmSRIHR5FbcEFJovZIEIQmD3nJqby8HAqF6xRppVIJm80mU0S1WjwnKTQ0FLfffjtuuOEGDBs2DB9//DHWrFmD3bt3M0kicqfOcFsfb5YkcahT5LaQSRIR+anx48fj+eefR+fOndG3b18cPHgQixcvxr333it3aC1LkjZu3OicsH306FGEh4dj+PDhWLRoEUaOHOnpGInaBJvpMhQACkQDwvUa71/QsQyAUIZCFrklIj/12muv4Z///Cf+8pe/4NKlS4iLi8Of//xnzJs3T+7QWpYkPfjgg7jxxhvxwAMPYOTIkejfX57Z80StSbUxDxoARQiBITDA+xd0LCgJI06xJ4mI/FRwcDCWLFmCJUuWyB1KPS1Kki5duuTpOIjaPJtJGm6r0ERAqfDBnaB1itxyuI2IqPlaPCfJarVi06ZNOHbsGACgT58+mDBhApRKrsVC5I5gv7utRhvhmws6h9uMHG4jImqBFiVJJ0+exK233ooLFy4gISEBAJCRkYH4+Hh89tln6N69u0eDJGr1RBEBlVKSBG/XbXPQ8+42IqKr0aKyJA8//DC6d++OnJwcHDhwAAcOHMC5c+fQrVs32YvREfklixlKayUAQPB23TYHndRjxbvbiIhapkU9SVu3bsWuXbsQHh7u3BcREYEXX3wRN9xwg8eCI2oz7Lf/l4saBAWH+uaa9iQpRKiA0WT2zTWJiNqQFvUkaTQalJXVL5ppMpmgVvtg/Rei1qbOatvheh/c2QYA2lCIgjRHUFtdigqL1TfXJSJqI1qUJN1222144IEHsHv3boiiCFEUsWvXLjz44IO4/fbbm32+pUuXomvXrtBqtUhKSsKePXsabDtq1CgIglBvGzdunLPNtGnT6h0fM2ZMS94qkWeYa1fb9skaSQCgUDh7kyIEqX4bERE1XYuSpH//+9/o0aMHhg0bBq1WC61WixtuuAE9evTAq6++2qxzrVu3Dunp6Zg/fz4OHDiAAQMGIDU1tcFlBjZu3Ijc3FznduTIESiVSkyaNMml3ZgxY1zarVmzpiVvlcgz7MNtBb7sSQIg1JmXxMnbRETN06w5STabDf/617/wv//9DxaLBRMnTkRaWhoEQUDv3r3Ro0ePZgewePFizJgxA9OnTwcALF++HJ999hlWrFiBp556ql77uvOgAGDt2rXQ6XT1kiSNRoOYmJhmx0PkFXVKksT6qicJkO5wuwxEQCpyS0RETdesnqTnn38ec+fORVBQEDp27IjPP/8cmzZtwvjx41uUIFksFuzfvx8pKSm1ASkUSElJwc6dO5t0jrfffht33XUX9Hq9y/6srCxERUUhISEBDz30EAoLCxs8R1VVFYxGo8tG5FH2hSQLYECE3ofz9uw9SVxQkoio+ZqVJL377rv4v//7P2zZsgWbNm3CJ598gg8++KDFlXoLCgpgtVoRHR3tsj86Ohp5eXlXfP2ePXtw5MgR3H///S77x4wZg3fffReZmZlYuHAhtm7dirFjx8JqdT9xNSMjAwaDwbnFx8e36P0QNUSs05MU5sskqU6R2yLOSSIiP1VWVobZs2ejS5cuCAwMxLBhw7B37165w2recNu5c+dw6623Op+npKRAEARcvHgRnTp18nhwV/L222+jf//+GDp0qMv+u+66y/m4f//+SExMRPfu3ZGVlYWbbrqp3nnmzJmD9PR053Oj0chEiTzKWnYJKgCFogHhOt/3JEXAiBwOtxGRn7r//vtx5MgRvPfee4iLi8P777+PlJQUHD16FB07dpQtrmb1JNXU1ECr1brsCwgIQHV1dYsuHhkZCaVSifz8fJf9+fn5V5xPZDabsXbtWtx3331XvM4111yDyMhInDx50u1xjUaDkJAQl43Ik2wm6UYEozIMgWoflu7ROXqSONxGRP6poqICH374IV566SXceOON6NGjB55++mn06NEDy5YtkzW2ZvUkiaKIadOmQaOpnXhaWVmJBx980GVO0MaNG5t0PrVajcGDByMzMxMTJ04EIE0Oz8zMxKxZsxp97YYNG1BVVYU//elPV7zO+fPnUVhYiNjY2CbFReRpQrm9blugj+q2Oegdd7exNAlReyOKIspbOB3maukUCghC0wp519TUwGq11uuECQwMxPbt270RXpM1K0lKS0urt68pSUpj0tPTkZaWhiFDhmDo0KFYsmQJzGaz8263qVOnomPHjsjIyHB53dtvv42JEyciIsL1Lx2TyYQFCxbgD3/4A2JiYnDq1Ck88cQT6NGjB1JTU68qVqIWsdZAVVksPdb7qCSJg6MnCSxyS9TelNts6L7tsCzXPnVjf+ibWPA+ODgYycnJePbZZ9G7d29ER0djzZo12LlzZ4tuCvOkZiVJK1eu9HgAkydPxuXLlzFv3jzk5eVh4MCB2Lx5s3My97lz56BQuI4KHj9+HNu3b8eXX35Z73xKpRKHDh3CO++8g5KSEsTFxeGWW27Bs88+69IDRuQz5YUQIMIqClAF+bonicNtROT/3nvvPdx7773o2LEjlEolrrvuOkyZMgX79++XNa4W1W7ztFmzZjU4vJaVlVVvX0JCAkRRdNs+MDAQW7Zs8WR4RFfHfmdbEYIRFhTo22s7lgBAGYrNlb69NhHJSqdQ4NSN/WW7dnN0794dW7duhdlshtFoRGxsLCZPnoxrrrnGSxE2jV8kSURtmvP2fwPCfXn7P+BMkpSCiIAqIyosVt9OHCci2QiC0OQhL3+h1+uh1+tRXFyMLVu24KWXXpI1HiZJRN5WZ40knydJygCIWgOEylJn/bZOap1vYyAiuoItW7ZAFEUkJCTg5MmTePzxx9GrVy/n/GS5tKh2GxE1g7l2tW2fJ0kABOfkbd7hRkT+qbS0FDNnzkSvXr0wdepUDB8+HFu2bEFAgO9qXbrDniQib6vTk9RRhiQJugig6BTCBSMnbxORX7rzzjtx5513yh1GPexJIvI2R0+SHMNtgPMOtwiBRW6JiJqDSRKRt5nkHW6re4cb67cRETUdkyQiL7PVnbjty7ptDs6eJA63ERE1B5MkIi8TTY51kgwwBMowCVHnKE1i5HAbEVEzMEki8iZRhGCWittWayOhUDStlpFH8e42IqIWYZJE5E0WExRWaR6QYB/28jmWJiFqNxqqRtGW+PI9Mkki8ib7fCSzqEFgUIg8MbgMt3HiNlFb5FhPqLy8XOZIvM/xHn2xhhLXSSLyJsedbaIBEXLc2QbUTtzm3W1EbZZSqURoaCguXZKG93U6HQRBhuF9LxJFEeXl5bh06RJCQ0Oh9EHJFSZJRN7kuLMNIQiTK0my9yRphGoIVWZUVluhDWhd9ZyI6MpiYmIAwJkotVWhoaHO9+ptTJKIvKlOcVvZepLUeoiqQAg1FQizz0vqGBooTyxE5DWCICA2NhZRUVGorq6WOxyvCAgI8EkPkgOTJCJvqrPadpgcayTZCfpIoDQHEZDmJTFJImq7lEqlTxOJtowTt4m8qU5x24gg+ZKk2snbvMONiKipmCQReVPd1bblGm4DnElShGBEEReUJCJqEiZJRN5kLgAgJUlyDrc510qCEYW8w42IqEmYJBF5kWiS7jKRf7jNsaCkicNtRERNxCSJyItEc+06SfL2JNnnJIHDbURETcUkichbrDVQVBQBACoCwuRdm6juqtvsSSIiahImSUTeUi7NR7KKAgRduLyx2IfbInh3GxFRkzFJIvIW+1BbEUIQHqSVNxb7xO0wliYhImoyJklE3lJ3IUk5b/8H6kzc5pwkIqKmYpJE5C11itvKukYS4Jy4HSJUoNpSicpqq7zxEBG1AkySiLylTnHbcDnvbAMAjQGiIE0cDwPnJRERNQWTJCJvqVPcNlzONZIAQKGAUKc0CYfciIiujEkSkbfUWSMpQu7hNqB21W3BiAJO3iYiuiImSUTe4ixuK3NJEgdH/TawJ4mIqCmYJBF5S53itrKWJHGos6BkEeckERFdEZMkIm8x1SZJftGT5FgrSSjjcBsRURMwSSLyBlF0qdsWodfIHBBqV91m/TYioiZhkkTkDVVlEKxSb02JwoBgrUrmgFBn4nYZh9uIiJqASRKRN9h7kUyiFoG6YCgUgswBAbDXj4sQjChgkkREdEVMkoi8wVx3te0AmYOxc5QmYf02IqImYZJE5A11V9v2hzWSAJeJ25yTRER0ZUySiLyhzu3/fpMk2XuSwlCGcks167cREV0BkyQib/Cn4rYO9jlJSkFEKEys30ZEdAVMkoi8oc5q2+H+cPs/ACgDAK0BAOu3ERE1hV8kSUuXLkXXrl2h1WqRlJSEPXv2NNh21apVEATBZdNqtS5tRFHEvHnzEBsbi8DAQKSkpODEiRPefhtEteoWt9X5ycRtwGXydiEnbxMRNUr2JGndunVIT0/H/PnzceDAAQwYMACpqam4dOlSg68JCQlBbm6uczt79qzL8Zdeegn//ve/sXz5cuzevRt6vR6pqamorKz09tshktS9uy3IT3qSAJcit4XsSSIiapTsSdLixYsxY8YMTJ8+HX369MHy5cuh0+mwYsWKBl8jCAJiYmKcW3R0tPOYKIpYsmQJ/vGPf2DChAlITEzEu+++i4sXL2LTpk0+eEdEcL27zR9Kkjg4Vt3mgpJERFcka5JksViwf/9+pKSkOPcpFAqkpKRg586dDb7OZDKhS5cuiI+Px4QJE/Djjz86j50+fRp5eXku5zQYDEhKSmr0nEQe5exJ8qO72wDn5O1wGDlxm4joCmRNkgoKCmC1Wl16ggAgOjoaeXl5bl+TkJCAFStW4OOPP8b7778Pm82GYcOG4fz58wDgfF1zzllVVQWj0eiyEbWYtRqoKAbgZ3e3AS6lSQpNnJNERNQY2Yfbmis5ORlTp07FwIEDMXLkSGzcuBEdOnTAG2+80eJzZmRkwGAwOLf4+HgPRkztjrkAAFAjKlAKPcL8ZcVtoHbitmDkcBsR0RXImiRFRkZCqVQiPz/fZX9+fj5iYmKadI6AgAAMGjQIJ0+eBADn65pzzjlz5qC0tNS55eTkNPetENWyD7UVIQR6jRoalVLmgOrQ1727jUkSEVFjZE2S1Go1Bg8ejMzMTOc+m82GzMxMJCcnN+kcVqsVhw8fRmxsLACgW7duiImJcTmn0WjE7t27GzynRqNBSEiIy0bUYv642raDLgKAVOSWSwAQETVOJXcA6enpSEtLw5AhQzB06FAsWbIEZrMZ06dPBwBMnToVHTt2REZGBgDgmWeewW9+8xv06NEDJSUl+Ne//oWzZ8/i/vvvByDd+TZ79mw899xzuPbaa9GtWzf885//RFxcHCZOnCjX26T2xJ4kXRYNCPPTJImLSRIRXZnsSdLkyZNx+fJlzJs3D3l5eRg4cCA2b97snHh97tw5KBS1HV7FxcWYMWMG8vLyEBYWhsGDB+P7779Hnz59nG2eeOIJmM1mPPDAAygpKcHw4cOxefPmeotOEnlFndv/I/wtSaoz3Ga21KCy2gptgB8NBxIR+RFBFEVR7iD8jdFohMFgQGlpKYfeqPm+mgfseBVv1YzFTwPm4OVJA+SOqJalHHhBGpruW/k2vnpqHOJCA2UOiojIMzz993eru7uNyO/5Y3FbB7UOUElJEVfdJiJqHJMkIk+ru9q2vyVJgHPILYL124iIGsUkicjT6tZt86eSJA72ydthLE1CRNQoJklEnmb24+E2oLYnicNtRESNYpJE5Emi6LJOkt8tAQDUrrrN+m1ERI1ikkTkSVVGwColHn65BADgulYS5yQRETWISRKRJ9nvbDOKgaiC2j97kvT2JAllHG4jImoEkyQiT6oz1KZSCAjRyr5ea311itxyuI2IqGFMkog8yXn7v1SSRBAEmQNywzlxm3e3ERE1hkkSkSeZLwGQ7mzzy/lIQO2cJBiZJBERNYJJEpEnmQsASMNtfnn7P+AcbgsTymCqkuq3ERFRfUySiDzJsUYS/PT2f8A5cTtEqIAa1exNIiJqAJMkIk+qM3Hbb4fbtKGAoAQAhIHzkoiIGsIkiciT6hS3DfPHkiQAIAjOeUkRghEFJq6VRETkDpMkIk9y9iQZEBHkp0kS4LzDLZx3uBERNYhJEpEn1Z2T5K89SUCdO9yYJBERNYRJEpGn1FiAyhIAfr4EAFCnJ8mIAq66TUTkFpMkIk8pl27/r4ESRuj89+42wGXVbdZvIyJyj0kSkac45yMFQ4TCv3uSHBO3OdxGRNQgJklEnlLnzjYACPXnOUn62gUlOdxGROQekyQiT6mzRlKwVgW1yo//eNVZAoA9SURE7vnxtzhRK+O8s83gvyVJHBwTtzncRkTUICZJRJ5Sp7it3ydJjiUABCPrtxERNYBJEpGn1Clu69eTtgHn3W2hMEEBG3uTiIjcYJJE5CmOOUn+vpAkAOjCAQBKQYQBJiZJRERuMEki8hRz7d1t4f5ckgQAlAFSoVtIpUkKmSQREdXDJInIU5xLAIQg3N97koA6ayUZUcgit0RE9TBJIvIEUXQpbuv3E7cBFrklIroCJklEnlBZCtiqAUhzklpFkqSrTZI43EZEVB+TJCJPsPcilUEHCwJaR5Kkty8DwOE2IiK3mCQReUKdoTYArSNJ4qrbRESNYpJE5An2JOmyGAygtSRJHG4jImoMkyQiTzDVrrYdoBQQpFHJHFATOIrcsjQJEZFbTJKIPKHOatvhejUEQZA5oCaw9yRFCEYUmpgkERH9GpMkIk9wrrZtQLheI3MwTeSYuC2UwVRVg6oa1m8jIqqLSRKRJ9iL214WDQjXB8gcTBPVWUwSEDnkRkT0K0ySiDyhLA+AY7itlfQk2Yfb1EIN9KjkkBsR0a8wSSK6Wqe/A87vhQgBx8V4hOtaSU+SWgcE6AAA4YKRd7gREf0KkySiq1FTBXz6KABgd8QE/CLGtZ6eJKB28jbKUGTmgpJERHX5RZK0dOlSdO3aFVqtFklJSdizZ0+Dbd98802MGDECYWFhCAsLQ0pKSr3206ZNgyAILtuYMWO8/TaoPdq+BCg8AQRFY23wdABoPXOSAEAXDsDek8ThNiIiF7InSevWrUN6ejrmz5+PAwcOYMCAAUhNTcWlS5fcts/KysKUKVPw7bffYufOnYiPj8ctt9yCCxcuuLQbM2YMcnNznduaNWt88XaoPSk4CXy3SHo8JgMXKqUFJFtVT5K+zjIAHG4jInIhe5K0ePFizJgxA9OnT0efPn2wfPly6HQ6rFixwm37Dz74AH/5y18wcOBA9OrVC2+99RZsNhsyMzNd2mk0GsTExDi3sLAwX7wdai9EEfjsUcBaBXS/Cej7e+fdYWGtqiepzoKS7EkiInIha5JksViwf/9+pKSkOPcpFAqkpKRg586dTTpHeXk5qqurER4e7rI/KysLUVFRSEhIwEMPPYTCwkKPxk7t3KH1wOltgEoLjFsECIIzSYpohT1J4UIZLpZWyBwMEZF/kTVJKigogNVqRXR0tMv+6Oho5OXlNekcTz75JOLi4lwSrTFjxuDdd99FZmYmFi5ciK1bt2Ls2LGwWt0vlldVVQWj0eiyETWovAjYMld6PPIJILwbrDYRJRXVAFpbT5L0j4sIGPHdiQJsP1Egc0BERP6jFRSYatiLL76ItWvXIisrC1qt1rn/rrvucj7u378/EhMT0b17d2RlZeGmm26qd56MjAwsWLDAJzFTG/D1fKC8AOjQC0j+KwCgpNwCUZQOh+laQXFbB/twW2J4DXAJePy/P2Dz7BthCGxFiR4RkZfI2pMUGRkJpVKJ/Px8l/35+fmIiYlp9LUvv/wyXnzxRXz55ZdITExstO0111yDyMhInDx50u3xOXPmoLS01Lnl5OQ0741Q+3F2J3DgXenxbUsAlZQQOYbaDIEBCFDKPtWv6ezDbT2CqtA1Qofc0kos+N+PMgdFROQfZP02V6vVGDx4sMuka8ck7OTk5AZf99JLL+HZZ5/F5s2bMWTIkCte5/z58ygsLERsbKzb4xqNBiEhIS4bUT01FuDT2dLj66YCXWp/Rx1JUri+FfUiAc6eJGVFIRbdORAKAdh48AI2H8mVOTAiIvnJ/k/e9PR0vPnmm3jnnXdw7NgxPPTQQzCbzZg+XVpzZurUqZgzZ46z/cKFC/HPf/4TK1asQNeuXZGXl4e8vDyYTCYAgMlkwuOPP45du3bhzJkzyMzMxIQJE9CjRw+kpqbK8h6pjdj5GnD5JymxSHEdnm21SZK9JwnmQgzuEoaHRnUHAMz96Agul3FxSSJq32RPkiZPnoyXX34Z8+bNw8CBA5GdnY3Nmzc7J3OfO3cOubm1/6pdtmwZLBYL7rjjDsTGxjq3l19+GQCgVCpx6NAh3H777ejZsyfuu+8+DB48GN999x00mlZ01xH5l6LTwNaXpMepLzgnPDsPl9tv/29N85GA2vdhKQNqqvDITT3ROzYERWYL5mw8BNEx0YqIqB3yi4nbs2bNwqxZs9wey8rKcnl+5syZRs8VGBiILVu2eCgyItjXRPobUFMJdBsJJN5Zr4ljjaGI1taTpA0FFCrAVgOUF0IdEodXJg/A7a/twNfHLmHD/vO4c0i83FESEclC9p4kIr/340bgVCagVAPjFgOCUK+JsyeptSVJggDoIqTHZun2/14xIUi/pScA4JlPjiKnqFyu6IiIZMUkiagxFSXAF09Jj0c8BkT2cNusdiHJVpYkAc7J2yivXSNpxohrMKRLGExVNXhsww+w2TjsRkTtD5MkosZkPgOYLwER1wLDZzfYrLYkSWtMkuzzksy1q9IrFQIW3TkAOrUSu08XYcWO0zIFR0QkHyZJRA3J2Qvss9cQvO0VQOV+4n+hqQpHL0qrtHcIboU3BzjucCt3Ld3TJUKPf4zrAwB4actxnMgv83VkRESyYpJE5I612r4mkggM+CPQbYTbZjabiEfX/4BCswU9ooKQ1C3cbTu/5ma4zWHK0HiMSugAS40Nj67PRrXV5uPgiIjkwySJyJ1dy4D8I0BgGHDLcw02W77tFLb9fBnaAAWW/vE6aAOUPgzSQ5xrJdVPkgRBwEt/SESoLgBHLhjx2jfuV60nImqLmCQR/VrJOSArQ3p8y3OAPsJts71nirDoy58BAAtu74uEmGBfRehZzrvbLrs9HBWixXMT+wEAln57Etk5JT4KjIhIXkySiOoSReDzx4HqcqDLDcDAu902KzZb8PCag7DaREwcGNe61xIKv0b6+fNm4JetbpvclhiH2wfEwWoTkb4+GxUWqw8DJCKSB5MkorqOfSIlC4oAabK2mzWRbDYRf9vwA3JLK3FNpB7P/a4/BDftWo1rRgN9fy8tKLn+HuDycbfNnpnQF9EhGvxy2YyFm3/ycZBERL7HJInIodIIfPGE9Hj4bKBDgttmb23/Bd/8dAlqlQKv//E6BGn8YuH6llMogInLgPgkoLIU+GASYKo/9BaqU2PhHxIBAKu+P4MdJ+vPYSIiakuYJBE5fPs8UJYLhHUDRvzNbZMD54rx0mapp2X++D7oExfiywi9J0AL3LUaCOsKlJwF1k4BqivqNRuVEIW7kzoDAB7b8ANKK6p9HCgRke8wSSICgAsHgD3/kR7fthgICKzXpKTcgr+uPogam4jbEmPxx6GdfRykl+kjgbv/K9VzO78X+OhBwFb/lv+5t/ZGlwgdcksrseCTH30fJxGRjzBJIrLWSGsiiTag/ySg+2/rNRFFEY9tOIQLJRXoGqFDxu9b+TykhkReC0x+X5qTdXQT8M0z9ZroNSosmjQACgHYeOACNh/J832cREQ+wCSJaO+bQO4PgNYApL7gtsmKHWfw9bF8qJXSPKRgbYCPg/ShbiOA21+THm9/Bdj/Tr0mQ7qG488juwMA/v7RYRSYqnwZIRGRTzBJovat9ALwjX2xyJQFQFBUvSY/5JTgxS+OAQD+cVtv9Oto8GWE8hg4BRj5pPT400eBU9/UazI75Vr0iglGodmCORsPQxRZBJeI2hYmSdS+ffEEYDFJd3Zdl1bvcGlFNWauPoBqq4hb+8fgnt90kSFImYyaA/S/ExCtwPo04NIxl8MalRKvTB6IAKWAr47m47/7z8sUKBGRdzBJovbrp8+Bnz4FFCppTSSF6x8HURTx5H8P4XxxBeLDA/HiHxLb5jykhggCMOF1oPMwoMoIfHAnUJbv0qR3bAjSb5aWSljwyVGcLy6XI1IiIq9gkkTtU5VJWlkbAJJnAdF96zV5d+dZbP4xDwFKAUv/eB1C2vI8pIaoNMBdHwDh3YHSc8CauwCLayL0wI3XYHCXMJiqavDYhh9gs3HYjYjaBiZJ1D5lZQDG80Bo59q5N3UcuVCK5z+ThpfmjO2NxE6hPg7Qj+jCgbs3AIHhwMUDwMYZLksDKBUCFt85ADq1Ert+KcLK78/IFysRkQcxSaL2J/cQsGuZ9HjcYkCtczlcVinNQ7JYbbilTzSm39DV9zH6m4ju0mKTSrU0RPn1PJfDXSL0+Pu43gCAhZt/won8MjmiJCLyKCZJ1L7YrPY1kaxAn4nAtTe7HBZFEU9tPIyzheXoGBqIf90xoH3NQ2pMl2SpfAkAfP8asPdtl8N/HNoZI3t2gKXGhvT1P6DaWn8hSiKi1oRJErUv+1YAF/YDmhBgzIv1Dn+w+xw+O5QLlULA638cBIOuHc5Dakz/O4DR/5Aef/44cOJr5yFBELDwD4kwBAbg8IVSvP7NSZmCJCLyDCZJ1H4Yc4FM+wrSN80DQmJdDv94sRTPfHoUAPDkmF4Y1DnM1xG2Djc+Bgz4o9Qbt2EakHfEeSjGoMWzE/sBAF7/9iR+yCmRJ0YiIg9gkkTtx5Y50q3scdcBQ+51OWSqqsGs1QdhqbHhpl5RuH9EN5mCbAUEARj/KtB1BGApA1bfKSWgdrcPiMNtibGw2kQ8uj4bldVWGYMlImo5JknUtomiVHLkiyeBHz8CBAUwfgmgUNZpIuLvHx3G6QIz4gxavDyJ85CuSKUGJr8HRFwLGC8AayYDFrPz8LMT+iEqWINfLpuxcPNPMgZKRNRyTJKobSo8BWx9CVg6FHjjRmD3cmn/sL8CsQNcmq7bm4OPsy9CqRDw2h8HIUyvliHgVigwTFoaQBcpJaL/vU+aGA8gTK/GwjsSAQArd5zB9ycL5IyUiKhFmCRR21GWB+z8P+A/o4HXrgO+fR4o+BlQaoA+E6Tq9ikLXF7yU54R8//3IwDg8dQEDO4SLkfkrVd4N2DKGukz/vkLYMvfnYdGJ0Thj0mdAQCPbfgBpwvMDZ2FiMgvCSKrUtZjNBphMBhQWlqKkJAQucOhxlQUA8c+AQ5vAE5/B8D+6ywogGtGS3dj9boN0Nb//2iuqsHtr2/HqctmjErogBVp10Oh4DBbixzZCPx3uvR47EtA0p8BSJ/x2Fe/w7kiaZXu/h0NuC0xFuMSY9EpTNfQ2YiIWsTTf38zSXKDSZKfs5QDP28GDv8XOPkVYLXUHus0FOg/Ceg7EQiKavQ06euzsfHABcSEaPH5IyMQzmG2q/PdYiBzgZSg3rUGSBgDAPg5vwzPfnoUO04WoG7FkkGdQ3FbYhzG9Y9FjEErU9BE1JYwSfIBJkl+yFoN/JIl9Rj99BlgMdUei+oj9Rj1+wMQ1rVJp9uwLweP//cQlAoBa2b8BkO7cZjtqoki8L+/AgffAwL0wL1fuMz/KjBV4Ysjefj0h4vYc6YIjm8eQQCu7xqO8YmxGNs/FpFBGpneABG1dkySfIBJkp+w2YCc3cCR/0p3ppUX1h4zdJYSo/53uC1O25gT+WW4/fUdqKi24vHUBMwc3cPDgbdj1mrg/T8Ap7cCwbHA/ZmAoWO9ZvnGSnx+OBefHsrF/rPFzv0KAUjuHoHbEuMwpm8MJ9ETUbMwSfIBJkkyEkUg/4g0lHbkQ6A0p/aYLhLo93tpOK3T9VIXRDNVWKyYsHQ7fs43YcS1kXhn+lDOQ/K0ihJgRSpw+Scgur/Uo6QJbrD5hZIKfH4oF58euogfzpc696sUAoZfG4nbEuNwS99ohGi5+jkRNY5Jkg8wSfIRm1W6I63knLQVnpAmYV+us66OOhjoPV7qMeo2ElCqruqST/z3B6zfdx5RwRp8/sgIDu14S/FZ4K2bAPNl4NpbpDlKTfh/d7bQjE8PST1Mx3KNzv1qpQI39uyA8QNikdI7GnrN1f0eEFHbxCTJB5gkecivk6CSc0DJ2drHpecBW3X91ynVQM9UoN8d0s+AQI+E89HB83h03Q9QCMAH9/8Gyd0jPHJeasD5/cCqW4GaSuD6+4FbX25W79+pyyZ8+oPUw3TiUu0cNI1KgZt6R+G2xDiMTohCoFrZyFmIqD1hkuQDTJKaqKVJUF0KFWDoBIR2luYZdUmWbtkPDPVIiKIo4pcCM3aeKsQLnx9DucWKR1N64pGUaz1yfrqCox8D69MAiEBQNBA/FIhPAuJ/A8QmAqqm9eQdzyvDp4cu4tNDuS7rLenUSqT0jkZKn2hcE6lHfLgOhkAOyxG1V0ySfKDdJUk2q3S3WJWpzs+yOs/LavebL9VJiHKunAQJytokKLSL/ad9C+siTe5VeK4nwGYTceKSCbtPF2L3L0XYfboIBaYq5/Fh3SPw3n1JUHIeku/seRPYMtd1qQZAWoAybhDQOUlKnDoNBYI6NHoqURTx40UjPjl0EZ8dysX54op6bQyBAegcrkPncB3i7T8dW2yoFgFKrqFL1FYxSfKBVpckiSJgygeKz0h1tKoaSHAaSoCqy1t+7caSoNDOUhJ0lfOIGmOziTiWZ7QnRIXYc7oIxeWuiZtapcCg+FAM6x6J6cO7cgKwHKorgIsHpbsVc/ZIP+veregQ3t3e0zQU6PwbIDIBULhPakRRRHZOCT49lIsD54qRU1ThkhC7o1QIiAvVNphEGQIDWLePqBVjkuQDfpkk1VikO72KTgPFp+0/z0iPi89cXaLjICgBTZA0WVoTbH8cVGdfEKCLcE2IvJwE/VqN1Yajua5JkbGyxqVNYIASg7uEIalbOJKuiUBiJwO0AZy34ldEUaqvl7MbyNklJU6X3RTC1RiA+Oul4bn4oUDHwdLvYQPKLTXIKarAuaJynCsqR479p+NxVY2t0bCCtSqXpMmRREWFaGAIDIAhMACBAUomUkR+ikmSD8iWJFWWuk+Cis4AxvOA2MgXvKAAQjpJvTraEHtyE+ya4Pw64fn1c5W2RbfVe1O11YbDF0qdSdG+M8UwVbkmRXq1EkO6hiPpmnAkdYtA/44GqFUcUml1KoqBnL32xGk3cGF//eRfUAIx/ey9TfbN0KlJv7c2m4jLpiopaSqsn0RdKmu8F8ohQCnAEBiAEHvS5G5r6JhOzQSLyJvaZJK0dOlS/Otf/0JeXh4GDBiA1157DUOHDm2w/YYNG/DPf/4TZ86cwbXXXouFCxfi1ltvdR4XRRHz58/Hm2++iZKSEtxwww1YtmwZrr22aZN1vZYk2WxAWa6bJMieGFUUN/76AJ20onRYN+lneLfax6GdAVXrX3ivqsaKQ+dLsfuXQuw+XYT9Z4tRbrG6tAnWqjC0TlLUNy4EKs4zaXus1dKaWTl7gHP23ibj+frtguOkSeC6SEAXJvV2BoYDunDXx4FhgLLhodYKixXni2uTprpJVKHJgtKKatTYru7rUqUQ3CZSOrUS2gAlAtVKBAZIm1athFalqLcvMMDe1rlPAbVSweSLCG0wSVq3bh2mTp2K5cuXIykpCUuWLMGGDRtw/PhxREXVr731/fff48Ybb0RGRgZuu+02rF69GgsXLsSBAwfQr18/AMDChQuRkZGBd955B926dcM///lPHD58GEePHoVWe+UaUV5Lkr6aD+xY0ngbfQcp8QnvVpsQOZKhoCi/6+lpCptNRGlFNYrLLdJmrkZRuQUl5RYUmatRbJb2F5iq8ONFY70hkVBdgD0pikBSt3D0jg3hxOv2qvR87ZymnN1A7iFAtF75dQ4agz15CrcnTxF1HjewP0D6zhBFEeUWK0orquttRjf7fn2s2uq9r1qFAGfy9OtkSxMgJVFqlQIBSmlTqxRQKwXn49p9CgQoBQSoXF+jVioQoJKO1TuXUgGlUkCAQoBSIUClUECldDyWfjKBI19pc0lSUlISrr/+erz++usAAJvNhvj4ePz1r3/FU089Va/95MmTYTab8emnnzr3/eY3v8HAgQOxfPlyiKKIuLg4/O1vf8Njjz0GACgtLUV0dDRWrVqFu+6664oxeS1J2vs28MUTgCHetReo7uNG5lv4A6s94SkyOxIe+8/y2mSnyFwtJUD246UV1WjOP8Ajg9QY2k3qJUq6Jhw9o4K5Kja5ZzEDFw5IC5GWF0lbhf1neWHt48qSll8jQCcNXas0gCrQ/lMrJU8qbSP7a4+LKi0sghpmmwpmqwplNSqU1ShRWqNEqUWJCquAcquA8mpBelwjwFwDmKtrt4oaGyqqraiw2FBVbUV5tRXWq+zZ8hWVojZpUikVzucBSoVLMuV6TPqpVAhQCPbHggCF/adSaf/pPA6Xts7XuBxX2F8D53kU9nMqBNR/7PwpQKGo89hxTCG4tlP86jX2NgIAoU47oYGfCsHRTnqN85ii9rmjjfO19v0QUG+fIzdV/Kq9YD9HW+Tpv79lXbbWYrFg//79mDNnjnOfQqFASkoKdu7c6fY1O3fuRHp6usu+1NRUbNq0CQBw+vRp5OXlISUlxXncYDAgKSkJO3fubFKS5C0nO47C8dGrAUEBKTcVIFpF4BIg5l+EiIsQRUCE/RhEiKL9JwAR0oidCNjbSTttIpzFQm02EVZRhNVqQ7VVRI1VRI3Nhhqb9NgiirBZbai2WWGtkeb8WG0iqq3S66pF+2tqbPbXiqi22WCrsaFaFGGxWdGctDoIQJB9JCxQpYROHQC9Vgl9gBJ6jQpBWhV0amkL0qoQY1AjJkQLCBYAuTBfzsXByx77X0BtkgrQ9AY0AMIaaGKzAlXlUlJlsd/haamQ5gFWlwPVZqDSfsdntRGorLAXUbYBFkgbRADl9s0jUSPCvjWNQpp7qFAAAQogQAkISogKFURBgCgopA2ADUqIghI2CLBBARHSfisE2EQBIhSwQoAIAaIIqZ39e8QGAVYRsIoCbHD8lI7bROn1VhGoERWwoba9TZT+0rXZPynRETMgXQeATVRArAEA6dywxwD7ccdP5/ed/Z1LbRyP4XxN3WNWCLACgOh6DtjPW9se9a5ZN0Z3RGeccGlTf5/gEqvrORp/3PDrHPuvdLzh67l77mDPr1yuIdT9jz2xcuwSnG2EOu3qns+RnNXpQXT+EFzOkThoEP48LrWByPyDrElSQUEBrFYroqOjXfZHR0fjp5/c3OkCIC8vz237vLw853HHvoba/FpVVRWqqmonbRqNRrftrta/v/oA6zvf3rwX/fr3v63fpFUNwM2d4URXz95LK0BKqDQAGi4pR0ReFnb4eQD+nSRxtiuAjIwMGAwG5xYfH++V6wQoWSeMiIgIAAxB/j29BJC5JykyMhJKpRL5+fku+/Pz8xETE+P2NTExMY22d/zMz89HbGysS5uBAwe6PeecOXNchvCMRqNXEqUXJs3Gw2fPevy8RERErU3MsOVyh3BFsiZJarUagwcPRmZmJiZOnAhAmridmZmJWbNmuX1NcnIyMjMzMXv2bOe+r776CsnJyQCAbt26ISYmBpmZmc6kyGg0Yvfu3XjooYfcnlOj0UCj8X4vj0ajQZeePb1+HSIiIrp6siZJAJCeno60tDQMGTIEQ4cOxZIlS2A2mzF9+nQAwNSpU9GxY0dkZGQAAB555BGMHDkSixYtwrhx47B27Vrs27cP//nPfwBIk8Zmz56N5557Dtdee61zCYC4uDhnIkZERER0JbInSZMnT8bly5cxb9485OXlYeDAgdi8ebNz4vW5c+egqFO7adiwYVi9ejX+8Y9/YO7cubj22muxadMm5xpJAPDEE0/AbDbjgQceQElJCYYPH47Nmzc3aY0kIiIiIsAP1knyR35Zu42IiIga5em/v3l3GxEREZEbTJKIiIiI3GCSREREROQGkyQiIiIiN5gkEREREbnBJImIiIjIDSZJRERERG4wSSIiIiJyg0kSERERkRtMkoiIiIjckL12mz9yVGoxGo0yR0JERERN5fh721MV15gkuVFWVgYAiI+PlzkSIiIiaq6ysjIYDIarPg8L3Lphs9lw8eJFBAcHQxAEj57baDQiPj4eOTk5LJ7rQ/zc5cHPXT787OXBz10+js/+6NGjSEhIgEJx9TOK2JPkhkKhQKdOnbx6jZCQEP4BkgE/d3nwc5cPP3t58HOXT8eOHT2SIAGcuE1ERETkFpMkIiIiIjeYJPmYRqPB/PnzodFo5A6lXeHnLg9+7vLhZy8Pfu7y8cZnz4nbRERERG6wJ4mIiIjIDSZJRERERG4wSSIiIiJyg0mSFyxduhRdu3aFVqtFUlIS9uzZ02j7DRs2oFevXtBqtejfvz8+//xzH0XatjTnc1+1ahUEQXDZtFqtD6NtG7Zt24bx48cjLi4OgiBg06ZNV3xNVlYWrrvuOmg0GvTo0QOrVq3yepxtTXM/96ysrHq/74IgIC8vzzcBtxEZGRm4/vrrERwcjKioKEycOBHHjx+/4uv4HX/1WvLZe+J7nkmSh61btw7p6emYP38+Dhw4gAEDBiA1NRWXLl1y2/7777/HlClTcN999+HgwYOYOHEiJk6ciCNHjvg48tatuZ87IC32lpub69zOnj3rw4jbBrPZjAEDBmDp0qVNan/69GmMGzcOo0ePRnZ2NmbPno37778fW7Zs8XKkbUtzP3eH48ePu/zOR0VFeSnCtmnr1q2YOXMmdu3aha+++grV1dW45ZZbYDabG3wNv+M9oyWfPeCB73mRPGro0KHizJkznc+tVqsYFxcnZmRkuG1/5513iuPGjXPZl5SUJP75z3/2apxtTXM/95UrV4oGg8FH0bUPAMSPPvqo0TZPPPGE2LdvX5d9kydPFlNTU70YWdvWlM/922+/FQGIxcXFPompvbh06ZIIQNy6dWuDbfgd7x1N+ew98T3PniQPslgs2L9/P1JSUpz7FAoFUlJSsHPnTrev2blzp0t7AEhNTW2wPdXXks8dAEwmE7p06YL4+HhMmDABP/74oy/Cbdf4+y6vgQMHIjY2FjfffDN27NghdzitXmlpKQAgPDy8wTb8nfeOpnz2wNV/zzNJ8qCCggJYrVZER0e77I+Ojm5w7D8vL69Z7am+lnzuCQkJWLFiBT7++GO8//77sNlsGDZsGM6fP++LkNuthn7fjUYjKioqZIqq7YuNjcXy5cvx4Ycf4sMPP0R8fDxGjRqFAwcOyB1aq2Wz2TB79mzccMMN6NevX4Pt+B3veU397D3xPc8Ct9QuJScnIzk52fl82LBh6N27N9544w08++yzMkZG5HkJCQlISEhwPh82bBhOnTqFV155Be+9956MkbVeM2fOxJEjR7B9+3a5Q2l3mvrZe+J7nj1JHhQZGQmlUon8/HyX/fn5+YiJiXH7mpiYmGa1p/pa8rn/WkBAAAYNGoSTJ096I0Sya+j3PSQkBIGBgTJF1T4NHTqUv+8tNGvWLHz66af49ttv0alTp0bb8jves5rz2f9aS77nmSR5kFqtxuDBg5GZmencZ7PZkJmZ6ZLN1pWcnOzSHgC++uqrBttTfS353H/NarXi8OHDiI2N9VaYBP6++5Ps7Gz+vjeTKIqYNWsWPvroI3zzzTfo1q3bFV/D33nPaMln/2st+p6/qmnfVM/atWtFjUYjrlq1Sjx69Kj4wAMPiKGhoWJeXp4oiqJ4zz33iE899ZSz/Y4dO0SVSiW+/PLL4rFjx8T58+eLAQEB4uHDh+V6C61Scz/3BQsWiFu2bBFPnTol7t+/X7zrrrtErVYr/vjjj3K9hVaprKxMPHjwoHjw4EERgLh48WLx4MGD4tmzZ0VRFMWnnnpKvOeee5ztf/nlF1Gn04mPP/64eOzYMXHp0qWiUqkUN2/eLNdbaJWa+7m/8sor4qZNm8QTJ06Ihw8fFh955BFRoVCIX3/9tVxvoVV66KGHRIPBIGZlZYm5ubnOrby83NmG3/He0ZLP3hPf80ySvOC1114TO3fuLKrVanHo0KHirl27nMdGjhwppqWlubRfv3692LNnT1GtVot9+/YVP/vsMx9H3DY053OfPXu2s210dLR46623igcOHJAh6tbNcWv5rzfHZ52WliaOHDmy3msGDhwoqtVq8ZprrhFXrlzp87hbu+Z+7gsXLhS7d+8uarVaMTw8XBw1apT4zTffyBN8K+buMwfg8jvM73jvaMln74nvecF+cSIiIiKqg3OSiIiIiNxgkkRERETkBpMkIiIiIjeYJBERERG5wSSJiIiIyA0mSURERERuMEkiIiIicoNJEhEREZEbTJKIiIiI3GCSREQ+M23aNAiCUG9jNXoi8kcquQMgovZlzJgxWLlypcu+Dh06uDy3WCxQq9W+DIuIqB72JBGRT2k0GsTExLhsN910E2bNmoXZs2cjMjISqampAIAjR45g7NixCAoKQnR0NO655x4UFBQ4z2U2mzF16lQEBQUhNjYWixYtwqhRozB79mxnG0EQsGnTJpcYQkNDsWrVKufznJwc3HnnnQgNDUV4eDgmTJiAM2fOOI9PmzYNEydOxMsvv4zY2FhERERg5syZqK6udrapqqrCk08+ifj4eGg0GvTo0QNvv/02RFFEjx498PLLL7vEkJ2dzV40Ij/HJImI/MI777wDtVqNHTt2YPny5SgpKcFvf/tbDBo0CPv27cPmzZuRn5+PO++80/maxx9/HFu3bsXHH3+ML7/8EllZWThw4ECzrltdXY3U1FQEBwfju+++w44dOxAUFIQxY8bAYrE423377bc4deoUvv32W7zzzjtYtWqVS6I1depUrFmzBv/+979x7NgxvPHGGwgKCoIgCLj33nvr9Z6tXLkSN954I3r06NGyD4yIvE8kIvKRtLQ0UalUinq93rndcccd4siRI8VBgwa5tH322WfFW265xWVfTk6OCEA8fvy4WFZWJqrVanH9+vXO44WFhWJgYKD4yCOPOPcBED/66COX8xgMBnHlypWiKIrie++9JyYkJIg2m815vKqqSgwMDBS3bNnijLtLly5iTU2Ns82kSZPEyZMni6IoisePHxcBiF999ZXb933hwgVRqVSKu3fvFkVRFC0WixgZGSmuWrWqCZ8aEcmFc5KIyKdGjx6NZcuWOZ/r9XpMmTIFgwcPdmn3ww8/4Ntvv0VQUFC9c5w6dQoVFRWwWCxISkpy7g8PD0dCQkKz4vnhhx9w8uRJBAcHu+yvrKzEqVOnnM/79u0LpVLpfB4bG4vDhw8DkIbOlEolRo4c6fYacXFxGDduHFasWIGhQ4fik08+QVVVFSZNmtSsWInIt5gkEZFP6fV6t0NMer3e5bnJZML48eOxcOHCem1jY2ObPJdHEASIouiyr+5cIpPJhMGDB+ODDz6o99q6E8oDAgLqnddmswEAAgMDrxjH/fffj3vuuQevvPIKVq5cicmTJ0On0zXpPRCRPJgkEZFfuu666/Dhhx+ia9euUKnqf1V1794dAQEB2L17Nzp37gwAKC4uxs8//+zSo9OhQwfk5uY6n584cQLl5eUu11m3bh2ioqIQEhLSolj79+8Pm82GrVu3IiUlxW2bW2+9FXq9HsuWLcPmzZuxbdu2Fl2LiHyHE7eJyC/NnDkTRUVFmDJlCvbu3YtTp05hy5YtmD59OqxWK4KCgnDffffh8ccfxzfffIMjR45g2rRpUChcv9Z++9vf4vXXX8fBgwexb98+PPjggy69QnfffTciIyMxYcIEfPfddzh9+jSysrLw8MMP4/z5802KtWvXrkhLS8O9996LTZs2Oc+xfv16ZxulUolp06Zhzpw5uPbaa5GcnOyZD4qIvIZJEhH5pbi4OOzYsQNWqxW33HIL+vfvj9mzZyM0NNSZCP3rX//CiBEjMH78eKSkpGD48OH15jYtWrQI8fHxGDFiBP74xz/isccecxnm0ul02LZtGzp37ozf//736N27N+677z5UVlY2q2dp2bJluOOOO/CXv/wFvXr1wowZM2A2m13a3HfffbBYLJg+ffpVfDJE5CuC+OvBeiKiVmzUqFEYOHAglixZInco9Xz33Xe46aabkJOTg+joaLnDIaIr4JwkIiIvq6qqwuXLl/H0009j0qRJTJCIWgkOtxERedmaNWvQpUsXlJSU4KWXXpI7HCJqIg63EREREbnBniQiIiIiN5gkEREREbnBJImIiIjIDSZJRERERG4wSSIiIiJyg0kSERERkRtMkoiIiIjcYJJERERE5AaTJCIiIiI3/h+O/nXNrCg45wAAAABJRU5ErkJggg==", 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", 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" ] @@ -243,7 +236,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -296,7 +289,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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", 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", 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", 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", 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" ] @@ -363,6 +356,20 @@ "source": [ "This shows the power contribution to the data column 0 from each PC. It's all PC 0, 1, of course, at the same frequency ($f=1$) as the PC itself. The remaining power from the noise is spread into the remaining PCs." ] + }, + { + "cell_type": "markdown", + "id": "d30658f9-d397-41a2-a969-0c31f91909e5", + "metadata": {}, + "source": [ + "***\n", + "\n", + "## Where do you want to go next?\n", + "\n", + "- [Return to Table of Contents](../README.ipynb)\n", + "- [Back to previous notebook](../Basis/python%20disk%20density.ipynb)\n", + "- [Go to next notebook](cosine%20multichannel.ipynb)\n" + ] } ], "metadata": { @@ -381,7 +388,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.12" + "version": "3.12.3" } }, "nbformat": 4, diff --git a/Tutorials/mSSA/mSSA on pyEXP coefficients.py b/Tutorials/mSSA/mSSA on pyEXP coefficients.py index fe66edb..80f9d27 100644 --- a/Tutorials/mSSA/mSSA on pyEXP coefficients.py +++ b/Tutorials/mSSA/mSSA on pyEXP coefficients.py @@ -103,6 +103,7 @@ --- # chatty: on output: mytest2 +allchan: true ... """ @@ -212,8 +213,16 @@ # Try the kmeans analysis (not sure this is working correctly yet, # although it used to work and nothing has changed) # +ssa.reconstruct([0, 1, 2, 3, 4, 5, 6, 7]) print('Calling k-means') -ssa.kmeans() +id, dist, err = ssa.kmeans() + +# Print the results +print('\n') +print('{:<4s} | {:<4s} | {:<13s}'.format('PC', 'id', 'distance')) +print('{:<4s} | {:<4s} | {:<13s}'.format('----', '----', '--------')) +for k in range(len(id)): + print('{:<4d} | {:<4d} | {:<13.6e}'.format(k, id[k], dist[k])) # Test the PNG output # diff --git a/Tutorials/mSSA/pyEXP coefficients.ipynb b/Tutorials/mSSA/pyEXP coefficients.ipynb new file mode 100644 index 0000000..d529ca7 --- /dev/null +++ b/Tutorials/mSSA/pyEXP coefficients.ipynb @@ -0,0 +1,659 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "3e24dbe5-d0bf-4264-93c7-e55ea70095d6", + "metadata": {}, + "source": [ + "# mSSA on EXP coefficients\n", + "\n", + "Begin with the usual imports..." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "bab24412-6b1d-4b65-82ff-9ff4a2676928", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import yaml\n", + "import time\n", + "import pyEXP\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "markdown", + "id": "85779203-67bd-47b1-a04b-0a3aa9983cc1", + "metadata": {}, + "source": [ + "### Get some example data\n", + "\n", + "We provide a set of reference simulations in the `Tutorials/Data` directory. We'll read the `DiskHalo` basis configuration and coefficients for this example. This is a very short simulation so will not be able to study the evolution of the m=2 response in detail. Rather, we are illustrating the basic steps of an mSSA analysis here." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "edd47489-b67a-48a3-9e42-6fdcd9cbc350", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Cylindrical: parameter 'density' is deprecated. The density field will be computed regardless.\n", + "The coefficient time list is [0.0, 0.002, 0.004, 0.006, 0.008, 0.01, 0.012, 0.014, 0.016, 0.018, 0.02, 0.022, 0.024, 0.026, 0.028, 0.03, 0.032, 0.034, 0.036, 0.038, 0.04, 0.042, 0.044, 0.046, 0.048, 0.05, 0.052, 0.054, 0.056, 0.058, 0.06, 0.062, 0.064, 0.066, 0.068, 0.07, 0.072, 0.074, 0.076, 0.078, 0.08, 0.082, 0.084, 0.086, 0.088, 0.09, 0.092, 0.094, 0.096, 0.098, 0.1, 0.102, 0.104, 0.106, 0.108, 0.11, 0.112, 0.114, 0.116, 0.118, 0.12, 0.122, 0.124, 0.126, 0.128, 0.13, 0.132, 0.134, 0.136, 0.138, 0.14, 0.142, 0.144, 0.146, 0.148, 0.15, 0.152, 0.154, 0.156, 0.158, 0.16, 0.162, 0.164, 0.166, 0.168, 0.17, 0.172, 0.174, 0.176, 0.178, 0.18, 0.182, 0.184, 0.186, 0.188, 0.19, 0.192, 0.194, 0.196, 0.198, 0.2]\n", + "---- EmpCylSL::ReadH5Cache: read \n", + "---- EmpCylSL::read_cache: table forwarded to all processes\n", + "---- Cylindrical::orthoTest: worst=0.00529627\n" + ] + } + ], + "source": [ + "# Switch to the Data directory to get our example data\n", + "os.chdir('../Data')\n", + "\n", + "# Get the basis config\n", + "#\n", + "yaml_config = \"\"\n", + "with open('config.yml') as f:\n", + " config = yaml.load(f, Loader=yaml.FullLoader)\n", + " yaml_config = yaml.dump(config['Components'][1]['force'])\n", + "\n", + "\n", + "# Construct the basis instance\n", + "#\n", + "basis = pyEXP.basis.Basis.factory(yaml_config)\n", + "\n", + "# Make the coefficients by the factory method\n", + "#\n", + "coefs = pyEXP.coefs.Coefs.factory('outcoef.star disk.run0')\n", + "\n", + "# Return to the working directory\n", + "os.chdir('../mSSA')\n", + "\n", + "print('The coefficient time list is', coefs.Times())" + ] + }, + { + "cell_type": "markdown", + "id": "a8d59655-6db6-4b33-b710-5b4010b2ded4", + "metadata": {}, + "source": [ + "### Visualize the field data for intuition\n", + "\n", + "Now, let's construct some slices for rendering" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "d9d7ef1c-4c71-4f69-9d10-74b7e55b26cd", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating surfaces with times: [0.198, 0.2]\n", + "Created fields instance\n", + "Created surfaces\n", + "We now have the following [time field] pairs\n", + "----------------------------------------\n", + " 0.1980 azi force\n", + " 0.1980 dens\n", + " 0.1980 dens m=0\n", + " 0.1980 dens m>0\n", + " 0.1980 potl\n", + " 0.1980 potl m=0\n", + " 0.1980 potl m>0\n", + " 0.1980 rad force\n", + " 0.1980 ver force\n", + "----------------------------------------\n", + " 0.2000 azi force\n", + " 0.2000 dens\n", + " 0.2000 dens m=0\n", + " 0.2000 dens m>0\n", + " 0.2000 potl\n", + " 0.2000 potl m=0\n", + " 0.2000 potl m>0\n", + " 0.2000 rad force\n", + " 0.2000 ver force\n" + ] + }, + { + "data": { + "image/png": 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QBEEQhHpEciQIgiAIglCPSI4EQRAEQRDqEcmRIAiCIAhCPSI5EgRBEARBqEckR4IgCIIgCPWI5EgQBEEQBKEekRwJgiAIgiDUI5IjQRAEQRCEekRyJAiCIAiCUI9IjgRBEARBEOoRyZEgCIIgCEI9IjkSBEEQBEGoRyRHgiAIgiAI9YjkSBAEQRAEoR6RHAmCIAiCINQjkiNBEARBEIR6RHIkCIIgCIJQj0iOBEEQBEEQ6hHJkSAIgiAIQj0iORIEQRAEQahHJEeCIAiCIAj1iORIEARBEAShHpEcCYIgCIIg1NPlkqM33niD1NRUdDodmZmZbNy48bTlFy1aRO/evdHpdAwYMIBly5adsuwf/vAHJEli3rx5rRy1IAiCIAhdRZdKjhYuXMisWbN4+umn2bp1K4MGDWLixImUlpY2Wn79+vVMmzaN22+/nW3btjF58mQmT57M7t27Tyr7xRdf8MsvvxAfH9/WtyEIgiAIQifWpZKjV155hTvvvJOZM2fSt29f5s+fj8Fg4N133220/L/+9S8uvfRSHn74Yfr06cOzzz7LkCFDeP311xuUKyws5L777uOTTz5BrVa3x60IgiAIgtBJdZnkyOVysWXLFiZMmBA4plAomDBhAllZWY2ek5WV1aA8wMSJExuU9/l83HrrrTz88MP069evSbE4nU4sFkuDhyAIgiAI54YukxyVl5fj9XqJiYlpcDwmJgaz2dzoOWaz+Yzl586di0ql4v77729yLHPmzMFkMgUeSUlJzbgTQRAEQTh3NWds8DvvvMP5559PWFgYYWFhTJgw4bTl22tscJdJjtrCli1b+Ne//sX777+PJElNPu/xxx+npqYm8MjPz2/DKAVBEASha2ju2OA1a9Ywbdo0Vq9eTVZWFklJSVxyySUUFhaeVLY9xwZ3meQoMjISpVJJSUlJg+MlJSXExsY2ek5sbOxpy//000+UlpaSnJyMSqVCpVKRm5vLQw89RGpq6ilj0Wq1hISENHgIgiAIwm9dc8cGf/LJJ9xzzz1kZGTQu3dv/v3vf+Pz+Vi1alWDcu09NrjLJEcajYahQ4c2+IUd/wWOGjWq0XNGjRp10i94xYoVgfK33norO3fuZPv27YFHfHw8Dz/8MN99913b3YwgCIIgdCG/HmfrdDpPKnM2Y4N/zWaz4Xa7CQ8PDxw7m7HBLaVql6u0klmzZjFjxgyGDRvGiBEjmDdvHlarlZkzZwIwffp0EhISmDNnDgAPPPAAY8eO5eWXX2bSpEl8+umnbN68mbfffhuAiIgIIiIiGlxDrVYTGxtLr1692vfmBEEQBKEVfW/tjU5q2du8w+oBSk4aW/v000/zzDPPNDh2urHB+/fvb9L1Hn30UeLj4xskWGczNrilulRyNHXqVMrKypg9ezZms5mMjAyWL18e+IfIy8tDoTjRGDZ69GgWLFjAk08+yRNPPEF6ejpffvkl/fv376hbEARBEIQuJz8/v8EQEq1W2+rXeP755/n0009Zs2YNOp0OODE2eOvWrc0aG9xSXSo5Arj33nu59957G31uzZo1Jx2bMmUKU6ZMaXL9OTk5ZxmZIAiCIJybmjK+9mzGBh/30ksv8fzzz7Ny5UoGDhwYOF5/bPBxXq+Xhx56iHnz5rXZe3aXGXMkCIIgCELndTZjgwFeeOEFnn32WZYvX86wYcMaPNdRY4O7XMuRIAiCIAidU3PHBs+dO5fZs2ezYMECUlNTA+sQBgUFERQU1GFjg0VyJAiCIAhCq2ju2OC33noLl8vF9ddf36CexgZ8tyeRHAmC0GXIPh+yxwOyjKRSISmVpyzrtdTiqakBSUIVHobSYGjwvM9ux5GTi89qQ9Jo0CYlogoLbeM7EIRzX3PGBp/NmKH2GBsskiNBELoEr9VKxf8+w7bvAAqtlqDhQwi/6opGy7rLKyhfuBh3WRmSSoWuWxoR101GcWyGjbeujqrl3+MqKAKfF4XBCKNHiuRIEARAJEeCIHQBPrebqqXL8dZZSX3h77grKih5530URiOhF41rWNblomrJtyi0WpKfeRKvzU7J/Heo/m4F4VddgezxYPlpHe4iM/EPnvh067Xa2vu2BEHopMRsNUEQOj3Z5cK2aw+hl10CgCosDNO4C6hdv8H/vCyfKOt0Yj94kNBLLwZAoddhGj+Wus3bAPDZ7NRmbcQ0YRy2fQeo27odV2ERSqMBQRAEEC1HgiB0AT6rDW9dHZq4OAAkhQJNbAze6mpkWW6wOJzXZsdnd6CO9M9wkSQJVUQE3ro6f11OJ16LBev2XXgqKgAZFEpCL7kIfXqPdr83QRA6H9FyJAhCpyd7PCBJKLSawDGFXu8foP3rPZ68XpAkJNWJz34KrRZkGZ/Lhez1AuBz2Im7727i7rsHbXISFf/7rF3uRRCEzk+0HAmC0OkpdDp/cmOzowwJBvwtQEgSCp0OZZz1ROuRVgJkpKByVOH+FX09tmokpQJNqgefQw+SRMj55wH+GXAhF5xHzarVJ7VCCYLw2yRajgRB6PSUIcEoQ0Jw5OYBoIq34ak9iiY2HFW8rUFCowwxoI4Ow7rjcOCYbdcRNMn+dVa03UGbHI27/CCqeBvqRAfumoMo9PpAPY6cXBxHs/Ha7O14l4IgdBai5UgQhE5B9vlwl5Xjyi/AmZePMy+fyBunYBgSjCzLmC4aRM0P32EYFo4z30n1txswXZYJgLfODrKMMtgAKiWhl2ZSvTQLdWQoPruT2p92Ej7FP6tNUqsIm3w+lV/8hDI0GEmhwPLjdsImj0YV75+xVvPet9i2+5MrpcmEJi4GdWws2pRkjAP7N+iyEwTh3CP+wgVB6FDW7Tux/LwOZ34hssPR4DmP5TAwGEmSCJ9yIT6bk7yH30JSSJgmDCN04ghkWabi01VIKiVRt12GJEmEXj4Sn9NF6TvfIKmUmCaOIHhUv0C9wecNQHZ7sKzZjqRUYBzem7BJJ/Z+UpqCUEWE4Kmw4K2pwV5Tg33/QQAqQ4IJHjOakPNGoQwKapffkSAI7UuS68+BFc6KxWLBZDKRMvc5/9gIQRDOyFNZRcVX32DbvjNwTFKr0KbFoeuegLZ7PIb+3VBFnH4n8LPR1LFFXqsDV0EproIyXLkl1P6yB29VbSDWoGFDMV18EeqI8FaPUTg3+RwOch99kpqamjPucn+2jr8nPb9pLLqglrWBOOo8PDb8xzaNtzMSLUeCILQrb20t1St+oHbdemSPFxQKwq4+j+DzBqBJjDrtliCtpamDrpVGHfpeyeh7JQMQeesl1P6yh+olWTiPFlGbtYG6TZsJPm80oZdMQBlkbMuwBUFoJyI5EgShXfjsdmp++JGaH9ciO10A6PulETnjUnRpcR0cXdNIahUh5w8ieMxAHPtzqfjfauy7s7H8+BN1GzdiGj+ekLFjAtuUCILQNYnkSBCENuVzubD8tI6aH37AV+ef/aXtHk/EtAkYBnbvklPnJUlC3yeVhNm3Ydt5hIqPv8eZY6Zq6bdYflpH6GWXEJw5vF1awQRBaH0iORIEoU3IXi+1WRuo/m4lXosFAE1CFBHTLsI4ok+XTIp+TZIkjIN6YBjQjdp1u6n470o8ZdVULFyMZfWPhF1xOYaB/c+JexWE3xKRHAmC0Kpknw/r1u1ULfvu2PYcoIoKJeKGcQSfPwhJee4tryYpFIScP5CgkX2xrNhM5eI1uEvLKH33A7QpyYRdNQl9j+4dHaYgCE0kkiNBEFqFLMvYdu+laum3uIvNAChNRsKvG0vIhGEo1Of+y41CrSL08pEEX5hB9dfrqFqyHmduHubX3kLftzfhV1yOJiG+o8MUBOEMzv1XK0EQ2pz90GGqlnyLMycXAIVBR9jV5xF6+SgUOs0Zzj73KA06Im68CNPEEVQuXkPNyi3Y9+6ncN8BgoYNIfTyiajDxfR/QeisRHIkCMJZc+blU7nkWxwH/AskSho1oZePJOzqMSiD9B0cXcdThQUTfeeVhE4aRcWnq6jL2kPdpi1Yt20neMx5hF5yEUqjmP4vCJ2NSI4EQWg2l7mEqqXLse3c5T+gVGKaMJTw68aiCgvu2OA6IU18JHGzpuI4VED5J99j35ODZc1a6jZsIPSSiwkZN1YM2haETkQkR4IgNJm3ro7Kr5ZQt2kLyDJIEsHnDyTihnGoY0Q30Zno0hNJeHomtu2HKf/ke1y5JVR+tQRnQSFRN00Ve7YJQich/hIFQWgSn8OB+c23cRUWAWAc3oeIaRehTYru4Mi6FkmSMA5OxzCoOzUrNlP23jKsW7bhqaom5o7bRDebIHQC596cWkEQWp3s8VDy7/dxFRahNBlJ/PudxD8yTSRGLSApFIROHEHCE7ei0GtxHs2m6J+v4S4r7+jQBOE3TyRHgiCcluzzUfbxf3EcOoyk0xD/xK3oeyZ1dFjnDMPA7iT+/U5UUaF4ysop+terOI5kd3RYgvCbJpIjQRBOSZZlKr/4Guu2HaBUEvfnG9F1E+v0tDZtUjRJf78TbfcEfLU2zG/Op27Lto4OSxB+s0RyJAjCKdWsXI1l7c8AxN57DcZBPTo4onOXKiyYxL/OxDiiD7LHS9mHn1D9/UpkWe7o0AThN0ckR4IgNKp2wyaqliwDIHLGpQSPGdjBEZ37FFoNcbOmEnrlaACqli6nfMFCZI+ngyMThN8WkRwJgnAS2569lH+6CICwq84j7IrRHRzRb4ekVBA1/VKi7rgCJIm6jZsxz/83Xpu9o0MThN8MkRwJgtCAIyeX0vc/Ap+P4AsGEXHzxR0d0m9S6MQRxD9+M5JOg+PQYYrnvYb72Ea+giC0LZEcCYIQ4CoppeTf/0F2uTFk9CDm7slICvEy0VGMg3uS9OwdqMJDcJeUUvyvV3Ec279OEIS2I171BEEAwFlQiPmN/8NXa0PbPYG4WVORVMqODus3T5saS9I/7kKbGou3xor5jfm4ioo7OixBOKeJ5EgQBKw7dlH86ut4a2rQJEQR//gtKPTajg5LOEYVEULi325H3z8N2eWmbMFCZK+3o8MShEa98cYbpKamotPpyMzMZOPGjacsu2fPHq677jpSU1ORJIl58+adVMbr9fLUU0+RlpaGXq+ne/fuPPvss206k1MkR4LwGybLMlXfraT03Q+QnW4Mg7qT+Pc7UJnEFhadjUKvJfb+61EY9bjyC6j5YU1HhyQIJ1m4cCGzZs3i6aefZuvWrQwaNIiJEydSWlraaHmbzUa3bt14/vnniY2NbbTM3Llzeeutt3j99dfZt28fc+fO5YUXXuC1115rs/sQyZEg/Eb5XG7KPlxA9bLlAIReNpL4x29BadR3cGTCqajCgomaeRkA1cu/x2U2d3BEgtDQK6+8wp133snMmTPp27cv8+fPx2Aw8O677zZafvjw4bz44ovceOONaLWNt1avX7+eq6++mkmTJpGamsr111/PJZdcctoWqZYSyZEg/AZ5aiwUv/Ym1q3bQKkg+q6riPrd5UhKMcaoswu+YBCGIT2RPV7/Gkiie01oBxaLpcHD6XSeVMblcrFlyxYmTJgQOKZQKJgwYQJZWVlnfe3Ro0ezatUqDh48CMCOHTv4+eefueyyy866zjNRtVnNgiB0Ss78AkreeQ9vTQ2KID1xD03F0L9bR4clNJEkScTcdRW5s17HmZtPzZq1hF40rqPDEjqhHyt6onZoWlSH2+oCfiQpqeF+ik8//TTPPPNMg2Pl5eV4vV5iYmIaHI+JiWH//v1nHcNjjz2GxWKhd+/eKJVKvF4vf//737n55pvPus4zEcmRIPyGWLfvoOyTT5FdbjQJUcQ9ehOauIiODktoJlVECJEzLqX0rS+p/vY7DP37oYmJ7uiwhHNYfn4+ISEhgZ9P1QXWFv73v//xySefsGDBAvr168f27dt58MEHiY+PZ8aMGW1yTZEcCcJvgCzLVH+3gupvvwfAkNGD2AdvQGnUdXBkwtkKGTeYuvW7se04TPl//0fc/feINamENhMSEtIgOWpMZGQkSqWSkpKSBsdLSkpOOdi6KR5++GEee+wxbrzxRgAGDBhAbm4uc+bMabPkSPwlCcI5zudyUfbBx4HEKHTSKOIfu1kkRl2cJElE//4qFHotzuycwAbBgtBRNBoNQ4cOZdWqVYFjPp+PVatWMWrUqLOu12azofhV4q9UKvH5fGdd55mIliNBOId5qmso+fd7uPIL/AOv77wS00VDOzosoZWoo0KJvHUipW9/TdXSbzH064s6KrKjwxJ+w2bNmsWMGTMYNmwYI0aMYN68eVitVmbOnAnA9OnTSUhIYM6cOYB/EPfevXsD3xcWFrJ9+3aCgoLo0aMHAFdeeSV///vfSU5Opl+/fmzbto1XXnmF3/3ud212HyI5EoRzlKvYjPnNt/FaLCiCDf6B1/3SOjosoZWFTBhKbdZu7LuOUv7f/xF77x9E95rQYaZOnUpZWRmzZ8/GbDaTkZHB8uXLA4O08/LyGrQCFRUVMXjw4MDPL730Ei+99BJjx45lzZo1ALz22ms89dRT3HPPPZSWlhIfH8/vf/97Zs+e3Wb3IcltucTkb4TFYsFkMpEy9zkUOtFVIXQ8T2UVRfOOrXidGEX8Yzejjgnv6LCENuIurSJ31hvIThcR100m5IIxHR2ScAo+h4PcR5+kpqbmjGN4ztbx96TLlt+J2tjy2WrfXvpOm8bbGYmPF4JwjvFabZjnvxNIjBL/drtIjM5x6ugwIm+5GIDKJctwV1R0cESC0LWJ5EgQziE+l4uSd97FXVKKKiKE+L9MRxls6OiwhHZgumQ4+r6pyE4X5f9d1Kb7TgnCuU4kR4JwjpC9Xso++Bhndg4Ko474v0xHHWnq6LCEdiIpFETfPRlJo8Zx6DDWLds6OiRB6LJEciQI5wBZlin/32fYdu9FUquIf/RmtEliUcDfGk1sOOHXjwWg8stv8NrsHRyRIHRNIjkShHNA9bffUffLRpAkYv80BX2flI4OCZ/TRcXCHyh4+l1K/70EZ67YJLU9hF0xGnVCJN7a2sCmwoIgNI9IjgShi7P8vJ7q71YCEH3nlQQN79PBEYG31kb5R99j25NNyPgh+BwuKv63Gm/dyS0ZXqudys9+JH/2fyh4+l1q1+1q8LzP6cZlrsRTYcHn9rTXLXRZklpF9O1XAP7/G878gg6OSBC6HpEcCUIXZt2+k4rFXwAQfsM4TBcP6+CI/Ox7c7DvzyVi6nhCxmYQMeVCvBYrltVbAZDrrWwruzwow4Ix9EvDZ3fizC1pUMZxII+S1z4j/y9vk33nixS/shB3WXW731NXYhjQjeAxA+FYd6vchisJC8K5SCRHgtBFOY4cpeyjT0CWCbl4GOHXX9jRIQXYD+ShDDEGFp1Ux4SjiYvEmX2sa63eRCplaBCm8UMIGt0fdVwEqtAg/xOShOzzoTDqiLjxItLm/5lu/3kUSaOm9N9L2vmOup7I6RNR6LW48vKpzdrQ0eEIQpcikiNB6IK8dXWUvv8RsseLcUQfom+/AkmSOjqsALe5CnWsf20l2etvtfA5XaA89pKjODlW2eXB53ChOL7nmywjKRTouidgGNAN2e1BUir809Vd/q424dRUYcGETx0PgOWndR0cjSB0LSI5EoQuRpZlyj5ZiNdSiyYhitj7r0NSdq4/ZV+dDWWQvsExb01doFWosUTOZ3eA14fiV+eBv4tNUvt3O3Lsz0Nh0KEKC26DyM8twWMGAuAuNuO1Wjs4GkHoOjrXK6ogCGdkWfsz9r37kNQqYv80BYW2ZdsDtAVJo0JSKPxJjVKBz+HCU1mLJtm/vMDx1iSAPrEl9IktwedwIft8J5KqYwmU7PMF9gqrWLQaZ04xoZeOQKFVt+9NdUEqkxFNYhQAjiPZHRyNIHQdIjkShC7EWVhE1df+8TaRt05EmxLbwRE1zji0F9atB/FU1QJQ/e0vKPRadN3iAeibUBZIio6LVZdiVDtR6LSBY/KxrjXZ66X03aVYN+0n6vZJGAZ0b98b6sL0fVIB/xg1QRCaRtXRAQiC0DQ+p5OyDz72jzMa2gvTpSM6OqRTMl0yAmeOmaI5H6MMMaJx1TLgtiHED/VRl3cAa5GEIS4ESZICXWwKpQKVQcOgETKSVMI+s38Xb2+dnbL3luGpqiXuzzeijg7zJ02daIxVZ6bvm0LNik0iORKEZhDJkSB0EZVffI27pBRlWDAx90zu1MmBpFQwetZgqvbFYy+tIzg5jIgMf6tR8dojOMqt9L3nPJQaJUcWbufgh5tx17lAlll33xdEZiTQc/owZI+XVQ9/g8/pJuEvt6KODvPX34nvvbM53nLkKijE53Cg0Ok6NiBB6AJEciQIXYB1+w7/dGxJIva+61CGGDs6JABktwf7/lysmw6gTohk1Iz6K3PriBl54ufjrT3ptwxtUEfadQOIPb8brho7rio7tXlVKFQKlBolloJqDEHgln3kPToffP41AMKuOZ+wyeeLJKkJVBEhqGPCcZdU4jiajaFvxy8SKgidnUiOBKGTc1dWUv6/RQCETR6DYUC3Do3HW2fHuu0Q1s37sW07hM/uBMDUMwpmnHrbklMlMgqVEmN8CMb4EABiRqcGngvpFsH5b13XoPzuIyEgi9aj5tD3TfEnR0dEciQITSGSI0HoxGSvl7IPF+CzOtClJxJxw/gOjadq6XoqPvq+wWwzTZie2NGpxI5Ja5cY+ne3BMYjCU2j75OKZfU2Me5IEJpIJEeC0IlVf78SZ3YOCr2W2AeuR1IpOyyWys9+pOLTVQAEp4YROyaNmDFphPWJQWpkUce2dHyW28YvypFUCozDeouWpNPQ900FwJmXj8/lQqHpfMs/CEJn0uWm8r/xxhukpqai0+nIzMxk48aNpy2/aNEievfujU6nY8CAASxbtizwnNvt5tFHH2XAgAEYjUbi4+OZPn06RUVFbX0bgnBGjiNHT2woe9eVqGPCOyQOWZap+HRVIDHqfUcm4z66iT6/H0V4v9h2T4yO89jdVL3/DcUv/JeCp/6DfX9uh8TRFaiiQ1FFhIDXizNH/J4E4Uy6VHK0cOFCZs2axdNPP83WrVsZNGgQEydOpLS0tNHy69evZ9q0adx+++1s27aNyZMnM3nyZHbv3g2AzWZj69atPPXUU2zdupXPP/+cAwcOcNVVV7XnbQnCSbxWG6UfLgBZJnhsRmCl4/YmyzIVH39P5Wc/AtD37lH0nNE5NrdFlkme1AelVoXjQB4FT/2HohcW4Coo6+jIOh1JksR6R4LQDJIsy/KZi3UOmZmZDB8+nNdffx0An89HUlIS9913H4899thJ5adOnYrVamXJkhObVI4cOZKMjAzmz5/f6DU2bdrEiBEjyM3NJTk5uUlxWSwWTCYTKXOfE9NkhRaTZZnSdz/EtnMX6rgIkuf+AYVee+YT2yCOsveWUfOtf9PS/g+cT7frOyZJOx1HuZUD724kd+k+/2w2hUTIuCFE3DAOVXhIR4fXadSs2Ezp21+jS+9O3L13d3Q4v1k+h4PcR5+kpqaGkJC2+f95/D3psuV3oja2rAvVbXXx7aXvtGm8nVGXaTlyuVxs2bKFCRMmBI4pFAomTJhAVlZWo+dkZWU1KA8wceLEU5YHqKmpQZIkQkNDT1nG6XRisVgaPAShtdRmbcC2cxcolcQ+MKVjEiOfj9K3v/EnRhIMfPjCTpkYAegijQx6ZBzjPriR2PPTwCdjWbWFvAf/hSO7uKPD6zT0ff0zCZ05ucgeTwdHIwidW5dJjsrLy/F6vcTENJylEhMTg9lsbvQcs9ncrPIOh4NHH32UadOmnTZDnjNnDiaTKfBISkpq5t0IQuNcZjOVX3wFQOTNE9B1j2/3GGSvj5I3v8SycjMoJDIev4jUq/q1exzNFZwazoh/XM6YN6/F1CsKr91N6ZtfIHu8HR1ap6COj0QZYkR2e3Dm5Xd0OILQqXWZ5Kitud1ubrjhBmRZ5q233jpt2ccff5yamprAIz9fvNAILedzuyl9/xNklxvDoB6EThrV7jHIHi/m1z6j9sftSEqJIU9NIPmy3u0eR0uED4gj84UrUAdrceaYqVq6vqND6hT84478rUdi3JEgnF6XSY4iIyNRKpWUlJQ0OF5SUkJsbOObb8bGxjap/PHEKDc3lxUrVpyxX1Wr1RISEtLgIQgtVfXVEtzFxShNRmLuvTawE317kd0eiv/5P+rW7UJSKRj614kkTujZrjG0Fl24gX73ngdA1f9+wFVc0cERdQ76fqmASI4E4Uy6THKk0WgYOnQoq1atChzz+XysWrWKUaMa/4Q9atSoBuUBVqxY0aD88cTo0KFDrFy5koiIiLa5AUE4DctP67D8tA6AmD9eiyo0qF2v73O5KXrpU6wb96FQKxj+3GXEj+3erjG0tqTLehM5NBGfy0vp21/TheaetJnAjLWjOche0d0oCKfSZZIjgFmzZvHOO+/wwQcfsG/fPu6++26sViszZ84EYPr06Tz++OOB8g888ADLly/n5ZdfZv/+/TzzzDNs3ryZe++9F/AnRtdffz2bN2/mk08+wev1YjabMZvNuFyuDrlH4bdFlmWqV6yiYvEXAIRdcwHGwentGoPP6aJ47gJsWw+i0CgZ8fwkYs9LbdcY2oIkSQx6+EKUWhX23dlY1mzr6JA6nCYpGoVRh+x04ioU67kJwql0qeRo6tSpvPTSS8yePZuMjAy2b9/O8uXLA4Ou8/LyKC4+MTtl9OjRLFiwgLfffptBgwaxePFivvzyS/r37w9AYWEhX3/9NQUFBWRkZBAXFxd4rF8vxikIbc++/yBVS74FIPz6C4mYdlG7x1D+0ffYdh5BqVcx8qUriR7RtCUsOlpTWoKMCSZ63T4CgMoPl+EqLG/rsDo1SalA39v/7+s4mt3B0QhC59Xltg+59957Ay0/v7ZmzZqTjk2ZMoUpU6Y0Wj41NVU0tQsdSqH3r4slqZSEXj6y3bfAkL0+6rL2ADDkqYuJHJzQrtdvCZ/Li8fmQhtmOG25blMGUbz2KFW7zRTN+Zikf9yJMsTYTlF2PsrQYMDfYigIQuO6VMuRIJxrtCnJaBLikT1eLKu3tvv1HUcK8VqsqII0xIxKaffrny3zumy2PreSn+7+jDW3fUr5tkKg8dYkhUrBiH9chiEuGHdJJUUv/Bef+7e7zs/xpQ06cp8+QejsRHIkCB1IkiRCzvfPqqr5flOD3e7bg23rQQCihyeh6CJvlhU7i9jzxno0Jh0XvDOFxEt7ceC9TXhsrlO2vGnDDGTOvQJVkAbHgTxK3/zyN9tqHEiOlF3j31voepqzB+qePXu47rrrSE1NRZIk5s2bd1KZOXPmMHz4cIKDg4mOjmby5MkcOHCgDe9AJEeC0OGMQwej0Otxl1Rh236oXa9tPZ4cjUpt1+u2xN63sogYGEf/+89HE6wjfmx3XDUOKnc3vrjrccFp4Qx/9lIkpYLan3dSuWh1O0XcyYjkSGhDzd0D1Waz0a1bN55//vlTLsvz448/8sc//pFffvmFFStW4Ha7ueSSS7BarW12HyI5EoQOptBoCMocDkDNqvbrWvNUWnBmF4MEMSO7xiDsmsPlVO0tIX36MJQa/5u7xqRDUkq4ahxAw641r9NDzcEyfMcSgqhhSQycdQEAlYvWYPlpRzvfQcc70a3W5YacCl3AK6+8wp133snMmTPp27cv8+fPx2Aw8O677zZafvjw4bz44ovceOONaLWNb5W0fPlybrvtNvr168egQYN4//33ycvLY8uWLW12HyI5EoROwJjh37fMcbig3a5p3eZvpQrtHX3GQc2dRf6yfYT3i8UYH4Ls8ydB1sIaLEcqiM70J3j1u9ZqDpdz9LOdrLzhI3b+cy2uGgcpV/Wj+7TBAJS99QX2fTntfh8dKbC+kWg5Eprh1/uJOp3Ok8qczR6oZ6OmpgaA8PDwVqvz18RHB0HoBDRx/uZkb1UtnhorKlPbz6aybvF3qcV0YJeaLMsUrjhI4arDaEJ06GOC0McGo48JxhAThCEuBIX6xJt4zeEK4i7oBoCk8CdB2Z/tImJgHJoQHbIsN0iOjPEh9Jg2GJVeTUlWLkkTe6Ex6ej7h1HYimoo/vEopS8vIO7Z36OJ+20sACsGZP92HCiJQmnQtagOr83fIvvrPUSffvppnnnmmQbHTrcH6v79+1sUx3E+n48HH3yQ8847L7AsT1sQyZEgdAIKnQ5VZASe8gpceWZUA9p2dWqf24Nt5xEAYkZ3zCw1t9XFzpfXULji1OOsHlgwlOykkQD4PD5CukdQc/jEWkWW7AoKVx5i+D8uAzhpQLY2zODfhkWGiEHxhPX1v2hLConBT07AXvIl1ftL/VP8/34nyuCu0YLWEicGZIuXf6Hp8vPzG2yVdaousLb2xz/+kd27d/Pzzz+36XXEX4cgdBKa+Hg85RU4c8wY2jg5su/NQXa60IYbMKVHtem1GlO1x8yWv63AVmRBoZS48LZk9CEqqooc/kex/2tYnI60yBOfOOPGSyyZV0j0zp9wWL3sXlhI1PAkokckI3t9SMoTIwWOtyJV7TFTV1BD4iX+feJ8bi8KtRKP1UXE4AQsR8pxF1dQ8My7JD//ByT1uf2yKGarCWejKfuIns0eqM1x7733smTJEtauXUtiYmKL6zudc/tVQBC6EE18HLadu3Dmlpy5cAsdn8IfMyol0D3VHmSfzOEFWznwnw34PDJh8Tqmv9SPtMGhJ5dtZKp9v3GR1FW7+OaVw4REahl8WTQDJkQRGtl4k/3K4nSq9pWgUEonWsiOtS7tnZ9FzcEyet85kv3/3oArr5T8Z94j6bk72n0xznZ1LDlCdKsJraz+HqiTJ08GTuyBeqrFm5tClmXuu+8+vvjiC9asWUNaWlorRXxqIjkShE5CkxAPgCv39FPSW8OJKfzt16XmKLey9dkVlG/1L9g4+LJopjzTG0OIutHyp0pQMq+JJ/OaeOy1HvTB/pewtR/n02NEGPE9gxqMO0ov28yW7EpC+8agCdYh+2QUKn/rkuzx0WPaYJIu7U1It3B++fMSnAfzqVy0mvAp487ZBEm0HAltadasWcyYMYNhw4YxYsQI5s2bd9IeqAkJCcyZMwfwD+Leu3dv4PvCwkK2b99OUFAQPXr0APxdaQsWLOCrr74iODgYs9n/GmkymdDr9W1yHyI5EoROQpMQB4CroAzZ422zAbOuonLc5koklYLo4UlnPqEVmNflsOf577FWu9HoFVz7l15kXhvXogREH6zC55ORJDCGqTm0oepYcgRetw+VRoH5iJVgZxWxo4cBIPt8SAolPo+XiIx4KrYXkXRpb6IzU4gelUJpVi6Vi9agSYgi+LwBrXX7nYqYyi+0palTp1JWVsbs2bMxm81kZGSctAeqQnGi+7uoqIjBgwcHfn7ppZd46aWXGDt2bGBLsLfeeguACy+8sMG13nvvPW677bY2uQ/x1yEInYQqLAxJq/XvmF5UjjY55swnnYXjrUYRg+JRGTRtco3jvE4Pe99aT/ZnuwBI6BPE9Jf7E5PWOrPxFMe6BIdOOjGeoTzXzmfPHcBR50EXrCKuZxDXjK7gh/IoFColXpeXrFlfoTZqqdpjZsV1HxDSIxKvw0PU8CTKNuVT8sZnqCJN6Ht1jfWfmkO0HAltrTl7oDZlj9OOWM1erHMkCJ2EpFCgife3HjnbsGvNWm+8UVuqza7kp98vDiRGY2ck8adPh7daYnQq0WkGbprTl5RBIRQfqOOXz4rY/HUxF4T4m+7zlu6lLreaQQ9fyKVLbqfX74bjdXkY/JeLGPniFcScl4rs9lH60ie4S6raNNaOIJIjQTgzkRwJQicSGHeU0zbJkc/uxHFs0cO2Wt9IlmVyv97Dz3ctxHKkgqBwNXf93yCueawnKk37vOSYorVc+0Qv/vbT+Vz3ZC+2fVtKTZmT8ZH7sRypIKxvDLpII7Isk3Rpb1R6NcWrjyApFQydfTGm9Ehc1XaK5nyM12pvl5jbixwYkC06DgThVERyJAidyImWo7aZsWbbeQTZ48OYaCIoObTV63fVOtj81HfseHENboePXqPDeeTLTPpeENnq12qqEZPjuPOtQUQk+AduXn+rAXedk8IfDiFJEjWHK7AW1CD7/Jv+KvVqRsydhC7KiKuwjOKXF55IKM4BouVIEM5MJEeC0Ikcbzlqq261E6tit36XWsWOIn68bSHFPx5BqZa46uEe/P6dDEKiOmaxuFNJ6hfCpdPC2P/OBlZM+ZDd//oJfUwQqdf6B2BLkoQ+KojMuZNQ6lXYdx2l9N9LOmTcQ5sQK2QLwhmJdlVB6EQ0cbEgSXir6/DU1KEyBbVa3bLPh3Xb8Sn8qa1Wr8/j4+CHmzn0wSZkH0Qm65n+cn+S+59+wbiONGJyHCMmx/HF+gi8Li+hvaJQqJUNlgEwpUcx9OmJbHxiGZZVW9DERxB21ZgOjrxlZFkWLUeC0ASi5UgQOhGFVosq0r/Hl/NocavW7cw2462uQ6lXETEovlXq9Hl8/PLQ1xx8z58YDb86lj9/PqJTJ0b1XTO6gvD+sYH92369tEDsean0v/c8AMo//h7rlgPtHmOr8vpOfC+2DxGEUxLJkSB0MrpUf5dX2X+W4qmpa7V6PZX+nax1EUaUmtZpNajYXkj51kI0egW3vNCPm5/vh854br3ppl0/kJSr+4EMVV+17X5Obc1TVev/RqFAoWl88U1BEERyJAidTtiVk1CFh+EuqaRozsf47M5WqVffNw2FWoG1oAbL0YpWqbMurxqAnqPDGXZly/dO6owkSaLHNP8idY6D+YFdyrsi+/5cADSJCWIRSEE4DZEcCUInozKFEHv3XSiDDTiPFLXabCmlUYd+kH/z1aIfDre4PoC6/GoAolO67m7240+xL1t9xgT/7D7Z66P2xx3tEFXbsO/zJ0e67t06OBJB6NxEciQInZA6OoroO25H0qqx7ThMyVtftspsqaDR/QEoXHWoVeqzHkuOolK7bnLk88q4as/cGpR23UAAqpasR/Z2zan9jr3Hk6O237hTELoykRwJQielS00hesZ0UCioXbuDik9WtLjOoGG9UGiU/q61Q+Utri/QctRFk6MtS8z8ZfRadr2y9oxlky7vjcakw1NaRd2Gfe0QXevyWqy4CssA0HUTyZEgnI5IjgShEzP060PkjVMA/2DgqqVZLapPoddiGNwLgMIWdq15XV5sZv8A367acmSK1mK3eCjfWnDGljSVTk3qNf6Wt6qvf+5y6x7Z9+cBoI6NQWls2y1cBKGrE8mRIHRywZnDCZt0GQDlHyyndt2uFtUXdJ7/Db7oh5Z1rdmKasAnozUqCY5s2w1s20pqhgm1VoGz0k5dzpn3UUu7diAKjRLnkSLse3PaPsBWFBhvJFqNBOGMRHIkCF2A6eLxBJ8/GmSZktc/x7b76FnXZRzSE6Veha24lup9pWddT/0utV+vD9TRnFYPlrIzz/JTaRSkDQkFoHxrwRnLa8P0JF3WG+h60/rtx/bUE4OxBeHMRHIkCF2AJElEXDsZw6AByB4vxS/8F+dZbk6r0GrQD+kDQOEPh846JmuBf92kztSlVpZr4/N/HORvF67lb+N/puhA7RnPSR8Z5j93a2GTrtF9agZIYNt2CGf+2SeX7clnd+LM9v9/EcmRIJyZSI4EoYuQFAqibr0JXfdu+OxOCv/xEe7SM3cFNSb42Ky1otVHkH1n17XWWWaqybLMgXUVvHP3Dv5xWRZrP8rHWifj8cDu1WcedJ6e6U+OKrYVItdfQfoUgpJCibvAn2BUfb2uZcG3E/vBfPD5UIWHoQoL7ehwBKHTE8mRIHQhCrWa6Dtmoo6LxVtVS+HfP8JrsTa7HkNGDxR6LY7SOip3n10L1PFutagOWuPIafOybmEBc6/cwFt3bGfPmnJkGS4Yp+W6G/QAHN1ac8Z6kvoFozUqcdc6qTnctMUxux9bFLLu5x14KixnfxPtxHFsvJFWjDcShCYRyZEgdDFKg57YP9yJMjQUd1E5Rc9/gs/halYdCo0a4zD/2Jmis+xa66hp/JWFdr5+8RB/Hf8zi545gPmIFYNB4pbbDCxfE8W/Pwznltv8s7Fyttfg856+ZUypUtB9WCgA5dvOPO4IILxfLOED45A9Pqq//aVF99MexOKPgtA8IjkShC5IFWoi9u47URj1OA4VUPzP/zV7YcLArLXVR5rUnVSfx+bCWWEDIDJF36xzz4YsyxzZVMW79+/kuUvW88O7edhqPCQlK3ni6RB+2hTN7GdNdOvu3xKjVx8VRqOEo9aD+fCZ96dLHxkOQPmWpo07AgJbitSu3NiptxTxuT04DvmTPjFTTRCaRiRHgtBFaWJjiLnzdiS1CtvWg5T+3zfNmppvHNgdhVGHs9JGxc7iZl27Lt/fXRUUocYQ0nYbmLqdXjZ8XsSL127ktelb2bmiDJ8PRo3RMP/dML5fG8VtdxgJDmn4UqZSSWQM8cd1dMuZu9YC4452FOFr4lYtMaNTCUoJw2N1YVm1pZl31n6cR4uQ3R4URiPqmOiODkcQugSRHAlCF6ZLSyVqxq0gSVhWb6Vy4Q9NPldSqwgacWzW2qrmda1Z27hLrbrEwdJ5R3hm3Dr++5d9FO2vQ6eDqTcbWLIikg/+G8H4i3UoladeQmDIcP/aS9nbqs94vfheQRhMKrx2N9X7y5oUo6SQ/DPXgOqlWa2y/11bONGlltbpllwQhM5KJEeC0MUZB/Qj4obrAKj87Eeqv9vY5HOP77VW/ONRfJ6md621xWBsWZbJ3lbDBw/t5rkJ61jxfzlYq9zEJyh5+Ilg1m6M4dnnTfTs3bSWqqHHkqOmtBwpFFKg9agp6x0dl3hJT7ThejwVFmrX727yee3pxOKPYryRIDSVSI4E4RwQMnokoZdeAkDZf5ZSt2Fvk84z9O+GItiAq9pO+bamj7exFlQDrTON3+vxsfnrYv45dTP/umkz25aV4PHA8EwNr/1fKCt/juLOu4MIDWvey9WgwWqUSqgqdlBVfOYxQemZx8cdNT05UmpVJzak7YRbisheH45j24aIzWYFoelEctSKfC53R4cg/IaFXnoxwaNHgixj/tfiwIrIpyOplARl9gWgqBl7rbXmTLWl/zzCx4/uJW+XBY0WrrtBz5ffRvLJ4ggmXq5HpTq7riCjUUGfvv5Wpuyt1Wcsf3wxyOrdxXidniZfJ/Wa/ij1Kly5Jdh2HjmrWNuKK78Un82BpNWiSYjv6HAEocsQyVErMr8xH1dhUUeHIfxGSZJExPXXYBjQD9ntoWjuAuwH8s543vEFIYvXHmnSYGRZlrHmt87q2D6vzIYv/IPB77zbyNoN0cx5OZS+/VtnkPfQEccGZTdhvaPoNAMhURo8Lh9Ve5q+9pMmWEfKFf4Es7NtKXK8S02bmoKkVHZwNILQdag6OoBzidtcQuELr6BNTSFo+FCMQzJQGjrP1gpC65C9Xqzbd+K1WJBUKiSVClQqJJUy8POpH0oktdp/jlLZ6gNkJaWSqOm3YH7z/3Bm51Dw5L8JvfI8Im+95JTX0vdNRWkKwl1TR/7yA4E3+lPx2Ny46/z7ln361D5GXZ9AxmXR6IzNfzkxH7FirfK3uC740Ma6n5wkJatITFKSlKz0f01RkZCgRKNt/u8qNNT/+S9/95kXapRlCI3VYSlzUbnbTOSQxCZfp9sNgzi6eCf2XUdxV9SgjjA1O9bWJssydb/sAUSXmiA0l0iOWlFQt77U5ezHmZOLMyeXyi++xtC/L0EjhqHv3Ut8cjsHOI5mU7Hoc1xFzZv6fkrKegmVWo0mLhZ9zx7o0nugSYhHUjS/cVehURNz5+8o++S/2Pfso/qbdajCggi78rxGy0tKBaFXjqLi4xXsfvVnIockYIw/9Zu7yqAm6fLeFH53gNwdFnJ3WPh8zkEGXxrNyOvjSc0wNTnpi0jQ0feCCPaurcBqldm728Pe3Sd3aUkSxMQqSExS+ZOm5OPJk//nqGgFCkXDa/6y3smbr/rXOOpzQcQZY1k67wh5uywo1RKRQ5ueGAEotWo4NtxIodM069y2UrtmO/a9Of5ZiUOHdHQ4gtCliOSoFSVecQs+t4uafVup3r0JZ3kx1u07sW7fiTI4GOPQwQSPGCb6/rsgb20tlV8vpW7jZgAUBgPBKb2QvV58Xg+yx4PsPfbwePzHAg/vied9v+q28nr9zzv9LTH26mrs+/b7r6HXo+vRHV16d/TpPVDHxTY56VAaDcTedTs1P6yh8qsllH/4HarwEILPG9Bo+bArzsO65SCOfblsfXYl5712DQpV44mZJEkMfvwi+tw5kvzvDpC3dB/W/Go2fF7Mhs+Lie5mYOS18Qy/OpbgSO1p49QaVdz1fxk4bV4qC+1UFNipKHBQkW/3/5xvp6LQgcvmxVzsw1zsYnMjk/E0WkhMOpEsxcUrefvNOtxuGHxZNJfcffqWk6xFhax6x98FNfCRiwjvF3va8r9WtbfEH0dCFEpj2y+KeSae6jrKPlgOQOill6COPHNyKAjCCSI5amXqoBAih19IxLCxOEoLqd6ziZp92/DW1mJZsxbLmrVoEuIJGjGMoKGDUQYHd3TIwmnIPh+167KoWrocn90OQOjATGLOn4TKENT8+mTfsUTJi+ytl0R5PPhcTmzFudjyDmPNP4LPbse2aze2Xf4p4oqgIPTp3dGl90Cf3gNVVOQZk6WQcWPxVFVjWfszJa9/jiosGH3f1JPKSUoFsfddR8HDr1O128yhj7bQa+bw09atizSSfvMQetw0mMpdxeQt2UfJmoOUHrXx9UuHWTLvCP3GRjLyunh6nx+O8hTJFoDWoCQuPYi49JN/p7IsY61yU55vp/J48lTgT6QqC+xUFTtxOWWOHvZy9HDD5DNtsImb5vQ9qVWpvgPrKlj01wMA9Jw5nKRLe532vhtTtffYjvc9m9fi1FbK3l2Kz2pHk5iAadzYjg5HELockRy1EUmS0Mckoo9JJHbsVdRm76N69yZqj+7FVVhE5RdfU/nVEgx9exM0fBiG/n3941CETsOZm0f5os9x5R/beiE6gbiLr8MQn3rWdUqSAkmtgVOMNzYkpMKwscg+L/aSAqx5h7HmHcZWcBRfXR3WbTuwbtsBgDLUhD7d3wWnS++OOjy8ketJhF9zFZ7qamw7d1P0wgISn70DbdLJKyWro0KJuP1KSl79jIMfbCJ6RBJhTWhBkSSJiIHxRAyMx/3A+RStOkTe0n1U7S1h16oydq0qIyRKw/DJcYy8Nr7Zg7glSSIoXENQuIbUQSd393k9PqrNTn8rU8GJ1idJgmuf6Ilae+ru7OJDdbz34C58XpnES3qeMSE8lao9/pYjXXrHJ0d1m/ZRl7UHFAoip90guvMF4SxIcmdbmKMLslgsmEwmet//D5Ra3WnLeuxWavZto2bPJuzm/MBxhcGAcUiGv9stOUmsZNuBvFYrVUu+pTZrA8gyCr2O6NGXE54x+qzGALUGn8eD3ZyHNe+QP1kqyoFf7aWmiohA17PHsYSpO6qQkBPnu9yY35iPMycXVaSJpL/fiSo8hMYUz1tE3bpdGBNNjP3PDagMZzeGxpJdQd7SfRQsP4Cr5sQ6Q92HhZJ5XTyDLolGa+i4N25LmZN/3riZqiIH4YPiGPXK1Sg1zY9H9vr49vJ/47G5SX7xHrSpzeuSa00+p5vc+/+Fp9KC6aJxhF81qcNiERrnczjIffRJampqCAlp/G+wpY6/J3X74AmUhtO/J52J1+bg6Ix/NCveN954gxdffBGz2cygQYN47bXXGDFixCnLL1q0iKeeeoqcnBzS09OZO3cul19+eYMy+/bt49FHH+XHH3/E4/HQt29fPvvsM5KTk1t0f6cikqNW0JzkqD5nRQnVuzdRvXcznroTs2nUMdEEDR+GcfAgMVagHck+H3UbNlH5zVJ8Vv+mqqZ+w4gdeyUqY+fq/vS5XdiKcvwtS7mHsJfkg6/hCtfqmGj0PdMJGT8WdXg43jorxf96HXdpGdrUWBL/djsK/cljgrxWO3kPvYmnoobkSX3IeGx8C2P1Yl6XQ97SfZRtzEU+FqbWqGTIpBhGXhdP8oCQdv1A4LJ7eX3GVvJ2WTAmmjh//vVoTGf3JmLJrmDN9E+RtBq6f/B4h7bU1G3cR/GL/0VpMpH45GMoNG23751wds715GjhwoVMnz6d+fPnk5mZybx581i0aBEHDhwgOvrkFuv169dzwQUXMGfOHK644goWLFjA3Llz2bp1K/37+5cZOXLkCCNGjOD2229n2rRphISEsGfPHkaOHNlona1BJEet4GyTo+Nknw9r7iGq92zCcngXsvvEYpKahHgMgwZiHDQATWxMa4Yt1OMsKKRi0ec4c46tCxMZS9zF12NM7BpbLnhdDmwFR7HmHsaadwhHWZF/bjqgCg8j7sH7UJlCcJdXUPzqq3hrrBgGdSf+sVuQVCe/mdv2ZFP41/dAhuF/v4y4C1rn92AvrSN/+X7ylu7DVnTiA0FczyDG3JTA8Kvi0OjbNrnw+WTef2AXO1eWYQxVk/nWDQQlhp51fblL9rJj7mr0/VJJfOZ3rRfoWTC//jm1P24nZOz5RFx7dYfGIjTuXE+OMjMzGT58OK+//joAPp+PpKQk7rvvPh577LGTyk+dOhWr1cqSJUsCx0aOHElGRgbz588H4MYbb0StVvPRRx+16F6aQywC2QlICgVBab1IvOIWet39V+In3oAxOR0UClyFRVQvW07hnBcp+McLVC1djrOgsNNtU9BVeW12KhZ/QdFL83Dm5CJptcRceBXdpz/UZRIjAKVGR3C3vsSOu4ruMx6i1x//RtLVt6EJi8JTWUXJ2//B53Cgjowg5o47kLRqbDuOUPJ/Xzf6f8nQL42wq8YAsH3uDzjKra0Spz46iJ7Th3HRf29h9KuTSbykJ2qtguKDdSx65gDPjPuZr186TFXRmbf7OFvfvHSYnSvLUKolMv5+RYsSI6g33qhHx443kj1erJv9A8sNA/t3aCzCucdisTR4OI/NsK3P5XKxZcsWJkyYEDimUCiYMGECWVlZjdablZXVoDzAxIkTA+V9Ph9Lly6lZ8+eTJw4kejoaDIzM/nyyy9b7+YaIUYAdzJKrY6wgSMJGzgSj62O2sO7sRzcSV3eIdwlpVR/v5Lq71eiiozAOHAAhkED0KYkizFKzSTLMnWbtlD51RJ8df61cEJ6DyZ23FWogzp+Ab+WUumNhPQciC4qniOf/gtXQSGl739EzJ2/Q5ucRPSMWyl55z1q12xDHWUi4oaTu84ipo7HtvMIzuxitv1jFSNfuhLpNLO+mkNSSEQOTiBycALuBy8gf/l+jn62E1uhhR/+k8ua9/MYMCGKsbcmkTak6esmncnP/y1g9Xv+VcMHPTGBiIEtX1bj+DR+Xc+kFtfVEvZ9ufisdhRGI7puYtFHAbxmA7KuZS1HPoe/DSUpqeH/76effppnnnmmwbHy8nK8Xi8xMQ17OWJiYti/f3+j9ZvN5kbLm83+GaClpaXU1dXx/PPP89xzzzF37lyWL1/Otddey+rVqxk7tm1mY4rkqBNTGYICiZLXYaf2yB5/opS7H095BTU/rKHmhzUoQ02BREnXLa3DBg13Fa6iYsoXf47zSDYAmvBo4iZcS1BKzw6OrPVpwiJJnXwn2f97A/u+A5Qv/IzIaVMw9OtLxA3XUbFwMZWL1qCKMGG6aGiDcyW1itgHrqfg0bco25RP9mc76TZlUKvHqA7W0m3KINKuHUBJVi5HF+2gfGshO74rZcd3pST1C+aCW5MYfFkMKs3Z/9/eu7acz57zt6z0viOTxAkt//f22FzUZlcAHT9TrW7jPgAM/fuJ1wCh1eXn5zfoVtNqT7+GWWvxHRtLefXVV/OnP/0JgIyMDNavX8/8+fNFcvRbp9TpCe03jNB+w/C6nNRl7/MnSkf24a2uwbL2Zyxrf0YZHIxhQD+MgwaiS+8upvHW43M4qPr2eyxrfwafD0mjJmrkJUQMG4tCee7+Kejjkkm6Yjp5X7xL3YaNqMJCCbvsEkJGj8RbVU319yspffsbVOHBGAc3TBg0CVGE33opZf9ewt75WUQOSSSke9tMEpCUCmLHpBE7Jg3LkQqOLt5J8Yr95O+p5ZPH9vL1S4c578YEzpuacMbFJX+tcH8tH/xpN7IPki7rTfr0oWc+qQmq9pWCDKpIE6qwjhu0L8sy1k3+5MgoutSENhASEnLGMUeRkZEolUpKSkoaHC8pKSE2tvFZnLGxsactHxkZiUqlom/fhtsa9enTh59/bru9DMXHiy5IqdFi6pVB0pXT6XXv30i65neY+g1DodXjra2ldv0vmN96m7wn/0rZJ59i270X2dP0XcbPNbIsU7d1OwX/eAHLmrXg8xGcPoAeMx8jKvOiczoxOi64ez/iJlwHQPXy76n9xb/MdOjlEwkaPhR8Popf/h+OIydvnGy6ZDjGoT3xubxs+duKZu1Yf7ZCukeQ8eg4xi++jd53ZqKLNFJb7mL569k8M34dnzy2h/w9Z94vDaCm1Mk7d+/AafMSOSSBQQ9f2GrddMc3qNWld2yXmvNoEZ4KC5JGg65XeofGIvx2aTQahg4dyqpVqwLHfD4fq1atYtSoUY2eM2rUqAblAVasWBEor9FoGD58OAcOHGhQ5uDBg6SkpLTyHZxw7r8rnOMUKjUhPfoT0qM/Pq8HW95hLAd3Yjm8G6+tjrqNm6nbuBlJq8XQtzfalBQ0SQloExNQtLAvujPz2mw4s3NxHM3GfvAQrjz/mlKa0AhiL7qW4G59OjjCtiN7vdTl7MdyeDfxF1+PpPC3HoZnjMZdW035LyspX7gYpcmEoU8vIm+cgsdSi+PAQYrmfEzS3+9EHRMWqE+SJKLvnkzhw69Re7SCfW//Qv/7xrTLvWhD9fScPoweNw2meM1Rji7eQdWeEjZ9ZWbTV2a6DQ1l7PQk+o+PbHQFbqfVwzt/2EG12UlQShjDnrsUhbr1WlOr9x0fb9Q5utT0fXujUIvp+0LHmTVrFjNmzGDYsGGMGDGCefPmYbVamTlzJgDTp08nISGBOXPmAPDAAw8wduxYXn75ZSZNmsSnn37K5s2befvttwN1Pvzww0ydOpULLriAcePGsXz5cr755hvWrFnTZvchkqNziEKpIiitN0FpvYm7+HpsBUf9idKhnXjqLA1WVwZQR0ehSUxAm5SIJjEBTWIiSkPH7wvVXLIs46moxJGdg/NoNo6j2bjNDZtpJbWKyBEXETliPArVuffmIcsy9sIcqvdtwXJgB167f3ZZSM+BBKedSASjx1yG21JNzd7NlL73IXH33Y02KZGY302n+NU3cRUWUfiPj0h67g6UwSdWslaZgoj4/bUUP/8JR/+3g7LNBSiUEpJKgaRUICkk/1elhKLBz/5jDZ47/nO9MuogDUkTe6GPabxrSqFSkjAhnYQJ6VTtMfu73NYc5uiWao5uqSYsTsf5Nycy8vp4DCb/v6/PK/Phw3so2FdLULiazBcmoQluvQ8EsixT2UlWxrYeS46MA0SXmtCxpk6dSllZGbNnz8ZsNpORkcHy5csDg67z8vJQ1BsTN3r0aBYsWMCTTz7JE088QXp6Ol9++WVgjSOAa665hvnz5zNnzhzuv/9+evXqxWeffcaYMW33IU2sc9QKWrrOUVuTZR/2ojzqcg/iKCnAUVKAu7a60bKqyAi0iQlokhLRJiaiSUpAaTS2b8BnIHu9uAqLcBzNPpYQ5eC1nNzFogmLwpCQiiEhjaC03qiDQ9s/2Dbmrq2mcvt6avZtxV1TGTiu0gURkZxBTM/z8PaJwef14Cw3o49JxOf1kLf4Hax5h1CGBBP34H2oI8Lx1NRQ9MpreKur0fVKJmH2jJMWESz99xJqvmtk59dWoFArSJ7Ul/RbhpwySarPXlZHzpe7yf1qT2AFbo1ewbCr4rjg1iTWLyxk7Uf5qLUKMv91TbM3kz0Ta5GFVVM/QlIp6PbBXzpswUVXUTm5D7wKSgXJz/21S37A+S1pz3WOUuY+1+IegvaItzMSLUe/AZKkOJYkpAaOeWx1OEoKsB9LluwlBbhrKvGUV+Apr8C6fWegrCo8DE1ior+FKcnf0qQMav6mq2fL53DgyM7Fme1vFXLm5iG73A0LKZXooxMxJKQFEqLOtqp1a5FlH5Lk/+TlsdVR/stKABRqLeEJ/YlIHYIptkegO82bY2Pfhg+wF+eROu2P6GMSSZp8G9kLXsdZXkzJ//2buAfuRWUyEfuHOyh+9XUcB/IoefUzYmfd0GDmU9TMywk+fyCy043s84HXh+zzIXt94JOPfT3287HnTvXziWMyziOF2Pfm+JOdJXtJntSH9FuHYjhNkqSPCqLPnSPpOX0YBSsOcnTRTmqPVrB+YSHrFxYGyg36y8WtnhjBic1mNSlxHboSdd2xgdj69B4iMRKEViKSo98olSEo0AV3nMduxVFaiMN8ImlyVZfjqazCU1mFbeeuQFllqAltUiLq6GgktQpJdeyhVMLx71VKJGW9748dR3ni+5OOK5V4q2tOtApl5+AqKg6s9nycQqsPJEGGhDT0sUko1Ge3B1hX4HXYsRzcQc2+bahDQkm4bBrg3ww3On0UIdHdCU3oi1J18u9AUqhQOmV8bid5n/2btJvvR2MKJ+X6Ozn6yau4S0op+fd7xN5zF5q4WKJ/dxsl89+hbsNeyj/8jqjbLjtRl1KBvlfb7GVk25NN5aI12Pdkk/vVHvKW7mtSkqTUqki5oi/Jk/pQsa2Qo4t2UrIuG1mGPr8fSfy4Hm0Sb/XezjHeyLrh2BR+0aUmCK1GJEdCgEpvJCilZ4P1frwOO47SwgYtTK6qMrzVNdiqa4A97RKb2hRxolUosRvaiOhA68m5yufxUHd0L9V7t1B3dB+y1z9LTKHRkt7vusAsu+Dh1522HoVSRfr5M9i74g3sNWbyPnuHtJvuQx0cSsp1d5K98DWcR7Mp//i/RM24BX16DyJvvpGyDz6hemkWqkgTYVeMbvP7NfRLw9Av7dRJ0i1DMMSeullfkiQihyQSOSQRa5EFR1kd4QPj2izeqk4w3shTVYvjUAEAhgH9OiwOQTjXiORIOC2lTo8xuQfG5BOfvr0uB47SIhzmfFyWKmSv59jDe9L3Ps+pnwt872u4uzwKBbrohECrkCEhDXXQb6evG6Bq5y+Y13yDz2kPHNObYohIHUJkyuBmLz+g0ujpdeEd7Pn+NZwVJeR98S4p19+FLiqO5KtmkrP4bazbd6I0fUP4NVcRNGQw3uoaKr9aQvmH36EKCyb4vAGtfZuNOp4k2ffmULFoNfbdJ5Kk+Au7kzAhnegRyaeddWaMD8EY3zb/Zzw2F0Wrj1BzqAzo2Gn8x2epaVNTUJm6/srugtBZiORIaDalRocxsVur7T0my756CZMXhVpzTneRnYksy9iKcvE57aj1JiJTBxOROgRDaFyL1ufRGkPpPe4O9qx8A7elCo+tDo0pHGNyOgmX3kjh0k+w/PgTCq2WsEmXEjJuLJ6qaixrf8b82mdIWjVBw3qf+UKtRN83lcSnZ2Lfl0PFojXYdx2lcOUhClceQh2kJW5sNxImpBM5OAFJ2TatiLIs46q2YyuuxV5SS+mGPAp/OITX7m/FU8eENVj2oD353B6qvl4HgDFjYIfEIAjnKpEcCR1OkhRIKgWcg1Psz4YkScRPnEKUqRdhSf1btfvQEBpH77F34O4WhibkxJt6aN+heB02zKu+oPr7lUgaDaEXjyf8mqvw2mxYN2/F/PJC4h67GeOglo/hkb1evHV2fLV2vLU2ZJ8PXY9EFNqT/w/o+6SSOPs2HEcKqf1pJ7Xrd+OuqiVv6T7ylu5DG24gfnwPEiakE9Y3plkJpOz14Si3YiupxW6uxWau97WkFntJXaOLXqrjIggZN5iQ8UM6bF/Dmu834imtQhkSTPDokR0SgyCcq0RyJAidhKO0EG1kLJJCSXARkNw2rQHBUalQC3W/6nWKGHI+PreL0rVLqVqyDEmjxjT2fKJumorsdmPbsYviF/5LwpO3ou+TGjjP53ThrbXjq7XhrbPhPZbweGtt/mO19mPHbf5kqM6Gz+o4KS5Jq8YwqAdBI/pgHNKzwTpLALruCei6JxB560Ts+3KoXbebul/24Ky0kb14J9mLd2KICyZ+vH89pJDuEfjcPuyl/oTHXnI8+ak7lgxZsJda/bPmTkeSUIYGoY4KRZMUTcjYDHS9O3azZ6/VTuXiHwEIvWwiinba50oQfitEciQInUBd7iHyPv83wd360GvwTdAOW5oEFfqoS2jYKhWVeRGy20VZ1goqP/8KhUZD8KhMoqffTMl/3se+dz+Ff/8YdWz4scTHhuw+++1EFHo9CqMB2e3GW2PBunGff0FDhQJ9n2SMw/sQNLw36uh6K3YrFRj6d8PQvxvRv7sc284j1K7bhW3zXmzFtRz+ZCuHP9mKOkSLu9YJZ1rJTalAFWFCHWVCFRmKOioUVdSJr6qIEBTqzvVSWfXFT/jq7KhjYwjOHN7R4QjCOadz/cULwm9Q7dG95H/5PrLXg6LO1a7XbjRBOu9SfG4XFZt/pHzhYiS1mqBhQ4ieOYOSt/+D49BhXLnmhhUpFCiNRhRGQ+CrwmhEaTA0OKY0HC9jQGEwBDZGlmUZV2ERtp27se3ajauoGPueHOx7cih//1u0qbEYh/cmaHgfNKmxgVYbSa3COLQXxqG98DldWLccpHbdLuzbDuC2OANl6ic76iiT/2vkseQnLLjNxiy1BXdZNdXLfgEg/KpJYnNpQWgDIjkShA5kObCDgiUfI/u8hCX2o8d5t7b7Rri/TpAkSSLmwqvwud1U7VhP2SefIqnVGAcNIPYPd2A/dBiQ/AnOscRH0mpb1M0kSRLaRP+ef2GXT8RdUYFt1x5su3bjOJKNM8eMM8dM5aI1qKJCCRreG+Pw3uj7pASSA4VWQ/Do/gSP7o/X6sBdWoUqPBhliLFDu8BaW8Wnq5DdHnTp3dH3PXf3CBSEjtR1Pi4d88Ybb5CamopOpyMzM5ONG0+/lcGiRYvo3bs3Op2OAQMGsGzZsgbPy7LM7NmziYuLQ6/XM2HCBA4dOtSWtyAIAFTv2Uz+Nx8h+7yEJ2fQY8z0dk2M6u8cFFTYcNyNJEnEXXwtpn7DwOej9IOPse3bj6RSYejTG0OfXmiTk1BHRKDQ6Vo9+VBHRGC68ALi7ruH5OeeIfKmqf5FDtUqPMdaTgr/+j5H73gB8+ufU7dhLz7HiVY3pVGHLi0OlSnonEqMHNnF1P7kX70+/Oorz6l7E4TOpNnJ0YwZM1i7dm1bxHJGCxcuZNasWTz99NNs3bqVQYMGMXHiREpLSxstv379eqZNm8btt9/Otm3bmDx5MpMnT2b37t2BMi+88AKvvvoq8+fPZ8OGDRiNRiZOnIjDcfKAUUFoLVW7NlC47L8g+4jsNoweo29CoWjf7hFJkvzLKPj8idHJCZKChEunEtJrEHi9lP7n/WOtRu1LGWQkOHM4MXfcRso//kbY5CtRhvnHIPnq7NT+uJ3ilz7l6O+ep2juAmp+2IqnxtrucbY1WZYp/+g7kGWMQwejTerYlbkF4VzW7OSopqaGCRMmkJ6ezj/+8Q8KCwvPfFIreeWVV7jzzjuZOXMmffv2Zf78+RgMBt59991Gy//rX//i0ksv5eGHH6ZPnz48++yzDBkyhNdffx3wv9jMmzePJ598kquvvpqBAwfy4YcfUlRUxJdfftlu9yX89mhCI5BUSqLTR9Mts+H+ZWdyPJlpicr83bhsNf5lFI5dW/Z5MRb4B1cHWpUkiagxl6FP6Ibs9lDy9rs4cnLP6pqyLCN7vfhcLnx2O966Ojw1NbgrK/FUV9OUPbA95RXYtu9E36Mbyc8/R/AFY1CaTCjDQpHdHqyb91P61pdk3/kC+X95h7L3lmFZsw1nbgmy13vG+jsz2/bD2HcdRVIpCZt02ZlPEAThrDW7Df/LL7+krKyMjz76iA8++ICnn36aCRMmcPvtt3P11VejVrfNWjUul4stW7bw+OOPB44pFAomTJhAVlZWo+dkZWUxa9asBscmTpwYSHyys7Mxm81MmDAh8LzJZCIzM5OsrCxuvPHGRut1Op04nc7Az5ZGdoQXhNMxJvVgwMQ/oQuJbnbXSP1kRjqL1ibZ56W6cA+HfvoAQ2gcMb3GEN19RKAuY4EHa6L/paH4+8U4q8pwVZUiKVXILhcl899Bk5wMXu+xxTu9p/ned2xxTx+cITlRGA1ok5PRpiSjTUlCm5yMMsjYoEztLxuRNBrCr7kapV5H6LixuAoKCRo2BF1aKtZdu7Ht3I2roBDHwXwcB/NPnKxUok2NRdstDl1aPNq0ODTJ0R26aWxTyV6fv9UICD5/DOqI8A6OSBDObWc1wCEqKopZs2Yxa9Ystm7dynvvvcett95KUFAQt9xyC/fccw/p6emtGmh5eTler5eYmJgGx2NiYti/f3+j55jN5kbLm83mwPPHj52qTGPmzJnDX//612bfg/DbJcsy5RtWEdy9H7qoOH8XlinmzCfWY7eUcfDH/xDdYyRxfS4MJDOyz9eslidJoaTbyKkkZVxB2dGNFO1ZRc6mzwhN6EtsrzGERHfHmO8ht2Qdtdn7SZx0E8akHpRlraBiy1q8diuOAwebFftpgkFSKpC9PnxWG/Z9+7HvO/H3HHnLNIKHDw38bNu7j5Ax56E0+tdAUoUf616z29HEx6GOjSH04ovwVtdQu3ETdRs347PZ8Tmd4PXiPFKI80ghgY8zCgWaxCi0aXHousWjTYtFmxqHQt+51g2yrN2OK78UhVFP6CUXdXQ4gnDOa9Hoz+LiYlasWMGKFStQKpVcfvnl7Nq1i759+/LCCy/wpz/9qbXi7FQef/zxBi1SFouFpKSO219J6NxkWca8+isqt6ylcutPDLrsEdDom12PPiSKpEGXk7v1a4r3ryVlyFVEpGQgKRTIsg/kE61KHqcNR20ZQZEpp4xJrTMS33cc8X3HYa0soOTgevatnE/y4EkERaTgPHCQ8IzRGJP8K2IHpw+gLGsF8ZdNQ5IkJKUSSaEMfKXe96f6ikKBpFQdO6YIrP7t83hwlhVhK87Dbs7DXpyHq7IUTVxsIGaf04mnohJ97/TAPUiShNtsRjNhvL+QJIEsowoPw1VsRpucRNiky1BFhFO17Dtsu3aj69YNT2UFzvxCfFYrrrwSXHkl1P64PVCHOjYcbVpcg1amXy9K2V58ThcV/10FQOjFE1AaOiYOQfgtaXZy5Ha7+frrr3nvvff4/vvvGThwIA8++CA33XQTISH+JXe/+OILfve737VqchQZGYlSqaSkpKTB8ZKSEmJjYxs9JzY29rTlj38tKSkhLi6uQZmMjIxTxqLVatGKFWmFJpBlH8UrPqNqh7/rN6HPBFRnkRgdF548kPDkgZgP/ET2xs8o3LOKtOHX+Ve9lsDrdlCRu4OiPStRaY04rVWkDLmKyLShDeo53pV3PMEwhifSbeQNpI24zh/z/rVIShUxwX05PsLJVVWGPjYJfWwSusjG/+Zk2YfsdqPQNO/vQ6FSoY9LRh+XHDjmddhR+LRIBf4EylFeg0KrQRkUHLgHd2kZPrsDTWL8ifuSJGSvF/vefUTPnI46KhKA4JHDsW7fQVDmMHSpKdSs/Znan9ahTkhAdjhwZOcgKRX4rDbcxRW4iyuoW39i8oYq0oSuVzIhF2ZgGNi9Wa11LVG9JAtvVS2q8DBCzj+vXa4pCL91zU6O4uLi8Pl8TJs2jY0bNzaaRIwbN47Q0NBWCO8EjUbD0KFDWbVqFZMnTwbA5/OxatUq7r333kbPGTVqFKtWreLBBx8MHFuxYgWjRo0CIC0tjdjYWFatWhW4D4vFwoYNG7j77rtbNX7ht0f2eSn8diE1ezcDEmmZU4juPqJldR5LZmJ7nU90j1EU7PqevSveIDxpAD3G3ELp4V8oz9lGbK8LiO19PhW52yk9nEVoQh9UmpNbHOqPd/J3zynxut24rFWodUEYQmPh2DpIjrIiVEEhp9wU2Jp/hOo9m7HmHkQdEkb0+Ze3aHNipa5hEulzOtAER6DYWYIhuQc+rwfb5j2oo6NQmUyB3w2AM78AfDL6nvW69xUKPOUVqCP9yVLNih8InTiB4NEjkRQKKr78Bk9FBeFXTcJdUYkrvxBXQQHOgiI85eV4ymuoK99F3bpdqKJCCRk/BNO4IagifrUPSyvy1NRR9dXPAIRdcTmSSixNJwjtodl/af/85z+ZMmUKOp3ulGVCQ0PJzs5uUWCNmTVrFjNmzGDYsGGMGDGCefPmYbVamTlzJgDTp08nISGBOXPmAPDAAw8wduxYXn75ZSZNmsSnn37K5s2befvttwH/G8ODDz7Ic889R3p6OmlpaTz11FPEx8cHEjBBOBs+r4fCJZ9gObgDJAU9Rk0jInVwi+ut3+KjUKpIzricmJ6jcdZVUlt6FEvJEcIS+hLb+3wAUrw9yan+grryfELje52+boUCWZZRqXW4bNUERaUFnlMfKMdZUYI6OAyN6eTBwLaCbIpXfo4+NonUG+6mavdGKjb/iC46AWUzW5EaI8sy+rgkdNHxWA7uwJjcg+pdG6k5uIOI/mMwFCj8A8AlGXuyhKugEFVEOJJKFRiT5S4yo9DrUAYZcRzNxmezYRw8KNACZBzQn9L3P0IVEYE6KgpD7xO/L5/djrOgENvO3dRt2oKnrJrKhT9Q+b/VGIekE3LRMIxD0lt9terKRWvw2Z1okhIxDh7UqnULgnBqzU6Obr311raIo0mmTp1KWVkZs2fPxmw2k5GRwfLlywMDqvPy8lDUa+oePXo0CxYs4Mknn+SJJ54gPT2dL7/8kv79+wfKPPLII1itVu666y6qq6sZM2YMy5cvP23yJwhnUpa1AsvBHUhKJT3Ou5XwxP5nPqkZTiRJPrSGUDS6EPK2L0Wp1jXoQqu1FqHSGtEaw05VVaP1et1OqDe1vjxnK1KNnaABIwPXPT5eyOu0U713M5rQCBIu88/wjB5zKQden429KIeg1BNJhtflQFIoUajUx+qRQZbP2EXl7y5TEpYxGvMPX7H3n4+ii04gYugFmHpn+BOgY4mJoQBqC2rRhcSgy/HiSPUft+7chTbF321nP3AQdVwsSqMxkDx5qqr811IoThrkrtDr0af3QJ/eg7ArJ2HbsRNL1i84j2Rj3XIQ65aDKMOCCRk3GNP4oahjmvb7Ph1XUTk1KzcDEH71Fe3WjScIQhfcPuTee+89ZTfamjVrTjo2ZcoUpkyZcsr6JEnib3/7G3/7299aK0RBIHLEOGwFR0nqPv6MLTYtcTxB8bis/gHYEcnogo+Nscm2c6TqAPrTzIqTfV6QpEA9xyX0v5iczZ+DLKNQayncvYJuI28kXJGKDUAGGX+CZCvIxl1bjalXRuB8r8OOKsgEnOi2K8tagbPCjK0oF40pgogRF6IJCefwu3ORVCpURhPqkFDUQf6vqqBQDAmp6GNOLHZoiEuh2833I8s+PNZa1EEmAEp+XILHXkfs+GtQarQY4lOpPbQLd201hoIoao/uxZmXj2n8hQA48wpOWkTRceQomoT447/YU/7OFBo1QcOHEjR8KK6SUmqzNlC3cTPeqlqqPl9L1Rc/YRjQjZAJQwka1hvpLDetLV+wErw+9P36oE/vcVZ1CIJwdrpcciQInZXP40FxbEyIUqOj/5g/tNv2DpJChcV8iIT+FweOVVlyqLOZMcQnoDdFN3pejfkgxft/IjS+N3G9LwgcN8X1JGXI1ZgP/ozGEOpv/UrqjyzLv1pJ24flaBFql5JIdSq6Y89VFhxBqwrGUClhkJwU7lmJJW8nKUOvwtD7SsoOb6Bi9XIixl8OgOzx4K6pwF1T0SC+yMyLAsmRy1JF7sK3UAWbUAeHoQ42oQoyoQkJI6R3BgqNLtCFF9ytD5ZDO8n/6n0M8WnYi3IwpfUlMnIgygIFkkqFQqdD9niQVCp8Lhf2g4cwjRvr/3028d9NExNNxOQrCb/iMqy7dlO7fgOOg4ew7TyCbecRlCFGgsdmYJowFE18ZJPqBLDvz8W6YS9IEuFXTWryeYIgtA6RHAlCK/DYreQufpuQngOJyrzIn0C0875XwdHd8Hn8+4sZj9Syq2g9SqWa8GT/WJX6XWGBnxVKIlOHcPSXhThqy0gdek2g+yY0oQ+hCX0aDHSWJImy7C2ERKehNfrHHvk8bgB0QRGBuq0V+ShVGgxhcVQW7KauIp/w5EEERaag0hhIGHAxUT0yUSuNRF73V7xuB26bBaetGpetGpetBpetmlB1fCAZK5GrcFWX46oub/T+IzMvIuYCfyLhrrOAT8bUezBeh43IkRdh6n1izFd4ymDKflmBftBlOFKh+ruVSEolxgz/78rncjdrcUhJpSJocAZBgzNwl1dQ+8tG6jZswmuxUP3NOqq/WYe+TwqmiSMIGt3/tMmXf8HH7wEIHjkCzSlm4wqC0HZEciQILST7vOR/9T4Ocz7umkoSI0eAznjmE1uRSqMnOCqNAz++S2TqYJzmQmRkesZfSmhVKLWhnNR1JkkKTLE9cdZVIikUhCX0b3RcS4MZbbKMtTwXhVIVSI7cjjp8XnegjK26mLryXELje6PSGKgu2kdt6VFUGh17vnsVSammx6hpGML8XVhqrRG11oguKILg09xjpCcW/YS7A4mT/+uJ74N8pkBZV3U51bs3AhKRmeMJSR/YoK7g7n2pPbybg2/9FU14NJJCQdx5V6IMMuKpqqbolVcJveQigseMbnbrnzoygvArLiPsskuw7d1PbdYv2Pfux74vF/u+XAyrtxJz9zWNznKz78uh7L1vcWYXI2k1hF42sVnXFgShdYjkSBBaqOSnZdjyj6BQa+k77g+o2zkxOi6h/wRC43tTs30D0XGjCAtJQ6sJAvytRNAwQTq+/Uj2xsWY4nphimu4qr21sgCVLgitITRwTJIkUodf26BcdI9McrZ8SWX+LvSmWI5k/Rd9SAzhKRk4rZXYa8yExvemW+YNKNU6CnYux3zwZ7pl3tCs+1OqdYREdz/l87IsIx1rZVJbQ4hIGUxF7jbKN6zCmneIxCtuRRPqb91SqDUkXnELzspSnOVmtFFxaMOikPNlStdtwGuxULH4C+z7DxI57YaTtjFpCkmpxDigH8YB/fBUV1O7fgM1P6zGtuMIuQ+9QfSdVxB83gAA3GXVlH+ygrp1u/zxGXRETLkelantlgkQBOHURHIkCC1gObiTio2rAeiWeQOG0LgznNFyTls1JQd+JiyxH8HHptsHZ9v9X4kgNu3yBuU9XichOVCbdmLdoONrGtWWZVNTcpj+Ex9okDjVVeRRkbON6qJ9GMOTSB12DSpt4yszG8LiiUjOIG/r1yg1BoIiUkgadBkqrQGntRqP00ba8OtRqv0zQNW6YKqLD+Bx2Vu0IOav1W/h0QaF0+O8mwlL6s/RTYuxF+dx5IOXiLv4ekL7npjNpw2PRhse3aCO6PMuRaU3Yv7xG2y791D4wstE3TKt4ZpJzaQKDSXs8okYhw6m7KMFuPILMM9bRN2m/WjiI6j6ah2yyw2SRPCoTMImXYoyKOisrycIQsuI5EgQzpKzspTCb/8LQGzvC4hIbtt1aKyVhRTv/5HK3O3Isg+7pZRhyWcej7L3yBfotWGkM7FBggSQs+lzoroNxxie0OC4ITQedZ8QYnufT9GeH9i/+m26j74ZfUjUSfVLkoLYXmOI7TUGt6MOte7Em7qkUODzuht013ndTnRBkXg9zlZNjhoTkTyIoIgkDq9fQF1ZDoVLP8FZUULM+Zef8hxJkogYegHGpO7kf/MRrspSzG++jemicYRdPrFFaxlpYqKJ/9N9VH+3kuoVqwItRQC67t0Iv/ZqtIkJp6lBEIT2IBbOEISz4PO4yf/qfXwuJ8FRaSRltO2MorryPHYv/ycVOVuRZR9hIWmkBg9p0rkDe95ISrx/24ngbDtuRy2SQkFl/m4cdRXE9x130jkKpQqtIRStMZy0EdejVOuxVRed8Vr1EyMAjT6EmJ7nkbv1ayylRyg9/Aulh38hKCq1QXddW9Iaw+l70d0k9L8YSaUiJH1Ak87TRSfQffoswgaOBFmmZuUPFP/rdTzV1S2KR1IqCbt8InEP/BF1bAyqiAiib7uV2PvuFomRIHQSouVIEM6CpFQRPngMFetX0WPMrSgUrbsyss/rxl5TgjHcP43dGJGEISyBEGUEyXGjCQlq3puoRu1PWlxuK1s/n0t0j5FUFe4hccAl6IIjG8xIAxr87HZYkRRKrJUFZ9U6Ftf7ApBlsjcsxhieSHz/i4jqNvyk67QlSaEkceBEotNHofGGUHfsuN2cjy4m4aTB6scp1BriJ95AUGovClf8D2duPkUv/Yvo22egS0ttUUy61BQSHvuzP752ntkoCMLpieRIEJrA63RQe2gXLksl0aMnIkkS4RmjSQwfikLZ9CnfZ+J2Wik9lIX54M/IPi+DJz+JUqUlJMfByJ53tjgJ06iNjMq4j/3lP+C21+Ky1QAnvzlLkoTP68ZWVUzp4Syc1kpShlwJND+hUap1JA6cSOLAiXg9LpSqE3uztVVS4HbU4nZaMZgadjtq9P4BzkGFPspUxWQveBVDYncSLr8JddCpBz+H9BqELjaJvC/+g7OsmOLX3iJyyrUEj8psUZwiKRKEzkl0qwnCKfjcLmr2byfvy/c48MZsCr/9L+VZK/HYrQQV+ggq9LVaYuTzuMnZ/CXbv3yOgp3L8TjqUKFGsb8gMNi6tVqnjPoohiZNpd8l91GRt4OjGxYFnnM7rdRV5JG79Rt2fftP/yrZQPeRN6I3xRxbK+ns39DrJ0atSZZ9/tW+jyk9spFdS18id8tX+LyeRs9RHC0FSYE19yBH3n+R2iN7T3sNjSmctJvuJ6TnQPB6Kf90ERWffenf000QhIA33niD1NRUdDodmZmZbNy48bTlFy1aRO/evdHpdAwYMIBly5Y1eF6WZWbPnk1cXBx6vZ4JEyZw6NChtrwF0XIkCL9mLThK1fZ11B7eg8/tChzXhUQTkZKBsdgHLd9LtYG87UspOejffT3YGE9K3GiiI/q3enddfXG1UQRdMxu3w9/JVLBzOSWH1hMc1Q2tMYyUwVcSHJ0WmGUGJ6+V1JE8bgc1xQeoLtpHTdEBkodcReSxzX1DYvzbbZgP/ERdRT7pY25FYzA1OD8ieRAGUyyH132CrbqIvM//TfiQ84kZe0Vg77dfU2q0JF41nbKslZStW45l7c+4is1Ez7wVpbFjlnAQhM5k4cKFzJo1i/nz55OZmcm8efOYOHEiBw4cIDr65JX6169fz7Rp05gzZw5XXHEFCxYsYPLkyWzdujWwD+oLL7zAq6++ygcffBDYIH7ixIns3bu3zfZBlWS53u6SwlmxWCyYTCZ63/8PlFqxYW1XI/u8yD45sPVHxdafMa/yt5hojeFEpGQQnpKBITSuTbpBasyH2P/D/wHQP/0GYiJOv4Jyazs+g608ewt525eiNYbTffS0wIrXv15Zu6PIsozDUkZ10d5jC0tmB9ZvAoiLGky/HifWYCqr3Mfuo5/jdTtQ6YLoMfpmTLEnT8f3ed3kb1+G+cBPAOii4km88la0Eafekw7AcmgXBd8uQHY6UUWEE3PHTDTxbb+Ug9C1+RwOch99kpqaGkJC2mYdq+PvSSlzn0PRwuShufFmZmYyfPhwXn/9df/5Ph9JSUncd999PPbYYyeVnzp1KlarlSVLlgSOjRw5koyMDObPn48sy8THx/PQQw/x5z/7x+jV1NQQExPD+++/z4033tii+zuVjn/FE4QOIMs+rPmHKfp+MQfefIbqPZsCz8WHDCC21/n0u+R+Bl31OEkZl2MMi2+zhMVScgSAxJgRxEYOaPdxKMe77SLThjLkmtkERaaw+9t5HPrpQzxuR6dIjMA/jmjn0hfI27YES8kRZNmHQecfoD6k72306XZVg/JR4X3I7H83QYZYPI469q9+m6K9P/Drz4MKpZqUoVfTa+ztKA1BOMqKqD2854zxhKQPoNu0+1GbwvFUVFL0z9ew7th1xvMEoSuyWCwNHk6n86QyLpeLLVu2MGHChMAxhULBhAkTyMrKarTerKysBuUBJk6cGCifnZ2N2WxuUMZkMpGZmXnKOluD6FYTfjNkWcZenEfN/m1YDmzHU2cJPOfYu5egyGODa/XBpAy9ut3iShp0KTG+eEzBye12zV8LzrYHWpBShlxJQr+LOLz+EyrzdhDdvWWDjpvLZauhumgf1UX7QFLQ8/wZgH8wtTEiGa1HTWRYLyJDe2LQR5y2LoMunOH972J/9jcUl20jf/syjBHJmGJO3uU+NKEPA8NnUXJwHaEjLmxSrLqoOLrd+icKvv4Qa94hSt/9gNDLLiH0kgmNbsUiCO1JX6hAqW3Z/0Ov039+UlJSg+NPP/00zzzzTINj5eXleL1eYmIatrrGxMSwf//+Rus3m82NljebzYHnjx87VZm2IJIj4TfB5/Vw5L0XcVWVBY4p1TrCkwYQnpLR6Jtle4oIPfvVl9uCSmug97g72+VasuyjrjzPnxAV7muwnpKkUKI/XI1K6R/kNTL99ma3ZCmVavp2v4bQ4GSqNNWn/bfW6ENIGnQZFEFdgn9Qfv6X7xE5cgLGpMa3LlHpjaRMuQvz6q+p3PoT1d9+j6uwmKhbbkShbeXBaYLQQfLz8xt0q2nP8f/bIjkSfhMUSpW/+6OuhrD4fkSkZGCK64VC2TF/Am5HLblbviZp8CQiSzrHi0z91qP2dOinD6kq2F3viIQpKJGIsJ5EhvVEqag/9f/sPgVLkkRCzDASAI7dp9teS03J4cAg7l8LKvSRv2MldTkHqMs9SNSoi4kadTFSI4PkJYWSuIuuQRcdT9GKxdh27qLon+XE3Hkb6ojTt24JQlcQEhJyxjFHkZGRKJVKSkpKGhwvKSkhNrbx1fxjY2NPW/7415KSEuLi4hqUycjIaO5tNJlo9xXOSY5yMzkL38JdWw343+jSB17HkGue8e+5ldivwxIjWZbJ3vgZFbnbyFn1cYfEcCrHxx+1Fdnno6pwLx7XieuY4nqhVGqJiehPvx7XccGwRxk+4C66JV5IiPHsxnpVVB9h96HF2B1VjT5vPFrHoXUfc2T9J2Rv/OyU0/3j+15IZNowkGXK1n9Pzqdv4q7XHftrYQMySZt6DypDMO7iYope/hf2Q4ebHb8gdEUajYahQ4eyatWqwDGfz8eqVasYNWpUo+eMGjWqQXmAFStWBMqnpaURGxvboIzFYmHDhg2nrLM1iORIOKfIPh/lm9Zw9MNXsOYdwrz6a4KO7dSuDQpvs3V2mqM8ZytVBbuRFEp6pZ16j6+O0hYJktNaRcHO79j+9d85+OO7VORuC1wrTerHBUMfYUDPqcRFZaBRn92U+PoDrYMMUZRU7Gbjrrcorzp5PRQJiUhNMiBRejiLvSvewGk9OZFSqnV0H3Uj3UffhEKjxVaYzdGP/om9OO+UcRgS0ug2/U/oYhLxWW2Y33wby9qfTxoILgjnolmzZvHOO+/wwQcfsG/fPu6++26sViszZ84EYPr06Tz++OOB8g888ADLly/n5ZdfZv/+/TzzzDNs3ryZe++9F/C3+j744IM899xzfP311+zatYvp06cTHx/P5MmT2+w+RLeacM5w1VRSuGwBtoKjAITG9yat71VnOKt9Oa3V5G7+AoBuCRcSbOycU7+Pd7F53A5krxu1LrjZdfh8XqoL91F6+Bdqig8A/uRArTKgKXMQrPInYcoWLqTpcNaQW7QOp8vCwF7+ab3a3AqCleFYPGVs3/8R3RIvJC3xwkC3nCQp6J40HlNQIruOLsZamc/u5f+k++ibCY3rddI1IlOHEBSRzIEf38VhKSX7v6+TdNUMgnv0azQmdXAoadPupei7/1GzbysVn32Js6iYyOuvQVKJl13h3DV16lTKysqYPXs2ZrOZjIwMli9fHhhQnZeXh6LeZIXRo0ezYMECnnzySZ544gnS09P58ssvA2scATzyyCNYrVbuuusuqqurGTNmDMuXL2+zNY5ArHPUKsQ6Rx1LlmWqd2/EvOpLfG4nCrWGlMFXEdU9s1NtzyDLPvavfgeL+RAhQYkM638HCqntFnlsKbujiq1HP0Gh0tL3ortPuTBiY3weNzuWPB/YngQgLCSNhJhhRIf3RaFoeYJgc1SSW/gTRWXbkGX/KtXnhd9AsCrcH4PsZV/dOvLt/pWvI0LT6dfjejRqQ4N67I4qdh78lFprESCROOAS4vtf1Oj4Jo/bwZH1C6ityqPbrX9CExJ22hhlWaZi02pK1i4FWUablkrM72agDGl+simcG9pznaPWeE/yOh3sf/WJNo23MxIfYYQur2rnLxR/798CIzgqjW6jbgwsYNiZlBzKwmI+hEKppl+P6zp1YgT+ZM5lt+B12Tm64X90H33TKZNNn9dDXXlOYGVqhUqNISwB3B7iooaQED30jNPum8pqKyW7cC0l5buQ8XeZhqnj6G4cQpDyRLKikJT0C76AUFUMe+p+oqL6EBt3vcXAnjc22LhXrwtjWP87OJi9jMLSzZTnbiW29wUo1ScPlFepdfS84Dac1io89RIjn9fT6Bg2SZKIHDEebWQcBcs+wpmdQ+HL84i5YybapMRW+X0IgtD6RHIkdHmhfYdStW0dUQmDies9tlOuLyP7fJQd8e8v1CPpEoz6yA6O6MwM+ggG9biRbfs+oCJ3G8bwBOL6XHhSubryXA6ufR+3o46Mqx5HGxROcLadAbFXoE7Ut0or0XH55g0cyF7K8S66SE0S3Q1DCNOcunsyQd+LYFUE2y3fY3PW4HLbTiqjVKjp0/1qTMFJKHt1bzQxOk6SFP7ku9BHXYICy8GdlK5bTrdb/3TK1rXgbn3odtOD5H3+H1xVZRT/63Xi7rsHbUrHrW0lCMKpdb53EUFoppBSFQMveoD4vuM6ZWIEICkU9L34j/RKnURS7IiODqfJwk3d6JU6CYCCXSsC+7AdZ60sYP/qd3A7atGog5AOFQUGdGs1wa2aGAG43Ta6JV5IlCaFUWHXMSx00mkTo+NC1JGMCruOQSEXERl26jWl4qOHEFNlavKgdGO+B/N3n+EsN2PNP/2sNG14NN1ueRBjcjqy20P1ih+adA1BENpf53wnEYQz8Hk8VO7Iwuv0v4k1tvZMZ6NUaUiKG9lptuNoqoSYYQQb4/F5nBTtOfGGbq0qYt8P/4fX7SA0OIXzBj9IRGjjCyW2lm5J40hL/P/27jw8yvre///znjWTZWaybyQkYUtANkEWqyKCgLigUj1SsC4cOJ6KnlaPP+FrT9H2W1srX+tyXE+tHqpoC9q6VFEUrRTCFgUTkiB7yDLZk8kyM5nl/v0RGBIJIQmZTJb347pyYe6573ve922WVz73Z5nNxCn/ikUf261j9RojseNmdWnfIyc/5+S+j3A7mzrdT9FosCZnAdB0/PyrhGtDTCTMuQmA5rwDeOrqulSPEKJvDayf0kKc0nAol7JPN3L89af7/RBpr9uJqqoBn0MoUBRFw8jUqwEoP7QdV1MtzXU2Cre+jLfFgSU8hUlZt6PV9s00CT3tZF/vrqSuoajdYrXnUlSWTWn+Vrzu8/8/s8S3tkQ1njjYpTpCYhIITRkBqkrDjl1dOkYI0bckHIkBqfbb1gUHo1Mn9asRaR05tvsdvv3wCarrzt+y0F9FWUYQaU7HkjAaV2MNhVtfxuNqIiIsiUlZt/uX9+gLquqjtPIbdjR9QIuv64HzaPPX7M37H46XbOvSewBdekxrTmgNR67KMjxNDV2qJWrSpQA0ZO9C9Xq7dIwQou9IOBIDjqu2kqaiw4BC7Ij+3X/H0+KgpjgXZ0MVOl3fL83RWxRFYVLmMsZcuZyI2HQsSWMID03g4qw70Pf5dSmcLNuJvamEE815598d8KoeqlpOAhBtPf86eqenBlC6MKJQHxLeOjIPaDzxXZfqiRg1Hl1oBF67nebcA106RgjRdyQciQGn7tvWRxGWxDEYwzqfZybYaor2o3o9hJliMYcln/+AfkyrNRBxzIGi0TAx7nqmjluO/ntzBvUFRVFIS74cgCJHHh6f+7zH1LSU4lU9GPURRIQldbqvqqrdajkCsJxqPWrqYjjSaHVYJ0wHwL5te79/NCzEUCPhSAwoPq+H2rzWIfFxI6cHuZrzqzy6B4DE2Iv7/eO/roo45kBRNOh0wZvwNC5qLKEh0bhVF8XOgvPuX9FyHICYyDFd+P9wJqh0peUIwJIwGkWn61bIiZwwAxQF5+EjVPzhNbxNnXf+FkL0HQlHYkBpPHwAb3Mj+pAIrMljg11Opxz2ChqrToCiITF2YrDLGVQURcPwpMsAON68H5967n47qqpS6WpdCy02KvO85253ri62HEXEjyDzvl8zbOGPurQ/gMESRdK8W0CrpTkvn5InnsJx+EiXjxdCBI6EIzGgOKtsoCjEZlyCpp8P3686uheAGMtIjAZZLqK3JcROxKAPx+lrosx57jmGGjzVOH2NaDR6Is0Z5z1v29FsXZ12QaPRYi7v/tdj5IQZZCz9KYbIWLz19dj++yVqN3+K6jv/iDohRODIDNliQIn7wXwiJ0wnvKJ/P6JSfT4qj+UAkBg3OcjVDE5ajZ7UxJkcLtrCseZ9JIWM7vCR2emO2FGWEV1a5Far0TN+4X+iqr4OlwQ5H6/LgdbY9U7qpvhkMn78ALbP3qXuwB7qPv4U56EjxP74R+gslm6/vxDiwkk4EgNOpN0M/X19XwVGXLqEhty9xEae/1GO6Jlh8dOoaygiJWE6VHW8T3roRMzpE7rcCqQoGkKtCd2upcVh5/Brr+C215K56v+iaLvekqQ1GEleuISw4aMo/WwTzsNHKHniKWKX3kbouKxu1yKEuDDyWE0MCKrPS0t9TbDL6DJF0WCJH0nWiEW9voSGOEOnC2FS5jKiraPO2dHaOzIFa0QqlvDALvSqDwnH29CAr8VFc9mJHp3DOm4qI25/gJC4ZHxNTZS/8irVf/sA1ePp5WqFEJ2RcCQGhMajhRx65dfYNr4R7FJEP+UZ0TtTJXg8TopzP223VEpXKIoGc3z3hvR3xBgVR/rS/yDq4tbpCuxf/IPSp/8bd9U5msaEEL1OwpEYEGq/3Qmo6EP6f8fmquNfcyLnPZQDPWs9EN3X4m7mcNFnfFv/ebvtefZ/UHD0fZocXQ8Wbo+DktxPKcnb0u06Ts931Hi85+EIQKPTkTjnJlJuvBtNqImWk8WU/O73NH6974LOK4ToGglHot9zN9TRcDQfgLgR/X9uo/KD27Ed3DaglwsZaDweB8dLvqLUdYgGTzUAXtVNacthSsr34PN1/bHUmQkguz/6zJLYGo4cZUX+RZEvhHnURYy8/T8JTU5Hdbmo/N83qHx7I76Wlgs+txDi3CQciX6vLm8PqCoRsemYLHHBLqdTjvpyGqtb5zZKiJG5jfpKqCmauKjWea+ONe0DoLqlBJ/PTYjBQnhofJfP5V86pItzHLVlDIsiJCIGVB9NRb0zZ5HeHEnabT8hZubVoCg0Zu+i9P89Q0tpWa+cXwhxNglHol9TVd+pR2oQO3JGkKs5v8pjp+Y2so7CaAgPcjVDy+klRcpcR3B4G6hwtT7WjInK7Nbs5L7TLUddnB37+8wJo4EL63f0fYpGS/xl1zD8lnvQhUXgtpVT+tQz2Ldny9IjQgSAhCPRrzUd/w63vRat3kR0yoRgl9Mp1eej6tTcRkmxMrdRXzOHJxNlyUDFx7Hm/VS2tIaj7k6l4J8EsotD/78vathFWC+6hPCM3p/CIXz4KEbc8Z+Ep2eiuj1U/+UdKl//E97mC3+EJ4Q4Q8KR6NfqDpxqiUm/GI3u/BP4BVO97TvcDjtajYGYyDHBLmdIGp50ZkFal68ZrcZApDmtW+fo7qKz32dJHE3yNUuIyAjM8ja6sAhSF/8r8bOuB42Gpn3fUvrkU7iKSwLyfkIMRRKORL+WOO8WkubfSvyoHwS7lPOyl7d2wPb6Wro84aDoXVGWEUSEJfk/j7aO6vY8Uz7VA4oGTRdm0z6X8JLALv+hKBpips0m/Uf3obdE4amppfJ/35BHbEL0EvkJLvo1rcFI5IQZ/b4jNkDsiBkYwyIZPetuGjPCgl3OkKQoCuNG3kykOYPJWXeQPmxWt88RaU5jwsL/ZNiE+T2uw9lQhaO8GI+jqcfn6IrQxOFk3P4zFIMBd0UlruMyfYQQvUHCkRC9xGSOZcJ1DxOZ3Po4pSHdhNsjfUH6WnhoPFPG3UW0dSQRYYndPr4h3YTJEkd0as9HGx7f+1eOrn+KxiP5PT5HV+lMYVhGtdbasGtPwN9PiKFAwpHo1xqOFVC58zOaaoqDXUqXtF2o1NlYzfbcZzl68gt53DEAeLwuGpvLe+Vcp0fH9dX/d+tFlwDQ9PU+mQNJiF4g4Uj0a3V5e6nY9hH2iqPBLqXbaosP4HE2crR4KwcOv9OtiQhF3ztRup2d3z5P8bef9MLZTk8d0DfhKDQlA70lCtXlonl/bp+8pxCDmYQj0a/pwlqXC3E77EGupPsSM68gfdoPQdFgq9rP1/mv0+JuDnZZogOulkZO2LaDqmKyJlz4CU93yO+jliNF0fhbjxp27+2T9xRiMJNwJPo1fzhyNgS5kp6JGzmDzCv/Fa0+hLqGE+zJe7lb63yJvnGs+At8nhbColOI6oX5tE7POdmXj1Ot41rDkfPQYdw1NX32vkIMRhKORL92Jhw1BrmSnrMkjmbs1aswhEXicNawJ/9/aGiSpR/6i2ZHNSUVra0tqZOu69Zs2ufmT0e9cK6uMViiCEsdBapK456cPntfIQYjCUeiXzvzWG1gthydFmpN4KJ59xMWnYoxPBpv5rBglyROOXLyM1TVhzUpE3P8iN45qdL34QjOdMxu2J6Np66+T99biMFEwpHo13ShA/uxWlt6UwRj5/w7Y65cjlZnoCHdhKqqMpItiOobiymvzgMUUiZd22vnjUqZQMzMqwmJ79sQbB49AYM1Bm+9HdvzL+G1D/zvGzF41dTUsHTpUsxmM1arleXLl9PY2PlTAqfTyb333kt0dDTh4eEsXryY8vKzR5m+/vrrTJgwgZCQEOLi4rj33nu7VZuEI9Gv6cLMALhdjai+wM463Bc0Oj36kDML0hY2biPv0Ea8PncQqxq6nK56dIZQYtKnEGrt/pxI5xKTNpn4y64hNGl4r52zKzR6A8NvvQd9hBV3RSVlL7yCtymwE1EK0VNLly7lwIEDbNmyhQ8//JCvvvqKlStXdnrMz372Mz744AM2btzIP/7xD0pLS7n55pvb7fPUU0/xyCOPsHr1ag4cOMBnn33G/Pndm9RVUeXP1gtmt9uxWCxk3v84WmNIsMsZVFSfj6aiQ+hCI4huiRtUy3I4G6v59sPfofq8WMJTmJi5FINeZtbuSw3pJjwtDlSfB31IRK+euzE5eF+rrtpKjr/1PJ4mO4ZhySTcew/aUFPQ6hFn+JxOTjz8c+rr6zGbzQF5j978neR1OSl89v/0er0FBQWMHTuWPXv2MHXqVAA2b97MwoULKS4uJikp6axj6uvriY2NZcOGDfzwhz8EoLCwkKysLLKzs5kxYwa1tbUkJyfzwQcfMGfOnB7XN3h+04hBSdFoCE8bQ0hc0qAKRgAh4dGMmb0Crd5EfeNJ9uS+THn1AZod1WdWhhcBpzOYej0YtTjsuGoqAr58yLkYI2NJ+5d/RxMeRktxCeUv/wGf0xmUWoToSHZ2Nlar1R+MAObOnYtGo2HXrl0dHpOTk4Pb7Wbu3Ln+bZmZmaSmppKdnQ3Ali1b8Pl8lJSUkJWVxbBhw7j11ls5efJkt+obXL9thBhgLPEjGTf/Pozh0ThcteR+9zY79j3Nl3sebzdpZLOjmha3PB7pLZW1BynSHw1Yf6+irz/g8Ku/pS4veMt5GKPjSV/872hCQ3EdP0H5K3+U2bNFj9nt9nYfLpfrgs5ns9mIi2u/ZqZOpyMqKgqbzXbOYwwGA1artd32+Ph4/zFHjx7F5/Px+OOP8/TTT7Np0yZqamq4+uqraenG13/3lqsWIggajhXgLC8B00jCY1KDXU6vM5njGDfvfopzN9NYVYSjvhydKYKmEWdaM/K3vEdD5TEM+nDCQ+NPfSQQHhpPWGgsWk3PV5Afarw+NwePfoCzsJ6MGf9CbMYlvf8mvTIdwIULiUsibfG/cWzjiziPHKX8f14jfuXdaPTy9TIUhJX50OkvrBXa4249PiUlpd32tWvX8uijj561/+rVq3niiSc6PWdBQcEF1dQZn8+H2+3m2WefZd68eQC89dZbJCQk8MUXX3S575GEI9Hv1ed/TX1+DsZJ1w7KcASgDwkj/ZLFAKg+71nzOvm8rR22W9yN1NQ3UlN/xP+aIdTKFRMf9H9e11CEQR+OyWjt9FGkqqo4XLV4vS683hY83ha8vtP/7cJoiCA++iL//nmHNuJ2N6MCyfFTiIsa10tzAvWtYttunC316E0WolMnBeQ9/PelHzweNSWkkHbzCo5vehnnd4eo+ON64pffgaKTH/+i606ePNmuz5HRaOxwvwcffJA777yz03NlZGSQkJBARUVFu+0ej4eamhoSEjqepT4hIYGWlhbq6uratR6Vl5f7j0lMbB1YMXbsWP/rsbGxxMTEUFRU1Gldbcl3h+j3BtNw/q5QNFoMoZZ22y5a8FO8bheOehvNdTaa68porivDUV+GyRJPQ/qZzrb7330bt7MBrcZAqCkGBQWP14XX10KkOY2LRt0CQGNGKLvffgzV5+2wDnP8CEKnnmlVqfr6MB5X6/InNfWHibJkMDrtWsJD4zo8vj9yexwcK/sKgGET5qPRBaoFpW8Xnj2f0OR0ht/0r5x49xUc+QVUrH+TuDuWoWi1wS5NDBBms7lLHbJjY2OJjY09734zZ86krq6OnJwcpkyZAsDWrVvx+XxMnz69w2OmTJmCXq/n888/Z/Hi1j8mDx48SFFRETNnzgTgBz/4gX/7sGGtU2nU1NRQVVXF8OFdHz0q4Uj0e4NhluzeoNUbCY8ZTnjMmW9wVVX9rUoAXk8LelMEnpZmvL4WGppK252jWdvcLkjpQyJQfV40OiNavRGtzoBWb0SjM541tD118g0AOBsqKSv8BzX1R9n17fOkJMwkY9iV6HT9f6TmiZJteFqaMVniiU2fErD36Y8tamGpI0ldtJwTf/0DzftzqXzzbWKXLUHRSNdT0feysrJYsGABK1as4KWXXsLtdrNq1Spuu+02/0i1kpIS5syZw/r165k2bRoWi4Xly5fzwAMPEBUVhdls5r777mPmzJnMmDEDgNGjR7No0SL+4z/+g1deeQWz2cyaNWvIzMxk9uzZXa5PwpHo9wbLLNmBoCgKWp3B/7lWZ2D8NQ+g+rw4G6pw2CtRNBq0p8KPzhja7vjJN/68y+8Vm3FmVEnsiGkUff0+tcUHKCrbjjUilbjosZ0cHXxOl50T5a0jWlImLkTRBLDVJEgzZJ9PePoYUm+4k6L3XqMp5xsUnY6Y226RgCSC4s0332TVqlXMmTMHjUbD4sWLefbZZ/2vu91uDh48SHPzmQW7f//73/v3dblczJ8/nxdeeKHdedevX8/PfvYzrr32WjQaDbNmzWLz5s3ou9HXTsKR6PdOh6MWhyyH0FWKRovJEo/JEh+Q84eERzP6iruoKy2gtvgAIVMupkFRiDjmwN5YQnhoAppAho8eOHLyM1Svh4jYdKzJgQ5y/TMcAUSMHMew626n+IP1NO7ag6LVEn3LzRKQRJ+Liopiw4YN53w9LS3trEfTISEhPP/88zz//PPnPM5sNvPqq6/y6quv9rg2CUei3zPGJAAKTnsFzsZqQsKjg12SOMWalIU1Kcv/eW0yfPO319BrjKQkzCA5fip6Xf+YfNA6YTo1u06SMrm3Fpc9N0viaHzWEEwJ/XMAgWXMRFTvjyj5aAMNO3aCohD9w5skIAlxioQj0e/pwy2EDR9F04nvsJcflnDUjznsFWh1BlxOO4eLPuVo6Zckx1xMSuJMQkOiglqbOX4kE697KLCP006JTp2IMXlywN/nQljHTgFVpeTjt2jY3vq4UQKSEK0GzHdBIBao279/P0uWLCElJQWTyURWVhbPPPNMoC9F9EDCldczasUjxI3oeBSD6B8iYoYzadEjZMz4F0zWRHyeFk7adrLjm6fZf3ADzY7qPq/J7XH4O6H3RTAaSKzjppJ8zRJQFBq2Z1O98d1BsYahEBdqwISjQCxQl5OTQ1xcHG+88QYHDhzgkUceYc2aNfz3f/93oC9HdFNIXDIGa3RQ16sSXaPR6ojNuITx1zxA5lUrsSRmAiqVtQdpHt63a8fV2o+z7Zv/h+3gtj59X4+rGXdDHd6W/r9kR7uAtGOnBCQhGCCP1QoKCti8eXO7Beqee+45Fi5cyLp16865QN2rr77Khg0buOqqqwB47bXXyMrKYufOncyYMYO777673TEZGRlkZ2fz7rvvsmrVqsBfmOgRr6el3Qgt0T8pioIlYTSWhNE019lorDqOMSyShvTW14s//zOhIdEkx00JyDQAXm8L+Uf+is/jormu4+UIAuXE1+9TdWwv8VdcR8z0q/r0vXvCOq7152rJx2+19kEC6aQthrQBEY7Ot0DdTTfddNYx51ug7vScCN9XX19PVFTnfSNcLle7dWXsdnt3L0n0gNfZTMnHb9FcfIzJNzyCVtfxDK2i/wm1JhBqPTPrrcNeQUl567pjR0q+ICl6IqaQKHRaIzqtkYiwJEJNrX3LfKoXn9eNVmvo1uLDR09uxeGsQW+ykDr5ut69oPM6NcKm/013dE4SkIQ4Y0CEo0AtUPd9O3bs4M9//jN///vfO63nN7/5DY899ljXL0D0Co3RhLPShtfZTO3JPGICOImfCCxjWCTp026hrPAfOO0VFJfvbvd66uTrSExvnd22sbqIA588CyhotQZ02pDWEKVr/TcxdjIJMeMBaHE3Yav6FlVVOWHbAUD6tMXoDH07Ys4//LgbYa4/kIAkRKugfsWvXr0aRVE6/SgsLOyTWvLy8li0aBFr1671L1Z3LmvWrKG+vt7/cfLkyT6pcahTFAXrRa0/vCuP7g1yNeJCaLR64kZOZ8K1DzHmyuXEj76M6LSLsSaPIyIuA2ObEYle9+lWWhWv14WrpZ4mRwX1DUVU1x2iPqyJhnQTDekmqqOb+e74Rxw68TGoKtFpFxMZ8DmNBhfpgyREkFuOgr1A3Wn5+fnMmTOHlStX8vOfn3/GYKPReM5F90RgWcddQuX2T7CXH8bVVIsxLDLYJYkLoCjKWXMlfZ85fiSX3PobPG4HXrcLr9vZ7iMsaph/X60uhKjUiXjdTrT6ENKm3NgHV9GBUy1H/XEZka6QFiQx1AU1HAV7gTqAAwcOcNVVV3HHHXfw61//uheuSgSSwRJFaMoImk8eoepYDskXzT3/QWJAUxQFRafHoNPDeZ6OmSxxjLrs9r4prFOnH6sNzHAEZwckT00t5isvxzRmtIQkMegNiK/wtgvU7d69m+3bt3e4QF1mZia7d7f2XWi7QN0XX3xBTk4Od911V7sF6vLy8pg9ezbz5s3jgQcewGazYbPZqKysDNq1ivOLvGgaAFXH9vabVc+FaMv/ZTmAwxGcesS28EegKDgKD1L+0h8o/tVvqPv0Mzz1spyPGLwGRIdsCMwCdZs2baKyspI33niDN954w799+PDhHD9+vE+uS3RfxOgJaD57B2dDFY1VJ4iITQt2SUK0Y0kYiWoNwRjd8WP/gcQ6dgqm+GHU7N9BXd5ePDW11P59M7Uff0rouLFE/GCGtCaJQUdR5U/vC2a327FYLGTe/zhaY+/P1yLOVpm9BY3RRHLkJHSG0PMfIEQfG4wTlvrcLdi/+5ba/dk0lxzzb9dFRRIxczrh0y9BZ7EEscL+z+d0cuLhn1NfX4/ZbA7Ie5z+nTTllv+LTn9hv5M8bic5GwNbb380YFqOhGgrdubVAOhKZBSNEH1FozdgHTcV67ipOKts1H6b3XFr0qXTMWWOkdYkMWBJOBIDWmOyhnAJSKKf8bqdeBwqGr0RjW5w/pgNiUkg8aqbiL/82natSc25eTTn5qGLiiR8xnQiZkhrkhh4Bud3rRgSvC1O6gu+oeZkBamTrw92OUL4Hcl+i9riAyRe/UOiJl0a7HICqqPWpPoDra1JdR9tpm6ztCaJgUfCkRiwPE0NlH26ERSFhDFXYAiVv05F/zBYRqt1l7QmicFCwpEYsIyRsYQmp9Nccoyq4zkkje3/C3yKoWJgTwJ5obrammTKGoMhOQlDYgIamVhX9CMSjsSAZr3oEppLjlF5dC+JWbOH7C8j0c+oA38SyN5yvtYkABQFXXQ0huREQjIyCJs0Ht331sUUoi9JOBIDmnnMRMo+/ytOewU1RfuJHj4p2CUJgc/rBkDRaINcSf/x/dak+oKvcdpO4qwsw9Nkx1NVhaeqiub9udT89T2MacMJmzyRsEkTJCiJPifhSAxoWqOJmGmzqdzxKSe+fh9L4pg+X4FdiO9z2Ftn2TdYY4JcSf8UEpNAyOUL/Z97mhpwVpbhLC+m4cgBmkuP4zp+AtfxE9T89f3WoDTpVFCKtAavcDFkSDgSA17M9DnUF3xDS20lxd9+QtrUG4NdkhjCPG4nbkfr0hrG6PggVzMw6MIiCA+LIDxtNDHTr8LdWI/9u2+xH9xPc8mxM0Hpb6eD0gTCJk5AFyULT4vAkHAkBjyNTk/i1YupzN5CxGU/AGewKxJDmer1Ej31SjxNdrQh0orZE/pwC9EXX070xZd3EpQ+kKAkAkbCkRgUwoePJix1VGuHbJkUUgSRPiSMhNk3BLuMQaPLQWl4KmGTJmAaMxp9YoLMpyQuiIQjMWicHqnWmKwh5GgjOqOsuSbEYNI+KNlPBaV9rUHpRBGuE0UAaEwhGNPSCMlIw5iRjjE1FY1BH+TqxUAi4UgMKj6Pm/J/fEDdgb1MuOY/MYZag12SGGKa62x4Is3oQsODXcqgpg83E33xZURffJk/KDUczsNRegKfw4mjoBBHQWHrzlotxpRh/rAUkp6GNlz+/4hzk3AkBhVFq8VhK8bncnJi798YfcWdwS5JDDHfffUaro+qSVuyirBhGcEuZ0hoG5RUnxdnZRnNxUdb51MqPoanye5/BMfWf7QeExfbGpROfehiomWeNOEn4UgMKoqiIWneDzmy/ilqi/OoLT5A5LBxwS5LDBE+jxtXYw3QOoO76HuKRospfhim+GFET7kCVVVx19ecCkqtgclVXY67ohJ3RSWNO3cDoI2IwJiR5g9LhuQkFK3MUzVUSTgSg05IbBLRU2dRvfsLju/9K+aEkWh1sjSBCDxHQwWgojWFoZXHav2CoigYrNEYrNFYx00FwONowlF6nObiY62hyVaEt6GB5v25NO/PbT3OoMc4fDghGekY04djHD4cbaiMPhwqJByJQSlu5jzshftosddSkvspqZOvD3ZJYghw1JcDYIyKk0c0/ZjOFEbEiHFEjGhtVfZ53DhsJ/2P4Rylx/A6HTgPHcZ56LD/OH1CPMa04YSkDceYPhx9XJyMihukJByJQUljMJI492aK3n2VssJtRKdNISwyKdhliUHOH45k8scBRaPTEzYso7WP2HRQVR+u6gr/YzhH6XFa6qpx28px28r9j+I0JhPGtNRTgSkNY1oqmpCQIF/NwFFTU8N9993HBx98gEajYfHixTzzzDOEd9JZ/pVXXmHDhg18/fXXNDQ0UFtbi7XN8jLHjx/nV7/6FVu3bsVms5GUlMSyZct45JFHMBgMXa5NwpEYtCJGjCNi1Hiaig7T0lQr4UgEnMNeAUg4GugURdO6xElMAlGTLgValzhpLjvR+jiu9AQO20l8DgeOgoM4Cg6ePhB9QvyplqU0jGnD0cfFSiviOSxdupSysjK2bNmC2+3mrrvuYuXKlWzYsOGcxzQ3N7NgwQIWLFjAmjVrznq9sLAQn8/Hyy+/zMiRI8nLy2PFihU0NTWxbt26Ltcm4UgMaolzF6MoCrqwCJkcUgTcmZajhCBXInqbLiwC88iLMI+8CGidCd1ZWUpz6XEcpSdoLj2Ou74Gd5kNd5mNhuxdAGhCQ0+1LqURkjYcfbx01AcoKChg8+bN7Nmzh6lTW/uCPffccyxcuJB169aRlNTxH7M//elPAfjyyy87fP10cDotIyODgwcP8uKLL0o4EuI0fbjZ/9+NyRrCTrplpXQRMImZs6j3lGGMTQx2KSLAFK0WU0IKpoQUuPhyANyNdhxlrUHJUXIcR/lJfM3NOPILceQXBrni/iU7Oxur1eoPRgBz585Fo9Gwa9cubrrppl57r/r6eqKiorp1jIQjMWQ0HC3g0OfvknXFSkLCo4NdjhiEQmfNROZlH7r04Wb0o8ZjHjUeAJ/Xg6uitXWpubT1kZzbXhvkKnvGbre3+9xoNGI09nwUsM1mIy4urt02nU5HVFQUNputx+f9vsOHD/Pcc891q9UIJByJIUJVVSqzt9BSV82hbesZN28VGq0sJyCECByNVocpMRVTYirRU1q3OWsqOPLqb/vk/SOOO9Dp1As6h8fTupJ3SkpKu+1r167l0UcfPWv/1atX88QTT3R6zoKCgguqqatKSkpYsGABt9xyCytWrOjWsRKOxJCgKAop19/OkfVP0Vxbwomc90mftjjYZYlBpKm2lGbFgzEmAa1BRiyJjunDzOffqR86efIkZvOZ2s/VavTggw9y5513dnqujIwMEhISqKioaLfd4/FQU1NDQsKF99krLS1l9uzZXHrppbzyyivdPl7CkRgy9OZIkq/9EUWb/kDF4Wwi4tKJSbs42GWJQaIsfyvVJ/YRf8V1xEy/KtjlCNGrzGZzu3B0LrGxscTGnr/T+cyZM6mrqyMnJ4cpU1qb1bZu3YrP52P69OkXVGtJSQmzZ89mypQpvPbaa2h6MBeVzF4lhpSI9CxiZ84F4OieTdgrjgS5IjEYqKqPpppiAIwxMoxfiPPJyspiwYIFrFixgt27d7N9+3ZWrVrFbbfd5h+pVlJSQmZmJrt37/YfZ7PZ2LdvH4cPt07OmZuby759+6ipqfEfc+WVV5Kamsq6deuorKzEZrN1ux+ThCMx5MReOp/w9ExUdwuFX/6B5rre6/wnhqaqYzk4G6rQGIyYktKCXY4QA8Kbb75JZmYmc+bMYeHChVx22WXtHoG53W4OHjxIc3Ozf9tLL73E5MmT/X2IrrjiCiZPnsz7778PwJYtWzh8+DCff/45w4YNIzEx0f/RHYqqqhfWW0tgt9uxWCxk3v84WqP0NRgIfB43J997HV1oBEkLbiWiNNgViYHK43by7QdP4HY2ED/remKmzQ52SaIf87qcFD77f6ivr+/SY6qeOP076cpLHkGnu7DfSR6Pky/3/Dqg9fZH0udIDEkanZ6UG+9CUTQoiobGZAgr9spMtqLbSvO24HY2YIiMJWrK5cEuRwjRC+SxmhiyNFqdf9FI1eel8JsNVB37OshViYHEYa/EdvCfACRctQiNVv7eFGIwkO9kIYC6vD3YC7/Bzj58PjdxIy5stIQYGlSfl5D4ZLSmMCIyxga7HCFEL5FwJARgHT8NR3kxtft2cGzXRnxeDwmjfxDsskQ/5xuXRPrY+/G5XMEuRQjRi+SxmhC0rsKdOHcx0VNnAXBi718pK/gyuEWJAUFRNGhDTMEuQwjRiyQcCXGKoijEX3kDMTNa50Eq+uZDSvI+C3JVoj+yHdzGkSMf4W2RFiMhBiMJR0K0oSgK8ZcvJO6yawAoyf8MZ2N1kKsS/UmLw87J3M1U7dpKw6HcYJcjhAgA6XMkRAdiZ16NojcQEh2PJz0WSnzBLkn0E8X7P8bX4sKUkIJlrCw/I8RgJOFIiHOIOdX/CKAxWYP+uxoMoWYURRpch6rGqiIqj+4BIGHOTfK1IMQgJd/ZQnSBq6aC3C1Pc3TnX1B90oo0FKmqj+M5fwPAMm4qobJMiBCDloQjIbrAVVmG19FM1bG9HN6xAZ/PG+ySRB+rOvY1TdVFaPRG4q+4LtjlCCECSMKREF1gHjORlBt+jKLRUlO0j8P//BM+ryfYZYk+oqoqZSd2ABAzcy768KGzxpQQQ5GEIyG6yDx6Qut6bFodtcV5FH7xP7ia6oJdlugDTcO0pNxwB5asi4meMuv8BwghBjQJR0J0Q8SIsaTe/K8oegMNFUf49uN1NNWWBrssESAtDjuNya0/JvXmSIZdtwyNTsaxCDHYSTgSopvC00Yz4scPYEocjjEqFt/YxGCXJAKgumg/+z54nPqD+4JdihCij8mfQEL0gDEqjvQfrcLraEbRaGlMBp/Hg++b77AmZQa7PHGBKo/u5eiuP4Oq0nAkH8uYScEuSQjRhyQcCdFDikaLLizC/3nl9s1U7d5KdNrFDJ98PXpTRCdHi/5IVVVsB7dR9PX7AFjHTydp3i1BrkoI0dckHAnRWzQaUBSqj39NbWk+w8ZdTfzoH6DRyrfZQOBxNXN011+oLc4DIOriy0m4apFM9CjEECQ/tYXoJfGXLyRixFjKPnsXZ3kxRd98QMWRnQy/eJE8auvnvG4nuR8/RUtzHYpGS/ys64iacgWKogS7NCFEEMifREL0otCkNDJu/ylJC/4FbWg4TnslB7/8A2UFXwa7NNEJR1ooEeMmYYiMJX3ZfxA9dZYEIyGGMGk5EqKXKYqGyPHTMY+eQOWOT6n9dhfGaZNpNGsIlwVs+w1XUy2g4h4dA0Dc5QuJvXQ+WoMxuIUJIYJOwpEQAaI1mkiYvYjYS+ehNZqA1gVsq9//K2FRw4hOu1haJ4Kk5mQuR/f8BUNkHOkjVqFota19w6R/mBACCUdCBNzpYATQXHIM28FtAJQf2sHwKTcSHp0SrNKGHJ/HzYlv3qfiUHbrBtWH19ncbtShEEJInyMh+lBIfApxV1yLRm+gseoEBz55lqM7/4Lb0RDs0ga95jobeZ884w9G0ZfMJu1H90kwEkKcRVqOhOhDGp2O2OlzsI6bSvk//k59/l4qj+6muvhbho2bS/zoy2Tofy9TVZXKI7s4/vV7qB432tBwhi1cSnj6mGCXJoTop6TlSIgg0IdbGHbtj0j/0f2ExA/D1+Kk9NBXqD4vVcdyqCs7iOrzBrvMQUH1eSk7no3qcROWNoaRdz4kwUgI0Sn5E1WIIApNbh36X5e3B60hhOZUA8c/fB+vowmdMYyolPFEpU7EHDcCRSN/y/REc6qBYdffTsORfKKnXiGTOgohzkvCkRBBdnroP4DX6cA8eiL2Q9/iaW6k4vBOKg7vRB8SQWTKeGLTpxIekxrkivsvr8eF3XaYmuJclMQY4i6dB7SuhWeMigtydUKIgULCkRD9iDbERNK8H5I49yaaio5Qf/AbGr7Lxe1soOLQDnyRIf5wpKqtcyYN9ZYQV1MtdaUF1BbnY684jOr1tL5wTMEyZiLG6PjgFiiEGHAkHAnRDykaLeFpowlPG40694c0Fn2HvXAflqzJNMa1hqGGo4XYPt5EVOoEolMnERadMuTmTTq6ayOVR3a126a3RBExYizmUeMlGAkhemRo/8kpxACgaLVEpGeRfM0SQuKS/dvth3Jpaa7DVvgVBz59lv3vP07RNx/SVFOMqqpBrLj3ed1Oaoq+5cjOt3E7G2hM1tCYrEGTEg+KQmhyOnFXXMuIu/4/Rq14hMQ5NxOWOirYZQshOlFTU8PSpUsxm81YrVaWL19OY2Njp8e88sorXHnllZjNZhRFoa6u7qx9vvvuOxYtWkRMTAxms5nLLruML774olu1ScuREANU4pybicgYi/3gPhoOH8DVVEtZwZeUFXyJMTyGcfPuQx8SFuwye8zZWE1dST61JQU0VBzxj94zjBlJJNMAiBw/Deu4qehCw4NZqhCiB5YuXUpZWRlbtmzB7XZz1113sXLlSjZs2HDOY5qbm1mwYAELFixgzZo1He5z3XXXMWrUKLZu3YrJZOLpp5/muuuu48iRIyQkJHSpNglHQgxQGp0e86jxmEeNx+duoeFoAfbCfTQczQejFmdGOC5FIbzEx3dfvY7P6yYkPBrjqY+Q8CiM4VFo9SHBvpR2mmqKOZL9Fo768nbbDdYYIkaMw9Sm9UwbEtrX5QkhekFBQQGbN29mz549TJ06FYDnnnuOhQsXsm7dOpKSkjo87qc//SkAX375ZYevV1VVcejQIV599VUmTJgAwG9/+1teeOEF8vLyJBwJMZRo9AYsYyZiGTMRb4sLt73W3/+oIUmhvuIQvhYX9R0cGx6bxrirV/k/rzmZh85gwhgejSHU3CsdvlVVxdVQhcftxOt24G1xtv53iwOv20l4dCrW5CwakzV4rJE4NleAoiF0WDoRI8YRMWKsjDYTYhDJzs7GarX6gxHA3Llz0Wg07Nq1i5tuuqlH542OjmbMmDGsX7+eiy++GKPRyMsvv0xcXBxTpkzp8nkGTDiqqanhvvvu44MPPkCj0bB48WKeeeYZwsPP3ZzudDp58MEHefvtt3G5XMyfP58XXniB+PizO2lWV1czceJESkpKqK2txWq1BvBqhAgcrcGINqbtX0cqKTfejbu+mpa6alpO/euuq8brbAZzKI3JrQFIVVWObHobX4sTaO0YbgyPwhjW2tIUFp1KbEbrDzOfz0tZ/hd4TgUcr9uBp+VU+HE7iYjNIGP6LQA0Jivkr/sd0HFfqNCUEeimjQNAFxZB6g//ldDE4dIyJEQ/Ybfb231uNBoxGo09Pp/NZiMurv0fPDqdjqioKGw2W4/PqygKn332GTfeeCMRERFoNBri4uLYvHkzkZGRXT7PgAlHPXk2+bOf/Yy///3vbNy4EYvFwqpVq7j55pvZvn37WfsuX76cCRMmUFJSEsjLEKLPKYqG8OGjgLM7KHudDnxul/9z1evBlJjaGqTstag+L057JU57JfVAuLcW0+Wt/X1UFYrf/oRzBR5tZKQ/dCmAPsICgMYYgtZoavevPtyCqqr+1q6I9Kxeu34hhirdsTJ0GsOFncTXAkBKSvsFsteuXcujjz561u6rV6/miSee6PSUBQUFF1ZTJ1RV5d577yUuLo5t27ZhMpn4wx/+wPXXX8+ePXtITEzs0nkGRDjqybPJ+vp6Xn31VTZs2MBVV10FwGuvvUZWVhY7d+5kxowZ/n1ffPFF6urq+MUvfsHHH3/cNxclRD+gDTGhDTH5P9fo9KTdeg/QuuyGu6G+tbWprgp3fTWGyDN/6SmKhqiLf4Ci1Z0VdrRG01kLuo6+5xd9c1FCiF538uRJzGaz//NztRo9+OCD3HnnnZ2eKyMjg4SEBCoqKtpt93g81NTUdLlfUEe2bt3Khx9+SG1trb/eF154gS1btvC///u/rF69ukvnGRDhqCfPJnNycnC73cydO9e/LTMzk9TUVLKzs/3hKD8/n1/+8pfs2rWLo0ePBv5ihBggFI0WgyUKgyUKhnc8LD5xzs19XJUQIhjMZnO7cHQusbGxxMbGnne/mTNnUldXR05Ojr8v0NatW/H5fEyfPr3HdTY3NwOg+d5ySxqNBp/P1+XzDIh5jnrybNJms2EwGM7qOxQfH+8/xuVysWTJEp588klSU7u+JIPL5cJut7f7EEIIIUTXZGVlsWDBAlasWMHu3bvZvn07q1at4rbbbvM/DSopKSEzM5Pdu3f7j7PZbOzbt4/Dhw8DkJuby759+6ipqQFaQ1dkZCR33HEH+/fv57vvvuOhhx7i2LFjXHvttV2uL6jhaPXq1SiK0ulHYWFhwN5/zZo1ZGVlsWzZsm4d95vf/AaLxeL/+P6zWCGEEEJ07s033yQzM5M5c+awcOFCLrvsMl555RX/6263m4MHD/pbgwBeeuklJk+ezIoVKwC44oormDx5Mu+//z4AMTExbN68mcbGRq666iqmTp3KP//5T9577z0mTpzY5dqC+lgtkM8mExISaGlpoa6url3rUXl5uf+YrVu3kpuby6ZNmwD8swrHxMTwyCOP8Nhjj3V47jVr1vDAAw/4P7fb7RKQhBBCiG6IiorqdFBVWlraWbP9P/roox12BG9r6tSpfPLJJxdUW1DDUSCfTU6ZMgW9Xs/nn3/O4sWLATh48CBFRUXMnDkTgHfeeQeHw+E/Zs+ePdx9991s27aNESNGnLOeCx3CKIQQQoj+a0B0yG77bPKll17C7XZ3+Gxyzpw5rF+/nmnTpmGxWFi+fDkPPPAAUVFRmM1m7rvvPmbOnOnvjP39AFRVVeV/P5nnSAghhBiaBkQ4gtZnk6tWrWLOnDn+SSCfffZZ/+sdPZv8/e9/79+37SSQQgghhBDnMmDCUU+eTYaEhPD888/z/PPPd+k9rrzyykG3mrkQQgghumdADOUXQgghhOgrEo6EEEIIIdqQcCSEEEII0YaEIyGEEEKINiQcCSGEEEK0IeFICCGEEKINCUdCCCGEEG1IOBJCCCGEaEPCkRBCCCFEGxKOhBBCCCHakHAkhBBCCNGGhCMhhBBCiDYkHAkhhBBCtCHhSAghhBCiDQlHQgghhBBtSDgSQgghhGhDwpEQQgghRBsSjoQQQggh2pBwJIQQQgjRhoQjIYQQQog2JBwJIYQQQrQh4UgIIYQQog0JR0IIIYQQbUg4EkIIIYRoQ8KREEIIIUQbEo6EEEIIIdqQcCSEEEKIPldTU8PSpUsxm81YrVaWL19OY2Njp/vfd999jBkzBpPJRGpqKvfffz/19fUd7l9dXc2wYcNQFIW6urpu1SbhSAghhBB9bunSpRw4cIAtW7bw4Ycf8tVXX7Fy5cpz7l9aWkppaSnr1q0jLy+P119/nc2bN7N8+fIO91++fDkTJkzoUW26Hh0lhBBCCNFDBQUFbN68mT179jB16lQAnnvuORYuXMi6detISko665iLLrqId955x//5iBEj+PWvf82yZcvweDzodGcizYsvvkhdXR2/+MUv+Pjjj7tdn7QcCSGEEKJPZWdnY7Va/cEIYO7cuWg0Gnbt2tXl89TX12M2m9sFo/z8fH75y1+yfv16NJqexRxpOeoFqqoC4HU5g1yJEEKI/uz074nTvzcCyaO2gK8XzgHY7fZ2241GI0ajscfntdlsxMXFtdum0+mIiorCZrN16RxVVVX86le/avcozuVysWTJEp588klSU1M5evRoj+qTcNQLGhoaADj08i+DXIkQQoiBoKGhAYvFEpBzGwwGEhIS+NL2Rq+cLzw8nJSUlHbb1q5dy6OPPnrWvqtXr+aJJ57o9HwFBQUXXJPdbufaa69l7Nix7epYs2YNWVlZLFu27ILOr6h9EV8HOZ/PR2lpKRERESiKEuxy2rHb7aSkpHDy5EnMZnOwyxlw5P71nNy7npN7d2H68/1TVZWGhgaSkpJ6/MinK5xOJy0tLb1yLlVVz/rddq6Wo8rKSqqrqzs9X0ZGBm+88QYPPvggtbW1/u0ej4eQkBA2btzITTfddM7jGxoamD9/PqGhoXz44YeEhIT4X5s0aRK5ubn+elVVxefzodVqeeSRR3jssce6dM3SctQLNBoNw4YNC3YZnTKbzf3uh8RAIvev5+Te9ZzcuwvTX+9foFqM2goJCWkXGvpKbGwssbGx591v5syZ1NXVkZOTw5QpUwDYunUrPp+P6dOnn/M4u93O/PnzMRqNvP/++2dd4zvvvIPD4fB/vmfPHu6++262bdvGiBEjunwdEo6EEEII0aeysrJYsGABK1as4KWXXsLtdrNq1Spuu+02/0i1kpIS5syZw/r165k2bRp2u5158+bR3NzMG2+8gd1u9/eFio2NRavVnhWAqqqq/O9ntVq7XJ+EIyGEEEL0uTfffJNVq1YxZ84cNBoNixcv5tlnn/W/7na7OXjwIM3NzQB8/fXX/pFsI0eObHeuY8eOkZaW1mu1STga5IxGI2vXrr2gUQVDmdy/npN713Ny7y6M3L+BISoqig0bNpzz9bS0tHaj+q688spuj/LryTEgHbKFEEIIIdqRSSCFEEIIIdqQcCSEEEII0YaEIyGEEEKINiQcCSGEEEK0IeFoEKipqWHp0qWYzWasVivLly+nsbGx02OcTif33nsv0dHRhIeHs3jxYsrLyzvct7q6mmHDhqEoCnV1dQG4guAJxL3bv38/S5YsISUlBZPJRFZWFs8880ygLyXgnn/+edLS0ggJCWH69Ons3r270/03btxIZmYmISEhjB8/no8++qjd66qq8otf/ILExERMJhNz587l0KFDgbyEoOrN++d2u3n44YcZP348YWFhJCUl8eMf/5jS0tJAX0ZQ9PbXXlv33HMPiqLw9NNP93LVYkBTxYC3YMECdeLEierOnTvVbdu2qSNHjlSXLFnS6TH33HOPmpKSon7++efq3r171RkzZqiXXnpph/suWrRIveaaa1RAra2tDcAVBE8g7t2rr76q3n///eqXX36pHjlyRP3Tn/6kmkwm9bnnngv05QTM22+/rRoMBvWPf/yjeuDAAXXFihWq1WpVy8vLO9x/+/btqlarVX/3u9+p+fn56s9//nNVr9erubm5/n1++9vfqhaLRf3b3/6m7t+/X73hhhvU9PR01eFw9NVl9Znevn91dXXq3Llz1T//+c9qYWGhmp2drU6bNk2dMmVKX15WnwjE195p7777rjpx4kQ1KSlJ/f3vfx/gKxEDiYSjAS4/P18F1D179vi3ffzxx6qiKGpJSUmHx9TV1al6vV7duHGjf1tBQYEKqNnZ2e32feGFF9RZs2apn3/++aALR4G+d2395Cc/UWfPnt17xfexadOmqffee6//c6/XqyYlJam/+c1vOtz/1ltvVa+99tp226ZPn67+27/9m6qqqurz+dSEhAT1ySef9L9eV1enGo1G9a233grAFQRXb9+/juzevVsF1BMnTvRO0f1EoO5dcXGxmpycrObl5anDhw+XcCTakcdqA1x2djZWq5WpU6f6t82dOxeNRuOfSfT7cnJycLvdzJ07178tMzOT1NRUsrOz/dvy8/P55S9/yfr16wO6QGKwBPLefV99fT1RUVG9V3wfamlpIScnp901azQa5s6de85rzs7Obrc/wPz58/37Hzt2DJvN1m4fi8XC9OnTO72PA1Eg7l9H6uvrURSlW0sk9HeBunc+n4/bb7+dhx56iHHjxgWmeDGgDb7feEOMzWYjLi6u3TadTkdUVBQ2m+2cxxgMhrN+iMbHx/uPcblcLFmyhCeffJLU1NSA1B5sgbp337djxw7+/Oc/s3Llyl6pu69VVVXh9XqJj49vt72za7bZbJ3uf/rf7pxzoArE/fs+p9PJww8/zJIlS/rlQqs9Fah798QTT6DT6bj//vt7v2gxKEg46qdWr16NoiidfhQWFgbs/desWUNWVhbLli0L2HsESrDvXVt5eXksWrSItWvXMm/evD55TzG0uN1ubr31VlRV5cUXXwx2Of1eTk4OzzzzDK+//jqKogS7HNFPydpq/dSDDz7InXfe2ek+GRkZJCQkUFFR0W67x+OhpqaGhISEDo9LSEigpaWFurq6di0g5eXl/mO2bt1Kbm4umzZtAvCvTRMTE8MjjzzCY4891sMrC7xg37vT8vPzmTNnDitXruTnP/95j66lP4iJiUGr1Z41mrGjaz4tISGh0/1P/1teXk5iYmK7fSZNmtSL1QdfIO7faaeD0YkTJ9i6deugajWCwNy7bdu2UVFR0a5F3Ov18uCDD/L0009z/Pjx3r0IMTAFu9OTuDCnOxXv3bvXv+2TTz7pUqfiTZs2+bcVFha261R8+PBhNTc31//xxz/+UQXUHTt2nHOUyEATqHunqqqal5enxsXFqQ899FDgLqAPTZs2TV21apX/c6/XqyYnJ3faKfa6665rt23mzJlndchet26d//X6+vpB3SG7N++fqqpqS0uLeuONN6rjxo1TKyoqAlN4P9Db966qqqrdz7bc3Fw1KSlJffjhh9XCwsLAXYgYUCQcDQILFixQJ0+erO7atUv95z//qY4aNardcPTi4mJ1zJgx6q5du/zb7rnnHjU1NVXdunWrunfvXnXmzJnqzJkzz/keX3zxxaAbraaqgbl3ubm5amxsrLps2TK1rKzM/zGQf4G9/fbbqtFoVF9//XU1Pz9fXblypWq1WlWbzaaqqqrefvvt6urVq/37b9++XdXpdOq6devUgoICde3atR0O5bdarep7772nfvvtt+qiRYsG9VD+3rx/LS0t6g033KAOGzZM3bdvX7uvM5fLFZRrDJRAfO19n4xWE98n4WgQqK6uVpcsWaKGh4erZrNZveuuu9SGhgb/68eOHVMB9YsvvvBvczgc6k9+8hM1MjJSDQ0NVW+66Sa1rKzsnO8xWMNRIO7d2rVrVeCsj+HDh/fhlfW+5557Tk1NTVUNBoM6bdo0defOnf7XZs2apd5xxx3t9v/LX/6ijh49WjUYDOq4cePUv//97+1e9/l86n/913+p8fHxqtFoVOfMmaMePHiwLy4lKHrz/p3+uuzoo+3X6mDR21973yfhSHyfoqqnOpMIIYQQQggZrSaEEEII0ZaEIyGEEEKINiQcCSGEEEK0IeFICCGEEKINCUdCCCGEEG1IOBJCCCGEaEPCkRBCCCFEGxKOhBBCCCHakHAkhBBCCNGGhCMhhBBCiDYkHAkhek1lZSUJCQk8/vjj/m07duzAYDDw+eefB7EyIYToOllbTQjRqz766CNuvPFGduzYwZgxY5g0aRKLFi3iqaeeCnZpQgjRJRKOhBC97t577+Wzzz5j6tSp5ObmsmfPHoxGY7DLEkKILpFwJITodQ6Hg4suuoiTJ0+Sk5PD+PHjg12SEEJ0mfQ5EkL0uiNHjlBaWorP5+P48ePBLkcIIbpFWo6EEL2qpaWFadOmMWnSJMaMGcPTTz9Nbm4ucXFxwS5NCCG6RMKREKJXPfTQQ2zatIn9+/cTHh7OrFmzsFgsfPjhh8EuTQghukQeqwkhes2XX37J008/zZ/+9CfMZjMajYY//elPbNu2jRdffDHY5QkhRJdIy5EQQgghRBvSciSEEEII0YaEIyGEEEKINiQcCSGEEEK0IeFICCGEEKINCUdCCCGEEG1IOBJCCCGEaEPCkRBCCCFEGxKOhBBCCCHakHAkhBBCCNGGhCMhhBBCiDYkHAkhhBBCtCHhSAghhBCijf8fE1EXG5NQkZMAAAAASUVORK5CYII=", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "times = coefs.Times()[-2:]\n", + "pmin = [-0.05, -0.05, 0.0]\n", + "pmax = [ 0.05, 0.05, 0.0]\n", + "grid = [ 20, 20, 0]\n", + "\n", + "print('Creating surfaces with times:', times)\n", + "\n", + "fields = pyEXP.field.FieldGenerator(times, pmin, pmax, grid)\n", + "\n", + "print('Created fields instance')\n", + "\n", + "surfaces = fields.slices(basis, coefs)\n", + "\n", + "print('Created surfaces')\n", + "\n", + "print(\"We now have the following [time field] pairs\")\n", + "final = 0.0\n", + "for v in surfaces:\n", + " print('-'*40)\n", + " for u in surfaces[v]:\n", + " print(\"{:8.4f} {}\".format(v, u))\n", + " final = v\n", + "\n", + "# Print the potential image at the final time\n", + "# \n", + "nx = surfaces[final]['potl m>0'].shape[0]\n", + "ny = surfaces[final]['potl m>0'].shape[1]\n", + "\n", + "x = np.linspace(pmin[0], pmax[0], nx)\n", + "y = np.linspace(pmin[1], pmax[1], ny)\n", + "xv, yv = np.meshgrid(x, y)\n", + "\n", + "cont1 = plt.contour(xv, yv, surfaces[final]['potl m>0'].transpose(), colors='k')\n", + "plt.clabel(cont1, fontsize=9, inline=True)\n", + "cont2 = plt.contourf(xv, yv, surfaces[final]['potl m>0'].transpose())\n", + "plt.colorbar(cont2)\n", + "plt.xlabel('x')\n", + "plt.ylabel('y')\n", + "plt.title('Potential at T={}'.format(final))\n", + "plt.show()\n", + "\n", + "cont1 = plt.contour(xv, yv, surfaces[final]['rad force'].transpose(), colors='k')\n", + "plt.clabel(cont1, fontsize=9, inline=True)\n", + "cont2 = plt.contourf(xv, yv, surfaces[final]['rad force'].transpose())\n", + "plt.colorbar(cont2)\n", + "plt.xlabel('x')\n", + "plt.ylabel('y')\n", + "plt.title('Radial force at T={}'.format(final))\n", + "plt.show()\n", + "\n", + "cont1 = plt.contour(xv, yv, surfaces[final]['azi force'].transpose(), colors='k')\n", + "plt.clabel(cont1, fontsize=9, inline=True)\n", + "cont2 = plt.contourf(xv, yv, surfaces[final]['azi force'].transpose())\n", + "plt.colorbar(cont2)\n", + "plt.xlabel('x')\n", + "plt.ylabel('y')\n", + "plt.title('Tangential force at T={}'.format(final))\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "4f9def29-99f0-4e01-ad21-9f904665b011", + "metadata": {}, + "source": [ + "### An mSSA example\n", + "\n", + "We begin by configuring expMSSA with the desired coefficient channels. As an example, we'll use some of the \n", + "lowest-order m=2 coefficients for the disk.\n", + "\n", + "We begin by making some YAML parameter flags for `expMSSA`. The defaults should work fine\n", + "for most people. `chatty` turns on `std::cout` diagnostics and `output` is the prefix for written files." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "bdfa504f-98ca-4f2e-936f-f6f12e3a80e8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "All m=2 keys= [[2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [2, 8], [2, 9], [2, 10], [2, 11]]\n", + "Custom keys= [[2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7]]\n", + "Window=50 PC number=20\n" + ] + } + ], + "source": [ + "flags =\"\"\"\n", + "---\n", + "# chatty: on\n", + "output: mytest2\n", + "...\n", + "\"\"\"\n", + "\n", + "# Make a subkey sequence\n", + "#\n", + "keylst = coefs.makeKeys([2])\n", + "print(\"All m=2 keys=\", keylst)\n", + "\n", + "# Make some custom [m, n] pairs\n", + "keylst = [[2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7]]\n", + "print(\"Custom keys=\", keylst)\n", + "\n", + "config = {\"star disk\": (coefs, keylst, [])}\n", + "\n", + "window = int(len(coefs.Times())/2)\n", + "npc = 20\n", + "\n", + "print(\"Window={} PC number={}\".format(window, npc))\n", + "\n", + "startTime = time.time()\n", + "ssa = pyEXP.mssa.expMSSA(config, window, npc, flags)" + ] + }, + { + "cell_type": "markdown", + "id": "8a65bc12-8bde-4ee5-b238-99fad2724bd8", + "metadata": {}, + "source": [ + "### Plot the mSSA singular values (eigenvalues)\n", + "\n", + "The magnitude of these reveal the relative variance contained in each component. The large the variance, the larger the contribution of the PC to correlated dynamics." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "0315f439-a57e-4657-aabf-11435a2c82e9", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Computed eigenvalues in 0.03 secondsshape U = 800 x 52\n", + "shape Y = 52 x 800\n", + "\n" + ] + }, + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ev = ssa.eigenvalues()\n", + "print('Computed eigenvalues in {:6.2f} seconds'.format(time.time() - startTime))\n", + "\n", + "plt.plot(ev, 'o-')\n", + "plt.xlabel(\"Index\")\n", + "plt.ylabel(\"EV\")\n", + "plt.title(\"Eigenvalues by index\")\n", + "plt.show()\n", + "\n", + "times = coefs.Times()\n", + "pc = ssa.getPC()\n", + "\n", + "rows, cols = pc.shape\n", + "\n", + "for i in range(min(cols,4)):\n", + " plt.plot(times[0:rows], pc[:,i], '-', label=\"{:d}\".format(i))\n", + "\n", + "plt.xlabel('Time')\n", + "plt.ylabel('PC')\n", + "plt.legend()\n", + "plt.title(\"Principal components (left-singular vectors)\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "23d8a7f0-32c3-4bfa-803a-2242e3521b76", + "metadata": {}, + "source": [ + "### Use k-means to estimate grouping\n", + "\n", + "Based on the eigenvalue plot above, we'll perform an analysis with the first 10 PCs and allow up to 6 clusters. For a small time series like this one, the idenification of clusters will be uncertain. \n", + "\n", + "Note that `stride=2`specifies choosing initial k-means centers from the PC list with a stride of 2. This is a good choice for quasi-periodic signals typical of galactic dynamics. If one chooses `stride=0`, the k-means algorithm is seeded randomly from the list of input PCs. Try rerunning the following cell with `stride=0` to get a sense of the predicted cluster variation." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "acfbd679-90f6-4a41-aabe-5ac1c4478b5f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Calling k-means\n", + "Return error: 0.0\n", + "\n", + "\n", + "PC | id | distance \n", + "---- | ---- | -------- \n", + "0 | 0 | 1.086620e+01 \n", + "1 | 0 | 9.378173e+00 \n", + "2 | 1 | 5.533200e+00 \n", + "3 | 1 | 5.533200e+00 \n", + "4 | 2 | 1.941132e+00 \n", + "5 | 2 | 1.941132e+00 \n", + "6 | 3 | 9.869945e-01 \n", + "7 | 3 | 9.869945e-01 \n", + "8 | 4 | 2.641111e+00 \n", + "9 | 4 | 2.641111e+00 \n", + "10 | 0 | 1.862086e+00 \n", + "11 | 0 | 1.862086e+00 \n", + "12 | 0 | 1.862086e+00 \n", + "13 | 0 | 1.862086e+00 \n", + "14 | 0 | 1.862086e+00 \n", + "15 | 0 | 1.862086e+00 \n", + "16 | 0 | 1.862086e+00 \n", + "17 | 0 | 1.862086e+00 \n", + "18 | 0 | 1.862086e+00 \n", + "19 | 0 | 1.862086e+00 \n" + ] + } + ], + "source": [ + "ssa.reconstruct([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])\n", + "\n", + "print('Calling k-means')\n", + "id, dist, err = ssa.kmeans(clusters=6, stride=2)\n", + "print('Return error:', err)\n", + "\n", + "# Print the results\n", + "print('\\n')\n", + "print('{:<4s} | {:<4s} | {:<13s}'.format('PC', 'id', 'distance'))\n", + "print('{:<4s} | {:<4s} | {:<13s}'.format('----', '----', '--------'))\n", + "for k in range(len(id)):\n", + " print('{:<4d} | {:<4d} | {:<13.6e}'.format(k, id[k], dist[k]))" + ] + }, + { + "cell_type": "markdown", + "id": "8bd9d29c-04a7-41b3-9439-a51a9783dabf", + "metadata": {}, + "source": [ + "Let's compare this with the results from the w-correlation matrix for all channels:" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "c0cac518-82c2-4d88-abd4-6bb95d555ac0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mat = ssa.wCorrAll()\n", + "x = plt.pcolormesh(mat)\n", + "plt.title(\"All channels\")\n", + "plt.colorbar(x)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "1bc9737f-b704-44db-b381-dbada875a13f", + "metadata": {}, + "source": [ + "The w-correlation matrix also indicates 5 groups of pairs, corroborating the k-means findings. An eigenvalue plot for this analysis is plotted below. We clearly see that eigenvalues 10-20 carry little variance and most likely consistent with uncorrelated noise." + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "fd9507a5-388a-48f5-8463-49dcea4ba1a2", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ev = ssa.eigenvalues()\n", + "\n", + "plt.plot(ev, 'o-')\n", + "plt.xlabel(\"Index\")\n", + "plt.ylabel(\"EV\")\n", + "plt.title(\"Eigenvalues by index\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "708c8822-a93a-4767-a013-58b7f8ec4899", + "metadata": {}, + "source": [ + "### Try a reconstruction for the first two PCs\n", + "\n", + "We can see from the singular value plot above that the first pair of PCs dominate the variance" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "935afa3f-d942-4747-859b-8ddacb524551", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Calling reconstruction\n", + "Reconstruction took 0.01 seconds\n", + "newdata is a \n", + "Created surfaces from reconstruction\n", + "We now have the following [time field] pairs\n", + "----------------------------------------\n", + " 0.1980 azi force\n", + " 0.1980 dens\n", + " 0.1980 dens m=0\n", + " 0.1980 dens m>0\n", + " 0.1980 potl\n", + " 0.1980 potl m=0\n", + " 0.1980 potl m>0\n", + " 0.1980 rad force\n", + " 0.1980 ver force\n", + "----------------------------------------\n", + " 0.2000 azi force\n", + " 0.2000 dens\n", + " 0.2000 dens m=0\n", + " 0.2000 dens m>0\n", + " 0.2000 potl\n", + " 0.2000 potl m=0\n", + " 0.2000 potl m>0\n", + " 0.2000 rad force\n", + " 0.2000 ver force\n" + ] + }, + { + "data": { + "image/png": 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", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "startTime = time.time()\n", + "print('Calling reconstruction')\n", + "ssa.reconstruct([0, 1])\n", + "print('Reconstruction took {:6.2f} seconds'.format(time.time() - startTime))\n", + "\n", + "# Zero all but reconstructed\n", + "coefs.zerodata()\n", + "newdata = ssa.getReconstructed() \n", + "print('newdata is a', type(newdata))\n", + "\n", + "surfaces = fields.slices(basis, newdata['star disk'])\n", + "\n", + "print('Created surfaces from reconstruction')\n", + "\n", + "print(\"We now have the following [time field] pairs\")\n", + "final = 0.0\n", + "for v in surfaces:\n", + " print('-'*40)\n", + " for u in surfaces[v]:\n", + " print(\"{:8.4f} {}\".format(v, u))\n", + " final = v\n", + "\n", + "# Print the potential image at the final time (I think there is a\n", + "# fencepost issue in this grid, no matter).\n", + "nx = surfaces[final]['potl m>0'].shape[0]\n", + "ny = surfaces[final]['potl m>0'].shape[1]\n", + "\n", + "x = np.linspace(pmin[0], pmax[0], nx)\n", + "y = np.linspace(pmin[1], pmax[1], ny)\n", + "xv, yv = np.meshgrid(x, y)\n", + "\n", + "cont1 = plt.contour(xv, yv, surfaces[final]['potl m>0'].transpose(), colors='k')\n", + "plt.clabel(cont1, fontsize=9, inline=True)\n", + "cont2 = plt.contourf(xv, yv, surfaces[final]['potl m>0'].transpose())\n", + "plt.colorbar(cont2)\n", + "plt.xlabel('x')\n", + "plt.ylabel('y')\n", + "plt.title('Potential at T={}'.format(final))\n", + "plt.show()\n", + "\n", + "cont1 = plt.contour(xv, yv, surfaces[final]['rad force'].transpose(), colors='k')\n", + "plt.clabel(cont1, fontsize=9, inline=True)\n", + "cont2 = plt.contourf(xv, yv, surfaces[final]['rad force'].transpose())\n", + "plt.colorbar(cont2)\n", + "plt.xlabel('x')\n", + "plt.ylabel('y')\n", + "plt.title('Radial force at T={}'.format(final))\n", + "plt.show()\n", + "\n", + "cont1 = plt.contour(xv, yv, surfaces[final]['azi force'].transpose(), colors='k')\n", + "plt.clabel(cont1, fontsize=9, inline=True)\n", + "cont2 = plt.contourf(xv, yv, surfaces[final]['azi force'].transpose())\n", + "plt.colorbar(cont2)\n", + "plt.xlabel('x')\n", + "plt.ylabel('y')\n", + "plt.title('Tangential force at T={}'.format(final))\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "6fc42a3c-af4f-4441-a132-65418d316e43", + "metadata": {}, + "source": [ + "***\n", + "\n", + "## Where do you want to go next?\n", + "\n", + "- [Return to Table of Contents](../README.ipynb)\n", + "- [Back to previous notebook](cosine%20multichannel.ipynb)\n", + "- [Go to next notebook](../Orbits/orbits%20in%20an%20EXP%20field.ipynb)\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.3" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}